diff --git a/.ci/update_windows/update.py b/.ci/update_windows/update.py new file mode 100644 index 0000000000000000000000000000000000000000..1fb8ecb9317ee27d3d2f64b6b598a54cb827c779 --- /dev/null +++ b/.ci/update_windows/update.py @@ -0,0 +1,151 @@ +import pygit2 +from datetime import datetime +import sys +import os +import shutil +import filecmp + +def pull(repo, remote_name='origin', branch='master'): + for remote in repo.remotes: + if remote.name == remote_name: + remote.fetch() + remote_master_id = repo.lookup_reference('refs/remotes/origin/%s' % (branch)).target + merge_result, _ = repo.merge_analysis(remote_master_id) + # Up to date, do nothing + if merge_result & pygit2.GIT_MERGE_ANALYSIS_UP_TO_DATE: + return + # We can just fastforward + elif merge_result & pygit2.GIT_MERGE_ANALYSIS_FASTFORWARD: + repo.checkout_tree(repo.get(remote_master_id)) + try: + master_ref = repo.lookup_reference('refs/heads/%s' % (branch)) + master_ref.set_target(remote_master_id) + except KeyError: + repo.create_branch(branch, repo.get(remote_master_id)) + repo.head.set_target(remote_master_id) + elif merge_result & pygit2.GIT_MERGE_ANALYSIS_NORMAL: + repo.merge(remote_master_id) + + if repo.index.conflicts is not None: + for conflict in repo.index.conflicts: + print('Conflicts found in:', conflict[0].path) # noqa: T201 + raise AssertionError('Conflicts, ahhhhh!!') + + user = repo.default_signature + tree = repo.index.write_tree() + repo.create_commit('HEAD', + user, + user, + 'Merge!', + tree, + [repo.head.target, remote_master_id]) + # We need to do this or git CLI will think we are still merging. + repo.state_cleanup() + else: + raise AssertionError('Unknown merge analysis result') + +pygit2.option(pygit2.GIT_OPT_SET_OWNER_VALIDATION, 0) +repo_path = str(sys.argv[1]) +repo = pygit2.Repository(repo_path) +ident = pygit2.Signature('comfyui', 'comfy@ui') +try: + print("stashing current changes") # noqa: T201 + repo.stash(ident) +except KeyError: + print("nothing to stash") # noqa: T201 +backup_branch_name = 'backup_branch_{}'.format(datetime.today().strftime('%Y-%m-%d_%H_%M_%S')) +print("creating backup branch: {}".format(backup_branch_name)) # noqa: T201 +try: + repo.branches.local.create(backup_branch_name, repo.head.peel()) +except: + pass + +print("checking out master branch") # noqa: T201 +branch = repo.lookup_branch('master') +if branch is None: + try: + ref = repo.lookup_reference('refs/remotes/origin/master') + except: + print("pulling.") # noqa: T201 + pull(repo) + ref = repo.lookup_reference('refs/remotes/origin/master') + repo.checkout(ref) + branch = repo.lookup_branch('master') + if branch is None: + repo.create_branch('master', repo.get(ref.target)) +else: + ref = repo.lookup_reference(branch.name) + repo.checkout(ref) + +print("pulling latest changes") # noqa: T201 +pull(repo) + +if "--stable" in sys.argv: + def latest_tag(repo): + versions = [] + for k in repo.references: + try: + prefix = "refs/tags/v" + if k.startswith(prefix): + version = list(map(int, k[len(prefix):].split("."))) + versions.append((version[0] * 10000000000 + version[1] * 100000 + version[2], k)) + except: + pass + versions.sort() + if len(versions) > 0: + return versions[-1][1] + return None + latest_tag = latest_tag(repo) + if latest_tag is not None: + repo.checkout(latest_tag) + +print("Done!") # noqa: T201 + +self_update = True +if len(sys.argv) > 2: + self_update = '--skip_self_update' not in sys.argv + +update_py_path = os.path.realpath(__file__) +repo_update_py_path = os.path.join(repo_path, ".ci/update_windows/update.py") + +cur_path = os.path.dirname(update_py_path) + + +req_path = os.path.join(cur_path, "current_requirements.txt") +repo_req_path = os.path.join(repo_path, "requirements.txt") + + +def files_equal(file1, file2): + try: + return filecmp.cmp(file1, file2, shallow=False) + except: + return False + +def file_size(f): + try: + return os.path.getsize(f) + except: + return 0 + + +if self_update and not files_equal(update_py_path, repo_update_py_path) and file_size(repo_update_py_path) > 10: + shutil.copy(repo_update_py_path, os.path.join(cur_path, "update_new.py")) + exit() + +if not os.path.exists(req_path) or not files_equal(repo_req_path, req_path): + import subprocess + try: + subprocess.check_call([sys.executable, '-s', '-m', 'pip', 'install', '-r', repo_req_path]) + shutil.copy(repo_req_path, req_path) + except: + pass + + +stable_update_script = os.path.join(repo_path, ".ci/update_windows/update_comfyui_stable.bat") +stable_update_script_to = os.path.join(cur_path, "update_comfyui_stable.bat") + +try: + if not file_size(stable_update_script_to) > 10: + shutil.copy(stable_update_script, stable_update_script_to) +except: + pass diff --git a/.ci/update_windows/update_comfyui.bat b/.ci/update_windows/update_comfyui.bat new file mode 100644 index 0000000000000000000000000000000000000000..9f0c32c7ee41fc34bb33e9ce528237ab50fb12e0 --- /dev/null +++ b/.ci/update_windows/update_comfyui.bat @@ -0,0 +1,8 @@ +@echo off +..\python_embeded\python.exe .\update.py ..\ComfyUI\ +if exist update_new.py ( + move /y update_new.py update.py + echo Running updater again since it got updated. + ..\python_embeded\python.exe .\update.py ..\ComfyUI\ --skip_self_update +) +if "%~1"=="" pause diff --git a/.ci/update_windows/update_comfyui_stable.bat b/.ci/update_windows/update_comfyui_stable.bat new file mode 100644 index 0000000000000000000000000000000000000000..801db0c85004d2a1d03243839284d9ddaa785561 --- /dev/null +++ b/.ci/update_windows/update_comfyui_stable.bat @@ -0,0 +1,8 @@ +@echo off +..\python_embeded\python.exe .\update.py ..\ComfyUI\ --stable +if exist update_new.py ( + move /y update_new.py update.py + echo Running updater again since it got updated. + ..\python_embeded\python.exe .\update.py ..\ComfyUI\ --skip_self_update --stable +) +if "%~1"=="" pause diff --git a/.ci/windows_base_files/README_VERY_IMPORTANT.txt b/.ci/windows_base_files/README_VERY_IMPORTANT.txt new file mode 100644 index 0000000000000000000000000000000000000000..6711a3fddacf3583dbad83bf37117112ca62b771 --- /dev/null +++ b/.ci/windows_base_files/README_VERY_IMPORTANT.txt @@ -0,0 +1,34 @@ +HOW TO RUN: + +if you have a NVIDIA gpu: + +run_nvidia_gpu.bat + +if you want to enable the fast fp16 accumulation (faster for fp16 models with slightly less quality): + +run_nvidia_gpu_fast_fp16_accumulation.bat + + +To run it in slow CPU mode: + +run_cpu.bat + + + +IF YOU GET A RED ERROR IN THE UI MAKE SURE YOU HAVE A MODEL/CHECKPOINT IN: ComfyUI\models\checkpoints + +You can download the stable diffusion 1.5 one from: https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/blob/main/v1-5-pruned-emaonly-fp16.safetensors + + +RECOMMENDED WAY TO UPDATE: +To update the ComfyUI code: update\update_comfyui.bat + + + +To update ComfyUI with the python dependencies, note that you should ONLY run this if you have issues with python dependencies. +update\update_comfyui_and_python_dependencies.bat + + +TO SHARE MODELS BETWEEN COMFYUI AND ANOTHER UI: +In the ComfyUI directory you will find a file: extra_model_paths.yaml.example +Rename this file to: extra_model_paths.yaml and edit it with your favorite text editor. diff --git a/.ci/windows_base_files/run_cpu.bat b/.ci/windows_base_files/run_cpu.bat new file mode 100644 index 0000000000000000000000000000000000000000..fb9e7ae08531081f80460299a7d615a598774be4 --- /dev/null +++ b/.ci/windows_base_files/run_cpu.bat @@ -0,0 +1,2 @@ +.\python_embeded\python.exe -s ComfyUI\main.py --cpu --windows-standalone-build +pause diff --git a/.ci/windows_base_files/run_nvidia_gpu.bat b/.ci/windows_base_files/run_nvidia_gpu.bat new file mode 100644 index 0000000000000000000000000000000000000000..3c845624dbf9cc39a2c715b97cb72e85aee644f4 --- /dev/null +++ b/.ci/windows_base_files/run_nvidia_gpu.bat @@ -0,0 +1,2 @@ +.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build +pause diff --git a/.ci/windows_base_files/run_nvidia_gpu_fast_fp16_accumulation.bat b/.ci/windows_base_files/run_nvidia_gpu_fast_fp16_accumulation.bat new file mode 100644 index 0000000000000000000000000000000000000000..0c5e090c0d8a5cd7b194d9723237b128be5eb7e8 --- /dev/null +++ b/.ci/windows_base_files/run_nvidia_gpu_fast_fp16_accumulation.bat @@ -0,0 +1,2 @@ +.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --fast fp16_accumulation +pause diff --git a/.ci/windows_nightly_base_files/run_nvidia_gpu_fast.bat b/.ci/windows_nightly_base_files/run_nvidia_gpu_fast.bat new file mode 100644 index 0000000000000000000000000000000000000000..d0514966c20caa12a664d85da473b0299a9df673 --- /dev/null +++ b/.ci/windows_nightly_base_files/run_nvidia_gpu_fast.bat @@ -0,0 +1,2 @@ +.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --fast +pause diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..5b3c15bb47c2fec4ac06b90249da3993c192090e --- /dev/null +++ b/.gitattributes @@ -0,0 +1,3 @@ +/web/assets/** linguist-generated +/web/** linguist-vendored +comfy_api_nodes/apis/__init__.py linguist-generated diff --git a/.github/ISSUE_TEMPLATE/bug-report.yml b/.github/ISSUE_TEMPLATE/bug-report.yml new file mode 100644 index 0000000000000000000000000000000000000000..3cf2717b75fa8fc98048a5ea5d6e8dd1d8980cd9 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug-report.yml @@ -0,0 +1,56 @@ +name: Bug Report +description: "Something is broken inside of ComfyUI. (Do not use this if you're just having issues and need help, or if the issue relates to a custom node)" +labels: ["Potential Bug"] +body: + - type: markdown + attributes: + value: | + Before submitting a **Bug Report**, please ensure the following: + + - **1:** You are running the latest version of ComfyUI. + - **2:** You have looked at the existing bug reports and made sure this isn't already reported. + - **3:** You confirmed that the bug is not caused by a custom node. You can disable all custom nodes by passing + `--disable-all-custom-nodes` command line argument. + - **4:** This is an actual bug in ComfyUI, not just a support question. A bug is when you can specify exact + steps to replicate what went wrong and others will be able to repeat your steps and see the same issue happen. + + If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first. + - type: checkboxes + id: custom-nodes-test + attributes: + label: Custom Node Testing + description: Please confirm you have tried to reproduce the issue with all custom nodes disabled. + options: + - label: I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help) + required: false + - type: textarea + attributes: + label: Expected Behavior + description: "What you expected to happen." + validations: + required: true + - type: textarea + attributes: + label: Actual Behavior + description: "What actually happened. Please include a screenshot of the issue if possible." + validations: + required: true + - type: textarea + attributes: + label: Steps to Reproduce + description: "Describe how to reproduce the issue. Please be sure to attach a workflow JSON or PNG, ideally one that doesn't require custom nodes to test. If the bug open happens when certain custom nodes are used, most likely that custom node is what has the bug rather than ComfyUI, in which case it should be reported to the node's author." + validations: + required: true + - type: textarea + attributes: + label: Debug Logs + description: "Please copy the output from your terminal logs here." + render: powershell + validations: + required: true + - type: textarea + attributes: + label: Other + description: "Any other additional information you think might be helpful." + validations: + required: false diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 0000000000000000000000000000000000000000..09fea712edc0df7bada8c850abde6370cbf35719 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1,11 @@ +blank_issues_enabled: true +contact_links: + - name: ComfyUI Frontend Issues + url: https://github.com/Comfy-Org/ComfyUI_frontend/issues + about: Issues related to the ComfyUI frontend (display issues, user interaction bugs), please go to the frontend repo to file the issue + - name: ComfyUI Matrix Space + url: https://app.element.io/#/room/%23comfyui_space%3Amatrix.org + about: The ComfyUI Matrix Space is available for support and general discussion related to ComfyUI (Matrix is like Discord but open source). + - name: Comfy Org Discord + url: https://discord.gg/comfyorg + about: The Comfy Org Discord is available for support and general discussion related to ComfyUI. diff --git a/.github/ISSUE_TEMPLATE/feature-request.yml b/.github/ISSUE_TEMPLATE/feature-request.yml new file mode 100644 index 0000000000000000000000000000000000000000..419721b63b4c0df62989862ea12cf2274d5788d7 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature-request.yml @@ -0,0 +1,32 @@ +name: Feature Request +description: "You have an idea for something new you would like to see added to ComfyUI's core." +labels: [ "Feature" ] +body: + - type: markdown + attributes: + value: | + Before submitting a **Feature Request**, please ensure the following: + + **1:** You are running the latest version of ComfyUI. + **2:** You have looked to make sure there is not already a feature that does what you need, and there is not already a Feature Request listed for the same idea. + **3:** This is something that makes sense to add to ComfyUI Core, and wouldn't make more sense as a custom node. + + If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first. + - type: textarea + attributes: + label: Feature Idea + description: "Describe the feature you want to see." + validations: + required: true + - type: textarea + attributes: + label: Existing Solutions + description: "Please search through available custom nodes / extensions to see if there are existing custom solutions for this. If so, please link the options you found here as a reference." + validations: + required: false + - type: textarea + attributes: + label: Other + description: "Any other additional information you think might be helpful." + validations: + required: false diff --git a/.github/ISSUE_TEMPLATE/user-support.yml b/.github/ISSUE_TEMPLATE/user-support.yml new file mode 100644 index 0000000000000000000000000000000000000000..281661f92633fc5e5cc01eac4b3ac6dc2ce99677 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/user-support.yml @@ -0,0 +1,40 @@ +name: User Support +description: "Use this if you need help with something, or you're experiencing an issue." +labels: [ "User Support" ] +body: + - type: markdown + attributes: + value: | + Before submitting a **User Report** issue, please ensure the following: + + **1:** You are running the latest version of ComfyUI. + **2:** You have made an effort to find public answers to your question before asking here. In other words, you googled it first, and scrolled through recent help topics. + + If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first. + - type: checkboxes + id: custom-nodes-test + attributes: + label: Custom Node Testing + description: Please confirm you have tried to reproduce the issue with all custom nodes disabled. + options: + - label: I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help) + required: false + - type: textarea + attributes: + label: Your question + description: "Post your question here. Please be as detailed as possible." + validations: + required: true + - type: textarea + attributes: + label: Logs + description: "If your question relates to an issue you're experiencing, please go to `Server` -> `Logs` -> potentially set `View Type` to `Debug` as well, then copypaste all the text into here." + render: powershell + validations: + required: false + - type: textarea + attributes: + label: Other + description: "Any other additional information you think might be helpful." + validations: + required: false diff --git a/.github/workflows/check-line-endings.yml b/.github/workflows/check-line-endings.yml new file mode 100644 index 0000000000000000000000000000000000000000..eeb594d6cd39a60ca6f1808b7e2bb7af3056842c --- /dev/null +++ b/.github/workflows/check-line-endings.yml @@ -0,0 +1,40 @@ +name: Check for Windows Line Endings + +on: + pull_request: + branches: ['*'] # Trigger on all pull requests to any branch + +jobs: + check-line-endings: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + fetch-depth: 0 # Fetch all history to compare changes + + - name: Check for Windows line endings (CRLF) + run: | + # Get the list of changed files in the PR + CHANGED_FILES=$(git diff --name-only ${{ github.event.pull_request.base.sha }}..${{ github.event.pull_request.head.sha }}) + + # Flag to track if CRLF is found + CRLF_FOUND=false + + # Loop through each changed file + for FILE in $CHANGED_FILES; do + # Check if the file exists and is a text file + if [ -f "$FILE" ] && file "$FILE" | grep -q "text"; then + # Check for CRLF line endings + if grep -UP '\r$' "$FILE"; then + echo "Error: Windows line endings (CRLF) detected in $FILE" + CRLF_FOUND=true + fi + fi + done + + # Exit with error if CRLF was found + if [ "$CRLF_FOUND" = true ]; then + exit 1 + fi diff --git a/.github/workflows/pullrequest-ci-run.yml b/.github/workflows/pullrequest-ci-run.yml new file mode 100644 index 0000000000000000000000000000000000000000..a2a4b265c9847f7d46f7625f68f86abb5dbda304 --- /dev/null +++ b/.github/workflows/pullrequest-ci-run.yml @@ -0,0 +1,53 @@ +# This is the GitHub Workflow that drives full-GPU-enabled tests of pull requests to ComfyUI, when the 'Run-CI-Test' label is added +# Results are reported as checkmarks on the commits, as well as onto https://ci.comfy.org/ +name: Pull Request CI Workflow Runs +on: + pull_request_target: + types: [labeled] + +jobs: + pr-test-stable: + if: ${{ github.event.label.name == 'Run-CI-Test' }} + strategy: + fail-fast: false + matrix: + os: [macos, linux, windows] + python_version: ["3.9", "3.10", "3.11", "3.12"] + cuda_version: ["12.1"] + torch_version: ["stable"] + include: + - os: macos + runner_label: [self-hosted, macOS] + flags: "--use-pytorch-cross-attention" + - os: linux + runner_label: [self-hosted, Linux] + flags: "" + - os: windows + runner_label: [self-hosted, Windows] + flags: "" + runs-on: ${{ matrix.runner_label }} + steps: + - name: Test Workflows + uses: comfy-org/comfy-action@main + with: + os: ${{ matrix.os }} + python_version: ${{ matrix.python_version }} + torch_version: ${{ matrix.torch_version }} + google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }} + comfyui_flags: ${{ matrix.flags }} + use_prior_commit: 'true' + comment: + if: ${{ github.event.label.name == 'Run-CI-Test' }} + runs-on: ubuntu-latest + permissions: + pull-requests: write + steps: + - uses: actions/github-script@v6 + with: + script: | + github.rest.issues.createComment({ + issue_number: context.issue.number, + owner: context.repo.owner, + repo: context.repo.repo, + body: '(Automated Bot Message) CI Tests are running, you can view the results at https://ci.comfy.org/?branch=${{ github.event.pull_request.number }}%2Fmerge' + }) diff --git a/.github/workflows/release-webhook.yml b/.github/workflows/release-webhook.yml new file mode 100644 index 0000000000000000000000000000000000000000..6fceb7560ecf11120e91e966a8c1420a37ded379 --- /dev/null +++ b/.github/workflows/release-webhook.yml @@ -0,0 +1,108 @@ +name: Release Webhook + +on: + release: + types: [published] + +jobs: + send-webhook: + runs-on: ubuntu-latest + steps: + - name: Send release webhook + env: + WEBHOOK_URL: ${{ secrets.RELEASE_GITHUB_WEBHOOK_URL }} + WEBHOOK_SECRET: ${{ secrets.RELEASE_GITHUB_WEBHOOK_SECRET }} + run: | + # Generate UUID for delivery ID + DELIVERY_ID=$(uuidgen) + HOOK_ID="release-webhook-$(date +%s)" + + # Create webhook payload matching GitHub release webhook format + PAYLOAD=$(cat <> ./python3${{ inputs.python_minor }}._pth + curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py + ./python.exe get-pip.py + ./python.exe -s -m pip install ../cu${{ inputs.cu }}_python_deps/* + sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth + + rm ./Lib/site-packages/torch/lib/dnnl.lib #I don't think this is actually used and I need the space + rm ./Lib/site-packages/torch/lib/libprotoc.lib + rm ./Lib/site-packages/torch/lib/libprotobuf.lib + + cd .. + + git clone --depth 1 https://github.com/comfyanonymous/taesd + cp taesd/*.safetensors ./ComfyUI_copy/models/vae_approx/ + + mkdir ComfyUI_windows_portable + mv python_embeded ComfyUI_windows_portable + mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI + + cd ComfyUI_windows_portable + + mkdir update + cp -r ComfyUI/.ci/update_windows/* ./update/ + cp -r ComfyUI/.ci/windows_base_files/* ./ + cp ../update_comfyui_and_python_dependencies.bat ./update/ + + cd .. + + "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=9 -mfb=128 -md=768m -ms=on -mf=BCJ2 ComfyUI_windows_portable.7z ComfyUI_windows_portable + mv ComfyUI_windows_portable.7z ComfyUI/ComfyUI_windows_portable_nvidia.7z + + cd ComfyUI_windows_portable + python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu + + python_embeded/python.exe -s ./update/update.py ComfyUI/ + + ls + + - name: Upload binaries to release + uses: svenstaro/upload-release-action@v2 + with: + repo_token: ${{ secrets.GITHUB_TOKEN }} + file: ComfyUI_windows_portable_nvidia.7z + tag: ${{ inputs.git_tag }} + overwrite: true + draft: true diff --git a/.github/workflows/stale-issues.yml b/.github/workflows/stale-issues.yml new file mode 100644 index 0000000000000000000000000000000000000000..0459960706dccca86452bc82804dc79b8bcadeda --- /dev/null +++ b/.github/workflows/stale-issues.yml @@ -0,0 +1,21 @@ +name: 'Close stale issues' +on: + schedule: + # Run daily at 430 am PT + - cron: '30 11 * * *' +permissions: + issues: write + +jobs: + stale: + runs-on: ubuntu-latest + steps: + - uses: actions/stale@v9 + with: + stale-issue-message: "This issue is being marked stale because it has not had any activity for 30 days. Reply below within 7 days if your issue still isn't solved, and it will be left open. Otherwise, the issue will be closed automatically." + days-before-stale: 30 + days-before-close: 7 + stale-issue-label: 'Stale' + only-labels: 'User Support' + exempt-all-assignees: true + exempt-all-milestones: true diff --git a/.github/workflows/test-build.yml b/.github/workflows/test-build.yml new file mode 100644 index 0000000000000000000000000000000000000000..419873ad88ac8150ffddd4980cd701e672adc523 --- /dev/null +++ b/.github/workflows/test-build.yml @@ -0,0 +1,31 @@ +name: Build package + +# +# This workflow is a test of the python package build. +# Install Python dependencies across different Python versions. +# + +on: + push: + paths: + - "requirements.txt" + - ".github/workflows/test-build.yml" + +jobs: + build: + name: Build Test + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r requirements.txt diff --git a/.github/workflows/test-ci.yml b/.github/workflows/test-ci.yml new file mode 100644 index 0000000000000000000000000000000000000000..418dca0ab75e8ebeee27969fb86919357328dd3d --- /dev/null +++ b/.github/workflows/test-ci.yml @@ -0,0 +1,96 @@ +# This is the GitHub Workflow that drives automatic full-GPU-enabled tests of all new commits to the master branch of ComfyUI +# Results are reported as checkmarks on the commits, as well as onto https://ci.comfy.org/ +name: Full Comfy CI Workflow Runs +on: + push: + branches: + - master + paths-ignore: + - 'app/**' + - 'input/**' + - 'output/**' + - 'notebooks/**' + - 'script_examples/**' + - '.github/**' + - 'web/**' + workflow_dispatch: + +jobs: + test-stable: + strategy: + fail-fast: false + matrix: + # os: [macos, linux, windows] + os: [macos, linux] + python_version: ["3.9", "3.10", "3.11", "3.12"] + cuda_version: ["12.1"] + torch_version: ["stable"] + include: + - os: macos + runner_label: [self-hosted, macOS] + flags: "--use-pytorch-cross-attention" + - os: linux + runner_label: [self-hosted, Linux] + flags: "" + # - os: windows + # runner_label: [self-hosted, Windows] + # flags: "" + runs-on: ${{ matrix.runner_label }} + steps: + - name: Test Workflows + uses: comfy-org/comfy-action@main + with: + os: ${{ matrix.os }} + python_version: ${{ matrix.python_version }} + torch_version: ${{ matrix.torch_version }} + google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }} + comfyui_flags: ${{ matrix.flags }} + + # test-win-nightly: + # strategy: + # fail-fast: true + # matrix: + # os: [windows] + # python_version: ["3.9", "3.10", "3.11", "3.12"] + # cuda_version: ["12.1"] + # torch_version: ["nightly"] + # include: + # - os: windows + # runner_label: [self-hosted, Windows] + # flags: "" + # runs-on: ${{ matrix.runner_label }} + # steps: + # - name: Test Workflows + # uses: comfy-org/comfy-action@main + # with: + # os: ${{ matrix.os }} + # python_version: ${{ matrix.python_version }} + # torch_version: ${{ matrix.torch_version }} + # google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }} + # comfyui_flags: ${{ matrix.flags }} + + test-unix-nightly: + strategy: + fail-fast: false + matrix: + os: [macos, linux] + python_version: ["3.11"] + cuda_version: ["12.1"] + torch_version: ["nightly"] + include: + - os: macos + runner_label: [self-hosted, macOS] + flags: "--use-pytorch-cross-attention" + - os: linux + runner_label: [self-hosted, Linux] + flags: "" + runs-on: ${{ matrix.runner_label }} + steps: + - name: Test Workflows + uses: comfy-org/comfy-action@main + with: + os: ${{ matrix.os }} + python_version: ${{ matrix.python_version }} + torch_version: ${{ matrix.torch_version }} + google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }} + comfyui_flags: ${{ matrix.flags }} diff --git a/.github/workflows/test-execution.yml b/.github/workflows/test-execution.yml new file mode 100644 index 0000000000000000000000000000000000000000..00ef07ebf64a4df2b0140f8135f2b22988d12e07 --- /dev/null +++ b/.github/workflows/test-execution.yml @@ -0,0 +1,30 @@ +name: Execution Tests + +on: + push: + branches: [ main, master ] + pull_request: + branches: [ main, master ] + +jobs: + test: + strategy: + matrix: + os: [ubuntu-latest, windows-latest, macos-latest] + runs-on: ${{ matrix.os }} + continue-on-error: true + steps: + - uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.12' + - name: Install requirements + run: | + python -m pip install --upgrade pip + pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu + pip install -r requirements.txt + pip install -r tests-unit/requirements.txt + - name: Run Execution Tests + run: | + python -m pytest tests/execution -v --skip-timing-checks diff --git a/.github/workflows/test-launch.yml b/.github/workflows/test-launch.yml new file mode 100644 index 0000000000000000000000000000000000000000..1735fd83b69ec5b60dd28ad30cd5f96e97b65e85 --- /dev/null +++ b/.github/workflows/test-launch.yml @@ -0,0 +1,45 @@ +name: Test server launches without errors + +on: + push: + branches: [ main, master ] + pull_request: + branches: [ main, master ] + +jobs: + test: + runs-on: ubuntu-latest + steps: + - name: Checkout ComfyUI + uses: actions/checkout@v4 + with: + repository: "comfyanonymous/ComfyUI" + path: "ComfyUI" + - uses: actions/setup-python@v4 + with: + python-version: '3.10' + - name: Install requirements + run: | + python -m pip install --upgrade pip + pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu + pip install -r requirements.txt + pip install wait-for-it + working-directory: ComfyUI + - name: Start ComfyUI server + run: | + python main.py --cpu 2>&1 | tee console_output.log & + wait-for-it --service 127.0.0.1:8188 -t 30 + working-directory: ComfyUI + - name: Check for unhandled exceptions in server log + run: | + if grep -qE "Exception|Error" console_output.log; then + echo "Unhandled exception/error found in server log." + exit 1 + fi + working-directory: ComfyUI + - uses: actions/upload-artifact@v4 + if: always() + with: + name: console-output + path: ComfyUI/console_output.log + retention-days: 30 diff --git a/.github/workflows/test-unit.yml b/.github/workflows/test-unit.yml new file mode 100644 index 0000000000000000000000000000000000000000..78c91803147d238eefede4409fa0b372ddd13fe9 --- /dev/null +++ b/.github/workflows/test-unit.yml @@ -0,0 +1,30 @@ +name: Unit Tests + +on: + push: + branches: [ main, master ] + pull_request: + branches: [ main, master ] + +jobs: + test: + strategy: + matrix: + os: [ubuntu-latest, windows-latest, macos-latest] + runs-on: ${{ matrix.os }} + continue-on-error: true + steps: + - uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.12' + - name: Install requirements + run: | + python -m pip install --upgrade pip + pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu + pip install -r requirements.txt + - name: Run Unit Tests + run: | + pip install -r tests-unit/requirements.txt + python -m pytest tests-unit diff --git a/.github/workflows/update-api-stubs.yml b/.github/workflows/update-api-stubs.yml new file mode 100644 index 0000000000000000000000000000000000000000..c99ec9fc1acf5ec0c1e922050be4e7930e7d1615 --- /dev/null +++ b/.github/workflows/update-api-stubs.yml @@ -0,0 +1,56 @@ +name: Generate Pydantic Stubs from api.comfy.org + +on: + schedule: + - cron: '0 0 * * 1' + workflow_dispatch: + +jobs: + generate-models: + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.10' + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install 'datamodel-code-generator[http]' + npm install @redocly/cli + + - name: Download OpenAPI spec + run: | + curl -o openapi.yaml https://api.comfy.org/openapi + + - name: Filter OpenAPI spec with Redocly + run: | + npx @redocly/cli bundle openapi.yaml --output filtered-openapi.yaml --config comfy_api_nodes/redocly.yaml --remove-unused-components + + - name: Generate API models + run: | + datamodel-codegen --use-subclass-enum --input filtered-openapi.yaml --output comfy_api_nodes/apis --output-model-type pydantic_v2.BaseModel + + - name: Check for changes + id: git-check + run: | + git diff --exit-code comfy_api_nodes/apis || echo "changes=true" >> $GITHUB_OUTPUT + + - name: Create Pull Request + if: steps.git-check.outputs.changes == 'true' + uses: peter-evans/create-pull-request@v5 + with: + commit-message: 'chore: update API models from OpenAPI spec' + title: 'Update API models from api.comfy.org' + body: | + This PR updates the API models based on the latest api.comfy.org OpenAPI specification. + + Generated automatically by the a Github workflow. + branch: update-api-stubs + delete-branch: true + base: master diff --git a/.github/workflows/update-version.yml b/.github/workflows/update-version.yml new file mode 100644 index 0000000000000000000000000000000000000000..d9d4889749ecb4dacf1742102210cd2d66ee12f9 --- /dev/null +++ b/.github/workflows/update-version.yml @@ -0,0 +1,58 @@ +name: Update Version File + +on: + pull_request: + paths: + - "pyproject.toml" + branches: + - master + +jobs: + update-version: + runs-on: ubuntu-latest + # Don't run on fork PRs + if: github.event.pull_request.head.repo.full_name == github.repository + permissions: + pull-requests: write + contents: write + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.11" + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + + - name: Update comfyui_version.py + run: | + # Read version from pyproject.toml and update comfyui_version.py + python -c ' + import tomllib + + # Read version from pyproject.toml + with open("pyproject.toml", "rb") as f: + config = tomllib.load(f) + version = config["project"]["version"] + + # Write version to comfyui_version.py + with open("comfyui_version.py", "w") as f: + f.write("# This file is automatically generated by the build process when version is\n") + f.write("# updated in pyproject.toml.\n") + f.write(f"__version__ = \"{version}\"\n") + ' + + - name: Commit changes + run: | + git config --local user.name "github-actions" + git config --local user.email "github-actions@github.com" + git fetch origin ${{ github.head_ref }} + git checkout -B ${{ github.head_ref }} origin/${{ github.head_ref }} + git add comfyui_version.py + git diff --quiet && git diff --staged --quiet || git commit -m "chore: Update comfyui_version.py to match pyproject.toml" + git push origin HEAD:${{ github.head_ref }} diff --git a/.github/workflows/windows_release_dependencies.yml b/.github/workflows/windows_release_dependencies.yml new file mode 100644 index 0000000000000000000000000000000000000000..7761cc1ed0ff015d6ecb99e0321634ff9c6aff1e --- /dev/null +++ b/.github/workflows/windows_release_dependencies.yml @@ -0,0 +1,71 @@ +name: "Windows Release dependencies" + +on: + workflow_dispatch: + inputs: + xformers: + description: 'xformers version' + required: false + type: string + default: "" + extra_dependencies: + description: 'extra dependencies' + required: false + type: string + default: "" + cu: + description: 'cuda version' + required: true + type: string + default: "129" + + python_minor: + description: 'python minor version' + required: true + type: string + default: "13" + + python_patch: + description: 'python patch version' + required: true + type: string + default: "6" +# push: +# branches: +# - master + +jobs: + build_dependencies: + runs-on: windows-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: 3.${{ inputs.python_minor }}.${{ inputs.python_patch }} + + - shell: bash + run: | + echo "@echo off + call update_comfyui.bat nopause + echo - + echo This will try to update pytorch and all python dependencies. + echo - + echo If you just want to update normally, close this and run update_comfyui.bat instead. + echo - + pause + ..\python_embeded\python.exe -s -m pip install --upgrade torch torchvision torchaudio ${{ inputs.xformers }} --extra-index-url https://download.pytorch.org/whl/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2 + pause" > update_comfyui_and_python_dependencies.bat + + python -m pip wheel --no-cache-dir torch torchvision torchaudio ${{ inputs.xformers }} ${{ inputs.extra_dependencies }} --extra-index-url https://download.pytorch.org/whl/cu${{ inputs.cu }} -r requirements.txt pygit2 -w ./temp_wheel_dir + python -m pip install --no-cache-dir ./temp_wheel_dir/* + echo installed basic + ls -lah temp_wheel_dir + mv temp_wheel_dir cu${{ inputs.cu }}_python_deps + tar cf cu${{ inputs.cu }}_python_deps.tar cu${{ inputs.cu }}_python_deps + + - uses: actions/cache/save@v4 + with: + path: | + cu${{ inputs.cu }}_python_deps.tar + update_comfyui_and_python_dependencies.bat + key: ${{ runner.os }}-build-cu${{ inputs.cu }}-${{ inputs.python_minor }} diff --git a/.github/workflows/windows_release_nightly_pytorch.yml b/.github/workflows/windows_release_nightly_pytorch.yml new file mode 100644 index 0000000000000000000000000000000000000000..5bdc940de2d58fb1c75fb9585c238abf5d2c55fb --- /dev/null +++ b/.github/workflows/windows_release_nightly_pytorch.yml @@ -0,0 +1,93 @@ +name: "Windows Release Nightly pytorch" + +on: + workflow_dispatch: + inputs: + cu: + description: 'cuda version' + required: true + type: string + default: "129" + + python_minor: + description: 'python minor version' + required: true + type: string + default: "13" + + python_patch: + description: 'python patch version' + required: true + type: string + default: "5" +# push: +# branches: +# - master + +jobs: + build: + permissions: + contents: "write" + packages: "write" + pull-requests: "read" + runs-on: windows-latest + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 30 + persist-credentials: false + - uses: actions/setup-python@v5 + with: + python-version: 3.${{ inputs.python_minor }}.${{ inputs.python_patch }} + - shell: bash + run: | + cd .. + cp -r ComfyUI ComfyUI_copy + curl https://www.python.org/ftp/python/3.${{ inputs.python_minor }}.${{ inputs.python_patch }}/python-3.${{ inputs.python_minor }}.${{ inputs.python_patch }}-embed-amd64.zip -o python_embeded.zip + unzip python_embeded.zip -d python_embeded + cd python_embeded + echo 'import site' >> ./python3${{ inputs.python_minor }}._pth + curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py + ./python.exe get-pip.py + python -m pip wheel torch torchvision torchaudio --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2 -w ../temp_wheel_dir + ls ../temp_wheel_dir + ./python.exe -s -m pip install --pre ../temp_wheel_dir/* + sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth + + rm ./Lib/site-packages/torch/lib/dnnl.lib #I don't think this is actually used and I need the space + cd .. + + git clone --depth 1 https://github.com/comfyanonymous/taesd + cp taesd/*.safetensors ./ComfyUI_copy/models/vae_approx/ + + mkdir ComfyUI_windows_portable_nightly_pytorch + mv python_embeded ComfyUI_windows_portable_nightly_pytorch + mv ComfyUI_copy ComfyUI_windows_portable_nightly_pytorch/ComfyUI + + cd ComfyUI_windows_portable_nightly_pytorch + + mkdir update + cp -r ComfyUI/.ci/update_windows/* ./update/ + cp -r ComfyUI/.ci/windows_base_files/* ./ + cp -r ComfyUI/.ci/windows_nightly_base_files/* ./ + + echo "call update_comfyui.bat nopause + ..\python_embeded\python.exe -s -m pip install --upgrade --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2 + pause" > ./update/update_comfyui_and_python_dependencies.bat + cd .. + + "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=9 -mfb=128 -md=512m -ms=on -mf=BCJ2 ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI_windows_portable_nightly_pytorch + mv ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI/ComfyUI_windows_portable_nvidia_or_cpu_nightly_pytorch.7z + + cd ComfyUI_windows_portable_nightly_pytorch + python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu + + ls + + - name: Upload binaries to release + uses: svenstaro/upload-release-action@v2 + with: + repo_token: ${{ secrets.GITHUB_TOKEN }} + file: ComfyUI_windows_portable_nvidia_or_cpu_nightly_pytorch.7z + tag: "latest" + overwrite: true diff --git a/.github/workflows/windows_release_package.yml b/.github/workflows/windows_release_package.yml new file mode 100644 index 0000000000000000000000000000000000000000..46375698e583d5c2dfdd79a72184f34a17b80f0f --- /dev/null +++ b/.github/workflows/windows_release_package.yml @@ -0,0 +1,106 @@ +name: "Windows Release packaging" + +on: + workflow_dispatch: + inputs: + cu: + description: 'cuda version' + required: true + type: string + default: "129" + + python_minor: + description: 'python minor version' + required: true + type: string + default: "13" + + python_patch: + description: 'python patch version' + required: true + type: string + default: "6" +# push: +# branches: +# - master + +jobs: + package_comfyui: + permissions: + contents: "write" + packages: "write" + pull-requests: "read" + runs-on: windows-latest + steps: + - uses: actions/cache/restore@v4 + id: cache + with: + path: | + cu${{ inputs.cu }}_python_deps.tar + update_comfyui_and_python_dependencies.bat + key: ${{ runner.os }}-build-cu${{ inputs.cu }}-${{ inputs.python_minor }} + - shell: bash + run: | + mv cu${{ inputs.cu }}_python_deps.tar ../ + mv update_comfyui_and_python_dependencies.bat ../ + cd .. + tar xf cu${{ inputs.cu }}_python_deps.tar + pwd + ls + + - uses: actions/checkout@v4 + with: + fetch-depth: 150 + persist-credentials: false + - shell: bash + run: | + cd .. + cp -r ComfyUI ComfyUI_copy + curl https://www.python.org/ftp/python/3.${{ inputs.python_minor }}.${{ inputs.python_patch }}/python-3.${{ inputs.python_minor }}.${{ inputs.python_patch }}-embed-amd64.zip -o python_embeded.zip + unzip python_embeded.zip -d python_embeded + cd python_embeded + echo 'import site' >> ./python3${{ inputs.python_minor }}._pth + curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py + ./python.exe get-pip.py + ./python.exe -s -m pip install ../cu${{ inputs.cu }}_python_deps/* + sed -i '1i../ComfyUI' ./python3${{ inputs.python_minor }}._pth + + rm ./Lib/site-packages/torch/lib/dnnl.lib #I don't think this is actually used and I need the space + rm ./Lib/site-packages/torch/lib/libprotoc.lib + rm ./Lib/site-packages/torch/lib/libprotobuf.lib + cd .. + + git clone --depth 1 https://github.com/comfyanonymous/taesd + cp taesd/*.safetensors ./ComfyUI_copy/models/vae_approx/ + + mkdir ComfyUI_windows_portable + mv python_embeded ComfyUI_windows_portable + mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI + + cd ComfyUI_windows_portable + + mkdir update + cp -r ComfyUI/.ci/update_windows/* ./update/ + cp -r ComfyUI/.ci/windows_base_files/* ./ + cp ../update_comfyui_and_python_dependencies.bat ./update/ + + cd .. + + "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma2 -mx=9 -mfb=128 -md=768m -ms=on -mf=BCJ2 ComfyUI_windows_portable.7z ComfyUI_windows_portable + mv ComfyUI_windows_portable.7z ComfyUI/new_ComfyUI_windows_portable_nvidia_cu${{ inputs.cu }}_or_cpu.7z + + cd ComfyUI_windows_portable + python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu + + python_embeded/python.exe -s ./update/update.py ComfyUI/ + + ls + + - name: Upload binaries to release + uses: svenstaro/upload-release-action@v2 + with: + repo_token: ${{ secrets.GITHUB_TOKEN }} + file: new_ComfyUI_windows_portable_nvidia_cu${{ inputs.cu }}_or_cpu.7z + tag: "latest" + overwrite: true + diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..4e8cea71e55139979744378e9918065955bcd7ea --- /dev/null +++ b/.gitignore @@ -0,0 +1,26 @@ +__pycache__/ +*.py[cod] +/output/ +/input/ +!/input/example.png +/models/ +/temp/ +/custom_nodes/ +!custom_nodes/example_node.py.example +extra_model_paths.yaml +/.vs +.vscode/ +.idea/ +venv/ +.venv/ +/web/extensions/* +!/web/extensions/logging.js.example +!/web/extensions/core/ +/tests-ui/data/object_info.json +/user/ +*.log +web_custom_versions/ +.DS_Store +openapi.yaml +filtered-openapi.yaml +uv.lock diff --git a/20250929213116_OPTIM-FAIL_app.py b/20250929213116_OPTIM-FAIL_app.py new file mode 100644 index 0000000000000000000000000000000000000000..cb09a611e51cce3148b4792683378e28e9e6749f --- /dev/null +++ b/20250929213116_OPTIM-FAIL_app.py @@ -0,0 +1,270 @@ +import os +import random +import sys +from typing import Sequence, Mapping, Any, Union +import torch +from PIL import Image +from huggingface_hub import hf_hub_download +import spaces + +import subprocess, sys + +# --------------------------------------------------------------------------------- +# 🛠️ Monkey-patch для gradio_client: игнорируем булевы схемы и не падаем на TypeError +# --------------------------------------------------------------------------------- +import gradio_client.utils as _gc_utils + +# Сохраняем оригинальные функции +_orig_js2pt = _gc_utils._json_schema_to_python_type +_orig_get_type = _gc_utils.get_type + +def _safe_json_schema_to_python_type(schema, defs=None): + """ + Если schema — bool (True/False), возвращаем 'Any', + иначе — вызываем оригинальный код. + """ + if isinstance(schema, bool): + return "Any" + return _orig_js2pt(schema, defs) + +def _safe_get_type(schema): + """ + Если schema — bool, возвращаем 'Any', + иначе — вызываем оригинальную функцию get_type. + """ + if isinstance(schema, bool): + return "Any" + return _orig_get_type(schema) + +# Заменяем в модуле +_gc_utils._json_schema_to_python_type = _safe_json_schema_to_python_type +_gc_utils.get_type = _safe_get_type +# --------------------------------------------------------------------------------- + +# Дальше уже можно безопасно импортировать Gradio + +import gradio +import gradio_client +import gradio as gr + +print("gradio version:", gradio.__version__) +print("gradio_client version:", gradio_client.__version__) + +hf_hub_download(repo_id="ezioruan/inswapper_128.onnx", filename="inswapper_128.onnx", local_dir="models/insightface") +hf_hub_download(repo_id="martintomov/comfy", filename="facerestore_models/GPEN-BFR-512.onnx", local_dir="models") + +hf_hub_download(repo_id="facefusion/models-3.3.0", filename="hyperswap_1a_256.onnx", local_dir="models/hyperswap") +hf_hub_download(repo_id="facefusion/models-3.3.0", filename="hyperswap_1b_256.onnx", local_dir="models/hyperswap") +hf_hub_download(repo_id="facefusion/models-3.3.0", filename="hyperswap_1c_256.onnx", local_dir="models/hyperswap") + +hf_hub_download(repo_id="martintomov/comfy", filename="facedetection/yolov5l-face.pth", local_dir="models") +###hf_hub_download(repo_id="darkeril/collection", filename="detection_Resnet50_Final.pth", local_dir="models/facedetection") +hf_hub_download(repo_id="gmk123/GFPGAN", filename="parsing_parsenet.pth", local_dir="models/facedetection") + +hf_hub_download(repo_id="MonsterMMORPG/tools", filename="1k3d68.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="MonsterMMORPG/tools", filename="2d106det.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="maze/faceX", filename="det_10g.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="typhoon01/aux_models", filename="genderage.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="maze/faceX", filename="w600k_r50.onnx", local_dir="models/insightface/models/buffalo_l") + +hf_hub_download(repo_id="vladmandic/insightface-faceanalysis", filename="buffalo_l.zip", local_dir="models/insightface/models/buffalo_l") + + +def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any: + """Returns the value at the given index of a sequence or mapping. + + If the object is a sequence (like list or string), returns the value at the given index. + If the object is a mapping (like a dictionary), returns the value at the index-th key. + + Some return a dictionary, in these cases, we look for the "results" key + + Args: + obj (Union[Sequence, Mapping]): The object to retrieve the value from. + index (int): The index of the value to retrieve. + + Returns: + Any: The value at the given index. + + Raises: + IndexError: If the index is out of bounds for the object and the object is not a mapping. + """ + try: + return obj[index] + except KeyError: + return obj["result"][index] + + +def find_path(name: str, path: str = None) -> str: + """ + Recursively looks at parent folders starting from the given path until it finds the given name. + Returns the path as a Path object if found, or None otherwise. + """ + # If no path is given, use the current working directory + if path is None: + path = os.getcwd() + + # Check if the current directory contains the name + if name in os.listdir(path): + path_name = os.path.join(path, name) + print(f"{name} found: {path_name}") + return path_name + + # Get the parent directory + parent_directory = os.path.dirname(path) + + # If the parent directory is the same as the current directory, we've reached the root and stop the search + if parent_directory == path: + return None + + # Recursively call the function with the parent directory + return find_path(name, parent_directory) + + +def add_comfyui_directory_to_sys_path() -> None: + """ + Add 'ComfyUI' to the sys.path + """ + comfyui_path = find_path("ComfyUI") + if comfyui_path is not None and os.path.isdir(comfyui_path): + sys.path.append(comfyui_path) + print(f"'{comfyui_path}' added to sys.path") + + +def add_extra_model_paths() -> None: + """ + Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path. + """ + try: + from main import load_extra_path_config + except ImportError: + print( + "Could not import load_extra_path_config from main.py. Looking in utils.extra_config instead." + ) + from utils.extra_config import load_extra_path_config + + extra_model_paths = find_path("extra_model_paths.yaml") + + if extra_model_paths is not None: + load_extra_path_config(extra_model_paths) + else: + print("Could not find the extra_model_paths config file.") + + +add_comfyui_directory_to_sys_path() +add_extra_model_paths() + + +def import_custom_nodes() -> None: + """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS + + This function sets up a new asyncio event loop, initializes the PromptServer, + creates a PromptQueue, and initializes the custom nodes. + """ + import asyncio + import execution + from nodes import init_extra_nodes + import server + + # Creating a new event loop and setting it as the default loop + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + # Creating an instance of PromptServer with the loop + server_instance = server.PromptServer(loop) + execution.PromptQueue(server_instance) + + # Initializing custom nodes + # Запускаем корутину и ждём её завершения + loop.run_until_complete(init_extra_nodes()) + +import_custom_nodes() +from nodes import NODE_CLASS_MAPPINGS + +# --- Глобальная загрузка моделей (один раз при старте) --- +loadimage = NODE_CLASS_MAPPINGS["LoadImage"]() +reactorfaceswap = NODE_CLASS_MAPPINGS["ReActorFaceSwap"]() +saveimage = NODE_CLASS_MAPPINGS["SaveImage"]() + +@spaces.GPU(duration=20) +def generate_image(source_image, target_image, target_index, swap_model, face_restore_model, restore_strength): + with torch.inference_mode(): + loadimage_2 = loadimage.load_image(image=source_image) + loadimage_3 = loadimage.load_image(image=target_image) + + reactorfaceswap_76 = reactorfaceswap.execute( + enabled=True, + swap_model=swap_model, # Используем выбранную модель + facedetection="YOLOv5l", + face_restore_model=face_restore_model, + face_restore_visibility=restore_strength, + codeformer_weight=0.5, + detect_gender_input="no", + detect_gender_source="no", + input_faces_index=str(target_index), # Преобразуем в строку + source_faces_index="0", + console_log_level=1, + input_image=get_value_at_index(loadimage_3, 0), + source_image=get_value_at_index(loadimage_2, 0), + ) + + saveimage_77 = saveimage.save_images( + filename_prefix="ComfyUI", + images=get_value_at_index(reactorfaceswap_76, 0), + ) + + saved_path = f"output/{saveimage_77['ui']['images'][0]['filename']}" + return saved_path + +if __name__ == "__main__": + with gr.Blocks() as app: + # Заголовок + gr.Markdown("# ComfyUI Reactor Fast Face Swap Hyperswap") + + with gr.Row(): + with gr.Column(): + # Вложенный Row для групп + with gr.Row(): + # Первая группа + with gr.Group(): + source_image = gr.Image(label="Source Image (Face)", type="filepath") + swap_model = gr.Dropdown( + choices=["inswapper_128.onnx", "hyperswap_1a_256.onnx", "hyperswap_1b_256.onnx", "hyperswap_1c_256.onnx"], + value="hyperswap_1b_256.onnx", + label="Swap Model" + ) + face_restore_model = gr.Dropdown(choices=["none", "GPEN-BFR-512.onnx"], value="none", label="Face Restore Model") + restore_strength = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Face Restore Strength") + + # Вторая группа (обратите внимание — она должна быть на том же уровне, что и первая) + with gr.Group(): + target_image = gr.Image(label="Target Image (Body)", type="filepath") + # restore_strength = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Face Restore Strength") + target_index = gr.Dropdown(choices=[0, 1, 2, 3, 4], value=0, label="Target Face Index") + gr.Markdown("Index_0 = Largest Face. To switch for another target face - switch to Index_1, Index_2, e.t.c") + + # Кнопка генерации + generate_btn = gr.Button("Generate") + gr.Markdown( + "***Hyperswap_1b_256.onnx is the best (in most cases) - but sometimes model produce FAIL swap (do not do any swapping). It's known inner bug." + ) + gr.Markdown( + "***Hyperswap models do not need Face Restorer - use it with None. Inswapper_128 need Face Restorer - use it with GPEN-BFR-512 at strenght 0.7-0.8." + ) + gr.Markdown( + "***ComfyUI Reactor Fast Face Swap Hyperswap running directly on Gradio. - " + "[How to convert your any ComfyUI workflow to Gradio]" + "(https://huggingface.co/blog/run-comfyui-workflows-on-spaces)" + ) + + with gr.Column(): + # Вывод изображения + output_image = gr.Image(label="Generated Image") + + # Связываем клик кнопки с функцией + generate_btn.click( + fn=generate_image, + inputs=[source_image, target_image, target_index, swap_model, face_restore_model, restore_strength], + outputs=[output_image] + ) + + app.launch(share=True) diff --git a/CODEOWNERS b/CODEOWNERS new file mode 100644 index 0000000000000000000000000000000000000000..c8acd66d5e3eef1884cadcaf9db0e510a472ed5c --- /dev/null +++ b/CODEOWNERS @@ -0,0 +1,25 @@ +# Admins +* @comfyanonymous + +# Note: Github teams syntax cannot be used here as the repo is not owned by Comfy-Org. +# Inlined the team members for now. + +# Maintainers +*.md @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/tests/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/tests-unit/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/notebooks/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/script_examples/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/.github/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/requirements.txt @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill +/pyproject.toml @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @Kosinkadink @christian-byrne @guill + +# Python web server +/api_server/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @christian-byrne @guill +/app/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @christian-byrne @guill +/utils/ @yoland68 @robinjhuang @webfiltered @pythongosssss @ltdrdata @christian-byrne @guill + +# Node developers +/comfy_extras/ @yoland68 @robinjhuang @pythongosssss @ltdrdata @Kosinkadink @webfiltered @christian-byrne @guill +/comfy/comfy_types/ @yoland68 @robinjhuang @pythongosssss @ltdrdata @Kosinkadink @webfiltered @christian-byrne @guill +/comfy_api_nodes/ @yoland68 @robinjhuang @pythongosssss @ltdrdata @Kosinkadink @webfiltered @christian-byrne @guill diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000000000000000000000000000000000000..048f127e72ddc351451a9612d4c715f603393a84 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,41 @@ +# Contributing to ComfyUI + +Welcome, and thank you for your interest in contributing to ComfyUI! + +There are several ways in which you can contribute, beyond writing code. The goal of this document is to provide a high-level overview of how you can get involved. + +## Asking Questions + +Have a question? Instead of opening an issue, please ask on [Discord](https://comfy.org/discord) or [Matrix](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) channels. Our team and the community will help you. + +## Providing Feedback + +Your comments and feedback are welcome, and the development team is available via a handful of different channels. + +See the `#bug-report`, `#feature-request` and `#feedback` channels on Discord. + +## Reporting Issues + +Have you identified a reproducible problem in ComfyUI? Do you have a feature request? We want to hear about it! Here's how you can report your issue as effectively as possible. + + +### Look For an Existing Issue + +Before you create a new issue, please do a search in [open issues](https://github.com/comfyanonymous/ComfyUI/issues) to see if the issue or feature request has already been filed. + +If you find your issue already exists, make relevant comments and add your [reaction](https://github.com/blog/2119-add-reactions-to-pull-requests-issues-and-comments). Use a reaction in place of a "+1" comment: + +* 👍 - upvote +* 👎 - downvote + +If you cannot find an existing issue that describes your bug or feature, create a new issue. We have an issue template in place to organize new issues. + + +### Creating Pull Requests + +* Please refer to the article on [creating pull requests](https://github.com/comfyanonymous/ComfyUI/wiki/How-to-Contribute-Code) and contributing to this project. + + +## Thank You + +Your contributions to open source, large or small, make great projects like this possible. Thank you for taking the time to contribute. diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. By contrast, +the GNU General Public License is intended to guarantee your freedom to +share and change all versions of a program--to make sure it remains free +software for all its users. We, the Free Software Foundation, use the +GNU General Public License for most of our software; it applies also to +any other work released this way by its authors. You can apply it to +your programs, too. + + When we speak of free software, we are referring to freedom, not +price. Our General Public Licenses are designed to make sure that you +have the freedom to distribute copies of free software (and charge for +them if you wish), that you receive source code or can get it if you +want it, that you can change the software or use pieces of it in new +free programs, and that you know you can do these things. + + To protect your rights, we need to prevent others from denying you +these rights or asking you to surrender the rights. Therefore, you have +certain responsibilities if you distribute copies of the software, or if +you modify it: responsibilities to respect the freedom of others. + + For example, if you distribute copies of such a program, whether +gratis or for a fee, you must pass on to the recipients the same +freedoms that you received. You must make sure that they, too, receive +or can get the source code. And you must show them these terms so they +know their rights. + + Developers that use the GNU GPL protect your rights with two steps: +(1) assert copyright on the software, and (2) offer you this License +giving you legal permission to copy, distribute and/or modify it. + + For the developers' and authors' protection, the GPL clearly explains +that there is no warranty for this free software. For both users' and +authors' sake, the GPL requires that modified versions be marked as +changed, so that their problems will not be attributed erroneously to +authors of previous versions. + + Some devices are designed to deny users access to install or run +modified versions of the software inside them, although the manufacturer +can do so. This is fundamentally incompatible with the aim of +protecting users' freedom to change the software. The systematic +pattern of such abuse occurs in the area of products for individuals to +use, which is precisely where it is most unacceptable. Therefore, we +have designed this version of the GPL to prohibit the practice for those +products. If such problems arise substantially in other domains, we +stand ready to extend this provision to those domains in future versions +of the GPL, as needed to protect the freedom of users. + + Finally, every program is threatened constantly by software patents. +States should not allow patents to restrict development and use of +software on general-purpose computers, but in those that do, we wish to +avoid the special danger that patents applied to a free program could +make it effectively proprietary. To prevent this, the GPL assures that +patents cannot be used to render the program non-free. + + The precise terms and conditions for copying, distribution and +modification follow. + + TERMS AND CONDITIONS + + 0. Definitions. + + "This License" refers to version 3 of the GNU General Public License. + + "Copyright" also means copyright-like laws that apply to other kinds of +works, such as semiconductor masks. + + "The Program" refers to any copyrightable work licensed under this +License. Each licensee is addressed as "you". "Licensees" and +"recipients" may be individuals or organizations. + + To "modify" a work means to copy from or adapt all or part of the work +in a fashion requiring copyright permission, other than the making of an +exact copy. The resulting work is called a "modified version" of the +earlier work or a work "based on" the earlier work. + + A "covered work" means either the unmodified Program or a work based +on the Program. + + To "propagate" a work means to do anything with it that, without +permission, would make you directly or secondarily liable for +infringement under applicable copyright law, except executing it on a +computer or modifying a private copy. Propagation includes copying, +distribution (with or without modification), making available to the +public, and in some countries other activities as well. + + To "convey" a work means any kind of propagation that enables other +parties to make or receive copies. Mere interaction with a user through +a computer network, with no transfer of a copy, is not conveying. + + An interactive user interface displays "Appropriate Legal Notices" +to the extent that it includes a convenient and prominently visible +feature that (1) displays an appropriate copyright notice, and (2) +tells the user that there is no warranty for the work (except to the +extent that warranties are provided), that licensees may convey the +work under this License, and how to view a copy of this License. If +the interface presents a list of user commands or options, such as a +menu, a prominent item in the list meets this criterion. + + 1. Source Code. + + The "source code" for a work means the preferred form of the work +for making modifications to it. "Object code" means any non-source +form of a work. + + A "Standard Interface" means an interface that either is an official +standard defined by a recognized standards body, or, in the case of +interfaces specified for a particular programming language, one that +is widely used among developers working in that language. + + The "System Libraries" of an executable work include anything, other +than the work as a whole, that (a) is included in the normal form of +packaging a Major Component, but which is not part of that Major +Component, and (b) serves only to enable use of the work with that +Major Component, or to implement a Standard Interface for which an +implementation is available to the public in source code form. A +"Major Component", in this context, means a major essential component +(kernel, window system, and so on) of the specific operating system +(if any) on which the executable work runs, or a compiler used to +produce the work, or an object code interpreter used to run it. + + The "Corresponding Source" for a work in object code form means all +the source code needed to generate, install, and (for an executable +work) run the object code and to modify the work, including scripts to +control those activities. However, it does not include the work's +System Libraries, or general-purpose tools or generally available free +programs which are used unmodified in performing those activities but +which are not part of the work. For example, Corresponding Source +includes interface definition files associated with source files for +the work, and the source code for shared libraries and dynamically +linked subprograms that the work is specifically designed to require, +such as by intimate data communication or control flow between those +subprograms and other parts of the work. + + The Corresponding Source need not include anything that users +can regenerate automatically from other parts of the Corresponding +Source. + + The Corresponding Source for a work in source code form is that +same work. + + 2. Basic Permissions. + + All rights granted under this License are granted for the term of +copyright on the Program, and are irrevocable provided the stated +conditions are met. This License explicitly affirms your unlimited +permission to run the unmodified Program. The output from running a +covered work is covered by this License only if the output, given its +content, constitutes a covered work. This License acknowledges your +rights of fair use or other equivalent, as provided by copyright law. + + You may make, run and propagate covered works that you do not +convey, without conditions so long as your license otherwise remains +in force. You may convey covered works to others for the sole purpose +of having them make modifications exclusively for you, or provide you +with facilities for running those works, provided that you comply with +the terms of this License in conveying all material for which you do +not control copyright. Those thus making or running the covered works +for you must do so exclusively on your behalf, under your direction +and control, on terms that prohibit them from making any copies of +your copyrighted material outside their relationship with you. + + Conveying under any other circumstances is permitted solely under +the conditions stated below. Sublicensing is not allowed; section 10 +makes it unnecessary. + + 3. Protecting Users' Legal Rights From Anti-Circumvention Law. + + No covered work shall be deemed part of an effective technological +measure under any applicable law fulfilling obligations under article +11 of the WIPO copyright treaty adopted on 20 December 1996, or +similar laws prohibiting or restricting circumvention of such +measures. + + When you convey a covered work, you waive any legal power to forbid +circumvention of technological measures to the extent such circumvention +is effected by exercising rights under this License with respect to +the covered work, and you disclaim any intention to limit operation or +modification of the work as a means of enforcing, against the work's +users, your or third parties' legal rights to forbid circumvention of +technological measures. + + 4. Conveying Verbatim Copies. + + You may convey verbatim copies of the Program's source code as you +receive it, in any medium, provided that you conspicuously and +appropriately publish on each copy an appropriate copyright notice; +keep intact all notices stating that this License and any +non-permissive terms added in accord with section 7 apply to the code; +keep intact all notices of the absence of any warranty; and give all +recipients a copy of this License along with the Program. + + You may charge any price or no price for each copy that you convey, +and you may offer support or warranty protection for a fee. + + 5. Conveying Modified Source Versions. + + You may convey a work based on the Program, or the modifications to +produce it from the Program, in the form of source code under the +terms of section 4, provided that you also meet all of these conditions: + + a) The work must carry prominent notices stating that you modified + it, and giving a relevant date. + + b) The work must carry prominent notices stating that it is + released under this License and any conditions added under section + 7. This requirement modifies the requirement in section 4 to + "keep intact all notices". + + c) You must license the entire work, as a whole, under this + License to anyone who comes into possession of a copy. This + License will therefore apply, along with any applicable section 7 + additional terms, to the whole of the work, and all its parts, + regardless of how they are packaged. This License gives no + permission to license the work in any other way, but it does not + invalidate such permission if you have separately received it. + + d) If the work has interactive user interfaces, each must display + Appropriate Legal Notices; however, if the Program has interactive + interfaces that do not display Appropriate Legal Notices, your + work need not make them do so. + + A compilation of a covered work with other separate and independent +works, which are not by their nature extensions of the covered work, +and which are not combined with it such as to form a larger program, +in or on a volume of a storage or distribution medium, is called an +"aggregate" if the compilation and its resulting copyright are not +used to limit the access or legal rights of the compilation's users +beyond what the individual works permit. Inclusion of a covered work +in an aggregate does not cause this License to apply to the other +parts of the aggregate. + + 6. Conveying Non-Source Forms. + + You may convey a covered work in object code form under the terms +of sections 4 and 5, provided that you also convey the +machine-readable Corresponding Source under the terms of this License, +in one of these ways: + + a) Convey the object code in, or embodied in, a physical product + (including a physical distribution medium), accompanied by the + Corresponding Source fixed on a durable physical medium + customarily used for software interchange. + + b) Convey the object code in, or embodied in, a physical product + (including a physical distribution medium), accompanied by a + written offer, valid for at least three years and valid for as + long as you offer spare parts or customer support for that product + model, to give anyone who possesses the object code either (1) a + copy of the Corresponding Source for all the software in the + product that is covered by this License, on a durable physical + medium customarily used for software interchange, for a price no + more than your reasonable cost of physically performing this + conveying of source, or (2) access to copy the + Corresponding Source from a network server at no charge. + + c) Convey individual copies of the object code with a copy of the + written offer to provide the Corresponding Source. This + alternative is allowed only occasionally and noncommercially, and + only if you received the object code with such an offer, in accord + with subsection 6b. + + d) Convey the object code by offering access from a designated + place (gratis or for a charge), and offer equivalent access to the + Corresponding Source in the same way through the same place at no + further charge. You need not require recipients to copy the + Corresponding Source along with the object code. If the place to + copy the object code is a network server, the Corresponding Source + may be on a different server (operated by you or a third party) + that supports equivalent copying facilities, provided you maintain + clear directions next to the object code saying where to find the + Corresponding Source. Regardless of what server hosts the + Corresponding Source, you remain obligated to ensure that it is + available for as long as needed to satisfy these requirements. + + e) Convey the object code using peer-to-peer transmission, provided + you inform other peers where the object code and Corresponding + Source of the work are being offered to the general public at no + charge under subsection 6d. + + A separable portion of the object code, whose source code is excluded +from the Corresponding Source as a System Library, need not be +included in conveying the object code work. + + A "User Product" is either (1) a "consumer product", which means any +tangible personal property which is normally used for personal, family, +or household purposes, or (2) anything designed or sold for incorporation +into a dwelling. In determining whether a product is a consumer product, +doubtful cases shall be resolved in favor of coverage. For a particular +product received by a particular user, "normally used" refers to a +typical or common use of that class of product, regardless of the status +of the particular user or of the way in which the particular user +actually uses, or expects or is expected to use, the product. A product +is a consumer product regardless of whether the product has substantial +commercial, industrial or non-consumer uses, unless such uses represent +the only significant mode of use of the product. + + "Installation Information" for a User Product means any methods, +procedures, authorization keys, or other information required to install +and execute modified versions of a covered work in that User Product from +a modified version of its Corresponding Source. The information must +suffice to ensure that the continued functioning of the modified object +code is in no case prevented or interfered with solely because +modification has been made. + + If you convey an object code work under this section in, or with, or +specifically for use in, a User Product, and the conveying occurs as +part of a transaction in which the right of possession and use of the +User Product is transferred to the recipient in perpetuity or for a +fixed term (regardless of how the transaction is characterized), the +Corresponding Source conveyed under this section must be accompanied +by the Installation Information. But this requirement does not apply +if neither you nor any third party retains the ability to install +modified object code on the User Product (for example, the work has +been installed in ROM). + + The requirement to provide Installation Information does not include a +requirement to continue to provide support service, warranty, or updates +for a work that has been modified or installed by the recipient, or for +the User Product in which it has been modified or installed. Access to a +network may be denied when the modification itself materially and +adversely affects the operation of the network or violates the rules and +protocols for communication across the network. + + Corresponding Source conveyed, and Installation Information provided, +in accord with this section must be in a format that is publicly +documented (and with an implementation available to the public in +source code form), and must require no special password or key for +unpacking, reading or copying. + + 7. Additional Terms. + + "Additional permissions" are terms that supplement the terms of this +License by making exceptions from one or more of its conditions. +Additional permissions that are applicable to the entire Program shall +be treated as though they were included in this License, to the extent +that they are valid under applicable law. If additional permissions +apply only to part of the Program, that part may be used separately +under those permissions, but the entire Program remains governed by +this License without regard to the additional permissions. + + When you convey a copy of a covered work, you may at your option +remove any additional permissions from that copy, or from any part of +it. (Additional permissions may be written to require their own +removal in certain cases when you modify the work.) You may place +additional permissions on material, added by you to a covered work, +for which you have or can give appropriate copyright permission. + + Notwithstanding any other provision of this License, for material you +add to a covered work, you may (if authorized by the copyright holders of +that material) supplement the terms of this License with terms: + + a) Disclaiming warranty or limiting liability differently from the + terms of sections 15 and 16 of this License; or + + b) Requiring preservation of specified reasonable legal notices or + author attributions in that material or in the Appropriate Legal + Notices displayed by works containing it; or + + c) Prohibiting misrepresentation of the origin of that material, or + requiring that modified versions of such material be marked in + reasonable ways as different from the original version; or + + d) Limiting the use for publicity purposes of names of licensors or + authors of the material; or + + e) Declining to grant rights under trademark law for use of some + trade names, trademarks, or service marks; or + + f) Requiring indemnification of licensors and authors of that + material by anyone who conveys the material (or modified versions of + it) with contractual assumptions of liability to the recipient, for + any liability that these contractual assumptions directly impose on + those licensors and authors. + + All other non-permissive additional terms are considered "further +restrictions" within the meaning of section 10. If the Program as you +received it, or any part of it, contains a notice stating that it is +governed by this License along with a term that is a further +restriction, you may remove that term. If a license document contains +a further restriction but permits relicensing or conveying under this +License, you may add to a covered work material governed by the terms +of that license document, provided that the further restriction does +not survive such relicensing or conveying. + + If you add terms to a covered work in accord with this section, you +must place, in the relevant source files, a statement of the +additional terms that apply to those files, or a notice indicating +where to find the applicable terms. + + Additional terms, permissive or non-permissive, may be stated in the +form of a separately written license, or stated as exceptions; +the above requirements apply either way. + + 8. Termination. + + You may not propagate or modify a covered work except as expressly +provided under this License. Any attempt otherwise to propagate or +modify it is void, and will automatically terminate your rights under +this License (including any patent licenses granted under the third +paragraph of section 11). + + However, if you cease all violation of this License, then your +license from a particular copyright holder is reinstated (a) +provisionally, unless and until the copyright holder explicitly and +finally terminates your license, and (b) permanently, if the copyright +holder fails to notify you of the violation by some reasonable means +prior to 60 days after the cessation. + + Moreover, your license from a particular copyright holder is +reinstated permanently if the copyright holder notifies you of the +violation by some reasonable means, this is the first time you have +received notice of violation of this License (for any work) from that +copyright holder, and you cure the violation prior to 30 days after +your receipt of the notice. + + Termination of your rights under this section does not terminate the +licenses of parties who have received copies or rights from you under +this License. If your rights have been terminated and not permanently +reinstated, you do not qualify to receive new licenses for the same +material under section 10. + + 9. Acceptance Not Required for Having Copies. + + You are not required to accept this License in order to receive or +run a copy of the Program. Ancillary propagation of a covered work +occurring solely as a consequence of using peer-to-peer transmission +to receive a copy likewise does not require acceptance. However, +nothing other than this License grants you permission to propagate or +modify any covered work. These actions infringe copyright if you do +not accept this License. Therefore, by modifying or propagating a +covered work, you indicate your acceptance of this License to do so. + + 10. Automatic Licensing of Downstream Recipients. + + Each time you convey a covered work, the recipient automatically +receives a license from the original licensors, to run, modify and +propagate that work, subject to this License. You are not responsible +for enforcing compliance by third parties with this License. + + An "entity transaction" is a transaction transferring control of an +organization, or substantially all assets of one, or subdividing an +organization, or merging organizations. If propagation of a covered +work results from an entity transaction, each party to that +transaction who receives a copy of the work also receives whatever +licenses to the work the party's predecessor in interest had or could +give under the previous paragraph, plus a right to possession of the +Corresponding Source of the work from the predecessor in interest, if +the predecessor has it or can get it with reasonable efforts. + + You may not impose any further restrictions on the exercise of the +rights granted or affirmed under this License. For example, you may +not impose a license fee, royalty, or other charge for exercise of +rights granted under this License, and you may not initiate litigation +(including a cross-claim or counterclaim in a lawsuit) alleging that +any patent claim is infringed by making, using, selling, offering for +sale, or importing the Program or any portion of it. + + 11. Patents. + + A "contributor" is a copyright holder who authorizes use under this +License of the Program or a work on which the Program is based. The +work thus licensed is called the contributor's "contributor version". + + A contributor's "essential patent claims" are all patent claims +owned or controlled by the contributor, whether already acquired or +hereafter acquired, that would be infringed by some manner, permitted +by this License, of making, using, or selling its contributor version, +but do not include claims that would be infringed only as a +consequence of further modification of the contributor version. For +purposes of this definition, "control" includes the right to grant +patent sublicenses in a manner consistent with the requirements of +this License. + + Each contributor grants you a non-exclusive, worldwide, royalty-free +patent license under the contributor's essential patent claims, to +make, use, sell, offer for sale, import and otherwise run, modify and +propagate the contents of its contributor version. + + In the following three paragraphs, a "patent license" is any express +agreement or commitment, however denominated, not to enforce a patent +(such as an express permission to practice a patent or covenant not to +sue for patent infringement). To "grant" such a patent license to a +party means to make such an agreement or commitment not to enforce a +patent against the party. + + If you convey a covered work, knowingly relying on a patent license, +and the Corresponding Source of the work is not available for anyone +to copy, free of charge and under the terms of this License, through a +publicly available network server or other readily accessible means, +then you must either (1) cause the Corresponding Source to be so +available, or (2) arrange to deprive yourself of the benefit of the +patent license for this particular work, or (3) arrange, in a manner +consistent with the requirements of this License, to extend the patent +license to downstream recipients. "Knowingly relying" means you have +actual knowledge that, but for the patent license, your conveying the +covered work in a country, or your recipient's use of the covered work +in a country, would infringe one or more identifiable patents in that +country that you have reason to believe are valid. + + If, pursuant to or in connection with a single transaction or +arrangement, you convey, or propagate by procuring conveyance of, a +covered work, and grant a patent license to some of the parties +receiving the covered work authorizing them to use, propagate, modify +or convey a specific copy of the covered work, then the patent license +you grant is automatically extended to all recipients of the covered +work and works based on it. + + A patent license is "discriminatory" if it does not include within +the scope of its coverage, prohibits the exercise of, or is +conditioned on the non-exercise of one or more of the rights that are +specifically granted under this License. You may not convey a covered +work if you are a party to an arrangement with a third party that is +in the business of distributing software, under which you make payment +to the third party based on the extent of your activity of conveying +the work, and under which the third party grants, to any of the +parties who would receive the covered work from you, a discriminatory +patent license (a) in connection with copies of the covered work +conveyed by you (or copies made from those copies), or (b) primarily +for and in connection with specific products or compilations that +contain the covered work, unless you entered into that arrangement, +or that patent license was granted, prior to 28 March 2007. + + Nothing in this License shall be construed as excluding or limiting +any implied license or other defenses to infringement that may +otherwise be available to you under applicable patent law. + + 12. No Surrender of Others' Freedom. + + If conditions are imposed on you (whether by court order, agreement or +otherwise) that contradict the conditions of this License, they do not +excuse you from the conditions of this License. If you cannot convey a +covered work so as to satisfy simultaneously your obligations under this +License and any other pertinent obligations, then as a consequence you may +not convey it at all. For example, if you agree to terms that obligate you +to collect a royalty for further conveying from those to whom you convey +the Program, the only way you could satisfy both those terms and this +License would be to refrain entirely from conveying the Program. + + 13. Use with the GNU Affero General Public License. + + Notwithstanding any other provision of this License, you have +permission to link or combine any covered work with a work licensed +under version 3 of the GNU Affero General Public License into a single +combined work, and to convey the resulting work. The terms of this +License will continue to apply to the part which is the covered work, +but the special requirements of the GNU Affero General Public License, +section 13, concerning interaction through a network will apply to the +combination as such. + + 14. Revised Versions of this License. + + The Free Software Foundation may publish revised and/or new versions of +the GNU General Public License from time to time. Such new versions will +be similar in spirit to the present version, but may differ in detail to +address new problems or concerns. + + Each version is given a distinguishing version number. If the +Program specifies that a certain numbered version of the GNU General +Public License "or any later version" applies to it, you have the +option of following the terms and conditions either of that numbered +version or of any later version published by the Free Software +Foundation. If the Program does not specify a version number of the +GNU General Public License, you may choose any version ever published +by the Free Software Foundation. + + If the Program specifies that a proxy can decide which future +versions of the GNU General Public License can be used, that proxy's +public statement of acceptance of a version permanently authorizes you +to choose that version for the Program. + + Later license versions may give you additional or different +permissions. However, no additional obligations are imposed on any +author or copyright holder as a result of your choosing to follow a +later version. + + 15. Disclaimer of Warranty. + + THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY +APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT +HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY +OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, +THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR +PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM +IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF +ALL NECESSARY SERVICING, REPAIR OR CORRECTION. + + 16. Limitation of Liability. + + IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS +THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY +GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE +USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF +DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD +PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), +EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF +SUCH DAMAGES. + + 17. Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..0f37308726ef2dafa69df29db0a938629e279011 --- /dev/null +++ b/README.md @@ -0,0 +1,415 @@ +--- +title: ComfyUI Reactor Fast Face Swap HYPERSWAP +emoji: 🌌 +colorFrom: indigo +colorTo: gray +sdk: gradio +sdk_version: 5.12.0 +app_file: app.py +pinned: false +license: mit +short_description: ComfyUI Reactor Fast Face Swap HYPERSWAP 256! +--- +
+ +# ComfyUI +**The most powerful and modular visual AI engine and application.** + + +[![Website][website-shield]][website-url] +[![Dynamic JSON Badge][discord-shield]][discord-url] +[![Twitter][twitter-shield]][twitter-url] +[![Matrix][matrix-shield]][matrix-url] +
+[![][github-release-shield]][github-release-link] +[![][github-release-date-shield]][github-release-link] +[![][github-downloads-shield]][github-downloads-link] +[![][github-downloads-latest-shield]][github-downloads-link] + +[matrix-shield]: https://img.shields.io/badge/Matrix-000000?style=flat&logo=matrix&logoColor=white +[matrix-url]: https://app.element.io/#/room/%23comfyui_space%3Amatrix.org +[website-shield]: https://img.shields.io/badge/ComfyOrg-4285F4?style=flat +[website-url]: https://www.comfy.org/ + +[discord-shield]: https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fcomfyorg%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Discord&color=green&suffix=%20total +[discord-url]: https://www.comfy.org/discord +[twitter-shield]: https://img.shields.io/twitter/follow/ComfyUI +[twitter-url]: https://x.com/ComfyUI + +[github-release-shield]: https://img.shields.io/github/v/release/comfyanonymous/ComfyUI?style=flat&sort=semver +[github-release-link]: https://github.com/comfyanonymous/ComfyUI/releases +[github-release-date-shield]: https://img.shields.io/github/release-date/comfyanonymous/ComfyUI?style=flat +[github-downloads-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/total?style=flat +[github-downloads-latest-shield]: https://img.shields.io/github/downloads/comfyanonymous/ComfyUI/latest/total?style=flat&label=downloads%40latest +[github-downloads-link]: https://github.com/comfyanonymous/ComfyUI/releases + +![ComfyUI Screenshot](https://github.com/user-attachments/assets/7ccaf2c1-9b72-41ae-9a89-5688c94b7abe) +
+ +ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on Windows, Linux, and macOS. + +## Get Started + +#### [Desktop Application](https://www.comfy.org/download) +- The easiest way to get started. +- Available on Windows & macOS. + +#### [Windows Portable Package](#installing) +- Get the latest commits and completely portable. +- Available on Windows. + +#### [Manual Install](#manual-install-windows-linux) +Supports all operating systems and GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend). + +## [Examples](https://comfyanonymous.github.io/ComfyUI_examples/) +See what ComfyUI can do with the [example workflows](https://comfyanonymous.github.io/ComfyUI_examples/). + +## Features +- Nodes/graph/flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything. +- Image Models + - SD1.x, SD2.x ([unCLIP](https://comfyanonymous.github.io/ComfyUI_examples/unclip/)) + - [SDXL](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/), [SDXL Turbo](https://comfyanonymous.github.io/ComfyUI_examples/sdturbo/) + - [Stable Cascade](https://comfyanonymous.github.io/ComfyUI_examples/stable_cascade/) + - [SD3 and SD3.5](https://comfyanonymous.github.io/ComfyUI_examples/sd3/) + - Pixart Alpha and Sigma + - [AuraFlow](https://comfyanonymous.github.io/ComfyUI_examples/aura_flow/) + - [HunyuanDiT](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_dit/) + - [Flux](https://comfyanonymous.github.io/ComfyUI_examples/flux/) + - [Lumina Image 2.0](https://comfyanonymous.github.io/ComfyUI_examples/lumina2/) + - [HiDream](https://comfyanonymous.github.io/ComfyUI_examples/hidream/) + - [Qwen Image](https://comfyanonymous.github.io/ComfyUI_examples/qwen_image/) + - [Hunyuan Image 2.1](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_image/) +- Image Editing Models + - [Omnigen 2](https://comfyanonymous.github.io/ComfyUI_examples/omnigen/) + - [Flux Kontext](https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-kontext-image-editing-model) + - [HiDream E1.1](https://comfyanonymous.github.io/ComfyUI_examples/hidream/#hidream-e11) + - [Qwen Image Edit](https://comfyanonymous.github.io/ComfyUI_examples/qwen_image/#edit-model) +- Video Models + - [Stable Video Diffusion](https://comfyanonymous.github.io/ComfyUI_examples/video/) + - [Mochi](https://comfyanonymous.github.io/ComfyUI_examples/mochi/) + - [LTX-Video](https://comfyanonymous.github.io/ComfyUI_examples/ltxv/) + - [Hunyuan Video](https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_video/) + - [Wan 2.1](https://comfyanonymous.github.io/ComfyUI_examples/wan/) + - [Wan 2.2](https://comfyanonymous.github.io/ComfyUI_examples/wan22/) +- Audio Models + - [Stable Audio](https://comfyanonymous.github.io/ComfyUI_examples/audio/) + - [ACE Step](https://comfyanonymous.github.io/ComfyUI_examples/audio/) +- 3D Models + - [Hunyuan3D 2.0](https://docs.comfy.org/tutorials/3d/hunyuan3D-2) +- Asynchronous Queue system +- Many optimizations: Only re-executes the parts of the workflow that changes between executions. +- Smart memory management: can automatically run large models on GPUs with as low as 1GB vram with smart offloading. +- Works even if you don't have a GPU with: ```--cpu``` (slow) +- Can load ckpt and safetensors: All in one checkpoints or standalone diffusion models, VAEs and CLIP models. +- Safe loading of ckpt, pt, pth, etc.. files. +- Embeddings/Textual inversion +- [Loras (regular, locon and loha)](https://comfyanonymous.github.io/ComfyUI_examples/lora/) +- [Hypernetworks](https://comfyanonymous.github.io/ComfyUI_examples/hypernetworks/) +- Loading full workflows (with seeds) from generated PNG, WebP and FLAC files. +- Saving/Loading workflows as Json files. +- Nodes interface can be used to create complex workflows like one for [Hires fix](https://comfyanonymous.github.io/ComfyUI_examples/2_pass_txt2img/) or much more advanced ones. +- [Area Composition](https://comfyanonymous.github.io/ComfyUI_examples/area_composition/) +- [Inpainting](https://comfyanonymous.github.io/ComfyUI_examples/inpaint/) with both regular and inpainting models. +- [ControlNet and T2I-Adapter](https://comfyanonymous.github.io/ComfyUI_examples/controlnet/) +- [Upscale Models (ESRGAN, ESRGAN variants, SwinIR, Swin2SR, etc...)](https://comfyanonymous.github.io/ComfyUI_examples/upscale_models/) +- [GLIGEN](https://comfyanonymous.github.io/ComfyUI_examples/gligen/) +- [Model Merging](https://comfyanonymous.github.io/ComfyUI_examples/model_merging/) +- [LCM models and Loras](https://comfyanonymous.github.io/ComfyUI_examples/lcm/) +- Latent previews with [TAESD](#how-to-show-high-quality-previews) +- Works fully offline: core will never download anything unless you want to. +- Optional API nodes to use paid models from external providers through the online [Comfy API](https://docs.comfy.org/tutorials/api-nodes/overview). +- [Config file](extra_model_paths.yaml.example) to set the search paths for models. + +Workflow examples can be found on the [Examples page](https://comfyanonymous.github.io/ComfyUI_examples/) + +## Release Process + +ComfyUI follows a weekly release cycle targeting Friday but this regularly changes because of model releases or large changes to the codebase. There are three interconnected repositories: + +1. **[ComfyUI Core](https://github.com/comfyanonymous/ComfyUI)** + - Releases a new stable version (e.g., v0.7.0) + - Serves as the foundation for the desktop release + +2. **[ComfyUI Desktop](https://github.com/Comfy-Org/desktop)** + - Builds a new release using the latest stable core version + +3. **[ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend)** + - Weekly frontend updates are merged into the core repository + - Features are frozen for the upcoming core release + - Development continues for the next release cycle + +## Shortcuts + +| Keybind | Explanation | +|------------------------------------|--------------------------------------------------------------------------------------------------------------------| +| `Ctrl` + `Enter` | Queue up current graph for generation | +| `Ctrl` + `Shift` + `Enter` | Queue up current graph as first for generation | +| `Ctrl` + `Alt` + `Enter` | Cancel current generation | +| `Ctrl` + `Z`/`Ctrl` + `Y` | Undo/Redo | +| `Ctrl` + `S` | Save workflow | +| `Ctrl` + `O` | Load workflow | +| `Ctrl` + `A` | Select all nodes | +| `Alt `+ `C` | Collapse/uncollapse selected nodes | +| `Ctrl` + `M` | Mute/unmute selected nodes | +| `Ctrl` + `B` | Bypass selected nodes (acts like the node was removed from the graph and the wires reconnected through) | +| `Delete`/`Backspace` | Delete selected nodes | +| `Ctrl` + `Backspace` | Delete the current graph | +| `Space` | Move the canvas around when held and moving the cursor | +| `Ctrl`/`Shift` + `Click` | Add clicked node to selection | +| `Ctrl` + `C`/`Ctrl` + `V` | Copy and paste selected nodes (without maintaining connections to outputs of unselected nodes) | +| `Ctrl` + `C`/`Ctrl` + `Shift` + `V` | Copy and paste selected nodes (maintaining connections from outputs of unselected nodes to inputs of pasted nodes) | +| `Shift` + `Drag` | Move multiple selected nodes at the same time | +| `Ctrl` + `D` | Load default graph | +| `Alt` + `+` | Canvas Zoom in | +| `Alt` + `-` | Canvas Zoom out | +| `Ctrl` + `Shift` + LMB + Vertical drag | Canvas Zoom in/out | +| `P` | Pin/Unpin selected nodes | +| `Ctrl` + `G` | Group selected nodes | +| `Q` | Toggle visibility of the queue | +| `H` | Toggle visibility of history | +| `R` | Refresh graph | +| `F` | Show/Hide menu | +| `.` | Fit view to selection (Whole graph when nothing is selected) | +| Double-Click LMB | Open node quick search palette | +| `Shift` + Drag | Move multiple wires at once | +| `Ctrl` + `Alt` + LMB | Disconnect all wires from clicked slot | + +`Ctrl` can also be replaced with `Cmd` instead for macOS users + +# Installing + +## Windows Portable + +There is a portable standalone build for Windows that should work for running on Nvidia GPUs or for running on your CPU only on the [releases page](https://github.com/comfyanonymous/ComfyUI/releases). + +### [Direct link to download](https://github.com/comfyanonymous/ComfyUI/releases/latest/download/ComfyUI_windows_portable_nvidia.7z) + +Simply download, extract with [7-Zip](https://7-zip.org) and run. Make sure you put your Stable Diffusion checkpoints/models (the huge ckpt/safetensors files) in: ComfyUI\models\checkpoints + +If you have trouble extracting it, right click the file -> properties -> unblock + +#### How do I share models between another UI and ComfyUI? + +See the [Config file](extra_model_paths.yaml.example) to set the search paths for models. In the standalone windows build you can find this file in the ComfyUI directory. Rename this file to extra_model_paths.yaml and edit it with your favorite text editor. + + +## [comfy-cli](https://docs.comfy.org/comfy-cli/getting-started) + +You can install and start ComfyUI using comfy-cli: +```bash +pip install comfy-cli +comfy install +``` + +## Manual Install (Windows, Linux) + +Python 3.13 is very well supported. If you have trouble with some custom node dependencies you can try 3.12 + +Git clone this repo. + +Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints + +Put your VAE in: models/vae + + +### AMD GPUs (Linux only) +AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version: + +```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.4``` + +This is the command to install the nightly with ROCm 6.4 which might have some performance improvements: + +```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4``` + +### Intel GPUs (Windows and Linux) + +(Option 1) Intel Arc GPU users can install native PyTorch with torch.xpu support using pip. More information can be found [here](https://pytorch.org/docs/main/notes/get_start_xpu.html) + +1. To install PyTorch xpu, use the following command: + +```pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu``` + +This is the command to install the Pytorch xpu nightly which might have some performance improvements: + +```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu``` + +(Option 2) Alternatively, Intel GPUs supported by Intel Extension for PyTorch (IPEX) can leverage IPEX for improved performance. + +1. visit [Installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation?platform=gpu) for more information. + +### NVIDIA + +Nvidia users should install stable pytorch using this command: + +```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu129``` + +This is the command to install pytorch nightly instead which might have performance improvements. + +```pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu129``` + +#### Troubleshooting + +If you get the "Torch not compiled with CUDA enabled" error, uninstall torch with: + +```pip uninstall torch``` + +And install it again with the command above. + +### Dependencies + +Install the dependencies by opening your terminal inside the ComfyUI folder and: + +```pip install -r requirements.txt``` + +After this you should have everything installed and can proceed to running ComfyUI. + +### Others: + +#### Apple Mac silicon + +You can install ComfyUI in Apple Mac silicon (M1 or M2) with any recent macOS version. + +1. Install pytorch nightly. For instructions, read the [Accelerated PyTorch training on Mac](https://developer.apple.com/metal/pytorch/) Apple Developer guide (make sure to install the latest pytorch nightly). +1. Follow the [ComfyUI manual installation](#manual-install-windows-linux) instructions for Windows and Linux. +1. Install the ComfyUI [dependencies](#dependencies). If you have another Stable Diffusion UI [you might be able to reuse the dependencies](#i-already-have-another-ui-for-stable-diffusion-installed-do-i-really-have-to-install-all-of-these-dependencies). +1. Launch ComfyUI by running `python main.py` + +> **Note**: Remember to add your models, VAE, LoRAs etc. to the corresponding Comfy folders, as discussed in [ComfyUI manual installation](#manual-install-windows-linux). + +#### DirectML (AMD Cards on Windows) + +This is very badly supported and is not recommended. There are some unofficial builds of pytorch ROCm on windows that exist that will give you a much better experience than this. This readme will be updated once official pytorch ROCm builds for windows come out. + +```pip install torch-directml``` Then you can launch ComfyUI with: ```python main.py --directml``` + +#### Ascend NPUs + +For models compatible with Ascend Extension for PyTorch (torch_npu). To get started, ensure your environment meets the prerequisites outlined on the [installation](https://ascend.github.io/docs/sources/ascend/quick_install.html) page. Here's a step-by-step guide tailored to your platform and installation method: + +1. Begin by installing the recommended or newer kernel version for Linux as specified in the Installation page of torch-npu, if necessary. +2. Proceed with the installation of Ascend Basekit, which includes the driver, firmware, and CANN, following the instructions provided for your specific platform. +3. Next, install the necessary packages for torch-npu by adhering to the platform-specific instructions on the [Installation](https://ascend.github.io/docs/sources/pytorch/install.html#pytorch) page. +4. Finally, adhere to the [ComfyUI manual installation](#manual-install-windows-linux) guide for Linux. Once all components are installed, you can run ComfyUI as described earlier. + +#### Cambricon MLUs + +For models compatible with Cambricon Extension for PyTorch (torch_mlu). Here's a step-by-step guide tailored to your platform and installation method: + +1. Install the Cambricon CNToolkit by adhering to the platform-specific instructions on the [Installation](https://www.cambricon.com/docs/sdk_1.15.0/cntoolkit_3.7.2/cntoolkit_install_3.7.2/index.html) +2. Next, install the PyTorch(torch_mlu) following the instructions on the [Installation](https://www.cambricon.com/docs/sdk_1.15.0/cambricon_pytorch_1.17.0/user_guide_1.9/index.html) +3. Launch ComfyUI by running `python main.py` + +#### Iluvatar Corex + +For models compatible with Iluvatar Extension for PyTorch. Here's a step-by-step guide tailored to your platform and installation method: + +1. Install the Iluvatar Corex Toolkit by adhering to the platform-specific instructions on the [Installation](https://support.iluvatar.com/#/DocumentCentre?id=1&nameCenter=2&productId=520117912052801536) +2. Launch ComfyUI by running `python main.py` + +# Running + +```python main.py``` + +### For AMD cards not officially supported by ROCm + +Try running it with this command if you have issues: + +For 6700, 6600 and maybe other RDNA2 or older: ```HSA_OVERRIDE_GFX_VERSION=10.3.0 python main.py``` + +For AMD 7600 and maybe other RDNA3 cards: ```HSA_OVERRIDE_GFX_VERSION=11.0.0 python main.py``` + +### AMD ROCm Tips + +You can enable experimental memory efficient attention on recent pytorch in ComfyUI on some AMD GPUs using this command, it should already be enabled by default on RDNA3. If this improves speed for you on latest pytorch on your GPU please report it so that I can enable it by default. + +```TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1 python main.py --use-pytorch-cross-attention``` + +You can also try setting this env variable `PYTORCH_TUNABLEOP_ENABLED=1` which might speed things up at the cost of a very slow initial run. + +# Notes + +Only parts of the graph that have an output with all the correct inputs will be executed. + +Only parts of the graph that change from each execution to the next will be executed, if you submit the same graph twice only the first will be executed. If you change the last part of the graph only the part you changed and the part that depends on it will be executed. + +Dragging a generated png on the webpage or loading one will give you the full workflow including seeds that were used to create it. + +You can use () to change emphasis of a word or phrase like: (good code:1.2) or (bad code:0.8). The default emphasis for () is 1.1. To use () characters in your actual prompt escape them like \\( or \\). + +You can use {day|night}, for wildcard/dynamic prompts. With this syntax "{wild|card|test}" will be randomly replaced by either "wild", "card" or "test" by the frontend every time you queue the prompt. To use {} characters in your actual prompt escape them like: \\{ or \\}. + +Dynamic prompts also support C-style comments, like `// comment` or `/* comment */`. + +To use a textual inversion concepts/embeddings in a text prompt put them in the models/embeddings directory and use them in the CLIPTextEncode node like this (you can omit the .pt extension): + +```embedding:embedding_filename.pt``` + + +## How to show high-quality previews? + +Use ```--preview-method auto``` to enable previews. + +The default installation includes a fast latent preview method that's low-resolution. To enable higher-quality previews with [TAESD](https://github.com/madebyollin/taesd), download the [taesd_decoder.pth, taesdxl_decoder.pth, taesd3_decoder.pth and taef1_decoder.pth](https://github.com/madebyollin/taesd/) and place them in the `models/vae_approx` folder. Once they're installed, restart ComfyUI and launch it with `--preview-method taesd` to enable high-quality previews. + +## How to use TLS/SSL? +Generate a self-signed certificate (not appropriate for shared/production use) and key by running the command: `openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -sha256 -days 3650 -nodes -subj "/C=XX/ST=StateName/L=CityName/O=CompanyName/OU=CompanySectionName/CN=CommonNameOrHostname"` + +Use `--tls-keyfile key.pem --tls-certfile cert.pem` to enable TLS/SSL, the app will now be accessible with `https://...` instead of `http://...`. + +> Note: Windows users can use [alexisrolland/docker-openssl](https://github.com/alexisrolland/docker-openssl) or one of the [3rd party binary distributions](https://wiki.openssl.org/index.php/Binaries) to run the command example above. +

If you use a container, note that the volume mount `-v` can be a relative path so `... -v ".\:/openssl-certs" ...` would create the key & cert files in the current directory of your command prompt or powershell terminal. + +## Support and dev channel + +[Discord](https://comfy.org/discord): Try the #help or #feedback channels. + +[Matrix space: #comfyui_space:matrix.org](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) (it's like discord but open source). + +See also: [https://www.comfy.org/](https://www.comfy.org/) + +## Frontend Development + +As of August 15, 2024, we have transitioned to a new frontend, which is now hosted in a separate repository: [ComfyUI Frontend](https://github.com/Comfy-Org/ComfyUI_frontend). This repository now hosts the compiled JS (from TS/Vue) under the `web/` directory. + +### Reporting Issues and Requesting Features + +For any bugs, issues, or feature requests related to the frontend, please use the [ComfyUI Frontend repository](https://github.com/Comfy-Org/ComfyUI_frontend). This will help us manage and address frontend-specific concerns more efficiently. + +### Using the Latest Frontend + +The new frontend is now the default for ComfyUI. However, please note: + +1. The frontend in the main ComfyUI repository is updated fortnightly. +2. Daily releases are available in the separate frontend repository. + +To use the most up-to-date frontend version: + +1. For the latest daily release, launch ComfyUI with this command line argument: + + ``` + --front-end-version Comfy-Org/ComfyUI_frontend@latest + ``` + +2. For a specific version, replace `latest` with the desired version number: + + ``` + --front-end-version Comfy-Org/ComfyUI_frontend@1.2.2 + ``` + +This approach allows you to easily switch between the stable fortnightly release and the cutting-edge daily updates, or even specific versions for testing purposes. + +### Accessing the Legacy Frontend + +If you need to use the legacy frontend for any reason, you can access it using the following command line argument: + +``` +--front-end-version Comfy-Org/ComfyUI_legacy_frontend@latest +``` + +This will use a snapshot of the legacy frontend preserved in the [ComfyUI Legacy Frontend repository](https://github.com/Comfy-Org/ComfyUI_legacy_frontend). + +# QA + +### Which GPU should I buy for this? + +[See this page for some recommendations](https://github.com/comfyanonymous/ComfyUI/wiki/Which-GPU-should-I-buy-for-ComfyUI) diff --git a/alembic.ini b/alembic.ini new file mode 100644 index 0000000000000000000000000000000000000000..12f18712f4306f1b76e6b291956797b01469cd80 --- /dev/null +++ b/alembic.ini @@ -0,0 +1,84 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +# Use forward slashes (/) also on windows to provide an os agnostic path +script_location = alembic_db + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file +# for all available tokens +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python>=3.9 or backports.zoneinfo library and tzdata library. +# Any required deps can installed by adding `alembic[tz]` to the pip requirements +# string value is passed to ZoneInfo() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to alembic_db/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:alembic_db/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +# version_path_separator = newline +# +# Use os.pathsep. Default configuration used for new projects. +version_path_separator = os + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +sqlalchemy.url = sqlite:///user/comfyui.db + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# lint with attempts to fix using "ruff" - use the exec runner, execute a binary +# hooks = ruff +# ruff.type = exec +# ruff.executable = %(here)s/.venv/bin/ruff +# ruff.options = check --fix REVISION_SCRIPT_FILENAME diff --git a/alembic_db/README.md b/alembic_db/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3b808c7cab30eaab91c9ff5c1b2d5cc960904e14 --- /dev/null +++ b/alembic_db/README.md @@ -0,0 +1,4 @@ +## Generate new revision + +1. Update models in `/app/database/models.py` +2. Run `alembic revision --autogenerate -m "{your message}"` diff --git a/alembic_db/env.py b/alembic_db/env.py new file mode 100644 index 0000000000000000000000000000000000000000..4d7770679875e2fad065fba0c9222758a40d266b --- /dev/null +++ b/alembic_db/env.py @@ -0,0 +1,64 @@ +from sqlalchemy import engine_from_config +from sqlalchemy import pool + +from alembic import context + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + + +from app.database.models import Base +target_metadata = Base.metadata + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + Calls to context.execute() here emit the given string to the + script output. + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode. + In this scenario we need to create an Engine + and associate a connection with the context. + """ + connectable = engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure( + connection=connection, target_metadata=target_metadata + ) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/alembic_db/script.py.mako b/alembic_db/script.py.mako new file mode 100644 index 0000000000000000000000000000000000000000..480b130d632ca677c11f23d9fe82cf4014d15e0c --- /dev/null +++ b/alembic_db/script.py.mako @@ -0,0 +1,28 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + """Upgrade schema.""" + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + """Downgrade schema.""" + ${downgrades if downgrades else "pass"} diff --git a/api_server/__init__.py b/api_server/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/api_server/routes/__init__.py b/api_server/routes/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/api_server/routes/internal/README.md b/api_server/routes/internal/README.md new file mode 100644 index 0000000000000000000000000000000000000000..35330c36f83962385b4afe4653c5967f2bdb73c1 --- /dev/null +++ b/api_server/routes/internal/README.md @@ -0,0 +1,3 @@ +# ComfyUI Internal Routes + +All routes under the `/internal` path are designated for **internal use by ComfyUI only**. These routes are not intended for use by external applications may change at any time without notice. diff --git a/api_server/routes/internal/__init__.py b/api_server/routes/internal/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/api_server/routes/internal/internal_routes.py b/api_server/routes/internal/internal_routes.py new file mode 100644 index 0000000000000000000000000000000000000000..613b0f7c7cf1cdbb24aae3e880e749839ac1110e --- /dev/null +++ b/api_server/routes/internal/internal_routes.py @@ -0,0 +1,73 @@ +from aiohttp import web +from typing import Optional +from folder_paths import folder_names_and_paths, get_directory_by_type +from api_server.services.terminal_service import TerminalService +import app.logger +import os + +class InternalRoutes: + ''' + The top level web router for internal routes: /internal/* + The endpoints here should NOT be depended upon. It is for ComfyUI frontend use only. + Check README.md for more information. + ''' + + def __init__(self, prompt_server): + self.routes: web.RouteTableDef = web.RouteTableDef() + self._app: Optional[web.Application] = None + self.prompt_server = prompt_server + self.terminal_service = TerminalService(prompt_server) + + def setup_routes(self): + @self.routes.get('/logs') + async def get_logs(request): + return web.json_response("".join([(l["t"] + " - " + l["m"]) for l in app.logger.get_logs()])) + + @self.routes.get('/logs/raw') + async def get_raw_logs(request): + self.terminal_service.update_size() + return web.json_response({ + "entries": list(app.logger.get_logs()), + "size": {"cols": self.terminal_service.cols, "rows": self.terminal_service.rows} + }) + + @self.routes.patch('/logs/subscribe') + async def subscribe_logs(request): + json_data = await request.json() + client_id = json_data["clientId"] + enabled = json_data["enabled"] + if enabled: + self.terminal_service.subscribe(client_id) + else: + self.terminal_service.unsubscribe(client_id) + + return web.Response(status=200) + + + @self.routes.get('/folder_paths') + async def get_folder_paths(request): + response = {} + for key in folder_names_and_paths: + response[key] = folder_names_and_paths[key][0] + return web.json_response(response) + + @self.routes.get('/files/{directory_type}') + async def get_files(request: web.Request) -> web.Response: + directory_type = request.match_info['directory_type'] + if directory_type not in ("output", "input", "temp"): + return web.json_response({"error": "Invalid directory type"}, status=400) + + directory = get_directory_by_type(directory_type) + sorted_files = sorted( + (entry for entry in os.scandir(directory) if entry.is_file()), + key=lambda entry: -entry.stat().st_mtime + ) + return web.json_response([entry.name for entry in sorted_files], status=200) + + + def get_app(self): + if self._app is None: + self._app = web.Application() + self.setup_routes() + self._app.add_routes(self.routes) + return self._app diff --git a/api_server/services/__init__.py b/api_server/services/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/api_server/services/terminal_service.py b/api_server/services/terminal_service.py new file mode 100644 index 0000000000000000000000000000000000000000..ab4371f4f855c6d347744f751fd1bc5cc0f5a173 --- /dev/null +++ b/api_server/services/terminal_service.py @@ -0,0 +1,60 @@ +from app.logger import on_flush +import os +import shutil + + +class TerminalService: + def __init__(self, server): + self.server = server + self.cols = None + self.rows = None + self.subscriptions = set() + on_flush(self.send_messages) + + def get_terminal_size(self): + try: + size = os.get_terminal_size() + return (size.columns, size.lines) + except OSError: + try: + size = shutil.get_terminal_size() + return (size.columns, size.lines) + except OSError: + return (80, 24) # fallback to 80x24 + + def update_size(self): + columns, lines = self.get_terminal_size() + changed = False + + if columns != self.cols: + self.cols = columns + changed = True + + if lines != self.rows: + self.rows = lines + changed = True + + if changed: + return {"cols": self.cols, "rows": self.rows} + + return None + + def subscribe(self, client_id): + self.subscriptions.add(client_id) + + def unsubscribe(self, client_id): + self.subscriptions.discard(client_id) + + def send_messages(self, entries): + if not len(entries) or not len(self.subscriptions): + return + + new_size = self.update_size() + + for client_id in self.subscriptions.copy(): # prevent: Set changed size during iteration + if client_id not in self.server.sockets: + # Automatically unsub if the socket has disconnected + self.unsubscribe(client_id) + continue + + self.server.send_sync("logs", {"entries": entries, "size": new_size}, client_id) diff --git a/api_server/utils/file_operations.py b/api_server/utils/file_operations.py new file mode 100644 index 0000000000000000000000000000000000000000..32d6e047a5da09d0f382bb3fa93ce8d52b699aa7 --- /dev/null +++ b/api_server/utils/file_operations.py @@ -0,0 +1,42 @@ +import os +from typing import List, Union, TypedDict, Literal +from typing_extensions import TypeGuard +class FileInfo(TypedDict): + name: str + path: str + type: Literal["file"] + size: int + +class DirectoryInfo(TypedDict): + name: str + path: str + type: Literal["directory"] + +FileSystemItem = Union[FileInfo, DirectoryInfo] + +def is_file_info(item: FileSystemItem) -> TypeGuard[FileInfo]: + return item["type"] == "file" + +class FileSystemOperations: + @staticmethod + def walk_directory(directory: str) -> List[FileSystemItem]: + file_list: List[FileSystemItem] = [] + for root, dirs, files in os.walk(directory): + for name in files: + file_path = os.path.join(root, name) + relative_path = os.path.relpath(file_path, directory) + file_list.append({ + "name": name, + "path": relative_path, + "type": "file", + "size": os.path.getsize(file_path) + }) + for name in dirs: + dir_path = os.path.join(root, name) + relative_path = os.path.relpath(dir_path, directory) + file_list.append({ + "name": name, + "path": relative_path, + "type": "directory" + }) + return file_list diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..a8d12271646b096c78843981229bdd1f1c210a39 --- /dev/null +++ b/app.py @@ -0,0 +1,236 @@ +import os +import random +import sys +from typing import Sequence, Mapping, Any, Union +import torch +from PIL import Image +from huggingface_hub import hf_hub_download +import spaces + +import subprocess, sys + +import gradio +import gradio_client +import gradio as gr + +print("gradio version:", gradio.__version__) +print("gradio_client version:", gradio_client.__version__) + +hf_hub_download(repo_id="ezioruan/inswapper_128.onnx", filename="inswapper_128.onnx", local_dir="models/insightface") +hf_hub_download(repo_id="martintomov/comfy", filename="facerestore_models/GPEN-BFR-512.onnx", local_dir="models") + +hf_hub_download(repo_id="facefusion/models-3.3.0", filename="hyperswap_1a_256.onnx", local_dir="models/hyperswap") +hf_hub_download(repo_id="facefusion/models-3.3.0", filename="hyperswap_1b_256.onnx", local_dir="models/hyperswap") +hf_hub_download(repo_id="facefusion/models-3.3.0", filename="hyperswap_1c_256.onnx", local_dir="models/hyperswap") + +hf_hub_download(repo_id="martintomov/comfy", filename="facedetection/yolov5l-face.pth", local_dir="models") +###hf_hub_download(repo_id="darkeril/collection", filename="detection_Resnet50_Final.pth", local_dir="models/facedetection") +hf_hub_download(repo_id="gmk123/GFPGAN", filename="parsing_parsenet.pth", local_dir="models/facedetection") + +hf_hub_download(repo_id="MonsterMMORPG/tools", filename="1k3d68.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="MonsterMMORPG/tools", filename="2d106det.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="maze/faceX", filename="det_10g.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="typhoon01/aux_models", filename="genderage.onnx", local_dir="models/insightface/models/buffalo_l") +hf_hub_download(repo_id="maze/faceX", filename="w600k_r50.onnx", local_dir="models/insightface/models/buffalo_l") + +hf_hub_download(repo_id="vladmandic/insightface-faceanalysis", filename="buffalo_l.zip", local_dir="models/insightface/models/buffalo_l") + + +def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any: + """Returns the value at the given index of a sequence or mapping. + + If the object is a sequence (like list or string), returns the value at the given index. + If the object is a mapping (like a dictionary), returns the value at the index-th key. + + Some return a dictionary, in these cases, we look for the "results" key + + Args: + obj (Union[Sequence, Mapping]): The object to retrieve the value from. + index (int): The index of the value to retrieve. + + Returns: + Any: The value at the given index. + + Raises: + IndexError: If the index is out of bounds for the object and the object is not a mapping. + """ + try: + return obj[index] + except KeyError: + return obj["result"][index] + + +def find_path(name: str, path: str = None) -> str: + """ + Recursively looks at parent folders starting from the given path until it finds the given name. + Returns the path as a Path object if found, or None otherwise. + """ + # If no path is given, use the current working directory + if path is None: + path = os.getcwd() + + # Check if the current directory contains the name + if name in os.listdir(path): + path_name = os.path.join(path, name) + print(f"{name} found: {path_name}") + return path_name + + # Get the parent directory + parent_directory = os.path.dirname(path) + + # If the parent directory is the same as the current directory, we've reached the root and stop the search + if parent_directory == path: + return None + + # Recursively call the function with the parent directory + return find_path(name, parent_directory) + + +def add_comfyui_directory_to_sys_path() -> None: + """ + Add 'ComfyUI' to the sys.path + """ + comfyui_path = find_path("ComfyUI") + if comfyui_path is not None and os.path.isdir(comfyui_path): + sys.path.append(comfyui_path) + print(f"'{comfyui_path}' added to sys.path") + + +def add_extra_model_paths() -> None: + """ + Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path. + """ + try: + from main import load_extra_path_config + except ImportError: + print( + "Could not import load_extra_path_config from main.py. Looking in utils.extra_config instead." + ) + from utils.extra_config import load_extra_path_config + + extra_model_paths = find_path("extra_model_paths.yaml") + + if extra_model_paths is not None: + load_extra_path_config(extra_model_paths) + else: + print("Could not find the extra_model_paths config file.") + + +add_comfyui_directory_to_sys_path() +add_extra_model_paths() + + +def import_custom_nodes() -> None: + """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS + + This function sets up a new asyncio event loop, initializes the PromptServer, + creates a PromptQueue, and initializes the custom nodes. + """ + import asyncio + import execution + from nodes import init_extra_nodes + import server + + # Creating a new event loop and setting it as the default loop + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + # Creating an instance of PromptServer with the loop + server_instance = server.PromptServer(loop) + execution.PromptQueue(server_instance) + + # Initializing custom nodes + # Запускаем корутину и ждём её завершения + loop.run_until_complete(init_extra_nodes()) +# init_extra_nodes() + +import_custom_nodes() +from nodes import NODE_CLASS_MAPPINGS + +@spaces.GPU(duration=10) +def generate_image(source_image, target_image, target_index, swap_model, face_restore_model, restore_strength): + with torch.inference_mode(): + loadimage = NODE_CLASS_MAPPINGS["LoadImage"]() + loadimage_2 = loadimage.load_image(image=source_image) + loadimage_3 = loadimage.load_image(image=target_image) + + reactorfaceswap = NODE_CLASS_MAPPINGS["ReActorFaceSwap"]() + saveimage = NODE_CLASS_MAPPINGS["SaveImage"]() + + reactorfaceswap_76 = reactorfaceswap.execute( + enabled=True, + swap_model=swap_model, # Используем выбранную модель + facedetection="YOLOv5l", + face_restore_model=face_restore_model, + face_restore_visibility=restore_strength, + codeformer_weight=0.5, + detect_gender_input="no", + detect_gender_source="no", + input_faces_index=str(target_index), # Преобразуем в строку + source_faces_index="0", + console_log_level=1, + input_image=get_value_at_index(loadimage_3, 0), + source_image=get_value_at_index(loadimage_2, 0), + ) + + saveimage_77 = saveimage.save_images( + filename_prefix="ComfyUI", + images=get_value_at_index(reactorfaceswap_76, 0), + ) + + saved_path = f"output/{saveimage_77['ui']['images'][0]['filename']}" + return saved_path + +if __name__ == "__main__": + with gr.Blocks() as app: + # Заголовок + gr.Markdown("# ComfyUI Reactor Fast Face Swap Hyperswap") + + with gr.Row(): + with gr.Column(): + # Вложенный Row для групп + with gr.Row(): + # Первая группа + with gr.Group(): + source_image = gr.Image(label="Source Image (Face)", type="filepath") + swap_model = gr.Dropdown( + choices=["inswapper_128.onnx", "hyperswap_1a_256.onnx", "hyperswap_1b_256.onnx", "hyperswap_1c_256.onnx"], + value="hyperswap_1b_256.onnx", + label="Swap Model" + ) + face_restore_model = gr.Dropdown(choices=["none", "GPEN-BFR-512.onnx"], value="none", label="Face Restore Model") + restore_strength = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Face Restore Strength") + + # Вторая группа (обратите внимание — она должна быть на том же уровне, что и первая) + with gr.Group(): + target_image = gr.Image(label="Target Image (Body)", type="filepath") + # restore_strength = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Face Restore Strength") + target_index = gr.Dropdown(choices=[0, 1, 2, 3, 4], value=0, label="Target Face Index") + gr.Markdown("Index_0 = Largest Face. To switch for another target face - switch to Index_1, Index_2, e.t.c") + + # Кнопка генерации + generate_btn = gr.Button("Generate") + gr.Markdown( + "***Hyperswap_1b_256.onnx is the best (in most cases) - but sometimes model produce FAIL swap (do not do any swapping). It's known inner bug." + ) + gr.Markdown( + "***Hyperswap models do not need Face Restorer - use it with None. Inswapper_128 need Face Restorer - use it with GPEN-BFR-512 at strenght 0.7-0.8." + ) + gr.Markdown( + "***ComfyUI Reactor Fast Face Swap Hyperswap running directly on Gradio. - " + "[How to convert your any ComfyUI workflow to Gradio]" + "(https://huggingface.co/blog/run-comfyui-workflows-on-spaces)" + ) + + with gr.Column(): + # Вывод изображения + output_image = gr.Image(label="Generated Image") + + # Связываем клик кнопки с функцией + generate_btn.click( + fn=generate_image, + inputs=[source_image, target_image, target_index, swap_model, face_restore_model, restore_strength], + outputs=[output_image] + ) + + app.launch(share=True) diff --git a/app/__init__.py b/app/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/app/app_settings.py b/app/app_settings.py new file mode 100644 index 0000000000000000000000000000000000000000..c7ac73bf6a59d3e89647aed13b70ca9428e16f2a --- /dev/null +++ b/app/app_settings.py @@ -0,0 +1,65 @@ +import os +import json +from aiohttp import web +import logging + + +class AppSettings(): + def __init__(self, user_manager): + self.user_manager = user_manager + + def get_settings(self, request): + try: + file = self.user_manager.get_request_user_filepath( + request, + "comfy.settings.json" + ) + except KeyError as e: + logging.error("User settings not found.") + raise web.HTTPUnauthorized() from e + if os.path.isfile(file): + try: + with open(file) as f: + return json.load(f) + except: + logging.error(f"The user settings file is corrupted: {file}") + return {} + else: + return {} + + def save_settings(self, request, settings): + file = self.user_manager.get_request_user_filepath( + request, "comfy.settings.json") + with open(file, "w") as f: + f.write(json.dumps(settings, indent=4)) + + def add_routes(self, routes): + @routes.get("/settings") + async def get_settings(request): + return web.json_response(self.get_settings(request)) + + @routes.get("/settings/{id}") + async def get_setting(request): + value = None + settings = self.get_settings(request) + setting_id = request.match_info.get("id", None) + if setting_id and setting_id in settings: + value = settings[setting_id] + return web.json_response(value) + + @routes.post("/settings") + async def post_settings(request): + settings = self.get_settings(request) + new_settings = await request.json() + self.save_settings(request, {**settings, **new_settings}) + return web.Response(status=200) + + @routes.post("/settings/{id}") + async def post_setting(request): + setting_id = request.match_info.get("id", None) + if not setting_id: + return web.Response(status=400) + settings = self.get_settings(request) + settings[setting_id] = await request.json() + self.save_settings(request, settings) + return web.Response(status=200) diff --git a/app/custom_node_manager.py b/app/custom_node_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..281febca952363659eb3925280fab00f07c986d0 --- /dev/null +++ b/app/custom_node_manager.py @@ -0,0 +1,145 @@ +from __future__ import annotations + +import os +import folder_paths +import glob +from aiohttp import web +import json +import logging +from functools import lru_cache + +from utils.json_util import merge_json_recursive + + +# Extra locale files to load into main.json +EXTRA_LOCALE_FILES = [ + "nodeDefs.json", + "commands.json", + "settings.json", +] + + +def safe_load_json_file(file_path: str) -> dict: + if not os.path.exists(file_path): + return {} + + try: + with open(file_path, "r", encoding="utf-8") as f: + return json.load(f) + except json.JSONDecodeError: + logging.error(f"Error loading {file_path}") + return {} + + +class CustomNodeManager: + @lru_cache(maxsize=1) + def build_translations(self): + """Load all custom nodes translations during initialization. Translations are + expected to be loaded from `locales/` folder. + + The folder structure is expected to be the following: + - custom_nodes/ + - custom_node_1/ + - locales/ + - en/ + - main.json + - commands.json + - settings.json + + returned translations are expected to be in the following format: + { + "en": { + "nodeDefs": {...}, + "commands": {...}, + "settings": {...}, + ...{other main.json keys} + } + } + """ + + translations = {} + + for folder in folder_paths.get_folder_paths("custom_nodes"): + # Sort glob results for deterministic ordering + for custom_node_dir in sorted(glob.glob(os.path.join(folder, "*/"))): + locales_dir = os.path.join(custom_node_dir, "locales") + if not os.path.exists(locales_dir): + continue + + for lang_dir in glob.glob(os.path.join(locales_dir, "*/")): + lang_code = os.path.basename(os.path.dirname(lang_dir)) + + if lang_code not in translations: + translations[lang_code] = {} + + # Load main.json + main_file = os.path.join(lang_dir, "main.json") + node_translations = safe_load_json_file(main_file) + + # Load extra locale files + for extra_file in EXTRA_LOCALE_FILES: + extra_file_path = os.path.join(lang_dir, extra_file) + key = extra_file.split(".")[0] + json_data = safe_load_json_file(extra_file_path) + if json_data: + node_translations[key] = json_data + + if node_translations: + translations[lang_code] = merge_json_recursive( + translations[lang_code], node_translations + ) + + return translations + + def add_routes(self, routes, webapp, loadedModules): + + example_workflow_folder_names = ["example_workflows", "example", "examples", "workflow", "workflows"] + + @routes.get("/workflow_templates") + async def get_workflow_templates(request): + """Returns a web response that contains the map of custom_nodes names and their associated workflow templates. The ones without templates are omitted.""" + + files = [] + + for folder in folder_paths.get_folder_paths("custom_nodes"): + for folder_name in example_workflow_folder_names: + pattern = os.path.join(folder, f"*/{folder_name}/*.json") + matched_files = glob.glob(pattern) + files.extend(matched_files) + + workflow_templates_dict = ( + {} + ) # custom_nodes folder name -> example workflow names + for file in files: + custom_nodes_name = os.path.basename( + os.path.dirname(os.path.dirname(file)) + ) + workflow_name = os.path.splitext(os.path.basename(file))[0] + workflow_templates_dict.setdefault(custom_nodes_name, []).append( + workflow_name + ) + return web.json_response(workflow_templates_dict) + + # Serve workflow templates from custom nodes. + for module_name, module_dir in loadedModules: + for folder_name in example_workflow_folder_names: + workflows_dir = os.path.join(module_dir, folder_name) + + if os.path.exists(workflows_dir): + if folder_name != "example_workflows": + logging.debug( + "Found example workflow folder '%s' for custom node '%s', consider renaming it to 'example_workflows'", + folder_name, module_name) + + webapp.add_routes( + [ + web.static( + "/api/workflow_templates/" + module_name, workflows_dir + ) + ] + ) + + @routes.get("/i18n") + async def get_i18n(request): + """Returns translations from all custom nodes' locales folders.""" + return web.json_response(self.build_translations()) diff --git a/app/database/db.py b/app/database/db.py new file mode 100644 index 0000000000000000000000000000000000000000..1de8b80edd8a5761039c7314c6387d2184a15e14 --- /dev/null +++ b/app/database/db.py @@ -0,0 +1,112 @@ +import logging +import os +import shutil +from app.logger import log_startup_warning +from utils.install_util import get_missing_requirements_message +from comfy.cli_args import args + +_DB_AVAILABLE = False +Session = None + + +try: + from alembic import command + from alembic.config import Config + from alembic.runtime.migration import MigrationContext + from alembic.script import ScriptDirectory + from sqlalchemy import create_engine + from sqlalchemy.orm import sessionmaker + + _DB_AVAILABLE = True +except ImportError as e: + log_startup_warning( + f""" +------------------------------------------------------------------------ +Error importing dependencies: {e} +{get_missing_requirements_message()} +This error is happening because ComfyUI now uses a local sqlite database. +------------------------------------------------------------------------ +""".strip() + ) + + +def dependencies_available(): + """ + Temporary function to check if the dependencies are available + """ + return _DB_AVAILABLE + + +def can_create_session(): + """ + Temporary function to check if the database is available to create a session + During initial release there may be environmental issues (or missing dependencies) that prevent the database from being created + """ + return dependencies_available() and Session is not None + + +def get_alembic_config(): + root_path = os.path.join(os.path.dirname(__file__), "../..") + config_path = os.path.abspath(os.path.join(root_path, "alembic.ini")) + scripts_path = os.path.abspath(os.path.join(root_path, "alembic_db")) + + config = Config(config_path) + config.set_main_option("script_location", scripts_path) + config.set_main_option("sqlalchemy.url", args.database_url) + + return config + + +def get_db_path(): + url = args.database_url + if url.startswith("sqlite:///"): + return url.split("///")[1] + else: + raise ValueError(f"Unsupported database URL '{url}'.") + + +def init_db(): + db_url = args.database_url + logging.debug(f"Database URL: {db_url}") + db_path = get_db_path() + db_exists = os.path.exists(db_path) + + config = get_alembic_config() + + # Check if we need to upgrade + engine = create_engine(db_url) + conn = engine.connect() + + context = MigrationContext.configure(conn) + current_rev = context.get_current_revision() + + script = ScriptDirectory.from_config(config) + target_rev = script.get_current_head() + + if target_rev is None: + logging.warning("No target revision found.") + elif current_rev != target_rev: + # Backup the database pre upgrade + backup_path = db_path + ".bkp" + if db_exists: + shutil.copy(db_path, backup_path) + else: + backup_path = None + + try: + command.upgrade(config, target_rev) + logging.info(f"Database upgraded from {current_rev} to {target_rev}") + except Exception as e: + if backup_path: + # Restore the database from backup if upgrade fails + shutil.copy(backup_path, db_path) + os.remove(backup_path) + logging.exception("Error upgrading database: ") + raise e + + global Session + Session = sessionmaker(bind=engine) + + +def create_session(): + return Session() diff --git a/app/database/models.py b/app/database/models.py new file mode 100644 index 0000000000000000000000000000000000000000..6facfb8f2b5e7382274021579a453ad3b7853bf7 --- /dev/null +++ b/app/database/models.py @@ -0,0 +1,14 @@ +from sqlalchemy.orm import declarative_base + +Base = declarative_base() + + +def to_dict(obj): + fields = obj.__table__.columns.keys() + return { + field: (val.to_dict() if hasattr(val, "to_dict") else val) + for field in fields + if (val := getattr(obj, field)) + } + +# TODO: Define models here diff --git a/app/frontend_management.py b/app/frontend_management.py new file mode 100644 index 0000000000000000000000000000000000000000..0bee73685b931bc1eddef79c7acafc2d0958098b --- /dev/null +++ b/app/frontend_management.py @@ -0,0 +1,361 @@ +from __future__ import annotations +import argparse +import logging +import os +import re +import sys +import tempfile +import zipfile +import importlib +from dataclasses import dataclass +from functools import cached_property +from pathlib import Path +from typing import TypedDict, Optional +from importlib.metadata import version + +import requests +from typing_extensions import NotRequired + +from utils.install_util import get_missing_requirements_message, requirements_path + +from comfy.cli_args import DEFAULT_VERSION_STRING +import app.logger + + +def frontend_install_warning_message(): + return f""" +{get_missing_requirements_message()} + +This error is happening because the ComfyUI frontend is no longer shipped as part of the main repo but as a pip package instead. +""".strip() + +def parse_version(version: str) -> tuple[int, int, int]: + return tuple(map(int, version.split("."))) + +def is_valid_version(version: str) -> bool: + """Validate if a string is a valid semantic version (X.Y.Z format).""" + pattern = r"^(\d+)\.(\d+)\.(\d+)$" + return bool(re.match(pattern, version)) + +def get_installed_frontend_version(): + """Get the currently installed frontend package version.""" + frontend_version_str = version("comfyui-frontend-package") + return frontend_version_str + +def get_required_frontend_version(): + """Get the required frontend version from requirements.txt.""" + try: + with open(requirements_path, "r", encoding="utf-8") as f: + for line in f: + line = line.strip() + if line.startswith("comfyui-frontend-package=="): + version_str = line.split("==")[-1] + if not is_valid_version(version_str): + logging.error(f"Invalid version format in requirements.txt: {version_str}") + return None + return version_str + logging.error("comfyui-frontend-package not found in requirements.txt") + return None + except FileNotFoundError: + logging.error("requirements.txt not found. Cannot determine required frontend version.") + return None + except Exception as e: + logging.error(f"Error reading requirements.txt: {e}") + return None + +def check_frontend_version(): + """Check if the frontend version is up to date.""" + + try: + frontend_version_str = get_installed_frontend_version() + frontend_version = parse_version(frontend_version_str) + required_frontend_str = get_required_frontend_version() + required_frontend = parse_version(required_frontend_str) + if frontend_version < required_frontend: + app.logger.log_startup_warning( + f""" +________________________________________________________________________ +WARNING WARNING WARNING WARNING WARNING + +Installed frontend version {".".join(map(str, frontend_version))} is lower than the recommended version {".".join(map(str, required_frontend))}. + +{frontend_install_warning_message()} +________________________________________________________________________ +""".strip() + ) + else: + logging.info("ComfyUI frontend version: {}".format(frontend_version_str)) + except Exception as e: + logging.error(f"Failed to check frontend version: {e}") + + +REQUEST_TIMEOUT = 10 # seconds + + +class Asset(TypedDict): + url: str + + +class Release(TypedDict): + id: int + tag_name: str + name: str + prerelease: bool + created_at: str + published_at: str + body: str + assets: NotRequired[list[Asset]] + + +@dataclass +class FrontEndProvider: + owner: str + repo: str + + @property + def folder_name(self) -> str: + return f"{self.owner}_{self.repo}" + + @property + def release_url(self) -> str: + return f"https://api.github.com/repos/{self.owner}/{self.repo}/releases" + + @cached_property + def all_releases(self) -> list[Release]: + releases = [] + api_url = self.release_url + while api_url: + response = requests.get(api_url, timeout=REQUEST_TIMEOUT) + response.raise_for_status() # Raises an HTTPError if the response was an error + releases.extend(response.json()) + # GitHub uses the Link header to provide pagination links. Check if it exists and update api_url accordingly. + if "next" in response.links: + api_url = response.links["next"]["url"] + else: + api_url = None + return releases + + @cached_property + def latest_release(self) -> Release: + latest_release_url = f"{self.release_url}/latest" + response = requests.get(latest_release_url, timeout=REQUEST_TIMEOUT) + response.raise_for_status() # Raises an HTTPError if the response was an error + return response.json() + + @cached_property + def latest_prerelease(self) -> Release: + """Get the latest pre-release version - even if it's older than the latest release""" + release = [release for release in self.all_releases if release["prerelease"]] + + if not release: + raise ValueError("No pre-releases found") + + # GitHub returns releases in reverse chronological order, so first is latest + return release[0] + + def get_release(self, version: str) -> Release: + if version == "latest": + return self.latest_release + elif version == "prerelease": + return self.latest_prerelease + else: + for release in self.all_releases: + if release["tag_name"] in [version, f"v{version}"]: + return release + raise ValueError(f"Version {version} not found in releases") + + +def download_release_asset_zip(release: Release, destination_path: str) -> None: + """Download dist.zip from github release.""" + asset_url = None + for asset in release.get("assets", []): + if asset["name"] == "dist.zip": + asset_url = asset["url"] + break + + if not asset_url: + raise ValueError("dist.zip not found in the release assets") + + # Use a temporary file to download the zip content + with tempfile.TemporaryFile() as tmp_file: + headers = {"Accept": "application/octet-stream"} + response = requests.get( + asset_url, headers=headers, allow_redirects=True, timeout=REQUEST_TIMEOUT + ) + response.raise_for_status() # Ensure we got a successful response + + # Write the content to the temporary file + tmp_file.write(response.content) + + # Go back to the beginning of the temporary file + tmp_file.seek(0) + + # Extract the zip file content to the destination path + with zipfile.ZipFile(tmp_file, "r") as zip_ref: + zip_ref.extractall(destination_path) + + +class FrontendManager: + CUSTOM_FRONTENDS_ROOT = str(Path(__file__).parents[1] / "web_custom_versions") + + @classmethod + def get_required_frontend_version(cls) -> str: + """Get the required frontend package version.""" + return get_required_frontend_version() + + @classmethod + def default_frontend_path(cls) -> str: + try: + import comfyui_frontend_package + + return str(importlib.resources.files(comfyui_frontend_package) / "static") + except ImportError: + logging.error( + f""" +********** ERROR *********** + +comfyui-frontend-package is not installed. + +{frontend_install_warning_message()} + +********** ERROR *********** +""".strip() + ) + sys.exit(-1) + + @classmethod + def templates_path(cls) -> str: + try: + import comfyui_workflow_templates + + return str( + importlib.resources.files(comfyui_workflow_templates) / "templates" + ) + except ImportError: + logging.error( + f""" +********** ERROR *********** + +comfyui-workflow-templates is not installed. + +{frontend_install_warning_message()} + +********** ERROR *********** +""".strip() + ) + + @classmethod + def embedded_docs_path(cls) -> str: + """Get the path to embedded documentation""" + try: + import comfyui_embedded_docs + + return str( + importlib.resources.files(comfyui_embedded_docs) / "docs" + ) + except ImportError: + logging.info("comfyui-embedded-docs package not found") + return None + + @classmethod + def parse_version_string(cls, value: str) -> tuple[str, str, str]: + """ + Args: + value (str): The version string to parse. + + Returns: + tuple[str, str]: A tuple containing provider name and version. + + Raises: + argparse.ArgumentTypeError: If the version string is invalid. + """ + VERSION_PATTERN = r"^([a-zA-Z0-9][a-zA-Z0-9-]{0,38})/([a-zA-Z0-9_.-]+)@(v?\d+\.\d+\.\d+[-._a-zA-Z0-9]*|latest|prerelease)$" + match_result = re.match(VERSION_PATTERN, value) + if match_result is None: + raise argparse.ArgumentTypeError(f"Invalid version string: {value}") + + return match_result.group(1), match_result.group(2), match_result.group(3) + + @classmethod + def init_frontend_unsafe( + cls, version_string: str, provider: Optional[FrontEndProvider] = None + ) -> str: + """ + Initializes the frontend for the specified version. + + Args: + version_string (str): The version string. + provider (FrontEndProvider, optional): The provider to use. Defaults to None. + + Returns: + str: The path to the initialized frontend. + + Raises: + Exception: If there is an error during the initialization process. + main error source might be request timeout or invalid URL. + """ + if version_string == DEFAULT_VERSION_STRING: + check_frontend_version() + return cls.default_frontend_path() + + repo_owner, repo_name, version = cls.parse_version_string(version_string) + + if version.startswith("v"): + expected_path = str( + Path(cls.CUSTOM_FRONTENDS_ROOT) + / f"{repo_owner}_{repo_name}" + / version.lstrip("v") + ) + if os.path.exists(expected_path): + logging.info( + f"Using existing copy of specific frontend version tag: {repo_owner}/{repo_name}@{version}" + ) + return expected_path + + logging.info( + f"Initializing frontend: {repo_owner}/{repo_name}@{version}, requesting version details from GitHub..." + ) + + provider = provider or FrontEndProvider(repo_owner, repo_name) + release = provider.get_release(version) + + semantic_version = release["tag_name"].lstrip("v") + web_root = str( + Path(cls.CUSTOM_FRONTENDS_ROOT) / provider.folder_name / semantic_version + ) + if not os.path.exists(web_root): + try: + os.makedirs(web_root, exist_ok=True) + logging.info( + "Downloading frontend(%s) version(%s) to (%s)", + provider.folder_name, + semantic_version, + web_root, + ) + logging.debug(release) + download_release_asset_zip(release, destination_path=web_root) + finally: + # Clean up the directory if it is empty, i.e. the download failed + if not os.listdir(web_root): + os.rmdir(web_root) + + return web_root + + @classmethod + def init_frontend(cls, version_string: str) -> str: + """ + Initializes the frontend with the specified version string. + + Args: + version_string (str): The version string to initialize the frontend with. + + Returns: + str: The path of the initialized frontend. + """ + try: + return cls.init_frontend_unsafe(version_string) + except Exception as e: + logging.error("Failed to initialize frontend: %s", e) + logging.info("Falling back to the default frontend.") + check_frontend_version() + return cls.default_frontend_path() diff --git a/app/logger.py b/app/logger.py new file mode 100644 index 0000000000000000000000000000000000000000..3d26d98fe28005a3ed8b6deb7da34823b98b5696 --- /dev/null +++ b/app/logger.py @@ -0,0 +1,98 @@ +from collections import deque +from datetime import datetime +import io +import logging +import sys +import threading + +logs = None +stdout_interceptor = None +stderr_interceptor = None + + +class LogInterceptor(io.TextIOWrapper): + def __init__(self, stream, *args, **kwargs): + buffer = stream.buffer + encoding = stream.encoding + super().__init__(buffer, *args, **kwargs, encoding=encoding, line_buffering=stream.line_buffering) + self._lock = threading.Lock() + self._flush_callbacks = [] + self._logs_since_flush = [] + + def write(self, data): + entry = {"t": datetime.now().isoformat(), "m": data} + with self._lock: + self._logs_since_flush.append(entry) + + # Simple handling for cr to overwrite the last output if it isnt a full line + # else logs just get full of progress messages + if isinstance(data, str) and data.startswith("\r") and not logs[-1]["m"].endswith("\n"): + logs.pop() + logs.append(entry) + super().write(data) + + def flush(self): + super().flush() + for cb in self._flush_callbacks: + cb(self._logs_since_flush) + self._logs_since_flush = [] + + def on_flush(self, callback): + self._flush_callbacks.append(callback) + + +def get_logs(): + return logs + + +def on_flush(callback): + if stdout_interceptor is not None: + stdout_interceptor.on_flush(callback) + if stderr_interceptor is not None: + stderr_interceptor.on_flush(callback) + +def setup_logger(log_level: str = 'INFO', capacity: int = 300, use_stdout: bool = False): + global logs + if logs: + return + + # Override output streams and log to buffer + logs = deque(maxlen=capacity) + + global stdout_interceptor + global stderr_interceptor + stdout_interceptor = sys.stdout = LogInterceptor(sys.stdout) + stderr_interceptor = sys.stderr = LogInterceptor(sys.stderr) + + # Setup default global logger + logger = logging.getLogger() + logger.setLevel(log_level) + + stream_handler = logging.StreamHandler() + stream_handler.setFormatter(logging.Formatter("%(message)s")) + + if use_stdout: + # Only errors and critical to stderr + stream_handler.addFilter(lambda record: not record.levelno < logging.ERROR) + + # Lesser to stdout + stdout_handler = logging.StreamHandler(sys.stdout) + stdout_handler.setFormatter(logging.Formatter("%(message)s")) + stdout_handler.addFilter(lambda record: record.levelno < logging.ERROR) + logger.addHandler(stdout_handler) + + logger.addHandler(stream_handler) + + +STARTUP_WARNINGS = [] + + +def log_startup_warning(msg): + logging.warning(msg) + STARTUP_WARNINGS.append(msg) + + +def print_startup_warnings(): + for s in STARTUP_WARNINGS: + logging.warning(s) + STARTUP_WARNINGS.clear() diff --git a/app/model_manager.py b/app/model_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..ab36bca7441468ef3683f39c16fc6cec85d9740a --- /dev/null +++ b/app/model_manager.py @@ -0,0 +1,195 @@ +from __future__ import annotations + +import os +import base64 +import json +import time +import logging +import folder_paths +import glob +import comfy.utils +from aiohttp import web +from PIL import Image +from io import BytesIO +from folder_paths import map_legacy, filter_files_extensions, filter_files_content_types + + +class ModelFileManager: + def __init__(self) -> None: + self.cache: dict[str, tuple[list[dict], dict[str, float], float]] = {} + + def get_cache(self, key: str, default=None) -> tuple[list[dict], dict[str, float], float] | None: + return self.cache.get(key, default) + + def set_cache(self, key: str, value: tuple[list[dict], dict[str, float], float]): + self.cache[key] = value + + def clear_cache(self): + self.cache.clear() + + def add_routes(self, routes): + # NOTE: This is an experiment to replace `/models` + @routes.get("/experiment/models") + async def get_model_folders(request): + model_types = list(folder_paths.folder_names_and_paths.keys()) + folder_black_list = ["configs", "custom_nodes"] + output_folders: list[dict] = [] + for folder in model_types: + if folder in folder_black_list: + continue + output_folders.append({"name": folder, "folders": folder_paths.get_folder_paths(folder)}) + return web.json_response(output_folders) + + # NOTE: This is an experiment to replace `/models/{folder}` + @routes.get("/experiment/models/{folder}") + async def get_all_models(request): + folder = request.match_info.get("folder", None) + if not folder in folder_paths.folder_names_and_paths: + return web.Response(status=404) + files = self.get_model_file_list(folder) + return web.json_response(files) + + @routes.get("/experiment/models/preview/{folder}/{path_index}/{filename:.*}") + async def get_model_preview(request): + folder_name = request.match_info.get("folder", None) + path_index = int(request.match_info.get("path_index", None)) + filename = request.match_info.get("filename", None) + + if not folder_name in folder_paths.folder_names_and_paths: + return web.Response(status=404) + + folders = folder_paths.folder_names_and_paths[folder_name] + folder = folders[0][path_index] + full_filename = os.path.join(folder, filename) + + previews = self.get_model_previews(full_filename) + default_preview = previews[0] if len(previews) > 0 else None + if default_preview is None or (isinstance(default_preview, str) and not os.path.isfile(default_preview)): + return web.Response(status=404) + + try: + with Image.open(default_preview) as img: + img_bytes = BytesIO() + img.save(img_bytes, format="WEBP") + img_bytes.seek(0) + return web.Response(body=img_bytes.getvalue(), content_type="image/webp") + except: + return web.Response(status=404) + + def get_model_file_list(self, folder_name: str): + folder_name = map_legacy(folder_name) + folders = folder_paths.folder_names_and_paths[folder_name] + output_list: list[dict] = [] + + for index, folder in enumerate(folders[0]): + if not os.path.isdir(folder): + continue + out = self.cache_model_file_list_(folder) + if out is None: + out = self.recursive_search_models_(folder, index) + self.set_cache(folder, out) + output_list.extend(out[0]) + + return output_list + + def cache_model_file_list_(self, folder: str): + model_file_list_cache = self.get_cache(folder) + + if model_file_list_cache is None: + return None + if not os.path.isdir(folder): + return None + if os.path.getmtime(folder) != model_file_list_cache[1]: + return None + for x in model_file_list_cache[1]: + time_modified = model_file_list_cache[1][x] + folder = x + if os.path.getmtime(folder) != time_modified: + return None + + return model_file_list_cache + + def recursive_search_models_(self, directory: str, pathIndex: int) -> tuple[list[str], dict[str, float], float]: + if not os.path.isdir(directory): + return [], {}, time.perf_counter() + + excluded_dir_names = [".git"] + # TODO use settings + include_hidden_files = False + + result: list[str] = [] + dirs: dict[str, float] = {} + + for dirpath, subdirs, filenames in os.walk(directory, followlinks=True, topdown=True): + subdirs[:] = [d for d in subdirs if d not in excluded_dir_names] + if not include_hidden_files: + subdirs[:] = [d for d in subdirs if not d.startswith(".")] + filenames = [f for f in filenames if not f.startswith(".")] + + filenames = filter_files_extensions(filenames, folder_paths.supported_pt_extensions) + + for file_name in filenames: + try: + full_path = os.path.join(dirpath, file_name) + relative_path = os.path.relpath(full_path, directory) + + # Get file metadata + file_info = { + "name": relative_path, + "pathIndex": pathIndex, + "modified": os.path.getmtime(full_path), # Add modification time + "created": os.path.getctime(full_path), # Add creation time + "size": os.path.getsize(full_path) # Add file size + } + result.append(file_info) + + except Exception as e: + logging.warning(f"Warning: Unable to access {file_name}. Error: {e}. Skipping this file.") + continue + + for d in subdirs: + path: str = os.path.join(dirpath, d) + try: + dirs[path] = os.path.getmtime(path) + except FileNotFoundError: + logging.warning(f"Warning: Unable to access {path}. Skipping this path.") + continue + + return result, dirs, time.perf_counter() + + def get_model_previews(self, filepath: str) -> list[str | BytesIO]: + dirname = os.path.dirname(filepath) + + if not os.path.exists(dirname): + return [] + + basename = os.path.splitext(filepath)[0] + match_files = glob.glob(f"{basename}.*", recursive=False) + image_files = filter_files_content_types(match_files, "image") + safetensors_file = next(filter(lambda x: x.endswith(".safetensors"), match_files), None) + safetensors_metadata = {} + + result: list[str | BytesIO] = [] + + for filename in image_files: + _basename = os.path.splitext(filename)[0] + if _basename == basename: + result.append(filename) + if _basename == f"{basename}.preview": + result.append(filename) + + if safetensors_file: + safetensors_filepath = os.path.join(dirname, safetensors_file) + header = comfy.utils.safetensors_header(safetensors_filepath, max_size=8*1024*1024) + if header: + safetensors_metadata = json.loads(header) + safetensors_images = safetensors_metadata.get("__metadata__", {}).get("ssmd_cover_images", None) + if safetensors_images: + safetensors_images = json.loads(safetensors_images) + for image in safetensors_images: + result.append(BytesIO(base64.b64decode(image))) + + return result + + def __exit__(self, exc_type, exc_value, traceback): + self.clear_cache() diff --git a/app/user_manager.py b/app/user_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..a2d376c0c4766b750fe6a1fd1558da4739f364dd --- /dev/null +++ b/app/user_manager.py @@ -0,0 +1,445 @@ +from __future__ import annotations +import json +import os +import re +import uuid +import glob +import shutil +import logging +from aiohttp import web +from urllib import parse +from comfy.cli_args import args +import folder_paths +from .app_settings import AppSettings +from typing import TypedDict + +default_user = "default" + + +class FileInfo(TypedDict): + path: str + size: int + modified: int + created: int + + +def get_file_info(path: str, relative_to: str) -> FileInfo: + return { + "path": os.path.relpath(path, relative_to).replace(os.sep, '/'), + "size": os.path.getsize(path), + "modified": os.path.getmtime(path), + "created": os.path.getctime(path) + } + + +class UserManager(): + def __init__(self): + user_directory = folder_paths.get_user_directory() + + self.settings = AppSettings(self) + if not os.path.exists(user_directory): + os.makedirs(user_directory, exist_ok=True) + if not args.multi_user: + logging.warning("****** User settings have been changed to be stored on the server instead of browser storage. ******") + logging.warning("****** For multi-user setups add the --multi-user CLI argument to enable multiple user profiles. ******") + + if args.multi_user: + if os.path.isfile(self.get_users_file()): + with open(self.get_users_file()) as f: + self.users = json.load(f) + else: + self.users = {} + else: + self.users = {"default": "default"} + + def get_users_file(self): + return os.path.join(folder_paths.get_user_directory(), "users.json") + + def get_request_user_id(self, request): + user = "default" + if args.multi_user and "comfy-user" in request.headers: + user = request.headers["comfy-user"] + + if user not in self.users: + raise KeyError("Unknown user: " + user) + + return user + + def get_request_user_filepath(self, request, file, type="userdata", create_dir=True): + user_directory = folder_paths.get_user_directory() + + if type == "userdata": + root_dir = user_directory + else: + raise KeyError("Unknown filepath type:" + type) + + user = self.get_request_user_id(request) + path = user_root = os.path.abspath(os.path.join(root_dir, user)) + + # prevent leaving /{type} + if os.path.commonpath((root_dir, user_root)) != root_dir: + return None + + if file is not None: + # Check if filename is url encoded + if "%" in file: + file = parse.unquote(file) + + # prevent leaving /{type}/{user} + path = os.path.abspath(os.path.join(user_root, file)) + if os.path.commonpath((user_root, path)) != user_root: + return None + + parent = os.path.split(path)[0] + + if create_dir and not os.path.exists(parent): + os.makedirs(parent, exist_ok=True) + + return path + + def add_user(self, name): + name = name.strip() + if not name: + raise ValueError("username not provided") + user_id = re.sub("[^a-zA-Z0-9-_]+", '-', name) + user_id = user_id + "_" + str(uuid.uuid4()) + + self.users[user_id] = name + + with open(self.get_users_file(), "w") as f: + json.dump(self.users, f) + + return user_id + + def add_routes(self, routes): + self.settings.add_routes(routes) + + @routes.get("/users") + async def get_users(request): + if args.multi_user: + return web.json_response({"storage": "server", "users": self.users}) + else: + user_dir = self.get_request_user_filepath(request, None, create_dir=False) + return web.json_response({ + "storage": "server", + "migrated": os.path.exists(user_dir) + }) + + @routes.post("/users") + async def post_users(request): + body = await request.json() + username = body["username"] + if username in self.users.values(): + return web.json_response({"error": "Duplicate username."}, status=400) + + user_id = self.add_user(username) + return web.json_response(user_id) + + @routes.get("/userdata") + async def listuserdata(request): + """ + List user data files in a specified directory. + + This endpoint allows listing files in a user's data directory, with options for recursion, + full file information, and path splitting. + + Query Parameters: + - dir (required): The directory to list files from. + - recurse (optional): If "true", recursively list files in subdirectories. + - full_info (optional): If "true", return detailed file information (path, size, modified time). + - split (optional): If "true", split file paths into components (only applies when full_info is false). + + Returns: + - 400: If 'dir' parameter is missing. + - 403: If the requested path is not allowed. + - 404: If the requested directory does not exist. + - 200: JSON response with the list of files or file information. + + The response format depends on the query parameters: + - Default: List of relative file paths. + - full_info=true: List of dictionaries with file details. + - split=true (and full_info=false): List of lists, each containing path components. + """ + directory = request.rel_url.query.get('dir', '') + if not directory: + return web.Response(status=400, text="Directory not provided") + + path = self.get_request_user_filepath(request, directory) + if not path: + return web.Response(status=403, text="Invalid directory") + + if not os.path.exists(path): + return web.Response(status=404, text="Directory not found") + + recurse = request.rel_url.query.get('recurse', '').lower() == "true" + full_info = request.rel_url.query.get('full_info', '').lower() == "true" + split_path = request.rel_url.query.get('split', '').lower() == "true" + + # Use different patterns based on whether we're recursing or not + if recurse: + pattern = os.path.join(glob.escape(path), '**', '*') + else: + pattern = os.path.join(glob.escape(path), '*') + + def process_full_path(full_path: str) -> FileInfo | str | list[str]: + if full_info: + return get_file_info(full_path, path) + + rel_path = os.path.relpath(full_path, path).replace(os.sep, '/') + if split_path: + return [rel_path] + rel_path.split('/') + + return rel_path + + results = [ + process_full_path(full_path) + for full_path in glob.glob(pattern, recursive=recurse) + if os.path.isfile(full_path) + ] + + return web.json_response(results) + + @routes.get("/v2/userdata") + async def list_userdata_v2(request): + """ + List files and directories in a user's data directory. + + This endpoint provides a structured listing of contents within a specified + subdirectory of the user's data storage. + + Query Parameters: + - path (optional): The relative path within the user's data directory + to list. Defaults to the root (''). + + Returns: + - 400: If the requested path is invalid, outside the user's data directory, or is not a directory. + - 404: If the requested path does not exist. + - 403: If the user is invalid. + - 500: If there is an error reading the directory contents. + - 200: JSON response containing a list of file and directory objects. + Each object includes: + - name: The name of the file or directory. + - type: 'file' or 'directory'. + - path: The relative path from the user's data root. + - size (for files): The size in bytes. + - modified (for files): The last modified timestamp (Unix epoch). + """ + requested_rel_path = request.rel_url.query.get('path', '') + + # URL-decode the path parameter + try: + requested_rel_path = parse.unquote(requested_rel_path) + except Exception as e: + logging.warning(f"Failed to decode path parameter: {requested_rel_path}, Error: {e}") + return web.Response(status=400, text="Invalid characters in path parameter") + + + # Check user validity and get the absolute path for the requested directory + try: + base_user_path = self.get_request_user_filepath(request, None, create_dir=False) + + if requested_rel_path: + target_abs_path = self.get_request_user_filepath(request, requested_rel_path, create_dir=False) + else: + target_abs_path = base_user_path + + except KeyError as e: + # Invalid user detected by get_request_user_id inside get_request_user_filepath + logging.warning(f"Access denied for user: {e}") + return web.Response(status=403, text="Invalid user specified in request") + + + if not target_abs_path: + # Path traversal or other issue detected by get_request_user_filepath + return web.Response(status=400, text="Invalid path requested") + + # Handle cases where the user directory or target path doesn't exist + if not os.path.exists(target_abs_path): + # Check if it's the base user directory that's missing (new user case) + if target_abs_path == base_user_path: + # It's okay if the base user directory doesn't exist yet, return empty list + return web.json_response([]) + else: + # A specific subdirectory was requested but doesn't exist + return web.Response(status=404, text="Requested path not found") + + if not os.path.isdir(target_abs_path): + return web.Response(status=400, text="Requested path is not a directory") + + results = [] + try: + for root, dirs, files in os.walk(target_abs_path, topdown=True): + # Process directories + for dir_name in dirs: + dir_path = os.path.join(root, dir_name) + rel_path = os.path.relpath(dir_path, base_user_path).replace(os.sep, '/') + results.append({ + "name": dir_name, + "path": rel_path, + "type": "directory" + }) + + # Process files + for file_name in files: + file_path = os.path.join(root, file_name) + rel_path = os.path.relpath(file_path, base_user_path).replace(os.sep, '/') + entry_info = { + "name": file_name, + "path": rel_path, + "type": "file" + } + try: + stats = os.stat(file_path) # Use os.stat for potentially better performance with os.walk + entry_info["size"] = stats.st_size + entry_info["modified"] = stats.st_mtime + except OSError as stat_error: + logging.warning(f"Could not stat file {file_path}: {stat_error}") + pass # Include file with available info + results.append(entry_info) + except OSError as e: + logging.error(f"Error listing directory {target_abs_path}: {e}") + return web.Response(status=500, text="Error reading directory contents") + + # Sort results alphabetically, directories first then files + results.sort(key=lambda x: (x['type'] != 'directory', x['name'].lower())) + + return web.json_response(results) + + def get_user_data_path(request, check_exists = False, param = "file"): + file = request.match_info.get(param, None) + if not file: + return web.Response(status=400) + + path = self.get_request_user_filepath(request, file) + if not path: + return web.Response(status=403) + + if check_exists and not os.path.exists(path): + return web.Response(status=404) + + return path + + @routes.get("/userdata/{file}") + async def getuserdata(request): + path = get_user_data_path(request, check_exists=True) + if not isinstance(path, str): + return path + + return web.FileResponse(path) + + @routes.post("/userdata/{file}") + async def post_userdata(request): + """ + Upload or update a user data file. + + This endpoint handles file uploads to a user's data directory, with options for + controlling overwrite behavior and response format. + + Query Parameters: + - overwrite (optional): If "false", prevents overwriting existing files. Defaults to "true". + - full_info (optional): If "true", returns detailed file information (path, size, modified time). + If "false", returns only the relative file path. + + Path Parameters: + - file: The target file path (URL encoded if necessary). + + Returns: + - 400: If 'file' parameter is missing. + - 403: If the requested path is not allowed. + - 409: If overwrite=false and the file already exists. + - 200: JSON response with either: + - Full file information (if full_info=true) + - Relative file path (if full_info=false) + + The request body should contain the raw file content to be written. + """ + path = get_user_data_path(request) + if not isinstance(path, str): + return path + + overwrite = request.query.get("overwrite", 'true') != "false" + full_info = request.query.get('full_info', 'false').lower() == "true" + + if not overwrite and os.path.exists(path): + return web.Response(status=409, text="File already exists") + + try: + body = await request.read() + + with open(path, "wb") as f: + f.write(body) + except OSError as e: + logging.warning(f"Error saving file '{path}': {e}") + return web.Response( + status=400, + reason="Invalid filename. Please avoid special characters like :\\/*?\"<>|" + ) + + user_path = self.get_request_user_filepath(request, None) + if full_info: + resp = get_file_info(path, user_path) + else: + resp = os.path.relpath(path, user_path) + + return web.json_response(resp) + + @routes.delete("/userdata/{file}") + async def delete_userdata(request): + path = get_user_data_path(request, check_exists=True) + if not isinstance(path, str): + return path + + os.remove(path) + + return web.Response(status=204) + + @routes.post("/userdata/{file}/move/{dest}") + async def move_userdata(request): + """ + Move or rename a user data file. + + This endpoint handles moving or renaming files within a user's data directory, with options for + controlling overwrite behavior and response format. + + Path Parameters: + - file: The source file path (URL encoded if necessary) + - dest: The destination file path (URL encoded if necessary) + + Query Parameters: + - overwrite (optional): If "false", prevents overwriting existing files. Defaults to "true". + - full_info (optional): If "true", returns detailed file information (path, size, modified time). + If "false", returns only the relative file path. + + Returns: + - 400: If either 'file' or 'dest' parameter is missing + - 403: If either requested path is not allowed + - 404: If the source file does not exist + - 409: If overwrite=false and the destination file already exists + - 200: JSON response with either: + - Full file information (if full_info=true) + - Relative file path (if full_info=false) + """ + source = get_user_data_path(request, check_exists=True) + if not isinstance(source, str): + return source + + dest = get_user_data_path(request, check_exists=False, param="dest") + if not isinstance(source, str): + return dest + + overwrite = request.query.get("overwrite", 'true') != "false" + full_info = request.query.get('full_info', 'false').lower() == "true" + + if not overwrite and os.path.exists(dest): + return web.Response(status=409, text="File already exists") + + logging.info(f"moving '{source}' -> '{dest}'") + shutil.move(source, dest) + + user_path = self.get_request_user_filepath(request, None) + if full_info: + resp = get_file_info(dest, user_path) + else: + resp = os.path.relpath(dest, user_path) + + return web.json_response(resp) diff --git a/comfy/audio_encoders/audio_encoders.py b/comfy/audio_encoders/audio_encoders.py new file mode 100644 index 0000000000000000000000000000000000000000..0550b2f9bc44661c723e8dafad2436bab2317b64 --- /dev/null +++ b/comfy/audio_encoders/audio_encoders.py @@ -0,0 +1,90 @@ +from .wav2vec2 import Wav2Vec2Model +from .whisper import WhisperLargeV3 +import comfy.model_management +import comfy.ops +import comfy.utils +import logging +import torchaudio + + +class AudioEncoderModel(): + def __init__(self, config): + self.load_device = comfy.model_management.text_encoder_device() + offload_device = comfy.model_management.text_encoder_offload_device() + self.dtype = comfy.model_management.text_encoder_dtype(self.load_device) + model_type = config.pop("model_type") + model_config = dict(config) + model_config.update({ + "dtype": self.dtype, + "device": offload_device, + "operations": comfy.ops.manual_cast + }) + + if model_type == "wav2vec2": + self.model = Wav2Vec2Model(**model_config) + elif model_type == "whisper3": + self.model = WhisperLargeV3(**model_config) + self.model.eval() + self.patcher = comfy.model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device) + self.model_sample_rate = 16000 + + def load_sd(self, sd): + return self.model.load_state_dict(sd, strict=False) + + def get_sd(self): + return self.model.state_dict() + + def encode_audio(self, audio, sample_rate): + comfy.model_management.load_model_gpu(self.patcher) + audio = torchaudio.functional.resample(audio, sample_rate, self.model_sample_rate) + out, all_layers = self.model(audio.to(self.load_device)) + outputs = {} + outputs["encoded_audio"] = out + outputs["encoded_audio_all_layers"] = all_layers + return outputs + + +def load_audio_encoder_from_sd(sd, prefix=""): + sd = comfy.utils.state_dict_prefix_replace(sd, {"wav2vec2.": ""}) + if "encoder.layer_norm.bias" in sd: #wav2vec2 + embed_dim = sd["encoder.layer_norm.bias"].shape[0] + if embed_dim == 1024:# large + config = { + "model_type": "wav2vec2", + "embed_dim": 1024, + "num_heads": 16, + "num_layers": 24, + "conv_norm": True, + "conv_bias": True, + "do_normalize": True, + "do_stable_layer_norm": True + } + elif embed_dim == 768: # base + config = { + "model_type": "wav2vec2", + "embed_dim": 768, + "num_heads": 12, + "num_layers": 12, + "conv_norm": False, + "conv_bias": False, + "do_normalize": False, # chinese-wav2vec2-base has this False + "do_stable_layer_norm": False + } + else: + raise RuntimeError("ERROR: audio encoder file is invalid or unsupported embed_dim: {}".format(embed_dim)) + elif "model.encoder.embed_positions.weight" in sd: + sd = comfy.utils.state_dict_prefix_replace(sd, {"model.": ""}) + config = { + "model_type": "whisper3", + } + else: + raise RuntimeError("ERROR: audio encoder not supported.") + + audio_encoder = AudioEncoderModel(config) + m, u = audio_encoder.load_sd(sd) + if len(m) > 0: + logging.warning("missing audio encoder: {}".format(m)) + if len(u) > 0: + logging.warning("unexpected audio encoder: {}".format(u)) + + return audio_encoder diff --git a/comfy/audio_encoders/wav2vec2.py b/comfy/audio_encoders/wav2vec2.py new file mode 100644 index 0000000000000000000000000000000000000000..4e34a40a7f38b56a31a4512dea4c013a3b1c7843 --- /dev/null +++ b/comfy/audio_encoders/wav2vec2.py @@ -0,0 +1,252 @@ +import torch +import torch.nn as nn +from comfy.ldm.modules.attention import optimized_attention_masked + + +class LayerNormConv(nn.Module): + def __init__(self, in_channels, out_channels, kernel_size, stride, bias=False, dtype=None, device=None, operations=None): + super().__init__() + self.conv = operations.Conv1d(in_channels, out_channels, kernel_size=kernel_size, stride=stride, bias=bias, device=device, dtype=dtype) + self.layer_norm = operations.LayerNorm(out_channels, elementwise_affine=True, device=device, dtype=dtype) + + def forward(self, x): + x = self.conv(x) + return torch.nn.functional.gelu(self.layer_norm(x.transpose(-2, -1)).transpose(-2, -1)) + +class LayerGroupNormConv(nn.Module): + def __init__(self, in_channels, out_channels, kernel_size, stride, bias=False, dtype=None, device=None, operations=None): + super().__init__() + self.conv = operations.Conv1d(in_channels, out_channels, kernel_size=kernel_size, stride=stride, bias=bias, device=device, dtype=dtype) + self.layer_norm = operations.GroupNorm(num_groups=out_channels, num_channels=out_channels, affine=True, device=device, dtype=dtype) + + def forward(self, x): + x = self.conv(x) + return torch.nn.functional.gelu(self.layer_norm(x)) + +class ConvNoNorm(nn.Module): + def __init__(self, in_channels, out_channels, kernel_size, stride, bias=False, dtype=None, device=None, operations=None): + super().__init__() + self.conv = operations.Conv1d(in_channels, out_channels, kernel_size=kernel_size, stride=stride, bias=bias, device=device, dtype=dtype) + + def forward(self, x): + x = self.conv(x) + return torch.nn.functional.gelu(x) + + +class ConvFeatureEncoder(nn.Module): + def __init__(self, conv_dim, conv_bias=False, conv_norm=True, dtype=None, device=None, operations=None): + super().__init__() + if conv_norm: + self.conv_layers = nn.ModuleList([ + LayerNormConv(1, conv_dim, kernel_size=10, stride=5, bias=True, device=device, dtype=dtype, operations=operations), + LayerNormConv(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + LayerNormConv(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + LayerNormConv(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + LayerNormConv(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + LayerNormConv(conv_dim, conv_dim, kernel_size=2, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + LayerNormConv(conv_dim, conv_dim, kernel_size=2, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ]) + else: + self.conv_layers = nn.ModuleList([ + LayerGroupNormConv(1, conv_dim, kernel_size=10, stride=5, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ConvNoNorm(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ConvNoNorm(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ConvNoNorm(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ConvNoNorm(conv_dim, conv_dim, kernel_size=3, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ConvNoNorm(conv_dim, conv_dim, kernel_size=2, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ConvNoNorm(conv_dim, conv_dim, kernel_size=2, stride=2, bias=conv_bias, device=device, dtype=dtype, operations=operations), + ]) + + def forward(self, x): + x = x.unsqueeze(1) + + for conv in self.conv_layers: + x = conv(x) + + return x.transpose(1, 2) + + +class FeatureProjection(nn.Module): + def __init__(self, conv_dim, embed_dim, dtype=None, device=None, operations=None): + super().__init__() + self.layer_norm = operations.LayerNorm(conv_dim, eps=1e-05, device=device, dtype=dtype) + self.projection = operations.Linear(conv_dim, embed_dim, device=device, dtype=dtype) + + def forward(self, x): + x = self.layer_norm(x) + x = self.projection(x) + return x + + +class PositionalConvEmbedding(nn.Module): + def __init__(self, embed_dim=768, kernel_size=128, groups=16): + super().__init__() + self.conv = nn.Conv1d( + embed_dim, + embed_dim, + kernel_size=kernel_size, + padding=kernel_size // 2, + groups=groups, + ) + self.conv = torch.nn.utils.parametrizations.weight_norm(self.conv, name="weight", dim=2) + self.activation = nn.GELU() + + def forward(self, x): + x = x.transpose(1, 2) + x = self.conv(x)[:, :, :-1] + x = self.activation(x) + x = x.transpose(1, 2) + return x + + +class TransformerEncoder(nn.Module): + def __init__( + self, + embed_dim=768, + num_heads=12, + num_layers=12, + mlp_ratio=4.0, + do_stable_layer_norm=True, + dtype=None, device=None, operations=None + ): + super().__init__() + + self.pos_conv_embed = PositionalConvEmbedding(embed_dim=embed_dim) + self.layers = nn.ModuleList([ + TransformerEncoderLayer( + embed_dim=embed_dim, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + do_stable_layer_norm=do_stable_layer_norm, + device=device, dtype=dtype, operations=operations + ) + for _ in range(num_layers) + ]) + + self.layer_norm = operations.LayerNorm(embed_dim, eps=1e-05, device=device, dtype=dtype) + self.do_stable_layer_norm = do_stable_layer_norm + + def forward(self, x, mask=None): + x = x + self.pos_conv_embed(x) + all_x = () + if not self.do_stable_layer_norm: + x = self.layer_norm(x) + for layer in self.layers: + all_x += (x,) + x = layer(x, mask) + if self.do_stable_layer_norm: + x = self.layer_norm(x) + all_x += (x,) + return x, all_x + + +class Attention(nn.Module): + def __init__(self, embed_dim, num_heads, bias=True, dtype=None, device=None, operations=None): + super().__init__() + self.embed_dim = embed_dim + self.num_heads = num_heads + self.head_dim = embed_dim // num_heads + + self.k_proj = operations.Linear(embed_dim, embed_dim, bias=bias, device=device, dtype=dtype) + self.v_proj = operations.Linear(embed_dim, embed_dim, bias=bias, device=device, dtype=dtype) + self.q_proj = operations.Linear(embed_dim, embed_dim, bias=bias, device=device, dtype=dtype) + self.out_proj = operations.Linear(embed_dim, embed_dim, bias=bias, device=device, dtype=dtype) + + def forward(self, x, mask=None): + assert (mask is None) # TODO? + q = self.q_proj(x) + k = self.k_proj(x) + v = self.v_proj(x) + + out = optimized_attention_masked(q, k, v, self.num_heads) + return self.out_proj(out) + + +class FeedForward(nn.Module): + def __init__(self, embed_dim, mlp_ratio, dtype=None, device=None, operations=None): + super().__init__() + self.intermediate_dense = operations.Linear(embed_dim, int(embed_dim * mlp_ratio), device=device, dtype=dtype) + self.output_dense = operations.Linear(int(embed_dim * mlp_ratio), embed_dim, device=device, dtype=dtype) + + def forward(self, x): + x = self.intermediate_dense(x) + x = torch.nn.functional.gelu(x) + x = self.output_dense(x) + return x + + +class TransformerEncoderLayer(nn.Module): + def __init__( + self, + embed_dim=768, + num_heads=12, + mlp_ratio=4.0, + do_stable_layer_norm=True, + dtype=None, device=None, operations=None + ): + super().__init__() + + self.attention = Attention(embed_dim, num_heads, device=device, dtype=dtype, operations=operations) + + self.layer_norm = operations.LayerNorm(embed_dim, device=device, dtype=dtype) + self.feed_forward = FeedForward(embed_dim, mlp_ratio, device=device, dtype=dtype, operations=operations) + self.final_layer_norm = operations.LayerNorm(embed_dim, device=device, dtype=dtype) + self.do_stable_layer_norm = do_stable_layer_norm + + def forward(self, x, mask=None): + residual = x + if self.do_stable_layer_norm: + x = self.layer_norm(x) + x = self.attention(x, mask=mask) + x = residual + x + if not self.do_stable_layer_norm: + x = self.layer_norm(x) + return self.final_layer_norm(x + self.feed_forward(x)) + else: + return x + self.feed_forward(self.final_layer_norm(x)) + + +class Wav2Vec2Model(nn.Module): + """Complete Wav2Vec 2.0 model.""" + + def __init__( + self, + embed_dim=1024, + final_dim=256, + num_heads=16, + num_layers=24, + conv_norm=True, + conv_bias=True, + do_normalize=True, + do_stable_layer_norm=True, + dtype=None, device=None, operations=None + ): + super().__init__() + + conv_dim = 512 + self.feature_extractor = ConvFeatureEncoder(conv_dim, conv_norm=conv_norm, conv_bias=conv_bias, device=device, dtype=dtype, operations=operations) + self.feature_projection = FeatureProjection(conv_dim, embed_dim, device=device, dtype=dtype, operations=operations) + + self.masked_spec_embed = nn.Parameter(torch.empty(embed_dim, device=device, dtype=dtype)) + self.do_normalize = do_normalize + + self.encoder = TransformerEncoder( + embed_dim=embed_dim, + num_heads=num_heads, + num_layers=num_layers, + do_stable_layer_norm=do_stable_layer_norm, + device=device, dtype=dtype, operations=operations + ) + + def forward(self, x, mask_time_indices=None, return_dict=False): + x = torch.mean(x, dim=1) + + if self.do_normalize: + x = (x - x.mean()) / torch.sqrt(x.var() + 1e-7) + + features = self.feature_extractor(x) + features = self.feature_projection(features) + batch_size, seq_len, _ = features.shape + + x, all_x = self.encoder(features) + return x, all_x diff --git a/comfy/audio_encoders/whisper.py b/comfy/audio_encoders/whisper.py new file mode 100644 index 0000000000000000000000000000000000000000..93d3782f14b5256d4d1bdfc443c12c4720a6b224 --- /dev/null +++ b/comfy/audio_encoders/whisper.py @@ -0,0 +1,186 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +import torchaudio +from typing import Optional +from comfy.ldm.modules.attention import optimized_attention_masked +import comfy.ops + +class WhisperFeatureExtractor(nn.Module): + def __init__(self, n_mels=128, device=None): + super().__init__() + self.sample_rate = 16000 + self.n_fft = 400 + self.hop_length = 160 + self.n_mels = n_mels + self.chunk_length = 30 + self.n_samples = 480000 + + self.mel_spectrogram = torchaudio.transforms.MelSpectrogram( + sample_rate=self.sample_rate, + n_fft=self.n_fft, + hop_length=self.hop_length, + n_mels=self.n_mels, + f_min=0, + f_max=8000, + norm="slaney", + mel_scale="slaney", + ).to(device) + + def __call__(self, audio): + audio = torch.mean(audio, dim=1) + batch_size = audio.shape[0] + processed_audio = [] + + for i in range(batch_size): + aud = audio[i] + if aud.shape[0] > self.n_samples: + aud = aud[:self.n_samples] + elif aud.shape[0] < self.n_samples: + aud = F.pad(aud, (0, self.n_samples - aud.shape[0])) + processed_audio.append(aud) + + audio = torch.stack(processed_audio) + + mel_spec = self.mel_spectrogram(audio.to(self.mel_spectrogram.spectrogram.window.device))[:, :, :-1].to(audio.device) + + log_mel_spec = torch.clamp(mel_spec, min=1e-10).log10() + log_mel_spec = torch.maximum(log_mel_spec, log_mel_spec.max() - 8.0) + log_mel_spec = (log_mel_spec + 4.0) / 4.0 + + return log_mel_spec + + +class MultiHeadAttention(nn.Module): + def __init__(self, d_model: int, n_heads: int, dtype=None, device=None, operations=None): + super().__init__() + assert d_model % n_heads == 0 + + self.d_model = d_model + self.n_heads = n_heads + self.d_k = d_model // n_heads + + self.q_proj = operations.Linear(d_model, d_model, dtype=dtype, device=device) + self.k_proj = operations.Linear(d_model, d_model, bias=False, dtype=dtype, device=device) + self.v_proj = operations.Linear(d_model, d_model, dtype=dtype, device=device) + self.out_proj = operations.Linear(d_model, d_model, dtype=dtype, device=device) + + def forward( + self, + query: torch.Tensor, + key: torch.Tensor, + value: torch.Tensor, + mask: Optional[torch.Tensor] = None, + ) -> torch.Tensor: + batch_size, seq_len, _ = query.shape + + q = self.q_proj(query) + k = self.k_proj(key) + v = self.v_proj(value) + + attn_output = optimized_attention_masked(q, k, v, self.n_heads, mask) + attn_output = self.out_proj(attn_output) + + return attn_output + + +class EncoderLayer(nn.Module): + def __init__(self, d_model: int, n_heads: int, d_ff: int, dtype=None, device=None, operations=None): + super().__init__() + + self.self_attn = MultiHeadAttention(d_model, n_heads, dtype=dtype, device=device, operations=operations) + self.self_attn_layer_norm = operations.LayerNorm(d_model, dtype=dtype, device=device) + + self.fc1 = operations.Linear(d_model, d_ff, dtype=dtype, device=device) + self.fc2 = operations.Linear(d_ff, d_model, dtype=dtype, device=device) + self.final_layer_norm = operations.LayerNorm(d_model, dtype=dtype, device=device) + + def forward( + self, + x: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None + ) -> torch.Tensor: + residual = x + x = self.self_attn_layer_norm(x) + x = self.self_attn(x, x, x, attention_mask) + x = residual + x + + residual = x + x = self.final_layer_norm(x) + x = self.fc1(x) + x = F.gelu(x) + x = self.fc2(x) + x = residual + x + + return x + + +class AudioEncoder(nn.Module): + def __init__( + self, + n_mels: int = 128, + n_ctx: int = 1500, + n_state: int = 1280, + n_head: int = 20, + n_layer: int = 32, + dtype=None, + device=None, + operations=None + ): + super().__init__() + + self.conv1 = operations.Conv1d(n_mels, n_state, kernel_size=3, padding=1, dtype=dtype, device=device) + self.conv2 = operations.Conv1d(n_state, n_state, kernel_size=3, stride=2, padding=1, dtype=dtype, device=device) + + self.embed_positions = operations.Embedding(n_ctx, n_state, dtype=dtype, device=device) + + self.layers = nn.ModuleList([ + EncoderLayer(n_state, n_head, n_state * 4, dtype=dtype, device=device, operations=operations) + for _ in range(n_layer) + ]) + + self.layer_norm = operations.LayerNorm(n_state, dtype=dtype, device=device) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = F.gelu(self.conv1(x)) + x = F.gelu(self.conv2(x)) + + x = x.transpose(1, 2) + + x = x + comfy.ops.cast_to_input(self.embed_positions.weight[:, :x.shape[1]], x) + + all_x = () + for layer in self.layers: + all_x += (x,) + x = layer(x) + + x = self.layer_norm(x) + all_x += (x,) + return x, all_x + + +class WhisperLargeV3(nn.Module): + def __init__( + self, + n_mels: int = 128, + n_audio_ctx: int = 1500, + n_audio_state: int = 1280, + n_audio_head: int = 20, + n_audio_layer: int = 32, + dtype=None, + device=None, + operations=None + ): + super().__init__() + + self.feature_extractor = WhisperFeatureExtractor(n_mels=n_mels, device=device) + + self.encoder = AudioEncoder( + n_mels, n_audio_ctx, n_audio_state, n_audio_head, n_audio_layer, + dtype=dtype, device=device, operations=operations + ) + + def forward(self, audio): + mel = self.feature_extractor(audio) + x, all_x = self.encoder(mel) + return x, all_x diff --git a/comfy/checkpoint_pickle.py b/comfy/checkpoint_pickle.py new file mode 100644 index 0000000000000000000000000000000000000000..206551d3c1cf0d654c907534629a800196ba138b --- /dev/null +++ b/comfy/checkpoint_pickle.py @@ -0,0 +1,13 @@ +import pickle + +load = pickle.load + +class Empty: + pass + +class Unpickler(pickle.Unpickler): + def find_class(self, module, name): + #TODO: safe unpickle + if module.startswith("pytorch_lightning"): + return Empty + return super().find_class(module, name) diff --git a/comfy/cldm/cldm.py b/comfy/cldm/cldm.py new file mode 100644 index 0000000000000000000000000000000000000000..ec01665e2181d4aea1c9cbb5b95bdc7715a3e8a8 --- /dev/null +++ b/comfy/cldm/cldm.py @@ -0,0 +1,433 @@ +#taken from: https://github.com/lllyasviel/ControlNet +#and modified + +import torch +import torch.nn as nn + +from ..ldm.modules.diffusionmodules.util import ( + timestep_embedding, +) + +from ..ldm.modules.attention import SpatialTransformer +from ..ldm.modules.diffusionmodules.openaimodel import UNetModel, TimestepEmbedSequential, ResBlock, Downsample +from ..ldm.util import exists +from .control_types import UNION_CONTROLNET_TYPES +from collections import OrderedDict +import comfy.ops +from comfy.ldm.modules.attention import optimized_attention + +class OptimizedAttention(nn.Module): + def __init__(self, c, nhead, dropout=0.0, dtype=None, device=None, operations=None): + super().__init__() + self.heads = nhead + self.c = c + + self.in_proj = operations.Linear(c, c * 3, bias=True, dtype=dtype, device=device) + self.out_proj = operations.Linear(c, c, bias=True, dtype=dtype, device=device) + + def forward(self, x): + x = self.in_proj(x) + q, k, v = x.split(self.c, dim=2) + out = optimized_attention(q, k, v, self.heads) + return self.out_proj(out) + +class QuickGELU(nn.Module): + def forward(self, x: torch.Tensor): + return x * torch.sigmoid(1.702 * x) + +class ResBlockUnionControlnet(nn.Module): + def __init__(self, dim, nhead, dtype=None, device=None, operations=None): + super().__init__() + self.attn = OptimizedAttention(dim, nhead, dtype=dtype, device=device, operations=operations) + self.ln_1 = operations.LayerNorm(dim, dtype=dtype, device=device) + self.mlp = nn.Sequential( + OrderedDict([("c_fc", operations.Linear(dim, dim * 4, dtype=dtype, device=device)), ("gelu", QuickGELU()), + ("c_proj", operations.Linear(dim * 4, dim, dtype=dtype, device=device))])) + self.ln_2 = operations.LayerNorm(dim, dtype=dtype, device=device) + + def attention(self, x: torch.Tensor): + return self.attn(x) + + def forward(self, x: torch.Tensor): + x = x + self.attention(self.ln_1(x)) + x = x + self.mlp(self.ln_2(x)) + return x + +class ControlledUnetModel(UNetModel): + #implemented in the ldm unet + pass + +class ControlNet(nn.Module): + def __init__( + self, + image_size, + in_channels, + model_channels, + hint_channels, + num_res_blocks, + dropout=0, + channel_mult=(1, 2, 4, 8), + conv_resample=True, + dims=2, + num_classes=None, + use_checkpoint=False, + dtype=torch.float32, + num_heads=-1, + num_head_channels=-1, + num_heads_upsample=-1, + use_scale_shift_norm=False, + resblock_updown=False, + use_new_attention_order=False, + use_spatial_transformer=False, # custom transformer support + transformer_depth=1, # custom transformer support + context_dim=None, # custom transformer support + n_embed=None, # custom support for prediction of discrete ids into codebook of first stage vq model + legacy=True, + disable_self_attentions=None, + num_attention_blocks=None, + disable_middle_self_attn=False, + use_linear_in_transformer=False, + adm_in_channels=None, + transformer_depth_middle=None, + transformer_depth_output=None, + attn_precision=None, + union_controlnet_num_control_type=None, + device=None, + operations=comfy.ops.disable_weight_init, + **kwargs, + ): + super().__init__() + assert use_spatial_transformer == True, "use_spatial_transformer has to be true" + if use_spatial_transformer: + assert context_dim is not None, 'Fool!! You forgot to include the dimension of your cross-attention conditioning...' + + if context_dim is not None: + assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...' + # from omegaconf.listconfig import ListConfig + # if type(context_dim) == ListConfig: + # context_dim = list(context_dim) + + if num_heads_upsample == -1: + num_heads_upsample = num_heads + + if num_heads == -1: + assert num_head_channels != -1, 'Either num_heads or num_head_channels has to be set' + + if num_head_channels == -1: + assert num_heads != -1, 'Either num_heads or num_head_channels has to be set' + + self.dims = dims + self.image_size = image_size + self.in_channels = in_channels + self.model_channels = model_channels + + if isinstance(num_res_blocks, int): + self.num_res_blocks = len(channel_mult) * [num_res_blocks] + else: + if len(num_res_blocks) != len(channel_mult): + raise ValueError("provide num_res_blocks either as an int (globally constant) or " + "as a list/tuple (per-level) with the same length as channel_mult") + self.num_res_blocks = num_res_blocks + + if disable_self_attentions is not None: + # should be a list of booleans, indicating whether to disable self-attention in TransformerBlocks or not + assert len(disable_self_attentions) == len(channel_mult) + if num_attention_blocks is not None: + assert len(num_attention_blocks) == len(self.num_res_blocks) + assert all(map(lambda i: self.num_res_blocks[i] >= num_attention_blocks[i], range(len(num_attention_blocks)))) + + transformer_depth = transformer_depth[:] + + self.dropout = dropout + self.channel_mult = channel_mult + self.conv_resample = conv_resample + self.num_classes = num_classes + self.use_checkpoint = use_checkpoint + self.dtype = dtype + self.num_heads = num_heads + self.num_head_channels = num_head_channels + self.num_heads_upsample = num_heads_upsample + self.predict_codebook_ids = n_embed is not None + + time_embed_dim = model_channels * 4 + self.time_embed = nn.Sequential( + operations.Linear(model_channels, time_embed_dim, dtype=self.dtype, device=device), + nn.SiLU(), + operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device), + ) + + if self.num_classes is not None: + if isinstance(self.num_classes, int): + self.label_emb = nn.Embedding(num_classes, time_embed_dim) + elif self.num_classes == "continuous": + self.label_emb = nn.Linear(1, time_embed_dim) + elif self.num_classes == "sequential": + assert adm_in_channels is not None + self.label_emb = nn.Sequential( + nn.Sequential( + operations.Linear(adm_in_channels, time_embed_dim, dtype=self.dtype, device=device), + nn.SiLU(), + operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device), + ) + ) + else: + raise ValueError() + + self.input_blocks = nn.ModuleList( + [ + TimestepEmbedSequential( + operations.conv_nd(dims, in_channels, model_channels, 3, padding=1, dtype=self.dtype, device=device) + ) + ] + ) + self.zero_convs = nn.ModuleList([self.make_zero_conv(model_channels, operations=operations, dtype=self.dtype, device=device)]) + + self.input_hint_block = TimestepEmbedSequential( + operations.conv_nd(dims, hint_channels, 16, 3, padding=1, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 16, 16, 3, padding=1, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 16, 32, 3, padding=1, stride=2, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 32, 32, 3, padding=1, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 32, 96, 3, padding=1, stride=2, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 96, 96, 3, padding=1, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 96, 256, 3, padding=1, stride=2, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, 256, model_channels, 3, padding=1, dtype=self.dtype, device=device) + ) + + self._feature_size = model_channels + input_block_chans = [model_channels] + ch = model_channels + ds = 1 + for level, mult in enumerate(channel_mult): + for nr in range(self.num_res_blocks[level]): + layers = [ + ResBlock( + ch, + time_embed_dim, + dropout, + out_channels=mult * model_channels, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations, + ) + ] + ch = mult * model_channels + num_transformers = transformer_depth.pop(0) + if num_transformers > 0: + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + if exists(disable_self_attentions): + disabled_sa = disable_self_attentions[level] + else: + disabled_sa = False + + if not exists(num_attention_blocks) or nr < num_attention_blocks[level]: + layers.append( + SpatialTransformer( + ch, num_heads, dim_head, depth=num_transformers, context_dim=context_dim, + disable_self_attn=disabled_sa, use_linear=use_linear_in_transformer, + use_checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=self.dtype, device=device, operations=operations + ) + ) + self.input_blocks.append(TimestepEmbedSequential(*layers)) + self.zero_convs.append(self.make_zero_conv(ch, operations=operations, dtype=self.dtype, device=device)) + self._feature_size += ch + input_block_chans.append(ch) + if level != len(channel_mult) - 1: + out_ch = ch + self.input_blocks.append( + TimestepEmbedSequential( + ResBlock( + ch, + time_embed_dim, + dropout, + out_channels=out_ch, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + down=True, + dtype=self.dtype, + device=device, + operations=operations + ) + if resblock_updown + else Downsample( + ch, conv_resample, dims=dims, out_channels=out_ch, dtype=self.dtype, device=device, operations=operations + ) + ) + ) + ch = out_ch + input_block_chans.append(ch) + self.zero_convs.append(self.make_zero_conv(ch, operations=operations, dtype=self.dtype, device=device)) + ds *= 2 + self._feature_size += ch + + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + mid_block = [ + ResBlock( + ch, + time_embed_dim, + dropout, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations + )] + if transformer_depth_middle >= 0: + mid_block += [SpatialTransformer( # always uses a self-attn + ch, num_heads, dim_head, depth=transformer_depth_middle, context_dim=context_dim, + disable_self_attn=disable_middle_self_attn, use_linear=use_linear_in_transformer, + use_checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=self.dtype, device=device, operations=operations + ), + ResBlock( + ch, + time_embed_dim, + dropout, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations + )] + self.middle_block = TimestepEmbedSequential(*mid_block) + self.middle_block_out = self.make_zero_conv(ch, operations=operations, dtype=self.dtype, device=device) + self._feature_size += ch + + if union_controlnet_num_control_type is not None: + self.num_control_type = union_controlnet_num_control_type + num_trans_channel = 320 + num_trans_head = 8 + num_trans_layer = 1 + num_proj_channel = 320 + # task_scale_factor = num_trans_channel ** 0.5 + self.task_embedding = nn.Parameter(torch.empty(self.num_control_type, num_trans_channel, dtype=self.dtype, device=device)) + + self.transformer_layes = nn.Sequential(*[ResBlockUnionControlnet(num_trans_channel, num_trans_head, dtype=self.dtype, device=device, operations=operations) for _ in range(num_trans_layer)]) + self.spatial_ch_projs = operations.Linear(num_trans_channel, num_proj_channel, dtype=self.dtype, device=device) + #----------------------------------------------------------------------------------------------------- + + control_add_embed_dim = 256 + class ControlAddEmbedding(nn.Module): + def __init__(self, in_dim, out_dim, num_control_type, dtype=None, device=None, operations=None): + super().__init__() + self.num_control_type = num_control_type + self.in_dim = in_dim + self.linear_1 = operations.Linear(in_dim * num_control_type, out_dim, dtype=dtype, device=device) + self.linear_2 = operations.Linear(out_dim, out_dim, dtype=dtype, device=device) + def forward(self, control_type, dtype, device): + c_type = torch.zeros((self.num_control_type,), device=device) + c_type[control_type] = 1.0 + c_type = timestep_embedding(c_type.flatten(), self.in_dim, repeat_only=False).to(dtype).reshape((-1, self.num_control_type * self.in_dim)) + return self.linear_2(torch.nn.functional.silu(self.linear_1(c_type))) + + self.control_add_embedding = ControlAddEmbedding(control_add_embed_dim, time_embed_dim, self.num_control_type, dtype=self.dtype, device=device, operations=operations) + else: + self.task_embedding = None + self.control_add_embedding = None + + def union_controlnet_merge(self, hint, control_type, emb, context): + # Equivalent to: https://github.com/xinsir6/ControlNetPlus/tree/main + inputs = [] + condition_list = [] + + for idx in range(min(1, len(control_type))): + controlnet_cond = self.input_hint_block(hint[idx], emb, context) + feat_seq = torch.mean(controlnet_cond, dim=(2, 3)) + if idx < len(control_type): + feat_seq += self.task_embedding[control_type[idx]].to(dtype=feat_seq.dtype, device=feat_seq.device) + + inputs.append(feat_seq.unsqueeze(1)) + condition_list.append(controlnet_cond) + + x = torch.cat(inputs, dim=1) + x = self.transformer_layes(x) + controlnet_cond_fuser = None + for idx in range(len(control_type)): + alpha = self.spatial_ch_projs(x[:, idx]) + alpha = alpha.unsqueeze(-1).unsqueeze(-1) + o = condition_list[idx] + alpha + if controlnet_cond_fuser is None: + controlnet_cond_fuser = o + else: + controlnet_cond_fuser += o + return controlnet_cond_fuser + + def make_zero_conv(self, channels, operations=None, dtype=None, device=None): + return TimestepEmbedSequential(operations.conv_nd(self.dims, channels, channels, 1, padding=0, dtype=dtype, device=device)) + + def forward(self, x, hint, timesteps, context, y=None, **kwargs): + t_emb = timestep_embedding(timesteps, self.model_channels, repeat_only=False).to(x.dtype) + emb = self.time_embed(t_emb) + + guided_hint = None + if self.control_add_embedding is not None: #Union Controlnet + control_type = kwargs.get("control_type", []) + + if any([c >= self.num_control_type for c in control_type]): + max_type = max(control_type) + max_type_name = { + v: k for k, v in UNION_CONTROLNET_TYPES.items() + }[max_type] + raise ValueError( + f"Control type {max_type_name}({max_type}) is out of range for the number of control types" + + f"({self.num_control_type}) supported.\n" + + "Please consider using the ProMax ControlNet Union model.\n" + + "https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/tree/main" + ) + + emb += self.control_add_embedding(control_type, emb.dtype, emb.device) + if len(control_type) > 0: + if len(hint.shape) < 5: + hint = hint.unsqueeze(dim=0) + guided_hint = self.union_controlnet_merge(hint, control_type, emb, context) + + if guided_hint is None: + guided_hint = self.input_hint_block(hint, emb, context) + + out_output = [] + out_middle = [] + + if self.num_classes is not None: + assert y.shape[0] == x.shape[0] + emb = emb + self.label_emb(y) + + h = x + for module, zero_conv in zip(self.input_blocks, self.zero_convs): + if guided_hint is not None: + h = module(h, emb, context) + h += guided_hint + guided_hint = None + else: + h = module(h, emb, context) + out_output.append(zero_conv(h, emb, context)) + + h = self.middle_block(h, emb, context) + out_middle.append(self.middle_block_out(h, emb, context)) + + return {"middle": out_middle, "output": out_output} + diff --git a/comfy/cldm/control_types.py b/comfy/cldm/control_types.py new file mode 100644 index 0000000000000000000000000000000000000000..4128631a305a13d65c3c37ced17179d23fbbdcff --- /dev/null +++ b/comfy/cldm/control_types.py @@ -0,0 +1,10 @@ +UNION_CONTROLNET_TYPES = { + "openpose": 0, + "depth": 1, + "hed/pidi/scribble/ted": 2, + "canny/lineart/anime_lineart/mlsd": 3, + "normal": 4, + "segment": 5, + "tile": 6, + "repaint": 7, +} diff --git a/comfy/cldm/dit_embedder.py b/comfy/cldm/dit_embedder.py new file mode 100644 index 0000000000000000000000000000000000000000..f9bf31012b1319e929cab381c9a3b32be62fc589 --- /dev/null +++ b/comfy/cldm/dit_embedder.py @@ -0,0 +1,120 @@ +import math +from typing import List, Optional, Tuple + +import torch +import torch.nn as nn +from torch import Tensor + +from comfy.ldm.modules.diffusionmodules.mmdit import DismantledBlock, PatchEmbed, VectorEmbedder, TimestepEmbedder, get_2d_sincos_pos_embed_torch + + +class ControlNetEmbedder(nn.Module): + + def __init__( + self, + img_size: int, + patch_size: int, + in_chans: int, + attention_head_dim: int, + num_attention_heads: int, + adm_in_channels: int, + num_layers: int, + main_model_double: int, + double_y_emb: bool, + device: torch.device, + dtype: torch.dtype, + pos_embed_max_size: Optional[int] = None, + operations = None, + ): + super().__init__() + self.main_model_double = main_model_double + self.dtype = dtype + self.hidden_size = num_attention_heads * attention_head_dim + self.patch_size = patch_size + self.x_embedder = PatchEmbed( + img_size=img_size, + patch_size=patch_size, + in_chans=in_chans, + embed_dim=self.hidden_size, + strict_img_size=pos_embed_max_size is None, + device=device, + dtype=dtype, + operations=operations, + ) + + self.t_embedder = TimestepEmbedder(self.hidden_size, dtype=dtype, device=device, operations=operations) + + self.double_y_emb = double_y_emb + if self.double_y_emb: + self.orig_y_embedder = VectorEmbedder( + adm_in_channels, self.hidden_size, dtype, device, operations=operations + ) + self.y_embedder = VectorEmbedder( + self.hidden_size, self.hidden_size, dtype, device, operations=operations + ) + else: + self.y_embedder = VectorEmbedder( + adm_in_channels, self.hidden_size, dtype, device, operations=operations + ) + + self.transformer_blocks = nn.ModuleList( + DismantledBlock( + hidden_size=self.hidden_size, num_heads=num_attention_heads, qkv_bias=True, + dtype=dtype, device=device, operations=operations + ) + for _ in range(num_layers) + ) + + # self.use_y_embedder = pooled_projection_dim != self.time_text_embed.text_embedder.linear_1.in_features + # TODO double check this logic when 8b + self.use_y_embedder = True + + self.controlnet_blocks = nn.ModuleList([]) + for _ in range(len(self.transformer_blocks)): + controlnet_block = operations.Linear(self.hidden_size, self.hidden_size, dtype=dtype, device=device) + self.controlnet_blocks.append(controlnet_block) + + self.pos_embed_input = PatchEmbed( + img_size=img_size, + patch_size=patch_size, + in_chans=in_chans, + embed_dim=self.hidden_size, + strict_img_size=False, + device=device, + dtype=dtype, + operations=operations, + ) + + def forward( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + y: Optional[torch.Tensor] = None, + context: Optional[torch.Tensor] = None, + hint = None, + ) -> Tuple[Tensor, List[Tensor]]: + x_shape = list(x.shape) + x = self.x_embedder(x) + if not self.double_y_emb: + h = (x_shape[-2] + 1) // self.patch_size + w = (x_shape[-1] + 1) // self.patch_size + x += get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, device=x.device) + c = self.t_embedder(timesteps, dtype=x.dtype) + if y is not None and self.y_embedder is not None: + if self.double_y_emb: + y = self.orig_y_embedder(y) + y = self.y_embedder(y) + c = c + y + + x = x + self.pos_embed_input(hint) + + block_out = () + + repeat = math.ceil(self.main_model_double / len(self.transformer_blocks)) + for i in range(len(self.transformer_blocks)): + out = self.transformer_blocks[i](x, c) + if not self.double_y_emb: + x = out + block_out += (self.controlnet_blocks[i](out),) * repeat + + return {"output": block_out} diff --git a/comfy/cldm/mmdit.py b/comfy/cldm/mmdit.py new file mode 100644 index 0000000000000000000000000000000000000000..b7764085e9431259d43701654af897effe0799da --- /dev/null +++ b/comfy/cldm/mmdit.py @@ -0,0 +1,81 @@ +import torch +from typing import Optional +import comfy.ldm.modules.diffusionmodules.mmdit + +class ControlNet(comfy.ldm.modules.diffusionmodules.mmdit.MMDiT): + def __init__( + self, + num_blocks = None, + control_latent_channels = None, + dtype = None, + device = None, + operations = None, + **kwargs, + ): + super().__init__(dtype=dtype, device=device, operations=operations, final_layer=False, num_blocks=num_blocks, **kwargs) + # controlnet_blocks + self.controlnet_blocks = torch.nn.ModuleList([]) + for _ in range(len(self.joint_blocks)): + self.controlnet_blocks.append(operations.Linear(self.hidden_size, self.hidden_size, device=device, dtype=dtype)) + + if control_latent_channels is None: + control_latent_channels = self.in_channels + + self.pos_embed_input = comfy.ldm.modules.diffusionmodules.mmdit.PatchEmbed( + None, + self.patch_size, + control_latent_channels, + self.hidden_size, + bias=True, + strict_img_size=False, + dtype=dtype, + device=device, + operations=operations + ) + + def forward( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + y: Optional[torch.Tensor] = None, + context: Optional[torch.Tensor] = None, + hint = None, + ) -> torch.Tensor: + + #weird sd3 controlnet specific stuff + y = torch.zeros_like(y) + + if self.context_processor is not None: + context = self.context_processor(context) + + hw = x.shape[-2:] + x = self.x_embedder(x) + self.cropped_pos_embed(hw, device=x.device).to(dtype=x.dtype, device=x.device) + x += self.pos_embed_input(hint) + + c = self.t_embedder(timesteps, dtype=x.dtype) + if y is not None and self.y_embedder is not None: + y = self.y_embedder(y) + c = c + y + + if context is not None: + context = self.context_embedder(context) + + output = [] + + blocks = len(self.joint_blocks) + for i in range(blocks): + context, x = self.joint_blocks[i]( + context, + x, + c=c, + use_checkpoint=self.use_checkpoint, + ) + + out = self.controlnet_blocks[i](x) + count = self.depth // blocks + if i == blocks - 1: + count -= 1 + for j in range(count): + output.append(out) + + return {"output": output} diff --git a/comfy/cli_args.py b/comfy/cli_args.py new file mode 100644 index 0000000000000000000000000000000000000000..cc1f12482e9f667b1db08b62068afa1af1ab60a6 --- /dev/null +++ b/comfy/cli_args.py @@ -0,0 +1,240 @@ +import argparse +import enum +import os +import comfy.options + + +class EnumAction(argparse.Action): + """ + Argparse action for handling Enums + """ + def __init__(self, **kwargs): + # Pop off the type value + enum_type = kwargs.pop("type", None) + + # Ensure an Enum subclass is provided + if enum_type is None: + raise ValueError("type must be assigned an Enum when using EnumAction") + if not issubclass(enum_type, enum.Enum): + raise TypeError("type must be an Enum when using EnumAction") + + # Generate choices from the Enum + choices = tuple(e.value for e in enum_type) + kwargs.setdefault("choices", choices) + kwargs.setdefault("metavar", f"[{','.join(list(choices))}]") + + super(EnumAction, self).__init__(**kwargs) + + self._enum = enum_type + + def __call__(self, parser, namespace, values, option_string=None): + # Convert value back into an Enum + value = self._enum(values) + setattr(namespace, self.dest, value) + + +parser = argparse.ArgumentParser() + +parser.add_argument("--listen", type=str, default="127.0.0.1", metavar="IP", nargs="?", const="0.0.0.0,::", help="Specify the IP address to listen on (default: 127.0.0.1). You can give a list of ip addresses by separating them with a comma like: 127.2.2.2,127.3.3.3 If --listen is provided without an argument, it defaults to 0.0.0.0,:: (listens on all ipv4 and ipv6)") +parser.add_argument("--port", type=int, default=8188, help="Set the listen port.") +parser.add_argument("--tls-keyfile", type=str, help="Path to TLS (SSL) key file. Enables TLS, makes app accessible at https://... requires --tls-certfile to function") +parser.add_argument("--tls-certfile", type=str, help="Path to TLS (SSL) certificate file. Enables TLS, makes app accessible at https://... requires --tls-keyfile to function") +parser.add_argument("--enable-cors-header", type=str, default=None, metavar="ORIGIN", nargs="?", const="*", help="Enable CORS (Cross-Origin Resource Sharing) with optional origin or allow all with default '*'.") +parser.add_argument("--max-upload-size", type=float, default=100, help="Set the maximum upload size in MB.") + +parser.add_argument("--base-directory", type=str, default=None, help="Set the ComfyUI base directory for models, custom_nodes, input, output, temp, and user directories.") +parser.add_argument("--extra-model-paths-config", type=str, default=None, metavar="PATH", nargs='+', action='append', help="Load one or more extra_model_paths.yaml files.") +parser.add_argument("--output-directory", type=str, default=None, help="Set the ComfyUI output directory. Overrides --base-directory.") +parser.add_argument("--temp-directory", type=str, default=None, help="Set the ComfyUI temp directory (default is in the ComfyUI directory). Overrides --base-directory.") +parser.add_argument("--input-directory", type=str, default=None, help="Set the ComfyUI input directory. Overrides --base-directory.") +parser.add_argument("--auto-launch", action="store_true", help="Automatically launch ComfyUI in the default browser.") +parser.add_argument("--disable-auto-launch", action="store_true", help="Disable auto launching the browser.") +parser.add_argument("--cuda-device", type=int, default=None, metavar="DEVICE_ID", help="Set the id of the cuda device this instance will use. All other devices will not be visible.") +parser.add_argument("--default-device", type=int, default=None, metavar="DEFAULT_DEVICE_ID", help="Set the id of the default device, all other devices will stay visible.") +cm_group = parser.add_mutually_exclusive_group() +cm_group.add_argument("--cuda-malloc", action="store_true", help="Enable cudaMallocAsync (enabled by default for torch 2.0 and up).") +cm_group.add_argument("--disable-cuda-malloc", action="store_true", help="Disable cudaMallocAsync.") + + +fp_group = parser.add_mutually_exclusive_group() +fp_group.add_argument("--force-fp32", action="store_true", help="Force fp32 (If this makes your GPU work better please report it).") +fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.") + +fpunet_group = parser.add_mutually_exclusive_group() +fpunet_group.add_argument("--fp32-unet", action="store_true", help="Run the diffusion model in fp32.") +fpunet_group.add_argument("--fp64-unet", action="store_true", help="Run the diffusion model in fp64.") +fpunet_group.add_argument("--bf16-unet", action="store_true", help="Run the diffusion model in bf16.") +fpunet_group.add_argument("--fp16-unet", action="store_true", help="Run the diffusion model in fp16") +fpunet_group.add_argument("--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn.") +fpunet_group.add_argument("--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2.") +fpunet_group.add_argument("--fp8_e8m0fnu-unet", action="store_true", help="Store unet weights in fp8_e8m0fnu.") + +fpvae_group = parser.add_mutually_exclusive_group() +fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.") +fpvae_group.add_argument("--fp32-vae", action="store_true", help="Run the VAE in full precision fp32.") +fpvae_group.add_argument("--bf16-vae", action="store_true", help="Run the VAE in bf16.") + +parser.add_argument("--cpu-vae", action="store_true", help="Run the VAE on the CPU.") + +fpte_group = parser.add_mutually_exclusive_group() +fpte_group.add_argument("--fp8_e4m3fn-text-enc", action="store_true", help="Store text encoder weights in fp8 (e4m3fn variant).") +fpte_group.add_argument("--fp8_e5m2-text-enc", action="store_true", help="Store text encoder weights in fp8 (e5m2 variant).") +fpte_group.add_argument("--fp16-text-enc", action="store_true", help="Store text encoder weights in fp16.") +fpte_group.add_argument("--fp32-text-enc", action="store_true", help="Store text encoder weights in fp32.") +fpte_group.add_argument("--bf16-text-enc", action="store_true", help="Store text encoder weights in bf16.") + +parser.add_argument("--force-channels-last", action="store_true", help="Force channels last format when inferencing the models.") + +parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.") + +parser.add_argument("--oneapi-device-selector", type=str, default=None, metavar="SELECTOR_STRING", help="Sets the oneAPI device(s) this instance will use.") +parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize default when loading models with Intel's Extension for Pytorch.") +parser.add_argument("--supports-fp8-compute", action="store_true", help="ComfyUI will act like if the device supports fp8 compute.") + +class LatentPreviewMethod(enum.Enum): + NoPreviews = "none" + Auto = "auto" + Latent2RGB = "latent2rgb" + TAESD = "taesd" + +parser.add_argument("--preview-method", type=LatentPreviewMethod, default=LatentPreviewMethod.NoPreviews, help="Default preview method for sampler nodes.", action=EnumAction) + +parser.add_argument("--preview-size", type=int, default=512, help="Sets the maximum preview size for sampler nodes.") + +cache_group = parser.add_mutually_exclusive_group() +cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.") +cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.") +cache_group.add_argument("--cache-none", action="store_true", help="Reduced RAM/VRAM usage at the expense of executing every node for each run.") + +attn_group = parser.add_mutually_exclusive_group() +attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.") +attn_group.add_argument("--use-quad-cross-attention", action="store_true", help="Use the sub-quadratic cross attention optimization . Ignored when xformers is used.") +attn_group.add_argument("--use-pytorch-cross-attention", action="store_true", help="Use the new pytorch 2.0 cross attention function.") +attn_group.add_argument("--use-sage-attention", action="store_true", help="Use sage attention.") +attn_group.add_argument("--use-flash-attention", action="store_true", help="Use FlashAttention.") + +parser.add_argument("--disable-xformers", action="store_true", help="Disable xformers.") + +upcast = parser.add_mutually_exclusive_group() +upcast.add_argument("--force-upcast-attention", action="store_true", help="Force enable attention upcasting, please report if it fixes black images.") +upcast.add_argument("--dont-upcast-attention", action="store_true", help="Disable all upcasting of attention. Should be unnecessary except for debugging.") + + +vram_group = parser.add_mutually_exclusive_group() +vram_group.add_argument("--gpu-only", action="store_true", help="Store and run everything (text encoders/CLIP models, etc... on the GPU).") +vram_group.add_argument("--highvram", action="store_true", help="By default models will be unloaded to CPU memory after being used. This option keeps them in GPU memory.") +vram_group.add_argument("--normalvram", action="store_true", help="Used to force normal vram use if lowvram gets automatically enabled.") +vram_group.add_argument("--lowvram", action="store_true", help="Split the unet in parts to use less vram.") +vram_group.add_argument("--novram", action="store_true", help="When lowvram isn't enough.") +vram_group.add_argument("--cpu", action="store_true", help="To use the CPU for everything (slow).") + +parser.add_argument("--reserve-vram", type=float, default=None, help="Set the amount of vram in GB you want to reserve for use by your OS/other software. By default some amount is reserved depending on your OS.") + +parser.add_argument("--async-offload", action="store_true", help="Use async weight offloading.") + +parser.add_argument("--force-non-blocking", action="store_true", help="Force ComfyUI to use non-blocking operations for all applicable tensors. This may improve performance on some non-Nvidia systems but can cause issues with some workflows.") + +parser.add_argument("--default-hashing-function", type=str, choices=['md5', 'sha1', 'sha256', 'sha512'], default='sha256', help="Allows you to choose the hash function to use for duplicate filename / contents comparison. Default is sha256.") + +parser.add_argument("--disable-smart-memory", action="store_true", help="Force ComfyUI to agressively offload to regular ram instead of keeping models in vram when it can.") +parser.add_argument("--deterministic", action="store_true", help="Make pytorch use slower deterministic algorithms when it can. Note that this might not make images deterministic in all cases.") + +class PerformanceFeature(enum.Enum): + Fp16Accumulation = "fp16_accumulation" + Fp8MatrixMultiplication = "fp8_matrix_mult" + CublasOps = "cublas_ops" + AutoTune = "autotune" + +parser.add_argument("--fast", nargs="*", type=PerformanceFeature, help="Enable some untested and potentially quality deteriorating optimizations. --fast with no arguments enables everything. You can pass a list specific optimizations if you only want to enable specific ones. Current valid optimizations: {}".format(" ".join(map(lambda c: c.value, PerformanceFeature)))) + +parser.add_argument("--mmap-torch-files", action="store_true", help="Use mmap when loading ckpt/pt files.") +parser.add_argument("--disable-mmap", action="store_true", help="Don't use mmap when loading safetensors.") + +parser.add_argument("--dont-print-server", action="store_true", help="Don't print server output.") +parser.add_argument("--quick-test-for-ci", action="store_true", help="Quick test for CI.") +parser.add_argument("--windows-standalone-build", action="store_true", help="Windows standalone build: Enable convenient things that most people using the standalone windows build will probably enjoy (like auto opening the page on startup).") + +parser.add_argument("--disable-metadata", action="store_true", help="Disable saving prompt metadata in files.") +parser.add_argument("--disable-all-custom-nodes", action="store_true", help="Disable loading all custom nodes.") +parser.add_argument("--whitelist-custom-nodes", type=str, nargs='+', default=[], help="Specify custom node folders to load even when --disable-all-custom-nodes is enabled.") +parser.add_argument("--disable-api-nodes", action="store_true", help="Disable loading all api nodes.") + +parser.add_argument("--multi-user", action="store_true", help="Enables per-user storage.") + +parser.add_argument("--verbose", default='INFO', const='DEBUG', nargs="?", choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], help='Set the logging level') +parser.add_argument("--log-stdout", action="store_true", help="Send normal process output to stdout instead of stderr (default).") + +# The default built-in provider hosted under web/ +DEFAULT_VERSION_STRING = "comfyanonymous/ComfyUI@latest" + +parser.add_argument( + "--front-end-version", + type=str, + default=DEFAULT_VERSION_STRING, + help=""" + Specifies the version of the frontend to be used. This command needs internet connectivity to query and + download available frontend implementations from GitHub releases. + + The version string should be in the format of: + [repoOwner]/[repoName]@[version] + where version is one of: "latest" or a valid version number (e.g. "1.0.0") + """, +) + +def is_valid_directory(path: str) -> str: + """Validate if the given path is a directory, and check permissions.""" + if not os.path.exists(path): + raise argparse.ArgumentTypeError(f"The path '{path}' does not exist.") + if not os.path.isdir(path): + raise argparse.ArgumentTypeError(f"'{path}' is not a directory.") + if not os.access(path, os.R_OK): + raise argparse.ArgumentTypeError(f"You do not have read permissions for '{path}'.") + return path + +parser.add_argument( + "--front-end-root", + type=is_valid_directory, + default=None, + help="The local filesystem path to the directory where the frontend is located. Overrides --front-end-version.", +) + +parser.add_argument("--user-directory", type=is_valid_directory, default=None, help="Set the ComfyUI user directory with an absolute path. Overrides --base-directory.") + +parser.add_argument("--enable-compress-response-body", action="store_true", help="Enable compressing response body.") + +parser.add_argument( + "--comfy-api-base", + type=str, + default="https://api.comfy.org", + help="Set the base URL for the ComfyUI API. (default: https://api.comfy.org)", +) + +database_default_path = os.path.abspath( + os.path.join(os.path.dirname(__file__), "..", "user", "comfyui.db") +) +parser.add_argument("--database-url", type=str, default=f"sqlite:///{database_default_path}", help="Specify the database URL, e.g. for an in-memory database you can use 'sqlite:///:memory:'.") + +if comfy.options.args_parsing: + args = parser.parse_args() +else: + args = parser.parse_args([]) + +if args.windows_standalone_build: + args.auto_launch = True + +if args.disable_auto_launch: + args.auto_launch = False + +if args.force_fp16: + args.fp16_unet = True + + +# '--fast' is not provided, use an empty set +if args.fast is None: + args.fast = set() +# '--fast' is provided with an empty list, enable all optimizations +elif args.fast == []: + args.fast = set(PerformanceFeature) +# '--fast' is provided with a list of performance features, use that list +else: + args.fast = set(args.fast) diff --git a/comfy/clip_config_bigg.json b/comfy/clip_config_bigg.json new file mode 100644 index 0000000000000000000000000000000000000000..35261deef14a68fcc6c5b1fc32914b5c102781a9 --- /dev/null +++ b/comfy/clip_config_bigg.json @@ -0,0 +1,23 @@ +{ + "architectures": [ + "CLIPTextModel" + ], + "attention_dropout": 0.0, + "bos_token_id": 0, + "dropout": 0.0, + "eos_token_id": 49407, + "hidden_act": "gelu", + "hidden_size": 1280, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 5120, + "layer_norm_eps": 1e-05, + "max_position_embeddings": 77, + "model_type": "clip_text_model", + "num_attention_heads": 20, + "num_hidden_layers": 32, + "pad_token_id": 1, + "projection_dim": 1280, + "torch_dtype": "float32", + "vocab_size": 49408 +} diff --git a/comfy/clip_model.py b/comfy/clip_model.py new file mode 100644 index 0000000000000000000000000000000000000000..7c0cadab5bc94cba0beef715b1465a0125eba465 --- /dev/null +++ b/comfy/clip_model.py @@ -0,0 +1,254 @@ +import torch +from comfy.ldm.modules.attention import optimized_attention_for_device +import comfy.ops + +class CLIPAttention(torch.nn.Module): + def __init__(self, embed_dim, heads, dtype, device, operations): + super().__init__() + + self.heads = heads + self.q_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + self.k_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + self.v_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + + self.out_proj = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + + def forward(self, x, mask=None, optimized_attention=None): + q = self.q_proj(x) + k = self.k_proj(x) + v = self.v_proj(x) + + out = optimized_attention(q, k, v, self.heads, mask) + return self.out_proj(out) + +ACTIVATIONS = {"quick_gelu": lambda a: a * torch.sigmoid(1.702 * a), + "gelu": torch.nn.functional.gelu, + "gelu_pytorch_tanh": lambda a: torch.nn.functional.gelu(a, approximate="tanh"), +} + +class CLIPMLP(torch.nn.Module): + def __init__(self, embed_dim, intermediate_size, activation, dtype, device, operations): + super().__init__() + self.fc1 = operations.Linear(embed_dim, intermediate_size, bias=True, dtype=dtype, device=device) + self.activation = ACTIVATIONS[activation] + self.fc2 = operations.Linear(intermediate_size, embed_dim, bias=True, dtype=dtype, device=device) + + def forward(self, x): + x = self.fc1(x) + x = self.activation(x) + x = self.fc2(x) + return x + +class CLIPLayer(torch.nn.Module): + def __init__(self, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations): + super().__init__() + self.layer_norm1 = operations.LayerNorm(embed_dim, dtype=dtype, device=device) + self.self_attn = CLIPAttention(embed_dim, heads, dtype, device, operations) + self.layer_norm2 = operations.LayerNorm(embed_dim, dtype=dtype, device=device) + self.mlp = CLIPMLP(embed_dim, intermediate_size, intermediate_activation, dtype, device, operations) + + def forward(self, x, mask=None, optimized_attention=None): + x += self.self_attn(self.layer_norm1(x), mask, optimized_attention) + x += self.mlp(self.layer_norm2(x)) + return x + + +class CLIPEncoder(torch.nn.Module): + def __init__(self, num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations): + super().__init__() + self.layers = torch.nn.ModuleList([CLIPLayer(embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) for i in range(num_layers)]) + + def forward(self, x, mask=None, intermediate_output=None): + optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True) + + all_intermediate = None + if intermediate_output is not None: + if intermediate_output == "all": + all_intermediate = [] + intermediate_output = None + elif intermediate_output < 0: + intermediate_output = len(self.layers) + intermediate_output + + intermediate = None + for i, l in enumerate(self.layers): + x = l(x, mask, optimized_attention) + if i == intermediate_output: + intermediate = x.clone() + if all_intermediate is not None: + all_intermediate.append(x.unsqueeze(1).clone()) + + if all_intermediate is not None: + intermediate = torch.cat(all_intermediate, dim=1) + + return x, intermediate + +class CLIPEmbeddings(torch.nn.Module): + def __init__(self, embed_dim, vocab_size=49408, num_positions=77, dtype=None, device=None, operations=None): + super().__init__() + self.token_embedding = operations.Embedding(vocab_size, embed_dim, dtype=dtype, device=device) + self.position_embedding = operations.Embedding(num_positions, embed_dim, dtype=dtype, device=device) + + def forward(self, input_tokens, dtype=torch.float32): + return self.token_embedding(input_tokens, out_dtype=dtype) + comfy.ops.cast_to(self.position_embedding.weight, dtype=dtype, device=input_tokens.device) + + +class CLIPTextModel_(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + num_layers = config_dict["num_hidden_layers"] + embed_dim = config_dict["hidden_size"] + heads = config_dict["num_attention_heads"] + intermediate_size = config_dict["intermediate_size"] + intermediate_activation = config_dict["hidden_act"] + num_positions = config_dict["max_position_embeddings"] + self.eos_token_id = config_dict["eos_token_id"] + + super().__init__() + self.embeddings = CLIPEmbeddings(embed_dim, num_positions=num_positions, dtype=dtype, device=device, operations=operations) + self.encoder = CLIPEncoder(num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) + self.final_layer_norm = operations.LayerNorm(embed_dim, dtype=dtype, device=device) + + def forward(self, input_tokens=None, attention_mask=None, embeds=None, num_tokens=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=torch.float32, embeds_info=[]): + if embeds is not None: + x = embeds + comfy.ops.cast_to(self.embeddings.position_embedding.weight, dtype=dtype, device=embeds.device) + else: + x = self.embeddings(input_tokens, dtype=dtype) + + mask = None + if attention_mask is not None: + mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1]) + mask = mask.masked_fill(mask.to(torch.bool), -torch.finfo(x.dtype).max) + + causal_mask = torch.full((x.shape[1], x.shape[1]), -torch.finfo(x.dtype).max, dtype=x.dtype, device=x.device).triu_(1) + + if mask is not None: + mask += causal_mask + else: + mask = causal_mask + + x, i = self.encoder(x, mask=mask, intermediate_output=intermediate_output) + x = self.final_layer_norm(x) + if i is not None and final_layer_norm_intermediate: + i = self.final_layer_norm(i) + + if num_tokens is not None: + pooled_output = x[list(range(x.shape[0])), list(map(lambda a: a - 1, num_tokens))] + else: + pooled_output = x[torch.arange(x.shape[0], device=x.device), (torch.round(input_tokens).to(dtype=torch.int, device=x.device) == self.eos_token_id).int().argmax(dim=-1),] + return x, i, pooled_output + +class CLIPTextModel(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + self.num_layers = config_dict["num_hidden_layers"] + self.text_model = CLIPTextModel_(config_dict, dtype, device, operations) + embed_dim = config_dict["hidden_size"] + self.text_projection = operations.Linear(embed_dim, embed_dim, bias=False, dtype=dtype, device=device) + self.dtype = dtype + + def get_input_embeddings(self): + return self.text_model.embeddings.token_embedding + + def set_input_embeddings(self, embeddings): + self.text_model.embeddings.token_embedding = embeddings + + def forward(self, *args, **kwargs): + x = self.text_model(*args, **kwargs) + out = self.text_projection(x[2]) + return (x[0], x[1], out, x[2]) + + +class CLIPVisionEmbeddings(torch.nn.Module): + def __init__(self, embed_dim, num_channels=3, patch_size=14, image_size=224, model_type="", dtype=None, device=None, operations=None): + super().__init__() + + num_patches = (image_size // patch_size) ** 2 + if model_type == "siglip_vision_model": + self.class_embedding = None + patch_bias = True + else: + num_patches = num_patches + 1 + self.class_embedding = torch.nn.Parameter(torch.empty(embed_dim, dtype=dtype, device=device)) + patch_bias = False + + self.patch_embedding = operations.Conv2d( + in_channels=num_channels, + out_channels=embed_dim, + kernel_size=patch_size, + stride=patch_size, + bias=patch_bias, + dtype=dtype, + device=device + ) + + self.position_embedding = operations.Embedding(num_patches, embed_dim, dtype=dtype, device=device) + + def forward(self, pixel_values): + embeds = self.patch_embedding(pixel_values).flatten(2).transpose(1, 2) + if self.class_embedding is not None: + embeds = torch.cat([comfy.ops.cast_to_input(self.class_embedding, embeds).expand(pixel_values.shape[0], 1, -1), embeds], dim=1) + return embeds + comfy.ops.cast_to_input(self.position_embedding.weight, embeds) + + +class CLIPVision(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + num_layers = config_dict["num_hidden_layers"] + embed_dim = config_dict["hidden_size"] + heads = config_dict["num_attention_heads"] + intermediate_size = config_dict["intermediate_size"] + intermediate_activation = config_dict["hidden_act"] + model_type = config_dict["model_type"] + + self.embeddings = CLIPVisionEmbeddings(embed_dim, config_dict["num_channels"], config_dict["patch_size"], config_dict["image_size"], model_type=model_type, dtype=dtype, device=device, operations=operations) + if model_type == "siglip_vision_model": + self.pre_layrnorm = lambda a: a + self.output_layernorm = True + else: + self.pre_layrnorm = operations.LayerNorm(embed_dim) + self.output_layernorm = False + self.encoder = CLIPEncoder(num_layers, embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) + self.post_layernorm = operations.LayerNorm(embed_dim) + + def forward(self, pixel_values, attention_mask=None, intermediate_output=None): + x = self.embeddings(pixel_values) + x = self.pre_layrnorm(x) + #TODO: attention_mask? + x, i = self.encoder(x, mask=None, intermediate_output=intermediate_output) + if self.output_layernorm: + x = self.post_layernorm(x) + pooled_output = x + else: + pooled_output = self.post_layernorm(x[:, 0, :]) + return x, i, pooled_output + +class LlavaProjector(torch.nn.Module): + def __init__(self, in_dim, out_dim, dtype, device, operations): + super().__init__() + self.linear_1 = operations.Linear(in_dim, out_dim, bias=True, device=device, dtype=dtype) + self.linear_2 = operations.Linear(out_dim, out_dim, bias=True, device=device, dtype=dtype) + + def forward(self, x): + return self.linear_2(torch.nn.functional.gelu(self.linear_1(x[:, 1:]))) + +class CLIPVisionModelProjection(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + self.vision_model = CLIPVision(config_dict, dtype, device, operations) + if "projection_dim" in config_dict: + self.visual_projection = operations.Linear(config_dict["hidden_size"], config_dict["projection_dim"], bias=False) + else: + self.visual_projection = lambda a: a + + if "llava3" == config_dict.get("projector_type", None): + self.multi_modal_projector = LlavaProjector(config_dict["hidden_size"], 4096, dtype, device, operations) + else: + self.multi_modal_projector = None + + def forward(self, *args, **kwargs): + x = self.vision_model(*args, **kwargs) + out = self.visual_projection(x[2]) + projected = None + if self.multi_modal_projector is not None: + projected = self.multi_modal_projector(x[1]) + + return (x[0], x[1], out, projected) diff --git a/comfy/clip_vision.py b/comfy/clip_vision.py new file mode 100644 index 0000000000000000000000000000000000000000..447b1ce4abef28579a56359b2d0d66ef9159acb6 --- /dev/null +++ b/comfy/clip_vision.py @@ -0,0 +1,164 @@ +from .utils import load_torch_file, transformers_convert, state_dict_prefix_replace +import os +import torch +import json +import logging + +import comfy.ops +import comfy.model_patcher +import comfy.model_management +import comfy.utils +import comfy.clip_model +import comfy.image_encoders.dino2 + +class Output: + def __getitem__(self, key): + return getattr(self, key) + def __setitem__(self, key, item): + setattr(self, key, item) + +def clip_preprocess(image, size=224, mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711], crop=True): + image = image[:, :, :, :3] if image.shape[3] > 3 else image + mean = torch.tensor(mean, device=image.device, dtype=image.dtype) + std = torch.tensor(std, device=image.device, dtype=image.dtype) + image = image.movedim(-1, 1) + if not (image.shape[2] == size and image.shape[3] == size): + if crop: + scale = (size / min(image.shape[2], image.shape[3])) + scale_size = (round(scale * image.shape[2]), round(scale * image.shape[3])) + else: + scale_size = (size, size) + + image = torch.nn.functional.interpolate(image, size=scale_size, mode="bicubic", antialias=True) + h = (image.shape[2] - size)//2 + w = (image.shape[3] - size)//2 + image = image[:,:,h:h+size,w:w+size] + image = torch.clip((255. * image), 0, 255).round() / 255.0 + return (image - mean.view([3,1,1])) / std.view([3,1,1]) + +IMAGE_ENCODERS = { + "clip_vision_model": comfy.clip_model.CLIPVisionModelProjection, + "siglip_vision_model": comfy.clip_model.CLIPVisionModelProjection, + "dinov2": comfy.image_encoders.dino2.Dinov2Model, +} + +class ClipVisionModel(): + def __init__(self, json_config): + with open(json_config) as f: + config = json.load(f) + + self.image_size = config.get("image_size", 224) + self.image_mean = config.get("image_mean", [0.48145466, 0.4578275, 0.40821073]) + self.image_std = config.get("image_std", [0.26862954, 0.26130258, 0.27577711]) + model_type = config.get("model_type", "clip_vision_model") + model_class = IMAGE_ENCODERS.get(model_type) + if model_type == "siglip_vision_model": + self.return_all_hidden_states = True + else: + self.return_all_hidden_states = False + + self.load_device = comfy.model_management.text_encoder_device() + offload_device = comfy.model_management.text_encoder_offload_device() + self.dtype = comfy.model_management.text_encoder_dtype(self.load_device) + self.model = model_class(config, self.dtype, offload_device, comfy.ops.manual_cast) + self.model.eval() + + self.patcher = comfy.model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device) + + def load_sd(self, sd): + return self.model.load_state_dict(sd, strict=False) + + def get_sd(self): + return self.model.state_dict() + + def encode_image(self, image, crop=True): + comfy.model_management.load_model_gpu(self.patcher) + pixel_values = clip_preprocess(image.to(self.load_device), size=self.image_size, mean=self.image_mean, std=self.image_std, crop=crop).float() + out = self.model(pixel_values=pixel_values, intermediate_output='all' if self.return_all_hidden_states else -2) + + outputs = Output() + outputs["last_hidden_state"] = out[0].to(comfy.model_management.intermediate_device()) + outputs["image_embeds"] = out[2].to(comfy.model_management.intermediate_device()) + if self.return_all_hidden_states: + all_hs = out[1].to(comfy.model_management.intermediate_device()) + outputs["penultimate_hidden_states"] = all_hs[:, -2] + outputs["all_hidden_states"] = all_hs + else: + outputs["penultimate_hidden_states"] = out[1].to(comfy.model_management.intermediate_device()) + + outputs["mm_projected"] = out[3] + return outputs + +def convert_to_transformers(sd, prefix): + sd_k = sd.keys() + if "{}transformer.resblocks.0.attn.in_proj_weight".format(prefix) in sd_k: + keys_to_replace = { + "{}class_embedding".format(prefix): "vision_model.embeddings.class_embedding", + "{}conv1.weight".format(prefix): "vision_model.embeddings.patch_embedding.weight", + "{}positional_embedding".format(prefix): "vision_model.embeddings.position_embedding.weight", + "{}ln_post.bias".format(prefix): "vision_model.post_layernorm.bias", + "{}ln_post.weight".format(prefix): "vision_model.post_layernorm.weight", + "{}ln_pre.bias".format(prefix): "vision_model.pre_layrnorm.bias", + "{}ln_pre.weight".format(prefix): "vision_model.pre_layrnorm.weight", + } + + for x in keys_to_replace: + if x in sd_k: + sd[keys_to_replace[x]] = sd.pop(x) + + if "{}proj".format(prefix) in sd_k: + sd['visual_projection.weight'] = sd.pop("{}proj".format(prefix)).transpose(0, 1) + + sd = transformers_convert(sd, prefix, "vision_model.", 48) + else: + replace_prefix = {prefix: ""} + sd = state_dict_prefix_replace(sd, replace_prefix) + return sd + +def load_clipvision_from_sd(sd, prefix="", convert_keys=False): + if convert_keys: + sd = convert_to_transformers(sd, prefix) + if "vision_model.encoder.layers.47.layer_norm1.weight" in sd: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_g.json") + elif "vision_model.encoder.layers.30.layer_norm1.weight" in sd: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_h.json") + elif "vision_model.encoder.layers.22.layer_norm1.weight" in sd: + embed_shape = sd["vision_model.embeddings.position_embedding.weight"].shape[0] + if sd["vision_model.encoder.layers.0.layer_norm1.weight"].shape[0] == 1152: + if embed_shape == 729: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_siglip_384.json") + elif embed_shape == 1024: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_siglip_512.json") + elif embed_shape == 577: + if "multi_modal_projector.linear_1.bias" in sd: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl_336_llava.json") + else: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl_336.json") + else: + json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl.json") + + # Dinov2 + elif 'encoder.layer.39.layer_scale2.lambda1' in sd: + json_config = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "image_encoders"), "dino2_giant.json") + elif 'encoder.layer.23.layer_scale2.lambda1' in sd: + json_config = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "image_encoders"), "dino2_large.json") + else: + return None + + clip = ClipVisionModel(json_config) + m, u = clip.load_sd(sd) + if len(m) > 0: + logging.warning("missing clip vision: {}".format(m)) + u = set(u) + keys = list(sd.keys()) + for k in keys: + if k not in u: + sd.pop(k) + return clip + +def load(ckpt_path): + sd = load_torch_file(ckpt_path) + if "visual.transformer.resblocks.0.attn.in_proj_weight" in sd: + return load_clipvision_from_sd(sd, prefix="visual.", convert_keys=True) + else: + return load_clipvision_from_sd(sd) diff --git a/comfy/clip_vision_config_g.json b/comfy/clip_vision_config_g.json new file mode 100644 index 0000000000000000000000000000000000000000..708e7e21ac3513a719d6a49e88e756f5ef7e2c8d --- /dev/null +++ b/comfy/clip_vision_config_g.json @@ -0,0 +1,18 @@ +{ + "attention_dropout": 0.0, + "dropout": 0.0, + "hidden_act": "gelu", + "hidden_size": 1664, + "image_size": 224, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 8192, + "layer_norm_eps": 1e-05, + "model_type": "clip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 48, + "patch_size": 14, + "projection_dim": 1280, + "torch_dtype": "float32" +} diff --git a/comfy/clip_vision_config_h.json b/comfy/clip_vision_config_h.json new file mode 100644 index 0000000000000000000000000000000000000000..bb71be419a4be0ad5c8c157850de032a65593cb9 --- /dev/null +++ b/comfy/clip_vision_config_h.json @@ -0,0 +1,18 @@ +{ + "attention_dropout": 0.0, + "dropout": 0.0, + "hidden_act": "gelu", + "hidden_size": 1280, + "image_size": 224, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 5120, + "layer_norm_eps": 1e-05, + "model_type": "clip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 32, + "patch_size": 14, + "projection_dim": 1024, + "torch_dtype": "float32" +} diff --git a/comfy/clip_vision_config_vitl.json b/comfy/clip_vision_config_vitl.json new file mode 100644 index 0000000000000000000000000000000000000000..c59b8ed5a4c1f41fbcc9e6811d2c7dfe44273de7 --- /dev/null +++ b/comfy/clip_vision_config_vitl.json @@ -0,0 +1,18 @@ +{ + "attention_dropout": 0.0, + "dropout": 0.0, + "hidden_act": "quick_gelu", + "hidden_size": 1024, + "image_size": 224, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-05, + "model_type": "clip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 14, + "projection_dim": 768, + "torch_dtype": "float32" +} diff --git a/comfy/clip_vision_config_vitl_336.json b/comfy/clip_vision_config_vitl_336.json new file mode 100644 index 0000000000000000000000000000000000000000..f26945273d99e88f207d64dcec78feee63b4b625 --- /dev/null +++ b/comfy/clip_vision_config_vitl_336.json @@ -0,0 +1,18 @@ +{ + "attention_dropout": 0.0, + "dropout": 0.0, + "hidden_act": "quick_gelu", + "hidden_size": 1024, + "image_size": 336, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-5, + "model_type": "clip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 14, + "projection_dim": 768, + "torch_dtype": "float32" +} diff --git a/comfy/clip_vision_config_vitl_336_llava.json b/comfy/clip_vision_config_vitl_336_llava.json new file mode 100644 index 0000000000000000000000000000000000000000..f23a50d8b77fa29de2af621fb50c5825cf9b1a86 --- /dev/null +++ b/comfy/clip_vision_config_vitl_336_llava.json @@ -0,0 +1,19 @@ +{ + "attention_dropout": 0.0, + "dropout": 0.0, + "hidden_act": "quick_gelu", + "hidden_size": 1024, + "image_size": 336, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-5, + "model_type": "clip_vision_model", + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 14, + "projection_dim": 768, + "projector_type": "llava3", + "torch_dtype": "float32" +} diff --git a/comfy/clip_vision_siglip_384.json b/comfy/clip_vision_siglip_384.json new file mode 100644 index 0000000000000000000000000000000000000000..532e03ac181d8849a7202445d42565f01441177b --- /dev/null +++ b/comfy/clip_vision_siglip_384.json @@ -0,0 +1,13 @@ +{ + "num_channels": 3, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1152, + "image_size": 384, + "intermediate_size": 4304, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_hidden_layers": 27, + "patch_size": 14, + "image_mean": [0.5, 0.5, 0.5], + "image_std": [0.5, 0.5, 0.5] +} diff --git a/comfy/clip_vision_siglip_512.json b/comfy/clip_vision_siglip_512.json new file mode 100644 index 0000000000000000000000000000000000000000..7fb93ce15e6da3ce7653a7a91ab278d707a096b4 --- /dev/null +++ b/comfy/clip_vision_siglip_512.json @@ -0,0 +1,13 @@ +{ + "num_channels": 3, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1152, + "image_size": 512, + "intermediate_size": 4304, + "model_type": "siglip_vision_model", + "num_attention_heads": 16, + "num_hidden_layers": 27, + "patch_size": 16, + "image_mean": [0.5, 0.5, 0.5], + "image_std": [0.5, 0.5, 0.5] +} diff --git a/comfy/comfy_types/README.md b/comfy/comfy_types/README.md new file mode 100644 index 0000000000000000000000000000000000000000..20a786a5eac805a0b3f41c4fa42be558819b89c8 --- /dev/null +++ b/comfy/comfy_types/README.md @@ -0,0 +1,43 @@ +# Comfy Typing +## Type hinting for ComfyUI Node development + +This module provides type hinting and concrete convenience types for node developers. +If cloned to the custom_nodes directory of ComfyUI, types can be imported using: + +```python +from comfy.comfy_types import IO, ComfyNodeABC, CheckLazyMixin + +class ExampleNode(ComfyNodeABC): + @classmethod + def INPUT_TYPES(s) -> InputTypeDict: + return {"required": {}} +``` + +Full example is in [examples/example_nodes.py](examples/example_nodes.py). + +# Types +A few primary types are documented below. More complete information is available via the docstrings on each type. + +## `IO` + +A string enum of built-in and a few custom data types. Includes the following special types and their requisite plumbing: + +- `ANY`: `"*"` +- `NUMBER`: `"FLOAT,INT"` +- `PRIMITIVE`: `"STRING,FLOAT,INT,BOOLEAN"` + +## `ComfyNodeABC` + +An abstract base class for nodes, offering type-hinting / autocomplete, and somewhat-alright docstrings. + +### Type hinting for `INPUT_TYPES` + +![INPUT_TYPES auto-completion in Visual Studio Code](examples/input_types.png) + +### `INPUT_TYPES` return dict + +![INPUT_TYPES return value type hinting in Visual Studio Code](examples/required_hint.png) + +### Options for individual inputs + +![INPUT_TYPES return value option auto-completion in Visual Studio Code](examples/input_options.png) diff --git a/comfy/comfy_types/__init__.py b/comfy/comfy_types/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..7640fbe3f827bdaac2384e0dcc96d243ec257f2f --- /dev/null +++ b/comfy/comfy_types/__init__.py @@ -0,0 +1,46 @@ +import torch +from typing import Callable, Protocol, TypedDict, Optional, List +from .node_typing import IO, InputTypeDict, ComfyNodeABC, CheckLazyMixin, FileLocator + + +class UnetApplyFunction(Protocol): + """Function signature protocol on comfy.model_base.BaseModel.apply_model""" + + def __call__(self, x: torch.Tensor, t: torch.Tensor, **kwargs) -> torch.Tensor: + pass + + +class UnetApplyConds(TypedDict): + """Optional conditions for unet apply function.""" + + c_concat: Optional[torch.Tensor] + c_crossattn: Optional[torch.Tensor] + control: Optional[torch.Tensor] + transformer_options: Optional[dict] + + +class UnetParams(TypedDict): + # Tensor of shape [B, C, H, W] + input: torch.Tensor + # Tensor of shape [B] + timestep: torch.Tensor + c: UnetApplyConds + # List of [0, 1], [0], [1], ... + # 0 means conditional, 1 means conditional unconditional + cond_or_uncond: List[int] + + +UnetWrapperFunction = Callable[[UnetApplyFunction, UnetParams], torch.Tensor] + + +__all__ = [ + "UnetWrapperFunction", + UnetApplyConds.__name__, + UnetParams.__name__, + UnetApplyFunction.__name__, + IO.__name__, + InputTypeDict.__name__, + ComfyNodeABC.__name__, + CheckLazyMixin.__name__, + FileLocator.__name__, +] diff --git a/comfy/comfy_types/examples/example_nodes.py b/comfy/comfy_types/examples/example_nodes.py new file mode 100644 index 0000000000000000000000000000000000000000..6e19c545153db36b2c2e7481e5c8bc96ccbbe1f1 --- /dev/null +++ b/comfy/comfy_types/examples/example_nodes.py @@ -0,0 +1,28 @@ +from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict +from inspect import cleandoc + + +class ExampleNode(ComfyNodeABC): + """An example node that just adds 1 to an input integer. + + * Requires a modern IDE to provide any benefit (detail: an IDE configured with analysis paths etc). + * This node is intended as an example for developers only. + """ + + DESCRIPTION = cleandoc(__doc__) + CATEGORY = "examples" + + @classmethod + def INPUT_TYPES(s) -> InputTypeDict: + return { + "required": { + "input_int": (IO.INT, {"defaultInput": True}), + } + } + + RETURN_TYPES = (IO.INT,) + RETURN_NAMES = ("input_plus_one",) + FUNCTION = "execute" + + def execute(self, input_int: int): + return (input_int + 1,) diff --git a/comfy/comfy_types/examples/input_options.png b/comfy/comfy_types/examples/input_options.png new file mode 100644 index 0000000000000000000000000000000000000000..ac859bbc0c15728e6f5464f9388f44d5e38dd650 Binary files /dev/null and b/comfy/comfy_types/examples/input_options.png differ diff --git a/comfy/comfy_types/examples/input_types.png b/comfy/comfy_types/examples/input_types.png new file mode 100644 index 0000000000000000000000000000000000000000..27e031ccf9c32958da0d41164b567e252c1b0c5c Binary files /dev/null and b/comfy/comfy_types/examples/input_types.png differ diff --git a/comfy/comfy_types/examples/required_hint.png b/comfy/comfy_types/examples/required_hint.png new file mode 100644 index 0000000000000000000000000000000000000000..22c0182a0aed3245201f2ffac86a6d3ad5b7e2ea Binary files /dev/null and b/comfy/comfy_types/examples/required_hint.png differ diff --git a/comfy/comfy_types/node_typing.py b/comfy/comfy_types/node_typing.py new file mode 100644 index 0000000000000000000000000000000000000000..071b98332ee2a588448fde472f9c0f104e72d13d --- /dev/null +++ b/comfy/comfy_types/node_typing.py @@ -0,0 +1,350 @@ +"""Comfy-specific type hinting""" + +from __future__ import annotations +from typing import Literal, TypedDict, Optional +from typing_extensions import NotRequired +from abc import ABC, abstractmethod +from enum import Enum + + +class StrEnum(str, Enum): + """Base class for string enums. Python's StrEnum is not available until 3.11.""" + + def __str__(self) -> str: + return self.value + + +class IO(StrEnum): + """Node input/output data types. + + Includes functionality for ``"*"`` (`ANY`) and ``"MULTI,TYPES"``. + """ + + STRING = "STRING" + IMAGE = "IMAGE" + MASK = "MASK" + LATENT = "LATENT" + BOOLEAN = "BOOLEAN" + INT = "INT" + FLOAT = "FLOAT" + COMBO = "COMBO" + CONDITIONING = "CONDITIONING" + SAMPLER = "SAMPLER" + SIGMAS = "SIGMAS" + GUIDER = "GUIDER" + NOISE = "NOISE" + CLIP = "CLIP" + CONTROL_NET = "CONTROL_NET" + VAE = "VAE" + MODEL = "MODEL" + LORA_MODEL = "LORA_MODEL" + LOSS_MAP = "LOSS_MAP" + CLIP_VISION = "CLIP_VISION" + CLIP_VISION_OUTPUT = "CLIP_VISION_OUTPUT" + STYLE_MODEL = "STYLE_MODEL" + GLIGEN = "GLIGEN" + UPSCALE_MODEL = "UPSCALE_MODEL" + AUDIO = "AUDIO" + WEBCAM = "WEBCAM" + POINT = "POINT" + FACE_ANALYSIS = "FACE_ANALYSIS" + BBOX = "BBOX" + SEGS = "SEGS" + VIDEO = "VIDEO" + + ANY = "*" + """Always matches any type, but at a price. + + Causes some functionality issues (e.g. reroutes, link types), and should be avoided whenever possible. + """ + NUMBER = "FLOAT,INT" + """A float or an int - could be either""" + PRIMITIVE = "STRING,FLOAT,INT,BOOLEAN" + """Could be any of: string, float, int, or bool""" + + def __ne__(self, value: object) -> bool: + if self == "*" or value == "*": + return False + if not isinstance(value, str): + return True + a = frozenset(self.split(",")) + b = frozenset(value.split(",")) + return not (b.issubset(a) or a.issubset(b)) + + +class RemoteInputOptions(TypedDict): + route: str + """The route to the remote source.""" + refresh_button: bool + """Specifies whether to show a refresh button in the UI below the widget.""" + control_after_refresh: Literal["first", "last"] + """Specifies the control after the refresh button is clicked. If "first", the first item will be automatically selected, and so on.""" + timeout: int + """The maximum amount of time to wait for a response from the remote source in milliseconds.""" + max_retries: int + """The maximum number of retries before aborting the request.""" + refresh: int + """The TTL of the remote input's value in milliseconds. Specifies the interval at which the remote input's value is refreshed.""" + + +class MultiSelectOptions(TypedDict): + placeholder: NotRequired[str] + """The placeholder text to display in the multi-select widget when no items are selected.""" + chip: NotRequired[bool] + """Specifies whether to use chips instead of comma separated values for the multi-select widget.""" + + +class InputTypeOptions(TypedDict): + """Provides type hinting for the return type of the INPUT_TYPES node function. + + Due to IDE limitations with unions, for now all options are available for all types (e.g. `label_on` is hinted even when the type is not `IO.BOOLEAN`). + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/datatypes + """ + + default: NotRequired[bool | str | float | int | list | tuple] + """The default value of the widget""" + defaultInput: NotRequired[bool] + """@deprecated in v1.16 frontend. v1.16 frontend allows input socket and widget to co-exist. + - defaultInput on required inputs should be dropped. + - defaultInput on optional inputs should be replaced with forceInput. + Ref: https://github.com/Comfy-Org/ComfyUI_frontend/pull/3364 + """ + forceInput: NotRequired[bool] + """Forces the input to be an input slot rather than a widget even a widget is available for the input type.""" + lazy: NotRequired[bool] + """Declares that this input uses lazy evaluation""" + rawLink: NotRequired[bool] + """When a link exists, rather than receiving the evaluated value, you will receive the link (i.e. `["nodeId", ]`). Designed for node expansion.""" + tooltip: NotRequired[str] + """Tooltip for the input (or widget), shown on pointer hover""" + socketless: NotRequired[bool] + """All inputs (including widgets) have an input socket to connect links. When ``true``, if there is a widget for this input, no socket will be created. + Available from frontend v1.17.5 + Ref: https://github.com/Comfy-Org/ComfyUI_frontend/pull/3548 + """ + widgetType: NotRequired[str] + """Specifies a type to be used for widget initialization if different from the input type. + Available from frontend v1.18.0 + https://github.com/Comfy-Org/ComfyUI_frontend/pull/3550""" + # class InputTypeNumber(InputTypeOptions): + # default: float | int + min: NotRequired[float] + """The minimum value of a number (``FLOAT`` | ``INT``)""" + max: NotRequired[float] + """The maximum value of a number (``FLOAT`` | ``INT``)""" + step: NotRequired[float] + """The amount to increment or decrement a widget by when stepping up/down (``FLOAT`` | ``INT``)""" + round: NotRequired[float] + """Floats are rounded by this value (``FLOAT``)""" + # class InputTypeBoolean(InputTypeOptions): + # default: bool + label_on: NotRequired[str] + """The label to use in the UI when the bool is True (``BOOLEAN``)""" + label_off: NotRequired[str] + """The label to use in the UI when the bool is False (``BOOLEAN``)""" + # class InputTypeString(InputTypeOptions): + # default: str + multiline: NotRequired[bool] + """Use a multiline text box (``STRING``)""" + placeholder: NotRequired[str] + """Placeholder text to display in the UI when empty (``STRING``)""" + # Deprecated: + # defaultVal: str + dynamicPrompts: NotRequired[bool] + """Causes the front-end to evaluate dynamic prompts (``STRING``)""" + # class InputTypeCombo(InputTypeOptions): + image_upload: NotRequired[bool] + """Specifies whether the input should have an image upload button and image preview attached to it. Requires that the input's name is `image`.""" + image_folder: NotRequired[Literal["input", "output", "temp"]] + """Specifies which folder to get preview images from if the input has the ``image_upload`` flag. + """ + remote: NotRequired[RemoteInputOptions] + """Specifies the configuration for a remote input. + Available after ComfyUI frontend v1.9.7 + https://github.com/Comfy-Org/ComfyUI_frontend/pull/2422""" + control_after_generate: NotRequired[bool] + """Specifies whether a control widget should be added to the input, adding options to automatically change the value after each prompt is queued. Currently only used for INT and COMBO types.""" + options: NotRequired[list[str | int | float]] + """COMBO type only. Specifies the selectable options for the combo widget. + Prefer: + ["COMBO", {"options": ["Option 1", "Option 2", "Option 3"]}] + Over: + [["Option 1", "Option 2", "Option 3"]] + """ + multi_select: NotRequired[MultiSelectOptions] + """COMBO type only. Specifies the configuration for a multi-select widget. + Available after ComfyUI frontend v1.13.4 + https://github.com/Comfy-Org/ComfyUI_frontend/pull/2987""" + + +class HiddenInputTypeDict(TypedDict): + """Provides type hinting for the hidden entry of node INPUT_TYPES.""" + + node_id: NotRequired[Literal["UNIQUE_ID"]] + """UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages).""" + unique_id: NotRequired[Literal["UNIQUE_ID"]] + """UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages).""" + prompt: NotRequired[Literal["PROMPT"]] + """PROMPT is the complete prompt sent by the client to the server. See the prompt object for a full description.""" + extra_pnginfo: NotRequired[Literal["EXTRA_PNGINFO"]] + """EXTRA_PNGINFO is a dictionary that will be copied into the metadata of any .png files saved. Custom nodes can store additional information in this dictionary for saving (or as a way to communicate with a downstream node).""" + dynprompt: NotRequired[Literal["DYNPROMPT"]] + """DYNPROMPT is an instance of comfy_execution.graph.DynamicPrompt. It differs from PROMPT in that it may mutate during the course of execution in response to Node Expansion.""" + + +class InputTypeDict(TypedDict): + """Provides type hinting for node INPUT_TYPES. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/more_on_inputs + """ + + required: NotRequired[dict[str, tuple[IO, InputTypeOptions]]] + """Describes all inputs that must be connected for the node to execute.""" + optional: NotRequired[dict[str, tuple[IO, InputTypeOptions]]] + """Describes inputs which do not need to be connected.""" + hidden: NotRequired[HiddenInputTypeDict] + """Offers advanced functionality and server-client communication. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/more_on_inputs#hidden-inputs + """ + + +class ComfyNodeABC(ABC): + """Abstract base class for Comfy nodes. Includes the names and expected types of attributes. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview + """ + + DESCRIPTION: str + """Node description, shown as a tooltip when hovering over the node. + + Usage:: + + # Explicitly define the description + DESCRIPTION = "Example description here." + + # Use the docstring of the node class. + DESCRIPTION = cleandoc(__doc__) + """ + CATEGORY: str + """The category of the node, as per the "Add Node" menu. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#category + """ + EXPERIMENTAL: bool + """Flags a node as experimental, informing users that it may change or not work as expected.""" + DEPRECATED: bool + """Flags a node as deprecated, indicating to users that they should find alternatives to this node.""" + API_NODE: Optional[bool] + """Flags a node as an API node. See: https://docs.comfy.org/tutorials/api-nodes/overview.""" + + @classmethod + @abstractmethod + def INPUT_TYPES(s) -> InputTypeDict: + """Defines node inputs. + + * Must include the ``required`` key, which describes all inputs that must be connected for the node to execute. + * The ``optional`` key can be added to describe inputs which do not need to be connected. + * The ``hidden`` key offers some advanced functionality. More info at: https://docs.comfy.org/custom-nodes/backend/more_on_inputs#hidden-inputs + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#input-types + """ + return {"required": {}} + + OUTPUT_NODE: bool + """Flags this node as an output node, causing any inputs it requires to be executed. + + If a node is not connected to any output nodes, that node will not be executed. Usage:: + + OUTPUT_NODE = True + + From the docs: + + By default, a node is not considered an output. Set ``OUTPUT_NODE = True`` to specify that it is. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#output-node + """ + INPUT_IS_LIST: bool + """A flag indicating if this node implements the additional code necessary to deal with OUTPUT_IS_LIST nodes. + + All inputs of ``type`` will become ``list[type]``, regardless of how many items are passed in. This also affects ``check_lazy_status``. + + From the docs: + + A node can also override the default input behaviour and receive the whole list in a single call. This is done by setting a class attribute `INPUT_IS_LIST` to ``True``. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lists#list-processing + """ + OUTPUT_IS_LIST: tuple[bool, ...] + """A tuple indicating which node outputs are lists, but will be connected to nodes that expect individual items. + + Connected nodes that do not implement `INPUT_IS_LIST` will be executed once for every item in the list. + + A ``tuple[bool]``, where the items match those in `RETURN_TYPES`:: + + RETURN_TYPES = (IO.INT, IO.INT, IO.STRING) + OUTPUT_IS_LIST = (True, True, False) # The string output will be handled normally + + From the docs: + + In order to tell Comfy that the list being returned should not be wrapped, but treated as a series of data for sequential processing, + the node should provide a class attribute `OUTPUT_IS_LIST`, which is a ``tuple[bool]``, of the same length as `RETURN_TYPES`, + specifying which outputs which should be so treated. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lists#list-processing + """ + + RETURN_TYPES: tuple[IO, ...] + """A tuple representing the outputs of this node. + + Usage:: + + RETURN_TYPES = (IO.INT, "INT", "CUSTOM_TYPE") + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#return-types + """ + RETURN_NAMES: tuple[str, ...] + """The output slot names for each item in `RETURN_TYPES`, e.g. ``RETURN_NAMES = ("count", "filter_string")`` + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#return-names + """ + OUTPUT_TOOLTIPS: tuple[str, ...] + """A tuple of strings to use as tooltips for node outputs, one for each item in `RETURN_TYPES`.""" + FUNCTION: str + """The name of the function to execute as a literal string, e.g. `FUNCTION = "execute"` + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#function + """ + + +class CheckLazyMixin: + """Provides a basic check_lazy_status implementation and type hinting for nodes that use lazy inputs.""" + + def check_lazy_status(self, **kwargs) -> list[str]: + """Returns a list of input names that should be evaluated. + + This basic mixin impl. requires all inputs. + + :kwargs: All node inputs will be included here. If the input is ``None``, it should be assumed that it has not yet been evaluated. \ + When using ``INPUT_IS_LIST = True``, unevaluated will instead be ``(None,)``. + + Params should match the nodes execution ``FUNCTION`` (self, and all inputs by name). + Will be executed repeatedly until it returns an empty list, or all requested items were already evaluated (and sent as params). + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lazy_evaluation#defining-check-lazy-status + """ + + need = [name for name in kwargs if kwargs[name] is None] + return need + + +class FileLocator(TypedDict): + """Provides type hinting for the file location""" + + filename: str + """The filename of the file.""" + subfolder: str + """The subfolder of the file.""" + type: Literal["input", "output", "temp"] + """The root folder of the file.""" diff --git a/comfy/conds.py b/comfy/conds.py new file mode 100644 index 0000000000000000000000000000000000000000..5af3e93eaeecdef08d9e07901b33a70bda60fb43 --- /dev/null +++ b/comfy/conds.py @@ -0,0 +1,137 @@ +import torch +import math +import comfy.utils +import logging + + +class CONDRegular: + def __init__(self, cond): + self.cond = cond + + def _copy_with(self, cond): + return self.__class__(cond) + + def process_cond(self, batch_size, **kwargs): + return self._copy_with(comfy.utils.repeat_to_batch_size(self.cond, batch_size)) + + def can_concat(self, other): + if self.cond.shape != other.cond.shape: + return False + if self.cond.device != other.cond.device: + logging.warning("WARNING: conds not on same device, skipping concat.") + return False + return True + + def concat(self, others): + conds = [self.cond] + for x in others: + conds.append(x.cond) + return torch.cat(conds) + + def size(self): + return list(self.cond.size()) + + +class CONDNoiseShape(CONDRegular): + def process_cond(self, batch_size, area, **kwargs): + data = self.cond + if area is not None: + dims = len(area) // 2 + for i in range(dims): + data = data.narrow(i + 2, area[i + dims], area[i]) + + return self._copy_with(comfy.utils.repeat_to_batch_size(data, batch_size)) + + +class CONDCrossAttn(CONDRegular): + def can_concat(self, other): + s1 = self.cond.shape + s2 = other.cond.shape + if s1 != s2: + if s1[0] != s2[0] or s1[2] != s2[2]: #these 2 cases should not happen + return False + + mult_min = math.lcm(s1[1], s2[1]) + diff = mult_min // min(s1[1], s2[1]) + if diff > 4: #arbitrary limit on the padding because it's probably going to impact performance negatively if it's too much + return False + if self.cond.device != other.cond.device: + logging.warning("WARNING: conds not on same device: skipping concat.") + return False + return True + + def concat(self, others): + conds = [self.cond] + crossattn_max_len = self.cond.shape[1] + for x in others: + c = x.cond + crossattn_max_len = math.lcm(crossattn_max_len, c.shape[1]) + conds.append(c) + + out = [] + for c in conds: + if c.shape[1] < crossattn_max_len: + c = c.repeat(1, crossattn_max_len // c.shape[1], 1) #padding with repeat doesn't change result + out.append(c) + return torch.cat(out) + + +class CONDConstant(CONDRegular): + def __init__(self, cond): + self.cond = cond + + def process_cond(self, batch_size, **kwargs): + return self._copy_with(self.cond) + + def can_concat(self, other): + if self.cond != other.cond: + return False + return True + + def concat(self, others): + return self.cond + + def size(self): + return [1] + + +class CONDList(CONDRegular): + def __init__(self, cond): + self.cond = cond + + def process_cond(self, batch_size, **kwargs): + out = [] + for c in self.cond: + out.append(comfy.utils.repeat_to_batch_size(c, batch_size)) + + return self._copy_with(out) + + def can_concat(self, other): + if len(self.cond) != len(other.cond): + return False + for i in range(len(self.cond)): + if self.cond[i].shape != other.cond[i].shape: + return False + + return True + + def concat(self, others): + out = [] + for i in range(len(self.cond)): + o = [self.cond[i]] + for x in others: + o.append(x.cond[i]) + out.append(torch.cat(o)) + + return out + + def size(self): # hackish implementation to make the mem estimation work + o = 0 + c = 1 + for c in self.cond: + size = c.size() + o += math.prod(size) + if len(size) > 1: + c = size[1] + + return [1, c, o // c] diff --git a/comfy/context_windows.py b/comfy/context_windows.py new file mode 100644 index 0000000000000000000000000000000000000000..041f380f9140b9e41d94399dd8ce781189699efd --- /dev/null +++ b/comfy/context_windows.py @@ -0,0 +1,540 @@ +from __future__ import annotations +from typing import TYPE_CHECKING, Callable +import torch +import numpy as np +import collections +from dataclasses import dataclass +from abc import ABC, abstractmethod +import logging +import comfy.model_management +import comfy.patcher_extension +if TYPE_CHECKING: + from comfy.model_base import BaseModel + from comfy.model_patcher import ModelPatcher + from comfy.controlnet import ControlBase + + +class ContextWindowABC(ABC): + def __init__(self): + ... + + @abstractmethod + def get_tensor(self, full: torch.Tensor) -> torch.Tensor: + """ + Get torch.Tensor applicable to current window. + """ + raise NotImplementedError("Not implemented.") + + @abstractmethod + def add_window(self, full: torch.Tensor, to_add: torch.Tensor) -> torch.Tensor: + """ + Apply torch.Tensor of window to the full tensor, in place. Returns reference to updated full tensor, not a copy. + """ + raise NotImplementedError("Not implemented.") + +class ContextHandlerABC(ABC): + def __init__(self): + ... + + @abstractmethod + def should_use_context(self, model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep: torch.Tensor, model_options: dict[str]) -> bool: + raise NotImplementedError("Not implemented.") + + @abstractmethod + def get_resized_cond(self, cond_in: list[dict], x_in: torch.Tensor, window: ContextWindowABC, device=None) -> list: + raise NotImplementedError("Not implemented.") + + @abstractmethod + def execute(self, calc_cond_batch: Callable, model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep: torch.Tensor, model_options: dict[str]): + raise NotImplementedError("Not implemented.") + + + +class IndexListContextWindow(ContextWindowABC): + def __init__(self, index_list: list[int], dim: int=0): + self.index_list = index_list + self.context_length = len(index_list) + self.dim = dim + + def get_tensor(self, full: torch.Tensor, device=None, dim=None) -> torch.Tensor: + if dim is None: + dim = self.dim + if dim == 0 and full.shape[dim] == 1: + return full + idx = [slice(None)] * dim + [self.index_list] + return full[idx].to(device) + + def add_window(self, full: torch.Tensor, to_add: torch.Tensor, dim=None) -> torch.Tensor: + if dim is None: + dim = self.dim + idx = [slice(None)] * dim + [self.index_list] + full[idx] += to_add + return full + + +class IndexListCallbacks: + EVALUATE_CONTEXT_WINDOWS = "evaluate_context_windows" + COMBINE_CONTEXT_WINDOW_RESULTS = "combine_context_window_results" + EXECUTE_START = "execute_start" + EXECUTE_CLEANUP = "execute_cleanup" + + def init_callbacks(self): + return {} + + +@dataclass +class ContextSchedule: + name: str + func: Callable + +@dataclass +class ContextFuseMethod: + name: str + func: Callable + +ContextResults = collections.namedtuple("ContextResults", ['window_idx', 'sub_conds_out', 'sub_conds', 'window']) +class IndexListContextHandler(ContextHandlerABC): + def __init__(self, context_schedule: ContextSchedule, fuse_method: ContextFuseMethod, context_length: int=1, context_overlap: int=0, context_stride: int=1, closed_loop=False, dim=0): + self.context_schedule = context_schedule + self.fuse_method = fuse_method + self.context_length = context_length + self.context_overlap = context_overlap + self.context_stride = context_stride + self.closed_loop = closed_loop + self.dim = dim + self._step = 0 + + self.callbacks = {} + + def should_use_context(self, model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep: torch.Tensor, model_options: dict[str]) -> bool: + # for now, assume first dim is batch - should have stored on BaseModel in actual implementation + if x_in.size(self.dim) > self.context_length: + logging.info(f"Using context windows {self.context_length} for {x_in.size(self.dim)} frames.") + return True + return False + + def prepare_control_objects(self, control: ControlBase, device=None) -> ControlBase: + if control.previous_controlnet is not None: + self.prepare_control_objects(control.previous_controlnet, device) + return control + + def get_resized_cond(self, cond_in: list[dict], x_in: torch.Tensor, window: IndexListContextWindow, device=None) -> list: + if cond_in is None: + return None + # reuse or resize cond items to match context requirements + resized_cond = [] + # cond object is a list containing a dict - outer list is irrelevant, so just loop through it + for actual_cond in cond_in: + resized_actual_cond = actual_cond.copy() + # now we are in the inner dict - "pooled_output" is a tensor, "control" is a ControlBase object, "model_conds" is dictionary + for key in actual_cond: + try: + cond_item = actual_cond[key] + if isinstance(cond_item, torch.Tensor): + # check that tensor is the expected length - x.size(0) + if self.dim < cond_item.ndim and cond_item.size(self.dim) == x_in.size(self.dim): + # if so, it's subsetting time - tell controls the expected indeces so they can handle them + actual_cond_item = window.get_tensor(cond_item) + resized_actual_cond[key] = actual_cond_item.to(device) + else: + resized_actual_cond[key] = cond_item.to(device) + # look for control + elif key == "control": + resized_actual_cond[key] = self.prepare_control_objects(cond_item, device) + elif isinstance(cond_item, dict): + new_cond_item = cond_item.copy() + # when in dictionary, look for tensors and CONDCrossAttn [comfy/conds.py] (has cond attr that is a tensor) + for cond_key, cond_value in new_cond_item.items(): + if isinstance(cond_value, torch.Tensor): + if cond_value.ndim < self.dim and cond_value.size(0) == x_in.size(self.dim): + new_cond_item[cond_key] = window.get_tensor(cond_value, device) + # if has cond that is a Tensor, check if needs to be subset + elif hasattr(cond_value, "cond") and isinstance(cond_value.cond, torch.Tensor): + if cond_value.cond.ndim < self.dim and cond_value.cond.size(0) == x_in.size(self.dim): + new_cond_item[cond_key] = cond_value._copy_with(window.get_tensor(cond_value.cond, device)) + elif cond_key == "num_video_frames": # for SVD + new_cond_item[cond_key] = cond_value._copy_with(cond_value.cond) + new_cond_item[cond_key].cond = window.context_length + resized_actual_cond[key] = new_cond_item + else: + resized_actual_cond[key] = cond_item + finally: + del cond_item # just in case to prevent VRAM issues + resized_cond.append(resized_actual_cond) + return resized_cond + + def set_step(self, timestep: torch.Tensor, model_options: dict[str]): + mask = torch.isclose(model_options["transformer_options"]["sample_sigmas"], timestep, rtol=0.0001) + matches = torch.nonzero(mask) + if torch.numel(matches) == 0: + raise Exception("No sample_sigmas matched current timestep; something went wrong.") + self._step = int(matches[0].item()) + + def get_context_windows(self, model: BaseModel, x_in: torch.Tensor, model_options: dict[str]) -> list[IndexListContextWindow]: + full_length = x_in.size(self.dim) # TODO: choose dim based on model + context_windows = self.context_schedule.func(full_length, self, model_options) + context_windows = [IndexListContextWindow(window, dim=self.dim) for window in context_windows] + return context_windows + + def execute(self, calc_cond_batch: Callable, model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep: torch.Tensor, model_options: dict[str]): + self.set_step(timestep, model_options) + context_windows = self.get_context_windows(model, x_in, model_options) + enumerated_context_windows = list(enumerate(context_windows)) + + conds_final = [torch.zeros_like(x_in) for _ in conds] + if self.fuse_method.name == ContextFuseMethods.RELATIVE: + counts_final = [torch.ones(get_shape_for_dim(x_in, self.dim), device=x_in.device) for _ in conds] + else: + counts_final = [torch.zeros(get_shape_for_dim(x_in, self.dim), device=x_in.device) for _ in conds] + biases_final = [([0.0] * x_in.shape[self.dim]) for _ in conds] + + for callback in comfy.patcher_extension.get_all_callbacks(IndexListCallbacks.EXECUTE_START, self.callbacks): + callback(self, model, x_in, conds, timestep, model_options) + + for enum_window in enumerated_context_windows: + results = self.evaluate_context_windows(calc_cond_batch, model, x_in, conds, timestep, [enum_window], model_options) + for result in results: + self.combine_context_window_results(x_in, result.sub_conds_out, result.sub_conds, result.window, result.window_idx, len(enumerated_context_windows), timestep, + conds_final, counts_final, biases_final) + try: + # finalize conds + if self.fuse_method.name == ContextFuseMethods.RELATIVE: + # relative is already normalized, so return as is + del counts_final + return conds_final + else: + # normalize conds via division by context usage counts + for i in range(len(conds_final)): + conds_final[i] /= counts_final[i] + del counts_final + return conds_final + finally: + for callback in comfy.patcher_extension.get_all_callbacks(IndexListCallbacks.EXECUTE_CLEANUP, self.callbacks): + callback(self, model, x_in, conds, timestep, model_options) + + def evaluate_context_windows(self, calc_cond_batch: Callable, model: BaseModel, x_in: torch.Tensor, conds, timestep: torch.Tensor, enumerated_context_windows: list[tuple[int, IndexListContextWindow]], + model_options, device=None, first_device=None): + results: list[ContextResults] = [] + for window_idx, window in enumerated_context_windows: + # allow processing to end between context window executions for faster Cancel + comfy.model_management.throw_exception_if_processing_interrupted() + + for callback in comfy.patcher_extension.get_all_callbacks(IndexListCallbacks.EVALUATE_CONTEXT_WINDOWS, self.callbacks): + callback(self, model, x_in, conds, timestep, model_options, window_idx, window, model_options, device, first_device) + + # update exposed params + model_options["transformer_options"]["context_window"] = window + # get subsections of x, timestep, conds + sub_x = window.get_tensor(x_in, device) + sub_timestep = window.get_tensor(timestep, device, dim=0) + sub_conds = [self.get_resized_cond(cond, x_in, window, device) for cond in conds] + + sub_conds_out = calc_cond_batch(model, sub_conds, sub_x, sub_timestep, model_options) + if device is not None: + for i in range(len(sub_conds_out)): + sub_conds_out[i] = sub_conds_out[i].to(x_in.device) + results.append(ContextResults(window_idx, sub_conds_out, sub_conds, window)) + return results + + + def combine_context_window_results(self, x_in: torch.Tensor, sub_conds_out, sub_conds, window: IndexListContextWindow, window_idx: int, total_windows: int, timestep: torch.Tensor, + conds_final: list[torch.Tensor], counts_final: list[torch.Tensor], biases_final: list[torch.Tensor]): + if self.fuse_method.name == ContextFuseMethods.RELATIVE: + for pos, idx in enumerate(window.index_list): + # bias is the influence of a specific index in relation to the whole context window + bias = 1 - abs(idx - (window.index_list[0] + window.index_list[-1]) / 2) / ((window.index_list[-1] - window.index_list[0] + 1e-2) / 2) + bias = max(1e-2, bias) + # take weighted average relative to total bias of current idx + for i in range(len(sub_conds_out)): + bias_total = biases_final[i][idx] + prev_weight = (bias_total / (bias_total + bias)) + new_weight = (bias / (bias_total + bias)) + # account for dims of tensors + idx_window = [slice(None)] * self.dim + [idx] + pos_window = [slice(None)] * self.dim + [pos] + # apply new values + conds_final[i][idx_window] = conds_final[i][idx_window] * prev_weight + sub_conds_out[i][pos_window] * new_weight + biases_final[i][idx] = bias_total + bias + else: + # add conds and counts based on weights of fuse method + weights = get_context_weights(window.context_length, x_in.shape[self.dim], window.index_list, self, sigma=timestep) + weights_tensor = match_weights_to_dim(weights, x_in, self.dim, device=x_in.device) + for i in range(len(sub_conds_out)): + window.add_window(conds_final[i], sub_conds_out[i] * weights_tensor) + window.add_window(counts_final[i], weights_tensor) + + for callback in comfy.patcher_extension.get_all_callbacks(IndexListCallbacks.COMBINE_CONTEXT_WINDOW_RESULTS, self.callbacks): + callback(self, x_in, sub_conds_out, sub_conds, window, window_idx, total_windows, timestep, conds_final, counts_final, biases_final) + + +def _prepare_sampling_wrapper(executor, model, noise_shape: torch.Tensor, *args, **kwargs): + # limit noise_shape length to context_length for more accurate vram use estimation + model_options = kwargs.get("model_options", None) + if model_options is None: + raise Exception("model_options not found in prepare_sampling_wrapper; this should never happen, something went wrong.") + handler: IndexListContextHandler = model_options.get("context_handler", None) + if handler is not None: + noise_shape = list(noise_shape) + noise_shape[handler.dim] = min(noise_shape[handler.dim], handler.context_length) + return executor(model, noise_shape, *args, **kwargs) + + +def create_prepare_sampling_wrapper(model: ModelPatcher): + model.add_wrapper_with_key( + comfy.patcher_extension.WrappersMP.PREPARE_SAMPLING, + "ContextWindows_prepare_sampling", + _prepare_sampling_wrapper + ) + + +def match_weights_to_dim(weights: list[float], x_in: torch.Tensor, dim: int, device=None) -> torch.Tensor: + total_dims = len(x_in.shape) + weights_tensor = torch.Tensor(weights).to(device=device) + for _ in range(dim): + weights_tensor = weights_tensor.unsqueeze(0) + for _ in range(total_dims - dim - 1): + weights_tensor = weights_tensor.unsqueeze(-1) + return weights_tensor + +def get_shape_for_dim(x_in: torch.Tensor, dim: int) -> list[int]: + total_dims = len(x_in.shape) + shape = [] + for _ in range(dim): + shape.append(1) + shape.append(x_in.shape[dim]) + for _ in range(total_dims - dim - 1): + shape.append(1) + return shape + +class ContextSchedules: + UNIFORM_LOOPED = "looped_uniform" + UNIFORM_STANDARD = "standard_uniform" + STATIC_STANDARD = "standard_static" + BATCHED = "batched" + + +# from https://github.com/neggles/animatediff-cli/blob/main/src/animatediff/pipelines/context.py +def create_windows_uniform_looped(num_frames: int, handler: IndexListContextHandler, model_options: dict[str]): + windows = [] + if num_frames < handler.context_length: + windows.append(list(range(num_frames))) + return windows + + context_stride = min(handler.context_stride, int(np.ceil(np.log2(num_frames / handler.context_length))) + 1) + # obtain uniform windows as normal, looping and all + for context_step in 1 << np.arange(context_stride): + pad = int(round(num_frames * ordered_halving(handler._step))) + for j in range( + int(ordered_halving(handler._step) * context_step) + pad, + num_frames + pad + (0 if handler.closed_loop else -handler.context_overlap), + (handler.context_length * context_step - handler.context_overlap), + ): + windows.append([e % num_frames for e in range(j, j + handler.context_length * context_step, context_step)]) + + return windows + +def create_windows_uniform_standard(num_frames: int, handler: IndexListContextHandler, model_options: dict[str]): + # unlike looped, uniform_straight does NOT allow windows that loop back to the beginning; + # instead, they get shifted to the corresponding end of the frames. + # in the case that a window (shifted or not) is identical to the previous one, it gets skipped. + windows = [] + if num_frames <= handler.context_length: + windows.append(list(range(num_frames))) + return windows + + context_stride = min(handler.context_stride, int(np.ceil(np.log2(num_frames / handler.context_length))) + 1) + # first, obtain uniform windows as normal, looping and all + for context_step in 1 << np.arange(context_stride): + pad = int(round(num_frames * ordered_halving(handler._step))) + for j in range( + int(ordered_halving(handler._step) * context_step) + pad, + num_frames + pad + (-handler.context_overlap), + (handler.context_length * context_step - handler.context_overlap), + ): + windows.append([e % num_frames for e in range(j, j + handler.context_length * context_step, context_step)]) + + # now that windows are created, shift any windows that loop, and delete duplicate windows + delete_idxs = [] + win_i = 0 + while win_i < len(windows): + # if window is rolls over itself, need to shift it + is_roll, roll_idx = does_window_roll_over(windows[win_i], num_frames) + if is_roll: + roll_val = windows[win_i][roll_idx] # roll_val might not be 0 for windows of higher strides + shift_window_to_end(windows[win_i], num_frames=num_frames) + # check if next window (cyclical) is missing roll_val + if roll_val not in windows[(win_i+1) % len(windows)]: + # need to insert new window here - just insert window starting at roll_val + windows.insert(win_i+1, list(range(roll_val, roll_val + handler.context_length))) + # delete window if it's not unique + for pre_i in range(0, win_i): + if windows[win_i] == windows[pre_i]: + delete_idxs.append(win_i) + break + win_i += 1 + + # reverse delete_idxs so that they will be deleted in an order that doesn't break idx correlation + delete_idxs.reverse() + for i in delete_idxs: + windows.pop(i) + + return windows + + +def create_windows_static_standard(num_frames: int, handler: IndexListContextHandler, model_options: dict[str]): + windows = [] + if num_frames <= handler.context_length: + windows.append(list(range(num_frames))) + return windows + # always return the same set of windows + delta = handler.context_length - handler.context_overlap + for start_idx in range(0, num_frames, delta): + # if past the end of frames, move start_idx back to allow same context_length + ending = start_idx + handler.context_length + if ending >= num_frames: + final_delta = ending - num_frames + final_start_idx = start_idx - final_delta + windows.append(list(range(final_start_idx, final_start_idx + handler.context_length))) + break + windows.append(list(range(start_idx, start_idx + handler.context_length))) + return windows + + +def create_windows_batched(num_frames: int, handler: IndexListContextHandler, model_options: dict[str]): + windows = [] + if num_frames <= handler.context_length: + windows.append(list(range(num_frames))) + return windows + # always return the same set of windows; + # no overlap, just cut up based on context_length; + # last window size will be different if num_frames % opts.context_length != 0 + for start_idx in range(0, num_frames, handler.context_length): + windows.append(list(range(start_idx, min(start_idx + handler.context_length, num_frames)))) + return windows + + +def create_windows_default(num_frames: int, handler: IndexListContextHandler): + return [list(range(num_frames))] + + +CONTEXT_MAPPING = { + ContextSchedules.UNIFORM_LOOPED: create_windows_uniform_looped, + ContextSchedules.UNIFORM_STANDARD: create_windows_uniform_standard, + ContextSchedules.STATIC_STANDARD: create_windows_static_standard, + ContextSchedules.BATCHED: create_windows_batched, +} + + +def get_matching_context_schedule(context_schedule: str) -> ContextSchedule: + func = CONTEXT_MAPPING.get(context_schedule, None) + if func is None: + raise ValueError(f"Unknown context_schedule '{context_schedule}'.") + return ContextSchedule(context_schedule, func) + + +def get_context_weights(length: int, full_length: int, idxs: list[int], handler: IndexListContextHandler, sigma: torch.Tensor=None): + return handler.fuse_method.func(length, sigma=sigma, handler=handler, full_length=full_length, idxs=idxs) + + +def create_weights_flat(length: int, **kwargs) -> list[float]: + # weight is the same for all + return [1.0] * length + +def create_weights_pyramid(length: int, **kwargs) -> list[float]: + # weight is based on the distance away from the edge of the context window; + # based on weighted average concept in FreeNoise paper + if length % 2 == 0: + max_weight = length // 2 + weight_sequence = list(range(1, max_weight + 1, 1)) + list(range(max_weight, 0, -1)) + else: + max_weight = (length + 1) // 2 + weight_sequence = list(range(1, max_weight, 1)) + [max_weight] + list(range(max_weight - 1, 0, -1)) + return weight_sequence + +def create_weights_overlap_linear(length: int, full_length: int, idxs: list[int], handler: IndexListContextHandler, **kwargs): + # based on code in Kijai's WanVideoWrapper: https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/dbb2523b37e4ccdf45127e5ae33e31362f755c8e/nodes.py#L1302 + # only expected overlap is given different weights + weights_torch = torch.ones((length)) + # blend left-side on all except first window + if min(idxs) > 0: + ramp_up = torch.linspace(1e-37, 1, handler.context_overlap) + weights_torch[:handler.context_overlap] = ramp_up + # blend right-side on all except last window + if max(idxs) < full_length-1: + ramp_down = torch.linspace(1, 1e-37, handler.context_overlap) + weights_torch[-handler.context_overlap:] = ramp_down + return weights_torch + +class ContextFuseMethods: + FLAT = "flat" + PYRAMID = "pyramid" + RELATIVE = "relative" + OVERLAP_LINEAR = "overlap-linear" + + LIST = [PYRAMID, FLAT, OVERLAP_LINEAR] + LIST_STATIC = [PYRAMID, RELATIVE, FLAT, OVERLAP_LINEAR] + + +FUSE_MAPPING = { + ContextFuseMethods.FLAT: create_weights_flat, + ContextFuseMethods.PYRAMID: create_weights_pyramid, + ContextFuseMethods.RELATIVE: create_weights_pyramid, + ContextFuseMethods.OVERLAP_LINEAR: create_weights_overlap_linear, +} + +def get_matching_fuse_method(fuse_method: str) -> ContextFuseMethod: + func = FUSE_MAPPING.get(fuse_method, None) + if func is None: + raise ValueError(f"Unknown fuse_method '{fuse_method}'.") + return ContextFuseMethod(fuse_method, func) + +# Returns fraction that has denominator that is a power of 2 +def ordered_halving(val): + # get binary value, padded with 0s for 64 bits + bin_str = f"{val:064b}" + # flip binary value, padding included + bin_flip = bin_str[::-1] + # convert binary to int + as_int = int(bin_flip, 2) + # divide by 1 << 64, equivalent to 2**64, or 18446744073709551616, + # or b10000000000000000000000000000000000000000000000000000000000000000 (1 with 64 zero's) + return as_int / (1 << 64) + + +def get_missing_indexes(windows: list[list[int]], num_frames: int) -> list[int]: + all_indexes = list(range(num_frames)) + for w in windows: + for val in w: + try: + all_indexes.remove(val) + except ValueError: + pass + return all_indexes + + +def does_window_roll_over(window: list[int], num_frames: int) -> tuple[bool, int]: + prev_val = -1 + for i, val in enumerate(window): + val = val % num_frames + if val < prev_val: + return True, i + prev_val = val + return False, -1 + + +def shift_window_to_start(window: list[int], num_frames: int): + start_val = window[0] + for i in range(len(window)): + # 1) subtract each element by start_val to move vals relative to the start of all frames + # 2) add num_frames and take modulus to get adjusted vals + window[i] = ((window[i] - start_val) + num_frames) % num_frames + + +def shift_window_to_end(window: list[int], num_frames: int): + # 1) shift window to start + shift_window_to_start(window, num_frames) + end_val = window[-1] + end_delta = num_frames - end_val - 1 + for i in range(len(window)): + # 2) add end_delta to each val to slide windows to end + window[i] = window[i] + end_delta diff --git a/comfy/controlnet.py b/comfy/controlnet.py new file mode 100644 index 0000000000000000000000000000000000000000..f08ff4b36bd8fb9e6d0888b2ed75fb08e05d3211 --- /dev/null +++ b/comfy/controlnet.py @@ -0,0 +1,881 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + + +import torch +from enum import Enum +import math +import os +import logging +import comfy.utils +import comfy.model_management +import comfy.model_detection +import comfy.model_patcher +import comfy.ops +import comfy.latent_formats +import comfy.model_base + +import comfy.cldm.cldm +import comfy.t2i_adapter.adapter +import comfy.ldm.cascade.controlnet +import comfy.cldm.mmdit +import comfy.ldm.hydit.controlnet +import comfy.ldm.flux.controlnet +import comfy.ldm.qwen_image.controlnet +import comfy.cldm.dit_embedder +from typing import TYPE_CHECKING +if TYPE_CHECKING: + from comfy.hooks import HookGroup + + +def broadcast_image_to(tensor, target_batch_size, batched_number): + current_batch_size = tensor.shape[0] + if current_batch_size == 1: + return tensor + + per_batch = target_batch_size // batched_number + tensor = tensor[:per_batch] + + if per_batch > tensor.shape[0]: + tensor = torch.cat([tensor] * (per_batch // tensor.shape[0]) + [tensor[:(per_batch % tensor.shape[0])]], dim=0) + + current_batch_size = tensor.shape[0] + if current_batch_size == target_batch_size: + return tensor + else: + return torch.cat([tensor] * batched_number, dim=0) + +class StrengthType(Enum): + CONSTANT = 1 + LINEAR_UP = 2 + +class ControlBase: + def __init__(self): + self.cond_hint_original = None + self.cond_hint = None + self.strength = 1.0 + self.timestep_percent_range = (0.0, 1.0) + self.latent_format = None + self.vae = None + self.global_average_pooling = False + self.timestep_range = None + self.compression_ratio = 8 + self.upscale_algorithm = 'nearest-exact' + self.extra_args = {} + self.previous_controlnet = None + self.extra_conds = [] + self.strength_type = StrengthType.CONSTANT + self.concat_mask = False + self.extra_concat_orig = [] + self.extra_concat = None + self.extra_hooks: HookGroup = None + self.preprocess_image = lambda a: a + + def set_cond_hint(self, cond_hint, strength=1.0, timestep_percent_range=(0.0, 1.0), vae=None, extra_concat=[]): + self.cond_hint_original = cond_hint + self.strength = strength + self.timestep_percent_range = timestep_percent_range + if self.latent_format is not None: + if vae is None: + logging.warning("WARNING: no VAE provided to the controlnet apply node when this controlnet requires one.") + self.vae = vae + self.extra_concat_orig = extra_concat.copy() + if self.concat_mask and len(self.extra_concat_orig) == 0: + self.extra_concat_orig.append(torch.tensor([[[[1.0]]]])) + return self + + def pre_run(self, model, percent_to_timestep_function): + self.timestep_range = (percent_to_timestep_function(self.timestep_percent_range[0]), percent_to_timestep_function(self.timestep_percent_range[1])) + if self.previous_controlnet is not None: + self.previous_controlnet.pre_run(model, percent_to_timestep_function) + + def set_previous_controlnet(self, controlnet): + self.previous_controlnet = controlnet + return self + + def cleanup(self): + if self.previous_controlnet is not None: + self.previous_controlnet.cleanup() + + self.cond_hint = None + self.extra_concat = None + self.timestep_range = None + + def get_models(self): + out = [] + if self.previous_controlnet is not None: + out += self.previous_controlnet.get_models() + return out + + def get_extra_hooks(self): + out = [] + if self.extra_hooks is not None: + out.append(self.extra_hooks) + if self.previous_controlnet is not None: + out += self.previous_controlnet.get_extra_hooks() + return out + + def copy_to(self, c): + c.cond_hint_original = self.cond_hint_original + c.strength = self.strength + c.timestep_percent_range = self.timestep_percent_range + c.global_average_pooling = self.global_average_pooling + c.compression_ratio = self.compression_ratio + c.upscale_algorithm = self.upscale_algorithm + c.latent_format = self.latent_format + c.extra_args = self.extra_args.copy() + c.vae = self.vae + c.extra_conds = self.extra_conds.copy() + c.strength_type = self.strength_type + c.concat_mask = self.concat_mask + c.extra_concat_orig = self.extra_concat_orig.copy() + c.extra_hooks = self.extra_hooks.clone() if self.extra_hooks else None + c.preprocess_image = self.preprocess_image + + def inference_memory_requirements(self, dtype): + if self.previous_controlnet is not None: + return self.previous_controlnet.inference_memory_requirements(dtype) + return 0 + + def control_merge(self, control, control_prev, output_dtype): + out = {'input':[], 'middle':[], 'output': []} + + for key in control: + control_output = control[key] + applied_to = set() + for i in range(len(control_output)): + x = control_output[i] + if x is not None: + if self.global_average_pooling: + x = torch.mean(x, dim=(2, 3), keepdim=True).repeat(1, 1, x.shape[2], x.shape[3]) + + if x not in applied_to: #memory saving strategy, allow shared tensors and only apply strength to shared tensors once + applied_to.add(x) + if self.strength_type == StrengthType.CONSTANT: + x *= self.strength + elif self.strength_type == StrengthType.LINEAR_UP: + x *= (self.strength ** float(len(control_output) - i)) + + if output_dtype is not None and x.dtype != output_dtype: + x = x.to(output_dtype) + + out[key].append(x) + + if control_prev is not None: + for x in ['input', 'middle', 'output']: + o = out[x] + for i in range(len(control_prev[x])): + prev_val = control_prev[x][i] + if i >= len(o): + o.append(prev_val) + elif prev_val is not None: + if o[i] is None: + o[i] = prev_val + else: + if o[i].shape[0] < prev_val.shape[0]: + o[i] = prev_val + o[i] + else: + o[i] = prev_val + o[i] #TODO: change back to inplace add if shared tensors stop being an issue + return out + + def set_extra_arg(self, argument, value=None): + self.extra_args[argument] = value + + +class ControlNet(ControlBase): + def __init__(self, control_model=None, global_average_pooling=False, compression_ratio=8, latent_format=None, load_device=None, manual_cast_dtype=None, extra_conds=["y"], strength_type=StrengthType.CONSTANT, concat_mask=False, preprocess_image=lambda a: a): + super().__init__() + self.control_model = control_model + self.load_device = load_device + if control_model is not None: + self.control_model_wrapped = comfy.model_patcher.ModelPatcher(self.control_model, load_device=load_device, offload_device=comfy.model_management.unet_offload_device()) + + self.compression_ratio = compression_ratio + self.global_average_pooling = global_average_pooling + self.model_sampling_current = None + self.manual_cast_dtype = manual_cast_dtype + self.latent_format = latent_format + self.extra_conds += extra_conds + self.strength_type = strength_type + self.concat_mask = concat_mask + self.preprocess_image = preprocess_image + + def get_control(self, x_noisy, t, cond, batched_number, transformer_options): + control_prev = None + if self.previous_controlnet is not None: + control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number, transformer_options) + + if self.timestep_range is not None: + if t[0] > self.timestep_range[0] or t[0] < self.timestep_range[1]: + if control_prev is not None: + return control_prev + else: + return None + + dtype = self.control_model.dtype + if self.manual_cast_dtype is not None: + dtype = self.manual_cast_dtype + + if self.cond_hint is None or x_noisy.shape[2] * self.compression_ratio != self.cond_hint.shape[2] or x_noisy.shape[3] * self.compression_ratio != self.cond_hint.shape[3]: + if self.cond_hint is not None: + del self.cond_hint + self.cond_hint = None + compression_ratio = self.compression_ratio + if self.vae is not None: + compression_ratio *= self.vae.spacial_compression_encode() + else: + if self.latent_format is not None: + raise ValueError("This Controlnet needs a VAE but none was provided, please use a ControlNetApply node with a VAE input and connect it.") + self.cond_hint = comfy.utils.common_upscale(self.cond_hint_original, x_noisy.shape[-1] * compression_ratio, x_noisy.shape[-2] * compression_ratio, self.upscale_algorithm, "center") + self.cond_hint = self.preprocess_image(self.cond_hint) + if self.vae is not None: + loaded_models = comfy.model_management.loaded_models(only_currently_used=True) + self.cond_hint = self.vae.encode(self.cond_hint.movedim(1, -1)) + comfy.model_management.load_models_gpu(loaded_models) + if self.latent_format is not None: + self.cond_hint = self.latent_format.process_in(self.cond_hint) + if len(self.extra_concat_orig) > 0: + to_concat = [] + for c in self.extra_concat_orig: + c = c.to(self.cond_hint.device) + c = comfy.utils.common_upscale(c, self.cond_hint.shape[-1], self.cond_hint.shape[-2], self.upscale_algorithm, "center") + if c.ndim < self.cond_hint.ndim: + c = c.unsqueeze(2) + c = comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[2], dim=2) + to_concat.append(comfy.utils.repeat_to_batch_size(c, self.cond_hint.shape[0])) + self.cond_hint = torch.cat([self.cond_hint] + to_concat, dim=1) + + self.cond_hint = self.cond_hint.to(device=x_noisy.device, dtype=dtype) + if x_noisy.shape[0] != self.cond_hint.shape[0]: + self.cond_hint = broadcast_image_to(self.cond_hint, x_noisy.shape[0], batched_number) + + context = cond.get('crossattn_controlnet', cond['c_crossattn']) + extra = self.extra_args.copy() + for c in self.extra_conds: + temp = cond.get(c, None) + if temp is not None: + extra[c] = comfy.model_base.convert_tensor(temp, dtype, x_noisy.device) + + timestep = self.model_sampling_current.timestep(t) + x_noisy = self.model_sampling_current.calculate_input(t, x_noisy) + + control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.to(dtype), context=comfy.model_management.cast_to_device(context, x_noisy.device, dtype), **extra) + return self.control_merge(control, control_prev, output_dtype=None) + + def copy(self): + c = ControlNet(None, global_average_pooling=self.global_average_pooling, load_device=self.load_device, manual_cast_dtype=self.manual_cast_dtype) + c.control_model = self.control_model + c.control_model_wrapped = self.control_model_wrapped + self.copy_to(c) + return c + + def get_models(self): + out = super().get_models() + out.append(self.control_model_wrapped) + return out + + def pre_run(self, model, percent_to_timestep_function): + super().pre_run(model, percent_to_timestep_function) + self.model_sampling_current = model.model_sampling + + def cleanup(self): + self.model_sampling_current = None + super().cleanup() + +class ControlLoraOps: + class Linear(torch.nn.Module, comfy.ops.CastWeightBiasOp): + def __init__(self, in_features: int, out_features: int, bias: bool = True, + device=None, dtype=None) -> None: + super().__init__() + self.in_features = in_features + self.out_features = out_features + self.weight = None + self.up = None + self.down = None + self.bias = None + + def forward(self, input): + weight, bias = comfy.ops.cast_bias_weight(self, input) + if self.up is not None: + return torch.nn.functional.linear(input, weight + (torch.mm(self.up.flatten(start_dim=1), self.down.flatten(start_dim=1))).reshape(self.weight.shape).type(input.dtype), bias) + else: + return torch.nn.functional.linear(input, weight, bias) + + class Conv2d(torch.nn.Module, comfy.ops.CastWeightBiasOp): + def __init__( + self, + in_channels, + out_channels, + kernel_size, + stride=1, + padding=0, + dilation=1, + groups=1, + bias=True, + padding_mode='zeros', + device=None, + dtype=None + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.kernel_size = kernel_size + self.stride = stride + self.padding = padding + self.dilation = dilation + self.transposed = False + self.output_padding = 0 + self.groups = groups + self.padding_mode = padding_mode + + self.weight = None + self.bias = None + self.up = None + self.down = None + + + def forward(self, input): + weight, bias = comfy.ops.cast_bias_weight(self, input) + if self.up is not None: + return torch.nn.functional.conv2d(input, weight + (torch.mm(self.up.flatten(start_dim=1), self.down.flatten(start_dim=1))).reshape(self.weight.shape).type(input.dtype), bias, self.stride, self.padding, self.dilation, self.groups) + else: + return torch.nn.functional.conv2d(input, weight, bias, self.stride, self.padding, self.dilation, self.groups) + + +class ControlLora(ControlNet): + def __init__(self, control_weights, global_average_pooling=False, model_options={}): #TODO? model_options + ControlBase.__init__(self) + self.control_weights = control_weights + self.global_average_pooling = global_average_pooling + self.extra_conds += ["y"] + + def pre_run(self, model, percent_to_timestep_function): + super().pre_run(model, percent_to_timestep_function) + controlnet_config = model.model_config.unet_config.copy() + controlnet_config.pop("out_channels") + controlnet_config["hint_channels"] = self.control_weights["input_hint_block.0.weight"].shape[1] + self.manual_cast_dtype = model.manual_cast_dtype + dtype = model.get_dtype() + if self.manual_cast_dtype is None: + class control_lora_ops(ControlLoraOps, comfy.ops.disable_weight_init): + pass + else: + class control_lora_ops(ControlLoraOps, comfy.ops.manual_cast): + pass + dtype = self.manual_cast_dtype + + controlnet_config["operations"] = control_lora_ops + controlnet_config["dtype"] = dtype + self.control_model = comfy.cldm.cldm.ControlNet(**controlnet_config) + self.control_model.to(comfy.model_management.get_torch_device()) + diffusion_model = model.diffusion_model + sd = diffusion_model.state_dict() + + for k in sd: + weight = sd[k] + try: + comfy.utils.set_attr_param(self.control_model, k, weight) + except: + pass + + for k in self.control_weights: + if (k not in {"lora_controlnet"}): + if (k.endswith(".up") or k.endswith(".down") or k.endswith(".weight") or k.endswith(".bias")) and ("__" not in k): + comfy.utils.set_attr_param(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device())) + + def copy(self): + c = ControlLora(self.control_weights, global_average_pooling=self.global_average_pooling) + self.copy_to(c) + return c + + def cleanup(self): + del self.control_model + self.control_model = None + super().cleanup() + + def get_models(self): + out = ControlBase.get_models(self) + return out + + def inference_memory_requirements(self, dtype): + return comfy.utils.calculate_parameters(self.control_weights) * comfy.model_management.dtype_size(dtype) + ControlBase.inference_memory_requirements(self, dtype) + +def controlnet_config(sd, model_options={}): + model_config = comfy.model_detection.model_config_from_unet(sd, "", True) + + unet_dtype = model_options.get("dtype", None) + if unet_dtype is None: + weight_dtype = comfy.utils.weight_dtype(sd) + + supported_inference_dtypes = list(model_config.supported_inference_dtypes) + unet_dtype = comfy.model_management.unet_dtype(model_params=-1, supported_dtypes=supported_inference_dtypes, weight_dtype=weight_dtype) + + load_device = comfy.model_management.get_torch_device() + manual_cast_dtype = comfy.model_management.unet_manual_cast(unet_dtype, load_device) + + operations = model_options.get("custom_operations", None) + if operations is None: + operations = comfy.ops.pick_operations(unet_dtype, manual_cast_dtype, disable_fast_fp8=True) + + offload_device = comfy.model_management.unet_offload_device() + return model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device + +def controlnet_load_state_dict(control_model, sd): + missing, unexpected = control_model.load_state_dict(sd, strict=False) + + if len(missing) > 0: + logging.warning("missing controlnet keys: {}".format(missing)) + + if len(unexpected) > 0: + logging.debug("unexpected controlnet keys: {}".format(unexpected)) + return control_model + + +def load_controlnet_mmdit(sd, model_options={}): + new_sd = comfy.model_detection.convert_diffusers_mmdit(sd, "") + model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(new_sd, model_options=model_options) + num_blocks = comfy.model_detection.count_blocks(new_sd, 'joint_blocks.{}.') + for k in sd: + new_sd[k] = sd[k] + + concat_mask = False + control_latent_channels = new_sd.get("pos_embed_input.proj.weight").shape[1] + if control_latent_channels == 17: #inpaint controlnet + concat_mask = True + + control_model = comfy.cldm.mmdit.ControlNet(num_blocks=num_blocks, control_latent_channels=control_latent_channels, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config) + control_model = controlnet_load_state_dict(control_model, new_sd) + + latent_format = comfy.latent_formats.SD3() + latent_format.shift_factor = 0 #SD3 controlnet weirdness + control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, concat_mask=concat_mask, load_device=load_device, manual_cast_dtype=manual_cast_dtype) + return control + + +class ControlNetSD35(ControlNet): + def pre_run(self, model, percent_to_timestep_function): + if self.control_model.double_y_emb: + missing, unexpected = self.control_model.orig_y_embedder.load_state_dict(model.diffusion_model.y_embedder.state_dict(), strict=False) + else: + missing, unexpected = self.control_model.x_embedder.load_state_dict(model.diffusion_model.x_embedder.state_dict(), strict=False) + super().pre_run(model, percent_to_timestep_function) + + def copy(self): + c = ControlNetSD35(None, global_average_pooling=self.global_average_pooling, load_device=self.load_device, manual_cast_dtype=self.manual_cast_dtype) + c.control_model = self.control_model + c.control_model_wrapped = self.control_model_wrapped + self.copy_to(c) + return c + +def load_controlnet_sd35(sd, model_options={}): + control_type = -1 + if "control_type" in sd: + control_type = round(sd.pop("control_type").item()) + + # blur_cnet = control_type == 0 + canny_cnet = control_type == 1 + depth_cnet = control_type == 2 + + new_sd = {} + for k in comfy.utils.MMDIT_MAP_BASIC: + if k[1] in sd: + new_sd[k[0]] = sd.pop(k[1]) + for k in sd: + new_sd[k] = sd[k] + sd = new_sd + + y_emb_shape = sd["y_embedder.mlp.0.weight"].shape + depth = y_emb_shape[0] // 64 + hidden_size = 64 * depth + num_heads = depth + head_dim = hidden_size // num_heads + num_blocks = comfy.model_detection.count_blocks(new_sd, 'transformer_blocks.{}.') + + load_device = comfy.model_management.get_torch_device() + offload_device = comfy.model_management.unet_offload_device() + unet_dtype = comfy.model_management.unet_dtype(model_params=-1) + + manual_cast_dtype = comfy.model_management.unet_manual_cast(unet_dtype, load_device) + + operations = model_options.get("custom_operations", None) + if operations is None: + operations = comfy.ops.pick_operations(unet_dtype, manual_cast_dtype, disable_fast_fp8=True) + + control_model = comfy.cldm.dit_embedder.ControlNetEmbedder(img_size=None, + patch_size=2, + in_chans=16, + num_layers=num_blocks, + main_model_double=depth, + double_y_emb=y_emb_shape[0] == y_emb_shape[1], + attention_head_dim=head_dim, + num_attention_heads=num_heads, + adm_in_channels=2048, + device=offload_device, + dtype=unet_dtype, + operations=operations) + + control_model = controlnet_load_state_dict(control_model, sd) + + latent_format = comfy.latent_formats.SD3() + preprocess_image = lambda a: a + if canny_cnet: + preprocess_image = lambda a: (a * 255 * 0.5 + 0.5) + elif depth_cnet: + preprocess_image = lambda a: 1.0 - a + + control = ControlNetSD35(control_model, compression_ratio=1, latent_format=latent_format, load_device=load_device, manual_cast_dtype=manual_cast_dtype, preprocess_image=preprocess_image) + return control + + + +def load_controlnet_hunyuandit(controlnet_data, model_options={}): + model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(controlnet_data, model_options=model_options) + + control_model = comfy.ldm.hydit.controlnet.HunYuanControlNet(operations=operations, device=offload_device, dtype=unet_dtype) + control_model = controlnet_load_state_dict(control_model, controlnet_data) + + latent_format = comfy.latent_formats.SDXL() + extra_conds = ['text_embedding_mask', 'encoder_hidden_states_t5', 'text_embedding_mask_t5', 'image_meta_size', 'style', 'cos_cis_img', 'sin_cis_img'] + control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds, strength_type=StrengthType.CONSTANT) + return control + +def load_controlnet_flux_xlabs_mistoline(sd, mistoline=False, model_options={}): + model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(sd, model_options=model_options) + control_model = comfy.ldm.flux.controlnet.ControlNetFlux(mistoline=mistoline, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config) + control_model = controlnet_load_state_dict(control_model, sd) + extra_conds = ['y', 'guidance'] + control = ControlNet(control_model, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds) + return control + +def load_controlnet_flux_instantx(sd, model_options={}): + new_sd = comfy.model_detection.convert_diffusers_mmdit(sd, "") + model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(new_sd, model_options=model_options) + for k in sd: + new_sd[k] = sd[k] + + num_union_modes = 0 + union_cnet = "controlnet_mode_embedder.weight" + if union_cnet in new_sd: + num_union_modes = new_sd[union_cnet].shape[0] + + control_latent_channels = new_sd.get("pos_embed_input.weight").shape[1] // 4 + concat_mask = False + if control_latent_channels == 17: + concat_mask = True + + control_model = comfy.ldm.flux.controlnet.ControlNetFlux(latent_input=True, num_union_modes=num_union_modes, control_latent_channels=control_latent_channels, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config) + control_model = controlnet_load_state_dict(control_model, new_sd) + + latent_format = comfy.latent_formats.Flux() + extra_conds = ['y', 'guidance'] + control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, concat_mask=concat_mask, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds) + return control + +def load_controlnet_qwen_instantx(sd, model_options={}): + model_config, operations, load_device, unet_dtype, manual_cast_dtype, offload_device = controlnet_config(sd, model_options=model_options) + control_latent_channels = sd.get("controlnet_x_embedder.weight").shape[1] + + extra_condition_channels = 0 + concat_mask = False + if control_latent_channels == 68: #inpaint controlnet + extra_condition_channels = control_latent_channels - 64 + concat_mask = True + control_model = comfy.ldm.qwen_image.controlnet.QwenImageControlNetModel(extra_condition_channels=extra_condition_channels, operations=operations, device=offload_device, dtype=unet_dtype, **model_config.unet_config) + control_model = controlnet_load_state_dict(control_model, sd) + latent_format = comfy.latent_formats.Wan21() + extra_conds = [] + control = ControlNet(control_model, compression_ratio=1, latent_format=latent_format, concat_mask=concat_mask, load_device=load_device, manual_cast_dtype=manual_cast_dtype, extra_conds=extra_conds) + return control + +def convert_mistoline(sd): + return comfy.utils.state_dict_prefix_replace(sd, {"single_controlnet_blocks.": "controlnet_single_blocks."}) + + +def load_controlnet_state_dict(state_dict, model=None, model_options={}): + controlnet_data = state_dict + if 'after_proj_list.18.bias' in controlnet_data.keys(): #Hunyuan DiT + return load_controlnet_hunyuandit(controlnet_data, model_options=model_options) + + if "lora_controlnet" in controlnet_data: + return ControlLora(controlnet_data, model_options=model_options) + + controlnet_config = None + supported_inference_dtypes = None + + if "controlnet_cond_embedding.conv_in.weight" in controlnet_data: #diffusers format + controlnet_config = comfy.model_detection.unet_config_from_diffusers_unet(controlnet_data) + diffusers_keys = comfy.utils.unet_to_diffusers(controlnet_config) + diffusers_keys["controlnet_mid_block.weight"] = "middle_block_out.0.weight" + diffusers_keys["controlnet_mid_block.bias"] = "middle_block_out.0.bias" + + count = 0 + loop = True + while loop: + suffix = [".weight", ".bias"] + for s in suffix: + k_in = "controlnet_down_blocks.{}{}".format(count, s) + k_out = "zero_convs.{}.0{}".format(count, s) + if k_in not in controlnet_data: + loop = False + break + diffusers_keys[k_in] = k_out + count += 1 + + count = 0 + loop = True + while loop: + suffix = [".weight", ".bias"] + for s in suffix: + if count == 0: + k_in = "controlnet_cond_embedding.conv_in{}".format(s) + else: + k_in = "controlnet_cond_embedding.blocks.{}{}".format(count - 1, s) + k_out = "input_hint_block.{}{}".format(count * 2, s) + if k_in not in controlnet_data: + k_in = "controlnet_cond_embedding.conv_out{}".format(s) + loop = False + diffusers_keys[k_in] = k_out + count += 1 + + new_sd = {} + for k in diffusers_keys: + if k in controlnet_data: + new_sd[diffusers_keys[k]] = controlnet_data.pop(k) + + if "control_add_embedding.linear_1.bias" in controlnet_data: #Union Controlnet + controlnet_config["union_controlnet_num_control_type"] = controlnet_data["task_embedding"].shape[0] + for k in list(controlnet_data.keys()): + new_k = k.replace('.attn.in_proj_', '.attn.in_proj.') + new_sd[new_k] = controlnet_data.pop(k) + + leftover_keys = controlnet_data.keys() + if len(leftover_keys) > 0: + logging.warning("leftover keys: {}".format(leftover_keys)) + controlnet_data = new_sd + elif "controlnet_blocks.0.weight" in controlnet_data: + if "double_blocks.0.img_attn.norm.key_norm.scale" in controlnet_data: + return load_controlnet_flux_xlabs_mistoline(controlnet_data, model_options=model_options) + elif "pos_embed_input.proj.weight" in controlnet_data: + if "transformer_blocks.0.adaLN_modulation.1.bias" in controlnet_data: + return load_controlnet_sd35(controlnet_data, model_options=model_options) #Stability sd3.5 format + else: + return load_controlnet_mmdit(controlnet_data, model_options=model_options) #SD3 diffusers controlnet + elif "transformer_blocks.0.img_mlp.net.0.proj.weight" in controlnet_data: + return load_controlnet_qwen_instantx(controlnet_data, model_options=model_options) + elif "controlnet_x_embedder.weight" in controlnet_data: + return load_controlnet_flux_instantx(controlnet_data, model_options=model_options) + + elif "controlnet_blocks.0.linear.weight" in controlnet_data: #mistoline flux + return load_controlnet_flux_xlabs_mistoline(convert_mistoline(controlnet_data), mistoline=True, model_options=model_options) + + pth_key = 'control_model.zero_convs.0.0.weight' + pth = False + key = 'zero_convs.0.0.weight' + if pth_key in controlnet_data: + pth = True + key = pth_key + prefix = "control_model." + elif key in controlnet_data: + prefix = "" + else: + net = load_t2i_adapter(controlnet_data, model_options=model_options) + if net is None: + logging.error("error could not detect control model type.") + return net + + if controlnet_config is None: + model_config = comfy.model_detection.model_config_from_unet(controlnet_data, prefix, True) + supported_inference_dtypes = list(model_config.supported_inference_dtypes) + controlnet_config = model_config.unet_config + + unet_dtype = model_options.get("dtype", None) + if unet_dtype is None: + weight_dtype = comfy.utils.weight_dtype(controlnet_data) + + if supported_inference_dtypes is None: + supported_inference_dtypes = [comfy.model_management.unet_dtype()] + + unet_dtype = comfy.model_management.unet_dtype(model_params=-1, supported_dtypes=supported_inference_dtypes, weight_dtype=weight_dtype) + + load_device = comfy.model_management.get_torch_device() + + manual_cast_dtype = comfy.model_management.unet_manual_cast(unet_dtype, load_device) + operations = model_options.get("custom_operations", None) + if operations is None: + operations = comfy.ops.pick_operations(unet_dtype, manual_cast_dtype) + + controlnet_config["operations"] = operations + controlnet_config["dtype"] = unet_dtype + controlnet_config["device"] = comfy.model_management.unet_offload_device() + controlnet_config.pop("out_channels") + controlnet_config["hint_channels"] = controlnet_data["{}input_hint_block.0.weight".format(prefix)].shape[1] + control_model = comfy.cldm.cldm.ControlNet(**controlnet_config) + + if pth: + if 'difference' in controlnet_data: + if model is not None: + comfy.model_management.load_models_gpu([model]) + model_sd = model.model_state_dict() + for x in controlnet_data: + c_m = "control_model." + if x.startswith(c_m): + sd_key = "diffusion_model.{}".format(x[len(c_m):]) + if sd_key in model_sd: + cd = controlnet_data[x] + cd += model_sd[sd_key].type(cd.dtype).to(cd.device) + else: + logging.warning("WARNING: Loaded a diff controlnet without a model. It will very likely not work.") + + class WeightsLoader(torch.nn.Module): + pass + w = WeightsLoader() + w.control_model = control_model + missing, unexpected = w.load_state_dict(controlnet_data, strict=False) + else: + missing, unexpected = control_model.load_state_dict(controlnet_data, strict=False) + + if len(missing) > 0: + logging.warning("missing controlnet keys: {}".format(missing)) + + if len(unexpected) > 0: + logging.debug("unexpected controlnet keys: {}".format(unexpected)) + + global_average_pooling = model_options.get("global_average_pooling", False) + control = ControlNet(control_model, global_average_pooling=global_average_pooling, load_device=load_device, manual_cast_dtype=manual_cast_dtype) + return control + +def load_controlnet(ckpt_path, model=None, model_options={}): + model_options = model_options.copy() + if "global_average_pooling" not in model_options: + filename = os.path.splitext(ckpt_path)[0] + if filename.endswith("_shuffle") or filename.endswith("_shuffle_fp16"): #TODO: smarter way of enabling global_average_pooling + model_options["global_average_pooling"] = True + + cnet = load_controlnet_state_dict(comfy.utils.load_torch_file(ckpt_path, safe_load=True), model=model, model_options=model_options) + if cnet is None: + logging.error("error checkpoint does not contain controlnet or t2i adapter data {}".format(ckpt_path)) + return cnet + +class T2IAdapter(ControlBase): + def __init__(self, t2i_model, channels_in, compression_ratio, upscale_algorithm, device=None): + super().__init__() + self.t2i_model = t2i_model + self.channels_in = channels_in + self.control_input = None + self.compression_ratio = compression_ratio + self.upscale_algorithm = upscale_algorithm + if device is None: + device = comfy.model_management.get_torch_device() + self.device = device + + def scale_image_to(self, width, height): + unshuffle_amount = self.t2i_model.unshuffle_amount + width = math.ceil(width / unshuffle_amount) * unshuffle_amount + height = math.ceil(height / unshuffle_amount) * unshuffle_amount + return width, height + + def get_control(self, x_noisy, t, cond, batched_number, transformer_options): + control_prev = None + if self.previous_controlnet is not None: + control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number, transformer_options) + + if self.timestep_range is not None: + if t[0] > self.timestep_range[0] or t[0] < self.timestep_range[1]: + if control_prev is not None: + return control_prev + else: + return None + + if self.cond_hint is None or x_noisy.shape[2] * self.compression_ratio != self.cond_hint.shape[2] or x_noisy.shape[3] * self.compression_ratio != self.cond_hint.shape[3]: + if self.cond_hint is not None: + del self.cond_hint + self.control_input = None + self.cond_hint = None + width, height = self.scale_image_to(x_noisy.shape[3] * self.compression_ratio, x_noisy.shape[2] * self.compression_ratio) + self.cond_hint = comfy.utils.common_upscale(self.cond_hint_original, width, height, self.upscale_algorithm, "center").float().to(self.device) + if self.channels_in == 1 and self.cond_hint.shape[1] > 1: + self.cond_hint = torch.mean(self.cond_hint, 1, keepdim=True) + if x_noisy.shape[0] != self.cond_hint.shape[0]: + self.cond_hint = broadcast_image_to(self.cond_hint, x_noisy.shape[0], batched_number) + if self.control_input is None: + self.t2i_model.to(x_noisy.dtype) + self.t2i_model.to(self.device) + self.control_input = self.t2i_model(self.cond_hint.to(x_noisy.dtype)) + self.t2i_model.cpu() + + control_input = {} + for k in self.control_input: + control_input[k] = list(map(lambda a: None if a is None else a.clone(), self.control_input[k])) + + return self.control_merge(control_input, control_prev, x_noisy.dtype) + + def copy(self): + c = T2IAdapter(self.t2i_model, self.channels_in, self.compression_ratio, self.upscale_algorithm) + self.copy_to(c) + return c + +def load_t2i_adapter(t2i_data, model_options={}): #TODO: model_options + compression_ratio = 8 + upscale_algorithm = 'nearest-exact' + + if 'adapter' in t2i_data: + t2i_data = t2i_data['adapter'] + if 'adapter.body.0.resnets.0.block1.weight' in t2i_data: #diffusers format + prefix_replace = {} + for i in range(4): + for j in range(2): + prefix_replace["adapter.body.{}.resnets.{}.".format(i, j)] = "body.{}.".format(i * 2 + j) + prefix_replace["adapter.body.{}.".format(i, )] = "body.{}.".format(i * 2) + prefix_replace["adapter."] = "" + t2i_data = comfy.utils.state_dict_prefix_replace(t2i_data, prefix_replace) + keys = t2i_data.keys() + + if "body.0.in_conv.weight" in keys: + cin = t2i_data['body.0.in_conv.weight'].shape[1] + model_ad = comfy.t2i_adapter.adapter.Adapter_light(cin=cin, channels=[320, 640, 1280, 1280], nums_rb=4) + elif 'conv_in.weight' in keys: + cin = t2i_data['conv_in.weight'].shape[1] + channel = t2i_data['conv_in.weight'].shape[0] + ksize = t2i_data['body.0.block2.weight'].shape[2] + use_conv = False + down_opts = list(filter(lambda a: a.endswith("down_opt.op.weight"), keys)) + if len(down_opts) > 0: + use_conv = True + xl = False + if cin == 256 or cin == 768: + xl = True + model_ad = comfy.t2i_adapter.adapter.Adapter(cin=cin, channels=[channel, channel*2, channel*4, channel*4][:4], nums_rb=2, ksize=ksize, sk=True, use_conv=use_conv, xl=xl) + elif "backbone.0.0.weight" in keys: + model_ad = comfy.ldm.cascade.controlnet.ControlNet(c_in=t2i_data['backbone.0.0.weight'].shape[1], proj_blocks=[0, 4, 8, 12, 51, 55, 59, 63]) + compression_ratio = 32 + upscale_algorithm = 'bilinear' + elif "backbone.10.blocks.0.weight" in keys: + model_ad = comfy.ldm.cascade.controlnet.ControlNet(c_in=t2i_data['backbone.0.weight'].shape[1], bottleneck_mode="large", proj_blocks=[0, 4, 8, 12, 51, 55, 59, 63]) + compression_ratio = 1 + upscale_algorithm = 'nearest-exact' + else: + return None + + missing, unexpected = model_ad.load_state_dict(t2i_data) + if len(missing) > 0: + logging.warning("t2i missing {}".format(missing)) + + if len(unexpected) > 0: + logging.debug("t2i unexpected {}".format(unexpected)) + + return T2IAdapter(model_ad, model_ad.input_channels, compression_ratio, upscale_algorithm) diff --git a/comfy/diffusers_convert.py b/comfy/diffusers_convert.py new file mode 100644 index 0000000000000000000000000000000000000000..fb9495348704c4f58b537f524ff6194d572d9fad --- /dev/null +++ b/comfy/diffusers_convert.py @@ -0,0 +1,189 @@ +import re +import torch +import logging + +# conversion code from https://github.com/huggingface/diffusers/blob/main/scripts/convert_diffusers_to_original_stable_diffusion.py + +# ================# +# VAE Conversion # +# ================# + +vae_conversion_map = [ + # (stable-diffusion, HF Diffusers) + ("nin_shortcut", "conv_shortcut"), + ("norm_out", "conv_norm_out"), + ("mid.attn_1.", "mid_block.attentions.0."), +] + +for i in range(4): + # down_blocks have two resnets + for j in range(2): + hf_down_prefix = f"encoder.down_blocks.{i}.resnets.{j}." + sd_down_prefix = f"encoder.down.{i}.block.{j}." + vae_conversion_map.append((sd_down_prefix, hf_down_prefix)) + + if i < 3: + hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0." + sd_downsample_prefix = f"down.{i}.downsample." + vae_conversion_map.append((sd_downsample_prefix, hf_downsample_prefix)) + + hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0." + sd_upsample_prefix = f"up.{3 - i}.upsample." + vae_conversion_map.append((sd_upsample_prefix, hf_upsample_prefix)) + + # up_blocks have three resnets + # also, up blocks in hf are numbered in reverse from sd + for j in range(3): + hf_up_prefix = f"decoder.up_blocks.{i}.resnets.{j}." + sd_up_prefix = f"decoder.up.{3 - i}.block.{j}." + vae_conversion_map.append((sd_up_prefix, hf_up_prefix)) + +# this part accounts for mid blocks in both the encoder and the decoder +for i in range(2): + hf_mid_res_prefix = f"mid_block.resnets.{i}." + sd_mid_res_prefix = f"mid.block_{i + 1}." + vae_conversion_map.append((sd_mid_res_prefix, hf_mid_res_prefix)) + +vae_conversion_map_attn = [ + # (stable-diffusion, HF Diffusers) + ("norm.", "group_norm."), + ("q.", "query."), + ("k.", "key."), + ("v.", "value."), + ("q.", "to_q."), + ("k.", "to_k."), + ("v.", "to_v."), + ("proj_out.", "to_out.0."), + ("proj_out.", "proj_attn."), +] + + +def reshape_weight_for_sd(w, conv3d=False): + # convert HF linear weights to SD conv2d weights + if conv3d: + return w.reshape(*w.shape, 1, 1, 1) + else: + return w.reshape(*w.shape, 1, 1) + + +def convert_vae_state_dict(vae_state_dict): + mapping = {k: k for k in vae_state_dict.keys()} + conv3d = False + for k, v in mapping.items(): + for sd_part, hf_part in vae_conversion_map: + v = v.replace(hf_part, sd_part) + if v.endswith(".conv.weight"): + if not conv3d and vae_state_dict[k].ndim == 5: + conv3d = True + mapping[k] = v + for k, v in mapping.items(): + if "attentions" in k: + for sd_part, hf_part in vae_conversion_map_attn: + v = v.replace(hf_part, sd_part) + mapping[k] = v + new_state_dict = {v: vae_state_dict[k] for k, v in mapping.items()} + weights_to_convert = ["q", "k", "v", "proj_out"] + for k, v in new_state_dict.items(): + for weight_name in weights_to_convert: + if f"mid.attn_1.{weight_name}.weight" in k: + logging.debug(f"Reshaping {k} for SD format") + new_state_dict[k] = reshape_weight_for_sd(v, conv3d=conv3d) + return new_state_dict + + +# =========================# +# Text Encoder Conversion # +# =========================# + + +textenc_conversion_lst = [ + # (stable-diffusion, HF Diffusers) + ("resblocks.", "text_model.encoder.layers."), + ("ln_1", "layer_norm1"), + ("ln_2", "layer_norm2"), + (".c_fc.", ".fc1."), + (".c_proj.", ".fc2."), + (".attn", ".self_attn"), + ("ln_final.", "transformer.text_model.final_layer_norm."), + ("token_embedding.weight", "transformer.text_model.embeddings.token_embedding.weight"), + ("positional_embedding", "transformer.text_model.embeddings.position_embedding.weight"), +] +protected = {re.escape(x[1]): x[0] for x in textenc_conversion_lst} +textenc_pattern = re.compile("|".join(protected.keys())) + +# Ordering is from https://github.com/pytorch/pytorch/blob/master/test/cpp/api/modules.cpp +code2idx = {"q": 0, "k": 1, "v": 2} + + +# This function exists because at the time of writing torch.cat can't do fp8 with cuda +def cat_tensors(tensors): + x = 0 + for t in tensors: + x += t.shape[0] + + shape = [x] + list(tensors[0].shape)[1:] + out = torch.empty(shape, device=tensors[0].device, dtype=tensors[0].dtype) + + x = 0 + for t in tensors: + out[x:x + t.shape[0]] = t + x += t.shape[0] + + return out + + +def convert_text_enc_state_dict_v20(text_enc_dict, prefix=""): + new_state_dict = {} + capture_qkv_weight = {} + capture_qkv_bias = {} + for k, v in text_enc_dict.items(): + if not k.startswith(prefix): + continue + if ( + k.endswith(".self_attn.q_proj.weight") + or k.endswith(".self_attn.k_proj.weight") + or k.endswith(".self_attn.v_proj.weight") + ): + k_pre = k[: -len(".q_proj.weight")] + k_code = k[-len("q_proj.weight")] + if k_pre not in capture_qkv_weight: + capture_qkv_weight[k_pre] = [None, None, None] + capture_qkv_weight[k_pre][code2idx[k_code]] = v + continue + + if ( + k.endswith(".self_attn.q_proj.bias") + or k.endswith(".self_attn.k_proj.bias") + or k.endswith(".self_attn.v_proj.bias") + ): + k_pre = k[: -len(".q_proj.bias")] + k_code = k[-len("q_proj.bias")] + if k_pre not in capture_qkv_bias: + capture_qkv_bias[k_pre] = [None, None, None] + capture_qkv_bias[k_pre][code2idx[k_code]] = v + continue + + text_proj = "transformer.text_projection.weight" + if k.endswith(text_proj): + new_state_dict[k.replace(text_proj, "text_projection")] = v.transpose(0, 1).contiguous() + else: + relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k) + new_state_dict[relabelled_key] = v + + for k_pre, tensors in capture_qkv_weight.items(): + if None in tensors: + raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing") + relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre) + new_state_dict[relabelled_key + ".in_proj_weight"] = cat_tensors(tensors) + + for k_pre, tensors in capture_qkv_bias.items(): + if None in tensors: + raise Exception("CORRUPTED MODEL: one of the q-k-v values for the text encoder was missing") + relabelled_key = textenc_pattern.sub(lambda m: protected[re.escape(m.group(0))], k_pre) + new_state_dict[relabelled_key + ".in_proj_bias"] = cat_tensors(tensors) + + return new_state_dict + + +def convert_text_enc_state_dict(text_enc_dict): + return text_enc_dict diff --git a/comfy/diffusers_load.py b/comfy/diffusers_load.py new file mode 100644 index 0000000000000000000000000000000000000000..56e63a7565f083eb4e3bc484a3a9f90103306a2f --- /dev/null +++ b/comfy/diffusers_load.py @@ -0,0 +1,36 @@ +import os + +import comfy.sd + +def first_file(path, filenames): + for f in filenames: + p = os.path.join(path, f) + if os.path.exists(p): + return p + return None + +def load_diffusers(model_path, output_vae=True, output_clip=True, embedding_directory=None): + diffusion_model_names = ["diffusion_pytorch_model.fp16.safetensors", "diffusion_pytorch_model.safetensors", "diffusion_pytorch_model.fp16.bin", "diffusion_pytorch_model.bin"] + unet_path = first_file(os.path.join(model_path, "unet"), diffusion_model_names) + vae_path = first_file(os.path.join(model_path, "vae"), diffusion_model_names) + + text_encoder_model_names = ["model.fp16.safetensors", "model.safetensors", "pytorch_model.fp16.bin", "pytorch_model.bin"] + text_encoder1_path = first_file(os.path.join(model_path, "text_encoder"), text_encoder_model_names) + text_encoder2_path = first_file(os.path.join(model_path, "text_encoder_2"), text_encoder_model_names) + + text_encoder_paths = [text_encoder1_path] + if text_encoder2_path is not None: + text_encoder_paths.append(text_encoder2_path) + + unet = comfy.sd.load_diffusion_model(unet_path) + + clip = None + if output_clip: + clip = comfy.sd.load_clip(text_encoder_paths, embedding_directory=embedding_directory) + + vae = None + if output_vae: + sd = comfy.utils.load_torch_file(vae_path) + vae = comfy.sd.VAE(sd=sd) + + return (unet, clip, vae) diff --git a/comfy/extra_samplers/uni_pc.py b/comfy/extra_samplers/uni_pc.py new file mode 100644 index 0000000000000000000000000000000000000000..c57e081e45cfaa694e3e78528798f62a4698c056 --- /dev/null +++ b/comfy/extra_samplers/uni_pc.py @@ -0,0 +1,873 @@ +#code taken from: https://github.com/wl-zhao/UniPC and modified + +import torch +import math +import logging + +from tqdm.auto import trange + + +class NoiseScheduleVP: + def __init__( + self, + schedule='discrete', + betas=None, + alphas_cumprod=None, + continuous_beta_0=0.1, + continuous_beta_1=20., + ): + r"""Create a wrapper class for the forward SDE (VP type). + + *** + Update: We support discrete-time diffusion models by implementing a picewise linear interpolation for log_alpha_t. + We recommend to use schedule='discrete' for the discrete-time diffusion models, especially for high-resolution images. + *** + + The forward SDE ensures that the condition distribution q_{t|0}(x_t | x_0) = N ( alpha_t * x_0, sigma_t^2 * I ). + We further define lambda_t = log(alpha_t) - log(sigma_t), which is the half-logSNR (described in the DPM-Solver paper). + Therefore, we implement the functions for computing alpha_t, sigma_t and lambda_t. For t in [0, T], we have: + + log_alpha_t = self.marginal_log_mean_coeff(t) + sigma_t = self.marginal_std(t) + lambda_t = self.marginal_lambda(t) + + Moreover, as lambda(t) is an invertible function, we also support its inverse function: + + t = self.inverse_lambda(lambda_t) + + =============================================================== + + We support both discrete-time DPMs (trained on n = 0, 1, ..., N-1) and continuous-time DPMs (trained on t in [t_0, T]). + + 1. For discrete-time DPMs: + + For discrete-time DPMs trained on n = 0, 1, ..., N-1, we convert the discrete steps to continuous time steps by: + t_i = (i + 1) / N + e.g. for N = 1000, we have t_0 = 1e-3 and T = t_{N-1} = 1. + We solve the corresponding diffusion ODE from time T = 1 to time t_0 = 1e-3. + + Args: + betas: A `torch.Tensor`. The beta array for the discrete-time DPM. (See the original DDPM paper for details) + alphas_cumprod: A `torch.Tensor`. The cumprod alphas for the discrete-time DPM. (See the original DDPM paper for details) + + Note that we always have alphas_cumprod = cumprod(betas). Therefore, we only need to set one of `betas` and `alphas_cumprod`. + + **Important**: Please pay special attention for the args for `alphas_cumprod`: + The `alphas_cumprod` is the \hat{alpha_n} arrays in the notations of DDPM. Specifically, DDPMs assume that + q_{t_n | 0}(x_{t_n} | x_0) = N ( \sqrt{\hat{alpha_n}} * x_0, (1 - \hat{alpha_n}) * I ). + Therefore, the notation \hat{alpha_n} is different from the notation alpha_t in DPM-Solver. In fact, we have + alpha_{t_n} = \sqrt{\hat{alpha_n}}, + and + log(alpha_{t_n}) = 0.5 * log(\hat{alpha_n}). + + + 2. For continuous-time DPMs: + + We support two types of VPSDEs: linear (DDPM) and cosine (improved-DDPM). The hyperparameters for the noise + schedule are the default settings in DDPM and improved-DDPM: + + Args: + beta_min: A `float` number. The smallest beta for the linear schedule. + beta_max: A `float` number. The largest beta for the linear schedule. + cosine_s: A `float` number. The hyperparameter in the cosine schedule. + cosine_beta_max: A `float` number. The hyperparameter in the cosine schedule. + T: A `float` number. The ending time of the forward process. + + =============================================================== + + Args: + schedule: A `str`. The noise schedule of the forward SDE. 'discrete' for discrete-time DPMs, + 'linear' or 'cosine' for continuous-time DPMs. + Returns: + A wrapper object of the forward SDE (VP type). + + =============================================================== + + Example: + + # For discrete-time DPMs, given betas (the beta array for n = 0, 1, ..., N - 1): + >>> ns = NoiseScheduleVP('discrete', betas=betas) + + # For discrete-time DPMs, given alphas_cumprod (the \hat{alpha_n} array for n = 0, 1, ..., N - 1): + >>> ns = NoiseScheduleVP('discrete', alphas_cumprod=alphas_cumprod) + + # For continuous-time DPMs (VPSDE), linear schedule: + >>> ns = NoiseScheduleVP('linear', continuous_beta_0=0.1, continuous_beta_1=20.) + + """ + + if schedule not in ['discrete', 'linear', 'cosine']: + raise ValueError("Unsupported noise schedule {}. The schedule needs to be 'discrete' or 'linear' or 'cosine'".format(schedule)) + + self.schedule = schedule + if schedule == 'discrete': + if betas is not None: + log_alphas = 0.5 * torch.log(1 - betas).cumsum(dim=0) + else: + assert alphas_cumprod is not None + log_alphas = 0.5 * torch.log(alphas_cumprod) + self.total_N = len(log_alphas) + self.T = 1. + self.t_array = torch.linspace(0., 1., self.total_N + 1)[1:].reshape((1, -1)) + self.log_alpha_array = log_alphas.reshape((1, -1,)) + else: + self.total_N = 1000 + self.beta_0 = continuous_beta_0 + self.beta_1 = continuous_beta_1 + self.cosine_s = 0.008 + self.cosine_beta_max = 999. + self.cosine_t_max = math.atan(self.cosine_beta_max * (1. + self.cosine_s) / math.pi) * 2. * (1. + self.cosine_s) / math.pi - self.cosine_s + self.cosine_log_alpha_0 = math.log(math.cos(self.cosine_s / (1. + self.cosine_s) * math.pi / 2.)) + self.schedule = schedule + if schedule == 'cosine': + # For the cosine schedule, T = 1 will have numerical issues. So we manually set the ending time T. + # Note that T = 0.9946 may be not the optimal setting. However, we find it works well. + self.T = 0.9946 + else: + self.T = 1. + + def marginal_log_mean_coeff(self, t): + """ + Compute log(alpha_t) of a given continuous-time label t in [0, T]. + """ + if self.schedule == 'discrete': + return interpolate_fn(t.reshape((-1, 1)), self.t_array.to(t.device), self.log_alpha_array.to(t.device)).reshape((-1)) + elif self.schedule == 'linear': + return -0.25 * t ** 2 * (self.beta_1 - self.beta_0) - 0.5 * t * self.beta_0 + elif self.schedule == 'cosine': + log_alpha_fn = lambda s: torch.log(torch.cos((s + self.cosine_s) / (1. + self.cosine_s) * math.pi / 2.)) + log_alpha_t = log_alpha_fn(t) - self.cosine_log_alpha_0 + return log_alpha_t + + def marginal_alpha(self, t): + """ + Compute alpha_t of a given continuous-time label t in [0, T]. + """ + return torch.exp(self.marginal_log_mean_coeff(t)) + + def marginal_std(self, t): + """ + Compute sigma_t of a given continuous-time label t in [0, T]. + """ + return torch.sqrt(1. - torch.exp(2. * self.marginal_log_mean_coeff(t))) + + def marginal_lambda(self, t): + """ + Compute lambda_t = log(alpha_t) - log(sigma_t) of a given continuous-time label t in [0, T]. + """ + log_mean_coeff = self.marginal_log_mean_coeff(t) + log_std = 0.5 * torch.log(1. - torch.exp(2. * log_mean_coeff)) + return log_mean_coeff - log_std + + def inverse_lambda(self, lamb): + """ + Compute the continuous-time label t in [0, T] of a given half-logSNR lambda_t. + """ + if self.schedule == 'linear': + tmp = 2. * (self.beta_1 - self.beta_0) * torch.logaddexp(-2. * lamb, torch.zeros((1,)).to(lamb)) + Delta = self.beta_0**2 + tmp + return tmp / (torch.sqrt(Delta) + self.beta_0) / (self.beta_1 - self.beta_0) + elif self.schedule == 'discrete': + log_alpha = -0.5 * torch.logaddexp(torch.zeros((1,)).to(lamb.device), -2. * lamb) + t = interpolate_fn(log_alpha.reshape((-1, 1)), torch.flip(self.log_alpha_array.to(lamb.device), [1]), torch.flip(self.t_array.to(lamb.device), [1])) + return t.reshape((-1,)) + else: + log_alpha = -0.5 * torch.logaddexp(-2. * lamb, torch.zeros((1,)).to(lamb)) + t_fn = lambda log_alpha_t: torch.arccos(torch.exp(log_alpha_t + self.cosine_log_alpha_0)) * 2. * (1. + self.cosine_s) / math.pi - self.cosine_s + t = t_fn(log_alpha) + return t + + +def model_wrapper( + model, + noise_schedule, + model_type="noise", + model_kwargs={}, + guidance_type="uncond", + condition=None, + unconditional_condition=None, + guidance_scale=1., + classifier_fn=None, + classifier_kwargs={}, +): + """Create a wrapper function for the noise prediction model. + + DPM-Solver needs to solve the continuous-time diffusion ODEs. For DPMs trained on discrete-time labels, we need to + firstly wrap the model function to a noise prediction model that accepts the continuous time as the input. + + We support four types of the diffusion model by setting `model_type`: + + 1. "noise": noise prediction model. (Trained by predicting noise). + + 2. "x_start": data prediction model. (Trained by predicting the data x_0 at time 0). + + 3. "v": velocity prediction model. (Trained by predicting the velocity). + The "v" prediction is derivation detailed in Appendix D of [1], and is used in Imagen-Video [2]. + + [1] Salimans, Tim, and Jonathan Ho. "Progressive distillation for fast sampling of diffusion models." + arXiv preprint arXiv:2202.00512 (2022). + [2] Ho, Jonathan, et al. "Imagen Video: High Definition Video Generation with Diffusion Models." + arXiv preprint arXiv:2210.02303 (2022). + + 4. "score": marginal score function. (Trained by denoising score matching). + Note that the score function and the noise prediction model follows a simple relationship: + ``` + noise(x_t, t) = -sigma_t * score(x_t, t) + ``` + + We support three types of guided sampling by DPMs by setting `guidance_type`: + 1. "uncond": unconditional sampling by DPMs. + The input `model` has the following format: + `` + model(x, t_input, **model_kwargs) -> noise | x_start | v | score + `` + + 2. "classifier": classifier guidance sampling [3] by DPMs and another classifier. + The input `model` has the following format: + `` + model(x, t_input, **model_kwargs) -> noise | x_start | v | score + `` + + The input `classifier_fn` has the following format: + `` + classifier_fn(x, t_input, cond, **classifier_kwargs) -> logits(x, t_input, cond) + `` + + [3] P. Dhariwal and A. Q. Nichol, "Diffusion models beat GANs on image synthesis," + in Advances in Neural Information Processing Systems, vol. 34, 2021, pp. 8780-8794. + + 3. "classifier-free": classifier-free guidance sampling by conditional DPMs. + The input `model` has the following format: + `` + model(x, t_input, cond, **model_kwargs) -> noise | x_start | v | score + `` + And if cond == `unconditional_condition`, the model output is the unconditional DPM output. + + [4] Ho, Jonathan, and Tim Salimans. "Classifier-free diffusion guidance." + arXiv preprint arXiv:2207.12598 (2022). + + + The `t_input` is the time label of the model, which may be discrete-time labels (i.e. 0 to 999) + or continuous-time labels (i.e. epsilon to T). + + We wrap the model function to accept only `x` and `t_continuous` as inputs, and outputs the predicted noise: + `` + def model_fn(x, t_continuous) -> noise: + t_input = get_model_input_time(t_continuous) + return noise_pred(model, x, t_input, **model_kwargs) + `` + where `t_continuous` is the continuous time labels (i.e. epsilon to T). And we use `model_fn` for DPM-Solver. + + =============================================================== + + Args: + model: A diffusion model with the corresponding format described above. + noise_schedule: A noise schedule object, such as NoiseScheduleVP. + model_type: A `str`. The parameterization type of the diffusion model. + "noise" or "x_start" or "v" or "score". + model_kwargs: A `dict`. A dict for the other inputs of the model function. + guidance_type: A `str`. The type of the guidance for sampling. + "uncond" or "classifier" or "classifier-free". + condition: A pytorch tensor. The condition for the guided sampling. + Only used for "classifier" or "classifier-free" guidance type. + unconditional_condition: A pytorch tensor. The condition for the unconditional sampling. + Only used for "classifier-free" guidance type. + guidance_scale: A `float`. The scale for the guided sampling. + classifier_fn: A classifier function. Only used for the classifier guidance. + classifier_kwargs: A `dict`. A dict for the other inputs of the classifier function. + Returns: + A noise prediction model that accepts the noised data and the continuous time as the inputs. + """ + + def get_model_input_time(t_continuous): + """ + Convert the continuous-time `t_continuous` (in [epsilon, T]) to the model input time. + For discrete-time DPMs, we convert `t_continuous` in [1 / N, 1] to `t_input` in [0, 1000 * (N - 1) / N]. + For continuous-time DPMs, we just use `t_continuous`. + """ + if noise_schedule.schedule == 'discrete': + return (t_continuous - 1. / noise_schedule.total_N) * 1000. + else: + return t_continuous + + def noise_pred_fn(x, t_continuous, cond=None): + if t_continuous.reshape((-1,)).shape[0] == 1: + t_continuous = t_continuous.expand((x.shape[0])) + t_input = get_model_input_time(t_continuous) + output = model(x, t_input, **model_kwargs) + if model_type == "noise": + return output + elif model_type == "x_start": + alpha_t, sigma_t = noise_schedule.marginal_alpha(t_continuous), noise_schedule.marginal_std(t_continuous) + dims = x.dim() + return (x - expand_dims(alpha_t, dims) * output) / expand_dims(sigma_t, dims) + elif model_type == "v": + alpha_t, sigma_t = noise_schedule.marginal_alpha(t_continuous), noise_schedule.marginal_std(t_continuous) + dims = x.dim() + return expand_dims(alpha_t, dims) * output + expand_dims(sigma_t, dims) * x + elif model_type == "score": + sigma_t = noise_schedule.marginal_std(t_continuous) + dims = x.dim() + return -expand_dims(sigma_t, dims) * output + + def cond_grad_fn(x, t_input): + """ + Compute the gradient of the classifier, i.e. nabla_{x} log p_t(cond | x_t). + """ + with torch.enable_grad(): + x_in = x.detach().requires_grad_(True) + log_prob = classifier_fn(x_in, t_input, condition, **classifier_kwargs) + return torch.autograd.grad(log_prob.sum(), x_in)[0] + + def model_fn(x, t_continuous): + """ + The noise predicition model function that is used for DPM-Solver. + """ + if t_continuous.reshape((-1,)).shape[0] == 1: + t_continuous = t_continuous.expand((x.shape[0])) + if guidance_type == "uncond": + return noise_pred_fn(x, t_continuous) + elif guidance_type == "classifier": + assert classifier_fn is not None + t_input = get_model_input_time(t_continuous) + cond_grad = cond_grad_fn(x, t_input) + sigma_t = noise_schedule.marginal_std(t_continuous) + noise = noise_pred_fn(x, t_continuous) + return noise - guidance_scale * expand_dims(sigma_t, dims=cond_grad.dim()) * cond_grad + elif guidance_type == "classifier-free": + if guidance_scale == 1. or unconditional_condition is None: + return noise_pred_fn(x, t_continuous, cond=condition) + else: + x_in = torch.cat([x] * 2) + t_in = torch.cat([t_continuous] * 2) + c_in = torch.cat([unconditional_condition, condition]) + noise_uncond, noise = noise_pred_fn(x_in, t_in, cond=c_in).chunk(2) + return noise_uncond + guidance_scale * (noise - noise_uncond) + + assert model_type in ["noise", "x_start", "v"] + assert guidance_type in ["uncond", "classifier", "classifier-free"] + return model_fn + + +class UniPC: + def __init__( + self, + model_fn, + noise_schedule, + predict_x0=True, + thresholding=False, + max_val=1., + variant='bh1', + ): + """Construct a UniPC. + + We support both data_prediction and noise_prediction. + """ + self.model = model_fn + self.noise_schedule = noise_schedule + self.variant = variant + self.predict_x0 = predict_x0 + self.thresholding = thresholding + self.max_val = max_val + + def dynamic_thresholding_fn(self, x0, t=None): + """ + The dynamic thresholding method. + """ + dims = x0.dim() + p = self.dynamic_thresholding_ratio + s = torch.quantile(torch.abs(x0).reshape((x0.shape[0], -1)), p, dim=1) + s = expand_dims(torch.maximum(s, self.thresholding_max_val * torch.ones_like(s).to(s.device)), dims) + x0 = torch.clamp(x0, -s, s) / s + return x0 + + def noise_prediction_fn(self, x, t): + """ + Return the noise prediction model. + """ + return self.model(x, t) + + def data_prediction_fn(self, x, t): + """ + Return the data prediction model (with thresholding). + """ + noise = self.noise_prediction_fn(x, t) + dims = x.dim() + alpha_t, sigma_t = self.noise_schedule.marginal_alpha(t), self.noise_schedule.marginal_std(t) + x0 = (x - expand_dims(sigma_t, dims) * noise) / expand_dims(alpha_t, dims) + if self.thresholding: + p = 0.995 # A hyperparameter in the paper of "Imagen" [1]. + s = torch.quantile(torch.abs(x0).reshape((x0.shape[0], -1)), p, dim=1) + s = expand_dims(torch.maximum(s, self.max_val * torch.ones_like(s).to(s.device)), dims) + x0 = torch.clamp(x0, -s, s) / s + return x0 + + def model_fn(self, x, t): + """ + Convert the model to the noise prediction model or the data prediction model. + """ + if self.predict_x0: + return self.data_prediction_fn(x, t) + else: + return self.noise_prediction_fn(x, t) + + def get_time_steps(self, skip_type, t_T, t_0, N, device): + """Compute the intermediate time steps for sampling. + """ + if skip_type == 'logSNR': + lambda_T = self.noise_schedule.marginal_lambda(torch.tensor(t_T).to(device)) + lambda_0 = self.noise_schedule.marginal_lambda(torch.tensor(t_0).to(device)) + logSNR_steps = torch.linspace(lambda_T.cpu().item(), lambda_0.cpu().item(), N + 1).to(device) + return self.noise_schedule.inverse_lambda(logSNR_steps) + elif skip_type == 'time_uniform': + return torch.linspace(t_T, t_0, N + 1).to(device) + elif skip_type == 'time_quadratic': + t_order = 2 + t = torch.linspace(t_T**(1. / t_order), t_0**(1. / t_order), N + 1).pow(t_order).to(device) + return t + else: + raise ValueError("Unsupported skip_type {}, need to be 'logSNR' or 'time_uniform' or 'time_quadratic'".format(skip_type)) + + def get_orders_and_timesteps_for_singlestep_solver(self, steps, order, skip_type, t_T, t_0, device): + """ + Get the order of each step for sampling by the singlestep DPM-Solver. + """ + if order == 3: + K = steps // 3 + 1 + if steps % 3 == 0: + orders = [3,] * (K - 2) + [2, 1] + elif steps % 3 == 1: + orders = [3,] * (K - 1) + [1] + else: + orders = [3,] * (K - 1) + [2] + elif order == 2: + if steps % 2 == 0: + K = steps // 2 + orders = [2,] * K + else: + K = steps // 2 + 1 + orders = [2,] * (K - 1) + [1] + elif order == 1: + K = steps + orders = [1,] * steps + else: + raise ValueError("'order' must be '1' or '2' or '3'.") + if skip_type == 'logSNR': + # To reproduce the results in DPM-Solver paper + timesteps_outer = self.get_time_steps(skip_type, t_T, t_0, K, device) + else: + timesteps_outer = self.get_time_steps(skip_type, t_T, t_0, steps, device)[torch.cumsum(torch.tensor([0,] + orders), 0).to(device)] + return timesteps_outer, orders + + def denoise_to_zero_fn(self, x, s): + """ + Denoise at the final step, which is equivalent to solve the ODE from lambda_s to infty by first-order discretization. + """ + return self.data_prediction_fn(x, s) + + def multistep_uni_pc_update(self, x, model_prev_list, t_prev_list, t, order, **kwargs): + if len(t.shape) == 0: + t = t.view(-1) + if 'bh' in self.variant: + return self.multistep_uni_pc_bh_update(x, model_prev_list, t_prev_list, t, order, **kwargs) + else: + assert self.variant == 'vary_coeff' + return self.multistep_uni_pc_vary_update(x, model_prev_list, t_prev_list, t, order, **kwargs) + + def multistep_uni_pc_vary_update(self, x, model_prev_list, t_prev_list, t, order, use_corrector=True): + logging.info(f'using unified predictor-corrector with order {order} (solver type: vary coeff)') + ns = self.noise_schedule + assert order <= len(model_prev_list) + + # first compute rks + t_prev_0 = t_prev_list[-1] + lambda_prev_0 = ns.marginal_lambda(t_prev_0) + lambda_t = ns.marginal_lambda(t) + model_prev_0 = model_prev_list[-1] + sigma_prev_0, sigma_t = ns.marginal_std(t_prev_0), ns.marginal_std(t) + log_alpha_t = ns.marginal_log_mean_coeff(t) + alpha_t = torch.exp(log_alpha_t) + + h = lambda_t - lambda_prev_0 + + rks = [] + D1s = [] + for i in range(1, order): + t_prev_i = t_prev_list[-(i + 1)] + model_prev_i = model_prev_list[-(i + 1)] + lambda_prev_i = ns.marginal_lambda(t_prev_i) + rk = (lambda_prev_i - lambda_prev_0) / h + rks.append(rk) + D1s.append((model_prev_i - model_prev_0) / rk) + + rks.append(1.) + rks = torch.tensor(rks, device=x.device) + + K = len(rks) + # build C matrix + C = [] + + col = torch.ones_like(rks) + for k in range(1, K + 1): + C.append(col) + col = col * rks / (k + 1) + C = torch.stack(C, dim=1) + + if len(D1s) > 0: + D1s = torch.stack(D1s, dim=1) # (B, K) + C_inv_p = torch.linalg.inv(C[:-1, :-1]) + A_p = C_inv_p + + if use_corrector: + C_inv = torch.linalg.inv(C) + A_c = C_inv + + hh = -h if self.predict_x0 else h + h_phi_1 = torch.expm1(hh) + h_phi_ks = [] + factorial_k = 1 + h_phi_k = h_phi_1 + for k in range(1, K + 2): + h_phi_ks.append(h_phi_k) + h_phi_k = h_phi_k / hh - 1 / factorial_k + factorial_k *= (k + 1) + + model_t = None + if self.predict_x0: + x_t_ = ( + sigma_t / sigma_prev_0 * x + - alpha_t * h_phi_1 * model_prev_0 + ) + # now predictor + x_t = x_t_ + if len(D1s) > 0: + # compute the residuals for predictor + for k in range(K - 1): + x_t = x_t - alpha_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_p[k]) + # now corrector + if use_corrector: + model_t = self.model_fn(x_t, t) + D1_t = (model_t - model_prev_0) + x_t = x_t_ + k = 0 + for k in range(K - 1): + x_t = x_t - alpha_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_c[k][:-1]) + x_t = x_t - alpha_t * h_phi_ks[K] * (D1_t * A_c[k][-1]) + else: + log_alpha_prev_0, log_alpha_t = ns.marginal_log_mean_coeff(t_prev_0), ns.marginal_log_mean_coeff(t) + x_t_ = ( + (torch.exp(log_alpha_t - log_alpha_prev_0)) * x + - (sigma_t * h_phi_1) * model_prev_0 + ) + # now predictor + x_t = x_t_ + if len(D1s) > 0: + # compute the residuals for predictor + for k in range(K - 1): + x_t = x_t - sigma_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_p[k]) + # now corrector + if use_corrector: + model_t = self.model_fn(x_t, t) + D1_t = (model_t - model_prev_0) + x_t = x_t_ + k = 0 + for k in range(K - 1): + x_t = x_t - sigma_t * h_phi_ks[k + 1] * torch.einsum('bkchw,k->bchw', D1s, A_c[k][:-1]) + x_t = x_t - sigma_t * h_phi_ks[K] * (D1_t * A_c[k][-1]) + return x_t, model_t + + def multistep_uni_pc_bh_update(self, x, model_prev_list, t_prev_list, t, order, x_t=None, use_corrector=True): + # print(f'using unified predictor-corrector with order {order} (solver type: B(h))') + ns = self.noise_schedule + assert order <= len(model_prev_list) + dims = x.dim() + + # first compute rks + t_prev_0 = t_prev_list[-1] + lambda_prev_0 = ns.marginal_lambda(t_prev_0) + lambda_t = ns.marginal_lambda(t) + model_prev_0 = model_prev_list[-1] + sigma_prev_0, sigma_t = ns.marginal_std(t_prev_0), ns.marginal_std(t) + log_alpha_prev_0, log_alpha_t = ns.marginal_log_mean_coeff(t_prev_0), ns.marginal_log_mean_coeff(t) + alpha_t = torch.exp(log_alpha_t) + + h = lambda_t - lambda_prev_0 + + rks = [] + D1s = [] + for i in range(1, order): + t_prev_i = t_prev_list[-(i + 1)] + model_prev_i = model_prev_list[-(i + 1)] + lambda_prev_i = ns.marginal_lambda(t_prev_i) + rk = ((lambda_prev_i - lambda_prev_0) / h)[0] + rks.append(rk) + D1s.append((model_prev_i - model_prev_0) / rk) + + rks.append(1.) + rks = torch.tensor(rks, device=x.device) + + R = [] + b = [] + + hh = -h[0] if self.predict_x0 else h[0] + h_phi_1 = torch.expm1(hh) # h\phi_1(h) = e^h - 1 + h_phi_k = h_phi_1 / hh - 1 + + factorial_i = 1 + + if self.variant == 'bh1': + B_h = hh + elif self.variant == 'bh2': + B_h = torch.expm1(hh) + else: + raise NotImplementedError() + + for i in range(1, order + 1): + R.append(torch.pow(rks, i - 1)) + b.append(h_phi_k * factorial_i / B_h) + factorial_i *= (i + 1) + h_phi_k = h_phi_k / hh - 1 / factorial_i + + R = torch.stack(R) + b = torch.tensor(b, device=x.device) + + # now predictor + use_predictor = len(D1s) > 0 and x_t is None + if len(D1s) > 0: + D1s = torch.stack(D1s, dim=1) # (B, K) + if x_t is None: + # for order 2, we use a simplified version + if order == 2: + rhos_p = torch.tensor([0.5], device=b.device) + else: + rhos_p = torch.linalg.solve(R[:-1, :-1], b[:-1]) + else: + D1s = None + + if use_corrector: + # print('using corrector') + # for order 1, we use a simplified version + if order == 1: + rhos_c = torch.tensor([0.5], device=b.device) + else: + rhos_c = torch.linalg.solve(R, b) + + model_t = None + if self.predict_x0: + x_t_ = ( + expand_dims(sigma_t / sigma_prev_0, dims) * x + - expand_dims(alpha_t * h_phi_1, dims)* model_prev_0 + ) + + if x_t is None: + if use_predictor: + pred_res = torch.tensordot(D1s, rhos_p, dims=([1], [0])) # torch.einsum('k,bkchw->bchw', rhos_p, D1s) + else: + pred_res = 0 + x_t = x_t_ - expand_dims(alpha_t * B_h, dims) * pred_res + + if use_corrector: + model_t = self.model_fn(x_t, t) + if D1s is not None: + corr_res = torch.tensordot(D1s, rhos_c[:-1], dims=([1], [0])) # torch.einsum('k,bkchw->bchw', rhos_c[:-1], D1s) + else: + corr_res = 0 + D1_t = (model_t - model_prev_0) + x_t = x_t_ - expand_dims(alpha_t * B_h, dims) * (corr_res + rhos_c[-1] * D1_t) + else: + x_t_ = ( + expand_dims(torch.exp(log_alpha_t - log_alpha_prev_0), dims) * x + - expand_dims(sigma_t * h_phi_1, dims) * model_prev_0 + ) + if x_t is None: + if use_predictor: + pred_res = torch.einsum('k,bkchw->bchw', rhos_p, D1s) + else: + pred_res = 0 + x_t = x_t_ - expand_dims(sigma_t * B_h, dims) * pred_res + + if use_corrector: + model_t = self.model_fn(x_t, t) + if D1s is not None: + corr_res = torch.einsum('k,bkchw->bchw', rhos_c[:-1], D1s) + else: + corr_res = 0 + D1_t = (model_t - model_prev_0) + x_t = x_t_ - expand_dims(sigma_t * B_h, dims) * (corr_res + rhos_c[-1] * D1_t) + return x_t, model_t + + + def sample(self, x, timesteps, t_start=None, t_end=None, order=3, skip_type='time_uniform', + method='singlestep', lower_order_final=True, denoise_to_zero=False, solver_type='dpm_solver', + atol=0.0078, rtol=0.05, corrector=False, callback=None, disable_pbar=False + ): + # t_0 = 1. / self.noise_schedule.total_N if t_end is None else t_end + # t_T = self.noise_schedule.T if t_start is None else t_start + steps = len(timesteps) - 1 + if method == 'multistep': + assert steps >= order + # timesteps = self.get_time_steps(skip_type=skip_type, t_T=t_T, t_0=t_0, N=steps, device=device) + assert timesteps.shape[0] - 1 == steps + # with torch.no_grad(): + for step_index in trange(steps, disable=disable_pbar): + if step_index == 0: + vec_t = timesteps[0].expand((x.shape[0])) + model_prev_list = [self.model_fn(x, vec_t)] + t_prev_list = [vec_t] + elif step_index < order: + init_order = step_index + # Init the first `order` values by lower order multistep DPM-Solver. + # for init_order in range(1, order): + vec_t = timesteps[init_order].expand(x.shape[0]) + x, model_x = self.multistep_uni_pc_update(x, model_prev_list, t_prev_list, vec_t, init_order, use_corrector=True) + if model_x is None: + model_x = self.model_fn(x, vec_t) + model_prev_list.append(model_x) + t_prev_list.append(vec_t) + else: + extra_final_step = 0 + if step_index == (steps - 1): + extra_final_step = 1 + for step in range(step_index, step_index + 1 + extra_final_step): + vec_t = timesteps[step].expand(x.shape[0]) + if lower_order_final: + step_order = min(order, steps + 1 - step) + else: + step_order = order + # print('this step order:', step_order) + if step == steps: + # print('do not run corrector at the last step') + use_corrector = False + else: + use_corrector = True + x, model_x = self.multistep_uni_pc_update(x, model_prev_list, t_prev_list, vec_t, step_order, use_corrector=use_corrector) + for i in range(order - 1): + t_prev_list[i] = t_prev_list[i + 1] + model_prev_list[i] = model_prev_list[i + 1] + t_prev_list[-1] = vec_t + # We do not need to evaluate the final model value. + if step < steps: + if model_x is None: + model_x = self.model_fn(x, vec_t) + model_prev_list[-1] = model_x + if callback is not None: + callback({'x': x, 'i': step_index, 'denoised': model_prev_list[-1]}) + else: + raise NotImplementedError() + # if denoise_to_zero: + # x = self.denoise_to_zero_fn(x, torch.ones((x.shape[0],)).to(device) * t_0) + return x + + +############################################################# +# other utility functions +############################################################# + +def interpolate_fn(x, xp, yp): + """ + A piecewise linear function y = f(x), using xp and yp as keypoints. + We implement f(x) in a differentiable way (i.e. applicable for autograd). + The function f(x) is well-defined for all x-axis. (For x beyond the bounds of xp, we use the outmost points of xp to define the linear function.) + + Args: + x: PyTorch tensor with shape [N, C], where N is the batch size, C is the number of channels (we use C = 1 for DPM-Solver). + xp: PyTorch tensor with shape [C, K], where K is the number of keypoints. + yp: PyTorch tensor with shape [C, K]. + Returns: + The function values f(x), with shape [N, C]. + """ + N, K = x.shape[0], xp.shape[1] + all_x = torch.cat([x.unsqueeze(2), xp.unsqueeze(0).repeat((N, 1, 1))], dim=2) + sorted_all_x, x_indices = torch.sort(all_x, dim=2) + x_idx = torch.argmin(x_indices, dim=2) + cand_start_idx = x_idx - 1 + start_idx = torch.where( + torch.eq(x_idx, 0), + torch.tensor(1, device=x.device), + torch.where( + torch.eq(x_idx, K), torch.tensor(K - 2, device=x.device), cand_start_idx, + ), + ) + end_idx = torch.where(torch.eq(start_idx, cand_start_idx), start_idx + 2, start_idx + 1) + start_x = torch.gather(sorted_all_x, dim=2, index=start_idx.unsqueeze(2)).squeeze(2) + end_x = torch.gather(sorted_all_x, dim=2, index=end_idx.unsqueeze(2)).squeeze(2) + start_idx2 = torch.where( + torch.eq(x_idx, 0), + torch.tensor(0, device=x.device), + torch.where( + torch.eq(x_idx, K), torch.tensor(K - 2, device=x.device), cand_start_idx, + ), + ) + y_positions_expanded = yp.unsqueeze(0).expand(N, -1, -1) + start_y = torch.gather(y_positions_expanded, dim=2, index=start_idx2.unsqueeze(2)).squeeze(2) + end_y = torch.gather(y_positions_expanded, dim=2, index=(start_idx2 + 1).unsqueeze(2)).squeeze(2) + cand = start_y + (x - start_x) * (end_y - start_y) / (end_x - start_x) + return cand + + +def expand_dims(v, dims): + """ + Expand the tensor `v` to the dim `dims`. + + Args: + `v`: a PyTorch tensor with shape [N]. + `dim`: a `int`. + Returns: + a PyTorch tensor with shape [N, 1, 1, ..., 1] and the total dimension is `dims`. + """ + return v[(...,) + (None,)*(dims - 1)] + + +class SigmaConvert: + schedule = "" + def marginal_log_mean_coeff(self, sigma): + return 0.5 * torch.log(1 / ((sigma * sigma) + 1)) + + def marginal_alpha(self, t): + return torch.exp(self.marginal_log_mean_coeff(t)) + + def marginal_std(self, t): + return torch.sqrt(1. - torch.exp(2. * self.marginal_log_mean_coeff(t))) + + def marginal_lambda(self, t): + """ + Compute lambda_t = log(alpha_t) - log(sigma_t) of a given continuous-time label t in [0, T]. + """ + log_mean_coeff = self.marginal_log_mean_coeff(t) + log_std = 0.5 * torch.log(1. - torch.exp(2. * log_mean_coeff)) + return log_mean_coeff - log_std + +def predict_eps_sigma(model, input, sigma_in, **kwargs): + sigma = sigma_in.view(sigma_in.shape[:1] + (1,) * (input.ndim - 1)) + input = input * ((sigma ** 2 + 1.0) ** 0.5) + return (input - model(input, sigma_in, **kwargs)) / sigma + + +def sample_unipc(model, noise, sigmas, extra_args=None, callback=None, disable=False, variant='bh1'): + timesteps = sigmas.clone() + if sigmas[-1] == 0: + timesteps = sigmas[:] + timesteps[-1] = 0.001 + else: + timesteps = sigmas.clone() + ns = SigmaConvert() + + noise = noise / torch.sqrt(1.0 + timesteps[0] ** 2.0) + model_type = "noise" + + model_fn = model_wrapper( + lambda input, sigma, **kwargs: predict_eps_sigma(model, input, sigma, **kwargs), + ns, + model_type=model_type, + guidance_type="uncond", + model_kwargs=extra_args, + ) + + order = min(3, len(timesteps) - 2) + uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=False, variant=variant) + x = uni_pc.sample(noise, timesteps=timesteps, skip_type="time_uniform", method="multistep", order=order, lower_order_final=True, callback=callback, disable_pbar=disable) + x /= ns.marginal_alpha(timesteps[-1]) + return x + +def sample_unipc_bh2(model, noise, sigmas, extra_args=None, callback=None, disable=False): + return sample_unipc(model, noise, sigmas, extra_args, callback, disable, variant='bh2') diff --git a/comfy/float.py b/comfy/float.py new file mode 100644 index 0000000000000000000000000000000000000000..521316fd2facaab90583da8487029a365aefd9e7 --- /dev/null +++ b/comfy/float.py @@ -0,0 +1,67 @@ +import torch + +def calc_mantissa(abs_x, exponent, normal_mask, MANTISSA_BITS, EXPONENT_BIAS, generator=None): + mantissa_scaled = torch.where( + normal_mask, + (abs_x / (2.0 ** (exponent - EXPONENT_BIAS)) - 1.0) * (2**MANTISSA_BITS), + (abs_x / (2.0 ** (-EXPONENT_BIAS + 1 - MANTISSA_BITS))) + ) + + mantissa_scaled += torch.rand(mantissa_scaled.size(), dtype=mantissa_scaled.dtype, layout=mantissa_scaled.layout, device=mantissa_scaled.device, generator=generator) + return mantissa_scaled.floor() / (2**MANTISSA_BITS) + +#Not 100% sure about this +def manual_stochastic_round_to_float8(x, dtype, generator=None): + if dtype == torch.float8_e4m3fn: + EXPONENT_BITS, MANTISSA_BITS, EXPONENT_BIAS = 4, 3, 7 + elif dtype == torch.float8_e5m2: + EXPONENT_BITS, MANTISSA_BITS, EXPONENT_BIAS = 5, 2, 15 + else: + raise ValueError("Unsupported dtype") + + x = x.half() + sign = torch.sign(x) + abs_x = x.abs() + sign = torch.where(abs_x == 0, 0, sign) + + # Combine exponent calculation and clamping + exponent = torch.clamp( + torch.floor(torch.log2(abs_x)) + EXPONENT_BIAS, + 0, 2**EXPONENT_BITS - 1 + ) + + # Combine mantissa calculation and rounding + normal_mask = ~(exponent == 0) + + abs_x[:] = calc_mantissa(abs_x, exponent, normal_mask, MANTISSA_BITS, EXPONENT_BIAS, generator=generator) + + sign *= torch.where( + normal_mask, + (2.0 ** (exponent - EXPONENT_BIAS)) * (1.0 + abs_x), + (2.0 ** (-EXPONENT_BIAS + 1)) * abs_x + ) + + inf = torch.finfo(dtype) + torch.clamp(sign, min=inf.min, max=inf.max, out=sign) + return sign + + + +def stochastic_rounding(value, dtype, seed=0): + if dtype == torch.float32: + return value.to(dtype=torch.float32) + if dtype == torch.float16: + return value.to(dtype=torch.float16) + if dtype == torch.bfloat16: + return value.to(dtype=torch.bfloat16) + if dtype == torch.float8_e4m3fn or dtype == torch.float8_e5m2: + generator = torch.Generator(device=value.device) + generator.manual_seed(seed) + output = torch.empty_like(value, dtype=dtype) + num_slices = max(1, (value.numel() / (4096 * 4096))) + slice_size = max(1, round(value.shape[0] / num_slices)) + for i in range(0, value.shape[0], slice_size): + output[i:i+slice_size].copy_(manual_stochastic_round_to_float8(value[i:i+slice_size], dtype, generator=generator)) + return output + + return value.to(dtype=dtype) diff --git a/comfy/gligen.py b/comfy/gligen.py new file mode 100644 index 0000000000000000000000000000000000000000..1d7b6c2f4cd1009ac3c52bc5f68442a91b417048 --- /dev/null +++ b/comfy/gligen.py @@ -0,0 +1,299 @@ +import math +import torch +from torch import nn +from .ldm.modules.attention import CrossAttention, FeedForward +import comfy.ops +ops = comfy.ops.manual_cast + + +class GatedCrossAttentionDense(nn.Module): + def __init__(self, query_dim, context_dim, n_heads, d_head): + super().__init__() + + self.attn = CrossAttention( + query_dim=query_dim, + context_dim=context_dim, + heads=n_heads, + dim_head=d_head, + operations=ops) + self.ff = FeedForward(query_dim, glu=True) + + self.norm1 = ops.LayerNorm(query_dim) + self.norm2 = ops.LayerNorm(query_dim) + + self.register_parameter('alpha_attn', nn.Parameter(torch.tensor(0.))) + self.register_parameter('alpha_dense', nn.Parameter(torch.tensor(0.))) + + # this can be useful: we can externally change magnitude of tanh(alpha) + # for example, when it is set to 0, then the entire model is same as + # original one + self.scale = 1 + + def forward(self, x, objs): + + x = x + self.scale * \ + torch.tanh(self.alpha_attn) * self.attn(self.norm1(x), objs, objs) + x = x + self.scale * \ + torch.tanh(self.alpha_dense) * self.ff(self.norm2(x)) + + return x + + +class GatedSelfAttentionDense(nn.Module): + def __init__(self, query_dim, context_dim, n_heads, d_head): + super().__init__() + + # we need a linear projection since we need cat visual feature and obj + # feature + self.linear = ops.Linear(context_dim, query_dim) + + self.attn = CrossAttention( + query_dim=query_dim, + context_dim=query_dim, + heads=n_heads, + dim_head=d_head, + operations=ops) + self.ff = FeedForward(query_dim, glu=True) + + self.norm1 = ops.LayerNorm(query_dim) + self.norm2 = ops.LayerNorm(query_dim) + + self.register_parameter('alpha_attn', nn.Parameter(torch.tensor(0.))) + self.register_parameter('alpha_dense', nn.Parameter(torch.tensor(0.))) + + # this can be useful: we can externally change magnitude of tanh(alpha) + # for example, when it is set to 0, then the entire model is same as + # original one + self.scale = 1 + + def forward(self, x, objs): + + N_visual = x.shape[1] + objs = self.linear(objs) + + x = x + self.scale * torch.tanh(self.alpha_attn) * self.attn( + self.norm1(torch.cat([x, objs], dim=1)))[:, 0:N_visual, :] + x = x + self.scale * \ + torch.tanh(self.alpha_dense) * self.ff(self.norm2(x)) + + return x + + +class GatedSelfAttentionDense2(nn.Module): + def __init__(self, query_dim, context_dim, n_heads, d_head): + super().__init__() + + # we need a linear projection since we need cat visual feature and obj + # feature + self.linear = ops.Linear(context_dim, query_dim) + + self.attn = CrossAttention( + query_dim=query_dim, context_dim=query_dim, dim_head=d_head, operations=ops) + self.ff = FeedForward(query_dim, glu=True) + + self.norm1 = ops.LayerNorm(query_dim) + self.norm2 = ops.LayerNorm(query_dim) + + self.register_parameter('alpha_attn', nn.Parameter(torch.tensor(0.))) + self.register_parameter('alpha_dense', nn.Parameter(torch.tensor(0.))) + + # this can be useful: we can externally change magnitude of tanh(alpha) + # for example, when it is set to 0, then the entire model is same as + # original one + self.scale = 1 + + def forward(self, x, objs): + + B, N_visual, _ = x.shape + B, N_ground, _ = objs.shape + + objs = self.linear(objs) + + # sanity check + size_v = math.sqrt(N_visual) + size_g = math.sqrt(N_ground) + assert int(size_v) == size_v, "Visual tokens must be square rootable" + assert int(size_g) == size_g, "Grounding tokens must be square rootable" + size_v = int(size_v) + size_g = int(size_g) + + # select grounding token and resize it to visual token size as residual + out = self.attn(self.norm1(torch.cat([x, objs], dim=1)))[ + :, N_visual:, :] + out = out.permute(0, 2, 1).reshape(B, -1, size_g, size_g) + out = torch.nn.functional.interpolate( + out, (size_v, size_v), mode='bicubic') + residual = out.reshape(B, -1, N_visual).permute(0, 2, 1) + + # add residual to visual feature + x = x + self.scale * torch.tanh(self.alpha_attn) * residual + x = x + self.scale * \ + torch.tanh(self.alpha_dense) * self.ff(self.norm2(x)) + + return x + + +class FourierEmbedder(): + def __init__(self, num_freqs=64, temperature=100): + + self.num_freqs = num_freqs + self.temperature = temperature + self.freq_bands = temperature ** (torch.arange(num_freqs) / num_freqs) + + @torch.no_grad() + def __call__(self, x, cat_dim=-1): + "x: arbitrary shape of tensor. dim: cat dim" + out = [] + for freq in self.freq_bands: + out.append(torch.sin(freq * x)) + out.append(torch.cos(freq * x)) + return torch.cat(out, cat_dim) + + +class PositionNet(nn.Module): + def __init__(self, in_dim, out_dim, fourier_freqs=8): + super().__init__() + self.in_dim = in_dim + self.out_dim = out_dim + + self.fourier_embedder = FourierEmbedder(num_freqs=fourier_freqs) + self.position_dim = fourier_freqs * 2 * 4 # 2 is sin&cos, 4 is xyxy + + self.linears = nn.Sequential( + ops.Linear(self.in_dim + self.position_dim, 512), + nn.SiLU(), + ops.Linear(512, 512), + nn.SiLU(), + ops.Linear(512, out_dim), + ) + + self.null_positive_feature = torch.nn.Parameter( + torch.zeros([self.in_dim])) + self.null_position_feature = torch.nn.Parameter( + torch.zeros([self.position_dim])) + + def forward(self, boxes, masks, positive_embeddings): + B, N, _ = boxes.shape + masks = masks.unsqueeze(-1) + positive_embeddings = positive_embeddings + + # embedding position (it may includes padding as placeholder) + xyxy_embedding = self.fourier_embedder(boxes) # B*N*4 --> B*N*C + + # learnable null embedding + positive_null = self.null_positive_feature.to(device=boxes.device, dtype=boxes.dtype).view(1, 1, -1) + xyxy_null = self.null_position_feature.to(device=boxes.device, dtype=boxes.dtype).view(1, 1, -1) + + # replace padding with learnable null embedding + positive_embeddings = positive_embeddings * \ + masks + (1 - masks) * positive_null + xyxy_embedding = xyxy_embedding * masks + (1 - masks) * xyxy_null + + objs = self.linears( + torch.cat([positive_embeddings, xyxy_embedding], dim=-1)) + assert objs.shape == torch.Size([B, N, self.out_dim]) + return objs + + +class Gligen(nn.Module): + def __init__(self, modules, position_net, key_dim): + super().__init__() + self.module_list = nn.ModuleList(modules) + self.position_net = position_net + self.key_dim = key_dim + self.max_objs = 30 + self.current_device = torch.device("cpu") + + def _set_position(self, boxes, masks, positive_embeddings): + objs = self.position_net(boxes, masks, positive_embeddings) + def func(x, extra_options): + key = extra_options["transformer_index"] + module = self.module_list[key] + return module(x, objs.to(device=x.device, dtype=x.dtype)) + return func + + def set_position(self, latent_image_shape, position_params, device): + batch, c, h, w = latent_image_shape + masks = torch.zeros([self.max_objs], device="cpu") + boxes = [] + positive_embeddings = [] + for p in position_params: + x1 = (p[4]) / w + y1 = (p[3]) / h + x2 = (p[4] + p[2]) / w + y2 = (p[3] + p[1]) / h + masks[len(boxes)] = 1.0 + boxes += [torch.tensor((x1, y1, x2, y2)).unsqueeze(0)] + positive_embeddings += [p[0]] + append_boxes = [] + append_conds = [] + if len(boxes) < self.max_objs: + append_boxes = [torch.zeros( + [self.max_objs - len(boxes), 4], device="cpu")] + append_conds = [torch.zeros( + [self.max_objs - len(boxes), self.key_dim], device="cpu")] + + box_out = torch.cat( + boxes + append_boxes).unsqueeze(0).repeat(batch, 1, 1) + masks = masks.unsqueeze(0).repeat(batch, 1) + conds = torch.cat(positive_embeddings + + append_conds).unsqueeze(0).repeat(batch, 1, 1) + return self._set_position( + box_out.to(device), + masks.to(device), + conds.to(device)) + + def set_empty(self, latent_image_shape, device): + batch, c, h, w = latent_image_shape + masks = torch.zeros([self.max_objs], device="cpu").repeat(batch, 1) + box_out = torch.zeros([self.max_objs, 4], + device="cpu").repeat(batch, 1, 1) + conds = torch.zeros([self.max_objs, self.key_dim], + device="cpu").repeat(batch, 1, 1) + return self._set_position( + box_out.to(device), + masks.to(device), + conds.to(device)) + + +def load_gligen(sd): + sd_k = sd.keys() + output_list = [] + key_dim = 768 + for a in ["input_blocks", "middle_block", "output_blocks"]: + for b in range(20): + k_temp = filter(lambda k: "{}.{}.".format(a, b) + in k and ".fuser." in k, sd_k) + k_temp = map(lambda k: (k, k.split(".fuser.")[-1]), k_temp) + + n_sd = {} + for k in k_temp: + n_sd[k[1]] = sd[k[0]] + if len(n_sd) > 0: + query_dim = n_sd["linear.weight"].shape[0] + key_dim = n_sd["linear.weight"].shape[1] + + if key_dim == 768: # SD1.x + n_heads = 8 + d_head = query_dim // n_heads + else: + d_head = 64 + n_heads = query_dim // d_head + + gated = GatedSelfAttentionDense( + query_dim, key_dim, n_heads, d_head) + gated.load_state_dict(n_sd, strict=False) + output_list.append(gated) + + if "position_net.null_positive_feature" in sd_k: + in_dim = sd["position_net.null_positive_feature"].shape[0] + out_dim = sd["position_net.linears.4.weight"].shape[0] + + class WeightsLoader(torch.nn.Module): + pass + w = WeightsLoader() + w.position_net = PositionNet(in_dim, out_dim) + w.load_state_dict(sd, strict=False) + + gligen = Gligen(output_list, w.position_net, key_dim) + return gligen diff --git a/comfy/hooks.py b/comfy/hooks.py new file mode 100644 index 0000000000000000000000000000000000000000..9d07310729020a033f705395433c318152432935 --- /dev/null +++ b/comfy/hooks.py @@ -0,0 +1,785 @@ +from __future__ import annotations +from typing import TYPE_CHECKING, Callable +import enum +import math +import torch +import numpy as np +import itertools +import logging + +if TYPE_CHECKING: + from comfy.model_patcher import ModelPatcher, PatcherInjection + from comfy.model_base import BaseModel + from comfy.sd import CLIP +import comfy.lora +import comfy.model_management +import comfy.patcher_extension +from node_helpers import conditioning_set_values + +# ####################################################################################################### +# Hooks explanation +# ------------------- +# The purpose of hooks is to allow conds to influence sampling without the need for ComfyUI core code to +# make explicit special cases like it does for ControlNet and GLIGEN. +# +# This is necessary for nodes/features that are intended for use with masked or scheduled conds, or those +# that should run special code when a 'marked' cond is used in sampling. +# ####################################################################################################### + +class EnumHookMode(enum.Enum): + ''' + Priority of hook memory optimization vs. speed, mostly related to WeightHooks. + + MinVram: No caching will occur for any operations related to hooks. + MaxSpeed: Excess VRAM (and RAM, once VRAM is sufficiently depleted) will be used to cache hook weights when switching hook groups. + ''' + MinVram = "minvram" + MaxSpeed = "maxspeed" + +class EnumHookType(enum.Enum): + ''' + Hook types, each of which has different expected behavior. + ''' + Weight = "weight" + ObjectPatch = "object_patch" + AdditionalModels = "add_models" + TransformerOptions = "transformer_options" + Injections = "add_injections" + +class EnumWeightTarget(enum.Enum): + Model = "model" + Clip = "clip" + +class EnumHookScope(enum.Enum): + ''' + Determines if hook should be limited in its influence over sampling. + + AllConditioning: hook will affect all conds used in sampling. + HookedOnly: hook will only affect the conds it was attached to. + ''' + AllConditioning = "all_conditioning" + HookedOnly = "hooked_only" + + +class _HookRef: + pass + + +def default_should_register(hook: Hook, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + '''Example for how custom_should_register function can look like.''' + return True + + +def create_target_dict(target: EnumWeightTarget=None, **kwargs) -> dict[str]: + '''Creates base dictionary for use with Hooks' target param.''' + d = {} + if target is not None: + d['target'] = target + d.update(kwargs) + return d + + +class Hook: + def __init__(self, hook_type: EnumHookType=None, hook_ref: _HookRef=None, hook_id: str=None, + hook_keyframe: HookKeyframeGroup=None, hook_scope=EnumHookScope.AllConditioning): + self.hook_type = hook_type + '''Enum identifying the general class of this hook.''' + self.hook_ref = hook_ref if hook_ref else _HookRef() + '''Reference shared between hook clones that have the same value. Should NOT be modified.''' + self.hook_id = hook_id + '''Optional string ID to identify hook; useful if need to consolidate duplicates at registration time.''' + self.hook_keyframe = hook_keyframe if hook_keyframe else HookKeyframeGroup() + '''Keyframe storage that can be referenced to get strength for current sampling step.''' + self.hook_scope = hook_scope + '''Scope of where this hook should apply in terms of the conds used in sampling run.''' + self.custom_should_register = default_should_register + '''Can be overriden with a compatible function to decide if this hook should be registered without the need to override .should_register''' + + @property + def strength(self): + return self.hook_keyframe.strength + + def initialize_timesteps(self, model: BaseModel): + self.reset() + self.hook_keyframe.initialize_timesteps(model) + + def reset(self): + self.hook_keyframe.reset() + + def clone(self): + c: Hook = self.__class__() + c.hook_type = self.hook_type + c.hook_ref = self.hook_ref + c.hook_id = self.hook_id + c.hook_keyframe = self.hook_keyframe + c.hook_scope = self.hook_scope + c.custom_should_register = self.custom_should_register + return c + + def should_register(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + return self.custom_should_register(self, model, model_options, target_dict, registered) + + def add_hook_patches(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + raise NotImplementedError("add_hook_patches should be defined for Hook subclasses") + + def __eq__(self, other: Hook): + return self.__class__ == other.__class__ and self.hook_ref == other.hook_ref + + def __hash__(self): + return hash(self.hook_ref) + +class WeightHook(Hook): + ''' + Hook responsible for tracking weights to be applied to some model/clip. + + Note, value of hook_scope is ignored and is treated as HookedOnly. + ''' + def __init__(self, strength_model=1.0, strength_clip=1.0): + super().__init__(hook_type=EnumHookType.Weight, hook_scope=EnumHookScope.HookedOnly) + self.weights: dict = None + self.weights_clip: dict = None + self.need_weight_init = True + self._strength_model = strength_model + self._strength_clip = strength_clip + self.hook_scope = EnumHookScope.HookedOnly # this value does not matter for WeightHooks, just for docs + + @property + def strength_model(self): + return self._strength_model * self.strength + + @property + def strength_clip(self): + return self._strength_clip * self.strength + + def add_hook_patches(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + if not self.should_register(model, model_options, target_dict, registered): + return False + weights = None + + target = target_dict.get('target', None) + if target == EnumWeightTarget.Clip: + strength = self._strength_clip + else: + strength = self._strength_model + + if self.need_weight_init: + key_map = {} + if target == EnumWeightTarget.Clip: + key_map = comfy.lora.model_lora_keys_clip(model.model, key_map) + else: + key_map = comfy.lora.model_lora_keys_unet(model.model, key_map) + weights = comfy.lora.load_lora(self.weights, key_map, log_missing=False) + else: + if target == EnumWeightTarget.Clip: + weights = self.weights_clip + else: + weights = self.weights + model.add_hook_patches(hook=self, patches=weights, strength_patch=strength) + registered.add(self) + return True + # TODO: add logs about any keys that were not applied + + def clone(self): + c: WeightHook = super().clone() + c.weights = self.weights + c.weights_clip = self.weights_clip + c.need_weight_init = self.need_weight_init + c._strength_model = self._strength_model + c._strength_clip = self._strength_clip + return c + +class ObjectPatchHook(Hook): + def __init__(self, object_patches: dict[str]=None, + hook_scope=EnumHookScope.AllConditioning): + super().__init__(hook_type=EnumHookType.ObjectPatch) + self.object_patches = object_patches + self.hook_scope = hook_scope + + def clone(self): + c: ObjectPatchHook = super().clone() + c.object_patches = self.object_patches + return c + + def add_hook_patches(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + raise NotImplementedError("ObjectPatchHook is not supported yet in ComfyUI.") + +class AdditionalModelsHook(Hook): + ''' + Hook responsible for telling model management any additional models that should be loaded. + + Note, value of hook_scope is ignored and is treated as AllConditioning. + ''' + def __init__(self, models: list[ModelPatcher]=None, key: str=None): + super().__init__(hook_type=EnumHookType.AdditionalModels) + self.models = models + self.key = key + + def clone(self): + c: AdditionalModelsHook = super().clone() + c.models = self.models.copy() if self.models else self.models + c.key = self.key + return c + + def add_hook_patches(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + if not self.should_register(model, model_options, target_dict, registered): + return False + registered.add(self) + return True + +class TransformerOptionsHook(Hook): + ''' + Hook responsible for adding wrappers, callbacks, patches, or anything else related to transformer_options. + ''' + def __init__(self, transformers_dict: dict[str, dict[str, dict[str, list[Callable]]]]=None, + hook_scope=EnumHookScope.AllConditioning): + super().__init__(hook_type=EnumHookType.TransformerOptions) + self.transformers_dict = transformers_dict + self.hook_scope = hook_scope + self._skip_adding = False + '''Internal value used to avoid double load of transformer_options when hook_scope is AllConditioning.''' + + def clone(self): + c: TransformerOptionsHook = super().clone() + c.transformers_dict = self.transformers_dict + c._skip_adding = self._skip_adding + return c + + def add_hook_patches(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + if not self.should_register(model, model_options, target_dict, registered): + return False + # NOTE: to_load_options will be used to manually load patches/wrappers/callbacks from hooks + self._skip_adding = False + if self.hook_scope == EnumHookScope.AllConditioning: + add_model_options = {"transformer_options": self.transformers_dict, + "to_load_options": self.transformers_dict} + # skip_adding if included in AllConditioning to avoid double loading + self._skip_adding = True + else: + add_model_options = {"to_load_options": self.transformers_dict} + registered.add(self) + comfy.patcher_extension.merge_nested_dicts(model_options, add_model_options, copy_dict1=False) + return True + + def on_apply_hooks(self, model: ModelPatcher, transformer_options: dict[str]): + if not self._skip_adding: + comfy.patcher_extension.merge_nested_dicts(transformer_options, self.transformers_dict, copy_dict1=False) + +WrapperHook = TransformerOptionsHook +'''Only here for backwards compatibility, WrapperHook is identical to TransformerOptionsHook.''' + +class InjectionsHook(Hook): + def __init__(self, key: str=None, injections: list[PatcherInjection]=None, + hook_scope=EnumHookScope.AllConditioning): + super().__init__(hook_type=EnumHookType.Injections) + self.key = key + self.injections = injections + self.hook_scope = hook_scope + + def clone(self): + c: InjectionsHook = super().clone() + c.key = self.key + c.injections = self.injections.copy() if self.injections else self.injections + return c + + def add_hook_patches(self, model: ModelPatcher, model_options: dict, target_dict: dict[str], registered: HookGroup): + raise NotImplementedError("InjectionsHook is not supported yet in ComfyUI.") + +class HookGroup: + ''' + Stores groups of hooks, and allows them to be queried by type. + + To prevent breaking their functionality, never modify the underlying self.hooks or self._hook_dict vars directly; + always use the provided functions on HookGroup. + ''' + def __init__(self): + self.hooks: list[Hook] = [] + self._hook_dict: dict[EnumHookType, list[Hook]] = {} + + def __len__(self): + return len(self.hooks) + + def add(self, hook: Hook): + if hook not in self.hooks: + self.hooks.append(hook) + self._hook_dict.setdefault(hook.hook_type, []).append(hook) + + def remove(self, hook: Hook): + if hook in self.hooks: + self.hooks.remove(hook) + self._hook_dict[hook.hook_type].remove(hook) + + def get_type(self, hook_type: EnumHookType): + return self._hook_dict.get(hook_type, []) + + def contains(self, hook: Hook): + return hook in self.hooks + + def is_subset_of(self, other: HookGroup): + self_hooks = set(self.hooks) + other_hooks = set(other.hooks) + return self_hooks.issubset(other_hooks) + + def new_with_common_hooks(self, other: HookGroup): + c = HookGroup() + for hook in self.hooks: + if other.contains(hook): + c.add(hook.clone()) + return c + + def clone(self): + c = HookGroup() + for hook in self.hooks: + c.add(hook.clone()) + return c + + def clone_and_combine(self, other: HookGroup): + c = self.clone() + if other is not None: + for hook in other.hooks: + c.add(hook.clone()) + return c + + def set_keyframes_on_hooks(self, hook_kf: HookKeyframeGroup): + if hook_kf is None: + hook_kf = HookKeyframeGroup() + else: + hook_kf = hook_kf.clone() + for hook in self.hooks: + hook.hook_keyframe = hook_kf + + def get_hooks_for_clip_schedule(self): + scheduled_hooks: dict[WeightHook, list[tuple[tuple[float,float], HookKeyframe]]] = {} + # only care about WeightHooks, for now + for hook in self.get_type(EnumHookType.Weight): + hook: WeightHook + hook_schedule = [] + # if no hook keyframes, assign default value + if len(hook.hook_keyframe.keyframes) == 0: + hook_schedule.append(((0.0, 1.0), None)) + scheduled_hooks[hook] = hook_schedule + continue + # find ranges of values + prev_keyframe = hook.hook_keyframe.keyframes[0] + for keyframe in hook.hook_keyframe.keyframes: + if keyframe.start_percent > prev_keyframe.start_percent and not math.isclose(keyframe.strength, prev_keyframe.strength): + hook_schedule.append(((prev_keyframe.start_percent, keyframe.start_percent), prev_keyframe)) + prev_keyframe = keyframe + elif keyframe.start_percent == prev_keyframe.start_percent: + prev_keyframe = keyframe + # create final range, assuming last start_percent was not 1.0 + if not math.isclose(prev_keyframe.start_percent, 1.0): + hook_schedule.append(((prev_keyframe.start_percent, 1.0), prev_keyframe)) + scheduled_hooks[hook] = hook_schedule + # hooks should not have their schedules in a list of tuples + all_ranges: list[tuple[float, float]] = [] + for range_kfs in scheduled_hooks.values(): + for t_range, keyframe in range_kfs: + all_ranges.append(t_range) + # turn list of ranges into boundaries + boundaries_set = set(itertools.chain.from_iterable(all_ranges)) + boundaries_set.add(0.0) + boundaries = sorted(boundaries_set) + real_ranges = [(boundaries[i], boundaries[i + 1]) for i in range(len(boundaries) - 1)] + # with real ranges defined, give appropriate hooks w/ keyframes for each range + scheduled_keyframes: list[tuple[tuple[float,float], list[tuple[WeightHook, HookKeyframe]]]] = [] + for t_range in real_ranges: + hooks_schedule = [] + for hook, val in scheduled_hooks.items(): + keyframe = None + # check if is a keyframe that works for the current t_range + for stored_range, stored_kf in val: + # if stored start is less than current end, then fits - give it assigned keyframe + if stored_range[0] < t_range[1] and stored_range[1] > t_range[0]: + keyframe = stored_kf + break + hooks_schedule.append((hook, keyframe)) + scheduled_keyframes.append((t_range, hooks_schedule)) + return scheduled_keyframes + + def reset(self): + for hook in self.hooks: + hook.reset() + + @staticmethod + def combine_all_hooks(hooks_list: list[HookGroup], require_count=0) -> HookGroup: + actual: list[HookGroup] = [] + for group in hooks_list: + if group is not None: + actual.append(group) + if len(actual) < require_count: + raise Exception(f"Need at least {require_count} hooks to combine, but only had {len(actual)}.") + # if no hooks, then return None + if len(actual) == 0: + return None + # if only 1 hook, just return itself without cloning + elif len(actual) == 1: + return actual[0] + final_hook: HookGroup = None + for hook in actual: + if final_hook is None: + final_hook = hook.clone() + else: + final_hook = final_hook.clone_and_combine(hook) + return final_hook + + +class HookKeyframe: + def __init__(self, strength: float, start_percent=0.0, guarantee_steps=1): + self.strength = strength + # scheduling + self.start_percent = float(start_percent) + self.start_t = 999999999.9 + self.guarantee_steps = guarantee_steps + + def get_effective_guarantee_steps(self, max_sigma: torch.Tensor): + '''If keyframe starts before current sampling range (max_sigma), treat as 0.''' + if self.start_t > max_sigma: + return 0 + return self.guarantee_steps + + def clone(self): + c = HookKeyframe(strength=self.strength, + start_percent=self.start_percent, guarantee_steps=self.guarantee_steps) + c.start_t = self.start_t + return c + +class HookKeyframeGroup: + def __init__(self): + self.keyframes: list[HookKeyframe] = [] + self._current_keyframe: HookKeyframe = None + self._current_used_steps = 0 + self._current_index = 0 + self._current_strength = None + self._curr_t = -1. + + # properties shadow those of HookWeightsKeyframe + @property + def strength(self): + if self._current_keyframe is not None: + return self._current_keyframe.strength + return 1.0 + + def reset(self): + self._current_keyframe = None + self._current_used_steps = 0 + self._current_index = 0 + self._current_strength = None + self.curr_t = -1. + self._set_first_as_current() + + def add(self, keyframe: HookKeyframe): + # add to end of list, then sort + self.keyframes.append(keyframe) + self.keyframes = get_sorted_list_via_attr(self.keyframes, "start_percent") + self._set_first_as_current() + + def _set_first_as_current(self): + if len(self.keyframes) > 0: + self._current_keyframe = self.keyframes[0] + else: + self._current_keyframe = None + + def has_guarantee_steps(self): + for kf in self.keyframes: + if kf.guarantee_steps > 0: + return True + return False + + def has_index(self, index: int): + return index >= 0 and index < len(self.keyframes) + + def is_empty(self): + return len(self.keyframes) == 0 + + def clone(self): + c = HookKeyframeGroup() + for keyframe in self.keyframes: + c.keyframes.append(keyframe.clone()) + c._set_first_as_current() + return c + + def initialize_timesteps(self, model: BaseModel): + for keyframe in self.keyframes: + keyframe.start_t = model.model_sampling.percent_to_sigma(keyframe.start_percent) + + def prepare_current_keyframe(self, curr_t: float, transformer_options: dict[str, torch.Tensor]) -> bool: + if self.is_empty(): + return False + if curr_t == self._curr_t: + return False + max_sigma = torch.max(transformer_options["sample_sigmas"]) + prev_index = self._current_index + prev_strength = self._current_strength + # if met guaranteed steps, look for next keyframe in case need to switch + if self._current_used_steps >= self._current_keyframe.get_effective_guarantee_steps(max_sigma): + # if has next index, loop through and see if need to switch + if self.has_index(self._current_index+1): + for i in range(self._current_index+1, len(self.keyframes)): + eval_c = self.keyframes[i] + # check if start_t is greater or equal to curr_t + # NOTE: t is in terms of sigmas, not percent, so bigger number = earlier step in sampling + if eval_c.start_t >= curr_t: + self._current_index = i + self._current_strength = eval_c.strength + self._current_keyframe = eval_c + self._current_used_steps = 0 + # if guarantee_steps greater than zero, stop searching for other keyframes + if self._current_keyframe.get_effective_guarantee_steps(max_sigma) > 0: + break + # if eval_c is outside the percent range, stop looking further + else: break + # update steps current context is used + self._current_used_steps += 1 + # update current timestep this was performed on + self._curr_t = curr_t + # return True if keyframe changed, False if no change + return prev_index != self._current_index and prev_strength != self._current_strength + + +class InterpolationMethod: + LINEAR = "linear" + EASE_IN = "ease_in" + EASE_OUT = "ease_out" + EASE_IN_OUT = "ease_in_out" + + _LIST = [LINEAR, EASE_IN, EASE_OUT, EASE_IN_OUT] + + @classmethod + def get_weights(cls, num_from: float, num_to: float, length: int, method: str, reverse=False): + diff = num_to - num_from + if method == cls.LINEAR: + weights = torch.linspace(num_from, num_to, length) + elif method == cls.EASE_IN: + index = torch.linspace(0, 1, length) + weights = diff * np.power(index, 2) + num_from + elif method == cls.EASE_OUT: + index = torch.linspace(0, 1, length) + weights = diff * (1 - np.power(1 - index, 2)) + num_from + elif method == cls.EASE_IN_OUT: + index = torch.linspace(0, 1, length) + weights = diff * ((1 - np.cos(index * np.pi)) / 2) + num_from + else: + raise ValueError(f"Unrecognized interpolation method '{method}'.") + if reverse: + weights = weights.flip(dims=(0,)) + return weights + +def get_sorted_list_via_attr(objects: list, attr: str) -> list: + if not objects: + return objects + elif len(objects) <= 1: + return [x for x in objects] + # now that we know we have to sort, do it following these rules: + # a) if objects have same value of attribute, maintain their relative order + # b) perform sorting of the groups of objects with same attributes + unique_attrs = {} + for o in objects: + val_attr = getattr(o, attr) + attr_list: list = unique_attrs.get(val_attr, list()) + attr_list.append(o) + if val_attr not in unique_attrs: + unique_attrs[val_attr] = attr_list + # now that we have the unique attr values grouped together in relative order, sort them by key + sorted_attrs = dict(sorted(unique_attrs.items())) + # now flatten out the dict into a list to return + sorted_list = [] + for object_list in sorted_attrs.values(): + sorted_list.extend(object_list) + return sorted_list + +def create_transformer_options_from_hooks(model: ModelPatcher, hooks: HookGroup, transformer_options: dict[str]=None): + # if no hooks or is not a ModelPatcher for sampling, return empty dict + if hooks is None or model.is_clip: + return {} + if transformer_options is None: + transformer_options = {} + for hook in hooks.get_type(EnumHookType.TransformerOptions): + hook: TransformerOptionsHook + hook.on_apply_hooks(model, transformer_options) + return transformer_options + +def create_hook_lora(lora: dict[str, torch.Tensor], strength_model: float, strength_clip: float): + hook_group = HookGroup() + hook = WeightHook(strength_model=strength_model, strength_clip=strength_clip) + hook_group.add(hook) + hook.weights = lora + return hook_group + +def create_hook_model_as_lora(weights_model, weights_clip, strength_model: float, strength_clip: float): + hook_group = HookGroup() + hook = WeightHook(strength_model=strength_model, strength_clip=strength_clip) + hook_group.add(hook) + patches_model = None + patches_clip = None + if weights_model is not None: + patches_model = {} + for key in weights_model: + patches_model[key] = ("model_as_lora", (weights_model[key],)) + if weights_clip is not None: + patches_clip = {} + for key in weights_clip: + patches_clip[key] = ("model_as_lora", (weights_clip[key],)) + hook.weights = patches_model + hook.weights_clip = patches_clip + hook.need_weight_init = False + return hook_group + +def get_patch_weights_from_model(model: ModelPatcher, discard_model_sampling=True): + if model is None: + return None + patches_model: dict[str, torch.Tensor] = model.model.state_dict() + if discard_model_sampling: + # do not include ANY model_sampling components of the model that should act as a patch + for key in list(patches_model.keys()): + if key.startswith("model_sampling"): + patches_model.pop(key, None) + return patches_model + +# NOTE: this function shows how to register weight hooks directly on the ModelPatchers +def load_hook_lora_for_models(model: ModelPatcher, clip: CLIP, lora: dict[str, torch.Tensor], + strength_model: float, strength_clip: float): + key_map = {} + if model is not None: + key_map = comfy.lora.model_lora_keys_unet(model.model, key_map) + if clip is not None: + key_map = comfy.lora.model_lora_keys_clip(clip.cond_stage_model, key_map) + + hook_group = HookGroup() + hook = WeightHook() + hook_group.add(hook) + loaded: dict[str] = comfy.lora.load_lora(lora, key_map) + if model is not None: + new_modelpatcher = model.clone() + k = new_modelpatcher.add_hook_patches(hook=hook, patches=loaded, strength_patch=strength_model) + else: + k = () + new_modelpatcher = None + + if clip is not None: + new_clip = clip.clone() + k1 = new_clip.patcher.add_hook_patches(hook=hook, patches=loaded, strength_patch=strength_clip) + else: + k1 = () + new_clip = None + k = set(k) + k1 = set(k1) + for x in loaded: + if (x not in k) and (x not in k1): + logging.warning(f"NOT LOADED {x}") + return (new_modelpatcher, new_clip, hook_group) + +def _combine_hooks_from_values(c_dict: dict[str, HookGroup], values: dict[str, HookGroup], cache: dict[tuple[HookGroup, HookGroup], HookGroup]): + hooks_key = 'hooks' + # if hooks only exist in one dict, do what's needed so that it ends up in c_dict + if hooks_key not in values: + return + if hooks_key not in c_dict: + hooks_value = values.get(hooks_key, None) + if hooks_value is not None: + c_dict[hooks_key] = hooks_value + return + # otherwise, need to combine with minimum duplication via cache + hooks_tuple = (c_dict[hooks_key], values[hooks_key]) + cached_hooks = cache.get(hooks_tuple, None) + if cached_hooks is None: + new_hooks = hooks_tuple[0].clone_and_combine(hooks_tuple[1]) + cache[hooks_tuple] = new_hooks + c_dict[hooks_key] = new_hooks + else: + c_dict[hooks_key] = cache[hooks_tuple] + +def conditioning_set_values_with_hooks(conditioning, values={}, append_hooks=True, + cache: dict[tuple[HookGroup, HookGroup], HookGroup]=None): + c = [] + if cache is None: + cache = {} + for t in conditioning: + n = [t[0], t[1].copy()] + for k in values: + if append_hooks and k == 'hooks': + _combine_hooks_from_values(n[1], values, cache) + else: + n[1][k] = values[k] + c.append(n) + + return c + +def set_hooks_for_conditioning(cond, hooks: HookGroup, append_hooks=True, cache: dict[tuple[HookGroup, HookGroup], HookGroup]=None): + if hooks is None: + return cond + return conditioning_set_values_with_hooks(cond, {'hooks': hooks}, append_hooks=append_hooks, cache=cache) + +def set_timesteps_for_conditioning(cond, timestep_range: tuple[float,float]): + if timestep_range is None: + return cond + return conditioning_set_values(cond, {"start_percent": timestep_range[0], + "end_percent": timestep_range[1]}) + +def set_mask_for_conditioning(cond, mask: torch.Tensor, set_cond_area: str, strength: float): + if mask is None: + return cond + set_area_to_bounds = False + if set_cond_area != 'default': + set_area_to_bounds = True + if len(mask.shape) < 3: + mask = mask.unsqueeze(0) + return conditioning_set_values(cond, {'mask': mask, + 'set_area_to_bounds': set_area_to_bounds, + 'mask_strength': strength}) + +def combine_conditioning(conds: list): + combined_conds = [] + for cond in conds: + combined_conds.extend(cond) + return combined_conds + +def combine_with_new_conds(conds: list, new_conds: list): + combined_conds = [] + for c, new_c in zip(conds, new_conds): + combined_conds.append(combine_conditioning([c, new_c])) + return combined_conds + +def set_conds_props(conds: list, strength: float, set_cond_area: str, + mask: torch.Tensor=None, hooks: HookGroup=None, timesteps_range: tuple[float,float]=None, append_hooks=True): + final_conds = [] + cache = {} + for c in conds: + # first, apply lora_hook to conditioning, if provided + c = set_hooks_for_conditioning(c, hooks, append_hooks=append_hooks, cache=cache) + # next, apply mask to conditioning + c = set_mask_for_conditioning(cond=c, mask=mask, strength=strength, set_cond_area=set_cond_area) + # apply timesteps, if present + c = set_timesteps_for_conditioning(cond=c, timestep_range=timesteps_range) + # finally, apply mask to conditioning and store + final_conds.append(c) + return final_conds + +def set_conds_props_and_combine(conds: list, new_conds: list, strength: float=1.0, set_cond_area: str="default", + mask: torch.Tensor=None, hooks: HookGroup=None, timesteps_range: tuple[float,float]=None, append_hooks=True): + combined_conds = [] + cache = {} + for c, masked_c in zip(conds, new_conds): + # first, apply lora_hook to new conditioning, if provided + masked_c = set_hooks_for_conditioning(masked_c, hooks, append_hooks=append_hooks, cache=cache) + # next, apply mask to new conditioning, if provided + masked_c = set_mask_for_conditioning(cond=masked_c, mask=mask, set_cond_area=set_cond_area, strength=strength) + # apply timesteps, if present + masked_c = set_timesteps_for_conditioning(cond=masked_c, timestep_range=timesteps_range) + # finally, combine with existing conditioning and store + combined_conds.append(combine_conditioning([c, masked_c])) + return combined_conds + +def set_default_conds_and_combine(conds: list, new_conds: list, + hooks: HookGroup=None, timesteps_range: tuple[float,float]=None, append_hooks=True): + combined_conds = [] + cache = {} + for c, new_c in zip(conds, new_conds): + # first, apply lora_hook to new conditioning, if provided + new_c = set_hooks_for_conditioning(new_c, hooks, append_hooks=append_hooks, cache=cache) + # next, add default_cond key to cond so that during sampling, it can be identified + new_c = conditioning_set_values(new_c, {'default': True}) + # apply timesteps, if present + new_c = set_timesteps_for_conditioning(cond=new_c, timestep_range=timesteps_range) + # finally, combine with existing conditioning and store + combined_conds.append(combine_conditioning([c, new_c])) + return combined_conds diff --git a/comfy/image_encoders/dino2.py b/comfy/image_encoders/dino2.py new file mode 100644 index 0000000000000000000000000000000000000000..9b6dace9dc992a4b3fb5c3557756312bb8282cdf --- /dev/null +++ b/comfy/image_encoders/dino2.py @@ -0,0 +1,160 @@ +import torch +from comfy.text_encoders.bert import BertAttention +import comfy.model_management +from comfy.ldm.modules.attention import optimized_attention_for_device + + +class Dino2AttentionOutput(torch.nn.Module): + def __init__(self, input_dim, output_dim, layer_norm_eps, dtype, device, operations): + super().__init__() + self.dense = operations.Linear(input_dim, output_dim, dtype=dtype, device=device) + + def forward(self, x): + return self.dense(x) + + +class Dino2AttentionBlock(torch.nn.Module): + def __init__(self, embed_dim, heads, layer_norm_eps, dtype, device, operations): + super().__init__() + self.attention = BertAttention(embed_dim, heads, dtype, device, operations) + self.output = Dino2AttentionOutput(embed_dim, embed_dim, layer_norm_eps, dtype, device, operations) + + def forward(self, x, mask, optimized_attention): + return self.output(self.attention(x, mask, optimized_attention)) + + +class LayerScale(torch.nn.Module): + def __init__(self, dim, dtype, device, operations): + super().__init__() + self.lambda1 = torch.nn.Parameter(torch.empty(dim, device=device, dtype=dtype)) + + def forward(self, x): + return x * comfy.model_management.cast_to_device(self.lambda1, x.device, x.dtype) + +class Dinov2MLP(torch.nn.Module): + def __init__(self, hidden_size: int, dtype, device, operations): + super().__init__() + + mlp_ratio = 4 + hidden_features = int(hidden_size * mlp_ratio) + self.fc1 = operations.Linear(hidden_size, hidden_features, bias = True, device=device, dtype=dtype) + self.fc2 = operations.Linear(hidden_features, hidden_size, bias = True, device=device, dtype=dtype) + + def forward(self, hidden_state: torch.Tensor) -> torch.Tensor: + hidden_state = self.fc1(hidden_state) + hidden_state = torch.nn.functional.gelu(hidden_state) + hidden_state = self.fc2(hidden_state) + return hidden_state + +class SwiGLUFFN(torch.nn.Module): + def __init__(self, dim, dtype, device, operations): + super().__init__() + in_features = out_features = dim + hidden_features = int(dim * 4) + hidden_features = (int(hidden_features * 2 / 3) + 7) // 8 * 8 + + self.weights_in = operations.Linear(in_features, 2 * hidden_features, bias=True, device=device, dtype=dtype) + self.weights_out = operations.Linear(hidden_features, out_features, bias=True, device=device, dtype=dtype) + + def forward(self, x): + x = self.weights_in(x) + x1, x2 = x.chunk(2, dim=-1) + x = torch.nn.functional.silu(x1) * x2 + return self.weights_out(x) + + +class Dino2Block(torch.nn.Module): + def __init__(self, dim, num_heads, layer_norm_eps, dtype, device, operations, use_swiglu_ffn): + super().__init__() + self.attention = Dino2AttentionBlock(dim, num_heads, layer_norm_eps, dtype, device, operations) + self.layer_scale1 = LayerScale(dim, dtype, device, operations) + self.layer_scale2 = LayerScale(dim, dtype, device, operations) + if use_swiglu_ffn: + self.mlp = SwiGLUFFN(dim, dtype, device, operations) + else: + self.mlp = Dinov2MLP(dim, dtype, device, operations) + self.norm1 = operations.LayerNorm(dim, eps=layer_norm_eps, dtype=dtype, device=device) + self.norm2 = operations.LayerNorm(dim, eps=layer_norm_eps, dtype=dtype, device=device) + + def forward(self, x, optimized_attention): + x = x + self.layer_scale1(self.attention(self.norm1(x), None, optimized_attention)) + x = x + self.layer_scale2(self.mlp(self.norm2(x))) + return x + + +class Dino2Encoder(torch.nn.Module): + def __init__(self, dim, num_heads, layer_norm_eps, num_layers, dtype, device, operations, use_swiglu_ffn): + super().__init__() + self.layer = torch.nn.ModuleList([Dino2Block(dim, num_heads, layer_norm_eps, dtype, device, operations, use_swiglu_ffn = use_swiglu_ffn) + for _ in range(num_layers)]) + + def forward(self, x, intermediate_output=None): + optimized_attention = optimized_attention_for_device(x.device, False, small_input=True) + + if intermediate_output is not None: + if intermediate_output < 0: + intermediate_output = len(self.layer) + intermediate_output + + intermediate = None + for i, layer in enumerate(self.layer): + x = layer(x, optimized_attention) + if i == intermediate_output: + intermediate = x.clone() + return x, intermediate + + +class Dino2PatchEmbeddings(torch.nn.Module): + def __init__(self, dim, num_channels=3, patch_size=14, image_size=518, dtype=None, device=None, operations=None): + super().__init__() + self.projection = operations.Conv2d( + in_channels=num_channels, + out_channels=dim, + kernel_size=patch_size, + stride=patch_size, + bias=True, + dtype=dtype, + device=device + ) + + def forward(self, pixel_values): + return self.projection(pixel_values).flatten(2).transpose(1, 2) + + +class Dino2Embeddings(torch.nn.Module): + def __init__(self, dim, dtype, device, operations): + super().__init__() + patch_size = 14 + image_size = 518 + + self.patch_embeddings = Dino2PatchEmbeddings(dim, patch_size=patch_size, image_size=image_size, dtype=dtype, device=device, operations=operations) + self.position_embeddings = torch.nn.Parameter(torch.empty(1, (image_size // patch_size) ** 2 + 1, dim, dtype=dtype, device=device)) + self.cls_token = torch.nn.Parameter(torch.empty(1, 1, dim, dtype=dtype, device=device)) + self.mask_token = torch.nn.Parameter(torch.empty(1, dim, dtype=dtype, device=device)) + + def forward(self, pixel_values): + x = self.patch_embeddings(pixel_values) + # TODO: mask_token? + x = torch.cat((self.cls_token.to(device=x.device, dtype=x.dtype).expand(x.shape[0], -1, -1), x), dim=1) + x = x + comfy.model_management.cast_to_device(self.position_embeddings, x.device, x.dtype) + return x + + +class Dinov2Model(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + num_layers = config_dict["num_hidden_layers"] + dim = config_dict["hidden_size"] + heads = config_dict["num_attention_heads"] + layer_norm_eps = config_dict["layer_norm_eps"] + use_swiglu_ffn = config_dict["use_swiglu_ffn"] + + self.embeddings = Dino2Embeddings(dim, dtype, device, operations) + self.encoder = Dino2Encoder(dim, heads, layer_norm_eps, num_layers, dtype, device, operations, use_swiglu_ffn = use_swiglu_ffn) + self.layernorm = operations.LayerNorm(dim, eps=layer_norm_eps, dtype=dtype, device=device) + + def forward(self, pixel_values, attention_mask=None, intermediate_output=None): + x = self.embeddings(pixel_values) + x, i = self.encoder(x, intermediate_output=intermediate_output) + x = self.layernorm(x) + pooled_output = x[:, 0, :] + return x, i, pooled_output, None diff --git a/comfy/image_encoders/dino2_giant.json b/comfy/image_encoders/dino2_giant.json new file mode 100644 index 0000000000000000000000000000000000000000..f6076a4dc98dfee6c200294397bfdfe3d2c688e1 --- /dev/null +++ b/comfy/image_encoders/dino2_giant.json @@ -0,0 +1,21 @@ +{ + "attention_probs_dropout_prob": 0.0, + "drop_path_rate": 0.0, + "hidden_act": "gelu", + "hidden_dropout_prob": 0.0, + "hidden_size": 1536, + "image_size": 518, + "initializer_range": 0.02, + "layer_norm_eps": 1e-06, + "layerscale_value": 1.0, + "mlp_ratio": 4, + "model_type": "dinov2", + "num_attention_heads": 24, + "num_channels": 3, + "num_hidden_layers": 40, + "patch_size": 14, + "qkv_bias": true, + "use_swiglu_ffn": true, + "image_mean": [0.485, 0.456, 0.406], + "image_std": [0.229, 0.224, 0.225] +} diff --git a/comfy/image_encoders/dino2_large.json b/comfy/image_encoders/dino2_large.json new file mode 100644 index 0000000000000000000000000000000000000000..43fbb58ffb4f2120f5259b6bf12c9257a047d360 --- /dev/null +++ b/comfy/image_encoders/dino2_large.json @@ -0,0 +1,22 @@ +{ + "hidden_size": 1024, + "use_mask_token": true, + "patch_size": 14, + "image_size": 518, + "num_channels": 3, + "num_attention_heads": 16, + "initializer_range": 0.02, + "attention_probs_dropout_prob": 0.0, + "hidden_dropout_prob": 0.0, + "hidden_act": "gelu", + "mlp_ratio": 4, + "model_type": "dinov2", + "num_hidden_layers": 24, + "layer_norm_eps": 1e-6, + "qkv_bias": true, + "use_swiglu_ffn": false, + "layerscale_value": 1.0, + "drop_path_rate": 0.0, + "image_mean": [0.485, 0.456, 0.406], + "image_std": [0.229, 0.224, 0.225] +} diff --git a/comfy/k_diffusion/deis.py b/comfy/k_diffusion/deis.py new file mode 100644 index 0000000000000000000000000000000000000000..a1167a4a36c42b22168ea8b3d80b1d83b2505db5 --- /dev/null +++ b/comfy/k_diffusion/deis.py @@ -0,0 +1,120 @@ +#Taken from: https://github.com/zju-pi/diff-sampler/blob/main/gits-main/solver_utils.py +#under Apache 2 license +import torch +import numpy as np + +# A pytorch reimplementation of DEIS (https://github.com/qsh-zh/deis). +############################# +### Utils for DEIS solver ### +############################# +#---------------------------------------------------------------------------- +# Transfer from the input time (sigma) used in EDM to that (t) used in DEIS. + +def edm2t(edm_steps, epsilon_s=1e-3, sigma_min=0.002, sigma_max=80): + vp_sigma_inv = lambda beta_d, beta_min: lambda sigma: ((beta_min ** 2 + 2 * beta_d * (sigma ** 2 + 1).log()).sqrt() - beta_min) / beta_d + vp_beta_d = 2 * (np.log(torch.tensor(sigma_min).cpu() ** 2 + 1) / epsilon_s - np.log(torch.tensor(sigma_max).cpu() ** 2 + 1)) / (epsilon_s - 1) + vp_beta_min = np.log(torch.tensor(sigma_max).cpu() ** 2 + 1) - 0.5 * vp_beta_d + t_steps = vp_sigma_inv(vp_beta_d.clone().detach().cpu(), vp_beta_min.clone().detach().cpu())(edm_steps.clone().detach().cpu()) + return t_steps, vp_beta_min, vp_beta_d + vp_beta_min + +#---------------------------------------------------------------------------- + +def cal_poly(prev_t, j, taus): + poly = 1 + for k in range(prev_t.shape[0]): + if k == j: + continue + poly *= (taus - prev_t[k]) / (prev_t[j] - prev_t[k]) + return poly + +#---------------------------------------------------------------------------- +# Transfer from t to alpha_t. + +def t2alpha_fn(beta_0, beta_1, t): + return torch.exp(-0.5 * t ** 2 * (beta_1 - beta_0) - t * beta_0) + +#---------------------------------------------------------------------------- + +def cal_intergrand(beta_0, beta_1, taus): + with torch.inference_mode(mode=False): + taus = taus.clone() + beta_0 = beta_0.clone() + beta_1 = beta_1.clone() + with torch.enable_grad(): + taus.requires_grad_(True) + alpha = t2alpha_fn(beta_0, beta_1, taus) + log_alpha = alpha.log() + log_alpha.sum().backward() + d_log_alpha_dtau = taus.grad + integrand = -0.5 * d_log_alpha_dtau / torch.sqrt(alpha * (1 - alpha)) + return integrand + +#---------------------------------------------------------------------------- + +def get_deis_coeff_list(t_steps, max_order, N=10000, deis_mode='tab'): + """ + Get the coefficient list for DEIS sampling. + + Args: + t_steps: A pytorch tensor. The time steps for sampling. + max_order: A `int`. Maximum order of the solver. 1 <= max_order <= 4 + N: A `int`. Use how many points to perform the numerical integration when deis_mode=='tab'. + deis_mode: A `str`. Select between 'tab' and 'rhoab'. Type of DEIS. + Returns: + A pytorch tensor. A batch of generated samples or sampling trajectories if return_inters=True. + """ + if deis_mode == 'tab': + t_steps, beta_0, beta_1 = edm2t(t_steps) + C = [] + for i, (t_cur, t_next) in enumerate(zip(t_steps[:-1], t_steps[1:])): + order = min(i+1, max_order) + if order == 1: + C.append([]) + else: + taus = torch.linspace(t_cur, t_next, N) # split the interval for integral appximation + dtau = (t_next - t_cur) / N + prev_t = t_steps[[i - k for k in range(order)]] + coeff_temp = [] + integrand = cal_intergrand(beta_0, beta_1, taus) + for j in range(order): + poly = cal_poly(prev_t, j, taus) + coeff_temp.append(torch.sum(integrand * poly) * dtau) + C.append(coeff_temp) + + elif deis_mode == 'rhoab': + # Analytical solution, second order + def get_def_intergral_2(a, b, start, end, c): + coeff = (end**3 - start**3) / 3 - (end**2 - start**2) * (a + b) / 2 + (end - start) * a * b + return coeff / ((c - a) * (c - b)) + + # Analytical solution, third order + def get_def_intergral_3(a, b, c, start, end, d): + coeff = (end**4 - start**4) / 4 - (end**3 - start**3) * (a + b + c) / 3 \ + + (end**2 - start**2) * (a*b + a*c + b*c) / 2 - (end - start) * a * b * c + return coeff / ((d - a) * (d - b) * (d - c)) + + C = [] + for i, (t_cur, t_next) in enumerate(zip(t_steps[:-1], t_steps[1:])): + order = min(i, max_order) + if order == 0: + C.append([]) + else: + prev_t = t_steps[[i - k for k in range(order+1)]] + if order == 1: + coeff_cur = ((t_next - prev_t[1])**2 - (t_cur - prev_t[1])**2) / (2 * (t_cur - prev_t[1])) + coeff_prev1 = (t_next - t_cur)**2 / (2 * (prev_t[1] - t_cur)) + coeff_temp = [coeff_cur, coeff_prev1] + elif order == 2: + coeff_cur = get_def_intergral_2(prev_t[1], prev_t[2], t_cur, t_next, t_cur) + coeff_prev1 = get_def_intergral_2(t_cur, prev_t[2], t_cur, t_next, prev_t[1]) + coeff_prev2 = get_def_intergral_2(t_cur, prev_t[1], t_cur, t_next, prev_t[2]) + coeff_temp = [coeff_cur, coeff_prev1, coeff_prev2] + elif order == 3: + coeff_cur = get_def_intergral_3(prev_t[1], prev_t[2], prev_t[3], t_cur, t_next, t_cur) + coeff_prev1 = get_def_intergral_3(t_cur, prev_t[2], prev_t[3], t_cur, t_next, prev_t[1]) + coeff_prev2 = get_def_intergral_3(t_cur, prev_t[1], prev_t[3], t_cur, t_next, prev_t[2]) + coeff_prev3 = get_def_intergral_3(t_cur, prev_t[1], prev_t[2], t_cur, t_next, prev_t[3]) + coeff_temp = [coeff_cur, coeff_prev1, coeff_prev2, coeff_prev3] + C.append(coeff_temp) + return C + diff --git a/comfy/k_diffusion/sa_solver.py b/comfy/k_diffusion/sa_solver.py new file mode 100644 index 0000000000000000000000000000000000000000..0c6821b605d4b44ac81414f2c635e28ce5d9feb5 --- /dev/null +++ b/comfy/k_diffusion/sa_solver.py @@ -0,0 +1,121 @@ +# SA-Solver: Stochastic Adams Solver (NeurIPS 2023, arXiv:2309.05019) +# Conference: https://proceedings.neurips.cc/paper_files/paper/2023/file/f4a6806490d31216a3ba667eb240c897-Paper-Conference.pdf +# Codebase ref: https://github.com/scxue/SA-Solver + +import math +from typing import Union, Callable +import torch + + +def compute_exponential_coeffs(s: torch.Tensor, t: torch.Tensor, solver_order: int, tau_t: float) -> torch.Tensor: + """Compute (1 + tau^2) * integral of exp((1 + tau^2) * x) * x^p dx from s to t with exp((1 + tau^2) * t) factored out, using integration by parts. + + Integral of exp((1 + tau^2) * x) * x^p dx + = product_terms[p] - (p / (1 + tau^2)) * integral of exp((1 + tau^2) * x) * x^(p-1) dx, + with base case p=0 where integral equals product_terms[0]. + + where + product_terms[p] = x^p * exp((1 + tau^2) * x) / (1 + tau^2). + + Construct a recursive coefficient matrix following the above recursive relation to compute all integral terms up to p = (solver_order - 1). + Return coefficients used by the SA-Solver in data prediction mode. + + Args: + s: Start time s. + t: End time t. + solver_order: Current order of the solver. + tau_t: Stochastic strength parameter in the SDE. + + Returns: + Exponential coefficients used in data prediction, with exp((1 + tau^2) * t) factored out, ordered from p=0 to p=solver_order−1, shape (solver_order,). + """ + tau_mul = 1 + tau_t ** 2 + h = t - s + p = torch.arange(solver_order, dtype=s.dtype, device=s.device) + + # product_terms after factoring out exp((1 + tau^2) * t) + # Includes (1 + tau^2) factor from outside the integral + product_terms_factored = (t ** p - s ** p * (-tau_mul * h).exp()) + + # Lower triangular recursive coefficient matrix + # Accumulates recursive coefficients based on p / (1 + tau^2) + recursive_depth_mat = p.unsqueeze(1) - p.unsqueeze(0) + log_factorial = (p + 1).lgamma() + recursive_coeff_mat = log_factorial.unsqueeze(1) - log_factorial.unsqueeze(0) + if tau_t > 0: + recursive_coeff_mat = recursive_coeff_mat - (recursive_depth_mat * math.log(tau_mul)) + signs = torch.where(recursive_depth_mat % 2 == 0, 1.0, -1.0) + recursive_coeff_mat = (recursive_coeff_mat.exp() * signs).tril() + + return recursive_coeff_mat @ product_terms_factored + + +def compute_simple_stochastic_adams_b_coeffs(sigma_next: torch.Tensor, curr_lambdas: torch.Tensor, lambda_s: torch.Tensor, lambda_t: torch.Tensor, tau_t: float, is_corrector_step: bool = False) -> torch.Tensor: + """Compute simple order-2 b coefficients from SA-Solver paper (Appendix D. Implementation Details).""" + tau_mul = 1 + tau_t ** 2 + h = lambda_t - lambda_s + alpha_t = sigma_next * lambda_t.exp() + if is_corrector_step: + # Simplified 1-step (order-2) corrector + b_1 = alpha_t * (0.5 * tau_mul * h) + b_2 = alpha_t * (-h * tau_mul).expm1().neg() - b_1 + else: + # Simplified 2-step predictor + b_2 = alpha_t * (0.5 * tau_mul * h ** 2) / (curr_lambdas[-2] - lambda_s) + b_1 = alpha_t * (-h * tau_mul).expm1().neg() - b_2 + return torch.stack([b_2, b_1]) + + +def compute_stochastic_adams_b_coeffs(sigma_next: torch.Tensor, curr_lambdas: torch.Tensor, lambda_s: torch.Tensor, lambda_t: torch.Tensor, tau_t: float, simple_order_2: bool = False, is_corrector_step: bool = False) -> torch.Tensor: + """Compute b_i coefficients for the SA-Solver (see eqs. 15 and 18). + + The solver order corresponds to the number of input lambdas (half-logSNR points). + + Args: + sigma_next: Sigma at end time t. + curr_lambdas: Lambda time points used to construct the Lagrange basis, shape (N,). + lambda_s: Lambda at start time s. + lambda_t: Lambda at end time t. + tau_t: Stochastic strength parameter in the SDE. + simple_order_2: Whether to enable the simple order-2 scheme. + is_corrector_step: Flag for corrector step in simple order-2 mode. + + Returns: + b_i coefficients for the SA-Solver, shape (N,), where N is the solver order. + """ + num_timesteps = curr_lambdas.shape[0] + + if simple_order_2 and num_timesteps == 2: + return compute_simple_stochastic_adams_b_coeffs(sigma_next, curr_lambdas, lambda_s, lambda_t, tau_t, is_corrector_step) + + # Compute coefficients by solving a linear system from Lagrange basis interpolation + exp_integral_coeffs = compute_exponential_coeffs(lambda_s, lambda_t, num_timesteps, tau_t) + vandermonde_matrix_T = torch.vander(curr_lambdas, num_timesteps, increasing=True).T + lagrange_integrals = torch.linalg.solve(vandermonde_matrix_T, exp_integral_coeffs) + + # (sigma_t * exp(-tau^2 * lambda_t)) * exp((1 + tau^2) * lambda_t) + # = sigma_t * exp(lambda_t) = alpha_t + # exp((1 + tau^2) * lambda_t) is extracted from the integral + alpha_t = sigma_next * lambda_t.exp() + return alpha_t * lagrange_integrals + + +def get_tau_interval_func(start_sigma: float, end_sigma: float, eta: float = 1.0) -> Callable[[Union[torch.Tensor, float]], float]: + """Return a function that controls the stochasticity of SA-Solver. + + When eta = 0, SA-Solver runs as ODE. The official approach uses + time t to determine the SDE interval, while here we use sigma instead. + + See: + https://github.com/scxue/SA-Solver/blob/main/README.md + """ + + def tau_func(sigma: Union[torch.Tensor, float]) -> float: + if eta <= 0: + return 0.0 # ODE + + if isinstance(sigma, torch.Tensor): + sigma = sigma.item() + return eta if start_sigma >= sigma >= end_sigma else 0.0 + + return tau_func diff --git a/comfy/k_diffusion/sampling.py b/comfy/k_diffusion/sampling.py new file mode 100644 index 0000000000000000000000000000000000000000..0e2cda2916ecd0c1b688fb1a8a6f7d58a46a7af3 --- /dev/null +++ b/comfy/k_diffusion/sampling.py @@ -0,0 +1,1786 @@ +import math +from functools import partial + +from scipy import integrate +import torch +from torch import nn +import torchsde +from tqdm.auto import trange, tqdm + +from . import utils +from . import deis +from . import sa_solver +import comfy.model_patcher +import comfy.model_sampling + +def append_zero(x): + return torch.cat([x, x.new_zeros([1])]) + + +def get_sigmas_karras(n, sigma_min, sigma_max, rho=7., device='cpu'): + """Constructs the noise schedule of Karras et al. (2022).""" + ramp = torch.linspace(0, 1, n, device=device) + min_inv_rho = sigma_min ** (1 / rho) + max_inv_rho = sigma_max ** (1 / rho) + sigmas = (max_inv_rho + ramp * (min_inv_rho - max_inv_rho)) ** rho + return append_zero(sigmas).to(device) + + +def get_sigmas_exponential(n, sigma_min, sigma_max, device='cpu'): + """Constructs an exponential noise schedule.""" + sigmas = torch.linspace(math.log(sigma_max), math.log(sigma_min), n, device=device).exp() + return append_zero(sigmas) + + +def get_sigmas_polyexponential(n, sigma_min, sigma_max, rho=1., device='cpu'): + """Constructs an polynomial in log sigma noise schedule.""" + ramp = torch.linspace(1, 0, n, device=device) ** rho + sigmas = torch.exp(ramp * (math.log(sigma_max) - math.log(sigma_min)) + math.log(sigma_min)) + return append_zero(sigmas) + + +def get_sigmas_vp(n, beta_d=19.9, beta_min=0.1, eps_s=1e-3, device='cpu'): + """Constructs a continuous VP noise schedule.""" + t = torch.linspace(1, eps_s, n, device=device) + sigmas = torch.sqrt(torch.special.expm1(beta_d * t ** 2 / 2 + beta_min * t)) + return append_zero(sigmas) + + +def get_sigmas_laplace(n, sigma_min, sigma_max, mu=0., beta=0.5, device='cpu'): + """Constructs the noise schedule proposed by Tiankai et al. (2024). """ + epsilon = 1e-5 # avoid log(0) + x = torch.linspace(0, 1, n, device=device) + clamp = lambda x: torch.clamp(x, min=sigma_min, max=sigma_max) + lmb = mu - beta * torch.sign(0.5-x) * torch.log(1 - 2 * torch.abs(0.5-x) + epsilon) + sigmas = clamp(torch.exp(lmb)) + return sigmas + + + +def to_d(x, sigma, denoised): + """Converts a denoiser output to a Karras ODE derivative.""" + return (x - denoised) / utils.append_dims(sigma, x.ndim) + + +def get_ancestral_step(sigma_from, sigma_to, eta=1.): + """Calculates the noise level (sigma_down) to step down to and the amount + of noise to add (sigma_up) when doing an ancestral sampling step.""" + if not eta: + return sigma_to, 0. + sigma_up = min(sigma_to, eta * (sigma_to ** 2 * (sigma_from ** 2 - sigma_to ** 2) / sigma_from ** 2) ** 0.5) + sigma_down = (sigma_to ** 2 - sigma_up ** 2) ** 0.5 + return sigma_down, sigma_up + + +def default_noise_sampler(x, seed=None): + if seed is not None: + generator = torch.Generator(device=x.device) + generator.manual_seed(seed) + else: + generator = None + + return lambda sigma, sigma_next: torch.randn(x.size(), dtype=x.dtype, layout=x.layout, device=x.device, generator=generator) + + +class BatchedBrownianTree: + """A wrapper around torchsde.BrownianTree that enables batches of entropy.""" + + def __init__(self, x, t0, t1, seed=None, **kwargs): + self.cpu_tree = kwargs.pop("cpu", True) + t0, t1, self.sign = self.sort(t0, t1) + w0 = kwargs.pop('w0', None) + if w0 is None: + w0 = torch.zeros_like(x) + self.batched = False + if seed is None: + seed = (torch.randint(0, 2 ** 63 - 1, ()).item(),) + elif isinstance(seed, (tuple, list)): + if len(seed) != x.shape[0]: + raise ValueError("Passing a list or tuple of seeds to BatchedBrownianTree requires a length matching the batch size.") + self.batched = True + w0 = w0[0] + else: + seed = (seed,) + if self.cpu_tree: + t0, w0, t1 = t0.detach().cpu(), w0.detach().cpu(), t1.detach().cpu() + self.trees = tuple(torchsde.BrownianTree(t0, w0, t1, entropy=s, **kwargs) for s in seed) + + @staticmethod + def sort(a, b): + return (a, b, 1) if a < b else (b, a, -1) + + def __call__(self, t0, t1): + t0, t1, sign = self.sort(t0, t1) + device, dtype = t0.device, t0.dtype + if self.cpu_tree: + t0, t1 = t0.detach().cpu().float(), t1.detach().cpu().float() + w = torch.stack([tree(t0, t1) for tree in self.trees]).to(device=device, dtype=dtype) * (self.sign * sign) + return w if self.batched else w[0] + + +class BrownianTreeNoiseSampler: + """A noise sampler backed by a torchsde.BrownianTree. + + Args: + x (Tensor): The tensor whose shape, device and dtype to use to generate + random samples. + sigma_min (float): The low end of the valid interval. + sigma_max (float): The high end of the valid interval. + seed (int or List[int]): The random seed. If a list of seeds is + supplied instead of a single integer, then the noise sampler will + use one BrownianTree per batch item, each with its own seed. + transform (callable): A function that maps sigma to the sampler's + internal timestep. + """ + + def __init__(self, x, sigma_min, sigma_max, seed=None, transform=lambda x: x, cpu=False): + self.transform = transform + t0, t1 = self.transform(torch.as_tensor(sigma_min)), self.transform(torch.as_tensor(sigma_max)) + self.tree = BatchedBrownianTree(x, t0, t1, seed, cpu=cpu) + + def __call__(self, sigma, sigma_next): + t0, t1 = self.transform(torch.as_tensor(sigma)), self.transform(torch.as_tensor(sigma_next)) + return self.tree(t0, t1) / (t1 - t0).abs().sqrt() + + +def sigma_to_half_log_snr(sigma, model_sampling): + """Convert sigma to half-logSNR log(alpha_t / sigma_t).""" + if isinstance(model_sampling, comfy.model_sampling.CONST): + # log((1 - t) / t) = log((1 - sigma) / sigma) + return sigma.logit().neg() + return sigma.log().neg() + + +def half_log_snr_to_sigma(half_log_snr, model_sampling): + """Convert half-logSNR log(alpha_t / sigma_t) to sigma.""" + if isinstance(model_sampling, comfy.model_sampling.CONST): + # 1 / (1 + exp(half_log_snr)) + return half_log_snr.neg().sigmoid() + return half_log_snr.neg().exp() + + +def offset_first_sigma_for_snr(sigmas, model_sampling, percent_offset=1e-4): + """Adjust the first sigma to avoid invalid logSNR.""" + if len(sigmas) <= 1: + return sigmas + if isinstance(model_sampling, comfy.model_sampling.CONST): + if sigmas[0] >= 1: + sigmas = sigmas.clone() + sigmas[0] = model_sampling.percent_to_sigma(percent_offset) + return sigmas + + +def ei_h_phi_1(h: torch.Tensor) -> torch.Tensor: + """Compute the result of h*phi_1(h) in exponential integrator methods.""" + return torch.expm1(h) + + +def ei_h_phi_2(h: torch.Tensor) -> torch.Tensor: + """Compute the result of h*phi_2(h) in exponential integrator methods.""" + return (torch.expm1(h) - h) / h + + +@torch.no_grad() +def sample_euler(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + """Implements Algorithm 2 (Euler steps) from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + if s_churn > 0: + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + sigma_hat = sigmas[i] * (gamma + 1) + else: + gamma = 0 + sigma_hat = sigmas[i] + + if gamma > 0: + eps = torch.randn_like(x) * s_noise + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + dt = sigmas[i + 1] - sigma_hat + # Euler method + x = x + d * dt + return x + + +@torch.no_grad() +def sample_euler_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST): + return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) + """Ancestral sampling with Euler method steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + if sigma_down == 0: + x = denoised + else: + d = to_d(x, sigmas[i], denoised) + # Euler method + dt = sigma_down - sigmas[i] + x = x + d * dt + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up + return x + +@torch.no_grad() +def sample_euler_ancestral_RF(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1.0, s_noise=1., noise_sampler=None): + """Ancestral sampling with Euler method steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + # sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + if sigmas[i + 1] == 0: + x = denoised + else: + downstep_ratio = 1 + (sigmas[i + 1] / sigmas[i] - 1) * eta + sigma_down = sigmas[i + 1] * downstep_ratio + alpha_ip1 = 1 - sigmas[i + 1] + alpha_down = 1 - sigma_down + renoise_coeff = (sigmas[i + 1]**2 - sigma_down**2 * alpha_ip1**2 / alpha_down**2)**0.5 + # Euler method + sigma_down_i_ratio = sigma_down / sigmas[i] + x = sigma_down_i_ratio * x + (1 - sigma_down_i_ratio) * denoised + if eta > 0: + x = (alpha_ip1 / alpha_down) * x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * renoise_coeff + return x + +@torch.no_grad() +def sample_heun(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + """Implements Algorithm 2 (Heun steps) from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + if s_churn > 0: + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + sigma_hat = sigmas[i] * (gamma + 1) + else: + gamma = 0 + sigma_hat = sigmas[i] + + sigma_hat = sigmas[i] * (gamma + 1) + if gamma > 0: + eps = torch.randn_like(x) * s_noise + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + dt = sigmas[i + 1] - sigma_hat + if sigmas[i + 1] == 0: + # Euler method + x = x + d * dt + else: + # Heun's method + x_2 = x + d * dt + denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args) + d_2 = to_d(x_2, sigmas[i + 1], denoised_2) + d_prime = (d + d_2) / 2 + x = x + d_prime * dt + return x + + +@torch.no_grad() +def sample_dpm_2(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + """A sampler inspired by DPM-Solver-2 and Algorithm 2 from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + if s_churn > 0: + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + sigma_hat = sigmas[i] * (gamma + 1) + else: + gamma = 0 + sigma_hat = sigmas[i] + + if gamma > 0: + eps = torch.randn_like(x) * s_noise + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Euler method + dt = sigmas[i + 1] - sigma_hat + x = x + d * dt + else: + # DPM-Solver-2 + sigma_mid = sigma_hat.log().lerp(sigmas[i + 1].log(), 0.5).exp() + dt_1 = sigma_mid - sigma_hat + dt_2 = sigmas[i + 1] - sigma_hat + x_2 = x + d * dt_1 + denoised_2 = model(x_2, sigma_mid * s_in, **extra_args) + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + return x + + +@torch.no_grad() +def sample_dpm_2_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST): + return sample_dpm_2_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) + + """Ancestral sampling with DPM-Solver second-order steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + d = to_d(x, sigmas[i], denoised) + if sigma_down == 0: + # Euler method + dt = sigma_down - sigmas[i] + x = x + d * dt + else: + # DPM-Solver-2 + sigma_mid = sigmas[i].log().lerp(sigma_down.log(), 0.5).exp() + dt_1 = sigma_mid - sigmas[i] + dt_2 = sigma_down - sigmas[i] + x_2 = x + d * dt_1 + denoised_2 = model(x_2, sigma_mid * s_in, **extra_args) + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up + return x + +@torch.no_grad() +def sample_dpm_2_ancestral_RF(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + """Ancestral sampling with DPM-Solver second-order steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + downstep_ratio = 1 + (sigmas[i+1]/sigmas[i] - 1) * eta + sigma_down = sigmas[i+1] * downstep_ratio + alpha_ip1 = 1 - sigmas[i+1] + alpha_down = 1 - sigma_down + renoise_coeff = (sigmas[i+1]**2 - sigma_down**2*alpha_ip1**2/alpha_down**2)**0.5 + + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + d = to_d(x, sigmas[i], denoised) + if sigma_down == 0: + # Euler method + dt = sigma_down - sigmas[i] + x = x + d * dt + else: + # DPM-Solver-2 + sigma_mid = sigmas[i].log().lerp(sigma_down.log(), 0.5).exp() + dt_1 = sigma_mid - sigmas[i] + dt_2 = sigma_down - sigmas[i] + x_2 = x + d * dt_1 + denoised_2 = model(x_2, sigma_mid * s_in, **extra_args) + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + x = (alpha_ip1/alpha_down) * x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * renoise_coeff + return x + +def linear_multistep_coeff(order, t, i, j): + if order - 1 > i: + raise ValueError(f'Order {order} too high for step {i}') + def fn(tau): + prod = 1. + for k in range(order): + if j == k: + continue + prod *= (tau - t[i - k]) / (t[i - j] - t[i - k]) + return prod + return integrate.quad(fn, t[i], t[i + 1], epsrel=1e-4)[0] + + +@torch.no_grad() +def sample_lms(model, x, sigmas, extra_args=None, callback=None, disable=None, order=4): + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + sigmas_cpu = sigmas.detach().cpu().numpy() + ds = [] + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + d = to_d(x, sigmas[i], denoised) + ds.append(d) + if len(ds) > order: + ds.pop(0) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + cur_order = min(i + 1, order) + coeffs = [linear_multistep_coeff(cur_order, sigmas_cpu, i, j) for j in range(cur_order)] + x = x + sum(coeff * d for coeff, d in zip(coeffs, reversed(ds))) + return x + + +class PIDStepSizeController: + """A PID controller for ODE adaptive step size control.""" + def __init__(self, h, pcoeff, icoeff, dcoeff, order=1, accept_safety=0.81, eps=1e-8): + self.h = h + self.b1 = (pcoeff + icoeff + dcoeff) / order + self.b2 = -(pcoeff + 2 * dcoeff) / order + self.b3 = dcoeff / order + self.accept_safety = accept_safety + self.eps = eps + self.errs = [] + + def limiter(self, x): + return 1 + math.atan(x - 1) + + def propose_step(self, error): + inv_error = 1 / (float(error) + self.eps) + if not self.errs: + self.errs = [inv_error, inv_error, inv_error] + self.errs[0] = inv_error + factor = self.errs[0] ** self.b1 * self.errs[1] ** self.b2 * self.errs[2] ** self.b3 + factor = self.limiter(factor) + accept = factor >= self.accept_safety + if accept: + self.errs[2] = self.errs[1] + self.errs[1] = self.errs[0] + self.h *= factor + return accept + + +class DPMSolver(nn.Module): + """DPM-Solver. See https://arxiv.org/abs/2206.00927.""" + + def __init__(self, model, extra_args=None, eps_callback=None, info_callback=None): + super().__init__() + self.model = model + self.extra_args = {} if extra_args is None else extra_args + self.eps_callback = eps_callback + self.info_callback = info_callback + + def t(self, sigma): + return -sigma.log() + + def sigma(self, t): + return t.neg().exp() + + def eps(self, eps_cache, key, x, t, *args, **kwargs): + if key in eps_cache: + return eps_cache[key], eps_cache + sigma = self.sigma(t) * x.new_ones([x.shape[0]]) + eps = (x - self.model(x, sigma, *args, **self.extra_args, **kwargs)) / self.sigma(t) + if self.eps_callback is not None: + self.eps_callback() + return eps, {key: eps, **eps_cache} + + def dpm_solver_1_step(self, x, t, t_next, eps_cache=None): + eps_cache = {} if eps_cache is None else eps_cache + h = t_next - t + eps, eps_cache = self.eps(eps_cache, 'eps', x, t) + x_1 = x - self.sigma(t_next) * h.expm1() * eps + return x_1, eps_cache + + def dpm_solver_2_step(self, x, t, t_next, r1=1 / 2, eps_cache=None): + eps_cache = {} if eps_cache is None else eps_cache + h = t_next - t + eps, eps_cache = self.eps(eps_cache, 'eps', x, t) + s1 = t + r1 * h + u1 = x - self.sigma(s1) * (r1 * h).expm1() * eps + eps_r1, eps_cache = self.eps(eps_cache, 'eps_r1', u1, s1) + x_2 = x - self.sigma(t_next) * h.expm1() * eps - self.sigma(t_next) / (2 * r1) * h.expm1() * (eps_r1 - eps) + return x_2, eps_cache + + def dpm_solver_3_step(self, x, t, t_next, r1=1 / 3, r2=2 / 3, eps_cache=None): + eps_cache = {} if eps_cache is None else eps_cache + h = t_next - t + eps, eps_cache = self.eps(eps_cache, 'eps', x, t) + s1 = t + r1 * h + s2 = t + r2 * h + u1 = x - self.sigma(s1) * (r1 * h).expm1() * eps + eps_r1, eps_cache = self.eps(eps_cache, 'eps_r1', u1, s1) + u2 = x - self.sigma(s2) * (r2 * h).expm1() * eps - self.sigma(s2) * (r2 / r1) * ((r2 * h).expm1() / (r2 * h) - 1) * (eps_r1 - eps) + eps_r2, eps_cache = self.eps(eps_cache, 'eps_r2', u2, s2) + x_3 = x - self.sigma(t_next) * h.expm1() * eps - self.sigma(t_next) / r2 * (h.expm1() / h - 1) * (eps_r2 - eps) + return x_3, eps_cache + + def dpm_solver_fast(self, x, t_start, t_end, nfe, eta=0., s_noise=1., noise_sampler=None): + noise_sampler = default_noise_sampler(x, seed=self.extra_args.get("seed", None)) if noise_sampler is None else noise_sampler + if not t_end > t_start and eta: + raise ValueError('eta must be 0 for reverse sampling') + + m = math.floor(nfe / 3) + 1 + ts = torch.linspace(t_start, t_end, m + 1, device=x.device) + + if nfe % 3 == 0: + orders = [3] * (m - 2) + [2, 1] + else: + orders = [3] * (m - 1) + [nfe % 3] + + for i in range(len(orders)): + eps_cache = {} + t, t_next = ts[i], ts[i + 1] + if eta: + sd, su = get_ancestral_step(self.sigma(t), self.sigma(t_next), eta) + t_next_ = torch.minimum(t_end, self.t(sd)) + su = (self.sigma(t_next) ** 2 - self.sigma(t_next_) ** 2) ** 0.5 + else: + t_next_, su = t_next, 0. + + eps, eps_cache = self.eps(eps_cache, 'eps', x, t) + denoised = x - self.sigma(t) * eps + if self.info_callback is not None: + self.info_callback({'x': x, 'i': i, 't': ts[i], 't_up': t, 'denoised': denoised}) + + if orders[i] == 1: + x, eps_cache = self.dpm_solver_1_step(x, t, t_next_, eps_cache=eps_cache) + elif orders[i] == 2: + x, eps_cache = self.dpm_solver_2_step(x, t, t_next_, eps_cache=eps_cache) + else: + x, eps_cache = self.dpm_solver_3_step(x, t, t_next_, eps_cache=eps_cache) + + x = x + su * s_noise * noise_sampler(self.sigma(t), self.sigma(t_next)) + + return x + + def dpm_solver_adaptive(self, x, t_start, t_end, order=3, rtol=0.05, atol=0.0078, h_init=0.05, pcoeff=0., icoeff=1., dcoeff=0., accept_safety=0.81, eta=0., s_noise=1., noise_sampler=None): + noise_sampler = default_noise_sampler(x, seed=self.extra_args.get("seed", None)) if noise_sampler is None else noise_sampler + if order not in {2, 3}: + raise ValueError('order should be 2 or 3') + forward = t_end > t_start + if not forward and eta: + raise ValueError('eta must be 0 for reverse sampling') + h_init = abs(h_init) * (1 if forward else -1) + atol = torch.tensor(atol) + rtol = torch.tensor(rtol) + s = t_start + x_prev = x + accept = True + pid = PIDStepSizeController(h_init, pcoeff, icoeff, dcoeff, 1.5 if eta else order, accept_safety) + info = {'steps': 0, 'nfe': 0, 'n_accept': 0, 'n_reject': 0} + + while s < t_end - 1e-5 if forward else s > t_end + 1e-5: + eps_cache = {} + t = torch.minimum(t_end, s + pid.h) if forward else torch.maximum(t_end, s + pid.h) + if eta: + sd, su = get_ancestral_step(self.sigma(s), self.sigma(t), eta) + t_ = torch.minimum(t_end, self.t(sd)) + su = (self.sigma(t) ** 2 - self.sigma(t_) ** 2) ** 0.5 + else: + t_, su = t, 0. + + eps, eps_cache = self.eps(eps_cache, 'eps', x, s) + denoised = x - self.sigma(s) * eps + + if order == 2: + x_low, eps_cache = self.dpm_solver_1_step(x, s, t_, eps_cache=eps_cache) + x_high, eps_cache = self.dpm_solver_2_step(x, s, t_, eps_cache=eps_cache) + else: + x_low, eps_cache = self.dpm_solver_2_step(x, s, t_, r1=1 / 3, eps_cache=eps_cache) + x_high, eps_cache = self.dpm_solver_3_step(x, s, t_, eps_cache=eps_cache) + delta = torch.maximum(atol, rtol * torch.maximum(x_low.abs(), x_prev.abs())) + error = torch.linalg.norm((x_low - x_high) / delta) / x.numel() ** 0.5 + accept = pid.propose_step(error) + if accept: + x_prev = x_low + x = x_high + su * s_noise * noise_sampler(self.sigma(s), self.sigma(t)) + s = t + info['n_accept'] += 1 + else: + info['n_reject'] += 1 + info['nfe'] += order + info['steps'] += 1 + + if self.info_callback is not None: + self.info_callback({'x': x, 'i': info['steps'] - 1, 't': s, 't_up': s, 'denoised': denoised, 'error': error, 'h': pid.h, **info}) + + return x, info + + +@torch.no_grad() +def sample_dpm_fast(model, x, sigma_min, sigma_max, n, extra_args=None, callback=None, disable=None, eta=0., s_noise=1., noise_sampler=None): + """DPM-Solver-Fast (fixed step size). See https://arxiv.org/abs/2206.00927.""" + if sigma_min <= 0 or sigma_max <= 0: + raise ValueError('sigma_min and sigma_max must not be 0') + with tqdm(total=n, disable=disable) as pbar: + dpm_solver = DPMSolver(model, extra_args, eps_callback=pbar.update) + if callback is not None: + dpm_solver.info_callback = lambda info: callback({'sigma': dpm_solver.sigma(info['t']), 'sigma_hat': dpm_solver.sigma(info['t_up']), **info}) + return dpm_solver.dpm_solver_fast(x, dpm_solver.t(torch.tensor(sigma_max)), dpm_solver.t(torch.tensor(sigma_min)), n, eta, s_noise, noise_sampler) + + +@torch.no_grad() +def sample_dpm_adaptive(model, x, sigma_min, sigma_max, extra_args=None, callback=None, disable=None, order=3, rtol=0.05, atol=0.0078, h_init=0.05, pcoeff=0., icoeff=1., dcoeff=0., accept_safety=0.81, eta=0., s_noise=1., noise_sampler=None, return_info=False): + """DPM-Solver-12 and 23 (adaptive step size). See https://arxiv.org/abs/2206.00927.""" + if sigma_min <= 0 or sigma_max <= 0: + raise ValueError('sigma_min and sigma_max must not be 0') + with tqdm(disable=disable) as pbar: + dpm_solver = DPMSolver(model, extra_args, eps_callback=pbar.update) + if callback is not None: + dpm_solver.info_callback = lambda info: callback({'sigma': dpm_solver.sigma(info['t']), 'sigma_hat': dpm_solver.sigma(info['t_up']), **info}) + x, info = dpm_solver.dpm_solver_adaptive(x, dpm_solver.t(torch.tensor(sigma_max)), dpm_solver.t(torch.tensor(sigma_min)), order, rtol, atol, h_init, pcoeff, icoeff, dcoeff, accept_safety, eta, s_noise, noise_sampler) + if return_info: + return x, info + return x + + +@torch.no_grad() +def sample_dpmpp_2s_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST): + return sample_dpmpp_2s_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) + + """Ancestral sampling with DPM-Solver++(2S) second-order steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + sigma_fn = lambda t: t.neg().exp() + t_fn = lambda sigma: sigma.log().neg() + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigma_down == 0: + # Euler method + d = to_d(x, sigmas[i], denoised) + dt = sigma_down - sigmas[i] + x = x + d * dt + else: + # DPM-Solver++(2S) + t, t_next = t_fn(sigmas[i]), t_fn(sigma_down) + r = 1 / 2 + h = t_next - t + s = t + r * h + x_2 = (sigma_fn(s) / sigma_fn(t)) * x - (-h * r).expm1() * denoised + denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args) + x = (sigma_fn(t_next) / sigma_fn(t)) * x - (-h).expm1() * denoised_2 + # Noise addition + if sigmas[i + 1] > 0: + x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up + return x + + +@torch.no_grad() +def sample_dpmpp_2s_ancestral_RF(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + """Ancestral sampling with DPM-Solver++(2S) second-order steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + sigma_fn = lambda lbda: (lbda.exp() + 1) ** -1 + lambda_fn = lambda sigma: ((1-sigma)/sigma).log() + + # logged_x = x.unsqueeze(0) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + downstep_ratio = 1 + (sigmas[i+1]/sigmas[i] - 1) * eta + sigma_down = sigmas[i+1] * downstep_ratio + alpha_ip1 = 1 - sigmas[i+1] + alpha_down = 1 - sigma_down + renoise_coeff = (sigmas[i+1]**2 - sigma_down**2*alpha_ip1**2/alpha_down**2)**0.5 + # sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Euler method + d = to_d(x, sigmas[i], denoised) + dt = sigma_down - sigmas[i] + x = x + d * dt + else: + # DPM-Solver++(2S) + if sigmas[i] == 1.0: + sigma_s = 0.9999 + else: + t_i, t_down = lambda_fn(sigmas[i]), lambda_fn(sigma_down) + r = 1 / 2 + h = t_down - t_i + s = t_i + r * h + sigma_s = sigma_fn(s) + # sigma_s = sigmas[i+1] + sigma_s_i_ratio = sigma_s / sigmas[i] + u = sigma_s_i_ratio * x + (1 - sigma_s_i_ratio) * denoised + D_i = model(u, sigma_s * s_in, **extra_args) + sigma_down_i_ratio = sigma_down / sigmas[i] + x = sigma_down_i_ratio * x + (1 - sigma_down_i_ratio) * D_i + # print("sigma_i", sigmas[i], "sigma_ip1", sigmas[i+1],"sigma_down", sigma_down, "sigma_down_i_ratio", sigma_down_i_ratio, "sigma_s_i_ratio", sigma_s_i_ratio, "renoise_coeff", renoise_coeff) + # Noise addition + if sigmas[i + 1] > 0 and eta > 0: + x = (alpha_ip1/alpha_down) * x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * renoise_coeff + # logged_x = torch.cat((logged_x, x.unsqueeze(0)), dim=0) + return x + + +@torch.no_grad() +def sample_dpmpp_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r=1 / 2): + """DPM-Solver++ (stochastic).""" + if len(sigmas) <= 1: + return x + + extra_args = {} if extra_args is None else extra_args + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + seed = extra_args.get("seed", None) + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + + model_sampling = model.inner_model.model_patcher.get_model_object('model_sampling') + sigma_fn = partial(half_log_snr_to_sigma, model_sampling=model_sampling) + lambda_fn = partial(sigma_to_half_log_snr, model_sampling=model_sampling) + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + # DPM-Solver++ + lambda_s, lambda_t = lambda_fn(sigmas[i]), lambda_fn(sigmas[i + 1]) + h = lambda_t - lambda_s + lambda_s_1 = lambda_s + r * h + fac = 1 / (2 * r) + + sigma_s_1 = sigma_fn(lambda_s_1) + + alpha_s = sigmas[i] * lambda_s.exp() + alpha_s_1 = sigma_s_1 * lambda_s_1.exp() + alpha_t = sigmas[i + 1] * lambda_t.exp() + + # Step 1 + sd, su = get_ancestral_step(lambda_s.neg().exp(), lambda_s_1.neg().exp(), eta) + lambda_s_1_ = sd.log().neg() + h_ = lambda_s_1_ - lambda_s + x_2 = (alpha_s_1 / alpha_s) * (-h_).exp() * x - alpha_s_1 * (-h_).expm1() * denoised + if eta > 0 and s_noise > 0: + x_2 = x_2 + alpha_s_1 * noise_sampler(sigmas[i], sigma_s_1) * s_noise * su + denoised_2 = model(x_2, sigma_s_1 * s_in, **extra_args) + + # Step 2 + sd, su = get_ancestral_step(lambda_s.neg().exp(), lambda_t.neg().exp(), eta) + lambda_t_ = sd.log().neg() + h_ = lambda_t_ - lambda_s + denoised_d = (1 - fac) * denoised + fac * denoised_2 + x = (alpha_t / alpha_s) * (-h_).exp() * x - alpha_t * (-h_).expm1() * denoised_d + if eta > 0 and s_noise > 0: + x = x + alpha_t * noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * su + return x + + +@torch.no_grad() +def sample_dpmpp_2m(model, x, sigmas, extra_args=None, callback=None, disable=None): + """DPM-Solver++(2M).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + sigma_fn = lambda t: t.neg().exp() + t_fn = lambda sigma: sigma.log().neg() + old_denoised = None + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + t, t_next = t_fn(sigmas[i]), t_fn(sigmas[i + 1]) + h = t_next - t + if old_denoised is None or sigmas[i + 1] == 0: + x = (sigma_fn(t_next) / sigma_fn(t)) * x - (-h).expm1() * denoised + else: + h_last = t - t_fn(sigmas[i - 1]) + r = h_last / h + denoised_d = (1 + 1 / (2 * r)) * denoised - (1 / (2 * r)) * old_denoised + x = (sigma_fn(t_next) / sigma_fn(t)) * x - (-h).expm1() * denoised_d + old_denoised = denoised + return x + + +@torch.no_grad() +def sample_dpmpp_2m_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type='midpoint'): + """DPM-Solver++(2M) SDE.""" + if len(sigmas) <= 1: + return x + + if solver_type not in {'heun', 'midpoint'}: + raise ValueError('solver_type must be \'heun\' or \'midpoint\'') + + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + + model_sampling = model.inner_model.model_patcher.get_model_object('model_sampling') + lambda_fn = partial(sigma_to_half_log_snr, model_sampling=model_sampling) + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + + old_denoised = None + h, h_last = None, None + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + # DPM-Solver++(2M) SDE + lambda_s, lambda_t = lambda_fn(sigmas[i]), lambda_fn(sigmas[i + 1]) + h = lambda_t - lambda_s + h_eta = h * (eta + 1) + + alpha_t = sigmas[i + 1] * lambda_t.exp() + + x = sigmas[i + 1] / sigmas[i] * (-h * eta).exp() * x + alpha_t * (-h_eta).expm1().neg() * denoised + + if old_denoised is not None: + r = h_last / h + if solver_type == 'heun': + x = x + alpha_t * ((-h_eta).expm1().neg() / (-h_eta) + 1) * (1 / r) * (denoised - old_denoised) + elif solver_type == 'midpoint': + x = x + 0.5 * alpha_t * (-h_eta).expm1().neg() * (1 / r) * (denoised - old_denoised) + + if eta > 0 and s_noise > 0: + x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * sigmas[i + 1] * (-2 * h * eta).expm1().neg().sqrt() * s_noise + + old_denoised = denoised + h_last = h + return x + + +@torch.no_grad() +def sample_dpmpp_2m_sde_heun(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type='heun'): + return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type) + + +@torch.no_grad() +def sample_dpmpp_3m_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + """DPM-Solver++(3M) SDE.""" + + if len(sigmas) <= 1: + return x + + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + + model_sampling = model.inner_model.model_patcher.get_model_object('model_sampling') + lambda_fn = partial(sigma_to_half_log_snr, model_sampling=model_sampling) + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + + denoised_1, denoised_2 = None, None + h, h_1, h_2 = None, None, None + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + lambda_s, lambda_t = lambda_fn(sigmas[i]), lambda_fn(sigmas[i + 1]) + h = lambda_t - lambda_s + h_eta = h * (eta + 1) + + alpha_t = sigmas[i + 1] * lambda_t.exp() + + x = sigmas[i + 1] / sigmas[i] * (-h * eta).exp() * x + alpha_t * (-h_eta).expm1().neg() * denoised + + if h_2 is not None: + # DPM-Solver++(3M) SDE + r0 = h_1 / h + r1 = h_2 / h + d1_0 = (denoised - denoised_1) / r0 + d1_1 = (denoised_1 - denoised_2) / r1 + d1 = d1_0 + (d1_0 - d1_1) * r0 / (r0 + r1) + d2 = (d1_0 - d1_1) / (r0 + r1) + phi_2 = h_eta.neg().expm1() / h_eta + 1 + phi_3 = phi_2 / h_eta - 0.5 + x = x + (alpha_t * phi_2) * d1 - (alpha_t * phi_3) * d2 + elif h_1 is not None: + # DPM-Solver++(2M) SDE + r = h_1 / h + d = (denoised - denoised_1) / r + phi_2 = h_eta.neg().expm1() / h_eta + 1 + x = x + (alpha_t * phi_2) * d + + if eta > 0 and s_noise > 0: + x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * sigmas[i + 1] * (-2 * h * eta).expm1().neg().sqrt() * s_noise + + denoised_1, denoised_2 = denoised, denoised_1 + h_1, h_2 = h, h_1 + return x + + +@torch.no_grad() +def sample_dpmpp_3m_sde_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + if len(sigmas) <= 1: + return x + extra_args = {} if extra_args is None else extra_args + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler + return sample_dpmpp_3m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler) + + +@torch.no_grad() +def sample_dpmpp_2m_sde_heun_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type='heun'): + if len(sigmas) <= 1: + return x + extra_args = {} if extra_args is None else extra_args + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler + return sample_dpmpp_2m_sde_heun(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type) + + +@torch.no_grad() +def sample_dpmpp_2m_sde_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type='midpoint'): + if len(sigmas) <= 1: + return x + extra_args = {} if extra_args is None else extra_args + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler + return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type) + + +@torch.no_grad() +def sample_dpmpp_sde_gpu(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r=1 / 2): + if len(sigmas) <= 1: + return x + extra_args = {} if extra_args is None else extra_args + sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() + noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler + return sample_dpmpp_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, r=r) + + +def DDPMSampler_step(x, sigma, sigma_prev, noise, noise_sampler): + alpha_cumprod = 1 / ((sigma * sigma) + 1) + alpha_cumprod_prev = 1 / ((sigma_prev * sigma_prev) + 1) + alpha = (alpha_cumprod / alpha_cumprod_prev) + + mu = (1.0 / alpha).sqrt() * (x - (1 - alpha) * noise / (1 - alpha_cumprod).sqrt()) + if sigma_prev > 0: + mu += ((1 - alpha) * (1. - alpha_cumprod_prev) / (1. - alpha_cumprod)).sqrt() * noise_sampler(sigma, sigma_prev) + return mu + +def generic_step_sampler(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None, step_function=None): + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + x = step_function(x / torch.sqrt(1.0 + sigmas[i] ** 2.0), sigmas[i], sigmas[i + 1], (x - denoised) / sigmas[i], noise_sampler) + if sigmas[i + 1] != 0: + x *= torch.sqrt(1.0 + sigmas[i + 1] ** 2.0) + return x + + +@torch.no_grad() +def sample_ddpm(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None): + return generic_step_sampler(model, x, sigmas, extra_args, callback, disable, noise_sampler, DDPMSampler_step) + +@torch.no_grad() +def sample_lcm(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None): + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + x = denoised + if sigmas[i + 1] > 0: + x = model.inner_model.inner_model.model_sampling.noise_scaling(sigmas[i + 1], noise_sampler(sigmas[i], sigmas[i + 1]), x) + return x + + + +@torch.no_grad() +def sample_heunpp2(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + # From MIT licensed: https://github.com/Carzit/sd-webui-samplers-scheduler/ + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + s_end = sigmas[-1] + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = sigmas[i] * (gamma + 1) + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + dt = sigmas[i + 1] - sigma_hat + if sigmas[i + 1] == s_end: + # Euler method + x = x + d * dt + elif sigmas[i + 2] == s_end: + + # Heun's method + x_2 = x + d * dt + denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args) + d_2 = to_d(x_2, sigmas[i + 1], denoised_2) + + w = 2 * sigmas[0] + w2 = sigmas[i+1]/w + w1 = 1 - w2 + + d_prime = d * w1 + d_2 * w2 + + + x = x + d_prime * dt + + else: + # Heun++ + x_2 = x + d * dt + denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args) + d_2 = to_d(x_2, sigmas[i + 1], denoised_2) + dt_2 = sigmas[i + 2] - sigmas[i + 1] + + x_3 = x_2 + d_2 * dt_2 + denoised_3 = model(x_3, sigmas[i + 2] * s_in, **extra_args) + d_3 = to_d(x_3, sigmas[i + 2], denoised_3) + + w = 3 * sigmas[0] + w2 = sigmas[i + 1] / w + w3 = sigmas[i + 2] / w + w1 = 1 - w2 - w3 + + d_prime = w1 * d + w2 * d_2 + w3 * d_3 + x = x + d_prime * dt + return x + + +#From https://github.com/zju-pi/diff-sampler/blob/main/diff-solvers-main/solvers.py +#under Apache 2 license +def sample_ipndm(model, x, sigmas, extra_args=None, callback=None, disable=None, max_order=4): + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + + x_next = x + + buffer_model = [] + for i in trange(len(sigmas) - 1, disable=disable): + t_cur = sigmas[i] + t_next = sigmas[i + 1] + + x_cur = x_next + + denoised = model(x_cur, t_cur * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + d_cur = (x_cur - denoised) / t_cur + + order = min(max_order, i+1) + if t_next == 0: # Denoising step + x_next = denoised + elif order == 1: # First Euler step. + x_next = x_cur + (t_next - t_cur) * d_cur + elif order == 2: # Use one history point. + x_next = x_cur + (t_next - t_cur) * (3 * d_cur - buffer_model[-1]) / 2 + elif order == 3: # Use two history points. + x_next = x_cur + (t_next - t_cur) * (23 * d_cur - 16 * buffer_model[-1] + 5 * buffer_model[-2]) / 12 + elif order == 4: # Use three history points. + x_next = x_cur + (t_next - t_cur) * (55 * d_cur - 59 * buffer_model[-1] + 37 * buffer_model[-2] - 9 * buffer_model[-3]) / 24 + + if len(buffer_model) == max_order - 1: + for k in range(max_order - 2): + buffer_model[k] = buffer_model[k+1] + buffer_model[-1] = d_cur + else: + buffer_model.append(d_cur) + + return x_next + + +#From https://github.com/zju-pi/diff-sampler/blob/main/diff-solvers-main/solvers.py +#under Apache 2 license +def sample_ipndm_v(model, x, sigmas, extra_args=None, callback=None, disable=None, max_order=4): + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + + x_next = x + t_steps = sigmas + + buffer_model = [] + for i in trange(len(sigmas) - 1, disable=disable): + t_cur = sigmas[i] + t_next = sigmas[i + 1] + + x_cur = x_next + + denoised = model(x_cur, t_cur * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + d_cur = (x_cur - denoised) / t_cur + + order = min(max_order, i+1) + if t_next == 0: # Denoising step + x_next = denoised + elif order == 1: # First Euler step. + x_next = x_cur + (t_next - t_cur) * d_cur + elif order == 2: # Use one history point. + h_n = (t_next - t_cur) + h_n_1 = (t_cur - t_steps[i-1]) + coeff1 = (2 + (h_n / h_n_1)) / 2 + coeff2 = -(h_n / h_n_1) / 2 + x_next = x_cur + (t_next - t_cur) * (coeff1 * d_cur + coeff2 * buffer_model[-1]) + elif order == 3: # Use two history points. + h_n = (t_next - t_cur) + h_n_1 = (t_cur - t_steps[i-1]) + h_n_2 = (t_steps[i-1] - t_steps[i-2]) + temp = (1 - h_n / (3 * (h_n + h_n_1)) * (h_n * (h_n + h_n_1)) / (h_n_1 * (h_n_1 + h_n_2))) / 2 + coeff1 = (2 + (h_n / h_n_1)) / 2 + temp + coeff2 = -(h_n / h_n_1) / 2 - (1 + h_n_1 / h_n_2) * temp + coeff3 = temp * h_n_1 / h_n_2 + x_next = x_cur + (t_next - t_cur) * (coeff1 * d_cur + coeff2 * buffer_model[-1] + coeff3 * buffer_model[-2]) + elif order == 4: # Use three history points. + h_n = (t_next - t_cur) + h_n_1 = (t_cur - t_steps[i-1]) + h_n_2 = (t_steps[i-1] - t_steps[i-2]) + h_n_3 = (t_steps[i-2] - t_steps[i-3]) + temp1 = (1 - h_n / (3 * (h_n + h_n_1)) * (h_n * (h_n + h_n_1)) / (h_n_1 * (h_n_1 + h_n_2))) / 2 + temp2 = ((1 - h_n / (3 * (h_n + h_n_1))) / 2 + (1 - h_n / (2 * (h_n + h_n_1))) * h_n / (6 * (h_n + h_n_1 + h_n_2))) \ + * (h_n * (h_n + h_n_1) * (h_n + h_n_1 + h_n_2)) / (h_n_1 * (h_n_1 + h_n_2) * (h_n_1 + h_n_2 + h_n_3)) + coeff1 = (2 + (h_n / h_n_1)) / 2 + temp1 + temp2 + coeff2 = -(h_n / h_n_1) / 2 - (1 + h_n_1 / h_n_2) * temp1 - (1 + (h_n_1 / h_n_2) + (h_n_1 * (h_n_1 + h_n_2) / (h_n_2 * (h_n_2 + h_n_3)))) * temp2 + coeff3 = temp1 * h_n_1 / h_n_2 + ((h_n_1 / h_n_2) + (h_n_1 * (h_n_1 + h_n_2) / (h_n_2 * (h_n_2 + h_n_3))) * (1 + h_n_2 / h_n_3)) * temp2 + coeff4 = -temp2 * (h_n_1 * (h_n_1 + h_n_2) / (h_n_2 * (h_n_2 + h_n_3))) * h_n_1 / h_n_2 + x_next = x_cur + (t_next - t_cur) * (coeff1 * d_cur + coeff2 * buffer_model[-1] + coeff3 * buffer_model[-2] + coeff4 * buffer_model[-3]) + + if len(buffer_model) == max_order - 1: + for k in range(max_order - 2): + buffer_model[k] = buffer_model[k+1] + buffer_model[-1] = d_cur.detach() + else: + buffer_model.append(d_cur.detach()) + + return x_next + + +#From https://github.com/zju-pi/diff-sampler/blob/main/diff-solvers-main/solvers.py +#under Apache 2 license +@torch.no_grad() +def sample_deis(model, x, sigmas, extra_args=None, callback=None, disable=None, max_order=3, deis_mode='tab'): + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + + x_next = x + t_steps = sigmas + + coeff_list = deis.get_deis_coeff_list(t_steps, max_order, deis_mode=deis_mode) + + buffer_model = [] + for i in trange(len(sigmas) - 1, disable=disable): + t_cur = sigmas[i] + t_next = sigmas[i + 1] + + x_cur = x_next + + denoised = model(x_cur, t_cur * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + d_cur = (x_cur - denoised) / t_cur + + order = min(max_order, i+1) + if t_next <= 0: + order = 1 + + if order == 1: # First Euler step. + x_next = x_cur + (t_next - t_cur) * d_cur + elif order == 2: # Use one history point. + coeff_cur, coeff_prev1 = coeff_list[i] + x_next = x_cur + coeff_cur * d_cur + coeff_prev1 * buffer_model[-1] + elif order == 3: # Use two history points. + coeff_cur, coeff_prev1, coeff_prev2 = coeff_list[i] + x_next = x_cur + coeff_cur * d_cur + coeff_prev1 * buffer_model[-1] + coeff_prev2 * buffer_model[-2] + elif order == 4: # Use three history points. + coeff_cur, coeff_prev1, coeff_prev2, coeff_prev3 = coeff_list[i] + x_next = x_cur + coeff_cur * d_cur + coeff_prev1 * buffer_model[-1] + coeff_prev2 * buffer_model[-2] + coeff_prev3 * buffer_model[-3] + + if len(buffer_model) == max_order - 1: + for k in range(max_order - 2): + buffer_model[k] = buffer_model[k+1] + buffer_model[-1] = d_cur.detach() + else: + buffer_model.append(d_cur.detach()) + + return x_next + + +@torch.no_grad() +def sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + """Ancestral sampling with Euler method steps (CFG++).""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + + model_sampling = model.inner_model.model_patcher.get_model_object("model_sampling") + lambda_fn = partial(sigma_to_half_log_snr, model_sampling=model_sampling) + + uncond_denoised = None + + def post_cfg_function(args): + nonlocal uncond_denoised + uncond_denoised = args["uncond_denoised"] + return args["denoised"] + + model_options = extra_args.get("model_options", {}).copy() + extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True) + + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + alpha_s = sigmas[i] * lambda_fn(sigmas[i]).exp() + alpha_t = sigmas[i + 1] * lambda_fn(sigmas[i + 1]).exp() + d = to_d(x, sigmas[i], alpha_s * uncond_denoised) # to noise + + # DDIM stochastic sampling + sigma_down, sigma_up = get_ancestral_step(sigmas[i] / alpha_s, sigmas[i + 1] / alpha_t, eta=eta) + sigma_down = alpha_t * sigma_down + + # Euler method + x = alpha_t * denoised + sigma_down * d + if eta > 0 and s_noise > 0: + x = x + alpha_t * noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up + return x + + +@torch.no_grad() +def sample_euler_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None): + """Euler method steps (CFG++).""" + return sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None) + + +@torch.no_grad() +def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + """Ancestral sampling with DPM-Solver++(2S) second-order steps.""" + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + + temp = [0] + def post_cfg_function(args): + temp[0] = args["uncond_denoised"] + return args["denoised"] + + model_options = extra_args.get("model_options", {}).copy() + extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True) + + s_in = x.new_ones([x.shape[0]]) + sigma_fn = lambda t: t.neg().exp() + t_fn = lambda sigma: sigma.log().neg() + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + if sigma_down == 0: + # Euler method + d = to_d(x, sigmas[i], temp[0]) + x = denoised + d * sigma_down + else: + # DPM-Solver++(2S) + t, t_next = t_fn(sigmas[i]), t_fn(sigma_down) + # r = torch.sinh(1 + (2 - eta) * (t_next - t) / (t - t_fn(sigma_up))) works only on non-cfgpp, weird + r = 1 / 2 + h = t_next - t + s = t + r * h + x_2 = (sigma_fn(s) / sigma_fn(t)) * (x + (denoised - temp[0])) - (-h * r).expm1() * denoised + denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args) + x = (sigma_fn(t_next) / sigma_fn(t)) * (x + (denoised - temp[0])) - (-h).expm1() * denoised_2 + # Noise addition + if sigmas[i + 1] > 0: + x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up + return x + +@torch.no_grad() +def sample_dpmpp_2m_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None): + """DPM-Solver++(2M).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + t_fn = lambda sigma: sigma.log().neg() + + old_uncond_denoised = None + uncond_denoised = None + def post_cfg_function(args): + nonlocal uncond_denoised + uncond_denoised = args["uncond_denoised"] + return args["denoised"] + + model_options = extra_args.get("model_options", {}).copy() + extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + t, t_next = t_fn(sigmas[i]), t_fn(sigmas[i + 1]) + h = t_next - t + if old_uncond_denoised is None or sigmas[i + 1] == 0: + denoised_mix = -torch.exp(-h) * uncond_denoised + else: + h_last = t - t_fn(sigmas[i - 1]) + r = h_last / h + denoised_mix = -torch.exp(-h) * uncond_denoised - torch.expm1(-h) * (1 / (2 * r)) * (denoised - old_uncond_denoised) + x = denoised + denoised_mix + torch.exp(-h) * x + old_uncond_denoised = uncond_denoised + return x + +@torch.no_grad() +def res_multistep(model, x, sigmas, extra_args=None, callback=None, disable=None, s_noise=1., noise_sampler=None, eta=1., cfg_pp=False): + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + sigma_fn = lambda t: t.neg().exp() + t_fn = lambda sigma: sigma.log().neg() + phi1_fn = lambda t: torch.expm1(t) / t + phi2_fn = lambda t: (phi1_fn(t) - 1.0) / t + + old_sigma_down = None + old_denoised = None + uncond_denoised = None + def post_cfg_function(args): + nonlocal uncond_denoised + uncond_denoised = args["uncond_denoised"] + return args["denoised"] + + if cfg_pp: + model_options = extra_args.get("model_options", {}).copy() + extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1], eta=eta) + if callback is not None: + callback({"x": x, "i": i, "sigma": sigmas[i], "sigma_hat": sigmas[i], "denoised": denoised}) + if sigma_down == 0 or old_denoised is None: + # Euler method + if cfg_pp: + d = to_d(x, sigmas[i], uncond_denoised) + x = denoised + d * sigma_down + else: + d = to_d(x, sigmas[i], denoised) + dt = sigma_down - sigmas[i] + x = x + d * dt + else: + # Second order multistep method in https://arxiv.org/pdf/2308.02157 + t, t_old, t_next, t_prev = t_fn(sigmas[i]), t_fn(old_sigma_down), t_fn(sigma_down), t_fn(sigmas[i - 1]) + h = t_next - t + c2 = (t_prev - t_old) / h + + phi1_val, phi2_val = phi1_fn(-h), phi2_fn(-h) + b1 = torch.nan_to_num(phi1_val - phi2_val / c2, nan=0.0) + b2 = torch.nan_to_num(phi2_val / c2, nan=0.0) + + if cfg_pp: + x = x + (denoised - uncond_denoised) + x = sigma_fn(h) * x + h * (b1 * uncond_denoised + b2 * old_denoised) + else: + x = sigma_fn(h) * x + h * (b1 * denoised + b2 * old_denoised) + + # Noise addition + if sigmas[i + 1] > 0: + x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up + + if cfg_pp: + old_denoised = uncond_denoised + else: + old_denoised = denoised + old_sigma_down = sigma_down + return x + +@torch.no_grad() +def sample_res_multistep(model, x, sigmas, extra_args=None, callback=None, disable=None, s_noise=1., noise_sampler=None): + return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=0., cfg_pp=False) + +@torch.no_grad() +def sample_res_multistep_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, s_noise=1., noise_sampler=None): + return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=0., cfg_pp=True) + +@torch.no_grad() +def sample_res_multistep_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=eta, cfg_pp=False) + +@torch.no_grad() +def sample_res_multistep_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None): + return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=eta, cfg_pp=True) + + +@torch.no_grad() +def sample_gradient_estimation(model, x, sigmas, extra_args=None, callback=None, disable=None, ge_gamma=2., cfg_pp=False): + """Gradient-estimation sampler. Paper: https://openreview.net/pdf?id=o2ND9v0CeK""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + old_d = None + + uncond_denoised = None + def post_cfg_function(args): + nonlocal uncond_denoised + uncond_denoised = args["uncond_denoised"] + return args["denoised"] + + if cfg_pp: + model_options = extra_args.get("model_options", {}).copy() + extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if cfg_pp: + d = to_d(x, sigmas[i], uncond_denoised) + else: + d = to_d(x, sigmas[i], denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + dt = sigmas[i + 1] - sigmas[i] + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + # Euler method + if cfg_pp: + x = denoised + d * sigmas[i + 1] + else: + x = x + d * dt + + if i >= 1: + # Gradient estimation + d_bar = (ge_gamma - 1) * (d - old_d) + x = x + d_bar * dt + old_d = d + return x + + +@torch.no_grad() +def sample_gradient_estimation_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, ge_gamma=2.): + return sample_gradient_estimation(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, ge_gamma=ge_gamma, cfg_pp=True) + + +@torch.no_grad() +def sample_er_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, s_noise=1.0, noise_sampler=None, noise_scaler=None, max_stage=3): + """Extended Reverse-Time SDE solver (VP ER-SDE-Solver-3). arXiv: https://arxiv.org/abs/2309.06169. + Code reference: https://github.com/QinpengCui/ER-SDE-Solver/blob/main/er_sde_solver.py. + """ + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + + def default_er_sde_noise_scaler(x): + return x * ((x ** 0.3).exp() + 10.0) + + noise_scaler = default_er_sde_noise_scaler if noise_scaler is None else noise_scaler + num_integration_points = 200.0 + point_indice = torch.arange(0, num_integration_points, dtype=torch.float32, device=x.device) + + model_sampling = model.inner_model.model_patcher.get_model_object("model_sampling") + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + half_log_snrs = sigma_to_half_log_snr(sigmas, model_sampling) + er_lambdas = half_log_snrs.neg().exp() # er_lambda_t = sigma_t / alpha_t + + old_denoised = None + old_denoised_d = None + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + stage_used = min(max_stage, i + 1) + if sigmas[i + 1] == 0: + x = denoised + else: + er_lambda_s, er_lambda_t = er_lambdas[i], er_lambdas[i + 1] + alpha_s = sigmas[i] / er_lambda_s + alpha_t = sigmas[i + 1] / er_lambda_t + r_alpha = alpha_t / alpha_s + r = noise_scaler(er_lambda_t) / noise_scaler(er_lambda_s) + + # Stage 1 Euler + x = r_alpha * r * x + alpha_t * (1 - r) * denoised + + if stage_used >= 2: + dt = er_lambda_t - er_lambda_s + lambda_step_size = -dt / num_integration_points + lambda_pos = er_lambda_t + point_indice * lambda_step_size + scaled_pos = noise_scaler(lambda_pos) + + # Stage 2 + s = torch.sum(1 / scaled_pos) * lambda_step_size + denoised_d = (denoised - old_denoised) / (er_lambda_s - er_lambdas[i - 1]) + x = x + alpha_t * (dt + s * noise_scaler(er_lambda_t)) * denoised_d + + if stage_used >= 3: + # Stage 3 + s_u = torch.sum((lambda_pos - er_lambda_s) / scaled_pos) * lambda_step_size + denoised_u = (denoised_d - old_denoised_d) / ((er_lambda_s - er_lambdas[i - 2]) / 2) + x = x + alpha_t * ((dt ** 2) / 2 + s_u * noise_scaler(er_lambda_t)) * denoised_u + old_denoised_d = denoised_d + + if s_noise > 0: + x = x + alpha_t * noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * (er_lambda_t ** 2 - er_lambda_s ** 2 * r ** 2).sqrt().nan_to_num(nan=0.0) + old_denoised = denoised + return x + + +@torch.no_grad() +def sample_seeds_2(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r=0.5): + """SEEDS-2 - Stochastic Explicit Exponential Derivative-free Solvers (VP Data Prediction) stage 2. + arXiv: https://arxiv.org/abs/2305.14267 (NeurIPS 2023) + """ + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + inject_noise = eta > 0 and s_noise > 0 + + model_sampling = model.inner_model.model_patcher.get_model_object('model_sampling') + sigma_fn = partial(half_log_snr_to_sigma, model_sampling=model_sampling) + lambda_fn = partial(sigma_to_half_log_snr, model_sampling=model_sampling) + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + + fac = 1 / (2 * r) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + if sigmas[i + 1] == 0: + x = denoised + continue + + lambda_s, lambda_t = lambda_fn(sigmas[i]), lambda_fn(sigmas[i + 1]) + h = lambda_t - lambda_s + h_eta = h * (eta + 1) + lambda_s_1 = torch.lerp(lambda_s, lambda_t, r) + sigma_s_1 = sigma_fn(lambda_s_1) + + alpha_s_1 = sigma_s_1 * lambda_s_1.exp() + alpha_t = sigmas[i + 1] * lambda_t.exp() + + # Step 1 + x_2 = sigma_s_1 / sigmas[i] * (-r * h * eta).exp() * x - alpha_s_1 * ei_h_phi_1(-r * h_eta) * denoised + if inject_noise: + sde_noise = (-2 * r * h * eta).expm1().neg().sqrt() * noise_sampler(sigmas[i], sigma_s_1) + x_2 = x_2 + sde_noise * sigma_s_1 * s_noise + denoised_2 = model(x_2, sigma_s_1 * s_in, **extra_args) + + # Step 2 + denoised_d = torch.lerp(denoised, denoised_2, fac) + x = sigmas[i + 1] / sigmas[i] * (-h * eta).exp() * x - alpha_t * ei_h_phi_1(-h_eta) * denoised_d + if inject_noise: + segment_factor = (r - 1) * h * eta + sde_noise = sde_noise * segment_factor.exp() + sde_noise = sde_noise + segment_factor.mul(2).expm1().neg().sqrt() * noise_sampler(sigma_s_1, sigmas[i + 1]) + x = x + sde_noise * sigmas[i + 1] * s_noise + return x + + +@torch.no_grad() +def sample_seeds_3(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r_1=1./3, r_2=2./3): + """SEEDS-3 - Stochastic Explicit Exponential Derivative-free Solvers (VP Data Prediction) stage 3. + arXiv: https://arxiv.org/abs/2305.14267 (NeurIPS 2023) + """ + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + inject_noise = eta > 0 and s_noise > 0 + + model_sampling = model.inner_model.model_patcher.get_model_object('model_sampling') + sigma_fn = partial(half_log_snr_to_sigma, model_sampling=model_sampling) + lambda_fn = partial(sigma_to_half_log_snr, model_sampling=model_sampling) + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + if sigmas[i + 1] == 0: + x = denoised + continue + + lambda_s, lambda_t = lambda_fn(sigmas[i]), lambda_fn(sigmas[i + 1]) + h = lambda_t - lambda_s + h_eta = h * (eta + 1) + lambda_s_1 = torch.lerp(lambda_s, lambda_t, r_1) + lambda_s_2 = torch.lerp(lambda_s, lambda_t, r_2) + sigma_s_1, sigma_s_2 = sigma_fn(lambda_s_1), sigma_fn(lambda_s_2) + + alpha_s_1 = sigma_s_1 * lambda_s_1.exp() + alpha_s_2 = sigma_s_2 * lambda_s_2.exp() + alpha_t = sigmas[i + 1] * lambda_t.exp() + + # Step 1 + x_2 = sigma_s_1 / sigmas[i] * (-r_1 * h * eta).exp() * x - alpha_s_1 * ei_h_phi_1(-r_1 * h_eta) * denoised + if inject_noise: + sde_noise = (-2 * r_1 * h * eta).expm1().neg().sqrt() * noise_sampler(sigmas[i], sigma_s_1) + x_2 = x_2 + sde_noise * sigma_s_1 * s_noise + denoised_2 = model(x_2, sigma_s_1 * s_in, **extra_args) + + # Step 2 + a3_2 = r_2 / r_1 * ei_h_phi_2(-r_2 * h_eta) + a3_1 = ei_h_phi_1(-r_2 * h_eta) - a3_2 + x_3 = sigma_s_2 / sigmas[i] * (-r_2 * h * eta).exp() * x - alpha_s_2 * (a3_1 * denoised + a3_2 * denoised_2) + if inject_noise: + segment_factor = (r_1 - r_2) * h * eta + sde_noise = sde_noise * segment_factor.exp() + sde_noise = sde_noise + segment_factor.mul(2).expm1().neg().sqrt() * noise_sampler(sigma_s_1, sigma_s_2) + x_3 = x_3 + sde_noise * sigma_s_2 * s_noise + denoised_3 = model(x_3, sigma_s_2 * s_in, **extra_args) + + # Step 3 + b3 = ei_h_phi_2(-h_eta) / r_2 + b1 = ei_h_phi_1(-h_eta) - b3 + x = sigmas[i + 1] / sigmas[i] * (-h * eta).exp() * x - alpha_t * (b1 * denoised + b3 * denoised_3) + if inject_noise: + segment_factor = (r_2 - 1) * h * eta + sde_noise = sde_noise * segment_factor.exp() + sde_noise = sde_noise + segment_factor.mul(2).expm1().neg().sqrt() * noise_sampler(sigma_s_2, sigmas[i + 1]) + x = x + sde_noise * sigmas[i + 1] * s_noise + return x + + +@torch.no_grad() +def sample_sa_solver(model, x, sigmas, extra_args=None, callback=None, disable=False, tau_func=None, s_noise=1.0, noise_sampler=None, predictor_order=3, corrector_order=4, use_pece=False, simple_order_2=False): + """Stochastic Adams Solver with predictor-corrector method (NeurIPS 2023).""" + if len(sigmas) <= 1: + return x + extra_args = {} if extra_args is None else extra_args + seed = extra_args.get("seed", None) + noise_sampler = default_noise_sampler(x, seed=seed) if noise_sampler is None else noise_sampler + s_in = x.new_ones([x.shape[0]]) + + model_sampling = model.inner_model.model_patcher.get_model_object("model_sampling") + sigmas = offset_first_sigma_for_snr(sigmas, model_sampling) + lambdas = sigma_to_half_log_snr(sigmas, model_sampling=model_sampling) + + if tau_func is None: + # Use default interval for stochastic sampling + start_sigma = model_sampling.percent_to_sigma(0.2) + end_sigma = model_sampling.percent_to_sigma(0.8) + tau_func = sa_solver.get_tau_interval_func(start_sigma, end_sigma, eta=1.0) + + max_used_order = max(predictor_order, corrector_order) + x_pred = x # x: current state, x_pred: predicted next state + + h = 0.0 + tau_t = 0.0 + noise = 0.0 + pred_list = [] + + # Lower order near the end to improve stability + lower_order_to_end = sigmas[-1].item() == 0 + + for i in trange(len(sigmas) - 1, disable=disable): + # Evaluation + denoised = model(x_pred, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({"x": x_pred, "i": i, "sigma": sigmas[i], "sigma_hat": sigmas[i], "denoised": denoised}) + pred_list.append(denoised) + pred_list = pred_list[-max_used_order:] + + predictor_order_used = min(predictor_order, len(pred_list)) + if i == 0 or (sigmas[i + 1] == 0 and not use_pece): + corrector_order_used = 0 + else: + corrector_order_used = min(corrector_order, len(pred_list)) + + if lower_order_to_end: + predictor_order_used = min(predictor_order_used, len(sigmas) - 2 - i) + corrector_order_used = min(corrector_order_used, len(sigmas) - 1 - i) + + # Corrector + if corrector_order_used == 0: + # Update by the predicted state + x = x_pred + else: + curr_lambdas = lambdas[i - corrector_order_used + 1:i + 1] + b_coeffs = sa_solver.compute_stochastic_adams_b_coeffs( + sigmas[i], + curr_lambdas, + lambdas[i - 1], + lambdas[i], + tau_t, + simple_order_2, + is_corrector_step=True, + ) + pred_mat = torch.stack(pred_list[-corrector_order_used:], dim=1) # (B, K, ...) + corr_res = torch.tensordot(pred_mat, b_coeffs, dims=([1], [0])) # (B, ...) + x = sigmas[i] / sigmas[i - 1] * (-(tau_t ** 2) * h).exp() * x + corr_res + + if tau_t > 0 and s_noise > 0: + # The noise from the previous predictor step + x = x + noise + + if use_pece: + # Evaluate the corrected state + denoised = model(x, sigmas[i] * s_in, **extra_args) + pred_list[-1] = denoised + + # Predictor + if sigmas[i + 1] == 0: + # Denoising step + x = denoised + else: + tau_t = tau_func(sigmas[i + 1]) + curr_lambdas = lambdas[i - predictor_order_used + 1:i + 1] + b_coeffs = sa_solver.compute_stochastic_adams_b_coeffs( + sigmas[i + 1], + curr_lambdas, + lambdas[i], + lambdas[i + 1], + tau_t, + simple_order_2, + is_corrector_step=False, + ) + pred_mat = torch.stack(pred_list[-predictor_order_used:], dim=1) # (B, K, ...) + pred_res = torch.tensordot(pred_mat, b_coeffs, dims=([1], [0])) # (B, ...) + h = lambdas[i + 1] - lambdas[i] + x_pred = sigmas[i + 1] / sigmas[i] * (-(tau_t ** 2) * h).exp() * x + pred_res + + if tau_t > 0 and s_noise > 0: + noise = noise_sampler(sigmas[i], sigmas[i + 1]) * sigmas[i + 1] * (-2 * tau_t ** 2 * h).expm1().neg().sqrt() * s_noise + x_pred = x_pred + noise + return x + + +@torch.no_grad() +def sample_sa_solver_pece(model, x, sigmas, extra_args=None, callback=None, disable=False, tau_func=None, s_noise=1.0, noise_sampler=None, predictor_order=3, corrector_order=4, simple_order_2=False): + """Stochastic Adams Solver with PECE (Predict–Evaluate–Correct–Evaluate) mode (NeurIPS 2023).""" + return sample_sa_solver(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, tau_func=tau_func, s_noise=s_noise, noise_sampler=noise_sampler, predictor_order=predictor_order, corrector_order=corrector_order, use_pece=True, simple_order_2=simple_order_2) diff --git a/comfy/k_diffusion/utils.py b/comfy/k_diffusion/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..a644df2f3cf82b32ac6e9bf2cb7bfc70c95e05f9 --- /dev/null +++ b/comfy/k_diffusion/utils.py @@ -0,0 +1,313 @@ +from contextlib import contextmanager +import hashlib +import math +from pathlib import Path +import shutil +import urllib +import warnings + +from PIL import Image +import torch +from torch import nn, optim +from torch.utils import data + + +def hf_datasets_augs_helper(examples, transform, image_key, mode='RGB'): + """Apply passed in transforms for HuggingFace Datasets.""" + images = [transform(image.convert(mode)) for image in examples[image_key]] + return {image_key: images} + + +def append_dims(x, target_dims): + """Appends dimensions to the end of a tensor until it has target_dims dimensions.""" + dims_to_append = target_dims - x.ndim + if dims_to_append < 0: + raise ValueError(f'input has {x.ndim} dims but target_dims is {target_dims}, which is less') + expanded = x[(...,) + (None,) * dims_to_append] + # MPS will get inf values if it tries to index into the new axes, but detaching fixes this. + # https://github.com/pytorch/pytorch/issues/84364 + return expanded.detach().clone() if expanded.device.type == 'mps' else expanded + + +def n_params(module): + """Returns the number of trainable parameters in a module.""" + return sum(p.numel() for p in module.parameters()) + + +def download_file(path, url, digest=None): + """Downloads a file if it does not exist, optionally checking its SHA-256 hash.""" + path = Path(path) + path.parent.mkdir(parents=True, exist_ok=True) + if not path.exists(): + with urllib.request.urlopen(url) as response, open(path, 'wb') as f: + shutil.copyfileobj(response, f) + if digest is not None: + file_digest = hashlib.sha256(open(path, 'rb').read()).hexdigest() + if digest != file_digest: + raise OSError(f'hash of {path} (url: {url}) failed to validate') + return path + + +@contextmanager +def train_mode(model, mode=True): + """A context manager that places a model into training mode and restores + the previous mode on exit.""" + modes = [module.training for module in model.modules()] + try: + yield model.train(mode) + finally: + for i, module in enumerate(model.modules()): + module.training = modes[i] + + +def eval_mode(model): + """A context manager that places a model into evaluation mode and restores + the previous mode on exit.""" + return train_mode(model, False) + + +@torch.no_grad() +def ema_update(model, averaged_model, decay): + """Incorporates updated model parameters into an exponential moving averaged + version of a model. It should be called after each optimizer step.""" + model_params = dict(model.named_parameters()) + averaged_params = dict(averaged_model.named_parameters()) + assert model_params.keys() == averaged_params.keys() + + for name, param in model_params.items(): + averaged_params[name].mul_(decay).add_(param, alpha=1 - decay) + + model_buffers = dict(model.named_buffers()) + averaged_buffers = dict(averaged_model.named_buffers()) + assert model_buffers.keys() == averaged_buffers.keys() + + for name, buf in model_buffers.items(): + averaged_buffers[name].copy_(buf) + + +class EMAWarmup: + """Implements an EMA warmup using an inverse decay schedule. + If inv_gamma=1 and power=1, implements a simple average. inv_gamma=1, power=2/3 are + good values for models you plan to train for a million or more steps (reaches decay + factor 0.999 at 31.6K steps, 0.9999 at 1M steps), inv_gamma=1, power=3/4 for models + you plan to train for less (reaches decay factor 0.999 at 10K steps, 0.9999 at + 215.4k steps). + Args: + inv_gamma (float): Inverse multiplicative factor of EMA warmup. Default: 1. + power (float): Exponential factor of EMA warmup. Default: 1. + min_value (float): The minimum EMA decay rate. Default: 0. + max_value (float): The maximum EMA decay rate. Default: 1. + start_at (int): The epoch to start averaging at. Default: 0. + last_epoch (int): The index of last epoch. Default: 0. + """ + + def __init__(self, inv_gamma=1., power=1., min_value=0., max_value=1., start_at=0, + last_epoch=0): + self.inv_gamma = inv_gamma + self.power = power + self.min_value = min_value + self.max_value = max_value + self.start_at = start_at + self.last_epoch = last_epoch + + def state_dict(self): + """Returns the state of the class as a :class:`dict`.""" + return dict(self.__dict__.items()) + + def load_state_dict(self, state_dict): + """Loads the class's state. + Args: + state_dict (dict): scaler state. Should be an object returned + from a call to :meth:`state_dict`. + """ + self.__dict__.update(state_dict) + + def get_value(self): + """Gets the current EMA decay rate.""" + epoch = max(0, self.last_epoch - self.start_at) + value = 1 - (1 + epoch / self.inv_gamma) ** -self.power + return 0. if epoch < 0 else min(self.max_value, max(self.min_value, value)) + + def step(self): + """Updates the step count.""" + self.last_epoch += 1 + + +class InverseLR(optim.lr_scheduler._LRScheduler): + """Implements an inverse decay learning rate schedule with an optional exponential + warmup. When last_epoch=-1, sets initial lr as lr. + inv_gamma is the number of steps/epochs required for the learning rate to decay to + (1 / 2)**power of its original value. + Args: + optimizer (Optimizer): Wrapped optimizer. + inv_gamma (float): Inverse multiplicative factor of learning rate decay. Default: 1. + power (float): Exponential factor of learning rate decay. Default: 1. + warmup (float): Exponential warmup factor (0 <= warmup < 1, 0 to disable) + Default: 0. + min_lr (float): The minimum learning rate. Default: 0. + last_epoch (int): The index of last epoch. Default: -1. + verbose (bool): If ``True``, prints a message to stdout for + each update. Default: ``False``. + """ + + def __init__(self, optimizer, inv_gamma=1., power=1., warmup=0., min_lr=0., + last_epoch=-1, verbose=False): + self.inv_gamma = inv_gamma + self.power = power + if not 0. <= warmup < 1: + raise ValueError('Invalid value for warmup') + self.warmup = warmup + self.min_lr = min_lr + super().__init__(optimizer, last_epoch, verbose) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn("To get the last learning rate computed by the scheduler, " + "please use `get_last_lr()`.") + + return self._get_closed_form_lr() + + def _get_closed_form_lr(self): + warmup = 1 - self.warmup ** (self.last_epoch + 1) + lr_mult = (1 + self.last_epoch / self.inv_gamma) ** -self.power + return [warmup * max(self.min_lr, base_lr * lr_mult) + for base_lr in self.base_lrs] + + +class ExponentialLR(optim.lr_scheduler._LRScheduler): + """Implements an exponential learning rate schedule with an optional exponential + warmup. When last_epoch=-1, sets initial lr as lr. Decays the learning rate + continuously by decay (default 0.5) every num_steps steps. + Args: + optimizer (Optimizer): Wrapped optimizer. + num_steps (float): The number of steps to decay the learning rate by decay in. + decay (float): The factor by which to decay the learning rate every num_steps + steps. Default: 0.5. + warmup (float): Exponential warmup factor (0 <= warmup < 1, 0 to disable) + Default: 0. + min_lr (float): The minimum learning rate. Default: 0. + last_epoch (int): The index of last epoch. Default: -1. + verbose (bool): If ``True``, prints a message to stdout for + each update. Default: ``False``. + """ + + def __init__(self, optimizer, num_steps, decay=0.5, warmup=0., min_lr=0., + last_epoch=-1, verbose=False): + self.num_steps = num_steps + self.decay = decay + if not 0. <= warmup < 1: + raise ValueError('Invalid value for warmup') + self.warmup = warmup + self.min_lr = min_lr + super().__init__(optimizer, last_epoch, verbose) + + def get_lr(self): + if not self._get_lr_called_within_step: + warnings.warn("To get the last learning rate computed by the scheduler, " + "please use `get_last_lr()`.") + + return self._get_closed_form_lr() + + def _get_closed_form_lr(self): + warmup = 1 - self.warmup ** (self.last_epoch + 1) + lr_mult = (self.decay ** (1 / self.num_steps)) ** self.last_epoch + return [warmup * max(self.min_lr, base_lr * lr_mult) + for base_lr in self.base_lrs] + + +def rand_log_normal(shape, loc=0., scale=1., device='cpu', dtype=torch.float32): + """Draws samples from an lognormal distribution.""" + return (torch.randn(shape, device=device, dtype=dtype) * scale + loc).exp() + + +def rand_log_logistic(shape, loc=0., scale=1., min_value=0., max_value=float('inf'), device='cpu', dtype=torch.float32): + """Draws samples from an optionally truncated log-logistic distribution.""" + min_value = torch.as_tensor(min_value, device=device, dtype=torch.float64) + max_value = torch.as_tensor(max_value, device=device, dtype=torch.float64) + min_cdf = min_value.log().sub(loc).div(scale).sigmoid() + max_cdf = max_value.log().sub(loc).div(scale).sigmoid() + u = torch.rand(shape, device=device, dtype=torch.float64) * (max_cdf - min_cdf) + min_cdf + return u.logit().mul(scale).add(loc).exp().to(dtype) + + +def rand_log_uniform(shape, min_value, max_value, device='cpu', dtype=torch.float32): + """Draws samples from an log-uniform distribution.""" + min_value = math.log(min_value) + max_value = math.log(max_value) + return (torch.rand(shape, device=device, dtype=dtype) * (max_value - min_value) + min_value).exp() + + +def rand_v_diffusion(shape, sigma_data=1., min_value=0., max_value=float('inf'), device='cpu', dtype=torch.float32): + """Draws samples from a truncated v-diffusion training timestep distribution.""" + min_cdf = math.atan(min_value / sigma_data) * 2 / math.pi + max_cdf = math.atan(max_value / sigma_data) * 2 / math.pi + u = torch.rand(shape, device=device, dtype=dtype) * (max_cdf - min_cdf) + min_cdf + return torch.tan(u * math.pi / 2) * sigma_data + + +def rand_split_log_normal(shape, loc, scale_1, scale_2, device='cpu', dtype=torch.float32): + """Draws samples from a split lognormal distribution.""" + n = torch.randn(shape, device=device, dtype=dtype).abs() + u = torch.rand(shape, device=device, dtype=dtype) + n_left = n * -scale_1 + loc + n_right = n * scale_2 + loc + ratio = scale_1 / (scale_1 + scale_2) + return torch.where(u < ratio, n_left, n_right).exp() + + +class FolderOfImages(data.Dataset): + """Recursively finds all images in a directory. It does not support + classes/targets.""" + + IMG_EXTENSIONS = {'.jpg', '.jpeg', '.png', '.ppm', '.bmp', '.pgm', '.tif', '.tiff', '.webp'} + + def __init__(self, root, transform=None): + super().__init__() + self.root = Path(root) + self.transform = nn.Identity() if transform is None else transform + self.paths = sorted(path for path in self.root.rglob('*') if path.suffix.lower() in self.IMG_EXTENSIONS) + + def __repr__(self): + return f'FolderOfImages(root="{self.root}", len: {len(self)})' + + def __len__(self): + return len(self.paths) + + def __getitem__(self, key): + path = self.paths[key] + with open(path, 'rb') as f: + image = Image.open(f).convert('RGB') + image = self.transform(image) + return image, + + +class CSVLogger: + def __init__(self, filename, columns): + self.filename = Path(filename) + self.columns = columns + if self.filename.exists(): + self.file = open(self.filename, 'a') + else: + self.file = open(self.filename, 'w') + self.write(*self.columns) + + def write(self, *args): + print(*args, sep=',', file=self.file, flush=True) + + +@contextmanager +def tf32_mode(cudnn=None, matmul=None): + """A context manager that sets whether TF32 is allowed on cuDNN or matmul.""" + cudnn_old = torch.backends.cudnn.allow_tf32 + matmul_old = torch.backends.cuda.matmul.allow_tf32 + try: + if cudnn is not None: + torch.backends.cudnn.allow_tf32 = cudnn + if matmul is not None: + torch.backends.cuda.matmul.allow_tf32 = matmul + yield + finally: + if cudnn is not None: + torch.backends.cudnn.allow_tf32 = cudnn_old + if matmul is not None: + torch.backends.cuda.matmul.allow_tf32 = matmul_old diff --git a/comfy/latent_formats.py b/comfy/latent_formats.py new file mode 100644 index 0000000000000000000000000000000000000000..77e642a9447662614a90521b638df4fea2941bd2 --- /dev/null +++ b/comfy/latent_formats.py @@ -0,0 +1,648 @@ +import torch + +class LatentFormat: + scale_factor = 1.0 + latent_channels = 4 + latent_dimensions = 2 + latent_rgb_factors = None + latent_rgb_factors_bias = None + taesd_decoder_name = None + + def process_in(self, latent): + return latent * self.scale_factor + + def process_out(self, latent): + return latent / self.scale_factor + +class SD15(LatentFormat): + def __init__(self, scale_factor=0.18215): + self.scale_factor = scale_factor + self.latent_rgb_factors = [ + # R G B + [ 0.3512, 0.2297, 0.3227], + [ 0.3250, 0.4974, 0.2350], + [-0.2829, 0.1762, 0.2721], + [-0.2120, -0.2616, -0.7177] + ] + self.taesd_decoder_name = "taesd_decoder" + +class SDXL(LatentFormat): + scale_factor = 0.13025 + + def __init__(self): + self.latent_rgb_factors = [ + # R G B + [ 0.3651, 0.4232, 0.4341], + [-0.2533, -0.0042, 0.1068], + [ 0.1076, 0.1111, -0.0362], + [-0.3165, -0.2492, -0.2188] + ] + self.latent_rgb_factors_bias = [ 0.1084, -0.0175, -0.0011] + + self.taesd_decoder_name = "taesdxl_decoder" + +class SDXL_Playground_2_5(LatentFormat): + def __init__(self): + self.scale_factor = 0.5 + self.latents_mean = torch.tensor([-1.6574, 1.886, -1.383, 2.5155]).view(1, 4, 1, 1) + self.latents_std = torch.tensor([8.4927, 5.9022, 6.5498, 5.2299]).view(1, 4, 1, 1) + + self.latent_rgb_factors = [ + # R G B + [ 0.3920, 0.4054, 0.4549], + [-0.2634, -0.0196, 0.0653], + [ 0.0568, 0.1687, -0.0755], + [-0.3112, -0.2359, -0.2076] + ] + self.taesd_decoder_name = "taesdxl_decoder" + + def process_in(self, latent): + latents_mean = self.latents_mean.to(latent.device, latent.dtype) + latents_std = self.latents_std.to(latent.device, latent.dtype) + return (latent - latents_mean) * self.scale_factor / latents_std + + def process_out(self, latent): + latents_mean = self.latents_mean.to(latent.device, latent.dtype) + latents_std = self.latents_std.to(latent.device, latent.dtype) + return latent * latents_std / self.scale_factor + latents_mean + + +class SD_X4(LatentFormat): + def __init__(self): + self.scale_factor = 0.08333 + self.latent_rgb_factors = [ + [-0.2340, -0.3863, -0.3257], + [ 0.0994, 0.0885, -0.0908], + [-0.2833, -0.2349, -0.3741], + [ 0.2523, -0.0055, -0.1651] + ] + +class SC_Prior(LatentFormat): + latent_channels = 16 + def __init__(self): + self.scale_factor = 1.0 + self.latent_rgb_factors = [ + [-0.0326, -0.0204, -0.0127], + [-0.1592, -0.0427, 0.0216], + [ 0.0873, 0.0638, -0.0020], + [-0.0602, 0.0442, 0.1304], + [ 0.0800, -0.0313, -0.1796], + [-0.0810, -0.0638, -0.1581], + [ 0.1791, 0.1180, 0.0967], + [ 0.0740, 0.1416, 0.0432], + [-0.1745, -0.1888, -0.1373], + [ 0.2412, 0.1577, 0.0928], + [ 0.1908, 0.0998, 0.0682], + [ 0.0209, 0.0365, -0.0092], + [ 0.0448, -0.0650, -0.1728], + [-0.1658, -0.1045, -0.1308], + [ 0.0542, 0.1545, 0.1325], + [-0.0352, -0.1672, -0.2541] + ] + +class SC_B(LatentFormat): + def __init__(self): + self.scale_factor = 1.0 / 0.43 + self.latent_rgb_factors = [ + [ 0.1121, 0.2006, 0.1023], + [-0.2093, -0.0222, -0.0195], + [-0.3087, -0.1535, 0.0366], + [ 0.0290, -0.1574, -0.4078] + ] + +class SD3(LatentFormat): + latent_channels = 16 + def __init__(self): + self.scale_factor = 1.5305 + self.shift_factor = 0.0609 + self.latent_rgb_factors = [ + [-0.0922, -0.0175, 0.0749], + [ 0.0311, 0.0633, 0.0954], + [ 0.1994, 0.0927, 0.0458], + [ 0.0856, 0.0339, 0.0902], + [ 0.0587, 0.0272, -0.0496], + [-0.0006, 0.1104, 0.0309], + [ 0.0978, 0.0306, 0.0427], + [-0.0042, 0.1038, 0.1358], + [-0.0194, 0.0020, 0.0669], + [-0.0488, 0.0130, -0.0268], + [ 0.0922, 0.0988, 0.0951], + [-0.0278, 0.0524, -0.0542], + [ 0.0332, 0.0456, 0.0895], + [-0.0069, -0.0030, -0.0810], + [-0.0596, -0.0465, -0.0293], + [-0.1448, -0.1463, -0.1189] + ] + self.latent_rgb_factors_bias = [0.2394, 0.2135, 0.1925] + self.taesd_decoder_name = "taesd3_decoder" + + def process_in(self, latent): + return (latent - self.shift_factor) * self.scale_factor + + def process_out(self, latent): + return (latent / self.scale_factor) + self.shift_factor + +class StableAudio1(LatentFormat): + latent_channels = 64 + latent_dimensions = 1 + +class Flux(SD3): + latent_channels = 16 + def __init__(self): + self.scale_factor = 0.3611 + self.shift_factor = 0.1159 + self.latent_rgb_factors =[ + [-0.0346, 0.0244, 0.0681], + [ 0.0034, 0.0210, 0.0687], + [ 0.0275, -0.0668, -0.0433], + [-0.0174, 0.0160, 0.0617], + [ 0.0859, 0.0721, 0.0329], + [ 0.0004, 0.0383, 0.0115], + [ 0.0405, 0.0861, 0.0915], + [-0.0236, -0.0185, -0.0259], + [-0.0245, 0.0250, 0.1180], + [ 0.1008, 0.0755, -0.0421], + [-0.0515, 0.0201, 0.0011], + [ 0.0428, -0.0012, -0.0036], + [ 0.0817, 0.0765, 0.0749], + [-0.1264, -0.0522, -0.1103], + [-0.0280, -0.0881, -0.0499], + [-0.1262, -0.0982, -0.0778] + ] + self.latent_rgb_factors_bias = [-0.0329, -0.0718, -0.0851] + self.taesd_decoder_name = "taef1_decoder" + + def process_in(self, latent): + return (latent - self.shift_factor) * self.scale_factor + + def process_out(self, latent): + return (latent / self.scale_factor) + self.shift_factor + +class Mochi(LatentFormat): + latent_channels = 12 + latent_dimensions = 3 + + def __init__(self): + self.scale_factor = 1.0 + self.latents_mean = torch.tensor([-0.06730895953510081, -0.038011381506090416, -0.07477820912866141, + -0.05565264470995561, 0.012767231469026969, -0.04703542746246419, + 0.043896967884726704, -0.09346305707025976, -0.09918314763016893, + -0.008729793427399178, -0.011931556316503654, -0.0321993391887285]).view(1, self.latent_channels, 1, 1, 1) + self.latents_std = torch.tensor([0.9263795028493863, 0.9248894543193766, 0.9393059390890617, + 0.959253732819592, 0.8244560132752793, 0.917259975397747, + 0.9294154431013696, 1.3720942357788521, 0.881393668867029, + 0.9168315692124348, 0.9185249279345552, 0.9274757570805041]).view(1, self.latent_channels, 1, 1, 1) + + self.latent_rgb_factors =[ + [-0.0069, -0.0045, 0.0018], + [ 0.0154, -0.0692, -0.0274], + [ 0.0333, 0.0019, 0.0206], + [-0.1390, 0.0628, 0.1678], + [-0.0725, 0.0134, -0.1898], + [ 0.0074, -0.0270, -0.0209], + [-0.0176, -0.0277, -0.0221], + [ 0.5294, 0.5204, 0.3852], + [-0.0326, -0.0446, -0.0143], + [-0.0659, 0.0153, -0.0153], + [ 0.0185, -0.0217, 0.0014], + [-0.0396, -0.0495, -0.0281] + ] + self.latent_rgb_factors_bias = [-0.0940, -0.1418, -0.1453] + self.taesd_decoder_name = None #TODO + + def process_in(self, latent): + latents_mean = self.latents_mean.to(latent.device, latent.dtype) + latents_std = self.latents_std.to(latent.device, latent.dtype) + return (latent - latents_mean) * self.scale_factor / latents_std + + def process_out(self, latent): + latents_mean = self.latents_mean.to(latent.device, latent.dtype) + latents_std = self.latents_std.to(latent.device, latent.dtype) + return latent * latents_std / self.scale_factor + latents_mean + +class LTXV(LatentFormat): + latent_channels = 128 + latent_dimensions = 3 + + def __init__(self): + self.latent_rgb_factors = [ + [ 1.1202e-02, -6.3815e-04, -1.0021e-02], + [ 8.6031e-02, 6.5813e-02, 9.5409e-04], + [-1.2576e-02, -7.5734e-03, -4.0528e-03], + [ 9.4063e-03, -2.1688e-03, 2.6093e-03], + [ 3.7636e-03, 1.2765e-02, 9.1548e-03], + [ 2.1024e-02, -5.2973e-03, 3.4373e-03], + [-8.8896e-03, -1.9703e-02, -1.8761e-02], + [-1.3160e-02, -1.0523e-02, 1.9709e-03], + [-1.5152e-03, -6.9891e-03, -7.5810e-03], + [-1.7247e-03, 4.6560e-04, -3.3839e-03], + [ 1.3617e-02, 4.7077e-03, -2.0045e-03], + [ 1.0256e-02, 7.7318e-03, 1.3948e-02], + [-1.6108e-02, -6.2151e-03, 1.1561e-03], + [ 7.3407e-03, 1.5628e-02, 4.4865e-04], + [ 9.5357e-04, -2.9518e-03, -1.4760e-02], + [ 1.9143e-02, 1.0868e-02, 1.2264e-02], + [ 4.4575e-03, 3.6682e-05, -6.8508e-03], + [-4.5681e-04, 3.2570e-03, 7.7929e-03], + [ 3.3902e-02, 3.3405e-02, 3.7454e-02], + [-2.3001e-02, -2.4877e-03, -3.1033e-03], + [ 5.0265e-02, 3.8841e-02, 3.3539e-02], + [-4.1018e-03, -1.1095e-03, 1.5859e-03], + [-1.2689e-01, -1.3107e-01, -2.1005e-01], + [ 2.6276e-02, 1.4189e-02, -3.5963e-03], + [-4.8679e-03, 8.8486e-03, 7.8029e-03], + [-1.6610e-03, -4.8597e-03, -5.2060e-03], + [-2.1010e-03, 2.3610e-03, 9.3796e-03], + [-2.2482e-02, -2.1305e-02, -1.5087e-02], + [-1.5753e-02, -1.0646e-02, -6.5083e-03], + [-4.6975e-03, 5.0288e-03, -6.7390e-03], + [ 1.1951e-02, 2.0712e-02, 1.6191e-02], + [-6.3704e-03, -8.4827e-03, -9.5483e-03], + [ 7.2610e-03, -9.9326e-03, -2.2978e-02], + [-9.1904e-04, 6.2882e-03, 9.5720e-03], + [-3.7178e-02, -3.7123e-02, -5.6713e-02], + [-1.3373e-01, -1.0720e-01, -5.3801e-02], + [-5.3702e-03, 8.1256e-03, 8.8397e-03], + [-1.5247e-01, -2.1437e-01, -2.1843e-01], + [ 3.1441e-02, 7.0335e-03, -9.7541e-03], + [ 2.1528e-03, -8.9817e-03, -2.1023e-02], + [ 3.8461e-03, -5.8957e-03, -1.5014e-02], + [-4.3470e-03, -1.2940e-02, -1.5972e-02], + [-5.4781e-03, -1.0842e-02, -3.0204e-03], + [-6.5347e-03, 3.0806e-03, -1.0163e-02], + [-5.0414e-03, -7.1503e-03, -8.9686e-04], + [-8.5851e-03, -2.4351e-03, 1.0674e-03], + [-9.0016e-03, -9.6493e-03, 1.5692e-03], + [ 5.0914e-03, 1.2099e-02, 1.9968e-02], + [ 1.3758e-02, 1.1669e-02, 8.1958e-03], + [-1.0518e-02, -1.1575e-02, -4.1307e-03], + [-2.8410e-02, -3.1266e-02, -2.2149e-02], + [ 2.9336e-03, 3.6511e-02, 1.8717e-02], + [-1.6703e-02, -1.6696e-02, -4.4529e-03], + [ 4.8818e-02, 4.0063e-02, 8.7410e-03], + [-1.5066e-02, -5.7328e-04, 2.9785e-03], + [-1.7613e-02, -8.1034e-03, 1.3086e-02], + [-9.2633e-03, 1.0803e-02, -6.3489e-03], + [ 3.0851e-03, 4.7750e-04, 1.2347e-02], + [-2.2785e-02, -2.3043e-02, -2.6005e-02], + [-2.4787e-02, -1.5389e-02, -2.2104e-02], + [-2.3572e-02, 1.0544e-03, 1.2361e-02], + [-7.8915e-03, -1.2271e-03, -6.0968e-03], + [-1.1478e-02, -1.2543e-03, 6.2679e-03], + [-5.4229e-02, 2.6644e-02, 6.3394e-03], + [ 4.4216e-03, -7.3338e-03, -1.0464e-02], + [-4.5013e-03, 1.6082e-03, 1.4420e-02], + [ 1.3673e-02, 8.8877e-03, 4.1253e-03], + [-1.0145e-02, 9.0072e-03, 1.5695e-02], + [-5.6234e-03, 1.1847e-03, 8.1261e-03], + [-3.7171e-03, -5.3538e-03, 1.2590e-03], + [ 2.9476e-02, 2.1424e-02, 3.0424e-02], + [-3.4925e-02, -2.4340e-02, -2.5316e-02], + [-3.4127e-02, -2.2406e-02, -1.0589e-02], + [-1.7342e-02, -1.3249e-02, -1.0719e-02], + [-2.1478e-03, -8.6051e-03, -2.9878e-03], + [ 1.2089e-03, -4.2391e-03, -6.8569e-03], + [ 9.0411e-04, -6.6886e-03, -6.7547e-05], + [ 1.6048e-02, -1.0057e-02, -2.8929e-02], + [ 1.2290e-03, 1.0163e-02, 1.8861e-02], + [ 1.7264e-02, 2.7257e-04, 1.3785e-02], + [-1.3482e-02, -3.6427e-03, 6.7481e-04], + [ 4.6782e-03, -5.2423e-03, 2.4467e-03], + [-5.9113e-03, -6.2244e-03, -1.8162e-03], + [ 1.5496e-02, 1.4582e-02, 1.9514e-03], + [ 7.4958e-03, 1.5886e-03, -8.2305e-03], + [ 1.9086e-02, 1.6360e-03, -3.9674e-03], + [-5.7021e-03, -2.7307e-03, -4.1066e-03], + [ 1.7450e-03, 1.4602e-02, 2.5794e-02], + [-8.2788e-04, 2.2902e-03, 4.5161e-03], + [ 1.1632e-02, 8.9193e-03, -7.2813e-03], + [ 7.5721e-03, 2.6784e-03, 1.1393e-02], + [ 5.1939e-03, 3.6903e-03, 1.4049e-02], + [-1.8383e-02, -2.2529e-02, -2.4477e-02], + [ 5.8842e-04, -5.7874e-03, -1.4770e-02], + [-1.6125e-02, -8.6101e-03, -1.4533e-02], + [ 2.0540e-02, 2.0729e-02, 6.4338e-03], + [ 3.3587e-03, -1.1226e-02, -1.6444e-02], + [-1.4742e-03, -1.0489e-02, 1.7097e-03], + [ 2.8130e-02, 2.3546e-02, 3.2791e-02], + [-1.8532e-02, -1.2842e-02, -8.7756e-03], + [-8.0533e-03, -1.0771e-02, -1.7536e-02], + [-3.9009e-03, 1.6150e-02, 3.3359e-02], + [-7.4554e-03, -1.4154e-02, -6.1910e-03], + [ 3.4734e-03, -1.1370e-02, -1.0581e-02], + [ 1.1476e-02, 3.9281e-03, 2.8231e-03], + [ 7.1639e-03, -1.4741e-03, -3.8066e-03], + [ 2.2250e-03, -8.7552e-03, -9.5719e-03], + [ 2.4146e-02, 2.1696e-02, 2.8056e-02], + [-5.4365e-03, -2.4291e-02, -1.7802e-02], + [ 7.4263e-03, 1.0510e-02, 1.2705e-02], + [ 6.2669e-03, 6.2658e-03, 1.9211e-02], + [ 1.6378e-02, 9.4933e-03, 6.6971e-03], + [ 1.7173e-02, 2.3601e-02, 2.3296e-02], + [-1.4568e-02, -9.8279e-03, -1.1556e-02], + [ 1.4431e-02, 1.4430e-02, 6.6362e-03], + [-6.8230e-03, 1.8863e-02, 1.4555e-02], + [ 6.1156e-03, 3.4700e-03, -2.6662e-03], + [-2.6983e-03, -5.9402e-03, -9.2276e-03], + [ 1.0235e-02, 7.4173e-03, -7.6243e-03], + [-1.3255e-02, 1.9322e-02, -9.2153e-04], + [ 2.4222e-03, -4.8039e-03, -1.5759e-02], + [ 2.6244e-02, 2.5951e-02, 2.0249e-02], + [ 1.5711e-02, 1.8498e-02, 2.7407e-03], + [-2.1714e-03, 4.7214e-03, -2.2443e-02], + [-7.4747e-03, 7.4166e-03, 1.4430e-02], + [-8.3906e-03, -7.9776e-03, 9.7927e-03], + [ 3.8321e-02, 9.6622e-03, -1.9268e-02], + [-1.4605e-02, -6.7032e-03, 3.9675e-03] + ] + + self.latent_rgb_factors_bias = [-0.0571, -0.1657, -0.2512] + +class HunyuanVideo(LatentFormat): + latent_channels = 16 + latent_dimensions = 3 + scale_factor = 0.476986 + latent_rgb_factors = [ + [-0.0395, -0.0331, 0.0445], + [ 0.0696, 0.0795, 0.0518], + [ 0.0135, -0.0945, -0.0282], + [ 0.0108, -0.0250, -0.0765], + [-0.0209, 0.0032, 0.0224], + [-0.0804, -0.0254, -0.0639], + [-0.0991, 0.0271, -0.0669], + [-0.0646, -0.0422, -0.0400], + [-0.0696, -0.0595, -0.0894], + [-0.0799, -0.0208, -0.0375], + [ 0.1166, 0.1627, 0.0962], + [ 0.1165, 0.0432, 0.0407], + [-0.2315, -0.1920, -0.1355], + [-0.0270, 0.0401, -0.0821], + [-0.0616, -0.0997, -0.0727], + [ 0.0249, -0.0469, -0.1703] + ] + + latent_rgb_factors_bias = [ 0.0259, -0.0192, -0.0761] + +class Cosmos1CV8x8x8(LatentFormat): + latent_channels = 16 + latent_dimensions = 3 + + latent_rgb_factors = [ + [ 0.1817, 0.2284, 0.2423], + [-0.0586, -0.0862, -0.3108], + [-0.4703, -0.4255, -0.3995], + [ 0.0803, 0.1963, 0.1001], + [-0.0820, -0.1050, 0.0400], + [ 0.2511, 0.3098, 0.2787], + [-0.1830, -0.2117, -0.0040], + [-0.0621, -0.2187, -0.0939], + [ 0.3619, 0.1082, 0.1455], + [ 0.3164, 0.3922, 0.2575], + [ 0.1152, 0.0231, -0.0462], + [-0.1434, -0.3609, -0.3665], + [ 0.0635, 0.1471, 0.1680], + [-0.3635, -0.1963, -0.3248], + [-0.1865, 0.0365, 0.2346], + [ 0.0447, 0.0994, 0.0881] + ] + + latent_rgb_factors_bias = [-0.1223, -0.1889, -0.1976] + +class Wan21(LatentFormat): + latent_channels = 16 + latent_dimensions = 3 + + latent_rgb_factors = [ + [-0.1299, -0.1692, 0.2932], + [ 0.0671, 0.0406, 0.0442], + [ 0.3568, 0.2548, 0.1747], + [ 0.0372, 0.2344, 0.1420], + [ 0.0313, 0.0189, -0.0328], + [ 0.0296, -0.0956, -0.0665], + [-0.3477, -0.4059, -0.2925], + [ 0.0166, 0.1902, 0.1975], + [-0.0412, 0.0267, -0.1364], + [-0.1293, 0.0740, 0.1636], + [ 0.0680, 0.3019, 0.1128], + [ 0.0032, 0.0581, 0.0639], + [-0.1251, 0.0927, 0.1699], + [ 0.0060, -0.0633, 0.0005], + [ 0.3477, 0.2275, 0.2950], + [ 0.1984, 0.0913, 0.1861] + ] + + latent_rgb_factors_bias = [-0.1835, -0.0868, -0.3360] + + def __init__(self): + self.scale_factor = 1.0 + self.latents_mean = torch.tensor([ + -0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, + 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921 + ]).view(1, self.latent_channels, 1, 1, 1) + self.latents_std = torch.tensor([ + 2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, + 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.9160 + ]).view(1, self.latent_channels, 1, 1, 1) + + + self.taesd_decoder_name = None #TODO + + def process_in(self, latent): + latents_mean = self.latents_mean.to(latent.device, latent.dtype) + latents_std = self.latents_std.to(latent.device, latent.dtype) + return (latent - latents_mean) * self.scale_factor / latents_std + + def process_out(self, latent): + latents_mean = self.latents_mean.to(latent.device, latent.dtype) + latents_std = self.latents_std.to(latent.device, latent.dtype) + return latent * latents_std / self.scale_factor + latents_mean + +class Wan22(Wan21): + latent_channels = 48 + latent_dimensions = 3 + + latent_rgb_factors = [ + [ 0.0119, 0.0103, 0.0046], + [-0.1062, -0.0504, 0.0165], + [ 0.0140, 0.0409, 0.0491], + [-0.0813, -0.0677, 0.0607], + [ 0.0656, 0.0851, 0.0808], + [ 0.0264, 0.0463, 0.0912], + [ 0.0295, 0.0326, 0.0590], + [-0.0244, -0.0270, 0.0025], + [ 0.0443, -0.0102, 0.0288], + [-0.0465, -0.0090, -0.0205], + [ 0.0359, 0.0236, 0.0082], + [-0.0776, 0.0854, 0.1048], + [ 0.0564, 0.0264, 0.0561], + [ 0.0006, 0.0594, 0.0418], + [-0.0319, -0.0542, -0.0637], + [-0.0268, 0.0024, 0.0260], + [ 0.0539, 0.0265, 0.0358], + [-0.0359, -0.0312, -0.0287], + [-0.0285, -0.1032, -0.1237], + [ 0.1041, 0.0537, 0.0622], + [-0.0086, -0.0374, -0.0051], + [ 0.0390, 0.0670, 0.2863], + [ 0.0069, 0.0144, 0.0082], + [ 0.0006, -0.0167, 0.0079], + [ 0.0313, -0.0574, -0.0232], + [-0.1454, -0.0902, -0.0481], + [ 0.0714, 0.0827, 0.0447], + [-0.0304, -0.0574, -0.0196], + [ 0.0401, 0.0384, 0.0204], + [-0.0758, -0.0297, -0.0014], + [ 0.0568, 0.1307, 0.1372], + [-0.0055, -0.0310, -0.0380], + [ 0.0239, -0.0305, 0.0325], + [-0.0663, -0.0673, -0.0140], + [-0.0416, -0.0047, -0.0023], + [ 0.0166, 0.0112, -0.0093], + [-0.0211, 0.0011, 0.0331], + [ 0.1833, 0.1466, 0.2250], + [-0.0368, 0.0370, 0.0295], + [-0.3441, -0.3543, -0.2008], + [-0.0479, -0.0489, -0.0420], + [-0.0660, -0.0153, 0.0800], + [-0.0101, 0.0068, 0.0156], + [-0.0690, -0.0452, -0.0927], + [-0.0145, 0.0041, 0.0015], + [ 0.0421, 0.0451, 0.0373], + [ 0.0504, -0.0483, -0.0356], + [-0.0837, 0.0168, 0.0055] + ] + + latent_rgb_factors_bias = [0.0317, -0.0878, -0.1388] + + def __init__(self): + self.scale_factor = 1.0 + self.latents_mean = torch.tensor([ + -0.2289, -0.0052, -0.1323, -0.2339, -0.2799, 0.0174, 0.1838, 0.1557, + -0.1382, 0.0542, 0.2813, 0.0891, 0.1570, -0.0098, 0.0375, -0.1825, + -0.2246, -0.1207, -0.0698, 0.5109, 0.2665, -0.2108, -0.2158, 0.2502, + -0.2055, -0.0322, 0.1109, 0.1567, -0.0729, 0.0899, -0.2799, -0.1230, + -0.0313, -0.1649, 0.0117, 0.0723, -0.2839, -0.2083, -0.0520, 0.3748, + 0.0152, 0.1957, 0.1433, -0.2944, 0.3573, -0.0548, -0.1681, -0.0667, + ]).view(1, self.latent_channels, 1, 1, 1) + self.latents_std = torch.tensor([ + 0.4765, 1.0364, 0.4514, 1.1677, 0.5313, 0.4990, 0.4818, 0.5013, + 0.8158, 1.0344, 0.5894, 1.0901, 0.6885, 0.6165, 0.8454, 0.4978, + 0.5759, 0.3523, 0.7135, 0.6804, 0.5833, 1.4146, 0.8986, 0.5659, + 0.7069, 0.5338, 0.4889, 0.4917, 0.4069, 0.4999, 0.6866, 0.4093, + 0.5709, 0.6065, 0.6415, 0.4944, 0.5726, 1.2042, 0.5458, 1.6887, + 0.3971, 1.0600, 0.3943, 0.5537, 0.5444, 0.4089, 0.7468, 0.7744 + ]).view(1, self.latent_channels, 1, 1, 1) + +class HunyuanImage21(LatentFormat): + latent_channels = 64 + latent_dimensions = 2 + scale_factor = 0.75289 + + latent_rgb_factors = [ + [-0.0154, -0.0397, -0.0521], + [ 0.0005, 0.0093, 0.0006], + [-0.0805, -0.0773, -0.0586], + [-0.0494, -0.0487, -0.0498], + [-0.0212, -0.0076, -0.0261], + [-0.0179, -0.0417, -0.0505], + [ 0.0158, 0.0310, 0.0239], + [ 0.0409, 0.0516, 0.0201], + [ 0.0350, 0.0553, 0.0036], + [-0.0447, -0.0327, -0.0479], + [-0.0038, -0.0221, -0.0365], + [-0.0423, -0.0718, -0.0654], + [ 0.0039, 0.0368, 0.0104], + [ 0.0655, 0.0217, 0.0122], + [ 0.0490, 0.1638, 0.2053], + [ 0.0932, 0.0829, 0.0650], + [-0.0186, -0.0209, -0.0135], + [-0.0080, -0.0076, -0.0148], + [-0.0284, -0.0201, 0.0011], + [-0.0642, -0.0294, -0.0777], + [-0.0035, 0.0076, -0.0140], + [ 0.0519, 0.0731, 0.0887], + [-0.0102, 0.0095, 0.0704], + [ 0.0068, 0.0218, -0.0023], + [-0.0726, -0.0486, -0.0519], + [ 0.0260, 0.0295, 0.0263], + [ 0.0250, 0.0333, 0.0341], + [ 0.0168, -0.0120, -0.0174], + [ 0.0226, 0.1037, 0.0114], + [ 0.2577, 0.1906, 0.1604], + [-0.0646, -0.0137, -0.0018], + [-0.0112, 0.0309, 0.0358], + [-0.0347, 0.0146, -0.0481], + [ 0.0234, 0.0179, 0.0201], + [ 0.0157, 0.0313, 0.0225], + [ 0.0423, 0.0675, 0.0524], + [-0.0031, 0.0027, -0.0255], + [ 0.0447, 0.0555, 0.0330], + [-0.0152, 0.0103, 0.0299], + [-0.0755, -0.0489, -0.0635], + [ 0.0853, 0.0788, 0.1017], + [-0.0272, -0.0294, -0.0471], + [ 0.0440, 0.0400, -0.0137], + [ 0.0335, 0.0317, -0.0036], + [-0.0344, -0.0621, -0.0984], + [-0.0127, -0.0630, -0.0620], + [-0.0648, 0.0360, 0.0924], + [-0.0781, -0.0801, -0.0409], + [ 0.0363, 0.0613, 0.0499], + [ 0.0238, 0.0034, 0.0041], + [-0.0135, 0.0258, 0.0310], + [ 0.0614, 0.1086, 0.0589], + [ 0.0428, 0.0350, 0.0205], + [ 0.0153, 0.0173, -0.0018], + [-0.0288, -0.0455, -0.0091], + [ 0.0344, 0.0109, -0.0157], + [-0.0205, -0.0247, -0.0187], + [ 0.0487, 0.0126, 0.0064], + [-0.0220, -0.0013, 0.0074], + [-0.0203, -0.0094, -0.0048], + [-0.0719, 0.0429, -0.0442], + [ 0.1042, 0.0497, 0.0356], + [-0.0659, -0.0578, -0.0280], + [-0.0060, -0.0322, -0.0234]] + + latent_rgb_factors_bias = [0.0007, -0.0256, -0.0206] + +class HunyuanImage21Refiner(LatentFormat): + latent_channels = 64 + latent_dimensions = 3 + scale_factor = 1.03682 + +class Hunyuan3Dv2(LatentFormat): + latent_channels = 64 + latent_dimensions = 1 + scale_factor = 0.9990943042622529 + +class Hunyuan3Dv2_1(LatentFormat): + scale_factor = 1.0039506158752403 + latent_channels = 64 + latent_dimensions = 1 + +class Hunyuan3Dv2mini(LatentFormat): + latent_channels = 64 + latent_dimensions = 1 + scale_factor = 1.0188137142395404 + +class ACEAudio(LatentFormat): + latent_channels = 8 + latent_dimensions = 2 + +class ChromaRadiance(LatentFormat): + latent_channels = 3 + + def __init__(self): + self.latent_rgb_factors = [ + # R G B + [ 1.0, 0.0, 0.0 ], + [ 0.0, 1.0, 0.0 ], + [ 0.0, 0.0, 1.0 ] + ] + + def process_in(self, latent): + return latent + + def process_out(self, latent): + return latent diff --git a/comfy/ldm/ace/attention.py b/comfy/ldm/ace/attention.py new file mode 100644 index 0000000000000000000000000000000000000000..670eb9783385b818a5ea3e435df222a6767c8515 --- /dev/null +++ b/comfy/ldm/ace/attention.py @@ -0,0 +1,768 @@ +# Original from: https://github.com/ace-step/ACE-Step/blob/main/models/attention.py +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Tuple, Union, Optional + +import torch +import torch.nn.functional as F +from torch import nn + +import comfy.model_management +from comfy.ldm.modules.attention import optimized_attention + +class Attention(nn.Module): + def __init__( + self, + query_dim: int, + cross_attention_dim: Optional[int] = None, + heads: int = 8, + kv_heads: Optional[int] = None, + dim_head: int = 64, + dropout: float = 0.0, + bias: bool = False, + qk_norm: Optional[str] = None, + added_kv_proj_dim: Optional[int] = None, + added_proj_bias: Optional[bool] = True, + out_bias: bool = True, + scale_qk: bool = True, + only_cross_attention: bool = False, + eps: float = 1e-5, + rescale_output_factor: float = 1.0, + residual_connection: bool = False, + processor=None, + out_dim: int = None, + out_context_dim: int = None, + context_pre_only=None, + pre_only=False, + elementwise_affine: bool = True, + is_causal: bool = False, + dtype=None, device=None, operations=None + ): + super().__init__() + + self.inner_dim = out_dim if out_dim is not None else dim_head * heads + self.inner_kv_dim = self.inner_dim if kv_heads is None else dim_head * kv_heads + self.query_dim = query_dim + self.use_bias = bias + self.is_cross_attention = cross_attention_dim is not None + self.cross_attention_dim = cross_attention_dim if cross_attention_dim is not None else query_dim + self.rescale_output_factor = rescale_output_factor + self.residual_connection = residual_connection + self.dropout = dropout + self.fused_projections = False + self.out_dim = out_dim if out_dim is not None else query_dim + self.out_context_dim = out_context_dim if out_context_dim is not None else query_dim + self.context_pre_only = context_pre_only + self.pre_only = pre_only + self.is_causal = is_causal + + self.scale_qk = scale_qk + self.scale = dim_head**-0.5 if self.scale_qk else 1.0 + + self.heads = out_dim // dim_head if out_dim is not None else heads + # for slice_size > 0 the attention score computation + # is split across the batch axis to save memory + # You can set slice_size with `set_attention_slice` + self.sliceable_head_dim = heads + + self.added_kv_proj_dim = added_kv_proj_dim + self.only_cross_attention = only_cross_attention + + if self.added_kv_proj_dim is None and self.only_cross_attention: + raise ValueError( + "`only_cross_attention` can only be set to True if `added_kv_proj_dim` is not None. Make sure to set either `only_cross_attention=False` or define `added_kv_proj_dim`." + ) + + self.group_norm = None + self.spatial_norm = None + + self.norm_q = None + self.norm_k = None + + self.norm_cross = None + self.to_q = operations.Linear(query_dim, self.inner_dim, bias=bias, dtype=dtype, device=device) + + if not self.only_cross_attention: + # only relevant for the `AddedKVProcessor` classes + self.to_k = operations.Linear(self.cross_attention_dim, self.inner_kv_dim, bias=bias, dtype=dtype, device=device) + self.to_v = operations.Linear(self.cross_attention_dim, self.inner_kv_dim, bias=bias, dtype=dtype, device=device) + else: + self.to_k = None + self.to_v = None + + self.added_proj_bias = added_proj_bias + if self.added_kv_proj_dim is not None: + self.add_k_proj = operations.Linear(added_kv_proj_dim, self.inner_kv_dim, bias=added_proj_bias, dtype=dtype, device=device) + self.add_v_proj = operations.Linear(added_kv_proj_dim, self.inner_kv_dim, bias=added_proj_bias, dtype=dtype, device=device) + if self.context_pre_only is not None: + self.add_q_proj = operations.Linear(added_kv_proj_dim, self.inner_dim, bias=added_proj_bias, dtype=dtype, device=device) + else: + self.add_q_proj = None + self.add_k_proj = None + self.add_v_proj = None + + if not self.pre_only: + self.to_out = nn.ModuleList([]) + self.to_out.append(operations.Linear(self.inner_dim, self.out_dim, bias=out_bias, dtype=dtype, device=device)) + self.to_out.append(nn.Dropout(dropout)) + else: + self.to_out = None + + if self.context_pre_only is not None and not self.context_pre_only: + self.to_add_out = operations.Linear(self.inner_dim, self.out_context_dim, bias=out_bias, dtype=dtype, device=device) + else: + self.to_add_out = None + + self.norm_added_q = None + self.norm_added_k = None + self.processor = processor + + def forward( + self, + hidden_states: torch.Tensor, + encoder_hidden_states: Optional[torch.Tensor] = None, + attention_mask: Optional[torch.Tensor] = None, + transformer_options={}, + **cross_attention_kwargs, + ) -> torch.Tensor: + return self.processor( + self, + hidden_states, + encoder_hidden_states=encoder_hidden_states, + attention_mask=attention_mask, + transformer_options=transformer_options, + **cross_attention_kwargs, + ) + + +class CustomLiteLAProcessor2_0: + """Attention processor used typically in processing the SD3-like self-attention projections. add rms norm for query and key and apply RoPE""" + + def __init__(self): + self.kernel_func = nn.ReLU(inplace=False) + self.eps = 1e-15 + self.pad_val = 1.0 + + def apply_rotary_emb( + self, + x: torch.Tensor, + freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]], + ) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Apply rotary embeddings to input tensors using the given frequency tensor. This function applies rotary embeddings + to the given query or key 'x' tensors using the provided frequency tensor 'freqs_cis'. The input tensors are + reshaped as complex numbers, and the frequency tensor is reshaped for broadcasting compatibility. The resulting + tensors contain rotary embeddings and are returned as real tensors. + + Args: + x (`torch.Tensor`): + Query or key tensor to apply rotary embeddings. [B, H, S, D] xk (torch.Tensor): Key tensor to apply + freqs_cis (`Tuple[torch.Tensor]`): Precomputed frequency tensor for complex exponentials. ([S, D], [S, D],) + + Returns: + Tuple[torch.Tensor, torch.Tensor]: Tuple of modified query tensor and key tensor with rotary embeddings. + """ + cos, sin = freqs_cis # [S, D] + cos = cos[None, None] + sin = sin[None, None] + cos, sin = cos.to(x.device), sin.to(x.device) + + x_real, x_imag = x.reshape(*x.shape[:-1], -1, 2).unbind(-1) # [B, S, H, D//2] + x_rotated = torch.stack([-x_imag, x_real], dim=-1).flatten(3) + out = (x.float() * cos + x_rotated.float() * sin).to(x.dtype) + + return out + + def __call__( + self, + attn: Attention, + hidden_states: torch.FloatTensor, + encoder_hidden_states: torch.FloatTensor = None, + attention_mask: Optional[torch.FloatTensor] = None, + encoder_attention_mask: Optional[torch.FloatTensor] = None, + rotary_freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]] = None, + rotary_freqs_cis_cross: Union[torch.Tensor, Tuple[torch.Tensor]] = None, + *args, + **kwargs, + ) -> torch.FloatTensor: + hidden_states_len = hidden_states.shape[1] + + input_ndim = hidden_states.ndim + if input_ndim == 4: + batch_size, channel, height, width = hidden_states.shape + hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2) + if encoder_hidden_states is not None: + context_input_ndim = encoder_hidden_states.ndim + if context_input_ndim == 4: + batch_size, channel, height, width = encoder_hidden_states.shape + encoder_hidden_states = encoder_hidden_states.view(batch_size, channel, height * width).transpose(1, 2) + + batch_size = hidden_states.shape[0] + + # `sample` projections. + dtype = hidden_states.dtype + query = attn.to_q(hidden_states) + key = attn.to_k(hidden_states) + value = attn.to_v(hidden_states) + + # `context` projections. + has_encoder_hidden_state_proj = hasattr(attn, "add_q_proj") and hasattr(attn, "add_k_proj") and hasattr(attn, "add_v_proj") + if encoder_hidden_states is not None and has_encoder_hidden_state_proj: + encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states) + encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states) + encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states) + + # attention + if not attn.is_cross_attention: + query = torch.cat([query, encoder_hidden_states_query_proj], dim=1) + key = torch.cat([key, encoder_hidden_states_key_proj], dim=1) + value = torch.cat([value, encoder_hidden_states_value_proj], dim=1) + else: + query = hidden_states + key = encoder_hidden_states + value = encoder_hidden_states + + inner_dim = key.shape[-1] + head_dim = inner_dim // attn.heads + + query = query.transpose(-1, -2).reshape(batch_size, attn.heads, head_dim, -1) + key = key.transpose(-1, -2).reshape(batch_size, attn.heads, head_dim, -1).transpose(-1, -2) + value = value.transpose(-1, -2).reshape(batch_size, attn.heads, head_dim, -1) + + # RoPE需要 [B, H, S, D] 输入 + # 此时 query是 [B, H, D, S], 需要转成 [B, H, S, D] 才能应用RoPE + query = query.permute(0, 1, 3, 2) # [B, H, S, D] (从 [B, H, D, S]) + + # Apply query and key normalization if needed + if attn.norm_q is not None: + query = attn.norm_q(query) + if attn.norm_k is not None: + key = attn.norm_k(key) + + # Apply RoPE if needed + if rotary_freqs_cis is not None: + query = self.apply_rotary_emb(query, rotary_freqs_cis) + if not attn.is_cross_attention: + key = self.apply_rotary_emb(key, rotary_freqs_cis) + elif rotary_freqs_cis_cross is not None and has_encoder_hidden_state_proj: + key = self.apply_rotary_emb(key, rotary_freqs_cis_cross) + + # 此时 query是 [B, H, S, D]，需要还原成 [B, H, D, S] + query = query.permute(0, 1, 3, 2) # [B, H, D, S] + + if attention_mask is not None: + # attention_mask: [B, S] -> [B, 1, S, 1] + attention_mask = attention_mask[:, None, :, None].to(key.dtype) # [B, 1, S, 1] + query = query * attention_mask.permute(0, 1, 3, 2) # [B, H, S, D] * [B, 1, S, 1] + if not attn.is_cross_attention: + key = key * attention_mask # key: [B, h, S, D] 与 mask [B, 1, S, 1] 相乘 + value = value * attention_mask.permute(0, 1, 3, 2) # 如果 value 是 [B, h, D, S]，那么需调整mask以匹配S维度 + + if attn.is_cross_attention and encoder_attention_mask is not None and has_encoder_hidden_state_proj: + encoder_attention_mask = encoder_attention_mask[:, None, :, None].to(key.dtype) # [B, 1, S_enc, 1] + # 此时 key: [B, h, S_enc, D], value: [B, h, D, S_enc] + key = key * encoder_attention_mask # [B, h, S_enc, D] * [B, 1, S_enc, 1] + value = value * encoder_attention_mask.permute(0, 1, 3, 2) # [B, h, D, S_enc] * [B, 1, 1, S_enc] + + query = self.kernel_func(query) + key = self.kernel_func(key) + + query, key, value = query.float(), key.float(), value.float() + + value = F.pad(value, (0, 0, 0, 1), mode="constant", value=self.pad_val) + + vk = torch.matmul(value, key) + + hidden_states = torch.matmul(vk, query) + + if hidden_states.dtype in [torch.float16, torch.bfloat16]: + hidden_states = hidden_states.float() + + hidden_states = hidden_states[:, :, :-1] / (hidden_states[:, :, -1:] + self.eps) + + hidden_states = hidden_states.view(batch_size, attn.heads * head_dim, -1).permute(0, 2, 1) + + hidden_states = hidden_states.to(dtype) + if encoder_hidden_states is not None: + encoder_hidden_states = encoder_hidden_states.to(dtype) + + # Split the attention outputs. + if encoder_hidden_states is not None and not attn.is_cross_attention and has_encoder_hidden_state_proj: + hidden_states, encoder_hidden_states = ( + hidden_states[:, : hidden_states_len], + hidden_states[:, hidden_states_len:], + ) + + # linear proj + hidden_states = attn.to_out[0](hidden_states) + # dropout + hidden_states = attn.to_out[1](hidden_states) + if encoder_hidden_states is not None and not attn.context_pre_only and not attn.is_cross_attention and hasattr(attn, "to_add_out"): + encoder_hidden_states = attn.to_add_out(encoder_hidden_states) + + if input_ndim == 4: + hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width) + if encoder_hidden_states is not None and context_input_ndim == 4: + encoder_hidden_states = encoder_hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width) + + if torch.get_autocast_gpu_dtype() == torch.float16: + hidden_states = hidden_states.clip(-65504, 65504) + if encoder_hidden_states is not None: + encoder_hidden_states = encoder_hidden_states.clip(-65504, 65504) + + return hidden_states, encoder_hidden_states + + +class CustomerAttnProcessor2_0: + r""" + Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0). + """ + + def apply_rotary_emb( + self, + x: torch.Tensor, + freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]], + ) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Apply rotary embeddings to input tensors using the given frequency tensor. This function applies rotary embeddings + to the given query or key 'x' tensors using the provided frequency tensor 'freqs_cis'. The input tensors are + reshaped as complex numbers, and the frequency tensor is reshaped for broadcasting compatibility. The resulting + tensors contain rotary embeddings and are returned as real tensors. + + Args: + x (`torch.Tensor`): + Query or key tensor to apply rotary embeddings. [B, H, S, D] xk (torch.Tensor): Key tensor to apply + freqs_cis (`Tuple[torch.Tensor]`): Precomputed frequency tensor for complex exponentials. ([S, D], [S, D],) + + Returns: + Tuple[torch.Tensor, torch.Tensor]: Tuple of modified query tensor and key tensor with rotary embeddings. + """ + cos, sin = freqs_cis # [S, D] + cos = cos[None, None] + sin = sin[None, None] + cos, sin = cos.to(x.device), sin.to(x.device) + + x_real, x_imag = x.reshape(*x.shape[:-1], -1, 2).unbind(-1) # [B, S, H, D//2] + x_rotated = torch.stack([-x_imag, x_real], dim=-1).flatten(3) + out = (x.float() * cos + x_rotated.float() * sin).to(x.dtype) + + return out + + def __call__( + self, + attn: Attention, + hidden_states: torch.FloatTensor, + encoder_hidden_states: torch.FloatTensor = None, + attention_mask: Optional[torch.FloatTensor] = None, + encoder_attention_mask: Optional[torch.FloatTensor] = None, + rotary_freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]] = None, + rotary_freqs_cis_cross: Union[torch.Tensor, Tuple[torch.Tensor]] = None, + transformer_options={}, + *args, + **kwargs, + ) -> torch.Tensor: + + residual = hidden_states + input_ndim = hidden_states.ndim + + if input_ndim == 4: + batch_size, channel, height, width = hidden_states.shape + hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2) + + batch_size, sequence_length, _ = ( + hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape + ) + + has_encoder_hidden_state_proj = hasattr(attn, "add_q_proj") and hasattr(attn, "add_k_proj") and hasattr(attn, "add_v_proj") + + if attn.group_norm is not None: + hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2) + + query = attn.to_q(hidden_states) + + if encoder_hidden_states is None: + encoder_hidden_states = hidden_states + elif attn.norm_cross: + encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states) + + key = attn.to_k(encoder_hidden_states) + value = attn.to_v(encoder_hidden_states) + + inner_dim = key.shape[-1] + head_dim = inner_dim // attn.heads + + query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + + key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + + if attn.norm_q is not None: + query = attn.norm_q(query) + if attn.norm_k is not None: + key = attn.norm_k(key) + + # Apply RoPE if needed + if rotary_freqs_cis is not None: + query = self.apply_rotary_emb(query, rotary_freqs_cis) + if not attn.is_cross_attention: + key = self.apply_rotary_emb(key, rotary_freqs_cis) + elif rotary_freqs_cis_cross is not None and has_encoder_hidden_state_proj: + key = self.apply_rotary_emb(key, rotary_freqs_cis_cross) + + if attn.is_cross_attention and encoder_attention_mask is not None and has_encoder_hidden_state_proj: + # attention_mask: N x S1 + # encoder_attention_mask: N x S2 + # cross attention 整合attention_mask和encoder_attention_mask + combined_mask = attention_mask[:, :, None] * encoder_attention_mask[:, None, :] + attention_mask = torch.where(combined_mask == 1, 0.0, -torch.inf) + attention_mask = attention_mask[:, None, :, :].expand(-1, attn.heads, -1, -1).to(query.dtype) + + elif not attn.is_cross_attention and attention_mask is not None: + attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size) + # scaled_dot_product_attention expects attention_mask shape to be + # (batch, heads, source_length, target_length) + attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1]) + + # the output of sdp = (batch, num_heads, seq_len, head_dim) + hidden_states = optimized_attention( + query, key, value, heads=query.shape[1], mask=attention_mask, skip_reshape=True, transformer_options=transformer_options, + ).to(query.dtype) + + # linear proj + hidden_states = attn.to_out[0](hidden_states) + # dropout + hidden_states = attn.to_out[1](hidden_states) + + if input_ndim == 4: + hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width) + + if attn.residual_connection: + hidden_states = hidden_states + residual + + hidden_states = hidden_states / attn.rescale_output_factor + + return hidden_states + +def val2list(x: list or tuple or any, repeat_time=1) -> list: # type: ignore + """Repeat `val` for `repeat_time` times and return the list or val if list/tuple.""" + if isinstance(x, (list, tuple)): + return list(x) + return [x for _ in range(repeat_time)] + + +def val2tuple(x: list or tuple or any, min_len: int = 1, idx_repeat: int = -1) -> tuple: # type: ignore + """Return tuple with min_len by repeating element at idx_repeat.""" + # convert to list first + x = val2list(x) + + # repeat elements if necessary + if len(x) > 0: + x[idx_repeat:idx_repeat] = [x[idx_repeat] for _ in range(min_len - len(x))] + + return tuple(x) + + +def t2i_modulate(x, shift, scale): + return x * (1 + scale) + shift + + +def get_same_padding(kernel_size: Union[int, Tuple[int, ...]]) -> Union[int, Tuple[int, ...]]: + if isinstance(kernel_size, tuple): + return tuple([get_same_padding(ks) for ks in kernel_size]) + else: + assert kernel_size % 2 > 0, f"kernel size {kernel_size} should be odd number" + return kernel_size // 2 + +class ConvLayer(nn.Module): + def __init__( + self, + in_dim: int, + out_dim: int, + kernel_size=3, + stride=1, + dilation=1, + groups=1, + padding: Union[int, None] = None, + use_bias=False, + norm=None, + act=None, + dtype=None, device=None, operations=None + ): + super().__init__() + if padding is None: + padding = get_same_padding(kernel_size) + padding *= dilation + + self.in_dim = in_dim + self.out_dim = out_dim + self.kernel_size = kernel_size + self.stride = stride + self.dilation = dilation + self.groups = groups + self.padding = padding + self.use_bias = use_bias + + self.conv = operations.Conv1d( + in_dim, + out_dim, + kernel_size=kernel_size, + stride=stride, + padding=padding, + dilation=dilation, + groups=groups, + bias=use_bias, + device=device, + dtype=dtype + ) + if norm is not None: + self.norm = operations.RMSNorm(out_dim, elementwise_affine=False, dtype=dtype, device=device) + else: + self.norm = None + if act is not None: + self.act = nn.SiLU(inplace=True) + else: + self.act = None + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.conv(x) + if self.norm: + x = self.norm(x) + if self.act: + x = self.act(x) + return x + + +class GLUMBConv(nn.Module): + def __init__( + self, + in_features: int, + hidden_features: int, + out_feature=None, + kernel_size=3, + stride=1, + padding: Union[int, None] = None, + use_bias=False, + norm=(None, None, None), + act=("silu", "silu", None), + dilation=1, + dtype=None, device=None, operations=None + ): + out_feature = out_feature or in_features + super().__init__() + use_bias = val2tuple(use_bias, 3) + norm = val2tuple(norm, 3) + act = val2tuple(act, 3) + + self.glu_act = nn.SiLU(inplace=False) + self.inverted_conv = ConvLayer( + in_features, + hidden_features * 2, + 1, + use_bias=use_bias[0], + norm=norm[0], + act=act[0], + dtype=dtype, + device=device, + operations=operations, + ) + self.depth_conv = ConvLayer( + hidden_features * 2, + hidden_features * 2, + kernel_size, + stride=stride, + groups=hidden_features * 2, + padding=padding, + use_bias=use_bias[1], + norm=norm[1], + act=None, + dilation=dilation, + dtype=dtype, + device=device, + operations=operations, + ) + self.point_conv = ConvLayer( + hidden_features, + out_feature, + 1, + use_bias=use_bias[2], + norm=norm[2], + act=act[2], + dtype=dtype, + device=device, + operations=operations, + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = x.transpose(1, 2) + x = self.inverted_conv(x) + x = self.depth_conv(x) + + x, gate = torch.chunk(x, 2, dim=1) + gate = self.glu_act(gate) + x = x * gate + + x = self.point_conv(x) + x = x.transpose(1, 2) + + return x + + +class LinearTransformerBlock(nn.Module): + """ + A Sana block with global shared adaptive layer norm (adaLN-single) conditioning. + """ + def __init__( + self, + dim, + num_attention_heads, + attention_head_dim, + use_adaln_single=True, + cross_attention_dim=None, + added_kv_proj_dim=None, + context_pre_only=False, + mlp_ratio=4.0, + add_cross_attention=False, + add_cross_attention_dim=None, + qk_norm=None, + dtype=None, device=None, operations=None + ): + super().__init__() + + self.norm1 = operations.RMSNorm(dim, elementwise_affine=False, eps=1e-6) + self.attn = Attention( + query_dim=dim, + cross_attention_dim=cross_attention_dim, + added_kv_proj_dim=added_kv_proj_dim, + dim_head=attention_head_dim, + heads=num_attention_heads, + out_dim=dim, + bias=True, + qk_norm=qk_norm, + processor=CustomLiteLAProcessor2_0(), + dtype=dtype, + device=device, + operations=operations, + ) + + self.add_cross_attention = add_cross_attention + self.context_pre_only = context_pre_only + + if add_cross_attention and add_cross_attention_dim is not None: + self.cross_attn = Attention( + query_dim=dim, + cross_attention_dim=add_cross_attention_dim, + added_kv_proj_dim=add_cross_attention_dim, + dim_head=attention_head_dim, + heads=num_attention_heads, + out_dim=dim, + context_pre_only=context_pre_only, + bias=True, + qk_norm=qk_norm, + processor=CustomerAttnProcessor2_0(), + dtype=dtype, + device=device, + operations=operations, + ) + + self.norm2 = operations.RMSNorm(dim, 1e-06, elementwise_affine=False) + + self.ff = GLUMBConv( + in_features=dim, + hidden_features=int(dim * mlp_ratio), + use_bias=(True, True, False), + norm=(None, None, None), + act=("silu", "silu", None), + dtype=dtype, + device=device, + operations=operations, + ) + self.use_adaln_single = use_adaln_single + if use_adaln_single: + self.scale_shift_table = nn.Parameter(torch.empty(6, dim, dtype=dtype, device=device)) + + def forward( + self, + hidden_states: torch.FloatTensor, + encoder_hidden_states: torch.FloatTensor = None, + attention_mask: torch.FloatTensor = None, + encoder_attention_mask: torch.FloatTensor = None, + rotary_freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]] = None, + rotary_freqs_cis_cross: Union[torch.Tensor, Tuple[torch.Tensor]] = None, + temb: torch.FloatTensor = None, + transformer_options={}, + ): + + N = hidden_states.shape[0] + + # step 1: AdaLN single + if self.use_adaln_single: + shift_msa, scale_msa, gate_msa, shift_mlp, scale_mlp, gate_mlp = ( + comfy.model_management.cast_to(self.scale_shift_table[None], dtype=temb.dtype, device=temb.device) + temb.reshape(N, 6, -1) + ).chunk(6, dim=1) + + norm_hidden_states = self.norm1(hidden_states) + if self.use_adaln_single: + norm_hidden_states = norm_hidden_states * (1 + scale_msa) + shift_msa + + # step 2: attention + if not self.add_cross_attention: + attn_output, encoder_hidden_states = self.attn( + hidden_states=norm_hidden_states, + attention_mask=attention_mask, + encoder_hidden_states=encoder_hidden_states, + encoder_attention_mask=encoder_attention_mask, + rotary_freqs_cis=rotary_freqs_cis, + rotary_freqs_cis_cross=rotary_freqs_cis_cross, + transformer_options=transformer_options, + ) + else: + attn_output, _ = self.attn( + hidden_states=norm_hidden_states, + attention_mask=attention_mask, + encoder_hidden_states=None, + encoder_attention_mask=None, + rotary_freqs_cis=rotary_freqs_cis, + rotary_freqs_cis_cross=None, + transformer_options=transformer_options, + ) + + if self.use_adaln_single: + attn_output = gate_msa * attn_output + hidden_states = attn_output + hidden_states + + if self.add_cross_attention: + attn_output = self.cross_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + encoder_hidden_states=encoder_hidden_states, + encoder_attention_mask=encoder_attention_mask, + rotary_freqs_cis=rotary_freqs_cis, + rotary_freqs_cis_cross=rotary_freqs_cis_cross, + transformer_options=transformer_options, + ) + hidden_states = attn_output + hidden_states + + # step 3: add norm + norm_hidden_states = self.norm2(hidden_states) + if self.use_adaln_single: + norm_hidden_states = norm_hidden_states * (1 + scale_mlp) + shift_mlp + + # step 4: feed forward + ff_output = self.ff(norm_hidden_states) + if self.use_adaln_single: + ff_output = gate_mlp * ff_output + + hidden_states = hidden_states + ff_output + + return hidden_states diff --git a/comfy/ldm/ace/lyric_encoder.py b/comfy/ldm/ace/lyric_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..ff4359b26e8d27591d6fa59d6d931ab13596efe1 --- /dev/null +++ b/comfy/ldm/ace/lyric_encoder.py @@ -0,0 +1,1067 @@ +# Original from: https://github.com/ace-step/ACE-Step/blob/main/models/lyrics_utils/lyric_encoder.py +from typing import Optional, Tuple, Union +import math +import torch +from torch import nn + +import comfy.model_management + +class ConvolutionModule(nn.Module): + """ConvolutionModule in Conformer model.""" + + def __init__(self, + channels: int, + kernel_size: int = 15, + activation: nn.Module = nn.ReLU(), + norm: str = "batch_norm", + causal: bool = False, + bias: bool = True, + dtype=None, device=None, operations=None): + """Construct an ConvolutionModule object. + Args: + channels (int): The number of channels of conv layers. + kernel_size (int): Kernel size of conv layers. + causal (int): Whether use causal convolution or not + """ + super().__init__() + + self.pointwise_conv1 = operations.Conv1d( + channels, + 2 * channels, + kernel_size=1, + stride=1, + padding=0, + bias=bias, + dtype=dtype, device=device + ) + # self.lorder is used to distinguish if it's a causal convolution, + # if self.lorder > 0: it's a causal convolution, the input will be + # padded with self.lorder frames on the left in forward. + # else: it's a symmetrical convolution + if causal: + padding = 0 + self.lorder = kernel_size - 1 + else: + # kernel_size should be an odd number for none causal convolution + assert (kernel_size - 1) % 2 == 0 + padding = (kernel_size - 1) // 2 + self.lorder = 0 + self.depthwise_conv = operations.Conv1d( + channels, + channels, + kernel_size, + stride=1, + padding=padding, + groups=channels, + bias=bias, + dtype=dtype, device=device + ) + + assert norm in ['batch_norm', 'layer_norm'] + if norm == "batch_norm": + self.use_layer_norm = False + self.norm = nn.BatchNorm1d(channels) + else: + self.use_layer_norm = True + self.norm = operations.LayerNorm(channels, dtype=dtype, device=device) + + self.pointwise_conv2 = operations.Conv1d( + channels, + channels, + kernel_size=1, + stride=1, + padding=0, + bias=bias, + dtype=dtype, device=device + ) + self.activation = activation + + def forward( + self, + x: torch.Tensor, + mask_pad: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + cache: torch.Tensor = torch.zeros((0, 0, 0)), + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Compute convolution module. + Args: + x (torch.Tensor): Input tensor (#batch, time, channels). + mask_pad (torch.Tensor): used for batch padding (#batch, 1, time), + (0, 0, 0) means fake mask. + cache (torch.Tensor): left context cache, it is only + used in causal convolution (#batch, channels, cache_t), + (0, 0, 0) meas fake cache. + Returns: + torch.Tensor: Output tensor (#batch, time, channels). + """ + # exchange the temporal dimension and the feature dimension + x = x.transpose(1, 2) # (#batch, channels, time) + + # mask batch padding + if mask_pad.size(2) > 0: # time > 0 + x.masked_fill_(~mask_pad, 0.0) + + if self.lorder > 0: + if cache.size(2) == 0: # cache_t == 0 + x = nn.functional.pad(x, (self.lorder, 0), 'constant', 0.0) + else: + assert cache.size(0) == x.size(0) # equal batch + assert cache.size(1) == x.size(1) # equal channel + x = torch.cat((cache, x), dim=2) + assert (x.size(2) > self.lorder) + new_cache = x[:, :, -self.lorder:] + else: + # It's better we just return None if no cache is required, + # However, for JIT export, here we just fake one tensor instead of + # None. + new_cache = torch.zeros((0, 0, 0), dtype=x.dtype, device=x.device) + + # GLU mechanism + x = self.pointwise_conv1(x) # (batch, 2*channel, dim) + x = nn.functional.glu(x, dim=1) # (batch, channel, dim) + + # 1D Depthwise Conv + x = self.depthwise_conv(x) + if self.use_layer_norm: + x = x.transpose(1, 2) + x = self.activation(self.norm(x)) + if self.use_layer_norm: + x = x.transpose(1, 2) + x = self.pointwise_conv2(x) + # mask batch padding + if mask_pad.size(2) > 0: # time > 0 + x.masked_fill_(~mask_pad, 0.0) + + return x.transpose(1, 2), new_cache + +class PositionwiseFeedForward(torch.nn.Module): + """Positionwise feed forward layer. + + FeedForward are appied on each position of the sequence. + The output dim is same with the input dim. + + Args: + idim (int): Input dimenstion. + hidden_units (int): The number of hidden units. + dropout_rate (float): Dropout rate. + activation (torch.nn.Module): Activation function + """ + + def __init__( + self, + idim: int, + hidden_units: int, + dropout_rate: float, + activation: torch.nn.Module = torch.nn.ReLU(), + dtype=None, device=None, operations=None + ): + """Construct a PositionwiseFeedForward object.""" + super(PositionwiseFeedForward, self).__init__() + self.w_1 = operations.Linear(idim, hidden_units, dtype=dtype, device=device) + self.activation = activation + self.dropout = torch.nn.Dropout(dropout_rate) + self.w_2 = operations.Linear(hidden_units, idim, dtype=dtype, device=device) + + def forward(self, xs: torch.Tensor) -> torch.Tensor: + """Forward function. + + Args: + xs: input tensor (B, L, D) + Returns: + output tensor, (B, L, D) + """ + return self.w_2(self.dropout(self.activation(self.w_1(xs)))) + +class Swish(torch.nn.Module): + """Construct an Swish object.""" + + def forward(self, x: torch.Tensor) -> torch.Tensor: + """Return Swish activation function.""" + return x * torch.sigmoid(x) + +class MultiHeadedAttention(nn.Module): + """Multi-Head Attention layer. + + Args: + n_head (int): The number of heads. + n_feat (int): The number of features. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, + n_head: int, + n_feat: int, + dropout_rate: float, + key_bias: bool = True, + dtype=None, device=None, operations=None): + """Construct an MultiHeadedAttention object.""" + super().__init__() + assert n_feat % n_head == 0 + # We assume d_v always equals d_k + self.d_k = n_feat // n_head + self.h = n_head + self.linear_q = operations.Linear(n_feat, n_feat, dtype=dtype, device=device) + self.linear_k = operations.Linear(n_feat, n_feat, bias=key_bias, dtype=dtype, device=device) + self.linear_v = operations.Linear(n_feat, n_feat, dtype=dtype, device=device) + self.linear_out = operations.Linear(n_feat, n_feat, dtype=dtype, device=device) + self.dropout = nn.Dropout(p=dropout_rate) + + def forward_qkv( + self, query: torch.Tensor, key: torch.Tensor, value: torch.Tensor + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Transform query, key and value. + + Args: + query (torch.Tensor): Query tensor (#batch, time1, size). + key (torch.Tensor): Key tensor (#batch, time2, size). + value (torch.Tensor): Value tensor (#batch, time2, size). + + Returns: + torch.Tensor: Transformed query tensor, size + (#batch, n_head, time1, d_k). + torch.Tensor: Transformed key tensor, size + (#batch, n_head, time2, d_k). + torch.Tensor: Transformed value tensor, size + (#batch, n_head, time2, d_k). + + """ + n_batch = query.size(0) + q = self.linear_q(query).view(n_batch, -1, self.h, self.d_k) + k = self.linear_k(key).view(n_batch, -1, self.h, self.d_k) + v = self.linear_v(value).view(n_batch, -1, self.h, self.d_k) + q = q.transpose(1, 2) # (batch, head, time1, d_k) + k = k.transpose(1, 2) # (batch, head, time2, d_k) + v = v.transpose(1, 2) # (batch, head, time2, d_k) + return q, k, v + + def forward_attention( + self, + value: torch.Tensor, + scores: torch.Tensor, + mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool) + ) -> torch.Tensor: + """Compute attention context vector. + + Args: + value (torch.Tensor): Transformed value, size + (#batch, n_head, time2, d_k). + scores (torch.Tensor): Attention score, size + (#batch, n_head, time1, time2). + mask (torch.Tensor): Mask, size (#batch, 1, time2) or + (#batch, time1, time2), (0, 0, 0) means fake mask. + + Returns: + torch.Tensor: Transformed value (#batch, time1, d_model) + weighted by the attention score (#batch, time1, time2). + + """ + n_batch = value.size(0) + + if mask is not None and mask.size(2) > 0: # time2 > 0 + mask = mask.unsqueeze(1).eq(0) # (batch, 1, *, time2) + # For last chunk, time2 might be larger than scores.size(-1) + mask = mask[:, :, :, :scores.size(-1)] # (batch, 1, *, time2) + scores = scores.masked_fill(mask, -float('inf')) + attn = torch.softmax(scores, dim=-1).masked_fill( + mask, 0.0) # (batch, head, time1, time2) + + else: + attn = torch.softmax(scores, dim=-1) # (batch, head, time1, time2) + + p_attn = self.dropout(attn) + x = torch.matmul(p_attn, value) # (batch, head, time1, d_k) + x = (x.transpose(1, 2).contiguous().view(n_batch, -1, + self.h * self.d_k) + ) # (batch, time1, d_model) + + return self.linear_out(x) # (batch, time1, d_model) + + def forward( + self, + query: torch.Tensor, + key: torch.Tensor, + value: torch.Tensor, + mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + pos_emb: torch.Tensor = torch.empty(0), + cache: torch.Tensor = torch.zeros((0, 0, 0, 0)) + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Compute scaled dot product attention. + + Args: + query (torch.Tensor): Query tensor (#batch, time1, size). + key (torch.Tensor): Key tensor (#batch, time2, size). + value (torch.Tensor): Value tensor (#batch, time2, size). + mask (torch.Tensor): Mask tensor (#batch, 1, time2) or + (#batch, time1, time2). + 1.When applying cross attention between decoder and encoder, + the batch padding mask for input is in (#batch, 1, T) shape. + 2.When applying self attention of encoder, + the mask is in (#batch, T, T) shape. + 3.When applying self attention of decoder, + the mask is in (#batch, L, L) shape. + 4.If the different position in decoder see different block + of the encoder, such as Mocha, the passed in mask could be + in (#batch, L, T) shape. But there is no such case in current + CosyVoice. + cache (torch.Tensor): Cache tensor (1, head, cache_t, d_k * 2), + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + + + Returns: + torch.Tensor: Output tensor (#batch, time1, d_model). + torch.Tensor: Cache tensor (1, head, cache_t + time1, d_k * 2) + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + + """ + q, k, v = self.forward_qkv(query, key, value) + if cache.size(0) > 0: + key_cache, value_cache = torch.split(cache, + cache.size(-1) // 2, + dim=-1) + k = torch.cat([key_cache, k], dim=2) + v = torch.cat([value_cache, v], dim=2) + new_cache = torch.cat((k, v), dim=-1) + + scores = torch.matmul(q, k.transpose(-2, -1)) / math.sqrt(self.d_k) + return self.forward_attention(v, scores, mask), new_cache + + +class RelPositionMultiHeadedAttention(MultiHeadedAttention): + """Multi-Head Attention layer with relative position encoding. + Paper: https://arxiv.org/abs/1901.02860 + Args: + n_head (int): The number of heads. + n_feat (int): The number of features. + dropout_rate (float): Dropout rate. + """ + + def __init__(self, + n_head: int, + n_feat: int, + dropout_rate: float, + key_bias: bool = True, + dtype=None, device=None, operations=None): + """Construct an RelPositionMultiHeadedAttention object.""" + super().__init__(n_head, n_feat, dropout_rate, key_bias, dtype=dtype, device=device, operations=operations) + # linear transformation for positional encoding + self.linear_pos = operations.Linear(n_feat, n_feat, bias=False, dtype=dtype, device=device) + # these two learnable bias are used in matrix c and matrix d + # as described in https://arxiv.org/abs/1901.02860 Section 3.3 + self.pos_bias_u = nn.Parameter(torch.empty(self.h, self.d_k, dtype=dtype, device=device)) + self.pos_bias_v = nn.Parameter(torch.empty(self.h, self.d_k, dtype=dtype, device=device)) + # torch.nn.init.xavier_uniform_(self.pos_bias_u) + # torch.nn.init.xavier_uniform_(self.pos_bias_v) + + def rel_shift(self, x: torch.Tensor) -> torch.Tensor: + """Compute relative positional encoding. + + Args: + x (torch.Tensor): Input tensor (batch, head, time1, 2*time1-1). + time1 means the length of query vector. + + Returns: + torch.Tensor: Output tensor. + + """ + zero_pad = torch.zeros((x.size()[0], x.size()[1], x.size()[2], 1), + device=x.device, + dtype=x.dtype) + x_padded = torch.cat([zero_pad, x], dim=-1) + + x_padded = x_padded.view(x.size()[0], + x.size()[1], + x.size(3) + 1, x.size(2)) + x = x_padded[:, :, 1:].view_as(x)[ + :, :, :, : x.size(-1) // 2 + 1 + ] # only keep the positions from 0 to time2 + return x + + def forward( + self, + query: torch.Tensor, + key: torch.Tensor, + value: torch.Tensor, + mask: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + pos_emb: torch.Tensor = torch.empty(0), + cache: torch.Tensor = torch.zeros((0, 0, 0, 0)) + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Compute 'Scaled Dot Product Attention' with rel. positional encoding. + Args: + query (torch.Tensor): Query tensor (#batch, time1, size). + key (torch.Tensor): Key tensor (#batch, time2, size). + value (torch.Tensor): Value tensor (#batch, time2, size). + mask (torch.Tensor): Mask tensor (#batch, 1, time2) or + (#batch, time1, time2), (0, 0, 0) means fake mask. + pos_emb (torch.Tensor): Positional embedding tensor + (#batch, time2, size). + cache (torch.Tensor): Cache tensor (1, head, cache_t, d_k * 2), + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + Returns: + torch.Tensor: Output tensor (#batch, time1, d_model). + torch.Tensor: Cache tensor (1, head, cache_t + time1, d_k * 2) + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + """ + q, k, v = self.forward_qkv(query, key, value) + q = q.transpose(1, 2) # (batch, time1, head, d_k) + + if cache.size(0) > 0: + key_cache, value_cache = torch.split(cache, + cache.size(-1) // 2, + dim=-1) + k = torch.cat([key_cache, k], dim=2) + v = torch.cat([value_cache, v], dim=2) + # NOTE(xcsong): We do cache slicing in encoder.forward_chunk, since it's + # non-trivial to calculate `next_cache_start` here. + new_cache = torch.cat((k, v), dim=-1) + + n_batch_pos = pos_emb.size(0) + p = self.linear_pos(pos_emb).view(n_batch_pos, -1, self.h, self.d_k) + p = p.transpose(1, 2) # (batch, head, time1, d_k) + + # (batch, head, time1, d_k) + q_with_bias_u = (q + comfy.model_management.cast_to(self.pos_bias_u, dtype=q.dtype, device=q.device)).transpose(1, 2) + # (batch, head, time1, d_k) + q_with_bias_v = (q + comfy.model_management.cast_to(self.pos_bias_v, dtype=q.dtype, device=q.device)).transpose(1, 2) + + # compute attention score + # first compute matrix a and matrix c + # as described in https://arxiv.org/abs/1901.02860 Section 3.3 + # (batch, head, time1, time2) + matrix_ac = torch.matmul(q_with_bias_u, k.transpose(-2, -1)) + + # compute matrix b and matrix d + # (batch, head, time1, time2) + matrix_bd = torch.matmul(q_with_bias_v, p.transpose(-2, -1)) + # NOTE(Xiang Lyu): Keep rel_shift since espnet rel_pos_emb is used + if matrix_ac.shape != matrix_bd.shape: + matrix_bd = self.rel_shift(matrix_bd) + + scores = (matrix_ac + matrix_bd) / math.sqrt( + self.d_k) # (batch, head, time1, time2) + + return self.forward_attention(v, scores, mask), new_cache + + + +def subsequent_mask( + size: int, + device: torch.device = torch.device("cpu"), +) -> torch.Tensor: + """Create mask for subsequent steps (size, size). + + This mask is used only in decoder which works in an auto-regressive mode. + This means the current step could only do attention with its left steps. + + In encoder, fully attention is used when streaming is not necessary and + the sequence is not long. In this case, no attention mask is needed. + + When streaming is need, chunk-based attention is used in encoder. See + subsequent_chunk_mask for the chunk-based attention mask. + + Args: + size (int): size of mask + str device (str): "cpu" or "cuda" or torch.Tensor.device + dtype (torch.device): result dtype + + Returns: + torch.Tensor: mask + + Examples: + >>> subsequent_mask(3) + [[1, 0, 0], + [1, 1, 0], + [1, 1, 1]] + """ + arange = torch.arange(size, device=device) + mask = arange.expand(size, size) + arange = arange.unsqueeze(-1) + mask = mask <= arange + return mask + + +def subsequent_chunk_mask( + size: int, + chunk_size: int, + num_left_chunks: int = -1, + device: torch.device = torch.device("cpu"), + ) -> torch.Tensor: + """Create mask for subsequent steps (size, size) with chunk size, + this is for streaming encoder + + Args: + size (int): size of mask + chunk_size (int): size of chunk + num_left_chunks (int): number of left chunks + <0: use full chunk + >=0: use num_left_chunks + device (torch.device): "cpu" or "cuda" or torch.Tensor.device + + Returns: + torch.Tensor: mask + + Examples: + >>> subsequent_chunk_mask(4, 2) + [[1, 1, 0, 0], + [1, 1, 0, 0], + [1, 1, 1, 1], + [1, 1, 1, 1]] + """ + ret = torch.zeros(size, size, device=device, dtype=torch.bool) + for i in range(size): + if num_left_chunks < 0: + start = 0 + else: + start = max((i // chunk_size - num_left_chunks) * chunk_size, 0) + ending = min((i // chunk_size + 1) * chunk_size, size) + ret[i, start:ending] = True + return ret + +def add_optional_chunk_mask(xs: torch.Tensor, + masks: torch.Tensor, + use_dynamic_chunk: bool, + use_dynamic_left_chunk: bool, + decoding_chunk_size: int, + static_chunk_size: int, + num_decoding_left_chunks: int, + enable_full_context: bool = True): + """ Apply optional mask for encoder. + + Args: + xs (torch.Tensor): padded input, (B, L, D), L for max length + mask (torch.Tensor): mask for xs, (B, 1, L) + use_dynamic_chunk (bool): whether to use dynamic chunk or not + use_dynamic_left_chunk (bool): whether to use dynamic left chunk for + training. + decoding_chunk_size (int): decoding chunk size for dynamic chunk, it's + 0: default for training, use random dynamic chunk. + <0: for decoding, use full chunk. + >0: for decoding, use fixed chunk size as set. + static_chunk_size (int): chunk size for static chunk training/decoding + if it's greater than 0, if use_dynamic_chunk is true, + this parameter will be ignored + num_decoding_left_chunks: number of left chunks, this is for decoding, + the chunk size is decoding_chunk_size. + >=0: use num_decoding_left_chunks + <0: use all left chunks + enable_full_context (bool): + True: chunk size is either [1, 25] or full context(max_len) + False: chunk size ~ U[1, 25] + + Returns: + torch.Tensor: chunk mask of the input xs. + """ + # Whether to use chunk mask or not + if use_dynamic_chunk: + max_len = xs.size(1) + if decoding_chunk_size < 0: + chunk_size = max_len + num_left_chunks = -1 + elif decoding_chunk_size > 0: + chunk_size = decoding_chunk_size + num_left_chunks = num_decoding_left_chunks + else: + # chunk size is either [1, 25] or full context(max_len). + # Since we use 4 times subsampling and allow up to 1s(100 frames) + # delay, the maximum frame is 100 / 4 = 25. + chunk_size = torch.randint(1, max_len, (1, )).item() + num_left_chunks = -1 + if chunk_size > max_len // 2 and enable_full_context: + chunk_size = max_len + else: + chunk_size = chunk_size % 25 + 1 + if use_dynamic_left_chunk: + max_left_chunks = (max_len - 1) // chunk_size + num_left_chunks = torch.randint(0, max_left_chunks, + (1, )).item() + chunk_masks = subsequent_chunk_mask(xs.size(1), chunk_size, + num_left_chunks, + xs.device) # (L, L) + chunk_masks = chunk_masks.unsqueeze(0) # (1, L, L) + chunk_masks = masks & chunk_masks # (B, L, L) + elif static_chunk_size > 0: + num_left_chunks = num_decoding_left_chunks + chunk_masks = subsequent_chunk_mask(xs.size(1), static_chunk_size, + num_left_chunks, + xs.device) # (L, L) + chunk_masks = chunk_masks.unsqueeze(0) # (1, L, L) + chunk_masks = masks & chunk_masks # (B, L, L) + else: + chunk_masks = masks + return chunk_masks + + +class ConformerEncoderLayer(nn.Module): + """Encoder layer module. + Args: + size (int): Input dimension. + self_attn (torch.nn.Module): Self-attention module instance. + `MultiHeadedAttention` or `RelPositionMultiHeadedAttention` + instance can be used as the argument. + feed_forward (torch.nn.Module): Feed-forward module instance. + `PositionwiseFeedForward` instance can be used as the argument. + feed_forward_macaron (torch.nn.Module): Additional feed-forward module + instance. + `PositionwiseFeedForward` instance can be used as the argument. + conv_module (torch.nn.Module): Convolution module instance. + `ConvlutionModule` instance can be used as the argument. + dropout_rate (float): Dropout rate. + normalize_before (bool): + True: use layer_norm before each sub-block. + False: use layer_norm after each sub-block. + """ + + def __init__( + self, + size: int, + self_attn: torch.nn.Module, + feed_forward: Optional[nn.Module] = None, + feed_forward_macaron: Optional[nn.Module] = None, + conv_module: Optional[nn.Module] = None, + dropout_rate: float = 0.1, + normalize_before: bool = True, + dtype=None, device=None, operations=None + ): + """Construct an EncoderLayer object.""" + super().__init__() + self.self_attn = self_attn + self.feed_forward = feed_forward + self.feed_forward_macaron = feed_forward_macaron + self.conv_module = conv_module + self.norm_ff = operations.LayerNorm(size, eps=1e-5, dtype=dtype, device=device) # for the FNN module + self.norm_mha = operations.LayerNorm(size, eps=1e-5, dtype=dtype, device=device) # for the MHA module + if feed_forward_macaron is not None: + self.norm_ff_macaron = operations.LayerNorm(size, eps=1e-5, dtype=dtype, device=device) + self.ff_scale = 0.5 + else: + self.ff_scale = 1.0 + if self.conv_module is not None: + self.norm_conv = operations.LayerNorm(size, eps=1e-5, dtype=dtype, device=device) # for the CNN module + self.norm_final = operations.LayerNorm( + size, eps=1e-5, dtype=dtype, device=device) # for the final output of the block + self.dropout = nn.Dropout(dropout_rate) + self.size = size + self.normalize_before = normalize_before + + def forward( + self, + x: torch.Tensor, + mask: torch.Tensor, + pos_emb: torch.Tensor, + mask_pad: torch.Tensor = torch.ones((0, 0, 0), dtype=torch.bool), + att_cache: torch.Tensor = torch.zeros((0, 0, 0, 0)), + cnn_cache: torch.Tensor = torch.zeros((0, 0, 0, 0)), + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + """Compute encoded features. + + Args: + x (torch.Tensor): (#batch, time, size) + mask (torch.Tensor): Mask tensor for the input (#batch, time，time), + (0, 0, 0) means fake mask. + pos_emb (torch.Tensor): positional encoding, must not be None + for ConformerEncoderLayer. + mask_pad (torch.Tensor): batch padding mask used for conv module. + (#batch, 1，time), (0, 0, 0) means fake mask. + att_cache (torch.Tensor): Cache tensor of the KEY & VALUE + (#batch=1, head, cache_t1, d_k * 2), head * d_k == size. + cnn_cache (torch.Tensor): Convolution cache in conformer layer + (#batch=1, size, cache_t2) + Returns: + torch.Tensor: Output tensor (#batch, time, size). + torch.Tensor: Mask tensor (#batch, time, time). + torch.Tensor: att_cache tensor, + (#batch=1, head, cache_t1 + time, d_k * 2). + torch.Tensor: cnn_cahce tensor (#batch, size, cache_t2). + """ + + # whether to use macaron style + if self.feed_forward_macaron is not None: + residual = x + if self.normalize_before: + x = self.norm_ff_macaron(x) + x = residual + self.ff_scale * self.dropout( + self.feed_forward_macaron(x)) + if not self.normalize_before: + x = self.norm_ff_macaron(x) + + # multi-headed self-attention module + residual = x + if self.normalize_before: + x = self.norm_mha(x) + x_att, new_att_cache = self.self_attn(x, x, x, mask, pos_emb, + att_cache) + x = residual + self.dropout(x_att) + if not self.normalize_before: + x = self.norm_mha(x) + + # convolution module + # Fake new cnn cache here, and then change it in conv_module + new_cnn_cache = torch.zeros((0, 0, 0), dtype=x.dtype, device=x.device) + if self.conv_module is not None: + residual = x + if self.normalize_before: + x = self.norm_conv(x) + x, new_cnn_cache = self.conv_module(x, mask_pad, cnn_cache) + x = residual + self.dropout(x) + + if not self.normalize_before: + x = self.norm_conv(x) + + # feed forward module + residual = x + if self.normalize_before: + x = self.norm_ff(x) + + x = residual + self.ff_scale * self.dropout(self.feed_forward(x)) + if not self.normalize_before: + x = self.norm_ff(x) + + if self.conv_module is not None: + x = self.norm_final(x) + + return x, mask, new_att_cache, new_cnn_cache + + + +class EspnetRelPositionalEncoding(torch.nn.Module): + """Relative positional encoding module (new implementation). + + Details can be found in https://github.com/espnet/espnet/pull/2816. + + See : Appendix B in https://arxiv.org/abs/1901.02860 + + Args: + d_model (int): Embedding dimension. + dropout_rate (float): Dropout rate. + max_len (int): Maximum input length. + + """ + + def __init__(self, d_model: int, dropout_rate: float, max_len: int = 5000): + """Construct an PositionalEncoding object.""" + super(EspnetRelPositionalEncoding, self).__init__() + self.d_model = d_model + self.xscale = math.sqrt(self.d_model) + self.dropout = torch.nn.Dropout(p=dropout_rate) + self.pe = None + self.extend_pe(torch.tensor(0.0).expand(1, max_len)) + + def extend_pe(self, x: torch.Tensor): + """Reset the positional encodings.""" + if self.pe is not None: + # self.pe contains both positive and negative parts + # the length of self.pe is 2 * input_len - 1 + if self.pe.size(1) >= x.size(1) * 2 - 1: + if self.pe.dtype != x.dtype or self.pe.device != x.device: + self.pe = self.pe.to(dtype=x.dtype, device=x.device) + return + # Suppose `i` means to the position of query vecotr and `j` means the + # position of key vector. We use position relative positions when keys + # are to the left (i>j) and negative relative positions otherwise (i Tuple[torch.Tensor, torch.Tensor]: + """Add positional encoding. + + Args: + x (torch.Tensor): Input tensor (batch, time, `*`). + + Returns: + torch.Tensor: Encoded tensor (batch, time, `*`). + + """ + self.extend_pe(x) + x = x * self.xscale + pos_emb = self.position_encoding(size=x.size(1), offset=offset) + return self.dropout(x), self.dropout(pos_emb) + + def position_encoding(self, + offset: Union[int, torch.Tensor], + size: int) -> torch.Tensor: + """ For getting encoding in a streaming fashion + + Attention!!!!! + we apply dropout only once at the whole utterance level in a none + streaming way, but will call this function several times with + increasing input size in a streaming scenario, so the dropout will + be applied several times. + + Args: + offset (int or torch.tensor): start offset + size (int): required size of position encoding + + Returns: + torch.Tensor: Corresponding encoding + """ + pos_emb = self.pe[ + :, + self.pe.size(1) // 2 - size + 1: self.pe.size(1) // 2 + size, + ] + return pos_emb + + + +class LinearEmbed(torch.nn.Module): + """Linear transform the input without subsampling + + Args: + idim (int): Input dimension. + odim (int): Output dimension. + dropout_rate (float): Dropout rate. + + """ + + def __init__(self, idim: int, odim: int, dropout_rate: float, + pos_enc_class: torch.nn.Module, dtype=None, device=None, operations=None): + """Construct an linear object.""" + super().__init__() + self.out = torch.nn.Sequential( + operations.Linear(idim, odim, dtype=dtype, device=device), + operations.LayerNorm(odim, eps=1e-5, dtype=dtype, device=device), + torch.nn.Dropout(dropout_rate), + ) + self.pos_enc = pos_enc_class #rel_pos_espnet + + def position_encoding(self, offset: Union[int, torch.Tensor], + size: int) -> torch.Tensor: + return self.pos_enc.position_encoding(offset, size) + + def forward( + self, + x: torch.Tensor, + offset: Union[int, torch.Tensor] = 0 + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + """Input x. + + Args: + x (torch.Tensor): Input tensor (#batch, time, idim). + x_mask (torch.Tensor): Input mask (#batch, 1, time). + + Returns: + torch.Tensor: linear input tensor (#batch, time', odim), + where time' = time . + torch.Tensor: linear input mask (#batch, 1, time'), + where time' = time . + + """ + x = self.out(x) + x, pos_emb = self.pos_enc(x, offset) + return x, pos_emb + + +ATTENTION_CLASSES = { + "selfattn": MultiHeadedAttention, + "rel_selfattn": RelPositionMultiHeadedAttention, +} + +ACTIVATION_CLASSES = { + "hardtanh": torch.nn.Hardtanh, + "tanh": torch.nn.Tanh, + "relu": torch.nn.ReLU, + "selu": torch.nn.SELU, + "swish": getattr(torch.nn, "SiLU", Swish), + "gelu": torch.nn.GELU, +} + + +def make_pad_mask(lengths: torch.Tensor, max_len: int = 0) -> torch.Tensor: + """Make mask tensor containing indices of padded part. + + See description of make_non_pad_mask. + + Args: + lengths (torch.Tensor): Batch of lengths (B,). + Returns: + torch.Tensor: Mask tensor containing indices of padded part. + + Examples: + >>> lengths = [5, 3, 2] + >>> make_pad_mask(lengths) + masks = [[0, 0, 0, 0 ,0], + [0, 0, 0, 1, 1], + [0, 0, 1, 1, 1]] + """ + batch_size = lengths.size(0) + max_len = max_len if max_len > 0 else lengths.max().item() + seq_range = torch.arange(0, + max_len, + dtype=torch.int64, + device=lengths.device) + seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len) + seq_length_expand = lengths.unsqueeze(-1) + mask = seq_range_expand >= seq_length_expand + return mask + +#https://github.com/FunAudioLLM/CosyVoice/blob/main/examples/magicdata-read/cosyvoice/conf/cosyvoice.yaml +class ConformerEncoder(torch.nn.Module): + """Conformer encoder module.""" + + def __init__( + self, + input_size: int, + output_size: int = 1024, + attention_heads: int = 16, + linear_units: int = 4096, + num_blocks: int = 6, + dropout_rate: float = 0.1, + positional_dropout_rate: float = 0.1, + attention_dropout_rate: float = 0.0, + input_layer: str = 'linear', + pos_enc_layer_type: str = 'rel_pos_espnet', + normalize_before: bool = True, + static_chunk_size: int = 1, # 1: causal_mask; 0: full_mask + use_dynamic_chunk: bool = False, + use_dynamic_left_chunk: bool = False, + positionwise_conv_kernel_size: int = 1, + macaron_style: bool =False, + selfattention_layer_type: str = "rel_selfattn", + activation_type: str = "swish", + use_cnn_module: bool = False, + cnn_module_kernel: int = 15, + causal: bool = False, + cnn_module_norm: str = "batch_norm", + key_bias: bool = True, + dtype=None, device=None, operations=None + ): + """Construct ConformerEncoder + + Args: + input_size to use_dynamic_chunk, see in BaseEncoder + positionwise_conv_kernel_size (int): Kernel size of positionwise + conv1d layer. + macaron_style (bool): Whether to use macaron style for + positionwise layer. + selfattention_layer_type (str): Encoder attention layer type, + the parameter has no effect now, it's just for configure + compatibility. #'rel_selfattn' + activation_type (str): Encoder activation function type. + use_cnn_module (bool): Whether to use convolution module. + cnn_module_kernel (int): Kernel size of convolution module. + causal (bool): whether to use causal convolution or not. + key_bias: whether use bias in attention.linear_k, False for whisper models. + """ + super().__init__() + self.output_size = output_size + self.embed = LinearEmbed(input_size, output_size, dropout_rate, + EspnetRelPositionalEncoding(output_size, positional_dropout_rate), dtype=dtype, device=device, operations=operations) + self.normalize_before = normalize_before + self.after_norm = operations.LayerNorm(output_size, eps=1e-5, dtype=dtype, device=device) + self.use_dynamic_chunk = use_dynamic_chunk + + self.static_chunk_size = static_chunk_size + self.use_dynamic_chunk = use_dynamic_chunk + self.use_dynamic_left_chunk = use_dynamic_left_chunk + activation = ACTIVATION_CLASSES[activation_type]() + + # self-attention module definition + encoder_selfattn_layer_args = ( + attention_heads, + output_size, + attention_dropout_rate, + key_bias, + ) + # feed-forward module definition + positionwise_layer_args = ( + output_size, + linear_units, + dropout_rate, + activation, + ) + # convolution module definition + convolution_layer_args = (output_size, cnn_module_kernel, activation, + cnn_module_norm, causal) + + self.encoders = torch.nn.ModuleList([ + ConformerEncoderLayer( + output_size, + RelPositionMultiHeadedAttention( + *encoder_selfattn_layer_args, dtype=dtype, device=device, operations=operations), + PositionwiseFeedForward(*positionwise_layer_args, dtype=dtype, device=device, operations=operations), + PositionwiseFeedForward( + *positionwise_layer_args, dtype=dtype, device=device, operations=operations) if macaron_style else None, + ConvolutionModule( + *convolution_layer_args, dtype=dtype, device=device, operations=operations) if use_cnn_module else None, + dropout_rate, + normalize_before, dtype=dtype, device=device, operations=operations + ) for _ in range(num_blocks) + ]) + + def forward_layers(self, xs: torch.Tensor, chunk_masks: torch.Tensor, + pos_emb: torch.Tensor, + mask_pad: torch.Tensor) -> torch.Tensor: + for layer in self.encoders: + xs, chunk_masks, _, _ = layer(xs, chunk_masks, pos_emb, mask_pad) + return xs + + def forward( + self, + xs: torch.Tensor, + pad_mask: torch.Tensor, + decoding_chunk_size: int = 0, + num_decoding_left_chunks: int = -1, + ) -> Tuple[torch.Tensor, torch.Tensor]: + """Embed positions in tensor. + + Args: + xs: padded input tensor (B, T, D) + xs_lens: input length (B) + decoding_chunk_size: decoding chunk size for dynamic chunk + 0: default for training, use random dynamic chunk. + <0: for decoding, use full chunk. + >0: for decoding, use fixed chunk size as set. + num_decoding_left_chunks: number of left chunks, this is for decoding, + the chunk size is decoding_chunk_size. + >=0: use num_decoding_left_chunks + <0: use all left chunks + Returns: + encoder output tensor xs, and subsampled masks + xs: padded output tensor (B, T' ~= T/subsample_rate, D) + masks: torch.Tensor batch padding mask after subsample + (B, 1, T' ~= T/subsample_rate) + NOTE(xcsong): + We pass the `__call__` method of the modules instead of `forward` to the + checkpointing API because `__call__` attaches all the hooks of the module. + https://discuss.pytorch.org/t/any-different-between-model-input-and-model-forward-input/3690/2 + """ + masks = None + if pad_mask is not None: + masks = pad_mask.to(torch.bool).unsqueeze(1) # (B, 1, T) + xs, pos_emb = self.embed(xs) + mask_pad = masks # (B, 1, T/subsample_rate) + chunk_masks = add_optional_chunk_mask(xs, masks, + self.use_dynamic_chunk, + self.use_dynamic_left_chunk, + decoding_chunk_size, + self.static_chunk_size, + num_decoding_left_chunks) + + xs = self.forward_layers(xs, chunk_masks, pos_emb, mask_pad) + if self.normalize_before: + xs = self.after_norm(xs) + # Here we assume the mask is not changed in encoder layers, so just + # return the masks before encoder layers, and the masks will be used + # for cross attention with decoder later + return xs, masks + diff --git a/comfy/ldm/ace/model.py b/comfy/ldm/ace/model.py new file mode 100644 index 0000000000000000000000000000000000000000..3993298539becb28f980263b7dd9a57691dd65a0 --- /dev/null +++ b/comfy/ldm/ace/model.py @@ -0,0 +1,411 @@ +# Original from: https://github.com/ace-step/ACE-Step/blob/main/models/ace_step_transformer.py + +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Optional, List, Union + +import torch +from torch import nn + +import comfy.model_management +import comfy.patcher_extension + +from comfy.ldm.lightricks.model import TimestepEmbedding, Timesteps +from .attention import LinearTransformerBlock, t2i_modulate +from .lyric_encoder import ConformerEncoder as LyricEncoder + + +def cross_norm(hidden_states, controlnet_input): + # input N x T x c + mean_hidden_states, std_hidden_states = hidden_states.mean(dim=(1,2), keepdim=True), hidden_states.std(dim=(1,2), keepdim=True) + mean_controlnet_input, std_controlnet_input = controlnet_input.mean(dim=(1,2), keepdim=True), controlnet_input.std(dim=(1,2), keepdim=True) + controlnet_input = (controlnet_input - mean_controlnet_input) * (std_hidden_states / (std_controlnet_input + 1e-12)) + mean_hidden_states + return controlnet_input + + +# Copied from transformers.models.mixtral.modeling_mixtral.MixtralRotaryEmbedding with Mixtral->Qwen2 +class Qwen2RotaryEmbedding(nn.Module): + def __init__(self, dim, max_position_embeddings=2048, base=10000, dtype=None, device=None): + super().__init__() + + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / (self.base ** (torch.arange(0, self.dim, 2, dtype=torch.int64, device=device).float() / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + # Build here to make `torch.jit.trace` work. + self._set_cos_sin_cache( + seq_len=max_position_embeddings, device=self.inv_freq.device, dtype=torch.float32 + ) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange(self.max_seq_len_cached, device=device, dtype=torch.int64).type_as(self.inv_freq) + + freqs = torch.outer(t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", emb.cos().to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin().to(dtype), persistent=False) + + def forward(self, x, seq_len=None): + # x: [bs, num_attention_heads, seq_len, head_size] + if seq_len > self.max_seq_len_cached: + self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=x.dtype) + + return ( + self.cos_cached[:seq_len].to(dtype=x.dtype), + self.sin_cached[:seq_len].to(dtype=x.dtype), + ) + + +class T2IFinalLayer(nn.Module): + """ + The final layer of Sana. + """ + + def __init__(self, hidden_size, patch_size=[16, 1], out_channels=256, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.RMSNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(hidden_size, patch_size[0] * patch_size[1] * out_channels, bias=True, dtype=dtype, device=device) + self.scale_shift_table = nn.Parameter(torch.empty(2, hidden_size, dtype=dtype, device=device)) + self.out_channels = out_channels + self.patch_size = patch_size + + def unpatchfy( + self, + hidden_states: torch.Tensor, + width: int, + ): + # 4 unpatchify + new_height, new_width = 1, hidden_states.size(1) + hidden_states = hidden_states.reshape( + shape=(hidden_states.shape[0], new_height, new_width, self.patch_size[0], self.patch_size[1], self.out_channels) + ).contiguous() + hidden_states = torch.einsum("nhwpqc->nchpwq", hidden_states) + output = hidden_states.reshape( + shape=(hidden_states.shape[0], self.out_channels, new_height * self.patch_size[0], new_width * self.patch_size[1]) + ).contiguous() + if width > new_width: + output = torch.nn.functional.pad(output, (0, width - new_width, 0, 0), 'constant', 0) + elif width < new_width: + output = output[:, :, :, :width] + return output + + def forward(self, x, t, output_length): + shift, scale = (comfy.model_management.cast_to(self.scale_shift_table[None], device=t.device, dtype=t.dtype) + t[:, None]).chunk(2, dim=1) + x = t2i_modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + # unpatchify + output = self.unpatchfy(x, output_length) + return output + + +class PatchEmbed(nn.Module): + """2D Image to Patch Embedding""" + + def __init__( + self, + height=16, + width=4096, + patch_size=(16, 1), + in_channels=8, + embed_dim=1152, + bias=True, + dtype=None, device=None, operations=None + ): + super().__init__() + patch_size_h, patch_size_w = patch_size + self.early_conv_layers = nn.Sequential( + operations.Conv2d(in_channels, in_channels*256, kernel_size=patch_size, stride=patch_size, padding=0, bias=bias, dtype=dtype, device=device), + operations.GroupNorm(num_groups=32, num_channels=in_channels*256, eps=1e-6, affine=True, dtype=dtype, device=device), + operations.Conv2d(in_channels*256, embed_dim, kernel_size=1, stride=1, padding=0, bias=bias, dtype=dtype, device=device) + ) + self.patch_size = patch_size + self.height, self.width = height // patch_size_h, width // patch_size_w + self.base_size = self.width + + def forward(self, latent): + # early convolutions, N x C x H x W -> N x 256 * sqrt(patch_size) x H/patch_size x W/patch_size + latent = self.early_conv_layers(latent) + latent = latent.flatten(2).transpose(1, 2) # BCHW -> BNC + return latent + + +class ACEStepTransformer2DModel(nn.Module): + # _supports_gradient_checkpointing = True + + def __init__( + self, + in_channels: Optional[int] = 8, + num_layers: int = 28, + inner_dim: int = 1536, + attention_head_dim: int = 64, + num_attention_heads: int = 24, + mlp_ratio: float = 4.0, + out_channels: int = 8, + max_position: int = 32768, + rope_theta: float = 1000000.0, + speaker_embedding_dim: int = 512, + text_embedding_dim: int = 768, + ssl_encoder_depths: List[int] = [9, 9], + ssl_names: List[str] = ["mert", "m-hubert"], + ssl_latent_dims: List[int] = [1024, 768], + lyric_encoder_vocab_size: int = 6681, + lyric_hidden_size: int = 1024, + patch_size: List[int] = [16, 1], + max_height: int = 16, + max_width: int = 4096, + audio_model=None, + dtype=None, device=None, operations=None + + ): + super().__init__() + + self.dtype = dtype + self.num_attention_heads = num_attention_heads + self.attention_head_dim = attention_head_dim + inner_dim = num_attention_heads * attention_head_dim + self.inner_dim = inner_dim + self.out_channels = out_channels + self.max_position = max_position + self.patch_size = patch_size + + self.rope_theta = rope_theta + + self.rotary_emb = Qwen2RotaryEmbedding( + dim=self.attention_head_dim, + max_position_embeddings=self.max_position, + base=self.rope_theta, + dtype=dtype, + device=device, + ) + + # 2. Define input layers + self.in_channels = in_channels + + self.num_layers = num_layers + # 3. Define transformers blocks + self.transformer_blocks = nn.ModuleList( + [ + LinearTransformerBlock( + dim=self.inner_dim, + num_attention_heads=self.num_attention_heads, + attention_head_dim=attention_head_dim, + mlp_ratio=mlp_ratio, + add_cross_attention=True, + add_cross_attention_dim=self.inner_dim, + dtype=dtype, + device=device, + operations=operations, + ) + for i in range(self.num_layers) + ] + ) + + self.time_proj = Timesteps(num_channels=256, flip_sin_to_cos=True, downscale_freq_shift=0) + self.timestep_embedder = TimestepEmbedding(in_channels=256, time_embed_dim=self.inner_dim, dtype=dtype, device=device, operations=operations) + self.t_block = nn.Sequential(nn.SiLU(), operations.Linear(self.inner_dim, 6 * self.inner_dim, bias=True, dtype=dtype, device=device)) + + # speaker + self.speaker_embedder = operations.Linear(speaker_embedding_dim, self.inner_dim, dtype=dtype, device=device) + + # genre + self.genre_embedder = operations.Linear(text_embedding_dim, self.inner_dim, dtype=dtype, device=device) + + # lyric + self.lyric_embs = operations.Embedding(lyric_encoder_vocab_size, lyric_hidden_size, dtype=dtype, device=device) + self.lyric_encoder = LyricEncoder(input_size=lyric_hidden_size, static_chunk_size=0, dtype=dtype, device=device, operations=operations) + self.lyric_proj = operations.Linear(lyric_hidden_size, self.inner_dim, dtype=dtype, device=device) + + projector_dim = 2 * self.inner_dim + + self.projectors = nn.ModuleList([ + nn.Sequential( + operations.Linear(self.inner_dim, projector_dim, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(projector_dim, projector_dim, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(projector_dim, ssl_dim, dtype=dtype, device=device), + ) for ssl_dim in ssl_latent_dims + ]) + + self.proj_in = PatchEmbed( + height=max_height, + width=max_width, + patch_size=patch_size, + embed_dim=self.inner_dim, + bias=True, + dtype=dtype, + device=device, + operations=operations, + ) + + self.final_layer = T2IFinalLayer(self.inner_dim, patch_size=patch_size, out_channels=out_channels, dtype=dtype, device=device, operations=operations) + + def forward_lyric_encoder( + self, + lyric_token_idx: Optional[torch.LongTensor] = None, + lyric_mask: Optional[torch.LongTensor] = None, + out_dtype=None, + ): + # N x T x D + lyric_embs = self.lyric_embs(lyric_token_idx, out_dtype=out_dtype) + prompt_prenet_out, _mask = self.lyric_encoder(lyric_embs, lyric_mask, decoding_chunk_size=1, num_decoding_left_chunks=-1) + prompt_prenet_out = self.lyric_proj(prompt_prenet_out) + return prompt_prenet_out + + def encode( + self, + encoder_text_hidden_states: Optional[torch.Tensor] = None, + text_attention_mask: Optional[torch.LongTensor] = None, + speaker_embeds: Optional[torch.FloatTensor] = None, + lyric_token_idx: Optional[torch.LongTensor] = None, + lyric_mask: Optional[torch.LongTensor] = None, + lyrics_strength=1.0, + ): + + bs = encoder_text_hidden_states.shape[0] + device = encoder_text_hidden_states.device + + # speaker embedding + encoder_spk_hidden_states = self.speaker_embedder(speaker_embeds).unsqueeze(1) + + # genre embedding + encoder_text_hidden_states = self.genre_embedder(encoder_text_hidden_states) + + # lyric + encoder_lyric_hidden_states = self.forward_lyric_encoder( + lyric_token_idx=lyric_token_idx, + lyric_mask=lyric_mask, + out_dtype=encoder_text_hidden_states.dtype, + ) + + encoder_lyric_hidden_states *= lyrics_strength + + encoder_hidden_states = torch.cat([encoder_spk_hidden_states, encoder_text_hidden_states, encoder_lyric_hidden_states], dim=1) + + encoder_hidden_mask = None + if text_attention_mask is not None: + speaker_mask = torch.ones(bs, 1, device=device) + encoder_hidden_mask = torch.cat([speaker_mask, text_attention_mask, lyric_mask], dim=1) + + return encoder_hidden_states, encoder_hidden_mask + + def decode( + self, + hidden_states: torch.Tensor, + attention_mask: torch.Tensor, + encoder_hidden_states: torch.Tensor, + encoder_hidden_mask: torch.Tensor, + timestep: Optional[torch.Tensor], + output_length: int = 0, + block_controlnet_hidden_states: Optional[Union[List[torch.Tensor], torch.Tensor]] = None, + controlnet_scale: Union[float, torch.Tensor] = 1.0, + transformer_options={}, + ): + embedded_timestep = self.timestep_embedder(self.time_proj(timestep).to(dtype=hidden_states.dtype)) + temb = self.t_block(embedded_timestep) + + hidden_states = self.proj_in(hidden_states) + + # controlnet logic + if block_controlnet_hidden_states is not None: + control_condi = cross_norm(hidden_states, block_controlnet_hidden_states) + hidden_states = hidden_states + control_condi * controlnet_scale + + # inner_hidden_states = [] + + rotary_freqs_cis = self.rotary_emb(hidden_states, seq_len=hidden_states.shape[1]) + encoder_rotary_freqs_cis = self.rotary_emb(encoder_hidden_states, seq_len=encoder_hidden_states.shape[1]) + + for index_block, block in enumerate(self.transformer_blocks): + hidden_states = block( + hidden_states=hidden_states, + attention_mask=attention_mask, + encoder_hidden_states=encoder_hidden_states, + encoder_attention_mask=encoder_hidden_mask, + rotary_freqs_cis=rotary_freqs_cis, + rotary_freqs_cis_cross=encoder_rotary_freqs_cis, + temb=temb, + transformer_options=transformer_options, + ) + + output = self.final_layer(hidden_states, embedded_timestep, output_length) + return output + + def forward(self, + x, + timestep, + attention_mask=None, + context: Optional[torch.Tensor] = None, + text_attention_mask: Optional[torch.LongTensor] = None, + speaker_embeds: Optional[torch.FloatTensor] = None, + lyric_token_idx: Optional[torch.LongTensor] = None, + lyric_mask: Optional[torch.LongTensor] = None, + block_controlnet_hidden_states: Optional[Union[List[torch.Tensor], torch.Tensor]] = None, + controlnet_scale: Union[float, torch.Tensor] = 1.0, + lyrics_strength=1.0, + **kwargs + ): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, kwargs.get("transformer_options", {})) + ).execute(x, timestep, attention_mask, context, text_attention_mask, speaker_embeds, lyric_token_idx, lyric_mask, block_controlnet_hidden_states, + controlnet_scale, lyrics_strength, **kwargs) + + def _forward( + self, + x, + timestep, + attention_mask=None, + context: Optional[torch.Tensor] = None, + text_attention_mask: Optional[torch.LongTensor] = None, + speaker_embeds: Optional[torch.FloatTensor] = None, + lyric_token_idx: Optional[torch.LongTensor] = None, + lyric_mask: Optional[torch.LongTensor] = None, + block_controlnet_hidden_states: Optional[Union[List[torch.Tensor], torch.Tensor]] = None, + controlnet_scale: Union[float, torch.Tensor] = 1.0, + lyrics_strength=1.0, + **kwargs + ): + hidden_states = x + encoder_text_hidden_states = context + encoder_hidden_states, encoder_hidden_mask = self.encode( + encoder_text_hidden_states=encoder_text_hidden_states, + text_attention_mask=text_attention_mask, + speaker_embeds=speaker_embeds, + lyric_token_idx=lyric_token_idx, + lyric_mask=lyric_mask, + lyrics_strength=lyrics_strength, + ) + + output_length = hidden_states.shape[-1] + + transformer_options = kwargs.get("transformer_options", {}) + output = self.decode( + hidden_states=hidden_states, + attention_mask=attention_mask, + encoder_hidden_states=encoder_hidden_states, + encoder_hidden_mask=encoder_hidden_mask, + timestep=timestep, + output_length=output_length, + block_controlnet_hidden_states=block_controlnet_hidden_states, + controlnet_scale=controlnet_scale, + transformer_options=transformer_options, + ) + + return output diff --git a/comfy/ldm/ace/vae/autoencoder_dc.py b/comfy/ldm/ace/vae/autoencoder_dc.py new file mode 100644 index 0000000000000000000000000000000000000000..e7b1d4801e7b3f47f29cb90f41adff4d415868cd --- /dev/null +++ b/comfy/ldm/ace/vae/autoencoder_dc.py @@ -0,0 +1,644 @@ +# Rewritten from diffusers +import torch +import torch.nn as nn +import torch.nn.functional as F +from typing import Tuple, Union + +import comfy.model_management +import comfy.ops +ops = comfy.ops.disable_weight_init + + +class RMSNorm(ops.RMSNorm): + def __init__(self, dim, eps=1e-5, elementwise_affine=True, bias=False): + super().__init__(dim, eps=eps, elementwise_affine=elementwise_affine) + if elementwise_affine: + self.bias = nn.Parameter(torch.empty(dim)) if bias else None + + def forward(self, x): + x = super().forward(x) + if self.elementwise_affine: + if self.bias is not None: + x = x + comfy.model_management.cast_to(self.bias, dtype=x.dtype, device=x.device) + return x + + +def get_normalization(norm_type, num_features, num_groups=32, eps=1e-5): + if norm_type == "batch_norm": + return nn.BatchNorm2d(num_features) + elif norm_type == "group_norm": + return ops.GroupNorm(num_groups, num_features) + elif norm_type == "layer_norm": + return ops.LayerNorm(num_features) + elif norm_type == "rms_norm": + return RMSNorm(num_features, eps=eps, elementwise_affine=True, bias=True) + else: + raise ValueError(f"Unknown normalization type: {norm_type}") + + +def get_activation(activation_type): + if activation_type == "relu": + return nn.ReLU() + elif activation_type == "relu6": + return nn.ReLU6() + elif activation_type == "silu": + return nn.SiLU() + elif activation_type == "leaky_relu": + return nn.LeakyReLU(0.2) + else: + raise ValueError(f"Unknown activation type: {activation_type}") + + +class ResBlock(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + norm_type: str = "batch_norm", + act_fn: str = "relu6", + ) -> None: + super().__init__() + + self.norm_type = norm_type + self.nonlinearity = get_activation(act_fn) if act_fn is not None else nn.Identity() + self.conv1 = ops.Conv2d(in_channels, in_channels, 3, 1, 1) + self.conv2 = ops.Conv2d(in_channels, out_channels, 3, 1, 1, bias=False) + self.norm = get_normalization(norm_type, out_channels) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + residual = hidden_states + hidden_states = self.conv1(hidden_states) + hidden_states = self.nonlinearity(hidden_states) + hidden_states = self.conv2(hidden_states) + + if self.norm_type == "rms_norm": + # move channel to the last dimension so we apply RMSnorm across channel dimension + hidden_states = self.norm(hidden_states.movedim(1, -1)).movedim(-1, 1) + else: + hidden_states = self.norm(hidden_states) + + return hidden_states + residual + +class SanaMultiscaleAttentionProjection(nn.Module): + def __init__( + self, + in_channels: int, + num_attention_heads: int, + kernel_size: int, + ) -> None: + super().__init__() + + channels = 3 * in_channels + self.proj_in = ops.Conv2d( + channels, + channels, + kernel_size, + padding=kernel_size // 2, + groups=channels, + bias=False, + ) + self.proj_out = ops.Conv2d(channels, channels, 1, 1, 0, groups=3 * num_attention_heads, bias=False) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + hidden_states = self.proj_in(hidden_states) + hidden_states = self.proj_out(hidden_states) + return hidden_states + +class SanaMultiscaleLinearAttention(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + num_attention_heads: int = None, + attention_head_dim: int = 8, + mult: float = 1.0, + norm_type: str = "batch_norm", + kernel_sizes: tuple = (5,), + eps: float = 1e-15, + residual_connection: bool = False, + ): + super().__init__() + + self.eps = eps + self.attention_head_dim = attention_head_dim + self.norm_type = norm_type + self.residual_connection = residual_connection + + num_attention_heads = ( + int(in_channels // attention_head_dim * mult) + if num_attention_heads is None + else num_attention_heads + ) + inner_dim = num_attention_heads * attention_head_dim + + self.to_q = ops.Linear(in_channels, inner_dim, bias=False) + self.to_k = ops.Linear(in_channels, inner_dim, bias=False) + self.to_v = ops.Linear(in_channels, inner_dim, bias=False) + + self.to_qkv_multiscale = nn.ModuleList() + for kernel_size in kernel_sizes: + self.to_qkv_multiscale.append( + SanaMultiscaleAttentionProjection(inner_dim, num_attention_heads, kernel_size) + ) + + self.nonlinearity = nn.ReLU() + self.to_out = ops.Linear(inner_dim * (1 + len(kernel_sizes)), out_channels, bias=False) + self.norm_out = get_normalization(norm_type, out_channels) + + def apply_linear_attention(self, query, key, value): + value = F.pad(value, (0, 0, 0, 1), mode="constant", value=1) + scores = torch.matmul(value, key.transpose(-1, -2)) + hidden_states = torch.matmul(scores, query) + + hidden_states = hidden_states.to(dtype=torch.float32) + hidden_states = hidden_states[:, :, :-1] / (hidden_states[:, :, -1:] + self.eps) + return hidden_states + + def apply_quadratic_attention(self, query, key, value): + scores = torch.matmul(key.transpose(-1, -2), query) + scores = scores.to(dtype=torch.float32) + scores = scores / (torch.sum(scores, dim=2, keepdim=True) + self.eps) + hidden_states = torch.matmul(value, scores.to(value.dtype)) + return hidden_states + + def forward(self, hidden_states): + height, width = hidden_states.shape[-2:] + if height * width > self.attention_head_dim: + use_linear_attention = True + else: + use_linear_attention = False + + residual = hidden_states + + batch_size, _, height, width = list(hidden_states.size()) + original_dtype = hidden_states.dtype + + hidden_states = hidden_states.movedim(1, -1) + query = self.to_q(hidden_states) + key = self.to_k(hidden_states) + value = self.to_v(hidden_states) + hidden_states = torch.cat([query, key, value], dim=3) + hidden_states = hidden_states.movedim(-1, 1) + + multi_scale_qkv = [hidden_states] + for block in self.to_qkv_multiscale: + multi_scale_qkv.append(block(hidden_states)) + + hidden_states = torch.cat(multi_scale_qkv, dim=1) + + if use_linear_attention: + # for linear attention upcast hidden_states to float32 + hidden_states = hidden_states.to(dtype=torch.float32) + + hidden_states = hidden_states.reshape(batch_size, -1, 3 * self.attention_head_dim, height * width) + + query, key, value = hidden_states.chunk(3, dim=2) + query = self.nonlinearity(query) + key = self.nonlinearity(key) + + if use_linear_attention: + hidden_states = self.apply_linear_attention(query, key, value) + hidden_states = hidden_states.to(dtype=original_dtype) + else: + hidden_states = self.apply_quadratic_attention(query, key, value) + + hidden_states = torch.reshape(hidden_states, (batch_size, -1, height, width)) + hidden_states = self.to_out(hidden_states.movedim(1, -1)).movedim(-1, 1) + + if self.norm_type == "rms_norm": + hidden_states = self.norm_out(hidden_states.movedim(1, -1)).movedim(-1, 1) + else: + hidden_states = self.norm_out(hidden_states) + + if self.residual_connection: + hidden_states = hidden_states + residual + + return hidden_states + + +class EfficientViTBlock(nn.Module): + def __init__( + self, + in_channels: int, + mult: float = 1.0, + attention_head_dim: int = 32, + qkv_multiscales: tuple = (5,), + norm_type: str = "batch_norm", + ) -> None: + super().__init__() + + self.attn = SanaMultiscaleLinearAttention( + in_channels=in_channels, + out_channels=in_channels, + mult=mult, + attention_head_dim=attention_head_dim, + norm_type=norm_type, + kernel_sizes=qkv_multiscales, + residual_connection=True, + ) + + self.conv_out = GLUMBConv( + in_channels=in_channels, + out_channels=in_channels, + norm_type="rms_norm", + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.attn(x) + x = self.conv_out(x) + return x + + +class GLUMBConv(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + expand_ratio: float = 4, + norm_type: str = None, + residual_connection: bool = True, + ) -> None: + super().__init__() + + hidden_channels = int(expand_ratio * in_channels) + self.norm_type = norm_type + self.residual_connection = residual_connection + + self.nonlinearity = nn.SiLU() + self.conv_inverted = ops.Conv2d(in_channels, hidden_channels * 2, 1, 1, 0) + self.conv_depth = ops.Conv2d(hidden_channels * 2, hidden_channels * 2, 3, 1, 1, groups=hidden_channels * 2) + self.conv_point = ops.Conv2d(hidden_channels, out_channels, 1, 1, 0, bias=False) + + self.norm = None + if norm_type == "rms_norm": + self.norm = RMSNorm(out_channels, eps=1e-5, elementwise_affine=True, bias=True) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + if self.residual_connection: + residual = hidden_states + + hidden_states = self.conv_inverted(hidden_states) + hidden_states = self.nonlinearity(hidden_states) + + hidden_states = self.conv_depth(hidden_states) + hidden_states, gate = torch.chunk(hidden_states, 2, dim=1) + hidden_states = hidden_states * self.nonlinearity(gate) + + hidden_states = self.conv_point(hidden_states) + + if self.norm_type == "rms_norm": + # move channel to the last dimension so we apply RMSnorm across channel dimension + hidden_states = self.norm(hidden_states.movedim(1, -1)).movedim(-1, 1) + + if self.residual_connection: + hidden_states = hidden_states + residual + + return hidden_states + + +def get_block( + block_type: str, + in_channels: int, + out_channels: int, + attention_head_dim: int, + norm_type: str, + act_fn: str, + qkv_mutliscales: tuple = (), +): + if block_type == "ResBlock": + block = ResBlock(in_channels, out_channels, norm_type, act_fn) + elif block_type == "EfficientViTBlock": + block = EfficientViTBlock( + in_channels, + attention_head_dim=attention_head_dim, + norm_type=norm_type, + qkv_multiscales=qkv_mutliscales + ) + else: + raise ValueError(f"Block with {block_type=} is not supported.") + + return block + + +class DCDownBlock2d(nn.Module): + def __init__(self, in_channels: int, out_channels: int, downsample: bool = False, shortcut: bool = True) -> None: + super().__init__() + + self.downsample = downsample + self.factor = 2 + self.stride = 1 if downsample else 2 + self.group_size = in_channels * self.factor**2 // out_channels + self.shortcut = shortcut + + out_ratio = self.factor**2 + if downsample: + assert out_channels % out_ratio == 0 + out_channels = out_channels // out_ratio + + self.conv = ops.Conv2d( + in_channels, + out_channels, + kernel_size=3, + stride=self.stride, + padding=1, + ) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + x = self.conv(hidden_states) + if self.downsample: + x = F.pixel_unshuffle(x, self.factor) + + if self.shortcut: + y = F.pixel_unshuffle(hidden_states, self.factor) + y = y.unflatten(1, (-1, self.group_size)) + y = y.mean(dim=2) + hidden_states = x + y + else: + hidden_states = x + + return hidden_states + + +class DCUpBlock2d(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + interpolate: bool = False, + shortcut: bool = True, + interpolation_mode: str = "nearest", + ) -> None: + super().__init__() + + self.interpolate = interpolate + self.interpolation_mode = interpolation_mode + self.shortcut = shortcut + self.factor = 2 + self.repeats = out_channels * self.factor**2 // in_channels + + out_ratio = self.factor**2 + if not interpolate: + out_channels = out_channels * out_ratio + + self.conv = ops.Conv2d(in_channels, out_channels, 3, 1, 1) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + if self.interpolate: + x = F.interpolate(hidden_states, scale_factor=self.factor, mode=self.interpolation_mode) + x = self.conv(x) + else: + x = self.conv(hidden_states) + x = F.pixel_shuffle(x, self.factor) + + if self.shortcut: + y = hidden_states.repeat_interleave(self.repeats, dim=1, output_size=hidden_states.shape[1] * self.repeats) + y = F.pixel_shuffle(y, self.factor) + hidden_states = x + y + else: + hidden_states = x + + return hidden_states + + +class Encoder(nn.Module): + def __init__( + self, + in_channels: int, + latent_channels: int, + attention_head_dim: int = 32, + block_type: str or tuple = "ResBlock", + block_out_channels: tuple = (128, 256, 512, 512, 1024, 1024), + layers_per_block: tuple = (2, 2, 2, 2, 2, 2), + qkv_multiscales: tuple = ((), (), (), (5,), (5,), (5,)), + downsample_block_type: str = "pixel_unshuffle", + out_shortcut: bool = True, + ): + super().__init__() + + num_blocks = len(block_out_channels) + + if isinstance(block_type, str): + block_type = (block_type,) * num_blocks + + if layers_per_block[0] > 0: + self.conv_in = ops.Conv2d( + in_channels, + block_out_channels[0] if layers_per_block[0] > 0 else block_out_channels[1], + kernel_size=3, + stride=1, + padding=1, + ) + else: + self.conv_in = DCDownBlock2d( + in_channels=in_channels, + out_channels=block_out_channels[0] if layers_per_block[0] > 0 else block_out_channels[1], + downsample=downsample_block_type == "pixel_unshuffle", + shortcut=False, + ) + + down_blocks = [] + for i, (out_channel, num_layers) in enumerate(zip(block_out_channels, layers_per_block)): + down_block_list = [] + + for _ in range(num_layers): + block = get_block( + block_type[i], + out_channel, + out_channel, + attention_head_dim=attention_head_dim, + norm_type="rms_norm", + act_fn="silu", + qkv_mutliscales=qkv_multiscales[i], + ) + down_block_list.append(block) + + if i < num_blocks - 1 and num_layers > 0: + downsample_block = DCDownBlock2d( + in_channels=out_channel, + out_channels=block_out_channels[i + 1], + downsample=downsample_block_type == "pixel_unshuffle", + shortcut=True, + ) + down_block_list.append(downsample_block) + + down_blocks.append(nn.Sequential(*down_block_list)) + + self.down_blocks = nn.ModuleList(down_blocks) + + self.conv_out = ops.Conv2d(block_out_channels[-1], latent_channels, 3, 1, 1) + + self.out_shortcut = out_shortcut + if out_shortcut: + self.out_shortcut_average_group_size = block_out_channels[-1] // latent_channels + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + hidden_states = self.conv_in(hidden_states) + for down_block in self.down_blocks: + hidden_states = down_block(hidden_states) + + if self.out_shortcut: + x = hidden_states.unflatten(1, (-1, self.out_shortcut_average_group_size)) + x = x.mean(dim=2) + hidden_states = self.conv_out(hidden_states) + x + else: + hidden_states = self.conv_out(hidden_states) + + return hidden_states + + +class Decoder(nn.Module): + def __init__( + self, + in_channels: int, + latent_channels: int, + attention_head_dim: int = 32, + block_type: str or tuple = "ResBlock", + block_out_channels: tuple = (128, 256, 512, 512, 1024, 1024), + layers_per_block: tuple = (2, 2, 2, 2, 2, 2), + qkv_multiscales: tuple = ((), (), (), (5,), (5,), (5,)), + norm_type: str or tuple = "rms_norm", + act_fn: str or tuple = "silu", + upsample_block_type: str = "pixel_shuffle", + in_shortcut: bool = True, + ): + super().__init__() + + num_blocks = len(block_out_channels) + + if isinstance(block_type, str): + block_type = (block_type,) * num_blocks + if isinstance(norm_type, str): + norm_type = (norm_type,) * num_blocks + if isinstance(act_fn, str): + act_fn = (act_fn,) * num_blocks + + self.conv_in = ops.Conv2d(latent_channels, block_out_channels[-1], 3, 1, 1) + + self.in_shortcut = in_shortcut + if in_shortcut: + self.in_shortcut_repeats = block_out_channels[-1] // latent_channels + + up_blocks = [] + for i, (out_channel, num_layers) in reversed(list(enumerate(zip(block_out_channels, layers_per_block)))): + up_block_list = [] + + if i < num_blocks - 1 and num_layers > 0: + upsample_block = DCUpBlock2d( + block_out_channels[i + 1], + out_channel, + interpolate=upsample_block_type == "interpolate", + shortcut=True, + ) + up_block_list.append(upsample_block) + + for _ in range(num_layers): + block = get_block( + block_type[i], + out_channel, + out_channel, + attention_head_dim=attention_head_dim, + norm_type=norm_type[i], + act_fn=act_fn[i], + qkv_mutliscales=qkv_multiscales[i], + ) + up_block_list.append(block) + + up_blocks.insert(0, nn.Sequential(*up_block_list)) + + self.up_blocks = nn.ModuleList(up_blocks) + + channels = block_out_channels[0] if layers_per_block[0] > 0 else block_out_channels[1] + + self.norm_out = RMSNorm(channels, 1e-5, elementwise_affine=True, bias=True) + self.conv_act = nn.ReLU() + self.conv_out = None + + if layers_per_block[0] > 0: + self.conv_out = ops.Conv2d(channels, in_channels, 3, 1, 1) + else: + self.conv_out = DCUpBlock2d( + channels, in_channels, interpolate=upsample_block_type == "interpolate", shortcut=False + ) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + if self.in_shortcut: + x = hidden_states.repeat_interleave( + self.in_shortcut_repeats, dim=1, output_size=hidden_states.shape[1] * self.in_shortcut_repeats + ) + hidden_states = self.conv_in(hidden_states) + x + else: + hidden_states = self.conv_in(hidden_states) + + for up_block in reversed(self.up_blocks): + hidden_states = up_block(hidden_states) + + hidden_states = self.norm_out(hidden_states.movedim(1, -1)).movedim(-1, 1) + hidden_states = self.conv_act(hidden_states) + hidden_states = self.conv_out(hidden_states) + return hidden_states + + +class AutoencoderDC(nn.Module): + def __init__( + self, + in_channels: int = 2, + latent_channels: int = 8, + attention_head_dim: int = 32, + encoder_block_types: Union[str, Tuple[str]] = ["ResBlock", "ResBlock", "ResBlock", "EfficientViTBlock"], + decoder_block_types: Union[str, Tuple[str]] = ["ResBlock", "ResBlock", "ResBlock", "EfficientViTBlock"], + encoder_block_out_channels: Tuple[int, ...] = (128, 256, 512, 1024), + decoder_block_out_channels: Tuple[int, ...] = (128, 256, 512, 1024), + encoder_layers_per_block: Tuple[int] = (2, 2, 3, 3), + decoder_layers_per_block: Tuple[int] = (3, 3, 3, 3), + encoder_qkv_multiscales: Tuple[Tuple[int, ...], ...] = ((), (), (5,), (5,)), + decoder_qkv_multiscales: Tuple[Tuple[int, ...], ...] = ((), (), (5,), (5,)), + upsample_block_type: str = "interpolate", + downsample_block_type: str = "Conv", + decoder_norm_types: Union[str, Tuple[str]] = "rms_norm", + decoder_act_fns: Union[str, Tuple[str]] = "silu", + scaling_factor: float = 0.41407, + ) -> None: + super().__init__() + + self.encoder = Encoder( + in_channels=in_channels, + latent_channels=latent_channels, + attention_head_dim=attention_head_dim, + block_type=encoder_block_types, + block_out_channels=encoder_block_out_channels, + layers_per_block=encoder_layers_per_block, + qkv_multiscales=encoder_qkv_multiscales, + downsample_block_type=downsample_block_type, + ) + + self.decoder = Decoder( + in_channels=in_channels, + latent_channels=latent_channels, + attention_head_dim=attention_head_dim, + block_type=decoder_block_types, + block_out_channels=decoder_block_out_channels, + layers_per_block=decoder_layers_per_block, + qkv_multiscales=decoder_qkv_multiscales, + norm_type=decoder_norm_types, + act_fn=decoder_act_fns, + upsample_block_type=upsample_block_type, + ) + + self.scaling_factor = scaling_factor + self.spatial_compression_ratio = 2 ** (len(encoder_block_out_channels) - 1) + + def encode(self, x: torch.Tensor) -> torch.Tensor: + """Internal encoding function.""" + encoded = self.encoder(x) + return encoded * self.scaling_factor + + def decode(self, z: torch.Tensor) -> torch.Tensor: + # Scale the latents back + z = z / self.scaling_factor + decoded = self.decoder(z) + return decoded + + def forward(self, x: torch.Tensor) -> torch.Tensor: + z = self.encode(x) + return self.decode(z) + diff --git a/comfy/ldm/ace/vae/music_dcae_pipeline.py b/comfy/ldm/ace/vae/music_dcae_pipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..af81280eb0dd5fce49c0aa4b86a4f0feb841b3fd --- /dev/null +++ b/comfy/ldm/ace/vae/music_dcae_pipeline.py @@ -0,0 +1,109 @@ +# Original from: https://github.com/ace-step/ACE-Step/blob/main/music_dcae/music_dcae_pipeline.py +import torch +from .autoencoder_dc import AutoencoderDC +import logging +try: + import torchaudio +except: + logging.warning("torchaudio missing, ACE model will be broken") + +import torchvision.transforms as transforms +from .music_vocoder import ADaMoSHiFiGANV1 + + +class MusicDCAE(torch.nn.Module): + def __init__(self, source_sample_rate=None, dcae_config={}, vocoder_config={}): + super(MusicDCAE, self).__init__() + + self.dcae = AutoencoderDC(**dcae_config) + self.vocoder = ADaMoSHiFiGANV1(**vocoder_config) + + if source_sample_rate is None: + self.source_sample_rate = 48000 + else: + self.source_sample_rate = source_sample_rate + + # self.resampler = torchaudio.transforms.Resample(source_sample_rate, 44100) + + self.transform = transforms.Compose([ + transforms.Normalize(0.5, 0.5), + ]) + self.min_mel_value = -11.0 + self.max_mel_value = 3.0 + self.audio_chunk_size = int(round((1024 * 512 / 44100 * 48000))) + self.mel_chunk_size = 1024 + self.time_dimention_multiple = 8 + self.latent_chunk_size = self.mel_chunk_size // self.time_dimention_multiple + self.scale_factor = 0.1786 + self.shift_factor = -1.9091 + + def load_audio(self, audio_path): + audio, sr = torchaudio.load(audio_path) + return audio, sr + + def forward_mel(self, audios): + mels = [] + for i in range(len(audios)): + image = self.vocoder.mel_transform(audios[i]) + mels.append(image) + mels = torch.stack(mels) + return mels + + @torch.no_grad() + def encode(self, audios, audio_lengths=None, sr=None): + if audio_lengths is None: + audio_lengths = torch.tensor([audios.shape[2]] * audios.shape[0]) + audio_lengths = audio_lengths.to(audios.device) + + if sr is None: + sr = self.source_sample_rate + + if sr != 44100: + audios = torchaudio.functional.resample(audios, sr, 44100) + + max_audio_len = audios.shape[-1] + if max_audio_len % (8 * 512) != 0: + audios = torch.nn.functional.pad(audios, (0, 8 * 512 - max_audio_len % (8 * 512))) + + mels = self.forward_mel(audios) + mels = (mels - self.min_mel_value) / (self.max_mel_value - self.min_mel_value) + mels = self.transform(mels) + latents = [] + for mel in mels: + latent = self.dcae.encoder(mel.unsqueeze(0)) + latents.append(latent) + latents = torch.cat(latents, dim=0) + # latent_lengths = (audio_lengths / sr * 44100 / 512 / self.time_dimention_multiple).long() + latents = (latents - self.shift_factor) * self.scale_factor + return latents + # return latents, latent_lengths + + @torch.no_grad() + def decode(self, latents, audio_lengths=None, sr=None): + latents = latents / self.scale_factor + self.shift_factor + + pred_wavs = [] + + for latent in latents: + mels = self.dcae.decoder(latent.unsqueeze(0)) + mels = mels * 0.5 + 0.5 + mels = mels * (self.max_mel_value - self.min_mel_value) + self.min_mel_value + wav = self.vocoder.decode(mels[0]).squeeze(1) + + if sr is not None: + # resampler = torchaudio.transforms.Resample(44100, sr).to(latents.device).to(latents.dtype) + wav = torchaudio.functional.resample(wav, 44100, sr) + # wav = resampler(wav) + else: + sr = 44100 + pred_wavs.append(wav) + + if audio_lengths is not None: + pred_wavs = [wav[:, :length].cpu() for wav, length in zip(pred_wavs, audio_lengths)] + return torch.stack(pred_wavs) + # return sr, pred_wavs + + def forward(self, audios, audio_lengths=None, sr=None): + latents, latent_lengths = self.encode(audios=audios, audio_lengths=audio_lengths, sr=sr) + sr, pred_wavs = self.decode(latents=latents, audio_lengths=audio_lengths, sr=sr) + return sr, pred_wavs, latents, latent_lengths diff --git a/comfy/ldm/ace/vae/music_log_mel.py b/comfy/ldm/ace/vae/music_log_mel.py new file mode 100644 index 0000000000000000000000000000000000000000..9c584eb7fa75ffaab1c3a42184ea75171b2a1d8f --- /dev/null +++ b/comfy/ldm/ace/vae/music_log_mel.py @@ -0,0 +1,113 @@ +# Original from: https://github.com/ace-step/ACE-Step/blob/main/music_dcae/music_log_mel.py +import torch +import torch.nn as nn +from torch import Tensor +import logging +try: + from torchaudio.transforms import MelScale +except: + logging.warning("torchaudio missing, ACE model will be broken") + +import comfy.model_management + +class LinearSpectrogram(nn.Module): + def __init__( + self, + n_fft=2048, + win_length=2048, + hop_length=512, + center=False, + mode="pow2_sqrt", + ): + super().__init__() + + self.n_fft = n_fft + self.win_length = win_length + self.hop_length = hop_length + self.center = center + self.mode = mode + + self.register_buffer("window", torch.hann_window(win_length)) + + def forward(self, y: Tensor) -> Tensor: + if y.ndim == 3: + y = y.squeeze(1) + + y = torch.nn.functional.pad( + y.unsqueeze(1), + ( + (self.win_length - self.hop_length) // 2, + (self.win_length - self.hop_length + 1) // 2, + ), + mode="reflect", + ).squeeze(1) + dtype = y.dtype + spec = torch.stft( + y.float(), + self.n_fft, + hop_length=self.hop_length, + win_length=self.win_length, + window=comfy.model_management.cast_to(self.window, dtype=torch.float32, device=y.device), + center=self.center, + pad_mode="reflect", + normalized=False, + onesided=True, + return_complex=True, + ) + spec = torch.view_as_real(spec) + + if self.mode == "pow2_sqrt": + spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) + spec = spec.to(dtype) + return spec + + +class LogMelSpectrogram(nn.Module): + def __init__( + self, + sample_rate=44100, + n_fft=2048, + win_length=2048, + hop_length=512, + n_mels=128, + center=False, + f_min=0.0, + f_max=None, + ): + super().__init__() + + self.sample_rate = sample_rate + self.n_fft = n_fft + self.win_length = win_length + self.hop_length = hop_length + self.center = center + self.n_mels = n_mels + self.f_min = f_min + self.f_max = f_max or sample_rate // 2 + + self.spectrogram = LinearSpectrogram(n_fft, win_length, hop_length, center) + self.mel_scale = MelScale( + self.n_mels, + self.sample_rate, + self.f_min, + self.f_max, + self.n_fft // 2 + 1, + "slaney", + "slaney", + ) + + def compress(self, x: Tensor) -> Tensor: + return torch.log(torch.clamp(x, min=1e-5)) + + def decompress(self, x: Tensor) -> Tensor: + return torch.exp(x) + + def forward(self, x: Tensor, return_linear: bool = False) -> Tensor: + linear = self.spectrogram(x) + x = self.mel_scale(linear) + x = self.compress(x) + # print(x.shape) + if return_linear: + return x, self.compress(linear) + + return x diff --git a/comfy/ldm/ace/vae/music_vocoder.py b/comfy/ldm/ace/vae/music_vocoder.py new file mode 100644 index 0000000000000000000000000000000000000000..2f989fa86e8c964994886c6a22ed53e742279ec4 --- /dev/null +++ b/comfy/ldm/ace/vae/music_vocoder.py @@ -0,0 +1,538 @@ +# Original from: https://github.com/ace-step/ACE-Step/blob/main/music_dcae/music_vocoder.py +import torch +from torch import nn + +from functools import partial +from math import prod +from typing import Callable, Tuple, List + +import numpy as np +import torch.nn.functional as F +from torch.nn.utils.parametrize import remove_parametrizations as remove_weight_norm + +from .music_log_mel import LogMelSpectrogram + +import comfy.model_management +import comfy.ops +ops = comfy.ops.disable_weight_init + + +def drop_path( + x, drop_prob: float = 0.0, training: bool = False, scale_by_keep: bool = True +): + """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). + + This is the same as the DropConnect impl I created for EfficientNet, etc networks, however, + the original name is misleading as 'Drop Connect' is a different form of dropout in a separate paper... + See discussion: https://github.com/tensorflow/tpu/issues/494#issuecomment-532968956 ... I've opted for + changing the layer and argument names to 'drop path' rather than mix DropConnect as a layer name and use + 'survival rate' as the argument. + + """ # noqa: E501 + + if drop_prob == 0.0 or not training: + return x + keep_prob = 1 - drop_prob + shape = (x.shape[0],) + (1,) * ( + x.ndim - 1 + ) # work with diff dim tensors, not just 2D ConvNets + random_tensor = x.new_empty(shape).bernoulli_(keep_prob) + if keep_prob > 0.0 and scale_by_keep: + random_tensor.div_(keep_prob) + return x * random_tensor + + +class DropPath(nn.Module): + """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).""" # noqa: E501 + + def __init__(self, drop_prob: float = 0.0, scale_by_keep: bool = True): + super(DropPath, self).__init__() + self.drop_prob = drop_prob + self.scale_by_keep = scale_by_keep + + def forward(self, x): + return drop_path(x, self.drop_prob, self.training, self.scale_by_keep) + + def extra_repr(self): + return f"drop_prob={round(self.drop_prob,3):0.3f}" + + +class LayerNorm(nn.Module): + r"""LayerNorm that supports two data formats: channels_last (default) or channels_first. + The ordering of the dimensions in the inputs. channels_last corresponds to inputs with + shape (batch_size, height, width, channels) while channels_first corresponds to inputs + with shape (batch_size, channels, height, width). + """ # noqa: E501 + + def __init__(self, normalized_shape, eps=1e-6, data_format="channels_last"): + super().__init__() + self.weight = nn.Parameter(torch.ones(normalized_shape)) + self.bias = nn.Parameter(torch.zeros(normalized_shape)) + self.eps = eps + self.data_format = data_format + if self.data_format not in ["channels_last", "channels_first"]: + raise NotImplementedError + self.normalized_shape = (normalized_shape,) + + def forward(self, x): + if self.data_format == "channels_last": + return F.layer_norm( + x, self.normalized_shape, comfy.model_management.cast_to(self.weight, dtype=x.dtype, device=x.device), comfy.model_management.cast_to(self.bias, dtype=x.dtype, device=x.device), self.eps + ) + elif self.data_format == "channels_first": + u = x.mean(1, keepdim=True) + s = (x - u).pow(2).mean(1, keepdim=True) + x = (x - u) / torch.sqrt(s + self.eps) + x = comfy.model_management.cast_to(self.weight[:, None], dtype=x.dtype, device=x.device) * x + comfy.model_management.cast_to(self.bias[:, None], dtype=x.dtype, device=x.device) + return x + + +class ConvNeXtBlock(nn.Module): + r"""ConvNeXt Block. There are two equivalent implementations: + (1) DwConv -> LayerNorm (channels_first) -> 1x1 Conv -> GELU -> 1x1 Conv; all in (N, C, H, W) + (2) DwConv -> Permute to (N, H, W, C); LayerNorm (channels_last) -> Linear -> GELU -> Linear; Permute back + We use (2) as we find it slightly faster in PyTorch + + Args: + dim (int): Number of input channels. + drop_path (float): Stochastic depth rate. Default: 0.0 + layer_scale_init_value (float): Init value for Layer Scale. Default: 1e-6. + mlp_ratio (float): Ratio of mlp hidden dim to embedding dim. Default: 4.0. + kernel_size (int): Kernel size for depthwise conv. Default: 7. + dilation (int): Dilation for depthwise conv. Default: 1. + """ # noqa: E501 + + def __init__( + self, + dim: int, + drop_path: float = 0.0, + layer_scale_init_value: float = 1e-6, + mlp_ratio: float = 4.0, + kernel_size: int = 7, + dilation: int = 1, + ): + super().__init__() + + self.dwconv = ops.Conv1d( + dim, + dim, + kernel_size=kernel_size, + padding=int(dilation * (kernel_size - 1) / 2), + groups=dim, + ) # depthwise conv + self.norm = LayerNorm(dim, eps=1e-6) + self.pwconv1 = ops.Linear( + dim, int(mlp_ratio * dim) + ) # pointwise/1x1 convs, implemented with linear layers + self.act = nn.GELU() + self.pwconv2 = ops.Linear(int(mlp_ratio * dim), dim) + self.gamma = ( + nn.Parameter(torch.empty((dim)), requires_grad=False) + if layer_scale_init_value > 0 + else None + ) + self.drop_path = DropPath( + drop_path) if drop_path > 0.0 else nn.Identity() + + def forward(self, x, apply_residual: bool = True): + input = x + + x = self.dwconv(x) + x = x.permute(0, 2, 1) # (N, C, L) -> (N, L, C) + x = self.norm(x) + x = self.pwconv1(x) + x = self.act(x) + x = self.pwconv2(x) + + if self.gamma is not None: + x = comfy.model_management.cast_to(self.gamma, dtype=x.dtype, device=x.device) * x + + x = x.permute(0, 2, 1) # (N, L, C) -> (N, C, L) + x = self.drop_path(x) + + if apply_residual: + x = input + x + + return x + + +class ParallelConvNeXtBlock(nn.Module): + def __init__(self, kernel_sizes: List[int], *args, **kwargs): + super().__init__() + self.blocks = nn.ModuleList( + [ + ConvNeXtBlock(kernel_size=kernel_size, *args, **kwargs) + for kernel_size in kernel_sizes + ] + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + return torch.stack( + [block(x, apply_residual=False) for block in self.blocks] + [x], + dim=1, + ).sum(dim=1) + + +class ConvNeXtEncoder(nn.Module): + def __init__( + self, + input_channels=3, + depths=[3, 3, 9, 3], + dims=[96, 192, 384, 768], + drop_path_rate=0.0, + layer_scale_init_value=1e-6, + kernel_sizes: Tuple[int] = (7,), + ): + super().__init__() + assert len(depths) == len(dims) + + self.channel_layers = nn.ModuleList() + stem = nn.Sequential( + ops.Conv1d( + input_channels, + dims[0], + kernel_size=7, + padding=3, + padding_mode="replicate", + ), + LayerNorm(dims[0], eps=1e-6, data_format="channels_first"), + ) + self.channel_layers.append(stem) + + for i in range(len(depths) - 1): + mid_layer = nn.Sequential( + LayerNorm(dims[i], eps=1e-6, data_format="channels_first"), + ops.Conv1d(dims[i], dims[i + 1], kernel_size=1), + ) + self.channel_layers.append(mid_layer) + + block_fn = ( + partial(ConvNeXtBlock, kernel_size=kernel_sizes[0]) + if len(kernel_sizes) == 1 + else partial(ParallelConvNeXtBlock, kernel_sizes=kernel_sizes) + ) + + self.stages = nn.ModuleList() + drop_path_rates = [ + x.item() for x in torch.linspace(0, drop_path_rate, sum(depths)) + ] + + cur = 0 + for i in range(len(depths)): + stage = nn.Sequential( + *[ + block_fn( + dim=dims[i], + drop_path=drop_path_rates[cur + j], + layer_scale_init_value=layer_scale_init_value, + ) + for j in range(depths[i]) + ] + ) + self.stages.append(stage) + cur += depths[i] + + self.norm = LayerNorm(dims[-1], eps=1e-6, data_format="channels_first") + + def forward( + self, + x: torch.Tensor, + ) -> torch.Tensor: + for channel_layer, stage in zip(self.channel_layers, self.stages): + x = channel_layer(x) + x = stage(x) + + return self.norm(x) + + +def get_padding(kernel_size, dilation=1): + return (kernel_size * dilation - dilation) // 2 + + +class ResBlock1(torch.nn.Module): + def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5)): + super().__init__() + + self.convs1 = nn.ModuleList( + [ + torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[0], + padding=get_padding(kernel_size, dilation[0]), + ) + ), + torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[1], + padding=get_padding(kernel_size, dilation[1]), + ) + ), + torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=dilation[2], + padding=get_padding(kernel_size, dilation[2]), + ) + ), + ] + ) + + self.convs2 = nn.ModuleList( + [ + torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + channels, + channels, + kernel_size, + 1, + dilation=1, + padding=get_padding(kernel_size, 1), + ) + ), + ] + ) + + def forward(self, x): + for c1, c2 in zip(self.convs1, self.convs2): + xt = F.silu(x) + xt = c1(xt) + xt = F.silu(xt) + xt = c2(xt) + x = xt + x + return x + + def remove_weight_norm(self): + for conv in self.convs1: + remove_weight_norm(conv) + for conv in self.convs2: + remove_weight_norm(conv) + + +class HiFiGANGenerator(nn.Module): + def __init__( + self, + *, + hop_length: int = 512, + upsample_rates: Tuple[int] = (8, 8, 2, 2, 2), + upsample_kernel_sizes: Tuple[int] = (16, 16, 8, 2, 2), + resblock_kernel_sizes: Tuple[int] = (3, 7, 11), + resblock_dilation_sizes: Tuple[Tuple[int]] = ( + (1, 3, 5), (1, 3, 5), (1, 3, 5)), + num_mels: int = 128, + upsample_initial_channel: int = 512, + use_template: bool = True, + pre_conv_kernel_size: int = 7, + post_conv_kernel_size: int = 7, + post_activation: Callable = partial(nn.SiLU, inplace=True), + ): + super().__init__() + + assert ( + prod(upsample_rates) == hop_length + ), f"hop_length must be {prod(upsample_rates)}" + + self.conv_pre = torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + num_mels, + upsample_initial_channel, + pre_conv_kernel_size, + 1, + padding=get_padding(pre_conv_kernel_size), + ) + ) + + self.num_upsamples = len(upsample_rates) + self.num_kernels = len(resblock_kernel_sizes) + + self.noise_convs = nn.ModuleList() + self.use_template = use_template + self.ups = nn.ModuleList() + + for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): + c_cur = upsample_initial_channel // (2 ** (i + 1)) + self.ups.append( + torch.nn.utils.parametrizations.weight_norm( + ops.ConvTranspose1d( + upsample_initial_channel // (2**i), + upsample_initial_channel // (2 ** (i + 1)), + k, + u, + padding=(k - u) // 2, + ) + ) + ) + + if not use_template: + continue + + if i + 1 < len(upsample_rates): + stride_f0 = np.prod(upsample_rates[i + 1:]) + self.noise_convs.append( + ops.Conv1d( + 1, + c_cur, + kernel_size=stride_f0 * 2, + stride=stride_f0, + padding=stride_f0 // 2, + ) + ) + else: + self.noise_convs.append(ops.Conv1d(1, c_cur, kernel_size=1)) + + self.resblocks = nn.ModuleList() + for i in range(len(self.ups)): + ch = upsample_initial_channel // (2 ** (i + 1)) + for k, d in zip(resblock_kernel_sizes, resblock_dilation_sizes): + self.resblocks.append(ResBlock1(ch, k, d)) + + self.activation_post = post_activation() + self.conv_post = torch.nn.utils.parametrizations.weight_norm( + ops.Conv1d( + ch, + 1, + post_conv_kernel_size, + 1, + padding=get_padding(post_conv_kernel_size), + ) + ) + + def forward(self, x, template=None): + x = self.conv_pre(x) + + for i in range(self.num_upsamples): + x = F.silu(x, inplace=True) + x = self.ups[i](x) + + if self.use_template: + x = x + self.noise_convs[i](template) + + xs = None + + for j in range(self.num_kernels): + if xs is None: + xs = self.resblocks[i * self.num_kernels + j](x) + else: + xs += self.resblocks[i * self.num_kernels + j](x) + + x = xs / self.num_kernels + + x = self.activation_post(x) + x = self.conv_post(x) + x = torch.tanh(x) + + return x + + def remove_weight_norm(self): + for up in self.ups: + remove_weight_norm(up) + for block in self.resblocks: + block.remove_weight_norm() + remove_weight_norm(self.conv_pre) + remove_weight_norm(self.conv_post) + + +class ADaMoSHiFiGANV1(nn.Module): + def __init__( + self, + input_channels: int = 128, + depths: List[int] = [3, 3, 9, 3], + dims: List[int] = [128, 256, 384, 512], + drop_path_rate: float = 0.0, + kernel_sizes: Tuple[int] = (7,), + upsample_rates: Tuple[int] = (4, 4, 2, 2, 2, 2, 2), + upsample_kernel_sizes: Tuple[int] = (8, 8, 4, 4, 4, 4, 4), + resblock_kernel_sizes: Tuple[int] = (3, 7, 11, 13), + resblock_dilation_sizes: Tuple[Tuple[int]] = ( + (1, 3, 5), (1, 3, 5), (1, 3, 5), (1, 3, 5)), + num_mels: int = 512, + upsample_initial_channel: int = 1024, + use_template: bool = False, + pre_conv_kernel_size: int = 13, + post_conv_kernel_size: int = 13, + sampling_rate: int = 44100, + n_fft: int = 2048, + win_length: int = 2048, + hop_length: int = 512, + f_min: int = 40, + f_max: int = 16000, + n_mels: int = 128, + ): + super().__init__() + + self.backbone = ConvNeXtEncoder( + input_channels=input_channels, + depths=depths, + dims=dims, + drop_path_rate=drop_path_rate, + kernel_sizes=kernel_sizes, + ) + + self.head = HiFiGANGenerator( + hop_length=hop_length, + upsample_rates=upsample_rates, + upsample_kernel_sizes=upsample_kernel_sizes, + resblock_kernel_sizes=resblock_kernel_sizes, + resblock_dilation_sizes=resblock_dilation_sizes, + num_mels=num_mels, + upsample_initial_channel=upsample_initial_channel, + use_template=use_template, + pre_conv_kernel_size=pre_conv_kernel_size, + post_conv_kernel_size=post_conv_kernel_size, + ) + self.sampling_rate = sampling_rate + self.mel_transform = LogMelSpectrogram( + sample_rate=sampling_rate, + n_fft=n_fft, + win_length=win_length, + hop_length=hop_length, + f_min=f_min, + f_max=f_max, + n_mels=n_mels, + ) + self.eval() + + @torch.no_grad() + def decode(self, mel): + y = self.backbone(mel) + y = self.head(y) + return y + + @torch.no_grad() + def encode(self, x): + return self.mel_transform(x) + + def forward(self, mel): + y = self.backbone(mel) + y = self.head(y) + return y diff --git a/comfy/ldm/audio/autoencoder.py b/comfy/ldm/audio/autoencoder.py new file mode 100644 index 0000000000000000000000000000000000000000..78ed6ffa63ab9fca66ba009709bb262a18830dcd --- /dev/null +++ b/comfy/ldm/audio/autoencoder.py @@ -0,0 +1,276 @@ +# code adapted from: https://github.com/Stability-AI/stable-audio-tools + +import torch +from torch import nn +from typing import Literal +import math +import comfy.ops +ops = comfy.ops.disable_weight_init + +def vae_sample(mean, scale): + stdev = nn.functional.softplus(scale) + 1e-4 + var = stdev * stdev + logvar = torch.log(var) + latents = torch.randn_like(mean) * stdev + mean + + kl = (mean * mean + var - logvar - 1).sum(1).mean() + + return latents, kl + +class VAEBottleneck(nn.Module): + def __init__(self): + super().__init__() + self.is_discrete = False + + def encode(self, x, return_info=False, **kwargs): + info = {} + + mean, scale = x.chunk(2, dim=1) + + x, kl = vae_sample(mean, scale) + + info["kl"] = kl + + if return_info: + return x, info + else: + return x + + def decode(self, x): + return x + + +def snake_beta(x, alpha, beta): + return x + (1.0 / (beta + 0.000000001)) * pow(torch.sin(x * alpha), 2) + +# Adapted from https://github.com/NVIDIA/BigVGAN/blob/main/activations.py under MIT license +class SnakeBeta(nn.Module): + + def __init__(self, in_features, alpha=1.0, alpha_trainable=True, alpha_logscale=True): + super(SnakeBeta, self).__init__() + self.in_features = in_features + + # initialize alpha + self.alpha_logscale = alpha_logscale + if self.alpha_logscale: # log scale alphas initialized to zeros + self.alpha = nn.Parameter(torch.zeros(in_features) * alpha) + self.beta = nn.Parameter(torch.zeros(in_features) * alpha) + else: # linear scale alphas initialized to ones + self.alpha = nn.Parameter(torch.ones(in_features) * alpha) + self.beta = nn.Parameter(torch.ones(in_features) * alpha) + + # self.alpha.requires_grad = alpha_trainable + # self.beta.requires_grad = alpha_trainable + + self.no_div_by_zero = 0.000000001 + + def forward(self, x): + alpha = self.alpha.unsqueeze(0).unsqueeze(-1).to(x.device) # line up with x to [B, C, T] + beta = self.beta.unsqueeze(0).unsqueeze(-1).to(x.device) + if self.alpha_logscale: + alpha = torch.exp(alpha) + beta = torch.exp(beta) + x = snake_beta(x, alpha, beta) + + return x + +def WNConv1d(*args, **kwargs): + return torch.nn.utils.parametrizations.weight_norm(ops.Conv1d(*args, **kwargs)) + +def WNConvTranspose1d(*args, **kwargs): + return torch.nn.utils.parametrizations.weight_norm(ops.ConvTranspose1d(*args, **kwargs)) + +def get_activation(activation: Literal["elu", "snake", "none"], antialias=False, channels=None) -> nn.Module: + if activation == "elu": + act = torch.nn.ELU() + elif activation == "snake": + act = SnakeBeta(channels) + elif activation == "none": + act = torch.nn.Identity() + else: + raise ValueError(f"Unknown activation {activation}") + + if antialias: + act = Activation1d(act) # noqa: F821 Activation1d is not defined + + return act + + +class ResidualUnit(nn.Module): + def __init__(self, in_channels, out_channels, dilation, use_snake=False, antialias_activation=False): + super().__init__() + + self.dilation = dilation + + padding = (dilation * (7-1)) // 2 + + self.layers = nn.Sequential( + get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=out_channels), + WNConv1d(in_channels=in_channels, out_channels=out_channels, + kernel_size=7, dilation=dilation, padding=padding), + get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=out_channels), + WNConv1d(in_channels=out_channels, out_channels=out_channels, + kernel_size=1) + ) + + def forward(self, x): + res = x + + #x = checkpoint(self.layers, x) + x = self.layers(x) + + return x + res + +class EncoderBlock(nn.Module): + def __init__(self, in_channels, out_channels, stride, use_snake=False, antialias_activation=False): + super().__init__() + + self.layers = nn.Sequential( + ResidualUnit(in_channels=in_channels, + out_channels=in_channels, dilation=1, use_snake=use_snake), + ResidualUnit(in_channels=in_channels, + out_channels=in_channels, dilation=3, use_snake=use_snake), + ResidualUnit(in_channels=in_channels, + out_channels=in_channels, dilation=9, use_snake=use_snake), + get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=in_channels), + WNConv1d(in_channels=in_channels, out_channels=out_channels, + kernel_size=2*stride, stride=stride, padding=math.ceil(stride/2)), + ) + + def forward(self, x): + return self.layers(x) + +class DecoderBlock(nn.Module): + def __init__(self, in_channels, out_channels, stride, use_snake=False, antialias_activation=False, use_nearest_upsample=False): + super().__init__() + + if use_nearest_upsample: + upsample_layer = nn.Sequential( + nn.Upsample(scale_factor=stride, mode="nearest"), + WNConv1d(in_channels=in_channels, + out_channels=out_channels, + kernel_size=2*stride, + stride=1, + bias=False, + padding='same') + ) + else: + upsample_layer = WNConvTranspose1d(in_channels=in_channels, + out_channels=out_channels, + kernel_size=2*stride, stride=stride, padding=math.ceil(stride/2)) + + self.layers = nn.Sequential( + get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=in_channels), + upsample_layer, + ResidualUnit(in_channels=out_channels, out_channels=out_channels, + dilation=1, use_snake=use_snake), + ResidualUnit(in_channels=out_channels, out_channels=out_channels, + dilation=3, use_snake=use_snake), + ResidualUnit(in_channels=out_channels, out_channels=out_channels, + dilation=9, use_snake=use_snake), + ) + + def forward(self, x): + return self.layers(x) + +class OobleckEncoder(nn.Module): + def __init__(self, + in_channels=2, + channels=128, + latent_dim=32, + c_mults = [1, 2, 4, 8], + strides = [2, 4, 8, 8], + use_snake=False, + antialias_activation=False + ): + super().__init__() + + c_mults = [1] + c_mults + + self.depth = len(c_mults) + + layers = [ + WNConv1d(in_channels=in_channels, out_channels=c_mults[0] * channels, kernel_size=7, padding=3) + ] + + for i in range(self.depth-1): + layers += [EncoderBlock(in_channels=c_mults[i]*channels, out_channels=c_mults[i+1]*channels, stride=strides[i], use_snake=use_snake)] + + layers += [ + get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=c_mults[-1] * channels), + WNConv1d(in_channels=c_mults[-1]*channels, out_channels=latent_dim, kernel_size=3, padding=1) + ] + + self.layers = nn.Sequential(*layers) + + def forward(self, x): + return self.layers(x) + + +class OobleckDecoder(nn.Module): + def __init__(self, + out_channels=2, + channels=128, + latent_dim=32, + c_mults = [1, 2, 4, 8], + strides = [2, 4, 8, 8], + use_snake=False, + antialias_activation=False, + use_nearest_upsample=False, + final_tanh=True): + super().__init__() + + c_mults = [1] + c_mults + + self.depth = len(c_mults) + + layers = [ + WNConv1d(in_channels=latent_dim, out_channels=c_mults[-1]*channels, kernel_size=7, padding=3), + ] + + for i in range(self.depth-1, 0, -1): + layers += [DecoderBlock( + in_channels=c_mults[i]*channels, + out_channels=c_mults[i-1]*channels, + stride=strides[i-1], + use_snake=use_snake, + antialias_activation=antialias_activation, + use_nearest_upsample=use_nearest_upsample + ) + ] + + layers += [ + get_activation("snake" if use_snake else "elu", antialias=antialias_activation, channels=c_mults[0] * channels), + WNConv1d(in_channels=c_mults[0] * channels, out_channels=out_channels, kernel_size=7, padding=3, bias=False), + nn.Tanh() if final_tanh else nn.Identity() + ] + + self.layers = nn.Sequential(*layers) + + def forward(self, x): + return self.layers(x) + + +class AudioOobleckVAE(nn.Module): + def __init__(self, + in_channels=2, + channels=128, + latent_dim=64, + c_mults = [1, 2, 4, 8, 16], + strides = [2, 4, 4, 8, 8], + use_snake=True, + antialias_activation=False, + use_nearest_upsample=False, + final_tanh=False): + super().__init__() + self.encoder = OobleckEncoder(in_channels, channels, latent_dim * 2, c_mults, strides, use_snake, antialias_activation) + self.decoder = OobleckDecoder(in_channels, channels, latent_dim, c_mults, strides, use_snake, antialias_activation, + use_nearest_upsample=use_nearest_upsample, final_tanh=final_tanh) + self.bottleneck = VAEBottleneck() + + def encode(self, x): + return self.bottleneck.encode(self.encoder(x)) + + def decode(self, x): + return self.decoder(self.bottleneck.decode(x)) + diff --git a/comfy/ldm/audio/dit.py b/comfy/ldm/audio/dit.py new file mode 100644 index 0000000000000000000000000000000000000000..ca865189e351948e574877dcd9a94312ff7cb86a --- /dev/null +++ b/comfy/ldm/audio/dit.py @@ -0,0 +1,899 @@ +# code adapted from: https://github.com/Stability-AI/stable-audio-tools + +from comfy.ldm.modules.attention import optimized_attention +import typing as tp + +import torch + +from einops import rearrange +from torch import nn +from torch.nn import functional as F +import math +import comfy.ops + +class FourierFeatures(nn.Module): + def __init__(self, in_features, out_features, std=1., dtype=None, device=None): + super().__init__() + assert out_features % 2 == 0 + self.weight = nn.Parameter(torch.empty( + [out_features // 2, in_features], dtype=dtype, device=device)) + + def forward(self, input): + f = 2 * math.pi * input @ comfy.ops.cast_to_input(self.weight.T, input) + return torch.cat([f.cos(), f.sin()], dim=-1) + +# norms +class LayerNorm(nn.Module): + def __init__(self, dim, bias=False, fix_scale=False, dtype=None, device=None): + """ + bias-less layernorm has been shown to be more stable. most newer models have moved towards rmsnorm, also bias-less + """ + super().__init__() + + self.gamma = nn.Parameter(torch.empty(dim, dtype=dtype, device=device)) + + if bias: + self.beta = nn.Parameter(torch.empty(dim, dtype=dtype, device=device)) + else: + self.beta = None + + def forward(self, x): + beta = self.beta + if beta is not None: + beta = comfy.ops.cast_to_input(beta, x) + return F.layer_norm(x, x.shape[-1:], weight=comfy.ops.cast_to_input(self.gamma, x), bias=beta) + +class GLU(nn.Module): + def __init__( + self, + dim_in, + dim_out, + activation, + use_conv = False, + conv_kernel_size = 3, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.act = activation + self.proj = operations.Linear(dim_in, dim_out * 2, dtype=dtype, device=device) if not use_conv else operations.Conv1d(dim_in, dim_out * 2, conv_kernel_size, padding = (conv_kernel_size // 2), dtype=dtype, device=device) + self.use_conv = use_conv + + def forward(self, x): + if self.use_conv: + x = rearrange(x, 'b n d -> b d n') + x = self.proj(x) + x = rearrange(x, 'b d n -> b n d') + else: + x = self.proj(x) + + x, gate = x.chunk(2, dim = -1) + return x * self.act(gate) + +class AbsolutePositionalEmbedding(nn.Module): + def __init__(self, dim, max_seq_len): + super().__init__() + self.scale = dim ** -0.5 + self.max_seq_len = max_seq_len + self.emb = nn.Embedding(max_seq_len, dim) + + def forward(self, x, pos = None, seq_start_pos = None): + seq_len, device = x.shape[1], x.device + assert seq_len <= self.max_seq_len, f'you are passing in a sequence length of {seq_len} but your absolute positional embedding has a max sequence length of {self.max_seq_len}' + + if pos is None: + pos = torch.arange(seq_len, device = device) + + if seq_start_pos is not None: + pos = (pos - seq_start_pos[..., None]).clamp(min = 0) + + pos_emb = self.emb(pos) + pos_emb = pos_emb * self.scale + return pos_emb + +class ScaledSinusoidalEmbedding(nn.Module): + def __init__(self, dim, theta = 10000): + super().__init__() + assert (dim % 2) == 0, 'dimension must be divisible by 2' + self.scale = nn.Parameter(torch.ones(1) * dim ** -0.5) + + half_dim = dim // 2 + freq_seq = torch.arange(half_dim).float() / half_dim + inv_freq = theta ** -freq_seq + self.register_buffer('inv_freq', inv_freq, persistent = False) + + def forward(self, x, pos = None, seq_start_pos = None): + seq_len, device = x.shape[1], x.device + + if pos is None: + pos = torch.arange(seq_len, device = device) + + if seq_start_pos is not None: + pos = pos - seq_start_pos[..., None] + + emb = torch.einsum('i, j -> i j', pos, self.inv_freq) + emb = torch.cat((emb.sin(), emb.cos()), dim = -1) + return emb * self.scale + +class RotaryEmbedding(nn.Module): + def __init__( + self, + dim, + use_xpos = False, + scale_base = 512, + interpolation_factor = 1., + base = 10000, + base_rescale_factor = 1., + dtype=None, + device=None, + ): + super().__init__() + # proposed by reddit user bloc97, to rescale rotary embeddings to longer sequence length without fine-tuning + # has some connection to NTK literature + # https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/ + base *= base_rescale_factor ** (dim / (dim - 2)) + + # inv_freq = 1. / (base ** (torch.arange(0, dim, 2).float() / dim)) + self.register_buffer('inv_freq', torch.empty((dim // 2,), device=device, dtype=dtype)) + + assert interpolation_factor >= 1. + self.interpolation_factor = interpolation_factor + + if not use_xpos: + self.register_buffer('scale', None) + return + + scale = (torch.arange(0, dim, 2) + 0.4 * dim) / (1.4 * dim) + + self.scale_base = scale_base + self.register_buffer('scale', scale) + + def forward_from_seq_len(self, seq_len, device, dtype): + # device = self.inv_freq.device + + t = torch.arange(seq_len, device=device, dtype=dtype) + return self.forward(t) + + def forward(self, t): + # device = self.inv_freq.device + device = t.device + + # t = t.to(torch.float32) + + t = t / self.interpolation_factor + + freqs = torch.einsum('i , j -> i j', t, comfy.ops.cast_to_input(self.inv_freq, t)) + freqs = torch.cat((freqs, freqs), dim = -1) + + if self.scale is None: + return freqs, 1. + + power = (torch.arange(seq_len, device = device) - (seq_len // 2)) / self.scale_base # noqa: F821 seq_len is not defined + scale = comfy.ops.cast_to_input(self.scale, t) ** rearrange(power, 'n -> n 1') + scale = torch.cat((scale, scale), dim = -1) + + return freqs, scale + +def rotate_half(x): + x = rearrange(x, '... (j d) -> ... j d', j = 2) + x1, x2 = x.unbind(dim = -2) + return torch.cat((-x2, x1), dim = -1) + +def apply_rotary_pos_emb(t, freqs, scale = 1): + out_dtype = t.dtype + + # cast to float32 if necessary for numerical stability + dtype = t.dtype #reduce(torch.promote_types, (t.dtype, freqs.dtype, torch.float32)) + rot_dim, seq_len = freqs.shape[-1], t.shape[-2] + freqs, t = freqs.to(dtype), t.to(dtype) + freqs = freqs[-seq_len:, :] + + if t.ndim == 4 and freqs.ndim == 3: + freqs = rearrange(freqs, 'b n d -> b 1 n d') + + # partial rotary embeddings, Wang et al. GPT-J + t, t_unrotated = t[..., :rot_dim], t[..., rot_dim:] + t = (t * freqs.cos() * scale) + (rotate_half(t) * freqs.sin() * scale) + + t, t_unrotated = t.to(out_dtype), t_unrotated.to(out_dtype) + + return torch.cat((t, t_unrotated), dim = -1) + +class FeedForward(nn.Module): + def __init__( + self, + dim, + dim_out = None, + mult = 4, + no_bias = False, + glu = True, + use_conv = False, + conv_kernel_size = 3, + zero_init_output = True, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + inner_dim = int(dim * mult) + + # Default to SwiGLU + + activation = nn.SiLU() + + dim_out = dim if dim_out is None else dim_out + + if glu: + linear_in = GLU(dim, inner_dim, activation, dtype=dtype, device=device, operations=operations) + else: + linear_in = nn.Sequential( + rearrange('b n d -> b d n') if use_conv else nn.Identity(), + operations.Linear(dim, inner_dim, bias = not no_bias, dtype=dtype, device=device) if not use_conv else operations.Conv1d(dim, inner_dim, conv_kernel_size, padding = (conv_kernel_size // 2), bias = not no_bias, dtype=dtype, device=device), + rearrange('b n d -> b d n') if use_conv else nn.Identity(), + activation + ) + + linear_out = operations.Linear(inner_dim, dim_out, bias = not no_bias, dtype=dtype, device=device) if not use_conv else operations.Conv1d(inner_dim, dim_out, conv_kernel_size, padding = (conv_kernel_size // 2), bias = not no_bias, dtype=dtype, device=device) + + # # init last linear layer to 0 + # if zero_init_output: + # nn.init.zeros_(linear_out.weight) + # if not no_bias: + # nn.init.zeros_(linear_out.bias) + + + self.ff = nn.Sequential( + linear_in, + rearrange('b d n -> b n d') if use_conv else nn.Identity(), + linear_out, + rearrange('b n d -> b d n') if use_conv else nn.Identity(), + ) + + def forward(self, x): + return self.ff(x) + +class Attention(nn.Module): + def __init__( + self, + dim, + dim_heads = 64, + dim_context = None, + causal = False, + zero_init_output=True, + qk_norm = False, + natten_kernel_size = None, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.dim = dim + self.dim_heads = dim_heads + self.causal = causal + + dim_kv = dim_context if dim_context is not None else dim + + self.num_heads = dim // dim_heads + self.kv_heads = dim_kv // dim_heads + + if dim_context is not None: + self.to_q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.to_kv = operations.Linear(dim_kv, dim_kv * 2, bias=False, dtype=dtype, device=device) + else: + self.to_qkv = operations.Linear(dim, dim * 3, bias=False, dtype=dtype, device=device) + + self.to_out = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + + # if zero_init_output: + # nn.init.zeros_(self.to_out.weight) + + self.qk_norm = qk_norm + + + def forward( + self, + x, + context = None, + mask = None, + context_mask = None, + rotary_pos_emb = None, + causal = None, + transformer_options={}, + ): + h, kv_h, has_context = self.num_heads, self.kv_heads, context is not None + + kv_input = context if has_context else x + + if hasattr(self, 'to_q'): + # Use separate linear projections for q and k/v + q = self.to_q(x) + q = rearrange(q, 'b n (h d) -> b h n d', h = h) + + k, v = self.to_kv(kv_input).chunk(2, dim=-1) + + k, v = map(lambda t: rearrange(t, 'b n (h d) -> b h n d', h = kv_h), (k, v)) + else: + # Use fused linear projection + q, k, v = self.to_qkv(x).chunk(3, dim=-1) + q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> b h n d', h = h), (q, k, v)) + + # Normalize q and k for cosine sim attention + if self.qk_norm: + q = F.normalize(q, dim=-1) + k = F.normalize(k, dim=-1) + + if rotary_pos_emb is not None and not has_context: + freqs, _ = rotary_pos_emb + + q_dtype = q.dtype + k_dtype = k.dtype + + q = q.to(torch.float32) + k = k.to(torch.float32) + freqs = freqs.to(torch.float32) + + q = apply_rotary_pos_emb(q, freqs) + k = apply_rotary_pos_emb(k, freqs) + + q = q.to(q_dtype) + k = k.to(k_dtype) + + input_mask = context_mask + + if input_mask is None and not has_context: + input_mask = mask + + # determine masking + masks = [] + + if input_mask is not None: + input_mask = rearrange(input_mask, 'b j -> b 1 1 j') + masks.append(~input_mask) + + # Other masks will be added here later + n = q.shape[-2] + + causal = self.causal if causal is None else causal + + if n == 1 and causal: + causal = False + + if h != kv_h: + # Repeat interleave kv_heads to match q_heads + heads_per_kv_head = h // kv_h + k, v = map(lambda t: t.repeat_interleave(heads_per_kv_head, dim = 1), (k, v)) + + out = optimized_attention(q, k, v, h, skip_reshape=True, transformer_options=transformer_options) + out = self.to_out(out) + + if mask is not None: + mask = rearrange(mask, 'b n -> b n 1') + out = out.masked_fill(~mask, 0.) + + return out + +class ConformerModule(nn.Module): + def __init__( + self, + dim, + norm_kwargs = {}, + ): + + super().__init__() + + self.dim = dim + + self.in_norm = LayerNorm(dim, **norm_kwargs) + self.pointwise_conv = nn.Conv1d(dim, dim, kernel_size=1, bias=False) + self.glu = GLU(dim, dim, nn.SiLU()) + self.depthwise_conv = nn.Conv1d(dim, dim, kernel_size=17, groups=dim, padding=8, bias=False) + self.mid_norm = LayerNorm(dim, **norm_kwargs) # This is a batch norm in the original but I don't like batch norm + self.swish = nn.SiLU() + self.pointwise_conv_2 = nn.Conv1d(dim, dim, kernel_size=1, bias=False) + + def forward(self, x): + x = self.in_norm(x) + x = rearrange(x, 'b n d -> b d n') + x = self.pointwise_conv(x) + x = rearrange(x, 'b d n -> b n d') + x = self.glu(x) + x = rearrange(x, 'b n d -> b d n') + x = self.depthwise_conv(x) + x = rearrange(x, 'b d n -> b n d') + x = self.mid_norm(x) + x = self.swish(x) + x = rearrange(x, 'b n d -> b d n') + x = self.pointwise_conv_2(x) + x = rearrange(x, 'b d n -> b n d') + + return x + +class TransformerBlock(nn.Module): + def __init__( + self, + dim, + dim_heads = 64, + cross_attend = False, + dim_context = None, + global_cond_dim = None, + causal = False, + zero_init_branch_outputs = True, + conformer = False, + layer_ix = -1, + remove_norms = False, + attn_kwargs = {}, + ff_kwargs = {}, + norm_kwargs = {}, + dtype=None, + device=None, + operations=None, + ): + + super().__init__() + self.dim = dim + self.dim_heads = dim_heads + self.cross_attend = cross_attend + self.dim_context = dim_context + self.causal = causal + + self.pre_norm = LayerNorm(dim, dtype=dtype, device=device, **norm_kwargs) if not remove_norms else nn.Identity() + + self.self_attn = Attention( + dim, + dim_heads = dim_heads, + causal = causal, + zero_init_output=zero_init_branch_outputs, + dtype=dtype, + device=device, + operations=operations, + **attn_kwargs + ) + + if cross_attend: + self.cross_attend_norm = LayerNorm(dim, dtype=dtype, device=device, **norm_kwargs) if not remove_norms else nn.Identity() + self.cross_attn = Attention( + dim, + dim_heads = dim_heads, + dim_context=dim_context, + causal = causal, + zero_init_output=zero_init_branch_outputs, + dtype=dtype, + device=device, + operations=operations, + **attn_kwargs + ) + + self.ff_norm = LayerNorm(dim, dtype=dtype, device=device, **norm_kwargs) if not remove_norms else nn.Identity() + self.ff = FeedForward(dim, zero_init_output=zero_init_branch_outputs, dtype=dtype, device=device, operations=operations,**ff_kwargs) + + self.layer_ix = layer_ix + + self.conformer = ConformerModule(dim, norm_kwargs=norm_kwargs) if conformer else None + + self.global_cond_dim = global_cond_dim + + if global_cond_dim is not None: + self.to_scale_shift_gate = nn.Sequential( + nn.SiLU(), + nn.Linear(global_cond_dim, dim * 6, bias=False) + ) + + nn.init.zeros_(self.to_scale_shift_gate[1].weight) + #nn.init.zeros_(self.to_scale_shift_gate_self[1].bias) + + def forward( + self, + x, + context = None, + global_cond=None, + mask = None, + context_mask = None, + rotary_pos_emb = None, + transformer_options={} + ): + if self.global_cond_dim is not None and self.global_cond_dim > 0 and global_cond is not None: + + scale_self, shift_self, gate_self, scale_ff, shift_ff, gate_ff = self.to_scale_shift_gate(global_cond).unsqueeze(1).chunk(6, dim = -1) + + # self-attention with adaLN + residual = x + x = self.pre_norm(x) + x = x * (1 + scale_self) + shift_self + x = self.self_attn(x, mask = mask, rotary_pos_emb = rotary_pos_emb, transformer_options=transformer_options) + x = x * torch.sigmoid(1 - gate_self) + x = x + residual + + if context is not None: + x = x + self.cross_attn(self.cross_attend_norm(x), context = context, context_mask = context_mask, transformer_options=transformer_options) + + if self.conformer is not None: + x = x + self.conformer(x) + + # feedforward with adaLN + residual = x + x = self.ff_norm(x) + x = x * (1 + scale_ff) + shift_ff + x = self.ff(x) + x = x * torch.sigmoid(1 - gate_ff) + x = x + residual + + else: + x = x + self.self_attn(self.pre_norm(x), mask = mask, rotary_pos_emb = rotary_pos_emb, transformer_options=transformer_options) + + if context is not None: + x = x + self.cross_attn(self.cross_attend_norm(x), context = context, context_mask = context_mask, transformer_options=transformer_options) + + if self.conformer is not None: + x = x + self.conformer(x) + + x = x + self.ff(self.ff_norm(x)) + + return x + +class ContinuousTransformer(nn.Module): + def __init__( + self, + dim, + depth, + *, + dim_in = None, + dim_out = None, + dim_heads = 64, + cross_attend=False, + cond_token_dim=None, + global_cond_dim=None, + causal=False, + rotary_pos_emb=True, + zero_init_branch_outputs=True, + conformer=False, + use_sinusoidal_emb=False, + use_abs_pos_emb=False, + abs_pos_emb_max_length=10000, + dtype=None, + device=None, + operations=None, + **kwargs + ): + + super().__init__() + + self.dim = dim + self.depth = depth + self.causal = causal + self.layers = nn.ModuleList([]) + + self.project_in = operations.Linear(dim_in, dim, bias=False, dtype=dtype, device=device) if dim_in is not None else nn.Identity() + self.project_out = operations.Linear(dim, dim_out, bias=False, dtype=dtype, device=device) if dim_out is not None else nn.Identity() + + if rotary_pos_emb: + self.rotary_pos_emb = RotaryEmbedding(max(dim_heads // 2, 32), device=device, dtype=dtype) + else: + self.rotary_pos_emb = None + + self.use_sinusoidal_emb = use_sinusoidal_emb + if use_sinusoidal_emb: + self.pos_emb = ScaledSinusoidalEmbedding(dim) + + self.use_abs_pos_emb = use_abs_pos_emb + if use_abs_pos_emb: + self.pos_emb = AbsolutePositionalEmbedding(dim, abs_pos_emb_max_length) + + for i in range(depth): + self.layers.append( + TransformerBlock( + dim, + dim_heads = dim_heads, + cross_attend = cross_attend, + dim_context = cond_token_dim, + global_cond_dim = global_cond_dim, + causal = causal, + zero_init_branch_outputs = zero_init_branch_outputs, + conformer=conformer, + layer_ix=i, + dtype=dtype, + device=device, + operations=operations, + **kwargs + ) + ) + + def forward( + self, + x, + mask = None, + prepend_embeds = None, + prepend_mask = None, + global_cond = None, + return_info = False, + **kwargs + ): + transformer_options = kwargs.get("transformer_options", {}) + patches_replace = transformer_options.get("patches_replace", {}) + batch, seq, device = *x.shape[:2], x.device + context = kwargs["context"] + + info = { + "hidden_states": [], + } + + x = self.project_in(x) + + if prepend_embeds is not None: + prepend_length, prepend_dim = prepend_embeds.shape[1:] + + assert prepend_dim == x.shape[-1], 'prepend dimension must match sequence dimension' + + x = torch.cat((prepend_embeds, x), dim = -2) + + if prepend_mask is not None or mask is not None: + mask = mask if mask is not None else torch.ones((batch, seq), device = device, dtype = torch.bool) + prepend_mask = prepend_mask if prepend_mask is not None else torch.ones((batch, prepend_length), device = device, dtype = torch.bool) + + mask = torch.cat((prepend_mask, mask), dim = -1) + + # Attention layers + + if self.rotary_pos_emb is not None: + rotary_pos_emb = self.rotary_pos_emb.forward_from_seq_len(x.shape[1], dtype=torch.float, device=x.device) + else: + rotary_pos_emb = None + + if self.use_sinusoidal_emb or self.use_abs_pos_emb: + x = x + self.pos_emb(x) + + blocks_replace = patches_replace.get("dit", {}) + # Iterate over the transformer layers + for i, layer in enumerate(self.layers): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = layer(args["img"], rotary_pos_emb=args["pe"], global_cond=args["vec"], context=args["txt"], transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": global_cond, "pe": rotary_pos_emb, "transformer_options": transformer_options}, {"original_block": block_wrap}) + x = out["img"] + else: + x = layer(x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, context=context, transformer_options=transformer_options) + # x = checkpoint(layer, x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, **kwargs) + + if return_info: + info["hidden_states"].append(x) + + x = self.project_out(x) + + if return_info: + return x, info + + return x + +class AudioDiffusionTransformer(nn.Module): + def __init__(self, + io_channels=64, + patch_size=1, + embed_dim=1536, + cond_token_dim=768, + project_cond_tokens=False, + global_cond_dim=1536, + project_global_cond=True, + input_concat_dim=0, + prepend_cond_dim=0, + depth=24, + num_heads=24, + transformer_type: tp.Literal["continuous_transformer"] = "continuous_transformer", + global_cond_type: tp.Literal["prepend", "adaLN"] = "prepend", + audio_model="", + dtype=None, + device=None, + operations=None, + **kwargs): + + super().__init__() + + self.dtype = dtype + self.cond_token_dim = cond_token_dim + + # Timestep embeddings + timestep_features_dim = 256 + + self.timestep_features = FourierFeatures(1, timestep_features_dim, dtype=dtype, device=device) + + self.to_timestep_embed = nn.Sequential( + operations.Linear(timestep_features_dim, embed_dim, bias=True, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device), + ) + + if cond_token_dim > 0: + # Conditioning tokens + + cond_embed_dim = cond_token_dim if not project_cond_tokens else embed_dim + self.to_cond_embed = nn.Sequential( + operations.Linear(cond_token_dim, cond_embed_dim, bias=False, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(cond_embed_dim, cond_embed_dim, bias=False, dtype=dtype, device=device) + ) + else: + cond_embed_dim = 0 + + if global_cond_dim > 0: + # Global conditioning + global_embed_dim = global_cond_dim if not project_global_cond else embed_dim + self.to_global_embed = nn.Sequential( + operations.Linear(global_cond_dim, global_embed_dim, bias=False, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(global_embed_dim, global_embed_dim, bias=False, dtype=dtype, device=device) + ) + + if prepend_cond_dim > 0: + # Prepend conditioning + self.to_prepend_embed = nn.Sequential( + operations.Linear(prepend_cond_dim, embed_dim, bias=False, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(embed_dim, embed_dim, bias=False, dtype=dtype, device=device) + ) + + self.input_concat_dim = input_concat_dim + + dim_in = io_channels + self.input_concat_dim + + self.patch_size = patch_size + + # Transformer + + self.transformer_type = transformer_type + + self.global_cond_type = global_cond_type + + if self.transformer_type == "continuous_transformer": + + global_dim = None + + if self.global_cond_type == "adaLN": + # The global conditioning is projected to the embed_dim already at this point + global_dim = embed_dim + + self.transformer = ContinuousTransformer( + dim=embed_dim, + depth=depth, + dim_heads=embed_dim // num_heads, + dim_in=dim_in * patch_size, + dim_out=io_channels * patch_size, + cross_attend = cond_token_dim > 0, + cond_token_dim = cond_embed_dim, + global_cond_dim=global_dim, + dtype=dtype, + device=device, + operations=operations, + **kwargs + ) + else: + raise ValueError(f"Unknown transformer type: {self.transformer_type}") + + self.preprocess_conv = operations.Conv1d(dim_in, dim_in, 1, bias=False, dtype=dtype, device=device) + self.postprocess_conv = operations.Conv1d(io_channels, io_channels, 1, bias=False, dtype=dtype, device=device) + + def _forward( + self, + x, + t, + mask=None, + cross_attn_cond=None, + cross_attn_cond_mask=None, + input_concat_cond=None, + global_embed=None, + prepend_cond=None, + prepend_cond_mask=None, + return_info=False, + **kwargs): + + if cross_attn_cond is not None: + cross_attn_cond = self.to_cond_embed(cross_attn_cond) + + if global_embed is not None: + # Project the global conditioning to the embedding dimension + global_embed = self.to_global_embed(global_embed) + + prepend_inputs = None + prepend_mask = None + prepend_length = 0 + if prepend_cond is not None: + # Project the prepend conditioning to the embedding dimension + prepend_cond = self.to_prepend_embed(prepend_cond) + + prepend_inputs = prepend_cond + if prepend_cond_mask is not None: + prepend_mask = prepend_cond_mask + + if input_concat_cond is not None: + + # Interpolate input_concat_cond to the same length as x + if input_concat_cond.shape[2] != x.shape[2]: + input_concat_cond = F.interpolate(input_concat_cond, (x.shape[2], ), mode='nearest') + + x = torch.cat([x, input_concat_cond], dim=1) + + # Get the batch of timestep embeddings + timestep_embed = self.to_timestep_embed(self.timestep_features(t[:, None]).to(x.dtype)) # (b, embed_dim) + + # Timestep embedding is considered a global embedding. Add to the global conditioning if it exists + if global_embed is not None: + global_embed = global_embed + timestep_embed + else: + global_embed = timestep_embed + + # Add the global_embed to the prepend inputs if there is no global conditioning support in the transformer + if self.global_cond_type == "prepend": + if prepend_inputs is None: + # Prepend inputs are just the global embed, and the mask is all ones + prepend_inputs = global_embed.unsqueeze(1) + prepend_mask = torch.ones((x.shape[0], 1), device=x.device, dtype=torch.bool) + else: + # Prepend inputs are the prepend conditioning + the global embed + prepend_inputs = torch.cat([prepend_inputs, global_embed.unsqueeze(1)], dim=1) + prepend_mask = torch.cat([prepend_mask, torch.ones((x.shape[0], 1), device=x.device, dtype=torch.bool)], dim=1) + + prepend_length = prepend_inputs.shape[1] + + x = self.preprocess_conv(x) + x + + x = rearrange(x, "b c t -> b t c") + + extra_args = {} + + if self.global_cond_type == "adaLN": + extra_args["global_cond"] = global_embed + + if self.patch_size > 1: + x = rearrange(x, "b (t p) c -> b t (c p)", p=self.patch_size) + + if self.transformer_type == "x-transformers": + output = self.transformer(x, prepend_embeds=prepend_inputs, context=cross_attn_cond, context_mask=cross_attn_cond_mask, mask=mask, prepend_mask=prepend_mask, **extra_args, **kwargs) + elif self.transformer_type == "continuous_transformer": + output = self.transformer(x, prepend_embeds=prepend_inputs, context=cross_attn_cond, context_mask=cross_attn_cond_mask, mask=mask, prepend_mask=prepend_mask, return_info=return_info, **extra_args, **kwargs) + + if return_info: + output, info = output + elif self.transformer_type == "mm_transformer": + output = self.transformer(x, context=cross_attn_cond, mask=mask, context_mask=cross_attn_cond_mask, **extra_args, **kwargs) + + output = rearrange(output, "b t c -> b c t")[:,:,prepend_length:] + + if self.patch_size > 1: + output = rearrange(output, "b (c p) t -> b c (t p)", p=self.patch_size) + + output = self.postprocess_conv(output) + output + + if return_info: + return output, info + + return output + + def forward( + self, + x, + timestep, + context=None, + context_mask=None, + input_concat_cond=None, + global_embed=None, + negative_global_embed=None, + prepend_cond=None, + prepend_cond_mask=None, + mask=None, + return_info=False, + control=None, + **kwargs): + return self._forward( + x, + timestep, + cross_attn_cond=context, + cross_attn_cond_mask=context_mask, + input_concat_cond=input_concat_cond, + global_embed=global_embed, + prepend_cond=prepend_cond, + prepend_cond_mask=prepend_cond_mask, + mask=mask, + return_info=return_info, + **kwargs + ) diff --git a/comfy/ldm/audio/embedders.py b/comfy/ldm/audio/embedders.py new file mode 100644 index 0000000000000000000000000000000000000000..20edb365aaafe7f344a2616a53470c837d0a8a6e --- /dev/null +++ b/comfy/ldm/audio/embedders.py @@ -0,0 +1,108 @@ +# code adapted from: https://github.com/Stability-AI/stable-audio-tools + +import torch +import torch.nn as nn +from torch import Tensor +from typing import List, Union +from einops import rearrange +import math +import comfy.ops + +class LearnedPositionalEmbedding(nn.Module): + """Used for continuous time""" + + def __init__(self, dim: int): + super().__init__() + assert (dim % 2) == 0 + half_dim = dim // 2 + self.weights = nn.Parameter(torch.empty(half_dim)) + + def forward(self, x: Tensor) -> Tensor: + x = rearrange(x, "b -> b 1") + freqs = x * rearrange(self.weights, "d -> 1 d") * 2 * math.pi + fouriered = torch.cat((freqs.sin(), freqs.cos()), dim=-1) + fouriered = torch.cat((x, fouriered), dim=-1) + return fouriered + +def TimePositionalEmbedding(dim: int, out_features: int) -> nn.Module: + return nn.Sequential( + LearnedPositionalEmbedding(dim), + comfy.ops.manual_cast.Linear(in_features=dim + 1, out_features=out_features), + ) + + +class NumberEmbedder(nn.Module): + def __init__( + self, + features: int, + dim: int = 256, + ): + super().__init__() + self.features = features + self.embedding = TimePositionalEmbedding(dim=dim, out_features=features) + + def forward(self, x: Union[List[float], Tensor]) -> Tensor: + if not torch.is_tensor(x): + device = next(self.embedding.parameters()).device + x = torch.tensor(x, device=device) + assert isinstance(x, Tensor) + shape = x.shape + x = rearrange(x, "... -> (...)") + embedding = self.embedding(x) + x = embedding.view(*shape, self.features) + return x # type: ignore + + +class Conditioner(nn.Module): + def __init__( + self, + dim: int, + output_dim: int, + project_out: bool = False + ): + + super().__init__() + + self.dim = dim + self.output_dim = output_dim + self.proj_out = nn.Linear(dim, output_dim) if (dim != output_dim or project_out) else nn.Identity() + + def forward(self, x): + raise NotImplementedError() + +class NumberConditioner(Conditioner): + ''' + Conditioner that takes a list of floats, normalizes them for a given range, and returns a list of embeddings + ''' + def __init__(self, + output_dim: int, + min_val: float=0, + max_val: float=1 + ): + super().__init__(output_dim, output_dim) + + self.min_val = min_val + self.max_val = max_val + + self.embedder = NumberEmbedder(features=output_dim) + + def forward(self, floats, device=None): + # Cast the inputs to floats + floats = [float(x) for x in floats] + + if device is None: + device = next(self.embedder.parameters()).device + + floats = torch.tensor(floats).to(device) + + floats = floats.clamp(self.min_val, self.max_val) + + normalized_floats = (floats - self.min_val) / (self.max_val - self.min_val) + + # Cast floats to same type as embedder + embedder_dtype = next(self.embedder.parameters()).dtype + normalized_floats = normalized_floats.to(embedder_dtype) + + float_embeds = self.embedder(normalized_floats).unsqueeze(1) + + return [float_embeds, torch.ones(float_embeds.shape[0], 1).to(device)] diff --git a/comfy/ldm/aura/mmdit.py b/comfy/ldm/aura/mmdit.py new file mode 100644 index 0000000000000000000000000000000000000000..66d9613b61de36e324a2a08b05b07f58c25e35ad --- /dev/null +++ b/comfy/ldm/aura/mmdit.py @@ -0,0 +1,507 @@ +#AuraFlow MMDiT +#Originally written by the AuraFlow Authors + +import math + +import torch +import torch.nn as nn +import torch.nn.functional as F + +from comfy.ldm.modules.attention import optimized_attention +import comfy.ops +import comfy.patcher_extension +import comfy.ldm.common_dit + +def modulate(x, shift, scale): + return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1) + + +def find_multiple(n: int, k: int) -> int: + if n % k == 0: + return n + return n + k - (n % k) + + +class MLP(nn.Module): + def __init__(self, dim, hidden_dim=None, dtype=None, device=None, operations=None) -> None: + super().__init__() + if hidden_dim is None: + hidden_dim = 4 * dim + + n_hidden = int(2 * hidden_dim / 3) + n_hidden = find_multiple(n_hidden, 256) + + self.c_fc1 = operations.Linear(dim, n_hidden, bias=False, dtype=dtype, device=device) + self.c_fc2 = operations.Linear(dim, n_hidden, bias=False, dtype=dtype, device=device) + self.c_proj = operations.Linear(n_hidden, dim, bias=False, dtype=dtype, device=device) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = F.silu(self.c_fc1(x)) * self.c_fc2(x) + x = self.c_proj(x) + return x + + +class MultiHeadLayerNorm(nn.Module): + def __init__(self, hidden_size=None, eps=1e-5, dtype=None, device=None): + # Copy pasta from https://github.com/huggingface/transformers/blob/e5f71ecaae50ea476d1e12351003790273c4b2ed/src/transformers/models/cohere/modeling_cohere.py#L78 + + super().__init__() + self.weight = nn.Parameter(torch.empty(hidden_size, dtype=dtype, device=device)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + mean = hidden_states.mean(-1, keepdim=True) + variance = (hidden_states - mean).pow(2).mean(-1, keepdim=True) + hidden_states = (hidden_states - mean) * torch.rsqrt( + variance + self.variance_epsilon + ) + hidden_states = self.weight.to(torch.float32) * hidden_states + return hidden_states.to(input_dtype) + +class SingleAttention(nn.Module): + def __init__(self, dim, n_heads, mh_qknorm=False, dtype=None, device=None, operations=None): + super().__init__() + + self.n_heads = n_heads + self.head_dim = dim // n_heads + + # this is for cond + self.w1q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w1k = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w1v = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w1o = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + + self.q_norm1 = ( + MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device) + if mh_qknorm + else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device) + ) + self.k_norm1 = ( + MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device) + if mh_qknorm + else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device) + ) + + #@torch.compile() + def forward(self, c, transformer_options={}): + + bsz, seqlen1, _ = c.shape + + q, k, v = self.w1q(c), self.w1k(c), self.w1v(c) + q = q.view(bsz, seqlen1, self.n_heads, self.head_dim) + k = k.view(bsz, seqlen1, self.n_heads, self.head_dim) + v = v.view(bsz, seqlen1, self.n_heads, self.head_dim) + q, k = self.q_norm1(q), self.k_norm1(k) + + output = optimized_attention(q.permute(0, 2, 1, 3), k.permute(0, 2, 1, 3), v.permute(0, 2, 1, 3), self.n_heads, skip_reshape=True, transformer_options=transformer_options) + c = self.w1o(output) + return c + + + +class DoubleAttention(nn.Module): + def __init__(self, dim, n_heads, mh_qknorm=False, dtype=None, device=None, operations=None): + super().__init__() + + self.n_heads = n_heads + self.head_dim = dim // n_heads + + # this is for cond + self.w1q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w1k = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w1v = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w1o = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + + # this is for x + self.w2q = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w2k = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w2v = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + self.w2o = operations.Linear(dim, dim, bias=False, dtype=dtype, device=device) + + self.q_norm1 = ( + MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device) + if mh_qknorm + else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device) + ) + self.k_norm1 = ( + MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device) + if mh_qknorm + else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device) + ) + + self.q_norm2 = ( + MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device) + if mh_qknorm + else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device) + ) + self.k_norm2 = ( + MultiHeadLayerNorm((self.n_heads, self.head_dim), dtype=dtype, device=device) + if mh_qknorm + else operations.LayerNorm(self.head_dim, elementwise_affine=False, dtype=dtype, device=device) + ) + + + #@torch.compile() + def forward(self, c, x, transformer_options={}): + + bsz, seqlen1, _ = c.shape + bsz, seqlen2, _ = x.shape + + cq, ck, cv = self.w1q(c), self.w1k(c), self.w1v(c) + cq = cq.view(bsz, seqlen1, self.n_heads, self.head_dim) + ck = ck.view(bsz, seqlen1, self.n_heads, self.head_dim) + cv = cv.view(bsz, seqlen1, self.n_heads, self.head_dim) + cq, ck = self.q_norm1(cq), self.k_norm1(ck) + + xq, xk, xv = self.w2q(x), self.w2k(x), self.w2v(x) + xq = xq.view(bsz, seqlen2, self.n_heads, self.head_dim) + xk = xk.view(bsz, seqlen2, self.n_heads, self.head_dim) + xv = xv.view(bsz, seqlen2, self.n_heads, self.head_dim) + xq, xk = self.q_norm2(xq), self.k_norm2(xk) + + # concat all + q, k, v = ( + torch.cat([cq, xq], dim=1), + torch.cat([ck, xk], dim=1), + torch.cat([cv, xv], dim=1), + ) + + output = optimized_attention(q.permute(0, 2, 1, 3), k.permute(0, 2, 1, 3), v.permute(0, 2, 1, 3), self.n_heads, skip_reshape=True, transformer_options=transformer_options) + + c, x = output.split([seqlen1, seqlen2], dim=1) + c = self.w1o(c) + x = self.w2o(x) + + return c, x + + +class MMDiTBlock(nn.Module): + def __init__(self, dim, heads=8, global_conddim=1024, is_last=False, dtype=None, device=None, operations=None): + super().__init__() + + self.normC1 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device) + self.normC2 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device) + if not is_last: + self.mlpC = MLP(dim, hidden_dim=dim * 4, dtype=dtype, device=device, operations=operations) + self.modC = nn.Sequential( + nn.SiLU(), + operations.Linear(global_conddim, 6 * dim, bias=False, dtype=dtype, device=device), + ) + else: + self.modC = nn.Sequential( + nn.SiLU(), + operations.Linear(global_conddim, 2 * dim, bias=False, dtype=dtype, device=device), + ) + + self.normX1 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device) + self.normX2 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device) + self.mlpX = MLP(dim, hidden_dim=dim * 4, dtype=dtype, device=device, operations=operations) + self.modX = nn.Sequential( + nn.SiLU(), + operations.Linear(global_conddim, 6 * dim, bias=False, dtype=dtype, device=device), + ) + + self.attn = DoubleAttention(dim, heads, dtype=dtype, device=device, operations=operations) + self.is_last = is_last + + #@torch.compile() + def forward(self, c, x, global_cond, transformer_options={}, **kwargs): + + cres, xres = c, x + + cshift_msa, cscale_msa, cgate_msa, cshift_mlp, cscale_mlp, cgate_mlp = ( + self.modC(global_cond).chunk(6, dim=1) + ) + + c = modulate(self.normC1(c), cshift_msa, cscale_msa) + + # xpath + xshift_msa, xscale_msa, xgate_msa, xshift_mlp, xscale_mlp, xgate_mlp = ( + self.modX(global_cond).chunk(6, dim=1) + ) + + x = modulate(self.normX1(x), xshift_msa, xscale_msa) + + # attention + c, x = self.attn(c, x, transformer_options=transformer_options) + + + c = self.normC2(cres + cgate_msa.unsqueeze(1) * c) + c = cgate_mlp.unsqueeze(1) * self.mlpC(modulate(c, cshift_mlp, cscale_mlp)) + c = cres + c + + x = self.normX2(xres + xgate_msa.unsqueeze(1) * x) + x = xgate_mlp.unsqueeze(1) * self.mlpX(modulate(x, xshift_mlp, xscale_mlp)) + x = xres + x + + return c, x + +class DiTBlock(nn.Module): + # like MMDiTBlock, but it only has X + def __init__(self, dim, heads=8, global_conddim=1024, dtype=None, device=None, operations=None): + super().__init__() + + self.norm1 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device) + self.norm2 = operations.LayerNorm(dim, elementwise_affine=False, dtype=dtype, device=device) + + self.modCX = nn.Sequential( + nn.SiLU(), + operations.Linear(global_conddim, 6 * dim, bias=False, dtype=dtype, device=device), + ) + + self.attn = SingleAttention(dim, heads, dtype=dtype, device=device, operations=operations) + self.mlp = MLP(dim, hidden_dim=dim * 4, dtype=dtype, device=device, operations=operations) + + #@torch.compile() + def forward(self, cx, global_cond, transformer_options={}, **kwargs): + cxres = cx + shift_msa, scale_msa, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.modCX( + global_cond + ).chunk(6, dim=1) + cx = modulate(self.norm1(cx), shift_msa, scale_msa) + cx = self.attn(cx, transformer_options=transformer_options) + cx = self.norm2(cxres + gate_msa.unsqueeze(1) * cx) + mlpout = self.mlp(modulate(cx, shift_mlp, scale_mlp)) + cx = gate_mlp.unsqueeze(1) * mlpout + + cx = cxres + cx + + return cx + + + +class TimestepEmbedder(nn.Module): + def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None): + super().__init__() + self.mlp = nn.Sequential( + operations.Linear(frequency_embedding_size, hidden_size, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(hidden_size, hidden_size, dtype=dtype, device=device), + ) + self.frequency_embedding_size = frequency_embedding_size + + @staticmethod + def timestep_embedding(t, dim, max_period=10000): + half = dim // 2 + freqs = 1000 * torch.exp( + -math.log(max_period) * torch.arange(start=0, end=half) / half + ).to(t.device) + args = t[:, None] * freqs[None] + embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1) + if dim % 2: + embedding = torch.cat( + [embedding, torch.zeros_like(embedding[:, :1])], dim=-1 + ) + return embedding + + #@torch.compile() + def forward(self, t, dtype): + t_freq = self.timestep_embedding(t, self.frequency_embedding_size).to(dtype) + t_emb = self.mlp(t_freq) + return t_emb + + +class MMDiT(nn.Module): + def __init__( + self, + in_channels=4, + out_channels=4, + patch_size=2, + dim=3072, + n_layers=36, + n_double_layers=4, + n_heads=12, + global_conddim=3072, + cond_seq_dim=2048, + max_seq=32 * 32, + device=None, + dtype=None, + operations=None, + ): + super().__init__() + self.dtype = dtype + + self.t_embedder = TimestepEmbedder(global_conddim, dtype=dtype, device=device, operations=operations) + + self.cond_seq_linear = operations.Linear( + cond_seq_dim, dim, bias=False, dtype=dtype, device=device + ) # linear for something like text sequence. + self.init_x_linear = operations.Linear( + patch_size * patch_size * in_channels, dim, dtype=dtype, device=device + ) # init linear for patchified image. + + self.positional_encoding = nn.Parameter(torch.empty(1, max_seq, dim, dtype=dtype, device=device)) + self.register_tokens = nn.Parameter(torch.empty(1, 8, dim, dtype=dtype, device=device)) + + self.double_layers = nn.ModuleList([]) + self.single_layers = nn.ModuleList([]) + + + for idx in range(n_double_layers): + self.double_layers.append( + MMDiTBlock(dim, n_heads, global_conddim, is_last=(idx == n_layers - 1), dtype=dtype, device=device, operations=operations) + ) + + for idx in range(n_double_layers, n_layers): + self.single_layers.append( + DiTBlock(dim, n_heads, global_conddim, dtype=dtype, device=device, operations=operations) + ) + + + self.final_linear = operations.Linear( + dim, patch_size * patch_size * out_channels, bias=False, dtype=dtype, device=device + ) + + self.modF = nn.Sequential( + nn.SiLU(), + operations.Linear(global_conddim, 2 * dim, bias=False, dtype=dtype, device=device), + ) + + self.out_channels = out_channels + self.patch_size = patch_size + self.n_double_layers = n_double_layers + self.n_layers = n_layers + + self.h_max = round(max_seq**0.5) + self.w_max = round(max_seq**0.5) + + @torch.no_grad() + def extend_pe(self, init_dim=(16, 16), target_dim=(64, 64)): + # extend pe + pe_data = self.positional_encoding.data.squeeze(0)[: init_dim[0] * init_dim[1]] + + pe_as_2d = pe_data.view(init_dim[0], init_dim[1], -1).permute(2, 0, 1) + + # now we need to extend this to target_dim. for this we will use interpolation. + # we will use torch.nn.functional.interpolate + pe_as_2d = F.interpolate( + pe_as_2d.unsqueeze(0), size=target_dim, mode="bilinear" + ) + pe_new = pe_as_2d.squeeze(0).permute(1, 2, 0).flatten(0, 1) + self.positional_encoding.data = pe_new.unsqueeze(0).contiguous() + self.h_max, self.w_max = target_dim + + def pe_selection_index_based_on_dim(self, h, w): + h_p, w_p = h // self.patch_size, w // self.patch_size + original_pe_indexes = torch.arange(self.positional_encoding.shape[1]) + original_pe_indexes = original_pe_indexes.view(self.h_max, self.w_max) + starth = self.h_max // 2 - h_p // 2 + endh =starth + h_p + startw = self.w_max // 2 - w_p // 2 + endw = startw + w_p + original_pe_indexes = original_pe_indexes[ + starth:endh, startw:endw + ] + return original_pe_indexes.flatten() + + def unpatchify(self, x, h, w): + c = self.out_channels + p = self.patch_size + + x = x.reshape(shape=(x.shape[0], h, w, p, p, c)) + x = torch.einsum("nhwpqc->nchpwq", x) + imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p)) + return imgs + + def patchify(self, x): + B, C, H, W = x.size() + x = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size)) + x = x.view( + B, + C, + (H + 1) // self.patch_size, + self.patch_size, + (W + 1) // self.patch_size, + self.patch_size, + ) + x = x.permute(0, 2, 4, 1, 3, 5).flatten(-3).flatten(1, 2) + return x + + def apply_pos_embeds(self, x, h, w): + h = (h + 1) // self.patch_size + w = (w + 1) // self.patch_size + max_dim = max(h, w) + + cur_dim = self.h_max + pos_encoding = comfy.ops.cast_to_input(self.positional_encoding.reshape(1, cur_dim, cur_dim, -1), x) + + if max_dim > cur_dim: + pos_encoding = F.interpolate(pos_encoding.movedim(-1, 1), (max_dim, max_dim), mode="bilinear").movedim(1, -1) + cur_dim = max_dim + + from_h = (cur_dim - h) // 2 + from_w = (cur_dim - w) // 2 + pos_encoding = pos_encoding[:,from_h:from_h+h,from_w:from_w+w] + return x + pos_encoding.reshape(1, -1, self.positional_encoding.shape[-1]) + + def forward(self, x, timestep, context, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, transformer_options, **kwargs) + + def _forward(self, x, timestep, context, transformer_options={}, **kwargs): + patches_replace = transformer_options.get("patches_replace", {}) + # patchify x, add PE + b, c, h, w = x.shape + + # pe_indexes = self.pe_selection_index_based_on_dim(h, w) + # print(pe_indexes, pe_indexes.shape) + + x = self.init_x_linear(self.patchify(x)) # B, T_x, D + x = self.apply_pos_embeds(x, h, w) + # x = x + self.positional_encoding[:, : x.size(1)].to(device=x.device, dtype=x.dtype) + # x = x + self.positional_encoding[:, pe_indexes].to(device=x.device, dtype=x.dtype) + + # process conditions for MMDiT Blocks + c_seq = context # B, T_c, D_c + t = timestep + + c = self.cond_seq_linear(c_seq) # B, T_c, D + c = torch.cat([comfy.ops.cast_to_input(self.register_tokens, c).repeat(c.size(0), 1, 1), c], dim=1) + + global_cond = self.t_embedder(t, x.dtype) # B, D + + blocks_replace = patches_replace.get("dit", {}) + if len(self.double_layers) > 0: + for i, layer in enumerate(self.double_layers): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["txt"], out["img"] = layer(args["txt"], + args["img"], + args["vec"], + transformer_options=args["transformer_options"]) + return out + out = blocks_replace[("double_block", i)]({"img": x, "txt": c, "vec": global_cond, "transformer_options": transformer_options}, {"original_block": block_wrap}) + c = out["txt"] + x = out["img"] + else: + c, x = layer(c, x, global_cond, transformer_options=transformer_options, **kwargs) + + if len(self.single_layers) > 0: + c_len = c.size(1) + cx = torch.cat([c, x], dim=1) + for i, layer in enumerate(self.single_layers): + if ("single_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = layer(args["img"], args["vec"], transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("single_block", i)]({"img": cx, "vec": global_cond, "transformer_options": transformer_options}, {"original_block": block_wrap}) + cx = out["img"] + else: + cx = layer(cx, global_cond, transformer_options=transformer_options, **kwargs) + + x = cx[:, c_len:] + + fshift, fscale = self.modF(global_cond).chunk(2, dim=1) + + x = modulate(x, fshift, fscale) + x = self.final_linear(x) + x = self.unpatchify(x, (h + 1) // self.patch_size, (w + 1) // self.patch_size)[:,:,:h,:w] + return x diff --git a/comfy/ldm/cascade/common.py b/comfy/ldm/cascade/common.py new file mode 100644 index 0000000000000000000000000000000000000000..42ef98c7a78cb1b652433ae7c92b189353e2fad6 --- /dev/null +++ b/comfy/ldm/cascade/common.py @@ -0,0 +1,154 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torch +import torch.nn as nn +from comfy.ldm.modules.attention import optimized_attention +import comfy.ops + +class OptimizedAttention(nn.Module): + def __init__(self, c, nhead, dropout=0.0, dtype=None, device=None, operations=None): + super().__init__() + self.heads = nhead + + self.to_q = operations.Linear(c, c, bias=True, dtype=dtype, device=device) + self.to_k = operations.Linear(c, c, bias=True, dtype=dtype, device=device) + self.to_v = operations.Linear(c, c, bias=True, dtype=dtype, device=device) + + self.out_proj = operations.Linear(c, c, bias=True, dtype=dtype, device=device) + + def forward(self, q, k, v, transformer_options={}): + q = self.to_q(q) + k = self.to_k(k) + v = self.to_v(v) + + out = optimized_attention(q, k, v, self.heads, transformer_options=transformer_options) + + return self.out_proj(out) + +class Attention2D(nn.Module): + def __init__(self, c, nhead, dropout=0.0, dtype=None, device=None, operations=None): + super().__init__() + self.attn = OptimizedAttention(c, nhead, dtype=dtype, device=device, operations=operations) + # self.attn = nn.MultiheadAttention(c, nhead, dropout=dropout, bias=True, batch_first=True, dtype=dtype, device=device) + + def forward(self, x, kv, self_attn=False, transformer_options={}): + orig_shape = x.shape + x = x.view(x.size(0), x.size(1), -1).permute(0, 2, 1) # Bx4xHxW -> Bx(HxW)x4 + if self_attn: + kv = torch.cat([x, kv], dim=1) + # x = self.attn(x, kv, kv, need_weights=False)[0] + x = self.attn(x, kv, kv, transformer_options=transformer_options) + x = x.permute(0, 2, 1).view(*orig_shape) + return x + + +def LayerNorm2d_op(operations): + class LayerNorm2d(operations.LayerNorm): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + def forward(self, x): + return super().forward(x.permute(0, 2, 3, 1)).permute(0, 3, 1, 2) + return LayerNorm2d + +class GlobalResponseNorm(nn.Module): + "from https://github.com/facebookresearch/ConvNeXt-V2/blob/3608f67cc1dae164790c5d0aead7bf2d73d9719b/models/utils.py#L105" + def __init__(self, dim, dtype=None, device=None): + super().__init__() + self.gamma = nn.Parameter(torch.empty(1, 1, 1, dim, dtype=dtype, device=device)) + self.beta = nn.Parameter(torch.empty(1, 1, 1, dim, dtype=dtype, device=device)) + + def forward(self, x): + Gx = torch.norm(x, p=2, dim=(1, 2), keepdim=True) + Nx = Gx / (Gx.mean(dim=-1, keepdim=True) + 1e-6) + return comfy.ops.cast_to_input(self.gamma, x) * (x * Nx) + comfy.ops.cast_to_input(self.beta, x) + x + + +class ResBlock(nn.Module): + def __init__(self, c, c_skip=0, kernel_size=3, dropout=0.0, dtype=None, device=None, operations=None): # , num_heads=4, expansion=2): + super().__init__() + self.depthwise = operations.Conv2d(c, c, kernel_size=kernel_size, padding=kernel_size // 2, groups=c, dtype=dtype, device=device) + # self.depthwise = SAMBlock(c, num_heads, expansion) + self.norm = LayerNorm2d_op(operations)(c, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.channelwise = nn.Sequential( + operations.Linear(c + c_skip, c * 4, dtype=dtype, device=device), + nn.GELU(), + GlobalResponseNorm(c * 4, dtype=dtype, device=device), + nn.Dropout(dropout), + operations.Linear(c * 4, c, dtype=dtype, device=device) + ) + + def forward(self, x, x_skip=None): + x_res = x + x = self.norm(self.depthwise(x)) + if x_skip is not None: + x = torch.cat([x, x_skip], dim=1) + x = self.channelwise(x.permute(0, 2, 3, 1)).permute(0, 3, 1, 2) + return x + x_res + + +class AttnBlock(nn.Module): + def __init__(self, c, c_cond, nhead, self_attn=True, dropout=0.0, dtype=None, device=None, operations=None): + super().__init__() + self.self_attn = self_attn + self.norm = LayerNorm2d_op(operations)(c, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.attention = Attention2D(c, nhead, dropout, dtype=dtype, device=device, operations=operations) + self.kv_mapper = nn.Sequential( + nn.SiLU(), + operations.Linear(c_cond, c, dtype=dtype, device=device) + ) + + def forward(self, x, kv, transformer_options={}): + kv = self.kv_mapper(kv) + x = x + self.attention(self.norm(x), kv, self_attn=self.self_attn, transformer_options=transformer_options) + return x + + +class FeedForwardBlock(nn.Module): + def __init__(self, c, dropout=0.0, dtype=None, device=None, operations=None): + super().__init__() + self.norm = LayerNorm2d_op(operations)(c, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.channelwise = nn.Sequential( + operations.Linear(c, c * 4, dtype=dtype, device=device), + nn.GELU(), + GlobalResponseNorm(c * 4, dtype=dtype, device=device), + nn.Dropout(dropout), + operations.Linear(c * 4, c, dtype=dtype, device=device) + ) + + def forward(self, x): + x = x + self.channelwise(self.norm(x).permute(0, 2, 3, 1)).permute(0, 3, 1, 2) + return x + + +class TimestepBlock(nn.Module): + def __init__(self, c, c_timestep, conds=['sca'], dtype=None, device=None, operations=None): + super().__init__() + self.mapper = operations.Linear(c_timestep, c * 2, dtype=dtype, device=device) + self.conds = conds + for cname in conds: + setattr(self, f"mapper_{cname}", operations.Linear(c_timestep, c * 2, dtype=dtype, device=device)) + + def forward(self, x, t): + t = t.chunk(len(self.conds) + 1, dim=1) + a, b = self.mapper(t[0])[:, :, None, None].chunk(2, dim=1) + for i, c in enumerate(self.conds): + ac, bc = getattr(self, f"mapper_{c}")(t[i + 1])[:, :, None, None].chunk(2, dim=1) + a, b = a + ac, b + bc + return x * (1 + a) + b diff --git a/comfy/ldm/cascade/controlnet.py b/comfy/ldm/cascade/controlnet.py new file mode 100644 index 0000000000000000000000000000000000000000..90473481a078323be11e2c5530de378b1ac6425c --- /dev/null +++ b/comfy/ldm/cascade/controlnet.py @@ -0,0 +1,92 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torchvision +from torch import nn +from .common import LayerNorm2d_op + + +class CNetResBlock(nn.Module): + def __init__(self, c, dtype=None, device=None, operations=None): + super().__init__() + self.blocks = nn.Sequential( + LayerNorm2d_op(operations)(c, dtype=dtype, device=device), + nn.GELU(), + operations.Conv2d(c, c, kernel_size=3, padding=1), + LayerNorm2d_op(operations)(c, dtype=dtype, device=device), + nn.GELU(), + operations.Conv2d(c, c, kernel_size=3, padding=1), + ) + + def forward(self, x): + return x + self.blocks(x) + + +class ControlNet(nn.Module): + def __init__(self, c_in=3, c_proj=2048, proj_blocks=None, bottleneck_mode=None, dtype=None, device=None, operations=nn): + super().__init__() + if bottleneck_mode is None: + bottleneck_mode = 'effnet' + self.proj_blocks = proj_blocks + if bottleneck_mode == 'effnet': + embd_channels = 1280 + self.backbone = torchvision.models.efficientnet_v2_s().features.eval() + if c_in != 3: + in_weights = self.backbone[0][0].weight.data + self.backbone[0][0] = operations.Conv2d(c_in, 24, kernel_size=3, stride=2, bias=False, dtype=dtype, device=device) + if c_in > 3: + # nn.init.constant_(self.backbone[0][0].weight, 0) + self.backbone[0][0].weight.data[:, :3] = in_weights[:, :3].clone() + else: + self.backbone[0][0].weight.data = in_weights[:, :c_in].clone() + elif bottleneck_mode == 'simple': + embd_channels = c_in + self.backbone = nn.Sequential( + operations.Conv2d(embd_channels, embd_channels * 4, kernel_size=3, padding=1, dtype=dtype, device=device), + nn.LeakyReLU(0.2, inplace=True), + operations.Conv2d(embd_channels * 4, embd_channels, kernel_size=3, padding=1, dtype=dtype, device=device), + ) + elif bottleneck_mode == 'large': + self.backbone = nn.Sequential( + operations.Conv2d(c_in, 4096 * 4, kernel_size=1, dtype=dtype, device=device), + nn.LeakyReLU(0.2, inplace=True), + operations.Conv2d(4096 * 4, 1024, kernel_size=1, dtype=dtype, device=device), + *[CNetResBlock(1024, dtype=dtype, device=device, operations=operations) for _ in range(8)], + operations.Conv2d(1024, 1280, kernel_size=1, dtype=dtype, device=device), + ) + embd_channels = 1280 + else: + raise ValueError(f'Unknown bottleneck mode: {bottleneck_mode}') + self.projections = nn.ModuleList() + for _ in range(len(proj_blocks)): + self.projections.append(nn.Sequential( + operations.Conv2d(embd_channels, embd_channels, kernel_size=1, bias=False, dtype=dtype, device=device), + nn.LeakyReLU(0.2, inplace=True), + operations.Conv2d(embd_channels, c_proj, kernel_size=1, bias=False, dtype=dtype, device=device), + )) + # nn.init.constant_(self.projections[-1][-1].weight, 0) # zero output projection + self.xl = False + self.input_channels = c_in + self.unshuffle_amount = 8 + + def forward(self, x): + x = self.backbone(x) + proj_outputs = [None for _ in range(max(self.proj_blocks) + 1)] + for i, idx in enumerate(self.proj_blocks): + proj_outputs[idx] = self.projections[i](x) + return {"input": proj_outputs[::-1]} diff --git a/comfy/ldm/cascade/stage_a.py b/comfy/ldm/cascade/stage_a.py new file mode 100644 index 0000000000000000000000000000000000000000..145e6e69a7c56c0b983cd79d43f1c6d7d26fd349 --- /dev/null +++ b/comfy/ldm/cascade/stage_a.py @@ -0,0 +1,259 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torch +from torch import nn +from torch.autograd import Function +import comfy.ops + +ops = comfy.ops.disable_weight_init + + +class vector_quantize(Function): + @staticmethod + def forward(ctx, x, codebook): + with torch.no_grad(): + codebook_sqr = torch.sum(codebook ** 2, dim=1) + x_sqr = torch.sum(x ** 2, dim=1, keepdim=True) + + dist = torch.addmm(codebook_sqr + x_sqr, x, codebook.t(), alpha=-2.0, beta=1.0) + _, indices = dist.min(dim=1) + + ctx.save_for_backward(indices, codebook) + ctx.mark_non_differentiable(indices) + + nn = torch.index_select(codebook, 0, indices) + return nn, indices + + @staticmethod + def backward(ctx, grad_output, grad_indices): + grad_inputs, grad_codebook = None, None + + if ctx.needs_input_grad[0]: + grad_inputs = grad_output.clone() + if ctx.needs_input_grad[1]: + # Gradient wrt. the codebook + indices, codebook = ctx.saved_tensors + + grad_codebook = torch.zeros_like(codebook) + grad_codebook.index_add_(0, indices, grad_output) + + return (grad_inputs, grad_codebook) + + +class VectorQuantize(nn.Module): + def __init__(self, embedding_size, k, ema_decay=0.99, ema_loss=False): + """ + Takes an input of variable size (as long as the last dimension matches the embedding size). + Returns one tensor containing the nearest neigbour embeddings to each of the inputs, + with the same size as the input, vq and commitment components for the loss as a touple + in the second output and the indices of the quantized vectors in the third: + quantized, (vq_loss, commit_loss), indices + """ + super(VectorQuantize, self).__init__() + + self.codebook = nn.Embedding(k, embedding_size) + self.codebook.weight.data.uniform_(-1./k, 1./k) + self.vq = vector_quantize.apply + + self.ema_decay = ema_decay + self.ema_loss = ema_loss + if ema_loss: + self.register_buffer('ema_element_count', torch.ones(k)) + self.register_buffer('ema_weight_sum', torch.zeros_like(self.codebook.weight)) + + def _laplace_smoothing(self, x, epsilon): + n = torch.sum(x) + return ((x + epsilon) / (n + x.size(0) * epsilon) * n) + + def _updateEMA(self, z_e_x, indices): + mask = nn.functional.one_hot(indices, self.ema_element_count.size(0)).float() + elem_count = mask.sum(dim=0) + weight_sum = torch.mm(mask.t(), z_e_x) + + self.ema_element_count = (self.ema_decay * self.ema_element_count) + ((1-self.ema_decay) * elem_count) + self.ema_element_count = self._laplace_smoothing(self.ema_element_count, 1e-5) + self.ema_weight_sum = (self.ema_decay * self.ema_weight_sum) + ((1-self.ema_decay) * weight_sum) + + self.codebook.weight.data = self.ema_weight_sum / self.ema_element_count.unsqueeze(-1) + + def idx2vq(self, idx, dim=-1): + q_idx = self.codebook(idx) + if dim != -1: + q_idx = q_idx.movedim(-1, dim) + return q_idx + + def forward(self, x, get_losses=True, dim=-1): + if dim != -1: + x = x.movedim(dim, -1) + z_e_x = x.contiguous().view(-1, x.size(-1)) if len(x.shape) > 2 else x + z_q_x, indices = self.vq(z_e_x, self.codebook.weight.detach()) + vq_loss, commit_loss = None, None + if self.ema_loss and self.training: + self._updateEMA(z_e_x.detach(), indices.detach()) + # pick the graded embeddings after updating the codebook in order to have a more accurate commitment loss + z_q_x_grd = torch.index_select(self.codebook.weight, dim=0, index=indices) + if get_losses: + vq_loss = (z_q_x_grd - z_e_x.detach()).pow(2).mean() + commit_loss = (z_e_x - z_q_x_grd.detach()).pow(2).mean() + + z_q_x = z_q_x.view(x.shape) + if dim != -1: + z_q_x = z_q_x.movedim(-1, dim) + return z_q_x, (vq_loss, commit_loss), indices.view(x.shape[:-1]) + + +class ResBlock(nn.Module): + def __init__(self, c, c_hidden): + super().__init__() + # depthwise/attention + self.norm1 = nn.LayerNorm(c, elementwise_affine=False, eps=1e-6) + self.depthwise = nn.Sequential( + nn.ReplicationPad2d(1), + ops.Conv2d(c, c, kernel_size=3, groups=c) + ) + + # channelwise + self.norm2 = nn.LayerNorm(c, elementwise_affine=False, eps=1e-6) + self.channelwise = nn.Sequential( + ops.Linear(c, c_hidden), + nn.GELU(), + ops.Linear(c_hidden, c), + ) + + self.gammas = nn.Parameter(torch.zeros(6), requires_grad=True) + + # Init weights + def _basic_init(module): + if isinstance(module, nn.Linear) or isinstance(module, nn.Conv2d): + torch.nn.init.xavier_uniform_(module.weight) + if module.bias is not None: + nn.init.constant_(module.bias, 0) + + self.apply(_basic_init) + + def _norm(self, x, norm): + return norm(x.permute(0, 2, 3, 1)).permute(0, 3, 1, 2) + + def forward(self, x): + mods = self.gammas + + x_temp = self._norm(x, self.norm1) * (1 + mods[0]) + mods[1] + try: + x = x + self.depthwise(x_temp) * mods[2] + except: #operation not implemented for bf16 + x_temp = self.depthwise[0](x_temp.float()).to(x.dtype) + x = x + self.depthwise[1](x_temp) * mods[2] + + x_temp = self._norm(x, self.norm2) * (1 + mods[3]) + mods[4] + x = x + self.channelwise(x_temp.permute(0, 2, 3, 1)).permute(0, 3, 1, 2) * mods[5] + + return x + + +class StageA(nn.Module): + def __init__(self, levels=2, bottleneck_blocks=12, c_hidden=384, c_latent=4, codebook_size=8192): + super().__init__() + self.c_latent = c_latent + c_levels = [c_hidden // (2 ** i) for i in reversed(range(levels))] + + # Encoder blocks + self.in_block = nn.Sequential( + nn.PixelUnshuffle(2), + ops.Conv2d(3 * 4, c_levels[0], kernel_size=1) + ) + down_blocks = [] + for i in range(levels): + if i > 0: + down_blocks.append(ops.Conv2d(c_levels[i - 1], c_levels[i], kernel_size=4, stride=2, padding=1)) + block = ResBlock(c_levels[i], c_levels[i] * 4) + down_blocks.append(block) + down_blocks.append(nn.Sequential( + ops.Conv2d(c_levels[-1], c_latent, kernel_size=1, bias=False), + nn.BatchNorm2d(c_latent), # then normalize them to have mean 0 and std 1 + )) + self.down_blocks = nn.Sequential(*down_blocks) + self.down_blocks[0] + + self.codebook_size = codebook_size + self.vquantizer = VectorQuantize(c_latent, k=codebook_size) + + # Decoder blocks + up_blocks = [nn.Sequential( + ops.Conv2d(c_latent, c_levels[-1], kernel_size=1) + )] + for i in range(levels): + for j in range(bottleneck_blocks if i == 0 else 1): + block = ResBlock(c_levels[levels - 1 - i], c_levels[levels - 1 - i] * 4) + up_blocks.append(block) + if i < levels - 1: + up_blocks.append( + ops.ConvTranspose2d(c_levels[levels - 1 - i], c_levels[levels - 2 - i], kernel_size=4, stride=2, + padding=1)) + self.up_blocks = nn.Sequential(*up_blocks) + self.out_block = nn.Sequential( + ops.Conv2d(c_levels[0], 3 * 4, kernel_size=1), + nn.PixelShuffle(2), + ) + + def encode(self, x, quantize=False): + x = self.in_block(x) + x = self.down_blocks(x) + if quantize: + qe, (vq_loss, commit_loss), indices = self.vquantizer.forward(x, dim=1) + return qe, x, indices, vq_loss + commit_loss * 0.25 + else: + return x + + def decode(self, x): + x = self.up_blocks(x) + x = self.out_block(x) + return x + + def forward(self, x, quantize=False): + qe, x, _, vq_loss = self.encode(x, quantize) + x = self.decode(qe) + return x, vq_loss + + +class Discriminator(nn.Module): + def __init__(self, c_in=3, c_cond=0, c_hidden=512, depth=6): + super().__init__() + d = max(depth - 3, 3) + layers = [ + nn.utils.spectral_norm(ops.Conv2d(c_in, c_hidden // (2 ** d), kernel_size=3, stride=2, padding=1)), + nn.LeakyReLU(0.2), + ] + for i in range(depth - 1): + c_in = c_hidden // (2 ** max((d - i), 0)) + c_out = c_hidden // (2 ** max((d - 1 - i), 0)) + layers.append(nn.utils.spectral_norm(ops.Conv2d(c_in, c_out, kernel_size=3, stride=2, padding=1))) + layers.append(nn.InstanceNorm2d(c_out)) + layers.append(nn.LeakyReLU(0.2)) + self.encoder = nn.Sequential(*layers) + self.shuffle = ops.Conv2d((c_hidden + c_cond) if c_cond > 0 else c_hidden, 1, kernel_size=1) + self.logits = nn.Sigmoid() + + def forward(self, x, cond=None): + x = self.encoder(x) + if cond is not None: + cond = cond.view(cond.size(0), cond.size(1), 1, 1, ).expand(-1, -1, x.size(-2), x.size(-1)) + x = torch.cat([x, cond], dim=1) + x = self.shuffle(x) + x = self.logits(x) + return x diff --git a/comfy/ldm/cascade/stage_b.py b/comfy/ldm/cascade/stage_b.py new file mode 100644 index 0000000000000000000000000000000000000000..428c67fdf621d0af3c1bc52769c915e2ff0129c3 --- /dev/null +++ b/comfy/ldm/cascade/stage_b.py @@ -0,0 +1,256 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import math +import torch +from torch import nn +from .common import AttnBlock, LayerNorm2d_op, ResBlock, FeedForwardBlock, TimestepBlock + +class StageB(nn.Module): + def __init__(self, c_in=4, c_out=4, c_r=64, patch_size=2, c_cond=1280, c_hidden=[320, 640, 1280, 1280], + nhead=[-1, -1, 20, 20], blocks=[[2, 6, 28, 6], [6, 28, 6, 2]], + block_repeat=[[1, 1, 1, 1], [3, 3, 2, 2]], level_config=['CT', 'CT', 'CTA', 'CTA'], c_clip=1280, + c_clip_seq=4, c_effnet=16, c_pixels=3, kernel_size=3, dropout=[0, 0, 0.0, 0.0], self_attn=True, + t_conds=['sca'], stable_cascade_stage=None, dtype=None, device=None, operations=None): + super().__init__() + self.dtype = dtype + self.c_r = c_r + self.t_conds = t_conds + self.c_clip_seq = c_clip_seq + if not isinstance(dropout, list): + dropout = [dropout] * len(c_hidden) + if not isinstance(self_attn, list): + self_attn = [self_attn] * len(c_hidden) + + # CONDITIONING + self.effnet_mapper = nn.Sequential( + operations.Conv2d(c_effnet, c_hidden[0] * 4, kernel_size=1, dtype=dtype, device=device), + nn.GELU(), + operations.Conv2d(c_hidden[0] * 4, c_hidden[0], kernel_size=1, dtype=dtype, device=device), + LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + ) + self.pixels_mapper = nn.Sequential( + operations.Conv2d(c_pixels, c_hidden[0] * 4, kernel_size=1, dtype=dtype, device=device), + nn.GELU(), + operations.Conv2d(c_hidden[0] * 4, c_hidden[0], kernel_size=1, dtype=dtype, device=device), + LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + ) + self.clip_mapper = operations.Linear(c_clip, c_cond * c_clip_seq, dtype=dtype, device=device) + self.clip_norm = operations.LayerNorm(c_cond, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + + self.embedding = nn.Sequential( + nn.PixelUnshuffle(patch_size), + operations.Conv2d(c_in * (patch_size ** 2), c_hidden[0], kernel_size=1, dtype=dtype, device=device), + LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + ) + + def get_block(block_type, c_hidden, nhead, c_skip=0, dropout=0, self_attn=True): + if block_type == 'C': + return ResBlock(c_hidden, c_skip, kernel_size=kernel_size, dropout=dropout, dtype=dtype, device=device, operations=operations) + elif block_type == 'A': + return AttnBlock(c_hidden, c_cond, nhead, self_attn=self_attn, dropout=dropout, dtype=dtype, device=device, operations=operations) + elif block_type == 'F': + return FeedForwardBlock(c_hidden, dropout=dropout, dtype=dtype, device=device, operations=operations) + elif block_type == 'T': + return TimestepBlock(c_hidden, c_r, conds=t_conds, dtype=dtype, device=device, operations=operations) + else: + raise Exception(f'Block type {block_type} not supported') + + # BLOCKS + # -- down blocks + self.down_blocks = nn.ModuleList() + self.down_downscalers = nn.ModuleList() + self.down_repeat_mappers = nn.ModuleList() + for i in range(len(c_hidden)): + if i > 0: + self.down_downscalers.append(nn.Sequential( + LayerNorm2d_op(operations)(c_hidden[i - 1], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device), + operations.Conv2d(c_hidden[i - 1], c_hidden[i], kernel_size=2, stride=2, dtype=dtype, device=device), + )) + else: + self.down_downscalers.append(nn.Identity()) + down_block = nn.ModuleList() + for _ in range(blocks[0][i]): + for block_type in level_config[i]: + block = get_block(block_type, c_hidden[i], nhead[i], dropout=dropout[i], self_attn=self_attn[i]) + down_block.append(block) + self.down_blocks.append(down_block) + if block_repeat is not None: + block_repeat_mappers = nn.ModuleList() + for _ in range(block_repeat[0][i] - 1): + block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device)) + self.down_repeat_mappers.append(block_repeat_mappers) + + # -- up blocks + self.up_blocks = nn.ModuleList() + self.up_upscalers = nn.ModuleList() + self.up_repeat_mappers = nn.ModuleList() + for i in reversed(range(len(c_hidden))): + if i > 0: + self.up_upscalers.append(nn.Sequential( + LayerNorm2d_op(operations)(c_hidden[i], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device), + operations.ConvTranspose2d(c_hidden[i], c_hidden[i - 1], kernel_size=2, stride=2, dtype=dtype, device=device), + )) + else: + self.up_upscalers.append(nn.Identity()) + up_block = nn.ModuleList() + for j in range(blocks[1][::-1][i]): + for k, block_type in enumerate(level_config[i]): + c_skip = c_hidden[i] if i < len(c_hidden) - 1 and j == k == 0 else 0 + block = get_block(block_type, c_hidden[i], nhead[i], c_skip=c_skip, dropout=dropout[i], + self_attn=self_attn[i]) + up_block.append(block) + self.up_blocks.append(up_block) + if block_repeat is not None: + block_repeat_mappers = nn.ModuleList() + for _ in range(block_repeat[1][::-1][i] - 1): + block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device)) + self.up_repeat_mappers.append(block_repeat_mappers) + + # OUTPUT + self.clf = nn.Sequential( + LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device), + operations.Conv2d(c_hidden[0], c_out * (patch_size ** 2), kernel_size=1, dtype=dtype, device=device), + nn.PixelShuffle(patch_size), + ) + + # --- WEIGHT INIT --- + # self.apply(self._init_weights) # General init + # nn.init.normal_(self.clip_mapper.weight, std=0.02) # conditionings + # nn.init.normal_(self.effnet_mapper[0].weight, std=0.02) # conditionings + # nn.init.normal_(self.effnet_mapper[2].weight, std=0.02) # conditionings + # nn.init.normal_(self.pixels_mapper[0].weight, std=0.02) # conditionings + # nn.init.normal_(self.pixels_mapper[2].weight, std=0.02) # conditionings + # torch.nn.init.xavier_uniform_(self.embedding[1].weight, 0.02) # inputs + # nn.init.constant_(self.clf[1].weight, 0) # outputs + # + # # blocks + # for level_block in self.down_blocks + self.up_blocks: + # for block in level_block: + # if isinstance(block, ResBlock) or isinstance(block, FeedForwardBlock): + # block.channelwise[-1].weight.data *= np.sqrt(1 / sum(blocks[0])) + # elif isinstance(block, TimestepBlock): + # for layer in block.modules(): + # if isinstance(layer, nn.Linear): + # nn.init.constant_(layer.weight, 0) + # + # def _init_weights(self, m): + # if isinstance(m, (nn.Conv2d, nn.Linear)): + # torch.nn.init.xavier_uniform_(m.weight) + # if m.bias is not None: + # nn.init.constant_(m.bias, 0) + + def gen_r_embedding(self, r, max_positions=10000): + r = r * max_positions + half_dim = self.c_r // 2 + emb = math.log(max_positions) / (half_dim - 1) + emb = torch.arange(half_dim, device=r.device).float().mul(-emb).exp() + emb = r[:, None] * emb[None, :] + emb = torch.cat([emb.sin(), emb.cos()], dim=1) + if self.c_r % 2 == 1: # zero pad + emb = nn.functional.pad(emb, (0, 1), mode='constant') + return emb + + def gen_c_embeddings(self, clip): + if len(clip.shape) == 2: + clip = clip.unsqueeze(1) + clip = self.clip_mapper(clip).view(clip.size(0), clip.size(1) * self.c_clip_seq, -1) + clip = self.clip_norm(clip) + return clip + + def _down_encode(self, x, r_embed, clip, transformer_options={}): + level_outputs = [] + block_group = zip(self.down_blocks, self.down_downscalers, self.down_repeat_mappers) + for down_block, downscaler, repmap in block_group: + x = downscaler(x) + for i in range(len(repmap) + 1): + for block in down_block: + if isinstance(block, ResBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + ResBlock)): + x = block(x) + elif isinstance(block, AttnBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + AttnBlock)): + x = block(x, clip, transformer_options=transformer_options) + elif isinstance(block, TimestepBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + TimestepBlock)): + x = block(x, r_embed) + else: + x = block(x) + if i < len(repmap): + x = repmap[i](x) + level_outputs.insert(0, x) + return level_outputs + + def _up_decode(self, level_outputs, r_embed, clip, transformer_options={}): + x = level_outputs[0] + block_group = zip(self.up_blocks, self.up_upscalers, self.up_repeat_mappers) + for i, (up_block, upscaler, repmap) in enumerate(block_group): + for j in range(len(repmap) + 1): + for k, block in enumerate(up_block): + if isinstance(block, ResBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + ResBlock)): + skip = level_outputs[i] if k == 0 and i > 0 else None + if skip is not None and (x.size(-1) != skip.size(-1) or x.size(-2) != skip.size(-2)): + x = torch.nn.functional.interpolate(x, skip.shape[-2:], mode='bilinear', + align_corners=True) + x = block(x, skip) + elif isinstance(block, AttnBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + AttnBlock)): + x = block(x, clip, transformer_options=transformer_options) + elif isinstance(block, TimestepBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + TimestepBlock)): + x = block(x, r_embed) + else: + x = block(x) + if j < len(repmap): + x = repmap[j](x) + x = upscaler(x) + return x + + def forward(self, x, r, effnet, clip, pixels=None, transformer_options={}, **kwargs): + if pixels is None: + pixels = x.new_zeros(x.size(0), 3, 8, 8) + + # Process the conditioning embeddings + r_embed = self.gen_r_embedding(r).to(dtype=x.dtype) + for c in self.t_conds: + t_cond = kwargs.get(c, torch.zeros_like(r)) + r_embed = torch.cat([r_embed, self.gen_r_embedding(t_cond).to(dtype=x.dtype)], dim=1) + clip = self.gen_c_embeddings(clip) + + # Model Blocks + x = self.embedding(x) + x = x + self.effnet_mapper( + nn.functional.interpolate(effnet, size=x.shape[-2:], mode='bilinear', align_corners=True)) + x = x + nn.functional.interpolate(self.pixels_mapper(pixels), size=x.shape[-2:], mode='bilinear', + align_corners=True) + level_outputs = self._down_encode(x, r_embed, clip, transformer_options=transformer_options) + x = self._up_decode(level_outputs, r_embed, clip, transformer_options=transformer_options) + return self.clf(x) + + def update_weights_ema(self, src_model, beta=0.999): + for self_params, src_params in zip(self.parameters(), src_model.parameters()): + self_params.data = self_params.data * beta + src_params.data.clone().to(self_params.device) * (1 - beta) + for self_buffers, src_buffers in zip(self.buffers(), src_model.buffers()): + self_buffers.data = self_buffers.data * beta + src_buffers.data.clone().to(self_buffers.device) * (1 - beta) diff --git a/comfy/ldm/cascade/stage_c.py b/comfy/ldm/cascade/stage_c.py new file mode 100644 index 0000000000000000000000000000000000000000..ebc4434e2bf1b5d7839f0003f5c6036429e7f9dd --- /dev/null +++ b/comfy/ldm/cascade/stage_c.py @@ -0,0 +1,273 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torch +from torch import nn +import math +from .common import AttnBlock, LayerNorm2d_op, ResBlock, FeedForwardBlock, TimestepBlock +# from .controlnet import ControlNetDeliverer + +class UpDownBlock2d(nn.Module): + def __init__(self, c_in, c_out, mode, enabled=True, dtype=None, device=None, operations=None): + super().__init__() + assert mode in ['up', 'down'] + interpolation = nn.Upsample(scale_factor=2 if mode == 'up' else 0.5, mode='bilinear', + align_corners=True) if enabled else nn.Identity() + mapping = operations.Conv2d(c_in, c_out, kernel_size=1, dtype=dtype, device=device) + self.blocks = nn.ModuleList([interpolation, mapping] if mode == 'up' else [mapping, interpolation]) + + def forward(self, x): + for block in self.blocks: + x = block(x) + return x + + +class StageC(nn.Module): + def __init__(self, c_in=16, c_out=16, c_r=64, patch_size=1, c_cond=2048, c_hidden=[2048, 2048], nhead=[32, 32], + blocks=[[8, 24], [24, 8]], block_repeat=[[1, 1], [1, 1]], level_config=['CTA', 'CTA'], + c_clip_text=1280, c_clip_text_pooled=1280, c_clip_img=768, c_clip_seq=4, kernel_size=3, + dropout=[0.0, 0.0], self_attn=True, t_conds=['sca', 'crp'], switch_level=[False], stable_cascade_stage=None, + dtype=None, device=None, operations=None): + super().__init__() + self.dtype = dtype + self.c_r = c_r + self.t_conds = t_conds + self.c_clip_seq = c_clip_seq + if not isinstance(dropout, list): + dropout = [dropout] * len(c_hidden) + if not isinstance(self_attn, list): + self_attn = [self_attn] * len(c_hidden) + + # CONDITIONING + self.clip_txt_mapper = operations.Linear(c_clip_text, c_cond, dtype=dtype, device=device) + self.clip_txt_pooled_mapper = operations.Linear(c_clip_text_pooled, c_cond * c_clip_seq, dtype=dtype, device=device) + self.clip_img_mapper = operations.Linear(c_clip_img, c_cond * c_clip_seq, dtype=dtype, device=device) + self.clip_norm = operations.LayerNorm(c_cond, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + + self.embedding = nn.Sequential( + nn.PixelUnshuffle(patch_size), + operations.Conv2d(c_in * (patch_size ** 2), c_hidden[0], kernel_size=1, dtype=dtype, device=device), + LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6) + ) + + def get_block(block_type, c_hidden, nhead, c_skip=0, dropout=0, self_attn=True): + if block_type == 'C': + return ResBlock(c_hidden, c_skip, kernel_size=kernel_size, dropout=dropout, dtype=dtype, device=device, operations=operations) + elif block_type == 'A': + return AttnBlock(c_hidden, c_cond, nhead, self_attn=self_attn, dropout=dropout, dtype=dtype, device=device, operations=operations) + elif block_type == 'F': + return FeedForwardBlock(c_hidden, dropout=dropout, dtype=dtype, device=device, operations=operations) + elif block_type == 'T': + return TimestepBlock(c_hidden, c_r, conds=t_conds, dtype=dtype, device=device, operations=operations) + else: + raise Exception(f'Block type {block_type} not supported') + + # BLOCKS + # -- down blocks + self.down_blocks = nn.ModuleList() + self.down_downscalers = nn.ModuleList() + self.down_repeat_mappers = nn.ModuleList() + for i in range(len(c_hidden)): + if i > 0: + self.down_downscalers.append(nn.Sequential( + LayerNorm2d_op(operations)(c_hidden[i - 1], elementwise_affine=False, eps=1e-6), + UpDownBlock2d(c_hidden[i - 1], c_hidden[i], mode='down', enabled=switch_level[i - 1], dtype=dtype, device=device, operations=operations) + )) + else: + self.down_downscalers.append(nn.Identity()) + down_block = nn.ModuleList() + for _ in range(blocks[0][i]): + for block_type in level_config[i]: + block = get_block(block_type, c_hidden[i], nhead[i], dropout=dropout[i], self_attn=self_attn[i]) + down_block.append(block) + self.down_blocks.append(down_block) + if block_repeat is not None: + block_repeat_mappers = nn.ModuleList() + for _ in range(block_repeat[0][i] - 1): + block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device)) + self.down_repeat_mappers.append(block_repeat_mappers) + + # -- up blocks + self.up_blocks = nn.ModuleList() + self.up_upscalers = nn.ModuleList() + self.up_repeat_mappers = nn.ModuleList() + for i in reversed(range(len(c_hidden))): + if i > 0: + self.up_upscalers.append(nn.Sequential( + LayerNorm2d_op(operations)(c_hidden[i], elementwise_affine=False, eps=1e-6), + UpDownBlock2d(c_hidden[i], c_hidden[i - 1], mode='up', enabled=switch_level[i - 1], dtype=dtype, device=device, operations=operations) + )) + else: + self.up_upscalers.append(nn.Identity()) + up_block = nn.ModuleList() + for j in range(blocks[1][::-1][i]): + for k, block_type in enumerate(level_config[i]): + c_skip = c_hidden[i] if i < len(c_hidden) - 1 and j == k == 0 else 0 + block = get_block(block_type, c_hidden[i], nhead[i], c_skip=c_skip, dropout=dropout[i], + self_attn=self_attn[i]) + up_block.append(block) + self.up_blocks.append(up_block) + if block_repeat is not None: + block_repeat_mappers = nn.ModuleList() + for _ in range(block_repeat[1][::-1][i] - 1): + block_repeat_mappers.append(operations.Conv2d(c_hidden[i], c_hidden[i], kernel_size=1, dtype=dtype, device=device)) + self.up_repeat_mappers.append(block_repeat_mappers) + + # OUTPUT + self.clf = nn.Sequential( + LayerNorm2d_op(operations)(c_hidden[0], elementwise_affine=False, eps=1e-6, dtype=dtype, device=device), + operations.Conv2d(c_hidden[0], c_out * (patch_size ** 2), kernel_size=1, dtype=dtype, device=device), + nn.PixelShuffle(patch_size), + ) + + # --- WEIGHT INIT --- + # self.apply(self._init_weights) # General init + # nn.init.normal_(self.clip_txt_mapper.weight, std=0.02) # conditionings + # nn.init.normal_(self.clip_txt_pooled_mapper.weight, std=0.02) # conditionings + # nn.init.normal_(self.clip_img_mapper.weight, std=0.02) # conditionings + # torch.nn.init.xavier_uniform_(self.embedding[1].weight, 0.02) # inputs + # nn.init.constant_(self.clf[1].weight, 0) # outputs + # + # # blocks + # for level_block in self.down_blocks + self.up_blocks: + # for block in level_block: + # if isinstance(block, ResBlock) or isinstance(block, FeedForwardBlock): + # block.channelwise[-1].weight.data *= np.sqrt(1 / sum(blocks[0])) + # elif isinstance(block, TimestepBlock): + # for layer in block.modules(): + # if isinstance(layer, nn.Linear): + # nn.init.constant_(layer.weight, 0) + # + # def _init_weights(self, m): + # if isinstance(m, (nn.Conv2d, nn.Linear)): + # torch.nn.init.xavier_uniform_(m.weight) + # if m.bias is not None: + # nn.init.constant_(m.bias, 0) + + def gen_r_embedding(self, r, max_positions=10000): + r = r * max_positions + half_dim = self.c_r // 2 + emb = math.log(max_positions) / (half_dim - 1) + emb = torch.arange(half_dim, device=r.device).float().mul(-emb).exp() + emb = r[:, None] * emb[None, :] + emb = torch.cat([emb.sin(), emb.cos()], dim=1) + if self.c_r % 2 == 1: # zero pad + emb = nn.functional.pad(emb, (0, 1), mode='constant') + return emb + + def gen_c_embeddings(self, clip_txt, clip_txt_pooled, clip_img): + clip_txt = self.clip_txt_mapper(clip_txt) + if len(clip_txt_pooled.shape) == 2: + clip_txt_pooled = clip_txt_pooled.unsqueeze(1) + if len(clip_img.shape) == 2: + clip_img = clip_img.unsqueeze(1) + clip_txt_pool = self.clip_txt_pooled_mapper(clip_txt_pooled).view(clip_txt_pooled.size(0), clip_txt_pooled.size(1) * self.c_clip_seq, -1) + clip_img = self.clip_img_mapper(clip_img).view(clip_img.size(0), clip_img.size(1) * self.c_clip_seq, -1) + clip = torch.cat([clip_txt, clip_txt_pool, clip_img], dim=1) + clip = self.clip_norm(clip) + return clip + + def _down_encode(self, x, r_embed, clip, cnet=None, transformer_options={}): + level_outputs = [] + block_group = zip(self.down_blocks, self.down_downscalers, self.down_repeat_mappers) + for down_block, downscaler, repmap in block_group: + x = downscaler(x) + for i in range(len(repmap) + 1): + for block in down_block: + if isinstance(block, ResBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + ResBlock)): + if cnet is not None: + next_cnet = cnet.pop() + if next_cnet is not None: + x = x + nn.functional.interpolate(next_cnet, size=x.shape[-2:], mode='bilinear', + align_corners=True).to(x.dtype) + x = block(x) + elif isinstance(block, AttnBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + AttnBlock)): + x = block(x, clip, transformer_options=transformer_options) + elif isinstance(block, TimestepBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + TimestepBlock)): + x = block(x, r_embed) + else: + x = block(x) + if i < len(repmap): + x = repmap[i](x) + level_outputs.insert(0, x) + return level_outputs + + def _up_decode(self, level_outputs, r_embed, clip, cnet=None, transformer_options={}): + x = level_outputs[0] + block_group = zip(self.up_blocks, self.up_upscalers, self.up_repeat_mappers) + for i, (up_block, upscaler, repmap) in enumerate(block_group): + for j in range(len(repmap) + 1): + for k, block in enumerate(up_block): + if isinstance(block, ResBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + ResBlock)): + skip = level_outputs[i] if k == 0 and i > 0 else None + if skip is not None and (x.size(-1) != skip.size(-1) or x.size(-2) != skip.size(-2)): + x = torch.nn.functional.interpolate(x, skip.shape[-2:], mode='bilinear', + align_corners=True) + if cnet is not None: + next_cnet = cnet.pop() + if next_cnet is not None: + x = x + nn.functional.interpolate(next_cnet, size=x.shape[-2:], mode='bilinear', + align_corners=True).to(x.dtype) + x = block(x, skip) + elif isinstance(block, AttnBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + AttnBlock)): + x = block(x, clip, transformer_options=transformer_options) + elif isinstance(block, TimestepBlock) or ( + hasattr(block, '_fsdp_wrapped_module') and isinstance(block._fsdp_wrapped_module, + TimestepBlock)): + x = block(x, r_embed) + else: + x = block(x) + if j < len(repmap): + x = repmap[j](x) + x = upscaler(x) + return x + + def forward(self, x, r, clip_text, clip_text_pooled, clip_img, control=None, transformer_options={}, **kwargs): + # Process the conditioning embeddings + r_embed = self.gen_r_embedding(r).to(dtype=x.dtype) + for c in self.t_conds: + t_cond = kwargs.get(c, torch.zeros_like(r)) + r_embed = torch.cat([r_embed, self.gen_r_embedding(t_cond).to(dtype=x.dtype)], dim=1) + clip = self.gen_c_embeddings(clip_text, clip_text_pooled, clip_img) + + if control is not None: + cnet = control.get("input") + else: + cnet = None + + # Model Blocks + x = self.embedding(x) + level_outputs = self._down_encode(x, r_embed, clip, cnet, transformer_options=transformer_options) + x = self._up_decode(level_outputs, r_embed, clip, cnet, transformer_options=transformer_options) + return self.clf(x) + + def update_weights_ema(self, src_model, beta=0.999): + for self_params, src_params in zip(self.parameters(), src_model.parameters()): + self_params.data = self_params.data * beta + src_params.data.clone().to(self_params.device) * (1 - beta) + for self_buffers, src_buffers in zip(self.buffers(), src_model.buffers()): + self_buffers.data = self_buffers.data * beta + src_buffers.data.clone().to(self_buffers.device) * (1 - beta) diff --git a/comfy/ldm/cascade/stage_c_coder.py b/comfy/ldm/cascade/stage_c_coder.py new file mode 100644 index 0000000000000000000000000000000000000000..b467a70a848edeef57d7911ac844868b251f8e45 --- /dev/null +++ b/comfy/ldm/cascade/stage_c_coder.py @@ -0,0 +1,98 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" +import torch +import torchvision +from torch import nn + +import comfy.ops + +ops = comfy.ops.disable_weight_init + +# EfficientNet +class EfficientNetEncoder(nn.Module): + def __init__(self, c_latent=16): + super().__init__() + self.backbone = torchvision.models.efficientnet_v2_s().features.eval() + self.mapper = nn.Sequential( + ops.Conv2d(1280, c_latent, kernel_size=1, bias=False), + nn.BatchNorm2d(c_latent, affine=False), # then normalize them to have mean 0 and std 1 + ) + self.mean = nn.Parameter(torch.tensor([0.485, 0.456, 0.406])) + self.std = nn.Parameter(torch.tensor([0.229, 0.224, 0.225])) + + def forward(self, x): + x = x * 0.5 + 0.5 + x = (x - self.mean.view([3,1,1]).to(device=x.device, dtype=x.dtype)) / self.std.view([3,1,1]).to(device=x.device, dtype=x.dtype) + o = self.mapper(self.backbone(x)) + return o + + +# Fast Decoder for Stage C latents. E.g. 16 x 24 x 24 -> 3 x 192 x 192 +class Previewer(nn.Module): + def __init__(self, c_in=16, c_hidden=512, c_out=3): + super().__init__() + self.blocks = nn.Sequential( + ops.Conv2d(c_in, c_hidden, kernel_size=1), # 16 channels to 512 channels + nn.GELU(), + nn.BatchNorm2d(c_hidden), + + ops.Conv2d(c_hidden, c_hidden, kernel_size=3, padding=1), + nn.GELU(), + nn.BatchNorm2d(c_hidden), + + ops.ConvTranspose2d(c_hidden, c_hidden // 2, kernel_size=2, stride=2), # 16 -> 32 + nn.GELU(), + nn.BatchNorm2d(c_hidden // 2), + + ops.Conv2d(c_hidden // 2, c_hidden // 2, kernel_size=3, padding=1), + nn.GELU(), + nn.BatchNorm2d(c_hidden // 2), + + ops.ConvTranspose2d(c_hidden // 2, c_hidden // 4, kernel_size=2, stride=2), # 32 -> 64 + nn.GELU(), + nn.BatchNorm2d(c_hidden // 4), + + ops.Conv2d(c_hidden // 4, c_hidden // 4, kernel_size=3, padding=1), + nn.GELU(), + nn.BatchNorm2d(c_hidden // 4), + + ops.ConvTranspose2d(c_hidden // 4, c_hidden // 4, kernel_size=2, stride=2), # 64 -> 128 + nn.GELU(), + nn.BatchNorm2d(c_hidden // 4), + + ops.Conv2d(c_hidden // 4, c_hidden // 4, kernel_size=3, padding=1), + nn.GELU(), + nn.BatchNorm2d(c_hidden // 4), + + ops.Conv2d(c_hidden // 4, c_out, kernel_size=1), + ) + + def forward(self, x): + return (self.blocks(x) - 0.5) * 2.0 + +class StageC_coder(nn.Module): + def __init__(self): + super().__init__() + self.previewer = Previewer() + self.encoder = EfficientNetEncoder() + + def encode(self, x): + return self.encoder(x) + + def decode(self, x): + return self.previewer(x) diff --git a/comfy/ldm/chroma/layers.py b/comfy/ldm/chroma/layers.py new file mode 100644 index 0000000000000000000000000000000000000000..fc7110cce50e5ba0de42dc1a4f586d2c87186fc8 --- /dev/null +++ b/comfy/ldm/chroma/layers.py @@ -0,0 +1,181 @@ +import torch +from torch import Tensor, nn + +from comfy.ldm.flux.math import attention +from comfy.ldm.flux.layers import ( + MLPEmbedder, + RMSNorm, + QKNorm, + SelfAttention, + ModulationOut, +) + + + +class ChromaModulationOut(ModulationOut): + @classmethod + def from_offset(cls, tensor: torch.Tensor, offset: int = 0) -> ModulationOut: + return cls( + shift=tensor[:, offset : offset + 1, :], + scale=tensor[:, offset + 1 : offset + 2, :], + gate=tensor[:, offset + 2 : offset + 3, :], + ) + + + + +class Approximator(nn.Module): + def __init__(self, in_dim: int, out_dim: int, hidden_dim: int, n_layers = 5, dtype=None, device=None, operations=None): + super().__init__() + self.in_proj = operations.Linear(in_dim, hidden_dim, bias=True, dtype=dtype, device=device) + self.layers = nn.ModuleList([MLPEmbedder(hidden_dim, hidden_dim, dtype=dtype, device=device, operations=operations) for x in range( n_layers)]) + self.norms = nn.ModuleList([RMSNorm(hidden_dim, dtype=dtype, device=device, operations=operations) for x in range( n_layers)]) + self.out_proj = operations.Linear(hidden_dim, out_dim, dtype=dtype, device=device) + + @property + def device(self): + # Get the device of the module (assumes all parameters are on the same device) + return next(self.parameters()).device + + def forward(self, x: Tensor) -> Tensor: + x = self.in_proj(x) + + for layer, norms in zip(self.layers, self.norms): + x = x + layer(norms(x)) + + x = self.out_proj(x) + + return x + + +class DoubleStreamBlock(nn.Module): + def __init__(self, hidden_size: int, num_heads: int, mlp_ratio: float, qkv_bias: bool = False, flipped_img_txt=False, dtype=None, device=None, operations=None): + super().__init__() + + mlp_hidden_dim = int(hidden_size * mlp_ratio) + self.num_heads = num_heads + self.hidden_size = hidden_size + self.img_norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.img_attn = SelfAttention(dim=hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, dtype=dtype, device=device, operations=operations) + + self.img_norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.img_mlp = nn.Sequential( + operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device), + nn.GELU(approximate="tanh"), + operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device), + ) + + self.txt_norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.txt_attn = SelfAttention(dim=hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, dtype=dtype, device=device, operations=operations) + + self.txt_norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.txt_mlp = nn.Sequential( + operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device), + nn.GELU(approximate="tanh"), + operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device), + ) + self.flipped_img_txt = flipped_img_txt + + def forward(self, img: Tensor, txt: Tensor, pe: Tensor, vec: Tensor, attn_mask=None, transformer_options={}): + (img_mod1, img_mod2), (txt_mod1, txt_mod2) = vec + + # prepare image for attention + img_modulated = torch.addcmul(img_mod1.shift, 1 + img_mod1.scale, self.img_norm1(img)) + img_qkv = self.img_attn.qkv(img_modulated) + img_q, img_k, img_v = img_qkv.view(img_qkv.shape[0], img_qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + img_q, img_k = self.img_attn.norm(img_q, img_k, img_v) + + # prepare txt for attention + txt_modulated = torch.addcmul(txt_mod1.shift, 1 + txt_mod1.scale, self.txt_norm1(txt)) + txt_qkv = self.txt_attn.qkv(txt_modulated) + txt_q, txt_k, txt_v = txt_qkv.view(txt_qkv.shape[0], txt_qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + txt_q, txt_k = self.txt_attn.norm(txt_q, txt_k, txt_v) + + # run actual attention + attn = attention(torch.cat((txt_q, img_q), dim=2), + torch.cat((txt_k, img_k), dim=2), + torch.cat((txt_v, img_v), dim=2), + pe=pe, mask=attn_mask, transformer_options=transformer_options) + + txt_attn, img_attn = attn[:, : txt.shape[1]], attn[:, txt.shape[1] :] + + # calculate the img bloks + img.addcmul_(img_mod1.gate, self.img_attn.proj(img_attn)) + img.addcmul_(img_mod2.gate, self.img_mlp(torch.addcmul(img_mod2.shift, 1 + img_mod2.scale, self.img_norm2(img)))) + + # calculate the txt bloks + txt.addcmul_(txt_mod1.gate, self.txt_attn.proj(txt_attn)) + txt.addcmul_(txt_mod2.gate, self.txt_mlp(torch.addcmul(txt_mod2.shift, 1 + txt_mod2.scale, self.txt_norm2(txt)))) + + if txt.dtype == torch.float16: + txt = torch.nan_to_num(txt, nan=0.0, posinf=65504, neginf=-65504) + + return img, txt + + +class SingleStreamBlock(nn.Module): + """ + A DiT block with parallel linear layers as described in + https://arxiv.org/abs/2302.05442 and adapted modulation interface. + """ + + def __init__( + self, + hidden_size: int, + num_heads: int, + mlp_ratio: float = 4.0, + qk_scale: float = None, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.hidden_dim = hidden_size + self.num_heads = num_heads + head_dim = hidden_size // num_heads + self.scale = qk_scale or head_dim**-0.5 + + self.mlp_hidden_dim = int(hidden_size * mlp_ratio) + # qkv and mlp_in + self.linear1 = operations.Linear(hidden_size, hidden_size * 3 + self.mlp_hidden_dim, dtype=dtype, device=device) + # proj and mlp_out + self.linear2 = operations.Linear(hidden_size + self.mlp_hidden_dim, hidden_size, dtype=dtype, device=device) + + self.norm = QKNorm(head_dim, dtype=dtype, device=device, operations=operations) + + self.hidden_size = hidden_size + self.pre_norm = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + + self.mlp_act = nn.GELU(approximate="tanh") + + def forward(self, x: Tensor, pe: Tensor, vec: Tensor, attn_mask=None, transformer_options={}) -> Tensor: + mod = vec + x_mod = torch.addcmul(mod.shift, 1 + mod.scale, self.pre_norm(x)) + qkv, mlp = torch.split(self.linear1(x_mod), [3 * self.hidden_size, self.mlp_hidden_dim], dim=-1) + + q, k, v = qkv.view(qkv.shape[0], qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + q, k = self.norm(q, k, v) + + # compute attention + attn = attention(q, k, v, pe=pe, mask=attn_mask, transformer_options=transformer_options) + # compute activation in mlp stream, cat again and run second linear layer + output = self.linear2(torch.cat((attn, self.mlp_act(mlp)), 2)) + x.addcmul_(mod.gate, output) + if x.dtype == torch.float16: + x = torch.nan_to_num(x, nan=0.0, posinf=65504, neginf=-65504) + return x + + +class LastLayer(nn.Module): + def __init__(self, hidden_size: int, patch_size: int, out_channels: int, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(hidden_size, out_channels, bias=True, dtype=dtype, device=device) + + def forward(self, x: Tensor, vec: Tensor) -> Tensor: + shift, scale = vec + shift = shift.squeeze(1) + scale = scale.squeeze(1) + x = torch.addcmul(shift[:, None, :], 1 + scale[:, None, :], self.norm_final(x)) + x = self.linear(x) + return x diff --git a/comfy/ldm/chroma/model.py b/comfy/ldm/chroma/model.py new file mode 100644 index 0000000000000000000000000000000000000000..ad1c523fe1d36a479e52c7551d1dcfbdd7fdb230 --- /dev/null +++ b/comfy/ldm/chroma/model.py @@ -0,0 +1,285 @@ +#Original code can be found on: https://github.com/black-forest-labs/flux + +from dataclasses import dataclass + +import torch +from torch import Tensor, nn +from einops import rearrange, repeat +import comfy.patcher_extension +import comfy.ldm.common_dit + +from comfy.ldm.flux.layers import ( + EmbedND, + timestep_embedding, +) + +from .layers import ( + DoubleStreamBlock, + LastLayer, + SingleStreamBlock, + Approximator, + ChromaModulationOut, +) + + +@dataclass +class ChromaParams: + in_channels: int + out_channels: int + context_in_dim: int + hidden_size: int + mlp_ratio: float + num_heads: int + depth: int + depth_single_blocks: int + axes_dim: list + theta: int + patch_size: int + qkv_bias: bool + in_dim: int + out_dim: int + hidden_dim: int + n_layers: int + + + + +class Chroma(nn.Module): + """ + Transformer model for flow matching on sequences. + """ + + def __init__(self, image_model=None, final_layer=True, dtype=None, device=None, operations=None, **kwargs): + super().__init__() + self.dtype = dtype + params = ChromaParams(**kwargs) + self.params = params + self.patch_size = params.patch_size + self.in_channels = params.in_channels + self.out_channels = params.out_channels + if params.hidden_size % params.num_heads != 0: + raise ValueError( + f"Hidden size {params.hidden_size} must be divisible by num_heads {params.num_heads}" + ) + pe_dim = params.hidden_size // params.num_heads + if sum(params.axes_dim) != pe_dim: + raise ValueError(f"Got {params.axes_dim} but expected positional dim {pe_dim}") + self.hidden_size = params.hidden_size + self.num_heads = params.num_heads + self.in_dim = params.in_dim + self.out_dim = params.out_dim + self.hidden_dim = params.hidden_dim + self.n_layers = params.n_layers + self.pe_embedder = EmbedND(dim=pe_dim, theta=params.theta, axes_dim=params.axes_dim) + self.img_in = operations.Linear(self.in_channels, self.hidden_size, bias=True, dtype=dtype, device=device) + self.txt_in = operations.Linear(params.context_in_dim, self.hidden_size, dtype=dtype, device=device) + # set as nn identity for now, will overwrite it later. + self.distilled_guidance_layer = Approximator( + in_dim=self.in_dim, + hidden_dim=self.hidden_dim, + out_dim=self.out_dim, + n_layers=self.n_layers, + dtype=dtype, device=device, operations=operations + ) + + + self.double_blocks = nn.ModuleList( + [ + DoubleStreamBlock( + self.hidden_size, + self.num_heads, + mlp_ratio=params.mlp_ratio, + qkv_bias=params.qkv_bias, + dtype=dtype, device=device, operations=operations + ) + for _ in range(params.depth) + ] + ) + + self.single_blocks = nn.ModuleList( + [ + SingleStreamBlock(self.hidden_size, self.num_heads, mlp_ratio=params.mlp_ratio, dtype=dtype, device=device, operations=operations) + for _ in range(params.depth_single_blocks) + ] + ) + + if final_layer: + self.final_layer = LastLayer(self.hidden_size, 1, self.out_channels, dtype=dtype, device=device, operations=operations) + + self.skip_mmdit = [] + self.skip_dit = [] + self.lite = False + + def get_modulations(self, tensor: torch.Tensor, block_type: str, *, idx: int = 0): + # This function slices up the modulations tensor which has the following layout: + # single : num_single_blocks * 3 elements + # double_img : num_double_blocks * 6 elements + # double_txt : num_double_blocks * 6 elements + # final : 2 elements + if block_type == "final": + return (tensor[:, -2:-1, :], tensor[:, -1:, :]) + single_block_count = self.params.depth_single_blocks + double_block_count = self.params.depth + offset = 3 * idx + if block_type == "single": + return ChromaModulationOut.from_offset(tensor, offset) + # Double block modulations are 6 elements so we double 3 * idx. + offset *= 2 + if block_type in {"double_img", "double_txt"}: + # Advance past the single block modulations. + offset += 3 * single_block_count + if block_type == "double_txt": + # Advance past the double block img modulations. + offset += 6 * double_block_count + return ( + ChromaModulationOut.from_offset(tensor, offset), + ChromaModulationOut.from_offset(tensor, offset + 3), + ) + raise ValueError("Bad block_type") + + + def forward_orig( + self, + img: Tensor, + img_ids: Tensor, + txt: Tensor, + txt_ids: Tensor, + timesteps: Tensor, + guidance: Tensor = None, + control = None, + transformer_options={}, + attn_mask: Tensor = None, + ) -> Tensor: + patches_replace = transformer_options.get("patches_replace", {}) + + # running on sequences img + img = self.img_in(img) + + # distilled vector guidance + mod_index_length = 344 + distill_timestep = timestep_embedding(timesteps.detach().clone(), 16).to(img.device, img.dtype) + # guidance = guidance * + distil_guidance = timestep_embedding(guidance.detach().clone(), 16).to(img.device, img.dtype) + + # get all modulation index + modulation_index = timestep_embedding(torch.arange(mod_index_length, device=img.device), 32).to(img.device, img.dtype) + # we need to broadcast the modulation index here so each batch has all of the index + modulation_index = modulation_index.unsqueeze(0).repeat(img.shape[0], 1, 1).to(img.device, img.dtype) + # and we need to broadcast timestep and guidance along too + timestep_guidance = torch.cat([distill_timestep, distil_guidance], dim=1).unsqueeze(1).repeat(1, mod_index_length, 1).to(img.dtype).to(img.device, img.dtype) + # then and only then we could concatenate it together + input_vec = torch.cat([timestep_guidance, modulation_index], dim=-1).to(img.device, img.dtype) + + mod_vectors = self.distilled_guidance_layer(input_vec) + + txt = self.txt_in(txt) + + ids = torch.cat((txt_ids, img_ids), dim=1) + pe = self.pe_embedder(ids) + + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.double_blocks): + if i not in self.skip_mmdit: + double_mod = ( + self.get_modulations(mod_vectors, "double_img", idx=i), + self.get_modulations(mod_vectors, "double_txt", idx=i), + ) + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"], out["txt"] = block(img=args["img"], + txt=args["txt"], + vec=args["vec"], + pe=args["pe"], + attn_mask=args.get("attn_mask"), + transformer_options=args.get("transformer_options")) + return out + + out = blocks_replace[("double_block", i)]({"img": img, + "txt": txt, + "vec": double_mod, + "pe": pe, + "attn_mask": attn_mask, + "transformer_options": transformer_options}, + {"original_block": block_wrap}) + txt = out["txt"] + img = out["img"] + else: + img, txt = block(img=img, + txt=txt, + vec=double_mod, + pe=pe, + attn_mask=attn_mask, + transformer_options=transformer_options) + + if control is not None: # Controlnet + control_i = control.get("input") + if i < len(control_i): + add = control_i[i] + if add is not None: + img += add + + img = torch.cat((txt, img), 1) + + for i, block in enumerate(self.single_blocks): + if i not in self.skip_dit: + single_mod = self.get_modulations(mod_vectors, "single", idx=i) + if ("single_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], + vec=args["vec"], + pe=args["pe"], + attn_mask=args.get("attn_mask"), + transformer_options=args.get("transformer_options")) + return out + + out = blocks_replace[("single_block", i)]({"img": img, + "vec": single_mod, + "pe": pe, + "attn_mask": attn_mask, + "transformer_options": transformer_options}, + {"original_block": block_wrap}) + img = out["img"] + else: + img = block(img, vec=single_mod, pe=pe, attn_mask=attn_mask, transformer_options=transformer_options) + + if control is not None: # Controlnet + control_o = control.get("output") + if i < len(control_o): + add = control_o[i] + if add is not None: + img[:, txt.shape[1] :, ...] += add + + img = img[:, txt.shape[1] :, ...] + if hasattr(self, "final_layer"): + final_mod = self.get_modulations(mod_vectors, "final") + img = self.final_layer(img, vec=final_mod) # (N, T, patch_size ** 2 * out_channels) + return img + + def forward(self, x, timestep, context, guidance, control=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, guidance, control, transformer_options, **kwargs) + + def _forward(self, x, timestep, context, guidance, control=None, transformer_options={}, **kwargs): + bs, c, h, w = x.shape + x = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size)) + + img = rearrange(x, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=self.patch_size, pw=self.patch_size) + + if img.ndim != 3 or context.ndim != 3: + raise ValueError("Input img and txt tensors must have 3 dimensions.") + + h_len = ((h + (self.patch_size // 2)) // self.patch_size) + w_len = ((w + (self.patch_size // 2)) // self.patch_size) + img_ids = torch.zeros((h_len, w_len, 3), device=x.device, dtype=x.dtype) + img_ids[:, :, 1] = img_ids[:, :, 1] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype).unsqueeze(1) + img_ids[:, :, 2] = img_ids[:, :, 2] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype).unsqueeze(0) + img_ids = repeat(img_ids, "h w c -> b (h w) c", b=bs) + + txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype) + out = self.forward_orig(img, img_ids, context, txt_ids, timestep, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) + return rearrange(out, "b (h w) (c ph pw) -> b c (h ph) (w pw)", h=h_len, w=w_len, ph=self.patch_size, pw=self.patch_size)[:,:,:h,:w] diff --git a/comfy/ldm/chroma_radiance/layers.py b/comfy/ldm/chroma_radiance/layers.py new file mode 100644 index 0000000000000000000000000000000000000000..3c7bc9b6b9850a47e86649396e29fef06a678ecb --- /dev/null +++ b/comfy/ldm/chroma_radiance/layers.py @@ -0,0 +1,206 @@ +# Adapted from https://github.com/lodestone-rock/flow +from functools import lru_cache + +import torch +from torch import nn + +from comfy.ldm.flux.layers import RMSNorm + + +class NerfEmbedder(nn.Module): + """ + An embedder module that combines input features with a 2D positional + encoding that mimics the Discrete Cosine Transform (DCT). + + This module takes an input tensor of shape (B, P^2, C), where P is the + patch size, and enriches it with positional information before projecting + it to a new hidden size. + """ + def __init__( + self, + in_channels: int, + hidden_size_input: int, + max_freqs: int, + dtype=None, + device=None, + operations=None, + ): + """ + Initializes the NerfEmbedder. + + Args: + in_channels (int): The number of channels in the input tensor. + hidden_size_input (int): The desired dimension of the output embedding. + max_freqs (int): The number of frequency components to use for both + the x and y dimensions of the positional encoding. + The total number of positional features will be max_freqs^2. + """ + super().__init__() + self.dtype = dtype + self.max_freqs = max_freqs + self.hidden_size_input = hidden_size_input + + # A linear layer to project the concatenated input features and + # positional encodings to the final output dimension. + self.embedder = nn.Sequential( + operations.Linear(in_channels + max_freqs**2, hidden_size_input, dtype=dtype, device=device) + ) + + @lru_cache(maxsize=4) + def fetch_pos(self, patch_size: int, device: torch.device, dtype: torch.dtype) -> torch.Tensor: + """ + Generates and caches 2D DCT-like positional embeddings for a given patch size. + + The LRU cache is a performance optimization that avoids recomputing the + same positional grid on every forward pass. + + Args: + patch_size (int): The side length of the square input patch. + device: The torch device to create the tensors on. + dtype: The torch dtype for the tensors. + + Returns: + A tensor of shape (1, patch_size^2, max_freqs^2) containing the + positional embeddings. + """ + # Create normalized 1D coordinate grids from 0 to 1. + pos_x = torch.linspace(0, 1, patch_size, device=device, dtype=dtype) + pos_y = torch.linspace(0, 1, patch_size, device=device, dtype=dtype) + + # Create a 2D meshgrid of coordinates. + pos_y, pos_x = torch.meshgrid(pos_y, pos_x, indexing="ij") + + # Reshape positions to be broadcastable with frequencies. + # Shape becomes (patch_size^2, 1, 1). + pos_x = pos_x.reshape(-1, 1, 1) + pos_y = pos_y.reshape(-1, 1, 1) + + # Create a 1D tensor of frequency values from 0 to max_freqs-1. + freqs = torch.linspace(0, self.max_freqs - 1, self.max_freqs, dtype=dtype, device=device) + + # Reshape frequencies to be broadcastable for creating 2D basis functions. + # freqs_x shape: (1, max_freqs, 1) + # freqs_y shape: (1, 1, max_freqs) + freqs_x = freqs[None, :, None] + freqs_y = freqs[None, None, :] + + # A custom weighting coefficient, not part of standard DCT. + # This seems to down-weight the contribution of higher-frequency interactions. + coeffs = (1 + freqs_x * freqs_y) ** -1 + + # Calculate the 1D cosine basis functions for x and y coordinates. + # This is the core of the DCT formulation. + dct_x = torch.cos(pos_x * freqs_x * torch.pi) + dct_y = torch.cos(pos_y * freqs_y * torch.pi) + + # Combine the 1D basis functions to create 2D basis functions by element-wise + # multiplication, and apply the custom coefficients. Broadcasting handles the + # combination of all (pos_x, freqs_x) with all (pos_y, freqs_y). + # The result is flattened into a feature vector for each position. + dct = (dct_x * dct_y * coeffs).view(1, -1, self.max_freqs ** 2) + + return dct + + def forward(self, inputs: torch.Tensor) -> torch.Tensor: + """ + Forward pass for the embedder. + + Args: + inputs (Tensor): The input tensor of shape (B, P^2, C). + + Returns: + Tensor: The output tensor of shape (B, P^2, hidden_size_input). + """ + # Get the batch size, number of pixels, and number of channels. + B, P2, C = inputs.shape + + # Infer the patch side length from the number of pixels (P^2). + patch_size = int(P2 ** 0.5) + + input_dtype = inputs.dtype + inputs = inputs.to(dtype=self.dtype) + + # Fetch the pre-computed or cached positional embeddings. + dct = self.fetch_pos(patch_size, inputs.device, self.dtype) + + # Repeat the positional embeddings for each item in the batch. + dct = dct.repeat(B, 1, 1) + + # Concatenate the original input features with the positional embeddings + # along the feature dimension. + inputs = torch.cat((inputs, dct), dim=-1) + + # Project the combined tensor to the target hidden size. + return self.embedder(inputs).to(dtype=input_dtype) + + +class NerfGLUBlock(nn.Module): + """ + A NerfBlock using a Gated Linear Unit (GLU) like MLP. + """ + def __init__(self, hidden_size_s: int, hidden_size_x: int, mlp_ratio, dtype=None, device=None, operations=None): + super().__init__() + # The total number of parameters for the MLP is increased to accommodate + # the gate, value, and output projection matrices. + # We now need to generate parameters for 3 matrices. + total_params = 3 * hidden_size_x**2 * mlp_ratio + self.param_generator = operations.Linear(hidden_size_s, total_params, dtype=dtype, device=device) + self.norm = RMSNorm(hidden_size_x, dtype=dtype, device=device, operations=operations) + self.mlp_ratio = mlp_ratio + + + def forward(self, x: torch.Tensor, s: torch.Tensor) -> torch.Tensor: + batch_size, num_x, hidden_size_x = x.shape + mlp_params = self.param_generator(s) + + # Split the generated parameters into three parts for the gate, value, and output projection. + fc1_gate_params, fc1_value_params, fc2_params = mlp_params.chunk(3, dim=-1) + + # Reshape the parameters into matrices for batch matrix multiplication. + fc1_gate = fc1_gate_params.view(batch_size, hidden_size_x, hidden_size_x * self.mlp_ratio) + fc1_value = fc1_value_params.view(batch_size, hidden_size_x, hidden_size_x * self.mlp_ratio) + fc2 = fc2_params.view(batch_size, hidden_size_x * self.mlp_ratio, hidden_size_x) + + # Normalize the generated weight matrices as in the original implementation. + fc1_gate = torch.nn.functional.normalize(fc1_gate, dim=-2) + fc1_value = torch.nn.functional.normalize(fc1_value, dim=-2) + fc2 = torch.nn.functional.normalize(fc2, dim=-2) + + res_x = x + x = self.norm(x) + + # Apply the final output projection. + x = torch.bmm(torch.nn.functional.silu(torch.bmm(x, fc1_gate)) * torch.bmm(x, fc1_value), fc2) + + return x + res_x + + +class NerfFinalLayer(nn.Module): + def __init__(self, hidden_size, out_channels, dtype=None, device=None, operations=None): + super().__init__() + self.norm = RMSNorm(hidden_size, dtype=dtype, device=device, operations=operations) + self.linear = operations.Linear(hidden_size, out_channels, dtype=dtype, device=device) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + # RMSNorm normalizes over the last dimension, but our channel dim (C) is at dim=1. + # So we temporarily move the channel dimension to the end for the norm operation. + return self.linear(self.norm(x.movedim(1, -1))).movedim(-1, 1) + + +class NerfFinalLayerConv(nn.Module): + def __init__(self, hidden_size: int, out_channels: int, dtype=None, device=None, operations=None): + super().__init__() + self.norm = RMSNorm(hidden_size, dtype=dtype, device=device, operations=operations) + self.conv = operations.Conv2d( + in_channels=hidden_size, + out_channels=out_channels, + kernel_size=3, + padding=1, + dtype=dtype, + device=device, + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + # RMSNorm normalizes over the last dimension, but our channel dim (C) is at dim=1. + # So we temporarily move the channel dimension to the end for the norm operation. + return self.conv(self.norm(x.movedim(1, -1)).movedim(-1, 1)) diff --git a/comfy/ldm/chroma_radiance/model.py b/comfy/ldm/chroma_radiance/model.py new file mode 100644 index 0000000000000000000000000000000000000000..47aa11b0454541eaaf0e425a06cf75dd9ba0422c --- /dev/null +++ b/comfy/ldm/chroma_radiance/model.py @@ -0,0 +1,329 @@ +# Credits: +# Original Flux code can be found on: https://github.com/black-forest-labs/flux +# Chroma Radiance adaption referenced from https://github.com/lodestone-rock/flow + +from dataclasses import dataclass +from typing import Optional + +import torch +from torch import Tensor, nn +from einops import repeat +import comfy.ldm.common_dit + +from comfy.ldm.flux.layers import EmbedND + +from comfy.ldm.chroma.model import Chroma, ChromaParams +from comfy.ldm.chroma.layers import ( + DoubleStreamBlock, + SingleStreamBlock, + Approximator, +) +from .layers import ( + NerfEmbedder, + NerfGLUBlock, + NerfFinalLayer, + NerfFinalLayerConv, +) + + +@dataclass +class ChromaRadianceParams(ChromaParams): + patch_size: int + nerf_hidden_size: int + nerf_mlp_ratio: int + nerf_depth: int + nerf_max_freqs: int + # Setting nerf_tile_size to 0 disables tiling. + nerf_tile_size: int + # Currently one of linear (legacy) or conv. + nerf_final_head_type: str + # None means use the same dtype as the model. + nerf_embedder_dtype: Optional[torch.dtype] + + +class ChromaRadiance(Chroma): + """ + Transformer model for flow matching on sequences. + """ + + def __init__(self, image_model=None, final_layer=True, dtype=None, device=None, operations=None, **kwargs): + if operations is None: + raise RuntimeError("Attempt to create ChromaRadiance object without setting operations") + nn.Module.__init__(self) + self.dtype = dtype + params = ChromaRadianceParams(**kwargs) + self.params = params + self.patch_size = params.patch_size + self.in_channels = params.in_channels + self.out_channels = params.out_channels + if params.hidden_size % params.num_heads != 0: + raise ValueError( + f"Hidden size {params.hidden_size} must be divisible by num_heads {params.num_heads}" + ) + pe_dim = params.hidden_size // params.num_heads + if sum(params.axes_dim) != pe_dim: + raise ValueError(f"Got {params.axes_dim} but expected positional dim {pe_dim}") + self.hidden_size = params.hidden_size + self.num_heads = params.num_heads + self.in_dim = params.in_dim + self.out_dim = params.out_dim + self.hidden_dim = params.hidden_dim + self.n_layers = params.n_layers + self.pe_embedder = EmbedND(dim=pe_dim, theta=params.theta, axes_dim=params.axes_dim) + self.img_in_patch = operations.Conv2d( + params.in_channels, + params.hidden_size, + kernel_size=params.patch_size, + stride=params.patch_size, + bias=True, + dtype=dtype, + device=device, + ) + self.txt_in = operations.Linear(params.context_in_dim, self.hidden_size, dtype=dtype, device=device) + # set as nn identity for now, will overwrite it later. + self.distilled_guidance_layer = Approximator( + in_dim=self.in_dim, + hidden_dim=self.hidden_dim, + out_dim=self.out_dim, + n_layers=self.n_layers, + dtype=dtype, device=device, operations=operations + ) + + + self.double_blocks = nn.ModuleList( + [ + DoubleStreamBlock( + self.hidden_size, + self.num_heads, + mlp_ratio=params.mlp_ratio, + qkv_bias=params.qkv_bias, + dtype=dtype, device=device, operations=operations + ) + for _ in range(params.depth) + ] + ) + + self.single_blocks = nn.ModuleList( + [ + SingleStreamBlock( + self.hidden_size, + self.num_heads, + mlp_ratio=params.mlp_ratio, + dtype=dtype, device=device, operations=operations, + ) + for _ in range(params.depth_single_blocks) + ] + ) + + # pixel channel concat with DCT + self.nerf_image_embedder = NerfEmbedder( + in_channels=params.in_channels, + hidden_size_input=params.nerf_hidden_size, + max_freqs=params.nerf_max_freqs, + dtype=params.nerf_embedder_dtype or dtype, + device=device, + operations=operations, + ) + + self.nerf_blocks = nn.ModuleList([ + NerfGLUBlock( + hidden_size_s=params.hidden_size, + hidden_size_x=params.nerf_hidden_size, + mlp_ratio=params.nerf_mlp_ratio, + dtype=dtype, + device=device, + operations=operations, + ) for _ in range(params.nerf_depth) + ]) + + if params.nerf_final_head_type == "linear": + self.nerf_final_layer = NerfFinalLayer( + params.nerf_hidden_size, + out_channels=params.in_channels, + dtype=dtype, + device=device, + operations=operations, + ) + elif params.nerf_final_head_type == "conv": + self.nerf_final_layer_conv = NerfFinalLayerConv( + params.nerf_hidden_size, + out_channels=params.in_channels, + dtype=dtype, + device=device, + operations=operations, + ) + else: + errstr = f"Unsupported nerf_final_head_type {params.nerf_final_head_type}" + raise ValueError(errstr) + + self.skip_mmdit = [] + self.skip_dit = [] + self.lite = False + + @property + def _nerf_final_layer(self) -> nn.Module: + if self.params.nerf_final_head_type == "linear": + return self.nerf_final_layer + if self.params.nerf_final_head_type == "conv": + return self.nerf_final_layer_conv + # Impossible to get here as we raise an error on unexpected types on initialization. + raise NotImplementedError + + def img_in(self, img: Tensor) -> Tensor: + img = self.img_in_patch(img) # -> [B, Hidden, H/P, W/P] + # flatten into a sequence for the transformer. + return img.flatten(2).transpose(1, 2) # -> [B, NumPatches, Hidden] + + def forward_nerf( + self, + img_orig: Tensor, + img_out: Tensor, + params: ChromaRadianceParams, + ) -> Tensor: + B, C, H, W = img_orig.shape + num_patches = img_out.shape[1] + patch_size = params.patch_size + + # Store the raw pixel values of each patch for the NeRF head later. + # unfold creates patches: [B, C * P * P, NumPatches] + nerf_pixels = nn.functional.unfold(img_orig, kernel_size=patch_size, stride=patch_size) + nerf_pixels = nerf_pixels.transpose(1, 2) # -> [B, NumPatches, C * P * P] + + if params.nerf_tile_size > 0 and num_patches > params.nerf_tile_size: + # Enable tiling if nerf_tile_size isn't 0 and we actually have more patches than + # the tile size. + img_dct = self.forward_tiled_nerf(img_out, nerf_pixels, B, C, num_patches, patch_size, params) + else: + # Reshape for per-patch processing + nerf_hidden = img_out.reshape(B * num_patches, params.hidden_size) + nerf_pixels = nerf_pixels.reshape(B * num_patches, C, patch_size**2).transpose(1, 2) + + # Get DCT-encoded pixel embeddings [pixel-dct] + img_dct = self.nerf_image_embedder(nerf_pixels) + + # Pass through the dynamic MLP blocks (the NeRF) + for block in self.nerf_blocks: + img_dct = block(img_dct, nerf_hidden) + + # Reassemble the patches into the final image. + img_dct = img_dct.transpose(1, 2) # -> [B*NumPatches, C, P*P] + # Reshape to combine with batch dimension for fold + img_dct = img_dct.reshape(B, num_patches, -1) # -> [B, NumPatches, C*P*P] + img_dct = img_dct.transpose(1, 2) # -> [B, C*P*P, NumPatches] + img_dct = nn.functional.fold( + img_dct, + output_size=(H, W), + kernel_size=patch_size, + stride=patch_size, + ) + return self._nerf_final_layer(img_dct) + + def forward_tiled_nerf( + self, + nerf_hidden: Tensor, + nerf_pixels: Tensor, + batch: int, + channels: int, + num_patches: int, + patch_size: int, + params: ChromaRadianceParams, + ) -> Tensor: + """ + Processes the NeRF head in tiles to save memory. + nerf_hidden has shape [B, L, D] + nerf_pixels has shape [B, L, C * P * P] + """ + tile_size = params.nerf_tile_size + output_tiles = [] + # Iterate over the patches in tiles. The dimension L (num_patches) is at index 1. + for i in range(0, num_patches, tile_size): + end = min(i + tile_size, num_patches) + + # Slice the current tile from the input tensors + nerf_hidden_tile = nerf_hidden[:, i:end, :] + nerf_pixels_tile = nerf_pixels[:, i:end, :] + + # Get the actual number of patches in this tile (can be smaller for the last tile) + num_patches_tile = nerf_hidden_tile.shape[1] + + # Reshape the tile for per-patch processing + # [B, NumPatches_tile, D] -> [B * NumPatches_tile, D] + nerf_hidden_tile = nerf_hidden_tile.reshape(batch * num_patches_tile, params.hidden_size) + # [B, NumPatches_tile, C*P*P] -> [B*NumPatches_tile, C, P*P] -> [B*NumPatches_tile, P*P, C] + nerf_pixels_tile = nerf_pixels_tile.reshape(batch * num_patches_tile, channels, patch_size**2).transpose(1, 2) + + # get DCT-encoded pixel embeddings [pixel-dct] + img_dct_tile = self.nerf_image_embedder(nerf_pixels_tile) + + # pass through the dynamic MLP blocks (the NeRF) + for block in self.nerf_blocks: + img_dct_tile = block(img_dct_tile, nerf_hidden_tile) + + output_tiles.append(img_dct_tile) + + # Concatenate the processed tiles along the patch dimension + return torch.cat(output_tiles, dim=0) + + def radiance_get_override_params(self, overrides: dict) -> ChromaRadianceParams: + params = self.params + if not overrides: + return params + params_dict = {k: getattr(params, k) for k in params.__dataclass_fields__} + nullable_keys = frozenset(("nerf_embedder_dtype",)) + bad_keys = tuple(k for k in overrides if k not in params_dict) + if bad_keys: + e = f"Unknown key(s) in transformer_options chroma_radiance_options: {', '.join(bad_keys)}" + raise ValueError(e) + bad_keys = tuple( + k + for k, v in overrides.items() + if type(v) != type(getattr(params, k)) and (v is not None or k not in nullable_keys) + ) + if bad_keys: + e = f"Invalid value(s) in transformer_options chroma_radiance_options: {', '.join(bad_keys)}" + raise ValueError(e) + # At this point it's all valid keys and values so we can merge with the existing params. + params_dict |= overrides + return params.__class__(**params_dict) + + def _forward( + self, + x: Tensor, + timestep: Tensor, + context: Tensor, + guidance: Optional[Tensor], + control: Optional[dict]=None, + transformer_options: dict={}, + **kwargs: dict, + ) -> Tensor: + bs, c, h, w = x.shape + img = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size)) + + if img.ndim != 4: + raise ValueError("Input img tensor must be in [B, C, H, W] format.") + if context.ndim != 3: + raise ValueError("Input txt tensors must have 3 dimensions.") + + params = self.radiance_get_override_params(transformer_options.get("chroma_radiance_options", {})) + + h_len = (img.shape[-2] // self.patch_size) + w_len = (img.shape[-1] // self.patch_size) + + img_ids = torch.zeros((h_len, w_len, 3), device=x.device, dtype=x.dtype) + img_ids[:, :, 1] = img_ids[:, :, 1] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype).unsqueeze(1) + img_ids[:, :, 2] = img_ids[:, :, 2] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype).unsqueeze(0) + img_ids = repeat(img_ids, "h w c -> b (h w) c", b=bs) + txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype) + + img_out = self.forward_orig( + img, + img_ids, + context, + txt_ids, + timestep, + guidance, + control, + transformer_options, + attn_mask=kwargs.get("attention_mask", None), + ) + return self.forward_nerf(img, img_out, params)[:, :, :h, :w] diff --git a/comfy/ldm/common_dit.py b/comfy/ldm/common_dit.py new file mode 100644 index 0000000000000000000000000000000000000000..f7f56b72ca6fcd3ba2831b8881a7124d84490bee --- /dev/null +++ b/comfy/ldm/common_dit.py @@ -0,0 +1,16 @@ +import torch +import comfy.rmsnorm + + +def pad_to_patch_size(img, patch_size=(2, 2), padding_mode="circular"): + if padding_mode == "circular" and (torch.jit.is_tracing() or torch.jit.is_scripting()): + padding_mode = "reflect" + + pad = () + for i in range(img.ndim - 2): + pad = (0, (patch_size[i] - img.shape[i + 2] % patch_size[i]) % patch_size[i]) + pad + + return torch.nn.functional.pad(img, pad, mode=padding_mode) + + +rms_norm = comfy.rmsnorm.rms_norm diff --git a/comfy/ldm/cosmos/blocks.py b/comfy/ldm/cosmos/blocks.py new file mode 100644 index 0000000000000000000000000000000000000000..afb43d469daed3fcd224fca8f163fa830d9441d3 --- /dev/null +++ b/comfy/ldm/cosmos/blocks.py @@ -0,0 +1,805 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import math +from typing import Optional +import logging + +import numpy as np +import torch +from einops import rearrange, repeat +from einops.layers.torch import Rearrange +from torch import nn + +from comfy.ldm.modules.attention import optimized_attention + + +def get_normalization(name: str, channels: int, weight_args={}, operations=None): + if name == "I": + return nn.Identity() + elif name == "R": + return operations.RMSNorm(channels, elementwise_affine=True, eps=1e-6, **weight_args) + else: + raise ValueError(f"Normalization {name} not found") + + +class BaseAttentionOp(nn.Module): + def __init__(self): + super().__init__() + + +class Attention(nn.Module): + """ + Generalized attention impl. + + Allowing for both self-attention and cross-attention configurations depending on whether a `context_dim` is provided. + If `context_dim` is None, self-attention is assumed. + + Parameters: + query_dim (int): Dimension of each query vector. + context_dim (int, optional): Dimension of each context vector. If None, self-attention is assumed. + heads (int, optional): Number of attention heads. Defaults to 8. + dim_head (int, optional): Dimension of each head. Defaults to 64. + dropout (float, optional): Dropout rate applied to the output of the attention block. Defaults to 0.0. + attn_op (BaseAttentionOp, optional): Custom attention operation to be used instead of the default. + qkv_bias (bool, optional): If True, adds a learnable bias to query, key, and value projections. Defaults to False. + out_bias (bool, optional): If True, adds a learnable bias to the output projection. Defaults to False. + qkv_norm (str, optional): A string representing normalization strategies for query, key, and value projections. + Defaults to "SSI". + qkv_norm_mode (str, optional): A string representing normalization mode for query, key, and value projections. + Defaults to 'per_head'. Only support 'per_head'. + + Examples: + >>> attn = Attention(query_dim=128, context_dim=256, heads=4, dim_head=32, dropout=0.1) + >>> query = torch.randn(10, 128) # Batch size of 10 + >>> context = torch.randn(10, 256) # Batch size of 10 + >>> output = attn(query, context) # Perform the attention operation + + Note: + https://github.com/MatthieuTPHR/diffusers/blob/d80b531ff8060ec1ea982b65a1b8df70f73aa67c/src/diffusers/models/attention.py#L223 + """ + + def __init__( + self, + query_dim: int, + context_dim=None, + heads=8, + dim_head=64, + dropout=0.0, + attn_op: Optional[BaseAttentionOp] = None, + qkv_bias: bool = False, + out_bias: bool = False, + qkv_norm: str = "SSI", + qkv_norm_mode: str = "per_head", + backend: str = "transformer_engine", + qkv_format: str = "bshd", + weight_args={}, + operations=None, + ) -> None: + super().__init__() + + self.is_selfattn = context_dim is None # self attention + + inner_dim = dim_head * heads + context_dim = query_dim if context_dim is None else context_dim + + self.heads = heads + self.dim_head = dim_head + self.qkv_norm_mode = qkv_norm_mode + self.qkv_format = qkv_format + + if self.qkv_norm_mode == "per_head": + norm_dim = dim_head + else: + raise ValueError(f"Normalization mode {self.qkv_norm_mode} not found, only support 'per_head'") + + self.backend = backend + + self.to_q = nn.Sequential( + operations.Linear(query_dim, inner_dim, bias=qkv_bias, **weight_args), + get_normalization(qkv_norm[0], norm_dim, weight_args=weight_args, operations=operations), + ) + self.to_k = nn.Sequential( + operations.Linear(context_dim, inner_dim, bias=qkv_bias, **weight_args), + get_normalization(qkv_norm[1], norm_dim, weight_args=weight_args, operations=operations), + ) + self.to_v = nn.Sequential( + operations.Linear(context_dim, inner_dim, bias=qkv_bias, **weight_args), + get_normalization(qkv_norm[2], norm_dim, weight_args=weight_args, operations=operations), + ) + + self.to_out = nn.Sequential( + operations.Linear(inner_dim, query_dim, bias=out_bias, **weight_args), + nn.Dropout(dropout), + ) + + def cal_qkv( + self, x, context=None, mask=None, rope_emb=None, **kwargs + ) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + del kwargs + + + """ + self.to_q, self.to_k, self.to_v are nn.Sequential with projection + normalization layers. + Before 07/24/2024, these modules normalize across all heads. + After 07/24/2024, to support tensor parallelism and follow the common practice in the community, + we support to normalize per head. + To keep the checkpoint copatibility with the previous code, + we keep the nn.Sequential but call the projection and the normalization layers separately. + We use a flag `self.qkv_norm_mode` to control the normalization behavior. + The default value of `self.qkv_norm_mode` is "per_head", which means we normalize per head. + """ + if self.qkv_norm_mode == "per_head": + q = self.to_q[0](x) + context = x if context is None else context + k = self.to_k[0](context) + v = self.to_v[0](context) + q, k, v = map( + lambda t: rearrange(t, "s b (n c) -> b n s c", n=self.heads, c=self.dim_head), + (q, k, v), + ) + else: + raise ValueError(f"Normalization mode {self.qkv_norm_mode} not found, only support 'per_head'") + + q = self.to_q[1](q) + k = self.to_k[1](k) + v = self.to_v[1](v) + if self.is_selfattn and rope_emb is not None: # only apply to self-attention! + # apply_rotary_pos_emb inlined + q_shape = q.shape + q = q.reshape(*q.shape[:-1], 2, -1).movedim(-2, -1).unsqueeze(-2) + q = rope_emb[..., 0] * q[..., 0] + rope_emb[..., 1] * q[..., 1] + q = q.movedim(-1, -2).reshape(*q_shape).to(x.dtype) + + # apply_rotary_pos_emb inlined + k_shape = k.shape + k = k.reshape(*k.shape[:-1], 2, -1).movedim(-2, -1).unsqueeze(-2) + k = rope_emb[..., 0] * k[..., 0] + rope_emb[..., 1] * k[..., 1] + k = k.movedim(-1, -2).reshape(*k_shape).to(x.dtype) + return q, k, v + + def forward( + self, + x, + context=None, + mask=None, + rope_emb=None, + transformer_options={}, + **kwargs, + ): + """ + Args: + x (Tensor): The query tensor of shape [B, Mq, K] + context (Optional[Tensor]): The key tensor of shape [B, Mk, K] or use x as context [self attention] if None + """ + q, k, v = self.cal_qkv(x, context, mask, rope_emb=rope_emb, **kwargs) + out = optimized_attention(q, k, v, self.heads, skip_reshape=True, mask=mask, skip_output_reshape=True, transformer_options=transformer_options) + del q, k, v + out = rearrange(out, " b n s c -> s b (n c)") + return self.to_out(out) + + +class FeedForward(nn.Module): + """ + Transformer FFN with optional gating + + Parameters: + d_model (int): Dimensionality of input features. + d_ff (int): Dimensionality of the hidden layer. + dropout (float, optional): Dropout rate applied after the activation function. Defaults to 0.1. + activation (callable, optional): The activation function applied after the first linear layer. + Defaults to nn.ReLU(). + is_gated (bool, optional): If set to True, incorporates gating mechanism to the feed-forward layer. + Defaults to False. + bias (bool, optional): If set to True, adds a bias to the linear layers. Defaults to True. + + Example: + >>> ff = FeedForward(d_model=512, d_ff=2048) + >>> x = torch.randn(64, 10, 512) # Example input tensor + >>> output = ff(x) + >>> print(output.shape) # Expected shape: (64, 10, 512) + """ + + def __init__( + self, + d_model: int, + d_ff: int, + dropout: float = 0.1, + activation=nn.ReLU(), + is_gated: bool = False, + bias: bool = False, + weight_args={}, + operations=None, + ) -> None: + super().__init__() + + self.layer1 = operations.Linear(d_model, d_ff, bias=bias, **weight_args) + self.layer2 = operations.Linear(d_ff, d_model, bias=bias, **weight_args) + + self.dropout = nn.Dropout(dropout) + self.activation = activation + self.is_gated = is_gated + if is_gated: + self.linear_gate = operations.Linear(d_model, d_ff, bias=False, **weight_args) + + def forward(self, x: torch.Tensor): + g = self.activation(self.layer1(x)) + if self.is_gated: + x = g * self.linear_gate(x) + else: + x = g + assert self.dropout.p == 0.0, "we skip dropout" + return self.layer2(x) + + +class GPT2FeedForward(FeedForward): + def __init__(self, d_model: int, d_ff: int, dropout: float = 0.1, bias: bool = False, weight_args={}, operations=None): + super().__init__( + d_model=d_model, + d_ff=d_ff, + dropout=dropout, + activation=nn.GELU(), + is_gated=False, + bias=bias, + weight_args=weight_args, + operations=operations, + ) + + def forward(self, x: torch.Tensor): + assert self.dropout.p == 0.0, "we skip dropout" + + x = self.layer1(x) + x = self.activation(x) + x = self.layer2(x) + + return x + + +def modulate(x, shift, scale): + return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1) + + +class Timesteps(nn.Module): + def __init__(self, num_channels): + super().__init__() + self.num_channels = num_channels + + def forward(self, timesteps): + half_dim = self.num_channels // 2 + exponent = -math.log(10000) * torch.arange(half_dim, dtype=torch.float32, device=timesteps.device) + exponent = exponent / (half_dim - 0.0) + + emb = torch.exp(exponent) + emb = timesteps[:, None].float() * emb[None, :] + + sin_emb = torch.sin(emb) + cos_emb = torch.cos(emb) + emb = torch.cat([cos_emb, sin_emb], dim=-1) + + return emb + + +class TimestepEmbedding(nn.Module): + def __init__(self, in_features: int, out_features: int, use_adaln_lora: bool = False, weight_args={}, operations=None): + super().__init__() + logging.debug( + f"Using AdaLN LoRA Flag: {use_adaln_lora}. We enable bias if no AdaLN LoRA for backward compatibility." + ) + self.linear_1 = operations.Linear(in_features, out_features, bias=not use_adaln_lora, **weight_args) + self.activation = nn.SiLU() + self.use_adaln_lora = use_adaln_lora + if use_adaln_lora: + self.linear_2 = operations.Linear(out_features, 3 * out_features, bias=False, **weight_args) + else: + self.linear_2 = operations.Linear(out_features, out_features, bias=True, **weight_args) + + def forward(self, sample: torch.Tensor) -> torch.Tensor: + emb = self.linear_1(sample) + emb = self.activation(emb) + emb = self.linear_2(emb) + + if self.use_adaln_lora: + adaln_lora_B_3D = emb + emb_B_D = sample + else: + emb_B_D = emb + adaln_lora_B_3D = None + + return emb_B_D, adaln_lora_B_3D + + +class FourierFeatures(nn.Module): + """ + Implements a layer that generates Fourier features from input tensors, based on randomly sampled + frequencies and phases. This can help in learning high-frequency functions in low-dimensional problems. + + [B] -> [B, D] + + Parameters: + num_channels (int): The number of Fourier features to generate. + bandwidth (float, optional): The scaling factor for the frequency of the Fourier features. Defaults to 1. + normalize (bool, optional): If set to True, the outputs are scaled by sqrt(2), usually to normalize + the variance of the features. Defaults to False. + + Example: + >>> layer = FourierFeatures(num_channels=256, bandwidth=0.5, normalize=True) + >>> x = torch.randn(10, 256) # Example input tensor + >>> output = layer(x) + >>> print(output.shape) # Expected shape: (10, 256) + """ + + def __init__(self, num_channels, bandwidth=1, normalize=False): + super().__init__() + self.register_buffer("freqs", 2 * np.pi * bandwidth * torch.randn(num_channels), persistent=True) + self.register_buffer("phases", 2 * np.pi * torch.rand(num_channels), persistent=True) + self.gain = np.sqrt(2) if normalize else 1 + + def forward(self, x, gain: float = 1.0): + """ + Apply the Fourier feature transformation to the input tensor. + + Args: + x (torch.Tensor): The input tensor. + gain (float, optional): An additional gain factor applied during the forward pass. Defaults to 1. + + Returns: + torch.Tensor: The transformed tensor, with Fourier features applied. + """ + in_dtype = x.dtype + x = x.to(torch.float32).ger(self.freqs.to(torch.float32)).add(self.phases.to(torch.float32)) + x = x.cos().mul(self.gain * gain).to(in_dtype) + return x + + +class PatchEmbed(nn.Module): + """ + PatchEmbed is a module for embedding patches from an input tensor by applying either 3D or 2D convolutional layers, + depending on the . This module can process inputs with temporal (video) and spatial (image) dimensions, + making it suitable for video and image processing tasks. It supports dividing the input into patches + and embedding each patch into a vector of size `out_channels`. + + Parameters: + - spatial_patch_size (int): The size of each spatial patch. + - temporal_patch_size (int): The size of each temporal patch. + - in_channels (int): Number of input channels. Default: 3. + - out_channels (int): The dimension of the embedding vector for each patch. Default: 768. + - bias (bool): If True, adds a learnable bias to the output of the convolutional layers. Default: True. + """ + + def __init__( + self, + spatial_patch_size, + temporal_patch_size, + in_channels=3, + out_channels=768, + bias=True, + weight_args={}, + operations=None, + ): + super().__init__() + self.spatial_patch_size = spatial_patch_size + self.temporal_patch_size = temporal_patch_size + + self.proj = nn.Sequential( + Rearrange( + "b c (t r) (h m) (w n) -> b t h w (c r m n)", + r=temporal_patch_size, + m=spatial_patch_size, + n=spatial_patch_size, + ), + operations.Linear( + in_channels * spatial_patch_size * spatial_patch_size * temporal_patch_size, out_channels, bias=bias, **weight_args + ), + ) + self.out = nn.Identity() + + def forward(self, x): + """ + Forward pass of the PatchEmbed module. + + Parameters: + - x (torch.Tensor): The input tensor of shape (B, C, T, H, W) where + B is the batch size, + C is the number of channels, + T is the temporal dimension, + H is the height, and + W is the width of the input. + + Returns: + - torch.Tensor: The embedded patches as a tensor, with shape b t h w c. + """ + assert x.dim() == 5 + _, _, T, H, W = x.shape + assert H % self.spatial_patch_size == 0 and W % self.spatial_patch_size == 0 + assert T % self.temporal_patch_size == 0 + x = self.proj(x) + return self.out(x) + + +class FinalLayer(nn.Module): + """ + The final layer of video DiT. + """ + + def __init__( + self, + hidden_size, + spatial_patch_size, + temporal_patch_size, + out_channels, + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + weight_args={}, + operations=None, + ): + super().__init__() + self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, **weight_args) + self.linear = operations.Linear( + hidden_size, spatial_patch_size * spatial_patch_size * temporal_patch_size * out_channels, bias=False, **weight_args + ) + self.hidden_size = hidden_size + self.n_adaln_chunks = 2 + self.use_adaln_lora = use_adaln_lora + if use_adaln_lora: + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(hidden_size, adaln_lora_dim, bias=False, **weight_args), + operations.Linear(adaln_lora_dim, self.n_adaln_chunks * hidden_size, bias=False, **weight_args), + ) + else: + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), operations.Linear(hidden_size, self.n_adaln_chunks * hidden_size, bias=False, **weight_args) + ) + + def forward( + self, + x_BT_HW_D, + emb_B_D, + adaln_lora_B_3D: Optional[torch.Tensor] = None, + ): + if self.use_adaln_lora: + assert adaln_lora_B_3D is not None + shift_B_D, scale_B_D = (self.adaLN_modulation(emb_B_D) + adaln_lora_B_3D[:, : 2 * self.hidden_size]).chunk( + 2, dim=1 + ) + else: + shift_B_D, scale_B_D = self.adaLN_modulation(emb_B_D).chunk(2, dim=1) + + B = emb_B_D.shape[0] + T = x_BT_HW_D.shape[0] // B + shift_BT_D, scale_BT_D = repeat(shift_B_D, "b d -> (b t) d", t=T), repeat(scale_B_D, "b d -> (b t) d", t=T) + x_BT_HW_D = modulate(self.norm_final(x_BT_HW_D), shift_BT_D, scale_BT_D) + + x_BT_HW_D = self.linear(x_BT_HW_D) + return x_BT_HW_D + + +class VideoAttn(nn.Module): + """ + Implements video attention with optional cross-attention capabilities. + + This module processes video features while maintaining their spatio-temporal structure. It can perform + self-attention within the video features or cross-attention with external context features. + + Parameters: + x_dim (int): Dimension of input feature vectors + context_dim (Optional[int]): Dimension of context features for cross-attention. None for self-attention + num_heads (int): Number of attention heads + bias (bool): Whether to include bias in attention projections. Default: False + qkv_norm_mode (str): Normalization mode for query/key/value projections. Must be "per_head". Default: "per_head" + x_format (str): Format of input tensor. Must be "BTHWD". Default: "BTHWD" + + Input shape: + - x: (T, H, W, B, D) video features + - context (optional): (M, B, D) context features for cross-attention + where: + T: temporal dimension + H: height + W: width + B: batch size + D: feature dimension + M: context sequence length + """ + + def __init__( + self, + x_dim: int, + context_dim: Optional[int], + num_heads: int, + bias: bool = False, + qkv_norm_mode: str = "per_head", + x_format: str = "BTHWD", + weight_args={}, + operations=None, + ) -> None: + super().__init__() + self.x_format = x_format + + self.attn = Attention( + x_dim, + context_dim, + num_heads, + x_dim // num_heads, + qkv_bias=bias, + qkv_norm="RRI", + out_bias=bias, + qkv_norm_mode=qkv_norm_mode, + qkv_format="sbhd", + weight_args=weight_args, + operations=operations, + ) + + def forward( + self, + x: torch.Tensor, + context: Optional[torch.Tensor] = None, + crossattn_mask: Optional[torch.Tensor] = None, + rope_emb_L_1_1_D: Optional[torch.Tensor] = None, + transformer_options: Optional[dict] = {}, + ) -> torch.Tensor: + """ + Forward pass for video attention. + + Args: + x (Tensor): Input tensor of shape (B, T, H, W, D) or (T, H, W, B, D) representing batches of video data. + context (Tensor): Context tensor of shape (B, M, D) or (M, B, D), + where M is the sequence length of the context. + crossattn_mask (Optional[Tensor]): An optional mask for cross-attention mechanisms. + rope_emb_L_1_1_D (Optional[Tensor]): + Rotary positional embedding tensor of shape (L, 1, 1, D). L == THW for current video training. + + Returns: + Tensor: The output tensor with applied attention, maintaining the input shape. + """ + + x_T_H_W_B_D = x + context_M_B_D = context + T, H, W, B, D = x_T_H_W_B_D.shape + x_THW_B_D = rearrange(x_T_H_W_B_D, "t h w b d -> (t h w) b d") + x_THW_B_D = self.attn( + x_THW_B_D, + context_M_B_D, + crossattn_mask, + rope_emb=rope_emb_L_1_1_D, + transformer_options=transformer_options, + ) + x_T_H_W_B_D = rearrange(x_THW_B_D, "(t h w) b d -> t h w b d", h=H, w=W) + return x_T_H_W_B_D + + +def adaln_norm_state(norm_state, x, scale, shift): + normalized = norm_state(x) + return normalized * (1 + scale) + shift + + +class DITBuildingBlock(nn.Module): + """ + A building block for the DiT (Diffusion Transformer) architecture that supports different types of + attention and MLP operations with adaptive layer normalization. + + Parameters: + block_type (str): Type of block - one of: + - "cross_attn"/"ca": Cross-attention + - "full_attn"/"fa": Full self-attention + - "mlp"/"ff": MLP/feedforward block + x_dim (int): Dimension of input features + context_dim (Optional[int]): Dimension of context features for cross-attention + num_heads (int): Number of attention heads + mlp_ratio (float): MLP hidden dimension multiplier. Default: 4.0 + bias (bool): Whether to use bias in layers. Default: False + mlp_dropout (float): Dropout rate for MLP. Default: 0.0 + qkv_norm_mode (str): QKV normalization mode. Default: "per_head" + x_format (str): Input tensor format. Default: "BTHWD" + use_adaln_lora (bool): Whether to use AdaLN-LoRA. Default: False + adaln_lora_dim (int): Dimension for AdaLN-LoRA. Default: 256 + """ + + def __init__( + self, + block_type: str, + x_dim: int, + context_dim: Optional[int], + num_heads: int, + mlp_ratio: float = 4.0, + bias: bool = False, + mlp_dropout: float = 0.0, + qkv_norm_mode: str = "per_head", + x_format: str = "BTHWD", + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + weight_args={}, + operations=None + ) -> None: + block_type = block_type.lower() + + super().__init__() + self.x_format = x_format + if block_type in ["cross_attn", "ca"]: + self.block = VideoAttn( + x_dim, + context_dim, + num_heads, + bias=bias, + qkv_norm_mode=qkv_norm_mode, + x_format=self.x_format, + weight_args=weight_args, + operations=operations, + ) + elif block_type in ["full_attn", "fa"]: + self.block = VideoAttn( + x_dim, None, num_heads, bias=bias, qkv_norm_mode=qkv_norm_mode, x_format=self.x_format, weight_args=weight_args, operations=operations + ) + elif block_type in ["mlp", "ff"]: + self.block = GPT2FeedForward(x_dim, int(x_dim * mlp_ratio), dropout=mlp_dropout, bias=bias, weight_args=weight_args, operations=operations) + else: + raise ValueError(f"Unknown block type: {block_type}") + + self.block_type = block_type + self.use_adaln_lora = use_adaln_lora + + self.norm_state = nn.LayerNorm(x_dim, elementwise_affine=False, eps=1e-6) + self.n_adaln_chunks = 3 + if use_adaln_lora: + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(x_dim, adaln_lora_dim, bias=False, **weight_args), + operations.Linear(adaln_lora_dim, self.n_adaln_chunks * x_dim, bias=False, **weight_args), + ) + else: + self.adaLN_modulation = nn.Sequential(nn.SiLU(), operations.Linear(x_dim, self.n_adaln_chunks * x_dim, bias=False, **weight_args)) + + def forward( + self, + x: torch.Tensor, + emb_B_D: torch.Tensor, + crossattn_emb: torch.Tensor, + crossattn_mask: Optional[torch.Tensor] = None, + rope_emb_L_1_1_D: Optional[torch.Tensor] = None, + adaln_lora_B_3D: Optional[torch.Tensor] = None, + transformer_options: Optional[dict] = {}, + ) -> torch.Tensor: + """ + Forward pass for dynamically configured blocks with adaptive normalization. + + Args: + x (Tensor): Input tensor of shape (B, T, H, W, D) or (T, H, W, B, D). + emb_B_D (Tensor): Embedding tensor for adaptive layer normalization modulation. + crossattn_emb (Tensor): Tensor for cross-attention blocks. + crossattn_mask (Optional[Tensor]): Optional mask for cross-attention. + rope_emb_L_1_1_D (Optional[Tensor]): + Rotary positional embedding tensor of shape (L, 1, 1, D). L == THW for current video training. + + Returns: + Tensor: The output tensor after processing through the configured block and adaptive normalization. + """ + if self.use_adaln_lora: + shift_B_D, scale_B_D, gate_B_D = (self.adaLN_modulation(emb_B_D) + adaln_lora_B_3D).chunk( + self.n_adaln_chunks, dim=1 + ) + else: + shift_B_D, scale_B_D, gate_B_D = self.adaLN_modulation(emb_B_D).chunk(self.n_adaln_chunks, dim=1) + + shift_1_1_1_B_D, scale_1_1_1_B_D, gate_1_1_1_B_D = ( + shift_B_D.unsqueeze(0).unsqueeze(0).unsqueeze(0), + scale_B_D.unsqueeze(0).unsqueeze(0).unsqueeze(0), + gate_B_D.unsqueeze(0).unsqueeze(0).unsqueeze(0), + ) + + if self.block_type in ["mlp", "ff"]: + x = x + gate_1_1_1_B_D * self.block( + adaln_norm_state(self.norm_state, x, scale_1_1_1_B_D, shift_1_1_1_B_D), + ) + elif self.block_type in ["full_attn", "fa"]: + x = x + gate_1_1_1_B_D * self.block( + adaln_norm_state(self.norm_state, x, scale_1_1_1_B_D, shift_1_1_1_B_D), + context=None, + rope_emb_L_1_1_D=rope_emb_L_1_1_D, + transformer_options=transformer_options, + ) + elif self.block_type in ["cross_attn", "ca"]: + x = x + gate_1_1_1_B_D * self.block( + adaln_norm_state(self.norm_state, x, scale_1_1_1_B_D, shift_1_1_1_B_D), + context=crossattn_emb, + crossattn_mask=crossattn_mask, + rope_emb_L_1_1_D=rope_emb_L_1_1_D, + transformer_options=transformer_options, + ) + else: + raise ValueError(f"Unknown block type: {self.block_type}") + + return x + + +class GeneralDITTransformerBlock(nn.Module): + """ + A wrapper module that manages a sequence of DITBuildingBlocks to form a complete transformer layer. + Each block in the sequence is specified by a block configuration string. + + Parameters: + x_dim (int): Dimension of input features + context_dim (int): Dimension of context features for cross-attention blocks + num_heads (int): Number of attention heads + block_config (str): String specifying block sequence (e.g. "ca-fa-mlp" for cross-attention, + full-attention, then MLP) + mlp_ratio (float): MLP hidden dimension multiplier. Default: 4.0 + x_format (str): Input tensor format. Default: "BTHWD" + use_adaln_lora (bool): Whether to use AdaLN-LoRA. Default: False + adaln_lora_dim (int): Dimension for AdaLN-LoRA. Default: 256 + + The block_config string uses "-" to separate block types: + - "ca"/"cross_attn": Cross-attention block + - "fa"/"full_attn": Full self-attention block + - "mlp"/"ff": MLP/feedforward block + + Example: + block_config = "ca-fa-mlp" creates a sequence of: + 1. Cross-attention block + 2. Full self-attention block + 3. MLP block + """ + + def __init__( + self, + x_dim: int, + context_dim: int, + num_heads: int, + block_config: str, + mlp_ratio: float = 4.0, + x_format: str = "BTHWD", + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + weight_args={}, + operations=None + ): + super().__init__() + self.blocks = nn.ModuleList() + self.x_format = x_format + for block_type in block_config.split("-"): + self.blocks.append( + DITBuildingBlock( + block_type, + x_dim, + context_dim, + num_heads, + mlp_ratio, + x_format=self.x_format, + use_adaln_lora=use_adaln_lora, + adaln_lora_dim=adaln_lora_dim, + weight_args=weight_args, + operations=operations, + ) + ) + + def forward( + self, + x: torch.Tensor, + emb_B_D: torch.Tensor, + crossattn_emb: torch.Tensor, + crossattn_mask: Optional[torch.Tensor] = None, + rope_emb_L_1_1_D: Optional[torch.Tensor] = None, + adaln_lora_B_3D: Optional[torch.Tensor] = None, + transformer_options: Optional[dict] = {}, + ) -> torch.Tensor: + for block in self.blocks: + x = block( + x, + emb_B_D, + crossattn_emb, + crossattn_mask, + rope_emb_L_1_1_D=rope_emb_L_1_1_D, + adaln_lora_B_3D=adaln_lora_B_3D, + transformer_options=transformer_options, + ) + return x diff --git a/comfy/ldm/cosmos/cosmos_tokenizer/layers3d.py b/comfy/ldm/cosmos/cosmos_tokenizer/layers3d.py new file mode 100644 index 0000000000000000000000000000000000000000..9a3ebed6aa5362c79aff91c088cce8ba7b6f3141 --- /dev/null +++ b/comfy/ldm/cosmos/cosmos_tokenizer/layers3d.py @@ -0,0 +1,1041 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""The model definition for 3D layers + +Adapted from: https://github.com/lucidrains/magvit2-pytorch/blob/ +9f49074179c912736e617d61b32be367eb5f993a/magvit2_pytorch/magvit2_pytorch.py#L889 + +[MIT License Copyright (c) 2023 Phil Wang] +https://github.com/lucidrains/magvit2-pytorch/blob/ +9f49074179c912736e617d61b32be367eb5f993a/LICENSE +""" +import math +from typing import Tuple, Union + +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F +import logging + +from comfy.ldm.modules.diffusionmodules.model import vae_attention + +from .patching import ( + Patcher, + Patcher3D, + UnPatcher, + UnPatcher3D, +) +from .utils import ( + CausalNormalize, + batch2space, + batch2time, + cast_tuple, + is_odd, + nonlinearity, + replication_pad, + space2batch, + time2batch, +) + +import comfy.ops +ops = comfy.ops.disable_weight_init + +_LEGACY_NUM_GROUPS = 32 + + +class CausalConv3d(nn.Module): + def __init__( + self, + chan_in: int = 1, + chan_out: int = 1, + kernel_size: Union[int, Tuple[int, int, int]] = 3, + pad_mode: str = "constant", + **kwargs, + ): + super().__init__() + kernel_size = cast_tuple(kernel_size, 3) + + time_kernel_size, height_kernel_size, width_kernel_size = kernel_size + + assert is_odd(height_kernel_size) and is_odd(width_kernel_size) + + dilation = kwargs.pop("dilation", 1) + stride = kwargs.pop("stride", 1) + time_stride = kwargs.pop("time_stride", 1) + time_dilation = kwargs.pop("time_dilation", 1) + padding = kwargs.pop("padding", 1) + + self.pad_mode = pad_mode + time_pad = time_dilation * (time_kernel_size - 1) + (1 - time_stride) + self.time_pad = time_pad + + self.spatial_pad = (padding, padding, padding, padding) + + stride = (time_stride, stride, stride) + dilation = (time_dilation, dilation, dilation) + self.conv3d = ops.Conv3d( + chan_in, + chan_out, + kernel_size, + stride=stride, + dilation=dilation, + **kwargs, + ) + + def _replication_pad(self, x: torch.Tensor) -> torch.Tensor: + x_prev = x[:, :, :1, ...].repeat(1, 1, self.time_pad, 1, 1) + x = torch.cat([x_prev, x], dim=2) + padding = self.spatial_pad + (0, 0) + return F.pad(x, padding, mode=self.pad_mode, value=0.0) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self._replication_pad(x) + return self.conv3d(x) + + +class CausalUpsample3d(nn.Module): + def __init__(self, in_channels: int) -> None: + super().__init__() + self.conv = CausalConv3d( + in_channels, in_channels, kernel_size=3, stride=1, padding=1 + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = x.repeat_interleave(2, dim=3).repeat_interleave(2, dim=4) + time_factor = 1.0 + 1.0 * (x.shape[2] > 1) + if isinstance(time_factor, torch.Tensor): + time_factor = time_factor.item() + x = x.repeat_interleave(int(time_factor), dim=2) + # TODO(freda): Check if this causes temporal inconsistency. + # Shoule reverse the order of the following two ops, + # better perf and better temporal smoothness. + x = self.conv(x) + return x[..., int(time_factor - 1) :, :, :] + + +class CausalDownsample3d(nn.Module): + def __init__(self, in_channels: int) -> None: + super().__init__() + self.conv = CausalConv3d( + in_channels, + in_channels, + kernel_size=3, + stride=2, + time_stride=2, + padding=0, + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + pad = (0, 1, 0, 1, 0, 0) + x = F.pad(x, pad, mode="constant", value=0) + x = replication_pad(x) + x = self.conv(x) + return x + + +class CausalHybridUpsample3d(nn.Module): + def __init__( + self, + in_channels: int, + spatial_up: bool = True, + temporal_up: bool = True, + **kwargs, + ) -> None: + super().__init__() + self.spatial_up = spatial_up + self.temporal_up = temporal_up + if not self.spatial_up and not self.temporal_up: + return + + self.conv1 = CausalConv3d( + in_channels, + in_channels, + kernel_size=(3, 1, 1), + stride=1, + time_stride=1, + padding=0, + ) + self.conv2 = CausalConv3d( + in_channels, + in_channels, + kernel_size=(1, 3, 3), + stride=1, + time_stride=1, + padding=1, + ) + self.conv3 = CausalConv3d( + in_channels, + in_channels, + kernel_size=1, + stride=1, + time_stride=1, + padding=0, + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + if not self.spatial_up and not self.temporal_up: + return x + + # hybrid upsample temporally. + if self.temporal_up: + time_factor = 1.0 + 1.0 * (x.shape[2] > 1) + if isinstance(time_factor, torch.Tensor): + time_factor = time_factor.item() + x = x.repeat_interleave(int(time_factor), dim=2) + x = x[..., int(time_factor - 1) :, :, :] + x = self.conv1(x) + x + + # hybrid upsample spatially. + if self.spatial_up: + x = x.repeat_interleave(2, dim=3).repeat_interleave(2, dim=4) + x = self.conv2(x) + x + + # final 1x1x1 conv. + x = self.conv3(x) + return x + + +class CausalHybridDownsample3d(nn.Module): + def __init__( + self, + in_channels: int, + spatial_down: bool = True, + temporal_down: bool = True, + **kwargs, + ) -> None: + super().__init__() + self.spatial_down = spatial_down + self.temporal_down = temporal_down + if not self.spatial_down and not self.temporal_down: + return + + self.conv1 = CausalConv3d( + in_channels, + in_channels, + kernel_size=(1, 3, 3), + stride=2, + time_stride=1, + padding=0, + ) + self.conv2 = CausalConv3d( + in_channels, + in_channels, + kernel_size=(3, 1, 1), + stride=1, + time_stride=2, + padding=0, + ) + self.conv3 = CausalConv3d( + in_channels, + in_channels, + kernel_size=1, + stride=1, + time_stride=1, + padding=0, + ) + + + def forward(self, x: torch.Tensor) -> torch.Tensor: + if not self.spatial_down and not self.temporal_down: + return x + + # hybrid downsample spatially. + if self.spatial_down: + pad = (0, 1, 0, 1, 0, 0) + x = F.pad(x, pad, mode="constant", value=0) + x1 = self.conv1(x) + x2 = F.avg_pool3d(x, kernel_size=(1, 2, 2), stride=(1, 2, 2)) + x = x1 + x2 + + # hybrid downsample temporally. + if self.temporal_down: + x = replication_pad(x) + x1 = self.conv2(x) + x2 = F.avg_pool3d(x, kernel_size=(2, 1, 1), stride=(2, 1, 1)) + x = x1 + x2 + + # final 1x1x1 conv. + x = self.conv3(x) + return x + + +class CausalResnetBlock3d(nn.Module): + def __init__( + self, + *, + in_channels: int, + out_channels: int = None, + dropout: float, + num_groups: int, + ) -> None: + super().__init__() + self.in_channels = in_channels + out_channels = in_channels if out_channels is None else out_channels + + self.norm1 = CausalNormalize(in_channels, num_groups=num_groups) + self.conv1 = CausalConv3d( + in_channels, out_channels, kernel_size=3, stride=1, padding=1 + ) + self.norm2 = CausalNormalize(out_channels, num_groups=num_groups) + self.dropout = torch.nn.Dropout(dropout) + self.conv2 = CausalConv3d( + out_channels, out_channels, kernel_size=3, stride=1, padding=1 + ) + self.nin_shortcut = ( + CausalConv3d(in_channels, out_channels, kernel_size=1, stride=1, padding=0) + if in_channels != out_channels + else nn.Identity() + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + h = x + h = self.norm1(h) + h = nonlinearity(h) + h = self.conv1(h) + + h = self.norm2(h) + h = nonlinearity(h) + h = self.dropout(h) + h = self.conv2(h) + x = self.nin_shortcut(x) + + return x + h + + +class CausalResnetBlockFactorized3d(nn.Module): + def __init__( + self, + *, + in_channels: int, + out_channels: int = None, + dropout: float, + num_groups: int, + ) -> None: + super().__init__() + self.in_channels = in_channels + out_channels = in_channels if out_channels is None else out_channels + + self.norm1 = CausalNormalize(in_channels, num_groups=1) + self.conv1 = nn.Sequential( + CausalConv3d( + in_channels, + out_channels, + kernel_size=(1, 3, 3), + stride=1, + padding=1, + ), + CausalConv3d( + out_channels, + out_channels, + kernel_size=(3, 1, 1), + stride=1, + padding=0, + ), + ) + self.norm2 = CausalNormalize(out_channels, num_groups=num_groups) + self.dropout = torch.nn.Dropout(dropout) + self.conv2 = nn.Sequential( + CausalConv3d( + out_channels, + out_channels, + kernel_size=(1, 3, 3), + stride=1, + padding=1, + ), + CausalConv3d( + out_channels, + out_channels, + kernel_size=(3, 1, 1), + stride=1, + padding=0, + ), + ) + self.nin_shortcut = ( + CausalConv3d(in_channels, out_channels, kernel_size=1, stride=1, padding=0) + if in_channels != out_channels + else nn.Identity() + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + h = x + h = self.norm1(h) + h = nonlinearity(h) + h = self.conv1(h) + + h = self.norm2(h) + h = nonlinearity(h) + h = self.dropout(h) + h = self.conv2(h) + x = self.nin_shortcut(x) + + return x + h + + +class CausalAttnBlock(nn.Module): + def __init__(self, in_channels: int, num_groups: int) -> None: + super().__init__() + + self.norm = CausalNormalize(in_channels, num_groups=num_groups) + self.q = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + self.k = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + self.v = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + self.proj_out = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + + self.optimized_attention = vae_attention() + + def forward(self, x: torch.Tensor) -> torch.Tensor: + h_ = x + h_ = self.norm(h_) + q = self.q(h_) + k = self.k(h_) + v = self.v(h_) + + # compute attention + q, batch_size = time2batch(q) + k, batch_size = time2batch(k) + v, batch_size = time2batch(v) + + b, c, h, w = q.shape + h_ = self.optimized_attention(q, k, v) + + h_ = batch2time(h_, batch_size) + h_ = self.proj_out(h_) + return x + h_ + + +class CausalTemporalAttnBlock(nn.Module): + def __init__(self, in_channels: int, num_groups: int) -> None: + super().__init__() + + self.norm = CausalNormalize(in_channels, num_groups=num_groups) + self.q = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + self.k = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + self.v = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + self.proj_out = CausalConv3d( + in_channels, in_channels, kernel_size=1, stride=1, padding=0 + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + h_ = x + h_ = self.norm(h_) + q = self.q(h_) + k = self.k(h_) + v = self.v(h_) + + # compute attention + q, batch_size, height = space2batch(q) + k, _, _ = space2batch(k) + v, _, _ = space2batch(v) + + bhw, c, t = q.shape + q = q.permute(0, 2, 1) # (bhw, t, c) + k = k.permute(0, 2, 1) # (bhw, t, c) + v = v.permute(0, 2, 1) # (bhw, t, c) + + w_ = torch.bmm(q, k.permute(0, 2, 1)) # (bhw, t, t) + w_ = w_ * (int(c) ** (-0.5)) + + # Apply causal mask + mask = torch.tril(torch.ones_like(w_)) + w_ = w_.masked_fill(mask == 0, float("-inf")) + w_ = F.softmax(w_, dim=2) + + # attend to values + h_ = torch.bmm(w_, v) # (bhw, t, c) + h_ = h_.permute(0, 2, 1).reshape(bhw, c, t) # (bhw, c, t) + + h_ = batch2space(h_, batch_size, height) + h_ = self.proj_out(h_) + return x + h_ + + +class EncoderBase(nn.Module): + def __init__( + self, + in_channels: int, + channels: int, + channels_mult: list[int], + num_res_blocks: int, + attn_resolutions: list[int], + dropout: float, + resolution: int, + z_channels: int, + **ignore_kwargs, + ) -> None: + super().__init__() + self.num_resolutions = len(channels_mult) + self.num_res_blocks = num_res_blocks + + # Patcher. + patch_size = ignore_kwargs.get("patch_size", 1) + self.patcher = Patcher( + patch_size, ignore_kwargs.get("patch_method", "rearrange") + ) + in_channels = in_channels * patch_size * patch_size + + # downsampling + self.conv_in = CausalConv3d( + in_channels, channels, kernel_size=3, stride=1, padding=1 + ) + + # num of groups for GroupNorm, num_groups=1 for LayerNorm. + num_groups = ignore_kwargs.get("num_groups", _LEGACY_NUM_GROUPS) + curr_res = resolution // patch_size + in_ch_mult = (1,) + tuple(channels_mult) + self.in_ch_mult = in_ch_mult + self.down = nn.ModuleList() + for i_level in range(self.num_resolutions): + block = nn.ModuleList() + attn = nn.ModuleList() + block_in = channels * in_ch_mult[i_level] + block_out = channels * channels_mult[i_level] + for _ in range(self.num_res_blocks): + block.append( + CausalResnetBlock3d( + in_channels=block_in, + out_channels=block_out, + dropout=dropout, + num_groups=num_groups, + ) + ) + block_in = block_out + if curr_res in attn_resolutions: + attn.append(CausalAttnBlock(block_in, num_groups=num_groups)) + down = nn.Module() + down.block = block + down.attn = attn + if i_level != self.num_resolutions - 1: + down.downsample = CausalDownsample3d(block_in) + curr_res = curr_res // 2 + self.down.append(down) + + # middle + self.mid = nn.Module() + self.mid.block_1 = CausalResnetBlock3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=num_groups, + ) + self.mid.attn_1 = CausalAttnBlock(block_in, num_groups=num_groups) + self.mid.block_2 = CausalResnetBlock3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=num_groups, + ) + + # end + self.norm_out = CausalNormalize(block_in, num_groups=num_groups) + self.conv_out = CausalConv3d( + block_in, z_channels, kernel_size=3, stride=1, padding=1 + ) + + def patcher3d(self, x: torch.Tensor) -> torch.Tensor: + x, batch_size = time2batch(x) + x = self.patcher(x) + x = batch2time(x, batch_size) + return x + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.patcher3d(x) + + # downsampling + hs = [self.conv_in(x)] + for i_level in range(self.num_resolutions): + for i_block in range(self.num_res_blocks): + h = self.down[i_level].block[i_block](hs[-1]) + if len(self.down[i_level].attn) > 0: + h = self.down[i_level].attn[i_block](h) + hs.append(h) + if i_level != self.num_resolutions - 1: + hs.append(self.down[i_level].downsample(hs[-1])) + else: + # temporal downsample (last level) + time_factor = 1 + 1 * (hs[-1].shape[2] > 1) + if isinstance(time_factor, torch.Tensor): + time_factor = time_factor.item() + hs[-1] = replication_pad(hs[-1]) + hs.append( + F.avg_pool3d( + hs[-1], + kernel_size=[time_factor, 1, 1], + stride=[2, 1, 1], + ) + ) + + # middle + h = hs[-1] + h = self.mid.block_1(h) + h = self.mid.attn_1(h) + h = self.mid.block_2(h) + + # end + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h) + return h + + +class DecoderBase(nn.Module): + def __init__( + self, + out_channels: int, + channels: int, + channels_mult: list[int], + num_res_blocks: int, + attn_resolutions: list[int], + dropout: float, + resolution: int, + z_channels: int, + **ignore_kwargs, + ): + super().__init__() + self.num_resolutions = len(channels_mult) + self.num_res_blocks = num_res_blocks + + # UnPatcher. + patch_size = ignore_kwargs.get("patch_size", 1) + self.unpatcher = UnPatcher( + patch_size, ignore_kwargs.get("patch_method", "rearrange") + ) + out_ch = out_channels * patch_size * patch_size + + block_in = channels * channels_mult[self.num_resolutions - 1] + curr_res = (resolution // patch_size) // 2 ** (self.num_resolutions - 1) + self.z_shape = (1, z_channels, curr_res, curr_res) + logging.debug( + "Working with z of shape {} = {} dimensions.".format( + self.z_shape, np.prod(self.z_shape) + ) + ) + + # z to block_in + self.conv_in = CausalConv3d( + z_channels, block_in, kernel_size=3, stride=1, padding=1 + ) + + # num of groups for GroupNorm, num_groups=1 for LayerNorm. + num_groups = ignore_kwargs.get("num_groups", _LEGACY_NUM_GROUPS) + + # middle + self.mid = nn.Module() + self.mid.block_1 = CausalResnetBlock3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=num_groups, + ) + self.mid.attn_1 = CausalAttnBlock(block_in, num_groups=num_groups) + self.mid.block_2 = CausalResnetBlock3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=num_groups, + ) + + # upsampling + self.up = nn.ModuleList() + for i_level in reversed(range(self.num_resolutions)): + block = nn.ModuleList() + attn = nn.ModuleList() + block_out = channels * channels_mult[i_level] + for _ in range(self.num_res_blocks + 1): + block.append( + CausalResnetBlock3d( + in_channels=block_in, + out_channels=block_out, + dropout=dropout, + num_groups=num_groups, + ) + ) + block_in = block_out + if curr_res in attn_resolutions: + attn.append(CausalAttnBlock(block_in, num_groups=num_groups)) + up = nn.Module() + up.block = block + up.attn = attn + if i_level != 0: + up.upsample = CausalUpsample3d(block_in) + curr_res = curr_res * 2 + self.up.insert(0, up) # prepend to get consistent order + + # end + self.norm_out = CausalNormalize(block_in, num_groups=num_groups) + self.conv_out = CausalConv3d( + block_in, out_ch, kernel_size=3, stride=1, padding=1 + ) + + def unpatcher3d(self, x: torch.Tensor) -> torch.Tensor: + x, batch_size = time2batch(x) + x = self.unpatcher(x) + x = batch2time(x, batch_size) + + return x + + def forward(self, z): + h = self.conv_in(z) + + # middle block. + h = self.mid.block_1(h) + h = self.mid.attn_1(h) + h = self.mid.block_2(h) + + # decoder blocks. + for i_level in reversed(range(self.num_resolutions)): + for i_block in range(self.num_res_blocks + 1): + h = self.up[i_level].block[i_block](h) + if len(self.up[i_level].attn) > 0: + h = self.up[i_level].attn[i_block](h) + if i_level != 0: + h = self.up[i_level].upsample(h) + else: + # temporal upsample (last level) + time_factor = 1.0 + 1.0 * (h.shape[2] > 1) + if isinstance(time_factor, torch.Tensor): + time_factor = time_factor.item() + h = h.repeat_interleave(int(time_factor), dim=2) + h = h[..., int(time_factor - 1) :, :, :] + + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h) + h = self.unpatcher3d(h) + return h + + +class EncoderFactorized(nn.Module): + def __init__( + self, + in_channels: int, + channels: int, + channels_mult: list[int], + num_res_blocks: int, + attn_resolutions: list[int], + dropout: float, + resolution: int, + z_channels: int, + spatial_compression: int = 8, + temporal_compression: int = 8, + **ignore_kwargs, + ) -> None: + super().__init__() + self.num_resolutions = len(channels_mult) + self.num_res_blocks = num_res_blocks + + # Patcher. + patch_size = ignore_kwargs.get("patch_size", 1) + self.patcher3d = Patcher3D( + patch_size, ignore_kwargs.get("patch_method", "haar") + ) + in_channels = in_channels * patch_size * patch_size * patch_size + + # calculate the number of downsample operations + self.num_spatial_downs = int(math.log2(spatial_compression)) - int( + math.log2(patch_size) + ) + assert ( + self.num_spatial_downs <= self.num_resolutions + ), f"Spatially downsample {self.num_resolutions} times at most" + + self.num_temporal_downs = int(math.log2(temporal_compression)) - int( + math.log2(patch_size) + ) + assert ( + self.num_temporal_downs <= self.num_resolutions + ), f"Temporally downsample {self.num_resolutions} times at most" + + # downsampling + self.conv_in = nn.Sequential( + CausalConv3d( + in_channels, + channels, + kernel_size=(1, 3, 3), + stride=1, + padding=1, + ), + CausalConv3d( + channels, channels, kernel_size=(3, 1, 1), stride=1, padding=0 + ), + ) + + curr_res = resolution // patch_size + in_ch_mult = (1,) + tuple(channels_mult) + self.in_ch_mult = in_ch_mult + self.down = nn.ModuleList() + for i_level in range(self.num_resolutions): + block = nn.ModuleList() + attn = nn.ModuleList() + block_in = channels * in_ch_mult[i_level] + block_out = channels * channels_mult[i_level] + for _ in range(self.num_res_blocks): + block.append( + CausalResnetBlockFactorized3d( + in_channels=block_in, + out_channels=block_out, + dropout=dropout, + num_groups=1, + ) + ) + block_in = block_out + if curr_res in attn_resolutions: + attn.append( + nn.Sequential( + CausalAttnBlock(block_in, num_groups=1), + CausalTemporalAttnBlock(block_in, num_groups=1), + ) + ) + down = nn.Module() + down.block = block + down.attn = attn + if i_level != self.num_resolutions - 1: + spatial_down = i_level < self.num_spatial_downs + temporal_down = i_level < self.num_temporal_downs + down.downsample = CausalHybridDownsample3d( + block_in, + spatial_down=spatial_down, + temporal_down=temporal_down, + ) + curr_res = curr_res // 2 + self.down.append(down) + + # middle + self.mid = nn.Module() + self.mid.block_1 = CausalResnetBlockFactorized3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=1, + ) + self.mid.attn_1 = nn.Sequential( + CausalAttnBlock(block_in, num_groups=1), + CausalTemporalAttnBlock(block_in, num_groups=1), + ) + self.mid.block_2 = CausalResnetBlockFactorized3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=1, + ) + + # end + self.norm_out = CausalNormalize(block_in, num_groups=1) + self.conv_out = nn.Sequential( + CausalConv3d( + block_in, z_channels, kernel_size=(1, 3, 3), stride=1, padding=1 + ), + CausalConv3d( + z_channels, + z_channels, + kernel_size=(3, 1, 1), + stride=1, + padding=0, + ), + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.patcher3d(x) + + # downsampling + h = self.conv_in(x) + for i_level in range(self.num_resolutions): + for i_block in range(self.num_res_blocks): + h = self.down[i_level].block[i_block](h) + if len(self.down[i_level].attn) > 0: + h = self.down[i_level].attn[i_block](h) + if i_level != self.num_resolutions - 1: + h = self.down[i_level].downsample(h) + + # middle + h = self.mid.block_1(h) + h = self.mid.attn_1(h) + h = self.mid.block_2(h) + + # end + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h) + return h + + +class DecoderFactorized(nn.Module): + def __init__( + self, + out_channels: int, + channels: int, + channels_mult: list[int], + num_res_blocks: int, + attn_resolutions: list[int], + dropout: float, + resolution: int, + z_channels: int, + spatial_compression: int = 8, + temporal_compression: int = 8, + **ignore_kwargs, + ): + super().__init__() + self.num_resolutions = len(channels_mult) + self.num_res_blocks = num_res_blocks + + # UnPatcher. + patch_size = ignore_kwargs.get("patch_size", 1) + self.unpatcher3d = UnPatcher3D( + patch_size, ignore_kwargs.get("patch_method", "haar") + ) + out_ch = out_channels * patch_size * patch_size * patch_size + + # calculate the number of upsample operations + self.num_spatial_ups = int(math.log2(spatial_compression)) - int( + math.log2(patch_size) + ) + assert ( + self.num_spatial_ups <= self.num_resolutions + ), f"Spatially upsample {self.num_resolutions} times at most" + self.num_temporal_ups = int(math.log2(temporal_compression)) - int( + math.log2(patch_size) + ) + assert ( + self.num_temporal_ups <= self.num_resolutions + ), f"Temporally upsample {self.num_resolutions} times at most" + + block_in = channels * channels_mult[self.num_resolutions - 1] + curr_res = (resolution // patch_size) // 2 ** (self.num_resolutions - 1) + self.z_shape = (1, z_channels, curr_res, curr_res) + logging.debug( + "Working with z of shape {} = {} dimensions.".format( + self.z_shape, np.prod(self.z_shape) + ) + ) + + # z to block_in + self.conv_in = nn.Sequential( + CausalConv3d( + z_channels, block_in, kernel_size=(1, 3, 3), stride=1, padding=1 + ), + CausalConv3d( + block_in, block_in, kernel_size=(3, 1, 1), stride=1, padding=0 + ), + ) + + # middle + self.mid = nn.Module() + self.mid.block_1 = CausalResnetBlockFactorized3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=1, + ) + self.mid.attn_1 = nn.Sequential( + CausalAttnBlock(block_in, num_groups=1), + CausalTemporalAttnBlock(block_in, num_groups=1), + ) + self.mid.block_2 = CausalResnetBlockFactorized3d( + in_channels=block_in, + out_channels=block_in, + dropout=dropout, + num_groups=1, + ) + + legacy_mode = ignore_kwargs.get("legacy_mode", False) + # upsampling + self.up = nn.ModuleList() + for i_level in reversed(range(self.num_resolutions)): + block = nn.ModuleList() + attn = nn.ModuleList() + block_out = channels * channels_mult[i_level] + for _ in range(self.num_res_blocks + 1): + block.append( + CausalResnetBlockFactorized3d( + in_channels=block_in, + out_channels=block_out, + dropout=dropout, + num_groups=1, + ) + ) + block_in = block_out + if curr_res in attn_resolutions: + attn.append( + nn.Sequential( + CausalAttnBlock(block_in, num_groups=1), + CausalTemporalAttnBlock(block_in, num_groups=1), + ) + ) + up = nn.Module() + up.block = block + up.attn = attn + if i_level != 0: + # The layer index for temporal/spatial downsampling performed + # in the encoder should correspond to the layer index in + # reverse order where upsampling is performed in the decoder. + # If you've a pre-trained model, you can simply finetune. + i_level_reverse = self.num_resolutions - i_level - 1 + if legacy_mode: + temporal_up = i_level_reverse < self.num_temporal_ups + else: + temporal_up = 0 < i_level_reverse < self.num_temporal_ups + 1 + spatial_up = temporal_up or ( + i_level_reverse < self.num_spatial_ups + and self.num_spatial_ups > self.num_temporal_ups + ) + up.upsample = CausalHybridUpsample3d( + block_in, spatial_up=spatial_up, temporal_up=temporal_up + ) + curr_res = curr_res * 2 + self.up.insert(0, up) # prepend to get consistent order + + # end + self.norm_out = CausalNormalize(block_in, num_groups=1) + self.conv_out = nn.Sequential( + CausalConv3d(block_in, out_ch, kernel_size=(1, 3, 3), stride=1, padding=1), + CausalConv3d(out_ch, out_ch, kernel_size=(3, 1, 1), stride=1, padding=0), + ) + + def forward(self, z): + h = self.conv_in(z) + + # middle block. + h = self.mid.block_1(h) + h = self.mid.attn_1(h) + h = self.mid.block_2(h) + + # decoder blocks. + for i_level in reversed(range(self.num_resolutions)): + for i_block in range(self.num_res_blocks + 1): + h = self.up[i_level].block[i_block](h) + if len(self.up[i_level].attn) > 0: + h = self.up[i_level].attn[i_block](h) + if i_level != 0: + h = self.up[i_level].upsample(h) + + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h) + h = self.unpatcher3d(h) + return h diff --git a/comfy/ldm/cosmos/cosmos_tokenizer/patching.py b/comfy/ldm/cosmos/cosmos_tokenizer/patching.py new file mode 100644 index 0000000000000000000000000000000000000000..87a53a1d9f9ac4fa6bdbb1f8f682c298fdd4376c --- /dev/null +++ b/comfy/ldm/cosmos/cosmos_tokenizer/patching.py @@ -0,0 +1,377 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""The patcher and unpatcher implementation for 2D and 3D data. + +The idea of Haar wavelet is to compute LL, LH, HL, HH component as two 1D convolutions. +One on the rows and one on the columns. +For example, in 1D signal, we have [a, b], then the low-freq compoenent is [a + b] / 2 and high-freq is [a - b] / 2. +We can use a 1D convolution with kernel [1, 1] and stride 2 to represent the L component. +For H component, we can use a 1D convolution with kernel [1, -1] and stride 2. +Although in principle, we typically only do additional Haar wavelet over the LL component. But here we do it for all + as we need to support downsampling for more than 2x. +For example, 4x downsampling can be done by 2x Haar and additional 2x Haar, and the shape would be. + [3, 256, 256] -> [12, 128, 128] -> [48, 64, 64] +""" + +import torch +import torch.nn.functional as F +from einops import rearrange + +_WAVELETS = { + "haar": torch.tensor([0.7071067811865476, 0.7071067811865476]), + "rearrange": torch.tensor([1.0, 1.0]), +} +_PERSISTENT = False + + +class Patcher(torch.nn.Module): + """A module to convert image tensors into patches using torch operations. + + The main difference from `class Patching` is that this module implements + all operations using torch, rather than python or numpy, for efficiency purpose. + + It's bit-wise identical to the Patching module outputs, with the added + benefit of being torch.jit scriptable. + """ + + def __init__(self, patch_size=1, patch_method="haar"): + super().__init__() + self.patch_size = patch_size + self.patch_method = patch_method + self.register_buffer( + "wavelets", _WAVELETS[patch_method], persistent=_PERSISTENT + ) + self.range = range(int(torch.log2(torch.tensor(self.patch_size)).item())) + self.register_buffer( + "_arange", + torch.arange(_WAVELETS[patch_method].shape[0]), + persistent=_PERSISTENT, + ) + for param in self.parameters(): + param.requires_grad = False + + def forward(self, x): + if self.patch_method == "haar": + return self._haar(x) + elif self.patch_method == "rearrange": + return self._arrange(x) + else: + raise ValueError("Unknown patch method: " + self.patch_method) + + def _dwt(self, x, mode="reflect", rescale=False): + dtype = x.dtype + h = self.wavelets.to(device=x.device) + + n = h.shape[0] + g = x.shape[1] + hl = h.flip(0).reshape(1, 1, -1).repeat(g, 1, 1) + hh = (h * ((-1) ** self._arange.to(device=x.device))).reshape(1, 1, -1).repeat(g, 1, 1) + hh = hh.to(dtype=dtype) + hl = hl.to(dtype=dtype) + + x = F.pad(x, pad=(n - 2, n - 1, n - 2, n - 1), mode=mode).to(dtype) + xl = F.conv2d(x, hl.unsqueeze(2), groups=g, stride=(1, 2)) + xh = F.conv2d(x, hh.unsqueeze(2), groups=g, stride=(1, 2)) + xll = F.conv2d(xl, hl.unsqueeze(3), groups=g, stride=(2, 1)) + xlh = F.conv2d(xl, hh.unsqueeze(3), groups=g, stride=(2, 1)) + xhl = F.conv2d(xh, hl.unsqueeze(3), groups=g, stride=(2, 1)) + xhh = F.conv2d(xh, hh.unsqueeze(3), groups=g, stride=(2, 1)) + + out = torch.cat([xll, xlh, xhl, xhh], dim=1) + if rescale: + out = out / 2 + return out + + def _haar(self, x): + for _ in self.range: + x = self._dwt(x, rescale=True) + return x + + def _arrange(self, x): + x = rearrange( + x, + "b c (h p1) (w p2) -> b (c p1 p2) h w", + p1=self.patch_size, + p2=self.patch_size, + ).contiguous() + return x + + +class Patcher3D(Patcher): + """A 3D discrete wavelet transform for video data, expects 5D tensor, i.e. a batch of videos.""" + + def __init__(self, patch_size=1, patch_method="haar"): + super().__init__(patch_method=patch_method, patch_size=patch_size) + self.register_buffer( + "patch_size_buffer", + patch_size * torch.ones([1], dtype=torch.int32), + persistent=_PERSISTENT, + ) + + def _dwt(self, x, wavelet, mode="reflect", rescale=False): + dtype = x.dtype + h = self.wavelets.to(device=x.device) + + n = h.shape[0] + g = x.shape[1] + hl = h.flip(0).reshape(1, 1, -1).repeat(g, 1, 1) + hh = (h * ((-1) ** self._arange.to(device=x.device))).reshape(1, 1, -1).repeat(g, 1, 1) + hh = hh.to(dtype=dtype) + hl = hl.to(dtype=dtype) + + # Handles temporal axis. + x = F.pad( + x, pad=(max(0, n - 2), n - 1, n - 2, n - 1, n - 2, n - 1), mode=mode + ).to(dtype) + xl = F.conv3d(x, hl.unsqueeze(3).unsqueeze(4), groups=g, stride=(2, 1, 1)) + xh = F.conv3d(x, hh.unsqueeze(3).unsqueeze(4), groups=g, stride=(2, 1, 1)) + + # Handles spatial axes. + xll = F.conv3d(xl, hl.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1)) + xlh = F.conv3d(xl, hh.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1)) + xhl = F.conv3d(xh, hl.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1)) + xhh = F.conv3d(xh, hh.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1)) + + xlll = F.conv3d(xll, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xllh = F.conv3d(xll, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xlhl = F.conv3d(xlh, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xlhh = F.conv3d(xlh, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xhll = F.conv3d(xhl, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xhlh = F.conv3d(xhl, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xhhl = F.conv3d(xhh, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + xhhh = F.conv3d(xhh, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2)) + + out = torch.cat([xlll, xllh, xlhl, xlhh, xhll, xhlh, xhhl, xhhh], dim=1) + if rescale: + out = out / (2 * torch.sqrt(torch.tensor(2.0))) + return out + + def _haar(self, x): + xi, xv = torch.split(x, [1, x.shape[2] - 1], dim=2) + x = torch.cat([xi.repeat_interleave(self.patch_size, dim=2), xv], dim=2) + for _ in self.range: + x = self._dwt(x, "haar", rescale=True) + return x + + def _arrange(self, x): + xi, xv = torch.split(x, [1, x.shape[2] - 1], dim=2) + x = torch.cat([xi.repeat_interleave(self.patch_size, dim=2), xv], dim=2) + x = rearrange( + x, + "b c (t p1) (h p2) (w p3) -> b (c p1 p2 p3) t h w", + p1=self.patch_size, + p2=self.patch_size, + p3=self.patch_size, + ).contiguous() + return x + + +class UnPatcher(torch.nn.Module): + """A module to convert patches into image tensorsusing torch operations. + + The main difference from `class Unpatching` is that this module implements + all operations using torch, rather than python or numpy, for efficiency purpose. + + It's bit-wise identical to the Unpatching module outputs, with the added + benefit of being torch.jit scriptable. + """ + + def __init__(self, patch_size=1, patch_method="haar"): + super().__init__() + self.patch_size = patch_size + self.patch_method = patch_method + self.register_buffer( + "wavelets", _WAVELETS[patch_method], persistent=_PERSISTENT + ) + self.range = range(int(torch.log2(torch.tensor(self.patch_size)).item())) + self.register_buffer( + "_arange", + torch.arange(_WAVELETS[patch_method].shape[0]), + persistent=_PERSISTENT, + ) + for param in self.parameters(): + param.requires_grad = False + + def forward(self, x): + if self.patch_method == "haar": + return self._ihaar(x) + elif self.patch_method == "rearrange": + return self._iarrange(x) + else: + raise ValueError("Unknown patch method: " + self.patch_method) + + def _idwt(self, x, wavelet="haar", mode="reflect", rescale=False): + dtype = x.dtype + h = self.wavelets.to(device=x.device) + n = h.shape[0] + + g = x.shape[1] // 4 + hl = h.flip([0]).reshape(1, 1, -1).repeat([g, 1, 1]) + hh = (h * ((-1) ** self._arange.to(device=x.device))).reshape(1, 1, -1).repeat(g, 1, 1) + hh = hh.to(dtype=dtype) + hl = hl.to(dtype=dtype) + + xll, xlh, xhl, xhh = torch.chunk(x.to(dtype), 4, dim=1) + + # Inverse transform. + yl = torch.nn.functional.conv_transpose2d( + xll, hl.unsqueeze(3), groups=g, stride=(2, 1), padding=(n - 2, 0) + ) + yl += torch.nn.functional.conv_transpose2d( + xlh, hh.unsqueeze(3), groups=g, stride=(2, 1), padding=(n - 2, 0) + ) + yh = torch.nn.functional.conv_transpose2d( + xhl, hl.unsqueeze(3), groups=g, stride=(2, 1), padding=(n - 2, 0) + ) + yh += torch.nn.functional.conv_transpose2d( + xhh, hh.unsqueeze(3), groups=g, stride=(2, 1), padding=(n - 2, 0) + ) + y = torch.nn.functional.conv_transpose2d( + yl, hl.unsqueeze(2), groups=g, stride=(1, 2), padding=(0, n - 2) + ) + y += torch.nn.functional.conv_transpose2d( + yh, hh.unsqueeze(2), groups=g, stride=(1, 2), padding=(0, n - 2) + ) + + if rescale: + y = y * 2 + return y + + def _ihaar(self, x): + for _ in self.range: + x = self._idwt(x, "haar", rescale=True) + return x + + def _iarrange(self, x): + x = rearrange( + x, + "b (c p1 p2) h w -> b c (h p1) (w p2)", + p1=self.patch_size, + p2=self.patch_size, + ) + return x + + +class UnPatcher3D(UnPatcher): + """A 3D inverse discrete wavelet transform for video wavelet decompositions.""" + + def __init__(self, patch_size=1, patch_method="haar"): + super().__init__(patch_method=patch_method, patch_size=patch_size) + + def _idwt(self, x, wavelet="haar", mode="reflect", rescale=False): + dtype = x.dtype + h = self.wavelets.to(device=x.device) + + g = x.shape[1] // 8 # split into 8 spatio-temporal filtered tesnors. + hl = h.flip([0]).reshape(1, 1, -1).repeat([g, 1, 1]) + hh = (h * ((-1) ** self._arange.to(device=x.device))).reshape(1, 1, -1).repeat(g, 1, 1) + hl = hl.to(dtype=dtype) + hh = hh.to(dtype=dtype) + + xlll, xllh, xlhl, xlhh, xhll, xhlh, xhhl, xhhh = torch.chunk(x, 8, dim=1) + del x + + # Height height transposed convolutions. + xll = F.conv_transpose3d( + xlll, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xlll + + xll += F.conv_transpose3d( + xllh, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xllh + + xlh = F.conv_transpose3d( + xlhl, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xlhl + + xlh += F.conv_transpose3d( + xlhh, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xlhh + + xhl = F.conv_transpose3d( + xhll, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xhll + + xhl += F.conv_transpose3d( + xhlh, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xhlh + + xhh = F.conv_transpose3d( + xhhl, hl.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xhhl + + xhh += F.conv_transpose3d( + xhhh, hh.unsqueeze(2).unsqueeze(3), groups=g, stride=(1, 1, 2) + ) + del xhhh + + # Handles width transposed convolutions. + xl = F.conv_transpose3d( + xll, hl.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1) + ) + del xll + + xl += F.conv_transpose3d( + xlh, hh.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1) + ) + del xlh + + xh = F.conv_transpose3d( + xhl, hl.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1) + ) + del xhl + + xh += F.conv_transpose3d( + xhh, hh.unsqueeze(2).unsqueeze(4), groups=g, stride=(1, 2, 1) + ) + del xhh + + # Handles time axis transposed convolutions. + x = F.conv_transpose3d( + xl, hl.unsqueeze(3).unsqueeze(4), groups=g, stride=(2, 1, 1) + ) + del xl + + x += F.conv_transpose3d( + xh, hh.unsqueeze(3).unsqueeze(4), groups=g, stride=(2, 1, 1) + ) + + if rescale: + x = x * (2 * torch.sqrt(torch.tensor(2.0))) + return x + + def _ihaar(self, x): + for _ in self.range: + x = self._idwt(x, "haar", rescale=True) + x = x[:, :, self.patch_size - 1 :, ...] + return x + + def _iarrange(self, x): + x = rearrange( + x, + "b (c p1 p2 p3) t h w -> b c (t p1) (h p2) (w p3)", + p1=self.patch_size, + p2=self.patch_size, + p3=self.patch_size, + ) + x = x[:, :, self.patch_size - 1 :, ...] + return x diff --git a/comfy/ldm/cosmos/cosmos_tokenizer/utils.py b/comfy/ldm/cosmos/cosmos_tokenizer/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..ca993006fc800db4cd016fe43e67ae7473ab1634 --- /dev/null +++ b/comfy/ldm/cosmos/cosmos_tokenizer/utils.py @@ -0,0 +1,113 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Shared utilities for the networks module.""" + +from typing import Any + +import torch +from einops import rearrange + + +import comfy.ops +ops = comfy.ops.disable_weight_init + +def time2batch(x: torch.Tensor) -> tuple[torch.Tensor, int]: + batch_size = x.shape[0] + return rearrange(x, "b c t h w -> (b t) c h w"), batch_size + + +def batch2time(x: torch.Tensor, batch_size: int) -> torch.Tensor: + return rearrange(x, "(b t) c h w -> b c t h w", b=batch_size) + + +def space2batch(x: torch.Tensor) -> tuple[torch.Tensor, int]: + batch_size, height = x.shape[0], x.shape[-2] + return rearrange(x, "b c t h w -> (b h w) c t"), batch_size, height + + +def batch2space(x: torch.Tensor, batch_size: int, height: int) -> torch.Tensor: + return rearrange(x, "(b h w) c t -> b c t h w", b=batch_size, h=height) + + +def cast_tuple(t: Any, length: int = 1) -> Any: + return t if isinstance(t, tuple) else ((t,) * length) + + +def replication_pad(x): + return torch.cat([x[:, :, :1, ...], x], dim=2) + + +def divisible_by(num: int, den: int) -> bool: + return (num % den) == 0 + + +def is_odd(n: int) -> bool: + return not divisible_by(n, 2) + + +def nonlinearity(x): + # x * sigmoid(x) + return torch.nn.functional.silu(x) + + +def Normalize(in_channels, num_groups=32): + return ops.GroupNorm( + num_groups=num_groups, num_channels=in_channels, eps=1e-6, affine=True + ) + + +class CausalNormalize(torch.nn.Module): + def __init__(self, in_channels, num_groups=1): + super().__init__() + self.norm = ops.GroupNorm( + num_groups=num_groups, + num_channels=in_channels, + eps=1e-6, + affine=True, + ) + self.num_groups = num_groups + + def forward(self, x): + # if num_groups !=1, we apply a spatio-temporal groupnorm for backward compatibility purpose. + # All new models should use num_groups=1, otherwise causality is not guaranteed. + if self.num_groups == 1: + x, batch_size = time2batch(x) + return batch2time(self.norm(x), batch_size) + return self.norm(x) + + +def exists(v): + return v is not None + + +def default(*args): + for arg in args: + if exists(arg): + return arg + return None + + +def round_ste(z: torch.Tensor) -> torch.Tensor: + """Round with straight through gradients.""" + zhat = z.round() + return z + (zhat - z).detach() + + +def log(t, eps=1e-5): + return t.clamp(min=eps).log() + + +def entropy(prob): + return (-prob * log(prob)).sum(dim=-1) diff --git a/comfy/ldm/cosmos/model.py b/comfy/ldm/cosmos/model.py new file mode 100644 index 0000000000000000000000000000000000000000..52ef7ef4340ad0e0b8f06477981f08331399fa96 --- /dev/null +++ b/comfy/ldm/cosmos/model.py @@ -0,0 +1,552 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +A general implementation of adaln-modulated VIT-like~(DiT) transformer for video processing. +""" + +from typing import Optional, Tuple + +import torch +from einops import rearrange +from torch import nn +from torchvision import transforms + +from enum import Enum +import logging + +import comfy.patcher_extension + +from .blocks import ( + FinalLayer, + GeneralDITTransformerBlock, + PatchEmbed, + TimestepEmbedding, + Timesteps, +) + +from .position_embedding import LearnablePosEmbAxis, VideoRopePosition3DEmb + + +class DataType(Enum): + IMAGE = "image" + VIDEO = "video" + + +class GeneralDIT(nn.Module): + """ + A general implementation of adaln-modulated VIT-like~(DiT) transformer for video processing. + + Args: + max_img_h (int): Maximum height of the input images. + max_img_w (int): Maximum width of the input images. + max_frames (int): Maximum number of frames in the video sequence. + in_channels (int): Number of input channels (e.g., RGB channels for color images). + out_channels (int): Number of output channels. + patch_spatial (tuple): Spatial resolution of patches for input processing. + patch_temporal (int): Temporal resolution of patches for input processing. + concat_padding_mask (bool): If True, includes a mask channel in the input to handle padding. + block_config (str): Configuration of the transformer block. See Notes for supported block types. + model_channels (int): Base number of channels used throughout the model. + num_blocks (int): Number of transformer blocks. + num_heads (int): Number of heads in the multi-head attention layers. + mlp_ratio (float): Expansion ratio for MLP blocks. + block_x_format (str): Format of input tensor for transformer blocks ('BTHWD' or 'THWBD'). + crossattn_emb_channels (int): Number of embedding channels for cross-attention. + use_cross_attn_mask (bool): Whether to use mask in cross-attention. + pos_emb_cls (str): Type of positional embeddings. + pos_emb_learnable (bool): Whether positional embeddings are learnable. + pos_emb_interpolation (str): Method for interpolating positional embeddings. + affline_emb_norm (bool): Whether to normalize affine embeddings. + use_adaln_lora (bool): Whether to use AdaLN-LoRA. + adaln_lora_dim (int): Dimension for AdaLN-LoRA. + rope_h_extrapolation_ratio (float): Height extrapolation ratio for RoPE. + rope_w_extrapolation_ratio (float): Width extrapolation ratio for RoPE. + rope_t_extrapolation_ratio (float): Temporal extrapolation ratio for RoPE. + extra_per_block_abs_pos_emb (bool): Whether to use extra per-block absolute positional embeddings. + extra_per_block_abs_pos_emb_type (str): Type of extra per-block positional embeddings. + extra_h_extrapolation_ratio (float): Height extrapolation ratio for extra embeddings. + extra_w_extrapolation_ratio (float): Width extrapolation ratio for extra embeddings. + extra_t_extrapolation_ratio (float): Temporal extrapolation ratio for extra embeddings. + + Notes: + Supported block types in block_config: + * cross_attn, ca: Cross attention + * full_attn: Full attention on all flattened tokens + * mlp, ff: Feed forward block + """ + + def __init__( + self, + max_img_h: int, + max_img_w: int, + max_frames: int, + in_channels: int, + out_channels: int, + patch_spatial: tuple, + patch_temporal: int, + concat_padding_mask: bool = True, + # attention settings + block_config: str = "FA-CA-MLP", + model_channels: int = 768, + num_blocks: int = 10, + num_heads: int = 16, + mlp_ratio: float = 4.0, + block_x_format: str = "BTHWD", + # cross attention settings + crossattn_emb_channels: int = 1024, + use_cross_attn_mask: bool = False, + # positional embedding settings + pos_emb_cls: str = "sincos", + pos_emb_learnable: bool = False, + pos_emb_interpolation: str = "crop", + affline_emb_norm: bool = False, # whether or not to normalize the affine embedding + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + rope_h_extrapolation_ratio: float = 1.0, + rope_w_extrapolation_ratio: float = 1.0, + rope_t_extrapolation_ratio: float = 1.0, + extra_per_block_abs_pos_emb: bool = False, + extra_per_block_abs_pos_emb_type: str = "sincos", + extra_h_extrapolation_ratio: float = 1.0, + extra_w_extrapolation_ratio: float = 1.0, + extra_t_extrapolation_ratio: float = 1.0, + image_model=None, + device=None, + dtype=None, + operations=None, + ) -> None: + super().__init__() + self.max_img_h = max_img_h + self.max_img_w = max_img_w + self.max_frames = max_frames + self.in_channels = in_channels + self.out_channels = out_channels + self.patch_spatial = patch_spatial + self.patch_temporal = patch_temporal + self.num_heads = num_heads + self.num_blocks = num_blocks + self.model_channels = model_channels + self.use_cross_attn_mask = use_cross_attn_mask + self.concat_padding_mask = concat_padding_mask + # positional embedding settings + self.pos_emb_cls = pos_emb_cls + self.pos_emb_learnable = pos_emb_learnable + self.pos_emb_interpolation = pos_emb_interpolation + self.affline_emb_norm = affline_emb_norm + self.rope_h_extrapolation_ratio = rope_h_extrapolation_ratio + self.rope_w_extrapolation_ratio = rope_w_extrapolation_ratio + self.rope_t_extrapolation_ratio = rope_t_extrapolation_ratio + self.extra_per_block_abs_pos_emb = extra_per_block_abs_pos_emb + self.extra_per_block_abs_pos_emb_type = extra_per_block_abs_pos_emb_type.lower() + self.extra_h_extrapolation_ratio = extra_h_extrapolation_ratio + self.extra_w_extrapolation_ratio = extra_w_extrapolation_ratio + self.extra_t_extrapolation_ratio = extra_t_extrapolation_ratio + self.dtype = dtype + weight_args = {"device": device, "dtype": dtype} + + in_channels = in_channels + 1 if concat_padding_mask else in_channels + self.x_embedder = PatchEmbed( + spatial_patch_size=patch_spatial, + temporal_patch_size=patch_temporal, + in_channels=in_channels, + out_channels=model_channels, + bias=False, + weight_args=weight_args, + operations=operations, + ) + + self.build_pos_embed(device=device, dtype=dtype) + self.block_x_format = block_x_format + self.use_adaln_lora = use_adaln_lora + self.adaln_lora_dim = adaln_lora_dim + self.t_embedder = nn.ModuleList( + [Timesteps(model_channels), + TimestepEmbedding(model_channels, model_channels, use_adaln_lora=use_adaln_lora, weight_args=weight_args, operations=operations),] + ) + + self.blocks = nn.ModuleDict() + + for idx in range(num_blocks): + self.blocks[f"block{idx}"] = GeneralDITTransformerBlock( + x_dim=model_channels, + context_dim=crossattn_emb_channels, + num_heads=num_heads, + block_config=block_config, + mlp_ratio=mlp_ratio, + x_format=self.block_x_format, + use_adaln_lora=use_adaln_lora, + adaln_lora_dim=adaln_lora_dim, + weight_args=weight_args, + operations=operations, + ) + + if self.affline_emb_norm: + logging.debug("Building affine embedding normalization layer") + self.affline_norm = operations.RMSNorm(model_channels, elementwise_affine=True, eps=1e-6, device=device, dtype=dtype) + else: + self.affline_norm = nn.Identity() + + self.final_layer = FinalLayer( + hidden_size=self.model_channels, + spatial_patch_size=self.patch_spatial, + temporal_patch_size=self.patch_temporal, + out_channels=self.out_channels, + use_adaln_lora=self.use_adaln_lora, + adaln_lora_dim=self.adaln_lora_dim, + weight_args=weight_args, + operations=operations, + ) + + def build_pos_embed(self, device=None, dtype=None): + if self.pos_emb_cls == "rope3d": + cls_type = VideoRopePosition3DEmb + else: + raise ValueError(f"Unknown pos_emb_cls {self.pos_emb_cls}") + + logging.debug(f"Building positional embedding with {self.pos_emb_cls} class, impl {cls_type}") + kwargs = dict( + model_channels=self.model_channels, + len_h=self.max_img_h // self.patch_spatial, + len_w=self.max_img_w // self.patch_spatial, + len_t=self.max_frames // self.patch_temporal, + is_learnable=self.pos_emb_learnable, + interpolation=self.pos_emb_interpolation, + head_dim=self.model_channels // self.num_heads, + h_extrapolation_ratio=self.rope_h_extrapolation_ratio, + w_extrapolation_ratio=self.rope_w_extrapolation_ratio, + t_extrapolation_ratio=self.rope_t_extrapolation_ratio, + device=device, + ) + self.pos_embedder = cls_type( + **kwargs, + ) + + if self.extra_per_block_abs_pos_emb: + assert self.extra_per_block_abs_pos_emb_type in [ + "learnable", + ], f"Unknown extra_per_block_abs_pos_emb_type {self.extra_per_block_abs_pos_emb_type}" + kwargs["h_extrapolation_ratio"] = self.extra_h_extrapolation_ratio + kwargs["w_extrapolation_ratio"] = self.extra_w_extrapolation_ratio + kwargs["t_extrapolation_ratio"] = self.extra_t_extrapolation_ratio + kwargs["device"] = device + kwargs["dtype"] = dtype + self.extra_pos_embedder = LearnablePosEmbAxis( + **kwargs, + ) + + def prepare_embedded_sequence( + self, + x_B_C_T_H_W: torch.Tensor, + fps: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + latent_condition: Optional[torch.Tensor] = None, + latent_condition_sigma: Optional[torch.Tensor] = None, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor]]: + """ + Prepares an embedded sequence tensor by applying positional embeddings and handling padding masks. + + Args: + x_B_C_T_H_W (torch.Tensor): video + fps (Optional[torch.Tensor]): Frames per second tensor to be used for positional embedding when required. + If None, a default value (`self.base_fps`) will be used. + padding_mask (Optional[torch.Tensor]): current it is not used + + Returns: + Tuple[torch.Tensor, Optional[torch.Tensor]]: + - A tensor of shape (B, T, H, W, D) with the embedded sequence. + - An optional positional embedding tensor, returned only if the positional embedding class + (`self.pos_emb_cls`) includes 'rope'. Otherwise, None. + + Notes: + - If `self.concat_padding_mask` is True, a padding mask channel is concatenated to the input tensor. + - The method of applying positional embeddings depends on the value of `self.pos_emb_cls`. + - If 'rope' is in `self.pos_emb_cls` (case insensitive), the positional embeddings are generated using + the `self.pos_embedder` with the shape [T, H, W]. + - If "fps_aware" is in `self.pos_emb_cls`, the positional embeddings are generated using the + `self.pos_embedder` with the fps tensor. + - Otherwise, the positional embeddings are generated without considering fps. + """ + if self.concat_padding_mask: + if padding_mask is not None: + padding_mask = transforms.functional.resize( + padding_mask, list(x_B_C_T_H_W.shape[-2:]), interpolation=transforms.InterpolationMode.NEAREST + ) + else: + padding_mask = torch.zeros((x_B_C_T_H_W.shape[0], 1, x_B_C_T_H_W.shape[-2], x_B_C_T_H_W.shape[-1]), dtype=x_B_C_T_H_W.dtype, device=x_B_C_T_H_W.device) + + x_B_C_T_H_W = torch.cat( + [x_B_C_T_H_W, padding_mask.unsqueeze(1).repeat(1, 1, x_B_C_T_H_W.shape[2], 1, 1)], dim=1 + ) + x_B_T_H_W_D = self.x_embedder(x_B_C_T_H_W) + + if self.extra_per_block_abs_pos_emb: + extra_pos_emb = self.extra_pos_embedder(x_B_T_H_W_D, fps=fps, device=x_B_C_T_H_W.device, dtype=x_B_C_T_H_W.dtype) + else: + extra_pos_emb = None + + if "rope" in self.pos_emb_cls.lower(): + return x_B_T_H_W_D, self.pos_embedder(x_B_T_H_W_D, fps=fps, device=x_B_C_T_H_W.device), extra_pos_emb + + if "fps_aware" in self.pos_emb_cls: + x_B_T_H_W_D = x_B_T_H_W_D + self.pos_embedder(x_B_T_H_W_D, fps=fps, device=x_B_C_T_H_W.device) # [B, T, H, W, D] + else: + x_B_T_H_W_D = x_B_T_H_W_D + self.pos_embedder(x_B_T_H_W_D, device=x_B_C_T_H_W.device) # [B, T, H, W, D] + + return x_B_T_H_W_D, None, extra_pos_emb + + def decoder_head( + self, + x_B_T_H_W_D: torch.Tensor, + emb_B_D: torch.Tensor, + crossattn_emb: torch.Tensor, + origin_shape: Tuple[int, int, int, int, int], # [B, C, T, H, W] + crossattn_mask: Optional[torch.Tensor] = None, + adaln_lora_B_3D: Optional[torch.Tensor] = None, + ) -> torch.Tensor: + del crossattn_emb, crossattn_mask + B, C, T_before_patchify, H_before_patchify, W_before_patchify = origin_shape + x_BT_HW_D = rearrange(x_B_T_H_W_D, "B T H W D -> (B T) (H W) D") + x_BT_HW_D = self.final_layer(x_BT_HW_D, emb_B_D, adaln_lora_B_3D=adaln_lora_B_3D) + # This is to ensure x_BT_HW_D has the correct shape because + # when we merge T, H, W into one dimension, x_BT_HW_D has shape (B * T * H * W, 1*1, D). + x_BT_HW_D = x_BT_HW_D.view( + B * T_before_patchify // self.patch_temporal, + H_before_patchify // self.patch_spatial * W_before_patchify // self.patch_spatial, + -1, + ) + x_B_D_T_H_W = rearrange( + x_BT_HW_D, + "(B T) (H W) (p1 p2 t C) -> B C (T t) (H p1) (W p2)", + p1=self.patch_spatial, + p2=self.patch_spatial, + H=H_before_patchify // self.patch_spatial, + W=W_before_patchify // self.patch_spatial, + t=self.patch_temporal, + B=B, + ) + return x_B_D_T_H_W + + def forward_before_blocks( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + crossattn_emb: torch.Tensor, + crossattn_mask: Optional[torch.Tensor] = None, + fps: Optional[torch.Tensor] = None, + image_size: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + scalar_feature: Optional[torch.Tensor] = None, + data_type: Optional[DataType] = DataType.VIDEO, + latent_condition: Optional[torch.Tensor] = None, + latent_condition_sigma: Optional[torch.Tensor] = None, + **kwargs, + ) -> torch.Tensor: + """ + Args: + x: (B, C, T, H, W) tensor of spatial-temp inputs + timesteps: (B, ) tensor of timesteps + crossattn_emb: (B, N, D) tensor of cross-attention embeddings + crossattn_mask: (B, N) tensor of cross-attention masks + """ + del kwargs + assert isinstance( + data_type, DataType + ), f"Expected DataType, got {type(data_type)}. We need discuss this flag later." + original_shape = x.shape + x_B_T_H_W_D, rope_emb_L_1_1_D, extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D = self.prepare_embedded_sequence( + x, + fps=fps, + padding_mask=padding_mask, + latent_condition=latent_condition, + latent_condition_sigma=latent_condition_sigma, + ) + # logging affline scale information + affline_scale_log_info = {} + + timesteps_B_D, adaln_lora_B_3D = self.t_embedder[1](self.t_embedder[0](timesteps.flatten()).to(x.dtype)) + affline_emb_B_D = timesteps_B_D + affline_scale_log_info["timesteps_B_D"] = timesteps_B_D.detach() + + if scalar_feature is not None: + raise NotImplementedError("Scalar feature is not implemented yet.") + + affline_scale_log_info["affline_emb_B_D"] = affline_emb_B_D.detach() + affline_emb_B_D = self.affline_norm(affline_emb_B_D) + + if self.use_cross_attn_mask: + if crossattn_mask is not None and not torch.is_floating_point(crossattn_mask): + crossattn_mask = (crossattn_mask - 1).to(x.dtype) * torch.finfo(x.dtype).max + crossattn_mask = crossattn_mask[:, None, None, :] # .to(dtype=torch.bool) # [B, 1, 1, length] + else: + crossattn_mask = None + + if self.blocks["block0"].x_format == "THWBD": + x = rearrange(x_B_T_H_W_D, "B T H W D -> T H W B D") + if extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D is not None: + extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D = rearrange( + extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D, "B T H W D -> T H W B D" + ) + crossattn_emb = rearrange(crossattn_emb, "B M D -> M B D") + + if crossattn_mask: + crossattn_mask = rearrange(crossattn_mask, "B M -> M B") + + elif self.blocks["block0"].x_format == "BTHWD": + x = x_B_T_H_W_D + else: + raise ValueError(f"Unknown x_format {self.blocks[0].x_format}") + output = { + "x": x, + "affline_emb_B_D": affline_emb_B_D, + "crossattn_emb": crossattn_emb, + "crossattn_mask": crossattn_mask, + "rope_emb_L_1_1_D": rope_emb_L_1_1_D, + "adaln_lora_B_3D": adaln_lora_B_3D, + "original_shape": original_shape, + "extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D": extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D, + } + return output + + def forward( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + context: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + # crossattn_emb: torch.Tensor, + # crossattn_mask: Optional[torch.Tensor] = None, + fps: Optional[torch.Tensor] = None, + image_size: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + scalar_feature: Optional[torch.Tensor] = None, + data_type: Optional[DataType] = DataType.VIDEO, + latent_condition: Optional[torch.Tensor] = None, + latent_condition_sigma: Optional[torch.Tensor] = None, + condition_video_augment_sigma: Optional[torch.Tensor] = None, + **kwargs, + ): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, kwargs.get("transformer_options", {})) + ).execute(x, + timesteps, + context, + attention_mask, + fps, + image_size, + padding_mask, + scalar_feature, + data_type, + latent_condition, + latent_condition_sigma, + condition_video_augment_sigma, + **kwargs) + + def _forward( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + context: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + # crossattn_emb: torch.Tensor, + # crossattn_mask: Optional[torch.Tensor] = None, + fps: Optional[torch.Tensor] = None, + image_size: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + scalar_feature: Optional[torch.Tensor] = None, + data_type: Optional[DataType] = DataType.VIDEO, + latent_condition: Optional[torch.Tensor] = None, + latent_condition_sigma: Optional[torch.Tensor] = None, + condition_video_augment_sigma: Optional[torch.Tensor] = None, + **kwargs, + ): + """ + Args: + x: (B, C, T, H, W) tensor of spatial-temp inputs + timesteps: (B, ) tensor of timesteps + crossattn_emb: (B, N, D) tensor of cross-attention embeddings + crossattn_mask: (B, N) tensor of cross-attention masks + condition_video_augment_sigma: (B,) used in lvg(long video generation), we add noise with this sigma to + augment condition input, the lvg model will condition on the condition_video_augment_sigma value; + we need forward_before_blocks pass to the forward_before_blocks function. + """ + + crossattn_emb = context + crossattn_mask = attention_mask + + inputs = self.forward_before_blocks( + x=x, + timesteps=timesteps, + crossattn_emb=crossattn_emb, + crossattn_mask=crossattn_mask, + fps=fps, + image_size=image_size, + padding_mask=padding_mask, + scalar_feature=scalar_feature, + data_type=data_type, + latent_condition=latent_condition, + latent_condition_sigma=latent_condition_sigma, + condition_video_augment_sigma=condition_video_augment_sigma, + **kwargs, + ) + x, affline_emb_B_D, crossattn_emb, crossattn_mask, rope_emb_L_1_1_D, adaln_lora_B_3D, original_shape = ( + inputs["x"], + inputs["affline_emb_B_D"], + inputs["crossattn_emb"], + inputs["crossattn_mask"], + inputs["rope_emb_L_1_1_D"], + inputs["adaln_lora_B_3D"], + inputs["original_shape"], + ) + extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D = inputs["extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D"].to(x.dtype) + del inputs + + if extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D is not None: + assert ( + x.shape == extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D.shape + ), f"{x.shape} != {extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D.shape} {original_shape}" + + transformer_options = kwargs.get("transformer_options", {}) + for _, block in self.blocks.items(): + assert ( + self.blocks["block0"].x_format == block.x_format + ), f"First block has x_format {self.blocks[0].x_format}, got {block.x_format}" + + if extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D is not None: + x += extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D + x = block( + x, + affline_emb_B_D, + crossattn_emb, + crossattn_mask, + rope_emb_L_1_1_D=rope_emb_L_1_1_D, + adaln_lora_B_3D=adaln_lora_B_3D, + transformer_options=transformer_options, + ) + + x_B_T_H_W_D = rearrange(x, "T H W B D -> B T H W D") + + x_B_D_T_H_W = self.decoder_head( + x_B_T_H_W_D=x_B_T_H_W_D, + emb_B_D=affline_emb_B_D, + crossattn_emb=None, + origin_shape=original_shape, + crossattn_mask=None, + adaln_lora_B_3D=adaln_lora_B_3D, + ) + + return x_B_D_T_H_W diff --git a/comfy/ldm/cosmos/position_embedding.py b/comfy/ldm/cosmos/position_embedding.py new file mode 100644 index 0000000000000000000000000000000000000000..c925811d4c2275699a030ef8bbcb299a65918754 --- /dev/null +++ b/comfy/ldm/cosmos/position_embedding.py @@ -0,0 +1,207 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import List, Optional + +import torch +from einops import rearrange, repeat +from torch import nn +import math + + +def normalize(x: torch.Tensor, dim: Optional[List[int]] = None, eps: float = 0) -> torch.Tensor: + """ + Normalizes the input tensor along specified dimensions such that the average square norm of elements is adjusted. + + Args: + x (torch.Tensor): The input tensor to normalize. + dim (list, optional): The dimensions over which to normalize. If None, normalizes over all dimensions except the first. + eps (float, optional): A small constant to ensure numerical stability during division. + + Returns: + torch.Tensor: The normalized tensor. + """ + if dim is None: + dim = list(range(1, x.ndim)) + norm = torch.linalg.vector_norm(x, dim=dim, keepdim=True, dtype=torch.float32) + norm = torch.add(eps, norm, alpha=math.sqrt(norm.numel() / x.numel())) + return x / norm.to(x.dtype) + + +class VideoPositionEmb(nn.Module): + def forward(self, x_B_T_H_W_C: torch.Tensor, fps=Optional[torch.Tensor], device=None, dtype=None) -> torch.Tensor: + """ + It delegates the embedding generation to generate_embeddings function. + """ + B_T_H_W_C = x_B_T_H_W_C.shape + embeddings = self.generate_embeddings(B_T_H_W_C, fps=fps, device=device, dtype=dtype) + + return embeddings + + def generate_embeddings(self, B_T_H_W_C: torch.Size, fps=Optional[torch.Tensor], device=None): + raise NotImplementedError + + +class VideoRopePosition3DEmb(VideoPositionEmb): + def __init__( + self, + *, # enforce keyword arguments + head_dim: int, + len_h: int, + len_w: int, + len_t: int, + base_fps: int = 24, + h_extrapolation_ratio: float = 1.0, + w_extrapolation_ratio: float = 1.0, + t_extrapolation_ratio: float = 1.0, + enable_fps_modulation: bool = True, + device=None, + **kwargs, # used for compatibility with other positional embeddings; unused in this class + ): + del kwargs + super().__init__() + self.base_fps = base_fps + self.max_h = len_h + self.max_w = len_w + self.enable_fps_modulation = enable_fps_modulation + + dim = head_dim + dim_h = dim // 6 * 2 + dim_w = dim_h + dim_t = dim - 2 * dim_h + assert dim == dim_h + dim_w + dim_t, f"bad dim: {dim} != {dim_h} + {dim_w} + {dim_t}" + self.register_buffer( + "dim_spatial_range", + torch.arange(0, dim_h, 2, device=device)[: (dim_h // 2)].float() / dim_h, + persistent=False, + ) + self.register_buffer( + "dim_temporal_range", + torch.arange(0, dim_t, 2, device=device)[: (dim_t // 2)].float() / dim_t, + persistent=False, + ) + + self.h_ntk_factor = h_extrapolation_ratio ** (dim_h / (dim_h - 2)) + self.w_ntk_factor = w_extrapolation_ratio ** (dim_w / (dim_w - 2)) + self.t_ntk_factor = t_extrapolation_ratio ** (dim_t / (dim_t - 2)) + + def generate_embeddings( + self, + B_T_H_W_C: torch.Size, + fps: Optional[torch.Tensor] = None, + h_ntk_factor: Optional[float] = None, + w_ntk_factor: Optional[float] = None, + t_ntk_factor: Optional[float] = None, + device=None, + dtype=None, + ): + """ + Generate embeddings for the given input size. + + Args: + B_T_H_W_C (torch.Size): Input tensor size (Batch, Time, Height, Width, Channels). + fps (Optional[torch.Tensor], optional): Frames per second. Defaults to None. + h_ntk_factor (Optional[float], optional): Height NTK factor. If None, uses self.h_ntk_factor. + w_ntk_factor (Optional[float], optional): Width NTK factor. If None, uses self.w_ntk_factor. + t_ntk_factor (Optional[float], optional): Time NTK factor. If None, uses self.t_ntk_factor. + + Returns: + Not specified in the original code snippet. + """ + h_ntk_factor = h_ntk_factor if h_ntk_factor is not None else self.h_ntk_factor + w_ntk_factor = w_ntk_factor if w_ntk_factor is not None else self.w_ntk_factor + t_ntk_factor = t_ntk_factor if t_ntk_factor is not None else self.t_ntk_factor + + h_theta = 10000.0 * h_ntk_factor + w_theta = 10000.0 * w_ntk_factor + t_theta = 10000.0 * t_ntk_factor + + h_spatial_freqs = 1.0 / (h_theta**self.dim_spatial_range.to(device=device)) + w_spatial_freqs = 1.0 / (w_theta**self.dim_spatial_range.to(device=device)) + temporal_freqs = 1.0 / (t_theta**self.dim_temporal_range.to(device=device)) + + B, T, H, W, _ = B_T_H_W_C + seq = torch.arange(max(H, W, T), dtype=torch.float, device=device) + uniform_fps = (fps is None) or isinstance(fps, (int, float)) or (fps.min() == fps.max()) + assert ( + uniform_fps or B == 1 or T == 1 + ), "For video batch, batch size should be 1 for non-uniform fps. For image batch, T should be 1" + half_emb_h = torch.outer(seq[:H].to(device=device), h_spatial_freqs) + half_emb_w = torch.outer(seq[:W].to(device=device), w_spatial_freqs) + + # apply sequence scaling in temporal dimension + if fps is None or self.enable_fps_modulation is False: # image case + half_emb_t = torch.outer(seq[:T].to(device=device), temporal_freqs) + else: + half_emb_t = torch.outer(seq[:T].to(device=device) / fps * self.base_fps, temporal_freqs) + + half_emb_h = torch.stack([torch.cos(half_emb_h), -torch.sin(half_emb_h), torch.sin(half_emb_h), torch.cos(half_emb_h)], dim=-1) + half_emb_w = torch.stack([torch.cos(half_emb_w), -torch.sin(half_emb_w), torch.sin(half_emb_w), torch.cos(half_emb_w)], dim=-1) + half_emb_t = torch.stack([torch.cos(half_emb_t), -torch.sin(half_emb_t), torch.sin(half_emb_t), torch.cos(half_emb_t)], dim=-1) + + em_T_H_W_D = torch.cat( + [ + repeat(half_emb_t, "t d x -> t h w d x", h=H, w=W), + repeat(half_emb_h, "h d x -> t h w d x", t=T, w=W), + repeat(half_emb_w, "w d x -> t h w d x", t=T, h=H), + ] + , dim=-2, + ) + + return rearrange(em_T_H_W_D, "t h w d (i j) -> (t h w) d i j", i=2, j=2).float() + + +class LearnablePosEmbAxis(VideoPositionEmb): + def __init__( + self, + *, # enforce keyword arguments + interpolation: str, + model_channels: int, + len_h: int, + len_w: int, + len_t: int, + device=None, + dtype=None, + **kwargs, + ): + """ + Args: + interpolation (str): we curretly only support "crop", ideally when we need extrapolation capacity, we should adjust frequency or other more advanced methods. they are not implemented yet. + """ + del kwargs # unused + super().__init__() + self.interpolation = interpolation + assert self.interpolation in ["crop"], f"Unknown interpolation method {self.interpolation}" + + self.pos_emb_h = nn.Parameter(torch.empty(len_h, model_channels, device=device, dtype=dtype)) + self.pos_emb_w = nn.Parameter(torch.empty(len_w, model_channels, device=device, dtype=dtype)) + self.pos_emb_t = nn.Parameter(torch.empty(len_t, model_channels, device=device, dtype=dtype)) + + def generate_embeddings(self, B_T_H_W_C: torch.Size, fps=Optional[torch.Tensor], device=None, dtype=None) -> torch.Tensor: + B, T, H, W, _ = B_T_H_W_C + if self.interpolation == "crop": + emb_h_H = self.pos_emb_h[:H].to(device=device, dtype=dtype) + emb_w_W = self.pos_emb_w[:W].to(device=device, dtype=dtype) + emb_t_T = self.pos_emb_t[:T].to(device=device, dtype=dtype) + emb = ( + repeat(emb_t_T, "t d-> b t h w d", b=B, h=H, w=W) + + repeat(emb_h_H, "h d-> b t h w d", b=B, t=T, w=W) + + repeat(emb_w_W, "w d-> b t h w d", b=B, t=T, h=H) + ) + assert list(emb.shape)[:4] == [B, T, H, W], f"bad shape: {list(emb.shape)[:4]} != {B, T, H, W}" + else: + raise ValueError(f"Unknown interpolation method {self.interpolation}") + + return normalize(emb, dim=-1, eps=1e-6) diff --git a/comfy/ldm/cosmos/predict2.py b/comfy/ldm/cosmos/predict2.py new file mode 100644 index 0000000000000000000000000000000000000000..07a4fc79ff964c44854d196a96aeea2ef3b3ad5b --- /dev/null +++ b/comfy/ldm/cosmos/predict2.py @@ -0,0 +1,886 @@ +# original code from: https://github.com/nvidia-cosmos/cosmos-predict2 + +import torch +from torch import nn +from einops import rearrange +from einops.layers.torch import Rearrange +import logging +from typing import Callable, Optional, Tuple +import math + +from .position_embedding import VideoRopePosition3DEmb, LearnablePosEmbAxis +from torchvision import transforms + +import comfy.patcher_extension +from comfy.ldm.modules.attention import optimized_attention + +def apply_rotary_pos_emb( + t: torch.Tensor, + freqs: torch.Tensor, +) -> torch.Tensor: + t_ = t.reshape(*t.shape[:-1], 2, -1).movedim(-2, -1).unsqueeze(-2).float() + t_out = freqs[..., 0] * t_[..., 0] + freqs[..., 1] * t_[..., 1] + t_out = t_out.movedim(-1, -2).reshape(*t.shape).type_as(t) + return t_out + + +# ---------------------- Feed Forward Network ----------------------- +class GPT2FeedForward(nn.Module): + def __init__(self, d_model: int, d_ff: int, device=None, dtype=None, operations=None) -> None: + super().__init__() + self.activation = nn.GELU() + self.layer1 = operations.Linear(d_model, d_ff, bias=False, device=device, dtype=dtype) + self.layer2 = operations.Linear(d_ff, d_model, bias=False, device=device, dtype=dtype) + + self._layer_id = None + self._dim = d_model + self._hidden_dim = d_ff + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.layer1(x) + + x = self.activation(x) + x = self.layer2(x) + return x + + +def torch_attention_op(q_B_S_H_D: torch.Tensor, k_B_S_H_D: torch.Tensor, v_B_S_H_D: torch.Tensor, transformer_options: Optional[dict] = {}) -> torch.Tensor: + """Computes multi-head attention using PyTorch's native implementation. + + This function provides a PyTorch backend alternative to Transformer Engine's attention operation. + It rearranges the input tensors to match PyTorch's expected format, computes scaled dot-product + attention, and rearranges the output back to the original format. + + The input tensor names use the following dimension conventions: + + - B: batch size + - S: sequence length + - H: number of attention heads + - D: head dimension + + Args: + q_B_S_H_D: Query tensor with shape (batch, seq_len, n_heads, head_dim) + k_B_S_H_D: Key tensor with shape (batch, seq_len, n_heads, head_dim) + v_B_S_H_D: Value tensor with shape (batch, seq_len, n_heads, head_dim) + + Returns: + Attention output tensor with shape (batch, seq_len, n_heads * head_dim) + """ + in_q_shape = q_B_S_H_D.shape + in_k_shape = k_B_S_H_D.shape + q_B_H_S_D = rearrange(q_B_S_H_D, "b ... h k -> b h ... k").view(in_q_shape[0], in_q_shape[-2], -1, in_q_shape[-1]) + k_B_H_S_D = rearrange(k_B_S_H_D, "b ... h v -> b h ... v").view(in_k_shape[0], in_k_shape[-2], -1, in_k_shape[-1]) + v_B_H_S_D = rearrange(v_B_S_H_D, "b ... h v -> b h ... v").view(in_k_shape[0], in_k_shape[-2], -1, in_k_shape[-1]) + return optimized_attention(q_B_H_S_D, k_B_H_S_D, v_B_H_S_D, in_q_shape[-2], skip_reshape=True, transformer_options=transformer_options) + + +class Attention(nn.Module): + """ + A flexible attention module supporting both self-attention and cross-attention mechanisms. + + This module implements a multi-head attention layer that can operate in either self-attention + or cross-attention mode. The mode is determined by whether a context dimension is provided. + The implementation uses scaled dot-product attention and supports optional bias terms and + dropout regularization. + + Args: + query_dim (int): The dimensionality of the query vectors. + context_dim (int, optional): The dimensionality of the context (key/value) vectors. + If None, the module operates in self-attention mode using query_dim. Default: None + n_heads (int, optional): Number of attention heads for multi-head attention. Default: 8 + head_dim (int, optional): The dimension of each attention head. Default: 64 + dropout (float, optional): Dropout probability applied to the output. Default: 0.0 + qkv_format (str, optional): Format specification for QKV tensors. Default: "bshd" + backend (str, optional): Backend to use for the attention operation. Default: "transformer_engine" + + Examples: + >>> # Self-attention with 512 dimensions and 8 heads + >>> self_attn = Attention(query_dim=512) + >>> x = torch.randn(32, 16, 512) # (batch_size, seq_len, dim) + >>> out = self_attn(x) # (32, 16, 512) + + >>> # Cross-attention + >>> cross_attn = Attention(query_dim=512, context_dim=256) + >>> query = torch.randn(32, 16, 512) + >>> context = torch.randn(32, 8, 256) + >>> out = cross_attn(query, context) # (32, 16, 512) + """ + + def __init__( + self, + query_dim: int, + context_dim: Optional[int] = None, + n_heads: int = 8, + head_dim: int = 64, + dropout: float = 0.0, + device=None, + dtype=None, + operations=None, + ) -> None: + super().__init__() + logging.debug( + f"Setting up {self.__class__.__name__}. Query dim is {query_dim}, context_dim is {context_dim} and using " + f"{n_heads} heads with a dimension of {head_dim}." + ) + self.is_selfattn = context_dim is None # self attention + + context_dim = query_dim if context_dim is None else context_dim + inner_dim = head_dim * n_heads + + self.n_heads = n_heads + self.head_dim = head_dim + self.query_dim = query_dim + self.context_dim = context_dim + + self.q_proj = operations.Linear(query_dim, inner_dim, bias=False, device=device, dtype=dtype) + self.q_norm = operations.RMSNorm(self.head_dim, eps=1e-6, device=device, dtype=dtype) + + self.k_proj = operations.Linear(context_dim, inner_dim, bias=False, device=device, dtype=dtype) + self.k_norm = operations.RMSNorm(self.head_dim, eps=1e-6, device=device, dtype=dtype) + + self.v_proj = operations.Linear(context_dim, inner_dim, bias=False, device=device, dtype=dtype) + self.v_norm = nn.Identity() + + self.output_proj = operations.Linear(inner_dim, query_dim, bias=False, device=device, dtype=dtype) + self.output_dropout = nn.Dropout(dropout) if dropout > 1e-4 else nn.Identity() + + self.attn_op = torch_attention_op + + self._query_dim = query_dim + self._context_dim = context_dim + self._inner_dim = inner_dim + + def compute_qkv( + self, + x: torch.Tensor, + context: Optional[torch.Tensor] = None, + rope_emb: Optional[torch.Tensor] = None, + ) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + q = self.q_proj(x) + context = x if context is None else context + k = self.k_proj(context) + v = self.v_proj(context) + q, k, v = map( + lambda t: rearrange(t, "b ... (h d) -> b ... h d", h=self.n_heads, d=self.head_dim), + (q, k, v), + ) + + def apply_norm_and_rotary_pos_emb( + q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, rope_emb: Optional[torch.Tensor] + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + q = self.q_norm(q) + k = self.k_norm(k) + v = self.v_norm(v) + if self.is_selfattn and rope_emb is not None: # only apply to self-attention! + q = apply_rotary_pos_emb(q, rope_emb) + k = apply_rotary_pos_emb(k, rope_emb) + return q, k, v + + q, k, v = apply_norm_and_rotary_pos_emb(q, k, v, rope_emb) + + return q, k, v + + def compute_attention(self, q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, transformer_options: Optional[dict] = {}) -> torch.Tensor: + result = self.attn_op(q, k, v, transformer_options=transformer_options) # [B, S, H, D] + return self.output_dropout(self.output_proj(result)) + + def forward( + self, + x: torch.Tensor, + context: Optional[torch.Tensor] = None, + rope_emb: Optional[torch.Tensor] = None, + transformer_options: Optional[dict] = {}, + ) -> torch.Tensor: + """ + Args: + x (Tensor): The query tensor of shape [B, Mq, K] + context (Optional[Tensor]): The key tensor of shape [B, Mk, K] or use x as context [self attention] if None + """ + q, k, v = self.compute_qkv(x, context, rope_emb=rope_emb) + return self.compute_attention(q, k, v, transformer_options=transformer_options) + + +class Timesteps(nn.Module): + def __init__(self, num_channels: int): + super().__init__() + self.num_channels = num_channels + + def forward(self, timesteps_B_T: torch.Tensor) -> torch.Tensor: + assert timesteps_B_T.ndim == 2, f"Expected 2D input, got {timesteps_B_T.ndim}" + timesteps = timesteps_B_T.flatten().float() + half_dim = self.num_channels // 2 + exponent = -math.log(10000) * torch.arange(half_dim, dtype=torch.float32, device=timesteps.device) + exponent = exponent / (half_dim - 0.0) + + emb = torch.exp(exponent) + emb = timesteps[:, None].float() * emb[None, :] + + sin_emb = torch.sin(emb) + cos_emb = torch.cos(emb) + emb = torch.cat([cos_emb, sin_emb], dim=-1) + + return rearrange(emb, "(b t) d -> b t d", b=timesteps_B_T.shape[0], t=timesteps_B_T.shape[1]) + + +class TimestepEmbedding(nn.Module): + def __init__(self, in_features: int, out_features: int, use_adaln_lora: bool = False, device=None, dtype=None, operations=None): + super().__init__() + logging.debug( + f"Using AdaLN LoRA Flag: {use_adaln_lora}. We enable bias if no AdaLN LoRA for backward compatibility." + ) + self.in_dim = in_features + self.out_dim = out_features + self.linear_1 = operations.Linear(in_features, out_features, bias=not use_adaln_lora, device=device, dtype=dtype) + self.activation = nn.SiLU() + self.use_adaln_lora = use_adaln_lora + if use_adaln_lora: + self.linear_2 = operations.Linear(out_features, 3 * out_features, bias=False, device=device, dtype=dtype) + else: + self.linear_2 = operations.Linear(out_features, out_features, bias=False, device=device, dtype=dtype) + + def forward(self, sample: torch.Tensor) -> Tuple[torch.Tensor, Optional[torch.Tensor]]: + emb = self.linear_1(sample) + emb = self.activation(emb) + emb = self.linear_2(emb) + + if self.use_adaln_lora: + adaln_lora_B_T_3D = emb + emb_B_T_D = sample + else: + adaln_lora_B_T_3D = None + emb_B_T_D = emb + + return emb_B_T_D, adaln_lora_B_T_3D + + +class PatchEmbed(nn.Module): + """ + PatchEmbed is a module for embedding patches from an input tensor by applying either 3D or 2D convolutional layers, + depending on the . This module can process inputs with temporal (video) and spatial (image) dimensions, + making it suitable for video and image processing tasks. It supports dividing the input into patches + and embedding each patch into a vector of size `out_channels`. + + Parameters: + - spatial_patch_size (int): The size of each spatial patch. + - temporal_patch_size (int): The size of each temporal patch. + - in_channels (int): Number of input channels. Default: 3. + - out_channels (int): The dimension of the embedding vector for each patch. Default: 768. + - bias (bool): If True, adds a learnable bias to the output of the convolutional layers. Default: True. + """ + + def __init__( + self, + spatial_patch_size: int, + temporal_patch_size: int, + in_channels: int = 3, + out_channels: int = 768, + device=None, dtype=None, operations=None + ): + super().__init__() + self.spatial_patch_size = spatial_patch_size + self.temporal_patch_size = temporal_patch_size + + self.proj = nn.Sequential( + Rearrange( + "b c (t r) (h m) (w n) -> b t h w (c r m n)", + r=temporal_patch_size, + m=spatial_patch_size, + n=spatial_patch_size, + ), + operations.Linear( + in_channels * spatial_patch_size * spatial_patch_size * temporal_patch_size, out_channels, bias=False, device=device, dtype=dtype + ), + ) + self.dim = in_channels * spatial_patch_size * spatial_patch_size * temporal_patch_size + + def forward(self, x: torch.Tensor) -> torch.Tensor: + """ + Forward pass of the PatchEmbed module. + + Parameters: + - x (torch.Tensor): The input tensor of shape (B, C, T, H, W) where + B is the batch size, + C is the number of channels, + T is the temporal dimension, + H is the height, and + W is the width of the input. + + Returns: + - torch.Tensor: The embedded patches as a tensor, with shape b t h w c. + """ + assert x.dim() == 5 + _, _, T, H, W = x.shape + assert ( + H % self.spatial_patch_size == 0 and W % self.spatial_patch_size == 0 + ), f"H,W {(H, W)} should be divisible by spatial_patch_size {self.spatial_patch_size}" + assert T % self.temporal_patch_size == 0 + x = self.proj(x) + return x + + +class FinalLayer(nn.Module): + """ + The final layer of video DiT. + """ + + def __init__( + self, + hidden_size: int, + spatial_patch_size: int, + temporal_patch_size: int, + out_channels: int, + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + device=None, dtype=None, operations=None + ): + super().__init__() + self.layer_norm = nn.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6) + self.linear = operations.Linear( + hidden_size, spatial_patch_size * spatial_patch_size * temporal_patch_size * out_channels, bias=False, device=device, dtype=dtype + ) + self.hidden_size = hidden_size + self.n_adaln_chunks = 2 + self.use_adaln_lora = use_adaln_lora + self.adaln_lora_dim = adaln_lora_dim + if use_adaln_lora: + self.adaln_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(hidden_size, adaln_lora_dim, bias=False, device=device, dtype=dtype), + operations.Linear(adaln_lora_dim, self.n_adaln_chunks * hidden_size, bias=False, device=device, dtype=dtype), + ) + else: + self.adaln_modulation = nn.Sequential( + nn.SiLU(), operations.Linear(hidden_size, self.n_adaln_chunks * hidden_size, bias=False, device=device, dtype=dtype) + ) + + def forward( + self, + x_B_T_H_W_D: torch.Tensor, + emb_B_T_D: torch.Tensor, + adaln_lora_B_T_3D: Optional[torch.Tensor] = None, + ): + if self.use_adaln_lora: + assert adaln_lora_B_T_3D is not None + shift_B_T_D, scale_B_T_D = ( + self.adaln_modulation(emb_B_T_D) + adaln_lora_B_T_3D[:, :, : 2 * self.hidden_size] + ).chunk(2, dim=-1) + else: + shift_B_T_D, scale_B_T_D = self.adaln_modulation(emb_B_T_D).chunk(2, dim=-1) + + shift_B_T_1_1_D, scale_B_T_1_1_D = rearrange(shift_B_T_D, "b t d -> b t 1 1 d"), rearrange( + scale_B_T_D, "b t d -> b t 1 1 d" + ) + + def _fn( + _x_B_T_H_W_D: torch.Tensor, + _norm_layer: nn.Module, + _scale_B_T_1_1_D: torch.Tensor, + _shift_B_T_1_1_D: torch.Tensor, + ) -> torch.Tensor: + return _norm_layer(_x_B_T_H_W_D) * (1 + _scale_B_T_1_1_D) + _shift_B_T_1_1_D + + x_B_T_H_W_D = _fn(x_B_T_H_W_D, self.layer_norm, scale_B_T_1_1_D, shift_B_T_1_1_D) + x_B_T_H_W_O = self.linear(x_B_T_H_W_D) + return x_B_T_H_W_O + + +class Block(nn.Module): + """ + A transformer block that combines self-attention, cross-attention and MLP layers with AdaLN modulation. + Each component (self-attention, cross-attention, MLP) has its own layer normalization and AdaLN modulation. + + Parameters: + x_dim (int): Dimension of input features + context_dim (int): Dimension of context features for cross-attention + num_heads (int): Number of attention heads + mlp_ratio (float): Multiplier for MLP hidden dimension. Default: 4.0 + use_adaln_lora (bool): Whether to use AdaLN-LoRA modulation. Default: False + adaln_lora_dim (int): Hidden dimension for AdaLN-LoRA layers. Default: 256 + + The block applies the following sequence: + 1. Self-attention with AdaLN modulation + 2. Cross-attention with AdaLN modulation + 3. MLP with AdaLN modulation + + Each component uses skip connections and layer normalization. + """ + + def __init__( + self, + x_dim: int, + context_dim: int, + num_heads: int, + mlp_ratio: float = 4.0, + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + device=None, + dtype=None, + operations=None, + ): + super().__init__() + self.x_dim = x_dim + self.layer_norm_self_attn = operations.LayerNorm(x_dim, elementwise_affine=False, eps=1e-6, device=device, dtype=dtype) + self.self_attn = Attention(x_dim, None, num_heads, x_dim // num_heads, device=device, dtype=dtype, operations=operations) + + self.layer_norm_cross_attn = operations.LayerNorm(x_dim, elementwise_affine=False, eps=1e-6, device=device, dtype=dtype) + self.cross_attn = Attention( + x_dim, context_dim, num_heads, x_dim // num_heads, device=device, dtype=dtype, operations=operations + ) + + self.layer_norm_mlp = operations.LayerNorm(x_dim, elementwise_affine=False, eps=1e-6, device=device, dtype=dtype) + self.mlp = GPT2FeedForward(x_dim, int(x_dim * mlp_ratio), device=device, dtype=dtype, operations=operations) + + self.use_adaln_lora = use_adaln_lora + if self.use_adaln_lora: + self.adaln_modulation_self_attn = nn.Sequential( + nn.SiLU(), + operations.Linear(x_dim, adaln_lora_dim, bias=False, device=device, dtype=dtype), + operations.Linear(adaln_lora_dim, 3 * x_dim, bias=False, device=device, dtype=dtype), + ) + self.adaln_modulation_cross_attn = nn.Sequential( + nn.SiLU(), + operations.Linear(x_dim, adaln_lora_dim, bias=False, device=device, dtype=dtype), + operations.Linear(adaln_lora_dim, 3 * x_dim, bias=False, device=device, dtype=dtype), + ) + self.adaln_modulation_mlp = nn.Sequential( + nn.SiLU(), + operations.Linear(x_dim, adaln_lora_dim, bias=False, device=device, dtype=dtype), + operations.Linear(adaln_lora_dim, 3 * x_dim, bias=False, device=device, dtype=dtype), + ) + else: + self.adaln_modulation_self_attn = nn.Sequential(nn.SiLU(), operations.Linear(x_dim, 3 * x_dim, bias=False, device=device, dtype=dtype)) + self.adaln_modulation_cross_attn = nn.Sequential(nn.SiLU(), operations.Linear(x_dim, 3 * x_dim, bias=False, device=device, dtype=dtype)) + self.adaln_modulation_mlp = nn.Sequential(nn.SiLU(), operations.Linear(x_dim, 3 * x_dim, bias=False, device=device, dtype=dtype)) + + def forward( + self, + x_B_T_H_W_D: torch.Tensor, + emb_B_T_D: torch.Tensor, + crossattn_emb: torch.Tensor, + rope_emb_L_1_1_D: Optional[torch.Tensor] = None, + adaln_lora_B_T_3D: Optional[torch.Tensor] = None, + extra_per_block_pos_emb: Optional[torch.Tensor] = None, + transformer_options: Optional[dict] = {}, + ) -> torch.Tensor: + if extra_per_block_pos_emb is not None: + x_B_T_H_W_D = x_B_T_H_W_D + extra_per_block_pos_emb + + if self.use_adaln_lora: + shift_self_attn_B_T_D, scale_self_attn_B_T_D, gate_self_attn_B_T_D = ( + self.adaln_modulation_self_attn(emb_B_T_D) + adaln_lora_B_T_3D + ).chunk(3, dim=-1) + shift_cross_attn_B_T_D, scale_cross_attn_B_T_D, gate_cross_attn_B_T_D = ( + self.adaln_modulation_cross_attn(emb_B_T_D) + adaln_lora_B_T_3D + ).chunk(3, dim=-1) + shift_mlp_B_T_D, scale_mlp_B_T_D, gate_mlp_B_T_D = ( + self.adaln_modulation_mlp(emb_B_T_D) + adaln_lora_B_T_3D + ).chunk(3, dim=-1) + else: + shift_self_attn_B_T_D, scale_self_attn_B_T_D, gate_self_attn_B_T_D = self.adaln_modulation_self_attn( + emb_B_T_D + ).chunk(3, dim=-1) + shift_cross_attn_B_T_D, scale_cross_attn_B_T_D, gate_cross_attn_B_T_D = self.adaln_modulation_cross_attn( + emb_B_T_D + ).chunk(3, dim=-1) + shift_mlp_B_T_D, scale_mlp_B_T_D, gate_mlp_B_T_D = self.adaln_modulation_mlp(emb_B_T_D).chunk(3, dim=-1) + + # Reshape tensors from (B, T, D) to (B, T, 1, 1, D) for broadcasting + shift_self_attn_B_T_1_1_D = rearrange(shift_self_attn_B_T_D, "b t d -> b t 1 1 d") + scale_self_attn_B_T_1_1_D = rearrange(scale_self_attn_B_T_D, "b t d -> b t 1 1 d") + gate_self_attn_B_T_1_1_D = rearrange(gate_self_attn_B_T_D, "b t d -> b t 1 1 d") + + shift_cross_attn_B_T_1_1_D = rearrange(shift_cross_attn_B_T_D, "b t d -> b t 1 1 d") + scale_cross_attn_B_T_1_1_D = rearrange(scale_cross_attn_B_T_D, "b t d -> b t 1 1 d") + gate_cross_attn_B_T_1_1_D = rearrange(gate_cross_attn_B_T_D, "b t d -> b t 1 1 d") + + shift_mlp_B_T_1_1_D = rearrange(shift_mlp_B_T_D, "b t d -> b t 1 1 d") + scale_mlp_B_T_1_1_D = rearrange(scale_mlp_B_T_D, "b t d -> b t 1 1 d") + gate_mlp_B_T_1_1_D = rearrange(gate_mlp_B_T_D, "b t d -> b t 1 1 d") + + B, T, H, W, D = x_B_T_H_W_D.shape + + def _fn(_x_B_T_H_W_D, _norm_layer, _scale_B_T_1_1_D, _shift_B_T_1_1_D): + return _norm_layer(_x_B_T_H_W_D) * (1 + _scale_B_T_1_1_D) + _shift_B_T_1_1_D + + normalized_x_B_T_H_W_D = _fn( + x_B_T_H_W_D, + self.layer_norm_self_attn, + scale_self_attn_B_T_1_1_D, + shift_self_attn_B_T_1_1_D, + ) + result_B_T_H_W_D = rearrange( + self.self_attn( + # normalized_x_B_T_HW_D, + rearrange(normalized_x_B_T_H_W_D, "b t h w d -> b (t h w) d"), + None, + rope_emb=rope_emb_L_1_1_D, + transformer_options=transformer_options, + ), + "b (t h w) d -> b t h w d", + t=T, + h=H, + w=W, + ) + x_B_T_H_W_D = x_B_T_H_W_D + gate_self_attn_B_T_1_1_D * result_B_T_H_W_D + + def _x_fn( + _x_B_T_H_W_D: torch.Tensor, + layer_norm_cross_attn: Callable, + _scale_cross_attn_B_T_1_1_D: torch.Tensor, + _shift_cross_attn_B_T_1_1_D: torch.Tensor, + transformer_options: Optional[dict] = {}, + ) -> torch.Tensor: + _normalized_x_B_T_H_W_D = _fn( + _x_B_T_H_W_D, layer_norm_cross_attn, _scale_cross_attn_B_T_1_1_D, _shift_cross_attn_B_T_1_1_D + ) + _result_B_T_H_W_D = rearrange( + self.cross_attn( + rearrange(_normalized_x_B_T_H_W_D, "b t h w d -> b (t h w) d"), + crossattn_emb, + rope_emb=rope_emb_L_1_1_D, + transformer_options=transformer_options, + ), + "b (t h w) d -> b t h w d", + t=T, + h=H, + w=W, + ) + return _result_B_T_H_W_D + + result_B_T_H_W_D = _x_fn( + x_B_T_H_W_D, + self.layer_norm_cross_attn, + scale_cross_attn_B_T_1_1_D, + shift_cross_attn_B_T_1_1_D, + transformer_options=transformer_options, + ) + x_B_T_H_W_D = result_B_T_H_W_D * gate_cross_attn_B_T_1_1_D + x_B_T_H_W_D + + normalized_x_B_T_H_W_D = _fn( + x_B_T_H_W_D, + self.layer_norm_mlp, + scale_mlp_B_T_1_1_D, + shift_mlp_B_T_1_1_D, + ) + result_B_T_H_W_D = self.mlp(normalized_x_B_T_H_W_D) + x_B_T_H_W_D = x_B_T_H_W_D + gate_mlp_B_T_1_1_D * result_B_T_H_W_D + return x_B_T_H_W_D + + +class MiniTrainDIT(nn.Module): + """ + A clean impl of DIT that can load and reproduce the training results of the original DIT model in~(cosmos 1) + A general implementation of adaln-modulated VIT-like~(DiT) transformer for video processing. + + Args: + max_img_h (int): Maximum height of the input images. + max_img_w (int): Maximum width of the input images. + max_frames (int): Maximum number of frames in the video sequence. + in_channels (int): Number of input channels (e.g., RGB channels for color images). + out_channels (int): Number of output channels. + patch_spatial (tuple): Spatial resolution of patches for input processing. + patch_temporal (int): Temporal resolution of patches for input processing. + concat_padding_mask (bool): If True, includes a mask channel in the input to handle padding. + model_channels (int): Base number of channels used throughout the model. + num_blocks (int): Number of transformer blocks. + num_heads (int): Number of heads in the multi-head attention layers. + mlp_ratio (float): Expansion ratio for MLP blocks. + crossattn_emb_channels (int): Number of embedding channels for cross-attention. + pos_emb_cls (str): Type of positional embeddings. + pos_emb_learnable (bool): Whether positional embeddings are learnable. + pos_emb_interpolation (str): Method for interpolating positional embeddings. + min_fps (int): Minimum frames per second. + max_fps (int): Maximum frames per second. + use_adaln_lora (bool): Whether to use AdaLN-LoRA. + adaln_lora_dim (int): Dimension for AdaLN-LoRA. + rope_h_extrapolation_ratio (float): Height extrapolation ratio for RoPE. + rope_w_extrapolation_ratio (float): Width extrapolation ratio for RoPE. + rope_t_extrapolation_ratio (float): Temporal extrapolation ratio for RoPE. + extra_per_block_abs_pos_emb (bool): Whether to use extra per-block absolute positional embeddings. + extra_h_extrapolation_ratio (float): Height extrapolation ratio for extra embeddings. + extra_w_extrapolation_ratio (float): Width extrapolation ratio for extra embeddings. + extra_t_extrapolation_ratio (float): Temporal extrapolation ratio for extra embeddings. + """ + + def __init__( + self, + max_img_h: int, + max_img_w: int, + max_frames: int, + in_channels: int, + out_channels: int, + patch_spatial: int, # tuple, + patch_temporal: int, + concat_padding_mask: bool = True, + # attention settings + model_channels: int = 768, + num_blocks: int = 10, + num_heads: int = 16, + mlp_ratio: float = 4.0, + # cross attention settings + crossattn_emb_channels: int = 1024, + # positional embedding settings + pos_emb_cls: str = "sincos", + pos_emb_learnable: bool = False, + pos_emb_interpolation: str = "crop", + min_fps: int = 1, + max_fps: int = 30, + use_adaln_lora: bool = False, + adaln_lora_dim: int = 256, + rope_h_extrapolation_ratio: float = 1.0, + rope_w_extrapolation_ratio: float = 1.0, + rope_t_extrapolation_ratio: float = 1.0, + extra_per_block_abs_pos_emb: bool = False, + extra_h_extrapolation_ratio: float = 1.0, + extra_w_extrapolation_ratio: float = 1.0, + extra_t_extrapolation_ratio: float = 1.0, + rope_enable_fps_modulation: bool = True, + image_model=None, + device=None, + dtype=None, + operations=None, + ) -> None: + super().__init__() + self.dtype = dtype + self.max_img_h = max_img_h + self.max_img_w = max_img_w + self.max_frames = max_frames + self.in_channels = in_channels + self.out_channels = out_channels + self.patch_spatial = patch_spatial + self.patch_temporal = patch_temporal + self.num_heads = num_heads + self.num_blocks = num_blocks + self.model_channels = model_channels + self.concat_padding_mask = concat_padding_mask + # positional embedding settings + self.pos_emb_cls = pos_emb_cls + self.pos_emb_learnable = pos_emb_learnable + self.pos_emb_interpolation = pos_emb_interpolation + self.min_fps = min_fps + self.max_fps = max_fps + self.rope_h_extrapolation_ratio = rope_h_extrapolation_ratio + self.rope_w_extrapolation_ratio = rope_w_extrapolation_ratio + self.rope_t_extrapolation_ratio = rope_t_extrapolation_ratio + self.extra_per_block_abs_pos_emb = extra_per_block_abs_pos_emb + self.extra_h_extrapolation_ratio = extra_h_extrapolation_ratio + self.extra_w_extrapolation_ratio = extra_w_extrapolation_ratio + self.extra_t_extrapolation_ratio = extra_t_extrapolation_ratio + self.rope_enable_fps_modulation = rope_enable_fps_modulation + + self.build_pos_embed(device=device, dtype=dtype) + self.use_adaln_lora = use_adaln_lora + self.adaln_lora_dim = adaln_lora_dim + self.t_embedder = nn.Sequential( + Timesteps(model_channels), + TimestepEmbedding(model_channels, model_channels, use_adaln_lora=use_adaln_lora, device=device, dtype=dtype, operations=operations,), + ) + + in_channels = in_channels + 1 if concat_padding_mask else in_channels + self.x_embedder = PatchEmbed( + spatial_patch_size=patch_spatial, + temporal_patch_size=patch_temporal, + in_channels=in_channels, + out_channels=model_channels, + device=device, dtype=dtype, operations=operations, + ) + + self.blocks = nn.ModuleList( + [ + Block( + x_dim=model_channels, + context_dim=crossattn_emb_channels, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + use_adaln_lora=use_adaln_lora, + adaln_lora_dim=adaln_lora_dim, + device=device, dtype=dtype, operations=operations, + ) + for _ in range(num_blocks) + ] + ) + + self.final_layer = FinalLayer( + hidden_size=self.model_channels, + spatial_patch_size=self.patch_spatial, + temporal_patch_size=self.patch_temporal, + out_channels=self.out_channels, + use_adaln_lora=self.use_adaln_lora, + adaln_lora_dim=self.adaln_lora_dim, + device=device, dtype=dtype, operations=operations, + ) + + self.t_embedding_norm = operations.RMSNorm(model_channels, eps=1e-6, device=device, dtype=dtype) + + def build_pos_embed(self, device=None, dtype=None) -> None: + if self.pos_emb_cls == "rope3d": + cls_type = VideoRopePosition3DEmb + else: + raise ValueError(f"Unknown pos_emb_cls {self.pos_emb_cls}") + + logging.debug(f"Building positional embedding with {self.pos_emb_cls} class, impl {cls_type}") + kwargs = dict( + model_channels=self.model_channels, + len_h=self.max_img_h // self.patch_spatial, + len_w=self.max_img_w // self.patch_spatial, + len_t=self.max_frames // self.patch_temporal, + max_fps=self.max_fps, + min_fps=self.min_fps, + is_learnable=self.pos_emb_learnable, + interpolation=self.pos_emb_interpolation, + head_dim=self.model_channels // self.num_heads, + h_extrapolation_ratio=self.rope_h_extrapolation_ratio, + w_extrapolation_ratio=self.rope_w_extrapolation_ratio, + t_extrapolation_ratio=self.rope_t_extrapolation_ratio, + enable_fps_modulation=self.rope_enable_fps_modulation, + device=device, + ) + self.pos_embedder = cls_type( + **kwargs, # type: ignore + ) + + if self.extra_per_block_abs_pos_emb: + kwargs["h_extrapolation_ratio"] = self.extra_h_extrapolation_ratio + kwargs["w_extrapolation_ratio"] = self.extra_w_extrapolation_ratio + kwargs["t_extrapolation_ratio"] = self.extra_t_extrapolation_ratio + kwargs["device"] = device + kwargs["dtype"] = dtype + self.extra_pos_embedder = LearnablePosEmbAxis( + **kwargs, # type: ignore + ) + + def prepare_embedded_sequence( + self, + x_B_C_T_H_W: torch.Tensor, + fps: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[torch.Tensor]]: + """ + Prepares an embedded sequence tensor by applying positional embeddings and handling padding masks. + + Args: + x_B_C_T_H_W (torch.Tensor): video + fps (Optional[torch.Tensor]): Frames per second tensor to be used for positional embedding when required. + If None, a default value (`self.base_fps`) will be used. + padding_mask (Optional[torch.Tensor]): current it is not used + + Returns: + Tuple[torch.Tensor, Optional[torch.Tensor]]: + - A tensor of shape (B, T, H, W, D) with the embedded sequence. + - An optional positional embedding tensor, returned only if the positional embedding class + (`self.pos_emb_cls`) includes 'rope'. Otherwise, None. + + Notes: + - If `self.concat_padding_mask` is True, a padding mask channel is concatenated to the input tensor. + - The method of applying positional embeddings depends on the value of `self.pos_emb_cls`. + - If 'rope' is in `self.pos_emb_cls` (case insensitive), the positional embeddings are generated using + the `self.pos_embedder` with the shape [T, H, W]. + - If "fps_aware" is in `self.pos_emb_cls`, the positional embeddings are generated using the + `self.pos_embedder` with the fps tensor. + - Otherwise, the positional embeddings are generated without considering fps. + """ + if self.concat_padding_mask: + if padding_mask is None: + padding_mask = torch.zeros(x_B_C_T_H_W.shape[0], 1, x_B_C_T_H_W.shape[3], x_B_C_T_H_W.shape[4], dtype=x_B_C_T_H_W.dtype, device=x_B_C_T_H_W.device) + else: + padding_mask = transforms.functional.resize( + padding_mask, list(x_B_C_T_H_W.shape[-2:]), interpolation=transforms.InterpolationMode.NEAREST + ) + x_B_C_T_H_W = torch.cat( + [x_B_C_T_H_W, padding_mask.unsqueeze(1).repeat(1, 1, x_B_C_T_H_W.shape[2], 1, 1)], dim=1 + ) + x_B_T_H_W_D = self.x_embedder(x_B_C_T_H_W) + + if self.extra_per_block_abs_pos_emb: + extra_pos_emb = self.extra_pos_embedder(x_B_T_H_W_D, fps=fps, device=x_B_C_T_H_W.device, dtype=x_B_C_T_H_W.dtype) + else: + extra_pos_emb = None + + if "rope" in self.pos_emb_cls.lower(): + return x_B_T_H_W_D, self.pos_embedder(x_B_T_H_W_D, fps=fps, device=x_B_C_T_H_W.device), extra_pos_emb + x_B_T_H_W_D = x_B_T_H_W_D + self.pos_embedder(x_B_T_H_W_D, device=x_B_C_T_H_W.device) # [B, T, H, W, D] + + return x_B_T_H_W_D, None, extra_pos_emb + + def unpatchify(self, x_B_T_H_W_M: torch.Tensor) -> torch.Tensor: + x_B_C_Tt_Hp_Wp = rearrange( + x_B_T_H_W_M, + "B T H W (p1 p2 t C) -> B C (T t) (H p1) (W p2)", + p1=self.patch_spatial, + p2=self.patch_spatial, + t=self.patch_temporal, + ) + return x_B_C_Tt_Hp_Wp + + def forward(self, + x: torch.Tensor, + timesteps: torch.Tensor, + context: torch.Tensor, + fps: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + **kwargs, + ): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, kwargs.get("transformer_options", {})) + ).execute(x, timesteps, context, fps, padding_mask, **kwargs) + + def _forward( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + context: torch.Tensor, + fps: Optional[torch.Tensor] = None, + padding_mask: Optional[torch.Tensor] = None, + **kwargs, + ): + x_B_C_T_H_W = x + timesteps_B_T = timesteps + crossattn_emb = context + """ + Args: + x: (B, C, T, H, W) tensor of spatial-temp inputs + timesteps: (B, ) tensor of timesteps + crossattn_emb: (B, N, D) tensor of cross-attention embeddings + """ + x_B_T_H_W_D, rope_emb_L_1_1_D, extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D = self.prepare_embedded_sequence( + x_B_C_T_H_W, + fps=fps, + padding_mask=padding_mask, + ) + + if timesteps_B_T.ndim == 1: + timesteps_B_T = timesteps_B_T.unsqueeze(1) + t_embedding_B_T_D, adaln_lora_B_T_3D = self.t_embedder[1](self.t_embedder[0](timesteps_B_T).to(x_B_T_H_W_D.dtype)) + t_embedding_B_T_D = self.t_embedding_norm(t_embedding_B_T_D) + + # for logging purpose + affline_scale_log_info = {} + affline_scale_log_info["t_embedding_B_T_D"] = t_embedding_B_T_D.detach() + self.affline_scale_log_info = affline_scale_log_info + self.affline_emb = t_embedding_B_T_D + self.crossattn_emb = crossattn_emb + + if extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D is not None: + assert ( + x_B_T_H_W_D.shape == extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D.shape + ), f"{x_B_T_H_W_D.shape} != {extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D.shape}" + + block_kwargs = { + "rope_emb_L_1_1_D": rope_emb_L_1_1_D.unsqueeze(1).unsqueeze(0), + "adaln_lora_B_T_3D": adaln_lora_B_T_3D, + "extra_per_block_pos_emb": extra_pos_emb_B_T_H_W_D_or_T_H_W_B_D, + "transformer_options": kwargs.get("transformer_options", {}), + } + for block in self.blocks: + x_B_T_H_W_D = block( + x_B_T_H_W_D, + t_embedding_B_T_D, + crossattn_emb, + **block_kwargs, + ) + + x_B_T_H_W_O = self.final_layer(x_B_T_H_W_D, t_embedding_B_T_D, adaln_lora_B_T_3D=adaln_lora_B_T_3D) + x_B_C_Tt_Hp_Wp = self.unpatchify(x_B_T_H_W_O) + return x_B_C_Tt_Hp_Wp diff --git a/comfy/ldm/cosmos/vae.py b/comfy/ldm/cosmos/vae.py new file mode 100644 index 0000000000000000000000000000000000000000..d64f292de735258f43c07099bee03e3c871e9a26 --- /dev/null +++ b/comfy/ldm/cosmos/vae.py @@ -0,0 +1,131 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""The causal continuous video tokenizer with VAE or AE formulation for 3D data..""" + +import logging +import torch +from torch import nn +from enum import Enum +import math + +from .cosmos_tokenizer.layers3d import ( + EncoderFactorized, + DecoderFactorized, + CausalConv3d, +) + + +class IdentityDistribution(torch.nn.Module): + def __init__(self): + super().__init__() + + def forward(self, parameters): + return parameters, (torch.tensor([0.0]), torch.tensor([0.0])) + + +class GaussianDistribution(torch.nn.Module): + def __init__(self, min_logvar: float = -30.0, max_logvar: float = 20.0): + super().__init__() + self.min_logvar = min_logvar + self.max_logvar = max_logvar + + def sample(self, mean, logvar): + std = torch.exp(0.5 * logvar) + return mean + std * torch.randn_like(mean) + + def forward(self, parameters): + mean, logvar = torch.chunk(parameters, 2, dim=1) + logvar = torch.clamp(logvar, self.min_logvar, self.max_logvar) + return self.sample(mean, logvar), (mean, logvar) + + +class ContinuousFormulation(Enum): + VAE = GaussianDistribution + AE = IdentityDistribution + + +class CausalContinuousVideoTokenizer(nn.Module): + def __init__( + self, z_channels: int, z_factor: int, latent_channels: int, **kwargs + ) -> None: + super().__init__() + self.name = kwargs.get("name", "CausalContinuousVideoTokenizer") + self.latent_channels = latent_channels + self.sigma_data = 0.5 + + # encoder_name = kwargs.get("encoder", Encoder3DType.BASE.name) + self.encoder = EncoderFactorized( + z_channels=z_factor * z_channels, **kwargs + ) + if kwargs.get("temporal_compression", 4) == 4: + kwargs["channels_mult"] = [2, 4] + # decoder_name = kwargs.get("decoder", Decoder3DType.BASE.name) + self.decoder = DecoderFactorized( + z_channels=z_channels, **kwargs + ) + + self.quant_conv = CausalConv3d( + z_factor * z_channels, + z_factor * latent_channels, + kernel_size=1, + padding=0, + ) + self.post_quant_conv = CausalConv3d( + latent_channels, z_channels, kernel_size=1, padding=0 + ) + + # formulation_name = kwargs.get("formulation", ContinuousFormulation.AE.name) + self.distribution = IdentityDistribution() # ContinuousFormulation[formulation_name].value() + + num_parameters = sum(param.numel() for param in self.parameters()) + logging.debug(f"model={self.name}, num_parameters={num_parameters:,}") + logging.debug( + f"z_channels={z_channels}, latent_channels={self.latent_channels}." + ) + + latent_temporal_chunk = 16 + self.latent_mean = nn.Parameter(torch.zeros([self.latent_channels * latent_temporal_chunk], dtype=torch.float32)) + self.latent_std = nn.Parameter(torch.ones([self.latent_channels * latent_temporal_chunk], dtype=torch.float32)) + + + def encode(self, x): + h = self.encoder(x) + moments = self.quant_conv(h) + z, posteriors = self.distribution(moments) + latent_ch = z.shape[1] + latent_t = z.shape[2] + in_dtype = z.dtype + mean = self.latent_mean.view(latent_ch, -1) + std = self.latent_std.view(latent_ch, -1) + + mean = mean.repeat(1, math.ceil(latent_t / mean.shape[-1]))[:, : latent_t].reshape([1, latent_ch, -1, 1, 1]).to(dtype=in_dtype, device=z.device) + std = std.repeat(1, math.ceil(latent_t / std.shape[-1]))[:, : latent_t].reshape([1, latent_ch, -1, 1, 1]).to(dtype=in_dtype, device=z.device) + return ((z - mean) / std) * self.sigma_data + + def decode(self, z): + in_dtype = z.dtype + latent_ch = z.shape[1] + latent_t = z.shape[2] + mean = self.latent_mean.view(latent_ch, -1) + std = self.latent_std.view(latent_ch, -1) + + mean = mean.repeat(1, math.ceil(latent_t / mean.shape[-1]))[:, : latent_t].reshape([1, latent_ch, -1, 1, 1]).to(dtype=in_dtype, device=z.device) + std = std.repeat(1, math.ceil(latent_t / std.shape[-1]))[:, : latent_t].reshape([1, latent_ch, -1, 1, 1]).to(dtype=in_dtype, device=z.device) + + z = z / self.sigma_data + z = z * std + mean + z = self.post_quant_conv(z) + return self.decoder(z) + diff --git a/comfy/ldm/flux/controlnet.py b/comfy/ldm/flux/controlnet.py new file mode 100644 index 0000000000000000000000000000000000000000..7dcf82bbf3e8e9a369dda0df39f37f0653514747 --- /dev/null +++ b/comfy/ldm/flux/controlnet.py @@ -0,0 +1,208 @@ +#Original code can be found on: https://github.com/XLabs-AI/x-flux/blob/main/src/flux/controlnet.py +#modified to support different types of flux controlnets + +import torch +import math +from torch import Tensor, nn +from einops import rearrange, repeat + +from .layers import (timestep_embedding) + +from .model import Flux +import comfy.ldm.common_dit + +class MistolineCondDownsamplBlock(nn.Module): + def __init__(self, dtype=None, device=None, operations=None): + super().__init__() + self.encoder = nn.Sequential( + operations.Conv2d(3, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device) + ) + + def forward(self, x): + return self.encoder(x) + +class MistolineControlnetBlock(nn.Module): + def __init__(self, hidden_size, dtype=None, device=None, operations=None): + super().__init__() + self.linear = operations.Linear(hidden_size, hidden_size, dtype=dtype, device=device) + self.act = nn.SiLU() + + def forward(self, x): + return self.act(self.linear(x)) + + +class ControlNetFlux(Flux): + def __init__(self, latent_input=False, num_union_modes=0, mistoline=False, control_latent_channels=None, image_model=None, dtype=None, device=None, operations=None, **kwargs): + super().__init__(final_layer=False, dtype=dtype, device=device, operations=operations, **kwargs) + + self.main_model_double = 19 + self.main_model_single = 38 + + self.mistoline = mistoline + # add ControlNet blocks + if self.mistoline: + control_block = lambda : MistolineControlnetBlock(self.hidden_size, dtype=dtype, device=device, operations=operations) + else: + control_block = lambda : operations.Linear(self.hidden_size, self.hidden_size, dtype=dtype, device=device) + + self.controlnet_blocks = nn.ModuleList([]) + for _ in range(self.params.depth): + self.controlnet_blocks.append(control_block()) + + self.controlnet_single_blocks = nn.ModuleList([]) + for _ in range(self.params.depth_single_blocks): + self.controlnet_single_blocks.append(control_block()) + + self.num_union_modes = num_union_modes + self.controlnet_mode_embedder = None + if self.num_union_modes > 0: + self.controlnet_mode_embedder = operations.Embedding(self.num_union_modes, self.hidden_size, dtype=dtype, device=device) + + self.gradient_checkpointing = False + self.latent_input = latent_input + if control_latent_channels is None: + control_latent_channels = self.in_channels + else: + control_latent_channels *= 2 * 2 #patch size + + self.pos_embed_input = operations.Linear(control_latent_channels, self.hidden_size, bias=True, dtype=dtype, device=device) + if not self.latent_input: + if self.mistoline: + self.input_cond_block = MistolineCondDownsamplBlock(dtype=dtype, device=device, operations=operations) + else: + self.input_hint_block = nn.Sequential( + operations.Conv2d(3, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, stride=2, dtype=dtype, device=device), + nn.SiLU(), + operations.Conv2d(16, 16, 3, padding=1, dtype=dtype, device=device) + ) + + def forward_orig( + self, + img: Tensor, + img_ids: Tensor, + controlnet_cond: Tensor, + txt: Tensor, + txt_ids: Tensor, + timesteps: Tensor, + y: Tensor, + guidance: Tensor = None, + control_type: Tensor = None, + ) -> Tensor: + if img.ndim != 3 or txt.ndim != 3: + raise ValueError("Input img and txt tensors must have 3 dimensions.") + + if y is None: + y = torch.zeros((img.shape[0], self.params.vec_in_dim), device=img.device, dtype=img.dtype) + else: + y = y[:, :self.params.vec_in_dim] + + # running on sequences img + img = self.img_in(img) + + controlnet_cond = self.pos_embed_input(controlnet_cond) + img = img + controlnet_cond + vec = self.time_in(timestep_embedding(timesteps, 256)) + if self.params.guidance_embed: + vec = vec + self.guidance_in(timestep_embedding(guidance, 256)) + vec = vec + self.vector_in(y) + txt = self.txt_in(txt) + + if self.controlnet_mode_embedder is not None and len(control_type) > 0: + control_cond = self.controlnet_mode_embedder(torch.tensor(control_type, device=img.device), out_dtype=img.dtype).unsqueeze(0).repeat((txt.shape[0], 1, 1)) + txt = torch.cat([control_cond, txt], dim=1) + txt_ids = torch.cat([txt_ids[:,:1], txt_ids], dim=1) + + ids = torch.cat((txt_ids, img_ids), dim=1) + pe = self.pe_embedder(ids) + + controlnet_double = () + + for i in range(len(self.double_blocks)): + img, txt = self.double_blocks[i](img=img, txt=txt, vec=vec, pe=pe) + controlnet_double = controlnet_double + (self.controlnet_blocks[i](img),) + + img = torch.cat((txt, img), 1) + + controlnet_single = () + + for i in range(len(self.single_blocks)): + img = self.single_blocks[i](img, vec=vec, pe=pe) + controlnet_single = controlnet_single + (self.controlnet_single_blocks[i](img[:, txt.shape[1] :, ...]),) + + repeat = math.ceil(self.main_model_double / len(controlnet_double)) + if self.latent_input: + out_input = () + for x in controlnet_double: + out_input += (x,) * repeat + else: + out_input = (controlnet_double * repeat) + + out = {"input": out_input[:self.main_model_double]} + if len(controlnet_single) > 0: + repeat = math.ceil(self.main_model_single / len(controlnet_single)) + out_output = () + if self.latent_input: + for x in controlnet_single: + out_output += (x,) * repeat + else: + out_output = (controlnet_single * repeat) + out["output"] = out_output[:self.main_model_single] + return out + + def forward(self, x, timesteps, context, y=None, guidance=None, hint=None, **kwargs): + patch_size = 2 + if self.latent_input: + hint = comfy.ldm.common_dit.pad_to_patch_size(hint, (patch_size, patch_size)) + elif self.mistoline: + hint = hint * 2.0 - 1.0 + hint = self.input_cond_block(hint) + else: + hint = hint * 2.0 - 1.0 + hint = self.input_hint_block(hint) + + hint = rearrange(hint, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=patch_size, pw=patch_size) + + bs, c, h, w = x.shape + x = comfy.ldm.common_dit.pad_to_patch_size(x, (patch_size, patch_size)) + + img = rearrange(x, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=patch_size, pw=patch_size) + + h_len = ((h + (patch_size // 2)) // patch_size) + w_len = ((w + (patch_size // 2)) // patch_size) + img_ids = torch.zeros((h_len, w_len, 3), device=x.device, dtype=x.dtype) + img_ids[..., 1] = img_ids[..., 1] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype)[:, None] + img_ids[..., 2] = img_ids[..., 2] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype)[None, :] + img_ids = repeat(img_ids, "h w c -> b (h w) c", b=bs) + + txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype) + return self.forward_orig(img, img_ids, hint, context, txt_ids, timesteps, y, guidance, control_type=kwargs.get("control_type", [])) diff --git a/comfy/ldm/flux/layers.py b/comfy/ldm/flux/layers.py new file mode 100644 index 0000000000000000000000000000000000000000..ef21b416b2508e9fb1b1e06d75e5778f49650634 --- /dev/null +++ b/comfy/ldm/flux/layers.py @@ -0,0 +1,278 @@ +import math +from dataclasses import dataclass + +import torch +from torch import Tensor, nn + +from .math import attention, rope +import comfy.ops +import comfy.ldm.common_dit + + +class EmbedND(nn.Module): + def __init__(self, dim: int, theta: int, axes_dim: list): + super().__init__() + self.dim = dim + self.theta = theta + self.axes_dim = axes_dim + + def forward(self, ids: Tensor) -> Tensor: + n_axes = ids.shape[-1] + emb = torch.cat( + [rope(ids[..., i], self.axes_dim[i], self.theta) for i in range(n_axes)], + dim=-3, + ) + + return emb.unsqueeze(1) + + +def timestep_embedding(t: Tensor, dim, max_period=10000, time_factor: float = 1000.0): + """ + Create sinusoidal timestep embeddings. + :param t: a 1-D Tensor of N indices, one per batch element. + These may be fractional. + :param dim: the dimension of the output. + :param max_period: controls the minimum frequency of the embeddings. + :return: an (N, D) Tensor of positional embeddings. + """ + t = time_factor * t + half = dim // 2 + freqs = torch.exp(-math.log(max_period) * torch.arange(start=0, end=half, dtype=torch.float32, device=t.device) / half) + + args = t[:, None].float() * freqs[None] + embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1) + if dim % 2: + embedding = torch.cat([embedding, torch.zeros_like(embedding[:, :1])], dim=-1) + if torch.is_floating_point(t): + embedding = embedding.to(t) + return embedding + +class MLPEmbedder(nn.Module): + def __init__(self, in_dim: int, hidden_dim: int, dtype=None, device=None, operations=None): + super().__init__() + self.in_layer = operations.Linear(in_dim, hidden_dim, bias=True, dtype=dtype, device=device) + self.silu = nn.SiLU() + self.out_layer = operations.Linear(hidden_dim, hidden_dim, bias=True, dtype=dtype, device=device) + + def forward(self, x: Tensor) -> Tensor: + return self.out_layer(self.silu(self.in_layer(x))) + + +class RMSNorm(torch.nn.Module): + def __init__(self, dim: int, dtype=None, device=None, operations=None): + super().__init__() + self.scale = nn.Parameter(torch.empty((dim), dtype=dtype, device=device)) + + def forward(self, x: Tensor): + return comfy.ldm.common_dit.rms_norm(x, self.scale, 1e-6) + + +class QKNorm(torch.nn.Module): + def __init__(self, dim: int, dtype=None, device=None, operations=None): + super().__init__() + self.query_norm = RMSNorm(dim, dtype=dtype, device=device, operations=operations) + self.key_norm = RMSNorm(dim, dtype=dtype, device=device, operations=operations) + + def forward(self, q: Tensor, k: Tensor, v: Tensor) -> tuple: + q = self.query_norm(q) + k = self.key_norm(k) + return q.to(v), k.to(v) + + +class SelfAttention(nn.Module): + def __init__(self, dim: int, num_heads: int = 8, qkv_bias: bool = False, dtype=None, device=None, operations=None): + super().__init__() + self.num_heads = num_heads + head_dim = dim // num_heads + + self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device) + self.norm = QKNorm(head_dim, dtype=dtype, device=device, operations=operations) + self.proj = operations.Linear(dim, dim, dtype=dtype, device=device) + + +@dataclass +class ModulationOut: + shift: Tensor + scale: Tensor + gate: Tensor + + +class Modulation(nn.Module): + def __init__(self, dim: int, double: bool, dtype=None, device=None, operations=None): + super().__init__() + self.is_double = double + self.multiplier = 6 if double else 3 + self.lin = operations.Linear(dim, self.multiplier * dim, bias=True, dtype=dtype, device=device) + + def forward(self, vec: Tensor) -> tuple: + if vec.ndim == 2: + vec = vec[:, None, :] + out = self.lin(nn.functional.silu(vec)).chunk(self.multiplier, dim=-1) + + return ( + ModulationOut(*out[:3]), + ModulationOut(*out[3:]) if self.is_double else None, + ) + + +def apply_mod(tensor, m_mult, m_add=None, modulation_dims=None): + if modulation_dims is None: + if m_add is not None: + return torch.addcmul(m_add, tensor, m_mult) + else: + return tensor * m_mult + else: + for d in modulation_dims: + tensor[:, d[0]:d[1]] *= m_mult[:, d[2]] + if m_add is not None: + tensor[:, d[0]:d[1]] += m_add[:, d[2]] + return tensor + + +class DoubleStreamBlock(nn.Module): + def __init__(self, hidden_size: int, num_heads: int, mlp_ratio: float, qkv_bias: bool = False, flipped_img_txt=False, dtype=None, device=None, operations=None): + super().__init__() + + mlp_hidden_dim = int(hidden_size * mlp_ratio) + self.num_heads = num_heads + self.hidden_size = hidden_size + self.img_mod = Modulation(hidden_size, double=True, dtype=dtype, device=device, operations=operations) + self.img_norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.img_attn = SelfAttention(dim=hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, dtype=dtype, device=device, operations=operations) + + self.img_norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.img_mlp = nn.Sequential( + operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device), + nn.GELU(approximate="tanh"), + operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device), + ) + + self.txt_mod = Modulation(hidden_size, double=True, dtype=dtype, device=device, operations=operations) + self.txt_norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.txt_attn = SelfAttention(dim=hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, dtype=dtype, device=device, operations=operations) + + self.txt_norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.txt_mlp = nn.Sequential( + operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device), + nn.GELU(approximate="tanh"), + operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device), + ) + self.flipped_img_txt = flipped_img_txt + + def forward(self, img: Tensor, txt: Tensor, vec: Tensor, pe: Tensor, attn_mask=None, modulation_dims_img=None, modulation_dims_txt=None, transformer_options={}): + img_mod1, img_mod2 = self.img_mod(vec) + txt_mod1, txt_mod2 = self.txt_mod(vec) + + # prepare image for attention + img_modulated = self.img_norm1(img) + img_modulated = apply_mod(img_modulated, (1 + img_mod1.scale), img_mod1.shift, modulation_dims_img) + img_qkv = self.img_attn.qkv(img_modulated) + img_q, img_k, img_v = img_qkv.view(img_qkv.shape[0], img_qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + img_q, img_k = self.img_attn.norm(img_q, img_k, img_v) + + # prepare txt for attention + txt_modulated = self.txt_norm1(txt) + txt_modulated = apply_mod(txt_modulated, (1 + txt_mod1.scale), txt_mod1.shift, modulation_dims_txt) + txt_qkv = self.txt_attn.qkv(txt_modulated) + txt_q, txt_k, txt_v = txt_qkv.view(txt_qkv.shape[0], txt_qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + txt_q, txt_k = self.txt_attn.norm(txt_q, txt_k, txt_v) + + if self.flipped_img_txt: + # run actual attention + attn = attention(torch.cat((img_q, txt_q), dim=2), + torch.cat((img_k, txt_k), dim=2), + torch.cat((img_v, txt_v), dim=2), + pe=pe, mask=attn_mask, transformer_options=transformer_options) + + img_attn, txt_attn = attn[:, : img.shape[1]], attn[:, img.shape[1]:] + else: + # run actual attention + attn = attention(torch.cat((txt_q, img_q), dim=2), + torch.cat((txt_k, img_k), dim=2), + torch.cat((txt_v, img_v), dim=2), + pe=pe, mask=attn_mask, transformer_options=transformer_options) + + txt_attn, img_attn = attn[:, : txt.shape[1]], attn[:, txt.shape[1]:] + + # calculate the img bloks + img = img + apply_mod(self.img_attn.proj(img_attn), img_mod1.gate, None, modulation_dims_img) + img = img + apply_mod(self.img_mlp(apply_mod(self.img_norm2(img), (1 + img_mod2.scale), img_mod2.shift, modulation_dims_img)), img_mod2.gate, None, modulation_dims_img) + + # calculate the txt bloks + txt += apply_mod(self.txt_attn.proj(txt_attn), txt_mod1.gate, None, modulation_dims_txt) + txt += apply_mod(self.txt_mlp(apply_mod(self.txt_norm2(txt), (1 + txt_mod2.scale), txt_mod2.shift, modulation_dims_txt)), txt_mod2.gate, None, modulation_dims_txt) + + if txt.dtype == torch.float16: + txt = torch.nan_to_num(txt, nan=0.0, posinf=65504, neginf=-65504) + + return img, txt + + +class SingleStreamBlock(nn.Module): + """ + A DiT block with parallel linear layers as described in + https://arxiv.org/abs/2302.05442 and adapted modulation interface. + """ + + def __init__( + self, + hidden_size: int, + num_heads: int, + mlp_ratio: float = 4.0, + qk_scale: float = None, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.hidden_dim = hidden_size + self.num_heads = num_heads + head_dim = hidden_size // num_heads + self.scale = qk_scale or head_dim**-0.5 + + self.mlp_hidden_dim = int(hidden_size * mlp_ratio) + # qkv and mlp_in + self.linear1 = operations.Linear(hidden_size, hidden_size * 3 + self.mlp_hidden_dim, dtype=dtype, device=device) + # proj and mlp_out + self.linear2 = operations.Linear(hidden_size + self.mlp_hidden_dim, hidden_size, dtype=dtype, device=device) + + self.norm = QKNorm(head_dim, dtype=dtype, device=device, operations=operations) + + self.hidden_size = hidden_size + self.pre_norm = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + + self.mlp_act = nn.GELU(approximate="tanh") + self.modulation = Modulation(hidden_size, double=False, dtype=dtype, device=device, operations=operations) + + def forward(self, x: Tensor, vec: Tensor, pe: Tensor, attn_mask=None, modulation_dims=None, transformer_options={}) -> Tensor: + mod, _ = self.modulation(vec) + qkv, mlp = torch.split(self.linear1(apply_mod(self.pre_norm(x), (1 + mod.scale), mod.shift, modulation_dims)), [3 * self.hidden_size, self.mlp_hidden_dim], dim=-1) + + q, k, v = qkv.view(qkv.shape[0], qkv.shape[1], 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + q, k = self.norm(q, k, v) + + # compute attention + attn = attention(q, k, v, pe=pe, mask=attn_mask, transformer_options=transformer_options) + # compute activation in mlp stream, cat again and run second linear layer + output = self.linear2(torch.cat((attn, self.mlp_act(mlp)), 2)) + x += apply_mod(output, mod.gate, None, modulation_dims) + if x.dtype == torch.float16: + x = torch.nan_to_num(x, nan=0.0, posinf=65504, neginf=-65504) + return x + + +class LastLayer(nn.Module): + def __init__(self, hidden_size: int, patch_size: int, out_channels: int, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device) + self.adaLN_modulation = nn.Sequential(nn.SiLU(), operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device)) + + def forward(self, x: Tensor, vec: Tensor, modulation_dims=None) -> Tensor: + if vec.ndim == 2: + vec = vec[:, None, :] + + shift, scale = self.adaLN_modulation(vec).chunk(2, dim=-1) + x = apply_mod(self.norm_final(x), (1 + scale), shift, modulation_dims) + x = self.linear(x) + return x diff --git a/comfy/ldm/flux/math.py b/comfy/ldm/flux/math.py new file mode 100644 index 0000000000000000000000000000000000000000..4d743cda264dabdcb1fa139cb85d5272019b8f1e --- /dev/null +++ b/comfy/ldm/flux/math.py @@ -0,0 +1,45 @@ +import torch +from einops import rearrange +from torch import Tensor + +from comfy.ldm.modules.attention import optimized_attention +import comfy.model_management + + +def attention(q: Tensor, k: Tensor, v: Tensor, pe: Tensor, mask=None, transformer_options={}) -> Tensor: + q_shape = q.shape + k_shape = k.shape + + if pe is not None: + q = q.to(dtype=pe.dtype).reshape(*q.shape[:-1], -1, 1, 2) + k = k.to(dtype=pe.dtype).reshape(*k.shape[:-1], -1, 1, 2) + q = (pe[..., 0] * q[..., 0] + pe[..., 1] * q[..., 1]).reshape(*q_shape).type_as(v) + k = (pe[..., 0] * k[..., 0] + pe[..., 1] * k[..., 1]).reshape(*k_shape).type_as(v) + + heads = q.shape[1] + x = optimized_attention(q, k, v, heads, skip_reshape=True, mask=mask, transformer_options=transformer_options) + return x + + +def rope(pos: Tensor, dim: int, theta: int) -> Tensor: + assert dim % 2 == 0 + if comfy.model_management.is_device_mps(pos.device) or comfy.model_management.is_intel_xpu() or comfy.model_management.is_directml_enabled(): + device = torch.device("cpu") + else: + device = pos.device + + scale = torch.linspace(0, (dim - 2) / dim, steps=dim//2, dtype=torch.float64, device=device) + omega = 1.0 / (theta**scale) + out = torch.einsum("...n,d->...nd", pos.to(dtype=torch.float32, device=device), omega) + out = torch.stack([torch.cos(out), -torch.sin(out), torch.sin(out), torch.cos(out)], dim=-1) + out = rearrange(out, "b n d (i j) -> b n d i j", i=2, j=2) + return out.to(dtype=torch.float32, device=pos.device) + + +def apply_rope(xq: Tensor, xk: Tensor, freqs_cis: Tensor): + xq_ = xq.to(dtype=freqs_cis.dtype).reshape(*xq.shape[:-1], -1, 1, 2) + xk_ = xk.to(dtype=freqs_cis.dtype).reshape(*xk.shape[:-1], -1, 1, 2) + xq_out = freqs_cis[..., 0] * xq_[..., 0] + freqs_cis[..., 1] * xq_[..., 1] + xk_out = freqs_cis[..., 0] * xk_[..., 0] + freqs_cis[..., 1] * xk_[..., 1] + return xq_out.reshape(*xq.shape).type_as(xq), xk_out.reshape(*xk.shape).type_as(xk) + diff --git a/comfy/ldm/flux/model.py b/comfy/ldm/flux/model.py new file mode 100644 index 0000000000000000000000000000000000000000..14f90cea55e65013595fa96551ff903ac7f18bbb --- /dev/null +++ b/comfy/ldm/flux/model.py @@ -0,0 +1,280 @@ +#Original code can be found on: https://github.com/black-forest-labs/flux + +from dataclasses import dataclass + +import torch +from torch import Tensor, nn +from einops import rearrange, repeat +import comfy.ldm.common_dit +import comfy.patcher_extension + +from .layers import ( + DoubleStreamBlock, + EmbedND, + LastLayer, + MLPEmbedder, + SingleStreamBlock, + timestep_embedding, +) + +@dataclass +class FluxParams: + in_channels: int + out_channels: int + vec_in_dim: int + context_in_dim: int + hidden_size: int + mlp_ratio: float + num_heads: int + depth: int + depth_single_blocks: int + axes_dim: list + theta: int + patch_size: int + qkv_bias: bool + guidance_embed: bool + + +class Flux(nn.Module): + """ + Transformer model for flow matching on sequences. + """ + + def __init__(self, image_model=None, final_layer=True, dtype=None, device=None, operations=None, **kwargs): + super().__init__() + self.dtype = dtype + params = FluxParams(**kwargs) + self.params = params + self.patch_size = params.patch_size + self.in_channels = params.in_channels * params.patch_size * params.patch_size + self.out_channels = params.out_channels * params.patch_size * params.patch_size + if params.hidden_size % params.num_heads != 0: + raise ValueError( + f"Hidden size {params.hidden_size} must be divisible by num_heads {params.num_heads}" + ) + pe_dim = params.hidden_size // params.num_heads + if sum(params.axes_dim) != pe_dim: + raise ValueError(f"Got {params.axes_dim} but expected positional dim {pe_dim}") + self.hidden_size = params.hidden_size + self.num_heads = params.num_heads + self.pe_embedder = EmbedND(dim=pe_dim, theta=params.theta, axes_dim=params.axes_dim) + self.img_in = operations.Linear(self.in_channels, self.hidden_size, bias=True, dtype=dtype, device=device) + self.time_in = MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations) + self.vector_in = MLPEmbedder(params.vec_in_dim, self.hidden_size, dtype=dtype, device=device, operations=operations) + self.guidance_in = ( + MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations) if params.guidance_embed else nn.Identity() + ) + self.txt_in = operations.Linear(params.context_in_dim, self.hidden_size, dtype=dtype, device=device) + + self.double_blocks = nn.ModuleList( + [ + DoubleStreamBlock( + self.hidden_size, + self.num_heads, + mlp_ratio=params.mlp_ratio, + qkv_bias=params.qkv_bias, + dtype=dtype, device=device, operations=operations + ) + for _ in range(params.depth) + ] + ) + + self.single_blocks = nn.ModuleList( + [ + SingleStreamBlock(self.hidden_size, self.num_heads, mlp_ratio=params.mlp_ratio, dtype=dtype, device=device, operations=operations) + for _ in range(params.depth_single_blocks) + ] + ) + + if final_layer: + self.final_layer = LastLayer(self.hidden_size, 1, self.out_channels, dtype=dtype, device=device, operations=operations) + + def forward_orig( + self, + img: Tensor, + img_ids: Tensor, + txt: Tensor, + txt_ids: Tensor, + timesteps: Tensor, + y: Tensor, + guidance: Tensor = None, + control = None, + transformer_options={}, + attn_mask: Tensor = None, + ) -> Tensor: + + if y is None: + y = torch.zeros((img.shape[0], self.params.vec_in_dim), device=img.device, dtype=img.dtype) + + patches = transformer_options.get("patches", {}) + patches_replace = transformer_options.get("patches_replace", {}) + if img.ndim != 3 or txt.ndim != 3: + raise ValueError("Input img and txt tensors must have 3 dimensions.") + + # running on sequences img + img = self.img_in(img) + vec = self.time_in(timestep_embedding(timesteps, 256).to(img.dtype)) + if self.params.guidance_embed: + if guidance is not None: + vec = vec + self.guidance_in(timestep_embedding(guidance, 256).to(img.dtype)) + + vec = vec + self.vector_in(y[:, :self.params.vec_in_dim]) + txt = self.txt_in(txt) + + if "post_input" in patches: + for p in patches["post_input"]: + out = p({"img": img, "txt": txt, "img_ids": img_ids, "txt_ids": txt_ids}) + img = out["img"] + txt = out["txt"] + img_ids = out["img_ids"] + txt_ids = out["txt_ids"] + + if img_ids is not None: + ids = torch.cat((txt_ids, img_ids), dim=1) + pe = self.pe_embedder(ids) + else: + pe = None + + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.double_blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"], out["txt"] = block(img=args["img"], + txt=args["txt"], + vec=args["vec"], + pe=args["pe"], + attn_mask=args.get("attn_mask"), + transformer_options=args.get("transformer_options")) + return out + + out = blocks_replace[("double_block", i)]({"img": img, + "txt": txt, + "vec": vec, + "pe": pe, + "attn_mask": attn_mask, + "transformer_options": transformer_options}, + {"original_block": block_wrap}) + txt = out["txt"] + img = out["img"] + else: + img, txt = block(img=img, + txt=txt, + vec=vec, + pe=pe, + attn_mask=attn_mask, + transformer_options=transformer_options) + + if control is not None: # Controlnet + control_i = control.get("input") + if i < len(control_i): + add = control_i[i] + if add is not None: + img[:, :add.shape[1]] += add + + if img.dtype == torch.float16: + img = torch.nan_to_num(img, nan=0.0, posinf=65504, neginf=-65504) + + img = torch.cat((txt, img), 1) + + for i, block in enumerate(self.single_blocks): + if ("single_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], + vec=args["vec"], + pe=args["pe"], + attn_mask=args.get("attn_mask"), + transformer_options=args.get("transformer_options")) + return out + + out = blocks_replace[("single_block", i)]({"img": img, + "vec": vec, + "pe": pe, + "attn_mask": attn_mask, + "transformer_options": transformer_options}, + {"original_block": block_wrap}) + img = out["img"] + else: + img = block(img, vec=vec, pe=pe, attn_mask=attn_mask, transformer_options=transformer_options) + + if control is not None: # Controlnet + control_o = control.get("output") + if i < len(control_o): + add = control_o[i] + if add is not None: + img[:, txt.shape[1] : txt.shape[1] + add.shape[1], ...] += add + + img = img[:, txt.shape[1] :, ...] + + img = self.final_layer(img, vec) # (N, T, patch_size ** 2 * out_channels) + return img + + def process_img(self, x, index=0, h_offset=0, w_offset=0): + bs, c, h, w = x.shape + patch_size = self.patch_size + x = comfy.ldm.common_dit.pad_to_patch_size(x, (patch_size, patch_size)) + + img = rearrange(x, "b c (h ph) (w pw) -> b (h w) (c ph pw)", ph=patch_size, pw=patch_size) + h_len = ((h + (patch_size // 2)) // patch_size) + w_len = ((w + (patch_size // 2)) // patch_size) + + h_offset = ((h_offset + (patch_size // 2)) // patch_size) + w_offset = ((w_offset + (patch_size // 2)) // patch_size) + + img_ids = torch.zeros((h_len, w_len, 3), device=x.device, dtype=x.dtype) + img_ids[:, :, 0] = img_ids[:, :, 1] + index + img_ids[:, :, 1] = img_ids[:, :, 1] + torch.linspace(h_offset, h_len - 1 + h_offset, steps=h_len, device=x.device, dtype=x.dtype).unsqueeze(1) + img_ids[:, :, 2] = img_ids[:, :, 2] + torch.linspace(w_offset, w_len - 1 + w_offset, steps=w_len, device=x.device, dtype=x.dtype).unsqueeze(0) + return img, repeat(img_ids, "h w c -> b (h w) c", b=bs) + + def forward(self, x, timestep, context, y=None, guidance=None, ref_latents=None, control=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, y, guidance, ref_latents, control, transformer_options, **kwargs) + + def _forward(self, x, timestep, context, y=None, guidance=None, ref_latents=None, control=None, transformer_options={}, **kwargs): + bs, c, h_orig, w_orig = x.shape + patch_size = self.patch_size + + h_len = ((h_orig + (patch_size // 2)) // patch_size) + w_len = ((w_orig + (patch_size // 2)) // patch_size) + img, img_ids = self.process_img(x) + img_tokens = img.shape[1] + if ref_latents is not None: + h = 0 + w = 0 + index = 0 + ref_latents_method = kwargs.get("ref_latents_method", "offset") + for ref in ref_latents: + if ref_latents_method == "index": + index += 1 + h_offset = 0 + w_offset = 0 + elif ref_latents_method == "uxo": + index = 0 + h_offset = h_len * patch_size + h + w_offset = w_len * patch_size + w + h += ref.shape[-2] + w += ref.shape[-1] + else: + index = 1 + h_offset = 0 + w_offset = 0 + if ref.shape[-2] + h > ref.shape[-1] + w: + w_offset = w + else: + h_offset = h + h = max(h, ref.shape[-2] + h_offset) + w = max(w, ref.shape[-1] + w_offset) + + kontext, kontext_ids = self.process_img(ref, index=index, h_offset=h_offset, w_offset=w_offset) + img = torch.cat([img, kontext], dim=1) + img_ids = torch.cat([img_ids, kontext_ids], dim=1) + + txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype) + out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) + out = out[:, :img_tokens] + return rearrange(out, "b (h w) (c ph pw) -> b c (h ph) (w pw)", h=h_len, w=w_len, ph=2, pw=2)[:,:,:h_orig,:w_orig] diff --git a/comfy/ldm/flux/redux.py b/comfy/ldm/flux/redux.py new file mode 100644 index 0000000000000000000000000000000000000000..527e83164ea2fd1bdf7431f3791ebede00895051 --- /dev/null +++ b/comfy/ldm/flux/redux.py @@ -0,0 +1,25 @@ +import torch +import comfy.ops + +ops = comfy.ops.manual_cast + +class ReduxImageEncoder(torch.nn.Module): + def __init__( + self, + redux_dim: int = 1152, + txt_in_features: int = 4096, + device=None, + dtype=None, + ) -> None: + super().__init__() + + self.redux_dim = redux_dim + self.device = device + self.dtype = dtype + + self.redux_up = ops.Linear(redux_dim, txt_in_features * 3, dtype=dtype) + self.redux_down = ops.Linear(txt_in_features * 3, txt_in_features, dtype=dtype) + + def forward(self, sigclip_embeds) -> torch.Tensor: + projected_x = self.redux_down(torch.nn.functional.silu(self.redux_up(sigclip_embeds))) + return projected_x diff --git a/comfy/ldm/genmo/joint_model/asymm_models_joint.py b/comfy/ldm/genmo/joint_model/asymm_models_joint.py new file mode 100644 index 0000000000000000000000000000000000000000..5c1bb4d42330bdc76a6fc415f2283871fd4f730c --- /dev/null +++ b/comfy/ldm/genmo/joint_model/asymm_models_joint.py @@ -0,0 +1,561 @@ +#original code from https://github.com/genmoai/models under apache 2.0 license +#adapted to ComfyUI + +from typing import Dict, List, Optional, Tuple + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange +# from flash_attn import flash_attn_varlen_qkvpacked_func +from comfy.ldm.modules.attention import optimized_attention + +from .layers import ( + FeedForward, + PatchEmbed, + TimestepEmbedder, +) + +from .rope_mixed import ( + compute_mixed_rotation, + create_position_matrix, +) +from .temporal_rope import apply_rotary_emb_qk_real +from .utils import ( + AttentionPool, + modulate, +) + +import comfy.ldm.common_dit +import comfy.ops + + +def modulated_rmsnorm(x, scale, eps=1e-6): + # Normalize and modulate + x_normed = comfy.ldm.common_dit.rms_norm(x, eps=eps) + x_modulated = x_normed * (1 + scale.unsqueeze(1)) + + return x_modulated + + +def residual_tanh_gated_rmsnorm(x, x_res, gate, eps=1e-6): + # Apply tanh to gate + tanh_gate = torch.tanh(gate).unsqueeze(1) + + # Normalize and apply gated scaling + x_normed = comfy.ldm.common_dit.rms_norm(x_res, eps=eps) * tanh_gate + + # Apply residual connection + output = x + x_normed + + return output + +class AsymmetricAttention(nn.Module): + def __init__( + self, + dim_x: int, + dim_y: int, + num_heads: int = 8, + qkv_bias: bool = True, + qk_norm: bool = False, + attn_drop: float = 0.0, + update_y: bool = True, + out_bias: bool = True, + attend_to_padding: bool = False, + softmax_scale: Optional[float] = None, + device: Optional[torch.device] = None, + dtype=None, + operations=None, + ): + super().__init__() + self.dim_x = dim_x + self.dim_y = dim_y + self.num_heads = num_heads + self.head_dim = dim_x // num_heads + self.attn_drop = attn_drop + self.update_y = update_y + self.attend_to_padding = attend_to_padding + self.softmax_scale = softmax_scale + if dim_x % num_heads != 0: + raise ValueError( + f"dim_x={dim_x} should be divisible by num_heads={num_heads}" + ) + + # Input layers. + self.qkv_bias = qkv_bias + self.qkv_x = operations.Linear(dim_x, 3 * dim_x, bias=qkv_bias, device=device, dtype=dtype) + # Project text features to match visual features (dim_y -> dim_x) + self.qkv_y = operations.Linear(dim_y, 3 * dim_x, bias=qkv_bias, device=device, dtype=dtype) + + # Query and key normalization for stability. + assert qk_norm + self.q_norm_x = operations.RMSNorm(self.head_dim, eps=1e-5, device=device, dtype=dtype) + self.k_norm_x = operations.RMSNorm(self.head_dim, eps=1e-5, device=device, dtype=dtype) + self.q_norm_y = operations.RMSNorm(self.head_dim, eps=1e-5, device=device, dtype=dtype) + self.k_norm_y = operations.RMSNorm(self.head_dim, eps=1e-5, device=device, dtype=dtype) + + # Output layers. y features go back down from dim_x -> dim_y. + self.proj_x = operations.Linear(dim_x, dim_x, bias=out_bias, device=device, dtype=dtype) + self.proj_y = ( + operations.Linear(dim_x, dim_y, bias=out_bias, device=device, dtype=dtype) + if update_y + else nn.Identity() + ) + + def forward( + self, + x: torch.Tensor, # (B, N, dim_x) + y: torch.Tensor, # (B, L, dim_y) + scale_x: torch.Tensor, # (B, dim_x), modulation for pre-RMSNorm. + scale_y: torch.Tensor, # (B, dim_y), modulation for pre-RMSNorm. + crop_y, + transformer_options={}, + **rope_rotation, + ) -> Tuple[torch.Tensor, torch.Tensor]: + rope_cos = rope_rotation.get("rope_cos") + rope_sin = rope_rotation.get("rope_sin") + # Pre-norm for visual features + x = modulated_rmsnorm(x, scale_x) # (B, M, dim_x) where M = N / cp_group_size + + # Process visual features + # qkv_x = self.qkv_x(x) # (B, M, 3 * dim_x) + # assert qkv_x.dtype == torch.bfloat16 + # qkv_x = all_to_all_collect_tokens( + # qkv_x, self.num_heads + # ) # (3, B, N, local_h, head_dim) + + # Process text features + y = modulated_rmsnorm(y, scale_y) # (B, L, dim_y) + q_y, k_y, v_y = self.qkv_y(y).view(y.shape[0], y.shape[1], 3, self.num_heads, -1).unbind(2) # (B, N, local_h, head_dim) + + q_y = self.q_norm_y(q_y) + k_y = self.k_norm_y(k_y) + + # Split qkv_x into q, k, v + q_x, k_x, v_x = self.qkv_x(x).view(x.shape[0], x.shape[1], 3, self.num_heads, -1).unbind(2) # (B, N, local_h, head_dim) + q_x = self.q_norm_x(q_x) + q_x = apply_rotary_emb_qk_real(q_x, rope_cos, rope_sin) + k_x = self.k_norm_x(k_x) + k_x = apply_rotary_emb_qk_real(k_x, rope_cos, rope_sin) + + q = torch.cat([q_x, q_y[:, :crop_y]], dim=1).transpose(1, 2) + k = torch.cat([k_x, k_y[:, :crop_y]], dim=1).transpose(1, 2) + v = torch.cat([v_x, v_y[:, :crop_y]], dim=1).transpose(1, 2) + + xy = optimized_attention(q, + k, + v, self.num_heads, skip_reshape=True, transformer_options=transformer_options) + + x, y = torch.tensor_split(xy, (q_x.shape[1],), dim=1) + x = self.proj_x(x) + o = torch.zeros(y.shape[0], q_y.shape[1], y.shape[-1], device=y.device, dtype=y.dtype) + o[:, :y.shape[1]] = y + + y = self.proj_y(o) + # print("ox", x) + # print("oy", y) + return x, y + + +class AsymmetricJointBlock(nn.Module): + def __init__( + self, + hidden_size_x: int, + hidden_size_y: int, + num_heads: int, + *, + mlp_ratio_x: float = 8.0, # Ratio of hidden size to d_model for MLP for visual tokens. + mlp_ratio_y: float = 4.0, # Ratio of hidden size to d_model for MLP for text tokens. + update_y: bool = True, # Whether to update text tokens in this block. + device: Optional[torch.device] = None, + dtype=None, + operations=None, + **block_kwargs, + ): + super().__init__() + self.update_y = update_y + self.hidden_size_x = hidden_size_x + self.hidden_size_y = hidden_size_y + self.mod_x = operations.Linear(hidden_size_x, 4 * hidden_size_x, device=device, dtype=dtype) + if self.update_y: + self.mod_y = operations.Linear(hidden_size_x, 4 * hidden_size_y, device=device, dtype=dtype) + else: + self.mod_y = operations.Linear(hidden_size_x, hidden_size_y, device=device, dtype=dtype) + + # Self-attention: + self.attn = AsymmetricAttention( + hidden_size_x, + hidden_size_y, + num_heads=num_heads, + update_y=update_y, + device=device, + dtype=dtype, + operations=operations, + **block_kwargs, + ) + + # MLP. + mlp_hidden_dim_x = int(hidden_size_x * mlp_ratio_x) + assert mlp_hidden_dim_x == int(1536 * 8) + self.mlp_x = FeedForward( + in_features=hidden_size_x, + hidden_size=mlp_hidden_dim_x, + multiple_of=256, + ffn_dim_multiplier=None, + device=device, + dtype=dtype, + operations=operations, + ) + + # MLP for text not needed in last block. + if self.update_y: + mlp_hidden_dim_y = int(hidden_size_y * mlp_ratio_y) + self.mlp_y = FeedForward( + in_features=hidden_size_y, + hidden_size=mlp_hidden_dim_y, + multiple_of=256, + ffn_dim_multiplier=None, + device=device, + dtype=dtype, + operations=operations, + ) + + def forward( + self, + x: torch.Tensor, + c: torch.Tensor, + y: torch.Tensor, + transformer_options={}, + **attn_kwargs, + ): + """Forward pass of a block. + + Args: + x: (B, N, dim) tensor of visual tokens + c: (B, dim) tensor of conditioned features + y: (B, L, dim) tensor of text tokens + num_frames: Number of frames in the video. N = num_frames * num_spatial_tokens + + Returns: + x: (B, N, dim) tensor of visual tokens after block + y: (B, L, dim) tensor of text tokens after block + """ + N = x.size(1) + + c = F.silu(c) + mod_x = self.mod_x(c) + scale_msa_x, gate_msa_x, scale_mlp_x, gate_mlp_x = mod_x.chunk(4, dim=1) + + mod_y = self.mod_y(c) + if self.update_y: + scale_msa_y, gate_msa_y, scale_mlp_y, gate_mlp_y = mod_y.chunk(4, dim=1) + else: + scale_msa_y = mod_y + + # Self-attention block. + x_attn, y_attn = self.attn( + x, + y, + scale_x=scale_msa_x, + scale_y=scale_msa_y, + transformer_options=transformer_options, + **attn_kwargs, + ) + + assert x_attn.size(1) == N + x = residual_tanh_gated_rmsnorm(x, x_attn, gate_msa_x) + if self.update_y: + y = residual_tanh_gated_rmsnorm(y, y_attn, gate_msa_y) + + # MLP block. + x = self.ff_block_x(x, scale_mlp_x, gate_mlp_x) + if self.update_y: + y = self.ff_block_y(y, scale_mlp_y, gate_mlp_y) + + return x, y + + def ff_block_x(self, x, scale_x, gate_x): + x_mod = modulated_rmsnorm(x, scale_x) + x_res = self.mlp_x(x_mod) + x = residual_tanh_gated_rmsnorm(x, x_res, gate_x) # Sandwich norm + return x + + def ff_block_y(self, y, scale_y, gate_y): + y_mod = modulated_rmsnorm(y, scale_y) + y_res = self.mlp_y(y_mod) + y = residual_tanh_gated_rmsnorm(y, y_res, gate_y) # Sandwich norm + return y + + +class FinalLayer(nn.Module): + """ + The final layer of DiT. + """ + + def __init__( + self, + hidden_size, + patch_size, + out_channels, + device: Optional[torch.device] = None, + dtype=None, + operations=None, + ): + super().__init__() + self.norm_final = operations.LayerNorm( + hidden_size, elementwise_affine=False, eps=1e-6, device=device, dtype=dtype + ) + self.mod = operations.Linear(hidden_size, 2 * hidden_size, device=device, dtype=dtype) + self.linear = operations.Linear( + hidden_size, patch_size * patch_size * out_channels, device=device, dtype=dtype + ) + + def forward(self, x, c): + c = F.silu(c) + shift, scale = self.mod(c).chunk(2, dim=1) + x = modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + return x + + +class AsymmDiTJoint(nn.Module): + """ + Diffusion model with a Transformer backbone. + + Ingests text embeddings instead of a label. + """ + + def __init__( + self, + *, + patch_size=2, + in_channels=4, + hidden_size_x=1152, + hidden_size_y=1152, + depth=48, + num_heads=16, + mlp_ratio_x=8.0, + mlp_ratio_y=4.0, + use_t5: bool = False, + t5_feat_dim: int = 4096, + t5_token_length: int = 256, + learn_sigma=True, + patch_embed_bias: bool = True, + timestep_mlp_bias: bool = True, + attend_to_padding: bool = False, + timestep_scale: Optional[float] = None, + use_extended_posenc: bool = False, + posenc_preserve_area: bool = False, + rope_theta: float = 10000.0, + image_model=None, + device: Optional[torch.device] = None, + dtype=None, + operations=None, + **block_kwargs, + ): + super().__init__() + + self.dtype = dtype + self.learn_sigma = learn_sigma + self.in_channels = in_channels + self.out_channels = in_channels * 2 if learn_sigma else in_channels + self.patch_size = patch_size + self.num_heads = num_heads + self.hidden_size_x = hidden_size_x + self.hidden_size_y = hidden_size_y + self.head_dim = ( + hidden_size_x // num_heads + ) # Head dimension and count is determined by visual. + self.attend_to_padding = attend_to_padding + self.use_extended_posenc = use_extended_posenc + self.posenc_preserve_area = posenc_preserve_area + self.use_t5 = use_t5 + self.t5_token_length = t5_token_length + self.t5_feat_dim = t5_feat_dim + self.rope_theta = ( + rope_theta # Scaling factor for frequency computation for temporal RoPE. + ) + + self.x_embedder = PatchEmbed( + patch_size=patch_size, + in_chans=in_channels, + embed_dim=hidden_size_x, + bias=patch_embed_bias, + dtype=dtype, + device=device, + operations=operations + ) + # Conditionings + # Timestep + self.t_embedder = TimestepEmbedder( + hidden_size_x, bias=timestep_mlp_bias, timestep_scale=timestep_scale, dtype=dtype, device=device, operations=operations + ) + + if self.use_t5: + # Caption Pooling (T5) + self.t5_y_embedder = AttentionPool( + t5_feat_dim, num_heads=8, output_dim=hidden_size_x, dtype=dtype, device=device, operations=operations + ) + + # Dense Embedding Projection (T5) + self.t5_yproj = operations.Linear( + t5_feat_dim, hidden_size_y, bias=True, dtype=dtype, device=device + ) + + # Initialize pos_frequencies as an empty parameter. + self.pos_frequencies = nn.Parameter( + torch.empty(3, self.num_heads, self.head_dim // 2, dtype=dtype, device=device) + ) + + assert not self.attend_to_padding + + # for depth 48: + # b = 0: AsymmetricJointBlock, update_y=True + # b = 1: AsymmetricJointBlock, update_y=True + # ... + # b = 46: AsymmetricJointBlock, update_y=True + # b = 47: AsymmetricJointBlock, update_y=False. No need to update text features. + blocks = [] + for b in range(depth): + # Joint multi-modal block + update_y = b < depth - 1 + block = AsymmetricJointBlock( + hidden_size_x, + hidden_size_y, + num_heads, + mlp_ratio_x=mlp_ratio_x, + mlp_ratio_y=mlp_ratio_y, + update_y=update_y, + attend_to_padding=attend_to_padding, + device=device, + dtype=dtype, + operations=operations, + **block_kwargs, + ) + + blocks.append(block) + self.blocks = nn.ModuleList(blocks) + + self.final_layer = FinalLayer( + hidden_size_x, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations + ) + + def embed_x(self, x: torch.Tensor) -> torch.Tensor: + """ + Args: + x: (B, C=12, T, H, W) tensor of visual tokens + + Returns: + x: (B, C=3072, N) tensor of visual tokens with positional embedding. + """ + return self.x_embedder(x) # Convert BcTHW to BCN + + def prepare( + self, + x: torch.Tensor, + sigma: torch.Tensor, + t5_feat: torch.Tensor, + t5_mask: torch.Tensor, + ): + """Prepare input and conditioning embeddings.""" + # Visual patch embeddings with positional encoding. + T, H, W = x.shape[-3:] + pH, pW = H // self.patch_size, W // self.patch_size + x = self.embed_x(x) # (B, N, D), where N = T * H * W / patch_size ** 2 + assert x.ndim == 3 + + pH, pW = H // self.patch_size, W // self.patch_size + N = T * pH * pW + assert x.size(1) == N + pos = create_position_matrix( + T, pH=pH, pW=pW, device=x.device, dtype=torch.float32 + ) # (N, 3) + rope_cos, rope_sin = compute_mixed_rotation( + freqs=comfy.ops.cast_to(self.pos_frequencies, dtype=x.dtype, device=x.device), pos=pos + ) # Each are (N, num_heads, dim // 2) + + c_t = self.t_embedder(1 - sigma, out_dtype=x.dtype) # (B, D) + + t5_y_pool = self.t5_y_embedder(t5_feat, t5_mask) # (B, D) + + c = c_t + t5_y_pool + + y_feat = self.t5_yproj(t5_feat) # (B, L, t5_feat_dim) --> (B, L, D) + + return x, c, y_feat, rope_cos, rope_sin + + def forward( + self, + x: torch.Tensor, + timestep: torch.Tensor, + context: List[torch.Tensor], + attention_mask: List[torch.Tensor], + num_tokens=256, + packed_indices: Dict[str, torch.Tensor] = None, + rope_cos: torch.Tensor = None, + rope_sin: torch.Tensor = None, + control=None, transformer_options={}, **kwargs + ): + patches_replace = transformer_options.get("patches_replace", {}) + y_feat = context + y_mask = attention_mask + sigma = timestep + """Forward pass of DiT. + + Args: + x: (B, C, T, H, W) tensor of spatial inputs (images or latent representations of images) + sigma: (B,) tensor of noise standard deviations + y_feat: List((B, L, y_feat_dim) tensor of caption token features. For SDXL text encoders: L=77, y_feat_dim=2048) + y_mask: List((B, L) boolean tensor indicating which tokens are not padding) + packed_indices: Dict with keys for Flash Attention. Result of compute_packed_indices. + """ + B, _, T, H, W = x.shape + + x, c, y_feat, rope_cos, rope_sin = self.prepare( + x, sigma, y_feat, y_mask + ) + del y_mask + + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"], out["txt"] = block( + args["img"], + args["vec"], + args["txt"], + rope_cos=args["rope_cos"], + rope_sin=args["rope_sin"], + crop_y=args["num_tokens"], + transformer_options=args["transformer_options"] + ) + return out + out = blocks_replace[("double_block", i)]({"img": x, "txt": y_feat, "vec": c, "rope_cos": rope_cos, "rope_sin": rope_sin, "num_tokens": num_tokens, "transformer_options": transformer_options}, {"original_block": block_wrap}) + y_feat = out["txt"] + x = out["img"] + else: + x, y_feat = block( + x, + c, + y_feat, + rope_cos=rope_cos, + rope_sin=rope_sin, + crop_y=num_tokens, + transformer_options=transformer_options, + ) # (B, M, D), (B, L, D) + del y_feat # Final layers don't use dense text features. + + x = self.final_layer(x, c) # (B, M, patch_size ** 2 * out_channels) + x = rearrange( + x, + "B (T hp wp) (p1 p2 c) -> B c T (hp p1) (wp p2)", + T=T, + hp=H // self.patch_size, + wp=W // self.patch_size, + p1=self.patch_size, + p2=self.patch_size, + c=self.out_channels, + ) + + return -x diff --git a/comfy/ldm/genmo/joint_model/layers.py b/comfy/ldm/genmo/joint_model/layers.py new file mode 100644 index 0000000000000000000000000000000000000000..e310bd717833b29e3730894370a55cd49802de93 --- /dev/null +++ b/comfy/ldm/genmo/joint_model/layers.py @@ -0,0 +1,153 @@ +#original code from https://github.com/genmoai/models under apache 2.0 license +#adapted to ComfyUI + +import collections.abc +import math +from itertools import repeat +from typing import Callable, Optional + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange +import comfy.ldm.common_dit + + +# From PyTorch internals +def _ntuple(n): + def parse(x): + if isinstance(x, collections.abc.Iterable) and not isinstance(x, str): + return tuple(x) + return tuple(repeat(x, n)) + + return parse + + +to_2tuple = _ntuple(2) + + +class TimestepEmbedder(nn.Module): + def __init__( + self, + hidden_size: int, + frequency_embedding_size: int = 256, + *, + bias: bool = True, + timestep_scale: Optional[float] = None, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.mlp = nn.Sequential( + operations.Linear(frequency_embedding_size, hidden_size, bias=bias, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(hidden_size, hidden_size, bias=bias, dtype=dtype, device=device), + ) + self.frequency_embedding_size = frequency_embedding_size + self.timestep_scale = timestep_scale + + @staticmethod + def timestep_embedding(t, dim, max_period=10000): + half = dim // 2 + freqs = torch.arange(start=0, end=half, dtype=torch.float32, device=t.device) + freqs.mul_(-math.log(max_period) / half).exp_() + args = t[:, None].float() * freqs[None] + embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1) + if dim % 2: + embedding = torch.cat( + [embedding, torch.zeros_like(embedding[:, :1])], dim=-1 + ) + return embedding + + def forward(self, t, out_dtype): + if self.timestep_scale is not None: + t = t * self.timestep_scale + t_freq = self.timestep_embedding(t, self.frequency_embedding_size).to(dtype=out_dtype) + t_emb = self.mlp(t_freq) + return t_emb + + +class FeedForward(nn.Module): + def __init__( + self, + in_features: int, + hidden_size: int, + multiple_of: int, + ffn_dim_multiplier: Optional[float], + device: Optional[torch.device] = None, + dtype=None, + operations=None, + ): + super().__init__() + # keep parameter count and computation constant compared to standard FFN + hidden_size = int(2 * hidden_size / 3) + # custom dim factor multiplier + if ffn_dim_multiplier is not None: + hidden_size = int(ffn_dim_multiplier * hidden_size) + hidden_size = multiple_of * ((hidden_size + multiple_of - 1) // multiple_of) + + self.hidden_dim = hidden_size + self.w1 = operations.Linear(in_features, 2 * hidden_size, bias=False, device=device, dtype=dtype) + self.w2 = operations.Linear(hidden_size, in_features, bias=False, device=device, dtype=dtype) + + def forward(self, x): + x, gate = self.w1(x).chunk(2, dim=-1) + x = self.w2(F.silu(x) * gate) + return x + + +class PatchEmbed(nn.Module): + def __init__( + self, + patch_size: int = 16, + in_chans: int = 3, + embed_dim: int = 768, + norm_layer: Optional[Callable] = None, + flatten: bool = True, + bias: bool = True, + dynamic_img_pad: bool = False, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.patch_size = to_2tuple(patch_size) + self.flatten = flatten + self.dynamic_img_pad = dynamic_img_pad + + self.proj = operations.Conv2d( + in_chans, + embed_dim, + kernel_size=patch_size, + stride=patch_size, + bias=bias, + device=device, + dtype=dtype, + ) + assert norm_layer is None + self.norm = ( + norm_layer(embed_dim, device=device) if norm_layer else nn.Identity() + ) + + def forward(self, x): + B, _C, T, H, W = x.shape + if not self.dynamic_img_pad: + assert H % self.patch_size[0] == 0, f"Input height ({H}) should be divisible by patch size ({self.patch_size[0]})." + assert W % self.patch_size[1] == 0, f"Input width ({W}) should be divisible by patch size ({self.patch_size[1]})." + else: + pad_h = (self.patch_size[0] - H % self.patch_size[0]) % self.patch_size[0] + pad_w = (self.patch_size[1] - W % self.patch_size[1]) % self.patch_size[1] + x = F.pad(x, (0, pad_w, 0, pad_h)) + + x = rearrange(x, "B C T H W -> (B T) C H W", B=B, T=T) + x = comfy.ldm.common_dit.pad_to_patch_size(x, self.patch_size, padding_mode='circular') + x = self.proj(x) + + # Flatten temporal and spatial dimensions. + if not self.flatten: + raise NotImplementedError("Must flatten output.") + x = rearrange(x, "(B T) C H W -> B (T H W) C", B=B, T=T) + + x = self.norm(x) + return x diff --git a/comfy/ldm/genmo/joint_model/rope_mixed.py b/comfy/ldm/genmo/joint_model/rope_mixed.py new file mode 100644 index 0000000000000000000000000000000000000000..dee3fa21f5318a610321fc9372553d618462f773 --- /dev/null +++ b/comfy/ldm/genmo/joint_model/rope_mixed.py @@ -0,0 +1,88 @@ +#original code from https://github.com/genmoai/models under apache 2.0 license + +# import functools +import math + +import torch + + +def centers(start: float, stop, num, dtype=None, device=None): + """linspace through bin centers. + + Args: + start (float): Start of the range. + stop (float): End of the range. + num (int): Number of points. + dtype (torch.dtype): Data type of the points. + device (torch.device): Device of the points. + + Returns: + centers (Tensor): Centers of the bins. Shape: (num,). + """ + edges = torch.linspace(start, stop, num + 1, dtype=dtype, device=device) + return (edges[:-1] + edges[1:]) / 2 + + +# @functools.lru_cache(maxsize=1) +def create_position_matrix( + T: int, + pH: int, + pW: int, + device: torch.device, + dtype: torch.dtype, + *, + target_area: float = 36864, +): + """ + Args: + T: int - Temporal dimension + pH: int - Height dimension after patchify + pW: int - Width dimension after patchify + + Returns: + pos: [T * pH * pW, 3] - position matrix + """ + # Create 1D tensors for each dimension + t = torch.arange(T, dtype=dtype) + + # Positionally interpolate to area 36864. + # (3072x3072 frame with 16x16 patches = 192x192 latents). + # This automatically scales rope positions when the resolution changes. + # We use a large target area so the model is more sensitive + # to changes in the learned pos_frequencies matrix. + scale = math.sqrt(target_area / (pW * pH)) + w = centers(-pW * scale / 2, pW * scale / 2, pW) + h = centers(-pH * scale / 2, pH * scale / 2, pH) + + # Use meshgrid to create 3D grids + grid_t, grid_h, grid_w = torch.meshgrid(t, h, w, indexing="ij") + + # Stack and reshape the grids. + pos = torch.stack([grid_t, grid_h, grid_w], dim=-1) # [T, pH, pW, 3] + pos = pos.view(-1, 3) # [T * pH * pW, 3] + pos = pos.to(dtype=dtype, device=device) + + return pos + + +def compute_mixed_rotation( + freqs: torch.Tensor, + pos: torch.Tensor, +): + """ + Project each 3-dim position into per-head, per-head-dim 1D frequencies. + + Args: + freqs: [3, num_heads, num_freqs] - learned rotation frequency (for t, row, col) for each head position + pos: [N, 3] - position of each token + num_heads: int + + Returns: + freqs_cos: [N, num_heads, num_freqs] - cosine components + freqs_sin: [N, num_heads, num_freqs] - sine components + """ + assert freqs.ndim == 3 + freqs_sum = torch.einsum("Nd,dhf->Nhf", pos.to(freqs), freqs) + freqs_cos = torch.cos(freqs_sum) + freqs_sin = torch.sin(freqs_sum) + return freqs_cos, freqs_sin diff --git a/comfy/ldm/genmo/joint_model/temporal_rope.py b/comfy/ldm/genmo/joint_model/temporal_rope.py new file mode 100644 index 0000000000000000000000000000000000000000..88f5d6d26151db0c8ad0a89fcf748c45d4b89bc0 --- /dev/null +++ b/comfy/ldm/genmo/joint_model/temporal_rope.py @@ -0,0 +1,34 @@ +#original code from https://github.com/genmoai/models under apache 2.0 license + +# Based on Llama3 Implementation. +import torch + + +def apply_rotary_emb_qk_real( + xqk: torch.Tensor, + freqs_cos: torch.Tensor, + freqs_sin: torch.Tensor, +) -> torch.Tensor: + """ + Apply rotary embeddings to input tensors using the given frequency tensor without complex numbers. + + Args: + xqk (torch.Tensor): Query and/or Key tensors to apply rotary embeddings. Shape: (B, S, *, num_heads, D) + Can be either just query or just key, or both stacked along some batch or * dim. + freqs_cos (torch.Tensor): Precomputed cosine frequency tensor. + freqs_sin (torch.Tensor): Precomputed sine frequency tensor. + + Returns: + torch.Tensor: The input tensor with rotary embeddings applied. + """ + # Split the last dimension into even and odd parts + xqk_even = xqk[..., 0::2] + xqk_odd = xqk[..., 1::2] + + # Apply rotation + cos_part = (xqk_even * freqs_cos - xqk_odd * freqs_sin).type_as(xqk) + sin_part = (xqk_even * freqs_sin + xqk_odd * freqs_cos).type_as(xqk) + + # Interleave the results back into the original shape + out = torch.stack([cos_part, sin_part], dim=-1).flatten(-2) + return out diff --git a/comfy/ldm/genmo/joint_model/utils.py b/comfy/ldm/genmo/joint_model/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..1b399d5d2128b7f5c7be141c3d8e7047df93b273 --- /dev/null +++ b/comfy/ldm/genmo/joint_model/utils.py @@ -0,0 +1,102 @@ +#original code from https://github.com/genmoai/models under apache 2.0 license +#adapted to ComfyUI + +from typing import Optional + +import torch +import torch.nn as nn +import torch.nn.functional as F + + +def modulate(x, shift, scale): + return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1) + + +def pool_tokens(x: torch.Tensor, mask: torch.Tensor, *, keepdim=False) -> torch.Tensor: + """ + Pool tokens in x using mask. + + NOTE: We assume x does not require gradients. + + Args: + x: (B, L, D) tensor of tokens. + mask: (B, L) boolean tensor indicating which tokens are not padding. + + Returns: + pooled: (B, D) tensor of pooled tokens. + """ + assert x.size(1) == mask.size(1) # Expected mask to have same length as tokens. + assert x.size(0) == mask.size(0) # Expected mask to have same batch size as tokens. + mask = mask[:, :, None].to(dtype=x.dtype) + mask = mask / mask.sum(dim=1, keepdim=True).clamp(min=1) + pooled = (x * mask).sum(dim=1, keepdim=keepdim) + return pooled + + +class AttentionPool(nn.Module): + def __init__( + self, + embed_dim: int, + num_heads: int, + output_dim: int = None, + device: Optional[torch.device] = None, + dtype=None, + operations=None, + ): + """ + Args: + spatial_dim (int): Number of tokens in sequence length. + embed_dim (int): Dimensionality of input tokens. + num_heads (int): Number of attention heads. + output_dim (int): Dimensionality of output tokens. Defaults to embed_dim. + """ + super().__init__() + self.num_heads = num_heads + self.to_kv = operations.Linear(embed_dim, 2 * embed_dim, device=device, dtype=dtype) + self.to_q = operations.Linear(embed_dim, embed_dim, device=device, dtype=dtype) + self.to_out = operations.Linear(embed_dim, output_dim or embed_dim, device=device, dtype=dtype) + + def forward(self, x, mask): + """ + Args: + x (torch.Tensor): (B, L, D) tensor of input tokens. + mask (torch.Tensor): (B, L) boolean tensor indicating which tokens are not padding. + + NOTE: We assume x does not require gradients. + + Returns: + x (torch.Tensor): (B, D) tensor of pooled tokens. + """ + D = x.size(2) + + # Construct attention mask, shape: (B, 1, num_queries=1, num_keys=1+L). + attn_mask = mask[:, None, None, :].bool() # (B, 1, 1, L). + attn_mask = F.pad(attn_mask, (1, 0), value=True) # (B, 1, 1, 1+L). + + # Average non-padding token features. These will be used as the query. + x_pool = pool_tokens(x, mask, keepdim=True) # (B, 1, D) + + # Concat pooled features to input sequence. + x = torch.cat([x_pool, x], dim=1) # (B, L+1, D) + + # Compute queries, keys, values. Only the mean token is used to create a query. + kv = self.to_kv(x) # (B, L+1, 2 * D) + q = self.to_q(x[:, 0]) # (B, D) + + # Extract heads. + head_dim = D // self.num_heads + kv = kv.unflatten(2, (2, self.num_heads, head_dim)) # (B, 1+L, 2, H, head_dim) + kv = kv.transpose(1, 3) # (B, H, 2, 1+L, head_dim) + k, v = kv.unbind(2) # (B, H, 1+L, head_dim) + q = q.unflatten(1, (self.num_heads, head_dim)) # (B, H, head_dim) + q = q.unsqueeze(2) # (B, H, 1, head_dim) + + # Compute attention. + x = F.scaled_dot_product_attention( + q, k, v, attn_mask=attn_mask, dropout_p=0.0 + ) # (B, H, 1, head_dim) + + # Concatenate heads and run output. + x = x.squeeze(2).flatten(1, 2) # (B, D = H * head_dim) + x = self.to_out(x) + return x diff --git a/comfy/ldm/genmo/vae/model.py b/comfy/ldm/genmo/vae/model.py new file mode 100644 index 0000000000000000000000000000000000000000..1bde0c1ed7372be184e634777b9e27b67692b1f4 --- /dev/null +++ b/comfy/ldm/genmo/vae/model.py @@ -0,0 +1,711 @@ +#original code from https://github.com/genmoai/models under apache 2.0 license +#adapted to ComfyUI + +from typing import List, Optional, Tuple, Union +from functools import partial +import math + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange + +from comfy.ldm.modules.attention import optimized_attention + +import comfy.ops +ops = comfy.ops.disable_weight_init + +# import mochi_preview.dit.joint_model.context_parallel as cp +# from mochi_preview.vae.cp_conv import cp_pass_frames, gather_all_frames + + +def cast_tuple(t, length=1): + return t if isinstance(t, tuple) else ((t,) * length) + + +class GroupNormSpatial(ops.GroupNorm): + """ + GroupNorm applied per-frame. + """ + + def forward(self, x: torch.Tensor, *, chunk_size: int = 8): + B, C, T, H, W = x.shape + x = rearrange(x, "B C T H W -> (B T) C H W") + # Run group norm in chunks. + output = torch.empty_like(x) + for b in range(0, B * T, chunk_size): + output[b : b + chunk_size] = super().forward(x[b : b + chunk_size]) + return rearrange(output, "(B T) C H W -> B C T H W", B=B, T=T) + +class PConv3d(ops.Conv3d): + def __init__( + self, + in_channels, + out_channels, + kernel_size: Union[int, Tuple[int, int, int]], + stride: Union[int, Tuple[int, int, int]], + causal: bool = True, + context_parallel: bool = True, + **kwargs, + ): + self.causal = causal + self.context_parallel = context_parallel + kernel_size = cast_tuple(kernel_size, 3) + stride = cast_tuple(stride, 3) + height_pad = (kernel_size[1] - 1) // 2 + width_pad = (kernel_size[2] - 1) // 2 + + super().__init__( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=kernel_size, + stride=stride, + dilation=(1, 1, 1), + padding=(0, height_pad, width_pad), + **kwargs, + ) + + def forward(self, x: torch.Tensor): + # Compute padding amounts. + context_size = self.kernel_size[0] - 1 + if self.causal: + pad_front = context_size + pad_back = 0 + else: + pad_front = context_size // 2 + pad_back = context_size - pad_front + + # Apply padding. + assert self.padding_mode == "replicate" # DEBUG + mode = "constant" if self.padding_mode == "zeros" else self.padding_mode + x = F.pad(x, (0, 0, 0, 0, pad_front, pad_back), mode=mode) + return super().forward(x) + + +class Conv1x1(ops.Linear): + """*1x1 Conv implemented with a linear layer.""" + + def __init__(self, in_features: int, out_features: int, *args, **kwargs): + super().__init__(in_features, out_features, *args, **kwargs) + + def forward(self, x: torch.Tensor): + """Forward pass. + + Args: + x: Input tensor. Shape: [B, C, *] or [B, *, C]. + + Returns: + x: Output tensor. Shape: [B, C', *] or [B, *, C']. + """ + x = x.movedim(1, -1) + x = super().forward(x) + x = x.movedim(-1, 1) + return x + + +class DepthToSpaceTime(nn.Module): + def __init__( + self, + temporal_expansion: int, + spatial_expansion: int, + ): + super().__init__() + self.temporal_expansion = temporal_expansion + self.spatial_expansion = spatial_expansion + + # When printed, this module should show the temporal and spatial expansion factors. + def extra_repr(self): + return f"texp={self.temporal_expansion}, sexp={self.spatial_expansion}" + + def forward(self, x: torch.Tensor): + """Forward pass. + + Args: + x: Input tensor. Shape: [B, C, T, H, W]. + + Returns: + x: Rearranged tensor. Shape: [B, C/(st*s*s), T*st, H*s, W*s]. + """ + x = rearrange( + x, + "B (C st sh sw) T H W -> B C (T st) (H sh) (W sw)", + st=self.temporal_expansion, + sh=self.spatial_expansion, + sw=self.spatial_expansion, + ) + + # cp_rank, _ = cp.get_cp_rank_size() + if self.temporal_expansion > 1: # and cp_rank == 0: + # Drop the first self.temporal_expansion - 1 frames. + # This is because we always want the 3x3x3 conv filter to only apply + # to the first frame, and the first frame doesn't need to be repeated. + assert all(x.shape) + x = x[:, :, self.temporal_expansion - 1 :] + assert all(x.shape) + + return x + + +def norm_fn( + in_channels: int, + affine: bool = True, +): + return GroupNormSpatial(affine=affine, num_groups=32, num_channels=in_channels) + + +class ResBlock(nn.Module): + """Residual block that preserves the spatial dimensions.""" + + def __init__( + self, + channels: int, + *, + affine: bool = True, + attn_block: Optional[nn.Module] = None, + causal: bool = True, + prune_bottleneck: bool = False, + padding_mode: str, + bias: bool = True, + ): + super().__init__() + self.channels = channels + + assert causal + self.stack = nn.Sequential( + norm_fn(channels, affine=affine), + nn.SiLU(inplace=True), + PConv3d( + in_channels=channels, + out_channels=channels // 2 if prune_bottleneck else channels, + kernel_size=(3, 3, 3), + stride=(1, 1, 1), + padding_mode=padding_mode, + bias=bias, + causal=causal, + ), + norm_fn(channels, affine=affine), + nn.SiLU(inplace=True), + PConv3d( + in_channels=channels // 2 if prune_bottleneck else channels, + out_channels=channels, + kernel_size=(3, 3, 3), + stride=(1, 1, 1), + padding_mode=padding_mode, + bias=bias, + causal=causal, + ), + ) + + self.attn_block = attn_block if attn_block else nn.Identity() + + def forward(self, x: torch.Tensor): + """Forward pass. + + Args: + x: Input tensor. Shape: [B, C, T, H, W]. + """ + residual = x + x = self.stack(x) + x = x + residual + del residual + + return self.attn_block(x) + + +class Attention(nn.Module): + def __init__( + self, + dim: int, + head_dim: int = 32, + qkv_bias: bool = False, + out_bias: bool = True, + qk_norm: bool = True, + ) -> None: + super().__init__() + self.head_dim = head_dim + self.num_heads = dim // head_dim + self.qk_norm = qk_norm + + self.qkv = nn.Linear(dim, 3 * dim, bias=qkv_bias) + self.out = nn.Linear(dim, dim, bias=out_bias) + + def forward( + self, + x: torch.Tensor, + ) -> torch.Tensor: + """Compute temporal self-attention. + + Args: + x: Input tensor. Shape: [B, C, T, H, W]. + chunk_size: Chunk size for large tensors. + + Returns: + x: Output tensor. Shape: [B, C, T, H, W]. + """ + B, _, T, H, W = x.shape + + if T == 1: + # No attention for single frame. + x = x.movedim(1, -1) # [B, C, T, H, W] -> [B, T, H, W, C] + qkv = self.qkv(x) + _, _, x = qkv.chunk(3, dim=-1) # Throw away queries and keys. + x = self.out(x) + return x.movedim(-1, 1) # [B, T, H, W, C] -> [B, C, T, H, W] + + # 1D temporal attention. + x = rearrange(x, "B C t h w -> (B h w) t C") + qkv = self.qkv(x) + + # Input: qkv with shape [B, t, 3 * num_heads * head_dim] + # Output: x with shape [B, num_heads, t, head_dim] + q, k, v = qkv.view(qkv.shape[0], qkv.shape[1], 3, self.num_heads, self.head_dim).transpose(1, 3).unbind(2) + + if self.qk_norm: + q = F.normalize(q, p=2, dim=-1) + k = F.normalize(k, p=2, dim=-1) + + x = optimized_attention(q, k, v, self.num_heads, skip_reshape=True) + + assert x.size(0) == q.size(0) + + x = self.out(x) + x = rearrange(x, "(B h w) t C -> B C t h w", B=B, h=H, w=W) + return x + + +class AttentionBlock(nn.Module): + def __init__( + self, + dim: int, + **attn_kwargs, + ) -> None: + super().__init__() + self.norm = norm_fn(dim) + self.attn = Attention(dim, **attn_kwargs) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + return x + self.attn(self.norm(x)) + + +class CausalUpsampleBlock(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + num_res_blocks: int, + *, + temporal_expansion: int = 2, + spatial_expansion: int = 2, + **block_kwargs, + ): + super().__init__() + + blocks = [] + for _ in range(num_res_blocks): + blocks.append(block_fn(in_channels, **block_kwargs)) + self.blocks = nn.Sequential(*blocks) + + self.temporal_expansion = temporal_expansion + self.spatial_expansion = spatial_expansion + + # Change channels in the final convolution layer. + self.proj = Conv1x1( + in_channels, + out_channels * temporal_expansion * (spatial_expansion**2), + ) + + self.d2st = DepthToSpaceTime( + temporal_expansion=temporal_expansion, spatial_expansion=spatial_expansion + ) + + def forward(self, x): + x = self.blocks(x) + x = self.proj(x) + x = self.d2st(x) + return x + + +def block_fn(channels, *, affine: bool = True, has_attention: bool = False, **block_kwargs): + attn_block = AttentionBlock(channels) if has_attention else None + return ResBlock(channels, affine=affine, attn_block=attn_block, **block_kwargs) + + +class DownsampleBlock(nn.Module): + def __init__( + self, + in_channels: int, + out_channels: int, + num_res_blocks, + *, + temporal_reduction=2, + spatial_reduction=2, + **block_kwargs, + ): + """ + Downsample block for the VAE encoder. + + Args: + in_channels: Number of input channels. + out_channels: Number of output channels. + num_res_blocks: Number of residual blocks. + temporal_reduction: Temporal reduction factor. + spatial_reduction: Spatial reduction factor. + """ + super().__init__() + layers = [] + + # Change the channel count in the strided convolution. + # This lets the ResBlock have uniform channel count, + # as in ConvNeXt. + assert in_channels != out_channels + layers.append( + PConv3d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=(temporal_reduction, spatial_reduction, spatial_reduction), + stride=(temporal_reduction, spatial_reduction, spatial_reduction), + # First layer in each block always uses replicate padding + padding_mode="replicate", + bias=block_kwargs["bias"], + ) + ) + + for _ in range(num_res_blocks): + layers.append(block_fn(out_channels, **block_kwargs)) + + self.layers = nn.Sequential(*layers) + + def forward(self, x): + return self.layers(x) + + +def add_fourier_features(inputs: torch.Tensor, start=6, stop=8, step=1): + num_freqs = (stop - start) // step + assert inputs.ndim == 5 + C = inputs.size(1) + + # Create Base 2 Fourier features. + freqs = torch.arange(start, stop, step, dtype=inputs.dtype, device=inputs.device) + assert num_freqs == len(freqs) + w = torch.pow(2.0, freqs) * (2 * torch.pi) # [num_freqs] + C = inputs.shape[1] + w = w.repeat(C)[None, :, None, None, None] # [1, C * num_freqs, 1, 1, 1] + + # Interleaved repeat of input channels to match w. + h = inputs.repeat_interleave(num_freqs, dim=1) # [B, C * num_freqs, T, H, W] + # Scale channels by frequency. + h = w * h + + return torch.cat( + [ + inputs, + torch.sin(h), + torch.cos(h), + ], + dim=1, + ) + + +class FourierFeatures(nn.Module): + def __init__(self, start: int = 6, stop: int = 8, step: int = 1): + super().__init__() + self.start = start + self.stop = stop + self.step = step + + def forward(self, inputs): + """Add Fourier features to inputs. + + Args: + inputs: Input tensor. Shape: [B, C, T, H, W] + + Returns: + h: Output tensor. Shape: [B, (1 + 2 * num_freqs) * C, T, H, W] + """ + return add_fourier_features(inputs, self.start, self.stop, self.step) + + +class Decoder(nn.Module): + def __init__( + self, + *, + out_channels: int = 3, + latent_dim: int, + base_channels: int, + channel_multipliers: List[int], + num_res_blocks: List[int], + temporal_expansions: Optional[List[int]] = None, + spatial_expansions: Optional[List[int]] = None, + has_attention: List[bool], + output_norm: bool = True, + nonlinearity: str = "silu", + output_nonlinearity: str = "silu", + causal: bool = True, + **block_kwargs, + ): + super().__init__() + self.input_channels = latent_dim + self.base_channels = base_channels + self.channel_multipliers = channel_multipliers + self.num_res_blocks = num_res_blocks + self.output_nonlinearity = output_nonlinearity + assert nonlinearity == "silu" + assert causal + + ch = [mult * base_channels for mult in channel_multipliers] + self.num_up_blocks = len(ch) - 1 + assert len(num_res_blocks) == self.num_up_blocks + 2 + + blocks = [] + + first_block = [ + ops.Conv3d(latent_dim, ch[-1], kernel_size=(1, 1, 1)) + ] # Input layer. + # First set of blocks preserve channel count. + for _ in range(num_res_blocks[-1]): + first_block.append( + block_fn( + ch[-1], + has_attention=has_attention[-1], + causal=causal, + **block_kwargs, + ) + ) + blocks.append(nn.Sequential(*first_block)) + + assert len(temporal_expansions) == len(spatial_expansions) == self.num_up_blocks + assert len(num_res_blocks) == len(has_attention) == self.num_up_blocks + 2 + + upsample_block_fn = CausalUpsampleBlock + + for i in range(self.num_up_blocks): + block = upsample_block_fn( + ch[-i - 1], + ch[-i - 2], + num_res_blocks=num_res_blocks[-i - 2], + has_attention=has_attention[-i - 2], + temporal_expansion=temporal_expansions[-i - 1], + spatial_expansion=spatial_expansions[-i - 1], + causal=causal, + **block_kwargs, + ) + blocks.append(block) + + assert not output_norm + + # Last block. Preserve channel count. + last_block = [] + for _ in range(num_res_blocks[0]): + last_block.append( + block_fn( + ch[0], has_attention=has_attention[0], causal=causal, **block_kwargs + ) + ) + blocks.append(nn.Sequential(*last_block)) + + self.blocks = nn.ModuleList(blocks) + self.output_proj = Conv1x1(ch[0], out_channels) + + def forward(self, x): + """Forward pass. + + Args: + x: Latent tensor. Shape: [B, input_channels, t, h, w]. Scaled [-1, 1]. + + Returns: + x: Reconstructed video tensor. Shape: [B, C, T, H, W]. Scaled to [-1, 1]. + T + 1 = (t - 1) * 4. + H = h * 16, W = w * 16. + """ + for block in self.blocks: + x = block(x) + + if self.output_nonlinearity == "silu": + x = F.silu(x, inplace=not self.training) + else: + assert ( + not self.output_nonlinearity + ) # StyleGAN3 omits the to-RGB nonlinearity. + + return self.output_proj(x).contiguous() + +class LatentDistribution: + def __init__(self, mean: torch.Tensor, logvar: torch.Tensor): + """Initialize latent distribution. + + Args: + mean: Mean of the distribution. Shape: [B, C, T, H, W]. + logvar: Logarithm of variance of the distribution. Shape: [B, C, T, H, W]. + """ + assert mean.shape == logvar.shape + self.mean = mean + self.logvar = logvar + + def sample(self, temperature=1.0, generator: torch.Generator = None, noise=None): + if temperature == 0.0: + return self.mean + + if noise is None: + noise = torch.randn(self.mean.shape, device=self.mean.device, dtype=self.mean.dtype, generator=generator) + else: + assert noise.device == self.mean.device + noise = noise.to(self.mean.dtype) + + if temperature != 1.0: + raise NotImplementedError(f"Temperature {temperature} is not supported.") + + # Just Gaussian sample with no scaling of variance. + return noise * torch.exp(self.logvar * 0.5) + self.mean + + def mode(self): + return self.mean + +class Encoder(nn.Module): + def __init__( + self, + *, + in_channels: int, + base_channels: int, + channel_multipliers: List[int], + num_res_blocks: List[int], + latent_dim: int, + temporal_reductions: List[int], + spatial_reductions: List[int], + prune_bottlenecks: List[bool], + has_attentions: List[bool], + affine: bool = True, + bias: bool = True, + input_is_conv_1x1: bool = False, + padding_mode: str, + ): + super().__init__() + self.temporal_reductions = temporal_reductions + self.spatial_reductions = spatial_reductions + self.base_channels = base_channels + self.channel_multipliers = channel_multipliers + self.num_res_blocks = num_res_blocks + self.latent_dim = latent_dim + + self.fourier_features = FourierFeatures() + ch = [mult * base_channels for mult in channel_multipliers] + num_down_blocks = len(ch) - 1 + assert len(num_res_blocks) == num_down_blocks + 2 + + layers = ( + [ops.Conv3d(in_channels, ch[0], kernel_size=(1, 1, 1), bias=True)] + if not input_is_conv_1x1 + else [Conv1x1(in_channels, ch[0])] + ) + + assert len(prune_bottlenecks) == num_down_blocks + 2 + assert len(has_attentions) == num_down_blocks + 2 + block = partial(block_fn, padding_mode=padding_mode, affine=affine, bias=bias) + + for _ in range(num_res_blocks[0]): + layers.append(block(ch[0], has_attention=has_attentions[0], prune_bottleneck=prune_bottlenecks[0])) + prune_bottlenecks = prune_bottlenecks[1:] + has_attentions = has_attentions[1:] + + assert len(temporal_reductions) == len(spatial_reductions) == len(ch) - 1 + for i in range(num_down_blocks): + layer = DownsampleBlock( + ch[i], + ch[i + 1], + num_res_blocks=num_res_blocks[i + 1], + temporal_reduction=temporal_reductions[i], + spatial_reduction=spatial_reductions[i], + prune_bottleneck=prune_bottlenecks[i], + has_attention=has_attentions[i], + affine=affine, + bias=bias, + padding_mode=padding_mode, + ) + + layers.append(layer) + + # Additional blocks. + for _ in range(num_res_blocks[-1]): + layers.append(block(ch[-1], has_attention=has_attentions[-1], prune_bottleneck=prune_bottlenecks[-1])) + + self.layers = nn.Sequential(*layers) + + # Output layers. + self.output_norm = norm_fn(ch[-1]) + self.output_proj = Conv1x1(ch[-1], 2 * latent_dim, bias=False) + + @property + def temporal_downsample(self): + return math.prod(self.temporal_reductions) + + @property + def spatial_downsample(self): + return math.prod(self.spatial_reductions) + + def forward(self, x) -> LatentDistribution: + """Forward pass. + + Args: + x: Input video tensor. Shape: [B, C, T, H, W]. Scaled to [-1, 1] + + Returns: + means: Latent tensor. Shape: [B, latent_dim, t, h, w]. Scaled [-1, 1]. + h = H // 8, w = W // 8, t - 1 = (T - 1) // 6 + logvar: Shape: [B, latent_dim, t, h, w]. + """ + assert x.ndim == 5, f"Expected 5D input, got {x.shape}" + x = self.fourier_features(x) + + x = self.layers(x) + + x = self.output_norm(x) + x = F.silu(x, inplace=True) + x = self.output_proj(x) + + means, logvar = torch.chunk(x, 2, dim=1) + + assert means.ndim == 5 + assert logvar.shape == means.shape + assert means.size(1) == self.latent_dim + + return LatentDistribution(means, logvar) + + +class VideoVAE(nn.Module): + def __init__(self): + super().__init__() + self.encoder = Encoder( + in_channels=15, + base_channels=64, + channel_multipliers=[1, 2, 4, 6], + num_res_blocks=[3, 3, 4, 6, 3], + latent_dim=12, + temporal_reductions=[1, 2, 3], + spatial_reductions=[2, 2, 2], + prune_bottlenecks=[False, False, False, False, False], + has_attentions=[False, True, True, True, True], + affine=True, + bias=True, + input_is_conv_1x1=True, + padding_mode="replicate" + ) + self.decoder = Decoder( + out_channels=3, + base_channels=128, + channel_multipliers=[1, 2, 4, 6], + temporal_expansions=[1, 2, 3], + spatial_expansions=[2, 2, 2], + num_res_blocks=[3, 3, 4, 6, 3], + latent_dim=12, + has_attention=[False, False, False, False, False], + padding_mode="replicate", + output_norm=False, + nonlinearity="silu", + output_nonlinearity="silu", + causal=True, + ) + + def encode(self, x): + return self.encoder(x).mode() + + def decode(self, x): + return self.decoder(x) diff --git a/comfy/ldm/hidream/model.py b/comfy/ldm/hidream/model.py new file mode 100644 index 0000000000000000000000000000000000000000..28d81c79e55b2a57d670633733654b64d5700c07 --- /dev/null +++ b/comfy/ldm/hidream/model.py @@ -0,0 +1,829 @@ +from typing import Optional, Tuple, List + +import torch +import torch.nn as nn +import einops +from einops import repeat + +from comfy.ldm.lightricks.model import TimestepEmbedding, Timesteps +import torch.nn.functional as F + +from comfy.ldm.flux.math import apply_rope, rope +from comfy.ldm.flux.layers import LastLayer + +from comfy.ldm.modules.attention import optimized_attention +import comfy.model_management +import comfy.patcher_extension +import comfy.ldm.common_dit + + +# Copied from https://github.com/black-forest-labs/flux/blob/main/src/flux/modules/layers.py +class EmbedND(nn.Module): + def __init__(self, theta: int, axes_dim: List[int]): + super().__init__() + self.theta = theta + self.axes_dim = axes_dim + + def forward(self, ids: torch.Tensor) -> torch.Tensor: + n_axes = ids.shape[-1] + emb = torch.cat( + [rope(ids[..., i], self.axes_dim[i], self.theta) for i in range(n_axes)], + dim=-3, + ) + return emb.unsqueeze(2) + + +class PatchEmbed(nn.Module): + def __init__( + self, + patch_size=2, + in_channels=4, + out_channels=1024, + dtype=None, device=None, operations=None + ): + super().__init__() + self.patch_size = patch_size + self.out_channels = out_channels + self.proj = operations.Linear(in_channels * patch_size * patch_size, out_channels, bias=True, dtype=dtype, device=device) + + def forward(self, latent): + latent = self.proj(latent) + return latent + + +class PooledEmbed(nn.Module): + def __init__(self, text_emb_dim, hidden_size, dtype=None, device=None, operations=None): + super().__init__() + self.pooled_embedder = TimestepEmbedding(in_channels=text_emb_dim, time_embed_dim=hidden_size, dtype=dtype, device=device, operations=operations) + + def forward(self, pooled_embed): + return self.pooled_embedder(pooled_embed) + + +class TimestepEmbed(nn.Module): + def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None): + super().__init__() + self.time_proj = Timesteps(num_channels=frequency_embedding_size, flip_sin_to_cos=True, downscale_freq_shift=0) + self.timestep_embedder = TimestepEmbedding(in_channels=frequency_embedding_size, time_embed_dim=hidden_size, dtype=dtype, device=device, operations=operations) + + def forward(self, timesteps, wdtype): + t_emb = self.time_proj(timesteps).to(dtype=wdtype) + t_emb = self.timestep_embedder(t_emb) + return t_emb + + +def attention(query: torch.Tensor, key: torch.Tensor, value: torch.Tensor, transformer_options={}): + return optimized_attention(query.view(query.shape[0], -1, query.shape[-1] * query.shape[-2]), key.view(key.shape[0], -1, key.shape[-1] * key.shape[-2]), value.view(value.shape[0], -1, value.shape[-1] * value.shape[-2]), query.shape[2], transformer_options=transformer_options) + + +class HiDreamAttnProcessor_flashattn: + """Attention processor used typically in processing the SD3-like self-attention projections.""" + + def __call__( + self, + attn, + image_tokens: torch.FloatTensor, + image_tokens_masks: Optional[torch.FloatTensor] = None, + text_tokens: Optional[torch.FloatTensor] = None, + rope: torch.FloatTensor = None, + transformer_options={}, + *args, + **kwargs, + ) -> torch.FloatTensor: + dtype = image_tokens.dtype + batch_size = image_tokens.shape[0] + + query_i = attn.q_rms_norm(attn.to_q(image_tokens)).to(dtype=dtype) + key_i = attn.k_rms_norm(attn.to_k(image_tokens)).to(dtype=dtype) + value_i = attn.to_v(image_tokens) + + inner_dim = key_i.shape[-1] + head_dim = inner_dim // attn.heads + + query_i = query_i.view(batch_size, -1, attn.heads, head_dim) + key_i = key_i.view(batch_size, -1, attn.heads, head_dim) + value_i = value_i.view(batch_size, -1, attn.heads, head_dim) + if image_tokens_masks is not None: + key_i = key_i * image_tokens_masks.view(batch_size, -1, 1, 1) + + if not attn.single: + query_t = attn.q_rms_norm_t(attn.to_q_t(text_tokens)).to(dtype=dtype) + key_t = attn.k_rms_norm_t(attn.to_k_t(text_tokens)).to(dtype=dtype) + value_t = attn.to_v_t(text_tokens) + + query_t = query_t.view(batch_size, -1, attn.heads, head_dim) + key_t = key_t.view(batch_size, -1, attn.heads, head_dim) + value_t = value_t.view(batch_size, -1, attn.heads, head_dim) + + num_image_tokens = query_i.shape[1] + num_text_tokens = query_t.shape[1] + query = torch.cat([query_i, query_t], dim=1) + key = torch.cat([key_i, key_t], dim=1) + value = torch.cat([value_i, value_t], dim=1) + else: + query = query_i + key = key_i + value = value_i + + if query.shape[-1] == rope.shape[-3] * 2: + query, key = apply_rope(query, key, rope) + else: + query_1, query_2 = query.chunk(2, dim=-1) + key_1, key_2 = key.chunk(2, dim=-1) + query_1, key_1 = apply_rope(query_1, key_1, rope) + query = torch.cat([query_1, query_2], dim=-1) + key = torch.cat([key_1, key_2], dim=-1) + + hidden_states = attention(query, key, value, transformer_options=transformer_options) + + if not attn.single: + hidden_states_i, hidden_states_t = torch.split(hidden_states, [num_image_tokens, num_text_tokens], dim=1) + hidden_states_i = attn.to_out(hidden_states_i) + hidden_states_t = attn.to_out_t(hidden_states_t) + return hidden_states_i, hidden_states_t + else: + hidden_states = attn.to_out(hidden_states) + return hidden_states + +class HiDreamAttention(nn.Module): + def __init__( + self, + query_dim: int, + heads: int = 8, + dim_head: int = 64, + upcast_attention: bool = False, + upcast_softmax: bool = False, + scale_qk: bool = True, + eps: float = 1e-5, + processor = None, + out_dim: int = None, + single: bool = False, + dtype=None, device=None, operations=None + ): + # super(Attention, self).__init__() + super().__init__() + self.inner_dim = out_dim if out_dim is not None else dim_head * heads + self.query_dim = query_dim + self.upcast_attention = upcast_attention + self.upcast_softmax = upcast_softmax + self.out_dim = out_dim if out_dim is not None else query_dim + + self.scale_qk = scale_qk + self.scale = dim_head**-0.5 if self.scale_qk else 1.0 + + self.heads = out_dim // dim_head if out_dim is not None else heads + self.sliceable_head_dim = heads + self.single = single + + linear_cls = operations.Linear + self.linear_cls = linear_cls + self.to_q = linear_cls(query_dim, self.inner_dim, dtype=dtype, device=device) + self.to_k = linear_cls(self.inner_dim, self.inner_dim, dtype=dtype, device=device) + self.to_v = linear_cls(self.inner_dim, self.inner_dim, dtype=dtype, device=device) + self.to_out = linear_cls(self.inner_dim, self.out_dim, dtype=dtype, device=device) + self.q_rms_norm = operations.RMSNorm(self.inner_dim, eps, dtype=dtype, device=device) + self.k_rms_norm = operations.RMSNorm(self.inner_dim, eps, dtype=dtype, device=device) + + if not single: + self.to_q_t = linear_cls(query_dim, self.inner_dim, dtype=dtype, device=device) + self.to_k_t = linear_cls(self.inner_dim, self.inner_dim, dtype=dtype, device=device) + self.to_v_t = linear_cls(self.inner_dim, self.inner_dim, dtype=dtype, device=device) + self.to_out_t = linear_cls(self.inner_dim, self.out_dim, dtype=dtype, device=device) + self.q_rms_norm_t = operations.RMSNorm(self.inner_dim, eps, dtype=dtype, device=device) + self.k_rms_norm_t = operations.RMSNorm(self.inner_dim, eps, dtype=dtype, device=device) + + self.processor = processor + + def forward( + self, + norm_image_tokens: torch.FloatTensor, + image_tokens_masks: torch.FloatTensor = None, + norm_text_tokens: torch.FloatTensor = None, + rope: torch.FloatTensor = None, + transformer_options={}, + ) -> torch.Tensor: + return self.processor( + self, + image_tokens = norm_image_tokens, + image_tokens_masks = image_tokens_masks, + text_tokens = norm_text_tokens, + rope = rope, + transformer_options=transformer_options, + ) + + +class FeedForwardSwiGLU(nn.Module): + def __init__( + self, + dim: int, + hidden_dim: int, + multiple_of: int = 256, + ffn_dim_multiplier: Optional[float] = None, + dtype=None, device=None, operations=None + ): + super().__init__() + hidden_dim = int(2 * hidden_dim / 3) + # custom dim factor multiplier + if ffn_dim_multiplier is not None: + hidden_dim = int(ffn_dim_multiplier * hidden_dim) + hidden_dim = multiple_of * ( + (hidden_dim + multiple_of - 1) // multiple_of + ) + + self.w1 = operations.Linear(dim, hidden_dim, bias=False, dtype=dtype, device=device) + self.w2 = operations.Linear(hidden_dim, dim, bias=False, dtype=dtype, device=device) + self.w3 = operations.Linear(dim, hidden_dim, bias=False, dtype=dtype, device=device) + + def forward(self, x): + return self.w2(torch.nn.functional.silu(self.w1(x)) * self.w3(x)) + + +# Modified from https://github.com/deepseek-ai/DeepSeek-V3/blob/main/inference/model.py +class MoEGate(nn.Module): + def __init__(self, embed_dim, num_routed_experts=4, num_activated_experts=2, aux_loss_alpha=0.01, dtype=None, device=None, operations=None): + super().__init__() + self.top_k = num_activated_experts + self.n_routed_experts = num_routed_experts + + self.scoring_func = 'softmax' + self.alpha = aux_loss_alpha + self.seq_aux = False + + # topk selection algorithm + self.norm_topk_prob = False + self.gating_dim = embed_dim + self.weight = nn.Parameter(torch.empty((self.n_routed_experts, self.gating_dim), dtype=dtype, device=device)) + self.reset_parameters() + + def reset_parameters(self) -> None: + pass + # import torch.nn.init as init + # init.kaiming_uniform_(self.weight, a=math.sqrt(5)) + + def forward(self, hidden_states): + bsz, seq_len, h = hidden_states.shape + + ### compute gating score + hidden_states = hidden_states.view(-1, h) + logits = F.linear(hidden_states, comfy.model_management.cast_to(self.weight, dtype=hidden_states.dtype, device=hidden_states.device), None) + if self.scoring_func == 'softmax': + scores = logits.softmax(dim=-1) + else: + raise NotImplementedError(f'insupportable scoring function for MoE gating: {self.scoring_func}') + + ### select top-k experts + topk_weight, topk_idx = torch.topk(scores, k=self.top_k, dim=-1, sorted=False) + + ### norm gate to sum 1 + if self.top_k > 1 and self.norm_topk_prob: + denominator = topk_weight.sum(dim=-1, keepdim=True) + 1e-20 + topk_weight = topk_weight / denominator + + aux_loss = None + return topk_idx, topk_weight, aux_loss + + +# Modified from https://github.com/deepseek-ai/DeepSeek-V3/blob/main/inference/model.py +class MOEFeedForwardSwiGLU(nn.Module): + def __init__( + self, + dim: int, + hidden_dim: int, + num_routed_experts: int, + num_activated_experts: int, + dtype=None, device=None, operations=None + ): + super().__init__() + self.shared_experts = FeedForwardSwiGLU(dim, hidden_dim // 2, dtype=dtype, device=device, operations=operations) + self.experts = nn.ModuleList([FeedForwardSwiGLU(dim, hidden_dim, dtype=dtype, device=device, operations=operations) for i in range(num_routed_experts)]) + self.gate = MoEGate( + embed_dim = dim, + num_routed_experts = num_routed_experts, + num_activated_experts = num_activated_experts, + dtype=dtype, device=device, operations=operations + ) + self.num_activated_experts = num_activated_experts + + def forward(self, x): + wtype = x.dtype + identity = x + orig_shape = x.shape + topk_idx, topk_weight, aux_loss = self.gate(x) + x = x.view(-1, x.shape[-1]) + flat_topk_idx = topk_idx.view(-1) + if True: # self.training: # TODO: check which branch performs faster + x = x.repeat_interleave(self.num_activated_experts, dim=0) + y = torch.empty_like(x, dtype=wtype) + for i, expert in enumerate(self.experts): + y[flat_topk_idx == i] = expert(x[flat_topk_idx == i]).to(dtype=wtype) + y = (y.view(*topk_weight.shape, -1) * topk_weight.unsqueeze(-1)).sum(dim=1) + y = y.view(*orig_shape).to(dtype=wtype) + #y = AddAuxiliaryLoss.apply(y, aux_loss) + else: + y = self.moe_infer(x, flat_topk_idx, topk_weight.view(-1, 1)).view(*orig_shape) + y = y + self.shared_experts(identity) + return y + + @torch.no_grad() + def moe_infer(self, x, flat_expert_indices, flat_expert_weights): + expert_cache = torch.zeros_like(x) + idxs = flat_expert_indices.argsort() + tokens_per_expert = flat_expert_indices.bincount().cpu().numpy().cumsum(0) + token_idxs = idxs // self.num_activated_experts + for i, end_idx in enumerate(tokens_per_expert): + start_idx = 0 if i == 0 else tokens_per_expert[i-1] + if start_idx == end_idx: + continue + expert = self.experts[i] + exp_token_idx = token_idxs[start_idx:end_idx] + expert_tokens = x[exp_token_idx] + expert_out = expert(expert_tokens) + expert_out.mul_(flat_expert_weights[idxs[start_idx:end_idx]]) + + # for fp16 and other dtype + expert_cache = expert_cache.to(expert_out.dtype) + expert_cache.scatter_reduce_(0, exp_token_idx.view(-1, 1).repeat(1, x.shape[-1]), expert_out, reduce='sum') + return expert_cache + + +class TextProjection(nn.Module): + def __init__(self, in_features, hidden_size, dtype=None, device=None, operations=None): + super().__init__() + self.linear = operations.Linear(in_features=in_features, out_features=hidden_size, bias=False, dtype=dtype, device=device) + + def forward(self, caption): + hidden_states = self.linear(caption) + return hidden_states + + +class BlockType: + TransformerBlock = 1 + SingleTransformerBlock = 2 + + +class HiDreamImageSingleTransformerBlock(nn.Module): + def __init__( + self, + dim: int, + num_attention_heads: int, + attention_head_dim: int, + num_routed_experts: int = 4, + num_activated_experts: int = 2, + dtype=None, device=None, operations=None + ): + super().__init__() + self.num_attention_heads = num_attention_heads + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(dim, 6 * dim, bias=True, dtype=dtype, device=device) + ) + + # 1. Attention + self.norm1_i = operations.LayerNorm(dim, eps = 1e-06, elementwise_affine = False, dtype=dtype, device=device) + self.attn1 = HiDreamAttention( + query_dim=dim, + heads=num_attention_heads, + dim_head=attention_head_dim, + processor = HiDreamAttnProcessor_flashattn(), + single = True, + dtype=dtype, device=device, operations=operations + ) + + # 3. Feed-forward + self.norm3_i = operations.LayerNorm(dim, eps = 1e-06, elementwise_affine = False, dtype=dtype, device=device) + if num_routed_experts > 0: + self.ff_i = MOEFeedForwardSwiGLU( + dim = dim, + hidden_dim = 4 * dim, + num_routed_experts = num_routed_experts, + num_activated_experts = num_activated_experts, + dtype=dtype, device=device, operations=operations + ) + else: + self.ff_i = FeedForwardSwiGLU(dim = dim, hidden_dim = 4 * dim, dtype=dtype, device=device, operations=operations) + + def forward( + self, + image_tokens: torch.FloatTensor, + image_tokens_masks: Optional[torch.FloatTensor] = None, + text_tokens: Optional[torch.FloatTensor] = None, + adaln_input: Optional[torch.FloatTensor] = None, + rope: torch.FloatTensor = None, + transformer_options={}, + ) -> torch.FloatTensor: + wtype = image_tokens.dtype + shift_msa_i, scale_msa_i, gate_msa_i, shift_mlp_i, scale_mlp_i, gate_mlp_i = \ + self.adaLN_modulation(adaln_input)[:,None].chunk(6, dim=-1) + + # 1. MM-Attention + norm_image_tokens = self.norm1_i(image_tokens).to(dtype=wtype) + norm_image_tokens = norm_image_tokens * (1 + scale_msa_i) + shift_msa_i + attn_output_i = self.attn1( + norm_image_tokens, + image_tokens_masks, + rope = rope, + transformer_options=transformer_options, + ) + image_tokens = gate_msa_i * attn_output_i + image_tokens + + # 2. Feed-forward + norm_image_tokens = self.norm3_i(image_tokens).to(dtype=wtype) + norm_image_tokens = norm_image_tokens * (1 + scale_mlp_i) + shift_mlp_i + ff_output_i = gate_mlp_i * self.ff_i(norm_image_tokens.to(dtype=wtype)) + image_tokens = ff_output_i + image_tokens + return image_tokens + + +class HiDreamImageTransformerBlock(nn.Module): + def __init__( + self, + dim: int, + num_attention_heads: int, + attention_head_dim: int, + num_routed_experts: int = 4, + num_activated_experts: int = 2, + dtype=None, device=None, operations=None + ): + super().__init__() + self.num_attention_heads = num_attention_heads + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(dim, 12 * dim, bias=True, dtype=dtype, device=device) + ) + # nn.init.zeros_(self.adaLN_modulation[1].weight) + # nn.init.zeros_(self.adaLN_modulation[1].bias) + + # 1. Attention + self.norm1_i = operations.LayerNorm(dim, eps = 1e-06, elementwise_affine = False, dtype=dtype, device=device) + self.norm1_t = operations.LayerNorm(dim, eps = 1e-06, elementwise_affine = False, dtype=dtype, device=device) + self.attn1 = HiDreamAttention( + query_dim=dim, + heads=num_attention_heads, + dim_head=attention_head_dim, + processor = HiDreamAttnProcessor_flashattn(), + single = False, + dtype=dtype, device=device, operations=operations + ) + + # 3. Feed-forward + self.norm3_i = operations.LayerNorm(dim, eps = 1e-06, elementwise_affine = False, dtype=dtype, device=device) + if num_routed_experts > 0: + self.ff_i = MOEFeedForwardSwiGLU( + dim = dim, + hidden_dim = 4 * dim, + num_routed_experts = num_routed_experts, + num_activated_experts = num_activated_experts, + dtype=dtype, device=device, operations=operations + ) + else: + self.ff_i = FeedForwardSwiGLU(dim = dim, hidden_dim = 4 * dim, dtype=dtype, device=device, operations=operations) + self.norm3_t = operations.LayerNorm(dim, eps = 1e-06, elementwise_affine = False) + self.ff_t = FeedForwardSwiGLU(dim = dim, hidden_dim = 4 * dim, dtype=dtype, device=device, operations=operations) + + def forward( + self, + image_tokens: torch.FloatTensor, + image_tokens_masks: Optional[torch.FloatTensor] = None, + text_tokens: Optional[torch.FloatTensor] = None, + adaln_input: Optional[torch.FloatTensor] = None, + rope: torch.FloatTensor = None, + transformer_options={}, + ) -> torch.FloatTensor: + wtype = image_tokens.dtype + shift_msa_i, scale_msa_i, gate_msa_i, shift_mlp_i, scale_mlp_i, gate_mlp_i, \ + shift_msa_t, scale_msa_t, gate_msa_t, shift_mlp_t, scale_mlp_t, gate_mlp_t = \ + self.adaLN_modulation(adaln_input)[:,None].chunk(12, dim=-1) + + # 1. MM-Attention + norm_image_tokens = self.norm1_i(image_tokens).to(dtype=wtype) + norm_image_tokens = norm_image_tokens * (1 + scale_msa_i) + shift_msa_i + norm_text_tokens = self.norm1_t(text_tokens).to(dtype=wtype) + norm_text_tokens = norm_text_tokens * (1 + scale_msa_t) + shift_msa_t + + attn_output_i, attn_output_t = self.attn1( + norm_image_tokens, + image_tokens_masks, + norm_text_tokens, + rope = rope, + transformer_options=transformer_options, + ) + + image_tokens = gate_msa_i * attn_output_i + image_tokens + text_tokens = gate_msa_t * attn_output_t + text_tokens + + # 2. Feed-forward + norm_image_tokens = self.norm3_i(image_tokens).to(dtype=wtype) + norm_image_tokens = norm_image_tokens * (1 + scale_mlp_i) + shift_mlp_i + norm_text_tokens = self.norm3_t(text_tokens).to(dtype=wtype) + norm_text_tokens = norm_text_tokens * (1 + scale_mlp_t) + shift_mlp_t + + ff_output_i = gate_mlp_i * self.ff_i(norm_image_tokens) + ff_output_t = gate_mlp_t * self.ff_t(norm_text_tokens) + image_tokens = ff_output_i + image_tokens + text_tokens = ff_output_t + text_tokens + return image_tokens, text_tokens + + +class HiDreamImageBlock(nn.Module): + def __init__( + self, + dim: int, + num_attention_heads: int, + attention_head_dim: int, + num_routed_experts: int = 4, + num_activated_experts: int = 2, + block_type: BlockType = BlockType.TransformerBlock, + dtype=None, device=None, operations=None + ): + super().__init__() + block_classes = { + BlockType.TransformerBlock: HiDreamImageTransformerBlock, + BlockType.SingleTransformerBlock: HiDreamImageSingleTransformerBlock, + } + self.block = block_classes[block_type]( + dim, + num_attention_heads, + attention_head_dim, + num_routed_experts, + num_activated_experts, + dtype=dtype, device=device, operations=operations + ) + + def forward( + self, + image_tokens: torch.FloatTensor, + image_tokens_masks: Optional[torch.FloatTensor] = None, + text_tokens: Optional[torch.FloatTensor] = None, + adaln_input: torch.FloatTensor = None, + rope: torch.FloatTensor = None, + transformer_options={}, + ) -> torch.FloatTensor: + return self.block( + image_tokens, + image_tokens_masks, + text_tokens, + adaln_input, + rope, + transformer_options=transformer_options, + ) + + +class HiDreamImageTransformer2DModel(nn.Module): + def __init__( + self, + patch_size: Optional[int] = None, + in_channels: int = 64, + out_channels: Optional[int] = None, + num_layers: int = 16, + num_single_layers: int = 32, + attention_head_dim: int = 128, + num_attention_heads: int = 20, + caption_channels: List[int] = None, + text_emb_dim: int = 2048, + num_routed_experts: int = 4, + num_activated_experts: int = 2, + axes_dims_rope: Tuple[int, int] = (32, 32), + max_resolution: Tuple[int, int] = (128, 128), + llama_layers: List[int] = None, + image_model=None, + dtype=None, device=None, operations=None + ): + self.patch_size = patch_size + self.num_attention_heads = num_attention_heads + self.attention_head_dim = attention_head_dim + self.num_layers = num_layers + self.num_single_layers = num_single_layers + + self.gradient_checkpointing = False + + super().__init__() + self.dtype = dtype + self.out_channels = out_channels or in_channels + self.inner_dim = self.num_attention_heads * self.attention_head_dim + self.llama_layers = llama_layers + + self.t_embedder = TimestepEmbed(self.inner_dim, dtype=dtype, device=device, operations=operations) + self.p_embedder = PooledEmbed(text_emb_dim, self.inner_dim, dtype=dtype, device=device, operations=operations) + self.x_embedder = PatchEmbed( + patch_size = patch_size, + in_channels = in_channels, + out_channels = self.inner_dim, + dtype=dtype, device=device, operations=operations + ) + self.pe_embedder = EmbedND(theta=10000, axes_dim=axes_dims_rope) + + self.double_stream_blocks = nn.ModuleList( + [ + HiDreamImageBlock( + dim = self.inner_dim, + num_attention_heads = self.num_attention_heads, + attention_head_dim = self.attention_head_dim, + num_routed_experts = num_routed_experts, + num_activated_experts = num_activated_experts, + block_type = BlockType.TransformerBlock, + dtype=dtype, device=device, operations=operations + ) + for i in range(self.num_layers) + ] + ) + + self.single_stream_blocks = nn.ModuleList( + [ + HiDreamImageBlock( + dim = self.inner_dim, + num_attention_heads = self.num_attention_heads, + attention_head_dim = self.attention_head_dim, + num_routed_experts = num_routed_experts, + num_activated_experts = num_activated_experts, + block_type = BlockType.SingleTransformerBlock, + dtype=dtype, device=device, operations=operations + ) + for i in range(self.num_single_layers) + ] + ) + + self.final_layer = LastLayer(self.inner_dim, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations) + + caption_channels = [caption_channels[1], ] * (num_layers + num_single_layers) + [caption_channels[0], ] + caption_projection = [] + for caption_channel in caption_channels: + caption_projection.append(TextProjection(in_features=caption_channel, hidden_size=self.inner_dim, dtype=dtype, device=device, operations=operations)) + self.caption_projection = nn.ModuleList(caption_projection) + self.max_seq = max_resolution[0] * max_resolution[1] // (patch_size * patch_size) + + def expand_timesteps(self, timesteps, batch_size, device): + if not torch.is_tensor(timesteps): + is_mps = device.type == "mps" + if isinstance(timesteps, float): + dtype = torch.float32 if is_mps else torch.float64 + else: + dtype = torch.int32 if is_mps else torch.int64 + timesteps = torch.tensor([timesteps], dtype=dtype, device=device) + elif len(timesteps.shape) == 0: + timesteps = timesteps[None].to(device) + # broadcast to batch dimension in a way that's compatible with ONNX/Core ML + timesteps = timesteps.expand(batch_size) + return timesteps + + def unpatchify(self, x: torch.Tensor, img_sizes: List[Tuple[int, int]]) -> List[torch.Tensor]: + x_arr = [] + for i, img_size in enumerate(img_sizes): + pH, pW = img_size + x_arr.append( + einops.rearrange(x[i, :pH*pW].reshape(1, pH, pW, -1), 'B H W (p1 p2 C) -> B C (H p1) (W p2)', + p1=self.patch_size, p2=self.patch_size) + ) + x = torch.cat(x_arr, dim=0) + return x + + def patchify(self, x, max_seq, img_sizes=None): + pz2 = self.patch_size * self.patch_size + if isinstance(x, torch.Tensor): + B = x.shape[0] + device = x.device + dtype = x.dtype + else: + B = len(x) + device = x[0].device + dtype = x[0].dtype + x_masks = torch.zeros((B, max_seq), dtype=dtype, device=device) + + if img_sizes is not None: + for i, img_size in enumerate(img_sizes): + x_masks[i, 0:img_size[0] * img_size[1]] = 1 + x = einops.rearrange(x, 'B C S p -> B S (p C)', p=pz2) + elif isinstance(x, torch.Tensor): + pH, pW = x.shape[-2] // self.patch_size, x.shape[-1] // self.patch_size + x = einops.rearrange(x, 'B C (H p1) (W p2) -> B (H W) (p1 p2 C)', p1=self.patch_size, p2=self.patch_size) + img_sizes = [[pH, pW]] * B + x_masks = None + else: + raise NotImplementedError + return x, x_masks, img_sizes + + def forward(self, + x: torch.Tensor, + t: torch.Tensor, + y: Optional[torch.Tensor] = None, + context: Optional[torch.Tensor] = None, + encoder_hidden_states_llama3=None, + image_cond=None, + control = None, + transformer_options = {}, + ): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, t, y, context, encoder_hidden_states_llama3, image_cond, control, transformer_options) + + def _forward( + self, + x: torch.Tensor, + t: torch.Tensor, + y: Optional[torch.Tensor] = None, + context: Optional[torch.Tensor] = None, + encoder_hidden_states_llama3=None, + image_cond=None, + control = None, + transformer_options = {}, + ) -> torch.Tensor: + bs, c, h, w = x.shape + if image_cond is not None: + x = torch.cat([x, image_cond], dim=-1) + hidden_states = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size)) + timesteps = t + pooled_embeds = y + T5_encoder_hidden_states = context + + img_sizes = None + + # spatial forward + batch_size = hidden_states.shape[0] + hidden_states_type = hidden_states.dtype + + # 0. time + timesteps = self.expand_timesteps(timesteps, batch_size, hidden_states.device) + timesteps = self.t_embedder(timesteps, hidden_states_type) + p_embedder = self.p_embedder(pooled_embeds) + adaln_input = timesteps + p_embedder + + hidden_states, image_tokens_masks, img_sizes = self.patchify(hidden_states, self.max_seq, img_sizes) + if image_tokens_masks is None: + pH, pW = img_sizes[0] + img_ids = torch.zeros(pH, pW, 3, device=hidden_states.device) + img_ids[..., 1] = img_ids[..., 1] + torch.arange(pH, device=hidden_states.device)[:, None] + img_ids[..., 2] = img_ids[..., 2] + torch.arange(pW, device=hidden_states.device)[None, :] + img_ids = repeat(img_ids, "h w c -> b (h w) c", b=batch_size) + hidden_states = self.x_embedder(hidden_states) + + # T5_encoder_hidden_states = encoder_hidden_states[0] + encoder_hidden_states = encoder_hidden_states_llama3.movedim(1, 0) + encoder_hidden_states = [encoder_hidden_states[k] for k in self.llama_layers] + + if self.caption_projection is not None: + new_encoder_hidden_states = [] + for i, enc_hidden_state in enumerate(encoder_hidden_states): + enc_hidden_state = self.caption_projection[i](enc_hidden_state) + enc_hidden_state = enc_hidden_state.view(batch_size, -1, hidden_states.shape[-1]) + new_encoder_hidden_states.append(enc_hidden_state) + encoder_hidden_states = new_encoder_hidden_states + T5_encoder_hidden_states = self.caption_projection[-1](T5_encoder_hidden_states) + T5_encoder_hidden_states = T5_encoder_hidden_states.view(batch_size, -1, hidden_states.shape[-1]) + encoder_hidden_states.append(T5_encoder_hidden_states) + + txt_ids = torch.zeros( + batch_size, + encoder_hidden_states[-1].shape[1] + encoder_hidden_states[-2].shape[1] + encoder_hidden_states[0].shape[1], + 3, + device=img_ids.device, dtype=img_ids.dtype + ) + ids = torch.cat((img_ids, txt_ids), dim=1) + rope = self.pe_embedder(ids) + + # 2. Blocks + block_id = 0 + initial_encoder_hidden_states = torch.cat([encoder_hidden_states[-1], encoder_hidden_states[-2]], dim=1) + initial_encoder_hidden_states_seq_len = initial_encoder_hidden_states.shape[1] + for bid, block in enumerate(self.double_stream_blocks): + cur_llama31_encoder_hidden_states = encoder_hidden_states[block_id] + cur_encoder_hidden_states = torch.cat([initial_encoder_hidden_states, cur_llama31_encoder_hidden_states], dim=1) + hidden_states, initial_encoder_hidden_states = block( + image_tokens = hidden_states, + image_tokens_masks = image_tokens_masks, + text_tokens = cur_encoder_hidden_states, + adaln_input = adaln_input, + rope = rope, + transformer_options=transformer_options, + ) + initial_encoder_hidden_states = initial_encoder_hidden_states[:, :initial_encoder_hidden_states_seq_len] + block_id += 1 + + image_tokens_seq_len = hidden_states.shape[1] + hidden_states = torch.cat([hidden_states, initial_encoder_hidden_states], dim=1) + hidden_states_seq_len = hidden_states.shape[1] + if image_tokens_masks is not None: + encoder_attention_mask_ones = torch.ones( + (batch_size, initial_encoder_hidden_states.shape[1] + cur_llama31_encoder_hidden_states.shape[1]), + device=image_tokens_masks.device, dtype=image_tokens_masks.dtype + ) + image_tokens_masks = torch.cat([image_tokens_masks, encoder_attention_mask_ones], dim=1) + + for bid, block in enumerate(self.single_stream_blocks): + cur_llama31_encoder_hidden_states = encoder_hidden_states[block_id] + hidden_states = torch.cat([hidden_states, cur_llama31_encoder_hidden_states], dim=1) + hidden_states = block( + image_tokens=hidden_states, + image_tokens_masks=image_tokens_masks, + text_tokens=None, + adaln_input=adaln_input, + rope=rope, + transformer_options=transformer_options, + ) + hidden_states = hidden_states[:, :hidden_states_seq_len] + block_id += 1 + + hidden_states = hidden_states[:, :image_tokens_seq_len, ...] + output = self.final_layer(hidden_states, adaln_input) + output = self.unpatchify(output, img_sizes) + return -output[:, :, :h, :w] diff --git a/comfy/ldm/hunyuan3d/model.py b/comfy/ldm/hunyuan3d/model.py new file mode 100644 index 0000000000000000000000000000000000000000..4991b164531e1b095f748f2aa5cdb06a59542fc2 --- /dev/null +++ b/comfy/ldm/hunyuan3d/model.py @@ -0,0 +1,148 @@ +import torch +from torch import nn +from comfy.ldm.flux.layers import ( + DoubleStreamBlock, + LastLayer, + MLPEmbedder, + SingleStreamBlock, + timestep_embedding, +) +import comfy.patcher_extension + + +class Hunyuan3Dv2(nn.Module): + def __init__( + self, + in_channels=64, + context_in_dim=1536, + hidden_size=1024, + mlp_ratio=4.0, + num_heads=16, + depth=16, + depth_single_blocks=32, + qkv_bias=True, + guidance_embed=False, + image_model=None, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.dtype = dtype + + if hidden_size % num_heads != 0: + raise ValueError( + f"Hidden size {hidden_size} must be divisible by num_heads {num_heads}" + ) + + self.max_period = 1000 # While reimplementing the model I noticed that they messed up. This 1000 value was meant to be the time_factor but they set the max_period instead + self.latent_in = operations.Linear(in_channels, hidden_size, bias=True, dtype=dtype, device=device) + self.time_in = MLPEmbedder(in_dim=256, hidden_dim=hidden_size, dtype=dtype, device=device, operations=operations) + self.guidance_in = ( + MLPEmbedder(in_dim=256, hidden_dim=hidden_size, dtype=dtype, device=device, operations=operations) if guidance_embed else None + ) + self.cond_in = operations.Linear(context_in_dim, hidden_size, dtype=dtype, device=device) + self.double_blocks = nn.ModuleList( + [ + DoubleStreamBlock( + hidden_size, + num_heads, + mlp_ratio=mlp_ratio, + qkv_bias=qkv_bias, + dtype=dtype, device=device, operations=operations + ) + for _ in range(depth) + ] + ) + self.single_blocks = nn.ModuleList( + [ + SingleStreamBlock( + hidden_size, + num_heads, + mlp_ratio=mlp_ratio, + dtype=dtype, device=device, operations=operations + ) + for _ in range(depth_single_blocks) + ] + ) + self.final_layer = LastLayer(hidden_size, 1, in_channels, dtype=dtype, device=device, operations=operations) + + def forward(self, x, timestep, context, guidance=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, guidance, transformer_options, **kwargs) + + def _forward(self, x, timestep, context, guidance=None, transformer_options={}, **kwargs): + x = x.movedim(-1, -2) + timestep = 1.0 - timestep + txt = context + img = self.latent_in(x) + + vec = self.time_in(timestep_embedding(timestep, 256, self.max_period).to(dtype=img.dtype)) + if self.guidance_in is not None: + if guidance is not None: + vec = vec + self.guidance_in(timestep_embedding(guidance, 256, self.max_period).to(img.dtype)) + + txt = self.cond_in(txt) + pe = None + attn_mask = None + + patches_replace = transformer_options.get("patches_replace", {}) + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.double_blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"], out["txt"] = block(img=args["img"], + txt=args["txt"], + vec=args["vec"], + pe=args["pe"], + attn_mask=args.get("attn_mask"), + transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("double_block", i)]({"img": img, + "txt": txt, + "vec": vec, + "pe": pe, + "attn_mask": attn_mask, + "transformer_options": transformer_options}, + {"original_block": block_wrap}) + txt = out["txt"] + img = out["img"] + else: + img, txt = block(img=img, + txt=txt, + vec=vec, + pe=pe, + attn_mask=attn_mask, + transformer_options=transformer_options) + + img = torch.cat((txt, img), 1) + + for i, block in enumerate(self.single_blocks): + if ("single_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], + vec=args["vec"], + pe=args["pe"], + attn_mask=args.get("attn_mask"), + transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("single_block", i)]({"img": img, + "vec": vec, + "pe": pe, + "attn_mask": attn_mask, + "transformer_options": transformer_options}, + {"original_block": block_wrap}) + img = out["img"] + else: + img = block(img, vec=vec, pe=pe, attn_mask=attn_mask, transformer_options=transformer_options) + + img = img[:, txt.shape[1]:, ...] + img = self.final_layer(img, vec) + return img.movedim(-2, -1) * (-1.0) diff --git a/comfy/ldm/hunyuan3d/vae.py b/comfy/ldm/hunyuan3d/vae.py new file mode 100644 index 0000000000000000000000000000000000000000..76094482700f8b2fbd8379323640b4ed7fe0a01a --- /dev/null +++ b/comfy/ldm/hunyuan3d/vae.py @@ -0,0 +1,988 @@ +# Original: https://github.com/Tencent/Hunyuan3D-2/blob/main/hy3dgen/shapegen/models/autoencoders/model.py +# Since the header on their VAE source file was a bit confusing we asked for permission to use this code from tencent under the GPL license used in ComfyUI. + +import torch +import torch.nn as nn +import torch.nn.functional as F +import numpy as np +import math +from tqdm import tqdm + +from typing import Optional + +import logging + +import comfy.ops +ops = comfy.ops.disable_weight_init + +def fps(src: torch.Tensor, batch: torch.Tensor, sampling_ratio: float, start_random: bool = True): + + # manually create the pointer vector + assert src.size(0) == batch.numel() + + batch_size = int(batch.max()) + 1 + deg = src.new_zeros(batch_size, dtype = torch.long) + + deg.scatter_add_(0, batch, torch.ones_like(batch)) + + ptr_vec = deg.new_zeros(batch_size + 1) + torch.cumsum(deg, 0, out=ptr_vec[1:]) + + #return fps_sampling(src, ptr_vec, ratio) + sampled_indicies = [] + + for b in range(batch_size): + # start and the end of each batch + start, end = ptr_vec[b].item(), ptr_vec[b + 1].item() + # points from the point cloud + points = src[start:end] + + num_points = points.size(0) + num_samples = max(1, math.ceil(num_points * sampling_ratio)) + + selected = torch.zeros(num_samples, device = src.device, dtype = torch.long) + distances = torch.full((num_points,), float("inf"), device = src.device) + + # select a random start point + if start_random: + farthest = torch.randint(0, num_points, (1,), device = src.device) + else: + farthest = torch.tensor([0], device = src.device, dtype = torch.long) + + for i in range(num_samples): + selected[i] = farthest + centroid = points[farthest].squeeze(0) + dist = torch.norm(points - centroid, dim = 1) # compute euclidean distance + distances = torch.minimum(distances, dist) + farthest = torch.argmax(distances) + + sampled_indicies.append(torch.arange(start, end)[selected]) + + return torch.cat(sampled_indicies, dim = 0) +class PointCrossAttention(nn.Module): + def __init__(self, + num_latents: int, + downsample_ratio: float, + pc_size: int, + pc_sharpedge_size: int, + point_feats: int, + width: int, + heads: int, + layers: int, + fourier_embedder, + normal_pe: bool = False, + qkv_bias: bool = False, + use_ln_post: bool = True, + qk_norm: bool = True): + + super().__init__() + + self.fourier_embedder = fourier_embedder + + self.pc_size = pc_size + self.normal_pe = normal_pe + self.downsample_ratio = downsample_ratio + self.pc_sharpedge_size = pc_sharpedge_size + self.num_latents = num_latents + self.point_feats = point_feats + + self.input_proj = nn.Linear(self.fourier_embedder.out_dim + point_feats, width) + + self.cross_attn = ResidualCrossAttentionBlock( + width = width, + heads = heads, + qkv_bias = qkv_bias, + qk_norm = qk_norm + ) + + self.self_attn = None + if layers > 0: + self.self_attn = Transformer( + width = width, + heads = heads, + qkv_bias = qkv_bias, + qk_norm = qk_norm, + layers = layers + ) + + if use_ln_post: + self.ln_post = nn.LayerNorm(width) + else: + self.ln_post = None + + def sample_points_and_latents(self, point_cloud: torch.Tensor, features: torch.Tensor): + + """ + Subsample points randomly from the point cloud (input_pc) + Further sample the subsampled points to get query_pc + take the fourier embeddings for both input and query pc + + Mental Note: FPS-sampled points (query_pc) act as latent tokens that attend to and learn from the broader context in input_pc. + Goal: get a smaller represenation (query_pc) to represent the entire scence structure by learning from a broader subset (input_pc). + More computationally efficient. + + Features are additional information for each point in the cloud + """ + + B, _, D = point_cloud.shape + + num_latents = int(self.num_latents) + + num_random_query = self.pc_size / (self.pc_size + self.pc_sharpedge_size) * num_latents + num_sharpedge_query = num_latents - num_random_query + + # Split random and sharpedge surface points + random_pc, sharpedge_pc = torch.split(point_cloud, [self.pc_size, self.pc_sharpedge_size], dim=1) + + # assert statements + assert random_pc.shape[1] <= self.pc_size, "Random surface points size must be less than or equal to pc_size" + assert sharpedge_pc.shape[1] <= self.pc_sharpedge_size, "Sharpedge surface points size must be less than or equal to pc_sharpedge_size" + + input_random_pc_size = int(num_random_query * self.downsample_ratio) + random_query_pc, random_input_pc, random_idx_pc, random_idx_query = \ + self.subsample(pc = random_pc, num_query = num_random_query, input_pc_size = input_random_pc_size) + + input_sharpedge_pc_size = int(num_sharpedge_query * self.downsample_ratio) + + if input_sharpedge_pc_size == 0: + sharpedge_input_pc = torch.zeros(B, 0, D, dtype = random_input_pc.dtype).to(point_cloud.device) + sharpedge_query_pc = torch.zeros(B, 0, D, dtype= random_query_pc.dtype).to(point_cloud.device) + + else: + sharpedge_query_pc, sharpedge_input_pc, sharpedge_idx_pc, sharpedge_idx_query = \ + self.subsample(pc = sharpedge_pc, num_query = num_sharpedge_query, input_pc_size = input_sharpedge_pc_size) + + # concat the random and sharpedges + query_pc = torch.cat([random_query_pc, sharpedge_query_pc], dim = 1) + input_pc = torch.cat([random_input_pc, sharpedge_input_pc], dim = 1) + + query = self.fourier_embedder(query_pc) + data = self.fourier_embedder(input_pc) + + if self.point_feats > 0: + random_surface_features, sharpedge_surface_features = torch.split(features, [self.pc_size, self.pc_sharpedge_size], dim = 1) + + input_random_surface_features, query_random_features = \ + self.handle_features(features = random_surface_features, idx_pc = random_idx_pc, batch_size = B, + input_pc_size = input_random_pc_size, idx_query = random_idx_query) + + if input_sharpedge_pc_size == 0: + input_sharpedge_surface_features = torch.zeros(B, 0, self.point_feats, + dtype = input_random_surface_features.dtype, device = point_cloud.device) + + query_sharpedge_features = torch.zeros(B, 0, self.point_feats, + dtype = query_random_features.dtype, device = point_cloud.device) + else: + + input_sharpedge_surface_features, query_sharpedge_features = \ + self.handle_features(idx_pc = sharpedge_idx_pc, features = sharpedge_surface_features, + batch_size = B, idx_query = sharpedge_idx_query, input_pc_size = input_sharpedge_pc_size) + + query_features = torch.cat([query_random_features, query_sharpedge_features], dim = 1) + input_features = torch.cat([input_random_surface_features, input_sharpedge_surface_features], dim = 1) + + if self.normal_pe: + # apply the fourier embeddings on the first 3 dims (xyz) + input_features_pe = self.fourier_embedder(input_features[..., :3]) + query_features_pe = self.fourier_embedder(query_features[..., :3]) + # replace the first 3 dims with the new PE ones + input_features = torch.cat([input_features_pe, input_features[..., :3]], dim = -1) + query_features = torch.cat([query_features_pe, query_features[..., :3]], dim = -1) + + # concat at the channels dim + query = torch.cat([query, query_features], dim = -1) + data = torch.cat([data, input_features], dim = -1) + + # don't return pc_info to avoid unnecessary memory usuage + return query.view(B, -1, query.shape[-1]), data.view(B, -1, data.shape[-1]) + + def forward(self, point_cloud: torch.Tensor, features: torch.Tensor): + + query, data = self.sample_points_and_latents(point_cloud = point_cloud, features = features) + + # apply projections + query = self.input_proj(query) + data = self.input_proj(data) + + # apply cross attention between query and data + latents = self.cross_attn(query, data) + + if self.self_attn is not None: + latents = self.self_attn(latents) + + if self.ln_post is not None: + latents = self.ln_post(latents) + + return latents + + + def subsample(self, pc, num_query, input_pc_size: int): + + """ + num_query: number of points to keep after FPS + input_pc_size: number of points to select before FPS + """ + + B, _, D = pc.shape + query_ratio = num_query / input_pc_size + + # random subsampling of points inside the point cloud + idx_pc = torch.randperm(pc.shape[1], device = pc.device)[:input_pc_size] + input_pc = pc[:, idx_pc, :] + + # flatten to allow applying fps across the whole batch + flattent_input_pc = input_pc.view(B * input_pc_size, D) + + # construct a batch_down tensor to tell fps + # which points belong to which batch + N_down = int(flattent_input_pc.shape[0] / B) + batch_down = torch.arange(B).to(pc.device) + batch_down = torch.repeat_interleave(batch_down, N_down) + + idx_query = fps(flattent_input_pc, batch_down, sampling_ratio = query_ratio) + query_pc = flattent_input_pc[idx_query].view(B, -1, D) + + return query_pc, input_pc, idx_pc, idx_query + + def handle_features(self, features, idx_pc, input_pc_size, batch_size: int, idx_query): + + B = batch_size + + input_surface_features = features[:, idx_pc, :] + flattent_input_features = input_surface_features.view(B * input_pc_size, -1) + query_features = flattent_input_features[idx_query].view(B, -1, + flattent_input_features.shape[-1]) + + return input_surface_features, query_features + +def normalize_mesh(mesh, scale = 0.9999): + """Normalize mesh to fit in [-scale, scale]. Translate mesh so its center is [0,0,0]""" + + bbox = mesh.bounds + center = (bbox[1] + bbox[0]) / 2 + + max_extent = (bbox[1] - bbox[0]).max() + mesh.apply_translation(-center) + mesh.apply_scale((2 * scale) / max_extent) + + return mesh + +def sample_pointcloud(mesh, num = 200000): + """ Uniformly sample points from the surface of the mesh """ + + points, face_idx = mesh.sample(num, return_index = True) + normals = mesh.face_normals[face_idx] + return torch.from_numpy(points.astype(np.float32)), torch.from_numpy(normals.astype(np.float32)) + +def detect_sharp_edges(mesh, threshold=0.985): + """Return edge indices (a, b) that lie on sharp boundaries of the mesh.""" + + V, F = mesh.vertices, mesh.faces + VN, FN = mesh.vertex_normals, mesh.face_normals + + sharp_mask = np.ones(V.shape[0]) + for i in range(3): + indices = F[:, i] + alignment = np.einsum('ij,ij->i', VN[indices], FN) + dot_stack = np.stack((sharp_mask[indices], alignment), axis=-1) + sharp_mask[indices] = np.min(dot_stack, axis=-1) + + edge_a = np.concatenate([F[:, 0], F[:, 1], F[:, 2]]) + edge_b = np.concatenate([F[:, 1], F[:, 2], F[:, 0]]) + sharp_edges = (sharp_mask[edge_a] < threshold) & (sharp_mask[edge_b] < threshold) + + return edge_a[sharp_edges], edge_b[sharp_edges] + + +def sharp_sample_pointcloud(mesh, num = 16384): + """ Sample points preferentially from sharp edges in the mesh. """ + + edge_a, edge_b = detect_sharp_edges(mesh) + V, VN = mesh.vertices, mesh.vertex_normals + + va, vb = V[edge_a], V[edge_b] + na, nb = VN[edge_a], VN[edge_b] + + edge_lengths = np.linalg.norm(vb - va, axis=-1) + weights = edge_lengths / edge_lengths.sum() + + indices = np.searchsorted(np.cumsum(weights), np.random.rand(num)) + t = np.random.rand(num, 1) + + samples = t * va[indices] + (1 - t) * vb[indices] + normals = t * na[indices] + (1 - t) * nb[indices] + + return samples.astype(np.float32), normals.astype(np.float32) + +def load_surface_sharpedge(mesh, num_points=4096, num_sharp_points=4096, sharpedge_flag = True, device = "cuda"): + """Load a surface with optional sharp-edge annotations from a trimesh mesh.""" + + import trimesh + + try: + mesh_full = trimesh.util.concatenate(mesh.dump()) + except Exception: + mesh_full = trimesh.util.concatenate(mesh) + + mesh_full = normalize_mesh(mesh_full) + + faces = mesh_full.faces + vertices = mesh_full.vertices + origin_face_count = faces.shape[0] + + mesh_surface = trimesh.Trimesh(vertices=vertices, faces=faces[:origin_face_count]) + mesh_fill = trimesh.Trimesh(vertices=vertices, faces=faces[origin_face_count:]) + + area_surface = mesh_surface.area + area_fill = mesh_fill.area + total_area = area_surface + area_fill + + sample_num = 499712 // 2 + fill_ratio = area_fill / total_area if total_area > 0 else 0 + + num_fill = int(sample_num * fill_ratio) + num_surface = sample_num - num_fill + + surf_pts, surf_normals = sample_pointcloud(mesh_surface, num_surface) + fill_pts, fill_normals = (torch.zeros(0, 3), torch.zeros(0, 3)) if num_fill == 0 else sample_pointcloud(mesh_fill, num_fill) + + sharp_pts, sharp_normals = sharp_sample_pointcloud(mesh_surface, sample_num) + + def assemble_tensor(points, normals, label=None): + + data = torch.cat([points, normals], dim=1).half().to(device) + + if label is not None: + label_tensor = torch.full((data.shape[0], 1), float(label), dtype=torch.float16).to(device) + data = torch.cat([data, label_tensor], dim=1) + + return data + + surface = assemble_tensor(torch.cat([surf_pts.to(device), fill_pts.to(device)], dim=0), + torch.cat([surf_normals.to(device), fill_normals.to(device)], dim=0), + label = 0 if sharpedge_flag else None) + + sharp_surface = assemble_tensor(torch.from_numpy(sharp_pts), torch.from_numpy(sharp_normals), + label = 1 if sharpedge_flag else None) + + rng = np.random.default_rng() + + surface = surface[rng.choice(surface.shape[0], num_points, replace = False)] + sharp_surface = sharp_surface[rng.choice(sharp_surface.shape[0], num_sharp_points, replace = False)] + + full = torch.cat([surface, sharp_surface], dim = 0).unsqueeze(0) + + return full + +class SharpEdgeSurfaceLoader: + """ Load mesh surface and sharp edge samples. """ + + def __init__(self, num_uniform_points = 8192, num_sharp_points = 8192): + + self.num_uniform_points = num_uniform_points + self.num_sharp_points = num_sharp_points + self.total_points = num_uniform_points + num_sharp_points + + def __call__(self, mesh_input, device = "cuda"): + mesh = self._load_mesh(mesh_input) + return load_surface_sharpedge(mesh, self.num_uniform_points, self.num_sharp_points, device = device) + + @staticmethod + def _load_mesh(mesh_input): + import trimesh + + if isinstance(mesh_input, str): + mesh = trimesh.load(mesh_input, force="mesh", merge_primitives = True) + else: + mesh = mesh_input + + if isinstance(mesh, trimesh.Scene): + combined = None + for obj in mesh.geometry.values(): + combined = obj if combined is None else combined + obj + return combined + + return mesh + +class DiagonalGaussianDistribution: + def __init__(self, params: torch.Tensor, feature_dim: int = -1): + + # divide quant channels (8) into mean and log variance + self.mean, self.logvar = torch.chunk(params, 2, dim = feature_dim) + + self.logvar = torch.clamp(self.logvar, -30.0, 20.0) + self.std = torch.exp(0.5 * self.logvar) + + def sample(self): + + eps = torch.randn_like(self.std) + z = self.mean + eps * self.std + + return z + +################################################ +# Volume Decoder +################################################ + +class VanillaVolumeDecoder(): + @torch.no_grad() + def __call__(self, latents: torch.Tensor, geo_decoder: callable, octree_resolution: int, bounds = 1.01, + num_chunks: int = 10_000, enable_pbar: bool = True, **kwargs): + + if isinstance(bounds, float): + bounds = [-bounds, -bounds, -bounds, bounds, bounds, bounds] + + bbox_min, bbox_max = torch.tensor(bounds[:3]), torch.tensor(bounds[3:]) + + x = torch.linspace(bbox_min[0], bbox_max[0], int(octree_resolution) + 1, dtype = torch.float32) + y = torch.linspace(bbox_min[1], bbox_max[1], int(octree_resolution) + 1, dtype = torch.float32) + z = torch.linspace(bbox_min[2], bbox_max[2], int(octree_resolution) + 1, dtype = torch.float32) + + [xs, ys, zs] = torch.meshgrid(x, y, z, indexing = "ij") + xyz = torch.stack((xs, ys, zs), axis=-1).to(latents.device, dtype = latents.dtype).contiguous().reshape(-1, 3) + grid_size = [int(octree_resolution) + 1, int(octree_resolution) + 1, int(octree_resolution) + 1] + + batch_logits = [] + for start in tqdm(range(0, xyz.shape[0], num_chunks), desc="Volume Decoding", + disable=not enable_pbar): + + chunk_queries = xyz[start: start + num_chunks, :] + chunk_queries = chunk_queries.unsqueeze(0).repeat(latents.shape[0], 1, 1) + logits = geo_decoder(queries = chunk_queries, latents = latents) + batch_logits.append(logits) + + grid_logits = torch.cat(batch_logits, dim = 1) + grid_logits = grid_logits.view((latents.shape[0], *grid_size)).float() + + return grid_logits + +class FourierEmbedder(nn.Module): + """The sin/cosine positional embedding. Given an input tensor `x` of shape [n_batch, ..., c_dim], it converts + each feature dimension of `x[..., i]` into: + [ + sin(x[..., i]), + sin(f_1*x[..., i]), + sin(f_2*x[..., i]), + ... + sin(f_N * x[..., i]), + cos(x[..., i]), + cos(f_1*x[..., i]), + cos(f_2*x[..., i]), + ... + cos(f_N * x[..., i]), + x[..., i] # only present if include_input is True. + ], here f_i is the frequency. + + Denote the space is [0 / num_freqs, 1 / num_freqs, 2 / num_freqs, 3 / num_freqs, ..., (num_freqs - 1) / num_freqs]. + If logspace is True, then the frequency f_i is [2^(0 / num_freqs), ..., 2^(i / num_freqs), ...]; + Otherwise, the frequencies are linearly spaced between [1.0, 2^(num_freqs - 1)]. + + Args: + num_freqs (int): the number of frequencies, default is 6; + logspace (bool): If logspace is True, then the frequency f_i is [..., 2^(i / num_freqs), ...], + otherwise, the frequencies are linearly spaced between [1.0, 2^(num_freqs - 1)]; + input_dim (int): the input dimension, default is 3; + include_input (bool): include the input tensor or not, default is True. + + Attributes: + frequencies (torch.Tensor): If logspace is True, then the frequency f_i is [..., 2^(i / num_freqs), ...], + otherwise, the frequencies are linearly spaced between [1.0, 2^(num_freqs - 1); + + out_dim (int): the embedding size, if include_input is True, it is input_dim * (num_freqs * 2 + 1), + otherwise, it is input_dim * num_freqs * 2. + + """ + + def __init__(self, + num_freqs: int = 6, + logspace: bool = True, + input_dim: int = 3, + include_input: bool = True, + include_pi: bool = True) -> None: + + """The initialization""" + + super().__init__() + + if logspace: + frequencies = 2.0 ** torch.arange( + num_freqs, + dtype=torch.float32 + ) + else: + frequencies = torch.linspace( + 1.0, + 2.0 ** (num_freqs - 1), + num_freqs, + dtype=torch.float32 + ) + + if include_pi: + frequencies *= torch.pi + + self.register_buffer("frequencies", frequencies, persistent=False) + self.include_input = include_input + self.num_freqs = num_freqs + + self.out_dim = self.get_dims(input_dim) + + def get_dims(self, input_dim): + temp = 1 if self.include_input or self.num_freqs == 0 else 0 + out_dim = input_dim * (self.num_freqs * 2 + temp) + + return out_dim + + def forward(self, x: torch.Tensor) -> torch.Tensor: + """ Forward process. + + Args: + x: tensor of shape [..., dim] + + Returns: + embedding: an embedding of `x` of shape [..., dim * (num_freqs * 2 + temp)] + where temp is 1 if include_input is True and 0 otherwise. + """ + + if self.num_freqs > 0: + embed = (x[..., None].contiguous() * self.frequencies.to(device=x.device, dtype=x.dtype)).view(*x.shape[:-1], -1) + if self.include_input: + return torch.cat((x, embed.sin(), embed.cos()), dim=-1) + else: + return torch.cat((embed.sin(), embed.cos()), dim=-1) + else: + return x + +class CrossAttentionProcessor: + def __call__(self, attn, q, k, v): + out = comfy.ops.scaled_dot_product_attention(q, k, v) + return out + +class DropPath(nn.Module): + """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). + """ + + def __init__(self, drop_prob: float = 0., scale_by_keep: bool = True): + super(DropPath, self).__init__() + self.drop_prob = drop_prob + self.scale_by_keep = scale_by_keep + + def forward(self, x): + """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). + + This is the same as the DropConnect impl I created for EfficientNet, etc networks, however, + the original name is misleading as 'Drop Connect' is a different form of dropout in a separate paper... + See discussion: https://github.com/tensorflow/tpu/issues/494#issuecomment-532968956 ... I've opted for + changing the layer and argument names to 'drop path' rather than mix DropConnect as a layer name and use + 'survival rate' as the argument. + + """ + if self.drop_prob == 0. or not self.training: + return x + keep_prob = 1 - self.drop_prob + shape = (x.shape[0],) + (1,) * (x.ndim - 1) # work with diff dim tensors, not just 2D ConvNets + random_tensor = x.new_empty(shape).bernoulli_(keep_prob) + if keep_prob > 0.0 and self.scale_by_keep: + random_tensor.div_(keep_prob) + return x * random_tensor + + def extra_repr(self): + return f'drop_prob={round(self.drop_prob, 3):0.3f}' + + +class MLP(nn.Module): + def __init__( + self, *, + width: int, + expand_ratio: int = 4, + output_width: int = None, + drop_path_rate: float = 0.0 + ): + super().__init__() + self.width = width + self.c_fc = ops.Linear(width, width * expand_ratio) + self.c_proj = ops.Linear(width * expand_ratio, output_width if output_width is not None else width) + self.gelu = nn.GELU() + self.drop_path = DropPath(drop_path_rate) if drop_path_rate > 0. else nn.Identity() + + def forward(self, x): + return self.drop_path(self.c_proj(self.gelu(self.c_fc(x)))) + +class QKVMultiheadCrossAttention(nn.Module): + def __init__( + self, + heads: int, + n_data = None, + width=None, + qk_norm=False, + norm_layer=ops.LayerNorm + ): + super().__init__() + self.heads = heads + self.n_data = n_data + self.q_norm = norm_layer(width // heads, elementwise_affine=True, eps=1e-6) if qk_norm else nn.Identity() + self.k_norm = norm_layer(width // heads, elementwise_affine=True, eps=1e-6) if qk_norm else nn.Identity() + + def forward(self, q, kv): + + _, n_ctx, _ = q.shape + bs, n_data, width = kv.shape + + attn_ch = width // self.heads // 2 + q = q.view(bs, n_ctx, self.heads, -1) + + kv = kv.view(bs, n_data, self.heads, -1) + k, v = torch.split(kv, attn_ch, dim=-1) + + q = self.q_norm(q) + k = self.k_norm(k) + + q, k, v = [t.permute(0, 2, 1, 3) for t in (q, k, v)] + out = F.scaled_dot_product_attention(q, k, v) + + out = out.transpose(1, 2).reshape(bs, n_ctx, -1) + + return out + +class MultiheadCrossAttention(nn.Module): + def __init__( + self, + *, + width: int, + heads: int, + qkv_bias: bool = True, + data_width: Optional[int] = None, + norm_layer=ops.LayerNorm, + qk_norm: bool = False, + kv_cache: bool = False, + ): + super().__init__() + self.width = width + self.heads = heads + self.data_width = width if data_width is None else data_width + self.c_q = ops.Linear(width, width, bias=qkv_bias) + self.c_kv = ops.Linear(self.data_width, width * 2, bias=qkv_bias) + self.c_proj = ops.Linear(width, width) + self.attention = QKVMultiheadCrossAttention( + heads=heads, + width=width, + norm_layer=norm_layer, + qk_norm=qk_norm + ) + self.kv_cache = kv_cache + self.data = None + + def forward(self, x, data): + x = self.c_q(x) + if self.kv_cache: + if self.data is None: + self.data = self.c_kv(data) + logging.info('Save kv cache,this should be called only once for one mesh') + data = self.data + else: + data = self.c_kv(data) + x = self.attention(x, data) + x = self.c_proj(x) + return x + +class ResidualCrossAttentionBlock(nn.Module): + def __init__( + self, + *, + width: int, + heads: int, + mlp_expand_ratio: int = 4, + data_width: Optional[int] = None, + qkv_bias: bool = True, + norm_layer=ops.LayerNorm, + qk_norm: bool = False + ): + super().__init__() + + if data_width is None: + data_width = width + + self.attn = MultiheadCrossAttention( + width=width, + heads=heads, + data_width=data_width, + qkv_bias=qkv_bias, + norm_layer=norm_layer, + qk_norm=qk_norm + ) + self.ln_1 = norm_layer(width, elementwise_affine=True, eps=1e-6) + self.ln_2 = norm_layer(data_width, elementwise_affine=True, eps=1e-6) + self.ln_3 = norm_layer(width, elementwise_affine=True, eps=1e-6) + self.mlp = MLP(width=width, expand_ratio=mlp_expand_ratio) + + def forward(self, x: torch.Tensor, data: torch.Tensor): + x = x + self.attn(self.ln_1(x), self.ln_2(data)) + x = x + self.mlp(self.ln_3(x)) + return x + + +class QKVMultiheadAttention(nn.Module): + def __init__( + self, + *, + heads: int, + width=None, + qk_norm=False, + norm_layer=ops.LayerNorm + ): + super().__init__() + self.heads = heads + self.q_norm = norm_layer(width // heads, elementwise_affine=True, eps=1e-6) if qk_norm else nn.Identity() + self.k_norm = norm_layer(width // heads, elementwise_affine=True, eps=1e-6) if qk_norm else nn.Identity() + + def forward(self, qkv): + bs, n_ctx, width = qkv.shape + attn_ch = width // self.heads // 3 + qkv = qkv.view(bs, n_ctx, self.heads, -1) + q, k, v = torch.split(qkv, attn_ch, dim=-1) + + q = self.q_norm(q) + k = self.k_norm(k) + + q, k, v = [t.permute(0, 2, 1, 3) for t in (q, k, v)] + out = F.scaled_dot_product_attention(q, k, v).transpose(1, 2).reshape(bs, n_ctx, -1) + return out + + +class MultiheadAttention(nn.Module): + def __init__( + self, + *, + width: int, + heads: int, + qkv_bias: bool, + norm_layer=ops.LayerNorm, + qk_norm: bool = False, + drop_path_rate: float = 0.0 + ): + super().__init__() + + self.c_qkv = ops.Linear(width, width * 3, bias=qkv_bias) + self.c_proj = ops.Linear(width, width) + self.attention = QKVMultiheadAttention( + heads=heads, + width=width, + norm_layer=norm_layer, + qk_norm=qk_norm + ) + self.drop_path = DropPath(drop_path_rate) if drop_path_rate > 0. else nn.Identity() + + def forward(self, x): + x = self.c_qkv(x) + x = self.attention(x) + x = self.drop_path(self.c_proj(x)) + return x + + +class ResidualAttentionBlock(nn.Module): + def __init__( + self, + *, + width: int, + heads: int, + qkv_bias: bool = True, + norm_layer=ops.LayerNorm, + qk_norm: bool = False, + drop_path_rate: float = 0.0, + ): + super().__init__() + self.attn = MultiheadAttention( + width=width, + heads=heads, + qkv_bias=qkv_bias, + norm_layer=norm_layer, + qk_norm=qk_norm, + drop_path_rate=drop_path_rate + ) + self.ln_1 = norm_layer(width, elementwise_affine=True, eps=1e-6) + self.mlp = MLP(width=width, drop_path_rate=drop_path_rate) + self.ln_2 = norm_layer(width, elementwise_affine=True, eps=1e-6) + + def forward(self, x: torch.Tensor): + x = x + self.attn(self.ln_1(x)) + x = x + self.mlp(self.ln_2(x)) + return x + + +class Transformer(nn.Module): + def __init__( + self, + *, + width: int, + layers: int, + heads: int, + qkv_bias: bool = True, + norm_layer=ops.LayerNorm, + qk_norm: bool = False, + drop_path_rate: float = 0.0 + ): + super().__init__() + self.width = width + self.layers = layers + self.resblocks = nn.ModuleList( + [ + ResidualAttentionBlock( + width=width, + heads=heads, + qkv_bias=qkv_bias, + norm_layer=norm_layer, + qk_norm=qk_norm, + drop_path_rate=drop_path_rate + ) + for _ in range(layers) + ] + ) + + def forward(self, x: torch.Tensor): + for block in self.resblocks: + x = block(x) + return x + + +class CrossAttentionDecoder(nn.Module): + + def __init__( + self, + *, + out_channels: int, + fourier_embedder: FourierEmbedder, + width: int, + heads: int, + mlp_expand_ratio: int = 4, + downsample_ratio: int = 1, + enable_ln_post: bool = True, + qkv_bias: bool = True, + qk_norm: bool = False, + label_type: str = "binary" + ): + super().__init__() + + self.enable_ln_post = enable_ln_post + self.fourier_embedder = fourier_embedder + self.downsample_ratio = downsample_ratio + self.query_proj = ops.Linear(self.fourier_embedder.out_dim, width) + if self.downsample_ratio != 1: + self.latents_proj = ops.Linear(width * downsample_ratio, width) + if not self.enable_ln_post: + qk_norm = False + self.cross_attn_decoder = ResidualCrossAttentionBlock( + width=width, + mlp_expand_ratio=mlp_expand_ratio, + heads=heads, + qkv_bias=qkv_bias, + qk_norm=qk_norm + ) + + if self.enable_ln_post: + self.ln_post = ops.LayerNorm(width) + self.output_proj = ops.Linear(width, out_channels) + self.label_type = label_type + self.count = 0 + + def forward(self, queries=None, query_embeddings=None, latents=None): + if query_embeddings is None: + query_embeddings = self.query_proj(self.fourier_embedder(queries).to(latents.dtype)) + self.count += query_embeddings.shape[1] + if self.downsample_ratio != 1: + latents = self.latents_proj(latents) + x = self.cross_attn_decoder(query_embeddings, latents) + if self.enable_ln_post: + x = self.ln_post(x) + occ = self.output_proj(x) + return occ + + +class ShapeVAE(nn.Module): + def __init__( + self, + *, + num_latents: int = 4096, + embed_dim: int = 64, + width: int = 1024, + heads: int = 16, + num_decoder_layers: int = 16, + num_encoder_layers: int = 8, + pc_size: int = 81920, + pc_sharpedge_size: int = 0, + point_feats: int = 4, + downsample_ratio: int = 20, + geo_decoder_downsample_ratio: int = 1, + geo_decoder_mlp_expand_ratio: int = 4, + geo_decoder_ln_post: bool = True, + num_freqs: int = 8, + qkv_bias: bool = False, + qk_norm: bool = True, + drop_path_rate: float = 0.0, + include_pi: bool = False, + scale_factor: float = 1.0039506158752403, + label_type: str = "binary", + ): + super().__init__() + self.geo_decoder_ln_post = geo_decoder_ln_post + + self.fourier_embedder = FourierEmbedder(num_freqs=num_freqs, include_pi=include_pi) + + self.encoder = PointCrossAttention(layers = num_encoder_layers, + num_latents = num_latents, + downsample_ratio = downsample_ratio, + heads = heads, + pc_size = pc_size, + width = width, + point_feats = point_feats, + fourier_embedder = self.fourier_embedder, + pc_sharpedge_size = pc_sharpedge_size) + + self.post_kl = ops.Linear(embed_dim, width) + + self.transformer = Transformer( + width=width, + layers=num_decoder_layers, + heads=heads, + qkv_bias=qkv_bias, + qk_norm=qk_norm, + drop_path_rate=drop_path_rate + ) + + self.geo_decoder = CrossAttentionDecoder( + fourier_embedder=self.fourier_embedder, + out_channels=1, + mlp_expand_ratio=geo_decoder_mlp_expand_ratio, + downsample_ratio=geo_decoder_downsample_ratio, + enable_ln_post=self.geo_decoder_ln_post, + width=width // geo_decoder_downsample_ratio, + heads=heads // geo_decoder_downsample_ratio, + qkv_bias=qkv_bias, + qk_norm=qk_norm, + label_type=label_type, + ) + + self.volume_decoder = VanillaVolumeDecoder() + self.scale_factor = scale_factor + + def decode(self, latents, **kwargs): + latents = self.post_kl(latents.movedim(-2, -1)) + latents = self.transformer(latents) + + bounds = kwargs.get("bounds", 1.01) + num_chunks = kwargs.get("num_chunks", 8000) + octree_resolution = kwargs.get("octree_resolution", 256) + enable_pbar = kwargs.get("enable_pbar", True) + + grid_logits = self.volume_decoder(latents, self.geo_decoder, bounds=bounds, num_chunks=num_chunks, octree_resolution=octree_resolution, enable_pbar=enable_pbar) + return grid_logits.movedim(-2, -1) + + def encode(self, surface): + + pc, feats = surface[:, :, :3], surface[:, :, 3:] + latents = self.encoder(pc, feats) + + moments = self.pre_kl(latents) + posterior = DiagonalGaussianDistribution(moments, feature_dim = -1) + + latents = posterior.sample() + + return latents diff --git a/comfy/ldm/hunyuan3dv2_1/hunyuandit.py b/comfy/ldm/hunyuan3dv2_1/hunyuandit.py new file mode 100644 index 0000000000000000000000000000000000000000..d48d9d64209c0046aeb0e9ced28ae0fb96ecb857 --- /dev/null +++ b/comfy/ldm/hunyuan3dv2_1/hunyuandit.py @@ -0,0 +1,659 @@ +import math +import torch +import torch.nn as nn +import torch.nn.functional as F +from comfy.ldm.modules.attention import optimized_attention +import comfy.model_management + +class GELU(nn.Module): + + def __init__(self, dim_in: int, dim_out: int, operations, device, dtype): + super().__init__() + self.proj = operations.Linear(dim_in, dim_out, device = device, dtype = dtype) + + def gelu(self, gate: torch.Tensor) -> torch.Tensor: + + if gate.device.type == "mps": + return F.gelu(gate.to(dtype = torch.float32)).to(dtype = gate.dtype) + + return F.gelu(gate) + + def forward(self, hidden_states): + + hidden_states = self.proj(hidden_states) + hidden_states = self.gelu(hidden_states) + + return hidden_states + +class FeedForward(nn.Module): + + def __init__(self, dim: int, dim_out = None, mult: int = 4, + dropout: float = 0.0, inner_dim = None, operations = None, device = None, dtype = None): + + super().__init__() + if inner_dim is None: + inner_dim = int(dim * mult) + + dim_out = dim_out if dim_out is not None else dim + + act_fn = GELU(dim, inner_dim, operations = operations, device = device, dtype = dtype) + + self.net = nn.ModuleList([]) + self.net.append(act_fn) + + self.net.append(nn.Dropout(dropout)) + self.net.append(operations.Linear(inner_dim, dim_out, device = device, dtype = dtype)) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + for module in self.net: + hidden_states = module(hidden_states) + return hidden_states + +class AddAuxLoss(torch.autograd.Function): + + @staticmethod + def forward(ctx, x, loss): + # do nothing in forward (no computation) + ctx.requires_aux_loss = loss.requires_grad + ctx.dtype = loss.dtype + + return x + + @staticmethod + def backward(ctx, grad_output): + # add the aux loss gradients + grad_loss = None + # put the aux grad the same as the main grad loss + # aux grad contributes equally + if ctx.requires_aux_loss: + grad_loss = torch.ones(1, dtype = ctx.dtype, device = grad_output.device) + + return grad_output, grad_loss + +class MoEGate(nn.Module): + + def __init__(self, embed_dim, num_experts=16, num_experts_per_tok=2, aux_loss_alpha=0.01, device = None, dtype = None): + + super().__init__() + self.top_k = num_experts_per_tok + self.n_routed_experts = num_experts + + self.alpha = aux_loss_alpha + + self.gating_dim = embed_dim + self.weight = nn.Parameter(torch.empty((self.n_routed_experts, self.gating_dim), device = device, dtype = dtype)) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + + # flatten hidden states + hidden_states = hidden_states.view(-1, hidden_states.size(-1)) + + # get logits and pass it to softmax + logits = F.linear(hidden_states, comfy.model_management.cast_to(self.weight, dtype=hidden_states.dtype, device=hidden_states.device), bias = None) + scores = logits.softmax(dim = -1) + + topk_weight, topk_idx = torch.topk(scores, k = self.top_k, dim = -1, sorted = False) + + if self.training and self.alpha > 0.0: + scores_for_aux = scores + + # used bincount instead of one hot encoding + counts = torch.bincount(topk_idx.view(-1), minlength = self.n_routed_experts).float() + ce = counts / topk_idx.numel() # normalized expert usage + + # mean expert score + Pi = scores_for_aux.mean(0) + + # expert balance loss + aux_loss = (Pi * ce * self.n_routed_experts).sum() * self.alpha + else: + aux_loss = None + + return topk_idx, topk_weight, aux_loss + +class MoEBlock(nn.Module): + def __init__(self, dim, num_experts: int = 6, moe_top_k: int = 2, dropout: float = 0.0, + ff_inner_dim: int = None, operations = None, device = None, dtype = None): + super().__init__() + + self.moe_top_k = moe_top_k + self.num_experts = num_experts + + self.experts = nn.ModuleList([ + FeedForward(dim, dropout = dropout, inner_dim = ff_inner_dim, operations = operations, device = device, dtype = dtype) + for _ in range(num_experts) + ]) + + self.gate = MoEGate(dim, num_experts = num_experts, num_experts_per_tok = moe_top_k, device = device, dtype = dtype) + self.shared_experts = FeedForward(dim, dropout = dropout, inner_dim = ff_inner_dim, operations = operations, device = device, dtype = dtype) + + def forward(self, hidden_states) -> torch.Tensor: + + identity = hidden_states + orig_shape = hidden_states.shape + topk_idx, topk_weight, aux_loss = self.gate(hidden_states) + + hidden_states = hidden_states.view(-1, hidden_states.shape[-1]) + flat_topk_idx = topk_idx.view(-1) + + if self.training: + + hidden_states = hidden_states.repeat_interleave(self.moe_top_k, dim = 0) + y = torch.empty_like(hidden_states, dtype = hidden_states.dtype) + + for i, expert in enumerate(self.experts): + tmp = expert(hidden_states[flat_topk_idx == i]) + y[flat_topk_idx == i] = tmp.to(hidden_states.dtype) + + y = (y.view(*topk_weight.shape, -1) * topk_weight.unsqueeze(-1)).sum(dim = 1) + y = y.view(*orig_shape) + + y = AddAuxLoss.apply(y, aux_loss) + else: + y = self.moe_infer(hidden_states, flat_expert_indices = flat_topk_idx,flat_expert_weights = topk_weight.view(-1, 1)).view(*orig_shape) + + y = y + self.shared_experts(identity) + + return y + + @torch.no_grad() + def moe_infer(self, x, flat_expert_indices, flat_expert_weights): + + expert_cache = torch.zeros_like(x) + idxs = flat_expert_indices.argsort() + + # no need for .numpy().cpu() here + tokens_per_expert = flat_expert_indices.bincount().cumsum(0) + token_idxs = idxs // self.moe_top_k + + for i, end_idx in enumerate(tokens_per_expert): + + start_idx = 0 if i == 0 else tokens_per_expert[i-1] + + if start_idx == end_idx: + continue + + expert = self.experts[i] + exp_token_idx = token_idxs[start_idx:end_idx] + + expert_tokens = x[exp_token_idx] + expert_out = expert(expert_tokens) + + expert_out.mul_(flat_expert_weights[idxs[start_idx:end_idx]]) + + # use index_add_ with a 1-D index tensor directly avoids building a large [N, D] index map and extra memcopy required by scatter_reduce_ + # + avoid dtype conversion + expert_cache.index_add_(0, exp_token_idx, expert_out) + + return expert_cache + +class Timesteps(nn.Module): + def __init__(self, num_channels: int, downscale_freq_shift: float = 0.0, + scale: float = 1.0, max_period: int = 10000): + super().__init__() + + self.num_channels = num_channels + half_dim = num_channels // 2 + + # precompute the “inv_freq” vector once + exponent = -math.log(max_period) * torch.arange( + half_dim, dtype=torch.float32 + ) / (half_dim - downscale_freq_shift) + + inv_freq = torch.exp(exponent) + + # pad + if num_channels % 2 == 1: + # we’ll pad a zero at the end of the cos-half + inv_freq = torch.cat([inv_freq, inv_freq.new_zeros(1)]) + + # register to buffer so it moves with the device + self.register_buffer("inv_freq", inv_freq, persistent = False) + self.scale = scale + + def forward(self, timesteps: torch.Tensor): + + x = timesteps.float().unsqueeze(1) * self.inv_freq.to(timesteps.device).unsqueeze(0) + + + # fused CUDA kernels for sin and cos + sin_emb = x.sin() + cos_emb = x.cos() + + emb = torch.cat([sin_emb, cos_emb], dim = 1) + + # scale factor + if self.scale != 1.0: + emb = emb * self.scale + + # If we padded inv_freq for odd, emb is already wide enough; otherwise: + if emb.shape[1] > self.num_channels: + emb = emb[:, :self.num_channels] + + return emb + +class TimestepEmbedder(nn.Module): + def __init__(self, hidden_size, frequency_embedding_size = 256, cond_proj_dim = None, operations = None, device = None, dtype = None): + super().__init__() + + self.mlp = nn.Sequential( + operations.Linear(hidden_size, frequency_embedding_size, bias=True, device = device, dtype = dtype), + nn.GELU(), + operations.Linear(frequency_embedding_size, hidden_size, bias=True, device = device, dtype = dtype), + ) + self.frequency_embedding_size = frequency_embedding_size + + if cond_proj_dim is not None: + self.cond_proj = operations.Linear(cond_proj_dim, frequency_embedding_size, bias=False, device = device, dtype = dtype) + + self.time_embed = Timesteps(hidden_size) + + def forward(self, timesteps, condition): + + timestep_embed = self.time_embed(timesteps).type(self.mlp[0].weight.dtype) + + if condition is not None: + cond_embed = self.cond_proj(condition) + timestep_embed = timestep_embed + cond_embed + + time_conditioned = self.mlp(timestep_embed) + + # for broadcasting with image tokens + return time_conditioned.unsqueeze(1) + +class MLP(nn.Module): + def __init__(self, *, width: int, operations = None, device = None, dtype = None): + super().__init__() + self.width = width + self.fc1 = operations.Linear(width, width * 4, device = device, dtype = dtype) + self.fc2 = operations.Linear(width * 4, width, device = device, dtype = dtype) + self.gelu = nn.GELU() + + def forward(self, x): + return self.fc2(self.gelu(self.fc1(x))) + +class CrossAttention(nn.Module): + def __init__( + self, + qdim, + kdim, + num_heads, + qkv_bias=True, + qk_norm=False, + norm_layer=nn.LayerNorm, + use_fp16: bool = False, + operations = None, + dtype = None, + device = None, + **kwargs, + ): + super().__init__() + self.qdim = qdim + self.kdim = kdim + + self.num_heads = num_heads + self.head_dim = self.qdim // num_heads + + self.scale = self.head_dim ** -0.5 + + self.to_q = operations.Linear(qdim, qdim, bias=qkv_bias, device = device, dtype = dtype) + self.to_k = operations.Linear(kdim, qdim, bias=qkv_bias, device = device, dtype = dtype) + self.to_v = operations.Linear(kdim, qdim, bias=qkv_bias, device = device, dtype = dtype) + + if use_fp16: + eps = 1.0 / 65504 + else: + eps = 1e-6 + + if norm_layer == nn.LayerNorm: + norm_layer = operations.LayerNorm + else: + norm_layer = operations.RMSNorm + + self.q_norm = norm_layer(self.head_dim, elementwise_affine=True, eps = eps, device = device, dtype = dtype) if qk_norm else nn.Identity() + self.k_norm = norm_layer(self.head_dim, elementwise_affine=True, eps = eps, device = device, dtype = dtype) if qk_norm else nn.Identity() + self.out_proj = operations.Linear(qdim, qdim, bias=True, device = device, dtype = dtype) + + def forward(self, x, y): + + b, s1, _ = x.shape + _, s2, _ = y.shape + + y = y.to(next(self.to_k.parameters()).dtype) + + q = self.to_q(x) + k = self.to_k(y) + v = self.to_v(y) + + kv = torch.cat((k, v), dim=-1) + split_size = kv.shape[-1] // self.num_heads // 2 + + kv = kv.view(1, -1, self.num_heads, split_size * 2) + k, v = torch.split(kv, split_size, dim=-1) + + q = q.view(b, s1, self.num_heads, self.head_dim) + k = k.view(b, s2, self.num_heads, self.head_dim) + v = v.reshape(b, s2, self.num_heads * self.head_dim) + + q = self.q_norm(q) + k = self.k_norm(k) + + x = optimized_attention( + q.reshape(b, s1, self.num_heads * self.head_dim), + k.reshape(b, s2, self.num_heads * self.head_dim), + v, + heads=self.num_heads, + ) + + out = self.out_proj(x) + + return out + +class Attention(nn.Module): + + def __init__( + self, + dim, + num_heads, + qkv_bias = True, + qk_norm = False, + norm_layer = nn.LayerNorm, + use_fp16: bool = False, + operations = None, + device = None, + dtype = None + ): + super().__init__() + self.dim = dim + self.num_heads = num_heads + self.head_dim = self.dim // num_heads + self.scale = self.head_dim ** -0.5 + + self.to_q = operations.Linear(dim, dim, bias = qkv_bias, device = device, dtype = dtype) + self.to_k = operations.Linear(dim, dim, bias = qkv_bias, device = device, dtype = dtype) + self.to_v = operations.Linear(dim, dim, bias = qkv_bias, device = device, dtype = dtype) + + if use_fp16: + eps = 1.0 / 65504 + else: + eps = 1e-6 + + if norm_layer == nn.LayerNorm: + norm_layer = operations.LayerNorm + else: + norm_layer = operations.RMSNorm + + self.q_norm = norm_layer(self.head_dim, elementwise_affine=True, eps = eps, device = device, dtype = dtype) if qk_norm else nn.Identity() + self.k_norm = norm_layer(self.head_dim, elementwise_affine=True, eps = eps, device = device, dtype = dtype) if qk_norm else nn.Identity() + self.out_proj = operations.Linear(dim, dim, device = device, dtype = dtype) + + def forward(self, x): + B, N, _ = x.shape + + query = self.to_q(x) + key = self.to_k(x) + value = self.to_v(x) + + qkv_combined = torch.cat((query, key, value), dim=-1) + split_size = qkv_combined.shape[-1] // self.num_heads // 3 + + qkv = qkv_combined.view(1, -1, self.num_heads, split_size * 3) + query, key, value = torch.split(qkv, split_size, dim=-1) + + query = query.reshape(B, N, self.num_heads, self.head_dim) + key = key.reshape(B, N, self.num_heads, self.head_dim) + value = value.reshape(B, N, self.num_heads * self.head_dim) + + query = self.q_norm(query) + key = self.k_norm(key) + + x = optimized_attention( + query.reshape(B, N, self.num_heads * self.head_dim), + key.reshape(B, N, self.num_heads * self.head_dim), + value, + heads=self.num_heads, + ) + + x = self.out_proj(x) + return x + +class HunYuanDiTBlock(nn.Module): + def __init__( + self, + hidden_size, + c_emb_size, + num_heads, + text_states_dim=1024, + qk_norm=False, + norm_layer=nn.LayerNorm, + qk_norm_layer=True, + qkv_bias=True, + skip_connection=True, + timested_modulate=False, + use_moe: bool = False, + num_experts: int = 8, + moe_top_k: int = 2, + use_fp16: bool = False, + operations = None, + device = None, dtype = None + ): + super().__init__() + + # eps can't be 1e-6 in fp16 mode because of numerical stability issues + if use_fp16: + eps = 1.0 / 65504 + else: + eps = 1e-6 + + self.norm1 = norm_layer(hidden_size, elementwise_affine = True, eps = eps, device = device, dtype = dtype) + + self.attn1 = Attention(hidden_size, num_heads=num_heads, qkv_bias=qkv_bias, qk_norm=qk_norm, + norm_layer=qk_norm_layer, use_fp16 = use_fp16, device = device, dtype = dtype, operations = operations) + + self.norm2 = norm_layer(hidden_size, elementwise_affine = True, eps = eps, device = device, dtype = dtype) + + self.timested_modulate = timested_modulate + if self.timested_modulate: + self.default_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(c_emb_size, hidden_size, bias=True, device = device, dtype = dtype) + ) + + self.attn2 = CrossAttention(hidden_size, text_states_dim, num_heads=num_heads, qkv_bias=qkv_bias, + qk_norm=qk_norm, norm_layer=qk_norm_layer, use_fp16 = use_fp16, + device = device, dtype = dtype, operations = operations) + + self.norm3 = norm_layer(hidden_size, elementwise_affine = True, eps = eps, device = device, dtype = dtype) + + if skip_connection: + self.skip_norm = norm_layer(hidden_size, elementwise_affine = True, eps = eps, device = device, dtype = dtype) + self.skip_linear = operations.Linear(2 * hidden_size, hidden_size, device = device, dtype = dtype) + else: + self.skip_linear = None + + self.use_moe = use_moe + + if self.use_moe: + self.moe = MoEBlock( + hidden_size, + num_experts = num_experts, + moe_top_k = moe_top_k, + dropout = 0.0, + ff_inner_dim = int(hidden_size * 4.0), + device = device, dtype = dtype, + operations = operations + ) + else: + self.mlp = MLP(width=hidden_size, operations=operations, device = device, dtype = dtype) + + def forward(self, hidden_states, conditioning=None, text_states=None, skip_tensor=None): + + if self.skip_linear is not None: + combined = torch.cat([skip_tensor, hidden_states], dim=-1) + hidden_states = self.skip_linear(combined) + hidden_states = self.skip_norm(hidden_states) + + # self attention + if self.timested_modulate: + modulation_shift = self.default_modulation(conditioning).unsqueeze(dim=1) + hidden_states = hidden_states + modulation_shift + + self_attn_out = self.attn1(self.norm1(hidden_states)) + hidden_states = hidden_states + self_attn_out + + # cross attention + hidden_states = hidden_states + self.attn2(self.norm2(hidden_states), text_states) + + # MLP Layer + mlp_input = self.norm3(hidden_states) + + if self.use_moe: + hidden_states = hidden_states + self.moe(mlp_input) + else: + hidden_states = hidden_states + self.mlp(mlp_input) + + return hidden_states + +class FinalLayer(nn.Module): + + def __init__(self, final_hidden_size, out_channels, operations, use_fp16: bool = False, device = None, dtype = None): + super().__init__() + + if use_fp16: + eps = 1.0 / 65504 + else: + eps = 1e-6 + + self.norm_final = operations.LayerNorm(final_hidden_size, elementwise_affine = True, eps = eps, device = device, dtype = dtype) + self.linear = operations.Linear(final_hidden_size, out_channels, bias = True, device = device, dtype = dtype) + + def forward(self, x): + x = self.norm_final(x) + x = x[:, 1:] + x = self.linear(x) + return x + +class HunYuanDiTPlain(nn.Module): + + # init with the defaults values from https://huggingface.co/tencent/Hunyuan3D-2.1/blob/main/hunyuan3d-dit-v2-1/config.yaml + def __init__( + self, + in_channels: int = 64, + hidden_size: int = 2048, + context_dim: int = 1024, + depth: int = 21, + num_heads: int = 16, + qk_norm: bool = True, + qkv_bias: bool = False, + num_moe_layers: int = 6, + guidance_cond_proj_dim = 2048, + norm_type = 'layer', + num_experts: int = 8, + moe_top_k: int = 2, + use_fp16: bool = False, + dtype = None, + device = None, + operations = None, + **kwargs + ): + + self.dtype = dtype + + super().__init__() + + self.depth = depth + + self.in_channels = in_channels + self.out_channels = in_channels + + self.num_heads = num_heads + self.hidden_size = hidden_size + + norm = operations.LayerNorm if norm_type == 'layer' else operations.RMSNorm + qk_norm = operations.RMSNorm + + self.context_dim = context_dim + self.guidance_cond_proj_dim = guidance_cond_proj_dim + + self.x_embedder = operations.Linear(in_channels, hidden_size, bias = True, device = device, dtype = dtype) + self.t_embedder = TimestepEmbedder(hidden_size, hidden_size * 4, cond_proj_dim = guidance_cond_proj_dim, device = device, dtype = dtype, operations = operations) + + + # HUnYuanDiT Blocks + self.blocks = nn.ModuleList([ + HunYuanDiTBlock(hidden_size=hidden_size, + c_emb_size=hidden_size, + num_heads=num_heads, + text_states_dim=context_dim, + qk_norm=qk_norm, + norm_layer = norm, + qk_norm_layer = qk_norm, + skip_connection=layer > depth // 2, + qkv_bias=qkv_bias, + use_moe=True if depth - layer <= num_moe_layers else False, + num_experts=num_experts, + moe_top_k=moe_top_k, + use_fp16 = use_fp16, + device = device, dtype = dtype, operations = operations) + for layer in range(depth) + ]) + + self.depth = depth + + self.final_layer = FinalLayer(hidden_size, self.out_channels, use_fp16 = use_fp16, operations = operations, device = device, dtype = dtype) + + def forward(self, x, t, context, transformer_options = {}, **kwargs): + + x = x.movedim(-1, -2) + uncond_emb, cond_emb = context.chunk(2, dim = 0) + + context = torch.cat([cond_emb, uncond_emb], dim = 0) + main_condition = context + + t = 1.0 - t + + time_embedded = self.t_embedder(t, condition = kwargs.get('guidance_cond')) + + x = x.to(dtype = next(self.x_embedder.parameters()).dtype) + x_embedded = self.x_embedder(x) + + combined = torch.cat([time_embedded, x_embedded], dim=1) + + def block_wrap(args): + return block( + args["x"], + args["t"], + args["cond"], + skip_tensor=args.get("skip"),) + + skip_stack = [] + patches_replace = transformer_options.get("patches_replace", {}) + blocks_replace = patches_replace.get("dit", {}) + for idx, block in enumerate(self.blocks): + if idx <= self.depth // 2: + skip_input = None + else: + skip_input = skip_stack.pop() + + if ("block", idx) in blocks_replace: + + combined = blocks_replace[("block", idx)]( + { + "x": combined, + "t": time_embedded, + "cond": main_condition, + "skip": skip_input, + }, + {"original_block": block_wrap}, + ) + else: + combined = block(combined, time_embedded, main_condition, skip_tensor=skip_input) + + if idx < self.depth // 2: + skip_stack.append(combined) + + output = self.final_layer(combined) + output = output.movedim(-2, -1) * (-1.0) + + cond_emb, uncond_emb = output.chunk(2, dim = 0) + return torch.cat([uncond_emb, cond_emb]) diff --git a/comfy/ldm/hunyuan_video/model.py b/comfy/ldm/hunyuan_video/model.py new file mode 100644 index 0000000000000000000000000000000000000000..5132e6c07b75905baebead66bdb614e3d01edacf --- /dev/null +++ b/comfy/ldm/hunyuan_video/model.py @@ -0,0 +1,449 @@ +#Based on Flux code because of weird hunyuan video code license. + +import torch +import comfy.patcher_extension +import comfy.ldm.flux.layers +import comfy.ldm.modules.diffusionmodules.mmdit +from comfy.ldm.modules.attention import optimized_attention + + +from dataclasses import dataclass +from einops import repeat + +from torch import Tensor, nn + +from comfy.ldm.flux.layers import ( + DoubleStreamBlock, + EmbedND, + LastLayer, + MLPEmbedder, + SingleStreamBlock, + timestep_embedding +) + +import comfy.ldm.common_dit + + +@dataclass +class HunyuanVideoParams: + in_channels: int + out_channels: int + vec_in_dim: int + context_in_dim: int + hidden_size: int + mlp_ratio: float + num_heads: int + depth: int + depth_single_blocks: int + axes_dim: list + theta: int + patch_size: list + qkv_bias: bool + guidance_embed: bool + byt5: bool + meanflow: bool + + +class SelfAttentionRef(nn.Module): + def __init__(self, dim: int, qkv_bias: bool = False, dtype=None, device=None, operations=None): + super().__init__() + self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device) + self.proj = operations.Linear(dim, dim, dtype=dtype, device=device) + + +class TokenRefinerBlock(nn.Module): + def __init__( + self, + hidden_size, + heads, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.heads = heads + mlp_hidden_dim = hidden_size * 4 + + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device), + ) + + self.norm1 = operations.LayerNorm(hidden_size, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) + self.self_attn = SelfAttentionRef(hidden_size, True, dtype=dtype, device=device, operations=operations) + + self.norm2 = operations.LayerNorm(hidden_size, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) + + self.mlp = nn.Sequential( + operations.Linear(hidden_size, mlp_hidden_dim, bias=True, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(mlp_hidden_dim, hidden_size, bias=True, dtype=dtype, device=device), + ) + + def forward(self, x, c, mask, transformer_options={}): + mod1, mod2 = self.adaLN_modulation(c).chunk(2, dim=1) + + norm_x = self.norm1(x) + qkv = self.self_attn.qkv(norm_x) + q, k, v = qkv.reshape(qkv.shape[0], qkv.shape[1], 3, self.heads, -1).permute(2, 0, 3, 1, 4) + attn = optimized_attention(q, k, v, self.heads, mask=mask, skip_reshape=True, transformer_options=transformer_options) + + x = x + self.self_attn.proj(attn) * mod1.unsqueeze(1) + x = x + self.mlp(self.norm2(x)) * mod2.unsqueeze(1) + return x + + +class IndividualTokenRefiner(nn.Module): + def __init__( + self, + hidden_size, + heads, + num_blocks, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.blocks = nn.ModuleList( + [ + TokenRefinerBlock( + hidden_size=hidden_size, + heads=heads, + dtype=dtype, + device=device, + operations=operations + ) + for _ in range(num_blocks) + ] + ) + + def forward(self, x, c, mask, transformer_options={}): + m = None + if mask is not None: + m = mask.view(mask.shape[0], 1, 1, mask.shape[1]).repeat(1, 1, mask.shape[1], 1) + m = m + m.transpose(2, 3) + + for block in self.blocks: + x = block(x, c, m, transformer_options=transformer_options) + return x + + + +class TokenRefiner(nn.Module): + def __init__( + self, + text_dim, + hidden_size, + heads, + num_blocks, + dtype=None, + device=None, + operations=None + ): + super().__init__() + + self.input_embedder = operations.Linear(text_dim, hidden_size, bias=True, dtype=dtype, device=device) + self.t_embedder = MLPEmbedder(256, hidden_size, dtype=dtype, device=device, operations=operations) + self.c_embedder = MLPEmbedder(text_dim, hidden_size, dtype=dtype, device=device, operations=operations) + self.individual_token_refiner = IndividualTokenRefiner(hidden_size, heads, num_blocks, dtype=dtype, device=device, operations=operations) + + def forward( + self, + x, + timesteps, + mask, + transformer_options={}, + ): + t = self.t_embedder(timestep_embedding(timesteps, 256, time_factor=1.0).to(x.dtype)) + # m = mask.float().unsqueeze(-1) + # c = (x.float() * m).sum(dim=1) / m.sum(dim=1) #TODO: the following works when the x.shape is the same length as the tokens but might break otherwise + c = x.sum(dim=1) / x.shape[1] + + c = t + self.c_embedder(c.to(x.dtype)) + x = self.input_embedder(x) + x = self.individual_token_refiner(x, c, mask, transformer_options=transformer_options) + return x + + +class ByT5Mapper(nn.Module): + def __init__(self, in_dim, out_dim, hidden_dim, out_dim1, use_res=False, dtype=None, device=None, operations=None): + super().__init__() + self.layernorm = operations.LayerNorm(in_dim, dtype=dtype, device=device) + self.fc1 = operations.Linear(in_dim, hidden_dim, dtype=dtype, device=device) + self.fc2 = operations.Linear(hidden_dim, out_dim, dtype=dtype, device=device) + self.fc3 = operations.Linear(out_dim, out_dim1, dtype=dtype, device=device) + self.use_res = use_res + self.act_fn = nn.GELU() + + def forward(self, x): + if self.use_res: + res = x + x = self.layernorm(x) + x = self.fc1(x) + x = self.act_fn(x) + x = self.fc2(x) + x2 = self.act_fn(x) + x2 = self.fc3(x2) + if self.use_res: + x2 = x2 + res + return x2 + +class HunyuanVideo(nn.Module): + """ + Transformer model for flow matching on sequences. + """ + + def __init__(self, image_model=None, final_layer=True, dtype=None, device=None, operations=None, **kwargs): + super().__init__() + self.dtype = dtype + params = HunyuanVideoParams(**kwargs) + self.params = params + self.patch_size = params.patch_size + self.in_channels = params.in_channels + self.out_channels = params.out_channels + if params.hidden_size % params.num_heads != 0: + raise ValueError( + f"Hidden size {params.hidden_size} must be divisible by num_heads {params.num_heads}" + ) + pe_dim = params.hidden_size // params.num_heads + if sum(params.axes_dim) != pe_dim: + raise ValueError(f"Got {params.axes_dim} but expected positional dim {pe_dim}") + self.hidden_size = params.hidden_size + self.num_heads = params.num_heads + self.pe_embedder = EmbedND(dim=pe_dim, theta=params.theta, axes_dim=params.axes_dim) + + self.img_in = comfy.ldm.modules.diffusionmodules.mmdit.PatchEmbed(None, self.patch_size, self.in_channels, self.hidden_size, conv3d=len(self.patch_size) == 3, dtype=dtype, device=device, operations=operations) + self.time_in = MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations) + if params.vec_in_dim is not None: + self.vector_in = MLPEmbedder(params.vec_in_dim, self.hidden_size, dtype=dtype, device=device, operations=operations) + else: + self.vector_in = None + + self.guidance_in = ( + MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations) if params.guidance_embed else nn.Identity() + ) + + self.txt_in = TokenRefiner(params.context_in_dim, self.hidden_size, self.num_heads, 2, dtype=dtype, device=device, operations=operations) + + self.double_blocks = nn.ModuleList( + [ + DoubleStreamBlock( + self.hidden_size, + self.num_heads, + mlp_ratio=params.mlp_ratio, + qkv_bias=params.qkv_bias, + flipped_img_txt=True, + dtype=dtype, device=device, operations=operations + ) + for _ in range(params.depth) + ] + ) + + self.single_blocks = nn.ModuleList( + [ + SingleStreamBlock(self.hidden_size, self.num_heads, mlp_ratio=params.mlp_ratio, dtype=dtype, device=device, operations=operations) + for _ in range(params.depth_single_blocks) + ] + ) + + if params.byt5: + self.byt5_in = ByT5Mapper( + in_dim=1472, + out_dim=2048, + hidden_dim=2048, + out_dim1=self.hidden_size, + use_res=False, + dtype=dtype, device=device, operations=operations + ) + else: + self.byt5_in = None + + if params.meanflow: + self.time_r_in = MLPEmbedder(in_dim=256, hidden_dim=self.hidden_size, dtype=dtype, device=device, operations=operations) + else: + self.time_r_in = None + + if final_layer: + self.final_layer = LastLayer(self.hidden_size, self.patch_size[-1], self.out_channels, dtype=dtype, device=device, operations=operations) + + def forward_orig( + self, + img: Tensor, + img_ids: Tensor, + txt: Tensor, + txt_ids: Tensor, + txt_mask: Tensor, + timesteps: Tensor, + y: Tensor = None, + txt_byt5=None, + guidance: Tensor = None, + guiding_frame_index=None, + ref_latent=None, + disable_time_r=False, + control=None, + transformer_options={}, + ) -> Tensor: + patches_replace = transformer_options.get("patches_replace", {}) + + initial_shape = list(img.shape) + # running on sequences img + img = self.img_in(img) + vec = self.time_in(timestep_embedding(timesteps, 256, time_factor=1.0).to(img.dtype)) + + if (self.time_r_in is not None) and (not disable_time_r): + w = torch.where(transformer_options['sigmas'][0] == transformer_options['sample_sigmas'])[0] # This most likely could be improved + if len(w) > 0: + timesteps_r = transformer_options['sample_sigmas'][w[0] + 1] + timesteps_r = timesteps_r.unsqueeze(0).to(device=timesteps.device, dtype=timesteps.dtype) + vec_r = self.time_r_in(timestep_embedding(timesteps_r, 256, time_factor=1000.0).to(img.dtype)) + vec = (vec + vec_r) / 2 + + if ref_latent is not None: + ref_latent_ids = self.img_ids(ref_latent) + ref_latent = self.img_in(ref_latent) + img = torch.cat([ref_latent, img], dim=-2) + ref_latent_ids[..., 0] = -1 + ref_latent_ids[..., 2] += (initial_shape[-1] // self.patch_size[-1]) + img_ids = torch.cat([ref_latent_ids, img_ids], dim=-2) + + if guiding_frame_index is not None: + token_replace_vec = self.time_in(timestep_embedding(guiding_frame_index, 256, time_factor=1.0)) + if self.vector_in is not None: + vec_ = self.vector_in(y[:, :self.params.vec_in_dim]) + vec = torch.cat([(vec_ + token_replace_vec).unsqueeze(1), (vec_ + vec).unsqueeze(1)], dim=1) + else: + vec = torch.cat([(token_replace_vec).unsqueeze(1), (vec).unsqueeze(1)], dim=1) + frame_tokens = (initial_shape[-1] // self.patch_size[-1]) * (initial_shape[-2] // self.patch_size[-2]) + modulation_dims = [(0, frame_tokens, 0), (frame_tokens, None, 1)] + modulation_dims_txt = [(0, None, 1)] + else: + if self.vector_in is not None: + vec = vec + self.vector_in(y[:, :self.params.vec_in_dim]) + modulation_dims = None + modulation_dims_txt = None + + if self.params.guidance_embed: + if guidance is not None: + vec = vec + self.guidance_in(timestep_embedding(guidance, 256).to(img.dtype)) + + if txt_mask is not None and not torch.is_floating_point(txt_mask): + txt_mask = (txt_mask - 1).to(img.dtype) * torch.finfo(img.dtype).max + + txt = self.txt_in(txt, timesteps, txt_mask, transformer_options=transformer_options) + + if self.byt5_in is not None and txt_byt5 is not None: + txt_byt5 = self.byt5_in(txt_byt5) + txt_byt5_ids = torch.zeros((txt_ids.shape[0], txt_byt5.shape[1], txt_ids.shape[-1]), device=txt_ids.device, dtype=txt_ids.dtype) + txt = torch.cat((txt, txt_byt5), dim=1) + txt_ids = torch.cat((txt_ids, txt_byt5_ids), dim=1) + + ids = torch.cat((img_ids, txt_ids), dim=1) + pe = self.pe_embedder(ids) + + img_len = img.shape[1] + if txt_mask is not None: + attn_mask_len = img_len + txt.shape[1] + attn_mask = torch.zeros((1, 1, attn_mask_len), dtype=img.dtype, device=img.device) + attn_mask[:, 0, img_len:] = txt_mask + else: + attn_mask = None + + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.double_blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"], out["txt"] = block(img=args["img"], txt=args["txt"], vec=args["vec"], pe=args["pe"], attn_mask=args["attention_mask"], modulation_dims_img=args["modulation_dims_img"], modulation_dims_txt=args["modulation_dims_txt"], transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("double_block", i)]({"img": img, "txt": txt, "vec": vec, "pe": pe, "attention_mask": attn_mask, 'modulation_dims_img': modulation_dims, 'modulation_dims_txt': modulation_dims_txt, 'transformer_options': transformer_options}, {"original_block": block_wrap}) + txt = out["txt"] + img = out["img"] + else: + img, txt = block(img=img, txt=txt, vec=vec, pe=pe, attn_mask=attn_mask, modulation_dims_img=modulation_dims, modulation_dims_txt=modulation_dims_txt, transformer_options=transformer_options) + + if control is not None: # Controlnet + control_i = control.get("input") + if i < len(control_i): + add = control_i[i] + if add is not None: + img += add + + img = torch.cat((img, txt), 1) + + for i, block in enumerate(self.single_blocks): + if ("single_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], vec=args["vec"], pe=args["pe"], attn_mask=args["attention_mask"], modulation_dims=args["modulation_dims"], transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("single_block", i)]({"img": img, "vec": vec, "pe": pe, "attention_mask": attn_mask, 'modulation_dims': modulation_dims, 'transformer_options': transformer_options}, {"original_block": block_wrap}) + img = out["img"] + else: + img = block(img, vec=vec, pe=pe, attn_mask=attn_mask, modulation_dims=modulation_dims, transformer_options=transformer_options) + + if control is not None: # Controlnet + control_o = control.get("output") + if i < len(control_o): + add = control_o[i] + if add is not None: + img[:, : img_len] += add + + img = img[:, : img_len] + if ref_latent is not None: + img = img[:, ref_latent.shape[1]:] + + img = self.final_layer(img, vec, modulation_dims=modulation_dims) # (N, T, patch_size ** 2 * out_channels) + + shape = initial_shape[-len(self.patch_size):] + for i in range(len(shape)): + shape[i] = shape[i] // self.patch_size[i] + img = img.reshape([img.shape[0]] + shape + [self.out_channels] + self.patch_size) + if img.ndim == 8: + img = img.permute(0, 4, 1, 5, 2, 6, 3, 7) + img = img.reshape(initial_shape[0], self.out_channels, initial_shape[2], initial_shape[3], initial_shape[4]) + else: + img = img.permute(0, 3, 1, 4, 2, 5) + img = img.reshape(initial_shape[0], self.out_channels, initial_shape[2], initial_shape[3]) + return img + + def img_ids(self, x): + bs, c, t, h, w = x.shape + patch_size = self.patch_size + t_len = ((t + (patch_size[0] // 2)) // patch_size[0]) + h_len = ((h + (patch_size[1] // 2)) // patch_size[1]) + w_len = ((w + (patch_size[2] // 2)) // patch_size[2]) + img_ids = torch.zeros((t_len, h_len, w_len, 3), device=x.device, dtype=x.dtype) + img_ids[:, :, :, 0] = img_ids[:, :, :, 0] + torch.linspace(0, t_len - 1, steps=t_len, device=x.device, dtype=x.dtype).reshape(-1, 1, 1) + img_ids[:, :, :, 1] = img_ids[:, :, :, 1] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype).reshape(1, -1, 1) + img_ids[:, :, :, 2] = img_ids[:, :, :, 2] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype).reshape(1, 1, -1) + return repeat(img_ids, "t h w c -> b (t h w) c", b=bs) + + def img_ids_2d(self, x): + bs, c, h, w = x.shape + patch_size = self.patch_size + h_len = ((h + (patch_size[0] // 2)) // patch_size[0]) + w_len = ((w + (patch_size[1] // 2)) // patch_size[1]) + img_ids = torch.zeros((h_len, w_len, 2), device=x.device, dtype=x.dtype) + img_ids[:, :, 0] = img_ids[:, :, 0] + torch.linspace(0, h_len - 1, steps=h_len, device=x.device, dtype=x.dtype).unsqueeze(1) + img_ids[:, :, 1] = img_ids[:, :, 1] + torch.linspace(0, w_len - 1, steps=w_len, device=x.device, dtype=x.dtype).unsqueeze(0) + return repeat(img_ids, "h w c -> b (h w) c", b=bs) + + def forward(self, x, timestep, context, y=None, txt_byt5=None, guidance=None, attention_mask=None, guiding_frame_index=None, ref_latent=None, disable_time_r=False, control=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, y, txt_byt5, guidance, attention_mask, guiding_frame_index, ref_latent, disable_time_r, control, transformer_options, **kwargs) + + def _forward(self, x, timestep, context, y=None, txt_byt5=None, guidance=None, attention_mask=None, guiding_frame_index=None, ref_latent=None, disable_time_r=False, control=None, transformer_options={}, **kwargs): + bs = x.shape[0] + if len(self.patch_size) == 3: + img_ids = self.img_ids(x) + txt_ids = torch.zeros((bs, context.shape[1], 3), device=x.device, dtype=x.dtype) + else: + img_ids = self.img_ids_2d(x) + txt_ids = torch.zeros((bs, context.shape[1], 2), device=x.device, dtype=x.dtype) + out = self.forward_orig(x, img_ids, context, txt_ids, attention_mask, timestep, y, txt_byt5, guidance, guiding_frame_index, ref_latent, disable_time_r=disable_time_r, control=control, transformer_options=transformer_options) + return out diff --git a/comfy/ldm/hunyuan_video/vae.py b/comfy/ldm/hunyuan_video/vae.py new file mode 100644 index 0000000000000000000000000000000000000000..40c12b18334dcc003a59c882b63c7044fe5e679e --- /dev/null +++ b/comfy/ldm/hunyuan_video/vae.py @@ -0,0 +1,136 @@ +import torch.nn as nn +import torch.nn.functional as F +from comfy.ldm.modules.diffusionmodules.model import ResnetBlock, AttnBlock +import comfy.ops +ops = comfy.ops.disable_weight_init + + +class PixelShuffle2D(nn.Module): + def __init__(self, in_dim, out_dim, op=ops.Conv2d): + super().__init__() + self.conv = op(in_dim, out_dim >> 2, 3, 1, 1) + self.ratio = (in_dim << 2) // out_dim + + def forward(self, x): + b, c, h, w = x.shape + h2, w2 = h >> 1, w >> 1 + y = self.conv(x).view(b, -1, h2, 2, w2, 2).permute(0, 3, 5, 1, 2, 4).reshape(b, -1, h2, w2) + r = x.view(b, c, h2, 2, w2, 2).permute(0, 3, 5, 1, 2, 4).reshape(b, c << 2, h2, w2) + return y + r.view(b, y.shape[1], self.ratio, h2, w2).mean(2) + + +class PixelUnshuffle2D(nn.Module): + def __init__(self, in_dim, out_dim, op=ops.Conv2d): + super().__init__() + self.conv = op(in_dim, out_dim << 2, 3, 1, 1) + self.scale = (out_dim << 2) // in_dim + + def forward(self, x): + b, c, h, w = x.shape + h2, w2 = h << 1, w << 1 + y = self.conv(x).view(b, 2, 2, -1, h, w).permute(0, 3, 4, 1, 5, 2).reshape(b, -1, h2, w2) + r = x.repeat_interleave(self.scale, 1).view(b, 2, 2, -1, h, w).permute(0, 3, 4, 1, 5, 2).reshape(b, -1, h2, w2) + return y + r + + +class Encoder(nn.Module): + def __init__(self, in_channels, z_channels, block_out_channels, num_res_blocks, + ffactor_spatial, downsample_match_channel=True, **_): + super().__init__() + self.z_channels = z_channels + self.block_out_channels = block_out_channels + self.num_res_blocks = num_res_blocks + self.conv_in = ops.Conv2d(in_channels, block_out_channels[0], 3, 1, 1) + + self.down = nn.ModuleList() + ch = block_out_channels[0] + depth = (ffactor_spatial >> 1).bit_length() + + for i, tgt in enumerate(block_out_channels): + stage = nn.Module() + stage.block = nn.ModuleList([ResnetBlock(in_channels=ch if j == 0 else tgt, + out_channels=tgt, + temb_channels=0, + conv_op=ops.Conv2d) + for j in range(num_res_blocks)]) + ch = tgt + if i < depth: + nxt = block_out_channels[i + 1] if i + 1 < len(block_out_channels) and downsample_match_channel else ch + stage.downsample = PixelShuffle2D(ch, nxt, ops.Conv2d) + ch = nxt + self.down.append(stage) + + self.mid = nn.Module() + self.mid.block_1 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=ops.Conv2d) + self.mid.attn_1 = AttnBlock(ch, conv_op=ops.Conv2d) + self.mid.block_2 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=ops.Conv2d) + + self.norm_out = ops.GroupNorm(32, ch, 1e-6, True) + self.conv_out = ops.Conv2d(ch, z_channels << 1, 3, 1, 1) + + def forward(self, x): + x = self.conv_in(x) + + for stage in self.down: + for blk in stage.block: + x = blk(x) + if hasattr(stage, 'downsample'): + x = stage.downsample(x) + + x = self.mid.block_2(self.mid.attn_1(self.mid.block_1(x))) + + b, c, h, w = x.shape + grp = c // (self.z_channels << 1) + skip = x.view(b, c // grp, grp, h, w).mean(2) + + return self.conv_out(F.silu(self.norm_out(x))) + skip + + +class Decoder(nn.Module): + def __init__(self, z_channels, out_channels, block_out_channels, num_res_blocks, + ffactor_spatial, upsample_match_channel=True, **_): + super().__init__() + block_out_channels = block_out_channels[::-1] + self.z_channels = z_channels + self.block_out_channels = block_out_channels + self.num_res_blocks = num_res_blocks + + ch = block_out_channels[0] + self.conv_in = ops.Conv2d(z_channels, ch, 3, 1, 1) + + self.mid = nn.Module() + self.mid.block_1 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=ops.Conv2d) + self.mid.attn_1 = AttnBlock(ch, conv_op=ops.Conv2d) + self.mid.block_2 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=ops.Conv2d) + + self.up = nn.ModuleList() + depth = (ffactor_spatial >> 1).bit_length() + + for i, tgt in enumerate(block_out_channels): + stage = nn.Module() + stage.block = nn.ModuleList([ResnetBlock(in_channels=ch if j == 0 else tgt, + out_channels=tgt, + temb_channels=0, + conv_op=ops.Conv2d) + for j in range(num_res_blocks + 1)]) + ch = tgt + if i < depth: + nxt = block_out_channels[i + 1] if i + 1 < len(block_out_channels) and upsample_match_channel else ch + stage.upsample = PixelUnshuffle2D(ch, nxt, ops.Conv2d) + ch = nxt + self.up.append(stage) + + self.norm_out = ops.GroupNorm(32, ch, 1e-6, True) + self.conv_out = ops.Conv2d(ch, out_channels, 3, 1, 1) + + def forward(self, z): + x = self.conv_in(z) + z.repeat_interleave(self.block_out_channels[0] // self.z_channels, 1) + x = self.mid.block_2(self.mid.attn_1(self.mid.block_1(x))) + + for stage in self.up: + for blk in stage.block: + x = blk(x) + if hasattr(stage, 'upsample'): + x = stage.upsample(x) + + return self.conv_out(F.silu(self.norm_out(x))) diff --git a/comfy/ldm/hunyuan_video/vae_refiner.py b/comfy/ldm/hunyuan_video/vae_refiner.py new file mode 100644 index 0000000000000000000000000000000000000000..c6f742710ca4068237bf3ce0435eec67073f3dee --- /dev/null +++ b/comfy/ldm/hunyuan_video/vae_refiner.py @@ -0,0 +1,267 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +from comfy.ldm.modules.diffusionmodules.model import ResnetBlock, AttnBlock, VideoConv3d +import comfy.ops +import comfy.ldm.models.autoencoder +ops = comfy.ops.disable_weight_init + +class RMS_norm(nn.Module): + def __init__(self, dim): + super().__init__() + shape = (dim, 1, 1, 1) + self.scale = dim**0.5 + self.gamma = nn.Parameter(torch.empty(shape)) + + def forward(self, x): + return F.normalize(x, dim=1) * self.scale * self.gamma + +class DnSmpl(nn.Module): + def __init__(self, ic, oc, tds=True): + super().__init__() + fct = 2 * 2 * 2 if tds else 1 * 2 * 2 + assert oc % fct == 0 + self.conv = VideoConv3d(ic, oc // fct, kernel_size=3) + + self.tds = tds + self.gs = fct * ic // oc + + def forward(self, x): + r1 = 2 if self.tds else 1 + h = self.conv(x) + + if self.tds: + hf = h[:, :, :1, :, :] + b, c, f, ht, wd = hf.shape + hf = hf.reshape(b, c, f, ht // 2, 2, wd // 2, 2) + hf = hf.permute(0, 4, 6, 1, 2, 3, 5) + hf = hf.reshape(b, 2 * 2 * c, f, ht // 2, wd // 2) + hf = torch.cat([hf, hf], dim=1) + + hn = h[:, :, 1:, :, :] + b, c, frms, ht, wd = hn.shape + nf = frms // r1 + hn = hn.reshape(b, c, nf, r1, ht // 2, 2, wd // 2, 2) + hn = hn.permute(0, 3, 5, 7, 1, 2, 4, 6) + hn = hn.reshape(b, r1 * 2 * 2 * c, nf, ht // 2, wd // 2) + + h = torch.cat([hf, hn], dim=2) + + xf = x[:, :, :1, :, :] + b, ci, f, ht, wd = xf.shape + xf = xf.reshape(b, ci, f, ht // 2, 2, wd // 2, 2) + xf = xf.permute(0, 4, 6, 1, 2, 3, 5) + xf = xf.reshape(b, 2 * 2 * ci, f, ht // 2, wd // 2) + B, C, T, H, W = xf.shape + xf = xf.view(B, h.shape[1], self.gs // 2, T, H, W).mean(dim=2) + + xn = x[:, :, 1:, :, :] + b, ci, frms, ht, wd = xn.shape + nf = frms // r1 + xn = xn.reshape(b, ci, nf, r1, ht // 2, 2, wd // 2, 2) + xn = xn.permute(0, 3, 5, 7, 1, 2, 4, 6) + xn = xn.reshape(b, r1 * 2 * 2 * ci, nf, ht // 2, wd // 2) + B, C, T, H, W = xn.shape + xn = xn.view(B, h.shape[1], self.gs, T, H, W).mean(dim=2) + sc = torch.cat([xf, xn], dim=2) + else: + b, c, frms, ht, wd = h.shape + nf = frms // r1 + h = h.reshape(b, c, nf, r1, ht // 2, 2, wd // 2, 2) + h = h.permute(0, 3, 5, 7, 1, 2, 4, 6) + h = h.reshape(b, r1 * 2 * 2 * c, nf, ht // 2, wd // 2) + + b, ci, frms, ht, wd = x.shape + nf = frms // r1 + sc = x.reshape(b, ci, nf, r1, ht // 2, 2, wd // 2, 2) + sc = sc.permute(0, 3, 5, 7, 1, 2, 4, 6) + sc = sc.reshape(b, r1 * 2 * 2 * ci, nf, ht // 2, wd // 2) + B, C, T, H, W = sc.shape + sc = sc.view(B, h.shape[1], self.gs, T, H, W).mean(dim=2) + + return h + sc + + +class UpSmpl(nn.Module): + def __init__(self, ic, oc, tus=True): + super().__init__() + fct = 2 * 2 * 2 if tus else 1 * 2 * 2 + self.conv = VideoConv3d(ic, oc * fct, kernel_size=3) + + self.tus = tus + self.rp = fct * oc // ic + + def forward(self, x): + r1 = 2 if self.tus else 1 + h = self.conv(x) + + if self.tus: + hf = h[:, :, :1, :, :] + b, c, f, ht, wd = hf.shape + nc = c // (2 * 2) + hf = hf.reshape(b, 2, 2, nc, f, ht, wd) + hf = hf.permute(0, 3, 4, 5, 1, 6, 2) + hf = hf.reshape(b, nc, f, ht * 2, wd * 2) + hf = hf[:, : hf.shape[1] // 2] + + hn = h[:, :, 1:, :, :] + b, c, frms, ht, wd = hn.shape + nc = c // (r1 * 2 * 2) + hn = hn.reshape(b, r1, 2, 2, nc, frms, ht, wd) + hn = hn.permute(0, 4, 5, 1, 6, 2, 7, 3) + hn = hn.reshape(b, nc, frms * r1, ht * 2, wd * 2) + + h = torch.cat([hf, hn], dim=2) + + xf = x[:, :, :1, :, :] + b, ci, f, ht, wd = xf.shape + xf = xf.repeat_interleave(repeats=self.rp // 2, dim=1) + b, c, f, ht, wd = xf.shape + nc = c // (2 * 2) + xf = xf.reshape(b, 2, 2, nc, f, ht, wd) + xf = xf.permute(0, 3, 4, 5, 1, 6, 2) + xf = xf.reshape(b, nc, f, ht * 2, wd * 2) + + xn = x[:, :, 1:, :, :] + xn = xn.repeat_interleave(repeats=self.rp, dim=1) + b, c, frms, ht, wd = xn.shape + nc = c // (r1 * 2 * 2) + xn = xn.reshape(b, r1, 2, 2, nc, frms, ht, wd) + xn = xn.permute(0, 4, 5, 1, 6, 2, 7, 3) + xn = xn.reshape(b, nc, frms * r1, ht * 2, wd * 2) + sc = torch.cat([xf, xn], dim=2) + else: + b, c, frms, ht, wd = h.shape + nc = c // (r1 * 2 * 2) + h = h.reshape(b, r1, 2, 2, nc, frms, ht, wd) + h = h.permute(0, 4, 5, 1, 6, 2, 7, 3) + h = h.reshape(b, nc, frms * r1, ht * 2, wd * 2) + + sc = x.repeat_interleave(repeats=self.rp, dim=1) + b, c, frms, ht, wd = sc.shape + nc = c // (r1 * 2 * 2) + sc = sc.reshape(b, r1, 2, 2, nc, frms, ht, wd) + sc = sc.permute(0, 4, 5, 1, 6, 2, 7, 3) + sc = sc.reshape(b, nc, frms * r1, ht * 2, wd * 2) + + return h + sc + +class Encoder(nn.Module): + def __init__(self, in_channels, z_channels, block_out_channels, num_res_blocks, + ffactor_spatial, ffactor_temporal, downsample_match_channel=True, **_): + super().__init__() + self.z_channels = z_channels + self.block_out_channels = block_out_channels + self.num_res_blocks = num_res_blocks + self.conv_in = VideoConv3d(in_channels, block_out_channels[0], 3, 1, 1) + + self.down = nn.ModuleList() + ch = block_out_channels[0] + depth = (ffactor_spatial >> 1).bit_length() + depth_temporal = ((ffactor_spatial // ffactor_temporal) >> 1).bit_length() + + for i, tgt in enumerate(block_out_channels): + stage = nn.Module() + stage.block = nn.ModuleList([ResnetBlock(in_channels=ch if j == 0 else tgt, + out_channels=tgt, + temb_channels=0, + conv_op=VideoConv3d, norm_op=RMS_norm) + for j in range(num_res_blocks)]) + ch = tgt + if i < depth: + nxt = block_out_channels[i + 1] if i + 1 < len(block_out_channels) and downsample_match_channel else ch + stage.downsample = DnSmpl(ch, nxt, tds=i >= depth_temporal) + ch = nxt + self.down.append(stage) + + self.mid = nn.Module() + self.mid.block_1 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=VideoConv3d, norm_op=RMS_norm) + self.mid.attn_1 = AttnBlock(ch, conv_op=ops.Conv3d, norm_op=RMS_norm) + self.mid.block_2 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=VideoConv3d, norm_op=RMS_norm) + + self.norm_out = RMS_norm(ch) + self.conv_out = VideoConv3d(ch, z_channels << 1, 3, 1, 1) + + self.regul = comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer() + + def forward(self, x): + x = self.conv_in(x) + + for stage in self.down: + for blk in stage.block: + x = blk(x) + if hasattr(stage, 'downsample'): + x = stage.downsample(x) + + x = self.mid.block_2(self.mid.attn_1(self.mid.block_1(x))) + + b, c, t, h, w = x.shape + grp = c // (self.z_channels << 1) + skip = x.view(b, c // grp, grp, t, h, w).mean(2) + + out = self.conv_out(F.silu(self.norm_out(x))) + skip + out = self.regul(out)[0] + + out = torch.cat((out[:, :, :1], out), dim=2) + out = out.permute(0, 2, 1, 3, 4) + b, f_times_2, c, h, w = out.shape + out = out.reshape(b, f_times_2 // 2, 2 * c, h, w) + out = out.permute(0, 2, 1, 3, 4).contiguous() + return out + +class Decoder(nn.Module): + def __init__(self, z_channels, out_channels, block_out_channels, num_res_blocks, + ffactor_spatial, ffactor_temporal, upsample_match_channel=True, **_): + super().__init__() + block_out_channels = block_out_channels[::-1] + self.z_channels = z_channels + self.block_out_channels = block_out_channels + self.num_res_blocks = num_res_blocks + + ch = block_out_channels[0] + self.conv_in = VideoConv3d(z_channels, ch, 3) + + self.mid = nn.Module() + self.mid.block_1 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=VideoConv3d, norm_op=RMS_norm) + self.mid.attn_1 = AttnBlock(ch, conv_op=ops.Conv3d, norm_op=RMS_norm) + self.mid.block_2 = ResnetBlock(in_channels=ch, out_channels=ch, temb_channels=0, conv_op=VideoConv3d, norm_op=RMS_norm) + + self.up = nn.ModuleList() + depth = (ffactor_spatial >> 1).bit_length() + depth_temporal = (ffactor_temporal >> 1).bit_length() + + for i, tgt in enumerate(block_out_channels): + stage = nn.Module() + stage.block = nn.ModuleList([ResnetBlock(in_channels=ch if j == 0 else tgt, + out_channels=tgt, + temb_channels=0, + conv_op=VideoConv3d, norm_op=RMS_norm) + for j in range(num_res_blocks + 1)]) + ch = tgt + if i < depth: + nxt = block_out_channels[i + 1] if i + 1 < len(block_out_channels) and upsample_match_channel else ch + stage.upsample = UpSmpl(ch, nxt, tus=i < depth_temporal) + ch = nxt + self.up.append(stage) + + self.norm_out = RMS_norm(ch) + self.conv_out = VideoConv3d(ch, out_channels, 3) + + def forward(self, z): + z = z.permute(0, 2, 1, 3, 4) + b, f, c, h, w = z.shape + z = z.reshape(b, f, 2, c // 2, h, w) + z = z.permute(0, 1, 2, 3, 4, 5).reshape(b, f * 2, c // 2, h, w) + z = z.permute(0, 2, 1, 3, 4) + z = z[:, :, 1:] + + x = self.conv_in(z) + z.repeat_interleave(self.block_out_channels[0] // self.z_channels, 1) + x = self.mid.block_2(self.mid.attn_1(self.mid.block_1(x))) + + for stage in self.up: + for blk in stage.block: + x = blk(x) + if hasattr(stage, 'upsample'): + x = stage.upsample(x) + + return self.conv_out(F.silu(self.norm_out(x))) diff --git a/comfy/ldm/hydit/attn_layers.py b/comfy/ldm/hydit/attn_layers.py new file mode 100644 index 0000000000000000000000000000000000000000..3ca25a5df175bcadd8e50ad34ee0bfcddcb37aa0 --- /dev/null +++ b/comfy/ldm/hydit/attn_layers.py @@ -0,0 +1,218 @@ +import torch +import torch.nn as nn +from typing import Tuple, Union, Optional +from comfy.ldm.modules.attention import optimized_attention + + +def reshape_for_broadcast(freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]], x: torch.Tensor, head_first=False): + """ + Reshape frequency tensor for broadcasting it with another tensor. + + This function reshapes the frequency tensor to have the same shape as the target tensor 'x' + for the purpose of broadcasting the frequency tensor during element-wise operations. + + Args: + freqs_cis (Union[torch.Tensor, Tuple[torch.Tensor]]): Frequency tensor to be reshaped. + x (torch.Tensor): Target tensor for broadcasting compatibility. + head_first (bool): head dimension first (except batch dim) or not. + + Returns: + torch.Tensor: Reshaped frequency tensor. + + Raises: + AssertionError: If the frequency tensor doesn't match the expected shape. + AssertionError: If the target tensor 'x' doesn't have the expected number of dimensions. + """ + ndim = x.ndim + assert 0 <= 1 < ndim + + if isinstance(freqs_cis, tuple): + # freqs_cis: (cos, sin) in real space + if head_first: + assert freqs_cis[0].shape == (x.shape[-2], x.shape[-1]), f'freqs_cis shape {freqs_cis[0].shape} does not match x shape {x.shape}' + shape = [d if i == ndim - 2 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)] + else: + assert freqs_cis[0].shape == (x.shape[1], x.shape[-1]), f'freqs_cis shape {freqs_cis[0].shape} does not match x shape {x.shape}' + shape = [d if i == 1 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)] + return freqs_cis[0].view(*shape), freqs_cis[1].view(*shape) + else: + # freqs_cis: values in complex space + if head_first: + assert freqs_cis.shape == (x.shape[-2], x.shape[-1]), f'freqs_cis shape {freqs_cis.shape} does not match x shape {x.shape}' + shape = [d if i == ndim - 2 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)] + else: + assert freqs_cis.shape == (x.shape[1], x.shape[-1]), f'freqs_cis shape {freqs_cis.shape} does not match x shape {x.shape}' + shape = [d if i == 1 or i == ndim - 1 else 1 for i, d in enumerate(x.shape)] + return freqs_cis.view(*shape) + + +def rotate_half(x): + x_real, x_imag = x.reshape(*x.shape[:-1], -1, 2).unbind(-1) # [B, S, H, D//2] + return torch.stack([-x_imag, x_real], dim=-1).flatten(3) + + +def apply_rotary_emb( + xq: torch.Tensor, + xk: Optional[torch.Tensor], + freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]], + head_first: bool = False, +) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Apply rotary embeddings to input tensors using the given frequency tensor. + + This function applies rotary embeddings to the given query 'xq' and key 'xk' tensors using the provided + frequency tensor 'freqs_cis'. The input tensors are reshaped as complex numbers, and the frequency tensor + is reshaped for broadcasting compatibility. The resulting tensors contain rotary embeddings and are + returned as real tensors. + + Args: + xq (torch.Tensor): Query tensor to apply rotary embeddings. [B, S, H, D] + xk (torch.Tensor): Key tensor to apply rotary embeddings. [B, S, H, D] + freqs_cis (Union[torch.Tensor, Tuple[torch.Tensor]]): Precomputed frequency tensor for complex exponentials. + head_first (bool): head dimension first (except batch dim) or not. + + Returns: + Tuple[torch.Tensor, torch.Tensor]: Tuple of modified query tensor and key tensor with rotary embeddings. + + """ + xk_out = None + if isinstance(freqs_cis, tuple): + cos, sin = reshape_for_broadcast(freqs_cis, xq, head_first) # [S, D] + xq_out = (xq * cos + rotate_half(xq) * sin) + if xk is not None: + xk_out = (xk * cos + rotate_half(xk) * sin) + else: + xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2)) # [B, S, H, D//2] + freqs_cis = reshape_for_broadcast(freqs_cis, xq_, head_first).to(xq.device) # [S, D//2] --> [1, S, 1, D//2] + xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3).type_as(xq) + if xk is not None: + xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2)) # [B, S, H, D//2] + xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3).type_as(xk) + + return xq_out, xk_out + + + +class CrossAttention(nn.Module): + """ + Use QK Normalization. + """ + def __init__(self, + qdim, + kdim, + num_heads, + qkv_bias=True, + qk_norm=False, + attn_drop=0.0, + proj_drop=0.0, + attn_precision=None, + device=None, + dtype=None, + operations=None, + ): + factory_kwargs = {'device': device, 'dtype': dtype} + super().__init__() + self.attn_precision = attn_precision + self.qdim = qdim + self.kdim = kdim + self.num_heads = num_heads + assert self.qdim % num_heads == 0, "self.qdim must be divisible by num_heads" + self.head_dim = self.qdim // num_heads + assert self.head_dim % 8 == 0 and self.head_dim <= 128, "Only support head_dim <= 128 and divisible by 8" + self.scale = self.head_dim ** -0.5 + + self.q_proj = operations.Linear(qdim, qdim, bias=qkv_bias, **factory_kwargs) + self.kv_proj = operations.Linear(kdim, 2 * qdim, bias=qkv_bias, **factory_kwargs) + + # TODO: eps should be 1 / 65530 if using fp16 + self.q_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity() + self.k_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity() + self.attn_drop = nn.Dropout(attn_drop) + self.out_proj = operations.Linear(qdim, qdim, bias=qkv_bias, **factory_kwargs) + self.proj_drop = nn.Dropout(proj_drop) + + def forward(self, x, y, freqs_cis_img=None): + """ + Parameters + ---------- + x: torch.Tensor + (batch, seqlen1, hidden_dim) (where hidden_dim = num heads * head dim) + y: torch.Tensor + (batch, seqlen2, hidden_dim2) + freqs_cis_img: torch.Tensor + (batch, hidden_dim // 2), RoPE for image + """ + b, s1, c = x.shape # [b, s1, D] + _, s2, c = y.shape # [b, s2, 1024] + + q = self.q_proj(x).view(b, s1, self.num_heads, self.head_dim) # [b, s1, h, d] + kv = self.kv_proj(y).view(b, s2, 2, self.num_heads, self.head_dim) # [b, s2, 2, h, d] + k, v = kv.unbind(dim=2) # [b, s, h, d] + q = self.q_norm(q) + k = self.k_norm(k) + + # Apply RoPE if needed + if freqs_cis_img is not None: + qq, _ = apply_rotary_emb(q, None, freqs_cis_img) + assert qq.shape == q.shape, f'qq: {qq.shape}, q: {q.shape}' + q = qq + + q = q.transpose(-2, -3).contiguous() # q -> B, L1, H, C - B, H, L1, C + k = k.transpose(-2, -3).contiguous() # k -> B, L2, H, C - B, H, C, L2 + v = v.transpose(-2, -3).contiguous() + + context = optimized_attention(q, k, v, self.num_heads, skip_reshape=True, attn_precision=self.attn_precision) + + out = self.out_proj(context) # context.reshape - B, L1, -1 + out = self.proj_drop(out) + + out_tuple = (out,) + + return out_tuple + + +class Attention(nn.Module): + """ + We rename some layer names to align with flash attention + """ + def __init__(self, dim, num_heads, qkv_bias=True, qk_norm=False, attn_drop=0., proj_drop=0., attn_precision=None, dtype=None, device=None, operations=None): + super().__init__() + self.attn_precision = attn_precision + self.dim = dim + self.num_heads = num_heads + assert self.dim % num_heads == 0, 'dim should be divisible by num_heads' + self.head_dim = self.dim // num_heads + # This assertion is aligned with flash attention + assert self.head_dim % 8 == 0 and self.head_dim <= 128, "Only support head_dim <= 128 and divisible by 8" + self.scale = self.head_dim ** -0.5 + + # qkv --> Wqkv + self.Wqkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device) + # TODO: eps should be 1 / 65530 if using fp16 + self.q_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity() + self.k_norm = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) if qk_norm else nn.Identity() + self.attn_drop = nn.Dropout(attn_drop) + self.out_proj = operations.Linear(dim, dim, dtype=dtype, device=device) + self.proj_drop = nn.Dropout(proj_drop) + + def forward(self, x, freqs_cis_img=None): + B, N, C = x.shape + qkv = self.Wqkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) # [3, b, h, s, d] + q, k, v = qkv.unbind(0) # [b, h, s, d] + q = self.q_norm(q) # [b, h, s, d] + k = self.k_norm(k) # [b, h, s, d] + + # Apply RoPE if needed + if freqs_cis_img is not None: + qq, kk = apply_rotary_emb(q, k, freqs_cis_img, head_first=True) + assert qq.shape == q.shape and kk.shape == k.shape, \ + f'qq: {qq.shape}, q: {q.shape}, kk: {kk.shape}, k: {k.shape}' + q, k = qq, kk + + x = optimized_attention(q, k, v, self.num_heads, skip_reshape=True, attn_precision=self.attn_precision) + x = self.out_proj(x) + x = self.proj_drop(x) + + out_tuple = (x,) + + return out_tuple diff --git a/comfy/ldm/hydit/controlnet.py b/comfy/ldm/hydit/controlnet.py new file mode 100644 index 0000000000000000000000000000000000000000..31a6bff9409bb5264e552f91197915a136c3964d --- /dev/null +++ b/comfy/ldm/hydit/controlnet.py @@ -0,0 +1,311 @@ + +import torch +import torch.nn as nn + + +from comfy.ldm.modules.diffusionmodules.mmdit import ( + TimestepEmbedder, + PatchEmbed, +) +from .poolers import AttentionPool + +import comfy.latent_formats +from .models import HunYuanDiTBlock, calc_rope + + + +class HunYuanControlNet(nn.Module): + """ + HunYuanDiT: Diffusion model with a Transformer backbone. + + Inherit ModelMixin and ConfigMixin to be compatible with the sampler StableDiffusionPipeline of diffusers. + + Inherit PeftAdapterMixin to be compatible with the PEFT training pipeline. + + Parameters + ---------- + args: argparse.Namespace + The arguments parsed by argparse. + input_size: tuple + The size of the input image. + patch_size: int + The size of the patch. + in_channels: int + The number of input channels. + hidden_size: int + The hidden size of the transformer backbone. + depth: int + The number of transformer blocks. + num_heads: int + The number of attention heads. + mlp_ratio: float + The ratio of the hidden size of the MLP in the transformer block. + log_fn: callable + The logging function. + """ + + def __init__( + self, + input_size: tuple = 128, + patch_size: int = 2, + in_channels: int = 4, + hidden_size: int = 1408, + depth: int = 40, + num_heads: int = 16, + mlp_ratio: float = 4.3637, + text_states_dim=1024, + text_states_dim_t5=2048, + text_len=77, + text_len_t5=256, + qk_norm=True, # See http://arxiv.org/abs/2302.05442 for details. + size_cond=False, + use_style_cond=False, + learn_sigma=True, + norm="layer", + log_fn: callable = print, + attn_precision=None, + dtype=None, + device=None, + operations=None, + **kwargs, + ): + super().__init__() + self.log_fn = log_fn + self.depth = depth + self.learn_sigma = learn_sigma + self.in_channels = in_channels + self.out_channels = in_channels * 2 if learn_sigma else in_channels + self.patch_size = patch_size + self.num_heads = num_heads + self.hidden_size = hidden_size + self.text_states_dim = text_states_dim + self.text_states_dim_t5 = text_states_dim_t5 + self.text_len = text_len + self.text_len_t5 = text_len_t5 + self.size_cond = size_cond + self.use_style_cond = use_style_cond + self.norm = norm + self.dtype = dtype + self.latent_format = comfy.latent_formats.SDXL + + self.mlp_t5 = nn.Sequential( + nn.Linear( + self.text_states_dim_t5, + self.text_states_dim_t5 * 4, + bias=True, + dtype=dtype, + device=device, + ), + nn.SiLU(), + nn.Linear( + self.text_states_dim_t5 * 4, + self.text_states_dim, + bias=True, + dtype=dtype, + device=device, + ), + ) + # learnable replace + self.text_embedding_padding = nn.Parameter( + torch.randn( + self.text_len + self.text_len_t5, + self.text_states_dim, + dtype=dtype, + device=device, + ) + ) + + # Attention pooling + pooler_out_dim = 1024 + self.pooler = AttentionPool( + self.text_len_t5, + self.text_states_dim_t5, + num_heads=8, + output_dim=pooler_out_dim, + dtype=dtype, + device=device, + operations=operations, + ) + + # Dimension of the extra input vectors + self.extra_in_dim = pooler_out_dim + + if self.size_cond: + # Image size and crop size conditions + self.extra_in_dim += 6 * 256 + + if self.use_style_cond: + # Here we use a default learned embedder layer for future extension. + self.style_embedder = nn.Embedding( + 1, hidden_size, dtype=dtype, device=device + ) + self.extra_in_dim += hidden_size + + # Text embedding for `add` + self.x_embedder = PatchEmbed( + input_size, + patch_size, + in_channels, + hidden_size, + dtype=dtype, + device=device, + operations=operations, + ) + self.t_embedder = TimestepEmbedder( + hidden_size, dtype=dtype, device=device, operations=operations + ) + self.extra_embedder = nn.Sequential( + operations.Linear( + self.extra_in_dim, hidden_size * 4, dtype=dtype, device=device + ), + nn.SiLU(), + operations.Linear( + hidden_size * 4, hidden_size, bias=True, dtype=dtype, device=device + ), + ) + + # HUnYuanDiT Blocks + self.blocks = nn.ModuleList( + [ + HunYuanDiTBlock( + hidden_size=hidden_size, + c_emb_size=hidden_size, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + text_states_dim=self.text_states_dim, + qk_norm=qk_norm, + norm_type=self.norm, + skip=False, + attn_precision=attn_precision, + dtype=dtype, + device=device, + operations=operations, + ) + for _ in range(19) + ] + ) + + # Input zero linear for the first block + self.before_proj = operations.Linear(self.hidden_size, self.hidden_size, dtype=dtype, device=device) + + + # Output zero linear for the every block + self.after_proj_list = nn.ModuleList( + [ + + operations.Linear( + self.hidden_size, self.hidden_size, dtype=dtype, device=device + ) + for _ in range(len(self.blocks)) + ] + ) + + def forward( + self, + x, + hint, + timesteps, + context,#encoder_hidden_states=None, + text_embedding_mask=None, + encoder_hidden_states_t5=None, + text_embedding_mask_t5=None, + image_meta_size=None, + style=None, + return_dict=False, + **kwarg, + ): + """ + Forward pass of the encoder. + + Parameters + ---------- + x: torch.Tensor + (B, D, H, W) + t: torch.Tensor + (B) + encoder_hidden_states: torch.Tensor + CLIP text embedding, (B, L_clip, D) + text_embedding_mask: torch.Tensor + CLIP text embedding mask, (B, L_clip) + encoder_hidden_states_t5: torch.Tensor + T5 text embedding, (B, L_t5, D) + text_embedding_mask_t5: torch.Tensor + T5 text embedding mask, (B, L_t5) + image_meta_size: torch.Tensor + (B, 6) + style: torch.Tensor + (B) + cos_cis_img: torch.Tensor + sin_cis_img: torch.Tensor + return_dict: bool + Whether to return a dictionary. + """ + condition = hint + if condition.shape[0] == 1: + condition = torch.repeat_interleave(condition, x.shape[0], dim=0) + + text_states = context # 2,77,1024 + text_states_t5 = encoder_hidden_states_t5 # 2,256,2048 + text_states_mask = text_embedding_mask.bool() # 2,77 + text_states_t5_mask = text_embedding_mask_t5.bool() # 2,256 + b_t5, l_t5, c_t5 = text_states_t5.shape + text_states_t5 = self.mlp_t5(text_states_t5.view(-1, c_t5)).view(b_t5, l_t5, -1) + + padding = comfy.ops.cast_to_input(self.text_embedding_padding, text_states) + + text_states[:, -self.text_len :] = torch.where( + text_states_mask[:, -self.text_len :].unsqueeze(2), + text_states[:, -self.text_len :], + padding[: self.text_len], + ) + text_states_t5[:, -self.text_len_t5 :] = torch.where( + text_states_t5_mask[:, -self.text_len_t5 :].unsqueeze(2), + text_states_t5[:, -self.text_len_t5 :], + padding[self.text_len :], + ) + + text_states = torch.cat([text_states, text_states_t5], dim=1) # 2,205，1024 + + # _, _, oh, ow = x.shape + # th, tw = oh // self.patch_size, ow // self.patch_size + + # Get image RoPE embedding according to `reso`lution. + freqs_cis_img = calc_rope( + x, self.patch_size, self.hidden_size // self.num_heads + ) # (cos_cis_img, sin_cis_img) + + # ========================= Build time and image embedding ========================= + t = self.t_embedder(timesteps, dtype=self.dtype) + x = self.x_embedder(x) + + # ========================= Concatenate all extra vectors ========================= + # Build text tokens with pooling + extra_vec = self.pooler(encoder_hidden_states_t5) + + # Build image meta size tokens if applicable + # if image_meta_size is not None: + # image_meta_size = timestep_embedding(image_meta_size.view(-1), 256) # [B * 6, 256] + # if image_meta_size.dtype != self.dtype: + # image_meta_size = image_meta_size.half() + # image_meta_size = image_meta_size.view(-1, 6 * 256) + # extra_vec = torch.cat([extra_vec, image_meta_size], dim=1) # [B, D + 6 * 256] + + # Build style tokens + if style is not None: + style_embedding = self.style_embedder(style) + extra_vec = torch.cat([extra_vec, style_embedding], dim=1) + + # Concatenate all extra vectors + c = t + self.extra_embedder(extra_vec) # [B, D] + + # ========================= Deal with Condition ========================= + condition = self.x_embedder(condition) + + # ========================= Forward pass through HunYuanDiT blocks ========================= + controls = [] + x = x + self.before_proj(condition) # add condition + for layer, block in enumerate(self.blocks): + x = block(x, c, text_states, freqs_cis_img) + controls.append(self.after_proj_list[layer](x)) # zero linear for output + + return {"output": controls} diff --git a/comfy/ldm/hydit/models.py b/comfy/ldm/hydit/models.py new file mode 100644 index 0000000000000000000000000000000000000000..5ba2b76e0cad3c611fce1e74b024a66a2255b814 --- /dev/null +++ b/comfy/ldm/hydit/models.py @@ -0,0 +1,417 @@ + +import torch +import torch.nn as nn + +import comfy.ops +from comfy.ldm.modules.diffusionmodules.mmdit import Mlp, TimestepEmbedder, PatchEmbed +from comfy.ldm.modules.diffusionmodules.util import timestep_embedding +from torch.utils import checkpoint + +from .attn_layers import Attention, CrossAttention +from .poolers import AttentionPool +from .posemb_layers import get_2d_rotary_pos_embed, get_fill_resize_and_crop + +def calc_rope(x, patch_size, head_size): + th = (x.shape[2] + (patch_size // 2)) // patch_size + tw = (x.shape[3] + (patch_size // 2)) // patch_size + base_size = 512 // 8 // patch_size + start, stop = get_fill_resize_and_crop((th, tw), base_size) + sub_args = [start, stop, (th, tw)] + # head_size = HUNYUAN_DIT_CONFIG['DiT-g/2']['hidden_size'] // HUNYUAN_DIT_CONFIG['DiT-g/2']['num_heads'] + rope = get_2d_rotary_pos_embed(head_size, *sub_args) + rope = (rope[0].to(x), rope[1].to(x)) + return rope + + +def modulate(x, shift, scale): + return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1) + + +class HunYuanDiTBlock(nn.Module): + """ + A HunYuanDiT block with `add` conditioning. + """ + def __init__(self, + hidden_size, + c_emb_size, + num_heads, + mlp_ratio=4.0, + text_states_dim=1024, + qk_norm=False, + norm_type="layer", + skip=False, + attn_precision=None, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + use_ele_affine = True + + if norm_type == "layer": + norm_layer = operations.LayerNorm + elif norm_type == "rms": + norm_layer = operations.RMSNorm + else: + raise ValueError(f"Unknown norm_type: {norm_type}") + + # ========================= Self-Attention ========================= + self.norm1 = norm_layer(hidden_size, elementwise_affine=use_ele_affine, eps=1e-6, dtype=dtype, device=device) + self.attn1 = Attention(hidden_size, num_heads=num_heads, qkv_bias=True, qk_norm=qk_norm, attn_precision=attn_precision, dtype=dtype, device=device, operations=operations) + + # ========================= FFN ========================= + self.norm2 = norm_layer(hidden_size, elementwise_affine=use_ele_affine, eps=1e-6, dtype=dtype, device=device) + mlp_hidden_dim = int(hidden_size * mlp_ratio) + approx_gelu = lambda: nn.GELU(approximate="tanh") + self.mlp = Mlp(in_features=hidden_size, hidden_features=mlp_hidden_dim, act_layer=approx_gelu, drop=0, dtype=dtype, device=device, operations=operations) + + # ========================= Add ========================= + # Simply use add like SDXL. + self.default_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(c_emb_size, hidden_size, bias=True, dtype=dtype, device=device) + ) + + # ========================= Cross-Attention ========================= + self.attn2 = CrossAttention(hidden_size, text_states_dim, num_heads=num_heads, qkv_bias=True, + qk_norm=qk_norm, attn_precision=attn_precision, dtype=dtype, device=device, operations=operations) + self.norm3 = norm_layer(hidden_size, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) + + # ========================= Skip Connection ========================= + if skip: + self.skip_norm = norm_layer(2 * hidden_size, elementwise_affine=True, eps=1e-6, dtype=dtype, device=device) + self.skip_linear = operations.Linear(2 * hidden_size, hidden_size, dtype=dtype, device=device) + else: + self.skip_linear = None + + self.gradient_checkpointing = False + + def _forward(self, x, c=None, text_states=None, freq_cis_img=None, skip=None): + # Long Skip Connection + if self.skip_linear is not None: + cat = torch.cat([x, skip], dim=-1) + if cat.dtype != x.dtype: + cat = cat.to(x.dtype) + cat = self.skip_norm(cat) + x = self.skip_linear(cat) + + # Self-Attention + shift_msa = self.default_modulation(c).unsqueeze(dim=1) + attn_inputs = ( + self.norm1(x) + shift_msa, freq_cis_img, + ) + x = x + self.attn1(*attn_inputs)[0] + + # Cross-Attention + cross_inputs = ( + self.norm3(x), text_states, freq_cis_img + ) + x = x + self.attn2(*cross_inputs)[0] + + # FFN Layer + mlp_inputs = self.norm2(x) + x = x + self.mlp(mlp_inputs) + + return x + + def forward(self, x, c=None, text_states=None, freq_cis_img=None, skip=None): + if self.gradient_checkpointing and self.training: + return checkpoint.checkpoint(self._forward, x, c, text_states, freq_cis_img, skip) + return self._forward(x, c, text_states, freq_cis_img, skip) + + +class FinalLayer(nn.Module): + """ + The final layer of HunYuanDiT. + """ + def __init__(self, final_hidden_size, c_emb_size, patch_size, out_channels, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.LayerNorm(final_hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(final_hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device) + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(c_emb_size, 2 * final_hidden_size, bias=True, dtype=dtype, device=device) + ) + + def forward(self, x, c): + shift, scale = self.adaLN_modulation(c).chunk(2, dim=1) + x = modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + return x + + +class HunYuanDiT(nn.Module): + """ + HunYuanDiT: Diffusion model with a Transformer backbone. + + Inherit ModelMixin and ConfigMixin to be compatible with the sampler StableDiffusionPipeline of diffusers. + + Inherit PeftAdapterMixin to be compatible with the PEFT training pipeline. + + Parameters + ---------- + args: argparse.Namespace + The arguments parsed by argparse. + input_size: tuple + The size of the input image. + patch_size: int + The size of the patch. + in_channels: int + The number of input channels. + hidden_size: int + The hidden size of the transformer backbone. + depth: int + The number of transformer blocks. + num_heads: int + The number of attention heads. + mlp_ratio: float + The ratio of the hidden size of the MLP in the transformer block. + log_fn: callable + The logging function. + """ + #@register_to_config + def __init__(self, + input_size: tuple = 32, + patch_size: int = 2, + in_channels: int = 4, + hidden_size: int = 1152, + depth: int = 28, + num_heads: int = 16, + mlp_ratio: float = 4.0, + text_states_dim = 1024, + text_states_dim_t5 = 2048, + text_len = 77, + text_len_t5 = 256, + qk_norm = True,# See http://arxiv.org/abs/2302.05442 for details. + size_cond = False, + use_style_cond = False, + learn_sigma = True, + norm = "layer", + log_fn: callable = print, + attn_precision=None, + dtype=None, + device=None, + operations=None, + **kwargs, + ): + super().__init__() + self.log_fn = log_fn + self.depth = depth + self.learn_sigma = learn_sigma + self.in_channels = in_channels + self.out_channels = in_channels * 2 if learn_sigma else in_channels + self.patch_size = patch_size + self.num_heads = num_heads + self.hidden_size = hidden_size + self.text_states_dim = text_states_dim + self.text_states_dim_t5 = text_states_dim_t5 + self.text_len = text_len + self.text_len_t5 = text_len_t5 + self.size_cond = size_cond + self.use_style_cond = use_style_cond + self.norm = norm + self.dtype = dtype + #import pdb + #pdb.set_trace() + + self.mlp_t5 = nn.Sequential( + operations.Linear(self.text_states_dim_t5, self.text_states_dim_t5 * 4, bias=True, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(self.text_states_dim_t5 * 4, self.text_states_dim, bias=True, dtype=dtype, device=device), + ) + # learnable replace + self.text_embedding_padding = nn.Parameter( + torch.empty(self.text_len + self.text_len_t5, self.text_states_dim, dtype=dtype, device=device)) + + # Attention pooling + pooler_out_dim = 1024 + self.pooler = AttentionPool(self.text_len_t5, self.text_states_dim_t5, num_heads=8, output_dim=pooler_out_dim, dtype=dtype, device=device, operations=operations) + + # Dimension of the extra input vectors + self.extra_in_dim = pooler_out_dim + + if self.size_cond: + # Image size and crop size conditions + self.extra_in_dim += 6 * 256 + + if self.use_style_cond: + # Here we use a default learned embedder layer for future extension. + self.style_embedder = operations.Embedding(1, hidden_size, dtype=dtype, device=device) + self.extra_in_dim += hidden_size + + # Text embedding for `add` + self.x_embedder = PatchEmbed(input_size, patch_size, in_channels, hidden_size, dtype=dtype, device=device, operations=operations) + self.t_embedder = TimestepEmbedder(hidden_size, dtype=dtype, device=device, operations=operations) + self.extra_embedder = nn.Sequential( + operations.Linear(self.extra_in_dim, hidden_size * 4, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(hidden_size * 4, hidden_size, bias=True, dtype=dtype, device=device), + ) + + # HUnYuanDiT Blocks + self.blocks = nn.ModuleList([ + HunYuanDiTBlock(hidden_size=hidden_size, + c_emb_size=hidden_size, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + text_states_dim=self.text_states_dim, + qk_norm=qk_norm, + norm_type=self.norm, + skip=layer > depth // 2, + attn_precision=attn_precision, + dtype=dtype, + device=device, + operations=operations, + ) + for layer in range(depth) + ]) + + self.final_layer = FinalLayer(hidden_size, hidden_size, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations) + self.unpatchify_channels = self.out_channels + + + + def forward(self, + x, + t, + context,#encoder_hidden_states=None, + text_embedding_mask=None, + encoder_hidden_states_t5=None, + text_embedding_mask_t5=None, + image_meta_size=None, + style=None, + return_dict=False, + control=None, + transformer_options={}, + ): + """ + Forward pass of the encoder. + + Parameters + ---------- + x: torch.Tensor + (B, D, H, W) + t: torch.Tensor + (B) + encoder_hidden_states: torch.Tensor + CLIP text embedding, (B, L_clip, D) + text_embedding_mask: torch.Tensor + CLIP text embedding mask, (B, L_clip) + encoder_hidden_states_t5: torch.Tensor + T5 text embedding, (B, L_t5, D) + text_embedding_mask_t5: torch.Tensor + T5 text embedding mask, (B, L_t5) + image_meta_size: torch.Tensor + (B, 6) + style: torch.Tensor + (B) + cos_cis_img: torch.Tensor + sin_cis_img: torch.Tensor + return_dict: bool + Whether to return a dictionary. + """ + patches_replace = transformer_options.get("patches_replace", {}) + encoder_hidden_states = context + text_states = encoder_hidden_states # 2,77,1024 + text_states_t5 = encoder_hidden_states_t5 # 2,256,2048 + text_states_mask = text_embedding_mask.bool() # 2,77 + text_states_t5_mask = text_embedding_mask_t5.bool() # 2,256 + b_t5, l_t5, c_t5 = text_states_t5.shape + text_states_t5 = self.mlp_t5(text_states_t5.view(-1, c_t5)).view(b_t5, l_t5, -1) + + padding = comfy.ops.cast_to_input(self.text_embedding_padding, text_states) + + text_states[:,-self.text_len:] = torch.where(text_states_mask[:,-self.text_len:].unsqueeze(2), text_states[:,-self.text_len:], padding[:self.text_len]) + text_states_t5[:,-self.text_len_t5:] = torch.where(text_states_t5_mask[:,-self.text_len_t5:].unsqueeze(2), text_states_t5[:,-self.text_len_t5:], padding[self.text_len:]) + + text_states = torch.cat([text_states, text_states_t5], dim=1) # 2,205，1024 + # clip_t5_mask = torch.cat([text_states_mask, text_states_t5_mask], dim=-1) + + _, _, oh, ow = x.shape + th, tw = (oh + (self.patch_size // 2)) // self.patch_size, (ow + (self.patch_size // 2)) // self.patch_size + + + # Get image RoPE embedding according to `reso`lution. + freqs_cis_img = calc_rope(x, self.patch_size, self.hidden_size // self.num_heads) #(cos_cis_img, sin_cis_img) + + # ========================= Build time and image embedding ========================= + t = self.t_embedder(t, dtype=x.dtype) + x = self.x_embedder(x) + + # ========================= Concatenate all extra vectors ========================= + # Build text tokens with pooling + extra_vec = self.pooler(encoder_hidden_states_t5) + + # Build image meta size tokens if applicable + if self.size_cond: + image_meta_size = timestep_embedding(image_meta_size.view(-1), 256).to(x.dtype) # [B * 6, 256] + image_meta_size = image_meta_size.view(-1, 6 * 256) + extra_vec = torch.cat([extra_vec, image_meta_size], dim=1) # [B, D + 6 * 256] + + # Build style tokens + if self.use_style_cond: + if style is None: + style = torch.zeros((extra_vec.shape[0],), device=x.device, dtype=torch.int) + style_embedding = self.style_embedder(style, out_dtype=x.dtype) + extra_vec = torch.cat([extra_vec, style_embedding], dim=1) + + # Concatenate all extra vectors + c = t + self.extra_embedder(extra_vec) # [B, D] + + blocks_replace = patches_replace.get("dit", {}) + + controls = None + if control: + controls = control.get("output", None) + # ========================= Forward pass through HunYuanDiT blocks ========================= + skips = [] + for layer, block in enumerate(self.blocks): + if layer > self.depth // 2: + if controls is not None: + skip = skips.pop() + controls.pop().to(dtype=x.dtype) + else: + skip = skips.pop() + else: + skip = None + + if ("double_block", layer) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], args["vec"], args["txt"], args["pe"], args["skip"]) + return out + + out = blocks_replace[("double_block", layer)]({"img": x, "txt": text_states, "vec": c, "pe": freqs_cis_img, "skip": skip}, {"original_block": block_wrap}) + x = out["img"] + else: + x = block(x, c, text_states, freqs_cis_img, skip) # (N, L, D) + + + if layer < (self.depth // 2 - 1): + skips.append(x) + if controls is not None and len(controls) != 0: + raise ValueError("The number of controls is not equal to the number of skip connections.") + + # ========================= Final layer ========================= + x = self.final_layer(x, c) # (N, L, patch_size ** 2 * out_channels) + x = self.unpatchify(x, th, tw) # (N, out_channels, H, W) + + if return_dict: + return {'x': x} + if self.learn_sigma: + return x[:,:self.out_channels // 2,:oh,:ow] + return x[:,:,:oh,:ow] + + def unpatchify(self, x, h, w): + """ + x: (N, T, patch_size**2 * C) + imgs: (N, H, W, C) + """ + c = self.unpatchify_channels + p = self.x_embedder.patch_size[0] + # h = w = int(x.shape[1] ** 0.5) + assert h * w == x.shape[1] + + x = x.reshape(shape=(x.shape[0], h, w, p, p, c)) + x = torch.einsum('nhwpqc->nchpwq', x) + imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p)) + return imgs diff --git a/comfy/ldm/hydit/poolers.py b/comfy/ldm/hydit/poolers.py new file mode 100644 index 0000000000000000000000000000000000000000..c1b878ed6b0541116794635c5c1b53a7ca13af47 --- /dev/null +++ b/comfy/ldm/hydit/poolers.py @@ -0,0 +1,36 @@ +import torch +import torch.nn as nn +from comfy.ldm.modules.attention import optimized_attention +import comfy.ops + +class AttentionPool(nn.Module): + def __init__(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None, dtype=None, device=None, operations=None): + super().__init__() + self.positional_embedding = nn.Parameter(torch.empty(spacial_dim + 1, embed_dim, dtype=dtype, device=device)) + self.k_proj = operations.Linear(embed_dim, embed_dim, dtype=dtype, device=device) + self.q_proj = operations.Linear(embed_dim, embed_dim, dtype=dtype, device=device) + self.v_proj = operations.Linear(embed_dim, embed_dim, dtype=dtype, device=device) + self.c_proj = operations.Linear(embed_dim, output_dim or embed_dim, dtype=dtype, device=device) + self.num_heads = num_heads + self.embed_dim = embed_dim + + def forward(self, x): + x = x[:,:self.positional_embedding.shape[0] - 1] + x = x.permute(1, 0, 2) # NLC -> LNC + x = torch.cat([x.mean(dim=0, keepdim=True), x], dim=0) # (L+1)NC + x = x + comfy.ops.cast_to_input(self.positional_embedding[:, None, :], x) # (L+1)NC + + q = self.q_proj(x[:1]) + k = self.k_proj(x) + v = self.v_proj(x) + + batch_size = q.shape[1] + head_dim = self.embed_dim // self.num_heads + q = q.view(1, batch_size * self.num_heads, head_dim).transpose(0, 1).view(batch_size, self.num_heads, -1, head_dim) + k = k.view(k.shape[0], batch_size * self.num_heads, head_dim).transpose(0, 1).view(batch_size, self.num_heads, -1, head_dim) + v = v.view(v.shape[0], batch_size * self.num_heads, head_dim).transpose(0, 1).view(batch_size, self.num_heads, -1, head_dim) + + attn_output = optimized_attention(q, k, v, self.num_heads, skip_reshape=True).transpose(0, 1) + + attn_output = self.c_proj(attn_output) + return attn_output.squeeze(0) diff --git a/comfy/ldm/hydit/posemb_layers.py b/comfy/ldm/hydit/posemb_layers.py new file mode 100644 index 0000000000000000000000000000000000000000..dcb41a713cd94ea8472ff26e8865066887b1e486 --- /dev/null +++ b/comfy/ldm/hydit/posemb_layers.py @@ -0,0 +1,224 @@ +import torch +import numpy as np +from typing import Union + + +def _to_tuple(x): + if isinstance(x, int): + return x, x + else: + return x + + +def get_fill_resize_and_crop(src, tgt): + th, tw = _to_tuple(tgt) + h, w = _to_tuple(src) + + tr = th / tw # base resolution + r = h / w # target resolution + + # resize + if r > tr: + resize_height = th + resize_width = int(round(th / h * w)) + else: + resize_width = tw + resize_height = int(round(tw / w * h)) # resize the target resolution down based on the base resolution + + crop_top = int(round((th - resize_height) / 2.0)) + crop_left = int(round((tw - resize_width) / 2.0)) + + return (crop_top, crop_left), (crop_top + resize_height, crop_left + resize_width) + + +def get_meshgrid(start, *args): + if len(args) == 0: + # start is grid_size + num = _to_tuple(start) + start = (0, 0) + stop = num + elif len(args) == 1: + # start is start, args[0] is stop, step is 1 + start = _to_tuple(start) + stop = _to_tuple(args[0]) + num = (stop[0] - start[0], stop[1] - start[1]) + elif len(args) == 2: + # start is start, args[0] is stop, args[1] is num + start = _to_tuple(start) + stop = _to_tuple(args[0]) + num = _to_tuple(args[1]) + else: + raise ValueError(f"len(args) should be 0, 1 or 2, but got {len(args)}") + + grid_h = np.linspace(start[0], stop[0], num[0], endpoint=False, dtype=np.float32) + grid_w = np.linspace(start[1], stop[1], num[1], endpoint=False, dtype=np.float32) + grid = np.meshgrid(grid_w, grid_h) # here w goes first + grid = np.stack(grid, axis=0) # [2, W, H] + return grid + +################################################################################# +# Sine/Cosine Positional Embedding Functions # +################################################################################# +# https://github.com/facebookresearch/mae/blob/main/util/pos_embed.py + +def get_2d_sincos_pos_embed(embed_dim, start, *args, cls_token=False, extra_tokens=0): + """ + grid_size: int of the grid height and width + return: + pos_embed: [grid_size*grid_size, embed_dim] or [1+grid_size*grid_size, embed_dim] (w/ or w/o cls_token) + """ + grid = get_meshgrid(start, *args) # [2, H, w] + # grid_h = np.arange(grid_size, dtype=np.float32) + # grid_w = np.arange(grid_size, dtype=np.float32) + # grid = np.meshgrid(grid_w, grid_h) # here w goes first + # grid = np.stack(grid, axis=0) # [2, W, H] + + grid = grid.reshape([2, 1, *grid.shape[1:]]) + pos_embed = get_2d_sincos_pos_embed_from_grid(embed_dim, grid) + if cls_token and extra_tokens > 0: + pos_embed = np.concatenate([np.zeros([extra_tokens, embed_dim]), pos_embed], axis=0) + return pos_embed + + +def get_2d_sincos_pos_embed_from_grid(embed_dim, grid): + assert embed_dim % 2 == 0 + + # use half of dimensions to encode grid_h + emb_h = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[0]) # (H*W, D/2) + emb_w = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[1]) # (H*W, D/2) + + emb = np.concatenate([emb_h, emb_w], axis=1) # (H*W, D) + return emb + + +def get_1d_sincos_pos_embed_from_grid(embed_dim, pos): + """ + embed_dim: output dimension for each position + pos: a list of positions to be encoded: size (W,H) + out: (M, D) + """ + assert embed_dim % 2 == 0 + omega = np.arange(embed_dim // 2, dtype=np.float64) + omega /= embed_dim / 2. + omega = 1. / 10000**omega # (D/2,) + + pos = pos.reshape(-1) # (M,) + out = np.einsum('m,d->md', pos, omega) # (M, D/2), outer product + + emb_sin = np.sin(out) # (M, D/2) + emb_cos = np.cos(out) # (M, D/2) + + emb = np.concatenate([emb_sin, emb_cos], axis=1) # (M, D) + return emb + + +################################################################################# +# Rotary Positional Embedding Functions # +################################################################################# +# https://github.com/facebookresearch/llama/blob/main/llama/model.py#L443 + +def get_2d_rotary_pos_embed(embed_dim, start, *args, use_real=True): + """ + This is a 2d version of precompute_freqs_cis, which is a RoPE for image tokens with 2d structure. + + Parameters + ---------- + embed_dim: int + embedding dimension size + start: int or tuple of int + If len(args) == 0, start is num; If len(args) == 1, start is start, args[0] is stop, step is 1; + If len(args) == 2, start is start, args[0] is stop, args[1] is num. + use_real: bool + If True, return real part and imaginary part separately. Otherwise, return complex numbers. + + Returns + ------- + pos_embed: torch.Tensor + [HW, D/2] + """ + grid = get_meshgrid(start, *args) # [2, H, w] + grid = grid.reshape([2, 1, *grid.shape[1:]]) # Returns a sampling matrix with the same resolution as the target resolution + pos_embed = get_2d_rotary_pos_embed_from_grid(embed_dim, grid, use_real=use_real) + return pos_embed + + +def get_2d_rotary_pos_embed_from_grid(embed_dim, grid, use_real=False): + assert embed_dim % 4 == 0 + + # use half of dimensions to encode grid_h + emb_h = get_1d_rotary_pos_embed(embed_dim // 2, grid[0].reshape(-1), use_real=use_real) # (H*W, D/4) + emb_w = get_1d_rotary_pos_embed(embed_dim // 2, grid[1].reshape(-1), use_real=use_real) # (H*W, D/4) + + if use_real: + cos = torch.cat([emb_h[0], emb_w[0]], dim=1) # (H*W, D/2) + sin = torch.cat([emb_h[1], emb_w[1]], dim=1) # (H*W, D/2) + return cos, sin + else: + emb = torch.cat([emb_h, emb_w], dim=1) # (H*W, D/2) + return emb + + +def get_1d_rotary_pos_embed(dim: int, pos: Union[np.ndarray, int], theta: float = 10000.0, use_real=False): + """ + Precompute the frequency tensor for complex exponentials (cis) with given dimensions. + + This function calculates a frequency tensor with complex exponentials using the given dimension 'dim' + and the end index 'end'. The 'theta' parameter scales the frequencies. + The returned tensor contains complex values in complex64 data type. + + Args: + dim (int): Dimension of the frequency tensor. + pos (np.ndarray, int): Position indices for the frequency tensor. [S] or scalar + theta (float, optional): Scaling factor for frequency computation. Defaults to 10000.0. + use_real (bool, optional): If True, return real part and imaginary part separately. + Otherwise, return complex numbers. + + Returns: + torch.Tensor: Precomputed frequency tensor with complex exponentials. [S, D/2] + + """ + if isinstance(pos, int): + pos = np.arange(pos) + freqs = 1.0 / (theta ** (torch.arange(0, dim, 2)[: (dim // 2)].float() / dim)) # [D/2] + t = torch.from_numpy(pos).to(freqs.device) # type: ignore # [S] + freqs = torch.outer(t, freqs).float() # type: ignore # [S, D/2] + if use_real: + freqs_cos = freqs.cos().repeat_interleave(2, dim=1) # [S, D] + freqs_sin = freqs.sin().repeat_interleave(2, dim=1) # [S, D] + return freqs_cos, freqs_sin + else: + freqs_cis = torch.polar(torch.ones_like(freqs), freqs) # complex64 # [S, D/2] + return freqs_cis + + + +def calc_sizes(rope_img, patch_size, th, tw): + if rope_img == 'extend': + # Expansion mode + sub_args = [(th, tw)] + elif rope_img.startswith('base'): + # Based on the specified dimensions, other dimensions are obtained through interpolation. + base_size = int(rope_img[4:]) // 8 // patch_size + start, stop = get_fill_resize_and_crop((th, tw), base_size) + sub_args = [start, stop, (th, tw)] + else: + raise ValueError(f"Unknown rope_img: {rope_img}") + return sub_args + + +def init_image_posemb(rope_img, + resolutions, + patch_size, + hidden_size, + num_heads, + log_fn, + rope_real=True, + ): + freqs_cis_img = {} + for reso in resolutions: + th, tw = reso.height // 8 // patch_size, reso.width // 8 // patch_size + sub_args = calc_sizes(rope_img, patch_size, th, tw) + freqs_cis_img[str(reso)] = get_2d_rotary_pos_embed(hidden_size // num_heads, *sub_args, use_real=rope_real) + log_fn(f" Using image RoPE ({rope_img}) ({'real' if rope_real else 'complex'}): {sub_args} | ({reso}) " + f"{freqs_cis_img[str(reso)][0].shape if rope_real else freqs_cis_img[str(reso)].shape}") + return freqs_cis_img diff --git a/comfy/ldm/lightricks/model.py b/comfy/ldm/lightricks/model.py new file mode 100644 index 0000000000000000000000000000000000000000..def365ba70b87906b189a6d3d7ac42182a4aeb37 --- /dev/null +++ b/comfy/ldm/lightricks/model.py @@ -0,0 +1,515 @@ +import torch +from torch import nn +import comfy.patcher_extension +import comfy.ldm.modules.attention +import comfy.ldm.common_dit +from einops import rearrange +import math +from typing import Dict, Optional, Tuple + +from .symmetric_patchifier import SymmetricPatchifier, latent_to_pixel_coords + + +def get_timestep_embedding( + timesteps: torch.Tensor, + embedding_dim: int, + flip_sin_to_cos: bool = False, + downscale_freq_shift: float = 1, + scale: float = 1, + max_period: int = 10000, +): + """ + This matches the implementation in Denoising Diffusion Probabilistic Models: Create sinusoidal timestep embeddings. + + Args + timesteps (torch.Tensor): + a 1-D Tensor of N indices, one per batch element. These may be fractional. + embedding_dim (int): + the dimension of the output. + flip_sin_to_cos (bool): + Whether the embedding order should be `cos, sin` (if True) or `sin, cos` (if False) + downscale_freq_shift (float): + Controls the delta between frequencies between dimensions + scale (float): + Scaling factor applied to the embeddings. + max_period (int): + Controls the maximum frequency of the embeddings + Returns + torch.Tensor: an [N x dim] Tensor of positional embeddings. + """ + assert len(timesteps.shape) == 1, "Timesteps should be a 1d-array" + + half_dim = embedding_dim // 2 + exponent = -math.log(max_period) * torch.arange( + start=0, end=half_dim, dtype=torch.float32, device=timesteps.device + ) + exponent = exponent / (half_dim - downscale_freq_shift) + + emb = torch.exp(exponent) + emb = timesteps[:, None].float() * emb[None, :] + + # scale embeddings + emb = scale * emb + + # concat sine and cosine embeddings + emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1) + + # flip sine and cosine embeddings + if flip_sin_to_cos: + emb = torch.cat([emb[:, half_dim:], emb[:, :half_dim]], dim=-1) + + # zero pad + if embedding_dim % 2 == 1: + emb = torch.nn.functional.pad(emb, (0, 1, 0, 0)) + return emb + + +class TimestepEmbedding(nn.Module): + def __init__( + self, + in_channels: int, + time_embed_dim: int, + act_fn: str = "silu", + out_dim: int = None, + post_act_fn: Optional[str] = None, + cond_proj_dim=None, + sample_proj_bias=True, + dtype=None, device=None, operations=None, + ): + super().__init__() + + self.linear_1 = operations.Linear(in_channels, time_embed_dim, sample_proj_bias, dtype=dtype, device=device) + + if cond_proj_dim is not None: + self.cond_proj = operations.Linear(cond_proj_dim, in_channels, bias=False, dtype=dtype, device=device) + else: + self.cond_proj = None + + self.act = nn.SiLU() + + if out_dim is not None: + time_embed_dim_out = out_dim + else: + time_embed_dim_out = time_embed_dim + self.linear_2 = operations.Linear(time_embed_dim, time_embed_dim_out, sample_proj_bias, dtype=dtype, device=device) + + if post_act_fn is None: + self.post_act = None + # else: + # self.post_act = get_activation(post_act_fn) + + def forward(self, sample, condition=None): + if condition is not None: + sample = sample + self.cond_proj(condition) + sample = self.linear_1(sample) + + if self.act is not None: + sample = self.act(sample) + + sample = self.linear_2(sample) + + if self.post_act is not None: + sample = self.post_act(sample) + return sample + + +class Timesteps(nn.Module): + def __init__(self, num_channels: int, flip_sin_to_cos: bool, downscale_freq_shift: float, scale: int = 1): + super().__init__() + self.num_channels = num_channels + self.flip_sin_to_cos = flip_sin_to_cos + self.downscale_freq_shift = downscale_freq_shift + self.scale = scale + + def forward(self, timesteps): + t_emb = get_timestep_embedding( + timesteps, + self.num_channels, + flip_sin_to_cos=self.flip_sin_to_cos, + downscale_freq_shift=self.downscale_freq_shift, + scale=self.scale, + ) + return t_emb + + +class PixArtAlphaCombinedTimestepSizeEmbeddings(nn.Module): + """ + For PixArt-Alpha. + + Reference: + https://github.com/PixArt-alpha/PixArt-alpha/blob/0f55e922376d8b797edd44d25d0e7464b260dcab/diffusion/model/nets/PixArtMS.py#L164C9-L168C29 + """ + + def __init__(self, embedding_dim, size_emb_dim, use_additional_conditions: bool = False, dtype=None, device=None, operations=None): + super().__init__() + + self.outdim = size_emb_dim + self.time_proj = Timesteps(num_channels=256, flip_sin_to_cos=True, downscale_freq_shift=0) + self.timestep_embedder = TimestepEmbedding(in_channels=256, time_embed_dim=embedding_dim, dtype=dtype, device=device, operations=operations) + + def forward(self, timestep, resolution, aspect_ratio, batch_size, hidden_dtype): + timesteps_proj = self.time_proj(timestep) + timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=hidden_dtype)) # (N, D) + return timesteps_emb + + +class AdaLayerNormSingle(nn.Module): + r""" + Norm layer adaptive layer norm single (adaLN-single). + + As proposed in PixArt-Alpha (see: https://arxiv.org/abs/2310.00426; Section 2.3). + + Parameters: + embedding_dim (`int`): The size of each embedding vector. + use_additional_conditions (`bool`): To use additional conditions for normalization or not. + """ + + def __init__(self, embedding_dim: int, use_additional_conditions: bool = False, dtype=None, device=None, operations=None): + super().__init__() + + self.emb = PixArtAlphaCombinedTimestepSizeEmbeddings( + embedding_dim, size_emb_dim=embedding_dim // 3, use_additional_conditions=use_additional_conditions, dtype=dtype, device=device, operations=operations + ) + + self.silu = nn.SiLU() + self.linear = operations.Linear(embedding_dim, 6 * embedding_dim, bias=True, dtype=dtype, device=device) + + def forward( + self, + timestep: torch.Tensor, + added_cond_kwargs: Optional[Dict[str, torch.Tensor]] = None, + batch_size: Optional[int] = None, + hidden_dtype: Optional[torch.dtype] = None, + ) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + # No modulation happening here. + added_cond_kwargs = added_cond_kwargs or {"resolution": None, "aspect_ratio": None} + embedded_timestep = self.emb(timestep, **added_cond_kwargs, batch_size=batch_size, hidden_dtype=hidden_dtype) + return self.linear(self.silu(embedded_timestep)), embedded_timestep + +class PixArtAlphaTextProjection(nn.Module): + """ + Projects caption embeddings. Also handles dropout for classifier-free guidance. + + Adapted from https://github.com/PixArt-alpha/PixArt-alpha/blob/master/diffusion/model/nets/PixArt_blocks.py + """ + + def __init__(self, in_features, hidden_size, out_features=None, act_fn="gelu_tanh", dtype=None, device=None, operations=None): + super().__init__() + if out_features is None: + out_features = hidden_size + self.linear_1 = operations.Linear(in_features=in_features, out_features=hidden_size, bias=True, dtype=dtype, device=device) + if act_fn == "gelu_tanh": + self.act_1 = nn.GELU(approximate="tanh") + elif act_fn == "silu": + self.act_1 = nn.SiLU() + else: + raise ValueError(f"Unknown activation function: {act_fn}") + self.linear_2 = operations.Linear(in_features=hidden_size, out_features=out_features, bias=True, dtype=dtype, device=device) + + def forward(self, caption): + hidden_states = self.linear_1(caption) + hidden_states = self.act_1(hidden_states) + hidden_states = self.linear_2(hidden_states) + return hidden_states + + +class GELU_approx(nn.Module): + def __init__(self, dim_in, dim_out, dtype=None, device=None, operations=None): + super().__init__() + self.proj = operations.Linear(dim_in, dim_out, dtype=dtype, device=device) + + def forward(self, x): + return torch.nn.functional.gelu(self.proj(x), approximate="tanh") + + +class FeedForward(nn.Module): + def __init__(self, dim, dim_out, mult=4, glu=False, dropout=0., dtype=None, device=None, operations=None): + super().__init__() + inner_dim = int(dim * mult) + project_in = GELU_approx(dim, inner_dim, dtype=dtype, device=device, operations=operations) + + self.net = nn.Sequential( + project_in, + nn.Dropout(dropout), + operations.Linear(inner_dim, dim_out, dtype=dtype, device=device) + ) + + def forward(self, x): + return self.net(x) + + +def apply_rotary_emb(input_tensor, freqs_cis): #TODO: remove duplicate funcs and pick the best/fastest one + cos_freqs = freqs_cis[0] + sin_freqs = freqs_cis[1] + + t_dup = rearrange(input_tensor, "... (d r) -> ... d r", r=2) + t1, t2 = t_dup.unbind(dim=-1) + t_dup = torch.stack((-t2, t1), dim=-1) + input_tensor_rot = rearrange(t_dup, "... d r -> ... (d r)") + + out = input_tensor * cos_freqs + input_tensor_rot * sin_freqs + + return out + + +class CrossAttention(nn.Module): + def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., attn_precision=None, dtype=None, device=None, operations=None): + super().__init__() + inner_dim = dim_head * heads + context_dim = query_dim if context_dim is None else context_dim + self.attn_precision = attn_precision + + self.heads = heads + self.dim_head = dim_head + + self.q_norm = operations.RMSNorm(inner_dim, eps=1e-5, dtype=dtype, device=device) + self.k_norm = operations.RMSNorm(inner_dim, eps=1e-5, dtype=dtype, device=device) + + self.to_q = operations.Linear(query_dim, inner_dim, bias=True, dtype=dtype, device=device) + self.to_k = operations.Linear(context_dim, inner_dim, bias=True, dtype=dtype, device=device) + self.to_v = operations.Linear(context_dim, inner_dim, bias=True, dtype=dtype, device=device) + + self.to_out = nn.Sequential(operations.Linear(inner_dim, query_dim, dtype=dtype, device=device), nn.Dropout(dropout)) + + def forward(self, x, context=None, mask=None, pe=None, transformer_options={}): + q = self.to_q(x) + context = x if context is None else context + k = self.to_k(context) + v = self.to_v(context) + + q = self.q_norm(q) + k = self.k_norm(k) + + if pe is not None: + q = apply_rotary_emb(q, pe) + k = apply_rotary_emb(k, pe) + + if mask is None: + out = comfy.ldm.modules.attention.optimized_attention(q, k, v, self.heads, attn_precision=self.attn_precision, transformer_options=transformer_options) + else: + out = comfy.ldm.modules.attention.optimized_attention_masked(q, k, v, self.heads, mask, attn_precision=self.attn_precision, transformer_options=transformer_options) + return self.to_out(out) + + +class BasicTransformerBlock(nn.Module): + def __init__(self, dim, n_heads, d_head, context_dim=None, attn_precision=None, dtype=None, device=None, operations=None): + super().__init__() + + self.attn_precision = attn_precision + self.attn1 = CrossAttention(query_dim=dim, heads=n_heads, dim_head=d_head, context_dim=None, attn_precision=self.attn_precision, dtype=dtype, device=device, operations=operations) + self.ff = FeedForward(dim, dim_out=dim, glu=True, dtype=dtype, device=device, operations=operations) + + self.attn2 = CrossAttention(query_dim=dim, context_dim=context_dim, heads=n_heads, dim_head=d_head, attn_precision=self.attn_precision, dtype=dtype, device=device, operations=operations) + + self.scale_shift_table = nn.Parameter(torch.empty(6, dim, device=device, dtype=dtype)) + + def forward(self, x, context=None, attention_mask=None, timestep=None, pe=None, transformer_options={}): + shift_msa, scale_msa, gate_msa, shift_mlp, scale_mlp, gate_mlp = (self.scale_shift_table[None, None].to(device=x.device, dtype=x.dtype) + timestep.reshape(x.shape[0], timestep.shape[1], self.scale_shift_table.shape[0], -1)).unbind(dim=2) + + x += self.attn1(comfy.ldm.common_dit.rms_norm(x) * (1 + scale_msa) + shift_msa, pe=pe, transformer_options=transformer_options) * gate_msa + + x += self.attn2(x, context=context, mask=attention_mask, transformer_options=transformer_options) + + y = comfy.ldm.common_dit.rms_norm(x) * (1 + scale_mlp) + shift_mlp + x += self.ff(y) * gate_mlp + + return x + +def get_fractional_positions(indices_grid, max_pos): + fractional_positions = torch.stack( + [ + indices_grid[:, i] / max_pos[i] + for i in range(3) + ], + dim=-1, + ) + return fractional_positions + + +def precompute_freqs_cis(indices_grid, dim, out_dtype, theta=10000.0, max_pos=[20, 2048, 2048]): + dtype = torch.float32 #self.dtype + + fractional_positions = get_fractional_positions(indices_grid, max_pos) + + start = 1 + end = theta + device = fractional_positions.device + + indices = theta ** ( + torch.linspace( + math.log(start, theta), + math.log(end, theta), + dim // 6, + device=device, + dtype=dtype, + ) + ) + indices = indices.to(dtype=dtype) + + indices = indices * math.pi / 2 + + freqs = ( + (indices * (fractional_positions.unsqueeze(-1) * 2 - 1)) + .transpose(-1, -2) + .flatten(2) + ) + + cos_freq = freqs.cos().repeat_interleave(2, dim=-1) + sin_freq = freqs.sin().repeat_interleave(2, dim=-1) + if dim % 6 != 0: + cos_padding = torch.ones_like(cos_freq[:, :, : dim % 6]) + sin_padding = torch.zeros_like(cos_freq[:, :, : dim % 6]) + cos_freq = torch.cat([cos_padding, cos_freq], dim=-1) + sin_freq = torch.cat([sin_padding, sin_freq], dim=-1) + return cos_freq.to(out_dtype), sin_freq.to(out_dtype) + + +class LTXVModel(torch.nn.Module): + def __init__(self, + in_channels=128, + cross_attention_dim=2048, + attention_head_dim=64, + num_attention_heads=32, + + caption_channels=4096, + num_layers=28, + + + positional_embedding_theta=10000.0, + positional_embedding_max_pos=[20, 2048, 2048], + causal_temporal_positioning=False, + vae_scale_factors=(8, 32, 32), + dtype=None, device=None, operations=None, **kwargs): + super().__init__() + self.generator = None + self.vae_scale_factors = vae_scale_factors + self.dtype = dtype + self.out_channels = in_channels + self.inner_dim = num_attention_heads * attention_head_dim + self.causal_temporal_positioning = causal_temporal_positioning + + self.patchify_proj = operations.Linear(in_channels, self.inner_dim, bias=True, dtype=dtype, device=device) + + self.adaln_single = AdaLayerNormSingle( + self.inner_dim, use_additional_conditions=False, dtype=dtype, device=device, operations=operations + ) + + # self.adaln_single.linear = operations.Linear(self.inner_dim, 4 * self.inner_dim, bias=True, dtype=dtype, device=device) + + self.caption_projection = PixArtAlphaTextProjection( + in_features=caption_channels, hidden_size=self.inner_dim, dtype=dtype, device=device, operations=operations + ) + + self.transformer_blocks = nn.ModuleList( + [ + BasicTransformerBlock( + self.inner_dim, + num_attention_heads, + attention_head_dim, + context_dim=cross_attention_dim, + # attn_precision=attn_precision, + dtype=dtype, device=device, operations=operations + ) + for d in range(num_layers) + ] + ) + + self.scale_shift_table = nn.Parameter(torch.empty(2, self.inner_dim, dtype=dtype, device=device)) + self.norm_out = operations.LayerNorm(self.inner_dim, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.proj_out = operations.Linear(self.inner_dim, self.out_channels, dtype=dtype, device=device) + + self.patchifier = SymmetricPatchifier(1) + + def forward(self, x, timestep, context, attention_mask, frame_rate=25, transformer_options={}, keyframe_idxs=None, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, attention_mask, frame_rate, transformer_options, keyframe_idxs, **kwargs) + + def _forward(self, x, timestep, context, attention_mask, frame_rate=25, transformer_options={}, keyframe_idxs=None, **kwargs): + patches_replace = transformer_options.get("patches_replace", {}) + + orig_shape = list(x.shape) + + x, latent_coords = self.patchifier.patchify(x) + pixel_coords = latent_to_pixel_coords( + latent_coords=latent_coords, + scale_factors=self.vae_scale_factors, + causal_fix=self.causal_temporal_positioning, + ) + + if keyframe_idxs is not None: + pixel_coords[:, :, -keyframe_idxs.shape[2]:] = keyframe_idxs + + fractional_coords = pixel_coords.to(torch.float32) + fractional_coords[:, 0] = fractional_coords[:, 0] * (1.0 / frame_rate) + + x = self.patchify_proj(x) + timestep = timestep * 1000.0 + + if attention_mask is not None and not torch.is_floating_point(attention_mask): + attention_mask = (attention_mask - 1).to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])) * torch.finfo(x.dtype).max + + pe = precompute_freqs_cis(fractional_coords, dim=self.inner_dim, out_dtype=x.dtype) + + batch_size = x.shape[0] + timestep, embedded_timestep = self.adaln_single( + timestep.flatten(), + {"resolution": None, "aspect_ratio": None}, + batch_size=batch_size, + hidden_dtype=x.dtype, + ) + # Second dimension is 1 or number of tokens (if timestep_per_token) + timestep = timestep.view(batch_size, -1, timestep.shape[-1]) + embedded_timestep = embedded_timestep.view( + batch_size, -1, embedded_timestep.shape[-1] + ) + + # 2. Blocks + if self.caption_projection is not None: + batch_size = x.shape[0] + context = self.caption_projection(context) + context = context.view( + batch_size, -1, x.shape[-1] + ) + + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.transformer_blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], context=args["txt"], attention_mask=args["attention_mask"], timestep=args["vec"], pe=args["pe"], transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "attention_mask": attention_mask, "vec": timestep, "pe": pe, "transformer_options": transformer_options}, {"original_block": block_wrap}) + x = out["img"] + else: + x = block( + x, + context=context, + attention_mask=attention_mask, + timestep=timestep, + pe=pe, + transformer_options=transformer_options, + ) + + # 3. Output + scale_shift_values = ( + self.scale_shift_table[None, None].to(device=x.device, dtype=x.dtype) + embedded_timestep[:, :, None] + ) + shift, scale = scale_shift_values[:, :, 0], scale_shift_values[:, :, 1] + x = self.norm_out(x) + # Modulation + x = x * (1 + scale) + shift + x = self.proj_out(x) + + x = self.patchifier.unpatchify( + latents=x, + output_height=orig_shape[3], + output_width=orig_shape[4], + output_num_frames=orig_shape[2], + out_channels=orig_shape[1] // math.prod(self.patchifier.patch_size), + ) + + return x diff --git a/comfy/ldm/lightricks/symmetric_patchifier.py b/comfy/ldm/lightricks/symmetric_patchifier.py new file mode 100644 index 0000000000000000000000000000000000000000..4b9972b9fb589bb5516c64dd557c0914dda45116 --- /dev/null +++ b/comfy/ldm/lightricks/symmetric_patchifier.py @@ -0,0 +1,117 @@ +from abc import ABC, abstractmethod +from typing import Tuple + +import torch +from einops import rearrange +from torch import Tensor + + +def latent_to_pixel_coords( + latent_coords: Tensor, scale_factors: Tuple[int, int, int], causal_fix: bool = False +) -> Tensor: + """ + Converts latent coordinates to pixel coordinates by scaling them according to the VAE's + configuration. + Args: + latent_coords (Tensor): A tensor of shape [batch_size, 3, num_latents] + containing the latent corner coordinates of each token. + scale_factors (Tuple[int, int, int]): The scale factors of the VAE's latent space. + causal_fix (bool): Whether to take into account the different temporal scale + of the first frame. Default = False for backwards compatibility. + Returns: + Tensor: A tensor of pixel coordinates corresponding to the input latent coordinates. + """ + pixel_coords = ( + latent_coords + * torch.tensor(scale_factors, device=latent_coords.device)[None, :, None] + ) + if causal_fix: + # Fix temporal scale for first frame to 1 due to causality + pixel_coords[:, 0] = (pixel_coords[:, 0] + 1 - scale_factors[0]).clamp(min=0) + return pixel_coords + + +class Patchifier(ABC): + def __init__(self, patch_size: int): + super().__init__() + self._patch_size = (1, patch_size, patch_size) + + @abstractmethod + def patchify( + self, latents: Tensor, frame_rates: Tensor, scale_grid: bool + ) -> Tuple[Tensor, Tensor]: + pass + + @abstractmethod + def unpatchify( + self, + latents: Tensor, + output_height: int, + output_width: int, + output_num_frames: int, + out_channels: int, + ) -> Tuple[Tensor, Tensor]: + pass + + @property + def patch_size(self): + return self._patch_size + + def get_latent_coords( + self, latent_num_frames, latent_height, latent_width, batch_size, device + ): + """ + Return a tensor of shape [batch_size, 3, num_patches] containing the + top-left corner latent coordinates of each latent patch. + The tensor is repeated for each batch element. + """ + latent_sample_coords = torch.meshgrid( + torch.arange(0, latent_num_frames, self._patch_size[0], device=device), + torch.arange(0, latent_height, self._patch_size[1], device=device), + torch.arange(0, latent_width, self._patch_size[2], device=device), + indexing="ij", + ) + latent_sample_coords = torch.stack(latent_sample_coords, dim=0) + latent_coords = latent_sample_coords.unsqueeze(0).repeat(batch_size, 1, 1, 1, 1) + latent_coords = rearrange( + latent_coords, "b c f h w -> b c (f h w)", b=batch_size + ) + return latent_coords + + +class SymmetricPatchifier(Patchifier): + def patchify( + self, + latents: Tensor, + ) -> Tuple[Tensor, Tensor]: + b, _, f, h, w = latents.shape + latent_coords = self.get_latent_coords(f, h, w, b, latents.device) + latents = rearrange( + latents, + "b c (f p1) (h p2) (w p3) -> b (f h w) (c p1 p2 p3)", + p1=self._patch_size[0], + p2=self._patch_size[1], + p3=self._patch_size[2], + ) + return latents, latent_coords + + def unpatchify( + self, + latents: Tensor, + output_height: int, + output_width: int, + output_num_frames: int, + out_channels: int, + ) -> Tuple[Tensor, Tensor]: + output_height = output_height // self._patch_size[1] + output_width = output_width // self._patch_size[2] + latents = rearrange( + latents, + "b (f h w) (c p q) -> b c f (h p) (w q) ", + f=output_num_frames, + h=output_height, + w=output_width, + p=self._patch_size[1], + q=self._patch_size[2], + ) + return latents diff --git a/comfy/ldm/lightricks/vae/causal_conv3d.py b/comfy/ldm/lightricks/vae/causal_conv3d.py new file mode 100644 index 0000000000000000000000000000000000000000..70d612e86376c86bd73a95df620a5434871ee2c7 --- /dev/null +++ b/comfy/ldm/lightricks/vae/causal_conv3d.py @@ -0,0 +1,65 @@ +from typing import Tuple, Union + +import torch +import torch.nn as nn +import comfy.ops +ops = comfy.ops.disable_weight_init + + +class CausalConv3d(nn.Module): + def __init__( + self, + in_channels, + out_channels, + kernel_size: int = 3, + stride: Union[int, Tuple[int]] = 1, + dilation: int = 1, + groups: int = 1, + spatial_padding_mode: str = "zeros", + **kwargs, + ): + super().__init__() + + self.in_channels = in_channels + self.out_channels = out_channels + + kernel_size = (kernel_size, kernel_size, kernel_size) + self.time_kernel_size = kernel_size[0] + + dilation = (dilation, 1, 1) + + height_pad = kernel_size[1] // 2 + width_pad = kernel_size[2] // 2 + padding = (0, height_pad, width_pad) + + self.conv = ops.Conv3d( + in_channels, + out_channels, + kernel_size, + stride=stride, + dilation=dilation, + padding=padding, + padding_mode=spatial_padding_mode, + groups=groups, + ) + + def forward(self, x, causal: bool = True): + if causal: + first_frame_pad = x[:, :, :1, :, :].repeat( + (1, 1, self.time_kernel_size - 1, 1, 1) + ) + x = torch.concatenate((first_frame_pad, x), dim=2) + else: + first_frame_pad = x[:, :, :1, :, :].repeat( + (1, 1, (self.time_kernel_size - 1) // 2, 1, 1) + ) + last_frame_pad = x[:, :, -1:, :, :].repeat( + (1, 1, (self.time_kernel_size - 1) // 2, 1, 1) + ) + x = torch.concatenate((first_frame_pad, x, last_frame_pad), dim=2) + x = self.conv(x) + return x + + @property + def weight(self): + return self.conv.weight diff --git a/comfy/ldm/lightricks/vae/causal_video_autoencoder.py b/comfy/ldm/lightricks/vae/causal_video_autoencoder.py new file mode 100644 index 0000000000000000000000000000000000000000..75ed069ad45dc2f915f0c749f1afc3536d292e33 --- /dev/null +++ b/comfy/ldm/lightricks/vae/causal_video_autoencoder.py @@ -0,0 +1,1092 @@ +from __future__ import annotations +import torch +from torch import nn +from functools import partial +import math +from einops import rearrange +from typing import List, Optional, Tuple, Union +from .conv_nd_factory import make_conv_nd, make_linear_nd +from .pixel_norm import PixelNorm +from ..model import PixArtAlphaCombinedTimestepSizeEmbeddings +import comfy.ops + +ops = comfy.ops.disable_weight_init + +class Encoder(nn.Module): + r""" + The `Encoder` layer of a variational autoencoder that encodes its input into a latent representation. + + Args: + dims (`int` or `Tuple[int, int]`, *optional*, defaults to 3): + The number of dimensions to use in convolutions. + in_channels (`int`, *optional*, defaults to 3): + The number of input channels. + out_channels (`int`, *optional*, defaults to 3): + The number of output channels. + blocks (`List[Tuple[str, int]]`, *optional*, defaults to `[("res_x", 1)]`): + The blocks to use. Each block is a tuple of the block name and the number of layers. + base_channels (`int`, *optional*, defaults to 128): + The number of output channels for the first convolutional layer. + norm_num_groups (`int`, *optional*, defaults to 32): + The number of groups for normalization. + patch_size (`int`, *optional*, defaults to 1): + The patch size to use. Should be a power of 2. + norm_layer (`str`, *optional*, defaults to `group_norm`): + The normalization layer to use. Can be either `group_norm` or `pixel_norm`. + latent_log_var (`str`, *optional*, defaults to `per_channel`): + The number of channels for the log variance. Can be either `per_channel`, `uniform`, `constant` or `none`. + """ + + def __init__( + self, + dims: Union[int, Tuple[int, int]] = 3, + in_channels: int = 3, + out_channels: int = 3, + blocks: List[Tuple[str, int | dict]] = [("res_x", 1)], + base_channels: int = 128, + norm_num_groups: int = 32, + patch_size: Union[int, Tuple[int]] = 1, + norm_layer: str = "group_norm", # group_norm, pixel_norm + latent_log_var: str = "per_channel", + spatial_padding_mode: str = "zeros", + ): + super().__init__() + self.patch_size = patch_size + self.norm_layer = norm_layer + self.latent_channels = out_channels + self.latent_log_var = latent_log_var + self.blocks_desc = blocks + + in_channels = in_channels * patch_size**2 + output_channel = base_channels + + self.conv_in = make_conv_nd( + dims=dims, + in_channels=in_channels, + out_channels=output_channel, + kernel_size=3, + stride=1, + padding=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + self.down_blocks = nn.ModuleList([]) + + for block_name, block_params in blocks: + input_channel = output_channel + if isinstance(block_params, int): + block_params = {"num_layers": block_params} + + if block_name == "res_x": + block = UNetMidBlock3D( + dims=dims, + in_channels=input_channel, + num_layers=block_params["num_layers"], + resnet_eps=1e-6, + resnet_groups=norm_num_groups, + norm_layer=norm_layer, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "res_x_y": + output_channel = block_params.get("multiplier", 2) * output_channel + block = ResnetBlock3D( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + eps=1e-6, + groups=norm_num_groups, + norm_layer=norm_layer, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_time": + block = make_conv_nd( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + kernel_size=3, + stride=(2, 1, 1), + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_space": + block = make_conv_nd( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + kernel_size=3, + stride=(1, 2, 2), + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_all": + block = make_conv_nd( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + kernel_size=3, + stride=(2, 2, 2), + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_all_x_y": + output_channel = block_params.get("multiplier", 2) * output_channel + block = make_conv_nd( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + kernel_size=3, + stride=(2, 2, 2), + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_all_res": + output_channel = block_params.get("multiplier", 2) * output_channel + block = SpaceToDepthDownsample( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + stride=(2, 2, 2), + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_space_res": + output_channel = block_params.get("multiplier", 2) * output_channel + block = SpaceToDepthDownsample( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + stride=(1, 2, 2), + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_time_res": + output_channel = block_params.get("multiplier", 2) * output_channel + block = SpaceToDepthDownsample( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + stride=(2, 1, 1), + spatial_padding_mode=spatial_padding_mode, + ) + else: + raise ValueError(f"unknown block: {block_name}") + + self.down_blocks.append(block) + + # out + if norm_layer == "group_norm": + self.conv_norm_out = nn.GroupNorm( + num_channels=output_channel, num_groups=norm_num_groups, eps=1e-6 + ) + elif norm_layer == "pixel_norm": + self.conv_norm_out = PixelNorm() + elif norm_layer == "layer_norm": + self.conv_norm_out = LayerNorm(output_channel, eps=1e-6) + + self.conv_act = nn.SiLU() + + conv_out_channels = out_channels + if latent_log_var == "per_channel": + conv_out_channels *= 2 + elif latent_log_var == "uniform": + conv_out_channels += 1 + elif latent_log_var == "constant": + conv_out_channels += 1 + elif latent_log_var != "none": + raise ValueError(f"Invalid latent_log_var: {latent_log_var}") + self.conv_out = make_conv_nd( + dims, + output_channel, + conv_out_channels, + 3, + padding=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + self.gradient_checkpointing = False + + def forward(self, sample: torch.FloatTensor) -> torch.FloatTensor: + r"""The forward method of the `Encoder` class.""" + + sample = patchify(sample, patch_size_hw=self.patch_size, patch_size_t=1) + sample = self.conv_in(sample) + + checkpoint_fn = ( + partial(torch.utils.checkpoint.checkpoint, use_reentrant=False) + if self.gradient_checkpointing and self.training + else lambda x: x + ) + + for down_block in self.down_blocks: + sample = checkpoint_fn(down_block)(sample) + + sample = self.conv_norm_out(sample) + sample = self.conv_act(sample) + sample = self.conv_out(sample) + + if self.latent_log_var == "uniform": + last_channel = sample[:, -1:, ...] + num_dims = sample.dim() + + if num_dims == 4: + # For shape (B, C, H, W) + repeated_last_channel = last_channel.repeat( + 1, sample.shape[1] - 2, 1, 1 + ) + sample = torch.cat([sample, repeated_last_channel], dim=1) + elif num_dims == 5: + # For shape (B, C, F, H, W) + repeated_last_channel = last_channel.repeat( + 1, sample.shape[1] - 2, 1, 1, 1 + ) + sample = torch.cat([sample, repeated_last_channel], dim=1) + else: + raise ValueError(f"Invalid input shape: {sample.shape}") + elif self.latent_log_var == "constant": + sample = sample[:, :-1, ...] + approx_ln_0 = ( + -30 + ) # this is the minimal clamp value in DiagonalGaussianDistribution objects + sample = torch.cat( + [sample, torch.ones_like(sample, device=sample.device) * approx_ln_0], + dim=1, + ) + + return sample + + +class Decoder(nn.Module): + r""" + The `Decoder` layer of a variational autoencoder that decodes its latent representation into an output sample. + + Args: + dims (`int` or `Tuple[int, int]`, *optional*, defaults to 3): + The number of dimensions to use in convolutions. + in_channels (`int`, *optional*, defaults to 3): + The number of input channels. + out_channels (`int`, *optional*, defaults to 3): + The number of output channels. + blocks (`List[Tuple[str, int]]`, *optional*, defaults to `[("res_x", 1)]`): + The blocks to use. Each block is a tuple of the block name and the number of layers. + base_channels (`int`, *optional*, defaults to 128): + The number of output channels for the first convolutional layer. + norm_num_groups (`int`, *optional*, defaults to 32): + The number of groups for normalization. + patch_size (`int`, *optional*, defaults to 1): + The patch size to use. Should be a power of 2. + norm_layer (`str`, *optional*, defaults to `group_norm`): + The normalization layer to use. Can be either `group_norm` or `pixel_norm`. + causal (`bool`, *optional*, defaults to `True`): + Whether to use causal convolutions or not. + """ + + def __init__( + self, + dims, + in_channels: int = 3, + out_channels: int = 3, + blocks: List[Tuple[str, int | dict]] = [("res_x", 1)], + base_channels: int = 128, + layers_per_block: int = 2, + norm_num_groups: int = 32, + patch_size: int = 1, + norm_layer: str = "group_norm", + causal: bool = True, + timestep_conditioning: bool = False, + spatial_padding_mode: str = "zeros", + ): + super().__init__() + self.patch_size = patch_size + self.layers_per_block = layers_per_block + out_channels = out_channels * patch_size**2 + self.causal = causal + self.blocks_desc = blocks + + # Compute output channel to be product of all channel-multiplier blocks + output_channel = base_channels + for block_name, block_params in list(reversed(blocks)): + block_params = block_params if isinstance(block_params, dict) else {} + if block_name == "res_x_y": + output_channel = output_channel * block_params.get("multiplier", 2) + if block_name == "compress_all": + output_channel = output_channel * block_params.get("multiplier", 1) + + self.conv_in = make_conv_nd( + dims, + in_channels, + output_channel, + kernel_size=3, + stride=1, + padding=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + self.up_blocks = nn.ModuleList([]) + + for block_name, block_params in list(reversed(blocks)): + input_channel = output_channel + if isinstance(block_params, int): + block_params = {"num_layers": block_params} + + if block_name == "res_x": + block = UNetMidBlock3D( + dims=dims, + in_channels=input_channel, + num_layers=block_params["num_layers"], + resnet_eps=1e-6, + resnet_groups=norm_num_groups, + norm_layer=norm_layer, + inject_noise=block_params.get("inject_noise", False), + timestep_conditioning=timestep_conditioning, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "attn_res_x": + block = UNetMidBlock3D( + dims=dims, + in_channels=input_channel, + num_layers=block_params["num_layers"], + resnet_groups=norm_num_groups, + norm_layer=norm_layer, + inject_noise=block_params.get("inject_noise", False), + timestep_conditioning=timestep_conditioning, + attention_head_dim=block_params["attention_head_dim"], + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "res_x_y": + output_channel = output_channel // block_params.get("multiplier", 2) + block = ResnetBlock3D( + dims=dims, + in_channels=input_channel, + out_channels=output_channel, + eps=1e-6, + groups=norm_num_groups, + norm_layer=norm_layer, + inject_noise=block_params.get("inject_noise", False), + timestep_conditioning=False, + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_time": + block = DepthToSpaceUpsample( + dims=dims, + in_channels=input_channel, + stride=(2, 1, 1), + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_space": + block = DepthToSpaceUpsample( + dims=dims, + in_channels=input_channel, + stride=(1, 2, 2), + spatial_padding_mode=spatial_padding_mode, + ) + elif block_name == "compress_all": + output_channel = output_channel // block_params.get("multiplier", 1) + block = DepthToSpaceUpsample( + dims=dims, + in_channels=input_channel, + stride=(2, 2, 2), + residual=block_params.get("residual", False), + out_channels_reduction_factor=block_params.get("multiplier", 1), + spatial_padding_mode=spatial_padding_mode, + ) + else: + raise ValueError(f"unknown layer: {block_name}") + + self.up_blocks.append(block) + + if norm_layer == "group_norm": + self.conv_norm_out = nn.GroupNorm( + num_channels=output_channel, num_groups=norm_num_groups, eps=1e-6 + ) + elif norm_layer == "pixel_norm": + self.conv_norm_out = PixelNorm() + elif norm_layer == "layer_norm": + self.conv_norm_out = LayerNorm(output_channel, eps=1e-6) + + self.conv_act = nn.SiLU() + self.conv_out = make_conv_nd( + dims, + output_channel, + out_channels, + 3, + padding=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + self.gradient_checkpointing = False + + self.timestep_conditioning = timestep_conditioning + + if timestep_conditioning: + self.timestep_scale_multiplier = nn.Parameter( + torch.tensor(1000.0, dtype=torch.float32) + ) + self.last_time_embedder = PixArtAlphaCombinedTimestepSizeEmbeddings( + output_channel * 2, 0, operations=ops, + ) + self.last_scale_shift_table = nn.Parameter(torch.empty(2, output_channel)) + + # def forward(self, sample: torch.FloatTensor, target_shape) -> torch.FloatTensor: + def forward( + self, + sample: torch.FloatTensor, + timestep: Optional[torch.Tensor] = None, + ) -> torch.FloatTensor: + r"""The forward method of the `Decoder` class.""" + batch_size = sample.shape[0] + + sample = self.conv_in(sample, causal=self.causal) + + checkpoint_fn = ( + partial(torch.utils.checkpoint.checkpoint, use_reentrant=False) + if self.gradient_checkpointing and self.training + else lambda x: x + ) + + scaled_timestep = None + if self.timestep_conditioning: + assert ( + timestep is not None + ), "should pass timestep with timestep_conditioning=True" + scaled_timestep = timestep * self.timestep_scale_multiplier.to(dtype=sample.dtype, device=sample.device) + + for up_block in self.up_blocks: + if self.timestep_conditioning and isinstance(up_block, UNetMidBlock3D): + sample = checkpoint_fn(up_block)( + sample, causal=self.causal, timestep=scaled_timestep + ) + else: + sample = checkpoint_fn(up_block)(sample, causal=self.causal) + + sample = self.conv_norm_out(sample) + + if self.timestep_conditioning: + embedded_timestep = self.last_time_embedder( + timestep=scaled_timestep.flatten(), + resolution=None, + aspect_ratio=None, + batch_size=sample.shape[0], + hidden_dtype=sample.dtype, + ) + embedded_timestep = embedded_timestep.view( + batch_size, embedded_timestep.shape[-1], 1, 1, 1 + ) + ada_values = self.last_scale_shift_table[ + None, ..., None, None, None + ].to(device=sample.device, dtype=sample.dtype) + embedded_timestep.reshape( + batch_size, + 2, + -1, + embedded_timestep.shape[-3], + embedded_timestep.shape[-2], + embedded_timestep.shape[-1], + ) + shift, scale = ada_values.unbind(dim=1) + sample = sample * (1 + scale) + shift + + sample = self.conv_act(sample) + sample = self.conv_out(sample, causal=self.causal) + + sample = unpatchify(sample, patch_size_hw=self.patch_size, patch_size_t=1) + + return sample + + +class UNetMidBlock3D(nn.Module): + """ + A 3D UNet mid-block [`UNetMidBlock3D`] with multiple residual blocks. + + Args: + in_channels (`int`): The number of input channels. + dropout (`float`, *optional*, defaults to 0.0): The dropout rate. + num_layers (`int`, *optional*, defaults to 1): The number of residual blocks. + resnet_eps (`float`, *optional*, 1e-6 ): The epsilon value for the resnet blocks. + resnet_groups (`int`, *optional*, defaults to 32): + The number of groups to use in the group normalization layers of the resnet blocks. + norm_layer (`str`, *optional*, defaults to `group_norm`): + The normalization layer to use. Can be either `group_norm` or `pixel_norm`. + inject_noise (`bool`, *optional*, defaults to `False`): + Whether to inject noise into the hidden states. + timestep_conditioning (`bool`, *optional*, defaults to `False`): + Whether to condition the hidden states on the timestep. + + Returns: + `torch.FloatTensor`: The output of the last residual block, which is a tensor of shape `(batch_size, + in_channels, height, width)`. + + """ + + def __init__( + self, + dims: Union[int, Tuple[int, int]], + in_channels: int, + dropout: float = 0.0, + num_layers: int = 1, + resnet_eps: float = 1e-6, + resnet_groups: int = 32, + norm_layer: str = "group_norm", + inject_noise: bool = False, + timestep_conditioning: bool = False, + spatial_padding_mode: str = "zeros", + ): + super().__init__() + resnet_groups = ( + resnet_groups if resnet_groups is not None else min(in_channels // 4, 32) + ) + + self.timestep_conditioning = timestep_conditioning + + if timestep_conditioning: + self.time_embedder = PixArtAlphaCombinedTimestepSizeEmbeddings( + in_channels * 4, 0, operations=ops, + ) + + self.res_blocks = nn.ModuleList( + [ + ResnetBlock3D( + dims=dims, + in_channels=in_channels, + out_channels=in_channels, + eps=resnet_eps, + groups=resnet_groups, + dropout=dropout, + norm_layer=norm_layer, + inject_noise=inject_noise, + timestep_conditioning=timestep_conditioning, + spatial_padding_mode=spatial_padding_mode, + ) + for _ in range(num_layers) + ] + ) + + def forward( + self, + hidden_states: torch.FloatTensor, + causal: bool = True, + timestep: Optional[torch.Tensor] = None, + ) -> torch.FloatTensor: + timestep_embed = None + if self.timestep_conditioning: + assert ( + timestep is not None + ), "should pass timestep with timestep_conditioning=True" + batch_size = hidden_states.shape[0] + timestep_embed = self.time_embedder( + timestep=timestep.flatten(), + resolution=None, + aspect_ratio=None, + batch_size=batch_size, + hidden_dtype=hidden_states.dtype, + ) + timestep_embed = timestep_embed.view( + batch_size, timestep_embed.shape[-1], 1, 1, 1 + ) + + for resnet in self.res_blocks: + hidden_states = resnet(hidden_states, causal=causal, timestep=timestep_embed) + + return hidden_states + + +class SpaceToDepthDownsample(nn.Module): + def __init__(self, dims, in_channels, out_channels, stride, spatial_padding_mode): + super().__init__() + self.stride = stride + self.group_size = in_channels * math.prod(stride) // out_channels + self.conv = make_conv_nd( + dims=dims, + in_channels=in_channels, + out_channels=out_channels // math.prod(stride), + kernel_size=3, + stride=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + def forward(self, x, causal: bool = True): + if self.stride[0] == 2: + x = torch.cat( + [x[:, :, :1, :, :], x], dim=2 + ) # duplicate first frames for padding + + # skip connection + x_in = rearrange( + x, + "b c (d p1) (h p2) (w p3) -> b (c p1 p2 p3) d h w", + p1=self.stride[0], + p2=self.stride[1], + p3=self.stride[2], + ) + x_in = rearrange(x_in, "b (c g) d h w -> b c g d h w", g=self.group_size) + x_in = x_in.mean(dim=2) + + # conv + x = self.conv(x, causal=causal) + x = rearrange( + x, + "b c (d p1) (h p2) (w p3) -> b (c p1 p2 p3) d h w", + p1=self.stride[0], + p2=self.stride[1], + p3=self.stride[2], + ) + + x = x + x_in + + return x + + +class DepthToSpaceUpsample(nn.Module): + def __init__( + self, + dims, + in_channels, + stride, + residual=False, + out_channels_reduction_factor=1, + spatial_padding_mode="zeros", + ): + super().__init__() + self.stride = stride + self.out_channels = ( + math.prod(stride) * in_channels // out_channels_reduction_factor + ) + self.conv = make_conv_nd( + dims=dims, + in_channels=in_channels, + out_channels=self.out_channels, + kernel_size=3, + stride=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + self.residual = residual + self.out_channels_reduction_factor = out_channels_reduction_factor + + def forward(self, x, causal: bool = True, timestep: Optional[torch.Tensor] = None): + if self.residual: + # Reshape and duplicate the input to match the output shape + x_in = rearrange( + x, + "b (c p1 p2 p3) d h w -> b c (d p1) (h p2) (w p3)", + p1=self.stride[0], + p2=self.stride[1], + p3=self.stride[2], + ) + num_repeat = math.prod(self.stride) // self.out_channels_reduction_factor + x_in = x_in.repeat(1, num_repeat, 1, 1, 1) + if self.stride[0] == 2: + x_in = x_in[:, :, 1:, :, :] + x = self.conv(x, causal=causal) + x = rearrange( + x, + "b (c p1 p2 p3) d h w -> b c (d p1) (h p2) (w p3)", + p1=self.stride[0], + p2=self.stride[1], + p3=self.stride[2], + ) + if self.stride[0] == 2: + x = x[:, :, 1:, :, :] + if self.residual: + x = x + x_in + return x + +class LayerNorm(nn.Module): + def __init__(self, dim, eps, elementwise_affine=True) -> None: + super().__init__() + self.norm = ops.LayerNorm(dim, eps=eps, elementwise_affine=elementwise_affine) + + def forward(self, x): + x = rearrange(x, "b c d h w -> b d h w c") + x = self.norm(x) + x = rearrange(x, "b d h w c -> b c d h w") + return x + + +class ResnetBlock3D(nn.Module): + r""" + A Resnet block. + + Parameters: + in_channels (`int`): The number of channels in the input. + out_channels (`int`, *optional*, default to be `None`): + The number of output channels for the first conv layer. If None, same as `in_channels`. + dropout (`float`, *optional*, defaults to `0.0`): The dropout probability to use. + groups (`int`, *optional*, default to `32`): The number of groups to use for the first normalization layer. + eps (`float`, *optional*, defaults to `1e-6`): The epsilon to use for the normalization. + """ + + def __init__( + self, + dims: Union[int, Tuple[int, int]], + in_channels: int, + out_channels: Optional[int] = None, + dropout: float = 0.0, + groups: int = 32, + eps: float = 1e-6, + norm_layer: str = "group_norm", + inject_noise: bool = False, + timestep_conditioning: bool = False, + spatial_padding_mode: str = "zeros", + ): + super().__init__() + self.in_channels = in_channels + out_channels = in_channels if out_channels is None else out_channels + self.out_channels = out_channels + self.inject_noise = inject_noise + + if norm_layer == "group_norm": + self.norm1 = nn.GroupNorm( + num_groups=groups, num_channels=in_channels, eps=eps, affine=True + ) + elif norm_layer == "pixel_norm": + self.norm1 = PixelNorm() + elif norm_layer == "layer_norm": + self.norm1 = LayerNorm(in_channels, eps=eps, elementwise_affine=True) + + self.non_linearity = nn.SiLU() + + self.conv1 = make_conv_nd( + dims, + in_channels, + out_channels, + kernel_size=3, + stride=1, + padding=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + if inject_noise: + self.per_channel_scale1 = nn.Parameter(torch.zeros((in_channels, 1, 1))) + + if norm_layer == "group_norm": + self.norm2 = nn.GroupNorm( + num_groups=groups, num_channels=out_channels, eps=eps, affine=True + ) + elif norm_layer == "pixel_norm": + self.norm2 = PixelNorm() + elif norm_layer == "layer_norm": + self.norm2 = LayerNorm(out_channels, eps=eps, elementwise_affine=True) + + self.dropout = torch.nn.Dropout(dropout) + + self.conv2 = make_conv_nd( + dims, + out_channels, + out_channels, + kernel_size=3, + stride=1, + padding=1, + causal=True, + spatial_padding_mode=spatial_padding_mode, + ) + + if inject_noise: + self.per_channel_scale2 = nn.Parameter(torch.zeros((in_channels, 1, 1))) + + self.conv_shortcut = ( + make_linear_nd( + dims=dims, in_channels=in_channels, out_channels=out_channels + ) + if in_channels != out_channels + else nn.Identity() + ) + + self.norm3 = ( + LayerNorm(in_channels, eps=eps, elementwise_affine=True) + if in_channels != out_channels + else nn.Identity() + ) + + self.timestep_conditioning = timestep_conditioning + + if timestep_conditioning: + self.scale_shift_table = nn.Parameter( + torch.randn(4, in_channels) / in_channels**0.5 + ) + + def _feed_spatial_noise( + self, hidden_states: torch.FloatTensor, per_channel_scale: torch.FloatTensor + ) -> torch.FloatTensor: + spatial_shape = hidden_states.shape[-2:] + device = hidden_states.device + dtype = hidden_states.dtype + + # similar to the "explicit noise inputs" method in style-gan + spatial_noise = torch.randn(spatial_shape, device=device, dtype=dtype)[None] + scaled_noise = (spatial_noise * per_channel_scale)[None, :, None, ...] + hidden_states = hidden_states + scaled_noise + + return hidden_states + + def forward( + self, + input_tensor: torch.FloatTensor, + causal: bool = True, + timestep: Optional[torch.Tensor] = None, + ) -> torch.FloatTensor: + hidden_states = input_tensor + batch_size = hidden_states.shape[0] + + hidden_states = self.norm1(hidden_states) + if self.timestep_conditioning: + assert ( + timestep is not None + ), "should pass timestep with timestep_conditioning=True" + ada_values = self.scale_shift_table[ + None, ..., None, None, None + ].to(device=hidden_states.device, dtype=hidden_states.dtype) + timestep.reshape( + batch_size, + 4, + -1, + timestep.shape[-3], + timestep.shape[-2], + timestep.shape[-1], + ) + shift1, scale1, shift2, scale2 = ada_values.unbind(dim=1) + + hidden_states = hidden_states * (1 + scale1) + shift1 + + hidden_states = self.non_linearity(hidden_states) + + hidden_states = self.conv1(hidden_states, causal=causal) + + if self.inject_noise: + hidden_states = self._feed_spatial_noise( + hidden_states, self.per_channel_scale1.to(device=hidden_states.device, dtype=hidden_states.dtype) + ) + + hidden_states = self.norm2(hidden_states) + + if self.timestep_conditioning: + hidden_states = hidden_states * (1 + scale2) + shift2 + + hidden_states = self.non_linearity(hidden_states) + + hidden_states = self.dropout(hidden_states) + + hidden_states = self.conv2(hidden_states, causal=causal) + + if self.inject_noise: + hidden_states = self._feed_spatial_noise( + hidden_states, self.per_channel_scale2.to(device=hidden_states.device, dtype=hidden_states.dtype) + ) + + input_tensor = self.norm3(input_tensor) + + batch_size = input_tensor.shape[0] + + input_tensor = self.conv_shortcut(input_tensor) + + output_tensor = input_tensor + hidden_states + + return output_tensor + + +def patchify(x, patch_size_hw, patch_size_t=1): + if patch_size_hw == 1 and patch_size_t == 1: + return x + if x.dim() == 4: + x = rearrange( + x, "b c (h q) (w r) -> b (c r q) h w", q=patch_size_hw, r=patch_size_hw + ) + elif x.dim() == 5: + x = rearrange( + x, + "b c (f p) (h q) (w r) -> b (c p r q) f h w", + p=patch_size_t, + q=patch_size_hw, + r=patch_size_hw, + ) + else: + raise ValueError(f"Invalid input shape: {x.shape}") + + return x + + +def unpatchify(x, patch_size_hw, patch_size_t=1): + if patch_size_hw == 1 and patch_size_t == 1: + return x + + if x.dim() == 4: + x = rearrange( + x, "b (c r q) h w -> b c (h q) (w r)", q=patch_size_hw, r=patch_size_hw + ) + elif x.dim() == 5: + x = rearrange( + x, + "b (c p r q) f h w -> b c (f p) (h q) (w r)", + p=patch_size_t, + q=patch_size_hw, + r=patch_size_hw, + ) + + return x + +class processor(nn.Module): + def __init__(self): + super().__init__() + self.register_buffer("std-of-means", torch.empty(128)) + self.register_buffer("mean-of-means", torch.empty(128)) + self.register_buffer("mean-of-stds", torch.empty(128)) + self.register_buffer("mean-of-stds_over_std-of-means", torch.empty(128)) + self.register_buffer("channel", torch.empty(128)) + + def un_normalize(self, x): + return (x * self.get_buffer("std-of-means").view(1, -1, 1, 1, 1).to(x)) + self.get_buffer("mean-of-means").view(1, -1, 1, 1, 1).to(x) + + def normalize(self, x): + return (x - self.get_buffer("mean-of-means").view(1, -1, 1, 1, 1).to(x)) / self.get_buffer("std-of-means").view(1, -1, 1, 1, 1).to(x) + +class VideoVAE(nn.Module): + def __init__(self, version=0, config=None): + super().__init__() + + if config is None: + config = self.guess_config(version) + + self.timestep_conditioning = config.get("timestep_conditioning", False) + double_z = config.get("double_z", True) + latent_log_var = config.get( + "latent_log_var", "per_channel" if double_z else "none" + ) + + self.encoder = Encoder( + dims=config["dims"], + in_channels=config.get("in_channels", 3), + out_channels=config["latent_channels"], + blocks=config.get("encoder_blocks", config.get("encoder_blocks", config.get("blocks"))), + patch_size=config.get("patch_size", 1), + latent_log_var=latent_log_var, + norm_layer=config.get("norm_layer", "group_norm"), + spatial_padding_mode=config.get("spatial_padding_mode", "zeros"), + ) + + self.decoder = Decoder( + dims=config["dims"], + in_channels=config["latent_channels"], + out_channels=config.get("out_channels", 3), + blocks=config.get("decoder_blocks", config.get("decoder_blocks", config.get("blocks"))), + patch_size=config.get("patch_size", 1), + norm_layer=config.get("norm_layer", "group_norm"), + causal=config.get("causal_decoder", False), + timestep_conditioning=self.timestep_conditioning, + spatial_padding_mode=config.get("spatial_padding_mode", "reflect"), + ) + + self.per_channel_statistics = processor() + + def guess_config(self, version): + if version == 0: + config = { + "_class_name": "CausalVideoAutoencoder", + "dims": 3, + "in_channels": 3, + "out_channels": 3, + "latent_channels": 128, + "blocks": [ + ["res_x", 4], + ["compress_all", 1], + ["res_x_y", 1], + ["res_x", 3], + ["compress_all", 1], + ["res_x_y", 1], + ["res_x", 3], + ["compress_all", 1], + ["res_x", 3], + ["res_x", 4], + ], + "scaling_factor": 1.0, + "norm_layer": "pixel_norm", + "patch_size": 4, + "latent_log_var": "uniform", + "use_quant_conv": False, + "causal_decoder": False, + } + elif version == 1: + config = { + "_class_name": "CausalVideoAutoencoder", + "dims": 3, + "in_channels": 3, + "out_channels": 3, + "latent_channels": 128, + "decoder_blocks": [ + ["res_x", {"num_layers": 5, "inject_noise": True}], + ["compress_all", {"residual": True, "multiplier": 2}], + ["res_x", {"num_layers": 6, "inject_noise": True}], + ["compress_all", {"residual": True, "multiplier": 2}], + ["res_x", {"num_layers": 7, "inject_noise": True}], + ["compress_all", {"residual": True, "multiplier": 2}], + ["res_x", {"num_layers": 8, "inject_noise": False}] + ], + "encoder_blocks": [ + ["res_x", {"num_layers": 4}], + ["compress_all", {}], + ["res_x_y", 1], + ["res_x", {"num_layers": 3}], + ["compress_all", {}], + ["res_x_y", 1], + ["res_x", {"num_layers": 3}], + ["compress_all", {}], + ["res_x", {"num_layers": 3}], + ["res_x", {"num_layers": 4}] + ], + "scaling_factor": 1.0, + "norm_layer": "pixel_norm", + "patch_size": 4, + "latent_log_var": "uniform", + "use_quant_conv": False, + "causal_decoder": False, + "timestep_conditioning": True, + } + else: + config = { + "_class_name": "CausalVideoAutoencoder", + "dims": 3, + "in_channels": 3, + "out_channels": 3, + "latent_channels": 128, + "encoder_blocks": [ + ["res_x", {"num_layers": 4}], + ["compress_space_res", {"multiplier": 2}], + ["res_x", {"num_layers": 6}], + ["compress_time_res", {"multiplier": 2}], + ["res_x", {"num_layers": 6}], + ["compress_all_res", {"multiplier": 2}], + ["res_x", {"num_layers": 2}], + ["compress_all_res", {"multiplier": 2}], + ["res_x", {"num_layers": 2}] + ], + "decoder_blocks": [ + ["res_x", {"num_layers": 5, "inject_noise": False}], + ["compress_all", {"residual": True, "multiplier": 2}], + ["res_x", {"num_layers": 5, "inject_noise": False}], + ["compress_all", {"residual": True, "multiplier": 2}], + ["res_x", {"num_layers": 5, "inject_noise": False}], + ["compress_all", {"residual": True, "multiplier": 2}], + ["res_x", {"num_layers": 5, "inject_noise": False}] + ], + "scaling_factor": 1.0, + "norm_layer": "pixel_norm", + "patch_size": 4, + "latent_log_var": "uniform", + "use_quant_conv": False, + "causal_decoder": False, + "timestep_conditioning": True + } + return config + + def encode(self, x): + frames_count = x.shape[2] + if ((frames_count - 1) % 8) != 0: + raise ValueError("Invalid number of frames: Encode input must have 1 + 8 * x frames (e.g., 1, 9, 17, ...). Please check your input.") + means, logvar = torch.chunk(self.encoder(x), 2, dim=1) + return self.per_channel_statistics.normalize(means) + + def decode(self, x, timestep=0.05, noise_scale=0.025): + if self.timestep_conditioning: #TODO: seed + x = torch.randn_like(x) * noise_scale + (1.0 - noise_scale) * x + return self.decoder(self.per_channel_statistics.un_normalize(x), timestep=timestep) + diff --git a/comfy/ldm/lightricks/vae/conv_nd_factory.py b/comfy/ldm/lightricks/vae/conv_nd_factory.py new file mode 100644 index 0000000000000000000000000000000000000000..b4026b14fae386850459b18fb06e8b5d7f79ab94 --- /dev/null +++ b/comfy/ldm/lightricks/vae/conv_nd_factory.py @@ -0,0 +1,90 @@ +from typing import Tuple, Union + + +from .dual_conv3d import DualConv3d +from .causal_conv3d import CausalConv3d +import comfy.ops +ops = comfy.ops.disable_weight_init + +def make_conv_nd( + dims: Union[int, Tuple[int, int]], + in_channels: int, + out_channels: int, + kernel_size: int, + stride=1, + padding=0, + dilation=1, + groups=1, + bias=True, + causal=False, + spatial_padding_mode="zeros", + temporal_padding_mode="zeros", +): + if not (spatial_padding_mode == temporal_padding_mode or causal): + raise NotImplementedError("spatial and temporal padding modes must be equal") + if dims == 2: + return ops.Conv2d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + dilation=dilation, + groups=groups, + bias=bias, + padding_mode=spatial_padding_mode, + ) + elif dims == 3: + if causal: + return CausalConv3d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + dilation=dilation, + groups=groups, + bias=bias, + spatial_padding_mode=spatial_padding_mode, + ) + return ops.Conv3d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + dilation=dilation, + groups=groups, + bias=bias, + padding_mode=spatial_padding_mode, + ) + elif dims == (2, 1): + return DualConv3d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + bias=bias, + padding_mode=spatial_padding_mode, + ) + else: + raise ValueError(f"unsupported dimensions: {dims}") + + +def make_linear_nd( + dims: int, + in_channels: int, + out_channels: int, + bias=True, +): + if dims == 2: + return ops.Conv2d( + in_channels=in_channels, out_channels=out_channels, kernel_size=1, bias=bias + ) + elif dims == 3 or dims == (2, 1): + return ops.Conv3d( + in_channels=in_channels, out_channels=out_channels, kernel_size=1, bias=bias + ) + else: + raise ValueError(f"unsupported dimensions: {dims}") diff --git a/comfy/ldm/lightricks/vae/dual_conv3d.py b/comfy/ldm/lightricks/vae/dual_conv3d.py new file mode 100644 index 0000000000000000000000000000000000000000..dcf889296750d3d7e553af37ecf77d1b10245af3 --- /dev/null +++ b/comfy/ldm/lightricks/vae/dual_conv3d.py @@ -0,0 +1,217 @@ +import math +from typing import Tuple, Union + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange + + +class DualConv3d(nn.Module): + def __init__( + self, + in_channels, + out_channels, + kernel_size, + stride: Union[int, Tuple[int, int, int]] = 1, + padding: Union[int, Tuple[int, int, int]] = 0, + dilation: Union[int, Tuple[int, int, int]] = 1, + groups=1, + bias=True, + padding_mode="zeros", + ): + super(DualConv3d, self).__init__() + + self.in_channels = in_channels + self.out_channels = out_channels + self.padding_mode = padding_mode + # Ensure kernel_size, stride, padding, and dilation are tuples of length 3 + if isinstance(kernel_size, int): + kernel_size = (kernel_size, kernel_size, kernel_size) + if kernel_size == (1, 1, 1): + raise ValueError( + "kernel_size must be greater than 1. Use make_linear_nd instead." + ) + if isinstance(stride, int): + stride = (stride, stride, stride) + if isinstance(padding, int): + padding = (padding, padding, padding) + if isinstance(dilation, int): + dilation = (dilation, dilation, dilation) + + # Set parameters for convolutions + self.groups = groups + self.bias = bias + + # Define the size of the channels after the first convolution + intermediate_channels = ( + out_channels if in_channels < out_channels else in_channels + ) + + # Define parameters for the first convolution + self.weight1 = nn.Parameter( + torch.Tensor( + intermediate_channels, + in_channels // groups, + 1, + kernel_size[1], + kernel_size[2], + ) + ) + self.stride1 = (1, stride[1], stride[2]) + self.padding1 = (0, padding[1], padding[2]) + self.dilation1 = (1, dilation[1], dilation[2]) + if bias: + self.bias1 = nn.Parameter(torch.Tensor(intermediate_channels)) + else: + self.register_parameter("bias1", None) + + # Define parameters for the second convolution + self.weight2 = nn.Parameter( + torch.Tensor( + out_channels, intermediate_channels // groups, kernel_size[0], 1, 1 + ) + ) + self.stride2 = (stride[0], 1, 1) + self.padding2 = (padding[0], 0, 0) + self.dilation2 = (dilation[0], 1, 1) + if bias: + self.bias2 = nn.Parameter(torch.Tensor(out_channels)) + else: + self.register_parameter("bias2", None) + + # Initialize weights and biases + self.reset_parameters() + + def reset_parameters(self): + nn.init.kaiming_uniform_(self.weight1, a=math.sqrt(5)) + nn.init.kaiming_uniform_(self.weight2, a=math.sqrt(5)) + if self.bias: + fan_in1, _ = nn.init._calculate_fan_in_and_fan_out(self.weight1) + bound1 = 1 / math.sqrt(fan_in1) + nn.init.uniform_(self.bias1, -bound1, bound1) + fan_in2, _ = nn.init._calculate_fan_in_and_fan_out(self.weight2) + bound2 = 1 / math.sqrt(fan_in2) + nn.init.uniform_(self.bias2, -bound2, bound2) + + def forward(self, x, use_conv3d=False, skip_time_conv=False): + if use_conv3d: + return self.forward_with_3d(x=x, skip_time_conv=skip_time_conv) + else: + return self.forward_with_2d(x=x, skip_time_conv=skip_time_conv) + + def forward_with_3d(self, x, skip_time_conv): + # First convolution + x = F.conv3d( + x, + self.weight1, + self.bias1, + self.stride1, + self.padding1, + self.dilation1, + self.groups, + padding_mode=self.padding_mode, + ) + + if skip_time_conv: + return x + + # Second convolution + x = F.conv3d( + x, + self.weight2, + self.bias2, + self.stride2, + self.padding2, + self.dilation2, + self.groups, + padding_mode=self.padding_mode, + ) + + return x + + def forward_with_2d(self, x, skip_time_conv): + b, c, d, h, w = x.shape + + # First 2D convolution + x = rearrange(x, "b c d h w -> (b d) c h w") + # Squeeze the depth dimension out of weight1 since it's 1 + weight1 = self.weight1.squeeze(2) + # Select stride, padding, and dilation for the 2D convolution + stride1 = (self.stride1[1], self.stride1[2]) + padding1 = (self.padding1[1], self.padding1[2]) + dilation1 = (self.dilation1[1], self.dilation1[2]) + x = F.conv2d( + x, + weight1, + self.bias1, + stride1, + padding1, + dilation1, + self.groups, + padding_mode=self.padding_mode, + ) + + _, _, h, w = x.shape + + if skip_time_conv: + x = rearrange(x, "(b d) c h w -> b c d h w", b=b) + return x + + # Second convolution which is essentially treated as a 1D convolution across the 'd' dimension + x = rearrange(x, "(b d) c h w -> (b h w) c d", b=b) + + # Reshape weight2 to match the expected dimensions for conv1d + weight2 = self.weight2.squeeze(-1).squeeze(-1) + # Use only the relevant dimension for stride, padding, and dilation for the 1D convolution + stride2 = self.stride2[0] + padding2 = self.padding2[0] + dilation2 = self.dilation2[0] + x = F.conv1d( + x, + weight2, + self.bias2, + stride2, + padding2, + dilation2, + self.groups, + padding_mode=self.padding_mode, + ) + x = rearrange(x, "(b h w) c d -> b c d h w", b=b, h=h, w=w) + + return x + + @property + def weight(self): + return self.weight2 + + +def test_dual_conv3d_consistency(): + # Initialize parameters + in_channels = 3 + out_channels = 5 + kernel_size = (3, 3, 3) + stride = (2, 2, 2) + padding = (1, 1, 1) + + # Create an instance of the DualConv3d class + dual_conv3d = DualConv3d( + in_channels=in_channels, + out_channels=out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + bias=True, + ) + + # Example input tensor + test_input = torch.randn(1, 3, 10, 10, 10) + + # Perform forward passes with both 3D and 2D settings + output_conv3d = dual_conv3d(test_input, use_conv3d=True) + output_2d = dual_conv3d(test_input, use_conv3d=False) + + # Assert that the outputs from both methods are sufficiently close + assert torch.allclose( + output_conv3d, output_2d, atol=1e-6 + ), "Outputs are not consistent between 3D and 2D convolutions." diff --git a/comfy/ldm/lightricks/vae/pixel_norm.py b/comfy/ldm/lightricks/vae/pixel_norm.py new file mode 100644 index 0000000000000000000000000000000000000000..9bc3ea60e8a6453e7e12a7fb5aca4de3958a2567 --- /dev/null +++ b/comfy/ldm/lightricks/vae/pixel_norm.py @@ -0,0 +1,12 @@ +import torch +from torch import nn + + +class PixelNorm(nn.Module): + def __init__(self, dim=1, eps=1e-8): + super(PixelNorm, self).__init__() + self.dim = dim + self.eps = eps + + def forward(self, x): + return x / torch.sqrt(torch.mean(x**2, dim=self.dim, keepdim=True) + self.eps) diff --git a/comfy/ldm/lumina/model.py b/comfy/ldm/lumina/model.py new file mode 100644 index 0000000000000000000000000000000000000000..f87d98ac0e359f7b40a5b2050b2931fadf039676 --- /dev/null +++ b/comfy/ldm/lumina/model.py @@ -0,0 +1,635 @@ +# Code from: https://github.com/Alpha-VLLM/Lumina-Image-2.0/blob/main/models/model.py +from __future__ import annotations + +from typing import List, Optional, Tuple + +import torch +import torch.nn as nn +import torch.nn.functional as F +import comfy.ldm.common_dit + +from comfy.ldm.modules.diffusionmodules.mmdit import TimestepEmbedder +from comfy.ldm.modules.attention import optimized_attention_masked +from comfy.ldm.flux.layers import EmbedND +import comfy.patcher_extension + + +def modulate(x, scale): + return x * (1 + scale.unsqueeze(1)) + +############################################################################# +# Core NextDiT Model # +############################################################################# + + +class JointAttention(nn.Module): + """Multi-head attention module.""" + + def __init__( + self, + dim: int, + n_heads: int, + n_kv_heads: Optional[int], + qk_norm: bool, + operation_settings={}, + ): + """ + Initialize the Attention module. + + Args: + dim (int): Number of input dimensions. + n_heads (int): Number of heads. + n_kv_heads (Optional[int]): Number of kv heads, if using GQA. + + """ + super().__init__() + self.n_kv_heads = n_heads if n_kv_heads is None else n_kv_heads + self.n_local_heads = n_heads + self.n_local_kv_heads = self.n_kv_heads + self.n_rep = self.n_local_heads // self.n_local_kv_heads + self.head_dim = dim // n_heads + + self.qkv = operation_settings.get("operations").Linear( + dim, + (n_heads + self.n_kv_heads + self.n_kv_heads) * self.head_dim, + bias=False, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + self.out = operation_settings.get("operations").Linear( + n_heads * self.head_dim, + dim, + bias=False, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + + if qk_norm: + self.q_norm = operation_settings.get("operations").RMSNorm(self.head_dim, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.k_norm = operation_settings.get("operations").RMSNorm(self.head_dim, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + else: + self.q_norm = self.k_norm = nn.Identity() + + @staticmethod + def apply_rotary_emb( + x_in: torch.Tensor, + freqs_cis: torch.Tensor, + ) -> torch.Tensor: + """ + Apply rotary embeddings to input tensors using the given frequency + tensor. + + This function applies rotary embeddings to the given query 'xq' and + key 'xk' tensors using the provided frequency tensor 'freqs_cis'. The + input tensors are reshaped as complex numbers, and the frequency tensor + is reshaped for broadcasting compatibility. The resulting tensors + contain rotary embeddings and are returned as real tensors. + + Args: + x_in (torch.Tensor): Query or Key tensor to apply rotary embeddings. + freqs_cis (torch.Tensor): Precomputed frequency tensor for complex + exponentials. + + Returns: + Tuple[torch.Tensor, torch.Tensor]: Tuple of modified query tensor + and key tensor with rotary embeddings. + """ + + t_ = x_in.reshape(*x_in.shape[:-1], -1, 1, 2) + t_out = freqs_cis[..., 0] * t_[..., 0] + freqs_cis[..., 1] * t_[..., 1] + return t_out.reshape(*x_in.shape) + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + freqs_cis: torch.Tensor, + transformer_options={}, + ) -> torch.Tensor: + """ + + Args: + x: + x_mask: + freqs_cis: + + Returns: + + """ + bsz, seqlen, _ = x.shape + + xq, xk, xv = torch.split( + self.qkv(x), + [ + self.n_local_heads * self.head_dim, + self.n_local_kv_heads * self.head_dim, + self.n_local_kv_heads * self.head_dim, + ], + dim=-1, + ) + xq = xq.view(bsz, seqlen, self.n_local_heads, self.head_dim) + xk = xk.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) + xv = xv.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) + + xq = self.q_norm(xq) + xk = self.k_norm(xk) + + xq = JointAttention.apply_rotary_emb(xq, freqs_cis=freqs_cis) + xk = JointAttention.apply_rotary_emb(xk, freqs_cis=freqs_cis) + + n_rep = self.n_local_heads // self.n_local_kv_heads + if n_rep >= 1: + xk = xk.unsqueeze(3).repeat(1, 1, 1, n_rep, 1).flatten(2, 3) + xv = xv.unsqueeze(3).repeat(1, 1, 1, n_rep, 1).flatten(2, 3) + output = optimized_attention_masked(xq.movedim(1, 2), xk.movedim(1, 2), xv.movedim(1, 2), self.n_local_heads, x_mask, skip_reshape=True, transformer_options=transformer_options) + + return self.out(output) + + +class FeedForward(nn.Module): + def __init__( + self, + dim: int, + hidden_dim: int, + multiple_of: int, + ffn_dim_multiplier: Optional[float], + operation_settings={}, + ): + """ + Initialize the FeedForward module. + + Args: + dim (int): Input dimension. + hidden_dim (int): Hidden dimension of the feedforward layer. + multiple_of (int): Value to ensure hidden dimension is a multiple + of this value. + ffn_dim_multiplier (float, optional): Custom multiplier for hidden + dimension. Defaults to None. + + """ + super().__init__() + # custom dim factor multiplier + if ffn_dim_multiplier is not None: + hidden_dim = int(ffn_dim_multiplier * hidden_dim) + hidden_dim = multiple_of * ((hidden_dim + multiple_of - 1) // multiple_of) + + self.w1 = operation_settings.get("operations").Linear( + dim, + hidden_dim, + bias=False, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + self.w2 = operation_settings.get("operations").Linear( + hidden_dim, + dim, + bias=False, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + self.w3 = operation_settings.get("operations").Linear( + dim, + hidden_dim, + bias=False, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + + # @torch.compile + def _forward_silu_gating(self, x1, x3): + return F.silu(x1) * x3 + + def forward(self, x): + return self.w2(self._forward_silu_gating(self.w1(x), self.w3(x))) + + +class JointTransformerBlock(nn.Module): + def __init__( + self, + layer_id: int, + dim: int, + n_heads: int, + n_kv_heads: int, + multiple_of: int, + ffn_dim_multiplier: float, + norm_eps: float, + qk_norm: bool, + modulation=True, + operation_settings={}, + ) -> None: + """ + Initialize a TransformerBlock. + + Args: + layer_id (int): Identifier for the layer. + dim (int): Embedding dimension of the input features. + n_heads (int): Number of attention heads. + n_kv_heads (Optional[int]): Number of attention heads in key and + value features (if using GQA), or set to None for the same as + query. + multiple_of (int): + ffn_dim_multiplier (float): + norm_eps (float): + + """ + super().__init__() + self.dim = dim + self.head_dim = dim // n_heads + self.attention = JointAttention(dim, n_heads, n_kv_heads, qk_norm, operation_settings=operation_settings) + self.feed_forward = FeedForward( + dim=dim, + hidden_dim=4 * dim, + multiple_of=multiple_of, + ffn_dim_multiplier=ffn_dim_multiplier, + operation_settings=operation_settings, + ) + self.layer_id = layer_id + self.attention_norm1 = operation_settings.get("operations").RMSNorm(dim, eps=norm_eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.ffn_norm1 = operation_settings.get("operations").RMSNorm(dim, eps=norm_eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + + self.attention_norm2 = operation_settings.get("operations").RMSNorm(dim, eps=norm_eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.ffn_norm2 = operation_settings.get("operations").RMSNorm(dim, eps=norm_eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + + self.modulation = modulation + if modulation: + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operation_settings.get("operations").Linear( + min(dim, 1024), + 4 * dim, + bias=True, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ), + ) + + def forward( + self, + x: torch.Tensor, + x_mask: torch.Tensor, + freqs_cis: torch.Tensor, + adaln_input: Optional[torch.Tensor]=None, + transformer_options={}, + ): + """ + Perform a forward pass through the TransformerBlock. + + Args: + x (torch.Tensor): Input tensor. + freqs_cis (torch.Tensor): Precomputed cosine and sine frequencies. + + Returns: + torch.Tensor: Output tensor after applying attention and + feedforward layers. + + """ + if self.modulation: + assert adaln_input is not None + scale_msa, gate_msa, scale_mlp, gate_mlp = self.adaLN_modulation(adaln_input).chunk(4, dim=1) + + x = x + gate_msa.unsqueeze(1).tanh() * self.attention_norm2( + self.attention( + modulate(self.attention_norm1(x), scale_msa), + x_mask, + freqs_cis, + transformer_options=transformer_options, + ) + ) + x = x + gate_mlp.unsqueeze(1).tanh() * self.ffn_norm2( + self.feed_forward( + modulate(self.ffn_norm1(x), scale_mlp), + ) + ) + else: + assert adaln_input is None + x = x + self.attention_norm2( + self.attention( + self.attention_norm1(x), + x_mask, + freqs_cis, + transformer_options=transformer_options, + ) + ) + x = x + self.ffn_norm2( + self.feed_forward( + self.ffn_norm1(x), + ) + ) + return x + + +class FinalLayer(nn.Module): + """ + The final layer of NextDiT. + """ + + def __init__(self, hidden_size, patch_size, out_channels, operation_settings={}): + super().__init__() + self.norm_final = operation_settings.get("operations").LayerNorm( + hidden_size, + elementwise_affine=False, + eps=1e-6, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + self.linear = operation_settings.get("operations").Linear( + hidden_size, + patch_size * patch_size * out_channels, + bias=True, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operation_settings.get("operations").Linear( + min(hidden_size, 1024), + hidden_size, + bias=True, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ), + ) + + def forward(self, x, c): + scale = self.adaLN_modulation(c) + x = modulate(self.norm_final(x), scale) + x = self.linear(x) + return x + + +class NextDiT(nn.Module): + """ + Diffusion model with a Transformer backbone. + """ + + def __init__( + self, + patch_size: int = 2, + in_channels: int = 4, + dim: int = 4096, + n_layers: int = 32, + n_refiner_layers: int = 2, + n_heads: int = 32, + n_kv_heads: Optional[int] = None, + multiple_of: int = 256, + ffn_dim_multiplier: Optional[float] = None, + norm_eps: float = 1e-5, + qk_norm: bool = False, + cap_feat_dim: int = 5120, + axes_dims: List[int] = (16, 56, 56), + axes_lens: List[int] = (1, 512, 512), + image_model=None, + device=None, + dtype=None, + operations=None, + ) -> None: + super().__init__() + self.dtype = dtype + operation_settings = {"operations": operations, "device": device, "dtype": dtype} + self.in_channels = in_channels + self.out_channels = in_channels + self.patch_size = patch_size + + self.x_embedder = operation_settings.get("operations").Linear( + in_features=patch_size * patch_size * in_channels, + out_features=dim, + bias=True, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ) + + self.noise_refiner = nn.ModuleList( + [ + JointTransformerBlock( + layer_id, + dim, + n_heads, + n_kv_heads, + multiple_of, + ffn_dim_multiplier, + norm_eps, + qk_norm, + modulation=True, + operation_settings=operation_settings, + ) + for layer_id in range(n_refiner_layers) + ] + ) + self.context_refiner = nn.ModuleList( + [ + JointTransformerBlock( + layer_id, + dim, + n_heads, + n_kv_heads, + multiple_of, + ffn_dim_multiplier, + norm_eps, + qk_norm, + modulation=False, + operation_settings=operation_settings, + ) + for layer_id in range(n_refiner_layers) + ] + ) + + self.t_embedder = TimestepEmbedder(min(dim, 1024), **operation_settings) + self.cap_embedder = nn.Sequential( + operation_settings.get("operations").RMSNorm(cap_feat_dim, eps=norm_eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), + operation_settings.get("operations").Linear( + cap_feat_dim, + dim, + bias=True, + device=operation_settings.get("device"), + dtype=operation_settings.get("dtype"), + ), + ) + + self.layers = nn.ModuleList( + [ + JointTransformerBlock( + layer_id, + dim, + n_heads, + n_kv_heads, + multiple_of, + ffn_dim_multiplier, + norm_eps, + qk_norm, + operation_settings=operation_settings, + ) + for layer_id in range(n_layers) + ] + ) + self.norm_final = operation_settings.get("operations").RMSNorm(dim, eps=norm_eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.final_layer = FinalLayer(dim, patch_size, self.out_channels, operation_settings=operation_settings) + + assert (dim // n_heads) == sum(axes_dims) + self.axes_dims = axes_dims + self.axes_lens = axes_lens + self.rope_embedder = EmbedND(dim=dim // n_heads, theta=10000.0, axes_dim=axes_dims) + self.dim = dim + self.n_heads = n_heads + + def unpatchify( + self, x: torch.Tensor, img_size: List[Tuple[int, int]], cap_size: List[int], return_tensor=False + ) -> List[torch.Tensor]: + """ + x: (N, T, patch_size**2 * C) + imgs: (N, H, W, C) + """ + pH = pW = self.patch_size + imgs = [] + for i in range(x.size(0)): + H, W = img_size[i] + begin = cap_size[i] + end = begin + (H // pH) * (W // pW) + imgs.append( + x[i][begin:end] + .view(H // pH, W // pW, pH, pW, self.out_channels) + .permute(4, 0, 2, 1, 3) + .flatten(3, 4) + .flatten(1, 2) + ) + + if return_tensor: + imgs = torch.stack(imgs, dim=0) + return imgs + + def patchify_and_embed( + self, x: List[torch.Tensor] | torch.Tensor, cap_feats: torch.Tensor, cap_mask: torch.Tensor, t: torch.Tensor, num_tokens, transformer_options={} + ) -> Tuple[torch.Tensor, torch.Tensor, List[Tuple[int, int]], List[int], torch.Tensor]: + bsz = len(x) + pH = pW = self.patch_size + device = x[0].device + dtype = x[0].dtype + + if cap_mask is not None: + l_effective_cap_len = cap_mask.sum(dim=1).tolist() + else: + l_effective_cap_len = [num_tokens] * bsz + + if cap_mask is not None and not torch.is_floating_point(cap_mask): + cap_mask = (cap_mask - 1).to(dtype) * torch.finfo(dtype).max + + img_sizes = [(img.size(1), img.size(2)) for img in x] + l_effective_img_len = [(H // pH) * (W // pW) for (H, W) in img_sizes] + + max_seq_len = max( + (cap_len+img_len for cap_len, img_len in zip(l_effective_cap_len, l_effective_img_len)) + ) + max_cap_len = max(l_effective_cap_len) + max_img_len = max(l_effective_img_len) + + position_ids = torch.zeros(bsz, max_seq_len, 3, dtype=torch.int32, device=device) + + for i in range(bsz): + cap_len = l_effective_cap_len[i] + img_len = l_effective_img_len[i] + H, W = img_sizes[i] + H_tokens, W_tokens = H // pH, W // pW + assert H_tokens * W_tokens == img_len + + position_ids[i, :cap_len, 0] = torch.arange(cap_len, dtype=torch.int32, device=device) + position_ids[i, cap_len:cap_len+img_len, 0] = cap_len + row_ids = torch.arange(H_tokens, dtype=torch.int32, device=device).view(-1, 1).repeat(1, W_tokens).flatten() + col_ids = torch.arange(W_tokens, dtype=torch.int32, device=device).view(1, -1).repeat(H_tokens, 1).flatten() + position_ids[i, cap_len:cap_len+img_len, 1] = row_ids + position_ids[i, cap_len:cap_len+img_len, 2] = col_ids + + freqs_cis = self.rope_embedder(position_ids).movedim(1, 2).to(dtype) + + # build freqs_cis for cap and image individually + cap_freqs_cis_shape = list(freqs_cis.shape) + # cap_freqs_cis_shape[1] = max_cap_len + cap_freqs_cis_shape[1] = cap_feats.shape[1] + cap_freqs_cis = torch.zeros(*cap_freqs_cis_shape, device=device, dtype=freqs_cis.dtype) + + img_freqs_cis_shape = list(freqs_cis.shape) + img_freqs_cis_shape[1] = max_img_len + img_freqs_cis = torch.zeros(*img_freqs_cis_shape, device=device, dtype=freqs_cis.dtype) + + for i in range(bsz): + cap_len = l_effective_cap_len[i] + img_len = l_effective_img_len[i] + cap_freqs_cis[i, :cap_len] = freqs_cis[i, :cap_len] + img_freqs_cis[i, :img_len] = freqs_cis[i, cap_len:cap_len+img_len] + + # refine context + for layer in self.context_refiner: + cap_feats = layer(cap_feats, cap_mask, cap_freqs_cis, transformer_options=transformer_options) + + # refine image + flat_x = [] + for i in range(bsz): + img = x[i] + C, H, W = img.size() + img = img.view(C, H // pH, pH, W // pW, pW).permute(1, 3, 2, 4, 0).flatten(2).flatten(0, 1) + flat_x.append(img) + x = flat_x + padded_img_embed = torch.zeros(bsz, max_img_len, x[0].shape[-1], device=device, dtype=x[0].dtype) + padded_img_mask = torch.zeros(bsz, max_img_len, dtype=dtype, device=device) + for i in range(bsz): + padded_img_embed[i, :l_effective_img_len[i]] = x[i] + padded_img_mask[i, l_effective_img_len[i]:] = -torch.finfo(dtype).max + + padded_img_embed = self.x_embedder(padded_img_embed) + padded_img_mask = padded_img_mask.unsqueeze(1) + for layer in self.noise_refiner: + padded_img_embed = layer(padded_img_embed, padded_img_mask, img_freqs_cis, t, transformer_options=transformer_options) + + if cap_mask is not None: + mask = torch.zeros(bsz, max_seq_len, dtype=dtype, device=device) + mask[:, :max_cap_len] = cap_mask[:, :max_cap_len] + else: + mask = None + + padded_full_embed = torch.zeros(bsz, max_seq_len, self.dim, device=device, dtype=x[0].dtype) + for i in range(bsz): + cap_len = l_effective_cap_len[i] + img_len = l_effective_img_len[i] + + padded_full_embed[i, :cap_len] = cap_feats[i, :cap_len] + padded_full_embed[i, cap_len:cap_len+img_len] = padded_img_embed[i, :img_len] + + return padded_full_embed, mask, img_sizes, l_effective_cap_len, freqs_cis + + def forward(self, x, timesteps, context, num_tokens, attention_mask=None, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, kwargs.get("transformer_options", {})) + ).execute(x, timesteps, context, num_tokens, attention_mask, **kwargs) + + # def forward(self, x, t, cap_feats, cap_mask): + def _forward(self, x, timesteps, context, num_tokens, attention_mask=None, **kwargs): + t = 1.0 - timesteps + cap_feats = context + cap_mask = attention_mask + bs, c, h, w = x.shape + x = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size)) + """ + Forward pass of NextDiT. + t: (N,) tensor of diffusion timesteps + y: (N,) tensor of text tokens/features + """ + + t = self.t_embedder(t, dtype=x.dtype) # (N, D) + adaln_input = t + + cap_feats = self.cap_embedder(cap_feats) # (N, L, D) # todo check if able to batchify w.o. redundant compute + + transformer_options = kwargs.get("transformer_options", {}) + x_is_tensor = isinstance(x, torch.Tensor) + x, mask, img_size, cap_size, freqs_cis = self.patchify_and_embed(x, cap_feats, cap_mask, t, num_tokens, transformer_options=transformer_options) + freqs_cis = freqs_cis.to(x.device) + + for layer in self.layers: + x = layer(x, mask, freqs_cis, adaln_input, transformer_options=transformer_options) + + x = self.final_layer(x, adaln_input) + x = self.unpatchify(x, img_size, cap_size, return_tensor=x_is_tensor)[:,:,:h,:w] + + return -x + diff --git a/comfy/ldm/models/autoencoder.py b/comfy/ldm/models/autoencoder.py new file mode 100644 index 0000000000000000000000000000000000000000..611d36a1bf9441ad5a7627332e09f738273b0a41 --- /dev/null +++ b/comfy/ldm/models/autoencoder.py @@ -0,0 +1,237 @@ +import logging +import math +import torch +from contextlib import contextmanager +from typing import Any, Dict, Tuple, Union + +from comfy.ldm.modules.distributions.distributions import DiagonalGaussianDistribution + +from comfy.ldm.util import get_obj_from_str, instantiate_from_config +from comfy.ldm.modules.ema import LitEma +import comfy.ops + +class DiagonalGaussianRegularizer(torch.nn.Module): + def __init__(self, sample: bool = False): + super().__init__() + self.sample = sample + + def get_trainable_parameters(self) -> Any: + yield from () + + def forward(self, z: torch.Tensor) -> Tuple[torch.Tensor, dict]: + posterior = DiagonalGaussianDistribution(z) + if self.sample: + z = posterior.sample() + else: + z = posterior.mode() + return z, None + +class EmptyRegularizer(torch.nn.Module): + def __init__(self): + super().__init__() + + def forward(self, z: torch.Tensor) -> Tuple[torch.Tensor, dict]: + return z, None + +class AbstractAutoencoder(torch.nn.Module): + """ + This is the base class for all autoencoders, including image autoencoders, image autoencoders with discriminators, + unCLIP models, etc. Hence, it is fairly general, and specific features + (e.g. discriminator training, encoding, decoding) must be implemented in subclasses. + """ + + def __init__( + self, + ema_decay: Union[None, float] = None, + monitor: Union[None, str] = None, + input_key: str = "jpg", + **kwargs, + ): + super().__init__() + + self.input_key = input_key + self.use_ema = ema_decay is not None + if monitor is not None: + self.monitor = monitor + + if self.use_ema: + self.model_ema = LitEma(self, decay=ema_decay) + logging.info(f"Keeping EMAs of {len(list(self.model_ema.buffers()))}.") + + def get_input(self, batch) -> Any: + raise NotImplementedError() + + def on_train_batch_end(self, *args, **kwargs): + # for EMA computation + if self.use_ema: + self.model_ema(self) + + @contextmanager + def ema_scope(self, context=None): + if self.use_ema: + self.model_ema.store(self.parameters()) + self.model_ema.copy_to(self) + if context is not None: + logging.info(f"{context}: Switched to EMA weights") + try: + yield None + finally: + if self.use_ema: + self.model_ema.restore(self.parameters()) + if context is not None: + logging.info(f"{context}: Restored training weights") + + def encode(self, *args, **kwargs) -> torch.Tensor: + raise NotImplementedError("encode()-method of abstract base class called") + + def decode(self, *args, **kwargs) -> torch.Tensor: + raise NotImplementedError("decode()-method of abstract base class called") + + def instantiate_optimizer_from_config(self, params, lr, cfg): + logging.info(f"loading >>> {cfg['target']} <<< optimizer from config") + return get_obj_from_str(cfg["target"])( + params, lr=lr, **cfg.get("params", dict()) + ) + + def configure_optimizers(self) -> Any: + raise NotImplementedError() + + +class AutoencodingEngine(AbstractAutoencoder): + """ + Base class for all image autoencoders that we train, like VQGAN or AutoencoderKL + (we also restore them explicitly as special cases for legacy reasons). + Regularizations such as KL or VQ are moved to the regularizer class. + """ + + def __init__( + self, + *args, + encoder_config: Dict, + decoder_config: Dict, + regularizer_config: Dict, + **kwargs, + ): + super().__init__(*args, **kwargs) + + self.encoder: torch.nn.Module = instantiate_from_config(encoder_config) + self.decoder: torch.nn.Module = instantiate_from_config(decoder_config) + self.regularization = instantiate_from_config( + regularizer_config + ) + + def get_last_layer(self): + return self.decoder.get_last_layer() + + def encode( + self, + x: torch.Tensor, + return_reg_log: bool = False, + unregularized: bool = False, + ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]: + z = self.encoder(x) + if unregularized: + return z, dict() + z, reg_log = self.regularization(z) + if return_reg_log: + return z, reg_log + return z + + def decode(self, z: torch.Tensor, **kwargs) -> torch.Tensor: + x = self.decoder(z, **kwargs) + return x + + def forward( + self, x: torch.Tensor, **additional_decode_kwargs + ) -> Tuple[torch.Tensor, torch.Tensor, dict]: + z, reg_log = self.encode(x, return_reg_log=True) + dec = self.decode(z, **additional_decode_kwargs) + return z, dec, reg_log + + +class AutoencodingEngineLegacy(AutoencodingEngine): + def __init__(self, embed_dim: int, **kwargs): + self.max_batch_size = kwargs.pop("max_batch_size", None) + ddconfig = kwargs.pop("ddconfig") + super().__init__( + encoder_config={ + "target": "comfy.ldm.modules.diffusionmodules.model.Encoder", + "params": ddconfig, + }, + decoder_config={ + "target": "comfy.ldm.modules.diffusionmodules.model.Decoder", + "params": ddconfig, + }, + **kwargs, + ) + + if ddconfig.get("conv3d", False): + conv_op = comfy.ops.disable_weight_init.Conv3d + else: + conv_op = comfy.ops.disable_weight_init.Conv2d + + self.quant_conv = conv_op( + (1 + ddconfig["double_z"]) * ddconfig["z_channels"], + (1 + ddconfig["double_z"]) * embed_dim, + 1, + ) + + self.post_quant_conv = conv_op(embed_dim, ddconfig["z_channels"], 1) + self.embed_dim = embed_dim + + def get_autoencoder_params(self) -> list: + params = super().get_autoencoder_params() + return params + + def encode( + self, x: torch.Tensor, return_reg_log: bool = False + ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]: + if self.max_batch_size is None: + z = self.encoder(x) + z = self.quant_conv(z) + else: + N = x.shape[0] + bs = self.max_batch_size + n_batches = int(math.ceil(N / bs)) + z = list() + for i_batch in range(n_batches): + z_batch = self.encoder(x[i_batch * bs : (i_batch + 1) * bs]) + z_batch = self.quant_conv(z_batch) + z.append(z_batch) + z = torch.cat(z, 0) + + z, reg_log = self.regularization(z) + if return_reg_log: + return z, reg_log + return z + + def decode(self, z: torch.Tensor, **decoder_kwargs) -> torch.Tensor: + if self.max_batch_size is None: + dec = self.post_quant_conv(z) + dec = self.decoder(dec, **decoder_kwargs) + else: + N = z.shape[0] + bs = self.max_batch_size + n_batches = int(math.ceil(N / bs)) + dec = list() + for i_batch in range(n_batches): + dec_batch = self.post_quant_conv(z[i_batch * bs : (i_batch + 1) * bs]) + dec_batch = self.decoder(dec_batch, **decoder_kwargs) + dec.append(dec_batch) + dec = torch.cat(dec, 0) + + return dec + + +class AutoencoderKL(AutoencodingEngineLegacy): + def __init__(self, **kwargs): + if "lossconfig" in kwargs: + kwargs["loss_config"] = kwargs.pop("lossconfig") + super().__init__( + regularizer_config={ + "target": ( + "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer" + ) + }, + **kwargs, + ) diff --git a/comfy/ldm/modules/attention.py b/comfy/ldm/modules/attention.py new file mode 100644 index 0000000000000000000000000000000000000000..7437e05675b5b9554ea5917dd1e7181645c39fc9 --- /dev/null +++ b/comfy/ldm/modules/attention.py @@ -0,0 +1,1094 @@ +import math +import sys + +import torch +import torch.nn.functional as F +from torch import nn, einsum +from einops import rearrange, repeat +from typing import Optional, Any, Callable, Union +import logging +import functools + +from .diffusionmodules.util import AlphaBlender, timestep_embedding +from .sub_quadratic_attention import efficient_dot_product_attention + +from comfy import model_management + +if model_management.xformers_enabled(): + import xformers + import xformers.ops + +SAGE_ATTENTION_IS_AVAILABLE = False +try: + from sageattention import sageattn + SAGE_ATTENTION_IS_AVAILABLE = True +except ImportError as e: + if model_management.sage_attention_enabled(): + if e.name == "sageattention": + logging.error(f"\n\nTo use the `--use-sage-attention` feature, the `sageattention` package must be installed first.\ncommand:\n\t{sys.executable} -m pip install sageattention") + else: + raise e + exit(-1) + +FLASH_ATTENTION_IS_AVAILABLE = False +try: + from flash_attn import flash_attn_func + FLASH_ATTENTION_IS_AVAILABLE = True +except ImportError: + if model_management.flash_attention_enabled(): + logging.error(f"\n\nTo use the `--use-flash-attention` feature, the `flash-attn` package must be installed first.\ncommand:\n\t{sys.executable} -m pip install flash-attn") + exit(-1) + +REGISTERED_ATTENTION_FUNCTIONS = {} +def register_attention_function(name: str, func: Callable): + # avoid replacing existing functions + if name not in REGISTERED_ATTENTION_FUNCTIONS: + REGISTERED_ATTENTION_FUNCTIONS[name] = func + else: + logging.warning(f"Attention function {name} already registered, skipping registration.") + +def get_attention_function(name: str, default: Any=...) -> Union[Callable, None]: + if name == "optimized": + return optimized_attention + elif name not in REGISTERED_ATTENTION_FUNCTIONS: + if default is ...: + raise KeyError(f"Attention function {name} not found.") + else: + return default + return REGISTERED_ATTENTION_FUNCTIONS[name] + +from comfy.cli_args import args +import comfy.ops +ops = comfy.ops.disable_weight_init + +FORCE_UPCAST_ATTENTION_DTYPE = model_management.force_upcast_attention_dtype() + +def get_attn_precision(attn_precision, current_dtype): + if args.dont_upcast_attention: + return None + + if FORCE_UPCAST_ATTENTION_DTYPE is not None and current_dtype in FORCE_UPCAST_ATTENTION_DTYPE: + return FORCE_UPCAST_ATTENTION_DTYPE[current_dtype] + return attn_precision + +def exists(val): + return val is not None + + +def default(val, d): + if exists(val): + return val + return d + + +# feedforward +class GEGLU(nn.Module): + def __init__(self, dim_in, dim_out, dtype=None, device=None, operations=ops): + super().__init__() + self.proj = operations.Linear(dim_in, dim_out * 2, dtype=dtype, device=device) + + def forward(self, x): + x, gate = self.proj(x).chunk(2, dim=-1) + return x * F.gelu(gate) + + +class FeedForward(nn.Module): + def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0., dtype=None, device=None, operations=ops): + super().__init__() + inner_dim = int(dim * mult) + dim_out = default(dim_out, dim) + project_in = nn.Sequential( + operations.Linear(dim, inner_dim, dtype=dtype, device=device), + nn.GELU() + ) if not glu else GEGLU(dim, inner_dim, dtype=dtype, device=device, operations=operations) + + self.net = nn.Sequential( + project_in, + nn.Dropout(dropout), + operations.Linear(inner_dim, dim_out, dtype=dtype, device=device) + ) + + def forward(self, x): + return self.net(x) + +def Normalize(in_channels, dtype=None, device=None): + return torch.nn.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True, dtype=dtype, device=device) + + +def wrap_attn(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + remove_attn_wrapper_key = False + try: + if "_inside_attn_wrapper" not in kwargs: + transformer_options = kwargs.get("transformer_options", None) + remove_attn_wrapper_key = True + kwargs["_inside_attn_wrapper"] = True + if transformer_options is not None: + if "optimized_attention_override" in transformer_options: + return transformer_options["optimized_attention_override"](func, *args, **kwargs) + return func(*args, **kwargs) + finally: + if remove_attn_wrapper_key: + del kwargs["_inside_attn_wrapper"] + return wrapper + +@wrap_attn +def attention_basic(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + attn_precision = get_attn_precision(attn_precision, q.dtype) + + if skip_reshape: + b, _, _, dim_head = q.shape + else: + b, _, dim_head = q.shape + dim_head //= heads + + scale = dim_head ** -0.5 + + h = heads + if skip_reshape: + q, k, v = map( + lambda t: t.reshape(b * heads, -1, dim_head), + (q, k, v), + ) + else: + q, k, v = map( + lambda t: t.unsqueeze(3) + .reshape(b, -1, heads, dim_head) + .permute(0, 2, 1, 3) + .reshape(b * heads, -1, dim_head) + .contiguous(), + (q, k, v), + ) + + # force cast to fp32 to avoid overflowing + if attn_precision == torch.float32: + sim = einsum('b i d, b j d -> b i j', q.float(), k.float()) * scale + else: + sim = einsum('b i d, b j d -> b i j', q, k) * scale + + del q, k + + if exists(mask): + if mask.dtype == torch.bool: + mask = rearrange(mask, 'b ... -> b (...)') #TODO: check if this bool part matches pytorch attention + max_neg_value = -torch.finfo(sim.dtype).max + mask = repeat(mask, 'b j -> (b h) () j', h=h) + sim.masked_fill_(~mask, max_neg_value) + else: + if len(mask.shape) == 2: + bs = 1 + else: + bs = mask.shape[0] + mask = mask.reshape(bs, -1, mask.shape[-2], mask.shape[-1]).expand(b, heads, -1, -1).reshape(-1, mask.shape[-2], mask.shape[-1]) + sim.add_(mask) + + # attention, what we cannot get enough of + sim = sim.softmax(dim=-1) + + out = einsum('b i j, b j d -> b i d', sim.to(v.dtype), v) + + if skip_output_reshape: + out = ( + out.unsqueeze(0) + .reshape(b, heads, -1, dim_head) + ) + else: + out = ( + out.unsqueeze(0) + .reshape(b, heads, -1, dim_head) + .permute(0, 2, 1, 3) + .reshape(b, -1, heads * dim_head) + ) + return out + +@wrap_attn +def attention_sub_quad(query, key, value, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + attn_precision = get_attn_precision(attn_precision, query.dtype) + + if skip_reshape: + b, _, _, dim_head = query.shape + else: + b, _, dim_head = query.shape + dim_head //= heads + + if skip_reshape: + query = query.reshape(b * heads, -1, dim_head) + value = value.reshape(b * heads, -1, dim_head) + key = key.reshape(b * heads, -1, dim_head).movedim(1, 2) + else: + query = query.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 1, 3).reshape(b * heads, -1, dim_head) + value = value.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 1, 3).reshape(b * heads, -1, dim_head) + key = key.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 3, 1).reshape(b * heads, dim_head, -1) + + + dtype = query.dtype + upcast_attention = attn_precision == torch.float32 and query.dtype != torch.float32 + if upcast_attention: + bytes_per_token = torch.finfo(torch.float32).bits//8 + else: + bytes_per_token = torch.finfo(query.dtype).bits//8 + batch_x_heads, q_tokens, _ = query.shape + _, _, k_tokens = key.shape + + mem_free_total, _ = model_management.get_free_memory(query.device, True) + + kv_chunk_size_min = None + kv_chunk_size = None + query_chunk_size = None + + for x in [4096, 2048, 1024, 512, 256]: + count = mem_free_total / (batch_x_heads * bytes_per_token * x * 4.0) + if count >= k_tokens: + kv_chunk_size = k_tokens + query_chunk_size = x + break + + if query_chunk_size is None: + query_chunk_size = 512 + + if mask is not None: + if len(mask.shape) == 2: + bs = 1 + else: + bs = mask.shape[0] + mask = mask.reshape(bs, -1, mask.shape[-2], mask.shape[-1]).expand(b, heads, -1, -1).reshape(-1, mask.shape[-2], mask.shape[-1]) + + hidden_states = efficient_dot_product_attention( + query, + key, + value, + query_chunk_size=query_chunk_size, + kv_chunk_size=kv_chunk_size, + kv_chunk_size_min=kv_chunk_size_min, + use_checkpoint=False, + upcast_attention=upcast_attention, + mask=mask, + ) + + hidden_states = hidden_states.to(dtype) + if skip_output_reshape: + hidden_states = hidden_states.unflatten(0, (-1, heads)) + else: + hidden_states = hidden_states.unflatten(0, (-1, heads)).transpose(1,2).flatten(start_dim=2) + return hidden_states + +@wrap_attn +def attention_split(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + attn_precision = get_attn_precision(attn_precision, q.dtype) + + if skip_reshape: + b, _, _, dim_head = q.shape + else: + b, _, dim_head = q.shape + dim_head //= heads + + scale = dim_head ** -0.5 + + if skip_reshape: + q, k, v = map( + lambda t: t.reshape(b * heads, -1, dim_head), + (q, k, v), + ) + else: + q, k, v = map( + lambda t: t.unsqueeze(3) + .reshape(b, -1, heads, dim_head) + .permute(0, 2, 1, 3) + .reshape(b * heads, -1, dim_head) + .contiguous(), + (q, k, v), + ) + + r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device, dtype=q.dtype) + + mem_free_total = model_management.get_free_memory(q.device) + + if attn_precision == torch.float32: + element_size = 4 + upcast = True + else: + element_size = q.element_size() + upcast = False + + gb = 1024 ** 3 + tensor_size = q.shape[0] * q.shape[1] * k.shape[1] * element_size + modifier = 3 + mem_required = tensor_size * modifier + steps = 1 + + + if mem_required > mem_free_total: + steps = 2**(math.ceil(math.log(mem_required / mem_free_total, 2))) + # print(f"Expected tensor size:{tensor_size/gb:0.1f}GB, cuda free:{mem_free_cuda/gb:0.1f}GB " + # f"torch free:{mem_free_torch/gb:0.1f} total:{mem_free_total/gb:0.1f} steps:{steps}") + + if steps > 64: + max_res = math.floor(math.sqrt(math.sqrt(mem_free_total / 2.5)) / 8) * 64 + raise RuntimeError(f'Not enough memory, use lower resolution (max approx. {max_res}x{max_res}). ' + f'Need: {mem_required/64/gb:0.1f}GB free, Have:{mem_free_total/gb:0.1f}GB free') + + if mask is not None: + if len(mask.shape) == 2: + bs = 1 + else: + bs = mask.shape[0] + mask = mask.reshape(bs, -1, mask.shape[-2], mask.shape[-1]).expand(b, heads, -1, -1).reshape(-1, mask.shape[-2], mask.shape[-1]) + + # print("steps", steps, mem_required, mem_free_total, modifier, q.element_size(), tensor_size) + first_op_done = False + cleared_cache = False + while True: + try: + slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1] + for i in range(0, q.shape[1], slice_size): + end = i + slice_size + if upcast: + with torch.autocast(enabled=False, device_type = 'cuda'): + s1 = einsum('b i d, b j d -> b i j', q[:, i:end].float(), k.float()) * scale + else: + s1 = einsum('b i d, b j d -> b i j', q[:, i:end], k) * scale + + if mask is not None: + if len(mask.shape) == 2: + s1 += mask[i:end] + else: + if mask.shape[1] == 1: + s1 += mask + else: + s1 += mask[:, i:end] + + s2 = s1.softmax(dim=-1).to(v.dtype) + del s1 + first_op_done = True + + r1[:, i:end] = einsum('b i j, b j d -> b i d', s2, v) + del s2 + break + except model_management.OOM_EXCEPTION as e: + if first_op_done == False: + model_management.soft_empty_cache(True) + if cleared_cache == False: + cleared_cache = True + logging.warning("out of memory error, emptying cache and trying again") + continue + steps *= 2 + if steps > 64: + raise e + logging.warning("out of memory error, increasing steps and trying again {}".format(steps)) + else: + raise e + + del q, k, v + + if skip_output_reshape: + r1 = ( + r1.unsqueeze(0) + .reshape(b, heads, -1, dim_head) + ) + else: + r1 = ( + r1.unsqueeze(0) + .reshape(b, heads, -1, dim_head) + .permute(0, 2, 1, 3) + .reshape(b, -1, heads * dim_head) + ) + return r1 + +BROKEN_XFORMERS = False +try: + x_vers = xformers.__version__ + # XFormers bug confirmed on all versions from 0.0.21 to 0.0.26 (q with bs bigger than 65535 gives CUDA error) + BROKEN_XFORMERS = x_vers.startswith("0.0.2") and not x_vers.startswith("0.0.20") +except: + pass + +@wrap_attn +def attention_xformers(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + b = q.shape[0] + dim_head = q.shape[-1] + # check to make sure xformers isn't broken + disabled_xformers = False + + if BROKEN_XFORMERS: + if b * heads > 65535: + disabled_xformers = True + + if not disabled_xformers: + if torch.jit.is_tracing() or torch.jit.is_scripting(): + disabled_xformers = True + + if disabled_xformers: + return attention_pytorch(q, k, v, heads, mask, skip_reshape=skip_reshape, **kwargs) + + if skip_reshape: + # b h k d -> b k h d + q, k, v = map( + lambda t: t.permute(0, 2, 1, 3), + (q, k, v), + ) + # actually do the reshaping + else: + dim_head //= heads + q, k, v = map( + lambda t: t.reshape(b, -1, heads, dim_head), + (q, k, v), + ) + + if mask is not None: + # add a singleton batch dimension + if mask.ndim == 2: + mask = mask.unsqueeze(0) + # add a singleton heads dimension + if mask.ndim == 3: + mask = mask.unsqueeze(1) + # pad to a multiple of 8 + pad = 8 - mask.shape[-1] % 8 + # the xformers docs says that it's allowed to have a mask of shape (1, Nq, Nk) + # but when using separated heads, the shape has to be (B, H, Nq, Nk) + # in flux, this matrix ends up being over 1GB + # here, we create a mask with the same batch/head size as the input mask (potentially singleton or full) + mask_out = torch.empty([mask.shape[0], mask.shape[1], q.shape[1], mask.shape[-1] + pad], dtype=q.dtype, device=q.device) + + mask_out[..., :mask.shape[-1]] = mask + # doesn't this remove the padding again?? + mask = mask_out[..., :mask.shape[-1]] + mask = mask.expand(b, heads, -1, -1) + + out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask) + + if skip_output_reshape: + out = out.permute(0, 2, 1, 3) + else: + out = ( + out.reshape(b, -1, heads * dim_head) + ) + + return out + +if model_management.is_nvidia(): #pytorch 2.3 and up seem to have this issue. + SDP_BATCH_LIMIT = 2**15 +else: + #TODO: other GPUs ? + SDP_BATCH_LIMIT = 2**31 + +@wrap_attn +def attention_pytorch(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + if skip_reshape: + b, _, _, dim_head = q.shape + else: + b, _, dim_head = q.shape + dim_head //= heads + q, k, v = map( + lambda t: t.view(b, -1, heads, dim_head).transpose(1, 2), + (q, k, v), + ) + + if mask is not None: + # add a batch dimension if there isn't already one + if mask.ndim == 2: + mask = mask.unsqueeze(0) + # add a heads dimension if there isn't already one + if mask.ndim == 3: + mask = mask.unsqueeze(1) + + if SDP_BATCH_LIMIT >= b: + out = comfy.ops.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False) + if not skip_output_reshape: + out = ( + out.transpose(1, 2).reshape(b, -1, heads * dim_head) + ) + else: + out = torch.empty((b, q.shape[2], heads * dim_head), dtype=q.dtype, layout=q.layout, device=q.device) + for i in range(0, b, SDP_BATCH_LIMIT): + m = mask + if mask is not None: + if mask.shape[0] > 1: + m = mask[i : i + SDP_BATCH_LIMIT] + + out[i : i + SDP_BATCH_LIMIT] = comfy.ops.scaled_dot_product_attention( + q[i : i + SDP_BATCH_LIMIT], + k[i : i + SDP_BATCH_LIMIT], + v[i : i + SDP_BATCH_LIMIT], + attn_mask=m, + dropout_p=0.0, is_causal=False + ).transpose(1, 2).reshape(-1, q.shape[2], heads * dim_head) + return out + +@wrap_attn +def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + if skip_reshape: + b, _, _, dim_head = q.shape + tensor_layout = "HND" + else: + b, _, dim_head = q.shape + dim_head //= heads + q, k, v = map( + lambda t: t.view(b, -1, heads, dim_head), + (q, k, v), + ) + tensor_layout = "NHD" + + if mask is not None: + # add a batch dimension if there isn't already one + if mask.ndim == 2: + mask = mask.unsqueeze(0) + # add a heads dimension if there isn't already one + if mask.ndim == 3: + mask = mask.unsqueeze(1) + + try: + out = sageattn(q, k, v, attn_mask=mask, is_causal=False, tensor_layout=tensor_layout) + except Exception as e: + logging.error("Error running sage attention: {}, using pytorch attention instead.".format(e)) + if tensor_layout == "NHD": + q, k, v = map( + lambda t: t.transpose(1, 2), + (q, k, v), + ) + return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape, **kwargs) + + if tensor_layout == "HND": + if not skip_output_reshape: + out = ( + out.transpose(1, 2).reshape(b, -1, heads * dim_head) + ) + else: + if skip_output_reshape: + out = out.transpose(1, 2) + else: + out = out.reshape(b, -1, heads * dim_head) + return out + + +try: + @torch.library.custom_op("flash_attention::flash_attn", mutates_args=()) + def flash_attn_wrapper(q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, + dropout_p: float = 0.0, causal: bool = False) -> torch.Tensor: + return flash_attn_func(q, k, v, dropout_p=dropout_p, causal=causal) + + + @flash_attn_wrapper.register_fake + def flash_attn_fake(q, k, v, dropout_p=0.0, causal=False): + # Output shape is the same as q + return q.new_empty(q.shape) +except AttributeError as error: + FLASH_ATTN_ERROR = error + + def flash_attn_wrapper(q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, + dropout_p: float = 0.0, causal: bool = False) -> torch.Tensor: + assert False, f"Could not define flash_attn_wrapper: {FLASH_ATTN_ERROR}" + +@wrap_attn +def attention_flash(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs): + if skip_reshape: + b, _, _, dim_head = q.shape + else: + b, _, dim_head = q.shape + dim_head //= heads + q, k, v = map( + lambda t: t.view(b, -1, heads, dim_head).transpose(1, 2), + (q, k, v), + ) + + if mask is not None: + # add a batch dimension if there isn't already one + if mask.ndim == 2: + mask = mask.unsqueeze(0) + # add a heads dimension if there isn't already one + if mask.ndim == 3: + mask = mask.unsqueeze(1) + + try: + if mask is not None: + raise RuntimeError("Mask must not be set for Flash attention") + out = flash_attn_wrapper( + q.transpose(1, 2), + k.transpose(1, 2), + v.transpose(1, 2), + dropout_p=0.0, + causal=False, + ).transpose(1, 2) + except Exception as e: + logging.warning(f"Flash Attention failed, using default SDPA: {e}") + out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False) + if not skip_output_reshape: + out = ( + out.transpose(1, 2).reshape(b, -1, heads * dim_head) + ) + return out + + +optimized_attention = attention_basic + +if model_management.sage_attention_enabled(): + logging.info("Using sage attention") + optimized_attention = attention_sage +elif model_management.xformers_enabled(): + logging.info("Using xformers attention") + optimized_attention = attention_xformers +elif model_management.flash_attention_enabled(): + logging.info("Using Flash Attention") + optimized_attention = attention_flash +elif model_management.pytorch_attention_enabled(): + logging.info("Using pytorch attention") + optimized_attention = attention_pytorch +else: + if args.use_split_cross_attention: + logging.info("Using split optimization for attention") + optimized_attention = attention_split + else: + logging.info("Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention") + optimized_attention = attention_sub_quad + +optimized_attention_masked = optimized_attention + + +# register core-supported attention functions +if SAGE_ATTENTION_IS_AVAILABLE: + register_attention_function("sage", attention_sage) +if FLASH_ATTENTION_IS_AVAILABLE: + register_attention_function("flash", attention_flash) +if model_management.xformers_enabled(): + register_attention_function("xformers", attention_xformers) +register_attention_function("pytorch", attention_pytorch) +register_attention_function("sub_quad", attention_sub_quad) +register_attention_function("split", attention_split) + + +def optimized_attention_for_device(device, mask=False, small_input=False): + if small_input: + if model_management.pytorch_attention_enabled(): + return attention_pytorch #TODO: need to confirm but this is probably slightly faster for small inputs in all cases + else: + return attention_basic + + if device == torch.device("cpu"): + return attention_sub_quad + + if mask: + return optimized_attention_masked + + return optimized_attention + + +class CrossAttention(nn.Module): + def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., attn_precision=None, dtype=None, device=None, operations=ops): + super().__init__() + inner_dim = dim_head * heads + context_dim = default(context_dim, query_dim) + self.attn_precision = attn_precision + + self.heads = heads + self.dim_head = dim_head + + self.to_q = operations.Linear(query_dim, inner_dim, bias=False, dtype=dtype, device=device) + self.to_k = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device) + self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device) + + self.to_out = nn.Sequential(operations.Linear(inner_dim, query_dim, dtype=dtype, device=device), nn.Dropout(dropout)) + + def forward(self, x, context=None, value=None, mask=None, transformer_options={}): + q = self.to_q(x) + context = default(context, x) + k = self.to_k(context) + if value is not None: + v = self.to_v(value) + del value + else: + v = self.to_v(context) + + if mask is None: + out = optimized_attention(q, k, v, self.heads, attn_precision=self.attn_precision, transformer_options=transformer_options) + else: + out = optimized_attention_masked(q, k, v, self.heads, mask, attn_precision=self.attn_precision, transformer_options=transformer_options) + return self.to_out(out) + + +class BasicTransformerBlock(nn.Module): + def __init__(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True, ff_in=False, inner_dim=None, + disable_self_attn=False, disable_temporal_crossattention=False, switch_temporal_ca_to_sa=False, attn_precision=None, dtype=None, device=None, operations=ops): + super().__init__() + + self.ff_in = ff_in or inner_dim is not None + if inner_dim is None: + inner_dim = dim + + self.is_res = inner_dim == dim + self.attn_precision = attn_precision + + if self.ff_in: + self.norm_in = operations.LayerNorm(dim, dtype=dtype, device=device) + self.ff_in = FeedForward(dim, dim_out=inner_dim, dropout=dropout, glu=gated_ff, dtype=dtype, device=device, operations=operations) + + self.disable_self_attn = disable_self_attn + self.attn1 = CrossAttention(query_dim=inner_dim, heads=n_heads, dim_head=d_head, dropout=dropout, + context_dim=context_dim if self.disable_self_attn else None, attn_precision=self.attn_precision, dtype=dtype, device=device, operations=operations) # is a self-attention if not self.disable_self_attn + self.ff = FeedForward(inner_dim, dim_out=dim, dropout=dropout, glu=gated_ff, dtype=dtype, device=device, operations=operations) + + if disable_temporal_crossattention: + if switch_temporal_ca_to_sa: + raise ValueError + else: + self.attn2 = None + else: + context_dim_attn2 = None + if not switch_temporal_ca_to_sa: + context_dim_attn2 = context_dim + + self.attn2 = CrossAttention(query_dim=inner_dim, context_dim=context_dim_attn2, + heads=n_heads, dim_head=d_head, dropout=dropout, attn_precision=self.attn_precision, dtype=dtype, device=device, operations=operations) # is self-attn if context is none + self.norm2 = operations.LayerNorm(inner_dim, dtype=dtype, device=device) + + self.norm1 = operations.LayerNorm(inner_dim, dtype=dtype, device=device) + self.norm3 = operations.LayerNorm(inner_dim, dtype=dtype, device=device) + self.n_heads = n_heads + self.d_head = d_head + self.switch_temporal_ca_to_sa = switch_temporal_ca_to_sa + + def forward(self, x, context=None, transformer_options={}): + extra_options = {} + block = transformer_options.get("block", None) + block_index = transformer_options.get("block_index", 0) + transformer_patches = {} + transformer_patches_replace = {} + + for k in transformer_options: + if k == "patches": + transformer_patches = transformer_options[k] + elif k == "patches_replace": + transformer_patches_replace = transformer_options[k] + else: + extra_options[k] = transformer_options[k] + + extra_options["n_heads"] = self.n_heads + extra_options["dim_head"] = self.d_head + extra_options["attn_precision"] = self.attn_precision + + if self.ff_in: + x_skip = x + x = self.ff_in(self.norm_in(x)) + if self.is_res: + x += x_skip + + n = self.norm1(x) + if self.disable_self_attn: + context_attn1 = context + else: + context_attn1 = None + value_attn1 = None + + if "attn1_patch" in transformer_patches: + patch = transformer_patches["attn1_patch"] + if context_attn1 is None: + context_attn1 = n + value_attn1 = context_attn1 + for p in patch: + n, context_attn1, value_attn1 = p(n, context_attn1, value_attn1, extra_options) + + if block is not None: + transformer_block = (block[0], block[1], block_index) + else: + transformer_block = None + attn1_replace_patch = transformer_patches_replace.get("attn1", {}) + block_attn1 = transformer_block + if block_attn1 not in attn1_replace_patch: + block_attn1 = block + + if block_attn1 in attn1_replace_patch: + if context_attn1 is None: + context_attn1 = n + value_attn1 = n + n = self.attn1.to_q(n) + context_attn1 = self.attn1.to_k(context_attn1) + value_attn1 = self.attn1.to_v(value_attn1) + n = attn1_replace_patch[block_attn1](n, context_attn1, value_attn1, extra_options) + n = self.attn1.to_out(n) + else: + n = self.attn1(n, context=context_attn1, value=value_attn1, transformer_options=transformer_options) + + if "attn1_output_patch" in transformer_patches: + patch = transformer_patches["attn1_output_patch"] + for p in patch: + n = p(n, extra_options) + + x = n + x + if "middle_patch" in transformer_patches: + patch = transformer_patches["middle_patch"] + for p in patch: + x = p(x, extra_options) + + if self.attn2 is not None: + n = self.norm2(x) + if self.switch_temporal_ca_to_sa: + context_attn2 = n + else: + context_attn2 = context + value_attn2 = None + if "attn2_patch" in transformer_patches: + patch = transformer_patches["attn2_patch"] + value_attn2 = context_attn2 + for p in patch: + n, context_attn2, value_attn2 = p(n, context_attn2, value_attn2, extra_options) + + attn2_replace_patch = transformer_patches_replace.get("attn2", {}) + block_attn2 = transformer_block + if block_attn2 not in attn2_replace_patch: + block_attn2 = block + + if block_attn2 in attn2_replace_patch: + if value_attn2 is None: + value_attn2 = context_attn2 + n = self.attn2.to_q(n) + context_attn2 = self.attn2.to_k(context_attn2) + value_attn2 = self.attn2.to_v(value_attn2) + n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options) + n = self.attn2.to_out(n) + else: + n = self.attn2(n, context=context_attn2, value=value_attn2, transformer_options=transformer_options) + + if "attn2_output_patch" in transformer_patches: + patch = transformer_patches["attn2_output_patch"] + for p in patch: + n = p(n, extra_options) + + x = n + x + if self.is_res: + x_skip = x + x = self.ff(self.norm3(x)) + if self.is_res: + x = x_skip + x + + return x + + +class SpatialTransformer(nn.Module): + """ + Transformer block for image-like data. + First, project the input (aka embedding) + and reshape to b, t, d. + Then apply standard transformer action. + Finally, reshape to image + NEW: use_linear for more efficiency instead of the 1x1 convs + """ + def __init__(self, in_channels, n_heads, d_head, + depth=1, dropout=0., context_dim=None, + disable_self_attn=False, use_linear=False, + use_checkpoint=True, attn_precision=None, dtype=None, device=None, operations=ops): + super().__init__() + if exists(context_dim) and not isinstance(context_dim, list): + context_dim = [context_dim] * depth + self.in_channels = in_channels + inner_dim = n_heads * d_head + self.norm = operations.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True, dtype=dtype, device=device) + if not use_linear: + self.proj_in = operations.Conv2d(in_channels, + inner_dim, + kernel_size=1, + stride=1, + padding=0, dtype=dtype, device=device) + else: + self.proj_in = operations.Linear(in_channels, inner_dim, dtype=dtype, device=device) + + self.transformer_blocks = nn.ModuleList( + [BasicTransformerBlock(inner_dim, n_heads, d_head, dropout=dropout, context_dim=context_dim[d], + disable_self_attn=disable_self_attn, checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=dtype, device=device, operations=operations) + for d in range(depth)] + ) + if not use_linear: + self.proj_out = operations.Conv2d(inner_dim,in_channels, + kernel_size=1, + stride=1, + padding=0, dtype=dtype, device=device) + else: + self.proj_out = operations.Linear(in_channels, inner_dim, dtype=dtype, device=device) + self.use_linear = use_linear + + def forward(self, x, context=None, transformer_options={}): + # note: if no context is given, cross-attention defaults to self-attention + if not isinstance(context, list): + context = [context] * len(self.transformer_blocks) + b, c, h, w = x.shape + transformer_options["activations_shape"] = list(x.shape) + x_in = x + x = self.norm(x) + if not self.use_linear: + x = self.proj_in(x) + x = x.movedim(1, 3).flatten(1, 2).contiguous() + if self.use_linear: + x = self.proj_in(x) + for i, block in enumerate(self.transformer_blocks): + transformer_options["block_index"] = i + x = block(x, context=context[i], transformer_options=transformer_options) + if self.use_linear: + x = self.proj_out(x) + x = x.reshape(x.shape[0], h, w, x.shape[-1]).movedim(3, 1).contiguous() + if not self.use_linear: + x = self.proj_out(x) + return x + x_in + + +class SpatialVideoTransformer(SpatialTransformer): + def __init__( + self, + in_channels, + n_heads, + d_head, + depth=1, + dropout=0.0, + use_linear=False, + context_dim=None, + use_spatial_context=False, + timesteps=None, + merge_strategy: str = "fixed", + merge_factor: float = 0.5, + time_context_dim=None, + ff_in=False, + checkpoint=False, + time_depth=1, + disable_self_attn=False, + disable_temporal_crossattention=False, + max_time_embed_period: int = 10000, + attn_precision=None, + dtype=None, device=None, operations=ops + ): + super().__init__( + in_channels, + n_heads, + d_head, + depth=depth, + dropout=dropout, + use_checkpoint=checkpoint, + context_dim=context_dim, + use_linear=use_linear, + disable_self_attn=disable_self_attn, + attn_precision=attn_precision, + dtype=dtype, device=device, operations=operations + ) + self.time_depth = time_depth + self.depth = depth + self.max_time_embed_period = max_time_embed_period + + time_mix_d_head = d_head + n_time_mix_heads = n_heads + + time_mix_inner_dim = int(time_mix_d_head * n_time_mix_heads) + + inner_dim = n_heads * d_head + if use_spatial_context: + time_context_dim = context_dim + + self.time_stack = nn.ModuleList( + [ + BasicTransformerBlock( + inner_dim, + n_time_mix_heads, + time_mix_d_head, + dropout=dropout, + context_dim=time_context_dim, + # timesteps=timesteps, + checkpoint=checkpoint, + ff_in=ff_in, + inner_dim=time_mix_inner_dim, + disable_self_attn=disable_self_attn, + disable_temporal_crossattention=disable_temporal_crossattention, + attn_precision=attn_precision, + dtype=dtype, device=device, operations=operations + ) + for _ in range(self.depth) + ] + ) + + assert len(self.time_stack) == len(self.transformer_blocks) + + self.use_spatial_context = use_spatial_context + self.in_channels = in_channels + + time_embed_dim = self.in_channels * 4 + self.time_pos_embed = nn.Sequential( + operations.Linear(self.in_channels, time_embed_dim, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(time_embed_dim, self.in_channels, dtype=dtype, device=device), + ) + + self.time_mixer = AlphaBlender( + alpha=merge_factor, merge_strategy=merge_strategy + ) + + def forward( + self, + x: torch.Tensor, + context: Optional[torch.Tensor] = None, + time_context: Optional[torch.Tensor] = None, + timesteps: Optional[int] = None, + image_only_indicator: Optional[torch.Tensor] = None, + transformer_options={} + ) -> torch.Tensor: + _, _, h, w = x.shape + transformer_options["activations_shape"] = list(x.shape) + x_in = x + spatial_context = None + if exists(context): + spatial_context = context + + if self.use_spatial_context: + assert ( + context.ndim == 3 + ), f"n dims of spatial context should be 3 but are {context.ndim}" + + if time_context is None: + time_context = context + time_context_first_timestep = time_context[::timesteps] + time_context = repeat( + time_context_first_timestep, "b ... -> (b n) ...", n=h * w + ) + elif time_context is not None and not self.use_spatial_context: + time_context = repeat(time_context, "b ... -> (b n) ...", n=h * w) + if time_context.ndim == 2: + time_context = rearrange(time_context, "b c -> b 1 c") + + x = self.norm(x) + if not self.use_linear: + x = self.proj_in(x) + x = rearrange(x, "b c h w -> b (h w) c") + if self.use_linear: + x = self.proj_in(x) + + num_frames = torch.arange(timesteps, device=x.device) + num_frames = repeat(num_frames, "t -> b t", b=x.shape[0] // timesteps) + num_frames = rearrange(num_frames, "b t -> (b t)") + t_emb = timestep_embedding(num_frames, self.in_channels, repeat_only=False, max_period=self.max_time_embed_period).to(x.dtype) + emb = self.time_pos_embed(t_emb) + emb = emb[:, None, :] + + for it_, (block, mix_block) in enumerate( + zip(self.transformer_blocks, self.time_stack) + ): + transformer_options["block_index"] = it_ + x = block( + x, + context=spatial_context, + transformer_options=transformer_options, + ) + + x_mix = x + x_mix = x_mix + emb + + B, S, C = x_mix.shape + x_mix = rearrange(x_mix, "(b t) s c -> (b s) t c", t=timesteps) + x_mix = mix_block(x_mix, context=time_context, transformer_options=transformer_options) + x_mix = rearrange( + x_mix, "(b s) t c -> (b t) s c", s=S, b=B // timesteps, c=C, t=timesteps + ) + + x = self.time_mixer(x_spatial=x, x_temporal=x_mix, image_only_indicator=image_only_indicator) + + if self.use_linear: + x = self.proj_out(x) + x = rearrange(x, "b (h w) c -> b c h w", h=h, w=w) + if not self.use_linear: + x = self.proj_out(x) + out = x + x_in + return out + + diff --git a/comfy/ldm/modules/diffusionmodules/__init__.py b/comfy/ldm/modules/diffusionmodules/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/comfy/ldm/modules/diffusionmodules/mmdit.py b/comfy/ldm/modules/diffusionmodules/mmdit.py new file mode 100644 index 0000000000000000000000000000000000000000..42f406f1aaa3612b86597e4bfc05b0572964e4e5 --- /dev/null +++ b/comfy/ldm/modules/diffusionmodules/mmdit.py @@ -0,0 +1,1034 @@ +from functools import partial +from typing import Dict, Optional, List + +import numpy as np +import torch +import torch.nn as nn +from ..attention import optimized_attention +from einops import rearrange, repeat +from .util import timestep_embedding +import comfy.ops +import comfy.ldm.common_dit + +def default(x, y): + if x is not None: + return x + return y + +class Mlp(nn.Module): + """ MLP as used in Vision Transformer, MLP-Mixer and related networks + """ + def __init__( + self, + in_features, + hidden_features=None, + out_features=None, + act_layer=nn.GELU, + norm_layer=None, + bias=True, + drop=0., + use_conv=False, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + drop_probs = drop + linear_layer = partial(operations.Conv2d, kernel_size=1) if use_conv else operations.Linear + + self.fc1 = linear_layer(in_features, hidden_features, bias=bias, dtype=dtype, device=device) + self.act = act_layer() + self.drop1 = nn.Dropout(drop_probs) + self.norm = norm_layer(hidden_features) if norm_layer is not None else nn.Identity() + self.fc2 = linear_layer(hidden_features, out_features, bias=bias, dtype=dtype, device=device) + self.drop2 = nn.Dropout(drop_probs) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + x = self.drop1(x) + x = self.norm(x) + x = self.fc2(x) + x = self.drop2(x) + return x + +class PatchEmbed(nn.Module): + """ 2D Image to Patch Embedding + """ + dynamic_img_pad: torch.jit.Final[bool] + + def __init__( + self, + img_size: Optional[int] = 224, + patch_size: int = 16, + in_chans: int = 3, + embed_dim: int = 768, + norm_layer = None, + flatten: bool = True, + bias: bool = True, + strict_img_size: bool = True, + dynamic_img_pad: bool = True, + padding_mode='circular', + conv3d=False, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + try: + len(patch_size) + self.patch_size = patch_size + except: + if conv3d: + self.patch_size = (patch_size, patch_size, patch_size) + else: + self.patch_size = (patch_size, patch_size) + self.padding_mode = padding_mode + + # flatten spatial dim and transpose to channels last, kept for bwd compat + self.flatten = flatten + self.strict_img_size = strict_img_size + self.dynamic_img_pad = dynamic_img_pad + if conv3d: + self.proj = operations.Conv3d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size, bias=bias, dtype=dtype, device=device) + else: + self.proj = operations.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size, bias=bias, dtype=dtype, device=device) + self.norm = norm_layer(embed_dim) if norm_layer else nn.Identity() + + def forward(self, x): + if self.dynamic_img_pad: + x = comfy.ldm.common_dit.pad_to_patch_size(x, self.patch_size, padding_mode=self.padding_mode) + x = self.proj(x) + if self.flatten: + x = x.flatten(2).transpose(1, 2) # NCHW -> NLC + x = self.norm(x) + return x + +def modulate(x, shift, scale): + if shift is None: + shift = torch.zeros_like(scale) + return torch.addcmul(shift.unsqueeze(1), x, 1+ scale.unsqueeze(1)) + + +################################################################################# +# Sine/Cosine Positional Embedding Functions # +################################################################################# + + +def get_2d_sincos_pos_embed( + embed_dim, + grid_size, + cls_token=False, + extra_tokens=0, + scaling_factor=None, + offset=None, +): + """ + grid_size: int of the grid height and width + return: + pos_embed: [grid_size*grid_size, embed_dim] or [1+grid_size*grid_size, embed_dim] (w/ or w/o cls_token) + """ + grid_h = np.arange(grid_size, dtype=np.float32) + grid_w = np.arange(grid_size, dtype=np.float32) + grid = np.meshgrid(grid_w, grid_h) # here w goes first + grid = np.stack(grid, axis=0) + if scaling_factor is not None: + grid = grid / scaling_factor + if offset is not None: + grid = grid - offset + + grid = grid.reshape([2, 1, grid_size, grid_size]) + pos_embed = get_2d_sincos_pos_embed_from_grid(embed_dim, grid) + if cls_token and extra_tokens > 0: + pos_embed = np.concatenate( + [np.zeros([extra_tokens, embed_dim]), pos_embed], axis=0 + ) + return pos_embed + + +def get_2d_sincos_pos_embed_from_grid(embed_dim, grid): + assert embed_dim % 2 == 0 + + # use half of dimensions to encode grid_h + emb_h = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[0]) # (H*W, D/2) + emb_w = get_1d_sincos_pos_embed_from_grid(embed_dim // 2, grid[1]) # (H*W, D/2) + + emb = np.concatenate([emb_h, emb_w], axis=1) # (H*W, D) + return emb + + +def get_1d_sincos_pos_embed_from_grid(embed_dim, pos): + """ + embed_dim: output dimension for each position + pos: a list of positions to be encoded: size (M,) + out: (M, D) + """ + assert embed_dim % 2 == 0 + omega = np.arange(embed_dim // 2, dtype=np.float64) + omega /= embed_dim / 2.0 + omega = 1.0 / 10000**omega # (D/2,) + + pos = pos.reshape(-1) # (M,) + out = np.einsum("m,d->md", pos, omega) # (M, D/2), outer product + + emb_sin = np.sin(out) # (M, D/2) + emb_cos = np.cos(out) # (M, D/2) + + emb = np.concatenate([emb_sin, emb_cos], axis=1) # (M, D) + return emb + +def get_1d_sincos_pos_embed_from_grid_torch(embed_dim, pos, device=None, dtype=torch.float32): + omega = torch.arange(embed_dim // 2, device=device, dtype=dtype) + omega /= embed_dim / 2.0 + omega = 1.0 / 10000**omega # (D/2,) + pos = pos.reshape(-1) # (M,) + out = torch.einsum("m,d->md", pos, omega) # (M, D/2), outer product + emb_sin = torch.sin(out) # (M, D/2) + emb_cos = torch.cos(out) # (M, D/2) + emb = torch.cat([emb_sin, emb_cos], dim=1) # (M, D) + return emb + +def get_2d_sincos_pos_embed_torch(embed_dim, w, h, val_center=7.5, val_magnitude=7.5, device=None, dtype=torch.float32): + small = min(h, w) + val_h = (h / small) * val_magnitude + val_w = (w / small) * val_magnitude + grid_h, grid_w = torch.meshgrid(torch.linspace(-val_h + val_center, val_h + val_center, h, device=device, dtype=dtype), torch.linspace(-val_w + val_center, val_w + val_center, w, device=device, dtype=dtype), indexing='ij') + emb_h = get_1d_sincos_pos_embed_from_grid_torch(embed_dim // 2, grid_h, device=device, dtype=dtype) + emb_w = get_1d_sincos_pos_embed_from_grid_torch(embed_dim // 2, grid_w, device=device, dtype=dtype) + emb = torch.cat([emb_w, emb_h], dim=1) # (H*W, D) + return emb + + +################################################################################# +# Embedding Layers for Timesteps and Class Labels # +################################################################################# + + +class TimestepEmbedder(nn.Module): + """ + Embeds scalar timesteps into vector representations. + """ + + def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None): + super().__init__() + self.mlp = nn.Sequential( + operations.Linear(frequency_embedding_size, hidden_size, bias=True, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(hidden_size, hidden_size, bias=True, dtype=dtype, device=device), + ) + self.frequency_embedding_size = frequency_embedding_size + + def forward(self, t, dtype, **kwargs): + t_freq = timestep_embedding(t, self.frequency_embedding_size).to(dtype) + t_emb = self.mlp(t_freq) + return t_emb + + +class VectorEmbedder(nn.Module): + """ + Embeds a flat vector of dimension input_dim + """ + + def __init__(self, input_dim: int, hidden_size: int, dtype=None, device=None, operations=None): + super().__init__() + self.mlp = nn.Sequential( + operations.Linear(input_dim, hidden_size, bias=True, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(hidden_size, hidden_size, bias=True, dtype=dtype, device=device), + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + emb = self.mlp(x) + return emb + + +################################################################################# +# Core DiT Model # +################################################################################# + + +def split_qkv(qkv, head_dim): + qkv = qkv.reshape(qkv.shape[0], qkv.shape[1], 3, -1, head_dim).movedim(2, 0) + return qkv[0], qkv[1], qkv[2] + + +class SelfAttention(nn.Module): + ATTENTION_MODES = ("xformers", "torch", "torch-hb", "math", "debug") + + def __init__( + self, + dim: int, + num_heads: int = 8, + qkv_bias: bool = False, + qk_scale: Optional[float] = None, + proj_drop: float = 0.0, + attn_mode: str = "xformers", + pre_only: bool = False, + qk_norm: Optional[str] = None, + rmsnorm: bool = False, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.num_heads = num_heads + self.head_dim = dim // num_heads + + self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device) + if not pre_only: + self.proj = operations.Linear(dim, dim, dtype=dtype, device=device) + self.proj_drop = nn.Dropout(proj_drop) + assert attn_mode in self.ATTENTION_MODES + self.attn_mode = attn_mode + self.pre_only = pre_only + + if qk_norm == "rms": + self.ln_q = RMSNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device) + self.ln_k = RMSNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device) + elif qk_norm == "ln": + self.ln_q = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device) + self.ln_k = operations.LayerNorm(self.head_dim, elementwise_affine=True, eps=1.0e-6, dtype=dtype, device=device) + elif qk_norm is None: + self.ln_q = nn.Identity() + self.ln_k = nn.Identity() + else: + raise ValueError(qk_norm) + + def pre_attention(self, x: torch.Tensor) -> torch.Tensor: + B, L, C = x.shape + qkv = self.qkv(x) + q, k, v = split_qkv(qkv, self.head_dim) + q = self.ln_q(q).reshape(q.shape[0], q.shape[1], -1) + k = self.ln_k(k).reshape(q.shape[0], q.shape[1], -1) + return (q, k, v) + + def post_attention(self, x: torch.Tensor) -> torch.Tensor: + assert not self.pre_only + x = self.proj(x) + x = self.proj_drop(x) + return x + + def forward(self, x: torch.Tensor) -> torch.Tensor: + q, k, v = self.pre_attention(x) + x = optimized_attention( + q, k, v, heads=self.num_heads + ) + x = self.post_attention(x) + return x + + +class RMSNorm(torch.nn.Module): + def __init__( + self, dim: int, elementwise_affine: bool = False, eps: float = 1e-6, device=None, dtype=None, **kwargs + ): + """ + Initialize the RMSNorm normalization layer. + Args: + dim (int): The dimension of the input tensor. + eps (float, optional): A small value added to the denominator for numerical stability. Default is 1e-6. + Attributes: + eps (float): A small value added to the denominator for numerical stability. + weight (nn.Parameter): Learnable scaling parameter. + """ + super().__init__() + self.eps = eps + self.learnable_scale = elementwise_affine + if self.learnable_scale: + self.weight = nn.Parameter(torch.empty(dim, device=device, dtype=dtype)) + else: + self.register_parameter("weight", None) + + def forward(self, x): + return comfy.ldm.common_dit.rms_norm(x, self.weight, self.eps) + + + +class SwiGLUFeedForward(nn.Module): + def __init__( + self, + dim: int, + hidden_dim: int, + multiple_of: int, + ffn_dim_multiplier: Optional[float] = None, + ): + """ + Initialize the FeedForward module. + + Args: + dim (int): Input dimension. + hidden_dim (int): Hidden dimension of the feedforward layer. + multiple_of (int): Value to ensure hidden dimension is a multiple of this value. + ffn_dim_multiplier (float, optional): Custom multiplier for hidden dimension. Defaults to None. + + Attributes: + w1 (ColumnParallelLinear): Linear transformation for the first layer. + w2 (RowParallelLinear): Linear transformation for the second layer. + w3 (ColumnParallelLinear): Linear transformation for the third layer. + + """ + super().__init__() + hidden_dim = int(2 * hidden_dim / 3) + # custom dim factor multiplier + if ffn_dim_multiplier is not None: + hidden_dim = int(ffn_dim_multiplier * hidden_dim) + hidden_dim = multiple_of * ((hidden_dim + multiple_of - 1) // multiple_of) + + self.w1 = nn.Linear(dim, hidden_dim, bias=False) + self.w2 = nn.Linear(hidden_dim, dim, bias=False) + self.w3 = nn.Linear(dim, hidden_dim, bias=False) + + def forward(self, x): + return self.w2(nn.functional.silu(self.w1(x)) * self.w3(x)) + + +class DismantledBlock(nn.Module): + """ + A DiT block with gated adaptive layer norm (adaLN) conditioning. + """ + + ATTENTION_MODES = ("xformers", "torch", "torch-hb", "math", "debug") + + def __init__( + self, + hidden_size: int, + num_heads: int, + mlp_ratio: float = 4.0, + attn_mode: str = "xformers", + qkv_bias: bool = False, + pre_only: bool = False, + rmsnorm: bool = False, + scale_mod_only: bool = False, + swiglu: bool = False, + qk_norm: Optional[str] = None, + x_block_self_attn: bool = False, + dtype=None, + device=None, + operations=None, + **block_kwargs, + ): + super().__init__() + assert attn_mode in self.ATTENTION_MODES + if not rmsnorm: + self.norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + else: + self.norm1 = RMSNorm(hidden_size, elementwise_affine=False, eps=1e-6) + self.attn = SelfAttention( + dim=hidden_size, + num_heads=num_heads, + qkv_bias=qkv_bias, + attn_mode=attn_mode, + pre_only=pre_only, + qk_norm=qk_norm, + rmsnorm=rmsnorm, + dtype=dtype, + device=device, + operations=operations + ) + if x_block_self_attn: + assert not pre_only + assert not scale_mod_only + self.x_block_self_attn = True + self.attn2 = SelfAttention( + dim=hidden_size, + num_heads=num_heads, + qkv_bias=qkv_bias, + attn_mode=attn_mode, + pre_only=False, + qk_norm=qk_norm, + rmsnorm=rmsnorm, + dtype=dtype, + device=device, + operations=operations + ) + else: + self.x_block_self_attn = False + if not pre_only: + if not rmsnorm: + self.norm2 = operations.LayerNorm( + hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device + ) + else: + self.norm2 = RMSNorm(hidden_size, elementwise_affine=False, eps=1e-6) + mlp_hidden_dim = int(hidden_size * mlp_ratio) + if not pre_only: + if not swiglu: + self.mlp = Mlp( + in_features=hidden_size, + hidden_features=mlp_hidden_dim, + act_layer=lambda: nn.GELU(approximate="tanh"), + drop=0, + dtype=dtype, + device=device, + operations=operations + ) + else: + self.mlp = SwiGLUFeedForward( + dim=hidden_size, + hidden_dim=mlp_hidden_dim, + multiple_of=256, + ) + self.scale_mod_only = scale_mod_only + if x_block_self_attn: + assert not pre_only + assert not scale_mod_only + n_mods = 9 + elif not scale_mod_only: + n_mods = 6 if not pre_only else 2 + else: + n_mods = 4 if not pre_only else 1 + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), operations.Linear(hidden_size, n_mods * hidden_size, bias=True, dtype=dtype, device=device) + ) + self.pre_only = pre_only + + def pre_attention(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor: + if not self.pre_only: + if not self.scale_mod_only: + ( + shift_msa, + scale_msa, + gate_msa, + shift_mlp, + scale_mlp, + gate_mlp, + ) = self.adaLN_modulation(c).chunk(6, dim=1) + else: + shift_msa = None + shift_mlp = None + ( + scale_msa, + gate_msa, + scale_mlp, + gate_mlp, + ) = self.adaLN_modulation( + c + ).chunk(4, dim=1) + qkv = self.attn.pre_attention(modulate(self.norm1(x), shift_msa, scale_msa)) + return qkv, ( + x, + gate_msa, + shift_mlp, + scale_mlp, + gate_mlp, + ) + else: + if not self.scale_mod_only: + ( + shift_msa, + scale_msa, + ) = self.adaLN_modulation( + c + ).chunk(2, dim=1) + else: + shift_msa = None + scale_msa = self.adaLN_modulation(c) + qkv = self.attn.pre_attention(modulate(self.norm1(x), shift_msa, scale_msa)) + return qkv, None + + def post_attention(self, attn, x, gate_msa, shift_mlp, scale_mlp, gate_mlp): + assert not self.pre_only + x = x + gate_msa.unsqueeze(1) * self.attn.post_attention(attn) + x = x + gate_mlp.unsqueeze(1) * self.mlp( + modulate(self.norm2(x), shift_mlp, scale_mlp) + ) + return x + + def pre_attention_x(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor: + assert self.x_block_self_attn + ( + shift_msa, + scale_msa, + gate_msa, + shift_mlp, + scale_mlp, + gate_mlp, + shift_msa2, + scale_msa2, + gate_msa2, + ) = self.adaLN_modulation(c).chunk(9, dim=1) + x_norm = self.norm1(x) + qkv = self.attn.pre_attention(modulate(x_norm, shift_msa, scale_msa)) + qkv2 = self.attn2.pre_attention(modulate(x_norm, shift_msa2, scale_msa2)) + return qkv, qkv2, ( + x, + gate_msa, + shift_mlp, + scale_mlp, + gate_mlp, + gate_msa2, + ) + + def post_attention_x(self, attn, attn2, x, gate_msa, shift_mlp, scale_mlp, gate_mlp, gate_msa2): + assert not self.pre_only + attn1 = self.attn.post_attention(attn) + attn2 = self.attn2.post_attention(attn2) + x = gate_cat(x, gate_msa, gate_msa2, attn1, attn2) + x = x + gate_mlp.unsqueeze(1) * self.mlp( + modulate(self.norm2(x), shift_mlp, scale_mlp) + ) + return x + + def forward(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor: + assert not self.pre_only + if self.x_block_self_attn: + qkv, qkv2, intermediates = self.pre_attention_x(x, c) + attn, _ = optimized_attention( + qkv[0], qkv[1], qkv[2], + num_heads=self.attn.num_heads, + ) + attn2, _ = optimized_attention( + qkv2[0], qkv2[1], qkv2[2], + num_heads=self.attn2.num_heads, + ) + return self.post_attention_x(attn, attn2, *intermediates) + else: + qkv, intermediates = self.pre_attention(x, c) + attn = optimized_attention( + qkv[0], qkv[1], qkv[2], + heads=self.attn.num_heads, + ) + return self.post_attention(attn, *intermediates) + +def gate_cat(x, gate_msa, gate_msa2, attn1, attn2): + out1 = gate_msa.unsqueeze(1) * attn1 + out2 = gate_msa2.unsqueeze(1) * attn2 + x = torch.stack([x, out1, out2], dim=0).sum(dim=0) + return x + +def block_mixing(*args, use_checkpoint=True, **kwargs): + if use_checkpoint: + return torch.utils.checkpoint.checkpoint( + _block_mixing, *args, use_reentrant=False, **kwargs + ) + else: + return _block_mixing(*args, **kwargs) + + +def _block_mixing(context, x, context_block, x_block, c, transformer_options={}): + context_qkv, context_intermediates = context_block.pre_attention(context, c) + + if x_block.x_block_self_attn: + x_qkv, x_qkv2, x_intermediates = x_block.pre_attention_x(x, c) + else: + x_qkv, x_intermediates = x_block.pre_attention(x, c) + + o = [] + for t in range(3): + o.append(torch.cat((context_qkv[t], x_qkv[t]), dim=1)) + qkv = tuple(o) + + attn = optimized_attention( + qkv[0], qkv[1], qkv[2], + heads=x_block.attn.num_heads, + transformer_options=transformer_options, + ) + context_attn, x_attn = ( + attn[:, : context_qkv[0].shape[1]], + attn[:, context_qkv[0].shape[1] :], + ) + + if not context_block.pre_only: + context = context_block.post_attention(context_attn, *context_intermediates) + + else: + context = None + if x_block.x_block_self_attn: + attn2 = optimized_attention( + x_qkv2[0], x_qkv2[1], x_qkv2[2], + heads=x_block.attn2.num_heads, + transformer_options=transformer_options, + ) + x = x_block.post_attention_x(x_attn, attn2, *x_intermediates) + else: + x = x_block.post_attention(x_attn, *x_intermediates) + return context, x + + +class JointBlock(nn.Module): + """just a small wrapper to serve as a fsdp unit""" + + def __init__( + self, + *args, + **kwargs, + ): + super().__init__() + pre_only = kwargs.pop("pre_only") + qk_norm = kwargs.pop("qk_norm", None) + x_block_self_attn = kwargs.pop("x_block_self_attn", False) + self.context_block = DismantledBlock(*args, pre_only=pre_only, qk_norm=qk_norm, **kwargs) + self.x_block = DismantledBlock(*args, + pre_only=False, + qk_norm=qk_norm, + x_block_self_attn=x_block_self_attn, + **kwargs) + + def forward(self, *args, **kwargs): + return block_mixing( + *args, context_block=self.context_block, x_block=self.x_block, **kwargs + ) + + +class FinalLayer(nn.Module): + """ + The final layer of DiT. + """ + + def __init__( + self, + hidden_size: int, + patch_size: int, + out_channels: int, + total_out_channels: Optional[int] = None, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = ( + operations.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device) + if (total_out_channels is None) + else operations.Linear(hidden_size, total_out_channels, bias=True, dtype=dtype, device=device) + ) + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device) + ) + + def forward(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor: + shift, scale = self.adaLN_modulation(c).chunk(2, dim=1) + x = modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + return x + +class SelfAttentionContext(nn.Module): + def __init__(self, dim, heads=8, dim_head=64, dtype=None, device=None, operations=None): + super().__init__() + dim_head = dim // heads + inner_dim = dim + + self.heads = heads + self.dim_head = dim_head + + self.qkv = operations.Linear(dim, dim * 3, bias=True, dtype=dtype, device=device) + + self.proj = operations.Linear(inner_dim, dim, dtype=dtype, device=device) + + def forward(self, x): + qkv = self.qkv(x) + q, k, v = split_qkv(qkv, self.dim_head) + x = optimized_attention(q.reshape(q.shape[0], q.shape[1], -1), k, v, heads=self.heads) + return self.proj(x) + +class ContextProcessorBlock(nn.Module): + def __init__(self, context_size, dtype=None, device=None, operations=None): + super().__init__() + self.norm1 = operations.LayerNorm(context_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.attn = SelfAttentionContext(context_size, dtype=dtype, device=device, operations=operations) + self.norm2 = operations.LayerNorm(context_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.mlp = Mlp(in_features=context_size, hidden_features=(context_size * 4), act_layer=lambda: nn.GELU(approximate="tanh"), drop=0, dtype=dtype, device=device, operations=operations) + + def forward(self, x): + x += self.attn(self.norm1(x)) + x += self.mlp(self.norm2(x)) + return x + +class ContextProcessor(nn.Module): + def __init__(self, context_size, num_layers, dtype=None, device=None, operations=None): + super().__init__() + self.layers = torch.nn.ModuleList([ContextProcessorBlock(context_size, dtype=dtype, device=device, operations=operations) for i in range(num_layers)]) + self.norm = operations.LayerNorm(context_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + + def forward(self, x): + for i, l in enumerate(self.layers): + x = l(x) + return self.norm(x) + +class MMDiT(nn.Module): + """ + Diffusion model with a Transformer backbone. + """ + + def __init__( + self, + input_size: int = 32, + patch_size: int = 2, + in_channels: int = 4, + depth: int = 28, + # hidden_size: Optional[int] = None, + # num_heads: Optional[int] = None, + mlp_ratio: float = 4.0, + learn_sigma: bool = False, + adm_in_channels: Optional[int] = None, + context_embedder_config: Optional[Dict] = None, + compile_core: bool = False, + use_checkpoint: bool = False, + register_length: int = 0, + attn_mode: str = "torch", + rmsnorm: bool = False, + scale_mod_only: bool = False, + swiglu: bool = False, + out_channels: Optional[int] = None, + pos_embed_scaling_factor: Optional[float] = None, + pos_embed_offset: Optional[float] = None, + pos_embed_max_size: Optional[int] = None, + num_patches = None, + qk_norm: Optional[str] = None, + qkv_bias: bool = True, + context_processor_layers = None, + x_block_self_attn: bool = False, + x_block_self_attn_layers: Optional[List[int]] = [], + context_size = 4096, + num_blocks = None, + final_layer = True, + skip_blocks = False, + dtype = None, #TODO + device = None, + operations = None, + ): + super().__init__() + self.dtype = dtype + self.learn_sigma = learn_sigma + self.in_channels = in_channels + default_out_channels = in_channels * 2 if learn_sigma else in_channels + self.out_channels = default(out_channels, default_out_channels) + self.patch_size = patch_size + self.pos_embed_scaling_factor = pos_embed_scaling_factor + self.pos_embed_offset = pos_embed_offset + self.pos_embed_max_size = pos_embed_max_size + self.x_block_self_attn_layers = x_block_self_attn_layers + + # hidden_size = default(hidden_size, 64 * depth) + # num_heads = default(num_heads, hidden_size // 64) + + # apply magic --> this defines a head_size of 64 + self.hidden_size = 64 * depth + num_heads = depth + if num_blocks is None: + num_blocks = depth + + self.depth = depth + self.num_heads = num_heads + + self.x_embedder = PatchEmbed( + input_size, + patch_size, + in_channels, + self.hidden_size, + bias=True, + strict_img_size=self.pos_embed_max_size is None, + dtype=dtype, + device=device, + operations=operations + ) + self.t_embedder = TimestepEmbedder(self.hidden_size, dtype=dtype, device=device, operations=operations) + + self.y_embedder = None + if adm_in_channels is not None: + assert isinstance(adm_in_channels, int) + self.y_embedder = VectorEmbedder(adm_in_channels, self.hidden_size, dtype=dtype, device=device, operations=operations) + + if context_processor_layers is not None: + self.context_processor = ContextProcessor(context_size, context_processor_layers, dtype=dtype, device=device, operations=operations) + else: + self.context_processor = None + + self.context_embedder = nn.Identity() + if context_embedder_config is not None: + if context_embedder_config["target"] == "torch.nn.Linear": + self.context_embedder = operations.Linear(**context_embedder_config["params"], dtype=dtype, device=device) + + self.register_length = register_length + if self.register_length > 0: + self.register = nn.Parameter(torch.randn(1, register_length, self.hidden_size, dtype=dtype, device=device)) + + # num_patches = self.x_embedder.num_patches + # Will use fixed sin-cos embedding: + # just use a buffer already + if num_patches is not None: + self.register_buffer( + "pos_embed", + torch.empty(1, num_patches, self.hidden_size, dtype=dtype, device=device), + ) + else: + self.pos_embed = None + + self.use_checkpoint = use_checkpoint + if not skip_blocks: + self.joint_blocks = nn.ModuleList( + [ + JointBlock( + self.hidden_size, + num_heads, + mlp_ratio=mlp_ratio, + qkv_bias=qkv_bias, + attn_mode=attn_mode, + pre_only=(i == num_blocks - 1) and final_layer, + rmsnorm=rmsnorm, + scale_mod_only=scale_mod_only, + swiglu=swiglu, + qk_norm=qk_norm, + x_block_self_attn=(i in self.x_block_self_attn_layers) or x_block_self_attn, + dtype=dtype, + device=device, + operations=operations, + ) + for i in range(num_blocks) + ] + ) + + if final_layer: + self.final_layer = FinalLayer(self.hidden_size, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations) + + if compile_core: + assert False + self.forward_core_with_concat = torch.compile(self.forward_core_with_concat) + + def cropped_pos_embed(self, hw, device=None): + p = self.x_embedder.patch_size[0] + h, w = hw + # patched size + h = (h + 1) // p + w = (w + 1) // p + if self.pos_embed is None: + return get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, device=device) + assert self.pos_embed_max_size is not None + assert h <= self.pos_embed_max_size, (h, self.pos_embed_max_size) + assert w <= self.pos_embed_max_size, (w, self.pos_embed_max_size) + top = (self.pos_embed_max_size - h) // 2 + left = (self.pos_embed_max_size - w) // 2 + spatial_pos_embed = rearrange( + self.pos_embed, + "1 (h w) c -> 1 h w c", + h=self.pos_embed_max_size, + w=self.pos_embed_max_size, + ) + spatial_pos_embed = spatial_pos_embed[:, top : top + h, left : left + w, :] + spatial_pos_embed = rearrange(spatial_pos_embed, "1 h w c -> 1 (h w) c") + # print(spatial_pos_embed, top, left, h, w) + # # t = get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, 7.875, 7.875, device=device) #matches exactly for 1024 res + # t = get_2d_sincos_pos_embed_torch(self.hidden_size, w, h, 7.5, 7.5, device=device) #scales better + # # print(t) + # return t + return spatial_pos_embed + + def unpatchify(self, x, hw=None): + """ + x: (N, T, patch_size**2 * C) + imgs: (N, H, W, C) + """ + c = self.out_channels + p = self.x_embedder.patch_size[0] + if hw is None: + h = w = int(x.shape[1] ** 0.5) + else: + h, w = hw + h = (h + 1) // p + w = (w + 1) // p + assert h * w == x.shape[1] + + x = x.reshape(shape=(x.shape[0], h, w, p, p, c)) + x = torch.einsum("nhwpqc->nchpwq", x) + imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p)) + return imgs + + def forward_core_with_concat( + self, + x: torch.Tensor, + c_mod: torch.Tensor, + context: Optional[torch.Tensor] = None, + control = None, + transformer_options = {}, + ) -> torch.Tensor: + patches_replace = transformer_options.get("patches_replace", {}) + if self.register_length > 0: + context = torch.cat( + ( + repeat(self.register, "1 ... -> b ...", b=x.shape[0]), + default(context, torch.Tensor([]).type_as(x)), + ), + 1, + ) + + # context is B, L', D + # x is B, L, D + blocks_replace = patches_replace.get("dit", {}) + blocks = len(self.joint_blocks) + for i in range(blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["txt"], out["img"] = self.joint_blocks[i](args["txt"], args["img"], c=args["vec"], transformer_options=args["transformer_options"]) + return out + + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": c_mod, "transformer_options": transformer_options}, {"original_block": block_wrap}) + context = out["txt"] + x = out["img"] + else: + context, x = self.joint_blocks[i]( + context, + x, + c=c_mod, + use_checkpoint=self.use_checkpoint, + transformer_options=transformer_options, + ) + if control is not None: + control_o = control.get("output") + if i < len(control_o): + add = control_o[i] + if add is not None: + x += add + + x = self.final_layer(x, c_mod) # (N, T, patch_size ** 2 * out_channels) + return x + + def forward( + self, + x: torch.Tensor, + t: torch.Tensor, + y: Optional[torch.Tensor] = None, + context: Optional[torch.Tensor] = None, + control = None, + transformer_options = {}, + ) -> torch.Tensor: + """ + Forward pass of DiT. + x: (N, C, H, W) tensor of spatial inputs (images or latent representations of images) + t: (N,) tensor of diffusion timesteps + y: (N,) tensor of class labels + """ + + if self.context_processor is not None: + context = self.context_processor(context) + + hw = x.shape[-2:] + x = self.x_embedder(x) + comfy.ops.cast_to_input(self.cropped_pos_embed(hw, device=x.device), x) + c = self.t_embedder(t, dtype=x.dtype) # (N, D) + if y is not None and self.y_embedder is not None: + y = self.y_embedder(y) # (N, D) + c = c + y # (N, D) + + if context is not None: + context = self.context_embedder(context) + + x = self.forward_core_with_concat(x, c, context, control, transformer_options) + + x = self.unpatchify(x, hw=hw) # (N, out_channels, H, W) + return x[:,:,:hw[-2],:hw[-1]] + + +class OpenAISignatureMMDITWrapper(MMDiT): + def forward( + self, + x: torch.Tensor, + timesteps: torch.Tensor, + context: Optional[torch.Tensor] = None, + y: Optional[torch.Tensor] = None, + control = None, + transformer_options = {}, + **kwargs, + ) -> torch.Tensor: + return super().forward(x, timesteps, context=context, y=y, control=control, transformer_options=transformer_options) + diff --git a/comfy/ldm/modules/diffusionmodules/model.py b/comfy/ldm/modules/diffusionmodules/model.py new file mode 100644 index 0000000000000000000000000000000000000000..4245eedca723c6d1bf31ccc91ff92f8be6b55ff7 --- /dev/null +++ b/comfy/ldm/modules/diffusionmodules/model.py @@ -0,0 +1,734 @@ +# pytorch_diffusion + derived encoder decoder +import math +import torch +import torch.nn as nn +import numpy as np +import logging + +from comfy import model_management +import comfy.ops +ops = comfy.ops.disable_weight_init + +if model_management.xformers_enabled_vae(): + import xformers + import xformers.ops + +def get_timestep_embedding(timesteps, embedding_dim): + """ + This matches the implementation in Denoising Diffusion Probabilistic Models: + From Fairseq. + Build sinusoidal embeddings. + This matches the implementation in tensor2tensor, but differs slightly + from the description in Section 3.5 of "Attention Is All You Need". + """ + assert len(timesteps.shape) == 1 + + half_dim = embedding_dim // 2 + emb = math.log(10000) / (half_dim - 1) + emb = torch.exp(torch.arange(half_dim, dtype=torch.float32) * -emb) + emb = emb.to(device=timesteps.device) + emb = timesteps.float()[:, None] * emb[None, :] + emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=1) + if embedding_dim % 2 == 1: # zero pad + emb = torch.nn.functional.pad(emb, (0,1,0,0)) + return emb + + +def nonlinearity(x): + # swish + return torch.nn.functional.silu(x) + + +def Normalize(in_channels, num_groups=32): + return ops.GroupNorm(num_groups=num_groups, num_channels=in_channels, eps=1e-6, affine=True) + + +class VideoConv3d(nn.Module): + def __init__(self, n_channels, out_channels, kernel_size, stride=1, dilation=1, padding_mode='replicate', padding=1, **kwargs): + super().__init__() + + self.padding_mode = padding_mode + if padding != 0: + padding = (padding, padding, padding, padding, kernel_size - 1, 0) + else: + kwargs["padding"] = padding + + self.padding = padding + self.conv = ops.Conv3d(n_channels, out_channels, kernel_size, stride=stride, dilation=dilation, **kwargs) + + def forward(self, x): + if self.padding != 0: + x = torch.nn.functional.pad(x, self.padding, mode=self.padding_mode) + return self.conv(x) + +def interpolate_up(x, scale_factor): + try: + return torch.nn.functional.interpolate(x, scale_factor=scale_factor, mode="nearest") + except: #operation not implemented for bf16 + orig_shape = list(x.shape) + out_shape = orig_shape[:2] + for i in range(len(orig_shape) - 2): + out_shape.append(round(orig_shape[i + 2] * scale_factor[i])) + out = torch.empty(out_shape, dtype=x.dtype, layout=x.layout, device=x.device) + split = 8 + l = out.shape[1] // split + for i in range(0, out.shape[1], l): + out[:,i:i+l] = torch.nn.functional.interpolate(x[:,i:i+l].to(torch.float32), scale_factor=scale_factor, mode="nearest").to(x.dtype) + return out + +class Upsample(nn.Module): + def __init__(self, in_channels, with_conv, conv_op=ops.Conv2d, scale_factor=2.0): + super().__init__() + self.with_conv = with_conv + self.scale_factor = scale_factor + + if self.with_conv: + self.conv = conv_op(in_channels, + in_channels, + kernel_size=3, + stride=1, + padding=1) + + def forward(self, x): + scale_factor = self.scale_factor + if isinstance(scale_factor, (int, float)): + scale_factor = (scale_factor,) * (x.ndim - 2) + + if x.ndim == 5 and scale_factor[0] > 1.0: + t = x.shape[2] + if t > 1: + a, b = x.split((1, t - 1), dim=2) + del x + b = interpolate_up(b, scale_factor) + else: + a = x + + a = interpolate_up(a.squeeze(2), scale_factor=scale_factor[1:]).unsqueeze(2) + if t > 1: + x = torch.cat((a, b), dim=2) + else: + x = a + else: + x = interpolate_up(x, scale_factor) + if self.with_conv: + x = self.conv(x) + return x + + +class Downsample(nn.Module): + def __init__(self, in_channels, with_conv, stride=2, conv_op=ops.Conv2d): + super().__init__() + self.with_conv = with_conv + if self.with_conv: + # no asymmetric padding in torch conv, must do it ourselves + self.conv = conv_op(in_channels, + in_channels, + kernel_size=3, + stride=stride, + padding=0) + + def forward(self, x): + if self.with_conv: + if x.ndim == 4: + pad = (0, 1, 0, 1) + mode = "constant" + x = torch.nn.functional.pad(x, pad, mode=mode, value=0) + elif x.ndim == 5: + pad = (1, 1, 1, 1, 2, 0) + mode = "replicate" + x = torch.nn.functional.pad(x, pad, mode=mode) + x = self.conv(x) + else: + x = torch.nn.functional.avg_pool2d(x, kernel_size=2, stride=2) + return x + + +class ResnetBlock(nn.Module): + def __init__(self, *, in_channels, out_channels=None, conv_shortcut=False, + dropout=0.0, temb_channels=512, conv_op=ops.Conv2d, norm_op=Normalize): + super().__init__() + self.in_channels = in_channels + out_channels = in_channels if out_channels is None else out_channels + self.out_channels = out_channels + self.use_conv_shortcut = conv_shortcut + + self.swish = torch.nn.SiLU(inplace=True) + self.norm1 = norm_op(in_channels) + self.conv1 = conv_op(in_channels, + out_channels, + kernel_size=3, + stride=1, + padding=1) + if temb_channels > 0: + self.temb_proj = ops.Linear(temb_channels, + out_channels) + self.norm2 = norm_op(out_channels) + self.dropout = torch.nn.Dropout(dropout, inplace=True) + self.conv2 = conv_op(out_channels, + out_channels, + kernel_size=3, + stride=1, + padding=1) + if self.in_channels != self.out_channels: + if self.use_conv_shortcut: + self.conv_shortcut = conv_op(in_channels, + out_channels, + kernel_size=3, + stride=1, + padding=1) + else: + self.nin_shortcut = conv_op(in_channels, + out_channels, + kernel_size=1, + stride=1, + padding=0) + + def forward(self, x, temb=None): + h = x + h = self.norm1(h) + h = self.swish(h) + h = self.conv1(h) + + if temb is not None: + h = h + self.temb_proj(self.swish(temb))[:,:,None,None] + + h = self.norm2(h) + h = self.swish(h) + h = self.dropout(h) + h = self.conv2(h) + + if self.in_channels != self.out_channels: + if self.use_conv_shortcut: + x = self.conv_shortcut(x) + else: + x = self.nin_shortcut(x) + + return x+h + +def slice_attention(q, k, v): + r1 = torch.zeros_like(k, device=q.device) + scale = (int(q.shape[-1])**(-0.5)) + + mem_free_total = model_management.get_free_memory(q.device) + + tensor_size = q.shape[0] * q.shape[1] * k.shape[2] * q.element_size() + modifier = 3 if q.element_size() == 2 else 2.5 + mem_required = tensor_size * modifier + steps = 1 + + if mem_required > mem_free_total: + steps = 2**(math.ceil(math.log(mem_required / mem_free_total, 2))) + + while True: + try: + slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1] + for i in range(0, q.shape[1], slice_size): + end = i + slice_size + s1 = torch.bmm(q[:, i:end], k) * scale + + s2 = torch.nn.functional.softmax(s1, dim=2).permute(0,2,1) + del s1 + + r1[:, :, i:end] = torch.bmm(v, s2) + del s2 + break + except model_management.OOM_EXCEPTION as e: + model_management.soft_empty_cache(True) + steps *= 2 + if steps > 128: + raise e + logging.warning("out of memory error, increasing steps and trying again {}".format(steps)) + + return r1 + +def normal_attention(q, k, v): + # compute attention + orig_shape = q.shape + b = orig_shape[0] + c = orig_shape[1] + + q = q.reshape(b, c, -1) + q = q.permute(0, 2, 1) # b,hw,c + k = k.reshape(b, c, -1) # b,c,hw + v = v.reshape(b, c, -1) + + r1 = slice_attention(q, k, v) + h_ = r1.reshape(orig_shape) + del r1 + return h_ + +def xformers_attention(q, k, v): + # compute attention + orig_shape = q.shape + B = orig_shape[0] + C = orig_shape[1] + q, k, v = map( + lambda t: t.view(B, C, -1).transpose(1, 2).contiguous(), + (q, k, v), + ) + + try: + out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None) + out = out.transpose(1, 2).reshape(orig_shape) + except NotImplementedError: + out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(orig_shape) + return out + +def pytorch_attention(q, k, v): + # compute attention + orig_shape = q.shape + B = orig_shape[0] + C = orig_shape[1] + q, k, v = map( + lambda t: t.view(B, 1, C, -1).transpose(2, 3).contiguous(), + (q, k, v), + ) + + try: + out = comfy.ops.scaled_dot_product_attention(q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False) + out = out.transpose(2, 3).reshape(orig_shape) + except model_management.OOM_EXCEPTION: + logging.warning("scaled_dot_product_attention OOMed: switched to slice attention") + out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(orig_shape) + return out + + +def vae_attention(): + if model_management.xformers_enabled_vae(): + logging.info("Using xformers attention in VAE") + return xformers_attention + elif model_management.pytorch_attention_enabled_vae(): + logging.info("Using pytorch attention in VAE") + return pytorch_attention + else: + logging.info("Using split attention in VAE") + return normal_attention + +class AttnBlock(nn.Module): + def __init__(self, in_channels, conv_op=ops.Conv2d, norm_op=Normalize): + super().__init__() + self.in_channels = in_channels + + self.norm = norm_op(in_channels) + self.q = conv_op(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + self.k = conv_op(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + self.v = conv_op(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + self.proj_out = conv_op(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + + self.optimized_attention = vae_attention() + + def forward(self, x): + h_ = x + h_ = self.norm(h_) + q = self.q(h_) + k = self.k(h_) + v = self.v(h_) + + h_ = self.optimized_attention(q, k, v) + + h_ = self.proj_out(h_) + + return x+h_ + + +def make_attn(in_channels, attn_type="vanilla", attn_kwargs=None, conv_op=ops.Conv2d): + return AttnBlock(in_channels, conv_op=conv_op) + + +class Model(nn.Module): + def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, + attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels, + resolution, use_timestep=True, use_linear_attn=False, attn_type="vanilla"): + super().__init__() + if use_linear_attn: attn_type = "linear" + self.ch = ch + self.temb_ch = self.ch*4 + self.num_resolutions = len(ch_mult) + self.num_res_blocks = num_res_blocks + self.resolution = resolution + self.in_channels = in_channels + + self.use_timestep = use_timestep + if self.use_timestep: + # timestep embedding + self.temb = nn.Module() + self.temb.dense = nn.ModuleList([ + ops.Linear(self.ch, + self.temb_ch), + ops.Linear(self.temb_ch, + self.temb_ch), + ]) + + # downsampling + self.conv_in = ops.Conv2d(in_channels, + self.ch, + kernel_size=3, + stride=1, + padding=1) + + curr_res = resolution + in_ch_mult = (1,)+tuple(ch_mult) + self.down = nn.ModuleList() + for i_level in range(self.num_resolutions): + block = nn.ModuleList() + attn = nn.ModuleList() + block_in = ch*in_ch_mult[i_level] + block_out = ch*ch_mult[i_level] + for i_block in range(self.num_res_blocks): + block.append(ResnetBlock(in_channels=block_in, + out_channels=block_out, + temb_channels=self.temb_ch, + dropout=dropout)) + block_in = block_out + if curr_res in attn_resolutions: + attn.append(make_attn(block_in, attn_type=attn_type)) + down = nn.Module() + down.block = block + down.attn = attn + if i_level != self.num_resolutions-1: + down.downsample = Downsample(block_in, resamp_with_conv) + curr_res = curr_res // 2 + self.down.append(down) + + # middle + self.mid = nn.Module() + self.mid.block_1 = ResnetBlock(in_channels=block_in, + out_channels=block_in, + temb_channels=self.temb_ch, + dropout=dropout) + self.mid.attn_1 = make_attn(block_in, attn_type=attn_type) + self.mid.block_2 = ResnetBlock(in_channels=block_in, + out_channels=block_in, + temb_channels=self.temb_ch, + dropout=dropout) + + # upsampling + self.up = nn.ModuleList() + for i_level in reversed(range(self.num_resolutions)): + block = nn.ModuleList() + attn = nn.ModuleList() + block_out = ch*ch_mult[i_level] + skip_in = ch*ch_mult[i_level] + for i_block in range(self.num_res_blocks+1): + if i_block == self.num_res_blocks: + skip_in = ch*in_ch_mult[i_level] + block.append(ResnetBlock(in_channels=block_in+skip_in, + out_channels=block_out, + temb_channels=self.temb_ch, + dropout=dropout)) + block_in = block_out + if curr_res in attn_resolutions: + attn.append(make_attn(block_in, attn_type=attn_type)) + up = nn.Module() + up.block = block + up.attn = attn + if i_level != 0: + up.upsample = Upsample(block_in, resamp_with_conv) + curr_res = curr_res * 2 + self.up.insert(0, up) # prepend to get consistent order + + # end + self.norm_out = Normalize(block_in) + self.conv_out = ops.Conv2d(block_in, + out_ch, + kernel_size=3, + stride=1, + padding=1) + + def forward(self, x, t=None, context=None): + #assert x.shape[2] == x.shape[3] == self.resolution + if context is not None: + # assume aligned context, cat along channel axis + x = torch.cat((x, context), dim=1) + if self.use_timestep: + # timestep embedding + assert t is not None + temb = get_timestep_embedding(t, self.ch) + temb = self.temb.dense[0](temb) + temb = nonlinearity(temb) + temb = self.temb.dense[1](temb) + else: + temb = None + + # downsampling + hs = [self.conv_in(x)] + for i_level in range(self.num_resolutions): + for i_block in range(self.num_res_blocks): + h = self.down[i_level].block[i_block](hs[-1], temb) + if len(self.down[i_level].attn) > 0: + h = self.down[i_level].attn[i_block](h) + hs.append(h) + if i_level != self.num_resolutions-1: + hs.append(self.down[i_level].downsample(hs[-1])) + + # middle + h = hs[-1] + h = self.mid.block_1(h, temb) + h = self.mid.attn_1(h) + h = self.mid.block_2(h, temb) + + # upsampling + for i_level in reversed(range(self.num_resolutions)): + for i_block in range(self.num_res_blocks+1): + h = self.up[i_level].block[i_block]( + torch.cat([h, hs.pop()], dim=1), temb) + if len(self.up[i_level].attn) > 0: + h = self.up[i_level].attn[i_block](h) + if i_level != 0: + h = self.up[i_level].upsample(h) + + # end + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h) + return h + + def get_last_layer(self): + return self.conv_out.weight + + +class Encoder(nn.Module): + def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, + attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels, + resolution, z_channels, double_z=True, use_linear_attn=False, attn_type="vanilla", + conv3d=False, time_compress=None, + **ignore_kwargs): + super().__init__() + if use_linear_attn: attn_type = "linear" + self.ch = ch + self.temb_ch = 0 + self.num_resolutions = len(ch_mult) + self.num_res_blocks = num_res_blocks + self.resolution = resolution + self.in_channels = in_channels + + if conv3d: + conv_op = VideoConv3d + mid_attn_conv_op = ops.Conv3d + else: + conv_op = ops.Conv2d + mid_attn_conv_op = ops.Conv2d + + # downsampling + self.conv_in = conv_op(in_channels, + self.ch, + kernel_size=3, + stride=1, + padding=1) + + curr_res = resolution + in_ch_mult = (1,)+tuple(ch_mult) + self.in_ch_mult = in_ch_mult + self.down = nn.ModuleList() + for i_level in range(self.num_resolutions): + block = nn.ModuleList() + attn = nn.ModuleList() + block_in = ch*in_ch_mult[i_level] + block_out = ch*ch_mult[i_level] + for i_block in range(self.num_res_blocks): + block.append(ResnetBlock(in_channels=block_in, + out_channels=block_out, + temb_channels=self.temb_ch, + dropout=dropout, + conv_op=conv_op)) + block_in = block_out + if curr_res in attn_resolutions: + attn.append(make_attn(block_in, attn_type=attn_type, conv_op=conv_op)) + down = nn.Module() + down.block = block + down.attn = attn + if i_level != self.num_resolutions-1: + stride = 2 + if time_compress is not None: + if (self.num_resolutions - 1 - i_level) > math.log2(time_compress): + stride = (1, 2, 2) + down.downsample = Downsample(block_in, resamp_with_conv, stride=stride, conv_op=conv_op) + curr_res = curr_res // 2 + self.down.append(down) + + # middle + self.mid = nn.Module() + self.mid.block_1 = ResnetBlock(in_channels=block_in, + out_channels=block_in, + temb_channels=self.temb_ch, + dropout=dropout, + conv_op=conv_op) + self.mid.attn_1 = make_attn(block_in, attn_type=attn_type, conv_op=mid_attn_conv_op) + self.mid.block_2 = ResnetBlock(in_channels=block_in, + out_channels=block_in, + temb_channels=self.temb_ch, + dropout=dropout, + conv_op=conv_op) + + # end + self.norm_out = Normalize(block_in) + self.conv_out = conv_op(block_in, + 2*z_channels if double_z else z_channels, + kernel_size=3, + stride=1, + padding=1) + + def forward(self, x): + # timestep embedding + temb = None + # downsampling + h = self.conv_in(x) + for i_level in range(self.num_resolutions): + for i_block in range(self.num_res_blocks): + h = self.down[i_level].block[i_block](h, temb) + if len(self.down[i_level].attn) > 0: + h = self.down[i_level].attn[i_block](h) + if i_level != self.num_resolutions-1: + h = self.down[i_level].downsample(h) + + # middle + h = self.mid.block_1(h, temb) + h = self.mid.attn_1(h) + h = self.mid.block_2(h, temb) + + # end + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h) + return h + + +class Decoder(nn.Module): + def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, + attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels, + resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False, + conv_out_op=ops.Conv2d, + resnet_op=ResnetBlock, + attn_op=AttnBlock, + conv3d=False, + time_compress=None, + **ignorekwargs): + super().__init__() + self.ch = ch + self.temb_ch = 0 + self.num_resolutions = len(ch_mult) + self.num_res_blocks = num_res_blocks + self.resolution = resolution + self.in_channels = in_channels + self.give_pre_end = give_pre_end + self.tanh_out = tanh_out + + if conv3d: + conv_op = VideoConv3d + conv_out_op = VideoConv3d + mid_attn_conv_op = ops.Conv3d + else: + conv_op = ops.Conv2d + mid_attn_conv_op = ops.Conv2d + + # compute block_in and curr_res at lowest res + block_in = ch*ch_mult[self.num_resolutions-1] + curr_res = resolution // 2**(self.num_resolutions-1) + self.z_shape = (1,z_channels,curr_res,curr_res) + logging.debug("Working with z of shape {} = {} dimensions.".format( + self.z_shape, np.prod(self.z_shape))) + + # z to block_in + self.conv_in = conv_op(z_channels, + block_in, + kernel_size=3, + stride=1, + padding=1) + + # middle + self.mid = nn.Module() + self.mid.block_1 = resnet_op(in_channels=block_in, + out_channels=block_in, + temb_channels=self.temb_ch, + dropout=dropout, + conv_op=conv_op) + self.mid.attn_1 = attn_op(block_in, conv_op=mid_attn_conv_op) + self.mid.block_2 = resnet_op(in_channels=block_in, + out_channels=block_in, + temb_channels=self.temb_ch, + dropout=dropout, + conv_op=conv_op) + + # upsampling + self.up = nn.ModuleList() + for i_level in reversed(range(self.num_resolutions)): + block = nn.ModuleList() + attn = nn.ModuleList() + block_out = ch*ch_mult[i_level] + for i_block in range(self.num_res_blocks+1): + block.append(resnet_op(in_channels=block_in, + out_channels=block_out, + temb_channels=self.temb_ch, + dropout=dropout, + conv_op=conv_op)) + block_in = block_out + if curr_res in attn_resolutions: + attn.append(attn_op(block_in, conv_op=conv_op)) + up = nn.Module() + up.block = block + up.attn = attn + if i_level != 0: + scale_factor = 2.0 + if time_compress is not None: + if i_level > math.log2(time_compress): + scale_factor = (1.0, 2.0, 2.0) + + up.upsample = Upsample(block_in, resamp_with_conv, conv_op=conv_op, scale_factor=scale_factor) + curr_res = curr_res * 2 + self.up.insert(0, up) # prepend to get consistent order + + # end + self.norm_out = Normalize(block_in) + self.conv_out = conv_out_op(block_in, + out_ch, + kernel_size=3, + stride=1, + padding=1) + + def forward(self, z, **kwargs): + # timestep embedding + temb = None + + # z to block_in + h = self.conv_in(z) + + # middle + h = self.mid.block_1(h, temb, **kwargs) + h = self.mid.attn_1(h, **kwargs) + h = self.mid.block_2(h, temb, **kwargs) + + # upsampling + for i_level in reversed(range(self.num_resolutions)): + for i_block in range(self.num_res_blocks+1): + h = self.up[i_level].block[i_block](h, temb, **kwargs) + if len(self.up[i_level].attn) > 0: + h = self.up[i_level].attn[i_block](h, **kwargs) + if i_level != 0: + h = self.up[i_level].upsample(h) + + # end + if self.give_pre_end: + return h + + h = self.norm_out(h) + h = nonlinearity(h) + h = self.conv_out(h, **kwargs) + if self.tanh_out: + h = torch.tanh(h) + return h diff --git a/comfy/ldm/modules/diffusionmodules/openaimodel.py b/comfy/ldm/modules/diffusionmodules/openaimodel.py new file mode 100644 index 0000000000000000000000000000000000000000..4c8d53cac9c2631f6985a3c670128bb4316b11ca --- /dev/null +++ b/comfy/ldm/modules/diffusionmodules/openaimodel.py @@ -0,0 +1,913 @@ +from abc import abstractmethod + +import torch as th +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange +import logging + +from .util import ( + checkpoint, + avg_pool_nd, + timestep_embedding, + AlphaBlender, +) +from ..attention import SpatialTransformer, SpatialVideoTransformer, default +from comfy.ldm.util import exists +import comfy.patcher_extension +import comfy.ops +ops = comfy.ops.disable_weight_init + +class TimestepBlock(nn.Module): + """ + Any module where forward() takes timestep embeddings as a second argument. + """ + + @abstractmethod + def forward(self, x, emb): + """ + Apply the module to `x` given `emb` timestep embeddings. + """ + +#This is needed because accelerate makes a copy of transformer_options which breaks "transformer_index" +def forward_timestep_embed(ts, x, emb, context=None, transformer_options={}, output_shape=None, time_context=None, num_video_frames=None, image_only_indicator=None): + for layer in ts: + if isinstance(layer, VideoResBlock): + x = layer(x, emb, num_video_frames, image_only_indicator) + elif isinstance(layer, TimestepBlock): + x = layer(x, emb) + elif isinstance(layer, SpatialVideoTransformer): + x = layer(x, context, time_context, num_video_frames, image_only_indicator, transformer_options) + if "transformer_index" in transformer_options: + transformer_options["transformer_index"] += 1 + elif isinstance(layer, SpatialTransformer): + x = layer(x, context, transformer_options) + if "transformer_index" in transformer_options: + transformer_options["transformer_index"] += 1 + elif isinstance(layer, Upsample): + x = layer(x, output_shape=output_shape) + else: + if "patches" in transformer_options and "forward_timestep_embed_patch" in transformer_options["patches"]: + found_patched = False + for class_type, handler in transformer_options["patches"]["forward_timestep_embed_patch"]: + if isinstance(layer, class_type): + x = handler(layer, x, emb, context, transformer_options, output_shape, time_context, num_video_frames, image_only_indicator) + found_patched = True + break + if found_patched: + continue + x = layer(x) + return x + +class TimestepEmbedSequential(nn.Sequential, TimestepBlock): + """ + A sequential module that passes timestep embeddings to the children that + support it as an extra input. + """ + + def forward(self, *args, **kwargs): + return forward_timestep_embed(self, *args, **kwargs) + +class Upsample(nn.Module): + """ + An upsampling layer with an optional convolution. + :param channels: channels in the inputs and outputs. + :param use_conv: a bool determining if a convolution is applied. + :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then + upsampling occurs in the inner-two dimensions. + """ + + def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1, dtype=None, device=None, operations=ops): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.dims = dims + if use_conv: + self.conv = operations.conv_nd(dims, self.channels, self.out_channels, 3, padding=padding, dtype=dtype, device=device) + + def forward(self, x, output_shape=None): + assert x.shape[1] == self.channels + if self.dims == 3: + shape = [x.shape[2], x.shape[3] * 2, x.shape[4] * 2] + if output_shape is not None: + shape[1] = output_shape[3] + shape[2] = output_shape[4] + else: + shape = [x.shape[2] * 2, x.shape[3] * 2] + if output_shape is not None: + shape[0] = output_shape[2] + shape[1] = output_shape[3] + + x = F.interpolate(x, size=shape, mode="nearest") + if self.use_conv: + x = self.conv(x) + return x + +class Downsample(nn.Module): + """ + A downsampling layer with an optional convolution. + :param channels: channels in the inputs and outputs. + :param use_conv: a bool determining if a convolution is applied. + :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then + downsampling occurs in the inner-two dimensions. + """ + + def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1, dtype=None, device=None, operations=ops): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.dims = dims + stride = 2 if dims != 3 else (1, 2, 2) + if use_conv: + self.op = operations.conv_nd( + dims, self.channels, self.out_channels, 3, stride=stride, padding=padding, dtype=dtype, device=device + ) + else: + assert self.channels == self.out_channels + self.op = avg_pool_nd(dims, kernel_size=stride, stride=stride) + + def forward(self, x): + assert x.shape[1] == self.channels + return self.op(x) + + +class ResBlock(TimestepBlock): + """ + A residual block that can optionally change the number of channels. + :param channels: the number of input channels. + :param emb_channels: the number of timestep embedding channels. + :param dropout: the rate of dropout. + :param out_channels: if specified, the number of out channels. + :param use_conv: if True and out_channels is specified, use a spatial + convolution instead of a smaller 1x1 convolution to change the + channels in the skip connection. + :param dims: determines if the signal is 1D, 2D, or 3D. + :param use_checkpoint: if True, use gradient checkpointing on this module. + :param up: if True, use this block for upsampling. + :param down: if True, use this block for downsampling. + """ + + def __init__( + self, + channels, + emb_channels, + dropout, + out_channels=None, + use_conv=False, + use_scale_shift_norm=False, + dims=2, + use_checkpoint=False, + up=False, + down=False, + kernel_size=3, + exchange_temb_dims=False, + skip_t_emb=False, + dtype=None, + device=None, + operations=ops + ): + super().__init__() + self.channels = channels + self.emb_channels = emb_channels + self.dropout = dropout + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.use_checkpoint = use_checkpoint + self.use_scale_shift_norm = use_scale_shift_norm + self.exchange_temb_dims = exchange_temb_dims + + if isinstance(kernel_size, list): + padding = [k // 2 for k in kernel_size] + else: + padding = kernel_size // 2 + + self.in_layers = nn.Sequential( + operations.GroupNorm(32, channels, dtype=dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, channels, self.out_channels, kernel_size, padding=padding, dtype=dtype, device=device), + ) + + self.updown = up or down + + if up: + self.h_upd = Upsample(channels, False, dims, dtype=dtype, device=device) + self.x_upd = Upsample(channels, False, dims, dtype=dtype, device=device) + elif down: + self.h_upd = Downsample(channels, False, dims, dtype=dtype, device=device) + self.x_upd = Downsample(channels, False, dims, dtype=dtype, device=device) + else: + self.h_upd = self.x_upd = nn.Identity() + + self.skip_t_emb = skip_t_emb + if self.skip_t_emb: + self.emb_layers = None + self.exchange_temb_dims = False + else: + self.emb_layers = nn.Sequential( + nn.SiLU(), + operations.Linear( + emb_channels, + 2 * self.out_channels if use_scale_shift_norm else self.out_channels, dtype=dtype, device=device + ), + ) + self.out_layers = nn.Sequential( + operations.GroupNorm(32, self.out_channels, dtype=dtype, device=device), + nn.SiLU(), + nn.Dropout(p=dropout), + operations.conv_nd(dims, self.out_channels, self.out_channels, kernel_size, padding=padding, dtype=dtype, device=device) + , + ) + + if self.out_channels == channels: + self.skip_connection = nn.Identity() + elif use_conv: + self.skip_connection = operations.conv_nd( + dims, channels, self.out_channels, kernel_size, padding=padding, dtype=dtype, device=device + ) + else: + self.skip_connection = operations.conv_nd(dims, channels, self.out_channels, 1, dtype=dtype, device=device) + + def forward(self, x, emb): + """ + Apply the block to a Tensor, conditioned on a timestep embedding. + :param x: an [N x C x ...] Tensor of features. + :param emb: an [N x emb_channels] Tensor of timestep embeddings. + :return: an [N x C x ...] Tensor of outputs. + """ + return checkpoint( + self._forward, (x, emb), self.parameters(), self.use_checkpoint + ) + + + def _forward(self, x, emb): + if self.updown: + in_rest, in_conv = self.in_layers[:-1], self.in_layers[-1] + h = in_rest(x) + h = self.h_upd(h) + x = self.x_upd(x) + h = in_conv(h) + else: + h = self.in_layers(x) + + emb_out = None + if not self.skip_t_emb: + emb_out = self.emb_layers(emb).type(h.dtype) + while len(emb_out.shape) < len(h.shape): + emb_out = emb_out[..., None] + if self.use_scale_shift_norm: + out_norm, out_rest = self.out_layers[0], self.out_layers[1:] + h = out_norm(h) + if emb_out is not None: + scale, shift = th.chunk(emb_out, 2, dim=1) + h *= (1 + scale) + h += shift + h = out_rest(h) + else: + if emb_out is not None: + if self.exchange_temb_dims: + emb_out = emb_out.movedim(1, 2) + h = h + emb_out + h = self.out_layers(h) + return self.skip_connection(x) + h + + +class VideoResBlock(ResBlock): + def __init__( + self, + channels: int, + emb_channels: int, + dropout: float, + video_kernel_size=3, + merge_strategy: str = "fixed", + merge_factor: float = 0.5, + out_channels=None, + use_conv: bool = False, + use_scale_shift_norm: bool = False, + dims: int = 2, + use_checkpoint: bool = False, + up: bool = False, + down: bool = False, + dtype=None, + device=None, + operations=ops + ): + super().__init__( + channels, + emb_channels, + dropout, + out_channels=out_channels, + use_conv=use_conv, + use_scale_shift_norm=use_scale_shift_norm, + dims=dims, + use_checkpoint=use_checkpoint, + up=up, + down=down, + dtype=dtype, + device=device, + operations=operations + ) + + self.time_stack = ResBlock( + default(out_channels, channels), + emb_channels, + dropout=dropout, + dims=3, + out_channels=default(out_channels, channels), + use_scale_shift_norm=False, + use_conv=False, + up=False, + down=False, + kernel_size=video_kernel_size, + use_checkpoint=use_checkpoint, + exchange_temb_dims=True, + dtype=dtype, + device=device, + operations=operations + ) + self.time_mixer = AlphaBlender( + alpha=merge_factor, + merge_strategy=merge_strategy, + rearrange_pattern="b t -> b 1 t 1 1", + ) + + def forward( + self, + x: th.Tensor, + emb: th.Tensor, + num_video_frames: int, + image_only_indicator = None, + ) -> th.Tensor: + x = super().forward(x, emb) + + x_mix = rearrange(x, "(b t) c h w -> b c t h w", t=num_video_frames) + x = rearrange(x, "(b t) c h w -> b c t h w", t=num_video_frames) + + x = self.time_stack( + x, rearrange(emb, "(b t) ... -> b t ...", t=num_video_frames) + ) + x = self.time_mixer( + x_spatial=x_mix, x_temporal=x, image_only_indicator=image_only_indicator + ) + x = rearrange(x, "b c t h w -> (b t) c h w") + return x + + +class Timestep(nn.Module): + def __init__(self, dim): + super().__init__() + self.dim = dim + + def forward(self, t): + return timestep_embedding(t, self.dim) + +def apply_control(h, control, name): + if control is not None and name in control and len(control[name]) > 0: + ctrl = control[name].pop() + if ctrl is not None: + try: + h += ctrl + except: + logging.warning("warning control could not be applied {} {}".format(h.shape, ctrl.shape)) + return h + +class UNetModel(nn.Module): + """ + The full UNet model with attention and timestep embedding. + :param in_channels: channels in the input Tensor. + :param model_channels: base channel count for the model. + :param out_channels: channels in the output Tensor. + :param num_res_blocks: number of residual blocks per downsample. + :param dropout: the dropout probability. + :param channel_mult: channel multiplier for each level of the UNet. + :param conv_resample: if True, use learned convolutions for upsampling and + downsampling. + :param dims: determines if the signal is 1D, 2D, or 3D. + :param num_classes: if specified (as an int), then this model will be + class-conditional with `num_classes` classes. + :param use_checkpoint: use gradient checkpointing to reduce memory usage. + :param num_heads: the number of attention heads in each attention layer. + :param num_heads_channels: if specified, ignore num_heads and instead use + a fixed channel width per attention head. + :param num_heads_upsample: works with num_heads to set a different number + of heads for upsampling. Deprecated. + :param use_scale_shift_norm: use a FiLM-like conditioning mechanism. + :param resblock_updown: use residual blocks for up/downsampling. + :param use_new_attention_order: use a different attention pattern for potentially + increased efficiency. + """ + + def __init__( + self, + image_size, + in_channels, + model_channels, + out_channels, + num_res_blocks, + dropout=0, + channel_mult=(1, 2, 4, 8), + conv_resample=True, + dims=2, + num_classes=None, + use_checkpoint=False, + dtype=th.float32, + num_heads=-1, + num_head_channels=-1, + num_heads_upsample=-1, + use_scale_shift_norm=False, + resblock_updown=False, + use_new_attention_order=False, + use_spatial_transformer=False, # custom transformer support + transformer_depth=1, # custom transformer support + context_dim=None, # custom transformer support + n_embed=None, # custom support for prediction of discrete ids into codebook of first stage vq model + legacy=True, + disable_self_attentions=None, + num_attention_blocks=None, + disable_middle_self_attn=False, + use_linear_in_transformer=False, + adm_in_channels=None, + transformer_depth_middle=None, + transformer_depth_output=None, + use_temporal_resblock=False, + use_temporal_attention=False, + time_context_dim=None, + extra_ff_mix_layer=False, + use_spatial_context=False, + merge_strategy=None, + merge_factor=0.0, + video_kernel_size=None, + disable_temporal_crossattention=False, + max_ddpm_temb_period=10000, + attn_precision=None, + device=None, + operations=ops, + ): + super().__init__() + + if context_dim is not None: + assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...' + # from omegaconf.listconfig import ListConfig + # if type(context_dim) == ListConfig: + # context_dim = list(context_dim) + + if num_heads_upsample == -1: + num_heads_upsample = num_heads + + if num_heads == -1: + assert num_head_channels != -1, 'Either num_heads or num_head_channels has to be set' + + if num_head_channels == -1: + assert num_heads != -1, 'Either num_heads or num_head_channels has to be set' + + self.in_channels = in_channels + self.model_channels = model_channels + self.out_channels = out_channels + + if isinstance(num_res_blocks, int): + self.num_res_blocks = len(channel_mult) * [num_res_blocks] + else: + if len(num_res_blocks) != len(channel_mult): + raise ValueError("provide num_res_blocks either as an int (globally constant) or " + "as a list/tuple (per-level) with the same length as channel_mult") + self.num_res_blocks = num_res_blocks + + if disable_self_attentions is not None: + # should be a list of booleans, indicating whether to disable self-attention in TransformerBlocks or not + assert len(disable_self_attentions) == len(channel_mult) + if num_attention_blocks is not None: + assert len(num_attention_blocks) == len(self.num_res_blocks) + + transformer_depth = transformer_depth[:] + transformer_depth_output = transformer_depth_output[:] + + self.dropout = dropout + self.channel_mult = channel_mult + self.conv_resample = conv_resample + self.num_classes = num_classes + self.use_checkpoint = use_checkpoint + self.dtype = dtype + self.num_heads = num_heads + self.num_head_channels = num_head_channels + self.num_heads_upsample = num_heads_upsample + self.use_temporal_resblocks = use_temporal_resblock + self.predict_codebook_ids = n_embed is not None + + self.default_num_video_frames = None + + time_embed_dim = model_channels * 4 + self.time_embed = nn.Sequential( + operations.Linear(model_channels, time_embed_dim, dtype=self.dtype, device=device), + nn.SiLU(), + operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device), + ) + + if self.num_classes is not None: + if isinstance(self.num_classes, int): + self.label_emb = nn.Embedding(num_classes, time_embed_dim, dtype=self.dtype, device=device) + elif self.num_classes == "continuous": + logging.debug("setting up linear c_adm embedding layer") + self.label_emb = nn.Linear(1, time_embed_dim) + elif self.num_classes == "sequential": + assert adm_in_channels is not None + self.label_emb = nn.Sequential( + nn.Sequential( + operations.Linear(adm_in_channels, time_embed_dim, dtype=self.dtype, device=device), + nn.SiLU(), + operations.Linear(time_embed_dim, time_embed_dim, dtype=self.dtype, device=device), + ) + ) + else: + raise ValueError() + + self.input_blocks = nn.ModuleList( + [ + TimestepEmbedSequential( + operations.conv_nd(dims, in_channels, model_channels, 3, padding=1, dtype=self.dtype, device=device) + ) + ] + ) + self._feature_size = model_channels + input_block_chans = [model_channels] + ch = model_channels + ds = 1 + + def get_attention_layer( + ch, + num_heads, + dim_head, + depth=1, + context_dim=None, + use_checkpoint=False, + disable_self_attn=False, + ): + if use_temporal_attention: + return SpatialVideoTransformer( + ch, + num_heads, + dim_head, + depth=depth, + context_dim=context_dim, + time_context_dim=time_context_dim, + dropout=dropout, + ff_in=extra_ff_mix_layer, + use_spatial_context=use_spatial_context, + merge_strategy=merge_strategy, + merge_factor=merge_factor, + checkpoint=use_checkpoint, + use_linear=use_linear_in_transformer, + disable_self_attn=disable_self_attn, + disable_temporal_crossattention=disable_temporal_crossattention, + max_time_embed_period=max_ddpm_temb_period, + attn_precision=attn_precision, + dtype=self.dtype, device=device, operations=operations + ) + else: + return SpatialTransformer( + ch, num_heads, dim_head, depth=depth, context_dim=context_dim, + disable_self_attn=disable_self_attn, use_linear=use_linear_in_transformer, + use_checkpoint=use_checkpoint, attn_precision=attn_precision, dtype=self.dtype, device=device, operations=operations + ) + + def get_resblock( + merge_factor, + merge_strategy, + video_kernel_size, + ch, + time_embed_dim, + dropout, + out_channels, + dims, + use_checkpoint, + use_scale_shift_norm, + down=False, + up=False, + dtype=None, + device=None, + operations=ops + ): + if self.use_temporal_resblocks: + return VideoResBlock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + channels=ch, + emb_channels=time_embed_dim, + dropout=dropout, + out_channels=out_channels, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + down=down, + up=up, + dtype=dtype, + device=device, + operations=operations + ) + else: + return ResBlock( + channels=ch, + emb_channels=time_embed_dim, + dropout=dropout, + out_channels=out_channels, + use_checkpoint=use_checkpoint, + dims=dims, + use_scale_shift_norm=use_scale_shift_norm, + down=down, + up=up, + dtype=dtype, + device=device, + operations=operations + ) + + for level, mult in enumerate(channel_mult): + for nr in range(self.num_res_blocks[level]): + layers = [ + get_resblock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + ch=ch, + time_embed_dim=time_embed_dim, + dropout=dropout, + out_channels=mult * model_channels, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations, + ) + ] + ch = mult * model_channels + num_transformers = transformer_depth.pop(0) + if num_transformers > 0: + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + if exists(disable_self_attentions): + disabled_sa = disable_self_attentions[level] + else: + disabled_sa = False + + if not exists(num_attention_blocks) or nr < num_attention_blocks[level]: + layers.append(get_attention_layer( + ch, num_heads, dim_head, depth=num_transformers, context_dim=context_dim, + disable_self_attn=disabled_sa, use_checkpoint=use_checkpoint) + ) + self.input_blocks.append(TimestepEmbedSequential(*layers)) + self._feature_size += ch + input_block_chans.append(ch) + if level != len(channel_mult) - 1: + out_ch = ch + self.input_blocks.append( + TimestepEmbedSequential( + get_resblock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + ch=ch, + time_embed_dim=time_embed_dim, + dropout=dropout, + out_channels=out_ch, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + down=True, + dtype=self.dtype, + device=device, + operations=operations + ) + if resblock_updown + else Downsample( + ch, conv_resample, dims=dims, out_channels=out_ch, dtype=self.dtype, device=device, operations=operations + ) + ) + ) + ch = out_ch + input_block_chans.append(ch) + ds *= 2 + self._feature_size += ch + + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + mid_block = [ + get_resblock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + ch=ch, + time_embed_dim=time_embed_dim, + dropout=dropout, + out_channels=None, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations + )] + + self.middle_block = None + if transformer_depth_middle >= -1: + if transformer_depth_middle >= 0: + mid_block += [get_attention_layer( # always uses a self-attn + ch, num_heads, dim_head, depth=transformer_depth_middle, context_dim=context_dim, + disable_self_attn=disable_middle_self_attn, use_checkpoint=use_checkpoint + ), + get_resblock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + ch=ch, + time_embed_dim=time_embed_dim, + dropout=dropout, + out_channels=None, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations + )] + self.middle_block = TimestepEmbedSequential(*mid_block) + self._feature_size += ch + + self.output_blocks = nn.ModuleList([]) + for level, mult in list(enumerate(channel_mult))[::-1]: + for i in range(self.num_res_blocks[level] + 1): + ich = input_block_chans.pop() + layers = [ + get_resblock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + ch=ch + ich, + time_embed_dim=time_embed_dim, + dropout=dropout, + out_channels=model_channels * mult, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + dtype=self.dtype, + device=device, + operations=operations + ) + ] + ch = model_channels * mult + num_transformers = transformer_depth_output.pop() + if num_transformers > 0: + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + if exists(disable_self_attentions): + disabled_sa = disable_self_attentions[level] + else: + disabled_sa = False + + if not exists(num_attention_blocks) or i < num_attention_blocks[level]: + layers.append( + get_attention_layer( + ch, num_heads, dim_head, depth=num_transformers, context_dim=context_dim, + disable_self_attn=disabled_sa, use_checkpoint=use_checkpoint + ) + ) + if level and i == self.num_res_blocks[level]: + out_ch = ch + layers.append( + get_resblock( + merge_factor=merge_factor, + merge_strategy=merge_strategy, + video_kernel_size=video_kernel_size, + ch=ch, + time_embed_dim=time_embed_dim, + dropout=dropout, + out_channels=out_ch, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + up=True, + dtype=self.dtype, + device=device, + operations=operations + ) + if resblock_updown + else Upsample(ch, conv_resample, dims=dims, out_channels=out_ch, dtype=self.dtype, device=device, operations=operations) + ) + ds //= 2 + self.output_blocks.append(TimestepEmbedSequential(*layers)) + self._feature_size += ch + + self.out = nn.Sequential( + operations.GroupNorm(32, ch, dtype=self.dtype, device=device), + nn.SiLU(), + operations.conv_nd(dims, model_channels, out_channels, 3, padding=1, dtype=self.dtype, device=device), + ) + if self.predict_codebook_ids: + self.id_predictor = nn.Sequential( + operations.GroupNorm(32, ch, dtype=self.dtype, device=device), + operations.conv_nd(dims, model_channels, n_embed, 1, dtype=self.dtype, device=device), + #nn.LogSoftmax(dim=1) # change to cross_entropy and produce non-normalized logits + ) + + def forward(self, x, timesteps=None, context=None, y=None, control=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timesteps, context, y, control, transformer_options, **kwargs) + + def _forward(self, x, timesteps=None, context=None, y=None, control=None, transformer_options={}, **kwargs): + """ + Apply the model to an input batch. + :param x: an [N x C x ...] Tensor of inputs. + :param timesteps: a 1-D batch of timesteps. + :param context: conditioning plugged in via crossattn + :param y: an [N] Tensor of labels, if class-conditional. + :return: an [N x C x ...] Tensor of outputs. + """ + transformer_options["original_shape"] = list(x.shape) + transformer_options["transformer_index"] = 0 + transformer_patches = transformer_options.get("patches", {}) + + num_video_frames = kwargs.get("num_video_frames", self.default_num_video_frames) + image_only_indicator = kwargs.get("image_only_indicator", None) + time_context = kwargs.get("time_context", None) + + assert (y is not None) == ( + self.num_classes is not None + ), "must specify y if and only if the model is class-conditional" + hs = [] + t_emb = timestep_embedding(timesteps, self.model_channels, repeat_only=False).to(x.dtype) + emb = self.time_embed(t_emb) + + if "emb_patch" in transformer_patches: + patch = transformer_patches["emb_patch"] + for p in patch: + emb = p(emb, self.model_channels, transformer_options) + + if self.num_classes is not None: + assert y.shape[0] == x.shape[0] + emb = emb + self.label_emb(y) + + h = x + for id, module in enumerate(self.input_blocks): + transformer_options["block"] = ("input", id) + h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator) + h = apply_control(h, control, 'input') + if "input_block_patch" in transformer_patches: + patch = transformer_patches["input_block_patch"] + for p in patch: + h = p(h, transformer_options) + + hs.append(h) + if "input_block_patch_after_skip" in transformer_patches: + patch = transformer_patches["input_block_patch_after_skip"] + for p in patch: + h = p(h, transformer_options) + + transformer_options["block"] = ("middle", 0) + if self.middle_block is not None: + h = forward_timestep_embed(self.middle_block, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator) + h = apply_control(h, control, 'middle') + + + for id, module in enumerate(self.output_blocks): + transformer_options["block"] = ("output", id) + hsp = hs.pop() + hsp = apply_control(hsp, control, 'output') + + if "output_block_patch" in transformer_patches: + patch = transformer_patches["output_block_patch"] + for p in patch: + h, hsp = p(h, hsp, transformer_options) + + h = th.cat([h, hsp], dim=1) + del hsp + if len(hs) > 0: + output_shape = hs[-1].shape + else: + output_shape = None + h = forward_timestep_embed(module, h, emb, context, transformer_options, output_shape, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator) + h = h.type(x.dtype) + if self.predict_codebook_ids: + return self.id_predictor(h) + else: + return self.out(h) diff --git a/comfy/ldm/modules/diffusionmodules/upscaling.py b/comfy/ldm/modules/diffusionmodules/upscaling.py new file mode 100644 index 0000000000000000000000000000000000000000..9dbf1fe7b93b0c7f1a9e8cbf8e89d0b33c282a08 --- /dev/null +++ b/comfy/ldm/modules/diffusionmodules/upscaling.py @@ -0,0 +1,84 @@ +import torch +import torch.nn as nn +import numpy as np +from functools import partial + +from .util import extract_into_tensor, make_beta_schedule + + +class AbstractLowScaleModel(nn.Module): + # for concatenating a downsampled image to the latent representation + def __init__(self, noise_schedule_config=None): + super(AbstractLowScaleModel, self).__init__() + if noise_schedule_config is not None: + self.register_schedule(**noise_schedule_config) + + def register_schedule(self, beta_schedule="linear", timesteps=1000, + linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3): + betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end, + cosine_s=cosine_s) + alphas = 1. - betas + alphas_cumprod = np.cumprod(alphas, axis=0) + alphas_cumprod_prev = np.append(1., alphas_cumprod[:-1]) + + timesteps, = betas.shape + self.num_timesteps = int(timesteps) + self.linear_start = linear_start + self.linear_end = linear_end + assert alphas_cumprod.shape[0] == self.num_timesteps, 'alphas have to be defined for each timestep' + + to_torch = partial(torch.tensor, dtype=torch.float32) + + self.register_buffer('betas', to_torch(betas)) + self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod)) + self.register_buffer('alphas_cumprod_prev', to_torch(alphas_cumprod_prev)) + + # calculations for diffusion q(x_t | x_{t-1}) and others + self.register_buffer('sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod))) + self.register_buffer('sqrt_one_minus_alphas_cumprod', to_torch(np.sqrt(1. - alphas_cumprod))) + self.register_buffer('log_one_minus_alphas_cumprod', to_torch(np.log(1. - alphas_cumprod))) + self.register_buffer('sqrt_recip_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod))) + self.register_buffer('sqrt_recipm1_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod - 1))) + + def q_sample(self, x_start, t, noise=None, seed=None): + if noise is None: + if seed is None: + noise = torch.randn_like(x_start) + else: + noise = torch.randn(x_start.size(), dtype=x_start.dtype, layout=x_start.layout, generator=torch.manual_seed(seed)).to(x_start.device) + return (extract_into_tensor(self.sqrt_alphas_cumprod.to(x_start.device), t, x_start.shape) * x_start + + extract_into_tensor(self.sqrt_one_minus_alphas_cumprod.to(x_start.device), t, x_start.shape) * noise) + + def forward(self, x): + return x, None + + def decode(self, x): + return x + + +class SimpleImageConcat(AbstractLowScaleModel): + # no noise level conditioning + def __init__(self): + super(SimpleImageConcat, self).__init__(noise_schedule_config=None) + self.max_noise_level = 0 + + def forward(self, x): + # fix to constant noise level + return x, torch.zeros(x.shape[0], device=x.device).long() + + +class ImageConcatWithNoiseAugmentation(AbstractLowScaleModel): + def __init__(self, noise_schedule_config, max_noise_level=1000, to_cuda=False): + super().__init__(noise_schedule_config=noise_schedule_config) + self.max_noise_level = max_noise_level + + def forward(self, x, noise_level=None, seed=None): + if noise_level is None: + noise_level = torch.randint(0, self.max_noise_level, (x.shape[0],), device=x.device).long() + else: + assert isinstance(noise_level, torch.Tensor) + z = self.q_sample(x, noise_level, seed=seed) + return z, noise_level + + + diff --git a/comfy/ldm/modules/diffusionmodules/util.py b/comfy/ldm/modules/diffusionmodules/util.py new file mode 100644 index 0000000000000000000000000000000000000000..233011dc9524c3d5258c69c673385aaf45329c81 --- /dev/null +++ b/comfy/ldm/modules/diffusionmodules/util.py @@ -0,0 +1,306 @@ +# adopted from +# https://github.com/openai/improved-diffusion/blob/main/improved_diffusion/gaussian_diffusion.py +# and +# https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py +# and +# https://github.com/openai/guided-diffusion/blob/0ba878e517b276c45d1195eb29f6f5f72659a05b/guided_diffusion/nn.py +# +# thanks! + + +import math +import logging +import torch +import torch.nn as nn +import numpy as np +from einops import repeat, rearrange + +from comfy.ldm.util import instantiate_from_config + +class AlphaBlender(nn.Module): + strategies = ["learned", "fixed", "learned_with_images"] + + def __init__( + self, + alpha: float, + merge_strategy: str = "learned_with_images", + rearrange_pattern: str = "b t -> (b t) 1 1", + ): + super().__init__() + self.merge_strategy = merge_strategy + self.rearrange_pattern = rearrange_pattern + + assert ( + merge_strategy in self.strategies + ), f"merge_strategy needs to be in {self.strategies}" + + if self.merge_strategy == "fixed": + self.register_buffer("mix_factor", torch.Tensor([alpha])) + elif ( + self.merge_strategy == "learned" + or self.merge_strategy == "learned_with_images" + ): + self.register_parameter( + "mix_factor", torch.nn.Parameter(torch.Tensor([alpha])) + ) + else: + raise ValueError(f"unknown merge strategy {self.merge_strategy}") + + def get_alpha(self, image_only_indicator: torch.Tensor, device) -> torch.Tensor: + # skip_time_mix = rearrange(repeat(skip_time_mix, 'b -> (b t) () () ()', t=t), '(b t) 1 ... -> b 1 t ...', t=t) + if self.merge_strategy == "fixed": + # make shape compatible + # alpha = repeat(self.mix_factor, '1 -> b () t () ()', t=t, b=bs) + alpha = self.mix_factor.to(device) + elif self.merge_strategy == "learned": + alpha = torch.sigmoid(self.mix_factor.to(device)) + # make shape compatible + # alpha = repeat(alpha, '1 -> s () ()', s = t * bs) + elif self.merge_strategy == "learned_with_images": + if image_only_indicator is None: + alpha = rearrange(torch.sigmoid(self.mix_factor.to(device)), "... -> ... 1") + else: + alpha = torch.where( + image_only_indicator.bool(), + torch.ones(1, 1, device=image_only_indicator.device), + rearrange(torch.sigmoid(self.mix_factor.to(image_only_indicator.device)), "... -> ... 1"), + ) + alpha = rearrange(alpha, self.rearrange_pattern) + # make shape compatible + # alpha = repeat(alpha, '1 -> s () ()', s = t * bs) + else: + raise NotImplementedError() + return alpha + + def forward( + self, + x_spatial, + x_temporal, + image_only_indicator=None, + ) -> torch.Tensor: + alpha = self.get_alpha(image_only_indicator, x_spatial.device) + x = ( + alpha.to(x_spatial.dtype) * x_spatial + + (1.0 - alpha).to(x_spatial.dtype) * x_temporal + ) + return x + + +def make_beta_schedule(schedule, n_timestep, linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3): + if schedule == "linear": + betas = ( + torch.linspace(linear_start ** 0.5, linear_end ** 0.5, n_timestep, dtype=torch.float64) ** 2 + ) + + elif schedule == "cosine": + timesteps = ( + torch.arange(n_timestep + 1, dtype=torch.float64) / n_timestep + cosine_s + ) + alphas = timesteps / (1 + cosine_s) * np.pi / 2 + alphas = torch.cos(alphas).pow(2) + alphas = alphas / alphas[0] + betas = 1 - alphas[1:] / alphas[:-1] + betas = torch.clamp(betas, min=0, max=0.999) + + elif schedule == "squaredcos_cap_v2": # used for karlo prior + # return early + return betas_for_alpha_bar( + n_timestep, + lambda t: math.cos((t + 0.008) / 1.008 * math.pi / 2) ** 2, + ) + + elif schedule == "sqrt_linear": + betas = torch.linspace(linear_start, linear_end, n_timestep, dtype=torch.float64) + elif schedule == "sqrt": + betas = torch.linspace(linear_start, linear_end, n_timestep, dtype=torch.float64) ** 0.5 + else: + raise ValueError(f"schedule '{schedule}' unknown.") + return betas + + +def make_ddim_timesteps(ddim_discr_method, num_ddim_timesteps, num_ddpm_timesteps, verbose=True): + if ddim_discr_method == 'uniform': + c = num_ddpm_timesteps // num_ddim_timesteps + ddim_timesteps = np.asarray(list(range(0, num_ddpm_timesteps, c))) + elif ddim_discr_method == 'quad': + ddim_timesteps = ((np.linspace(0, np.sqrt(num_ddpm_timesteps * .8), num_ddim_timesteps)) ** 2).astype(int) + else: + raise NotImplementedError(f'There is no ddim discretization method called "{ddim_discr_method}"') + + # assert ddim_timesteps.shape[0] == num_ddim_timesteps + # add one to get the final alpha values right (the ones from first scale to data during sampling) + steps_out = ddim_timesteps + 1 + if verbose: + logging.info(f'Selected timesteps for ddim sampler: {steps_out}') + return steps_out + + +def make_ddim_sampling_parameters(alphacums, ddim_timesteps, eta, verbose=True): + # select alphas for computing the variance schedule + alphas = alphacums[ddim_timesteps] + alphas_prev = np.asarray([alphacums[0]] + alphacums[ddim_timesteps[:-1]].tolist()) + + # according the the formula provided in https://arxiv.org/abs/2010.02502 + sigmas = eta * np.sqrt((1 - alphas_prev) / (1 - alphas) * (1 - alphas / alphas_prev)) + if verbose: + logging.info(f'Selected alphas for ddim sampler: a_t: {alphas}; a_(t-1): {alphas_prev}') + logging.info(f'For the chosen value of eta, which is {eta}, ' + f'this results in the following sigma_t schedule for ddim sampler {sigmas}') + return sigmas, alphas, alphas_prev + + +def betas_for_alpha_bar(num_diffusion_timesteps, alpha_bar, max_beta=0.999): + """ + Create a beta schedule that discretizes the given alpha_t_bar function, + which defines the cumulative product of (1-beta) over time from t = [0,1]. + :param num_diffusion_timesteps: the number of betas to produce. + :param alpha_bar: a lambda that takes an argument t from 0 to 1 and + produces the cumulative product of (1-beta) up to that + part of the diffusion process. + :param max_beta: the maximum beta to use; use values lower than 1 to + prevent singularities. + """ + betas = [] + for i in range(num_diffusion_timesteps): + t1 = i / num_diffusion_timesteps + t2 = (i + 1) / num_diffusion_timesteps + betas.append(min(1 - alpha_bar(t2) / alpha_bar(t1), max_beta)) + return np.array(betas) + + +def extract_into_tensor(a, t, x_shape): + b, *_ = t.shape + out = a.gather(-1, t) + return out.reshape(b, *((1,) * (len(x_shape) - 1))) + + +def checkpoint(func, inputs, params, flag): + """ + Evaluate a function without caching intermediate activations, allowing for + reduced memory at the expense of extra compute in the backward pass. + :param func: the function to evaluate. + :param inputs: the argument sequence to pass to `func`. + :param params: a sequence of parameters `func` depends on but does not + explicitly take as arguments. + :param flag: if False, disable gradient checkpointing. + """ + if flag: + args = tuple(inputs) + tuple(params) + return CheckpointFunction.apply(func, len(inputs), *args) + else: + return func(*inputs) + + +class CheckpointFunction(torch.autograd.Function): + @staticmethod + def forward(ctx, run_function, length, *args): + ctx.run_function = run_function + ctx.input_tensors = list(args[:length]) + ctx.input_params = list(args[length:]) + ctx.gpu_autocast_kwargs = {"enabled": torch.is_autocast_enabled(), + "dtype": torch.get_autocast_gpu_dtype(), + "cache_enabled": torch.is_autocast_cache_enabled()} + with torch.no_grad(): + output_tensors = ctx.run_function(*ctx.input_tensors) + return output_tensors + + @staticmethod + def backward(ctx, *output_grads): + ctx.input_tensors = [x.detach().requires_grad_(True) for x in ctx.input_tensors] + with torch.enable_grad(), \ + torch.cuda.amp.autocast(**ctx.gpu_autocast_kwargs): + # Fixes a bug where the first op in run_function modifies the + # Tensor storage in place, which is not allowed for detach()'d + # Tensors. + shallow_copies = [x.view_as(x) for x in ctx.input_tensors] + output_tensors = ctx.run_function(*shallow_copies) + input_grads = torch.autograd.grad( + output_tensors, + ctx.input_tensors + ctx.input_params, + output_grads, + allow_unused=True, + ) + del ctx.input_tensors + del ctx.input_params + del output_tensors + return (None, None) + input_grads + + +def timestep_embedding(timesteps, dim, max_period=10000, repeat_only=False): + """ + Create sinusoidal timestep embeddings. + :param timesteps: a 1-D Tensor of N indices, one per batch element. + These may be fractional. + :param dim: the dimension of the output. + :param max_period: controls the minimum frequency of the embeddings. + :return: an [N x dim] Tensor of positional embeddings. + """ + if not repeat_only: + half = dim // 2 + freqs = torch.exp( + -math.log(max_period) * torch.arange(start=0, end=half, dtype=torch.float32, device=timesteps.device) / half + ) + args = timesteps[:, None].float() * freqs[None] + embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1) + if dim % 2: + embedding = torch.cat([embedding, torch.zeros_like(embedding[:, :1])], dim=-1) + else: + embedding = repeat(timesteps, 'b -> b d', d=dim) + return embedding + + +def zero_module(module): + """ + Zero out the parameters of a module and return it. + """ + for p in module.parameters(): + p.detach().zero_() + return module + + +def scale_module(module, scale): + """ + Scale the parameters of a module and return it. + """ + for p in module.parameters(): + p.detach().mul_(scale) + return module + + +def mean_flat(tensor): + """ + Take the mean over all non-batch dimensions. + """ + return tensor.mean(dim=list(range(1, len(tensor.shape)))) + + +def avg_pool_nd(dims, *args, **kwargs): + """ + Create a 1D, 2D, or 3D average pooling module. + """ + if dims == 1: + return nn.AvgPool1d(*args, **kwargs) + elif dims == 2: + return nn.AvgPool2d(*args, **kwargs) + elif dims == 3: + return nn.AvgPool3d(*args, **kwargs) + raise ValueError(f"unsupported dimensions: {dims}") + + +class HybridConditioner(nn.Module): + + def __init__(self, c_concat_config, c_crossattn_config): + super().__init__() + self.concat_conditioner = instantiate_from_config(c_concat_config) + self.crossattn_conditioner = instantiate_from_config(c_crossattn_config) + + def forward(self, c_concat, c_crossattn): + c_concat = self.concat_conditioner(c_concat) + c_crossattn = self.crossattn_conditioner(c_crossattn) + return {'c_concat': [c_concat], 'c_crossattn': [c_crossattn]} + + +def noise_like(shape, device, repeat=False): + repeat_noise = lambda: torch.randn((1, *shape[1:]), device=device).repeat(shape[0], *((1,) * (len(shape) - 1))) + noise = lambda: torch.randn(shape, device=device) + return repeat_noise() if repeat else noise() diff --git a/comfy/ldm/modules/distributions/__init__.py b/comfy/ldm/modules/distributions/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/comfy/ldm/modules/distributions/distributions.py b/comfy/ldm/modules/distributions/distributions.py new file mode 100644 index 0000000000000000000000000000000000000000..df987c5ec3faaba7da2b02029ad413134bfa08ad --- /dev/null +++ b/comfy/ldm/modules/distributions/distributions.py @@ -0,0 +1,92 @@ +import torch +import numpy as np + + +class AbstractDistribution: + def sample(self): + raise NotImplementedError() + + def mode(self): + raise NotImplementedError() + + +class DiracDistribution(AbstractDistribution): + def __init__(self, value): + self.value = value + + def sample(self): + return self.value + + def mode(self): + return self.value + + +class DiagonalGaussianDistribution(object): + def __init__(self, parameters, deterministic=False): + self.parameters = parameters + self.mean, self.logvar = torch.chunk(parameters, 2, dim=1) + self.logvar = torch.clamp(self.logvar, -30.0, 20.0) + self.deterministic = deterministic + self.std = torch.exp(0.5 * self.logvar) + self.var = torch.exp(self.logvar) + if self.deterministic: + self.var = self.std = torch.zeros_like(self.mean, device=self.parameters.device) + + def sample(self): + x = self.mean + self.std * torch.randn(self.mean.shape, device=self.parameters.device) + return x + + def kl(self, other=None): + if self.deterministic: + return torch.Tensor([0.]) + else: + if other is None: + return 0.5 * torch.sum(torch.pow(self.mean, 2) + + self.var - 1.0 - self.logvar, + dim=[1, 2, 3]) + else: + return 0.5 * torch.sum( + torch.pow(self.mean - other.mean, 2) / other.var + + self.var / other.var - 1.0 - self.logvar + other.logvar, + dim=[1, 2, 3]) + + def nll(self, sample, dims=[1,2,3]): + if self.deterministic: + return torch.Tensor([0.]) + logtwopi = np.log(2.0 * np.pi) + return 0.5 * torch.sum( + logtwopi + self.logvar + torch.pow(sample - self.mean, 2) / self.var, + dim=dims) + + def mode(self): + return self.mean + + +def normal_kl(mean1, logvar1, mean2, logvar2): + """ + source: https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/losses.py#L12 + Compute the KL divergence between two gaussians. + Shapes are automatically broadcasted, so batches can be compared to + scalars, among other use cases. + """ + tensor = None + for obj in (mean1, logvar1, mean2, logvar2): + if isinstance(obj, torch.Tensor): + tensor = obj + break + assert tensor is not None, "at least one argument must be a Tensor" + + # Force variances to be Tensors. Broadcasting helps convert scalars to + # Tensors, but it does not work for torch.exp(). + logvar1, logvar2 = [ + x if isinstance(x, torch.Tensor) else torch.tensor(x).to(tensor) + for x in (logvar1, logvar2) + ] + + return 0.5 * ( + -1.0 + + logvar2 + - logvar1 + + torch.exp(logvar1 - logvar2) + + ((mean1 - mean2) ** 2) * torch.exp(-logvar2) + ) diff --git a/comfy/ldm/modules/ema.py b/comfy/ldm/modules/ema.py new file mode 100644 index 0000000000000000000000000000000000000000..bded25019b9bcbcd0260f0b8185f8c7859ca58c4 --- /dev/null +++ b/comfy/ldm/modules/ema.py @@ -0,0 +1,80 @@ +import torch +from torch import nn + + +class LitEma(nn.Module): + def __init__(self, model, decay=0.9999, use_num_upates=True): + super().__init__() + if decay < 0.0 or decay > 1.0: + raise ValueError('Decay must be between 0 and 1') + + self.m_name2s_name = {} + self.register_buffer('decay', torch.tensor(decay, dtype=torch.float32)) + self.register_buffer('num_updates', torch.tensor(0, dtype=torch.int) if use_num_upates + else torch.tensor(-1, dtype=torch.int)) + + for name, p in model.named_parameters(): + if p.requires_grad: + # remove as '.'-character is not allowed in buffers + s_name = name.replace('.', '') + self.m_name2s_name.update({name: s_name}) + self.register_buffer(s_name, p.clone().detach().data) + + self.collected_params = [] + + def reset_num_updates(self): + del self.num_updates + self.register_buffer('num_updates', torch.tensor(0, dtype=torch.int)) + + def forward(self, model): + decay = self.decay + + if self.num_updates >= 0: + self.num_updates += 1 + decay = min(self.decay, (1 + self.num_updates) / (10 + self.num_updates)) + + one_minus_decay = 1.0 - decay + + with torch.no_grad(): + m_param = dict(model.named_parameters()) + shadow_params = dict(self.named_buffers()) + + for key in m_param: + if m_param[key].requires_grad: + sname = self.m_name2s_name[key] + shadow_params[sname] = shadow_params[sname].type_as(m_param[key]) + shadow_params[sname].sub_(one_minus_decay * (shadow_params[sname] - m_param[key])) + else: + assert not key in self.m_name2s_name + + def copy_to(self, model): + m_param = dict(model.named_parameters()) + shadow_params = dict(self.named_buffers()) + for key in m_param: + if m_param[key].requires_grad: + m_param[key].data.copy_(shadow_params[self.m_name2s_name[key]].data) + else: + assert not key in self.m_name2s_name + + def store(self, parameters): + """ + Save the current parameters for restoring later. + Args: + parameters: Iterable of `torch.nn.Parameter`; the parameters to be + temporarily stored. + """ + self.collected_params = [param.clone() for param in parameters] + + def restore(self, parameters): + """ + Restore the parameters stored with the `store` method. + Useful to validate the model with EMA parameters without affecting the + original optimization process. Store the parameters before the + `copy_to` method. After validation (or model saving), use this to + restore the former parameters. + Args: + parameters: Iterable of `torch.nn.Parameter`; the parameters to be + updated with the stored parameters. + """ + for c_param, param in zip(self.collected_params, parameters): + param.data.copy_(c_param.data) diff --git a/comfy/ldm/modules/encoders/__init__.py b/comfy/ldm/modules/encoders/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/comfy/ldm/modules/encoders/noise_aug_modules.py b/comfy/ldm/modules/encoders/noise_aug_modules.py new file mode 100644 index 0000000000000000000000000000000000000000..a5d8660301636fde75808cba50afa539cf1162e0 --- /dev/null +++ b/comfy/ldm/modules/encoders/noise_aug_modules.py @@ -0,0 +1,35 @@ +from ..diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation +from ..diffusionmodules.openaimodel import Timestep +import torch + +class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation): + def __init__(self, *args, clip_stats_path=None, timestep_dim=256, **kwargs): + super().__init__(*args, **kwargs) + if clip_stats_path is None: + clip_mean, clip_std = torch.zeros(timestep_dim), torch.ones(timestep_dim) + else: + clip_mean, clip_std = torch.load(clip_stats_path, map_location="cpu") + self.register_buffer("data_mean", clip_mean[None, :], persistent=False) + self.register_buffer("data_std", clip_std[None, :], persistent=False) + self.time_embed = Timestep(timestep_dim) + + def scale(self, x): + # re-normalize to centered mean and unit variance + x = (x - self.data_mean.to(x.device)) * 1. / self.data_std.to(x.device) + return x + + def unscale(self, x): + # back to original data stats + x = (x * self.data_std.to(x.device)) + self.data_mean.to(x.device) + return x + + def forward(self, x, noise_level=None, seed=None): + if noise_level is None: + noise_level = torch.randint(0, self.max_noise_level, (x.shape[0],), device=x.device).long() + else: + assert isinstance(noise_level, torch.Tensor) + x = self.scale(x) + z = self.q_sample(x, noise_level, seed=seed) + z = self.unscale(z) + noise_level = self.time_embed(noise_level) + return z, noise_level diff --git a/comfy/ldm/modules/sub_quadratic_attention.py b/comfy/ldm/modules/sub_quadratic_attention.py new file mode 100644 index 0000000000000000000000000000000000000000..fab145f1c208930f1d5bd385325e4e844b959aca --- /dev/null +++ b/comfy/ldm/modules/sub_quadratic_attention.py @@ -0,0 +1,275 @@ +# original source: +# https://github.com/AminRezaei0x443/memory-efficient-attention/blob/1bc0d9e6ac5f82ea43a375135c4e1d3896ee1694/memory_efficient_attention/attention_torch.py +# license: +# MIT +# credit: +# Amin Rezaei (original author) +# Alex Birch (optimized algorithm for 3D tensors, at the expense of removing bias, masking and callbacks) +# implementation of: +# Self-attention Does Not Need O(n2) Memory": +# https://arxiv.org/abs/2112.05682v2 + +from functools import partial +import torch +from torch import Tensor +from torch.utils.checkpoint import checkpoint +import math +import logging + +try: + from typing import Optional, NamedTuple, List, Protocol +except ImportError: + from typing import Optional, NamedTuple, List + from typing_extensions import Protocol + +from typing import List + +from comfy import model_management + +def dynamic_slice( + x: Tensor, + starts: List[int], + sizes: List[int], +) -> Tensor: + slicing = tuple(slice(start, start + size) for start, size in zip(starts, sizes)) + return x[slicing] + +class AttnChunk(NamedTuple): + exp_values: Tensor + exp_weights_sum: Tensor + max_score: Tensor + +class SummarizeChunk(Protocol): + @staticmethod + def __call__( + query: Tensor, + key_t: Tensor, + value: Tensor, + ) -> AttnChunk: ... + +class ComputeQueryChunkAttn(Protocol): + @staticmethod + def __call__( + query: Tensor, + key_t: Tensor, + value: Tensor, + ) -> Tensor: ... + +def _summarize_chunk( + query: Tensor, + key_t: Tensor, + value: Tensor, + scale: float, + upcast_attention: bool, + mask, +) -> AttnChunk: + if upcast_attention: + with torch.autocast(enabled=False, device_type = 'cuda'): + query = query.float() + key_t = key_t.float() + attn_weights = torch.baddbmm( + torch.empty(1, 1, 1, device=query.device, dtype=query.dtype), + query, + key_t, + alpha=scale, + beta=0, + ) + else: + attn_weights = torch.baddbmm( + torch.empty(1, 1, 1, device=query.device, dtype=query.dtype), + query, + key_t, + alpha=scale, + beta=0, + ) + max_score, _ = torch.max(attn_weights, -1, keepdim=True) + max_score = max_score.detach() + attn_weights -= max_score + if mask is not None: + attn_weights += mask + torch.exp(attn_weights, out=attn_weights) + exp_weights = attn_weights.to(value.dtype) + exp_values = torch.bmm(exp_weights, value) + max_score = max_score.squeeze(-1) + return AttnChunk(exp_values, exp_weights.sum(dim=-1), max_score) + +def _query_chunk_attention( + query: Tensor, + key_t: Tensor, + value: Tensor, + summarize_chunk: SummarizeChunk, + kv_chunk_size: int, + mask, +) -> Tensor: + batch_x_heads, k_channels_per_head, k_tokens = key_t.shape + _, _, v_channels_per_head = value.shape + + def chunk_scanner(chunk_idx: int, mask) -> AttnChunk: + key_chunk = dynamic_slice( + key_t, + (0, 0, chunk_idx), + (batch_x_heads, k_channels_per_head, kv_chunk_size) + ) + value_chunk = dynamic_slice( + value, + (0, chunk_idx, 0), + (batch_x_heads, kv_chunk_size, v_channels_per_head) + ) + if mask is not None: + mask = mask[:,:,chunk_idx:chunk_idx + kv_chunk_size] + + return summarize_chunk(query, key_chunk, value_chunk, mask=mask) + + chunks: List[AttnChunk] = [ + chunk_scanner(chunk, mask) for chunk in torch.arange(0, k_tokens, kv_chunk_size) + ] + acc_chunk = AttnChunk(*map(torch.stack, zip(*chunks))) + chunk_values, chunk_weights, chunk_max = acc_chunk + + global_max, _ = torch.max(chunk_max, 0, keepdim=True) + max_diffs = torch.exp(chunk_max - global_max) + chunk_values *= torch.unsqueeze(max_diffs, -1) + chunk_weights *= max_diffs + + all_values = chunk_values.sum(dim=0) + all_weights = torch.unsqueeze(chunk_weights, -1).sum(dim=0) + return all_values / all_weights + +# TODO: refactor CrossAttention#get_attention_scores to share code with this +def _get_attention_scores_no_kv_chunking( + query: Tensor, + key_t: Tensor, + value: Tensor, + scale: float, + upcast_attention: bool, + mask, +) -> Tensor: + if upcast_attention: + with torch.autocast(enabled=False, device_type = 'cuda'): + query = query.float() + key_t = key_t.float() + attn_scores = torch.baddbmm( + torch.empty(1, 1, 1, device=query.device, dtype=query.dtype), + query, + key_t, + alpha=scale, + beta=0, + ) + else: + attn_scores = torch.baddbmm( + torch.empty(1, 1, 1, device=query.device, dtype=query.dtype), + query, + key_t, + alpha=scale, + beta=0, + ) + + if mask is not None: + attn_scores += mask + try: + attn_probs = attn_scores.softmax(dim=-1) + del attn_scores + except model_management.OOM_EXCEPTION: + logging.warning("ran out of memory while running softmax in _get_attention_scores_no_kv_chunking, trying slower in place softmax instead") + attn_scores -= attn_scores.max(dim=-1, keepdim=True).values # noqa: F821 attn_scores is not defined + torch.exp(attn_scores, out=attn_scores) + summed = torch.sum(attn_scores, dim=-1, keepdim=True) + attn_scores /= summed + attn_probs = attn_scores + + hidden_states_slice = torch.bmm(attn_probs.to(value.dtype), value) + return hidden_states_slice + +class ScannedChunk(NamedTuple): + chunk_idx: int + attn_chunk: AttnChunk + +def efficient_dot_product_attention( + query: Tensor, + key_t: Tensor, + value: Tensor, + query_chunk_size=1024, + kv_chunk_size: Optional[int] = None, + kv_chunk_size_min: Optional[int] = None, + use_checkpoint=True, + upcast_attention=False, + mask = None, +): + """Computes efficient dot-product attention given query, transposed key, and value. + This is efficient version of attention presented in + https://arxiv.org/abs/2112.05682v2 which comes with O(sqrt(n)) memory requirements. + Args: + query: queries for calculating attention with shape of + `[batch * num_heads, tokens, channels_per_head]`. + key_t: keys for calculating attention with shape of + `[batch * num_heads, channels_per_head, tokens]`. + value: values to be used in attention with shape of + `[batch * num_heads, tokens, channels_per_head]`. + query_chunk_size: int: query chunks size + kv_chunk_size: Optional[int]: key/value chunks size. if None: defaults to sqrt(key_tokens) + kv_chunk_size_min: Optional[int]: key/value minimum chunk size. only considered when kv_chunk_size is None. changes `sqrt(key_tokens)` into `max(sqrt(key_tokens), kv_chunk_size_min)`, to ensure our chunk sizes don't get too small (smaller chunks = more chunks = less concurrent work done). + use_checkpoint: bool: whether to use checkpointing (recommended True for training, False for inference) + Returns: + Output of shape `[batch * num_heads, query_tokens, channels_per_head]`. + """ + batch_x_heads, q_tokens, q_channels_per_head = query.shape + _, _, k_tokens = key_t.shape + scale = q_channels_per_head ** -0.5 + + kv_chunk_size = min(kv_chunk_size or int(math.sqrt(k_tokens)), k_tokens) + if kv_chunk_size_min is not None: + kv_chunk_size = max(kv_chunk_size, kv_chunk_size_min) + + if mask is not None and len(mask.shape) == 2: + mask = mask.unsqueeze(0) + + def get_query_chunk(chunk_idx: int) -> Tensor: + return dynamic_slice( + query, + (0, chunk_idx, 0), + (batch_x_heads, min(query_chunk_size, q_tokens), q_channels_per_head) + ) + + def get_mask_chunk(chunk_idx: int) -> Tensor: + if mask is None: + return None + if mask.shape[1] == 1: + return mask + chunk = min(query_chunk_size, q_tokens) + return mask[:,chunk_idx:chunk_idx + chunk] + + summarize_chunk: SummarizeChunk = partial(_summarize_chunk, scale=scale, upcast_attention=upcast_attention) + summarize_chunk: SummarizeChunk = partial(checkpoint, summarize_chunk) if use_checkpoint else summarize_chunk + compute_query_chunk_attn: ComputeQueryChunkAttn = partial( + _get_attention_scores_no_kv_chunking, + scale=scale, + upcast_attention=upcast_attention + ) if k_tokens <= kv_chunk_size else ( + # fast-path for when there's just 1 key-value chunk per query chunk (this is just sliced attention btw) + partial( + _query_chunk_attention, + kv_chunk_size=kv_chunk_size, + summarize_chunk=summarize_chunk, + ) + ) + + if q_tokens <= query_chunk_size: + # fast-path for when there's just 1 query chunk + return compute_query_chunk_attn( + query=query, + key_t=key_t, + value=value, + mask=mask, + ) + + # TODO: maybe we should use torch.empty_like(query) to allocate storage in-advance, + # and pass slices to be mutated, instead of torch.cat()ing the returned slices + res = torch.cat([ + compute_query_chunk_attn( + query=get_query_chunk(i * query_chunk_size), + key_t=key_t, + value=value, + mask=get_mask_chunk(i * query_chunk_size) + ) for i in range(math.ceil(q_tokens / query_chunk_size)) + ], dim=1) + return res diff --git a/comfy/ldm/modules/temporal_ae.py b/comfy/ldm/modules/temporal_ae.py new file mode 100644 index 0000000000000000000000000000000000000000..e0f78bf66b7b06b3f49f5add7a8a502384a9f445 --- /dev/null +++ b/comfy/ldm/modules/temporal_ae.py @@ -0,0 +1,246 @@ +import functools +from typing import Iterable, Union + +import torch +from einops import rearrange, repeat + +import comfy.ops +ops = comfy.ops.disable_weight_init + +from .diffusionmodules.model import ( + AttnBlock, + Decoder, + ResnetBlock, +) +from .diffusionmodules.openaimodel import ResBlock, timestep_embedding +from .attention import BasicTransformerBlock + +def partialclass(cls, *args, **kwargs): + class NewCls(cls): + __init__ = functools.partialmethod(cls.__init__, *args, **kwargs) + + return NewCls + + +class VideoResBlock(ResnetBlock): + def __init__( + self, + out_channels, + *args, + dropout=0.0, + video_kernel_size=3, + alpha=0.0, + merge_strategy="learned", + **kwargs, + ): + super().__init__(out_channels=out_channels, dropout=dropout, *args, **kwargs) + if video_kernel_size is None: + video_kernel_size = [3, 1, 1] + self.time_stack = ResBlock( + channels=out_channels, + emb_channels=0, + dropout=dropout, + dims=3, + use_scale_shift_norm=False, + use_conv=False, + up=False, + down=False, + kernel_size=video_kernel_size, + use_checkpoint=False, + skip_t_emb=True, + ) + + self.merge_strategy = merge_strategy + if self.merge_strategy == "fixed": + self.register_buffer("mix_factor", torch.Tensor([alpha])) + elif self.merge_strategy == "learned": + self.register_parameter( + "mix_factor", torch.nn.Parameter(torch.Tensor([alpha])) + ) + else: + raise ValueError(f"unknown merge strategy {self.merge_strategy}") + + def get_alpha(self, bs): + if self.merge_strategy == "fixed": + return self.mix_factor + elif self.merge_strategy == "learned": + return torch.sigmoid(self.mix_factor) + else: + raise NotImplementedError() + + def forward(self, x, temb, skip_video=False, timesteps=None): + b, c, h, w = x.shape + if timesteps is None: + timesteps = b + + x = super().forward(x, temb) + + if not skip_video: + x_mix = rearrange(x, "(b t) c h w -> b c t h w", t=timesteps) + + x = rearrange(x, "(b t) c h w -> b c t h w", t=timesteps) + + x = self.time_stack(x, temb) + + alpha = self.get_alpha(bs=b // timesteps).to(x.device) + x = alpha * x + (1.0 - alpha) * x_mix + + x = rearrange(x, "b c t h w -> (b t) c h w") + return x + + +class AE3DConv(ops.Conv2d): + def __init__(self, in_channels, out_channels, video_kernel_size=3, *args, **kwargs): + super().__init__(in_channels, out_channels, *args, **kwargs) + if isinstance(video_kernel_size, Iterable): + padding = [int(k // 2) for k in video_kernel_size] + else: + padding = int(video_kernel_size // 2) + + self.time_mix_conv = ops.Conv3d( + in_channels=out_channels, + out_channels=out_channels, + kernel_size=video_kernel_size, + padding=padding, + ) + + def forward(self, input, timesteps=None, skip_video=False): + if timesteps is None: + timesteps = input.shape[0] + x = super().forward(input) + if skip_video: + return x + x = rearrange(x, "(b t) c h w -> b c t h w", t=timesteps) + x = self.time_mix_conv(x) + return rearrange(x, "b c t h w -> (b t) c h w") + + +class AttnVideoBlock(AttnBlock): + def __init__( + self, in_channels: int, alpha: float = 0, merge_strategy: str = "learned" + ): + super().__init__(in_channels) + # no context, single headed, as in base class + self.time_mix_block = BasicTransformerBlock( + dim=in_channels, + n_heads=1, + d_head=in_channels, + checkpoint=False, + ff_in=True, + ) + + time_embed_dim = self.in_channels * 4 + self.video_time_embed = torch.nn.Sequential( + ops.Linear(self.in_channels, time_embed_dim), + torch.nn.SiLU(), + ops.Linear(time_embed_dim, self.in_channels), + ) + + self.merge_strategy = merge_strategy + if self.merge_strategy == "fixed": + self.register_buffer("mix_factor", torch.Tensor([alpha])) + elif self.merge_strategy == "learned": + self.register_parameter( + "mix_factor", torch.nn.Parameter(torch.Tensor([alpha])) + ) + else: + raise ValueError(f"unknown merge strategy {self.merge_strategy}") + + def forward(self, x, timesteps=None, skip_time_block=False): + if skip_time_block: + return super().forward(x) + + if timesteps is None: + timesteps = x.shape[0] + + x_in = x + x = self.attention(x) + h, w = x.shape[2:] + x = rearrange(x, "b c h w -> b (h w) c") + + x_mix = x + num_frames = torch.arange(timesteps, device=x.device) + num_frames = repeat(num_frames, "t -> b t", b=x.shape[0] // timesteps) + num_frames = rearrange(num_frames, "b t -> (b t)") + t_emb = timestep_embedding(num_frames, self.in_channels, repeat_only=False) + emb = self.video_time_embed(t_emb) # b, n_channels + emb = emb[:, None, :] + x_mix = x_mix + emb + + alpha = self.get_alpha().to(x.device) + x_mix = self.time_mix_block(x_mix, timesteps=timesteps) + x = alpha * x + (1.0 - alpha) * x_mix # alpha merge + + x = rearrange(x, "b (h w) c -> b c h w", h=h, w=w) + x = self.proj_out(x) + + return x_in + x + + def get_alpha( + self, + ): + if self.merge_strategy == "fixed": + return self.mix_factor + elif self.merge_strategy == "learned": + return torch.sigmoid(self.mix_factor) + else: + raise NotImplementedError(f"unknown merge strategy {self.merge_strategy}") + + + +def make_time_attn( + in_channels, + attn_type="vanilla", + attn_kwargs=None, + alpha: float = 0, + merge_strategy: str = "learned", + conv_op=ops.Conv2d, +): + return partialclass( + AttnVideoBlock, in_channels, alpha=alpha, merge_strategy=merge_strategy + ) + + +class Conv2DWrapper(torch.nn.Conv2d): + def forward(self, input: torch.Tensor, **kwargs) -> torch.Tensor: + return super().forward(input) + + +class VideoDecoder(Decoder): + available_time_modes = ["all", "conv-only", "attn-only"] + + def __init__( + self, + *args, + video_kernel_size: Union[int, list] = 3, + alpha: float = 0.0, + merge_strategy: str = "learned", + time_mode: str = "conv-only", + **kwargs, + ): + self.video_kernel_size = video_kernel_size + self.alpha = alpha + self.merge_strategy = merge_strategy + self.time_mode = time_mode + assert ( + self.time_mode in self.available_time_modes + ), f"time_mode parameter has to be in {self.available_time_modes}" + + if self.time_mode != "attn-only": + kwargs["conv_out_op"] = partialclass(AE3DConv, video_kernel_size=self.video_kernel_size) + if self.time_mode not in ["conv-only", "only-last-conv"]: + kwargs["attn_op"] = partialclass(make_time_attn, alpha=self.alpha, merge_strategy=self.merge_strategy) + if self.time_mode not in ["attn-only", "only-last-conv"]: + kwargs["resnet_op"] = partialclass(VideoResBlock, video_kernel_size=self.video_kernel_size, alpha=self.alpha, merge_strategy=self.merge_strategy) + + super().__init__(*args, **kwargs) + + def get_last_layer(self, skip_time_mix=False, **kwargs): + if self.time_mode == "attn-only": + raise NotImplementedError("TODO") + else: + return ( + self.conv_out.time_mix_conv.weight + if not skip_time_mix + else self.conv_out.weight + ) diff --git a/comfy/ldm/omnigen/omnigen2.py b/comfy/ldm/omnigen/omnigen2.py new file mode 100644 index 0000000000000000000000000000000000000000..82edc92da71e66a6c4b3777d90c781060dd046e9 --- /dev/null +++ b/comfy/ldm/omnigen/omnigen2.py @@ -0,0 +1,470 @@ +# Original code: https://github.com/VectorSpaceLab/OmniGen2 + +from typing import Optional, Tuple + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange, repeat +from comfy.ldm.lightricks.model import Timesteps +from comfy.ldm.flux.layers import EmbedND +from comfy.ldm.modules.attention import optimized_attention_masked +import comfy.model_management +import comfy.ldm.common_dit + + +def apply_rotary_emb(x, freqs_cis): + if x.shape[1] == 0: + return x + + t_ = x.reshape(*x.shape[:-1], -1, 1, 2) + t_out = freqs_cis[..., 0] * t_[..., 0] + freqs_cis[..., 1] * t_[..., 1] + return t_out.reshape(*x.shape).to(dtype=x.dtype) + + +def swiglu(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: + return F.silu(x) * y + + +class TimestepEmbedding(nn.Module): + def __init__(self, in_channels: int, time_embed_dim: int, dtype=None, device=None, operations=None): + super().__init__() + self.linear_1 = operations.Linear(in_channels, time_embed_dim, dtype=dtype, device=device) + self.act = nn.SiLU() + self.linear_2 = operations.Linear(time_embed_dim, time_embed_dim, dtype=dtype, device=device) + + def forward(self, sample: torch.Tensor) -> torch.Tensor: + sample = self.linear_1(sample) + sample = self.act(sample) + sample = self.linear_2(sample) + return sample + + +class LuminaRMSNormZero(nn.Module): + def __init__(self, embedding_dim: int, norm_eps: float = 1e-5, dtype=None, device=None, operations=None): + super().__init__() + self.silu = nn.SiLU() + self.linear = operations.Linear(min(embedding_dim, 1024), 4 * embedding_dim, dtype=dtype, device=device) + self.norm = operations.RMSNorm(embedding_dim, eps=norm_eps, dtype=dtype, device=device) + + def forward(self, x: torch.Tensor, emb: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + emb = self.linear(self.silu(emb)) + scale_msa, gate_msa, scale_mlp, gate_mlp = emb.chunk(4, dim=1) + x = self.norm(x) * (1 + scale_msa[:, None]) + return x, gate_msa, scale_mlp, gate_mlp + + +class LuminaLayerNormContinuous(nn.Module): + def __init__(self, embedding_dim: int, conditioning_embedding_dim: int, elementwise_affine: bool = False, eps: float = 1e-6, out_dim: Optional[int] = None, dtype=None, device=None, operations=None): + super().__init__() + self.silu = nn.SiLU() + self.linear_1 = operations.Linear(conditioning_embedding_dim, embedding_dim, dtype=dtype, device=device) + self.norm = operations.LayerNorm(embedding_dim, eps, elementwise_affine, dtype=dtype, device=device) + self.linear_2 = operations.Linear(embedding_dim, out_dim, bias=True, dtype=dtype, device=device) if out_dim is not None else None + + def forward(self, x: torch.Tensor, conditioning_embedding: torch.Tensor) -> torch.Tensor: + emb = self.linear_1(self.silu(conditioning_embedding).to(x.dtype)) + x = self.norm(x) * (1 + emb)[:, None, :] + if self.linear_2 is not None: + x = self.linear_2(x) + return x + + +class LuminaFeedForward(nn.Module): + def __init__(self, dim: int, inner_dim: int, multiple_of: int = 256, dtype=None, device=None, operations=None): + super().__init__() + inner_dim = multiple_of * ((inner_dim + multiple_of - 1) // multiple_of) + self.linear_1 = operations.Linear(dim, inner_dim, bias=False, dtype=dtype, device=device) + self.linear_2 = operations.Linear(inner_dim, dim, bias=False, dtype=dtype, device=device) + self.linear_3 = operations.Linear(dim, inner_dim, bias=False, dtype=dtype, device=device) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + h1, h2 = self.linear_1(x), self.linear_3(x) + return self.linear_2(swiglu(h1, h2)) + + +class Lumina2CombinedTimestepCaptionEmbedding(nn.Module): + def __init__(self, hidden_size: int = 4096, text_feat_dim: int = 2048, frequency_embedding_size: int = 256, norm_eps: float = 1e-5, timestep_scale: float = 1.0, dtype=None, device=None, operations=None): + super().__init__() + self.time_proj = Timesteps(num_channels=frequency_embedding_size, flip_sin_to_cos=True, downscale_freq_shift=0.0, scale=timestep_scale) + self.timestep_embedder = TimestepEmbedding(in_channels=frequency_embedding_size, time_embed_dim=min(hidden_size, 1024), dtype=dtype, device=device, operations=operations) + self.caption_embedder = nn.Sequential( + operations.RMSNorm(text_feat_dim, eps=norm_eps, dtype=dtype, device=device), + operations.Linear(text_feat_dim, hidden_size, bias=True, dtype=dtype, device=device), + ) + + def forward(self, timestep: torch.Tensor, text_hidden_states: torch.Tensor, dtype: torch.dtype) -> Tuple[torch.Tensor, torch.Tensor]: + timestep_proj = self.time_proj(timestep).to(dtype=dtype) + time_embed = self.timestep_embedder(timestep_proj) + caption_embed = self.caption_embedder(text_hidden_states) + return time_embed, caption_embed + + +class Attention(nn.Module): + def __init__(self, query_dim: int, dim_head: int, heads: int, kv_heads: int, eps: float = 1e-5, bias: bool = False, dtype=None, device=None, operations=None): + super().__init__() + self.heads = heads + self.kv_heads = kv_heads + self.dim_head = dim_head + self.scale = dim_head ** -0.5 + + self.to_q = operations.Linear(query_dim, heads * dim_head, bias=bias, dtype=dtype, device=device) + self.to_k = operations.Linear(query_dim, kv_heads * dim_head, bias=bias, dtype=dtype, device=device) + self.to_v = operations.Linear(query_dim, kv_heads * dim_head, bias=bias, dtype=dtype, device=device) + + self.norm_q = operations.RMSNorm(dim_head, eps=eps, dtype=dtype, device=device) + self.norm_k = operations.RMSNorm(dim_head, eps=eps, dtype=dtype, device=device) + + self.to_out = nn.Sequential( + operations.Linear(heads * dim_head, query_dim, bias=bias, dtype=dtype, device=device), + nn.Dropout(0.0) + ) + + def forward(self, hidden_states: torch.Tensor, encoder_hidden_states: torch.Tensor, attention_mask: Optional[torch.Tensor] = None, image_rotary_emb: Optional[torch.Tensor] = None, transformer_options={}) -> torch.Tensor: + batch_size, sequence_length, _ = hidden_states.shape + + query = self.to_q(hidden_states) + key = self.to_k(encoder_hidden_states) + value = self.to_v(encoder_hidden_states) + + query = query.view(batch_size, -1, self.heads, self.dim_head) + key = key.view(batch_size, -1, self.kv_heads, self.dim_head) + value = value.view(batch_size, -1, self.kv_heads, self.dim_head) + + query = self.norm_q(query) + key = self.norm_k(key) + + if image_rotary_emb is not None: + query = apply_rotary_emb(query, image_rotary_emb) + key = apply_rotary_emb(key, image_rotary_emb) + + query = query.transpose(1, 2) + key = key.transpose(1, 2) + value = value.transpose(1, 2) + + if self.kv_heads < self.heads: + key = key.repeat_interleave(self.heads // self.kv_heads, dim=1) + value = value.repeat_interleave(self.heads // self.kv_heads, dim=1) + + hidden_states = optimized_attention_masked(query, key, value, self.heads, attention_mask, skip_reshape=True, transformer_options=transformer_options) + hidden_states = self.to_out[0](hidden_states) + return hidden_states + + +class OmniGen2TransformerBlock(nn.Module): + def __init__(self, dim: int, num_attention_heads: int, num_kv_heads: int, multiple_of: int, ffn_dim_multiplier: float, norm_eps: float, modulation: bool = True, dtype=None, device=None, operations=None): + super().__init__() + self.modulation = modulation + + self.attn = Attention( + query_dim=dim, + dim_head=dim // num_attention_heads, + heads=num_attention_heads, + kv_heads=num_kv_heads, + eps=1e-5, + bias=False, + dtype=dtype, device=device, operations=operations, + ) + + self.feed_forward = LuminaFeedForward( + dim=dim, + inner_dim=4 * dim, + multiple_of=multiple_of, + dtype=dtype, device=device, operations=operations + ) + + if modulation: + self.norm1 = LuminaRMSNormZero(embedding_dim=dim, norm_eps=norm_eps, dtype=dtype, device=device, operations=operations) + else: + self.norm1 = operations.RMSNorm(dim, eps=norm_eps, dtype=dtype, device=device) + + self.ffn_norm1 = operations.RMSNorm(dim, eps=norm_eps, dtype=dtype, device=device) + self.norm2 = operations.RMSNorm(dim, eps=norm_eps, dtype=dtype, device=device) + self.ffn_norm2 = operations.RMSNorm(dim, eps=norm_eps, dtype=dtype, device=device) + + def forward(self, hidden_states: torch.Tensor, attention_mask: torch.Tensor, image_rotary_emb: torch.Tensor, temb: Optional[torch.Tensor] = None, transformer_options={}) -> torch.Tensor: + if self.modulation: + norm_hidden_states, gate_msa, scale_mlp, gate_mlp = self.norm1(hidden_states, temb) + attn_output = self.attn(norm_hidden_states, norm_hidden_states, attention_mask, image_rotary_emb, transformer_options=transformer_options) + hidden_states = hidden_states + gate_msa.unsqueeze(1).tanh() * self.norm2(attn_output) + mlp_output = self.feed_forward(self.ffn_norm1(hidden_states) * (1 + scale_mlp.unsqueeze(1))) + hidden_states = hidden_states + gate_mlp.unsqueeze(1).tanh() * self.ffn_norm2(mlp_output) + else: + norm_hidden_states = self.norm1(hidden_states) + attn_output = self.attn(norm_hidden_states, norm_hidden_states, attention_mask, image_rotary_emb, transformer_options=transformer_options) + hidden_states = hidden_states + self.norm2(attn_output) + mlp_output = self.feed_forward(self.ffn_norm1(hidden_states)) + hidden_states = hidden_states + self.ffn_norm2(mlp_output) + return hidden_states + + +class OmniGen2RotaryPosEmbed(nn.Module): + def __init__(self, theta: int, axes_dim: Tuple[int, int, int], axes_lens: Tuple[int, int, int] = (300, 512, 512), patch_size: int = 2): + super().__init__() + self.theta = theta + self.axes_dim = axes_dim + self.axes_lens = axes_lens + self.patch_size = patch_size + self.rope_embedder = EmbedND(dim=sum(axes_dim), theta=self.theta, axes_dim=axes_dim) + + def forward(self, batch_size, encoder_seq_len, l_effective_cap_len, l_effective_ref_img_len, l_effective_img_len, ref_img_sizes, img_sizes, device): + p = self.patch_size + + seq_lengths = [cap_len + sum(ref_img_len) + img_len for cap_len, ref_img_len, img_len in zip(l_effective_cap_len, l_effective_ref_img_len, l_effective_img_len)] + + max_seq_len = max(seq_lengths) + max_ref_img_len = max([sum(ref_img_len) for ref_img_len in l_effective_ref_img_len]) + max_img_len = max(l_effective_img_len) + + position_ids = torch.zeros(batch_size, max_seq_len, 3, dtype=torch.int32, device=device) + + for i, (cap_seq_len, seq_len) in enumerate(zip(l_effective_cap_len, seq_lengths)): + position_ids[i, :cap_seq_len] = repeat(torch.arange(cap_seq_len, dtype=torch.int32, device=device), "l -> l 3") + + pe_shift = cap_seq_len + pe_shift_len = cap_seq_len + + if ref_img_sizes[i] is not None: + for ref_img_size, ref_img_len in zip(ref_img_sizes[i], l_effective_ref_img_len[i]): + H, W = ref_img_size + ref_H_tokens, ref_W_tokens = H // p, W // p + + row_ids = repeat(torch.arange(ref_H_tokens, dtype=torch.int32, device=device), "h -> h w", w=ref_W_tokens).flatten() + col_ids = repeat(torch.arange(ref_W_tokens, dtype=torch.int32, device=device), "w -> h w", h=ref_H_tokens).flatten() + position_ids[i, pe_shift_len:pe_shift_len + ref_img_len, 0] = pe_shift + position_ids[i, pe_shift_len:pe_shift_len + ref_img_len, 1] = row_ids + position_ids[i, pe_shift_len:pe_shift_len + ref_img_len, 2] = col_ids + + pe_shift += max(ref_H_tokens, ref_W_tokens) + pe_shift_len += ref_img_len + + H, W = img_sizes[i] + H_tokens, W_tokens = H // p, W // p + + row_ids = repeat(torch.arange(H_tokens, dtype=torch.int32, device=device), "h -> h w", w=W_tokens).flatten() + col_ids = repeat(torch.arange(W_tokens, dtype=torch.int32, device=device), "w -> h w", h=H_tokens).flatten() + + position_ids[i, pe_shift_len: seq_len, 0] = pe_shift + position_ids[i, pe_shift_len: seq_len, 1] = row_ids + position_ids[i, pe_shift_len: seq_len, 2] = col_ids + + freqs_cis = self.rope_embedder(position_ids).movedim(1, 2) + + cap_freqs_cis_shape = list(freqs_cis.shape) + cap_freqs_cis_shape[1] = encoder_seq_len + cap_freqs_cis = torch.zeros(*cap_freqs_cis_shape, device=device, dtype=freqs_cis.dtype) + + ref_img_freqs_cis_shape = list(freqs_cis.shape) + ref_img_freqs_cis_shape[1] = max_ref_img_len + ref_img_freqs_cis = torch.zeros(*ref_img_freqs_cis_shape, device=device, dtype=freqs_cis.dtype) + + img_freqs_cis_shape = list(freqs_cis.shape) + img_freqs_cis_shape[1] = max_img_len + img_freqs_cis = torch.zeros(*img_freqs_cis_shape, device=device, dtype=freqs_cis.dtype) + + for i, (cap_seq_len, ref_img_len, img_len, seq_len) in enumerate(zip(l_effective_cap_len, l_effective_ref_img_len, l_effective_img_len, seq_lengths)): + cap_freqs_cis[i, :cap_seq_len] = freqs_cis[i, :cap_seq_len] + ref_img_freqs_cis[i, :sum(ref_img_len)] = freqs_cis[i, cap_seq_len:cap_seq_len + sum(ref_img_len)] + img_freqs_cis[i, :img_len] = freqs_cis[i, cap_seq_len + sum(ref_img_len):cap_seq_len + sum(ref_img_len) + img_len] + + return cap_freqs_cis, ref_img_freqs_cis, img_freqs_cis, freqs_cis, l_effective_cap_len, seq_lengths + + +class OmniGen2Transformer2DModel(nn.Module): + def __init__( + self, + patch_size: int = 2, + in_channels: int = 16, + out_channels: Optional[int] = None, + hidden_size: int = 2304, + num_layers: int = 26, + num_refiner_layers: int = 2, + num_attention_heads: int = 24, + num_kv_heads: int = 8, + multiple_of: int = 256, + ffn_dim_multiplier: Optional[float] = None, + norm_eps: float = 1e-5, + axes_dim_rope: Tuple[int, int, int] = (32, 32, 32), + axes_lens: Tuple[int, int, int] = (300, 512, 512), + text_feat_dim: int = 1024, + timestep_scale: float = 1.0, + image_model=None, + device=None, + dtype=None, + operations=None, + ): + super().__init__() + + self.patch_size = patch_size + self.out_channels = out_channels or in_channels + self.hidden_size = hidden_size + self.dtype = dtype + + self.rope_embedder = OmniGen2RotaryPosEmbed( + theta=10000, + axes_dim=axes_dim_rope, + axes_lens=axes_lens, + patch_size=patch_size, + ) + + self.x_embedder = operations.Linear(patch_size * patch_size * in_channels, hidden_size, dtype=dtype, device=device) + self.ref_image_patch_embedder = operations.Linear(patch_size * patch_size * in_channels, hidden_size, dtype=dtype, device=device) + + self.time_caption_embed = Lumina2CombinedTimestepCaptionEmbedding( + hidden_size=hidden_size, + text_feat_dim=text_feat_dim, + norm_eps=norm_eps, + timestep_scale=timestep_scale, dtype=dtype, device=device, operations=operations + ) + + self.noise_refiner = nn.ModuleList([ + OmniGen2TransformerBlock( + hidden_size, num_attention_heads, num_kv_heads, + multiple_of, ffn_dim_multiplier, norm_eps, modulation=True, dtype=dtype, device=device, operations=operations + ) for _ in range(num_refiner_layers) + ]) + + self.ref_image_refiner = nn.ModuleList([ + OmniGen2TransformerBlock( + hidden_size, num_attention_heads, num_kv_heads, + multiple_of, ffn_dim_multiplier, norm_eps, modulation=True, dtype=dtype, device=device, operations=operations + ) for _ in range(num_refiner_layers) + ]) + + self.context_refiner = nn.ModuleList([ + OmniGen2TransformerBlock( + hidden_size, num_attention_heads, num_kv_heads, + multiple_of, ffn_dim_multiplier, norm_eps, modulation=False, dtype=dtype, device=device, operations=operations + ) for _ in range(num_refiner_layers) + ]) + + self.layers = nn.ModuleList([ + OmniGen2TransformerBlock( + hidden_size, num_attention_heads, num_kv_heads, + multiple_of, ffn_dim_multiplier, norm_eps, modulation=True, dtype=dtype, device=device, operations=operations + ) for _ in range(num_layers) + ]) + + self.norm_out = LuminaLayerNormContinuous( + embedding_dim=hidden_size, + conditioning_embedding_dim=min(hidden_size, 1024), + elementwise_affine=False, + eps=1e-6, + out_dim=patch_size * patch_size * self.out_channels, dtype=dtype, device=device, operations=operations + ) + + self.image_index_embedding = nn.Parameter(torch.empty(5, hidden_size, device=device, dtype=dtype)) + + def flat_and_pad_to_seq(self, hidden_states, ref_image_hidden_states): + batch_size = len(hidden_states) + p = self.patch_size + + img_sizes = [(img.size(1), img.size(2)) for img in hidden_states] + l_effective_img_len = [(H // p) * (W // p) for (H, W) in img_sizes] + + if ref_image_hidden_states is not None: + ref_image_hidden_states = list(map(lambda ref: comfy.ldm.common_dit.pad_to_patch_size(ref, (p, p)), ref_image_hidden_states)) + ref_img_sizes = [[(imgs.size(2), imgs.size(3)) if imgs is not None else None for imgs in ref_image_hidden_states]] * batch_size + l_effective_ref_img_len = [[(ref_img_size[0] // p) * (ref_img_size[1] // p) for ref_img_size in _ref_img_sizes] if _ref_img_sizes is not None else [0] for _ref_img_sizes in ref_img_sizes] + else: + ref_img_sizes = [None for _ in range(batch_size)] + l_effective_ref_img_len = [[0] for _ in range(batch_size)] + + flat_ref_img_hidden_states = None + if ref_image_hidden_states is not None: + imgs = [] + for ref_img in ref_image_hidden_states: + B, C, H, W = ref_img.size() + ref_img = rearrange(ref_img, 'b c (h p1) (w p2) -> b (h w) (p1 p2 c)', p1=p, p2=p) + imgs.append(ref_img) + flat_ref_img_hidden_states = torch.cat(imgs, dim=1) + + img = hidden_states + B, C, H, W = img.size() + flat_hidden_states = rearrange(img, 'b c (h p1) (w p2) -> b (h w) (p1 p2 c)', p1=p, p2=p) + + return ( + flat_hidden_states, flat_ref_img_hidden_states, + None, None, + l_effective_ref_img_len, l_effective_img_len, + ref_img_sizes, img_sizes, + ) + + def img_patch_embed_and_refine(self, hidden_states, ref_image_hidden_states, padded_img_mask, padded_ref_img_mask, noise_rotary_emb, ref_img_rotary_emb, l_effective_ref_img_len, l_effective_img_len, temb, transformer_options={}): + batch_size = len(hidden_states) + + hidden_states = self.x_embedder(hidden_states) + if ref_image_hidden_states is not None: + ref_image_hidden_states = self.ref_image_patch_embedder(ref_image_hidden_states) + image_index_embedding = comfy.model_management.cast_to(self.image_index_embedding, dtype=hidden_states.dtype, device=hidden_states.device) + + for i in range(batch_size): + shift = 0 + for j, ref_img_len in enumerate(l_effective_ref_img_len[i]): + ref_image_hidden_states[i, shift:shift + ref_img_len, :] = ref_image_hidden_states[i, shift:shift + ref_img_len, :] + image_index_embedding[j] + shift += ref_img_len + + for layer in self.noise_refiner: + hidden_states = layer(hidden_states, padded_img_mask, noise_rotary_emb, temb, transformer_options=transformer_options) + + if ref_image_hidden_states is not None: + for layer in self.ref_image_refiner: + ref_image_hidden_states = layer(ref_image_hidden_states, padded_ref_img_mask, ref_img_rotary_emb, temb, transformer_options=transformer_options) + + hidden_states = torch.cat([ref_image_hidden_states, hidden_states], dim=1) + + return hidden_states + + def forward(self, x, timesteps, context, num_tokens, ref_latents=None, attention_mask=None, transformer_options={}, **kwargs): + B, C, H, W = x.shape + hidden_states = comfy.ldm.common_dit.pad_to_patch_size(x, (self.patch_size, self.patch_size)) + _, _, H_padded, W_padded = hidden_states.shape + timestep = 1.0 - timesteps + text_hidden_states = context + text_attention_mask = attention_mask + ref_image_hidden_states = ref_latents + device = hidden_states.device + + temb, text_hidden_states = self.time_caption_embed(timestep, text_hidden_states, hidden_states[0].dtype) + + ( + hidden_states, ref_image_hidden_states, + img_mask, ref_img_mask, + l_effective_ref_img_len, l_effective_img_len, + ref_img_sizes, img_sizes, + ) = self.flat_and_pad_to_seq(hidden_states, ref_image_hidden_states) + + ( + context_rotary_emb, ref_img_rotary_emb, noise_rotary_emb, + rotary_emb, encoder_seq_lengths, seq_lengths, + ) = self.rope_embedder( + hidden_states.shape[0], text_hidden_states.shape[1], [num_tokens] * text_hidden_states.shape[0], + l_effective_ref_img_len, l_effective_img_len, + ref_img_sizes, img_sizes, device, + ) + + for layer in self.context_refiner: + text_hidden_states = layer(text_hidden_states, text_attention_mask, context_rotary_emb, transformer_options=transformer_options) + + img_len = hidden_states.shape[1] + combined_img_hidden_states = self.img_patch_embed_and_refine( + hidden_states, ref_image_hidden_states, + img_mask, ref_img_mask, + noise_rotary_emb, ref_img_rotary_emb, + l_effective_ref_img_len, l_effective_img_len, + temb, + transformer_options=transformer_options, + ) + + hidden_states = torch.cat([text_hidden_states, combined_img_hidden_states], dim=1) + attention_mask = None + + for layer in self.layers: + hidden_states = layer(hidden_states, attention_mask, rotary_emb, temb, transformer_options=transformer_options) + + hidden_states = self.norm_out(hidden_states, temb) + + p = self.patch_size + output = rearrange(hidden_states[:, -img_len:], 'b (h w) (p1 p2 c) -> b c (h p1) (w p2)', h=H_padded // p, w=W_padded// p, p1=p, p2=p)[:, :, :H, :W] + + return -output diff --git a/comfy/ldm/pixart/blocks.py b/comfy/ldm/pixart/blocks.py new file mode 100644 index 0000000000000000000000000000000000000000..2225076e5754d08cd618014469c2464bad055334 --- /dev/null +++ b/comfy/ldm/pixart/blocks.py @@ -0,0 +1,380 @@ +# Based on: +# https://github.com/PixArt-alpha/PixArt-alpha [Apache 2.0 license] +# https://github.com/PixArt-alpha/PixArt-sigma [Apache 2.0 license] +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange + +from comfy.ldm.modules.diffusionmodules.mmdit import TimestepEmbedder, Mlp, timestep_embedding +from comfy.ldm.modules.attention import optimized_attention + +# if model_management.xformers_enabled(): +# import xformers.ops +# if int((xformers.__version__).split(".")[2].split("+")[0]) >= 28: +# block_diagonal_mask_from_seqlens = xformers.ops.fmha.attn_bias.BlockDiagonalMask.from_seqlens +# else: +# block_diagonal_mask_from_seqlens = xformers.ops.fmha.BlockDiagonalMask.from_seqlens + +def modulate(x, shift, scale): + return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1) + +def t2i_modulate(x, shift, scale): + return x * (1 + scale) + shift + +class MultiHeadCrossAttention(nn.Module): + def __init__(self, d_model, num_heads, attn_drop=0., proj_drop=0., dtype=None, device=None, operations=None, **kwargs): + super(MultiHeadCrossAttention, self).__init__() + assert d_model % num_heads == 0, "d_model must be divisible by num_heads" + + self.d_model = d_model + self.num_heads = num_heads + self.head_dim = d_model // num_heads + + self.q_linear = operations.Linear(d_model, d_model, dtype=dtype, device=device) + self.kv_linear = operations.Linear(d_model, d_model*2, dtype=dtype, device=device) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = operations.Linear(d_model, d_model, dtype=dtype, device=device) + self.proj_drop = nn.Dropout(proj_drop) + + def forward(self, x, cond, mask=None): + # query/value: img tokens; key: condition; mask: if padding tokens + B, N, C = x.shape + + q = self.q_linear(x).view(1, -1, self.num_heads, self.head_dim) + kv = self.kv_linear(cond).view(1, -1, 2, self.num_heads, self.head_dim) + k, v = kv.unbind(2) + + assert mask is None # TODO? + # # TODO: xformers needs separate mask logic here + # if model_management.xformers_enabled(): + # attn_bias = None + # if mask is not None: + # attn_bias = block_diagonal_mask_from_seqlens([N] * B, mask) + # x = xformers.ops.memory_efficient_attention(q, k, v, p=0, attn_bias=attn_bias) + # else: + # q, k, v = map(lambda t: t.transpose(1, 2), (q, k, v),) + # attn_mask = None + # mask = torch.ones(()) + # if mask is not None and len(mask) > 1: + # # Create equivalent of xformer diagonal block mask, still only correct for square masks + # # But depth doesn't matter as tensors can expand in that dimension + # attn_mask_template = torch.ones( + # [q.shape[2] // B, mask[0]], + # dtype=torch.bool, + # device=q.device + # ) + # attn_mask = torch.block_diag(attn_mask_template) + # + # # create a mask on the diagonal for each mask in the batch + # for _ in range(B - 1): + # attn_mask = torch.block_diag(attn_mask, attn_mask_template) + # x = optimized_attention(q, k, v, self.num_heads, mask=attn_mask, skip_reshape=True) + + x = optimized_attention(q.view(B, -1, C), k.view(B, -1, C), v.view(B, -1, C), self.num_heads, mask=None) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class AttentionKVCompress(nn.Module): + """Multi-head Attention block with KV token compression and qk norm.""" + def __init__(self, dim, num_heads=8, qkv_bias=True, sampling='conv', sr_ratio=1, qk_norm=False, dtype=None, device=None, operations=None, **kwargs): + """ + Args: + dim (int): Number of input channels. + num_heads (int): Number of attention heads. + qkv_bias (bool: If True, add a learnable bias to query, key, value. + """ + super().__init__() + assert dim % num_heads == 0, 'dim should be divisible by num_heads' + self.num_heads = num_heads + self.head_dim = dim // num_heads + self.scale = self.head_dim ** -0.5 + + self.qkv = operations.Linear(dim, dim * 3, bias=qkv_bias, dtype=dtype, device=device) + self.proj = operations.Linear(dim, dim, dtype=dtype, device=device) + + self.sampling=sampling # ['conv', 'ave', 'uniform', 'uniform_every'] + self.sr_ratio = sr_ratio + if sr_ratio > 1 and sampling == 'conv': + # Avg Conv Init. + self.sr = operations.Conv2d(dim, dim, groups=dim, kernel_size=sr_ratio, stride=sr_ratio, dtype=dtype, device=device) + # self.sr.weight.data.fill_(1/sr_ratio**2) + # self.sr.bias.data.zero_() + self.norm = operations.LayerNorm(dim, dtype=dtype, device=device) + if qk_norm: + self.q_norm = operations.LayerNorm(dim, dtype=dtype, device=device) + self.k_norm = operations.LayerNorm(dim, dtype=dtype, device=device) + else: + self.q_norm = nn.Identity() + self.k_norm = nn.Identity() + + def downsample_2d(self, tensor, H, W, scale_factor, sampling=None): + if sampling is None or scale_factor == 1: + return tensor + B, N, C = tensor.shape + + if sampling == 'uniform_every': + return tensor[:, ::scale_factor], int(N // scale_factor) + + tensor = tensor.reshape(B, H, W, C).permute(0, 3, 1, 2) + new_H, new_W = int(H / scale_factor), int(W / scale_factor) + new_N = new_H * new_W + + if sampling == 'ave': + tensor = F.interpolate( + tensor, scale_factor=1 / scale_factor, mode='nearest' + ).permute(0, 2, 3, 1) + elif sampling == 'uniform': + tensor = tensor[:, :, ::scale_factor, ::scale_factor].permute(0, 2, 3, 1) + elif sampling == 'conv': + tensor = self.sr(tensor).reshape(B, C, -1).permute(0, 2, 1) + tensor = self.norm(tensor) + else: + raise ValueError + + return tensor.reshape(B, new_N, C).contiguous(), new_N + + def forward(self, x, mask=None, HW=None, block_id=None): + B, N, C = x.shape # 2 4096 1152 + new_N = N + if HW is None: + H = W = int(N ** 0.5) + else: + H, W = HW + qkv = self.qkv(x).reshape(B, N, 3, C) + + q, k, v = qkv.unbind(2) + q = self.q_norm(q) + k = self.k_norm(k) + + # KV compression + if self.sr_ratio > 1: + k, new_N = self.downsample_2d(k, H, W, self.sr_ratio, sampling=self.sampling) + v, new_N = self.downsample_2d(v, H, W, self.sr_ratio, sampling=self.sampling) + + q = q.reshape(B, N, self.num_heads, C // self.num_heads) + k = k.reshape(B, new_N, self.num_heads, C // self.num_heads) + v = v.reshape(B, new_N, self.num_heads, C // self.num_heads) + + if mask is not None: + raise NotImplementedError("Attn mask logic not added for self attention") + + # This is never called at the moment + # attn_bias = None + # if mask is not None: + # attn_bias = torch.zeros([B * self.num_heads, q.shape[1], k.shape[1]], dtype=q.dtype, device=q.device) + # attn_bias.masked_fill_(mask.squeeze(1).repeat(self.num_heads, 1, 1) == 0, float('-inf')) + + # attention 2 + q, k, v = map(lambda t: t.transpose(1, 2), (q, k, v),) + x = optimized_attention(q, k, v, self.num_heads, mask=None, skip_reshape=True) + + x = x.view(B, N, C) + x = self.proj(x) + return x + + +class FinalLayer(nn.Module): + """ + The final layer of PixArt. + """ + def __init__(self, hidden_size, patch_size, out_channels, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device) + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device) + ) + + def forward(self, x, c): + shift, scale = self.adaLN_modulation(c).chunk(2, dim=1) + x = modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + return x + +class T2IFinalLayer(nn.Module): + """ + The final layer of PixArt. + """ + def __init__(self, hidden_size, patch_size, out_channels, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device) + self.scale_shift_table = nn.Parameter(torch.randn(2, hidden_size) / hidden_size ** 0.5) + self.out_channels = out_channels + + def forward(self, x, t): + shift, scale = (self.scale_shift_table[None].to(dtype=x.dtype, device=x.device) + t[:, None]).chunk(2, dim=1) + x = t2i_modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + return x + + +class MaskFinalLayer(nn.Module): + """ + The final layer of PixArt. + """ + def __init__(self, final_hidden_size, c_emb_size, patch_size, out_channels, dtype=None, device=None, operations=None): + super().__init__() + self.norm_final = operations.LayerNorm(final_hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(final_hidden_size, patch_size * patch_size * out_channels, bias=True, dtype=dtype, device=device) + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(c_emb_size, 2 * final_hidden_size, bias=True, dtype=dtype, device=device) + ) + def forward(self, x, t): + shift, scale = self.adaLN_modulation(t).chunk(2, dim=1) + x = modulate(self.norm_final(x), shift, scale) + x = self.linear(x) + return x + + +class DecoderLayer(nn.Module): + """ + The final layer of PixArt. + """ + def __init__(self, hidden_size, decoder_hidden_size, dtype=None, device=None, operations=None): + super().__init__() + self.norm_decoder = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.linear = operations.Linear(hidden_size, decoder_hidden_size, bias=True, dtype=dtype, device=device) + self.adaLN_modulation = nn.Sequential( + nn.SiLU(), + operations.Linear(hidden_size, 2 * hidden_size, bias=True, dtype=dtype, device=device) + ) + def forward(self, x, t): + shift, scale = self.adaLN_modulation(t).chunk(2, dim=1) + x = modulate(self.norm_decoder(x), shift, scale) + x = self.linear(x) + return x + + +class SizeEmbedder(TimestepEmbedder): + """ + Embeds scalar timesteps into vector representations. + """ + def __init__(self, hidden_size, frequency_embedding_size=256, dtype=None, device=None, operations=None): + super().__init__(hidden_size=hidden_size, frequency_embedding_size=frequency_embedding_size, operations=operations) + self.mlp = nn.Sequential( + operations.Linear(frequency_embedding_size, hidden_size, bias=True, dtype=dtype, device=device), + nn.SiLU(), + operations.Linear(hidden_size, hidden_size, bias=True, dtype=dtype, device=device), + ) + self.frequency_embedding_size = frequency_embedding_size + self.outdim = hidden_size + + def forward(self, s, bs): + if s.ndim == 1: + s = s[:, None] + assert s.ndim == 2 + if s.shape[0] != bs: + s = s.repeat(bs//s.shape[0], 1) + assert s.shape[0] == bs + b, dims = s.shape[0], s.shape[1] + s = rearrange(s, "b d -> (b d)") + s_freq = timestep_embedding(s, self.frequency_embedding_size) + s_emb = self.mlp(s_freq.to(s.dtype)) + s_emb = rearrange(s_emb, "(b d) d2 -> b (d d2)", b=b, d=dims, d2=self.outdim) + return s_emb + + +class LabelEmbedder(nn.Module): + """ + Embeds class labels into vector representations. Also handles label dropout for classifier-free guidance. + """ + def __init__(self, num_classes, hidden_size, dropout_prob, dtype=None, device=None, operations=None): + super().__init__() + use_cfg_embedding = dropout_prob > 0 + self.embedding_table = operations.Embedding(num_classes + use_cfg_embedding, hidden_size, dtype=dtype, device=device), + self.num_classes = num_classes + self.dropout_prob = dropout_prob + + def token_drop(self, labels, force_drop_ids=None): + """ + Drops labels to enable classifier-free guidance. + """ + if force_drop_ids is None: + drop_ids = torch.rand(labels.shape[0]).cuda() < self.dropout_prob + else: + drop_ids = force_drop_ids == 1 + labels = torch.where(drop_ids, self.num_classes, labels) + return labels + + def forward(self, labels, train, force_drop_ids=None): + use_dropout = self.dropout_prob > 0 + if (train and use_dropout) or (force_drop_ids is not None): + labels = self.token_drop(labels, force_drop_ids) + embeddings = self.embedding_table(labels) + return embeddings + + +class CaptionEmbedder(nn.Module): + """ + Embeds class labels into vector representations. Also handles label dropout for classifier-free guidance. + """ + def __init__(self, in_channels, hidden_size, uncond_prob, act_layer=nn.GELU(approximate='tanh'), token_num=120, dtype=None, device=None, operations=None): + super().__init__() + self.y_proj = Mlp( + in_features=in_channels, hidden_features=hidden_size, out_features=hidden_size, act_layer=act_layer, + dtype=dtype, device=device, operations=operations, + ) + self.register_buffer("y_embedding", nn.Parameter(torch.randn(token_num, in_channels) / in_channels ** 0.5)) + self.uncond_prob = uncond_prob + + def token_drop(self, caption, force_drop_ids=None): + """ + Drops labels to enable classifier-free guidance. + """ + if force_drop_ids is None: + drop_ids = torch.rand(caption.shape[0]).cuda() < self.uncond_prob + else: + drop_ids = force_drop_ids == 1 + caption = torch.where(drop_ids[:, None, None, None], self.y_embedding, caption) + return caption + + def forward(self, caption, train, force_drop_ids=None): + if train: + assert caption.shape[2:] == self.y_embedding.shape + use_dropout = self.uncond_prob > 0 + if (train and use_dropout) or (force_drop_ids is not None): + caption = self.token_drop(caption, force_drop_ids) + caption = self.y_proj(caption) + return caption + + +class CaptionEmbedderDoubleBr(nn.Module): + """ + Embeds class labels into vector representations. Also handles label dropout for classifier-free guidance. + """ + def __init__(self, in_channels, hidden_size, uncond_prob, act_layer=nn.GELU(approximate='tanh'), token_num=120, dtype=None, device=None, operations=None): + super().__init__() + self.proj = Mlp( + in_features=in_channels, hidden_features=hidden_size, out_features=hidden_size, act_layer=act_layer, + dtype=dtype, device=device, operations=operations, + ) + self.embedding = nn.Parameter(torch.randn(1, in_channels) / 10 ** 0.5) + self.y_embedding = nn.Parameter(torch.randn(token_num, in_channels) / 10 ** 0.5) + self.uncond_prob = uncond_prob + + def token_drop(self, global_caption, caption, force_drop_ids=None): + """ + Drops labels to enable classifier-free guidance. + """ + if force_drop_ids is None: + drop_ids = torch.rand(global_caption.shape[0]).cuda() < self.uncond_prob + else: + drop_ids = force_drop_ids == 1 + global_caption = torch.where(drop_ids[:, None], self.embedding, global_caption) + caption = torch.where(drop_ids[:, None, None, None], self.y_embedding, caption) + return global_caption, caption + + def forward(self, caption, train, force_drop_ids=None): + assert caption.shape[2: ] == self.y_embedding.shape + global_caption = caption.mean(dim=2).squeeze() + use_dropout = self.uncond_prob > 0 + if (train and use_dropout) or (force_drop_ids is not None): + global_caption, caption = self.token_drop(global_caption, caption, force_drop_ids) + y_embed = self.proj(global_caption) + return y_embed, caption diff --git a/comfy/ldm/pixart/pixartms.py b/comfy/ldm/pixart/pixartms.py new file mode 100644 index 0000000000000000000000000000000000000000..d1ac49d84c554f1531427dea251dd6d2ea3e0dc7 --- /dev/null +++ b/comfy/ldm/pixart/pixartms.py @@ -0,0 +1,256 @@ +# Based on: +# https://github.com/PixArt-alpha/PixArt-alpha [Apache 2.0 license] +# https://github.com/PixArt-alpha/PixArt-sigma [Apache 2.0 license] +import torch +import torch.nn as nn + +from .blocks import ( + t2i_modulate, + CaptionEmbedder, + AttentionKVCompress, + MultiHeadCrossAttention, + T2IFinalLayer, + SizeEmbedder, +) +from comfy.ldm.modules.diffusionmodules.mmdit import TimestepEmbedder, PatchEmbed, Mlp, get_1d_sincos_pos_embed_from_grid_torch + + +def get_2d_sincos_pos_embed_torch(embed_dim, w, h, pe_interpolation=1.0, base_size=16, device=None, dtype=torch.float32): + grid_h, grid_w = torch.meshgrid( + torch.arange(h, device=device, dtype=dtype) / (h/base_size) / pe_interpolation, + torch.arange(w, device=device, dtype=dtype) / (w/base_size) / pe_interpolation, + indexing='ij' + ) + emb_h = get_1d_sincos_pos_embed_from_grid_torch(embed_dim // 2, grid_h, device=device, dtype=dtype) + emb_w = get_1d_sincos_pos_embed_from_grid_torch(embed_dim // 2, grid_w, device=device, dtype=dtype) + emb = torch.cat([emb_w, emb_h], dim=1) # (H*W, D) + return emb + +class PixArtMSBlock(nn.Module): + """ + A PixArt block with adaptive layer norm zero (adaLN-Zero) conditioning. + """ + def __init__(self, hidden_size, num_heads, mlp_ratio=4.0, drop_path=0., input_size=None, + sampling=None, sr_ratio=1, qk_norm=False, dtype=None, device=None, operations=None, **block_kwargs): + super().__init__() + self.hidden_size = hidden_size + self.norm1 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + self.attn = AttentionKVCompress( + hidden_size, num_heads=num_heads, qkv_bias=True, sampling=sampling, sr_ratio=sr_ratio, + qk_norm=qk_norm, dtype=dtype, device=device, operations=operations, **block_kwargs + ) + self.cross_attn = MultiHeadCrossAttention( + hidden_size, num_heads, dtype=dtype, device=device, operations=operations, **block_kwargs + ) + self.norm2 = operations.LayerNorm(hidden_size, elementwise_affine=False, eps=1e-6, dtype=dtype, device=device) + # to be compatible with lower version pytorch + approx_gelu = lambda: nn.GELU(approximate="tanh") + self.mlp = Mlp( + in_features=hidden_size, hidden_features=int(hidden_size * mlp_ratio), act_layer=approx_gelu, + dtype=dtype, device=device, operations=operations + ) + self.scale_shift_table = nn.Parameter(torch.randn(6, hidden_size) / hidden_size ** 0.5) + + def forward(self, x, y, t, mask=None, HW=None, **kwargs): + B, N, C = x.shape + + shift_msa, scale_msa, gate_msa, shift_mlp, scale_mlp, gate_mlp = (self.scale_shift_table[None].to(dtype=x.dtype, device=x.device) + t.reshape(B, 6, -1)).chunk(6, dim=1) + x = x + (gate_msa * self.attn(t2i_modulate(self.norm1(x), shift_msa, scale_msa), HW=HW)) + x = x + self.cross_attn(x, y, mask) + x = x + (gate_mlp * self.mlp(t2i_modulate(self.norm2(x), shift_mlp, scale_mlp))) + + return x + + +### Core PixArt Model ### +class PixArtMS(nn.Module): + """ + Diffusion model with a Transformer backbone. + """ + def __init__( + self, + input_size=32, + patch_size=2, + in_channels=4, + hidden_size=1152, + depth=28, + num_heads=16, + mlp_ratio=4.0, + class_dropout_prob=0.1, + learn_sigma=True, + pred_sigma=True, + drop_path: float = 0., + caption_channels=4096, + pe_interpolation=None, + pe_precision=None, + config=None, + model_max_length=120, + micro_condition=True, + qk_norm=False, + kv_compress_config=None, + dtype=None, + device=None, + operations=None, + **kwargs, + ): + nn.Module.__init__(self) + self.dtype = dtype + self.pred_sigma = pred_sigma + self.in_channels = in_channels + self.out_channels = in_channels * 2 if pred_sigma else in_channels + self.patch_size = patch_size + self.num_heads = num_heads + self.pe_interpolation = pe_interpolation + self.pe_precision = pe_precision + self.hidden_size = hidden_size + self.depth = depth + + approx_gelu = lambda: nn.GELU(approximate="tanh") + self.t_block = nn.Sequential( + nn.SiLU(), + operations.Linear(hidden_size, 6 * hidden_size, bias=True, dtype=dtype, device=device) + ) + self.x_embedder = PatchEmbed( + patch_size=patch_size, + in_chans=in_channels, + embed_dim=hidden_size, + bias=True, + dtype=dtype, + device=device, + operations=operations + ) + self.t_embedder = TimestepEmbedder( + hidden_size, dtype=dtype, device=device, operations=operations, + ) + self.y_embedder = CaptionEmbedder( + in_channels=caption_channels, hidden_size=hidden_size, uncond_prob=class_dropout_prob, + act_layer=approx_gelu, token_num=model_max_length, + dtype=dtype, device=device, operations=operations, + ) + + self.micro_conditioning = micro_condition + if self.micro_conditioning: + self.csize_embedder = SizeEmbedder(hidden_size//3, dtype=dtype, device=device, operations=operations) + self.ar_embedder = SizeEmbedder(hidden_size//3, dtype=dtype, device=device, operations=operations) + + # For fixed sin-cos embedding: + # num_patches = (input_size // patch_size) * (input_size // patch_size) + # self.base_size = input_size // self.patch_size + # self.register_buffer("pos_embed", torch.zeros(1, num_patches, hidden_size)) + + drop_path = [x.item() for x in torch.linspace(0, drop_path, depth)] # stochastic depth decay rule + if kv_compress_config is None: + kv_compress_config = { + 'sampling': None, + 'scale_factor': 1, + 'kv_compress_layer': [], + } + self.blocks = nn.ModuleList([ + PixArtMSBlock( + hidden_size, num_heads, mlp_ratio=mlp_ratio, drop_path=drop_path[i], + sampling=kv_compress_config['sampling'], + sr_ratio=int(kv_compress_config['scale_factor']) if i in kv_compress_config['kv_compress_layer'] else 1, + qk_norm=qk_norm, + dtype=dtype, + device=device, + operations=operations, + ) + for i in range(depth) + ]) + self.final_layer = T2IFinalLayer( + hidden_size, patch_size, self.out_channels, dtype=dtype, device=device, operations=operations + ) + + def forward_orig(self, x, timestep, y, mask=None, c_size=None, c_ar=None, **kwargs): + """ + Original forward pass of PixArt. + x: (N, C, H, W) tensor of spatial inputs (images or latent representations of images) + t: (N,) tensor of diffusion timesteps + y: (N, 1, 120, C) conditioning + ar: (N, 1): aspect ratio + cs: (N ,2) size conditioning for height/width + """ + B, C, H, W = x.shape + c_res = (H + W) // 2 + pe_interpolation = self.pe_interpolation + if pe_interpolation is None or self.pe_precision is not None: + # calculate pe_interpolation on-the-fly + pe_interpolation = round(c_res / (512/8.0), self.pe_precision or 0) + + pos_embed = get_2d_sincos_pos_embed_torch( + self.hidden_size, + h=(H // self.patch_size), + w=(W // self.patch_size), + pe_interpolation=pe_interpolation, + base_size=((round(c_res / 64) * 64) // self.patch_size), + device=x.device, + dtype=x.dtype, + ).unsqueeze(0) + + x = self.x_embedder(x) + pos_embed # (N, T, D), where T = H * W / patch_size ** 2 + t = self.t_embedder(timestep, x.dtype) # (N, D) + + if self.micro_conditioning and (c_size is not None and c_ar is not None): + bs = x.shape[0] + c_size = self.csize_embedder(c_size, bs) # (N, D) + c_ar = self.ar_embedder(c_ar, bs) # (N, D) + t = t + torch.cat([c_size, c_ar], dim=1) + + t0 = self.t_block(t) + y = self.y_embedder(y, self.training) # (N, D) + + if mask is not None: + if mask.shape[0] != y.shape[0]: + mask = mask.repeat(y.shape[0] // mask.shape[0], 1) + mask = mask.squeeze(1).squeeze(1) + y = y.squeeze(1).masked_select(mask.unsqueeze(-1) != 0).view(1, -1, x.shape[-1]) + y_lens = mask.sum(dim=1).tolist() + else: + y_lens = None + y = y.squeeze(1).view(1, -1, x.shape[-1]) + for block in self.blocks: + x = block(x, y, t0, y_lens, (H, W), **kwargs) # (N, T, D) + + x = self.final_layer(x, t) # (N, T, patch_size ** 2 * out_channels) + x = self.unpatchify(x, H, W) # (N, out_channels, H, W) + + return x + + def forward(self, x, timesteps, context, c_size=None, c_ar=None, **kwargs): + B, C, H, W = x.shape + + # Fallback for missing microconds + if self.micro_conditioning: + if c_size is None: + c_size = torch.tensor([H*8, W*8], dtype=x.dtype, device=x.device).repeat(B, 1) + + if c_ar is None: + c_ar = torch.tensor([H/W], dtype=x.dtype, device=x.device).repeat(B, 1) + + ## Still accepts the input w/o that dim but returns garbage + if len(context.shape) == 3: + context = context.unsqueeze(1) + + ## run original forward pass + out = self.forward_orig(x, timesteps, context, c_size=c_size, c_ar=c_ar) + + ## only return EPS + if self.pred_sigma: + return out[:, :self.in_channels] + return out + + def unpatchify(self, x, h, w): + """ + x: (N, T, patch_size**2 * C) + imgs: (N, H, W, C) + """ + c = self.out_channels + p = self.x_embedder.patch_size[0] + h = h // self.patch_size + w = w // self.patch_size + assert h * w == x.shape[1] + + x = x.reshape(shape=(x.shape[0], h, w, p, p, c)) + x = torch.einsum('nhwpqc->nchpwq', x) + imgs = x.reshape(shape=(x.shape[0], c, h * p, w * p)) + return imgs diff --git a/comfy/ldm/qwen_image/controlnet.py b/comfy/ldm/qwen_image/controlnet.py new file mode 100644 index 0000000000000000000000000000000000000000..92ac3cf0afd6518df1106b1acb9b80a935412ef5 --- /dev/null +++ b/comfy/ldm/qwen_image/controlnet.py @@ -0,0 +1,77 @@ +import torch +import math + +from .model import QwenImageTransformer2DModel + + +class QwenImageControlNetModel(QwenImageTransformer2DModel): + def __init__( + self, + extra_condition_channels=0, + dtype=None, + device=None, + operations=None, + **kwargs + ): + super().__init__(final_layer=False, dtype=dtype, device=device, operations=operations, **kwargs) + self.main_model_double = 60 + + # controlnet_blocks + self.controlnet_blocks = torch.nn.ModuleList([]) + for _ in range(len(self.transformer_blocks)): + self.controlnet_blocks.append(operations.Linear(self.inner_dim, self.inner_dim, device=device, dtype=dtype)) + self.controlnet_x_embedder = operations.Linear(self.in_channels + extra_condition_channels, self.inner_dim, device=device, dtype=dtype) + + def forward( + self, + x, + timesteps, + context, + attention_mask=None, + guidance: torch.Tensor = None, + ref_latents=None, + hint=None, + transformer_options={}, + **kwargs + ): + timestep = timesteps + encoder_hidden_states = context + encoder_hidden_states_mask = attention_mask + + hidden_states, img_ids, orig_shape = self.process_img(x) + hint, _, _ = self.process_img(hint) + + txt_start = round(max(((x.shape[-1] + (self.patch_size // 2)) // self.patch_size) // 2, ((x.shape[-2] + (self.patch_size // 2)) // self.patch_size) // 2)) + txt_ids = torch.arange(txt_start, txt_start + context.shape[1], device=x.device).reshape(1, -1, 1).repeat(x.shape[0], 1, 3) + ids = torch.cat((txt_ids, img_ids), dim=1) + image_rotary_emb = self.pe_embedder(ids).squeeze(1).unsqueeze(2).to(x.dtype) + del ids, txt_ids, img_ids + + hidden_states = self.img_in(hidden_states) + self.controlnet_x_embedder(hint) + encoder_hidden_states = self.txt_norm(encoder_hidden_states) + encoder_hidden_states = self.txt_in(encoder_hidden_states) + + if guidance is not None: + guidance = guidance * 1000 + + temb = ( + self.time_text_embed(timestep, hidden_states) + if guidance is None + else self.time_text_embed(timestep, guidance, hidden_states) + ) + + repeat = math.ceil(self.main_model_double / len(self.controlnet_blocks)) + + controlnet_block_samples = () + for i, block in enumerate(self.transformer_blocks): + encoder_hidden_states, hidden_states = block( + hidden_states=hidden_states, + encoder_hidden_states=encoder_hidden_states, + encoder_hidden_states_mask=encoder_hidden_states_mask, + temb=temb, + image_rotary_emb=image_rotary_emb, + ) + + controlnet_block_samples = controlnet_block_samples + (self.controlnet_blocks[i](hidden_states),) * repeat + + return {"input": controlnet_block_samples[:self.main_model_double]} diff --git a/comfy/ldm/qwen_image/model.py b/comfy/ldm/qwen_image/model.py new file mode 100644 index 0000000000000000000000000000000000000000..b9f60c2b7a485281695d524ac0e0d720aac8de2d --- /dev/null +++ b/comfy/ldm/qwen_image/model.py @@ -0,0 +1,473 @@ +# https://github.com/QwenLM/Qwen-Image (Apache 2.0) +import torch +import torch.nn as nn +import torch.nn.functional as F +from typing import Optional, Tuple +from einops import repeat + +from comfy.ldm.lightricks.model import TimestepEmbedding, Timesteps +from comfy.ldm.modules.attention import optimized_attention_masked +from comfy.ldm.flux.layers import EmbedND +import comfy.ldm.common_dit +import comfy.patcher_extension + +class GELU(nn.Module): + def __init__(self, dim_in: int, dim_out: int, approximate: str = "none", bias: bool = True, dtype=None, device=None, operations=None): + super().__init__() + self.proj = operations.Linear(dim_in, dim_out, bias=bias, dtype=dtype, device=device) + self.approximate = approximate + + def forward(self, hidden_states): + hidden_states = self.proj(hidden_states) + hidden_states = F.gelu(hidden_states, approximate=self.approximate) + return hidden_states + + +class FeedForward(nn.Module): + def __init__( + self, + dim: int, + dim_out: Optional[int] = None, + mult: int = 4, + dropout: float = 0.0, + inner_dim=None, + bias: bool = True, + dtype=None, device=None, operations=None + ): + super().__init__() + if inner_dim is None: + inner_dim = int(dim * mult) + dim_out = dim_out if dim_out is not None else dim + + self.net = nn.ModuleList([]) + self.net.append(GELU(dim, inner_dim, approximate="tanh", bias=bias, dtype=dtype, device=device, operations=operations)) + self.net.append(nn.Dropout(dropout)) + self.net.append(operations.Linear(inner_dim, dim_out, bias=bias, dtype=dtype, device=device)) + + def forward(self, hidden_states: torch.Tensor, *args, **kwargs) -> torch.Tensor: + for module in self.net: + hidden_states = module(hidden_states) + return hidden_states + + +def apply_rotary_emb(x, freqs_cis): + if x.shape[1] == 0: + return x + + t_ = x.reshape(*x.shape[:-1], -1, 1, 2) + t_out = freqs_cis[..., 0] * t_[..., 0] + freqs_cis[..., 1] * t_[..., 1] + return t_out.reshape(*x.shape) + + +class QwenTimestepProjEmbeddings(nn.Module): + def __init__(self, embedding_dim, pooled_projection_dim, dtype=None, device=None, operations=None): + super().__init__() + self.time_proj = Timesteps(num_channels=256, flip_sin_to_cos=True, downscale_freq_shift=0, scale=1000) + self.timestep_embedder = TimestepEmbedding( + in_channels=256, + time_embed_dim=embedding_dim, + dtype=dtype, + device=device, + operations=operations + ) + + def forward(self, timestep, hidden_states): + timesteps_proj = self.time_proj(timestep) + timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=hidden_states.dtype)) + return timesteps_emb + + +class Attention(nn.Module): + def __init__( + self, + query_dim: int, + dim_head: int = 64, + heads: int = 8, + dropout: float = 0.0, + bias: bool = False, + eps: float = 1e-5, + out_bias: bool = True, + out_dim: int = None, + out_context_dim: int = None, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.inner_dim = out_dim if out_dim is not None else dim_head * heads + self.inner_kv_dim = self.inner_dim + self.heads = heads + self.dim_head = dim_head + self.out_dim = out_dim if out_dim is not None else query_dim + self.out_context_dim = out_context_dim if out_context_dim is not None else query_dim + self.dropout = dropout + + # Q/K normalization + self.norm_q = operations.RMSNorm(dim_head, eps=eps, elementwise_affine=True, dtype=dtype, device=device) + self.norm_k = operations.RMSNorm(dim_head, eps=eps, elementwise_affine=True, dtype=dtype, device=device) + self.norm_added_q = operations.RMSNorm(dim_head, eps=eps, dtype=dtype, device=device) + self.norm_added_k = operations.RMSNorm(dim_head, eps=eps, dtype=dtype, device=device) + + # Image stream projections + self.to_q = operations.Linear(query_dim, self.inner_dim, bias=bias, dtype=dtype, device=device) + self.to_k = operations.Linear(query_dim, self.inner_kv_dim, bias=bias, dtype=dtype, device=device) + self.to_v = operations.Linear(query_dim, self.inner_kv_dim, bias=bias, dtype=dtype, device=device) + + # Text stream projections + self.add_q_proj = operations.Linear(query_dim, self.inner_dim, bias=bias, dtype=dtype, device=device) + self.add_k_proj = operations.Linear(query_dim, self.inner_kv_dim, bias=bias, dtype=dtype, device=device) + self.add_v_proj = operations.Linear(query_dim, self.inner_kv_dim, bias=bias, dtype=dtype, device=device) + + # Output projections + self.to_out = nn.ModuleList([ + operations.Linear(self.inner_dim, self.out_dim, bias=out_bias, dtype=dtype, device=device), + nn.Dropout(dropout) + ]) + self.to_add_out = operations.Linear(self.inner_dim, self.out_context_dim, bias=out_bias, dtype=dtype, device=device) + + def forward( + self, + hidden_states: torch.FloatTensor, # Image stream + encoder_hidden_states: torch.FloatTensor = None, # Text stream + encoder_hidden_states_mask: torch.FloatTensor = None, + attention_mask: Optional[torch.FloatTensor] = None, + image_rotary_emb: Optional[torch.Tensor] = None, + transformer_options={}, + ) -> Tuple[torch.Tensor, torch.Tensor]: + seq_txt = encoder_hidden_states.shape[1] + + img_query = self.to_q(hidden_states).unflatten(-1, (self.heads, -1)) + img_key = self.to_k(hidden_states).unflatten(-1, (self.heads, -1)) + img_value = self.to_v(hidden_states).unflatten(-1, (self.heads, -1)) + + txt_query = self.add_q_proj(encoder_hidden_states).unflatten(-1, (self.heads, -1)) + txt_key = self.add_k_proj(encoder_hidden_states).unflatten(-1, (self.heads, -1)) + txt_value = self.add_v_proj(encoder_hidden_states).unflatten(-1, (self.heads, -1)) + + img_query = self.norm_q(img_query) + img_key = self.norm_k(img_key) + txt_query = self.norm_added_q(txt_query) + txt_key = self.norm_added_k(txt_key) + + joint_query = torch.cat([txt_query, img_query], dim=1) + joint_key = torch.cat([txt_key, img_key], dim=1) + joint_value = torch.cat([txt_value, img_value], dim=1) + + joint_query = apply_rotary_emb(joint_query, image_rotary_emb) + joint_key = apply_rotary_emb(joint_key, image_rotary_emb) + + joint_query = joint_query.flatten(start_dim=2) + joint_key = joint_key.flatten(start_dim=2) + joint_value = joint_value.flatten(start_dim=2) + + joint_hidden_states = optimized_attention_masked(joint_query, joint_key, joint_value, self.heads, attention_mask, transformer_options=transformer_options) + + txt_attn_output = joint_hidden_states[:, :seq_txt, :] + img_attn_output = joint_hidden_states[:, seq_txt:, :] + + img_attn_output = self.to_out[0](img_attn_output) + img_attn_output = self.to_out[1](img_attn_output) + txt_attn_output = self.to_add_out(txt_attn_output) + + return img_attn_output, txt_attn_output + + +class QwenImageTransformerBlock(nn.Module): + def __init__( + self, + dim: int, + num_attention_heads: int, + attention_head_dim: int, + eps: float = 1e-6, + dtype=None, + device=None, + operations=None + ): + super().__init__() + self.dim = dim + self.num_attention_heads = num_attention_heads + self.attention_head_dim = attention_head_dim + + self.img_mod = nn.Sequential( + nn.SiLU(), + operations.Linear(dim, 6 * dim, bias=True, dtype=dtype, device=device), + ) + self.img_norm1 = operations.LayerNorm(dim, elementwise_affine=False, eps=eps, dtype=dtype, device=device) + self.img_norm2 = operations.LayerNorm(dim, elementwise_affine=False, eps=eps, dtype=dtype, device=device) + self.img_mlp = FeedForward(dim=dim, dim_out=dim, dtype=dtype, device=device, operations=operations) + + self.txt_mod = nn.Sequential( + nn.SiLU(), + operations.Linear(dim, 6 * dim, bias=True, dtype=dtype, device=device), + ) + self.txt_norm1 = operations.LayerNorm(dim, elementwise_affine=False, eps=eps, dtype=dtype, device=device) + self.txt_norm2 = operations.LayerNorm(dim, elementwise_affine=False, eps=eps, dtype=dtype, device=device) + self.txt_mlp = FeedForward(dim=dim, dim_out=dim, dtype=dtype, device=device, operations=operations) + + self.attn = Attention( + query_dim=dim, + dim_head=attention_head_dim, + heads=num_attention_heads, + out_dim=dim, + bias=True, + eps=eps, + dtype=dtype, + device=device, + operations=operations, + ) + + def _modulate(self, x: torch.Tensor, mod_params: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: + shift, scale, gate = torch.chunk(mod_params, 3, dim=-1) + return torch.addcmul(shift.unsqueeze(1), x, 1 + scale.unsqueeze(1)), gate.unsqueeze(1) + + def forward( + self, + hidden_states: torch.Tensor, + encoder_hidden_states: torch.Tensor, + encoder_hidden_states_mask: torch.Tensor, + temb: torch.Tensor, + image_rotary_emb: Optional[Tuple[torch.Tensor, torch.Tensor]] = None, + transformer_options={}, + ) -> Tuple[torch.Tensor, torch.Tensor]: + img_mod_params = self.img_mod(temb) + txt_mod_params = self.txt_mod(temb) + img_mod1, img_mod2 = img_mod_params.chunk(2, dim=-1) + txt_mod1, txt_mod2 = txt_mod_params.chunk(2, dim=-1) + + img_normed = self.img_norm1(hidden_states) + img_modulated, img_gate1 = self._modulate(img_normed, img_mod1) + txt_normed = self.txt_norm1(encoder_hidden_states) + txt_modulated, txt_gate1 = self._modulate(txt_normed, txt_mod1) + + img_attn_output, txt_attn_output = self.attn( + hidden_states=img_modulated, + encoder_hidden_states=txt_modulated, + encoder_hidden_states_mask=encoder_hidden_states_mask, + image_rotary_emb=image_rotary_emb, + transformer_options=transformer_options, + ) + + hidden_states = hidden_states + img_gate1 * img_attn_output + encoder_hidden_states = encoder_hidden_states + txt_gate1 * txt_attn_output + + img_normed2 = self.img_norm2(hidden_states) + img_modulated2, img_gate2 = self._modulate(img_normed2, img_mod2) + hidden_states = torch.addcmul(hidden_states, img_gate2, self.img_mlp(img_modulated2)) + + txt_normed2 = self.txt_norm2(encoder_hidden_states) + txt_modulated2, txt_gate2 = self._modulate(txt_normed2, txt_mod2) + encoder_hidden_states = torch.addcmul(encoder_hidden_states, txt_gate2, self.txt_mlp(txt_modulated2)) + + return encoder_hidden_states, hidden_states + + +class LastLayer(nn.Module): + def __init__( + self, + embedding_dim: int, + conditioning_embedding_dim: int, + elementwise_affine=False, + eps=1e-6, + bias=True, + dtype=None, device=None, operations=None + ): + super().__init__() + self.silu = nn.SiLU() + self.linear = operations.Linear(conditioning_embedding_dim, embedding_dim * 2, bias=bias, dtype=dtype, device=device) + self.norm = operations.LayerNorm(embedding_dim, eps, elementwise_affine=False, bias=bias, dtype=dtype, device=device) + + def forward(self, x: torch.Tensor, conditioning_embedding: torch.Tensor) -> torch.Tensor: + emb = self.linear(self.silu(conditioning_embedding)) + scale, shift = torch.chunk(emb, 2, dim=1) + x = torch.addcmul(shift[:, None, :], self.norm(x), (1 + scale)[:, None, :]) + return x + + +class QwenImageTransformer2DModel(nn.Module): + def __init__( + self, + patch_size: int = 2, + in_channels: int = 64, + out_channels: Optional[int] = 16, + num_layers: int = 60, + attention_head_dim: int = 128, + num_attention_heads: int = 24, + joint_attention_dim: int = 3584, + pooled_projection_dim: int = 768, + guidance_embeds: bool = False, + axes_dims_rope: Tuple[int, int, int] = (16, 56, 56), + image_model=None, + final_layer=True, + dtype=None, + device=None, + operations=None, + ): + super().__init__() + self.dtype = dtype + self.patch_size = patch_size + self.in_channels = in_channels + self.out_channels = out_channels or in_channels + self.inner_dim = num_attention_heads * attention_head_dim + + self.pe_embedder = EmbedND(dim=attention_head_dim, theta=10000, axes_dim=list(axes_dims_rope)) + + self.time_text_embed = QwenTimestepProjEmbeddings( + embedding_dim=self.inner_dim, + pooled_projection_dim=pooled_projection_dim, + dtype=dtype, + device=device, + operations=operations + ) + + self.txt_norm = operations.RMSNorm(joint_attention_dim, eps=1e-6, dtype=dtype, device=device) + self.img_in = operations.Linear(in_channels, self.inner_dim, dtype=dtype, device=device) + self.txt_in = operations.Linear(joint_attention_dim, self.inner_dim, dtype=dtype, device=device) + + self.transformer_blocks = nn.ModuleList([ + QwenImageTransformerBlock( + dim=self.inner_dim, + num_attention_heads=num_attention_heads, + attention_head_dim=attention_head_dim, + dtype=dtype, + device=device, + operations=operations + ) + for _ in range(num_layers) + ]) + + if final_layer: + self.norm_out = LastLayer(self.inner_dim, self.inner_dim, dtype=dtype, device=device, operations=operations) + self.proj_out = operations.Linear(self.inner_dim, patch_size * patch_size * self.out_channels, bias=True, dtype=dtype, device=device) + + def process_img(self, x, index=0, h_offset=0, w_offset=0): + bs, c, t, h, w = x.shape + patch_size = self.patch_size + hidden_states = comfy.ldm.common_dit.pad_to_patch_size(x, (1, self.patch_size, self.patch_size)) + orig_shape = hidden_states.shape + hidden_states = hidden_states.view(orig_shape[0], orig_shape[1], orig_shape[-2] // 2, 2, orig_shape[-1] // 2, 2) + hidden_states = hidden_states.permute(0, 2, 4, 1, 3, 5) + hidden_states = hidden_states.reshape(orig_shape[0], (orig_shape[-2] // 2) * (orig_shape[-1] // 2), orig_shape[1] * 4) + h_len = ((h + (patch_size // 2)) // patch_size) + w_len = ((w + (patch_size // 2)) // patch_size) + + h_offset = ((h_offset + (patch_size // 2)) // patch_size) + w_offset = ((w_offset + (patch_size // 2)) // patch_size) + + img_ids = torch.zeros((h_len, w_len, 3), device=x.device) + img_ids[:, :, 0] = img_ids[:, :, 1] + index + img_ids[:, :, 1] = img_ids[:, :, 1] + torch.linspace(h_offset, h_len - 1 + h_offset, steps=h_len, device=x.device, dtype=x.dtype).unsqueeze(1) - (h_len // 2) + img_ids[:, :, 2] = img_ids[:, :, 2] + torch.linspace(w_offset, w_len - 1 + w_offset, steps=w_len, device=x.device, dtype=x.dtype).unsqueeze(0) - (w_len // 2) + return hidden_states, repeat(img_ids, "h w c -> b (h w) c", b=bs), orig_shape + + def forward(self, x, timestep, context, attention_mask=None, guidance=None, ref_latents=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, attention_mask, guidance, ref_latents, transformer_options, **kwargs) + + def _forward( + self, + x, + timesteps, + context, + attention_mask=None, + guidance: torch.Tensor = None, + ref_latents=None, + transformer_options={}, + control=None, + **kwargs + ): + timestep = timesteps + encoder_hidden_states = context + encoder_hidden_states_mask = attention_mask + + hidden_states, img_ids, orig_shape = self.process_img(x) + num_embeds = hidden_states.shape[1] + + if ref_latents is not None: + h = 0 + w = 0 + index = 0 + index_ref_method = kwargs.get("ref_latents_method", "index") == "index" + for ref in ref_latents: + if index_ref_method: + index += 1 + h_offset = 0 + w_offset = 0 + else: + index = 1 + h_offset = 0 + w_offset = 0 + if ref.shape[-2] + h > ref.shape[-1] + w: + w_offset = w + else: + h_offset = h + h = max(h, ref.shape[-2] + h_offset) + w = max(w, ref.shape[-1] + w_offset) + + kontext, kontext_ids, _ = self.process_img(ref, index=index, h_offset=h_offset, w_offset=w_offset) + hidden_states = torch.cat([hidden_states, kontext], dim=1) + img_ids = torch.cat([img_ids, kontext_ids], dim=1) + + txt_start = round(max(((x.shape[-1] + (self.patch_size // 2)) // self.patch_size) // 2, ((x.shape[-2] + (self.patch_size // 2)) // self.patch_size) // 2)) + txt_ids = torch.arange(txt_start, txt_start + context.shape[1], device=x.device).reshape(1, -1, 1).repeat(x.shape[0], 1, 3) + ids = torch.cat((txt_ids, img_ids), dim=1) + image_rotary_emb = self.pe_embedder(ids).squeeze(1).unsqueeze(2).to(x.dtype) + del ids, txt_ids, img_ids + + hidden_states = self.img_in(hidden_states) + encoder_hidden_states = self.txt_norm(encoder_hidden_states) + encoder_hidden_states = self.txt_in(encoder_hidden_states) + + if guidance is not None: + guidance = guidance * 1000 + + temb = ( + self.time_text_embed(timestep, hidden_states) + if guidance is None + else self.time_text_embed(timestep, guidance, hidden_states) + ) + + patches_replace = transformer_options.get("patches_replace", {}) + patches = transformer_options.get("patches", {}) + blocks_replace = patches_replace.get("dit", {}) + + for i, block in enumerate(self.transformer_blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["txt"], out["img"] = block(hidden_states=args["img"], encoder_hidden_states=args["txt"], encoder_hidden_states_mask=encoder_hidden_states_mask, temb=args["vec"], image_rotary_emb=args["pe"], transformer_options=args["transformer_options"]) + return out + out = blocks_replace[("double_block", i)]({"img": hidden_states, "txt": encoder_hidden_states, "vec": temb, "pe": image_rotary_emb, "transformer_options": transformer_options}, {"original_block": block_wrap}) + hidden_states = out["img"] + encoder_hidden_states = out["txt"] + else: + encoder_hidden_states, hidden_states = block( + hidden_states=hidden_states, + encoder_hidden_states=encoder_hidden_states, + encoder_hidden_states_mask=encoder_hidden_states_mask, + temb=temb, + image_rotary_emb=image_rotary_emb, + transformer_options=transformer_options, + ) + + if "double_block" in patches: + for p in patches["double_block"]: + out = p({"img": hidden_states, "txt": encoder_hidden_states, "x": x, "block_index": i, "transformer_options": transformer_options}) + hidden_states = out["img"] + encoder_hidden_states = out["txt"] + + if control is not None: # Controlnet + control_i = control.get("input") + if i < len(control_i): + add = control_i[i] + if add is not None: + hidden_states[:, :add.shape[1]] += add + + hidden_states = self.norm_out(hidden_states, temb) + hidden_states = self.proj_out(hidden_states) + + hidden_states = hidden_states[:, :num_embeds].view(orig_shape[0], orig_shape[-2] // 2, orig_shape[-1] // 2, orig_shape[1], 2, 2) + hidden_states = hidden_states.permute(0, 3, 1, 4, 2, 5) + return hidden_states.reshape(orig_shape)[:, :, :, :x.shape[-2], :x.shape[-1]] diff --git a/comfy/ldm/util.py b/comfy/ldm/util.py new file mode 100644 index 0000000000000000000000000000000000000000..30b4b4721056216ee817e7d54d0bca9e09b79098 --- /dev/null +++ b/comfy/ldm/util.py @@ -0,0 +1,197 @@ +import importlib +import logging + +import torch +from torch import optim +import numpy as np + +from inspect import isfunction +from PIL import Image, ImageDraw, ImageFont + + +def log_txt_as_img(wh, xc, size=10): + # wh a tuple of (width, height) + # xc a list of captions to plot + b = len(xc) + txts = list() + for bi in range(b): + txt = Image.new("RGB", wh, color="white") + draw = ImageDraw.Draw(txt) + font = ImageFont.truetype('data/DejaVuSans.ttf', size=size) + nc = int(40 * (wh[0] / 256)) + lines = "\n".join(xc[bi][start:start + nc] for start in range(0, len(xc[bi]), nc)) + + try: + draw.text((0, 0), lines, fill="black", font=font) + except UnicodeEncodeError: + logging.warning("Cant encode string for logging. Skipping.") + + txt = np.array(txt).transpose(2, 0, 1) / 127.5 - 1.0 + txts.append(txt) + txts = np.stack(txts) + txts = torch.tensor(txts) + return txts + + +def ismap(x): + if not isinstance(x, torch.Tensor): + return False + return (len(x.shape) == 4) and (x.shape[1] > 3) + + +def isimage(x): + if not isinstance(x,torch.Tensor): + return False + return (len(x.shape) == 4) and (x.shape[1] == 3 or x.shape[1] == 1) + + +def exists(x): + return x is not None + + +def default(val, d): + if exists(val): + return val + return d() if isfunction(d) else d + + +def mean_flat(tensor): + """ + https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/nn.py#L86 + Take the mean over all non-batch dimensions. + """ + return tensor.mean(dim=list(range(1, len(tensor.shape)))) + + +def count_params(model, verbose=False): + total_params = sum(p.numel() for p in model.parameters()) + if verbose: + logging.info(f"{model.__class__.__name__} has {total_params*1.e-6:.2f} M params.") + return total_params + + +def instantiate_from_config(config): + if not "target" in config: + if config == '__is_first_stage__': + return None + elif config == "__is_unconditional__": + return None + raise KeyError("Expected key `target` to instantiate.") + return get_obj_from_str(config["target"])(**config.get("params", dict())) + + +def get_obj_from_str(string, reload=False): + module, cls = string.rsplit(".", 1) + if reload: + module_imp = importlib.import_module(module) + importlib.reload(module_imp) + return getattr(importlib.import_module(module, package=None), cls) + + +class AdamWwithEMAandWings(optim.Optimizer): + # credit to https://gist.github.com/crowsonkb/65f7265353f403714fce3b2595e0b298 + def __init__(self, params, lr=1.e-3, betas=(0.9, 0.999), eps=1.e-8, # TODO: check hyperparameters before using + weight_decay=1.e-2, amsgrad=False, ema_decay=0.9999, # ema decay to match previous code + ema_power=1., param_names=()): + """AdamW that saves EMA versions of the parameters.""" + if not 0.0 <= lr: + raise ValueError("Invalid learning rate: {}".format(lr)) + if not 0.0 <= eps: + raise ValueError("Invalid epsilon value: {}".format(eps)) + if not 0.0 <= betas[0] < 1.0: + raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) + if not 0.0 <= betas[1] < 1.0: + raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) + if not 0.0 <= weight_decay: + raise ValueError("Invalid weight_decay value: {}".format(weight_decay)) + if not 0.0 <= ema_decay <= 1.0: + raise ValueError("Invalid ema_decay value: {}".format(ema_decay)) + defaults = dict(lr=lr, betas=betas, eps=eps, + weight_decay=weight_decay, amsgrad=amsgrad, ema_decay=ema_decay, + ema_power=ema_power, param_names=param_names) + super().__init__(params, defaults) + + def __setstate__(self, state): + super().__setstate__(state) + for group in self.param_groups: + group.setdefault('amsgrad', False) + + @torch.no_grad() + def step(self, closure=None): + """Performs a single optimization step. + Args: + closure (callable, optional): A closure that reevaluates the model + and returns the loss. + """ + loss = None + if closure is not None: + with torch.enable_grad(): + loss = closure() + + for group in self.param_groups: + params_with_grad = [] + grads = [] + exp_avgs = [] + exp_avg_sqs = [] + ema_params_with_grad = [] + max_exp_avg_sqs = [] + state_steps = [] + amsgrad = group['amsgrad'] + beta1, beta2 = group['betas'] + ema_decay = group['ema_decay'] + ema_power = group['ema_power'] + + for p in group['params']: + if p.grad is None: + continue + params_with_grad.append(p) + if p.grad.is_sparse: + raise RuntimeError('AdamW does not support sparse gradients') + grads.append(p.grad) + + state = self.state[p] + + # State initialization + if len(state) == 0: + state['step'] = 0 + # Exponential moving average of gradient values + state['exp_avg'] = torch.zeros_like(p, memory_format=torch.preserve_format) + # Exponential moving average of squared gradient values + state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format) + if amsgrad: + # Maintains max of all exp. moving avg. of sq. grad. values + state['max_exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format) + # Exponential moving average of parameter values + state['param_exp_avg'] = p.detach().float().clone() + + exp_avgs.append(state['exp_avg']) + exp_avg_sqs.append(state['exp_avg_sq']) + ema_params_with_grad.append(state['param_exp_avg']) + + if amsgrad: + max_exp_avg_sqs.append(state['max_exp_avg_sq']) + + # update the steps for each param group update + state['step'] += 1 + # record the step after step update + state_steps.append(state['step']) + + optim._functional.adamw(params_with_grad, + grads, + exp_avgs, + exp_avg_sqs, + max_exp_avg_sqs, + state_steps, + amsgrad=amsgrad, + beta1=beta1, + beta2=beta2, + lr=group['lr'], + weight_decay=group['weight_decay'], + eps=group['eps'], + maximize=False) + + cur_ema_decay = min(ema_decay, 1 - state['step'] ** -ema_power) + for param, ema_param in zip(params_with_grad, ema_params_with_grad): + ema_param.mul_(cur_ema_decay).add_(param.float(), alpha=1 - cur_ema_decay) + + return loss diff --git a/comfy/ldm/wan/model.py b/comfy/ldm/wan/model.py new file mode 100644 index 0000000000000000000000000000000000000000..63472ada225570001b4b365b387ff18712b35cd9 --- /dev/null +++ b/comfy/ldm/wan/model.py @@ -0,0 +1,1323 @@ +# original version: https://github.com/Wan-Video/Wan2.1/blob/main/wan/modules/model.py +# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved. +import math + +import torch +import torch.nn as nn +from einops import rearrange + +from comfy.ldm.modules.attention import optimized_attention +from comfy.ldm.flux.layers import EmbedND +from comfy.ldm.flux.math import apply_rope +import comfy.ldm.common_dit +import comfy.model_management +import comfy.patcher_extension + + +def sinusoidal_embedding_1d(dim, position): + # preprocess + assert dim % 2 == 0 + half = dim // 2 + position = position.type(torch.float32) + + # calculation + sinusoid = torch.outer( + position, torch.pow(10000, -torch.arange(half).to(position).div(half))) + x = torch.cat([torch.cos(sinusoid), torch.sin(sinusoid)], dim=1) + return x + + +class WanSelfAttention(nn.Module): + + def __init__(self, + dim, + num_heads, + window_size=(-1, -1), + qk_norm=True, + eps=1e-6, operation_settings={}): + assert dim % num_heads == 0 + super().__init__() + self.dim = dim + self.num_heads = num_heads + self.head_dim = dim // num_heads + self.window_size = window_size + self.qk_norm = qk_norm + self.eps = eps + + # layers + self.q = operation_settings.get("operations").Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.k = operation_settings.get("operations").Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.v = operation_settings.get("operations").Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.o = operation_settings.get("operations").Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.norm_q = operation_settings.get("operations").RMSNorm(dim, eps=eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) if qk_norm else nn.Identity() + self.norm_k = operation_settings.get("operations").RMSNorm(dim, eps=eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) if qk_norm else nn.Identity() + + def forward(self, x, freqs, transformer_options={}): + r""" + Args: + x(Tensor): Shape [B, L, num_heads, C / num_heads] + freqs(Tensor): Rope freqs, shape [1024, C / num_heads / 2] + """ + b, s, n, d = *x.shape[:2], self.num_heads, self.head_dim + + # query, key, value function + def qkv_fn(x): + q = self.norm_q(self.q(x)).view(b, s, n, d) + k = self.norm_k(self.k(x)).view(b, s, n, d) + v = self.v(x).view(b, s, n * d) + return q, k, v + + q, k, v = qkv_fn(x) + q, k = apply_rope(q, k, freqs) + + x = optimized_attention( + q.view(b, s, n * d), + k.view(b, s, n * d), + v, + heads=self.num_heads, + transformer_options=transformer_options, + ) + + x = self.o(x) + return x + + +class WanT2VCrossAttention(WanSelfAttention): + + def forward(self, x, context, transformer_options={}, **kwargs): + r""" + Args: + x(Tensor): Shape [B, L1, C] + context(Tensor): Shape [B, L2, C] + """ + # compute query, key, value + q = self.norm_q(self.q(x)) + k = self.norm_k(self.k(context)) + v = self.v(context) + + # compute attention + x = optimized_attention(q, k, v, heads=self.num_heads, transformer_options=transformer_options) + + x = self.o(x) + return x + + +class WanI2VCrossAttention(WanSelfAttention): + + def __init__(self, + dim, + num_heads, + window_size=(-1, -1), + qk_norm=True, + eps=1e-6, operation_settings={}): + super().__init__(dim, num_heads, window_size, qk_norm, eps, operation_settings=operation_settings) + + self.k_img = operation_settings.get("operations").Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.v_img = operation_settings.get("operations").Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + # self.alpha = nn.Parameter(torch.zeros((1, ))) + self.norm_k_img = operation_settings.get("operations").RMSNorm(dim, eps=eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) if qk_norm else nn.Identity() + + def forward(self, x, context, context_img_len, transformer_options={}): + r""" + Args: + x(Tensor): Shape [B, L1, C] + context(Tensor): Shape [B, L2, C] + """ + context_img = context[:, :context_img_len] + context = context[:, context_img_len:] + + # compute query, key, value + q = self.norm_q(self.q(x)) + k = self.norm_k(self.k(context)) + v = self.v(context) + k_img = self.norm_k_img(self.k_img(context_img)) + v_img = self.v_img(context_img) + img_x = optimized_attention(q, k_img, v_img, heads=self.num_heads, transformer_options=transformer_options) + # compute attention + x = optimized_attention(q, k, v, heads=self.num_heads, transformer_options=transformer_options) + + # output + x = x + img_x + x = self.o(x) + return x + + +WAN_CROSSATTENTION_CLASSES = { + 't2v_cross_attn': WanT2VCrossAttention, + 'i2v_cross_attn': WanI2VCrossAttention, +} + + +def repeat_e(e, x): + repeats = 1 + if e.size(1) > 1: + repeats = x.size(1) // e.size(1) + if repeats == 1: + return e + if repeats * e.size(1) == x.size(1): + return torch.repeat_interleave(e, repeats, dim=1) + else: + return torch.repeat_interleave(e, repeats + 1, dim=1)[:, :x.size(1)] + + +class WanAttentionBlock(nn.Module): + + def __init__(self, + cross_attn_type, + dim, + ffn_dim, + num_heads, + window_size=(-1, -1), + qk_norm=True, + cross_attn_norm=False, + eps=1e-6, operation_settings={}): + super().__init__() + self.dim = dim + self.ffn_dim = ffn_dim + self.num_heads = num_heads + self.window_size = window_size + self.qk_norm = qk_norm + self.cross_attn_norm = cross_attn_norm + self.eps = eps + + # layers + self.norm1 = operation_settings.get("operations").LayerNorm(dim, eps, elementwise_affine=False, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.self_attn = WanSelfAttention(dim, num_heads, window_size, qk_norm, + eps, operation_settings=operation_settings) + self.norm3 = operation_settings.get("operations").LayerNorm( + dim, eps, + elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) if cross_attn_norm else nn.Identity() + self.cross_attn = WAN_CROSSATTENTION_CLASSES[cross_attn_type](dim, + num_heads, + (-1, -1), + qk_norm, + eps, operation_settings=operation_settings) + self.norm2 = operation_settings.get("operations").LayerNorm(dim, eps, elementwise_affine=False, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.ffn = nn.Sequential( + operation_settings.get("operations").Linear(dim, ffn_dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), nn.GELU(approximate='tanh'), + operation_settings.get("operations").Linear(ffn_dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + + # modulation + self.modulation = nn.Parameter(torch.empty(1, 6, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + + def forward( + self, + x, + e, + freqs, + context, + context_img_len=257, + transformer_options={}, + ): + r""" + Args: + x(Tensor): Shape [B, L, C] + e(Tensor): Shape [B, 6, C] + freqs(Tensor): Rope freqs, shape [1024, C / num_heads / 2] + """ + # assert e.dtype == torch.float32 + + if e.ndim < 4: + e = (comfy.model_management.cast_to(self.modulation, dtype=x.dtype, device=x.device) + e).chunk(6, dim=1) + else: + e = (comfy.model_management.cast_to(self.modulation, dtype=x.dtype, device=x.device).unsqueeze(0) + e).unbind(2) + # assert e[0].dtype == torch.float32 + + # self-attention + y = self.self_attn( + torch.addcmul(repeat_e(e[0], x), self.norm1(x), 1 + repeat_e(e[1], x)), + freqs, transformer_options=transformer_options) + + x = torch.addcmul(x, y, repeat_e(e[2], x)) + + # cross-attention & ffn + x = x + self.cross_attn(self.norm3(x), context, context_img_len=context_img_len, transformer_options=transformer_options) + y = self.ffn(torch.addcmul(repeat_e(e[3], x), self.norm2(x), 1 + repeat_e(e[4], x))) + x = torch.addcmul(x, y, repeat_e(e[5], x)) + return x + + +class VaceWanAttentionBlock(WanAttentionBlock): + def __init__( + self, + cross_attn_type, + dim, + ffn_dim, + num_heads, + window_size=(-1, -1), + qk_norm=True, + cross_attn_norm=False, + eps=1e-6, + block_id=0, + operation_settings={} + ): + super().__init__(cross_attn_type, dim, ffn_dim, num_heads, window_size, qk_norm, cross_attn_norm, eps, operation_settings=operation_settings) + self.block_id = block_id + if block_id == 0: + self.before_proj = operation_settings.get("operations").Linear(self.dim, self.dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.after_proj = operation_settings.get("operations").Linear(self.dim, self.dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + + def forward(self, c, x, **kwargs): + if self.block_id == 0: + c = self.before_proj(c) + x + c = super().forward(c, **kwargs) + c_skip = self.after_proj(c) + return c_skip, c + + +class WanCamAdapter(nn.Module): + def __init__(self, in_dim, out_dim, kernel_size, stride, num_residual_blocks=1, operation_settings={}): + super(WanCamAdapter, self).__init__() + + # Pixel Unshuffle: reduce spatial dimensions by a factor of 8 + self.pixel_unshuffle = nn.PixelUnshuffle(downscale_factor=8) + + # Convolution: reduce spatial dimensions by a factor + # of 2 (without overlap) + self.conv = operation_settings.get("operations").Conv2d(in_dim * 64, out_dim, kernel_size=kernel_size, stride=stride, padding=0, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + + # Residual blocks for feature extraction + self.residual_blocks = nn.Sequential( + *[WanCamResidualBlock(out_dim, operation_settings = operation_settings) for _ in range(num_residual_blocks)] + ) + + def forward(self, x): + # Reshape to merge the frame dimension into batch + bs, c, f, h, w = x.size() + x = x.permute(0, 2, 1, 3, 4).contiguous().view(bs * f, c, h, w) + + # Pixel Unshuffle operation + x_unshuffled = self.pixel_unshuffle(x) + + # Convolution operation + x_conv = self.conv(x_unshuffled) + + # Feature extraction with residual blocks + out = self.residual_blocks(x_conv) + + # Reshape to restore original bf dimension + out = out.view(bs, f, out.size(1), out.size(2), out.size(3)) + + # Permute dimensions to reorder (if needed), e.g., swap channels and feature frames + out = out.permute(0, 2, 1, 3, 4) + + return out + + +class WanCamResidualBlock(nn.Module): + def __init__(self, dim, operation_settings={}): + super(WanCamResidualBlock, self).__init__() + self.conv1 = operation_settings.get("operations").Conv2d(dim, dim, kernel_size=3, padding=1, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.relu = nn.ReLU(inplace=True) + self.conv2 = operation_settings.get("operations").Conv2d(dim, dim, kernel_size=3, padding=1, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + + def forward(self, x): + residual = x + out = self.relu(self.conv1(x)) + out = self.conv2(out) + out += residual + return out + + +class Head(nn.Module): + + def __init__(self, dim, out_dim, patch_size, eps=1e-6, operation_settings={}): + super().__init__() + self.dim = dim + self.out_dim = out_dim + self.patch_size = patch_size + self.eps = eps + + # layers + out_dim = math.prod(patch_size) * out_dim + self.norm = operation_settings.get("operations").LayerNorm(dim, eps, elementwise_affine=False, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + self.head = operation_settings.get("operations").Linear(dim, out_dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + + # modulation + self.modulation = nn.Parameter(torch.empty(1, 2, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + + def forward(self, x, e): + r""" + Args: + x(Tensor): Shape [B, L1, C] + e(Tensor): Shape [B, C] + """ + # assert e.dtype == torch.float32 + if e.ndim < 3: + e = (comfy.model_management.cast_to(self.modulation, dtype=x.dtype, device=x.device) + e.unsqueeze(1)).chunk(2, dim=1) + else: + e = (comfy.model_management.cast_to(self.modulation, dtype=x.dtype, device=x.device).unsqueeze(0) + e.unsqueeze(2)).unbind(2) + + x = (self.head(torch.addcmul(repeat_e(e[0], x), self.norm(x), 1 + repeat_e(e[1], x)))) + return x + + +class MLPProj(torch.nn.Module): + + def __init__(self, in_dim, out_dim, flf_pos_embed_token_number=None, operation_settings={}): + super().__init__() + + self.proj = torch.nn.Sequential( + operation_settings.get("operations").LayerNorm(in_dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), operation_settings.get("operations").Linear(in_dim, in_dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), + torch.nn.GELU(), operation_settings.get("operations").Linear(in_dim, out_dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), + operation_settings.get("operations").LayerNorm(out_dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + + if flf_pos_embed_token_number is not None: + self.emb_pos = nn.Parameter(torch.empty((1, flf_pos_embed_token_number, in_dim), device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + else: + self.emb_pos = None + + def forward(self, image_embeds): + if self.emb_pos is not None: + image_embeds = image_embeds[:, :self.emb_pos.shape[1]] + comfy.model_management.cast_to(self.emb_pos[:, :image_embeds.shape[1]], dtype=image_embeds.dtype, device=image_embeds.device) + + clip_extra_context_tokens = self.proj(image_embeds) + return clip_extra_context_tokens + + +class WanModel(torch.nn.Module): + r""" + Wan diffusion backbone supporting both text-to-video and image-to-video. + """ + + def __init__(self, + model_type='t2v', + patch_size=(1, 2, 2), + text_len=512, + in_dim=16, + dim=2048, + ffn_dim=8192, + freq_dim=256, + text_dim=4096, + out_dim=16, + num_heads=16, + num_layers=32, + window_size=(-1, -1), + qk_norm=True, + cross_attn_norm=True, + eps=1e-6, + flf_pos_embed_token_number=None, + in_dim_ref_conv=None, + image_model=None, + device=None, + dtype=None, + operations=None, + ): + r""" + Initialize the diffusion model backbone. + + Args: + model_type (`str`, *optional*, defaults to 't2v'): + Model variant - 't2v' (text-to-video) or 'i2v' (image-to-video) + patch_size (`tuple`, *optional*, defaults to (1, 2, 2)): + 3D patch dimensions for video embedding (t_patch, h_patch, w_patch) + text_len (`int`, *optional*, defaults to 512): + Fixed length for text embeddings + in_dim (`int`, *optional*, defaults to 16): + Input video channels (C_in) + dim (`int`, *optional*, defaults to 2048): + Hidden dimension of the transformer + ffn_dim (`int`, *optional*, defaults to 8192): + Intermediate dimension in feed-forward network + freq_dim (`int`, *optional*, defaults to 256): + Dimension for sinusoidal time embeddings + text_dim (`int`, *optional*, defaults to 4096): + Input dimension for text embeddings + out_dim (`int`, *optional*, defaults to 16): + Output video channels (C_out) + num_heads (`int`, *optional*, defaults to 16): + Number of attention heads + num_layers (`int`, *optional*, defaults to 32): + Number of transformer blocks + window_size (`tuple`, *optional*, defaults to (-1, -1)): + Window size for local attention (-1 indicates global attention) + qk_norm (`bool`, *optional*, defaults to True): + Enable query/key normalization + cross_attn_norm (`bool`, *optional*, defaults to False): + Enable cross-attention normalization + eps (`float`, *optional*, defaults to 1e-6): + Epsilon value for normalization layers + """ + + super().__init__() + self.dtype = dtype + operation_settings = {"operations": operations, "device": device, "dtype": dtype} + + assert model_type in ['t2v', 'i2v'] + self.model_type = model_type + + self.patch_size = patch_size + self.text_len = text_len + self.in_dim = in_dim + self.dim = dim + self.ffn_dim = ffn_dim + self.freq_dim = freq_dim + self.text_dim = text_dim + self.out_dim = out_dim + self.num_heads = num_heads + self.num_layers = num_layers + self.window_size = window_size + self.qk_norm = qk_norm + self.cross_attn_norm = cross_attn_norm + self.eps = eps + + # embeddings + self.patch_embedding = operations.Conv3d( + in_dim, dim, kernel_size=patch_size, stride=patch_size, device=operation_settings.get("device"), dtype=torch.float32) + self.text_embedding = nn.Sequential( + operations.Linear(text_dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), nn.GELU(approximate='tanh'), + operations.Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + + self.time_embedding = nn.Sequential( + operations.Linear(freq_dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype")), nn.SiLU(), operations.Linear(dim, dim, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + self.time_projection = nn.Sequential(nn.SiLU(), operations.Linear(dim, dim * 6, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))) + + # blocks + cross_attn_type = 't2v_cross_attn' if model_type == 't2v' else 'i2v_cross_attn' + self.blocks = nn.ModuleList([ + WanAttentionBlock(cross_attn_type, dim, ffn_dim, num_heads, + window_size, qk_norm, cross_attn_norm, eps, operation_settings=operation_settings) + for _ in range(num_layers) + ]) + + # head + self.head = Head(dim, out_dim, patch_size, eps, operation_settings=operation_settings) + + d = dim // num_heads + self.rope_embedder = EmbedND(dim=d, theta=10000.0, axes_dim=[d - 4 * (d // 6), 2 * (d // 6), 2 * (d // 6)]) + + if model_type == 'i2v': + self.img_emb = MLPProj(1280, dim, flf_pos_embed_token_number=flf_pos_embed_token_number, operation_settings=operation_settings) + else: + self.img_emb = None + + if in_dim_ref_conv is not None: + self.ref_conv = operations.Conv2d(in_dim_ref_conv, dim, kernel_size=patch_size[1:], stride=patch_size[1:], device=operation_settings.get("device"), dtype=operation_settings.get("dtype")) + else: + self.ref_conv = None + + def forward_orig( + self, + x, + t, + context, + clip_fea=None, + freqs=None, + transformer_options={}, + **kwargs, + ): + r""" + Forward pass through the diffusion model + + Args: + x (Tensor): + List of input video tensors with shape [B, C_in, F, H, W] + t (Tensor): + Diffusion timesteps tensor of shape [B] + context (List[Tensor]): + List of text embeddings each with shape [B, L, C] + seq_len (`int`): + Maximum sequence length for positional encoding + clip_fea (Tensor, *optional*): + CLIP image features for image-to-video mode + y (List[Tensor], *optional*): + Conditional video inputs for image-to-video mode, same shape as x + + Returns: + List[Tensor]: + List of denoised video tensors with original input shapes [C_out, F, H / 8, W / 8] + """ + # embeddings + x = self.patch_embedding(x.float()).to(x.dtype) + grid_sizes = x.shape[2:] + x = x.flatten(2).transpose(1, 2) + + # time embeddings + e = self.time_embedding( + sinusoidal_embedding_1d(self.freq_dim, t.flatten()).to(dtype=x[0].dtype)) + e = e.reshape(t.shape[0], -1, e.shape[-1]) + e0 = self.time_projection(e).unflatten(2, (6, self.dim)) + + full_ref = None + if self.ref_conv is not None: + full_ref = kwargs.get("reference_latent", None) + if full_ref is not None: + full_ref = self.ref_conv(full_ref).flatten(2).transpose(1, 2) + x = torch.concat((full_ref, x), dim=1) + + # context + context = self.text_embedding(context) + + context_img_len = None + if clip_fea is not None: + if self.img_emb is not None: + context_clip = self.img_emb(clip_fea) # bs x 257 x dim + context = torch.concat([context_clip, context], dim=1) + context_img_len = clip_fea.shape[-2] + + patches_replace = transformer_options.get("patches_replace", {}) + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], context=args["txt"], e=args["vec"], freqs=args["pe"], context_img_len=context_img_len, transformer_options=args["transformer_options"]) + return out + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": e0, "pe": freqs, "transformer_options": transformer_options}, {"original_block": block_wrap}) + x = out["img"] + else: + x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options) + + # head + x = self.head(x, e) + + if full_ref is not None: + x = x[:, full_ref.shape[1]:] + + # unpatchify + x = self.unpatchify(x, grid_sizes) + return x + + def rope_encode(self, t, h, w, t_start=0, steps_t=None, steps_h=None, steps_w=None, device=None, dtype=None): + patch_size = self.patch_size + t_len = ((t + (patch_size[0] // 2)) // patch_size[0]) + h_len = ((h + (patch_size[1] // 2)) // patch_size[1]) + w_len = ((w + (patch_size[2] // 2)) // patch_size[2]) + + if steps_t is None: + steps_t = t_len + if steps_h is None: + steps_h = h_len + if steps_w is None: + steps_w = w_len + + img_ids = torch.zeros((steps_t, steps_h, steps_w, 3), device=device, dtype=dtype) + img_ids[:, :, :, 0] = img_ids[:, :, :, 0] + torch.linspace(t_start, t_start + (t_len - 1), steps=steps_t, device=device, dtype=dtype).reshape(-1, 1, 1) + img_ids[:, :, :, 1] = img_ids[:, :, :, 1] + torch.linspace(0, h_len - 1, steps=steps_h, device=device, dtype=dtype).reshape(1, -1, 1) + img_ids[:, :, :, 2] = img_ids[:, :, :, 2] + torch.linspace(0, w_len - 1, steps=steps_w, device=device, dtype=dtype).reshape(1, 1, -1) + img_ids = img_ids.reshape(1, -1, img_ids.shape[-1]) + + freqs = self.rope_embedder(img_ids).movedim(1, 2) + return freqs + + def forward(self, x, timestep, context, clip_fea=None, time_dim_concat=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._forward, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options) + ).execute(x, timestep, context, clip_fea, time_dim_concat, transformer_options, **kwargs) + + def _forward(self, x, timestep, context, clip_fea=None, time_dim_concat=None, transformer_options={}, **kwargs): + bs, c, t, h, w = x.shape + x = comfy.ldm.common_dit.pad_to_patch_size(x, self.patch_size) + + t_len = t + if time_dim_concat is not None: + time_dim_concat = comfy.ldm.common_dit.pad_to_patch_size(time_dim_concat, self.patch_size) + x = torch.cat([x, time_dim_concat], dim=2) + t_len = x.shape[2] + + if self.ref_conv is not None and "reference_latent" in kwargs: + t_len += 1 + + freqs = self.rope_encode(t_len, h, w, device=x.device, dtype=x.dtype) + return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w] + + def unpatchify(self, x, grid_sizes): + r""" + Reconstruct video tensors from patch embeddings. + + Args: + x (List[Tensor]): + List of patchified features, each with shape [L, C_out * prod(patch_size)] + grid_sizes (Tensor): + Original spatial-temporal grid dimensions before patching, + shape [B, 3] (3 dimensions correspond to F_patches, H_patches, W_patches) + + Returns: + List[Tensor]: + Reconstructed video tensors with shape [L, C_out, F, H / 8, W / 8] + """ + + c = self.out_dim + u = x + b = u.shape[0] + u = u[:, :math.prod(grid_sizes)].view(b, *grid_sizes, *self.patch_size, c) + u = torch.einsum('bfhwpqrc->bcfphqwr', u) + u = u.reshape(b, c, *[i * j for i, j in zip(grid_sizes, self.patch_size)]) + return u + + +class VaceWanModel(WanModel): + r""" + Wan diffusion backbone supporting both text-to-video and image-to-video. + """ + + def __init__(self, + model_type='vace', + patch_size=(1, 2, 2), + text_len=512, + in_dim=16, + dim=2048, + ffn_dim=8192, + freq_dim=256, + text_dim=4096, + out_dim=16, + num_heads=16, + num_layers=32, + window_size=(-1, -1), + qk_norm=True, + cross_attn_norm=True, + eps=1e-6, + flf_pos_embed_token_number=None, + image_model=None, + vace_layers=None, + vace_in_dim=None, + device=None, + dtype=None, + operations=None, + ): + + super().__init__(model_type='t2v', patch_size=patch_size, text_len=text_len, in_dim=in_dim, dim=dim, ffn_dim=ffn_dim, freq_dim=freq_dim, text_dim=text_dim, out_dim=out_dim, num_heads=num_heads, num_layers=num_layers, window_size=window_size, qk_norm=qk_norm, cross_attn_norm=cross_attn_norm, eps=eps, flf_pos_embed_token_number=flf_pos_embed_token_number, image_model=image_model, device=device, dtype=dtype, operations=operations) + operation_settings = {"operations": operations, "device": device, "dtype": dtype} + + # Vace + if vace_layers is not None: + self.vace_layers = vace_layers + self.vace_in_dim = vace_in_dim + # vace blocks + self.vace_blocks = nn.ModuleList([ + VaceWanAttentionBlock('t2v_cross_attn', self.dim, self.ffn_dim, self.num_heads, self.window_size, self.qk_norm, self.cross_attn_norm, self.eps, block_id=i, operation_settings=operation_settings) + for i in range(self.vace_layers) + ]) + + self.vace_layers_mapping = {i: n for n, i in enumerate(range(0, self.num_layers, self.num_layers // self.vace_layers))} + # vace patch embeddings + self.vace_patch_embedding = operations.Conv3d( + self.vace_in_dim, self.dim, kernel_size=self.patch_size, stride=self.patch_size, device=device, dtype=torch.float32 + ) + + def forward_orig( + self, + x, + t, + context, + vace_context, + vace_strength, + clip_fea=None, + freqs=None, + transformer_options={}, + **kwargs, + ): + # embeddings + x = self.patch_embedding(x.float()).to(x.dtype) + grid_sizes = x.shape[2:] + x = x.flatten(2).transpose(1, 2) + + # time embeddings + e = self.time_embedding( + sinusoidal_embedding_1d(self.freq_dim, t).to(dtype=x[0].dtype)) + e0 = self.time_projection(e).unflatten(1, (6, self.dim)) + + # context + context = self.text_embedding(context) + + context_img_len = None + if clip_fea is not None: + if self.img_emb is not None: + context_clip = self.img_emb(clip_fea) # bs x 257 x dim + context = torch.concat([context_clip, context], dim=1) + context_img_len = clip_fea.shape[-2] + + orig_shape = list(vace_context.shape) + vace_context = vace_context.movedim(0, 1).reshape([-1] + orig_shape[2:]) + c = self.vace_patch_embedding(vace_context.float()).to(vace_context.dtype) + c = c.flatten(2).transpose(1, 2) + c = list(c.split(orig_shape[0], dim=0)) + + # arguments + x_orig = x + + patches_replace = transformer_options.get("patches_replace", {}) + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], context=args["txt"], e=args["vec"], freqs=args["pe"], context_img_len=context_img_len, transformer_options=args["transformer_options"]) + return out + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": e0, "pe": freqs, "transformer_options": transformer_options}, {"original_block": block_wrap}) + x = out["img"] + else: + x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options) + + ii = self.vace_layers_mapping.get(i, None) + if ii is not None: + for iii in range(len(c)): + c_skip, c[iii] = self.vace_blocks[ii](c[iii], x=x_orig, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options) + x += c_skip * vace_strength[iii] + del c_skip + # head + x = self.head(x, e) + + # unpatchify + x = self.unpatchify(x, grid_sizes) + return x + +class CameraWanModel(WanModel): + r""" + Wan diffusion backbone supporting both text-to-video and image-to-video. + """ + + def __init__(self, + model_type='camera', + patch_size=(1, 2, 2), + text_len=512, + in_dim=16, + dim=2048, + ffn_dim=8192, + freq_dim=256, + text_dim=4096, + out_dim=16, + num_heads=16, + num_layers=32, + window_size=(-1, -1), + qk_norm=True, + cross_attn_norm=True, + eps=1e-6, + flf_pos_embed_token_number=None, + image_model=None, + in_dim_control_adapter=24, + device=None, + dtype=None, + operations=None, + ): + + if model_type == 'camera': + model_type = 'i2v' + else: + model_type = 't2v' + + super().__init__(model_type=model_type, patch_size=patch_size, text_len=text_len, in_dim=in_dim, dim=dim, ffn_dim=ffn_dim, freq_dim=freq_dim, text_dim=text_dim, out_dim=out_dim, num_heads=num_heads, num_layers=num_layers, window_size=window_size, qk_norm=qk_norm, cross_attn_norm=cross_attn_norm, eps=eps, flf_pos_embed_token_number=flf_pos_embed_token_number, image_model=image_model, device=device, dtype=dtype, operations=operations) + operation_settings = {"operations": operations, "device": device, "dtype": dtype} + + self.control_adapter = WanCamAdapter(in_dim_control_adapter, dim, kernel_size=patch_size[1:], stride=patch_size[1:], operation_settings=operation_settings) + + + def forward_orig( + self, + x, + t, + context, + clip_fea=None, + freqs=None, + camera_conditions = None, + transformer_options={}, + **kwargs, + ): + # embeddings + x = self.patch_embedding(x.float()).to(x.dtype) + if self.control_adapter is not None and camera_conditions is not None: + x = x + self.control_adapter(camera_conditions).to(x.dtype) + grid_sizes = x.shape[2:] + x = x.flatten(2).transpose(1, 2) + + # time embeddings + e = self.time_embedding( + sinusoidal_embedding_1d(self.freq_dim, t).to(dtype=x[0].dtype)) + e0 = self.time_projection(e).unflatten(1, (6, self.dim)) + + # context + context = self.text_embedding(context) + + context_img_len = None + if clip_fea is not None: + if self.img_emb is not None: + context_clip = self.img_emb(clip_fea) # bs x 257 x dim + context = torch.concat([context_clip, context], dim=1) + context_img_len = clip_fea.shape[-2] + + patches_replace = transformer_options.get("patches_replace", {}) + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], context=args["txt"], e=args["vec"], freqs=args["pe"], context_img_len=context_img_len, transformer_options=args["transformer_options"]) + return out + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": e0, "pe": freqs, "transformer_options": transformer_options}, {"original_block": block_wrap}) + x = out["img"] + else: + x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options) + + # head + x = self.head(x, e) + + # unpatchify + x = self.unpatchify(x, grid_sizes) + return x + + +class CausalConv1d(nn.Module): + + def __init__(self, + chan_in, + chan_out, + kernel_size=3, + stride=1, + dilation=1, + pad_mode='replicate', + operations=None, + **kwargs): + super().__init__() + + self.pad_mode = pad_mode + padding = (kernel_size - 1, 0) # T + self.time_causal_padding = padding + + self.conv = operations.Conv1d( + chan_in, + chan_out, + kernel_size, + stride=stride, + dilation=dilation, + **kwargs) + + def forward(self, x): + x = torch.nn.functional.pad(x, self.time_causal_padding, mode=self.pad_mode) + return self.conv(x) + + +class MotionEncoder_tc(nn.Module): + + def __init__(self, + in_dim: int, + hidden_dim: int, + num_heads=int, + need_global=True, + dtype=None, + device=None, + operations=None,): + factory_kwargs = {"dtype": dtype, "device": device} + super().__init__() + + self.num_heads = num_heads + self.need_global = need_global + self.conv1_local = CausalConv1d(in_dim, hidden_dim // 4 * num_heads, 3, stride=1, operations=operations, **factory_kwargs) + if need_global: + self.conv1_global = CausalConv1d( + in_dim, hidden_dim // 4, 3, stride=1, operations=operations, **factory_kwargs) + self.norm1 = operations.LayerNorm( + hidden_dim // 4, + elementwise_affine=False, + eps=1e-6, + **factory_kwargs) + self.act = nn.SiLU() + self.conv2 = CausalConv1d(hidden_dim // 4, hidden_dim // 2, 3, stride=2, operations=operations, **factory_kwargs) + self.conv3 = CausalConv1d(hidden_dim // 2, hidden_dim, 3, stride=2, operations=operations, **factory_kwargs) + + if need_global: + self.final_linear = operations.Linear(hidden_dim, hidden_dim, **factory_kwargs) + + self.norm1 = operations.LayerNorm( + hidden_dim // 4, + elementwise_affine=False, + eps=1e-6, + **factory_kwargs) + + self.norm2 = operations.LayerNorm( + hidden_dim // 2, + elementwise_affine=False, + eps=1e-6, + **factory_kwargs) + + self.norm3 = operations.LayerNorm( + hidden_dim, elementwise_affine=False, eps=1e-6, **factory_kwargs) + + self.padding_tokens = nn.Parameter(torch.empty(1, 1, 1, hidden_dim, **factory_kwargs)) + + def forward(self, x): + x = rearrange(x, 'b t c -> b c t') + x_ori = x.clone() + b, c, t = x.shape + x = self.conv1_local(x) + x = rearrange(x, 'b (n c) t -> (b n) t c', n=self.num_heads) + x = self.norm1(x) + x = self.act(x) + x = rearrange(x, 'b t c -> b c t') + x = self.conv2(x) + x = rearrange(x, 'b c t -> b t c') + x = self.norm2(x) + x = self.act(x) + x = rearrange(x, 'b t c -> b c t') + x = self.conv3(x) + x = rearrange(x, 'b c t -> b t c') + x = self.norm3(x) + x = self.act(x) + x = rearrange(x, '(b n) t c -> b t n c', b=b) + padding = comfy.model_management.cast_to(self.padding_tokens, dtype=x.dtype, device=x.device).repeat(b, x.shape[1], 1, 1) + x = torch.cat([x, padding], dim=-2) + x_local = x.clone() + + if not self.need_global: + return x_local + + x = self.conv1_global(x_ori) + x = rearrange(x, 'b c t -> b t c') + x = self.norm1(x) + x = self.act(x) + x = rearrange(x, 'b t c -> b c t') + x = self.conv2(x) + x = rearrange(x, 'b c t -> b t c') + x = self.norm2(x) + x = self.act(x) + x = rearrange(x, 'b t c -> b c t') + x = self.conv3(x) + x = rearrange(x, 'b c t -> b t c') + x = self.norm3(x) + x = self.act(x) + x = self.final_linear(x) + x = rearrange(x, '(b n) t c -> b t n c', b=b) + + return x, x_local + + +class CausalAudioEncoder(nn.Module): + + def __init__(self, + dim=5120, + num_layers=25, + out_dim=2048, + video_rate=8, + num_token=4, + need_global=False, + dtype=None, + device=None, + operations=None): + super().__init__() + self.encoder = MotionEncoder_tc( + in_dim=dim, + hidden_dim=out_dim, + num_heads=num_token, + need_global=need_global, dtype=dtype, device=device, operations=operations) + weight = torch.empty((1, num_layers, 1, 1), dtype=dtype, device=device) + + self.weights = torch.nn.Parameter(weight) + self.act = torch.nn.SiLU() + + def forward(self, features): + # features B * num_layers * dim * video_length + weights = self.act(comfy.model_management.cast_to(self.weights, dtype=features.dtype, device=features.device)) + weights_sum = weights.sum(dim=1, keepdims=True) + weighted_feat = ((features * weights) / weights_sum).sum( + dim=1) # b dim f + weighted_feat = weighted_feat.permute(0, 2, 1) # b f dim + res = self.encoder(weighted_feat) # b f n dim + return res # b f n dim + + +class AdaLayerNorm(nn.Module): + def __init__(self, embedding_dim, output_dim=None, norm_elementwise_affine=False, norm_eps=1e-5, dtype=None, device=None, operations=None): + super().__init__() + + output_dim = output_dim or embedding_dim * 2 + + self.silu = nn.SiLU() + self.linear = operations.Linear(embedding_dim, output_dim, dtype=dtype, device=device) + self.norm = operations.LayerNorm(output_dim // 2, norm_eps, norm_elementwise_affine, dtype=dtype, device=device) + + def forward(self, x, temb): + temb = self.linear(self.silu(temb)) + shift, scale = temb.chunk(2, dim=1) + shift = shift[:, None, :] + scale = scale[:, None, :] + x = self.norm(x) * (1 + scale) + shift + return x + + +class AudioInjector_WAN(nn.Module): + + def __init__(self, + dim=2048, + num_heads=32, + inject_layer=[0, 27], + root_net=None, + enable_adain=False, + adain_dim=2048, + adain_mode=None, + dtype=None, + device=None, + operations=None): + super().__init__() + self.enable_adain = enable_adain + self.adain_mode = adain_mode + self.injected_block_id = {} + audio_injector_id = 0 + for inject_id in inject_layer: + self.injected_block_id[inject_id] = audio_injector_id + audio_injector_id += 1 + + self.injector = nn.ModuleList([ + WanT2VCrossAttention( + dim=dim, + num_heads=num_heads, + qk_norm=True, operation_settings={"operations": operations, "device": device, "dtype": dtype} + ) for _ in range(audio_injector_id) + ]) + self.injector_pre_norm_feat = nn.ModuleList([ + operations.LayerNorm( + dim, + elementwise_affine=False, + eps=1e-6, dtype=dtype, device=device + ) for _ in range(audio_injector_id) + ]) + self.injector_pre_norm_vec = nn.ModuleList([ + operations.LayerNorm( + dim, + elementwise_affine=False, + eps=1e-6, dtype=dtype, device=device + ) for _ in range(audio_injector_id) + ]) + if enable_adain: + self.injector_adain_layers = nn.ModuleList([ + AdaLayerNorm( + output_dim=dim * 2, embedding_dim=adain_dim, dtype=dtype, device=device, operations=operations) + for _ in range(audio_injector_id) + ]) + if adain_mode != "attn_norm": + self.injector_adain_output_layers = nn.ModuleList( + [operations.Linear(dim, dim, dtype=dtype, device=device) for _ in range(audio_injector_id)]) + + def forward(self, x, block_id, audio_emb, audio_emb_global, seq_len): + audio_attn_id = self.injected_block_id.get(block_id, None) + if audio_attn_id is None: + return x + + num_frames = audio_emb.shape[1] + input_hidden_states = rearrange(x[:, :seq_len], "b (t n) c -> (b t) n c", t=num_frames) + if self.enable_adain and self.adain_mode == "attn_norm": + audio_emb_global = rearrange(audio_emb_global, "b t n c -> (b t) n c") + adain_hidden_states = self.injector_adain_layers[audio_attn_id](input_hidden_states, temb=audio_emb_global[:, 0]) + attn_hidden_states = adain_hidden_states + else: + attn_hidden_states = self.injector_pre_norm_feat[audio_attn_id](input_hidden_states) + audio_emb = rearrange(audio_emb, "b t n c -> (b t) n c", t=num_frames) + attn_audio_emb = audio_emb + residual_out = self.injector[audio_attn_id](x=attn_hidden_states, context=attn_audio_emb) + residual_out = rearrange( + residual_out, "(b t) n c -> b (t n) c", t=num_frames) + x[:, :seq_len] = x[:, :seq_len] + residual_out + return x + + +class FramePackMotioner(nn.Module): + def __init__( + self, + inner_dim=1024, + num_heads=16, # Used to indicate the number of heads in the backbone network; unrelated to this module's design + zip_frame_buckets=[ + 1, 2, 16 + ], # Three numbers representing the number of frames sampled for patch operations from the nearest to the farthest frames + drop_mode="drop", # If not "drop", it will use "padd", meaning padding instead of deletion + dtype=None, + device=None, + operations=None): + super().__init__() + self.proj = operations.Conv3d(16, inner_dim, kernel_size=(1, 2, 2), stride=(1, 2, 2), dtype=dtype, device=device) + self.proj_2x = operations.Conv3d(16, inner_dim, kernel_size=(2, 4, 4), stride=(2, 4, 4), dtype=dtype, device=device) + self.proj_4x = operations.Conv3d(16, inner_dim, kernel_size=(4, 8, 8), stride=(4, 8, 8), dtype=dtype, device=device) + self.zip_frame_buckets = zip_frame_buckets + + self.inner_dim = inner_dim + self.num_heads = num_heads + + self.drop_mode = drop_mode + + def forward(self, motion_latents, rope_embedder, add_last_motion=2): + lat_height, lat_width = motion_latents.shape[3], motion_latents.shape[4] + padd_lat = torch.zeros(motion_latents.shape[0], 16, sum(self.zip_frame_buckets), lat_height, lat_width).to(device=motion_latents.device, dtype=motion_latents.dtype) + overlap_frame = min(padd_lat.shape[2], motion_latents.shape[2]) + if overlap_frame > 0: + padd_lat[:, :, -overlap_frame:] = motion_latents[:, :, -overlap_frame:] + + if add_last_motion < 2 and self.drop_mode != "drop": + zero_end_frame = sum(self.zip_frame_buckets[:len(self.zip_frame_buckets) - add_last_motion - 1]) + padd_lat[:, :, -zero_end_frame:] = 0 + + clean_latents_4x, clean_latents_2x, clean_latents_post = padd_lat[:, :, -sum(self.zip_frame_buckets):, :, :].split(self.zip_frame_buckets[::-1], dim=2) # 16, 2 ,1 + + # patchfy + clean_latents_post = self.proj(clean_latents_post).flatten(2).transpose(1, 2) + clean_latents_2x = self.proj_2x(clean_latents_2x) + l_2x_shape = clean_latents_2x.shape + clean_latents_2x = clean_latents_2x.flatten(2).transpose(1, 2) + clean_latents_4x = self.proj_4x(clean_latents_4x) + l_4x_shape = clean_latents_4x.shape + clean_latents_4x = clean_latents_4x.flatten(2).transpose(1, 2) + + if add_last_motion < 2 and self.drop_mode == "drop": + clean_latents_post = clean_latents_post[:, : + 0] if add_last_motion < 2 else clean_latents_post + clean_latents_2x = clean_latents_2x[:, : + 0] if add_last_motion < 1 else clean_latents_2x + + motion_lat = torch.cat([clean_latents_post, clean_latents_2x, clean_latents_4x], dim=1) + + rope_post = rope_embedder.rope_encode(1, lat_height, lat_width, t_start=-1, device=motion_latents.device, dtype=motion_latents.dtype) + rope_2x = rope_embedder.rope_encode(1, lat_height, lat_width, t_start=-3, steps_h=l_2x_shape[-2], steps_w=l_2x_shape[-1], device=motion_latents.device, dtype=motion_latents.dtype) + rope_4x = rope_embedder.rope_encode(4, lat_height, lat_width, t_start=-19, steps_h=l_4x_shape[-2], steps_w=l_4x_shape[-1], device=motion_latents.device, dtype=motion_latents.dtype) + + rope = torch.cat([rope_post, rope_2x, rope_4x], dim=1) + return motion_lat, rope + + +class WanModel_S2V(WanModel): + def __init__(self, + model_type='s2v', + patch_size=(1, 2, 2), + text_len=512, + in_dim=16, + dim=2048, + ffn_dim=8192, + freq_dim=256, + text_dim=4096, + out_dim=16, + num_heads=16, + num_layers=32, + window_size=(-1, -1), + qk_norm=True, + cross_attn_norm=True, + eps=1e-6, + audio_dim=1024, + num_audio_token=4, + enable_adain=True, + cond_dim=16, + audio_inject_layers=[0, 4, 8, 12, 16, 20, 24, 27, 30, 33, 36, 39], + adain_mode="attn_norm", + framepack_drop_mode="padd", + image_model=None, + device=None, + dtype=None, + operations=None, + ): + + super().__init__(model_type='t2v', patch_size=patch_size, text_len=text_len, in_dim=in_dim, dim=dim, ffn_dim=ffn_dim, freq_dim=freq_dim, text_dim=text_dim, out_dim=out_dim, num_heads=num_heads, num_layers=num_layers, window_size=window_size, qk_norm=qk_norm, cross_attn_norm=cross_attn_norm, eps=eps, image_model=image_model, device=device, dtype=dtype, operations=operations) + + self.trainable_cond_mask = operations.Embedding(3, self.dim, device=device, dtype=dtype) + + self.casual_audio_encoder = CausalAudioEncoder( + dim=audio_dim, + out_dim=self.dim, + num_token=num_audio_token, + need_global=enable_adain, dtype=dtype, device=device, operations=operations) + + if cond_dim > 0: + self.cond_encoder = operations.Conv3d( + cond_dim, + self.dim, + kernel_size=self.patch_size, + stride=self.patch_size, device=device, dtype=dtype) + + self.audio_injector = AudioInjector_WAN( + dim=self.dim, + num_heads=self.num_heads, + inject_layer=audio_inject_layers, + root_net=self, + enable_adain=enable_adain, + adain_dim=self.dim, + adain_mode=adain_mode, + dtype=dtype, device=device, operations=operations + ) + + self.frame_packer = FramePackMotioner( + inner_dim=self.dim, + num_heads=self.num_heads, + zip_frame_buckets=[1, 2, 16], + drop_mode=framepack_drop_mode, + dtype=dtype, device=device, operations=operations) + + def forward_orig( + self, + x, + t, + context, + audio_embed=None, + reference_latent=None, + control_video=None, + reference_motion=None, + clip_fea=None, + freqs=None, + transformer_options={}, + **kwargs, + ): + if audio_embed is not None: + num_embeds = x.shape[-3] * 4 + audio_emb_global, audio_emb = self.casual_audio_encoder(audio_embed[:, :, :, :num_embeds]) + else: + audio_emb = None + + # embeddings + bs, _, time, height, width = x.shape + x = self.patch_embedding(x.float()).to(x.dtype) + if control_video is not None: + x = x + self.cond_encoder(control_video) + + if t.ndim == 1: + t = t.unsqueeze(1).repeat(1, x.shape[2]) + + grid_sizes = x.shape[2:] + x = x.flatten(2).transpose(1, 2) + seq_len = x.size(1) + + cond_mask_weight = comfy.model_management.cast_to(self.trainable_cond_mask.weight, dtype=x.dtype, device=x.device).unsqueeze(1).unsqueeze(1) + x = x + cond_mask_weight[0] + + if reference_latent is not None: + ref = self.patch_embedding(reference_latent.float()).to(x.dtype) + ref = ref.flatten(2).transpose(1, 2) + freqs_ref = self.rope_encode(reference_latent.shape[-3], reference_latent.shape[-2], reference_latent.shape[-1], t_start=max(30, time + 9), device=x.device, dtype=x.dtype) + ref = ref + cond_mask_weight[1] + x = torch.cat([x, ref], dim=1) + freqs = torch.cat([freqs, freqs_ref], dim=1) + t = torch.cat([t, torch.zeros((t.shape[0], reference_latent.shape[-3]), device=t.device, dtype=t.dtype)], dim=1) + del ref, freqs_ref + + if reference_motion is not None: + motion_encoded, freqs_motion = self.frame_packer(reference_motion, self) + motion_encoded = motion_encoded + cond_mask_weight[2] + x = torch.cat([x, motion_encoded], dim=1) + freqs = torch.cat([freqs, freqs_motion], dim=1) + + t = torch.repeat_interleave(t, 2, dim=1) + t = torch.cat([t, torch.zeros((t.shape[0], 3), device=t.device, dtype=t.dtype)], dim=1) + del motion_encoded, freqs_motion + + # time embeddings + e = self.time_embedding( + sinusoidal_embedding_1d(self.freq_dim, t.flatten()).to(dtype=x[0].dtype)) + e = e.reshape(t.shape[0], -1, e.shape[-1]) + e0 = self.time_projection(e).unflatten(2, (6, self.dim)) + + # context + context = self.text_embedding(context) + + patches_replace = transformer_options.get("patches_replace", {}) + blocks_replace = patches_replace.get("dit", {}) + for i, block in enumerate(self.blocks): + if ("double_block", i) in blocks_replace: + def block_wrap(args): + out = {} + out["img"] = block(args["img"], context=args["txt"], e=args["vec"], freqs=args["pe"]) + return out + out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": e0, "pe": freqs}, {"original_block": block_wrap}) + x = out["img"] + else: + x = block(x, e=e0, freqs=freqs, context=context) + if audio_emb is not None: + x = self.audio_injector(x, i, audio_emb, audio_emb_global, seq_len) + # head + x = self.head(x, e) + + # unpatchify + x = self.unpatchify(x, grid_sizes) + return x diff --git a/comfy/ldm/wan/vae.py b/comfy/ldm/wan/vae.py new file mode 100644 index 0000000000000000000000000000000000000000..791596938a26cf525e2e0513ca47ad217619c2e4 --- /dev/null +++ b/comfy/ldm/wan/vae.py @@ -0,0 +1,522 @@ +# original version: https://github.com/Wan-Video/Wan2.1/blob/main/wan/modules/vae.py +# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved. + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange +from comfy.ldm.modules.diffusionmodules.model import vae_attention + +import comfy.ops +ops = comfy.ops.disable_weight_init + +CACHE_T = 2 + + +class CausalConv3d(ops.Conv3d): + """ + Causal 3d convolusion. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self._padding = (self.padding[2], self.padding[2], self.padding[1], + self.padding[1], 2 * self.padding[0], 0) + self.padding = (0, 0, 0) + + def forward(self, x, cache_x=None, cache_list=None, cache_idx=None): + if cache_list is not None: + cache_x = cache_list[cache_idx] + cache_list[cache_idx] = None + + padding = list(self._padding) + if cache_x is not None and self._padding[4] > 0: + cache_x = cache_x.to(x.device) + x = torch.cat([cache_x, x], dim=2) + padding[4] -= cache_x.shape[2] + del cache_x + x = F.pad(x, padding) + + return super().forward(x) + + +class RMS_norm(nn.Module): + + def __init__(self, dim, channel_first=True, images=True, bias=False): + super().__init__() + broadcastable_dims = (1, 1, 1) if not images else (1, 1) + shape = (dim, *broadcastable_dims) if channel_first else (dim,) + + self.channel_first = channel_first + self.scale = dim**0.5 + self.gamma = nn.Parameter(torch.ones(shape)) + self.bias = nn.Parameter(torch.zeros(shape)) if bias else None + + def forward(self, x): + return F.normalize( + x, dim=(1 if self.channel_first else -1)) * self.scale * self.gamma.to(x) + (self.bias.to(x) if self.bias is not None else 0) + + +class Resample(nn.Module): + + def __init__(self, dim, mode): + assert mode in ('none', 'upsample2d', 'upsample3d', 'downsample2d', + 'downsample3d') + super().__init__() + self.dim = dim + self.mode = mode + + # layers + if mode == 'upsample2d': + self.resample = nn.Sequential( + nn.Upsample(scale_factor=(2., 2.), mode='nearest-exact'), + ops.Conv2d(dim, dim // 2, 3, padding=1)) + elif mode == 'upsample3d': + self.resample = nn.Sequential( + nn.Upsample(scale_factor=(2., 2.), mode='nearest-exact'), + ops.Conv2d(dim, dim // 2, 3, padding=1)) + self.time_conv = CausalConv3d( + dim, dim * 2, (3, 1, 1), padding=(1, 0, 0)) + + elif mode == 'downsample2d': + self.resample = nn.Sequential( + nn.ZeroPad2d((0, 1, 0, 1)), + ops.Conv2d(dim, dim, 3, stride=(2, 2))) + elif mode == 'downsample3d': + self.resample = nn.Sequential( + nn.ZeroPad2d((0, 1, 0, 1)), + ops.Conv2d(dim, dim, 3, stride=(2, 2))) + self.time_conv = CausalConv3d( + dim, dim, (3, 1, 1), stride=(2, 1, 1), padding=(0, 0, 0)) + + else: + self.resample = nn.Identity() + + def forward(self, x, feat_cache=None, feat_idx=[0]): + b, c, t, h, w = x.size() + if self.mode == 'upsample3d': + if feat_cache is not None: + idx = feat_idx[0] + if feat_cache[idx] is None: + feat_cache[idx] = 'Rep' + feat_idx[0] += 1 + else: + + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[ + idx] is not None and feat_cache[idx] != 'Rep': + # cache last frame of last two chunk + cache_x = torch.cat([ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), cache_x + ], + dim=2) + if cache_x.shape[2] < 2 and feat_cache[ + idx] is not None and feat_cache[idx] == 'Rep': + cache_x = torch.cat([ + torch.zeros_like(cache_x).to(cache_x.device), + cache_x + ], + dim=2) + if feat_cache[idx] == 'Rep': + x = self.time_conv(x) + else: + x = self.time_conv(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + + x = x.reshape(b, 2, c, t, h, w) + x = torch.stack((x[:, 0, :, :, :, :], x[:, 1, :, :, :, :]), + 3) + x = x.reshape(b, c, t * 2, h, w) + t = x.shape[2] + x = rearrange(x, 'b c t h w -> (b t) c h w') + x = self.resample(x) + x = rearrange(x, '(b t) c h w -> b c t h w', t=t) + + if self.mode == 'downsample3d': + if feat_cache is not None: + idx = feat_idx[0] + if feat_cache[idx] is None: + feat_cache[idx] = x.clone() + feat_idx[0] += 1 + else: + + cache_x = x[:, :, -1:, :, :].clone() + # if cache_x.shape[2] < 2 and feat_cache[idx] is not None and feat_cache[idx]!='Rep': + # # cache last frame of last two chunk + # cache_x = torch.cat([feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to(cache_x.device), cache_x], dim=2) + + x = self.time_conv( + torch.cat([feat_cache[idx][:, :, -1:, :, :], x], 2)) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + return x + + +class ResidualBlock(nn.Module): + + def __init__(self, in_dim, out_dim, dropout=0.0): + super().__init__() + self.in_dim = in_dim + self.out_dim = out_dim + + # layers + self.residual = nn.Sequential( + RMS_norm(in_dim, images=False), nn.SiLU(), + CausalConv3d(in_dim, out_dim, 3, padding=1), + RMS_norm(out_dim, images=False), nn.SiLU(), nn.Dropout(dropout), + CausalConv3d(out_dim, out_dim, 3, padding=1)) + self.shortcut = CausalConv3d(in_dim, out_dim, 1) \ + if in_dim != out_dim else nn.Identity() + + def forward(self, x, feat_cache=None, feat_idx=[0]): + old_x = x + for layer in self.residual: + if isinstance(layer, CausalConv3d) and feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + # cache last frame of last two chunk + cache_x = torch.cat([ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), cache_x + ], + dim=2) + x = layer(x, cache_list=feat_cache, cache_idx=idx) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = layer(x) + return x + self.shortcut(old_x) + + +class AttentionBlock(nn.Module): + """ + Causal self-attention with a single head. + """ + + def __init__(self, dim): + super().__init__() + self.dim = dim + + # layers + self.norm = RMS_norm(dim) + self.to_qkv = ops.Conv2d(dim, dim * 3, 1) + self.proj = ops.Conv2d(dim, dim, 1) + self.optimized_attention = vae_attention() + + def forward(self, x): + identity = x + b, c, t, h, w = x.size() + x = rearrange(x, 'b c t h w -> (b t) c h w') + x = self.norm(x) + # compute query, key, value + + q, k, v = self.to_qkv(x).chunk(3, dim=1) + x = self.optimized_attention(q, k, v) + + # output + x = self.proj(x) + x = rearrange(x, '(b t) c h w-> b c t h w', t=t) + return x + identity + + +class Encoder3d(nn.Module): + + def __init__(self, + dim=128, + z_dim=4, + dim_mult=[1, 2, 4, 4], + num_res_blocks=2, + attn_scales=[], + temperal_downsample=[True, True, False], + dropout=0.0): + super().__init__() + self.dim = dim + self.z_dim = z_dim + self.dim_mult = dim_mult + self.num_res_blocks = num_res_blocks + self.attn_scales = attn_scales + self.temperal_downsample = temperal_downsample + + # dimensions + dims = [dim * u for u in [1] + dim_mult] + scale = 1.0 + + # init block + self.conv1 = CausalConv3d(3, dims[0], 3, padding=1) + + # downsample blocks + downsamples = [] + for i, (in_dim, out_dim) in enumerate(zip(dims[:-1], dims[1:])): + # residual (+attention) blocks + for _ in range(num_res_blocks): + downsamples.append(ResidualBlock(in_dim, out_dim, dropout)) + if scale in attn_scales: + downsamples.append(AttentionBlock(out_dim)) + in_dim = out_dim + + # downsample block + if i != len(dim_mult) - 1: + mode = 'downsample3d' if temperal_downsample[ + i] else 'downsample2d' + downsamples.append(Resample(out_dim, mode=mode)) + scale /= 2.0 + self.downsamples = nn.Sequential(*downsamples) + + # middle blocks + self.middle = nn.Sequential( + ResidualBlock(out_dim, out_dim, dropout), AttentionBlock(out_dim), + ResidualBlock(out_dim, out_dim, dropout)) + + # output blocks + self.head = nn.Sequential( + RMS_norm(out_dim, images=False), nn.SiLU(), + CausalConv3d(out_dim, z_dim, 3, padding=1)) + + def forward(self, x, feat_cache=None, feat_idx=[0]): + if feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + # cache last frame of last two chunk + cache_x = torch.cat([ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), cache_x + ], + dim=2) + x = self.conv1(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = self.conv1(x) + + ## downsamples + for layer in self.downsamples: + if feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## middle + for layer in self.middle: + if isinstance(layer, ResidualBlock) and feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## head + for layer in self.head: + if isinstance(layer, CausalConv3d) and feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + # cache last frame of last two chunk + cache_x = torch.cat([ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), cache_x + ], + dim=2) + x = layer(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = layer(x) + return x + + +class Decoder3d(nn.Module): + + def __init__(self, + dim=128, + z_dim=4, + dim_mult=[1, 2, 4, 4], + num_res_blocks=2, + attn_scales=[], + temperal_upsample=[False, True, True], + dropout=0.0): + super().__init__() + self.dim = dim + self.z_dim = z_dim + self.dim_mult = dim_mult + self.num_res_blocks = num_res_blocks + self.attn_scales = attn_scales + self.temperal_upsample = temperal_upsample + + # dimensions + dims = [dim * u for u in [dim_mult[-1]] + dim_mult[::-1]] + scale = 1.0 / 2**(len(dim_mult) - 2) + + # init block + self.conv1 = CausalConv3d(z_dim, dims[0], 3, padding=1) + + # middle blocks + self.middle = nn.Sequential( + ResidualBlock(dims[0], dims[0], dropout), AttentionBlock(dims[0]), + ResidualBlock(dims[0], dims[0], dropout)) + + # upsample blocks + upsamples = [] + for i, (in_dim, out_dim) in enumerate(zip(dims[:-1], dims[1:])): + # residual (+attention) blocks + if i == 1 or i == 2 or i == 3: + in_dim = in_dim // 2 + for _ in range(num_res_blocks + 1): + upsamples.append(ResidualBlock(in_dim, out_dim, dropout)) + if scale in attn_scales: + upsamples.append(AttentionBlock(out_dim)) + in_dim = out_dim + + # upsample block + if i != len(dim_mult) - 1: + mode = 'upsample3d' if temperal_upsample[i] else 'upsample2d' + upsamples.append(Resample(out_dim, mode=mode)) + scale *= 2.0 + self.upsamples = nn.Sequential(*upsamples) + + # output blocks + self.head = nn.Sequential( + RMS_norm(out_dim, images=False), nn.SiLU(), + CausalConv3d(out_dim, 3, 3, padding=1)) + + def forward(self, x, feat_cache=None, feat_idx=[0]): + ## conv1 + if feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + # cache last frame of last two chunk + cache_x = torch.cat([ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), cache_x + ], + dim=2) + x = self.conv1(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = self.conv1(x) + + ## middle + for layer in self.middle: + if isinstance(layer, ResidualBlock) and feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## upsamples + for layer in self.upsamples: + if feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## head + for layer in self.head: + if isinstance(layer, CausalConv3d) and feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + # cache last frame of last two chunk + cache_x = torch.cat([ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), cache_x + ], + dim=2) + x = layer(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = layer(x) + return x + + +def count_conv3d(model): + count = 0 + for m in model.modules(): + if isinstance(m, CausalConv3d): + count += 1 + return count + + +class WanVAE(nn.Module): + + def __init__(self, + dim=128, + z_dim=4, + dim_mult=[1, 2, 4, 4], + num_res_blocks=2, + attn_scales=[], + temperal_downsample=[True, True, False], + dropout=0.0): + super().__init__() + self.dim = dim + self.z_dim = z_dim + self.dim_mult = dim_mult + self.num_res_blocks = num_res_blocks + self.attn_scales = attn_scales + self.temperal_downsample = temperal_downsample + self.temperal_upsample = temperal_downsample[::-1] + + # modules + self.encoder = Encoder3d(dim, z_dim * 2, dim_mult, num_res_blocks, + attn_scales, self.temperal_downsample, dropout) + self.conv1 = CausalConv3d(z_dim * 2, z_dim * 2, 1) + self.conv2 = CausalConv3d(z_dim, z_dim, 1) + self.decoder = Decoder3d(dim, z_dim, dim_mult, num_res_blocks, + attn_scales, self.temperal_upsample, dropout) + + def encode(self, x): + self.clear_cache() + ## cache + t = x.shape[2] + iter_ = 1 + (t - 1) // 4 + ## 对encode输入的x，按时间拆分为1、4、4、4.... + for i in range(iter_): + self._enc_conv_idx = [0] + if i == 0: + out = self.encoder( + x[:, :, :1, :, :], + feat_cache=self._enc_feat_map, + feat_idx=self._enc_conv_idx) + else: + out_ = self.encoder( + x[:, :, 1 + 4 * (i - 1):1 + 4 * i, :, :], + feat_cache=self._enc_feat_map, + feat_idx=self._enc_conv_idx) + out = torch.cat([out, out_], 2) + mu, log_var = self.conv1(out).chunk(2, dim=1) + self.clear_cache() + return mu + + def decode(self, z): + self.clear_cache() + # z: [b,c,t,h,w] + + iter_ = z.shape[2] + x = self.conv2(z) + for i in range(iter_): + self._conv_idx = [0] + if i == 0: + out = self.decoder( + x[:, :, i:i + 1, :, :], + feat_cache=self._feat_map, + feat_idx=self._conv_idx) + else: + out_ = self.decoder( + x[:, :, i:i + 1, :, :], + feat_cache=self._feat_map, + feat_idx=self._conv_idx) + out = torch.cat([out, out_], 2) + self.clear_cache() + return out + + def clear_cache(self): + self._conv_num = count_conv3d(self.decoder) + self._conv_idx = [0] + self._feat_map = [None] * self._conv_num + #cache encode + self._enc_conv_num = count_conv3d(self.encoder) + self._enc_conv_idx = [0] + self._enc_feat_map = [None] * self._enc_conv_num diff --git a/comfy/ldm/wan/vae2_2.py b/comfy/ldm/wan/vae2_2.py new file mode 100644 index 0000000000000000000000000000000000000000..1f6d584a22f3a888e290f233934f214f4a36fc55 --- /dev/null +++ b/comfy/ldm/wan/vae2_2.py @@ -0,0 +1,726 @@ +# original version: https://github.com/Wan-Video/Wan2.2/blob/main/wan/modules/vae2_2.py +# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved. + +import torch +import torch.nn as nn +import torch.nn.functional as F +from einops import rearrange +from .vae import AttentionBlock, CausalConv3d, RMS_norm + +import comfy.ops +ops = comfy.ops.disable_weight_init + +CACHE_T = 2 + + +class Resample(nn.Module): + + def __init__(self, dim, mode): + assert mode in ( + "none", + "upsample2d", + "upsample3d", + "downsample2d", + "downsample3d", + ) + super().__init__() + self.dim = dim + self.mode = mode + + # layers + if mode == "upsample2d": + self.resample = nn.Sequential( + nn.Upsample(scale_factor=(2.0, 2.0), mode="nearest-exact"), + ops.Conv2d(dim, dim, 3, padding=1), + ) + elif mode == "upsample3d": + self.resample = nn.Sequential( + nn.Upsample(scale_factor=(2.0, 2.0), mode="nearest-exact"), + ops.Conv2d(dim, dim, 3, padding=1), + # ops.Conv2d(dim, dim//2, 3, padding=1) + ) + self.time_conv = CausalConv3d( + dim, dim * 2, (3, 1, 1), padding=(1, 0, 0)) + elif mode == "downsample2d": + self.resample = nn.Sequential( + nn.ZeroPad2d((0, 1, 0, 1)), + ops.Conv2d(dim, dim, 3, stride=(2, 2))) + elif mode == "downsample3d": + self.resample = nn.Sequential( + nn.ZeroPad2d((0, 1, 0, 1)), + ops.Conv2d(dim, dim, 3, stride=(2, 2))) + self.time_conv = CausalConv3d( + dim, dim, (3, 1, 1), stride=(2, 1, 1), padding=(0, 0, 0)) + else: + self.resample = nn.Identity() + + def forward(self, x, feat_cache=None, feat_idx=[0]): + b, c, t, h, w = x.size() + if self.mode == "upsample3d": + if feat_cache is not None: + idx = feat_idx[0] + if feat_cache[idx] is None: + feat_cache[idx] = "Rep" + feat_idx[0] += 1 + else: + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if (cache_x.shape[2] < 2 and feat_cache[idx] is not None and + feat_cache[idx] != "Rep"): + # cache last frame of last two chunk + cache_x = torch.cat( + [ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), + cache_x, + ], + dim=2, + ) + if (cache_x.shape[2] < 2 and feat_cache[idx] is not None and + feat_cache[idx] == "Rep"): + cache_x = torch.cat( + [ + torch.zeros_like(cache_x).to(cache_x.device), + cache_x + ], + dim=2, + ) + if feat_cache[idx] == "Rep": + x = self.time_conv(x) + else: + x = self.time_conv(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + x = x.reshape(b, 2, c, t, h, w) + x = torch.stack((x[:, 0, :, :, :, :], x[:, 1, :, :, :, :]), + 3) + x = x.reshape(b, c, t * 2, h, w) + t = x.shape[2] + x = rearrange(x, "b c t h w -> (b t) c h w") + x = self.resample(x) + x = rearrange(x, "(b t) c h w -> b c t h w", t=t) + + if self.mode == "downsample3d": + if feat_cache is not None: + idx = feat_idx[0] + if feat_cache[idx] is None: + feat_cache[idx] = x.clone() + feat_idx[0] += 1 + else: + cache_x = x[:, :, -1:, :, :].clone() + x = self.time_conv( + torch.cat([feat_cache[idx][:, :, -1:, :, :], x], 2)) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + return x + + +class ResidualBlock(nn.Module): + + def __init__(self, in_dim, out_dim, dropout=0.0): + super().__init__() + self.in_dim = in_dim + self.out_dim = out_dim + + # layers + self.residual = nn.Sequential( + RMS_norm(in_dim, images=False), + nn.SiLU(), + CausalConv3d(in_dim, out_dim, 3, padding=1), + RMS_norm(out_dim, images=False), + nn.SiLU(), + nn.Dropout(dropout), + CausalConv3d(out_dim, out_dim, 3, padding=1), + ) + self.shortcut = ( + CausalConv3d(in_dim, out_dim, 1) + if in_dim != out_dim else nn.Identity()) + + def forward(self, x, feat_cache=None, feat_idx=[0]): + old_x = x + for layer in self.residual: + if isinstance(layer, CausalConv3d) and feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + # cache last frame of last two chunk + cache_x = torch.cat( + [ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), + cache_x, + ], + dim=2, + ) + x = layer(x, cache_list=feat_cache, cache_idx=idx) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = layer(x) + return x + self.shortcut(old_x) + + +def patchify(x, patch_size): + if patch_size == 1: + return x + if x.dim() == 4: + x = rearrange( + x, "b c (h q) (w r) -> b (c r q) h w", q=patch_size, r=patch_size) + elif x.dim() == 5: + x = rearrange( + x, + "b c f (h q) (w r) -> b (c r q) f h w", + q=patch_size, + r=patch_size, + ) + else: + raise ValueError(f"Invalid input shape: {x.shape}") + + return x + + +def unpatchify(x, patch_size): + if patch_size == 1: + return x + + if x.dim() == 4: + x = rearrange( + x, "b (c r q) h w -> b c (h q) (w r)", q=patch_size, r=patch_size) + elif x.dim() == 5: + x = rearrange( + x, + "b (c r q) f h w -> b c f (h q) (w r)", + q=patch_size, + r=patch_size, + ) + return x + + +class AvgDown3D(nn.Module): + + def __init__( + self, + in_channels, + out_channels, + factor_t, + factor_s=1, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + self.factor_t = factor_t + self.factor_s = factor_s + self.factor = self.factor_t * self.factor_s * self.factor_s + + assert in_channels * self.factor % out_channels == 0 + self.group_size = in_channels * self.factor // out_channels + + def forward(self, x: torch.Tensor) -> torch.Tensor: + pad_t = (self.factor_t - x.shape[2] % self.factor_t) % self.factor_t + pad = (0, 0, 0, 0, pad_t, 0) + x = F.pad(x, pad) + B, C, T, H, W = x.shape + x = x.view( + B, + C, + T // self.factor_t, + self.factor_t, + H // self.factor_s, + self.factor_s, + W // self.factor_s, + self.factor_s, + ) + x = x.permute(0, 1, 3, 5, 7, 2, 4, 6).contiguous() + x = x.view( + B, + C * self.factor, + T // self.factor_t, + H // self.factor_s, + W // self.factor_s, + ) + x = x.view( + B, + self.out_channels, + self.group_size, + T // self.factor_t, + H // self.factor_s, + W // self.factor_s, + ) + x = x.mean(dim=2) + return x + + +class DupUp3D(nn.Module): + + def __init__( + self, + in_channels: int, + out_channels: int, + factor_t, + factor_s=1, + ): + super().__init__() + self.in_channels = in_channels + self.out_channels = out_channels + + self.factor_t = factor_t + self.factor_s = factor_s + self.factor = self.factor_t * self.factor_s * self.factor_s + + assert out_channels * self.factor % in_channels == 0 + self.repeats = out_channels * self.factor // in_channels + + def forward(self, x: torch.Tensor, first_chunk=False) -> torch.Tensor: + x = x.repeat_interleave(self.repeats, dim=1) + x = x.view( + x.size(0), + self.out_channels, + self.factor_t, + self.factor_s, + self.factor_s, + x.size(2), + x.size(3), + x.size(4), + ) + x = x.permute(0, 1, 5, 2, 6, 3, 7, 4).contiguous() + x = x.view( + x.size(0), + self.out_channels, + x.size(2) * self.factor_t, + x.size(4) * self.factor_s, + x.size(6) * self.factor_s, + ) + if first_chunk: + x = x[:, :, self.factor_t - 1:, :, :] + return x + + +class Down_ResidualBlock(nn.Module): + + def __init__(self, + in_dim, + out_dim, + dropout, + mult, + temperal_downsample=False, + down_flag=False): + super().__init__() + + # Shortcut path with downsample + self.avg_shortcut = AvgDown3D( + in_dim, + out_dim, + factor_t=2 if temperal_downsample else 1, + factor_s=2 if down_flag else 1, + ) + + # Main path with residual blocks and downsample + downsamples = [] + for _ in range(mult): + downsamples.append(ResidualBlock(in_dim, out_dim, dropout)) + in_dim = out_dim + + # Add the final downsample block + if down_flag: + mode = "downsample3d" if temperal_downsample else "downsample2d" + downsamples.append(Resample(out_dim, mode=mode)) + + self.downsamples = nn.Sequential(*downsamples) + + def forward(self, x, feat_cache=None, feat_idx=[0]): + x_copy = x + for module in self.downsamples: + x = module(x, feat_cache, feat_idx) + + return x + self.avg_shortcut(x_copy) + + +class Up_ResidualBlock(nn.Module): + + def __init__(self, + in_dim, + out_dim, + dropout, + mult, + temperal_upsample=False, + up_flag=False): + super().__init__() + # Shortcut path with upsample + if up_flag: + self.avg_shortcut = DupUp3D( + in_dim, + out_dim, + factor_t=2 if temperal_upsample else 1, + factor_s=2 if up_flag else 1, + ) + else: + self.avg_shortcut = None + + # Main path with residual blocks and upsample + upsamples = [] + for _ in range(mult): + upsamples.append(ResidualBlock(in_dim, out_dim, dropout)) + in_dim = out_dim + + # Add the final upsample block + if up_flag: + mode = "upsample3d" if temperal_upsample else "upsample2d" + upsamples.append(Resample(out_dim, mode=mode)) + + self.upsamples = nn.Sequential(*upsamples) + + def forward(self, x, feat_cache=None, feat_idx=[0], first_chunk=False): + x_main = x + for module in self.upsamples: + x_main = module(x_main, feat_cache, feat_idx) + if self.avg_shortcut is not None: + x_shortcut = self.avg_shortcut(x, first_chunk) + return x_main + x_shortcut + else: + return x_main + + +class Encoder3d(nn.Module): + + def __init__( + self, + dim=128, + z_dim=4, + dim_mult=[1, 2, 4, 4], + num_res_blocks=2, + attn_scales=[], + temperal_downsample=[True, True, False], + dropout=0.0, + ): + super().__init__() + self.dim = dim + self.z_dim = z_dim + self.dim_mult = dim_mult + self.num_res_blocks = num_res_blocks + self.attn_scales = attn_scales + self.temperal_downsample = temperal_downsample + + # dimensions + dims = [dim * u for u in [1] + dim_mult] + scale = 1.0 + + # init block + self.conv1 = CausalConv3d(12, dims[0], 3, padding=1) + + # downsample blocks + downsamples = [] + for i, (in_dim, out_dim) in enumerate(zip(dims[:-1], dims[1:])): + t_down_flag = ( + temperal_downsample[i] + if i < len(temperal_downsample) else False) + downsamples.append( + Down_ResidualBlock( + in_dim=in_dim, + out_dim=out_dim, + dropout=dropout, + mult=num_res_blocks, + temperal_downsample=t_down_flag, + down_flag=i != len(dim_mult) - 1, + )) + scale /= 2.0 + self.downsamples = nn.Sequential(*downsamples) + + # middle blocks + self.middle = nn.Sequential( + ResidualBlock(out_dim, out_dim, dropout), + AttentionBlock(out_dim), + ResidualBlock(out_dim, out_dim, dropout), + ) + + # # output blocks + self.head = nn.Sequential( + RMS_norm(out_dim, images=False), + nn.SiLU(), + CausalConv3d(out_dim, z_dim, 3, padding=1), + ) + + def forward(self, x, feat_cache=None, feat_idx=[0]): + + if feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + cache_x = torch.cat( + [ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), + cache_x, + ], + dim=2, + ) + x = self.conv1(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = self.conv1(x) + + ## downsamples + for layer in self.downsamples: + if feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## middle + for layer in self.middle: + if isinstance(layer, ResidualBlock) and feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## head + for layer in self.head: + if isinstance(layer, CausalConv3d) and feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + cache_x = torch.cat( + [ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), + cache_x, + ], + dim=2, + ) + x = layer(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = layer(x) + + return x + + +class Decoder3d(nn.Module): + + def __init__( + self, + dim=128, + z_dim=4, + dim_mult=[1, 2, 4, 4], + num_res_blocks=2, + attn_scales=[], + temperal_upsample=[False, True, True], + dropout=0.0, + ): + super().__init__() + self.dim = dim + self.z_dim = z_dim + self.dim_mult = dim_mult + self.num_res_blocks = num_res_blocks + self.attn_scales = attn_scales + self.temperal_upsample = temperal_upsample + + # dimensions + dims = [dim * u for u in [dim_mult[-1]] + dim_mult[::-1]] + # init block + self.conv1 = CausalConv3d(z_dim, dims[0], 3, padding=1) + + # middle blocks + self.middle = nn.Sequential( + ResidualBlock(dims[0], dims[0], dropout), + AttentionBlock(dims[0]), + ResidualBlock(dims[0], dims[0], dropout), + ) + + # upsample blocks + upsamples = [] + for i, (in_dim, out_dim) in enumerate(zip(dims[:-1], dims[1:])): + t_up_flag = temperal_upsample[i] if i < len( + temperal_upsample) else False + upsamples.append( + Up_ResidualBlock( + in_dim=in_dim, + out_dim=out_dim, + dropout=dropout, + mult=num_res_blocks + 1, + temperal_upsample=t_up_flag, + up_flag=i != len(dim_mult) - 1, + )) + self.upsamples = nn.Sequential(*upsamples) + + # output blocks + self.head = nn.Sequential( + RMS_norm(out_dim, images=False), + nn.SiLU(), + CausalConv3d(out_dim, 12, 3, padding=1), + ) + + def forward(self, x, feat_cache=None, feat_idx=[0], first_chunk=False): + if feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + cache_x = torch.cat( + [ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), + cache_x, + ], + dim=2, + ) + x = self.conv1(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = self.conv1(x) + + for layer in self.middle: + if isinstance(layer, ResidualBlock) and feat_cache is not None: + x = layer(x, feat_cache, feat_idx) + else: + x = layer(x) + + ## upsamples + for layer in self.upsamples: + if feat_cache is not None: + x = layer(x, feat_cache, feat_idx, first_chunk) + else: + x = layer(x) + + ## head + for layer in self.head: + if isinstance(layer, CausalConv3d) and feat_cache is not None: + idx = feat_idx[0] + cache_x = x[:, :, -CACHE_T:, :, :].clone() + if cache_x.shape[2] < 2 and feat_cache[idx] is not None: + cache_x = torch.cat( + [ + feat_cache[idx][:, :, -1, :, :].unsqueeze(2).to( + cache_x.device), + cache_x, + ], + dim=2, + ) + x = layer(x, feat_cache[idx]) + feat_cache[idx] = cache_x + feat_idx[0] += 1 + else: + x = layer(x) + return x + + +def count_conv3d(model): + count = 0 + for m in model.modules(): + if isinstance(m, CausalConv3d): + count += 1 + return count + + +class WanVAE(nn.Module): + + def __init__( + self, + dim=160, + dec_dim=256, + z_dim=16, + dim_mult=[1, 2, 4, 4], + num_res_blocks=2, + attn_scales=[], + temperal_downsample=[True, True, False], + dropout=0.0, + ): + super().__init__() + self.dim = dim + self.z_dim = z_dim + self.dim_mult = dim_mult + self.num_res_blocks = num_res_blocks + self.attn_scales = attn_scales + self.temperal_downsample = temperal_downsample + self.temperal_upsample = temperal_downsample[::-1] + + # modules + self.encoder = Encoder3d( + dim, + z_dim * 2, + dim_mult, + num_res_blocks, + attn_scales, + self.temperal_downsample, + dropout, + ) + self.conv1 = CausalConv3d(z_dim * 2, z_dim * 2, 1) + self.conv2 = CausalConv3d(z_dim, z_dim, 1) + self.decoder = Decoder3d( + dec_dim, + z_dim, + dim_mult, + num_res_blocks, + attn_scales, + self.temperal_upsample, + dropout, + ) + + def encode(self, x): + self.clear_cache() + x = patchify(x, patch_size=2) + t = x.shape[2] + iter_ = 1 + (t - 1) // 4 + for i in range(iter_): + self._enc_conv_idx = [0] + if i == 0: + out = self.encoder( + x[:, :, :1, :, :], + feat_cache=self._enc_feat_map, + feat_idx=self._enc_conv_idx, + ) + else: + out_ = self.encoder( + x[:, :, 1 + 4 * (i - 1):1 + 4 * i, :, :], + feat_cache=self._enc_feat_map, + feat_idx=self._enc_conv_idx, + ) + out = torch.cat([out, out_], 2) + mu, log_var = self.conv1(out).chunk(2, dim=1) + self.clear_cache() + return mu + + def decode(self, z): + self.clear_cache() + iter_ = z.shape[2] + x = self.conv2(z) + for i in range(iter_): + self._conv_idx = [0] + if i == 0: + out = self.decoder( + x[:, :, i:i + 1, :, :], + feat_cache=self._feat_map, + feat_idx=self._conv_idx, + first_chunk=True, + ) + else: + out_ = self.decoder( + x[:, :, i:i + 1, :, :], + feat_cache=self._feat_map, + feat_idx=self._conv_idx, + ) + out = torch.cat([out, out_], 2) + out = unpatchify(out, patch_size=2) + self.clear_cache() + return out + + def reparameterize(self, mu, log_var): + std = torch.exp(0.5 * log_var) + eps = torch.randn_like(std) + return eps * std + mu + + def sample(self, imgs, deterministic=False): + mu, log_var = self.encode(imgs) + if deterministic: + return mu + std = torch.exp(0.5 * log_var.clamp(-30.0, 20.0)) + return mu + std * torch.randn_like(std) + + def clear_cache(self): + self._conv_num = count_conv3d(self.decoder) + self._conv_idx = [0] + self._feat_map = [None] * self._conv_num + # cache encode + self._enc_conv_num = count_conv3d(self.encoder) + self._enc_conv_idx = [0] + self._enc_feat_map = [None] * self._enc_conv_num diff --git a/comfy/lora.py b/comfy/lora.py new file mode 100644 index 0000000000000000000000000000000000000000..36d26293a42047c023b78d7ac6fd1f65acf36a74 --- /dev/null +++ b/comfy/lora.py @@ -0,0 +1,415 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +from __future__ import annotations +import comfy.utils +import comfy.model_management +import comfy.model_base +import comfy.weight_adapter as weight_adapter +import logging +import torch + +LORA_CLIP_MAP = { + "mlp.fc1": "mlp_fc1", + "mlp.fc2": "mlp_fc2", + "self_attn.k_proj": "self_attn_k_proj", + "self_attn.q_proj": "self_attn_q_proj", + "self_attn.v_proj": "self_attn_v_proj", + "self_attn.out_proj": "self_attn_out_proj", +} + + +def load_lora(lora, to_load, log_missing=True): + patch_dict = {} + loaded_keys = set() + for x in to_load: + alpha_name = "{}.alpha".format(x) + alpha = None + if alpha_name in lora.keys(): + alpha = lora[alpha_name].item() + loaded_keys.add(alpha_name) + + dora_scale_name = "{}.dora_scale".format(x) + dora_scale = None + if dora_scale_name in lora.keys(): + dora_scale = lora[dora_scale_name] + loaded_keys.add(dora_scale_name) + + for adapter_cls in weight_adapter.adapters: + adapter = adapter_cls.load(x, lora, alpha, dora_scale, loaded_keys) + if adapter is not None: + patch_dict[to_load[x]] = adapter + loaded_keys.update(adapter.loaded_keys) + continue + + w_norm_name = "{}.w_norm".format(x) + b_norm_name = "{}.b_norm".format(x) + w_norm = lora.get(w_norm_name, None) + b_norm = lora.get(b_norm_name, None) + + if w_norm is not None: + loaded_keys.add(w_norm_name) + patch_dict[to_load[x]] = ("diff", (w_norm,)) + if b_norm is not None: + loaded_keys.add(b_norm_name) + patch_dict["{}.bias".format(to_load[x][:-len(".weight")])] = ("diff", (b_norm,)) + + diff_name = "{}.diff".format(x) + diff_weight = lora.get(diff_name, None) + if diff_weight is not None: + patch_dict[to_load[x]] = ("diff", (diff_weight,)) + loaded_keys.add(diff_name) + + diff_bias_name = "{}.diff_b".format(x) + diff_bias = lora.get(diff_bias_name, None) + if diff_bias is not None: + patch_dict["{}.bias".format(to_load[x][:-len(".weight")])] = ("diff", (diff_bias,)) + loaded_keys.add(diff_bias_name) + + set_weight_name = "{}.set_weight".format(x) + set_weight = lora.get(set_weight_name, None) + if set_weight is not None: + patch_dict[to_load[x]] = ("set", (set_weight,)) + loaded_keys.add(set_weight_name) + + if log_missing: + for x in lora.keys(): + if x not in loaded_keys: + logging.warning("lora key not loaded: {}".format(x)) + + return patch_dict + +def model_lora_keys_clip(model, key_map={}): + sdk = model.state_dict().keys() + for k in sdk: + if k.endswith(".weight"): + key_map["text_encoders.{}".format(k[:-len(".weight")])] = k #generic lora format without any weird key names + + text_model_lora_key = "lora_te_text_model_encoder_layers_{}_{}" + clip_l_present = False + clip_g_present = False + for b in range(32): #TODO: clean up + for c in LORA_CLIP_MAP: + k = "clip_h.transformer.text_model.encoder.layers.{}.{}.weight".format(b, c) + if k in sdk: + lora_key = text_model_lora_key.format(b, LORA_CLIP_MAP[c]) + key_map[lora_key] = k + lora_key = "lora_te1_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) + key_map[lora_key] = k + lora_key = "text_encoder.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora + key_map[lora_key] = k + + k = "clip_l.transformer.text_model.encoder.layers.{}.{}.weight".format(b, c) + if k in sdk: + lora_key = text_model_lora_key.format(b, LORA_CLIP_MAP[c]) + key_map[lora_key] = k + lora_key = "lora_te1_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #SDXL base + key_map[lora_key] = k + clip_l_present = True + lora_key = "text_encoder.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora + key_map[lora_key] = k + + k = "clip_g.transformer.text_model.encoder.layers.{}.{}.weight".format(b, c) + if k in sdk: + clip_g_present = True + if clip_l_present: + lora_key = "lora_te2_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #SDXL base + key_map[lora_key] = k + lora_key = "text_encoder_2.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora + key_map[lora_key] = k + else: + lora_key = "lora_te_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #TODO: test if this is correct for SDXL-Refiner + key_map[lora_key] = k + lora_key = "text_encoder.text_model.encoder.layers.{}.{}".format(b, c) #diffusers lora + key_map[lora_key] = k + lora_key = "lora_prior_te_text_model_encoder_layers_{}_{}".format(b, LORA_CLIP_MAP[c]) #cascade lora: TODO put lora key prefix in the model config + key_map[lora_key] = k + + for k in sdk: + if k.endswith(".weight"): + if k.startswith("t5xxl.transformer."):#OneTrainer SD3 and Flux lora + l_key = k[len("t5xxl.transformer."):-len(".weight")] + t5_index = 1 + if clip_g_present: + t5_index += 1 + if clip_l_present: + t5_index += 1 + if t5_index == 2: + key_map["lora_te{}_{}".format(t5_index, l_key.replace(".", "_"))] = k #OneTrainer Flux + t5_index += 1 + + key_map["lora_te{}_{}".format(t5_index, l_key.replace(".", "_"))] = k + elif k.startswith("hydit_clip.transformer.bert."): #HunyuanDiT Lora + l_key = k[len("hydit_clip.transformer.bert."):-len(".weight")] + lora_key = "lora_te1_{}".format(l_key.replace(".", "_")) + key_map[lora_key] = k + + + k = "clip_g.transformer.text_projection.weight" + if k in sdk: + key_map["lora_prior_te_text_projection"] = k #cascade lora? + # key_map["text_encoder.text_projection"] = k #TODO: check if other lora have the text_projection too + key_map["lora_te2_text_projection"] = k #OneTrainer SD3 lora + + k = "clip_l.transformer.text_projection.weight" + if k in sdk: + key_map["lora_te1_text_projection"] = k #OneTrainer SD3 lora, not necessary but omits warning + + return key_map + +def model_lora_keys_unet(model, key_map={}): + sd = model.state_dict() + sdk = sd.keys() + + for k in sdk: + if k.startswith("diffusion_model."): + if k.endswith(".weight"): + key_lora = k[len("diffusion_model."):-len(".weight")].replace(".", "_") + key_map["lora_unet_{}".format(key_lora)] = k + key_map["{}".format(k[:-len(".weight")])] = k #generic lora format without any weird key names + else: + key_map["{}".format(k)] = k #generic lora format for not .weight without any weird key names + + diffusers_keys = comfy.utils.unet_to_diffusers(model.model_config.unet_config) + for k in diffusers_keys: + if k.endswith(".weight"): + unet_key = "diffusion_model.{}".format(diffusers_keys[k]) + key_lora = k[:-len(".weight")].replace(".", "_") + key_map["lora_unet_{}".format(key_lora)] = unet_key + key_map["lycoris_{}".format(key_lora)] = unet_key #simpletuner lycoris format + + diffusers_lora_prefix = ["", "unet."] + for p in diffusers_lora_prefix: + diffusers_lora_key = "{}{}".format(p, k[:-len(".weight")].replace(".to_", ".processor.to_")) + if diffusers_lora_key.endswith(".to_out.0"): + diffusers_lora_key = diffusers_lora_key[:-2] + key_map[diffusers_lora_key] = unet_key + + if isinstance(model, comfy.model_base.StableCascade_C): + for k in sdk: + if k.startswith("diffusion_model."): + if k.endswith(".weight"): + key_lora = k[len("diffusion_model."):-len(".weight")].replace(".", "_") + key_map["lora_prior_unet_{}".format(key_lora)] = k + + if isinstance(model, comfy.model_base.SD3): #Diffusers lora SD3 + diffusers_keys = comfy.utils.mmdit_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.") + for k in diffusers_keys: + if k.endswith(".weight"): + to = diffusers_keys[k] + key_lora = "transformer.{}".format(k[:-len(".weight")]) #regular diffusers sd3 lora format + key_map[key_lora] = to + + key_lora = "base_model.model.{}".format(k[:-len(".weight")]) #format for flash-sd3 lora and others? + key_map[key_lora] = to + + key_lora = "lora_transformer_{}".format(k[:-len(".weight")].replace(".", "_")) #OneTrainer lora + key_map[key_lora] = to + + key_lora = "lycoris_{}".format(k[:-len(".weight")].replace(".", "_")) #simpletuner lycoris format + key_map[key_lora] = to + + if isinstance(model, comfy.model_base.AuraFlow): #Diffusers lora AuraFlow + diffusers_keys = comfy.utils.auraflow_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.") + for k in diffusers_keys: + if k.endswith(".weight"): + to = diffusers_keys[k] + key_lora = "transformer.{}".format(k[:-len(".weight")]) #simpletrainer and probably regular diffusers lora format + key_map[key_lora] = to + + if isinstance(model, comfy.model_base.PixArt): + diffusers_keys = comfy.utils.pixart_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.") + for k in diffusers_keys: + if k.endswith(".weight"): + to = diffusers_keys[k] + key_lora = "transformer.{}".format(k[:-len(".weight")]) #default format + key_map[key_lora] = to + + key_lora = "base_model.model.{}".format(k[:-len(".weight")]) #diffusers training script + key_map[key_lora] = to + + key_lora = "unet.base_model.model.{}".format(k[:-len(".weight")]) #old reference peft script + key_map[key_lora] = to + + if isinstance(model, comfy.model_base.HunyuanDiT): + for k in sdk: + if k.startswith("diffusion_model.") and k.endswith(".weight"): + key_lora = k[len("diffusion_model."):-len(".weight")] + key_map["base_model.model.{}".format(key_lora)] = k #official hunyuan lora format + + if isinstance(model, comfy.model_base.Flux): #Diffusers lora Flux + diffusers_keys = comfy.utils.flux_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.") + for k in diffusers_keys: + if k.endswith(".weight"): + to = diffusers_keys[k] + key_map["transformer.{}".format(k[:-len(".weight")])] = to #simpletrainer and probably regular diffusers flux lora format + key_map["lycoris_{}".format(k[:-len(".weight")].replace(".", "_"))] = to #simpletrainer lycoris + key_map["lora_transformer_{}".format(k[:-len(".weight")].replace(".", "_"))] = to #onetrainer + for k in sdk: + hidden_size = model.model_config.unet_config.get("hidden_size", 0) + if k.endswith(".weight") and ".linear1." in k: + key_map["{}".format(k.replace(".linear1.weight", ".linear1_qkv"))] = (k, (0, 0, hidden_size * 3)) + + if isinstance(model, comfy.model_base.GenmoMochi): + for k in sdk: + if k.startswith("diffusion_model.") and k.endswith(".weight"): #Official Mochi lora format + key_lora = k[len("diffusion_model."):-len(".weight")] + key_map["{}".format(key_lora)] = k + + if isinstance(model, comfy.model_base.HunyuanVideo): + for k in sdk: + if k.startswith("diffusion_model.") and k.endswith(".weight"): + # diffusion-pipe lora format + key_lora = k + key_lora = key_lora.replace("_mod.lin.", "_mod.linear.").replace("_attn.qkv.", "_attn_qkv.").replace("_attn.proj.", "_attn_proj.") + key_lora = key_lora.replace("mlp.0.", "mlp.fc1.").replace("mlp.2.", "mlp.fc2.") + key_lora = key_lora.replace(".modulation.lin.", ".modulation.linear.") + key_lora = key_lora[len("diffusion_model."):-len(".weight")] + key_map["transformer.{}".format(key_lora)] = k + key_map["diffusion_model.{}".format(key_lora)] = k # Old loras + + if isinstance(model, comfy.model_base.HiDream): + for k in sdk: + if k.startswith("diffusion_model."): + if k.endswith(".weight"): + key_lora = k[len("diffusion_model."):-len(".weight")] + key_map["lycoris_{}".format(key_lora.replace(".", "_"))] = k #SimpleTuner lycoris format + key_map["transformer.{}".format(key_lora)] = k #SimpleTuner regular format + + if isinstance(model, comfy.model_base.ACEStep): + for k in sdk: + if k.startswith("diffusion_model.") and k.endswith(".weight"): #Official ACE step lora format + key_lora = k[len("diffusion_model."):-len(".weight")] + key_map["{}".format(key_lora)] = k + + if isinstance(model, comfy.model_base.Omnigen2): + for k in sdk: + if k.startswith("diffusion_model.") and k.endswith(".weight"): + key_lora = k[len("diffusion_model."):-len(".weight")] + key_map["{}".format(key_lora)] = k + + if isinstance(model, comfy.model_base.QwenImage): + for k in sdk: + if k.startswith("diffusion_model.") and k.endswith(".weight"): #QwenImage lora format + key_lora = k[len("diffusion_model."):-len(".weight")] + # Direct mapping for transformer_blocks format (QwenImage LoRA format) + key_map["{}".format(key_lora)] = k + # Support transformer prefix format + key_map["transformer.{}".format(key_lora)] = k + key_map["lycoris_{}".format(key_lora.replace(".", "_"))] = k #SimpleTuner lycoris format + + return key_map + + +def pad_tensor_to_shape(tensor: torch.Tensor, new_shape: list[int]) -> torch.Tensor: + """ + Pad a tensor to a new shape with zeros. + + Args: + tensor (torch.Tensor): The original tensor to be padded. + new_shape (List[int]): The desired shape of the padded tensor. + + Returns: + torch.Tensor: A new tensor padded with zeros to the specified shape. + + Note: + If the new shape is smaller than the original tensor in any dimension, + the original tensor will be truncated in that dimension. + """ + if any([new_shape[i] < tensor.shape[i] for i in range(len(new_shape))]): + raise ValueError("The new shape must be larger than the original tensor in all dimensions") + + if len(new_shape) != len(tensor.shape): + raise ValueError("The new shape must have the same number of dimensions as the original tensor") + + # Create a new tensor filled with zeros + padded_tensor = torch.zeros(new_shape, dtype=tensor.dtype, device=tensor.device) + + # Create slicing tuples for both tensors + orig_slices = tuple(slice(0, dim) for dim in tensor.shape) + new_slices = tuple(slice(0, dim) for dim in tensor.shape) + + # Copy the original tensor into the new tensor + padded_tensor[new_slices] = tensor[orig_slices] + + return padded_tensor + +def calculate_weight(patches, weight, key, intermediate_dtype=torch.float32, original_weights=None): + for p in patches: + strength = p[0] + v = p[1] + strength_model = p[2] + offset = p[3] + function = p[4] + if function is None: + function = lambda a: a + + old_weight = None + if offset is not None: + old_weight = weight + weight = weight.narrow(offset[0], offset[1], offset[2]) + + if strength_model != 1.0: + weight *= strength_model + + if isinstance(v, list): + v = (calculate_weight(v[1:], v[0][1](comfy.model_management.cast_to_device(v[0][0], weight.device, intermediate_dtype, copy=True), inplace=True), key, intermediate_dtype=intermediate_dtype), ) + + if isinstance(v, weight_adapter.WeightAdapterBase): + output = v.calculate_weight(weight, key, strength, strength_model, offset, function, intermediate_dtype, original_weights) + if output is None: + logging.warning("Calculate Weight Failed: {} {}".format(v.name, key)) + else: + weight = output + if old_weight is not None: + weight = old_weight + continue + + if len(v) == 1: + patch_type = "diff" + elif len(v) == 2: + patch_type = v[0] + v = v[1] + + if patch_type == "diff": + diff: torch.Tensor = v[0] + # An extra flag to pad the weight if the diff's shape is larger than the weight + do_pad_weight = len(v) > 1 and v[1]['pad_weight'] + if do_pad_weight and diff.shape != weight.shape: + logging.info("Pad weight {} from {} to shape: {}".format(key, weight.shape, diff.shape)) + weight = pad_tensor_to_shape(weight, diff.shape) + + if strength != 0.0: + if diff.shape != weight.shape: + logging.warning("WARNING SHAPE MISMATCH {} WEIGHT NOT MERGED {} != {}".format(key, diff.shape, weight.shape)) + else: + weight += function(strength * comfy.model_management.cast_to_device(diff, weight.device, weight.dtype)) + elif patch_type == "set": + weight.copy_(v[0]) + elif patch_type == "model_as_lora": + target_weight: torch.Tensor = v[0] + diff_weight = comfy.model_management.cast_to_device(target_weight, weight.device, intermediate_dtype) - \ + comfy.model_management.cast_to_device(original_weights[key][0][0], weight.device, intermediate_dtype) + weight += function(strength * comfy.model_management.cast_to_device(diff_weight, weight.device, weight.dtype)) + else: + logging.warning("patch type not recognized {} {}".format(patch_type, key)) + + if old_weight is not None: + weight = old_weight + + return weight diff --git a/comfy/lora_convert.py b/comfy/lora_convert.py new file mode 100644 index 0000000000000000000000000000000000000000..9d8d21efeab26718fdd7f7f14de82f60c4a4ebdc --- /dev/null +++ b/comfy/lora_convert.py @@ -0,0 +1,43 @@ +import torch +import comfy.utils + + +def convert_lora_bfl_control(sd): #BFL loras for Flux + sd_out = {} + for k in sd: + k_to = "diffusion_model.{}".format(k.replace(".lora_B.bias", ".diff_b").replace("_norm.scale", "_norm.scale.set_weight")) + sd_out[k_to] = sd[k] + + sd_out["diffusion_model.img_in.reshape_weight"] = torch.tensor([sd["img_in.lora_B.weight"].shape[0], sd["img_in.lora_A.weight"].shape[1]]) + return sd_out + + +def convert_lora_wan_fun(sd): #Wan Fun loras + return comfy.utils.state_dict_prefix_replace(sd, {"lora_unet__": "lora_unet_"}) + +def convert_uso_lora(sd): + sd_out = {} + for k in sd: + tensor = sd[k] + k_to = "diffusion_model.{}".format(k.replace(".down.weight", ".lora_down.weight") + .replace(".up.weight", ".lora_up.weight") + .replace(".qkv_lora2.", ".txt_attn.qkv.") + .replace(".qkv_lora1.", ".img_attn.qkv.") + .replace(".proj_lora1.", ".img_attn.proj.") + .replace(".proj_lora2.", ".txt_attn.proj.") + .replace(".qkv_lora.", ".linear1_qkv.") + .replace(".proj_lora.", ".linear2.") + .replace(".processor.", ".") + ) + sd_out[k_to] = tensor + return sd_out + + +def convert_lora(sd): + if "img_in.lora_A.weight" in sd and "single_blocks.0.norm.key_norm.scale" in sd: + return convert_lora_bfl_control(sd) + if "lora_unet__blocks_0_cross_attn_k.lora_down.weight" in sd: + return convert_lora_wan_fun(sd) + if "single_blocks.37.processor.qkv_lora.up.weight" in sd and "double_blocks.18.processor.qkv_lora2.up.weight" in sd: + return convert_uso_lora(sd) + return sd diff --git a/comfy/model_base.py b/comfy/model_base.py new file mode 100644 index 0000000000000000000000000000000000000000..252dfcf69d6dac414355fe6a98aa618621274000 --- /dev/null +++ b/comfy/model_base.py @@ -0,0 +1,1467 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import comfy.ldm.hunyuan3dv2_1 +import comfy.ldm.hunyuan3dv2_1.hunyuandit +import torch +import logging +from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep +from comfy.ldm.cascade.stage_c import StageC +from comfy.ldm.cascade.stage_b import StageB +from comfy.ldm.modules.encoders.noise_aug_modules import CLIPEmbeddingNoiseAugmentation +from comfy.ldm.modules.diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation +from comfy.ldm.modules.diffusionmodules.mmdit import OpenAISignatureMMDITWrapper +import comfy.ldm.genmo.joint_model.asymm_models_joint +import comfy.ldm.aura.mmdit +import comfy.ldm.pixart.pixartms +import comfy.ldm.hydit.models +import comfy.ldm.audio.dit +import comfy.ldm.audio.embedders +import comfy.ldm.flux.model +import comfy.ldm.lightricks.model +import comfy.ldm.hunyuan_video.model +import comfy.ldm.cosmos.model +import comfy.ldm.cosmos.predict2 +import comfy.ldm.lumina.model +import comfy.ldm.wan.model +import comfy.ldm.hunyuan3d.model +import comfy.ldm.hidream.model +import comfy.ldm.chroma.model +import comfy.ldm.chroma_radiance.model +import comfy.ldm.ace.model +import comfy.ldm.omnigen.omnigen2 +import comfy.ldm.qwen_image.model + +import comfy.model_management +import comfy.patcher_extension +import comfy.conds +import comfy.ops +from enum import Enum +from . import utils +import comfy.latent_formats +import comfy.model_sampling +import math +from typing import TYPE_CHECKING +if TYPE_CHECKING: + from comfy.model_patcher import ModelPatcher + +class ModelType(Enum): + EPS = 1 + V_PREDICTION = 2 + V_PREDICTION_EDM = 3 + STABLE_CASCADE = 4 + EDM = 5 + FLOW = 6 + V_PREDICTION_CONTINUOUS = 7 + FLUX = 8 + IMG_TO_IMG = 9 + FLOW_COSMOS = 10 + + +def model_sampling(model_config, model_type): + s = comfy.model_sampling.ModelSamplingDiscrete + + if model_type == ModelType.EPS: + c = comfy.model_sampling.EPS + elif model_type == ModelType.V_PREDICTION: + c = comfy.model_sampling.V_PREDICTION + elif model_type == ModelType.V_PREDICTION_EDM: + c = comfy.model_sampling.V_PREDICTION + s = comfy.model_sampling.ModelSamplingContinuousEDM + elif model_type == ModelType.FLOW: + c = comfy.model_sampling.CONST + s = comfy.model_sampling.ModelSamplingDiscreteFlow + elif model_type == ModelType.STABLE_CASCADE: + c = comfy.model_sampling.EPS + s = comfy.model_sampling.StableCascadeSampling + elif model_type == ModelType.EDM: + c = comfy.model_sampling.EDM + s = comfy.model_sampling.ModelSamplingContinuousEDM + elif model_type == ModelType.V_PREDICTION_CONTINUOUS: + c = comfy.model_sampling.V_PREDICTION + s = comfy.model_sampling.ModelSamplingContinuousV + elif model_type == ModelType.FLUX: + c = comfy.model_sampling.CONST + s = comfy.model_sampling.ModelSamplingFlux + elif model_type == ModelType.IMG_TO_IMG: + c = comfy.model_sampling.IMG_TO_IMG + elif model_type == ModelType.FLOW_COSMOS: + c = comfy.model_sampling.COSMOS_RFLOW + s = comfy.model_sampling.ModelSamplingCosmosRFlow + + class ModelSampling(s, c): + pass + + return ModelSampling(model_config) + + +def convert_tensor(extra, dtype, device): + if hasattr(extra, "dtype"): + if extra.dtype != torch.int and extra.dtype != torch.long: + extra = comfy.model_management.cast_to_device(extra, device, dtype) + else: + extra = comfy.model_management.cast_to_device(extra, device, None) + return extra + + +class BaseModel(torch.nn.Module): + def __init__(self, model_config, model_type=ModelType.EPS, device=None, unet_model=UNetModel): + super().__init__() + + unet_config = model_config.unet_config + self.latent_format = model_config.latent_format + self.model_config = model_config + self.manual_cast_dtype = model_config.manual_cast_dtype + self.device = device + self.current_patcher: 'ModelPatcher' = None + + if not unet_config.get("disable_unet_model_creation", False): + if model_config.custom_operations is None: + fp8 = model_config.optimizations.get("fp8", False) + operations = comfy.ops.pick_operations(unet_config.get("dtype", None), self.manual_cast_dtype, fp8_optimizations=fp8, scaled_fp8=model_config.scaled_fp8) + else: + operations = model_config.custom_operations + self.diffusion_model = unet_model(**unet_config, device=device, operations=operations) + if comfy.model_management.force_channels_last(): + self.diffusion_model.to(memory_format=torch.channels_last) + logging.debug("using channels last mode for diffusion model") + logging.info("model weight dtype {}, manual cast: {}".format(self.get_dtype(), self.manual_cast_dtype)) + self.model_type = model_type + self.model_sampling = model_sampling(model_config, model_type) + + self.adm_channels = unet_config.get("adm_in_channels", None) + if self.adm_channels is None: + self.adm_channels = 0 + + self.concat_keys = () + logging.info("model_type {}".format(model_type.name)) + logging.debug("adm {}".format(self.adm_channels)) + self.memory_usage_factor = model_config.memory_usage_factor + self.memory_usage_factor_conds = () + self.memory_usage_shape_process = {} + + def apply_model(self, x, t, c_concat=None, c_crossattn=None, control=None, transformer_options={}, **kwargs): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self._apply_model, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.APPLY_MODEL, transformer_options) + ).execute(x, t, c_concat, c_crossattn, control, transformer_options, **kwargs) + + def _apply_model(self, x, t, c_concat=None, c_crossattn=None, control=None, transformer_options={}, **kwargs): + sigma = t + xc = self.model_sampling.calculate_input(sigma, x) + + if c_concat is not None: + xc = torch.cat([xc] + [comfy.model_management.cast_to_device(c_concat, xc.device, xc.dtype)], dim=1) + + context = c_crossattn + dtype = self.get_dtype() + + if self.manual_cast_dtype is not None: + dtype = self.manual_cast_dtype + + xc = xc.to(dtype) + device = xc.device + t = self.model_sampling.timestep(t).float() + if context is not None: + context = comfy.model_management.cast_to_device(context, device, dtype) + + extra_conds = {} + for o in kwargs: + extra = kwargs[o] + + if hasattr(extra, "dtype"): + extra = convert_tensor(extra, dtype, device) + elif isinstance(extra, list): + ex = [] + for ext in extra: + ex.append(convert_tensor(ext, dtype, device)) + extra = ex + extra_conds[o] = extra + + t = self.process_timestep(t, x=x, **extra_conds) + model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() + return self.model_sampling.calculate_denoised(sigma, model_output, x) + + def process_timestep(self, timestep, **kwargs): + return timestep + + def get_dtype(self): + return self.diffusion_model.dtype + + def encode_adm(self, **kwargs): + return None + + def concat_cond(self, **kwargs): + if len(self.concat_keys) > 0: + cond_concat = [] + denoise_mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None)) + concat_latent_image = kwargs.get("concat_latent_image", None) + if concat_latent_image is None: + concat_latent_image = kwargs.get("latent_image", None) + else: + concat_latent_image = self.process_latent_in(concat_latent_image) + + noise = kwargs.get("noise", None) + device = kwargs["device"] + + if concat_latent_image.shape[1:] != noise.shape[1:]: + concat_latent_image = utils.common_upscale(concat_latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center") + if noise.ndim == 5: + if concat_latent_image.shape[-3] < noise.shape[-3]: + concat_latent_image = torch.nn.functional.pad(concat_latent_image, (0, 0, 0, 0, 0, noise.shape[-3] - concat_latent_image.shape[-3]), "constant", 0) + else: + concat_latent_image = concat_latent_image[:, :, :noise.shape[-3]] + + concat_latent_image = utils.resize_to_batch_size(concat_latent_image, noise.shape[0]) + + if denoise_mask is not None: + if len(denoise_mask.shape) == len(noise.shape): + denoise_mask = denoise_mask[:, :1] + + num_dim = noise.ndim - 2 + denoise_mask = denoise_mask.reshape((-1, 1) + tuple(denoise_mask.shape[-num_dim:])) + if denoise_mask.shape[-2:] != noise.shape[-2:]: + denoise_mask = utils.common_upscale(denoise_mask, noise.shape[-1], noise.shape[-2], "bilinear", "center") + denoise_mask = utils.resize_to_batch_size(denoise_mask.round(), noise.shape[0]) + + for ck in self.concat_keys: + if denoise_mask is not None: + if ck == "mask": + cond_concat.append(denoise_mask.to(device)) + elif ck == "masked_image": + cond_concat.append(concat_latent_image.to(device)) # NOTE: the latent_image should be masked by the mask in pixel space + elif ck == "mask_inverted": + cond_concat.append(1.0 - denoise_mask.to(device)) + else: + if ck == "mask": + cond_concat.append(torch.ones_like(noise)[:, :1]) + elif ck == "masked_image": + cond_concat.append(self.blank_inpaint_image_like(noise)) + elif ck == "mask_inverted": + cond_concat.append(torch.zeros_like(noise)[:, :1]) + if ck == "concat_image": + if concat_latent_image is not None: + cond_concat.append(concat_latent_image.to(device)) + else: + cond_concat.append(torch.zeros_like(noise)) + data = torch.cat(cond_concat, dim=1) + return data + return None + + def extra_conds(self, **kwargs): + out = {} + concat_cond = self.concat_cond(**kwargs) + if concat_cond is not None: + out['c_concat'] = comfy.conds.CONDNoiseShape(concat_cond) + + adm = self.encode_adm(**kwargs) + if adm is not None: + out['y'] = comfy.conds.CONDRegular(adm) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn) + + cross_attn_cnet = kwargs.get("cross_attn_controlnet", None) + if cross_attn_cnet is not None: + out['crossattn_controlnet'] = comfy.conds.CONDCrossAttn(cross_attn_cnet) + + c_concat = kwargs.get("noise_concat", None) + if c_concat is not None: + out['c_concat'] = comfy.conds.CONDNoiseShape(c_concat) + + return out + + def load_model_weights(self, sd, unet_prefix=""): + to_load = {} + keys = list(sd.keys()) + for k in keys: + if k.startswith(unet_prefix): + to_load[k[len(unet_prefix):]] = sd.pop(k) + + to_load = self.model_config.process_unet_state_dict(to_load) + m, u = self.diffusion_model.load_state_dict(to_load, strict=False) + if len(m) > 0: + logging.warning("unet missing: {}".format(m)) + + if len(u) > 0: + logging.warning("unet unexpected: {}".format(u)) + del to_load + return self + + def process_latent_in(self, latent): + return self.latent_format.process_in(latent) + + def process_latent_out(self, latent): + return self.latent_format.process_out(latent) + + def state_dict_for_saving(self, clip_state_dict=None, vae_state_dict=None, clip_vision_state_dict=None): + extra_sds = [] + if clip_state_dict is not None: + extra_sds.append(self.model_config.process_clip_state_dict_for_saving(clip_state_dict)) + if vae_state_dict is not None: + extra_sds.append(self.model_config.process_vae_state_dict_for_saving(vae_state_dict)) + if clip_vision_state_dict is not None: + extra_sds.append(self.model_config.process_clip_vision_state_dict_for_saving(clip_vision_state_dict)) + + unet_state_dict = self.diffusion_model.state_dict() + + if self.model_config.scaled_fp8 is not None: + unet_state_dict["scaled_fp8"] = torch.tensor([], dtype=self.model_config.scaled_fp8) + + unet_state_dict = self.model_config.process_unet_state_dict_for_saving(unet_state_dict) + + if self.model_type == ModelType.V_PREDICTION: + unet_state_dict["v_pred"] = torch.tensor([]) + + for sd in extra_sds: + unet_state_dict.update(sd) + + return unet_state_dict + + def set_inpaint(self): + self.concat_keys = ("mask", "masked_image") + def blank_inpaint_image_like(latent_image): + blank_image = torch.ones_like(latent_image) + # these are the values for "zero" in pixel space translated to latent space + blank_image[:,0] *= 0.8223 + blank_image[:,1] *= -0.6876 + blank_image[:,2] *= 0.6364 + blank_image[:,3] *= 0.1380 + return blank_image + self.blank_inpaint_image_like = blank_inpaint_image_like + + def scale_latent_inpaint(self, sigma, noise, latent_image, **kwargs): + return self.model_sampling.noise_scaling(sigma.reshape([sigma.shape[0]] + [1] * (len(noise.shape) - 1)), noise, latent_image) + + def memory_required(self, input_shape, cond_shapes={}): + input_shapes = [input_shape] + for c in self.memory_usage_factor_conds: + shape = cond_shapes.get(c, None) + if shape is not None: + if c in self.memory_usage_shape_process: + out = [] + for s in shape: + out.append(self.memory_usage_shape_process[c](s)) + shape = out + + if len(shape) > 0: + input_shapes += shape + + if comfy.model_management.xformers_enabled() or comfy.model_management.pytorch_attention_flash_attention(): + dtype = self.get_dtype() + if self.manual_cast_dtype is not None: + dtype = self.manual_cast_dtype + #TODO: this needs to be tweaked + area = sum(map(lambda input_shape: input_shape[0] * math.prod(input_shape[2:]), input_shapes)) + return (area * comfy.model_management.dtype_size(dtype) * 0.01 * self.memory_usage_factor) * (1024 * 1024) + else: + #TODO: this formula might be too aggressive since I tweaked the sub-quad and split algorithms to use less memory. + area = sum(map(lambda input_shape: input_shape[0] * math.prod(input_shape[2:]), input_shapes)) + return (area * 0.15 * self.memory_usage_factor) * (1024 * 1024) + + def extra_conds_shapes(self, **kwargs): + return {} + + +def unclip_adm(unclip_conditioning, device, noise_augmentor, noise_augment_merge=0.0, seed=None): + adm_inputs = [] + weights = [] + noise_aug = [] + for unclip_cond in unclip_conditioning: + for adm_cond in unclip_cond["clip_vision_output"].image_embeds: + weight = unclip_cond["strength"] + noise_augment = unclip_cond["noise_augmentation"] + noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment) + c_adm, noise_level_emb = noise_augmentor(adm_cond.to(device), noise_level=torch.tensor([noise_level], device=device), seed=seed) + adm_out = torch.cat((c_adm, noise_level_emb), 1) * weight + weights.append(weight) + noise_aug.append(noise_augment) + adm_inputs.append(adm_out) + + if len(noise_aug) > 1: + adm_out = torch.stack(adm_inputs).sum(0) + noise_augment = noise_augment_merge + noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment) + c_adm, noise_level_emb = noise_augmentor(adm_out[:, :noise_augmentor.time_embed.dim], noise_level=torch.tensor([noise_level], device=device)) + adm_out = torch.cat((c_adm, noise_level_emb), 1) + + return adm_out + +class SD21UNCLIP(BaseModel): + def __init__(self, model_config, noise_aug_config, model_type=ModelType.V_PREDICTION, device=None): + super().__init__(model_config, model_type, device=device) + self.noise_augmentor = CLIPEmbeddingNoiseAugmentation(**noise_aug_config) + + def encode_adm(self, **kwargs): + unclip_conditioning = kwargs.get("unclip_conditioning", None) + device = kwargs["device"] + if unclip_conditioning is None: + return torch.zeros((1, self.adm_channels), device=device) + else: + return unclip_adm(unclip_conditioning, device, self.noise_augmentor, kwargs.get("unclip_noise_augment_merge", 0.05), kwargs.get("seed", 0) - 10) + +def sdxl_pooled(args, noise_augmentor): + if "unclip_conditioning" in args: + return unclip_adm(args.get("unclip_conditioning", None), args["device"], noise_augmentor, seed=args.get("seed", 0) - 10)[:,:1280] + else: + return args["pooled_output"] + +class SDXLRefiner(BaseModel): + def __init__(self, model_config, model_type=ModelType.EPS, device=None): + super().__init__(model_config, model_type, device=device) + self.embedder = Timestep(256) + self.noise_augmentor = CLIPEmbeddingNoiseAugmentation(**{"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 1280}) + + def encode_adm(self, **kwargs): + clip_pooled = sdxl_pooled(kwargs, self.noise_augmentor) + width = kwargs.get("width", 768) + height = kwargs.get("height", 768) + crop_w = kwargs.get("crop_w", 0) + crop_h = kwargs.get("crop_h", 0) + + if kwargs.get("prompt_type", "") == "negative": + aesthetic_score = kwargs.get("aesthetic_score", 2.5) + else: + aesthetic_score = kwargs.get("aesthetic_score", 6) + + out = [] + out.append(self.embedder(torch.Tensor([height]))) + out.append(self.embedder(torch.Tensor([width]))) + out.append(self.embedder(torch.Tensor([crop_h]))) + out.append(self.embedder(torch.Tensor([crop_w]))) + out.append(self.embedder(torch.Tensor([aesthetic_score]))) + flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0).repeat(clip_pooled.shape[0], 1) + return torch.cat((clip_pooled.to(flat.device), flat), dim=1) + +class SDXL(BaseModel): + def __init__(self, model_config, model_type=ModelType.EPS, device=None): + super().__init__(model_config, model_type, device=device) + self.embedder = Timestep(256) + self.noise_augmentor = CLIPEmbeddingNoiseAugmentation(**{"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 1280}) + + def encode_adm(self, **kwargs): + clip_pooled = sdxl_pooled(kwargs, self.noise_augmentor) + width = kwargs.get("width", 768) + height = kwargs.get("height", 768) + crop_w = kwargs.get("crop_w", 0) + crop_h = kwargs.get("crop_h", 0) + target_width = kwargs.get("target_width", width) + target_height = kwargs.get("target_height", height) + + out = [] + out.append(self.embedder(torch.Tensor([height]))) + out.append(self.embedder(torch.Tensor([width]))) + out.append(self.embedder(torch.Tensor([crop_h]))) + out.append(self.embedder(torch.Tensor([crop_w]))) + out.append(self.embedder(torch.Tensor([target_height]))) + out.append(self.embedder(torch.Tensor([target_width]))) + flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0).repeat(clip_pooled.shape[0], 1) + return torch.cat((clip_pooled.to(flat.device), flat), dim=1) + + +class SVD_img2vid(BaseModel): + def __init__(self, model_config, model_type=ModelType.V_PREDICTION_EDM, device=None): + super().__init__(model_config, model_type, device=device) + self.embedder = Timestep(256) + + def encode_adm(self, **kwargs): + fps_id = kwargs.get("fps", 6) - 1 + motion_bucket_id = kwargs.get("motion_bucket_id", 127) + augmentation = kwargs.get("augmentation_level", 0) + + out = [] + out.append(self.embedder(torch.Tensor([fps_id]))) + out.append(self.embedder(torch.Tensor([motion_bucket_id]))) + out.append(self.embedder(torch.Tensor([augmentation]))) + + flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0) + return flat + + def extra_conds(self, **kwargs): + out = {} + adm = self.encode_adm(**kwargs) + if adm is not None: + out['y'] = comfy.conds.CONDRegular(adm) + + latent_image = kwargs.get("concat_latent_image", None) + noise = kwargs.get("noise", None) + + if latent_image is None: + latent_image = torch.zeros_like(noise) + + if latent_image.shape[1:] != noise.shape[1:]: + latent_image = utils.common_upscale(latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center") + + latent_image = utils.resize_to_batch_size(latent_image, noise.shape[0]) + + out['c_concat'] = comfy.conds.CONDNoiseShape(latent_image) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn) + + if "time_conditioning" in kwargs: + out["time_context"] = comfy.conds.CONDCrossAttn(kwargs["time_conditioning"]) + + out['num_video_frames'] = comfy.conds.CONDConstant(noise.shape[0]) + return out + +class SV3D_u(SVD_img2vid): + def encode_adm(self, **kwargs): + augmentation = kwargs.get("augmentation_level", 0) + + out = [] + out.append(self.embedder(torch.flatten(torch.Tensor([augmentation])))) + + flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0) + return flat + +class SV3D_p(SVD_img2vid): + def __init__(self, model_config, model_type=ModelType.V_PREDICTION_EDM, device=None): + super().__init__(model_config, model_type, device=device) + self.embedder_512 = Timestep(512) + + def encode_adm(self, **kwargs): + augmentation = kwargs.get("augmentation_level", 0) + elevation = kwargs.get("elevation", 0) #elevation and azimuth are in degrees here + azimuth = kwargs.get("azimuth", 0) + noise = kwargs.get("noise", None) + + out = [] + out.append(self.embedder(torch.flatten(torch.Tensor([augmentation])))) + out.append(self.embedder_512(torch.deg2rad(torch.fmod(torch.flatten(90 - torch.Tensor([elevation])), 360.0)))) + out.append(self.embedder_512(torch.deg2rad(torch.fmod(torch.flatten(torch.Tensor([azimuth])), 360.0)))) + + out = list(map(lambda a: utils.resize_to_batch_size(a, noise.shape[0]), out)) + return torch.cat(out, dim=1) + + +class Stable_Zero123(BaseModel): + def __init__(self, model_config, model_type=ModelType.EPS, device=None, cc_projection_weight=None, cc_projection_bias=None): + super().__init__(model_config, model_type, device=device) + self.cc_projection = comfy.ops.manual_cast.Linear(cc_projection_weight.shape[1], cc_projection_weight.shape[0], dtype=self.get_dtype(), device=device) + self.cc_projection.weight.copy_(cc_projection_weight) + self.cc_projection.bias.copy_(cc_projection_bias) + + def extra_conds(self, **kwargs): + out = {} + + latent_image = kwargs.get("concat_latent_image", None) + noise = kwargs.get("noise", None) + + if latent_image is None: + latent_image = torch.zeros_like(noise) + + if latent_image.shape[1:] != noise.shape[1:]: + latent_image = utils.common_upscale(latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center") + + latent_image = utils.resize_to_batch_size(latent_image, noise.shape[0]) + + out['c_concat'] = comfy.conds.CONDNoiseShape(latent_image) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + if cross_attn.shape[-1] != 768: + cross_attn = self.cc_projection(cross_attn) + out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn) + return out + +class SD_X4Upscaler(BaseModel): + def __init__(self, model_config, model_type=ModelType.V_PREDICTION, device=None): + super().__init__(model_config, model_type, device=device) + self.noise_augmentor = ImageConcatWithNoiseAugmentation(noise_schedule_config={"linear_start": 0.0001, "linear_end": 0.02}, max_noise_level=350) + + def extra_conds(self, **kwargs): + out = {} + + image = kwargs.get("concat_image", None) + noise = kwargs.get("noise", None) + noise_augment = kwargs.get("noise_augmentation", 0.0) + device = kwargs["device"] + seed = kwargs["seed"] - 10 + + noise_level = round((self.noise_augmentor.max_noise_level) * noise_augment) + + if image is None: + image = torch.zeros_like(noise)[:,:3] + + if image.shape[1:] != noise.shape[1:]: + image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center") + + noise_level = torch.tensor([noise_level], device=device) + if noise_augment > 0: + image, noise_level = self.noise_augmentor(image.to(device), noise_level=noise_level, seed=seed) + + image = utils.resize_to_batch_size(image, noise.shape[0]) + + out['c_concat'] = comfy.conds.CONDNoiseShape(image) + out['y'] = comfy.conds.CONDRegular(noise_level) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn) + return out + +class IP2P: + def concat_cond(self, **kwargs): + image = kwargs.get("concat_latent_image", None) + noise = kwargs.get("noise", None) + device = kwargs["device"] + + if image is None: + image = torch.zeros_like(noise) + else: + image = image.to(device=device) + + if image.shape[1:] != noise.shape[1:]: + image = utils.common_upscale(image, noise.shape[-1], noise.shape[-2], "bilinear", "center") + + image = utils.resize_to_batch_size(image, noise.shape[0]) + return self.process_ip2p_image_in(image) + + +class SD15_instructpix2pix(IP2P, BaseModel): + def __init__(self, model_config, model_type=ModelType.EPS, device=None): + super().__init__(model_config, model_type, device=device) + self.process_ip2p_image_in = lambda image: image + + +class SDXL_instructpix2pix(IP2P, SDXL): + def __init__(self, model_config, model_type=ModelType.EPS, device=None): + super().__init__(model_config, model_type, device=device) + if model_type == ModelType.V_PREDICTION_EDM: + self.process_ip2p_image_in = lambda image: comfy.latent_formats.SDXL().process_in(image) #cosxl ip2p + else: + self.process_ip2p_image_in = lambda image: image #diffusers ip2p + +class Lotus(BaseModel): + def extra_conds(self, **kwargs): + out = {} + cross_attn = kwargs.get("cross_attn", None) + out['c_crossattn'] = comfy.conds.CONDCrossAttn(cross_attn) + device = kwargs["device"] + task_emb = torch.tensor([1, 0]).float().to(device) + task_emb = torch.cat([torch.sin(task_emb), torch.cos(task_emb)]).unsqueeze(0) + out['y'] = comfy.conds.CONDRegular(task_emb) + return out + + def __init__(self, model_config, model_type=ModelType.IMG_TO_IMG, device=None): + super().__init__(model_config, model_type, device=device) + +class StableCascade_C(BaseModel): + def __init__(self, model_config, model_type=ModelType.STABLE_CASCADE, device=None): + super().__init__(model_config, model_type, device=device, unet_model=StageC) + self.diffusion_model.eval().requires_grad_(False) + + def extra_conds(self, **kwargs): + out = {} + clip_text_pooled = kwargs["pooled_output"] + if clip_text_pooled is not None: + out['clip_text_pooled'] = comfy.conds.CONDRegular(clip_text_pooled) + + if "unclip_conditioning" in kwargs: + embeds = [] + for unclip_cond in kwargs["unclip_conditioning"]: + weight = unclip_cond["strength"] + embeds.append(unclip_cond["clip_vision_output"].image_embeds.unsqueeze(0) * weight) + clip_img = torch.cat(embeds, dim=1) + else: + clip_img = torch.zeros((1, 1, 768)) + out["clip_img"] = comfy.conds.CONDRegular(clip_img) + out["sca"] = comfy.conds.CONDRegular(torch.zeros((1,))) + out["crp"] = comfy.conds.CONDRegular(torch.zeros((1,))) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['clip_text'] = comfy.conds.CONDCrossAttn(cross_attn) + return out + + +class StableCascade_B(BaseModel): + def __init__(self, model_config, model_type=ModelType.STABLE_CASCADE, device=None): + super().__init__(model_config, model_type, device=device, unet_model=StageB) + self.diffusion_model.eval().requires_grad_(False) + + def extra_conds(self, **kwargs): + out = {} + noise = kwargs.get("noise", None) + + clip_text_pooled = kwargs["pooled_output"] + if clip_text_pooled is not None: + out['clip'] = comfy.conds.CONDRegular(clip_text_pooled) + + #size of prior doesn't really matter if zeros because it gets resized but I still want it to get batched + prior = kwargs.get("stable_cascade_prior", torch.zeros((1, 16, (noise.shape[2] * 4) // 42, (noise.shape[3] * 4) // 42), dtype=noise.dtype, layout=noise.layout, device=noise.device)) + + out["effnet"] = comfy.conds.CONDRegular(prior.to(device=noise.device)) + out["sca"] = comfy.conds.CONDRegular(torch.zeros((1,))) + return out + + +class SD3(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=OpenAISignatureMMDITWrapper) + + def encode_adm(self, **kwargs): + return kwargs["pooled_output"] + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + return out + + +class AuraFlow(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.aura.mmdit.MMDiT) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + return out + + +class StableAudio1(BaseModel): + def __init__(self, model_config, seconds_start_embedder_weights, seconds_total_embedder_weights, model_type=ModelType.V_PREDICTION_CONTINUOUS, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.audio.dit.AudioDiffusionTransformer) + self.seconds_start_embedder = comfy.ldm.audio.embedders.NumberConditioner(768, min_val=0, max_val=512) + self.seconds_total_embedder = comfy.ldm.audio.embedders.NumberConditioner(768, min_val=0, max_val=512) + self.seconds_start_embedder.load_state_dict(seconds_start_embedder_weights) + self.seconds_total_embedder.load_state_dict(seconds_total_embedder_weights) + + def extra_conds(self, **kwargs): + out = {} + + noise = kwargs.get("noise", None) + device = kwargs["device"] + + seconds_start = kwargs.get("seconds_start", 0) + seconds_total = kwargs.get("seconds_total", int(noise.shape[-1] / 21.53)) + + seconds_start_embed = self.seconds_start_embedder([seconds_start])[0].to(device) + seconds_total_embed = self.seconds_total_embedder([seconds_total])[0].to(device) + + global_embed = torch.cat([seconds_start_embed, seconds_total_embed], dim=-1).reshape((1, -1)) + out['global_embed'] = comfy.conds.CONDRegular(global_embed) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + cross_attn = torch.cat([cross_attn.to(device), seconds_start_embed.repeat((cross_attn.shape[0], 1, 1)), seconds_total_embed.repeat((cross_attn.shape[0], 1, 1))], dim=1) + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + return out + + def state_dict_for_saving(self, clip_state_dict=None, vae_state_dict=None, clip_vision_state_dict=None): + sd = super().state_dict_for_saving(clip_state_dict=clip_state_dict, vae_state_dict=vae_state_dict, clip_vision_state_dict=clip_vision_state_dict) + d = {"conditioner.conditioners.seconds_start.": self.seconds_start_embedder.state_dict(), "conditioner.conditioners.seconds_total.": self.seconds_total_embedder.state_dict()} + for k in d: + s = d[k] + for l in s: + sd["{}{}".format(k, l)] = s[l] + return sd + + +class HunyuanDiT(BaseModel): + def __init__(self, model_config, model_type=ModelType.V_PREDICTION, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hydit.models.HunYuanDiT) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + out['text_embedding_mask'] = comfy.conds.CONDRegular(attention_mask) + + conditioning_mt5xl = kwargs.get("conditioning_mt5xl", None) + if conditioning_mt5xl is not None: + out['encoder_hidden_states_t5'] = comfy.conds.CONDRegular(conditioning_mt5xl) + + attention_mask_mt5xl = kwargs.get("attention_mask_mt5xl", None) + if attention_mask_mt5xl is not None: + out['text_embedding_mask_t5'] = comfy.conds.CONDRegular(attention_mask_mt5xl) + + width = kwargs.get("width", 768) + height = kwargs.get("height", 768) + target_width = kwargs.get("target_width", width) + target_height = kwargs.get("target_height", height) + + out['image_meta_size'] = comfy.conds.CONDRegular(torch.FloatTensor([[height, width, target_height, target_width, 0, 0]])) + return out + +class PixArt(BaseModel): + def __init__(self, model_config, model_type=ModelType.EPS, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.pixart.pixartms.PixArtMS) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + width = kwargs.get("width", None) + height = kwargs.get("height", None) + if width is not None and height is not None: + out["c_size"] = comfy.conds.CONDRegular(torch.FloatTensor([[height, width]])) + out["c_ar"] = comfy.conds.CONDRegular(torch.FloatTensor([[kwargs.get("aspect_ratio", height/width)]])) + + return out + +class Flux(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLUX, device=None, unet_model=comfy.ldm.flux.model.Flux): + super().__init__(model_config, model_type, device=device, unet_model=unet_model) + self.memory_usage_factor_conds = ("ref_latents",) + + def concat_cond(self, **kwargs): + try: + #Handle Flux control loras dynamically changing the img_in weight. + num_channels = self.diffusion_model.img_in.weight.shape[1] // (self.diffusion_model.patch_size * self.diffusion_model.patch_size) + except: + #Some cases like tensorrt might not have the weights accessible + num_channels = self.model_config.unet_config["in_channels"] + + out_channels = self.model_config.unet_config["out_channels"] + + if num_channels <= out_channels: + return None + + image = kwargs.get("concat_latent_image", None) + noise = kwargs.get("noise", None) + device = kwargs["device"] + + if image is None: + image = torch.zeros_like(noise) + + image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center") + image = utils.resize_to_batch_size(image, noise.shape[0]) + image = self.process_latent_in(image) + if num_channels <= out_channels * 2: + return image + + #inpaint model + mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None)) + if mask is None: + mask = torch.ones_like(noise)[:, :1] + + mask = torch.mean(mask, dim=1, keepdim=True) + mask = utils.common_upscale(mask.to(device), noise.shape[-1] * 8, noise.shape[-2] * 8, "bilinear", "center") + mask = mask.view(mask.shape[0], mask.shape[2] // 8, 8, mask.shape[3] // 8, 8).permute(0, 2, 4, 1, 3).reshape(mask.shape[0], -1, mask.shape[2] // 8, mask.shape[3] // 8) + mask = utils.resize_to_batch_size(mask, noise.shape[0]) + return torch.cat((image, mask), dim=1) + + def encode_adm(self, **kwargs): + return kwargs["pooled_output"] + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + # upscale the attention mask, since now we + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + shape = kwargs["noise"].shape + mask_ref_size = kwargs["attention_mask_img_shape"] + # the model will pad to the patch size, and then divide + # essentially dividing and rounding up + (h_tok, w_tok) = (math.ceil(shape[2] / self.diffusion_model.patch_size), math.ceil(shape[3] / self.diffusion_model.patch_size)) + attention_mask = utils.upscale_dit_mask(attention_mask, mask_ref_size, (h_tok, w_tok)) + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + + guidance = kwargs.get("guidance", 3.5) + if guidance is not None: + out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance])) + + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + latents = [] + for lat in ref_latents: + latents.append(self.process_latent_in(lat)) + out['ref_latents'] = comfy.conds.CONDList(latents) + + ref_latents_method = kwargs.get("reference_latents_method", None) + if ref_latents_method is not None: + out['ref_latents_method'] = comfy.conds.CONDConstant(ref_latents_method) + return out + + def extra_conds_shapes(self, **kwargs): + out = {} + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + out['ref_latents'] = list([1, 16, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16]) + return out + + +class GenmoMochi(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.genmo.joint_model.asymm_models_joint.AsymmDiTJoint) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + out['num_tokens'] = comfy.conds.CONDConstant(max(1, torch.sum(attention_mask).item())) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + return out + +class LTXV(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLUX, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.lightricks.model.LTXVModel) #TODO + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + out['frame_rate'] = comfy.conds.CONDConstant(kwargs.get("frame_rate", 25)) + + denoise_mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None)) + if denoise_mask is not None: + out["denoise_mask"] = comfy.conds.CONDRegular(denoise_mask) + + keyframe_idxs = kwargs.get("keyframe_idxs", None) + if keyframe_idxs is not None: + out['keyframe_idxs'] = comfy.conds.CONDRegular(keyframe_idxs) + + return out + + def process_timestep(self, timestep, x, denoise_mask=None, **kwargs): + if denoise_mask is None: + return timestep + return self.diffusion_model.patchifier.patchify(((denoise_mask) * timestep.view([timestep.shape[0]] + [1] * (denoise_mask.ndim - 1)))[:, :1])[0] + + def scale_latent_inpaint(self, sigma, noise, latent_image, **kwargs): + return latent_image + +class HunyuanVideo(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hunyuan_video.model.HunyuanVideo) + + def encode_adm(self, **kwargs): + return kwargs["pooled_output"] + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + guidance = kwargs.get("guidance", 6.0) + if guidance is not None: + out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance])) + + guiding_frame_index = kwargs.get("guiding_frame_index", None) + if guiding_frame_index is not None: + out['guiding_frame_index'] = comfy.conds.CONDRegular(torch.FloatTensor([guiding_frame_index])) + + ref_latent = kwargs.get("ref_latent", None) + if ref_latent is not None: + out['ref_latent'] = comfy.conds.CONDRegular(self.process_latent_in(ref_latent)) + + return out + + def scale_latent_inpaint(self, latent_image, **kwargs): + return latent_image + +class HunyuanVideoI2V(HunyuanVideo): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device) + self.concat_keys = ("concat_image", "mask_inverted") + + def scale_latent_inpaint(self, latent_image, **kwargs): + return super().scale_latent_inpaint(latent_image=latent_image, **kwargs) + +class HunyuanVideoSkyreelsI2V(HunyuanVideo): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device) + self.concat_keys = ("concat_image",) + + def scale_latent_inpaint(self, latent_image, **kwargs): + return super().scale_latent_inpaint(latent_image=latent_image, **kwargs) + +class CosmosVideo(BaseModel): + def __init__(self, model_config, model_type=ModelType.EDM, image_to_video=False, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.cosmos.model.GeneralDIT) + self.image_to_video = image_to_video + if self.image_to_video: + self.concat_keys = ("mask_inverted",) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + out['fps'] = comfy.conds.CONDConstant(kwargs.get("frame_rate", None)) + return out + + def scale_latent_inpaint(self, sigma, noise, latent_image, **kwargs): + sigma = sigma.reshape([sigma.shape[0]] + [1] * (len(noise.shape) - 1)) + sigma_noise_augmentation = 0 #TODO + if sigma_noise_augmentation != 0: + latent_image = latent_image + noise + latent_image = self.model_sampling.calculate_input(torch.tensor([sigma_noise_augmentation], device=latent_image.device, dtype=latent_image.dtype), latent_image) + return latent_image * ((sigma ** 2 + self.model_sampling.sigma_data ** 2) ** 0.5) + +class CosmosPredict2(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW_COSMOS, image_to_video=False, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.cosmos.predict2.MiniTrainDIT) + self.image_to_video = image_to_video + if self.image_to_video: + self.concat_keys = ("mask_inverted",) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + denoise_mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None)) + if denoise_mask is not None: + out["denoise_mask"] = comfy.conds.CONDRegular(denoise_mask) + + out['fps'] = comfy.conds.CONDConstant(kwargs.get("frame_rate", None)) + return out + + def process_timestep(self, timestep, x, denoise_mask=None, **kwargs): + if denoise_mask is None: + return timestep + if denoise_mask.ndim <= 4: + return timestep + condition_video_mask_B_1_T_1_1 = denoise_mask.mean(dim=[1, 3, 4], keepdim=True) + c_noise_B_1_T_1_1 = 0.0 * (1.0 - condition_video_mask_B_1_T_1_1) + timestep.reshape(timestep.shape[0], 1, 1, 1, 1) * condition_video_mask_B_1_T_1_1 + out = c_noise_B_1_T_1_1.squeeze(dim=[1, 3, 4]) + return out + + def scale_latent_inpaint(self, sigma, noise, latent_image, **kwargs): + sigma = sigma.reshape([sigma.shape[0]] + [1] * (len(noise.shape) - 1)) + sigma_noise_augmentation = 0 #TODO + if sigma_noise_augmentation != 0: + latent_image = latent_image + noise + latent_image = self.model_sampling.calculate_input(torch.tensor([sigma_noise_augmentation], device=latent_image.device, dtype=latent_image.dtype), latent_image) + sigma = (sigma / (sigma + 1)) + return latent_image / (1.0 - sigma) + +class Lumina2(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.lumina.model.NextDiT) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + if torch.numel(attention_mask) != attention_mask.sum(): + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + out['num_tokens'] = comfy.conds.CONDConstant(max(1, torch.sum(attention_mask).item())) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + return out + +class WAN21(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.WanModel) + self.image_to_video = image_to_video + + def concat_cond(self, **kwargs): + noise = kwargs.get("noise", None) + extra_channels = self.diffusion_model.patch_embedding.weight.shape[1] - noise.shape[1] + if extra_channels == 0: + return None + + image = kwargs.get("concat_latent_image", None) + device = kwargs["device"] + + if image is None: + shape_image = list(noise.shape) + shape_image[1] = extra_channels + image = torch.zeros(shape_image, dtype=noise.dtype, layout=noise.layout, device=noise.device) + else: + latent_dim = self.latent_format.latent_channels + image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center") + for i in range(0, image.shape[1], latent_dim): + image[:, i: i + latent_dim] = self.process_latent_in(image[:, i: i + latent_dim]) + image = utils.resize_to_batch_size(image, noise.shape[0]) + + if extra_channels != image.shape[1] + 4: + if not self.image_to_video or extra_channels == image.shape[1]: + return image + + if image.shape[1] > (extra_channels - 4): + image = image[:, :(extra_channels - 4)] + + mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None)) + if mask is None: + mask = torch.zeros_like(noise)[:, :4] + else: + if mask.shape[1] != 4: + mask = torch.mean(mask, dim=1, keepdim=True) + mask = 1.0 - mask + mask = utils.common_upscale(mask.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center") + if mask.shape[-3] < noise.shape[-3]: + mask = torch.nn.functional.pad(mask, (0, 0, 0, 0, 0, noise.shape[-3] - mask.shape[-3]), mode='constant', value=0) + if mask.shape[1] == 1: + mask = mask.repeat(1, 4, 1, 1, 1) + mask = utils.resize_to_batch_size(mask, noise.shape[0]) + + concat_mask_index = kwargs.get("concat_mask_index", 0) + if concat_mask_index != 0: + return torch.cat((image[:, :concat_mask_index], mask, image[:, concat_mask_index:]), dim=1) + else: + return torch.cat((mask, image), dim=1) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + clip_vision_output = kwargs.get("clip_vision_output", None) + if clip_vision_output is not None: + out['clip_fea'] = comfy.conds.CONDRegular(clip_vision_output.penultimate_hidden_states) + + time_dim_concat = kwargs.get("time_dim_concat", None) + if time_dim_concat is not None: + out['time_dim_concat'] = comfy.conds.CONDRegular(self.process_latent_in(time_dim_concat)) + + reference_latents = kwargs.get("reference_latents", None) + if reference_latents is not None: + out['reference_latent'] = comfy.conds.CONDRegular(self.process_latent_in(reference_latents[-1])[:, :, 0]) + + return out + + +class WAN21_Vace(WAN21): + def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False, device=None): + super(WAN21, self).__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.VaceWanModel) + self.image_to_video = image_to_video + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + noise = kwargs.get("noise", None) + noise_shape = list(noise.shape) + vace_frames = kwargs.get("vace_frames", None) + if vace_frames is None: + noise_shape[1] = 32 + vace_frames = [torch.zeros(noise_shape, device=noise.device, dtype=noise.dtype)] + + mask = kwargs.get("vace_mask", None) + if mask is None: + noise_shape[1] = 64 + mask = [torch.ones(noise_shape, device=noise.device, dtype=noise.dtype)] * len(vace_frames) + + vace_frames_out = [] + for j in range(len(vace_frames)): + vf = vace_frames[j].to(device=noise.device, dtype=noise.dtype, copy=True) + for i in range(0, vf.shape[1], 16): + vf[:, i:i + 16] = self.process_latent_in(vf[:, i:i + 16]) + vf = torch.cat([vf, mask[j].to(device=noise.device, dtype=noise.dtype)], dim=1) + vace_frames_out.append(vf) + + vace_frames = torch.stack(vace_frames_out, dim=1) + out['vace_context'] = comfy.conds.CONDRegular(vace_frames) + + vace_strength = kwargs.get("vace_strength", [1.0] * len(vace_frames_out)) + out['vace_strength'] = comfy.conds.CONDConstant(vace_strength) + return out + +class WAN21_Camera(WAN21): + def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False, device=None): + super(WAN21, self).__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.CameraWanModel) + self.image_to_video = image_to_video + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + camera_conditions = kwargs.get("camera_conditions", None) + if camera_conditions is not None: + out['camera_conditions'] = comfy.conds.CONDRegular(camera_conditions) + return out + +class WAN22_S2V(WAN21): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super(WAN21, self).__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.WanModel_S2V) + self.memory_usage_factor_conds = ("reference_latent", "reference_motion") + self.memory_usage_shape_process = {"reference_motion": lambda shape: [shape[0], shape[1], 1.5, shape[-2], shape[-1]]} + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + audio_embed = kwargs.get("audio_embed", None) + if audio_embed is not None: + out['audio_embed'] = comfy.conds.CONDRegular(audio_embed) + + reference_latents = kwargs.get("reference_latents", None) + if reference_latents is not None: + out['reference_latent'] = comfy.conds.CONDRegular(self.process_latent_in(reference_latents[-1])) + + reference_motion = kwargs.get("reference_motion", None) + if reference_motion is not None: + out['reference_motion'] = comfy.conds.CONDRegular(self.process_latent_in(reference_motion)) + + control_video = kwargs.get("control_video", None) + if control_video is not None: + out['control_video'] = comfy.conds.CONDRegular(self.process_latent_in(control_video)) + return out + + def extra_conds_shapes(self, **kwargs): + out = {} + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + out['reference_latent'] = list([1, 16, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16]) + + reference_motion = kwargs.get("reference_motion", None) + if reference_motion is not None: + out['reference_motion'] = reference_motion.shape + return out + +class WAN22(WAN21): + def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False, device=None): + super(WAN21, self).__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.WanModel) + self.image_to_video = image_to_video + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + denoise_mask = kwargs.get("denoise_mask", None) + if denoise_mask is not None: + out["denoise_mask"] = comfy.conds.CONDRegular(denoise_mask) + return out + + def process_timestep(self, timestep, x, denoise_mask=None, **kwargs): + if denoise_mask is None: + return timestep + temp_ts = (torch.mean(denoise_mask[:, :, :, :, :], dim=(1, 3, 4), keepdim=True) * timestep.view([timestep.shape[0]] + [1] * (denoise_mask.ndim - 1))).reshape(timestep.shape[0], -1) + return temp_ts + + def scale_latent_inpaint(self, sigma, noise, latent_image, **kwargs): + return latent_image + +class Hunyuan3Dv2(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hunyuan3d.model.Hunyuan3Dv2) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + guidance = kwargs.get("guidance", 5.0) + if guidance is not None: + out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance])) + return out + +class Hunyuan3Dv2_1(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hunyuan3dv2_1.hunyuandit.HunYuanDiTPlain) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + guidance = kwargs.get("guidance", 5.0) + if guidance is not None: + out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance])) + return out + +class HiDream(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hidream.model.HiDreamImageTransformer2DModel) + + def encode_adm(self, **kwargs): + return kwargs["pooled_output"] + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + conditioning_llama3 = kwargs.get("conditioning_llama3", None) + if conditioning_llama3 is not None: + out['encoder_hidden_states_llama3'] = comfy.conds.CONDRegular(conditioning_llama3) + image_cond = kwargs.get("concat_latent_image", None) + if image_cond is not None: + out['image_cond'] = comfy.conds.CONDNoiseShape(self.process_latent_in(image_cond)) + return out + +class Chroma(Flux): + def __init__(self, model_config, model_type=ModelType.FLUX, device=None, unet_model=comfy.ldm.chroma.model.Chroma): + super().__init__(model_config, model_type, device=device, unet_model=unet_model) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + + guidance = kwargs.get("guidance", 0) + if guidance is not None: + out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance])) + return out + +class ChromaRadiance(Chroma): + def __init__(self, model_config, model_type=ModelType.FLUX, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.chroma_radiance.model.ChromaRadiance) + +class ACEStep(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.ace.model.ACEStepTransformer2DModel) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + noise = kwargs.get("noise", None) + + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + conditioning_lyrics = kwargs.get("conditioning_lyrics", None) + if cross_attn is not None: + out['lyric_token_idx'] = comfy.conds.CONDRegular(conditioning_lyrics) + out['speaker_embeds'] = comfy.conds.CONDRegular(torch.zeros(noise.shape[0], 512, device=noise.device, dtype=noise.dtype)) + out['lyrics_strength'] = comfy.conds.CONDConstant(kwargs.get("lyrics_strength", 1.0)) + return out + +class Omnigen2(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.omnigen.omnigen2.OmniGen2Transformer2DModel) + self.memory_usage_factor_conds = ("ref_latents",) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + if torch.numel(attention_mask) != attention_mask.sum(): + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + out['num_tokens'] = comfy.conds.CONDConstant(max(1, torch.sum(attention_mask).item())) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + latents = [] + for lat in ref_latents: + latents.append(self.process_latent_in(lat)) + out['ref_latents'] = comfy.conds.CONDList(latents) + return out + + def extra_conds_shapes(self, **kwargs): + out = {} + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + out['ref_latents'] = list([1, 16, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16]) + return out + +class QwenImage(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLUX, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.qwen_image.model.QwenImageTransformer2DModel) + self.memory_usage_factor_conds = ("ref_latents",) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + latents = [] + for lat in ref_latents: + latents.append(self.process_latent_in(lat)) + out['ref_latents'] = comfy.conds.CONDList(latents) + + ref_latents_method = kwargs.get("reference_latents_method", None) + if ref_latents_method is not None: + out['ref_latents_method'] = comfy.conds.CONDConstant(ref_latents_method) + return out + + def extra_conds_shapes(self, **kwargs): + out = {} + ref_latents = kwargs.get("reference_latents", None) + if ref_latents is not None: + out['ref_latents'] = list([1, 16, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16]) + return out + +class HunyuanImage21(BaseModel): + def __init__(self, model_config, model_type=ModelType.FLOW, device=None): + super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hunyuan_video.model.HunyuanVideo) + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + attention_mask = kwargs.get("attention_mask", None) + if attention_mask is not None: + if torch.numel(attention_mask) != attention_mask.sum(): + out['attention_mask'] = comfy.conds.CONDRegular(attention_mask) + cross_attn = kwargs.get("cross_attn", None) + if cross_attn is not None: + out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn) + + conditioning_byt5small = kwargs.get("conditioning_byt5small", None) + if conditioning_byt5small is not None: + out['txt_byt5'] = comfy.conds.CONDRegular(conditioning_byt5small) + + guidance = kwargs.get("guidance", 6.0) + if guidance is not None: + out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance])) + + return out + +class HunyuanImage21Refiner(HunyuanImage21): + def concat_cond(self, **kwargs): + noise = kwargs.get("noise", None) + image = kwargs.get("concat_latent_image", None) + noise_augmentation = kwargs.get("noise_augmentation", 0.0) + device = kwargs["device"] + + if image is None: + shape_image = list(noise.shape) + image = torch.zeros(shape_image, dtype=noise.dtype, layout=noise.layout, device=noise.device) + else: + image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center") + image = self.process_latent_in(image) + image = utils.resize_to_batch_size(image, noise.shape[0]) + if noise_augmentation > 0: + generator = torch.Generator(device="cpu") + generator.manual_seed(kwargs.get("seed", 0) - 10) + noise = torch.randn(image.shape, generator=generator, dtype=image.dtype, device="cpu").to(image.device) + image = noise_augmentation * noise + min(1.0 - noise_augmentation, 0.75) * image + else: + image = 0.75 * image + return image + + def extra_conds(self, **kwargs): + out = super().extra_conds(**kwargs) + out['disable_time_r'] = comfy.conds.CONDConstant(True) + return out diff --git a/comfy/model_detection.py b/comfy/model_detection.py new file mode 100644 index 0000000000000000000000000000000000000000..03d44f65e2a92444f0e04a37d2c3da8c130a4c1e --- /dev/null +++ b/comfy/model_detection.py @@ -0,0 +1,973 @@ +import json +import comfy.supported_models +import comfy.supported_models_base +import comfy.utils +import math +import logging +import torch + +def count_blocks(state_dict_keys, prefix_string): + count = 0 + while True: + c = False + for k in state_dict_keys: + if k.startswith(prefix_string.format(count)): + c = True + break + if c == False: + break + count += 1 + return count + +def calculate_transformer_depth(prefix, state_dict_keys, state_dict): + context_dim = None + use_linear_in_transformer = False + + transformer_prefix = prefix + "1.transformer_blocks." + transformer_keys = sorted(list(filter(lambda a: a.startswith(transformer_prefix), state_dict_keys))) + if len(transformer_keys) > 0: + last_transformer_depth = count_blocks(state_dict_keys, transformer_prefix + '{}') + context_dim = state_dict['{}0.attn2.to_k.weight'.format(transformer_prefix)].shape[1] + use_linear_in_transformer = len(state_dict['{}1.proj_in.weight'.format(prefix)].shape) == 2 + time_stack = '{}1.time_stack.0.attn1.to_q.weight'.format(prefix) in state_dict or '{}1.time_mix_blocks.0.attn1.to_q.weight'.format(prefix) in state_dict + time_stack_cross = '{}1.time_stack.0.attn2.to_q.weight'.format(prefix) in state_dict or '{}1.time_mix_blocks.0.attn2.to_q.weight'.format(prefix) in state_dict + return last_transformer_depth, context_dim, use_linear_in_transformer, time_stack, time_stack_cross + return None + +def detect_unet_config(state_dict, key_prefix, metadata=None): + state_dict_keys = list(state_dict.keys()) + + if '{}joint_blocks.0.context_block.attn.qkv.weight'.format(key_prefix) in state_dict_keys: #mmdit model + unet_config = {} + unet_config["in_channels"] = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[1] + patch_size = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[2] + unet_config["patch_size"] = patch_size + final_layer = '{}final_layer.linear.weight'.format(key_prefix) + if final_layer in state_dict: + unet_config["out_channels"] = state_dict[final_layer].shape[0] // (patch_size * patch_size) + + unet_config["depth"] = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[0] // 64 + unet_config["input_size"] = None + y_key = '{}y_embedder.mlp.0.weight'.format(key_prefix) + if y_key in state_dict_keys: + unet_config["adm_in_channels"] = state_dict[y_key].shape[1] + + context_key = '{}context_embedder.weight'.format(key_prefix) + if context_key in state_dict_keys: + in_features = state_dict[context_key].shape[1] + out_features = state_dict[context_key].shape[0] + unet_config["context_embedder_config"] = {"target": "torch.nn.Linear", "params": {"in_features": in_features, "out_features": out_features}} + num_patches_key = '{}pos_embed'.format(key_prefix) + if num_patches_key in state_dict_keys: + num_patches = state_dict[num_patches_key].shape[1] + unet_config["num_patches"] = num_patches + unet_config["pos_embed_max_size"] = round(math.sqrt(num_patches)) + + rms_qk = '{}joint_blocks.0.context_block.attn.ln_q.weight'.format(key_prefix) + if rms_qk in state_dict_keys: + unet_config["qk_norm"] = "rms" + + unet_config["pos_embed_scaling_factor"] = None #unused for inference + context_processor = '{}context_processor.layers.0.attn.qkv.weight'.format(key_prefix) + if context_processor in state_dict_keys: + unet_config["context_processor_layers"] = count_blocks(state_dict_keys, '{}context_processor.layers.'.format(key_prefix) + '{}.') + unet_config["x_block_self_attn_layers"] = [] + for key in state_dict_keys: + if key.startswith('{}joint_blocks.'.format(key_prefix)) and key.endswith('.x_block.attn2.qkv.weight'): + layer = key[len('{}joint_blocks.'.format(key_prefix)):-len('.x_block.attn2.qkv.weight')] + unet_config["x_block_self_attn_layers"].append(int(layer)) + return unet_config + + if '{}clf.1.weight'.format(key_prefix) in state_dict_keys: #stable cascade + unet_config = {} + text_mapper_name = '{}clip_txt_mapper.weight'.format(key_prefix) + if text_mapper_name in state_dict_keys: + unet_config['stable_cascade_stage'] = 'c' + w = state_dict[text_mapper_name] + if w.shape[0] == 1536: #stage c lite + unet_config['c_cond'] = 1536 + unet_config['c_hidden'] = [1536, 1536] + unet_config['nhead'] = [24, 24] + unet_config['blocks'] = [[4, 12], [12, 4]] + elif w.shape[0] == 2048: #stage c full + unet_config['c_cond'] = 2048 + elif '{}clip_mapper.weight'.format(key_prefix) in state_dict_keys: + unet_config['stable_cascade_stage'] = 'b' + w = state_dict['{}down_blocks.1.0.channelwise.0.weight'.format(key_prefix)] + if w.shape[-1] == 640: + unet_config['c_hidden'] = [320, 640, 1280, 1280] + unet_config['nhead'] = [-1, -1, 20, 20] + unet_config['blocks'] = [[2, 6, 28, 6], [6, 28, 6, 2]] + unet_config['block_repeat'] = [[1, 1, 1, 1], [3, 3, 2, 2]] + elif w.shape[-1] == 576: #stage b lite + unet_config['c_hidden'] = [320, 576, 1152, 1152] + unet_config['nhead'] = [-1, 9, 18, 18] + unet_config['blocks'] = [[2, 4, 14, 4], [4, 14, 4, 2]] + unet_config['block_repeat'] = [[1, 1, 1, 1], [2, 2, 2, 2]] + return unet_config + + if '{}transformer.rotary_pos_emb.inv_freq'.format(key_prefix) in state_dict_keys: #stable audio dit + unet_config = {} + unet_config["audio_model"] = "dit1.0" + return unet_config + + if '{}double_layers.0.attn.w1q.weight'.format(key_prefix) in state_dict_keys: #aura flow dit + unet_config = {} + unet_config["max_seq"] = state_dict['{}positional_encoding'.format(key_prefix)].shape[1] + unet_config["cond_seq_dim"] = state_dict['{}cond_seq_linear.weight'.format(key_prefix)].shape[1] + double_layers = count_blocks(state_dict_keys, '{}double_layers.'.format(key_prefix) + '{}.') + single_layers = count_blocks(state_dict_keys, '{}single_layers.'.format(key_prefix) + '{}.') + unet_config["n_double_layers"] = double_layers + unet_config["n_layers"] = double_layers + single_layers + return unet_config + + if '{}mlp_t5.0.weight'.format(key_prefix) in state_dict_keys: #Hunyuan DiT + unet_config = {} + unet_config["image_model"] = "hydit" + unet_config["depth"] = count_blocks(state_dict_keys, '{}blocks.'.format(key_prefix) + '{}.') + unet_config["hidden_size"] = state_dict['{}x_embedder.proj.weight'.format(key_prefix)].shape[0] + if unet_config["hidden_size"] == 1408 and unet_config["depth"] == 40: #DiT-g/2 + unet_config["mlp_ratio"] = 4.3637 + if state_dict['{}extra_embedder.0.weight'.format(key_prefix)].shape[1] == 3968: + unet_config["size_cond"] = True + unet_config["use_style_cond"] = True + unet_config["image_model"] = "hydit1" + return unet_config + + if '{}txt_in.individual_token_refiner.blocks.0.norm1.weight'.format(key_prefix) in state_dict_keys: #Hunyuan Video + dit_config = {} + in_w = state_dict['{}img_in.proj.weight'.format(key_prefix)] + out_w = state_dict['{}final_layer.linear.weight'.format(key_prefix)] + dit_config["image_model"] = "hunyuan_video" + dit_config["in_channels"] = in_w.shape[1] #SkyReels img2video has 32 input channels + dit_config["patch_size"] = list(in_w.shape[2:]) + dit_config["out_channels"] = out_w.shape[0] // math.prod(dit_config["patch_size"]) + if any(s.startswith('{}vector_in.'.format(key_prefix)) for s in state_dict_keys): + dit_config["vec_in_dim"] = 768 + else: + dit_config["vec_in_dim"] = None + + if len(dit_config["patch_size"]) == 2: + dit_config["axes_dim"] = [64, 64] + else: + dit_config["axes_dim"] = [16, 56, 56] + + if any(s.startswith('{}time_r_in.'.format(key_prefix)) for s in state_dict_keys): + dit_config["meanflow"] = True + else: + dit_config["meanflow"] = False + + dit_config["context_in_dim"] = state_dict['{}txt_in.input_embedder.weight'.format(key_prefix)].shape[1] + dit_config["hidden_size"] = in_w.shape[0] + dit_config["mlp_ratio"] = 4.0 + dit_config["num_heads"] = in_w.shape[0] // 128 + dit_config["depth"] = count_blocks(state_dict_keys, '{}double_blocks.'.format(key_prefix) + '{}.') + dit_config["depth_single_blocks"] = count_blocks(state_dict_keys, '{}single_blocks.'.format(key_prefix) + '{}.') + dit_config["theta"] = 256 + dit_config["qkv_bias"] = True + if '{}byt5_in.fc1.weight'.format(key_prefix) in state_dict: + dit_config["byt5"] = True + else: + dit_config["byt5"] = False + + guidance_keys = list(filter(lambda a: a.startswith("{}guidance_in.".format(key_prefix)), state_dict_keys)) + dit_config["guidance_embed"] = len(guidance_keys) > 0 + return dit_config + + if '{}double_blocks.0.img_attn.norm.key_norm.scale'.format(key_prefix) in state_dict_keys and ('{}img_in.weight'.format(key_prefix) in state_dict_keys or f"{key_prefix}distilled_guidance_layer.norms.0.scale" in state_dict_keys): #Flux, Chroma or Chroma Radiance (has no img_in.weight) + dit_config = {} + dit_config["image_model"] = "flux" + dit_config["in_channels"] = 16 + patch_size = 2 + dit_config["patch_size"] = patch_size + in_key = "{}img_in.weight".format(key_prefix) + if in_key in state_dict_keys: + dit_config["in_channels"] = state_dict[in_key].shape[1] // (patch_size * patch_size) + dit_config["out_channels"] = 16 + vec_in_key = '{}vector_in.in_layer.weight'.format(key_prefix) + if vec_in_key in state_dict_keys: + dit_config["vec_in_dim"] = state_dict[vec_in_key].shape[1] + dit_config["context_in_dim"] = 4096 + dit_config["hidden_size"] = 3072 + dit_config["mlp_ratio"] = 4.0 + dit_config["num_heads"] = 24 + dit_config["depth"] = count_blocks(state_dict_keys, '{}double_blocks.'.format(key_prefix) + '{}.') + dit_config["depth_single_blocks"] = count_blocks(state_dict_keys, '{}single_blocks.'.format(key_prefix) + '{}.') + dit_config["axes_dim"] = [16, 56, 56] + dit_config["theta"] = 10000 + dit_config["qkv_bias"] = True + if '{}distilled_guidance_layer.0.norms.0.scale'.format(key_prefix) in state_dict_keys or '{}distilled_guidance_layer.norms.0.scale'.format(key_prefix) in state_dict_keys: #Chroma + dit_config["image_model"] = "chroma" + dit_config["in_channels"] = 64 + dit_config["out_channels"] = 64 + dit_config["in_dim"] = 64 + dit_config["out_dim"] = 3072 + dit_config["hidden_dim"] = 5120 + dit_config["n_layers"] = 5 + if f"{key_prefix}nerf_blocks.0.norm.scale" in state_dict_keys: #Chroma Radiance + dit_config["image_model"] = "chroma_radiance" + dit_config["in_channels"] = 3 + dit_config["out_channels"] = 3 + dit_config["patch_size"] = 16 + dit_config["nerf_hidden_size"] = 64 + dit_config["nerf_mlp_ratio"] = 4 + dit_config["nerf_depth"] = 4 + dit_config["nerf_max_freqs"] = 8 + dit_config["nerf_tile_size"] = 32 + dit_config["nerf_final_head_type"] = "conv" if f"{key_prefix}nerf_final_layer_conv.norm.scale" in state_dict_keys else "linear" + dit_config["nerf_embedder_dtype"] = torch.float32 + else: + dit_config["guidance_embed"] = "{}guidance_in.in_layer.weight".format(key_prefix) in state_dict_keys + return dit_config + + if '{}t5_yproj.weight'.format(key_prefix) in state_dict_keys: #Genmo mochi preview + dit_config = {} + dit_config["image_model"] = "mochi_preview" + dit_config["depth"] = 48 + dit_config["patch_size"] = 2 + dit_config["num_heads"] = 24 + dit_config["hidden_size_x"] = 3072 + dit_config["hidden_size_y"] = 1536 + dit_config["mlp_ratio_x"] = 4.0 + dit_config["mlp_ratio_y"] = 4.0 + dit_config["learn_sigma"] = False + dit_config["in_channels"] = 12 + dit_config["qk_norm"] = True + dit_config["qkv_bias"] = False + dit_config["out_bias"] = True + dit_config["attn_drop"] = 0.0 + dit_config["patch_embed_bias"] = True + dit_config["posenc_preserve_area"] = True + dit_config["timestep_mlp_bias"] = True + dit_config["attend_to_padding"] = False + dit_config["timestep_scale"] = 1000.0 + dit_config["use_t5"] = True + dit_config["t5_feat_dim"] = 4096 + dit_config["t5_token_length"] = 256 + dit_config["rope_theta"] = 10000.0 + return dit_config + + if '{}adaln_single.emb.timestep_embedder.linear_1.bias'.format(key_prefix) in state_dict_keys and '{}pos_embed.proj.bias'.format(key_prefix) in state_dict_keys: + # PixArt diffusers + return None + + if '{}adaln_single.emb.timestep_embedder.linear_1.bias'.format(key_prefix) in state_dict_keys: #Lightricks ltxv + dit_config = {} + dit_config["image_model"] = "ltxv" + dit_config["num_layers"] = count_blocks(state_dict_keys, '{}transformer_blocks.'.format(key_prefix) + '{}.') + shape = state_dict['{}transformer_blocks.0.attn2.to_k.weight'.format(key_prefix)].shape + dit_config["attention_head_dim"] = shape[0] // 32 + dit_config["cross_attention_dim"] = shape[1] + if metadata is not None and "config" in metadata: + dit_config.update(json.loads(metadata["config"]).get("transformer", {})) + return dit_config + + if '{}genre_embedder.weight'.format(key_prefix) in state_dict_keys: #ACE-Step model + dit_config = {} + dit_config["audio_model"] = "ace" + dit_config["attention_head_dim"] = 128 + dit_config["in_channels"] = 8 + dit_config["inner_dim"] = 2560 + dit_config["max_height"] = 16 + dit_config["max_position"] = 32768 + dit_config["max_width"] = 32768 + dit_config["mlp_ratio"] = 2.5 + dit_config["num_attention_heads"] = 20 + dit_config["num_layers"] = 24 + dit_config["out_channels"] = 8 + dit_config["patch_size"] = [16, 1] + dit_config["rope_theta"] = 1000000.0 + dit_config["speaker_embedding_dim"] = 512 + dit_config["text_embedding_dim"] = 768 + + dit_config["ssl_encoder_depths"] = [8, 8] + dit_config["ssl_latent_dims"] = [1024, 768] + dit_config["ssl_names"] = ["mert", "m-hubert"] + dit_config["lyric_encoder_vocab_size"] = 6693 + dit_config["lyric_hidden_size"] = 1024 + return dit_config + + if '{}t_block.1.weight'.format(key_prefix) in state_dict_keys: # PixArt + patch_size = 2 + dit_config = {} + dit_config["num_heads"] = 16 + dit_config["patch_size"] = patch_size + dit_config["hidden_size"] = 1152 + dit_config["in_channels"] = 4 + dit_config["depth"] = count_blocks(state_dict_keys, '{}blocks.'.format(key_prefix) + '{}.') + + y_key = "{}y_embedder.y_embedding".format(key_prefix) + if y_key in state_dict_keys: + dit_config["model_max_length"] = state_dict[y_key].shape[0] + + pe_key = "{}pos_embed".format(key_prefix) + if pe_key in state_dict_keys: + dit_config["input_size"] = int(math.sqrt(state_dict[pe_key].shape[1])) * patch_size + dit_config["pe_interpolation"] = dit_config["input_size"] // (512//8) # guess + + ar_key = "{}ar_embedder.mlp.0.weight".format(key_prefix) + if ar_key in state_dict_keys: + dit_config["image_model"] = "pixart_alpha" + dit_config["micro_condition"] = True + else: + dit_config["image_model"] = "pixart_sigma" + dit_config["micro_condition"] = False + return dit_config + + if '{}blocks.block0.blocks.0.block.attn.to_q.0.weight'.format(key_prefix) in state_dict_keys: # Cosmos + dit_config = {} + dit_config["image_model"] = "cosmos" + dit_config["max_img_h"] = 240 + dit_config["max_img_w"] = 240 + dit_config["max_frames"] = 128 + concat_padding_mask = True + dit_config["in_channels"] = (state_dict['{}x_embedder.proj.1.weight'.format(key_prefix)].shape[1] // 4) - int(concat_padding_mask) + dit_config["out_channels"] = 16 + dit_config["patch_spatial"] = 2 + dit_config["patch_temporal"] = 1 + dit_config["model_channels"] = state_dict['{}blocks.block0.blocks.0.block.attn.to_q.0.weight'.format(key_prefix)].shape[0] + dit_config["block_config"] = "FA-CA-MLP" + dit_config["concat_padding_mask"] = concat_padding_mask + dit_config["pos_emb_cls"] = "rope3d" + dit_config["pos_emb_learnable"] = False + dit_config["pos_emb_interpolation"] = "crop" + dit_config["block_x_format"] = "THWBD" + dit_config["affline_emb_norm"] = True + dit_config["use_adaln_lora"] = True + dit_config["adaln_lora_dim"] = 256 + + if dit_config["model_channels"] == 4096: + # 7B + dit_config["num_blocks"] = 28 + dit_config["num_heads"] = 32 + dit_config["extra_per_block_abs_pos_emb"] = True + dit_config["rope_h_extrapolation_ratio"] = 1.0 + dit_config["rope_w_extrapolation_ratio"] = 1.0 + dit_config["rope_t_extrapolation_ratio"] = 2.0 + dit_config["extra_per_block_abs_pos_emb_type"] = "learnable" + else: # 5120 + # 14B + dit_config["num_blocks"] = 36 + dit_config["num_heads"] = 40 + dit_config["extra_per_block_abs_pos_emb"] = True + dit_config["rope_h_extrapolation_ratio"] = 2.0 + dit_config["rope_w_extrapolation_ratio"] = 2.0 + dit_config["rope_t_extrapolation_ratio"] = 2.0 + dit_config["extra_h_extrapolation_ratio"] = 2.0 + dit_config["extra_w_extrapolation_ratio"] = 2.0 + dit_config["extra_t_extrapolation_ratio"] = 2.0 + dit_config["extra_per_block_abs_pos_emb_type"] = "learnable" + return dit_config + + if '{}cap_embedder.1.weight'.format(key_prefix) in state_dict_keys: # Lumina 2 + dit_config = {} + dit_config["image_model"] = "lumina2" + dit_config["patch_size"] = 2 + dit_config["in_channels"] = 16 + dit_config["dim"] = 2304 + dit_config["cap_feat_dim"] = 2304 + dit_config["n_layers"] = 26 + dit_config["n_heads"] = 24 + dit_config["n_kv_heads"] = 8 + dit_config["qk_norm"] = True + dit_config["axes_dims"] = [32, 32, 32] + dit_config["axes_lens"] = [300, 512, 512] + return dit_config + + if '{}head.modulation'.format(key_prefix) in state_dict_keys: # Wan 2.1 + dit_config = {} + dit_config["image_model"] = "wan2.1" + dim = state_dict['{}head.modulation'.format(key_prefix)].shape[-1] + out_dim = state_dict['{}head.head.weight'.format(key_prefix)].shape[0] // 4 + dit_config["dim"] = dim + dit_config["out_dim"] = out_dim + dit_config["num_heads"] = dim // 128 + dit_config["ffn_dim"] = state_dict['{}blocks.0.ffn.0.weight'.format(key_prefix)].shape[0] + dit_config["num_layers"] = count_blocks(state_dict_keys, '{}blocks.'.format(key_prefix) + '{}.') + dit_config["patch_size"] = (1, 2, 2) + dit_config["freq_dim"] = 256 + dit_config["window_size"] = (-1, -1) + dit_config["qk_norm"] = True + dit_config["cross_attn_norm"] = True + dit_config["eps"] = 1e-6 + dit_config["in_dim"] = state_dict['{}patch_embedding.weight'.format(key_prefix)].shape[1] + if '{}vace_patch_embedding.weight'.format(key_prefix) in state_dict_keys: + dit_config["model_type"] = "vace" + dit_config["vace_in_dim"] = state_dict['{}vace_patch_embedding.weight'.format(key_prefix)].shape[1] + dit_config["vace_layers"] = count_blocks(state_dict_keys, '{}vace_blocks.'.format(key_prefix) + '{}.') + elif '{}control_adapter.conv.weight'.format(key_prefix) in state_dict_keys: + if '{}img_emb.proj.0.bias'.format(key_prefix) in state_dict_keys: + dit_config["model_type"] = "camera" + else: + dit_config["model_type"] = "camera_2.2" + elif '{}casual_audio_encoder.encoder.final_linear.weight'.format(key_prefix) in state_dict_keys: + dit_config["model_type"] = "s2v" + else: + if '{}img_emb.proj.0.bias'.format(key_prefix) in state_dict_keys: + dit_config["model_type"] = "i2v" + else: + dit_config["model_type"] = "t2v" + flf_weight = state_dict.get('{}img_emb.emb_pos'.format(key_prefix)) + if flf_weight is not None: + dit_config["flf_pos_embed_token_number"] = flf_weight.shape[1] + + ref_conv_weight = state_dict.get('{}ref_conv.weight'.format(key_prefix)) + if ref_conv_weight is not None: + dit_config["in_dim_ref_conv"] = ref_conv_weight.shape[1] + + return dit_config + + if '{}latent_in.weight'.format(key_prefix) in state_dict_keys: # Hunyuan 3D + in_shape = state_dict['{}latent_in.weight'.format(key_prefix)].shape + dit_config = {} + dit_config["image_model"] = "hunyuan3d2" + dit_config["in_channels"] = in_shape[1] + dit_config["context_in_dim"] = state_dict['{}cond_in.weight'.format(key_prefix)].shape[1] + dit_config["hidden_size"] = in_shape[0] + dit_config["mlp_ratio"] = 4.0 + dit_config["num_heads"] = 16 + dit_config["depth"] = count_blocks(state_dict_keys, '{}double_blocks.'.format(key_prefix) + '{}.') + dit_config["depth_single_blocks"] = count_blocks(state_dict_keys, '{}single_blocks.'.format(key_prefix) + '{}.') + dit_config["qkv_bias"] = True + dit_config["guidance_embed"] = "{}guidance_in.in_layer.weight".format(key_prefix) in state_dict_keys + return dit_config + + if f"{key_prefix}t_embedder.mlp.2.weight" in state_dict_keys: # Hunyuan 3D 2.1 + + dit_config = {} + dit_config["image_model"] = "hunyuan3d2_1" + dit_config["in_channels"] = state_dict[f"{key_prefix}x_embedder.weight"].shape[1] + dit_config["context_dim"] = 1024 + dit_config["hidden_size"] = state_dict[f"{key_prefix}x_embedder.weight"].shape[0] + dit_config["mlp_ratio"] = 4.0 + dit_config["num_heads"] = 16 + dit_config["depth"] = count_blocks(state_dict_keys, f"{key_prefix}blocks.{{}}") + dit_config["qkv_bias"] = False + dit_config["guidance_cond_proj_dim"] = None#f"{key_prefix}t_embedder.cond_proj.weight" in state_dict_keys + return dit_config + + if '{}caption_projection.0.linear.weight'.format(key_prefix) in state_dict_keys: # HiDream + dit_config = {} + dit_config["image_model"] = "hidream" + dit_config["attention_head_dim"] = 128 + dit_config["axes_dims_rope"] = [64, 32, 32] + dit_config["caption_channels"] = [4096, 4096] + dit_config["max_resolution"] = [128, 128] + dit_config["in_channels"] = 16 + dit_config["llama_layers"] = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31] + dit_config["num_attention_heads"] = 20 + dit_config["num_routed_experts"] = 4 + dit_config["num_activated_experts"] = 2 + dit_config["num_layers"] = 16 + dit_config["num_single_layers"] = 32 + dit_config["out_channels"] = 16 + dit_config["patch_size"] = 2 + dit_config["text_emb_dim"] = 2048 + return dit_config + + if '{}blocks.0.mlp.layer1.weight'.format(key_prefix) in state_dict_keys: # Cosmos predict2 + dit_config = {} + dit_config["image_model"] = "cosmos_predict2" + dit_config["max_img_h"] = 240 + dit_config["max_img_w"] = 240 + dit_config["max_frames"] = 128 + concat_padding_mask = True + dit_config["in_channels"] = (state_dict['{}x_embedder.proj.1.weight'.format(key_prefix)].shape[1] // 4) - int(concat_padding_mask) + dit_config["out_channels"] = 16 + dit_config["patch_spatial"] = 2 + dit_config["patch_temporal"] = 1 + dit_config["model_channels"] = state_dict['{}x_embedder.proj.1.weight'.format(key_prefix)].shape[0] + dit_config["concat_padding_mask"] = concat_padding_mask + dit_config["crossattn_emb_channels"] = 1024 + dit_config["pos_emb_cls"] = "rope3d" + dit_config["pos_emb_learnable"] = True + dit_config["pos_emb_interpolation"] = "crop" + dit_config["min_fps"] = 1 + dit_config["max_fps"] = 30 + + dit_config["use_adaln_lora"] = True + dit_config["adaln_lora_dim"] = 256 + if dit_config["model_channels"] == 2048: + dit_config["num_blocks"] = 28 + dit_config["num_heads"] = 16 + elif dit_config["model_channels"] == 5120: + dit_config["num_blocks"] = 36 + dit_config["num_heads"] = 40 + + if dit_config["in_channels"] == 16: + dit_config["extra_per_block_abs_pos_emb"] = False + dit_config["rope_h_extrapolation_ratio"] = 4.0 + dit_config["rope_w_extrapolation_ratio"] = 4.0 + dit_config["rope_t_extrapolation_ratio"] = 1.0 + elif dit_config["in_channels"] == 17: # img to video + if dit_config["model_channels"] == 2048: + dit_config["extra_per_block_abs_pos_emb"] = False + dit_config["rope_h_extrapolation_ratio"] = 3.0 + dit_config["rope_w_extrapolation_ratio"] = 3.0 + dit_config["rope_t_extrapolation_ratio"] = 1.0 + elif dit_config["model_channels"] == 5120: + dit_config["rope_h_extrapolation_ratio"] = 2.0 + dit_config["rope_w_extrapolation_ratio"] = 2.0 + dit_config["rope_t_extrapolation_ratio"] = 0.8333333333333334 + + dit_config["extra_h_extrapolation_ratio"] = 1.0 + dit_config["extra_w_extrapolation_ratio"] = 1.0 + dit_config["extra_t_extrapolation_ratio"] = 1.0 + dit_config["rope_enable_fps_modulation"] = False + + return dit_config + + if '{}time_caption_embed.timestep_embedder.linear_1.bias'.format(key_prefix) in state_dict_keys: # Omnigen2 + dit_config = {} + dit_config["image_model"] = "omnigen2" + dit_config["axes_dim_rope"] = [40, 40, 40] + dit_config["axes_lens"] = [1024, 1664, 1664] + dit_config["ffn_dim_multiplier"] = None + dit_config["hidden_size"] = 2520 + dit_config["in_channels"] = 16 + dit_config["multiple_of"] = 256 + dit_config["norm_eps"] = 1e-05 + dit_config["num_attention_heads"] = 21 + dit_config["num_kv_heads"] = 7 + dit_config["num_layers"] = 32 + dit_config["num_refiner_layers"] = 2 + dit_config["out_channels"] = None + dit_config["patch_size"] = 2 + dit_config["text_feat_dim"] = 2048 + dit_config["timestep_scale"] = 1000.0 + return dit_config + + if '{}txt_norm.weight'.format(key_prefix) in state_dict_keys: # Qwen Image + dit_config = {} + dit_config["image_model"] = "qwen_image" + dit_config["in_channels"] = state_dict['{}img_in.weight'.format(key_prefix)].shape[1] + dit_config["num_layers"] = count_blocks(state_dict_keys, '{}transformer_blocks.'.format(key_prefix) + '{}.') + return dit_config + + if '{}input_blocks.0.0.weight'.format(key_prefix) not in state_dict_keys: + return None + + unet_config = { + "use_checkpoint": False, + "image_size": 32, + "use_spatial_transformer": True, + "legacy": False + } + + y_input = '{}label_emb.0.0.weight'.format(key_prefix) + if y_input in state_dict_keys: + unet_config["num_classes"] = "sequential" + unet_config["adm_in_channels"] = state_dict[y_input].shape[1] + else: + unet_config["adm_in_channels"] = None + + model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0] + in_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[1] + + out_key = '{}out.2.weight'.format(key_prefix) + if out_key in state_dict: + out_channels = state_dict[out_key].shape[0] + else: + out_channels = 4 + + num_res_blocks = [] + channel_mult = [] + transformer_depth = [] + transformer_depth_output = [] + context_dim = None + use_linear_in_transformer = False + + video_model = False + video_model_cross = False + + current_res = 1 + count = 0 + + last_res_blocks = 0 + last_channel_mult = 0 + + input_block_count = count_blocks(state_dict_keys, '{}input_blocks'.format(key_prefix) + '.{}.') + for count in range(input_block_count): + prefix = '{}input_blocks.{}.'.format(key_prefix, count) + prefix_output = '{}output_blocks.{}.'.format(key_prefix, input_block_count - count - 1) + + block_keys = sorted(list(filter(lambda a: a.startswith(prefix), state_dict_keys))) + if len(block_keys) == 0: + break + + block_keys_output = sorted(list(filter(lambda a: a.startswith(prefix_output), state_dict_keys))) + + if "{}0.op.weight".format(prefix) in block_keys: #new layer + num_res_blocks.append(last_res_blocks) + channel_mult.append(last_channel_mult) + + current_res *= 2 + last_res_blocks = 0 + last_channel_mult = 0 + out = calculate_transformer_depth(prefix_output, state_dict_keys, state_dict) + if out is not None: + transformer_depth_output.append(out[0]) + else: + transformer_depth_output.append(0) + else: + res_block_prefix = "{}0.in_layers.0.weight".format(prefix) + if res_block_prefix in block_keys: + last_res_blocks += 1 + last_channel_mult = state_dict["{}0.out_layers.3.weight".format(prefix)].shape[0] // model_channels + + out = calculate_transformer_depth(prefix, state_dict_keys, state_dict) + if out is not None: + transformer_depth.append(out[0]) + if context_dim is None: + context_dim = out[1] + use_linear_in_transformer = out[2] + video_model = out[3] + video_model_cross = out[4] + else: + transformer_depth.append(0) + + res_block_prefix = "{}0.in_layers.0.weight".format(prefix_output) + if res_block_prefix in block_keys_output: + out = calculate_transformer_depth(prefix_output, state_dict_keys, state_dict) + if out is not None: + transformer_depth_output.append(out[0]) + else: + transformer_depth_output.append(0) + + + num_res_blocks.append(last_res_blocks) + channel_mult.append(last_channel_mult) + if "{}middle_block.1.proj_in.weight".format(key_prefix) in state_dict_keys: + transformer_depth_middle = count_blocks(state_dict_keys, '{}middle_block.1.transformer_blocks.'.format(key_prefix) + '{}') + elif "{}middle_block.0.in_layers.0.weight".format(key_prefix) in state_dict_keys: + transformer_depth_middle = -1 + else: + transformer_depth_middle = -2 + + unet_config["in_channels"] = in_channels + unet_config["out_channels"] = out_channels + unet_config["model_channels"] = model_channels + unet_config["num_res_blocks"] = num_res_blocks + unet_config["transformer_depth"] = transformer_depth + unet_config["transformer_depth_output"] = transformer_depth_output + unet_config["channel_mult"] = channel_mult + unet_config["transformer_depth_middle"] = transformer_depth_middle + unet_config['use_linear_in_transformer'] = use_linear_in_transformer + unet_config["context_dim"] = context_dim + + if video_model: + unet_config["extra_ff_mix_layer"] = True + unet_config["use_spatial_context"] = True + unet_config["merge_strategy"] = "learned_with_images" + unet_config["merge_factor"] = 0.0 + unet_config["video_kernel_size"] = [3, 1, 1] + unet_config["use_temporal_resblock"] = True + unet_config["use_temporal_attention"] = True + unet_config["disable_temporal_crossattention"] = not video_model_cross + else: + unet_config["use_temporal_resblock"] = False + unet_config["use_temporal_attention"] = False + + return unet_config + +def model_config_from_unet_config(unet_config, state_dict=None): + for model_config in comfy.supported_models.models: + if model_config.matches(unet_config, state_dict): + return model_config(unet_config) + + logging.error("no match {}".format(unet_config)) + return None + +def model_config_from_unet(state_dict, unet_key_prefix, use_base_if_no_match=False, metadata=None): + unet_config = detect_unet_config(state_dict, unet_key_prefix, metadata=metadata) + if unet_config is None: + return None + model_config = model_config_from_unet_config(unet_config, state_dict) + if model_config is None and use_base_if_no_match: + model_config = comfy.supported_models_base.BASE(unet_config) + + scaled_fp8_key = "{}scaled_fp8".format(unet_key_prefix) + if scaled_fp8_key in state_dict: + scaled_fp8_weight = state_dict.pop(scaled_fp8_key) + model_config.scaled_fp8 = scaled_fp8_weight.dtype + if model_config.scaled_fp8 == torch.float32: + model_config.scaled_fp8 = torch.float8_e4m3fn + if scaled_fp8_weight.nelement() == 2: + model_config.optimizations["fp8"] = False + else: + model_config.optimizations["fp8"] = True + + return model_config + +def unet_prefix_from_state_dict(state_dict): + candidates = ["model.diffusion_model.", #ldm/sgm models + "model.model.", #audio models + "net.", #cosmos + ] + counts = {k: 0 for k in candidates} + for k in state_dict: + for c in candidates: + if k.startswith(c): + counts[c] += 1 + break + + top = max(counts, key=counts.get) + if counts[top] > 5: + return top + else: + return "model." #aura flow and others + + +def convert_config(unet_config): + new_config = unet_config.copy() + num_res_blocks = new_config.get("num_res_blocks", None) + channel_mult = new_config.get("channel_mult", None) + + if isinstance(num_res_blocks, int): + num_res_blocks = len(channel_mult) * [num_res_blocks] + + if "attention_resolutions" in new_config: + attention_resolutions = new_config.pop("attention_resolutions") + transformer_depth = new_config.get("transformer_depth", None) + transformer_depth_middle = new_config.get("transformer_depth_middle", None) + + if isinstance(transformer_depth, int): + transformer_depth = len(channel_mult) * [transformer_depth] + if transformer_depth_middle is None: + transformer_depth_middle = transformer_depth[-1] + t_in = [] + t_out = [] + s = 1 + for i in range(len(num_res_blocks)): + res = num_res_blocks[i] + d = 0 + if s in attention_resolutions: + d = transformer_depth[i] + + t_in += [d] * res + t_out += [d] * (res + 1) + s *= 2 + transformer_depth = t_in + new_config["transformer_depth"] = t_in + new_config["transformer_depth_output"] = t_out + new_config["transformer_depth_middle"] = transformer_depth_middle + + new_config["num_res_blocks"] = num_res_blocks + return new_config + + +def unet_config_from_diffusers_unet(state_dict, dtype=None): + if "conv_in.weight" not in state_dict: + return None + + match = {} + transformer_depth = [] + + attn_res = 1 + down_blocks = count_blocks(state_dict, "down_blocks.{}") + for i in range(down_blocks): + attn_blocks = count_blocks(state_dict, "down_blocks.{}.attentions.".format(i) + '{}') + res_blocks = count_blocks(state_dict, "down_blocks.{}.resnets.".format(i) + '{}') + for ab in range(attn_blocks): + transformer_count = count_blocks(state_dict, "down_blocks.{}.attentions.{}.transformer_blocks.".format(i, ab) + '{}') + transformer_depth.append(transformer_count) + if transformer_count > 0: + match["context_dim"] = state_dict["down_blocks.{}.attentions.{}.transformer_blocks.0.attn2.to_k.weight".format(i, ab)].shape[1] + + attn_res *= 2 + if attn_blocks == 0: + for i in range(res_blocks): + transformer_depth.append(0) + + match["transformer_depth"] = transformer_depth + + match["model_channels"] = state_dict["conv_in.weight"].shape[0] + match["in_channels"] = state_dict["conv_in.weight"].shape[1] + match["adm_in_channels"] = None + if "class_embedding.linear_1.weight" in state_dict: + match["adm_in_channels"] = state_dict["class_embedding.linear_1.weight"].shape[1] + elif "add_embedding.linear_1.weight" in state_dict: + match["adm_in_channels"] = state_dict["add_embedding.linear_1.weight"].shape[1] + + SDXL = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 10, 10], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 10, + 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 2, 2, 2, 10, 10, 10], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SDXL_refiner = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2560, 'dtype': dtype, 'in_channels': 4, 'model_channels': 384, + 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [0, 0, 4, 4, 4, 4, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 4, + 'use_linear_in_transformer': True, 'context_dim': 1280, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SD21 = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2], + 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': True, + 'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SD21_uncliph = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2048, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, + 'use_linear_in_transformer': True, 'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SD21_unclipl = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 1536, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, + 'use_linear_in_transformer': True, 'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SD15 = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, 'adm_in_channels': None, + 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], + 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': False, 'context_dim': 768, 'num_heads': 8, + 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SDXL_mid_cnet = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 0, 0, 1, 1], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 1, + 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 0, 0, 0, 1, 1, 1], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SDXL_small_cnet = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 0, 0, 0, 0], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 0, + 'use_linear_in_transformer': True, 'num_head_channels': 64, 'context_dim': 1, 'transformer_depth_output': [0, 0, 0, 0, 0, 0, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SDXL_diffusers_inpaint = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 9, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 10, 10], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 10, + 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 2, 2, 2, 10, 10, 10], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SDXL_diffusers_ip2p = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 8, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 10, 10], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 10, + 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 0, 2, 2, 2, 10, 10, 10], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SSD_1B = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 2, 2, 4, 4], 'transformer_depth_output': [0, 0, 0, 1, 1, 2, 10, 4, 4], + 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + Segmind_Vega = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 1, 1, 2, 2], 'transformer_depth_output': [0, 0, 0, 1, 1, 1, 2, 2, 2], + 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + KOALA_700M = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [1, 1, 1], 'transformer_depth': [0, 2, 5], 'transformer_depth_output': [0, 0, 2, 2, 5, 5], + 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -2, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + KOALA_1B = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, + 'num_res_blocks': [1, 1, 1], 'transformer_depth': [0, 2, 6], 'transformer_depth_output': [0, 0, 2, 2, 6, 6], + 'channel_mult': [1, 2, 4], 'transformer_depth_middle': 6, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SD09_XS = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [1, 1, 1], + 'transformer_depth': [1, 1, 1], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -2, 'use_linear_in_transformer': True, + 'context_dim': 1024, 'num_head_channels': 64, 'transformer_depth_output': [1, 1, 1, 1, 1, 1], + 'use_temporal_attention': False, 'use_temporal_resblock': False, 'disable_self_attentions': [True, False, False]} + + SD_XS = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, + 'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [1, 1, 1], + 'transformer_depth': [0, 1, 1], 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -2, 'use_linear_in_transformer': False, + 'context_dim': 768, 'num_head_channels': 64, 'transformer_depth_output': [0, 0, 1, 1, 1, 1], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + SD15_diffusers_inpaint = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, 'adm_in_channels': None, + 'dtype': dtype, 'in_channels': 9, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], + 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': False, 'context_dim': 768, 'num_heads': 8, + 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + LotusD = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False, 'adm_in_channels': 4, + 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': [2, 2, 2, 2], 'transformer_depth': [1, 1, 1, 1, 1, 1, 0, 0], + 'channel_mult': [1, 2, 4, 4], 'transformer_depth_middle': 1, 'use_linear_in_transformer': True, 'context_dim': 1024, 'num_heads': 8, + 'transformer_depth_output': [1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], + 'use_temporal_attention': False, 'use_temporal_resblock': False} + + supported_models = [LotusD, SDXL, SDXL_refiner, SD21, SD15, SD21_uncliph, SD21_unclipl, SDXL_mid_cnet, SDXL_small_cnet, SDXL_diffusers_inpaint, SSD_1B, Segmind_Vega, KOALA_700M, KOALA_1B, SD09_XS, SD_XS, SDXL_diffusers_ip2p, SD15_diffusers_inpaint] + + for unet_config in supported_models: + matches = True + for k in match: + if match[k] != unet_config[k]: + matches = False + break + if matches: + return convert_config(unet_config) + return None + +def model_config_from_diffusers_unet(state_dict): + unet_config = unet_config_from_diffusers_unet(state_dict) + if unet_config is not None: + return model_config_from_unet_config(unet_config) + return None + +def convert_diffusers_mmdit(state_dict, output_prefix=""): + out_sd = {} + + if 'joint_transformer_blocks.0.attn.add_k_proj.weight' in state_dict: #AuraFlow + num_joint = count_blocks(state_dict, 'joint_transformer_blocks.{}.') + num_single = count_blocks(state_dict, 'single_transformer_blocks.{}.') + sd_map = comfy.utils.auraflow_to_diffusers({"n_double_layers": num_joint, "n_layers": num_joint + num_single}, output_prefix=output_prefix) + elif 'adaln_single.emb.timestep_embedder.linear_1.bias' in state_dict and 'pos_embed.proj.bias' in state_dict: # PixArt + num_blocks = count_blocks(state_dict, 'transformer_blocks.{}.') + sd_map = comfy.utils.pixart_to_diffusers({"depth": num_blocks}, output_prefix=output_prefix) + elif 'x_embedder.weight' in state_dict: #Flux + depth = count_blocks(state_dict, 'transformer_blocks.{}.') + depth_single_blocks = count_blocks(state_dict, 'single_transformer_blocks.{}.') + hidden_size = state_dict["x_embedder.bias"].shape[0] + sd_map = comfy.utils.flux_to_diffusers({"depth": depth, "depth_single_blocks": depth_single_blocks, "hidden_size": hidden_size}, output_prefix=output_prefix) + elif 'transformer_blocks.0.attn.add_q_proj.weight' in state_dict and 'pos_embed.proj.weight' in state_dict: #SD3 + num_blocks = count_blocks(state_dict, 'transformer_blocks.{}.') + depth = state_dict["pos_embed.proj.weight"].shape[0] // 64 + sd_map = comfy.utils.mmdit_to_diffusers({"depth": depth, "num_blocks": num_blocks}, output_prefix=output_prefix) + else: + return None + + for k in sd_map: + weight = state_dict.get(k, None) + if weight is not None: + t = sd_map[k] + + if not isinstance(t, str): + if len(t) > 2: + fun = t[2] + else: + fun = lambda a: a + offset = t[1] + if offset is not None: + old_weight = out_sd.get(t[0], None) + if old_weight is None: + old_weight = torch.empty_like(weight) + if old_weight.shape[offset[0]] < offset[1] + offset[2]: + exp = list(weight.shape) + exp[offset[0]] = offset[1] + offset[2] + new = torch.empty(exp, device=weight.device, dtype=weight.dtype) + new[:old_weight.shape[0]] = old_weight + old_weight = new + + w = old_weight.narrow(offset[0], offset[1], offset[2]) + else: + old_weight = weight + w = weight + w[:] = fun(weight) + t = t[0] + out_sd[t] = old_weight + else: + out_sd[t] = weight + state_dict.pop(k) + + return out_sd diff --git a/comfy/model_management.py b/comfy/model_management.py new file mode 100644 index 0000000000000000000000000000000000000000..bbfc3c7a1fb6144ed6c4895707637031c32bc657 --- /dev/null +++ b/comfy/model_management.py @@ -0,0 +1,1430 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import psutil +import logging +from enum import Enum +from comfy.cli_args import args, PerformanceFeature +import torch +import sys +import importlib +import platform +import weakref +import gc + +class VRAMState(Enum): + DISABLED = 0 #No vram present: no need to move models to vram + NO_VRAM = 1 #Very low vram: enable all the options to save vram + LOW_VRAM = 2 + NORMAL_VRAM = 3 + HIGH_VRAM = 4 + SHARED = 5 #No dedicated vram: memory shared between CPU and GPU but models still need to be moved between both. + +class CPUState(Enum): + GPU = 0 + CPU = 1 + MPS = 2 + +# Determine VRAM State +vram_state = VRAMState.NORMAL_VRAM +set_vram_to = VRAMState.NORMAL_VRAM +cpu_state = CPUState.GPU + +total_vram = 0 + +def get_supported_float8_types(): + float8_types = [] + try: + float8_types.append(torch.float8_e4m3fn) + except: + pass + try: + float8_types.append(torch.float8_e4m3fnuz) + except: + pass + try: + float8_types.append(torch.float8_e5m2) + except: + pass + try: + float8_types.append(torch.float8_e5m2fnuz) + except: + pass + try: + float8_types.append(torch.float8_e8m0fnu) + except: + pass + return float8_types + +FLOAT8_TYPES = get_supported_float8_types() + +xpu_available = False +torch_version = "" +try: + torch_version = torch.version.__version__ + temp = torch_version.split(".") + torch_version_numeric = (int(temp[0]), int(temp[1])) +except: + pass + +lowvram_available = True +if args.deterministic: + logging.info("Using deterministic algorithms for pytorch") + torch.use_deterministic_algorithms(True, warn_only=True) + +directml_enabled = False +if args.directml is not None: + import torch_directml + directml_enabled = True + device_index = args.directml + if device_index < 0: + directml_device = torch_directml.device() + else: + directml_device = torch_directml.device(device_index) + logging.info("Using directml with device: {}".format(torch_directml.device_name(device_index))) + # torch_directml.disable_tiled_resources(True) + lowvram_available = False #TODO: need to find a way to get free memory in directml before this can be enabled by default. + +try: + import intel_extension_for_pytorch as ipex # noqa: F401 +except: + pass + +try: + _ = torch.xpu.device_count() + xpu_available = torch.xpu.is_available() +except: + xpu_available = False + +try: + if torch.backends.mps.is_available(): + cpu_state = CPUState.MPS + import torch.mps +except: + pass + +try: + import torch_npu # noqa: F401 + _ = torch.npu.device_count() + npu_available = torch.npu.is_available() +except: + npu_available = False + +try: + import torch_mlu # noqa: F401 + _ = torch.mlu.device_count() + mlu_available = torch.mlu.is_available() +except: + mlu_available = False + +try: + ixuca_available = hasattr(torch, "corex") +except: + ixuca_available = False + +if args.cpu: + cpu_state = CPUState.CPU + +def is_intel_xpu(): + global cpu_state + global xpu_available + if cpu_state == CPUState.GPU: + if xpu_available: + return True + return False + +def is_ascend_npu(): + global npu_available + if npu_available: + return True + return False + +def is_mlu(): + global mlu_available + if mlu_available: + return True + return False + +def is_ixuca(): + global ixuca_available + if ixuca_available: + return True + return False + +def get_torch_device(): + global directml_enabled + global cpu_state + if directml_enabled: + global directml_device + return directml_device + if cpu_state == CPUState.MPS: + return torch.device("mps") + if cpu_state == CPUState.CPU: + return torch.device("cpu") + else: + if is_intel_xpu(): + return torch.device("xpu", torch.xpu.current_device()) + elif is_ascend_npu(): + return torch.device("npu", torch.npu.current_device()) + elif is_mlu(): + return torch.device("mlu", torch.mlu.current_device()) + else: + return torch.device(torch.cuda.current_device()) + +def get_total_memory(dev=None, torch_total_too=False): + global directml_enabled + if dev is None: + dev = get_torch_device() + + if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'): + mem_total = psutil.virtual_memory().total + mem_total_torch = mem_total + else: + if directml_enabled: + mem_total = 1024 * 1024 * 1024 #TODO + mem_total_torch = mem_total + elif is_intel_xpu(): + stats = torch.xpu.memory_stats(dev) + mem_reserved = stats['reserved_bytes.all.current'] + mem_total_xpu = torch.xpu.get_device_properties(dev).total_memory + mem_total_torch = mem_reserved + mem_total = mem_total_xpu + elif is_ascend_npu(): + stats = torch.npu.memory_stats(dev) + mem_reserved = stats['reserved_bytes.all.current'] + _, mem_total_npu = torch.npu.mem_get_info(dev) + mem_total_torch = mem_reserved + mem_total = mem_total_npu + elif is_mlu(): + stats = torch.mlu.memory_stats(dev) + mem_reserved = stats['reserved_bytes.all.current'] + _, mem_total_mlu = torch.mlu.mem_get_info(dev) + mem_total_torch = mem_reserved + mem_total = mem_total_mlu + else: + stats = torch.cuda.memory_stats(dev) + mem_reserved = stats['reserved_bytes.all.current'] + _, mem_total_cuda = torch.cuda.mem_get_info(dev) + mem_total_torch = mem_reserved + mem_total = mem_total_cuda + + if torch_total_too: + return (mem_total, mem_total_torch) + else: + return mem_total + +def mac_version(): + try: + return tuple(int(n) for n in platform.mac_ver()[0].split(".")) + except: + return None + +total_vram = get_total_memory(get_torch_device()) / (1024 * 1024) +total_ram = psutil.virtual_memory().total / (1024 * 1024) +logging.info("Total VRAM {:0.0f} MB, total RAM {:0.0f} MB".format(total_vram, total_ram)) + +try: + logging.info("pytorch version: {}".format(torch_version)) + mac_ver = mac_version() + if mac_ver is not None: + logging.info("Mac Version {}".format(mac_ver)) +except: + pass + +try: + OOM_EXCEPTION = torch.cuda.OutOfMemoryError +except: + OOM_EXCEPTION = Exception + +XFORMERS_VERSION = "" +XFORMERS_ENABLED_VAE = True +if args.disable_xformers: + XFORMERS_IS_AVAILABLE = False +else: + try: + import xformers + import xformers.ops + XFORMERS_IS_AVAILABLE = True + try: + XFORMERS_IS_AVAILABLE = xformers._has_cpp_library + except: + pass + try: + XFORMERS_VERSION = xformers.version.__version__ + logging.info("xformers version: {}".format(XFORMERS_VERSION)) + if XFORMERS_VERSION.startswith("0.0.18"): + logging.warning("\nWARNING: This version of xformers has a major bug where you will get black images when generating high resolution images.") + logging.warning("Please downgrade or upgrade xformers to a different version.\n") + XFORMERS_ENABLED_VAE = False + except: + pass + except: + XFORMERS_IS_AVAILABLE = False + +def is_nvidia(): + global cpu_state + if cpu_state == CPUState.GPU: + if torch.version.cuda: + return True + return False + +def is_amd(): + global cpu_state + if cpu_state == CPUState.GPU: + if torch.version.hip: + return True + return False + +def amd_min_version(device=None, min_rdna_version=0): + if not is_amd(): + return False + + if is_device_cpu(device): + return False + + arch = torch.cuda.get_device_properties(device).gcnArchName + if arch.startswith('gfx') and len(arch) == 7: + try: + cmp_rdna_version = int(arch[4]) + 2 + except: + cmp_rdna_version = 0 + if cmp_rdna_version >= min_rdna_version: + return True + + return False + +MIN_WEIGHT_MEMORY_RATIO = 0.4 +if is_nvidia(): + MIN_WEIGHT_MEMORY_RATIO = 0.0 + +ENABLE_PYTORCH_ATTENTION = False +if args.use_pytorch_cross_attention: + ENABLE_PYTORCH_ATTENTION = True + XFORMERS_IS_AVAILABLE = False + +try: + if is_nvidia(): + if torch_version_numeric[0] >= 2: + if ENABLE_PYTORCH_ATTENTION == False and args.use_split_cross_attention == False and args.use_quad_cross_attention == False: + ENABLE_PYTORCH_ATTENTION = True + if is_intel_xpu() or is_ascend_npu() or is_mlu() or is_ixuca(): + if args.use_split_cross_attention == False and args.use_quad_cross_attention == False: + ENABLE_PYTORCH_ATTENTION = True +except: + pass + + +SUPPORT_FP8_OPS = args.supports_fp8_compute +try: + if is_amd(): + try: + rocm_version = tuple(map(int, str(torch.version.hip).split(".")[:2])) + except: + rocm_version = (6, -1) + arch = torch.cuda.get_device_properties(get_torch_device()).gcnArchName + logging.info("AMD arch: {}".format(arch)) + logging.info("ROCm version: {}".format(rocm_version)) + if args.use_split_cross_attention == False and args.use_quad_cross_attention == False: + if importlib.util.find_spec('triton') is not None: # AMD efficient attention implementation depends on triton. TODO: better way of detecting if it's compiled in or not. + if torch_version_numeric >= (2, 7): # works on 2.6 but doesn't actually seem to improve much + if any((a in arch) for a in ["gfx90a", "gfx942", "gfx1100", "gfx1101", "gfx1151"]): # TODO: more arches, TODO: gfx950 + ENABLE_PYTORCH_ATTENTION = True +# if torch_version_numeric >= (2, 8): +# if any((a in arch) for a in ["gfx1201"]): +# ENABLE_PYTORCH_ATTENTION = True + if torch_version_numeric >= (2, 7) and rocm_version >= (6, 4): + if any((a in arch) for a in ["gfx1201", "gfx942", "gfx950"]): # TODO: more arches + SUPPORT_FP8_OPS = True + +except: + pass + + +if ENABLE_PYTORCH_ATTENTION: + torch.backends.cuda.enable_math_sdp(True) + torch.backends.cuda.enable_flash_sdp(True) + torch.backends.cuda.enable_mem_efficient_sdp(True) + + +PRIORITIZE_FP16 = False # TODO: remove and replace with something that shows exactly which dtype is faster than the other +try: + if (is_nvidia() or is_amd()) and PerformanceFeature.Fp16Accumulation in args.fast: + torch.backends.cuda.matmul.allow_fp16_accumulation = True + PRIORITIZE_FP16 = True # TODO: limit to cards where it actually boosts performance + logging.info("Enabled fp16 accumulation.") +except: + pass + +try: + if torch_version_numeric >= (2, 5): + torch.backends.cuda.allow_fp16_bf16_reduction_math_sdp(True) +except: + logging.warning("Warning, could not set allow_fp16_bf16_reduction_math_sdp") + +if args.lowvram: + set_vram_to = VRAMState.LOW_VRAM + lowvram_available = True +elif args.novram: + set_vram_to = VRAMState.NO_VRAM +elif args.highvram or args.gpu_only: + vram_state = VRAMState.HIGH_VRAM + +FORCE_FP32 = False +if args.force_fp32: + logging.info("Forcing FP32, if this improves things please report it.") + FORCE_FP32 = True + +if lowvram_available: + if set_vram_to in (VRAMState.LOW_VRAM, VRAMState.NO_VRAM): + vram_state = set_vram_to + + +if cpu_state != CPUState.GPU: + vram_state = VRAMState.DISABLED + +if cpu_state == CPUState.MPS: + vram_state = VRAMState.SHARED + +logging.info(f"Set vram state to: {vram_state.name}") + +DISABLE_SMART_MEMORY = args.disable_smart_memory + +if DISABLE_SMART_MEMORY: + logging.info("Disabling smart memory management") + +def get_torch_device_name(device): + if hasattr(device, 'type'): + if device.type == "cuda": + try: + allocator_backend = torch.cuda.get_allocator_backend() + except: + allocator_backend = "" + return "{} {} : {}".format(device, torch.cuda.get_device_name(device), allocator_backend) + elif device.type == "xpu": + return "{} {}".format(device, torch.xpu.get_device_name(device)) + else: + return "{}".format(device.type) + elif is_intel_xpu(): + return "{} {}".format(device, torch.xpu.get_device_name(device)) + elif is_ascend_npu(): + return "{} {}".format(device, torch.npu.get_device_name(device)) + elif is_mlu(): + return "{} {}".format(device, torch.mlu.get_device_name(device)) + else: + return "CUDA {}: {}".format(device, torch.cuda.get_device_name(device)) + +try: + logging.info("Device: {}".format(get_torch_device_name(get_torch_device()))) +except: + logging.warning("Could not pick default device.") + + +current_loaded_models = [] + +def module_size(module): + module_mem = 0 + sd = module.state_dict() + for k in sd: + t = sd[k] + module_mem += t.nelement() * t.element_size() + return module_mem + +class LoadedModel: + def __init__(self, model): + self._set_model(model) + self.device = model.load_device + self.real_model = None + self.currently_used = True + self.model_finalizer = None + self._patcher_finalizer = None + + def _set_model(self, model): + self._model = weakref.ref(model) + if model.parent is not None: + self._parent_model = weakref.ref(model.parent) + self._patcher_finalizer = weakref.finalize(model, self._switch_parent) + + def _switch_parent(self): + model = self._parent_model() + if model is not None: + self._set_model(model) + + @property + def model(self): + return self._model() + + def model_memory(self): + return self.model.model_size() + + def model_loaded_memory(self): + return self.model.loaded_size() + + def model_offloaded_memory(self): + return self.model.model_size() - self.model.loaded_size() + + def model_memory_required(self, device): + if device == self.model.current_loaded_device(): + return self.model_offloaded_memory() + else: + return self.model_memory() + + def model_load(self, lowvram_model_memory=0, force_patch_weights=False): + self.model.model_patches_to(self.device) + self.model.model_patches_to(self.model.model_dtype()) + + # if self.model.loaded_size() > 0: + use_more_vram = lowvram_model_memory + if use_more_vram == 0: + use_more_vram = 1e32 + self.model_use_more_vram(use_more_vram, force_patch_weights=force_patch_weights) + real_model = self.model.model + + if is_intel_xpu() and not args.disable_ipex_optimize and 'ipex' in globals() and real_model is not None: + with torch.no_grad(): + real_model = ipex.optimize(real_model.eval(), inplace=True, graph_mode=True, concat_linear=True) + + self.real_model = weakref.ref(real_model) + self.model_finalizer = weakref.finalize(real_model, cleanup_models) + return real_model + + def should_reload_model(self, force_patch_weights=False): + if force_patch_weights and self.model.lowvram_patch_counter() > 0: + return True + return False + + def model_unload(self, memory_to_free=None, unpatch_weights=True): + if memory_to_free is not None: + if memory_to_free < self.model.loaded_size(): + freed = self.model.partially_unload(self.model.offload_device, memory_to_free) + if freed >= memory_to_free: + return False + self.model.detach(unpatch_weights) + self.model_finalizer.detach() + self.model_finalizer = None + self.real_model = None + return True + + def model_use_more_vram(self, extra_memory, force_patch_weights=False): + return self.model.partially_load(self.device, extra_memory, force_patch_weights=force_patch_weights) + + def __eq__(self, other): + return self.model is other.model + + def __del__(self): + if self._patcher_finalizer is not None: + self._patcher_finalizer.detach() + + def is_dead(self): + return self.real_model() is not None and self.model is None + + +def use_more_memory(extra_memory, loaded_models, device): + for m in loaded_models: + if m.device == device: + extra_memory -= m.model_use_more_vram(extra_memory) + if extra_memory <= 0: + break + +def offloaded_memory(loaded_models, device): + offloaded_mem = 0 + for m in loaded_models: + if m.device == device: + offloaded_mem += m.model_offloaded_memory() + return offloaded_mem + +WINDOWS = any(platform.win32_ver()) + +EXTRA_RESERVED_VRAM = 400 * 1024 * 1024 +if WINDOWS: + EXTRA_RESERVED_VRAM = 600 * 1024 * 1024 #Windows is higher because of the shared vram issue + if total_vram > (15 * 1024): # more extra reserved vram on 16GB+ cards + EXTRA_RESERVED_VRAM += 100 * 1024 * 1024 + +if args.reserve_vram is not None: + EXTRA_RESERVED_VRAM = args.reserve_vram * 1024 * 1024 * 1024 + logging.debug("Reserving {}MB vram for other applications.".format(EXTRA_RESERVED_VRAM / (1024 * 1024))) + +def extra_reserved_memory(): + return EXTRA_RESERVED_VRAM + +def minimum_inference_memory(): + return (1024 * 1024 * 1024) * 0.8 + extra_reserved_memory() + +def free_memory(memory_required, device, keep_loaded=[]): + cleanup_models_gc() + unloaded_model = [] + can_unload = [] + unloaded_models = [] + + for i in range(len(current_loaded_models) -1, -1, -1): + shift_model = current_loaded_models[i] + if shift_model.device == device: + if shift_model not in keep_loaded and not shift_model.is_dead(): + can_unload.append((-shift_model.model_offloaded_memory(), sys.getrefcount(shift_model.model), shift_model.model_memory(), i)) + shift_model.currently_used = False + + for x in sorted(can_unload): + i = x[-1] + memory_to_free = None + if not DISABLE_SMART_MEMORY: + free_mem = get_free_memory(device) + if free_mem > memory_required: + break + memory_to_free = memory_required - free_mem + logging.debug(f"Unloading {current_loaded_models[i].model.model.__class__.__name__}") + if current_loaded_models[i].model_unload(memory_to_free): + unloaded_model.append(i) + + for i in sorted(unloaded_model, reverse=True): + unloaded_models.append(current_loaded_models.pop(i)) + + if len(unloaded_model) > 0: + soft_empty_cache() + else: + if vram_state != VRAMState.HIGH_VRAM: + mem_free_total, mem_free_torch = get_free_memory(device, torch_free_too=True) + if mem_free_torch > mem_free_total * 0.25: + soft_empty_cache() + return unloaded_models + +def load_models_gpu(models, memory_required=0, force_patch_weights=False, minimum_memory_required=None, force_full_load=False): + cleanup_models_gc() + global vram_state + + inference_memory = minimum_inference_memory() + extra_mem = max(inference_memory, memory_required + extra_reserved_memory()) + if minimum_memory_required is None: + minimum_memory_required = extra_mem + else: + minimum_memory_required = max(inference_memory, minimum_memory_required + extra_reserved_memory()) + + models_temp = set() + for m in models: + models_temp.add(m) + for mm in m.model_patches_models(): + models_temp.add(mm) + + models = models_temp + + models_to_load = [] + + for x in models: + loaded_model = LoadedModel(x) + try: + loaded_model_index = current_loaded_models.index(loaded_model) + except: + loaded_model_index = None + + if loaded_model_index is not None: + loaded = current_loaded_models[loaded_model_index] + loaded.currently_used = True + models_to_load.append(loaded) + else: + if hasattr(x, "model"): + logging.info(f"Requested to load {x.model.__class__.__name__}") + models_to_load.append(loaded_model) + + for loaded_model in models_to_load: + to_unload = [] + for i in range(len(current_loaded_models)): + if loaded_model.model.is_clone(current_loaded_models[i].model): + to_unload = [i] + to_unload + for i in to_unload: + current_loaded_models.pop(i).model.detach(unpatch_all=False) + + total_memory_required = {} + for loaded_model in models_to_load: + total_memory_required[loaded_model.device] = total_memory_required.get(loaded_model.device, 0) + loaded_model.model_memory_required(loaded_model.device) + + for device in total_memory_required: + if device != torch.device("cpu"): + free_memory(total_memory_required[device] * 1.1 + extra_mem, device) + + for device in total_memory_required: + if device != torch.device("cpu"): + free_mem = get_free_memory(device) + if free_mem < minimum_memory_required: + models_l = free_memory(minimum_memory_required, device) + logging.info("{} models unloaded.".format(len(models_l))) + + for loaded_model in models_to_load: + model = loaded_model.model + torch_dev = model.load_device + if is_device_cpu(torch_dev): + vram_set_state = VRAMState.DISABLED + else: + vram_set_state = vram_state + lowvram_model_memory = 0 + if lowvram_available and (vram_set_state == VRAMState.LOW_VRAM or vram_set_state == VRAMState.NORMAL_VRAM) and not force_full_load: + loaded_memory = loaded_model.model_loaded_memory() + current_free_mem = get_free_memory(torch_dev) + loaded_memory + + lowvram_model_memory = max(128 * 1024 * 1024, (current_free_mem - minimum_memory_required), min(current_free_mem * MIN_WEIGHT_MEMORY_RATIO, current_free_mem - minimum_inference_memory())) + lowvram_model_memory = max(0.1, lowvram_model_memory - loaded_memory) + + if vram_set_state == VRAMState.NO_VRAM: + lowvram_model_memory = 0.1 + + loaded_model.model_load(lowvram_model_memory, force_patch_weights=force_patch_weights) + current_loaded_models.insert(0, loaded_model) + return + +def load_model_gpu(model): + return load_models_gpu([model]) + +def loaded_models(only_currently_used=False): + output = [] + for m in current_loaded_models: + if only_currently_used: + if not m.currently_used: + continue + + output.append(m.model) + return output + + +def cleanup_models_gc(): + do_gc = False + for i in range(len(current_loaded_models)): + cur = current_loaded_models[i] + if cur.is_dead(): + logging.info("Potential memory leak detected with model {}, doing a full garbage collect, for maximum performance avoid circular references in the model code.".format(cur.real_model().__class__.__name__)) + do_gc = True + break + + if do_gc: + gc.collect() + soft_empty_cache() + + for i in range(len(current_loaded_models)): + cur = current_loaded_models[i] + if cur.is_dead(): + logging.warning("WARNING, memory leak with model {}. Please make sure it is not being referenced from somewhere.".format(cur.real_model().__class__.__name__)) + + + +def cleanup_models(): + to_delete = [] + for i in range(len(current_loaded_models)): + if current_loaded_models[i].real_model() is None: + to_delete = [i] + to_delete + + for i in to_delete: + x = current_loaded_models.pop(i) + del x + +def dtype_size(dtype): + dtype_size = 4 + if dtype == torch.float16 or dtype == torch.bfloat16: + dtype_size = 2 + elif dtype == torch.float32: + dtype_size = 4 + else: + try: + dtype_size = dtype.itemsize + except: #Old pytorch doesn't have .itemsize + pass + return dtype_size + +def unet_offload_device(): + if vram_state == VRAMState.HIGH_VRAM: + return get_torch_device() + else: + return torch.device("cpu") + +def unet_inital_load_device(parameters, dtype): + torch_dev = get_torch_device() + if vram_state == VRAMState.HIGH_VRAM or vram_state == VRAMState.SHARED: + return torch_dev + + cpu_dev = torch.device("cpu") + if DISABLE_SMART_MEMORY or vram_state == VRAMState.NO_VRAM: + return cpu_dev + + model_size = dtype_size(dtype) * parameters + + mem_dev = get_free_memory(torch_dev) + mem_cpu = get_free_memory(cpu_dev) + if mem_dev > mem_cpu and model_size < mem_dev: + return torch_dev + else: + return cpu_dev + +def maximum_vram_for_weights(device=None): + return (get_total_memory(device) * 0.88 - minimum_inference_memory()) + +def unet_dtype(device=None, model_params=0, supported_dtypes=[torch.float16, torch.bfloat16, torch.float32], weight_dtype=None): + if model_params < 0: + model_params = 1000000000000000000000 + if args.fp32_unet: + return torch.float32 + if args.fp64_unet: + return torch.float64 + if args.bf16_unet: + return torch.bfloat16 + if args.fp16_unet: + return torch.float16 + if args.fp8_e4m3fn_unet: + return torch.float8_e4m3fn + if args.fp8_e5m2_unet: + return torch.float8_e5m2 + if args.fp8_e8m0fnu_unet: + return torch.float8_e8m0fnu + + fp8_dtype = None + if weight_dtype in FLOAT8_TYPES: + fp8_dtype = weight_dtype + + if fp8_dtype is not None: + if supports_fp8_compute(device): #if fp8 compute is supported the casting is most likely not expensive + return fp8_dtype + + free_model_memory = maximum_vram_for_weights(device) + if model_params * 2 > free_model_memory: + return fp8_dtype + + if PRIORITIZE_FP16 or weight_dtype == torch.float16: + if torch.float16 in supported_dtypes and should_use_fp16(device=device, model_params=model_params): + return torch.float16 + + for dt in supported_dtypes: + if dt == torch.float16 and should_use_fp16(device=device, model_params=model_params): + if torch.float16 in supported_dtypes: + return torch.float16 + if dt == torch.bfloat16 and should_use_bf16(device, model_params=model_params): + if torch.bfloat16 in supported_dtypes: + return torch.bfloat16 + + for dt in supported_dtypes: + if dt == torch.float16 and should_use_fp16(device=device, model_params=model_params, manual_cast=True): + if torch.float16 in supported_dtypes: + return torch.float16 + if dt == torch.bfloat16 and should_use_bf16(device, model_params=model_params, manual_cast=True): + if torch.bfloat16 in supported_dtypes: + return torch.bfloat16 + + return torch.float32 + +# None means no manual cast +def unet_manual_cast(weight_dtype, inference_device, supported_dtypes=[torch.float16, torch.bfloat16, torch.float32]): + if weight_dtype == torch.float32 or weight_dtype == torch.float64: + return None + + fp16_supported = should_use_fp16(inference_device, prioritize_performance=False) + if fp16_supported and weight_dtype == torch.float16: + return None + + bf16_supported = should_use_bf16(inference_device) + if bf16_supported and weight_dtype == torch.bfloat16: + return None + + fp16_supported = should_use_fp16(inference_device, prioritize_performance=True) + if PRIORITIZE_FP16 and fp16_supported and torch.float16 in supported_dtypes: + return torch.float16 + + for dt in supported_dtypes: + if dt == torch.float16 and fp16_supported: + return torch.float16 + if dt == torch.bfloat16 and bf16_supported: + return torch.bfloat16 + + return torch.float32 + +def text_encoder_offload_device(): + if args.gpu_only: + return get_torch_device() + else: + return torch.device("cpu") + +def text_encoder_device(): + if args.gpu_only: + return get_torch_device() + elif vram_state == VRAMState.HIGH_VRAM or vram_state == VRAMState.NORMAL_VRAM: + if should_use_fp16(prioritize_performance=False): + return get_torch_device() + else: + return torch.device("cpu") + else: + return torch.device("cpu") + +def text_encoder_initial_device(load_device, offload_device, model_size=0): + if load_device == offload_device or model_size <= 1024 * 1024 * 1024: + return offload_device + + if is_device_mps(load_device): + return load_device + + mem_l = get_free_memory(load_device) + mem_o = get_free_memory(offload_device) + if mem_l > (mem_o * 0.5) and model_size * 1.2 < mem_l: + return load_device + else: + return offload_device + +def text_encoder_dtype(device=None): + if args.fp8_e4m3fn_text_enc: + return torch.float8_e4m3fn + elif args.fp8_e5m2_text_enc: + return torch.float8_e5m2 + elif args.fp16_text_enc: + return torch.float16 + elif args.bf16_text_enc: + return torch.bfloat16 + elif args.fp32_text_enc: + return torch.float32 + + if is_device_cpu(device): + return torch.float16 + + return torch.float16 + + +def intermediate_device(): + if args.gpu_only: + return get_torch_device() + else: + return torch.device("cpu") + +def vae_device(): + if args.cpu_vae: + return torch.device("cpu") + return get_torch_device() + +def vae_offload_device(): + if args.gpu_only: + return get_torch_device() + else: + return torch.device("cpu") + +def vae_dtype(device=None, allowed_dtypes=[]): + if args.fp16_vae: + return torch.float16 + elif args.bf16_vae: + return torch.bfloat16 + elif args.fp32_vae: + return torch.float32 + + for d in allowed_dtypes: + if d == torch.float16 and should_use_fp16(device): + return d + + # NOTE: bfloat16 seems to work on AMD for the VAE but is extremely slow in some cases compared to fp32 + # slowness still a problem on pytorch nightly 2.9.0.dev20250720+rocm6.4 tested on RDNA3 + # also a problem on RDNA4 except fp32 is also slow there. + # This is due to large bf16 convolutions being extremely slow. + if d == torch.bfloat16 and ((not is_amd()) or amd_min_version(device, min_rdna_version=4)) and should_use_bf16(device): + return d + + return torch.float32 + +def get_autocast_device(dev): + if hasattr(dev, 'type'): + return dev.type + return "cuda" + +def supports_dtype(device, dtype): #TODO + if dtype == torch.float32: + return True + if is_device_cpu(device): + return False + if dtype == torch.float16: + return True + if dtype == torch.bfloat16: + return True + return False + +def supports_cast(device, dtype): #TODO + if dtype == torch.float32: + return True + if dtype == torch.float16: + return True + if directml_enabled: #TODO: test this + return False + if dtype == torch.bfloat16: + return True + if is_device_mps(device): + return False + if dtype == torch.float8_e4m3fn: + return True + if dtype == torch.float8_e5m2: + return True + return False + +def pick_weight_dtype(dtype, fallback_dtype, device=None): + if dtype is None: + dtype = fallback_dtype + elif dtype_size(dtype) > dtype_size(fallback_dtype): + dtype = fallback_dtype + + if not supports_cast(device, dtype): + dtype = fallback_dtype + + return dtype + +def device_supports_non_blocking(device): + if args.force_non_blocking: + return True + if is_device_mps(device): + return False #pytorch bug? mps doesn't support non blocking + if is_intel_xpu(): #xpu does support non blocking but it is slower on iGPUs for some reason so disable by default until situation changes + return False + if args.deterministic: #TODO: figure out why deterministic breaks non blocking from gpu to cpu (previews) + return False + if directml_enabled: + return False + return True + +def device_should_use_non_blocking(device): + if not device_supports_non_blocking(device): + return False + return False + # return True #TODO: figure out why this causes memory issues on Nvidia and possibly others + +def force_channels_last(): + if args.force_channels_last: + return True + + #TODO + return False + + +STREAMS = {} +NUM_STREAMS = 1 +if args.async_offload: + NUM_STREAMS = 2 + logging.info("Using async weight offloading with {} streams".format(NUM_STREAMS)) + +stream_counters = {} +def get_offload_stream(device): + stream_counter = stream_counters.get(device, 0) + if NUM_STREAMS <= 1: + return None + + if device in STREAMS: + ss = STREAMS[device] + s = ss[stream_counter] + stream_counter = (stream_counter + 1) % len(ss) + if is_device_cuda(device): + ss[stream_counter].wait_stream(torch.cuda.current_stream()) + elif is_device_xpu(device): + ss[stream_counter].wait_stream(torch.xpu.current_stream()) + stream_counters[device] = stream_counter + return s + elif is_device_cuda(device): + ss = [] + for k in range(NUM_STREAMS): + ss.append(torch.cuda.Stream(device=device, priority=0)) + STREAMS[device] = ss + s = ss[stream_counter] + stream_counter = (stream_counter + 1) % len(ss) + stream_counters[device] = stream_counter + return s + elif is_device_xpu(device): + ss = [] + for k in range(NUM_STREAMS): + ss.append(torch.xpu.Stream(device=device, priority=0)) + STREAMS[device] = ss + s = ss[stream_counter] + stream_counter = (stream_counter + 1) % len(ss) + stream_counters[device] = stream_counter + return s + return None + +def sync_stream(device, stream): + if stream is None: + return + if is_device_cuda(device): + torch.cuda.current_stream().wait_stream(stream) + elif is_device_xpu(device): + torch.xpu.current_stream().wait_stream(stream) + +def cast_to(weight, dtype=None, device=None, non_blocking=False, copy=False, stream=None): + if device is None or weight.device == device: + if not copy: + if dtype is None or weight.dtype == dtype: + return weight + if stream is not None: + with stream: + return weight.to(dtype=dtype, copy=copy) + return weight.to(dtype=dtype, copy=copy) + + if stream is not None: + with stream: + r = torch.empty_like(weight, dtype=dtype, device=device) + r.copy_(weight, non_blocking=non_blocking) + else: + r = torch.empty_like(weight, dtype=dtype, device=device) + r.copy_(weight, non_blocking=non_blocking) + return r + +def cast_to_device(tensor, device, dtype, copy=False): + non_blocking = device_supports_non_blocking(device) + return cast_to(tensor, dtype=dtype, device=device, non_blocking=non_blocking, copy=copy) + +def sage_attention_enabled(): + return args.use_sage_attention + +def flash_attention_enabled(): + return args.use_flash_attention + +def xformers_enabled(): + global directml_enabled + global cpu_state + if cpu_state != CPUState.GPU: + return False + if is_intel_xpu(): + return False + if is_ascend_npu(): + return False + if is_mlu(): + return False + if is_ixuca(): + return False + if directml_enabled: + return False + return XFORMERS_IS_AVAILABLE + + +def xformers_enabled_vae(): + enabled = xformers_enabled() + if not enabled: + return False + + return XFORMERS_ENABLED_VAE + +def pytorch_attention_enabled(): + global ENABLE_PYTORCH_ATTENTION + return ENABLE_PYTORCH_ATTENTION + +def pytorch_attention_enabled_vae(): + if is_amd(): + return False # enabling pytorch attention on AMD currently causes crash when doing high res + return pytorch_attention_enabled() + +def pytorch_attention_flash_attention(): + global ENABLE_PYTORCH_ATTENTION + if ENABLE_PYTORCH_ATTENTION: + #TODO: more reliable way of checking for flash attention? + if is_nvidia(): + return True + if is_intel_xpu(): + return True + if is_ascend_npu(): + return True + if is_mlu(): + return True + if is_amd(): + return True #if you have pytorch attention enabled on AMD it probably supports at least mem efficient attention + if is_ixuca(): + return True + return False + +def force_upcast_attention_dtype(): + upcast = args.force_upcast_attention + + macos_version = mac_version() + if macos_version is not None and ((14, 5) <= macos_version): # black image bug on recent versions of macOS, I don't think it's ever getting fixed + upcast = True + + if upcast: + return {torch.float16: torch.float32} + else: + return None + +def get_free_memory(dev=None, torch_free_too=False): + global directml_enabled + if dev is None: + dev = get_torch_device() + + if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'): + mem_free_total = psutil.virtual_memory().available + mem_free_torch = mem_free_total + else: + if directml_enabled: + mem_free_total = 1024 * 1024 * 1024 #TODO + mem_free_torch = mem_free_total + elif is_intel_xpu(): + stats = torch.xpu.memory_stats(dev) + mem_active = stats['active_bytes.all.current'] + mem_reserved = stats['reserved_bytes.all.current'] + mem_free_xpu = torch.xpu.get_device_properties(dev).total_memory - mem_reserved + mem_free_torch = mem_reserved - mem_active + mem_free_total = mem_free_xpu + mem_free_torch + elif is_ascend_npu(): + stats = torch.npu.memory_stats(dev) + mem_active = stats['active_bytes.all.current'] + mem_reserved = stats['reserved_bytes.all.current'] + mem_free_npu, _ = torch.npu.mem_get_info(dev) + mem_free_torch = mem_reserved - mem_active + mem_free_total = mem_free_npu + mem_free_torch + elif is_mlu(): + stats = torch.mlu.memory_stats(dev) + mem_active = stats['active_bytes.all.current'] + mem_reserved = stats['reserved_bytes.all.current'] + mem_free_mlu, _ = torch.mlu.mem_get_info(dev) + mem_free_torch = mem_reserved - mem_active + mem_free_total = mem_free_mlu + mem_free_torch + else: + stats = torch.cuda.memory_stats(dev) + mem_active = stats['active_bytes.all.current'] + mem_reserved = stats['reserved_bytes.all.current'] + mem_free_cuda, _ = torch.cuda.mem_get_info(dev) + mem_free_torch = mem_reserved - mem_active + mem_free_total = mem_free_cuda + mem_free_torch + + if torch_free_too: + return (mem_free_total, mem_free_torch) + else: + return mem_free_total + +def cpu_mode(): + global cpu_state + return cpu_state == CPUState.CPU + +def mps_mode(): + global cpu_state + return cpu_state == CPUState.MPS + +def is_device_type(device, type): + if hasattr(device, 'type'): + if (device.type == type): + return True + return False + +def is_device_cpu(device): + return is_device_type(device, 'cpu') + +def is_device_mps(device): + return is_device_type(device, 'mps') + +def is_device_xpu(device): + return is_device_type(device, 'xpu') + +def is_device_cuda(device): + return is_device_type(device, 'cuda') + +def is_directml_enabled(): + global directml_enabled + if directml_enabled: + return True + + return False + +def should_use_fp16(device=None, model_params=0, prioritize_performance=True, manual_cast=False): + if device is not None: + if is_device_cpu(device): + return False + + if args.force_fp16: + return True + + if FORCE_FP32: + return False + + if is_directml_enabled(): + return True + + if (device is not None and is_device_mps(device)) or mps_mode(): + return True + + if cpu_mode(): + return False + + if is_intel_xpu(): + if torch_version_numeric < (2, 3): + return True + else: + return torch.xpu.get_device_properties(device).has_fp16 + + if is_ascend_npu(): + return True + + if is_mlu(): + return True + + if is_ixuca(): + return True + + if torch.version.hip: + return True + + props = torch.cuda.get_device_properties(device) + if props.major >= 8: + return True + + if props.major < 6: + return False + + #FP16 is confirmed working on a 1080 (GP104) and on latest pytorch actually seems faster than fp32 + nvidia_10_series = ["1080", "1070", "titan x", "p3000", "p3200", "p4000", "p4200", "p5000", "p5200", "p6000", "1060", "1050", "p40", "p100", "p6", "p4"] + for x in nvidia_10_series: + if x in props.name.lower(): + if WINDOWS or manual_cast: + return True + else: + return False #weird linux behavior where fp32 is faster + + if manual_cast: + free_model_memory = maximum_vram_for_weights(device) + if (not prioritize_performance) or model_params * 4 > free_model_memory: + return True + + if props.major < 7: + return False + + #FP16 is just broken on these cards + nvidia_16_series = ["1660", "1650", "1630", "T500", "T550", "T600", "MX550", "MX450", "CMP 30HX", "T2000", "T1000", "T1200"] + for x in nvidia_16_series: + if x in props.name: + return False + + return True + +def should_use_bf16(device=None, model_params=0, prioritize_performance=True, manual_cast=False): + if device is not None: + if is_device_cpu(device): #TODO ? bf16 works on CPU but is extremely slow + return False + + if FORCE_FP32: + return False + + if directml_enabled: + return False + + if (device is not None and is_device_mps(device)) or mps_mode(): + if mac_version() < (14,): + return False + return True + + if cpu_mode(): + return False + + if is_intel_xpu(): + if torch_version_numeric < (2, 3): + return True + else: + return torch.xpu.is_bf16_supported() + + if is_ascend_npu(): + return True + + if is_ixuca(): + return True + + if is_amd(): + arch = torch.cuda.get_device_properties(device).gcnArchName + if any((a in arch) for a in ["gfx1030", "gfx1031", "gfx1010", "gfx1011", "gfx1012", "gfx906", "gfx900", "gfx803"]): # RDNA2 and older don't support bf16 + if manual_cast: + return True + return False + + props = torch.cuda.get_device_properties(device) + + if is_mlu(): + if props.major > 3: + return True + + if props.major >= 8: + return True + + bf16_works = torch.cuda.is_bf16_supported() + + if bf16_works and manual_cast: + free_model_memory = maximum_vram_for_weights(device) + if (not prioritize_performance) or model_params * 4 > free_model_memory: + return True + + return False + +def supports_fp8_compute(device=None): + if SUPPORT_FP8_OPS: + return True + + if not is_nvidia(): + return False + + props = torch.cuda.get_device_properties(device) + if props.major >= 9: + return True + if props.major < 8: + return False + if props.minor < 9: + return False + + if torch_version_numeric < (2, 3): + return False + + if WINDOWS: + if torch_version_numeric < (2, 4): + return False + + return True + +def extended_fp16_support(): + # TODO: check why some models work with fp16 on newer torch versions but not on older + if torch_version_numeric < (2, 7): + return False + + return True + +def soft_empty_cache(force=False): + global cpu_state + if cpu_state == CPUState.MPS: + torch.mps.empty_cache() + elif is_intel_xpu(): + torch.xpu.empty_cache() + elif is_ascend_npu(): + torch.npu.empty_cache() + elif is_mlu(): + torch.mlu.empty_cache() + elif torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.ipc_collect() + +def unload_all_models(): + free_memory(1e30, get_torch_device()) + + +#TODO: might be cleaner to put this somewhere else +import threading + +class InterruptProcessingException(Exception): + pass + +interrupt_processing_mutex = threading.RLock() + +interrupt_processing = False +def interrupt_current_processing(value=True): + global interrupt_processing + global interrupt_processing_mutex + with interrupt_processing_mutex: + interrupt_processing = value + +def processing_interrupted(): + global interrupt_processing + global interrupt_processing_mutex + with interrupt_processing_mutex: + return interrupt_processing + +def throw_exception_if_processing_interrupted(): + global interrupt_processing + global interrupt_processing_mutex + with interrupt_processing_mutex: + if interrupt_processing: + interrupt_processing = False + raise InterruptProcessingException() diff --git a/comfy/model_patcher.py b/comfy/model_patcher.py new file mode 100644 index 0000000000000000000000000000000000000000..1fd03d9d16a1019002a760f06de0c00403707e00 --- /dev/null +++ b/comfy/model_patcher.py @@ -0,0 +1,1245 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +from __future__ import annotations + +import collections +import copy +import inspect +import logging +import math +import uuid +from typing import Callable, Optional + +import torch + +import comfy.float +import comfy.hooks +import comfy.lora +import comfy.model_management +import comfy.patcher_extension +import comfy.utils +from comfy.comfy_types import UnetWrapperFunction +from comfy.patcher_extension import CallbacksMP, PatcherInjection, WrappersMP + + +def string_to_seed(data): + crc = 0xFFFFFFFF + for byte in data: + if isinstance(byte, str): + byte = ord(byte) + crc ^= byte + for _ in range(8): + if crc & 1: + crc = (crc >> 1) ^ 0xEDB88320 + else: + crc >>= 1 + return crc ^ 0xFFFFFFFF + +def set_model_options_patch_replace(model_options, patch, name, block_name, number, transformer_index=None): + to = model_options["transformer_options"].copy() + + if "patches_replace" not in to: + to["patches_replace"] = {} + else: + to["patches_replace"] = to["patches_replace"].copy() + + if name not in to["patches_replace"]: + to["patches_replace"][name] = {} + else: + to["patches_replace"][name] = to["patches_replace"][name].copy() + + if transformer_index is not None: + block = (block_name, number, transformer_index) + else: + block = (block_name, number) + to["patches_replace"][name][block] = patch + model_options["transformer_options"] = to + return model_options + +def set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=False): + model_options["sampler_post_cfg_function"] = model_options.get("sampler_post_cfg_function", []) + [post_cfg_function] + if disable_cfg1_optimization: + model_options["disable_cfg1_optimization"] = True + return model_options + +def set_model_options_pre_cfg_function(model_options, pre_cfg_function, disable_cfg1_optimization=False): + model_options["sampler_pre_cfg_function"] = model_options.get("sampler_pre_cfg_function", []) + [pre_cfg_function] + if disable_cfg1_optimization: + model_options["disable_cfg1_optimization"] = True + return model_options + +def create_model_options_clone(orig_model_options: dict): + return comfy.patcher_extension.copy_nested_dicts(orig_model_options) + +def create_hook_patches_clone(orig_hook_patches): + new_hook_patches = {} + for hook_ref in orig_hook_patches: + new_hook_patches[hook_ref] = {} + for k in orig_hook_patches[hook_ref]: + new_hook_patches[hook_ref][k] = orig_hook_patches[hook_ref][k][:] + return new_hook_patches + +def wipe_lowvram_weight(m): + if hasattr(m, "prev_comfy_cast_weights"): + m.comfy_cast_weights = m.prev_comfy_cast_weights + del m.prev_comfy_cast_weights + + if hasattr(m, "weight_function"): + m.weight_function = [] + + if hasattr(m, "bias_function"): + m.bias_function = [] + +def move_weight_functions(m, device): + if device is None: + return 0 + + memory = 0 + if hasattr(m, "weight_function"): + for f in m.weight_function: + if hasattr(f, "move_to"): + memory += f.move_to(device=device) + + if hasattr(m, "bias_function"): + for f in m.bias_function: + if hasattr(f, "move_to"): + memory += f.move_to(device=device) + return memory + +class LowVramPatch: + def __init__(self, key, patches): + self.key = key + self.patches = patches + def __call__(self, weight): + intermediate_dtype = weight.dtype + if intermediate_dtype not in [torch.float32, torch.float16, torch.bfloat16]: #intermediate_dtype has to be one that is supported in math ops + intermediate_dtype = torch.float32 + return comfy.float.stochastic_rounding(comfy.lora.calculate_weight(self.patches[self.key], weight.to(intermediate_dtype), self.key, intermediate_dtype=intermediate_dtype), weight.dtype, seed=string_to_seed(self.key)) + + return comfy.lora.calculate_weight(self.patches[self.key], weight, self.key, intermediate_dtype=intermediate_dtype) + +def get_key_weight(model, key): + set_func = None + convert_func = None + op_keys = key.rsplit('.', 1) + if len(op_keys) < 2: + weight = comfy.utils.get_attr(model, key) + else: + op = comfy.utils.get_attr(model, op_keys[0]) + try: + set_func = getattr(op, "set_{}".format(op_keys[1])) + except AttributeError: + pass + + try: + convert_func = getattr(op, "convert_{}".format(op_keys[1])) + except AttributeError: + pass + + weight = getattr(op, op_keys[1]) + if convert_func is not None: + weight = comfy.utils.get_attr(model, key) + + return weight, set_func, convert_func + +class AutoPatcherEjector: + def __init__(self, model: 'ModelPatcher', skip_and_inject_on_exit_only=False): + self.model = model + self.was_injected = False + self.prev_skip_injection = False + self.skip_and_inject_on_exit_only = skip_and_inject_on_exit_only + + def __enter__(self): + self.was_injected = False + self.prev_skip_injection = self.model.skip_injection + if self.skip_and_inject_on_exit_only: + self.model.skip_injection = True + if self.model.is_injected: + self.model.eject_model() + self.was_injected = True + + def __exit__(self, *args): + if self.skip_and_inject_on_exit_only: + self.model.skip_injection = self.prev_skip_injection + self.model.inject_model() + if self.was_injected and not self.model.skip_injection: + self.model.inject_model() + self.model.skip_injection = self.prev_skip_injection + +class MemoryCounter: + def __init__(self, initial: int, minimum=0): + self.value = initial + self.minimum = minimum + # TODO: add a safe limit besides 0 + + def use(self, weight: torch.Tensor): + weight_size = weight.nelement() * weight.element_size() + if self.is_useable(weight_size): + self.decrement(weight_size) + return True + return False + + def is_useable(self, used: int): + return self.value - used > self.minimum + + def decrement(self, used: int): + self.value -= used + +class ModelPatcher: + def __init__(self, model, load_device, offload_device, size=0, weight_inplace_update=False): + self.size = size + self.model = model + if not hasattr(self.model, 'device'): + logging.debug("Model doesn't have a device attribute.") + self.model.device = offload_device + elif self.model.device is None: + self.model.device = offload_device + + self.patches = {} + self.backup = {} + self.object_patches = {} + self.object_patches_backup = {} + self.weight_wrapper_patches = {} + self.model_options = {"transformer_options":{}} + self.model_size() + self.load_device = load_device + self.offload_device = offload_device + self.weight_inplace_update = weight_inplace_update + self.force_cast_weights = False + self.patches_uuid = uuid.uuid4() + self.parent = None + + self.attachments: dict[str] = {} + self.additional_models: dict[str, list[ModelPatcher]] = {} + self.callbacks: dict[str, dict[str, list[Callable]]] = CallbacksMP.init_callbacks() + self.wrappers: dict[str, dict[str, list[Callable]]] = WrappersMP.init_wrappers() + + self.is_injected = False + self.skip_injection = False + self.injections: dict[str, list[PatcherInjection]] = {} + + self.hook_patches: dict[comfy.hooks._HookRef] = {} + self.hook_patches_backup: dict[comfy.hooks._HookRef] = None + self.hook_backup: dict[str, tuple[torch.Tensor, torch.device]] = {} + self.cached_hook_patches: dict[comfy.hooks.HookGroup, dict[str, torch.Tensor]] = {} + self.current_hooks: Optional[comfy.hooks.HookGroup] = None + self.forced_hooks: Optional[comfy.hooks.HookGroup] = None # NOTE: only used for CLIP at this time + self.is_clip = False + self.hook_mode = comfy.hooks.EnumHookMode.MaxSpeed + + if not hasattr(self.model, 'model_loaded_weight_memory'): + self.model.model_loaded_weight_memory = 0 + + if not hasattr(self.model, 'lowvram_patch_counter'): + self.model.lowvram_patch_counter = 0 + + if not hasattr(self.model, 'model_lowvram'): + self.model.model_lowvram = False + + if not hasattr(self.model, 'current_weight_patches_uuid'): + self.model.current_weight_patches_uuid = None + + def model_size(self): + if self.size > 0: + return self.size + self.size = comfy.model_management.module_size(self.model) + return self.size + + def loaded_size(self): + return self.model.model_loaded_weight_memory + + def lowvram_patch_counter(self): + return self.model.lowvram_patch_counter + + def clone(self): + n = self.__class__(self.model, self.load_device, self.offload_device, self.size, weight_inplace_update=self.weight_inplace_update) + n.patches = {} + for k in self.patches: + n.patches[k] = self.patches[k][:] + n.patches_uuid = self.patches_uuid + + n.object_patches = self.object_patches.copy() + n.weight_wrapper_patches = self.weight_wrapper_patches.copy() + n.model_options = copy.deepcopy(self.model_options) + n.backup = self.backup + n.object_patches_backup = self.object_patches_backup + n.parent = self + + n.force_cast_weights = self.force_cast_weights + + # attachments + n.attachments = {} + for k in self.attachments: + if hasattr(self.attachments[k], "on_model_patcher_clone"): + n.attachments[k] = self.attachments[k].on_model_patcher_clone() + else: + n.attachments[k] = self.attachments[k] + # additional models + for k, c in self.additional_models.items(): + n.additional_models[k] = [x.clone() for x in c] + # callbacks + for k, c in self.callbacks.items(): + n.callbacks[k] = {} + for k1, c1 in c.items(): + n.callbacks[k][k1] = c1.copy() + # sample wrappers + for k, w in self.wrappers.items(): + n.wrappers[k] = {} + for k1, w1 in w.items(): + n.wrappers[k][k1] = w1.copy() + # injection + n.is_injected = self.is_injected + n.skip_injection = self.skip_injection + for k, i in self.injections.items(): + n.injections[k] = i.copy() + # hooks + n.hook_patches = create_hook_patches_clone(self.hook_patches) + n.hook_patches_backup = create_hook_patches_clone(self.hook_patches_backup) if self.hook_patches_backup else self.hook_patches_backup + for group in self.cached_hook_patches: + n.cached_hook_patches[group] = {} + for k in self.cached_hook_patches[group]: + n.cached_hook_patches[group][k] = self.cached_hook_patches[group][k] + n.hook_backup = self.hook_backup + n.current_hooks = self.current_hooks.clone() if self.current_hooks else self.current_hooks + n.forced_hooks = self.forced_hooks.clone() if self.forced_hooks else self.forced_hooks + n.is_clip = self.is_clip + n.hook_mode = self.hook_mode + + for callback in self.get_all_callbacks(CallbacksMP.ON_CLONE): + callback(self, n) + return n + + def is_clone(self, other): + if hasattr(other, 'model') and self.model is other.model: + return True + return False + + def clone_has_same_weights(self, clone: 'ModelPatcher'): + if not self.is_clone(clone): + return False + + if self.current_hooks != clone.current_hooks: + return False + if self.forced_hooks != clone.forced_hooks: + return False + if self.hook_patches.keys() != clone.hook_patches.keys(): + return False + if self.attachments.keys() != clone.attachments.keys(): + return False + if self.additional_models.keys() != clone.additional_models.keys(): + return False + for key in self.callbacks: + if len(self.callbacks[key]) != len(clone.callbacks[key]): + return False + for key in self.wrappers: + if len(self.wrappers[key]) != len(clone.wrappers[key]): + return False + if self.injections.keys() != clone.injections.keys(): + return False + + if len(self.patches) == 0 and len(clone.patches) == 0: + return True + + if self.patches_uuid == clone.patches_uuid: + if len(self.patches) != len(clone.patches): + logging.warning("WARNING: something went wrong, same patch uuid but different length of patches.") + else: + return True + + def memory_required(self, input_shape): + return self.model.memory_required(input_shape=input_shape) + + def set_model_sampler_cfg_function(self, sampler_cfg_function, disable_cfg1_optimization=False): + if len(inspect.signature(sampler_cfg_function).parameters) == 3: + self.model_options["sampler_cfg_function"] = lambda args: sampler_cfg_function(args["cond"], args["uncond"], args["cond_scale"]) #Old way + else: + self.model_options["sampler_cfg_function"] = sampler_cfg_function + if disable_cfg1_optimization: + self.model_options["disable_cfg1_optimization"] = True + + def set_model_sampler_post_cfg_function(self, post_cfg_function, disable_cfg1_optimization=False): + self.model_options = set_model_options_post_cfg_function(self.model_options, post_cfg_function, disable_cfg1_optimization) + + def set_model_sampler_pre_cfg_function(self, pre_cfg_function, disable_cfg1_optimization=False): + self.model_options = set_model_options_pre_cfg_function(self.model_options, pre_cfg_function, disable_cfg1_optimization) + + def set_model_sampler_calc_cond_batch_function(self, sampler_calc_cond_batch_function): + self.model_options["sampler_calc_cond_batch_function"] = sampler_calc_cond_batch_function + + def set_model_unet_function_wrapper(self, unet_wrapper_function: UnetWrapperFunction): + self.model_options["model_function_wrapper"] = unet_wrapper_function + + def set_model_denoise_mask_function(self, denoise_mask_function): + self.model_options["denoise_mask_function"] = denoise_mask_function + + def set_model_patch(self, patch, name): + to = self.model_options["transformer_options"] + if "patches" not in to: + to["patches"] = {} + to["patches"][name] = to["patches"].get(name, []) + [patch] + + def set_model_patch_replace(self, patch, name, block_name, number, transformer_index=None): + self.model_options = set_model_options_patch_replace(self.model_options, patch, name, block_name, number, transformer_index=transformer_index) + + def set_model_attn1_patch(self, patch): + self.set_model_patch(patch, "attn1_patch") + + def set_model_attn2_patch(self, patch): + self.set_model_patch(patch, "attn2_patch") + + def set_model_attn1_replace(self, patch, block_name, number, transformer_index=None): + self.set_model_patch_replace(patch, "attn1", block_name, number, transformer_index) + + def set_model_attn2_replace(self, patch, block_name, number, transformer_index=None): + self.set_model_patch_replace(patch, "attn2", block_name, number, transformer_index) + + def set_model_attn1_output_patch(self, patch): + self.set_model_patch(patch, "attn1_output_patch") + + def set_model_attn2_output_patch(self, patch): + self.set_model_patch(patch, "attn2_output_patch") + + def set_model_input_block_patch(self, patch): + self.set_model_patch(patch, "input_block_patch") + + def set_model_input_block_patch_after_skip(self, patch): + self.set_model_patch(patch, "input_block_patch_after_skip") + + def set_model_output_block_patch(self, patch): + self.set_model_patch(patch, "output_block_patch") + + def set_model_emb_patch(self, patch): + self.set_model_patch(patch, "emb_patch") + + def set_model_forward_timestep_embed_patch(self, patch): + self.set_model_patch(patch, "forward_timestep_embed_patch") + + def set_model_double_block_patch(self, patch): + self.set_model_patch(patch, "double_block") + + def set_model_post_input_patch(self, patch): + self.set_model_patch(patch, "post_input") + + def add_object_patch(self, name, obj): + self.object_patches[name] = obj + + def set_model_compute_dtype(self, dtype): + self.add_object_patch("manual_cast_dtype", dtype) + if dtype is not None: + self.force_cast_weights = True + self.patches_uuid = uuid.uuid4() #TODO: optimize by preventing a full model reload for this + + def add_weight_wrapper(self, name, function): + self.weight_wrapper_patches[name] = self.weight_wrapper_patches.get(name, []) + [function] + self.patches_uuid = uuid.uuid4() + + def get_model_object(self, name: str) -> torch.nn.Module: + """Retrieves a nested attribute from an object using dot notation considering + object patches. + + Args: + name (str): The attribute path using dot notation (e.g. "model.layer.weight") + + Returns: + The value of the requested attribute + + Example: + patcher = ModelPatcher() + weight = patcher.get_model_object("layer1.conv.weight") + """ + if name in self.object_patches: + return self.object_patches[name] + else: + if name in self.object_patches_backup: + return self.object_patches_backup[name] + else: + return comfy.utils.get_attr(self.model, name) + + def model_patches_to(self, device): + to = self.model_options["transformer_options"] + if "patches" in to: + patches = to["patches"] + for name in patches: + patch_list = patches[name] + for i in range(len(patch_list)): + if hasattr(patch_list[i], "to"): + patch_list[i] = patch_list[i].to(device) + if "patches_replace" in to: + patches = to["patches_replace"] + for name in patches: + patch_list = patches[name] + for k in patch_list: + if hasattr(patch_list[k], "to"): + patch_list[k] = patch_list[k].to(device) + if "model_function_wrapper" in self.model_options: + wrap_func = self.model_options["model_function_wrapper"] + if hasattr(wrap_func, "to"): + self.model_options["model_function_wrapper"] = wrap_func.to(device) + + def model_patches_models(self): + to = self.model_options["transformer_options"] + models = [] + if "patches" in to: + patches = to["patches"] + for name in patches: + patch_list = patches[name] + for i in range(len(patch_list)): + if hasattr(patch_list[i], "models"): + models += patch_list[i].models() + if "patches_replace" in to: + patches = to["patches_replace"] + for name in patches: + patch_list = patches[name] + for k in patch_list: + if hasattr(patch_list[k], "models"): + models += patch_list[k].models() + if "model_function_wrapper" in self.model_options: + wrap_func = self.model_options["model_function_wrapper"] + if hasattr(wrap_func, "models"): + models += wrap_func.models() + + return models + + def model_dtype(self): + if hasattr(self.model, "get_dtype"): + return self.model.get_dtype() + + def add_patches(self, patches, strength_patch=1.0, strength_model=1.0): + with self.use_ejected(): + p = set() + model_sd = self.model.state_dict() + for k in patches: + offset = None + function = None + if isinstance(k, str): + key = k + else: + offset = k[1] + key = k[0] + if len(k) > 2: + function = k[2] + + if key in model_sd: + p.add(k) + current_patches = self.patches.get(key, []) + current_patches.append((strength_patch, patches[k], strength_model, offset, function)) + self.patches[key] = current_patches + + self.patches_uuid = uuid.uuid4() + return list(p) + + def get_key_patches(self, filter_prefix=None): + model_sd = self.model_state_dict() + p = {} + for k in model_sd: + if filter_prefix is not None: + if not k.startswith(filter_prefix): + continue + bk = self.backup.get(k, None) + hbk = self.hook_backup.get(k, None) + weight, set_func, convert_func = get_key_weight(self.model, k) + if bk is not None: + weight = bk.weight + if hbk is not None: + weight = hbk[0] + if convert_func is None: + convert_func = lambda a, **kwargs: a + + if k in self.patches: + p[k] = [(weight, convert_func)] + self.patches[k] + else: + p[k] = [(weight, convert_func)] + return p + + def model_state_dict(self, filter_prefix=None): + with self.use_ejected(): + sd = self.model.state_dict() + keys = list(sd.keys()) + if filter_prefix is not None: + for k in keys: + if not k.startswith(filter_prefix): + sd.pop(k) + return sd + + def patch_weight_to_device(self, key, device_to=None, inplace_update=False): + if key not in self.patches: + return + + weight, set_func, convert_func = get_key_weight(self.model, key) + inplace_update = self.weight_inplace_update or inplace_update + + if key not in self.backup: + self.backup[key] = collections.namedtuple('Dimension', ['weight', 'inplace_update'])(weight.to(device=self.offload_device, copy=inplace_update), inplace_update) + + if device_to is not None: + temp_weight = comfy.model_management.cast_to_device(weight, device_to, torch.float32, copy=True) + else: + temp_weight = weight.to(torch.float32, copy=True) + if convert_func is not None: + temp_weight = convert_func(temp_weight, inplace=True) + + out_weight = comfy.lora.calculate_weight(self.patches[key], temp_weight, key) + if set_func is None: + out_weight = comfy.float.stochastic_rounding(out_weight, weight.dtype, seed=string_to_seed(key)) + if inplace_update: + comfy.utils.copy_to_param(self.model, key, out_weight) + else: + comfy.utils.set_attr_param(self.model, key, out_weight) + else: + set_func(out_weight, inplace_update=inplace_update, seed=string_to_seed(key)) + + def _load_list(self): + loading = [] + for n, m in self.model.named_modules(): + params = [] + skip = False + for name, param in m.named_parameters(recurse=False): + params.append(name) + for name, param in m.named_parameters(recurse=True): + if name not in params: + skip = True # skip random weights in non leaf modules + break + if not skip and (hasattr(m, "comfy_cast_weights") or len(params) > 0): + loading.append((comfy.model_management.module_size(m), n, m, params)) + return loading + + def load(self, device_to=None, lowvram_model_memory=0, force_patch_weights=False, full_load=False): + with self.use_ejected(): + self.unpatch_hooks() + mem_counter = 0 + patch_counter = 0 + lowvram_counter = 0 + loading = self._load_list() + + load_completely = [] + loading.sort(reverse=True) + for x in loading: + n = x[1] + m = x[2] + params = x[3] + module_mem = x[0] + + lowvram_weight = False + + weight_key = "{}.weight".format(n) + bias_key = "{}.bias".format(n) + + if not full_load and hasattr(m, "comfy_cast_weights"): + if mem_counter + module_mem >= lowvram_model_memory: + lowvram_weight = True + lowvram_counter += 1 + if hasattr(m, "prev_comfy_cast_weights"): #Already lowvramed + continue + + cast_weight = self.force_cast_weights + if lowvram_weight: + if hasattr(m, "comfy_cast_weights"): + m.weight_function = [] + m.bias_function = [] + + if weight_key in self.patches: + if force_patch_weights: + self.patch_weight_to_device(weight_key) + else: + m.weight_function = [LowVramPatch(weight_key, self.patches)] + patch_counter += 1 + if bias_key in self.patches: + if force_patch_weights: + self.patch_weight_to_device(bias_key) + else: + m.bias_function = [LowVramPatch(bias_key, self.patches)] + patch_counter += 1 + + cast_weight = True + else: + if hasattr(m, "comfy_cast_weights"): + wipe_lowvram_weight(m) + + if full_load or mem_counter + module_mem < lowvram_model_memory: + mem_counter += module_mem + load_completely.append((module_mem, n, m, params)) + + if cast_weight and hasattr(m, "comfy_cast_weights"): + m.prev_comfy_cast_weights = m.comfy_cast_weights + m.comfy_cast_weights = True + + if weight_key in self.weight_wrapper_patches: + m.weight_function.extend(self.weight_wrapper_patches[weight_key]) + + if bias_key in self.weight_wrapper_patches: + m.bias_function.extend(self.weight_wrapper_patches[bias_key]) + + mem_counter += move_weight_functions(m, device_to) + + load_completely.sort(reverse=True) + for x in load_completely: + n = x[1] + m = x[2] + params = x[3] + if hasattr(m, "comfy_patched_weights"): + if m.comfy_patched_weights == True: + continue + + for param in params: + self.patch_weight_to_device("{}.{}".format(n, param), device_to=device_to) + + logging.debug("lowvram: loaded module regularly {} {}".format(n, m)) + m.comfy_patched_weights = True + + for x in load_completely: + x[2].to(device_to) + + if lowvram_counter > 0: + logging.info("loaded partially {} {} {}".format(lowvram_model_memory / (1024 * 1024), mem_counter / (1024 * 1024), patch_counter)) + self.model.model_lowvram = True + else: + logging.info("loaded completely {} {} {}".format(lowvram_model_memory / (1024 * 1024), mem_counter / (1024 * 1024), full_load)) + self.model.model_lowvram = False + if full_load: + self.model.to(device_to) + mem_counter = self.model_size() + + self.model.lowvram_patch_counter += patch_counter + self.model.device = device_to + self.model.model_loaded_weight_memory = mem_counter + self.model.current_weight_patches_uuid = self.patches_uuid + + for callback in self.get_all_callbacks(CallbacksMP.ON_LOAD): + callback(self, device_to, lowvram_model_memory, force_patch_weights, full_load) + + self.apply_hooks(self.forced_hooks, force_apply=True) + + def patch_model(self, device_to=None, lowvram_model_memory=0, load_weights=True, force_patch_weights=False): + with self.use_ejected(): + for k in self.object_patches: + old = comfy.utils.set_attr(self.model, k, self.object_patches[k]) + if k not in self.object_patches_backup: + self.object_patches_backup[k] = old + + if lowvram_model_memory == 0: + full_load = True + else: + full_load = False + + if load_weights: + self.load(device_to, lowvram_model_memory=lowvram_model_memory, force_patch_weights=force_patch_weights, full_load=full_load) + self.inject_model() + return self.model + + def unpatch_model(self, device_to=None, unpatch_weights=True): + self.eject_model() + if unpatch_weights: + self.unpatch_hooks() + if self.model.model_lowvram: + for m in self.model.modules(): + move_weight_functions(m, device_to) + wipe_lowvram_weight(m) + + self.model.model_lowvram = False + self.model.lowvram_patch_counter = 0 + + keys = list(self.backup.keys()) + + for k in keys: + bk = self.backup[k] + if bk.inplace_update: + comfy.utils.copy_to_param(self.model, k, bk.weight) + else: + comfy.utils.set_attr_param(self.model, k, bk.weight) + + self.model.current_weight_patches_uuid = None + self.backup.clear() + + if device_to is not None: + self.model.to(device_to) + self.model.device = device_to + self.model.model_loaded_weight_memory = 0 + + for m in self.model.modules(): + if hasattr(m, "comfy_patched_weights"): + del m.comfy_patched_weights + + keys = list(self.object_patches_backup.keys()) + for k in keys: + comfy.utils.set_attr(self.model, k, self.object_patches_backup[k]) + + self.object_patches_backup.clear() + + def partially_unload(self, device_to, memory_to_free=0): + with self.use_ejected(): + hooks_unpatched = False + memory_freed = 0 + patch_counter = 0 + unload_list = self._load_list() + unload_list.sort() + for unload in unload_list: + if memory_to_free < memory_freed: + break + module_mem = unload[0] + n = unload[1] + m = unload[2] + params = unload[3] + + lowvram_possible = hasattr(m, "comfy_cast_weights") + if hasattr(m, "comfy_patched_weights") and m.comfy_patched_weights == True: + move_weight = True + for param in params: + key = "{}.{}".format(n, param) + bk = self.backup.get(key, None) + if bk is not None: + if not lowvram_possible: + move_weight = False + break + + if not hooks_unpatched: + self.unpatch_hooks() + hooks_unpatched = True + + if bk.inplace_update: + comfy.utils.copy_to_param(self.model, key, bk.weight) + else: + comfy.utils.set_attr_param(self.model, key, bk.weight) + self.backup.pop(key) + + weight_key = "{}.weight".format(n) + bias_key = "{}.bias".format(n) + if move_weight: + cast_weight = self.force_cast_weights + m.to(device_to) + module_mem += move_weight_functions(m, device_to) + if lowvram_possible: + if weight_key in self.patches: + m.weight_function.append(LowVramPatch(weight_key, self.patches)) + patch_counter += 1 + if bias_key in self.patches: + m.bias_function.append(LowVramPatch(bias_key, self.patches)) + patch_counter += 1 + cast_weight = True + + if cast_weight: + m.prev_comfy_cast_weights = m.comfy_cast_weights + m.comfy_cast_weights = True + m.comfy_patched_weights = False + memory_freed += module_mem + logging.debug("freed {}".format(n)) + + self.model.model_lowvram = True + self.model.lowvram_patch_counter += patch_counter + self.model.model_loaded_weight_memory -= memory_freed + return memory_freed + + def partially_load(self, device_to, extra_memory=0, force_patch_weights=False): + with self.use_ejected(skip_and_inject_on_exit_only=True): + unpatch_weights = self.model.current_weight_patches_uuid is not None and (self.model.current_weight_patches_uuid != self.patches_uuid or force_patch_weights) + # TODO: force_patch_weights should not unload + reload full model + used = self.model.model_loaded_weight_memory + self.unpatch_model(self.offload_device, unpatch_weights=unpatch_weights) + if unpatch_weights: + extra_memory += (used - self.model.model_loaded_weight_memory) + + self.patch_model(load_weights=False) + full_load = False + if self.model.model_lowvram == False and self.model.model_loaded_weight_memory > 0: + self.apply_hooks(self.forced_hooks, force_apply=True) + return 0 + if self.model.model_loaded_weight_memory + extra_memory > self.model_size(): + full_load = True + current_used = self.model.model_loaded_weight_memory + try: + self.load(device_to, lowvram_model_memory=current_used + extra_memory, force_patch_weights=force_patch_weights, full_load=full_load) + except Exception as e: + self.detach() + raise e + + return self.model.model_loaded_weight_memory - current_used + + def detach(self, unpatch_all=True): + self.eject_model() + self.model_patches_to(self.offload_device) + if unpatch_all: + self.unpatch_model(self.offload_device, unpatch_weights=unpatch_all) + for callback in self.get_all_callbacks(CallbacksMP.ON_DETACH): + callback(self, unpatch_all) + return self.model + + def current_loaded_device(self): + return self.model.device + + def calculate_weight(self, patches, weight, key, intermediate_dtype=torch.float32): + logging.warning("The ModelPatcher.calculate_weight function is deprecated, please use: comfy.lora.calculate_weight instead") + return comfy.lora.calculate_weight(patches, weight, key, intermediate_dtype=intermediate_dtype) + + def cleanup(self): + self.clean_hooks() + if hasattr(self.model, "current_patcher"): + self.model.current_patcher = None + for callback in self.get_all_callbacks(CallbacksMP.ON_CLEANUP): + callback(self) + + def add_callback(self, call_type: str, callback: Callable): + self.add_callback_with_key(call_type, None, callback) + + def add_callback_with_key(self, call_type: str, key: str, callback: Callable): + c = self.callbacks.setdefault(call_type, {}).setdefault(key, []) + c.append(callback) + + def remove_callbacks_with_key(self, call_type: str, key: str): + c = self.callbacks.get(call_type, {}) + if key in c: + c.pop(key) + + def get_callbacks(self, call_type: str, key: str): + return self.callbacks.get(call_type, {}).get(key, []) + + def get_all_callbacks(self, call_type: str): + c_list = [] + for c in self.callbacks.get(call_type, {}).values(): + c_list.extend(c) + return c_list + + def add_wrapper(self, wrapper_type: str, wrapper: Callable): + self.add_wrapper_with_key(wrapper_type, None, wrapper) + + def add_wrapper_with_key(self, wrapper_type: str, key: str, wrapper: Callable): + w = self.wrappers.setdefault(wrapper_type, {}).setdefault(key, []) + w.append(wrapper) + + def remove_wrappers_with_key(self, wrapper_type: str, key: str): + w = self.wrappers.get(wrapper_type, {}) + if key in w: + w.pop(key) + + def get_wrappers(self, wrapper_type: str, key: str): + return self.wrappers.get(wrapper_type, {}).get(key, []) + + def get_all_wrappers(self, wrapper_type: str): + w_list = [] + for w in self.wrappers.get(wrapper_type, {}).values(): + w_list.extend(w) + return w_list + + def set_attachments(self, key: str, attachment): + self.attachments[key] = attachment + + def remove_attachments(self, key: str): + if key in self.attachments: + self.attachments.pop(key) + + def get_attachment(self, key: str): + return self.attachments.get(key, None) + + def set_injections(self, key: str, injections: list[PatcherInjection]): + self.injections[key] = injections + + def remove_injections(self, key: str): + if key in self.injections: + self.injections.pop(key) + + def get_injections(self, key: str): + return self.injections.get(key, None) + + def set_additional_models(self, key: str, models: list['ModelPatcher']): + self.additional_models[key] = models + + def remove_additional_models(self, key: str): + if key in self.additional_models: + self.additional_models.pop(key) + + def get_additional_models_with_key(self, key: str): + return self.additional_models.get(key, []) + + def get_additional_models(self): + all_models = [] + for models in self.additional_models.values(): + all_models.extend(models) + return all_models + + def get_nested_additional_models(self): + def _evaluate_sub_additional_models(prev_models: list[ModelPatcher], cache_set: set[ModelPatcher]): + '''Make sure circular references do not cause infinite recursion.''' + next_models = [] + for model in prev_models: + candidates = model.get_additional_models() + for c in candidates: + if c not in cache_set: + next_models.append(c) + cache_set.add(c) + if len(next_models) == 0: + return prev_models + return prev_models + _evaluate_sub_additional_models(next_models, cache_set) + + all_models = self.get_additional_models() + models_set = set(all_models) + real_all_models = _evaluate_sub_additional_models(prev_models=all_models, cache_set=models_set) + return real_all_models + + def use_ejected(self, skip_and_inject_on_exit_only=False): + return AutoPatcherEjector(self, skip_and_inject_on_exit_only=skip_and_inject_on_exit_only) + + def inject_model(self): + if self.is_injected or self.skip_injection: + return + for injections in self.injections.values(): + for inj in injections: + inj.inject(self) + self.is_injected = True + if self.is_injected: + for callback in self.get_all_callbacks(CallbacksMP.ON_INJECT_MODEL): + callback(self) + + def eject_model(self): + if not self.is_injected: + return + for injections in self.injections.values(): + for inj in injections: + inj.eject(self) + self.is_injected = False + for callback in self.get_all_callbacks(CallbacksMP.ON_EJECT_MODEL): + callback(self) + + def pre_run(self): + if hasattr(self.model, "current_patcher"): + self.model.current_patcher = self + for callback in self.get_all_callbacks(CallbacksMP.ON_PRE_RUN): + callback(self) + + def prepare_state(self, timestep): + for callback in self.get_all_callbacks(CallbacksMP.ON_PREPARE_STATE): + callback(self, timestep) + + def restore_hook_patches(self): + if self.hook_patches_backup is not None: + self.hook_patches = self.hook_patches_backup + self.hook_patches_backup = None + + def set_hook_mode(self, hook_mode: comfy.hooks.EnumHookMode): + self.hook_mode = hook_mode + + def prepare_hook_patches_current_keyframe(self, t: torch.Tensor, hook_group: comfy.hooks.HookGroup, model_options: dict[str]): + curr_t = t[0] + reset_current_hooks = False + transformer_options = model_options.get("transformer_options", {}) + for hook in hook_group.hooks: + changed = hook.hook_keyframe.prepare_current_keyframe(curr_t=curr_t, transformer_options=transformer_options) + # if keyframe changed, remove any cached HookGroups that contain hook with the same hook_ref; + # this will cause the weights to be recalculated when sampling + if changed: + # reset current_hooks if contains hook that changed + if self.current_hooks is not None: + for current_hook in self.current_hooks.hooks: + if current_hook == hook: + reset_current_hooks = True + break + for cached_group in list(self.cached_hook_patches.keys()): + if cached_group.contains(hook): + self.cached_hook_patches.pop(cached_group) + if reset_current_hooks: + self.patch_hooks(None) + + def register_all_hook_patches(self, hooks: comfy.hooks.HookGroup, target_dict: dict[str], model_options: dict=None, + registered: comfy.hooks.HookGroup = None): + self.restore_hook_patches() + if registered is None: + registered = comfy.hooks.HookGroup() + # handle WeightHooks + weight_hooks_to_register: list[comfy.hooks.WeightHook] = [] + for hook in hooks.get_type(comfy.hooks.EnumHookType.Weight): + if hook.hook_ref not in self.hook_patches: + weight_hooks_to_register.append(hook) + else: + registered.add(hook) + if len(weight_hooks_to_register) > 0: + # clone hook_patches to become backup so that any non-dynamic hooks will return to their original state + self.hook_patches_backup = create_hook_patches_clone(self.hook_patches) + for hook in weight_hooks_to_register: + hook.add_hook_patches(self, model_options, target_dict, registered) + for callback in self.get_all_callbacks(CallbacksMP.ON_REGISTER_ALL_HOOK_PATCHES): + callback(self, hooks, target_dict, model_options, registered) + return registered + + def add_hook_patches(self, hook: comfy.hooks.WeightHook, patches, strength_patch=1.0, strength_model=1.0): + with self.use_ejected(): + # NOTE: this mirrors behavior of add_patches func + current_hook_patches: dict[str,list] = self.hook_patches.get(hook.hook_ref, {}) + p = set() + model_sd = self.model.state_dict() + for k in patches: + offset = None + function = None + if isinstance(k, str): + key = k + else: + offset = k[1] + key = k[0] + if len(k) > 2: + function = k[2] + + if key in model_sd: + p.add(k) + current_patches: list[tuple] = current_hook_patches.get(key, []) + current_patches.append((strength_patch, patches[k], strength_model, offset, function)) + current_hook_patches[key] = current_patches + self.hook_patches[hook.hook_ref] = current_hook_patches + # since should care about these patches too to determine if same model, reroll patches_uuid + self.patches_uuid = uuid.uuid4() + return list(p) + + def get_combined_hook_patches(self, hooks: comfy.hooks.HookGroup): + # combined_patches will contain weights of all relevant hooks, per key + combined_patches = {} + if hooks is not None: + for hook in hooks.hooks: + hook_patches: dict = self.hook_patches.get(hook.hook_ref, {}) + for key in hook_patches.keys(): + current_patches: list[tuple] = combined_patches.get(key, []) + if math.isclose(hook.strength, 1.0): + current_patches.extend(hook_patches[key]) + else: + # patches are stored as tuples: (strength_patch, (tuple_with_weights,), strength_model) + for patch in hook_patches[key]: + new_patch = list(patch) + new_patch[0] *= hook.strength + current_patches.append(tuple(new_patch)) + combined_patches[key] = current_patches + return combined_patches + + def apply_hooks(self, hooks: comfy.hooks.HookGroup, transformer_options: dict=None, force_apply=False): + # TODO: return transformer_options dict with any additions from hooks + if self.current_hooks == hooks and (not force_apply or (not self.is_clip and hooks is None)): + return comfy.hooks.create_transformer_options_from_hooks(self, hooks, transformer_options) + self.patch_hooks(hooks=hooks) + for callback in self.get_all_callbacks(CallbacksMP.ON_APPLY_HOOKS): + callback(self, hooks) + return comfy.hooks.create_transformer_options_from_hooks(self, hooks, transformer_options) + + def patch_hooks(self, hooks: comfy.hooks.HookGroup): + with self.use_ejected(): + if hooks is not None: + model_sd_keys = list(self.model_state_dict().keys()) + memory_counter = None + if self.hook_mode == comfy.hooks.EnumHookMode.MaxSpeed: + # TODO: minimum_counter should have a minimum that conforms to loaded model requirements + memory_counter = MemoryCounter(initial=comfy.model_management.get_free_memory(self.load_device), + minimum=comfy.model_management.minimum_inference_memory()*2) + # if have cached weights for hooks, use it + cached_weights = self.cached_hook_patches.get(hooks, None) + if cached_weights is not None: + model_sd_keys_set = set(model_sd_keys) + for key in cached_weights: + if key not in model_sd_keys: + logging.warning(f"Cached hook could not patch. Key does not exist in model: {key}") + continue + self.patch_cached_hook_weights(cached_weights=cached_weights, key=key, memory_counter=memory_counter) + model_sd_keys_set.remove(key) + self.unpatch_hooks(model_sd_keys_set) + else: + self.unpatch_hooks() + relevant_patches = self.get_combined_hook_patches(hooks=hooks) + original_weights = None + if len(relevant_patches) > 0: + original_weights = self.get_key_patches() + for key in relevant_patches: + if key not in model_sd_keys: + logging.warning(f"Cached hook would not patch. Key does not exist in model: {key}") + continue + self.patch_hook_weight_to_device(hooks=hooks, combined_patches=relevant_patches, key=key, original_weights=original_weights, + memory_counter=memory_counter) + else: + self.unpatch_hooks() + self.current_hooks = hooks + + def patch_cached_hook_weights(self, cached_weights: dict, key: str, memory_counter: MemoryCounter): + if key not in self.hook_backup: + weight: torch.Tensor = comfy.utils.get_attr(self.model, key) + target_device = self.offload_device + if self.hook_mode == comfy.hooks.EnumHookMode.MaxSpeed: + used = memory_counter.use(weight) + if used: + target_device = weight.device + self.hook_backup[key] = (weight.to(device=target_device, copy=True), weight.device) + comfy.utils.copy_to_param(self.model, key, cached_weights[key][0].to(device=cached_weights[key][1])) + + def clear_cached_hook_weights(self): + self.cached_hook_patches.clear() + self.patch_hooks(None) + + def patch_hook_weight_to_device(self, hooks: comfy.hooks.HookGroup, combined_patches: dict, key: str, original_weights: dict, memory_counter: MemoryCounter): + if key not in combined_patches: + return + + weight, set_func, convert_func = get_key_weight(self.model, key) + weight: torch.Tensor + if key not in self.hook_backup: + target_device = self.offload_device + if self.hook_mode == comfy.hooks.EnumHookMode.MaxSpeed: + used = memory_counter.use(weight) + if used: + target_device = weight.device + self.hook_backup[key] = (weight.to(device=target_device, copy=True), weight.device) + # TODO: properly handle LowVramPatch, if it ends up an issue + temp_weight = comfy.model_management.cast_to_device(weight, weight.device, torch.float32, copy=True) + if convert_func is not None: + temp_weight = convert_func(temp_weight, inplace=True) + + out_weight = comfy.lora.calculate_weight(combined_patches[key], + temp_weight, + key, original_weights=original_weights) + del original_weights[key] + if set_func is None: + out_weight = comfy.float.stochastic_rounding(out_weight, weight.dtype, seed=string_to_seed(key)) + comfy.utils.copy_to_param(self.model, key, out_weight) + else: + set_func(out_weight, inplace_update=True, seed=string_to_seed(key)) + if self.hook_mode == comfy.hooks.EnumHookMode.MaxSpeed: + # TODO: disable caching if not enough system RAM to do so + target_device = self.offload_device + used = memory_counter.use(weight) + if used: + target_device = weight.device + self.cached_hook_patches.setdefault(hooks, {}) + self.cached_hook_patches[hooks][key] = (out_weight.to(device=target_device, copy=False), weight.device) + del temp_weight + del out_weight + del weight + + def unpatch_hooks(self, whitelist_keys_set: set[str]=None) -> None: + with self.use_ejected(): + if len(self.hook_backup) == 0: + self.current_hooks = None + return + keys = list(self.hook_backup.keys()) + if whitelist_keys_set: + for k in keys: + if k in whitelist_keys_set: + comfy.utils.copy_to_param(self.model, k, self.hook_backup[k][0].to(device=self.hook_backup[k][1])) + self.hook_backup.pop(k) + else: + for k in keys: + comfy.utils.copy_to_param(self.model, k, self.hook_backup[k][0].to(device=self.hook_backup[k][1])) + + self.hook_backup.clear() + self.current_hooks = None + + def clean_hooks(self): + self.unpatch_hooks() + self.clear_cached_hook_weights() + + def __del__(self): + self.detach(unpatch_all=False) + diff --git a/comfy/model_sampling.py b/comfy/model_sampling.py new file mode 100644 index 0000000000000000000000000000000000000000..b240b7f291905c90d40718565a3fdecbf85cabb3 --- /dev/null +++ b/comfy/model_sampling.py @@ -0,0 +1,383 @@ +import torch +from comfy.ldm.modules.diffusionmodules.util import make_beta_schedule +import math + +def rescale_zero_terminal_snr_sigmas(sigmas): + alphas_cumprod = 1 / ((sigmas * sigmas) + 1) + alphas_bar_sqrt = alphas_cumprod.sqrt() + + # Store old values. + alphas_bar_sqrt_0 = alphas_bar_sqrt[0].clone() + alphas_bar_sqrt_T = alphas_bar_sqrt[-1].clone() + + # Shift so the last timestep is zero. + alphas_bar_sqrt -= (alphas_bar_sqrt_T) + + # Scale so the first timestep is back to the old value. + alphas_bar_sqrt *= alphas_bar_sqrt_0 / (alphas_bar_sqrt_0 - alphas_bar_sqrt_T) + + # Convert alphas_bar_sqrt to betas + alphas_bar = alphas_bar_sqrt**2 # Revert sqrt + alphas_bar[-1] = 4.8973451890853435e-08 + return ((1 - alphas_bar) / alphas_bar) ** 0.5 + +class EPS: + def calculate_input(self, sigma, noise): + sigma = sigma.view(sigma.shape[:1] + (1,) * (noise.ndim - 1)) + return noise / (sigma ** 2 + self.sigma_data ** 2) ** 0.5 + + def calculate_denoised(self, sigma, model_output, model_input): + sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + return model_input - model_output * sigma + + def noise_scaling(self, sigma, noise, latent_image, max_denoise=False): + sigma = sigma.view(sigma.shape[:1] + (1,) * (noise.ndim - 1)) + if max_denoise: + noise = noise * torch.sqrt(1.0 + sigma ** 2.0) + else: + noise = noise * sigma + + noise += latent_image + return noise + + def inverse_noise_scaling(self, sigma, latent): + return latent + +class V_PREDICTION(EPS): + def calculate_denoised(self, sigma, model_output, model_input): + sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + return model_input * self.sigma_data ** 2 / (sigma ** 2 + self.sigma_data ** 2) - model_output * sigma * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2) ** 0.5 + +class EDM(V_PREDICTION): + def calculate_denoised(self, sigma, model_output, model_input): + sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + return model_input * self.sigma_data ** 2 / (sigma ** 2 + self.sigma_data ** 2) + model_output * sigma * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2) ** 0.5 + +class CONST: + def calculate_input(self, sigma, noise): + return noise + + def calculate_denoised(self, sigma, model_output, model_input): + sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + return model_input - model_output * sigma + + def noise_scaling(self, sigma, noise, latent_image, max_denoise=False): + sigma = sigma.view(sigma.shape[:1] + (1,) * (noise.ndim - 1)) + return sigma * noise + (1.0 - sigma) * latent_image + + def inverse_noise_scaling(self, sigma, latent): + sigma = sigma.view(sigma.shape[:1] + (1,) * (latent.ndim - 1)) + return latent / (1.0 - sigma) + +class X0(EPS): + def calculate_denoised(self, sigma, model_output, model_input): + return model_output + +class IMG_TO_IMG(X0): + def calculate_input(self, sigma, noise): + return noise + +class COSMOS_RFLOW: + def calculate_input(self, sigma, noise): + sigma = (sigma / (sigma + 1)) + sigma = sigma.view(sigma.shape[:1] + (1,) * (noise.ndim - 1)) + return noise * (1.0 - sigma) + + def calculate_denoised(self, sigma, model_output, model_input): + sigma = (sigma / (sigma + 1)) + sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + return model_input * (1.0 - sigma) - model_output * sigma + + def noise_scaling(self, sigma, noise, latent_image, max_denoise=False): + sigma = sigma.view(sigma.shape[:1] + (1,) * (noise.ndim - 1)) + noise = noise * sigma + noise += latent_image + return noise + + def inverse_noise_scaling(self, sigma, latent): + return latent + +class ModelSamplingDiscrete(torch.nn.Module): + def __init__(self, model_config=None, zsnr=None): + super().__init__() + + if model_config is not None: + sampling_settings = model_config.sampling_settings + else: + sampling_settings = {} + + beta_schedule = sampling_settings.get("beta_schedule", "linear") + linear_start = sampling_settings.get("linear_start", 0.00085) + linear_end = sampling_settings.get("linear_end", 0.012) + timesteps = sampling_settings.get("timesteps", 1000) + + if zsnr is None: + zsnr = sampling_settings.get("zsnr", False) + + self._register_schedule(given_betas=None, beta_schedule=beta_schedule, timesteps=timesteps, linear_start=linear_start, linear_end=linear_end, cosine_s=8e-3, zsnr=zsnr) + self.sigma_data = 1.0 + + def _register_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000, + linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3, zsnr=False): + if given_betas is not None: + betas = given_betas + else: + betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end, cosine_s=cosine_s) + alphas = 1. - betas + alphas_cumprod = torch.cumprod(alphas, dim=0) + + timesteps, = betas.shape + self.num_timesteps = int(timesteps) + self.linear_start = linear_start + self.linear_end = linear_end + self.zsnr = zsnr + + # self.register_buffer('betas', torch.tensor(betas, dtype=torch.float32)) + # self.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32)) + # self.register_buffer('alphas_cumprod_prev', torch.tensor(alphas_cumprod_prev, dtype=torch.float32)) + + sigmas = ((1 - alphas_cumprod) / alphas_cumprod) ** 0.5 + if self.zsnr: + sigmas = rescale_zero_terminal_snr_sigmas(sigmas) + + self.set_sigmas(sigmas) + + def set_sigmas(self, sigmas): + self.register_buffer('sigmas', sigmas.float()) + self.register_buffer('log_sigmas', sigmas.log().float()) + + @property + def sigma_min(self): + return self.sigmas[0] + + @property + def sigma_max(self): + return self.sigmas[-1] + + def timestep(self, sigma): + log_sigma = sigma.log() + dists = log_sigma.to(self.log_sigmas.device) - self.log_sigmas[:, None] + return dists.abs().argmin(dim=0).view(sigma.shape).to(sigma.device) + + def sigma(self, timestep): + t = torch.clamp(timestep.float().to(self.log_sigmas.device), min=0, max=(len(self.sigmas) - 1)) + low_idx = t.floor().long() + high_idx = t.ceil().long() + w = t.frac() + log_sigma = (1 - w) * self.log_sigmas[low_idx] + w * self.log_sigmas[high_idx] + return log_sigma.exp().to(timestep.device) + + def percent_to_sigma(self, percent): + if percent <= 0.0: + return 999999999.9 + if percent >= 1.0: + return 0.0 + percent = 1.0 - percent + return self.sigma(torch.tensor(percent * 999.0)).item() + +class ModelSamplingDiscreteEDM(ModelSamplingDiscrete): + def timestep(self, sigma): + return 0.25 * sigma.log() + + def sigma(self, timestep): + return (timestep / 0.25).exp() + +class ModelSamplingContinuousEDM(torch.nn.Module): + def __init__(self, model_config=None): + super().__init__() + if model_config is not None: + sampling_settings = model_config.sampling_settings + else: + sampling_settings = {} + + sigma_min = sampling_settings.get("sigma_min", 0.002) + sigma_max = sampling_settings.get("sigma_max", 120.0) + sigma_data = sampling_settings.get("sigma_data", 1.0) + self.set_parameters(sigma_min, sigma_max, sigma_data) + + def set_parameters(self, sigma_min, sigma_max, sigma_data): + self.sigma_data = sigma_data + sigmas = torch.linspace(math.log(sigma_min), math.log(sigma_max), 1000).exp() + + self.register_buffer('sigmas', sigmas) #for compatibility with some schedulers + self.register_buffer('log_sigmas', sigmas.log()) + + @property + def sigma_min(self): + return self.sigmas[0] + + @property + def sigma_max(self): + return self.sigmas[-1] + + def timestep(self, sigma): + return 0.25 * sigma.log() + + def sigma(self, timestep): + return (timestep / 0.25).exp() + + def percent_to_sigma(self, percent): + if percent <= 0.0: + return 999999999.9 + if percent >= 1.0: + return 0.0 + percent = 1.0 - percent + + log_sigma_min = math.log(self.sigma_min) + return math.exp((math.log(self.sigma_max) - log_sigma_min) * percent + log_sigma_min) + + +class ModelSamplingContinuousV(ModelSamplingContinuousEDM): + def timestep(self, sigma): + return sigma.atan() / math.pi * 2 + + def sigma(self, timestep): + return (timestep * math.pi / 2).tan() + + +def time_snr_shift(alpha, t): + if alpha == 1.0: + return t + return alpha * t / (1 + (alpha - 1) * t) + +class ModelSamplingDiscreteFlow(torch.nn.Module): + def __init__(self, model_config=None): + super().__init__() + if model_config is not None: + sampling_settings = model_config.sampling_settings + else: + sampling_settings = {} + + self.set_parameters(shift=sampling_settings.get("shift", 1.0), multiplier=sampling_settings.get("multiplier", 1000)) + + def set_parameters(self, shift=1.0, timesteps=1000, multiplier=1000): + self.shift = shift + self.multiplier = multiplier + ts = self.sigma((torch.arange(1, timesteps + 1, 1) / timesteps) * multiplier) + self.register_buffer('sigmas', ts) + + @property + def sigma_min(self): + return self.sigmas[0] + + @property + def sigma_max(self): + return self.sigmas[-1] + + def timestep(self, sigma): + return sigma * self.multiplier + + def sigma(self, timestep): + return time_snr_shift(self.shift, timestep / self.multiplier) + + def percent_to_sigma(self, percent): + if percent <= 0.0: + return 1.0 + if percent >= 1.0: + return 0.0 + return time_snr_shift(self.shift, 1.0 - percent) + +class StableCascadeSampling(ModelSamplingDiscrete): + def __init__(self, model_config=None): + super().__init__() + + if model_config is not None: + sampling_settings = model_config.sampling_settings + else: + sampling_settings = {} + + self.set_parameters(sampling_settings.get("shift", 1.0)) + + def set_parameters(self, shift=1.0, cosine_s=8e-3): + self.shift = shift + self.cosine_s = torch.tensor(cosine_s) + self._init_alpha_cumprod = torch.cos(self.cosine_s / (1 + self.cosine_s) * torch.pi * 0.5) ** 2 + + #This part is just for compatibility with some schedulers in the codebase + self.num_timesteps = 10000 + sigmas = torch.empty((self.num_timesteps), dtype=torch.float32) + for x in range(self.num_timesteps): + t = (x + 1) / self.num_timesteps + sigmas[x] = self.sigma(t) + + self.set_sigmas(sigmas) + + def sigma(self, timestep): + alpha_cumprod = (torch.cos((timestep + self.cosine_s) / (1 + self.cosine_s) * torch.pi * 0.5) ** 2 / self._init_alpha_cumprod) + + if self.shift != 1.0: + var = alpha_cumprod + logSNR = (var/(1-var)).log() + logSNR += 2 * torch.log(1.0 / torch.tensor(self.shift)) + alpha_cumprod = logSNR.sigmoid() + + alpha_cumprod = alpha_cumprod.clamp(0.0001, 0.9999) + return ((1 - alpha_cumprod) / alpha_cumprod) ** 0.5 + + def timestep(self, sigma): + var = 1 / ((sigma * sigma) + 1) + var = var.clamp(0, 1.0) + s, min_var = self.cosine_s.to(var.device), self._init_alpha_cumprod.to(var.device) + t = (((var * min_var) ** 0.5).acos() / (torch.pi * 0.5)) * (1 + s) - s + return t + + def percent_to_sigma(self, percent): + if percent <= 0.0: + return 999999999.9 + if percent >= 1.0: + return 0.0 + + percent = 1.0 - percent + return self.sigma(torch.tensor(percent)) + + +def flux_time_shift(mu: float, sigma: float, t): + return math.exp(mu) / (math.exp(mu) + (1 / t - 1) ** sigma) + +class ModelSamplingFlux(torch.nn.Module): + def __init__(self, model_config=None): + super().__init__() + if model_config is not None: + sampling_settings = model_config.sampling_settings + else: + sampling_settings = {} + + self.set_parameters(shift=sampling_settings.get("shift", 1.15)) + + def set_parameters(self, shift=1.15, timesteps=10000): + self.shift = shift + ts = self.sigma((torch.arange(1, timesteps + 1, 1) / timesteps)) + self.register_buffer('sigmas', ts) + + @property + def sigma_min(self): + return self.sigmas[0] + + @property + def sigma_max(self): + return self.sigmas[-1] + + def timestep(self, sigma): + return sigma + + def sigma(self, timestep): + return flux_time_shift(self.shift, 1.0, timestep) + + def percent_to_sigma(self, percent): + if percent <= 0.0: + return 1.0 + if percent >= 1.0: + return 0.0 + return flux_time_shift(self.shift, 1.0, 1.0 - percent) + + +class ModelSamplingCosmosRFlow(ModelSamplingContinuousEDM): + def timestep(self, sigma): + return sigma / (sigma + 1) + + def sigma(self, timestep): + sigma_max = self.sigma_max + if timestep >= (sigma_max / (sigma_max + 1)): + return sigma_max + + return timestep / (1 - timestep) diff --git a/comfy/ops.py b/comfy/ops.py new file mode 100644 index 0000000000000000000000000000000000000000..55e958adb1a795541e0111961a10ca5151c10e2d --- /dev/null +++ b/comfy/ops.py @@ -0,0 +1,470 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torch +import logging +import comfy.model_management +from comfy.cli_args import args, PerformanceFeature +import comfy.float +import comfy.rmsnorm +import contextlib + + +def scaled_dot_product_attention(q, k, v, *args, **kwargs): + return torch.nn.functional.scaled_dot_product_attention(q, k, v, *args, **kwargs) + + +try: + if torch.cuda.is_available(): + from torch.nn.attention import SDPBackend, sdpa_kernel + import inspect + if "set_priority" in inspect.signature(sdpa_kernel).parameters: + SDPA_BACKEND_PRIORITY = [ + SDPBackend.FLASH_ATTENTION, + SDPBackend.EFFICIENT_ATTENTION, + SDPBackend.MATH, + ] + + SDPA_BACKEND_PRIORITY.insert(0, SDPBackend.CUDNN_ATTENTION) + + def scaled_dot_product_attention(q, k, v, *args, **kwargs): + with sdpa_kernel(SDPA_BACKEND_PRIORITY, set_priority=True): + return torch.nn.functional.scaled_dot_product_attention(q, k, v, *args, **kwargs) + else: + logging.warning("Torch version too old to set sdpa backend priority.") +except (ModuleNotFoundError, TypeError): + logging.warning("Could not set sdpa backend priority.") + +cast_to = comfy.model_management.cast_to #TODO: remove once no more references + +if torch.cuda.is_available() and torch.backends.cudnn.is_available() and PerformanceFeature.AutoTune in args.fast: + torch.backends.cudnn.benchmark = True + +def cast_to_input(weight, input, non_blocking=False, copy=True): + return comfy.model_management.cast_to(weight, input.dtype, input.device, non_blocking=non_blocking, copy=copy) + +def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None): + if input is not None: + if dtype is None: + dtype = input.dtype + if bias_dtype is None: + bias_dtype = dtype + if device is None: + device = input.device + + offload_stream = comfy.model_management.get_offload_stream(device) + if offload_stream is not None: + wf_context = offload_stream + else: + wf_context = contextlib.nullcontext() + + bias = None + non_blocking = comfy.model_management.device_supports_non_blocking(device) + if s.bias is not None: + has_function = len(s.bias_function) > 0 + bias = comfy.model_management.cast_to(s.bias, bias_dtype, device, non_blocking=non_blocking, copy=has_function, stream=offload_stream) + + if has_function: + with wf_context: + for f in s.bias_function: + bias = f(bias) + + has_function = len(s.weight_function) > 0 + weight = comfy.model_management.cast_to(s.weight, dtype, device, non_blocking=non_blocking, copy=has_function, stream=offload_stream) + if has_function: + with wf_context: + for f in s.weight_function: + weight = f(weight) + + comfy.model_management.sync_stream(device, offload_stream) + return weight, bias + +class CastWeightBiasOp: + comfy_cast_weights = False + weight_function = [] + bias_function = [] + +class disable_weight_init: + class Linear(torch.nn.Linear, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + weight, bias = cast_bias_weight(self, input) + return torch.nn.functional.linear(input, weight, bias) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class Conv1d(torch.nn.Conv1d, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + weight, bias = cast_bias_weight(self, input) + return self._conv_forward(input, weight, bias) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class Conv2d(torch.nn.Conv2d, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + weight, bias = cast_bias_weight(self, input) + return self._conv_forward(input, weight, bias) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class Conv3d(torch.nn.Conv3d, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + weight, bias = cast_bias_weight(self, input) + return self._conv_forward(input, weight, bias) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class GroupNorm(torch.nn.GroupNorm, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + weight, bias = cast_bias_weight(self, input) + return torch.nn.functional.group_norm(input, self.num_groups, weight, bias, self.eps) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class LayerNorm(torch.nn.LayerNorm, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + if self.weight is not None: + weight, bias = cast_bias_weight(self, input) + else: + weight = None + bias = None + return torch.nn.functional.layer_norm(input, self.normalized_shape, weight, bias, self.eps) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class RMSNorm(comfy.rmsnorm.RMSNorm, CastWeightBiasOp): + def reset_parameters(self): + self.bias = None + return None + + def forward_comfy_cast_weights(self, input): + if self.weight is not None: + weight, bias = cast_bias_weight(self, input) + else: + weight = None + return comfy.rmsnorm.rms_norm(input, weight, self.eps) # TODO: switch to commented out line when old torch is deprecated + # return torch.nn.functional.rms_norm(input, self.normalized_shape, weight, self.eps) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class ConvTranspose2d(torch.nn.ConvTranspose2d, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input, output_size=None): + num_spatial_dims = 2 + output_padding = self._output_padding( + input, output_size, self.stride, self.padding, self.kernel_size, + num_spatial_dims, self.dilation) + + weight, bias = cast_bias_weight(self, input) + return torch.nn.functional.conv_transpose2d( + input, weight, bias, self.stride, self.padding, + output_padding, self.groups, self.dilation) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class ConvTranspose1d(torch.nn.ConvTranspose1d, CastWeightBiasOp): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input, output_size=None): + num_spatial_dims = 1 + output_padding = self._output_padding( + input, output_size, self.stride, self.padding, self.kernel_size, + num_spatial_dims, self.dilation) + + weight, bias = cast_bias_weight(self, input) + return torch.nn.functional.conv_transpose1d( + input, weight, bias, self.stride, self.padding, + output_padding, self.groups, self.dilation) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + return super().forward(*args, **kwargs) + + class Embedding(torch.nn.Embedding, CastWeightBiasOp): + def reset_parameters(self): + self.bias = None + return None + + def forward_comfy_cast_weights(self, input, out_dtype=None): + output_dtype = out_dtype + if self.weight.dtype == torch.float16 or self.weight.dtype == torch.bfloat16: + out_dtype = None + weight, bias = cast_bias_weight(self, device=input.device, dtype=out_dtype) + return torch.nn.functional.embedding(input, weight, self.padding_idx, self.max_norm, self.norm_type, self.scale_grad_by_freq, self.sparse).to(dtype=output_dtype) + + def forward(self, *args, **kwargs): + if self.comfy_cast_weights or len(self.weight_function) > 0 or len(self.bias_function) > 0: + return self.forward_comfy_cast_weights(*args, **kwargs) + else: + if "out_dtype" in kwargs: + kwargs.pop("out_dtype") + return super().forward(*args, **kwargs) + + @classmethod + def conv_nd(s, dims, *args, **kwargs): + if dims == 2: + return s.Conv2d(*args, **kwargs) + elif dims == 3: + return s.Conv3d(*args, **kwargs) + else: + raise ValueError(f"unsupported dimensions: {dims}") + + +class manual_cast(disable_weight_init): + class Linear(disable_weight_init.Linear): + comfy_cast_weights = True + + class Conv1d(disable_weight_init.Conv1d): + comfy_cast_weights = True + + class Conv2d(disable_weight_init.Conv2d): + comfy_cast_weights = True + + class Conv3d(disable_weight_init.Conv3d): + comfy_cast_weights = True + + class GroupNorm(disable_weight_init.GroupNorm): + comfy_cast_weights = True + + class LayerNorm(disable_weight_init.LayerNorm): + comfy_cast_weights = True + + class ConvTranspose2d(disable_weight_init.ConvTranspose2d): + comfy_cast_weights = True + + class ConvTranspose1d(disable_weight_init.ConvTranspose1d): + comfy_cast_weights = True + + class RMSNorm(disable_weight_init.RMSNorm): + comfy_cast_weights = True + + class Embedding(disable_weight_init.Embedding): + comfy_cast_weights = True + + +def fp8_linear(self, input): + dtype = self.weight.dtype + if dtype not in [torch.float8_e4m3fn]: + return None + + tensor_2d = False + if len(input.shape) == 2: + tensor_2d = True + input = input.unsqueeze(1) + + input_shape = input.shape + input_dtype = input.dtype + if len(input.shape) == 3: + w, bias = cast_bias_weight(self, input, dtype=dtype, bias_dtype=input_dtype) + w = w.t() + + scale_weight = self.scale_weight + scale_input = self.scale_input + if scale_weight is None: + scale_weight = torch.ones((), device=input.device, dtype=torch.float32) + else: + scale_weight = scale_weight.to(input.device) + + if scale_input is None: + scale_input = torch.ones((), device=input.device, dtype=torch.float32) + input = torch.clamp(input, min=-448, max=448, out=input) + input = input.reshape(-1, input_shape[2]).to(dtype).contiguous() + else: + scale_input = scale_input.to(input.device) + input = (input * (1.0 / scale_input).to(input_dtype)).reshape(-1, input_shape[2]).to(dtype).contiguous() + + if bias is not None: + o = torch._scaled_mm(input, w, out_dtype=input_dtype, bias=bias, scale_a=scale_input, scale_b=scale_weight) + else: + o = torch._scaled_mm(input, w, out_dtype=input_dtype, scale_a=scale_input, scale_b=scale_weight) + + if isinstance(o, tuple): + o = o[0] + + if tensor_2d: + return o.reshape(input_shape[0], -1) + + return o.reshape((-1, input_shape[1], self.weight.shape[0])) + + return None + +class fp8_ops(manual_cast): + class Linear(manual_cast.Linear): + def reset_parameters(self): + self.scale_weight = None + self.scale_input = None + return None + + def forward_comfy_cast_weights(self, input): + try: + out = fp8_linear(self, input) + if out is not None: + return out + except Exception as e: + logging.info("Exception during fp8 op: {}".format(e)) + + weight, bias = cast_bias_weight(self, input) + return torch.nn.functional.linear(input, weight, bias) + +def scaled_fp8_ops(fp8_matrix_mult=False, scale_input=False, override_dtype=None): + logging.info("Using scaled fp8: fp8 matrix mult: {}, scale input: {}".format(fp8_matrix_mult, scale_input)) + class scaled_fp8_op(manual_cast): + class Linear(manual_cast.Linear): + def __init__(self, *args, **kwargs): + if override_dtype is not None: + kwargs['dtype'] = override_dtype + super().__init__(*args, **kwargs) + + def reset_parameters(self): + if not hasattr(self, 'scale_weight'): + self.scale_weight = torch.nn.parameter.Parameter(data=torch.ones((), device=self.weight.device, dtype=torch.float32), requires_grad=False) + + if not scale_input: + self.scale_input = None + + if not hasattr(self, 'scale_input'): + self.scale_input = torch.nn.parameter.Parameter(data=torch.ones((), device=self.weight.device, dtype=torch.float32), requires_grad=False) + return None + + def forward_comfy_cast_weights(self, input): + if fp8_matrix_mult: + out = fp8_linear(self, input) + if out is not None: + return out + + weight, bias = cast_bias_weight(self, input) + + if weight.numel() < input.numel(): #TODO: optimize + return torch.nn.functional.linear(input, weight * self.scale_weight.to(device=weight.device, dtype=weight.dtype), bias) + else: + return torch.nn.functional.linear(input * self.scale_weight.to(device=weight.device, dtype=weight.dtype), weight, bias) + + def convert_weight(self, weight, inplace=False, **kwargs): + if inplace: + weight *= self.scale_weight.to(device=weight.device, dtype=weight.dtype) + return weight + else: + return weight * self.scale_weight.to(device=weight.device, dtype=weight.dtype) + + def set_weight(self, weight, inplace_update=False, seed=None, **kwargs): + weight = comfy.float.stochastic_rounding(weight / self.scale_weight.to(device=weight.device, dtype=weight.dtype), self.weight.dtype, seed=seed) + if inplace_update: + self.weight.data.copy_(weight) + else: + self.weight = torch.nn.Parameter(weight, requires_grad=False) + + return scaled_fp8_op + +CUBLAS_IS_AVAILABLE = False +try: + from cublas_ops import CublasLinear + CUBLAS_IS_AVAILABLE = True +except ImportError: + pass + +if CUBLAS_IS_AVAILABLE: + class cublas_ops(disable_weight_init): + class Linear(CublasLinear, disable_weight_init.Linear): + def reset_parameters(self): + return None + + def forward_comfy_cast_weights(self, input): + return super().forward(input) + + def forward(self, *args, **kwargs): + return super().forward(*args, **kwargs) + +def pick_operations(weight_dtype, compute_dtype, load_device=None, disable_fast_fp8=False, fp8_optimizations=False, scaled_fp8=None): + fp8_compute = comfy.model_management.supports_fp8_compute(load_device) + if scaled_fp8 is not None: + return scaled_fp8_ops(fp8_matrix_mult=fp8_compute and fp8_optimizations, scale_input=fp8_optimizations, override_dtype=scaled_fp8) + + if ( + fp8_compute and + (fp8_optimizations or PerformanceFeature.Fp8MatrixMultiplication in args.fast) and + not disable_fast_fp8 + ): + return fp8_ops + + if ( + PerformanceFeature.CublasOps in args.fast and + CUBLAS_IS_AVAILABLE and + weight_dtype == torch.float16 and + (compute_dtype == torch.float16 or compute_dtype is None) + ): + logging.info("Using cublas ops") + return cublas_ops + + if compute_dtype is None or weight_dtype == compute_dtype: + return disable_weight_init + + return manual_cast diff --git a/comfy/options.py b/comfy/options.py new file mode 100644 index 0000000000000000000000000000000000000000..f7f8af41ebd8b9669ef0ef21827ea6195bcb4752 --- /dev/null +++ b/comfy/options.py @@ -0,0 +1,6 @@ + +args_parsing = False + +def enable_args_parsing(enable=True): + global args_parsing + args_parsing = enable diff --git a/comfy/patcher_extension.py b/comfy/patcher_extension.py new file mode 100644 index 0000000000000000000000000000000000000000..46cc7b2a8858f3842c3fcf8711b0346f76e75e06 --- /dev/null +++ b/comfy/patcher_extension.py @@ -0,0 +1,158 @@ +from __future__ import annotations +from typing import Callable + +class CallbacksMP: + ON_CLONE = "on_clone" + ON_LOAD = "on_load_after" + ON_DETACH = "on_detach_after" + ON_CLEANUP = "on_cleanup" + ON_PRE_RUN = "on_pre_run" + ON_PREPARE_STATE = "on_prepare_state" + ON_APPLY_HOOKS = "on_apply_hooks" + ON_REGISTER_ALL_HOOK_PATCHES = "on_register_all_hook_patches" + ON_INJECT_MODEL = "on_inject_model" + ON_EJECT_MODEL = "on_eject_model" + + # callbacks dict is in the format: + # {"call_type": {"key": [Callable1, Callable2, ...]} } + @classmethod + def init_callbacks(cls) -> dict[str, dict[str, list[Callable]]]: + return {} + +def add_callback(call_type: str, callback: Callable, transformer_options: dict, is_model_options=False): + add_callback_with_key(call_type, None, callback, transformer_options, is_model_options) + +def add_callback_with_key(call_type: str, key: str, callback: Callable, transformer_options: dict, is_model_options=False): + if is_model_options: + transformer_options = transformer_options.setdefault("transformer_options", {}) + callbacks: dict[str, dict[str, list]] = transformer_options.setdefault("callbacks", {}) + c = callbacks.setdefault(call_type, {}).setdefault(key, []) + c.append(callback) + +def get_callbacks_with_key(call_type: str, key: str, transformer_options: dict, is_model_options=False): + if is_model_options: + transformer_options = transformer_options.get("transformer_options", {}) + c_list = [] + callbacks: dict[str, list] = transformer_options.get("callbacks", {}) + c_list.extend(callbacks.get(call_type, {}).get(key, [])) + return c_list + +def get_all_callbacks(call_type: str, transformer_options: dict, is_model_options=False): + if is_model_options: + transformer_options = transformer_options.get("transformer_options", {}) + c_list = [] + callbacks: dict[str, list] = transformer_options.get("callbacks", {}) + for c in callbacks.get(call_type, {}).values(): + c_list.extend(c) + return c_list + +class WrappersMP: + OUTER_SAMPLE = "outer_sample" + PREPARE_SAMPLING = "prepare_sampling" + SAMPLER_SAMPLE = "sampler_sample" + PREDICT_NOISE = "predict_noise" + CALC_COND_BATCH = "calc_cond_batch" + APPLY_MODEL = "apply_model" + DIFFUSION_MODEL = "diffusion_model" + + # wrappers dict is in the format: + # {"wrapper_type": {"key": [Callable1, Callable2, ...]} } + @classmethod + def init_wrappers(cls) -> dict[str, dict[str, list[Callable]]]: + return {} + +def add_wrapper(wrapper_type: str, wrapper: Callable, transformer_options: dict, is_model_options=False): + add_wrapper_with_key(wrapper_type, None, wrapper, transformer_options, is_model_options) + +def add_wrapper_with_key(wrapper_type: str, key: str, wrapper: Callable, transformer_options: dict, is_model_options=False): + if is_model_options: + transformer_options = transformer_options.setdefault("transformer_options", {}) + wrappers: dict[str, dict[str, list]] = transformer_options.setdefault("wrappers", {}) + w = wrappers.setdefault(wrapper_type, {}).setdefault(key, []) + w.append(wrapper) + +def get_wrappers_with_key(wrapper_type: str, key: str, transformer_options: dict, is_model_options=False): + if is_model_options: + transformer_options = transformer_options.get("transformer_options", {}) + w_list = [] + wrappers: dict[str, list] = transformer_options.get("wrappers", {}) + w_list.extend(wrappers.get(wrapper_type, {}).get(key, [])) + return w_list + +def get_all_wrappers(wrapper_type: str, transformer_options: dict, is_model_options=False): + if is_model_options: + transformer_options = transformer_options.get("transformer_options", {}) + w_list = [] + wrappers: dict[str, list] = transformer_options.get("wrappers", {}) + for w in wrappers.get(wrapper_type, {}).values(): + w_list.extend(w) + return w_list + +class WrapperExecutor: + """Handles call stack of wrappers around a function in an ordered manner.""" + def __init__(self, original: Callable, class_obj: object, wrappers: list[Callable], idx: int): + # NOTE: class_obj exists so that wrappers surrounding a class method can access + # the class instance at runtime via executor.class_obj + self.original = original + self.class_obj = class_obj + self.wrappers = wrappers.copy() + self.idx = idx + self.is_last = idx == len(wrappers) + + def __call__(self, *args, **kwargs): + """Calls the next wrapper or original function, whichever is appropriate.""" + new_executor = self._create_next_executor() + return new_executor.execute(*args, **kwargs) + + def execute(self, *args, **kwargs): + """Used to initiate executor internally - DO NOT use this if you received executor in wrapper.""" + args = list(args) + kwargs = dict(kwargs) + if self.is_last: + return self.original(*args, **kwargs) + return self.wrappers[self.idx](self, *args, **kwargs) + + def _create_next_executor(self) -> 'WrapperExecutor': + new_idx = self.idx + 1 + if new_idx > len(self.wrappers): + raise Exception("Wrapper idx exceeded available wrappers; something went very wrong.") + if self.class_obj is None: + return WrapperExecutor.new_executor(self.original, self.wrappers, new_idx) + return WrapperExecutor.new_class_executor(self.original, self.class_obj, self.wrappers, new_idx) + + @classmethod + def new_executor(cls, original: Callable, wrappers: list[Callable], idx=0): + return cls(original, class_obj=None, wrappers=wrappers, idx=idx) + + @classmethod + def new_class_executor(cls, original: Callable, class_obj: object, wrappers: list[Callable], idx=0): + return cls(original, class_obj, wrappers, idx=idx) + +class PatcherInjection: + def __init__(self, inject: Callable, eject: Callable): + self.inject = inject + self.eject = eject + +def copy_nested_dicts(input_dict: dict): + new_dict = input_dict.copy() + for key, value in input_dict.items(): + if isinstance(value, dict): + new_dict[key] = copy_nested_dicts(value) + elif isinstance(value, list): + new_dict[key] = value.copy() + return new_dict + +def merge_nested_dicts(dict1: dict, dict2: dict, copy_dict1=True): + if copy_dict1: + merged_dict = copy_nested_dicts(dict1) + else: + merged_dict = dict1 + for key, value in dict2.items(): + if isinstance(value, dict): + curr_value = merged_dict.setdefault(key, {}) + merged_dict[key] = merge_nested_dicts(value, curr_value) + elif isinstance(value, list): + merged_dict.setdefault(key, []).extend(value) + else: + merged_dict[key] = value + return merged_dict diff --git a/comfy/pixel_space_convert.py b/comfy/pixel_space_convert.py new file mode 100644 index 0000000000000000000000000000000000000000..049bbcfb42d273108c12cd7856ca46273ceca1cd --- /dev/null +++ b/comfy/pixel_space_convert.py @@ -0,0 +1,16 @@ +import torch + + +# "Fake" VAE that converts from IMAGE B, H, W, C and values on the scale of 0..1 +# to LATENT B, C, H, W and values on the scale of -1..1. +class PixelspaceConversionVAE(torch.nn.Module): + def __init__(self): + super().__init__() + self.pixel_space_vae = torch.nn.Parameter(torch.tensor(1.0)) + + def encode(self, pixels: torch.Tensor, *_args, **_kwargs) -> torch.Tensor: + return pixels + + def decode(self, samples: torch.Tensor, *_args, **_kwargs) -> torch.Tensor: + return samples + diff --git a/comfy/rmsnorm.py b/comfy/rmsnorm.py new file mode 100644 index 0000000000000000000000000000000000000000..555542a46b54b9821b394374147d7fc4f9bc74c1 --- /dev/null +++ b/comfy/rmsnorm.py @@ -0,0 +1,57 @@ +import torch +import comfy.model_management +import numbers +import logging + +RMSNorm = None + +try: + rms_norm_torch = torch.nn.functional.rms_norm + RMSNorm = torch.nn.RMSNorm +except: + rms_norm_torch = None + logging.warning("Please update pytorch to use native RMSNorm") + + +def rms_norm(x, weight=None, eps=1e-6): + if rms_norm_torch is not None and not (torch.jit.is_tracing() or torch.jit.is_scripting()): + if weight is None: + return rms_norm_torch(x, (x.shape[-1],), eps=eps) + else: + return rms_norm_torch(x, weight.shape, weight=comfy.model_management.cast_to(weight, dtype=x.dtype, device=x.device), eps=eps) + else: + r = x * torch.rsqrt(torch.mean(x**2, dim=-1, keepdim=True) + eps) + if weight is None: + return r + else: + return r * comfy.model_management.cast_to(weight, dtype=x.dtype, device=x.device) + + +if RMSNorm is None: + class RMSNorm(torch.nn.Module): + def __init__( + self, + normalized_shape, + eps=1e-6, + elementwise_affine=True, + device=None, + dtype=None, + ): + factory_kwargs = {"device": device, "dtype": dtype} + super().__init__() + if isinstance(normalized_shape, numbers.Integral): + # mypy error: incompatible types in assignment + normalized_shape = (normalized_shape,) # type: ignore[assignment] + self.normalized_shape = tuple(normalized_shape) # type: ignore[arg-type] + self.eps = eps + self.elementwise_affine = elementwise_affine + if self.elementwise_affine: + self.weight = torch.nn.Parameter( + torch.empty(self.normalized_shape, **factory_kwargs) + ) + else: + self.register_parameter("weight", None) + self.bias = None + + def forward(self, x): + return rms_norm(x, self.weight, self.eps) diff --git a/comfy/sample.py b/comfy/sample.py new file mode 100644 index 0000000000000000000000000000000000000000..be5a7e246fdf6168cd74d1bb1b550c6852a83212 --- /dev/null +++ b/comfy/sample.py @@ -0,0 +1,52 @@ +import torch +import comfy.model_management +import comfy.samplers +import comfy.utils +import numpy as np +import logging + +def prepare_noise(latent_image, seed, noise_inds=None): + """ + creates random noise given a latent image and a seed. + optional arg skip can be used to skip and discard x number of noise generations for a given seed + """ + generator = torch.manual_seed(seed) + if noise_inds is None: + return torch.randn(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, generator=generator, device="cpu") + + unique_inds, inverse = np.unique(noise_inds, return_inverse=True) + noises = [] + for i in range(unique_inds[-1]+1): + noise = torch.randn([1] + list(latent_image.size())[1:], dtype=latent_image.dtype, layout=latent_image.layout, generator=generator, device="cpu") + if i in unique_inds: + noises.append(noise) + noises = [noises[i] for i in inverse] + noises = torch.cat(noises, axis=0) + return noises + +def fix_empty_latent_channels(model, latent_image): + latent_format = model.get_model_object("latent_format") #Resize the empty latent image so it has the right number of channels + if latent_format.latent_channels != latent_image.shape[1] and torch.count_nonzero(latent_image) == 0: + latent_image = comfy.utils.repeat_to_batch_size(latent_image, latent_format.latent_channels, dim=1) + if latent_format.latent_dimensions == 3 and latent_image.ndim == 4: + latent_image = latent_image.unsqueeze(2) + return latent_image + +def prepare_sampling(model, noise_shape, positive, negative, noise_mask): + logging.warning("Warning: comfy.sample.prepare_sampling isn't used anymore and can be removed") + return model, positive, negative, noise_mask, [] + +def cleanup_additional_models(models): + logging.warning("Warning: comfy.sample.cleanup_additional_models isn't used anymore and can be removed") + +def sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False, noise_mask=None, sigmas=None, callback=None, disable_pbar=False, seed=None): + sampler = comfy.samplers.KSampler(model, steps=steps, device=model.load_device, sampler=sampler_name, scheduler=scheduler, denoise=denoise, model_options=model.model_options) + + samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) + samples = samples.to(comfy.model_management.intermediate_device()) + return samples + +def sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=None, callback=None, disable_pbar=False, seed=None): + samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) + samples = samples.to(comfy.model_management.intermediate_device()) + return samples diff --git a/comfy/sampler_helpers.py b/comfy/sampler_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..e46971afb7785e40d02ed64ff6647c329f97cf5e --- /dev/null +++ b/comfy/sampler_helpers.py @@ -0,0 +1,184 @@ +from __future__ import annotations +import uuid +import math +import collections +import comfy.model_management +import comfy.conds +import comfy.utils +import comfy.hooks +import comfy.patcher_extension +from typing import TYPE_CHECKING +if TYPE_CHECKING: + from comfy.model_patcher import ModelPatcher + from comfy.model_base import BaseModel + from comfy.controlnet import ControlBase + +def prepare_mask(noise_mask, shape, device): + return comfy.utils.reshape_mask(noise_mask, shape).to(device) + +def get_models_from_cond(cond, model_type): + models = [] + for c in cond: + if model_type in c: + if isinstance(c[model_type], list): + models += c[model_type] + else: + models += [c[model_type]] + return models + +def get_hooks_from_cond(cond, full_hooks: comfy.hooks.HookGroup): + # get hooks from conds, and collect cnets so they can be checked for extra_hooks + cnets: list[ControlBase] = [] + for c in cond: + if 'hooks' in c: + for hook in c['hooks'].hooks: + full_hooks.add(hook) + if 'control' in c: + cnets.append(c['control']) + + def get_extra_hooks_from_cnet(cnet: ControlBase, _list: list): + if cnet.extra_hooks is not None: + _list.append(cnet.extra_hooks) + if cnet.previous_controlnet is None: + return _list + return get_extra_hooks_from_cnet(cnet.previous_controlnet, _list) + + hooks_list = [] + cnets = set(cnets) + for base_cnet in cnets: + get_extra_hooks_from_cnet(base_cnet, hooks_list) + extra_hooks = comfy.hooks.HookGroup.combine_all_hooks(hooks_list) + if extra_hooks is not None: + for hook in extra_hooks.hooks: + full_hooks.add(hook) + + return full_hooks + +def convert_cond(cond): + out = [] + for c in cond: + temp = c[1].copy() + model_conds = temp.get("model_conds", {}) + if c[0] is not None: + temp["cross_attn"] = c[0] + temp["model_conds"] = model_conds + temp["uuid"] = uuid.uuid4() + out.append(temp) + return out + +def get_additional_models(conds, dtype): + """loads additional models in conditioning""" + cnets: list[ControlBase] = [] + gligen = [] + add_models = [] + + for k in conds: + cnets += get_models_from_cond(conds[k], "control") + gligen += get_models_from_cond(conds[k], "gligen") + add_models += get_models_from_cond(conds[k], "additional_models") + + control_nets = set(cnets) + + inference_memory = 0 + control_models = [] + for m in control_nets: + control_models += m.get_models() + inference_memory += m.inference_memory_requirements(dtype) + + gligen = [x[1] for x in gligen] + models = control_models + gligen + add_models + + return models, inference_memory + +def get_additional_models_from_model_options(model_options: dict[str]=None): + """loads additional models from registered AddModels hooks""" + models = [] + if model_options is not None and "registered_hooks" in model_options: + registered: comfy.hooks.HookGroup = model_options["registered_hooks"] + for hook in registered.get_type(comfy.hooks.EnumHookType.AdditionalModels): + hook: comfy.hooks.AdditionalModelsHook + models.extend(hook.models) + return models + +def cleanup_additional_models(models): + """cleanup additional models that were loaded""" + for m in models: + if hasattr(m, 'cleanup'): + m.cleanup() + +def estimate_memory(model, noise_shape, conds): + cond_shapes = collections.defaultdict(list) + cond_shapes_min = {} + for _, cs in conds.items(): + for cond in cs: + for k, v in model.model.extra_conds_shapes(**cond).items(): + cond_shapes[k].append(v) + if cond_shapes_min.get(k, None) is None: + cond_shapes_min[k] = [v] + elif math.prod(v) > math.prod(cond_shapes_min[k][0]): + cond_shapes_min[k] = [v] + + memory_required = model.model.memory_required([noise_shape[0] * 2] + list(noise_shape[1:]), cond_shapes=cond_shapes) + minimum_memory_required = model.model.memory_required([noise_shape[0]] + list(noise_shape[1:]), cond_shapes=cond_shapes_min) + return memory_required, minimum_memory_required + +def prepare_sampling(model: ModelPatcher, noise_shape, conds, model_options=None): + executor = comfy.patcher_extension.WrapperExecutor.new_executor( + _prepare_sampling, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.PREPARE_SAMPLING, model_options, is_model_options=True) + ) + return executor.execute(model, noise_shape, conds, model_options=model_options) + +def _prepare_sampling(model: ModelPatcher, noise_shape, conds, model_options=None): + real_model: BaseModel = None + models, inference_memory = get_additional_models(conds, model.model_dtype()) + models += get_additional_models_from_model_options(model_options) + models += model.get_nested_additional_models() # TODO: does this require inference_memory update? + memory_required, minimum_memory_required = estimate_memory(model, noise_shape, conds) + comfy.model_management.load_models_gpu([model] + models, memory_required=memory_required + inference_memory, minimum_memory_required=minimum_memory_required + inference_memory) + real_model = model.model + + return real_model, conds, models + +def cleanup_models(conds, models): + cleanup_additional_models(models) + + control_cleanup = [] + for k in conds: + control_cleanup += get_models_from_cond(conds[k], "control") + + cleanup_additional_models(set(control_cleanup)) + +def prepare_model_patcher(model: ModelPatcher, conds, model_options: dict): + ''' + Registers hooks from conds. + ''' + # check for hooks in conds - if not registered, see if can be applied + hooks = comfy.hooks.HookGroup() + for k in conds: + get_hooks_from_cond(conds[k], hooks) + # add wrappers and callbacks from ModelPatcher to transformer_options + comfy.patcher_extension.merge_nested_dicts(model_options["transformer_options"].setdefault("wrappers", {}), model.wrappers, copy_dict1=False) + comfy.patcher_extension.merge_nested_dicts(model_options["transformer_options"].setdefault("callbacks", {}), model.callbacks, copy_dict1=False) + # begin registering hooks + registered = comfy.hooks.HookGroup() + target_dict = comfy.hooks.create_target_dict(comfy.hooks.EnumWeightTarget.Model) + # handle all TransformerOptionsHooks + for hook in hooks.get_type(comfy.hooks.EnumHookType.TransformerOptions): + hook: comfy.hooks.TransformerOptionsHook + hook.add_hook_patches(model, model_options, target_dict, registered) + # handle all AddModelsHooks + for hook in hooks.get_type(comfy.hooks.EnumHookType.AdditionalModels): + hook: comfy.hooks.AdditionalModelsHook + hook.add_hook_patches(model, model_options, target_dict, registered) + # handle all WeightHooks by registering on ModelPatcher + model.register_all_hook_patches(hooks, target_dict, model_options, registered) + # add registered_hooks onto model_options for further reference + if len(registered) > 0: + model_options["registered_hooks"] = registered + # merge original wrappers and callbacks with hooked wrappers and callbacks + to_load_options: dict[str] = model_options.setdefault("to_load_options", {}) + for wc_name in ["wrappers", "callbacks"]: + comfy.patcher_extension.merge_nested_dicts(to_load_options.setdefault(wc_name, {}), model_options["transformer_options"][wc_name], + copy_dict1=False) + return to_load_options diff --git a/comfy/samplers.py b/comfy/samplers.py new file mode 100644 index 0000000000000000000000000000000000000000..b3202cec6f2c6b7a0020b3ec43ef3817062fe14a --- /dev/null +++ b/comfy/samplers.py @@ -0,0 +1,1161 @@ +from __future__ import annotations +from .k_diffusion import sampling as k_diffusion_sampling +from .extra_samplers import uni_pc +from typing import TYPE_CHECKING, Callable, NamedTuple +if TYPE_CHECKING: + from comfy.model_patcher import ModelPatcher + from comfy.model_base import BaseModel + from comfy.controlnet import ControlBase +import torch +from functools import partial +import collections +from comfy import model_management +import math +import logging +import comfy.sampler_helpers +import comfy.model_patcher +import comfy.patcher_extension +import comfy.hooks +import comfy.context_windows +import comfy.utils +import scipy.stats +import numpy + + +def add_area_dims(area, num_dims): + while (len(area) // 2) < num_dims: + area = [2147483648] + area[:len(area) // 2] + [0] + area[len(area) // 2:] + return area + +def get_area_and_mult(conds, x_in, timestep_in): + dims = tuple(x_in.shape[2:]) + area = None + strength = 1.0 + + if 'timestep_start' in conds: + timestep_start = conds['timestep_start'] + if timestep_in[0] > timestep_start: + return None + if 'timestep_end' in conds: + timestep_end = conds['timestep_end'] + if timestep_in[0] < timestep_end: + return None + if 'area' in conds: + area = list(conds['area']) + area = add_area_dims(area, len(dims)) + if (len(area) // 2) > len(dims): + area = area[:len(dims)] + area[len(area) // 2:(len(area) // 2) + len(dims)] + + if 'strength' in conds: + strength = conds['strength'] + + input_x = x_in + if area is not None: + for i in range(len(dims)): + area[i] = min(input_x.shape[i + 2] - area[len(dims) + i], area[i]) + input_x = input_x.narrow(i + 2, area[len(dims) + i], area[i]) + + if 'mask' in conds: + # Scale the mask to the size of the input + # The mask should have been resized as we began the sampling process + mask_strength = 1.0 + if "mask_strength" in conds: + mask_strength = conds["mask_strength"] + mask = conds['mask'] + # assert (mask.shape[1:] == x_in.shape[2:]) + + mask = mask[:input_x.shape[0]] + if area is not None: + for i in range(len(dims)): + mask = mask.narrow(i + 1, area[len(dims) + i], area[i]) + + mask = mask * mask_strength + mask = mask.unsqueeze(1).repeat((input_x.shape[0] // mask.shape[0], input_x.shape[1]) + (1, ) * (mask.ndim - 1)) + else: + mask = torch.ones_like(input_x) + mult = mask * strength + + if 'mask' not in conds and area is not None: + fuzz = 8 + for i in range(len(dims)): + rr = min(fuzz, mult.shape[2 + i] // 4) + if area[len(dims) + i] != 0: + for t in range(rr): + m = mult.narrow(i + 2, t, 1) + m *= ((1.0 / rr) * (t + 1)) + if (area[i] + area[len(dims) + i]) < x_in.shape[i + 2]: + for t in range(rr): + m = mult.narrow(i + 2, area[i] - 1 - t, 1) + m *= ((1.0 / rr) * (t + 1)) + + conditioning = {} + model_conds = conds["model_conds"] + for c in model_conds: + conditioning[c] = model_conds[c].process_cond(batch_size=x_in.shape[0], area=area) + + hooks = conds.get('hooks', None) + control = conds.get('control', None) + + patches = None + if 'gligen' in conds: + gligen = conds['gligen'] + patches = {} + gligen_type = gligen[0] + gligen_model = gligen[1] + if gligen_type == "position": + gligen_patch = gligen_model.model.set_position(input_x.shape, gligen[2], input_x.device) + else: + gligen_patch = gligen_model.model.set_empty(input_x.shape, input_x.device) + + patches['middle_patch'] = [gligen_patch] + + cond_obj = collections.namedtuple('cond_obj', ['input_x', 'mult', 'conditioning', 'area', 'control', 'patches', 'uuid', 'hooks']) + return cond_obj(input_x, mult, conditioning, area, control, patches, conds['uuid'], hooks) + +def cond_equal_size(c1, c2): + if c1 is c2: + return True + if c1.keys() != c2.keys(): + return False + for k in c1: + if not c1[k].can_concat(c2[k]): + return False + return True + +def can_concat_cond(c1, c2): + if c1.input_x.shape != c2.input_x.shape: + return False + + def objects_concatable(obj1, obj2): + if (obj1 is None) != (obj2 is None): + return False + if obj1 is not None: + if obj1 is not obj2: + return False + return True + + if not objects_concatable(c1.control, c2.control): + return False + + if not objects_concatable(c1.patches, c2.patches): + return False + + return cond_equal_size(c1.conditioning, c2.conditioning) + +def cond_cat(c_list): + temp = {} + for x in c_list: + for k in x: + cur = temp.get(k, []) + cur.append(x[k]) + temp[k] = cur + + out = {} + for k in temp: + conds = temp[k] + out[k] = conds[0].concat(conds[1:]) + + return out + +def finalize_default_conds(model: 'BaseModel', hooked_to_run: dict[comfy.hooks.HookGroup,list[tuple[tuple,int]]], default_conds: list[list[dict]], x_in, timestep, model_options): + # need to figure out remaining unmasked area for conds + default_mults = [] + for _ in default_conds: + default_mults.append(torch.ones_like(x_in)) + # look through each finalized cond in hooked_to_run for 'mult' and subtract it from each cond + for lora_hooks, to_run in hooked_to_run.items(): + for cond_obj, i in to_run: + # if no default_cond for cond_type, do nothing + if len(default_conds[i]) == 0: + continue + area: list[int] = cond_obj.area + if area is not None: + curr_default_mult: torch.Tensor = default_mults[i] + dims = len(area) // 2 + for i in range(dims): + curr_default_mult = curr_default_mult.narrow(i + 2, area[i + dims], area[i]) + curr_default_mult -= cond_obj.mult + else: + default_mults[i] -= cond_obj.mult + # for each default_mult, ReLU to make negatives=0, and then check for any nonzeros + for i, mult in enumerate(default_mults): + # if no default_cond for cond type, do nothing + if len(default_conds[i]) == 0: + continue + torch.nn.functional.relu(mult, inplace=True) + # if mult is all zeros, then don't add default_cond + if torch.max(mult) == 0.0: + continue + + cond = default_conds[i] + for x in cond: + # do get_area_and_mult to get all the expected values + p = get_area_and_mult(x, x_in, timestep) + if p is None: + continue + # replace p's mult with calculated mult + p = p._replace(mult=mult) + if p.hooks is not None: + model.current_patcher.prepare_hook_patches_current_keyframe(timestep, p.hooks, model_options) + hooked_to_run.setdefault(p.hooks, list()) + hooked_to_run[p.hooks] += [(p, i)] + +def calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep, model_options: dict[str]): + handler: comfy.context_windows.ContextHandlerABC = model_options.get("context_handler", None) + if handler is None or not handler.should_use_context(model, conds, x_in, timestep, model_options): + return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options) + return handler.execute(_calc_cond_batch_outer, model, conds, x_in, timestep, model_options) + +def _calc_cond_batch_outer(model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep, model_options): + executor = comfy.patcher_extension.WrapperExecutor.new_executor( + _calc_cond_batch, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.CALC_COND_BATCH, model_options, is_model_options=True) + ) + return executor.execute(model, conds, x_in, timestep, model_options) + +def _calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tensor, timestep, model_options): + out_conds = [] + out_counts = [] + # separate conds by matching hooks + hooked_to_run: dict[comfy.hooks.HookGroup,list[tuple[tuple,int]]] = {} + default_conds = [] + has_default_conds = False + + for i in range(len(conds)): + out_conds.append(torch.zeros_like(x_in)) + out_counts.append(torch.ones_like(x_in) * 1e-37) + + cond = conds[i] + default_c = [] + if cond is not None: + for x in cond: + if 'default' in x: + default_c.append(x) + has_default_conds = True + continue + p = get_area_and_mult(x, x_in, timestep) + if p is None: + continue + if p.hooks is not None: + model.current_patcher.prepare_hook_patches_current_keyframe(timestep, p.hooks, model_options) + hooked_to_run.setdefault(p.hooks, list()) + hooked_to_run[p.hooks] += [(p, i)] + default_conds.append(default_c) + + if has_default_conds: + finalize_default_conds(model, hooked_to_run, default_conds, x_in, timestep, model_options) + + model.current_patcher.prepare_state(timestep) + + # run every hooked_to_run separately + for hooks, to_run in hooked_to_run.items(): + while len(to_run) > 0: + first = to_run[0] + first_shape = first[0][0].shape + to_batch_temp = [] + for x in range(len(to_run)): + if can_concat_cond(to_run[x][0], first[0]): + to_batch_temp += [x] + + to_batch_temp.reverse() + to_batch = to_batch_temp[:1] + + free_memory = model_management.get_free_memory(x_in.device) + for i in range(1, len(to_batch_temp) + 1): + batch_amount = to_batch_temp[:len(to_batch_temp)//i] + input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:] + cond_shapes = collections.defaultdict(list) + for tt in batch_amount: + cond = {k: v.size() for k, v in to_run[tt][0].conditioning.items()} + for k, v in to_run[tt][0].conditioning.items(): + cond_shapes[k].append(v.size()) + + if model.memory_required(input_shape, cond_shapes=cond_shapes) * 1.5 < free_memory: + to_batch = batch_amount + break + + input_x = [] + mult = [] + c = [] + cond_or_uncond = [] + uuids = [] + area = [] + control = None + patches = None + for x in to_batch: + o = to_run.pop(x) + p = o[0] + input_x.append(p.input_x) + mult.append(p.mult) + c.append(p.conditioning) + area.append(p.area) + cond_or_uncond.append(o[1]) + uuids.append(p.uuid) + control = p.control + patches = p.patches + + batch_chunks = len(cond_or_uncond) + input_x = torch.cat(input_x) + c = cond_cat(c) + timestep_ = torch.cat([timestep] * batch_chunks) + + transformer_options = model.current_patcher.apply_hooks(hooks=hooks) + if 'transformer_options' in model_options: + transformer_options = comfy.patcher_extension.merge_nested_dicts(transformer_options, + model_options['transformer_options'], + copy_dict1=False) + + if patches is not None: + # TODO: replace with merge_nested_dicts function + if "patches" in transformer_options: + cur_patches = transformer_options["patches"].copy() + for p in patches: + if p in cur_patches: + cur_patches[p] = cur_patches[p] + patches[p] + else: + cur_patches[p] = patches[p] + transformer_options["patches"] = cur_patches + else: + transformer_options["patches"] = patches + + transformer_options["cond_or_uncond"] = cond_or_uncond[:] + transformer_options["uuids"] = uuids[:] + transformer_options["sigmas"] = timestep + + c['transformer_options'] = transformer_options + + if control is not None: + c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond), transformer_options) + + if 'model_function_wrapper' in model_options: + output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks) + else: + output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks) + + for o in range(batch_chunks): + cond_index = cond_or_uncond[o] + a = area[o] + if a is None: + out_conds[cond_index] += output[o] * mult[o] + out_counts[cond_index] += mult[o] + else: + out_c = out_conds[cond_index] + out_cts = out_counts[cond_index] + dims = len(a) // 2 + for i in range(dims): + out_c = out_c.narrow(i + 2, a[i + dims], a[i]) + out_cts = out_cts.narrow(i + 2, a[i + dims], a[i]) + out_c += output[o] * mult[o] + out_cts += mult[o] + + for i in range(len(out_conds)): + out_conds[i] /= out_counts[i] + + return out_conds + +def calc_cond_uncond_batch(model, cond, uncond, x_in, timestep, model_options): #TODO: remove + logging.warning("WARNING: The comfy.samplers.calc_cond_uncond_batch function is deprecated please use the calc_cond_batch one instead.") + return tuple(calc_cond_batch(model, [cond, uncond], x_in, timestep, model_options)) + +def cfg_function(model, cond_pred, uncond_pred, cond_scale, x, timestep, model_options={}, cond=None, uncond=None): + if "sampler_cfg_function" in model_options: + args = {"cond": x - cond_pred, "uncond": x - uncond_pred, "cond_scale": cond_scale, "timestep": timestep, "input": x, "sigma": timestep, + "cond_denoised": cond_pred, "uncond_denoised": uncond_pred, "model": model, "model_options": model_options} + cfg_result = x - model_options["sampler_cfg_function"](args) + else: + cfg_result = uncond_pred + (cond_pred - uncond_pred) * cond_scale + + for fn in model_options.get("sampler_post_cfg_function", []): + args = {"denoised": cfg_result, "cond": cond, "uncond": uncond, "cond_scale": cond_scale, "model": model, "uncond_denoised": uncond_pred, "cond_denoised": cond_pred, + "sigma": timestep, "model_options": model_options, "input": x} + cfg_result = fn(args) + + return cfg_result + +#The main sampling function shared by all the samplers +#Returns denoised +def sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options={}, seed=None): + if math.isclose(cond_scale, 1.0) and model_options.get("disable_cfg1_optimization", False) == False: + uncond_ = None + else: + uncond_ = uncond + + conds = [cond, uncond_] + if "sampler_calc_cond_batch_function" in model_options: + args = {"conds": conds, "input": x, "sigma": timestep, "model": model, "model_options": model_options} + out = model_options["sampler_calc_cond_batch_function"](args) + else: + out = calc_cond_batch(model, conds, x, timestep, model_options) + + for fn in model_options.get("sampler_pre_cfg_function", []): + args = {"conds":conds, "conds_out": out, "cond_scale": cond_scale, "timestep": timestep, + "input": x, "sigma": timestep, "model": model, "model_options": model_options} + out = fn(args) + + return cfg_function(model, out[0], out[1], cond_scale, x, timestep, model_options=model_options, cond=cond, uncond=uncond_) + + +class KSamplerX0Inpaint: + def __init__(self, model, sigmas): + self.inner_model = model + self.sigmas = sigmas + def __call__(self, x, sigma, denoise_mask, model_options={}, seed=None): + if denoise_mask is not None: + if "denoise_mask_function" in model_options: + denoise_mask = model_options["denoise_mask_function"](sigma, denoise_mask, extra_options={"model": self.inner_model, "sigmas": self.sigmas}) + latent_mask = 1. - denoise_mask + x = x * denoise_mask + self.inner_model.inner_model.scale_latent_inpaint(x=x, sigma=sigma, noise=self.noise, latent_image=self.latent_image) * latent_mask + out = self.inner_model(x, sigma, model_options=model_options, seed=seed) + if denoise_mask is not None: + out = out * denoise_mask + self.latent_image * latent_mask + return out + +def simple_scheduler(model_sampling, steps): + s = model_sampling + sigs = [] + ss = len(s.sigmas) / steps + for x in range(steps): + sigs += [float(s.sigmas[-(1 + int(x * ss))])] + sigs += [0.0] + return torch.FloatTensor(sigs) + +def ddim_scheduler(model_sampling, steps): + s = model_sampling + sigs = [] + x = 1 + if math.isclose(float(s.sigmas[x]), 0, abs_tol=0.00001): + steps += 1 + sigs = [] + else: + sigs = [0.0] + + ss = max(len(s.sigmas) // steps, 1) + while x < len(s.sigmas): + sigs += [float(s.sigmas[x])] + x += ss + sigs = sigs[::-1] + return torch.FloatTensor(sigs) + +def normal_scheduler(model_sampling, steps, sgm=False, floor=False): + s = model_sampling + start = s.timestep(s.sigma_max) + end = s.timestep(s.sigma_min) + + append_zero = True + if sgm: + timesteps = torch.linspace(start, end, steps + 1)[:-1] + else: + if math.isclose(float(s.sigma(end)), 0, abs_tol=0.00001): + steps += 1 + append_zero = False + timesteps = torch.linspace(start, end, steps) + + sigs = [] + for x in range(len(timesteps)): + ts = timesteps[x] + sigs.append(float(s.sigma(ts))) + + if append_zero: + sigs += [0.0] + + return torch.FloatTensor(sigs) + +# Implemented based on: https://arxiv.org/abs/2407.12173 +def beta_scheduler(model_sampling, steps, alpha=0.6, beta=0.6): + total_timesteps = (len(model_sampling.sigmas) - 1) + ts = 1 - numpy.linspace(0, 1, steps, endpoint=False) + ts = numpy.rint(scipy.stats.beta.ppf(ts, alpha, beta) * total_timesteps) + + sigs = [] + last_t = -1 + for t in ts: + if t != last_t: + sigs += [float(model_sampling.sigmas[int(t)])] + last_t = t + sigs += [0.0] + return torch.FloatTensor(sigs) + +# from: https://github.com/genmoai/models/blob/main/src/mochi_preview/infer.py#L41 +def linear_quadratic_schedule(model_sampling, steps, threshold_noise=0.025, linear_steps=None): + if steps == 1: + sigma_schedule = [1.0, 0.0] + else: + if linear_steps is None: + linear_steps = steps // 2 + linear_sigma_schedule = [i * threshold_noise / linear_steps for i in range(linear_steps)] + threshold_noise_step_diff = linear_steps - threshold_noise * steps + quadratic_steps = steps - linear_steps + quadratic_coef = threshold_noise_step_diff / (linear_steps * quadratic_steps ** 2) + linear_coef = threshold_noise / linear_steps - 2 * threshold_noise_step_diff / (quadratic_steps ** 2) + const = quadratic_coef * (linear_steps ** 2) + quadratic_sigma_schedule = [ + quadratic_coef * (i ** 2) + linear_coef * i + const + for i in range(linear_steps, steps) + ] + sigma_schedule = linear_sigma_schedule + quadratic_sigma_schedule + [1.0] + sigma_schedule = [1.0 - x for x in sigma_schedule] + return torch.FloatTensor(sigma_schedule) * model_sampling.sigma_max.cpu() + +# Referenced from https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15608 +def kl_optimal_scheduler(n: int, sigma_min: float, sigma_max: float) -> torch.Tensor: + adj_idxs = torch.arange(n, dtype=torch.float).div_(n - 1) + sigmas = adj_idxs.new_zeros(n + 1) + sigmas[:-1] = (adj_idxs * math.atan(sigma_min) + (1 - adj_idxs) * math.atan(sigma_max)).tan_() + return sigmas + +def get_mask_aabb(masks): + if masks.numel() == 0: + return torch.zeros((0, 4), device=masks.device, dtype=torch.int) + + b = masks.shape[0] + + bounding_boxes = torch.zeros((b, 4), device=masks.device, dtype=torch.int) + is_empty = torch.zeros((b), device=masks.device, dtype=torch.bool) + for i in range(b): + mask = masks[i] + if mask.numel() == 0: + continue + if torch.max(mask != 0) == False: + is_empty[i] = True + continue + y, x = torch.where(mask) + bounding_boxes[i, 0] = torch.min(x) + bounding_boxes[i, 1] = torch.min(y) + bounding_boxes[i, 2] = torch.max(x) + bounding_boxes[i, 3] = torch.max(y) + + return bounding_boxes, is_empty + +def resolve_areas_and_cond_masks_multidim(conditions, dims, device): + # We need to decide on an area outside the sampling loop in order to properly generate opposite areas of equal sizes. + # While we're doing this, we can also resolve the mask device and scaling for performance reasons + for i in range(len(conditions)): + c = conditions[i] + if 'area' in c: + area = c['area'] + if area[0] == "percentage": + modified = c.copy() + a = area[1:] + a_len = len(a) // 2 + area = () + for d in range(len(dims)): + area += (max(1, round(a[d] * dims[d])),) + for d in range(len(dims)): + area += (round(a[d + a_len] * dims[d]),) + + modified['area'] = area + c = modified + conditions[i] = c + + if 'mask' in c: + mask = c['mask'] + mask = mask.to(device=device) + modified = c.copy() + if len(mask.shape) == len(dims): + mask = mask.unsqueeze(0) + if mask.shape[1:] != dims: + if mask.ndim < 4: + mask = comfy.utils.common_upscale(mask.unsqueeze(1), dims[-1], dims[-2], 'bilinear', 'none').squeeze(1) + else: + mask = comfy.utils.common_upscale(mask, dims[-1], dims[-2], 'bilinear', 'none') + + if modified.get("set_area_to_bounds", False): #TODO: handle dim != 2 + bounds = torch.max(torch.abs(mask),dim=0).values.unsqueeze(0) + boxes, is_empty = get_mask_aabb(bounds) + if is_empty[0]: + # Use the minimum possible size for efficiency reasons. (Since the mask is all-0, this becomes a noop anyway) + modified['area'] = (8, 8, 0, 0) + else: + box = boxes[0] + H, W, Y, X = (box[3] - box[1] + 1, box[2] - box[0] + 1, box[1], box[0]) + H = max(8, H) + W = max(8, W) + area = (int(H), int(W), int(Y), int(X)) + modified['area'] = area + + modified['mask'] = mask + conditions[i] = modified + +def resolve_areas_and_cond_masks(conditions, h, w, device): + logging.warning("WARNING: The comfy.samplers.resolve_areas_and_cond_masks function is deprecated please use the resolve_areas_and_cond_masks_multidim one instead.") + return resolve_areas_and_cond_masks_multidim(conditions, [h, w], device) + +def create_cond_with_same_area_if_none(conds, c): + if 'area' not in c: + return + + def area_inside(a, area_cmp): + a = add_area_dims(a, len(area_cmp) // 2) + area_cmp = add_area_dims(area_cmp, len(a) // 2) + + a_l = len(a) // 2 + area_cmp_l = len(area_cmp) // 2 + for i in range(min(a_l, area_cmp_l)): + if a[a_l + i] < area_cmp[area_cmp_l + i]: + return False + for i in range(min(a_l, area_cmp_l)): + if (a[i] + a[a_l + i]) > (area_cmp[i] + area_cmp[area_cmp_l + i]): + return False + return True + + c_area = c['area'] + smallest = None + for x in conds: + if 'area' in x: + a = x['area'] + if area_inside(c_area, a): + if smallest is None: + smallest = x + elif 'area' not in smallest: + smallest = x + else: + if math.prod(smallest['area'][:len(smallest['area']) // 2]) > math.prod(a[:len(a) // 2]): + smallest = x + else: + if smallest is None: + smallest = x + if smallest is None: + return + if 'area' in smallest: + if smallest['area'] == c_area: + return + + out = c.copy() + out['model_conds'] = smallest['model_conds'].copy() #TODO: which fields should be copied? + conds += [out] + +def calculate_start_end_timesteps(model, conds): + s = model.model_sampling + for t in range(len(conds)): + x = conds[t] + + timestep_start = None + timestep_end = None + # handle clip hook schedule, if needed + if 'clip_start_percent' in x: + timestep_start = s.percent_to_sigma(max(x['clip_start_percent'], x.get('start_percent', 0.0))) + timestep_end = s.percent_to_sigma(min(x['clip_end_percent'], x.get('end_percent', 1.0))) + else: + if 'start_percent' in x: + timestep_start = s.percent_to_sigma(x['start_percent']) + if 'end_percent' in x: + timestep_end = s.percent_to_sigma(x['end_percent']) + + if (timestep_start is not None) or (timestep_end is not None): + n = x.copy() + if (timestep_start is not None): + n['timestep_start'] = timestep_start + if (timestep_end is not None): + n['timestep_end'] = timestep_end + conds[t] = n + +def pre_run_control(model, conds): + s = model.model_sampling + for t in range(len(conds)): + x = conds[t] + + percent_to_timestep_function = lambda a: s.percent_to_sigma(a) + if 'control' in x: + x['control'].pre_run(model, percent_to_timestep_function) + +def apply_empty_x_to_equal_area(conds, uncond, name, uncond_fill_func): + cond_cnets = [] + cond_other = [] + uncond_cnets = [] + uncond_other = [] + for t in range(len(conds)): + x = conds[t] + if 'area' not in x: + if name in x and x[name] is not None: + cond_cnets.append(x[name]) + else: + cond_other.append((x, t)) + for t in range(len(uncond)): + x = uncond[t] + if 'area' not in x: + if name in x and x[name] is not None: + uncond_cnets.append(x[name]) + else: + uncond_other.append((x, t)) + + if len(uncond_cnets) > 0: + return + + for x in range(len(cond_cnets)): + temp = uncond_other[x % len(uncond_other)] + o = temp[0] + if name in o and o[name] is not None: + n = o.copy() + n[name] = uncond_fill_func(cond_cnets, x) + uncond += [n] + else: + n = o.copy() + n[name] = uncond_fill_func(cond_cnets, x) + uncond[temp[1]] = n + +def encode_model_conds(model_function, conds, noise, device, prompt_type, **kwargs): + for t in range(len(conds)): + x = conds[t] + params = x.copy() + params["device"] = device + params["noise"] = noise + default_width = None + if len(noise.shape) >= 4: #TODO: 8 multiple should be set by the model + default_width = noise.shape[3] * 8 + params["width"] = params.get("width", default_width) + params["height"] = params.get("height", noise.shape[2] * 8) + params["prompt_type"] = params.get("prompt_type", prompt_type) + for k in kwargs: + if k not in params: + params[k] = kwargs[k] + + out = model_function(**params) + x = x.copy() + model_conds = x['model_conds'].copy() + for k in out: + model_conds[k] = out[k] + x['model_conds'] = model_conds + conds[t] = x + return conds + +class Sampler: + def sample(self): + pass + + def max_denoise(self, model_wrap, sigmas): + max_sigma = float(model_wrap.inner_model.model_sampling.sigma_max) + sigma = float(sigmas[0]) + return math.isclose(max_sigma, sigma, rel_tol=1e-05) or sigma > max_sigma + +KSAMPLER_NAMES = ["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2","dpm_2", "dpm_2_ancestral", + "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", + "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", + "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", + "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece"] + +class KSAMPLER(Sampler): + def __init__(self, sampler_function, extra_options={}, inpaint_options={}): + self.sampler_function = sampler_function + self.extra_options = extra_options + self.inpaint_options = inpaint_options + + def sample(self, model_wrap, sigmas, extra_args, callback, noise, latent_image=None, denoise_mask=None, disable_pbar=False): + extra_args["denoise_mask"] = denoise_mask + model_k = KSamplerX0Inpaint(model_wrap, sigmas) + model_k.latent_image = latent_image + if self.inpaint_options.get("random", False): #TODO: Should this be the default? + generator = torch.manual_seed(extra_args.get("seed", 41) + 1) + model_k.noise = torch.randn(noise.shape, generator=generator, device="cpu").to(noise.dtype).to(noise.device) + else: + model_k.noise = noise + + noise = model_wrap.inner_model.model_sampling.noise_scaling(sigmas[0], noise, latent_image, self.max_denoise(model_wrap, sigmas)) + + k_callback = None + total_steps = len(sigmas) - 1 + if callback is not None: + k_callback = lambda x: callback(x["i"], x["denoised"], x["x"], total_steps) + + samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) + samples = model_wrap.inner_model.model_sampling.inverse_noise_scaling(sigmas[-1], samples) + return samples + + +def ksampler(sampler_name, extra_options={}, inpaint_options={}): + if sampler_name == "dpm_fast": + def dpm_fast_function(model, noise, sigmas, extra_args, callback, disable): + if len(sigmas) <= 1: + return noise + + sigma_min = sigmas[-1] + if sigma_min == 0: + sigma_min = sigmas[-2] + total_steps = len(sigmas) - 1 + return k_diffusion_sampling.sample_dpm_fast(model, noise, sigma_min, sigmas[0], total_steps, extra_args=extra_args, callback=callback, disable=disable) + sampler_function = dpm_fast_function + elif sampler_name == "dpm_adaptive": + def dpm_adaptive_function(model, noise, sigmas, extra_args, callback, disable, **extra_options): + if len(sigmas) <= 1: + return noise + + sigma_min = sigmas[-1] + if sigma_min == 0: + sigma_min = sigmas[-2] + return k_diffusion_sampling.sample_dpm_adaptive(model, noise, sigma_min, sigmas[0], extra_args=extra_args, callback=callback, disable=disable, **extra_options) + sampler_function = dpm_adaptive_function + else: + sampler_function = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name)) + + return KSAMPLER(sampler_function, extra_options, inpaint_options) + + +def process_conds(model, noise, conds, device, latent_image=None, denoise_mask=None, seed=None): + for k in conds: + conds[k] = conds[k][:] + resolve_areas_and_cond_masks_multidim(conds[k], noise.shape[2:], device) + + for k in conds: + calculate_start_end_timesteps(model, conds[k]) + + if hasattr(model, 'extra_conds'): + for k in conds: + conds[k] = encode_model_conds(model.extra_conds, conds[k], noise, device, k, latent_image=latent_image, denoise_mask=denoise_mask, seed=seed) + + #make sure each cond area has an opposite one with the same area + for k in conds: + for c in conds[k]: + for kk in conds: + if k != kk: + create_cond_with_same_area_if_none(conds[kk], c) + + for k in conds: + for c in conds[k]: + if 'hooks' in c: + for hook in c['hooks'].hooks: + hook.initialize_timesteps(model) + + for k in conds: + pre_run_control(model, conds[k]) + + if "positive" in conds: + positive = conds["positive"] + for k in conds: + if k != "positive": + apply_empty_x_to_equal_area(list(filter(lambda c: c.get('control_apply_to_uncond', False) == True, positive)), conds[k], 'control', lambda cond_cnets, x: cond_cnets[x]) + apply_empty_x_to_equal_area(positive, conds[k], 'gligen', lambda cond_cnets, x: cond_cnets[x]) + + return conds + + +def preprocess_conds_hooks(conds: dict[str, list[dict[str]]]): + # determine which ControlNets have extra_hooks that should be combined with normal hooks + hook_replacement: dict[tuple[ControlBase, comfy.hooks.HookGroup], list[dict]] = {} + for k in conds: + for kk in conds[k]: + if 'control' in kk: + control: 'ControlBase' = kk['control'] + extra_hooks = control.get_extra_hooks() + if len(extra_hooks) > 0: + hooks: comfy.hooks.HookGroup = kk.get('hooks', None) + to_replace = hook_replacement.setdefault((control, hooks), []) + to_replace.append(kk) + # if nothing to replace, do nothing + if len(hook_replacement) == 0: + return + + # for optimal sampling performance, common ControlNets + hook combos should have identical hooks + # on the cond dicts + for key, conds_to_modify in hook_replacement.items(): + control = key[0] + hooks = key[1] + hooks = comfy.hooks.HookGroup.combine_all_hooks(control.get_extra_hooks() + [hooks]) + # if combined hooks are not None, set as new hooks for all relevant conds + if hooks is not None: + for cond in conds_to_modify: + cond['hooks'] = hooks + +def filter_registered_hooks_on_conds(conds: dict[str, list[dict[str]]], model_options: dict[str]): + '''Modify 'hooks' on conds so that only hooks that were registered remain. Properly accounts for + HookGroups that have the same reference.''' + registered: comfy.hooks.HookGroup = model_options.get('registered_hooks', None) + # if None were registered, make sure all hooks are cleaned from conds + if registered is None: + for k in conds: + for kk in conds[k]: + kk.pop('hooks', None) + return + # find conds that contain hooks to be replaced - group by common HookGroup refs + hook_replacement: dict[comfy.hooks.HookGroup, list[dict]] = {} + for k in conds: + for kk in conds[k]: + hooks: comfy.hooks.HookGroup = kk.get('hooks', None) + if hooks is not None: + if not hooks.is_subset_of(registered): + to_replace = hook_replacement.setdefault(hooks, []) + to_replace.append(kk) + # for each hook to replace, create a new proper HookGroup and assign to all common conds + for hooks, conds_to_modify in hook_replacement.items(): + new_hooks = hooks.new_with_common_hooks(registered) + if len(new_hooks) == 0: + new_hooks = None + for kk in conds_to_modify: + kk['hooks'] = new_hooks + + +def get_total_hook_groups_in_conds(conds: dict[str, list[dict[str]]]): + hooks_set = set() + for k in conds: + for kk in conds[k]: + hooks_set.add(kk.get('hooks', None)) + return len(hooks_set) + + +def cast_to_load_options(model_options: dict[str], device=None, dtype=None): + ''' + If any patches from hooks, wrappers, or callbacks have .to to be called, call it. + ''' + if model_options is None: + return + to_load_options = model_options.get("to_load_options", None) + if to_load_options is None: + return + + casts = [] + if device is not None: + casts.append(device) + if dtype is not None: + casts.append(dtype) + # if nothing to apply, do nothing + if len(casts) == 0: + return + + # try to call .to on patches + if "patches" in to_load_options: + patches = to_load_options["patches"] + for name in patches: + patch_list = patches[name] + for i in range(len(patch_list)): + if hasattr(patch_list[i], "to"): + for cast in casts: + patch_list[i] = patch_list[i].to(cast) + if "patches_replace" in to_load_options: + patches = to_load_options["patches_replace"] + for name in patches: + patch_list = patches[name] + for k in patch_list: + if hasattr(patch_list[k], "to"): + for cast in casts: + patch_list[k] = patch_list[k].to(cast) + # try to call .to on any wrappers/callbacks + wrappers_and_callbacks = ["wrappers", "callbacks"] + for wc_name in wrappers_and_callbacks: + if wc_name in to_load_options: + wc: dict[str, list] = to_load_options[wc_name] + for wc_dict in wc.values(): + for wc_list in wc_dict.values(): + for i in range(len(wc_list)): + if hasattr(wc_list[i], "to"): + for cast in casts: + wc_list[i] = wc_list[i].to(cast) + + +class CFGGuider: + def __init__(self, model_patcher: ModelPatcher): + self.model_patcher = model_patcher + self.model_options = model_patcher.model_options + self.original_conds = {} + self.cfg = 1.0 + + def set_conds(self, positive, negative): + self.inner_set_conds({"positive": positive, "negative": negative}) + + def set_cfg(self, cfg): + self.cfg = cfg + + def inner_set_conds(self, conds): + for k in conds: + self.original_conds[k] = comfy.sampler_helpers.convert_cond(conds[k]) + + def __call__(self, *args, **kwargs): + return self.outer_predict_noise(*args, **kwargs) + + def outer_predict_noise(self, x, timestep, model_options={}, seed=None): + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + self.predict_noise, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.PREDICT_NOISE, self.model_options, is_model_options=True) + ).execute(x, timestep, model_options, seed) + + def predict_noise(self, x, timestep, model_options={}, seed=None): + return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) + + def inner_sample(self, noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed): + if latent_image is not None and torch.count_nonzero(latent_image) > 0: #Don't shift the empty latent image. + latent_image = self.inner_model.process_latent_in(latent_image) + + self.conds = process_conds(self.inner_model, noise, self.conds, device, latent_image, denoise_mask, seed) + + extra_model_options = comfy.model_patcher.create_model_options_clone(self.model_options) + extra_model_options.setdefault("transformer_options", {})["sample_sigmas"] = sigmas + extra_args = {"model_options": extra_model_options, "seed": seed} + + executor = comfy.patcher_extension.WrapperExecutor.new_class_executor( + sampler.sample, + sampler, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.SAMPLER_SAMPLE, extra_args["model_options"], is_model_options=True) + ) + samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) + return self.inner_model.process_latent_out(samples.to(torch.float32)) + + def outer_sample(self, noise, latent_image, sampler, sigmas, denoise_mask=None, callback=None, disable_pbar=False, seed=None): + self.inner_model, self.conds, self.loaded_models = comfy.sampler_helpers.prepare_sampling(self.model_patcher, noise.shape, self.conds, self.model_options) + device = self.model_patcher.load_device + + if denoise_mask is not None: + denoise_mask = comfy.sampler_helpers.prepare_mask(denoise_mask, noise.shape, device) + + noise = noise.to(device) + latent_image = latent_image.to(device) + sigmas = sigmas.to(device) + cast_to_load_options(self.model_options, device=device, dtype=self.model_patcher.model_dtype()) + + try: + self.model_patcher.pre_run() + output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) + finally: + self.model_patcher.cleanup() + + comfy.sampler_helpers.cleanup_models(self.conds, self.loaded_models) + del self.inner_model + del self.loaded_models + return output + + def sample(self, noise, latent_image, sampler, sigmas, denoise_mask=None, callback=None, disable_pbar=False, seed=None): + if sigmas.shape[-1] == 0: + return latent_image + + self.conds = {} + for k in self.original_conds: + self.conds[k] = list(map(lambda a: a.copy(), self.original_conds[k])) + preprocess_conds_hooks(self.conds) + + try: + orig_model_options = self.model_options + self.model_options = comfy.model_patcher.create_model_options_clone(self.model_options) + # if one hook type (or just None), then don't bother caching weights for hooks (will never change after first step) + orig_hook_mode = self.model_patcher.hook_mode + if get_total_hook_groups_in_conds(self.conds) <= 1: + self.model_patcher.hook_mode = comfy.hooks.EnumHookMode.MinVram + comfy.sampler_helpers.prepare_model_patcher(self.model_patcher, self.conds, self.model_options) + filter_registered_hooks_on_conds(self.conds, self.model_options) + executor = comfy.patcher_extension.WrapperExecutor.new_class_executor( + self.outer_sample, + self, + comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.OUTER_SAMPLE, self.model_options, is_model_options=True) + ) + output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) + finally: + cast_to_load_options(self.model_options, device=self.model_patcher.offload_device) + self.model_options = orig_model_options + self.model_patcher.hook_mode = orig_hook_mode + self.model_patcher.restore_hook_patches() + + del self.conds + return output + + +def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model_options={}, latent_image=None, denoise_mask=None, callback=None, disable_pbar=False, seed=None): + cfg_guider = CFGGuider(model) + cfg_guider.set_conds(positive, negative) + cfg_guider.set_cfg(cfg) + return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) + + +SAMPLER_NAMES = KSAMPLER_NAMES + ["ddim", "uni_pc", "uni_pc_bh2"] + +class SchedulerHandler(NamedTuple): + handler: Callable[..., torch.Tensor] + # Boolean indicates whether to call the handler like: + # scheduler_function(model_sampling, steps) or + # scheduler_function(n, sigma_min: float, sigma_max: float) + use_ms: bool = True + +SCHEDULER_HANDLERS = { + "simple": SchedulerHandler(simple_scheduler), + "sgm_uniform": SchedulerHandler(partial(normal_scheduler, sgm=True)), + "karras": SchedulerHandler(k_diffusion_sampling.get_sigmas_karras, use_ms=False), + "exponential": SchedulerHandler(k_diffusion_sampling.get_sigmas_exponential, use_ms=False), + "ddim_uniform": SchedulerHandler(ddim_scheduler), + "beta": SchedulerHandler(beta_scheduler), + "normal": SchedulerHandler(normal_scheduler), + "linear_quadratic": SchedulerHandler(linear_quadratic_schedule), + "kl_optimal": SchedulerHandler(kl_optimal_scheduler, use_ms=False), +} +SCHEDULER_NAMES = list(SCHEDULER_HANDLERS) + +def calculate_sigmas(model_sampling: object, scheduler_name: str, steps: int) -> torch.Tensor: + handler = SCHEDULER_HANDLERS.get(scheduler_name) + if handler is None: + err = f"error invalid scheduler {scheduler_name}" + logging.error(err) + raise ValueError(err) + if handler.use_ms: + return handler.handler(model_sampling, steps) + return handler.handler(n=steps, sigma_min=float(model_sampling.sigma_min), sigma_max=float(model_sampling.sigma_max)) + +def sampler_object(name): + if name == "uni_pc": + sampler = KSAMPLER(uni_pc.sample_unipc) + elif name == "uni_pc_bh2": + sampler = KSAMPLER(uni_pc.sample_unipc_bh2) + elif name == "ddim": + sampler = ksampler("euler", inpaint_options={"random": True}) + else: + sampler = ksampler(name) + return sampler + +class KSampler: + SCHEDULERS = SCHEDULER_NAMES + SAMPLERS = SAMPLER_NAMES + DISCARD_PENULTIMATE_SIGMA_SAMPLERS = set(('dpm_2', 'dpm_2_ancestral', 'uni_pc', 'uni_pc_bh2')) + + def __init__(self, model, steps, device, sampler=None, scheduler=None, denoise=None, model_options={}): + self.model = model + self.device = device + if scheduler not in self.SCHEDULERS: + scheduler = self.SCHEDULERS[0] + if sampler not in self.SAMPLERS: + sampler = self.SAMPLERS[0] + self.scheduler = scheduler + self.sampler = sampler + self.set_steps(steps, denoise) + self.denoise = denoise + self.model_options = model_options + + def calculate_sigmas(self, steps): + sigmas = None + + discard_penultimate_sigma = False + if self.sampler in self.DISCARD_PENULTIMATE_SIGMA_SAMPLERS: + steps += 1 + discard_penultimate_sigma = True + + sigmas = calculate_sigmas(self.model.get_model_object("model_sampling"), self.scheduler, steps) + + if discard_penultimate_sigma: + sigmas = torch.cat([sigmas[:-2], sigmas[-1:]]) + return sigmas + + def set_steps(self, steps, denoise=None): + self.steps = steps + if denoise is None or denoise > 0.9999: + self.sigmas = self.calculate_sigmas(steps).to(self.device) + else: + if denoise <= 0.0: + self.sigmas = torch.FloatTensor([]) + else: + new_steps = int(steps/denoise) + sigmas = self.calculate_sigmas(new_steps).to(self.device) + self.sigmas = sigmas[-(steps + 1):] + + def sample(self, noise, positive, negative, cfg, latent_image=None, start_step=None, last_step=None, force_full_denoise=False, denoise_mask=None, sigmas=None, callback=None, disable_pbar=False, seed=None): + if sigmas is None: + sigmas = self.sigmas + + if last_step is not None and last_step < (len(sigmas) - 1): + sigmas = sigmas[:last_step + 1] + if force_full_denoise: + sigmas[-1] = 0 + + if start_step is not None: + if start_step < (len(sigmas) - 1): + sigmas = sigmas[start_step:] + else: + if latent_image is not None: + return latent_image + else: + return torch.zeros_like(noise) + + sampler = sampler_object(self.sampler) + + return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) diff --git a/comfy/sd.py b/comfy/sd.py new file mode 100644 index 0000000000000000000000000000000000000000..2df340739f4eda392fc3fc188097c1700146bda1 --- /dev/null +++ b/comfy/sd.py @@ -0,0 +1,1317 @@ +from __future__ import annotations +import json +import torch +from enum import Enum +import logging + +from comfy import model_management +from comfy.utils import ProgressBar +from .ldm.models.autoencoder import AutoencoderKL, AutoencodingEngine +from .ldm.cascade.stage_a import StageA +from .ldm.cascade.stage_c_coder import StageC_coder +from .ldm.audio.autoencoder import AudioOobleckVAE +import comfy.ldm.genmo.vae.model +import comfy.ldm.lightricks.vae.causal_video_autoencoder +import comfy.ldm.cosmos.vae +import comfy.ldm.wan.vae +import comfy.ldm.wan.vae2_2 +import comfy.ldm.hunyuan3d.vae +import comfy.ldm.ace.vae.music_dcae_pipeline +import comfy.ldm.hunyuan_video.vae +import comfy.pixel_space_convert +import yaml +import math +import os + +import comfy.utils + +from . import clip_vision +from . import gligen +from . import diffusers_convert +from . import model_detection + +from . import sd1_clip +from . import sdxl_clip +import comfy.text_encoders.sd2_clip +import comfy.text_encoders.sd3_clip +import comfy.text_encoders.sa_t5 +import comfy.text_encoders.aura_t5 +import comfy.text_encoders.pixart_t5 +import comfy.text_encoders.hydit +import comfy.text_encoders.flux +import comfy.text_encoders.long_clipl +import comfy.text_encoders.genmo +import comfy.text_encoders.lt +import comfy.text_encoders.hunyuan_video +import comfy.text_encoders.cosmos +import comfy.text_encoders.lumina2 +import comfy.text_encoders.wan +import comfy.text_encoders.hidream +import comfy.text_encoders.ace +import comfy.text_encoders.omnigen2 +import comfy.text_encoders.qwen_image +import comfy.text_encoders.hunyuan_image + +import comfy.model_patcher +import comfy.lora +import comfy.lora_convert +import comfy.hooks +import comfy.t2i_adapter.adapter +import comfy.taesd.taesd + +import comfy.ldm.flux.redux + +def load_lora_for_models(model, clip, lora, strength_model, strength_clip): + key_map = {} + if model is not None: + key_map = comfy.lora.model_lora_keys_unet(model.model, key_map) + if clip is not None: + key_map = comfy.lora.model_lora_keys_clip(clip.cond_stage_model, key_map) + + lora = comfy.lora_convert.convert_lora(lora) + loaded = comfy.lora.load_lora(lora, key_map) + if model is not None: + new_modelpatcher = model.clone() + k = new_modelpatcher.add_patches(loaded, strength_model) + else: + k = () + new_modelpatcher = None + + if clip is not None: + new_clip = clip.clone() + k1 = new_clip.add_patches(loaded, strength_clip) + else: + k1 = () + new_clip = None + k = set(k) + k1 = set(k1) + for x in loaded: + if (x not in k) and (x not in k1): + logging.warning("NOT LOADED {}".format(x)) + + return (new_modelpatcher, new_clip) + + +class CLIP: + def __init__(self, target=None, embedding_directory=None, no_init=False, tokenizer_data={}, parameters=0, model_options={}): + if no_init: + return + params = target.params.copy() + clip = target.clip + tokenizer = target.tokenizer + + load_device = model_options.get("load_device", model_management.text_encoder_device()) + offload_device = model_options.get("offload_device", model_management.text_encoder_offload_device()) + dtype = model_options.get("dtype", None) + if dtype is None: + dtype = model_management.text_encoder_dtype(load_device) + + params['dtype'] = dtype + params['device'] = model_options.get("initial_device", model_management.text_encoder_initial_device(load_device, offload_device, parameters * model_management.dtype_size(dtype))) + params['model_options'] = model_options + + self.cond_stage_model = clip(**(params)) + + for dt in self.cond_stage_model.dtypes: + if not model_management.supports_cast(load_device, dt): + load_device = offload_device + if params['device'] != offload_device: + self.cond_stage_model.to(offload_device) + logging.warning("Had to shift TE back.") + + self.tokenizer = tokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.patcher = comfy.model_patcher.ModelPatcher(self.cond_stage_model, load_device=load_device, offload_device=offload_device) + self.patcher.hook_mode = comfy.hooks.EnumHookMode.MinVram + self.patcher.is_clip = True + self.apply_hooks_to_conds = None + if params['device'] == load_device: + model_management.load_models_gpu([self.patcher], force_full_load=True) + self.layer_idx = None + self.use_clip_schedule = False + logging.info("CLIP/text encoder model load device: {}, offload device: {}, current: {}, dtype: {}".format(load_device, offload_device, params['device'], dtype)) + self.tokenizer_options = {} + + def clone(self): + n = CLIP(no_init=True) + n.patcher = self.patcher.clone() + n.cond_stage_model = self.cond_stage_model + n.tokenizer = self.tokenizer + n.layer_idx = self.layer_idx + n.tokenizer_options = self.tokenizer_options.copy() + n.use_clip_schedule = self.use_clip_schedule + n.apply_hooks_to_conds = self.apply_hooks_to_conds + return n + + def add_patches(self, patches, strength_patch=1.0, strength_model=1.0): + return self.patcher.add_patches(patches, strength_patch, strength_model) + + def set_tokenizer_option(self, option_name, value): + self.tokenizer_options[option_name] = value + + def clip_layer(self, layer_idx): + self.layer_idx = layer_idx + + def tokenize(self, text, return_word_ids=False, **kwargs): + tokenizer_options = kwargs.get("tokenizer_options", {}) + if len(self.tokenizer_options) > 0: + tokenizer_options = {**self.tokenizer_options, **tokenizer_options} + if len(tokenizer_options) > 0: + kwargs["tokenizer_options"] = tokenizer_options + return self.tokenizer.tokenize_with_weights(text, return_word_ids, **kwargs) + + def add_hooks_to_dict(self, pooled_dict: dict[str]): + if self.apply_hooks_to_conds: + pooled_dict["hooks"] = self.apply_hooks_to_conds + return pooled_dict + + def encode_from_tokens_scheduled(self, tokens, unprojected=False, add_dict: dict[str]={}, show_pbar=True): + all_cond_pooled: list[tuple[torch.Tensor, dict[str]]] = [] + all_hooks = self.patcher.forced_hooks + if all_hooks is None or not self.use_clip_schedule: + # if no hooks or shouldn't use clip schedule, do unscheduled encode_from_tokens and perform add_dict + return_pooled = "unprojected" if unprojected else True + pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True) + cond = pooled_dict.pop("cond") + # add/update any keys with the provided add_dict + pooled_dict.update(add_dict) + all_cond_pooled.append([cond, pooled_dict]) + else: + scheduled_keyframes = all_hooks.get_hooks_for_clip_schedule() + + self.cond_stage_model.reset_clip_options() + if self.layer_idx is not None: + self.cond_stage_model.set_clip_options({"layer": self.layer_idx}) + if unprojected: + self.cond_stage_model.set_clip_options({"projected_pooled": False}) + + self.load_model() + all_hooks.reset() + self.patcher.patch_hooks(None) + if show_pbar: + pbar = ProgressBar(len(scheduled_keyframes)) + + for scheduled_opts in scheduled_keyframes: + t_range = scheduled_opts[0] + # don't bother encoding any conds outside of start_percent and end_percent bounds + if "start_percent" in add_dict: + if t_range[1] < add_dict["start_percent"]: + continue + if "end_percent" in add_dict: + if t_range[0] > add_dict["end_percent"]: + continue + hooks_keyframes = scheduled_opts[1] + for hook, keyframe in hooks_keyframes: + hook.hook_keyframe._current_keyframe = keyframe + # apply appropriate hooks with values that match new hook_keyframe + self.patcher.patch_hooks(all_hooks) + # perform encoding as normal + o = self.cond_stage_model.encode_token_weights(tokens) + cond, pooled = o[:2] + pooled_dict = {"pooled_output": pooled} + # add clip_start_percent and clip_end_percent in pooled + pooled_dict["clip_start_percent"] = t_range[0] + pooled_dict["clip_end_percent"] = t_range[1] + # add/update any keys with the provided add_dict + pooled_dict.update(add_dict) + # add hooks stored on clip + self.add_hooks_to_dict(pooled_dict) + all_cond_pooled.append([cond, pooled_dict]) + if show_pbar: + pbar.update(1) + model_management.throw_exception_if_processing_interrupted() + all_hooks.reset() + return all_cond_pooled + + def encode_from_tokens(self, tokens, return_pooled=False, return_dict=False): + self.cond_stage_model.reset_clip_options() + + if self.layer_idx is not None: + self.cond_stage_model.set_clip_options({"layer": self.layer_idx}) + + if return_pooled == "unprojected": + self.cond_stage_model.set_clip_options({"projected_pooled": False}) + + self.load_model() + o = self.cond_stage_model.encode_token_weights(tokens) + cond, pooled = o[:2] + if return_dict: + out = {"cond": cond, "pooled_output": pooled} + if len(o) > 2: + for k in o[2]: + out[k] = o[2][k] + self.add_hooks_to_dict(out) + return out + + if return_pooled: + return cond, pooled + return cond + + def encode(self, text): + tokens = self.tokenize(text) + return self.encode_from_tokens(tokens) + + def load_sd(self, sd, full_model=False): + if full_model: + return self.cond_stage_model.load_state_dict(sd, strict=False) + else: + return self.cond_stage_model.load_sd(sd) + + def get_sd(self): + sd_clip = self.cond_stage_model.state_dict() + sd_tokenizer = self.tokenizer.state_dict() + for k in sd_tokenizer: + sd_clip[k] = sd_tokenizer[k] + return sd_clip + + def load_model(self): + model_management.load_model_gpu(self.patcher) + return self.patcher + + def get_key_patches(self): + return self.patcher.get_key_patches() + +class VAE: + def __init__(self, sd=None, device=None, config=None, dtype=None, metadata=None): + if 'decoder.up_blocks.0.resnets.0.norm1.weight' in sd.keys(): #diffusers format + sd = diffusers_convert.convert_vae_state_dict(sd) + + self.memory_used_encode = lambda shape, dtype: (1767 * shape[2] * shape[3]) * model_management.dtype_size(dtype) #These are for AutoencoderKL and need tweaking (should be lower) + self.memory_used_decode = lambda shape, dtype: (2178 * shape[2] * shape[3] * 64) * model_management.dtype_size(dtype) + self.downscale_ratio = 8 + self.upscale_ratio = 8 + self.latent_channels = 4 + self.latent_dim = 2 + self.output_channels = 3 + self.process_input = lambda image: image * 2.0 - 1.0 + self.process_output = lambda image: torch.clamp((image + 1.0) / 2.0, min=0.0, max=1.0) + self.working_dtypes = [torch.bfloat16, torch.float32] + self.disable_offload = False + self.not_video = False + + self.downscale_index_formula = None + self.upscale_index_formula = None + self.extra_1d_channel = None + + if config is None: + if "decoder.mid.block_1.mix_factor" in sd: + encoder_config = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0} + decoder_config = encoder_config.copy() + decoder_config["video_kernel_size"] = [3, 1, 1] + decoder_config["alpha"] = 0.0 + self.first_stage_model = AutoencodingEngine(regularizer_config={'target': "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"}, + encoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Encoder", 'params': encoder_config}, + decoder_config={'target': "comfy.ldm.modules.temporal_ae.VideoDecoder", 'params': decoder_config}) + elif "taesd_decoder.1.weight" in sd: + self.latent_channels = sd["taesd_decoder.1.weight"].shape[1] + self.first_stage_model = comfy.taesd.taesd.TAESD(latent_channels=self.latent_channels) + elif "vquantizer.codebook.weight" in sd: #VQGan: stage a of stable cascade + self.first_stage_model = StageA() + self.downscale_ratio = 4 + self.upscale_ratio = 4 + #TODO + #self.memory_used_encode + #self.memory_used_decode + self.process_input = lambda image: image + self.process_output = lambda image: image + elif "backbone.1.0.block.0.1.num_batches_tracked" in sd: #effnet: encoder for stage c latent of stable cascade + self.first_stage_model = StageC_coder() + self.downscale_ratio = 32 + self.latent_channels = 16 + new_sd = {} + for k in sd: + new_sd["encoder.{}".format(k)] = sd[k] + sd = new_sd + elif "blocks.11.num_batches_tracked" in sd: #previewer: decoder for stage c latent of stable cascade + self.first_stage_model = StageC_coder() + self.latent_channels = 16 + new_sd = {} + for k in sd: + new_sd["previewer.{}".format(k)] = sd[k] + sd = new_sd + elif "encoder.backbone.1.0.block.0.1.num_batches_tracked" in sd: #combined effnet and previewer for stable cascade + self.first_stage_model = StageC_coder() + self.downscale_ratio = 32 + self.latent_channels = 16 + elif "decoder.conv_in.weight" in sd and sd['decoder.conv_in.weight'].shape[1] == 64: + ddconfig = {"block_out_channels": [128, 256, 512, 512, 1024, 1024], "in_channels": 3, "out_channels": 3, "num_res_blocks": 2, "ffactor_spatial": 32, "downsample_match_channel": True, "upsample_match_channel": True} + self.latent_channels = ddconfig['z_channels'] = sd["decoder.conv_in.weight"].shape[1] + self.downscale_ratio = 32 + self.upscale_ratio = 32 + self.working_dtypes = [torch.float16, torch.bfloat16, torch.float32] + self.first_stage_model = AutoencodingEngine(regularizer_config={'target': "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"}, + encoder_config={'target': "comfy.ldm.hunyuan_video.vae.Encoder", 'params': ddconfig}, + decoder_config={'target': "comfy.ldm.hunyuan_video.vae.Decoder", 'params': ddconfig}) + + self.memory_used_encode = lambda shape, dtype: (700 * shape[2] * shape[3]) * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: (700 * shape[2] * shape[3] * 32 * 32) * model_management.dtype_size(dtype) + + elif "decoder.conv_in.weight" in sd: + #default SD1.x/SD2.x VAE parameters + ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0} + + if 'encoder.down.2.downsample.conv.weight' not in sd and 'decoder.up.3.upsample.conv.weight' not in sd: #Stable diffusion x4 upscaler VAE + ddconfig['ch_mult'] = [1, 2, 4] + self.downscale_ratio = 4 + self.upscale_ratio = 4 + + self.latent_channels = ddconfig['z_channels'] = sd["decoder.conv_in.weight"].shape[1] + if 'post_quant_conv.weight' in sd: + self.first_stage_model = AutoencoderKL(ddconfig=ddconfig, embed_dim=sd['post_quant_conv.weight'].shape[1]) + else: + self.first_stage_model = AutoencodingEngine(regularizer_config={'target': "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"}, + encoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Encoder", 'params': ddconfig}, + decoder_config={'target': "comfy.ldm.modules.diffusionmodules.model.Decoder", 'params': ddconfig}) + elif "decoder.layers.1.layers.0.beta" in sd: + self.first_stage_model = AudioOobleckVAE() + self.memory_used_encode = lambda shape, dtype: (1000 * shape[2]) * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: (1000 * shape[2] * 2048) * model_management.dtype_size(dtype) + self.latent_channels = 64 + self.output_channels = 2 + self.upscale_ratio = 2048 + self.downscale_ratio = 2048 + self.latent_dim = 1 + self.process_output = lambda audio: audio + self.process_input = lambda audio: audio + self.working_dtypes = [torch.float16, torch.bfloat16, torch.float32] + self.disable_offload = True + elif "blocks.2.blocks.3.stack.5.weight" in sd or "decoder.blocks.2.blocks.3.stack.5.weight" in sd or "layers.4.layers.1.attn_block.attn.qkv.weight" in sd or "encoder.layers.4.layers.1.attn_block.attn.qkv.weight" in sd: #genmo mochi vae + if "blocks.2.blocks.3.stack.5.weight" in sd: + sd = comfy.utils.state_dict_prefix_replace(sd, {"": "decoder."}) + if "layers.4.layers.1.attn_block.attn.qkv.weight" in sd: + sd = comfy.utils.state_dict_prefix_replace(sd, {"": "encoder."}) + self.first_stage_model = comfy.ldm.genmo.vae.model.VideoVAE() + self.latent_channels = 12 + self.latent_dim = 3 + self.memory_used_decode = lambda shape, dtype: (1000 * shape[2] * shape[3] * shape[4] * (6 * 8 * 8)) * model_management.dtype_size(dtype) + self.memory_used_encode = lambda shape, dtype: (1.5 * max(shape[2], 7) * shape[3] * shape[4] * (6 * 8 * 8)) * model_management.dtype_size(dtype) + self.upscale_ratio = (lambda a: max(0, a * 6 - 5), 8, 8) + self.upscale_index_formula = (6, 8, 8) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 5) / 6)), 8, 8) + self.downscale_index_formula = (6, 8, 8) + self.working_dtypes = [torch.float16, torch.float32] + elif "decoder.up_blocks.0.res_blocks.0.conv1.conv.weight" in sd: #lightricks ltxv + tensor_conv1 = sd["decoder.up_blocks.0.res_blocks.0.conv1.conv.weight"] + version = 0 + if tensor_conv1.shape[0] == 512: + version = 0 + elif tensor_conv1.shape[0] == 1024: + version = 1 + if "encoder.down_blocks.1.conv.conv.bias" in sd: + version = 2 + vae_config = None + if metadata is not None and "config" in metadata: + vae_config = json.loads(metadata["config"]).get("vae", None) + self.first_stage_model = comfy.ldm.lightricks.vae.causal_video_autoencoder.VideoVAE(version=version, config=vae_config) + self.latent_channels = 128 + self.latent_dim = 3 + self.memory_used_decode = lambda shape, dtype: (900 * shape[2] * shape[3] * shape[4] * (8 * 8 * 8)) * model_management.dtype_size(dtype) + self.memory_used_encode = lambda shape, dtype: (70 * max(shape[2], 7) * shape[3] * shape[4]) * model_management.dtype_size(dtype) + self.upscale_ratio = (lambda a: max(0, a * 8 - 7), 32, 32) + self.upscale_index_formula = (8, 32, 32) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 7) / 8)), 32, 32) + self.downscale_index_formula = (8, 32, 32) + self.working_dtypes = [torch.bfloat16, torch.float32] + elif "decoder.conv_in.conv.weight" in sd and sd['decoder.conv_in.conv.weight'].shape[1] == 32: + ddconfig = {"block_out_channels": [128, 256, 512, 1024, 1024], "in_channels": 3, "out_channels": 3, "num_res_blocks": 2, "ffactor_spatial": 16, "ffactor_temporal": 4, "downsample_match_channel": True, "upsample_match_channel": True} + ddconfig['z_channels'] = sd["decoder.conv_in.conv.weight"].shape[1] + self.latent_channels = 64 + self.upscale_ratio = (lambda a: max(0, a * 4 - 3), 16, 16) + self.upscale_index_formula = (4, 16, 16) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 3) / 4)), 16, 16) + self.downscale_index_formula = (4, 16, 16) + self.latent_dim = 3 + self.not_video = True + self.working_dtypes = [torch.float16, torch.bfloat16, torch.float32] + self.first_stage_model = AutoencodingEngine(regularizer_config={'target': "comfy.ldm.models.autoencoder.EmptyRegularizer"}, + encoder_config={'target': "comfy.ldm.hunyuan_video.vae_refiner.Encoder", 'params': ddconfig}, + decoder_config={'target': "comfy.ldm.hunyuan_video.vae_refiner.Decoder", 'params': ddconfig}) + + self.memory_used_encode = lambda shape, dtype: (1400 * shape[-2] * shape[-1]) * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: (1400 * shape[-3] * shape[-2] * shape[-1] * 16 * 16) * model_management.dtype_size(dtype) + elif "decoder.conv_in.conv.weight" in sd: + ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0} + ddconfig["conv3d"] = True + ddconfig["time_compress"] = 4 + self.upscale_ratio = (lambda a: max(0, a * 4 - 3), 8, 8) + self.upscale_index_formula = (4, 8, 8) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 3) / 4)), 8, 8) + self.downscale_index_formula = (4, 8, 8) + self.latent_dim = 3 + self.latent_channels = ddconfig['z_channels'] = sd["decoder.conv_in.conv.weight"].shape[1] + self.first_stage_model = AutoencoderKL(ddconfig=ddconfig, embed_dim=sd['post_quant_conv.weight'].shape[1]) + self.memory_used_decode = lambda shape, dtype: (1500 * shape[2] * shape[3] * shape[4] * (4 * 8 * 8)) * model_management.dtype_size(dtype) + self.memory_used_encode = lambda shape, dtype: (900 * max(shape[2], 2) * shape[3] * shape[4]) * model_management.dtype_size(dtype) + self.working_dtypes = [torch.bfloat16, torch.float16, torch.float32] + elif "decoder.unpatcher3d.wavelets" in sd: + self.upscale_ratio = (lambda a: max(0, a * 8 - 7), 8, 8) + self.upscale_index_formula = (8, 8, 8) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 7) / 8)), 8, 8) + self.downscale_index_formula = (8, 8, 8) + self.latent_dim = 3 + self.latent_channels = 16 + ddconfig = {'z_channels': 16, 'latent_channels': self.latent_channels, 'z_factor': 1, 'resolution': 1024, 'in_channels': 3, 'out_channels': 3, 'channels': 128, 'channels_mult': [2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [32], 'dropout': 0.0, 'patch_size': 4, 'num_groups': 1, 'temporal_compression': 8, 'spacial_compression': 8} + self.first_stage_model = comfy.ldm.cosmos.vae.CausalContinuousVideoTokenizer(**ddconfig) + #TODO: these values are a bit off because this is not a standard VAE + self.memory_used_decode = lambda shape, dtype: (50 * shape[2] * shape[3] * shape[4] * (8 * 8 * 8)) * model_management.dtype_size(dtype) + self.memory_used_encode = lambda shape, dtype: (50 * (round((shape[2] + 7) / 8) * 8) * shape[3] * shape[4]) * model_management.dtype_size(dtype) + self.working_dtypes = [torch.bfloat16, torch.float32] + elif "decoder.middle.0.residual.0.gamma" in sd: + if "decoder.upsamples.0.upsamples.0.residual.2.weight" in sd: # Wan 2.2 VAE + self.upscale_ratio = (lambda a: max(0, a * 4 - 3), 16, 16) + self.upscale_index_formula = (4, 16, 16) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 3) / 4)), 16, 16) + self.downscale_index_formula = (4, 16, 16) + self.latent_dim = 3 + self.latent_channels = 48 + ddconfig = {"dim": 160, "z_dim": self.latent_channels, "dim_mult": [1, 2, 4, 4], "num_res_blocks": 2, "attn_scales": [], "temperal_downsample": [False, True, True], "dropout": 0.0} + self.first_stage_model = comfy.ldm.wan.vae2_2.WanVAE(**ddconfig) + self.working_dtypes = [torch.bfloat16, torch.float16, torch.float32] + self.memory_used_encode = lambda shape, dtype: 3300 * shape[3] * shape[4] * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: 8000 * shape[3] * shape[4] * (16 * 16) * model_management.dtype_size(dtype) + else: # Wan 2.1 VAE + self.upscale_ratio = (lambda a: max(0, a * 4 - 3), 8, 8) + self.upscale_index_formula = (4, 8, 8) + self.downscale_ratio = (lambda a: max(0, math.floor((a + 3) / 4)), 8, 8) + self.downscale_index_formula = (4, 8, 8) + self.latent_dim = 3 + self.latent_channels = 16 + ddconfig = {"dim": 96, "z_dim": self.latent_channels, "dim_mult": [1, 2, 4, 4], "num_res_blocks": 2, "attn_scales": [], "temperal_downsample": [False, True, True], "dropout": 0.0} + self.first_stage_model = comfy.ldm.wan.vae.WanVAE(**ddconfig) + self.working_dtypes = [torch.bfloat16, torch.float16, torch.float32] + self.memory_used_encode = lambda shape, dtype: 6000 * shape[3] * shape[4] * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: 7000 * shape[3] * shape[4] * (8 * 8) * model_management.dtype_size(dtype) + # Hunyuan 3d v2 2.0 & 2.1 + elif "geo_decoder.cross_attn_decoder.ln_1.bias" in sd: + + self.latent_dim = 1 + + def estimate_memory(shape, dtype, num_layers = 16, kv_cache_multiplier = 2): + batch, num_tokens, hidden_dim = shape + dtype_size = model_management.dtype_size(dtype) + + total_mem = batch * num_tokens * hidden_dim * dtype_size * (1 + kv_cache_multiplier * num_layers) + return total_mem + + # better memory estimations + self.memory_used_encode = lambda shape, dtype, num_layers = 8, kv_cache_multiplier = 0:\ + estimate_memory(shape, dtype, num_layers, kv_cache_multiplier) + + self.memory_used_decode = lambda shape, dtype, num_layers = 16, kv_cache_multiplier = 2: \ + estimate_memory(shape, dtype, num_layers, kv_cache_multiplier) + + self.first_stage_model = comfy.ldm.hunyuan3d.vae.ShapeVAE() + self.working_dtypes = [torch.float16, torch.bfloat16, torch.float32] + + + elif "vocoder.backbone.channel_layers.0.0.bias" in sd: #Ace Step Audio + self.first_stage_model = comfy.ldm.ace.vae.music_dcae_pipeline.MusicDCAE(source_sample_rate=44100) + self.memory_used_encode = lambda shape, dtype: (shape[2] * 330) * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: (shape[2] * shape[3] * 87000) * model_management.dtype_size(dtype) + self.latent_channels = 8 + self.output_channels = 2 + self.upscale_ratio = 4096 + self.downscale_ratio = 4096 + self.latent_dim = 2 + self.process_output = lambda audio: audio + self.process_input = lambda audio: audio + self.working_dtypes = [torch.bfloat16, torch.float16, torch.float32] + self.disable_offload = True + self.extra_1d_channel = 16 + elif "pixel_space_vae" in sd: + self.first_stage_model = comfy.pixel_space_convert.PixelspaceConversionVAE() + self.memory_used_encode = lambda shape, dtype: (1 * shape[2] * shape[3]) * model_management.dtype_size(dtype) + self.memory_used_decode = lambda shape, dtype: (1 * shape[2] * shape[3]) * model_management.dtype_size(dtype) + self.downscale_ratio = 1 + self.upscale_ratio = 1 + self.latent_channels = 3 + self.latent_dim = 2 + self.output_channels = 3 + else: + logging.warning("WARNING: No VAE weights detected, VAE not initalized.") + self.first_stage_model = None + return + else: + self.first_stage_model = AutoencoderKL(**(config['params'])) + self.first_stage_model = self.first_stage_model.eval() + + m, u = self.first_stage_model.load_state_dict(sd, strict=False) + if len(m) > 0: + logging.warning("Missing VAE keys {}".format(m)) + + if len(u) > 0: + logging.debug("Leftover VAE keys {}".format(u)) + + if device is None: + device = model_management.vae_device() + self.device = device + offload_device = model_management.vae_offload_device() + if dtype is None: + dtype = model_management.vae_dtype(self.device, self.working_dtypes) + self.vae_dtype = dtype + self.first_stage_model.to(self.vae_dtype) + self.output_device = model_management.intermediate_device() + + self.patcher = comfy.model_patcher.ModelPatcher(self.first_stage_model, load_device=self.device, offload_device=offload_device) + logging.info("VAE load device: {}, offload device: {}, dtype: {}".format(self.device, offload_device, self.vae_dtype)) + + def throw_exception_if_invalid(self): + if self.first_stage_model is None: + raise RuntimeError("ERROR: VAE is invalid: None\n\nIf the VAE is from a checkpoint loader node your checkpoint does not contain a valid VAE.") + + def vae_encode_crop_pixels(self, pixels): + downscale_ratio = self.spacial_compression_encode() + + dims = pixels.shape[1:-1] + for d in range(len(dims)): + x = (dims[d] // downscale_ratio) * downscale_ratio + x_offset = (dims[d] % downscale_ratio) // 2 + if x != dims[d]: + pixels = pixels.narrow(d + 1, x_offset, x) + return pixels + + def decode_tiled_(self, samples, tile_x=64, tile_y=64, overlap = 16): + steps = samples.shape[0] * comfy.utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x, tile_y, overlap) + steps += samples.shape[0] * comfy.utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x // 2, tile_y * 2, overlap) + steps += samples.shape[0] * comfy.utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x * 2, tile_y // 2, overlap) + pbar = comfy.utils.ProgressBar(steps) + + decode_fn = lambda a: self.first_stage_model.decode(a.to(self.vae_dtype).to(self.device)).float() + output = self.process_output( + (comfy.utils.tiled_scale(samples, decode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = self.upscale_ratio, output_device=self.output_device, pbar = pbar) + + comfy.utils.tiled_scale(samples, decode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = self.upscale_ratio, output_device=self.output_device, pbar = pbar) + + comfy.utils.tiled_scale(samples, decode_fn, tile_x, tile_y, overlap, upscale_amount = self.upscale_ratio, output_device=self.output_device, pbar = pbar)) + / 3.0) + return output + + def decode_tiled_1d(self, samples, tile_x=128, overlap=32): + if samples.ndim == 3: + decode_fn = lambda a: self.first_stage_model.decode(a.to(self.vae_dtype).to(self.device)).float() + else: + og_shape = samples.shape + samples = samples.reshape((og_shape[0], og_shape[1] * og_shape[2], -1)) + decode_fn = lambda a: self.first_stage_model.decode(a.reshape((-1, og_shape[1], og_shape[2], a.shape[-1])).to(self.vae_dtype).to(self.device)).float() + + return self.process_output(comfy.utils.tiled_scale_multidim(samples, decode_fn, tile=(tile_x,), overlap=overlap, upscale_amount=self.upscale_ratio, out_channels=self.output_channels, output_device=self.output_device)) + + def decode_tiled_3d(self, samples, tile_t=999, tile_x=32, tile_y=32, overlap=(1, 8, 8)): + decode_fn = lambda a: self.first_stage_model.decode(a.to(self.vae_dtype).to(self.device)).float() + return self.process_output(comfy.utils.tiled_scale_multidim(samples, decode_fn, tile=(tile_t, tile_x, tile_y), overlap=overlap, upscale_amount=self.upscale_ratio, out_channels=self.output_channels, index_formulas=self.upscale_index_formula, output_device=self.output_device)) + + def encode_tiled_(self, pixel_samples, tile_x=512, tile_y=512, overlap = 64): + steps = pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x, tile_y, overlap) + steps += pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x // 2, tile_y * 2, overlap) + steps += pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x * 2, tile_y // 2, overlap) + pbar = comfy.utils.ProgressBar(steps) + + encode_fn = lambda a: self.first_stage_model.encode((self.process_input(a)).to(self.vae_dtype).to(self.device)).float() + samples = comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x, tile_y, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar) + samples += comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar) + samples += comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar) + samples /= 3.0 + return samples + + def encode_tiled_1d(self, samples, tile_x=256 * 2048, overlap=64 * 2048): + if self.latent_dim == 1: + encode_fn = lambda a: self.first_stage_model.encode((self.process_input(a)).to(self.vae_dtype).to(self.device)).float() + out_channels = self.latent_channels + upscale_amount = 1 / self.downscale_ratio + else: + extra_channel_size = self.extra_1d_channel + out_channels = self.latent_channels * extra_channel_size + tile_x = tile_x // extra_channel_size + overlap = overlap // extra_channel_size + upscale_amount = 1 / self.downscale_ratio + encode_fn = lambda a: self.first_stage_model.encode((self.process_input(a)).to(self.vae_dtype).to(self.device)).reshape(1, out_channels, -1).float() + + out = comfy.utils.tiled_scale_multidim(samples, encode_fn, tile=(tile_x,), overlap=overlap, upscale_amount=upscale_amount, out_channels=out_channels, output_device=self.output_device) + if self.latent_dim == 1: + return out + else: + return out.reshape(samples.shape[0], self.latent_channels, extra_channel_size, -1) + + def encode_tiled_3d(self, samples, tile_t=9999, tile_x=512, tile_y=512, overlap=(1, 64, 64)): + encode_fn = lambda a: self.first_stage_model.encode((self.process_input(a)).to(self.vae_dtype).to(self.device)).float() + return comfy.utils.tiled_scale_multidim(samples, encode_fn, tile=(tile_t, tile_x, tile_y), overlap=overlap, upscale_amount=self.downscale_ratio, out_channels=self.latent_channels, downscale=True, index_formulas=self.downscale_index_formula, output_device=self.output_device) + + def decode(self, samples_in, vae_options={}): + self.throw_exception_if_invalid() + pixel_samples = None + try: + memory_used = self.memory_used_decode(samples_in.shape, self.vae_dtype) + model_management.load_models_gpu([self.patcher], memory_required=memory_used, force_full_load=self.disable_offload) + free_memory = model_management.get_free_memory(self.device) + batch_number = int(free_memory / memory_used) + batch_number = max(1, batch_number) + + for x in range(0, samples_in.shape[0], batch_number): + samples = samples_in[x:x+batch_number].to(self.vae_dtype).to(self.device) + out = self.process_output(self.first_stage_model.decode(samples, **vae_options).to(self.output_device).float()) + if pixel_samples is None: + pixel_samples = torch.empty((samples_in.shape[0],) + tuple(out.shape[1:]), device=self.output_device) + pixel_samples[x:x+batch_number] = out + except model_management.OOM_EXCEPTION: + logging.warning("Warning: Ran out of memory when regular VAE decoding, retrying with tiled VAE decoding.") + dims = samples_in.ndim - 2 + if dims == 1 or self.extra_1d_channel is not None: + pixel_samples = self.decode_tiled_1d(samples_in) + elif dims == 2: + pixel_samples = self.decode_tiled_(samples_in) + elif dims == 3: + tile = 256 // self.spacial_compression_decode() + overlap = tile // 4 + pixel_samples = self.decode_tiled_3d(samples_in, tile_x=tile, tile_y=tile, overlap=(1, overlap, overlap)) + + pixel_samples = pixel_samples.to(self.output_device).movedim(1,-1) + return pixel_samples + + def decode_tiled(self, samples, tile_x=None, tile_y=None, overlap=None, tile_t=None, overlap_t=None): + self.throw_exception_if_invalid() + memory_used = self.memory_used_decode(samples.shape, self.vae_dtype) #TODO: calculate mem required for tile + model_management.load_models_gpu([self.patcher], memory_required=memory_used, force_full_load=self.disable_offload) + dims = samples.ndim - 2 + args = {} + if tile_x is not None: + args["tile_x"] = tile_x + if tile_y is not None: + args["tile_y"] = tile_y + if overlap is not None: + args["overlap"] = overlap + + if dims == 1: + args.pop("tile_y") + output = self.decode_tiled_1d(samples, **args) + elif dims == 2: + output = self.decode_tiled_(samples, **args) + elif dims == 3: + if overlap_t is None: + args["overlap"] = (1, overlap, overlap) + else: + args["overlap"] = (max(1, overlap_t), overlap, overlap) + if tile_t is not None: + args["tile_t"] = max(2, tile_t) + + output = self.decode_tiled_3d(samples, **args) + return output.movedim(1, -1) + + def encode(self, pixel_samples): + self.throw_exception_if_invalid() + pixel_samples = self.vae_encode_crop_pixels(pixel_samples) + pixel_samples = pixel_samples.movedim(-1, 1) + if self.latent_dim == 3 and pixel_samples.ndim < 5: + if not self.not_video: + pixel_samples = pixel_samples.movedim(1, 0).unsqueeze(0) + else: + pixel_samples = pixel_samples.unsqueeze(2) + try: + memory_used = self.memory_used_encode(pixel_samples.shape, self.vae_dtype) + model_management.load_models_gpu([self.patcher], memory_required=memory_used, force_full_load=self.disable_offload) + free_memory = model_management.get_free_memory(self.device) + batch_number = int(free_memory / max(1, memory_used)) + batch_number = max(1, batch_number) + samples = None + for x in range(0, pixel_samples.shape[0], batch_number): + pixels_in = self.process_input(pixel_samples[x:x + batch_number]).to(self.vae_dtype).to(self.device) + out = self.first_stage_model.encode(pixels_in).to(self.output_device).float() + if samples is None: + samples = torch.empty((pixel_samples.shape[0],) + tuple(out.shape[1:]), device=self.output_device) + samples[x:x + batch_number] = out + + except model_management.OOM_EXCEPTION: + logging.warning("Warning: Ran out of memory when regular VAE encoding, retrying with tiled VAE encoding.") + if self.latent_dim == 3: + tile = 256 + overlap = tile // 4 + samples = self.encode_tiled_3d(pixel_samples, tile_x=tile, tile_y=tile, overlap=(1, overlap, overlap)) + elif self.latent_dim == 1 or self.extra_1d_channel is not None: + samples = self.encode_tiled_1d(pixel_samples) + else: + samples = self.encode_tiled_(pixel_samples) + + return samples + + def encode_tiled(self, pixel_samples, tile_x=None, tile_y=None, overlap=None, tile_t=None, overlap_t=None): + self.throw_exception_if_invalid() + pixel_samples = self.vae_encode_crop_pixels(pixel_samples) + dims = self.latent_dim + pixel_samples = pixel_samples.movedim(-1, 1) + if dims == 3: + if not self.not_video: + pixel_samples = pixel_samples.movedim(1, 0).unsqueeze(0) + else: + pixel_samples = pixel_samples.unsqueeze(2) + + memory_used = self.memory_used_encode(pixel_samples.shape, self.vae_dtype) # TODO: calculate mem required for tile + model_management.load_models_gpu([self.patcher], memory_required=memory_used, force_full_load=self.disable_offload) + + args = {} + if tile_x is not None: + args["tile_x"] = tile_x + if tile_y is not None: + args["tile_y"] = tile_y + if overlap is not None: + args["overlap"] = overlap + + if dims == 1: + args.pop("tile_y") + samples = self.encode_tiled_1d(pixel_samples, **args) + elif dims == 2: + samples = self.encode_tiled_(pixel_samples, **args) + elif dims == 3: + if tile_t is not None: + tile_t_latent = max(2, self.downscale_ratio[0](tile_t)) + else: + tile_t_latent = 9999 + args["tile_t"] = self.upscale_ratio[0](tile_t_latent) + + if overlap_t is None: + args["overlap"] = (1, overlap, overlap) + else: + args["overlap"] = (self.upscale_ratio[0](max(1, min(tile_t_latent // 2, self.downscale_ratio[0](overlap_t)))), overlap, overlap) + maximum = pixel_samples.shape[2] + maximum = self.upscale_ratio[0](self.downscale_ratio[0](maximum)) + + samples = self.encode_tiled_3d(pixel_samples[:,:,:maximum], **args) + + return samples + + def get_sd(self): + return self.first_stage_model.state_dict() + + def spacial_compression_decode(self): + try: + return self.upscale_ratio[-1] + except: + return self.upscale_ratio + + def spacial_compression_encode(self): + try: + return self.downscale_ratio[-1] + except: + return self.downscale_ratio + + def temporal_compression_decode(self): + try: + return round(self.upscale_ratio[0](8192) / 8192) + except: + return None + + +class StyleModel: + def __init__(self, model, device="cpu"): + self.model = model + + def get_cond(self, input): + return self.model(input.last_hidden_state) + + +def load_style_model(ckpt_path): + model_data = comfy.utils.load_torch_file(ckpt_path, safe_load=True) + keys = model_data.keys() + if "style_embedding" in keys: + model = comfy.t2i_adapter.adapter.StyleAdapter(width=1024, context_dim=768, num_head=8, n_layes=3, num_token=8) + elif "redux_down.weight" in keys: + model = comfy.ldm.flux.redux.ReduxImageEncoder() + else: + raise Exception("invalid style model {}".format(ckpt_path)) + model.load_state_dict(model_data) + return StyleModel(model) + +class CLIPType(Enum): + STABLE_DIFFUSION = 1 + STABLE_CASCADE = 2 + SD3 = 3 + STABLE_AUDIO = 4 + HUNYUAN_DIT = 5 + FLUX = 6 + MOCHI = 7 + LTXV = 8 + HUNYUAN_VIDEO = 9 + PIXART = 10 + COSMOS = 11 + LUMINA2 = 12 + WAN = 13 + HIDREAM = 14 + CHROMA = 15 + ACE = 16 + OMNIGEN2 = 17 + QWEN_IMAGE = 18 + HUNYUAN_IMAGE = 19 + + +def load_clip(ckpt_paths, embedding_directory=None, clip_type=CLIPType.STABLE_DIFFUSION, model_options={}): + clip_data = [] + for p in ckpt_paths: + clip_data.append(comfy.utils.load_torch_file(p, safe_load=True)) + return load_text_encoder_state_dicts(clip_data, embedding_directory=embedding_directory, clip_type=clip_type, model_options=model_options) + + +class TEModel(Enum): + CLIP_L = 1 + CLIP_H = 2 + CLIP_G = 3 + T5_XXL = 4 + T5_XL = 5 + T5_BASE = 6 + LLAMA3_8 = 7 + T5_XXL_OLD = 8 + GEMMA_2_2B = 9 + QWEN25_3B = 10 + QWEN25_7B = 11 + BYT5_SMALL_GLYPH = 12 + +def detect_te_model(sd): + if "text_model.encoder.layers.30.mlp.fc1.weight" in sd: + return TEModel.CLIP_G + if "text_model.encoder.layers.22.mlp.fc1.weight" in sd: + return TEModel.CLIP_H + if "text_model.encoder.layers.0.mlp.fc1.weight" in sd: + return TEModel.CLIP_L + if "encoder.block.23.layer.1.DenseReluDense.wi_1.weight" in sd: + weight = sd["encoder.block.23.layer.1.DenseReluDense.wi_1.weight"] + if weight.shape[-1] == 4096: + return TEModel.T5_XXL + elif weight.shape[-1] == 2048: + return TEModel.T5_XL + if 'encoder.block.23.layer.1.DenseReluDense.wi.weight' in sd: + return TEModel.T5_XXL_OLD + if "encoder.block.0.layer.0.SelfAttention.k.weight" in sd: + weight = sd['encoder.block.0.layer.0.SelfAttention.k.weight'] + if weight.shape[0] == 384: + return TEModel.BYT5_SMALL_GLYPH + return TEModel.T5_BASE + if 'model.layers.0.post_feedforward_layernorm.weight' in sd: + return TEModel.GEMMA_2_2B + if 'model.layers.0.self_attn.k_proj.bias' in sd: + weight = sd['model.layers.0.self_attn.k_proj.bias'] + if weight.shape[0] == 256: + return TEModel.QWEN25_3B + if weight.shape[0] == 512: + return TEModel.QWEN25_7B + if "model.layers.0.post_attention_layernorm.weight" in sd: + return TEModel.LLAMA3_8 + return None + + +def t5xxl_detect(clip_data): + weight_name = "encoder.block.23.layer.1.DenseReluDense.wi_1.weight" + weight_name_old = "encoder.block.23.layer.1.DenseReluDense.wi.weight" + + for sd in clip_data: + if weight_name in sd or weight_name_old in sd: + return comfy.text_encoders.sd3_clip.t5_xxl_detect(sd) + + return {} + +def llama_detect(clip_data): + weight_name = "model.layers.0.self_attn.k_proj.weight" + + for sd in clip_data: + if weight_name in sd: + return comfy.text_encoders.hunyuan_video.llama_detect(sd) + + return {} + +def load_text_encoder_state_dicts(state_dicts=[], embedding_directory=None, clip_type=CLIPType.STABLE_DIFFUSION, model_options={}): + clip_data = state_dicts + + class EmptyClass: + pass + + for i in range(len(clip_data)): + if "transformer.resblocks.0.ln_1.weight" in clip_data[i]: + clip_data[i] = comfy.utils.clip_text_transformers_convert(clip_data[i], "", "") + else: + if "text_projection" in clip_data[i]: + clip_data[i]["text_projection.weight"] = clip_data[i]["text_projection"].transpose(0, 1) #old models saved with the CLIPSave node + + tokenizer_data = {} + clip_target = EmptyClass() + clip_target.params = {} + if len(clip_data) == 1: + te_model = detect_te_model(clip_data[0]) + if te_model == TEModel.CLIP_G: + if clip_type == CLIPType.STABLE_CASCADE: + clip_target.clip = sdxl_clip.StableCascadeClipModel + clip_target.tokenizer = sdxl_clip.StableCascadeTokenizer + elif clip_type == CLIPType.SD3: + clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(clip_l=False, clip_g=True, t5=False) + clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer + elif clip_type == CLIPType.HIDREAM: + clip_target.clip = comfy.text_encoders.hidream.hidream_clip(clip_l=False, clip_g=True, t5=False, llama=False, dtype_t5=None, dtype_llama=None, t5xxl_scaled_fp8=None, llama_scaled_fp8=None) + clip_target.tokenizer = comfy.text_encoders.hidream.HiDreamTokenizer + else: + clip_target.clip = sdxl_clip.SDXLRefinerClipModel + clip_target.tokenizer = sdxl_clip.SDXLTokenizer + elif te_model == TEModel.CLIP_H: + clip_target.clip = comfy.text_encoders.sd2_clip.SD2ClipModel + clip_target.tokenizer = comfy.text_encoders.sd2_clip.SD2Tokenizer + elif te_model == TEModel.T5_XXL: + if clip_type == CLIPType.SD3: + clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(clip_l=False, clip_g=False, t5=True, **t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer + elif clip_type == CLIPType.LTXV: + clip_target.clip = comfy.text_encoders.lt.ltxv_te(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.lt.LTXVT5Tokenizer + elif clip_type == CLIPType.PIXART or clip_type == CLIPType.CHROMA: + clip_target.clip = comfy.text_encoders.pixart_t5.pixart_te(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.pixart_t5.PixArtTokenizer + elif clip_type == CLIPType.WAN: + clip_target.clip = comfy.text_encoders.wan.te(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.wan.WanT5Tokenizer + tokenizer_data["spiece_model"] = clip_data[0].get("spiece_model", None) + elif clip_type == CLIPType.HIDREAM: + clip_target.clip = comfy.text_encoders.hidream.hidream_clip(**t5xxl_detect(clip_data), + clip_l=False, clip_g=False, t5=True, llama=False, dtype_llama=None, llama_scaled_fp8=None) + clip_target.tokenizer = comfy.text_encoders.hidream.HiDreamTokenizer + else: #CLIPType.MOCHI + clip_target.clip = comfy.text_encoders.genmo.mochi_te(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.genmo.MochiT5Tokenizer + elif te_model == TEModel.T5_XXL_OLD: + clip_target.clip = comfy.text_encoders.cosmos.te(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.cosmos.CosmosT5Tokenizer + elif te_model == TEModel.T5_XL: + clip_target.clip = comfy.text_encoders.aura_t5.AuraT5Model + clip_target.tokenizer = comfy.text_encoders.aura_t5.AuraT5Tokenizer + elif te_model == TEModel.T5_BASE: + if clip_type == CLIPType.ACE or "spiece_model" in clip_data[0]: + clip_target.clip = comfy.text_encoders.ace.AceT5Model + clip_target.tokenizer = comfy.text_encoders.ace.AceT5Tokenizer + tokenizer_data["spiece_model"] = clip_data[0].get("spiece_model", None) + else: + clip_target.clip = comfy.text_encoders.sa_t5.SAT5Model + clip_target.tokenizer = comfy.text_encoders.sa_t5.SAT5Tokenizer + elif te_model == TEModel.GEMMA_2_2B: + clip_target.clip = comfy.text_encoders.lumina2.te(**llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.lumina2.LuminaTokenizer + tokenizer_data["spiece_model"] = clip_data[0].get("spiece_model", None) + elif te_model == TEModel.LLAMA3_8: + clip_target.clip = comfy.text_encoders.hidream.hidream_clip(**llama_detect(clip_data), + clip_l=False, clip_g=False, t5=False, llama=True, dtype_t5=None, t5xxl_scaled_fp8=None) + clip_target.tokenizer = comfy.text_encoders.hidream.HiDreamTokenizer + elif te_model == TEModel.QWEN25_3B: + clip_target.clip = comfy.text_encoders.omnigen2.te(**llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.omnigen2.Omnigen2Tokenizer + elif te_model == TEModel.QWEN25_7B: + if clip_type == CLIPType.HUNYUAN_IMAGE: + clip_target.clip = comfy.text_encoders.hunyuan_image.te(byt5=False, **llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.hunyuan_image.HunyuanImageTokenizer + else: + clip_target.clip = comfy.text_encoders.qwen_image.te(**llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.qwen_image.QwenImageTokenizer + else: + # clip_l + if clip_type == CLIPType.SD3: + clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(clip_l=True, clip_g=False, t5=False) + clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer + elif clip_type == CLIPType.HIDREAM: + clip_target.clip = comfy.text_encoders.hidream.hidream_clip(clip_l=True, clip_g=False, t5=False, llama=False, dtype_t5=None, dtype_llama=None, t5xxl_scaled_fp8=None, llama_scaled_fp8=None) + clip_target.tokenizer = comfy.text_encoders.hidream.HiDreamTokenizer + else: + clip_target.clip = sd1_clip.SD1ClipModel + clip_target.tokenizer = sd1_clip.SD1Tokenizer + elif len(clip_data) == 2: + if clip_type == CLIPType.SD3: + te_models = [detect_te_model(clip_data[0]), detect_te_model(clip_data[1])] + clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(clip_l=TEModel.CLIP_L in te_models, clip_g=TEModel.CLIP_G in te_models, t5=TEModel.T5_XXL in te_models, **t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer + elif clip_type == CLIPType.HUNYUAN_DIT: + clip_target.clip = comfy.text_encoders.hydit.HyditModel + clip_target.tokenizer = comfy.text_encoders.hydit.HyditTokenizer + elif clip_type == CLIPType.FLUX: + clip_target.clip = comfy.text_encoders.flux.flux_clip(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.flux.FluxTokenizer + elif clip_type == CLIPType.HUNYUAN_VIDEO: + clip_target.clip = comfy.text_encoders.hunyuan_video.hunyuan_video_clip(**llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.hunyuan_video.HunyuanVideoTokenizer + elif clip_type == CLIPType.HIDREAM: + # Detect + hidream_dualclip_classes = [] + for hidream_te in clip_data: + te_model = detect_te_model(hidream_te) + hidream_dualclip_classes.append(te_model) + + clip_l = TEModel.CLIP_L in hidream_dualclip_classes + clip_g = TEModel.CLIP_G in hidream_dualclip_classes + t5 = TEModel.T5_XXL in hidream_dualclip_classes + llama = TEModel.LLAMA3_8 in hidream_dualclip_classes + + # Initialize t5xxl_detect and llama_detect kwargs if needed + t5_kwargs = t5xxl_detect(clip_data) if t5 else {} + llama_kwargs = llama_detect(clip_data) if llama else {} + + clip_target.clip = comfy.text_encoders.hidream.hidream_clip(clip_l=clip_l, clip_g=clip_g, t5=t5, llama=llama, **t5_kwargs, **llama_kwargs) + clip_target.tokenizer = comfy.text_encoders.hidream.HiDreamTokenizer + elif clip_type == CLIPType.HUNYUAN_IMAGE: + clip_target.clip = comfy.text_encoders.hunyuan_image.te(**llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.hunyuan_image.HunyuanImageTokenizer + else: + clip_target.clip = sdxl_clip.SDXLClipModel + clip_target.tokenizer = sdxl_clip.SDXLTokenizer + elif len(clip_data) == 3: + clip_target.clip = comfy.text_encoders.sd3_clip.sd3_clip(**t5xxl_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.sd3_clip.SD3Tokenizer + elif len(clip_data) == 4: + clip_target.clip = comfy.text_encoders.hidream.hidream_clip(**t5xxl_detect(clip_data), **llama_detect(clip_data)) + clip_target.tokenizer = comfy.text_encoders.hidream.HiDreamTokenizer + + parameters = 0 + for c in clip_data: + parameters += comfy.utils.calculate_parameters(c) + tokenizer_data, model_options = comfy.text_encoders.long_clipl.model_options_long_clip(c, tokenizer_data, model_options) + + clip = CLIP(clip_target, embedding_directory=embedding_directory, parameters=parameters, tokenizer_data=tokenizer_data, model_options=model_options) + for c in clip_data: + m, u = clip.load_sd(c) + if len(m) > 0: + logging.warning("clip missing: {}".format(m)) + + if len(u) > 0: + logging.debug("clip unexpected: {}".format(u)) + return clip + +def load_gligen(ckpt_path): + data = comfy.utils.load_torch_file(ckpt_path, safe_load=True) + model = gligen.load_gligen(data) + if model_management.should_use_fp16(): + model = model.half() + return comfy.model_patcher.ModelPatcher(model, load_device=model_management.get_torch_device(), offload_device=model_management.unet_offload_device()) + +def model_detection_error_hint(path, state_dict): + filename = os.path.basename(path) + if 'lora' in filename.lower(): + return "\nHINT: This seems to be a Lora file and Lora files should be put in the lora folder and loaded with a lora loader node.." + return "" + +def load_checkpoint(config_path=None, ckpt_path=None, output_vae=True, output_clip=True, embedding_directory=None, state_dict=None, config=None): + logging.warning("Warning: The load checkpoint with config function is deprecated and will eventually be removed, please use the other one.") + model, clip, vae, _ = load_checkpoint_guess_config(ckpt_path, output_vae=output_vae, output_clip=output_clip, output_clipvision=False, embedding_directory=embedding_directory, output_model=True) + #TODO: this function is a mess and should be removed eventually + if config is None: + with open(config_path, 'r') as stream: + config = yaml.safe_load(stream) + model_config_params = config['model']['params'] + clip_config = model_config_params['cond_stage_config'] + + if "parameterization" in model_config_params: + if model_config_params["parameterization"] == "v": + m = model.clone() + class ModelSamplingAdvanced(comfy.model_sampling.ModelSamplingDiscrete, comfy.model_sampling.V_PREDICTION): + pass + m.add_object_patch("model_sampling", ModelSamplingAdvanced(model.model.model_config)) + model = m + + layer_idx = clip_config.get("params", {}).get("layer_idx", None) + if layer_idx is not None: + clip.clip_layer(layer_idx) + + return (model, clip, vae) + +def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=False, embedding_directory=None, output_model=True, model_options={}, te_model_options={}): + sd, metadata = comfy.utils.load_torch_file(ckpt_path, return_metadata=True) + out = load_state_dict_guess_config(sd, output_vae, output_clip, output_clipvision, embedding_directory, output_model, model_options, te_model_options=te_model_options, metadata=metadata) + if out is None: + raise RuntimeError("ERROR: Could not detect model type of: {}\n{}".format(ckpt_path, model_detection_error_hint(ckpt_path, sd))) + return out + +def load_state_dict_guess_config(sd, output_vae=True, output_clip=True, output_clipvision=False, embedding_directory=None, output_model=True, model_options={}, te_model_options={}, metadata=None): + clip = None + clipvision = None + vae = None + model = None + model_patcher = None + + diffusion_model_prefix = model_detection.unet_prefix_from_state_dict(sd) + parameters = comfy.utils.calculate_parameters(sd, diffusion_model_prefix) + weight_dtype = comfy.utils.weight_dtype(sd, diffusion_model_prefix) + load_device = model_management.get_torch_device() + + model_config = model_detection.model_config_from_unet(sd, diffusion_model_prefix, metadata=metadata) + if model_config is None: + logging.warning("Warning, This is not a checkpoint file, trying to load it as a diffusion model only.") + diffusion_model = load_diffusion_model_state_dict(sd, model_options={}) + if diffusion_model is None: + return None + return (diffusion_model, None, VAE(sd={}), None) # The VAE object is there to throw an exception if it's actually used' + + + unet_weight_dtype = list(model_config.supported_inference_dtypes) + if model_config.scaled_fp8 is not None: + weight_dtype = None + + model_config.custom_operations = model_options.get("custom_operations", None) + unet_dtype = model_options.get("dtype", model_options.get("weight_dtype", None)) + + if unet_dtype is None: + unet_dtype = model_management.unet_dtype(model_params=parameters, supported_dtypes=unet_weight_dtype, weight_dtype=weight_dtype) + + manual_cast_dtype = model_management.unet_manual_cast(unet_dtype, load_device, model_config.supported_inference_dtypes) + model_config.set_inference_dtype(unet_dtype, manual_cast_dtype) + + if model_config.clip_vision_prefix is not None: + if output_clipvision: + clipvision = clip_vision.load_clipvision_from_sd(sd, model_config.clip_vision_prefix, True) + + if output_model: + inital_load_device = model_management.unet_inital_load_device(parameters, unet_dtype) + model = model_config.get_model(sd, diffusion_model_prefix, device=inital_load_device) + model.load_model_weights(sd, diffusion_model_prefix) + + if output_vae: + vae_sd = comfy.utils.state_dict_prefix_replace(sd, {k: "" for k in model_config.vae_key_prefix}, filter_keys=True) + vae_sd = model_config.process_vae_state_dict(vae_sd) + vae = VAE(sd=vae_sd, metadata=metadata) + + if output_clip: + clip_target = model_config.clip_target(state_dict=sd) + if clip_target is not None: + clip_sd = model_config.process_clip_state_dict(sd) + if len(clip_sd) > 0: + parameters = comfy.utils.calculate_parameters(clip_sd) + clip = CLIP(clip_target, embedding_directory=embedding_directory, tokenizer_data=clip_sd, parameters=parameters, model_options=te_model_options) + m, u = clip.load_sd(clip_sd, full_model=True) + if len(m) > 0: + m_filter = list(filter(lambda a: ".logit_scale" not in a and ".transformer.text_projection.weight" not in a, m)) + if len(m_filter) > 0: + logging.warning("clip missing: {}".format(m)) + else: + logging.debug("clip missing: {}".format(m)) + + if len(u) > 0: + logging.debug("clip unexpected {}:".format(u)) + else: + logging.warning("no CLIP/text encoder weights in checkpoint, the text encoder model will not be loaded.") + + left_over = sd.keys() + if len(left_over) > 0: + logging.debug("left over keys: {}".format(left_over)) + + if output_model: + model_patcher = comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=model_management.unet_offload_device()) + if inital_load_device != torch.device("cpu"): + logging.info("loaded diffusion model directly to GPU") + model_management.load_models_gpu([model_patcher], force_full_load=True) + + return (model_patcher, clip, vae, clipvision) + + +def load_diffusion_model_state_dict(sd, model_options={}): + """ + Loads a UNet diffusion model from a state dictionary, supporting both diffusers and regular formats. + + Args: + sd (dict): State dictionary containing model weights and configuration + model_options (dict, optional): Additional options for model loading. Supports: + - dtype: Override model data type + - custom_operations: Custom model operations + - fp8_optimizations: Enable FP8 optimizations + + Returns: + ModelPatcher: A wrapped model instance that handles device management and weight loading. + Returns None if the model configuration cannot be detected. + + The function: + 1. Detects and handles different model formats (regular, diffusers, mmdit) + 2. Configures model dtype based on parameters and device capabilities + 3. Handles weight conversion and device placement + 4. Manages model optimization settings + 5. Loads weights and returns a device-managed model instance + """ + dtype = model_options.get("dtype", None) + + #Allow loading unets from checkpoint files + diffusion_model_prefix = model_detection.unet_prefix_from_state_dict(sd) + temp_sd = comfy.utils.state_dict_prefix_replace(sd, {diffusion_model_prefix: ""}, filter_keys=True) + if len(temp_sd) > 0: + sd = temp_sd + + parameters = comfy.utils.calculate_parameters(sd) + weight_dtype = comfy.utils.weight_dtype(sd) + + load_device = model_management.get_torch_device() + model_config = model_detection.model_config_from_unet(sd, "") + + if model_config is not None: + new_sd = sd + else: + new_sd = model_detection.convert_diffusers_mmdit(sd, "") + if new_sd is not None: #diffusers mmdit + model_config = model_detection.model_config_from_unet(new_sd, "") + if model_config is None: + return None + else: #diffusers unet + model_config = model_detection.model_config_from_diffusers_unet(sd) + if model_config is None: + return None + + diffusers_keys = comfy.utils.unet_to_diffusers(model_config.unet_config) + + new_sd = {} + for k in diffusers_keys: + if k in sd: + new_sd[diffusers_keys[k]] = sd.pop(k) + else: + logging.warning("{} {}".format(diffusers_keys[k], k)) + + offload_device = model_management.unet_offload_device() + unet_weight_dtype = list(model_config.supported_inference_dtypes) + if model_config.scaled_fp8 is not None: + weight_dtype = None + + if dtype is None: + unet_dtype = model_management.unet_dtype(model_params=parameters, supported_dtypes=unet_weight_dtype, weight_dtype=weight_dtype) + else: + unet_dtype = dtype + + manual_cast_dtype = model_management.unet_manual_cast(unet_dtype, load_device, model_config.supported_inference_dtypes) + model_config.set_inference_dtype(unet_dtype, manual_cast_dtype) + model_config.custom_operations = model_options.get("custom_operations", model_config.custom_operations) + if model_options.get("fp8_optimizations", False): + model_config.optimizations["fp8"] = True + + model = model_config.get_model(new_sd, "") + model = model.to(offload_device) + model.load_model_weights(new_sd, "") + left_over = sd.keys() + if len(left_over) > 0: + logging.info("left over keys in diffusion model: {}".format(left_over)) + return comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=offload_device) + + +def load_diffusion_model(unet_path, model_options={}): + sd = comfy.utils.load_torch_file(unet_path) + model = load_diffusion_model_state_dict(sd, model_options=model_options) + if model is None: + logging.error("ERROR UNSUPPORTED DIFFUSION MODEL {}".format(unet_path)) + raise RuntimeError("ERROR: Could not detect model type of: {}\n{}".format(unet_path, model_detection_error_hint(unet_path, sd))) + return model + +def load_unet(unet_path, dtype=None): + logging.warning("The load_unet function has been deprecated and will be removed please switch to: load_diffusion_model") + return load_diffusion_model(unet_path, model_options={"dtype": dtype}) + +def load_unet_state_dict(sd, dtype=None): + logging.warning("The load_unet_state_dict function has been deprecated and will be removed please switch to: load_diffusion_model_state_dict") + return load_diffusion_model_state_dict(sd, model_options={"dtype": dtype}) + +def save_checkpoint(output_path, model, clip=None, vae=None, clip_vision=None, metadata=None, extra_keys={}): + clip_sd = None + load_models = [model] + if clip is not None: + load_models.append(clip.load_model()) + clip_sd = clip.get_sd() + vae_sd = None + if vae is not None: + vae_sd = vae.get_sd() + + model_management.load_models_gpu(load_models, force_patch_weights=True) + clip_vision_sd = clip_vision.get_sd() if clip_vision is not None else None + sd = model.model.state_dict_for_saving(clip_sd, vae_sd, clip_vision_sd) + for k in extra_keys: + sd[k] = extra_keys[k] + + for k in sd: + t = sd[k] + if not t.is_contiguous(): + sd[k] = t.contiguous() + + comfy.utils.save_torch_file(sd, output_path, metadata=metadata) diff --git a/comfy/sd1_clip.py b/comfy/sd1_clip.py new file mode 100644 index 0000000000000000000000000000000000000000..f8a7c2a1b43c8e90645bfcef513b862b32076054 --- /dev/null +++ b/comfy/sd1_clip.py @@ -0,0 +1,693 @@ +import os + +from transformers import CLIPTokenizer +import comfy.ops +import torch +import traceback +import zipfile +from . import model_management +import comfy.clip_model +import json +import logging +import numbers +import re + +def gen_empty_tokens(special_tokens, length): + start_token = special_tokens.get("start", None) + end_token = special_tokens.get("end", None) + pad_token = special_tokens.get("pad") + output = [] + if start_token is not None: + output.append(start_token) + if end_token is not None: + output.append(end_token) + output += [pad_token] * (length - len(output)) + return output + +class ClipTokenWeightEncoder: + def encode_token_weights(self, token_weight_pairs): + to_encode = list() + max_token_len = 0 + has_weights = False + for x in token_weight_pairs: + tokens = list(map(lambda a: a[0], x)) + max_token_len = max(len(tokens), max_token_len) + has_weights = has_weights or not all(map(lambda a: a[1] == 1.0, x)) + to_encode.append(tokens) + + sections = len(to_encode) + if has_weights or sections == 0: + if hasattr(self, "gen_empty_tokens"): + to_encode.append(self.gen_empty_tokens(self.special_tokens, max_token_len)) + else: + to_encode.append(gen_empty_tokens(self.special_tokens, max_token_len)) + + o = self.encode(to_encode) + out, pooled = o[:2] + + if pooled is not None: + first_pooled = pooled[0:1].to(model_management.intermediate_device()) + else: + first_pooled = pooled + + output = [] + for k in range(0, sections): + z = out[k:k+1] + if has_weights: + z_empty = out[-1] + for i in range(len(z)): + for j in range(len(z[i])): + weight = token_weight_pairs[k][j][1] + if weight != 1.0: + z[i][j] = (z[i][j] - z_empty[j]) * weight + z_empty[j] + output.append(z) + + if (len(output) == 0): + r = (out[-1:].to(model_management.intermediate_device()), first_pooled) + else: + r = (torch.cat(output, dim=-2).to(model_management.intermediate_device()), first_pooled) + + if len(o) > 2: + extra = {} + for k in o[2]: + v = o[2][k] + if k == "attention_mask": + v = v[:sections].flatten().unsqueeze(dim=0).to(model_management.intermediate_device()) + extra[k] = v + + r = r + (extra,) + return r + +class SDClipModel(torch.nn.Module, ClipTokenWeightEncoder): + LAYERS = [ + "last", + "pooled", + "hidden", + "all" + ] + def __init__(self, device="cpu", max_length=77, + freeze=True, layer="last", layer_idx=None, textmodel_json_config=None, dtype=None, model_class=comfy.clip_model.CLIPTextModel, + special_tokens={"start": 49406, "end": 49407, "pad": 49407}, layer_norm_hidden_state=True, enable_attention_masks=False, zero_out_masked=False, + return_projected_pooled=True, return_attention_masks=False, model_options={}): # clip-vit-base-patch32 + super().__init__() + assert layer in self.LAYERS + + if textmodel_json_config is None: + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd1_clip_config.json") + if "model_name" not in model_options: + model_options = {**model_options, "model_name": "clip_l"} + + if isinstance(textmodel_json_config, dict): + config = textmodel_json_config + else: + with open(textmodel_json_config) as f: + config = json.load(f) + + te_model_options = model_options.get("{}_model_config".format(model_options.get("model_name", "")), {}) + for k, v in te_model_options.items(): + config[k] = v + + operations = model_options.get("custom_operations", None) + scaled_fp8 = None + + if operations is None: + scaled_fp8 = model_options.get("scaled_fp8", None) + if scaled_fp8 is not None: + operations = comfy.ops.scaled_fp8_ops(fp8_matrix_mult=False, override_dtype=scaled_fp8) + else: + operations = comfy.ops.manual_cast + + self.operations = operations + self.transformer = model_class(config, dtype, device, self.operations) + if scaled_fp8 is not None: + self.transformer.scaled_fp8 = torch.nn.Parameter(torch.tensor([], dtype=scaled_fp8)) + + self.num_layers = self.transformer.num_layers + + self.max_length = max_length + if freeze: + self.freeze() + self.layer = layer + self.layer_idx = None + self.special_tokens = special_tokens + + self.logit_scale = torch.nn.Parameter(torch.tensor(4.6055)) + self.enable_attention_masks = enable_attention_masks + self.zero_out_masked = zero_out_masked + + self.layer_norm_hidden_state = layer_norm_hidden_state + self.return_projected_pooled = return_projected_pooled + self.return_attention_masks = return_attention_masks + + if layer == "hidden": + assert layer_idx is not None + assert abs(layer_idx) < self.num_layers + self.set_clip_options({"layer": layer_idx}) + self.options_default = (self.layer, self.layer_idx, self.return_projected_pooled) + + def freeze(self): + self.transformer = self.transformer.eval() + #self.train = disabled_train + for param in self.parameters(): + param.requires_grad = False + + def set_clip_options(self, options): + layer_idx = options.get("layer", self.layer_idx) + self.return_projected_pooled = options.get("projected_pooled", self.return_projected_pooled) + if self.layer == "all": + pass + elif layer_idx is None or abs(layer_idx) > self.num_layers: + self.layer = "last" + else: + self.layer = "hidden" + self.layer_idx = layer_idx + + def reset_clip_options(self): + self.layer = self.options_default[0] + self.layer_idx = self.options_default[1] + self.return_projected_pooled = self.options_default[2] + + def process_tokens(self, tokens, device): + end_token = self.special_tokens.get("end", None) + if end_token is None: + cmp_token = self.special_tokens.get("pad", -1) + else: + cmp_token = end_token + + embeds_out = [] + attention_masks = [] + num_tokens = [] + + for x in tokens: + attention_mask = [] + tokens_temp = [] + other_embeds = [] + eos = False + index = 0 + for y in x: + if isinstance(y, numbers.Integral): + if eos: + attention_mask.append(0) + else: + attention_mask.append(1) + token = int(y) + tokens_temp += [token] + if not eos and token == cmp_token: + if end_token is None: + attention_mask[-1] = 0 + eos = True + else: + other_embeds.append((index, y)) + index += 1 + + tokens_embed = torch.tensor([tokens_temp], device=device, dtype=torch.long) + tokens_embed = self.transformer.get_input_embeddings()(tokens_embed, out_dtype=torch.float32) + index = 0 + pad_extra = 0 + embeds_info = [] + for o in other_embeds: + emb = o[1] + if torch.is_tensor(emb): + emb = {"type": "embedding", "data": emb} + + extra = None + emb_type = emb.get("type", None) + if emb_type == "embedding": + emb = emb.get("data", None) + else: + if hasattr(self.transformer, "preprocess_embed"): + emb, extra = self.transformer.preprocess_embed(emb, device=device) + else: + emb = None + + if emb is None: + index += -1 + continue + + ind = index + o[0] + emb = emb.view(1, -1, emb.shape[-1]).to(device=device, dtype=torch.float32) + emb_shape = emb.shape[1] + if emb.shape[-1] == tokens_embed.shape[-1]: + tokens_embed = torch.cat([tokens_embed[:, :ind], emb, tokens_embed[:, ind:]], dim=1) + attention_mask = attention_mask[:ind] + [1] * emb_shape + attention_mask[ind:] + index += emb_shape - 1 + embeds_info.append({"type": emb_type, "index": ind, "size": emb_shape, "extra": extra}) + else: + index += -1 + pad_extra += emb_shape + logging.warning("WARNING: shape mismatch when trying to apply embedding, embedding will be ignored {} != {}".format(emb.shape[-1], tokens_embed.shape[-1])) + + if pad_extra > 0: + padd_embed = self.transformer.get_input_embeddings()(torch.tensor([[self.special_tokens["pad"]] * pad_extra], device=device, dtype=torch.long), out_dtype=torch.float32) + tokens_embed = torch.cat([tokens_embed, padd_embed], dim=1) + attention_mask = attention_mask + [0] * pad_extra + + embeds_out.append(tokens_embed) + attention_masks.append(attention_mask) + num_tokens.append(sum(attention_mask)) + + return torch.cat(embeds_out), torch.tensor(attention_masks, device=device, dtype=torch.long), num_tokens, embeds_info + + def forward(self, tokens): + device = self.transformer.get_input_embeddings().weight.device + embeds, attention_mask, num_tokens, embeds_info = self.process_tokens(tokens, device) + + attention_mask_model = None + if self.enable_attention_masks: + attention_mask_model = attention_mask + + if self.layer == "all": + intermediate_output = "all" + else: + intermediate_output = self.layer_idx + + outputs = self.transformer(None, attention_mask_model, embeds=embeds, num_tokens=num_tokens, intermediate_output=intermediate_output, final_layer_norm_intermediate=self.layer_norm_hidden_state, dtype=torch.float32, embeds_info=embeds_info) + + if self.layer == "last": + z = outputs[0].float() + else: + z = outputs[1].float() + + if self.zero_out_masked: + z *= attention_mask.unsqueeze(-1).float() + + pooled_output = None + if len(outputs) >= 3: + if not self.return_projected_pooled and len(outputs) >= 4 and outputs[3] is not None: + pooled_output = outputs[3].float() + elif outputs[2] is not None: + pooled_output = outputs[2].float() + + extra = {} + if self.return_attention_masks: + extra["attention_mask"] = attention_mask + + if len(extra) > 0: + return z, pooled_output, extra + + return z, pooled_output + + def encode(self, tokens): + return self(tokens) + + def load_sd(self, sd): + return self.transformer.load_state_dict(sd, strict=False) + +def parse_parentheses(string): + result = [] + current_item = "" + nesting_level = 0 + for char in string: + if char == "(": + if nesting_level == 0: + if current_item: + result.append(current_item) + current_item = "(" + else: + current_item = "(" + else: + current_item += char + nesting_level += 1 + elif char == ")": + nesting_level -= 1 + if nesting_level == 0: + result.append(current_item + ")") + current_item = "" + else: + current_item += char + else: + current_item += char + if current_item: + result.append(current_item) + return result + +def token_weights(string, current_weight): + a = parse_parentheses(string) + out = [] + for x in a: + weight = current_weight + if len(x) >= 2 and x[-1] == ')' and x[0] == '(': + x = x[1:-1] + xx = x.rfind(":") + weight *= 1.1 + if xx > 0: + try: + weight = float(x[xx+1:]) + x = x[:xx] + except: + pass + out += token_weights(x, weight) + else: + out += [(x, current_weight)] + return out + +def escape_important(text): + text = text.replace("\\)", "\0\1") + text = text.replace("\\(", "\0\2") + return text + +def unescape_important(text): + text = text.replace("\0\1", ")") + text = text.replace("\0\2", "(") + return text + +def safe_load_embed_zip(embed_path): + with zipfile.ZipFile(embed_path) as myzip: + names = list(filter(lambda a: "data/" in a, myzip.namelist())) + names.reverse() + for n in names: + with myzip.open(n) as myfile: + data = myfile.read() + number = len(data) // 4 + length_embed = 1024 #sd2.x + if number < 768: + continue + if number % 768 == 0: + length_embed = 768 #sd1.x + num_embeds = number // length_embed + embed = torch.frombuffer(data, dtype=torch.float) + out = embed.reshape((num_embeds, length_embed)).clone() + del embed + return out + +def expand_directory_list(directories): + dirs = set() + for x in directories: + dirs.add(x) + for root, subdir, file in os.walk(x, followlinks=True): + dirs.add(root) + return list(dirs) + +def bundled_embed(embed, prefix, suffix): #bundled embedding in lora format + out_list = [] + for k in embed: + if k.startswith(prefix) and k.endswith(suffix): + out_list.append(embed[k]) + if len(out_list) == 0: + return None + + return torch.cat(out_list, dim=0) + +def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=None): + if isinstance(embedding_directory, str): + embedding_directory = [embedding_directory] + + embedding_directory = expand_directory_list(embedding_directory) + + valid_file = None + for embed_dir in embedding_directory: + embed_path = os.path.abspath(os.path.join(embed_dir, embedding_name)) + embed_dir = os.path.abspath(embed_dir) + try: + if os.path.commonpath((embed_dir, embed_path)) != embed_dir: + continue + except: + continue + if not os.path.isfile(embed_path): + extensions = ['.safetensors', '.pt', '.bin'] + for x in extensions: + t = embed_path + x + if os.path.isfile(t): + valid_file = t + break + else: + valid_file = embed_path + if valid_file is not None: + break + + if valid_file is None: + return None + + embed_path = valid_file + + embed_out = None + + try: + if embed_path.lower().endswith(".safetensors"): + import safetensors.torch + embed = safetensors.torch.load_file(embed_path, device="cpu") + else: + try: + embed = torch.load(embed_path, weights_only=True, map_location="cpu") + except: + embed_out = safe_load_embed_zip(embed_path) + except Exception: + logging.warning("{}\n\nerror loading embedding, skipping loading: {}".format(traceback.format_exc(), embedding_name)) + return None + + if embed_out is None: + if 'string_to_param' in embed: + values = embed['string_to_param'].values() + embed_out = next(iter(values)) + elif isinstance(embed, list): + out_list = [] + for x in range(len(embed)): + for k in embed[x]: + t = embed[x][k] + if t.shape[-1] != embedding_size: + continue + out_list.append(t.reshape(-1, t.shape[-1])) + embed_out = torch.cat(out_list, dim=0) + elif embed_key is not None and embed_key in embed: + embed_out = embed[embed_key] + else: + embed_out = bundled_embed(embed, 'bundle_emb.', '.string_to_param.*') + if embed_out is None: + embed_out = bundled_embed(embed, 'bundle_emb.', '.{}'.format(embed_key)) + if embed_out is None: + values = embed.values() + embed_out = next(iter(values)) + return embed_out + +class SDTokenizer: + def __init__(self, tokenizer_path=None, max_length=77, pad_with_end=True, embedding_directory=None, embedding_size=768, embedding_key='clip_l', tokenizer_class=CLIPTokenizer, has_start_token=True, has_end_token=True, pad_to_max_length=True, min_length=None, pad_token=None, end_token=None, min_padding=None, tokenizer_data={}, tokenizer_args={}): + if tokenizer_path is None: + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd1_tokenizer") + self.tokenizer = tokenizer_class.from_pretrained(tokenizer_path, **tokenizer_args) + self.max_length = tokenizer_data.get("{}_max_length".format(embedding_key), max_length) + self.min_length = tokenizer_data.get("{}_min_length".format(embedding_key), min_length) + self.end_token = None + self.min_padding = min_padding + + empty = self.tokenizer('')["input_ids"] + self.tokenizer_adds_end_token = has_end_token + if has_start_token: + self.tokens_start = 1 + self.start_token = empty[0] + if end_token is not None: + self.end_token = end_token + else: + if has_end_token: + self.end_token = empty[1] + else: + self.tokens_start = 0 + self.start_token = None + if end_token is not None: + self.end_token = end_token + else: + if has_end_token: + self.end_token = empty[0] + + if pad_token is not None: + self.pad_token = pad_token + elif pad_with_end: + self.pad_token = self.end_token + else: + self.pad_token = 0 + + self.pad_with_end = pad_with_end + self.pad_to_max_length = pad_to_max_length + + vocab = self.tokenizer.get_vocab() + self.inv_vocab = {v: k for k, v in vocab.items()} + self.embedding_directory = embedding_directory + self.max_word_length = 8 + self.embedding_identifier = "embedding:" + self.embedding_size = embedding_size + self.embedding_key = embedding_key + + def _try_get_embedding(self, embedding_name:str): + ''' + Takes a potential embedding name and tries to retrieve it. + Returns a Tuple consisting of the embedding and any leftover string, embedding can be None. + ''' + split_embed = embedding_name.split() + embedding_name = split_embed[0] + leftover = ' '.join(split_embed[1:]) + embed = load_embed(embedding_name, self.embedding_directory, self.embedding_size, self.embedding_key) + if embed is None: + stripped = embedding_name.strip(',') + if len(stripped) < len(embedding_name): + embed = load_embed(stripped, self.embedding_directory, self.embedding_size, self.embedding_key) + return (embed, "{} {}".format(embedding_name[len(stripped):], leftover)) + return (embed, leftover) + + + def tokenize_with_weights(self, text:str, return_word_ids=False, tokenizer_options={}, **kwargs): + ''' + Takes a prompt and converts it to a list of (token, weight, word id) elements. + Tokens can both be integer tokens and pre computed CLIP tensors. + Word id values are unique per word and embedding, where the id 0 is reserved for non word tokens. + Returned list has the dimensions NxM where M is the input size of CLIP + ''' + min_length = tokenizer_options.get("{}_min_length".format(self.embedding_key), self.min_length) + min_padding = tokenizer_options.get("{}_min_padding".format(self.embedding_key), self.min_padding) + + text = escape_important(text) + if kwargs.get("disable_weights", False): + parsed_weights = [(text, 1.0)] + else: + parsed_weights = token_weights(text, 1.0) + + # tokenize words + tokens = [] + for weighted_segment, weight in parsed_weights: + to_tokenize = unescape_important(weighted_segment) + split = re.split(' {0}|\n{0}'.format(self.embedding_identifier), to_tokenize) + to_tokenize = [split[0]] + for i in range(1, len(split)): + to_tokenize.append("{}{}".format(self.embedding_identifier, split[i])) + + to_tokenize = [x for x in to_tokenize if x != ""] + for word in to_tokenize: + # if we find an embedding, deal with the embedding + if word.startswith(self.embedding_identifier) and self.embedding_directory is not None: + embedding_name = word[len(self.embedding_identifier):].strip('\n') + embed, leftover = self._try_get_embedding(embedding_name) + if embed is None: + logging.warning(f"warning, embedding:{embedding_name} does not exist, ignoring") + else: + if len(embed.shape) == 1: + tokens.append([(embed, weight)]) + else: + tokens.append([(embed[x], weight) for x in range(embed.shape[0])]) + #if we accidentally have leftover text, continue parsing using leftover, else move on to next word + if leftover != "": + word = leftover + else: + continue + end = 999999999999 + if self.tokenizer_adds_end_token: + end = -1 + #parse word + tokens.append([(t, weight) for t in self.tokenizer(word)["input_ids"][self.tokens_start:end]]) + + #reshape token array to CLIP input size + batched_tokens = [] + batch = [] + if self.start_token is not None: + batch.append((self.start_token, 1.0, 0)) + batched_tokens.append(batch) + for i, t_group in enumerate(tokens): + #determine if we're going to try and keep the tokens in a single batch + is_large = len(t_group) >= self.max_word_length + if self.end_token is not None: + has_end_token = 1 + else: + has_end_token = 0 + + while len(t_group) > 0: + if len(t_group) + len(batch) > self.max_length - has_end_token: + remaining_length = self.max_length - len(batch) - has_end_token + #break word in two and add end token + if is_large: + batch.extend([(t,w,i+1) for t,w in t_group[:remaining_length]]) + if self.end_token is not None: + batch.append((self.end_token, 1.0, 0)) + t_group = t_group[remaining_length:] + #add end token and pad + else: + if self.end_token is not None: + batch.append((self.end_token, 1.0, 0)) + if self.pad_to_max_length: + batch.extend([(self.pad_token, 1.0, 0)] * (remaining_length)) + #start new batch + batch = [] + if self.start_token is not None: + batch.append((self.start_token, 1.0, 0)) + batched_tokens.append(batch) + else: + batch.extend([(t,w,i+1) for t,w in t_group]) + t_group = [] + + #fill last batch + if self.end_token is not None: + batch.append((self.end_token, 1.0, 0)) + if min_padding is not None: + batch.extend([(self.pad_token, 1.0, 0)] * min_padding) + if self.pad_to_max_length and len(batch) < self.max_length: + batch.extend([(self.pad_token, 1.0, 0)] * (self.max_length - len(batch))) + if min_length is not None and len(batch) < min_length: + batch.extend([(self.pad_token, 1.0, 0)] * (min_length - len(batch))) + + if not return_word_ids: + batched_tokens = [[(t, w) for t, w,_ in x] for x in batched_tokens] + + return batched_tokens + + + def untokenize(self, token_weight_pair): + return list(map(lambda a: (a, self.inv_vocab[a[0]]), token_weight_pair)) + + def state_dict(self): + return {} + +class SD1Tokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}, clip_name="l", tokenizer=SDTokenizer, name=None): + if name is not None: + self.clip_name = name + self.clip = "{}".format(self.clip_name) + else: + self.clip_name = clip_name + self.clip = "clip_{}".format(self.clip_name) + + tokenizer = tokenizer_data.get("{}_tokenizer_class".format(self.clip), tokenizer) + setattr(self, self.clip, tokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data)) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out[self.clip_name] = getattr(self, self.clip).tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return getattr(self, self.clip).untokenize(token_weight_pair) + + def state_dict(self): + return getattr(self, self.clip).state_dict() + +class SD1CheckpointClipModel(SDClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, return_projected_pooled=False, dtype=dtype, model_options=model_options) + +class SD1ClipModel(torch.nn.Module): + def __init__(self, device="cpu", dtype=None, model_options={}, clip_name="l", clip_model=SD1CheckpointClipModel, name=None, **kwargs): + super().__init__() + + if name is not None: + self.clip_name = name + self.clip = "{}".format(self.clip_name) + else: + self.clip_name = clip_name + self.clip = "clip_{}".format(self.clip_name) + + clip_model = model_options.get("{}_class".format(self.clip), clip_model) + model_options = {**model_options, "model_name": self.clip} + setattr(self, self.clip, clip_model(device=device, dtype=dtype, model_options=model_options, **kwargs)) + + self.dtypes = set() + if dtype is not None: + self.dtypes.add(dtype) + + def set_clip_options(self, options): + getattr(self, self.clip).set_clip_options(options) + + def reset_clip_options(self): + getattr(self, self.clip).reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs = token_weight_pairs[self.clip_name] + out = getattr(self, self.clip).encode_token_weights(token_weight_pairs) + return out + + def load_sd(self, sd): + return getattr(self, self.clip).load_sd(sd) diff --git a/comfy/sd1_clip_config.json b/comfy/sd1_clip_config.json new file mode 100644 index 0000000000000000000000000000000000000000..3ba8c6b5bc3d6389fb6c9e2c8231729ad9d663a4 --- /dev/null +++ b/comfy/sd1_clip_config.json @@ -0,0 +1,25 @@ +{ + "_name_or_path": "openai/clip-vit-large-patch14", + "architectures": [ + "CLIPTextModel" + ], + "attention_dropout": 0.0, + "bos_token_id": 0, + "dropout": 0.0, + "eos_token_id": 49407, + "hidden_act": "quick_gelu", + "hidden_size": 768, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_norm_eps": 1e-05, + "max_position_embeddings": 77, + "model_type": "clip_text_model", + "num_attention_heads": 12, + "num_hidden_layers": 12, + "pad_token_id": 1, + "projection_dim": 768, + "torch_dtype": "float32", + "transformers_version": "4.24.0", + "vocab_size": 49408 +} diff --git a/comfy/sd1_tokenizer/merges.txt b/comfy/sd1_tokenizer/merges.txt new file mode 100644 index 0000000000000000000000000000000000000000..76e821f1b6f0a9709293c3b6b51ed90980b3166b --- /dev/null +++ b/comfy/sd1_tokenizer/merges.txt @@ -0,0 +1,48895 @@ +#version: 0.2 +i n +t h +a n +r e +a r +e r +th e +in g +o u +o n +s t +o r +e n +o n +a l +a t +e r +i t +i n +t o +r o +i s +l e +i c +a t +an d +e d +o f +c h +o r +e s +i l +e l +s t +a c +o m +a m +l o +a n +a y +s h +r i +l i +t i +f or +n e +ð Ł +r a +h a +d e +o l +v e +s i +u r +a l +s e +' s +u n +d i +b e +l a +w h +o o +d ay +e n +m a +n o +l e +t o +ou r +i r +g h +w it +i t +y o +a s +s p +th is +t s +at i +yo u +wit h +a d +i s +a b +l y +w e +th e +t e +a s +a g +v i +p p +s u +h o +m y +. . +b u +c om +s e +er s +m e +m e +al l +c on +m o +k e +g e +ou t +en t +c o +f e +v er +a r +f ro +a u +p o +c e +gh t +ar e +s s +fro m +c h +t r +ou n +on e +b y +d o +t h +w or +er e +k e +p ro +f or +d s +b o +t a +w e +g o +h e +t er +in g +d e +b e +ati on +m or +a y +e x +il l +p e +k s +s c +l u +f u +q u +v er +ðŁ ĺ +j u +m u +at e +an d +v e +k ing +m ar +o p +h i +.. . +p re +a d +r u +th at +j o +o f +c e +ne w +a m +a p +g re +s s +d u +no w +y e +t ing +y our +it y +n i +c i +p ar +g u +f i +a f +p er +t er +u p +s o +g i +on s +g r +g e +b r +p l +' t +m i +in e +we e +b i +u s +sh o +ha ve +to day +a v +m an +en t +ac k +ur e +ou r +â Ģ +c u +l d +lo o +i m +ic e +s om +f in +re d +re n +oo d +w as +ti on +p i +i r +th er +t y +p h +ar d +e c +! ! +m on +mor e +w ill +t ra +c an +c ol +p u +t e +w n +m b +s o +it i +ju st +n ing +h ere +t u +p a +p r +bu t +wh at +al ly +f ir +m in +c a +an t +s a +t ed +e v +m ent +f a +ge t +am e +ab out +g ra +no t +ha pp +ay s +m an +h is +ti me +li ke +g h +ha s +th an +lo ve +ar t +st e +d ing +h e +c re +w s +w at +d er +it e +s er +ac e +ag e +en d +st r +a w +st or +r e +c ar +el l +al l +p s +f ri +p ho +p or +d o +a k +w i +f re +wh o +sh i +b oo +s on +el l +wh en +il l +ho w +gre at +w in +e l +b l +s si +al i +som e +ðŁ Ĵ +t on +d er +le s +p la +ï ¸ +e d +s ch +h u +on g +d on +k i +s h +an n +c or +. . +oun d +a z +in e +ar y +fu l +st u +ou ld +st i +g o +se e +ab le +ar s +l l +m is +b er +c k +w a +en ts +n o +si g +f e +fir st +e t +sp e +ac k +i f +ou s +' m +st er +a pp +an g +an ce +an s +g ood +b re +e ver +the y +t ic +com e +of f +b ack +as e +ing s +ol d +i ght +f o +h er +happ y +p ic +it s +v ing +u s +m at +h om +d y +e m +s k +y ing +the ir +le d +r y +u l +h ar +c k +t on +on al +h el +r ic +b ir +vi e +w ay +t ri +d a +p le +b ro +st o +oo l +ni ght +tr u +b a +re ad +re s +ye ar +f r +t or +al s +c oun +c la +t ure +v el +at ed +le c +en d +th ing +v o +ic i +be st +c an +wor k +la st +af ter +en ce +p ri +p e +e s +i l +âĢ ¦ +d re +y s +o ver +i es +ðŁ ij +com m +t w +in k +s un +c l +li fe +t t +a ch +l and +s y +t re +t al +p ol +s m +du c +s al +f t +' re +ch e +w ar +t ur +ati ons +ac h +m s +il e +p m +ou gh +at e +st ar +wee k +! !! +c lu +th ere +n er +t om +s el +ï¸ ı +wor ld +v es +c am +go t +in ter +of f +u m +ton ight +o ther +h ou +loo k +j e +i d +si on +be au +at t +el i +or t +re c +f f +st er +su pp +g en +be en +il y +te am +m m +i c +pe op +it t +at s +on ly +mb er +en g +b ri +m p +k now +b ur +b ar +in s +lo w +sh e +ro w +â Ŀ +t ro +peop le +vi a +lo w +ag a +be t +x t +f ac +ch ar +e ar +w al +s en +f am +b le +n ati +is h +n or +g ame +li ve +s co +le y +d on +ic k +b all +ver y +the se +p an +i a +at ing +c r +a re +g ir +ma ke +st re +sho w +. " +f l +u p +d r +than ks +il li +w om +st s +i g +s ur +ever y +c ur +vie w +le t +in to +mo st +n a +in di +g ar +ha d +s ou +v ed +an t +iti on +ma de +f ol +un i +it ed +ðŁ ı +ic al +th r +read y +ch ec +d ra +k es +boo k +e p +si c +mor ning +ne ws +c au +c t +w ell +an c +pho to +th an +or s +bir th +g g +ou t +ne xt +som e +en ing +stor y +ch ri +do wn +hom e +f fe +fre e +d a +b or +f il +ci al +than k +si de +le ar +qu e +l ine +t en +at es +ye ars +m y +pho to +beau ti +ri ght +n u +for m +shi p +b an +th er +d ays +g am +as on +g y +ðŁ İ +birth day +se t +ic k +e t +st ill +com ing +ta ke +ðŁ ĩ +b b +s ol +s on +d en +e p +mu sic +the m +de n +wh y +f oo +c ra +am az +w n +h ol +t ting +w r +u e +ma g +c ro +l an +c lo +b ra +a k +s ing +c al +re ad +' ve +jo h +b ab +d ri +b lo +bi g +er ic +in t +t or +tr y +l a +le g +hou se +m ic +v al +beauti ful +l itt +chec k +ne w +ver s +s w +ar i +pla y +h er +âĢ ĵ +w in +m a +con gr +sch ool +f un +. @ +he al +ic h +d el +wh ere +l on +ke t +tw o +mu ch +wat ch +v en +d ed +a st +k ed +b as +go ing +m p +e ver +w ays +ro o +de sig +l y +s ed +to p +l in +ch an +to o +it ing +d ent +gh ts +t y +sp o +ne ed +b lu +in st +be ing +âĿ ¤ +w el +l s +hi m +m ay +st ing +n a +el y +litt le +g a +n at +tom or +m c +h on +w ant +a ir +pi c +am eric +p er +le ss +wee k +ve l +a h +c ap +ch am +g er +ti m +tomor row +ne ss +st ate +h al +ser v +z e +o s +p at +v is +ex c +s in +f f +c ity +c en +an y +b el +su mm +t in +w ould +loo king +k o +ce le +fam ily +m er +po w +hel p +bu s +c o +c le +sel f +en s +ic s +th o +an i +ch o +le ad +b s +t wee +th ink +for e +ch il +vi de +di d +al e +ch i +v il +en ds +w ing +p as +' ll +v ol +s a +g s +man y +j ec +be fore +gra ph +n y +ur ing +w il +d d +bu il +f av +st ed +tr an +l ing +ou d +d ge +fi el +nati onal +st a +c er +w ere +in a +se ason +c ou +n ed +amaz ing +ti ons +cele br +n s +a th +he ad +s day +d ar +lo c +v in +an other +g oo +s at +n y +jo in +pre s +s es +s ing +an a +in ing +.. .. +c our +ï¸ ı +ac t +cau se +li ght +am s +t a +b al +f c +hi gh +off ici +t t +chri st +d ic +d ay +ra l +h or +: ) +vi si +n am +o b +ma s +gh t +re ally +t un +fin d +thr ough +por t +u t +ti ve +st y +n e +or e +ðŁĺ Ĥ +supp ort +ne ver +ev en +ðŁ Ķ +h a +y a +l d +u k +r an +j am +wi th +me di +d es +ne y +ch ing +al e +h y +k in +! ! +d y +pl ace +al so +b le +wh ich +bl ack +b li +s ay +par k +pl ay +ir e +vide o +week end +a il +ke y +p t +w ard +fri day +d in +ine ss +g ro +b en +al ways +t ball +ag o +m il +c y +pro duc +di sc +un der +ple ase +sp or +fu ll +e y +ðŁ Ļ +is e +iti es +c at +k no +u se +fo re +k er +ar t +hi gh +op en +s an +e f +our s +sh ed +st ri +d ro +aga in +i m +ðŁ ĵ +en jo +fu n +ge tting +p en +g er +c li +an y +ever y +e u +wom en +â ľ +e st +c ould +r y +" @ +th ou +sh a +comm un +b er +d ents +di s +wh ile +aw ay +di o +h am +g la +d ate +k a +mis s +un ch +w on +in f +roo m +g a +re al +ex per +di rec +sh ould +sp r +g ol +l ong +bet ter +or i +e y +i ence +il s +z z +h an +f ound +v s +â Ļ +po st +ti c +par t +m en +ren ce +ce ss +v ic +s il +sho p +ðŁĺ Ĥ +f ood +v al +sti c +y ou +s ays +e lec +st ar +o c +l and +i d +c tion +fiel d +s of +st art +wat er +fri ends +on es +ðŁ Į +f la +f ar +wh ite +par ty +in st +gr ou +t v +every one +m ent +j a +ch a +pr in +an ts +d uring +l at +l ar +we st +th en +k a +y oun +in sp +in te +we en +visi t +aga inst +re le +he ad +c es +to wn +loo ks +th re +re gi +ren t +pro jec +gir l +se ar +w o +m om +c ar +h un +pu bli +d i +p le +c all +c ri +u m +for d +per fe +fri end +h ard +ssi on +te st +pla ying +ar ound +be cause +ke ts +me et +sat ur +ar ti +wor k +j un +v en +r un +me mber +por t +su per +t wit +s am +el s +t ly +ad v +ati ve +at h +s ure +av ail +la r +s qu +ar ds +ev ent +m en +l l +o ver +lo gy +it al +tim es +m al +b ack +c oo +ma king +st ru +â ģ +it u +sh ar +g an +c as +s n +summ er +pic ture +f an +h in +christ mas +c y +pr oud +cham pi +desig n +pp ing +ho pe +c a +avail able +ma y +we d +photo graph +spe cial +sal e +sto p +er y +a we +al ity +hi story +am a +pre si +b ru +wor king +d one +d r +k en +fe at +w ood +ate st +sun day +mo vi +vel y +s le +f ace +sp ec +stu dents +b y +ha m +sp on +bus iness +d at +i e +i p +so ci +g lo +h and +re cor +r s +me e +ke ep +p ur +heal th +sh e +com ple +go d +da vi +col lec +li st +r a +clu b +t ers +in clu +th ings +pl an +â ĺ +joh n +sh ing +at ul +so on +blu e +g or +satur day +w on +congr atul +se e +âĿ¤ ï¸ı +tho se +ðŁĺ į +fin al +d ou +it h +o wn +ro ad +t our +a st +indi a +ti l +n d +f er +fav or +su l +lear n +fir e +ju st +grou p +a h +r ac +bo dy +u r +c are +à ¸ +p lo +o h +po s +gi ve +te ch +su b +c ent +er ing +y m +il ity +f ic +lon don +v ir +gu ys +b a +ðŁ ¤ +bab y +sc re +ðŁĺ į +tru mp +un der +chan ge +i an +col le +ss es +l er +ss ed +n ice +ann oun +pow er +s ar +a king +min i +s li +s wee +k ar +fu l +c ru +ac tion +a ther +) . +st and +de vel +a a +g an +le ft +lo l +re l +tran s +m ents +in t +e f +man ag +di g +gen er +do wn +p au +ti v +k u +th ur +k en +st on +f ans +tal k +twee t +t oo +sty le +pro te +se con +fr on +awe some +g l +p al +ne t +s or +la u +g on +sin ce +t ty +ser ies +me mor +b eli +fil m +di d +di es +o t +congratul ations +p ra +e ve +w oo +offici al +su c +in cre +b on +par t +pp ed +cla ss +si ve +bo y +cu l +perfe ct +t ou +d am +wel come +foo tball +h i +p ap +wa it +ad a +congr ats +youn g +exc ited +re ce +j an +v a +re d +st ra +medi a +' d +do es +le t +mu l +ill s +gre en +m el +to ge +fu ture +ye ster +vers ity +for m +ta in +i de +ch es +ki ds +qu i +ha ha +de ta +bi g +favor ite +gir ls +con tin +do m +sear ch +u al +a ir +d ers +mon th +c er +yester day +commun ity +ad e +do g +vil le +ic es +d eli +sy ste +ru n +is m +he art +c up +en ti +fe w +presi dent +e ds +un til +fe sti +o k +f lo +sa id +ol e +me d +tra vel + £ +ph one +toge ther +fa st +lo t +gam es +sh ir +bet ween +y es +th ers +do ing +m ac +at or +b and +fol low +projec t +devel op +di ffe +con fe +spe ci +ca st +y s +bo ard +r d +i al +sh oo +r am +ha ving +sh are +fol low +on e +n ame +m r +pu t +disc u +or y +c ame +ou s +s ite +twit ter +t b +t it +fin ally +z ed +su per +com pan +us ing +all s +li st +r is +sho t +g al +t ar +de l +joh n +âĢ Ķ +some thing +ra m +inte re +wh e +b it +ðŁ į +stre et +oun d +a i +tic kets +movi e +re al +k y +ta king +o pp +c c +l am +m oun +in ve +bl ack +us ed +on line +y or +loc al +gu e +c ks +o w +ge st +bo ys +illi on +con t +re ci +in ed +eu ro +no w +se en +p h +te ach +de f +sou th +su ch +aw ard +mu st +is su +ca re +fe el +p lu +l atest +spor ts +we b +te x +e ment +s k +fi c +w an +te ch +o t +bo x +n er +fre e +t al +a sh +c ase +ho t +won der +mee ting +er a +ch all +ðŁ IJ +jo b +il i +c ool +j our +th s +m o +f el +di e +mic ha +e le +te am +serv ice +st and +ma kes +p ing +ear ly +com es +e k +ho li +v ers +ag ue +s au +thre e +mon day +fa shi +some one +th ro +se a +b ad +supp or +tur n +ur y +m ing +photograph y +n ic +mar k +pre tty +ss ing +wat ching +me mb +ar ri +coun ty +be ach +fr an +cen ter +pol ice +b at +publi c +t an +pre ss +s af +s y +ge ts +ro y +n ers +y our +bu y +st ers +sho w +as ed +chil dre +af ric +in es +sp ace +sc ri +h all +pa in +ar ing +hom e +m ur +heal th +ch ed +s and +rece i +gu y +e a +americ an +re si +childre n +- - +i ri +ing ton +coun try +ro ss +le n +ann a +boo ks +b c +e ce +d om +lo vely +k h +pe t +g y +g ri +st age +off ice +ro ck +m on +b ay +t able +su n +m ed +th in +l or +f low +( @ +uni versity +stor e +fron t +goo d +z a +vo te +nor th +he y +an im +or der +mi d +with out +a de +re member +mar ket +? ? +mu s +tra ining +e duc +bu t +co ver +st an +sc en +b la +bre ak +l ou +s ame +g old +a in +o s +bo th +l it +ver n +a i +al bu +p a +enjo y +be g +ell ing +thur sday +inf o +s an +americ a +ha ir +te l +mar ch +con cer +colle ge +confe rence +ap p +h our +ch ang +â ļ +s our +ol s +we ather +w ar +p hi +festi val +secon d +cu te +pr ac +en er +str y +le a +pol it +s av +se n +o w +m i +ne ar +ou ght +z e +co ffe +w illi +d an +se y +davi d +e se +f an +de ci +the at +no v +ati on +tr ac +sc i +re view +c el +e m +u n +ju ly +or ig +ti on +d ru +form er +st ay +af ter +in v +too k +dat a +b al +tu es +d an +ev ening +ðŁĺĤ ðŁĺĤ +d ol +u res +pro vi +t s +e st +sig n +j ac +u k +s ong +ye t +bo w +in du +j ap +h oo +po int +any one +z y +i st +h ur +it al +buil ding +wom an +ch ur +j er +per for +co ach +le ague +ce ss +ne t +i mag +nati on +br it +qu e +aw ards +ag es +wor ks +c ed +man ce +l ate +ig n +mon ey +tru e +i i +t ell +pl ac +p ac +as y +wor ld +be hin +im port +read ing +gra m +gi ving +me t +h it +for ward +st om +pres ent +jun e +so cial +no on +mar t +hal f +s we +go vern +k er +deta ils +li sh +_ _ +ac y +si a +ber t +f all +! !!! +) , +th i +d iti +sp ort +k ing +f it +st af +c at +mu se +cen tr +y er +con tro +b loo +wal k +ac tu +did n +li m +lear ning +re search +wed ne +au th +h ours +k y +f ar +h en +.. .. +it ch +ri l +str ong +sk y +que sti +jam es +r on +d g +f ur +c in +do es +app ro +mar ke +tu res +ful ly +ch at +behin d +te m +fin i +mis sion +b att +fe el +he av +every thing +b ar +w ish +pre mi +i ma +exper ience +e ach +re port +swee t +tic s +spr ing +re spon +syste m +vic tor +l in +sa w +al ready +gh ter +f le +ã ĥ +br ing +albu m +- - +ell s +st an +to m +inter national +w ent +an ni +mat ch +pp er +st one +sm all +ra in +fashi on +are a +v an +ag ram +k o +thou ght +wor th +v an +m er +coffe e +it es +g n +arti st +c on +ar ch +c ir +se cre +gr ound +is o +h and +co m +bri dge +h s +x i +l ink +pu l +sp l +r ace +f li +ri ver +g as +di sco +d al +play er +f it +photo s +it y +o k +j or +tr a +ap ril +ad s +a di +sol u +beau ty +do or +me ss +up date +ali a +sch o +en ed +mom ent +sco t +sc ience +i or +ti es +ac ross +ous ly +sh es +does n +p age +wat er +m illion +cla ssi +l ic +ca st +form ation +micha el +ell o +s mo +in ts +vi sion +op ening +ld n +au str +tues day +win ner +po ssi +r ound +shir t +di t +b o +u es +il led +al ong +tri p +star ting +im pro +k an +per son +no t +re co +ne eds +c le +li e +re st +r ing +win ter +si mp +mo m +be er +fac e +tor s +us a +collec tion +ge or +se ssion +tr ying +la s +la ke +j en +orig in +stu dent +se cur +v in +pic s +ex pe +com p +gon na +e qu +b ad +le y +a u +memb ers +bre ak +w all +gi c +din ner +bu l +insp ir +r i +min d +ic a +win ning +tal king +t ren +s is +t en +wonder ful +s now +he ar +th om +no thing +gu i +st in +blo g +fe st +b un +le e +war ds +ch ance +dre ss +re n +pau l +p es +tech no +ru ssi +c ard +e ast +mar i +w ine +t i +la w +str ic +k i +ap e +au gu +pro fe +as h +cour se +ma il +ren tly +d un +m un +lo ve +is land +dri ve +s l +end ed +ma in +lo st +nat ure +âĿ¤ ï¸ı +ch ic +re por +p in +pr o +st ation +ce p +ta kes +compan y +go es +on d +ma ch +ra dio +d ad +ro ck +j a +p ay +champi on +e e +in de +tt a +ati c +t ab +beli eve +ener gy +z i +t at +wor d +on ce +re sul +y l +and re +an o +inst agram +clo se +t am +cu stom +w a +con om +sho ws +li fe +k in +ro b +t age +n ation +al most +list en +sa ve +re li +ac e +mar y +tre e +for get +j ack +wa iting +direc tor +h ill +bor n +te mp +f l +st e +on a +sing le +wedne sday +un ited +in o +@ _ +ne l +celebr ate +en ding +de al +j i +can ada +hu ge +tr ack +âĢ ¢ +f y +fan ta +an g +yor k +rele ase +p un +ep iso +wor ds +t our +p ack +i gh +classi c +perfor mance +ke t +after noon +recor d +win s +pro ble +âĿ ¤ +f our +b ed +ban k +d ance +s la +cal led +mi ght +a p +pa st +ðŁ ļ +diffe rent +it e +gi ft +ssi ve +chur ch +c us +pro gram +ho tel +ic e +ma d +secur ity +en ge +d c +en ough +st a +e ty +de ad +g un +he ar +m ir +hu man +gre ss +oun ds +pi ece +bre aking +gar den +fi ght +vie ws +f ish +star ted +run ning +gre en +ser i +s m +as k +d or +de ath +e conom +er i +ir d +s er +l unch +âģ ¦ +bo x +nat u +ba se +b an +f al +glo bal +wil d +wo w +out side +mo ve +le ad +an al +muse um +on g +ha w +pow er +than k +b ac +char ac +cam pa +dig ital +r o +op er +de v +w ol +p ati +f a +m ale +pap er +ill ing +c s +â ĥ +educ ation +ta ken +e ffe +m ou +s ad +" . +bas ed +staf f +inclu ding +li ving +a c +ch ina +mo b +stor m +lu ck +ph il +o o +y n +tra vel +k el +ti al +pr ice +boo k +import ant +bi o +p ool +ny c +f ab +lo ad +? ! +chall enge +cr y +ser ve +we ar +bu s +ta in +nu mber +ro r +k at +i z +th ough +ho sp +m m +fa ir +ut es +ho t +po p +fi ed +cam p +develop ment +li br +c ali +em s +âģ¦ @ +b ol +is ed +stand ing +mo del +it a +g le +bro wn +ima ge +ve red +for ce +o il +par tic +sh u +da ily +la w +se c +cla ss +cam p +holi day +cl in +k ers +pres ent +gam e +incre di +er ship +inter view +b ill +du e +and y +ab o +in nov +ke y +ac ade +p il +mo der +st ars +br and +f er +wee ks +con si +pr e +sa fe +wr it +di um +la unch +marke ting +ann ual +as si +cour t +la dy +c ted +and a +in side +chil d +opp or +sm ith +centr e +gu e +âģ © +f ren +st y +for t +ent ly +is n +ke ep +to ber +on y +bo y +al d +col la +de mo +le vel +com pet +ad o +b our +fanta stic +m ate +s u +sou th +oppor tun +vers ary +lat er +bu d +face book +la un +ster n +p it +! " +ma j +gr am +tb t +fi re +happ y +a ks +wh ole +actu ally +ill er +ell a +lo ts +al ex +an ge +lan ds +ðŁĺ Ń +en ter +r ou +episo de +p ed +in ten +sh ire +wh o +pl an +h o +ca ke +we st +mag az +fre sh +c c +n ar +ch ris +wr iting +w er +n om +l o +mi dd +dre am +o l +ti onal +de b +> > +be come +s i +gr and +all ing +hi stor +ri de +i red +saf e +que en +ci l +in tro +vi l +d ani +.. . +ar tic +st at +sh ort +or ing +sel fi +mis si +do c +b it +g all +b om +i re +se lec +d ition +ðŁĶ ¥ +fri end +be at +gh ting +ðŁĺ Ĭ +pe ace +ex hi +ant a +ab ility +il lu +j on +qu ality +tri bu +m es +play ers +fa ir +cu t +c ab +suc cess +b i +su s +pro mo +sch e +an ge +ic o +comm it +cat ch +ill a +kin d +feel ing +qu o +s ay +anni versary +spo t +mo ther +an e +p end +your self +op s +app le +min utes +p o +gr and +ri es +ha ha +care er +ed ition +de c +ric k +am i +concer t +iti ve +ge ous +d ly +t te +adv ent +i g +li ghts +ak er +sk y +âĥ £ +r ay +fini shed +w ay +s d +ac coun +ðŁĴ ķ +ck y +ch el +lit er +pain ting +lo s +st un +techno logy +n as +ma r +b il +afric a +ki e +ey es +gol f +plu s +ni a +it ec +serv ices +wed ding +kno wn +te le +.. ... +star ts +pa ren +w ants +ati onal +mon ths +win do +fav our +er t +magaz ine +ex clu +re ve +b c +origin al +e ss +n al +an ti +st ro +t ice +stu dy +à ¤ +v ac +nation al +fi ve +ra in +ve ment +u te +ver se +em er +ar my +possi ble +gue ss +val ley +ther n +cro w +m r +col or +on to +pic k +cle ar +dar k +t ac +wan ted +it ting +can cer +govern ment +di e +ri se +z ing +col d +f oun +stu dio +str ation +bro ther +a head +sh el +mic ro +ic ally +d au +sig ned +vi ol +a x +as se +i o +w re +spl ay +ch ick +augu st +pl at +ti ps +sp i +hu man +e asy +lo gi +mi ke +gro w +ag re +w w +sh ad +mo tiv +wi de +tur ns +om g +v ar +de fin +su g +j im +ðŁĶ ¥ +t d +campa ign +nam ed +re tweet +co p +t v +le av +k is +dou ble +s mar +issu e +vil la +in formation +li es +sto ck +n t +di stric +sh or +mi x +er o +se p +me x +see ing +li ve +re min +co de +g ur +s c +wil d +l un +h ood +spo t +fa ther +fore ver +up d +tra f +f ly +ne ed +gra du +tra in +ma ke +s ab +be y +si ze +lead er +tal ks +e u +lo g +fo x +gor geous +le ss +le ts +sur pri +my self +no te +li ves +f ru +lo ved +se ver +de m +j i +so c +h old +do gs +n i +â ŀ +lea ve +air port +ben ef +ex pl +shi ps +comple te +ach i +gre at +vin tage +j ack +ro c +woo d +pri v +off er +ey e +ver sion +te a +co ach +off ic +w ell +g en +s at +h h +you th +o x +? " +m t +mi x +g g +d le +natu ral +buil d +break fast +thin king +theat re +mo on +ber g +go als +geor ge +en e +exc ell +il ing +tun e +y ed +g ate +m it +net work +jo e +h ello +f b +tu be +we aring +ath le +stru c +har d +gla ss +g ers +thro w +g es +b t +indu stry +manag ement +ali st +go al +stre am +y el +a vi +ici ous +o thers +s ki +chri sti +bir d +e sc +m in +tr o +l t +j an +im p +ri ghts +sh a +or gan +cent ral +ar a +ro ll +favour ite +che ster +el se +p ay +car s +m ine +ste p +prac tice +maj or +h ang +ðŁĺ ĺ +n on +v ari +eng ine +vol un +di a +i led +arch itec +p ink +d s +th y +wa sh +web site +ba g +contro l +el li +f ra +an sw +d ence +y u +r on +ol a +g in +dr in +li c +cou ple +sp ar +g on +cre ate +c t +celebr ating +de ep +e at +te e +vo ice +dro p +vis it +at ors +sta dium +f t +w is +ro l +gra de +fam il +po ints +re pre +w as +traf fic +jap an +or g +hon or +tex as +man u +âĻ ¥ +safe ty +re r +b ag +em plo +rele ased +re gu +ak a +n av +ro le +sen ior +spec t +cro ss +lin es +be st +p ack +s in +ti e +mis sing +sun set +li ber +is ing +j ay +sk i +champion ship +ac tiv +la dies +play ed +y y +pu bl +al o +pri de +s r +pa ki +lu x +sur vi +ck ed +e ts +cho col +austr alia +par is +mi les +h at +ment al +al a +me an +mob ile +en a +in si +f ound +chi ef +t ag +incredi ble +re turn +à © +goo gle +fren ch +cre w +hal lo +ali an +j az +ch er +sil ver +nor th +eng lish +base ball +c af +lim ited +follow ing +app reci +ear th +k ir +ve mber +w ed +p tion +g ed +oc tober +fl ori +c r +en cy +ga ve +lor d +stu ff +ber ry +po st +sm ile +bro ad +st ate +gg er +me ans +ic y +gu n +y o +ma ster +bur g +han ds +ni e +/ / +uni on +brit ish +big gest +distric t +am ing +h il +o ce +per son +pas s +en vir +scho ols +arri ved +anc es +insp ired +ex pla +be n +libr ary +bo tt +am p +ste ph +cont act +b ang +m s +cali for +t old +batt le +b b +chic ago +âľ ¨ +str ate +sh i +de ce +- ) +ad d +la b +j ones +leg end +cast le +ing er +st ance +be l +ur a +re fu +lead ers +po t +se x +h ic +artic le +ki d +fr ance +x x +ex e +gui de +volun te +pr int +al i +ce o +twee ts +w x +scen e +vol u +ant i +h an +as soci +shar ing +ro se +mini ster +sh er +in ste +cle an +demo cr +po ster +sk in +p sy +pro per +cra zy +i am +o re +in i +any thing +po d +mo ving +cl ick +ex plo +com b +cra ft +f i +bloo d +is ra +publ ic +d ent +ol ym +eng land +a si +ch er +fac t +envir on +har ry +g one +me dic +enjo ying +just ice +j r +indi an +wi fe +s ound +t es +dra wing +p al +ide a +cr it +ju li +il er +war m +cl ar +thou ghts +def en +coun cil +intro duc +di ed +jan u +an i +s end +li er +m l +intere sting +tra de +win d +b ay +s ac +anc y +sour ce +b es +org ani +ar ly +lar ge +ff ici +ta g +u t +de sp +o es +tit le +sy m +pic tures +op en +wom en +sho wing +ri a +le ast +lead ership +cur rent +elec tr +val ent +list ening +c key +gener al +de ser +du ce +; ) +c ent +ðŁĺį ðŁĺį +sco tt +po or +selfi e +ev ents +i on +wr ong +de v +h ill +sep te +cul ture +l ine +sor ry +s ent +si ster +ce pt +k ri +no vember +ar i +announ ce +z ation +br an +g ent +d u +l en +per s +f m +mart in +o p +e mb +om e +midd le +suc cess +pe ter +janu ary +f lu +rac ing +d av +bi ke +ðŁı » +pe t +shoo t +profe ssi +feat uring +septe mber +now playing +sta ur +z a +on ic +qu ick +bas ke +spe aking +mil it +z er +chick en +b ell +s ad +co ast +lo ving +y ers +d j +pan el +ver age +s wit +ic ks +b ou +califor nia +s am +paren ts +er o +k illed +ph ys +jo bs +mi gr +an th +e mo +hallo ween +and er +c m +compet ition +e ag +s ket +sp ir +may be +exclu sive +app e +jour ney +scre en +for d +i o +h ate +u g +sou l +her o +soci ety +sy n +gu it +n h +d j +as es +im pre +ti me +sal es +d d +f ts +summ it +stun ning +om s +tur ned +cle an +sof t +be at +re staur +de red +en ces +ma gic +di o +sh ine +gu est +health y +exhi b +stor ies +po pu +n is +el a +bel ow +fun ny +resul ts +s ne +cur rently +ar d +down load +f light +m al +f ine +p ad +ch u +ent ed +h at +ðŁij ı +ste ve +j o +mar k +r at +b all +p c +p on +b by +o li +ar ts +as ure +bow l +att ack +mi c +de ar +ran ge +en ter +chocol ate +br illi +ac cess +, " +? ?? +ch ap +con st +t n +mat ter +blu e +gall ery +em p +work shop +lead ing +y ours +baske tball +w anna +th u +_ _ +mar ri +sle ep +bi a +ch e +ma d +imp act +o wn +si r +chan nel +euro pe +e sp +k itch +hosp ital +w ra +roy al +f s +ne u +qu ar +ne y +ac ks +ch ase +pp y +st al +at ely +ti m +dece mber +r are +per form +cre am +we ight +ch oo +ni ght +ha ven +fr anc +kh an +buil t +hel ping +tru st +ty pe +gol den +ta x +s now +s wi +di sa +questi ons +ve y +li ght +c n +cl oud +thom as +ag ed +sh ou +te ams +gr an +re ason +a a +you tube +v p +pi zz +manag er +bur y +cre dit +tre at +ma x +i k +ma in +g ing +de ad +pro bab +ye ah +ã Ĥ +br and +so li +pl ant +ta yl +gir l +ðŁĺ Ń +nam ent +au to +mess age +ko re +n ur +ter r +ag u +ma p +sen ting +lo ves +gi ves +g ab +z en +ro bert +con fir +w ars +o m +sta in +cam era +and er +won der +a b +ca p +s old +su it +wal king +contin ue +effe c +dau ghter +d anc +cha in +mul ti +ki d +y an +champi on +v o +ta ins +ho st +min i +mis sed +re sc +ly n +fin ish +del icious +s as +tayl or +i b +pro mis +produc ts +moun tain +flori da +regi ster +tre at +rec ent +fe male +boo th +mat t +ve hic +s op +mo tor +suppor ting +phi c +ex tre +dr ink +lan e +th ird +p s +con stru +ce re +far m +ðŁİ ī +tu red +ðŁij ī +c ats +a j +gi e +shoo ting +as ked +paki stan +am e +m b +g il +leg al +squ are +in vol +dra w +oo oo +!! !! +opportun ity +p y +e i +b ts +teach er +charac ter +john son +br on +ly wood +ch ine +c ing +c ine +d ge +gam ing +russi a +ci a +quo te +ric h +go v +flow ers +sp iri +st in +grow th +ðŁı ¼ +comm er +j uni +mu m +r an +s na +a ren +c b +ac tor +col or +si t +pa ir +ch i +bo w +acade my +hel d +r ang +me tal +y l +ac tive +probab ly +t ch +need ed +spe e +cho ice +ital y +ry an +ðŁĩ º +flow er +v it +m n +found ation +b ak +si ons +ne igh +f loo +he ard +re mo +fre sh +ing ing +re f +to wn +cl ou +je sus +spiri t +cou ldn +z es +ðŁĴ Ļ +willi ams +pro ce +moder n +pro cess +sho es +cre ated +tri c +issu es +ann e +att en +de but +h r +n it +sti g +a po +e ps +z u +ã Ģ +si x +car ds +lan gu +fam ous +tour nament +se l +e bay +y n +st on +k ick +announ ced +k am +vo c +brilli ant +hou se +che ese +war ri +mus ic +ho ckey +ðŁĺĤ ðŁĺĤ +sk ills +au tom +smar t +med ical +mon y +e x +gu ar +gi ve +pers onal +ven tion +al li +pre ss +flo or +m c +victor y +hi m +simp le +th or +ðŁĩº ðŁĩ +ta il +lu cky +ale x +qu ite +bo t +ssi ons +chall eng +c ann +amaz on +h ell +b ought +) : +ed y +secre t +produc tion +inde pend +de fe +ad ded +p r +p ag +be d +gre atest +with in +j ay +ðŁ ¥ +ire land +re ly +s d +te xt +dri ving +pro gram +spe ed +col um +str on +à © +fore st +â ĸ +mach ine +co in +sc ar +oun t +bi e +¡ ï¸ı +por tra +comm on +wre st +recei ved +kno w +inve st +pl ans +ac cor +ad op +ter y +re ali +p p +k al +art work +me an +go d +inste ad +an ci +motiv ation +as ing +inspir ation +up coming +polit ical +euro pe +m ers +heav y +ðŁij į +fe bru +scot land +ou gh +b t +bo ss +sche du +spe ak +n ick +u red +in o +e k +ri sk +tor y +pres ents +b on +ru g +st ates +exhib ition +il o +m ill +br ought +: -) +tou ri +com e +offici ally +champi ons +do ors +re p +po se +ex tra +k ings +soc cer +squ ad +app lic +at a +some times +t ari +excell ent +ðŁĺ ĺ +stra ight +car ol +ri p +âĢ į +gra phic +m ol +elec tion +febru ary +as ons +l i +di r +m t +n ick +u su +m rs +com ics +inst itu +cor por +v i +ðŁĻ ı +tu ral +di se +ac ci +we are +am ong +sho pping +t ill +wh at +cha ir +sp an +chine se +innov ation +jo y +k it +cent ury +ob ama +ph ili +f c +re ach +c iti +ul ous +n on +d ang +happ ening +bur n +p el +or ange +d v +k ick +cla im +ing ham +ph y +no v +pod cast +wh i +ni ghts +ear lier +be ar +la h +exc iting +or a +gi ven +s lo +memor ies +contin ues +produc t +gh o +c d +kno ws +ðŁİ ī +publi shed +discu ss +y ard +i phone +tri es +w all +fe b +are n +tru th +win ners +tu re +diti onal +milit ary +proble m +m and +do g +lo ss +c ric +can adi +ve ter +villa ge +" , +y r +un g +don ald +ag ing +bir ds +sci enti +le s +th is +regi on +tic al +itt en +il a +ðŁĺ İ +d ad +di am +abo ve +st ren +li t +p ir +la b +fo cus +bus y +d ur +app ly +s ma +auth or +ac i +exe cu +dom in +re la +jack son +at o +wash ington +ðŁĻ Į +k ill +popu lar +ce ment +ro ad +e ating +loc ation +v ent +ar re +n an +cu sto +advent ure +or din +spor t +ul t +lo ck +questi on +dri ver +land sc +on i +k ins +p d +jor dan +te red +k k +a f +chil d +s p +just in +en i +s elling +z o +wh it +bo ston +partic ip +sig ning +happ ened +he at +m am +dre ams +lo ws +gra ph +the day +head ing +br o +ble ssed +vi c +ve gas +h d +in ning +ro man +and ro +den ti +u se +c it +pro gress +writ er +bo b +ff s +gro wing +b ly +aw are +ex am +sp ent +be t +sc ore +bey ond +do cu +ad el +s f +cou ra +colla bor +in c +priv ate +bo at +* * +z one +p ha +b ill +to tal +plan ning +to wards +plac es +pre view +cre ative +dam n +ide as +se ems +po ten +say ing +di splay +s w +a qu +lou is +by e +li l +e mail +we stern +ger many +ell er +re s +f ant +ment ary +de als +ric hard +jer sey +stren g +ra d +pizz a +mon d +w are +l ac +g i +ar chi +c d +yel low +rec ently +re ach +à ¹ +kitch en +desig ned +tr y +g al +restaur ant +at ure +w w +j as +l ma +ðŁij Į +pa in +av o +min ute +sch ol +ther ap +tic ket +d ry +jap an +diti ons +ter ri +sel ves +happ en +t up +ma g +cop y +sh er +free dom +f ile +speci ally +tor onto +lo ad +g ary +re y +answ er +lo y +cau ght +pri ze +u ne +fic ation +ni ger +sy d +tou ch +feat ure +jaz z +recor ds +him self +di sh +ro ber +spot ted +ma ster +wa ve +fin als +bu ll +for um +al d +re comm +ch a +a e +d oo +inst ru +tru ly +l g +in k +bro thers +de st +j im +m it +clo sed +is on +tri ed +s anta +af fe +w an +hor se +g row +camp us +rel ation +nati ve +jour n +go v +o ct +k it +b ound +part ner +re ma +crow d +! ) +c alls +ra il +qu ali +solu tion +con test +con vers +sn ap +b ase +in iti +ta x +y e +ent repre +it or +constru ction +foo d +present ed +n ings +cli mate +k m +mo del +b j +blo ck +present ation +dre am +fi x +c alling +bus ine +con gress +under stand +we b +val ue +ï¸ı âĥ£ +mex ico +it ely +ki m +char ity +ref lec +bl an +fl ying +anal y +famil ies +b and +reci pe +celebr ation +ac cep +ar y +to t +g b +intere sted +cap tain +âĻ ¥ +ti p +ab sol +bra z +inve stig +o logy +de c +tru ck +ver ing +c lear +don t +go tta +ad vis +beg ins +ma ss +de scri +blo ck +k im +davi d +son gs +memor ial +feat ures +su stain +' . +gra b +jo se +v a +con serv +se ts +man chester +fi ghting +de gre +ag a +in d +sle ep +pos ition +ha ir +sig ns +pol icy +it o +al ert +st am +sp end +w y +absol ut +d m +anim al +my ster +success ful +proble ms +ro bo +k ay +gar den +p d +may or +d ale +t ol +off ers +vis iting +friend ly +tre es +offic er +accoun t +ke vin +ðŁij į +gi ant +contin u +con su +tr act +n fl +ðŁĺ Ĭ +h q +b ility +a ar +dis ney +te en +on ed +wh ite +tra iler +de dic +al one +absolut ely +dig ital +willi am +in ation +s wa +e e +enti re +ger man +ro ll +h its +co st +st ay +th a +ali ve +accor ding +co t +liter ally +her it +re ti +haha ha +exper i +li kes +g t +ste el +__ __ +ch air +christi an +to wer +diffe rence +m d +tre ss +mi d +prin ce +afric an +fe der +foo t +car ri +ser ved +r ice +sh all +feat ured +ck er +rec ru +po e +sen se +ni fic +com edy +cont ent +f at +po sted +con tribu +tim ate +li ver +mb le +inter net +ag e +europe an +cl ing +gla d +ff ic +sc o +ak es +el le +ter min +ton y +p ale +col our +seri ous +pat ri +movi es +b m +professi onal +ad o +al u +br inging +f alls +isra el +ter m +langu age +bro ok +man n +commun ic +can not +ac ti +p he +y an +entrepre ne +tur key +log ical +lon g +ar m +ur s +work ers +ing ly +gg s +ri c +tu al +recei ve +op ens +ge ar +soci al +fe et +c king +ad ver +fin an +fe els +sp la +h r +ea ster +bra in +ã ģ +fi g +le dge +ne arly +prote ct +ma ssive +e th +aw a +ðŁĺ ģ +y rs +aware ness +defin itely +k n +imag ine +k u +syste ms +ðŁij ı +f as +li k +provi de +am o +disco ver +inf lu +ma ker +g az +fit ness +stre et +er s +te d +w c +ys is +pos itive +hel ped +que st +andre w +bra d +b in +hang ing +l ing +bri ght +se ction +ma ss +ðŁĻ Į +follow ers +ho sting +tem por +fla g +a ve +let ter +k ur +re qui +of ten +cry p +su ff +âļ ½ +russi an +treat ment +al le +ha y +l an +keep ing +hol y +power ful +pre dic +fun d +e specially +windo w +je wel +il y +ðŁĴ ľ +gener ation +app a +seri ously +o d +ðŁĺĤðŁĺĤ ðŁĺĤ +cer ti +iri sh +ðŁij Į +mi ami +be th +v ity +se cu +che f +cri me +graph y +ma x +arti sts +re volu +gu ard +spee ch +u c +upd ates +fac es +st ant +chang ed +repor ts +low er +pe ar +n c +k il +loo ked +spe aker +s f +re spect +ok ay +oce an +s itting +architec ture +tra il +se at +i ra +le g +japan ese +d am +u lar +sw im +polit ics +finan cial +ol d +mou th +at temp +de stin +fi shing +atten tion +me m +chang es +deci ded +reli gi +g in +c av +z z +ad am +ma c +wr ite +beg in +sc ul +al ter +is s +ath on +imag es +m oo +jo ined +ðŁĺ ī +âŀ ¡ï¸ı +pas sed +mu sli +h ir +lar gest +cam er +com ic +gh ted +rug by +bur gh +gg ing +te sting +pre par +lau gh +al ed +impro ve +beli ev +adv ice +sha res +he art +tur ning +s b +t el +caf e +n es +dani el +pat ter +t z +se tt +par k +c and +st ick +happ ens +bri an +ne west +e pic +ad or +ki es +war ning +anim als +custo m +ar c +di an +gol d +cor e +t f +c ity +pan ts +re ality +con fi +in ju +fo x +gu il +k new +âĺ º +cor rec +itu de +d den +. # +re duc +pas s +f on +y a +ow ner +re turns +n c +e ast +ap ol +in sur +th o +si m +juni or +be e +ang el +att le +elec tric +hor ror +cra sh +e ye +pat h +sou thern +emplo ye +ge o +t an +ha z +r ally +ðŁı » +proper ty +was n +enjo yed +gre y +g as +bre w +nor thern +hol ding +g p +ta ke +ch art +ly n +dr ama +z o +pa id +throw back +cu p +discu ssion +down town +w ill +le w +b is +t ary +bre ad +up on +r ate +teach ers +it ation +anc ed +cy cle +choo se +d c +ir an +co w +da ve +ra ise +prin cess +fa ith +- > +indu stri +sp ain +guit ar +fac ts +m n +sp en +cour te +go tt +projec ts +au di +o sc +pe ter +s and +intere st +happ iness +ven ue +sol di +surpri se +poten tial +per io +custom er +i i +g ni +manu fac +e co +bro ken +sing er +vel s +wal es +hu s +in j +f our +tal ent +d ying +mat the +fil m +jo ining +s ell +j ar +lma o +sur ger +bb c +sour ces +au stin +ni k +char les +f am +prin ci +ange l +cas h +lo t +o red +pla ys +pl ate +don e +memor y +br ings +n ba +solu tions +teach ing +gr ace +cir cu +hel ps +foun der +mar y +expl ore +de cor +par ts +ch o +inte gr +ha u +is es +pu tting +in er +r it +v y +mic hel +blu es +every day +for ms +bi o +ye ar +p in +t ter +spr ing +) ) +po t +al ing +perform ing +sh an +plan et +mus ical +head s +it alian +stru gg +âĢį âĻ +w ings +pu mp +h h +tr ou +a id +pri me +ear th +pa int +mon t +am y +bb c +fab ulous +fru it +andro id +bour ne +cere mony +enti al +? ? +deb ate +on ing +dra ft +sol ar +t x +j am +cor n +!! !!! +bro o +mil k +po sed +o hi +mo vement +b ren +part ner +p g +et te +ar ies +sh out +n g +leav ing +t ells +sen s +ta ste +kel ly +wor l +gy m +ric h +e gy +pi d +ma s +â Ĥ +courte sy +fran k +incre ase +wr itten +pp ers +re l +ha i +s as +s ound +tt i +w ich +ri ver +.. ." +a g +fel low +ro me +sm all +gen cy +ic an +lux ury +pro of +me t +wild life +mom ents +ra ther +cor ner +com pe +canadi an +lik ely +therap y +li am +econom ic +indi e +rou te +fi ght +ho pe +se tting +ant ly +cro ss +fant asy +de e +sket ch +comp li +ym i +ru les +engine ering +fig ure +ro w +. , +f w +syd ney +w ou +t ation +dre w +us es +the re +sp read +struc ture +pat rick +appa rently +ro s +h ills +w we +ann y +com mission +di v +f ying +con sul +anal ysis +ex i +ten nis +vehic le +ðŁĺŃ ðŁĺŃ +as s +high ly +op ened +b ann +ðŁĴ Ļ +mp h +wi shing +v or +fi f +give away +r r +ra y +je ss +g at +ic ymi +x it +high est +yor k +pi e +invol ved +high er +ri e +mal ay +int elli +desp ite +che e +sar ah +be an +reco gni +ar sen +tal ented +pas sion +ic h +ab c +lead s +dise ase +v is +se c +pre senting +m illi +hol e +sho ts +de part +surger y +gov t +b in +du al +e vi +lon ger +ev ol +scre en +portra it +et c +lo se +ch at +p en +p i +om a +s ick +er c +compan ies +en try +plan e +gr y +ven e +liver pool +premi ere +sha red +a red +fil ms +ir a +holi days +cric ket +ici an +v ing +. ) +ul timate +di vision +con duc +se pt +for ces +mon t +s mart +disa pp +sun shine +in d +b less +ma de +col ors +fran k +ir on +bott le +s go +m ood +j ason +er ic +bir th +te en +respon se +tar get +state ment +fe ar +th el +al um +ar ab +bl in +direc tion +ste ps +er ial +wor ked +at l +ðŁĴ ķ +fel t +pol i +scen es +hom es +b ell +e at +ate ful +t in +l ace +fol ks +p se +an n +wis dom +fa v +but ter +s r +are as +sm oo +bi z +dg es +app o +mo re +the m +effe ct +windo ws +sun ny +cap ital +tot ally +c ities +gr ant +mb ers +s low +au tu +il ities +w ro +ri sing +st ics +viol ence +i gh +qu ot +h it +t c +herit age +bu ff +ne s +z ar +den tial +ex ac +ed ge +de ep +aren a +be came +benef its +mar ks +mb er +a z +am es +pre ci +dra gon +re g +d ings +do s +ðŁĴ ª +n el +s ity +me al +di st +leg end +pur chase +pic al +st ick +f at +du ba +profe ss +car to +pro f +coun tries +respon si +se qu +fa b +tribu te +hon ored +prac tic +pur ple +an ton +pa red +t ough +summ er +environ ment +s ons +ðŁĻ ı +m ps +gi es +her oes +t elling +hen ry +f en +know ledge +Ģ ï¸ı +f r +ne g +u re +ac king +hear ts +s oo +hol lywood +ju mp +sau ce +schedu le +tur n +yo ga +cre ating +c ket +cre ek +â Ń +custom ers +ma dri +gu l +asse mb +moun t +c ell +to p +st al +dav is +t wi +sig n +premi er +iti ons +he aring +un k +pati ents +app ear +heav en +al ty +doc tor +a e +plat form +je ff +ðŁĵ · +regi onal +bi d +box ing +ex ten +or ity +a w +w ise +il le +sever al +bi e +s itu +sy ria +âľ ħ +remin der +enter tain +li on +part ners +in n +ph ar +f au +pl s +expe cted +sug ar +deci sion +s b +ch ron +associ ation +leav es +vis ited +sh ap +ðŁĴ ĸ +fur ther +h ann +w i +run s +l er +fun ding +fil led +.. .... +tin y +han g +or g +co ol +se min +ðŁı Ĩ +spon s +nav y +sa int +dru g +d al +r oun +co vered +tra ditional +invest ment +de te +al ism +f low +n is +sun rise +fe at +f ted +we ird +je re +ve gan +medic ine +an o +ac cu +deli very +temp le +chang ing +wil son +phili pp +re fe +n d +is er +g ay +r and +ati ves +t ely +p and +intelli g +g are +am bas +de mon +commit tee +strate gy +refu ge +bud get +prote c +pi er +ex press +nom in +econom y +al low +ic on +gal ax +o h +indi vi +dem and +vir gin +lu ke +ali sts +man i +s mi +ju dge +ent y +mic hi +resul t +am ed +spe aks +' , +hou ston +sh in +b ing +fl y +ch em +au to +v as +ge t +ar m +thank s +d in +gan g +x x +si on +loc ated +p l +jo sh +in fo +jo ins +adver ti +ot d +el d +si e +re asons +v ent +ðŁĩºðŁĩ ¸ +â ł +convers ation +stu di +ðŁĶ¥ ðŁĶ¥ +go s +s ounds +un it +mu sc +ge l +ack ed +pac i +co s +de re +u u +a o +la m +inspir ing +ar ms +tw are +mat ters +ad dic +du de +ex t +cri sis +b ath +me et +sing h +expe ct +del hi +resc ue +wor st +au g +shi pping +ser ving +st o +dar k +ac es +histor ic +landsc ape +desig ner +b illion +gr ateful +wa ke +e ve +m iller +hou sing +dy nam +is co +be ha +sh op +pr ou +e as +a sia +e ding +k on +depart ment +aw ar +mar ine +in ci +photograph er +ta pe +lo go +r ings +d it +-- -- +vin yl +w c +vo ting +se ven +ambas sad +dal las +t u +com ment +k ra +b les +w ag +u d +au dio +stri ke +offici al +o ts +me tho +to ols +ra di +al an +hun t +wat ched +a ke +fa ke +drin king +mer ry +m l +b day +ri o +ni ke +c ant +re pe +co stu +mur der +ak ers +ch ers +ou ts +beg inning +so s +ad es +n in +not es +wro te +sol o +c i +li ghting +ur ban +bre xit +att end +shir ts +pla yo +ac tress +pl ic +stand ard +quot es +par ade +anci ent + © +tur ing +re e +pri mary +fla sh +citi z +mat es +ste in +z i +clin ton +sk in +gen e +hu m +g ar +t le +y i +fo cu +de an +pl ants +cy ber +b u +om e +ho p +ad dress +ti x +gi fts +relation ship +sub scri +fe ed +exac tly +haw ks +ex o +stre ss +s n +arre sted +an e +sof tware +z ero +the me +mu mb +im migr +mi a +make up +ple asure +uni vers +har b +eng ine +ap er +r in +br a +institu te +le ather +al th +sing ing +co s +gh ty +me as +st ic +si de +insur ance +co t +pit ch +moun tains +cri min +su pre +valent ine +at er +wou ldn +sc ale +rel ated +re gar +star tup +pack ed +mi ke +week ly +p ts +coun t +ha r +gott en +min d +ber lin +con ditions +swit ch +cor n +sa ve +g li +emer gency +tun ed +sto ck +discu ssing +every body +s day +whe ther +wrest ling +ec es +gen der +ch en +ðŁij Ģ +madri d +mar athon +e gg +i er +th x +as king +kore a +wol f +ay a +g m +g au +at ory +v r +gra ss +k illing +b ble +ur o +un i +e th +sh ore +th en +re ale +bot tom +ex erc +k ar +or ies +ad ri +san ds +se x +. ' +volunte ers +per form +par liam +inclu de +deli ghted +execu tive +fu el +kis s +ã ħ +char ge +h u +ca kes +ve t +g lu +agre e +pr ices +n au +h l +g ru +ra j +streng th +b ic +sp ending +al es +av en +b last +: ( +yo f +nor mal +si x +qu ick +se a +d aw +mee ts +lo vers +upd ated +po tat +comple ted +coo k +opportun ities +p ure +organ ic +tem per +c am +avo id +par king +duba i +and o +di stri +to y +comple tely +don ald +tri al +bas s +b oun +back ground +v as +mar vel +lu m +ru s +t ool +com missi +throw back +fin ding +is lam +! ? +st op +e vil +or al +resi dents +i denti +o ak +ðŁİ ¶ +l il +span ish +chap ter +sto pped +direc t +ho sted +pic ked +lab our +lew is +defen se +à ® +health care +wh is +mat h +pe ak +ra ised +fi x +bu ll +th ir +chel sea +fol k +tr e +can di +pau l +ei ther +ad am +poe try +jewel ry +ðŁ ¦ +pr ay +Ø § +g c +o z +wi shes +fore ign +sun g +lear ned +en e +n ing +micha el +illu stration +legend ary +w av +b au +ðŁļ ¨ +cal end +stre ets +â Ĩ +mon ster +bu ck +g r +scho ol +ba th +wa ste +ne ck +ha wa +be ach +re plac +jec t +on er +fac tory +coun t +ðŁĵ ¸ +mor gan +der ing +se an +steph en +de p +no vel +vide os +ic al +press ure +arsen al +ex pre +ir s +tren ding +ss a +fla sh +re sear +thr ough +profess or +scul p +to s +gg ed +mm a +be e +a pe +hun ter +am i +he i +pla stic +bu cks +uni verse +le gen +niger ia +ple ased +ri s +thin ks +autu mn +i ds +d is +anth ony +ðŁı ½ +ak ed +gla sses +fin ance +z er +k as +con tract +nu mbers +sh aw +partner ship +t il +laun ched +s al +victor ia +theat er +usu al +nam es +perio d +eli za +i th +bar cel +ro cks +bag s +mat e +distri bu +j on +di ffic +ali zed +cur ren +sco red +b ha +du blin +ro se +in ted +soli d +beha vi +wal ker +simp ly +garden s +head ed +in i +ohi o +we ap +f o +gl en +e state +ran dom +th under +thr u +k ill +jac ket +it i +entertain ment +thanks giving +ent al +en coura +el o +a ther +tan k +high lights +f ting +ru le +model s +bor der +bj p +hus band +in done +ken ya +be ars +al o +n inten +pi x +str o +or ders +sal ad +ro ads +n or +l ation +sop hi +ðŁı ¼ +pi eces +b one +min s +inclu des +nu tr +phi l +s ent +fun dra +ga in +bor ough +n ad +mon day +activ ity +it ems +be coming +ken ne +de tro +car di +gue sts +u x +world wide +sever e +new s +thank ful +fic tion +ve ge +m all +si an +er al +inj ury +le e +men u +danc ing +scot ti +exam ple +( # +na i +studi os +ba i +ðŁĴ Ľ +j av +diam ond +vin ce +ric k +prote ction +lin col +cham ps +appro ach +d ar +m ile +clou ds +je ff +in fin +l ers +p les +pe ace +go p +âĻ ¡ +tech n +str a +a verage +ef fort +introduc ing +di versity +austr alian +am p +boo st +s ke +pati ent +appreci ate +ici ans +pu r +f ell +woo ds +illu str +ðŁ ĸ +ag ency +ac tions +brit ain +under way +se attle +el and +ag o +f ill +stre aming +pro test +challeng es +ky o +et sy +coo king +exper t +ru ss +rain bow +commer cial +sp in +be ats +c ry +val u +el i +th row +gr ams +le vels +michi gan +c ad +ador able +const itu +w s +pu b +mid night +th at +net fli +braz il +die go +regu lar +jo y +âĤ ¬ +li qu +ea stern +k ni +fl at +n p +bro wn +w er +se y +tt ers +ac ting +v anc +cy cling +program me +ra w +comple x +tat too +throwback thursday +se ssions +ro oms +si ght +speci es +bom b +lau gh +ke eps +mo on +offic ers +con ver +t r +ha sh +t ack +ri ous +ad ap +a j +reco gn +ex po +sug ge +confir med +rol ling +dre ssing +ic t +fri day +ph ones +ri dge +con cept +ro y +ke ys +ef for +c ate +k ne +ev en +l ay +commun ities +mo d +n az +every where +al ab +bit coin +ban ks +out door +feder al +sto res +h p +c al +m ely +sig nific +be ar +re public +clo ser +al lah +pic k +x d +pal ace +ch ill +b am +er ous +un a +al len +out standing +olym pic +supp ly +fi gu +v au +l p +char lie +un es +> >> +legen ds +ici al +co ast +benef it +mul ti +f its +far mers +am ount +si sters +har ve +hon ey +que en +b ers +pl ann +âŃ IJ +m u +barcel ona +al ber +stat us +re main +ex tra +c andy +vi ous +âľ Į +o v +warri ors +-- > +ju mp +am ar +x mas +stu dies +i ors +k or +don ate +pre p +fi sh +im a +pain ted +ad mini +co splay +spor ts +dro ps +fi ghter +evi dence +ðŁĴ ª +la ke +ro b +cine ma +pro file +à ± +stan ds +leg acy +sh ape +ro of +ci vil +i ans +sy l +sh am +vo ted +re tail +ph illi +li sted +du ty +n b +th es +f are +au ction +ffici al +stor ms +d p +l oun +sh ops +al y +ani me +multi ple +ðŁĺį ðŁĺį +psy cho +je an +ap art +candi date +gg y +con f +jose ph +w ick +me at +fr ame +c l +for got +ph y +f ing +li ed +re p +se ed +f all +u fc +nu t +lin d +mo de +fiel ds +en ce +s ley +ðŁ¤ Ķ +ch ill +follow ed +announ ces +cor ru +tro phy +them selves +ac le +al du +k ong +l on +s v +bro ke +ander son +ta i +stor y +tempor ary +activ ities +k ati +ari z +cry stal +spo ke +extre mely +tra ding +ðŁĴ ļ +à ¼ +in ch +ed in +out fit +equ ip +ma di +form ed +be ef +po p +ti ger +this day +ti red +neigh b +re tro +is a +un t +t as +kan sas +de st +secon ds +ta y +hur ric +o u +galax y +dad dy +bro w +bur ger +en ced +de sk +ac cur +secre tary +el ite +k ab +ch in +touri sm +bud dy +ici de +dre ssed +u d +vac ation +che ers +com for +charac ters +j et +bu ying +l ins +n ap +reale state +li e +af c +i ii +f ame +n r +b at +ag ent +ma kers +âĢ ¼ +sec tor +op ti +le on +di et +pra yer +hi p +mi r +le x +br y +an a +pas sing +w en +reco very +ak i +po pul +res ort +mar ia +stu ck +read s +ti er +perfe c +netfli x +p oo +cham p +o c +re duce +we red +comm ents +cla im +acci dent +s ag +h ack +sal t +kin da +k iller +i os +z y +ex change +lec ture +eng er +ic king +t au +reve als +pri son +z om +gh an +u l +jour nal +i ot +tr in +jon a +govern or +cap e +quar ter +spec tive +impre ssive +bab ies +t x +m ill +o y +har ri +jo int +su e +collabor ation +tren d +revolu tion +re new +alum ni +ge tt +sh ell +sun day +ent u +ni c +donald trump +block chain +paci fic +expla ins +sp y +ad voc +par adi +to f +star ring +p av +fe ed +br ac +smo ke +ham p +y am +to kyo +si mon +d h +e ffici +phys ical +n j +ell i +s low +gradu ate +americ ans +ti fy +f red +ap ore +fin ds +rob in +we t +not ice +se mi +un ve +k om +pil ot +scre ening +da ily +ðŁĴ Ĺ +roy al +sp a +vo tes +n ag +wh ate +att ending +exper im +ad dition +k ate +sto l +m ali +foo t +chri st +ch an +de e +lic en +glo bal +mo ore +ti a +bri gh +myster y +y ay +âĿ¤ï¸ı âĿ¤ï¸ı +cre ati +me chan +clo ck +di c +âĢ Ķ +pp er +al ph +through out +al low +re sources +selec tion +ham il +bb q +aa aa +virgin ia +dis ney +en g +so red +drin ks +f ancy +consi der +end a +jan e +hand made +du l +on tari +i us +s ville +color ado +whate ver +whe el +promis e +ne ver +desig ns +ab ly +sex ual +vanc ou +at i +con vention +cul tural +sing apore +pro mo +load ed +gla sgo +pp l +n oo +ke e +ste m +men tion +i do +cru ise +ri ding +be comes +be y +âļ½ ï¸ı +tw in +dedic ated +na sh +de si +work out +jen ni +i v +grou ps +rela x +pho eni +li ft +mix ed +m ck +p c +mu st +me tro +ci es +y ar +a im +ang er +i e +rec y +marri ed +dro pped +eng ag +le st +ambassad or +op h +de s +w ick +assi stant +nat ur +fa il +l td +shor t +k ap +sha w +bi gger +rema ins +crit ical +sur vey +co verage +er son +win d +n b +bil ly +let es +ac ts +jim my +at lan +al and +t c +import ance +dam age +f g +stor age +tw t +bon d +bal ance +cr ying +pu ppy +vo te +pu sh +ðŁĴ ľ +pol y +me l +lon don +terr ori +effec tive +corpor ate +atl anta +jac o +nas a +gre ek +sen ate +i sh +ev a +intellig ence +effor ts +al co +k un +h all +di ag +claim s +fir st +h b +ba e +v ul +pu ll + ° +se par +spe ed +vic ti +on thisday +audi ence +r ates +te ach +fil ming +bu sh +son g +y um +br un +ra ine +aw a +par ks +ð Ŀ +ra bb +ra ch +ra id +reach ed +ra il +mo ves +selec ted +fr i +ra ising +om y +st ones +su k +franc isco +cas es +cap it +con fu +w tf +po ke +equip ment +gre g +ess ential +off ering +ne x +pi es +be c +cre ation +chair man +cro wn +w al +john ny +shi ft +ne ck +ban g +bir d +ðŁĺ ı +du ck +re serve +de pu +ma sters +over all +no tic +ju ice +sne ak +che er +cla sses +eag les +n ca +car pet +ci vil +coach es +har ris +u ps +b alls +dec or +mar tin +ro s +v ice +announ cement +who se +ti gers +ste red +c ts +dr am +ste el +youn g +inst all +supp o +recor ding +de ck +se ats +l der +ang le +bo t +sty les +elec tions +for tun +n ab +but ter +ari an +ka sh +in ner +ou red +be ast +we i +ic onic +exper ts +ne cess +b eng +jam es +li a +gre ece +ðŁĵ · +ðŁĺ ģ +good bye +m itch +tw ice +mumb ai +ste am +ru sh +med al +ne tt +fashi on +t ar +r s +sav ing +ric ul +l m +sleep ing +brook lyn +mis s +sen ding +disco vered +sp here +of theday +k icks +missi ons +w right +er n +ght ly +i ous +mel bourne +star tu +mo ved +car ry +d ak +ag ues +bel gi +e ma +way ne +do t +er ie +pe l +it unes +matthe w +no body +est ab +cal m +win ds +lu c +prep are +tren ds +exerc ise +adv ant +ðŁĴ ¯ +athle tics +app s +c tions +adv ance +laun ches +litt le +real donaldtrump +eliza beth +carol ina +hu b +hi dden +n w +us er +pol l +great er +mo st +f ed +p at +life style +s ati +sco res +marri age +l r +aven ue +de serve +ri f +ðŁ Ĺ +wat ch +champion ships +gr ay +en ni +cot ton +g om +whe re +pack age +su m +ab solu +new ly +foo ds +ty ler +assemb ly +musli m +ban k +re memb +op tions +produc er +land o +fun ds +u pper +shad ow +pro gre +co p +ing e +leg s +detro it +hill ary +jo se +gi ants +sou p +sustain able +t us +clo thes +roc king +n z +min ne +mat eri +bru ce +ear t +ca sting +independ ent +thou sands +ta h +de cl +veter ans +li ons +wra p +âĢ ¦ +de ss +bl ing +st ine +e ggs +o on +clo sing +z ay +at t +bac on +fa il +ariz ona +de pre +gho st +new sp +w ers +vi p +li ked +id ent +volunte er +ad ult +pu pp +cir cle +mat erial +degre e +gro wn +boo m +calend ar +su r +vie wing +ath letes +ch and +re ll +asi an +en tr +vol ley +victi ms +bo dy +m ama +trans fer +ge ek +in dic +sav ed +ma i +g ent +it s +loun ge +k ol +the ory +situ ation +is lands +ar th +z oo +floo d +vi ously +show ed +parliam ent +ch ev +el ine +at trac +ab ad +ta il +h rs +lu s +por tu +gor y +provi des +to ys +de ath +in fe +an ce +g le +li am +lo ver +hu d +dv d +reve aled +g w +re ment +ca the +l ying +ra dio +der by +stor s +che mi +hosp it +âľ ¨ +' : +ilo ve +le mon +re public +s ni +ne ss +do or +re action +pre gn +fla v +schol ar +spo tify +is ation +vis ual +aw are +spon sored +jo ke +less ons +leg is +lo ck +si mil +ðŁĺ ĭ +kin d +la y +ma h +ho ping +vancou ver +as er +clean ing +gal a +thre at +la p +ach e +ro mance +ex pen +re post +z am +e pi +mir ror +o ak +ad ul +bat man +s lu +l c +vie wed +re views +d ates +indone sia +acti vi +off en +lea f +i si +ag ricul +costu me +s ites +spir itu +appear ance +ir y +st air +applic ation +spec tac +ic ity +ski es +hand le +pun k +paradi se +t n +de al +provi ding +do c +recei ving +bre w +micro soft +à ¶ +fer r +me tro +th ail +y um +car ter +à ¡ +gent le +bre aks +coo per +show case +cu tting +egy pt +bab y +semin ar +gl ori +ss on +fa ve +re hear +lo tte +la dy +al as +pre p +deli vered +nu clear +ir o +engag ement +at ta +con ven +z an +gl ory +hol ds +busine sses +str ange +sch e +it self +gra d +mar kets +f alling +st ats +ge on +bu dd +li s +she et +thi si +co lo +deser t +regi stration +ig n +expla in +inter ior +la ws +writ ers +spr ings +k r +fri ed +blo om +inf ra +a o +cre d +pa st +line up +bo o +bre a +boo ts +celebr ity +att acks +bro ok +ev es +ex cu +cher ry +oo p +fas cin +boy friend +se as +n ine +effec ts +po wered +k ha +ðŁĺ Ģ +sh out +con dition +i j +her o +enter pri +win ter +applic ations +sho e +g el +batt le +pro grams +w art +ðŁĴ ¥ +ra p +ho l +dang erous +di a +coun ter +ric s +i or +k night +co at +emo tional +at ures +d as +whe el +fore cast +tran sport +glasgo w +king dom +prepar ing +im medi +ff in +awar ded +prin ting +ro man +fight ers +any more +bel t +p ine +win e +x i +employe es +logi es +al led +de mo +birth day +ange les +lo g +dri vers +neck lace +k ath +s it +athle te +ef s +s burg +pur pose +resi stance +rele ases +t is +vari ous +deli ver +ch al +s anc +opp o +cra w +neu ro +dr a +suppor ters +sna p +diffic ult +swe ar +logi st +pa th +attemp t +à ¥ +swim ming +ste ve +hur t +inclu ded +b ap +wa re +ðŁĴ ĭ +end ers +ja ke +le eds +cli mb +l b +im ple +li sa +clo thing +ðŁĺ İ +d t +com pla +sw ing +stra w +v als +k le +us ers +stor m +cu ts +ontari o +p an +hand some +i ow +ar gu +chec king +scotti sh +Ķ ï¸ı +si er +em ma +po d +patter n +de sh +en h +ed ward +t ing +k h +hal f +lincol n +mo ther +al leg +r c +volley ball +d n +g ay +all y +le ton +gro ve +l oud +adv anced +re spec +cli ent +supre me +thail and +ho w +gi g +to i +do t +dol lar +ðŁij ĩ +p it +r b +h n +produc ed +gg ers +âĨ Ĵ +ml b +can vas +fin eart +us d +in the +p son +actu al +s l +t b +ip ad +en sure +u mb +w d +sk a +mar s +k end +f eli +th ing +count down +absolu te +r out +dra l +p y +inju red +min t +hun ting +mm er +s age +li gh +ac ity +ex pan +mur ray +ar o +sec ure +four th +eag le +reli ef +st akes +industri al +clar k +under standing +see m +pl enty +sil ver +cla u +thre at +sa il +pro duce +ab str +is is +b r +eng ers +wor ry +bie ber +s j +just in +reali ze +ky le +esp n +fil ter +s ch +ty pes +game dev +d ing +twit ter +soldi ers +p om +car bon +y ards +child hood +ri ed +ke l +ele ph +t ons +key note +qui et +wi re +po sting +is sa +repre senting +bac ks +alex ander +celebr ates +ta ining +| | +ch or +esc ape +pe ek +ti ves +fiel d +ssi e +im pac +spons or +r c +we dd +cann ab +si des +trac ks +com par +con trac +techn ical +bi ble +expl oring +sh are +tra v +n ate +ill o +sc ru +m ingham +gun s +of the +sh ame +se es +ca tho +ac cess +ce l +repor ted + » +mari o +p ad +hope fully +ou se +y on +disapp o +ol o +p itt +pa c +ga p +cru sh +s g +k le +ge m +emp ire +dir ty +a is +avi ation +ze aland +fac ing +high way +d anny +spi der +ot ta +ðŁĺ Ħ +w y +col ours +in fl +co sts +olym pics +au s +h m +ho ward +pas ses +lau ren +mu sh +op in +r ho +disc ount +oper ation +em ily +mm m +cham ber +d il +to yo +shi p +sam u +pic tured +un ic +po l +keep er +carto on +st en +ig nor +n ations +n l +ta sting +deta il +offici als +mo tor +franc is +ed itor +ðŁij ĩ +pe ts +rang ers +t g +r n +w ri +nic hol +i se +spo ts +ani e +chec k +tri ple +ku mar +spe akers +ic ing +pre pared +ab use +friend ship +mon th +swi m +air e +sc ent +hamil ton +indi an +j es +yum my +te ars +da wn +i zed +worl ds +ðŁ ķ +b illi +st one +n hs +ba sic +p or +st le +ir on +ol der +cle vel +e ing +ðŁĺįðŁĺį ðŁĺį +prin ts +fir m +air craft +fin est +devel op +aar on +t z +gra ham +own ers +fo li +less on +qu es +bab e +cra ft +ph en +ju n +bir mingham +v ine +ll er +i an +fineart america +evol u +st ab +im per +war d +com ic +wi z +inv ited +du ke +mat ch +por ts +ro ger +diag no +ke pt +te st +vis u +r hy +so c +to x +b aker +sur face +co vers +man s +b its +x box +ff le +n an +gar d +h art +wat ers +v illa +re tro +light ning +catho lic +democr acy +neigh bor +pen n +cr an +jona than +la ura +vi bes +su b +coach ing +clear ly +uk raine +bra ve +commit ment +t all +mar t +ra p +mo di +sco tt +bro s +show er +ðŁı ¾ +âĺº ï¸ı +cou sin +appro ach +br e +com pos +hil ari +phil ly +g ad +quick ly +ri an +t m +vir tual +hou ses +k t +phoeni x +w ire +ff y +b unch +anc ing +tal e +snap chat +star ter +h t +k icking +ap art +th y +) ! +blo gger +it z +com fort +ang els +w ash +" : +ar gent +re quest +hon est +mi ghty +bo bby +k g +ro l +thou se +ex po +h c +tab les +mag ical +po sts +de m +n w +or lando +ab er +* ** +ðŁĺ ľ +environ mental +trans formation +mi le +w ic +hir ing +ma ine +bo ar +r ying +ti s +nit ure +twee ted +anton io +opin ion +fin ale +di y +f is +th in +trou ble +le go +fi les +qu art +sp a +curren cy +cli mate +fan art +rail way +sp ace +ban ds +dani el +mo tion +l eng +hol der +oc cu +mar ie +cathe dral +bu zz +bi es +nas car +bm w +bat tery +char lotte +doc tor +zz le +se ven +in san +d dy +st en +lab or +thr illed +se ren +docu mentary +wav es +cer tain +can did +allow ed +ninten do +star wars +ta p +home made +d les +ther ing +bre e +emp ty +pi ano +pos iti +coun try +por k +pu ts +per ry +m atic +spot light +ti st +or ities +we alth +c p +bar bar +commit ted +as sau +pro fit +e ight +hu l +fini shing +run ner +ss o +insp ec +char ged +christ op +lo sing +co al +ho o +ele v +de le +mo ham +don ation +c able +clin ic +j in +manag ed +ter ing +â ¬ +ur ban +depu ty +bb er +bur n +acade mic +o tt +sta ke +it er +sto wn +ack er +advent ures +ad ams +gre g +pro m +vo l +ac qu +con gre +pa int +citiz ens +c all +af ford +v c +as ks +the tic +independ ence +â Ľ +h itting +bl on +fu ture +â ı +in no +gen e +bo ards +di stance +se t +re mem +th al +pre vent +l ang +ob jec +su sp +mat t +in duc +bor o +pi one +re di +vir tu +prin ted +sco pe +shar k +suc ce +a stron +il legal +j ag +c ting +ine e +at o +rob in +nutr ition +b f +du tch +b n +fur niture +for gotten +at ar +ru p +hy per +bran ch +communic ation +degre es +on ia +un cle +promo te +or che +wi i +j s +but ton +ma jor +c bs +bri stol +premi um +ordin ary +e dit +m g +we ed +st even +: ' +gu s +te s +cap tured +dru gs +do w +wr ites +bi shop +whe els +ali zation +disco very +w r +rach el +ne il +hy dr +cu test +entreprene ur +kore an +ore gon +ul ty +perfec tly +suppor ted +histor ical +t wins +ell y +we l +de vil +in come +scienti sts +de leg +h en +on i +ic ed +gi o +cur ry +reve al +e g +buff alo +n ol +op era +camer on +haha haha +j ab +gradu ation +cra ig +r al +i f +organi zation +le ge +g ang +su d +edin burgh +l ack +fli es +g ate +thr ones +q b +the real +e leg +pp in +c les +jam ie +tn am +cryp to +ou l +p ages +a se +roo ts +stu pid +a did +boo t +prote in +s ap +si um +su s +end or +fun ction +don t +en na +ch y +squ e +wor ker +m tv +e a +k an +ðŁĴ ļ +mu s +professi on +t to +oper ations +al lo +c tor +inv ite +sc and +ou th +z im +lin ks +cli ents +sam sung +discu sses +n ell +ul tra +some where +ste wart +ine t +de z +b out +fac tor +ti an +tr ans +jere my +d b +ðŁĩ ¬ +or n +develop ing +spo l +coo per +ma u +rememb ering +tre k +famil y +sen iors +fo ster +att ended +w ing +trans form +ele mentary +hor iz +li sting +malay sia +it ch +warri or +philipp ines +russ ell +m end +initi ative +cre ep +to ps +br iti +a ur +shar p +adverti sing +ug ly +achi ev +materi als +bu g +dev ice +bon us +fac ility +col e +nh l +y as +plann ed +pol e +excell ence +tr ick +con fl +r p +achi eve +lo an +swa g +jess ica +ho we +p our +sc u +z oo +r ated +dre sses +re bel +mex ican +co ordin +me ss +atlan tic +t l +osc ar +wal ks +phar mac +investig ation +... # +cc i +eas ily +monday motivation +y ment +au ti +for ced +ar med +colle agues +pap ers +pro per +sha ke +bu c +le an +exhi bit +e vement +co tt +bi z +sp er +k ent +sw an +/ @ +girl friend +haw k +âĺ Ģï¸ı +mon o +ðŁĴ Ľ +stat ue +ðŁĺ ³ +ra s +te eth +preci ous +t ile +p am +swi ft +v ali +no se +dr unk +experi ences +come back +gen ius +wor se +sh ef +ra d +ed it +hon our +au spol +lar ry +h ire +gor don +achi evement +.... .... +su icide +alter native +su p +sur roun +sha ke +ke ith +pe pper +tur k +crimin al +be ck +su m +w alls +cn n +an tic +of fe +col li +win es +high light +hawa ii +emb ar +l fc +ðŁĩ ® +m v +> > +at mo +wor d +car l +shout out +bre wing +ì Ŀ +do f +s ic +hot test +col on +hh h +shu t +low ing +volu me +apart ment +agre ement +de stro +we e +religi ous +iow a +ro d +land ing +re present +ðŁĵ· : +la s +usu ally +h l +c ac +sal v +al ong +laugh ing +be ans +remin ds +pha se +some body +ma sk +ran ked +dest roy +sc i +âĢ¼ ï¸ı +gab ri +le o +ro a +fa iled +si l +refuge es +re vi +r ing +ber ries +coo kies +y y +conserv ation +sh ab +human s +de termin +a in +ni all +as su +mb a +fro m +extre me +vic es +commer ce +ght ful +or dered +suppor ts +re cap +v or +dro pping +correc t +pay ing +mean ing +n j +qui z +" # +busine ss +ðŁĩ® ðŁĩ +indi gen +du st +box es +bl ind +x xx +zz y +ðŁĩ¬ ðŁĩ +ss els +s ant +dd le +hilari ous +desig n +wonder ing +vehic les +k re +ju d +rece ption +par ker +Ã Ń +pri vi +hy dro +sof tball +pol lu +lo cked +ba h +e ar +scri pt +di vi +br ace +geor ge +the ast +bel o +j al +tion ary +dent al +roc ket +pur ch +sh ak +manufac turing +e z +it is +con cep +tb all +ch s +direc ted +pra yers +oo k +phil os +vari ety +che ss +ser ver +g and +bal ti +ðŁĵ ¸ +sel y +cru z +spectac ular +bur ning +re present +i z +t one +mer ce +h ell +bed room +estab li +bo l +com mon +ãĥ » +ab or +kit ty +hei ghts +re pair +willi am +qu ake +alab ama +popul ation +re v +re tt +i sts +n ite +le m +a ha +clevel and +r m +po ver +ob se +mon tre +man ia + ® +con ne +car ni +sh ah +f y +u a +sc or +strugg le +bo b +' ' +appro pri +deci de +ff ed +ca ster +s ort +hun gry +dra g +ا Ù +gr ounds +d w +sli ghtly +car din +dead line +bron ze +web in +bar ry +sil ence +e uro +op tion +ear n +ðŁĴ ĸ +howe ver +na ren +na ils +bath room +v ine +ph d +min ing +gar age +( ) +shou lder +defe at +di r +o v +liber ty +ple as +x on +com pre +a v +j in +ab les +sil ent +fam ili +vis its +di pl +ha bit +milli ons +regar ding +innov ative +sen ator +r ts +v on +k l +wh il +requi red +âĿ Ħ +lu v +presi dential +po cket +hun dre +sho wn +fro zen +to ward +fa st +confi dence +r ough +indivi dual +qu et +ðŁı ½ +dom e +fi fa +engine er +z en +re mix +ðŁĺ ĥ +pl ant +min or +robin son +as y +pul led +cer tain +potat o +( : +pre s +oc ca +w it +it em +si e +d ating +thom pson +own ed +an u +vi e +te dly +good night +ex cept +ðŁĮ Ł +ira q +ki e +ren ces +li p +simil ar +sau di +vi g +arth ur +pic ks +mil an +hon da +ma xi +o g +ste st +ar ch +analy tics +ba sti +pear l +ter ry +hor se +ast ro +ac ce +laun ching +inter national +s no +ta sty +den ver +ir l +pe te +tor n +advant age +var sity +" " +sol e +g c +lan g +demon str +ol ds +un ity +ne ts +insp ire +cre te +nash ville +nel son +e ter +wal k +hy un +m ack +tre as +see king +ra ge +bru sh +ab and +whil st +co con +h ong +shel ter +i p +possi bly +so o +it ed +â Ħ +rac es +war ming +qu in +tele vision +mat ches +ra pi +ment al +pal m +jenni fer +rol ls +indi ana +b ars +cat ching +resc u +candid ates +fa re +âł Ģ +se o +vie tnam +alph a +michel le +visi ble +re gre +wn ed +app le +li p +f fe +li z +york shire +ha il +se asons +be gan +m d +k c +la p +fascin ating +hel p +ur y +u ms +nu ts +se m +along side +bri dge +ori al +o ve +world cup +briti sh +comfor table +i ve +hot els +fair s +hor ri +so x +d ining +stre am +bar ri +ss y +w im +ter ms +v u +pe re +l ens +wal ked +r or +l ars +shi eld +dou bt +pro to +cro ssing +me ant +medi um +ad ding +e b +che ap +fun c +pap er +bran ds +ry an +feed back +col lins +un known +tro pical +sand wich +fal len +for mu +selec t +lo ads +answ ers +or i +mag a +d or +du o +ali e +dru m +ur i +de er +sou l +sh ut +âĺ º +sto len +don ated +bu zz +patri ots +ha l +na sty +nomin ated +mon te +ki a +th ri +ing u +te sts +pe tro +ðŁij ij +ho sts +ne st +to pic +pat ch +m my +hu gh +ab ilities +ma the +s miles +g b +ag enda +insi ghts +chi p +ph an +fail ure +dg ers +ha i +signific ant +sho ck +ru ral +gl am +figu res +pot us +o ta +mini stry +appe ars +fe ar +r h +americ an +h att +son y +fi res +e di +n ou +e qui +wh en +univers al +mad ness +i x +sculp ture +b ach +t to +swe den +et a +en to +develop ed +month ly +ma ps +ra h +le d +del ta +sa ints +is lam +ben ch +fif th +v ard +so cks +wel coming +j e +tur ner +v b +ad i +nor way +ad y +hurric ane +por sche +tra dition +ex am +newsp aper +lu ci +a ver +ide al +d na +madi son +ðŁ § +wit ness +ac ou +insi ght +si mon +robo t +sna ke +n bc +ac o +ro ss +sh ment +religi on +ch ann +in su +camp bell +inst alled +we ather +hor ses +ol i +rober t +k az +ðŁı Ģ +veter an +th read +quar ter +ea sier +cap ture +hi pho +law rence +roman tic +pas sion +cl ay +ox ford +th ai +stu dying +fi a +elec ted +most ly +c b +tu mb +âĢįâĻ Ĥ +x l +sh an +fa ster +ev ans +sli de +sh ri +see k +mi es +chemi stry +pump kin +tu m +, , +ro om +fi red +li ps +pres ence +af f +brew ery +arri ve +sw ag +photo graph +pen gu +chi ps +at tor +val ues +accur ate +con temporary +princi pal +cannab is +ari o +any where +gi a +democr ats +buil dings +li ved +ap s +neg ative +m are +bal lo +li on +diam on +loo k +re form +tom my +il la +tre ats +hundre ds +port land +wor thy +ex cep +ar ia +ido l +be er +cd n +y u +aw k +ðŁĩ ¨ +c ells +à ³ +ident ity +dra wn +de vil +f inger +th am +ðŁij Ĭ +ear ned +fin tech +dol ph +twee ting +evolu tion +ðŁĵ į +est im +m vp +n one +ðŁĩºðŁĩ ¸ +toyo ta +au x +mar in +b old +l bs +ste ak +mur phy +it able +lou is +sol ve +pi a +sk ir +ill ino +webin ar +ban ana +lo v +th on +vo ters +afford able +defe ated +lm fa +air lines +super b +any way +deb t +bo red +ver si +me tal +responsi ble +m k +s se +f ay +cau sed +f p +recomm end +pla za +spor ting +alli ance +au stri +n n +t ours +surpri sed +arti f +th under +sur ve +wor e +bri ef +necess ary +z ie +ash ley +dra ke +r t +kni fe +im mun +char ges +a the +bri de +rep ly +g av +broad cast +pu er +brace let +cap acity +harve st +id k +perfor man +d ding +il ers +par a +jam a +pro vince +ch in +id ers +har i +te aser +ch en +re stor +r at +fl at +col om +ðŁĴ ŀ +ðŁĩ¨ ðŁĩ +smoo th +r t +p itch +stay ing +isra eli +t cot +per spective +do ck +open er +lo vel +x o +class room +l ington +go al +kenne dy +sh am +sp aces +mitch ell +home coming +uk i +claim ed +recru it +ing o +mu fc +mon it +g roo +resi dent +per cent +per man +otta wa +int ment +an xi +stand ards +wor ship +sche me +f x +pot ter +bi an +athle tic +af gh +s se +sat ell +par ties +âĿ¤ âĿ¤ +infra structure +rela x +mo du +wor n +smo king +y ach +practic es +wc w +am b +dome stic +tay lor +k entu +provi ded +mo di +ve g +" ... +ob serv +ðŁĺ © +be ard +m our +an gry +ðŁĺ ± +startu ps +woo den +di ve +na il +anti que +ro ses +torn ado +m at +^ ^ +su spect +far m +de vices +me ga +tu l +scholar ship +ge e +disa ster +arri val +po in +mar c +kati e +bb ed +fal se +deser ves +ric hard +ju ana +fre y +tion ed +hy bri +r w +sar ah +ach i +c ure +o le +mor ris +ch ic +broad way +la bel +pa k +pover ty +gol f +e red +f u +er ies +be es +alo gue +st el +wire less +je wish +ti de +blo cked +life time +b har +sp lit +am ster +th i +jo shu +br unch +ha ps +s for +oo ps +ka poor +hi king +suppo sed +ro of +re as +tra in +ti ght +tru mp +bas ically +r r +ea red +see ds +entr ance +c p +wi e +son ic +vic tim +he re +e h +ear rings +sal mon +arc tic +an ne +dou gla +corru ption +hann ah +ha sn +vo ices +con ce +att a +fle et +clin ical +democr atic +ton y +st ood +le f +twit ch +a il +honest ly +incre ased +dro me +don na +accep ted +visit ors +ap ar +ad or +p ar +jer ry +ra i +brand on +ab u +!! !!!! +me me +in gh +glori ous +b hu +pu mp +j ol +li ke +fi sher +ma z +ag an +destin ation +play list +le tters +gen u +br ace +celebr ated +bann er +r he +dra gon +ðŁĺ ħ +sig nature +gre y +âľ Ķï¸ı +al ice +be red +ph er +ber n +ca th +ga thering +sc oring +influ ence +sm iling +de pt +lo cal +a x +ac u +reti rement +hon or +her self +chem ical +asse ss +y all +fre qu +appreci ation +ac a +cho ir +cu z +so il +c il +repor ting +u h +enterpri se +gr at +jaco b +ru m +fe e +j ak +sp in +bi kes +phi a +ste re +p is +bloo d +t att +ra ft +war ren +sh eri +back stage +mar sh +hash tag +ther ine +re in +game day +guar an +reci pes +min ds +stron ger +issu ed +bic y +n ak +ment ed +sc ary +u x +pre vious +tt le +th ats +ac tors +u ma +tin a +bun ny +promo tion +u ss +oli ver +montre al +what s +appreci ated +la kes +excu se +kno wing +pri zes +musc le +shad es +sco t +ing redi +electr onic +ju an +comb at +s ri +e h +turk ish +l om +stri kes +pri son +re e +po pe +vi d +ol dest +dol l +sw iss +certi fied +cli p +re turning +lat or +le igh +tt es +wat son +heal ing +el im +per haps +ha ss +k au +d der +mou se +new castle +indigen ous +wel comes +co le +tau ght +no ise +appe ar +jo e +can on +wedne sday +u tah +c tive +dri ven +i v +c ell +stri p +ac c +focu sed +ar rest +sto cks +wo o +â Ĺ +notic ed +shad o +di spla +ter ror +bor ne +secon d +que ens +wo ke +ja il +no tt +cam bridge +har t +se af +fa x +ac cept +âĺ ħ +goo ds +k at +t win +h s +thou sand +s ins +su ite +amp ton +ar n +rele v +ric har +hoo ps +n bc +class ic +p ab +soldi er +de plo +le ans +install ation +cla sh +le ban +ee e +ti re +belo ved +fu sion +travel ing +ne i +coo kie +glo be +phys ics +s q +co l +wol ves +d l +ex it +" - +foo tball +le af +ster ling +hi de +minne so +fresh man +natu re +indi e +supp lies +bri s +iri sh +ink tober +doo dle +ic op +mess ages +adul ts +recor ded +fix ed +ar do +offe red +under ground +dr one +p ine +ma inten +and re +ham mer +s x +r ound +hi ke +bra d +ro me +fu ll +on ey +ro ws +colum bia +archi ves +appro ved +bat ch +illino is +recogn ition +shou ldn +fo g +nca a +ke vin +human ity +al though +pow ers +p ou +s ar +pe st +alco hol +con sci +phil adel +en o +t m +ok la +cate gory +particip ate +accu sed +bri ef +po em +clu bs +consul t +ja b +big data +amster dam +ac ing +certi fic +n u +d at +impro ved +and y +campa ig +pale stin +p ace +mo bi +feel ings +wol f +bra in +pro pos +inter active +prin ce +inde x +c is +cha e +peace ful +co vering +ac o +cour ses +mon key +re place +b l +bloo dy +tal es +brigh ton +neighbor hood +g ates +spiritu al +af raid +bre ast +b ones +ðŁij ī +vide o +w au +tou ch +inju ries +car l +ri x +une x +âĢ ¢ +fre d +consi dered +thu si +an ch +on y +u sa +graph ics +ac re +ðŁĺ © +com memor +com mod +go ti +guar dian +star bucks +pre vention +haha haha +admini stration +portu gal +fac ulty +bet a +ul a +al bert +bre ath +er i +le tting +tr ic +ment ation +incredi bly +ten nes +v d +ðŁĻ Ī +ed die +br ick +gr ill +bt w +wat ches +resear chers +t ney +ni e +p as +a ster +vi br +poke mon +ch rome +go at +pitt s +il ly +festi ve +y d +can al +ðŁ Ĩ +fi es +car los +re que +partic i +tra ins +sam ple +temper ature +sym ph +pic king +in door +z ers +playo ffs +____ ____ +ap es +ly rics +islam ic +performan ces +d ick +spar k +se as +hom a +gr ound +disc i +employe e +com mu +alas ka +al an +fe ast +dg ing +ban king +manu el +slow ly +tru cks +mc car +oo o +sc rat +orche stra +indivi du +m x +bre ath +stair s +equ ality +bla ke +loc ations +cocon ut +balti more +aa a +l c +ðŁı Ĩ +har vey +resi st +immigr ation +adid as +fil i +re f +lg bt +mo s +pp i +ken ny +terr or +ban e +apol is +s g +social media +ka i +hon est +as sas +bol lywood +âĢįâĻ Ģï¸ı +ferr ari +hor n +cryp to +bo om +mainten ance +i di +s man +w l +ext ended +in sul +ve s +go sp +tr i +pi g +tar ge +cel er +st ati +sm h +ri dic +appe al +? ) +con clu +cos me +she ep +christop her +en thusi +po lish +me ts +oun ded +sustain ability +creati vity +con crete +ra i +ali en +ble ss +te es +clu b +ro t +bo s +ex ist +perfe ction +lu ck +rock y +expen sive +mean while +happy birthday +pre t +thr iller +ca ve +playo ff +som er +l u +le x +def ence +am writing +home less +pro phe +ch et +past or +ðŁ¤ £ +land er +ww w +Ģ ï¸ı +tic a +! # +o tic +rad ar +po sters +pow der +po li +ha un +tra p +bl in +assau lt +shor ts +re y +sh y +squ ir +rac ist +gar lic +fu r +remo te +sm ell +impre ssed +fing ers +âł Ģ +din o +le ment +s nu +promo ting +str ing +produc tive +b age +ma son +ra z +direc tly +j k +ev al +ðŁij Ĭ +doc tors +co w +ri der +st v +re move +w u +na than +ro d +n r += > +affe cted +inve st +mp tion +g inger +o d +agricul ture +s que +mu g +coun ting +ke e +mag nific +coo k +ani stan +roo t +plac ed +sym po +gh ana +un d +che er +thro wing +secre ts +f illing +opti mi +butter fly +bu bb +ðŁĺ ī +terri ble +d g +sil k +obse ssed +lo u +ai de +sal ute +mon u +philadel phia +scienti fic +i st +u ae +dess ert +bott les +can yon +ðŁĺ Ī +car ib +o ther +w ich +re source +guil ty +un d +le on +e ss +kan e +el e +tra iner +he im +an te +man age +roo kie +tre ated +po ses +rs vp +cau ses +aw ak +je well +le tt +on ics +tit les +cardi ff +g aga +bu mp +use ful +? ! +loo se +bb ing +: : +argent ina +de bu +cy cl +wh el +dis gu +j el +k ills +bio logy +ex ter +tra sh +bo dies +tr am +circu it +expe ct +la ds +w ells +sho t +ge e +naren dr +fa stest +b ent +b ills +mar shall +h ats +intro duce +citi zen +im possible +gi b +az z +net working +r ant +thin k +in dy +st ops +f theday +bri an +* * +amo di +dom e +coura ge +pac king +af fairs +g n +si zed +ent ary +pol and +swit zer +afgh anistan +w u +ten der +subscri be +mo sco +att end +republic an +hon ey +âĢ ĭ +si mul +we ster +foo die +or o +midd le +ab t +co pies +ma je +narendr amodi +ty pical +inspir ational +vit am +wis con +cu bs +tiv ity +h ali +e ars +k ay +d are +mari juana +cu rious +an ia +tom ato +re mind +ðŁĩ · +sc ared +cou p +po et +land ed +ri d +wra pped +mor ri +climb ing +e ws +fe eding +con tra +tho logy +gri d +ti vely +read er +la ser +di ving +di g +lat in +ti ed +shake spe +o ci +ad m +show ers +chu ck +mar cus +oo s +kne e +o live +ow l +dy lan +an no +g ym +deci sions +well ness +arri ves +sati s +chri s +thur s +ðŁ¤ £ +inter views +thank you +switzer land +over night +journ alist +ser ves +vol can +.... ... +plo t +nic ol +car rying +mag ne +tre asure +ex p +be ver +ðŁĺ ¢ +mar ty +mo le +don ations +recogni zed +b h +du s +sh ann +al do +success fully +ent e +ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ +cab inet +cu is +tit led +d as +so l +strate gies +deli vering +ad ds +ani an +ne ther +ðŁĴ ĥ +con tain +su its +pa irs +to dd +rel la +ro pe +ci o +cro p +paint ings +su z +re jec +bu st +d h +fra ud +m h +contro l +je al +destroy ed +al lows +wo ol +minneso ta +om en +j u +sympo sium +d af +lim it +accoun ts +load ing +inter n +re solution +hol land +qu al +meet ings +gra ve +cam ping +v am +re nov +liber al +am ber +gre e +hu mb +fe ver +el ing +broo ks +à ² +be th +ad ed +al t +ro e +perform ed +jo sh +frank lin +nic ole +de ss +bb s +m g +net works +min im +al t +weap ons +gu y +jas on +g ha +harb our +at on +pra ise +kentu cky +bel fast +st icks +blo ss +ho pes +an thro +famili ar +wa it +ch ile +depre ssion +la x +je ts +le ice +recei ves +si er +an k +de x +inde ed +fle xi +fab ric +lam b +hel icop +am anda +âĢĶ âĢĶ +compe te +sn ack +techno logies +sy rian +mom s +mu ham +cho sen +an at +dev on +shar ks +re t +fundra iser +selfi es +st ations +communic ations +tennes see +tu tor +ro t +valu able +dynam ic +nur se +i ed +earth quake +deser ved +a ve +sar a +stre tch +dougla s +ne pal +à § +ob viously +d ame +ra pe +any body +k w +pat rol +hol ders +h anna +info graphic +ec o +be ating +stan ley +bo ats +ri bb +e z +wit ch +inv a +ac id +boar ding +- @ +gi l +da ve +care ers +opp os +l loy +in ter +do pe +re su +j agu +sh ade +in dy +on ist +rel ations +ag en +ab le +inci dent +me ter +shar ma +id r +pro ve +immedi ately +tro ops +am an +g low +gaz a +blo cks +person al +chron ic +all er +si d +sh r +whats app +lu cy +ar chae +ho u +journ alism +our selves +go t +the med +shap ed +we ak +cas ual +leng th +sla m +ab bey +e v +coun ter +est a +reci pi +cha pel +expan sion +sel f +suff ering +sp ice +n z +sp art +desp er +boo king +quart ers +y on +ðŁĴ Ĺ +p k +continu ed +- # +man hatt +tal ked +sh en +com bo +hybri d +je ans +liqu id +se al +re tweets +ac celer +collec tive +t as +: )) +profession als +ra w +o tt +su san +ir ing +okla homa +re ven +survi val +cre ator +tran sit +st ac +sur f +i k +ed iting +ch illing +bai ley +ste al +ra ble +pa rent +hun ger +sn app +collec t +philos oph +dedic ation +c f +c m +le ep +repe at +re ha +un fortun +a er +a ero +abstr act +mon itor +ag ents +bu l +sci ence +harb or +drag ons +floo ding +ac compli +d ash +juli a +the red +tues day +cy ber +b low +ta ined +le m +refe rence +pp o +ne goti +char le +con nor +au lt +access ories +commissi oner +rain y +re ar +advis ory +luc as +ma id +co al +k av +pol o +ðŁı ¾ +tran sport +mar gare +straw berry +bur ns +gre ens +ne v +partici pants +col in +belgi um +col our +in form +d ell +br on +cal y +kick off +strate gic +re union +hon ors +li b +egy p +âŃIJ ï¸ı +hy po +si zes +regi stered +bet es +relax ing +bloo m +inten se +valent ines +insan e +w wii +p x +tri o +bla de +wiscon sin +con e +plat in +ali ze +ra ven +incre asing +indi ans +il ian +bl u +rabb it +exten sion +je f +au di +fer ry +s ell +a day +us b +swe at +cham pag +metho d +mem ph +assi st +s by +ca pe +remo ved +mag n +v t +r ams +f bi +tack le +phe w +h on +motor cycle +su spec +eleph ant +sub ject +let te +da iry +whe at +awk ward +ac t +tro l +mit ted +zay n +sheri ff +ene my +con s +ke tt +bul ls +ev alu +bt c +satell ite +ho lo +por ter +dia betes +bet ter +rele asing +sur f +: - +se basti +collec ting +en cing +e thi +go ds +al ley +health y +m ills +sma sh +co pper +cr ack +read ers +sp ac +licen se +bas ket +bang la +en tic +om i +m ere +si vely +anim ation +lan es +dent ally +chill in +fi e +k aren +dep th +li pse +n g +ri p +mel o +sand y +ðŁijı ðŁijı +vin cent +nu t +hu g +who le +cre ates +? ??? +âĿ¤ï¸ı âĿ¤ï¸ı +bak ed +up grade +rober ts +har a +carib bean +auth entic +mb s +mosco w +attor ney +wi ki +ch lo +hu ll +cor k +" ! +sty lish +ðŁĵ¸ : +di ary +impro ving +ex pand +bri ght +pollu tion +k nights +person ality +chec ked +fac ilities +z el +bow ling +gu er +ðŁİ Ĥ +on going +un its +hoo k +be ck +confl ict +to dd +far ming +educ ational +k ak +cla y +stro ke +bel ly +explo re +mill enni +th m +loo p +sm s +consi st +cir ca +br yan +d ab +youn ger +soli dar +pp a +experi enced +b ella +bo ard +shef field +steph en +consu mer +sub mit +spon sor +t ang +ag gre +comb ined +trac king +sand ers +b az +survi ve +fer red +equ al +se p +re ed +str ong +priv acy +st ap +un g +ac ry +pa sta +pir ates +ag er +fair y +du p +introduc ed +wi p +let s +spr ay +ðŁĵ º +gre w +a sts +pitts burgh +new york +jo ey +lau ren +tra de +ch op +pi pe +cla ire +behavi or +v ap +cre ws +lap top +ðŁ¤ Ĺ +che ster +disci pl +d f +out doors +k s +go ver +super star +cas ino +far mer +; -) +re turned +ðŁı Ī +ma il +roa sted +co sta +v ill +pe z +gard ening +distribu tion +sh ining +inve stors +ra sp +dec ades +reali zed +bar n +p ti +st able +ut d +pan thers +m ens +b n +ca de +bu cket +yn n +when ever +wa ke +da is +ber nie +lo dge +ju lie +atmo sphere +ðŁĺĺ ðŁĺĺ +major ity +par ti +exc it +cu t +me h +musli ms +be gun +fli ghts +vene ss +ce me +po sing +so le +g ou +dark ness +pe ach +cel tic +auth ority +grand ma +ful ness +smi th +speci fic +gar cia +co ins +good ness +aldu b +recru iting +den nis +gar y +sle eve +weap on +pl z +disco ver +harri son +recruit ment +ja i +ch im +com pared +tom s +mo thers +am y +archi ve +t ask +ben jam +se g +law yer +al um +inve sting +mi e +che z +j p +a ke +fl am +wall paper +âĻ¥ ï¸ı +t ton +che st +favor ites +we igh +coo lest +r ating +relev ant +lo gan +ma ple +run ners +pri or +peop le +ma ur +terrori st +te sted +carni val +su spen +me asure +m v +cyber security +app ren +terror ism +o z +v ital +ni es +gon z +fun ded +twi st +assess ment +die sel +en for +colum n +ad dressing +ca sts +pay ment +x ton +fi er +, ' +la st +ne e +un less +clo se +sk ill +cuis ine +fun eral +ti les +a un +k ru +relation ships +ðŁĴ ¯ +ev ent +âĢįâĻĤ ï¸ı +kind ness +pro posed +acou stic +a es +defen der +dan ce +h tt +w at +vo y +ðŁ¤ ĺ +au s +cli ff +sear ching +beauti fully +in qu +at l +speci alist +ðŁIJ ¶ +da i +tra ils +class ics +inst ant +v ous +re venue +mar ch +kir k +fr inge +fire works +tri via +âĺ ħ +tr action +wal ter +mo to +l ily +att itude +cli mb +sc an +sav ings +c w +fa ith +cred its +ab led +gra ff +auto graph +he he +ran ch +ha d +ro gers +ðŁĮ ¹ +f in +re qu +fol k +ad ditional +lyn n +u ber +dol lars +lo gic +wor th +so m +the sis +p ound +bi c +st ur +cer am +spen cer +en tered +v amp +organi zed +âľ Ī +pp s +tr on +merce des +no ti +compet itive +do w +ous ness +vic tor +gr illed +na i +pu tin +ab ra +bl ame +alex and +anim al +dec ent +p ent +inter ior +:' ) +but ler +bal let +ðŁĴ Ķ +albu ms +down s +la d +si r +pla in +p ers +blon de +dis c +paki stan +se ment +ga a +w age +ch as +man i +co ps +terr it +lo l +lau ghter +ri vers +magnific ent +lam p +w b +new sle +char ts +ble ssing +p unch +lon gest +fl oral +cu tie +fare well +sto pping +mb b +bu d +chee se +de cla +si m +mc donald +de ter +you th +t ch +fre der +kin dle +fer n +at or +as leep +p ond +spr int +p ounds +la zy +gh e +fundra ising +dead ly +gran de +dou g +he y +lin da +consi dering +i um +gol den +vi k +auth ors +di ss +u ally +appropri ate +mor ning +y le +hon oring +foli o +be c +re bec +fin land +formu la +corn wall +sh ay +cau sing +bl end +sig nal +t ent +kash mir +nation als +har mony +sc out +acce ssi +he ight +medi eval +impro vement +ke es +prac tical +car d +de par +hu n +om ing +cal gary +ste l +bu bble +gur u +ma h +unex pe +n h +ed a +me at +i ge +si o +god dess +in ches +tun es +br itt +sti on +ra j +âĻ « +mer cy +ðŁĴ ĺ +sen ds +i est +pol ici +val e +reduc ed +as ap +vi jay +defen sive +celebr ations +ri ders +med itation +har mon +g ing + ¡ +program ming +in au +sud den +m h +replac ement +sk u +j ar +gra des +ta st +k itt +brand ing +k aw +boo t +f ought +p ays +g f +iz ation +ho p +k k +activi st +v end +coast al +cha os +ðŁĶ ´ +se me +bill board +li fting +cu mb +sc al +ðŁĸ ¤ +stru ck +l v +indie dev +beat en +jun gle +al right +destin y +m ing +k c +ch ances +om an +q atar +cra f +tra ined +pri x +char m +o tive +s mu +e c +and ers +hand ed +al ban +certain ly +arri ving +i ze +sa i +tr ack +pain ter +hu mble +appo intment +head line +manag ing +mo d +as pe +andre a +à ¤ +ethi op +un ited +exi st +bal i +k ad +n t +d red +re x +recogni ze +tam pa +be ers +ati a +he els +no te +transport ation +tur tle +re de +hipho p +sp icy +sp urs +⬠ĩ +cor p +ther n +to ast +hur ry +proper ties +ma ge +mar co +ele ments +bou ti +syn drome +ms g +develop er +gra ders +he im +re sil +off ices +del ay +di men +vin tag +barbar a +ðŁĺ ± +vene zu +cu lar +fac ed +bar n +ðŁĺ Ĩ +survi vor +wor m +confu sed +passion ate +Ø ± +identi fy +electr icity +sou ls +brad ley +repor tedly +lun ch +shel f +eli a +swee t +smoo th +emplo yment +am el +manhatt an +ste am +oun ts +ye p +li ving +un e +descri be +ca res +man ila +sha wn +ac ted +bas h +st even +re st +pet ition +div ine +wel sh +rac e +platin um +ðŁĮ ¸ +p b +extra ordinary +solidar ity +m all +on ion +schedu led +game of +fer gu +de ms +nor m +p k +tri als +polici es +publi shing +st ole +fron t +charac ter +van ia +ex ce +sti e +sc a +resi dential +sa iling +ðŁĶ¥ðŁĶ¥ ðŁĶ¥ +spons ors +th ick +champag ne +she pher +continu ing +ven ice +per th +na p +a ster +y ak +un limited +cho ices +ne o +hi v +repor ter +bru ssels +f old +dy s +se mi +la wn +it alia +wi fi +as k +em ed +fr ame +monit oring +ste ad +i da +gr in +is a +fli p +re stric +offen sive +atta ched +di sh +wh y +philli ps +gre et +p als +mix tape +v ou +fiel der +spar k +alber ta +g len +ca sh +s ri +u ri +ro dri +entreprene urs +climate change +p sy +d le +em ents +lin ked +nether lands +acci dentally +oppos ition +vel vet +ra ys +c w +om o +m f +lmfa o +newsle tter +: ) +toi let +liter ature +di sp +phili p +uni form +sudden ly +head er +cool er +-- - +prou d +bri g +nis san +scienti st +j ah +con centr +pac ks +appo inted +so ap +eng age +cho se +âĻ ¡ +se tup +jeal ous +har ry +g ation +tun nel +te mp +osc ars +dec ade +recomm ended +child ren +ab a +anxi ety +ve ments +sal on +pho too +organi z +mach ines +ab s +vil le +hy pe +ti ff +emer ging +av geek +[ # +contribu tion +bra dy +re sto +g mail +fit z +photo shoot +hel met +h t +eleg ant +ug anda +nur sing +or leans +pen n +na h +foo tage +em a +w o +w ad +concer ns +ve re +re mark +who ever +str ang +p t +qu it +sh ang +histor y +s ick +perman ent +ill ness +col d +visi on +he m +ar row +con vic +pin k +oc cup +bal d +ex hau +u of +am o +on t +ãĥ » +adop t +la id +smo ked +inter pre +ess enti +associ ated +b d +bb y +fi er +inst all +dipl om +con diti +c f +w ak +any a +gr aci +fi sher +s ss +ap r +il it +mus ician +symph ony +cor d +h ack +le gi +l v +bless ings +hum or +sc ra +e ti +min ster +trav elling +bu sh +jewell ery +li me +!! ! +pregn ant +pe e +lo b +cap ital +ip a +pen cil +la bor +duc ks +prou dly +wedd ing +dere k +m w +pe g +valent ine +an gu +re treat +pro spect +dang er +vul ner +up set +, # +sr k +x im +thur sday +n fl +kis ses +re ds +cr ack +re ward +c u +ko k +me te +aband oned +it t +me als +sp ell +stan bul +del ays +ru m +le op +gu m +no va +super man +ch ick +m is +dram atic +inno cent +r ounds +re c +auti sm +bangla desh +mor al +mo vie +sp oo +k la +âĥ £ +ou ting +mess i +ab road +loo kin +a im +q i +st ack +colla ge +à ¯ +hud son +sc an +ho e +ch au +oc cur +comm ander +ho les +ðŁİ Ħ +bi as +v on +stick er +ma k +responsi bility +colum bus +sa int +ed mon +rac ism +far ms +w en +gul f +may o +!!!! !!!! +corpor ation +ba chel +el a +inter nal +je ep +fol lows +di alogue +de rer +smart phone +he len +rich mond +equ ity +s land +b g +ne ar +av i +memph is +we ir +discu ssed +bad ge +p up +mi stake +phen omen +un ite +ðŁ Ľ +de pic +ri des +in augu +n at +sof twitter +comb ination +gosp el +âļ ¾ +ad mission +retro gaming +ðŁIJ ¾ +sch u +mb o +jun ction +al arm +à ¦ +gr ac +kh ali +k ul +m ale +cap tion +wi sh +te re +cor ps +ru bber +play station +er in +effici ent +l or +jo kes +in ary +nor man +lu is +inaugu ral +ch ed +âļ½ ï¸ı +di p +to e +str at +aa c +am u +pi er +co tt +comm and +tt en +sn oo +cu be +clo ses +class ical +s word +expre ssion +reach ing +n app +co st +affe ct +ric o +gi f +brea the +tri be +or tho +h ay +l g +fri es +n m +hi ding +richar ds +en de +mic ro +capit ol +cop y +ro m +regi me +mary land +tax i +di al +embar ra +un believ +ch t +v s +elim in +o dd +pen ny +sound track +l ings +trans ition +rema ining +a is +mali k +? !? +rand om +def end +ul tra +tru m +danc er +st ol +dri ve +a ver +ro ast +defin ition +se an +excit ement +partic ul +su rely +sh av +ber y +di shes +com m +is ol +i am +ob li +gho st +hugh es +chi efs +b as +conserv ative +speci al +fe min +sh ri +n ancy +inte l +tu ne +ðŁĩ ª +jo el +gg le +mo to +ðŁĺ Ķ +bu ck +d ag +antic ip +mont ana +gu id +fro g +ec raft +op e +dri ves +nu mer +x y +color ful +wednesday wisdom +illu min +bey on +inau gur +deep ly +pre fer +for tune +coo ked +ti ble +âĺ ķ +swe ater +it ter +tt y +u i +gi e +com plic +~ ~ +tax es +cu ps +di verse +sam anth +âłĢ âłĢ +ba king +sy mp +wa i +be half +mer cur +travel s +ðŁİī ðŁİ +or ia +eng aged +jump ing +reti red +n aked +p uni +speed way +sci ences +rehear sal +on ym +dy ou +pl ates +r ati +kri sh +jaz z +car ol +ra f +pen alty +tim eline +ru by +engine ers +ra f +bel le +do se +che on +esc ap +me g +ran k +or d +me gan +mer ch +ec lipse +âĺº ï¸ı +ple dge +kir k +per si +leice ster +sa k +w k +saf ely +yy y +je t +promis ed +j c +en ne +no ah +re no +re a +ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ +tra il +ðŁij Ģ +f d +soo o +ri min +w k +ภ² +i al +x ox +bis cu +d ale +fan dom +particip ating +fla g +privi lege +pe ach +mach ine +bo ston +gro ss +o g +mir acle +adop tion +u ss +mon sters +be ij +clar ke +pu shing +pra ying +ar o +d n +ell is +apol lo +od ds +refuge e +to w +b p +ðŁĩ¬ðŁĩ § +h end +app eared +memb ership +pe an +du m +viol ent +v y +potat oes +aw w +greet ings +t ts +ac on +sh ane +photograph ed +cra b +temper atures +cu ba +c fc +wel com +he l +in nings +m k +co de +kno ck +gra ss +swe dish +p ta +ick y +v at +lin ing +s q +sa p +ar c +announ cing +sk ins +cit yof +br ing +co x +gam er +it arian +i da +h d +ros se +sad ly +ge o +âļ ¡ï¸ı +tag s +fa ther +chan ge +l ance +whis key +adel aide +te c +stick ers +marke t +class y +bad ass +flo rence +lin er +fro st +k ate +ac on +scand al +es sex +ðŁĺ ı +vi vi +dr ill +blo ggers +recomm end +d ha +ac res +ro ma +bu y +gro cer +er ia +ma har +ff er +patter ns +ver i +com pu +st ev +ang a +ment or +do o +it ali +cdn poli +on ly +conduc t +elec tro +de f +wh ale +prepar ation +bicy cle +vi ral +turn out +bra ss +qu ad +hospit ality +pack aging +den cy +ceme tery +abo ard +dre aming +pic ture +t all +inv ent +ad mi +o e +tem ps +qu an +fun dam +pro mp +resi dence +mu d +sour i +âĦ ¢ +graff iti +gi f +d nd +com p +s war +pe eps +pale stine +devil s +san g +assi stance +bi ke +missi ssi +inter viewed +ne phew +dru ms +v and +gentle men +n sw +inst a +leban on +ee ee +oli via +ver y +rou gh +industri es +m ation +ðŁĺ Ĵ +bar rel +n ay +po ps +moder n +ill y +are st +on ents +protec ting +v ans +e o +vi kings +restaur ants +re ck +jac kie +andre w +w illing +he ath +citiz en +disc rimin +๠Ī +stu art +m ys +hi p +tran sp +" ? +te x +su shi +ke d +cro ssed +dist ur +pe dia +f ate +some how +mo th +proce ssing +is s +r in +u ts +yy c +ver t +lg bt +re id +on to +arab ia +habit at += = +stre ak +simp son +addic tion +wim ble +deli vers +challeng ing +ðŁİ ¶ +fran ch +e du +s me +ai ds +hur st +th am +tari an +remem bered +palestin ian +fe es +tru m +sket ch +ur u +fit ting +jes se +ðŁĶ¥ ðŁĶ¥ +---- ---- +ba ch +ici a +colo red +da h +associ ate +int el +s eller +p u +stu ffed +ac s +b s +sh in +cooper ation +certific ate +ab u +ingredi ents +re v +in ge +el der +christi an +bun dle +th ic +dir t +beij ing +comm it +ted dy +ed u +to day +s field +w yn +confir ms +lo o +j v +ene ss +al pha +vir us +ari um +gr ind +bri dges +introduc tion +pol ls +bac ter +z ach +termin al +ra iders +fla vor +zom bie +vo d +sp reading +gameof thrones +effici ency +lat ely +ale m +twee t +cri mes +cl er +de y +dg ed +hy un +pay ments +cir cus +ðŁĺŃ ðŁĺŃ +mis souri +lu b +episo des +c age +po s +mat ching +tumb lr +lin ed +ge st +am bi +nar r +ing ton +regu l +blo wn +is le +co co +on don +joshu a +tour ing +sm a +sau sage +best friend +bo eing +desi re +sav age +ra pper +de vo +te ar +take over +cow boys +po ker +par ag +pp e +h int +we ars +se th +ro les +l anc +man ga +form at +fl yer +c ay +mo or +ba ke +spla sh +v ad +ker ala +proce eds +sil ly +reflec tion +di str +wi d +su it +ci vic +yan kees +by n +migr ation +di stin +or ch +fe mini +quali fying +tu ri +o be +hun dred +cra p +wan g +mathe mat +bu re +expo sure +fergu son +seme ster +re serv +pl ym +a hu +fac ial +wa x +wor ried +ca b +vi o +as a +co d +to pics +p cs +hal o +rescu ed +horiz on +ar k +âļ ª +hol ly +el f +ul ti +pu p +quali fied +attend ance +ati vely +destro y +y c +for th +photoo ftheday +c ents +ic eland +meas ures +de sk +port folio +artic les +direc tors +dat ab +e w +creep y +oun ding +hon oured +mi st +j it +men tioned +port able +iti c +d ann +friday feeling +am id +ti ger +scri p +helicop ter +hard ware +expl or +work place +austri a +beat les +ber nar +spi der +disc o +cul t +lim its +shor tly +fin al +nin ja +lu ke +le bron +wal mart +o il +van illa +shi re +ye g +ak y +c s +bl er +collec ted +t g +rol led +speci als +b ff +pier re +sh im +vi er +flash back +restor ation +individu als +pro d +fre aking +tu rer +o a +re fre +mor oc +gre et +re yn +care ful +our ing +u sh +is d +g ill +vie w +thunder storm +b led +pic nic +guar di +pi g +ar k +syl vania +bann ed +u cl +vi jay +ori um +av engers +believ es +eu r +monu ment +concer ned +la bs +ber g +a ap +vi sh +sing les +can cel +z el +ar ab +ru th +too th +ar ta +sh af +chair s +r ack +dise ases +crow d +cl y +fle x +christ ma +artif icial +tom at +fin e +dra ws +advoc ate +fran ce +Ù Ĭ +ðŁĺ ³ +heav y +s our +compre hen +no ble +aa p +hin du +cor al +g ars +ow en +n l +st all +yel low +mar ina +in ver +suppor t +tou gh +promis es +pi e +master piece +sco re +for ce +mor tg +crypto currency +o x +r ors +rock in +pro vin +ho g +no stal +oak land +pat rick +inclu sion +tra ffic +ah med +a ha +lux ury +con secu +de mon +âĸ º +b lowing +st ag +: " +encoura ge +ben e +sku ll +do dge +bu ster +kin son +wit ne +er ror +lo west +fel low +à ° +sh re +bl ur +vir gin +compos er +sli p +mor nings +ga ins +tab le +gra in +ari st +braz ilian +w we +tu es +ribb on +an ag +di st +sac rif +em brace +entreprene ur +af fili +de o +t ali +touri st +fat al +ì Ĭ +autom atic +ðŁĩ µ +we ak +wel fare +confir m +benjam in +fi ghts +alleg ed +me ad +strugg ling +pro secu +che f +à ¨ +propos al +er n +ðŁĺ Ħ +dy k +on gs +hon g +m ack +mel on +on ent +ru sh +d ap +tol er +pro pag +c ze +trans lation +wal let +cott age +sa il +constitu tion +ðŁĴ Ģ +mun ici +fav or +storm hour +i h +ðŁĺ Į +approach ing +pin ned +j ed +niger ian +n ach +sh at +particul arly +mc don +camer as +anni e +admini str +he at +electr ical +char ming +gib son +bouti que +ex posed +ac tor +pil low +beach es +genu ine +margare t +ben nett +lou isi +pos itions +el y +shin y +ten tion +architec t +ren tal +ac qui +goo gle +sub way +mom ent +ðŁļ ¨ +ri m +metho ds +cy cli +nor folk +Ù Ī +over whel +ra pid +we ar +happy birthday +progre ssive +ðŁĴ ¥ +co gn +pap a +f ool +philosoph y +pol ar +jim my +wi g +ðŁĴ ĭ +oper ating +reduc tion +ph i +fla gs +to the +o di +a res +k oo +k ang +ar kansas +ash ton +wimble don +sci fi +attrac tive +mississi ppi +logi sts +ral ph +la bel +gradu ates +ma ha +home town +âľĮ ï¸ı +foun ded +on the +li z +trans l +mini mum +pre sti +ta m +gener ations +re bel +journ alists +par am +mc m +acry lic +death s +tes la +w t +bry ant +jer us +i stanbul +muham mad +ri ley +k ris +work shops +is o +coun ts +stre t +prote cted +trin ity +man ual +r hin +r il +pleas ant +le mon +ner d +har der +dar ren +bur y +ra h +bas is +mi gu +occa sion +li sts +âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ı +e b +de cre +hamp ton +ìĿ ´ +tra vis +trans form +puer to +nh l +av oc +tri ps +unexpe cted +ve t +di dyou +bar ber +st ages +m son +re presented +for t +l al +pp le +nic ely +ignor e +qu il +qu inn +h k +carri er +remin ded +am ong +pass enger +el len +gue z +sc ape +mu ral +youn gest +ma sh +d ill +rout ine +stain less +jack son +gand hi +th al +on ers +edit orial +convers ations +sd ale +autom ation +i ke +า ภ+ðŁĩ ª +hau l +la ying +men tions +am en +abor tion +i bi +coun ties +ca therine +man ds +jam e +roll er +au t +n am +o logical +cep tion +ran king +tox ic +sn acks +victor ian +bang kok +psycho logy +re g +ang ela +respon d +sty le +sophi e +dak ota +achiev ed +mar ked +imper ial +in as +glo ves +sli m +confi dent +att acked +gg er +lon ely +valentine sday +re b +craft beer +orig in +zim bab +ce iling +te ens +other wise +w b +f ers +day sof +advis or +y ah +âĻ ª +en der +republic ans +av a +skir t +pi pel +chi e +jan e +ja x +ðŁĺ ĭ +âľ Ĭ +j ays +bre tt +bal o +cru cial +d har +as is +de au +lloy d +chat ting +âĿĦ ï¸ı +rel ay +remark able +n s +we t +bris bane +ðŁĶ ´ +tion ally +f k +la yer +house hold +consecu tive +es is +pend ant +st ir +crit ic +su gar +photo shop +pa res +arti stic +do dgers +c un +cra fted +am end +bo at +âŃIJ ï¸ı +egyp tian +sa w +tra ge +small er +ox y +pa ired +nex t +i res +tac o +o y +u c +st i +a erial +: // +dr o +dot com +gg ins +r pg +ay e +le an +stri ker +lo bby +prote sts +pri ority +congre ss +am ate +inv it +r ington +mom my +th us +allow ing +pione er +enfor cement +g ori +tal k +dra g +du mb +bul let +san ge +er y +tar gets +ðŁĩ ¦ +he ather +consi der +seaf ood +ve st +ris ks +% . +p g +sac red +he ating +kick ed +tto t +. - +chan di +co ven +po ol +pul se +i a +ro ster +shakespe are +es a +car go +pean ut +tro op +ac tion +tab let +home work +cast le +stru ction +mus icians +free zing +bu tt +justin bieber +j j +bah rain +an them +au dit +didyou know +na vig +guid ance +âĸ ¶ +tur f +n un +fic ations +ye men +char ging +x c +bron cos +su bur +p ale +bor ing +among st +for the +em per +om fg +p j +expe cting +ðŁĴ « +st l +ad min +expect ations +sw an +shoo t +oooo o +min ent +ãĢ IJ +wall ace +stan g +satur day +adop ted +dou bles +hom ie +ome z +d han +vent ure +surroun ding +fi le +mob ility +de es +w ski +broo ke +emb ro +re members +kar a +test im +bo tan +m tv +sacrif ice +jerus alem +d l + ´ +proper ly +ili on +as i +leg it +co pe +m cla +recy cling +lar ger +ðŁĴ ĵ +pat ric +gener ous +ja red +p f +mol ly +thom as +ju dges +h b +sor ts +bl vd +o ven +enter ing +plan es +be et +integr ation +boo ked +fre ed +ver n +ash es +to pped +de pot +welcom ed +ren a +m ick +d and +see ks +gam er +ran kings +ren e +mu t +whis ky +fire fighters +gu es +ga ther +tour ney +de men +y ang +new ton +autom otive +back yard +deta iled +mi st +to bac +fi ber +un usual +grat itude +sp are +ne ys +: * +per i +flo ating +fin alist +don ating +dre ss +bro ad +be the +econom ics +tai wan +ed wards +plu g +pra iri +val en +bab a +f ad +an as +har per +dis order +app lied +p att +bi kin +li ver +cu ri +carol ine +ann er +juli an +wal king +mal col +screen shot +co ding +skin care +activi sts +myster ious +ex act +blo cking +mercur y +bat ter +du mp +âľ Į +en se +li sh +ridic ulous +prote sters +ðŁĻ Ī +lu st +swe at +as s +ali ke +co dy +re ments +win ds +as pir +vi enna +pra y +.. .@ +bo i +cand le +assi sts +te e +der son +p ony +f ence +con spir +âĺħ âĺħ +oo th +e pic +ba rely +a unt +b am +diamon ds +end less +scre ens +can cer +gr o +p st +pro spec +mo sque +help ful +ou ri +bro ther +gu jar +cri sti +ine z +to wers +ad dresses +gra y +bur ton +re tweeted +ðŁ¤ Ķ +n ity +du ck +super vis +jo an +kin der +sanc tu +pi ed +âı ° +ł ï¸ı +m ati +reven ge +ce ster +eli fe +desig ners +back ed +bo li +wei ght +cou ch +su res +s its +shri mp +la gos +auth orities +os ity +hol ly +compu ting +fac tors +ab e +pan els +ram ad +sent ence +missi on +hol m +r b +d ads +shang hai +mon ey +she ets +sk ate +thre w +cup cakes +infin ite +l is +practic ing +ess ay +ka i +as ci +mo b +u gh +hol mes +re gg +ik h +mo ck +collec tions +pe p +o va +sal t +nan dez +co y +thre ats +tex ts +cin nam +pregn ancy +pen ding +stam p +flow er +g is +agre ed +pay ne +ro ver +ph ra +sof t +f fin +fa thers +pass engers +aw ays +al a +h es +li van +in s +samu el +ingu i +h of +j j +chen nai +cat al +om ic +he ath +ni ece +pump ed +integr ated +are l +no m +produc tivity +wan ting +vis a +di ana +tw il +it v +cam ps +ro wing +d ley +black and +gu ards +b ells +re verse +vi be +ric ky +mo ss +ny t +âĺ Ģï¸ı +el le +tro y +cu dd +ev an +women s +fo to +mi stakes +wick ed +mi l +c led +me mes +co smo +schol ar +ren o +ðŁĺ Ģ +v ents +# âĢ¦ +terrori sts +ca sey +cardin als +ðŁĺĬ ðŁĺĬ +venezu ela +bol a +liter acy +t w +en o +con tains +au stin +fin anci +ev an +har vard +origin ally +chev ro +her ald +nott ingham +manag ers +âŀ ¡ +accep ting +wal sh +tutor ial +entrepreneur ship +yach t +requi rements +glen n +pe de +unfortun ately +ach ing +dais y +gi an +night mare +âĿ Ĺ +r ina +b art +ema ils +oppo site +who m +sa ke +pu zzle +da shi +par ty +blan ket +bus es +lo re +beau ty +reas on +pun jab +winds or +func tional +exi sting +hel lo +gli mp +con vin +la k +scre aming +rebec ca +bli ss +north west +infin ity +cosme tics +pul ling +coffe e +pl ing +op ho +colom bia +interior design +( + +emo tions +sa c +sun glasses +sav es +d f +six th +al y +ðŁĺ » +de en +dev ast +polit icians +lac rosse +g u +pe i +jav a +comb ine +coal ition +er ts +survi v +ch ad +stri an +n n +de vi +coun c +concer n +contro ller +bre ast +j ury +tu m +introduc es +la di +mobi le +al z +ste ady +nur ses +h acking +on line +oce an +ðŁİ Ħ +a am +ju ven +ic c +louisi ana +ar te +street art +is on +wn s +fr m +p anda +no ir +main tain +del ay +symp toms +thor n +ge ome +ter n +carri ed +p ru +pan or +as sy +per u +clou d +sp ra +pe di +e ste +tag ged +ðŁĺ Ŀ +shado ws +naz i +ا٠Ħ +cor ri +âĻ¥ âĻ¥ +j ad +ðŁĩ « +form al +spo ken +ðŁĮ ŀ +enjo y +lo pez +out look +in ho +w ander +Ù ħ +ma ya +pe e +d ine +ãĢ ij +brief ing +suppor ter +ar ily +ght ers +natur ally +doctor who +j en +v ar +new year +re se +si mm +re x +con sequ +tomat oes +bur st +bra vo +bur gers +cr acking +nor theast +bi om +mush room +mar que +dou ble +ni er +v ag +tw enty +key board +win ni +jama ica +par ish +: - +mental health +ali zing +ren der +wa king +ðŁİ Ĥ +g ly +na than +wa shing +mel issa +jun g +loy al +chil i +song writer +guit arist +bo wie +neighb ors +onym ous +as set +ta i +head quarters +ðŁĮ Ī +i hear +ci gare +sur g +) " +re pl +dar ling +ðŁĻ Ħ +z ak +sa re +ãħ ĭ +mic key +ware house +mass age +ine es +did nt +i w +hur ts +eng aging +mag ic +women in +k itten +mor s +c art +tit ans +colle ague +compe ting +er an +k hal +mar ble +dem and +del ight +et ary +bli zz +lou ise +m ls +fini shes +experim ent +conduc ted +electr onics +itt ers +car ing +wh ats +sym bol +jun g +e cu +pi x +con text +char ger +ðŁĺ ĩ +re ig +fra g +ë ĭ +ch ad +tru e +ker ry +def ending +a int +au ton +check out +bar nes +less ly +d t +m me +clou dy +second ary +are z +_ : +app a +const ant +" ) +ve ts +jo b +i ent +ðŁĺŃðŁĺŃ ðŁĺŃ +m j +fren ch +di ver +davi es +hh hh +e book +๠ī +mar iti +bree ze +susp ended +mat o +vi et +ra hu +se i +bol t +en ary +le is +kar l +fr amed +expla ining +ab c +de aling +nat o +ja ke +exp and +leon ard +establi shed +du b +ar men +el led +voc al +nichol as +ori ent +k yo +illustr ated +ah h +danc ers +milli on +ge ta +po pp +as u +mur dered +gi ble +sto ked +gri ffin +maxi mum +adri an +en counter +ther o +david son +ðŁį » +holi day +ev o +asse ts +car son +memor able +âļ ½ +ob am +represent ative +cb d +tr icks +vo gue +vo ice +mm mm +sebasti an +cli f +ath y +par alle +ðŁ¤ · +pa k +ev acu +e ats +ا Ø +tou ched +organ ised +spir its +can ad +gui ded +frame work +ðŁĮ Ł +pe d +natur al +ag ar +replac ed +anch or +ti t +sha h +organ is +super ior +r n +ch ro +eric a +st ill +cor on +chu ck +loc ks +or gan +ro sen +sc am +ben ed +/ # +ke en +tre vor +vamp ire +sor ted +! ' +af ford +in tro +gr ace +ðŁĺ ľ +sau r +kick starter +influ en +v u +y up +po c +ðŁİ ¥ +a ar +s ang +tre k +et sy +tb h +scre am +chevro let +pix el +shepher d +an or +gabri el +tw ood +sd cc +me ters +develop ers +clo sure +v w +twit ch +ì Ĺ +se oul +pr ice +ho g +n ish +hill ary +scrat ch +in cen +wag on +dis ability +pan ther +ch ats +g d +wit z +sus sex +l ate +den mark +ger ald +cancel led +net te +i x +nav al +bap tist +te t +y ad +ma th +ho y +r andy +po int +intel lec +fru its +w ool +gu in +pr on +the ft +con dem +mar ry +n ola +architec ts +cin cin +roc kets +gentle man +ex plan +t ate +do e +ra ises +wild life +w l +insi der +blan c +w p +for sale +ny c +po well +unbeliev able +pen s +goo dies +mu stang +p ens +st ays +squ ash +xox o +near by +ever ton +co co +le agu +k han +stu d +south west +con struc +s worth +cro atia +le a +su ms +aim s +e an +van ess +iti ous +pa thy +arc ade +b end +sugge sts +sac ram +roy als +ri er +em ir +in cl +an k +clar k +ri ght +vac c +ठ¾ +tan e +li b +u sc +sal es +hu h +s ally +ver a +p ga +gro ws +dru m +tre e +eth ics +sug gest +is ab +se aled +pre viously +anim ated +ab du +ri ses +glo b +pre dat +scar f +del ic +om ar +ll i +sx sw +py thon +ne bra +fun k +reflec t +pav ilion +tic ally +ch asing +bak ery +inva sion +ko h +believ ed +co hen +con qu +cra fts +nat i +cle ver +govern ance +sam ples +fa ils +â Ķ +ti mo +r itu +stri king +inclu sive +sho cking +can t +requi res +dra wings +à¸ Ń +purch ased +du m +z ach +war ner +con sole +man sion +foun tain +circu m +e sh +is land +mil k +pro fits +hali fax +ri val +âľĪ ï¸ı +jen ny +sand ra +ny e +k elly +y al +qu ad +no s +inste in +fin alists +mid fielder +cu e +excep tional +a an +sa pp +gett in +sa a +f ati +sl ice +vol k +s wal +la sting +sum mary +it as +sm o +s z +âĺ Ĩ +ip l +fl ames +ene ws +ha v +hoo die +pitch er +win dy +re vol +centr al +ton ite +ðŁİī ðŁİī +sol ved +mil wau +organiz ations +wee ts +re fin +s th +ãĥ ¼ +el in +ton a +cinnam on +ðŁİ ¨ +ðŁİ ģ +ron aldo +pen insu +ome ga +el ds +desig ning +e igh +blu et +ben z +nu g +ash a +robo ts +su dan +choo sing +en do +ser ge +clo sely +hand y +fing er +be ing +ar te +survi ved +fl ame +mile stone +gu t +d war +fu tures +é e +el o +fri dge +eli c +ou ch +u b +p v +tit an +col lar +st ation +nev ada +aur ora +r d +dun can +âģ ł +bri en +mar sh +Ð ¾ +to tal +ch ry +s ers +su ffe +ra chel +colle ge +to days +cour ts +ch it +re united +gym na +gen esis +be side +re presentation +ch ant +collec tor +ra k +ath ens +ni gh +mun ich +langu ages +fl u +particip ation +__ _ +c v +spec trum +so da +co ver +refe ren +ab bo +ap a +public ation +ed m +mon ica +ar my +ðŁļ Ģ +div or +dr y +stre ams +robo tics +ci der +bull ying +appro val +sto ke +plat forms +sier ra +ex tin +i b +ha yes +succe ed +suff er +at ically +da i +lyn ch +h ound +del ines +ack now +d ated +exclu sively +he res +fac ilit +dam aged +char ter +la kers +fal con +unve iled +wel ove +e ase +pati ence +l one +gent le +gene tic +produc ing +g our +shann on +bil ities +zimbab we +p int +dau ghters +liter ary +bel le +cl am +surroun ded +k any +ne il +pir ate +rang er +hb d +nat alie +bel ong +olym pi +emb assy +sc ol +en er +ak in +lo ren +b h +: / +di va +den im +hi pp +ðŁĩµ ðŁĩ +arn old +? ' +we ren +em power +dis abled +man or +rasp berry +b af +aw ful +dru mmer +kar dashi +n ash +machine learning +ch u +rebel s +tim ing +mon roe +ton gue +ran ge +pup ils +re ss +amaz on +b z +har ley +pal mer +ballo on +s ings +ic ec +j b +c ers +g ps +whi st +ri se +l t +oo oo +c attle +shoo ter +vod ka +uc l +mt g +le sli +jon as +di spo +at ric +ste in +vintag e +fir ms +flo yd +cow boy +soo oo +is aac +war craft +disney land +beauti ful +be am +franch ise +bu n +k ag +an on +tur bo +swee p +made in +kar achi +dete ctive +penn sylvania +contro versi +vitam in +a side +chron ic +descri bes +remo val +ha h +ap er +ten ed +u to +bad ly +mir ac +f ry +ye a +in jec +ther mal +comp act +th or +te ed +ur gent +l ite +g illi +sop hom +ic o +che m +p m +for k +fre ak +ch ak +recipi ent +i y +ni k +model ing +c ans +ðŁı Ģ +del ux +se am +surviv ors +rad ical +investig ating +reli able +f m +tur t +ligh thouse +to ol +go wn +) ) +bo ts +auto graph +a id +bu ffe +h mm +horri ble +ssi onal +ann i +๠Ģ +k its +sch i +eter nal +hu ss +sens itive +r u +tast es +chec ks +im o +por tion +sk ate +e den +half time +fri ed +ri hanna +ti se +fl ick +ca in +s gt +âľ Ķ +sh au +sta ined +ra ffle +dro ve +sal man +princi ples +sh o +ar u +je ss +gu ine +gar bage +my an +jel ly +dis ru +z ia +q ld +ent ries +la v +fle w +ad mit +objec ts +comp are +ny times +cann es +p n +suff ol +ro c +d ana +e gg +hi st +coun sel +' ! +phy si +imag ination +ad just +explo sion +plym outh +hor ror +elli ott +bour ne +de x +bre ed +au dio +lob ster +disappo inted +nation wide +( ( +incre ases +austr ali +ce dar +star ing +rac ial +e is +g mt +visi ons +stay ed +discu ssions +de an +cur tis +mai den +stel lar +happ iest +h wy +pre season +car av +mon days +hospit als +glimp se +schol ars +ja i +ter race +ann a +goo se +gra ded +lot us +hun g +grocer y +stam ps +emper or +sc oop +in ser +c as +exist ence +he al +fal cons +mar vel +reduc ing +terri fic +magne tic +perfor ms +bar re +p us +tre ating +ic on +w h +decla red +tra uma +do d +come dian +nik on +bu gs +as m +mont gom +ibi za +comprehen sive +ha s +san ti +fellow ship +da sh +p sal +louis ville +sp y +fau lt +d the +fi led +vi sta +de sc +fe ars +you tu +sp s +es p +ri g +cri me +ber ger +wonder land +k ent +in formed +stev ens +my th +ast on +ir i +visit or +at ri +produc ers +al la +person ally +separ ate +agen cies +af ri +il an +spo ke +n ina +squ ad +di ves +de pend +li v +fier ce +enter taining +cha in +sc at +bor ders +pal ette +sp ro +os is +der by +tobac co +zi o +willi e +ju vent +zoo m +hol y +enti rely +af e +mart inez +be ds +pe a +bull dogs +ðŁĩª ðŁĩ +ib m +ne on +ethiop ia +team mates +plan ting +tw er +any time +for bes +ó n +run way +ner vous +ro ger +p ile +ch anc +apo caly +u w +o i +dr ought +territ ory +br ick +cre atures +go in +w aff +gre n +sou theast +je an +am bul +ed ited +stra p +c v +aar on +ãĥ» ãĥ» +t su +descri ption +kin dly +clu tch +im mer +en or +women sday +or ange +ra g +ob vious +hy der +chann els +man go +me yer +ra ining +ge tty +pil gri +coordin ator +up load +ninten do +don uts +san chez +app arel +j r +zz i +, @ +jeff erson +accessi ble +great ly +e id +initi al +budd ha +par is +ma scot +â¬ĩ ï¸ı +sch war +si ri +sp inning +mortg age +e cho +end ange +ge dly +chlo e +enh ance +kar nat +k ry +explo res +ðŁĴ ģ +af fair +ic als +all a +dar t +dolph ins +diffe rences +squir rel +au gh +dr ones +ell en +re store +pa w +un for +pi ke +hil ton +colla b +consu mers +co inci +out comes +pp p +a q +coup on +li est +si ms +k ho +av es +spo on +pu dding +cor byn +hat ers +ex ams +sla ve +. ! +p sa +app les +tam il +se d +co ke +zz o +lo sange +car bon +cla ir +... ) +k hu +cra ig +explor ation +sanctu ary +su e +al way +demen tia +won ders +super hero +pakistan i +brown s +bluet ooth +lo cker +mar c +ev entu +delux e +rodri guez +âĿ¤ âĿ¤ +ro bb +ðŁĴ ¦ +lin ux +ten s +intellig ent +se ed +vo ter +s ler +pe aks +inter n +teen age +peninsu la +hand ling +ti e +cou sins +wen dy +me e +à¹Ģ ภ+din o +ðŁĴ ° +ðŁĺ ĥ +ze e +s bury +trage dy +b k +bo re +z in +war ns +idi ot +tou ching +contin ental +tac os +saf ari +wa shed +po dium +morri son +fore sts +c bc +al on +partic ular +be ads +inv ented +lo ch +li ghter +where ver +i de +docu ments +a we +k r +no where +min er +st it +ro x +contribu te +har dy +cl an +ob ject +ca it +ðŁĴķ ðŁĴķ +happ ier +vege tables +t art +g ag +nom inee +heav ily +pan ic +j d +there sa +at m +u ph +s fc +su ri +drin k +n al +re vel +k l +avoc ado +nom ination +ma donna +shar on +malcol m +control led +sh ers +revi val +legis lation +shoo ts +n in +comm entary +pro s +human rights +str anger +mit ch +pipel ine +leg ally +th u +gil bert +tol l +gran ted +gh s +ir anian +refre shing +du k +ab i +pri me +jose ph +mo sa +stati stics +produc tions +mer ry +pat el +sa x +human itarian +struc tures +e missions +town s +fre el +ster ing +rat ings +alle gedly +cab in +st l +w ade +fl yers +tri m +promis ing +z u +bal lot +compar ison +free ze +ou ter +great ness +as sign +snow y +r ale +tor ies +med iter +kno ck +consult ant +cincin nati +analy st +sc oo +je ws +appro xim +pu re +portra its +cy rus +ation al +lo ans +acqu is +el u +accep table +uni on +water color +ru st +batt les +per fu +seas onal +ser ial +mind set +ri ot +fel d +enni al +clo set +pri est +tan ks +int l +scre w +bu m +ab dul +ou x +expla ined +ric a +imag ing +law yers +bu ried +ãĥ»ãĥ» ãĥ» +ear l +âĢ ķ +l ton +resto red +stri pes +fo ss +de mands +ste aling +alex is +mun d +ak er +ur us +war dro +hu gs +gen re +e go +Ù Ħ +particip ated +bab es +ban quet +ti ous +he mi +ds b +lo st +milwau kee +jen ner +ge m +ou tra +lo ses +id i +re ps +ðŁİ § +regu lation +fla w +f ang +vibr ant +ram p +ra ins +well being +so viet +vie wers +de po +libr aries +bi go +ser y +g ill +de struction +co z +c x +bri dal +al ds +plan ted +amate ur +lu d +che ering +show cas +pro file +i u +ver tical +pack ers +wiz ard +ski p +s light +be au +air ways +mu ch +re ra +ðŁĮ Ĭ +ab sor +pati o +pack ages +s ells +ment ally +ðŁĺ ¢ +reyn olds +k are +tri bun +wal t +kn it +ta ste +sur rey +boun ce +cre ature +b are +bet ting +su re +mi ley +laugh s +al ore +cy n +t l +arti st +ann ah +war mer +dynam ics +lunch time +mariti me +vulner able +ðŁĴ ĥ +wol ver +dur ham +const antly +am in +si bl +: @ +bul let +k ach +angel o +wil der +doo m +desk top +law suit +k ca +hen derson +inv iting +bet ty +ta wards +ra fa +le aked +and i +ge ms +af l +vel o +mediter ran +pro be +to tten +steph anie +sn ation +com be +q s +over come +assas sin +ra v +fil ip +winni peg +sh il +determin ed +k as +ou tre +regre t +gui des +aa a +ðŁĺ Ī +wi ves +mani fe +er ly +sm y +sh ima +x ing +pix el +jac ob +ac commod +to y +on o +po o +ti er +an swe +ðŁĴ ģ +ro sa +le ase +bel ongs +th ar +eventu ally +nei ther +go a +ski ing +at ra +ag h +broad casting +f ury +py ram +d ice +volk swag +wom ens +provi der +bom bs +miss ile +whi p +d ick +nor we +back up +el der +mat ure +concer ts +gi ous +sque e +good morning +bra ves +^ _ +au ssie +lun a +mal es +he ck +for tn +rome o +steel ers +p n +pe er +re presents + « +kat y +migu el +requ ire +cha ins +l ur +immedi ate +ti mber +âĸ¶ ï¸ı +advoc acy +ex port +an z +tiff any +auth or +ðŁİ Ī +du des +chil ly +hi d +har m +bu g +mon ster +terri er +tu c +story telling +ta k +in ti +immigr ants +b is +reach es +com passion +john ny +contribu tions +ðŁIJ ¶ +mechan ical +impre ssion +ran ks +ko be +men ting +bloss om +pab lo +buil der +bom bing +tw el +sul livan +om o +pe te +de mi +ku dos +w bb +t gif +mass ach +neighb or +che fs +eng ines +pun e +ga ined +phan tom +s days +ext end +gr an +cent ers +jac qu +dat asci +sleep y +el vis +answe red +s lot +con y +flexi ble +ti ally +le tics +% , +andre ws +si ble +mom ma +vin o +do x +invit ational +twil ight +j ade +ill ery +joh ns +f ou +p v +-- -> +break down +billi on +prin ter +mon d +c bc +mag gie +legi on +du b +kur t +po or +paren ting +regi ons +bikin i +be ware +si onal +au burn +kid ding +amp les +sp an +con tempor +c ic +ha bits +ak o +pre fe +bud dies +it z +em ily +person nel +moun tain +ver sus +ðŁĺ ¬ +ear ning +s ink +dar i +u u +s win +i ster +bru tal +n ac +kat a +clo th +am and +ðŁĶ Ĺ +ne o +alu min +week ends +nebra ska +co des +delay ed +brun o +pro ven +in c +i ght +fl an +or o +lam bert +regu lat +w f +massach use +kardashi an +bern ard +fi esta +volcan o +grand pa +anc a +d re +st itu +mean ing +fo am +au ck +at ed +r l +hot el +pers ons +dy nasty +ell or +ma i +am ne +sty ling +avi er +e g +vege tarian +, âĢ¦ +foun ders +sta in +g d +cy cles +sky line +trac tor +exi sts +tra l +kid ney +mar il +inst ag +se tte +addic t +tri angle +flash back +controversi al +z on +p ins +i as +tr ay +town ship +deleg ates +sp am +h ms +cr ane +peop les +o lo +fac tion +but es +on ica +deleg ation +new profile +eli er +mc a +w and +g ely +losange les +ber ke +ti ve +dis rup +zz a +cas a +jor dan +ford shire +ga thered +ic hi +atten dees +à¸Ń ภ+pe ppers +co in +bour bon +ern ity +ro tary +behavi our +jere my +team work +compli ance +tre mend +ðŁĩ § +bu hari +cam bo +bu yers +ha gen +bu ds +bay ern +mon te +sm ells +an za +ath lon +descri bed +work force +gi ving +ap i +invest ments +da il +sel ena +datab ase +th um +mor tal +stu dent +bu yer +do ver +gar ten +att le +loy alty +gen oci +holo cau +theat ers +ru ling +ven us +pat ent +ch un +ab by +awa ke +mass acre +bang alore +break ing +simm ons +ju sti +hal e +ed chat +gg les +haw k +mar king +head lines +stro m +co ve +breath taking +med als +hair cut +christ ine +tele graph +gujar at +ju ra +can e +sho re +propag anda +mu eller +.... .... +sa vi +stom ach +thro ws +ta b +war m +j ong +reno wned +hi r +ra is +mush rooms +guaran teed +bo a +m j +revolu tionary +certi fication +bru ins +jo in +w es +pas sport +c g +sex u +cap able +w v +ton es +jac kets +ac compan +spin ach +fore ver +bla ir +wat ts +g l +cou ples +prairi e +newprofile pic +logi stics +massachuse tts +jagu ar +o id +we al +under water +mo z +y i +ma ths +myan mar +pre ps +suffe red +tr ace +wal i +ah hh +bor g +st itch +cu lin +real ise +infe ction +discrimin ation +sh ame +an kle +hu mid +y t +brac ket +tru ck +tri u +ea ster +commun ity +post card +invol ving +ty ler +car amel +over view +ex amples +integr ity +base ment +instru ments +ani um +at us +gh er +laun dry +achi eve +gen eva +pr icing +hyder abad +beli ef +me ta +j aw +accoun ting +lead er +cristi ano +cou ture +cy p +vis ed +, ,, +k nu +h ick +break er +br am +ra b +mo or +ham as +gradu ating +pupp ies +ak h +ta h +ach es +ri e +op ini +g ta +re ign +tra gic +re ver +p ill +pine apple +tou ches +da re +le ys +il o +inter iors +sc outs +bar t +en zie +don o +bro ck +christi ans +ense mble + · +cine mas +new port +air line +win ston +le igh +cont ents +pre scri +ur ge +tr out +fic ally +il ia +sub si +are r +âļ¾ ï¸ı +w ounded +ðŁĻ Ĥ +pe pper +ðŁĴ ŀ +fit ted +af f +re sur +thursday thoughts +z ero +archae ology +di v +je e +i on +awa iting +co zy +beauti es +bal d +dat a +gri zz +stal k +kin ds +cle ared +jess ic +regu lar +ali ens +plac e +bo s +bi zar +thisi s +ðŁĴ Ģ +totten ham +ma fia +s lam +ari ana +car roll +back pack +care y +uni v +r g +pe p +dig it +tatt oos +ag on +volunte ering +diffe ren +consu mption +ka thr +head phones +t shirt +o b +ele ment +re tail +sh ru +al gori +contain er +consci ous +fi l +com ing +ra sh +u rope +def ine +gi or +femini st +flow ing +rout es +gl aci +fer t +somer set +ant es +twee ps +$ $ +h our +endange red +year sof +ro h +po pped +bac king +ba sil +bra ke +mon aco +lgbt q +pra gue +ut ility +cas si +gate way +haun ted +sch ul +ðŁİ µ +shou ld +walking dead +comple ting +dann y +montgom ery +pengu in +ss i +mer chandi +ðŁij ij +chur ch +h ates +cap tain +brea thing +ce t +fair ly +approach es +compan ion +surpri sing +kany e +pe y +hin di +targe ted +lor ds +de ut +di gging +ger man +ru t +ener gy +close st +y un +apo logi +ภ± +s ack +ru p +dd y +port al +d ough +b ats +ðŁĵ ° +at ur +graph er +pi res +mo tors +ðŁĮ ¹ +j c +dan g +tu k +clu e +us c +pag e +d less +bro ws +ju s +ad ing +re marks +oo m +car dio +ste fan +arm strong +âĢ¢ âĢ¢ +ni est +belgi an +bi op +so y +lo f +í ĥ +q t +flashback friday +ce e +ģ ภ+wre ck +mar ines +amend ment +wardro be +vo y +bur ned +guit ars +ra inf +li fel +ssi l +oun ce +exter nal +c key +me sh +she ikh +inv itation +sugge sti +pop corn +phenomen al +an onymous +tun a +chic ago +o val +del y +loc als +( & +pro f +no vel +fin der +spar ks +la ven +in fu +nic ks +qu ant +ra e +exe c +dist ingui +st ances +mu tual +sh al +unve ils +edmon ton +zan ia +a dio +vie wer +brad ford +audit orium +qu is +re act +htt p +l ero +chee ky +impac ts +ta k +ed t +desper ate +t ay +ì Ħ +sett le +bar gain +resu me +un ite +thro wn +ke st +se ys +mar ching +am it +decl ine +sch ar +me tr +stan ford +lin ke +ber ra +dol ls +rug by +jam i +b or +road trip +dino saur +mi k +sun der +re m +b k +over seas +nau ghty +imple mentation +iam srk +lun cheon +fir ing +mi ami +pere z +the e +z on +gi fted +con version +ceram ic +¡ ï¸ı +pe dro +ì Ĩ +v ick +! @ +he ed +si d +b w +docu ment +pl un +gr ants +fant asy +predic tions +vali d +car ved +gradu ated +ðŁijį ðŁı» +nation ally +ch y +af l +re sso +blan k +ri vals +j ig +e ties +om ics +une mp +b ound +sk o +inspec tion +par al +high s +cri sp +b ans +ob a +[ @ +co spla +costu mes +rec all +mou th +ni gel +b ts +ter a +ko v +do cs +west minster +dic t +gra vity +kar i +ro gue +t ted +war k +ida ho +w end +aw i +queen sland +proce sses +cli ffe +m ick +com pens +op ol +the y +cl ari +wiki pedia +salman khan +haz ard +pre ston +swee test +pd f +che es +tr ilo +south africa +bur nt +( $ +con tain +t p +sub mitted +sound cloud +at u +re z +word press +corru pt +n f +ma ker +í ķ +par as +adv ent +ri al +ca fe +fo ssil +!!!! !!! +co ws +c j +sp ur +institu tions +land mark +ent it +re ut +h is +alz heim +we mb +regg ae +mo squ +st at +identi fied +deal er +re am +re land +ten sion +ðŁĩ © +wra pping +deep er +fr at +red dit +ar is +moroc co +.. " +b low +ma pping +pri orities +ing a +swa p +re wards +conspir acy +creati ve +c j +congre ssional +vau lt +ple x +sophom ore +shad ow +ele ss +ðŁĺ ħ +dar ts +aldu b +anno ying +pro ps +n as +alumin um +h bo +offen se +j ill +oni ons +la ur +ta e +har dest +sh ro +ga ining +meas ure +ed tech +cyp rus +tar a +ang eli +car lo +go on +all i +im plic +ju pit +resil ience +ha il +bal anced +) ... +joy ce +gr a +th eli +defin ed +shi pped +main ly +min a +l m +sac ri +o ber +p im +claim ing +ent ers +co rey +bo k +cri ed +cool ing +dani elle +pharmac y +thor ough +ca ke +k lo +outre ach +z ens +digital marketing +val ent +sn p +her b +mr w +caf é +cap tures +no tre +triu mph +pan cakes +cu mber +spi ke +d ation +bi gg +sp er +crit ical +am al +too th +foun ding +a stro +' # +quan tum +th ames +un c +pri de +air bus +kno cked +un defeated +mediterran ean +cal cu +clo wn +sens or +ham mer +for give +cu shi +ber ry +maje stic +elec t +polit an +g ta +k ari +bur ke +sea hawks +volkswag en +re i +landsc apes +cas u +grand father +list ened +/ / +star trek +rainf all +fur ry +vi er +star k +rif le +ff a +leg es +hillary clinton +min us +correc tly +architec tural +pre ce +up side +box er +ðŁĻĮ ðŁı¼ +is ai +de t +pro vo +tis sue +spoo ky +ve led +re con +prospec ts +que bec +âļ « +ig no +anat omy +shap es +w p +p interest +hor e +an es +pick up +ti p +pra desh +hu gh +co e +po k +gram my +well ington +sti gate +ri gh +lea p +king ston +scen ic +go sh +v ani +au g +s ary +zi er +bure au +lin son +con te +fra gr +all an +g aw +lan a +colli sion +surve ill +ren ais +ar range +s ali +do in +br ance +bren dan +our se +in coming +suspen sion +à ´ +l la +educ ators +in tri +da e +bio graphy +bul gar +villa in +go thic +rw anda +e w +may or +meet up +democr at +mor gan +su dden +te sco +car rot +bom ber +mck in +re ne +fun day +agricul tural +haha h +show time +form ing +col a +scor pi +quo te +po ppy +s life +d az +tu b +ne n +mo t +ðŁĺ » +s ore +elder ly +o ve +skin ny +um i +anc o +man ship +we re +g v +k ah +fol ding +ne at +samanth a +dan ish +uk rain +humid ity +nu tri +jak arta +cand les +oooo oooo +at ile +streng th +i bra +bap ti +charle ston +fr ames +girl s +clear ing +glu ten +# # +super natural +ju bi +ph one +he in +dr un +le ak +invest or +y er +dom ain +ball room +mi sh +app li +off shore +bla ze +dor o +âĺķ ï¸ı +win ery +shar if +ad ore +n ir +saf er +si gh +as cri +strong ly +trac y +ck er +ol l +faith ful +ey ed +deli ghtful +vis m +karnat aka +tit an +wh ar +jer seys +re fur +heav en +gri p +pan ama +pre li +glu ten +o dd +cont ent +pon ti +tion ing +e commerce +feder ation +flaw less +ge ar +ti res +by r +pol ice +cu ban +tri butes +tic ul +chur ches +nur sery +di aries +muse ums +snapp ed +i van +wi ght +touri sts +ramad an +t rent +prophe t +won dered +focu sing +hi d +ic ons +i q +ambul ance +pi st +fun niest +time less +sr ilan +bu ys +ki ds +colour ful +a shi +ch ir +mu m +ðŁĵ ļ +let ter +x en +reut ers +pre serve +in ting +ste p +fu ji +uni ver +i u +show down +po ems +surveill ance +suspec ted +ta e +sol ving +tom b +mother sday +car pen +recru it +pil ots +bro c +mix ing +fri days +ty r +represent atives +tra pped +abdu l +free style +clu ster +âļ łï¸ı +k d +sk ill +pit t +ex o +commer ci +muse um +loc ally +g ina +no bel +immun e +fr ac +cap su +main ed +attemp ts +bull dog +be spoke +sing ers +sp elling +seg ment +nat ures +tic k +lip stick +clean er +gett able +preci sion +âĢ¼ ï¸ı +th ood +re ef +no pe +bill y +di gi +mu si +ri val +figu red +tal ity +sun ny +ber k +aw ww +awa its +un real +co pen +asy lum +ex otic +bu en +mo ck +en able +arch y +fr a +pla stic +al mond +amp li +displa ys +abbo tt +s me +x p +ðŁĻ ĥ +graph ic +i ved +mar a +cau tion +lea ks +en berg +ul u +unic orn +cann on +appren tic +ðŁĺĺ ðŁĺĺ +b ball +wil low +at ics +am as +manufac turer +campaig ns +port ers +flo ors +l su +ty pe +ke j +honor ary +it im +to le +min ecraft +d x +ma sh +ri o +consequ ences +ron ald +go ssi +suffol k +mu se +r bi +live music +i van +ðŁİ ¤ +le u +patri ot +man it +lan ca +home decor +de ar +sig ma +ti de +str ings +v ita +sequ el +try na +inve stigate +bor is +ve gan +barri er +mind fulness +web b +hu stle +in da +tan zania +str ay +tex as +c ag +diagno sis +wom an +g w +ob session +l ative +nu fc +fl ynn +moment um +sof a +wal d +vege table +tu cker +supp er +se ab +ar ro +se ag +ven ting +counc ill +sp lat +cal cul +.. # +com fy +odi sha +sto pp +war fare +ca es +à ¨ +co y +price less +in sec +ðŁĺ Ľ +contro ls +empower ment +datasci ence +per pe +gen ic +e res +tru deau +man o +sla very +expand ing +ma he +fa iling +s aga +photograph s +cre st +re on +surf ing +hi e +ðŁį Ģ +ja e +fel lows +south ampton +sol om +ce ster +tab ility +hor n +se ct +he e +cole man +at las +explo rer +consul tation +copy right +organi zing +den ied +mon keys +noo dles +br is +fl or +dou gh +bon ds +sho cked +eco system +care fully +w m +apart ments +cur ve +san diego +must ard +comm en +cere mon +e ch +ru th +ðŁĻĮ ðŁı» +hawa i +fil med +te ar +as ingly +ca ir +wat t +instru ment +ou tta +ye ol +river side +ë ° +. : +nor wich +alo g +migr ants +new man +ri de +spr ink +targe ting +beli eve +tor ch +reflec ts +per mission +ff man +ene mies +bas ics +se ized +sun days +le i +hass an +en do +h c +st ad +le ments +kk kk +nan o +shar k +man a +on ic +treat ments +ear ly +collabor ative +shu ttle +bran ches +mis ses +mained cm +ap ers +ky le +carri e +leis ure +sh et +bir ding +adv ances +ðŁĵ Ŀ +popu lar +di ane +a be +re war +neigh bour +k pop +remem brance +play ground +ru b +krish na +e bola +inqu iry +ep a +lu min +organ isation +abra ham +norm ally +pre ten +jan et +w t +ðŁĴ İ +encoura ging +a stic +bu mp +syd ney +s z +ss ss +gar rett +ðŁĵ » +consul ting +roman ia +spo tting +chanc ellor +ar ma +presti gious +ðĿ IJ +t ad +cry st +compe tit +rati o +cat aly +bro w +j ur +vi king +commu te +y day +la yers +du mb +esc al +genoci de +f ill +gu pta +ste pping +se i +fo to +wild cats +col i +projec t +ear nings +st r +ge ons +comple tion +b m +decor ated +craw ford +af ghan +sc are +visi bility +hi b +direc tion +stro ll +christ ina +alter nate +cl are +sty list +be hold +s ance +leop ard +acqui red +narr ative +ash i +the a +?? ?? +pe as +at ch +sli des +le en +renew able +eng lish +qu ir +co aster +r x +fo ols +match day +mis m +amaz ing +z ig +ke ting +won t +to wel +di ab +sta ke +n m +mel t +e than +gra pe +polit ician +sm en +í ĺ +re o +wedd ings +cat cher +or acle +me mo +ðŁĮ ´ +ec k +rob bie +norwe gian +oper ator +am or +se wing +ju l +x ie +u v +fif ty +me ga +tatt oo +liber als +u pri +traffic king +richard son +su v +ki p +mess y +tremend ous +gl ou +cour tney +la d +stere o +my ers +i dio +^_ ^ +man ning +dy e +w d +thr one +jun k +as u +provin cial +k ook +wr c +fine art +hamp shire +renais sance +b red +fall out +s j +sn l +al am +tor ture +fy i +sh ines +pa w +ch ar +hen ry +c row +aci ous +di an +pa ige +ba re +stock holm +scen ery +ðŁĩ · +jef frey +pu sh +decor ation +ne d +cu te +brig ade +laven der +inv ites +e sports +vo ir +dri ed +tran spl +sur geon +no vels +pul ls +son y +lun ar +man e +i vy +fru str +dor set +sa i +tor res +ssi on +shut down +suggesti ons +writ ing +e o +battle field +u ga +ðŁIJ ¾ +vac u +spl ac +g it +u g +high land +% ) +mer maid +sacram ento +ta ils +p w +ka h +t ell +enh anced +ì ķ +auck land +cru el +ðŁ¤ © +au dre +sail or +gram mar +g love +de on +infl am +fresh ly +k ell +zi p +christi e +mil d +di xon +instru ctor +g ence +ãħ ł +sub jec +constitu tional +crow ds +in visible +ru ins +da k +si p +pla que +p ouring +comple x +z ine +ste ad +f let +trans mission +lo way +ar un +incre asingly +au d +transp aren +cro wned +sc oun +blizz ard +lux u +fi ers +achieve ments +hun ters +rock ed +bas in +vio let +pro ves +achiev ing +pro sper +se ga +flo at +vi an +xi v +pol ic +tur a +approxim ately +wander lust +keep ers +geta way +co d +pol is +br yan +col ts +tal ents +yo gur +gluten free +wri st +gr y +cze ch +ðŁİ Ī +ev ille +ðŁı Ī +to x +dani els +am er +bi ds +weare one +me tab +g t +boy z +pd x +pos session +pu shed +shr ine +reali stic +tri gger +na vi +ru mors +n af +jen kins +tr un +comm uni +Ã Ĺ +gam ers +arm or +moham med +bal cony +y ah +stron gest +rhy thm +unfor gettable +k p +ho bb +custo dy +greg or +r ita +aes thetic +il ation +sponsor ing +n ay +kid napp +sh s +ra jas +me g +signific antly +butt ons +la c +ver sions +essenti als +opini ons +k ro +d printing +wi dely +d k +ur an +y al +reque sted +c n +cur ric +plu m +gr un +v m +dev on +m yo +rel ation +juvent us +rou ge +min ority +min es +jupit er +n ine +oxy gen +fran kie +une sco +fab ric +disgu sting +sal man +dete ction +lan ka +d ac +ðŁĩ« ðŁĩ· +argu ment +shel ves +cel tics +rober to +pi gs +he dge +fau l +pow ering +butter flies +fi r +re make +att i +com o +emp ha +kend all +poke mon +se ating +d ans +bald win +ðŁij » +lesli e +one direction +ti mber +im an +fon t +e der +di on +ste ph +for mat +gre gory +pro p +he x +ru in +sor y +inf er +n aw +bar ak +sd gs +kar ao +lu sh +v ander +end ent +g is +a fro +soc cer +ay an +t uni +lun g +da yof +alex a +mar ath +addic ted +ag ile +hy gi +light weight +ì § +mand ela +jo ey +anc y +hu m +bi r +memor ial +jim in +ging er +v ak +jav ascri +cro ps +orig ins +d ari +pi per +im port +aggre ssive +predic tion +re pairs +cr acker +voy age +ni ke +mu mmy +linke din +country side +bor der +gla ss +per t +s als +sho e +autograph ed +wal nut +colle gi +sal ary +pa iring +ðŁĮ ¸ +cath ol +swee the +defe ats +streng then +roof top +impro vements +barri ers +ur u +t ally +ru led +ðŁĨ ļ +nai ja +emo ji +per cent +gi o +pro bs +on ce +adm its +pa ths +li ar +day tona +pe ters +cal i +cal li +mu g +o sa +ap h +ab y +hy de +eth nic +pla ins +ol f +haha hahaha +holi c +?! ?! +su bli +bl acks +mo t +gh ton +lo vin +b rent +bar u +l ati +de w +ate au +q a +pain ful +bu sters +st atic +ðŁĩ¨ðŁĩ ¦ +note book +out fits +si es +r f +floo ds +Ñ Ģ +thro at +su ici +ro vers +beng al +pre pares +blo g +mini ature +Ø ¨ +am phi +com b +r sp +in timate +green e +Ì ĩ +al tar +surg ical +ves sel +... ? +gav in +g ator +threat ened +z ar +rob bery +di er +promo ted +y g +x s +su bs +inter viewing +threat ening +do zen +me ado +water fall +nintendo switch +cal um +mini sters +dro p +univers ities +war ned +tac tics +ðŁĩ ² +refu se +ad ju +v ast +ðŁĺ ´ +mc fc +lib ya +no filter +distribu ted +re ser +ron nie +de co +javascri pt +mon k +intere sts +fle x +mar tha +sti es +oo d +ðŁ¤£ ðŁ¤£ +e un +b ali +g omez +sti mul +moder ate +d ity +ir is +stra w +consist ent +direc tions +adop t +sal sa +cro o +reco vered +black friday +lan caster +accep t +weareone exo +buil ds +free man +air plane +diti on +bel ong +jam ie +pit ching +li f +om in +cri spy +pre pping +ve g +chan g +accompli shed +graci as +dolph in +elec tor +culin ary +super bowl +wal a +pur suit +black berry +be an +cardin al +pro ved +immigr ant +stric tly +holocau st +pass age +ha us +cou p +pur se +har ass +< < +le ed +ado be +st ad +legis lat +par ked +pri yan +sil va +kri st +s the +fun ky +ig a +sett lement +ph s +t mrw +stre ssed +hun t +ho ckey +treas ures +cham bers +ol u +hu t +mar ley +tex ture +wilder ness +mm ing +poten tially +om aha +ju dy +to es +spo iler +distingui shed +feli x +ah u +recommend ations +zom bies +hit ler +tri ple +colla pse +motiv ated +ulti mat +gg ling +so y +ci gar +fo ren +vine yard +gl itter +fin dings +colon ial +hun ter +eri k +den s +beet le +lot te +sub tle +s matter +tru sted +experim ental +nam ents +ðŁĺ Ĩ +regi on +acquis ition +bre eding +quarter back +am reading +oo td +ru de +initi atives +st out +hy ung +out come +al fred +mic s +exper tise +bacter ia +pengu ins +jump er +valen cia +bar k +ing day +sell ers +contrac ts +hou ston +commissi oned +adap tation +swan sea +santi ago +common wealth +ju dging +sub mission +sco rer +tom my +ñ o +ex quis +fil ing +explan ation +alli son +wemb ley +ri dge +chev y +san tos +own ership +cogn itive +favour ites +sh ed +phil anthro +dele ted +go dd +s nor +gui delines +ff ing +je ep +cli ps +sw amp +an or +guil d +bol ton +spring field +munici pal +goal keeper +ye on +ðŁĺįðŁĺį ðŁĺįðŁĺį +ãħĭ ãħĭ +water front +gra ve +contempor ary +ar ity +ÃŃ a +sle eps +sy rup +al am +pi re +co yo +moto gp +ty son +kej ri +cir cul +sing ly +cr unch +complic ated +nostal gia +k op +mo ve +k ale +mac ro +mid west +h ans +tri bal +nu de +௠į +bey once +congratul ate +cat er +leagu e +ðŁĻ Ĭ +la dder +cra shed +tech nic +karao ke +harass ment +ro ts +experi encing +kri sten +ðŁĩ ³ +ðŁ¤ Ĺ +reflec tions +guin ness +illustr ator +ðŁĻı ðŁı» +cen ter +nar row +comm ons +regul ations +Ù Ĩ +har m +cro ft +cu ssion +hong kong +st ical +intern ship +zo e +cho p +hoo ds +estim ated +batter ies +berke ley +smooth ie +shau n +cro s +~ ~ +cam pe +hu mp +b g +proto type +cl ick +shaw n +re viewed +tem pl +p f +jed i +blo gs +ray mond +as th +ba h +av ail +scot ch +leaf s +nik ki +to k +hol low +ur ges +of t +un like +lat in +u e +cat ering +mil i +alter nati +ma ver +Ð ¸ +ag le +pre order +lu x +cu cu +ðŁijı ðŁijı +t art +âĿ¤âĿ¤ âĿ¤ +arab ic +rapi dly +ar rang +all en +travel tuesday +pa ws +flo ws +st ability +flu id +ca pp +can berra +uu uu +sp ani +demon stration +m la +plac ement +m w +presi dents +awe som +bever ly +ani st +ne al +father sday +referen dum +la hore +o aks +deb bie +half way +gho sts +de bor +matthe ws +fi at +t fw +pre sen +rob i +de d +bro ck +laugh ed +am ounts +bam boo +kinder garten +eat en +mtv hottest +break out +u sic +fra ser +legis lative +p ang +modu le +sam my +go ver +ear ns +expe dition +gar h +concep ts +char lie +la va +bachel or +veg gies +deter mine +el lie +un locked +fru it +dal la +cou pe +wash ington +depo sit +iv ory +pau la +chic ag +gu cci +ðŁİ ĥ +cul tiv +pier ce +li fted +stu mb +re cover +musc les +conduc ting +cb s +mcla ren +sophi a +cel lu +oce ans +up loaded +game play +mal dives +kim ber +avo i +rac er +ca ine +cav s +h ana +li ga +ra ven +inter vention +inaugur ation +oo h +at traction +merchandi se +tune in +li king +juni ors +int ended +att acking +aqu arium +i wd +comp onents +sur ing +cent u +yogur t +ðŁı ĥ +show room +op tical +ty our +ju dge +yi eld +an to +pl c +transparen cy +recy cled +chi ef +ar om +ambassad ors +plan et +âĿĦ ï¸ı +om ed +vaness a +cour t +mar gar +hal ey +v r +reg ina +pd ates +hi span +live stream +âģ £ +ya hoo +gal la +secu red +w ir +bene ath +off l +n il +am b +ye g +out let +u te +pe ep +lind say +bent ley +... ! +he el +trilo gy +vo s +ty re +there fore +tor onto +ab i +simp li +ja e +exten sive +eleph ants +s or +orient ation +im peach +re play +constru cted +peter son +pa is +por ted +custom s +colla p +ad u +high lands +sal em +shel by +ko vic +stra in +ro sie +sen ators +snap s +bo bb +suz uki +bla des +k p +lo lo +gener ate +si ght +ma e +struc tural +predic t +jump ed +ah mad +sun g +just ice +gla m +vol vo +jubi lee +de tention +lo sses +pu ri +every time +Ð ° +ra o +ed ge +li mer +rese mb +har old +re tri +sacri fic +surpri ses +am c +srilan ka +bar bie +men s +fin n +ag s +ukrain ian +em brac +î IJ +flav ors +hom er +lau re +ou th +pr iced +ver de +fir m +ah s +cu b +tre y +par anor +pro fit +in dv +who a +har sh +al ot +crit ics +hu bby +fi gur +gi ra +ca stro +chan el +in put +origin als +ten ant +yy yy +ture rs +lincol n +co on +lear n +ch ou +ac are +o les +din er +hy p +bizar re +mc r +let sgo +decor ating +ðŁĮ İ +al ison +ar vin +f d +reha b +mccar thy +lot tery +da h +minne apolis +eli gible +diagno sed +emer ald +destin ations +s ans +or y +bla zers +n v +ba il +digital art +no c +mal ta +sol ar +pi pes +alleg ations +no ck +po pe +bri d +premi er +n x +present ations +ef a +bo ws +val ve +opp onent +Į ë +visu al +ing le +cate gor +e ter +po is +dan i +at tract +neu tral +th ene +cra shes +fred die +ut ili +c st +awak ening +slo ven +quali fy +pro of +fair y +le v +fre ight +enjo ys +cup cake +flav our +â ķ +protec tive +ðŁijı ðŁı» +is u +ad mir +h mmm +continu ous +ai res +rap tors +showcas ing +y uk +pa ste +follow er +instru ctions +sp ru +@ __ +the o +debu ts +ve tte +sto w +es of +ach ed +sul tan +sand wich +som alia +franc o +car ne +flu ffy +al pine +jas mine +he ated +viol in +ple ss +divor ce +per former +phi es +port sm +dar a +kir by +lo p +chill i +for th +sky pe +ðŁĩ®ðŁĩ ¹ +celebr ities +ed y +ve e +po ison +ey el +gra bs +ssi c +un o +wester n +rail road +am er +numer ous +s v +fo w +fi st +âĢ ĭ +reque sts +mar tial +em my +accept ance +lau ra +ภ´ +er up +hyun dai +out lander +u tt +wrest le +esp resso +demand ing +g dp +geo graphy +sas kat +tro ll +confe der +su es +se m +be ts +t ful +to sh +teach es +col oured +gal way +mac y +dis orders +bb cra +at em +fen der +lit ter +e sh +provi ders +renov ation +nomin ate +ps g +nomin ations +jen na +shar p +some day +z ur +bra ins +che shire +pre y +hu go + ¿ +to ken +r v +car r +tac tical +zel da +kay la +fern ando +photograph ers +j our +umb rella +woo dy +congress man +du mp +le vy +ju an +d azz +sign als +la in +an u +mic hel +por ch +al den +sibl ings +y ale +pe el +sw ick +gg in +ll c +k ale +s con +il d +pat reon +re el +qu in +wit t +mar ty +moo dy +ton i +der y +g ators +speci fically +dd in +ly on +tr ick +meado ws +p j +bor gh +vi k +tu r +bron x +pu ff +lan tern +ðŁ¤ ¦ +g ently +be stie +fac t +refu sed +fas ci +mp y +ðŁĶ µ +cross over +mead ow +indian apolis +duc ation +sle y +loo m +mix er +new music +film maker +prosper ity +li m +week end +cre amy +neu tr +lu ther +h v +nor thern +tw o +h ra +cat ches +appear ances +ha bit +kitt ens +n v +illa c +inf an +regar dless +liz ard +dun k +cur tain +ac om +in tu +ve z +e min +fl ats +calend ars +em power +ru ined +hun gary +vi d +we x +u lum +aber deen +o sa +k t +ma ssi +se emed +s den +' ? +tele phone +de fi +insp ires +me ow +z ones +bl ind +pl y +tuc son +advent ure +ge d +oy ster +ðŁijıðŁijı ðŁijı +out put +tt t +metal lic +sma sh +ucl a +sco ts +perfe ct +lu cy +regular ly +sp ic +rel ative +ath ers +mis e +batt ling +deci des +mat a +occu pied +random ly +cat softwitter +gi an +ball y +al ties +al lies +im men +sy rac +ðŁĴľ ðŁĴľ +l lan +au r +k ut +lam ar +affe cts +n ra +star war +ðŁ¤ ĺ +sc ram +en chan +pro cess +luxu rious +ar ray +sher lock +comp ati +dor f +stre ss +m su +s with +sal a +sof instagram +fo il +under stood +qu ay +r p +c ade +ja w +en ab +en coun +ðŁİī : +do ck +satur n +mu ll +lay out +ra rely +happ ily +fix ture +or ph +over looking +her bs +m itt +pil lar +nol an +pe tty +str y +u i +mu k +o res +o vers +á µ +re creation +we sley +ri t +kejri wal +sto cking +g v +subscri bers +moo se +ma e +ber t +opp re +assign ment +u ro +high lighting +cal vin +we igh +cambo dia +av on +ke m +dis abilities +read y +char gers +p ads +iz ing +illi an +tru ste +col leges +associ ates +alban y +mil ton +cr on +bu r +har dly +si ghts +anti ques +e cho +surpri singly +ha iti +cap t +ph p +op io +ine quality +equ al +ken y +sch mid +autograph s +ren t +qu er +cit rus +challeng ed +te c +epi de +fe st +z hou +li me +citizen ship +cry stal +convin ced +mess enger +copen hagen +âĿĹ ï¸ı +war ran +develop ments +ï¸ı âĥ£ +fore x +hi ro +sne akers +xi de +vi va +stere o +bat ting +ss el +ho st +beng al +critic ism +q c +cr un +attemp ted +ry e +determin ation +cre ations +d read +label s +pos se +anc er +joh an +si ster +partner ships +les bian +k st +guaran tee +bar o +fix ing +ma son +m ous +chem icals +t less +bio diversity +par o +bhar at +ac ol +refu ge +en te +t iti +dys sey +respon ds +lef to +in er +se vel +rahu l +ol ine +frank fur +cho reo +enjoy able +c to +strugg les +wood land +heavy weight +gen s +rece p +ac cred +ðŁĺ ¡ +trans formed +list en +at op +n k +sur ge +be re +gover nor +prison ers +clau de +t ill +mu lator +emo tion +water loo +star t +ðŁĩ º +clean ed +grand mother +fear less +afric an +astron omy +ðŁı ģ +ภĻ +the world +su itable +anth ony +k and +tt en +meaning ful +disc lo +jaco bs +à ¸ +tom linson +ghe tti +ty pho +sub stan +as co +te k +nag ar +mu d +am on +vacc ine +f ty +fle sh +no el +infl ation +portu gue +glam our +tra m +v re +te qu +roun dup +w yn +rejec ted +mosa ic +si ghting +cal f +o ta +com position +go pro +gonz ale +e ed +b ard +tu e +effec tively +we en +al to +ri bs +rel ate +thir sty +fu rious +di m +ch ard +perfu me +s ny +chur chill +k of +master class +wa ve +ðŁĶ µ +er in +own s +to be +sk illed +te m +go f +en i +tor i +cra zy +l ick +resi stant +ici al +ag ar +! : +g ali +del aware +bl itz +koh li +pu ck +avail ability +hi malay +influ ential +cro chet +victor i +read ing +ho bby +vie t +j as +en gra +sk ul +ðŁĩ² ðŁĩ +educ ate +tech no +distric ts +blu es +se tt +seven th +lear ns +ee ee +apocaly pse +hang out +cru el +mu tu +bru h +hel en +she er +c tion +kle in +tex ans +ce real +sh ine +ne red +gra s +am bro +f ella +hin du +matthe w +li ma +mir anda +je wel +so ho +euro vision +neighb ours +chand ler +be sides +ðŁ¥ ° +ast ros +thu mbs +ren ault +ra ve +hi red +ðŁĸ ¤ +it ary +z or +bla zer +k ine +ea u +kat y +dc comics +pe c +ro dgers +water proof +kill ers +super int +pre serv +as so +brew ers +promo tional +sc am +villa ges +sket ches +ju icy +for life +au dit +so lo +fundam ental +len e +philipp ine +t end +conserv atives +sponsor ship +dd le +a ine +h tc +os i +hul k +w af +ภĻ +evalu ation +ant ine +sle e +robert son +roo sevel +ag i +sophi stic +emplo yers +bubb les +ko wski +inter action +sh u +bou le +ic an +j are +han k +leg itim +k nicks +kar ma +recei ver +per ks +u h +sta ir +sun i +labor atory +gra ves +voc als +oo t +c ture +thri ve +tic o +ãĥ ³ +b w +carto ons +mcdon alds +dra w +y ung +pl er +li d +eth ical +groo ve +ent a +international womensday +pat ron +wor ries +ðŁİ ħ +ðŁij ĭ +ka therine +di az +tor i +bach chan +tru st +min eral +ic om +buil ders +bor n +col oring +lat te +ca se +revolu tion +tra der +ox id +chi pot +inst antly +sou thern +se hun +pro b +her nandez +lis bon +hu awe +p ong +me a +ro oney +wheel chair +ke en +be tt +cor in +regulat ory +di splac +ka ren +sch em +sun sets +wh ales +remin is +he p +hi de +mar cel +pand ora +do yle +th fc +ot to +no kia +trans gender +ko v +hawai ian +sha ve +so vere +exc er +nick i +pu g +st or +ro th +wee t +leg al +dig nity +po w +hom age +ðŁĩ³ ðŁĩ +s re +can on +la x +wo ah +quart z +ñ a +gree ting +flick r +nai robi +advoc ates +an c +vi i +eu gene +th ra +c re +el an +pen sion +th letics +ton i +re agan +x v +sto re +ben ch +har lem +todd ler +sent enced +âĻ¥ ï¸ı +glob ally +che aper +u f +ma m +nic o +ik u +tho u +ni st +dam i +th ala +rho des +sal e +bow ls +â Ī +las vegas +sanc tions +adm ire +mat ched +un able +travel er +ele ven +straw berries +âĢĶâĢĶ âĢĶâĢĶ +stu dio +jac ques +im s +valu ed +s no +cheese cake +n xt +e os +s x +f x +ton ic +hat ch +chic ks +gra ds +hand ic +r ory +as p +ri pped +denti st +n en +lu fc +âľ Ĭ +di ge +hop kins +sher man +f da +for all +ash ley +str and +h y +liqu or +buffe t +ess ence +phar ma +suri ya +ðŁĴĻ ðŁĴĻ +festi vals +z an +re fresh +pur ple +uni forms +kenne th += ) +as an +hel sin +transform ers +k ali +person alized +chal k +bo bby +â Į +the mes +depar ture +prin t +illustr ations +qui et +agre es +gri ff +Ø ³ +m iti +toge ther +conven ience +ab ar +car lo +turt les +info sec +some what +ar lington +scholar ships +emir ates +mu ms +st ella +auton om +fe ather +g ore +nom inees +fragr ance +Ñ Ĥ +w ong +thea stern +gr e +z illa +is i +bump er +go o +do zens +ab duc +âļª ï¸ı +o ils +don ors +sil icon +i pod +fortn ite +ðŁĴ ¨ +tor o +spark ling +consci ousness +pal a +nu m +moun ted +ffin s +thi eves +team mate +pra b +om er +ta pes +bo d +mit su +ste w +e re +p bs +tu sc +lo we +ra de +parliam entary +h m +ed gar +ðŁijĩ ðŁijĩ +to a +a gh +hon i +s late +ge ek +ap t +hard t +ta p +horiz on +grow th +make over +hi l +paper back +id an +reha bil +gi u +possi bilities +let tu +fran co +bo ss +ach er +does nt +mo e +ta ker +huss ain +ml k +di l +th ia +ham a +real ised +raven s +curric ulum +m ith +k night +ted x +r v +isai ah +cumb ria +birth days +f ing +pre z +mu barak +exquis ite +clear ance +y en +par i +ev o +à º +modi fied +app lying +imple ment +disco vering +chap man +indie game +dis k +crowd funding +mach in +li vel +sty led +âĿ Į +ma king +rehear sals +nutr iti +subscri ption +and ro +cre ators +car ries +ky lie +cam den +appren tice +tax pay +c ca +tuesday thoughts +pis sed +er man +dete c +freed om +mer i +.. ! +psal m +sun light +per spec +be ings +book store +rock star +fun ctions +p ence +fav es +z n +obam acare +sp ill +coven try +pi geon +pi vo +ba it +kol kata +av al +don or +wa h +privi leg +tra ditions +rajas than +ten ess +portugue se +yn es +tack les +de fic +tor n +pol ling +thor ne +in a +bened ict +bar ry +cal ories +ver dict +save the +nor ton +off ice +main stream +impro ves +fr on +respon ding +real tor +scotti sh +de clar +r l +shi v +supp lier +re sting +swee ts +qu i +. âĢ¦ +whit ney +startu p +thank you +teach er +h alls +ha ve +hand made +pro ving +quar tet +ro chester +li an +virtu al +mend es +of icial +mid lands +x box +meas uring +o vo +accommod ation +bri des +collegi ate +intellec tual +in car +ni ag +ðŁį · +sf w +coco a +co ats +civil ians +presi dency +mat rix +sweethe art +tri athlon +wag ner +ra dic +plann er +the o +execu tion +k um +the walkingdead +sc ar +ro tation +blo gging +bom b +re son +bb les +st are +assi sted +e do +brand ed +war nings +thor pe +acknow le +satis fied +sho res +ri d +dor a +phys ically +bi gh +appro ves +ha h +ric al +vers atile +pret end +lu m +ab hi +ye e +sp it +ãĢ Į +dj s +ash tra +j t +ven ues +gram mys +cy clo +tr acker +over watch +repl ica +el yn +nr l +lind sey +hom o +ballo ons +kitch en +si s +am os +ende av +ðŁĴ » +a rec +thu g +hoo ked +hr c +new york +bur gh +americ as +patric ia +ug u +ap athy +ha st +psy chi +cor k +petro l +ðŁİ ¬ +ak u +po pping +psycho logical +au x +g ma +cad illac +wa ste +auth ent +bri stol +nam e +que er +to ber +jer ry +com in +ch ant +privileg ed +op ar +lo ser +tex t +mar ker +stri es +equ ally +ak i +christ mas +gare th +ble w +em ma +imag in +se als +che at +conditi oning +j ana +ren s +dar ies +o asis +disc ounts +coun cil +i ka +shir ley +vou cher +al ps +w x +q r +dri ft +attemp ting +ut c +Ø ª +gonzale z +m f +jo ker +paralle l +pa re +aspe cts +proce du +n p +am a +rale igh +bright en +gu ire +radi ation +cre scent +ho b +il le +str and +v ore +n ard +che st +di wali +av atar +al der +d ling +pa thetic +ðŁĴ ĺ +spir it +jor ge +film making +ðŁĻı ðŁĻı +challeng er +b j +down town +ht ml +ade qu +twi sted +in ely +( ' +wra ps +oper ational +y ne +n us +mag net +market place +health ier +snap shot +dam on +inter ven +fe derer +ow ls +biscu its +j p +ro deo +blue berry +lec tion +fron tier +summ ers +re yes +pede strian +go l +caf fe +refur bi +bou lder +me ghan +speci alty +la ss +e i +suspec ts +appro x +rr r +ra th +st im +cru shed +he d +wh un +lo af +cr ore +river a +gene tics +so ck +wa sted +ny pd +answ ering +do ve +bel la +ol in +du n +fi ji +pre tty +spar kle +y un +j d +euro pa +li fts +am ber +mu r +te k +boy d +roy alty +in do +ri b +go tham +ti est +inst alling +ke mp +the photo +cos mic +) )) +whole sale +loy ment +eas y +su ing +sett led +af p +pro ver +suppor tive +re es +ne ath +deli ber +c é +wel come +pic oftheday +new born +pat ty +sun s +si est +fl int +diffe rently +spo ilers +troop er +g ins +cor y +look out +equi pped +ta pe +to by +resear cher +u sh +ke yes +al ma +induc tion +k w +k har +sl ick +bri de +e ur +cra ving +book ings +ch es +tr unk +vern on +sp her +cryst als +rel atively +pom pe +uni ons +val ley +par a +w ant +ok c +de af +ser gio +len non +sh ay +cr a +v at +he e +t we +liqu id +pol y +ðŁİ ģ +b ent +be aring +motor sport +bar be +te sti +han i +fin ancing +astron aut +water colour +ri sh +comic con +gar t +wr ong +ber n +it an +ste pped +fil ters +c low +me x +dem ons +all o +expand ed +comm and +et ers +go ats +si ri +y r +pot tery +mari on +i le +el an +san to +person a +du ke +hom eless +li ghted +wheel er +chang er +cab bage +sur real +ham burg +sma shed +str an +k not +i art +ob i +be dro +di al +th ick +b ingo +fu s +vacu um +con ve +ati ve +accur acy +accoun t +re fer +ri z +spider man +ban a +r ite +u b +ab s +medic al +lin k +si em +> >>> +be tra +g lowing +re actions +pupp et +spa ghetti +ang s +re medi +pray for +roy ce +char lotte +£ ï¸ı +gh et +affe cting +ro de +soci alist +mo ses +az i +o it +re porters +cd t +ap ing +s nat +minim al +wa ist +sie ge +>> >> +ri g +schmid t +h are +ec a +thor n +he mp +es the +cly de +th a +don ut +moham ed +ling erie +le gg +carpen ter +perform ers +de a +imag ined +cur se +la sh +ct r +agu a +ro ar +gr i +ro le +j fk +resur rec +roosevel t +maril yn +sm alle +will is +wa ited +char ities +the res +li k +origin al +car i +c ough +cru ci +la gun +contra st +k ou +arm our +re moving +t ent +maz da +bri ghter +thi ef +cor ner +tequ ila +buzz ing +al bi +p am +az ure +disc oun +pixel art +possi bility +ham ont +tra des +bu da +hi ve +vers y +fin ch +tran spa +em i +terri fying +in qui +g ba +sub stitu +collec ti +plac ing +cin dy +k ann +pa tho +diamon d +mour inho +guine a +anthro po +air s +pu mps +ì ļ +pas o +cur ling +an ita +resi dency +ne wh +jo on +cigare tte +que ue +ex trac +gam es +spl en +ex press +public ly +bon nie +tribun e +ba ek +reason able +c or +timo thy +she eran +Ä ± +f dn +su tton +concentr ation +carav an +x avier +al ger +cy lin +freder ick +ner ve +pe ak +lettu ce +j ail +pre game +kav an +up graded +eco logy +squad ron +gra pes +goo g +pa stry +ðŁĹ £ +ãĥ¼ ãĥ +mil ano +awa z +presen ter +ðŁĮ ¿ +her d +king s +tem plate +fl our +h v +k ley +i ya +spe c +at er +frankfur t +co ch +tex ting +del i +communi st +regi ment +ele anor +anticip ated +ðŁijĮ ðŁı» +thephoto hour +ran o +survi ving +simul ation +daw son +ar in +aqu a +m or +âĢ¦ . +cin o +ira qi +sh az +dun dee +we s +dra u +hann ah +s news +occup ation +ste en +x m +ang les +sett ings +gur u +kno x +or ca +shap ing +w ent +dr illing +zz ie +br i +kis sing +fin d +ma ine +âŃIJï¸ı âŃIJï¸ı +ðŁĮ į +lar ry +bu sted +ta vern +acti vely +- " +replac ing +no d +un lock +. " +âŀ ¤ +affili ate +to w +l n +happy newyear +di f +j m +green wich +contro versy +daw g +con dol +sav annah +compens ation +touch down +te o +amb itious +embro i +convic ted +iart g +bar ack +tr ance +testim ony +au dition +thum b +my ths +be x +que z +orch id +den y +entit led +hoo d +gr ant +in box +blue jays +r illa +smalle st +bur den +in famous +divi ded +boun daries +t ter +el t +wy oming +be verage +me sm +one ws +budd hist +y ana +as sad +is ms +bar rett +predic ted +back to +tw it +e there +cap tains +escap ed +ay o +lam borgh +gard ner +la ps +k al +adverti sement +insec ts +na po +am en +ac y +r and +g k +te h +k athle +tri dge +pan cake +at ro +pyram id +bu la +paral ym +gau ge +en cies +tom y +biscu it +but cher +quali fier +coun ty +ke i +po ols +dar ker +should ers +ðŁĩºðŁĩ¸ ðŁĩºðŁĩ¸ +sp re +( " +writ ers +g m +ðŁİ ĵ +k nit +hu ff +mt b +philli es +o st +den is +g art +licen sed +inter face +ex cel +d well +from the +co fficial +az zi +appear ing +fore st +n ana +ke ith +manufac turers +beck ham +) ? +e se +col ony +delic ate +ut ter +mc in +transpl ant +pre ferred +par d +ari e +hu b +po ds +perspec tives +pic t +del u +app er +be than +p mo +crimin als +femin ism +sh ack +circum stances +fel las +prote sting +wa x +sugge sted +t ator +dre w +om ni +fa ke +kath y +re b +del ine +ber ni +mi sty +ðŁij © +er able +break through +men swear +millenni als +chan yeol +la z +inser t +rep lies +phra se +n x +ihear tawards +audre y +gran ite +rac ec +ori e +ter ra +innov ations +britt any +at eral +pe ar +bio logical +sh ments +institu tion +m sn +frequ ency +d man +neg lec +t f +ste fan +fox news +ty po +comm s +sequ ence +car men +wh ites +econom ist +exe ter +se um +re sorts +cas ually +bun de +divi de +Ø ¹ +ga g +cre ed +reti re +cau cus +rapi ds +wrestle mania +tul sa +sunder land +fundam ent +o di +yam aha +v ary +intri gu +el se +be acon +an gie +tra ded +tran sm +g ents +kn itting +gal ac +ðĿ Ĺ +u to +sea side +hol t +re rs +far go +train ers +mon soon +b ale +sou ght +mad die +h w +co li +fr an +fav s +ðŁĴ Ķ +int ent +r ally +s bs +lemon ade +barack obama +bre ad +stick y +explo sive +chel ten +t j +as soc +ram en +hom ies +v log +mi ster +lor d +âĢįâĻ Ģï¸ı +aly ssa +sketch book +ru mble +cat ch +migr ant +discipl ine +un likely +chronic les +fl ora +sl ams +am id +s boro +coo p +ju mps +tran qu +mel is +sof ia +en ri +gab e +sy ri +nicol as +cha i +w v +be cky +foo ty +ta o +suppo se +ðŁĺįðŁĺį ðŁĺįðŁĺį +plu sh +ri sh +ðŁ¤ ĵ +k ha +satur days +ac cent +he c +lim it +carl ton +wi red +taylor swift +ðŁĺ ij +sq l +har ro +recipi ents +g at +go p +th of +amaz ed +gh an +ðŁıĨ ðŁıĨ +por to +cla re +di stant +na c +ohi o +ðŁĻı ðŁı¼ +mt n +anti bio +dino sa +me sa +par tial +b v +lear nt +lov ato +questi on +ex tract +gossi p +gi bb +niag ara +ðŁij ¨ +displa yed +so oner +ste vie +nug gets +ml n +bro m +tur b +give aways +stu pi +bl ink +c ili +conven ient +mo h +vi ve +f ric +cau se +cham ber +cu les +ne arest +is se +small biz +t j +canadi ans +smar ter +bra sil +ra re +que tte +w ha +cand le +at omic +ðŁijį ðŁijį +warri or +relax ed +stri ps +ne ur +k ka +r fc +jen sen +reco vering +respon ses +sal am +ortho dox +acti ve +ell ers +n it +âŃ IJ +metro politan +centu ries +vi da +gra ding +transpa rent +sim ple +do ts +superint endent +elev ator +autom ated +red skins +ima m +summer time +jona than +ge aring +michel le +confl ic +m ice +to te +publi sh +pa x +) - +na iled +á ´ +tele scope +ser bia +ba b +ape u +st ically +sen ti +r ats +isol ated +grou p +hat red +paranor mal +stan ley +ali on +safe ty +l s +ठ° +nex us +alexand ra +mas ks ++ + +tr on +au k +brother hood +brow se +mix es +sim one +mu sk +appro ve +lo la +ex p +per th +fu turi +un seen +d m +chel se +sc outing +o we +portsm outh +k ram +mi ze +di spen +su p +d lc +adver t +tere sa +is le +cy cle +met all +shi elds +marin ers +ra z +ing en +fun d +an go +jon es +o ka +mad den +broc coli +domin ic +situ ations +mer o +cric ke +puni shment +d b +sha king +ðŁĺ ļ +m q +ari ans +le h +cla w +we ds +d ure +ni el +j elly +gour met +tra ders +le vi +w ages +kne es +wi se +heaven ly +avi d +melo dy +z ack +ban anas +apprentic e +pro p +fun ny +o de +respec ted +me gan +fe wer +dra fted +med it +gra pe +us army +cru sad +vo cali +prepar ations +non sense +us age +th r +ro th +wiz ards +insi de +promo tions +mon a +red sox +si g +eleg ance +ch ia +univer sal +ãĢ į +ra ja +un ga +pol lin +filip ino +ak a +t sun +ik on +bi king +decor ations +z ac +cade ts +hum our +ag m +re ppin +vac cin +elo ve +u w +dia be +galla gher +az er +do l +a while +pro minent +wel sh +t ann +' ) +bi en +wa g +in al +c wc +wic ket +ur st +q anon +x e +out door +dun n +star r +co logy +ric ky +u efa +reb ounds +s music +inf ant +ðŁĻ ĭ +so p +u mber +hand ing +beg in +sor ting +ha sh +sp ati +re k +buda pest +black hawks +dele te +ro m +can did +auth ori +de bris +spe cul +inter section +marri ott +im ran +ðŁĺģ ðŁĺģ +cru ises +ram sey +rafa el +aware ness +vas cular +beyon cé +ru g +ðŁĺ Į +festi v +ar am +s able +bas il +p ill +flo oring +un beaten +implic ations +u f +w ound +for ge +poin ting +po ts +popular ity +ðŁijı ðŁı» +mani pul +s lots +deb ates +abs ence +ver mont +never forget +wri st +gl oria +ren ce +hu sk +mel ting +ðŁİ Ł +br aces +tim ely +transform ing +am ps +ma k +po e +ah an +gener ally +nd p +ale ppo +unic ef +pro fs +nor d +ma sk +jackson ville +v v +sh ells +bloom ing +oper ators +char coal +ne ville +ma gi +chi p +sam a +ir an +re forms +accu mul +ru e +æ ľ +web sites +ga on +devast ating +sto s +glaci er +ra pp +chipot le +pr a +or ous +rom ney +seas on +decor ative +c isco +dit ch +compla in +ll o +assu me +ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤðŁĺĤ +n els +cent ric +ft w +car rots +tat a +can ter +per ience +li ers +demo s +bl unt +oper ate +reserv ations +le ah +sub stance +di son +an te +elec tion +v ue +squ are +non profit +ca a +f su +y am +ãĤ ¤ +v ladi +comple tes +mar i +philli p +ne ill +er as +ka it +men do +mahar ashtra +g p +dan e +provi dence +ther apeu +juven ile +me mo +in corpor +aa aa +seven teen +teen ager +à £ +or ns +wi de +cu teness +tw d +ff les +bar a +com edy +over time +y az +bar on +unemp loyment +ðŁij ĭ +exter ior +den se +cent res +match up +history month +artif icial +qu it +e sk +war n +cr itic +j af +ðŁĵ ² +inform ative +fu els +recy cle +nam ing +stri pe +sol ic +mole cular +dee pi +con vo +s sel +na e +de scent +ti z +accoun tability +ter ry +r ito +sl ay +em o +dem ol +sens ation +co v +tor e +round table +y ol +excu ses +ॠį +tur quo +hh hh +pod casts +cele b +me ssi +li o +man n +contribu ted +u z +gener ator +ele ts +veg gie +indu l +en suring +detro it +pun jab +tran spor +instru ction +ad d +por cel +pan eli +cir cles +persi st +clay ton +sp n +dog softwitter +is nt +sp r +retail ers +p w +hun gar +el ena +mon aster +gu atem +je ssie +an z +ra shi +fle e +car ving +fau x +l al +hen ri +d jo +du ll +s ana +lar a +glo be +cri mson +com pass +pau se +na b +lion el +ba ths +u fo +invent ory +sin gh +sat an +ðŁĩ ¸ +ce ments +in form +gener ated +bi den +av g +tas ks +de er +sa u +ja iled +pa stel +sc c +na il +steel e +per is +lamborgh ini +pur sue +mar gin +u ch +bo sch +dra in +cl ara +bo m +lat ino +web ster +rose mary +r ha +s oun +billion aire +not ch +percent age +con or +' " +hom es +earth day +h ort +big gest +di sin +wal ton +edit ors +im ma +om ar +equi valent +pharmac eu +ah med +cam eo +han ni +under rated +ge ment +micro bi +v oo +honor able +obe sity +âļ ¡ï¸ı +limer ick +invol vement +st agram +boule vard +bur g +blackand white +liber ation +fi ve +inter im +sm m +rival ry +cap abilities +stat ements +thu mb +ve d +sw ans +bar ber +e que +seren a +hel m +noo dle +sam pling +n awaz +sing le +thunder storms +sh on +in ev +ë ¯ +to pp +orch ard +bi an +ðŁĺ Ķ +door step +salv ation +marke ting +r ons +cle mson +ra vi +in take +stand with +sin a +ha iku +ple y +elector al +ph illy +la ys +electr ic +cap turing +u pp +er gy +believ ing +cul tures +es day +inva sive +ed ed +spee ch +end ur +viet nam +boy cott +pe de +deli ver +ðŁĴĸ ðŁĴĸ +mer chant +st ir +den ies +poc kets +o ti +cu ddle +ro land +mm ed +den ed +lear ners +hoo p +sour cing +h acked +di m +environ ments +ben son +jud icial +wor cester +pear ls +govern ments +arri vals +cor ners +tun ing +la bour +y m +or dering +le wi +i fe +hygi ene +thou ghtful +indone sian +campaig ning +princi ple +assau l +ru bb +at v +wil ly +en tre +il i +ph on +du ties +âĻ¥ âĻ¥ +sn akes +lo op +am ar +conver tible +bon ding +ment oring +max well +ethere um +destro ying +ax is +ca iro +fin nish +sho ck +ðŁĺ IJ +cal eb +com a +pe dal +co re +contin ent +el son +temp o +helsin ki +ac p +tack ling +st ated +bl a +dou b +sma shing +a ja +camer on +disru ption +warm th +being salmankhan +bullet in +o de +syrac use +ar an +mc gregor +bul k +an ton +confir mation +sp ine +im ran +instru c +jac ks +chi o +pal m +str e +embarra ssing +un t +elimin ate +to ss +c ise +a ws +oni sts +sh inee +jo s +ho se +li vely +opp onents +mo vements +recogni zing +sandwich es +sh akes +exerc ises +se at +profe ssion +merry christmas +lu gg +adopt dont +mar vin +byr ne +un le +he t +ku wait +rah man +aspe ct +humb led +gen es +f and +long time +) ; +cam pu +an gus +ðŁijį ðŁı¼ +q uran +sle eves +s lic +¸ ë +twel ve +your e +i ke +go gh +b st +dic tionary +reflec ting +to on +yar n +em bed +ðŁı ´ +re serves +floo ded +ver iz +du sk +estab lish +pro li +au d +ritu al +or bit +declar ation +recor dings +cam o +cas sette +good luck +cu tter +bo p +b ho +che ating +paci fic +ma res +tim er +col t +tr ous +tomor row +han sen +ci e +w ang +ban i +circu lar +ac ute +far mer +co ys +p se +ir ving +w j +haw kins +b ison +ur day +cru ising +o te +k ath +whi stle +your selves +ant is +sla sh +thorough ly +ke sh +ser ie +ex em +en ig +guil d +sh red +ho gan +ap o +ä ¸ +pu zz +ne tball +au ssi +panor ama +ws j +av is +ar ming +hum ph +brow ser +cri es +fo ggy +mat te +ðŁĮ » +it er +tal lest +by ron +cap tiv +je su +any ways +flag ship +p ton +we y +fay ette +financi al +f oul +solom on +jenni fer +cucu mber +ar gue +tex tile +wrest ler +john ston +pa stor +ðŁĺŃðŁĺŃ ðŁĺŃðŁĺŃ +cac tus +edi ble +re served +ric hie +met res +ingredi ent +h ella +un to +ch ol +cele bs +po ets +gra ham +hay den +coinci dence +b aw +communic ate +flet cher +/ - +tole do +ecu ador +coun sel +s laughter +line ar +at p +os u +jo el +ev ed +conqu er +ru stic +plic ity +recogn ise +room mate +cr acked +jas per +ph er +ðŁĮ º +wo ven +mo ist +ff c +ste ering +ni sh +stand ings +frequ ent +ar di +haz el +as msg +bau m +d art +si dd +nat h +ch ero +card board +c ss +n sfw +pa ir +ðŁĺį ðŁĺĺ +occur red +homeless ness +mal one +ph e +xi a +pad dy +decl are +theat re +b f +per sian +ta d +ax e +susp icious +lam b +mu cho +sen ior +st as +k ite +st ing +gra d +k af +wat ering +Ø ¯ +spi ral +th ms +educ ator +jer ome +of c +clo ck +su l +pe mb +.... ..... +park way +de aux +restric tions +m ons +need le +e j +le agues +water melon +am an +pl enary +max im +w ab +coming soon +bry ce +vi gil +super market +fortun ate +turquo ise +presi dent +li v +inter ns +feel in +fix tures +stun t +st aged +premi eres +lo k +prac titi +shor tage +log ne +ve c +con cor +roc ke +li g +com posed +syn thetic +di p +cam ila +ch is +j ou +su san +eye brows +supp lement +satis faction +moham mad +ti bet +house of +pu n +as sam +shado whun +psy ched +se duc +mand atory +her bert +sc allo +stream ers +proto col +block buster +produc es +sch nei +lau rel +tri be +time hop +pl a +mod elling +tv time +mtv stars +wi dow +me tric +ch am +con do +flow ering +ale c +d ms +inten sity + ¨ +mccar tney +islam abad +k b +f fi +ph al +anal og +f ond +h acks +positi vity +treat y +sub marine +conne ct +sel en +categor ies +cu b +organi ze +si k +quote oftheday +remin ding +am or +loc king +ðŁijı ðŁı¼ +comp ound +et te +b out +rec ur +fe rence +mi zz +tren d +hip ster +for tress +forth coming +preli min +o dyssey +ang p +del ici +even ings +ðŁĶ ¹ +i q +d w +da ir +kathr yn +christian ity +moon light +ha b +wh oo +f bf +se th +genu inely +pa x +char ity +deplo yed +b nb +bu cs +ju dg +con ge +plant ation +im press +car a +sc lub +sco py +land ers +compla ints +b ama +re build +x y +real ism +sh our +le in +brac elets +mer a +assas sin +an chor +ðŁijĮ ðŁı¼ +lin en +con fron +chronic le +comm ent +cat alog +il les +gor ge +me try +jung kook +love my +sent in +se em +fit ness +alli ed +ts man +digital transformation +pr an +lo ft +min ton +alden richards +en vel +cher ish +certain ty +zz z +rhin o +per kins +en rich +cape town +ome ter +sec tions +ske leton +def enders +ðŁĺ Ŀ +pen c +bri t +ja h +capital ism +ðŁ¥ ĩ +baz aar +re me +ex t +kk k +conver t +stor my +b ye +kar an +chry sler +ad os +pre ssed +syn c +ation day +dang er +bad ges +refu ses +em powering +ly m +ex ports +adoptdont shop +ðŁĩ ¯ +th c +awa ited +focu ses +fin ed +o at +haha hah +âģ © +n family +fi ona +luck ily +thr illing +ty ping +out break +di es +he u +craw l +ne sses +o ath +scri pts +gee ks +ðŁIJ Ŀ +p b +mathemat ics +al is +________ ________ +gymna stics +acti vism +recommend ation +gre n +wa in +cour ty +n apol +cau li +hor nets +g als +jo ckey +dir ty +at ar +enor mous +pe st +greg ation +an os +ii ii +def ends +black historymonth +at x +mb c +lugg age +wit ch +co b +la sts +cu m +gg g +ba thing +n ar +ce bu +ðŁį ĥ +navig ation +min e +re jo +ðŁİ Ģ +gif tide +re ta +use less +pu ll +defic it +al lu +ati me +it v +tr illion +pu e +ac ies +proce dure +l ori +jen ny +c ad +ul ously +dr ac +promo tes +ing the +can u +woo hoo +na omi +zar dari +ts u +be ir +sd g +le ver +we ber +ab ud +lun d +crow ded +deplo yment +ter rain +ken ny +ho f +witne ssed +lo ch +j k +bul ly +w ren +poe try +do ff +ww i +mo red +din i +cul ture +promp t + ¥ +maur ice +to pps +r m +cor respon +ab out +jewel s +gi br +eag le +ðŁĺĺ ðŁĺĺðŁĺĺ +l ending +sou ven +ç Ķ +contemporary art +establi shment +j ong +âĢ¦ " +gat or +patri otic +mc coy +v ape +human e +feli z +coach ella +re posting +ste als +fu ller +n ering +at ra +( - +bla ke +he ather +wor ms +discipl inary +rede mption +y ard +am in +" @_ +d nc +t ds +k appa +ne wark +comm its +spe ars +j ams +t and +msn bc +inter medi +aim ed +at ic +teen th +observ ation +kash mir +kavan augh +ou l +san francisco +re u +bel ated +cho w +pass word +st ills +deta ined +sar i +day ton +dar ren +itali an +ar th +amu sic +ar bit +w m +v m +he m +dou g +my r +a sho +pre v +vin d +bra h +sta g +ภµ +pre views +gu k +con taining +leon ardo +sad dle +ru shing +st av +lon gh +gam bling +ve gas +reserv ation +end ale +bal a +fl a +vari ant +he dge +bulgar ia +nat ali +we aver +sol st +encoura ged +ap c +as parag +ne st +cycli sts +fe l +ìĬ ¤ +overwhel ming +pey ton +j it +a post +mb le +ble eding +neighbour hood +a very +expre ssions +mac donald +gi gs +mon ds +illu sion +n ct +cam ero +over head +my th +ol y +vi o +et v +lau rie +unve iling +pri or +con n +iron man +di ff +day in +crit ici +con go +re vision +wal e +direc tor +p ines +black pink +gar ner +cur ated +manit oba +h ac +common ly +bar ton +.... # +mor tality +live smatter +philos op +shor ter +con vince +fre ak +vend ors +insi ghtful +el ly +sens ors +e led +s berg +weight loss +u kip +sp ur +priv ate +qu a +ss c +, ... +supervis or +advis er +amaz ingly +less er +at es +mah on +oooo oo +sar as +pmo india +waff le +un ders +toler ance +sculp tures +her sh +kno cking +smo ke +cathol ic +gri m +tra veled +fli p +ge off +dinosa urs +sle pt +scar let +ok i +compla int +ob sc +nam i +la g +cross fit +u fc +mc cain +refe ree +sad ness +pen ny +li eu +mo de +ki er +vol s +w is +el on +she a +ba o +son ia +cla ire +em manuel +moist ure +di gest +vi ii +t eller +ch on +access ory +night club +foss il +aw an +hu sky +ab original +brand on +ffici ent +cou gars +ste d +ad mitted +igno red +content marketing +ag as +v ase +execu ted +negoti ations +she ad +n and +tab lets +go th +ts al +d fw +on ep +protec tor +sp ho +gaz ette +andre as +ss er +comp ilation +ha v +contain ers +bro ker +soc al +porcel ain +hy uk +air ing +ðŁĴ ° +publi sher +scen ario +spart ans +re viewing +itu des +ed el +pear son +ba sh +mau i +a ad +ðŁĮ Ĭ +li u +ul ate +program mes +fav our +web design +real ty +motiv ational +cro sses +' ... +bus ch +adjust able +ar jun +mist ak +dimen sion +pi stol +weigh s +en y +unve il +indy car +gor don +f ade +fran ken +qual ities +bet t +loc ate +ker r +sp c +confu sion +ne e +luck y +bas es +dep ends +fire fighter +ol a +re t +mar oon +ðŁĶ Ĭ +w am +defin ing +whe at +bi l +é s +b hai +psy ch +ta u +ic ans +thi k +ob ile +inspec tor +ìĨ Įë +ill on +go s +ev angel +fa i +si st +voc ation +bur ge +chi stan +renew ed +enthusi asm +en ting +ag ri +ike a +m sc +aero space +sens iti +memo ir +hosp ice +co caine +der ry +mechan ics +Ħ ภ+tin o +reduc es +collec tors +in justice +supp re +v ana +ab un +nap a +su sa +os lo +e ff +en core +lic ence +ched dar +z al +moun t +ðŁĴ IJ +threat ens +!! " +archi e +fu tsal +scu ba +jo s +gn on +se xi +s official +compar ing +domin ant +tof theday +fa it +propos als +gi ft +y as +cn c +l r +ha b +reser voir +beli efs +gener al +mar ti +t d +est e +ì ł +wi l +ðŁij ¯ +ðŁĶ « +sp x +et work +excer pt +e instein +hir o +sil hou +team ed +per ception +corri dor +mental health +hin ts +ben ny +induc ted +sw x +wi desp +spe ak +cher yl +dru g +ðŁĺ ķ +h f +asparag us +myster ies +fitz gerald +off er +therap ist +care er +dam aging +ts d +per u +wei bo +y ay +phoeni x +disc re +mac book +bar ker +stig ma +sp read +roc kies +kang ar +bri dg +pa i +bi shop +ta iled +capsu le +ðŁĴ ĵ +ge of +roy ale +short listed +o ste +ash amed +ch app +key e +cl a +screen shot +austri an +nati ve +en ight +juli et +michel e +ðŁĮ ´ +travel ers +pi l +football er +win chester +ðŁĻ Ħ +azer bai +gold eng +organis ations +interpre tation +predat or +ofthe week +lo gan +pok é +mari e +cal la +t nt +cin de +ge tic +fit fam +gra v +ow ens +ðŁĮ ± +shoot out +sal is +commissi ons +co he +p tic +ni xon +hi a +amb ition +mar ine +cruel ty +t k +cru de +sal ty +jim a +mon go +ir ony +on wards +arre sts +strang ers +ig er +cycli st +ra g +exten ds +tra dio +bour g +mo i +el la +e able +lex us +au l +der a +histor ian +mor ton +ti ff +man ner +ko t +d k +po inted +mar qu +a an +en ey +du blin +on poli +em ili +secre t +fl o +âļ ¡ +ba j +ste ep +accompan ied +rum ours +dev i +purch asing +fi g +pu b +sch oo +autonom ous +go alie +x ia +autom atically +re vers +ter o +fu ku +titan ic +shoo k +sand als +see kers +exc av +nor dic +bigo live +ba ke +r att +z ak +ne p +ðŁĺ ¤ +cand y +billi ons +book worm +pp et +à ³ +sur faces +sc ars +phil ip +do gg +ci gars +co te +transl ated +cur ator +sin dh +han gover +bre wer +on es +el ton +ðŁĴª ðŁı¼ +mar cu +elli ot +righ te +di oce +ru ss +rail ways +grand son +as cen +apo logy +awa it +mob ili +re spir +parti san +oli vi +stri ke +yo o +white house +expre ssed +pu ps +bed ford +cul tur +fro gs +fly ing +cav ali +c ds +fri ger +street photography +re solve +tali ban +kan g +cru shing +ju m +ðŁĺ Ĵ +william son +tan g +cur ly +t man +veter an +fa ire +artificial intelligence +un anim +pre n +back drop +fr ances +oc cer +doro thy +work ing +ar thr +conver ted +day light +serv ant +pad dle +compla ining +thir ty +nad al +ak u +ibra him +ad dressed +p iss +green house +batt alion +si mulator +out lets +embroi dery +ðŁĵ ± +fis cal +ger ard +sas sy +ðŁİī ðŁİīðŁİī +vent ures +mer it +public ity +ðŁij Ī +sophistic ated +c tu +conven tional +condol ences +isra el +tra dition +ar an +te ss +gla d +ðŁĺĬ ðŁĺĬ +correc tion +ge on +am d +or ship +be ast +ch ment +ì ŀ +nic o +wk nd +wel s +cushi on +beli e +vo c +idio ts +under neath +pu ma +corn ell +en ation +lu l +swa ch +ab ig +u rer +mi e +form erly +ca f +er nal +chor us +juli us +sen ator +âľ į +wh ir +salv ador +ph d +uni fied +boo ster +graph ical +w rec +son ny +mi z +dere rs +s all +ven s +tusc any +wi d +y ong +kur ds +w az +trol ls +mac ro +cat urday +pre ssing +sa sha +cent ennial +gu sts +em c +be fore +den ise +cu st +ðŁĵ ¢ +lo oo +base l +eng land +y olo +ar du +manife sto +do ha +ì ľ +kni ves +bourne mouth +bi bl +bar b +al icia +Ø © +com er +cycl one +g it +ane ws +character i +vent ura +in tra +sf giants +hu t +be a +dar win +ell er +al v +re ese +bl y +kar an +conclu sion +man ny +fla kes +unite blue +nad u +co pp +ed ges +lanca shire +i als +o tta +philipp e +l ent +che e +ment ors +festi val +an ism +compli mentary +r j +pu g +d ine +we i +cli ffs +sar my +ti veness +treas ury +il and +after math +rabb i +ou n +bou quet +herit age +zi on +sur render +shen an +in ks +kar l +gh ty +pol icing +exam ination +ce y +per su +measure ment +hydro gen +lu han +âłĢâłĢ âłĢâłĢ +war i +о Ð +j y +fow ler +mis h +al fre +âĺ ij +bb naija +cat alogue +recogn ised +sa ver +hu skies +col in +mun do +si va +p ng +discoun ted +man utd +fre sno +de vin +prelimin ary +tro phies +pla stics +du g +pro cu +indi go +g ard +dy lan +pit ches +ground breaking +in son +bl ac +an thology +f h +expl ic +r ard +admi ral +so chi +la shes +splen did +en vy +ad v +sex y +festiv ities +stic king +bi b +thr ill +op p +ari el +botan ical +endur ance +fe males +br icks +vat ican +black pool +ber mu +br ough +roll er +bi d +sue de +sloven ia +mm ing +ml b +med alist +di ans +rehabil itation +ne on +s go +li thu +ram os +z ed +pi anist +inten sive +broad band +stu dy +peter sburg +lu ca +ah hhh +phys ician +dill on +tele com +gri ef +mu n +ac ro +si ded +s ly +blo ws +classic cars +tri um +ar gy +? : +h ri +marsh mal +âĢ ĵ +to pping +war saw +tran sc +preserv ation +b av +re friger +experim ents +ä º +gl it +sli ga +g age +fac tor +flav ours +br ony +sp o +cook book +carri age +aw ay +ny fw +on ian +w g +simp sons +ro lex +ðŁı ¿ +cro sby +ãħ ¤ +cre di +syn dic +pu bs +ali fe +poor ly +mac ed +ðŁĺ ŀ +behin dthe +w enger +n ats +ðŁİ Ł +rubb ish +procedu res +typho on +opho bia +er do +fu el +vi era +bu mps +millenni um +new zealand +lec tures +it on +mil ky +respon ded +ê ° +landsc ape +.. @ +bo ther +âĸ ¶ +z hang +huawe i +tu ition +s worn +in u +y or +pa olo +au ditions +ab il +malay sian +ho ps +fe athers +mp le +au ts +ã o +boun ty +ic he +ì ĺ +sh q +pin ot +ge ars +disapp ear +video games +t na +alzheim er +ðŁĮ ŀ +a ji +under wear +swit ching +sign age +o scar +ec on +dro w +cl int +pl ated +gun dy +emb lem +ho es +ici st +nel ly +juni or +road show +miner als +at le +alexand ria +ac claimed +v ell +shi va +ad he +en ne +amne sty +h ounds +councill or +ðŁĴ ¦ +aes the +part nering +influ enced +mag no +fl are +extin ction +civil ian +maje sty +va il +law makers +rac ks +mc c +ori an +sp ices +er rors +may er +co ca +pa i +s ooooo +reti ring +ba thro +ðŁĻĮ ðŁĻĮ +âĸ ª +su f +endor sement +buil ding +broo ch +pal la +arvin d +ag ent +kar ate +r hi +c tv +ta ine +um m +ba x +reig ns +uni of +enterpri ses +adel e +fla ke +at tire +bru ce +ba hamas +gra vy +sa in +che ek +tri vi +lo v +e en +bb lo +lady gaga +itt a +. "- +du stin +observ atory +eigh th +bloom berg +kh s +f cc +gi st +commemor ate +ve er +sexu ality +ed c +nic ole +vac ancy +u ser +son a +:' ( +dipl oma +t end +up grades +Å Ł +jura ssic +cardi ac +dr s +widesp read +à ł +dail ies +vend or +sim plicity +wi der +len ses +supp lements +de pos +ob served +vin es +parti ally +renew al +collabor ate +ali g +fin ity +ph u +zz y +pe tit +ðŁĵ ħ +z in +i gu +sm ack +fall on +ðŁĵ £ +back wards +comp onent +o so +compati ble +bin ding +zur ich +thom e +w ounds +ly ric +fresh men +sne aky +fi bro +di et +emplo yer +in sect +h ated +sch er +raz or +n sw +boo ker +califor ni +av fc + ° +preten ding +pep si +al is +un titled +k art +grand parents +e the +o ck +lux emb +visu als +small business +abdul lah +min ho +su baru +h ra +reve aling +heart breaking +clar ity +am g +sl r +** ** +âŀ ĸ +recor d +ici ary +min ded +ye h +exce ssive +knu ck +icec ream +tru th +ev ic +ta stic +ant arc +ren dering +, , +mit t +loren zo +st patrick +bound ary +zi g +vo cab +osa ka +fur n +tu n +gu l +s ounding +blo gger +utter ly +g af +adv ancing +l cd +mar gin +lifel ong +solst ice +sh ra +wa its +ple ar +bre ach +en ligh +ad er +itt le +c ation +ho on +stu died +?? ??? +k ash +ev angeli +ps l +wei ghts +met als +ty res +tur no +wi e +car b +g ale +se al +sun ite +am ic +patter son +á n +eu ph +up stairs +quali fiers +khali fa +apple music +ìĨĮë ħ +vau ghan +al ter +cru iser +mu a +t ana +kat rina +id ols +spo iled +secre tly +fi bre +part nered +um es +gi ov +com et +screenshot saturday +k eller +fil tr +fe t +con way +pe u +bad minton +gi d +m ound +don key +bu ff +lea ther +lar gely +bro ch +int ments +am use +r k +sto ve +impac ted +con t +cr acks +prison er +bar i +contrac tor +ori oles +domin ate +pol ar +am elia +dr c +ðŁijĮ ðŁijĮ +vi st +su arez +injec tion +blo oms +ðŁļ¨ ðŁļ¨ +sti ff +pay pal +sno wing +thur sdays +goo se +we dge +educ ated +weak ness +de cker +abud ha +bree zy +Û Į +hope ful +o bi +rai der +gh am +de u +se ve +par tly +fu t +infu sed +mer ri +than e +some time +hu e +me in +cre dit +sli ding +ran de +cher ry +dead pool +sh ol +ar am +under wood +sky e +distur bing +m nt +poli shed +guardi ans +ha dn +pic asso +ari us +ak shay +ir ri +j h +happ en +la kh +dal ton +at the +s well +mar sha +re h +cour s +j kt +top us +serv ice +r ink +hack ers +dono van +hor o +tc m +may hem +cha se +dev ops +ken sing +sc up +sh ere +quali fication +c live +ton g +n ancy +mar is +der dale +ber man +cinde rella +jol ly +ci c +loo t +collecti bles +hom icide +g ge +epide mic +su ites +mu ddy +gi mme +e rec +- * +tal la +lis le +embro ide +ðŁĩ© ðŁĩª +veriz on +ve ctor +be anie +arti san +ga in +flo res +vi gil +u so +ðŁĻı ðŁı½ +grin ding +gh er +air ports +respon sive +shaf t +can cel +ceremon ies +e me +at ari +bru shes +eag er +bo hemi +children s +yan kee +ma a +suspen se +mor an +mac ar +sun flower +cre w +vo id +ke ar +fashi oned +jen nings +sunday funday +sub missions +me ad +her man +wa i +crit ically +le um +baek hyun +for cing +co bra +ãģ ® +acqu ire +al k +ge ology +pri mar +import antly +ire z +bunde sliga +curi osity +sen a +stric t +con soli +win ters +ven om +chelten ham +ðŁį º +cen a +t at +ba in +glo ver +under cover +as ses +car n +memorial day +am eli +i rene +ch on +syn thesis +spe edy +mitsu bi +sla yer +compos ite +under stands +pe w +inter rup +hen ri +mor row +an om +thof july +g lee +thre e +ðŁĺ ® +and hi +ch att +renew ables +ye s +trans fers +!!!! !!!! +bab u +du ter +lo ops +pe ers +o ilers +pau lo +ic ation +h mu +war a +mer cer +hom eland +fu ji +ale y +year book +re m +re en +ab sur +bo is +] : +caes ar +shot gun +kur dish +o ren +ra e +anci es +ty pic +f h +def ault +re plic +lu k +trans actions +r ys +infan try +ðŁį ¾ +cho w +chick ens +ba gh +wy att +ay e +gg i +bre ws +ed itions +mi ra +commen cement +pre su +peris cope +ic hi +guatem ala +zam bia +pain ts +wit ches +wan i +un dere +cro y +vo ws +us mc +hear ted +theat res +shu ffle +le vel +mul tic +squee ze +fer n +app et +post al +mal t +on board +ld nt +co o +s sc +k ac +ðŁĺ ĩ +sc rap +mar cos +deal ers +ann u +mill er +co ve +ul ary +vladi mir +be ef +th ur +pick led +se same +bengal uru +mo tt +kathle en +hi st +no tor +dr ank +du chess +snow fall +e ff +tin y +j n +sy our +speci alists +scot us +bay lor +eve rest +mali bu +pre m +harm ful +l ali +b ates +g ye +differen ti +and ra +geome try +el over +black out +== == +ko ta +inter act +asi an +la yo +samu rai +fi del +exhau sted +gla di +pd t +spher ic +anti qu +guit ar +stu ri +ho pper +ang le +f ills +sla p +mi th +rod ney +ong i +in som +pre venting +cassi dy +ap ho +ore gon +lo in +ham mond +contribu ting +f n +gar ri +ori on +comp elling +escap ing +aim ing +plu mb +bi stro +be asts +concer ning +bo e +do pp +shop local +stumb led +âĤ ¹ +naz is +âĢįâĻĤ ï¸ı +gest ure +war ts +us open +hi ggins +char li +hang s +bom bers +° : +fe eds +c ch +st il +nic ola +ðŁĵ º +clam ation +tro pic +af ro +ou k +expen ses +der rick +al ine +fa w +reg ard +im er +sat in +thi um +ry der +pear l +te ss +mm mmm +sen ses +ðŁĩ ¹ +positi ve +exhau st +occu r +nor ris +lil ly +is les +direc ting +yo fficial +count less +sam ar +on stage +flo ck +mir rors +arch er +mo i +k d +vi v +in os +si kh +le i +sen sory +br its +kno x +chest nut +op y +coli seum +z af +di vin +adap ter +:) )) +tem ple +ku n +hel mets +t df +gu ide +m old +o ids +lu ther +he is +monaster y +sp ree +k lu +brit ney +jagu ars +gre ats +c cc +ky rie +machin ery +cric ket +re ro +ab o +aspir ing +semi finals +ale ss +sig natures +var d +me th +her bal +hol den +king dom +ap or +reg gie +ore o +palestin ians +em mys +sec tional +ro i +ney mar +qu el +cu ll +l ka +haz el +estim ate +ul ties +go w +be a +purch ases +bel ts +protec ts +m é +gue ssing +bb o +clau dia +fr acking +jon ny +el k +cel tic +al mighty +ra je +courty ard +ig i +can es +ðŁĴª ðŁı» +bank rup +le thal +âľĮ ï¸ı +graphic design +vad er +penc ils +rough ly +dan te +m fg +const ell +cam el +j b +bloss oms +en to +balo chistan +cine mato +ill ard +jer sey +con sent +dent ed +con templ +sch er +hol i +lou gh +st our +a yo +begin ners +cur b +v hs +a jax +du ff +av eng +dom est +commit ting +ai red +cha p +hedge hog +disappo inting +freel ance +in land +char ms +ðŁĺį âĿ¤ï¸ı +ai sh +m x +buck le +ti dal +per mit +bo ating +ra cha +kend rick +b ello +b hi +ple a +estim ates +l b +apo logies +jay a +bb l +ast oni +inter state +main taining +el bow +mu p +ep it +ðŁĺ ¡ +viol ations +def end +be h +sl c +am ir +pur i +ti um +fi fa +blur ry +scri m +ðŁĻı ðŁı¾ +ma ple +rel atives +âĺ Ŀ +cho c +con nor +⾨ ⾨ +whi sp +list ings +ma ze +than king +ri dd +grass roots +shi fting +desper ately +gor illa +den i +ju les +stra th +g ley +ja in +bu ick +t anner +ðŁĴ Ŀ +ga e +pri m +it ors +n ano +separ ation +armen ia +bor deaux +ðŁ ħ +pj net +bu rial +e bon +glo ss +re new +gri er +spe eds +comic books +sym boli +pur poses +ãħł ãħł +spati al +no table +ci on +n ps +ho ffman +nor man +rt g +du sty +situ ated +tr an +k fc +em en +nic kel +hast ings +sett ling +gr it +l ena +w aw +art s +gu m +ca regi +le wis +sapp hire +rememb er +embed ded +t lc +bl at +serge ant +el sa +boot camp +bow man +photo graphic +pill ars +direction ers +classi fied +no is +ve er +barre ls +wh oop +ðŁĺ± ðŁĺ± +fe male +petro leum +medi a +e fc +poké mon +ठķ +enthusi astic +var un +pro files +pedi atric +acci dents +con rad +jan g +jo jo +ac or +ob server +l f +live stock +for gi +fo s +el m +an and +go e +c ere +avoi ding +gri t +om an +thank fully +scat tered +nick y +cylin der +chees y +di ver +mahe sh +cav es +ear liest +qu inte +subjec ts +b end +gul f +vocali st +glu e +pat ches +un stopp +sny der +demonstr ating +pi o +hor ns +wic kets +and the +r ama +yo on +stra ight +bed time +or ang +bul lets +sa urus +min ers +inci dents +! ... +ðŁİ ¸ +ag ers +hand les +stat es +in ity +d ons +incredi ble +emin em +avi v +ru dy +moz art +folk lore +appli ances +mt l +fre y +di as +hu a +page ant +stri ve +im prison +bul lish +r ana +al erts +bb mas +hy per +derby shire +re cre +re dd +debor ah +cosmo s +law son +mel anie +psy cho +ho or +doo dles +sni per +shad y +man tle +canadi an +new year +inter actions +separ ated +cor ds +spiritu ality +ap u +it o +p ct +pel osi +rebel lion +se iz +wor cester +sec tors +ul i +san ta +Ð µ +ðŁĩªðŁĩ ¸ +bi ased +class ical +gam ma +dee plear +emer ge +back er +sur ance +hand crafted +ðŁİ ¥ +franc is +mill an +ic i +cro wn +wo w +stri ped +un fair +relax ation +³ ï¸ı +embrac ing +she alth +pale o +martin i +dist illery +wr ink +or k +na th +hay ley +cour thouse +si ber +sa di +quiet ly +mel t +m sm +me h +smart phones +rel ent +pp ing +war wick +co logne +gli a +cot ton +pro g +lon e +ip sw +star ters +expan ds +u mp +su ed +ski pper +infe ctions +ing le +à ¡ +cler k +demonstr ate +ac ar +ðŁĺĤðŁĺĤ ðŁĺĤ +ti bet +bun s +alo m +demol ition +ssi a +g st +[ ] +so ar +âĺ Ģ +ðŁĺ ª +ðŁĵ Ĭ +dee pest +beyon d +are t +att ends +activ ated +di mit +âļª ï¸ı +high lighted +magaz ines +rum or +az za +steph ens +dol ph +sho ckey +mat s +we av +mel an +serv ers +tra um +ku sh +æ Ĺ +bab ys +pa z +a al +la use +break ers +canter bury +ul ture +mi ri +euro s +tane ous +impre ssions +du tch +il d +gh i +pur due +adequ ate +l p +sy ner +ang ler +du rable +gal ore +ro wn +mg mt +ðŁĵ Į +lu cia +âĺij ï¸ı +zay n +bor row +. ( +north umber +cru sh +eng a +su sh +extra vag +t out +ma hal +ali stic +ther mo +gall eries +es se +chi bi +attrac tions +lex ington +legislat ure +docu mented +resi den +brow nies +w f +st ool +plan ets +sho ppers +conduc tor +ms p +tr icky +fru ity +end ra +feel the +whi pped +hair style +re fer +oo k +oc topus +audi ences +ku mar +after no +op tim +c fl +ni p +gen i +alpha bet +ann ab +lam in +accep ts +l ng +ðŁĺ « +t ine +ac om +cheer leaders +t k +gr on +v g +k ung +ja x +dha bi +r ss +mack enzie +beir ut +clean up +gy psy +st ell +bur ger +hurric anes +educ ation +st ina +âĻ¡ âĻ¡ +unfortun ate +jere mi +bad ger +at ers +: âĢ¦ +ter ra +subli me +stu d +y mca +mr u +duter te +bren nan +bul b +mel o +yl on +hack er +c red +gu d +as an +pad illa +embroide red +vietnam ese +pione ers +projec tion +re boot +id c +an ey +pri mer +suff ers +win ding +p on +sto day +mor n +u ch +all in +adid as +eliza beth +tu ck +o graphy +ðŁļ Ģ +be g +os borne +ghet to +r h +cn n +ir ma +ma kin +cab les +mur ders +oc ks +inst a +al as +si k +cu ff +la re +foo dies +o vic +at om +geome tric +em pathy +ภµ +cent enary +newsp apers +administr ative +ðŁİ Ĭ +sti ve +contrac tors +le tt +tas mania +awesom eness +den sity +ve en +prince ton +frequ ently +re ject +gh i +modu lar +ceram ics +sh ag +ki wi +can vas +sweat shirt +an j +ti mm +napol i +il er +appe als +hamil ton +ma yo +we ave +arrang ed +whar f +occu py +b vb +as aki +ot ter +nor m +vi es +de tox +tion al +dere k +id ad +ad missions +constitu ency +u pper +woo t +allo y +se ve +lu b +un comfortable +ed win +ab re +d wight +ar che +virtu ally +sp ol +pri e +ai i +er r +swit ch +bar ack +se ok +cou l +wn t +pou l +o live +caffe ine +cardi ff +notor ious +de mp +ex cess +bar r +t ford +a jay +bump ed +my thology +shel ley +fal con +shakespe are +must angs +no ted +bon e +civil ization +sy d +par sons +un official +hy ped +sp ends +oppo sed +v ings +space x +noti fication +deci ding +bio tech +out si +sal ah +! . +fe d +ss y +c ms +bad gers +cr o +ela ine +n ba +dy our +n ant +honey moon +climb ed +conom y +ath a +m ell +ne bula +nature photography +juli e +bm x +inve sted +mon o +lieu tenant +wat kins +techn ician +o se +ka e +ì Ľ +mc queen +pre ach +trav eller +flexi bility +ze bra +reta iler +p ant +ben der +brand t +squ id +war rant +veri fied +cas s +pier cing +hon ours +t ying +mor ris +kis sed +op rah +panor amic +me i +splat oon +wich ita +ari as +gal li +indy ref +good times +athe ist +confe ssion +ow ski +re pping +ad ditions +mechan ism +z im +j ans +su f +cho pped +beg innings +vitam ins +ãħ¤ ãħ¤ +or th +po les +ru b +antarc tica +indie film +web cam +ket ch +bre tt +cle ment +her on +defe ating +hydr o +buc ket +wand ering +sid ney +future of +b inge +on ies +knock out +administr ator +syn the +l ent +jan i +bar ley +premier league +ner ds +cr m +bra s +bot any +evol ved +rot ter +ro wed +tum or +weal thy +Â Ń +mon arch +li shed +da hl +ðŁİ ĥ +bu ch +ken yan +Ø § +red ness +assemb led +se mit +hud der +shro p +ran i +lear ning +mor y +iti a +geo graphic +worl dof +f b +pho sp +boo gie +am ped +? ... +che w +dwar f +ar us +s sen +ru sty +recru its +h k +gar de +app lause +vol umes +invol ves +ta c +hand bag +trans late +ffe l +se ym +aqu atic +trans fer +zo di +and r +acade mia +cr ater +te z +ar se +adap t +col oni +snow man +mal i +hang in +di schar +oy sters +pho e +colon el +w ba +hispan ic +thri ving +sh y +ag les +sales force +cre me +so les +la fayette +â ī +ter ia +ach a +sp erson +go go +car ly +the ore +am ore +vo x +af t +ãĤ ¹ +stap le +mu ffin +di agram +ino x +su stained +av ent +me ta +arbit r +dec ay +ado le +Ð ½ +ec ol +ph o +n k +o cu +gr anny +ç a +luxemb our +stad t +alber to +le vit +am as +d x +or phan +co bb +as c +lo gy +immen se +chan ts +off line +p ent +bre x +w inger +plan e +i el +nichol s +ca thy +nar uto +low ed +/ // +ignor ance +cat astro +you ts +sch en +buil d +haz i +s ine +critical role +du g +dete ct +lo gs +en amel +stpatrick sday +ed die +co pa +cigare ttes +ho ff +kay a +la goon +ra pha +air borne +choo se +puer tor +ke v +gui ding +fro sty +bor ough +mir a +ðŁİ Ĭ +cade t +anu sh +yo gi +e ger +fl ing +slo pe +nin th +we ston +foot wear +f n +may weather +a am +pla in +stair case +witne sses +work outs +ro bust +dex ter +co hort +ðŁļ Ĺ +sp ell +ha ze +o om +organ ising +wild fire +cont acts +av on +min o +upd ating +ðŁį » +li thium +ing ual +k is +au ga +lo com +de duc +u da +th ak +boy le +mp er +hot tie +eri k +re vised +is la +travel photography +oo za +en qui +confe rences +clo ver +g room +cur ves +live on +per f +displac ed +bo log +xx xx +ðŁĺ© ðŁĺ© +te al +ve ssels +rain forest +cal ci +pan ther +gira ffe +ta sted +imag ery +pad res +day time +bas s +ri pe +opio id +nu e +vin yl +invent or +sen s +process or +mu t +gad gets +bibl ical +shann on +jacqu eline +car y +the resistance +ali en +n vi +co sy +bi har +fo ley +ren d +mu gs +fa ken +cl one +ni allo +gra bbed +chi hu +power house +n tt +chero kee +spon ge +imple menting +rh ine +le one +ðŁį Ģ +pret tiest +infra red +impro v +swit ched +tu bes +con tr +bl k +projec ted +be aver +yo t +bbcra dio +thi gh +per secu +apologi ze +w ack +po ster +oli ver +az a +lou d +( ?) +f the +women shi +spar row +blu sh +us able +sc ales +it ative +peu ge +ne eding +legg ings +glam orous +mat ur +c z +wat t +da b +tam ar +et sym +bau er +heart felt +h n +else where +bir ch +alu mini +hu ck +e me +j l +traf ford +d z +por tions +ana sta +arthr itis +esp n +ber gen +viol ation +yo shi +c z +northumber land +clo sures +ðŁĩ¯ ðŁĩ +smi ley +r w +tel ugu +inten si +gre gg +ve ga +dun geon +south bound +ba il +domin ican +semi final +chap ters +h itch +van ity +trans iti +recomm ends +sati sf +bar ca +queen s +( ( +de struc +stra it +ra vi +dess erts +in tru +har am +k os +fo e +fat ty +pais ley +magn itude +dri dge +com ey +schem es +vision ary +our t +down loaded +ðŁĻĮ ðŁı½ +gd pr +lan i +p wc +gu ad +nic est +stake holders +re ferred +george town +arvind kejriwal +schnei der +in doors +all star +strand ed +gen der +ze pp +ma sses +ðŁIJ ± +pati ently +bl dg +z ab +we arab +vi vid +he ck +d ella +sy mb +je opar +la ger +à ª +comb ines +ne c +br ay +flo p +tx wx +jo ys +pon t +pro found +sur round +mad hu +ma ble +ay r +te as +n sa +open ly +er nest +ãĥ © +to po +g na +anti oxid +ti an +e tr +c ello +ma thi +gener osity +b iting +man ic +kel sey +chee ks +ten der +w th +pron oun +ultimat ely +gu sta +ari anag +ger ry +ble ed +red dy +mic h +mitsubi shi +oper ated +sex ually +ma u +cl lr +vi ds +co c +mel ted +ðŁĮ Ī +q ld +ite ch +instru mental +end game +ðŁĵ ĸ +ener gi +brow nie +tam il +at in +domin ated +pra ises +fire place +sens ational +men a +k arti +un prece +ru pt +ori ental +mc cor +tour naments +scen ter +re eves +prescri ption +sam e +fra u +tru ffle +em bo +roman s +bla sts +techno logical +pr at +b sb +y ar +tren dy +ac l +al ad +ðŁį ģ +o hh +bankrup t +tho ven +regar ds +is er +war wick +vine yards +real m +niallo fficial +do ta +ge mini +to do +v able +¨ ¨ +la u +wre ath +ju ve +nat asha +le ver +lor i +hor ser +cc tv +air bnb +es anders +sin clair +ema biggest +high school +con test +optimi stic +t te +ðŁĴķ ðŁĴķ +ss d +ye e +hel ena +con sen +ric ks +jes se +an ic +ðŁİ ¯ +re acts +ro be +independ ence +vol tage +m ington +s ant +à¸Ļ ภ+-------- -------- +sentin el +ke tt +rehear sing +aaaa aaaa +sof the +stir ling +sear ch +wi gan +stand out +sna il +pent agon +Ä ģ +ch lor +cru st +net any +chemi st +disapp eared +ric ardo +sp iders +bo se +war ren +me ssing +bann ers +gu el +par ach +ma id +coun ted +epi le +bon fire +speech less +se tter +meas ured +rejec ts +nik ki +le ster +foren sic +fab rics +alo ha +pre served +wat ford +deta iling +dar th +bo u +car ly +... ' +tail gate +noti fications +å ¤ +pas sive +trous ers +balo ch +ro ther +typic ally +à ¥ +sp it +wi z +sic ily +technic ally +ex pose +st age +hu bb +cre am +cap s +po ke +sle ek +ju ne +tempor arily +de z +awak ens +l ame +_ - +ji ha +tues days +advis ed +advis ors +exi sted +dis agree +news room +lo sers +world tour +dr ying +al di +har ness +foot print +hobb it +p mln +i ro +que red +asse ss +gaz e +sa b +th ian +í Ĭ +ti f +ob serve +ev il +dra wer +swee p +cor y +co dy +kyo to +cal lum +n inj +lau rent +be i +sket ching +custom ized +du r +regre ts +knox ville +ìķ Ħ +mess aging +grac ie +abun dance +bi dding +bre wed +fl ouri +therapeu tic +alt itude +ho gs +bur ner +elec tro +wonder fully +he ater +post pon +li very +r all +ad as +a ac +sau l +brook lyn +play house +âĻ¥âĻ¥ âĻ¥ +char itable +in y +z ah +compet itions +be av +plu gged +o is +do om +astron om +speci alized +max i +ta ps +cellu lar +depre ssed +folklore thursday +cri b +e mul +ë° © +fi gh +ru z +car lisle +spe ar +side walk +de i +depend ent +lac es +nh s +ðŁĮ Ļ +reali zing +net work +ric he +re gin +re fresh +st ral +pa thology +pla id +psyched elic +hin d +u ka +algori thm +lin king +progre ssi +fe y +d ade +hydr ated +b ant +fam ed +cot sw +bo ise +as c +rac ing +ja vier +ww en +mar lins +poo p +swe pt +toni ghts +we f +ani me +slo vak +âŀĸ âŀĸ +cla us +lem me +cli ppers +re ls +arianag rande +r te +ko t +thal apathy +hungar ian +zu ma +y von +is u +jour neys +clin ics +be be +ww f +n ws +super heroes +er it +sle ague +identi fication +mo tto +ba i +sour ced +ill er +ap i +pri se +unprece dented +dam as +tuni sia +dra in +undere stim +e ther +quarter ly +rewar ding +al ham +wolver ine +cab ine +hyp no +nad ine +hav ana +da e +ðŁĵ Ī +dr on +read ings +b ati +pic o +mer ci +iti an +wal kers +el ope +mi key +god zilla +bur lington +abu ja +social ism +at ility +sh ell +harry potter +g no +ab ur +re leg +fel ici +ro gen +neuro science +inst in +ath am +vou chers +j arre +fu se +def ici +monte rey +de port +mid day +pp ard +fre ed +ame ter +wil t +n ingham +pr att +liber ty +slo gan +o to +pr i +co ated +c pd +ne tt +il las +mal awi +evol ve +accessi bility +ðŁĶ¥ðŁĶ¥ ðŁĶ¥ðŁĶ¥ +or nament +b p +el is +son line +chi ro +fl ick +ib m +ar ak +en ables +gar land +san e +cu ties +tri p +rotter dam +n ys +lam ps +lu cas +bo g +ra ils +travel led +hic ks +en u +sab ha +scru b +hi er +hart ford +fo o +fer nandez +tre vor +mat tress +appo intments +ale j +fe i +o logist +saf ar +oc ta +sr c +sha un +ambi ent +dri c +bi ker +she e +must ache +h ta +bo one +her ty +car dio +bra kes +rec ital +consi sts +overwhel med +cau l +robb ins +im it +al th +ur l +bi bli +on ne +black livesmatter +diffic ulties +tel ang +tall er +ðŁĵ Ĩ +deb ating +bur rito +mo vember +strength ening +bo e +te stam +mirac les +base ball +re nee +ðŁijī ðŁı» +al fa +âĺ ĺ +unstopp able +ec s +g mo +giftide as +path way +fen cing +ðŁİ ¤ +b ham +ra s +sk o +d led +thel ast +magn um +bin ary +wil de +wil der +wh ati +barbe cue +h ism +can oe +kur di +eli ve +advant ages +mad ame +bi er +mis sing +enter tain +air force +y ama +c is +hash tags +j is +ve il +dream y +ten se +may ward +ch ateau +hunt ington +âļ ĵ +v all +up on +bl ouse +dun es +ðŁĺ ´ +fert ility +m ole +curren cies +st u +ber lin +toa sted +div as +wal t +lar k +por a +hit ter +um er +chil led +bal ancing +fa is +y in +or tiz +east enders +h ate +ur al +ap ril +tim el +à ± +per o +sto cked +respec ts +th t +best friends +giving tuesday +be ad +inv ent +im i +nap les +comb ining +tok ens +thir st +ma sc +par rot +sp u +dent on +* -* +t res +subur ban +wid th +si ve +con tender +siri us +lo k +troop ers +outra ge +tur bo +frag ile +me ssed +do h +disc ord +netany ahu +re sign +forgi veness +mo han +mun ch +cam ou +identi fying +enab ling +hot ter +thorn ton +jai pur +ar ya +ðŁı» âĢįâĻĢï¸ı +mu staf +maj ors +o ke +du ffy +roh ing +til t +ðŁĩ®ðŁĩ ³ +rock star +she ep +hend rix +ra v +in vention +do u +lagun a +gru mpy +sw is +im pe +) ' +you ths +bun ker +st ache +oppo se +indi es +acceler ate +ml p +ed en +w ann +k ail +akshay kumar +su pt +pol ym +midd leton +extra ordin +wil son +australi an +alumini um +way ne +alum nus +mat ics +gri m +er nie +opp a +competit ors +rand all +h ence +decla res +pre aching +sha he +can e +sustain able +stap les +le dge +ad ena +doctor al +bur gundy +decor ate +ren dered +ri sen +pr ank +di or +bee thoven +flo or +ac com +to t +ho dg +touri sm +say in +objec tive +mar kers +premi ership +en abled +camou fla +gi ant +Ñ ģ +smo key +ric ket +pan g +de pending +s ation +evol ving +inter cep +cen sus +tof the +re en +mendo za +trum pet +marke ters +an it +ðŁĻ Ĭ +north western +v la +foto gra +blackand white +che wan +wi g +tro om +ginger bread +k n +ro mero +n fc +or chi +fun ko +sour ce +f s +ra ped +o st +tar ot +ann ually +ðŁĺ ¬ +r ill +del av +.. !! +se s +can n +medic are +ph el +ape x +guardi an +rema ined +r pm +a ñ +story month +instag ood +neighb our +p ing +sem ite +my stic +as cot +mat er +hand ful +dang ers +ti d +ana heim +opol y +sh allow +nami bia +tor ia +procu rement +big bang +announ cements +prosecu tor +beng als +sal le +en roll +ga stro +sugge stion +ba k +ha ul +budd hism +berni esanders +flu te +fati gue +cyn thia +cho i +ir win +gu a +str ous +h p +ba p +satisf ying +play a +ðŁİ ¼ +inst ap +al ice +t p +irri gation +ðŁĩ¬ðŁĩ § +in tric +clu es +ple x +sa x +he pat +dump ed +signific ance +by u +medic ation +pro v +tough est +corn ish +âŀ ľ +kel ley +u v +si zz +si bling +me st +di stor +diplom atic +aun tie +b hat +son ic +bren da +pump kins +ro ch +black burn +ur ged +shi a +arrange ments +floo d +sa unders +lec turer +nou ri +popul ations +diplom acy +consist ently +ðŁ¤ Ļ +t mund +cauli flower +l ily +vocab ulary +vari eties +coo ker +up town +qu ent +mo sa +re inde +velo city +spru ce +social medi +i ber +volun tary +proce ssed +bal tic +y ang +leban ese +d p +dol ly +arrange ment +y uri +cran berry +kal yan +elev ation +cli ff +pu shes +ìĬ ¤ +sil ic +co wx +eter nity +sla ves +vine gar +glou cester +con tained +breaking news +aga inst +renov ated +norm andy +hero in +ys m +mo ds +gre ek +un di +tren ch +v h +encoura ges +head ache +gr ange +: ' +ever green +Ù Ĭ +reck on +ab used +th ru +cho ice +ti dy +col der +scho ice +ha in +bru m +li ars +bre it +yor ker +sh ack +he idi +micha els +sco pic +fasci st +play ful +ca c +yas ss +sh ad +.. ? +qu en +ram irez +clif ton +pr s +best fan +âģ ł +gener ating +head set +disappo intment +abstr act +bo iled +paren thood +azerbai jan +exhib iting +bom bay +oli vier +ko so +un lea +mat ernity +iz er +si ves +r hu +col l +saskat chewan +fre akin +de k +na g +stab ili +ðŁį ķ +organi zer +bo sses +ar u +u va +at able +ta un +after wards +fert ili +ver ge +az i +mor ph +๠ģภ+jer k +cosme tic +ko w +stru st +ap ache +post cards +for mul +ì ĭ +spin al +jack pot +elec tri +Ã Ń +lo y +gra der +diab lo +ar di +he sit +f w +arch ery +pa sh +the ories +repe al +re live +per cy +âĺ Ĩ +im in +syn chron +sham poo +coup ons +o to +la i +thou ght +luxembour g +mo v +ðŁĺ ¥ +ge mma +se ated +m ga +strat ford +un certainty +shi fts +est o +fo ol +fire arms +cor rie +ki ki +appa rent +p ills +olym pia +fi d +elev ated +de cks +ignor ing +av alan +ro v +whist le +p tsd +milit ants +robo tic +pac ers +quil t +bankrupt cy +lic h +per cussion +celebr ity +al s +( ; +su t +pokemon go +h g +off s +gibr altar +scre ams +billi e +gen ome +mar in +be ams +arch bishop +em in +bedro oms +g ated +ol ly +warran ty +at own +cudd les +gun na +k ic +vi ve +cy mru +nar row +pro b +le o +refe rences +manufac tured +cho pper +brun swick +sem is +don ia +r ye +man o +hur ting +? # +hol li +investig ations +c els +ðŁĵ ŀ +le ster +temp les +sto rey +mc mahon +toi lets +wo of +ï¸ İ +le verage +at om +night mares +victor ious +haun ting +custom er +ag i +yo ongi +mon ty +ver onica +w ur +inti mid +blan kets +volu tion +j m +âĺ İ +am on +jud ith +ðŁĺİ ðŁĺİ +distr acted +dri p +hurric ane +and es +revel ation +tro op +ab leg +col lin +tibet an +wor rying +inter nationally +eat er +camero on +brad or +y uk +ðŁĴĹ ðŁĴĹ +tra k +slo pes +ci er +ne a +ol er +ta ka +albi on +volcan ic +am n +a fi +ob stac +face time +ger ing +n pr +metall ica +organ ic +ðŁĴ ¡ +ki dd +d ances +pemb ro +wash er +m its +om er +emo tionally +tan go +ip o +do cks +scan ning +spec s +tho m +the ology +emer gen +om i +g pa +selec tions +un necessary +ima ge +ter s +induc ed +gi gan +rent als +supp lied +m fa +shan kar +lat er +pa jam +cla ve +Ù ģ +ma hin +carl son +avi an +ano va +kati e +aj ith +design ated +chocol ates +investig ators +gla zed +prin cess +er ry +ra gn +ou rable +hr u +sun dance +peuge ot +steam punk +gh lin +gre ase +hi res +z ap +per ce +j ill +tom e +he hehe +joy ful +mae stro +ni shed +gene alo +v ich +p its +fox es +good man +emer son +lo bes +con verse +o ats +thom son +ra him +mal ware +ah i +man kind +re sin +im g +sw ood +kin der +sc roll +ar a +sak ura +ro bbed +xi on +ny a +c ism +ce dar +be in +mour ning +tor to +heath row +done gal +bar b +hydr ation +k or +elim ination +su pdates +hill s +appe ti +star red +ko m +gw en +dd d +cra y +sc anner +personal ised +seren ity +re design +meta ph +box ed +judg ment +no se +ë ¹ +er ad +ac ne +supp liers +ener getic +v om +as ap +ðŁĶ ¸ +ir vine +hat ch +la ss +ad ren +waff les +accur ately +ici o +itt le +se un +occup y +web cam +thene w +ent es +ga i +j w +accoun table +vis or +ir rit +licen sing +hudder sfield +gen ie +ðŁİ ¾ +atmo spheric +ten sions +spart an +clif ford +ol an +north bound +ame en +cen sor +u el +ster y +$ $ +far rell +hy ster +cl t +se dan +rep lied +descri bing +micro wave +sla b +pro sp +assi sting +ru bio +e than +hh hhh +gu ay +z man +ra ise +roll ing +o e +n ile +ambro se +scar borough +hero ic +coo ks +mor t +chop ra +ðŁĮ · +to b +shav ing +stac ey +dor m +motor sports +wi ki +fol ds +sp iced +stress ful +liter al +fu dge +pe ggy +wa ite +tre sses +se sh +pr ic +ðŁİ ħ +fri ght +r va +mumb ai +po m +tt v +cel lar +tom e +andro id +dor is +tsun ami +tin der +o ec +m wc +dor tmund +no thin +l iti +so u +believe in +at u +kno cks +mag ni +ss sss +ro hit +ine ws +ang i +m andy +ke ttle +intermedi ate +av ant +cur l +endor sed +ori o +ur t +consider ation +wi res +shel ters +b ino +vik ram +imple mented +ly dia +bu k +paro dy +c news +under graduate +canu cks +sam i +polit ically +ro tten +gh z +tex tiles +over load +moder ni +recre ational +fli r +bat on +typo graphy +ov ation +intrigu ing +pilgri mage +al ge +ad ays +tcm party +sp elled +cur ls +boo ze +ste m +ann es +ir ls +spon ge +sho pper +sig nation +bra ss +mi stress +le ah +beg inner +lau derdale +augu st +pre school +ta ping +tai pei +execu tives +b d +rhe tor +esc or +immun o +deeplear ning +stat ues +it us +manu script +ly ric +cor vette +mol ly +la ge +de p +cn bc +le st +je ssi +fi fe +griff ith +oppo sing +ran g +dr ills +respec tful +p ity +d ell +har ding +play boy +blo ke +shut out +k ili +o sp +se attle +bc poli +mis es +journ als +team ing +es ther +fre ddy +Ķ ï¸ı +metr ics +no tre +gar ry +for ty +navi gate +perio ds +bened ic +j id +da w +ance stors +restor ing +con g +aller gy +tit anium +c ence +lean ing +ab bas +v ast +uc f +roof ing +e man +seve rely +vo gue +ve au +in bound +d z +tane ously +stret ching +man chester +dr yer +dav is +kan th +the game +it ted +re tain +el les +conge stion +frat ernity +ol lie +lo ki +fre ely +cho o +pon y +sc ep +tab ly +bal t +rock n +di me +lo gging +ðŁį · +ad u +ha voc +water ford +char is +swee tie +run ning +ner d +erdo gan +z ara +weigh ing +fif ty +pre cise +low ell +kurdi stan +r yo +or th +syn th +lin ers +phenomen on +art illery +il legally +constru ct +nostal gic +gar th +al ta +shel ton +a sean +w ander +dur ban +di versi +bon o +cl on +le man +sh un +obstac les +appet ite +fe eder +respir atory +di xie +formu la +an to +so ber +extin ct +au c +ing les +legitim ate +; ; +min nie +ipsw ich +dram atically +ðŁijı ðŁı¼ +ingh am +milit ary +mon et +us navy +for k +dun no +play er +q otd +st oo +ex or +ethiop ian +film fest +pe red +c ate +sau di +in ner +sin cere +tion ality +ale e +de eds +cooper ative +ir onic +cro cod +br ary +post season +cam per +can ary +e in +exten sions +nb d +sher wood +spo kane +hu mp +jit su +ê ¹ +dar yl +p si +stab bed +offer ings +expe cts +cav al +body building +fr aming +f ca +ye arly +bom bed +sk il +resear ching +jud iciary +gree ted +tu dor +mil o +innov ate +ðŁĺ Ľ +r hs +ru by +contribu tor +fam er +soci ally +m lin +fi ery +ut ter +beau t +it os +de voted +rain bow +bar ney +pe ren +ar jun +r na +gab by +ut i +hann ity +pick le +ser v +qu akes +pp e +fe m +wh itec +j n +victor ies +ðŁ§ ¡ +gol fer +congratul ates +resul ting +mechan ic +ur ve +cen tered +kie v +an s +in cub +< < +c mo +bestfan army +dap h +en ham +on cology +ku sh +t xt +ori ented +fashion able +c sr +sa hara +r ack +pd p +han son +ภĩ +ti ers +ra r +pan am +in sky +sa hi +testam ent +asth ma +in her +fisher ies +or der +ho we +gall on +ep is +suz anne +drow ning +paneli sts +ðŁĺ ² +ë ¦ +al ach +commemor ative +at tribu +ðŁij » +mo o +visi onal +week sary +gu st +ak in +poin te +ee e +di spar +ni pp +dent al +st all +pi an +bor e +ul ster +tic k +ir r +tae hyung +micro phone +bermu da +ga ard +el er +plumb ing +hu gely +âļ« ï¸ı +race way +cam bridge +mar cel +burn ley +to ast +holly wood +fa sting +me red +hib ition +ca pped +benef icial +ow ning +cont amin +arab ian +to on +cap ac +hul u +sm ir +nutri ents +se in +graph s +con ditional +ðŁij ħ +or ac +play in +nor the +tor nad +mar ian +ju mbo +lex i +incredible india +road to +uk one +confu sing +sp h +shan k +pi ed +mq m +positi vely +sher ry +path ways +consi ders +tof u +argu ments +resil ient +che tt +with dra +ter o +ated ly +sw ana +he b +fli ght +har ley +decre ase +kind le +book shop +³ ï¸ı +marty rs +sm ur +mc cl +concer to +sti me +rejo ice +app lau +cle ment +mer kel +jai me +im mortal +isle of +mar co +youtu ber +stal king +me too +st ack +sp ouse +u st +lu v +âļ¾ ï¸ı +eque strian +ev ing +fl in +nick name +the big +as ar +st acks +wal ker +bor a +kidnapp ed +hur ling +humb old +rec alls +co pper +ann is +se o +mer ger +mu ir +ad dy +ðŁĴª ðŁĴª +be x +cr acy +con an +congratul ation +mid st +âĻ ¬ +for bi +op tic +cr ate +crocod ile +mad agas +secur ing +ast on +o gue +savi or +salis bury +love it +fuji film +cast les +as st +ar rows +sp acious +tr s +poly vore +progre ssion +m ri +nel son +bi m +indic ator +o da +pe pe +re signation +gu t +sne aker +log ically +az y +are lla +te aring +jo shi +ssion ism +q pr +mari ah +p x +ble ed +mi an +med ley +we iss +ker ry +gat ory +at al +madi son +av enger +nab y +pl and +gi les +fresh water +d ington +ta j +demonstr ates +n tv +bul bs +sunday morning +pe ake +souven ir +wa h +ton nes +m kt +complex ity +con den +ross i +b ing +y ds +su k +n go +mid land +ol y +life is +ri pple +mo reno +dd ers +tu s +á ĥ +bou l +x a +hol dings +wn y +shadowhun ters +ke i +asp ire +m ous +ow en +so ak +skir ts +moun taine +stor ming +ch rome +ri ots +sar ato +amaz e +less ness +nav ar +crit eria +ra fa +indul ge +ay er +por to +nam o +........ ........ +yi elds +val le +j h +mac ron +sa ins +dur ant +tra ilers +wo t +confeder ate +sh rin +id ol +form ally +ten e +motor cycles +than g +no de +bang er +dal y +p ats +enroll ment +au ctions +at al +ar bor +lo gos +de arest +trans action +dom ingo +fle a +ser mon +de ck +sin cere +questi oning +juli o +was p +pre tz +armen ian +k ham +inflam mation +picture sque +acci dental +film makers +ðŁĺ ļ +ðŁĴ į +ca sey +so b +yee zy +good will +parag ra +ss ly +fe ather +dy ed +assassin ation +na de +b cs +app lies +femin ine +fe u +ext ent +depu ties +l ack +psy chic +go i +kill ings +pse u +ðŁ¤ ª +un c +mar l +tan e +mck enna +sur fer +influ ences +free way +hack ney +mal aria +el and +te au +rema stered +Ø ± +raz or +gg y +cor ro +lak sh +fla ir +honest y +hoor ay +de pp +am c +wedne sdays +q a +ed its +- $ +se villa +dou bled +human ities +c cot +som os +r ine +af a +si oux +re construction +wel ding +th reads +am ish +encoura gement +po der +bo ck +bal m +p tions +stand up +accompli shments +guar ding +convic tion +ac ion +napo leon +depic ting +att ack +su i +wear able +âĸª ï¸ı +pot ter +esc ort +vis e +to ts +bo on +event profs +angu lar +womenshi storymonth +bar row +sch i +ac comp +ti k +l end +kensing ton +wol fe +st acked +cra shing +exhi bit +wing ed +sab rina +ma sa +k ms +alway s +et t +pla sma +counsel ing +pick les +nfl draft +mr s +inev itable +coura geous +staf ford +writers life +ho s +e j +gh yun +trade mark +adri an +influen cer +coron ation +ra ging +explo red +usa f +excep tion +eu x +tan ker +sw ami +pac ket +ðŁij¨ âĢį +f en +she en +a ero +j l +re gal +nw t +au ster +meh ta +char ge +a ste +b ate +inf eld +racec ourse +collap sed +fle ece +z il +al lie +alternati ves +geor ges +ðŁĵ į +quir ky +fc b +nat geo +philanthro py +bra i +every day +ðŁIJ ° +ach ers +ja an +fin es +q i +fisher man +distin ct +gri mes +nation alist +comm ence +ro wn +âĢ ³ +z ing +f ter +hr w +baro que +bl ender +kitt y +hoo ks +c ited +w anda +consen sus +reinde er +an and +supp ly +me ds +v n +ol ph +rat chet +shel don +secur ities +ë°© íĥ +cro m +mosqu ito +j eric +im mac +dimen sions +â ¤ +di ssi +sponge bob +dami en +steven son +jo anne +del ish +yi kes +than x +surve ys +postpon ed +alco holic +al ised +ðŁĻı ðŁı» +do ch +sen tim +mered ith +com pares +b ago +happy days +mo ss +ãħ ĭ +ne c +gn ment +frustr ated +comb in +ri v +ec lec +col lo +compli ment +actor slife +ct to +nic ar +op hon +apar the +man t +ja de +trol ley +optimi zation +eye on +eco logical +qui st +ep he +ॠĩ +cin co +appo ints +old school +c pr +behavi oral +min aj +:- ( +tag ging +ev al +jo aqu +ðŁĺ « +ha k +de me +jama ican +so s +hy att +hand book +libr arian +hanni bal +pump ing +ch om +f man +ga i +hu ll +respon ders +green ville +n us +vau gh +ðŁİī ðŁİī +ta xi +gold berg +man tra +te ase +forbi dden +metho dist +ati vity +* *** +ec t +mc gr +Ħ ëĭ +se b +amid st +disapp ear +thy ro +phili ps +er ina +v icious +stream er +million aire +ma p +str ick +hack athon +gh a +ed ic +mi ka +pe ck +ill i +anto ine +ar ca +op tic +ma ure +ðŁĩ¦ ðŁĩº +cla shes +man ly +âĺ ģ +al var +and res +me i +el m +ww ww +al tered +l te +ê¹ Ģ +mo jo +for rest +thal ai +non t +spee ches +acknow ledge +ign ite +x factor +ðŁ¥ Ĥ +mead ow +disru pt +debu ted +scrim mage +pharmaceu tical +fi dd +found ations +philosop her +et al +publi shers +bo ys +c ke +ru gged +opti mism +re be +phil harmon +nar cis +ral lies +lu is +go blue +fol ded +un acceptable +optim al +li sa +pol aro ++ . +en za +âĿ £ï¸ı +mon opoly +grace ful +dair y +du a +diffic ulty +judge ment +o si +mer sey +flu x +new found +ter ns +dimen sional +in vic +al ba +am it +abudha bi +alger ia +autom obile +the ad +lo tion +acceler ator +vac ant +iti on +lu f +al ic +pl l +bla zing +ba z +sen e +ðŁij ¼ +villa ins +direc tory +eis en +to ck +broch ure +ri pp +hb d +zayn malik +nic he +lo lol +certific ates +mor se +fac up +x ham +un wanted +im ports +carne gie +fan sign +mo u +r alph +destroy er +sw ing +trek king +cili ation +pit bull +g aps +ho well +defin itive +mc le +f ps +et z +bol ly +lyn n +gan o +at ure +fur suit +co il +na v +but ts +tro jans +eu re +en ko +sch umer +horri fic +install ment +br b +subur bs +a bel +vi r +de sh +cun ningham +ðŁIJ » +span n +sch we +ke mp +tr u +ste alth +qu es +le w +deli ghts +ko ch +hu mili +cr iti +il t +sp ells +mi ley +car ic +ðŁį ´ +lc fc +substitu te +oun g +? !! +af fir +predic table +class of +er r +cy press +chand ra +age ing +__ __ +ther land +don caster +el in +yo shi +sail ors +har ris +jo anna +niger ians +h ers +pla gue +pro cra +k no +can ton +busine s +un h +pra kash +c in +bow en +co ating +m als +be gging +smith son +ponti ac +sp ies +dam ian +pl ine +und ant +al ta +one ss +shame less +da q +bb m +wal es +stam pede +ser um +Ù Ĩ +cataly st +x n +ab sc +free zer +ch un +ari os +mc cre +fore head +he ars +damas cus +tac oma +ardu ino +encoun ters +stan ton +lg b +ab as +" .. +ke te +drac ula +ele m +g ne +zepp elin +la brador +pul p +op tional +or n +russi ans +san itation +hil ary +etsym ntt +pen alties +au st +ig ans +olympi an +medic aid +vers ace +va pe +re stra +pe ep +sexi est +st alls +di le +the a +punjab i +pupp y +tuesday motivation +ðŁĵ ļ +the flash +roc ket +mo dest +chihu ahu +on na +k sa +hur dles +ca ve +fail ures +sp lit +bo ho +gur l +disappo int +ho ward +nug get +fran z +stal ert +kaz akh +for getting +sch ri +ag ate +am at +eve rett +du et +veter inary +juli an +ch ills +bra ve +ghost busters +lan do +gre ets +profit able +d é +ti r +ze e +om en +pd x +gray son +har i +fix es +stab bing +swim mer +symb ols +compli ments +po se +func tioning +th nx +gi r +corpor ations +bar low +lo e +off season +distin ctive +marvel ous +nik on +enri que +ky u +ja ws +amo to +lom bar +travel blogger +fa h +ouri sm +tri stan +so e +ce ase +ðŁı ħ +z ac +mck enzie +taxpay ers +swim suit +bl o +les ley +kan sas +w ks +ki el +provo king +my les +str ing +kangar oo +galac tic +fif th +s ke +we ir +ll is +mat ory +ðŁĩ ¿ +un ci +re productive +roo ting +ti des +gad get +.... ...... +alex ander +bow ler +scre w +apo log +eri ka +wal ters +shet ty +lan e +ban ter +as ant +me so +v ain +" "" +us i +fer din +accomp lish +man sfield +bom bar +collabor ating +cla p +it ure +s da +smo ky +na k +im person +car la +com ra +bur gl +lo co +ti es +in hi +trac ey +se is +diss er +rr rr +dra y +prote ct +cor ona +hun ger +ck en +c eli +trou bled +predat ors +fic tional +shav ed +riche st +metab oli +ful ham +gro oming +mono chrome +wa sting +as co +ast e +ti sta +remedi es +ung soo +south end +perman ently +bu mble +procra stin +ident ical +practic ally +ma scul +su ke +assu red +val erie +devi ant +grizz lies +thi er +pur a +ne pal +not ts +bil ateral +spo il +car mel +cine matic +ph l +ni fty +ma o +hypo cri +la ser +pan try +mathemat ical +el isa +coordin ation +bel mont +a it +radi ant +bo iler +man g +f ag +cr c +h ams +br in +â¬ĩ ï¸ı +famil ia +âĿ £ +sab er +ru pert +gg an +rit z +mic h +sal ford +le vi +gra l +ðŁĴ ¤ +n ino +ce d +business man +ul tr +sim ply +compre ssion +pa ins +hal t +ë°©íĥ Ħ +landsc aping +n f +croo ked +er d +itt in +ddle ston +sur passed +ino a +da g +bl en +exten ding +at ing +al gae +ball er +u mar +snoo ker +col lu +flo wn +thu b +ridic ulously +ki sh +op le +di re +as ser +ari sto +sc iss +h ating +trou ble +syl via +suc cul +plo ts +sincere ly +al er +laure ate +br ack +att n +rif les +me to +collec tible +cu omo +conte stant +consist ency +ant z +rang es +abig ail +de b +mini ster +grow ers +an oo +hoo ver +dream er +nu cle +resear ch +mi y +sha hid +ma v +d honi +cin i +do j +hin dus +part ying +dal i +alon so +inform al +clark son +it ton +ki an +cit yo +mor i +la sted +as pen +libr ary +susp ici +qu at +den ial +fol der +ch ori +swee ping +eni x +ðŁį Ĥ +Ø Ń +nas car +handmade hour +mou l +heat wave +em er +exam ine +ib n +gr ind +po v +tion ist +m bo +she ila +integr ate +om es +take away +cer v +con nie +tic ket +ce led +bi en +visu ally +madagas car +sor ry +gu i +park run +tra its +la be +pois oning +ॠĢ +vi able +bohemi an +denti stry +bad os +spr outs +mask ed +te ddy +ðŁĺ · +sa f +sa as +ji ang +ti ght +spe aker +withdra wal +bc n +as signed +class rooms +fle ming +ðŁĴ « +super girl +tot als +table top +e books +horizon tal +cra z +flu sh +j ard +c dc +er son +ãħ ł +green wood +ni h +co x +ad a +lit re +go ing +v icky +cur ved +lou ie +gra ins +hy e +lon ge +reme dy +tra inee +san jay +super stars +ma ser +man u +s age +wh l +ðŁĺĤ ðŁĺŃ +ðŁijį ðŁı» +m sd +en z +rab hu +j oo +gh u +ac er +e po +resurrec tion +justice for +bl ended +mo da +avalan che +france sco +re spective +g s +ye ast +wel ch +devo tion +ge tin +athe ism +am ic +carol yn +lo c +ld nont +ave c +us da +le gged +bra very +b lower +cow boy +he h +sti ble +buff al +chann el +run chat +âĺķ ï¸ı +ide ology +best seller +y oo +pe anu +bon ne +fel ic +edi son +fr actu +naren dra +pp ets +seym our +ri viera +he ctor +necess arily +bi anca +soci eties +the best +w g +sent ences +win k +vacc ines +pal ooza +jam ming +as f +mp us +agre ements +ec k +ba c +hon ore +com pul +wild cat +im posed +yo ga +hud son +can celed +l ich +fu zzy +es que +ch uk +w vu +se k +fli pping +r hon +wi shed +wh a +cap ability +len ovo +ìĨĮëħ Ħëĭ +vi vo +tv d +nor a +sil k +pas adena +yo semite +valu ation +clo cks +u ber +mr c +dar kest +au bre +ss o +bell y +wrest lers +kill in +lou der +buck ley +ge el +ad on +un s +appe aling +ðŁij ¯ +semit ism +list ens +fit z +ãĥ³ ãĥ +ny lon +ar ty +seem ingly +hal a +su ited +et y +she ds +mu ffins +ap ric +um ents +u ta +jam mu +chelse afc +star z +yo ko +roo t +clean sing +di ar +pione ering +ihear tradio +dig iti +fin dyour +can o +ðŁĴ İ +z ol +spac ecraft +six ers +moi sturi +b ile +ti sts +hor ton +rang ing +colum bi +mete oro +senti ment +ep l +foo th +text book +drain age +r ly +sc ue +imran khan +ðŁĴ ¸ +margar ita +ed dy +predic ts +gamer gate +advis e +growth hacking +love you +ug and +v f +beng hazi +s later +ne wor +ch el +independence day +p np +cul len +hoo dies +num bered +brit t +t sa +kl tu +s ages +mom o +onep lus +col l +gu ts +w ta +mesm eri +enh ancing +chiro prac +j is +teen agers +m one +constell ation +sweep stakes +e ze +slovak ia +la ye +pear ce +wa ver +po gba +k ron +sur geons +mar x +ti d +gg a +desc end +p ours +upri sing +wal la +sab bath +bachel ore +mack in +k am +peter borough +hor a +ðŁĮŁ ðŁĮŁ +think big +r j +hy drau +sp al +univers it +ðŁı ī +mail online +league of +ten ants +w ally +lan ce +heav ens +dd r +bol ts +am ir +i phone +ci gar +en du +re i +el abor +r inging +john son +characteri stics +sal oon +algori thms +tal kin +m tn +di ve +region als +ff ice +hat i +deviant art +so tto +shir o +l ama +k we +f aded +por ting +tu mmy +est ates +buen os +ðŁ¦ ģ +beli ever +pen etr +dar n +sp ite +can opy +fashi oni +t illa +pet als +eli jah +bra wl +marty r +ë°©íĥĦ ìĨĮëħĦëĭ +mid town +eric h +d apper +sm town +me gam +ww w +le le +on s +cat fish +fir th +fossil friday +ball park +th aw +pot ent +illi e +cre ep +car p +so ap +gun dam +infe c +yy yyy +ठ¨ +z ag +rit t +calcu lator +bo ca +ok o +to ad +threat en +refin ed +olym pic +accompli shment +bacter ial +a ji +tat um +feli z +she ed +j at +th ic +jam al +ðĿ ĺ +lin a +ðŁIJ ¯ +jo king +yot po +pin ch +ak ron +her b +motiv ation +li a +ho stage +cre ek +gam ble +russ ell +patt i +fo tos +c pc +bro ken +back the +cla ys +u mm +stock ton +mat ernal +ü r +la kel +cent ury +be k +infe cted +ภ¡ +smack down +man ned +ta hoe +sm es +bas a +su la +augu sta +. * +rohing ya +gre ed +counsel or +silhou ette +gra vit +cla use +' - +bo bc +occa sions +now adays +dic tat +be ard +n ally +brigh test +kab ul +inc india +dhan ush +archae ological +che ape +mizz ou +d hi +ov ski +bax ter +asse mble +à ¢ +gi gi +ac am +wis ely +haz ard +north ampton +âľĪ ï¸ı +me th +bla sting +re unite +mu lus +ali zes +t read +mil a +ed ward +ko va +pe sto +ðŁij ¶ +vit z +hydrau lic +refurbi shed +mo tel +isab ella +hom me +sever ance +uph ol +mis erable +f ari +lat ter +ef er +crack ers +es l +ac io +yy j +in an +ec b +z ind +pan as +tru cking +re ed +sh aker +burge ss +em pire +ag nes +n ington +art works +fr s +ti le +bi ome +eu n +ch ong +americ ana +god father +go blin +i shi +! ). +temp ted +gen omics +mand ate +ck y +ðŁĴĻ ðŁĴĽ +som ali +br andy +in ven +spoke sperson +pc b +yu an +h g +fa z +starwar s +ro wan +blue grass +don g +d day +trin idad +er ton +ban ning +re tention +cu red +tober fest +re set +we is +deta ched +behindthe scenes +immun ity +ph a +bra y +ðŁij ½ +ran cho +ram say +est onia +nd tv +] . +cab aret +tar o +d v +show cases +plu m +ðŁij ¸ +son oma +pre pa +memor ab +e stu +drive way +u les +magn us +x r +nn n +much as +en ge +stre amed +fore stry +audio book +tro y +reck less +kil om +ru ler +ra k +proce ssion +i ons +po ole +noc tur +wh s +farm house +per a +par me +hypocri sy +s ics +v ant +cas k +holi stic +au st +Ð ¿ +in do +ðŁij© âĢį +di so +disp atch +ol sen +make it +en nis +cent re +ar range +ðŁĮ ¼ +sal ted +ea siest +f ate +reg atta +mo zz +ac an +sin i +g ically +ch ops +chick en +work in +ha gg +invol ve +wee ds +book day +wake up +ky r +michel in +fu ss +re juven +vac ancies +incar cer +m st +sc ents +sovere ign +kick er +à § +bo d +âĢĶ > +sa h +mob il +shrop shire +oph one +dress er +mis suni +hep burn +i mo +foli age +diagno stic +as san +cycl ing +guil t +c sa +puertor ico +win elover +wake field +do ggy +k he +pa pp +co g +al lot +cu ck +poe tic +mi o +re vit +mag ician +ç ¥ +ant enna +west wood +mber g +lux e +oat meal +Ø ¬ +te at +ffe e +sear ches +l ly +plu to +el on +let tering +inno cence +fa i +ann on +telang ana +ma it +neu ral +can ni +ar oma +a stor +fe x +co cac +mon etary +f ent +un sure +' @ +indi rec +teh ran +isol ation +li bs +make up +merce des +ff y +he tero +de o +sco m +cur sed +veteran sday +franken stein +shre ws +de co +ge ese +lefto ver +ha did +vari able +acade mics +carol in +under going +vari ation +na h +ssi er +gamer sunite +pur suing +emer ged +ll ers +control ling +ro aring +mete or +vol t +daw gs +be aver +is life +bathro oms +aci onal +pre vent +lake district +in als +y ani +gra bbing +sac ks +le z +sw ay +k ool +time s +klo pp +la de +con cord +resul ted +revi ve +recon ciliation +ol and +az z +gir o +mand arin +de en +nutriti onal +is coming +van i +aw www +der ived +love your +stop the +shou ting +nov ak +ðŁĻĮ ðŁı¾ +lo af +displa ying +sunday with +ma guire +ch eri +ðŁı Ł +re match +qu ic +Ú © +y in +ðŁĺ ¹ +ili ve +z ip +our ke +down loads +sw at +missi ss +care rs +t ment +proper ty +hahahaha haha +gi bbs +sur rey +ar ise +tic ism +sti a +ir ling +fro g +co se +bas sist +fore ig +lea u +pil lows +hol la +eli e +disclo sure +peanu ts +inte ch +ww c +plun ge +trium ph +cor i +sli ppers +ðŁĻı ðŁĻı +neutr ality +ma re +hair y +gang ster +hu mming +cust ard +mer lin +ale a +s by +dam p +mo han +ver bal +j st +gu tted +b jor +un finished +ðŁĩ¯ðŁĩ µ +un happy +âļ« ï¸ı +by pass +at su +fis cher +sa v +afric ans +re use +mid way +demo lished +ger rard +her cules +Ä Ł +medic ines +cl icking +sur round +jo ong +wav ing +tri bes +wet lands +offici el +argu ing +l le +do va +su zy +club house +ne gro +ob tain +ga o +gl ance +assi st +ch os +ãĤ ¢ +âĺ ķ +adri d +occur s +st ans +par don +livel i +emplo yed +re visit +ff xiv +bb le +ne aring +min er +ðŁĺ ¹ +giov anni +up to +mar vell +mar se +to wels +cb n +engine ered +y elling +spart an +si ans +ðŁĻĮ ðŁı¼ +se v +coyo te +sta di +t cm +app en +shenan igans +open access +so aked +ma squ +le vine +stro kes +l k +aparthe id +hipho p +char don +may may +ha asan +stri pped +fr o +scri ption +f ton +h f +pri sons +marsh al +ķ ãĤ +an cho +com promise +classi fication +buzz feed +bblo ggers +deser ving +) / +s way +ob o +camp ers +poder nfamily +p oured +bri e +squir rels +se ize +: # +le k +ti mb +st acy +nas daq +repe atedly +br at +mi ghty +competit or +mah one +de si +o ke +bm w +shi e +f cb +cheape st +minim alist +par amount +n ate +har as +insan ity +lat eral +ment ality +mo zam +ta pped +yad av +u sp +b way +the od +bil t +ra ids +em press +adap ted +pat ron +nut shell +ag ra +be aded +sundaywith marsha +vi king +proce ed +main tained +thinkbig sundaywithmarsha +sn es +mus ica +to wer +ch ab +bo k +sm t +insul t +harve sting +windo w +ru ther +be ige +dec al +indic ate +ma iling +ri ft +po le +ander son +ch oral +sp ride +l ili +ev elyn +imrankhan pti +.... " +ke red +un dp +water falls +se ars +le mans +world series +ri el +ani e +app ar +score rs +lam p +a than +phys icians +qu inoa +refu sing +vu itton +unle ash +s la +pat i +shou ts +inten tions +fo amed +europe an +neighbor hoods +me er +man son +du h +br at +con es +bow l +kazakh stan +ठ¿ +in appropriate +del hi +ketch up +ful ton +s ys +consul t +gar field +to go +f ml +f led +b ds +facilit ate +ree bok +selfi e +elev ate +activ ate +bi ble +ca wx +b ys +cam ille +sy ou +sk ool +her t +w bc +ple dges +recor der +po sh +ac re +so aking +mat il +v sco +shoot ings +pla r +e con +ðŁĻĮ ðŁı» +rashi d +u bi +ðŁ¤ ¤ +sw inging +wi pe +rap tor +m su +music video +dur ham +at tic +apar ty +fe tus +activ ation +aa z +motiv ate +ðŁĴķ ðŁĴķðŁĴķ +j al +ठ® +ag on +sche er +stal ker +fo ster +az zo +tele gram +vi gor +s laugh +screen shots +entrepre neu +kri stin +inten tion +ch illi +fr action +don a +ge a +tc u +s ite +la k +em il +d nt +bor o +wil kinson +re cu +ato day +t anya +bl anco +cd n +brilli antly +g cc +ac c +evacu ated +ther ine +den ny +cait lin +she pard +pou ch +hand held +sou theastern +ha a +à ´ +re solutions +led ger +sr in +r ar +shat tered +chim ney +im with +mete or +hand led +ra ke +town send +en han +shi py +duc t +tw x +inflam matory +war hammer +theat rical +gro s +sk ar +sco tty +ni el +tit o +tin i +conne ction +_ . +goldeng lobes +sha q +ðŁı ³ï¸ı +hall way +fron ts +effec tiveness +gla ston +d hs +ex pi +to h +c pl +sc s +re o +ha g +resemb lance +hor an +abu sive +qu er +virtu e +cho lester +a q +shan e +m ce +carri ers +di stress +re wind + ¡ +voo doo +int act +ann o +ðŁĺ ¤ +pi led +adi a +ãĥ ³ +en ow +di gs +light ly +goo fy +turb ine +governor s +con te +re open +pa h +i ve +cra fting +swee ps +jo di +an de +zu cker +kaw aii +o ko +v ai +out line +kri sti +ts n +insp o +qu int +fil thy +lyn ne +listen ers +depar ting +or d +t weed +, & +ale k +sel fish +nor ther +recogni zes +i ps +be s +a ed +w ills +pe at +surround ings +mon uments +ais le +be cker +la v +quant ity +v ah +helicop ters +tu cked +alv arez +sha pe +o bey +ad diti +road side +m ite +bl ers +ep age +j au +ignor ant +b ins +lu lu +x o +c fo +ee eee +apprentice ship +shef fiel +to i +ho k +faken ews +deplo y +aid an +husk ers +ãĢ İ +west brook +mi ster +confi gur +car r +fic a +proceed ings +ha w +ste ak +mur derer +pay day +a jo +p vc +don ates +bi af +nom nom +be it +k ali +x rp +ahmed abad +se mic +che y +x tra +an twer +head lining +squ ares +roun ded +flu ore +bol d +disa sters +am oo +gener ic +cran es +brief ly +gi g +auster ity +anticip ation +for ti +treas urer +cann y +ce cil +dete cted +check list +ภ§ +pam ela +bar bados +an field +hear ty +tx lege +peren ni +arro g +ing ram +âĹ ı +ty ne +spo on +r ation +am ba +m be +cam el +h hs +york shire +reflec tive +fre aks +to k +ju do +partic les +du bs +ban jo +accred itation +prover bs +over dose +inte gral +gu ang +mc s +super car +af b +al vin +ail s +x tre +st aging +tw ent +rabb its +mar o +inste m +dol l +cr ay +sant ana +ble ach +mini ons +che ap +man t +di vers +catal onia +lo is +mat ri +cou gar +kay ak +e gre +p so +a ia +å ® +char lton +tr acked +sc ari +pe tt +f wd +x in +gra vel +br ic +bigg boss +ar den +hu gging +pal ms +st v +li mb +the movie +handic ap +ri me +z ai +stu b +indi a +lithu ania +rhy th +p ita +maced onia +high ered +brid get +schwar z +ske let +hi kes +ant arctic +c ps +mash up +Ð ° +n ell +chand ra +he ir +an us +sher idan +mi mi +muse u +bec ca +an ir +bar rie +dioce se +compar able +ðŁı³ï¸ı âĢį +yuk on +me p +hor mon +mer ic +al f +con quered +christ church +ðŁĴĻ ðŁĴĻ +hazard ous +poo h +cont ing +retro spective +par ame +na ir +con sor +ho tra +astoni shing +cater pillar +u man +ti sm +t vs +serv ic +croy don +mor ales +c g +cu m +te ur +scan ada +s all +magno lia +el ise +th our +à® ¿ +ag omez +phel ps +ë°©íĥĦìĨĮëħĦëĭ ¨ +wh os +weav ing +si sd +pro poses +cro ws +pre sale +econom ies +bernar do +sha hid +air show +mc cann +hor ticul +nr l +du el +mongo lia +tou lou +requi rement +struc tured +ed i +o lives +he a +cu ter +Ð º +enthusi ast +harri et +domin ion +sub mer +ðŁį ĥ +sa ab +nes burg +mo ff +def ended +bur t +rewar ded +gold man +op tics +khali d +house holds +buc kets +ce cil +che ss +substan tial +ef l +oper ation +evalu ate +st n +rece ssion +l ll +tom as +tru ths +ak bar +s words +p act +embarra ss +ha o +ay urve +scrip ture +ny cc +op t +di ameter +sc ented +organi zers +re lat +ha e +dream ers +de se +ðŁĮ » +restric ted +n ale +r hp +dol an +mun ster +ha ired +consult ants +jo ints +hu mil +d ill +relent less +t é +af il +ut ilities +japan ese +condem n +pet ite +colli de +q f +peach es +cou rier +l ore +âĺİ ï¸ı +reli ability +ch uk +ðŁĻ ĥ +stu res +ge ther +ho stel +bi er +- _- +â ĩ +e ze +ta ilo +di ent +blu ff +chu ffed +pil ip +mon arch +e em +bu chan +b ick +op au +ku ps +ภ¢ +pist ons +sp ins +m and +ce st +bur ne +v ile +cher ries +bec kett +need les +pan ch +ë Ĥ +haha h +trou bles +insi sts +do you +g mc +mor tar +deleg ate +in n +g anda +sin atra +ठ¤ +spee ding +pu pil +pre mises +ali gnment +pi kach +as us +j alan +Ø µ +lime stone +fol kl +parme san +ce il +mo y +shawn mendes +ac up +hu st +ot es +med ina +ma di +gta v +censor ship +ar g +swe eney +sy kes +col o +foot steps +cann ed +adv ance +gta online +healthy living +ðŁį ¾ +a ig +p ality +oc s +he brew +im minent +berk shire +jeremi ah +out going +bak er +entr ata +ma ids +gro ves +bo c +a del +m fw +con science +arm ys +nut ella +conte stalert +novel ist +la h +ban ker +marque z +ðŁı ¡ +to ff +out age +gr p +ðŁĺŃðŁĺŃ ðŁĺŃðŁĺŃ +musc le +du dley +nvi dia +mi di +m uni +ess ays +dat ac +car ter +ภ£ +t ans +i ves +public ations +al er +ok wx +il u +cu tt +har p +out law +luther an +br ill +bo lic +do well +green land +be sties +path i +pay ton +gue st +har den +ðŁ¤ © +ann ed +evacu ation +po ised +mc der +b han +o i +envel ope +ci d +ca vi +ta pas +book review +grey hound +âĻ ª +fe ud +lun gs +for te +rai der +ff er +oni x +dep end +yn wa +rel ating +de vs +ðŁĴ IJ +acqui res +d ha +j yo +priv ati +can ine +k b +cra b +sar din +imag ining +k j +em por +down hill +ne z +ta eyeon +nick imin +gb p +à µ +w ap +sec co +ma shed +ðŁĴ¥ ðŁĴ¥ +augu stine +diss ol +dic tator +â ĵ +vi per +ed fringe +vau x +hard work +book let +no x +chi ff +ðŁĴ ¨ +observ ations +xbox one +u sher +ke er +lu p +dal las +cal gary +ma dra +di ous +k bs +wood ward +hero ine +lu mber +sea world +o ws +mc ke +maver ick +gu la +cross roads +fan g +s ade +nik ol +chee tah +me c +pp g +er ick +ðŁİ µ +tox ic +bj j +viol a +sp ire +ch ino +tra vis +institu tional +ha as +low ry +w ac +ea e +hu mid +mp ton +ru ck +je w +c ine +zim mer +se f +bhar at +fre es +aam ir +ðŁĴ ħ +z inc +wan e +multi player +royal wedding +e el +preci pit +qu ery +kimber ly +isa bel +ful fill +ig an +vau l +pan e +sc y +dig it +gun n +u tah +dog day +fi on +xia omi +da c +el ast +cha vez +ro blo +g ine +ten th +ab h +ke to +hur dle +na dia +memorab ilia +ha bs +qu an +h w +hv ac +pix ar +ec cle +kram er +accu ses +ðŁĴļ ðŁĴļ +per se +mean time +wa hl +atle tico +âĢ¢âĢ¢ âĢ¢âĢ¢ +ott oman +no vo +k us +conne cted +tru sts +d mv +spen cer +rahu lg +do ve +sto kes +bolog na +enthusi asts +à ª +rockstar games +ted cruz +du ras +s acked +late x +immer sive +cer t +lu cin +princi pals +fa res +sa ils +far n +am ent +saf fron +quent in +check point +fer ris +ex cur +ðŁijī ðŁı¼ +bai ley +se h +ter re +mad am +s band +wan derers +cumber batch +yy c +digit ally +blackandwhite photography +roll in +moroc can +ðŁĮ ħ +din ner +d well +to om +m ye +ez ra +cp fc +war hol +me er +jon ah +no aa +s gate +so on +secu lar +g ating +ti o +dri ver +si ssy +assan ge +ta th +ed mund +bobc ats +ra ji +po stage +stu ds +m gm +kat o +edin burgh +meet the +shir t +fa a +mens fashion +sp reads +wi m +car ts +phoe be +j ars +bot swana +Ù Ĥ +ed war +sk ar +ri ve +gu sty +c tv +ferdin and +su therland +nickimin aj +k v +si us +bee ch +re z +desi res +on ial +camp o +quar ry +lor raine +gil more +ig gy +µ ï¸ı +ho pping +avi z +ðŁĮ º +uni sex +dedic ate +att itudes +ste er +jun kie +rail way +y b +whi sper +key an +k us +ju g +di x +a ins +sum mon +ov ich +sy ed +her ald +ma ison +me ded +wild flower +main land +ri sky +ru kh +over looked +ki c +destro ys +nam an +ki p +z ano +champion sleague +ban dit +quin cy +smi le +cal vin +open ings +ta pp +ol ulu +spec tro +accred ited +ap k +pra ised +bar nett +pol len +premi ered +selen agomez +tou red +screen ings +uu u +mis o +en se +adam lambert +guel ph +har yana +hu tto +le ar +l tc +po ached +brex it +æ Ŀ +tt c +pa vement +mon gers +ro e +ad ers +ling ton +particip ant +ca red +ga il +y ates +lan tic +dash board +jo o +feli pe +ssi onist +bu m +s end +a eri +thu gs +luci fer +a he +dete ctor +fil ly +gas oline +ham per +hump day +the ta +the band +fore casts +o hhh +lo bb +hol l +cp u +az u +ad ar +hai ley +bu b +car t +quo ted +an archy +pan cre +twit art +al den +st ash +the less +or ni +belie bers +mor mon +partic le +avi ation +⬠Ĩ +webcam toy +sad dened +cru is +ham let +n ct +roll ins +marque e +saw yer +reli ance +a ura +di ec +soo thing +sig nings +ak is +à ³ +at kins +aer op +ðŁĮ ¿ +y ab +sh ari +con nol +du bbed +manufac ture +convin cing +feelthe bern +ra u +pu lit +on ec +gem stone +ur ging +bag u +ga h +aci ds +fi anc +zodi ac +sn oop +her rera +initi ated +ven ge +profess ors +pro di +stron ger +e mission +bb a +hal le +ta pp +haw an +wh im +compe ted +myr tle +ir port +cold play +ach e +ske p +m son +ss ic +calli graphy +swim mers +me y +pp c +thri ft +po c +re places +commu ter +âģ¦ âģ¦@ +go ers +lo gue +para dig +bas kets +sensiti vity +joh an +atl antis +& & +suit case +anxi ous +l h +str i +gal loway +stre ad +war den +gr ounded +ffici ency +li feat +reli c +disgu ise +island ers +f cofficial +classical music +b mc +en field +bi que +oak ley +bat man +sla ying +ner ves +mul tit +calci um +projec tor +scott sdale +ant ino +gri ps +kim mel +des mond +prote stors +hi atus +metaboli sm +conclu ded +press er +ti pping +sli de +e to +hun ting +aus open +ri k +pp ery +innov ators +pitch ers +ag ger +fun gi +z ad +proli fic +rockn roll +bl ames +ct ar +stam ford +q ad +mozz arella +insan ely +den ver +ph ouse +nom ad +ï ¿ +s ris +pro du +hen ley +pag an +am trak +ru bi +in cl +tu tor +sco tia +wo es +sing apo +fun nel +turn bull +know ledge +gri mm +real madrid +we are +missi les +con sol +emo jis +sne ak +smi ths +ru iz +br ou +i el +ha ver +ðŁĮ ļ +kin gof +basil ica +circul ation +prin ters +ta pping +ri dley +dra gged +ha j +writ er +fundament als +personal ities +me tre +stereo types +bur le +best of +n ffc +ha th +mini stries +a ali +trac ing +pav ed +ł ï¸ı +g ic +insp ire +tu g +ha re +repe ated +ex pon +lol li +rho de +pre cin +install ations +instag ram +az ar +i es +sole ly +du kes +mission ary +van guard +fursuit friday +on d +pol ari +ma st +har an +jos é +jack ed +ec oun +al ities +ne ph +ra vel +moder ated +sco w +s fb +uru guay +as o +ni g +au du +p ints +lat ina +ben z +m itting +char ted +mat ology +cit ro +biop ic +ðŁij Ń +djo kovic +fox y +agu il +so to +an ada +sin king +sc rap +hair s +bethan y +fact friday +ðŁIJ IJ +unlea shed +) ( +contra dic +ram on +coast line +y ong +sn sd +li gan +p ome +mit age +ge tt +wat i +ri sk +so aring +bru sh +f pl +av an +å Ĩ +lar son +sh ear +mul til +blu r +multi media +chun ky +par i +n ani +weir d +cholester ol +char les +dream ed +tan ning +puzz les +fr am +hand ball +ch ag +beli ze +al u +bang s +Ñ Ħ +detec tives +mc g +ish q +bo thered +saf c +mp ing +ten eri +g ays +sail or +an gi +mul ticul +gue ssed +ros é +high ways +bro om +chatt anoo +- ' +see ker +on ed +at f +lu c +> < +bar i +per cep +jewel ry +as ph +sor row +sl ing +mam moth +jac kie +ë § +wilt shire +sa o +can cell +im paired +tor ial +bre ed +guy en +jud ice +tit le +pro spective +applic ants +ðŁį Ĭ +epis cop +e id +b yo +stock ings +ðŁĴĥ ðŁĴĥ +ll p +sna g +keep it +l ough +ol son +matur ity +!! !" +cop ter +i sha +bl i +wil mington +tr youts +th ai +ðŁ¥ ³ +pe bble +kra ft +f p + º +ssi vely +li vin +contest ants +tex tures +jo an +h dr +film festival +prov ence +wi do +op end +c si +sto wn +cro ati +ad just +host ile +analy sts +il an +cu ppa +bru m +newfound land +good win +me tt +mall orca +plu gs +bu k +bb hutto +wrest le +sa ire +sho pped +for za +le head +vi vo +ba st +ro xy +reg is +hard working +hon olulu +desp air +young sters +ni g +impro mp +roll tide +de emed +tre ason +ru shed +for ged +ff f +pikach u +bri ggs +do it +ac cent +la us +gla ze +compet ent +a ho +photo g +mid field +le go +har vard +min orities +re illy +slic ed +once upon +initi ally +financi ally +landscape photography +har dro +qu o +mm ers +par kinson +smu gg +read iness +bru tally +glou cester +mp ed +bbhutto zardari +mur der +ye d +dat aviz +sr t +dow ning +bi ans +m ü +fle ck +fli pped +s ly +brilli ance +ri m +k um +bubb a +ko i +knit ted +sor g +ma is +ðŁĮ ² +ti ss +su stain +sen su +ak han +zi est +exam ines +chardon nay +user name +short list +re bs +on o +dar ing +hard wood +che que +righte ous +light ening +dir k +shra dd +du ra +down stairs +sh al +ami gos +ru ff +s law +ri es +red nation +man us +ðŁĩ§ ðŁĩ· +distin ction +u bun +dur an +mi gra +thi ans +la ver +domest ic +k x +jaz zy +justi fy +belong ing +insul ation +color stv +drun ken +chann eling +qu and +xi ii +enligh ten +kan o +fati ma +teen choice +terri fied +p ba +as ley +met museum +dun e +pack er +ki o +ðŁĴľ ðŁĴľ +bo iler +fas cism +ar mored +back grounds +in mates +embarra ssed +defin es +th d +we go +silic one +lo on +el ding +bor rowed +he mp +ak sh +kaw asaki +br y +de af +kill er +dispo sal +ðŁĩ ° +glaston bury +un covered +o xide +po ff +d ant +k j +ku ro +dri zzle +peop les +fe e +pro pri +dd lovato +pi ggy +ot is +aller gies +u bis +pengu in +ser a +vi z +prosp erous +ici des +tornad oes +sene gal +web cast +sto red +enchan ted +bb cone +bay area +entrepreneu rial +rednation rising +experim enting +ang an +lot to +they re +por e +er p +seren e +east wood +bro kers +bar ge +stal lion +timber lake +tailo red +dy stop +b ate +lat ors +di xit +bran son +dynam o +ky lie +shame ful +bt wn +spring time +mix ture +s ounded +lu ton +dad es +mal a +op ra +en ic +rahulg andhi +se wer +~~ ~~ +ky u +nor theastern +ca er +bc u +nir vana +kitch ens +ous y +al m +river dale +hid den +fl int +sp d +pat rons +katy perry +au gh +exhib itions +sm c +shu ts +at ore +da in +some thing +ber th +bo g +por ter +gen to +con cussion +ang lic +ro we +gr illing +scar lett +master ing +mor nin +comm ented +si me +si zing +christ y +ce os +st m +at ry +tari ffs +vac ation +pre judice +p su +paren tal +far age +can a +cap com +koso vo +you re +men stru +stal in +grape fruit +br an +che sa +dav en +exc el +!! ) +๠Į +distribu tor +ce a +bride sma +millenni al +wa in +ob serving +mis ery +plan etary +expo sing +bra ised +comp ton +don gha +q l +spring steen +th ul +syl ve +cab o +pal ad +niel sen +gaz ing +ba ja +r oud +orchi ds +johan nesburg +se man +d ji +oper ative +affe ction +eclec tic +at c +mut ant +aw x +nic e +mel bourne +indu lg +tu lip +dias pora +wel p +big gie +mississ auga +retri ever +or an +tam my +c ta +hipp o +seas oned +ger mans +eng v +marvell ous +im f +rela ys +mon tan +maur iti +me ister +as surance +reig ning +su fficient +han e +no thing +pos se +nav y +in love +brigh ton +en qu +ch ung +sweat y +es c +cal ed +man s +nicar agua +sl ices +mo cha +washington post +bb n +dam ned +grow ing +en burg +lo an +me s +wh oops +believ ers +spi el +vo daf +l at +s led +cricke ter +brown e +golf ers +bar ra +wat chers +lu igi +sw amy +mom s +pit ched +san tor +cr s +si re +sc amp +bo de +ste war +jon ny +ent ity +pac qui +mind ful +min india +bear ded +temp t +scorpi on +eat on +authori zed +ar to +s vp +op athy +cch ini +house music +disney world +âĢĶ @ +pro pose +di y +expen se +ten g +pupp ets +sm el +d aca +per ry +fin n +boo sting +lefto vers +cou gs +satell ites +man y +az e +g ong +fi e +metho do +fer ries +ðŁ¤Ķ ðŁ¤Ķ +explore rs +load er +attrac ted +il ton +godd amn +pi azza +doc tr +sav ing +paragra ph +visu alization +may ors +work flow +ack les +ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ +ठ¸ +twer k +clu t +lo ver +te ases +si an +o te +deter ior +accor d +l fw +swar ovski +nat al +tra ps +k ina +analy ze +laye red +bever ages +un it +ran som +pe shaw +dest ined +astro logy +si pping +miley cyrus +cam ino +marshmal low +bli ss +out back +fa q +int oler +humil ity +po ppin +hallo ween +mon tene +op hy +nu n +tattoo ed +a as +ðŁĮ ³ +dale y +qual ity +du sa +fisher men +swi f +ter rac +st au +le in +trol ling +ship ment +garden er +march madness +head band +gr t +bur nett +w and +!!!! !!!!! +gh e +du x +hu d +war ner +ðŁĩ ¦ +ex ile +rescu e +rat a +d han +duc ati +dro wn +bl ends +spi e +alli gator +simul taneously +broo ke +u ke +k har +comm union +ri ka +ford fc +chin atown +you rown +me y +can al +syste matic +de pri +ox ford +an il +w ut +equ ation +be z +fle ur +the good +lang ley +ad ity +ed ith +al fie +о ÑĤ +en cry +br ill +ex emp +ce sar +mb ling +ab ri +sc icom +j ing +school ing +mi ka +mechan isms +impromp tu +rhe a +moo re +crime a +be sto +wri ght +el ders +ro ds +kam al +folkl ore +be et +mini on +reli eve +thr o +team usa +pas cal +made with +boli via +itt i +free bies +desi red +best selling +l iness +la den +ke ane +mi sts +hipp ie +atta chment +@ / +se w +flan agan +âĿĹ ï¸ı +supre mac +stl cards +si as +q u +rh ys +ste ep +val leys +v w +pav ing +disp at +al ison +por te +id u +new sc +soc ket +mo s +co star +re vo +prote ins +stanley cup +m cal +ear ring +se cs +mc lean +cap ric +nick elo +ad en +v c +shou se +adap tive +maxi mize +entertain er +pro se +gri ffi +six teen +lam ar +mi rage +saudi arabia +awe ather +ru st +in filtr +fashion week +ðŁĺĬðŁĺĬ ðŁĺĬ +selec tive +bubb le +a den +fen nel +deci sive +m ta +mock ing +mb les +st amp +mu le +bernar do +gr in +po tt +j ingle +vet tel +colom bian +cam o +motivation monday +ba han +p ly +dh ary +k ami +x men +sleep er +gar a +my sti +confi dential +conflic ts +p neu +ce s +insur tech +clean se +me rely +va is +tu x +the great +shar on +ma j +hol a +eco systems +aj ay +aa j +hu sh +har mon +backto school +wiki leaks +reflec ted +ðŁĺ ĵ +commemor ating +ac et +buck ingham +messi ah +tu ous +hor net +to be +d q +he ine +mi g +pl ate +nichol son +sp ie +cumber land +nor mal +pho bia +happy halloween +city fc +mc el +gilli an +ke to +lu de +de mise +su ga +str ate +mcgr ath +visit scotland +foo led +cb r +gc se +col ori +po td +missuni verse +fin ances +ma poli +for ks +Ø ´ +cann on +medic inal +ðŁĹ ĵ +kh o +wre ck +pan to +bag el +gu ll +syndic ate +ic y +pr c +ki en +zi ka +ti sh +pe ta +c co +li za +ch ut +ex traction +el g +gl i +fu eled +pos it +respec tively +leice ster +br ink +vulner ability +im ported +e sha +ðŁ¦ ħ +r ural +re ll +gam ing +atlan tic +aband on +no ah +re solved +pro state +aller gic +ps d +âĺ ¹ +dun geon +fang irl +illumin ated +m hs +white sox +d ently +ck o +endor se +over ly +dazz ling +prior iti +night life +ut il +be have +flam en +east bound +ðŁĴ Ł +ilove you +gov uk +mozam bique +alle gi +dr i +testim onial +ath s +ì§ Ģ +mm y +shab by +pro secco +friend ships +cal am +dam ages +off set +jura ssic +jun o +arre ll +ðŁĴ © +interven tions +dare devil +car ver +run away +ran e +truste es +ha ute +dep ths +ðŁİ Ń +me in +sacrific es +con cier +ne sting +i zzy +me tam +ilove my +ur ine +du lu +mal hotra +ve ins +night ly +co at +an di +he witt +lon el +ci ble +wr ite +jen nie +sant ac +ĸ ï¸ı +str ato +singapo re +sop rano +kri sten +cheer ful +flee twood +fa iri +m eli +wa st +tur nt +sfor sale +sc rolling +angel ina +ren dition +jeric ho +nick y +or b +fla vo +patri ot +ash eville +sick ness +re fund +aggre ssion +b pl +ãĥ ĥ +elu sive +thi story +hang er +bu ffs +vil las +at kinson +sp h +ja it +decl ined +wo k +supre macy +oo tball +ey ang +ðŁİ ĵ +s ford +ath i +consu me +road ster +e so +u pro +reci pe +au f +uc i +ar on +oo oh +cs go +re ich +mc d +min ute +ladi es +pun k +rut gers +mee k +ariz on +ta j +land lord +de gra +autu mn +lyn x +us f +b hi +fairy tale +dongha e +bet sy +explo ded +chen nai +op a +pro tag +br ant +ðŁĵ °: +g f +pal li +ðŁı¼ âĢįâĻĢï¸ı +su t +ill ini +colum nist +shir tless +de centr +sear ched +ec or +bu ggy +s ack +ðŁĺĤ ðŁĺŃ +de t +ther i +or naments +bring back +to v +quarter finals +ic he +con stra +gi er +buchan an +vi x +kay aking +mu stread +swal low +mel b +sc af +op al +may oral +har at +ðŁ¦ ĭ +schedu les +id f +ha gue +ro z +a ah +d mc +du plic +ca che +orph an +frac ture +rec on +ch av +bun nies +al ain +mustaf a +ðŁİ Ļ +vac ations +dynam ite +tex ted +broad caster +ðŁĴ £ +ste amed +rock er +di etary +luxury travel +inaugur ated +sa wards +vaugh n +lincoln shire +click ed +kra ja +f anc +remo ves +layo ffs +mc far +bre eds +win nie +jon ghyun +incen tive +vari ations +pat ton +atur day +persist ent +pr un +pi ers +dal es +æ ĸ +breast feeding +r ance +ta wa +Ĥ âĸ +mur doch +cap tive +thi stle +nic a +commod ity +cou ldnt +board walk +graci ous +practiti oners +n gc +scru m +ner o +camoufla ge +col on +he i +phys icist +saturday morning +ten er +si won +colum ns +bru ne +y vr +ba ir +reti res +hal am +cab er +shaz am +min u +cas cade +milk shake +gri d +d ren +vin cent +so dium +plat ter +cheer leader +chen ko +y ak +elimin ated +ty po +y man +re think +âĿ Ĺ +ts ville +bernardo kath +ex tr +ðŁĺģ ðŁĺģðŁĺģ +ta o +re per +mo ths +em powered +c iting +transpor ted +mon ks +san at +cle ars +bachelore tte +camp bell +racha el +har le +hand ler +climb s +inter ference +rele ase +sh and +r bs +hr h +ãģ ª +val le +r é +sli me +w akes +chu bby +slo an +el ves +ath en +attor neys +micro scope +ston er +sc aling +o be +c out +se man +mid week +bal sam +ðŁĺį âĿ¤ +ti ful +v ish +lo tta +ri pping +re mn +ti re +le ap +ha vent +la by +hi mach +whisp ers +we in +ðŁİ ¸ +wild flowers +se le +u cc +li ability +az ine +sw ings +k ya +ta ir +re main +e do +flo ps +poc ket +grand ad +exam iner +gr is +ffe ct +ðŁijĬ ðŁı» +stud ded +heart beat +de acon +firm ly +infec tious +ste f +out lines +le asing +cla ws +sen se +tab s +hoo t +mo sul +spa wn +co a +hog warts +ve in +alban ia +manu el +b ino +vaux hall +scot land +go bucks +mat ty +phy sio +tor ino +const able +investig ated +s lower +mistak en +bay er +wild fires +vo ic +x on +time to +chas sis +bar ric +pi on +bald head +woo k +regi str +dra fts +b hs +li gue +l ick +staf fordshire +baf ta +dar ry +je anne +ven ding +cor p +⼠³ï¸ı +kid dos +fen way +ca o +west bound +ðŁĺ Ļ +dv r +quick er +bla h +goo die +ðŁĴĭ ðŁĴĭ +vo x +esp er +fac ade +cor relation +red bull +rou p +decl ining +chi ve +mc gee +tur o +in der +f eller +fu g +il ysm +mar di +peshaw ar +ki eran +ine ma +meat balls +pe ck +depre ssing +sen sing +gi z +dd ington +spring watch +ro aming +yellow stone +horse shoe +am man +week day +ol or +ðŁ¥ ° +boo sts +spr int +scar ves +je e +bee tro +cl an +all the +ìĦ ¸ë +enlighten ment +ado be +re generation +? @ +cont ag +yach ts +to u +mor a +en voy +r ani +go li +dhanush kraja +wood working +streng ths +se di +disc s +ar ina +sc on +lit e +ano ther +ðŁ¥ Ĭ +ye men +gu ern +sav vy +lo yed +biom ed +heart break +comra des +milli e +pat ch +un f +jar vis +bl aming +commemor ation +ge y +å ¥ +cardio vascular +alig ned +docu ment +. ? +aesthe tics +em u +the irs +le h +ps ic +si f +pl ateau +ex pend +domin ating +rob es +mauriti us +excep tionally +hom er +discover ies +bra un +ten nant +insul in +ðŁİ ® +car bs +te as +? !" +zi e +franco is +brow sing +th ol +cla rence +hel per +ob tained +cas sie +le es +! , +pome gran +hu bs +presti ge +] [ +mach er +bott led +pun ch +pi pe +o ch +gall ons +deliver ies +u ra +un day +mon de +depic ts +re gency +outra geous +khal ed +car o +he arti +za g +develop mental +over coming +stati stical +flavo red +for ds +cre atives +lau rence +di as +sun screen +in ked +pre acher +n ul +impac ting +auti stic +âļ Ķï¸ı +o ss +pel icans +cele ste +v b +ru mp +mc gra +fair fax +hu mor +bbc news +row ling +cal der +seam less +ag ne +p ti +mix ed +t shirts +mer ci +b tob +women instem +genealo gy +pre ven +l our +cra dle +gi use +Ð ¾ +chron o +fair ness +chocol ate +tor y +as da +pre scott +stret ched +al man +u il +re charge +in tre +ob st +hosp ital +hay ward +teneri fe +fried man +vap ing +confe ssions +ye ah +bal li +luck now +cor pse +sculp tor +amp ton +t pp +indic ates +sur plus +tru man +ðĿ Ļ +sin ha +in vo +sovere ign +ke v +establi shing +engra ved +assu ming +ðŁı ģ +sou za +fab i +ton ed +oun ge +del oit +dow ney +no ble +om or +car tridge +ðŁı IJ +u hur +hol loway +succe sses +r sa +âĦ ¢ +ma zz +tw d +disc ourse +. < +y at +satis fy +com pri +ठ¹ +graph ite +disser tation +ar ter +í Ķ +b ally +zom bi +ly ons +a ic +u bc +pra da +e il +da x +cla i +grand daughter +extravag anza +chall enge +ðŁ¤ ŀ +po ver +primar ily +dad dy +man a +bi kers +inqui ries +da un +fel ine +gener ative +he f +benef iting +lind sey +pol ka +demonstr ated +al le +rand y +o su +low key +weir dest +red bull +our y +n ous +wood stock +cre denti +nic er +g ado +aly ss +ap h +prepa redness +station ary +incorpor ated +dy er +sarato ga +cele sti +: " +antibio tics +or gs +inde fin +ap ron +и Ð +fif teen +no f +ðŁĶ Ŀ +ph x +te ga +m z +organiz ational +on air +band ung +pleas ures +mor i +secre tari +rac coon +ca shi +pil ates +k on +geof frey +la o +kam p +depart ments +back packing +an am +à « +crack down +aun ty +on do +li zzie +ph ers +cu n +ðŁĩ ± +k pop +pu t +inten tional +connol ly +bar clays +hs fb +swin don +u ku +s ally +a int +âľ ħ +pen ang +up lifting +epile psy +inter ro +bun gal +go ku +blue berries +ठ¦ +u ssia +sil ky +mou red +i stic +bri efs +me ats +go b +ch aser +state wide +pra sad +gl itch +ar in +ban ff +memb er +ðŁĺŃ âĿ¤ï¸ı +lo ving +hall a +ภ¡ +smo kers +yak u +scicom m +physi o +sw ol +lem ons +gel ato +ch ool +capit als +ki stan +ti ghts +spi kes +trav ellers +ik lan +commissi oning +ar ine +emabiggest fans +empha sis +front line +pad dock +destruc tive +ba ha +l inger +je wish +shet land +mc gin +mon key +ko z +s one +raj ini +te h +y en +c vs +masqu er +gir ly +we sle +was nt +bro dy +termin ator +gil le +mag gi +bir die +jeopar dy +cu bic +vm ware +intric ate +an up +to pia +east on +sab res +investig ates +bu sting +bil ingual +valent ino +in format +fer re +advent ur +hydr ate +for sy +az iz +san to +e de +whist ler +continu ously +d ham +un used +ji had +addic tive +vi dy +do b +i do +fi ed +ni versary +n one +fu er +ðŁĺį ðŁĺĺ +coven ant +prin table +immac ulate +o em +cl t +serv ants +consu med +un released +sc um +pack aged +me re +ìĦ¸ë ¸ +to by +ta f +spo ons +me al +f ball +fair field +jan et +silver stone +dart mouth +follow me +voy ager +kom bat +anni ver +ene w +mag dal +ho ve +sa th +grizz ly +car di +gart ner +sand y +kan ye +post ure +po ign +im pulse +radio logy +horiz ons +si am +aish war += => +no che +tr is +el yn +com me +du i +ce c +councill ors +cudd ling +creep ing +loc ke +manag es +trans ferred +ne cks +di er +dan o +v ick +lun ches +d he +en sures +cri ss +ul ster +bann on +cont enders +sp am +sweet ness +med al +hon duras +arc tic +ultra sound +in fr +disco vers +ei ffel +ca sters +ru ben +du st +awe ed +atri um +lest we +se ared +ðŁĵº : +ty ne +ex changes +little mix +l le +astron auts +hersh ey +work day +kno b +so v +re signs +today show +der man +an th +af c +ta ster +sw oo +sa eed +per ing +narrow ly +rn li +best buy +panas onic +obst acle +farmer s +ðŁİ Ļ +pa wan +ki est +ang ers +absur d +oh my +sin o +pist achi +sp ice +giu li +prime time +ko w +k ens +ex agger +! ?! +u ba +midd les +ju dd +e jec +slam med +pen sions +of a +re create +b hp +xx l +liver pool +thre sh +pur ity +ni eu +hol ics +wr ath +ra do +gli o +am ma +dile mma +cr u +lets go +.... @ +âĿ ĵ +sugge sting +tru mps +hor us +f v +ic om +refer ring +predic tive +tar ts +ge tte +so ck +glo ssy +pin ky +al ec +thy me +ou ra +thero ad +pe tr +cr am +p fi +dv n +me ier +incen tives +tun nels +mobi l +rec ap +extra s +upri ght +rev amp +per severance +, - +ot p +mir ror +ar wx +ger ry +ma her +g or +hom epage +am is +ag ra +made le +best friend +sirius xm +bun dles +admir ing +t dsb +ðŁį ģ +ch as +slow ing +ro h +wall papers +âĢ¦ / +tek ken +gang s +tal a +lind say +shou l +line backer +tool kit +ur anium +caly p +ab rams +mat thi +ðŁı ¿ +hon ourable +da yo +ver sail +tan k +st c +fr itz +spl end +pat ag +anno yed +on day +devast ated +chattanoo ga +national ism +mas sey +jen n +tail or +dev gn +org ans +zu cchini +on fox +sat ire +wex ford +dis grace +no to +vol ta +âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ıâĿ¤ï¸ı +à ¶ +home owners +poin ter +m cr +au sten +day sto +mo ons +pal ma +gra zing +e so +influen cers +shahid kapoor +compli ant +measure ments +develop s +y d +par l +p vt +rand olph +tor tured +ger ald +eli as +deepi kap +war mup +hick ory +g ap +co ffin +am our +re neg +moun ting +seven s +ig le +hi er +dec ad +tri ght +esc apes +wer ner +t fl +ful filled +ni ger +sour dough +re aper +choo ses +spin ner +week nd +fil tered +sh uk +kat i +old ham +open source +kh anna +at elier +conne c +opho bic +gla s +complic ations +ar son +counc ils +sm ol +as sy +lur king +ling ui +han ks +e in +Ù ħ +ru gs +n guyen +nou veau +men ace +le v +alad din +ru ining +round about +k m +con or +shoo ps +may day +traum atic +prab has +ka iser +k ita +rou ter +pe dro +re tar +stun ner +spani sh +distur bed +acade my +e learning +wit ty +sen g +fer al +av y +sta b +ke aton +ur du +ko to +hu i +coo ke +ari an +the personal +u ma +se ap +a sting +rhetor ic +hand writing +munici pality +consor tium +ðŁIJ Ł +glasgo w +ra ya +eli za +polym er +bro th +prac ti +correspon dent +addic ts +gay le +ail ing +o fe +p li +hear tw +st itch +sight ings +prie sts +sam o +slo th +good wood +roc co +sab c +summ it +l ace +pres ley +itt en +cin cy +thepersonal network +s week +pe gas +af con +regi stry +ci m +le th +dic ap +cand ice +flu ent +sm ack +pede stri +al oud +car ac +priyan kach +p gh +ir ons +dol ce +lat via +dece ased +thero ck +cla p +cen e +fo am +morris sey +gre t +essenti ally +com cast +be agle +argu es +ing ed +- âĢ¦ +sa g +ha san +ðŁĻ Ĩ +ðŁį ° +nh ra +kann ada +indic ators +on er +bri xton +at as +screen play +sor ority +sha heed +he em +class mates +tain ment +es i +breast cancer +zucker berg +aur or +en cia +ref ers +kae per +vor tex +com part +lym ph +photograph ing +ste ff +rest ling +par sley +mom ento +th man +lac king +du tt +ocu lus +fin o +fren zy +ra sc +der n +dis missed +noo k +met gala +sh ill +rapha el +maver icks +exhib its +eag erly +c pa +amen ities +. âłĢ +exo dus +ern st +lit a +deal t +womens march +i ain +score board +campe ones +c en +ti ki +garri son +fidel ity +bra g +road map +psy chop +lo e +ble u +ðŁijĬ ðŁı¼ +sau vi +spr inger +temp tation +ru dolph +ac ura +wic z +parach ute +stro l +len ny +zi k +dom s +nb af +al pac +vivi an +ro ve +pre et +perpe tu +sna ke +air soft +infl atable +prin ces +ati e +ffe y +pati ent +m ire +chel le +sl ack +groo vy +# : +up loading +!!!!!!!! !!!!!!!! +siem ens +provi sion +v fx +need y +f ats +to poli +bhu tto +sa thletics +alu ms +t winning +south western +adop ting +last night +man ne +la ga +tw ell +ac ia +-- -- +eye wear +hur ley +fle e +sa ch +pe cker +cost ly +is k +cr ates +polic y +ero sion +in go +wer k +ðŁIJ į +torto ise +therap ies +inter net +chihuahu a +ri ps +fre i +ed or +tai ji +t fc +do d +demp sey +christ in +chen g +hi ps +gra eme +com passionate +cavali ers +histor ic +soul ful +crimin al +ja c +vin ci +expi red +sur at +turi smo +k ona +se aweed +ber ts +le ica +expre ssing +a al +wor t +break fast +her ring +am used +rhu barb +mar tian +cospla yer +y ash +stri al +ra ul +refer ral +dw ts +j w +ad ler +cur tains +gu r +val ence +tyr one +sw fc +coach ed +re born +diabe tic +cho ke +nor folk +investig ative +ðŁĴ¯ ðŁĴ¯ +z id +v mas +phi e +objec tives +âľ ĭ +over due +di vers +mat su +ðŁİŁ ï¸ı +casu alties +ภ§ +al k +stand ardi +re alist +arti facts +pand or +ke x +in vin +( !) +ine y +par aly +mr t +fay e +the voice +on ga +de ed +skin ner +az wx +speci men +priyankach opra +nu evo +bar kley +toulou se +resu mes +football ers +cit i +fe tch +è re +lestwe forget +ðŁĻ ĭ +ch unk +dri fting +manipul ation +equ als +pu tt +ky ungsoo +âĿ¤ï¸ı # +ela stic +par ano +fo y +do ping +cin cy +ss ler +interrup ted +al ay +ado res +ame thy +con voy +ãĢ ı +Ĭ ãģ +black list +gener als +sa chin +bru shed +oun ces +non stop +illi ams +bt sarmy +u av +ru ff +bur ma +bi k +defen ce +schul tz +bo asts +lonel iness +go re +trans forms +alum na +@ @ +ra ppers +ne hru +car o +himalay an +wearab les +ge h +pepper mint +re development +flam ingo +cos by +big baldhead +ag ri +bare foot +sco pes +re gram +gh ana +ðŁİ « +i heart +sa die +carri e +microbi al +ku ala +sk ater +quer que +âĻ © +gen res +reas oning +ch ased +as o +sli pped +en can +vam os +ker s +ad verse +mo il +commod ities +with you +sil ent +hy pe +an de +am ination +whi spe +lit z +âļ½ï¸ı âļ½ï¸ı +ri ff +pp y +lam bs +gan esh +ab sent +regu lator +marse ille +en roll +par cel +wa p +by rd +ðŁĩ Ń +tu ber +country music +par l +contro llers +responsi bilities +we y +ch ate +montene gro +chic o +mil an +l ms +tra inees +appropri ately +un certain +popp ies +ed sheeran +nutr itious +gar o +deut sch +awe some +ãĥ ¼ +comfor tably +land marks +et i +re usable +daniel le +ro sal +co les +just ic +c cs +f anny +ni m +mc u +clin ch +at ene +mer ge +im db +ang lo +uc cino +pan ini +an not +bur berry +feat ure +predic ting +fashioni sta +s ask +imag inary +mm o +south sudan +spe ar +hu bble +jo inthe +coyo tes +sli go +ko dak +sit com +polaro id +roo ted +corru p +ðŁĻĮ ðŁĻĮ +bris ban +at z +ah l +re my +tal ent +aval on +ra da +pau line +locom otive +go ons +ne mo +maser ati +ic u +stu tt +histor ically +sm b +pres by +avo id +so oners +rhine stone +w ad +ri sing +tro t +mo des +reg ent +optimi ze +re ece +sm u +ver ti +newyork city +cor tez +ra c +in case +sin c +fiel ding +e tta +tiff any +al monds +sad dle +k rat +mat ter +g low +star ving +gl o +cra ppy +sl ur +st d +monit ors +recei pt +maymay entrata +mc il +un is +rain bows +cal dwell +pacqui ao +j op +a fe +hoo k +es sen +wiz ard +medi an +fla ws +com s +âĿ Ħ +ing h +ha ynes +anton io +tem plates +ou ter +na w +cardi gan +bel grade +ðŁĴ ī +hom o +a ise +ro pes +no ve +what you +tri gge +concep tion +ad ukone +na di +fri ars +sw er +adju sted +hot line +san ity +kau r +down loading +c gi +ten or +eth nic +app alach +ภ¸ +pa g +gol ds +on set +investig ator +car tel +peace fully +jarre tt +cat alan +poli o +n um +fru stration +dhar ma +my life +âľĮ ðŁı» +aber deen +mu sa +bin der +spark ly +fle eing +instin ct +co ping +domin ance +ill ers +er a +u conn +lo oms +living ston +gal i +he s +c ma +bel a +se ley +mon k +la ch +mar x + ´ +m erica +woman in +es sex +ra ina +jim i +nep tune +z ack +chine se +mart ins +chand elier +her n +with us +ear l +asph alt +modu les +st p +ul la +psychi atric +mile age +captiv ating +si der +men to +mor t +tran ce +tal bot +ab by +ì ĥ +âľĮ ðŁı¼ +j ak +daw n +turn up +scre wed +fe ds +blue print +ðŁĴĸ ðŁĴĸ +har sh +er os +insom nia +ban kers +ta emin +mis conduct +hu mber +gi di +edu ardo +con a +musc ular +consu ming +ra sh +don nie +di pped +col lie +samu el +melt down +ðŁĺįðŁĺį ðŁĺį +me z +exam ining +schwar tz +pri stine +ðŁIJ Ŀ +ve it +ful filling +an esthe +gue sses +dra ft +som me +soli d +pati onal +ho ped +evolu tionary +all er +enter tained +sli ps +lud wig +conclu des +sen sible +bon net +cra ze +tra s +haz ards +const antine +ed ics +star trek +to c +occu pational +in cheon +deepikap adukone +pizz as +new comer +de part +oppre ssion +ebon y +foss ils +tro jan +el en +ste aks +k hou +positi oning +ug by +red cross +ak h +dol ce +us mnt +pp en +dil ig +ma vs +call er +cost ello +⼠Ħ +dy n +thing s +rhin os +a xi +sar kar +con vocation +att ers +ss ss +fun gus +eu gen +russ o +squ at +w sb +eli on +william sburg +s off +defici ency +be arer +o kin +key stone +t wain +cal ming +break able +wa res +horser acing +com bs +bun ting +u it +t land +ðŁĴĻðŁĴĻ ðŁĴĻ +ga stron +sab ot +ick ers +commissi oners +sen ate +ii ot +ath ena +nit rogen +an tony +ero tic +di alo +mis sou +hypo cr +âľ Ī +kaeper nick +can v +d roo +clevel and +o sh +mon sta +stefan o +^ ) +sh ul +po ison +ha e +commerci als +ma ul +nit ro +co worker +alo e +vap or +t ents +russi an +qu id +question able +mid get +po ker +girl friends +sin the +erit rea +ten ure +depos its +buc keyes +spot ter +theod ore +trin ity +joaqu in +u cci +follow the +caf c +mp a +ðŁIJ » +plo tting +dom ino +ta ek +sion ally +dicap rio +pa p +car mel +ig er +bt cc +beth le +www bigbaldhead +foo die +bagh dad +mason ry +off ended +à · +ภģ +sc ro +vers es +ori ent +ar ches +pi yu +know your +gre e +ta kers +gu ard +dish on +bucket list +bha fc +war dly +ðŁİīðŁİ Ĭ +leigh ton +pe w +stra y +assaul ted +in hal +ly fe +amar keting +l x +kat z +ubun tu +me o +carto onist +turno ver +mi z +dis like +mul len +mo f +bl and +hi des +emer ges +chori zo +truste e +ma hog +lan sing +paralym pic +fa int +fa una +ch al +sn ar +cat h +bent on +cast illo +sli ppery +apric ot +oec d +bar o +l z +he ming +clow ns +co workers +peru vian +commu ters +y ell +ðŁļ ´ +under ing +v j +tt p +fli pk +w ana +soc ent +Ĥâĸ Ĥâĸ +ठĤ +oo sa +jag ger +di sm +e less +d ham +cali f +a official +ec lip +harro gate +gra pp +com rade +n tr +concentr ate +thi ghs +bit coin +bel arus +ë ĵ +end uring +now watching +industri al +pi p +ar on +ar at + ® +whit by +oooo ooo +sa ree +tic als +mis leading +yo on +year s +sle igh +roman ian +sciss ors +vam pires +ac up +ab ba +th weeksary +cent ri +fl ye +u o +c bi +bu ena +sin d +mar ino +bur r +re building +ठ² +anniver saire +ac ca +ðŁĴĢ ðŁĴĢ +gett ing +tu lips +wolf pack +âľį ï¸ı +more than +ta kin +ðŁ¤ĺ ðŁı» +u be +mon ic +dou bts +mo wer +co balt +don ne +specul ation +argu ably +kak u +htt ps +prosecu tion +din ah +stam atic +disclo sed +bever ly +fl wx +cra bs +extraordin aire +war mest +imper i +o logists +trac es +par c +lake side +am r +ter i +hour ly +domin ation +ar row +shrews bury +ance stry +wr angler +trigge red +pen sac +roo ster +survi ves +a on +bo ko +val or +love is +la g +pe y +fo cal +out laws +bl anc +artic ho +wit s +marsh all +die go +support small +u ca +sa h +je et +syn ago +gover ning +ðŁĴ ¬ +sal ads +cre ate +miri am +cen sored +ami de +no u +z eta +allegi ance +* ) +bl m +ric an +pa stors +oly mpus +blo c +whir l +star ry +pr one +y k +p ne +congratul ating +be v +so ber +love island +sa ir +an ing +tutor ials +q e +lun d +in ist +cle ver +taxpay er +ali z +wren ch +dd ling +cap ri +h pa +ðŁı» âĢįâĻĤï¸ı +na j +o j +futuri stic +jelly fish +ðŁĶ¥ðŁĶ¥ ðŁĶ¥ðŁĶ¥ +cel ery +plan k +fil a +ne me +un healthy +lec tions +ðŁ§ ¡ +rit chie +n ws +mi kha +wonder woman +âĢ İ +hip stamatic +ka g +ðŁĴľðŁĴľ ðŁĴľ +poul try +mo w +wor ds +lo ff +ðŁ¤£ ðŁ¤£ +relat able +re mixes +keny atta +ke m +re signed +fo d +stra igh +j lo +hu tch +box ers +colle en +mag s +instruc tional +ko l +attrac ts +pra g +account ant +go ggles +br u +th ole +mar row +leu ke +oc to +pon ds +bubb ly +he ist +ìĹ ij +im p +a har +ha unt +hall mark +psy ch +kkkk kkkk +col umb +jump suit +cost co +si delines +ag gies +over turned +ni b +key chain +fu k +f af +mi am +assist ants +cy cled +ri der +dam mit +red wings +mag es +kin s +ì Ĥ +ho d +son t +carol ine +" ' +cu le +bra id +fel ony +ar ities +ruther ford +depic tion +isab elle +ro ach +k day +fifth harmony +em y +li gam +bari sta +albu querque +gro ss +ðŁį º +oo ks +ðŁij ¼ +dun can +try in +jag s +g ould +li tho +âģ £ +а Ð +sam my +tun g +cas ser +apo lo +aaaa a +man g +as ics +sh en +p ye +tur bul +ss p +saint sfc +on lin +n anny +he ster +do z +ภĶ +th read +ren ts +kh and +ðŁĴª ðŁı½ +un conditional +rob son +car re +ph on +sacrific ed + £ +auto s +par ker +oc a +log in +kee gan +hard cover +dough nuts +ðŁĮ İ +spit fire +refresh ments +saskat oon +commod ore +j f +rub ber +halam adrid +child care +stra da +io m +ri k +dak ar +ther mom +cro pped +gar u +ali k +ven i +i ft +si ka +ritu als +z ul +e ch + © +su dan +l land +i me +do cker +ì ¤ +fe ared +fa o +wal ter +no g +mutu als +l h +ali gn +mon ia +concep tart +ðŁĻı ðŁı¼ +sco e +compet ence +sw ine +ly me +laun ch +green er +abstract art +inqu is +gran ada +ga elic +flu ff +d backs +grave yard +ba be +acade mic +adventur ous +joh ann +~ ! +bi bi +| # +pl ings +gett y +as b +âĿ¤ï¸ı @ +staf f +religi ons +bang or +world bookday +me gh +de vin +ash ore +meri dian +gi thub +qui z +all stars +be stest +ir resi +ack er +do te +war rington +pol ly +newor leans +cr ou +wi gs +che y +smithson ian +la sag +de tour +bor is +stra ps +mari ah +inten tionally +ko h +ðŁį ¸ +ssi an +mar issa +cor al +episcop al +casu alty +tom o +supply chain +sam p +on go +ro o +cavi ar +p fw +clau dio +buff alo +s ations +mat ty +snap back +l ds +al arms +mat te +âĺ Ķï¸ı +conditi oner +d ors +he x +fi zz +a stri +sus sex +secur ity +qa eda +all star +cocac ola +as one +cl icks +sc ans +mu te +he avier +ðŁİ § +âĺ ŀ +lv l +book boost +youtu be +fla shes +f jor +c su +explo de +do dge +cair n +gonz ales +th ill +pel le +hart ley +renew able +re tin +e stre +costar ica +shipy ard +nc fc +pri ya +a ghan +an ath +plu gin +co rey +re bound +or u +kat rin +hor mone +gi m +mahin dra +s sus +park land +har per +fanta stic +infer no +ep ilo +wrest ling +fe ct +c it +ac oun +to ssed +monu mental +char tered +bu st +pe tra +âĮ ļ +wildflower hour +sweat ers +* . +bl er +ate ch +go wan +demo graphic +bra l +suici de +renov ations +vu el +sin ister +ar mani +miso gy +ph arrell +nap s +un iting +crusad ers +cor gi +insu red +than i +no or +g q +d ada +bicy cles +snu ggle +sch an +ten berg +ss al +fe mme +bo il +½ ï¸ı +re ap +occur ring +hus sein +divi d +sto ke +sh alom +na ia +o lic +frustr ating +Ù ĩ +ig s +gro ver +scen arios +n ds +bru tality +med alli +bu on +sas s +skate boarding +ony x +lor ry +ny u +gau tam +mm ings +gu g +end i +lo thian +comm ando +chal k +ph ora +asse ssing +ti gh +crun chy +ad ay +is l +ci ara +pilgri ms +kam al +p to +brit anni +t ani +sm c +l ure +app store +ab y +golf ing +cl c +fa u +an as +shu tting +regul ated +carn age +scow boys +all enge +c ma +humbold t +rel le +ku mb +her i +refin ery +sound check +d wayne +bos nia +i sp +the alth +anni v +relev ance +my a +bag gage +dre ad +s bc +th ed +bu h +hi jab +lo id +ke w +c te +respec t +lovel ies +cu bes +celebr ate +dir t +sav ers +_ , +gar ment +pulit zer +mas jid +beat port +al arts +encry ption +s ner +ple ads +found ry +sym metry +ru mi +birth place +scallo ps +supp le +pivo tal +t ati +no de +so d +pro xim +tr ics +col dest +bren t +mand u +cla ir +e ach +and alu +hi ddleston +ðŁIJ º +mel ts +v ance +pin n +se ments +scre ened +sa chs +o bl +ic ha +âĺĺ ï¸ı +school ers +heal ed +lo gged +ðŁ¤ĺ ðŁı¼ +ic us +bore dom +b ish +b ffs +tal king +sure sh +hoo kem +de on +de fl +ei leen +ðŁį ķ +women intech +ri sotto +rang er +adverti se +ภģภ+tel ly +la go +dart moor +d ong +sk ates +lo go +un ner +mail box +ma sala +lo oooo +amethy st +che wing +c bb +australi ans +rc mp +game art +# ... +kor n +extre mism +fruit ful +anci ent +pu bg +pol ite +wh it +mur als +m gr +line man +dav ao +ste ms +ten nis +av age +tu pac +gigan tic +hs bc +auto biography +up the +ี à¹Ī +re gal +fig uring +ku l +mis sy +hoo p +gra s +for ums +back lash +abduc ted +p nw +min ic +bu tt +bott oms +at on +ven g +ðŁĮ ı +del aney +prab hu +fan club +over haul +health ye +sy no +aa f +ren amed +kim i +un cle +man city +se u +qu anti +este em +um in +en zo +mel vin +under go +j har +far ah +coast ers +humph rey +mh z +children s +^ . +d hi +disrup tive +integr ating +r nb +over sized +a ide +ne au +docu mentation +ðŁijĢ ðŁijĢ +pal o +hear th +ri yad +pun ctu +abc news +secu res +boy band +bir ch +ju co +tra ff +legislat ors +bay a +ãĤ ¯ +no ises +collec ts +s warm +k ner +bi shops +stur geon +snapp ing +mo l +fre aky +chair person +tro p +lyn ch +car cin +art sy +e sto +cha i +fl ur +inv ali +sau sages +im el +j or +fun fact +wit ter +puni shed +ac ons +h ya +re versi +em c +dif fu +z x +sp aw +cla d +d mit +hol land +fre sco +pay roll +ab undant +stu ffing +mor o +c ny +boy cott +wend y +ele ven +pro voc +pil ot +tr x +be ad +climate action +ri on +assi e +ì ĸ +o sm +islam ic +ho ar +good reads +al ici +afterno ons +spoke sman +jo lie +it as +masc ara +âĻ© âĻ« +pre vail +beetro ot +lu jah +k li +dod ger + » +ru le +l n +scre am +ho bart +col bert +r tc +er m +pat ro +quo ting +s live +que st +non fiction +semin ary +prosecu tors +ve st +express way +g ge +nau tical +et f +ðŁİīðŁİ Ĭ +dur ation +cha ired +the film +fab io +she h +can o +ðŁĴª ðŁı» +with draw +! :) +cor pus +phen om +yel p +la wn +ent om +snapp er +but te +pin ball +pro xy +libr e +alle vi +n ada +gabri el +fo wl +eure ka +daph ne +tu nes +pun ched +wh ore +jo g +ren tial +man ners +o pe +wh ufc +gu th +revol t +sne aker +philharmon ic +ho ste +sovereign ty +ðŁĻıðŁĻı ðŁĻı +fish ing +sci art +fe ta +i pp +dump ing +kel own +gir i +dig its +sal u +san jay +twee ters +sp as +col chester +sc ab +ma dd +๠Ħภ+Ä ĩ +ged don +march for +do p +maure en +un plugged +di do +fashion blogger +up a +mex ic +tar y +pol ye +jame son +v t +grin der +mad dy +consult ancy +¬ ë +leagueof legends +ac cents +um ni +jane iro +tu ss +h ens +ampli fier +to shi +pret tier +pre vents +new town +red wood +vant age +ball ard +ar tof +a she +a sion +lac ey +ap at +gro ve +ภĦ +rw and +real tors +tra itor +bed ding +ö r +zi on +fla shing +cam pan +boom er +secretari at +ab ol +liti gation +cont amination +se dly +shred ded +in for +do herty +bench mark +ro che +skate board +sho vel +i zz +to pper +o ster +laby rin +autu m +k ong +hum mus +vi z +tech news +kla us +am using +socialmedi amarketing +i des +cast ell +ste e +underestim ate +cal ab +pa ign +b illing +unanim ously +g mb +fly fishing +hath away +commerci al +colour ing +skul ls +pivo t +te p +tb c +motor way +x press +construc tive +pu k +under lying +kir sten +mani ac +cha o +se ma +chiff on +ðŁijĮ ðŁı» +ver ona +kom o +stan doff +wi ped +c ated +bla ir +wor kin +m sc +bethle hem +swi pe +unexpe c +pe es +pe tri +orig ami +ðŁij ħ +mex ico +flav or +ru dd +cannab is +mar u +ri ddle +wor shi +sil on +sch at +ap se +tang er +bi ous +e er +questi oned +o zar +dan k +angle sey +char an +bak u +compe ten +re pri +bat ter +sa xon +cal ves +leng ths +$ $$ +âŀ ¡ï¸ı +immer sion +ga unt +car ry +cy to +b anda +shu tt +experi ence +el gin +mous se +ta z +ê µ +in correct +en z +b ham +mor on +so ver +ar un +ti pped +la ble +de arly +bau tista +í Ļ +mor tal +woo p +dt la +sho cks +dav os +ðŁĵ Ŀ +swim wear +her man +ðŁijĩ ðŁijĩ +z ir +neglec ted +grac ed +campu ses +av s +ar ora +swach hb +live pd +ac cra +enqui ries +shoo ters +kur t +vancou ver +brad ley +gar da +g ü +ol la +attrac ting +up ton +ne win +lu mia +furn ace +ev ers +e on +sw a +roo kies +a oc +v ss +bris ket +tor ch +yo da +heart land +tac o +ph ony +food bank +ab bey +bab ylon +u y +gre ate +expre sses +d andy +sc apes +survi vor +ron d +e ci +ha vin +ab el +chil dish +tor que +wav y +ur self +kanye west +year of +ale stine +o brien +al fon +sk ag +kore an +anchor age +val eri +de w +ðŁİ ¨ +land slide +car ole +christ en +go phers +af i +priyan ka +q q +power of +it te +pc so +tw ol +pr y +intellec tu +guer rero +pi les +wish list +w ren +time table +ë ı +prodi gy +gibb ons +. / +ne ur +anz ac +mur ray +vie st +pla ster +la ir +art gallery +inter continental +g br +bell ator +nam joon +mam mals +am el +y aw +saras ota +cam ar +bud ding +sum mari +aco sta +la sh +ey ou +post graduate +instruc tors +ti g +const ant +were wolf +ic os +cla s +glen n +bud ge +ðŁĻ Ĥ +er ta +sta ins +persecu tion +cumb ri +o ch +syner gy +hu ang +scand in +mid terms +comment ator +regar ded +perpe tual +bo iling +al p +lan ge +sch le +fac eli +twee ta +ri dden +ok toberfest +charlotte sville +ik lan +jo u +ch atham +b sc +ðŁį ¦ +stra uss +mel low +xx xx +happy hour +re actor +ww er +distr action +at orial +ðŁĴª ðŁı¼ +twin peaks +fay ette +a or +ko k +bro om +sy fy +ou se +am ag +Ø · +ubis oft +lu lu +hall mark +stu art +it ya +si deline +venge ance +re lu +sex ism +boun cing +un ites +gu stav +te ssa +stu mp +pro clamation +ima x +divid end +col by +ðŁį İ +play wright +un safe +co smo +ðŁĩ²ðŁĩ ½ +cup board +constitu ents +ang lia +ram page +ðŁĺįðŁĺį ðŁĺįðŁĺįðŁĺį +than ked +take aways +shro ff +de bat +kh ur +conduc ts +format s +à © +port age +graph ers +u ten +pre m +mo ines +condem ns +s ous +l ps +f cs +deal ership +leuke mia +bure au +ski d +guardi ola +ca ster +thir d +avoi ded +en cyclo +c sr +vi xx +analy zing +she ar +dulu th +shap iro +chan ting +stre sses +as be +mil itia +ãĥ ª +col lin +arsen e +sure sh +teach ings +yi xing +sh ill +nu des +sv u +clear water +war ped +pro life +artist son +it u +versail les +galax y +ax el +spring st +cal a +hu hu +sc u +commit ments +exe ter +poign ant +mo tion +conserv atory +row dy +rec alled +mu sk +emb elli +so the +âĺ Ģ +sto pper +sch ild +to pe +el mo +zi el +j om +barn sley +snow den +on tour +jour ney +hills borough +par ole +w ts +mo ving +ag ility +tiv o +ff ers +kindle unlimited +g wen +ann an +ah mad +tex tured +hepat itis +dra m +insi ders +tis sues +ãĥ Ħ +fc barcelona +cr atic +na acp +pe can +f gm +custom ize +concer t +g sm +pe g +p one +justin trudeau +super cars +happy holidays +bu lar +ado x +lap tops +digital health +destin ation +gradu ally +áĥ ¦ +popp y +ss l +inhi bit +star light +of fro +glo omy +x per +hal der +im plants +le to +hass el +a as +un told +en ci +liber ia +or an +con tests +il ah +sma g +sc out +mari anne +cr yo +schedu ling +lo s +kan e +stutt gart +ne se +law rence +da in +pho tom +car ou +ภ£ +g wy +national dogday +roa sting +band camp +kentu cky +stret ches +ke rel +ca she +ãĤ ¸ +sta x +tran si +dog gie +at ric +hal le +ci vic +brow ning +lein ster +cat day +high land +joy ous +in cumb +or lando +ro mo +col ton +del ta +car ab +ro tc +aster oid +goose bumps +mo logy +yo ko +an ds +tomor rows +red carpet +sm p +ca sio +ðŁ¤£ðŁ¤£ ðŁ¤£ +se au +rejec tion +rot ating +bi partisan +th un +mat i +bon i +ol l +ener gye +do it +l j +mother hood +lou ise +neck laces +el ite +ni x +l cs +en v +gl u +le sh +cran k +su sie +m clau +so tu +crow ley +rat ri +use d +bre ton +alfre do +ye o +travel pics +ti pp +elli son +sax ophone +me red +heu ghan +ta ine +f es +vi ro +suppo sedly +i as +dige stive +y le +li zzy +wildlife photography +bri anna +west field +ra ined +am her +ðŁĺĦ ðŁĺĦ +distribu te +bott om +pre serving +oil and +craf ty +de scen +col ling +shakespeare sunday +r wc +ang led +ci an +t ations +mon tage +me yers +france sca +ðŁĮ · +wi ggins +san ford +volunte er +car ra +bar k +vari ed +pl in +am u +kap il +rock ers +qu ind +br ane +in mate +ent al +impro vis +michi gan +re tweeting +progre ssing +mercedes benz +smo ker +physi ology +dor ado +watt pad +h wa +sr bachchan +w ga +vol atility +hi re +ac ap +wn ba +hein z +stit ches +kidnapp ing +bur ys +lim b +f itters +thumb nail +ton e +mir and +desi rable +ad dison +tar an +tamil nadu +spec tator +soci ology +amit shah +remo tely +âĻ ¦ +ham id +r ds +g lee +smooth ly +sch ro +er c +lali ga +he als +us f +ni shi +d hu +un il +h le +tro mb +bhu tan +pilip inas +se ung +whit man +te y +min ce +snow boarding +re au +k ker +av o +zach ary +ran veer +ti k +gover n +qu al +beck y +anthropo logy +att en +grocer ies +de bit +war p +sil icon +hawa ii +ðŁĴ ħ +pomegran ate +pe er +orang es +people schoice +end ure +ðŁĴĽ ðŁĴĽ +ãĤ¹ ãĥ +ac ial +a haha +stu k +imper ial +bl ond +pow der +kno ts +vin ce +wood lands +den a +watch in +mat cha +ma hat +galax ies +middles brough +k ö +stre e +resc ues +wal do +lero y +desp ic +real ities +tm nt +ha q +un o +pe c +bolly wood +blin ds +design thinking +he ms +and hra +ab sen +fan s +ste ch +shire hour +bla ine +shak ti +pu rely +ðŁı ı +tra fal +ke ynes +gr ate +to bias +spon taneous +satur ated +caval ry +pri sc +ðŁĺ ij +wh t +pas si +~~ ~ +vir at +patt inson +la o +weir do +sym pathy +ju da +occa sionally +cred ited +stat u +es co +hil ly +esc ape +dischar ge +se er +may nard +sud bury +z lat +or al +we er +encoun tered +sm elling +over sight +ê ¸ +that cher +mack ay +you can +fre ep +freed oms +prophe cy +ho e +ishq ba +dra ke +qu its +pel led +tur k +o vi +wesle yan +new music +leg g +ch eng +h illi +ay y +pan ties +ad versity +ad jac +vaccin ation +ju ke +ga c +exce ed +time sof +sta ining +ep cot +v ital +up ward +bethe sda +apar k +ma hi +camp fire +enchan ting +rha pso +h z +na ver +fa x +vali dation +ac ad +ny r +as ym +coordin ated +depar ted +all ery +var ies +spr ite +chap lin +ss occer +s wat +bre t +relu ct +tunes app +super star +reminis cing +o co +home grown +dough nut +un canny +la pd +thyro id +! âĿ¤ï¸ı +botan ic +bre s +sp ade +i ste +echo es +du lil +bur sting +qui ero +ðŁij İ +loy ola +amuse ment +ha ils +sleep y +burgl ary +âľ ı +ro gue +cot land +mo ors +low er +wic ked +ðŁĶ Ĭ +compet iti +argent ine +yvon ne +karti keyan +ili ary +gat sby +precin ct +six ty +na ji +cam s +practiti oner +ðŁĺ³ ðŁĺ³ +pu ne +neg li +juli en +inv aded +cali br +cla m +duba i +mu k +lan tic +produc t +fe dex +ï¸ı : +eu ra +dari us +s ling +virtual reality +home stead +ðŁı³ï¸ıâĢį ðŁĮĪ +pac ed +in ha +pul mon +la zy +premi ering +ma stered +in he +con gregation +ba jo +sport ing +new jersey +hor ny +lma oo +leng thy +du t +yo gh +swe aring +philosoph ical +pap ua +in ski +know les +dy ke +âĢ ² +to ken +mc guire +ri ot +probab ility +mc con +gro s +su mat +c ite +da a +on da +mad dow +che w +board games +spar ked +re claimed +ad hd +ny se +imwith her +equ inox +boo ths +balsam ic +ha zy +dor chester +ag os +se aw +moder ator +seri ea +ander sen +pilgri m +âŃIJ âŃIJ +itch en +hal li +x ton +nathan iel +mun ition +celesti al +ga f +zo om +mark le +pen thouse +cal e +s fa +bar king +tu cket +em ery +cal orie +li que +ad ar +mc nam +tor tilla +wood pecker +mo town +bad ger +ayr shire +scram ble +dd ay +cra ziest +per rie +cho co +cast e +i ot +wre cked +selec ting +uss r +gra ft +pun t +lab ou +ir st +ba ek +Û Į +su ki +que u +ach at +te ster +aug mented +wc vb +sin ks +ðŁĵ » +ra ke +inter ne +be cause +belle vue +une arth +light en +ðŁĺ £ +turn around +labe led +unemp loyed +twitter kurds +le ia +h ye +great er +ðŁIJ İ +tim ed +i red +e tt +limit ations +cab e +s out +bee ch +anni hil +re trac +yo ona +ang er +den nis +supp lying +di z +" ( +sc ur +gun man +su ho +sauvi gnon +ภ¥ +wi ley +land on +choreo graphy +pre historic +ðŁı ĥ +var gas +assess ments +pinn acle +di i +chamber lain +ì Ī +v p +present ers +deut sche +sun shine +sal utes +r one +bu siest +- .- +motor ists +hemi sphere +al wx +ps p +ow a +den ying +cho c +gu tier +han uk +mus kete +jait ley +se wage +t ame +thin kers +shi m +se quo +pap ar +middle east +k wa +ke g +patag onia +no y +bar ça +take off +he a +à ¬ +n sc +g dc +ðŁij Ī +mou stache +mel ania +thr a +â¬Ĩ ï¸ı +pier ced +ze us +fon ts +ber a +it iner +q atar +contr ary +ire land +i fy +ou los +commun al +fin s +un paid +pa a +ðŁijĩ ðŁı» +ri os +ou p +f iller +cafe teria +à¸ Ń +kas i +cali ber +z ulu +v sco +ts ford +dragon fly +smo kin +pi st +psycho logist +diplom at +we bs +buc cane +à® ¾ +motiv ational +du ne +ba e +c fs +with out +er on +i ac +ate e +pen sion +fra zier +en sis +sk is +par ting +ger y +territ ories +nach os +eni ght +ever lasting +msd honi +tel e +sp un +po di +sab ah +environ mentally +ce ase +beau mont +mar ta +kel vin +ho ff +sun il +n da +co b +sh ale +ree dus +un boxing +u bio +re opened +n all +capsu les +mar r +himalay as +swee ter +ja z +f mr +twee ter +dha ka +na u +de mi +d fs +ta urus +fad ing +it utes +ci p +over flow +jef frey +don ny +car tunesapp +ðŁį ij +prefe cture +danc ed +c pt +ple asing +ital k +earth quakes +ul ation +hi o +ãĢ ĭ +ant an +nutri ent +de ere +selec ts +enrich ment +r iti +tram pol +bl amed +j ia +contribu tors +chesa peake +pi geons +tribun al +mad uro +w su +ilo ve +effici ently +dar cy +war ms +ar ra +ec u +ho wer +strugg led +rajini kanth +ðŁĺ¢ ðŁĺ¢ +hou sing +str at +eli x +disp ro +raf fic +thi erry +na sty +c fb +staf fing +al ma +back ers +hen son +sky walker +reale state +roo s +ness y +chan ce +cair ns +c ci +pe dal +ly ft +cross word +wait er +only in +kru ger +k ir +alej andro +car tier +car rera +re paired +ou at +un clear +un breakable +today in +qu eries +jo dy +gen ital +win ner +to l +kelown a +fascin ated +ãĥ ¬ +sris ri +squ ared +spr ung +negoti ate +priv ately +av en +>> >>> +g ical +gav in +chester field +zu mba +or r +nat alia +impeach ment +mn l +car at +criti que +credi ble +trac y +tan i +musi k +jig saw +gam bia +tol kien +fe u +as per +sav ory +fo xx +f itt +mar lon +l rt +v ell +p br +imprison ed +i om +chu l +wind shield +kay e +ba a +chor d +s art +al gon +minister ial +nat geo +la zio +nor ms +ðŁijį ðŁijį +lic king +fut bol +un sung +dalla scowboys +sh red +distur b +dev ine +be ards +ch f +b day +ro sso +ig or +ay i +si ren +k air +sti les +ro f +mag nets +un cover +mou se +bang ing +si ghted +spe ople +impac t +row land +kir a +environ ment +love the +p sis +mish ra +gl endale +ca jun +o che +de ception +sex ist +stra ws +s ga +buff er +apost le +sp l +pop up +ðŁļ Ĺ +r g +up er +ball in +i dy +occa sional +national park +ðŁı Ĭ +u an +innov ation +ภ« +te aparty +re tte +counter fe +b ha +rec s +ig en +ðŁĮ IJ +humming bird +cu r +ha ven +la zar +pue blo +: : +zi onist +op ath +inver ness +promo ter +carto on +cabine ts +mahog any +surve ying +r ational +feel ing +testi fy +so w +oc on +ภ¢ +ne el +mar is +sol itary +che mo +rad cliffe +sim ons +ros ary +new er +jo die +re tali +pra wn +pad dy +hen ge +k ala +im plant +at y +bren twood +par adox +ene z +re designed +p our +wy d +al de +௠ģ +sol d +biomed ical +๠Ĥ +tt tt +mat teo +ys er +new ton +de bun +ner dy +loo l +wo on +elisa beth +ec c +wh i +ach o +salv age +sal aries +qu ity +navig ating +oph thal +con soles +re built +o pec +ast ers +sho red +set list +kathr yn +rhy mes +re visiting +ash ish +li ft +re post +sole il +âı ± +weal th +sa at +we c +king james +flipk art +field work +se gu +mo dal +bu b +are rs +ðŁį Ĵ +clo oney +pad dington +necess ity +guth rie +pen te +li mo +jo sie +ar tin +en c +l hs +betra yal +info graphics +i er +mo a +hear ings +bon jour +sym bolic +ag ro +wed ges +krist ina +wild flower +athle tic +photograph y +pe sh +ca hill +chi lean +gou l +fi oren +ðŁij ¶ +z il +sk im +bad oo +deli a +tre ble +n cc +ðŁĩ¦ ðŁĩ +a house +bul lock +sol itude +ا٠Ĩ +can cers +futureof work +hu tch +water shed +war mongers +sp illed +colom bo +mo th +associ ations +weigh ed +global goals +not just +christ i +tor g +swe ating +man eu +clu sters +âĢ¼ï¸ı âĢ¼ï¸ı +ta ped +ul y +tru sting +yu suf +te in +ra b +, ,,, +sin ai +audi ble +explic it +cro wns +sch iz +at least +ðŁĹ £ +de bra +je suit +ene gger +z hen +one sie +i it +ss f +gur gaon +chak ra +bear cats +k ran +k awa +reque sting +han over +g end +sor os +mer cy +lovel y +do omed +tim my +ku z +ul l +ab ram +sa ison +ãĥ « +clean ers +re mo +circu its +bar red +o th +mo ist +madele ine +gall o +u j +per mits +hea viest +car ols +az te +gior gio +flo ats +decl aring +us rc +min at +craf ts +pri ma +conven i +nickelo deon +danc ing +ceremon ial +blo gg +tw p +anglic an +she k +k nick +( (( +hubb ard +harve y +hit man +fen g +we some +for za +s word +op us +bro m +gi bility +z al +m unch +dance hall +gre edy +hd mi +re birth +ðŁĺĭ ðŁĺĭ +s world +figur ine +com post +k f +engra ving +gior no +st ana +k man +ham ster +compos ers +aj e +func tionality +pol k +is ons +air planes +te se +hor rors +musc at +gi ven +sp ence +ðŁĩ¸ ðŁĩ +eli ot +ach illes +fre ck +crypto currencies +sou ther +hal o +bor neo +polit ic +hahahaha h +up state +si ena +obsc ure +hau sen +lloy d +happy friday +motor bike +bon a +americ as +hol s +- ( +spor ty +un aware +reven ues +christop her +bank sy +av an +ev apor +com press +eyel iner +to dos +buff y +renewable energy +ly rical +ar chan +rapi st +fair trade +lma ooo +beat z +pro active +la pse +ir ical +revers al +po de +mcin tyre +mac au +ãĥ ķãĤ +nash grier +f sa +g all +çĶ Ł +perpe tr +il ya +configur ation +% ; +str ange +rac i +ภĩ +pic kups +kov sky +mam mal +w ps +g able +compar ative +z h +save our +da vey +on etsy +mu ssels +mis er +cri stina +electr on +cra ve +lo ren +precipit ation +m z +ðŁį « +vin cen +snow board +no ida +ah n +marin ated +g tr +town hall +min is +bethe l +adv an +su ra +shi el +fur ry +ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ +lyn d +so il +sc ence +sen eca +shar jah +dick ens +credenti als +av ar +per k +requ iring +pre fer +j ian +de ca +r ach +ing for +del e +be ep +ðŁĴ » +cis ely +hu ddle +green sboro +haw king +ho ax +hang ar +ç ľ +mis o +lo vin +gre ta +ab ad +logi e +at an +snow flake +mahe sh +fear the +al kal +bobb lehead +ba hn +ju dged +fu tu +feli x +ðŁį ĵ +pi ke +der iv +notic es +au er +dis super +or da +wi pes +am ino +stri kers +foo tb +dram as +pun ching +score less +heming way +bi h +bal lad +chat ter +am mo +kle in +fabric ation +kari m +z end +hi sto +vol ta +rock y +marke ter +xtre me +sequ encing +paradig m +cle ats +boom ing +âģł âģł +block ade +promp ts +yogh urt +pur pose +nu r +regu late +nois y +ing rid +bird watching +bar tender +Ù ĥ +wor dof +cha otic +shor ty +el dest +z app +onceupon atime +fl yo +rit os +mike quind +ðŁIJ ´ +regi stering +. ] +ad ol +gg gg +pur ge +kid lit +ar bor +val ves +synago gue +o th +unanim ous +veri fication +dar rell +ãģ Ħ +vander bilt +tape stry +pro sper +did dy +dra fting +de cep +marqu is +st int +michael jackson +pee led +men us +bb b +sc are +ema il +wri gley +it is +f ell +some thin +bar ra +ed gar +di pping +pu ddle +sla de +lear ner +jal en +ðŁ§ IJ +the daily +mikequind azzi +ju x +iq bal +mckin ney +ra iser +ef an +dr one +cat o +pic ket +cro we +l att +uk o +giuse ppe +hin i +synthe si +ponti fex +song writing +to d +swit ches +din ners +h q +gabri elle +pensac ola +cir cle +expo ses +ev s +riyad h +pro men +o ck +sa j +cit ation +brew co +jo si +ep aper +dri f +point less +tang led +cri pp +line ups +fairi es +daz e +mour n +bla dder +sal z +bur undi +book mark +the people +sub sequ +princi pal +sk er +court ney +a oki +rac ers +ad m +mom a +critical role +hou n +shed ding +sa ka +ace ous +mck ay +hus bands + ½ +me da +accu sations +ro sel +nc is +witne ssing +or ama +go ds +hil ton +el man +ÃŃ n +meg ap +cra ven +announ cer +crit eri +sheffiel dissuper +milit ant +consu l +hoo ded +aby ss +b x +ma dam +lo cu +mary am +manic ure +grat is +ac tresses +ros ario +this dayin +king ly +gn ome +cel ine +r ous +he el +lil ac +vish al +ab h +thor ns +s ls +ne al +construc ting +be ren +s lang +ma ins +far ra +sar ko +pai ge +gu iller +l ala +ice berg +nou n +plann ers +u mmm +ou ses +ill ary +ma an +box ing +zi pper +srin agar +migu el +o str +mp o +responsi bly +lan terns +appli ance +x b +gren ade +neglec t +dy sle +ham mock +ne ctar +wit cher +r gv +di ence +ser bian +seed ed +cru z +bi sh +sp he +e q +sky rim +alge bra +phil ately +bungal ow +ge off +y ves +demand ed +consider ations +the vamp +pawan kalyan +co ded +grit ty +erup tion +se infeld +uni denti +ëĭ Ī +wor m +ac us +se ung +dun g +ro land +su d +di visions +ab lanc +shor test +j f +p oun +plant based +be to +tough er +mc o +don et +mark us +v fl +ðŁı ł +open ing +co ward +caber net +o xi +burle sque +sand ra +su mo +consi st +tho t +cay man +motor ola +gutier rez +d slr +y w +no bel +nov ice +moms demand +grun ge +sp or +d cc +pre sses +sli st +allot ment +voc ational +ft c +pu ja +lo ven +utt arak +tan dem +sh ep +come dians +anat om +cant wait +healthye ating +west side +mar gins +chi ang +asbe stos +stupi dity +proble matic +fit bit +: $ +ceil ings +shu a +protec tions +bio tic +beng ali +re sts +bien nale +tim o +cul min +e minent +affe ction +unbeliev ably +individu ally +canvas sing +wh itt +nov asco +chin son +h pe +go w +gloucester shire +pa o +thresh old +chev ron +s ine +we ther +pp ie +aqu ino +antwer p +âĸ ¬ +po on +inst af +equ ine +cinemato graphy +nbaf inals +vali ant +kil kenny +te rence +syste mic +sr l +p ound +made ira +pl ough +tre cht +mat ed +mp d +ransom ware +ph in +li qui +bb ce +boom er +i standwith +con ju +r te +nar a +foo lish +da shing +vier nes +br ite +da u +juni per +ai da +you now +ra zer +de i +repe ating +comfor ting +adjac ent +e to +ca sted +chat ur +mu er +syn th +san itary +mac le +independ ent +law ful +e erie +h or +ðŁĴ Ń +am rit +vel o +station ery +mu f +may may +contempl ating +elabor ate +gre gor +dri es +ac col +ภļ +schwarz enegger +ill nesses +day break +follow back +collu sion +electr onic +jo vi +hiro shima +ta w +hom ec +mic ah +qu itting +fro sting +ben fica +hel i +s ical +pic cad +corpor ate +ment orship +you are +sing er +shi va +ru ne +ing er +ri um +play able +doo p +wil low +ter re +ni p +at d +war bler +profession ally +er ase +proce ed +pedestri ans +mis chief +ben ding +alas kan +c kett +mo p +dd les +shut ter +ge ared +atene o +ma deline +g ations +o sha +der ick +sw ild +an gry +pat ents +hun k +decre ased +fr y +ðŁĴĸðŁĴĸ ðŁĴĸ +sal on +quant ities +d ario +ni gel +ku ma +jen n +happ ye +xx x +rex perience +pro s +au sch +rele ssly +ham burger +fuku shima +er ne +stat ec +ren d +may field +j one +lef ty +bern stein +sm il +gener ates +fore station +band its +ta yo +r ca +ac ci +rodri go +kn app +elo vers +vege tation +u ral +le ft +ħ ï¸ı +worl dre +sur i +embar k +w son +ba you +mu ller +mo vers +ðŁķ º +presby ter +l f +cre e +bat b +sal am +demonstr ations +an ec +n pc +it ics +to graphy +re inst +thur st +tal e +off ences +smart city +bro tha +ofthe year +in valuable +ear n +ðŁijı ðŁı½ +kre mlin +gra dy +town fc +guern sey +ma ha +contag ious +dre x +be en +( £ +nati vity +k tm +somer halder +comp ounds +íķ ĺ +" âĢ¦ +af g +ott news +h ound +fire fly +cil an +donet sk +volunte ered +ak ira +è ª +sing ul +st h +dro wned +mand o +he ir +ðŁİīðŁİ Ī +tax is +y uki +vel d +k ans +el k +ran ts +hash tag +t eng +ro g +a at +gru b +e ber +in india +colo ssus +sig ni +so ever +mile stones +der o +differen tial +phu ket +master mind +an gh +mel ani +bro ker +actor vijay +stun ned +continu ity +af fl +vo cal +perenni al +fianc é +in complete +hun ts +re issue +domin ates +tur meric +ro am +ri on +bag ged +nas sau +fu t +x ox +national trust +jo ye +san o +hearth stone +dis respect +le es +h se +siber ian +offe e +re stock +wolf gang +re gan +plan o +un wind +re par +mil le +] , +skul l +fat ally +concep tual +ðŁĮ ² +f é +ber to +b ms +u a +mag na +notre dame +le te +la undering +heartw arming +buffe tt +go at +pe abo +wind mill +v ac +continu ally +az alea +mem brane +can cels +make yourown +athe red +p to +tor pe +ðŁĺ ł +ðŁĴ § +sc ares +le aking +z et +pix els +ac i +kh il +marath i +ðŁĻı ðŁı½ +u la +tam u +chandi garh +z agre +aa b +pronoun ced +aubre y +sand er +pun ta +har low +ic elan +celebr atory +so t +unci ation +stru ly +mc dowell +deepi ka +remin ders +my stical +ct c +chat ted +s ica +bar gains +ch hat +ru bin +m net +oiland gas +pel ican +o at +mor ality +k our +i h +nu clear +gc u +ric her +vene zia +m ma +le ith +ac company +rich mond +sports net +ba ahu +smu ggling +mm i +ðŁĩ®ðŁĩ ª +twi sts +sahi b +.... . +amb itions +il lo +histor ical +fo rec +show biz +pon ies +chas ers +remo del +will ing +prince sses +am ple +cushi ons +ac les +lot r +da ch +an the +in corporate +new bury +ki ri +fried rich +ab v +ball ers +alber t +ðŁij Ń +let i +nan op +ci de +anal o +n sf +)) )) +griffi ths +valen ci +ro ano +fun run +babys itting +ca day +ent re +u ck +slu g +tic al +the sims +ro ar +car ney +g am +sto we +fi d +bun ny +sham rock +pe cu +mol ina +go cougs +con tributes +transform ation +mo y +v aj +sever y +antioxid ants +thir teen +sight seeing +l j +reversi ble +odd ly +hoo kah +nou vel +hal al +fe i +stab les +mul t +ho pped +bra ids +inter change +ghana ian +ww ww +eth no +con junction +ago v +ye ti +earth and +ts p +con serve +heir loom +metaph or +woo f +tor io +self less +n wa +em ilia +yl ene +y xe +gi ar +moder ating +pro bz +b fi +ne er +du mmy +hanuk kah +we bber +k v +eye brow +dag ger +su mp +ra ges +ork ney +tb o +hal sey +assign ments +tr onic +scri b +co on +an war +# âĢİ +jal ape +flori da +qu aid +haw keyes +âĻ¡ âĻ¡ +street car +ro g +dat lantic +gran ola +un changed +expect ation +Ù ĩ +mar lin +gu mmy +ðŁĻı ðŁı¾ +awareness month +oil painting +mu th +per ch +jun to +villa gers +mor g +che ated +web comic +the future +d ps +la kings +men tioning +vo or +ident ities +accor d +mc gu +l pga +rum our +massi vely +m pls +heal y +d ate +sp oli +re visited +on t +al and +scru tiny +lakel and +bl ending +< / +an kara +jami edor +metab olic +f ences +ann y +å ħ +semic on +oo tt +space ship +wack y +le ta +ap ac +she e +in herit +do res +ðŁĩ¨ðŁĩ ¦ +gent e +tw ick +ri ms +gal ve +de ville +king fisher +scorpi o +ow l +al ar +vari an +ðŁĹ ĵ +vene tian +star dust +then orth +q ing +har rington +consul ate +spectac le +ho bbs +tur ks +gre er +mat ing +ðŁİ Ģ +ðŁĮ Ģ +direc ts +í ĭ +pompe o +vo iced +la os +tz u +pro me +pri sm +mer c +fortun ately +bc fc +mcdon nell +not sorry +smi led +t ba +for war +mid term +dar by +we instein +up grading +wol ff +bron co +cab ello +ðŁ¥ ĩ +fi able +shar pe +bat tered +sat o +myth ical +instap ic +pre pped +eni um +e spo +di aper +explan ations +who pping +ragn ar +pe el +antibio tic +l acks +harri son +li sm +au l +qu ail +martin a +sent encing +sc ams +di di +tr onics +ãħł ãħł +go ff +za in +param ore +cha ined +clin ton +li ff +cott ages +em on +reve rend +consu mer +ce an +t any +lum pur +e bay +sto ol +ðŁĺ» ðŁĺ» +ta pro +h ath +modern art +just ine +prover b +app y +tra x +mani fest +am bu +nai k +pe pp +r sd +mer chants +kitch ener +shi fted +li zz +âĺħâĺħ âĺħâĺħ +âĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶ +uto pia +tom o +ou ted +com ers +chiroprac tic +book club +cin dy +pro hibition +se uss +ë¯ ¼ +thin kin +rr rr +go fund +t ack +om b +catastro phic +ling u +guild ford +bo td +ॠĭ +plan ter +^ ^ +win k +kath mandu +sto ppers +smooth ies +re efs +hin d +bell amy +Ħ ë +waste water +vo or +nat l +! ] +re el +y ap +scoo by +work space +corin thians +bl un +obli gation +g bbo +dy son +cra vings +ell ington +dap l +wre xham +earthand clouds +uk runchat +positi oned +kal b +four square +jo ck +im pending +even ing +ath y +pro claimed +c ites +ann apolis +san i +mar th +ir l +accom mo +ka a +fin a +y aa +di sper +ec ar +bha k +will y +ðŁĺĢ ðŁĺĢ +mcder mott +mo j +gener ational +u said +train ing +lon ely +lo res +impe cc +âĢ IJ +beav ers +ma ki +he b +aap l +å ı +wolver hampton +leader board +me u +c fa +easter n +hu r +civil war +ou rage +hor ned +le high +awar ds +evi dent +gi gab +r ous +ma del +ro byn +ur gently +k ors +en as +heis man +bam bam +fab ian +f om +evalu ating +assemb ly +out sourcing +hun tsville +ðŁĶ ª +justi fied +cashi er +sp aper +buc keye +analy tical +illumin ati +au tho +o j +sha de +geel ong +wh ey +he aton +terri bly +ele k +un charted +sd live +moto cross +her mes +dar shan +dar lington +cash mere +gri pping +cilan tro +pun ish +... : +ðŁĴ Ħ +inst ance +der i +lo bal +muk her +sp ar +thin ker +fre mont +com piled +color ado +vig ne +sm d +whe ad +villa ge +le ek +formula e +ta res +persist ence +?? ???? +ped ago +he z +alzheim ers +vul ture +off ence +is great +suff ra +kick in +h mmmm +broad way +ï¸ı @ +art i +alli son +endor ses +ry u +lolli pop +soy bean +kend all +cer a +inv ade +( ðŁĵ·: +conver ter +car pets +ho bo +fr it +pe ac +es qu +ern an +ou f +an il +di ffer +ch ing +bre cht +sp g +daven port +stra va +sever n +n gos +stor ians +fe te +parame dic +j hb +al amo +sne aking +gold coast +roof s +isi l +depic ted +projec tions +nu mb +o ss +ep i +glu cose +zid ane +infin iti +íĺ Ħ +ran som +ton ics +fal k +g ler +ou tw +re ss +week ly +the on +n ole +ðŁĩªðŁĩ º +vol ley +sum mar +neg ativity +sam son +ye w +aus votes +ju l +ju dy +f art +pra yed +pal ate +multicul tural +double header +cycl ones +pier re +ãģ ¨ +âĺ łï¸ı +rt w +conver ting +wir ral +l ari +ir relevant +austin mahone +an che +ya an +sd f +$ . +explo ding +ulti mate +prof ici +gofund me +cell ence +ep stein +bul lied +sep tic +à® ¤ +lu mber +cu ff +vsco cam +pl or +ภ¥ +se ok +ro to +venezu elan +sor ta +spir ited +daniel padilla +team sisd +radio active +icelan dic +ðŁĴ ¤ +ver e +accommo date +shi pp +ot ter +ol ina +e go +su la +san antonio +de as +simil arities +âļ ¾ +y om +bro ward +å ° +can cun +veri fy +on te +candle light +ìł ķ +inf ants +az am +ðŁĺ ° +le ven +un stable +bloom ington +x ford +con tour +y p +innov ator +histor ies +po y +lolo lol +ex pires +cat alo +bill boards +an ab +el ic +novasco tia +fa ire +ìĿ ´ +rock well +gr ille +az tec +joh or +ur struly +fi ren +dun lop +id le +port man +jo es +tx hsfb +hol m +cham ele +under world +lo ss +ti em +therap ists +past ure +pa ste +ing now +vul can +ra gon +lar kin +o shi +ho co +child hood +umb rel +success or +kath y +iz en +° ï¸ı +share holders +ol ga +ai b +he ap +fl aming +ro u +air tel +rat t +z ane +vo w +thor ough +sn ag +par th +un conscious +ve y +new release +gh ee +croati an +facilit ating +swan son +astor ia +to logy +master y +ðŁ¤ ij +bil bao +trou pe +the ori +chey enne +ro tt +shore line +gra sso +master chef ++ ) +vi x +ellen show +as g +an ak +ku ya +safar ilive +debu ting +blu m +list ener +v ins +book shelf +smart cities +makeyourown lane +; ; +ðŁIJ ¯ +ri zz +on ward +bull dog +bear ish +vir uses +fri gh +lin den +we iser +sn t +gon a +dre sden +fl anders +cu k +wheel ing +ba u +atu esday +surf ers +swi ft +mc call +arbitr ation +aw d +mon c +b ine +at x +re fr +mi ro +po sey +n are +rit ter +âģ ¦ +play book +blow out +sports manship +s oooooo +malay alam +gri ms +bur bank +infin ity +sar gent +oit nb +joseph ine +ski pping +par kin +excur sion +semin ars +jo har +par tridge +post game +ll ll +blan che +temp ting +m na +lu ka +is ers +to ffee +bar ron +he mmings +sa e +go hawks +cu pid +li mbs +con se +un common +z ada +head shot +so ils +pione er +mam ma +sem itic +pan dey +jamiedor nan +spl its +vel a +son i +ra ff +t mobile +âŀ ĸ +pra wns +lit er +enjo yment +egg plant +tu b +cultur al +us ic +suspici on +sy cam +summ ed +ma du +ho ck +up wards +eye ing +ri ve +assas sins +âĤ ¬ +out fy +chi ves +t ner +la is +por ridge +sad dest +w cc +vick i +sna ils +biz italk +mill an +ðŁĮ į +sam oa +j ing +mi key +gu j +chel ms +eli gibility +arma da +thro p +surger ies +ãĤ ¿ +mo hawk +ex its +me m +is lington +c me +land fill +kait lyn +ðŁİ ¼ +combin ations +tomorrow land +ver b +cor a +pre cisely +na om +ðŁĨ ķ +shr ink +sof tly +merce de +mand el +poo dle +ball erina +sop h +jux ta +y at +ary an +hesit ate +lo wered +gu lar +dungeon sand +ron an +my ri +sp f +men opau +gra sp +pa thi +fe asi +fla w +shi story +ste ward +gg le +fay re +cli que +credi bility +yo g +sec tion +mu sko +se ville +no tt +cal m +mate o +indic ted +fi ba +by l +lin o +u kin +!! # +enig ma +siri us +bu sc +ðŁį Ĭ +mac kerel +psal ms +a at +tomorrow spaper +ðŁĺ ĸ +p fc +........ ... +shre k +mul let +o sh +danger ously +immen sely +am ur +ðŁį Ĥ +pro por +sy a +london marathon +abo ve +obli gatory +pro v +ra cha +alex is +pri mary +sh h +ether net +d stv +cou gar +un lucky +ni l +steak house +mel a +fc bayern +cause way +ca therine +fluore scent +nx t +to kyo +au sp +releg ation +qui zz +shored itch +proud tobe +promo s +inter acting +home brew +da esh +w pg +stead ily +provin ces +bal lots +i ah +al to +< << +you u +ri ley +prefe rence +tra verse +incen se +am munition +ho dges +# @ +hail state +tart an +witch craft +vent ilation +liber tarian +! âĢ¦ +ow es +% ! +ong chang +bru shing +le ic +fi ber +under attack +down load +ex pir +hy o +pompe y +mc bride +y ag +stre e +com bat +ten ding +ai ra +gug gen +ab ra +in na +fli ps +aw al +m ach +dol lar +inspir ations +z um +o du +it ty +video game +aqu aman +har u +bel fast +je b +but ch +us gs +calcu lus +go yal +mor gen +x finity +stand up +contrac ep +sab re +na be +in secure +gener ously +epit ome +l w +t ca +narr atives +don nell +pand as +ber gh +tu t +ker al +fel icity +br ampton +quinte t +nom ore +ðŁĶ ij +lo i +alham dulil +ðŁĶ¥ ðŁĶĹ +ston er +shaw l +clin ical +bren dan +gon e +fla wed +tri ppy +j g +al location +po aching +ve vo +mo cks +lef tist +bon uses +condem ned +abil ity +st ating +microbi ome +bio logist +for you +wahl berg +ss or +ift ar +w ul +ÑĦ оÑĤ +pom er +me me +ver te +tre ll +tra it +in let +hormon es +deliber ately +vill ar +battle ship +p bl +tw enti +ho kies +dal ail +say a +may fair +han s +die ts +⾨ ⾨ +od in +hot spur +pap i +k ana +k amp +fin na +flo tus +ti ans +unic orns +tribe ca +chang ers +fore ground +out a +inv aders +gett ys +tomorrowspaper stoday +mac millan +hand written +w fp +u de +state of +base d +âĺģ ï¸ı +cas m +psy ched +histor ians +fol d +d da +ag grav +p ans +green way +au sv +ðŁĺ ¶ +shradd ha +inde x +be sti +zim mer +t ness +eye shadow +ot te +go ts +distribu ting +pro min +yo l +ace a +tram rahim +hoo per +supre me +jam min +intu itive +quali fications +sli m +sid di +jay ne +tri pping +g tx +pun s +e manuel +om g +mid summer +in to +succul ent +ri en +new mexico +o or +hoo king +in f +ðŁ¤ Ŀ +flir ting +na hi +g friend +t ps +hel ix +z s +on ie +ct f +kri s +irresi stible +fla p +ðŁijıðŁı» ðŁijıðŁı» +us wnt +ru d +ram ps +pin oy +ot w +lol z +low ering +favor ite +t mc +phra ses +her mi +aver aging +em br +ben o +estu ary +sle eve +ribb ons +ta sh +ภ¹ +x f +aw gs +sun ited +brew eries +anir ud +pun ches +ol die +ip ads +wi fey +land lords +d ji +gun ner +íķ ´ +tex an +ex op +cas sandra +s off +ðŁļ « +igh ton +bak ers +awareness week +v all +ear p +bts bbmas +apologi zes +âļĵ ï¸ı +was ps +states man +snat ch +watch dog +ra fi +after party +spi ke +j er +peri ph +r nc +mu ll +le en +shi es +li eu +urstruly mahesh +mer ton +de sai +shi f +ðŁĮ ± +pe dic +gos ling +arrang ing +ww g +gen y +you uu +netfli x +e ttes +k wi +bernar dino +am iga +Ø ¨ +kashmir i +t ings +emer itus +de cat +ab domin +dc i +pha ses +d jan +be am +op ry +i shed +the ellenshow +the st +habit ats +to ons +mclau ghlin +ri pper +micro biology +tal aga +clu eless +ss u +cro che +bro mance +longe vity +zagre b +prev ented +tra ve +spo ilt +darry l +migra ine +al cat +dd dd +vi v +ser pent +mat tel +jam a +con quest +î Ħ +sam sung +presbyter ian +ket ch +fire fox +mo tif +le c +cho pping +cher no +j ann +ðŁIJ ° +pro lon +wake up +conver gence +mersey side +heart broken +lo oming +hal lucin +mai ze +commun ism +mo h +twitter storians +serge y +res eller +favor able +ed gy +re iter +mal aga +live me +ka hn +pul sion +big g +kim kardashian +ati o +tyr anny +ru ption +q ant +pro ven +by z +pu shaw +kri stin +e er +tar dis +ri z +awak en +mi ko +un documented +path finder +indirec t +resemb les +h ler +conce aled +scand al +re im +d nb +cr itters +attend ant +apprentice ships +aa u +scre amed +l su +fa h +har bour +ed d +bat sman +li ss +mi sha +spani el +it f +advan cement +fa c +close up +cecil ia +medi c +narcis si +lav ish +gi ac +ma ys +le it +wine wednesday +pushaw ard +let to +curren ts +bug atti +out ine +w j +un do +ler osis +devo tional +ðŁij « +on na +fais al +sa una +himach al +am ii +à® ® +di zzy +screen writing +ph x +sp n +ick i +ag irl +fi shes +wb z +pi m +bo ar +ac id +! .. +rocke feller +n ga +dra stically +simpli fy +dru mming +autum nal +gur mee +lor de +jo ann +give up +b our +am ura +der land +sim pler +wat son +tri dent +concor dia +bel lum +bre k +dum plings +vi on +dungeonsand dragons +sp ri +ascen sion +wil datlantic +u st +rob ins +legi on +insi st +jar o +gue ss +so b +bigh it +pool side +negoti ating +mc gill +bil d +techn icians +miti gation +ajay devgn +b to +ant en +cosmo politan +ðŁĺĬðŁĺĬ ðŁĺĬðŁĺĬ +patri oti +temp er +promen ade +nav ajo +nam m +wrink les +dc fc +le ach +bru nette +r f +cout inho +al ti +tradition ally +op tome +na z +accord ingly +rec ard +de ets +sw ell +po sure +whit ening +strang er +illi on +here ford +u wu +ro bber +cotsw olds +cl en +gor ge +nam aste +re lish +gri ff +adren aline +bla sio +val e +ê ² +toler ate +rail minindia +jen sen +ho ven +el lu +ob sole +eisen hower +unidenti fied +than niversary +body guard +Ø ¯ +i dge +sch al +stock port +sn i +re taining +po po +pix ie +oli thic +ki er +ha jj +sa z +cor bin +!!!! !!!!!! +v it +me gat +de h +circu it +af fleck +theore tical +hope less +u ab +slu mp +b ice +jam med +let stalk +can i +side ways +labyrin th +re fs +ha hn +jare d +ðŁį ¹ +jam bo +ph yl +enhan cement +c tr +ful lest +se ye +do ba +cho ic +yo s +cb j +andr é +re watch +pri ma +doctr ine +for gets +u hm +ar ound +u le +art lovers +shi raz +har th +ex tor +Å ¡ +unexpec tedly +eli us +y x +em my +se ac +ðŁijĩðŁijĩ ðŁijĩ +correc ted +com bu +wom anc +cou gh +what son +publi shes +divers ity +back bone +lock down +mesmeri zing +nor te +ma b +desig ner +í ģ +ra gh +mole cules +get outside +the beatles +semicon duc +nach o +lun es +ham mers +sul tan +o on +fe ren +att ach +ar qu +uttarak hand +s ash +; - +tre ad +i ko +ar thur +scandin avian +r ation +ga el +charge able +fish y +v ma +hand bags +char a +ay ne +de fam +sett lers +qad ri +pal ais +in wx +apocaly ptic +poo ja +a es +at ories +proof ing +n lp +ts la +v ina +li do +dee phouse +informat ics +v v +pp ings +di ss +à ¯ +uhur u +st ony +betra yed +b aff +my ra +as pen +allow ance +tam ara +ci f +cor bett +ser ge +di go +ambi gu +pain ters +p cr +p ca +nom s +lo ft +ve e +opend ata +ðŁIJ ± +alex andre +identi fies +fantasy football +re production +brom ley +ware agle +mm er +p ss +cu es +ay at +hut chinson +sar ac +jack man +ira h +ap ink +col s +aussi es +ex ecs +day ton +ðŁĻ Ĩ +im v +har am +chuck le +authent icity +ar do +incub ator +ภª +photo shopped +embrac ed +fight for +gor man +zz zz +schol astic +cri sps +te apo +mid night +ga ine +col lier +s ate +de tte +å Ń +imag ine +i ff +tw ili +i fication +teat ro +nor ma +es ur +emergen cies +rise up +r inger +hass le +cait lyn +tranqu il +vers a +se b +over look +gin i +bo go +se re +may ne +henri k +contamin ated +rhapso dy +pro portion +wildatlantic way +âģ© . +organis ers +tran e +stand ard +sper m +laun cher +ric ci +her ts +paper work +showcas ed +mer yl +pen a +p imp +disa strous +^. ^ +phar a +x is +fron tal +sw irl +sp ills +swag ger +smart watch +sizz ling +savi our +cat ar +bb cr +refurbi shment +dr is +citro en +absor b +patrioti sm +il leg +chro mo +fresh ers +ru s +lim iting +ef ish +down ed +man dir +hazel nut +p all +mac on +disappear ing +quali fies +bo on +bar racks +am ine +gen dere +ðŁļ ĺ +j es +ãĥ Ń +qu ito +middle weight +sch au +quad ru +aci ones +limit less +ðŁijĮ ðŁı½ +ch man +ar av +regulat ors +it up +batter sea +mil ford +g z +tic king +gh ou +cru shes +tu tu +dread ful +fam ine +for change +dalail ama +ðŁĴ į +whit aker +hash mi +h us +vo d +bet te +aa ah +iso o +ðŁ¥ Ī +ha ar +la ine +b v +all day +spr out +indie games +free bie +gree ks +but ler +ill in +ha al +ware ness +si ma +public health +gam a +wa a +oun g +goo oo +okin awa +off enders +im pose +ho c +young ster +story teller +sc ap +figh ter ++ , +whit es +music monday +re za +go ducks +bri a +mi um +cas per +cru mbs +a ad +marti alarts +ch p +ri gged +tn g +harve sted +sa k +do jo +mill wall +b nw +oc d +histor yof +t mr +si rens +fan ci +caregi vers +vir a +son i +recur ring +acknowle dged +ðŁı Ł +oph ile +bu cky +stre ssing +roo k +di gger +vi val +san do +fle et +si ers +sel caday +refre shed +anti fa +a que +po lo +disappear ance +de mb +âĮļ ï¸ı +ren ted +ber ger +g mb +cu la +ss al +goo dy +u hh +marcel o +w anna +soft ware +shop small +turt le +tom as +fri sco +ðŁĺį ðŁĴķ +jim enez +c su +day z +an do +wyn ne +choreo grapher +cerv ical +trail blazers +ed g +zend aya +travel blog +el s +whole some +co g +lab out +ar ney +del le +su isse +ma si +ine se +om be +fi ddle +re claim +pa u +wat cher +sla in +ber ty +opti mum +el ites +min is +tur key +patro ls +ger ard +au reli +wild ly +wal tz +br gy +w ob +cre st ++ ++ +ve z +fro sted +davi do +the x +param edics +p into +han k +du pont +ur g +fo stering +micro poetry +spec tre +---- > +ne uro +fri da +music al +galve ston +e ffic +sc ape +pal azzo +th all +pro visional +p js +au re +ðŁĶ ľ +mam amoo +kit ties +cre e +wa k +lo ool +lu pus +cn blue +à º +ðŁİ ¬ +rac ed +tro se +om as +stri de +co ors +⤠µï¸ı +in comparable +cy ril +broad er +arec lipse +ðŁį Ķ +inter val +ti ru +co working +w aco +a ham +a bee +flouri sh +the times +ol ini +kick boxing +lu cer +at la +as un +casser ole +mi aw +lobb ying +jan ice +cir que +re flex +le ary +sanat omy +tem pest +se mb +mur dering +us av +ro bo +on et +p cc +nati ves +life of +sa ha +ruth less +rel ates +appeti zer +pye ongchang +nor d +er u +a thing +ug ly +pl ying +bran ce +organ ise +kend ra +dat o +chees es +par ma +burn out +a stra +pre toria +adjust ment +uk u +sl o +li ken +fav ors +cli ve +be ets +snow donia +go tv +sy n +open house +pan i +portra yed +sl ated +me cca +ren al +supportsmall streamers +staf fs +da o +bi ker +vik tor +tit us +admi red +ðŁĵ ± +hurric an +he ats +gl ory +photo genic +mer i +de por +burn ham +or angu +dj ing +impre ssionism +ign ition +ca i +w ynn +de pe +cove ted +colla gen +sau s +or nam +administr ators +ss on +nh politics +hahahaha hahahaha +aspir ations +r gb +swol len +so we +sc r +diver gent +hou ghton +han oi +d ory +ni ki +land ry +b cci +ðŁijĮ ðŁijĮ +is mail +tri pod +her d +bhat t +dress age +tab by +ingu ish +hur on +à³ į +à ł +to das +evangel ical +chor ds +st john +slo ppy +marty r +face book +ali ght +sen sei +kath niel +r ites +zi one +u o +revel ations +weight lifting +pan o +nc wx +ac ton +à® ķ +Ø ² +som a +à¸ Ĺ +respec ting +mar che +fore man +be tty +ki k +shi bu +po on +argy le +k swx +et z +mar bella +brac kets +stand by +fire side +defi ance +v ex +britanni a +in habit +appo int +piyu sh +le ash +sci ento +fla sk +sen na +> : +at roc +sand erson +id lib +dhan ush +ðŁĺ Ļ +en thr +hit ch +de dly +al ley +dor k +mon do +cudd ly +mis sin +ye sss +night ing +j pn +w ary +ump ire +ma z +ê ³ +bab s +ĭ ãģ +stan ford +posse ssed +exce eded +ðŁĶ ¶ +wall art +tra p +j il +hi bis +sp ying +scri be +khali l +trans lator +lu mb +di zed +ch c +super vision +shut ter +ja g +_ * +yester days +ms f +hi hi +gonz aga +gille spie +vive k +ec static +this morning +ch us +ed es +ston ed +be es +ðŁĩ¹ ðŁĩ +tur in +ho ver +at rics +ster n +sam heughan +auti sm +mi ya +eye witness +writ ings +travel tips +chut ney +px rtg +keny ans +my stic +k rit +/ $ +red head +world ly +am us +op la +le ve +gab bana +se en +o clock +gang a +keen an +sc ent +ol dies +go green +corner stone +comp ly +con cours +ðŁİ¶ ðŁİ¶ +ha an +con fis +aw son +cle op +î Ģ +su zu +sau té +al gar +subscri ber +este emed +ãĤ¤ ãĥ +worth while +mel rose +flo ck +bri ghtly +viol inist +p ere +sli pping +and co +si gh +ha van +cu lo +m sa +fibro sis +matil da +ra fting +aw ard +ë ª +mm mm +ge aux +ste iner +sin n +help ers +beet les +ai mee +tai wan +pistachi o +mac beth +m zan +descend ants +on sale +in r +il m +grou se +sa ig +mo w +bi gre +adjust ments +tu la +mathe w +transl ates +mu h +bol lah +ðŁĴĽ ðŁĴĻ +amo res +ab outs +bomb shell +bla ster +x avi +s ns +k roger +ga ther +erad ic +daf t +chem o +ben ches +ðŁĩ© ðŁĩ +ut v +our a +n ko +gator ade +biaf ra +ok state +im danielpadilla +dom ains +open ingday +kid do +do i +ric e +day care +mac millan +ba thurst +cheer leading +ðŁ¦ ģ +cash back +k won +hob bies +exem pl +ries ling +âļ ª +ag les +ny s +every thing +nav is +ad di +magne sium +faceli ft +ark ham +grand es +extre mist +don at +vit ality +pump kin +be tta +sl td +arti san +li by +pe aked +ah hhhh +mary am +assi m +un sc +ment e +al aya +low ers +ar as +gri ev +le ip +gr ati +cri ses +spr ints +exe cute +w to +ms d +mag ical +re viewer +spark les +juke box +ðŁĺĤ âĿ¤ï¸ı +pay back +licen ses +dun kin +bel t +lake wood +h ateful +bud gets +rev amped +ph erson +ky iv +went worth +ro sen +cru ise +gi ggle +def star +assassin scre +ym outh +win kle +w fc +band wagon +b kk +w iring +kear ney +south side +pe tit +! ðŁĺį +nor dic +mir za +mu gabe +v l +scon es +k tv +sand al +du c +m alls +ðŁĴŀ ðŁĴŀ +it c +al ay +im pair +un rest +flo ss +c é +ab ou +var ying +muse o +ser ver +di ya +hibis cus +ero y +mer ritt +fin dom +f pp +un usually +go tt +conting ent +ali aa +ball on +jo l +hi ked +zy me +ay r +ag n +ga z +perio dic +spar ty +practi sing +lin ton +tal is +cy pri +womanin biz +radio disney +ðŁĮ ¼ +jump ers +endo cr +ðŁļ¨ ðŁļ¨ +and on +shar apo +mi er +ma sonic +fac tories +vi en +bb ers +ìĽ IJ +hol d +ke bab +be ak +approach ed +ac milan +mun ro +ko sher +excell ency +negoti ation +walt disneyworld +cr ouch +te asing +suppre ssion +en ya +b ce +transformation tuesday +cal lie +vis was +p gat +ic ted +end ings +esc u +recru ited +it fc +collabor ations +g ino +snu ck +ausch witz +i fc +x ii +ke sha +ger vais +clo ak +x l +sa ad +prob ation +pre cau +mac in +anasta si +le k +e azy +daysof code +mariah carey +yo g +stit ched +boy friends +sh ar +ph ile +ag u +twin kle +phi shing +week ender +ic ton +gurmee tramrahim +al ton +l eness +all an +pen ultimate +kry stal +go u +lan de +dis mant +ab using +nor se +pat erson +ed mun +ap an +xi umin +sk el +cat walk +re act +wal led +t angle +br yn +ve to +super moon +cas ablanc +appreci ates +ski d +bo th +catal ina +ele ague +cyber monday +cau tious +ðŁ¤ ĵ +nov o +hamp ton +ha ye +jose f +var an +lo bos +roano ke +orph ans +tt in +squ ads +ishqba aaz +black panther +e tu +k sh +cru mble +cess na +reli eved +scul ly +pollin ators +explore canada +ki es +kam loops +kir an +pri mal +sett lements +hot spot +brain storming +ce dric +bi ennial +sh ant +âĻ¡âĻ¡ âĻ¡ +do on +hear n +walk way +fe m +ve al +deport ation +tox ins +elimin ating +descen ding +by the +bla sphe +ha sta +comple ment +as cent +ri ga +provo st +âĸ ª +wee ping +anti semitism +employe e +unearth ed +pin o +natali e +bla d +ang ola +lock heed +in ian +ag r +ni ster +im pala +m ke +fan atic +âĺħ âĺħ +ðŁij ¸ +lu ch +simpli fied +gall ery +econom ic +cy borg +con i +sel ma +in ception +ko ala +dv ds +cre sted +m mor +visi ble +n sd +ðŁĻĮ ðŁı½ +w under +refriger ator +re opening +e era +carou sel +as p +balli stic +victor y +mo tive +tre y +sharapo va +si i +mon ter +int end +west chester +sp e +cy mb +vi dal +ll ama +uni v +fin er +crafts manship +jazz fest +b ch +ag gio +n cc +lamb da +tranqu ility +cis co +ba den +so bbing +of i +go ta +ru mored +war med +ore an +ac ton +mar ci +gh ani +âľ ĵ +as sorted +pembro ke +pen elope +da f +at ty +aim o +pretz el +carni val +than os +ko chi +mer sal +ham radio +ar twit +cas c +guer rilla +kush ner +k app +al ise +todd lers +steward ship +o tti +ter ri +tem pe +rest less +vit o +zay ed +rsp b +pi on +hi ppo +haw thorne +in as +am ily +nut cracker +lo p +d ali +tro pic +ðŁ¤ ł +ul o +jare dle +py rene +pale o +usa ir +m ould +it ated +gene tically +biom ass +ðŁĩ³ðŁĩ ± +do dd +practic ed +monarch s +un manned +m buhari +am al +photo gra +ko ol +bren don +ju ices +cu re +world bank +poin ters +ðŁĴ Ŀ +tur f +le ds +bor ussia +bapti sm +warwick shire +moun ts +gay o +be gg +co pied +asi ans +k g +moder nist +gi d +front man +concentr ated +y t +sc avenger +iron ically +adi c +ps n +ðŁ¥ ī +cultur ally +yu v +mac arthur +fertili zer +be withyou +ri gor +min ors +z oning +âĸ ł +ri r +adole scent +vin ny +ren g +sand stone +gu et +we sth +ple dged +lac ed +sp ide +v ai +ty coon +seiz ure +du p +appalach ian +ro k +cathol ics +sey chel +posse ss +la ger +jo di +cham p +stra s +d ina +cent uri +cal der +blur ay +ðŁĩ¨ðŁĩ ³ +mo do +an nette +youtu bers +chap s +ang ling +label ing +a qui +pk wy +ly le +bi sexual +lit ur +dug out +li bby +grey sanatomy +sub stances +august us +rall ying +fi del +ing ue +äº º +hallmark channel +tooth brush +m á +adi rond +ag gi +ðŁĵį : +cru sade +tax ation +k z +i ver +dou bling +room ie +wa b +en rolled +az on +a ju +grand children +as df +ðŁ¥ º +mat ic +ough ton +utili ze +ðŁĴ £ +pon der +rais in +dys function +co bain +butter nut +e man +su red +dri an +and friends +with the +on omy +heine ken +bri dal +leader ship +pyram ids +deutsch land +jo cel +bo wel +y qr +horse power +be acon +ing eni +gra dient +fer mented +mo om +thing y +pot assi +wrist band +bor d +bo died +ðŁĺŃ ðŁĺį +ma pp +ka u +cyber punk +ph ish +loo king +co ates +ap ur +am ie +uk labour +at in +g la +adop table +shel by +v illi +ri ya +m ingly +cli mber +bumble bee +ðŁĺ ¸ +c sd +âĿ ¥ +hospit alized +c ki +hat er +ch r +re tina +it a +fan base +beat rice +gwy ne +go ss +fo s +favor ited +swachhb harat +mal ade +mon mouth +" [ +si van +sh hh +command ing +sains burys +wee d +g man +ss w +rep tile +iv y +tro pics +roll ers +over cast +ex position +masquer ade +man crush +wa ist +spr inter +sle et +le vin +j pg +_ ( +o pel +explo it +ap a +po we +wrec king +jong in +or b +er ick +bo sco +pra ising +ber tr +to wing +in security +ku t +resto cked +rr p +prescri bed +trafal gar +per t +g ases +app rais +g har +music als +âĸ¬ âĸ¬ +mc fad +ag ony +conditi on +equi p +shi k +atra vel +ðŁĩ¿ ðŁĩ¦ +ke h +abduc tion +pe oria +wil kins +g ms +as d +ev i +ðŁĴĹ ðŁĴĹðŁĴĹ +u z +mo c +halle lujah +guad alu +lou vre +dra wing +go ve +ph ant +fri e +web dev +program mer +z able +games com +clari fy +li th +kin ky +âĿ £ +labour doorstep +son ata +ju ris +mai den +vi adu +buch arest +conditi oned +capit alist +u de +ps b +sp ca +lul la +footh ills +kay o +bon d +wom b +roun der +ce sar +bur sts +ap ra +sw oon +sab rin +fra grant +cle arer +ku brick +cli max +jour no +ag le +ðŁı½ âĢįâĻĢï¸ı +poo ch +hal e +sol it +sal mon +organis ms +bron son +art en +hodg son +alo ve +vent ure +bb i +ae a +ðŁIJ ¢ +ld n +d nr +o zone +el las +man ny +azz ur +un beat +tru ffles +th ong +ma ñ +las ers +ley e +gettys burg +back packs +or is +ma ison +craw ling +la bra +cl ing +dra gging +ste al +dou bt +de van +ck ers +agent sof +photo bomb +elon musk +abo y +dist ances +story line +sp i +nor than +europe ans +wh ale +ser pent +ðŁļ ² +fi or +tr it +ox o +awar ding +class mate +su fc +smar test +rich es +pr k +big foot +ar mb +bi polar +dw elling +om ars +k wan +gri me +m eng +freder ick +navar ro +sorry notsorry +jaredle to +pa ve +sl ack +barn sley +att ar +evic tion +accumul ation +o ir +cat chy +wel ter +vik as +has see +nik ita +mo yes +mathe ws +shi v +gat wick +pro filing +compan ions +mar rake +an tics +ðŁĻĮðŁĻĮ ðŁĻĮ +se se +bo i +bart lett +poison ous +ab uses +ym m +kam pala +guggen heim +imv kohli +dol om +bre e +thro ttle +gare th +fitz patrick +un ya +par ad +mar got +j nr +we a +potassi um +p nc +disgu ised +cra sh +ren ergy +ill ic +coup led +ni els +ci ones +æĹ ¥ +im ent +despic able +d ye +what cha +conne ctions +paralym pics +gaunt let +wait rose +suici dal +star ship +vap or +st ou +law maker +coo led +si mo +then o +offro ad +ja den +bas que +vick y +lu kaku +centr o +tri sh +strate gist +medic ations +hor st +b fc +gra il +sharp ly +ad itya +tom b +kau fman +tri pad +sam ba +pastor al +brit ney +sag an +hill side +mas ons +sar a +z one +x u +to tes +rob bie +app en +mon tag +der o +short film +charis matic +tat ors +ki ba +and ri +al arming +split ting +ic ar +th ug +scari est +sylve ster +an an +u trecht +a difference +me ade +bu ster +air strikes +cu ffs +account ants +ðŁĺ¡ ðŁĺ¡ +new t +bo tt +issu ing +cl ancy +wwen etwork +kyu hyun +rese mble +pajam as +sin k +kin ney +sul ph +or k +li es +la gh +or ton +ra hul +d sc +we will +re am +collo qui +shar ia +hec tic +sar casm +land er +tm z +endor f +ro z +ham mered +fri s +w adi +pope francis +he it +flash light +un born +op es +hol iness +ðŁIJ ¦ +nach t +im sa +gr acing +bj p +ver ts +c sc +home owner +a que +bigo try +anni e +bag h +âĿ¤ï¸ı ðŁĺį +car i +thom p +dispo sable +cardio logy +pat ented +hh hhhh +ld r +stephen son +cro res +fan ning +cli mat +ðŁijį ðŁijįðŁijį +ðŁijį ðŁı¼ +aer on +piccad illy +bank rupt +sil via +emplo y +don ny +commen ting +screen writer +io ta +ce an +anc ers +tu an +street wear +ठ¯ +sk ine +esp a +asi f +os ce +she ppard +more cam +bott le +der s +orac le +google play +aver aged +edmon ton +steph an +sister hood +cru sted +stag gering +methodo logy +congress woman +c abo +tri ggers +mil ky +gli de +tooth paste +room mates +nu ff +gu am +sprink les +alternati ve +wat fordfc +uof t +hal ey +cont acted +bun dy +pro stitu +gh ar +pre ston +on site +hil ar +g ts +c att +hamp stead +? ?! +ðŁĩ§ ðŁĩ +bbc qt +aless andro +resi st +ma idan +t ko +shad ing +pin up +gal lo +sin u +at ec +fun k +ac lu +stri des +rhy me +wet land +bbc springwatch +t ins +wild card +st our +flamen co +pau la +onto logy +gang sta +am ade +ãĤ « +t bs +skelet al +run ner +jard in +harri er +hun ted +z hen +believein film +de mean +au diti +re start +chon dri +âĿ¤ï¸ı ðŁĴĻ +mcla ren +ga b +sh um +au sa +lewi sham +y pg +k jv +fur nished +dor o +bon ded +mor ty +lat itude +_ ) +lo va +water ways +vin ai +shor th +drun k +c ay +ay ana +kap lan +capp uccino +spr o +life boat +has bro +spol ice +tor on +do ing +dam n +sh ree +foun tains +ent ation +mar u +boar der +to pless +j ada +chan ning +ul ls +en closure +gib son +fractu red +brit ton +à ¶ +t ous +por th +dra f +tra iling +mar gate +eli fe +down ward +lin n +gla des +girl power +ak rish +u ki +ron da +ts c +appreci ationday +vis ing +lo om +ðŁį ³ +mex ican +ar gos +y ya +jad ine +south port +d end +si sta +rede em +men g +bra xton +antioxid ant +s key +mp g +fin ding +vibr ation +ce u +kh art +di mini +cl ine +shel ly +hin es +ī ï¸ı +to pical +no ver +ma xx +prim itive +illustr ate +b ounds +tren ton +join tly +breed ers +u chi +wakeup america +b ada +ðŁĹ £ï¸ı +gu acam +sp heres +pere gr +youth ful +lo lo +bir min +t ly +jeremy corbyn +defe cts +co sm +a rent +v aa +bag els +medi ac +cori ander +ic ago +g haz +ab bas +re model +struc turing +pu m +out law +ad ani +r bc +gul ls +n li +confu se +ðŁijĩ ðŁı¼ +vil a +mcnam ara +correc tions +mug hal +ser i +re gain +ss b +lea ve +haha hah +gran de +di stressed +re chargeable +ho a +hou sed +sti l +attribu ted +opath ic +di ps +pri t +head phone +conclu de +pil o +he t +ut sa +nit in +je m +sni ppet +tutor ing +op er +sun k +en sla +cha u +ac orn +quinte ss +ran kin +affili ated +our lives +cl int +se ater +isa ac +ba shing +sme ar +nur se +doo dling +" ; +sa ku +atroc ities +im am +g fs +viol ating +comm end +brad shaw +er ville +b illed +b be +thul hu +i phones +moo se +di os +re w +me thane +strang ely +whis ky +ti ghtly +spiel berg +radi us +notic ing +wi f +ig nati +i fa +ap is +w ali +ha itian +bu shes +y z +v l +ex ited +asse l +tru ec +dom en +ash er +in king +newyear seve +hend ricks +bat i +ìĿ´ ì +rich ter +mon santo +con line +agre at +ðŁ¤ ¯ +master pieces +ar n +rough s +cle ve +se v +fashi ons +to ya +sh ail +cop eland +aqu ari +dec als +are you +y aya +a str +fon t +ml m +ar ca +pp or +pol lock +xper ia +conserv ation +chain saw +ag gie +?! ?!? +si le +sh on +ìĹ IJ +note books +marque tte +de us +bb led +spic er +mc cabe +nor wich +modi fication +boo sted +stru m +sales man +bang le +nis san +hez bollah +brea sts +a af +anth us +sk er +ow ed +her os +gi fs +fo sters +eat ers +du es +_ / +lymph oma +sf am +me gal +afri di +ag ic +p amp +jeal ousy +ðŁijĮ ðŁı¼ +calcul ate +napp ing +g ale +ðŁ¦ Ħ +lub bock +assu med +ren ting +íĥ ľ +subur b +ãĤ · +tech nic +u cla +in front +gar net +ster oids +stri ving +ho war +mo ver +le ton +bull do +is in +ci ao +sn z +fore front +d ams +mid wife +ma wards +cla pton +we in +subsi dies +spr oud +rother ham +phan tom +ar ach +spi el +rac ket +sel amat +no on +l bc +enti ally +ðŁĴ ¸ +sil ve +m oud +kine tic +y asi +ðŁİ © +o ol +mi ku +i za +fer a +flo ren +barber shop +groo t +z est +ne ars +stan is +z and +police man +juris dic +form ations +appar atus +sp d +arti fact +to sc +motiv ating +womanc rush +re dro +diagno stics +ra za +out fitters +el xn +dod gy +ry n +sh d +ortho don +ol de +jay anti +bal ances +quic kest +can ton +friday reads +! * +na a +a ak +ðŁĶ · +behavi ors +rasp berries +ä » +polit ical +cam il +å ľ +di k +ast ounding +lie be +novel ty +tur moil +sul ly +spring break +hon ouring +cc g +ðŁı Ĵ +my little +ky c +pro ms +ðŁķ Ĭ +à ¨ +bi ge +av ril +ðŁĩµðŁĩ ° +mari on +as ants +sur ya +oc tag +luf than +ac ron +fayette ville +ti que +love s +en ca +de kalb +ta ver +de vote +aux iliary +joh annes +tread mill +ay an +qu r +donald son +cher yl +" .... +s ven +kir sty +gun ners +ra dish +o ahu +v sky +i ble +con course +b ps +elo qu +ash ford +te bow +roblo x +ma da +dri ving +th day +spro ject +m ms +band ed +. !! +libr arians +flan nel +intoler ance +her al +ç µ +neme sis +list a +tar ak +cry pt +star plus +vish nu +sc ale +cr is +% ), +j illian +regg ae +pegas us +ol in +ip ment +man ic +l fc +godd ard +ite am +parl our +anch ors +lee minho +talla hassee +ant it +d ho +kid ney +y ash +batt led +az ad +gar is +faul kner +sni ff +papar azzi +ed m +phy llis +con tested +aa ay +se ca +k ton +vel ve +rain ier +for um +tam pab +ho sp +trac tors +ox fordshire +no tion +guang zhou +ðŁĺ ¯ +ref ill +wednesday motivation +sli der +mukher jee +pr att +fon taine +alph on +af ar +ts i +pest icides +fi ends +mo cking +bra w +tran sat +do ses +co res +hom ophobia +docu menting +zlat an +con doms +s é +sun set +kun st +ton ga +ภª +v ation +sp ray +chow der +ra ps +palla dium +nor wood +music history +hoo ker +si si +osp rey +ph ys +conce ded +bob cat +ar mad +ze it +Ù Ħ +ðŁĺģ ðŁĺģ +mer idi +ðŁĩ· ðŁĩº +corn wall +! ), +touch downs +ze it +chal et +mm m +al che +gor illa +fo ss +ati ku +lumin ous +ivan ka +be ek +sta res +sw iss +âĿ¤âĿ¤ âĿ¤âĿ¤ +scru bs +me ath +gusta v +jo gging +confe tti +as os +ers fc +breit bart +applic able +autho red +ya ho +h in +displac ement +j v +ðŁĮ¹ ðŁĮ¹ +ot c +non profits +diec ast +gu sto +inte stin +c ages +me en +lu kas +moon ey +ðŁĺ · +very day +tor ah +is sion +wa c +lever aging +ish able +cu se +le wood +may an +turn table +ju ice +tru sty +tu p +eti quette +supervis ors +stu n +gu zman +confe ren +ric o +fe ast +back ward +pol aris +mic he +jo g +h ing +field house +vel ing +sho cker +esc ence +ठ¾ +vi be +anasta sia +mar ched +kill ing +Ķ ë +fe tt +exop lan +... ( +snow day +lo h +ir ani +la khs +del a +po caly +boom ers +dictat orship +ac er +tur keys +quarter final +muskete ers +ðŁĴĽ ðŁĴļ +sf x +museum week +sc ala +ri sis +( ðŁĵ· +ãĢ Ĥ +z ies +bo eh +hu es +lu sci +dol a +impeach trump +roo d +don caster +tor re +hero es +fo yer +tar i +blur red +ke w +frank ly +dro id +ap al +Ð ¼ +y af +bre t +par agu +cac ao +ðŁĻĮ ðŁı¾ +ru e +head aches +shaw ty +char ley +pal er +go wns +correc tional +ðŁĺ© ðŁĺ© +breaking bad +ol ing +da p +endeav our +cit adel +tra d +incumb ent +medit ate +foo ted +ðŁĴ µ +shab bat +dayof the +wil lem +gal way +to red +marri age +f illion +sleeve less +aud itor +jin young +invin cible +kad una +a and +volcan oes +mon eti +indie gogo +buccane ers +ðŁijī ðŁı½ +ãĢ Ĥ +lay ton +cuck oo +hu mber +buzz er +Ï ī +to re +stra ins +sto m +pa ine +s we +du ff +z ou +si mi +li pp +ur n +se agu +ðŁĶ ® +sun dae +hi c +ðŁĺ ¨ +bull pen +u per +flyo ver +al dridge +glo bes +ali es +ken zie +ge es +y cle +sp lin +mag enta +j ha +bal u +gh orn +ti pper +wick er +taste of +con clave +ch ale +inv asi +cat er +dio xide +me gab +win n +at p +transform ative +nest led +hi g +bri dging +lil ies +chee red +bad dest +sc rolls +real is +dipl o +ðŁĶ « +conce ssion +prefe rences +explo des +er gon +introduc tory +ine au +ch af +som es +land rover +spir ation +sex y +sco recard +illustr ates +soul mate +wi en +inter disciplinary +fore casting +ent ities +glu ed +en lar +cur t +percep tions +boot leg +mi re +asho k +v az +hor ne +cal le +ac ulture +ther oy +night time +oc al +character design +ar mist +ðŁĺı ðŁĺı +yah oo +ac eae +to se +even to +sou t +nay anth +wh om +v are +ri gging +gen us +hi ve +com mands +sti e +day a +ethan ol +en f +hi fi +flu ence +cle mson +re invent +thermom eter +humor ous +emer ging +aci ón +ðŁĺĺ ðŁĺį +s ity +haw ke +accompan ying +t ility +ðŁĺ ª +re cess +protag onist +l ery +dun dal +int l +britt any +q bs +off the +marri ages +how to +viol ated +adel aide +wit t +lanc er +pak v +hu me +st ade +bra gging +ou tright +ad c +super st +real time +cu res +garden ers +ero ck +dale jr +ver o +bar tol +mo ti +mc fly +v pn +st ink +over rated +guer ra +e tis +ath ome +twd family +th ab +tn x +rafa el +family travel +x ley +sat anic +equ ations +ru dy +wal dorf +stan i +tu be +meas les +zimmer man +obli gations +i ously +bow ser +trans former +sho ppe +shak en +gh ouse +to d +ke tball +share holder +mar ca +kp mg +ak an +given chy +coast al +au th +roller coaster +mar ches +coordin ate +cine ma +apprentic es +par lor +mit o +men on +consider able +bar re +glo ss +enh ances +jaz eera +fal mouth +thra sh +stat en +k zn +eng el +samanth ap +flo ppy +sal om +ðŁıĨ ðŁıĨ +w ack +deliber ate +osc ill +herit ag +du sted +orni thology +pad dle +fer ns +bar un +cl ans +anticip ate +a ay +mat ically +é ĩ +tu mble +post man +unic ef +tro tter +op d +leaf let +ge ist +cease fire +scre ws +cre ation +wal nuts +longh orns +under statement +ab b +proxim ity +na x +un ity +turn pike +orda ined +dub step +chak ra +me ch +love her +look alike +donne in +vir on +Ù Ī +bang ers +vari ants +out dated +in ta +cri sto +sp elt +food and +f on +stefan i +margin al +hu tton +ti ara +tel ford +qu en +fair grounds +que tta +mikha il +heal er +v ball +ty re +under grad +gl end +hom ers +scri bed +main tains +po che +mis sal +mar ko +u as +á n +sh p +con vey +pad re +sab a +pu glia +madhu ri +pa xton +chap lain +n ago +ca si +... !!! +fli rt +sal eh +k are +di re +stam ped +extre me +ðŁĺĥ ðŁĺĥ +ho ppy +guadalu pe +advant aged +eu char +p low +un n +mac qu +port land +cla sh +pe s +lou bout +y p +keep ing +arca dia +fran kie +fi u +de th +encyclo pedia +si ze +inve sts +ðŁį © +geo logical +fran ç +con front +ðŁĺ ¥ +d ys +af m +tex an +graph ene +repost app +ac f +ur sula +gaz a +dd led +fu m +wsb tv +m be +fron tiers +chrono graph +ke s +inter faith +tab oo +spar ta +won do +flori st +em braces +ca w +no el +arch ers +ðŁIJ · +roman o +ban an +sh akers +melo dies +geo thermal +se phora +ìļ ° +оР´ +pro c +hand shake +pan de +popul ated +slow down +hor tons +registr ations +un deni +lan ts +pas sover +thak ur +li ef +adhe sive +pe tal +micro scopy +memph is +confir ming +air drop +mesm er +perce ived +ming le +lifel ine +gh j +worcester shire +pas sions +ach er +el lar +ah o +firen ze +bar ang +letter man +hat field +lu cha +je ter +e shop +william s +horo scope +pre de +east bourne +dur ga +di version +al trin +seis mic +premi osm +nar co +ti r +ori g +or m +land fall +ci ous +lin do +max ine +x ico +tra y +os wald +c ba +ric otta +n cr +mar au +ภ² +gladi ator +ch ery +lun g +u me +po psic +lon ging +can als +ta ya +decentr alized +sho pp +pres sures +mahar aj +eti had +wal greens +succe ssion +sign aling +li g +staf fer +north korea +def ying +as ma +de g +peri meter +oak ville +m sk +balti more +rece ip +de ple +ðŁĺŃ ðŁĺĤ +jambo ree +> .< +rsp b +puni sher +consider ably +in tothe +pari sian +acceler ated +polye ster +low es +fr ying +sauté ed +mou ths +seychel les +ra x +go dis +dak ota +house wives +the me +mat inee +black bird +ye sung +pre fers +pelle gr +in ated +trun ks +stronger together +re pet +re pairing +ped als +toler ant +her r +dun ne +indic ation +decat ur +b tv +exhibit ors +ik on +friday motivation +bra gg +live tweet +al ves +womens art +foreig ners +wal lets +min dy +lan ey +bb in +tv miaw +lif ter +tar get +tam e +dr ou +astro photography +mp c +g pu +nord strom +fric tion +run off +lov able +sp nfamily +ext ingui +bloo dy +sch el +arti stry +sw ish +scar ce +ph ils +max im +pos sum +com promised +sty li +sc fc +is sa +birmin gham +sket ched +angel ica +ordin ance +je ts +conqu er +ðŁĺ IJ +online shopping +s ori +reason ably +nue stro +ar turo +ch l +benef ici +spho to +wel t +ni kk +ðŁ¤ ŀ +dan ao +for mid +as se +af irst +âľ Ĥ +gil lette +as sor +an onym +sel ca +fe mi +bear able +y and +ar mory +cre pe +celtic fc +bra vo +in expensive +de lec +ge cko +new market +snow flakes +kab ir +con tra +can ning +mor pho +gar wal +ðŁĴĥ ðŁı» +fight ing +mu tation +woo dy +ju gg +gr aces +premiosm tvmiaw +kenne dy +gu p +sa e +op ha +off spring +fini sher +bet ts +span ning +mar j +h one +sh ing +contin ents +samanthap rabhu +un related +l acy +explo sions +benjam in +sophi e +no ting +micro soft +as sen +a hoy +i ker +ho fer +mo e +ah madi +yan n +an ak +ma hi +be u +aha h +creep er +baahu bali +am at +pri ory +haw keye +deloit te +sko da +print making +assemb ling +mirac ulous +no ch +sw o +leg a +oper ates +border lands +eli e +stron gh +rep tiles +pir ate +un fold + ¯ +qual comm +un predictable +ot r +rose wood +direc tional +counsel ors +corn ell +liber ated +j ad +ir regular +bulgar ian +high ness +vodaf one +sw ild +mini mize +gra zie +๠ĩ +r stats +stre ep +ome tric +humb le +lu mp +l ille +b ü +home depot +tripad visor +ki wan +a via +er z +ex ico +du f +blu men +mi zing +ar ma +in im +con stan +sor a +ju al +au n +tw ell +tren ches +her a +r k +po plar +recipe oftheday +ll an +bhu ban +short ages +ing don +bridge water +ðŁIJ ĺ +fortn ite +cam den +un cture +pro w +colon ies +t ks +n go +b hm +live pd +spl ace +sli ke +happye aster +ter rence +revol ver +j ed +yy yy +office of +m ts +exist ential +r ourke +explore bc +sse d +pri est +vix en +si ding +k pa +a har +ju ic +ob struc +foren sics +uk mfg +cancell ation +we ary +ab q +ele c +pri zed +deb ts +me zz +salv atore +m dc +gre tte +c gc +th on +snow storm +ts ch +cook ery +å ¹ +wa xing +n acional +mur s +ra ve +cap es +ger main +dri pping +sub mitting +ome lette +iter ation +aj es +shim mer +fu eling +ðŁĩ§ ðŁĩª +li po +bo bble +un follow +islam ist +hi ber +cat s +agentsof shield +sen si +____ _ +ster ia +inst al +ausp icious +har row +over land +femini sts +inst ant +char iot +blind ness +sp ed +sc arec +nu it +mini atures +ho seok +glo ck +fifa worldcup +e te +dis m +we iner +ex foli +ear ts +ภĶ +my art +man il +iss ant +form a +in cu +buffal ob +in tim +mc cul +anj ali +po po +un doub +hil a +fun gal +thank ful +fu tur +en dish +ren ds +th ar +she ff +ring o +nichol ls +io wa +po tom +cl ams +ãģ Ħ +acon f +stadi ums +di mp +di k +residen ces +do v +caric ature +seagu ll +kl m +confe ss +sla pped +cele b +turb ines +pp v +nur ture +el ab +.... .# +tu ff +de press +al far +amii bo +di spon +e wing +que er +friend s +for re +âĺ ¼ +sw t +aqu arius +head liner +cur d +fi gs +o tters +love fl +kare em +go vegan +fri yay +consol ation +at ri +ì§ Ħ +âĺĿ ï¸ı +poly ne +gu ed +o ya +la us +intestin al +cam illa +scal p +pi r +leed s +horri fying +bore tum +dand elion +fer rer +ell ic +as x +so ren +re loaded +ale ague +navig ator +ine tte +add ams +al chemist +ak shay +dystop ian +awe c +n aya +al isa +ai led +ag or +avi ator +ali zer +smo bile +findyour park +cop ying +to ddy +sh ti +mon ger +cal houn +nap kin +break up +y atra +se thu +ric hi +eras mus +fer ry +am ore +prac tise +bo bo +power point +oo se +li ffe +chin a +sh ka +fad navis +du ane +war on +fal se +ðŁļ Ĥ +wa shes +disc ip +==== ==== +g k +ab b +stub born +medi eval +p ci +ðŁį ª +maril yn +h yo +man di +cr i +prede cess +continu ation +om usic +s lat +wh al +mall ory +bon n +shen zhen +ca i +âĺ ĥ +sa fest +for wards +dra wers +bla sted +sle e +mor phe +mb ta +dumb ass +ÑĦоÑĤ о +alhamdulil lah +ec lub +al beit +heal ey +ayurve da +adverti sed +cro cs +itt les +bry son +be i +nj pw +honore e +fu sed +ðŁĶ ĺ +mul tin +n aga +de parts +ko p +kin o +jhar khand +ed na +ax le +mil ton +supremac ist +marrake ch +domin ic +tran script +] [# +: ). +wo c +sur rounds +o gil +leaf lets +co well +whe w +tru de +proli fer +succe s +sports man +con dom +po che +k up +imprison ment +{ } +scram bled +å Ľ +ka ine +cell phone +metam or +con i +remn ants +ee z +down pour +afterno on +exerc ising +ber ser +architec ture +wick low +m ns +is p +bo c +n iss +mn wild +stu mble +r si +lu ffy +sil en +dd ad +bul lies +haw ker +bb cc +scu ba +e pp +que ts +for aging +pal let +ha di +cinemato grapher +cat chers +to aster +k hi +lite coin +kid lit +amher st +maur icio +ip ad +mar malade +fe y +don nelly +g to +est as +cere bral +ant grasso +zz led +vir gil +swa pped +ðŁĺħ ðŁĺħ +no dapl +greate st +nhl bruins +fra ser +b mo +ane w +. âĿ¤ï¸ı +se gregation +remark ably +mccor mick +lo gger +er as +contrac ting +âłĢ âłĢ +yor ks +uku lele +touch screen +de cked +ben n +south wark +ra vin +nu mis +ðŁ¤ Ļ +ru t +gre co +eth ic +red neck +ar r +t cs +ih ri +ðŁĩ« ðŁĩ· +l k +inher ited +zy k +viadu ct +marty red +hi gu +ss n +be in +street style +fer gie +bank of +æĹ ¥ +stake holder +exempl ary +cre ss +ess a +ero tica +intre pid +gom es +bra un +bethan y +bang tan +pulmon ary +m illing +doctor ate +trump russia +ठ° +s ani +bl att +pla u +depri ved +t le +ful ly +bour n +st ak +lufthan sa +kio sk +far oo +def y +bad an +ðŁĺĺ âĿ¤ï¸ı +rit z +tri sha +ran ds +middle sex +arab s +pro j +sport scenter +repe ats +iv f +bleed blue +as sure +o bs +territ orial +ele n +bever ley +ann ah +âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ıâĿ¤ï¸ı +z l +for good +science fiction +gla u +son ya +pri th +st weets +mix ers +mari o +ant elope +writing community +went z +den ham +be di +sf o +harley davidson +look book +immuno therapy +or phe +es ville +ed ged +tas k +sb ball +corro sion +kilom eters +co sting +play back +ke ke +di visi +u ter +re location +yel led +pen g +up beat +ser ve +âļ ł +hal en +stir ring +reh man +en v +schu macher +frag ment +alkal ine +sb k +resil i +share point +rol lover +tra sh +counter part +âĻ « +ob itu +à ½ +ãĤ ¹ +mul berry +ðŁİ Ĩ +auton omy +spra ying +nat l +love you +fran ki +nu k +esc ar +can teen +ali baba +de plor +mole cule +pu d +fort night +blon die +sp hin +portra yal +ta che +bu te +consi sting +freep alestine +c sp +im mort +d ns +ðŁĴ¥ ðŁĴ¥ +tour de +coo king +archi val +ga thers +bit t +b anc +pre mature +snow ball +poetry day +lou dly +fug itive +ed ay +em ra +ðŁĩ¸ ðŁĩª +sci en +node js +jur gen +je ong +band ana +un is +fox sports +v andy +pro visions +wee p +tu k +i ko +h oun +zig gy +z r +fil let +bat a +tin k +con e +we want +k ilo +hor ace +sl t +sc t +stay tuned +victor ia +umb ria +att acker +ingham shire +fright ening +no ir +fr at +con tempt +lia ison +ho i +br ink +tr ill +ni agar +kick ass +dun das +not my +rho de +bu mble +no xi +fa g +spec tators +mancrush monday +jin ping +distr act +dais y +wal den +portra it +ar thistory +vol tron +ev el +is c +ac m +r ite +na o +de ported +swe ats +ru fus +lo bo +labor day +gam o +ihri thik +bl it +abdomin al +ãħ¤ãħ¤ ãħ¤ãħ¤ +i it +e q +bu sy +allu arjun +un disclosed +de ton +pro create +ki l +ðŁİĤ ðŁİĤ +mitch ell +ki i +inherit ance +al p +jo burg +pat rolling +compul sory +un signed +ni am +l ga +eshop suk +tr illi +ma w +appreci ating +rock ab +mañ ana +an tal +mal vern +roy o +grand prix +sut ton +go ftheday +dig i +ãħĭãħĭ ãħĭãħĭ +t les +varan asi +erec ted +discip les +cont act +ðŁĺ µ +li d +⬠ĩ +scen tre +radi ator +ing tips +trans itions +thursday motivation +chem ical +separ ati +sal is +mi m +geo graphical +book fest +/ . +âľ ĭ +v ae +cur rie +ag garwal +acceler ation +the ses +lg m +u mass +pro portions +nat a +ani ans +ku ch +be acons +ap r +@ # +ðŁĴª ðŁı¾ +nu ke +sher aton +ki o +ma kati +polit ico +mor ale +ì Ļ +econom ically +gg ly +ss en +pa stries +intern ships +vic ente +fanta ken +aveng ers +accu se +slee pover +indic ated +the dream +ster one +ren ders +fro st +ou i +gre gg +d ore +⾨ ⾨⾨ +pu gs +sat y +nu mb +hems worth +tam i +la ssic +schi ff +igle sias +ag awa +] " +re shi +game stop +divor ced +theat er +clau di +un conventional +prophe ts +ac in +twel f +tow ering +t ml +sc lerosis +k wan +ge ts +distur b +na ira +ener g +pir acy +pru itt +noti fied +hen na +bra m +ground water +bl s +opti mis +$ ) +luci e +biz hour +fang irling +gr ills +or l +ver se +c ina +law less +artistson twitter +tele vised +marshmal lows +radio head +bar r +m fc +bre vi +mmor pg +g aya +âĸ « +sub titles +j t +disney land +to bago +nh m +groo ve +fi awec +" / +ba o +scra bble +om ni +ff l +um c +si mba +ali er +ter rell +plu me +mi di +dig nit +co c +bru t +ad ata +alche my +d sm +ðŁĺĨ ðŁĺĨ +win try +spa res +cu er +conclu sions +to ys +od or +fl ann +gar vey +scrip tions +inspec tions +cat ap +ang lo +st louis +heim er +at ay +tr ich +en yc +chil ds +vent il +mont p +guiller mo +circu lare +z ell +mode led +craf tsman +al ina +stimul ation +cashe w +ju das +best of +to ire +susp ends +scol lege +real ising +by tes +bloo ds +as si +ðŁĴ ¿ +o hs +ðŁį ĭ +scallo p +ठµ +gi fting +camo gie +wil kes +o zzy +ðŁ¤ ¤ +ver onic +sav oy +deme tri +baby girl +ðŁĺį ðŁĺŃ +so x +cly de +induc tee +count down +self care +ठľ +vi ka +tor re +phd chat +pe ars +aw h +suff rage +le sn +admir ation +mp p +shark week +schul z +santor ini +clo ver +( * +stras bourg +ex iting +so yu +finger print +che a +ãĢ ľ +vin dic +song writers +so a +prou der +nam a += )) +simple st +delici ously +gil les +u q +mn wx +ep p +sh un +ken nel +fall on +ðŁIJ £ +sin d +tra gically +out es +modern ism +co ke +gy n +spi on +âĺ¹ ï¸ı +le am +compress or +apolog ise +twent yon +fan atics +âĻ » +sco tsman +sa wa +ko u +as er +ภļ +welter weight +phen om +twick enham +stri a +p out +ka z +gi am +cd p +ho y +emplo y +red mond +ภĦภ+sm ere +trance family +proto cols +pie ce +lu iz +iter acy +carl s +united states +har med +phd life +ch aw +foot prints +l é +cho ker +z ana +sli pper +eric sson +insul ting +articho ke +advis ing +acquis itions +op or +mut ations +re ar +ॠģ +pod cast +wi ther +kun g +íĺ ¸ +win slow +di apers +ðŁĵ¸ @ +ec ker +col lar +hu ey +gi ro +mono gram +kas ich +si veness +malay si +arom atic +gre s +gali leo +u ji +rob b +dr m +none theless +as a +: > +lo a +l np +at work +ag t +laksh mi +pipel ines +id al +stre l +re all +chain z +stone wall +san sk +ðŁı ´ +pied mont +hoste ss +ci u +t é +analy ses +wil helm +scott y +rw by +mosqu it +use mb +qu ins +ðŁij İ +tu cker +s conf +speci fications +psychi atry +broo kes +s ils +ol af +de to +co di +cli p +fil th +womancrush wednesday +go to +ang erous +be ale +w tc +paneli st +ne x +lar sen +emili o +tab leau +h itters +conce ived +americ ani +or tega +mar di +Ñ ĥ +pain tball +thir sty +new yorker +etis ation +go ss +we aker +u gh +tro ll +har ga +du al +ght ning +at ine +ðŁĺİ ðŁĺİðŁĺİ +cook out +pyrene es +po ss +authent ication +sports wear +yun ho +kir o +archi pel +shen ko +ren der +nov ation +divin ity +ðŁij £ +su fi +humb ling +ge opol +devote es +wait ress +tr ough +py ro +i ba +bl ing +gra f +epilo ts +bt r +of tball +bas king +domin os +so om +r ath +sher yl +qu el +astronom ical +wel d +track list +sig nee +slee pless +com man +ch ron +summ on +pure michigan +cri spr +sli p +la gi +ra q +um u +thal ap +char med +scru mp +quad copter +ski p +peter sen +mun i +ðŁĮ ¾ +mon aghan +tra ys +ick ed +canad aday +te gr +ï¿ ½ +hot ness +heavy metal +ab ar +gop debate +az ul +spider man +sun flowers +ľ ë +web comics +bar d +Ð ² +nichol as +slu sh +ram an +mark ham +ffici al +ff ler +íĬ ¸ +ple ss +anush ka +to to +sk aters +pro wrestling +compet es +ay ala +myster y +thr ills +mp g +independ ently +y ul +imper ative +formid able +tire less +st acking +ton gues +mal tese +pot ts +mat ti +char ting +chill out +super nova +ome o +sky sports +nu tty +ðŁĹĵ ï¸ı +ro han +insp ired +concier ge +ser ra +ma kk +gal at +chi pp +ye v +ì £ +reim bur +op ul +kimber ley +i eee +bre men +ch itec +or in +nak u +bon kers +foo ty +emer gence +ðŁĨ ĺ +sti p +serge i +zo ey +ai me +wou ld +dy es +destin y +vinai grette +dri er +circulare conomy +an archi +ss r +sch el +cin er +gro om +determin ing +gar min +cal ais +incarcer ation +bu kit +no i +chelms ford +mckin ley +chi pped +belong ed +tu mors +str oud +mi i +influen za +wwen xt +tun dra +tele communications +cat sofinstagram +t ages +beat ty +o du +ml kday +oo per +dang le +ak ley +cru mb +anti gua +ti mbers +rou hani +ðŁĴª ðŁĴªðŁĴª +ha fi +... !! +w cs +coo p +sn c +lit res +ãĢ Ĭ +ha z +co z +k ant +green field +cur ti +y ale +flye agles +what soever +wor thing +rou lette +flyeagles fly +un da +a inted +stand ing +lusci ous +h pc +effic acy +ash land +me ghan +ky wx +n pr +bath tub +ac os +h ani +mar cor +man tis +da isi +bo ba +ab bie +mu til +vi al +spy der +po z +g ti +el fie +nigh tw +metro id +anton i +mad die +dh ry +dar lings +ten ds +taek wondo +atlan ta +me ow +chlo e +ãĥ İ +ym es +siber ia +k con +gu es +mar iner +fac il +azz le +[ ... +han nover +bav aria +vir go +te uk +u sps +) # +wall a +sam pson +need less +ver bally +hay ley +bow led +pi us +lam pard +ham string +vol vo +road safety +cho king +sor bet +a hem +healthy food +brai ded +horticul ture +cr ative +che ek +ad do +the force +ko ko +schiz oph +j ie +w ada +twentyon epilots +h bcu +pro ton +pau ls +lou isa +lat am +kyr gy +com pac +sd k +sap i +?? ? +liber alism +ep silon +ai den +w usa +spra yed +baske tball +kim ono +blue wave +ali as +ë§ Ī +mug shot +ce c +do gre +ad ora +ðŁĵ· @ +kra kow +intrigu ed +exhau sting +astron omer +ven ison +lady bug +ci v +bra e +us m +bri be +acup uncture +pembro ke +ke ating +chi e +y ad +t si +sm i +see ding +gate shead +lis boa +gy p +canv ass +ðŁĶ´ âļªï¸ı +op i +ni r +soci etal +ly te +ati es +c sm +ar tery +al in +aka poor +abstr acts +âĢ¦ âĢ¦ +teen wolf +ne we +travel gram +sentim ental +per ched +han del +ho ek +f ay +coordin ating +anim ate +man ian +effor t +jer ky +f ck +adri enne +ma bly +tra ding +my el +spi ro +sol a +stor ing +over drive +monday morning +dream team +pul se +bon di +ber nie +pgat our +tri poli +son am +plat t +âļ ¡ +ag roup +îIJ Ĵ +inv ading +v cu +k ell +ñ os +un dead +pod casting +mercede sam +mana fort +cor tex +que so +impecc able +pal mer +wil doz +sport sc +guacam ole +dispen ser +cate gori +stun ts +per il +invit ations +dune din +xi e +achi eves +saf er +pre ds +ph an +knuck les +k ak +igno res +lovemy job +aru ba +ound ation +datac enter +co vert +gr ing +cou ple +ا ر +vol i +mc cle +arti sans +lu do +kal am +arom a +under taker +hu la +wiz kid +gu mb +god frey +bakers field +ker n +engine er +car ve +pal in +guaran tees +pe bbles +b ays +zi eg +fin k +â¬ĩï¸ı â¬ĩï¸ı +down pours +ro chelle +rasp berry +ðŁĺ ® +gra phies +stom p +caf es +ari zed +utt ar +cal vary +dri e +crusad er +bus an +tux edo +si u +seam us +cul tured +blan chard +town house +ge red +butter milk +flu ctu +roger federer +hel i +ðŁ¦ ĥ +u ous +ram esh +mu ppets +email marketing +ye ss +br ice +ri zio +pel o +donnein arte +u rable +inve stin +bump ing +raji v +sav a +thro wer +fore x +o hhhh +th rust +pull man +r fid +sep sis +le ed +fri ght +roun ding +ne b +ph ins +ai sha +utili zing +squ ats +gold smith +j ic +bo ks +vau s +i po +exclu sion +tari ff +po kes +min al +land s +en force +washington dc +or char +g x +mar ys +ey our +aussi e +bak ers +un popular +latin os +lar ge +pu tnam +bol o +wa de +pel o +di zz +ob struction +fla ppy +weare the +depend ence +pajam a +e te +y ann +e wan +disc la +a ay +kar ina +e ic +an trim +w soc +neg atively +kai do +fotogra fia +dh ru +colo ssal +mcle od +k wang +mani pu +ex hilar +us atoday +summer slam +co les +tapro om +unbeat able +de ma +tic ks +k ling +fil s +campaig ners +ภķ +brew ster +audu bon +qu ay +ch s +ki gali +d ler +strength ens +som al +sign ingday +gol ds +pig ment +orche stral +g q +lin kin +ðŁı ĩ +ta w +algar ve +ho v +ear le +gold fish +am ig +ex er +ben in +dru id +ðŁIJ ¸ +she m +quat tro +mer cen +men te +incorpor ating +bon anza +state fair +en de +concep tions +e es +âĻ¥ï¸ı âĻ¥ï¸ı +d son +fire arm +orb ital +we h +multi p +fo b +requi em +p light +thou se +sa id +oc re +remem brance +n old +chi pping +be v +er t +ca thy +sy m +ri ggs +m ley +dialo gues +sl ender +how l +gau teng +wd w +to bi +smo kes +im plo +b pm +ad n +mom basa +cap sul +bloom field +artic ul +cle o +goog led +flu ffy +l ard +en zyme +ve sti +ibra hi +fl ame +e mea +out ages +dispro por +ble ak +an sel +ick er +st louis +stock market +good friday +sau lt +stal led +pro m +ep som +b é +the se +sau ces +me w +lit fest +pre d +re u +kar ak +si enna +ell in +bio technology +ï¸ıâĥ£ - +tac tic +sa in +por k +mon za +ka j +lu sh +compart ment +chang ing +shraddha kapoor +fo al +ar tem +cu ando +can ola +ori ente +me sse +d ited +br c +box er +bbc two +s st +ment day +em ing +de wey +kof i +âŀĸâŀĸ âŀĸâŀĸ +reali zation +smo l +tw ood +san je +flag staff +ber wick +cor set +can ary +whistle blower +et ched +com posing +squee zed +bow er +auto desk +ne h +mathi eu +ba ja +Å Ĥ +hy dra +da im +am eri +insi sted +mer lot +gar ros +heart news +gaine sville +cut ler +bo de +ðŁĺī ðŁĺī +lew es +scoun try +g sa +us u +cc m +god awgs +phara oh +cra e +mor ley +hyp noti +f ades +neur ons +fu zz +ing co +high landers +star k +vig ne +pac kets +amar illo +reu ben +insul ts +bas ic +vec tor +n me +ac ruz +tro s +transm itter +ðŁĺ ŀ +interpre t +ðŁĺ ² +pre quel +mc gowan +dis semin +ðŁĴĺ ðŁĴĺ +mascul inity +indie gamedev +ali ve +te t +pe tal +ema iled +ar med +ko o +he er +ba ird +super junior +metro polis +delav in +decl ines +stit utes +Û ģ +p tbo +g lan +cho res +e aling +chri ssy +ste mc +vi an +assassin ated +pron ounce +illeg als +discover y +cav ill +fri fotos +f al +so i +sabot age +t int +p dc +ðŁİīðŁİ Ī +ãĤ Ĭãģ +ji o +endeav or +in sig +commit tees +she arer +me tz +mar rying +h dd +g by +fre t +tri sh +pu l +scrip ted +sa ki +l w +ke ye +shim i +nan aimo +ca h +à « +tem pered +ici an +du gg +dish washer +air field +s rugby +gr inch +y st +r ms +mahat ma +lan kan +disc ar +dige stion +no des +l ls +om ic +gu tter +tis garh +feder ico +election day +bo he +master card +fire ball +âľ Ķï¸ı +oy ster +p ong +do k +en route +m vc +beat the +ali stair +shu b +sh aming +cherno byl +ghi bli +the s +pin ion +d bs +sal ts +ic tion +epi ph +nc pol +in convenience +whit ley +inspec ting +wood ley +wi ener +skil let +no les +m ca +h ina +a sha +willing ness +well ness +tam ed +show time +dis advantaged +ber nat +us n +mission aries +coun selling +arrog ant +quant itative +leg alization +ho dge +energye fficiency +cameron dallas +pos sessions +p bb +harris burg +v g +hindu ism +happy thanksgiving +fi b +re acting +tweeta picture +pol iti +mu ppet +hur rah +pac e +coast guard +guar ded +as am +par ry +fore very +x q +oom f +ke anu +j ind +ri st +customer service +sac red +ðŁĺ º +ton er +occur rence +mat u +val dez +red d +is ak +power rangers +pe asant +raj ini +abra ham +e mil +car do +tr il +hair styles +obsole te +sam pler +direc tive +delavin kisses +ver ton +glo s +sp ay +paler mo +com ets +man ziel +chicag of +ski pped +pic torial +h ant +b mi +a ol +re opens +pad dling +devo s +fra ud +bas eline +que ues +sp ired +sn are +eu ve +descri ptions +daisi es +ca ching +gall eria +tri mmed +stin o +recy cla +ic ular +bir ken +raw lings +fli x +chic as +b gt +lik eli +argy ll +thel ove +ga ston +bl anca +ha k +f one +sailor moon +h aci +ima c +fl yn +de can +bel les +ap ic +zo g +taun ton +con stance +lasag na +ker nel +in ka +har bor +collec tively +calcul ated +av ille +shil pa +pur du +gi mm +fun er +a est +pembroke shire +nighting ale +n unes +hyper tension +hu bert +sli ders +infer tility +comm ended +transat lantic +metr ical +!! @ +Å Ł +ss g +bac ca +inver ted +fun factfriday +it ans +albu m +acqu ainted +ri er +whel an +sar ab +mu e +snoo ze +pi ff +agre eing +sp itting +jer maine +n ye +âľı ï¸ı +am bush +ze ph +con greg +univers ity +s app +wann abe +pat rice +ib d +do glo +fri dges +sun d +king ston +ar gon +kam en +hardro ck +ds ley +do lores +ì ° +ota ku +pi ping +be having +âŃIJï¸ıâŃIJï¸ı âŃIJï¸ı +blue bird +an sari +teapo t +fire work +cro p +log ans +ty ped +thick ness +ig ers +c fp +dys functional +contra sting +et ty +aston martin +tx st +dra grace +at tributes +marath on +manu scripts +john stone +ðŁĺ± ðŁĺ± +bo er +ay u +aru gula +poo rest +con du +assu mption +anag h +no h +delav in +sit ter +g ö +mor ow +kick start +com i +gl acial +ghe ad +ba in +ker shaw +en dof +fre ud +om at +i af +hu g +sign up +each other +defin ite +tu bing +shak ira +ðŁijı ðŁı½ +uu uu +sw in +sham bles +ol as +sk ell +brit ain +kn w +clu tter +om y +j ens +hang ed +city scape +scra ps +un locking +dead liest +er no +breast cancer +a it +inspec t +fu ri +ðŁĴ Į +ku d +ju le +or ah +mi ds +m dt +bur gring +r attle +pu sa +stal k +cle ans +iss ance +z ek +worth it +nam eis +musko ka +council man +urban art +bar rac +un solved +tu l +g ita +white board +soy beans +em ent +cont i +saturday motivation +conveni ently +doc king +t ado +âı © +sp ino +puppy love +po f +fabric ated +robb ers +adop ts +ti fied +kk r +indulg ence +notic eable +macqu arie +chap el +sensu al +ki ko +melan oma +lore tta +li ance +ab en +sp lus +ga al +ac ele +lib dems +compar isons +ðŁĮ µ +rhy thms +mer y +en capsul +nap ier +ðŁijĮ ðŁijĮðŁijĮ +ðŁij IJ +plat z +fre sno +re formed +ran bir +el it +the best +bhu shan +vin nie +impro vised +s ittin +re created +e ba +ec ker +ac rob +pon te +cor d +gi ddy +eur usd +fe ver +intu ition +gar i +dum mies +bud weiser +amend ments +te tra +sch nit +ay as +mar ys +ci st +k ani +ker mit +ðŁĺ±ðŁĺ± ðŁĺ± +tin ker +strol ling +di visional +niger i +omin ous +menstru al +kar ab +k hy +bw fc +pan handle +l illi +well er +stra pped +son the +transfer ring +ethe real +sne aks +ru dol +gab les +jac king +cin code +for tune +canadi ens +con for +ab normal +frank lin +tit a +mu la +persi st +cu ties +ki el +ðŁĩ± ðŁĩ +her mann +aw k +fi asco +ko to +we ta +hi ker +budd y +preven tive +mcgra w +game boy +forsy th +top shop +si ob +sad h +in tram +follow art +so aps +dragon ball +ou x +morri son +๠ĥ +lu bric +adul thood +morri sons +âļ łï¸ı +her mo +ta ka +stall one +mis use +team gb +ra gha +con fined +at y +hom ophobic +nw o +sky news +ho ya +ac rosse +wi iu +pur ée +jed dah +ðŁ¤ § +advis ers +ph ine +an is +scrump tious +ë° ķ +c ke +vin y +ter m +s dc +o do +home school +vas c +leop ards +debor ah +illic it +cur ran +as roma +nau ght +mar ig +brand i +em p +ðŁĺį ðŁijĮ +î Į +su spend +lu z +initi ation +sch aft +jensen ackles +craw ler +post doc +des ks +trail blazer +den omin +tri x +no ise +po et +± ï¸ı +s mug +vol atile +proof s +pharmac ist +sardin ia +mash able +kim chi +co ed +schal ke +doo dled +c sw +sh ur +ro x +do k +chris brown +mathemat ician +ab ound +ang elic +rock ford +d ole +yor kers +ms n +g man +xavi er +bor rowing +mark ings +longh orn +k ja +diver ted +mm it +euph oria +ay yy +te a +pa h +ck i +un cut +li ven +ky ung +fan art +mer ing +red ding +amo vie +gri di +c thulhu +schol arly +ju dah +th bewithyou +eu calyp +ðŁIJ ķ +hert fordshire +cour troom +by u +auc tioned +ple ase +mar cia +ê° ĵ +succe eded +el as +arvin d +t lot +saig on +re tt +ra kesh +fd ny +as en +se bring +gladi ators +you know +v lad +gol a +par ap +ÑĢ и +sab cnews +one team +oh l +sun e +ri j +cd c +star gate +run down +plat o +ph c +chat ter +ra viol +mn f +mand ala +li et +ภķ +mari a +hun gover +consoli dation +fer rell +tradition al +ilove art +gal ap +ðŁı Į +que zon +espa ña +ðŁĩ¨ðŁĩ Ń +ho bby +steam boat +mali gn +guil lau +pro hi +its me +íĥ Ģ +in scription +al z +mari an +k ade +mm on +adju sting +ne sts +intern ally +ci r +vik ram +mal ala +k ph +fel icia +the real +cap tivity +at is +marcor ubio +kale ido +che v +mano j +le more +gent ri +vi ps +tro pe +" âĢĶ +pair ings +mal nutrition +fr ay +desig nation +brun omars +az e +tor rential +pan zer +ga il +under the +the ological +schizoph re +dazz le +freder ic +mo par +ad illa +so ggy +ra un +medi ocre +colo rec +i fe +p inst +blu ef + ² +world water +gir oud +clar inet +ad olf +tar antino +receip ts +assu mp +ðŁij Ł +coffe es +âľĬ ðŁı¾ +du plex +s of +r x +lin o +timber wolves +pan dit +mo tm +e ga +ay ama +ach s +outsi der +ll en +co er +til ly +cheese burger +ma ds +ple dis +emp ty +national parks +az iz +p mi +jun kies +f ener +sq n +è s +gener ation +cleop atra +bhuban es +mosqu es +ty free +popp ins +tw c +or well +n age +ka whi +hol low +dal ai +¨¨ ¨¨ +ou ro +m health +gi on +az o +vis as +reneg ade +re ic +w sop +ðŁĴļ ðŁĴĽ +e chel +tox icity +mü n +bun k +stimul ating +asth our +\ ' +ep h +ende mic +cn bc +shrin king +peabo dy +michel angelo +can yon +wal e +su mi +si ders +inu it +? . +profession alism +dr acing +plat oon +p ons +out bound +maple leafs +de sol +cen cy +a than +ver ma +ru bbing +ok an +ðŁij ł +mull ins +authent ic +Å į +alman ac +ga ia +bb q +on imo +ke h +ty a +tou ts +y av +re posit +, . +wi ght +se eyou +cal lof +done sia +bar gaining +gr anth +sd su +amphi theater +p su +re watching +wine tasting +peak district +dete cting +thur man +phe e +èª ķ +u mich +re r +sculp ted +go le +name sake +ðŁĶ ģ +serv icing +bau gh +pu gh +pen cil +dar th +munch kin +at orium +ten ers +sun y +rolling stones +mag ing +star rer +i dris +fe instein +ag ron +âĺºï¸ı âĺºï¸ı +supervis ed +chamele on +aggre gate +succe ssive +mo gul +inst yle +pol dark +custom e +ohio state +ha ya +ci des +broker age +angel ou +fifa wwc +de forestation +al ton +pam ph +hu gged +ho bo +change able +ku ber +bur roughs +demon etisation +cape cod +vers atility +or ice +le ila +womenin science +tu a +he dges +embarrass ment +ali fe +so ars +ni ghter +hy mn +gi pp +chas u +tech s +ni all +k illa +hi ka +cam els +valu e + ¢ +sc oops +mah moud +clu sive +adri ana +pac o +oz il +un as +transl ations +whispe rer +s bi +bu xton +bio tics +indi ffe +ken ney +k lar +et ching +barra best +inst ability +se ine +vo tel +blo gged +whis key +my space +t ant +lan dia +give back +illu s +aw ak +ac ab +f bloggers +cloud computing +blat ant +syri ans +band ra +sty n +an em +ke ted +kar thik +barun sob +pin ot +gu bernat +gay e +arti ste +i fied +conven tions +hu an +geni uses +eeee ee +fol ly +somer ville +pride month +ðŁĩºðŁĩ¸ ðŁĩºðŁĩ¸ +chemo therapy +paul s +bak ar +ìĦ¸ë¸ IJ +taiwan ese +fol lo +c ss +re ign +nn nn +fla un +catastro phe +iti es +frag ments +extre mists +ym oun +car men +eze kiel +conne cting +se h +man ta +remodel ing +we ymouth +at oms +ce m +ne well +lu mi +the open +mo c +mili band +g land +z shq +mag gie +mani acs +m sp +ad y +cre ams +le anne +e sta +py g +af finity +pray er +dun bar +ligh troom +ac adi +wyn onna +roman tic +state dept +sick le +wh os +lam o +et our +fin ity +shru b +shar pen +pun dit +ed on +af ore +mar s +jeff ery +ter ps +medal list +kath arine +accu sing +ta z +roy d +from home +confron tation +alle gh +ðŁijī ðŁijī +refresh er +ran veer +never land +jo jo +lu crative +en am +ca ver +pa edi +man jaro +flu ids +the ssal +oppre ssed +mu ss +joh anna +Ø ® +cn g +buil dthe +sett les +s ith +fu ego +cl amp +ar ag +pay er +ted x +mand y +inter stellar +fr c +ch and +b cc +mo lo +len til +johan sson +grims by +nature lovers +ðŁļ¨ ðŁļ¨ðŁļ¨ +shin de +x in +international dayof +transiti onal +sat a +cad dy +wo d +if u +ha ys +holl yo +j ang +ir c +co im +grad able +" " +ðŁį ´ +ঠ¾ +a el +n yo +west lake +time out +sof i +phenom ena +cultiv ation +ag no +un armed +so t +con j +gen o +royal navy +nutriti on +fair mont +ti relessly +sn g +re ty +mic a +lu cent +slo ane +droo l +riz al +od ell +critici zed +. '" +la ze +deser ted +co der +pra s +l illian +itiner ary +dav y +an ap +whi pping +hobo ken +kare ena +çľ Ł +vi us +ter n +nan tucket +mis understood +bu laga +st ant +chin ook +z am +reli es +d ss +ed mond +sket chy +m ell +fe x +rec tor +dist ill +day dream +wine maker +ri pley +billion aires +hel ene +ati f +cul prit +bertr and +wou ldnt +ma pped +v ak +gla dly +parliam ent +kidlit art +ware ness +goli ath +âĨ ĵ +view point +tat ted +fu ls +dor sey +ang lers +li ds +ki ya +bow les +be h +b ite +compati bility +ance stral +pro x +beha ved +gubernat orial +ch field +sab an +z h +teen y +shibu ya +holli day +pan cy +âĿĦï¸ı âĿĦï¸ı +seun gri +? , +ðŁĩ¦ ðŁĩ· +im itation +impac tful +any i +gene vie +añ os +bate man +gli der +af ar +ra sheed +effor tless +sh war +dach sh +er un +at os +kin i +ch d +kha ki +k lin +felici dades +bel o +as l +to ppers +fin ley +stac ey +rigor ous +kar ting +le ppard +car michael +be ret +c se +ak hi +mer ingue +ab an +ha ke +ger i +er jee +re sto +comm anders +pr it +fl or +ad ven +ex termin +remain der +å IJ +es g +martin o +lulla by +| @ +mi gn +in store +big bang +cor di +cau ley +ante bellum +dg ate +cro ck +span dex +scaf folding +ore os +ê°ĵ ìĦ¸ë¸IJ +pom ona +ma uro +uni versi +re mi +af ootball +t ant +sm alls +ne h +worl do +tropic al +mor ph +jav elin +gla r +arqu itec +reminis cent +tu bs +spide y +make u +syl la +progressi ves +blo t +shor ten +keep in +ch ak +ang st +super food +decad ent +ston y +neuro logical +ar boretum +ann ak +fe ma +per cu +dis respectful +small biz +lo x +co om +c sc +bs bi +pre valence +him ss +esp an +mo ga +fr ampton +sky map +mas se +levi athan +( ). +noctur nal +car ameli +ang or +amne sia +outsi ders +she alth +rhin o +ant ag +ag io +ðŁĴ° ðŁĴ° +take me +kab addi +c si +m sh +coch rane +thessal oni +sil a +ha us +du sting +obe se +mack lemore +mani sh +len in +m dc +gro wn +shef field +s rs +ke le +car son +ch um +dah lia +can tore +opp o +how ling +cyber crime +sur realism +sc ran +fa iz +thre n +rac ists +r out +pk not +se mana +sin i +mc cull +ma chi +alfon so +y b +sar dar +kend rick +den g +reci pro +on f +doom sday +bri bery +custom iz +art is +c pi +ðŁĻĪ ðŁĻĪ +sla va +let te +en s +âĿ¤ï¸ı ðŁĺĺ +cra yon +ad an +tr c +migr ate +simp son +row ers +king sley +farmers market +shee han +ne phe +bor non +car ton +mic key +all ure +u lu +sli pknot +heb do +gui do +dog celebration +online marketing +acceler ating +) .. +origin ated +macar oni +ed tech +out field +mit z +disc us +adverti ser +man or +ha shi +descri p +cap ita +ful bright +recep tor +con n +con ey +spion age +r attle +pre st +u li +blog post +acker ay +) âĢ¦ +red velvet +mat th +inspir ing +b sd +ker ri +po con +mil lar +re pur +accent ure +ä ¹ +ram bo +ragnar ok +dele ting +british museum +pat ory +leip zig +flori an +sci fi +in ers +br ate +yo y +melis sa +ab er +ma sa +po te +mosquit oes +transpl ant +r pa +; )) +bast ille +yl an +joye ux +melo dic +cap tions +atri st +roch dale +gott i +pew die +cuties aturday +who is +aqu aculture +tiv a +sp el +he ss +ha ji +fred die +co per +brand o +v k +photo book +* , +my dayin +micha ela +brune i +sr ini +in te +Ä ± +de ol +d fc +separ ately +bun d +ve sts +to c +me ck +rein forced +constra ints +car roll +sq ft +re ver +cam per +bird man +in action +gener ators +triumph ant +pe sts +o vo +gy pt +al amo +sc aled +suresh pp +sd n +is mo +gi os +) @ +justic eleague +restaur ant +gab i +den gue +next gen +exemp li +ap ex +inspir ational +down side +kid z +u pl +et na +alvar o +fel dman +bar net +m ha +es ch +bloo ded +>>>> >>>> +kan i +ho fficial +casablanc a +bir ds +ty ga +sw amp +o day +new castle +nb ap +ci sion +cho ols +af lo +ne p +mon ton +ak b +super model +down time +th os +sc wx +snoo py +ag greg +yo ke +nor cal +we tt +prolon ged +me tast +beat er +f ta +t lap +disgu sted +y h +voice over +itch y +ip c +ðŁİ ¾ +phe asant +stra its +ram pant +j g +fer til +assu res +fortun es +sal inas +liz ards +kett le +i bs +cyn thi +he g +mc cr +soccer oos +happen ings +cor den +ðŁĺĤ ðŁijĮ +t ches +egre t +wolver ines +congratul ated +ho gg +bott ling +wr i +fer ri +bo sch +af ire +og den +s jo +j dm +sv t +con tex +tol lywood +min k +me se +super sonic +op oulos +å ¸ +âĶ ģ +knuck le +gu ise +gam i +chu cky +z inger +radi al +compla ined +bo da +fe tal +discipl ines +cor ro +ðŁĩ®ðŁĩ ¹ +op ted +filtr ation +ad nan +em cee +mi stre +insom ni +fer gus +tra jec +on don +med tech +tanger ine +madra s +gru e +cab s +z hu +sureshpp rabhu +insul ated +day swild +pp m +band ai +v day +s ff +squ id +lo thing +not dead +expre ssive +cu ll +ala stair +x u +up front +fish ers +en es +um d +dis missal +sti er +sel s +lu st +re active +prote ster +eyel ashes +al im +goo de +gre eng +da ir +com pen +anush ka +proto typing +ma pu +bear ings +ðŁIJ Ł +for me +bsbi botany +timo thy +out skirts +am bed +are tha +wend ell +stre aks +ni m +k pk +sne e +fit ter +quo ta +p ate +win ning +ðŁį Ń +sho pping +ma inst +cul ver +ste vie +mcfad den +counter parts +gren fell +fol som +dor set +tech crunch +⬠ħï¸ı +tip tuesday +us l +tre x +geor gie +ranveer official +lic ks +se wn +k f +' âĢ¦ +jap s +p ate +orth op +fe sta +stra s +mon tal +hammer smith +fore most +wido ws +mad re +ite z +mito chondri +lig ans +z ona +cari bou +m ss +andre i +weather channel +gh c +: ... +ta ft +awe ather +al isation +bru tal +bliss ful +nik ola +mal icious +q m +mpg vip +bro die +bl itz +applau d +dri bb +v ague +dog go +transl ating +interpre ted +hat ched +ge tyour +benefici aries +spar ring +caes ars +aw illiams +la hat +bro ke +ti mp +virtu es +rel ying +pie tro +k tn +ici sts +pab lo +lou i +a ag +pn pp +cha st +pul ses +fini sh +usair force +type writer +thomp son +dog s +ut to +ãģ į +sand al +new ly +do ge +z w +wan kers +ne gr +mu cha +determin es +black fish +sk unk +mu ps +instru ment +phy to +daysto go +skin ned +hai der +con ten +ðŁIJ¾ ðŁIJ¾ +we iler +undoub tedly +chair ing +wall is +sh ard +zind abad +adul t +absor ption +pre sto +deplo ying +drum mond +battle front +seag ulls +how dy +juda ism +des de +part ition +âľ Ŀ +no logy +national bestfriend +lesn ar +film fare +co asts +christen sen +ac an +mb u +co pped +ru bble +sw c +fun nier +far ther +where as +nano technology +with stand +pil low +bow ers +to pe +it ly +con fit +ma kar +comfor ts +bo sh +cli pper +bal la +sti k +mil b +safe guard +musi que +eas port +ya z +pad ded +bad er +fore ign +chop in +archi ve +o ka +tran sporting +tml talk +aj it +consequ ence +sc roo +ff o +collabor ated +pug chat +ye mi +jav ed +au burn +o of +ma w +sau cer +miti gate +i les +evangeli st +ter ie +re cl +indic tment +cat a +bright ness +may the +whim sical +un lv +key word +cu min +med way +west world +tra w +im posing +form ity +coul ter +ab z +ny pd +grass i +kel sey +qld pol +clock work +f dr +di anne +âĺ ij +ad h +p ann +bra vely +ae ge +un lawful +ver di +pocaly pse +phar o +kar la +reson ance +ma stiff +la dak +bu u +ma iled +hi i +craw ley +tor rent +mach ado +liby an +effort lessly +fal sely +q vist +ke ef +craf thour +cheri shed +val kyrie +s ari +kal amaz +be he +ðŁĮ Ļ +th im +ro ddy +col trane +but chers +ach im +wk end +awk ward +cab rera +:) ))) +fran c +decl an +con dos +a ja +pandor amusic +char ter +ph ill +mon trose +hatch back +handic app +gre aves +eucalyp tus +ut most +t son +bur ton +mid wives +in cur +ðŁĺį # +moo d +compre ssed +tom a +must ang +mo g +as ana +te stic +sho tel +in sol +cor sair +nh q +ben ny +sm ma +kap ur +in con +jon as +ener gies +don al +as ad +se z +n pa +archi ved +stimul ate +do p +hy d +gri eving +ãĥ Ī +ron a +why te +tree house +ss ell +sand ro +ko bo +ther most +se clu +hi ya +ge ez +mam as +prisc illa +flav oured +fas s +w old +maker space +cospla y +p tv +happy valentinesday +sequo ia +love craft +gu an +d tm +ci i +yoko hama +pos thum +re q +ðŁĶµ âļªï¸ı +galat asar +dol by +hamp tons +disturb ance +stone henge +ok c +disrup ting +month sary +jun gle +head lights +du stin +micro sof +happy mothersday +ko ko +gra zi +te sto +na idu +mal ay +ari al +ru mb +ab oo +har man +tra pe +spo ils +je ho +go dly +lock screen +z un +pi ous +ma gento +l enders +prob able +corpor al +m our +aw al +su a +call me +ton ne +go vin +devast ation +x j +gear box +war lock +per me +it ate +gaza underattack +du val +paras ite +clement e +le th +i va +fro zen +tho les +to bin +cair n +s ill +luc kiest +conver ts +st ale +pan cra +euro pale +wis dom +sch ur +ì ¶ +verti go +bi j +u bc +nu re +righte ousness +mt c +factor y +ver st +revers ed +hur i +hee chul +fab er +ar r +ul ous +ven om +ph at +green ery +bra dy +à ¦ +: (( +never giveup +di sha +mo ta +health care +dun ham +dex po +den zel +bb ins +f ics +wh am +mc g +eli an +wat a +str alia +tel lu +pe sky +spin off +ar moured +re acted +do fficial +te du +sag ar +mor ally +paralle led +fi os +dow ner +dau gh +re do +world cup +tari q +bar ne +glaci ers +oc cult +barbar ian +her mosa +!! !) +y ur +inter nation +p ss +sit u +p int +american air +sw am +dopp ler +ðŁĴĻ ðŁĴľ +cincode mayo +le van +hell enic +mc ne +ju di +yu h +st x +qu are +ðŁĺĤ . +sti g +g els +mot ley +hard work +euro zone +e ad +ç¥ Ń +seab ir +ci us +la id +alpac a +presu mably +pewdie pie +boo ted +am ari +tam ine +sol ace +bar row +acade mies +x ian +om ination +dun geons +b ma +de ity +ai k +stab il +hir a +affection ate +ving ne +new port +ãħĭ ãħĭ +thir ds +re tains +aroma therapy +ski er +ni ma +do pe +cr inge +con domin +to or +anim ator +sar aj +seas cape +minim alism +lake shore +calla way +berg man +à¤ Ĺ +whisp ering +stupi d +ri ghtful +requ is +ir n +se va +ut pol +tuber culo +squ ish +de but +govern mental +christ ine +all man +weap on +s ito +bur i +lo lita +leaf y +fu ch +tin ted +mck en +a hahaha +ðŁĩµðŁĩ ¹ +repe al +ne gan +ðŁķ Ĭ +tail gating +game insight +ðŁıŁ ï¸ı +yaku za +z t +ti ring +pro posing +bow lers +tra itors +ak shi +cler gy +cit o +up sets +tu scal +symph onic +sil ently +shu ff +black well +ðŁĺĤ ) +ko be +rober to +ri dg +dc u +mer ino +ft p +east side +. ~ +nb l +mn leg +ts for +frau dul +ca pping +in my +gymna st +ston es +ss in +twe aks +shag gy +oak land +dem sin +sang ria +mm va +hen nessy +down ton +ri ghtly +in it +aga ve +ob last +northe ast +friend ship +dal a +tro phy +ðŁij ½ +mag in +margar itas +ê · +ww fc +fa sh +di ke +cu d +char t +ðŁij ® +refuge es +jop lin +n cs +imp y +firm ware +pas cu +flam in +health tech +bell letstalk +w aka +ol ls +la go +co wan +bombar dier +sh ome +ðŁĻ ħ +mc master +na ve +well s +u ta +tell ers +mis fits +kap il +face off +af firm +a pro +whit epaper +super yacht +speci mens +al located +... , +- __ +ka w +dachsh und +djo ker +s work +qui ere +or um +ðŁIJ ł +som m +c mt +ingh our +skin ny +lgb ti +gi ggles +break away +resear ched +par ity +my al +ms l +re tained +si vity +make inindia +sol ves +defam ation +wal tham +sri racha +road way +concep tu +al in +iw ant +å Ī +del ft +tender loin +ga ins +faul ts +sw ire +st ellen +pol lo +dy ne +bornon thisday +asdf ghj +sq l +sali m +advis es +vo ip +ìĹij ìĨ +un touched +she il +ontari o +uph ill +so bre +de shi +nov ella +du tton +craw fish +ا٠Ĩ +ma a +tw ine +kal in +ðŁĩµðŁĩ Ń +ye ss +brook s +hoo siers +ton ka +umbrel las +ay ers +ate am +acqu iring +su ction +ä n +wi es +tari ans +soci o +mat tb +shepher ds +o so +charity tuesday +s logans +ninj as +al bat +by te +bash ir +trampol ine +mydayin la +i ja +bas el +ror y +gol die +fi rec +un noticed +pecu liar +sch a +ker son +mour ns +liquid ity +qu ipment +hi bs +ar s +aeron au +slide show +sla bs +delici ousness +sk itchen +hta fc +full erton +cre ighton +aer ob +procrastin ation +az ores +white hall +uss occer +medi ation +djoker nole +and me +um en +noxi ous +jo ss +ili fe +anni vers +sudan ese +et res +under mine +whole foods +diso be +kor i +ade le +eli z +can ti +al on +gymna sium +sarko die +meteoro logist +yl de +ste en +stamp collecting +nas al +lo tt +fran ks +ex ol +ack i +good year +animal rights +y les +vio lets +mm es +s thel +ra pping +tu scan +wai ver +tur ner +eat local +northe asthour +anim ations +tom morow +t sh +ff ame +bra e +pe tron +glam our +br yn +d cs +bal es +ðŁĶ ¶ +bro v +bre v +b ons +physi que +car ne +x e +elix ir +vol ved +l oma +ìľ ł +æ ĺ +van u +ri gs +bal ance +va res +bon ita +sprink le +perfec to +di on +le ak +calcu tta +o ba +d ma +c mon +tun er +pneu monia +bo gus +apolo ge +cl ough +bor ne +)) )) +revi ved +o varian +ner f +c legg +fan fest +cho u +reali zes +mc n +li gu +leg alize +just saying +for ster +bo sni +k hi +in dom +hei del +en cryp +si ss +ed di +mar bles +brisban e +y ing +pre paid +wal sall +cooper ate +orche str +mar isa +ho wie +che wy +bren ner +andro meda +e gan +sto cki +cav endish +ag an +ban o +de ir +go g +bl k +re thinking +ch ig +rhe u +sni p +p eng +semin ole +m swx +an nex +lyn da +lewisham ilton +cu mul +tb l +dolph in +agu ero +........ .... +pre lude +at our +gr anger +too ting +ro tun +dis ar +home items +da res +**** **** +ðŁij Ĩ +compre h +jin x +as well +iri e +circul ating +ðŁIJ ¥ +over board +cultiv ate +rhe tt +oriente ering +ca k +bal kans +s itt +jas min +britney spears +ro tor +se aling +g bc +oc ci +f as +eman cip +com er +war time +tic kle +son ny +pac es +log g +at rix +sr p +g win +do bbs +uz be +the wanted +dru sh +ex tru +m icky +honore es +dar win +re dux +mm j +ram i +jalape ño +io c +do ver +ju ju +whit ney +s eng +en ly +au ch +archipel ago +vigil ant +man gal +wil dest +parano id +hal i +bb ly +sanc tioned +real ms +con co +u ddin +c sk +play time +libr a +sav ag +oc tane +rec tan +re turn +par rish +mor rha +cc p +c mu +sa iled +se vent +ro sie +pil ing +he w +boar ded +seg ments +neph ro +( . +cr ats +bak es +ðŁį ¸ +back tothe +sibl ing +kirk land +ke o +gu wa +bre ads +ðŁĺľ ðŁĺľ +t q +haras sed +ga u +wil bur +j isoo +ep er +li sam +tri ppin +sh ino +ru kh +beast mode +cho a +inst aweather +rich land +gar i +fe z +cowboy snation +fur suit +k run +a en +sycam ore +se gun +ent ennial +di h +o ax +demsin philly +ðŁĻ Ģ +sn hl +pen nies +pass words +ma kin +ty e +d eng +kni gh +jeep life +hel pline +a for +zz zz +ste amy +pic ker +iter ate +happen ingnow +ki b +bloom berg +martyr dom +bul ly +assor tment +a hora +zo e +no i +illu stri +agar wal +p sc +electr onica +recruit er +gar diner +rad ha +naf ta +dot net +pi ero +geor g +bel s +ðŁĺĤ ðŁĺį +tuberculo sis +run nin +mor is +haul ing +ev oc +bre thren +sha ir +frame works +a stu +ri gid +ku ma +kre me +jin nah +insu rers +ny u +f ere +nol lywood +good vibes +- ... +toi le +sk ril +instaweather pro +cze ch +pa vel +one piece +nike plus +fi let +cav ity +ðŁı½ âĢįâĻĤï¸ı +ðŁİ £ +dra stic +dail ys +siam ese +re bu +oste o +lar k +f re +sh elling +p é +glad ys +ðŁıĢ ðŁıĢ +gusta ve +submer ged +grand stand +att u +won t +f pv +b ley +jon i +ang ames +weigh ted +al ou +ठ¶ +les bians +f j +anni es +am l +dor ia +dav in +be ta +can c +madewith unity +ha j +bad lands +mu l +blu ec +pa wn +cov ington +neuro logy +htt weets +dysle xia +thel ove +ne at +fork lift +autom ate +une ven +monte ss +he in +ha g +rel ics +competiti veness +can elo +mar tens +bullet proof +sk ittles +g ya +pri mo +americ afirst +woo o +abor tions +?? !! +ma che +ld ers +rl ly +preli ms +direc t +cour se +swa in +super cell +ec centric +sting ray +ple ts +wil cox +west in +okan agan +kir an +car bo +bomb ings +ra rest +bo h +gaw d +di gg +mo ana +enti rety +en closed +dodge ball +par ton +milky way +at r +thorough bred +re ally +qant as +epiph any +ine e +aero smith +spi eth +ar thro +ell ini +du bu +bra ving +âļ½ âļ½ +re structuring +illumin ate +equ ili +mp i +ash ton +pony tail +ma scots +flat tering +cru m +ast a +à® ° +stranger things +bar nab +ر ÙĬ +make shift +got cha +will am +cho irs +kilom etres +gho sh +eu than +dol ly +un ning +the ar +cre we +w sw +j ace +dis miss +ke an +ho ta +kh at +~ > +thir u +ren dez +hart man +tee ssi +cas ca +z ah +hydr ange +fo d +aw p +mzan si +thick er +nago ya +ne va +sti que +cast el +dam ian +there by +ji ang +ale k +music islife +ra q +calla han +gou ache +somal iland +sean hannity +ra heem +lo se +elo ve +whar ton +rectan gular +illustr ating +har ne +auti sma +scra pped +ell and +decre e +nag pur +ki pp +so re +n md +ma as +gun a +gart ner +bel li +then ight +je on +gendere quality +gi ver +a el +gar ments +ne u +mardi gras +mar sden +ro wer +pollu ted +camer aman +vin od +be asley +cro c +ji u +hollyo aks +anesthe sia +al les +ste ward +lati mes +ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸ ðŁĩºðŁĩ¸ +tic ian +gor ia +come dic +ðŁ¤Ķ ðŁ¤ĶðŁ¤Ķ +nai ve +sli ons +ł Ī +bur glar +ðŁĺŃðŁĺŃ ðŁĺŃðŁĺŃðŁĺŃ +york shi +se ñ +fan boy +lau rel +inci dence +potom ac +rober ta +presi den +pr yor +os bourne +w ku +te me +pal ae +ðŁ¥ º +re boun +itu de +red dish +k hand +coloni alism +north carolina +ðĿ Ĵ +manne quin +lady bird +ta sty +knowledge able +g shore +ðŁĮ Į +à® © +qu aker +salz burg +med alists +chy na +bridesma id +ma ori +ro p +outra ged +in adequate +truck ers +al ana +ìĿ ¼ +ri x +oooo oooo +command ments +lam beth +aa j +eco friendly +bla z +morecam be +boun cy +rou x +rai ded +mi zed +sh c +gaw x +labor atories +ru bs +rest room +consult ations +ca jun +virgin i +so ir +rev ue +ple in +wag er +ç ¹ +we do +growing up +! ðŁĺĬ +face ted +sin ners +ho vering +ti ene +seas oning +an ja +leg go +il is +fla x +dev o +ash ram +mati sse +ker i +go wer +bo tox +mar shes +unh cr +ts m +opti mus +dun i +stu ffs +so k +order ly +n bad +islam ophobia +raviol i +fab er +cre ds +won ka +in fusion +over weight +daily news +assi mil +acol lege +medalli on +kili manjaro +sti ff +tham es +sun ken +th ard +my dubai +hilari ously +han nel +plu mber +fair view +separ ating +rasc al +qui en +necess ities +confeder ation +ll ll +: ] +weak nesses +bron co +ra ffles +el ot +ãĤ¸ ãĥ +advent calendar +ðŁİ ¹ +stra vel +tun ic +k su +im peach +e spionage +! - +di ment +cur rant +bio de +commu ting +by ron +ðŁĴĵ ðŁĴĵ +shad ed +tr uro +cray ons +ar ne +h sc +fre aked +dram ati +fle ek +u cd +marl borough +^ - +cross ings +mal o +black ops +bin ance +cho ked +chen ey +pl o +ge stures +val edic +ryan air +rem ington +v cs +mc kee +ec z +be gs +nail art +mayor of +happy fathersday +war t +pet itions +n ingly +clean energy +bro x +sl alom +exist ent +ab ay +ug liest +tom p +stom a +sel by +goal scorer +ben ji +overwhel mingly +lan s +semiconduc tor +south korea +re scheduled +sk yl +en listed +dow ski +si del +rosen berg +nas ser +white head +pri us +har are +en n +ry der +í Ĥ +mon g +clas ico +transpor ter +po tty +is me +** *** +vic e +sk it +ode ssa +l mp +her n +raci ally +pin oy +paragu ay +obitu ary +go es +bu cha +side walks +angu lar +un constitutional +transiti oning +i bu +gu ys +un packing +oooo oo +black girl +ber gs + ¯ +wordof theday +trump train +thunder bolt +m si +fasci sts +ठ¬ +t sk +collap ses +raje sh +loveis love +migr ating +set back +ðŁĺĬ âĿ¤ï¸ı +t els +safety first +nar rated +jae joong +un answered +lique ur +en nes +dal go +bill ings +salt water +mer maids +lon gs +clap ham +we arec +pic collage +n ach +h ace +pois oned +lo th +ag na +adel rey +guar dia +poli shing +peace keeping +d all +p isa +la pland +process ors +de andre +so bs +p once +dra ins +c be +ðŁİ¥ : +spla sh +meat ball +fon tana +worcester shirehour +ne v +bri sk +b int +ac r +po x +cay enne +skril lex +j fc +hahahaha hahaha +gla s +en gul +tempor al +oni zed +con cre +com pose +vibr ations +plant ers +fer t +criticalrole fanart +t bli +sch allenge +huck abee +munici pal +iam bic +radi os +ne vis +dura bility +mc cla +horse back +inst itutes +ful fill +atta ch +ate ur +ak an +resi sting +illumin ation +hand le +hair care +om ent +macle od +ka iser +g no +bear down +ly f +gl omer +distor tion +z m +san k +roo sters +is now +as ports +ag en +wo ken +st george +ro mper +my le +econom ists +ru to +t will +health and +d ito +ws l +tair p +pra kash +mic heal +h ts +w rights +kat su +fioren tina +defen seman +d itch +var sity +texan scheer +ba ham +sc anned +we il +seduc tive +ðŁijį ðŁı½ +fu e +er win +dav ison +ter ran +moo ds +wool f +re source +@ . +cu sh +ðŁį ° +regre ssion +cur led +la zer +jo anne +ab bott +mo z +down ers +mm mmmm +valent ina +k hair +dream t +cro ok +che k +ste aming +nephe ws +cl eric +as ober +indefin itely +w ye +us news +joy ce +flu shing +wynonna earp +ron do +kis s +hot dog +bar ns +sax ophon +far ley +gas p +decre asing +al way +pe x +l sd +shi ft +p outine +ra zz +rescu ing +ni ko +ho ch +cc l +u aap +n ts +m car +il wx +conqu ering +ket tering +stur dy +delay ing +sto k +vani shed +cath ar +bin gham +in v +ic hiro +he mo +budge ting +[... ] +be ss +sebasti an +slow ed +ðĿ ij +musli m +stun s +acton climate +ve a +se ton +rose tta +oun t +hard in +flu id +ca w +ðŁ¥ Ĥ +yach t +un l +sp hy +provoc ative +or ic +is back +__ _ +nicol as +gy an +loo se +fl in +reb ate +: :: +! "@ +com icon +she ff +down stream +chic hester +beach life +mom life +diabe te +ar ra +van e +ok u +ye o +man go +try out +app ell +he irs +arjun a +dd u +na veen +movi c +soci alists +s back +criteri on +soyu z +k her +da z +yol anda +wine oclock +re ina +one w +leon ard +en dez +u bs +support local +facilit ated +carameli zed +b pa +vuel ta +my tho +m ami +spe are +nbap layoffs +fe vre +nick jonas +im print +c so +craig slist +la salle +gi deon +ha doop +dis regard +w ud +tu c +ma gee +acou stics +ta a +qui e +pol a +cr t +dw yer +dis sec +capit ol +men tion +kn oll +he igh +fin ders +plac ements +l se +indi ra +gur i +madhuri dixit +kingdom s +iambic pent +geor gina +je ky +conflic ting +bay an +aga tha +uph old +dr on +vic ar +ex pat +periph eral +pe ssi +fa f +ance stor +? .. +wid get +pun c +comm enced +beav s +air waves +ad dis +po a +de sses +co den +vu e +ru pee +kar in +spo ck +m sy +ภ° +pr ick +fill more +ti fication +thing sto +sar de +em ile +pere ira +n ad +bright ening +arre sting +wo king +usc g +sp ill +raspberry pi +hu go +ite c +is ma +cuff links +optimi zed +oc c +mi wx +en ka +el ited +afford able +sa kh +coron ado +ho h +at ul +ai oli +jim cantore +accoun ted +vin ay +her mit +groo ves +ran ch +r illa +we tter +ou tof +veter in +ni kov +ki an +fair banks +ram apho +n iti +k ko +ru sty +ne stle +tv xq +shahe er +âĿ¤âĿ¤ âĿ¤âĿ¤ +penn ant +gem stones +dem debate +ðŁIJ Ĭ +auton ews +support indiefilm +mach o +ve x +new sat +ne ti +conce ssions +can died +yof the +mac au +den ds +cricke ters +san iti +mari ano +gh at +ar toftheday +¡ ľ +e gos +gen oa +chat bots +bri er +al labout +mon ty +spi ed +r tr +comfor t +sni ppets +real time +gra in +exam ined +en lightening +tt u +god bless +release the +sing ular +ki ans +ha ka +sor ren +defe ct +mar g +equ ities +d orian +su ka +per l +aishwar ya +pul lover +preci sion +fair way +ne ve +rive ting +vill anova +en com +ak o +passion ately +europale ague +siem pre +x vi +enligh tened +c fr +âĺħâĺħ âĺħâĺħ +wast eland +is f +new comers +emergen cy +amphi theatre +- . +text books +figur ative +tre mb +pe sc +ab hin +ab bot +ac acia +har ds +por sche +kau ai +el isa +car rick +abo u +elli er +be ch +neu tron +galap agos +ru ben +in nis +how to +nun s +sab ine +i ac +clin ched +no tori +fi ves +cairn gor +per i +gr c +ðŁĴ¯ ðŁĴ¯ +mal m +twelf th +di ff +rout ines +marty n +lin den +synthesi zer +nu mber +game cube +fal kirk +byz antine +queu ing +gr ill +scal able +char red +rou ting +her bali +gri zz +ðŁĺŃðŁĺŃ ðŁĺŃ +tol l +termin als +l pc +ab d +war mups +remo vable +¯ \ +vi go +pap aya +ne ve +lov ingly +jo kers +ib les +sse tt +poten ti +pel e +gi gi +sadi q +leg acy +son o +ru pees +retar ded +ele e +par r +fi ance +ey re +say ers +pend ants +mak nae +al bans +adap ting +p ff +pu berty +ji u +ing rad +hypocr ite +diplom ats +phys ical +rob by +bon sai +ãģ · +f att +catal unya +âľ ĸï¸ı +ro ma +more land +so e +conver sions +stl blues +shol m +gra ssy +pra do +on u +assaul ting +> _ +sett es +dis graceful +aph ra +âļ½ï¸ı âļ½ï¸ı +ठª +kil n +goal tender +s ru +philanthro pist +b als +th n +stu den +sando val +dogre scue +eli ons +asse ssed +lar go +hec tares +sh rm +sa if +cle avage +no ches +n ene +fat alities +cur ing +clean ser +al es +p vp +south bank +pizz eria +marsh als +kni fe +an dover +tbli ghtning +sr sly +ou te +digi mon +timesof india +prome the +le bo +f su +wit z +rever e +man as +mam ba +ch ica +gu an +exhibit or +csr racing +d ere +xx xxx +gu sta +story time +ston ey +organ ics +and u +se am +min ogue +anushka sharma +ab a +ðŁİĻ ï¸ı +ugand an +chro matic +as sn +document aries +sh t +ru paul +loy d +k ats +e us +ite ch +me dusa +pan ty +kel logg +et to +talla de +sha a +do st +p ms +mari ana +je ster +croo ks +ðŁĶ ¬ +min danao +ind hoven +ðŁ¤ ª +le xi +tv n +jan is +co te +ãģ Ĩ +ser rano +iw m +ðŁIJ ¬ +k ke +distribu tors +cap u +counterfe it +camp site +ag gie +ðŁĺ ¼ +chhat tisgarh +~ @ +state u +san di +prevent able +cl s +can ne +mm c +i ver +sa haran +pal is +night out +do s +ap ia +absc bn +manag erial +aro se +mo wx +aro sa +ðŁĮ ³ +under dog +remo ver +astronom ers +lent ils +su scep +smoo ther +pend leton +fau cet +e mory +dal mati +af cb +tic us +exem pt +en rol +d heim +ðŁIJ º +restric tion +star fish +sto w +snor kel +thunder birds +she ad +homo sexual +dy n +as li +andre tti +dou che +dom o +tar mac +slu mber +pr onto +first dayof +mini ature +mari achi +argu s +recomm ending +mobi les +in ce +illustri ous +or c +adver ts +gr its +wea sel +pag oda +over pass +gre ys +maxi mus +arma gh +wood land +sun ni +ðŁĴ ī +ë Ŀ +ti one +soci o +ho s +ðŁ¤Ĺ ðŁ¤Ĺ +wind sor +subsequ ent +munch ies +id h +exclu ding +e mi +cu th +z ai +week days +law suits +barn ard +Ø ª +pe tting +net es +mul ligan +pharmac ists +ra quel +e ton +cran ston +gil ded +cle ary +ce ph +ra a +pam per +lombar di +as in +sher ry +pro d +for te +ari anism +buffalob ills +æľ ¬ +ðŁĶ¥ # +uu u +just ices +car ina +nat in +mas low +dro oling +cog nac +cam ber +el ong +r dr +in en +convic tions +am use +tro ck +harm less +visit ation +gen omic +bl and +beno it +chim p +tuscal oosa +gre asy +x po +gil t +se q +per mitted +christma seve +book s +mu e +old school +human right +be ati +ðŁĶ Ŀ +sh at +sculp ting +h wan +fern andes +sci utto +fu entes +endeav ors +maid stone +un paralleled +shou ted +queen of +mer c +band ic +ve da +sel angor +pi le +ja han +intimid ating +disapp ears +cl ich +za ha +w urst +hi v +fod ils +cor dless +aaaa aa +hy dra +bel inda +e els +bu f +su staining +rugby league +no c +brig itte +( ðŁĵ¸: +tromb one +soo the +smo g +ad p +stab le +ing ley +diagno se +ms g +we ss +tic keting +one e +nsw pol +e up +auto psy +adity anath +sun down +river front +si ya +p is +hier archy +dur ango +di jk +ren shaw +he aps +epide mi +david bowie +interne tof +dd i +nation ality +mb ar +air y +win der +w alia +elli ott +c x +bav arian +pl att +an tw +wi wx +sof ter +ne ha +h eller +th and +dani ela +bo ast +degra dation +ðŁĴ¦ ðŁĴ¦ +transform ing +man e +av ut +ðŁĺĪ ðŁĺĪ +vo ter +the e +t ate +pu ff +in door +sop roud +boy ce +boris johnson +wait in +immun ology +ðŁıĨðŁıĨ ðŁıĨ +âĿ Į +street food +liz asober +cavali er +c elia +need le +motor ing +g ato +, ) +ra de +harve st +t ms +jar pad +on ey +air men +v re +impair ment +abhi shek +snoo p +l ant +fam ously +bl ou +s ze +g ander +un touch +tu f +dee jay +col lateral +b ind +ðŁļ © +pin ning +ic n +' ; +the economist +ul tram +worldwater day +ti poff +the i +feed ers +campa ign +sc umb +day weekend +yo m +pe dic +h ough +ps v +pl in +on de +boston marathon +az zy +* _* +con ley +thi ago +hoo o +gal erie +luci d +je tt +gl itz +final fantasy +achiev ers +y ung +peregr ine +op hi +dam es +biom ar +âĺĢï¸ı âĺĢï¸ı +sk c +l ics +fl ank +ar rahman +ho of +uphol stery +t ats +wo z + ¿ +snor ing +ra er +l ju +ap d +pl ating +kan u +im ation +fragr ances +m ra +mor ay +mo tt +im muni +hearti es +bho pal +tim ers +g ata +color way +car nation +win get +si ghs +s ville +optimi st +chate au +olympi ans +ci o +singer songwriter +ny o +fi bers +bur ch +ag ro +mil ne +ig bo +cr amer +ation als +dan ube +pad ma +nor mani +en forced +bre ck +boeh ner +ar den +sur rendered +pros thetic +om a +ha iled +calcul ations +w fa +bi b +fcb live +fon da +west coast +que sts +friend ly +to wie +fit ch +bal ot +star dom +scrat ching +ho sa +thi ka +o ven +stro ke +out post +pharmaceu ticals +hi kari +mu y +af d +fallon tonight +squ at +or u +dra ined +chocol at +ë¯ ¼ +wor ths +ri b +mu j +that s +residen te +it el +boo st +mi gos +mul led +la a +etsy shop +don keys +me k +p tc +flin ders +e hs +ro hit +mu ir +g ad +compos itions +åĨ Ļ +combu stion +i kh +yemen i +wav ed +gar ci +ak os +oo ds +fu sion +se que +s lan +pl ur +kic chasu +shenan do +s ams +worl den +horo witz +with me +mic robes +k ki +ðŁĴĶ ðŁĴĶ +w su +patch work +fre er +y aki +the art +symboli sm +mil er +bt n +ma bu +side kick +motiv ates +sag itt +natur als +serv iced +ps ori +pa ola +qu ig +i badan +gi ggs +ë ³ +sciento logy +si oux +salam at +d res +cad bury +d hawan +ci ón +_ ' +swa pping +maris ka +james bond +explo sives +ay les +af er +s agu +cen sor +tom a +jeff erson +ring ed +par tist +ir responsible +aguil ar +vac ay +equ itable +altrin cham +ac ur +man ish +ger min +schoo led +pu tter +ed ad +nav al +toast y +sol areclipse +dish u +coy ne +ac co +mu ck +mar an +el os +len der +cro ix +worth less +ha ber +gun men +ðŁį ĵ +zen ith +t enders +hur st +hol tz +itali ans +car low +u cd +characteri stic +bun g +av l +u th +sa sia +rs l +red man +neighbor ing +green peace +sti ps +follow party +y gk +en os +omni bus +na issance +chri ssy +secu re +call back +ji hoon +memor y +block er +l anta +daf fodils +bil t +ffer ty +fau st +ie c +nipp les +so g +m nd +jagu ar +bol dly +ab poli +pro position +gun sense +evan sville +cu tters +we go +dou n +do x +stal lions +ka j +shi ppers +j awa +vol o +le ven +pap rika +kov ich +jor di +induc tees +app alling +dial ysis +allevi ate +âĢĶ âĢĶ +pie ter +mid wi +q tr +juli ette +inter mission +haw ks +act ment +one ill +k lin +vam ps +fam ous +cou ld +autom obi +da an +west end +elli p +nh c +mel anch +web series +ton gue +snat ched +smy th +tan gible +sl i +e asing +bar stool +over lay +afford ability +ting ed +ter as +ay ush +wanna one +rh ine +dan a +sh ana +kend al +fer tile +w ir +repl eni +lar vae +is ro +con vos +ab brevi +u cc +hun gry +bur rows +ag er +nav i +mat in +du per +cer n +ma don +ķ ï¸ı +é ģ +tu ps +hy att +sh ep +friday night +wis er +hei di +hat ton +p gh +foun tain +wrist bands +ahmadi yya +aeri al +subscri bed +so los +m ace +sla yed +for fe +dul ce +christ mass +arun jaitley +viol ate +ob stru +ni eces +w vu +idy l +fa ze +pre serves +infr inge +premi ers +inter vals +agen cy +( © +stand alone +di mes +bo er +param eters +ge tit +ðŁĺĺðŁĺĺ ðŁĺĺðŁĺĺ +tu lane +for given +scol l +mb ps +smash bros +rob bi +prima vera +ali st +ghost ly +ay at +ye ats +impre ssionist +ear phones +caul field +wai kiki +sal ute +sc ou +mu ay +louis vuitton +bak hta +ado g +inven tions +hur d +forec lo +stream line +thalai var +ch snews +will ard +t sn +euro parl +cru sher +my sore +gro wer +ra ping +pat ti +g den +sm w +muf ti +kid man +ab r +soun ders +skep tical +ðŁĶ İ +sun dar +i me +fer g +feather weight +ar lington +pas qu +ag azine +wearab le +nati c +mccl ure +inter mitt +hor de +six ties +car te +bha v +ze al +experi ential +ador ned +som mer +eno te +hypo thesis +stin ky +pro to +dead lines +vo gel +mus ings +monc ton +gu ter +f le +aci on +voice of +ta sha +inhabit ants +type face +s ba +bts x +ðŁĶ Ĵ +wor x +u hc +jo ko +cell ars +gor o +continu um +... & +weather cee +ha p +sr k +ris ers +lonely planet +un named +co eur +ðŁį Į +the world +ili ke +fa sten +ami go +ri ba +ramapho sa +staf fers +had ley +? ?" +fi ore +sal ut +hu ff +bez os +Ñ ĭ +ra der +kam ala +in line +fill ers +um atic +all in +shat ter +re in +o ku +ch ases +fla gged +baby metal +water stones +ts b +cut out +op hel +aam a +rockab illy +sto lic +jet blue +ich ick +down ton +uzbe kistan +pat na +la q +gr ange +) _/ +subsi di +sc p +newsc ast +it sa +twee tyour +e mor +archae ologists +uni fication +por ta +q x +protec tors +pro hib +charis ma +car tag +ren fre +scul pt +guwa hati +de ma +boo p +unf pa +dex ter +lay la +alleg es +sou ps +never again +l ys +cal c +bar oness +visu alize +ger ber +absor bed +i ers +a han +fon tein +detec tors +verst appen +sv c +formul ated +ac dc +li x +in competent +bh k +lour des +water house +snow ed +appreci ative +sig ma +lizasober ano +pen ned +pay check +tall inn +fanc afe +par isi +av alley +vi g +ru fc +hard ship +so cute +po ise +ì ¹ +roth schild +k ly +???? ???? +l hp +il ay +f hs +am ad +ide als +brad bury +bal boa +nic ot +kid nap +wol ve +tas manian +op t +matthi as +ãĥ³ ãĤ +super markets +mylittle pony +me lee +li ster +gr oun +fe dora +kind ness +en en +bra hms +¯\ _( +ros well +mar lene +ic u +re formation +or ail +he brides +dispar ities +terrac otta +swal lows +re id +influ encing +flu or +den e +tum our +blon des +thunder bird +sh eva +moga dishu +ka b +cre eps +i ving +ene ed +anno y +âĶ Ģ +intri gue +enqu iry +ar aj +tur al +kuber netes +end lessly +divi dends +tor a +ti sh +commemor ates +un ra +tri b +pon ty +ne m +diss ent +brew ingco +ðŁĺ ½ +nor mali +bi of +( ... +chil len +ì£ ¼ +mell on +av is +mccor mack +ing ra +enrich ed +custome rexperience +testo sterone +snu g +sett i +ger onimo +inqui rer +bre aches +very thing +bloom ing +mu ra +dispo s +bi de +de va +shade sof +in trin +sh ev +s ven +nayanth ara +gan esha +c ws +ber ta +label led +use um +nick named +ma han +car uso +ap ur +ðŁij Ĩ +w q +orphan age +discar ded +mag nu +lu e +je on +bridge port +pac ing +mercur y +( ðŁĵ¸ +marx ist +amphi bious +transplant ation +stit ching +then burg +gradu al +ãĤ Į +ro ft +ma ils +ine c +guy ana +dopp elg +ver o +re write +head less +harb augh +gate way +car sforsale +sw i +st is +mach t +un de +sura baya +stap leton +nur turing +mil ner +ya o +lma oooo +ko sh +arsen al +k ame +er ry +ar royo +dis misses +ru bbed +rc b +lew d +dil u +and or +vi de +ur in +inter sec +ha ar +al b +year swith +app leton +é al +ul livan +suc cu +monter rey +d mx +artem is +ron nie +farm land +s football +gro tto +anth i +ãĢ ģ +à® Ł +vid ya +jimmy fallon +ൠį +t zer +gravit ational +w thr +u hhh +e hr +tin ker +ti juana +scran ton +ram charan +bar clay +re van +m si +ka p +wr s +we thenorth +tor al +sat u +gro m +fac ep +erick son +z yn +se dge +oo dle +spur sofficial +ds p +sic ilian +soli hull +recei vers +ladak h +hend rick +ther i +presi ding +mc guinness +litt ers +gun nar +gh oul +wi b +n tv +kar o +fro ck +b lau +ampli fy +all is +ul lah +memo irs +kh loe +intercep tions +pet day +lo oney +con fin +ch ay +piyush goyal +frequ encies +ut z +event ual +warm ly +obli vion +an ka +ta it +âĿ¤ï¸ı . +director ial +ru lers +prince s +mu ck +stur ridge +deu ce +abri dged +bagu ette +un cles +pen du +min ding +forre ster +av ila +wall er +wall street +ment or +hin o +high way +crom well +fanart friday +mb i +co yle +a hi +tro ve +spie gel +pay tm +mcin tosh +jan sen +nit i +nash ville +len o +leicester shire +le gos +dic t +ðŁĵ ½ +sp ad +beverly hills +sy rah +separ ates +z ain +un fit +dra gs +tan ia +over flowing +hri thik +haw thorn +z ani +mac far +fi de +to tem +pe ds +fundament ally +cal ico +sin ner +j ä +hil de +ds d +ten ay +ta hit +mil f +lie b +inform ing +up lift +ra el +mortg ages +lec t +ii ii +guillau me +compos ites +old smobile +l end +gar th +com mish +bapti zed +scorpi ons +ru cker +bringback our +alli ance +thalap athy +tal i +sp ans +eri dge +wither spoon +lin da +sky lar +kor n +hom s +Ä į +sil enced +caf fe +ar ty +dist inguish +to wed +pun g +jessic a +ear nest +beau fort +t ama +study abroad +si khs +new bie +nav ratri +mar ble +loun ging +lit ter +dal it +so sa +iz es +gra de +com promising +tr iton +de tta +v j +chau ffe +spec tral +powe red +montess ori +artic ulate +hal ton +al co +ye y +mn twins +acoun ty +ðŁijı ðŁı¾ +âī Ī +mad men +kal a +gru m +chi k +ati s +su me +akh tar +job search +high lighter +bo ath +âĦ ¹ +tar zan +lam bo +âĽĦ ï¸ı +ox fam +dump ster +pretz els +mac os +incl ined +fac tual +adverti sers +shu i +pu ree +ml pfi +anti dote +cap o +pa str +merc ado +but ton +ar min +ag g +lol la +horri bly +er rands +christop he +time snow +monday motiv +li ss +scand als +mc i +dispropor tion +âĺ İ +sur pass +samar itan +so tho +pu rest +fl att +trivi atuesday +delec table +leop old +hermi one +chou dhary +en rich +¡ ¡ +subsi diary +ine qualities +bachel or +auto immune +la kota +i hop +ad jec +the simpsons +sh es +se k +gret chen +up stream +hin akhan +coper nic +x tina +lu g +tough ness +e ad +cli pped +bi us +sl v +fah ren +dee pak +ca u +x an +im mature +dig ni +bo bs +shred ding +but tery +accommod ations +de ven +chun ks +super league +sky bet +kil dare +je et +ë į +ce k +wrec ks +pro pane +oh l +tb d +quo i +trum pp +mi mo +reluct ant +ver ne +o ic +ma gh +ar nau +se ver +li dge +stair way +kicchasu deep +ðŁĶ º +mach ining +aama admi +ot i +c da +al it +pan y +inst alls +ac ct +e shop +di em +hard well +fulfill ment +sc afe +qu ack +extrac ts +swee tened +fi ghton +f di +d inger +wal tham +us ur +refe rees +seok jin +gran n +af rin +th n +sch af +par cels +bet is +amar ine +nom an +kh tar +mor itz +cou pling +bar ons +ðŁIJ ¸ +à ¸ +sl p +sad ler +x ander +tri ad +mc millan +kh z +divi ding +ìĹijìĨ Į +dar yl +zed d +le ys +pla ques +flu ori +tipper ary +on nell +di dier +lang ford +im c +the sun +bir dies +ar cha +ye ssss +t di +dar ia +cand ace +al tam +pal aces +ch it +sant am +event ful +book of +ad b +mon stax +cre ole +co el +âĸ ½ +we aren +sten nis +she ath +ati sm +gron ingen +mlpfi m +le pre +wrong ly +rsp ca +rendez vous +acknowle dging +pel vic +solic itor +sla ys +nue stra +lo d +is lander +fer oci +fashion show +ra ss +dge on +adole scents +sma shes +negli gence +grate ful +ved ere +sw oop +ing l +apol ice +vand alism +gan n +jo ao +di supdates +zimbab we +under age +radi ance +w of +bour geo +pla s +cr ani +gh ue +wrec kem +warran ts +re form +jim mie +at wood +ys l +neil himself +l bj +i man +tan to +nois se +ver bs +equip o +al together +mam ent +l ice +dou glass +tier ney +pri med +j hal +furn itu +braz ili +v ill +past els +n ison +u ff +paral ysis +jay e +im po +ðŁij ģ +strate gically +pakistan is +was sup +super bike +thank u +tru elove +sha ikh +israel is +vi p +to g +li en +la ker +grey hounds +cul ars +bian chi +balot elli +ar ran +loo s +str ates +he bron +ar vo +sunder land +the al +tomb stone +sand man +c pac +thanks giving +love him +lat ino +an in +aka if +ĭ ãĤ +tor quay +di est +alli anz +ðŁĺ ķ +golf club +cl lr +wal cott +sch nau +promp ted +nomin ating +len nox +val et +mon ro +may ward +e ph +ðŁĶ Ķ +inter oper +r da +re flex +arm chair +ê° ķ +stri pper +por ti +ph arm +ham za +ni reland +ne ue +h pv +port foli +sun burn +fris bee +be al +bapti ste +x h +ty m +pr ati +o vers +haz rat +deser t +der ry +us ky +em mett +ach arya +)_/ ¯ +shu d +may a +ham ill +ra im +nr c +fitt ings +cur vy +ðŁı ĩ +ster ling +ॠĢ +wal kin +short cuts +mil ly +ast ur +alpha be +pl i +pe z +miss you +rad ford +ml g +ta eyang +notjust lakes +du mps +seren dip +le ur +ra ving +e ster +de priv +absc bn +ðŁijĩ ðŁı» +scar city +o cr +mean ings +cap t +da hl +fer mentation +bri oche +to win +out lander +massi mo +en cro +ðŁ¥ ³ +buil t +po tam +kir i +tm w +monit ored +k ites +peoples vote +gray son +íģ ¬ +afri ka +a dies +i vote +gy ne +g annon +di x +c mc +ou ral +fox andfriends +bel i +ig ne +gl an +katrin akaif +co politics +qual itative +p si +lu cci +disc oura +âĺ ® +kel li +gau tam +carac as +reale st +pu la +in us +hill top +make aw +atten borough +tw y +r arity +peck ham +ma hon +corn elius +clin icians +ton line +tb i +paradi se +ka si +inev it +fresh ness +colling wood +lun atic +defen se +cop d +in fra +wain wright +sains bury +alab am +te ma +lac o +chec ker +releg ated +tren t +stal ks +huff post +bhubanes war +ast ral +share your +prim rose +hi me +cat an +end ment +en dow +cle mens +mal oney +hil ary +game time +den ise +collabor ators +b wo +radic als +gue tta +ici on +au a +snap matic +sat chel +excav ation +base man +s ão +gn ation +fel d +surve y +shah zad +ma st +anirud hofficial +tru cker +ot ago +geo graph +ethe l +âļ¡ï¸ı âļ¡ï¸ı +s ver +mu tt +internetof things +ancho red +wh ouse +bang la +bal main +ç¹ ĭãģ +break fa +á Ģ +twi ster +te tris +ca v +stag s +g z +au b +stor med +hel ens +yar mouth +st asy +gustav o +co sc +vin son +up p +sc ricket +assump tions +app e +nu h +u er +pre mise +n aga +e amon +coron ary +na f +north side +el mer +ro tar +out lining +el f +re surg +kat elyn +in can +hyster ia +ce e +am bani +pro lly +Į ãĤĬãģ +ax es +san jose +rem brandt +mag pie +even ly +scor sese +qu aint +f g +b buk +indian football +weare all +spd wy +pis ces +ec g +âĺħâĺħâĺħâĺħ âĺħ +pre orders +: | +ni pple +sal azar +ju me +jail break +min n +bas sett +ze tta +jef free +ad jun +tic on +san diego +drink local +chol era +solic itors +o bo +com post +ni an +wr a +tre ach +ic ic +profession al +del ve +leg ate +histor ia +cro issant +con noisse +nam o +palli ative +chem trails +i ority +global warming +comic art +behavi oural +re sted +li as +cli mates +Ł ãģĦ +rut land +nou rish +menopau se +hot ties +demen ti +ve spa +mel ville +anal ogue +tz man +str ung +im perfect +gl are +cir cling +ros berg +rec o +oc ity +lo ire +em be +do ssier +ne el +nan do +me a +gal vani +fin esse +ag p +berke ley +asi m +âĺº âĺº +quil ted +ish ere +un matched +po tion +for z +at re +selfi es +juli ana +ðŁļ ¶ +âĸ º +mel ton +âłĢâłĢâłĢâłĢ âłĢâłĢâłĢâłĢ +spin rilla +pur cell +ed p +at leti +tony awards +ra ja +pro gno +mol ten +stu ff +p ally +nobel prize +âĻ» ï¸ı +spiritu al +spe ake +sa sha +bri um +tru ss +critici ze +assassinscre ed +yor uba +u lo +fire man +workin progress +ef cc +fla res +ro bot +hi kers +cl l +shado wing +pat sy +leh man +c ns +å ± +guad al +à± į +ra pe +r honda +paralle ls +son ja +langu age +land ings +z ola +cr amps +bur ning +apprais al +jol la +ham m +kas a +gul ly +f go +uly sses +ri be +ðŁĴ Ħ +ib u +eti enne +bri ar +fin ely +comb ating +y ql +go tham +we chat +to paz +primar ies +l se +iz z +hel e +dispon ible +cy stic +bel ichick +th rush +kansas city +ge om +soli di +red bubble +by stand +cambridge shire +par fait +ast le +ow o +ind ore +stom ping +sm elly +ðŁ¤ ĸ +locom o +adm itting +hol me +clock wise +min sk +mc co +for get +ev p +cam ra +ab ella +yo tes +universit yof +mé xico +silver ado +ric ket +crom bie +pu j +eradic ate +deli ght +y go +glam ping +vic a +du ggan +coun ters +cf d +sc our +react js +pu ram +paras ites +in ki +vill en +stel la +li mbo +ang as +k cr +ðŁĴļðŁĴļ ðŁĴļ +vap ori +mum ford +oli gar +à ¼ +al oo +boo ties +ad r +k elli +dru mmers +av ici +nature uk +ron al +in trac +un splash +le che +g oma +el ine +envir o +bi onic +bu eno +mi k +av in +star ling +em powers +cake day +boy cot +ðŁĴļ ðŁĴļ +ðŁĮ¸ ðŁĮ¸ +v ach +m ci +fractu res +ger i +sk ing +exclu ded +lu ce +ja ve +ig gy +evi den +aki stan +a wn +mor als +luci fer +ha ban +tumb ling +sunday motivation +mo sley +captain america +sch icago +the one +mo td +d ts +ðŁIJ ¼ +rep ell +ii i +locu st +geo spatial +mer sey +immer se +desc end +ber nade +j s +boat sales +win der +cran k +sing leton +candid acy +ben a +ðŁı» âĢį +high lander +ol t +k prs +healthy lifestyle +four teen +end the +ith aca +circul ated +r ans +pre valent +ha vas +splend or +roo ster +kalamaz oo +jewell ers +enne dy +rou sey +es y +cann ons +ornam ental +// // +ren don +win ne +mol ding +eid mubarak +coun tess +simon a +ha wa +fo es +du ster +sb u +por tray +mar ries +goo dday +cho co +achi ever +ðŁĺ¹ ðŁĺ¹ +pre neur +tr amp +tom i +n bat +garden chat +farra khan +ever glades +ab ru +sou sa +se ce +homes wee +terre strial +bar it +sri devi +ol u +mel inda +f rick +can dies +ðŁĺŃ ðŁĴķ +qu reshi +family fun +exor cist +cardin al +ny t +dies el +cu mulus +capric orn +si ology +lor na +dou gie +an die +super sport +c fl +п ÑĢи +say ang +pe ek +ภĬ +lo be +j em +ing lis +gg led +c sn +amne sty +chu ps +ba es +sau er +ðŁı IJ +mongo lian +en et +back street +dr illed +acce ssing +ce o +b se +ai ken +pur r +wor sen +whe res +war k +testi fying +bu ri +bla st +aw g +ðŁĵ ĭ +re defining +hear ing +u ci +c mp +bon i +tail oring +ta ji +noc chi +em t +stephen king +ne et +compla ins +campaig ner +luci ano +twili ght +ti esto +pas sports +flo yd +cathe dr +na ked +caregi ver +b coz +ade cides +ku ri +ly k +br aries +dren ched +disc lose +ðŁĴª ðŁı½ +le blanc +je tty +gar ty +chip mun +b su +rhyth mic +ic z +fri d +anne x +ame x +solo ist +lanc ers +arro whead +speci fication +simul ated +na is +inver te +bo wing +wor ship +f z +abo ss +sha q +ì¶ ķ +challeng ers +an arch +aamaadmi party +ãħĭãħĭ ãħĭ +suffol k +so corro +sn ell +cla dding +absor bing +shaw a +particip ates +ðŁį Ķ +book stores +bak u +seap ort +ko jima +gab y +pack ard +electr ician +let it +mo wing +fa wad +young jae +hot mail +men ing +u rie +intim acy +con ti +: ") +lifeis good +in ciner +i dri +craz iness +jour nos +fran chi +bott len +al da +ff es +k x +south we +air a +clay ton +sco ti +f j +bri ga +ðŁ¤ĺ ðŁı» +demonstr ators +y z +stor k +na q +casc ades +travel chat +plat a +pad ma +fran ci +at tain +bat girl +lom bard +hoo s +d dos +neon atal +discla imer +r ss +r ant +di sen +tex aste +so cal +frac tal +cam ry +stri fe +sn acking +mu h +sant ander +mor ons +gra f +par ades +hu ston +dru pal +mi ento +kir stel +hy de +vom it +forti fied +sphin x +da v +bir yani +win nings +s baseball +mer ged +lovel ondon +ling ering +dream big +car leton +liveli hood +djan go +astri d +gri ds +down e +bru ised +s ne +scarec row +hel ium +f nc +bi ggs +an ter +restor ative +em pires +ab del +life style +kiwan is +colloqui um +me en +pr ick +anti que +ze b +mi mic +edmon ds +ðŁijĬ ðŁijĬ +q ing +pp el +mc gill +interpre ting +âŀ ķ +rash ad +do ka +narr ator +electro magnetic +ash by +sau ra +iran deal +âģ īï¸ı +krish nan +in di +ff en +bre a +os man +multin ational +chi ppe +recruit ers +aus biz +p ounding +re gen +cur sor +refu sal +mac s +in ak +ax ial +wa ifu +up cycled +hindu stan +cas sini +carly le +scrat ches +re ef +man atee +eat ery +ðŁĵ ¢ +un condition +sen pai +on ther +comic book +pro sciutto +de mar +mi se +ma ge +fre ec +aye sha +al der +android games +ley ton +ho ck +door way +chicagof ire +aali yah +sw elling +bi x +. ðŁĺĤ +evan kirstel +torpe do +kon stant +genevie ve +ma ia +ha user +do torg +hide ous +fi k +sp raw +e ek +z appa +wan dered +' ' +ra jan +bam bi +( $) +wid ening +tool box +sa ir +illumin ating +pra ys +out patient +i w +day o +lo b +sw fl +sha des +gu ms +coo kin +ko di +gri ffin +traum ati +ste a +slaugh tered +god bless +air time +pseu do +b sa +hau led +ar if +à¸Ńภĩ +le l +wc po +mil iti +char ters +worl da +ru k +k gs +digital india +is able +idyl lic +esp ino +marie tta +e bo +team canada +ab our +wil ton +rock stars +fav ored +phys ic +wrink le +tb r +d print +ball arat +ad al +z ey +ðŁĺį ðŁĶ¥ +tom lin +mt r +pal sy +fener bah +tight en +phil ia +ir oning +ry u +b ant +enqu ire +ca ir +abur ger +tru n +green berg +chau han +ir ina +sh ani +trend setter +pre tt +zaf ar +alo ve +v ici +pan ic +no o +lu stre +disrup ted +bal lis +son sof +mon si +inst ac +ake st +ëĭ ¤ +kw ame +horror movies +distric t +sau cy +mb an +ar mies +with drawn +med ics +loft us +er oom +be kind +ar ns +all on +un ison +davi ds +cr at +nicot ine +so or +sm x +on co +cospla ying +zombi es +har ms +e ger +ro sy +moon shine +fe in +ce tt +du brov +reg ents +ben itez +ðŁijıðŁı¼ ðŁijıðŁı¼ +ste c +m alia +prioriti ze +ic eland +ft se +v amo +lam ont +homo sexuality +bre es +regu i +cb p +te j +sky sports +deter gent +sha sta +de rel +conserv ancy +colori zed +accol ades +vis o +show your +nan ow +bice ps +us ability +bi m +dailys ketch +pearl jam +stran gest +mega deth +broad casts +bar ren +ar ton +chri ss +confi gu +lu res +is the +e ul +railway ana +global health +gi anni +u aap +s lum +consci ously +ab re +n up +bud get +v ada +e sch +real ness +er ased +th unt +be z +armist ice +ðŁij ¹ +sh run +o led +driver less +ðŁ¤· ðŁı»âĢįâĻĢï¸ı +won dr +sk an +sal aam +mother land +h wang +gen o +gang nam +tw right +endor sing +en ic +ador ation +pau sed +patric ks +do cked +plat te +ff xv +ethnic ity +auto show +side show +after life +re located +orphan ed +food network +dare to +and ra +sla ps +v live +swim s +re imagined +mist le +re vise +real ity +bhar ti +ðŁĴĻ ðŁĴĽ +late st +prou dest +gra sses +lan yard +fresh est +carcin oma +anom aly +zieg ler +sum ner +ly rix +gor g +is d +av el +swild life +me squ +john cena +euro league +sab er +master ful +yar ra +cogn ition +jacob son +abo lic +sir loin +shuk la +moj ito +su pere +st weet +me z +e sa +rudol f +gur a +where you +tt m +win s +trust worthy +ny k +bra den +table top +good food +es on +be k +lingui stic +gra ys +ch ath +h cs +mon i +de ans +cu ssions +ch ell +slo ws +he mi +d app +shar pie +boo sters +a os +str ack +se dona +mu eller +hard wick +or nate +thor a +sal ud +o twol +ch um +mi ho +for age +thel ittle +tear ful +ones elf +min dy +sm g +gmb h +emer ald +ðŁĶ´ âļªï¸ı +tu tti +recep tions +re vising +i brox +tope ka +sal ami +expan se +i books +dob son +cli o +at s +ðŁļ Į +mo ha +is ance +shu tters +moo t +jan ine +marvel comics +jor dani +pos er +kenne th +hy ung +de ja +ase ball +speci ality +eu ston +classic car +had ith +ðŁIJ ī +chas ing +iz o +gros ven +ag lia +thisdayin history +t row +om ile +hu ar +by n +sal ine +div ine +demon ic +ty ran +han dover +revit alization +pa ella +cryp tic +se dg +m end +dun kirk +bre d +wal d +sport scar +a ard +whe aton +da ener +k lan +br t +bakhta war +spi res +schu bert +ro ti +poli sh +o se +ag ame +wonder con +prote stant +bo sa +ðŁĺ Ł +d ü +joy ride +ger trude +âĿ Ŀ +gil a +v h +tw a +tra v +swal lowed +star ve +la in +ent ren +rei ki +su kh +cra ic +az u +web page +kee fe +hypo the +hir sch +hel le +camp ground +w amy +tra vi +sha hi +san deep +ru i +han uman +dw p +reposit ory +no or +no ff +un real +p ell +black history +har vick +ma scar +pay ee +pa sha +gastron omy +d ÃŃ +ai g +rosen thal +open day +embelli shed +t tip +sun bathing +go pack +end ome +ï¸ı # +invali d +final four +st fu +squish y +ra sta +mo sch +jam esc +die trich +sel a +mel b +el vi +t dp +sun i +sli t +j ha +bi za +spi ked +l li +l illard +vam pi +syno psis +az har +kendrick lamar +ĮãĤĬãģ ŁãģĦ +heart less +country file +air play +arrog ance +pre e +virtu oso +ãħłãħł ãħłãħł +raj u +le bu +for ward +tu g +dro s +mondaymotiv aton +concep cion +thel o +pad i +looo ol +ÑĢ од +it ss +eth ical +end uro +__ : +expend iture +mon ste +mas king +terri ers +ib is +e mber +cu mple +punctu ation +pi per +ir vin +ade e +yy yyyy +flash backs +cel sius +don nie +bo gota +ben evol +the script +shil pa +pro se +fin dia +ze ke +ne ko +do ves +blues lyrix +fro sh +sowe to +mp lo +al ai +sab i +raq qa +wf tv +stro ller +ian somerhalder +ðŁĶ ª +an on +mo seley +! ?!? +sta king +mol y +car tri +c sg +ast or +transc end +ma er +de ux +cow girl +sas k +pun ter +ma ken +o ates +love tt +grow ler +sag in +v n +ssi ble +officeof rg +y mc +sab ar +faul ty +ap ha +ak on +ðŁij « +snow don +ae w +raise the +ðĿ ĵ +grue some +clement ine +sp ing +lat a +worlden viron +mi mic +can aria +bakhtawar bz +ao a +fal a +ãĤ Ń +avi va +you uuu +thi gh +la dders +gu mbo +tz ky +fu zz +plastic pollution +est ate +strength ened +k ant +dr in +cal vert +transform ational +frigh tened +mac lean +elited angerous +ear thy +t son +to da +j nu +.. , +mic hal +i ban +je ong +is real +sim coe +exclu sives +blue bells +ben e +te u +pil sner +pens ke +athe ists +m pu +cartag ena +ðŁĴĹ ðŁĴĹ +million aires +kk kk +it ar +subscri ptions +remo te +ma fi +hin ton +w cc +ho k +ds b +ab leton +sevent y +pun ks +e indhoven +sh one +mcfar lane +lim popo +empha si +à ¼ +sin fo +pe tre +man grove +ch ino +ber tie +play lists +push awards +p af +deb bie +c do +r ino +ðŁı¾ âĢįâĻĤï¸ı +fol ke +bon nar +th ine +sl an +hal ter +evi e +aw some +vul tures +spar ky +seiz ures +âľ Ķ +ram one +ine ffe +al n +pro ctor +ast ra +the voice +gro te +sci on +dead line +am aya +tain ted +patter ned +exce eding +cross fit +kay lee +drop box +ru shes +tack led +mo by +retro gamer +n cbd +benef itting +shay kh +guild hall +gen try +dream cast +dread ed +bun dled +th aw +revol ving +n pt +kylie jenner +imagin ative +ron i +over came +family time +ds burg +car naval +relation ship +recogni zable +cor oner +ho le +fan fic +emir ates +bur ritos +analy se +thin ner +ne es +galli poli +bl r +cat woman +-- >> +au lt +ada ily +nau ghty +ili o +solit aire +mtv br +jocel yn +arun ach +rep ent +south gate +hy acin +essenti al +fent on +and um +it or +go pal +sl inger +po sei +aw il +wi elding +ra ila +eli as +a sto +à ¤ +tend ency +str ata +ker t +< - +im acele +da es +sti mulus +han ley +fit nes +ec stasy +lim ous +ha iling +ðŁ¤ Ń +chis wick +tar ies +sla v +pul i +moderni zation +black mail +b ingham +h fx ++ + +ðŁĩ®ðŁĩ ³ +ni v +we a +profess or +k off +bol ster +su ave +sequ ences +pepper oni +not te +dre n +ãģ¨ ç¹ĭãģ +hs v +o ga +ap tly +z ad +excel si +rin ka +mol dova +min n +ma bel +conferen cing +bas ing +of er +ob si +hamill himself +care less +brief ed +inhe rent +par ish +dub nation +town sville +sar awak +gee ky +doncaster isgreat +was abi +gu p +phen o +dra inthe +carrie underwood +ble eds +bbc world +ane w +alta f +dul wich +ani ston +w ti +sumat ra +gra fton +bl n +me ster +bode ga +re go +es q +an jo +sump tuous +mai sie +ï¿ ½ +wil t +jak ob +el vis +se pul +mu ster +air pollution +president e +happy monday +exten sively +fl ondon +t ls +play ing +pe ed +din ho +var dy +pi ka +n iro +au cus +ðŁį ¦ +nu ll +el ondon +juvent us +imag ines +dis ab +lit o +d ura +work places +promo te +mc caf +wood work +waw x +à® ª +tt ino +shar i +sem per +better together +ðŁijĬ ðŁı» +ze bra +pon dering +en chil +ho m +cosm ic +tan z +mo cked +ec cc +ath ed +abo lish +prop eller +paris agreement +assemb lies +indu stry +fraudul ent +pe sa +chang min +ax x +ðŁĴ µ +irr ational +cu sa +ramad han +octa via +on elove +jac ki +bar ak +taxi der +seri ous +nathan fillion +mc en +ch k +po part +grav ity +copp ola +reading fc +illu sions +j ig +ww x +re sh +ex porting +buzz ard +âĻ ¤ +p cm +lan apar +ko s +arom as +antal ya +ww dc +ven a +phil a +ball in +ðŁij Ħ +quin ta +ma o +f ery +eigh ty +sentim ents +safe guarding +r wa +pu ffs +luc ille +de cath +sl u +nu gent +de ter +braz il +ze iss +super bowl +subsi dy +alter n +hi dalgo +enz ymes +ä ½ +tag ne +hair dresser +adri en +walk out +oppo ses +can tina +bed side +af an +ðŁĶ Ĺ +prophe tic +dan es +un successful +super charged +pk k +exem ption +hart le +secu lar +cli pping +br s +united way +c net +pat chy +ha gan +e en +âļ ľ +var a +sym pathi +never trump +affir mation +om f +ny cfc +ma ja +sur ro +keer th +up scale +sandal wood +mon archy +kno bs +å ĭ +po tholes +hunger games +ter races +na sir +coun sell +welcome to +wa q +se aman +m ita +stun ningly +on theroad +in ability +) !! +bon go +ant v +sp ut +worldenviron mentday +resu sc +y td +fi m +eun hyuk +sa chin +rose anne +cler mont +ape c +am ina +v ening +n antes +al most +sin us +ex as +ty l +ti en +ple ad +lanc s +bur naby +re k +jo om +observ ers +disco graphy +cl g +âĻ ¦ +sn ack +r ti +o ily +crystal li +bru te +web development +topp ings +la f +an is +ad der +reli ving +car lin +battle of +we g +syri an +pon t +n dc +lagh ate +yu ma +sp p +p iti +ro bbing +mart ing +rey kja +raj put +nc ds +kie wicz +âĢ¢ âĢ¢ +vam pire +substan tially +opio ids +nepal i +k line +ar oo +under stand +lit t +u it +thro mbo +sar ies +qu ot +b alling +t tr +s gh +philip p +br ant +ac l +m ello +whit taker +. ; +defi ant +b gc +repl ying +mir ren +metamor pho +sch wab +bul ge +utili zed +pick ering +par don +d sa +ภĪ +doo ley +cumul ative +Ð » +ur gency +e mir ++ /- +¦ Ī +ot as +âı ³ +station ed +grape vine +ar ac +karan johar +f ancy +sau l +coo gs +lgbt q +ا٠ħ +jav i +u mmer +pl l +den is +dai pur +pu ffin +lewi sham +fand om +co pe +ves matter +s ve +hel pless +deo dor +ostr ich +kaz an +friday the +con dor +v x +sophom ores +rob les +cu tt +cli mbers +ë¦ ¬ +sle g +sn f +mac ys +hydr ating +grou pe +po yn +mou lin +hg tv +lmfa ooo +sulph ur +asdfghj kl +annab elle +hump back +bra ved +viswas am +multi purpose +hu midi +escor ted +barb ican +f ad +cor sa +ðŁ¤ « +pi ppa +here to +can y +ser gi +or cas +o vie +ed ou +s any +glob alization +man cini +food truck +f is +defi brill +sch re +sma fia +love wins +la ut +k aka +hol lande +game on +resurg ence +out side +olympi ad +int an +abstr action +rapi d +pal om +cal le +jas min +attack ers +swag g +mit ra +ky lo +à® ² +her mitage +gor do +e ira +so sfam +roll out +exc ite +sy nod +mer rill +c als +as sa +liveli hoods +ju ve +the black +gopack go +ant lers +alban ian +wool ly +qu iche +puri fication +are th +smar thome +ne k +all blacks +mex icans +is m +ger ms +comple xion +mar ck +u shi +ðŁIJ IJ +char l +ca stic +till erson +giuli ani +biode gradable +mal bec +bo is +ju bil +im es +r ame +gene tic +esp nu +ch ley +so ho +go pher +g sc +buu ren +cu be +bridesma ids +webin ars +to e +mani pur +viol ently +notic ias +ex changing +chi ev +replac eable +muay thai +bu ss +sp il +instal ment +div ya +cait lin +o lim +fil tering +whirl wind +sta red +prior it +pr am +pompe ii +mono logue +k ite +bu ka +âĢ¦ .. +vac cine +bre ro +woz ni +sol ent +re ferr +my rt +gridi ron +galatasar ay +fro ze +clare mont +ðŁ¥ ĥ +victori as +ssel dorf +pa stures +net neutrality +ch or +ðŁij ģ +ಠ¿ +we ho +symp tom +jo sel +in ous +dragon con +power ball +p te +four thofjuly +ec la +ear buds +where abouts +salt life +depriv ation +ch ter +wi ggle +syste m +ps st +ch az +d any +ri mo +oax aca +lanapar rilla +barcel on +melanch oly +way back +ho tro +n si +l illy +kur o +ja han +intellec t +board game +ðŁı Ĭ +sneak peek +k prc +jail s +cand el +zan zi +mor timer +star ch +ra gs +p fa +long live +k art +gir ona +cro cker +christop h +precau tions +war ship +per m +paren t +van gogh +gif ford +allegh eny +ra yn +ut m +sten cil +rec alling +pen ney +z azzle +ìĥ Ŀ +hin ds +aren as +nu ev +law ler +gu in +do this +ðŁij ķ +ì¶ķ íķĺ +we g +ti b +ri din +complex es +turbul ent +pe sos +de marcus +vall arta +sam sun +kis ses +hein rich +deport es +wil ms +ur d +then ext +inki gayo +ho wi +fir sts +carri age +clean liness +mas war +is ch +ax el +si zzle +road house +fr ans +ent ourage +co bble +boo th +benedic t +tal on +fc u +year ofthe +ray on +raider nation +fo yle +ko val +pi anos +l pg +bur mese +man ure +geo caching +cosc ino +b np +fer ra +stro phy +mar ais +ce es +legen dof +kat niss +eno ch +av ed +you know +d prk +ðŁĺ¢ ðŁĺ¢ +sp un +pro st +sor rows +cent red +ke a +gal icia +? ðŁ¤Ķ +ÑĢод а +bou chard +ðŁĴĻ ðŁĴľ +yu i +seed lings +jon ah +reco vers +ny rd +board room +su ma +my japs +tun g +sha i +ir gc +eli o +wag ons +ka shi +polic emen +john nie +ale coscino +shop ify +dot ted +de tri +va w +to fficial +in your +chal mers +trac ed +no vi +by es +ari el +nipp on +la pel +gri ez +b gs +fool ing +d ita +vijay sethu +nm wx +as ot +kr anti +hel m +ve di +sic kest +mo chi +k abo +shru bs +he red +b sp +sq m +ham r +dul kar +anth a +nr f +avoid ance +at en +publi x +be arers +nas i +ha p +h ells +ðŁĸ ¥ +ภ· +thelast jedi +oh wx +ðŁį « +wa hoo +there se +rec aps +ss nhq +bird photography +v ay +pet ti +pau lo +bel vedere +( * +gr l +du vet +c pec +sa it +por sch +meas urable +avi ators +fre mantle +bre en +on om +me and +life saving +eu ref +en don +embar as +aira sia +el is +dun kin +star magic +s ill +porto bello +ki efer +ex e +mu ted +ãģ ¦ +we thepeople +logi a +liber al +theforce awakens +min ed +haun ts +freck les +care taker +s india +âķ IJ +dev lin +list on +direction er +oh n +fi garo +em manuel +du bois +cl ones +bru ise +ðŁİĪ ðŁİī +disin fe +der matology +as r +s watch +dis comfort +tam anna +pi day +mack en +k atic +delu sional +shaw nee +gu d +al bino +p ali +din gh +cucu mbers +coffe y +anticip ating +treas ured +web summit +shel tered +sav or +pedago gy +m gs +sh ma +s bu +den ali +cam pos +bubble gum +o ir +le aps +y ler +r one +sansk rit +min t +meat less +futuri st +du de +a vel +prote sted +squ ire +z aki +sz n +har court +cycl one +bour dain +gather ings +d ant +advent urer +parag on +alt man +dd ing +ban erjee +snorkel ing +mother well +mis sy +en der +glo ws +ki wis +chick pea +por o +e fron +app t +u y +speci fied +gab by +e strada +com bos +bour bon +vin i +var un +steph ani +key words +car vings +amit abh +wr ought +tw al +re els +clu bbing +ubi quit +cri t +ambed kar +æ Ļ +prun ing +vaccin ated +boe ing +s ks +lo ona +hypno sis +edel man +pho l +he w +colo sse +mckin sey +u on +to te +sacrific ing +ox i +n ang +e mu +пÑĢи ÑĢода +m th +kers wednesday +argu ed +timel apse +ris king +regul ating +ni gh +likeli hood +cu bic +au ction +rein for +pi stor +no ses +ye l +snu ggles +pe i +jean ette +ta ku +ri th +guy z +ภŀ +y te +ver ted +pay soff +jau regui +hoo ligans +procedu ral +mi b +har dy +el eng +chec kers +all ine +the met +prou dof +keerth yofficial +collabor ator +ni u +infl icted +adv ani +re twee +memor iam +f icial +ti ghter +sal em +re viewers +br ics +ben digo +am ell +tur kish +sush maswar +paul son +pal awan +mol lie +stitch er +s burgh +ir u +hay dn +en ers +aro a +u zzi +saraj evo +hel a +apol lo +nine ty +vac a +sp on +vent u +jel ena +hei fer +avo ids +sp ine +pri ze +mar ist +re creating +me de +woo den +find lay +ro fl +n di +compreh end +yu go +y ü +to work +u fos +son ar +pi ston +recor ding +tent ative +art forsale +pel lets +fre do +ÙĪ ر +mu ses +custom ization +pro found +is ner +ide ally +si am +plan kton +cm dr +man ger +fran ken +customiz able +ठ® +walk away +swi vel +vast ly +no ton +lex a +ex moor +z as +tan te +reduc tions +lol ly +hip sters +benef ited +ë ² +ww www +mascul ine +fi ji +dre y +ph ill +ane ous +nic ol +men dez +disapp ro +ch ner +through s +shen mue +east man +ðŁIJ İ +yu ck +under tale +re ys +go beavs +eng en +c na +mer r +bir k +ãģ¨ç¹ĭãģ ĮãĤĬãģŁãģĦ +âĥ£ @ +yn na +ste ed +offen der +at um +vani shing +presi denti +love them +g nocchi +fri ggin +per il +mad hya +ag ne +dee jay +mar nock +m tb +fold able +@ ___ +stand re +bron x +bow ski +fin ite +cro ckett +b sf +ge tit +seren awilliams +mir o +ignati us +sla y +rin se +fon due +sel dom +s more +gan i +dy ce +dmit ry +cru mb +late post +pri mark +oh ana +flor als +do a +remembrance day +d ds +azi one +toon ami +air port +æĿ ± +th ad +fi st +dine sh +dr who +ad words +admi rer +pro je +kyrgy z +à « +manife station +le wan +j ic +thi bau +le ased +van ity +nouri shed +never theless +aug mente +fu elled +che ad +wil shere +ru di +p z +my co +mor ro +herbali fe +hardro ck +de man +dre ality +sp ades +ce vic +bha i +bar on +ultimat efan +hou news +to bi +stru t +ke el +affili ation +the masters +sm al +hu e +este ban +con v +om nic +datab ases +co v +ter ti +st g +snoop dogg +metab ol +leth bridge +ðŁı» âĢįâĻĢï¸ı +year ling +residente vil +nws l +iy aki +griez mann +c ous +ðŁĵĿ : +tor ian +sam i +ðŁĶ¥ðŁĶ¥ ðŁĶ¥ðŁĶ¥ðŁĶ¥ +g are +alli ances +whit field +we ther +refin ing +coy i +kra ken +ðŁĺĺ âĿ¤ +singul arity +lil i +h ns +bol dand +waw rinka +misogy ny +lo vers +c q +b dg +ad ona +gar ter +women of +sc d +recogn ising +mun a +str ou +sign alling +lare do +hell boy +alek sand +un available +pedi atric +as in +mer ia +ri shi +futuri sm +w ye +polari zed +e we +pro pel +in forms +cre ase +~ " +arti ston +like for +heidel berg +er ra +life in +len ny +inter rupt +cohe rent +ca z +vick ers +le veled +f bs +cab ins +bu mmed +apost les +we h +ten don +souven irs +infu ri +pier ce +asse t +m las +go th +di ggin +ann as +yl or +th waite +sw el +pan era +mur derers +croo ked +bs go +ac u +a on +re an +one of +ko hl +bloo dh +pest icide +lost dog +fle xing +ëĤ ĺ +su pra +eter nally +ðŁļ Ļ +pa olo +ol an +mom o +is elle +captain marvel +s lou +mistak enly +akhi lesh +mer t +il inan +bu on +bal kan +mir ro +mill en +der ail +dam on +tit i +bi os +re don +pic ard +par te +ðŁ¤ Ł +Ø º +son ics +fir sth +dd c +veg ans +tur ban +ni gan +lot tie +lyn don +star buck +pink floyd +life styles +am ara +a she +r sc +val a +sm er +cw gc +cli ent +buen as +jag an +coo ps +ðŁijij ðŁijij +speci alizes +snag ged +g lar +ben net +wildlife wednesday +bow den +pi k +art in +empor ium +ar l +re ba +pas ser +disappo ints +additi ve +âľĬ ðŁı½ +bay er +missou la +ha skell +comm ences +ni x +ne man +explo ited +plastic surgery +cc d +aso cial +vo t +sie gel +fro ome +kap am +far a +e ha +pro bes +mw f +meet ing +p bb +ak ins +mistle toe +kingdom hearts +for kids +ec r +bal e +escor ts +adidas originals +k wa +k ts +hallo ffame +ðŁĺį . +wag s +pot ted +o wing +honey comb +he fty +uro logy +mer le +b pd +stri pping +re ich +k state +gu ay +yon ge +shak ti +g loom +bat t +son om +n ery +el ba +blan ks +hel le +triple ts +bom bay +ak arta +ab ia +transm itted +rol f +ja is +angular js +fi erc +m ss +trac e +ॠĩ +tom bs +old man +kom bucha +fo l +e health +cere als +are lli +in ari +ðŁĴ © +wo l +liber ties +fa wn +af firm +nun avut +hyster ical +k drama +art es +âĢ¢âĢ¢âĢ¢âĢ¢ âĢ¢âĢ¢âĢ¢âĢ¢ +valent in +man slaughter +gal es +eo in +energi zed +del s +with draws +st les +sar castic +ram esh +incredi bles +lock hart +ya wn +ultimatefan live +oooooooo oooooooo +mu en +guru dev +te er +pe eling +new snow +lingui stics +direc tv +ag end +uni lever +ru ger +han dedly +ero se +li mel +the c +royal ties +fini shers +nr g +m gt +fid get +com ps +bac on +aggre ssively +ab it +ch â +tar de +slu gger +q anda +gre ening +d ats +ensla ved +spec tor +o ye +fre ef +b hand +stop brexit +mis conceptions +cav a +ðŁĺįðŁĺįðŁĺįðŁĺį ðŁĺįðŁĺįðŁĺįðŁĺį +multit asking +hou sel +ferre ira +cen time +ank les +jo dh +hel ly +fro me +out tuesday +nar nia +bal aji +l bloggers +jyo ti +ðŁį ĩ +lan cia +cap ri +y ap +nat ash +down fall +." âĢĶ +à ® +ligam ent +coat ings +ai ded +hi ko +fall ing +encryp ted +yeg food +infringe ment +cu di +ce p +ðŁĺį ðŁĺĤ +tra d +super rugby +ed win +wh iche +vi meo +lay ne +in vigor +he he +dubrov nik +bie ber +u tr +sham an +op ers +ham ill +en ig +di f +ar um +scrap book +min h +diver gence +mckin non +life time +guter res +wil le +ple as +patt y +mic ron +k z +dom aine +ru sher +m ds +ches ney +screw driver +âģ© , +sle dge +hau er +chan a +stam ina +sprink ler +pl n +he ff +bol ton +om on +car rington +accor dion +jor ge +inter ception +in puts +gu ll +tran scription +vanu atu +it ical +eth os +tic h +spac ey +pee king +u mi +ha ger +psycho tic +illi an +illi a +bonnar oo +an ese +pu c +laghate parth +en hall +econom ical +dre dge +% - +u we +tu bular +scoun cil +pe asants +fl er +tumb ler +he p +ford ham +row ley +initi als +ev asion +er nation +plu gins +coch ran +c attle +acid ity +ðŁİĬ ðŁİī +re grann +jump man +ef ace +x ma +patri archy +esco bar +cristi an +tip ton +nu eva +hack ney +back seat +kill arney +aid an +sta dion +simul taneous +ida ho +a je +u th +figu re +clo s +bur k +volun tar +rec ite +macfar lane +cur few +bou do +w gn +sti x +sla p +scrat ched +philli p +jour ne +ex pelled +wa z +u ke +tati ana +ou e +ho pp +dimit ri +ðŁĵ £ +mato logist +electri fying +blu ffs +bill smafia +az cardinals +y aa +x mas +shar a +r ith +g ills +dre s +bar ton +authori zation +imperi alism +home of +to do +foot path +band width +visit spain +moh sin +erup ted +mi ki +insig nia +mike l +ss h +ger a +bank holiday +aw an +t weak +star craft +e al +construc tion +skelet ons +le ep +ine m +bar clay +ship wreck +monsi eur +yo h +ron t +form ative +ser o +le p +horse man +hoo sier +haz mat +cylin ders +cen ti +ðŁĴ¥ðŁĴ¥ ðŁĴ¥ +re em +na ire +mus ically +gras shopper +est onian +termin ology +ro main +blogger rt +tox in +stan ce +cultiv ated +an ast +ðŁIJ į +shi mano +go pher +ene i +recycla ble +gam ification +fight for +c q +avoc ados +ke ys +eli ke +gly cer +shak ur +mobili zation +gal ley +expla in +ex changed +pe th +obe dience +illa ge +en nis +ãĥ ŀ +wi v +walla bies +ma ar +ig ers +fin tech +fin alized +wo j +meaning less +in field +onna ise +e et +bron te +pass ages +ðŁij § +strick land +northern lights +lom ond +h tc +wr ay +shi fter +di alog +ðŁį į +>> >>>> +te atime +ste ch +sic huan +qu ill +fran ca +comple mentary +bar rington +marcu s +mal am +goo oo +for sa +elec tra +af s +âĹ Ĩ +tri fe +sn azzy +fo lia +and olan +after dark +wood son +stra de +litt lest +o gun +con wy +co wards +ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤðŁĺĤ +íĬ ¸ +se ul +mur phy +dun ks +kapil shar +jo achim +wom ack +equal ity +aver ages +a ine +ðŁ¦ Ī +tac ular +dis ability +u ked +mid century +bar thol +teas ers +tab ern +nj caa +sp out +op i +ku bball +bl om +so ar +popu lism +meth yl +ðŁijĬ ðŁı¼ +o spre +alo ils +ðŁĵ ĸ +ðŁĮ ļ +x er +sp illing +publ ica +car dam +adi sh +sa cha +p kg +bu da +lyric ist +i bc +gru mp +ho ver +hal ep +anti body +anem one +âĻ¥âĻ¥ âĻ¥âĻ¥ +m cl +litho graph +cc u +s fest +path ic +calli ster +otta wa +gun sn +rut ger +hali but +en vision +differenti ate +ðŁļĢ ðŁļĢ +pir an +lat el +uc n +trou bad +ra ine +fierc ely +learn english +lea se +wex mondays +em it +dray ton +bur rell +scuba diving +hol ler +dr u +clo cked +w ral +ap ro +trans lucent +w bo +patri arch +mo ja +lan nister +fish ery +ne derland +mil dly +mi rai +ma ko +ja p +ðŁĺ©ðŁĺ© ðŁĺ© +pro statec +p anna +ar ama +under taking +tomp kins +ne op +soli ds +sav oury +e ames +cut lery +wood bridge +steam er +ri zzo +wild cat +rat na +lamin ated +kin eni +jal ap +ai des +acknowle dges +?! ?!?! +! ðŁİī +w afc +mag gio +ha ves +dar je +of i +gr il +v asi +bru x +mo hd +fake speare +arn old +r mb +for be +wal leye +ro di +therapeu tics +strate gi +ob ste +mu dder +download able +dd ings +d ca +asi angames +campe on +appropri ation +th century +ram atta +dra ped +bul lion +mu c +one x +se greg +ophel ia +bod ily +âĿ¤ ðŁĺį +wi zar +te ased +ade my +to id +sur a +lazar us +sn ickers +ma se +lo h +bow ed +bibli o +x change +har lan +gho shal +flavor ful +bha gat +alle z +whiche ver +ten stein +disc er +organ iser +mt g +dream liner +t se +hok kaido +mo k +indulg ent +hick man +blin ded +al yn +aaa ah +sp ool +lough borough +inter pret +et v +aristo tle +optimi zing +avici i +madu rai +ju li +naw az +mat chups +ab ide +paint ing +w elling +vel i +octag on +in scribed +po king +plac er +life cycle +kili g +g sp +eli ves +cle ments +na sheed +me sut +incarcer ated +dist illed +wal ang +delic acy +del gado +che z +ch ita +ad ero +tu x +pati l +o do +abh cosmetics +tv c +p bc +in accurate +hardwork paysoff +ball er +quot ation +merchandi sing +ga stri +defen ses +dro gba +bex hill +ban kno +win ona +si eg +p gs +hahah ha +agu chi +su bram +mirac le +de sch +li bre +ba cher +ent ine +bbcra di +lou dest +r ps +pi erc +fr yer +storm trooper +rafael nadal +pas co +exhau stion +epic onetsy +rc tid +kel lie +ga ines +d bz +sm riti +s bridge +lim ited +cla w +technic al +bio graphical +ado red +ภ° +exclu de +ac adia +key boards +fur man +so ca +sur u +ni ps +sw aps +server less +run e +pu ffy +north ampton +nish ings +hen der +cartri dges +gun shot +ðŁĵ ¹ +fil ament +respon dents +pey ton +mountaine er +mer ging +life span +intimid ation +p afc +nl wx +expan sive +pur r +f ck +ca e +at ti +tele thon +so hn +mend el +lo pes +dor i +un broken +te red +tast ings +in active +disin tegr +t assel +share the +pi ano +is lay +air space +z awa +ricci ardo +ming ton +fresh er +cur ry +re vs +pharo ah +h mv +exhilar ating +wh oo +lin kin +kri spy +competen cy +ste wards +ne bu +kat su +ad mins +baz ar +as ar +giving back +s summit +song z +lin us +raj kumar +farm ington +fanta sia +ðŁĺ´ ðŁĺ´ +so bri +lis se +barry more +pri sm +blo b +sen ew +mono xide +exp ire +eigh teen +di pper +xi ao +kil t +hin ch +bbc sport +bam boo +p ter +ex al +ðŁ¦ ĭ +ham lin +expe ditions +star gazing +food security +wy lie +ul f +st ingly +on storm +lo eb +bro ome +bn ha +pancre atic +eli ve +!!!!!!!! !!! +ther apper +ortho pedic +avengers endgame +antit rust +ìļ ° +go te +om d +off side +gy llen +win eries +white water +ad l +lu pita +exce eds +consi sted +chew bacca +ash leigh +nhl jets +is san +sh ld +hay at +cran berries +ðŁ¤ĺ ðŁı½ +rock the +spring training +fall out +dairy free +wa j +un decided +so wn +rc n +north wales +htt r +fu mble +d its +comp elled +popu list +min ted +blan chett +. '' +pro pulsion +m illa +au berg +her tz +h ta +u daipur +serendip ity +azte cs +als ace +ðŁIJ ij +lu n +sho es +char li +gar za +ðŁĴ Ł +pro biotics +fox tv +ol is +mi ff +loc alized +diffu ser +si gue +fun ko +rend ous +ðŁĴ ij +jeky ll diff --git a/comfy/sd1_tokenizer/special_tokens_map.json b/comfy/sd1_tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..2c2130b544c0c5a72d5d00da071ba130a9800fb2 --- /dev/null +++ b/comfy/sd1_tokenizer/special_tokens_map.json @@ -0,0 +1,24 @@ +{ + "bos_token": { + "content": "<|startoftext|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|endoftext|>", + "unk_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/comfy/sd1_tokenizer/tokenizer_config.json b/comfy/sd1_tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..8f7b3151d008bdee5739e317b887be0fc3b805c3 --- /dev/null +++ b/comfy/sd1_tokenizer/tokenizer_config.json @@ -0,0 +1,34 @@ +{ + "add_prefix_space": false, + "bos_token": { + "__type": "AddedToken", + "content": "<|startoftext|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "do_lower_case": true, + "eos_token": { + "__type": "AddedToken", + "content": "<|endoftext|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "errors": "replace", + "model_max_length": 8192, + "name_or_path": "openai/clip-vit-large-patch14", + "pad_token": "<|endoftext|>", + "special_tokens_map_file": "./special_tokens_map.json", + "tokenizer_class": "CLIPTokenizer", + "unk_token": { + "__type": "AddedToken", + "content": "<|endoftext|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/comfy/sd1_tokenizer/vocab.json b/comfy/sd1_tokenizer/vocab.json new file mode 100644 index 0000000000000000000000000000000000000000..469be27c5c010538f845f518c4f5e8574c78f7c8 --- /dev/null +++ b/comfy/sd1_tokenizer/vocab.json @@ -0,0 +1,49410 @@ +{ + "!": 0, + "!!": 1443, + "!!!": 11194, + "!!!!": 4003, + "!!!!!!!!": 11281, + "!!!!!!!!!!!!!!!!": 30146, + "!!!!!!!!!!!": 49339, + "!!!!!!!!!!": 35579, + "!!!!!!!!!": 28560, + "!!!!!!!!": 21622, + "!!!!!!!": 15203, + "!!!!!!": 9168, + "!!!!!": 5203, + "!!!!": 2360, + "!!!\"": 28048, + "!!!)": 42532, + "!!!": 995, + "!!\"": 20556, + "!!#": 34997, + "!!)": 28352, + "!!": 748, + "!!@": 40705, + "!\"": 2947, + "!\"@": 43819, + "!#": 9670, + "!'": 13222, + "!),": 37904, + "!).": 26225, + "!)": 4571, + "!*": 37737, + "!,": 29325, + "!-": 43499, + "!...": 22121, + "!..": 35475, + "!.": 22517, + "!:)": 31671, + "!:": 17545, + "!": 256, + "!?!": 29767, + "!?!?": 47081, + "!?": 6004, + "!@": 15117, + "!]": 34466, + "!âĢ¦": 35068, + "!âĿ¤ï¸ı": 32559, + "!ðŁİī": 49085, + "!ðŁĺĬ": 43434, + "!ðŁĺį": 36438, + "\"": 1, + "\"!": 10377, + "\"\"": 41530, + "\"\"\"": 25539, + "\"\"": 8575, + "\"#": 8345, + "\"'": 31065, + "\"(": 32741, + "\")": 13112, + "\",": 4332, + "\"-": 9375, + "\"....": 37785, + "\"...": 9049, + "\"..": 25403, + "\".": 2811, + "\"/": 39486, + "\":": 7811, + "\";": 37549, + "\"": 257, + "\"?": 11727, + "\"@": 1512, + "\"@_": 20236, + "\"[": 36930, + "\"âĢ¦": 33993, + "\"âĢĶ": 41151, + "#": 2, + "##": 15483, + "#...": 31491, + "#:": 30144, + "#": 258, + "#@": 35062, + "#âĢ¦": 12834, + "#âĢİ": 34262, + "$": 3, + "$$": 24233, + "$$$": 31859, + "$$": 14929, + "$)": 39460, + "$.": 34682, + "$": 259, + "%": 4, + "%!": 35070, + "%),": 37819, + "%)": 16063, + "%,": 14505, + "%-": 48784, + "%.": 12475, + "%;": 33379, + "%": 260, + "&": 5, + "&&": 27791, + "&": 261, + "'": 6, + "'!": 13781, + "'\"": 19479, + "'#": 15319, + "''": 46594, + "''": 8445, + "')": 19175, + "',": 5662, + "'-": 26152, + "'...": 20474, + "'.": 4645, + "':": 7182, + "';": 44517, + "'": 262, + "'?": 17242, + "'@": 26397, + "'d": 1896, + "'ll": 1342, + "'m": 880, + "'re": 982, + "'s": 568, + "'t": 713, + "'ve": 1200, + "'âĢ¦": 42120, + "(": 7, + "(!)": 30253, + "(\"": 18741, + "(#": 6229, + "($)": 46597, + "($": 15186, + "(&": 15042, + "('": 18235, + "((": 22944, + "(((": 33287, + "((": 13796, + "().": 41737, + "()": 8475, + "(*": 48004, + "(*": 39575, + "(+": 12903, + "(-": 20228, + "(...": 45159, + "(.": 43055, + "(:": 8528, + "(;": 23983, + "(": 263, + "(?)": 22885, + "(@": 2181, + "(£": 33987, + "(©": 44886, + "(ðŁĵ·:": 34610, + "(ðŁĵ·": 37999, + "(ðŁĵ¸:": 44422, + "(ðŁĵ¸": 45204, + ")": 8, + ")!!": 47518, + ")!": 7805, + ")\"": 13046, + ")#": 39981, + ")'": 23613, + ")(": 27956, + "))": 13720, + "))))": 42911, + "))))": 34181, + ")))": 18305, + "))": 5167, + "),": 2361, + ")-": 19034, + ")...": 15274, + ")..": 41822, + ").": 1818, + ")/": 26616, + "):": 4143, + ");": 19686, + ")": 264, + ")?": 18765, + ")@": 41928, + ")_/": 45028, + ")_/¯": 45781, + ")âĢ¦": 41844, + "*": 9, + "*)": 30956, + "**": 9825, + "****": 21326, + "********": 42974, + "*****": 43571, + "****": 25167, + "***": 7829, + "**": 4441, + "*,": 41895, + "*-*": 23568, + "*.": 31304, + "*": 265, + "*_*": 44535, + "+": 10, + "+)": 34810, + "++": 47298, + "+++": 35986, + "++": 19056, + "+,": 35885, + "+.": 25238, + "+/-": 47614, + "+": 266, + ",": 11, + ",\"": 3823, + ",#": 11215, + ",&": 26905, + ",'": 10599, + ",)": 44493, + ",,": 21340, + ",,,,": 33225, + ",,,": 14811, + ",,": 8844, + ",-": 29821, + ",...": 20365, + ",.": 41277, + ",": 267, + ",@": 13975, + ",âĢ¦": 14601, + "-": 12, + "-\"": 18646, + "-#": 10151, + "-$": 24946, + "-'": 28010, + "-(": 33345, + "-)": 3535, + "-*": 21527, + "--": 2154, + "----": 5753, + "--------": 11772, + "----------------": 23122, + "----": 30164, + "---->": 35999, + "---": 11079, + "--->": 14518, + "--": 2432, + "-->": 6422, + "-->>": 47252, + "-.-": 32765, + "-...": 43147, + "-.": 44040, + "-": 268, + "->": 5081, + "-@": 10087, + "-_-": 27227, + "-__": 42718, + "-âĢ¦": 30047, + ".": 13, + ".!!": 37805, + ".!": 14030, + ".\"": 18650, + ".\"-": 21234, + ".\"": 1081, + ".\"âĢĶ": 48703, + ".#": 5014, + ".'\"": 41558, + ".''": 49379, + ".'": 5938, + ".(": 22294, + ".)": 5376, + ".*": 26145, + ".,": 5276, + ".-": 12481, + "..": 608, + "..!!": 23707, + "..!": 17994, + "..\"": 15229, + "..#": 15735, + "..,": 47143, + "...": 3002, + "...!!!": 38351, + "...!!": 39915, + "...!": 16860, + "...\"": 5240, + "...#": 8195, + "...&": 44979, + "...'": 23167, + "...(": 37981, + "...)": 14040, + "...,": 42717, + "....": 2386, + "....\"": 26689, + "....#": 20346, + ".....": 34151, + ".....#": 38867, + "........": 8246, + "................": 24855, + "............": 42965, + "...........": 35008, + "..........": 25526, + ".........": 19881, + "........": 14720, + ".......": 9917, + "......": 5590, + ".....": 3104, + "....": 1390, + "....@": 29790, + "...:": 34570, + "...": 678, + "...?": 16388, + "...@": 12672, + "..": 852, + "..?": 23875, + "..@": 21124, + "./": 31975, + ".:": 15811, + ".;": 47596, + ".": 269, + ".<": 29442, + ".?": 29294, + ".@": 1230, + ".]": 33511, + ".~": 42651, + ".âĢ¦": 18047, + ".âĿ¤ï¸ı": 39085, + ".âłĢ": 30097, + ".ðŁĺĤ": 46580, + "/": 14, + "/#": 13217, + "/$": 36266, + "/-": 19811, + "/.": 39382, + "//": 15348, + "////": 46271, + "///": 22734, + "//": 3502, + "/": 270, + "/@": 8216, + "0": 15, + "0": 271, + "1": 16, + "1": 272, + "2": 17, + "2": 273, + "3": 18, + "3": 274, + "4": 19, + "4": 275, + "5": 20, + "5": 276, + "6": 21, + "6": 277, + "7": 22, + "7": 278, + "8": 23, + "8": 279, + "9": 24, + "9": 280, + ":": 25, + ":\"": 29498, + ":\")": 46432, + ":\"": 12089, + ":#": 26625, + ":$": 33769, + ":'": 8017, + ":'(": 21250, + ":')": 10701, + ":'": 23851, + ":((": 42496, + ":(": 5965, + ":)": 11070, + ":))))": 42339, + ":)))": 21840, + ":))": 10164, + ":).": 39010, + ":)": 1408, + ":*": 12617, + ":-": 13021, + ":-(": 25137, + ":-)": 4223, + ":-": 10323, + ":...": 42140, + "://": 12441, + ":/": 13604, + "::": 33077, + ":::": 43818, + "::": 9788, + ":": 281, + ":>": 39677, + ":@": 14339, + ":]": 43486, + ":|": 45986, + ":âĢ¦": 22365, + ";": 26, + ";))": 41873, + ";)": 3661, + ";-": 35657, + ";-)": 10475, + ";;": 34824, + ";;": 24492, + ";": 282, + "<": 27, + "<-": 47280, + "": 34308, + "<<": 24588, + "<": 283, + "<<": 16482, + "<<<": 35054, + "<|endoftext|>": 49407, + "<|startoftext|>": 49406, + "=": 28, + "=))": 39587, + "=)": 17840, + "=": 284, + "==": 11748, + "====": 21734, + "========": 38952, + "==>": 29688, + "=>": 9714, + ">": 29, + ">.<": 38507, + ">:": 36196, + ">": 285, + "><": 28015, + ">>": 8270, + ">>": 2988, + ">>>": 6395, + ">>>>": 18461, + ">>>>": 18435, + ">>>>>": 32972, + ">>>>>>": 48947, + ">>>>>>>>": 41947, + ">_": 44144, + "?": 30, + "?!": 9785, + "?!!": 25342, + "?!\"": 29315, + "?!": 2835, + "?!?!": 16349, + "?!?!?!": 49084, + "?!?!?": 37619, + "?!?": 11395, + "?\"": 3283, + "?#": 24018, + "?'": 13610, + "?)": 9626, + "?,": 41628, + "?...": 22641, + "?..": 43905, + "?.": 41251, + "?:": 21067, + "?": 286, + "??": 5195, + "??!!": 43219, + "??!": 37341, + "??\"": 44996, + "??": 2197, + "???": 40017, + "???": 3824, + "????": 15936, + "????": 10362, + "?????": 21370, + "??????": 34589, + "????????": 45091, + "?@": 29258, + "?ðŁ¤Ķ": 47928, + "@": 31, + "@#": 39397, + "@.": 43730, + "@/": 28639, + "@": 287, + "@@": 30314, + "@_": 2692, + "@__": 17042, + "@___": 48308, + "A": 32, + "A": 288, + "B": 33, + "B": 289, + "C": 34, + "C": 290, + "D": 35, + "D": 291, + "E": 36, + "E": 292, + "F": 37, + "F": 293, + "G": 38, + "G": 294, + "H": 39, + "H": 295, + "I": 40, + "I": 296, + "J": 41, + "J": 297, + "K": 42, + "K": 298, + "L": 43, + "L": 299, + "M": 44, + "M": 300, + "N": 45, + "N": 301, + "O": 46, + "O": 302, + "P": 47, + "P": 303, + "Q": 48, + "Q": 304, + "R": 49, + "R": 305, + "S": 50, + "S": 306, + "T": 51, + "T": 307, + "U": 52, + "U": 308, + "V": 53, + "V": 309, + "W": 54, + "W": 310, + "X": 55, + "X": 311, + "Y": 56, + "Y": 312, + "Z": 57, + "Z": 313, + "[": 58, + "[#": 11115, + "[...": 39975, + "[...]": 43790, + "[": 314, + "[@": 15148, + "[]": 22240, + "\\": 59, + "\\'": 41239, + "\\": 315, + "]": 60, + "]\"": 39434, + "],": 34067, + "].": 26262, + "]:": 21641, + "]": 316, + "][#": 39009, + "][": 29329, + "^": 61, + "^)": 30720, + "^-": 43516, + "^.": 31552, + "^.^": 35791, + "^": 317, + "^^": 34454, + "^^": 9064, + "^_": 14423, + "^_^": 15995, + "_": 62, + "_'": 44701, + "_(": 36951, + "_)": 37393, + "_*": 36237, + "_,": 31417, + "_-": 23193, + "_.": 26841, + "_/": 37647, + "_:": 13109, + "_": 318, + "__": 2355, + "__:": 47043, + "__": 3838, + "___": 43812, + "___": 13530, + "____": 4727, + "____": 25350, + "_____": 38803, + "________": 9549, + "________________": 20115, + "`": 63, + "`": 319, + "a": 64, + "a": 320, + "aa": 1821, + "aa": 3894, + "aaa": 14376, + "aaa": 9583, + "aaaa": 6727, + "aaaa": 19336, + "aaaaa": 31095, + "aaaaaa": 44413, + "aaaaaaaa": 23126, + "aaaah": 49151, + "aaah": 35856, + "aaay": 37846, + "aab": 34108, + "aac": 23251, + "aac": 11346, + "aad": 20464, + "aad": 35894, + "aaf": 37638, + "aaf": 31534, + "aag": 42174, + "aah": 28990, + "aaj": 28727, + "aaj": 43411, + "aak": 37739, + "aal": 22268, + "aal": 30208, + "aali": 27896, + "aaliyah": 46577, + "aam": 12943, + "aam": 22775, + "aama": 45018, + "aamaadmi": 45563, + "aamaadmiparty": 46406, + "aamir": 27456, + "aan": 20705, + "aan": 13426, + "aand": 38054, + "aap": 12023, + "aap": 12052, + "aapl": 34516, + "aar": 4695, + "aar": 13234, + "aard": 46932, + "aaron": 13948, + "aaron": 7709, + "aas": 28542, + "aas": 32205, + "aat": 34018, + "aat": 35004, + "aau": 35426, + "aay": 38281, + "aay": 40249, + "aaz": 26770, + "ab": 596, + "ab": 3937, + "aba": 44204, + "aba": 11102, + "abad": 33444, + "abad": 7155, + "aban": 41662, + "aband": 8595, + "abandon": 28805, + "abandoned": 11227, + "abar": 17860, + "abar": 39805, + "abas": 25402, + "abay": 43542, + "abb": 38954, + "abb": 38297, + "abba": 30870, + "abbas": 37494, + "abbas": 24412, + "abbey": 31927, + "abbey": 10132, + "abbie": 39949, + "abbo": 13536, + "abbot": 44046, + "abbott": 43737, + "abbott": 15649, + "abbrevi": 44843, + "abby": 30586, + "abby": 14694, + "abc": 13137, + "abc": 5334, + "abcnews": 31566, + "abd": 44093, + "abdel": 46511, + "abdomin": 35335, + "abdominal": 39328, + "abdu": 13361, + "abduc": 17884, + "abducted": 31520, + "abduction": 36984, + "abdul": 14227, + "abdul": 15593, + "abdullah": 21317, + "abe": 15856, + "abe": 12734, + "abee": 36037, + "abel": 31938, + "abel": 25318, + "abella": 46156, + "aben": 40865, + "aber": 7828, + "aber": 41867, + "aberdeen": 30539, + "aberdeen": 17236, + "abh": 27484, + "abh": 33649, + "abhcosmetics": 49189, + "abhi": 18113, + "abhin": 44045, + "abhishek": 44502, + "abi": 16867, + "abi": 14161, + "abia": 48604, + "abide": 49163, + "abig": 20863, + "abigail": 25686, + "abil": 21135, + "abilities": 8724, + "ability": 35146, + "ability": 3024, + "abit": 48668, + "ablanc": 33716, + "able": 10102, + "able": 863, + "abled": 10655, + "ableg": 24055, + "ables": 8486, + "ableton": 47169, + "ably": 6748, + "abnormal": 40934, + "abo": 2889, + "abo": 21861, + "aboard": 11661, + "abol": 31768, + "abolic": 46827, + "abolish": 47403, + "aboo": 42433, + "abor": 8416, + "aboriginal": 20422, + "abortion": 12336, + "abortions": 43218, + "aboss": 46401, + "abou": 36455, + "abou": 44053, + "abound": 41037, + "abour": 46637, + "about": 20204, + "about": 781, + "abouts": 36339, + "above": 35019, + "above": 4348, + "aboy": 37077, + "abpoli": 44779, + "abq": 38767, + "abr": 44932, + "abra": 10694, + "abra": 35087, + "abraham": 40623, + "abraham": 15869, + "abram": 33255, + "abrams": 29852, + "abre": 22472, + "abre": 46756, + "abri": 28605, + "abridged": 45333, + "abroad": 11253, + "abru": 46295, + "abs": 18431, + "abs": 11109, + "absc": 25389, + "abscbn": 44260, + "abscbn": 45810, + "absen": 32453, + "absence": 19240, + "absent": 30363, + "absol": 4624, + "absolu": 7055, + "absolut": 4666, + "absolute": 7501, + "absolutely": 4703, + "absor": 14303, + "absorb": 35806, + "absorbed": 45059, + "absorbing": 46412, + "absorption": 42210, + "abstr": 7530, + "abstract": 23885, + "abstract": 10197, + "abstractart": 31170, + "abstraction": 47696, + "abstracts": 40065, + "absur": 21639, + "absurd": 29757, + "abt": 9850, + "abu": 9167, + "abu": 11787, + "abud": 20180, + "abudha": 21450, + "abudhabi": 25256, + "abuja": 23371, + "abun": 20544, + "abundance": 23236, + "abundant": 31611, + "abur": 23377, + "aburger": 46660, + "abuse": 7678, + "abused": 23855, + "abuses": 37132, + "abusing": 36558, + "abusive": 26858, + "abv": 34172, + "aby": 16342, + "aby": 31378, + "abyss": 33632, + "abz": 42292, + "ac": 546, + "ac": 2816, + "aca": 9213, + "acab": 41388, + "acacia": 44047, + "acad": 32537, + "acade": 2892, + "academia": 22662, + "academic": 31178, + "academic": 7935, + "academics": 26417, + "academies": 42569, + "academy": 29968, + "academy": 4041, + "acadi": 41455, + "acadia": 49236, + "acam": 26172, + "acan": 42227, + "acan": 26318, + "acap": 32357, + "acar": 22232, + "acare": 16961, + "acc": 26805, + "acc": 9318, + "acca": 30883, + "acce": 8564, + "acceler": 10161, + "accelerate": 23619, + "accelerated": 38513, + "accelerating": 41821, + "acceleration": 39387, + "accelerator": 25261, + "accent": 28110, + "accent": 18931, + "accents": 31738, + "accenture": 41853, + "accep": 4616, + "accept": 16447, + "accept": 9338, + "acceptable": 14209, + "acceptance": 17090, + "accepted": 9159, + "accepting": 12855, + "accepts": 22338, + "access": 7596, + "access": 3822, + "accessi": 10787, + "accessibility": 23407, + "accessible": 13977, + "accessing": 46339, + "accessories": 10220, + "accessory": 20417, + "acci": 4263, + "acci": 33943, + "accident": 6608, + "accidental": 24895, + "accidentally": 11061, + "accidents": 22072, + "acclaimed": 21172, + "acco": 44730, + "accol": 33858, + "accolades": 46731, + "accom": 23658, + "accommo": 34495, + "accommod": 14386, + "accommodate": 34708, + "accommodation": 18066, + "accommodations": 45536, + "accomp": 24985, + "accompan": 14746, + "accompanied": 20715, + "accompany": 34142, + "accompanying": 38179, + "accompli": 10205, + "accomplish": 25542, + "accomplished": 16462, + "accomplishment": 26100, + "accomplishments": 24965, + "accor": 4182, + "accord": 34293, + "accord": 28513, + "according": 4717, + "accordingly": 35535, + "accordion": 48760, + "accoun": 3081, + "account": 18424, + "account": 4684, + "accountability": 19377, + "accountable": 24216, + "accountant": 31026, + "accountants": 37222, + "accounted": 43951, + "accounting": 14805, + "accounts": 9974, + "accra": 31900, + "accred": 17451, + "accreditation": 27015, + "accredited": 27647, + "acct": 45569, + "accu": 5618, + "accumul": 19275, + "accumulation": 37112, + "accur": 6551, + "accuracy": 18423, + "accurate": 8858, + "accurately": 24206, + "accusations": 33615, + "accuse": 39414, + "accused": 9434, + "accuses": 27496, + "accusing": 41474, + "acdc": 45067, + "ace": 2675, + "ace": 804, + "acea": 35219, + "aceae": 38153, + "acele": 40868, + "aceous": 33610, + "acer": 37990, + "acer": 25809, + "aces": 5725, + "acet": 28735, + "acf": 38389, + "ach": 972, + "ach": 987, + "acha": 22686, + "acharya": 45780, + "achat": 32706, + "ache": 27771, + "ache": 7214, + "ached": 17048, + "acher": 38442, + "acher": 17936, + "achers": 25051, + "aches": 14823, + "achi": 3264, + "achi": 9087, + "achiev": 8160, + "achieve": 14798, + "achieve": 8175, + "achieved": 12359, + "achievement": 8245, + "achievements": 16114, + "achiever": 46286, + "achievers": 44544, + "achieves": 40123, + "achieving": 16120, + "achilles": 33327, + "achim": 42335, + "aching": 12864, + "acho": 33130, + "achs": 41195, + "aci": 4359, + "aci": 34100, + "acia": 30163, + "acial": 32422, + "acid": 35474, + "acid": 10085, + "acidity": 48800, + "acids": 27751, + "acies": 20162, + "acin": 39442, + "acing": 9442, + "acio": 26202, + "acion": 44965, + "acion": 24968, + "acional": 26435, + "aciones": 35832, + "acious": 16020, + "acity": 7511, + "ación": 38175, + "ack": 877, + "ack": 725, + "acked": 5698, + "acker": 31201, + "acker": 7940, + "ackeray": 41843, + "acki": 42857, + "acking": 5515, + "ackles": 28503, + "acknow": 13563, + "acknowle": 18100, + "acknowledge": 25209, + "acknowledged": 35913, + "acknowledges": 49083, + "acknowledging": 45645, + "acks": 3858, + "acl": 47593, + "acl": 23073, + "acle": 6504, + "acles": 34164, + "aclu": 37354, + "acm": 39317, + "acmilan": 36500, + "acne": 24195, + "aco": 9463, + "aco": 8800, + "acol": 17431, + "acollege": 43468, + "acom": 17224, + "acom": 22342, + "acon": 11621, + "acon": 11571, + "aconf": 38851, + "acons": 31599, + "acor": 22076, + "acorn": 37537, + "acos": 39943, + "acosta": 31994, + "acou": 8794, + "acoun": 31295, + "acounty": 45449, + "acoustic": 10616, + "acoustics": 43873, + "acp": 19627, + "acqu": 7946, + "acquainted": 40713, + "acqui": 12194, + "acquire": 21576, + "acquired": 15932, + "acquires": 27376, + "acquiring": 42785, + "acquis": 14207, + "acquisition": 16543, + "acquisitions": 39649, + "acr": 43648, + "acre": 26749, + "acre": 9493, + "acres": 11630, + "acro": 21060, + "acrob": 40891, + "acron": 37770, + "across": 2500, + "acrosse": 40979, + "acruz": 40455, + "acry": 10440, + "acrylic": 12252, + "acs": 11782, + "act": 10305, + "act": 1393, + "acted": 10971, + "acti": 4786, + "acting": 6319, + "action": 12493, + "action": 1816, + "actions": 6271, + "activ": 3430, + "activate": 26737, + "activated": 22249, + "activation": 26769, + "active": 19009, + "active": 4046, + "actively": 18645, + "activi": 7230, + "activism": 20117, + "activist": 10850, + "activists": 12649, + "activities": 6514, + "activity": 6206, + "actment": 44807, + "acton": 36167, + "acton": 36697, + "actonclimate": 43797, + "actor": 12181, + "actor": 4035, + "actors": 9255, + "actorslife": 25117, + "actorvijay": 34033, + "actress": 5805, + "actresses": 33639, + "acts": 6816, + "actu": 2375, + "actual": 7488, + "actually": 2955, + "acu": 9204, + "acu": 48475, + "aculture": 38145, + "acup": 30869, + "acup": 27278, + "acupuncture": 40043, + "acur": 44719, + "acura": 30120, + "acus": 33710, + "acute": 19734, + "acy": 18717, + "acy": 2356, + "ad": 594, + "ad": 680, + "ada": 25785, + "ada": 1886, + "adaily": 47254, + "adal": 46646, + "adam": 6037, + "adam": 4944, + "adamlambert": 27659, + "adams": 7942, + "adan": 41802, + "adani": 37499, + "adap": 6341, + "adapt": 22666, + "adaptation": 16566, + "adapted": 26657, + "adapter": 21839, + "adapting": 44120, + "adaptive": 28672, + "adar": 27702, + "adar": 32681, + "adas": 23250, + "adata": 39500, + "aday": 31367, + "aday": 10280, + "adays": 24337, + "adb": 45630, + "adc": 38201, + "add": 19408, + "add": 3536, + "addams": 38912, + "added": 4149, + "adder": 47557, + "addi": 36378, + "addic": 5709, + "addict": 14614, + "addicted": 16275, + "addiction": 11751, + "addictive": 29638, + "addicts": 29997, + "adding": 8676, + "addis": 43911, + "addison": 32369, + "additi": 26927, + "addition": 6698, + "additional": 10666, + "additions": 22575, + "additive": 48546, + "addo": 40001, + "address": 5834, + "addressed": 20817, + "addresses": 12702, + "addressing": 10594, + "adds": 9944, + "addy": 24746, + "ade": 2194, + "ade": 1928, + "adecides": 46374, + "aded": 9994, + "adee": 47054, + "adel": 4434, + "adel": 27308, + "adelaide": 38193, + "adelaide": 11611, + "adele": 42843, + "adele": 21220, + "adelrey": 43627, + "ademy": 49123, + "aden": 28669, + "aden": 28688, + "adena": 23648, + "adequ": 18232, + "adequate": 22281, + "ader": 21365, + "adero": 49185, + "aders": 27672, + "ades": 5793, + "adh": 42301, + "adhd": 32649, + "adhe": 21175, + "adhesive": 38429, + "adi": 2486, + "adi": 8779, + "adia": 26874, + "adic": 36780, + "adid": 8086, + "adidas": 22396, + "adidas": 9589, + "adidasoriginals": 48575, + "adies": 45834, + "adifference": 37217, + "adilla": 41167, + "ading": 15000, + "adio": 15060, + "adirond": 36843, + "adish": 49009, + "adity": 28596, + "aditya": 37186, + "adityanath": 44437, + "adjac": 32517, + "adjacent": 33836, + "adjec": 45512, + "adju": 16413, + "adjun": 45995, + "adjust": 13784, + "adjust": 28073, + "adjustable": 20476, + "adjusted": 30515, + "adjusting": 41132, + "adjustment": 36081, + "adjustments": 36331, + "adl": 49351, + "adler": 30222, + "adm": 9892, + "adm": 33604, + "admi": 11666, + "admin": 12528, + "admini": 6434, + "administr": 12174, + "administration": 9502, + "administrative": 22424, + "administrator": 22603, + "administrators": 36123, + "admins": 49297, + "admir": 17031, + "admiral": 21013, + "admiration": 39569, + "admire": 17791, + "admired": 36103, + "admirer": 48344, + "admiring": 29835, + "admission": 11315, + "admissions": 22463, + "admit": 13769, + "admits": 16332, + "admitted": 20427, + "admitting": 46148, + "adn": 40339, + "adnan": 42037, + "ado": 4775, + "ado": 2933, + "adobe": 29256, + "adobe": 16484, + "adog": 44913, + "adol": 33512, + "adole": 22704, + "adolescent": 36793, + "adolescents": 45656, + "adolf": 41179, + "adon": 25907, + "adona": 48419, + "adop": 4183, + "adopt": 16441, + "adopt": 11159, + "adoptable": 36905, + "adoptdont": 19674, + "adoptdontshop": 20089, + "adopted": 12538, + "adopting": 30158, + "adoption": 11544, + "adopts": 40853, + "ador": 4992, + "ador": 9162, + "adora": 40031, + "adorable": 6298, + "adoration": 46781, + "adore": 15502, + "adored": 49233, + "adores": 30290, + "adorned": 44953, + "ados": 20079, + "adox": 32188, + "adp": 44426, + "adr": 46189, + "adren": 24204, + "adrenaline": 35552, + "adri": 5935, + "adrian": 25012, + "adrian": 13163, + "adriana": 41363, + "adrid": 26562, + "adrien": 47469, + "adrienne": 40081, + "ads": 2485, + "adu": 16882, + "adu": 24446, + "adukone": 30511, + "adul": 7222, + "adult": 42209, + "adult": 7115, + "adulthood": 40964, + "adults": 9391, + "adv": 1647, + "adv": 21018, + "advan": 33411, + "advance": 27291, + "advance": 7022, + "advanced": 7465, + "advancement": 35437, + "advances": 15852, + "advancing": 21355, + "advani": 48189, + "advant": 7017, + "advantage": 8573, + "advantaged": 38361, + "advantages": 23506, + "adven": 41670, + "advent": 3071, + "advent": 15199, + "adventcalendar": 43492, + "adventur": 29627, + "adventure": 17251, + "adventure": 4377, + "adventurer": 48098, + "adventures": 7941, + "adventurous": 31179, + "adver": 4806, + "adverse": 30348, + "adversity": 32516, + "advert": 19080, + "adverti": 5682, + "advertise": 31473, + "advertised": 38987, + "advertisement": 18713, + "advertiser": 41829, + "advertisers": 45472, + "advertising": 8158, + "adverts": 44306, + "advice": 4973, + "advis": 4634, + "advise": 25962, + "advised": 23196, + "adviser": 20367, + "advisers": 40984, + "advises": 42761, + "advising": 39648, + "advisor": 12380, + "advisors": 23197, + "advisory": 10224, + "advoc": 6657, + "advocacy": 14443, + "advocate": 12044, + "advocates": 17757, + "adwords": 48343, + "ady": 41446, + "ady": 8781, + "ae": 5548, + "ae": 4542, + "aea": 37048, + "aed": 26912, + "aege": 42304, + "ael": 41533, + "ael": 43340, + "aen": 43085, + "aer": 10195, + "aeri": 27685, + "aerial": 44866, + "aerial": 12440, + "aero": 10196, + "aero": 25026, + "aerob": 42824, + "aeron": 37286, + "aeronau": 42816, + "aerop": 27735, + "aerosmith": 43253, + "aerospace": 20530, + "aes": 10617, + "aes": 35677, + "aest": 40694, + "aesthe": 21181, + "aesthetic": 16179, + "aesthetics": 29295, + "aew": 47108, + "af": 702, + "af": 4391, + "afa": 24953, + "afan": 47474, + "afar": 41637, + "afar": 37866, + "afb": 27022, + "afc": 29742, + "afc": 6571, + "afcb": 44276, + "afcon": 30019, + "afd": 44626, + "afe": 30487, + "afe": 13912, + "afer": 44707, + "aff": 8849, + "aff": 14864, + "affair": 13998, + "affairs": 9830, + "affe": 4556, + "affect": 11361, + "affected": 9715, + "affecting": 18448, + "affection": 33780, + "affection": 28381, + "affectionate": 42578, + "affects": 17285, + "affili": 12120, + "affiliate": 18652, + "affiliated": 37540, + "affiliation": 48377, + "affinity": 41451, + "affir": 25343, + "affirm": 42711, + "affirm": 48625, + "affirmation": 47495, + "affl": 34036, + "affleck": 35584, + "afford": 7951, + "afford": 13223, + "affordability": 44828, + "affordable": 43944, + "affordable": 8926, + "afg": 33994, + "afgh": 9029, + "afghan": 15919, + "afghanistan": 9836, + "afi": 24074, + "afi": 31958, + "afil": 27209, + "afire": 42010, + "afirst": 38601, + "afl": 15132, + "afl": 14356, + "aflo": 41959, + "afm": 38385, + "afootball": 41694, + "afor": 43102, + "afore": 41468, + "afp": 18311, + "afraid": 9474, + "afri": 13888, + "afric": 2136, + "africa": 3093, + "african": 17471, + "african": 4736, + "africans": 26534, + "afridi": 37651, + "afrika": 45833, + "afrin": 45586, + "afro": 16267, + "afro": 21795, + "afs": 48960, + "aft": 22693, + "after": 2278, + "after": 953, + "afterdark": 48966, + "afterlife": 46790, + "aftermath": 20958, + "afterno": 22330, + "afternoon": 39035, + "afternoon": 2716, + "afternoons": 31631, + "afterparty": 35305, + "afterwards": 23911, + "ag": 602, + "ag": 5241, + "aga": 1050, + "aga": 4654, + "again": 1495, + "against": 23838, + "against": 1601, + "agame": 46943, + "agan": 42946, + "agan": 9178, + "agar": 13199, + "agar": 17544, + "agarwal": 43117, + "agas": 20430, + "agate": 25454, + "agatha": 43896, + "agave": 42671, + "agawa": 39433, + "agazine": 44942, + "age": 4758, + "age": 805, + "aged": 3889, + "ageing": 25349, + "agen": 10101, + "agen": 43696, + "agencies": 13887, + "agency": 44885, + "agency": 6270, + "agend": 48653, + "agenda": 8728, + "agent": 21210, + "agent": 6576, + "agents": 10199, + "agentsof": 37074, + "agentsofshield": 38801, + "ager": 44847, + "ager": 10443, + "agers": 22123, + "ages": 2321, + "agg": 45482, + "aggarwal": 39386, + "agger": 27836, + "aggi": 36844, + "aggie": 44244, + "aggie": 37618, + "aggies": 31047, + "aggio": 36685, + "aggrav": 35203, + "aggre": 10426, + "aggreg": 41968, + "aggregate": 41318, + "aggression": 28900, + "aggressive": 16295, + "aggressively": 48667, + "agh": 17917, + "agh": 14402, + "aghan": 31276, + "agi": 24036, + "agi": 17645, + "agic": 37652, + "agile": 16276, + "agility": 32161, + "aging": 4336, + "agio": 41746, + "agirl": 35469, + "agle": 37035, + "agle": 16702, + "agles": 36374, + "agles": 22679, + "aglia": 46912, + "agm": 19162, + "agn": 36474, + "agna": 43626, + "agne": 29374, + "agne": 48303, + "agnes": 26213, + "agno": 41540, + "ago": 6276, + "ago": 1468, + "agomez": 27127, + "agon": 26775, + "agon": 14901, + "agony": 36977, + "agor": 38920, + "agos": 32657, + "agov": 34227, + "agp": 46048, + "agr": 36639, + "agra": 26660, + "agra": 29830, + "agram": 2447, + "agre": 3180, + "agreat": 37594, + "agree": 5953, + "agreed": 12774, + "agreeing": 40720, + "agreement": 8286, + "agreements": 25865, + "agrees": 17854, + "agri": 20527, + "agri": 30326, + "agricul": 7234, + "agricultural": 15440, + "agriculture": 9720, + "agro": 33178, + "agro": 44589, + "agron": 41314, + "agroup": 40099, + "ags": 16926, + "agt": 39681, + "agu": 3922, + "agu": 36544, + "agua": 18482, + "aguchi": 49206, + "ague": 2095, + "aguero": 42964, + "agues": 7000, + "aguil": 27946, + "aguilar": 44715, + "ah": 1772, + "ah": 1288, + "aha": 12082, + "aha": 8429, + "ahah": 38661, + "ahaha": 32423, + "ahahaha": 42620, + "aham": 36036, + "ahan": 45061, + "ahan": 19255, + "ahar": 31038, + "ahar": 38760, + "ahe": 27688, + "ahead": 3158, + "ahem": 39995, + "ahh": 13152, + "ahhh": 14769, + "ahhhh": 21054, + "ahhhhh": 36392, + "ahi": 45349, + "ahi": 24154, + "ahl": 30433, + "ahmad": 32167, + "ahmad": 16902, + "ahmadi": 38656, + "ahmadiyya": 44865, + "ahmed": 19491, + "ahmed": 12081, + "ahmedabad": 26966, + "ahn": 33405, + "aho": 28114, + "aho": 38444, + "ahora": 43113, + "ahouse": 33197, + "ahoy": 38652, + "ahs": 16937, + "ahu": 11908, + "ahu": 16515, + "ai": 2014, + "ai": 2215, + "aia": 27046, + "aib": 34780, + "aic": 29454, + "aid": 13723, + "aid": 5182, + "aida": 33830, + "aidan": 48814, + "aidan": 26945, + "aide": 31558, + "aide": 9746, + "aided": 48707, + "aiden": 40020, + "aides": 49082, + "aids": 11759, + "aig": 27295, + "aig": 46989, + "aii": 22478, + "aik": 42575, + "aiken": 46342, + "ail": 1457, + "ail": 9154, + "ailed": 38919, + "ailing": 29999, + "ails": 27024, + "aim": 6787, + "aim": 11255, + "aime": 39872, + "aimed": 20247, + "aimee": 36318, + "aiming": 21768, + "aimo": 36706, + "aims": 13326, + "ain": 8326, + "ain": 2210, + "aine": 48983, + "aine": 17634, + "ains": 27621, + "aint": 29543, + "aint": 13099, + "ainted": 39933, + "aioli": 43949, + "air": 1281, + "air": 1922, + "aira": 35085, + "aira": 46444, + "airasia": 48020, + "airbnb": 23098, + "airborne": 22755, + "airbus": 15324, + "aircraft": 7706, + "airdrop": 38434, + "aire": 7682, + "aired": 21938, + "aires": 17034, + "airfield": 40525, + "airforce": 23511, + "airing": 20453, + "airline": 14847, + "airlines": 8929, + "airmen": 44499, + "airplane": 16451, + "airplanes": 33319, + "airplay": 47024, + "airpollution": 47362, + "airport": 48337, + "airport": 3259, + "airports": 21543, + "airs": 18539, + "airshow": 27139, + "airsoft": 30134, + "airspace": 49280, + "airstrikes": 37220, + "airtel": 34784, + "airtime": 46617, + "airwaves": 43910, + "airways": 14299, + "airy": 44453, + "ais": 7616, + "ais": 11393, + "aise": 30505, + "aish": 21946, + "aisha": 40211, + "aishwar": 29687, + "aishwarya": 44019, + "aisle": 26917, + "ait": 25613, + "ait": 40814, + "aj": 3990, + "aj": 6342, + "aja": 42343, + "aja": 19633, + "ajax": 21933, + "ajay": 22494, + "ajay": 28726, + "ajaydevgn": 35515, + "aje": 48818, + "aje": 33315, + "ajes": 38791, + "aji": 26102, + "aji": 21153, + "ajit": 42261, + "ajith": 24118, + "ajo": 26958, + "aju": 36855, + "ak": 819, + "ak": 1196, + "aka": 19154, + "aka": 3412, + "akaif": 45736, + "akan": 43678, + "akan": 38244, + "akapoor": 40064, + "akarta": 48603, + "akb": 41962, + "akbar": 27180, + "ake": 10558, + "ake": 5776, + "aked": 6115, + "aker": 14245, + "aker": 3074, + "akers": 5788, + "akes": 4764, + "akest": 46679, + "akh": 14821, + "akh": 30660, + "akhan": 28158, + "akhi": 41660, + "akhilesh": 48495, + "akhtar": 45458, + "aki": 18173, + "aki": 6592, + "akin": 24630, + "akin": 13601, + "aking": 1809, + "akins": 48568, + "akira": 34001, + "akis": 27732, + "akistan": 46221, + "akley": 39908, + "ako": 44027, + "ako": 14541, + "akon": 47105, + "akos": 44659, + "akrish": 37434, + "akron": 26115, + "aks": 2953, + "aksh": 28226, + "akshay": 21483, + "akshay": 38914, + "akshaykumar": 23624, + "akshi": 42634, + "aku": 18151, + "aku": 20815, + "aky": 11977, + "al": 526, + "al": 566, + "ala": 12783, + "ala": 3449, + "alab": 6365, + "alabam": 45880, + "alabama": 8422, + "alach": 24622, + "alad": 23074, + "aladdin": 29951, + "alai": 47072, + "alain": 28999, + "alam": 16612, + "alam": 16012, + "alamo": 41922, + "alamo": 34632, + "alan": 9563, + "alan": 5773, + "alana": 43405, + "aland": 34304, + "aland": 6819, + "alar": 34333, + "alarm": 11321, + "alarming": 37209, + "alarms": 31236, + "alarts": 31422, + "alas": 7276, + "alas": 22412, + "alaska": 9562, + "alaskan": 33898, + "alastair": 42062, + "alay": 30289, + "alay": 36450, + "alaya": 36397, + "alb": 45248, + "alba": 25254, + "alban": 10882, + "albania": 29170, + "albanian": 47721, + "albans": 44119, + "albany": 17359, + "albat": 42797, + "albeit": 38984, + "alber": 6413, + "albert": 34174, + "albert": 9507, + "alberta": 11048, + "alberto": 22714, + "albi": 18512, + "albino": 48062, + "albion": 24071, + "albu": 2216, + "album": 40712, + "album": 2431, + "albums": 10705, + "albuquerque": 31079, + "alcat": 35361, + "alche": 37909, + "alchemist": 38913, + "alchemy": 39501, + "alco": 6848, + "alco": 45446, + "alcohol": 9426, + "alcoholic": 25098, + "ald": 4539, + "ald": 2928, + "alda": 46440, + "alde": 33114, + "alden": 17155, + "alden": 27710, + "aldenrichards": 20051, + "alder": 18220, + "alder": 46571, + "aldi": 23204, + "aldo": 9933, + "aldridge": 38084, + "alds": 14285, + "aldu": 6505, + "aldub": 10532, + "aldub": 15247, + "ale": 1440, + "ale": 1336, + "alea": 26518, + "aleague": 38909, + "alec": 29804, + "alec": 19954, + "alecoscino": 47948, + "aled": 4970, + "alee": 24515, + "alej": 23440, + "alejandro": 32950, + "alek": 26906, + "alek": 43310, + "aleksand": 48429, + "alem": 11825, + "aleppo": 19258, + "aler": 25674, + "aler": 27335, + "alert": 4662, + "alerts": 22144, + "ales": 44171, + "ales": 5962, + "aless": 21864, + "alessandro": 37344, + "alestine": 31945, + "alex": 2959, + "alex": 4134, + "alexa": 16273, + "alexand": 10696, + "alexander": 25527, + "alexander": 7563, + "alexandra": 19054, + "alexandre": 35711, + "alexandria": 21171, + "alexis": 35023, + "alexis": 14243, + "aley": 21635, + "alf": 27098, + "alfa": 23482, + "alfar": 38870, + "alfie": 28598, + "alfon": 31947, + "alfonso": 41784, + "alfre": 20982, + "alfred": 16553, + "alfredo": 32291, + "algae": 25654, + "algar": 36291, + "algarve": 40290, + "alge": 24336, + "algebra": 33694, + "alger": 18568, + "algeria": 25257, + "algon": 33007, + "algori": 14912, + "algorithm": 23295, + "algorithms": 26039, + "alham": 23352, + "alhamdulil": 35129, + "alhamdulillah": 38982, + "ali": 835, + "ali": 3558, + "alia": 2492, + "aliaa": 36468, + "alian": 3464, + "alias": 40026, + "alibaba": 39231, + "alic": 25265, + "alice": 23759, + "alice": 9192, + "alici": 31630, + "alicia": 20914, + "alie": 8697, + "alien": 22846, + "alien": 9639, + "aliens": 14883, + "alier": 39493, + "alies": 38086, + "alife": 41347, + "alife": 21100, + "alig": 21272, + "alight": 36157, + "align": 31160, + "aligned": 29292, + "alignment": 27267, + "alik": 31141, + "alike": 12665, + "alim": 42075, + "alin": 42746, + "alin": 40063, + "alina": 39529, + "aline": 21799, + "aling": 5169, + "alion": 19049, + "alis": 21308, + "alis": 20114, + "alisa": 38918, + "alisation": 42143, + "alise": 36718, + "alised": 25099, + "alism": 5607, + "alison": 28653, + "alison": 16970, + "alist": 44900, + "alist": 3320, + "alistair": 40551, + "alistic": 22302, + "alists": 5653, + "alit": 45566, + "alities": 27925, + "ality": 1694, + "alive": 40467, + "alive": 4716, + "aliz": 30979, + "alization": 8026, + "alize": 10268, + "alized": 6141, + "alizer": 38922, + "alizes": 26181, + "alizing": 13023, + "alk": 30246, + "alk": 21577, + "alkal": 33450, + "alkaline": 39210, + "all": 813, + "all": 615, + "alla": 13884, + "alla": 14000, + "allabout": 43996, + "allah": 6378, + "allan": 36552, + "allan": 15404, + "allblacks": 47728, + "allday": 35862, + "alle": 4870, + "alle": 29478, + "alled": 7379, + "alleg": 7456, + "allegations": 16992, + "alleged": 12133, + "allegedly": 14177, + "alleges": 45051, + "allegh": 41479, + "allegheny": 47851, + "allegi": 28832, + "allegiance": 30955, + "allen": 16712, + "allen": 6386, + "allenge": 31387, + "aller": 10116, + "aller": 30630, + "allergic": 28809, + "allergies": 28247, + "allergy": 24408, + "allery": 32542, + "alles": 43354, + "allevi": 31682, + "alleviate": 44799, + "alley": 36205, + "alley": 10329, + "allez": 49137, + "alli": 4123, + "alli": 15268, + "alliance": 45404, + "alliance": 8945, + "alliances": 48403, + "allianz": 45740, + "allie": 25040, + "allied": 20045, + "allies": 17277, + "alligator": 28574, + "allin": 45007, + "allin": 22395, + "alline": 48182, + "alling": 2992, + "allis": 45309, + "allison": 34602, + "allison": 16578, + "allman": 42611, + "allo": 8107, + "allo": 18389, + "allocated": 42716, + "allocation": 35139, + "allon": 46693, + "allot": 26363, + "allotment": 33750, + "allow": 5645, + "allow": 6722, + "allowance": 35696, + "allowed": 7885, + "allowing": 12458, + "allows": 9966, + "alloy": 22467, + "alls": 1997, + "allstar": 31247, + "allstar": 22974, + "allstars": 31198, + "allthe": 29253, + "allu": 20157, + "alluarjun": 39333, + "allure": 41814, + "ally": 7461, + "ally": 769, + "alm": 28303, + "alma": 32933, + "alma": 18337, + "alman": 29394, + "almanac": 41268, + "almighty": 21898, + "almond": 15646, + "almonds": 30468, + "almost": 47534, + "almost": 2671, + "aln": 47203, + "alo": 3435, + "alo": 6183, + "aloe": 30728, + "alog": 15813, + "alogue": 9101, + "aloha": 23160, + "aloils": 49002, + "alom": 22236, + "alon": 14097, + "alon": 42846, + "alone": 4702, + "along": 8300, + "along": 2528, + "alongside": 8646, + "alonso": 25704, + "aloo": 46187, + "alore": 14323, + "alot": 16945, + "alou": 43180, + "aloud": 30028, + "alove": 46669, + "alove": 37045, + "alp": 32020, + "alp": 39342, + "alpac": 30128, + "alpaca": 42561, + "alph": 6720, + "alpha": 11807, + "alpha": 8624, + "alphabe": 45796, + "alphabet": 22335, + "alphon": 37865, + "alpine": 17055, + "alps": 18191, + "already": 2426, + "alright": 10866, + "als": 23982, + "als": 938, + "alsace": 49388, + "also": 1446, + "alt": 9995, + "alt": 10006, + "alta": 24470, + "alta": 25378, + "altaf": 47342, + "altam": 45624, + "altar": 16385, + "alter": 4949, + "alter": 21393, + "altered": 25201, + "altern": 47463, + "alternate": 15926, + "alternati": 16699, + "alternative": 37327, + "alternative": 8248, + "alternatives": 25041, + "alth": 23463, + "alth": 5863, + "although": 9421, + "alti": 35531, + "alties": 17276, + "altitude": 23241, + "altman": 48100, + "alto": 35053, + "alto": 17518, + "altogether": 45689, + "alton": 41331, + "alton": 36550, + "altrin": 38458, + "altrincham": 44718, + "alty": 5546, + "alu": 4776, + "alu": 27991, + "alum": 5404, + "alum": 10553, + "alumin": 14563, + "alumini": 22908, + "aluminium": 23631, + "aluminum": 15251, + "alumna": 30313, + "alumni": 6646, + "alumnus": 23633, + "alums": 30155, + "alv": 20928, + "alvar": 25196, + "alvarez": 26924, + "alvaro": 41941, + "alves": 38547, + "alvin": 27023, + "alway": 14046, + "alway": 43764, + "always": 24997, + "always": 1466, + "alwx": 32768, + "aly": 6468, + "aly": 12910, + "alyn": 49150, + "alyss": 29490, + "alyssa": 18898, + "alz": 12936, + "alz": 41128, + "alzheim": 15212, + "alzheimer": 21151, + "alzheimers": 34592, + "am": 548, + "am": 687, + "ama": 18206, + "ama": 1696, + "amad": 45095, + "amade": 37366, + "amag": 32049, + "amal": 15315, + "amal": 36753, + "aman": 19890, + "aman": 10110, + "amand": 14560, + "amanda": 10036, + "amar": 6424, + "amar": 19607, + "amara": 48522, + "amari": 42565, + "amarillo": 40449, + "amarine": 45591, + "amarketing": 30788, + "amas": 22716, + "amas": 15667, + "amat": 38664, + "amat": 25455, + "amate": 12453, + "amateur": 14287, + "amaya": 47210, + "amaz": 1185, + "amaze": 24846, + "amazed": 18944, + "amazing": 15949, + "amazing": 1370, + "amazingly": 20368, + "amazon": 13630, + "amazon": 4140, + "amb": 9042, + "amb": 16853, + "amba": 27003, + "ambani": 45967, + "ambas": 5634, + "ambassad": 5758, + "ambassador": 6795, + "ambassadors": 16832, + "ambed": 42089, + "ambedkar": 48131, + "amber": 18292, + "amber": 9986, + "ambi": 11844, + "ambient": 23447, + "ambigu": 35702, + "ambition": 20673, + "ambitions": 34152, + "ambitious": 18666, + "ambro": 17585, + "ambrose": 24253, + "ambu": 34423, + "ambul": 13944, + "ambulance": 15555, + "ambush": 40725, + "amc": 24942, + "amc": 16921, + "amd": 20845, + "ame": 3995, + "ame": 780, + "amed": 5660, + "ameen": 24229, + "amel": 31988, + "amel": 10960, + "ameli": 21599, + "amelia": 21433, + "amell": 48198, + "amen": 18716, + "amen": 12335, + "amend": 12425, + "amendment": 15019, + "amendments": 40901, + "amenities": 30096, + "ament": 27528, + "amer": 17081, + "amer": 16147, + "ameri": 40422, + "americ": 1283, + "america": 2224, + "americafirst": 43216, + "american": 8746, + "american": 2151, + "americana": 26221, + "americanair": 42538, + "americani": 39726, + "americans": 6676, + "americas": 33343, + "americas": 18142, + "ames": 5469, + "ameter": 23393, + "amethy": 30291, + "amethyst": 31485, + "amex": 46390, + "amg": 21324, + "amher": 32311, + "amherst": 39065, + "ami": 6100, + "ami": 3065, + "amic": 25824, + "amic": 21383, + "amid": 18908, + "amid": 11953, + "amide": 30952, + "amidst": 25172, + "amie": 36901, + "amig": 40294, + "amiga": 35329, + "amigo": 44991, + "amigos": 28176, + "amii": 35462, + "amiibo": 38871, + "amily": 36732, + "amin": 14337, + "amin": 20235, + "amina": 47531, + "amination": 30355, + "amine": 35823, + "aming": 3507, + "amino": 33464, + "amir": 26029, + "amir": 21973, + "amis": 29829, + "amish": 24958, + "amit": 15083, + "amit": 25255, + "amitabh": 48124, + "amitshah": 32374, + "aml": 43185, + "amma": 29786, + "amman": 29243, + "ammo": 33474, + "ammunition": 35060, + "amn": 24073, + "amne": 14596, + "amnesia": 41741, + "amnesty": 46330, + "amnesty": 21177, + "amo": 4833, + "amo": 11156, + "amodi": 9826, + "amon": 17492, + "amon": 24046, + "among": 12310, + "among": 4265, + "amongst": 12520, + "amoo": 26977, + "amor": 19977, + "amor": 15973, + "amore": 38937, + "amore": 22691, + "amores": 36338, + "amos": 18133, + "amoto": 25492, + "amount": 6403, + "amounts": 16747, + "amour": 29908, + "amovie": 41062, + "amp": 3521, + "amp": 6259, + "amped": 22640, + "amphi": 16379, + "amphibious": 45206, + "amphitheater": 41285, + "amphitheatre": 44039, + "ample": 34162, + "amples": 14536, + "ampli": 15647, + "amplifier": 31743, + "amplify": 45308, + "amps": 19252, + "ampton": 29410, + "ampton": 9347, + "amr": 30916, + "amreading": 16546, + "amrit": 33849, + "ams": 1396, + "amster": 9110, + "amsterdam": 9441, + "amtrak": 27855, + "amu": 11347, + "amu": 32336, + "amur": 35014, + "amura": 35487, + "amus": 36269, + "amuse": 21421, + "amuse": 44367, + "amused": 30212, + "amusement": 32570, + "amusic": 20266, + "amusing": 31789, + "amwriting": 9660, + "amy": 10547, + "amy": 5187, + "an": 514, + "an": 550, + "ana": 6588, + "ana": 1388, + "anab": 34742, + "anada": 27948, + "anag": 12115, + "anagh": 40774, + "anaheim": 23728, + "anak": 34814, + "anak": 38658, + "anal": 2785, + "analo": 34179, + "analog": 19963, + "analogue": 46031, + "analy": 4611, + "analyse": 47246, + "analyses": 39695, + "analysis": 5296, + "analyst": 14198, + "analysts": 28075, + "analytical": 34550, + "analytics": 8558, + "analyze": 28519, + "analyzing": 32107, + "anam": 29525, + "anan": 37215, + "anand": 25073, + "anand": 22083, + "anap": 41566, + "anarch": 46405, + "anarchi": 39879, + "anarchy": 27707, + "anas": 31382, + "anas": 12633, + "anast": 48902, + "anasta": 22915, + "anastasi": 36534, + "anastasia": 37975, + "anat": 10045, + "anath": 31277, + "anatom": 33759, + "anatomy": 15376, + "anc": 1124, + "anc": 17758, + "anca": 14583, + "ance": 7165, + "ance": 884, + "anced": 5071, + "ancer": 17415, + "ancers": 37296, + "ances": 3515, + "ancestor": 43904, + "ancestors": 24405, + "ancestral": 41615, + "ancestry": 30922, + "anch": 9489, + "anche": 34679, + "ancho": 26610, + "anchor": 20030, + "anchor": 13201, + "anchorage": 31950, + "anchored": 45926, + "anchors": 37830, + "anci": 4192, + "ancient": 31495, + "ancient": 5810, + "ancies": 21647, + "ancing": 7797, + "anco": 15459, + "ancy": 16282, + "ancy": 3633, + "and": 672, + "and": 537, + "anda": 2911, + "andalu": 31443, + "andco": 36302, + "ande": 26889, + "ande": 30354, + "ander": 3740, + "ander": 3935, + "anders": 10880, + "andersen": 32661, + "anderson": 26683, + "anderson": 6510, + "andes": 24052, + "andfriends": 36871, + "andhi": 21617, + "andhra": 32452, + "andi": 28870, + "andi": 14354, + "andie": 46318, + "andme": 42831, + "ando": 35950, + "ando": 5986, + "andolan": 48965, + "andon": 36488, + "andor": 45243, + "andover": 44177, + "andr": 22661, + "andra": 46795, + "andra": 21730, + "andre": 2657, + "andre": 9400, + "andrea": 10895, + "andreas": 20444, + "andrei": 42137, + "andres": 25197, + "andretti": 44291, + "andrew": 11717, + "andrew": 4847, + "andrews": 14506, + "andri": 37208, + "andro": 4417, + "andro": 17980, + "android": 24284, + "android": 5191, + "androidgames": 46572, + "andromeda": 42942, + "andré": 35609, + "ands": 32257, + "andthe": 22111, + "andu": 44200, + "andum": 47266, + "andy": 9447, + "andy": 2888, + "ane": 5846, + "ane": 3051, + "anec": 33965, + "anem": 41395, + "anemone": 49019, + "aneous": 48273, + "anes": 15381, + "anese": 48778, + "anesthe": 30622, + "anesthesia": 43353, + "anew": 39084, + "anew": 47341, + "anews": 20919, + "aney": 22387, + "anfield": 26993, + "ang": 883, + "ang": 2704, + "anga": 11641, + "angames": 43178, + "angan": 28264, + "angas": 46180, + "ange": 2960, + "ange": 3039, + "angel": 5029, + "angel": 5130, + "angela": 12354, + "angeles": 7382, + "angeli": 15265, + "angelic": 41038, + "angelica": 38582, + "angelina": 28890, + "angelo": 14342, + "angelou": 41328, + "angels": 7809, + "anger": 32737, + "anger": 6788, + "angerous": 39716, + "angers": 29756, + "angh": 34030, + "angi": 28003, + "angi": 24301, + "angie": 18859, + "angle": 21749, + "angle": 6946, + "angled": 32322, + "angler": 22284, + "anglers": 41608, + "angles": 18627, + "anglesey": 31850, + "anglia": 32076, + "anglic": 28322, + "anglican": 33284, + "angling": 36824, + "anglo": 39515, + "anglo": 30408, + "ango": 19090, + "angola": 36636, + "angor": 41740, + "angp": 19992, + "angry": 33910, + "angry": 9054, + "angs": 18441, + "angst": 41714, + "angu": 11209, + "angular": 43584, + "angular": 24981, + "angularjs": 48608, + "angus": 19688, + "ani": 1326, + "ani": 3624, + "ania": 9866, + "anian": 9945, + "anians": 39393, + "anic": 23113, + "anie": 26697, + "anie": 7671, + "anil": 28589, + "anil": 34619, + "anim": 2190, + "animal": 10697, + "animal": 4668, + "animalrights": 42859, + "animals": 4995, + "animate": 40076, + "animated": 13360, + "animation": 10344, + "animations": 42870, + "animator": 42591, + "anime": 23314, + "anime": 6469, + "anin": 45735, + "aning": 30972, + "anir": 27089, + "anirud": 35278, + "anirudhofficial": 45917, + "anis": 40986, + "anis": 47556, + "anism": 20947, + "anist": 16729, + "anistan": 9727, + "aniston": 47344, + "anit": 23683, + "anita": 18544, + "anium": 14794, + "anj": 22443, + "anja": 43440, + "anjali": 38834, + "anjo": 47353, + "ank": 13339, + "ank": 10029, + "anka": 45324, + "ankara": 34309, + "ankle": 14777, + "ankles": 48688, + "ann": 850, + "ann": 5424, + "anna": 13821, + "anna": 2160, + "annab": 22336, + "annabelle": 47661, + "annah": 39166, + "annah": 14327, + "annak": 41720, + "annan": 32166, + "annapolis": 34491, + "annas": 48467, + "anne": 9139, + "anne": 4083, + "anned": 27352, + "anner": 12642, + "annes": 24343, + "annette": 36821, + "annex": 42958, + "annex": 46389, + "anni": 2438, + "anni": 13728, + "annie": 37270, + "annie": 12173, + "annies": 43184, + "annihil": 32734, + "annis": 24742, + "anniv": 31399, + "anniver": 29671, + "annivers": 42836, + "anniversaire": 30882, + "anniversary": 3048, + "anno": 9901, + "anno": 26871, + "annon": 26385, + "annot": 30411, + "announ": 1806, + "announce": 3682, + "announced": 4103, + "announcement": 6932, + "announcements": 23735, + "announcer": 33626, + "announces": 6500, + "announcing": 11593, + "annoy": 45138, + "annoyed": 29863, + "annoying": 15248, + "annu": 21698, + "annual": 2906, + "annually": 23703, + "anny": 34313, + "anny": 5291, + "ano": 5617, + "ano": 2658, + "anom": 21612, + "anomaly": 46811, + "anon": 47079, + "anon": 13667, + "anonym": 38605, + "anonymous": 15036, + "anoo": 25690, + "anor": 13243, + "anor": 16596, + "anos": 20132, + "another": 29274, + "another": 1380, + "anova": 24116, + "ans": 24586, + "ans": 885, + "ansari": 40748, + "ansel": 40356, + "answ": 3369, + "answe": 14391, + "answer": 4518, + "answered": 14499, + "answering": 18280, + "answers": 8692, + "ant": 1103, + "ant": 773, + "anta": 3023, + "antag": 41745, + "antal": 39355, + "antalya": 47440, + "antan": 32899, + "antarc": 21338, + "antarctic": 27077, + "antarctica": 22587, + "ante": 19311, + "ante": 9769, + "antebellum": 41683, + "antelope": 39177, + "anten": 35517, + "antenna": 26370, + "anter": 46508, + "antes": 14927, + "antgrasso": 39074, + "anth": 3737, + "anth": 29741, + "antha": 47981, + "anthe": 34167, + "anthem": 12504, + "anthi": 45261, + "anthology": 21009, + "anthony": 17477, + "anthony": 6113, + "anthro": 10019, + "anthropo": 18538, + "anthropology": 32407, + "anthus": 37639, + "anti": 3120, + "anti": 3564, + "antibio": 18954, + "antibiotic": 34387, + "antibiotics": 29499, + "antibody": 49018, + "antic": 8260, + "anticip": 11435, + "anticipate": 38280, + "anticipated": 18605, + "anticipating": 48067, + "anticipation": 26983, + "antics": 37126, + "antidote": 45476, + "antifa": 35926, + "antigua": 39910, + "antine": 17641, + "antino": 27818, + "antioxid": 23010, + "antioxidant": 37452, + "antioxidants": 34208, + "antiqu": 21745, + "antique": 46517, + "antique": 9060, + "antiques": 17365, + "antis": 19748, + "antisemitism": 36630, + "antit": 37833, + "antitrust": 49343, + "antlers": 47720, + "antly": 5265, + "anto": 16826, + "anto": 24486, + "antoine": 25188, + "anton": 5497, + "anton": 19644, + "antoni": 39958, + "antonio": 30497, + "antonio": 7842, + "antony": 30707, + "antrim": 40252, + "ants": 1589, + "antv": 47520, + "antw": 44460, + "antwer": 26970, + "antwerp": 33797, + "antz": 25684, + "anu": 8537, + "anu": 17152, + "anup": 29617, + "anus": 27084, + "anush": 22765, + "anushka": 42080, + "anushka": 39822, + "anushkasharma": 44203, + "anwar": 34261, + "anxi": 9021, + "anxiety": 11103, + "anxious": 27793, + "any": 1307, + "any": 1504, + "anya": 11173, + "anybody": 10071, + "anyi": 41632, + "anymore": 7372, + "anyone": 2302, + "anything": 3582, + "anytime": 13924, + "anyway": 8931, + "anyways": 19778, + "anywhere": 8863, + "anz": 14445, + "anz": 19425, + "anza": 14669, + "anzac": 31977, + "ao": 7313, + "ao": 5703, + "aoa": 47119, + "aoc": 31918, + "aofficial": 30840, + "aoki": 33602, + "aol": 40643, + "aon": 30928, + "aon": 48476, + "aor": 32044, + "aos": 46860, + "ap": 688, + "ap": 2728, + "apa": 36954, + "apa": 13537, + "apac": 34320, + "apache": 23921, + "apal": 38017, + "apan": 36562, + "apar": 9161, + "apark": 32528, + "apart": 6474, + "apart": 7803, + "aparthe": 25121, + "apartheid": 26597, + "apartment": 8285, + "apartments": 15791, + "aparty": 26767, + "apat": 31755, + "apathy": 18145, + "apc": 20300, + "apd": 44563, + "ape": 6098, + "ape": 2609, + "apec": 47530, + "aper": 13681, + "aper": 5858, + "apers": 15846, + "apes": 9550, + "apeu": 19040, + "apex": 41935, + "apex": 23712, + "aph": 16341, + "aph": 29491, + "apha": 47104, + "apho": 21758, + "aphra": 44147, + "api": 23342, + "api": 14674, + "apia": 44259, + "apic": 40679, + "aping": 18456, + "apink": 35725, + "apis": 37575, + "apk": 27648, + "apo": 4089, + "apo": 19758, + "apocaly": 13932, + "apocalypse": 17571, + "apocalyptic": 35675, + "apol": 5023, + "apolice": 45663, + "apolis": 9598, + "apollo": 48213, + "apollo": 11554, + "apolo": 31094, + "apolog": 25530, + "apologe": 42908, + "apologi": 14977, + "apologies": 21959, + "apologise": 39608, + "apologize": 22879, + "apologizes": 35298, + "apology": 20768, + "apor": 21871, + "apore": 6679, + "apost": 20309, + "apostle": 33051, + "apostles": 48457, + "app": 882, + "app": 2231, + "appa": 4884, + "appa": 13110, + "appalach": 30523, + "appalachian": 36806, + "appalling": 44797, + "appar": 26698, + "apparatus": 37716, + "apparel": 13972, + "apparent": 23963, + "apparently": 5287, + "appe": 3748, + "appe": 45949, + "appeal": 9625, + "appealing": 25909, + "appeals": 22447, + "appear": 5544, + "appear": 9308, + "appearance": 7238, + "appearances": 17214, + "appeared": 11561, + "appearing": 18759, + "appears": 8743, + "appell": 43833, + "appen": 37201, + "appen": 26589, + "apper": 18780, + "appet": 21686, + "appeti": 24179, + "appetite": 24481, + "appetizer": 36065, + "applau": 24713, + "applaud": 42152, + "applause": 22650, + "apple": 8629, + "apple": 3055, + "applemusic": 21390, + "apples": 14032, + "appleton": 45250, + "appli": 15495, + "appliance": 33677, + "appliances": 22134, + "applic": 4235, + "applicable": 37927, + "applicants": 28035, + "application": 7241, + "applications": 7341, + "applied": 12636, + "applies": 24910, + "apply": 4356, + "applying": 17965, + "appo": 5433, + "appoint": 36190, + "appointed": 11087, + "appointment": 10890, + "appointments": 23439, + "appoints": 25132, + "apprais": 36972, + "appraisal": 46108, + "appreci": 3474, + "appreciate": 6263, + "appreciated": 9264, + "appreciates": 36573, + "appreciating": 39352, + "appreciation": 9212, + "appreciationday": 37438, + "appreciative": 45074, + "appren": 10582, + "apprentic": 15662, + "apprentice": 19122, + "apprentice": 17985, + "apprentices": 38252, + "apprenticeship": 26939, + "apprenticeships": 35425, + "appro": 2398, + "approach": 7781, + "approach": 6241, + "approached": 36499, + "approaches": 14962, + "approaching": 12164, + "appropri": 8446, + "appropriate": 10768, + "appropriately": 30383, + "appropriation": 49110, + "approval": 13549, + "approve": 19064, + "approved": 9412, + "approves": 18107, + "approx": 18266, + "approxim": 14201, + "approximately": 16128, + "apps": 7020, + "appstore": 31377, + "appt": 48112, + "appy": 34420, + "apr": 39396, + "apr": 11177, + "apra": 37027, + "apric": 25923, + "apricot": 30815, + "april": 23548, + "april": 2484, + "apro": 42712, + "apro": 49051, + "apron": 29502, + "aps": 8868, + "apse": 31843, + "apt": 17921, + "aptly": 47313, + "apu": 22166, + "apur": 36900, + "apur": 45193, + "aq": 14018, + "aq": 26862, + "aqu": 4458, + "aqua": 18613, + "aquaculture": 41885, + "aquaman": 35098, + "aquari": 37605, + "aquarium": 16814, + "aquarius": 38879, + "aquatic": 22658, + "aque": 35927, + "aque": 37268, + "aqui": 36826, + "aquino": 33796, + "ar": 516, + "ar": 625, + "ara": 24161, + "ara": 3340, + "arab": 5405, + "arab": 12028, + "arabia": 11746, + "arabian": 24663, + "arabic": 16709, + "arabs": 39155, + "arac": 47620, + "arach": 37689, + "arag": 41502, + "araj": 45142, + "arak": 23416, + "aram": 19223, + "aram": 21473, + "arama": 49066, + "aran": 20839, + "aran": 19641, + "aras": 36399, + "arat": 30856, + "arav": 35836, + "arbit": 20267, + "arbitr": 22702, + "arbitration": 34845, + "arbor": 33516, + "arbor": 24878, + "arboretum": 41719, + "arc": 4997, + "arc": 11592, + "arca": 25189, + "arca": 37612, + "arcade": 13331, + "arcadia": 38372, + "arch": 2458, + "arch": 8557, + "archa": 45619, + "archae": 10121, + "archaeological": 26163, + "archaeologists": 45035, + "archaeology": 14868, + "archan": 33359, + "archbishop": 23994, + "arche": 22474, + "archer": 21824, + "archers": 38407, + "archery": 23935, + "arches": 30771, + "archi": 4479, + "archie": 20557, + "archipel": 39750, + "archipelago": 43025, + "architec": 3359, + "architect": 12192, + "architects": 13290, + "architectural": 15360, + "architecture": 39038, + "architecture": 4920, + "archival": 39249, + "archive": 42257, + "archive": 10548, + "archived": 42379, + "archives": 9411, + "archy": 15643, + "arctic": 29716, + "arctic": 9138, + "ard": 3793, + "ard": 746, + "arden": 44600, + "arden": 27057, + "ardi": 23932, + "ardi": 19837, + "ardo": 35735, + "ardo": 9394, + "ards": 1654, + "ardu": 20906, + "arduino": 25398, + "are": 1076, + "are": 631, + "area": 2445, + "areas": 5429, + "arec": 18136, + "areclipse": 36030, + "ared": 5369, + "arel": 12798, + "arella": 24784, + "arelli": 48619, + "aren": 4033, + "aren": 4318, + "arena": 5463, + "arenas": 47860, + "arent": 37487, + "arer": 14857, + "arers": 33159, + "ares": 12224, + "arest": 11708, + "aret": 22247, + "areth": 47725, + "aretha": 42090, + "areyou": 37607, + "arez": 13108, + "arg": 27285, + "argent": 7812, + "argentina": 9789, + "argentine": 32582, + "argon": 40737, + "argos": 37443, + "argu": 7440, + "arguably": 30899, + "argue": 19788, + "argued": 48153, + "argues": 30045, + "arguing": 26549, + "argument": 16224, + "arguments": 24693, + "argus": 44300, + "argy": 21066, + "argyle": 36179, + "argyll": 40667, + "ari": 1221, + "ari": 3681, + "aria": 8883, + "arial": 42431, + "arian": 29980, + "arian": 6953, + "ariana": 14892, + "arianag": 23025, + "arianagrande": 23321, + "arianism": 44351, + "arians": 19104, + "arias": 22567, + "arie": 18774, + "ariel": 47959, + "ariel": 21025, + "aries": 5213, + "arif": 46621, + "arily": 12993, + "arin": 29564, + "arin": 18612, + "arina": 29271, + "arine": 29586, + "aring": 2142, + "ario": 8862, + "arios": 25392, + "aris": 15227, + "arise": 26490, + "arist": 12110, + "aristo": 25666, + "aristotle": 49156, + "arities": 31069, + "arity": 16608, + "arium": 11809, + "arius": 21482, + "ariz": 6516, + "arized": 40167, + "arizon": 28936, + "arizona": 7106, + "arjun": 24565, + "arjun": 20477, + "arjuna": 43835, + "ark": 11921, + "ark": 12010, + "arkansas": 12227, + "arkham": 36381, + "arl": 48542, + "arlington": 44940, + "arlington": 17865, + "arly": 3637, + "arm": 5671, + "arm": 4793, + "arma": 15887, + "arma": 38716, + "armad": 37897, + "armada": 34938, + "armagh": 44313, + "armani": 31314, + "armb": 37096, + "armchair": 45757, + "armed": 40471, + "armed": 8202, + "armen": 13145, + "armenia": 22008, + "armenian": 24891, + "armies": 46686, + "armin": 45481, + "arming": 19766, + "armist": 38150, + "armistice": 46765, + "armor": 16167, + "armored": 28214, + "armory": 38610, + "armour": 18503, + "armoured": 42514, + "arms": 5706, + "armstrong": 15005, + "army": 13541, + "army": 3133, + "armys": 27311, + "arn": 9348, + "arn": 37597, + "arnau": 45556, + "arne": 43509, + "arney": 35962, + "arnold": 49096, + "arnold": 13609, + "arns": 46692, + "aro": 7514, + "aro": 11551, + "aroa": 48209, + "arom": 16831, + "aroma": 40143, + "aroma": 26390, + "aromas": 47439, + "aromatherapy": 42584, + "aromatic": 39669, + "aron": 30855, + "aron": 28926, + "aroo": 47581, + "arora": 31897, + "arosa": 44264, + "arose": 44262, + "around": 35615, + "around": 1630, + "arqu": 35654, + "arquitec": 41703, + "arr": 39106, + "arr": 42489, + "arra": 32918, + "arra": 43827, + "arrahman": 44554, + "arran": 45722, + "arrang": 16711, + "arrange": 15410, + "arrange": 26311, + "arranged": 22451, + "arrangement": 23822, + "arrangements": 23792, + "arranging": 35321, + "array": 17293, + "arre": 4374, + "arrell": 28846, + "arrest": 9320, + "arrested": 5845, + "arresting": 43930, + "arrests": 20683, + "arri": 2115, + "arrival": 9073, + "arrivals": 19583, + "arrive": 8851, + "arrived": 3514, + "arrives": 9905, + "arriving": 10884, + "arro": 15729, + "arrog": 26997, + "arrogance": 47025, + "arrogant": 40582, + "arrow": 30920, + "arrow": 11149, + "arrowhead": 46393, + "arrows": 24768, + "arroyo": 45237, + "ars": 42815, + "ars": 864, + "arse": 22665, + "arsen": 5330, + "arsenal": 45234, + "arsenal": 6084, + "arsene": 32117, + "arson": 29937, + "art": 1486, + "art": 794, + "arta": 12031, + "arte": 13482, + "arte": 12947, + "artem": 40387, + "artemis": 45256, + "arten": 37043, + "arter": 29449, + "artery": 40062, + "artes": 48629, + "artforsale": 48239, + "artgallery": 31982, + "arth": 7146, + "arth": 20265, + "arthistory": 39313, + "arthr": 20807, + "arthritis": 22916, + "arthro": 43255, + "arthur": 35660, + "arthur": 8550, + "arti": 1635, + "arti": 34601, + "artic": 3003, + "articho": 30937, + "artichoke": 39647, + "article": 3550, + "articles": 11939, + "articul": 40343, + "articulate": 45444, + "artif": 8950, + "artifact": 37718, + "artifacts": 30249, + "artificial": 19357, + "artificial": 12040, + "artificialintelligence": 20799, + "artillery": 24465, + "artin": 33168, + "artin": 48540, + "artis": 41794, + "artisan": 36389, + "artisan": 21535, + "artisans": 40140, + "artist": 14326, + "artist": 2456, + "artiste": 41402, + "artistic": 12421, + "artiston": 48443, + "artistry": 38570, + "artists": 4899, + "artistson": 32127, + "artistsontwitter": 39469, + "artlovers": 35617, + "arto": 28464, + "artof": 31751, + "artoftheday": 43990, + "arton": 46744, + "arts": 22040, + "arts": 3812, + "artsy": 31588, + "arturo": 38591, + "artwit": 36713, + "artwork": 4188, + "artworks": 26215, + "arty": 45417, + "arty": 25916, + "aru": 13757, + "aru": 23907, + "aruba": 40131, + "arugula": 40770, + "arum": 48732, + "arun": 16105, + "arun": 31877, + "arunach": 47260, + "arunjaitley": 44874, + "arus": 22644, + "arvin": 16971, + "arvind": 21209, + "arvind": 41079, + "arvindkejriwal": 22971, + "arvo": 45726, + "arwx": 29824, + "ary": 4617, + "ary": 856, + "arya": 23594, + "aryan": 34966, + "as": 587, + "as": 601, + "asa": 39676, + "asa": 11914, + "asad": 42376, + "asaki": 22455, + "asam": 40603, + "asan": 22379, + "asan": 17841, + "asana": 42363, + "asant": 25536, + "asants": 37766, + "asap": 24199, + "asap": 10822, + "asar": 24733, + "asar": 49299, + "asb": 31186, + "asbe": 32113, + "asbestos": 33765, + "asc": 22720, + "asc": 23305, + "ascen": 20767, + "ascension": 35499, + "ascent": 36625, + "asci": 12753, + "asco": 25578, + "asco": 17488, + "ascot": 23723, + "ascri": 15506, + "asd": 36988, + "asda": 29391, + "asdf": 36857, + "asdfghj": 42758, + "asdfghjkl": 47660, + "ase": 8083, + "ase": 894, + "asean": 24472, + "aseball": 46903, + "ased": 2134, + "asen": 41085, + "aser": 39615, + "aser": 7209, + "ases": 3762, + "asf": 25863, + "asg": 34813, + "ash": 2067, + "ash": 2612, + "asha": 40572, + "asha": 13472, + "ashamed": 20633, + "ashby": 46531, + "ashe": 48523, + "ashe": 31752, + "asher": 37585, + "ashes": 12587, + "asheville": 28897, + "ashford": 37796, + "ashi": 15563, + "ashi": 15934, + "ashish": 33145, + "ashland": 39938, + "ashleigh": 49356, + "ashley": 17825, + "ashley": 8957, + "asho": 20273, + "ashok": 38141, + "ashore": 31194, + "ashram": 43445, + "ashton": 43264, + "ashton": 12228, + "ashtra": 18118, + "asi": 3596, + "asi": 12562, + "asia": 5741, + "asian": 21737, + "asian": 7128, + "asiangames": 49108, + "asians": 36771, + "asics": 31097, + "aside": 13676, + "asif": 37302, + "asim": 46050, + "asin": 48432, + "asin": 44347, + "asing": 4194, + "asingly": 15803, + "asion": 31753, + "asis": 12398, + "ask": 11027, + "ask": 2765, + "asked": 3993, + "asking": 5914, + "asks": 7953, + "asl": 41650, + "asleep": 10749, + "asley": 28206, + "asli": 44290, + "asm": 13851, + "asma": 38497, + "asmsg": 19839, + "aso": 30343, + "aso": 27932, + "asober": 43749, + "asocial": 48557, + "ason": 1163, + "asone": 31249, + "asons": 4249, + "asos": 37924, + "asot": 47968, + "asp": 17814, + "asp": 36666, + "asparag": 20301, + "asparagus": 20604, + "aspe": 10894, + "aspect": 19681, + "aspects": 18203, + "aspen": 35695, + "aspen": 25712, + "asper": 32991, + "asph": 28019, + "asphalt": 30574, + "aspir": 12669, + "aspirations": 36127, + "aspire": 24836, + "aspiring": 21862, + "asports": 43695, + "asr": 48052, + "asroma": 41000, + "ass": 12664, + "ass": 5301, + "assa": 47715, + "assad": 18699, + "assam": 19930, + "assan": 26352, + "assange": 27565, + "assas": 9603, + "assassin": 14366, + "assassin": 20029, + "assassinated": 40488, + "assassination": 24907, + "assassins": 34918, + "assassinscre": 36428, + "assassinscreed": 46082, + "assau": 7908, + "assaul": 19596, + "assault": 9679, + "assaulted": 30785, + "assaulting": 44143, + "asse": 3166, + "asse": 38600, + "assel": 37582, + "assemb": 5531, + "assemble": 26169, + "assembled": 22627, + "assemblies": 47406, + "assembling": 38670, + "assembly": 34542, + "assembly": 7059, + "assen": 38651, + "asser": 25665, + "asses": 21596, + "assess": 9209, + "assess": 23211, + "assessed": 44160, + "assessing": 31364, + "assessment": 10590, + "assessments": 32753, + "asset": 48463, + "asset": 13039, + "assets": 13170, + "assi": 2907, + "assi": 39540, + "assie": 31624, + "assign": 14190, + "assigned": 25767, + "assignment": 17342, + "assignments": 34257, + "assim": 36394, + "assimil": 43467, + "assist": 26558, + "assist": 10286, + "assistance": 11685, + "assistant": 6799, + "assistants": 31054, + "assisted": 18095, + "assisting": 24243, + "assists": 12675, + "assn": 44208, + "asso": 17617, + "assoc": 18891, + "associ": 3566, + "associate": 11777, + "associated": 11164, + "associates": 17358, + "association": 5578, + "associations": 33209, + "assor": 38604, + "assorted": 36701, + "assortment": 43112, + "asst": 24767, + "assu": 8328, + "assume": 19294, + "assumed": 37661, + "assuming": 29422, + "assump": 41182, + "assumption": 40773, + "assumptions": 45948, + "assurance": 28408, + "assure": 39161, + "assured": 25591, + "assures": 41988, + "assy": 29940, + "assy": 12963, + "ast": 1761, + "ast": 1242, + "asta": 43269, + "aste": 25033, + "aste": 25579, + "aster": 11013, + "aster": 9526, + "asteroid": 32253, + "asters": 33139, + "asth": 16684, + "asthma": 24610, + "asthour": 41238, + "astic": 15876, + "asting": 29984, + "astle": 46141, + "asto": 47275, + "aston": 24760, + "aston": 13879, + "astoni": 21962, + "astonishing": 27110, + "astonmartin": 40760, + "astor": 26391, + "astor": 47086, + "astoria": 34798, + "astounding": 37748, + "astr": 37609, + "astra": 47205, + "astra": 36079, + "astral": 45889, + "astri": 31243, + "astrid": 46499, + "astro": 8563, + "astro": 15318, + "astrology": 28526, + "astron": 7982, + "astronaut": 18376, + "astronauts": 29733, + "astronom": 23264, + "astronomer": 40036, + "astronomers": 44268, + "astronomical": 39775, + "astronomy": 17472, + "astrophotography": 38559, + "astros": 17598, + "asts": 10452, + "astu": 43137, + "astur": 45795, + "asu": 13157, + "asu": 16001, + "asun": 36044, + "asure": 3813, + "asus": 27269, + "aswell": 42978, + "asx": 38906, + "asy": 8524, + "asy": 2333, + "asylum": 15638, + "asym": 32539, + "at": 527, + "at": 536, + "ata": 4236, + "atable": 23909, + "atal": 24877, + "atal": 24797, + "atan": 33446, + "atar": 20128, + "atar": 7995, + "atari": 21549, + "atas": 30057, + "atay": 39518, + "atc": 28383, + "atch": 15938, + "atd": 33890, + "ate": 992, + "ate": 671, + "ateam": 42784, + "ateau": 16359, + "atec": 37352, + "atech": 31306, + "ated": 14589, + "ated": 943, + "atedly": 24698, + "atee": 32839, + "ateful": 5419, + "atelier": 29932, + "ately": 3862, + "atem": 17116, + "aten": 47984, + "atene": 30405, + "ateneo": 33904, + "ater": 18597, + "ater": 5877, + "ateral": 18819, + "aters": 22364, + "ates": 20370, + "ates": 1150, + "atest": 1705, + "ateur": 43677, + "atf": 28013, + "ath": 1374, + "ath": 1649, + "atha": 22530, + "atham": 23383, + "athan": 41260, + "athan": 26701, + "athe": 8963, + "athed": 47402, + "atheism": 25823, + "atheist": 22571, + "atheists": 47155, + "athen": 29112, + "athena": 30705, + "athens": 13524, + "ather": 6171, + "ather": 1817, + "athered": 34091, + "athers": 17266, + "athi": 28918, + "athing": 36069, + "athle": 3310, + "athlete": 7388, + "athletes": 7125, + "athletic": 33182, + "athletic": 9028, + "athletics": 7019, + "athlon": 14670, + "athome": 38217, + "athon": 4951, + "aths": 28835, + "athy": 34488, + "athy": 13183, + "ati": 591, + "ati": 6751, + "atia": 10908, + "atic": 20248, + "atic": 2647, + "atically": 13558, + "atics": 15666, + "atie": 30137, + "aties": 40060, + "atif": 41592, + "atiku": 37912, + "atile": 15474, + "atility": 23373, + "atime": 20158, + "atin": 36903, + "atin": 23047, + "atine": 39741, + "ating": 25653, + "ating": 1074, + "atio": 35401, + "ation": 2265, + "ation": 656, + "ational": 14205, + "ational": 3108, + "ationals": 44593, + "ationday": 20082, + "ations": 986, + "atis": 45456, + "atis": 41142, + "atism": 45638, + "ative": 18422, + "ative": 1648, + "atively": 11929, + "atives": 5629, + "ativity": 25166, + "atkins": 27734, + "atkinson": 28908, + "atl": 5411, + "atl": 10629, + "atla": 36043, + "atlan": 6818, + "atlanta": 39964, + "atlanta": 6839, + "atlantic": 28804, + "atlantic": 8189, + "atlantis": 27790, + "atlas": 15775, + "atle": 21170, + "atleast": 33231, + "atleti": 46067, + "atletico": 27501, + "atm": 14127, + "atmo": 8271, + "atmosphere": 10506, + "atmospheric": 24223, + "ato": 7987, + "ato": 4364, + "atoday": 26799, + "atom": 22418, + "atom": 24031, + "atomic": 18996, + "atoms": 41434, + "aton": 31525, + "aton": 10012, + "atop": 17455, + "ator": 10748, + "ator": 1962, + "atore": 28314, + "atorial": 32040, + "atories": 35678, + "atorium": 41306, + "ators": 3389, + "atory": 5920, + "atos": 41643, + "atour": 42967, + "atown": 24000, + "atp": 38105, + "atp": 19817, + "atr": 43247, + "atra": 20227, + "atra": 14401, + "atravel": 36981, + "atre": 46057, + "atri": 13882, + "atri": 38889, + "atric": 32238, + "atric": 13652, + "atrics": 36253, + "atrist": 41879, + "atrium": 29725, + "atrix": 43003, + "atro": 18724, + "atroc": 36197, + "atrocities": 37551, + "atry": 28334, + "ats": 46890, + "ats": 1032, + "atsu": 26531, + "att": 1017, + "att": 7103, + "atta": 7282, + "atta": 9146, + "attach": 43676, + "attach": 35653, + "attached": 11038, + "attachment": 28638, + "attack": 24971, + "attack": 3815, + "attacked": 12366, + "attacker": 39288, + "attackers": 47701, + "attacking": 16813, + "attacks": 7321, + "attain": 46459, + "attar": 37110, + "attemp": 4933, + "attempt": 7409, + "attempted": 17408, + "attempting": 18195, + "attempts": 15610, + "atten": 4084, + "atten": 32408, + "attenborough": 45860, + "attend": 9841, + "attend": 5802, + "attendance": 11928, + "attendant": 35424, + "attended": 8140, + "attendees": 14648, + "attending": 6696, + "attends": 22248, + "attention": 4936, + "atters": 30675, + "atthe": 21489, + "atti": 49265, + "atti": 16235, + "attic": 26766, + "attire": 21222, + "attitude": 10648, + "attitudes": 27611, + "attle": 14685, + "attle": 5030, + "attn": 25677, + "attor": 8856, + "attorney": 10372, + "attorneys": 29113, + "attrac": 7154, + "attract": 17010, + "attracted": 28493, + "attracting": 31909, + "attraction": 16807, + "attractions": 22307, + "attractive": 12231, + "attracts": 31024, + "attribu": 24624, + "attributed": 37520, + "attributes": 40763, + "attu": 43173, + "atty": 36705, + "atu": 15191, + "atu": 24295, + "atuesday": 34841, + "atul": 1744, + "atul": 43948, + "atum": 48295, + "atur": 14986, + "aturday": 29027, + "ature": 25305, + "ature": 4490, + "atures": 7358, + "atus": 14795, + "atv": 19598, + "atwood": 45680, + "atwork": 39680, + "atx": 34849, + "atx": 20136, + "aty": 40974, + "aty": 33107, + "atz": 30432, + "au": 627, + "au": 2566, + "aua": 45906, + "aub": 45938, + "auberg": 49382, + "aubre": 25899, + "aubrey": 34110, + "auburn": 42269, + "auburn": 14534, + "auc": 24489, + "auch": 43024, + "auck": 14588, + "auckland": 16072, + "auction": 48160, + "auction": 6462, + "auctioned": 41073, + "auctions": 24876, + "aucus": 47374, + "aud": 16107, + "aud": 19711, + "audi": 5091, + "audi": 10277, + "audible": 33227, + "audience": 6863, + "audiences": 22328, + "audio": 13792, + "audio": 5766, + "audiobook": 26282, + "audit": 12505, + "audit": 17625, + "auditi": 37377, + "audition": 18673, + "auditions": 21134, + "auditor": 38050, + "auditorium": 15063, + "audre": 16075, + "audrey": 18812, + "audu": 27934, + "audubon": 40275, + "auer": 33460, + "auf": 28924, + "aug": 15397, + "aug": 5720, + "auga": 22797, + "augh": 28310, + "augh": 14005, + "augmente": 48356, + "augmented": 32708, + "augu": 2610, + "august": 24353, + "august": 3171, + "augusta": 26144, + "augustine": 27397, + "augustus": 36835, + "auk": 19058, + "aul": 20695, + "aul": 34391, + "ault": 47253, + "ault": 10219, + "aun": 10608, + "aun": 38721, + "aunt": 12685, + "auntie": 23783, + "aunty": 29528, + "aur": 8156, + "aur": 17282, + "aura": 27728, + "aure": 36010, + "aureli": 35980, + "auror": 30067, + "aurora": 13500, + "aus": 10624, + "aus": 7630, + "ausa": 37384, + "ausbiz": 46543, + "ausch": 33926, + "auschwitz": 36523, + "ausopen": 27831, + "ausp": 35039, + "auspicious": 38806, + "auspol": 8241, + "aussi": 19762, + "aussie": 40230, + "aussie": 14424, + "aussies": 35727, + "aust": 26301, + "aust": 25418, + "austen": 29885, + "auster": 25030, + "austerity": 26982, + "austin": 12845, + "austin": 5125, + "austinmahone": 34678, + "austr": 2518, + "australi": 13798, + "australia": 3444, + "australian": 23630, + "australian": 6258, + "australians": 31488, + "austri": 8946, + "austria": 11960, + "austrian": 20638, + "ausv": 35206, + "ausvotes": 34661, + "aut": 12343, + "auth": 2381, + "auth": 38247, + "authent": 18158, + "authentic": 41266, + "authentic": 10369, + "authentication": 39746, + "authenticity": 35734, + "autho": 34552, + "author": 14447, + "author": 4358, + "authored": 37928, + "authori": 19207, + "authorities": 12729, + "authority": 10524, + "authorization": 48854, + "authorized": 28463, + "authors": 10765, + "auti": 8200, + "autism": 36256, + "autism": 11244, + "autisma": 43324, + "autistic": 29360, + "auto": 3917, + "auto": 5668, + "autobiography": 31509, + "autodesk": 40415, + "autograph": 10657, + "autograph": 13722, + "autographed": 16309, + "autographs": 17376, + "autoimmune": 45509, + "autom": 4114, + "automate": 43203, + "automated": 19022, + "automatic": 12126, + "automatically": 20725, + "automation": 12328, + "automobi": 44813, + "automobile": 25258, + "automotive": 12607, + "auton": 13100, + "autonews": 43975, + "autonom": 17870, + "autonomous": 20722, + "autonomy": 39223, + "autopsy": 44436, + "autos": 31118, + "autoshow": 46788, + "auts": 21140, + "autu": 5445, + "autum": 31783, + "autumn": 28940, + "autumn": 6110, + "autumnal": 35481, + "aux": 18154, + "aux": 8909, + "auxiliary": 37778, + "av": 722, + "av": 8484, + "ava": 12385, + "avage": 31505, + "avail": 1651, + "avail": 16686, + "availability": 17551, + "available": 1685, + "aval": 18012, + "avalan": 23970, + "avalanche": 25815, + "avalley": 45082, + "avalon": 30436, + "avan": 27971, + "avan": 33351, + "avant": 24305, + "avar": 33423, + "avatar": 18219, + "ave": 10062, + "ave": 4860, + "avec": 25828, + "aved": 47918, + "avel": 46817, + "avel": 48088, + "aven": 5963, + "aven": 32971, + "aveng": 21935, + "avenger": 24799, + "avengers": 39413, + "avengers": 12016, + "avengersendgame": 49342, + "avent": 22700, + "avenue": 7042, + "aver": 8788, + "aver": 11403, + "average": 6254, + "averaged": 37310, + "averages": 48982, + "averaging": 35266, + "avery": 20313, + "aves": 14023, + "avfc": 21304, + "avg": 19452, + "avgeek": 11114, + "avi": 3324, + "avi": 11297, + "avia": 38710, + "avian": 24115, + "aviation": 27717, + "aviation": 7617, + "aviator": 38921, + "aviators": 48011, + "avici": 46192, + "avicii": 49158, + "avid": 19118, + "avier": 14598, + "avila": 45339, + "aville": 40689, + "avin": 46204, + "avis": 45163, + "avis": 19765, + "aviv": 22130, + "aviva": 47122, + "aviz": 27607, + "avl": 44749, + "avo": 4496, + "avo": 32400, + "avoc": 12291, + "avocado": 14135, + "avocados": 48911, + "avoi": 16797, + "avoid": 30448, + "avoid": 5983, + "avoidance": 47983, + "avoided": 32103, + "avoiding": 22086, + "avoids": 48220, + "avon": 22790, + "avon": 17348, + "avril": 37763, + "avs": 31896, + "avut": 44472, + "avy": 29973, + "aw": 808, + "aw": 5557, + "awa": 4820, + "awa": 6872, + "await": 20769, + "awaited": 20092, + "awaiting": 14872, + "awaits": 15635, + "awak": 9776, + "awak": 41387, + "awake": 14695, + "awaken": 35412, + "awakening": 17017, + "awakens": 23191, + "awal": 42447, + "awal": 35090, + "awan": 48869, + "awan": 20420, + "awar": 5745, + "award": 36310, + "award": 2047, + "awarded": 7368, + "awarding": 37089, + "awards": 34528, + "awards": 2320, + "aware": 4427, + "aware": 7196, + "awareness": 19217, + "awareness": 4823, + "awarenessmonth": 34278, + "awarenessweek": 35294, + "away": 21088, + "away": 1520, + "aways": 12782, + "awaz": 18586, + "awd": 34846, + "awe": 1693, + "awe": 14106, + "aweather": 42142, + "aweather": 28681, + "awec": 38916, + "aweed": 29724, + "awesom": 16727, + "awesome": 30390, + "awesome": 1848, + "awesomeness": 22430, + "awful": 13617, + "awg": 46350, + "awgs": 35275, + "awh": 39566, + "awhile": 19171, + "awi": 15167, + "awil": 47271, + "awilliams": 42163, + "awk": 8888, + "awk": 40943, + "awkward": 42337, + "awkward": 10304, + "awn": 46222, + "awp": 43300, + "aws": 19658, + "awsome": 47196, + "awson": 36286, + "aww": 11568, + "awww": 15634, + "awwww": 26460, + "awx": 28385, + "ax": 3165, + "ax": 9203, + "axe": 19861, + "axel": 47889, + "axel": 32131, + "axes": 45970, + "axi": 30672, + "axial": 46550, + "axis": 19614, + "axle": 39003, + "axx": 47411, + "ay": 658, + "ay": 551, + "aya": 5917, + "ayala": 39827, + "ayama": 41194, + "ayan": 37781, + "ayan": 16269, + "ayana": 37400, + "ayas": 40904, + "ayat": 44902, + "ayat": 35720, + "aye": 21661, + "aye": 12446, + "ayer": 24852, + "ayers": 42783, + "ayesha": 46570, + "ayi": 33025, + "ayles": 44706, + "ayne": 35669, + "ayo": 21929, + "ayo": 18708, + "ayr": 23002, + "ayr": 36473, + "ayrshire": 32687, + "ays": 785, + "ayu": 40769, + "ayurve": 27185, + "ayurveda": 38986, + "ayush": 44831, + "ayy": 32514, + "ayyy": 41052, + "az": 854, + "az": 5468, + "aza": 22883, + "azad": 37838, + "azalea": 34087, + "azam": 34727, + "azar": 27911, + "azcardinals": 48846, + "aze": 41157, + "aze": 28485, + "azer": 19169, + "azerbai": 20649, + "azerbaijan": 23888, + "azhar": 47019, + "azi": 23914, + "azi": 18452, + "azine": 29140, + "azione": 48335, + "aziz": 41205, + "aziz": 29630, + "azo": 41227, + "azon": 36854, + "azores": 42826, + "azte": 33270, + "aztec": 34749, + "aztecs": 49387, + "azu": 27701, + "azu": 46963, + "azul": 39807, + "azure": 18514, + "azwx": 30262, + "azy": 24783, + "azz": 9817, + "azz": 26453, + "azza": 22255, + "azzi": 18758, + "azzle": 39974, + "azzo": 26779, + "azzur": 37055, + "azzy": 44534, + "añ": 23716, + "años": 41634, + "b": 65, + "b": 321, + "ba": 932, + "ba": 1792, + "baa": 33004, + "baahu": 34145, + "baahubali": 38663, + "bab": 1202, + "bab": 19039, + "baba": 12631, + "babe": 31177, + "babe": 7716, + "babes": 14253, + "babies": 6635, + "babs": 36217, + "babu": 21623, + "baby": 7268, + "baby": 1794, + "babygirl": 39554, + "babylon": 31928, + "babymetal": 45013, + "babys": 22266, + "babysitting": 34186, + "bac": 2791, + "bac": 25867, + "bacca": 40708, + "bach": 11773, + "bach": 8758, + "bachchan": 17690, + "bachel": 11283, + "bachelor": 45508, + "bachelor": 16766, + "bachelore": 26009, + "bachelorette": 29093, + "bacher": 49211, + "back": 1663, + "back": 893, + "backbone": 35635, + "backdrop": 20802, + "backed": 12721, + "backer": 22183, + "backers": 32934, + "background": 5994, + "backgrounds": 28215, + "backing": 14935, + "backlash": 31519, + "backpack": 14894, + "backpacking": 29524, + "backpacks": 37063, + "backs": 7562, + "backseat": 48812, + "backstage": 9236, + "backstreet": 46337, + "backthe": 26127, + "backto": 18703, + "backtoschool": 28730, + "backtothe": 43059, + "backup": 14415, + "backward": 37964, + "backwards": 21283, + "backyard": 12608, + "bacon": 48666, + "bacon": 7104, + "bacter": 11814, + "bacteria": 16556, + "bacterial": 26101, + "bad": 2564, + "bad": 2103, + "bada": 37475, + "badan": 39149, + "badass": 11616, + "baddest": 38112, + "baden": 36690, + "bader": 42254, + "badge": 11301, + "badger": 32686, + "badger": 22363, + "badgers": 22521, + "badges": 20084, + "badlands": 43192, + "badly": 13684, + "badminton": 21412, + "badoo": 33192, + "bados": 25755, + "bae": 32834, + "bae": 6855, + "baek": 18557, + "baek": 32702, + "baekhyun": 21572, + "baes": 46332, + "baf": 13616, + "baff": 35693, + "bafta": 29199, + "bag": 3408, + "bag": 3365, + "bage": 9698, + "bagel": 28777, + "bagels": 37489, + "baggage": 31402, + "bagged": 34047, + "bagh": 21659, + "bagh": 37271, + "baghdad": 30763, + "bago": 25105, + "bags": 6136, + "bagu": 27749, + "baguette": 45334, + "bah": 8372, + "bah": 16685, + "baha": 29592, + "baham": 43718, + "bahamas": 21224, + "bahan": 28704, + "bahn": 33452, + "bahrain": 12503, + "bai": 6232, + "bai": 23339, + "bail": 22933, + "bail": 16986, + "bailey": 27535, + "bailey": 10180, + "bain": 40784, + "bain": 21593, + "bair": 29059, + "baird": 40474, + "bait": 18010, + "baj": 20713, + "baja": 40418, + "baja": 28374, + "bajo": 32619, + "bak": 4059, + "bak": 23742, + "bakar": 41414, + "bake": 20736, + "bake": 11878, + "baked": 10364, + "baker": 27303, + "baker": 7743, + "bakers": 35293, + "bakers": 40231, + "bakersfield": 40149, + "bakery": 13377, + "bakes": 43057, + "bakhta": 44912, + "bakhtawar": 46937, + "bakhtawarbz": 47118, + "baking": 11467, + "baku": 46417, + "baku": 31852, + "bal": 1398, + "bal": 2282, + "bala": 20291, + "balaji": 48694, + "balance": 42894, + "balance": 6827, + "balanced": 15273, + "balances": 37733, + "balancing": 23541, + "balboa": 45098, + "balcony": 16169, + "bald": 11153, + "bald": 14875, + "baldhead": 29191, + "baldwin": 16242, + "bale": 48573, + "bale": 18873, + "bales": 42879, + "bali": 16432, + "bali": 10900, + "balkan": 48499, + "balkans": 42987, + "ball": 3807, + "ball": 1069, + "balla": 42246, + "ballad": 33472, + "ballarat": 46645, + "ballard": 31750, + "baller": 49194, + "baller": 25655, + "ballerina": 34962, + "ballers": 34173, + "ballet": 10703, + "balli": 29406, + "ballin": 47444, + "ballin": 33057, + "balling": 47588, + "ballis": 46675, + "ballistic": 36667, + "ballo": 8871, + "ballon": 36469, + "balloon": 13634, + "balloons": 18130, + "ballot": 14185, + "ballots": 35051, + "ballpark": 26080, + "ballroom": 15493, + "balls": 6927, + "bally": 17275, + "bally": 29451, + "balm": 24962, + "balmain": 45929, + "balo": 12395, + "baloch": 23173, + "balochistan": 21918, + "balot": 44615, + "balotelli": 45721, + "bals": 44154, + "balsam": 29121, + "balsamic": 32654, + "balt": 24441, + "balti": 8400, + "baltic": 23817, + "baltimore": 38502, + "baltimore": 9582, + "balu": 38093, + "bam": 6383, + "bam": 12686, + "bama": 20021, + "bambam": 34538, + "bambi": 46596, + "bamboo": 49322, + "bamboo": 16748, + "ban": 1159, + "ban": 2777, + "bana": 18428, + "banan": 38410, + "banana": 8922, + "bananas": 19121, + "banc": 39252, + "band": 4613, + "band": 1963, + "banda": 31865, + "bandai": 42054, + "bandana": 39265, + "bandcamp": 32229, + "banded": 37804, + "bandic": 44400, + "bandit": 27639, + "bandits": 33940, + "bandra": 41393, + "bands": 7858, + "bandung": 29512, + "bandwagon": 36432, + "bandwidth": 48859, + "bane": 9597, + "banerjee": 48102, + "banff": 29565, + "bang": 3524, + "bang": 6907, + "bangalore": 14697, + "banger": 24872, + "bangers": 38311, + "banging": 33033, + "bangkok": 12351, + "bangla": 10339, + "bangla": 45928, + "bangladesh": 11245, + "bangle": 37634, + "bangor": 31190, + "bangs": 27992, + "bangtan": 39131, + "bani": 19732, + "banjo": 27014, + "bank": 7061, + "bank": 2723, + "banker": 27316, + "bankers": 30599, + "bankholiday": 48868, + "banking": 9566, + "bankno": 49201, + "bankof": 39120, + "bankrup": 21904, + "bankrupt": 23077, + "bankrupt": 37288, + "bankruptcy": 23978, + "banks": 6367, + "banksy": 33350, + "bann": 5304, + "banned": 12012, + "banner": 9185, + "banners": 23145, + "banning": 26246, + "bannon": 29710, + "bano": 42947, + "banquet": 14254, + "bans": 15146, + "bant": 23301, + "bant": 46657, + "banter": 25535, + "bao": 39487, + "bao": 20408, + "bap": 7415, + "bap": 23754, + "bapti": 15477, + "baptism": 36765, + "baptist": 13274, + "baptiste": 45770, + "baptized": 45400, + "bar": 1040, + "bar": 2411, + "bara": 19345, + "barack": 18670, + "barack": 22481, + "barackobama": 18885, + "barak": 47419, + "barak": 16260, + "barang": 38446, + "barb": 24173, + "barb": 20913, + "barbados": 26992, + "barbar": 7906, + "barbara": 10937, + "barbarian": 42530, + "barbe": 18372, + "barbecue": 23501, + "barber": 19517, + "barber": 12296, + "barbershop": 37707, + "barbican": 47668, + "barbie": 16923, + "barca": 22942, + "barcel": 6134, + "barcelon": 47820, + "barcelona": 6412, + "barclay": 48877, + "barclay": 45276, + "barclays": 29538, + "bard": 39812, + "bard": 17514, + "bare": 16023, + "bare": 14318, + "barefoot": 30327, + "barely": 12684, + "bargain": 15076, + "bargaining": 41282, + "bargains": 34126, + "barge": 28272, + "bari": 21428, + "bari": 28016, + "barista": 31078, + "barit": 46300, + "bark": 32333, + "bark": 16560, + "barker": 20618, + "barking": 32676, + "barkley": 30266, + "barley": 22607, + "barlow": 25483, + "barn": 10490, + "barn": 10942, + "barnab": 43272, + "barnard": 44332, + "barne": 42527, + "barnes": 13102, + "barnet": 41943, + "barnett": 27650, + "barney": 24563, + "barns": 43759, + "barnsley": 37109, + "barnsley": 32153, + "baro": 17422, + "baro": 30817, + "baron": 48371, + "baron": 19349, + "baroness": 45056, + "barons": 45596, + "baroque": 25065, + "barr": 39473, + "barr": 22492, + "barra": 28442, + "barra": 33542, + "barrabest": 41376, + "barrac": 40835, + "barracks": 35822, + "barre": 13840, + "barre": 38257, + "barred": 33261, + "barrel": 11703, + "barrels": 22059, + "barren": 46743, + "barrett": 18701, + "barri": 8660, + "barric": 29189, + "barrie": 27090, + "barrier": 15706, + "barriers": 16321, + "barrington": 48954, + "barron": 34881, + "barrow": 42568, + "barrow": 24983, + "barry": 18028, + "barry": 8461, + "barrymore": 49310, + "bars": 8616, + "barstool": 44826, + "bart": 14838, + "bart": 12870, + "bartender": 33498, + "barthol": 48989, + "bartlett": 37130, + "bartol": 38209, + "barton": 48853, + "barton": 20345, + "baru": 16356, + "barun": 38278, + "barunsob": 41398, + "barça": 32788, + "bas": 1244, + "bas": 11420, + "basa": 26142, + "base": 2776, + "base": 4579, + "baseball": 23479, + "baseball": 3470, + "based": 35196, + "based": 2812, + "basel": 42803, + "basel": 20903, + "baseline": 40648, + "baseman": 45910, + "basement": 14792, + "bases": 20496, + "bash": 20462, + "bash": 10972, + "bashing": 37545, + "bashir": 42799, + "basic": 40452, + "basic": 7696, + "basically": 9125, + "basics": 15825, + "basil": 19225, + "basil": 14936, + "basilica": 27879, + "basin": 16117, + "basing": 47321, + "basis": 12278, + "baske": 3713, + "basket": 10338, + "basketball": 40023, + "basketball": 3835, + "baskets": 27787, + "basking": 39769, + "basque": 37175, + "bass": 22831, + "bass": 5992, + "bassett": 45992, + "bassist": 26496, + "bast": 28092, + "basti": 8559, + "bastille": 41874, + "bat": 2121, + "bat": 6575, + "bata": 39277, + "batb": 33962, + "batch": 9413, + "bate": 25034, + "bate": 28277, + "bateman": 41635, + "bates": 21727, + "batgirl": 46460, + "bath": 6064, + "bath": 5713, + "bathing": 20144, + "bathro": 21201, + "bathroom": 8470, + "bathrooms": 26434, + "baths": 19442, + "bathtub": 39942, + "bathurst": 36365, + "bati": 23362, + "bati": 37589, + "batman": 27811, + "batman": 7223, + "baton": 24331, + "bats": 14984, + "batsman": 35432, + "batt": 2407, + "batt": 48595, + "battalion": 20820, + "batter": 12654, + "batter": 31855, + "battered": 34375, + "batteries": 16666, + "battersea": 35839, + "battery": 7870, + "batting": 17401, + "battle": 7344, + "battle": 3528, + "battled": 37837, + "battlefield": 16055, + "battlefront": 42214, + "battleof": 47560, + "battles": 14213, + "battleship": 35165, + "battling": 17268, + "bau": 6055, + "bau": 34840, + "bauer": 22903, + "baugh": 41301, + "baum": 19840, + "bautista": 31881, + "bav": 21075, + "bavaria": 39977, + "bavarian": 44458, + "baw": 19808, + "bax": 21216, + "baxter": 26168, + "bay": 3631, + "bay": 2174, + "baya": 31573, + "bayan": 43895, + "bayarea": 28260, + "bayer": 48548, + "bayer": 29183, + "bayern": 14666, + "baylor": 21721, + "bayou": 33955, + "bays": 40156, + "baz": 10430, + "baz": 25268, + "bazaar": 20070, + "bazar": 49298, + "bb": 1174, + "bb": 3529, + "bba": 27762, + "bball": 15664, + "bbb": 33535, + "bbc": 5123, + "bbc": 5188, + "bbcc": 39052, + "bbce": 33818, + "bbcnews": 29370, + "bbcone": 28259, + "bbcqt": 37343, + "bbcr": 35802, + "bbcra": 17115, + "bbcradi": 49213, + "bbcradio": 22876, + "bbcsport": 49321, + "bbcspringwatch": 37358, + "bbctwo": 40395, + "bbcworld": 47340, + "bbe": 37559, + "bbed": 9077, + "bber": 7933, + "bbers": 36494, + "bbhutto": 28085, + "bbhuttozardari": 28135, + "bbi": 37047, + "bbin": 38553, + "bbing": 9787, + "bbins": 42504, + "bbl": 21961, + "bble": 26570, + "bble": 5924, + "bbled": 37626, + "bbles": 18093, + "bblo": 21231, + "bbloggers": 26614, + "bbly": 43031, + "bbm": 25382, + "bbmas": 22145, + "bbn": 28427, + "bbnaija": 20984, + "bbo": 21892, + "bbq": 41270, + "bbq": 6726, + "bbs": 10002, + "bbuk": 45978, + "bby": 11166, + "bby": 3810, + "bc": 3116, + "bc": 2162, + "bcc": 41509, + "bcci": 36138, + "bce": 36510, + "bcfc": 34359, + "bch": 36684, + "bcn": 25766, + "bcoz": 46373, + "bcpoli": 24389, + "bcs": 24909, + "bcu": 28299, + "bd": 24358, + "bd": 11165, + "bday": 33022, + "bday": 5781, + "bdg": 48418, + "bds": 26732, + "be": 571, + "be": 655, + "bea": 21886, + "bea": 20925, + "beach": 6068, + "beach": 2117, + "beaches": 12183, + "beachlife": 43824, + "beacon": 36883, + "beacon": 18858, + "beacons": 39395, + "bead": 31621, + "bead": 23557, + "beaded": 26661, + "beads": 14099, + "beagle": 30044, + "beak": 36498, + "beal": 45769, + "beale": 39717, + "beam": 35339, + "beam": 13663, + "beams": 23993, + "bean": 16471, + "bean": 5328, + "beanie": 21534, + "beans": 8302, + "bear": 6375, + "bear": 4298, + "bearable": 38608, + "bearcats": 33242, + "beard": 26157, + "beard": 9052, + "bearded": 28459, + "beardown": 43687, + "beards": 33020, + "bearer": 30686, + "bearers": 47986, + "bearing": 18370, + "bearings": 42083, + "bearish": 34829, + "bears": 6182, + "beasley": 43349, + "beast": 20847, + "beast": 6957, + "beastmode": 43076, + "beasts": 21771, + "beat": 3774, + "beat": 3018, + "beaten": 10864, + "beater": 41974, + "beati": 44386, + "beating": 10078, + "beatles": 11961, + "beatport": 31421, + "beatrice": 36922, + "beats": 6289, + "beatthe": 40550, + "beatty": 39903, + "beatz": 33363, + "beau": 1016, + "beau": 14298, + "beaufort": 45423, + "beaumont": 32857, + "beaut": 24559, + "beauti": 1154, + "beauties": 14874, + "beautiful": 13662, + "beautiful": 1215, + "beautifully": 10627, + "beauty": 12881, + "beauty": 2488, + "beav": 23260, + "beaver": 26432, + "beaver": 22874, + "beavers": 34513, + "beavs": 43909, + "bebe": 23331, + "bec": 6899, + "bec": 10773, + "became": 5464, + "because": 32714, + "because": 1631, + "becca": 27088, + "bech": 44055, + "beck": 8256, + "beck": 10396, + "becker": 26918, + "beckett": 27249, + "beckham": 18764, + "becky": 32406, + "becky": 18921, + "become": 2989, + "becomes": 6766, + "becoming": 6208, + "bed": 4152, + "bed": 2722, + "bedding": 31761, + "bedford": 20779, + "bedi": 39181, + "bedro": 18415, + "bedroom": 8411, + "bedrooms": 23996, + "beds": 13914, + "bedside": 47473, + "bedtime": 22115, + "bee": 6097, + "bee": 5028, + "beech": 32733, + "beech": 27596, + "beef": 21703, + "beef": 6529, + "beek": 37915, + "been": 33986, + "been": 1025, + "beep": 33432, + "beer": 8885, + "beer": 2544, + "beers": 10907, + "bees": 36249, + "bees": 9100, + "beet": 12582, + "beet": 28621, + "beethoven": 23656, + "beetle": 16534, + "beetles": 36317, + "beetro": 29251, + "beetroot": 31638, + "beets": 36087, + "before": 20898, + "before": 1348, + "beg": 2219, + "beg": 22401, + "began": 8636, + "begg": 36769, + "begging": 25371, + "begin": 19197, + "begin": 4947, + "beginner": 24351, + "beginners": 21930, + "beginning": 5791, + "beginnings": 22581, + "begins": 4635, + "begs": 43531, + "begun": 10514, + "beh": 21971, + "beh": 41612, + "beha": 5737, + "behalf": 11470, + "behave": 28825, + "behaved": 41617, + "behavi": 6149, + "behaving": 40745, + "behavior": 10461, + "behavioral": 25135, + "behaviors": 37741, + "behaviour": 14655, + "behavioural": 46019, + "behe": 42329, + "behin": 2335, + "behind": 2403, + "behindthe": 21104, + "behindthescenes": 26253, + "behold": 15929, + "bei": 38991, + "bei": 23227, + "beige": 26677, + "beij": 11547, + "beijing": 11796, + "bein": 39117, + "bein": 24168, + "being": 13481, + "being": 1265, + "beings": 17998, + "beingsalmankhan": 19637, + "beir": 20176, + "beirut": 22352, + "beit": 26963, + "bek": 46846, + "bek": 26135, + "bekind": 46691, + "bel": 1308, + "bel": 3543, + "bela": 30555, + "belarus": 30849, + "belated": 20256, + "belfast": 35100, + "belfast": 10015, + "belgi": 7001, + "belgian": 15008, + "belgium": 10239, + "belgrade": 30502, + "beli": 1859, + "beli": 45842, + "belichick": 46132, + "belie": 20854, + "beliebers": 27714, + "belief": 14802, + "beliefs": 20575, + "believ": 4972, + "believe": 15819, + "believe": 2649, + "believed": 13380, + "believein": 24294, + "believeinfilm": 37375, + "believer": 26057, + "believers": 28434, + "believes": 12017, + "believing": 19551, + "belinda": 44415, + "belize": 27990, + "bell": 5417, + "bell": 3718, + "bella": 18282, + "bella": 10418, + "bellamy": 34461, + "bellator": 31985, + "belle": 13587, + "belle": 11496, + "belles": 40678, + "bellevue": 32715, + "belli": 43335, + "bellletstalk": 42695, + "bello": 21954, + "bells": 12811, + "bellum": 35493, + "belly": 25901, + "belly": 10404, + "belmont": 25612, + "belo": 8379, + "belo": 41649, + "belong": 16453, + "belong": 13596, + "belonged": 39893, + "belonging": 28193, + "belongs": 14395, + "beloved": 9363, + "below": 3788, + "bels": 43127, + "belt": 36416, + "belt": 7373, + "belts": 21888, + "belvedere": 48003, + "ben": 1465, + "ben": 3518, + "bena": 46249, + "bench": 17770, + "bench": 8771, + "benches": 36349, + "benchmark": 31775, + "bend": 22100, + "bend": 13332, + "bender": 22551, + "bendigo": 48197, + "bending": 33897, + "bene": 12091, + "bene": 47151, + "beneath": 16850, + "bened": 13216, + "benedic": 24402, + "benedict": 47896, + "benedict": 18027, + "benef": 3260, + "benefici": 38593, + "beneficial": 24660, + "beneficiaries": 42160, + "benefit": 6399, + "benefited": 48266, + "benefiting": 29474, + "benefits": 5465, + "benefitting": 47222, + "benevol": 47060, + "benfica": 33873, + "beng": 6962, + "bengal": 17404, + "bengal": 16374, + "bengali": 33774, + "bengals": 23737, + "bengaluru": 21707, + "benghazi": 25967, + "benin": 40296, + "benitez": 46711, + "benjam": 10550, + "benjamin": 38647, + "benjamin": 12131, + "benji": 43548, + "benn": 39097, + "bennet": 48536, + "bennett": 12186, + "benny": 42369, + "benny": 20595, + "beno": 35268, + "benoit": 44373, + "benson": 19578, + "bent": 9809, + "bent": 18369, + "bentley": 16859, + "benton": 30812, + "benz": 27937, + "benz": 13470, + "ber": 867, + "ber": 1516, + "bera": 32802, + "bere": 17458, + "bered": 9193, + "beren": 33654, + "beret": 41658, + "berg": 12022, + "berg": 3294, + "bergen": 22918, + "berger": 35933, + "berger": 13873, + "bergh": 35120, + "bergman": 42597, + "bergs": 43592, + "berk": 15633, + "berke": 14639, + "berkeley": 46049, + "berkeley": 16667, + "berkshire": 27300, + "berlin": 23532, + "berlin": 5891, + "berman": 21514, + "bermu": 21032, + "bermuda": 24644, + "bern": 9195, + "bern": 18382, + "bernade": 46242, + "bernar": 11962, + "bernard": 14579, + "bernardino": 35328, + "bernardo": 27137, + "bernardo": 28696, + "bernardokath": 29081, + "bernat": 40578, + "berni": 18798, + "bernie": 40093, + "bernie": 10503, + "berniesanders": 23745, + "bernstein": 33936, + "berra": 15089, + "berries": 8319, + "berry": 15334, + "berry": 3488, + "bers": 6408, + "berser": 39037, + "bert": 17340, + "bert": 2358, + "berta": 45187, + "berth": 28317, + "bertie": 47182, + "berto": 34073, + "bertr": 36962, + "bertrand": 41594, + "berts": 30205, + "berty": 35973, + "berwick": 40407, + "bery": 11411, + "bes": 26911, + "bes": 3635, + "beside": 13519, + "besides": 17596, + "bespoke": 15612, + "bess": 43791, + "best": 3419, + "best": 949, + "bestbuy": 29749, + "bestest": 31199, + "bestfan": 23880, + "bestfanarmy": 24590, + "bestfriend": 29832, + "bestfriend": 11856, + "bestfriends": 23555, + "besti": 35210, + "bestie": 17188, + "besties": 27346, + "besto": 28615, + "bestof": 27892, + "bestof": 39533, + "bestseller": 25841, + "bestselling": 28632, + "bet": 1051, + "bet": 4430, + "beta": 43188, + "beta": 9505, + "betes": 10255, + "beth": 9993, + "beth": 4892, + "bethan": 18781, + "bethany": 39130, + "bethany": 27952, + "bethe": 12624, + "bethel": 33410, + "bethesda": 32527, + "bethle": 30760, + "bethlehem": 31827, + "betis": 45590, + "beto": 33721, + "betra": 18436, + "betrayal": 33171, + "betrayed": 35692, + "bets": 17107, + "betsy": 28946, + "bett": 17715, + "bett": 20489, + "betta": 36387, + "bette": 35855, + "better": 10320, + "better": 1539, + "bettertogether": 47392, + "betting": 14319, + "betts": 38637, + "betty": 36175, + "betty": 14350, + "between": 1957, + "beu": 38660, + "bev": 40324, + "bev": 30968, + "bever": 9924, + "beverage": 18694, + "beverages": 28521, + "beverley": 39165, + "beverly": 30906, + "beverly": 16728, + "beverlyhills": 45363, + "beware": 14532, + "bewithyou": 36787, + "bex": 18676, + "bex": 24748, + "bexhill": 49200, + "bey": 3234, + "bey": 6767, + "beyon": 11447, + "beyonce": 16632, + "beyoncé": 19219, + "beyond": 22246, + "beyond": 4432, + "bez": 28592, + "bez": 46764, + "bezos": 45000, + "bf": 19858, + "bf": 7990, + "bfc": 37183, + "bff": 11984, + "bffs": 31462, + "bfi": 34244, + "bg": 16674, + "bg": 11295, + "bgc": 47598, + "bgs": 47963, + "bgt": 40665, + "bh": 9930, + "bh": 13603, + "bha": 6144, + "bha": 33068, + "bhafc": 30779, + "bhagat": 49136, + "bhai": 48370, + "bhai": 20508, + "bhak": 34501, + "bham": 31874, + "bham": 23491, + "bhan": 27356, + "bhand": 48679, + "bhar": 9108, + "bharat": 27454, + "bharat": 17430, + "bharti": 46803, + "bhat": 23784, + "bhatt": 36143, + "bhav": 44950, + "bhi": 28943, + "bhi": 21955, + "bhk": 45070, + "bhm": 38741, + "bho": 19721, + "bhopal": 44573, + "bhp": 29776, + "bhs": 29195, + "bhu": 9172, + "bhuban": 38729, + "bhubanes": 41213, + "bhubaneswar": 45888, + "bhushan": 40884, + "bhutan": 32391, + "bhutto": 30153, + "bi": 717, + "bi": 3035, + "bia": 3841, + "biaf": 26961, + "biafra": 36355, + "bian": 19531, + "bian": 9027, + "bianca": 25854, + "bianchi": 45720, + "bians": 28141, + "bias": 11268, + "biased": 22178, + "bib": 44607, + "bib": 21022, + "bibi": 31182, + "bibl": 20912, + "bible": 26738, + "bible": 7583, + "bibli": 23465, + "biblical": 22841, + "biblio": 49131, + "bic": 5960, + "bic": 10675, + "bice": 35589, + "biceps": 46735, + "bick": 27238, + "bicy": 9247, + "bicycle": 11652, + "bicycles": 31326, + "bid": 21035, + "bid": 5553, + "bidding": 23237, + "bide": 45178, + "biden": 19451, + "bids": 16148, + "bie": 5561, + "bie": 4173, + "bieber": 48725, + "bieber": 7535, + "bien": 19176, + "bien": 25742, + "biennale": 33776, + "biennial": 36609, + "bier": 27226, + "bier": 23508, + "bies": 7867, + "big": 1915, + "big": 1205, + "bigbaldhead": 30325, + "bigbang": 41680, + "bigbang": 23734, + "bigdata": 9440, + "bige": 37762, + "bigfoot": 37095, + "bigg": 15312, + "bigg": 35399, + "biggboss": 27056, + "bigger": 6806, + "biggest": 19483, + "biggest": 3505, + "biggie": 28392, + "biggs": 46507, + "bigh": 18106, + "bighit": 35508, + "bigo": 14278, + "bigolive": 20735, + "bigotry": 37269, + "bigre": 36330, + "bih": 33471, + "bihar": 22849, + "bij": 42478, + "bik": 30306, + "bike": 11686, + "bike": 3701, + "biker": 36100, + "biker": 23449, + "bikers": 29468, + "bikes": 9227, + "bikin": 12638, + "biking": 19157, + "bikini": 14531, + "bil": 3092, + "bil": 20506, + "bilateral": 25599, + "bilbao": 34802, + "bild": 35512, + "bile": 25943, + "bilingual": 29623, + "bilities": 13582, + "bility": 4694, + "bill": 4444, + "bill": 2886, + "billboard": 10856, + "billboards": 34741, + "billed": 37558, + "billi": 7693, + "billie": 23990, + "billing": 31797, + "billings": 43615, + "billion": 14520, + "billion": 5729, + "billionaire": 19475, + "billionaires": 41590, + "billions": 20742, + "bills": 9810, + "billsmafia": 48845, + "billy": 15626, + "billy": 6814, + "bilt": 44770, + "bilt": 26654, + "bim": 46737, + "bim": 24775, + "bin": 4849, + "bin": 5346, + "binance": 43520, + "binary": 23497, + "bind": 44513, + "binder": 30541, + "binding": 21287, + "bine": 34848, + "bing": 24818, + "bing": 5665, + "binge": 22600, + "bingham": 43785, + "bingham": 47296, + "bingo": 18418, + "bino": 29172, + "bino": 24313, + "bins": 26934, + "bint": 43647, + "bio": 2830, + "bio": 5162, + "biode": 43502, + "biodegradable": 47740, + "biodiversity": 17428, + "biof": 45158, + "biographical": 49232, + "biography": 15423, + "biological": 18821, + "biologist": 35149, + "biology": 9796, + "biom": 13010, + "biomar": 44549, + "biomass": 36746, + "biome": 26218, + "biomed": 29280, + "biomedical": 33117, + "bionic": 46201, + "biop": 15009, + "biopic": 27942, + "bios": 48505, + "biotech": 22514, + "biotechnology": 40375, + "biotic": 33773, + "biotics": 41371, + "bious": 31845, + "bipartisan": 32266, + "bipolar": 37097, + "bique": 27809, + "bir": 921, + "bir": 16284, + "birch": 31569, + "birch": 22907, + "bird": 6908, + "bird": 3329, + "birdie": 29612, + "birdies": 45618, + "birding": 15851, + "birdman": 41915, + "birdphotography": 47999, + "birds": 41951, + "birds": 4337, + "birdwatching": 33497, + "birk": 48289, + "birken": 40661, + "birmin": 37482, + "birmingham": 38580, + "birmingham": 7720, + "birth": 1128, + "birth": 5397, + "birthday": 7381, + "birthday": 1166, + "birthdays": 17954, + "birthplace": 31429, + "biryani": 46489, + "bis": 5064, + "bis": 14461, + "biscu": 11532, + "biscuit": 18731, + "biscuits": 18248, + "bisexual": 36829, + "bish": 33690, + "bish": 31461, + "bishop": 20625, + "bishop": 8024, + "bishops": 31579, + "bison": 19741, + "bistro": 21770, + "bit": 3010, + "bit": 2010, + "bitcoin": 30848, + "bitcoin": 6366, + "bite": 41613, + "biting": 23016, + "bits": 7747, + "bitt": 39251, + "bius": 45525, + "bix": 46579, + "biz": 8212, + "biz": 5431, + "biza": 47013, + "bizar": 14886, + "bizarre": 16965, + "bizhour": 39462, + "bizitalk": 34929, + "bj": 4592, + "bj": 18229, + "bjj": 27437, + "bjor": 26525, + "bjp": 37264, + "bjp": 6178, + "bk": 15099, + "bk": 14083, + "bkk": 36433, + "bl": 833, + "bl": 9467, + "bla": 2205, + "bla": 19630, + "blac": 21008, + "black": 2025, + "black": 1449, + "blackand": 12809, + "blackandwhite": 23688, + "blackandwhite": 19506, + "blackandwhitephotography": 27544, + "blackberry": 16470, + "blackbird": 38526, + "blackburn": 23789, + "blackfish": 42193, + "blackfriday": 16445, + "blackgirl": 43591, + "blackhawks": 19203, + "blackhistory": 46982, + "blackhistorymonth": 20135, + "blacklist": 30295, + "blacklivesmatter": 23467, + "blackmail": 47295, + "blackops": 43519, + "blackout": 21733, + "blackpanther": 36592, + "blackpink": 20339, + "blackpool": 21031, + "blacks": 16351, + "blackwell": 42642, + "blad": 36635, + "bladder": 33593, + "blade": 10264, + "blades": 16893, + "blah": 29212, + "blaine": 32457, + "blair": 31824, + "blair": 14749, + "blake": 20229, + "blake": 9579, + "blame": 10695, + "blamed": 32906, + "blames": 27841, + "blaming": 29287, + "blan": 4609, + "blanc": 30936, + "blanc": 13301, + "blanca": 40670, + "blanchard": 40177, + "blanche": 34875, + "blanchett": 49378, + "blanco": 26801, + "bland": 44372, + "bland": 30799, + "blank": 15134, + "blanket": 12878, + "blankets": 24042, + "blanks": 48599, + "blasio": 35553, + "blasphe": 36622, + "blast": 46349, + "blast": 5964, + "blasted": 38976, + "blaster": 36341, + "blasting": 26178, + "blasts": 23067, + "blat": 22048, + "blatant": 41391, + "blatt": 39138, + "blau": 45307, + "blaz": 43413, + "blaze": 15497, + "blazer": 17606, + "blazers": 16984, + "blazing": 25267, + "bldg": 22981, + "ble": 1447, + "ble": 1059, + "bleach": 27034, + "bleak": 40355, + "bled": 12006, + "bleed": 23027, + "bleed": 24791, + "bleedblue": 39160, + "bleeding": 20311, + "bleeds": 47339, + "blen": 25651, + "blend": 10780, + "blended": 25813, + "blender": 25066, + "blending": 34307, + "blends": 28572, + "bler": 31305, + "bler": 11979, + "blers": 26930, + "bles": 5763, + "bless": 9640, + "bless": 5387, + "blessed": 4411, + "blessing": 10729, + "blessings": 11185, + "bleu": 30114, + "blew": 18176, + "bley": 43176, + "bli": 1450, + "bli": 28051, + "blin": 9678, + "blin": 5406, + "blind": 17248, + "blind": 8351, + "blinded": 49149, + "blindness": 38812, + "blinds": 32449, + "bling": 39764, + "bling": 7097, + "blink": 18976, + "bliss": 28531, + "bliss": 12893, + "blissful": 42145, + "blit": 39327, + "blitz": 42151, + "blitz": 17548, + "blizz": 13075, + "blizzard": 16111, + "blk": 42950, + "blk": 22872, + "blm": 30957, + "bln": 47348, + "blo": 1204, + "blo": 25505, + "blob": 49312, + "bloc": 30961, + "block": 4638, + "block": 4593, + "blockade": 33489, + "blockbuster": 19939, + "blockchain": 6653, + "blocked": 9106, + "blocker": 44767, + "blocking": 12652, + "blocks": 10113, + "blog": 16376, + "blog": 2589, + "blogg": 33282, + "blogged": 41380, + "blogger": 21352, + "blogger": 7806, + "bloggerrt": 48898, + "bloggers": 11627, + "blogging": 18090, + "blogpost": 41842, + "blogs": 16682, + "bloke": 24384, + "blom": 48996, + "blon": 7958, + "blond": 32426, + "blonde": 10711, + "blondes": 45130, + "blondie": 39236, + "bloo": 2373, + "blood": 9231, + "blood": 3590, + "blooded": 41946, + "bloodh": 48480, + "bloods": 39539, + "bloody": 38568, + "bloody": 9468, + "bloom": 7311, + "bloom": 10257, + "bloomberg": 43109, + "bloomberg": 21238, + "bloomfield": 40342, + "blooming": 45175, + "blooming": 19266, + "bloomington": 34731, + "blooms": 21439, + "bloss": 10017, + "blossom": 14472, + "blossoms": 21916, + "blot": 41710, + "blou": 44506, + "blouse": 23525, + "blow": 15230, + "blow": 10211, + "blower": 25832, + "blowing": 12087, + "blown": 11848, + "blowout": 34857, + "blows": 21063, + "blr": 47250, + "bls": 39458, + "blu": 1263, + "blu": 10273, + "blue": 3829, + "blue": 1746, + "bluebells": 47150, + "blueberries": 29551, + "blueberry": 18251, + "bluebird": 40747, + "bluec": 43194, + "bluef": 41174, + "bluegrass": 26241, + "bluejays": 18684, + "blueprint": 30594, + "blues": 17566, + "blues": 5159, + "blueslyrix": 47068, + "bluet": 13469, + "bluetooth": 14052, + "bluewave": 40025, + "bluff": 27232, + "bluffs": 48844, + "blum": 34818, + "blumen": 38714, + "blun": 34472, + "blunt": 19305, + "blur": 12102, + "blur": 27976, + "bluray": 36818, + "blurred": 38013, + "blurry": 21977, + "blush": 22889, + "blvd": 12578, + "bly": 20930, + "bly": 4426, + "bm": 4773, + "bm": 15916, + "bma": 42573, + "bmc": 27807, + "bmi": 40642, + "bmo": 39083, + "bms": 34074, + "bmw": 26637, + "bmw": 7869, + "bmx": 22535, + "bn": 10496, + "bn": 7992, + "bnb": 20010, + "bnha": 49336, + "bnp": 47910, + "bnw": 35903, + "bo": 647, + "bo": 2525, + "boa": 14732, + "boar": 7837, + "boar": 35473, + "board": 10419, + "board": 1972, + "boarded": 43052, + "boarder": 37414, + "boardgame": 47829, + "boardgames": 32646, + "boarding": 10086, + "boardroom": 47937, + "boards": 7963, + "boardwalk": 29043, + "boast": 44467, + "boasts": 30309, + "boat": 12426, + "boat": 4440, + "boath": 45461, + "boating": 21951, + "boats": 10080, + "boatsales": 46244, + "bob": 8444, + "bob": 4423, + "boba": 39948, + "bobb": 16891, + "bobble": 38796, + "bobblehead": 33451, + "bobby": 17847, + "bobby": 7816, + "bobc": 26153, + "bobcat": 37896, + "bobcats": 27568, + "bobo": 38939, + "bobs": 45533, + "boc": 27307, + "boc": 39042, + "boca": 26094, + "bock": 24961, + "bod": 17904, + "bod": 26340, + "boda": 42030, + "bode": 28452, + "bode": 40429, + "bodega": 47350, + "bodied": 36892, + "bodies": 9799, + "bodily": 49119, + "body": 7132, + "body": 1774, + "bodybuilding": 24538, + "bodyguard": 35565, + "boe": 23476, + "boe": 21773, + "boeh": 38002, + "boehner": 44599, + "boeing": 48135, + "boeing": 11857, + "boer": 44889, + "boer": 40768, + "bog": 23426, + "bog": 28318, + "bogo": 35769, + "bogota": 47059, + "bogus": 42907, + "boh": 43238, + "bohe": 40541, + "bohemi": 21552, + "bohemian": 25753, + "boho": 25444, + "boi": 37129, + "boi": 12673, + "boil": 31332, + "boiled": 23886, + "boiler": 28212, + "boiler": 25615, + "boiling": 32019, + "bois": 47742, + "bois": 21640, + "boise": 23304, + "bok": 26671, + "bok": 15289, + "boko": 30929, + "boks": 40216, + "bol": 2860, + "bol": 8413, + "bola": 12840, + "bold": 26975, + "bold": 8911, + "boldand": 48413, + "boldly": 44778, + "boli": 12722, + "bolic": 27343, + "bolivia": 28628, + "bollah": 36336, + "bolly": 25302, + "bollywood": 32448, + "bollywood": 9604, + "bolo": 40236, + "bolog": 22818, + "bologna": 27513, + "bolster": 47304, + "bolt": 13131, + "bolton": 48757, + "bolton": 16598, + "bolts": 26028, + "bom": 3012, + "bom": 19469, + "bomb": 18091, + "bomb": 6331, + "bombar": 25544, + "bombardier": 42700, + "bombay": 48602, + "bombay": 23890, + "bombed": 24542, + "bomber": 15436, + "bombers": 21786, + "bombing": 14475, + "bombings": 43236, + "bombs": 14410, + "bombshell": 36340, + "bon": 1871, + "bon": 4216, + "bona": 33342, + "bonanza": 40304, + "bond": 37022, + "bond": 6826, + "bonded": 37390, + "bondi": 40092, + "bonding": 19609, + "bonds": 15786, + "bone": 22502, + "bone": 6195, + "bones": 9476, + "bonfire": 23151, + "bongo": 47519, + "boni": 32269, + "boni": 46356, + "bonita": 42896, + "bonjour": 33176, + "bonkers": 39865, + "bonn": 38969, + "bonnar": 47191, + "bonnaroo": 48777, + "bonne": 25844, + "bonnet": 30636, + "bonnie": 18555, + "bono": 24476, + "bons": 42883, + "bonsai": 44129, + "bonus": 8164, + "bonuses": 35144, + "boo": 824, + "boo": 7317, + "boogie": 22639, + "book": 2828, + "book": 1116, + "bookboost": 31257, + "bookclub": 34438, + "bookday": 26327, + "booked": 12584, + "booker": 21302, + "bookfest": 39381, + "booking": 10145, + "bookings": 18345, + "booklet": 27405, + "bookmark": 33596, + "bookof": 45629, + "bookreview": 27362, + "books": 44382, + "books": 2161, + "bookshelf": 34821, + "bookshop": 24705, + "bookstore": 17999, + "bookstores": 46416, + "bookworm": 20743, + "boom": 9609, + "boom": 7121, + "boomer": 33819, + "boomer": 31766, + "boomers": 37988, + "booming": 33487, + "boon": 24979, + "boon": 35821, + "boone": 23453, + "boop": 45047, + "boost": 44639, + "boost": 6260, + "boosted": 37631, + "booster": 20877, + "boosters": 46859, + "boosting": 28480, + "boosts": 29247, + "boot": 10843, + "boot": 8087, + "bootcamp": 22051, + "booted": 42564, + "booth": 47895, + "booth": 3971, + "booths": 32653, + "booties": 46188, + "bootleg": 38139, + "boots": 7319, + "booze": 24341, + "bop": 19720, + "bor": 1141, + "bor": 15093, + "bora": 24736, + "bord": 36891, + "bordeaux": 22009, + "border": 16304, + "border": 6177, + "borderlands": 38676, + "borders": 13900, + "bore": 14084, + "bore": 24638, + "bored": 8933, + "boredom": 31460, + "boretum": 38902, + "borg": 14770, + "borgh": 17180, + "boring": 12519, + "boris": 31212, + "boris": 15704, + "borisjohnson": 44481, + "born": 17695, + "born": 2683, + "borne": 42910, + "borne": 9328, + "borneo": 33332, + "bornon": 41811, + "bornonthisday": 42757, + "boro": 26796, + "boro": 7974, + "borough": 22761, + "borough": 6203, + "borrow": 22293, + "borrowed": 28224, + "borrowing": 41045, + "borussia": 36764, + "bos": 14885, + "bos": 9644, + "bosa": 46946, + "bosch": 42009, + "bosch": 19466, + "bosco": 36960, + "bose": 23142, + "bosh": 42244, + "bosni": 42924, + "bosnia": 31396, + "boss": 17935, + "boss": 4206, + "bosses": 23906, + "boston": 11540, + "boston": 4399, + "bostonmarathon": 44533, + "bot": 4136, + "bot": 6947, + "botan": 12554, + "botanic": 32560, + "botanical": 21026, + "botany": 22612, + "botd": 34451, + "both": 36575, + "both": 2212, + "bother": 21125, + "bothered": 27997, + "botox": 43449, + "bots": 13721, + "botswana": 27584, + "bott": 3520, + "bott": 37225, + "bottle": 37306, + "bottle": 5392, + "bottled": 29331, + "bottlen": 46439, + "bottles": 9754, + "bottling": 42006, + "bottom": 32314, + "bottom": 5931, + "bottoms": 31524, + "bou": 3728, + "bou": 23165, + "bouchard": 47930, + "boudo": 48827, + "bought": 4142, + "boul": 24830, + "boulder": 18260, + "boule": 17652, + "boulevard": 19504, + "boun": 5993, + "bounce": 14316, + "bouncing": 32060, + "bouncy": 43415, + "bound": 15140, + "bound": 4567, + "boundaries": 18690, + "boundary": 21344, + "bounds": 37469, + "bounty": 21142, + "bouquet": 20961, + "bour": 2934, + "bour": 35486, + "bourbon": 48118, + "bourbon": 14652, + "bourdain": 48095, + "bourg": 20690, + "bourgeo": 45672, + "bourn": 39143, + "bourne": 13789, + "bourne": 5192, + "bournemouth": 20911, + "bout": 19982, + "bout": 8123, + "bouti": 10926, + "boutique": 12179, + "bow": 2297, + "bow": 4040, + "bowden": 48538, + "bowed": 49130, + "bowel": 36880, + "bowen": 25368, + "bower": 40414, + "bowers": 42238, + "bowie": 13036, + "bowing": 46398, + "bowl": 26719, + "bowl": 3814, + "bowled": 39987, + "bowler": 25528, + "bowlers": 42632, + "bowles": 41611, + "bowling": 10390, + "bowls": 17787, + "bowman": 22052, + "bows": 17000, + "bowser": 38234, + "bowski": 48311, + "box": 2774, + "box": 2063, + "boxed": 24190, + "boxer": 40394, + "boxer": 15363, + "boxers": 31019, + "boxes": 8350, + "boxing": 33669, + "boxing": 5554, + "boy": 2927, + "boy": 1876, + "boyband": 31568, + "boyce": 44480, + "boycot": 46208, + "boycott": 31615, + "boycott": 19559, + "boyd": 18295, + "boyfriend": 7328, + "boyfriends": 36541, + "boyle": 22802, + "boys": 25223, + "boys": 2034, + "boyz": 16152, + "bp": 23410, + "bp": 11558, + "bpa": 43855, + "bpd": 48587, + "bpl": 28901, + "bpm": 40338, + "bps": 37794, + "br": 711, + "br": 7532, + "bra": 1195, + "bra": 5860, + "brac": 6663, + "brace": 8376, + "brace": 9183, + "bracelet": 8969, + "bracelets": 20027, + "braces": 19249, + "brack": 25676, + "bracket": 14780, + "brackets": 36183, + "brad": 4848, + "brad": 9405, + "bradbury": 45097, + "braden": 46842, + "bradford": 15062, + "bradley": 31905, + "bradley": 10952, + "brador": 24062, + "bradshaw": 37556, + "brady": 42494, + "brady": 11117, + "brae": 42874, + "brae": 40040, + "brag": 30110, + "bragg": 38545, + "bragging": 38199, + "brah": 20276, + "brahms": 45114, + "brai": 25048, + "braid": 31067, + "braided": 39997, + "braids": 34221, + "brain": 9454, + "brain": 4812, + "brains": 17129, + "brainstorming": 36607, + "braised": 28363, + "brake": 14937, + "brakes": 23456, + "bral": 31309, + "bram": 14815, + "bram": 39456, + "brampton": 35124, + "bran": 3684, + "bran": 28348, + "brance": 36072, + "brance": 15413, + "branch": 7998, + "branches": 15843, + "brand": 3910, + "brand": 2896, + "branded": 18097, + "brandi": 41003, + "branding": 10841, + "brando": 41892, + "brandon": 20423, + "brandon": 9166, + "brands": 8681, + "brandt": 22552, + "brandy": 26232, + "brane": 32340, + "branson": 28280, + "brant": 28951, + "brant": 47592, + "braries": 46377, + "brary": 24520, + "bras": 22611, + "brasil": 18991, + "brass": 24348, + "brass": 11655, + "brat": 26717, + "brat": 26631, + "brate": 41864, + "braun": 39129, + "braun": 29309, + "brave": 25461, + "brave": 7769, + "braved": 47663, + "bravely": 42303, + "bravery": 25831, + "braves": 14422, + "braving": 43258, + "bravo": 38613, + "bravo": 13006, + "braw": 37871, + "brawl": 26066, + "braxton": 37451, + "bray": 26256, + "bray": 22993, + "braz": 4625, + "brazil": 47459, + "brazil": 6305, + "brazili": 45697, + "brazilian": 12111, + "brb": 25316, + "brc": 40393, + "bre": 887, + "bre": 7782, + "brea": 7318, + "brea": 46538, + "breach": 21363, + "breaches": 45173, + "bread": 18886, + "bread": 5066, + "breads": 43064, + "break": 2206, + "break": 2568, + "breakable": 30691, + "breakaway": 42732, + "breakdown": 14519, + "breaker": 14814, + "breakers": 22270, + "breakfa": 45931, + "breakfast": 30210, + "breakfast": 3290, + "breaking": 14698, + "breaking": 2755, + "breakingbad": 38032, + "breakingnews": 23837, + "breakout": 16752, + "breaks": 7263, + "breakthrough": 18802, + "breakup": 38931, + "breast": 12930, + "breast": 9475, + "breastcancer": 40813, + "breastcancer": 30065, + "breastfeeding": 29033, + "breasts": 37637, + "breath": 9508, + "breath": 9576, + "breathe": 11364, + "breathing": 14959, + "breathtaking": 14709, + "brecht": 34622, + "breck": 44598, + "bred": 46929, + "bred": 16008, + "bree": 7892, + "bree": 37138, + "breed": 28030, + "breed": 13791, + "breeders": 37472, + "breeding": 16544, + "breeds": 29021, + "breen": 48013, + "brees": 46721, + "breeze": 13125, + "breezy": 21451, + "breit": 23864, + "breitbart": 37926, + "brek": 35494, + "bremen": 39861, + "bren": 5209, + "brenda": 23786, + "brendan": 35134, + "brendan": 15414, + "brendon": 36756, + "brennan": 22372, + "brenner": 42941, + "brent": 31439, + "brent": 16355, + "brentwood": 33108, + "brero": 47781, + "bres": 32561, + "bret": 38020, + "bret": 32548, + "brethren": 43134, + "breton": 32290, + "brett": 22591, + "brett": 12394, + "brev": 42882, + "brevi": 39475, + "brew": 5048, + "brew": 7253, + "brewco": 33582, + "brewed": 23238, + "brewer": 20756, + "breweries": 35277, + "brewers": 17618, + "brewery": 8850, + "brewing": 8275, + "brewingco": 45155, + "brews": 21663, + "brewster": 40274, + "brex": 22726, + "brexit": 27666, + "brexit": 5801, + "brgy": 35983, + "bri": 1036, + "bri": 18636, + "bria": 35890, + "brian": 9824, + "brian": 4989, + "brianna": 32308, + "briar": 46119, + "bribe": 40042, + "bribery": 41792, + "bric": 27055, + "brice": 40190, + "brick": 13937, + "brick": 9518, + "bricks": 21029, + "brics": 48196, + "brid": 16995, + "bridal": 36875, + "bridal": 14284, + "bride": 18342, + "bride": 8964, + "brides": 18067, + "bridesma": 28356, + "bridesmaid": 43399, + "bridesmaids": 47754, + "bridg": 20623, + "bridge": 8647, + "bridge": 2465, + "bridgeport": 45201, + "bridges": 11811, + "bridget": 27073, + "bridgewater": 38732, + "bridging": 38109, + "brie": 26622, + "brief": 9435, + "brief": 8954, + "briefed": 47326, + "briefing": 12991, + "briefly": 26980, + "briefs": 29557, + "brien": 13504, + "brier": 43995, + "brig": 11081, + "briga": 46448, + "brigade": 16032, + "briggs": 28108, + "brigh": 6710, + "bright": 10383, + "bright": 4852, + "brighten": 18208, + "brightening": 43929, + "brighter": 18507, + "brightest": 26159, + "brightly": 36298, + "brightness": 42280, + "brighton": 28416, + "brighton": 9470, + "brigitte": 44421, + "brill": 27342, + "brill": 28601, + "brilli": 3821, + "brilliance": 28146, + "brilliant": 4106, + "brilliantly": 26803, + "brin": 25620, + "bring": 11596, + "bring": 2430, + "bringback": 28969, + "bringbackour": 45403, + "bringing": 4777, + "brings": 5138, + "brink": 39296, + "brink": 28796, + "brioche": 45818, + "bris": 9385, + "bris": 15783, + "brisban": 30431, + "brisbane": 42932, + "brisbane": 12407, + "brisk": 43646, + "brisket": 31920, + "bristol": 18159, + "bristol": 8010, + "brit": 2318, + "brit": 20066, + "britain": 40802, + "britain": 6272, + "britanni": 31373, + "britannia": 36188, + "brite": 33827, + "briti": 8155, + "british": 8651, + "british": 3504, + "britishmuseum": 41858, + "britney": 37192, + "britney": 21853, + "britneyspears": 42990, + "brits": 21832, + "britt": 10811, + "britt": 25976, + "brittany": 38187, + "brittany": 18818, + "britton": 37422, + "brium": 46079, + "brixton": 30056, + "bro": 927, + "bro": 4410, + "broad": 3491, + "broad": 12623, + "broadband": 21050, + "broadcast": 8967, + "broadcaster": 29005, + "broadcasting": 14403, + "broadcasts": 46742, + "broader": 36029, + "broadway": 34599, + "broadway": 9092, + "broc": 15587, + "broccoli": 19094, + "broch": 21419, + "brochure": 25275, + "brock": 14841, + "brock": 16745, + "brodie": 42150, + "brody": 29608, + "broke": 42165, + "broke": 6509, + "broken": 26126, + "broken": 5107, + "broker": 34032, + "broker": 20449, + "brokerage": 41327, + "brokers": 28271, + "brom": 18972, + "brom": 33296, + "bromance": 35353, + "bromley": 35715, + "bron": 4011, + "bron": 10243, + "bronco": 43488, + "bronco": 34370, + "broncos": 12516, + "bronson": 37042, + "bronte": 48936, + "bronx": 48310, + "bronx": 17183, + "brony": 21084, + "bronze": 8459, + "broo": 5204, + "brooch": 21207, + "brook": 4782, + "brook": 7322, + "brooke": 28576, + "brooke": 12549, + "brookes": 39707, + "brooklyn": 23253, + "brooklyn": 6983, + "brooks": 42779, + "brooks": 9991, + "broom": 32046, + "broom": 28008, + "broome": 49335, + "bros": 7776, + "broth": 29994, + "brotha": 33974, + "brother": 12697, + "brother": 3157, + "brotherhood": 19059, + "brothers": 4548, + "brou": 27874, + "brough": 21033, + "brought": 4222, + "brov": 42881, + "brow": 6547, + "brow": 15895, + "broward": 34719, + "brown": 6315, + "brown": 2866, + "browne": 28440, + "brownie": 23045, + "brownies": 22312, + "browning": 32241, + "browns": 14051, + "brows": 14998, + "browse": 19060, + "browser": 19768, + "browsing": 29318, + "brox": 43539, + "brs": 47485, + "brt": 46936, + "bru": 1698, + "bru": 31028, + "bruce": 21223, + "bruce": 7085, + "bruh": 17575, + "bruins": 14736, + "bruise": 48048, + "bruised": 46502, + "brum": 23862, + "brum": 28078, + "brun": 6870, + "brunch": 9113, + "brune": 29057, + "brunei": 41898, + "brunette": 35528, + "bruno": 14568, + "brunomars": 41156, + "brunswick": 24012, + "brush": 27969, + "brush": 8594, + "brushed": 30298, + "brushes": 21550, + "brushing": 35072, + "brussels": 11020, + "brut": 39499, + "brutal": 42144, + "brutal": 14556, + "brutality": 31348, + "brutally": 28132, + "brute": 47552, + "brux": 49093, + "bry": 6587, + "bry": 28228, + "bryan": 16134, + "bryan": 10412, + "bryant": 12256, + "bryce": 19895, + "bryn": 36569, + "bryn": 42877, + "bryson": 38990, + "bs": 11783, + "bs": 1329, + "bsa": 46619, + "bsb": 23070, + "bsbi": 41728, + "bsbibotany": 42086, + "bsc": 32031, + "bsd": 41848, + "bse": 46341, + "bsf": 48314, + "bsgo": 48474, + "bsp": 47977, + "bst": 19698, + "bsu": 46385, + "bt": 3317, + "bt": 4205, + "btc": 10315, + "btcc": 30759, + "btn": 44681, + "bto": 35516, + "btob": 29379, + "btr": 39767, + "bts": 15154, + "bts": 4007, + "btsarmy": 30302, + "btsbbmas": 35297, + "btsx": 44971, + "btv": 38541, + "btw": 9520, + "btwn": 28284, + "bu": 609, + "bu": 5831, + "bub": 27704, + "bub": 33158, + "bubb": 9739, + "bubba": 28149, + "bubble": 28687, + "bubble": 10799, + "bubblegum": 48078, + "bubbles": 17648, + "bubbly": 31034, + "buc": 8207, + "buccane": 32830, + "buccaneers": 38058, + "buch": 22623, + "bucha": 43582, + "buchan": 27237, + "buchanan": 28975, + "bucharest": 37013, + "buck": 6061, + "buck": 11433, + "bucket": 22596, + "bucket": 10498, + "bucketlist": 30778, + "buckets": 27168, + "buckeye": 34549, + "buckeyes": 30741, + "buckingham": 28736, + "buckle": 21948, + "buckley": 25905, + "bucks": 6103, + "bucky": 35916, + "bucs": 20011, + "bud": 2942, + "bud": 10737, + "buda": 18520, + "buda": 49012, + "budapest": 19202, + "budd": 7296, + "buddha": 13981, + "buddhism": 23744, + "buddhist": 18697, + "buddies": 14543, + "budding": 31992, + "buddy": 40948, + "buddy": 6557, + "budge": 32005, + "budget": 46758, + "budget": 5639, + "budgeting": 43789, + "budgets": 36419, + "buds": 14665, + "budweiser": 40900, + "buen": 15640, + "buena": 30876, + "buenas": 48529, + "bueno": 46202, + "buenos": 26055, + "buf": 44417, + "buff": 5456, + "buff": 21416, + "buffal": 25836, + "buffalo": 31231, + "buffalo": 8054, + "buffalob": 38831, + "buffalobills": 44352, + "buffe": 13724, + "buffer": 33050, + "buffet": 17829, + "buffett": 34081, + "buffs": 28906, + "buffy": 33356, + "bug": 14453, + "bug": 8162, + "bugatti": 35451, + "buggy": 28963, + "bugs": 13850, + "buh": 31406, + "buhari": 14661, + "buick": 22000, + "buil": 1354, + "build": 22739, + "build": 3289, + "builder": 14474, + "builders": 17694, + "building": 21206, + "building": 2307, + "buildings": 8866, + "builds": 16449, + "buildthe": 41497, + "built": 45824, + "built": 3874, + "buk": 28084, + "buk": 24317, + "buka": 47778, + "bukit": 39888, + "bul": 2572, + "bul": 10200, + "bula": 18726, + "bulaga": 41575, + "bular": 32187, + "bulb": 22373, + "bulbs": 24808, + "bulgar": 15424, + "bulgaria": 20295, + "bulgarian": 38693, + "bulge": 47603, + "bulk": 19643, + "bull": 4537, + "bull": 6029, + "bulldo": 37675, + "bulldog": 34828, + "bulldog": 15611, + "bulldogs": 13916, + "bullet": 14340, + "bullet": 12465, + "bulletin": 19638, + "bulletproof": 43212, + "bullets": 22117, + "bullied": 34689, + "bullies": 39050, + "bullion": 49114, + "bullish": 22142, + "bullock": 33198, + "bullpen": 38081, + "bulls": 10313, + "bully": 43111, + "bully": 20190, + "bullying": 13548, + "bum": 27683, + "bum": 14226, + "bumble": 25585, + "bumble": 39303, + "bumblebee": 36911, + "bummed": 48456, + "bump": 9783, + "bump": 15877, + "bumped": 22495, + "bumper": 17881, + "bumping": 40196, + "bumps": 21115, + "bun": 2591, + "bun": 13665, + "bunch": 7796, + "bund": 41905, + "bunde": 18841, + "bundesliga": 21582, + "bundle": 11793, + "bundled": 47228, + "bundles": 29834, + "bundy": 37332, + "bung": 44748, + "bungal": 29549, + "bungalow": 33696, + "bunk": 41236, + "bunker": 23615, + "bunnies": 28998, + "bunny": 34198, + "bunny": 9258, + "buns": 22235, + "bunting": 30695, + "buon": 31350, + "buon": 48498, + "bur": 1039, + "bur": 17362, + "burbank": 34862, + "burberry": 30412, + "burch": 44588, + "burden": 18687, + "bure": 11902, + "bureau": 32098, + "bureau": 15400, + "burg": 19505, + "burg": 3499, + "burge": 20522, + "burger": 22356, + "burger": 6548, + "burgers": 13007, + "burgess": 26211, + "burgh": 18141, + "burgh": 4965, + "burgl": 25554, + "burglar": 43365, + "burglary": 32573, + "burgring": 40823, + "burgundy": 23650, + "buri": 46348, + "buri": 42614, + "burial": 22012, + "buried": 14233, + "burk": 48822, + "burke": 15340, + "burle": 27891, + "burlesque": 33732, + "burlington": 23370, + "burma": 30305, + "burmese": 47906, + "burn": 7934, + "burn": 4285, + "burnaby": 47541, + "burne": 27246, + "burned": 15022, + "burner": 23243, + "burnett": 28558, + "burnham": 36111, + "burning": 46107, + "burning": 8405, + "burnley": 24653, + "burnout": 36078, + "burns": 10234, + "burnt": 15185, + "burr": 30879, + "burrell": 49045, + "burrito": 23473, + "burritos": 47245, + "burroughs": 41337, + "burrows": 44846, + "burst": 13005, + "bursting": 32566, + "bursts": 37026, + "burt": 27162, + "burton": 42354, + "burton": 12704, + "burundi": 33595, + "bury": 12276, + "bury": 3899, + "burys": 32362, + "bus": 1319, + "bus": 2840, + "busan": 40172, + "busc": 35000, + "busch": 20475, + "buses": 12879, + "bush": 11191, + "bush": 6867, + "bushes": 37578, + "busiest": 32764, + "busine": 4598, + "busines": 25364, + "business": 8346, + "business": 1716, + "businesses": 7287, + "businessman": 25635, + "buss": 47764, + "bust": 31299, + "bust": 9959, + "busted": 18643, + "buster": 37219, + "buster": 12094, + "busters": 16362, + "busting": 29622, + "busy": 39332, + "busy": 4354, + "but": 2201, + "but": 767, + "butch": 35102, + "butcher": 18732, + "butchers": 42334, + "bute": 39240, + "butes": 14630, + "butler": 35867, + "butler": 10702, + "butt": 12500, + "butt": 31523, + "butte": 31678, + "butter": 5427, + "butter": 6952, + "butterflies": 16232, + "butterfly": 9738, + "buttermilk": 40180, + "butternut": 36867, + "buttery": 45535, + "button": 45480, + "button": 8007, + "buttons": 16188, + "butts": 25309, + "buu": 42313, + "buuren": 47752, + "buxton": 41370, + "buy": 11632, + "buy": 2131, + "buyer": 14682, + "buyers": 14663, + "buying": 6566, + "buys": 15560, + "buzz": 7866, + "buzz": 8706, + "buzzard": 47434, + "buzzer": 38064, + "buzzfeed": 26613, + "buzzing": 18511, + "bv": 18958, + "bv": 35861, + "bvb": 22454, + "bw": 17672, + "bw": 15120, + "bway": 26652, + "bwfc": 40918, + "bwo": 45902, + "bx": 33633, + "by": 1713, + "by": 638, + "bye": 20076, + "bye": 4460, + "byes": 47958, + "byl": 34994, + "byn": 46917, + "byn": 11890, + "byo": 28039, + "bypass": 26530, + "byr": 15534, + "byrd": 30369, + "byrne": 19676, + "byron": 43504, + "byron": 19775, + "bys": 26740, + "bystand": 46138, + "byte": 42798, + "bytes": 39538, + "bythe": 36621, + "byu": 41072, + "byu": 23770, + "byz": 35406, + "byzantine": 44081, + "bz": 13631, + "bé": 40365, + "bü": 38706, + "c": 66, + "c": 322, + "ca": 772, + "ca": 1684, + "caa": 19316, + "cab": 3033, + "cab": 11912, + "cabaret": 26263, + "cabbage": 18407, + "cabe": 32731, + "cabello": 34371, + "caber": 29062, + "cabernet": 33730, + "cabin": 14178, + "cabine": 23354, + "cabinet": 9937, + "cabinets": 33083, + "cabins": 48455, + "cable": 7925, + "cables": 22408, + "cabo": 37318, + "cabo": 28370, + "cabrera": 42338, + "cabs": 42048, + "cac": 8298, + "cac": 23872, + "cacao": 38022, + "cache": 28993, + "caching": 40655, + "cactus": 19794, + "cad": 6297, + "cad": 20166, + "caday": 34187, + "cadbury": 44698, + "caddy": 41521, + "cade": 10497, + "cade": 17306, + "cadet": 22764, + "cadets": 19160, + "cadillac": 18156, + "cae": 49264, + "caer": 28298, + "caes": 15740, + "caesar": 21642, + "caesars": 42162, + "caf": 3471, + "caf": 20867, + "cafc": 30748, + "cafe": 15201, + "cafe": 4979, + "cafes": 40166, + "cafeteria": 32817, + "caffe": 18258, + "caffe": 45416, + "caffeine": 22487, + "café": 15304, + "cag": 15714, + "cage": 11838, + "cages": 37939, + "cah": 40519, + "cahill": 33185, + "cai": 38971, + "cai": 36116, + "cain": 13747, + "caine": 16799, + "cair": 15804, + "cair": 46659, + "cairn": 31264, + "cairn": 42467, + "cairngor": 44067, + "cairns": 32941, + "cairo": 19615, + "cait": 14116, + "caitlin": 47768, + "caitlin": 26809, + "caitlyn": 35763, + "cajun": 43425, + "cajun": 33044, + "cak": 42986, + "cake": 15295, + "cake": 2972, + "cakeday": 46207, + "cakes": 5950, + "cal": 1198, + "cal": 6372, + "cala": 32133, + "calab": 31795, + "calais": 39886, + "calam": 28841, + "calc": 45055, + "calci": 22824, + "calcium": 27815, + "calcu": 15328, + "calcul": 15734, + "calculate": 37656, + "calculated": 40688, + "calculations": 44605, + "calculator": 26093, + "calculus": 35104, + "calcutta": 42901, + "calder": 29372, + "calder": 36817, + "caldwell": 30484, + "cale": 32674, + "caleb": 19619, + "caled": 28421, + "calend": 6057, + "calendar": 7122, + "calendars": 17229, + "calf": 17508, + "calgary": 27415, + "calgary": 10797, + "calhoun": 38929, + "cali": 2857, + "cali": 16337, + "caliber": 32820, + "calibr": 32597, + "calico": 45379, + "calif": 30839, + "califor": 3526, + "californi": 21303, + "california": 3729, + "call": 7950, + "call": 1620, + "calla": 20658, + "callahan": 43313, + "callaway": 42596, + "callback": 44764, + "calle": 47699, + "calle": 38144, + "called": 2726, + "caller": 30666, + "calli": 16338, + "callie": 36512, + "calligraphy": 27775, + "calling": 4597, + "callister": 49026, + "callme": 42449, + "callof": 41280, + "calls": 4572, + "callum": 23224, + "calm": 34990, + "calm": 7011, + "calming": 30690, + "calorie": 32679, + "calories": 18029, + "cals": 47714, + "calum": 16405, + "calvary": 40169, + "calvert": 47134, + "calves": 31857, + "calvin": 27642, + "calvin": 17345, + "caly": 10244, + "calyp": 29851, + "cam": 1004, + "cam": 5982, + "camar": 31991, + "camber": 44362, + "cambo": 14662, + "cambodia": 17347, + "cambridge": 24651, + "cambridge": 9334, + "cambridgeshire": 46139, + "camden": 38735, + "camden": 17984, + "came": 1986, + "camel": 27005, + "camel": 21914, + "camels": 41357, + "cameo": 19492, + "camer": 4961, + "camera": 3934, + "cameraman": 43347, + "cameras": 12172, + "camero": 20320, + "cameron": 19634, + "cameron": 8057, + "camerondallas": 40587, + "cameroon": 24061, + "camil": 37745, + "camila": 19919, + "camilla": 38897, + "camille": 26741, + "camino": 28529, + "camo": 28702, + "camo": 19716, + "camogie": 39547, + "camou": 23588, + "camoufla": 23667, + "camouflage": 29049, + "camp": 2854, + "camp": 2877, + "campa": 2793, + "campaig": 9448, + "campaign": 44524, + "campaign": 3193, + "campaigner": 46364, + "campaigners": 40272, + "campaigning": 19594, + "campaigns": 15669, + "campan": 31765, + "campbell": 29094, + "campbell": 8806, + "campe": 16672, + "campeon": 49109, + "campeones": 30105, + "camper": 41914, + "camper": 24522, + "campers": 26619, + "campfire": 32530, + "campground": 46969, + "camping": 9982, + "campo": 27600, + "campos": 48077, + "camps": 12806, + "campsite": 44243, + "campu": 19687, + "campus": 4560, + "campuses": 31895, + "camra": 46155, + "camry": 46472, + "cams": 32590, + "can": 950, + "can": 753, + "cana": 28341, + "canad": 13193, + "canada": 2698, + "canadaday": 39800, + "canadi": 4329, + "canadian": 22160, + "canadian": 5255, + "canadians": 18989, + "canadiens": 40932, + "canal": 28585, + "canal": 9535, + "canals": 38483, + "canaria": 47117, + "canary": 40409, + "canary": 24523, + "canberra": 16719, + "canc": 43189, + "cancel": 12026, + "cancel": 21546, + "canceled": 25874, + "cancell": 28027, + "cancellation": 38765, + "cancelled": 13270, + "cancels": 34089, + "cancer": 12690, + "cancer": 3148, + "cancers": 33201, + "cancun": 34721, + "cand": 4986, + "candace": 45623, + "candel": 47834, + "candi": 6034, + "candice": 30024, + "candid": 7884, + "candid": 19206, + "candidacy": 46248, + "candidate": 6475, + "candidates": 8619, + "candied": 43982, + "candies": 46305, + "candle": 18995, + "candle": 12674, + "candlelight": 34724, + "candles": 15472, + "candy": 20741, + "candy": 6417, + "cane": 23644, + "cane": 14716, + "canelo": 43210, + "canes": 21902, + "cani": 35592, + "canine": 27380, + "cann": 4139, + "cann": 23709, + "cannab": 7577, + "cannabis": 31837, + "cannabis": 8861, + "canne": 44252, + "canned": 27290, + "cannes": 13773, + "canni": 26389, + "canning": 38621, + "cannon": 28771, + "cannon": 15661, + "cannons": 46269, + "cannot": 4785, + "canny": 26986, + "cano": 31668, + "cano": 25937, + "canoe": 23503, + "canola": 40389, + "canon": 17749, + "canon": 9310, + "canopy": 26061, + "cans": 13707, + "cant": 13395, + "cant": 5784, + "canteen": 39230, + "canter": 19301, + "canterbury": 22271, + "canti": 42845, + "cantina": 47472, + "canton": 37735, + "canton": 25363, + "cantore": 41769, + "cantwait": 33760, + "canu": 20171, + "canucks": 24321, + "canv": 30714, + "canvas": 22441, + "canvas": 7483, + "canvass": 40054, + "canvassing": 33783, + "cany": 47674, + "canyon": 41246, + "canyon": 9755, + "cao": 29207, + "cap": 1289, + "cap": 3938, + "capabilities": 19512, + "capability": 25885, + "capable": 14742, + "capac": 24665, + "capacity": 8970, + "capcom": 28342, + "cape": 10288, + "cape": 6631, + "capecod": 41339, + "capes": 38785, + "capetown": 20059, + "capit": 6889, + "capita": 41833, + "capital": 11198, + "capital": 5439, + "capitalism": 20068, + "capitalist": 37015, + "capitals": 29579, + "capitol": 43880, + "capitol": 11375, + "capo": 45477, + "capp": 16718, + "capped": 24659, + "capping": 42656, + "cappuccino": 37402, + "capri": 48699, + "capri": 30982, + "capric": 28667, + "capricorn": 46314, + "caps": 23185, + "capsu": 15608, + "capsul": 40341, + "capsule": 20627, + "capsules": 32870, + "capt": 45815, + "capt": 17369, + "captain": 14958, + "captain": 4621, + "captainamerica": 46229, + "captainmarvel": 48492, + "captains": 18706, + "caption": 11327, + "captions": 41878, + "captiv": 19776, + "captivating": 30580, + "captive": 29038, + "captivity": 41141, + "capture": 8818, + "captured": 8020, + "captures": 15305, + "capturing": 19548, + "capu": 44241, + "car": 811, + "car": 1615, + "cara": 20016, + "carab": 32251, + "carac": 30029, + "caracas": 45854, + "caramel": 14788, + "carameli": 41739, + "caramelized": 43854, + "carat": 32981, + "carav": 13814, + "caravan": 18566, + "carb": 21379, + "carbo": 43235, + "carbon": 14038, + "carbon": 7549, + "carbs": 29313, + "carcin": 31587, + "carcinoma": 46810, + "card": 10793, + "card": 2601, + "cardam": 49008, + "cardboard": 19845, + "cardi": 6211, + "cardi": 29677, + "cardiac": 21256, + "cardiff": 22488, + "cardiff": 9781, + "cardigan": 30501, + "cardin": 8457, + "cardinal": 46310, + "cardinal": 16472, + "cardinals": 12837, + "cardio": 15003, + "cardio": 23455, + "cardiology": 37276, + "cardiovascular": 29291, + "cardo": 40625, + "cards": 4094, + "care": 2050, + "care": 1776, + "cared": 27675, + "career": 20609, + "career": 3061, + "careers": 10090, + "careful": 11999, + "carefully": 15789, + "caregi": 22042, + "caregiver": 46372, + "caregivers": 35909, + "careless": 47325, + "carers": 26484, + "cares": 10968, + "caretaker": 48037, + "carey": 14895, + "cargo": 12490, + "cari": 18497, + "cari": 37273, + "carib": 9757, + "caribbean": 10368, + "caribou": 42135, + "caric": 25337, + "caricature": 38857, + "carina": 44357, + "caring": 13083, + "carl": 8273, + "carl": 9482, + "carla": 25552, + "carleton": 46496, + "carlin": 47559, + "carlisle": 23276, + "carlo": 17861, + "carlo": 15266, + "carlos": 9538, + "carlow": 44745, + "carls": 39635, + "carlson": 24114, + "carlton": 18934, + "carly": 23166, + "carly": 22689, + "carlyle": 46555, + "carmel": 30757, + "carmel": 25601, + "carmen": 41427, + "carmen": 18834, + "carmichael": 41657, + "carn": 21597, + "carnage": 31385, + "carnation": 44577, + "carnaval": 47238, + "carne": 17053, + "carne": 42885, + "carnegie": 25287, + "carney": 34194, + "carni": 8438, + "carnival": 36708, + "carnival": 10577, + "caro": 30317, + "caro": 29344, + "carol": 4242, + "carol": 11489, + "carole": 31955, + "carolin": 26418, + "carolina": 7027, + "caroline": 31064, + "caroline": 12641, + "carols": 33269, + "carolyn": 25825, + "carou": 32224, + "carousel": 36665, + "carp": 26085, + "carpen": 15584, + "carpenter": 18475, + "carpet": 6922, + "carpets": 34612, + "carr": 26951, + "carr": 17136, + "carra": 32332, + "carre": 31114, + "carrera": 32952, + "carri": 4739, + "carriage": 47885, + "carriage": 21087, + "carrick": 44052, + "carrie": 30334, + "carrie": 15848, + "carried": 12960, + "carrier": 12308, + "carriers": 26865, + "carries": 17982, + "carrieunderwood": 47338, + "carrington": 48759, + "carroll": 41911, + "carroll": 14893, + "carrot": 15435, + "carrots": 19299, + "carry": 31863, + "carry": 6998, + "carrying": 9920, + "cars": 3346, + "carsforsale": 45222, + "carson": 41766, + "carson": 13171, + "cart": 27705, + "cart": 13065, + "cartag": 45042, + "cartagena": 47157, + "carte": 44949, + "cartel": 30529, + "carter": 27330, + "carter": 7260, + "cartier": 32951, + "carto": 5487, + "carton": 41812, + "cartoon": 33082, + "cartoon": 7651, + "cartoonist": 30793, + "cartoons": 17673, + "cartri": 47084, + "cartridge": 29432, + "cartridges": 49249, + "carts": 27581, + "cartunesapp": 32888, + "caruso": 45192, + "carve": 40152, + "carved": 15127, + "carver": 28850, + "carving": 19428, + "carvings": 48123, + "cary": 22844, + "cas": 1671, + "cas": 13831, + "casa": 14643, + "casablanc": 36572, + "casablanca": 41950, + "casc": 36714, + "casca": 43296, + "cascade": 29065, + "cascades": 46454, + "case": 17698, + "case": 2068, + "cases": 6888, + "casey": 24899, + "casey": 12836, + "cash": 11050, + "cash": 5131, + "cashback": 36368, + "cashe": 32233, + "cashew": 39531, + "cashi": 29517, + "cashier": 34547, + "cashmere": 34566, + "casi": 38350, + "casino": 10473, + "casio": 32261, + "cask": 26299, + "casm": 35198, + "casper": 35892, + "cass": 22556, + "cassandra": 35289, + "casser": 31093, + "casserole": 36045, + "cassette": 19717, + "cassi": 14942, + "cassidy": 21757, + "cassie": 29323, + "cassini": 46554, + "cast": 2509, + "cast": 1970, + "caste": 32693, + "casted": 33838, + "castel": 43306, + "castell": 31792, + "caster": 32101, + "caster": 8449, + "casters": 29721, + "castic": 47737, + "castillo": 30813, + "casting": 7087, + "castle": 12496, + "castle": 3540, + "castles": 24766, + "castro": 16950, + "casts": 10595, + "casu": 15345, + "casual": 10129, + "casually": 18840, + "casualties": 30244, + "casualty": 31222, + "cat": 1481, + "cat": 2368, + "cata": 42279, + "catal": 12792, + "catalan": 30532, + "catalina": 36576, + "catalo": 34740, + "catalog": 20036, + "catalogue": 20985, + "catalonia": 27039, + "catalunya": 44132, + "cataly": 15894, + "catalyst": 25387, + "catan": 45893, + "catap": 39514, + "catar": 35801, + "catastro": 22736, + "catastrophe": 41422, + "catastrophic": 34448, + "catch": 18901, + "catch": 3042, + "catcher": 15965, + "catchers": 39060, + "catches": 17213, + "catching": 8617, + "catchy": 37114, + "catday": 32243, + "cate": 6357, + "cate": 24510, + "cated": 31823, + "categor": 17006, + "categori": 40117, + "categories": 19971, + "category": 9432, + "cater": 16634, + "cater": 38101, + "catering": 16697, + "caterpillar": 27111, + "catfish": 26077, + "cath": 9196, + "cath": 30811, + "cathar": 43784, + "cathe": 7174, + "cathedr": 46370, + "cathedral": 7865, + "catherine": 35035, + "catherine": 12339, + "catho": 7595, + "cathol": 16315, + "catholic": 20382, + "catholic": 7757, + "catholics": 36808, + "cathy": 40326, + "cathy": 22731, + "cation": 21367, + "cato": 33558, + "cats": 38800, + "cats": 3989, + "catsofinstagram": 39901, + "catsoftwitter": 17273, + "catt": 37339, + "cattle": 48799, + "cattle": 13644, + "caturday": 20892, + "catwalk": 36565, + "catwoman": 47251, + "cau": 1121, + "cau": 45529, + "caucus": 18847, + "caught": 4520, + "caul": 23460, + "cauley": 41682, + "caulfield": 44906, + "cauli": 20123, + "cauliflower": 23802, + "cause": 18982, + "cause": 1394, + "caused": 8940, + "causes": 9775, + "causeway": 35034, + "causing": 10779, + "caution": 15656, + "cautious": 36579, + "cav": 4942, + "cav": 45935, + "cava": 48682, + "caval": 24537, + "cavali": 20783, + "cavalier": 44488, + "cavaliers": 30194, + "cavalry": 32467, + "cave": 25441, + "cave": 9654, + "cavendish": 42945, + "caver": 41487, + "caves": 22096, + "cavi": 27360, + "caviar": 31228, + "cavill": 40492, + "cavity": 43156, + "cavs": 16800, + "caw": 38405, + "caw": 43804, + "cawx": 26739, + "cay": 11876, + "cay": 37399, + "cayenne": 43650, + "cayman": 33737, + "caz": 48451, + "cb": 4034, + "cb": 8830, + "cba": 38472, + "cbb": 31487, + "cbc": 14096, + "cbc": 14523, + "cbd": 13176, + "cbe": 43639, + "cbi": 30875, + "cbj": 35608, + "cbn": 26579, + "cbp": 46723, + "cbr": 28762, + "cbs": 16788, + "cbs": 8009, + "cc": 2976, + "cc": 2021, + "cca": 17987, + "ccc": 21856, + "ccd": 48556, + "ccg": 37755, + "cch": 21789, + "cchini": 28467, + "cci": 32942, + "cci": 8196, + "ccl": 43773, + "ccm": 40435, + "cco": 28786, + "ccot": 24950, + "ccp": 43045, + "ccs": 30400, + "cctv": 23097, + "ccu": 49023, + "cd": 4308, + "cd": 4480, + "cda": 45565, + "cdc": 41098, + "cdc": 25779, + "cdn": 8886, + "cdn": 26802, + "cdnpoli": 11645, + "cdo": 47187, + "cdp": 39624, + "cds": 20784, + "cdt": 18455, + "ce": 685, + "ce": 629, + "cea": 28355, + "cean": 34409, + "cean": 37295, + "cease": 32856, + "cease": 25499, + "ceasefire": 38291, + "cebu": 20146, + "cec": 29694, + "cec": 40029, + "cecil": 26987, + "cecil": 27169, + "cecilia": 35440, + "ced": 25634, + "ced": 2323, + "cedar": 24167, + "cedar": 13799, + "cedric": 36608, + "cee": 45966, + "cee": 15015, + "cees": 47914, + "ceil": 27275, + "ceiling": 12374, + "ceilings": 33770, + "cek": 45544, + "cel": 2269, + "cel": 7597, + "cele": 1314, + "celeb": 38862, + "celeb": 19393, + "celebr": 1372, + "celebrate": 31414, + "celebrate": 2694, + "celebrated": 9184, + "celebrates": 7564, + "celebrating": 3382, + "celebration": 4615, + "celebrations": 10825, + "celebratory": 34115, + "celebrities": 17071, + "celebrity": 23981, + "celebrity": 7320, + "celebs": 19803, + "celed": 25741, + "celer": 9621, + "celery": 30990, + "celeste": 29364, + "celesti": 29497, + "celestial": 32669, + "celi": 25567, + "celia": 44489, + "celine": 33644, + "cell": 9316, + "cell": 5533, + "cellar": 24282, + "cellars": 44976, + "cellence": 34687, + "cello": 23013, + "cellphone": 39029, + "cells": 8890, + "cellu": 16791, + "cellular": 23268, + "cels": 24021, + "celsius": 47057, + "celtic": 21897, + "celtic": 10523, + "celticfc": 38612, + "celtics": 16226, + "cem": 41435, + "ceme": 10517, + "cement": 4369, + "cements": 19448, + "cemetery": 11660, + "cen": 1306, + "cen": 30106, + "cena": 21591, + "cence": 24410, + "cency": 41259, + "cene": 30038, + "censor": 24230, + "censor": 44709, + "censored": 30951, + "censorship": 27284, + "census": 23677, + "cent": 1784, + "cent": 3662, + "centenary": 22422, + "centennial": 20895, + "center": 16651, + "center": 2119, + "centered": 24584, + "centers": 14494, + "centi": 48889, + "centime": 48687, + "centr": 2370, + "central": 13448, + "central": 3339, + "centre": 26310, + "centre": 2916, + "centred": 47925, + "centres": 19354, + "centri": 30872, + "centric": 19297, + "centro": 37178, + "cents": 11934, + "centu": 16818, + "centuri": 36816, + "centuries": 19014, + "century": 26134, + "century": 4275, + "ceo": 46340, + "ceo": 3559, + "ceos": 28332, + "cep": 2632, + "cep": 48714, + "ceph": 44343, + "cept": 3678, + "ception": 12346, + "cer": 1364, + "cer": 1925, + "cera": 34608, + "ceram": 10677, + "ceramic": 15112, + "ceramics": 22438, + "cere": 3984, + "cere": 22085, + "cereal": 17581, + "cereals": 48618, + "cerebral": 39073, + "ceremon": 15796, + "ceremonial": 33281, + "ceremonies": 21547, + "ceremony": 5193, + "cern": 44851, + "cers": 13638, + "cert": 27522, + "certain": 8526, + "certain": 7883, + "certainly": 10883, + "certainty": 20054, + "certi": 4888, + "certific": 9443, + "certificate": 11786, + "certificates": 25281, + "certification": 14735, + "certified": 9288, + "cerv": 25738, + "cervical": 35953, + "ces": 28715, + "ces": 1604, + "cesar": 37025, + "cesar": 28603, + "cess": 2314, + "cess": 1554, + "cessna": 36596, + "cest": 27245, + "cester": 15769, + "cester": 12718, + "cet": 14960, + "cett": 46708, + "ceu": 37457, + "cevic": 48369, + "cey": 20971, + "cf": 10189, + "cf": 11171, + "cfa": 34521, + "cfb": 32931, + "cfc": 11577, + "cfd": 46171, + "cfl": 46320, + "cfl": 22332, + "cfo": 26937, + "cfp": 40756, + "cfr": 44033, + "cfs": 32835, + "cg": 27118, + "cg": 14740, + "cgc": 38775, + "cgi": 30520, + "ch": 540, + "ch": 634, + "cha": 1587, + "cha": 4541, + "chab": 26670, + "chad": 13095, + "chad": 12923, + "chae": 9460, + "chaf": 38123, + "chag": 27989, + "chai": 31590, + "chai": 18919, + "chain": 13898, + "chain": 3946, + "chained": 34402, + "chains": 14438, + "chainsaw": 37617, + "chainz": 39687, + "chair": 4728, + "chair": 4269, + "chaired": 31664, + "chairing": 42205, + "chairman": 6901, + "chairperson": 31584, + "chairs": 12033, + "chak": 13702, + "chak": 41713, + "chakra": 38304, + "chakra": 33241, + "chal": 7397, + "chal": 30809, + "chale": 38099, + "chalet": 37907, + "chalk": 31362, + "chalk": 17846, + "chall": 2073, + "challeng": 4138, + "challenge": 29462, + "challenge": 2836, + "challenged": 17380, + "challenger": 18228, + "challengers": 46404, + "challenges": 6280, + "challenging": 11754, + "chalmers": 47955, + "cham": 1290, + "cham": 19951, + "chamber": 18983, + "chamber": 7642, + "chamberlain": 32756, + "chambers": 16501, + "chamele": 34759, + "chameleon": 41317, + "champ": 36813, + "champ": 6602, + "champag": 10283, + "champagne": 11007, + "champi": 1680, + "champion": 2643, + "champion": 3950, + "champions": 4227, + "championship": 3429, + "championships": 7047, + "championsleague": 27638, + "champs": 6240, + "chan": 1255, + "chan": 6704, + "chana": 48752, + "chanc": 13931, + "chance": 32940, + "chance": 2594, + "chancellor": 15886, + "chances": 10870, + "chand": 7126, + "chand": 41508, + "chandelier": 30570, + "chandi": 12482, + "chandigarh": 34106, + "chandler": 17595, + "chandra": 27082, + "chandra": 25348, + "chanel": 16951, + "chang": 2233, + "chang": 16461, + "change": 11608, + "change": 1799, + "changeable": 41335, + "changed": 4907, + "changer": 18406, + "changers": 35185, + "changes": 4938, + "changing": 40384, + "changing": 5621, + "changmin": 47410, + "chann": 8804, + "channel": 25837, + "channel": 3847, + "channeling": 28197, + "channels": 13961, + "channing": 37417, + "chant": 18165, + "chant": 13521, + "chanting": 32111, + "chants": 22723, + "chanyeol": 18805, + "chao": 31815, + "chaos": 10853, + "chaotic": 33501, + "chap": 3825, + "chap": 21939, + "chapel": 40859, + "chapel": 10137, + "chaplain": 38348, + "chaplin": 32545, + "chapman": 17968, + "chapp": 20634, + "chaps": 36823, + "chapter": 6014, + "chapters": 22936, + "char": 1054, + "char": 16017, + "chara": 35668, + "charac": 2792, + "character": 10997, + "character": 4009, + "characterdesign": 38149, + "characteri": 20920, + "characteristic": 44747, + "characteristics": 26037, + "characters": 6564, + "charan": 31851, + "charcoal": 19268, + "chard": 17524, + "chardon": 26599, + "chardonnay": 28161, + "charge": 25032, + "charge": 5948, + "chargeable": 35664, + "charged": 7916, + "charger": 13090, + "chargers": 17352, + "charges": 8962, + "charging": 12514, + "chariot": 38811, + "charis": 24449, + "charisma": 45041, + "charismatic": 37205, + "charitable": 23256, + "charities": 18493, + "charity": 20008, + "charity": 4607, + "charitytuesday": 42794, + "charl": 47736, + "charle": 10217, + "charles": 27983, + "charles": 5127, + "charleston": 15478, + "charley": 38027, + "charli": 21784, + "charli": 49392, + "charlie": 16764, + "charlie": 6393, + "charlotte": 18445, + "charlotte": 7871, + "charlottesville": 32027, + "charlton": 27048, + "charm": 10876, + "charmed": 39790, + "charming": 12177, + "charms": 21944, + "charred": 44085, + "chart": 42685, + "chart": 5053, + "charted": 27939, + "charter": 42345, + "charter": 13569, + "chartered": 31298, + "charters": 46626, + "charting": 39841, + "charts": 10728, + "chas": 10717, + "chas": 29838, + "chase": 21503, + "chase": 3859, + "chased": 30342, + "chaser": 29560, + "chasers": 34158, + "chases": 45011, + "chasing": 46909, + "chasing": 13376, + "chassis": 29188, + "chast": 42176, + "chasu": 41352, + "chat": 5355, + "chat": 2402, + "chatbots": 43994, + "chate": 30377, + "chateau": 44582, + "chateau": 23520, + "chath": 46849, + "chatham": 32030, + "chats": 13263, + "chatt": 21618, + "chattanoo": 28009, + "chattanooga": 29866, + "chatted": 34124, + "chatter": 33473, + "chatter": 41103, + "chatting": 12401, + "chatur": 33839, + "chau": 11263, + "chau": 37536, + "chauffe": 45440, + "chauhan": 46663, + "chav": 28997, + "chavez": 27480, + "chaw": 39639, + "chay": 45317, + "chaz": 47815, + "chc": 36233, + "chd": 41645, + "che": 983, + "che": 3842, + "chea": 39580, + "chead": 48358, + "cheap": 27036, + "cheap": 8678, + "cheape": 26164, + "cheaper": 17776, + "cheapest": 26640, + "cheat": 18180, + "cheated": 34285, + "cheating": 19722, + "chec": 1113, + "check": 7672, + "check": 1217, + "checked": 10387, + "checker": 45883, + "checkers": 48181, + "checking": 7441, + "checklist": 26989, + "checkout": 13101, + "checkpoint": 27531, + "checks": 13737, + "ched": 11341, + "ched": 2146, + "cheddar": 20551, + "chee": 5326, + "chee": 20944, + "cheek": 40000, + "cheek": 21227, + "cheeks": 23019, + "cheeky": 15068, + "cheer": 9733, + "cheer": 6918, + "cheered": 38111, + "cheerful": 28882, + "cheering": 14289, + "cheerleader": 29072, + "cheerleaders": 22343, + "cheerleading": 36366, + "cheers": 6562, + "chees": 15182, + "cheese": 10738, + "cheese": 4108, + "cheeseburger": 41200, + "cheesecake": 17803, + "cheeses": 36076, + "cheesy": 22093, + "cheetah": 27431, + "chef": 12137, + "chef": 4895, + "chefs": 14486, + "chek": 43745, + "chel": 3084, + "chel": 25970, + "chell": 46854, + "chelle": 30141, + "chelms": 34936, + "chelmsford": 39890, + "chelse": 19071, + "chelsea": 6031, + "chelseafc": 25927, + "chelten": 18889, + "cheltenham": 21589, + "chem": 5667, + "chem": 13698, + "chemi": 7179, + "chemical": 39376, + "chemical": 9208, + "chemicals": 17426, + "chemist": 23138, + "chemistry": 8841, + "chemo": 33095, + "chemo": 36348, + "chemotherapy": 41412, + "chemtrails": 46015, + "chen": 5907, + "chen": 8983, + "cheney": 43522, + "cheng": 32512, + "cheng": 30190, + "chenko": 29073, + "chennai": 28948, + "chennai": 12791, + "cheon": 11498, + "cheque": 28168, + "cher": 3597, + "cher": 3466, + "cheri": 26471, + "cherish": 20053, + "cherished": 42325, + "cherno": 35376, + "chernobyl": 40554, + "chero": 19844, + "cherokee": 22860, + "cherries": 27248, + "cherry": 21470, + "cherry": 7325, + "chers": 5789, + "chery": 38478, + "cheryl": 37784, + "cheryl": 20600, + "ches": 18346, + "ches": 1910, + "chesa": 28349, + "chesapeake": 32909, + "cheshire": 17130, + "chesney": 48747, + "chess": 27170, + "chess": 8397, + "chest": 18217, + "chest": 10563, + "chester": 10466, + "chester": 3343, + "chesterfield": 32975, + "chestnut": 21834, + "chet": 9663, + "chett": 24695, + "chev": 7152, + "chev": 41145, + "chevro": 12850, + "chevrolet": 13240, + "chevron": 33792, + "chevy": 16581, + "chew": 32645, + "chew": 22642, + "chewan": 23689, + "chewbacca": 49355, + "chewing": 31486, + "chewy": 42940, + "chey": 26968, + "chey": 31208, + "cheyenne": 34805, + "chez": 49183, + "chez": 10556, + "chf": 33021, + "chfield": 41619, + "chhat": 34127, + "chhattisgarh": 44246, + "chi": 1337, + "chi": 4039, + "chia": 19147, + "chiang": 33764, + "chibi": 22306, + "chic": 2627, + "chic": 9091, + "chica": 44190, + "chicag": 16778, + "chicago": 15038, + "chicago": 3530, + "chicagof": 40638, + "chicagofire": 46576, + "chicas": 40664, + "chichester": 43823, + "chick": 3170, + "chick": 11238, + "chicken": 26322, + "chicken": 3717, + "chickens": 21658, + "chickpea": 48109, + "chicks": 17810, + "chico": 30379, + "chie": 40046, + "chie": 12388, + "chief": 16830, + "chief": 3455, + "chiefs": 11419, + "chiev": 47761, + "chiff": 27407, + "chiffon": 31817, + "chig": 42952, + "chihu": 22857, + "chihuahu": 25437, + "chihuahua": 30181, + "chik": 45455, + "chil": 1333, + "child": 4392, + "child": 2913, + "childcare": 31133, + "childhood": 34772, + "childhood": 7551, + "childish": 31939, + "childre": 2135, + "children": 11101, + "children": 2153, + "childrens": 31551, + "childrens": 21553, + "childs": 39521, + "chile": 10022, + "chilean": 33186, + "chili": 13033, + "chill": 6498, + "chill": 6382, + "chilled": 23540, + "chillen": 45160, + "chilli": 26787, + "chilli": 17067, + "chillin": 10347, + "chilling": 10179, + "chillout": 39842, + "chills": 25460, + "chilly": 14450, + "chim": 10543, + "chimney": 26821, + "chimp": 44374, + "chin": 6555, + "chin": 8979, + "china": 38943, + "china": 2817, + "chinatown": 28582, + "chine": 4013, + "chinese": 30568, + "chinese": 4271, + "ching": 34621, + "ching": 1439, + "chino": 47181, + "chino": 27440, + "chinook": 41577, + "chinson": 33786, + "chio": 19650, + "chip": 19271, + "chip": 8730, + "chipmun": 46384, + "chipot": 17702, + "chipotle": 19284, + "chipp": 39854, + "chippe": 46541, + "chipped": 39892, + "chipping": 40323, + "chips": 8855, + "chir": 15564, + "chiro": 23413, + "chiroprac": 25987, + "chiropractic": 34437, + "chis": 19920, + "chistan": 20523, + "chiswick": 47290, + "chit": 13515, + "chit": 45626, + "chita": 49184, + "chitec": 39862, + "chive": 29222, + "chives": 34921, + "chk": 47424, + "chl": 38592, + "chley": 47748, + "chlo": 10374, + "chloe": 39966, + "chloe": 13992, + "chlor": 23135, + "chman": 35835, + "chment": 20848, + "chner": 48277, + "cho": 1327, + "cho": 5150, + "choa": 43077, + "choc": 32772, + "choc": 21983, + "choco": 46285, + "choco": 32692, + "chocol": 3443, + "chocolat": 44631, + "chocolate": 29389, + "chocolate": 3820, + "chocolates": 24120, + "choi": 23749, + "choic": 35606, + "choice": 23857, + "choice": 4051, + "choices": 11016, + "choir": 9214, + "choirs": 43277, + "choke": 30231, + "choked": 43521, + "choker": 39642, + "choking": 39993, + "chol": 19802, + "cholera": 45999, + "cholester": 26861, + "cholesterol": 27982, + "chom": 25151, + "chon": 20416, + "chon": 21601, + "chondri": 37379, + "chong": 26220, + "choo": 3869, + "choo": 24437, + "chool": 29578, + "chools": 41958, + "choose": 22756, + "choose": 5073, + "chooses": 29923, + "choosing": 13475, + "chop": 10458, + "chop": 16663, + "chopin": 42256, + "chopped": 22580, + "chopper": 24011, + "chopping": 35375, + "chopra": 24258, + "chops": 26321, + "chor": 7567, + "chor": 47795, + "choral": 26684, + "chord": 33005, + "chords": 36152, + "choreo": 17443, + "choreographer": 35952, + "choreography": 32749, + "chores": 40483, + "chori": 25718, + "chorizo": 30802, + "chorus": 20869, + "chos": 26559, + "chose": 11090, + "chosen": 10044, + "chou": 16960, + "chou": 42917, + "choudhary": 45503, + "chow": 20257, + "chow": 21657, + "chowder": 37886, + "chp": 35896, + "chr": 36918, + "chri": 1135, + "chris": 9907, + "chris": 2978, + "chrisbrown": 41035, + "chriss": 46745, + "chrissy": 44762, + "chrissy": 40485, + "christ": 1403, + "christ": 6703, + "christchurch": 27100, + "christen": 31956, + "christensen": 42226, + "christi": 3328, + "christi": 33213, + "christian": 11792, + "christian": 4729, + "christianity": 20000, + "christians": 14842, + "christie": 16084, + "christin": 30189, + "christina": 15925, + "christine": 42610, + "christine": 14712, + "christma": 12039, + "christmas": 18174, + "christmas": 1677, + "christmaseve": 44381, + "christmass": 44873, + "christop": 7917, + "christoph": 47844, + "christophe": 45486, + "christopher": 33349, + "christopher": 9630, + "christy": 28331, + "chro": 13207, + "chromatic": 44207, + "chrome": 24843, + "chrome": 9529, + "chromo": 35809, + "chron": 5577, + "chron": 39781, + "chronic": 10115, + "chronic": 13677, + "chronicle": 20034, + "chronicles": 18905, + "chrono": 29387, + "chronograph": 38397, + "chry": 13508, + "chrysler": 20078, + "chs": 40277, + "chs": 8391, + "chsnews": 44919, + "cht": 11384, + "chter": 47811, + "chu": 3799, + "chu": 13622, + "chubby": 29109, + "chuck": 13211, + "chuck": 9894, + "chuckle": 35733, + "chucky": 42026, + "chuffed": 27233, + "chuk": 25878, + "chuk": 27221, + "chul": 33001, + "chum": 46869, + "chum": 41767, + "chun": 14693, + "chun": 25391, + "chung": 28418, + "chunk": 30275, + "chunks": 45538, + "chunky": 27978, + "chups": 46331, + "chur": 2309, + "church": 14956, + "church": 2735, + "churches": 15539, + "churchill": 17527, + "chus": 36246, + "chut": 28788, + "chutney": 36261, + "chy": 15131, + "chy": 8096, + "chyna": 43398, + "châ": 48669, + "ci": 698, + "ci": 5798, + "cia": 4019, + "cial": 1143, + "cian": 32323, + "ciao": 37677, + "ciara": 31369, + "cible": 28873, + "cic": 14539, + "cic": 21517, + "cid": 27359, + "cide": 34178, + "cider": 13547, + "cides": 41326, + "cie": 19730, + "cier": 24067, + "cies": 6785, + "cif": 35698, + "cigar": 26031, + "cigar": 16525, + "cigare": 13044, + "cigarette": 18548, + "cigarettes": 22750, + "cigars": 20750, + "cii": 42408, + "cil": 9217, + "cil": 2998, + "cilan": 33998, + "cilantro": 34568, + "cili": 18977, + "ciliation": 25294, + "cim": 30021, + "cin": 2396, + "cin": 25367, + "cina": 39467, + "cincin": 13291, + "cincinnati": 14197, + "cinco": 25131, + "cincode": 40930, + "cincodemayo": 42542, + "cincy": 30015, + "cincy": 30286, + "cinde": 20660, + "cinderella": 21515, + "cindy": 34439, + "cindy": 18532, + "cine": 4015, + "cine": 27451, + "cinema": 38251, + "cinema": 6443, + "cinemas": 14845, + "cinematic": 25602, + "cinemato": 21919, + "cinematographer": 39059, + "cinematography": 33802, + "ciner": 39882, + "cing": 4014, + "cini": 25699, + "cinnam": 12768, + "cinnamon": 13460, + "cino": 18616, + "cio": 44584, + "cio": 9954, + "cion": 22024, + "ciones": 37155, + "cious": 38466, + "cip": 32884, + "cir": 2459, + "cir": 41135, + "circa": 10411, + "circle": 33574, + "circle": 7117, + "circles": 19411, + "circling": 46036, + "circu": 5143, + "circuit": 35583, + "circuit": 9801, + "circuits": 33260, + "circul": 16618, + "circular": 19733, + "circulare": 39525, + "circulareconomy": 39878, + "circulated": 46258, + "circulating": 42980, + "circulation": 27880, + "circum": 13406, + "circumstances": 18786, + "circus": 11833, + "cirque": 36049, + "cis": 9459, + "cis": 23513, + "cisco": 36689, + "cisco": 19290, + "cise": 19657, + "cisely": 33434, + "cision": 41957, + "cism": 24166, + "cist": 40906, + "cit": 4420, + "cit": 31294, + "citadel": 38036, + "citation": 33581, + "cite": 32641, + "cited": 25069, + "cites": 34490, + "citi": 4280, + "citi": 30270, + "cities": 5441, + "citing": 29088, + "citiz": 5816, + "citizen": 11720, + "citizen": 9814, + "citizens": 7949, + "citizenship": 17386, + "cito": 42636, + "citro": 27941, + "citroen": 35805, + "citrus": 17379, + "city": 5002, + "city": 1305, + "cityfc": 28751, + "cityo": 25709, + "cityof": 11595, + "cityscape": 40808, + "ciu": 39693, + "cius": 42559, + "civ": 40039, + "civic": 32240, + "civic": 11888, + "civil": 6923, + "civil": 6450, + "civilian": 21187, + "civilians": 18076, + "civilization": 22503, + "civilwar": 34524, + "ción": 44700, + "cj": 15238, + "cj": 15205, + "ck": 916, + "ck": 868, + "cke": 25224, + "cke": 40989, + "cked": 3441, + "cken": 25566, + "cker": 15509, + "cker": 4744, + "ckers": 37073, + "cket": 5525, + "ckett": 33899, + "ckey": 15029, + "ckey": 3657, + "cki": 36916, + "cki": 41055, + "cking": 4805, + "cko": 28818, + "cks": 2031, + "cky": 26229, + "cky": 3083, + "cl": 969, + "cl": 6482, + "cla": 940, + "cla": 20636, + "clad": 31606, + "cladding": 46411, + "clai": 29459, + "claim": 4290, + "claim": 6607, + "claimed": 9010, + "claiming": 15286, + "claims": 6852, + "clair": 31441, + "clair": 14039, + "claire": 20410, + "claire": 10460, + "clam": 13588, + "clam": 32598, + "clamation": 21793, + "clamp": 41501, + "clams": 38849, + "clan": 29252, + "clan": 14114, + "clancy": 37227, + "clans": 38279, + "clap": 30037, + "clap": 25546, + "clapham": 43619, + "clapton": 37683, + "clar": 3617, + "clara": 19468, + "clare": 18948, + "clare": 15927, + "claremont": 47789, + "clarence": 29320, + "clari": 15175, + "clarify": 37004, + "clarinet": 41178, + "clarity": 21323, + "clark": 13340, + "clark": 7521, + "clarke": 11548, + "clarkson": 25706, + "clas": 32003, + "clash": 38367, + "clash": 9359, + "clashes": 25193, + "clasico": 43567, + "class": 2876, + "class": 1874, + "classes": 6919, + "classi": 2507, + "classic": 9353, + "classic": 2713, + "classical": 22179, + "classical": 11355, + "classicalmusic": 27806, + "classiccar": 46906, + "classiccars": 21064, + "classics": 10634, + "classification": 26612, + "classified": 22056, + "classmate": 37090, + "classmates": 30062, + "classof": 25345, + "classroom": 9001, + "classrooms": 25768, + "classy": 11615, + "clau": 7526, + "claude": 17461, + "claudi": 39439, + "claudia": 21893, + "claudio": 31230, + "claus": 23317, + "clause": 26151, + "clave": 24111, + "claw": 49230, + "claw": 19106, + "claws": 29161, + "clay": 10402, + "clay": 8823, + "clays": 26128, + "clayton": 46445, + "clayton": 19413, + "clc": 31380, + "cle": 1321, + "cle": 2537, + "clean": 3572, + "clean": 3772, + "cleaned": 17468, + "cleanenergy": 43538, + "cleaner": 15619, + "cleaners": 33258, + "cleaning": 7210, + "cleanliness": 47886, + "cleans": 40827, + "cleanse": 28717, + "cleanser": 44170, + "cleansing": 25931, + "cleanup": 22353, + "clear": 4631, + "clear": 3143, + "clearance": 17959, + "cleared": 14880, + "clearer": 37031, + "clearing": 15481, + "clearly": 7767, + "clears": 29092, + "clearwater": 32124, + "cleary": 44342, + "cleats": 33486, + "cleavage": 44165, + "cled": 12827, + "clegg": 42915, + "clemens": 45896, + "clement": 22592, + "clement": 24714, + "clemente": 42461, + "clementine": 47112, + "clements": 49175, + "clemson": 38170, + "clemson": 19537, + "clen": 35547, + "cleo": 40344, + "cleop": 36287, + "cleopatra": 41212, + "cler": 11828, + "clergy": 42635, + "cleric": 43748, + "clerk": 22230, + "clermont": 47529, + "cles": 8077, + "cleve": 37599, + "clevel": 7701, + "cleveland": 30716, + "cleveland": 8430, + "clever": 30977, + "clever": 13385, + "clg": 47546, + "cli": 1503, + "clich": 44407, + "click": 16676, + "click": 3585, + "clicked": 29015, + "clicking": 26542, + "clicks": 31250, + "client": 48528, + "client": 7467, + "clients": 8114, + "clif": 13182, + "cliff": 23827, + "cliff": 10625, + "cliffe": 15170, + "clifford": 24226, + "cliffs": 20953, + "clifton": 23878, + "climat": 37283, + "climate": 7854, + "climate": 4589, + "climateaction": 31622, + "climatechange": 11055, + "climates": 46022, + "climax": 37033, + "climb": 7421, + "climb": 10649, + "climbed": 22528, + "climber": 36910, + "climbers": 47648, + "climbing": 9877, + "climbs": 29098, + "clin": 2879, + "clinch": 30404, + "clinched": 44064, + "cline": 37460, + "cling": 37068, + "cling": 4760, + "clinic": 7926, + "clinical": 35133, + "clinical": 9148, + "clinicians": 45866, + "clinics": 23330, + "clint": 37542, + "clint": 21160, + "clinton": 34403, + "clinton": 5820, + "clio": 46889, + "clip": 39712, + "clip": 9289, + "clipped": 45524, + "clipper": 42245, + "clippers": 23319, + "clipping": 47484, + "clips": 16594, + "clique": 34983, + "clive": 36086, + "clive": 21509, + "cll": 46091, + "cllr": 45743, + "cllr": 23034, + "clo": 1194, + "cloak": 36528, + "clock": 19878, + "clock": 6716, + "clocked": 49049, + "clocks": 25895, + "clockwise": 46150, + "clockwork": 42297, + "clon": 24477, + "clone": 22854, + "clones": 48047, + "clooney": 33161, + "clos": 48821, + "close": 10603, + "close": 2660, + "closed": 4552, + "closely": 13478, + "closer": 6377, + "closes": 11354, + "closest": 14975, + "closet": 14221, + "closeup": 35439, + "closing": 7101, + "closure": 13249, + "closures": 22923, + "cloth": 14559, + "clothes": 7080, + "clothing": 7425, + "clou": 4069, + "cloud": 12965, + "cloud": 3887, + "cloudcomputing": 41390, + "clouds": 6244, + "cloudy": 13106, + "clough": 42909, + "clover": 39574, + "clover": 22812, + "clow": 18386, + "clown": 15329, + "clowns": 30820, + "cls": 44251, + "clt": 29651, + "clt": 24236, + "clu": 996, + "club": 9642, + "club": 1736, + "clubbing": 48128, + "clubhouse": 26553, + "clubs": 9437, + "clue": 14994, + "clueless": 35350, + "clues": 23764, + "clusive": 41362, + "cluster": 15595, + "clusters": 33217, + "clut": 28507, + "clutch": 13953, + "clutter": 40804, + "cly": 12037, + "clyde": 39557, + "clyde": 18469, + "cm": 10190, + "cm": 3741, + "cma": 30554, + "cma": 31388, + "cmc": 45839, + "cmdr": 48250, + "cme": 34946, + "cmo": 24589, + "cmon": 42904, + "cmp": 46355, + "cms": 22520, + "cmt": 42727, + "cmu": 43046, + "cn": 3886, + "cn": 16200, + "cna": 48287, + "cnbc": 41242, + "cnbc": 24371, + "cnblue": 36018, + "cnc": 20571, + "cnet": 47487, + "cnews": 24319, + "cng": 41496, + "cnn": 22405, + "cnn": 8259, + "cns": 46095, + "cny": 31614, + "co": 622, + "co": 1320, + "coa": 29167, + "coach": 3275, + "coach": 2312, + "coached": 30228, + "coachella": 20222, + "coaches": 6924, + "coaching": 7766, + "coal": 10227, + "coal": 7919, + "coalition": 12920, + "coast": 6398, + "coast": 3720, + "coastal": 38246, + "coastal": 10852, + "coaster": 15944, + "coasters": 31548, + "coastguard": 40601, + "coastline": 27959, + "coasts": 42225, + "coat": 28869, + "coat": 7356, + "coated": 23401, + "coates": 36899, + "coating": 25369, + "coatings": 48706, + "coats": 18075, + "cob": 20140, + "cob": 32863, + "cobain": 36866, + "cobalt": 30896, + "cobb": 22719, + "cobble": 47894, + "cobra": 21574, + "coc": 23036, + "coc": 39498, + "coca": 21197, + "cocac": 26393, + "cocacola": 31248, + "cocaine": 20534, + "coch": 18599, + "cochran": 48798, + "cochrane": 41752, + "coco": 11850, + "coco": 13316, + "cocoa": 18074, + "cocon": 8597, + "coconut": 9581, + "cod": 16132, + "cod": 11915, + "code": 11582, + "code": 3217, + "coded": 33703, + "coden": 43914, + "coder": 41561, + "codes": 14566, + "codi": 39711, + "coding": 12647, + "cody": 23222, + "cody": 12666, + "coe": 15386, + "coed": 41028, + "coel": 45633, + "coer": 41198, + "coeur": 44986, + "coffe": 2255, + "coffee": 12898, + "coffee": 2453, + "coffees": 41184, + "coffey": 48066, + "cofficial": 18757, + "coffin": 29907, + "cog": 26362, + "cog": 35960, + "cogn": 12210, + "cognac": 44361, + "cognition": 46825, + "cognitive": 16584, + "cohe": 20669, + "cohen": 13381, + "coherent": 48450, + "cohort": 22782, + "coil": 25307, + "coim": 41528, + "coin": 14651, + "coin": 4170, + "coinci": 14015, + "coincidence": 19807, + "coins": 10530, + "coke": 39602, + "coke": 14035, + "col": 754, + "col": 9371, + "cola": 15444, + "colbert": 31647, + "colby": 32068, + "colchester": 31715, + "cold": 11146, + "cold": 3153, + "colder": 23859, + "coldest": 31438, + "coldplay": 27770, + "cole": 9305, + "cole": 8166, + "coleman": 15774, + "coles": 40265, + "coles": 30398, + "coli": 18877, + "coli": 15910, + "colin": 20989, + "colin": 10238, + "coliseum": 21836, + "coll": 25982, + "coll": 23898, + "colla": 2929, + "collab": 14013, + "collabor": 4437, + "collaborate": 21271, + "collaborated": 42265, + "collaborating": 25545, + "collaboration": 6642, + "collaborations": 36520, + "collaborative": 15841, + "collaborator": 48186, + "collaborators": 45901, + "collage": 11258, + "collagen": 36120, + "collap": 16881, + "collapse": 16520, + "collapsed": 25037, + "collapses": 43601, + "collar": 39662, + "collar": 13497, + "collateral": 44512, + "colle": 1801, + "colleague": 13067, + "colleagues": 8203, + "collec": 1733, + "collect": 10186, + "collected": 11980, + "collecti": 18530, + "collectible": 25680, + "collectibles": 21519, + "collecting": 10325, + "collection": 2548, + "collections": 12760, + "collective": 10162, + "collectively": 40687, + "collector": 13522, + "collectors": 20540, + "collects": 31576, + "colleen": 31020, + "college": 13512, + "college": 2229, + "colleges": 17357, + "collegi": 16311, + "collegiate": 18068, + "colli": 8262, + "collide": 27214, + "collie": 30611, + "collier": 35748, + "collin": 24056, + "collin": 32116, + "colling": 32319, + "collingwood": 45873, + "collins": 8684, + "collision": 15407, + "collo": 25115, + "colloqui": 37243, + "colloquium": 46514, + "collu": 25658, + "collusion": 33864, + "colo": 7300, + "colo": 27288, + "cologne": 22216, + "cology": 19187, + "colom": 8987, + "colombia": 12901, + "colombian": 28701, + "colombo": 33207, + "colon": 8280, + "colon": 29050, + "colonel": 22674, + "coloni": 22667, + "colonial": 16530, + "colonialism": 43385, + "colonies": 38738, + "colony": 18767, + "color": 4036, + "color": 3140, + "colorado": 34580, + "colorado": 6742, + "colorec": 41171, + "colored": 11775, + "colorful": 11444, + "colori": 28764, + "coloring": 17696, + "colorized": 46730, + "colors": 5389, + "colorstv": 28195, + "colorway": 44576, + "colossal": 40258, + "colosse": 48142, + "colossus": 34022, + "colour": 10240, + "colour": 4769, + "coloured": 17111, + "colourful": 15562, + "colouring": 31803, + "colours": 7626, + "cols": 35726, + "colt": 19726, + "colton": 32249, + "coltrane": 42333, + "colts": 16135, + "colum": 4164, + "columb": 31043, + "columbi": 25947, + "columbia": 9410, + "columbus": 11273, + "column": 10593, + "columnist": 28958, + "columns": 29056, + "com": 610, + "com": 2464, + "coma": 19620, + "comb": 3587, + "comb": 16380, + "combat": 35083, + "combat": 9275, + "combating": 46121, + "combe": 14363, + "combin": 25112, + "combination": 11312, + "combinations": 34950, + "combine": 12919, + "combined": 10427, + "combines": 22991, + "combining": 23561, + "combo": 10155, + "combos": 48117, + "combs": 30694, + "combu": 35629, + "combustion": 44654, + "comcast": 30043, + "come": 4225, + "come": 891, + "comeback": 8234, + "comedian": 13848, + "comedians": 33758, + "comedic": 43360, + "comedy": 19346, + "comedy": 4749, + "comer": 42997, + "comer": 20916, + "comers": 34436, + "comes": 2091, + "comet": 21405, + "comets": 40636, + "comey": 22957, + "comfor": 6563, + "comfort": 44000, + "comfort": 7808, + "comfortable": 8652, + "comfortably": 30392, + "comforting": 33835, + "comforts": 42243, + "comfy": 15736, + "comi": 40781, + "comic": 7729, + "comic": 4962, + "comicart": 46018, + "comicbook": 46564, + "comicbooks": 22018, + "comiccon": 18379, + "comicon": 43820, + "comics": 4256, + "comin": 18164, + "coming": 14916, + "coming": 1171, + "comingsoon": 19894, + "comm": 965, + "comm": 11413, + "comman": 39780, + "command": 18391, + "command": 11350, + "commander": 11265, + "commanders": 41667, + "commanding": 36933, + "commandments": 43409, + "commando": 31361, + "commands": 38163, + "comme": 29692, + "commemor": 9495, + "commemorate": 21242, + "commemorates": 45149, + "commemorating": 28734, + "commemoration": 29288, + "commemorative": 24623, + "commen": 15795, + "commence": 25059, + "commenced": 43908, + "commencement": 21666, + "commences": 48551, + "commend": 37555, + "commended": 40702, + "comment": 20035, + "comment": 5761, + "commentary": 14146, + "commentator": 32016, + "commented": 28328, + "commenting": 37292, + "comments": 6606, + "commer": 4028, + "commerce": 8333, + "commerci": 15601, + "commercial": 31802, + "commercial": 6287, + "commercials": 30724, + "commish": 45399, + "commissi": 6000, + "commission": 5292, + "commissioned": 16565, + "commissioner": 10221, + "commissioners": 30702, + "commissioning": 29585, + "commissions": 20668, + "commit": 3041, + "commit": 11797, + "commitment": 7770, + "commitments": 32136, + "commits": 20241, + "committed": 7907, + "committee": 5636, + "committees": 40504, + "committing": 21937, + "commod": 9496, + "commodities": 30350, + "commodity": 29041, + "commodore": 31129, + "common": 8414, + "common": 4176, + "commonly": 20344, + "commons": 16653, + "commonwealth": 16569, + "comms": 18832, + "commu": 9561, + "commun": 1515, + "communal": 32809, + "communi": 16164, + "communic": 4784, + "communicate": 19809, + "communication": 7999, + "communications": 10052, + "communion": 28579, + "communism": 35387, + "communist": 18602, + "communities": 6361, + "community": 14784, + "community": 1927, + "commute": 15898, + "commuter": 27782, + "commuters": 30823, + "commuting": 43503, + "como": 16236, + "comp": 2561, + "comp": 11679, + "compac": 40014, + "compact": 13690, + "compan": 1995, + "companies": 5361, + "companion": 14963, + "companions": 37124, + "company": 2634, + "compar": 7580, + "comparable": 27092, + "comparative": 33388, + "compare": 13771, + "compared": 10544, + "compares": 25104, + "comparing": 20564, + "comparison": 14186, + "comparisons": 40870, + "compart": 30072, + "compartment": 40383, + "compass": 19438, + "compassion": 14463, + "compassionate": 30193, + "compati": 17295, + "compatibility": 41614, + "compatible": 21286, + "compe": 5254, + "compelled": 49375, + "compelling": 21766, + "compen": 42079, + "compens": 15172, + "compensation": 18663, + "compet": 2932, + "compete": 10038, + "competed": 27767, + "competen": 31853, + "competence": 31165, + "competency": 49293, + "competent": 28113, + "competes": 39826, + "competing": 13068, + "competit": 15892, + "competiti": 32581, + "competition": 3742, + "competitions": 23259, + "competitive": 10687, + "competitiveness": 43209, + "competitor": 26633, + "competitors": 23638, + "compilation": 20446, + "compiled": 34579, + "compla": 7428, + "complain": 19292, + "complained": 42029, + "complaining": 20812, + "complains": 46363, + "complaint": 20391, + "complaints": 20020, + "comple": 1730, + "complement": 36624, + "complementary": 48953, + "complete": 3263, + "completed": 5976, + "completely": 5989, + "completes": 19321, + "completing": 14949, + "completion": 15915, + "complex": 16099, + "complex": 6324, + "complexes": 47870, + "complexion": 47732, + "complexity": 24815, + "compli": 5270, + "compliance": 14658, + "compliant": 29893, + "complic": 11460, + "complicated": 16621, + "complications": 29936, + "compliment": 25116, + "complimentary": 20948, + "compliments": 25477, + "comply": 36281, + "component": 21284, + "components": 16816, + "compos": 7783, + "compose": 43659, + "composed": 19916, + "composer": 12104, + "composers": 33314, + "composing": 40412, + "composite": 21606, + "composites": 45395, + "composition": 17510, + "compositions": 44652, + "compost": 46002, + "compost": 33307, + "compound": 19980, + "compounds": 33991, + "compre": 8483, + "compreh": 42976, + "comprehen": 12050, + "comprehend": 48230, + "comprehensive": 13854, + "compress": 33353, + "compressed": 42359, + "compression": 25638, + "compressor": 39607, + "compri": 29445, + "compromise": 26611, + "compromised": 38576, + "compromising": 45436, + "comps": 48665, + "compton": 28364, + "compu": 11639, + "compul": 25869, + "compulsory": 39345, + "computing": 12732, + "comra": 25553, + "comrade": 30844, + "comrades": 29282, + "coms": 30493, + "con": 616, + "con": 2457, + "cona": 30605, + "conan": 24750, + "conce": 9145, + "concealed": 35419, + "conceded": 37895, + "conceived": 39725, + "concentr": 11085, + "concentrate": 30846, + "concentrated": 36776, + "concentration": 18565, + "concep": 8389, + "concepcion": 47035, + "concept": 6353, + "conceptart": 31162, + "conception": 30510, + "conceptions": 40307, + "concepts": 16763, + "conceptu": 42745, + "conceptual": 34070, + "concer": 2228, + "concern": 12928, + "concerned": 12020, + "concerning": 21772, + "concerns": 11134, + "concert": 32180, + "concert": 3066, + "concerto": 24710, + "concerts": 14418, + "concession": 38117, + "concessions": 43981, + "concier": 28859, + "concierge": 39850, + "conclave": 38098, + "conclu": 9627, + "conclude": 37525, + "concluded": 27825, + "concludes": 30634, + "conclusion": 20932, + "conclusions": 39507, + "conco": 43034, + "concor": 19913, + "concord": 26448, + "concordia": 35492, + "concours": 36282, + "concourse": 37793, + "concre": 43658, + "concrete": 9637, + "concussion": 28321, + "condem": 13287, + "condemn": 27212, + "condemned": 35145, + "condemns": 32092, + "conden": 24816, + "conditi": 11170, + "condition": 36978, + "condition": 7336, + "conditional": 24671, + "conditioned": 37014, + "conditioner": 31239, + "conditioning": 18181, + "conditions": 5892, + "condo": 19952, + "condol": 18661, + "condolences": 20836, + "condom": 39021, + "condomin": 42589, + "condoms": 37878, + "condor": 47643, + "condos": 42342, + "condu": 40772, + "conduc": 5379, + "conduct": 11647, + "conducted": 13080, + "conducting": 16787, + "conductor": 22317, + "conducts": 32084, + "cone": 39279, + "cone": 10266, + "cones": 26718, + "coney": 41837, + "conf": 6477, + "confe": 1968, + "confeder": 17104, + "confederate": 24864, + "confederation": 43484, + "conferen": 37961, + "conference": 2230, + "conferences": 22811, + "conferencing": 47320, + "confess": 38860, + "confession": 22572, + "confessions": 29404, + "confetti": 37923, + "confi": 5005, + "confidence": 8510, + "confident": 12365, + "confidential": 28712, + "configu": 46746, + "configur": 26950, + "configuration": 33378, + "confin": 45316, + "confined": 40973, + "confir": 3930, + "confirm": 12130, + "confirmation": 19645, + "confirmed": 6346, + "confirming": 38433, + "confirms": 11803, + "confis": 36285, + "confit": 42241, + "confl": 8173, + "conflic": 19029, + "conflict": 10397, + "conflicting": 43894, + "conflicts": 28713, + "confor": 40933, + "confron": 20033, + "confront": 38382, + "confrontation": 41478, + "confu": 6890, + "confuse": 37503, + "confused": 10946, + "confusing": 24683, + "confusion": 20493, + "cong": 24407, + "conge": 20013, + "congestion": 24432, + "congo": 20334, + "congr": 1227, + "congrats": 1887, + "congratul": 1750, + "congratulate": 16633, + "congratulated": 42004, + "congratulates": 24580, + "congratulating": 30967, + "congratulation": 24751, + "congratulations": 1864, + "congre": 7947, + "congreg": 40727, + "congregation": 32618, + "congress": 12452, + "congress": 4599, + "congressional": 15239, + "congressman": 17145, + "congresswoman": 37317, + "coni": 39031, + "coni": 36651, + "conj": 41543, + "conju": 33821, + "conjunction": 34226, + "conley": 44536, + "conline": 37593, + "conn": 41836, + "conn": 20329, + "conne": 8437, + "connec": 29933, + "connect": 19969, + "connected": 27506, + "connecting": 41429, + "connection": 26840, + "connections": 37161, + "connie": 25739, + "connoisse": 46012, + "connol": 27739, + "connolly": 29537, + "connor": 21984, + "connor": 10218, + "conom": 2664, + "conomy": 22529, + "conor": 29955, + "conor": 19478, + "conqu": 13382, + "conquer": 38585, + "conquer": 19821, + "conquered": 27099, + "conquering": 43778, + "conquest": 35367, + "conrad": 22073, + "cons": 10311, + "consci": 9427, + "conscience": 27310, + "conscious": 14914, + "consciously": 46755, + "consciousness": 17894, + "conse": 34887, + "consecu": 12084, + "consecutive": 12413, + "consen": 23110, + "consensus": 25071, + "consent": 21922, + "consequ": 13003, + "consequence": 42262, + "consequences": 15682, + "conserv": 4649, + "conservancy": 46729, + "conservation": 37616, + "conservation": 8322, + "conservative": 11421, + "conservatives": 17631, + "conservatory": 32140, + "conserve": 34231, + "consi": 2899, + "consider": 12471, + "consider": 6734, + "considerable": 38256, + "considerably": 38510, + "consideration": 24310, + "considerations": 33700, + "considered": 9487, + "considering": 10761, + "considers": 24691, + "consist": 10410, + "consist": 33735, + "consisted": 49354, + "consistency": 25683, + "consistent": 16439, + "consistently": 23799, + "consisting": 39241, + "consists": 23458, + "consol": 27869, + "consolation": 38888, + "console": 13403, + "consoles": 33136, + "consoli": 21586, + "consolidation": 41111, + "consor": 27108, + "consortium": 29988, + "conspir": 12680, + "conspiracy": 15236, + "const": 3826, + "constable": 29179, + "constan": 38718, + "constance": 40682, + "constant": 32000, + "constant": 13111, + "constantine": 30640, + "constantly": 14336, + "constell": 21913, + "constellation": 25991, + "constitu": 6299, + "constituency": 22464, + "constituents": 32075, + "constitution": 12157, + "constitutional": 16091, + "constra": 28973, + "constraints": 41910, + "constru": 3983, + "construc": 13321, + "construct": 24467, + "constructed": 16876, + "constructing": 33653, + "construction": 48873, + "construction": 4585, + "constructive": 31810, + "consu": 4689, + "consul": 5295, + "consul": 33630, + "consulate": 34341, + "consult": 9438, + "consult": 26727, + "consultancy": 31735, + "consultant": 14196, + "consultants": 27203, + "consultation": 15777, + "consultations": 43424, + "consulting": 15883, + "consume": 28919, + "consumed": 29653, + "consumer": 34408, + "consumer": 10422, + "consumers": 14014, + "consuming": 30607, + "consumption": 14904, + "cont": 2036, + "cont": 21425, + "contact": 39367, + "contact": 3523, + "contacted": 37331, + "contacts": 22789, + "contag": 29259, + "contagious": 33984, + "contain": 9948, + "contain": 15187, + "contained": 23836, + "container": 14913, + "containers": 20448, + "containing": 20281, + "contains": 12844, + "contamin": 24662, + "contaminated": 35773, + "contamination": 31770, + "conte": 15402, + "conte": 26882, + "contempl": 21924, + "contemplating": 33854, + "contempor": 14538, + "contemporary": 16607, + "contemporary": 8859, + "contemporaryart": 20212, + "contempt": 39293, + "conten": 42201, + "contender": 23573, + "contenders": 29711, + "content": 15526, + "content": 4750, + "contentmarketing": 20429, + "contents": 14850, + "contest": 23103, + "contest": 4576, + "contestalert": 27313, + "contestant": 25682, + "contestants": 28062, + "contested": 37845, + "contests": 32210, + "contex": 42015, + "context": 13089, + "conti": 46431, + "conti": 40842, + "contin": 1918, + "continent": 19623, + "continental": 14089, + "continents": 38642, + "conting": 27104, + "contingent": 36467, + "continu": 4688, + "continually": 34086, + "continuation": 38964, + "continue": 3942, + "continued": 10150, + "continues": 4305, + "continuing": 11009, + "continuity": 34035, + "continuous": 17033, + "continuously": 29634, + "continuum": 44978, + "contour": 34733, + "contr": 22871, + "contra": 9880, + "contra": 38620, + "contrac": 7581, + "contracep": 35109, + "contract": 6120, + "contracting": 39091, + "contractor": 21429, + "contractors": 22427, + "contracts": 16563, + "contradic": 27957, + "contrary": 32805, + "contrast": 18501, + "contrasting": 40758, + "contribu": 4753, + "contribute": 14112, + "contributed": 19397, + "contributes": 34203, + "contributing": 21762, + "contribution": 11116, + "contributions": 14465, + "contributor": 24553, + "contributors": 32908, + "contro": 2372, + "control": 9963, + "control": 3366, + "controlled": 14140, + "controller": 12929, + "controllers": 30374, + "controlling": 26427, + "controls": 15746, + "controversi": 13674, + "controversial": 14617, + "controversy": 18659, + "conv": 48382, + "conve": 18421, + "conven": 7283, + "conveni": 33278, + "convenience": 17859, + "convenient": 18978, + "conveniently": 40844, + "convention": 6752, + "conventional": 20835, + "conventions": 41404, + "conver": 6336, + "convergence": 35381, + "convers": 4577, + "conversation": 5690, + "conversations": 12326, + "converse": 24149, + "conversion": 15111, + "conversions": 44137, + "convert": 20074, + "converted": 20808, + "converter": 34611, + "convertible": 19608, + "converting": 34674, + "converts": 42470, + "convey": 38342, + "convic": 11150, + "convicted": 18668, + "conviction": 24967, + "convictions": 44366, + "convin": 12889, + "convince": 20351, + "convinced": 17388, + "convincing": 27742, + "convo": 19372, + "convocation": 30674, + "convos": 44842, + "convoy": 30292, + "conway": 21410, + "conwy": 48971, + "cony": 14501, + "coo": 1664, + "coo": 21691, + "coogs": 47624, + "cook": 9726, + "cook": 5977, + "cookbook": 21086, + "cooke": 29979, + "cooked": 11452, + "cooker": 23806, + "cookery": 38779, + "cookie": 9367, + "cookies": 8320, + "cookin": 46610, + "cooking": 39248, + "cooking": 6283, + "cookout": 39743, + "cooks": 24256, + "cool": 5594, + "cool": 2077, + "cooled": 37170, + "cooler": 11078, + "coolest": 10566, + "cooling": 15291, + "coom": 41726, + "coon": 34260, + "coon": 16958, + "coop": 39917, + "coop": 18910, + "cooper": 7264, + "cooper": 8133, + "cooperate": 42936, + "cooperation": 11785, + "cooperative": 24517, + "coops": 48531, + "coordin": 8187, + "coordinate": 38250, + "coordinated": 32540, + "coordinating": 40075, + "coordination": 25611, + "coordinator": 13967, + "coors": 36025, + "cop": 3196, + "cop": 7070, + "copa": 22749, + "copd": 45876, + "cope": 47635, + "cope": 12564, + "copeland": 37604, + "copen": 15637, + "copenhagen": 17390, + "coper": 41891, + "copernic": 45519, + "copied": 36770, + "copies": 9851, + "coping": 30545, + "copolitics": 45846, + "copp": 20937, + "copped": 42229, + "copper": 24741, + "copper": 10333, + "coppola": 47427, + "cops": 10719, + "copter": 28049, + "copy": 11376, + "copy": 4509, + "copying": 38925, + "copyright": 15778, + "cor": 851, + "cor": 18559, + "cora": 34953, + "coral": 31220, + "coral": 12054, + "corbett": 35699, + "corbin": 35578, + "corbyn": 14026, + "cord": 40893, + "cord": 11181, + "corden": 41999, + "cordi": 41681, + "cordless": 44412, + "cords": 22164, + "core": 19622, + "core": 5000, + "cores": 37874, + "corey": 31279, + "corey": 15288, + "corgi": 31320, + "cori": 26508, + "coriander": 37491, + "corin": 17716, + "corinthians": 34471, + "cork": 18148, + "cork": 10376, + "corn": 5202, + "corn": 5894, + "cornelius": 45865, + "cornell": 38689, + "cornell": 20859, + "corner": 18509, + "corner": 5253, + "corners": 19584, + "cornerstone": 36280, + "cornish": 23774, + "cornwall": 37903, + "cornwall": 10777, + "coron": 13210, + "corona": 25564, + "coronado": 43946, + "coronary": 45955, + "coronation": 25014, + "coroner": 47241, + "corp": 29203, + "corp": 10918, + "corpor": 4258, + "corporal": 42445, + "corporate": 33877, + "corporate": 6838, + "corporation": 11282, + "corporations": 25482, + "corps": 11330, + "corpse": 29408, + "corpus": 31672, + "correc": 5011, + "correct": 8340, + "corrected": 35628, + "correction": 20843, + "correctional": 38030, + "corrections": 37507, + "correctly": 15359, + "correlation": 29218, + "correspon": 20203, + "correspondent": 29996, + "corri": 12974, + "corridor": 20592, + "corrie": 23961, + "corro": 24936, + "corro": 42033, + "corrosion": 39191, + "corru": 6501, + "corrup": 30429, + "corrupt": 15194, + "corruption": 9141, + "corsa": 47670, + "corsair": 42367, + "corset": 40408, + "cortex": 40109, + "cortez": 30461, + "corvette": 24367, + "cory": 23221, + "cory": 18329, + "cos": 5865, + "cos": 5700, + "cosby": 30324, + "cosc": 45944, + "coscino": 47909, + "cose": 26495, + "cosm": 37486, + "cosme": 9628, + "cosmetic": 23918, + "cosmetics": 12896, + "cosmic": 47398, + "cosmic": 18304, + "cosmo": 12829, + "cosmo": 32072, + "cosmopolitan": 35518, + "cosmos": 22151, + "cospla": 15149, + "cosplay": 42401, + "cosplay": 6435, + "cosplayer": 30215, + "cosplaying": 46701, + "cost": 11360, + "cost": 4713, + "costa": 10480, + "costar": 28659, + "costarica": 31272, + "costco": 31045, + "costello": 30667, + "costing": 39193, + "costly": 30170, + "costs": 7628, + "costu": 5786, + "costume": 7235, + "costumes": 15150, + "cosy": 22848, + "cot": 4718, + "cot": 5871, + "cote": 44234, + "cote": 20751, + "cotland": 32576, + "cotsw": 23303, + "cotswolds": 35546, + "cott": 8211, + "cott": 11349, + "cottage": 12155, + "cottages": 34405, + "cotton": 22218, + "cotton": 7050, + "cou": 1368, + "couch": 12724, + "cougar": 35028, + "cougar": 27042, + "cougars": 20425, + "cough": 35631, + "cough": 18498, + "cougs": 28482, + "coul": 22483, + "could": 44812, + "could": 1510, + "couldn": 4072, + "couldnt": 29042, + "coulter": 42291, + "coun": 939, + "counc": 12927, + "council": 18187, + "council": 3620, + "councill": 15732, + "councillor": 21179, + "councillors": 29695, + "councilman": 40833, + "councils": 29938, + "counsel": 13780, + "counsel": 19814, + "counseling": 25000, + "counsell": 47510, + "counselling": 40581, + "counselor": 26148, + "counselors": 38688, + "count": 6073, + "count": 5887, + "countdown": 39559, + "countdown": 7500, + "counted": 23149, + "counter": 10134, + "counter": 7352, + "counterfe": 33067, + "counterfeit": 44242, + "counterpart": 39216, + "counterparts": 42106, + "counters": 46170, + "countess": 46276, + "counties": 12338, + "counting": 9723, + "countless": 21819, + "countries": 5489, + "country": 7896, + "country": 2157, + "countryfile": 47023, + "countrymusic": 30372, + "countryside": 16303, + "counts": 12264, + "county": 18734, + "county": 2116, + "coup": 9871, + "coup": 16479, + "coupe": 16773, + "couple": 40136, + "couple": 3377, + "coupled": 37153, + "couples": 14752, + "coupling": 45595, + "coupon": 14019, + "coupons": 23945, + "cour": 1391, + "coura": 4436, + "courage": 9828, + "courageous": 25005, + "courier": 27217, + "cours": 21493, + "course": 43225, + "course": 2613, + "courses": 9464, + "court": 16837, + "court": 2908, + "courte": 5088, + "courtesy": 5228, + "courthouse": 22205, + "courtney": 33601, + "courtney": 15990, + "courtroom": 41071, + "courts": 13514, + "courty": 20121, + "courtyard": 21900, + "cous": 48397, + "cousin": 7780, + "cousins": 14073, + "cout": 29118, + "coutinho": 35530, + "couture": 14808, + "cov": 19384, + "cov": 48385, + "cove": 21700, + "cove": 14708, + "coven": 12483, + "covenant": 29647, + "coventry": 18007, + "cover": 13534, + "cover": 2202, + "coverage": 6810, + "covered": 5603, + "covering": 9462, + "covers": 7745, + "covert": 40134, + "coveted": 36119, + "covington": 43196, + "cow": 5076, + "cow": 9706, + "cowan": 42699, + "coward": 33729, + "cowards": 48972, + "cowboy": 25833, + "cowboy": 13657, + "cowboys": 11864, + "cowboysnation": 43082, + "cowell": 39015, + "cowgirl": 47090, + "coworker": 30727, + "coworkers": 30821, + "coworking": 36034, + "cows": 15204, + "cowx": 23831, + "cox": 25784, + "cox": 11597, + "coy": 12765, + "coy": 15742, + "coyi": 48407, + "coyle": 45348, + "coyne": 44729, + "coyo": 16614, + "coyote": 26586, + "coyotes": 30423, + "coys": 19736, + "coz": 39922, + "coz": 14282, + "cozy": 14873, + "cp": 7905, + "cp": 9130, + "cpa": 30095, + "cpac": 45731, + "cpc": 26125, + "cpd": 23402, + "cpec": 48007, + "cpfc": 27553, + "cpi": 41795, + "cpl": 26852, + "cpr": 25134, + "cps": 27078, + "cpt": 32892, + "cpu": 27700, + "cq": 48910, + "cq": 48417, + "cr": 1075, + "cr": 3483, + "cra": 1184, + "cra": 18362, + "crab": 27382, + "crab": 11574, + "crabs": 30908, + "crack": 11222, + "crack": 10334, + "crackdown": 29527, + "cracked": 19826, + "cracker": 16298, + "crackers": 26200, + "cracking": 13008, + "cracks": 21426, + "cracy": 24749, + "cradle": 29384, + "crae": 40438, + "craf": 10873, + "craft": 7717, + "craft": 3588, + "craftbeer": 12371, + "crafted": 12424, + "crafthour": 42324, + "crafting": 26886, + "crafts": 33276, + "crafts": 13383, + "craftsman": 39528, + "craftsmanship": 36682, + "crafty": 32317, + "craic": 46962, + "craig": 14042, + "craig": 8061, + "craigslist": 43865, + "cram": 29809, + "cramer": 44592, + "cramps": 46106, + "cran": 7761, + "cranberries": 49361, + "cranberry": 23824, + "crane": 14626, + "cranes": 26979, + "crani": 45674, + "crank": 46246, + "crank": 32283, + "cranston": 44340, + "crap": 11899, + "crappy": 30475, + "crash": 37150, + "crash": 5033, + "crashed": 16638, + "crashes": 17013, + "crashing": 24991, + "crat": 46696, + "crate": 24756, + "crater": 22663, + "crates": 30172, + "cratic": 32175, + "crative": 39999, + "crats": 43056, + "crave": 33397, + "craven": 33625, + "craving": 18344, + "cravings": 34476, + "craw": 7400, + "crawfish": 42772, + "crawford": 15918, + "crawl": 20106, + "crawler": 41012, + "crawley": 42316, + "crawling": 37066, + "cray": 24184, + "cray": 27032, + "crayon": 41801, + "crayons": 43508, + "craz": 25776, + "craze": 30637, + "craziest": 32690, + "craziness": 46436, + "crazy": 17540, + "crazy": 3578, + "crc": 25618, + "cre": 798, + "cre": 17762, + "cream": 23184, + "cream": 3867, + "creams": 41447, + "creamy": 17206, + "crease": 48441, + "create": 30949, + "create": 3380, + "created": 4080, + "creates": 10361, + "creati": 6714, + "creating": 5524, + "creation": 38293, + "creation": 6900, + "creations": 17411, + "creative": 15237, + "creative": 4450, + "creatives": 29352, + "creativity": 9636, + "creator": 10173, + "creators": 17981, + "creature": 14317, + "creatures": 13938, + "cred": 7314, + "cred": 22377, + "credenti": 29487, + "credentials": 33422, + "credi": 21097, + "credibility": 34984, + "credible": 32983, + "credit": 21467, + "credit": 3900, + "credited": 32480, + "credits": 10654, + "creds": 43462, + "cree": 33961, + "cree": 36014, + "creed": 18845, + "creek": 26120, + "creek": 5526, + "creep": 8153, + "creep": 26084, + "creeper": 38662, + "creeping": 29697, + "creeps": 45135, + "creepy": 11943, + "creighton": 42823, + "creme": 22681, + "creole": 45632, + "crepe": 38611, + "crescent": 18211, + "cress": 39124, + "crest": 35985, + "crest": 15760, + "crested": 36656, + "crete": 8584, + "crew": 21560, + "crew": 3462, + "crewe": 43284, + "crews": 10463, + "cri": 1621, + "cri": 38962, + "crib": 23271, + "cric": 4328, + "cricke": 19098, + "cricket": 21859, + "cricket": 5373, + "cricketer": 28439, + "cricketers": 43986, + "cried": 15290, + "cries": 19769, + "crime": 13872, + "crime": 4896, + "crimea": 28614, + "crimes": 11827, + "crimin": 5874, + "criminal": 30197, + "criminal": 8255, + "criminals": 18783, + "crimson": 19437, + "cringe": 42588, + "cripp": 33588, + "cris": 37818, + "crises": 36403, + "crisis": 5712, + "crisp": 15145, + "crispr": 39784, + "crisps": 35744, + "crispy": 16458, + "criss": 29708, + "cristi": 12699, + "cristian": 48808, + "cristiano": 14807, + "cristina": 33395, + "cristo": 38315, + "crit": 3613, + "crit": 48130, + "criteri": 33627, + "criteria": 24849, + "criterion": 43841, + "criti": 25333, + "critic": 12417, + "critic": 19361, + "critical": 15314, + "critical": 6808, + "critically": 21570, + "criticalrole": 33606, + "criticalrole": 22742, + "criticalrolefanart": 43663, + "critici": 20333, + "criticism": 17405, + "criticize": 46081, + "criticized": 41557, + "critics": 16946, + "critique": 32982, + "critters": 35423, + "crm": 22610, + "cro": 1192, + "cro": 22522, + "croati": 28072, + "croatia": 13323, + "croatian": 34795, + "croc": 43350, + "croche": 35352, + "crochet": 17554, + "crock": 41685, + "crocker": 47843, + "crockett": 48313, + "crocod": 24519, + "crocodile": 24757, + "crocs": 38988, + "croft": 16657, + "croissant": 46011, + "croix": 44735, + "crom": 25082, + "crombie": 46162, + "cromwell": 45345, + "cron": 17361, + "croo": 16443, + "crook": 43744, + "crooked": 48473, + "crooked": 25644, + "crooks": 44226, + "crop": 40751, + "crop": 9955, + "cropped": 31139, + "crops": 16290, + "crore": 18274, + "crores": 37281, + "cros": 16670, + "crosby": 21095, + "cross": 5266, + "cross": 3417, + "crossed": 11731, + "crosses": 20473, + "crossfit": 47214, + "crossfit": 20395, + "crossing": 8673, + "crossings": 43517, + "crossover": 17194, + "crossroads": 27427, + "crossword": 32945, + "crou": 31206, + "crouch": 36506, + "crow": 3138, + "crow": 16019, + "crowd": 12036, + "crowd": 4570, + "crowded": 20182, + "crowdfunding": 17971, + "crowds": 16092, + "crowe": 33560, + "crowley": 32287, + "crown": 22190, + "crown": 6902, + "crowned": 16109, + "crowns": 33229, + "crows": 27134, + "croy": 21676, + "croydon": 27116, + "crs": 28449, + "crt": 43877, + "cru": 1815, + "cru": 29788, + "cruci": 18499, + "crucial": 12396, + "crude": 20677, + "cruel": 16073, + "cruel": 17573, + "cruelty": 20675, + "cruis": 27721, + "cruise": 36425, + "cruise": 6764, + "cruiser": 21394, + "cruises": 19214, + "cruising": 19743, + "crum": 43268, + "crumb": 48327, + "crumb": 39909, + "crumble": 36595, + "crumbs": 35893, + "crun": 17407, + "crunch": 16620, + "crunchy": 31366, + "crusad": 19133, + "crusade": 36846, + "crusader": 40171, + "crusaders": 31319, + "crush": 22296, + "crush": 7610, + "crushed": 18270, + "crusher": 44923, + "crushes": 35844, + "crushing": 20790, + "crust": 23136, + "crusted": 37314, + "cruz": 33689, + "cruz": 8403, + "cry": 2837, + "cry": 6290, + "crying": 6828, + "cryo": 32215, + "cryp": 4865, + "crypt": 37814, + "cryptic": 46925, + "crypto": 8080, + "crypto": 9608, + "cryptocurrencies": 33329, + "cryptocurrency": 12070, + "cryst": 15891, + "crystal": 17387, + "crystal": 6517, + "crystalli": 47551, + "crystals": 18350, + "cs": 11978, + "cs": 2804, + "csa": 26355, + "csc": 41727, + "csc": 37266, + "csd": 36913, + "cse": 41659, + "csg": 47085, + "csgo": 28928, + "csi": 41750, + "csi": 28070, + "csk": 43036, + "csm": 40061, + "csn": 46329, + "cso": 43864, + "csp": 39243, + "csr": 32105, + "csr": 24598, + "csrracing": 44193, + "css": 41418, + "css": 19846, + "cst": 17016, + "csu": 35948, + "csu": 31261, + "csw": 41031, + "ct": 3381, + "ct": 1122, + "cta": 28397, + "ctar": 27842, + "ctc": 34123, + "cte": 31410, + "cted": 2910, + "ctf": 35250, + "cthulhu": 41064, + "cting": 7985, + "ction": 17578, + "ction": 1569, + "ctions": 7021, + "ctive": 9313, + "cto": 17445, + "ctor": 8108, + "ctr": 35602, + "ctr": 18481, + "cts": 6936, + "ctto": 25118, + "ctu": 20834, + "cture": 17668, + "ctv": 21213, + "ctv": 27590, + "cu": 729, + "cu": 11224, + "cuando": 40388, + "cub": 16938, + "cub": 19972, + "cuba": 11576, + "cuban": 15536, + "cube": 47753, + "cube": 11353, + "cubes": 31413, + "cubic": 48159, + "cubic": 29614, + "cubs": 9858, + "cuck": 26364, + "cuckoo": 38062, + "cucu": 16705, + "cucumber": 19787, + "cucumbers": 48065, + "cud": 42684, + "cudd": 12820, + "cuddle": 19568, + "cuddles": 24001, + "cuddling": 29696, + "cuddly": 36208, + "cudi": 48713, + "cue": 13424, + "cuer": 39506, + "cues": 35719, + "cuff": 34693, + "cuff": 22414, + "cufflinks": 43938, + "cuffs": 37221, + "cuis": 9938, + "cuisine": 10605, + "cuk": 34838, + "cul": 1877, + "cula": 35935, + "cular": 10940, + "culars": 45719, + "cule": 31066, + "cules": 18984, + "culin": 14772, + "culinary": 16466, + "cull": 21880, + "cull": 42061, + "cullen": 25973, + "culmin": 33778, + "culo": 36305, + "culprit": 41593, + "cult": 11965, + "cultiv": 16781, + "cultivate": 42983, + "cultivated": 48901, + "cultivation": 41539, + "cultur": 20780, + "cultural": 34908, + "cultural": 6753, + "culturally": 36783, + "culture": 20197, + "culture": 3673, + "cultured": 40176, + "cultures": 19552, + "culver": 42103, + "cum": 20142, + "cum": 27119, + "cumb": 10858, + "cumber": 15309, + "cumberbatch": 27541, + "cumberland": 28747, + "cumbri": 32010, + "cumbria": 17953, + "cumin": 42285, + "cumple": 47050, + "cumul": 42961, + "cumulative": 47610, + "cumulus": 46313, + "cun": 12423, + "cun": 29532, + "cunningham": 25321, + "cuomo": 25681, + "cup": 5059, + "cup": 1937, + "cupboard": 32074, + "cupcake": 17025, + "cupcakes": 12747, + "cupid": 34885, + "cuppa": 28077, + "cups": 11463, + "cur": 1092, + "cur": 33073, + "curated": 20341, + "curator": 20753, + "curb": 21931, + "curd": 38881, + "cure": 36758, + "cure": 9088, + "cured": 26248, + "cures": 38204, + "curfew": 48826, + "curi": 12640, + "curing": 44169, + "curiosity": 21583, + "curious": 9865, + "curl": 24306, + "curled": 43734, + "curling": 18543, + "curls": 24340, + "curly": 20795, + "curran": 40999, + "currant": 43501, + "curren": 6142, + "currencies": 23530, + "currency": 7853, + "current": 3653, + "currently": 3792, + "currents": 35450, + "curric": 16201, + "curriculum": 17947, + "currie": 39385, + "curry": 49285, + "curry": 8051, + "curse": 18479, + "cursed": 26408, + "cursor": 46546, + "curt": 38137, + "curtain": 17223, + "curtains": 30223, + "curti": 39925, + "curtis": 13808, + "curve": 15792, + "curved": 25789, + "curves": 22814, + "curvy": 45788, + "cus": 2736, + "cusa": 47414, + "cuse": 37950, + "cush": 43731, + "cushi": 15333, + "cushion": 20853, + "cushions": 34163, + "cussion": 16658, + "cussions": 46853, + "cust": 20900, + "custard": 26516, + "custo": 4376, + "custody": 16176, + "custom": 2662, + "custom": 4996, + "custome": 41323, + "customer": 24035, + "customer": 5102, + "customerexperience": 45167, + "customers": 5528, + "customerservice": 40611, + "customiz": 41793, + "customizable": 48253, + "customization": 48244, + "customize": 32179, + "customized": 23229, + "customs": 16880, + "cut": 10511, + "cut": 3032, + "cute": 16031, + "cute": 2242, + "cuteness": 19342, + "cuter": 27151, + "cutest": 8032, + "cuth": 44328, + "cutie": 10733, + "cuties": 40939, + "cuties": 23420, + "cutiesaturday": 41883, + "cutler": 40428, + "cutlery": 49073, + "cutout": 45016, + "cuts": 7435, + "cutt": 27338, + "cutt": 47647, + "cutter": 19719, + "cutters": 44783, + "cutting": 7266, + "cuz": 9215, + "cv": 13531, + "cv": 13947, + "cvs": 29603, + "cw": 10652, + "cw": 11065, + "cwc": 19179, + "cwgc": 48527, + "cws": 45186, + "cx": 44457, + "cx": 14283, + "cy": 1470, + "cy": 1678, + "cyber": 5830, + "cyber": 10210, + "cybercrime": 41772, + "cybermonday": 36578, + "cyberpunk": 36896, + "cybersecurity": 10581, + "cyborg": 36650, + "cycl": 9791, + "cycle": 19083, + "cycle": 5072, + "cycled": 31055, + "cycles": 14605, + "cycli": 12201, + "cycling": 26353, + "cycling": 6321, + "cyclist": 20686, + "cyclists": 20303, + "cyclo": 18122, + "cyclone": 48094, + "cyclone": 20917, + "cyclones": 34669, + "cylin": 18569, + "cylinder": 22092, + "cylinders": 48888, + "cymb": 36677, + "cymru": 24005, + "cyn": 14324, + "cynthi": 41994, + "cynthia": 23748, + "cyp": 14809, + "cypress": 25347, + "cypri": 36481, + "cyprus": 15263, + "cyril": 36028, + "cyrus": 14204, + "cystic": 46131, + "cyto": 31864, + "cz": 22898, + "cz": 22921, + "cze": 12152, + "czech": 43151, + "czech": 16141, + "cé": 36454, + "cé": 18317, + "d": 67, + "d": 323, + "da": 925, + "da": 1140, + "daa": 32642, + "daan": 44814, + "dab": 10413, + "dab": 22900, + "dac": 16222, + "dac": 27478, + "daca": 28477, + "dach": 34166, + "dachsh": 41641, + "dachshund": 42720, + "dad": 4346, + "dad": 2639, + "dada": 31325, + "daddy": 29466, + "daddy": 6546, + "dade": 23299, + "dades": 28289, + "dads": 12741, + "dae": 23358, + "dae": 15422, + "daener": 46934, + "daes": 47282, + "daesh": 35047, + "daf": 9972, + "daf": 36704, + "daffodils": 44769, + "daft": 36347, + "dag": 11434, + "dag": 25650, + "dagger": 34251, + "dah": 16976, + "dah": 11776, + "dahl": 45816, + "dahl": 22621, + "dahlia": 41768, + "dai": 13559, + "dai": 10632, + "dail": 14676, + "dailies": 21260, + "daily": 6689, + "daily": 2873, + "dailynews": 43466, + "dailys": 43160, + "dailysketch": 46738, + "daim": 40421, + "dain": 32222, + "dain": 28315, + "daipur": 47631, + "dair": 19998, + "dair": 42078, + "dairy": 25243, + "dairy": 10302, + "dairyfree": 49366, + "dais": 10502, + "daisi": 39947, + "daisies": 40654, + "daisy": 39310, + "daisy": 12865, + "dak": 6999, + "dak": 16095, + "dakar": 31137, + "dakota": 38522, + "dakota": 12358, + "dal": 2476, + "dal": 5601, + "dala": 42675, + "dalai": 41222, + "dalail": 35169, + "dalailama": 35849, + "dale": 11533, + "dale": 4677, + "dalejr": 38207, + "dales": 29031, + "daley": 28544, + "dalgo": 43614, + "dali": 36735, + "dali": 25703, + "dalit": 45432, + "dall": 43631, + "dalla": 16772, + "dallas": 27414, + "dallas": 5759, + "dallascowboys": 33016, + "dalmati": 44275, + "dalton": 21488, + "daly": 24873, + "dam": 1880, + "dam": 4926, + "damage": 6822, + "damaged": 13568, + "damages": 28842, + "damaging": 20610, + "damas": 23345, + "damascus": 25396, + "dame": 10069, + "dames": 44548, + "dami": 17783, + "damian": 43307, + "damian": 25375, + "damien": 25090, + "dammit": 31057, + "damn": 37409, + "damn": 4451, + "damned": 28428, + "damon": 48503, + "damon": 18244, + "damp": 26520, + "dams": 37680, + "dan": 2257, + "dan": 2284, + "dana": 44834, + "dana": 13777, + "danao": 38598, + "danc": 3945, + "dance": 10619, + "dance": 2724, + "danced": 32891, + "dancehall": 33300, + "dancer": 11400, + "dancers": 13153, + "dances": 24083, + "dancing": 33280, + "dancing": 6226, + "dand": 12593, + "dandelion": 38903, + "dandy": 31932, + "dane": 19330, + "danes": 47477, + "dang": 4283, + "dang": 14992, + "danger": 20083, + "danger": 11212, + "dangerous": 7350, + "dangerously": 35012, + "dangers": 23726, + "dangle": 39907, + "dani": 3001, + "dani": 17009, + "daniel": 7859, + "daniel": 4981, + "daniela": 44466, + "danielle": 30396, + "danielle": 15292, + "danielpadilla": 34702, + "daniels": 16146, + "danish": 15467, + "dank": 31849, + "dann": 11951, + "danny": 14950, + "danny": 7621, + "dano": 29703, + "dans": 16241, + "dant": 48097, + "dant": 28237, + "dante": 21911, + "danube": 44594, + "dany": 47816, + "dao": 36099, + "dap": 12149, + "dap": 38034, + "daph": 24591, + "daphne": 31687, + "dapl": 34478, + "dapp": 46857, + "dapper": 26071, + "daq": 25381, + "dar": 1377, + "dar": 6242, + "dara": 17064, + "darby": 34366, + "darcy": 32916, + "dare": 14833, + "dare": 9863, + "daredevil": 28849, + "dares": 42973, + "dareto": 46794, + "dari": 16292, + "dari": 14552, + "daria": 45622, + "daries": 18184, + "daring": 28166, + "dario": 33918, + "darius": 32606, + "darje": 49089, + "dark": 5724, + "dark": 3144, + "darker": 18737, + "darkest": 25898, + "darkness": 10521, + "darling": 13048, + "darlings": 39961, + "darlington": 34565, + "darn": 26059, + "darrell": 33522, + "darren": 20263, + "darren": 12275, + "darry": 29200, + "darryl": 35359, + "darshan": 34564, + "dart": 14001, + "dart": 19841, + "darth": 41304, + "darth": 23164, + "dartmoor": 31477, + "dartmouth": 29667, + "darts": 15246, + "darwin": 43013, + "darwin": 20926, + "daryl": 45607, + "daryl": 24532, + "das": 9940, + "das": 7359, + "dash": 13858, + "dash": 10206, + "dashboard": 27679, + "dashi": 12876, + "dashing": 33825, + "dat": 1717, + "dat": 9445, + "data": 14876, + "data": 2281, + "datab": 11941, + "database": 14678, + "databases": 48384, + "datac": 27329, + "datacenter": 40133, + "datasci": 14496, + "datascience": 15748, + "dataviz": 28138, + "date": 34300, + "date": 1524, + "dated": 13564, + "dates": 7228, + "dating": 8534, + "dation": 15311, + "datlantic": 34270, + "dato": 36075, + "dats": 48674, + "dau": 3162, + "dau": 33828, + "daugh": 42523, + "daughter": 3944, + "daughters": 13585, + "daun": 29470, + "dav": 3700, + "dav": 46488, + "davao": 31502, + "dave": 10089, + "dave": 5077, + "daven": 28350, + "davenport": 34624, + "davey": 33391, + "davi": 1732, + "david": 4640, + "david": 2259, + "davidbowie": 44448, + "davido": 35989, + "davids": 46695, + "davidson": 13166, + "davies": 13120, + "davin": 43187, + "davis": 24426, + "davis": 5536, + "davison": 43725, + "davos": 31887, + "davy": 41565, + "daw": 5971, + "daw": 24404, + "dawg": 18660, + "dawgs": 26431, + "dawn": 30590, + "dawn": 7689, + "dawson": 18611, + "dax": 29458, + "day": 1405, + "day": 575, + "daya": 38165, + "daybreak": 33862, + "daycare": 36363, + "daydream": 41587, + "dayin": 20332, + "daylight": 20809, + "dayo": 29856, + "dayo": 46605, + "dayof": 16272, + "dayofthe": 38043, + "days": 1161, + "daysof": 12379, + "daysofcode": 36537, + "daysto": 29886, + "daystogo": 42198, + "dayswild": 42052, + "daytime": 22830, + "dayton": 35729, + "dayton": 20262, + "daytona": 16335, + "dayweekend": 44526, + "dayz": 35949, + "daz": 15449, + "daz": 43844, + "daze": 33591, + "dazz": 17149, + "dazzle": 41164, + "dazzling": 28821, + "db": 19100, + "db": 8128, + "dbacks": 31175, + "dbs": 40558, + "dbz": 49226, + "dc": 5074, + "dc": 2743, + "dca": 49107, + "dcc": 33747, + "dccomics": 17610, + "dcfc": 35526, + "dci": 35336, + "dcs": 42878, + "dcu": 42647, + "dd": 1353, + "dd": 3766, + "dda": 35202, + "ddad": 39049, + "dday": 32689, + "dday": 26243, + "ddc": 48513, + "ddd": 24183, + "dddd": 35362, + "dden": 5013, + "dder": 9300, + "dders": 24827, + "ddi": 44450, + "ddin": 17175, + "dding": 48101, + "dding": 8974, + "ddings": 49106, + "ddington": 29238, + "ddle": 17633, + "ddle": 8357, + "ddled": 38392, + "ddles": 33901, + "ddleston": 25647, + "ddling": 30981, + "ddlovato": 28244, + "ddos": 46463, + "ddr": 26027, + "dds": 48334, + "ddu": 43836, + "ddy": 14981, + "ddy": 7876, + "de": 561, + "de": 654, + "dea": 18477, + "deacon": 29155, + "dead": 3906, + "dead": 2747, + "deadliest": 40811, + "deadline": 47209, + "deadline": 8458, + "deadlines": 44959, + "deadly": 10756, + "deadpool": 21471, + "deaf": 28229, + "deaf": 18358, + "deal": 7249, + "deal": 2696, + "dealer": 15218, + "dealers": 21697, + "dealership": 32096, + "dealing": 13138, + "deals": 4469, + "dealt": 30101, + "dean": 13807, + "dean": 5828, + "deandre": 43635, + "deans": 46852, + "dear": 15696, + "dear": 3817, + "dearest": 24880, + "dearly": 31880, + "deas": 34715, + "death": 7163, + "death": 2767, + "deaths": 12253, + "deau": 12399, + "deaux": 19883, + "deb": 2987, + "deb": 25687, + "debat": 32082, + "debate": 5196, + "debates": 19239, + "debating": 23472, + "debbie": 47186, + "debbie": 16735, + "debit": 32410, + "debor": 16738, + "deborah": 40997, + "deborah": 22150, + "debra": 33233, + "debris": 19208, + "debt": 8932, + "debts": 38770, + "debu": 9790, + "debun": 33123, + "debut": 42608, + "debut": 4085, + "debuted": 25215, + "debuting": 34817, + "debuts": 17044, + "dec": 3063, + "dec": 4628, + "deca": 33428, + "decad": 29914, + "decade": 11099, + "decadent": 41716, + "decades": 10488, + "decal": 26678, + "decals": 37606, + "decan": 40677, + "decat": 35334, + "decath": 47455, + "decatur": 38540, + "decay": 22703, + "dece": 3534, + "deceased": 30035, + "december": 3864, + "decent": 10698, + "decentr": 28960, + "decentralized": 38485, + "decep": 33529, + "deception": 33046, + "deci": 2262, + "decide": 8447, + "decided": 4939, + "decides": 17269, + "deciding": 22513, + "decision": 5575, + "decisions": 9903, + "decisive": 28690, + "deck": 24885, + "deck": 6943, + "decked": 39096, + "decker": 21449, + "decks": 23968, + "decl": 7091, + "decla": 10739, + "declan": 42341, + "declar": 18040, + "declaration": 19714, + "declare": 19856, + "declared": 13845, + "declares": 23641, + "declaring": 33273, + "decline": 15084, + "declined": 28911, + "declines": 40478, + "declining": 29221, + "deco": 26412, + "deco": 16422, + "decor": 5148, + "decor": 6928, + "decorate": 23651, + "decorated": 15917, + "decorating": 16968, + "decoration": 16029, + "decorations": 19158, + "decorative": 19289, + "decre": 12284, + "decrease": 24703, + "decreased": 33913, + "decreasing": 43763, + "decree": 43327, + "ded": 16744, + "ded": 1241, + "dedic": 4701, + "dedicate": 27610, + "dedicated": 6770, + "dedication": 10188, + "dedly": 36204, + "deduc": 22799, + "dee": 5268, + "dee": 6705, + "deed": 30260, + "deeds": 24516, + "deejay": 48304, + "deejay": 44511, + "deemed": 28102, + "deen": 26456, + "deen": 12912, + "deep": 5462, + "deep": 3383, + "deepak": 45528, + "deeper": 15224, + "deepest": 22245, + "deephouse": 35684, + "deepi": 19371, + "deepika": 34120, + "deepikap": 29903, + "deepikapadukone": 30646, + "deeplear": 22181, + "deeplearning": 24362, + "deeply": 11449, + "deer": 19454, + "deer": 8700, + "deere": 32901, + "dees": 12547, + "deets": 35537, + "def": 2044, + "def": 11649, + "defam": 35670, + "defamation": 42741, + "default": 21650, + "defe": 4148, + "defeat": 8477, + "defeated": 8927, + "defeating": 22594, + "defeats": 16317, + "defect": 44013, + "defects": 37485, + "defen": 3619, + "defence": 30307, + "defence": 9659, + "defend": 21970, + "defend": 11397, + "defended": 27161, + "defender": 10618, + "defenders": 20063, + "defending": 13098, + "defends": 20134, + "defense": 45875, + "defense": 6021, + "defenseman": 43714, + "defenses": 49198, + "defensive": 10824, + "defi": 17244, + "defiance": 36186, + "defiant": 47597, + "defibrill": 47684, + "defic": 18022, + "defici": 23387, + "deficiency": 30685, + "deficit": 20156, + "defin": 3188, + "define": 14919, + "defined": 15278, + "defines": 28218, + "defining": 20504, + "definite": 40793, + "definitely": 4824, + "definition": 11405, + "definitive": 25298, + "defl": 31467, + "deforestation": 41330, + "defstar": 36427, + "defy": 39148, + "defying": 38496, + "deg": 38498, + "degra": 28939, + "degradation": 44468, + "degre": 4653, + "degree": 7119, + "degrees": 8000, + "deh": 35582, + "dei": 33833, + "dei": 23279, + "deir": 42948, + "deity": 42574, + "deja": 46902, + "dek": 23901, + "dekalb": 37775, + "del": 1233, + "del": 2003, + "dela": 37986, + "delaney": 31528, + "delav": 23706, + "delavin": 40477, + "delavin": 40776, + "delavinkisses": 40631, + "delaware": 17547, + "delay": 12955, + "delay": 10934, + "delayed": 14567, + "delaying": 43781, + "delays": 11232, + "dele": 7922, + "dele": 33431, + "delec": 38615, + "delectable": 45500, + "deleg": 8046, + "delegate": 27259, + "delegates": 14623, + "delegation": 14632, + "delete": 19204, + "deleted": 16588, + "deleting": 41857, + "delft": 42749, + "delgado": 49182, + "delhi": 26723, + "delhi": 5717, + "deli": 1932, + "deli": 18601, + "delia": 33193, + "deliber": 18316, + "deliberate": 38271, + "deliberately": 35163, + "delic": 13366, + "delicacy": 49181, + "delicate": 18768, + "delici": 19993, + "delicious": 3959, + "deliciously": 39589, + "deliciousness": 42819, + "delight": 46165, + "delight": 13073, + "delighted": 5943, + "delightful": 15513, + "delights": 25330, + "deline": 18797, + "delines": 13562, + "delish": 25093, + "deliver": 19561, + "deliver": 7396, + "delivered": 7278, + "deliveries": 29336, + "delivering": 9943, + "delivers": 11753, + "delivery": 5619, + "dell": 24381, + "dell": 10242, + "della": 22986, + "delle": 35963, + "deloit": 29428, + "deloitte": 38667, + "dels": 48636, + "delta": 32250, + "delta": 8768, + "delu": 18779, + "delusional": 48059, + "delux": 13709, + "deluxe": 14056, + "delve": 46008, + "dely": 15040, + "dem": 3251, + "dem": 7825, + "dema": 40268, + "dema": 45046, + "deman": 48366, + "demand": 13072, + "demand": 5650, + "demanded": 33699, + "demanding": 17099, + "demands": 14241, + "demar": 46566, + "demarcus": 47873, + "demb": 35930, + "demdebate": 43973, + "deme": 25143, + "demean": 37376, + "demen": 12604, + "dementi": 46028, + "dementia": 14047, + "demetri": 39553, + "demi": 32879, + "demi": 14480, + "demise": 28756, + "demo": 2930, + "demo": 7380, + "democr": 3573, + "democracy": 7758, + "democrat": 15431, + "democratic": 9149, + "democrats": 8865, + "demographic": 31308, + "demol": 19382, + "demolished": 26537, + "demolition": 22237, + "demon": 5635, + "demon": 12085, + "demonetisation": 41338, + "demonic": 46920, + "demons": 18388, + "demonstr": 8579, + "demonstrate": 22231, + "demonstrated": 29477, + "demonstrates": 24806, + "demonstrating": 22107, + "demonstration": 16722, + "demonstrations": 33964, + "demonstrators": 46450, + "demos": 19304, + "demp": 22490, + "dempsey": 30188, + "dems": 10989, + "demsin": 42664, + "demsinphilly": 43091, + "den": 1177, + "den": 1181, + "dena": 32431, + "denali": 48076, + "dence": 3370, + "dency": 11659, + "dend": 37447, + "dends": 43985, + "dene": 45128, + "dened": 19571, + "deng": 43098, + "deng": 41788, + "dengue": 41932, + "denham": 39180, + "deni": 21995, + "denial": 25716, + "denied": 15780, + "denies": 19565, + "denim": 13606, + "denis": 47630, + "denis": 18750, + "denise": 45900, + "denise": 20899, + "denmark": 13268, + "dennis": 32738, + "dennis": 10534, + "denny": 26808, + "denomin": 41016, + "dens": 16533, + "dense": 19353, + "density": 22431, + "dent": 3593, + "dent": 1258, + "dental": 24635, + "dental": 8382, + "dentally": 10346, + "dented": 21923, + "denti": 4418, + "dential": 5459, + "dentist": 17816, + "dentistry": 25754, + "dently": 28817, + "denton": 23567, + "dents": 1517, + "denver": 27847, + "denver": 8569, + "deny": 18679, + "denying": 32771, + "denzel": 42503, + "deo": 26406, + "deo": 12121, + "deodor": 47639, + "deol": 41902, + "deon": 31466, + "deon": 16079, + "dep": 6079, + "dep": 24370, + "depar": 10794, + "depart": 5343, + "depart": 30649, + "departed": 32541, + "departing": 26902, + "department": 5744, + "departments": 29523, + "departs": 38998, + "departure": 17850, + "depe": 36118, + "depend": 13894, + "depend": 27371, + "dependence": 40243, + "dependent": 23280, + "depending": 23673, + "depends": 20497, + "depic": 11307, + "depicted": 34637, + "depicting": 24970, + "depiction": 31071, + "depicts": 29340, + "deple": 38504, + "deplo": 9356, + "deplor": 39232, + "deploy": 26944, + "deployed": 20009, + "deploying": 42212, + "deployment": 20183, + "depo": 14276, + "depor": 36110, + "deport": 23389, + "deportation": 36617, + "deported": 39320, + "deportes": 47878, + "depos": 21266, + "deposit": 16775, + "deposits": 30740, + "depot": 12589, + "depp": 24941, + "depre": 7107, + "depress": 38869, + "depressed": 23269, + "depressing": 29235, + "depression": 10023, + "depri": 28587, + "depriv": 45809, + "deprivation": 47810, + "deprived": 39140, + "dept": 9201, + "depth": 10350, + "depths": 28855, + "depu": 6912, + "deputies": 24914, + "deputy": 7932, + "der": 839, + "der": 801, + "dera": 20696, + "derail": 48502, + "derby": 13904, + "derby": 7177, + "derbyshire": 22147, + "derdale": 21513, + "dere": 5701, + "dere": 44194, + "dered": 3776, + "derek": 22461, + "derek": 11205, + "derel": 46728, + "derer": 11289, + "derers": 20882, + "deri": 34573, + "derick": 33908, + "dering": 6076, + "deriv": 33458, + "derived": 26461, + "derland": 35488, + "derman": 29740, + "dermatology": 48051, + "dern": 30086, + "dero": 37203, + "dero": 34026, + "derrick": 21798, + "derry": 45777, + "derry": 20535, + "ders": 37307, + "ders": 1923, + "derson": 12677, + "dery": 17172, + "des": 6797, + "des": 1437, + "desai": 35316, + "desc": 13866, + "descen": 32318, + "descend": 26004, + "descend": 46241, + "descendants": 36323, + "descending": 36620, + "descent": 19375, + "desch": 49209, + "descri": 4637, + "describe": 10967, + "described": 14671, + "describes": 13678, + "describing": 24239, + "descrip": 41832, + "description": 13951, + "descriptions": 40653, + "desde": 42218, + "dese": 27195, + "deser": 3659, + "desert": 45776, + "desert": 7301, + "deserted": 41560, + "deserve": 7043, + "deserved": 10061, + "deserves": 9079, + "deserving": 26615, + "desh": 25320, + "desh": 7448, + "deshi": 42769, + "desi": 6772, + "desi": 26635, + "desig": 1250, + "design": 8359, + "design": 1681, + "designated": 24119, + "designation": 41155, + "designed": 4486, + "designer": 35640, + "designer": 5728, + "designers": 12720, + "designing": 13467, + "designs": 6747, + "designthinking": 32450, + "desirable": 32368, + "desire": 11858, + "desired": 28631, + "desires": 27598, + "desk": 11937, + "desk": 6550, + "desks": 41014, + "desktop": 14345, + "desmond": 27821, + "desol": 41258, + "desp": 3642, + "despair": 28097, + "desper": 10144, + "desperate": 15072, + "desperately": 21993, + "despic": 32442, + "despicable": 37158, + "despite": 5325, + "dess": 7096, + "dess": 10001, + "dessert": 9753, + "desserts": 22948, + "desses": 43913, + "dest": 6540, + "dest": 4549, + "destin": 4934, + "destination": 32191, + "destination": 9179, + "destinations": 16981, + "destined": 28525, + "destiny": 39875, + "destiny": 10867, + "destro": 8287, + "destroy": 8308, + "destroy": 11930, + "destroyed": 9965, + "destroyer": 25291, + "destroying": 19613, + "destroys": 27634, + "destruc": 22945, + "destruction": 14281, + "destructive": 29591, + "det": 28966, + "det": 15366, + "deta": 1914, + "detached": 26252, + "detail": 7657, + "detailed": 12609, + "detailing": 23163, + "details": 2353, + "detained": 20260, + "dete": 5606, + "detec": 17991, + "detect": 22744, + "detected": 26988, + "detecting": 41290, + "detection": 16220, + "detective": 13672, + "detectives": 27994, + "detector": 27689, + "detectors": 45063, + "detention": 16908, + "deter": 10742, + "deter": 47458, + "detergent": 46726, + "deterior": 28512, + "determin": 8325, + "determination": 17410, + "determine": 16768, + "determined": 14371, + "determines": 42192, + "determining": 39884, + "deth": 38375, + "deto": 39710, + "deton": 39335, + "detour": 31211, + "detox": 22459, + "detri": 47951, + "detro": 6210, + "detroit": 19404, + "detroit": 7073, + "detta": 45438, + "dette": 35750, + "deu": 21457, + "deuce": 45332, + "deus": 37625, + "deut": 14970, + "deutsch": 30389, + "deutsche": 32760, + "deutschland": 36878, + "deux": 47089, + "dev": 2797, + "dev": 3670, + "deva": 45179, + "devan": 37072, + "devast": 12913, + "devastated": 29865, + "devastating": 19280, + "devastation": 42452, + "devel": 1820, + "develop": 1966, + "develop": 7708, + "developed": 8763, + "developer": 10929, + "developers": 13248, + "developing": 8131, + "development": 2855, + "developmental": 29347, + "developments": 17393, + "develops": 29895, + "deven": 45537, + "devgn": 29871, + "devi": 12926, + "devi": 20717, + "deviant": 25593, + "deviantart": 26046, + "device": 8163, + "devices": 9067, + "devil": 8894, + "devil": 8043, + "deville": 34329, + "devils": 11683, + "devin": 31193, + "devin": 20996, + "devine": 33019, + "devlin": 48040, + "devo": 11861, + "devo": 43444, + "devon": 16205, + "devon": 10046, + "devops": 21504, + "devos": 40646, + "devote": 37777, + "devoted": 24561, + "devotees": 39759, + "devotion": 25821, + "devotional": 35456, + "devs": 27374, + "dew": 31952, + "dew": 16358, + "dewey": 40399, + "dex": 10030, + "dex": 13790, + "dexpo": 42502, + "dexter": 45049, + "dexter": 22781, + "dey": 11829, + "dez": 23190, + "dez": 8122, + "df": 12908, + "df": 10468, + "dfc": 41903, + "dfs": 32880, + "dfw": 20439, + "dg": 2394, + "dg": 9742, + "dgate": 41684, + "dge": 4016, + "dge": 1360, + "dged": 11830, + "dgeon": 45655, + "dgers": 8733, + "dges": 5432, + "dging": 9565, + "dh": 6669, + "dh": 9960, + "dha": 11629, + "dha": 27377, + "dhabi": 22349, + "dhaka": 32877, + "dham": 29635, + "dham": 30838, + "dhan": 12542, + "dhan": 28569, + "dhanush": 26162, + "dhanush": 36200, + "dhanushkraja": 29266, + "dhar": 12397, + "dharma": 30536, + "dhary": 28706, + "dhawan": 44699, + "dhe": 29706, + "dheim": 44280, + "dhi": 31553, + "dhi": 26166, + "dho": 37834, + "dhoni": 25698, + "dhru": 40257, + "dhry": 39960, + "dhs": 26849, + "dhu": 32387, + "di": 570, + "di": 1618, + "dia": 7351, + "dia": 3357, + "diab": 15954, + "diabe": 19167, + "diabete": 43826, + "diabetes": 10319, + "diabetic": 30230, + "diablo": 23931, + "diag": 6851, + "diagno": 7736, + "diagnose": 44429, + "diagnosed": 16979, + "diagnosis": 15715, + "diagnostic": 26351, + "diagnostics": 37723, + "diagram": 22697, + "dial": 18416, + "dial": 11381, + "dialo": 30709, + "dialog": 48945, + "dialogue": 11288, + "dialogues": 40330, + "dialysis": 44798, + "diam": 4347, + "diameter": 27189, + "diamon": 8873, + "diamond": 18535, + "diamond": 6235, + "diamonds": 12687, + "dian": 16021, + "dian": 4998, + "diana": 12803, + "diane": 15855, + "dianne": 42299, + "dians": 21041, + "diaper": 34382, + "diapers": 39659, + "diar": 25932, + "diaries": 15541, + "diary": 10380, + "dias": 22137, + "dias": 29354, + "diaspora": 28390, + "diaz": 17688, + "dic": 1404, + "dic": 6717, + "dicap": 30023, + "dicaprio": 30755, + "dice": 14406, + "dick": 14413, + "dick": 9554, + "dickens": 33421, + "dict": 45360, + "dict": 15159, + "dictat": 26156, + "dictator": 27399, + "dictatorship": 37989, + "dictionary": 19699, + "did": 1861, + "did": 1335, + "diddy": 33527, + "didi": 34396, + "didier": 45614, + "didn": 2376, + "didnt": 13057, + "dido": 31725, + "didyou": 12295, + "didyouknow": 12506, + "die": 3150, + "die": 2082, + "diec": 27729, + "diecast": 37936, + "died": 3622, + "diego": 30940, + "diego": 6306, + "diem": 45571, + "dience": 33686, + "dient": 27231, + "dier": 29702, + "dier": 16394, + "dies": 20104, + "dies": 1862, + "diesel": 46312, + "diesel": 10591, + "diest": 45739, + "diet": 21295, + "diet": 6582, + "dietary": 29009, + "dietrich": 47005, + "diets": 35173, + "dif": 18656, + "dif": 48731, + "diff": 44073, + "diff": 20331, + "diffe": 1967, + "differ": 34620, + "differen": 14903, + "difference": 4731, + "differences": 14003, + "different": 2731, + "differenti": 21729, + "differential": 34027, + "differentiate": 49032, + "differently": 18325, + "diffic": 6140, + "difficult": 7405, + "difficulties": 23468, + "difficulty": 25245, + "diffu": 31603, + "diffuser": 49400, + "dig": 1831, + "dig": 9887, + "dige": 17820, + "digest": 20413, + "digestion": 40533, + "digestive": 32304, + "digg": 43240, + "digger": 35919, + "diggin": 48466, + "digging": 14971, + "digi": 15627, + "digi": 39361, + "digimon": 44181, + "digit": 14899, + "digit": 27472, + "digital": 4704, + "digital": 2794, + "digitalart": 16987, + "digitalhealth": 32190, + "digitalindia": 46630, + "digitally": 27543, + "digitalmarketing": 15299, + "digitaltransformation": 20047, + "digiti": 25935, + "digits": 31710, + "digni": 45532, + "dignit": 39497, + "dignity": 17744, + "digo": 35701, + "digs": 26877, + "dih": 43089, + "dii": 32755, + "dijk": 44444, + "dik": 38854, + "dik": 37747, + "dike": 42683, + "dil": 7643, + "dil": 17942, + "dile": 25428, + "dilemma": 29787, + "dilig": 30664, + "dill": 12318, + "dill": 27206, + "dillon": 21056, + "dilu": 45242, + "dim": 19576, + "dim": 17523, + "dime": 24443, + "dimen": 10935, + "dimension": 20479, + "dimensional": 25252, + "dimensions": 25086, + "diment": 43500, + "dimes": 44888, + "dimini": 37459, + "dimit": 22250, + "dimitri": 48840, + "dimp": 38853, + "din": 1462, + "din": 5673, + "dina": 36815, + "dinah": 30903, + "dine": 20951, + "dine": 12989, + "diner": 16963, + "dinesh": 48341, + "ding": 7545, + "ding": 796, + "dinger": 45580, + "dingh": 48064, + "dings": 5473, + "dington": 24804, + "dinho": 47370, + "dini": 20196, + "dining": 8658, + "dinner": 27548, + "dinner": 2571, + "dinners": 33570, + "dino": 9692, + "dino": 14077, + "dinosa": 18955, + "dinosaur": 15095, + "dinosaurs": 20387, + "dio": 3779, + "dio": 1521, + "dioce": 20763, + "diocese": 27091, + "dion": 42899, + "dion": 16250, + "dior": 23655, + "dios": 37563, + "dious": 27417, + "dioxide": 38102, + "dip": 19918, + "dip": 11343, + "dipl": 8490, + "diplo": 38115, + "diplom": 11169, + "diploma": 21251, + "diplomacy": 23798, + "diplomat": 32828, + "diplomatic": 23782, + "diplomats": 44126, + "dipped": 30610, + "dipper": 49317, + "dipping": 33544, + "dips": 37522, + "dir": 4251, + "dir": 8478, + "dire": 38355, + "dire": 25664, + "direc": 1534, + "direct": 43224, + "direct": 6016, + "directed": 8392, + "directing": 21817, + "direction": 15923, + "direction": 5407, + "directional": 38687, + "directioner": 48042, + "directioners": 22055, + "directions": 16440, + "directive": 40630, + "directly": 9701, + "director": 20337, + "director": 2681, + "directorial": 45327, + "directors": 11940, + "directory": 25272, + "directs": 34349, + "directv": 48652, + "dirk": 28171, + "dirt": 31415, + "dirt": 11795, + "dirty": 20127, + "dirty": 7615, + "dis": 1518, + "dis": 6112, + "disa": 3882, + "disab": 47380, + "disabilities": 17350, + "disability": 48986, + "disability": 13261, + "disabled": 13613, + "disadvantaged": 40577, + "disagree": 23199, + "disapp": 5384, + "disappear": 21148, + "disappear": 25173, + "disappearance": 35929, + "disappeared": 23139, + "disappearing": 35819, + "disappears": 44406, + "disappo": 7605, + "disappoint": 25446, + "disappointed": 13794, + "disappointing": 21941, + "disappointment": 23884, + "disappoints": 48545, + "disappro": 48276, + "disar": 42971, + "disaster": 9072, + "disasters": 26976, + "disastrous": 35790, + "disc": 1472, + "disc": 10712, + "discar": 40532, + "discarded": 45197, + "discer": 49140, + "dischar": 22671, + "discharge": 32485, + "disci": 9559, + "discip": 38951, + "discipl": 10467, + "disciples": 39366, + "disciplinary": 20232, + "discipline": 18903, + "disciplines": 42032, + "discla": 40248, + "disclaimer": 46465, + "disclo": 17481, + "disclose": 46379, + "disclosed": 30905, + "disclosure": 26502, + "disco": 2475, + "disco": 11964, + "discography": 47545, + "discomfort": 48054, + "discord": 23582, + "discoun": 18515, + "discount": 7638, + "discounted": 20993, + "discounts": 18186, + "discoura": 45850, + "discourse": 29441, + "discover": 10539, + "discover": 4834, + "discovered": 6986, + "discoveries": 29308, + "discovering": 17967, + "discovers": 29719, + "discovery": 40491, + "discovery": 8027, + "discre": 20616, + "discrimin": 11721, + "discrimination": 14775, + "discs": 29270, + "discu": 1984, + "discus": 41828, + "discuss": 4312, + "discussed": 11300, + "discusses": 8116, + "discussing": 5900, + "discussion": 5060, + "discussions": 13806, + "dise": 4262, + "disease": 5336, + "diseases": 12035, + "disen": 46468, + "disgrace": 29877, + "disgraceful": 44146, + "disgu": 9793, + "disguise": 27803, + "disguised": 37149, + "disgusted": 41977, + "disgusting": 16218, + "dish": 11039, + "dish": 4531, + "disha": 42498, + "dishes": 11412, + "dishon": 30777, + "dishu": 44728, + "dishwasher": 40524, + "disin": 19484, + "disinfe": 48050, + "disintegr": 49275, + "disk": 17970, + "dislike": 30796, + "dism": 30836, + "dism": 38821, + "dismant": 36557, + "dismiss": 43287, + "dismissal": 42068, + "dismissed": 30087, + "dismisses": 45238, + "disney": 6729, + "disney": 4696, + "disneyland": 39481, + "disneyland": 13661, + "disneyworld": 28469, + "diso": 26305, + "disobe": 42841, + "dison": 19310, + "disorder": 12635, + "disorders": 17114, + "disp": 11073, + "dispar": 24633, + "disparities": 45122, + "dispat": 28652, + "dispatch": 26306, + "dispen": 19077, + "dispenser": 40116, + "disper": 34499, + "displa": 9326, + "displac": 17718, + "displaced": 22817, + "displacement": 37931, + "display": 4456, + "displayed": 18967, + "displaying": 26468, + "displays": 15648, + "dispo": 13651, + "dispon": 38872, + "disponible": 46130, + "dispos": 45177, + "disposable": 37275, + "disposal": 28231, + "dispro": 32927, + "dispropor": 40354, + "disproportion": 45492, + "disregard": 43869, + "disrespect": 34055, + "disrespectful": 41723, + "disru": 13763, + "disrup": 14641, + "disrupt": 25214, + "disrupted": 46674, + "disrupting": 42419, + "disruption": 19635, + "disruptive": 31554, + "diss": 10766, + "diss": 35688, + "dissec": 43879, + "dissemin": 40463, + "dissent": 45154, + "disser": 25560, + "dissertation": 29448, + "dissi": 25088, + "dissol": 27398, + "dissuper": 33461, + "dist": 5479, + "dist": 12116, + "distance": 7964, + "distances": 37078, + "distant": 18949, + "distill": 41586, + "distilled": 49179, + "distillery": 22200, + "distin": 11892, + "distinct": 25056, + "distinction": 28183, + "distinctive": 25486, + "distingui": 15053, + "distinguish": 45418, + "distinguished": 16513, + "distor": 23781, + "distortion": 43690, + "distr": 11885, + "distract": 39309, + "distracted": 24049, + "distraction": 32039, + "distress": 26866, + "distressed": 37515, + "distri": 5987, + "distribu": 6138, + "distribute": 32313, + "distributed": 16419, + "distributing": 35216, + "distribution": 10484, + "distributor": 28354, + "distributors": 44240, + "distric": 3208, + "district": 46683, + "district": 3506, + "districts": 17565, + "distur": 11732, + "disturb": 33018, + "disturb": 39449, + "disturbance": 42416, + "disturbed": 29967, + "disturbing": 21476, + "disupdates": 45667, + "dit": 5752, + "dit": 2524, + "dita": 47965, + "ditch": 43715, + "ditch": 19291, + "dited": 40392, + "diti": 2363, + "dition": 16452, + "dition": 3015, + "ditional": 4322, + "ditions": 4503, + "dito": 43705, + "dits": 49374, + "dity": 16436, + "dium": 2903, + "div": 5293, + "div": 14869, + "diva": 13605, + "divas": 23534, + "dive": 26042, + "dive": 9058, + "diver": 13119, + "diver": 22094, + "divergence": 48735, + "divergent": 36132, + "divers": 30241, + "divers": 27038, + "diverse": 11464, + "diversi": 24475, + "diversion": 38457, + "diversity": 35634, + "diversity": 6257, + "diverted": 41049, + "dives": 13893, + "divi": 8375, + "divid": 31337, + "divide": 18842, + "divided": 18689, + "dividend": 32067, + "dividends": 45146, + "dividing": 45605, + "divin": 21838, + "divine": 46919, + "divine": 10976, + "diving": 9886, + "divinity": 39754, + "divisi": 39196, + "division": 5378, + "divisional": 40912, + "divisions": 33715, + "divor": 13543, + "divorce": 17060, + "divorced": 39437, + "divya": 47767, + "diwali": 18218, + "dix": 45838, + "dix": 27620, + "dixie": 24484, + "dixit": 28279, + "dixon": 16086, + "diy": 28472, + "diy": 7845, + "diya": 36459, + "diz": 32740, + "dized": 36232, + "dizz": 40239, + "dizzy": 35464, + "dj": 3761, + "dj": 3723, + "djan": 35338, + "django": 46498, + "dji": 35284, + "dji": 28379, + "djing": 36113, + "djo": 19432, + "djoker": 42721, + "djokernole": 42830, + "djokovic": 27944, + "djs": 18117, + "dk": 20702, + "dk": 16196, + "dl": 12558, + "dl": 9373, + "dlc": 19079, + "dle": 11057, + "dle": 3287, + "dled": 23494, + "dler": 40279, + "dles": 7890, + "dless": 14997, + "dley": 12808, + "dling": 18221, + "dly": 3069, + "dm": 19070, + "dm": 4667, + "dma": 42903, + "dman": 18826, + "dmc": 28991, + "dmit": 31607, + "dmitry": 48326, + "dms": 19955, + "dmv": 27508, + "dmx": 45255, + "dn": 11552, + "dn": 7459, + "dna": 8790, + "dnb": 35422, + "dnc": 20237, + "dnd": 11678, + "dnr": 37051, + "dns": 39245, + "dnt": 26795, + "do": 639, + "do": 818, + "doa": 48332, + "dob": 29640, + "doba": 35605, + "dobbs": 43006, + "dobson": 46888, + "doc": 3009, + "doc": 7251, + "doch": 25101, + "dock": 17311, + "dock": 8997, + "docked": 46784, + "docker": 31152, + "docking": 40845, + "docks": 24091, + "docs": 15157, + "doctor": 7872, + "doctor": 5547, + "doctoral": 23649, + "doctorate": 39134, + "doctors": 9705, + "doctorwho": 12996, + "doctr": 28497, + "doctrine": 35612, + "docu": 4433, + "document": 29293, + "document": 15121, + "documentaries": 44209, + "documentary": 7881, + "documentation": 31560, + "documented": 22310, + "documenting": 37876, + "documents": 14105, + "dod": 13847, + "dod": 30187, + "dodd": 36748, + "dodge": 31263, + "dodge": 12093, + "dodgeball": 43244, + "dodger": 31641, + "dodgers": 12422, + "dodgy": 37727, + "doe": 13296, + "does": 2397, + "does": 1897, + "doesn": 2503, + "doesnt": 17937, + "dof": 8277, + "doff": 20193, + "dofficial": 42516, + "dog": 4326, + "dog": 1929, + "dogcelebration": 41819, + "dogday": 27475, + "doge": 42187, + "dogg": 20749, + "doggie": 32237, + "doggo": 42155, + "doggy": 26359, + "doglo": 40733, + "dogre": 40030, + "dogrescue": 44158, + "dogs": 42182, + "dogs": 3255, + "dogsoftwitter": 19415, + "doh": 23581, + "doha": 20908, + "doherty": 31774, + "doi": 36361, + "doin": 15412, + "doing": 37408, + "doing": 1960, + "doit": 32272, + "doit": 28109, + "doj": 25700, + "dojo": 35901, + "dok": 40547, + "dok": 41034, + "doka": 46528, + "dol": 2287, + "dol": 19170, + "dola": 38005, + "dolan": 27200, + "dolby": 42414, + "dolce": 30033, + "dolce": 30661, + "dole": 41040, + "doll": 27031, + "doll": 9286, + "dollar": 35092, + "dollar": 7474, + "dollars": 10669, + "dolls": 15090, + "dolly": 43281, + "dolly": 23821, + "dolom": 37137, + "dolores": 40741, + "dolph": 8900, + "dolph": 22257, + "dolphin": 42963, + "dolphin": 16464, + "dolphins": 14002, + "dom": 2164, + "dom": 1919, + "domain": 15492, + "domaine": 48744, + "domains": 36358, + "dome": 8515, + "dome": 9827, + "domen": 37584, + "domest": 21936, + "domestic": 28189, + "domestic": 9043, + "domin": 4361, + "dominance": 30546, + "dominant": 20565, + "dominate": 21431, + "dominated": 23048, + "dominates": 34043, + "dominating": 29303, + "domination": 30919, + "domingo": 24882, + "dominic": 39007, + "dominic": 19095, + "dominican": 22934, + "dominion": 27155, + "domino": 30752, + "dominos": 39770, + "domo": 44293, + "doms": 30126, + "don": 1067, + "don": 847, + "dona": 26789, + "donal": 42375, + "donald": 5990, + "donald": 4335, + "donaldson": 37783, + "donaldtrump": 6652, + "donat": 36384, + "donate": 6429, + "donated": 8705, + "donates": 26960, + "donating": 12621, + "donation": 7924, + "donations": 9928, + "doncaster": 38008, + "doncaster": 25352, + "doncasterisgreat": 47333, + "done": 5136, + "done": 1700, + "donegal": 24172, + "donesia": 41281, + "donet": 33724, + "donetsk": 33999, + "dong": 26242, + "dong": 31478, + "dongha": 28365, + "donghae": 28945, + "donia": 24014, + "donkey": 21415, + "donkeys": 44644, + "donna": 9158, + "donne": 30897, + "donnein": 38308, + "donneinarte": 40193, + "donnell": 35118, + "donnelly": 39070, + "donnie": 47058, + "donnie": 30609, + "donny": 37291, + "donny": 32887, + "dono": 14840, + "donor": 18013, + "donors": 17887, + "donovan": 21499, + "dons": 22127, + "dont": 8094, + "dont": 4632, + "donut": 18471, + "donuts": 13970, + "doo": 4543, + "doo": 11643, + "doodle": 9388, + "doodled": 41030, + "doodles": 22156, + "doodling": 37548, + "dooley": 47609, + "doom": 23263, + "doom": 14344, + "doomed": 33251, + "doomsday": 41791, + "doon": 36612, + "doop": 33886, + "door": 7188, + "door": 2489, + "doors": 4228, + "doorstep": 19533, + "doorway": 46575, + "dop": 42381, + "dop": 31722, + "dope": 42587, + "dope": 10094, + "doping": 30285, + "dopp": 21774, + "doppelg": 45216, + "doppler": 42540, + "dor": 2766, + "dor": 8695, + "dora": 18104, + "dorado": 32350, + "dorchester": 32656, + "dore": 39423, + "dores": 34323, + "dorf": 17296, + "dori": 49270, + "doria": 43186, + "dorian": 44016, + "doris": 24285, + "dork": 36206, + "dorm": 24263, + "doro": 15498, + "doro": 37389, + "dorothy": 20805, + "dors": 31240, + "dorset": 42109, + "dorset": 16047, + "dorsey": 41607, + "dortmund": 24290, + "dory": 36135, + "dos": 44258, + "dos": 5474, + "dose": 11497, + "doses": 37873, + "dossier": 46042, + "dost": 44222, + "dot": 7473, + "dot": 7004, + "dota": 23085, + "dotcom": 12443, + "dote": 31202, + "dothis": 47864, + "dotnet": 43124, + "dotorg": 46587, + "dots": 19019, + "dotted": 47950, + "dou": 1756, + "dou": 23608, + "doub": 19631, + "double": 13013, + "double": 3200, + "doubled": 24948, + "doubleheader": 34668, + "doubles": 12539, + "doubling": 36850, + "doubt": 37071, + "doubt": 8671, + "doubts": 30894, + "douche": 44292, + "doug": 20271, + "doug": 10758, + "dough": 15785, + "dough": 14983, + "doughnut": 32555, + "doughnuts": 31124, + "dougie": 46317, + "dougla": 9140, + "douglas": 10065, + "douglass": 45692, + "doun": 44785, + "dov": 38856, + "dova": 26551, + "dove": 27511, + "dove": 18281, + "dover": 43019, + "dover": 14683, + "doves": 47067, + "dow": 8022, + "dow": 10688, + "dowell": 27344, + "down": 1833, + "down": 1136, + "downe": 46501, + "downed": 35814, + "downer": 42522, + "downers": 43739, + "downey": 29429, + "downfall": 48702, + "downhill": 27387, + "downing": 28140, + "download": 35076, + "download": 3794, + "downloadable": 49105, + "downloaded": 22961, + "downloading": 30519, + "downloads": 26481, + "downpour": 39034, + "downpours": 40160, + "downs": 10706, + "downside": 41937, + "downstairs": 28174, + "downstream": 43822, + "downtime": 41964, + "downton": 45023, + "downton": 42668, + "downtown": 18230, + "downtown": 5061, + "downward": 37430, + "dowski": 43556, + "dox": 44786, + "dox": 14510, + "doyle": 17728, + "doyou": 27256, + "doz": 31106, + "dozen": 16401, + "dozens": 17883, + "dp": 23820, + "dp": 6465, + "dprint": 46644, + "dprinting": 16194, + "dprk": 47920, + "dps": 34288, + "dq": 28741, + "dr": 1084, + "dr": 1701, + "dra": 1114, + "dra": 7402, + "drac": 20168, + "dracing": 41253, + "dracula": 25405, + "draf": 37426, + "draft": 30624, + "draft": 5198, + "drafted": 19129, + "drafting": 33528, + "drafts": 29194, + "drag": 8452, + "drag": 12463, + "dragged": 27884, + "dragging": 37069, + "dragon": 9187, + "dragon": 5471, + "dragonball": 40959, + "dragoncon": 47802, + "dragonfly": 32824, + "dragons": 10203, + "dragrace": 40762, + "drags": 45368, + "drain": 23347, + "drain": 19467, + "drainage": 25953, + "drained": 44630, + "drains": 43638, + "drainthe": 47337, + "drake": 32504, + "drake": 8958, + "dral": 7503, + "dram": 6937, + "dram": 32170, + "drama": 5055, + "dramas": 33467, + "dramati": 43512, + "dramatic": 11240, + "dramatically": 24495, + "drank": 21712, + "draped": 49113, + "drastic": 43159, + "drastically": 35478, + "drau": 18621, + "draw": 17675, + "draw": 4001, + "drawer": 23219, + "drawers": 38975, + "drawing": 36996, + "drawing": 3610, + "drawings": 13397, + "drawn": 8893, + "draws": 12043, + "dray": 25562, + "drayton": 49044, + "drc": 21434, + "dre": 960, + "dre": 14584, + "dread": 17412, + "dread": 31403, + "dreaded": 47227, + "dreadful": 35846, + "dreality": 48367, + "dream": 4595, + "dream": 2984, + "dreambig": 46495, + "dreamcast": 47226, + "dreamed": 27984, + "dreamer": 25692, + "dreamers": 27194, + "dreaming": 11662, + "dreamliner": 49143, + "dreams": 4405, + "dreamt": 43743, + "dreamteam": 40090, + "dreamy": 23517, + "dred": 10903, + "dredge": 48783, + "dren": 29068, + "dren": 47309, + "drenched": 46378, + "dres": 48852, + "dres": 44697, + "dresden": 34836, + "dress": 12622, + "dress": 2595, + "dressage": 36144, + "dressed": 6559, + "dresser": 26346, + "dresses": 8184, + "dressing": 6348, + "drew": 18792, + "drew": 5281, + "drex": 33985, + "drey": 48271, + "dri": 1203, + "dri": 28833, + "drian": 36870, + "dribb": 42153, + "dric": 23448, + "dridge": 22956, + "drie": 40170, + "dried": 16037, + "drier": 39877, + "dries": 33857, + "drif": 33585, + "drift": 18194, + "drifting": 30276, + "drill": 11626, + "drilled": 46338, + "drilling": 18634, + "drills": 24378, + "drin": 3375, + "drin": 47133, + "drink": 14131, + "drink": 3979, + "drinking": 5778, + "drinklocal": 45998, + "drinks": 6732, + "drip": 24050, + "dripping": 38787, + "dris": 35804, + "drive": 11402, + "drive": 2620, + "driven": 9314, + "driver": 27563, + "driver": 4383, + "driverless": 46769, + "drivers": 7384, + "drives": 11441, + "driveway": 26273, + "driving": 37800, + "driving": 4161, + "drizzle": 28240, + "drm": 39674, + "dro": 1494, + "dro": 12442, + "drogba": 49199, + "droid": 38016, + "drome": 9157, + "dron": 43898, + "dron": 23360, + "drone": 33557, + "drone": 9397, + "drones": 14006, + "droo": 30715, + "drool": 41554, + "drooling": 44360, + "drop": 16407, + "drop": 3387, + "dropbox": 47216, + "dropped": 6792, + "dropping": 8339, + "drops": 6437, + "dros": 47033, + "drou": 38558, + "drought": 13935, + "drove": 13753, + "drow": 21159, + "drown": 28571, + "drowned": 34005, + "drowning": 24618, + "drs": 21257, + "dru": 2275, + "dru": 49048, + "drug": 20601, + "drug": 5600, + "drugs": 8021, + "druid": 40297, + "drum": 13353, + "drum": 8698, + "drummer": 13618, + "drummers": 46191, + "drumming": 35480, + "drummond": 42213, + "drums": 11690, + "drun": 15488, + "drunk": 37398, + "drunk": 8232, + "drunken": 28196, + "drupal": 46481, + "drush": 43009, + "drwho": 48342, + "dry": 13544, + "dry": 4501, + "dryer": 24425, + "drying": 23203, + "ds": 3361, + "ds": 646, + "dsa": 47607, + "dsb": 47168, + "dsb": 14257, + "dsburg": 47237, + "dsc": 37240, + "dsd": 45383, + "dsley": 40740, + "dslr": 33740, + "dsm": 39502, + "dson": 40310, + "dsp": 45291, + "dss": 41580, + "dstv": 35027, + "dt": 13104, + "dt": 7427, + "dthe": 13863, + "dtla": 31885, + "dtm": 42407, + "dts": 46233, + "du": 691, + "du": 3686, + "dua": 25244, + "dual": 39739, + "dual": 5347, + "duane": 38946, + "dub": 14526, + "dub": 13144, + "duba": 5485, + "dubai": 32599, + "dubai": 5985, + "dubbed": 27740, + "dublin": 20707, + "dublin": 6145, + "dubnation": 47329, + "dubois": 48046, + "dubrov": 46709, + "dubrovnik": 48724, + "dubs": 27013, + "dubstep": 38303, + "dubu": 43257, + "duc": 979, + "duc": 36446, + "ducati": 28570, + "ducation": 17197, + "duce": 3660, + "duchess": 21713, + "duck": 12708, + "duck": 6910, + "ducks": 11202, + "duct": 26829, + "dude": 48087, + "dude": 5710, + "dudes": 14449, + "dudley": 27324, + "due": 2887, + "duel": 27143, + "dues": 37646, + "duet": 25457, + "duf": 38713, + "duff": 38071, + "duff": 21934, + "duffy": 23599, + "dug": 22743, + "dug": 21000, + "dugg": 40523, + "duggan": 46169, + "dugout": 36831, + "duh": 26716, + "dui": 29693, + "duk": 14160, + "duke": 18402, + "duke": 7732, + "dukes": 27914, + "dul": 6738, + "dulce": 44872, + "dulil": 32565, + "dulkar": 47980, + "dull": 19433, + "dulu": 28865, + "duluth": 32109, + "dulwich": 47343, + "dum": 13400, + "dum": 11564, + "dumb": 15901, + "dumb": 12464, + "dumbass": 38980, + "dummies": 40899, + "dummy": 34246, + "dump": 12655, + "dump": 17146, + "dumped": 23768, + "dumping": 31707, + "dumplings": 35495, + "dumps": 45804, + "dumpster": 45467, + "dun": 2616, + "dun": 18284, + "dunbar": 41453, + "duncan": 31084, + "duncan": 13502, + "dundal": 38185, + "dundas": 39300, + "dundee": 18619, + "dune": 32833, + "dune": 28208, + "dunedin": 40121, + "dunes": 23526, + "dung": 33712, + "dungeon": 28812, + "dungeon": 22931, + "dungeons": 42572, + "dungeonsand": 34970, + "dungeonsanddragons": 35497, + "dunham": 42501, + "duni": 43454, + "dunk": 17222, + "dunkin": 48022, + "dunkin": 36415, + "dunkirk": 46928, + "dunks": 48977, + "dunlop": 34753, + "dunn": 19185, + "dunne": 38538, + "dunno": 24502, + "duo": 8696, + "dup": 36805, + "dup": 10445, + "duper": 44850, + "duplex": 41186, + "duplic": 28992, + "dupont": 35994, + "dur": 4355, + "dur": 23230, + "dura": 28173, + "dura": 47382, + "durability": 43671, + "durable": 22285, + "duran": 28185, + "durango": 44443, + "durant": 24861, + "duras": 27518, + "duration": 31663, + "durban": 24474, + "dure": 19108, + "durga": 38456, + "durham": 26765, + "durham": 14335, + "during": 1590, + "dus": 9931, + "dusa": 28546, + "dusk": 19708, + "dust": 29723, + "dust": 8349, + "dusted": 38274, + "duster": 46280, + "dustin": 42423, + "dustin": 21235, + "dusting": 41756, + "dusty": 22029, + "dut": 32625, + "dutch": 22277, + "dutch": 7991, + "duter": 21624, + "duterte": 22371, + "duties": 19603, + "dutt": 30081, + "dutton": 42771, + "duty": 6458, + "duval": 42459, + "duvet": 48006, + "dux": 28562, + "dv": 4288, + "dv": 26265, + "dvd": 7170, + "dvds": 36655, + "dvn": 29811, + "dvr": 29210, + "dw": 8455, + "dw": 19997, + "dwar": 13487, + "dwarf": 22643, + "dwayne": 31395, + "dwell": 27549, + "dwell": 18755, + "dwelling": 37098, + "dwight": 22473, + "dwp": 46976, + "dwts": 30220, + "dwyer": 43878, + "dx": 22717, + "dx": 15679, + "dy": 1444, + "dy": 907, + "dyce": 48325, + "dye": 37159, + "dye": 15997, + "dyed": 24906, + "dyer": 29495, + "dyes": 39874, + "dying": 5115, + "dyk": 12142, + "dyke": 32632, + "dylan": 21004, + "dylan": 9900, + "dyn": 44289, + "dyn": 30669, + "dynam": 5735, + "dynamic": 10057, + "dynamics": 14329, + "dynamite": 29003, + "dynamo": 28281, + "dynasty": 14593, + "dyne": 42756, + "dyou": 11484, + "dyour": 22525, + "dys": 11022, + "dys": 38384, + "dysfunction": 36865, + "dysfunctional": 40757, + "dysle": 33681, + "dyslexia": 43199, + "dyson": 34475, + "dyssey": 17435, + "dystop": 28276, + "dystopian": 38915, + "dz": 24421, + "dz": 22913, + "dé": 25466, + "dü": 46948, + "dÃŃ": 46988, + "e": 68, + "e": 324, + "ea": 2150, + "ea": 8100, + "eable": 20693, + "each": 31442, + "each": 2416, + "eachother": 40792, + "ead": 42556, + "ead": 45523, + "eae": 27446, + "eag": 3743, + "eager": 21551, + "eagerly": 30094, + "eagle": 20207, + "eagle": 7517, + "eagles": 6920, + "eal": 48872, + "ealing": 40484, + "eames": 49072, + "eamon": 45954, + "ean": 13327, + "ear": 1055, + "ear": 8373, + "earbuds": 47807, + "eared": 9127, + "earl": 30573, + "earl": 14235, + "earle": 40292, + "earlier": 4297, + "earliest": 22097, + "early": 15840, + "early": 2090, + "earn": 33977, + "earn": 8465, + "earned": 8898, + "earnest": 45422, + "earning": 14550, + "earnings": 15912, + "earns": 16760, + "earp": 35296, + "earphones": 44905, + "earring": 28664, + "earrings": 9136, + "ears": 9861, + "eart": 7086, + "earth": 5184, + "earth": 3475, + "earthand": 34229, + "earthandclouds": 34480, + "earthday": 19481, + "earthquake": 10060, + "earthquakes": 32895, + "earthy": 47139, + "earts": 38824, + "eas": 5740, + "ease": 13574, + "easier": 8817, + "easiest": 26314, + "easily": 8197, + "easing": 44825, + "easport": 42251, + "east": 5022, + "east": 2602, + "eastbound": 28827, + "eastbourne": 38455, + "eastenders": 23545, + "easter": 14783, + "easter": 4811, + "eastern": 34522, + "eastern": 6311, + "eastman": 48280, + "easton": 29619, + "eastside": 42650, + "eastwood": 28270, + "easy": 18308, + "easy": 3176, + "eat": 5418, + "eat": 3384, + "eaten": 16750, + "eater": 24060, + "eaters": 37645, + "eatery": 46559, + "eating": 4371, + "eatlocal": 42868, + "eaton": 28462, + "eats": 13188, + "eau": 17608, + "eazy": 36536, + "eb": 12283, + "eb": 8677, + "eba": 40889, + "ebay": 34412, + "ebay": 4099, + "eber": 34020, + "ebo": 46635, + "ebola": 15864, + "ebon": 22013, + "ebony": 30651, + "ebook": 13122, + "ebooks": 25774, + "ec": 747, + "ec": 10879, + "eca": 18465, + "ecar": 34500, + "ecb": 26205, + "ecc": 33128, + "eccc": 47401, + "eccentric": 43228, + "eccle": 27494, + "ece": 2163, + "eces": 5905, + "ecg": 45983, + "ech": 15797, + "ech": 31147, + "echel": 41233, + "echo": 17366, + "echo": 13989, + "echoes": 32564, + "eci": 31936, + "eck": 25866, + "eck": 15969, + "ecker": 39661, + "ecker": 40890, + "ecla": 47806, + "eclec": 25114, + "eclectic": 28382, + "eclip": 30841, + "eclipse": 11505, + "eclub": 38983, + "eco": 5106, + "eco": 10077, + "ecofriendly": 43412, + "ecol": 22706, + "ecological": 25127, + "ecology": 18578, + "ecommerce": 15529, + "econ": 26755, + "econ": 21158, + "econom": 2768, + "economic": 36649, + "economic": 5259, + "economical": 48782, + "economically": 39406, + "economics": 12625, + "economies": 27136, + "economist": 18836, + "economists": 43701, + "economy": 5644, + "ecor": 28962, + "ecosystem": 15788, + "ecosystems": 28725, + "ecoun": 27924, + "ecr": 48572, + "ecraft": 11439, + "ecs": 23485, + "ecstasy": 47286, + "ecstatic": 36244, + "ect": 25168, + "ecu": 13087, + "ecu": 32919, + "ecuador": 19813, + "ecz": 43530, + "ed": 843, + "ed": 538, + "eda": 10804, + "edad": 44724, + "eday": 39258, + "edc": 21245, + "edchat": 14702, + "edd": 35431, + "eddi": 42930, + "eddie": 22748, + "eddie": 9517, + "eddy": 25959, + "ede": 29632, + "eded": 19555, + "edel": 20460, + "edelman": 48139, + "eden": 23621, + "eden": 13741, + "eder": 16249, + "edes": 36247, + "edfringe": 27402, + "edg": 35955, + "edgar": 33543, + "edgar": 17914, + "edge": 16914, + "edge": 5461, + "edged": 39188, + "edges": 20938, + "edgy": 35393, + "edi": 8750, + "edi": 27148, + "edible": 19795, + "edic": 25184, + "edics": 30641, + "edin": 6524, + "edinburgh": 27574, + "edinburgh": 8068, + "eding": 5742, + "edison": 25846, + "edit": 8239, + "edit": 8013, + "edited": 13945, + "edith": 28597, + "editing": 10178, + "edition": 3062, + "editions": 21664, + "editor": 7661, + "editorial": 12325, + "editors": 19486, + "edits": 24945, + "edm": 37843, + "edm": 13539, + "edmon": 11275, + "edmond": 41581, + "edmonds": 46520, + "edmonton": 37311, + "edmonton": 15058, + "edmun": 36561, + "edmund": 27567, + "edna": 39002, + "edo": 29145, + "edo": 18096, + "edon": 41467, + "edor": 30184, + "edou": 47678, + "edp": 46066, + "eds": 1941, + "edsheeran": 30386, + "edt": 15071, + "edtech": 41825, + "edtech": 15262, + "edu": 11757, + "edu": 11799, + "eduardo": 30604, + "educ": 2200, + "educate": 17563, + "educated": 21447, + "education": 22358, + "education": 2806, + "educational": 10400, + "educator": 19875, + "educators": 15420, + "edwar": 27586, + "edward": 26184, + "edward": 7450, + "edwards": 12627, + "edwin": 48718, + "edwin": 22471, + "edy": 17072, + "edy": 4144, + "ee": 2644, + "ee": 4708, + "eed": 17513, + "eee": 24632, + "eee": 9361, + "eeee": 11696, + "eeee": 17570, + "eeeee": 26938, + "eeeeee": 41407, + "eek": 46591, + "eel": 27462, + "eels": 44416, + "eem": 27236, + "een": 47490, + "een": 21230, + "eer": 35409, + "eer": 31846, + "eera": 36664, + "eerie": 33846, + "ees": 40308, + "eet": 48935, + "eez": 39033, + "ef": 1490, + "ef": 1829, + "efa": 16999, + "eface": 48804, + "efan": 33556, + "efc": 22065, + "efcc": 46087, + "efer": 26199, + "eff": 20548, + "eff": 21715, + "effe": 2808, + "effec": 3943, + "effect": 5436, + "effective": 6837, + "effectively": 17516, + "effectiveness": 26847, + "effects": 7331, + "effic": 36004, + "efficacy": 39937, + "effici": 6670, + "efficiency": 11823, + "efficient": 11334, + "efficiently": 32915, + "effor": 6356, + "effort": 40078, + "effort": 6255, + "effortless": 41639, + "effortlessly": 42320, + "efforts": 6847, + "efish": 35813, + "efl": 27172, + "efron": 48111, + "efs": 7389, + "eg": 8053, + "eg": 14599, + "ega": 41193, + "egan": 42943, + "eger": 46704, + "eger": 22767, + "egg": 13778, + "egg": 5911, + "eggplant": 34906, + "eggs": 7099, + "ego": 34712, + "ego": 14250, + "egos": 43992, + "egre": 27044, + "egret": 42002, + "egy": 5224, + "egyp": 10250, + "egypt": 7267, + "egyptian": 12428, + "eh": 9277, + "eh": 9135, + "eha": 48563, + "ehealth": 48617, + "ehr": 45271, + "ehs": 44648, + "ei": 4006, + "ei": 18264, + "eic": 40251, + "eid": 28038, + "eid": 13979, + "eidmubarak": 46275, + "eiffel": 29720, + "eigh": 13468, + "eight": 7910, + "eighteen": 49316, + "eighth": 21237, + "eighty": 47449, + "eil": 29457, + "eileen": 31468, + "ein": 29944, + "ein": 24524, + "eindhoven": 47172, + "eing": 7702, + "einstein": 20587, + "eira": 47708, + "eis": 13802, + "eisen": 25273, + "eisenhower": 35562, + "either": 6036, + "ej": 19887, + "ej": 25009, + "ejec": 29771, + "ek": 4212, + "ek": 2092, + "el": 544, + "el": 832, + "ela": 11284, + "ela": 3787, + "elab": 38866, + "elabor": 26034, + "elaborate": 33855, + "elaine": 22523, + "elan": 17763, + "elan": 18399, + "eland": 24930, + "eland": 6275, + "elas": 41078, + "elast": 27479, + "elastic": 30282, + "elba": 48598, + "elbow": 21965, + "eld": 5684, + "elder": 11791, + "elder": 14416, + "elderly": 15455, + "elders": 28617, + "eldest": 33503, + "elding": 28223, + "elds": 13466, + "ele": 2084, + "ele": 9766, + "eleague": 36577, + "eleanor": 18604, + "elearning": 29969, + "elec": 1564, + "elec": 38768, + "elect": 15336, + "elected": 8828, + "election": 19312, + "election": 4247, + "electionday": 40540, + "elections": 6949, + "elector": 16465, + "electoral": 19544, + "electr": 3654, + "electra": 48959, + "electri": 23927, + "electric": 19547, + "electric": 5031, + "electrical": 12176, + "electrician": 46422, + "electricity": 10950, + "electrifying": 48843, + "electro": 11648, + "electro": 23244, + "electromagnetic": 46530, + "electron": 33396, + "electronic": 33865, + "electronic": 9273, + "electronica": 43119, + "electronics": 13081, + "eled": 20357, + "elee": 44112, + "eleg": 8075, + "elegance": 19146, + "elegant": 11124, + "elek": 34559, + "elem": 25406, + "element": 14909, + "elementary": 8143, + "elements": 10925, + "elen": 30654, + "elen": 39164, + "elena": 19421, + "eleng": 48180, + "eleph": 7554, + "elephant": 10299, + "elephants": 16871, + "eler": 24646, + "eless": 15244, + "eless": 30837, + "elets": 19400, + "elev": 7921, + "elevate": 26736, + "elevated": 23967, + "elevation": 23826, + "elevator": 19021, + "eleven": 31617, + "eleven": 17795, + "elf": 45961, + "elf": 11924, + "elfie": 39955, + "elg": 28790, + "elgin": 31868, + "eli": 1018, + "eli": 6292, + "elia": 10956, + "elian": 42508, + "elias": 47274, + "elias": 29902, + "elic": 34743, + "elic": 13492, + "elie": 38677, + "elie": 26501, + "elier": 14634, + "elife": 37429, + "elife": 12719, + "eligibility": 34937, + "eligible": 16978, + "elijah": 26065, + "elike": 48913, + "elim": 9296, + "elimin": 11386, + "eliminate": 19655, + "eliminated": 29075, + "eliminating": 36619, + "elimination": 24176, + "elin": 25353, + "elin": 13458, + "eline": 46199, + "eline": 7153, + "eling": 9990, + "elio": 47943, + "elion": 30682, + "elions": 44159, + "eliot": 33326, + "elis": 23411, + "elis": 48021, + "elisa": 25610, + "elisa": 44051, + "elisabeth": 33127, + "elise": 27124, + "elit": 40882, + "elite": 32277, + "elite": 6553, + "elited": 43943, + "elitedangerous": 47138, + "elites": 35975, + "elius": 35623, + "elive": 49338, + "elive": 23505, + "elives": 49174, + "elix": 32926, + "elixir": 42887, + "eliz": 42844, + "eliza": 6132, + "eliza": 29992, + "elizabeth": 22397, + "elizabeth": 7026, + "elk": 34013, + "elk": 21896, + "ell": 826, + "ell": 812, + "ella": 20692, + "ella": 2957, + "elland": 43326, + "ellar": 38443, + "ellas": 37053, + "elle": 12818, + "elle": 4765, + "elled": 13146, + "ellen": 14007, + "ellen": 12312, + "ellenshow": 34812, + "eller": 20927, + "eller": 4465, + "ellers": 19010, + "elles": 24431, + "elli": 3367, + "elli": 6673, + "ellic": 38905, + "ellie": 16769, + "ellier": 44054, + "ellin": 40374, + "elling": 2220, + "ellington": 34477, + "ellini": 43256, + "elliot": 20761, + "elliott": 44456, + "elliott": 13788, + "ellip": 44816, + "ellis": 11553, + "ellison": 32295, + "ello": 2512, + "ellor": 14594, + "ells": 2433, + "ellu": 35560, + "elly": 8041, + "elly": 20355, + "elm": 25199, + "elm": 22082, + "elman": 33622, + "elmer": 45958, + "elmo": 32150, + "elo": 6170, + "elo": 13490, + "elon": 26381, + "elon": 20406, + "elondon": 47377, + "elong": 44363, + "elonmusk": 37076, + "elope": 23367, + "eloqu": 37795, + "elos": 44733, + "elot": 43490, + "elove": 43319, + "elove": 19165, + "elover": 21732, + "elovers": 33946, + "els": 35958, + "els": 1645, + "elsa": 22050, + "else": 18857, + "else": 3344, + "elsewhere": 22906, + "elson": 19624, + "elt": 18692, + "elton": 20758, + "elu": 14208, + "elusive": 28903, + "elves": 29111, + "elvi": 47008, + "elvis": 47359, + "elvis": 14498, + "elxn": 37726, + "ely": 12189, + "ely": 1273, + "elyn": 29691, + "elyn": 18126, + "em": 908, + "em": 2270, + "ema": 7002, + "ema": 11131, + "emabiggest": 23101, + "emabiggestfans": 29587, + "email": 33537, + "email": 4462, + "emailed": 40470, + "emailmarketing": 40188, + "emails": 12871, + "eman": 24416, + "eman": 36868, + "emancip": 42996, + "emanuel": 35232, + "emb": 3692, + "embar": 8266, + "embaras": 48019, + "embark": 33953, + "embarra": 11382, + "embarrass": 27183, + "embarrassed": 28217, + "embarrassing": 19653, + "embarrassment": 41346, + "embassy": 13598, + "embe": 46041, + "embed": 19703, + "embedded": 22046, + "embelli": 32144, + "embellished": 46992, + "ember": 47049, + "emblem": 21163, + "embo": 23065, + "embr": 35267, + "embrac": 16928, + "embrace": 12118, + "embraced": 35739, + "embraces": 38404, + "embracing": 22196, + "embro": 12550, + "embroi": 18667, + "embroide": 21530, + "embroidered": 22381, + "embroidery": 20823, + "emc": 20897, + "emc": 31602, + "emcee": 42038, + "eme": 22910, + "eme": 21548, + "emea": 40352, + "emed": 11028, + "emen": 22033, + "ement": 40841, + "ement": 2057, + "ements": 11058, + "emer": 3132, + "emer": 25727, + "emerald": 46878, + "emerald": 16980, + "emerge": 22182, + "emerged": 26425, + "emergen": 24096, + "emergence": 39867, + "emergencies": 35759, + "emergency": 44038, + "emergency": 5897, + "emerges": 30801, + "emerging": 38174, + "emerging": 11113, + "emeritus": 35333, + "emerson": 24147, + "emery": 32678, + "emi": 44327, + "emi": 18525, + "emil": 26794, + "emil": 40624, + "emile": 43926, + "emili": 20709, + "emilia": 34238, + "emilio": 39722, + "emily": 14545, + "emily": 7640, + "emin": 17227, + "emin": 23995, + "eminem": 22129, + "eminent": 33779, + "eming": 40398, + "emir": 13337, + "emir": 47613, + "emirates": 47244, + "emirates": 17867, + "emission": 27761, + "emissions": 14172, + "emit": 49043, + "emma": 18177, + "emma": 7445, + "emmanuel": 48045, + "emmanuel": 20411, + "emmett": 45779, + "emmy": 35625, + "emmy": 17089, + "emmys": 21875, + "emo": 3738, + "emo": 19381, + "emoji": 16327, + "emojis": 27870, + "emon": 34406, + "emor": 45034, + "emory": 44274, + "emotion": 17464, + "emotional": 7357, + "emotionally": 24088, + "emotions": 12904, + "emp": 3831, + "emp": 41004, + "empathy": 22420, + "emper": 12522, + "emperor": 13828, + "empha": 16237, + "emphasi": 47176, + "emphasis": 29588, + "empire": 26212, + "empire": 7614, + "empires": 46510, + "emplo": 3409, + "employ": 37290, + "employ": 39626, + "employe": 5037, + "employed": 26567, + "employee": 36631, + "employee": 9560, + "employees": 7377, + "employer": 21296, + "employers": 17647, + "employment": 10959, + "empor": 27386, + "emporium": 48541, + "empower": 13612, + "empower": 17230, + "empowered": 29087, + "empowering": 20086, + "empowerment": 15747, + "empowers": 46206, + "empress": 26656, + "empty": 41203, + "empty": 7893, + "emra": 39259, + "ems": 2858, + "emt": 46360, + "emu": 48149, + "emu": 29296, + "emul": 23272, + "emy": 31076, + "en": 524, + "en": 576, + "ena": 3452, + "enab": 17308, + "enable": 15642, + "enabled": 23666, + "enables": 23417, + "enabling": 23590, + "enam": 41486, + "enamel": 22746, + "enary": 13132, + "enas": 34536, + "enation": 20860, + "enberg": 15658, + "enburg": 28430, + "enc": 33169, + "enca": 37774, + "encan": 30345, + "encapsul": 40874, + "ence": 6495, + "ence": 954, + "enced": 6549, + "ences": 3777, + "enchan": 17290, + "enchanted": 28258, + "enchanting": 32531, + "enchil": 47396, + "enci": 32207, + "encia": 30068, + "encies": 18729, + "encing": 10326, + "enclosed": 43243, + "enclosure": 37419, + "encom": 44026, + "encore": 20549, + "encoun": 17309, + "encounter": 13164, + "encountered": 32492, + "encounters": 25399, + "encoura": 6169, + "encourage": 12090, + "encouraged": 20299, + "encouragement": 24959, + "encourages": 23848, + "encouraging": 15875, + "encro": 45822, + "encry": 28600, + "encryp": 42928, + "encrypted": 48710, + "encryption": 31423, + "ency": 3484, + "encyclo": 32104, + "encyclopedia": 38376, + "end": 945, + "end": 806, + "enda": 6735, + "endale": 20290, + "endange": 13990, + "endangered": 14931, + "ende": 11373, + "ende": 40306, + "endeav": 18134, + "endeavor": 40502, + "endeavors": 44394, + "endeavour": 38035, + "ended": 2622, + "endemic": 41241, + "endent": 16265, + "ender": 48106, + "ender": 12383, + "enders": 7418, + "endez": 43850, + "endgame": 23042, + "endi": 31359, + "ending": 2695, + "endings": 36516, + "endish": 38841, + "endless": 12688, + "endlessly": 45145, + "endment": 45894, + "endo": 13476, + "endo": 15830, + "endocr": 36486, + "endof": 40786, + "endome": 46996, + "endon": 48018, + "endor": 8092, + "endorf": 37249, + "endorse": 28819, + "endorsed": 24307, + "endorsement": 21205, + "endorses": 34603, + "endorsing": 46779, + "endow": 45895, + "endra": 22321, + "ends": 1339, + "endthe": 46256, + "endu": 26032, + "endur": 19557, + "endurance": 21027, + "endure": 32419, + "enduring": 30851, + "enduro": 47042, + "ene": 3297, + "ene": 6049, + "ened": 2494, + "eneed": 45137, + "enegger": 33235, + "enei": 48906, + "enemies": 15824, + "enemy": 10310, + "enen": 45113, + "ener": 2244, + "ener": 13600, + "energ": 39451, + "energetic": 24197, + "energi": 23044, + "energies": 42374, + "energized": 48635, + "energy": 14974, + "energy": 2650, + "energye": 32271, + "energyefficiency": 40586, + "eners": 48208, + "enes": 42066, + "eness": 11806, + "enet": 46336, + "enew": 29672, + "enews": 13442, + "eney": 20706, + "enez": 33110, + "enf": 38167, + "enfield": 27808, + "enfor": 10592, + "enforce": 40224, + "enforced": 44597, + "enforcement": 12460, + "eng": 1035, + "eng": 6730, + "enga": 22297, + "engag": 6793, + "engage": 11089, + "engaged": 11475, + "engagement": 7281, + "engaging": 13060, + "enge": 26279, + "enge": 2742, + "engel": 38265, + "engen": 48286, + "enger": 6618, + "engers": 7533, + "engine": 3355, + "engine": 5857, + "engineer": 40151, + "engineer": 8517, + "engineered": 26580, + "engineering": 5273, + "engineers": 11494, + "engines": 14487, + "england": 20904, + "england": 3595, + "english": 15942, + "english": 3469, + "engra": 17560, + "engraved": 29421, + "engraving": 33309, + "engul": 43655, + "engv": 28401, + "enh": 7449, + "enhall": 48781, + "enham": 24592, + "enhan": 26827, + "enhance": 13993, + "enhanced": 16070, + "enhancement": 35601, + "enhances": 38259, + "enhancing": 25986, + "eni": 4395, + "eni": 17538, + "enic": 46780, + "enic": 28292, + "enig": 19754, + "enig": 48730, + "enight": 32848, + "enight": 20640, + "enigma": 34998, + "ening": 1133, + "enium": 34380, + "enix": 25720, + "enjo": 1498, + "enjoy": 12981, + "enjoy": 2218, + "enjoyable": 17444, + "enjoyed": 5045, + "enjoying": 3603, + "enjoyment": 34905, + "enjoys": 17024, + "enka": 43942, + "enko": 25312, + "enlar": 38136, + "enligh": 21364, + "enlighten": 28200, + "enlightened": 44032, + "enlightening": 44005, + "enlightenment": 29255, + "enlisted": 43555, + "enly": 43023, + "enn": 43563, + "enna": 8095, + "enne": 21176, + "enne": 11518, + "ennedy": 46266, + "ennes": 43613, + "enni": 7049, + "ennial": 14220, + "ennis": 48923, + "ennis": 26309, + "eno": 9429, + "eno": 12843, + "enoch": 47917, + "enor": 13955, + "enormous": 20129, + "enos": 44759, + "enote": 44955, + "enough": 2744, + "enow": 26876, + "enqu": 28417, + "enqui": 22810, + "enquire": 46658, + "enquiries": 31901, + "enquiry": 45141, + "enri": 18915, + "enrich": 20058, + "enrich": 45504, + "enriched": 45166, + "enrichment": 32903, + "enrique": 25489, + "enrol": 44279, + "enroll": 23739, + "enroll": 30366, + "enrolled": 36853, + "enrollment": 24875, + "enroute": 40548, + "ens": 41799, + "ens": 1323, + "ense": 12657, + "ense": 27658, + "ensemble": 14843, + "ensis": 32842, + "ensla": 37535, + "enslaved": 48675, + "ensure": 7492, + "ensures": 29707, + "ensuring": 19403, + "ent": 724, + "ent": 621, + "enta": 17681, + "ental": 32342, + "ental": 6168, + "entary": 9833, + "entation": 37412, + "ente": 17433, + "ente": 9935, + "ented": 3800, + "entennial": 43088, + "enter": 2963, + "enter": 3819, + "entered": 10679, + "entering": 12580, + "enterpri": 7339, + "enterprise": 9220, + "enterprises": 21219, + "enters": 15287, + "entertain": 5566, + "entertain": 23510, + "entertained": 30631, + "entertainer": 28674, + "entertaining": 13897, + "entertainment": 6166, + "entes": 24213, + "enthr": 36202, + "enthusi": 9631, + "enthusiasm": 20525, + "enthusiast": 27153, + "enthusiastic": 22068, + "enthusiasts": 27514, + "enti": 1938, + "ential": 5194, + "entially": 37695, + "entic": 10340, + "entine": 49212, + "enting": 20526, + "entire": 4709, + "entirely": 13911, + "entirety": 43242, + "entit": 15209, + "entities": 38134, + "entitled": 18680, + "entity": 28455, + "ently": 2922, + "ento": 21917, + "ento": 8762, + "entom": 31676, + "entourage": 47893, + "entr": 7129, + "entrance": 9129, + "entrata": 27304, + "entre": 34188, + "entre": 19600, + "entren": 46959, + "entrepre": 4583, + "entreprene": 4789, + "entrepreneu": 26784, + "entrepreneur": 12119, + "entrepreneur": 8033, + "entrepreneurial": 28261, + "entrepreneurs": 11054, + "entrepreneurship": 12858, + "entries": 13766, + "entry": 5362, + "ents": 870, + "entu": 6650, + "enty": 5657, + "enu": 23430, + "env": 32280, + "env": 39207, + "envel": 20052, + "envelope": 27358, + "envir": 3512, + "enviro": 46200, + "environ": 3599, + "environment": 33039, + "environment": 5501, + "environmental": 7831, + "environmentally": 32855, + "environments": 19577, + "envision": 49031, + "envoy": 29263, + "envy": 21017, + "eny": 20482, + "enya": 36509, + "enyc": 39520, + "enz": 25805, + "enz": 31873, + "enza": 25239, + "enzie": 14839, + "enzo": 31543, + "enzyme": 40348, + "enzymes": 47465, + "eo": 16054, + "eo": 11712, + "eoin": 48634, + "eon": 31915, + "eos": 17805, + "ep": 1178, + "ep": 1117, + "epa": 15866, + "epage": 26931, + "epaper": 33584, + "epcot": 32524, + "eper": 43071, + "eph": 45752, + "eph": 41240, + "ephe": 25129, + "epi": 7219, + "epi": 34641, + "epic": 12683, + "epic": 4991, + "epiconetsy": 49222, + "epide": 17382, + "epidemi": 44447, + "epidemic": 21522, + "epile": 23150, + "epilepsy": 29547, + "epilo": 31291, + "epilots": 39766, + "epiph": 40561, + "epiphany": 43251, + "epis": 24616, + "episcop": 28037, + "episcopal": 31221, + "episo": 2708, + "episode": 2965, + "episodes": 11837, + "epit": 21967, + "epitome": 35114, + "epl": 25950, + "epo": 25810, + "epp": 39054, + "epp": 39593, + "eps": 4090, + "epsilon": 40019, + "epsom": 40364, + "epstein": 34688, + "eq": 39331, + "eq": 33692, + "equ": 2563, + "equal": 17373, + "equal": 10433, + "equality": 48981, + "equality": 9578, + "equally": 18172, + "equals": 30278, + "equation": 28591, + "equations": 38225, + "eque": 19518, + "equestrian": 24728, + "equi": 8752, + "equili": 43262, + "equine": 33801, + "equinox": 32652, + "equip": 6526, + "equip": 36979, + "equipment": 6893, + "equipo": 45688, + "equipped": 18331, + "equitable": 44717, + "equities": 44015, + "equity": 11293, + "equivalent": 19489, + "er": 517, + "er": 528, + "era": 30548, + "era": 2072, + "erable": 18801, + "erad": 24194, + "eradic": 36346, + "eradicate": 46164, + "eral": 6222, + "eran": 13069, + "eras": 19325, + "eras": 39090, + "erase": 33893, + "erased": 46762, + "erasmus": 38935, + "erc": 5360, + "erc": 32382, + "erd": 25645, + "erdo": 21112, + "erdogan": 24453, + "ere": 17907, + "ere": 642, + "erec": 21526, + "erected": 39365, + "ered": 9097, + "eres": 15751, + "ergon": 38120, + "ergy": 19550, + "eri": 2769, + "eri": 9509, + "eria": 11634, + "erial": 5409, + "eric": 1206, + "eric": 5396, + "erica": 13208, + "erich": 26070, + "erick": 27434, + "erick": 36959, + "erickson": 45286, + "ericsson": 39645, + "eridge": 45408, + "erie": 7005, + "eries": 9099, + "erik": 22805, + "erik": 16532, + "erika": 25531, + "erin": 17532, + "erin": 11333, + "erina": 25176, + "ering": 1785, + "erit": 23335, + "eritrea": 30738, + "erjee": 41665, + "erly": 14380, + "erm": 31649, + "erman": 17990, + "ern": 6992, + "ern": 12140, + "ernal": 20868, + "ernan": 34617, + "ernation": 48796, + "erne": 33930, + "ernest": 23006, + "ernie": 23636, + "ernity": 14653, + "erno": 40812, + "ernst": 30099, + "ero": 3211, + "ero": 3732, + "erock": 38206, + "eron": 32837, + "eroom": 46690, + "eros": 30597, + "erose": 48657, + "erosion": 30174, + "erotic": 30708, + "erotica": 39126, + "erous": 6384, + "eroy": 36461, + "erp": 28268, + "err": 22479, + "err": 25346, + "erra": 48446, + "errands": 45485, + "error": 12097, + "errors": 21195, + "erry": 45236, + "erry": 24124, + "ers": 4840, + "ers": 612, + "ersfc": 37925, + "ership": 2884, + "erson": 25780, + "erson": 6811, + "ert": 40325, + "ert": 3112, + "erta": 32007, + "erton": 26245, + "erts": 12921, + "eru": 36068, + "erun": 41642, + "erup": 17093, + "erupted": 48862, + "eruption": 33705, + "erville": 37557, + "erwin": 43724, + "ery": 12467, + "ery": 1692, + "erz": 38711, + "es": 957, + "es": 542, + "esa": 46834, + "esa": 12489, + "esanders": 23099, + "esc": 3330, + "esc": 28420, + "escal": 15902, + "escap": 11499, + "escape": 32484, + "escape": 7568, + "escaped": 18707, + "escapes": 29916, + "escaping": 21767, + "escar": 39229, + "escence": 37972, + "esch": 46760, + "esch": 41945, + "esco": 32482, + "escobar": 48807, + "escor": 24360, + "escort": 24976, + "escorted": 47667, + "escorts": 48574, + "escu": 36517, + "esday": 19553, + "ese": 18766, + "ese": 2260, + "esg": 41674, + "esh": 17119, + "esh": 13407, + "esha": 28799, + "eshop": 38451, + "eshop": 45570, + "eshopsuk": 39349, + "esi": 30064, + "esis": 12414, + "esk": 19359, + "esl": 26201, + "eso": 29890, + "eso": 28921, + "esof": 17047, + "eson": 46845, + "esp": 3849, + "esp": 13870, + "espa": 37301, + "espan": 41731, + "españa": 41118, + "especially": 4878, + "esper": 29216, + "espino": 46633, + "espionage": 43498, + "espn": 22917, + "espn": 7540, + "espnu": 47747, + "espo": 34381, + "esports": 16035, + "espresso": 17098, + "esq": 47352, + "esqu": 34616, + "esque": 25877, + "ess": 3118, + "ess": 9764, + "essa": 39125, + "essay": 12751, + "essays": 27328, + "esse": 22305, + "essen": 30489, + "essence": 17830, + "essenti": 11163, + "essential": 47264, + "essential": 6895, + "essentially": 30042, + "essentials": 16191, + "essex": 30563, + "essex": 11623, + "est": 2291, + "est": 1509, + "esta": 41449, + "esta": 10135, + "estab": 7010, + "establi": 8412, + "establish": 19709, + "established": 13143, + "establishing": 29420, + "establishment": 20213, + "estas": 39072, + "estate": 47130, + "estate": 6159, + "estates": 26054, + "este": 12968, + "este": 20579, + "esteban": 48381, + "esteem": 31541, + "esteemed": 36293, + "ester": 45808, + "esthe": 18468, + "esther": 24393, + "estim": 8904, + "estimate": 21883, + "estimated": 16665, + "estimates": 21957, + "esto": 31589, + "esto": 23958, + "estonia": 26260, + "estonian": 48895, + "estrada": 48116, + "estre": 31271, + "estu": 26272, + "estuary": 35269, + "esur": 35758, + "esville": 39187, + "esy": 46268, + "et": 1169, + "et": 875, + "eta": 8761, + "etal": 25221, + "etary": 13074, + "etc": 5353, + "etched": 40411, + "etching": 41375, + "ete": 38820, + "ete": 40245, + "eter": 8587, + "eter": 17007, + "eternal": 13732, + "eternally": 48486, + "eternity": 23832, + "eters": 18392, + "etf": 31661, + "eth": 4819, + "eth": 5927, + "ethan": 24245, + "ethan": 15958, + "ethanol": 38166, + "ethe": 21312, + "ethel": 45921, + "ether": 23349, + "ethere": 18705, + "ethereal": 40925, + "ethereum": 19612, + "ethernet": 35026, + "ethi": 10327, + "ethic": 39104, + "ethical": 47041, + "ethical": 17679, + "ethics": 13355, + "ethiop": 10897, + "ethiopia": 13920, + "ethiopian": 24507, + "ethnic": 30522, + "ethnic": 16344, + "ethnicity": 46787, + "ethno": 34225, + "ethos": 48768, + "eti": 11188, + "eti": 30394, + "etienne": 46118, + "eties": 15137, + "etihad": 38489, + "etiquette": 37957, + "etis": 38216, + "etisation": 39733, + "etna": 41940, + "eto": 27829, + "eto": 33837, + "eton": 44339, + "etour": 41462, + "etr": 23012, + "etres": 42838, + "ets": 3442, + "etsy": 13237, + "etsy": 6282, + "etsym": 22902, + "etsymntt": 25416, + "etsyshop": 44643, + "ett": 32729, + "ett": 24998, + "etta": 30466, + "ette": 19981, + "ette": 5212, + "ettes": 35326, + "etto": 44219, + "etty": 40759, + "etu": 36593, + "etv": 49155, + "etv": 20325, + "etwork": 20585, + "ety": 25920, + "ety": 2746, + "etz": 36181, + "etz": 25301, + "eu": 1506, + "eu": 3238, + "eucalyp": 41068, + "eucalyptus": 42351, + "euchar": 38362, + "eugen": 30678, + "eugene": 17760, + "eul": 46749, + "eun": 16431, + "eun": 26219, + "eunhyuk": 47526, + "eup": 44435, + "euph": 21386, + "euphoria": 41051, + "eur": 18343, + "eur": 12018, + "eura": 32605, + "eure": 25311, + "euref": 48017, + "eureka": 31686, + "euro": 2039, + "euro": 8463, + "euroleague": 46821, + "europa": 18290, + "europale": 42473, + "europaleague": 44029, + "europarl": 44922, + "europe": 4198, + "europe": 3848, + "european": 26712, + "european": 4759, + "europeans": 37082, + "euros": 22274, + "eurovision": 17593, + "eurozone": 42555, + "eurusd": 40895, + "eus": 44214, + "euston": 46905, + "euthan": 43280, + "euve": 40652, + "eux": 25019, + "ev": 776, + "ev": 10133, + "eva": 6845, + "evacu": 13187, + "evacuated": 26806, + "evacuation": 27353, + "eval": 25139, + "eval": 9703, + "evalu": 10314, + "evaluate": 27174, + "evaluating": 34541, + "evaluation": 17640, + "evan": 12821, + "evan": 12847, + "evangel": 20518, + "evangeli": 21372, + "evangelical": 36151, + "evangelist": 42275, + "evankirstel": 46581, + "evans": 8836, + "evansville": 44782, + "evapor": 33352, + "evasion": 48795, + "eve": 5732, + "eve": 1866, + "eved": 19820, + "evel": 39315, + "evelyn": 26687, + "evement": 8210, + "even": 6359, + "even": 1427, + "evening": 34487, + "evening": 2285, + "evenings": 19994, + "evenly": 45974, + "event": 10612, + "event": 1655, + "eventful": 45628, + "evento": 38155, + "eventprofs": 24980, + "events": 3667, + "eventu": 14055, + "eventual": 45321, + "eventually": 14397, + "ever": 888, + "ever": 1247, + "everest": 21722, + "everett": 25456, + "everglades": 46294, + "evergreen": 23852, + "everlasting": 32849, + "evers": 31914, + "everton": 13315, + "every": 1091, + "every": 1505, + "everybody": 5901, + "everyday": 25049, + "everyday": 5160, + "everyone": 1584, + "everything": 36376, + "everything": 2410, + "everytime": 16911, + "everywhere": 6364, + "eves": 7323, + "evi": 5348, + "evi": 36989, + "evic": 21336, + "eviction": 37111, + "eviden": 46220, + "evidence": 6439, + "evident": 34529, + "evie": 47195, + "evil": 23218, + "evil": 6006, + "eville": 16143, + "eving": 24729, + "evo": 17962, + "evo": 13169, + "evoc": 43133, + "evol": 5350, + "evolu": 7725, + "evolution": 8902, + "evolutionary": 30629, + "evolve": 23406, + "evolved": 22613, + "evolving": 23675, + "evp": 46154, + "evs": 33576, + "ew": 11942, + "ew": 15428, + "ewan": 40247, + "ewe": 48438, + "ewing": 38873, + "ews": 9878, + "ex": 659, + "ex": 4118, + "exac": 5460, + "exact": 12651, + "exactly": 5840, + "exagger": 29766, + "exal": 49324, + "exam": 4428, + "exam": 8785, + "examination": 20970, + "examine": 25728, + "examined": 44004, + "examiner": 29149, + "examines": 28160, + "examining": 30616, + "example": 6228, + "examples": 14790, + "exams": 14028, + "exas": 47536, + "exc": 1302, + "excav": 20733, + "excavation": 45909, + "exce": 10999, + "exceed": 32521, + "exceeded": 36221, + "exceeding": 47213, + "exceeds": 49353, + "excel": 28351, + "excel": 18754, + "excell": 3298, + "excellence": 8171, + "excellency": 36503, + "excellent": 4239, + "excelsi": 47315, + "excep": 8882, + "except": 8541, + "exception": 25018, + "exceptional": 13425, + "exceptionally": 29306, + "excer": 17737, + "excerpt": 20586, + "excess": 22491, + "excessive": 21332, + "exchange": 6616, + "exchanged": 48919, + "exchanges": 29730, + "exchanging": 47760, + "excit": 10510, + "excite": 47711, + "excited": 1889, + "excitement": 11407, + "exciting": 4300, + "exclu": 3114, + "exclude": 49235, + "excluded": 46216, + "excluding": 44326, + "exclusion": 40219, + "exclusive": 3747, + "exclusively": 13565, + "exclusives": 47149, + "excu": 7324, + "excur": 27533, + "excursion": 34869, + "excuse": 9266, + "excuses": 19388, + "exe": 3554, + "exe": 48027, + "exec": 15052, + "execs": 35728, + "execu": 4360, + "execute": 36405, + "executed": 20432, + "execution": 18085, + "executive": 5944, + "executives": 24357, + "exem": 19753, + "exemp": 28602, + "exempl": 36371, + "exemplary": 39123, + "exempli": 41934, + "exempt": 44278, + "exemption": 47481, + "exer": 40295, + "exerc": 5932, + "exercise": 7016, + "exercises": 19669, + "exercising": 39036, + "exeter": 32137, + "exeter": 18837, + "exfoli": 38823, + "exhau": 11154, + "exhaust": 21812, + "exhausted": 21741, + "exhausting": 40035, + "exhaustion": 49221, + "exhi": 3022, + "exhib": 3783, + "exhibit": 24992, + "exhibit": 8209, + "exhibiting": 23889, + "exhibition": 4219, + "exhibitions": 28311, + "exhibitor": 44192, + "exhibitors": 38542, + "exhibits": 30093, + "exhilar": 40262, + "exhilarating": 49289, + "exi": 5297, + "exico": 38712, + "exile": 28566, + "exist": 10899, + "exist": 9645, + "existed": 23198, + "existence": 13832, + "existent": 43541, + "existential": 38752, + "existing": 12886, + "exists": 14608, + "exit": 9374, + "exited": 37581, + "exiting": 39577, + "exits": 34943, + "exmoor": 48260, + "exo": 15600, + "exo": 5842, + "exodus": 30098, + "exol": 42856, + "exop": 35288, + "exoplan": 37980, + "exor": 24506, + "exorcist": 46309, + "exotic": 15639, + "exp": 9923, + "exp": 19066, + "expan": 7512, + "expand": 10382, + "expand": 13141, + "expanded": 18390, + "expanding": 15755, + "expands": 22223, + "expanse": 46886, + "expansion": 10138, + "expansive": 49261, + "expat": 43900, + "expe": 2560, + "expect": 9802, + "expect": 5716, + "expectation": 34273, + "expectations": 12529, + "expected": 5573, + "expecting": 12525, + "expects": 24536, + "expedition": 16761, + "expeditions": 49327, + "expelled": 48834, + "expen": 7216, + "expend": 29302, + "expenditure": 47044, + "expense": 28473, + "expenses": 21797, + "expensive": 9649, + "exper": 1533, + "experi": 4723, + "experience": 31867, + "experience": 2415, + "experienced": 10417, + "experiences": 8233, + "experiencing": 16643, + "experiential": 44952, + "experim": 6697, + "experiment": 13079, + "experimental": 16539, + "experimenting": 28263, + "experiments": 21077, + "expert": 6284, + "expertise": 16555, + "experts": 6960, + "expi": 26850, + "expir": 35077, + "expire": 49315, + "expired": 30200, + "expires": 34739, + "expl": 3261, + "expla": 3517, + "explain": 48918, + "explain": 7304, + "explained": 14229, + "explaining": 13136, + "explains": 6655, + "explan": 13294, + "explanation": 16577, + "explanations": 34383, + "explic": 21011, + "explicit": 33228, + "explo": 3586, + "explode": 31262, + "exploded": 28947, + "explodes": 38119, + "exploding": 34683, + "exploit": 36953, + "exploited": 48554, + "explor": 11958, + "exploration": 14043, + "explore": 10405, + "explore": 5147, + "explorebc": 38754, + "explorecanada": 36600, + "explored": 25016, + "explorer": 15776, + "explorers": 28491, + "explores": 13996, + "exploring": 7584, + "explosion": 13785, + "explosions": 38646, + "explosive": 18888, + "explosives": 44705, + "expo": 7820, + "expo": 6344, + "expon": 27905, + "export": 14444, + "exporting": 47433, + "exports": 20088, + "expose": 23181, + "exposed": 12180, + "exposes": 33575, + "exposing": 28362, + "exposition": 36943, + "exposure": 11903, + "expre": 6085, + "express": 18553, + "express": 5642, + "expressed": 20777, + "expresses": 31931, + "expressing": 30207, + "expression": 11357, + "expressions": 20314, + "expressive": 42060, + "expressway": 31658, + "exquis": 16575, + "exquisite": 17958, + "ext": 5711, + "ext": 20072, + "exten": 5555, + "extend": 14492, + "extended": 9614, + "extending": 25652, + "extends": 20688, + "extension": 10275, + "extensions": 24525, + "extensive": 16870, + "extensively": 47365, + "extent": 24913, + "exter": 9797, + "exterior": 19352, + "extermin": 41671, + "external": 15028, + "extin": 13553, + "extinct": 24488, + "extinction": 21186, + "extingui": 38567, + "extor": 35620, + "extr": 29082, + "extra": 6416, + "extra": 4231, + "extrac": 18550, + "extract": 18962, + "extraction": 28789, + "extracts": 45576, + "extraordin": 23628, + "extraordinaire": 30909, + "extraordinary": 10982, + "extras": 29817, + "extravag": 22299, + "extravaganza": 29461, + "extre": 3978, + "extreme": 38357, + "extreme": 8331, + "extremely": 6519, + "extremism": 31493, + "extremist": 36383, + "extremists": 41425, + "extru": 43010, + "ey": 1541, + "ey": 1477, + "eyang": 28915, + "eye": 5034, + "eye": 3272, + "eyebrow": 34250, + "eyebrows": 19923, + "eyed": 15512, + "eyeing": 34916, + "eyel": 17075, + "eyelashes": 42074, + "eyeliner": 33354, + "eyeon": 25126, + "eyes": 3095, + "eyeshadow": 35213, + "eyewear": 30165, + "eyewitness": 36258, + "eyou": 31996, + "eyour": 40229, + "eyre": 44115, + "ez": 10082, + "ez": 8387, + "eze": 25993, + "eze": 27229, + "ezekiel": 41428, + "ezra": 27552, + "f": 69, + "f": 325, + "fa": 778, + "fa": 2800, + "faa": 27577, + "fab": 2833, + "fab": 5492, + "faber": 43461, + "faber": 42488, + "fabi": 29425, + "fabian": 34539, + "fabio": 31666, + "fabric": 16217, + "fabric": 10033, + "fabricated": 40851, + "fabrication": 33476, + "fabrics": 23159, + "fabulous": 5189, + "fac": 1053, + "fac": 35438, + "facade": 29217, + "face": 2545, + "face": 1710, + "facebook": 36156, + "facebook": 2943, + "faced": 10941, + "faceli": 32023, + "facelift": 36380, + "faceoff": 42710, + "facep": 45285, + "faces": 4905, + "faceted": 43435, + "facetime": 24076, + "facial": 11909, + "facil": 39973, + "facilit": 13567, + "facilitate": 26733, + "facilitated": 43853, + "facilitating": 34796, + "facilities": 10388, + "facility": 8165, + "facing": 7619, + "fact": 17189, + "fact": 3598, + "factfriday": 27953, + "faction": 14629, + "factor": 21082, + "factor": 8124, + "factories": 36492, + "factors": 12733, + "factory": 42483, + "factory": 6072, + "facts": 5085, + "factual": 45471, + "faculty": 9504, + "facup": 25283, + "fad": 12632, + "fad": 47669, + "fade": 20486, + "faded": 26051, + "fades": 40441, + "fading": 32882, + "fadnavis": 38945, + "faf": 31052, + "faf": 43903, + "fag": 25617, + "fag": 39305, + "fah": 25495, + "fah": 35429, + "fahren": 45527, + "fai": 20519, + "fai": 26384, + "fail": 7105, + "fail": 6801, + "failed": 8314, + "failing": 15757, + "fails": 13388, + "failure": 8732, + "failures": 25442, + "faint": 30807, + "fair": 3031, + "fair": 2849, + "fairbanks": 43962, + "faire": 34745, + "faire": 20798, + "fairfax": 29368, + "fairfield": 29664, + "fairgrounds": 38325, + "fairi": 28884, + "fairies": 33590, + "fairly": 14961, + "fairmont": 41547, + "fairness": 29388, + "fairs": 8655, + "fairtrade": 33361, + "fairview": 43479, + "fairway": 44022, + "fairy": 17021, + "fairy": 10444, + "fairytale": 28944, + "fais": 23542, + "faisal": 35459, + "fait": 20567, + "faith": 10653, + "faith": 5080, + "faithful": 15511, + "faiz": 41775, + "fake": 18794, + "fake": 5777, + "faken": 22853, + "fakenews": 26943, + "fakespeare": 49095, + "fal": 2778, + "fal": 40494, + "fala": 47120, + "falcon": 22498, + "falcon": 13571, + "falcons": 13834, + "falk": 34648, + "falkirk": 44080, + "fall": 6489, + "fall": 2359, + "fallen": 8688, + "falling": 48709, + "falling": 7293, + "fallon": 39596, + "fallon": 21281, + "fallontonight": 44627, + "fallout": 49365, + "fallout": 16009, + "falls": 4778, + "falmouth": 38261, + "false": 38948, + "false": 9078, + "falsely": 42321, + "fam": 1058, + "fam": 5128, + "fame": 6573, + "famed": 23302, + "famer": 24554, + "famil": 3395, + "famili": 8488, + "familia": 25622, + "familiar": 10020, + "families": 4612, + "family": 8137, + "family": 1315, + "familyfun": 46308, + "familytime": 47236, + "familytravel": 38222, + "famine": 35847, + "famous": 44811, + "famous": 4096, + "famously": 44505, + "fan": 1675, + "fan": 2261, + "fanart": 41059, + "fanart": 7855, + "fanartfriday": 45346, + "fanatic": 36643, + "fanatics": 39610, + "fanbase": 36921, + "fanboy": 43369, + "fanc": 29017, + "fancafe": 45080, + "fanci": 35908, + "fanclub": 31530, + "fancy": 47622, + "fancy": 6733, + "fand": 19684, + "fandom": 47634, + "fandom": 11534, + "fanfest": 42916, + "fanfic": 47243, + "fang": 14269, + "fang": 27428, + "fangirl": 28813, + "fangirling": 39463, + "fanning": 37282, + "fanny": 30401, + "fans": 32454, + "fans": 1840, + "fansign": 25288, + "fant": 4467, + "fanta": 2703, + "fantaken": 39412, + "fantasia": 49306, + "fantastic": 31289, + "fantastic": 2935, + "fantasy": 15124, + "fantasy": 5267, + "fantasyfootball": 35713, + "fao": 31155, + "faq": 28533, + "far": 1578, + "far": 2384, + "fara": 48562, + "farage": 28340, + "farah": 31547, + "fare": 8620, + "fare": 6461, + "fares": 27525, + "farewell": 10734, + "fargo": 18870, + "fari": 26197, + "farley": 43761, + "farm": 9066, + "farm": 3985, + "farmer": 19735, + "farmer": 10474, + "farmers": 29752, + "farmers": 6402, + "farmersmarket": 41808, + "farmhouse": 26293, + "farming": 10399, + "farmington": 49305, + "farmland": 45258, + "farms": 11277, + "farn": 27527, + "faroo": 39147, + "farra": 33657, + "farrakhan": 46293, + "farrell": 24234, + "fart": 34664, + "farther": 42233, + "fas": 4830, + "fas": 42995, + "fasci": 17191, + "fascin": 7327, + "fascinated": 32964, + "fascinating": 8640, + "fascism": 28213, + "fascist": 23870, + "fascists": 43598, + "fash": 42682, + "fashi": 2099, + "fashion": 6976, + "fashion": 2444, + "fashionable": 24597, + "fashionblogger": 31726, + "fashioned": 21563, + "fashioni": 26062, + "fashionista": 30415, + "fashions": 37601, + "fashionshow": 45653, + "fashionweek": 28684, + "fass": 42398, + "fast": 8509, + "fast": 1953, + "fasten": 44990, + "faster": 8835, + "fastest": 9808, + "fasting": 24656, + "fat": 4751, + "fat": 5484, + "fatal": 12124, + "fatalities": 44168, + "fatally": 34069, + "fate": 26315, + "fate": 11734, + "father": 11607, + "father": 3224, + "fathers": 12780, + "fathersday": 16731, + "fati": 13430, + "fatigue": 23747, + "fatima": 28202, + "fats": 30151, + "fatt": 44131, + "fatty": 22953, + "fau": 5571, + "fau": 31381, + "faucet": 44273, + "faul": 16230, + "faulkner": 37840, + "fault": 13862, + "faults": 42752, + "faulty": 47103, + "fauna": 30808, + "faust": 44772, + "faux": 19429, + "fav": 1355, + "fav": 5426, + "fave": 7272, + "faves": 18003, + "favor": 1766, + "favor": 12160, + "favorable": 35392, + "favored": 46640, + "favorite": 35262, + "favorite": 1916, + "favorited": 36926, + "favorites": 10564, + "favors": 36085, + "favour": 3111, + "favour": 20469, + "favourite": 3342, + "favourites": 16585, + "favs": 18879, + "faw": 21800, + "fawad": 46425, + "fawn": 48624, + "fax": 32535, + "fax": 9337, + "fay": 8939, + "fay": 40074, + "faye": 30257, + "fayette": 32043, + "fayette": 19782, + "fayetteville": 37771, + "fayre": 34982, + "faz": 26238, + "faze": 44880, + "fb": 22637, + "fb": 3307, + "fball": 29663, + "fbf": 20004, + "fbi": 10293, + "fbloggers": 41389, + "fbs": 48454, + "fc": 4278, + "fc": 1399, + "fca": 24540, + "fcb": 26639, + "fcb": 25045, + "fcbarcelona": 32174, + "fcbayern": 35033, + "fcblive": 44608, + "fcc": 21240, + "fck": 40080, + "fck": 49263, + "fcofficial": 27805, + "fcs": 32095, + "fcu": 47898, + "fd": 16972, + "fd": 11525, + "fda": 17823, + "fdi": 45579, + "fdn": 18563, + "fdny": 41084, + "fdr": 42298, + "fe": 623, + "fe": 873, + "fear": 8744, + "fear": 5402, + "feared": 31154, + "fearless": 17470, + "fears": 13867, + "fearthe": 33449, + "feasi": 34977, + "feast": 37963, + "feast": 9564, + "feat": 1703, + "feat": 5611, + "feather": 24905, + "feather": 17871, + "feathers": 21138, + "featherweight": 44939, + "feature": 30413, + "feature": 4527, + "featured": 4743, + "features": 4643, + "featuring": 3706, + "feb": 4317, + "febru": 4202, + "february": 4248, + "fect": 31293, + "fed": 22518, + "fed": 7035, + "feder": 4737, + "federal": 6369, + "federation": 15530, + "federer": 18246, + "federico": 40539, + "fedex": 32603, + "fedora": 45111, + "feds": 30593, + "fee": 28242, + "fee": 9224, + "feed": 6662, + "feed": 5839, + "feedback": 8683, + "feeder": 24482, + "feeders": 44523, + "feeding": 9879, + "feeds": 21788, + "feel": 2408, + "feel": 2051, + "feelin": 19903, + "feeling": 33087, + "feeling": 3045, + "feelings": 9452, + "feels": 4808, + "feelthe": 22322, + "feelthebern": 27743, + "fees": 11765, + "feet": 4804, + "fei": 23441, + "fei": 34217, + "fein": 46707, + "feinstein": 41313, + "fel": 2081, + "fel": 20304, + "feld": 45913, + "feld": 14219, + "feldman": 41942, + "feli": 7498, + "felic": 25845, + "felici": 23379, + "felicia": 41139, + "felicidades": 41648, + "felicity": 35123, + "feline": 29471, + "felipe": 27681, + "felix": 33455, + "felix": 16514, + "feliz": 26104, + "feliz": 20221, + "fell": 33540, + "fell": 6266, + "fella": 17586, + "fellas": 18787, + "feller": 29226, + "fellow": 12099, + "fellow": 5242, + "fellows": 15766, + "fellowship": 13857, + "felony": 31068, + "felt": 5413, + "fem": 24574, + "fem": 36615, + "fema": 41721, + "female": 22062, + "female": 3970, + "females": 21028, + "femi": 38607, + "femin": 11423, + "femini": 11894, + "feminine": 24911, + "feminism": 18784, + "feminist": 14921, + "feminists": 38809, + "femme": 31331, + "fen": 5509, + "fen": 25024, + "fence": 12679, + "fences": 34312, + "fencing": 23489, + "fender": 17117, + "fener": 41208, + "fenerbah": 46652, + "feng": 33291, + "fennel": 28689, + "fent": 26395, + "fenton": 47265, + "fenway": 29206, + "fer": 1765, + "fer": 2897, + "fera": 37705, + "feral": 29972, + "ferdin": 25541, + "ferdinand": 27591, + "fere": 43144, + "feren": 35652, + "ference": 19984, + "ferg": 44938, + "fergie": 39119, + "fergu": 10988, + "fergus": 42041, + "ferguson": 11904, + "fermentation": 45817, + "fermented": 36886, + "fern": 10747, + "fern": 21685, + "fernandes": 44391, + "fernandez": 23436, + "fernando": 17140, + "ferns": 38277, + "feroci": 45652, + "ferr": 7256, + "ferra": 47911, + "ferrari": 9606, + "ferre": 29626, + "ferred": 10432, + "ferreira": 48686, + "ferrell": 41112, + "ferrer": 38904, + "ferri": 42008, + "ferries": 28489, + "ferris": 27532, + "ferry": 38936, + "ferry": 10278, + "fers": 12378, + "fert": 14925, + "fert": 43662, + "fertil": 41987, + "fertile": 44837, + "fertili": 23912, + "fertility": 23528, + "fertilizer": 36786, + "fery": 47448, + "fes": 32300, + "fest": 17383, + "fest": 2590, + "festa": 42124, + "festi": 1943, + "festiv": 19222, + "festival": 20946, + "festival": 2240, + "festivals": 17834, + "festive": 9533, + "festivities": 21020, + "fet": 21409, + "feta": 31705, + "fetal": 42031, + "fetch": 30271, + "fete": 34629, + "fett": 37979, + "fetus": 26768, + "feu": 24912, + "feu": 32990, + "feud": 27365, + "fever": 40896, + "fever": 9989, + "fevre": 43861, + "few": 1939, + "fewer": 19128, + "fex": 41584, + "fex": 26392, + "fey": 39069, + "fey": 23298, + "fez": 43081, + "ff": 1021, + "ff": 1304, + "ffa": 15355, + "ffame": 42873, + "ffc": 19832, + "ffe": 1138, + "ffe": 8631, + "ffect": 29151, + "ffed": 8448, + "ffee": 26377, + "ffel": 22656, + "ffen": 46537, + "ffer": 27369, + "ffer": 11636, + "ffers": 32163, + "fferty": 44771, + "ffes": 46441, + "ffey": 30138, + "fff": 28106, + "ffi": 19961, + "ffic": 4762, + "ffice": 26044, + "ffici": 3639, + "fficial": 39818, + "fficial": 6463, + "fficiency": 27800, + "fficient": 20424, + "ffin": 12779, + "ffin": 7367, + "ffing": 16592, + "ffins": 17898, + "ffl": 39490, + "ffle": 7749, + "ffler": 39819, + "ffles": 19344, + "ffman": 15823, + "ffo": 42264, + "ffs": 4424, + "ffxiv": 26569, + "ffxv": 46786, + "ffy": 26404, + "ffy": 7795, + "fg": 45977, + "fg": 6823, + "fgm": 32178, + "fgo": 46113, + "fh": 21649, + "fh": 21010, + "fhs": 45094, + "fi": 701, + "fi": 3589, + "fia": 8827, + "fiable": 34373, + "fianc": 27752, + "fiance": 44114, + "fiancé": 34039, + "fiasco": 40944, + "fiat": 16740, + "fiawec": 39485, + "fib": 40594, + "fiba": 34993, + "fiber": 35074, + "fiber": 12612, + "fibers": 44587, + "fibre": 21401, + "fibro": 21294, + "fibrosis": 36307, + "fic": 1788, + "fic": 2059, + "fica": 26952, + "fically": 14854, + "fication": 4523, + "fications": 12512, + "ficial": 48192, + "fics": 42505, + "fiction": 6218, + "fictional": 25570, + "fid": 34197, + "fid": 23966, + "fidd": 25218, + "fiddle": 35968, + "fide": 45375, + "fidel": 21740, + "fidel": 36837, + "fidelity": 30109, + "fidget": 48664, + "fie": 28487, + "fie": 10348, + "fied": 29642, + "fied": 2853, + "fiel": 1361, + "field": 7571, + "field": 1570, + "fielder": 11046, + "fieldhouse": 37969, + "fielding": 30465, + "fields": 6494, + "fieldwork": 33155, + "fiends": 37869, + "fier": 11167, + "fier": 10598, + "fierc": 48609, + "fierce": 13896, + "fiercely": 49039, + "fiers": 16113, + "fiery": 24557, + "fies": 9537, + "fiesta": 14580, + "fif": 5309, + "fifa": 21976, + "fifa": 8516, + "fifaworldcup": 38819, + "fifawwc": 41329, + "fife": 24374, + "fifteen": 29504, + "fifth": 25515, + "fifth": 8772, + "fifthharmony": 31075, + "fifty": 24456, + "fifty": 15978, + "fig": 4814, + "fig": 20719, + "figaro": 48044, + "figh": 23274, + "fight": 5262, + "fight": 2757, + "fighter": 35884, + "fighter": 6438, + "fighters": 7371, + "fightfor": 48909, + "fightfor": 35740, + "fighting": 38625, + "fighting": 4652, + "fighton": 45578, + "fights": 12132, + "figs": 38882, + "figu": 6390, + "figur": 16948, + "figurative": 44042, + "figure": 48820, + "figure": 5274, + "figured": 15630, + "figures": 8739, + "figurine": 33306, + "figuring": 31513, + "fiji": 48270, + "fiji": 18285, + "fik": 46589, + "fil": 1142, + "fil": 14915, + "fila": 30992, + "filament": 49252, + "file": 12545, + "file": 4512, + "filed": 13864, + "files": 7850, + "filet": 43155, + "fili": 9590, + "filing": 16576, + "filip": 14368, + "filipino": 19153, + "fill": 15904, + "fill": 6277, + "filled": 5589, + "filler": 32816, + "fillers": 45005, + "fillet": 39276, + "filling": 9736, + "fillion": 38048, + "fillmore": 43922, + "fills": 21750, + "filly": 27690, + "film": 5117, + "film": 1860, + "filmed": 15801, + "filmfare": 42224, + "filmfest": 24508, + "filmfestival": 28066, + "filming": 6866, + "filmmaker": 17202, + "filmmakers": 24896, + "filmmaking": 18226, + "films": 5370, + "fils": 40271, + "filter": 7541, + "filtered": 29926, + "filtering": 47770, + "filters": 18385, + "filth": 39713, + "filthy": 26899, + "filtr": 21408, + "filtration": 42036, + "fim": 47525, + "fin": 735, + "fin": 10663, + "fina": 34497, + "final": 11968, + "final": 1755, + "finale": 7844, + "finalfantasy": 44543, + "finalfour": 46999, + "finalist": 12620, + "finalists": 13422, + "finalized": 48930, + "finally": 1992, + "finals": 4536, + "finan": 4807, + "finance": 6117, + "finances": 28767, + "financi": 12846, + "financial": 19783, + "financial": 4930, + "financially": 28124, + "financing": 18375, + "finch": 18523, + "find": 18638, + "find": 1416, + "finder": 15045, + "finders": 43884, + "findia": 47064, + "finding": 37455, + "finding": 6002, + "findings": 16529, + "findlay": 48227, + "findom": 36463, + "finds": 6680, + "findyour": 25936, + "findyourpark": 38924, + "fine": 12042, + "fine": 3797, + "fineart": 7484, + "fineart": 16005, + "fineartamerica": 7724, + "fined": 20094, + "finely": 46120, + "finer": 36681, + "fines": 25053, + "finesse": 46047, + "finest": 7707, + "fing": 6485, + "fing": 17955, + "finger": 13480, + "finger": 8895, + "fingerprint": 39579, + "fingers": 9690, + "fini": 2405, + "finish": 42178, + "finish": 3958, + "finished": 3078, + "finisher": 38636, + "finishers": 48661, + "finishes": 13078, + "finishing": 7912, + "finite": 48312, + "finity": 41463, + "finity": 21273, + "fink": 40158, + "finland": 10775, + "finley": 41652, + "finn": 28479, + "finn": 16925, + "finna": 35180, + "finnish": 19616, + "fino": 30083, + "fins": 32810, + "fintech": 48929, + "fintech": 8899, + "fion": 27476, + "fiona": 20099, + "fior": 37086, + "fiore": 44997, + "fioren": 33188, + "fiorentina": 43713, + "fios": 42521, + "fir": 770, + "fir": 16233, + "fire": 2951, + "fire": 1769, + "firearm": 40311, + "firearms": 23960, + "fireball": 40543, + "firec": 42806, + "fired": 8846, + "firefighter": 20498, + "firefighters": 12600, + "firefly": 33997, + "firefox": 35372, + "fireman": 46085, + "firen": 34752, + "firenze": 38445, + "fireplace": 23050, + "fires": 8749, + "fireside": 36185, + "firework": 40750, + "fireworks": 10641, + "firing": 15105, + "firm": 16936, + "firm": 7705, + "firmly": 29156, + "firms": 13655, + "firmware": 42691, + "first": 6853, + "first": 874, + "firstdayof": 44297, + "firsth": 48512, + "firsts": 47884, + "firth": 26078, + "fis": 7846, + "fis": 47683, + "fiscal": 20825, + "fischer": 26532, + "fish": 6431, + "fish": 2759, + "fisher": 11175, + "fisher": 9176, + "fisheries": 24612, + "fisherman": 25055, + "fishermen": 28547, + "fishers": 42065, + "fishery": 49057, + "fishes": 35470, + "fishing": 31703, + "fishing": 4935, + "fishy": 35665, + "fist": 48340, + "fist": 17085, + "fit": 2366, + "fit": 2478, + "fitbit": 33768, + "fitch": 44614, + "fitfam": 20662, + "fitnes": 47285, + "fitness": 20044, + "fitness": 4838, + "fits": 6401, + "fitt": 32994, + "fitted": 14863, + "fitter": 42096, + "fitters": 32364, + "fitting": 11769, + "fittings": 45787, + "fitz": 11120, + "fitz": 25913, + "fitzgerald": 20606, + "fitzpatrick": 37141, + "fiu": 38374, + "five": 19508, + "five": 3127, + "fives": 44066, + "fix": 4596, + "fix": 6028, + "fixed": 9393, + "fixes": 25473, + "fixing": 17423, + "fixture": 17317, + "fixtures": 19904, + "fizz": 31242, + "fj": 43183, + "fj": 46447, + "fjor": 31260, + "fk": 12410, + "fl": 1082, + "fl": 2685, + "fla": 1577, + "fla": 20292, + "flag": 11536, + "flag": 4859, + "flagged": 45012, + "flags": 12221, + "flagship": 19779, + "flagstaff": 40406, + "flair": 24938, + "flake": 21221, + "flakes": 20934, + "flam": 10559, + "flame": 40351, + "flame": 13484, + "flamen": 28826, + "flamenco": 37362, + "flames": 13441, + "flamin": 42693, + "flaming": 34782, + "flamingo": 30323, + "flan": 14572, + "flanagan": 28641, + "flanders": 34837, + "flank": 44553, + "flann": 39510, + "flannel": 37807, + "flap": 35253, + "flappy": 40241, + "flare": 21185, + "flares": 46088, + "flash": 6089, + "flash": 5815, + "flashback": 14616, + "flashback": 11988, + "flashbackfriday": 15014, + "flashbacks": 47056, + "flashes": 31259, + "flashing": 31764, + "flashlight": 37256, + "flask": 36194, + "flat": 8986, + "flat": 6313, + "flats": 17228, + "flatt": 45498, + "flattering": 43267, + "flaun": 41421, + "flav": 7191, + "flavo": 28895, + "flavor": 31835, + "flavor": 11818, + "flavored": 29350, + "flavorful": 49135, + "flavors": 16930, + "flavour": 17026, + "flavoured": 42397, + "flavours": 21083, + "flaw": 14268, + "flaw": 34978, + "flawed": 35136, + "flawless": 15531, + "flaws": 30492, + "flax": 43443, + "fle": 2428, + "fle": 44964, + "flea": 24883, + "fleck": 28143, + "fled": 26731, + "flee": 19427, + "flee": 30167, + "fleece": 25038, + "fleeing": 30543, + "fleek": 43513, + "fleet": 35922, + "fleet": 9147, + "fleetwood": 28883, + "fleming": 25769, + "fler": 48789, + "flesh": 17495, + "flet": 16102, + "fletcher": 19810, + "fleur": 28593, + "flew": 13768, + "flex": 16426, + "flex": 12038, + "flexi": 10032, + "flexibility": 22547, + "flexible": 14502, + "flexing": 48483, + "fli": 2472, + "flick": 13746, + "flick": 23414, + "flickr": 17755, + "flies": 8070, + "flight": 24701, + "flight": 3795, + "flights": 10515, + "flin": 24730, + "flin": 43816, + "flinders": 44647, + "fling": 22768, + "flint": 28306, + "flint": 18324, + "flip": 20385, + "flip": 11035, + "flipk": 30829, + "flipkart": 33154, + "flipped": 28144, + "flipping": 25881, + "flips": 35089, + "flir": 24330, + "flirt": 38352, + "flirting": 35243, + "flix": 40663, + "flo": 1945, + "flo": 20711, + "float": 16123, + "floating": 12619, + "floats": 33272, + "flock": 36297, + "flock": 21822, + "flondon": 47366, + "floo": 4062, + "flood": 23793, + "flood": 7148, + "flooded": 19706, + "flooding": 10204, + "floods": 16369, + "floor": 23657, + "floor": 4125, + "flooring": 19227, + "floors": 15671, + "flop": 22994, + "floppy": 38267, + "flops": 29146, + "flor": 15784, + "flor": 41669, + "flora": 18906, + "floral": 10732, + "florals": 48331, + "floren": 37706, + "florence": 11617, + "flores": 21537, + "flori": 3482, + "florian": 41861, + "florida": 34264, + "florida": 3966, + "florist": 38403, + "floss": 36453, + "flotus": 35181, + "flour": 18592, + "flouri": 23239, + "flourish": 36038, + "flow": 2180, + "flow": 5608, + "flower": 12772, + "flower": 4055, + "flowering": 19953, + "flowers": 4023, + "flowing": 14922, + "flown": 25659, + "flows": 16715, + "floyd": 46369, + "floyd": 13656, + "flu": 3698, + "flu": 13528, + "fluctu": 40181, + "fluence": 38169, + "fluent": 30025, + "fluff": 31174, + "fluffy": 40346, + "fluffy": 17054, + "fluid": 43803, + "fluid": 16717, + "fluids": 41490, + "fluor": 45127, + "fluore": 26974, + "fluorescent": 35036, + "fluori": 45611, + "flur": 31591, + "flush": 25777, + "flushing": 43754, + "flute": 23746, + "flux": 25249, + "flwx": 30907, + "fly": 5666, + "fly": 3228, + "flye": 30873, + "flyeagles": 39927, + "flyeaglesfly": 39931, + "flyer": 11875, + "flyers": 14181, + "flyfishing": 31800, + "flying": 20782, + "flying": 4610, + "flyn": 40676, + "flynn": 15721, + "flyo": 33506, + "flyover": 38083, + "fm": 13715, + "fm": 3689, + "fman": 25152, + "fml": 26730, + "fmr": 32875, + "fn": 22773, + "fn": 21763, + "fnc": 46506, + "fo": 898, + "fo": 6157, + "foal": 40386, + "foam": 30039, + "foam": 14587, + "foamed": 26711, + "fob": 40315, + "focal": 30934, + "focu": 5827, + "focus": 4353, + "focused": 9319, + "focuses": 20093, + "focusing": 15551, + "fod": 31015, + "fod": 43299, + "fodils": 44411, + "foe": 22952, + "foes": 46279, + "fog": 9417, + "foggy": 19770, + "foil": 17302, + "fol": 1106, + "fol": 48616, + "fold": 35201, + "fold": 11021, + "foldable": 48307, + "folded": 25233, + "folder": 25717, + "folding": 15464, + "folds": 24266, + "foley": 22850, + "foli": 7713, + "folia": 48964, + "foliage": 26350, + "folio": 10772, + "folk": 10665, + "folk": 6032, + "folke": 47190, + "folkl": 27273, + "folklore": 22133, + "folklore": 28620, + "folklorethursday": 23270, + "folks": 5422, + "follo": 41417, + "follow": 1964, + "follow": 1979, + "followart": 40957, + "followback": 33863, + "followed": 6499, + "follower": 17039, + "followers": 4856, + "following": 3473, + "followme": 29668, + "followparty": 44757, + "follows": 11287, + "followthe": 30747, + "folly": 41408, + "folsom": 42108, + "fom": 34540, + "fon": 5017, + "fon": 38318, + "fond": 19964, + "fonda": 44609, + "fondue": 48321, + "fone": 40672, + "font": 37610, + "font": 16248, + "fontaine": 37864, + "fontana": 43643, + "fontein": 45062, + "fonts": 32801, + "foo": 1183, + "foo": 23435, + "food": 4586, + "food": 1559, + "foodand": 38317, + "foodbank": 31926, + "foodie": 30762, + "foodie": 9847, + "foodies": 22416, + "foodnetwork": 46793, + "foods": 7057, + "foodsecurity": 49329, + "foodtruck": 47682, + "fool": 23959, + "fool": 12212, + "fooled": 28761, + "fooling": 47964, + "foolish": 33824, + "fools": 15946, + "foot": 6702, + "foot": 4738, + "footage": 11130, + "footb": 33466, + "football": 9376, + "football": 1882, + "footballer": 20646, + "footballers": 30269, + "footed": 38040, + "footh": 25951, + "foothills": 37020, + "footpath": 48858, + "footprint": 23206, + "footprints": 39640, + "footsteps": 27289, + "footwear": 22772, + "footy": 39866, + "footy": 18922, + "for": 645, + "for": 556, + "forage": 46871, + "foraging": 39056, + "forall": 17824, + "forbe": 49098, + "forbes": 13925, + "forbi": 24754, + "forbidden": 25164, + "force": 12068, + "force": 2869, + "forced": 8201, + "forces": 5381, + "forchange": 35848, + "forcing": 21573, + "ford": 3751, + "ford": 1623, + "fordfc": 28581, + "fordham": 48792, + "fords": 29351, + "fordshire": 14645, + "fore": 1484, + "fore": 1332, + "forec": 34155, + "forecast": 7361, + "forecasting": 38133, + "forecasts": 27696, + "foreclo": 44916, + "forefront": 37679, + "foreground": 35186, + "forehead": 25394, + "foreig": 26497, + "foreign": 42255, + "foreign": 6046, + "foreigners": 38549, + "foreman": 36174, + "foremost": 42128, + "foren": 16526, + "forensic": 23158, + "forensics": 38763, + "forest": 18760, + "forest": 4167, + "forestation": 33939, + "forestry": 26281, + "forests": 14095, + "forever": 14748, + "forever": 3225, + "forevery": 40605, + "forex": 40200, + "forex": 17395, + "forfe": 44871, + "forge": 19232, + "forged": 28105, + "forget": 46153, + "forget": 2678, + "forgets": 35613, + "forgetting": 25452, + "forgi": 22080, + "forgive": 15332, + "forgiven": 44894, + "forgiveness": 23585, + "forgood": 39169, + "forgot": 6483, + "forgotten": 7994, + "fork": 24501, + "fork": 13700, + "forkids": 48571, + "forklift": 43202, + "forks": 28769, + "forlife": 17624, + "form": 1157, + "form": 1907, + "forma": 38829, + "formal": 12978, + "formally": 24867, + "format": 16252, + "format": 11874, + "formation": 2510, + "formations": 37715, + "formative": 48882, + "formats": 32085, + "forme": 42085, + "formed": 6528, + "former": 2276, + "formerly": 20866, + "formid": 38599, + "formidable": 39834, + "forming": 15443, + "formity": 42290, + "forms": 5161, + "formu": 8689, + "formul": 23923, + "formula": 24485, + "formula": 10776, + "formulae": 34586, + "formulated": 45066, + "forre": 38876, + "forrest": 25205, + "forrester": 45338, + "forsa": 48958, + "forsale": 13303, + "forster": 42923, + "forsy": 29629, + "forsyth": 40952, + "fort": 12300, + "fort": 2921, + "forte": 44350, + "forte": 27367, + "forth": 17068, + "forth": 11932, + "forthcoming": 19989, + "forthe": 12521, + "forti": 26984, + "fortified": 46486, + "fortn": 14428, + "fortnight": 39235, + "fortnite": 38734, + "fortnite": 17890, + "fortress": 19988, + "fortun": 6950, + "fortunate": 19898, + "fortunately": 34358, + "fortune": 40931, + "fortune": 11451, + "fortunes": 41989, + "forty": 24399, + "forum": 37851, + "forum": 4538, + "forums": 31518, + "forwar": 34364, + "forward": 47031, + "forward": 2342, + "forwards": 38974, + "foryou": 35150, + "forz": 46056, + "forza": 33293, + "forza": 28089, + "fos": 36925, + "fos": 22081, + "foss": 14240, + "foss": 37911, + "fossil": 20419, + "fossil": 15202, + "fossilfriday": 26079, + "fossils": 30652, + "foster": 26778, + "foster": 8139, + "fostering": 35996, + "fosters": 37644, + "foto": 15908, + "foto": 12823, + "fotogra": 23687, + "fotografia": 40256, + "fotos": 26124, + "fou": 14516, + "fought": 10844, + "foul": 19784, + "foun": 3154, + "found": 3454, + "found": 1546, + "foundation": 4058, + "foundations": 25219, + "founded": 12240, + "founder": 5145, + "founders": 14602, + "founding": 15317, + "foundry": 31426, + "fountain": 44863, + "fountain": 13405, + "fountains": 37411, + "four": 5113, + "four": 2721, + "foursquare": 34484, + "fourteen": 46255, + "fourth": 7516, + "fourthofjuly": 47805, + "fow": 17084, + "fowl": 31685, + "fowler": 20980, + "fox": 5007, + "fox": 3240, + "foxandfriends": 45841, + "foxes": 24145, + "foxnews": 18830, + "foxsports": 39267, + "foxtv": 49396, + "foxx": 32993, + "foxy": 27945, + "foy": 30284, + "foyer": 38011, + "foyle": 47902, + "fp": 28058, + "fp": 8941, + "fpl": 27970, + "fpp": 36464, + "fps": 25300, + "fpv": 43175, + "fr": 936, + "fr": 5512, + "fra": 3368, + "fra": 15644, + "frac": 15607, + "fracking": 21894, + "fractal": 46471, + "fraction": 26788, + "fractu": 25847, + "fracture": 28995, + "fractured": 37421, + "fractures": 46213, + "frag": 13093, + "fragile": 23579, + "fragment": 39209, + "fragments": 41424, + "fragr": 15403, + "fragrance": 17874, + "fragrances": 44567, + "fragrant": 37030, + "fram": 27987, + "frame": 11029, + "frame": 6481, + "framed": 13135, + "frames": 15479, + "framework": 13195, + "frameworks": 43136, + "framing": 24539, + "frampton": 41733, + "fran": 2118, + "fran": 18878, + "franc": 3872, + "franc": 42340, + "franca": 48952, + "france": 12045, + "france": 3552, + "frances": 20803, + "francesca": 32327, + "francesco": 25816, + "franch": 11756, + "franchi": 46438, + "franchise": 13664, + "franci": 46458, + "francis": 22187, + "francis": 7660, + "francisco": 6887, + "franco": 17934, + "franco": 17052, + "francois": 29317, + "frank": 5390, + "frank": 5229, + "franken": 20487, + "franken": 48252, + "frankenstein": 26410, + "frankfur": 17442, + "frankfurt": 18598, + "franki": 39227, + "frankie": 38373, + "frankie": 16215, + "franklin": 40935, + "franklin": 9999, + "frankly": 38015, + "franks": 42855, + "frans": 47892, + "franz": 25449, + "franç": 38381, + "fraser": 39082, + "fraser": 16754, + "frat": 15225, + "frat": 39292, + "fraternity": 24433, + "frau": 23063, + "fraud": 40647, + "fraud": 9961, + "fraudul": 42655, + "fraudulent": 47408, + "fray": 41154, + "frazier": 32841, + "frc": 41507, + "fre": 821, + "fre": 43165, + "freak": 20352, + "freak": 13701, + "freaked": 43511, + "freakin": 23900, + "freaking": 11992, + "freaks": 27009, + "freaky": 31583, + "freck": 33328, + "freckles": 48036, + "fred": 9486, + "fred": 6678, + "freddie": 41890, + "freddie": 17014, + "freddy": 24394, + "freder": 10745, + "frederic": 41165, + "frederick": 37103, + "frederick": 18570, + "fredo": 48241, + "free": 2065, + "free": 1139, + "freebie": 35865, + "freebies": 28630, + "freec": 46569, + "freed": 12585, + "freed": 23392, + "freedom": 17992, + "freedom": 4511, + "freedoms": 32500, + "freef": 48678, + "freel": 14174, + "freelance": 21942, + "freely": 24436, + "freeman": 16450, + "freep": 32499, + "freepalestine": 39242, + "freer": 44676, + "frees": 27455, + "freestyle": 15594, + "freeway": 24927, + "freeze": 14187, + "freezer": 25390, + "freezing": 12499, + "frei": 30183, + "freight": 17023, + "fremantle": 48012, + "fremont": 34578, + "fren": 2919, + "french": 13118, + "french": 3461, + "frenzy": 30084, + "frequ": 9211, + "frequencies": 45319, + "frequency": 18825, + "frequent": 19836, + "frequently": 22434, + "fresco": 31609, + "fresh": 4065, + "fresh": 2975, + "fresher": 49284, + "freshers": 35810, + "freshest": 46809, + "freshly": 16081, + "freshman": 9381, + "freshmen": 21292, + "freshness": 45872, + "freshwater": 24803, + "fresno": 40879, + "fresno": 20995, + "fret": 40510, + "freud": 40787, + "frey": 22136, + "frey": 9082, + "fri": 815, + "fri": 6882, + "friars": 30513, + "fric": 18981, + "frick": 46304, + "friction": 38563, + "frid": 46388, + "frida": 36001, + "friday": 6350, + "friday": 1461, + "fridayfeeling": 11952, + "fridaymotivation": 38544, + "fridaynight": 44858, + "fridayreads": 37736, + "fridays": 15589, + "fridaythe": 47642, + "fridge": 13491, + "fridges": 40734, + "frie": 36999, + "fried": 13743, + "fried": 7310, + "friedman": 29402, + "friedrich": 34171, + "friend": 3017, + "friend": 1625, + "friendly": 44612, + "friendly": 4681, + "friends": 38875, + "friends": 1574, + "friendship": 42674, + "friendship": 7679, + "friendships": 28840, + "fries": 11369, + "frifotos": 40493, + "friger": 20785, + "friggin": 48300, + "frigh": 34831, + "fright": 24277, + "fright": 40207, + "frightened": 47136, + "frightening": 39290, + "fringe": 10640, + "fris": 37252, + "frisbee": 45768, + "frisco": 35945, + "frit": 34614, + "fritz": 29860, + "friyay": 38887, + "frm": 12951, + "fro": 626, + "fro": 26603, + "frock": 45306, + "frog": 26494, + "frog": 11438, + "frogs": 20781, + "from": 8330, + "from": 633, + "frome": 48691, + "fromhome": 41477, + "fromthe": 18756, + "fron": 1847, + "fron": 18036, + "front": 10996, + "front": 2184, + "frontal": 35794, + "frontier": 18253, + "frontiers": 38396, + "frontline": 29589, + "frontman": 36775, + "fronts": 26846, + "froome": 48560, + "frosh": 47069, + "frost": 39420, + "frost": 11619, + "frosted": 35988, + "frosting": 33872, + "frosty": 22760, + "froze": 47788, + "frozen": 42464, + "frozen": 8507, + "frs": 26216, + "fru": 3248, + "fruit": 16771, + "fruit": 5190, + "fruitful": 31494, + "fruits": 13282, + "fruity": 22320, + "frustr": 16046, + "frustrated": 25111, + "frustrating": 31342, + "frustration": 30535, + "fry": 33914, + "fry": 13686, + "fryer": 49217, + "frying": 38516, + "fs": 23699, + "fs": 3854, + "fsa": 33373, + "fsu": 44185, + "fsu": 19317, + "ft": 3391, + "ft": 981, + "fta": 41975, + "ftc": 33752, + "fted": 5612, + "fter": 25063, + "fthe": 22886, + "ftheday": 9823, + "fting": 6174, + "fton": 26605, + "ftp": 42649, + "fts": 3767, + "ftse": 46717, + "ftw": 19298, + "fty": 17494, + "fu": 665, + "fu": 9098, + "fuch": 42617, + "fudge": 24270, + "fue": 43723, + "fuego": 41500, + "fuel": 21113, + "fuel": 5945, + "fueled": 28792, + "fueling": 38793, + "fuelled": 48357, + "fuels": 19365, + "fuentes": 44393, + "fuer": 29645, + "fug": 29227, + "fugitive": 39257, + "fuji": 15573, + "fuji": 21634, + "fujifilm": 24765, + "fuk": 31051, + "fuku": 20728, + "fukushima": 33929, + "ful": 1814, + "ful": 857, + "fulbright": 41834, + "fulfill": 43675, + "fulfill": 27467, + "fulfilled": 29919, + "fulfilling": 30621, + "fulfillment": 45573, + "fulham": 25574, + "full": 9407, + "full": 1476, + "fuller": 20225, + "fullerton": 42822, + "fullest": 35603, + "fully": 39142, + "fully": 2401, + "fulness": 10526, + "fuls": 41606, + "fulton": 26725, + "fum": 38393, + "fumble": 49373, + "fun": 1229, + "fun": 1499, + "func": 8679, + "function": 8093, + "functional": 12885, + "functionality": 33316, + "functioning": 25479, + "functions": 18001, + "fund": 19089, + "fund": 4877, + "fundam": 11670, + "fundament": 18852, + "fundamental": 17627, + "fundamentally": 45378, + "fundamentals": 27887, + "funday": 15439, + "funded": 10588, + "funding": 5588, + "fundra": 6201, + "fundraiser": 10049, + "fundraising": 10755, + "funds": 7066, + "funer": 40693, + "funeral": 10606, + "funfact": 31596, + "funfactfriday": 40710, + "fungal": 38838, + "fungi": 27837, + "fungus": 30677, + "funk": 37353, + "funk": 13372, + "funko": 49402, + "funko": 23697, + "funky": 16492, + "funnel": 27862, + "funnier": 42232, + "funniest": 15557, + "funny": 19124, + "funny": 3789, + "funrun": 34185, + "fur": 2395, + "fur": 9686, + "furi": 40816, + "furious": 17522, + "furman": 49238, + "furn": 21348, + "furnace": 31913, + "furnished": 37388, + "furnitu": 45696, + "furniture": 7993, + "furry": 33414, + "furry": 15351, + "fursuit": 25306, + "fursuit": 43083, + "fursuitfriday": 27917, + "further": 5583, + "fury": 14404, + "fus": 18419, + "fuse": 23386, + "fused": 38994, + "fusion": 44661, + "fusion": 9364, + "fuss": 26331, + "fut": 21460, + "fut": 34049, + "futbol": 33014, + "futsal": 20558, + "futu": 33454, + "futur": 38840, + "future": 7959, + "future": 1904, + "futureof": 22599, + "futureofwork": 33202, + "futures": 13488, + "futuri": 19068, + "futurism": 48435, + "futurist": 48086, + "futuristic": 30987, + "fuzz": 47128, + "fuzz": 40443, + "fuzzy": 25876, + "fv": 29795, + "fw": 23934, + "fw": 5277, + "fwd": 27052, + "fx": 17807, + "fx": 9025, + "fy": 8440, + "fy": 2702, + "fyi": 16014, + "fying": 5294, + "fz": 46400, + "fé": 34072, + "g": 70, + "g": 326, + "ga": 1275, + "ga": 1531, + "gaa": 10715, + "gaal": 40867, + "gaard": 24645, + "gab": 3927, + "gab": 37382, + "gabbana": 36272, + "gabby": 48115, + "gabby": 24567, + "gabe": 18916, + "gabi": 41931, + "gable": 33387, + "gables": 40928, + "gabri": 8311, + "gabriel": 31684, + "gabriel": 13244, + "gabrielle": 33572, + "gaby": 46420, + "gac": 32520, + "gad": 7786, + "gad": 44651, + "gadget": 25525, + "gadgets": 22840, + "gado": 29489, + "gae": 22003, + "gael": 35663, + "gaelic": 31173, + "gaf": 21354, + "gaf": 32670, + "gag": 14121, + "gag": 18844, + "gaga": 9782, + "gage": 21081, + "gah": 27750, + "gai": 24214, + "gai": 25153, + "gaia": 41269, + "gail": 41160, + "gail": 27676, + "gain": 21536, + "gain": 6202, + "gaine": 35747, + "gained": 14489, + "gaines": 49225, + "gainesville": 40427, + "gaining": 15260, + "gains": 42751, + "gains": 12107, + "gal": 2001, + "gal": 4488, + "gala": 7211, + "galac": 18864, + "galactic": 25514, + "galap": 41115, + "galapagos": 44057, + "galat": 39853, + "galatasar": 42413, + "galatasaray": 47787, + "galax": 5647, + "galaxies": 32435, + "galaxy": 32130, + "galaxy": 6545, + "gale": 37658, + "gale": 21380, + "galerie": 44539, + "gales": 48633, + "gali": 17546, + "gali": 30552, + "galicia": 47927, + "galileo": 39671, + "gall": 3011, + "gall": 33374, + "galla": 16847, + "gallagher": 19168, + "galleria": 40656, + "galleries": 22304, + "gallery": 36648, + "gallery": 3830, + "galley": 48917, + "galli": 22568, + "gallipoli": 47249, + "gallo": 37350, + "gallo": 33265, + "gallon": 24615, + "gallons": 29335, + "galloway": 27796, + "galore": 22286, + "gals": 20125, + "galvani": 46046, + "galve": 34328, + "galveston": 36003, + "galway": 38045, + "galway": 17112, + "gam": 1162, + "gam": 34195, + "gama": 35873, + "gambia": 32988, + "gamble": 26121, + "gambling": 20287, + "game": 2882, + "game": 1063, + "gameart": 31490, + "gameboy": 40951, + "gamecube": 44079, + "gameday": 9241, + "gamedev": 7544, + "gameinsight": 42626, + "gameof": 10987, + "gameofthrones": 11822, + "gameon": 47691, + "gameplay": 16794, + "gamer": 12595, + "gamer": 11598, + "gamergate": 25961, + "gamers": 16166, + "gamersunite": 26423, + "games": 18551, + "games": 1955, + "gamescom": 37003, + "gamestop": 39436, + "gametime": 45899, + "gami": 42025, + "gamification": 48908, + "gaming": 28803, + "gaming": 4017, + "gamma": 22180, + "gamo": 39325, + "gan": 1822, + "gan": 1670, + "gand": 8399, + "ganda": 27261, + "gander": 44508, + "gandhi": 12322, + "ganesh": 30362, + "ganesha": 45185, + "gang": 8066, + "gang": 5674, + "ganga": 36275, + "gangnam": 46777, + "gangs": 29844, + "gangsta": 37365, + "gangster": 26514, + "gani": 48324, + "gann": 45665, + "gannon": 45837, + "gano": 25304, + "gao": 26556, + "gaon": 19279, + "gap": 29906, + "gap": 7609, + "gaps": 25296, + "gar": 1099, + "gar": 5824, + "gara": 28710, + "garage": 8474, + "garbage": 13760, + "garci": 44658, + "garcia": 10529, + "gard": 7751, + "gard": 21003, + "garda": 31906, + "garde": 22649, + "garden": 4674, + "garden": 2756, + "gardenchat": 46292, + "gardener": 28554, + "gardeners": 38205, + "gardening": 10483, + "gardens": 6152, + "gardiner": 43121, + "gardner": 18710, + "gare": 5633, + "gare": 48402, + "gareth": 37140, + "gareth": 18175, + "garfield": 26728, + "garh": 16762, + "gari": 40898, + "gari": 43080, + "garis": 37839, + "garland": 23418, + "garlic": 9685, + "garment": 31418, + "garments": 43341, + "garmin": 39885, + "garner": 20340, + "garnet": 37669, + "garo": 30388, + "garrett": 15881, + "garri": 21764, + "garrison": 30108, + "garros": 40425, + "garry": 24398, + "gars": 12055, + "gart": 18380, + "gart": 18751, + "garten": 14684, + "garter": 48420, + "garth": 45398, + "garth": 24469, + "gartner": 43334, + "gartner": 29678, + "garty": 46383, + "garu": 31140, + "garvey": 39511, + "garwal": 38623, + "gary": 10535, + "gary": 4516, + "garza": 49393, + "gas": 5047, + "gas": 2474, + "gases": 36971, + "gasoline": 27691, + "gasp": 43762, + "gaston": 40669, + "gastri": 49197, + "gastro": 23740, + "gastron": 30699, + "gastronomy": 46987, + "gat": 5314, + "gat": 18941, + "gata": 44575, + "gate": 8071, + "gate": 3302, + "gated": 23997, + "gates": 9472, + "gateshead": 40051, + "gateway": 45221, + "gateway": 14943, + "gather": 36345, + "gather": 12602, + "gathered": 14646, + "gathering": 9197, + "gatherings": 48096, + "gathers": 39250, + "gating": 27561, + "gation": 11095, + "gations": 33906, + "gato": 44492, + "gator": 20216, + "gator": 16390, + "gatorade": 36354, + "gators": 17173, + "gatory": 24796, + "gatsby": 32586, + "gatwick": 37122, + "gau": 5919, + "gau": 43068, + "gauge": 18728, + "gaunt": 31862, + "gauntlet": 37163, + "gautam": 45853, + "gautam": 31356, + "gauteng": 40333, + "gav": 8966, + "gave": 3485, + "gavin": 32974, + "gavin": 16389, + "gaw": 15405, + "gawd": 43239, + "gawx": 43420, + "gay": 7460, + "gay": 5627, + "gaya": 39477, + "gaye": 41401, + "gayle": 29998, + "gayo": 36768, + "gays": 28001, + "gaz": 4837, + "gaz": 36475, + "gaza": 38391, + "gaza": 10112, + "gazaunderattack": 42458, + "gaze": 23212, + "gazette": 20443, + "gazing": 28373, + "gb": 8727, + "gb": 4619, + "gba": 18528, + "gbbo": 34474, + "gbc": 42993, + "gbp": 27391, + "gbr": 31984, + "gby": 40509, + "gc": 8577, + "gc": 6043, + "gcc": 26804, + "gcse": 28763, + "gcu": 34137, + "gd": 13264, + "gd": 14604, + "gdc": 32793, + "gden": 44928, + "gdp": 17100, + "gdpr": 22963, + "ge": 619, + "ge": 710, + "gea": 26790, + "gear": 15532, + "gear": 4802, + "gearbox": 42454, + "geared": 33903, + "gearing": 19027, + "gears": 21147, + "geaux": 36313, + "gecko": 38616, + "ged": 17252, + "ged": 3480, + "geddon": 31720, + "gedly": 13991, + "gee": 9806, + "gee": 9071, + "geek": 17920, + "geek": 7135, + "geeks": 20110, + "geeky": 47332, + "geel": 25906, + "geelong": 34555, + "gees": 38088, + "geese": 26413, + "geez": 42394, + "geh": 30320, + "geist": 38290, + "gel": 7343, + "gel": 5697, + "gelato": 29577, + "gels": 42552, + "gely": 14637, + "gem": 14261, + "gem": 7613, + "gement": 19495, + "gemini": 23086, + "gemma": 23952, + "gems": 14355, + "gemstone": 27747, + "gemstones": 43972, + "gen": 1024, + "gen": 3278, + "gence": 16088, + "gency": 5245, + "gend": 33247, + "gender": 22976, + "gender": 5906, + "gendere": 35824, + "genderequality": 43338, + "gene": 5822, + "gene": 7962, + "genealo": 24142, + "genealogy": 29381, + "gener": 1832, + "general": 20576, + "general": 3658, + "generally": 19256, + "generals": 30296, + "generate": 16896, + "generated": 19450, + "generates": 33938, + "generating": 23882, + "generation": 41211, + "generation": 4883, + "generational": 34506, + "generations": 12247, + "generative": 29472, + "generator": 19399, + "generators": 41917, + "generic": 26978, + "generosity": 23015, + "generous": 12570, + "generously": 35113, + "genes": 19683, + "genesis": 13518, + "genetic": 47746, + "genetic": 13578, + "genetically": 36745, + "genetics": 18276, + "geneva": 14799, + "genevie": 41633, + "genevieve": 46584, + "geni": 22334, + "genic": 15750, + "genie": 24221, + "genital": 32960, + "genius": 8235, + "geniuses": 41406, + "geno": 41544, + "geno": 46776, + "genoa": 43993, + "genoci": 14687, + "genocide": 15903, + "genome": 23991, + "genomic": 44371, + "genomics": 26227, + "genre": 14249, + "genres": 30340, + "gens": 17449, + "gent": 3685, + "gent": 7139, + "gente": 34325, + "gentle": 7262, + "gentle": 13577, + "gentleman": 13293, + "gentlemen": 11692, + "gently": 17187, + "gento": 28320, + "gentri": 41148, + "gentry": 47225, + "gents": 18862, + "genu": 9182, + "genuine": 12184, + "genuinely": 20006, + "genus": 38161, + "geny": 35323, + "geo": 5038, + "geo": 11604, + "geocaching": 47908, + "geof": 20629, + "geoff": 33697, + "geoff": 20386, + "geoffrey": 29520, + "geograph": 45920, + "geographic": 22635, + "geographical": 39380, + "geography": 17101, + "geological": 38380, + "geology": 21578, + "geom": 46135, + "geome": 12958, + "geometric": 22419, + "geometry": 21731, + "geon": 20844, + "geon": 7295, + "geons": 15914, + "geopol": 39758, + "geor": 2549, + "georg": 43126, + "george": 8377, + "george": 3296, + "georges": 25042, + "georgetown": 22970, + "georgie": 42115, + "georgina": 43892, + "geospatial": 46238, + "geothermal": 38413, + "geous": 3068, + "ger": 1291, + "ger": 1502, + "gera": 48867, + "gerald": 29901, + "gerald": 13269, + "gerard": 35979, + "gerard": 20826, + "gerber": 45058, + "gered": 40179, + "geri": 41664, + "geri": 46214, + "gering": 24077, + "germain": 38786, + "german": 14972, + "german": 4710, + "germans": 28400, + "germany": 4464, + "germin": 44721, + "germs": 47731, + "geronimo": 45171, + "gerrard": 26538, + "gerry": 29825, + "gerry": 23026, + "gers": 3314, + "gertrude": 46950, + "gervais": 36527, + "gery": 32845, + "ges": 3316, + "gest": 11843, + "gest": 2033, + "gesture": 21780, + "gestures": 43524, + "get": 5670, + "get": 779, + "geta": 13155, + "getaway": 16131, + "gether": 27224, + "getic": 20661, + "getin": 25822, + "getit": 44891, + "getit": 48315, + "getoutside": 35644, + "gets": 39448, + "gets": 2127, + "gett": 6647, + "gett": 27965, + "gettable": 15620, + "gette": 29800, + "gettin": 13428, + "getting": 30885, + "getting": 1500, + "getty": 31185, + "getty": 13965, + "gettys": 35189, + "gettysburg": 37062, + "getyour": 42159, + "gey": 29289, + "gf": 28953, + "gf": 10846, + "gfriend": 35245, + "gfs": 37553, + "gg": 1129, + "gg": 3286, + "gga": 26003, + "ggan": 25626, + "gge": 21521, + "gge": 31659, + "gged": 6095, + "gger": 12367, + "gger": 3493, + "ggers": 7480, + "ggg": 20143, + "gggg": 33513, + "ggi": 21662, + "ggin": 17160, + "gging": 4966, + "ggins": 12444, + "ggle": 34981, + "ggle": 11430, + "ggled": 46328, + "ggles": 14703, + "ggling": 16523, + "ggly": 39407, + "ggs": 4797, + "ggy": 24935, + "ggy": 6476, + "gh": 583, + "gh": 790, + "gha": 10010, + "gha": 25183, + "gham": 21456, + "ghan": 18945, + "ghan": 6624, + "ghana": 30330, + "ghana": 9731, + "ghanaian": 34223, + "ghani": 36699, + "ghar": 37334, + "ghar": 36973, + "ghat": 43989, + "ghaz": 37493, + "ghc": 42139, + "ghe": 10754, + "ghe": 28561, + "ghead": 40783, + "ghee": 34794, + "gher": 21542, + "gher": 14796, + "ghet": 18447, + "ghetti": 17485, + "ghetto": 22403, + "ghi": 22436, + "ghi": 22279, + "ghibli": 40555, + "ghj": 38439, + "ghlin": 24131, + "gho": 4307, + "ghorn": 38094, + "ghosh": 43279, + "ghoshal": 49134, + "ghost": 11417, + "ghost": 7108, + "ghostbusters": 25462, + "ghostly": 44901, + "ghosts": 16737, + "ghou": 35843, + "ghoul": 45302, + "ghouse": 38238, + "ghs": 14157, + "ght": 1413, + "ght": 630, + "ghted": 4963, + "ghter": 2427, + "ghters": 12994, + "ghtful": 8334, + "ghting": 3019, + "ghtly": 6993, + "ghtning": 39740, + "ghton": 16353, + "ghts": 1259, + "ghty": 20968, + "ghty": 5866, + "ghu": 25808, + "ghue": 45675, + "ghyun": 25010, + "ghz": 24325, + "gi": 707, + "gi": 4478, + "gia": 8864, + "giac": 35444, + "giam": 39623, + "gian": 17274, + "gian": 12866, + "gianni": 46752, + "giant": 23668, + "giant": 4687, + "giants": 7076, + "giar": 34241, + "gib": 9816, + "gibb": 18964, + "gibbons": 31974, + "gibbs": 26488, + "gibility": 33297, + "gible": 13159, + "gibr": 20206, + "gibraltar": 23988, + "gibson": 37420, + "gibson": 12178, + "gic": 27900, + "gic": 2570, + "gical": 32973, + "gically": 26320, + "gid": 36774, + "gid": 21413, + "giddy": 40894, + "gideon": 43867, + "gidi": 30603, + "gie": 11459, + "gie": 3991, + "gier": 28974, + "gies": 5505, + "gif": 11363, + "gif": 11677, + "gifford": 47850, + "gifs": 37643, + "gift": 20569, + "gift": 2733, + "gifted": 15110, + "giftide": 20152, + "giftideas": 23487, + "gifting": 39546, + "gifts": 5836, + "gig": 26981, + "gig": 7471, + "gigab": 34530, + "gigan": 24104, + "gigantic": 31507, + "giggle": 36426, + "giggles": 42731, + "giggs": 44692, + "gigi": 44106, + "gigi": 26171, + "gigs": 20316, + "gil": 3997, + "gil": 10088, + "gila": 46952, + "gilbert": 14154, + "gilded": 44341, + "giles": 24802, + "gill": 14280, + "gill": 12003, + "gille": 29610, + "gilles": 39590, + "gillespie": 36242, + "gillette": 38603, + "gilli": 13695, + "gillian": 28753, + "gills": 48851, + "gilmore": 27603, + "gilt": 44378, + "gim": 31284, + "gimm": 40692, + "gimme": 21525, + "gin": 3374, + "gin": 4941, + "gina": 15604, + "gine": 27482, + "ging": 10829, + "ging": 3905, + "ginger": 16287, + "ginger": 9718, + "gingerbread": 23692, + "gini": 35768, + "gino": 36521, + "gins": 18328, + "gio": 16329, + "gio": 8050, + "gion": 41226, + "gior": 14920, + "giorgio": 33271, + "giorno": 33310, + "gios": 41927, + "gious": 14419, + "giov": 21404, + "giovanni": 26574, + "gipp": 41351, + "gir": 1077, + "gir": 25481, + "gira": 16949, + "giraffe": 22826, + "giri": 31709, + "girl": 3914, + "girl": 1611, + "girlfriend": 8217, + "girlfriends": 30736, + "girlpower": 37433, + "girls": 15480, + "girls": 1917, + "girly": 29605, + "giro": 39664, + "giro": 26454, + "girona": 47842, + "giroud": 41177, + "gis": 16266, + "gis": 12773, + "gist": 21241, + "git": 16060, + "git": 20918, + "gita": 40838, + "github": 31196, + "giu": 17931, + "giuli": 29762, + "giuliani": 47739, + "giuse": 29385, + "giuseppe": 33563, + "give": 4120, + "give": 1781, + "giveaway": 5310, + "giveaways": 18974, + "giveback": 41385, + "given": 33323, + "given": 4302, + "givenchy": 38245, + "giver": 43339, + "gives": 3926, + "giveup": 35485, + "giving": 14673, + "giving": 2339, + "givingback": 49300, + "givingtuesday": 23556, + "giz": 29237, + "gk": 38953, + "gk": 18719, + "gl": 1849, + "gl": 14751, + "gla": 1523, + "gla": 36904, + "glaci": 14924, + "glacial": 40782, + "glacier": 19282, + "glaciers": 42528, + "glad": 20841, + "glad": 4761, + "glades": 37432, + "gladi": 21742, + "gladiator": 38477, + "gladiators": 41087, + "gladly": 41598, + "gladys": 43168, + "glam": 8738, + "glam": 16905, + "glamorous": 22896, + "glamour": 42876, + "glamour": 17499, + "glamping": 46167, + "glan": 40482, + "glan": 45844, + "glance": 26557, + "gland": 41441, + "glar": 48535, + "glar": 41702, + "glare": 46035, + "glas": 29935, + "glas": 43654, + "glasgo": 6757, + "glasgow": 29990, + "glasgow": 7363, + "glass": 16305, + "glass": 3313, + "glasses": 6116, + "glaston": 26848, + "glastonbury": 28233, + "glau": 39171, + "glaze": 28112, + "glazed": 24122, + "gle": 7166, + "gle": 2865, + "glee": 32379, + "glee": 21614, + "glen": 6158, + "glen": 11049, + "glend": 38332, + "glendale": 33043, + "glenn": 32004, + "glenn": 12861, + "gler": 34649, + "gley": 21998, + "gli": 5896, + "gli": 28791, + "glia": 22217, + "glide": 37321, + "glider": 41636, + "glimp": 12888, + "glimpse": 13817, + "glio": 29785, + "glit": 21079, + "glitch": 29563, + "glitter": 16528, + "glitz": 44542, + "glo": 1721, + "glo": 30474, + "glob": 13363, + "global": 6707, + "global": 2779, + "globalgoals": 33211, + "globalhealth": 46751, + "globalization": 47680, + "globally": 17775, + "globalwarming": 46017, + "globe": 19436, + "globe": 9368, + "globes": 38085, + "glock": 38818, + "glomer": 43689, + "gloom": 48594, + "gloomy": 32199, + "glori": 7270, + "gloria": 19244, + "glorious": 9171, + "glory": 36107, + "glory": 7285, + "glos": 40633, + "gloss": 38258, + "gloss": 22014, + "glossy": 29802, + "glou": 15989, + "gloucester": 28133, + "gloucester": 23835, + "gloucestershire": 33789, + "glove": 16078, + "glover": 21594, + "gloves": 12363, + "glow": 30472, + "glow": 10111, + "glowing": 18437, + "glows": 48107, + "glu": 5952, + "glu": 32281, + "glucose": 34642, + "glue": 22103, + "glued": 38135, + "gluten": 15482, + "gluten": 15524, + "glutenfree": 16138, + "gly": 13027, + "glycer": 48914, + "gm": 18743, + "gm": 5918, + "gma": 18155, + "gmail": 11119, + "gman": 41043, + "gman": 36936, + "gmb": 35934, + "gmb": 31799, + "gmbh": 46877, + "gmc": 27257, + "gmo": 23486, + "gms": 36987, + "gmt": 13803, + "gn": 2455, + "gn": 9831, + "gna": 23009, + "gnation": 45912, + "gne": 25407, + "gni": 5104, + "gnment": 25110, + "gno": 23376, + "gno": 43686, + "gnocchi": 48299, + "gnome": 33643, + "gnon": 20561, + "go": 650, + "go": 861, + "goa": 14399, + "goal": 9003, + "goal": 3321, + "goalie": 20723, + "goalkeeper": 16601, + "goals": 3295, + "goalscorer": 43547, + "goaltender": 44151, + "goat": 34082, + "goat": 9530, + "goats": 18393, + "gob": 29559, + "gobeavs": 48285, + "goblin": 26223, + "goblue": 25232, + "gobucks": 29175, + "gocougs": 34202, + "god": 4190, + "god": 1731, + "godawgs": 40436, + "godbless": 46616, + "godbless": 44007, + "godd": 16589, + "goddamn": 28495, + "goddard": 37827, + "goddess": 10808, + "godfather": 26222, + "godfrey": 40148, + "godis": 38521, + "godly": 42438, + "gods": 33620, + "gods": 10328, + "goducks": 35889, + "godzilla": 23369, + "goe": 22084, + "goers": 27784, + "goes": 43581, + "goes": 2635, + "gof": 17537, + "goff": 34399, + "goftheday": 39360, + "gofund": 34445, + "gofundme": 34686, + "gog": 42949, + "goggles": 31027, + "gogh": 19697, + "gogo": 22688, + "gogreen": 36279, + "gohawks": 34884, + "goi": 24917, + "goin": 13939, + "going": 25787, + "going": 1245, + "goku": 29550, + "gol": 1537, + "gol": 18257, + "gola": 41090, + "gold": 4999, + "gold": 2209, + "goldberg": 25161, + "goldcoast": 34634, + "golden": 10763, + "golden": 3878, + "goldeng": 20650, + "goldenglobes": 26842, + "goldfish": 40293, + "goldie": 42805, + "goldman": 27164, + "golds": 30526, + "golds": 40283, + "goldsmith": 40214, + "gole": 41297, + "golf": 9096, + "golf": 3096, + "golfclub": 45742, + "golfer": 24579, + "golfers": 28441, + "golfing": 31379, + "goli": 29265, + "goliath": 41602, + "gom": 7051, + "goma": 46198, + "gomes": 39128, + "gomez": 16433, + "gon": 1854, + "gon": 3379, + "gona": 34835, + "gone": 35135, + "gone": 3601, + "gong": 28486, + "gonna": 2562, + "gonz": 10587, + "gonzaga": 36241, + "gonzale": 17512, + "gonzales": 31265, + "gonzalez": 18198, + "goo": 1381, + "goo": 17882, + "good": 2185, + "good": 886, + "goodbye": 6968, + "goodday": 46284, + "goode": 42076, + "goodfood": 46844, + "goodfriday": 40360, + "goodie": 29213, + "goodies": 13308, + "goodluck": 19718, + "goodman": 24146, + "goodmorning": 14421, + "goodness": 10531, + "goodnight": 8540, + "goodreads": 31629, + "goods": 9340, + "goodtimes": 22570, + "goodvibes": 43146, + "goodwill": 24902, + "goodwin": 28080, + "goodwood": 30008, + "goody": 35937, + "goodyear": 42858, + "goofy": 26879, + "goog": 18581, + "google": 12195, + "google": 3460, + "googled": 40345, + "googleplay": 37309, + "goon": 15267, + "goons": 30440, + "goooo": 35876, + "goooo": 48957, + "goose": 21445, + "goose": 13822, + "goosebumps": 32254, + "gop": 18942, + "gop": 6250, + "gopack": 46995, + "gopackgo": 47719, + "gopal": 47268, + "gopdebate": 39806, + "gopher": 47750, + "gopher": 48905, + "gophers": 31957, + "gopro": 17511, + "gor": 1747, + "gor": 29827, + "gordo": 47707, + "gordon": 20485, + "gordon": 8244, + "gore": 30311, + "gore": 17872, + "gorg": 46815, + "gorge": 35548, + "gorge": 20038, + "gorgeous": 3241, + "gori": 12461, + "goria": 43359, + "gorilla": 37910, + "gorilla": 21994, + "gorman": 35741, + "goro": 44977, + "gory": 7160, + "gos": 20517, + "gos": 5693, + "gosh": 15395, + "gosling": 35320, + "gosp": 9617, + "gospel": 11313, + "goss": 39734, + "goss": 36924, + "gossi": 15684, + "gossip": 18963, + "got": 10125, + "got": 1005, + "gota": 36693, + "gotcha": 43275, + "gote": 49345, + "goth": 48465, + "goth": 20437, + "gotham": 46123, + "gotham": 18299, + "gothic": 15426, + "goti": 9497, + "goto": 39715, + "gots": 35215, + "gott": 5089, + "gott": 36466, + "gotta": 4633, + "gotten": 5889, + "gotti": 41881, + "gotv": 36089, + "gou": 10520, + "gou": 36555, + "gouache": 43314, + "goul": 33187, + "gould": 31087, + "gour": 13580, + "gourmet": 19111, + "gov": 4022, + "gov": 4564, + "gove": 36997, + "govegan": 38886, + "gover": 10471, + "gover": 16759, + "govern": 2351, + "govern": 32404, + "governance": 13386, + "governing": 30946, + "government": 3149, + "governmental": 42609, + "governments": 19582, + "governor": 17459, + "governor": 6630, + "governors": 26881, + "govin": 42451, + "govt": 5345, + "govuk": 28830, + "gow": 21885, + "gow": 33788, + "gowan": 31307, + "gower": 43448, + "gown": 13719, + "gowns": 38029, + "goyal": 35105, + "gp": 19329, + "gp": 5051, + "gpa": 24098, + "gps": 13639, + "gpu": 38561, + "gq": 40286, + "gq": 31324, + "gr": 709, + "gr": 6062, + "gra": 782, + "gra": 15276, + "grab": 4646, + "grabbed": 22856, + "grabbing": 26440, + "grabs": 17076, + "grac": 11323, + "grace": 13225, + "grace": 5142, + "graced": 31894, + "graceful": 25242, + "graces": 38629, + "graci": 11174, + "gracias": 16463, + "gracie": 23235, + "gracing": 37263, + "gracious": 29044, + "grad": 19869, + "grad": 7291, + "gradable": 41529, + "grade": 45435, + "grade": 3394, + "graded": 13823, + "grader": 23930, + "graders": 10930, + "grades": 10838, + "gradient": 36885, + "grading": 19016, + "grads": 17811, + "gradu": 3230, + "gradual": 45210, + "gradually": 32192, + "graduate": 6675, + "graduated": 15128, + "graduates": 12236, + "graduating": 14819, + "graduation": 8060, + "grady": 33980, + "graeme": 30192, + "graf": 46478, + "graf": 39765, + "graff": 10656, + "graffiti": 11676, + "graft": 32698, + "grafton": 47347, + "graham": 19805, + "graham": 7711, + "grail": 37184, + "grain": 44003, + "grain": 12109, + "grains": 25791, + "gral": 25631, + "gram": 2949, + "gram": 2338, + "grammar": 16077, + "grammy": 15388, + "grammys": 18121, + "grams": 6294, + "gran": 3892, + "gran": 14493, + "granada": 31172, + "grand": 3058, + "grand": 2991, + "grandad": 29148, + "grandchildren": 36856, + "granddaughter": 29460, + "grande": 37514, + "grande": 10757, + "grandes": 36382, + "grandfather": 15346, + "grandma": 10525, + "grandmother": 17469, + "grandpa": 14582, + "grandparents": 21311, + "grandprix": 39358, + "grandson": 20766, + "grandstand": 43172, + "grange": 45027, + "grange": 23850, + "granger": 42968, + "granite": 18813, + "grann": 45585, + "granny": 22710, + "granola": 34271, + "grant": 18682, + "grant": 5442, + "granted": 14156, + "granth": 41283, + "grants": 15123, + "grape": 19131, + "grape": 15959, + "grapefruit": 28347, + "grapes": 18580, + "grapevine": 47619, + "graph": 1349, + "graph": 4407, + "graphene": 38387, + "grapher": 14987, + "graphers": 32088, + "graphic": 15653, + "graphic": 4245, + "graphical": 20878, + "graphicdesign": 21907, + "graphics": 9492, + "graphies": 40164, + "graphite": 29447, + "graphs": 24670, + "graphy": 4897, + "grapp": 30843, + "gras": 31517, + "gras": 17584, + "grasp": 34975, + "grass": 11584, + "grass": 5922, + "grasses": 46807, + "grasshopper": 48894, + "grassi": 42294, + "grasso": 34808, + "grassroots": 21991, + "grassy": 44140, + "grat": 9221, + "grate": 32463, + "grateful": 45659, + "grateful": 5730, + "grati": 36402, + "gratis": 33638, + "gratitude": 12614, + "grav": 20663, + "grave": 16606, + "grave": 9981, + "gravel": 27054, + "graves": 17665, + "graveyard": 31176, + "gravit": 26150, + "gravitational": 45268, + "gravity": 47426, + "gravity": 15160, + "gravy": 21225, + "gray": 12703, + "gray": 7048, + "grays": 46848, + "grayson": 45831, + "grayson": 25471, + "grazi": 42427, + "grazie": 38698, + "grazing": 29889, + "grc": 44069, + "gre": 689, + "gre": 17878, + "grease": 24132, + "greasy": 44376, + "great": 3265, + "great": 830, + "greate": 31930, + "greater": 32725, + "greater": 7033, + "greatest": 39080, + "greatest": 4153, + "greatly": 13978, + "greatness": 14189, + "greats": 21855, + "greaves": 42350, + "greco": 39103, + "gree": 9987, + "gree": 30774, + "greece": 6965, + "greed": 26147, + "greedy": 33301, + "greek": 23844, + "greek": 6842, + "greeks": 35866, + "green": 2762, + "green": 1901, + "greenberg": 46662, + "greene": 16383, + "greener": 31169, + "greenery": 42493, + "greenfield": 39924, + "greeng": 42077, + "greenhouse": 20819, + "greening": 48673, + "greenland": 27345, + "greenpeace": 44755, + "greens": 10235, + "greensboro": 33436, + "greenville": 25156, + "greenway": 35205, + "greenwich": 18658, + "greenwood": 25782, + "greer": 34345, + "greet": 11042, + "greet": 11997, + "greeted": 24546, + "greeting": 17754, + "greetings": 11569, + "greets": 25464, + "greg": 6894, + "greg": 7943, + "gregation": 20131, + "gregg": 39422, + "gregg": 22929, + "gregor": 33856, + "gregor": 16177, + "gregory": 16253, + "gren": 13941, + "gren": 20119, + "grenade": 33679, + "grenfell": 42107, + "gres": 39670, + "gress": 2752, + "gret": 30041, + "greta": 33443, + "gretchen": 45516, + "grette": 38774, + "grew": 10451, + "grey": 9190, + "grey": 5046, + "greyhound": 27363, + "greyhounds": 45718, + "greys": 44311, + "greysanatomy": 36833, + "gri": 2169, + "gri": 18484, + "grid": 29067, + "grid": 9882, + "gridi": 41063, + "gridiron": 47786, + "grids": 46500, + "grief": 21058, + "grier": 22016, + "griev": 36400, + "grieving": 42383, + "griez": 47962, + "griezmann": 48396, + "griff": 17855, + "griff": 35551, + "griffi": 28676, + "griffin": 46612, + "griffin": 13161, + "griffith": 24375, + "griffiths": 34182, + "gril": 49091, + "grill": 44083, + "grill": 9519, + "grille": 34748, + "grilled": 10691, + "grilling": 28324, + "grills": 39464, + "grim": 20383, + "grim": 23635, + "grime": 37101, + "grimes": 25057, + "grimm": 27865, + "grims": 34861, + "grimsby": 41513, + "grin": 11033, + "grin": 28697, + "grinch": 40527, + "grind": 25730, + "grind": 11810, + "grinder": 31733, + "grinding": 21541, + "gring": 40135, + "grip": 15521, + "gripping": 34567, + "grips": 27819, + "gris": 29150, + "grit": 22037, + "grit": 22087, + "grits": 44307, + "gritty": 33704, + "grizz": 14877, + "grizz": 44088, + "grizzlies": 25594, + "grizzly": 29676, + "grl": 48005, + "gro": 1464, + "gro": 12691, + "grocer": 11633, + "groceries": 32409, + "grocery": 13826, + "grom": 45284, + "gron": 22345, + "groningen": 45639, + "groo": 9015, + "groom": 39883, + "groom": 22813, + "grooming": 25575, + "groot": 37708, + "groove": 39484, + "groove": 17680, + "grooves": 43954, + "groovy": 30143, + "gros": 26834, + "gros": 32639, + "gross": 31080, + "gross": 11541, + "grosven": 46911, + "grote": 47207, + "grotto": 45260, + "grou": 1582, + "groun": 45110, + "ground": 9558, + "ground": 2461, + "groundbreaking": 21006, + "grounded": 27799, + "grounds": 8454, + "groundwater": 39457, + "group": 19045, + "group": 1771, + "groupe": 47654, + "groups": 6776, + "grouse": 36327, + "grove": 31756, + "grove": 7463, + "grover": 31345, + "groves": 27306, + "grow": 3179, + "grow": 4559, + "grower": 44925, + "growers": 25689, + "growing": 28429, + "growing": 4425, + "growingup": 43433, + "growler": 47096, + "grown": 41762, + "grown": 7120, + "grows": 13352, + "growth": 17925, + "growth": 4026, + "growthhacking": 25963, + "grp": 27321, + "grt": 28557, + "gru": 5957, + "grub": 34019, + "grue": 42047, + "gruesome": 47111, + "grum": 45454, + "grump": 49015, + "grumpy": 23610, + "grun": 16203, + "grunge": 33745, + "gry": 16140, + "gry": 5364, + "gs": 25818, + "gs": 1345, + "gsa": 40433, + "gsc": 47751, + "gshore": 43392, + "gsm": 32181, + "gsp": 49173, + "gst": 22239, + "gt": 16151, + "gt": 4725, + "gta": 14826, + "gta": 15338, + "gtaonline": 27292, + "gtav": 27283, + "gti": 39954, + "gto": 39071, + "gtr": 33407, + "gts": 37338, + "gtx": 35230, + "gu": 700, + "gu": 12916, + "gua": 23751, + "guacam": 37477, + "guacamole": 40115, + "guad": 22966, + "guadal": 46097, + "guadalu": 36994, + "guadalupe": 38360, + "guam": 37325, + "guan": 44191, + "guan": 42406, + "guang": 27019, + "guangzhou": 37857, + "guar": 4119, + "guaran": 9242, + "guarantee": 17421, + "guaranteed": 14731, + "guarantees": 40154, + "guard": 30776, + "guard": 4901, + "guarded": 40602, + "guardi": 12008, + "guardia": 43628, + "guardian": 23713, + "guardian": 9498, + "guardians": 21479, + "guarding": 24966, + "guardiola": 32100, + "guards": 12810, + "guatem": 19423, + "guatemala": 21670, + "guay": 48591, + "guay": 24247, + "gubernat": 41400, + "gubernatorial": 41618, + "gucci": 16779, + "gud": 48061, + "gud": 22378, + "gue": 2030, + "gue": 2917, + "gued": 38893, + "guel": 23146, + "guelph": 27660, + "guer": 10391, + "guern": 29277, + "guernsey": 33982, + "guerra": 38215, + "guerrero": 31967, + "guerrilla": 36715, + "gues": 39971, + "gues": 12601, + "guess": 35506, + "guess": 3135, + "guessed": 28005, + "guesses": 30623, + "guessing": 21891, + "guest": 27349, + "guest": 3781, + "guests": 6212, + "guet": 36797, + "guetta": 45904, + "guez": 12313, + "gug": 31358, + "guggen": 35086, + "guggenheim": 37135, + "gui": 2587, + "gui": 25746, + "guid": 11437, + "guidance": 12508, + "guide": 21845, + "guide": 3555, + "guided": 13194, + "guidelines": 16591, + "guides": 14375, + "guiding": 22759, + "guido": 41818, + "guil": 5008, + "guild": 19755, + "guild": 16597, + "guildford": 34450, + "guildhall": 47224, + "guillau": 41123, + "guillaume": 45394, + "guiller": 33660, + "guillermo": 39524, + "guilt": 26354, + "guilty": 9761, + "guin": 13284, + "guin": 47863, + "guine": 13759, + "guinea": 18537, + "guinness": 16648, + "guire": 18209, + "guise": 42024, + "guit": 3759, + "guitar": 21746, + "guitar": 5084, + "guitarist": 13035, + "guitars": 15023, + "guj": 34935, + "gujar": 12698, + "gujarat": 14714, + "guk": 20280, + "gul": 5530, + "gul": 21350, + "gula": 27426, + "gular": 34969, + "gulf": 22101, + "gulf": 11279, + "gull": 48764, + "gull": 28778, + "gulls": 37501, + "gully": 46112, + "gum": 22041, + "gum": 11235, + "gumb": 40147, + "gumbo": 47126, + "gummy": 34276, + "gums": 46609, + "gun": 2748, + "gun": 3496, + "guna": 43333, + "gundam": 26087, + "gundy": 21162, + "gunman": 32743, + "gunmen": 44738, + "gunn": 27473, + "gunna": 24002, + "gunnar": 45301, + "gunner": 35285, + "gunners": 37788, + "guns": 7591, + "gunsense": 44781, + "gunshot": 49250, + "gunsn": 49028, + "gup": 38632, + "gup": 47335, + "gupta": 15905, + "gur": 3218, + "gur": 30224, + "gura": 46836, + "gurgaon": 33240, + "guri": 43888, + "gurl": 25445, + "gurmee": 35482, + "gurmeetramrahim": 36549, + "guru": 18629, + "guru": 10800, + "gurudev": 48647, + "gus": 8018, + "gust": 24629, + "gusta": 23024, + "gusta": 44196, + "gustav": 32062, + "gustav": 37921, + "gustave": 43170, + "gustavo": 45943, + "gusto": 37937, + "gusts": 20896, + "gusty": 27589, + "gut": 24780, + "gut": 13486, + "guter": 44963, + "guterres": 48738, + "guth": 31696, + "guthrie": 33164, + "gutier": 32773, + "gutierrez": 33739, + "guts": 25983, + "gutted": 26524, + "gutter": 40537, + "guwa": 43063, + "guwahati": 45045, + "guy": 10008, + "guy": 2149, + "guyana": 45215, + "guyen": 28031, + "guys": 43588, + "guys": 1791, + "guyz": 48170, + "guzman": 37960, + "gv": 15462, + "gv": 17336, + "gw": 7172, + "gw": 15717, + "gwen": 32165, + "gwen": 24182, + "gwin": 43005, + "gwy": 32226, + "gwyne": 36923, + "gx": 40227, + "gy": 2168, + "gy": 1164, + "gya": 43214, + "gyan": 43814, + "gye": 21728, + "gyllen": 49348, + "gym": 9902, + "gym": 5222, + "gymna": 13517, + "gymnasium": 42847, + "gymnast": 42658, + "gymnastics": 20116, + "gyn": 39603, + "gyne": 45836, + "gyp": 40053, + "gypsy": 22354, + "gypt": 41921, + "gz": 45937, + "gz": 35841, + "gö": 40778, + "gü": 31907, + "h": 71, + "h": 327, + "ha": 560, + "ha": 1429, + "haa": 26814, + "haal": 35869, + "haan": 36284, + "haar": 45247, + "haar": 35859, + "haas": 27443, + "haasan": 26601, + "hab": 20573, + "hab": 20002, + "haban": 46225, + "haber": 44737, + "habit": 8491, + "habit": 17215, + "habitat": 11747, + "habitats": 35344, + "habits": 14540, + "habs": 27489, + "hac": 20343, + "hace": 43623, + "haci": 40674, + "hack": 6610, + "hack": 11182, + "hackathon": 25182, + "hacked": 19575, + "hacker": 22376, + "hackers": 21498, + "hacking": 12939, + "hackney": 48811, + "hackney": 24928, + "hacks": 19965, + "had": 10660, + "had": 1100, + "hadi": 39058, + "hadid": 26415, + "hadith": 46907, + "hadley": 44995, + "hadn": 21480, + "hadoop": 43868, + "hae": 30723, + "hae": 27193, + "hafi": 39914, + "hag": 26855, + "hag": 43207, + "hagan": 47489, + "hagen": 14664, + "hager": 48773, + "hagg": 26324, + "hague": 28988, + "hah": 18108, + "hah": 13680, + "haha": 1913, + "haha": 3060, + "hahah": 27253, + "hahah": 15441, + "hahaha": 4722, + "hahahah": 37513, + "hahahah": 20096, + "hahahaha": 8058, + "hahahaha": 9501, + "hahahahah": 33334, + "hahahahaha": 16347, + "hahahahahaha": 26487, + "hahahahahahaha": 43653, + "hahahahahahahaha": 36126, + "hahahha": 49205, + "hahn": 35596, + "hai": 8734, + "hai": 5234, + "haider": 42200, + "haiku": 19542, + "hail": 15272, + "hail": 8634, + "hailed": 44604, + "hailey": 27703, + "hailing": 47288, + "hails": 32571, + "hailstate": 35063, + "hain": 23861, + "hair": 4658, + "hair": 2225, + "haircare": 43682, + "haircut": 14711, + "hairdresser": 47468, + "haired": 27202, + "hairs": 27951, + "hairstyle": 22324, + "hairstyles": 40627, + "hairy": 26513, + "haiti": 17368, + "haitian": 37577, + "haj": 27885, + "haj": 43191, + "haji": 41889, + "hajj": 35576, + "hak": 25142, + "hak": 40671, + "haka": 44011, + "hake": 41663, + "hal": 1296, + "hal": 8708, + "hala": 25918, + "halal": 34216, + "halam": 29061, + "halamadrid": 31132, + "halder": 32201, + "hale": 37038, + "hale": 14701, + "halen": 39204, + "halep": 49017, + "haley": 37330, + "haley": 16839, + "half": 7453, + "half": 2349, + "halftime": 13742, + "halfway": 16736, + "hali": 9860, + "hali": 43030, + "halibut": 49030, + "halifax": 13411, + "hall": 6850, + "hall": 2140, + "halla": 29569, + "halle": 27763, + "halle": 32239, + "hallelujah": 36993, + "halli": 32665, + "hallmark": 31040, + "hallmark": 32053, + "hallmarkchannel": 36840, + "hallo": 3463, + "halloffame": 48578, + "halloween": 28537, + "halloween": 3739, + "halls": 18052, + "hallucin": 35385, + "hallway": 26845, + "halo": 33331, + "halo": 11918, + "halsey": 34256, + "halt": 25640, + "halter": 47194, + "halton": 45445, + "ham": 1522, + "ham": 1714, + "hama": 17944, + "hamas": 14818, + "hamburg": 18409, + "hamburger": 33928, + "hamid": 32377, + "hamil": 6725, + "hamill": 45784, + "hamill": 48729, + "hamillhimself": 47324, + "hamilton": 22448, + "hamilton": 7684, + "hamlet": 27722, + "hamlin": 49326, + "hamm": 46110, + "hammer": 15331, + "hammer": 9401, + "hammered": 37251, + "hammers": 35649, + "hammersmith": 42127, + "hammock": 33682, + "hammond": 21761, + "hamont": 18518, + "hamp": 6665, + "hamper": 27692, + "hampshire": 16006, + "hampstead": 37340, + "hampton": 36582, + "hampton": 12285, + "hamptons": 42415, + "hamr": 47979, + "hamradio": 36712, + "hams": 25619, + "hamster": 33313, + "hamstring": 39990, + "hamza": 45762, + "han": 1545, + "han": 3565, + "hana": 16801, + "hand": 1722, + "hand": 2463, + "handbag": 22654, + "handbags": 35667, + "handball": 27988, + "handbook": 25147, + "handcrafted": 22185, + "handed": 10881, + "handedly": 48656, + "handel": 40072, + "handful": 23725, + "handheld": 26812, + "handic": 17812, + "handicap": 27063, + "handicapp": 42349, + "handing": 19196, + "handle": 43681, + "handle": 7245, + "handled": 26824, + "handler": 29097, + "handles": 22124, + "handling": 14071, + "handmade": 18054, + "handmade": 6737, + "handmadehour": 25724, + "handover": 46922, + "hands": 3500, + "handshake": 38418, + "handsome": 7438, + "handwriting": 29986, + "handwritten": 35192, + "handy": 13479, + "hane": 28411, + "hang": 3351, + "hang": 5592, + "hangar": 33439, + "hanged": 40807, + "hanger": 28905, + "hangin": 22670, + "hanging": 4850, + "hangout": 17572, + "hangover": 20755, + "hangs": 21785, + "hani": 39944, + "hani": 18374, + "hank": 35993, + "hank": 17655, + "hanks": 29943, + "hanley": 47284, + "hann": 5584, + "hanna": 10075, + "hannah": 18622, + "hannah": 9142, + "hannel": 43477, + "hanni": 19493, + "hannibal": 25149, + "hannity": 24569, + "hannover": 39976, + "hanoi": 36134, + "hanover": 33246, + "hans": 35172, + "hans": 16628, + "hansen": 19729, + "hanson": 24602, + "hant": 40641, + "hanuk": 32774, + "hanukkah": 34247, + "hanuman": 46975, + "hao": 27184, + "hap": 44981, + "hap": 47988, + "happ": 784, + "happen": 21486, + "happen": 4506, + "happened": 4402, + "happening": 4284, + "happeningnow": 43107, + "happenings": 41998, + "happens": 4988, + "happier": 14118, + "happiest": 13811, + "happily": 17316, + "happiness": 5096, + "happy": 2952, + "happy": 900, + "happybirthday": 9651, + "happybirthday": 12207, + "happydays": 25106, + "happye": 33922, + "happyeaster": 38745, + "happyfathersday": 43534, + "happyfriday": 33340, + "happyhalloween": 28750, + "happyholidays": 32186, + "happyhour": 32036, + "happymonday": 47364, + "happymothersday": 42425, + "happynewyear": 18655, + "happythanksgiving": 40593, + "happyvalentinesday": 42403, + "haps": 9114, + "haq": 32445, + "har": 915, + "har": 5888, + "hara": 10367, + "haram": 35732, + "haram": 22950, + "haran": 27921, + "harare": 43562, + "haras": 26644, + "harass": 16481, + "harassed": 43067, + "harassment": 16641, + "harat": 28984, + "harb": 5856, + "harbaugh": 45220, + "harbor": 40686, + "harbor": 10202, + "harbour": 35430, + "harbour": 10011, + "harcourt": 48093, + "hard": 3312, + "hard": 1626, + "hardcover": 31123, + "harden": 27350, + "harder": 12274, + "hardest": 15258, + "hardin": 43802, + "harding": 24382, + "hardly": 17363, + "hardro": 28126, + "hardrock": 48365, + "hardrock": 40739, + "hards": 44048, + "hardship": 45085, + "hardt": 17922, + "hardware": 11957, + "hardwell": 45572, + "hardwick": 46864, + "hardwood": 28167, + "hardwork": 42554, + "hardwork": 27404, + "hardworking": 28095, + "hardworkpaysoff": 49193, + "hardy": 48179, + "hardy": 14113, + "hare": 27903, + "hare": 18464, + "harga": 39738, + "hari": 25472, + "hari": 8981, + "harlan": 49133, + "harle": 29096, + "harlem": 17771, + "harley": 24702, + "harley": 13632, + "harleydavidson": 39183, + "harlow": 34113, + "harm": 16656, + "harm": 14452, + "harman": 42434, + "harmed": 39637, + "harmful": 21725, + "harmless": 44369, + "harmon": 10828, + "harmon": 28729, + "harmony": 10785, + "harms": 46703, + "harne": 43323, + "harness": 23205, + "harold": 16917, + "harp": 27339, + "harper": 31288, + "harper": 12634, + "harri": 6639, + "harrier": 37372, + "harriet": 27154, + "harrington": 34340, + "harris": 25356, + "harris": 6925, + "harrisburg": 40590, + "harrison": 34389, + "harrison": 10540, + "harro": 18939, + "harrogate": 30842, + "harrow": 38807, + "harry": 11094, + "harry": 3600, + "harrypotter": 23375, + "harsh": 30596, + "harsh": 16944, + "hart": 9335, + "hart": 7752, + "hartford": 23434, + "harth": 35619, + "hartle": 47482, + "hartley": 31268, + "hartman": 43294, + "haru": 35099, + "harvard": 28118, + "harvard": 12848, + "harve": 6405, + "harvest": 44495, + "harvest": 8971, + "harvested": 35899, + "harvesting": 26674, + "harvey": 33289, + "harvey": 9586, + "harvick": 46983, + "haryana": 27661, + "has": 13855, + "has": 791, + "hasan": 30049, + "hasbro": 37405, + "hash": 6338, + "hash": 19199, + "hashi": 41831, + "hashmi": 35852, + "hashtag": 34015, + "hashtag": 9238, + "hashtags": 23514, + "haskell": 48550, + "hasn": 9143, + "hass": 9298, + "hassan": 15829, + "hassee": 37117, + "hassel": 32204, + "hassle": 35762, + "hast": 18146, + "hasta": 36623, + "hastings": 22035, + "hat": 3447, + "hat": 3801, + "hatch": 24202, + "hatch": 17809, + "hatchback": 42348, + "hatched": 42158, + "hate": 23546, + "hate": 3753, + "hated": 21298, + "hateful": 36418, + "hater": 36917, + "haters": 14027, + "hates": 14957, + "hatfield": 38448, + "hath": 27894, + "hath": 34416, + "hathaway": 31801, + "hati": 26045, + "hating": 25668, + "hatred": 19046, + "hats": 9812, + "hatt": 8747, + "hatton": 44861, + "hau": 5152, + "hauer": 48751, + "haul": 23743, + "haul": 12332, + "hauled": 46620, + "hauling": 43132, + "haun": 9676, + "haunt": 31039, + "haunted": 14944, + "haunting": 24034, + "haunts": 48035, + "haus": 41755, + "haus": 16478, + "hausen": 33338, + "hauser": 46586, + "haute": 28854, + "hav": 13443, + "hav": 20447, + "havan": 36304, + "havana": 23357, + "havas": 46261, + "have": 18053, + "have": 720, + "haven": 33074, + "haven": 3871, + "havent": 29130, + "haver": 27876, + "haves": 49088, + "havin": 31937, + "having": 1977, + "havoc": 24447, + "haw": 2788, + "haw": 26954, + "hawa": 6067, + "hawa": 46278, + "hawai": 15800, + "hawaii": 32413, + "hawaii": 8265, + "hawaiian": 17734, + "hawan": 27765, + "hawk": 14704, + "hawk": 8218, + "hawke": 38178, + "hawker": 39051, + "hawkeye": 38666, + "hawkeyes": 34266, + "hawking": 33437, + "hawkins": 19740, + "hawks": 44806, + "hawks": 5841, + "hawthorn": 45372, + "hawthorne": 36730, + "hay": 4871, + "hay": 11367, + "haya": 41325, + "hayat": 49360, + "hayden": 19806, + "haydn": 48207, + "haye": 36583, + "hayes": 13555, + "hayley": 39986, + "hayley": 22204, + "haynes": 30496, + "hays": 41524, + "hayward": 29400, + "haz": 5040, + "haz": 39921, + "hazard": 26174, + "hazard": 15178, + "hazardous": 27102, + "hazards": 30639, + "haze": 22785, + "hazel": 19838, + "hazel": 21882, + "hazelnut": 35816, + "hazi": 22740, + "hazmat": 48887, + "hazrat": 45775, + "hazy": 32655, + "hb": 6854, + "hb": 12576, + "hbcu": 40008, + "hbd": 25277, + "hbd": 13594, + "hbo": 15252, + "hc": 15831, + "hc": 7821, + "hcs": 46850, + "hd": 11601, + "hd": 4414, + "hdd": 40508, + "hdmi": 33302, + "hdr": 28065, + "he": 651, + "he": 797, + "hea": 27150, + "hea": 32790, + "head": 1603, + "head": 1375, + "headache": 23849, + "headaches": 38025, + "headband": 28556, + "headed": 6153, + "header": 11077, + "heading": 4409, + "headless": 45219, + "headlights": 42422, + "headline": 10891, + "headliner": 38880, + "headlines": 14706, + "headlining": 26971, + "headphone": 37524, + "headphones": 14906, + "headquarters": 13041, + "heads": 5174, + "headset": 23883, + "headshot": 34890, + "heal": 1231, + "heal": 13833, + "healed": 31456, + "healer": 38328, + "healey": 38985, + "healing": 9295, + "heals": 32384, + "health": 2145, + "health": 1728, + "healthand": 43704, + "healthcare": 42500, + "healthcare": 6023, + "healthier": 18242, + "healthtech": 42694, + "healthy": 10330, + "healthy": 3782, + "healthye": 31532, + "healthyeating": 33761, + "healthyfood": 39996, + "healthylifestyle": 46254, + "healthyliving": 27293, + "healy": 34299, + "heap": 34781, + "heaps": 44446, + "hear": 2749, + "hear": 2584, + "heard": 4063, + "hearing": 46353, + "hearing": 5541, + "hearings": 33175, + "hearn": 36613, + "hears": 25395, + "heart": 4975, + "heart": 1936, + "heartbeat": 29154, + "heartbreak": 29281, + "heartbreaking": 21322, + "heartbroken": 35383, + "hearted": 21679, + "heartfelt": 22904, + "hearth": 31563, + "hearthstone": 34054, + "hearti": 29345, + "hearties": 44572, + "heartland": 31923, + "heartless": 47022, + "heartnews": 40426, + "hearts": 5516, + "heartw": 30002, + "heartwarming": 34080, + "hearty": 26994, + "heat": 12175, + "heat": 4403, + "heated": 17057, + "heater": 23246, + "heath": 12794, + "heath": 11719, + "heather": 20230, + "heather": 12470, + "heathrow": 24171, + "heating": 12478, + "heaton": 34557, + "heats": 36106, + "heatwave": 25726, + "heav": 2409, + "heaven": 15520, + "heaven": 5545, + "heavenly": 19117, + "heavens": 26026, + "heavier": 31253, + "heaviest": 33268, + "heavily": 14123, + "heavy": 12048, + "heavy": 4200, + "heavymetal": 39804, + "heavyweight": 17448, + "heb": 24700, + "heb": 34515, + "hebdo": 41817, + "hebrew": 27298, + "hebrides": 45121, + "hebron": 45725, + "hec": 18932, + "heck": 22985, + "heck": 14427, + "hectares": 44162, + "hectic": 37245, + "hector": 25852, + "hed": 18271, + "hedge": 16229, + "hedge": 20294, + "hedgehog": 21940, + "hedges": 41345, + "hee": 18364, + "hee": 15773, + "heechul": 42487, + "heed": 15118, + "heel": 33646, + "heel": 16861, + "heels": 10909, + "heem": 30061, + "heer": 40473, + "hef": 29473, + "heff": 48756, + "hefty": 48584, + "heg": 41995, + "heh": 25834, + "hehe": 48723, + "hehe": 10658, + "hehehe": 24138, + "hei": 6101, + "hei": 29051, + "heidel": 42927, + "heidelberg": 48445, + "heidi": 44860, + "heidi": 23867, + "heifer": 48219, + "heigh": 43883, + "height": 10788, + "heights": 8418, + "heim": 10931, + "heim": 9768, + "heimer": 39517, + "hein": 15487, + "hein": 43206, + "heine": 28742, + "heineken": 36874, + "heinrich": 47877, + "heinz": 32359, + "heir": 27083, + "heir": 34007, + "heirloom": 34232, + "heirs": 43834, + "heis": 21849, + "heisman": 34537, + "heist": 31035, + "heit": 37255, + "hel": 919, + "hel": 11579, + "hela": 48212, + "held": 4042, + "hele": 46129, + "helen": 17576, + "helen": 11291, + "helena": 23109, + "helene": 41591, + "helens": 45940, + "heli": 33874, + "heli": 40183, + "helicop": 10035, + "helicopter": 11956, + "helicopters": 26922, + "helium": 46505, + "helix": 35247, + "hell": 8410, + "hell": 4141, + "hella": 19800, + "hellboy": 48428, + "helle": 48600, + "helle": 46968, + "hellenic": 42544, + "heller": 44464, + "hello": 12887, + "hello": 3306, + "hells": 47989, + "helly": 48690, + "helm": 47970, + "helm": 19520, + "helmet": 11122, + "helmets": 21843, + "help": 8641, + "help": 1318, + "helped": 4845, + "helper": 29321, + "helpers": 36316, + "helpful": 12695, + "helping": 3875, + "helpless": 47638, + "helpline": 43101, + "helps": 5144, + "helsin": 17842, + "helsinki": 19626, + "hem": 20270, + "hem": 11148, + "hemi": 14256, + "hemi": 46856, + "heming": 30819, + "hemingway": 33470, + "hemisphere": 32767, + "hemmings": 34882, + "hemo": 43788, + "hemp": 28225, + "hemp": 18467, + "hems": 32451, + "hemsworth": 39428, + "hen": 2385, + "hen": 8047, + "hence": 23640, + "hend": 11560, + "hender": 49248, + "henderson": 14348, + "hendrick": 45296, + "hendricks": 37588, + "hendrix": 23605, + "henge": 33104, + "henley": 27853, + "henna": 39455, + "hennessy": 42667, + "henri": 19431, + "henri": 21610, + "henrik": 35772, + "henry": 16018, + "henry": 5508, + "hens": 31742, + "henson": 32935, + "hep": 17724, + "hep": 48791, + "hepat": 23767, + "hepatitis": 32169, + "hepburn": 26348, + "her": 1223, + "her": 899, + "hera": 38724, + "heral": 37809, + "herald": 27625, + "herald": 12851, + "herb": 26116, + "herb": 15302, + "herbal": 21868, + "herbali": 44087, + "herbalife": 48364, + "herbert": 19935, + "herbs": 17320, + "hercules": 26539, + "herd": 36142, + "herd": 18589, + "here": 9134, + "here": 763, + "hered": 47976, + "hereford": 35543, + "heres": 13566, + "hereto": 47673, + "heri": 31392, + "herit": 4720, + "heritag": 38273, + "heritage": 20962, + "heritage": 5455, + "herman": 31890, + "herman": 21568, + "hermann": 40942, + "hermes": 34563, + "hermi": 35265, + "hermione": 45502, + "hermit": 43953, + "hermitage": 47706, + "hermo": 40967, + "hermosa": 42531, + "hern": 30571, + "hern": 43576, + "hernandez": 17707, + "hero": 7338, + "hero": 3756, + "heroes": 38010, + "heroes": 5506, + "heroic": 24255, + "heroin": 23841, + "heroine": 27420, + "heron": 22593, + "heros": 37642, + "herr": 38537, + "herrera": 27755, + "herring": 30211, + "hers": 25359, + "herself": 9207, + "hersh": 20379, + "hershey": 29734, + "hert": 26744, + "hertfordshire": 41070, + "herts": 35784, + "herty": 23454, + "hertz": 49383, + "hes": 30553, + "hes": 12784, + "hesit": 23933, + "hesitate": 34967, + "hess": 41888, + "hester": 31105, + "het": 37527, + "het": 19678, + "hetero": 26405, + "heu": 20105, + "heughan": 32298, + "hew": 48141, + "hew": 43051, + "hewitt": 28871, + "hex": 16255, + "hex": 31241, + "hey": 10759, + "hey": 2189, + "hez": 34591, + "hezbollah": 37636, + "hf": 26606, + "hf": 20603, + "hfx": 47297, + "hg": 23986, + "hg": 26237, + "hgtv": 47657, + "hh": 3280, + "hh": 5180, + "hhh": 8281, + "hhhh": 19391, + "hhhh": 13121, + "hhhhh": 24246, + "hhhhhh": 37278, + "hhs": 27006, + "hi": 677, + "hi": 1883, + "hia": 20672, + "hiatus": 27823, + "hib": 15922, + "hiber": 38799, + "hibis": 36226, + "hibiscus": 36460, + "hibition": 24658, + "hibs": 42814, + "hic": 3549, + "hic": 38079, + "hick": 14813, + "hickman": 49148, + "hickory": 29905, + "hicks": 23429, + "hid": 15552, + "hid": 14451, + "hidalgo": 47464, + "hidden": 28305, + "hidden": 7029, + "hiddleston": 31444, + "hide": 17725, + "hide": 9379, + "hideous": 46588, + "hides": 30800, + "hiding": 11371, + "hie": 15763, + "hier": 23433, + "hier": 29913, + "hierarchy": 44442, + "hifi": 38168, + "hig": 38108, + "higgins": 21783, + "high": 1487, + "high": 1400, + "higher": 5321, + "highered": 27072, + "highest": 5317, + "highland": 32244, + "highland": 16062, + "highlander": 46251, + "highlanders": 40445, + "highlands": 16883, + "highlight": 8264, + "highlighted": 22252, + "highlighter": 45460, + "highlighting": 17344, + "highlights": 6173, + "highly": 5302, + "highness": 38694, + "highs": 15144, + "highschool": 23102, + "highway": 45344, + "highway": 7620, + "highways": 28007, + "higu": 39115, + "hihi": 36240, + "hii": 42315, + "hijab": 31407, + "hika": 41356, + "hikari": 44624, + "hike": 9404, + "hiked": 36471, + "hiker": 40947, + "hikers": 46090, + "hikes": 27076, + "hiking": 9118, + "hiko": 48708, + "hil": 3508, + "hil": 17927, + "hila": 38837, + "hilar": 37337, + "hilari": 7784, + "hilarious": 8358, + "hilariously": 43476, + "hilary": 45898, + "hilary": 25415, + "hilde": 45382, + "hill": 3671, + "hill": 2682, + "hillary": 13257, + "hillary": 7074, + "hillaryclinton": 15357, + "hilli": 32513, + "hills": 24178, + "hills": 5289, + "hillsborough": 32157, + "hillside": 37194, + "hilltop": 45858, + "hilly": 32483, + "hilton": 33621, + "hilton": 14012, + "him": 4128, + "him": 1269, + "himach": 29132, + "himachal": 35461, + "himalay": 17552, + "himalayan": 30318, + "himalayas": 32872, + "hime": 45892, + "himself": 4530, + "himss": 41730, + "hin": 1676, + "hin": 37930, + "hina": 40571, + "hinakhan": 45518, + "hinch": 49320, + "hind": 34460, + "hind": 23293, + "hindi": 14967, + "hinds": 47859, + "hindu": 17587, + "hindu": 12053, + "hinduism": 40592, + "hindus": 25701, + "hindustan": 46553, + "hines": 37462, + "hing": 37968, + "hini": 33564, + "hino": 45343, + "hint": 11868, + "hinton": 47165, + "hints": 20594, + "hio": 32897, + "hip": 11725, + "hip": 6584, + "hipho": 8819, + "hiphop": 26598, + "hiphop": 10914, + "hipp": 13607, + "hippie": 28637, + "hippo": 28398, + "hippo": 36729, + "hips": 30191, + "hipstamatic": 31002, + "hipster": 19987, + "hipsters": 48265, + "hir": 4959, + "hir": 14728, + "hira": 42577, + "hire": 32356, + "hire": 8243, + "hired": 17602, + "hires": 24133, + "hiring": 7835, + "hiro": 17396, + "hiro": 20588, + "hiroshima": 33867, + "hirsch": 46967, + "his": 15211, + "his": 787, + "hism": 23502, + "hispan": 16843, + "hispanic": 22676, + "hist": 21710, + "hist": 13779, + "histo": 33479, + "histor": 2993, + "historia": 46010, + "historian": 20697, + "historians": 35200, + "historic": 30195, + "historic": 5726, + "historical": 34154, + "historical": 8039, + "historically": 30445, + "histories": 34736, + "history": 11142, + "history": 1695, + "historymonth": 19356, + "historyof": 35905, + "hit": 5453, + "hit": 2341, + "hitch": 22937, + "hitch": 36203, + "hitler": 16518, + "hitman": 33290, + "hits": 4712, + "hitter": 23538, + "hitters": 39724, + "hitting": 7957, + "hiv": 44410, + "hiv": 11018, + "hive": 38162, + "hive": 18521, + "hiya": 42393, + "hk": 22648, + "hk": 12307, + "hl": 8297, + "hl": 5956, + "hle": 32389, + "hler": 35418, + "hm": 17913, + "hm": 7631, + "hmm": 13725, + "hmmm": 17032, + "hmmmm": 34598, + "hms": 14625, + "hmu": 21630, + "hmv": 49288, + "hn": 22905, + "hn": 7478, + "hns": 48412, + "ho": 606, + "ho": 2971, + "hoa": 37517, + "hoar": 31628, + "hoax": 33438, + "hob": 18212, + "hobart": 31646, + "hobb": 16175, + "hobbies": 36370, + "hobbit": 23207, + "hobbs": 34343, + "hobby": 41120, + "hobby": 17557, + "hobo": 34613, + "hobo": 41334, + "hoboken": 41568, + "hoc": 35880, + "hoch": 43772, + "hock": 34914, + "hock": 46574, + "hockey": 16499, + "hockey": 4111, + "hoco": 34771, + "hod": 31062, + "hodg": 23660, + "hodge": 40585, + "hodges": 35061, + "hodgson": 37044, + "hoe": 32502, + "hoe": 11262, + "hoek": 40073, + "hoes": 21164, + "hof": 20186, + "hof": 12789, + "hofer": 38654, + "hoff": 32860, + "hoff": 22751, + "hofficial": 41949, + "hoffman": 22026, + "hog": 12075, + "hog": 13255, + "hogan": 19757, + "hogg": 42005, + "hogs": 23242, + "hogwarts": 29168, + "hoh": 43947, + "hoi": 39295, + "hok": 26942, + "hok": 47167, + "hokies": 35168, + "hokkaido": 49145, + "hol": 1187, + "hol": 7349, + "hola": 28724, + "hold": 36496, + "hold": 3254, + "holden": 21869, + "holder": 7862, + "holders": 10074, + "holding": 5050, + "holdings": 24832, + "holds": 7286, + "hole": 47242, + "hole": 5341, + "holes": 11266, + "holi": 2093, + "holi": 21926, + "holic": 16348, + "holics": 29782, + "holiday": 13168, + "holiday": 2878, + "holidays": 5372, + "holiness": 37259, + "holistic": 26300, + "holl": 27699, + "holla": 26500, + "holland": 31608, + "holland": 9978, + "hollande": 47690, + "holler": 49047, + "holli": 24019, + "holliday": 41624, + "hollow": 41221, + "hollow": 16691, + "holloway": 29435, + "holly": 12731, + "holly": 11923, + "hollyo": 41525, + "hollyoaks": 43352, + "hollywood": 24655, + "hollywood": 5518, + "holm": 34758, + "holm": 12739, + "holme": 46149, + "holmes": 12756, + "holo": 10317, + "holocau": 14688, + "holocaust": 16476, + "hols": 33344, + "holt": 18868, + "holtz": 44743, + "holy": 13910, + "holy": 4874, + "hom": 906, + "hom": 47397, + "homa": 9557, + "homage": 17746, + "home": 2143, + "home": 1137, + "homebrew": 35046, + "homec": 33869, + "homecoming": 9008, + "homedecor": 15695, + "homedepot": 38707, + "homegrown": 32554, + "homeitems": 42972, + "homeland": 21633, + "homeless": 18403, + "homeless": 9661, + "homelessness": 19851, + "homemade": 7889, + "homeof": 48856, + "homeowner": 37267, + "homeowners": 29882, + "homepage": 29828, + "homer": 29307, + "homer": 16931, + "homers": 38333, + "homes": 19480, + "homes": 5416, + "homeschool": 40994, + "homestead": 32609, + "homeswee": 46298, + "hometown": 12238, + "homework": 12495, + "homicide": 21520, + "homie": 12540, + "homies": 18893, + "homme": 26193, + "homo": 18129, + "homo": 30504, + "homophobia": 37875, + "homophobic": 40975, + "homosexual": 44288, + "homosexuality": 46720, + "homs": 45413, + "hon": 1279, + "hon": 10296, + "honda": 8553, + "honduras": 29715, + "hone": 38640, + "honest": 7814, + "honest": 9602, + "honestly": 9155, + "honesty": 24939, + "honey": 9843, + "honey": 6406, + "honeycomb": 48583, + "honeymoon": 22527, + "hong": 12144, + "hong": 8598, + "hongkong": 16659, + "honi": 17918, + "honolulu": 28096, + "honor": 9206, + "honor": 3402, + "honorable": 19498, + "honorary": 15675, + "honore": 25868, + "honored": 5494, + "honoree": 38993, + "honorees": 43012, + "honoring": 10771, + "honors": 10248, + "honour": 8240, + "honourable": 29855, + "honoured": 11945, + "honouring": 37754, + "honours": 22558, + "hoo": 2300, + "hoo": 7920, + "hood": 18681, + "hood": 3222, + "hooded": 33631, + "hoodie": 13444, + "hoodies": 25974, + "hoods": 16664, + "hoof": 44555, + "hook": 30488, + "hook": 10395, + "hookah": 34214, + "hooked": 18138, + "hookem": 31465, + "hooker": 37891, + "hooking": 35240, + "hooks": 25068, + "hooligans": 48176, + "hoon": 21368, + "hooo": 44538, + "hoop": 31516, + "hoop": 19573, + "hooper": 35221, + "hoops": 9351, + "hoor": 22155, + "hooray": 24940, + "hoos": 46462, + "hoosier": 48886, + "hoosiers": 42780, + "hoot": 29164, + "hoover": 25691, + "hop": 10848, + "hop": 5833, + "hope": 5263, + "hope": 1683, + "hoped": 30628, + "hopeful": 21453, + "hopefully": 7602, + "hopeless": 35586, + "hopes": 10018, + "hoping": 7207, + "hopkins": 17821, + "hopp": 48839, + "hopped": 34220, + "hopper": 21748, + "hopping": 27606, + "hoppy": 38359, + "hops": 21137, + "hor": 1407, + "hor": 33847, + "hora": 26013, + "horace": 39282, + "horan": 26857, + "horde": 44947, + "hore": 15380, + "horiz": 8144, + "horizon": 17924, + "horizon": 11920, + "horizons": 29685, + "horizontal": 25775, + "hormon": 27096, + "hormone": 31283, + "hormones": 35162, + "horn": 15771, + "horn": 9607, + "horne": 38143, + "horned": 34526, + "hornet": 28739, + "hornets": 20124, + "horns": 22109, + "horny": 32622, + "horo": 21500, + "horoscope": 38453, + "horowitz": 44669, + "horri": 8656, + "horrible": 13726, + "horribly": 45484, + "horrific": 25314, + "horrifying": 38901, + "horror": 13787, + "horror": 5032, + "horrormovies": 46682, + "horrors": 33321, + "horse": 8562, + "horse": 4558, + "horseback": 43673, + "horseman": 48885, + "horsepower": 36882, + "horser": 23096, + "horseracing": 30693, + "horses": 8809, + "horseshoe": 29242, + "horst": 37182, + "hort": 19482, + "horticul": 27141, + "horticulture": 39998, + "horton": 25945, + "hortons": 38422, + "horus": 29794, + "hos": 44320, + "hos": 25008, + "hosa": 44618, + "hose": 19662, + "hoseok": 38817, + "hosp": 2847, + "hosp": 37853, + "hospice": 20533, + "hospit": 7180, + "hospital": 29399, + "hospital": 3851, + "hospitality": 11657, + "hospitalized": 36915, + "hospitals": 13816, + "host": 17403, + "host": 3953, + "hostage": 26119, + "hoste": 31700, + "hosted": 6017, + "hostel": 27225, + "hostess": 39692, + "hostile": 28074, + "hosting": 4857, + "hosts": 8718, + "hot": 2851, + "hot": 2069, + "hota": 43289, + "hotdog": 43758, + "hotel": 14591, + "hotel": 2738, + "hotels": 8654, + "hotline": 30516, + "hotmail": 46427, + "hotness": 39803, + "hotra": 27109, + "hotro": 47823, + "hotspot": 36606, + "hotspur": 35176, + "hotter": 23591, + "hottest": 8279, + "hottie": 22804, + "hotties": 46027, + "hou": 1011, + "hou": 10122, + "hough": 44529, + "houghton": 36133, + "houn": 39273, + "houn": 33607, + "hound": 33996, + "hound": 13561, + "hounds": 21178, + "hounews": 48373, + "hour": 14930, + "hour": 2232, + "hourly": 30918, + "hours": 2382, + "house": 4107, + "house": 1212, + "housed": 37518, + "household": 12412, + "households": 27167, + "housel": 48685, + "housemusic": 28468, + "houseof": 19928, + "houses": 7791, + "housewives": 38523, + "housing": 32924, + "housing": 5734, + "houston": 16564, + "houston": 5663, + "hov": 40291, + "hove": 29674, + "hoven": 35559, + "hover": 36252, + "hover": 49016, + "hovering": 43437, + "how": 7470, + "how": 829, + "howar": 37672, + "howard": 25447, + "howard": 7632, + "howdy": 42216, + "howe": 8179, + "howe": 24614, + "howell": 25297, + "hower": 32920, + "however": 8467, + "howi": 47883, + "howie": 42939, + "howl": 40332, + "howling": 41771, + "howto": 38191, + "howto": 44060, + "hoy": 39625, + "hoy": 13278, + "hoya": 40978, + "hp": 23753, + "hp": 6371, + "hpa": 30983, + "hpc": 39936, + "hpe": 33787, + "hpv": 45765, + "hq": 33571, + "hq": 4693, + "hr": 4810, + "hr": 4086, + "hra": 21320, + "hra": 17212, + "hrc": 18139, + "hrh": 29103, + "hri": 21068, + "hrithik": 45371, + "hrs": 7157, + "hru": 24127, + "hrw": 25064, + "hs": 9343, + "hs": 2466, + "hsbc": 31508, + "hsc": 43510, + "hse": 34057, + "hsfb": 29539, + "hsv": 47311, + "ht": 11123, + "ht": 7801, + "hta": 23452, + "hta": 49384, + "htafc": 42821, + "htc": 48942, + "htc": 17635, + "html": 18231, + "hts": 43710, + "htt": 10620, + "http": 15066, + "https": 30901, + "httr": 49372, + "httweets": 43198, + "hu": 845, + "hu": 5949, + "hua": 22138, + "huan": 41405, + "huang": 32013, + "huar": 46916, + "huawe": 17709, + "huawei": 21128, + "hub": 18775, + "hub": 7028, + "hubb": 23183, + "hubbard": 33288, + "hubble": 30421, + "hubby": 16947, + "hubert": 40699, + "hubs": 29327, + "huck": 22909, + "huckabee": 43666, + "hud": 7169, + "hud": 28563, + "hudder": 22629, + "huddersfield": 24220, + "huddle": 33435, + "hudson": 25873, + "hudson": 11260, + "hue": 48380, + "hue": 21465, + "hues": 38003, + "huey": 39663, + "huff": 18746, + "huff": 44999, + "huffpost": 45887, + "hug": 40790, + "hug": 10359, + "huge": 2699, + "hugely": 24648, + "hugged": 41333, + "hugging": 27058, + "hugh": 8723, + "hugh": 15385, + "hughes": 11418, + "hugo": 43935, + "hugo": 17132, + "hugs": 14248, + "huh": 13348, + "huhu": 32134, + "hui": 29978, + "hul": 7911, + "hula": 40145, + "hulk": 17637, + "hull": 25154, + "hull": 10375, + "hulu": 24666, + "hum": 5823, + "hum": 16283, + "human": 3175, + "human": 2751, + "humane": 20220, + "humanitarian": 14170, + "humanities": 24949, + "humanity": 9420, + "humanright": 44385, + "humanrights": 14148, + "humans": 8324, + "humb": 9988, + "humber": 30602, + "humber": 38063, + "humble": 38703, + "humble": 10889, + "humbled": 19682, + "humbling": 39757, + "humbold": 24739, + "humboldt": 31389, + "hume": 38197, + "humid": 14778, + "humid": 27447, + "humidi": 47666, + "humidity": 15469, + "humil": 27205, + "humili": 25332, + "humility": 28535, + "humming": 26515, + "hummingbird": 33072, + "hummus": 31785, + "humor": 29369, + "humor": 11186, + "humorous": 38173, + "humour": 19161, + "hump": 16673, + "hump": 24529, + "humpback": 47662, + "humpday": 27693, + "humph": 19767, + "humphrey": 31549, + "hun": 1616, + "hun": 10795, + "hundre": 8505, + "hundred": 11898, + "hundreds": 8879, + "hung": 13825, + "hungar": 19420, + "hungarian": 23325, + "hungary": 17232, + "hunger": 25565, + "hunger": 10184, + "hungergames": 47507, + "hungover": 41110, + "hungry": 44845, + "hungry": 8451, + "hunk": 33912, + "hunt": 16498, + "hunt": 5774, + "hunted": 37373, + "hunter": 16531, + "hunter": 6099, + "hunters": 16115, + "hunting": 27830, + "hunting": 7507, + "huntington": 23521, + "hunts": 34041, + "huntsville": 34544, + "hur": 2305, + "hur": 34523, + "hurd": 44915, + "hurdle": 27486, + "hurdles": 25440, + "huri": 42486, + "hurley": 30166, + "hurling": 24738, + "huron": 36147, + "hurrah": 40599, + "hurric": 6543, + "hurrican": 36105, + "hurricane": 24051, + "hurricane": 8782, + "hurricanes": 22357, + "hurry": 10921, + "hurst": 44742, + "hurst": 11760, + "hurt": 7413, + "hurting": 24017, + "hurts": 13059, + "hus": 5111, + "hus": 35853, + "husband": 6179, + "husbands": 33612, + "hush": 28728, + "husk": 19246, + "huskers": 26946, + "huskies": 20988, + "husky": 20421, + "huss": 13733, + "hussain": 17940, + "hussein": 31336, + "hust": 27279, + "hustle": 15709, + "huston": 46480, + "hut": 20924, + "hut": 16503, + "hutch": 31018, + "hutch": 33203, + "hutchinson": 35721, + "hutto": 27662, + "hutton": 38321, + "hv": 17209, + "hv": 18593, + "hvac": 27492, + "hw": 27491, + "hw": 18876, + "hwa": 32352, + "hwan": 44390, + "hwang": 46775, + "hwy": 13812, + "hy": 1441, + "hy": 17827, + "hya": 31600, + "hyacin": 47263, + "hyatt": 44856, + "hyatt": 25146, + "hybri": 9084, + "hybrid": 10156, + "hyd": 42382, + "hyde": 46484, + "hyde": 16343, + "hyder": 13960, + "hyderabad": 14801, + "hydr": 8031, + "hydra": 44414, + "hydra": 40420, + "hydrange": 43298, + "hydrate": 29628, + "hydrated": 23300, + "hydrating": 47653, + "hydration": 24174, + "hydrau": 26017, + "hydraulic": 26189, + "hydro": 8368, + "hydro": 22595, + "hydrogen": 20974, + "hye": 32724, + "hye": 25792, + "hygi": 16277, + "hygiene": 19591, + "hymn": 41350, + "hyo": 38960, + "hyo": 35078, + "hyp": 16964, + "hype": 30353, + "hype": 11111, + "hyped": 22507, + "hyper": 7997, + "hyper": 22146, + "hypertension": 40698, + "hypno": 23355, + "hypnosis": 48138, + "hypnoti": 40440, + "hypo": 10252, + "hypocr": 30711, + "hypocri": 25606, + "hypocrisy": 26296, + "hypocrite": 44125, + "hypothe": 46966, + "hypothesis": 44956, + "hyster": 24235, + "hysteria": 45965, + "hysterical": 48627, + "hyuk": 20452, + "hyun": 11831, + "hyun": 8589, + "hyundai": 17094, + "hyung": 46901, + "hyung": 16551, + "hz": 32533, + "i": 72, + "i": 328, + "ia": 12486, + "ia": 1073, + "iac": 32838, + "iac": 44063, + "iaf": 40789, + "iah": 35052, + "iain": 30103, + "ial": 11530, + "ial": 1974, + "ials": 20940, + "iam": 3579, + "iam": 11415, + "iambic": 43668, + "iambicpent": 43891, + "iamsrk": 15103, + "ian": 7723, + "ian": 1800, + "ians": 6451, + "iansomerhalder": 47077, + "iart": 18413, + "iartg": 18669, + "ias": 32303, + "ias": 14620, + "ib": 3962, + "ib": 13554, + "iba": 39763, + "ibadan": 44691, + "iban": 47145, + "ibc": 49014, + "ibd": 40732, + "iber": 23814, + "ibi": 12337, + "ibis": 47048, + "ibiza": 13853, + "ible": 37792, + "ibles": 44102, + "ibm": 23415, + "ibm": 13918, + "ibn": 25729, + "ibooks": 46887, + "ibra": 15476, + "ibrahi": 40350, + "ibrahim": 20816, + "ibrox": 46883, + "ibs": 41993, + "ibu": 43587, + "ibu": 46117, + "ic": 535, + "ic": 1029, + "ica": 2576, + "icago": 37492, + "ical": 6082, + "ical": 1110, + "ically": 3161, + "icals": 13999, + "ican": 17653, + "ican": 5246, + "icans": 20511, + "icar": 37211, + "ication": 21629, + "icc": 12945, + "ice": 2739, + "ice": 733, + "iceberg": 33662, + "icec": 13636, + "icecream": 21334, + "iced": 8049, + "icelan": 34114, + "iceland": 46716, + "iceland": 11935, + "icelandic": 34705, + "ices": 1931, + "ich": 5333, + "ich": 1232, + "icha": 31453, + "iche": 28972, + "iche": 21143, + "ichi": 21669, + "ichi": 14647, + "ichick": 45022, + "ichiro": 43787, + "ici": 948, + "ici": 22189, + "icia": 11774, + "icial": 17543, + "icial": 6397, + "ician": 40522, + "ician": 5374, + "icians": 6264, + "iciary": 21329, + "icic": 46006, + "icide": 6558, + "icides": 28253, + "icing": 7676, + "icio": 24207, + "icion": 45905, + "icious": 3325, + "icist": 21165, + "icists": 42171, + "icity": 7243, + "ick": 1168, + "ick": 1068, + "icked": 39799, + "icker": 40357, + "ickers": 30701, + "icki": 35468, + "icking": 6619, + "icks": 3727, + "icky": 11587, + "icn": 44516, + "ico": 13697, + "ico": 3040, + "icom": 17693, + "icom": 29796, + "icon": 13843, + "icon": 5646, + "iconic": 6959, + "icons": 15553, + "icop": 9389, + "icos": 32002, + "ics": 1324, + "ict": 6349, + "icted": 36515, + "iction": 40560, + "icton": 36548, + "icu": 45118, + "icu": 30443, + "icular": 40660, + "icus": 31459, + "icy": 28780, + "icy": 3495, + "icymi": 5315, + "icz": 46387, + "id": 1568, + "id": 1014, + "ida": 11032, + "ida": 11600, + "idad": 22462, + "idaho": 48817, + "idaho": 15165, + "idal": 39684, + "idan": 17929, + "idc": 22386, + "ide": 1909, + "ide": 14104, + "idea": 3612, + "ideal": 8789, + "ideally": 48247, + "ideals": 45096, + "ideas": 4452, + "ident": 7113, + "identi": 6009, + "identical": 25587, + "identification": 23337, + "identified": 15217, + "identifies": 35712, + "identify": 10949, + "identifying": 23589, + "identities": 34292, + "identity": 8892, + "ideology": 25840, + "iders": 8980, + "ides": 31791, + "idf": 28987, + "idge": 35567, + "idh": 44325, + "idi": 9611, + "idi": 14264, + "idio": 15994, + "idiot": 14087, + "idiots": 20856, + "idk": 8972, + "idle": 34754, + "idlib": 36199, + "ido": 6763, + "ido": 29641, + "idol": 24866, + "idol": 8884, + "idols": 21398, + "idr": 10106, + "idri": 46435, + "idris": 41312, + "ids": 6111, + "idu": 28655, + "idy": 33058, + "idyl": 44879, + "idyllic": 46632, + "ie": 6789, + "ie": 1718, + "iec": 44773, + "ied": 10059, + "ieee": 39860, + "iel": 27875, + "iel": 22729, + "ience": 1542, + "ient": 13115, + "ier": 33173, + "ier": 5912, + "iers": 45060, + "ies": 27912, + "ies": 963, + "iest": 10818, + "if": 8063, + "if": 878, + "ifa": 37574, + "ifc": 36524, + "ife": 41172, + "ife": 19590, + "iff": 35753, + "ification": 35755, + "ified": 41403, + "ift": 31143, + "iftar": 35153, + "ifu": 41523, + "ify": 32807, + "ig": 1089, + "ig": 3072, + "iga": 16493, + "igan": 27468, + "igans": 25419, + "igbo": 44591, + "ige": 10806, + "igen": 33070, + "iger": 30758, + "iger": 20685, + "igers": 40755, + "igers": 48928, + "iggy": 46219, + "iggy": 27604, + "igh": 2712, + "igh": 5451, + "ight": 14571, + "ight": 897, + "ighton": 35292, + "igi": 21901, + "igle": 29912, + "iglesias": 39432, + "ign": 7303, + "ign": 2326, + "ignati": 37573, + "ignatius": 48318, + "igne": 45843, + "ignite": 25210, + "ignition": 36115, + "igno": 15375, + "ignor": 7653, + "ignorance": 22735, + "ignorant": 26933, + "ignore": 12304, + "ignored": 20428, + "ignores": 40129, + "ignoring": 23969, + "igor": 33024, + "igs": 31344, + "igu": 21279, + "ih": 12162, + "ih": 34135, + "ihear": 13043, + "iheart": 30332, + "iheartawards": 18811, + "iheartradio": 25934, + "ihop": 45511, + "ihri": 39108, + "ihrithik": 39326, + "ii": 5103, + "ii": 2329, + "iii": 46236, + "iii": 6572, + "iiii": 20133, + "iiii": 45393, + "iiot": 30704, + "iit": 39330, + "iit": 33238, + "ij": 7337, + "ija": 42802, + "ik": 3903, + "ik": 10177, + "ika": 18188, + "ike": 12329, + "ike": 19696, + "ikea": 20528, + "iker": 38653, + "ikh": 44655, + "ikh": 12758, + "iklan": 32028, + "iklan": 29584, + "iko": 35659, + "iko": 39272, + "ikon": 38543, + "ikon": 19156, + "iku": 17780, + "il": 543, + "il": 958, + "ila": 4344, + "ilah": 32211, + "ilan": 13889, + "ilan": 28076, + "iland": 20957, + "ilation": 16180, + "ilay": 45093, + "ild": 22278, + "ild": 17164, + "ile": 18398, + "ile": 989, + "iled": 3358, + "iler": 22446, + "iler": 3615, + "ilers": 8975, + "iles": 42274, + "ili": 2076, + "ili": 19601, + "ilia": 14855, + "ilian": 10272, + "iliary": 32585, + "ilife": 42835, + "ilike": 44989, + "ilinan": 48497, + "iling": 3299, + "ilio": 47256, + "ilion": 12561, + "ilis": 43442, + "ilit": 11178, + "ilities": 5446, + "ility": 1787, + "ilive": 26478, + "ill": 828, + "ill": 660, + "illa": 8877, + "illa": 3043, + "illac": 17218, + "illage": 48922, + "illard": 21920, + "illary": 33667, + "illas": 23404, + "ille": 18213, + "ille": 5559, + "illed": 2527, + "illeg": 35808, + "illegal": 7983, + "illegally": 24466, + "illegals": 40490, + "iller": 23341, + "iller": 2956, + "illers": 30547, + "illery": 14514, + "illes": 20037, + "illi": 1086, + "illi": 25187, + "illia": 48776, + "illiams": 30301, + "illian": 48775, + "illian": 17355, + "illic": 37152, + "illicit": 40998, + "illie": 26083, + "illin": 35868, + "illing": 2803, + "illini": 28957, + "illino": 8920, + "illinois": 9414, + "illion": 35542, + "illion": 2035, + "illness": 11145, + "illnesses": 33861, + "illo": 34153, + "illo": 7588, + "illon": 20516, + "ills": 1900, + "illu": 3025, + "illumin": 11446, + "illuminate": 43261, + "illuminated": 28814, + "illuminati": 34551, + "illuminating": 46601, + "illumination": 43680, + "illus": 41386, + "illusion": 20318, + "illusions": 47429, + "illustr": 6268, + "illustrate": 37468, + "illustrated": 13151, + "illustrates": 38129, + "illustrating": 43322, + "illustration": 6052, + "illustrations": 17852, + "illustrator": 16649, + "illustri": 43116, + "illustrious": 44304, + "illy": 11707, + "illy": 9532, + "ilm": 36326, + "ilo": 4220, + "ilo": 14835, + "ilove": 7183, + "ilove": 32914, + "iloveart": 41114, + "ilovemy": 28863, + "iloveyou": 28829, + "ils": 1543, + "ilt": 25334, + "ilton": 28494, + "ilu": 27337, + "ilwx": 43777, + "ily": 4881, + "ily": 1026, + "ilya": 33377, + "ilysm": 29228, + "im": 732, + "im": 1496, + "ima": 2414, + "ima": 6432, + "imac": 40675, + "imacele": 47281, + "imag": 2316, + "image": 24101, + "image": 2867, + "imagery": 22828, + "images": 4952, + "imagin": 18178, + "imaginary": 30417, + "imagination": 13783, + "imaginative": 47233, + "imagine": 35752, + "imagine": 4826, + "imagined": 18478, + "imagines": 47379, + "imaging": 14231, + "imagining": 27384, + "imam": 37552, + "imam": 19024, + "iman": 45684, + "iman": 16247, + "imation": 44566, + "imax": 32066, + "imc": 45616, + "imdanielpadilla": 36357, + "imdb": 30407, + "ime": 44937, + "ime": 31151, + "imel": 31594, + "iment": 37157, + "imer": 21802, + "imes": 47744, + "imf": 28403, + "img": 24157, + "imi": 23559, + "imin": 23942, + "imit": 23462, + "imitation": 41630, + "imma": 19487, + "immac": 25085, + "immaculate": 29649, + "immature": 45531, + "immedi": 7366, + "immediate": 14440, + "immediately": 10108, + "immen": 17278, + "immense": 22722, + "immensely": 35013, + "immer": 13954, + "immerse": 46240, + "immersion": 31861, + "immersive": 27521, + "immigr": 5851, + "immigrant": 16474, + "immigrants": 14460, + "immigration": 9588, + "imminent": 27299, + "immort": 39244, + "immortal": 24717, + "immun": 8961, + "immune": 15606, + "immuni": 44571, + "immunity": 26254, + "immuno": 24361, + "immunology": 44483, + "immunotherapy": 39185, + "imo": 26349, + "imo": 13738, + "imp": 3335, + "imp": 31037, + "impac": 7573, + "impact": 33036, + "impact": 3844, + "impacted": 21424, + "impactful": 41631, + "impacting": 29359, + "impacts": 15069, + "impair": 36451, + "impaired": 28028, + "impairment": 44501, + "impala": 36641, + "impe": 23612, + "impeach": 16874, + "impeach": 43497, + "impeachment": 32979, + "impeachtrump": 38006, + "impecc": 34511, + "impeccable": 40111, + "impending": 34486, + "imper": 7727, + "imperative": 39833, + "imperfect": 46034, + "imperi": 30911, + "imperial": 32425, + "imperial": 12361, + "imperialism": 48855, + "imperson": 25551, + "implant": 33106, + "implants": 32202, + "imple": 7423, + "implement": 17966, + "implementation": 15102, + "implemented": 24315, + "implementing": 22862, + "implic": 15269, + "implications": 19229, + "implo": 40337, + "impo": 45704, + "import": 2336, + "import": 16294, + "importance": 6821, + "important": 2829, + "importantly": 21580, + "imported": 28798, + "imports": 25286, + "impose": 35879, + "imposed": 25871, + "imposing": 42289, + "impossible": 9815, + "impre": 3763, + "impress": 20015, + "impressed": 9689, + "impression": 14468, + "impressionism": 36114, + "impressionist": 44904, + "impressions": 22276, + "impressive": 6634, + "imprint": 43863, + "imprison": 22141, + "imprisoned": 32999, + "imprisonment": 39024, + "impro": 2531, + "impromp": 28100, + "impromptu": 28611, + "improv": 22868, + "improve": 4971, + "improved": 9446, + "improvement": 10790, + "improvements": 16320, + "improves": 18035, + "improving": 10381, + "improvis": 32343, + "improvised": 40886, + "impulse": 29683, + "impy": 42690, + "imran": 19647, + "imran": 19212, + "imrankhan": 25956, + "imrankhanpti": 26688, + "ims": 17800, + "imsa": 37262, + "imv": 35731, + "imvkohli": 37136, + "imwith": 26822, + "imwithher": 32651, + "in": 512, + "in": 530, + "ina": 18026, + "ina": 1366, + "inability": 47517, + "inaccurate": 49192, + "inaction": 41916, + "inactive": 49274, + "inadequate": 43403, + "inak": 46549, + "inal": 19178, + "inals": 26438, + "inan": 26204, + "inappropriate": 26722, + "inari": 48620, + "inary": 11337, + "inas": 36731, + "inas": 12362, + "inated": 38530, + "ination": 4706, + "inau": 10832, + "inaugu": 11309, + "inaugur": 11448, + "inaugural": 11340, + "inaugurated": 29011, + "inauguration": 16805, + "inbound": 24420, + "inbox": 18683, + "inc": 14570, + "inc": 4438, + "incan": 45964, + "incar": 18070, + "incarcer": 26334, + "incarcerated": 49178, + "incarceration": 39887, + "incase": 30463, + "ince": 44303, + "incen": 13259, + "incense": 35059, + "incentive": 29024, + "incentives": 29813, + "inception": 36653, + "inch": 6523, + "incheon": 30645, + "inches": 10809, + "inci": 5747, + "incidence": 43371, + "incident": 10103, + "incidents": 22120, + "incindia": 26161, + "inciner": 46434, + "incl": 27857, + "incl": 13338, + "inclined": 45470, + "inclu": 1738, + "include": 5942, + "included": 7414, + "includes": 6197, + "including": 2814, + "inclusion": 12079, + "inclusive": 13393, + "income": 8044, + "incoming": 15416, + "incomparable": 36027, + "incompetent": 45069, + "incomplete": 34040, + "incon": 42372, + "inconvenience": 40563, + "incorpor": 19335, + "incorporate": 34168, + "incorporated": 29494, + "incorporating": 40303, + "incorrect": 31872, + "incre": 1870, + "increase": 5230, + "increased": 9156, + "increases": 13797, + "increasing": 10270, + "increasingly": 16106, + "incredi": 2883, + "incredible": 22128, + "incredible": 3457, + "incredibleindia": 24680, + "incredibles": 48641, + "incredibly": 9513, + "incu": 38830, + "incub": 24587, + "incubator": 35736, + "incumb": 32246, + "incumbent": 38038, + "incur": 42356, + "ind": 5386, + "ind": 4655, + "inda": 15710, + "inde": 2645, + "indeed": 10031, + "indefin": 29501, + "indefinitely": 43750, + "independ": 4147, + "independence": 23117, + "independence": 7955, + "independenceday": 25971, + "independent": 33844, + "independent": 7088, + "independently": 39831, + "inder": 29225, + "index": 35209, + "index": 9458, + "indhoven": 44229, + "indi": 1098, + "indi": 46536, + "india": 27067, + "india": 1762, + "indian": 7685, + "indian": 3606, + "indiana": 8615, + "indianapolis": 17196, + "indianfootball": 45979, + "indians": 10271, + "indic": 7136, + "indicate": 26679, + "indicated": 39416, + "indicates": 29412, + "indication": 38539, + "indicator": 24776, + "indicators": 30054, + "indicted": 34992, + "indictment": 42278, + "indie": 5260, + "indie": 9383, + "indiedev": 10863, + "indiefilm": 22588, + "indiegame": 17969, + "indiegamedev": 40466, + "indiegames": 35864, + "indiegogo": 38057, + "indies": 23618, + "indiffe": 41372, + "indigen": 8348, + "indigenous": 9303, + "indigo": 21002, + "indira": 43887, + "indirec": 26398, + "indirect": 35416, + "indivi": 5649, + "individu": 9574, + "individual": 8512, + "individually": 33782, + "individuals": 11990, + "indo": 26303, + "indo": 18297, + "indom": 42926, + "indone": 6180, + "indonesia": 7229, + "indonesian": 19593, + "indoor": 44478, + "indoor": 9546, + "indoors": 22973, + "indore": 46143, + "indu": 2298, + "induc": 7973, + "induced": 24103, + "inducted": 20596, + "inductee": 39558, + "inductees": 44796, + "induction": 18338, + "indul": 19402, + "indulg": 28388, + "indulge": 24851, + "indulgence": 40856, + "indulgent": 49147, + "industri": 5082, + "industrial": 30853, + "industrial": 7520, + "industries": 11700, + "industry": 47407, + "industry": 3318, + "indv": 16942, + "indy": 9821, + "indy": 10098, + "indycar": 20484, + "indyref": 22569, + "ine": 855, + "ine": 715, + "ineau": 38122, + "inec": 45214, + "ined": 2038, + "inee": 43252, + "inee": 7986, + "inees": 13056, + "ineffe": 47202, + "inely": 18234, + "inem": 48876, + "inema": 29232, + "inen": 44365, + "inequalities": 45507, + "inequality": 17372, + "iner": 17438, + "iner": 5155, + "iners": 41863, + "ines": 2137, + "inese": 35966, + "iness": 1463, + "inet": 8121, + "inette": 38911, + "inev": 19527, + "inevit": 45871, + "inevitable": 25004, + "inews": 24300, + "inexpensive": 38614, + "iney": 30254, + "inez": 12700, + "inf": 1529, + "inf": 35241, + "infamous": 18688, + "infan": 17219, + "infant": 19192, + "infantry": 21655, + "infants": 34726, + "infe": 7164, + "infec": 26088, + "infected": 26136, + "infection": 14774, + "infections": 22227, + "infectious": 29157, + "infeld": 25035, + "infer": 16258, + "inferno": 31290, + "infertility": 40701, + "infield": 48933, + "infiltr": 28683, + "infin": 6246, + "infinite": 12748, + "infiniti": 34644, + "infinity": 34863, + "infinity": 12895, + "infl": 7627, + "inflam": 16080, + "inflammation": 24893, + "inflammatory": 26831, + "inflatable": 30135, + "inflation": 17497, + "inflicted": 48188, + "influ": 4835, + "influen": 13229, + "influence": 9199, + "influenced": 21183, + "influencer": 25013, + "influencers": 29891, + "influences": 24926, + "influencing": 45126, + "influential": 17553, + "influenza": 39897, + "info": 5680, + "info": 2222, + "infographic": 10076, + "infographics": 33172, + "infor": 31773, + "inform": 10241, + "inform": 19449, + "informal": 25705, + "informat": 29625, + "informatics": 35685, + "information": 3204, + "informative": 19364, + "informed": 13876, + "informing": 45388, + "informs": 48440, + "infosec": 17863, + "infr": 29718, + "infra": 7312, + "infra": 45877, + "infrared": 22867, + "infrastructure": 9034, + "infringe": 44882, + "infringement": 48712, + "infront": 37668, + "infu": 15048, + "infuri": 48461, + "infused": 21461, + "infusion": 43464, + "ing": 653, + "ing": 519, + "inga": 15233, + "ingco": 40444, + "ingday": 16561, + "ingdon": 38731, + "inge": 11790, + "inge": 7071, + "inged": 30046, + "ingen": 19088, + "ingeni": 36884, + "inger": 33883, + "inger": 3541, + "ingfor": 33430, + "ingh": 9170, + "ingh": 30495, + "ingham": 24497, + "ingham": 4291, + "inghamshire": 39289, + "inghour": 42728, + "inging": 4066, + "ingl": 45662, + "ingle": 22228, + "ingle": 17005, + "ingles": 24490, + "ingley": 44428, + "inglis": 46327, + "ingly": 4796, + "ingnow": 34766, + "ingo": 30175, + "ingo": 9012, + "ingra": 45165, + "ingrad": 44124, + "ingram": 26998, + "ingredi": 9272, + "ingredient": 19799, + "ingredients": 11788, + "ingrid": 33496, + "ings": 895, + "ingthe": 20170, + "ingtips": 39373, + "ington": 11846, + "ington": 2156, + "ingu": 8714, + "ingual": 22795, + "ingue": 36838, + "ingui": 12788, + "inguish": 36146, + "inha": 32612, + "inhabit": 36189, + "inhabitants": 44968, + "inhal": 30786, + "inhe": 32617, + "inher": 24611, + "inherent": 47327, + "inherit": 34322, + "inheritance": 39341, + "inherited": 39111, + "inhi": 25557, + "inhibit": 32196, + "inho": 12984, + "ini": 6154, + "ini": 3581, + "inian": 36638, + "inim": 38717, + "inindia": 34021, + "ining": 1389, + "inist": 30976, + "init": 42670, + "initi": 4580, + "initial": 13980, + "initially": 28123, + "initials": 48794, + "initiated": 27756, + "initiation": 41009, + "initiative": 8152, + "initiatives": 16549, + "inity": 22126, + "inj": 5112, + "injec": 13688, + "injection": 21438, + "inju": 5006, + "injured": 7505, + "injuries": 9481, + "injury": 6223, + "injustice": 20541, + "ink": 4547, + "ink": 967, + "inka": 40685, + "inked": 29356, + "inki": 46176, + "inkigayo": 47882, + "inking": 37586, + "inks": 20966, + "inktober": 9387, + "inland": 21943, + "inlet": 35161, + "inline": 45004, + "inlove": 28415, + "inmate": 32341, + "inmates": 28216, + "inmy": 42657, + "inn": 27260, + "inn": 5569, + "inna": 35088, + "inner": 24512, + "inner": 6955, + "inning": 4415, + "innings": 11580, + "innis": 44059, + "inno": 7961, + "innocence": 26383, + "innocent": 11241, + "innov": 2890, + "innovate": 24549, + "innovation": 33063, + "innovation": 4272, + "innovations": 18817, + "innovative": 8494, + "innovator": 34735, + "innovators": 27834, + "ino": 4211, + "ino": 2691, + "inoa": 25649, + "inos": 21828, + "inous": 47801, + "inox": 22698, + "input": 16952, + "inputs": 48763, + "inqu": 10628, + "inqui": 18527, + "inquirer": 45172, + "inquiries": 29469, + "inquiry": 15865, + "inquis": 31171, + "inr": 36325, + "ins": 12786, + "ins": 1041, + "insan": 7875, + "insane": 10260, + "insanely": 27846, + "insanity": 26645, + "inscribed": 49168, + "inscription": 41127, + "insec": 15744, + "insect": 21297, + "insects": 18714, + "insecure": 35112, + "insecurity": 36964, + "inser": 13830, + "insert": 18807, + "insi": 3453, + "inside": 19141, + "inside": 2912, + "insider": 13300, + "insiders": 32171, + "insig": 40503, + "insight": 8795, + "insightful": 20354, + "insights": 8729, + "insignia": 48864, + "insist": 35504, + "insisted": 40423, + "insists": 27255, + "inski": 32630, + "insky": 24607, + "insol": 42366, + "insom": 21755, + "insomni": 42040, + "insomnia": 30598, + "inson": 21007, + "insp": 1597, + "inspec": 7915, + "inspect": 40815, + "inspecting": 40565, + "inspection": 15142, + "inspections": 39513, + "inspector": 20514, + "inspir": 2573, + "inspiration": 4195, + "inspirational": 41936, + "inspirational": 9855, + "inspirations": 35093, + "inspire": 27901, + "inspire": 8583, + "inspired": 39849, + "inspired": 3516, + "inspires": 17245, + "inspiring": 41847, + "inspiring": 5705, + "inspo": 26897, + "inst": 1264, + "inst": 1581, + "insta": 22411, + "insta": 11694, + "instability": 41377, + "instac": 46678, + "instaf": 33800, + "instag": 14612, + "instagood": 23718, + "instagram": 27910, + "instagram": 2659, + "instal": 38805, + "install": 6940, + "install": 11168, + "installation": 9358, + "installations": 27909, + "installed": 8807, + "installing": 18301, + "installment": 25315, + "installs": 45568, + "instalment": 47766, + "instance": 34572, + "instant": 38810, + "instant": 10635, + "instantly": 17703, + "instap": 23758, + "instapic": 34378, + "instaweather": 43078, + "instaweatherpro": 43150, + "inste": 3571, + "instead": 4191, + "instein": 13421, + "instem": 27030, + "instin": 23382, + "instinct": 30544, + "institu": 4257, + "institute": 5861, + "institutes": 43674, + "institution": 18823, + "institutional": 27442, + "institutions": 15207, + "instore": 41679, + "instru": 4544, + "instruc": 19648, + "instruction": 19407, + "instructional": 31022, + "instructions": 17040, + "instructor": 16087, + "instructors": 31998, + "instrument": 42196, + "instrument": 15806, + "instrumental": 23041, + "instruments": 14793, + "instyle": 41321, + "insu": 8805, + "insul": 9615, + "insulated": 42051, + "insulation": 28194, + "insulin": 29311, + "insult": 26673, + "insulting": 39646, + "insults": 40451, + "insur": 5024, + "insurance": 5870, + "insured": 31321, + "insurers": 43142, + "insurtech": 28716, + "int": 1828, + "int": 1207, + "inta": 38314, + "intact": 26870, + "intake": 19539, + "intan": 47695, + "inte": 1598, + "inte": 41900, + "intech": 26504, + "inted": 6147, + "integr": 5151, + "integral": 27018, + "integrate": 25735, + "integrated": 12797, + "integrating": 31555, + "integration": 12583, + "integrity": 14791, + "intel": 11778, + "intel": 11426, + "intellec": 13281, + "intellect": 47828, + "intellectu": 31966, + "intellectual": 18069, + "intelli": 5324, + "intellig": 5632, + "intelligence": 6846, + "intelligent": 14063, + "inten": 2967, + "intend": 36674, + "intended": 16812, + "intense": 10258, + "intensi": 22928, + "intensity": 19956, + "intensive": 21049, + "intent": 18881, + "intention": 26786, + "intentional": 29536, + "intentionally": 31215, + "intentions": 26710, + "inter": 1006, + "inter": 10093, + "interact": 21736, + "interacting": 35045, + "interaction": 17650, + "interactions": 22162, + "interactive": 9456, + "intercep": 23676, + "interception": 48762, + "interceptions": 45313, + "interchange": 34222, + "intercontinental": 31983, + "interdisciplinary": 38132, + "intere": 2008, + "interest": 5095, + "interested": 4620, + "interesting": 3628, + "interests": 16425, + "interface": 18753, + "interfaith": 38399, + "interference": 29099, + "interim": 19509, + "interior": 10700, + "interior": 7305, + "interiordesign": 12902, + "interiors": 14836, + "intermedi": 20246, + "intermediate": 24304, + "intermission": 44805, + "intermitt": 44946, + "intern": 9976, + "intern": 14068, + "internal": 11285, + "internally": 41134, + "internation": 42534, + "international": 8566, + "international": 2436, + "internationaldayof": 41518, + "internationally": 24059, + "internationalwomensday": 17682, + "interne": 32713, + "internet": 30180, + "internet": 4757, + "internetof": 44449, + "internetofthings": 45925, + "interns": 19902, + "internship": 16661, + "internships": 39410, + "interoper": 45754, + "interpre": 11162, + "interpret": 49154, + "interpret": 40459, + "interpretation": 20652, + "interpreted": 42157, + "interpreting": 46525, + "interro": 29548, + "interrup": 21609, + "interrupt": 48449, + "interrupted": 30288, + "intersec": 45246, + "intersection": 19210, + "interstate": 21963, + "interstellar": 41506, + "interval": 36032, + "intervals": 44884, + "interven": 18245, + "intervention": 16804, + "interventions": 28848, + "interview": 2885, + "interviewed": 11688, + "interviewing": 16399, + "interviews": 9910, + "intestin": 37938, + "intestinal": 38896, + "inthe": 7486, + "inti": 14459, + "intim": 38832, + "intimacy": 46430, + "intimate": 16382, + "intimid": 24041, + "intimidating": 44405, + "intimidation": 49258, + "inting": 15571, + "intl": 38186, + "intl": 14224, + "intment": 9020, + "intments": 21420, + "into": 35235, + "into": 1095, + "intoler": 28534, + "intolerance": 37808, + "intothe": 38511, + "intra": 20922, + "intrac": 46195, + "intram": 40956, + "intre": 29397, + "intrepid": 39127, + "intri": 15421, + "intric": 23763, + "intricate": 29616, + "intrigu": 18856, + "intrigue": 45140, + "intrigued": 40034, + "intriguing": 24334, + "intrin": 45181, + "intro": 2999, + "intro": 13224, + "introduc": 3621, + "introduce": 9813, + "introduced": 10446, + "introduces": 12933, + "introducing": 6256, + "introduction": 11812, + "introductory": 38121, + "intru": 22949, + "ints": 2514, + "intu": 17225, + "intuition": 40897, + "intuitive": 35224, + "inu": 21131, + "inuit": 41250, + "inus": 45857, + "inv": 2279, + "inv": 43786, + "inva": 10084, + "invade": 34609, + "invaded": 32596, + "invaders": 35188, + "invading": 40101, + "invali": 31592, + "invalid": 46998, + "invaluable": 33976, + "invasi": 38100, + "invasion": 13378, + "invasive": 19554, + "inve": 2024, + "inven": 26233, + "invent": 11665, + "invent": 23558, + "invented": 14100, + "invention": 23607, + "inventions": 44914, + "inventor": 22836, + "inventory": 19444, + "inver": 12061, + "inverness": 33080, + "inverte": 46397, + "inverted": 40709, + "invest": 4180, + "invest": 9716, + "invested": 22536, + "investig": 4626, + "investigate": 15703, + "investigated": 29180, + "investigates": 29621, + "investigating": 13713, + "investigation": 8194, + "investigations": 24020, + "investigative": 30233, + "investigator": 30528, + "investigators": 24121, + "investin": 40195, + "investing": 10554, + "investment": 5605, + "investments": 14675, + "investor": 15490, + "investors": 10486, + "invests": 38378, + "invic": 25253, + "invigor": 48722, + "invin": 30252, + "invincible": 38052, + "invisible": 16093, + "invit": 12454, + "invitation": 15032, + "invitational": 14511, + "invitations": 40120, + "invite": 8109, + "invited": 7731, + "invites": 16034, + "inviting": 14349, + "invo": 29417, + "invol": 4000, + "involve": 26325, + "involved": 5320, + "involvement": 19502, + "involves": 22652, + "involving": 14786, + "inwx": 35674, + "iny": 23257, + "inyour": 47954, + "io": 3167, + "io": 3752, + "ioc": 43018, + "iom": 33000, + "iom": 31135, + "ion": 14871, + "ion": 3668, + "ions": 26289, + "ior": 7354, + "ior": 2498, + "iority": 46016, + "iors": 6427, + "ios": 6614, + "iot": 32694, + "iot": 6627, + "iota": 37294, + "ious": 6994, + "iously": 38233, + "iow": 7439, + "iowa": 38847, + "iowa": 8290, + "ip": 1719, + "ip": 8600, + "ipa": 11199, + "ipad": 39067, + "ipad": 7491, + "ipads": 35281, + "ipc": 41981, + "iphone": 26030, + "iphone": 4314, + "iphones": 37561, + "ipl": 13440, + "ipment": 37824, + "ipo": 40218, + "ipo": 24090, + "ipod": 17889, + "ipp": 31706, + "ips": 26910, + "ipsw": 22221, + "ipswich": 24494, + "iq": 15554, + "iq": 19996, + "iqbal": 33553, + "ir": 582, + "ir": 742, + "ira": 4923, + "ira": 5371, + "irah": 35724, + "iran": 19273, + "iran": 5075, + "irandeal": 46533, + "irani": 37984, + "iranian": 14158, + "iraq": 8543, + "iraqi": 18617, + "irc": 41527, + "ird": 2770, + "ire": 3013, + "ire": 1454, + "ired": 32728, + "ired": 2995, + "ireland": 32806, + "ireland": 4157, + "irene": 21600, + "ires": 12435, + "irez": 21581, + "irgc": 47942, + "iri": 2155, + "iri": 13880, + "irical": 33366, + "irie": 42979, + "irina": 46664, + "iring": 10169, + "iris": 16437, + "irish": 9386, + "irish": 4889, + "irl": 34494, + "irl": 8570, + "irling": 26493, + "irls": 24344, + "irma": 22406, + "irn": 42603, + "iro": 23209, + "iro": 7280, + "iron": 7699, + "iron": 5391, + "ironic": 24518, + "ironically": 36779, + "ironing": 46655, + "ironman": 20330, + "irons": 30032, + "irony": 20681, + "irport": 27769, + "irr": 24641, + "irrational": 47413, + "irregular": 38692, + "irrelevant": 34677, + "irresi": 31200, + "irresistible": 35252, + "irresponsible": 44714, + "irri": 21484, + "irrigation": 23761, + "irrit": 24218, + "irs": 6086, + "irst": 32701, + "iru": 48206, + "irvin": 47053, + "irvine": 24201, + "irving": 19738, + "irwin": 23750, + "iry": 7239, + "is": 595, + "is": 533, + "isa": 11034, + "isa": 6536, + "isaac": 37544, + "isaac": 13659, + "isab": 13357, + "isabel": 27466, + "isabella": 26192, + "isabelle": 31072, + "isable": 46631, + "isai": 15365, + "isaiah": 17952, + "isak": 40619, + "isance": 46893, + "isation": 7194, + "isback": 43811, + "isc": 39316, + "isch": 47888, + "isco": 5736, + "iscoming": 26458, + "isd": 46816, + "isd": 12002, + "ise": 7669, + "ise": 1479, + "ised": 2861, + "iselle": 48491, + "iser": 23080, + "iser": 5626, + "isers": 34879, + "ises": 5153, + "isf": 44036, + "isgreat": 34595, + "ish": 6844, + "ish": 1061, + "isha": 28050, + "ishable": 37949, + "ished": 35341, + "ishere": 46053, + "ishi": 26224, + "ishq": 27996, + "ishqba": 32503, + "ishqbaaaz": 36591, + "isi": 7233, + "isi": 17880, + "isil": 34636, + "isin": 37676, + "ising": 3426, + "isis": 7531, + "isk": 30171, + "isl": 31368, + "isla": 22807, + "islam": 6003, + "islam": 8770, + "islamabad": 19959, + "islamic": 31627, + "islamic": 9552, + "islamist": 38798, + "islamophobia": 43459, + "island": 13408, + "island": 2619, + "islander": 45651, + "islanders": 27804, + "islands": 7145, + "islay": 49279, + "isle": 19082, + "isle": 11849, + "isleof": 24718, + "isles": 21816, + "islife": 26433, + "islington": 34945, + "ism": 47730, + "ism": 1935, + "isma": 43937, + "ismail": 36140, + "isme": 43570, + "ismo": 41926, + "isms": 18700, + "isn": 2923, + "isner": 48246, + "isnow": 43694, + "isnt": 19416, + "iso": 2462, + "iso": 12263, + "isol": 11414, + "isolated": 19044, + "isolation": 26400, + "ison": 12949, + "ison": 4553, + "isons": 33318, + "isoo": 35857, + "isp": 31397, + "isp": 39041, + "isra": 3591, + "israel": 20837, + "israel": 4779, + "israeli": 8994, + "israelis": 45713, + "isreal": 47147, + "isro": 44841, + "iss": 11738, + "iss": 4950, + "issa": 38579, + "issa": 7560, + "issan": 49358, + "issance": 40828, + "issant": 38828, + "isse": 18986, + "ission": 37946, + "issu": 2049, + "issue": 3202, + "issued": 9246, + "issues": 4082, + "issuing": 37226, + "ist": 9751, + "ist": 2304, + "istanbul": 12258, + "istandwith": 33820, + "iste": 32563, + "ister": 14555, + "isthe": 46748, + "istic": 29556, + "ists": 8426, + "isu": 17030, + "isu": 23328, + "it": 529, + "it": 585, + "ita": 36920, + "ita": 2864, + "itable": 8915, + "ital": 2306, + "ital": 1660, + "itali": 11644, + "italia": 11025, + "italian": 20264, + "italian": 5175, + "italians": 44744, + "italk": 32894, + "italy": 4052, + "itan": 18383, + "itans": 40711, + "itar": 47161, + "itarian": 11599, + "itary": 17604, + "itas": 31634, + "itas": 13436, + "itate": 42457, + "itated": 36744, + "itation": 5070, + "itative": 22892, + "itc": 36449, + "itch": 2387, + "itch": 8147, + "itchen": 32664, + "itchy": 41980, + "ite": 2732, + "ite": 802, + "iteam": 37828, + "itec": 3099, + "itec": 43936, + "itech": 44215, + "itech": 23040, + "ited": 8603, + "ited": 1108, + "itel": 44638, + "itely": 4605, + "item": 8532, + "items": 6207, + "iter": 7938, + "iter": 19773, + "iteracy": 39634, + "iterate": 43106, + "iteration": 38790, + "ites": 2454, + "itez": 42131, + "itf": 35436, + "itfc": 36519, + "ith": 6133, + "ith": 1757, + "ithaca": 46257, + "iti": 760, + "iti": 6165, + "itia": 22634, + "itian": 23365, + "itic": 11950, + "itical": 48767, + "itics": 33967, + "ities": 41423, + "ities": 1480, + "itim": 15676, + "itiner": 32803, + "itinerary": 41564, + "iting": 1257, + "ition": 25263, + "ition": 1104, + "itions": 5540, + "itious": 13329, + "itis": 33539, + "itis": 8388, + "itive": 3067, + "itly": 42240, + "ito": 22167, + "ito": 4661, + "iton": 21119, + "itor": 47267, + "itor": 4584, + "itors": 22005, + "itos": 24560, + "its": 7140, + "its": 902, + "itsa": 45032, + "itself": 7290, + "itsme": 41125, + "itss": 47040, + "itt": 1031, + "itt": 11228, + "itta": 21233, + "itte": 31962, + "itted": 24429, + "itten": 30014, + "itten": 4343, + "itter": 11456, + "itters": 13082, + "itti": 28629, + "ittin": 25646, + "itting": 3147, + "ittle": 24208, + "ittle": 21366, + "ittles": 38989, + "itton": 25707, + "itty": 35096, + "itu": 1668, + "itu": 32128, + "itude": 43382, + "itude": 5012, + "itudes": 20459, + "itunes": 7007, + "itup": 35838, + "iture": 25547, + "itus": 24364, + "itutes": 32883, + "itv": 20159, + "itv": 12805, + "ity": 2480, + "ity": 696, + "itya": 32055, + "itz": 14544, + "itz": 7807, + "iu": 14292, + "iu": 15575, + "ium": 10762, + "ius": 6740, + "iv": 6775, + "iv": 9315, + "iva": 42463, + "ivan": 15544, + "ivan": 15689, + "ivanka": 37914, + "ive": 26885, + "ive": 8653, + "ived": 15654, + "iver": 36849, + "iver": 44254, + "ives": 27333, + "ivf": 39159, + "iving": 45136, + "ivory": 16776, + "ivote": 45835, + "ivy": 36939, + "ivy": 16045, + "iw": 13058, + "iw": 46604, + "iwant": 42747, + "iwd": 16815, + "iwm": 44237, + "ix": 13272, + "ix": 8756, + "iy": 13704, + "iya": 18595, + "iyaki": 48395, + "iz": 2845, + "iz": 8407, + "iza": 37704, + "ization": 10847, + "ize": 10885, + "ized": 7690, + "izen": 34776, + "izer": 23895, + "izes": 45434, + "izing": 17354, + "izo": 46910, + "izz": 31779, + "izz": 46128, + "izzy": 28861, + "j": 73, + "j": 329, + "ja": 1586, + "ja": 2641, + "jaan": 25052, + "jab": 8059, + "jab": 9439, + "jac": 2293, + "jac": 30198, + "jace": 43286, + "jack": 2679, + "jack": 3267, + "jacked": 27923, + "jacket": 6164, + "jackets": 14745, + "jacki": 47418, + "jackie": 28023, + "jackie": 11716, + "jacking": 40929, + "jackman": 35723, + "jackpot": 23926, + "jacks": 19649, + "jackson": 12321, + "jackson": 4363, + "jacksonville": 19263, + "jaco": 6840, + "jacob": 14385, + "jacob": 9222, + "jacobs": 17482, + "jacobson": 46826, + "jacqu": 14495, + "jacqueline": 22843, + "jacques": 17799, + "jad": 12976, + "jad": 38691, + "jada": 37416, + "jade": 25123, + "jade": 14513, + "jaden": 37174, + "jadine": 37445, + "jae": 16869, + "jae": 15765, + "jaejoong": 43610, + "jaf": 19362, + "jag": 7984, + "jag": 36236, + "jagan": 48530, + "jagger": 30835, + "jags": 31086, + "jagu": 10096, + "jaguar": 44777, + "jaguar": 14757, + "jaguars": 21854, + "jah": 20067, + "jah": 11084, + "jahan": 44404, + "jahan": 47827, + "jai": 10542, + "jai": 13819, + "jail": 18574, + "jail": 9332, + "jailbreak": 45990, + "jailed": 19456, + "jails": 47833, + "jaime": 24716, + "jain": 21999, + "jaipur": 23593, + "jais": 48607, + "jait": 28910, + "jaitley": 32776, + "jak": 9225, + "jak": 30589, + "jakarta": 15471, + "jake": 13140, + "jake": 7419, + "jakob": 47358, + "jal": 8380, + "jal": 26773, + "jalan": 27270, + "jalap": 49081, + "jalape": 34263, + "jalapeño": 43017, + "jalen": 33548, + "jam": 1434, + "jam": 5201, + "jama": 8977, + "jama": 35366, + "jamaica": 13019, + "jamaican": 25144, + "jamal": 26108, + "jambo": 35599, + "jamboree": 38506, + "jame": 12341, + "james": 6963, + "james": 2392, + "jamesbond": 44704, + "jamesc": 47004, + "jameson": 31731, + "jami": 15092, + "jamie": 16454, + "jamie": 8078, + "jamiedor": 34310, + "jamiedornan": 34896, + "jammed": 35590, + "jammin": 35223, + "jamming": 25862, + "jammu": 25926, + "jams": 20243, + "jan": 1891, + "jan": 3334, + "jana": 18182, + "jane": 12389, + "jane": 6736, + "janeiro": 31740, + "janet": 29665, + "janet": 15872, + "jang": 41526, + "jang": 22074, + "jani": 22606, + "janice": 36048, + "janine": 46896, + "janis": 44233, + "jann": 35377, + "jans": 22578, + "jansen": 45354, + "janu": 3623, + "january": 3697, + "jap": 2299, + "jap": 49062, + "japan": 4502, + "japan": 3400, + "japanese": 27211, + "japanese": 4925, + "japs": 42121, + "jar": 5120, + "jar": 10837, + "jard": 25778, + "jardin": 37371, + "jare": 17654, + "jared": 35597, + "jared": 12571, + "jaredle": 36739, + "jaredleto": 37106, + "jaro": 35505, + "jarpad": 44497, + "jarre": 23385, + "jarrett": 30531, + "jars": 27583, + "jarvis": 29286, + "jas": 4492, + "jas": 17559, + "jasmin": 42989, + "jasmin": 47700, + "jasmine": 17056, + "jason": 10009, + "jason": 5395, + "jasper": 19827, + "jat": 26106, + "jau": 26932, + "jauregui": 48175, + "jav": 6234, + "java": 12918, + "javascri": 16289, + "javascript": 16423, + "jave": 46218, + "javed": 42268, + "javelin": 41701, + "javi": 47627, + "javier": 23307, + "jaw": 14804, + "jaw": 17307, + "jawa": 44790, + "jaws": 25491, + "jax": 22348, + "jax": 12390, + "jay": 3427, + "jay": 4155, + "jaya": 21960, + "jayanti": 37732, + "jaye": 45703, + "jayne": 35228, + "jays": 12393, + "jaz": 3465, + "jaz": 32874, + "jazeera": 38260, + "jazz": 11488, + "jazz": 4528, + "jazzfest": 36683, + "jazzy": 28191, + "jb": 21915, + "jb": 13637, + "jc": 14991, + "jc": 11517, + "jd": 18289, + "jd": 14125, + "jdm": 42013, + "je": 1013, + "je": 8776, + "jeal": 9964, + "jealous": 11093, + "jealousy": 37654, + "jean": 13943, + "jean": 6473, + "jeanette": 48167, + "jeanne": 29201, + "jeans": 10157, + "jeb": 35101, + "jec": 1347, + "ject": 6070, + "jed": 12166, + "jed": 38748, + "jeddah": 40982, + "jedi": 16681, + "jee": 29250, + "jee": 14870, + "jeep": 16593, + "jeep": 11286, + "jeeplife": 43100, + "jeet": 45542, + "jeet": 30944, + "jef": 10276, + "jeff": 6245, + "jeff": 5550, + "jefferson": 44711, + "jefferson": 13976, + "jeffery": 41470, + "jeffree": 45994, + "jeffrey": 32886, + "jeffrey": 16027, + "jeho": 42437, + "jeky": 43893, + "jekyll": 49405, + "jel": 9794, + "jelena": 48218, + "jelly": 19110, + "jelly": 13762, + "jellyfish": 30988, + "jem": 46326, + "jem": 37530, + "jen": 2554, + "jen": 12997, + "jenkins": 16162, + "jenn": 33921, + "jenn": 29869, + "jenna": 17125, + "jenner": 14260, + "jenni": 6774, + "jennie": 28875, + "jennifer": 19786, + "jennifer": 8613, + "jennings": 21564, + "jenny": 20165, + "jenny": 13414, + "jens": 40806, + "jensen": 35558, + "jensen": 19004, + "jensenackles": 41011, + "jeon": 45200, + "jeon": 43337, + "jeong": 47146, + "jeong": 39264, + "jeopar": 22988, + "jeopardy": 29613, + "jer": 2310, + "jer": 35307, + "jere": 5614, + "jeremi": 22362, + "jeremiah": 27301, + "jeremy": 14656, + "jeremy": 8127, + "jeremycorbyn": 37484, + "jeric": 25084, + "jericho": 28892, + "jerk": 23917, + "jerky": 40079, + "jermaine": 40722, + "jerome": 19876, + "jerry": 18163, + "jerry": 9164, + "jersey": 21921, + "jersey": 4471, + "jerseys": 15518, + "jerus": 12257, + "jerusalem": 12557, + "jes": 7686, + "jes": 35826, + "jess": 5313, + "jess": 13758, + "jesse": 23112, + "jesse": 11770, + "jessi": 24373, + "jessic": 14881, + "jessica": 45421, + "jessica": 8178, + "jessie": 19424, + "jester": 44225, + "jesu": 19777, + "jesuit": 33234, + "jesus": 4070, + "jet": 11515, + "jet": 6565, + "jetblue": 45021, + "jeter": 38450, + "jets": 38584, + "jets": 10025, + "jett": 44541, + "jetty": 46382, + "jew": 27450, + "jewel": 4880, + "jewel": 17591, + "jewell": 9777, + "jewellers": 46265, + "jewellery": 11192, + "jewelry": 28018, + "jewelry": 6039, + "jewels": 20205, + "jewish": 29594, + "jewish": 9104, + "jews": 14200, + "jf": 31130, + "jf": 33718, + "jfc": 43652, + "jfk": 18486, + "jg": 41986, + "jg": 35138, + "jh": 24858, + "jh": 21485, + "jha": 47012, + "jha": 38092, + "jhal": 45695, + "jhar": 31546, + "jharkhand": 39001, + "jhb": 34631, + "ji": 3252, + "ji": 2697, + "jia": 32907, + "jian": 33427, + "jiang": 43309, + "jiang": 25762, + "jic": 48350, + "jic": 40215, + "jid": 24403, + "jie": 40005, + "jig": 15136, + "jig": 47430, + "jigsaw": 32987, + "jiha": 23194, + "jihad": 29637, + "jihoon": 44765, + "jil": 36225, + "jill": 24136, + "jill": 15254, + "jillian": 37820, + "jim": 3190, + "jim": 4550, + "jima": 20679, + "jimcantore": 43950, + "jimenez": 35947, + "jimi": 30565, + "jimin": 16286, + "jimmie": 45679, + "jimmy": 12215, + "jimmy": 6817, + "jimmyfallon": 45265, + "jin": 7927, + "jin": 8485, + "jind": 40609, + "jing": 34933, + "jing": 28607, + "jingle": 28699, + "jinnah": 43141, + "jinping": 39308, + "jinx": 42977, + "jinyoung": 38051, + "jio": 40501, + "jis": 25988, + "jis": 23515, + "jisoo": 43070, + "jit": 11947, + "jit": 20308, + "jitsu": 24530, + "jiu": 43351, + "jiu": 44123, + "jj": 12502, + "jj": 12790, + "jk": 20189, + "jk": 9702, + "jkt": 21494, + "jl": 25027, + "jl": 22911, + "jlo": 31017, + "jm": 24044, + "jm": 18657, + "jn": 24576, + "jn": 21717, + "jnr": 37145, + "jnu": 47142, + "jo": 683, + "jo": 3804, + "joachim": 48979, + "joan": 28064, + "joan": 12710, + "joann": 35484, + "joanna": 25357, + "joanne": 43736, + "joanne": 25092, + "joao": 45666, + "joaqu": 25140, + "joaquin": 30745, + "job": 13114, + "job": 2075, + "jobs": 3735, + "jobsearch": 45459, + "joburg": 39343, + "jocel": 36879, + "jocelyn": 47259, + "jock": 34485, + "jockey": 20126, + "jodh": 48689, + "jodi": 36812, + "jodi": 26888, + "jodie": 33100, + "jody": 32959, + "joe": 9309, + "joe": 3305, + "joel": 19819, + "joel": 11429, + "joes": 34756, + "joey": 16281, + "joey": 10455, + "jog": 37967, + "jog": 31691, + "jogging": 37922, + "joh": 1201, + "johan": 17416, + "johan": 27789, + "johann": 31180, + "johanna": 41494, + "johannes": 37779, + "johannesburg": 28377, + "johansson": 41512, + "johar": 34871, + "john": 2004, + "john": 1742, + "johncena": 46820, + "johnnie": 47947, + "johnny": 14464, + "johnny": 6904, + "johns": 14515, + "johnson": 26036, + "johnson": 4010, + "johnston": 19791, + "johnstone": 40766, + "johor": 34750, + "join": 14737, + "join": 1384, + "joined": 4954, + "joining": 5118, + "joins": 5681, + "joint": 6640, + "jointhe": 30422, + "jointly": 37471, + "joints": 27204, + "jojo": 41484, + "jojo": 22075, + "joke": 7198, + "joker": 18200, + "jokers": 44101, + "jokes": 11336, + "joking": 26112, + "joko": 44975, + "jol": 9174, + "jol": 36470, + "jolie": 31633, + "jolla": 46109, + "jolly": 21516, + "jom": 32152, + "jon": 3026, + "jon": 6139, + "jona": 6629, + "jonah": 47934, + "jonah": 27556, + "jonas": 42373, + "jonas": 13650, + "jonathan": 19026, + "jonathan": 7762, + "jone": 33934, + "jones": 19091, + "jones": 3538, + "jong": 20214, + "jong": 14726, + "jonghyun": 29023, + "jongin": 36957, + "joni": 43177, + "jonny": 28454, + "jonny": 21895, + "joo": 25807, + "joo": 27680, + "joom": 47543, + "joon": 18547, + "joong": 26544, + "jop": 30486, + "joplin": 42688, + "jor": 2482, + "jor": 31595, + "jordan": 14644, + "jordan": 4388, + "jordani": 46898, + "jordi": 44795, + "jorge": 48761, + "jorge": 18225, + "jos": 20560, + "jos": 19661, + "jose": 4647, + "jose": 7075, + "josef": 36584, + "josel": 47800, + "joseph": 14163, + "joseph": 6478, + "josephine": 34866, + "josh": 9998, + "josh": 5679, + "joshi": 24786, + "joshu": 9112, + "joshua": 11852, + "josi": 33583, + "josie": 33167, + "joss": 42834, + "josé": 27922, + "jou": 19921, + "jou": 32029, + "jour": 2078, + "jour": 17142, + "journ": 4563, + "journal": 6626, + "journalism": 10123, + "journalist": 9914, + "journalists": 12249, + "journals": 24391, + "journe": 48833, + "journey": 32156, + "journey": 3749, + "journeys": 23329, + "journo": 37034, + "journos": 46437, + "jovi": 33866, + "joy": 6308, + "joy": 4273, + "joyce": 43753, + "joyce": 15275, + "joye": 34052, + "joyeux": 41876, + "joyful": 24139, + "joyous": 32245, + "joyride": 46949, + "joys": 22996, + "jp": 18249, + "jp": 10557, + "jpg": 36950, + "jpn": 36212, + "jr": 13973, + "jr": 3605, + "js": 46243, + "js": 8006, + "jst": 26523, + "jt": 39480, + "jt": 18119, + "ju": 669, + "ju": 9970, + "jual": 38720, + "juan": 17148, + "juan": 9274, + "juana": 9081, + "jubi": 15485, + "jubil": 47743, + "jubilee": 16907, + "juco": 31570, + "jud": 8363, + "juda": 32478, + "judah": 41066, + "judaism": 42217, + "judas": 39532, + "judd": 29770, + "judg": 20012, + "judge": 16824, + "judge": 5656, + "judged": 33453, + "judgement": 25246, + "judges": 12575, + "judging": 16570, + "judgment": 24191, + "judi": 42546, + "judice": 28032, + "judicial": 19579, + "judiciary": 24545, + "judith": 24047, + "judo": 27011, + "judy": 34663, + "judy": 16510, + "jug": 27619, + "jugg": 38628, + "juic": 38761, + "juice": 37954, + "juice": 6916, + "juices": 36757, + "juicy": 17623, + "juju": 43020, + "juke": 32519, + "jukebox": 36411, + "jul": 34662, + "jul": 15975, + "jule": 40819, + "jules": 21996, + "juli": 3614, + "juli": 49160, + "julia": 10207, + "julian": 25459, + "julian": 12643, + "juliana": 46059, + "julie": 22534, + "julie": 10505, + "julien": 32595, + "juliet": 20641, + "juliette": 44804, + "julio": 24888, + "julius": 20870, + "july": 2272, + "jum": 20791, + "jumbo": 24678, + "jume": 45989, + "jump": 5519, + "jump": 6423, + "jumped": 16901, + "jumper": 16558, + "jumpers": 36485, + "jumping": 11476, + "jumpman": 48803, + "jumps": 18911, + "jumpsuit": 31044, + "jun": 1637, + "jun": 7719, + "junction": 11320, + "june": 23188, + "june": 2345, + "jung": 13086, + "jung": 13031, + "jungkook": 20040, + "jungle": 42421, + "jungle": 10865, + "juni": 4029, + "junior": 21167, + "junior": 5027, + "juniors": 16811, + "juniper": 33829, + "junk": 16000, + "junkie": 27613, + "junkies": 41207, + "juno": 28845, + "junto": 34282, + "jupit": 15270, + "jupiter": 16212, + "jur": 15896, + "jura": 14715, + "jurassic": 28844, + "jurassic": 21255, + "jurgen": 39263, + "juris": 37010, + "jurisdic": 37714, + "jury": 12931, + "jus": 14999, + "just": 1770, + "just": 761, + "justi": 14700, + "justic": 30399, + "justice": 16904, + "justice": 3604, + "justicefor": 25812, + "justiceleague": 41929, + "justices": 44356, + "justified": 34546, + "justify": 28192, + "justin": 7537, + "justin": 4394, + "justinbieber": 12501, + "justine": 34418, + "justintrudeau": 32184, + "justsaying": 42922, + "juve": 47717, + "juve": 23092, + "juven": 12944, + "juvenile": 19333, + "juvent": 13908, + "juventus": 47378, + "juventus": 16208, + "jux": 33552, + "juxta": 34964, + "jv": 37932, + "jv": 11805, + "jw": 30221, + "jw": 24215, + "jy": 20979, + "jyo": 27378, + "jyoti": 48696, + "jä": 45381, + "k": 74, + "k": 330, + "ka": 1595, + "ka": 1525, + "kaa": 34496, + "kab": 6554, + "kab": 45134, + "kabaddi": 41749, + "kabir": 38619, + "kabo": 47974, + "kabul": 26160, + "kac": 21693, + "kach": 14341, + "kad": 10901, + "kade": 41130, + "kaduna": 38053, + "kae": 22542, + "kaeper": 30070, + "kaepernick": 30713, + "kaf": 19870, + "kag": 13666, + "kag": 31003, + "kah": 16068, + "kah": 15463, + "kahn": 35397, + "kai": 12752, + "kai": 9601, + "kaido": 40255, + "kail": 23623, + "kaine": 39028, + "kair": 33027, + "kaiser": 43685, + "kaiser": 29960, + "kait": 19326, + "kaitlyn": 34948, + "kaj": 44788, + "kaj": 40381, + "kak": 10401, + "kak": 40128, + "kaka": 47689, + "kaku": 30900, + "kal": 4187, + "kal": 18712, + "kala": 45453, + "kala": 33105, + "kalam": 40142, + "kalamaz": 42328, + "kalamazoo": 46264, + "kalb": 34483, + "kale": 17162, + "kale": 16625, + "kaleido": 41144, + "kali": 17844, + "kali": 26964, + "kalin": 42776, + "kalyan": 23825, + "kam": 4104, + "kam": 26011, + "kamal": 31371, + "kamal": 28619, + "kamala": 45003, + "kame": 45235, + "kamen": 40738, + "kami": 28707, + "kamloops": 36602, + "kamp": 35179, + "kamp": 29522, + "kampala": 37134, + "kan": 2532, + "kan": 8101, + "kana": 35178, + "kand": 17478, + "kane": 32218, + "kane": 9765, + "kang": 12226, + "kang": 20789, + "kangar": 20622, + "kangaroo": 25513, + "kani": 40907, + "kani": 41948, + "kann": 18533, + "kannada": 30053, + "kano": 28201, + "kans": 34012, + "kansas": 25507, + "kansas": 6539, + "kansascity": 46134, + "kant": 39923, + "kant": 47132, + "kanth": 24427, + "kanu": 44565, + "kany": 13590, + "kanye": 29680, + "kanye": 14965, + "kanyewest": 31943, + "kap": 6804, + "kap": 45279, + "kapam": 48561, + "kapil": 32337, + "kapil": 42709, + "kapilshar": 48978, + "kaplan": 37401, + "kapoor": 9117, + "kapp": 36717, + "kappa": 20239, + "kapur": 42371, + "kar": 1813, + "kar": 5933, + "kara": 12552, + "karab": 40916, + "karachi": 13671, + "karak": 40372, + "karan": 20077, + "karan": 20931, + "karanjohar": 47621, + "karao": 16262, + "karaoke": 16640, + "karate": 21211, + "kardashi": 13619, + "kardashian": 14578, + "kare": 14310, + "kare": 38354, + "kareem": 38885, + "kareena": 41569, + "karen": 17719, + "karen": 10349, + "kari": 15339, + "kari": 15161, + "karim": 33477, + "karin": 43917, + "karina": 40250, + "karl": 20967, + "karl": 13134, + "karla": 42309, + "karma": 17658, + "karnat": 13994, + "karnataka": 15515, + "karo": 45305, + "kart": 47841, + "kart": 21310, + "karthik": 41397, + "karti": 23053, + "kartikeyan": 32584, + "karting": 41655, + "kas": 6119, + "kas": 14372, + "kasa": 46111, + "kash": 6954, + "kash": 21371, + "kashi": 47945, + "kashmir": 20251, + "kashmir": 10783, + "kashmiri": 35331, + "kasi": 45870, + "kasi": 32819, + "kasich": 39666, + "kat": 2844, + "kat": 9341, + "kata": 14558, + "kate": 11620, + "kate": 6699, + "katelyn": 45963, + "kath": 7386, + "kath": 19745, + "katharine": 41473, + "katherine": 17687, + "kathle": 18721, + "kathleen": 21709, + "kathmandu": 34456, + "kathniel": 36159, + "kathr": 14905, + "kathryn": 33142, + "kathryn": 19999, + "kathy": 34775, + "kathy": 18795, + "kati": 6515, + "kati": 29928, + "katic": 48058, + "katie": 24117, + "katie": 9076, + "katniss": 47916, + "kato": 27573, + "katrin": 31282, + "katrina": 21397, + "katrinakaif": 45845, + "kats": 44213, + "katsu": 49296, + "katsu": 43712, + "katy": 17609, + "katy": 14435, + "katyperry": 28309, + "katz": 30790, + "kau": 9299, + "kau": 36895, + "kauai": 44050, + "kaufman": 37188, + "kaur": 30518, + "kav": 10228, + "kavan": 18576, + "kavanaugh": 20252, + "kaw": 10842, + "kaw": 42719, + "kawa": 33244, + "kawaii": 26891, + "kawasaki": 28227, + "kawhi": 41220, + "kay": 4673, + "kay": 9862, + "kaya": 22752, + "kayak": 27043, + "kayaking": 28977, + "kaye": 33003, + "kayla": 17139, + "kaylee": 47215, + "kayo": 37021, + "kaz": 8812, + "kaz": 39622, + "kazakh": 25451, + "kazakhstan": 26720, + "kazan": 47641, + "kb": 27381, + "kb": 19960, + "kbs": 27418, + "kc": 10869, + "kc": 8638, + "kca": 14347, + "kcon": 39970, + "kcr": 46181, + "kd": 21826, + "kd": 15597, + "kday": 31074, + "kdrama": 48628, + "ke": 643, + "ke": 618, + "kea": 47926, + "kean": 43288, + "keane": 28635, + "keanu": 40608, + "kear": 21562, + "kearney": 36435, + "keating": 40045, + "keaton": 29975, + "kebab": 36497, + "ked": 11730, + "ked": 1243, + "kee": 9724, + "kee": 6760, + "keef": 42323, + "keefe": 46965, + "keegan": 31122, + "keel": 48376, + "keen": 17714, + "keen": 13218, + "keenan": 36276, + "keep": 2924, + "keep": 1726, + "keeper": 7650, + "keepers": 16130, + "keepin": 41712, + "keeping": 38371, + "keeping": 4873, + "keepit": 28044, + "keeps": 6333, + "keer": 27412, + "keerth": 47500, + "keerthyofficial": 48185, + "kees": 10791, + "keg": 32785, + "keh": 41272, + "keh": 36983, + "kei": 18735, + "kei": 24835, + "keith": 18762, + "keith": 8252, + "kej": 15674, + "kejri": 16617, + "kejriwal": 17334, + "keke": 39195, + "kel": 2825, + "kel": 7553, + "kele": 41765, + "kell": 16082, + "kell": 40103, + "keller": 21407, + "kelley": 23776, + "kelli": 45852, + "kelli": 46190, + "kellie": 49224, + "kellogg": 44218, + "kelly": 13417, + "kelly": 5220, + "kelown": 31708, + "kelowna": 32963, + "kelsey": 42295, + "kelsey": 23018, + "kelvin": 32859, + "kem": 31013, + "kem": 17349, + "kemp": 18302, + "kemp": 25325, + "ken": 1838, + "ken": 1702, + "kend": 7497, + "kendal": 44836, + "kendall": 34607, + "kendall": 16238, + "kendra": 36074, + "kendrick": 41787, + "kendrick": 21953, + "kendricklamar": 47020, + "kenne": 6209, + "kennedy": 38631, + "kennedy": 9004, + "kennel": 39595, + "kenneth": 46900, + "kenneth": 17839, + "kenney": 41373, + "kenny": 20185, + "kenny": 9595, + "kens": 29765, + "kensing": 21505, + "kensington": 24988, + "kent": 13875, + "kent": 8214, + "kentu": 9045, + "kentucky": 32230, + "kentucky": 10014, + "keny": 17374, + "kenya": 6181, + "kenyan": 22624, + "kenyans": 36263, + "kenyatta": 31012, + "kenzie": 38087, + "keo": 43062, + "kept": 7737, + "ker": 2352, + "ker": 1485, + "keral": 35122, + "kerala": 11881, + "kered": 26690, + "kerel": 32232, + "keri": 43447, + "kermit": 40908, + "kern": 40150, + "kernel": 40684, + "kerr": 20491, + "kerri": 41849, + "kerry": 24795, + "kerry": 13097, + "kers": 30347, + "kers": 2880, + "kershaw": 40785, + "kerson": 42810, + "kerswednesday": 48152, + "kert": 47279, + "kes": 38398, + "kes": 1115, + "kesh": 19751, + "kesha": 36526, + "kest": 15080, + "ket": 2715, + "ket": 1236, + "ketball": 38240, + "ketch": 22590, + "ketch": 35371, + "ketchup": 26724, + "kete": 25404, + "keted": 41396, + "keting": 15951, + "keto": 27485, + "keto": 28754, + "kets": 1632, + "kett": 23124, + "kett": 10312, + "kettering": 43779, + "kettle": 41992, + "kettle": 24303, + "kev": 22758, + "kev": 29419, + "kevin": 9419, + "kevin": 4685, + "kew": 38014, + "kew": 31409, + "kex": 30251, + "key": 2891, + "key": 1458, + "keyan": 27617, + "keyboard": 13017, + "keyboards": 49237, + "keychain": 31050, + "keye": 40516, + "keye": 20635, + "keyes": 18336, + "keynes": 32462, + "keynote": 7556, + "keys": 48912, + "keys": 6355, + "keystone": 30688, + "keyword": 42284, + "keywords": 48122, + "kf": 33308, + "kf": 42119, + "kfc": 22032, + "kg": 36772, + "kg": 7817, + "kgs": 46629, + "kh": 2166, + "kh": 7452, + "kha": 7333, + "kha": 18929, + "khair": 43742, + "khaki": 41646, + "khal": 13070, + "khaled": 29343, + "khali": 11324, + "khalid": 27166, + "khalifa": 21389, + "khalil": 36229, + "kham": 24892, + "khan": 13318, + "khan": 3873, + "khand": 43384, + "khand": 31110, + "khanna": 29931, + "khar": 18340, + "khar": 28578, + "khart": 37458, + "khat": 43290, + "khe": 26360, + "kher": 43843, + "khi": 39062, + "khi": 42925, + "khil": 34101, + "khloe": 45312, + "kho": 14022, + "kho": 28774, + "khou": 30656, + "khs": 21239, + "khtar": 45593, + "khu": 14041, + "khur": 32083, + "khy": 40917, + "khz": 45604, + "ki": 848, + "ki": 2608, + "kia": 8712, + "kian": 43961, + "kian": 25708, + "kians": 44010, + "kib": 43108, + "kiba": 37207, + "kic": 24003, + "kic": 27633, + "kicchasu": 44665, + "kicchasudeep": 45560, + "kick": 4102, + "kick": 4289, + "kickass": 39299, + "kickboxing": 36041, + "kicked": 12479, + "kicker": 26338, + "kickin": 34597, + "kicking": 7802, + "kickoff": 10245, + "kicks": 6989, + "kickstart": 40780, + "kickstarter": 13228, + "kid": 3948, + "kid": 3551, + "kidd": 24082, + "kidding": 14535, + "kiddo": 36360, + "kiddos": 29205, + "kidlit": 39064, + "kidlit": 33515, + "kidlitart": 41600, + "kidman": 44931, + "kidnap": 45100, + "kidnapp": 16183, + "kidnapped": 24737, + "kidnapping": 32361, + "kidney": 37835, + "kidney": 14610, + "kids": 15561, + "kids": 1911, + "kidz": 41938, + "kie": 8544, + "kie": 3094, + "kiefer": 48026, + "kiel": 40940, + "kiel": 25509, + "kien": 28782, + "kier": 20403, + "kier": 35575, + "kieran": 29231, + "kies": 36601, + "kies": 4993, + "kiest": 29755, + "kiev": 24585, + "kiewicz": 47574, + "kigali": 40278, + "kii": 39340, + "kik": 36176, + "kiki": 23962, + "kiko": 40861, + "kil": 4912, + "kil": 39337, + "kildare": 45541, + "kili": 24386, + "kilig": 49172, + "kilimanjaro": 43470, + "kilkenny": 33805, + "kill": 6163, + "kill": 4367, + "killa": 41355, + "killarney": 48813, + "killed": 3733, + "killer": 28230, + "killer": 6613, + "killers": 17614, + "killin": 25903, + "killing": 37977, + "killing": 5923, + "killings": 24918, + "kills": 9795, + "kiln": 44150, + "kilo": 39281, + "kilom": 26285, + "kilometers": 39192, + "kilometres": 43278, + "kilt": 49319, + "kim": 4639, + "kim": 4606, + "kimber": 16796, + "kimberley": 39859, + "kimberly": 27465, + "kimchi": 41027, + "kimi": 31536, + "kimkardashian": 35400, + "kimmel": 27820, + "kimono": 40024, + "kin": 1442, + "kin": 2667, + "kina": 28518, + "kind": 7204, + "kind": 3044, + "kinda": 6612, + "kinder": 12711, + "kinder": 24159, + "kindergarten": 16749, + "kindle": 24704, + "kindle": 10746, + "kindleunlimited": 32164, + "kindly": 13952, + "kindness": 45112, + "kindness": 10614, + "kinds": 14879, + "kine": 17607, + "kineni": 49080, + "kinetic": 37699, + "king": 2365, + "king": 674, + "kingdom": 21870, + "kingdom": 7364, + "kingdomhearts": 48570, + "kingdoms": 43890, + "kingfisher": 34330, + "kingjames": 33153, + "kingly": 33642, + "kingof": 27878, + "kings": 18590, + "kings": 4232, + "kingsley": 41807, + "kingston": 40736, + "kingston": 15393, + "kini": 41644, + "kinky": 37006, + "kinney": 37233, + "kino": 39000, + "kins": 31060, + "kins": 4386, + "kinson": 12095, + "kio": 28210, + "kio": 39401, + "kiosk": 39146, + "kip": 27636, + "kip": 15986, + "kipp": 43329, + "kir": 3476, + "kir": 32949, + "kira": 33038, + "kiran": 43234, + "kiran": 36603, + "kirby": 17065, + "kiri": 34170, + "kiri": 45826, + "kirk": 10639, + "kirk": 11508, + "kirkland": 43061, + "kiro": 39749, + "kirstel": 46483, + "kirsten": 31813, + "kirsty": 37787, + "kis": 3199, + "kis": 22796, + "kish": 25662, + "kiss": 43757, + "kiss": 5946, + "kissed": 22561, + "kisses": 47876, + "kisses": 11220, + "kissing": 18637, + "kistan": 29580, + "kit": 4566, + "kit": 4274, + "kita": 29961, + "kitch": 3850, + "kitchen": 18131, + "kitchen": 4485, + "kitchener": 34428, + "kitchens": 28301, + "kite": 47777, + "kite": 19867, + "kites": 45829, + "kits": 13730, + "kitt": 10840, + "kitten": 13063, + "kittens": 17216, + "kitties": 36013, + "kitty": 25067, + "kitty": 8417, + "kiwan": 38709, + "kiwanis": 46513, + "kiwi": 22440, + "kiwis": 48108, + "kiya": 41610, + "kj": 27385, + "kj": 28238, + "kja": 41048, + "kjv": 37387, + "kk": 4390, + "kk": 10849, + "kka": 19002, + "kke": 44239, + "kker": 32399, + "kki": 44672, + "kkk": 20073, + "kkkk": 15834, + "kkkk": 47160, + "kkkkkkkk": 31042, + "kko": 43965, + "kkr": 40855, + "kl": 8498, + "kl": 14134, + "kla": 11249, + "klan": 46935, + "klar": 41374, + "klaus": 31788, + "kle": 7612, + "kle": 7432, + "klein": 33475, + "klein": 17579, + "kley": 18594, + "kli": 31640, + "klin": 44809, + "klin": 41647, + "kline": 47580, + "kling": 40270, + "klm": 38859, + "klo": 15296, + "klopp": 26446, + "kltu": 25978, + "klu": 21852, + "kly": 45090, + "km": 29954, + "km": 4590, + "kman": 33312, + "kms": 24996, + "kn": 4825, + "kn": 23693, + "knapp": 33945, + "kne": 6358, + "knee": 9897, + "knees": 19115, + "kner": 31578, + "knew": 5009, + "kni": 6312, + "knick": 33286, + "knicks": 17657, + "knife": 44176, + "knife": 8960, + "knigh": 43099, + "knight": 17949, + "knight": 7355, + "knights": 10385, + "knit": 18745, + "knit": 14313, + "knitted": 28151, + "knitting": 18863, + "knives": 20910, + "kno": 1482, + "kno": 25362, + "knob": 29736, + "knobs": 47504, + "knock": 14195, + "knock": 11583, + "knocked": 15325, + "knocking": 20380, + "knockout": 22602, + "knocks": 24296, + "knoll": 43882, + "knot": 18412, + "knots": 32428, + "know": 4179, + "know": 1038, + "knowing": 9267, + "knowledge": 27864, + "knowledge": 5510, + "knowledgeable": 43391, + "knowles": 32631, + "known": 3102, + "knows": 4309, + "knowyour": 30773, + "knox": 18630, + "knox": 21833, + "knoxville": 23232, + "knu": 14812, + "knuck": 21333, + "knuckle": 42023, + "knuckles": 40127, + "knw": 40803, + "ko": 1313, + "ko": 2448, + "koala": 36654, + "kobe": 42644, + "kobe": 14470, + "kobo": 42390, + "koch": 25331, + "kochi": 36710, + "kodak": 30425, + "kodi": 46611, + "kof": 17528, + "koff": 47303, + "kofi": 40400, + "koh": 13379, + "koh": 31216, + "kohl": 48479, + "kohli": 17549, + "koi": 28150, + "kojima": 46419, + "kok": 32045, + "kok": 11225, + "koko": 42426, + "koko": 40003, + "kol": 7142, + "kol": 31023, + "kolkata": 18011, + "kom": 6686, + "kom": 24181, + "kombat": 29670, + "kombucha": 48615, + "komo": 31820, + "kon": 5743, + "kon": 29519, + "kona": 30203, + "kong": 31784, + "kong": 6506, + "konstant": 46583, + "koo": 12225, + "koo": 40472, + "kook": 16003, + "kool": 36755, + "kool": 26444, + "kop": 16623, + "kop": 38999, + "kor": 6428, + "kor": 24175, + "kore": 3919, + "korea": 5915, + "korean": 31949, + "korean": 8034, + "kori": 42842, + "korn": 45412, + "korn": 31492, + "kors": 34535, + "kos": 47438, + "kos": 22951, + "kosh": 45233, + "kosher": 36502, + "koso": 23892, + "kosovo": 28343, + "kot": 23323, + "kot": 20701, + "kota": 21735, + "koto": 40945, + "koto": 29977, + "kou": 18502, + "kou": 39614, + "kour": 34134, + "kov": 17733, + "kov": 15156, + "kova": 26185, + "koval": 47903, + "kovic": 16886, + "kovich": 44794, + "kovsky": 33384, + "kow": 29764, + "kow": 23919, + "kowski": 17649, + "koz": 29598, + "kp": 16174, + "kp": 16894, + "kpa": 38759, + "kph": 41138, + "kpk": 42094, + "kpmg": 38243, + "kpop": 29534, + "kpop": 15859, + "kprc": 47832, + "kprs": 46253, + "kr": 7309, + "kr": 14107, + "kra": 5762, + "kraft": 28057, + "kraja": 29016, + "kraken": 48408, + "krakow": 40033, + "kram": 19075, + "kramer": 27495, + "kran": 33243, + "kranti": 47969, + "krat": 30470, + "kre": 8362, + "kreme": 43140, + "kremlin": 33979, + "kri": 3679, + "kris": 35251, + "kris": 12261, + "krish": 11487, + "krishna": 15863, + "krishnan": 46535, + "krispy": 49292, + "krist": 16490, + "kristen": 28881, + "kristen": 16644, + "kristi": 26895, + "kristin": 35408, + "kristin": 26785, + "kristina": 33180, + "krit": 36265, + "kro": 16193, + "kroger": 36344, + "kron": 25999, + "kru": 10609, + "kruger": 32948, + "krun": 43084, + "kry": 13995, + "krystal": 36554, + "ks": 10470, + "ks": 662, + "ksa": 25439, + "ksh": 36594, + "kst": 17420, + "kstate": 48590, + "ksu": 43496, + "kswx": 36180, + "kt": 17238, + "kt": 7792, + "ktm": 33989, + "ktn": 42170, + "kton": 37848, + "kts": 48577, + "ktv": 36444, + "ku": 1836, + "ku": 4827, + "kuala": 30336, + "kubball": 48995, + "kuber": 41336, + "kubernetes": 45144, + "kubrick": 37032, + "kuch": 39394, + "kud": 40818, + "kudos": 14481, + "kul": 11325, + "kul": 31514, + "kum": 18086, + "kum": 28148, + "kuma": 43139, + "kuma": 33920, + "kumar": 22329, + "kumar": 7674, + "kumb": 31391, + "kun": 6849, + "kun": 21842, + "kung": 39656, + "kung": 22347, + "kunst": 37881, + "kup": 39023, + "kups": 27240, + "kur": 4862, + "kurdi": 23504, + "kurdish": 21644, + "kurdistan": 24459, + "kurds": 20888, + "kuri": 46375, + "kuro": 28239, + "kuro": 47826, + "kurt": 31903, + "kurt": 14527, + "kus": 27618, + "kus": 27505, + "kush": 22264, + "kush": 24594, + "kushner": 36716, + "kut": 17283, + "kut": 36965, + "kuwait": 19679, + "kuya": 34815, + "kuz": 33253, + "kv": 27594, + "kv": 34249, + "kw": 10072, + "kw": 18339, + "kwa": 32784, + "kwa": 48576, + "kwame": 46681, + "kwan": 37100, + "kwan": 39447, + "kwang": 40260, + "kwe": 26050, + "kwi": 35327, + "kwon": 36369, + "kx": 28190, + "kx": 46442, + "ky": 2018, + "ky": 2383, + "kya": 29142, + "kyc": 37758, + "kyiv": 36422, + "kyle": 15847, + "kyle": 7539, + "kylie": 28282, + "kylie": 17983, + "kyliejenner": 47232, + "kylo": 47704, + "kyo": 13150, + "kyo": 6281, + "kyoto": 23223, + "kyr": 26329, + "kyrgy": 40013, + "kyrgyz": 48346, + "kyrie": 21857, + "kyu": 28296, + "kyu": 25490, + "kyuhyun": 37229, + "kyung": 41058, + "kyungsoo": 30280, + "kywx": 39940, + "kz": 48743, + "kz": 36848, + "kzn": 38264, + "kö": 32437, + "l": 75, + "l": 331, + "la": 572, + "la": 1210, + "laa": 44642, + "lab": 3537, + "lab": 4352, + "labe": 25749, + "label": 12235, + "label": 9093, + "labeled": 32720, + "labeling": 36825, + "labelled": 45188, + "labels": 17413, + "lable": 31879, + "labor": 11201, + "labor": 7878, + "laboratories": 43421, + "laboratory": 17664, + "laborday": 39324, + "labou": 32700, + "labour": 19586, + "labour": 6019, + "labourdoorstep": 37008, + "labout": 35961, + "labra": 37067, + "labrador": 25409, + "labs": 12021, + "laby": 29131, + "labyrin": 31782, + "labyrinth": 35594, + "lac": 4477, + "lac": 16189, + "lace": 30012, + "lace": 5421, + "laced": 36800, + "laces": 23281, + "lacey": 31754, + "lach": 30558, + "lack": 24915, + "lack": 8069, + "lacking": 30080, + "lacks": 34388, + "laco": 45882, + "lacrosse": 12915, + "lacy": 38645, + "lad": 15991, + "lad": 10707, + "ladak": 42312, + "ladakh": 45295, + "ladder": 16637, + "ladders": 47125, + "lade": 26447, + "laden": 28634, + "ladi": 12934, + "ladies": 28932, + "ladies": 3431, + "lads": 9803, + "lady": 7275, + "lady": 2909, + "ladybird": 43389, + "ladybug": 40038, + "ladygaga": 21232, + "laf": 47555, + "lafayette": 22683, + "lag": 30932, + "lag": 20394, + "laga": 30161, + "lage": 24369, + "lager": 36811, + "lager": 22989, + "lagh": 37237, + "laghate": 47565, + "laghateparth": 48780, + "lagi": 39786, + "lago": 42698, + "lago": 31476, + "lagoon": 22753, + "lagos": 12728, + "lagun": 18500, + "laguna": 23609, + "lah": 27315, + "lah": 4299, + "lahat": 42164, + "lahore": 16733, + "lai": 23947, + "laid": 42560, + "laid": 11160, + "lain": 46958, + "lain": 17151, + "laine": 35860, + "lair": 31981, + "lais": 34923, + "lak": 12890, + "lak": 26793, + "lake": 6441, + "lake": 2553, + "lakedistrict": 26437, + "lakel": 26133, + "lakeland": 34306, + "laker": 45717, + "lakers": 13570, + "lakes": 9265, + "lakeshore": 42595, + "lakeside": 30915, + "lakewood": 36417, + "lakh": 21487, + "lakhs": 37985, + "lakings": 34289, + "lakota": 45510, + "laksh": 24937, + "lakshmi": 39682, + "lal": 12301, + "lal": 19430, + "lala": 33661, + "lali": 21726, + "laliga": 32383, + "lam": 2022, + "lam": 5704, + "lama": 26049, + "lamar": 28678, + "lamar": 17284, + "lamb": 19863, + "lamb": 10034, + "lambda": 36687, + "lambert": 14574, + "lambeth": 43410, + "lambo": 45464, + "lamborgh": 18709, + "lamborghini": 19462, + "lambs": 30361, + "lame": 23192, + "lamin": 22337, + "laminated": 49079, + "lamo": 41461, + "lamont": 46719, + "lamp": 26700, + "lamp": 10725, + "lampard": 39989, + "lamps": 23424, + "lan": 1193, + "lan": 4872, + "lana": 15406, + "lanapar": 47437, + "lanaparrilla": 47819, + "lanc": 11872, + "lanca": 15694, + "lancashire": 20939, + "lancaster": 16446, + "lance": 26025, + "lance": 11609, + "lancer": 38195, + "lancers": 46392, + "lancia": 48698, + "lancs": 47540, + "land": 1567, + "land": 973, + "lande": 36556, + "landed": 9873, + "lander": 37247, + "lander": 9666, + "landers": 20019, + "landfall": 38465, + "landfill": 34947, + "landia": 41384, + "landing": 8292, + "landings": 46104, + "landlord": 28938, + "landlords": 35283, + "landmark": 15208, + "landmarks": 30393, + "lando": 25463, + "lando": 7065, + "landon": 32748, + "landrover": 38125, + "landry": 36137, + "lands": 40223, + "lands": 2961, + "landsc": 4384, + "landscape": 21123, + "landscape": 5727, + "landscapephotography": 28125, + "landscapes": 15344, + "landscaping": 25642, + "landslide": 31954, + "lane": 25534, + "lane": 3980, + "lanes": 10345, + "laney": 38552, + "lang": 7969, + "lang": 8578, + "lange": 32021, + "langford": 45615, + "langley": 28595, + "langu": 4095, + "language": 46103, + "language": 4781, + "languages": 13527, + "lani": 22964, + "lanka": 16221, + "lankan": 40531, + "lannister": 49056, + "lans": 43550, + "lansing": 30805, + "lant": 44504, + "lanta": 44768, + "lantern": 17185, + "lanterns": 33676, + "lantic": 32601, + "lantic": 27678, + "lants": 38425, + "lanyard": 46808, + "lao": 32475, + "lao": 29521, + "laos": 34353, + "lap": 7213, + "lap": 8639, + "lapd": 32557, + "lapel": 47961, + "lapland": 43633, + "laps": 18711, + "lapse": 33365, + "laptop": 10464, + "laptops": 32189, + "laq": 45026, + "lar": 1592, + "lar": 1652, + "lara": 19435, + "lard": 40347, + "lare": 22415, + "laredo": 48427, + "large": 40234, + "large": 3638, + "largely": 21418, + "larger": 12567, + "largest": 4960, + "largo": 44161, + "lari": 34676, + "lark": 43164, + "lark": 23536, + "larkin": 34769, + "larry": 18642, + "larry": 8242, + "lars": 8669, + "larsen": 39721, + "larson": 27973, + "larvae": 44840, + "las": 8295, + "las": 2552, + "lasag": 31210, + "lasagna": 40683, + "lasalle": 43866, + "laser": 25607, + "laser": 9885, + "lasers": 37060, + "lash": 31995, + "lash": 18480, + "lashes": 21015, + "lass": 24203, + "lass": 18263, + "lassic": 39430, + "last": 10600, + "last": 952, + "lasted": 25711, + "lasting": 13434, + "lastnight": 30159, + "lasts": 20141, + "lasvegas": 17789, + "lat": 1591, + "lat": 28437, + "lata": 47114, + "latam": 40012, + "late": 13267, + "late": 2325, + "latel": 49035, + "lately": 11824, + "latepost": 48328, + "later": 24109, + "later": 2941, + "lateral": 26646, + "latest": 46805, + "latest": 2053, + "latex": 27520, + "lati": 16357, + "latimes": 43356, + "latin": 16695, + "latin": 9888, + "latina": 27936, + "latino": 45734, + "latino": 19470, + "latinos": 40233, + "lation": 6191, + "latitude": 37392, + "lative": 15719, + "lator": 9291, + "lators": 28278, + "latt": 33561, + "latte": 17697, + "latter": 26198, + "latvia": 30034, + "lau": 1853, + "lau": 23090, + "lauderdale": 24352, + "laugh": 4969, + "laugh": 6332, + "laughed": 16746, + "laughing": 8301, + "laughs": 14322, + "laughter": 10722, + "laun": 2944, + "launch": 31168, + "launch": 2904, + "launched": 6125, + "launcher": 35782, + "launches": 7023, + "launching": 8565, + "laundering": 34079, + "laundry": 14797, + "laur": 15256, + "laura": 17091, + "laura": 7763, + "laure": 16932, + "laureate": 25675, + "laurel": 43370, + "laurel": 19942, + "lauren": 10456, + "lauren": 7634, + "laurence": 29353, + "laurent": 23226, + "laurie": 20326, + "laus": 38895, + "laus": 28111, + "lause": 22269, + "laut": 47688, + "lav": 13767, + "lav": 26919, + "lava": 16765, + "laven": 15047, + "lavender": 16033, + "laver": 28188, + "lavish": 35443, + "law": 2874, + "law": 2606, + "lawful": 33845, + "lawler": 47862, + "lawless": 39468, + "lawmaker": 37169, + "lawmakers": 21190, + "lawn": 31675, + "lawn": 11024, + "lawrence": 32221, + "lawrence": 8820, + "laws": 7306, + "lawson": 22152, + "lawsuit": 14346, + "lawsuits": 44331, + "lawyer": 10552, + "lawyers": 14232, + "lax": 17750, + "lax": 10024, + "lay": 7205, + "lay": 6360, + "laye": 25995, + "layer": 12411, + "layered": 28520, + "layers": 15900, + "laying": 12333, + "layla": 45050, + "layne": 48721, + "layo": 21738, + "layoffs": 29019, + "layout": 17314, + "lays": 19546, + "layton": 38061, + "laz": 18806, + "lazar": 33075, + "lazarus": 49126, + "laze": 41559, + "lazer": 43735, + "lazio": 33010, + "lazy": 32614, + "lazy": 10753, + "lb": 21958, + "lb": 7422, + "lbc": 37694, + "lbj": 45683, + "lbloggers": 48695, + "lbs": 8912, + "lc": 9584, + "lc": 7225, + "lcd": 21356, + "lcfc": 25339, + "lcs": 32279, + "ld": 1431, + "ld": 730, + "lder": 6945, + "lders": 43221, + "ldn": 37050, + "ldn": 2517, + "ldnont": 25827, + "ldnt": 21690, + "ldr": 37279, + "lds": 31235, + "le": 534, + "le": 579, + "lea": 2246, + "lea": 13324, + "leach": 35527, + "lead": 1328, + "lead": 2784, + "leader": 14806, + "leader": 3236, + "leaderboard": 34519, + "leaders": 3546, + "leadership": 36876, + "leadership": 3652, + "leading": 3833, + "leads": 5335, + "leaf": 9377, + "leaf": 7232, + "leaflet": 38289, + "leaflets": 39014, + "leafs": 16688, + "leafy": 42616, + "leagu": 13317, + "league": 16635, + "league": 2313, + "leagueof": 26022, + "leagueoflegends": 31737, + "leagues": 19888, + "leah": 24350, + "leah": 19308, + "leak": 42900, + "leak": 15489, + "leaked": 14353, + "leaking": 34097, + "leaks": 15657, + "leam": 39606, + "lean": 12447, + "lean": 8208, + "leaning": 24411, + "leanne": 41448, + "leans": 9357, + "leap": 29129, + "leap": 15392, + "leaps": 48080, + "lear": 1146, + "lear": 27663, + "learn": 16959, + "learn": 1768, + "learned": 6048, + "learnenglish": 49040, + "learner": 33547, + "learners": 19572, + "learning": 22632, + "learning": 2378, + "learns": 17569, + "learnt": 18959, + "leary": 36051, + "lease": 49041, + "lease": 14394, + "leased": 48352, + "leash": 36192, + "leasing": 29160, + "least": 3651, + "leather": 21417, + "leather": 5862, + "leau": 26498, + "leav": 3198, + "leave": 37512, + "leave": 3258, + "leaves": 5579, + "leaving": 5216, + "leban": 9360, + "lebanese": 23819, + "lebanon": 11695, + "leblanc": 46381, + "lebo": 44184, + "lebron": 11971, + "lebu": 47030, + "lec": 944, + "lec": 35374, + "leche": 46197, + "lect": 45392, + "lection": 18252, + "lections": 30995, + "lecture": 6617, + "lecturer": 23795, + "lectures": 21118, + "led": 8767, + "led": 912, + "ledge": 23647, + "ledge": 4815, + "ledger": 26817, + "leds": 36763, + "lee": 6224, + "lee": 2592, + "leed": 16483, + "leed": 40206, + "leeds": 38900, + "leeds": 7420, + "leek": 34585, + "leeminho": 37831, + "leen": 35311, + "leen": 15940, + "leep": 48875, + "leep": 10191, + "lees": 29324, + "lees": 34056, + "lef": 9152, + "left": 33949, + "left": 1823, + "leftist": 35143, + "lefto": 17437, + "leftover": 26414, + "leftovers": 28481, + "lefty": 33935, + "leg": 1211, + "leg": 4924, + "lega": 38674, + "legacy": 44108, + "legacy": 6447, + "legal": 17743, + "legal": 3998, + "legalization": 40584, + "legalize": 42921, + "legally": 14152, + "legate": 46009, + "lege": 8065, + "legen": 6105, + "legend": 5480, + "legend": 3539, + "legendary": 6053, + "legendof": 47915, + "legends": 6396, + "leges": 15356, + "legg": 18474, + "legg": 32511, + "legged": 25830, + "leggings": 22895, + "leggo": 43441, + "legi": 11183, + "legion": 35503, + "legion": 14525, + "legis": 7200, + "legislat": 16486, + "legislation": 14143, + "legislative": 16755, + "legislators": 31572, + "legislature": 22309, + "legit": 12563, + "legitim": 17656, + "legitimate": 24491, + "lego": 28117, + "lego": 7849, + "legos": 45359, + "legs": 7072, + "leh": 19105, + "leh": 29298, + "lehead": 28090, + "lehigh": 34527, + "lehman": 46094, + "lei": 15828, + "lei": 21830, + "leia": 32723, + "leic": 35073, + "leica": 30206, + "leice": 10026, + "leicester": 28795, + "leicester": 11510, + "leicestershire": 45358, + "leigh": 14849, + "leigh": 9292, + "leighton": 30782, + "leila": 41342, + "lein": 20026, + "lein": 28551, + "leinster": 32242, + "leip": 36401, + "leipzig": 41860, + "leis": 13133, + "leisure": 15849, + "leit": 35446, + "leith": 34141, + "lek": 26626, + "lek": 36535, + "lel": 46623, + "lele": 26075, + "lem": 10213, + "lem": 8428, + "leman": 24478, + "lemans": 26694, + "lement": 9693, + "lements": 15833, + "lemme": 23318, + "lemon": 12272, + "lemon": 7184, + "lemonade": 18884, + "lemons": 29576, + "lemore": 41147, + "len": 3687, + "len": 2159, + "lena": 22038, + "lend": 45397, + "lend": 24987, + "lender": 44734, + "lenders": 42443, + "lending": 20209, + "lene": 17628, + "leness": 36551, + "leng": 7861, + "length": 10130, + "lengths": 31858, + "lengthy": 32624, + "lenin": 41760, + "lennon": 18360, + "lennox": 45748, + "lenny": 48448, + "lenny": 30124, + "leno": 45357, + "lenovo": 25886, + "lens": 8666, + "lenses": 21264, + "lent": 20943, + "lent": 22605, + "lentil": 41511, + "lentils": 44269, + "leo": 24008, + "leo": 8312, + "leon": 6581, + "leon": 9763, + "leonard": 43849, + "leonard": 13142, + "leonardo": 20282, + "leone": 22864, + "leop": 11234, + "leopard": 15931, + "leopards": 40996, + "leopold": 45501, + "lep": 48884, + "leppard": 41656, + "lepre": 45641, + "ler": 5587, + "ler": 1803, + "lero": 15067, + "lerosis": 35455, + "leroy": 32441, + "lers": 6247, + "lery": 38184, + "les": 4339, + "les": 840, + "lesbian": 17419, + "lesbians": 43182, + "lesh": 32282, + "lesley": 25506, + "lesli": 13649, + "leslie": 16244, + "lesn": 39568, + "lesnar": 42223, + "less": 3242, + "less": 1285, + "lesser": 20369, + "lessly": 13103, + "lessness": 24847, + "lesson": 7714, + "lessons": 7199, + "lest": 24372, + "lest": 6794, + "lester": 23157, + "lester": 24023, + "lestwe": 29726, + "lestweforget": 30273, + "let": 1898, + "let": 1094, + "leta": 34319, + "lete": 34078, + "letes": 6815, + "leth": 30022, + "leth": 42462, + "lethal": 21905, + "lethbridge": 48390, + "leti": 34176, + "letics": 14504, + "letit": 46423, + "leto": 32203, + "leton": 37674, + "leton": 7462, + "lets": 10448, + "lets": 3243, + "letsgo": 16967, + "letsgo": 29789, + "letstalk": 35591, + "lett": 22428, + "lett": 9778, + "lette": 41798, + "lette": 10301, + "letter": 15567, + "letter": 4861, + "lettering": 26382, + "letterman": 38447, + "letters": 9181, + "letting": 9510, + "letto": 35449, + "lettu": 17933, + "lettuce": 18573, + "leu": 15691, + "leuke": 31031, + "leukemia": 32097, + "leum": 21571, + "leur": 45806, + "lev": 17022, + "lev": 29950, + "levan": 42543, + "leve": 36271, + "level": 21682, + "level": 2931, + "leveled": 48453, + "levels": 6295, + "leven": 44792, + "leven": 34729, + "lever": 20178, + "lever": 23094, + "leverage": 24030, + "leveraging": 37948, + "levi": 25630, + "levi": 19113, + "leviathan": 41736, + "levin": 36949, + "levine": 26594, + "levit": 22715, + "levy": 17147, + "lew": 5063, + "lew": 25329, + "lewan": 48349, + "lewd": 45241, + "lewes": 40431, + "lewi": 19589, + "lewis": 22043, + "lewis": 6020, + "lewisham": 37385, + "lewisham": 47633, + "lewishamilton": 42960, + "lewood": 37951, + "lex": 6586, + "lex": 9658, + "lexa": 48259, + "lexi": 44231, + "lexi": 24679, + "lexington": 22308, + "lexus": 20694, + "ley": 2565, + "ley": 1066, + "leye": 37061, + "leys": 45609, + "leys": 14834, + "leyton": 46573, + "lez": 26442, + "lf": 33960, + "lf": 22078, + "lfc": 37826, + "lfc": 8267, + "lfw": 28514, + "lg": 4546, + "lg": 11368, + "lga": 39348, + "lgb": 25401, + "lgbt": 11743, + "lgbt": 9592, + "lgbti": 42730, + "lgbtq": 47625, + "lgbtq": 14939, + "lgm": 39389, + "lh": 27794, + "lh": 31159, + "lhp": 45092, + "lhs": 33170, + "li": 554, + "li": 4250, + "lia": 26118, + "lia": 6964, + "liability": 29139, + "liaison": 39294, + "liam": 5258, + "liam": 7167, + "lian": 18058, + "liance": 40864, + "liar": 16334, + "liars": 23863, + "lias": 46021, + "lib": 10249, + "lib": 13345, + "libby": 36832, + "libdems": 40869, + "liber": 3425, + "liberal": 48032, + "liberal": 9985, + "liberalism": 40018, + "liberals": 15981, + "liberated": 38690, + "liberation": 19507, + "liberia": 32208, + "libertarian": 35067, + "liberties": 48623, + "liberty": 23397, + "liberty": 8480, + "libr": 2856, + "libra": 43038, + "librarian": 25148, + "librarians": 37806, + "libraries": 14277, + "library": 25713, + "library": 3519, + "libre": 49210, + "libre": 31681, + "libs": 26401, + "liby": 36390, + "libya": 16417, + "libyan": 42319, + "lic": 2508, + "lic": 3376, + "lice": 45691, + "licen": 6706, + "licence": 20550, + "license": 10337, + "licensed": 18752, + "licenses": 36414, + "licensing": 24219, + "lich": 23979, + "lich": 25875, + "lick": 29197, + "lick": 17541, + "licking": 33013, + "licks": 42117, + "lics": 44552, + "lid": 39369, + "lid": 17678, + "lidge": 45558, + "lido": 35683, + "lids": 41609, + "lie": 6570, + "lie": 2538, + "lieb": 45387, + "liebe": 37749, + "lied": 6486, + "lief": 38428, + "lien": 45716, + "lier": 3626, + "liers": 19303, + "lies": 37236, + "lies": 3205, + "liest": 14020, + "liet": 41107, + "lieu": 20401, + "lieu": 35313, + "lieutenant": 22538, + "lif": 16456, + "life": 2666, + "life": 970, + "lifeat": 27801, + "lifeboat": 37404, + "lifecycle": 49171, + "lifein": 48447, + "lifeis": 24824, + "lifeisgood": 46433, + "lifel": 15025, + "lifeline": 38438, + "lifelong": 21358, + "lifeof": 36061, + "lifesaving": 48016, + "lifespan": 49257, + "lifestyle": 46512, + "lifestyle": 7037, + "lifestyles": 48521, + "lifetime": 48737, + "lifetime": 9107, + "liff": 34404, + "liffe": 38942, + "lift": 33146, + "lift": 6779, + "lifted": 16783, + "lifter": 38555, + "lifting": 10857, + "lifts": 18291, + "lig": 19915, + "lig": 38493, + "liga": 16802, + "ligam": 31077, + "ligament": 48705, + "ligan": 27962, + "ligans": 42133, + "ligh": 7510, + "light": 3885, + "light": 1395, + "lighted": 18404, + "lighten": 32717, + "lightening": 28170, + "lighter": 14102, + "lighthouse": 13717, + "lighting": 5799, + "lightly": 26878, + "lightning": 7756, + "lightroom": 41454, + "lights": 3073, + "lightweight": 16278, + "ligu": 42920, + "ligue": 29196, + "lik": 4831, + "lik": 18495, + "like": 9175, + "like": 789, + "liked": 7112, + "likefor": 48444, + "likeli": 40666, + "likelihood": 48158, + "likely": 5256, + "liken": 36084, + "likes": 4724, + "liking": 16810, + "lil": 6012, + "lil": 4461, + "lilac": 33647, + "lili": 26686, + "lili": 48411, + "lilies": 38110, + "lillard": 47016, + "lille": 38705, + "lilli": 40920, + "lillian": 41563, + "lilly": 47825, + "lilly": 21815, + "lily": 23803, + "lily": 10647, + "lim": 2377, + "lim": 17204, + "lima": 17589, + "limb": 27061, + "limb": 32363, + "limbo": 46179, + "limbs": 34886, + "lime": 17385, + "lime": 11193, + "limel": 48658, + "limer": 16915, + "limerick": 19501, + "limestone": 27272, + "limit": 18933, + "limit": 9973, + "limitations": 32730, + "limited": 49229, + "limited": 3472, + "limiting": 35812, + "limitless": 35833, + "limits": 11966, + "limo": 33166, + "limous": 47287, + "limpopo": 47175, + "lin": 1254, + "lin": 2424, + "lina": 26110, + "lincol": 6239, + "lincoln": 16957, + "lincoln": 7454, + "lincolnshire": 29014, + "lind": 6492, + "linda": 45410, + "linda": 10760, + "linden": 44076, + "linden": 34832, + "lindo": 38467, + "lindsay": 29846, + "lindsay": 16858, + "lindsey": 29475, + "lindsey": 18128, + "line": 3674, + "line": 1148, + "linear": 19816, + "linebacker": 29848, + "lined": 11842, + "lineman": 31501, + "linen": 20032, + "liner": 11618, + "liners": 24463, + "lines": 3418, + "liness": 28633, + "lineup": 7316, + "lineups": 33589, + "ling": 4851, + "ling": 1358, + "linger": 29593, + "lingerie": 18473, + "lingering": 46494, + "lings": 11390, + "lington": 27673, + "lington": 9002, + "lingu": 34449, + "lingui": 29942, + "linguistic": 46847, + "linguistics": 48651, + "lining": 11589, + "link": 18433, + "link": 2468, + "linke": 15088, + "linked": 11059, + "linkedin": 16302, + "linkin": 40287, + "linkin": 49291, + "linking": 23296, + "links": 8113, + "linn": 37431, + "lino": 41189, + "lino": 34995, + "lins": 6567, + "linson": 15401, + "linton": 36479, + "linus": 49303, + "linux": 14061, + "lio": 19395, + "lion": 8872, + "lion": 5567, + "lionel": 19441, + "lions": 7093, + "lip": 8630, + "lip": 8546, + "lipo": 38795, + "lipp": 38074, + "lips": 8847, + "lipse": 10351, + "lipstick": 15618, + "liqu": 6310, + "lique": 32680, + "liqueur": 43612, + "liqui": 33817, + "liquid": 18366, + "liquid": 10158, + "liquidity": 42812, + "liquor": 17828, + "lis": 7297, + "lis": 12749, + "lisa": 25236, + "lisa": 7424, + "lisam": 43072, + "lisboa": 40052, + "lisbon": 17708, + "lish": 12658, + "lish": 2354, + "lished": 22620, + "lisle": 21529, + "lism": 34390, + "liss": 45489, + "liss": 35433, + "lisse": 49309, + "list": 1734, + "list": 1998, + "lista": 37812, + "listed": 6457, + "listen": 17454, + "listen": 2672, + "listened": 15347, + "listener": 34819, + "listeners": 26901, + "listening": 3656, + "listens": 25912, + "lister": 45109, + "listing": 8145, + "listings": 21987, + "liston": 48041, + "lists": 12281, + "lit": 2213, + "lit": 4350, + "lita": 30100, + "lite": 29273, + "lite": 13694, + "litecoin": 39063, + "liter": 3085, + "liter": 34904, + "literacy": 12841, + "literal": 24269, + "literally": 4719, + "literary": 13586, + "literature": 11072, + "litfest": 40369, + "lith": 37005, + "lithium": 22794, + "litho": 31088, + "lithograph": 49022, + "lithu": 21045, + "lithuania": 27068, + "liti": 24292, + "litigation": 31769, + "lito": 47381, + "litre": 25786, + "litres": 39919, + "litt": 1216, + "litt": 47583, + "litter": 45431, + "litter": 17118, + "litters": 45300, + "little": 7024, + "little": 1274, + "littlemix": 29731, + "littlest": 48969, + "litur": 36830, + "litz": 30357, + "liu": 20466, + "liv": 13895, + "liv": 19901, + "livan": 12785, + "live": 3215, + "live": 1064, + "lived": 8867, + "livel": 17973, + "liveli": 26566, + "livelihood": 46497, + "livelihoods": 47716, + "lively": 19663, + "liveme": 35396, + "livemusic": 15688, + "liven": 41057, + "liveon": 22815, + "livepd": 38742, + "livepd": 31899, + "liver": 4755, + "liver": 12639, + "liverpool": 29778, + "liverpool": 5366, + "livery": 23248, + "lives": 3247, + "livesmatter": 20348, + "livestock": 22079, + "livestream": 16844, + "livetweet": 38546, + "livin": 28061, + "living": 10965, + "living": 2815, + "livingston": 30551, + "lix": 45068, + "liz": 8632, + "liz": 12242, + "liza": 28787, + "lizard": 17221, + "lizards": 41991, + "lizasober": 44487, + "lizasoberano": 45076, + "lizz": 34430, + "lizzie": 29530, + "lizzy": 32306, + "lj": 34211, + "lj": 32273, + "lju": 44562, + "lk": 39110, + "lk": 26596, + "lka": 21881, + "ll": 1657, + "ll": 865, + "lla": 15419, + "llama": 36679, + "llan": 17281, + "llan": 38728, + "lland": 31150, + "llc": 17161, + "lle": 26550, + "lle": 29732, + "llen": 41197, + "ller": 7722, + "llers": 26426, + "lli": 47015, + "lli": 13368, + "llis": 25518, + "lll": 27177, + "llll": 34874, + "llll": 43485, + "llo": 19293, + "lloy": 10092, + "lloyd": 33339, + "lloyd": 12400, + "llp": 28042, + "lls": 40535, + "lly": 26379, + "lm": 6981, + "lm": 15282, + "lma": 4493, + "lmao": 5121, + "lmaoo": 32623, + "lmaooo": 33362, + "lmaoooo": 45232, + "lmfa": 8928, + "lmfao": 11068, + "lmfaooo": 47658, + "lmp": 43575, + "lms": 30381, + "ln": 31644, + "ln": 18654, + "lng": 22339, + "lnp": 39679, + "lo": 549, + "lo": 2982, + "loa": 39678, + "load": 4515, + "load": 2834, + "loaded": 6756, + "loader": 28492, + "loading": 9975, + "loads": 8691, + "loaf": 26467, + "loaf": 18273, + "loan": 28431, + "loan": 8176, + "loans": 14206, + "lob": 11197, + "lob": 46606, + "lobal": 34574, + "lobb": 27698, + "lobby": 12449, + "lobbying": 36047, + "lobe": 46325, + "lobes": 24148, + "lobo": 39323, + "lobos": 36586, + "lobster": 13793, + "loc": 1378, + "loc": 25826, + "local": 9202, + "local": 2029, + "localized": 49399, + "locally": 15603, + "locals": 15041, + "locate": 20490, + "located": 5677, + "location": 4372, + "locations": 9580, + "loch": 20188, + "loch": 14101, + "lock": 7201, + "lock": 4381, + "lockdown": 35636, + "locke": 29698, + "locked": 8371, + "locker": 14053, + "lockhart": 48642, + "lockheed": 36637, + "locking": 19978, + "locks": 13212, + "lockscreen": 42439, + "loco": 25555, + "locom": 22798, + "locomo": 46147, + "locomotive": 30439, + "locu": 33635, + "locust": 46237, + "lod": 45650, + "lodge": 10504, + "loe": 30113, + "loe": 25484, + "loeb": 49334, + "lof": 15011, + "loff": 31008, + "loft": 35707, + "loft": 20049, + "loftus": 46689, + "log": 3239, + "log": 7383, + "logan": 20655, + "logan": 10569, + "logans": 40752, + "logg": 43002, + "logged": 31457, + "logger": 39089, + "logging": 24444, + "logi": 3177, + "logia": 48031, + "logic": 10670, + "logical": 4791, + "logically": 24782, + "logie": 33445, + "logies": 7378, + "login": 31121, + "logist": 7407, + "logistics": 14755, + "logists": 12233, + "logne": 19911, + "logo": 31480, + "logo": 5750, + "logos": 24879, + "logs": 22745, + "logue": 27785, + "logy": 22721, + "logy": 1659, + "loh": 49129, + "loh": 37983, + "loi": 35128, + "loid": 31408, + "loin": 21760, + "loire": 46040, + "lois": 27040, + "lok": 19908, + "lok": 23575, + "loki": 24435, + "lol": 10721, + "lol": 1824, + "lola": 19065, + "lolita": 42615, + "lolla": 45483, + "lolli": 27906, + "lollipop": 34605, + "lolly": 48264, + "lolo": 16895, + "lolo": 37481, + "lolol": 25280, + "lololol": 34738, + "lolz": 35260, + "lom": 9279, + "loma": 42889, + "lombar": 25493, + "lombard": 46461, + "lombardi": 44346, + "lomond": 48941, + "lon": 1235, + "lon": 6507, + "london": 6835, + "london": 1789, + "londonmarathon": 35018, + "lone": 22220, + "lone": 13576, + "lonel": 28872, + "loneliness": 30310, + "lonely": 34509, + "lonely": 12368, + "lonelyplanet": 44984, + "long": 4792, + "long": 1538, + "longe": 25793, + "longer": 5349, + "longest": 10731, + "longevity": 35354, + "longh": 20286, + "longhorn": 41047, + "longhorns": 38295, + "longing": 38482, + "longlive": 47840, + "longs": 43618, + "longtime": 19685, + "loo": 731, + "loo": 11804, + "look": 8874, + "look": 1012, + "lookalike": 38307, + "lookbook": 39184, + "looked": 4913, + "lookin": 11254, + "looking": 36898, + "looking": 1312, + "lookout": 18330, + "looks": 1606, + "lool": 33125, + "loom": 37440, + "loom": 17199, + "looming": 35384, + "looms": 30550, + "loon": 28222, + "loona": 48137, + "looney": 45315, + "looo": 20902, + "loool": 36016, + "looool": 47038, + "looooo": 31484, + "loop": 19606, + "loop": 10408, + "loops": 21625, + "loos": 45723, + "loose": 43815, + "loose": 9786, + "loot": 21518, + "lop": 36734, + "lop": 17066, + "lopes": 49269, + "lopez": 12982, + "lor": 2179, + "lor": 11335, + "lord": 18896, + "lord": 3486, + "lorde": 35483, + "lords": 14969, + "lore": 12880, + "lore": 27218, + "loren": 13602, + "loren": 33398, + "lorenzo": 21342, + "lores": 34510, + "loretta": 40863, + "lori": 20164, + "lori": 23095, + "lorna": 46316, + "lorraine": 27602, + "lorry": 31354, + "los": 32217, + "los": 3087, + "losange": 14037, + "losangeles": 14638, + "lose": 43318, + "lose": 5354, + "loser": 18168, + "losers": 23201, + "loses": 14263, + "losing": 7918, + "loss": 34761, + "loss": 4327, + "losses": 16909, + "lost": 14258, + "lost": 2624, + "lostdog": 48482, + "lot": 5132, + "lot": 1954, + "loth": 43625, + "lothian": 31360, + "lothing": 42058, + "lotion": 25260, + "lotr": 34165, + "lots": 2958, + "lott": 42854, + "lotta": 29125, + "lotte": 16535, + "lotte": 7274, + "lottery": 16975, + "lottie": 48517, + "lotto": 28265, + "lotus": 13824, + "lou": 2207, + "lou": 9745, + "loubout": 38369, + "loud": 22884, + "loud": 7464, + "louder": 25904, + "loudest": 49214, + "loudly": 39256, + "lough": 21927, + "lough": 28045, + "loughborough": 49153, + "loui": 42173, + "louie": 25790, + "louis": 8916, + "louis": 4459, + "louisa": 40011, + "louise": 32275, + "louise": 13076, + "louisi": 12187, + "louisiana": 12946, + "louisville": 13860, + "louisvuitton": 44911, + "loun": 6466, + "lounge": 7141, + "lounging": 45430, + "lour": 29383, + "lourdes": 45071, + "louvre": 36995, + "lov": 8923, + "lov": 21229, + "lova": 37394, + "lovable": 38565, + "lovato": 18960, + "love": 2618, + "love": 793, + "lovecraft": 42405, + "loved": 3249, + "lovefl": 38884, + "loveher": 38306, + "lovehim": 45733, + "loveis": 30931, + "loveisland": 30970, + "loveislove": 43603, + "loveit": 24764, + "lovel": 8999, + "lovelies": 31412, + "lovelondon": 46493, + "lovely": 33250, + "lovely": 2165, + "lovemy": 20041, + "lovemyjob": 40130, + "loven": 33754, + "lover": 28508, + "lover": 7168, + "lovers": 48416, + "lovers": 5973, + "loves": 37773, + "loves": 3925, + "lovethe": 33040, + "lovethem": 48298, + "lovett": 47095, + "lovewins": 47687, + "loveyou": 39226, + "loveyou": 25964, + "loveyour": 26462, + "lovin": 33442, + "lovin": 16354, + "loving": 29568, + "loving": 3721, + "lovingly": 44100, + "low": 1049, + "low": 1042, + "loway": 16104, + "lowe": 17910, + "lowed": 22733, + "lowell": 24458, + "lower": 32578, + "lower": 4909, + "lowered": 34968, + "lowering": 35261, + "lowers": 36398, + "lowes": 38515, + "lowest": 12098, + "lowing": 8283, + "lowkey": 29481, + "lowry": 27444, + "lows": 4406, + "lox": 41725, + "loy": 4519, + "loy": 23929, + "loyal": 13032, + "loyalty": 14686, + "loyd": 44212, + "loyed": 29279, + "loyment": 18307, + "loyola": 32569, + "lp": 22282, + "lp": 6392, + "lpc": 44092, + "lpg": 47905, + "lpga": 34295, + "lps": 32094, + "lr": 20572, + "lr": 7041, + "lrt": 32996, + "ls": 19051, + "ls": 1268, + "lsd": 43766, + "lse": 46127, + "lse": 43886, + "lsu": 35428, + "lsu": 15672, + "lt": 13642, + "lt": 3333, + "ltc": 27664, + "ltd": 6802, + "lte": 25202, + "lton": 14237, + "lu": 664, + "lu": 9657, + "lub": 22469, + "lub": 11836, + "lubbock": 37660, + "lubric": 40963, + "luc": 7013, + "luc": 28014, + "luca": 21053, + "lucas": 23425, + "lucas": 10225, + "lucci": 45849, + "luce": 46217, + "lucent": 41552, + "lucer": 36042, + "luch": 36646, + "lucha": 38449, + "luci": 8787, + "lucia": 22290, + "luciano": 46365, + "lucid": 44540, + "lucie": 39461, + "lucifer": 46224, + "lucifer": 27687, + "lucille": 47454, + "lucin": 27523, + "luck": 9647, + "luck": 2820, + "luckiest": 42469, + "luckily": 20100, + "lucknow": 29407, + "lucky": 20495, + "lucky": 4133, + "lucrative": 41485, + "lucy": 17262, + "lucy": 10120, + "lud": 14288, + "lude": 28755, + "ludo": 40141, + "ludwig": 30633, + "lue": 45199, + "luf": 25264, + "lufc": 17818, + "luffy": 39047, + "lufthan": 37769, + "lufthansa": 39145, + "lug": 45521, + "lugg": 19673, + "luggage": 20138, + "luhan": 20975, + "luigi": 28444, + "luis": 25231, + "luis": 11339, + "luiz": 39633, + "lujah": 31639, + "luk": 21652, + "luka": 34878, + "lukaku": 37177, + "lukas": 37941, + "luke": 11970, + "luke": 5652, + "lul": 20861, + "lulla": 37019, + "lullaby": 41676, + "lulu": 32052, + "lulu": 26935, + "lum": 18112, + "lum": 5997, + "lumb": 36231, + "lumber": 27421, + "lumber": 34692, + "lumi": 41437, + "lumia": 31912, + "lumin": 15867, + "luminous": 37913, + "lump": 38704, + "lumpur": 34411, + "lun": 3221, + "lun": 49390, + "luna": 14425, + "lunar": 16043, + "lunatic": 45874, + "lunch": 10954, + "lunch": 2772, + "luncheon": 15104, + "lunches": 29705, + "lunchtime": 14330, + "lund": 30975, + "lund": 20181, + "lunes": 35648, + "lung": 38479, + "lung": 16271, + "lungs": 27366, + "lup": 27413, + "lupita": 49352, + "lupus": 36017, + "lur": 14439, + "lure": 31376, + "lures": 46747, + "lurking": 29941, + "lus": 7158, + "lusci": 38004, + "luscious": 39935, + "lush": 40382, + "lush": 16263, + "lust": 42071, + "lust": 12662, + "lustre": 46673, + "luther": 21848, + "luther": 17208, + "lutheran": 27341, + "luton": 28288, + "luv": 24726, + "luv": 8502, + "lux": 3439, + "lux": 16704, + "luxe": 26373, + "luxemb": 21314, + "luxembour": 22712, + "luxembourg": 23949, + "luxu": 16112, + "luxurious": 17292, + "luxury": 12083, + "luxury": 5247, + "luxurytravel": 29010, + "luz": 41008, + "lv": 10862, + "lv": 11184, + "lvl": 31256, + "lw": 40515, + "lw": 35115, + "lx": 30789, + "ly": 1251, + "ly": 597, + "lydia": 24316, + "lyf": 43688, + "lyfe": 30787, + "lyft": 32944, + "lying": 7175, + "lyk": 46376, + "lyle": 36828, + "lym": 20087, + "lyme": 31167, + "lymph": 30073, + "lymphoma": 37648, + "lyn": 3957, + "lyn": 5054, + "lynch": 31586, + "lynch": 13560, + "lynd": 33416, + "lynda": 42959, + "lyndon": 48518, + "lynn": 25303, + "lynn": 10667, + "lynne": 26900, + "lynx": 28941, + "lyon": 17176, + "lyons": 29453, + "lyric": 24366, + "lyric": 21291, + "lyrical": 33358, + "lyricist": 49013, + "lyrics": 9551, + "lyrix": 46814, + "lys": 45054, + "lyte": 40059, + "lywood": 4012, + "lz": 30818, + "lé": 39641, + "m": 76, + "m": 332, + "ma": 577, + "ma": 1226, + "maa": 42774, + "maa": 21555, + "maan": 33668, + "maar": 48927, + "maas": 43332, + "mab": 35639, + "mabel": 47319, + "mable": 23001, + "mably": 40082, + "mabu": 44682, + "mac": 1961, + "mac": 4945, + "macar": 21558, + "macaroni": 41824, + "macarthur": 36785, + "macau": 43984, + "macau": 33370, + "macbeth": 36321, + "macbook": 20617, + "macdonald": 20315, + "mace": 44869, + "maced": 21102, + "macedonia": 27071, + "macfar": 45374, + "macfarlane": 48825, + "mach": 2637, + "mach": 35091, + "machado": 42318, + "mache": 43220, + "macher": 29330, + "machi": 41783, + "machin": 17972, + "machine": 11539, + "machine": 4169, + "machinelearning": 13621, + "machinery": 21858, + "machines": 11108, + "machining": 45562, + "macho": 43977, + "macht": 45225, + "macin": 36533, + "mack": 8590, + "mack": 12145, + "mackay": 32497, + "macken": 48057, + "mackenzie": 22351, + "mackerel": 35002, + "mackin": 26010, + "macklemore": 41758, + "macle": 33843, + "maclean": 47137, + "macleod": 43684, + "macmillan": 36364, + "macmillan": 35191, + "macon": 35818, + "macos": 45469, + "macqu": 38365, + "macquarie": 40858, + "macro": 20891, + "macro": 16626, + "macron": 24859, + "macs": 46548, + "macy": 17113, + "macys": 47652, + "mad": 2740, + "mad": 3843, + "mada": 37799, + "madagas": 24758, + "madagascar": 25744, + "madam": 33634, + "madam": 27538, + "madame": 23507, + "madd": 31717, + "madden": 19093, + "maddie": 39959, + "maddie": 18875, + "maddow": 32644, + "maddy": 31734, + "made": 5388, + "made": 1105, + "madein": 13670, + "madeira": 33810, + "madel": 34532, + "madele": 29831, + "madeleine": 33264, + "madeline": 33905, + "madewith": 28627, + "madewithunity": 43190, + "madhu": 23000, + "madhuri": 38346, + "madhuridixit": 43889, + "madhya": 48302, + "madi": 6527, + "madi": 27282, + "madison": 24798, + "madison": 8791, + "madmen": 45452, + "madness": 8755, + "madon": 44852, + "madonna": 14137, + "madra": 27416, + "madras": 42046, + "madre": 42130, + "madri": 5529, + "madrid": 5909, + "mads": 41201, + "madu": 34913, + "madurai": 49159, + "maduro": 32912, + "mae": 16898, + "mae": 17339, + "maer": 47088, + "maestro": 24140, + "mafi": 47164, + "mafia": 14890, + "mag": 1191, + "mag": 4508, + "maga": 8694, + "magaz": 2974, + "magazine": 3113, + "magazines": 22253, + "magdal": 29673, + "mage": 46568, + "mage": 10923, + "magee": 43872, + "magenta": 38091, + "magento": 42442, + "mages": 31059, + "maggi": 29611, + "maggie": 41443, + "maggie": 14524, + "maggio": 49087, + "magh": 45555, + "magi": 19270, + "magic": 13061, + "magic": 3778, + "magical": 36408, + "magical": 7823, + "magician": 26368, + "magin": 42678, + "maging": 41310, + "magn": 10290, + "magna": 34076, + "magne": 9921, + "magnesium": 36379, + "magnet": 18240, + "magnetic": 13838, + "magnets": 33030, + "magni": 24297, + "magnific": 9725, + "magnificent": 10724, + "magnitude": 22955, + "magno": 21184, + "magnolia": 27123, + "magnu": 45198, + "magnum": 23496, + "magnus": 26275, + "magpie": 45973, + "mags": 31021, + "maguire": 26470, + "mah": 7206, + "mah": 10801, + "maha": 12237, + "maha": 33983, + "mahal": 22301, + "mahan": 45191, + "mahar": 11635, + "maharaj": 38488, + "maharashtra": 19328, + "mahat": 32434, + "mahatma": 40530, + "mahe": 15756, + "maher": 29826, + "mahesh": 33448, + "mahesh": 22095, + "mahi": 32529, + "mahi": 38659, + "mahin": 24113, + "mahindra": 31285, + "mahmoud": 41361, + "mahog": 30804, + "mahogany": 33084, + "mahon": 45864, + "mahon": 20371, + "mahone": 26634, + "mai": 7138, + "mai": 14595, + "maia": 46585, + "maid": 23148, + "maid": 10226, + "maidan": 37346, + "maiden": 37011, + "maiden": 13809, + "maids": 27305, + "maidstone": 44395, + "mail": 10478, + "mail": 2614, + "mailbox": 31482, + "mailed": 42314, + "mailing": 26680, + "mailonline": 26021, + "mails": 45213, + "main": 3904, + "main": 2623, + "maine": 18639, + "maine": 7836, + "mained": 15609, + "mainedcm": 15845, + "mainland": 27629, + "mainly": 15280, + "mains": 33656, + "mainst": 42102, + "mainstream": 18034, + "maintain": 12954, + "maintained": 26665, + "maintaining": 21964, + "maintains": 38335, + "mainten": 9399, + "maintenance": 9610, + "mais": 28153, + "maisie": 47355, + "maison": 37065, + "maison": 27626, + "mait": 26387, + "maize": 35386, + "maj": 2948, + "maj": 28723, + "maja": 47498, + "maje": 9852, + "majestic": 15335, + "majesty": 21188, + "major": 8008, + "major": 3350, + "majority": 10508, + "majors": 23597, + "mak": 11271, + "mak": 19253, + "makar": 42242, + "makati": 39402, + "make": 3232, + "make": 1078, + "makeaw": 45859, + "makeinindia": 42739, + "makeit": 26308, + "maken": 47093, + "makeover": 17926, + "maker": 15196, + "maker": 4836, + "makers": 6577, + "makerspace": 42400, + "makes": 2088, + "makeshift": 43274, + "makeu": 41707, + "makeup": 26402, + "makeup": 5853, + "makeyourown": 34090, + "makeyourownlane": 34823, + "maki": 34514, + "makin": 43096, + "makin": 22407, + "making": 17976, + "making": 1665, + "makk": 39852, + "maknae": 44118, + "mako": 49061, + "mal": 1662, + "mal": 3796, + "mala": 28290, + "malade": 36928, + "malaga": 35395, + "malala": 41137, + "malam": 48956, + "malaria": 24929, + "malawi": 23405, + "malay": 5323, + "malay": 42430, + "malayalam": 34860, + "malaysi": 39668, + "malaysia": 8146, + "malaysian": 21136, + "malbec": 47741, + "malcol": 12645, + "malcolm": 14139, + "maldives": 16795, + "male": 11326, + "male": 2801, + "males": 14426, + "malhotra": 28866, + "mali": 6701, + "mali": 22669, + "malia": 46714, + "malibu": 21723, + "malicious": 42147, + "malign": 41122, + "malik": 11394, + "mall": 10984, + "mall": 6220, + "mallorca": 28082, + "mallory": 38968, + "malls": 36447, + "malm": 44071, + "malnutrition": 41153, + "malo": 43518, + "malone": 19852, + "maloney": 45897, + "mals": 25370, + "malt": 21688, + "malta": 16989, + "maltese": 39838, + "malvern": 39356, + "malware": 24153, + "mam": 4404, + "mam": 17778, + "mama": 7133, + "mamamoo": 36012, + "mamas": 42395, + "mamba": 44189, + "mament": 45690, + "mami": 43858, + "mamma": 34893, + "mammal": 33385, + "mammals": 31987, + "mammoth": 28022, + "man": 723, + "man": 786, + "mana": 29467, + "mana": 15837, + "manafort": 40108, + "manag": 1830, + "manage": 9770, + "managed": 7928, + "management": 3319, + "manager": 3898, + "managerial": 44261, + "managers": 12853, + "manages": 29699, + "managing": 10892, + "manas": 44188, + "manatee": 46558, + "mance": 2324, + "manchester": 24424, + "manchester": 4651, + "mancini": 47681, + "mancity": 31538, + "mancrush": 36945, + "mancrushmonday": 39307, + "mand": 4325, + "mand": 27244, + "mandala": 41106, + "mandarin": 26455, + "mandate": 26228, + "mandatory": 19934, + "mandel": 34960, + "mandela": 16280, + "mandi": 38961, + "mandir": 35815, + "mando": 34006, + "mands": 12340, + "mandu": 31440, + "mandy": 41505, + "mandy": 24302, + "mane": 44471, + "mane": 16044, + "maneu": 33216, + "mang": 25616, + "mang": 31096, + "manga": 11873, + "mangal": 43027, + "manger": 48251, + "mango": 43831, + "mango": 13962, + "mangrove": 47180, + "manhatt": 10152, + "manhattan": 10961, + "mani": 5654, + "mani": 10718, + "mania": 8435, + "maniac": 31814, + "maniacs": 41444, + "manian": 40077, + "manic": 23017, + "manic": 37825, + "manicure": 33637, + "manife": 14379, + "manifest": 34422, + "manifestation": 48348, + "manifesto": 20907, + "manil": 38827, + "manila": 10969, + "manipu": 40261, + "manipul": 19237, + "manipulation": 30277, + "manipur": 47757, + "manish": 41759, + "manish": 44720, + "manit": 15693, + "manitoba": 20342, + "manjaro": 41489, + "mankind": 24155, + "manly": 25194, + "mann": 19396, + "mann": 4783, + "manne": 30160, + "manned": 26139, + "mannequin": 43388, + "manner": 20700, + "manners": 31693, + "manning": 15996, + "manny": 37054, + "manny": 20933, + "mano": 15753, + "mano": 24016, + "manoj": 41146, + "manor": 41830, + "manor": 13614, + "mans": 28422, + "mans": 7746, + "mansfield": 25543, + "manship": 15460, + "mansion": 13404, + "manslaughter": 48632, + "manson": 26715, + "mant": 25122, + "mant": 27037, + "manta": 41431, + "mantis": 39946, + "mantle": 22159, + "mantra": 25162, + "manu": 3404, + "manu": 25799, + "manual": 12268, + "manuel": 29171, + "manuel": 9567, + "manufac": 5105, + "manufacture": 27741, + "manufactured": 24010, + "manufacturer": 15668, + "manufacturers": 18763, + "manufacturing": 8386, + "manure": 47907, + "manus": 28181, + "manuscript": 24365, + "manuscripts": 40765, + "manutd": 20994, + "many": 28484, + "many": 1346, + "manziel": 40637, + "mao": 47447, + "mao": 25605, + "maori": 43400, + "map": 25180, + "map": 3923, + "maple": 21980, + "maple": 10570, + "mapleleafs": 41257, + "mapoli": 28768, + "mapp": 36894, + "mapped": 41596, + "mapping": 15231, + "maps": 8765, + "mapu": 42082, + "mar": 675, + "mar": 3091, + "mara": 15655, + "marais": 47913, + "maran": 44732, + "marath": 16274, + "marathi": 34102, + "marathon": 40764, + "marathon": 5910, + "marau": 38475, + "marbella": 36182, + "marble": 45429, + "marble": 13071, + "marbles": 42931, + "marc": 14054, + "marc": 9075, + "marca": 38242, + "marcel": 17726, + "marcel": 24652, + "marcelo": 35939, + "march": 10638, + "march": 2227, + "marche": 36173, + "marched": 37976, + "marches": 38249, + "marchfor": 31721, + "marching": 15082, + "marchmadness": 28555, + "marci": 36698, + "marcia": 41075, + "marck": 47733, + "marco": 24719, + "marco": 10924, + "marcor": 39945, + "marcorubio": 41143, + "marcos": 21696, + "marcu": 20760, + "marcus": 48955, + "marcus": 9895, + "mardi": 39728, + "mardi": 29229, + "mardigras": 43343, + "mare": 26512, + "mare": 8870, + "mares": 19724, + "marg": 44014, + "margar": 16838, + "margare": 10232, + "margaret": 12185, + "margarita": 25958, + "margaritas": 42679, + "margate": 37428, + "margin": 19464, + "margin": 21357, + "marginal": 38320, + "margins": 33763, + "margot": 37144, + "mari": 2603, + "mari": 19322, + "maria": 41109, + "maria": 6595, + "mariachi": 44299, + "mariah": 31214, + "mariah": 24789, + "mariahcarey": 36538, + "marian": 41129, + "marian": 24677, + "mariana": 44224, + "marianne": 32214, + "mariano": 43988, + "marie": 20657, + "marie": 7864, + "marietta": 46634, + "marig": 41002, + "marijuana": 9864, + "maril": 14611, + "marilyn": 38959, + "marilyn": 18489, + "marin": 8910, + "marin": 23992, + "marina": 12060, + "marinated": 33406, + "marine": 20674, + "marine": 5746, + "mariner": 39972, + "mariners": 19086, + "marines": 15018, + "marino": 30878, + "mario": 39176, + "mario": 7600, + "marion": 37765, + "marion": 18397, + "maris": 21512, + "maris": 33093, + "marisa": 42938, + "mariska": 44703, + "marissa": 31219, + "marist": 48223, + "mariti": 13124, + "maritime": 14331, + "marj": 38639, + "mark": 3805, + "mark": 2110, + "marke": 2399, + "marked": 12360, + "marker": 18170, + "markers": 23664, + "market": 11614, + "market": 2196, + "marketer": 33482, + "marketers": 23682, + "marketing": 19535, + "marketing": 2905, + "marketplace": 18241, + "markets": 7292, + "markham": 39817, + "marking": 14705, + "markings": 41046, + "markle": 32672, + "marko": 38338, + "marks": 5466, + "markus": 33725, + "marl": 24922, + "marlborough": 43515, + "marlene": 45117, + "marley": 16504, + "marlin": 34275, + "marlins": 23309, + "marlon": 32995, + "marmalade": 39068, + "marnock": 48305, + "maro": 27029, + "maroon": 20501, + "marqu": 20704, + "marque": 13012, + "marquee": 27725, + "marquette": 37624, + "marquez": 27317, + "marquis": 33530, + "marr": 32871, + "marrake": 37125, + "marrakech": 39006, + "marri": 3839, + "marriage": 38047, + "marriage": 7040, + "marriages": 38190, + "married": 6791, + "marries": 46283, + "marriott": 19211, + "marrow": 31030, + "marry": 13288, + "marrying": 40507, + "mars": 41469, + "mars": 7496, + "marsden": 43344, + "marse": 26577, + "marseille": 30365, + "marsh": 9237, + "marsh": 13505, + "marsha": 21491, + "marshal": 26608, + "marshall": 30939, + "marshall": 9811, + "marshals": 44175, + "marshes": 43450, + "marshmal": 21069, + "marshmallow": 28530, + "marshmallows": 39471, + "mart": 2348, + "mart": 7772, + "marta": 32858, + "martens": 43211, + "marth": 34493, + "martha": 16427, + "marti": 20577, + "martial": 17088, + "martialarts": 35895, + "martian": 30214, + "martin": 6929, + "martin": 3690, + "martina": 34393, + "martinez": 13913, + "marting": 47570, + "martini": 22199, + "martino": 41675, + "martins": 30569, + "marty": 9926, + "marty": 17169, + "martyn": 44075, + "martyr": 36155, + "martyr": 26067, + "martyrdom": 43110, + "martyred": 39114, + "martyrs": 24707, + "maru": 37413, + "maru": 31838, + "marvel": 13835, + "marvel": 5996, + "marvelcomics": 46897, + "marvell": 26576, + "marvellous": 28402, + "marvelous": 25487, + "marvin": 19675, + "marx": 30559, + "marx": 26001, + "marxist": 45205, + "mary": 5146, + "mary": 2676, + "maryam": 33636, + "maryam": 36393, + "maryland": 11379, + "marys": 40905, + "marys": 40228, + "mas": 5226, + "mas": 1412, + "masa": 24995, + "masa": 41868, + "masala": 31483, + "masc": 23564, + "mascar": 46984, + "mascara": 31635, + "mascot": 13983, + "mascots": 43266, + "mascul": 25589, + "masculine": 48269, + "masculinity": 40465, + "mase": 49128, + "maser": 25798, + "maserati": 30442, + "mash": 12317, + "mash": 15680, + "mashable": 41026, + "mashed": 27395, + "mashup": 27079, + "masi": 35965, + "masjid": 31420, + "mask": 19262, + "mask": 8306, + "masked": 25757, + "masking": 47046, + "masks": 19055, + "maslow": 44359, + "mason": 17424, + "mason": 9699, + "masonic": 36491, + "masonry": 30764, + "masons": 37195, + "masqu": 26593, + "masquer": 29604, + "masquerade": 36944, + "mass": 4636, + "mass": 4854, + "massach": 14484, + "massachuse": 14577, + "massachusetts": 14756, + "massacre": 14696, + "massage": 13055, + "masse": 41735, + "masses": 22978, + "massey": 29868, + "massi": 17239, + "massimo": 45821, + "massive": 4818, + "massively": 34297, + "mast": 45916, + "mast": 27920, + "master": 4534, + "master": 3498, + "mastercard": 40542, + "masterchef": 34809, + "masterclass": 17529, + "mastered": 32616, + "masterful": 46823, + "mastering": 28326, + "mastermind": 34029, + "masterpiece": 12066, + "masterpieces": 37596, + "masters": 6913, + "mastery": 34800, + "mastiff": 42311, + "maswar": 47887, + "mat": 905, + "mat": 9063, + "mata": 17270, + "match": 7733, + "match": 2439, + "matcha": 32433, + "matchday": 15947, + "matched": 17792, + "matches": 8609, + "matching": 11840, + "matchup": 19355, + "matchups": 49162, + "mate": 6137, + "mate": 2936, + "mated": 33813, + "mateo": 34991, + "mater": 23724, + "materi": 7084, + "material": 7118, + "materials": 8161, + "maternal": 26131, + "maternity": 23894, + "mates": 5817, + "math": 13277, + "math": 6025, + "mathe": 8725, + "mathemat": 11901, + "mathematical": 25609, + "mathematician": 41036, + "mathematics": 20113, + "mathew": 36333, + "mathews": 37120, + "mathi": 23014, + "mathieu": 40417, + "maths": 14763, + "mati": 12716, + "mati": 32268, + "matic": 36859, + "matic": 7900, + "matically": 38282, + "matics": 23634, + "matil": 26751, + "matilda": 36308, + "matin": 44849, + "matinee": 38525, + "mating": 34346, + "mation": 11701, + "matisse": 43446, + "mato": 13127, + "matologist": 48842, + "matology": 27940, + "matory": 25519, + "matri": 27041, + "matrix": 18078, + "mats": 22259, + "matsu": 30242, + "matt": 7972, + "matt": 3972, + "mattb": 42791, + "matte": 31237, + "matte": 19771, + "mattel": 35365, + "matteo": 33120, + "matter": 30471, + "matter": 3828, + "matters": 5708, + "matth": 41846, + "matthe": 5116, + "matthew": 17588, + "matthew": 7008, + "matthews": 16739, + "matthi": 29853, + "matthias": 45104, + "matti": 39840, + "mattress": 23438, + "matty": 31233, + "matty": 29176, + "matu": 40616, + "matur": 22897, + "mature": 14417, + "maturity": 28047, + "mau": 8134, + "mau": 23033, + "maui": 20463, + "maul": 30725, + "maur": 10574, + "maure": 25191, + "maureen": 31723, + "maurice": 20200, + "mauricio": 39066, + "mauriti": 28406, + "mauritius": 29305, + "mauro": 41691, + "mav": 25697, + "maver": 16700, + "maverick": 27425, + "mavericks": 30092, + "mavs": 30665, + "maw": 39351, + "maw": 42271, + "mawards": 37682, + "max": 4898, + "max": 3902, + "maxi": 8554, + "maxi": 23266, + "maxim": 19892, + "maxim": 38574, + "maximize": 28673, + "maximum": 13162, + "maximus": 44312, + "maxine": 38468, + "maxwell": 19611, + "maxx": 37466, + "may": 1686, + "may": 1270, + "maya": 45783, + "maya": 12987, + "mayan": 37952, + "maybe": 3746, + "mayday": 29957, + "mayer": 21196, + "mayfair": 35171, + "mayfield": 33933, + "mayhem": 21502, + "maymay": 26600, + "maymay": 33853, + "maymayentrata": 30480, + "maynard": 32487, + "mayne": 35771, + "mayo": 22449, + "mayo": 11280, + "mayor": 15429, + "mayor": 4676, + "mayoral": 28983, + "mayorof": 43533, + "mayors": 28501, + "mays": 35445, + "maythe": 42281, + "mayward": 45751, + "mayward": 23519, + "mayweather": 22774, + "maz": 9177, + "maz": 36215, + "mazda": 18506, + "maze": 21988, + "mazz": 29439, + "mañ": 37059, + "mañana": 39354, + "mb": 758, + "mb": 3996, + "mba": 8329, + "mban": 46685, + "mbar": 44452, + "mbb": 10736, + "mbc": 20137, + "mbe": 38395, + "mbe": 27004, + "mber": 5467, + "mber": 1034, + "mberg": 26372, + "mbers": 5443, + "mbi": 45347, + "mble": 20310, + "mble": 4756, + "mbles": 28693, + "mbling": 28604, + "mbo": 25733, + "mbo": 11319, + "mbps": 44896, + "mbs": 10370, + "mbta": 38979, + "mbu": 42228, + "mbuhari": 36752, + "mc": 1278, + "mc": 4126, + "mca": 40570, + "mca": 14635, + "mcal": 28663, + "mcar": 43776, + "mcbride": 35080, + "mcc": 21192, + "mccabe": 37628, + "mccaf": 47385, + "mccain": 20397, + "mccall": 34844, + "mccann": 27140, + "mccar": 9570, + "mccarthy": 16974, + "mccartney": 19958, + "mccl": 24709, + "mccla": 43672, + "mccle": 40139, + "mcclure": 44945, + "mcco": 46152, + "mccon": 32638, + "mccor": 23057, + "mccormack": 45164, + "mccormick": 39088, + "mccoy": 20218, + "mccr": 41996, + "mccre": 25393, + "mccul": 38833, + "mccull": 41782, + "mcd": 28930, + "mcder": 27355, + "mcdermott": 34504, + "mcdon": 12171, + "mcdonald": 10741, + "mcdonalds": 17674, + "mcdonnell": 34360, + "mcdowell": 34119, + "mce": 26864, + "mcel": 28752, + "mcen": 47423, + "mcfad": 36976, + "mcfadden": 42105, + "mcfar": 29020, + "mcfarlane": 47174, + "mcfc": 16416, + "mcfly": 38211, + "mcg": 42507, + "mcg": 27995, + "mcgee": 29223, + "mcgill": 46524, + "mcgill": 35511, + "mcgin": 29596, + "mcgowan": 40462, + "mcgr": 25169, + "mcgra": 29367, + "mcgrath": 28759, + "mcgraw": 40950, + "mcgregor": 19642, + "mcgu": 34294, + "mcguinness": 45299, + "mcguire": 32635, + "mci": 46212, + "mci": 45491, + "mcil": 30481, + "mcin": 18770, + "mcintosh": 45353, + "mcintyre": 33369, + "mck": 6781, + "mckay": 33611, + "mcke": 27424, + "mckee": 43529, + "mcken": 42619, + "mckenna": 24924, + "mckenzie": 25502, + "mckin": 15437, + "mckinley": 39891, + "mckinney": 33554, + "mckinnon": 48736, + "mckinsey": 48143, + "mcl": 49021, + "mcla": 12565, + "mclaren": 37381, + "mclaren": 16789, + "mclau": 32285, + "mclaughlin": 35346, + "mcle": 25299, + "mclean": 28666, + "mcleod": 40259, + "mcm": 12251, + "mcmahon": 24026, + "mcmaster": 42703, + "mcmillan": 45603, + "mcn": 42919, + "mcnam": 32682, + "mcnamara": 37506, + "mcne": 42545, + "mco": 33723, + "mcqueen": 22544, + "mcr": 29884, + "mcr": 16966, + "mcs": 27020, + "mcu": 30403, + "md": 8637, + "md": 4732, + "mdc": 38773, + "mdc": 41761, + "mds": 48746, + "mdt": 40822, + "me": 613, + "me": 614, + "mea": 46045, + "mea": 17711, + "mead": 12134, + "mead": 21567, + "meade": 37218, + "meado": 16402, + "meadow": 25213, + "meadow": 17195, + "meadows": 17178, + "meal": 29662, + "meal": 5478, + "meals": 11229, + "mean": 4189, + "mean": 3450, + "meand": 48015, + "meaning": 14586, + "meaning": 8342, + "meaningful": 17480, + "meaningless": 48932, + "meanings": 45814, + "means": 3494, + "meant": 8674, + "meantime": 27499, + "meanwhile": 9650, + "meas": 5867, + "measles": 38230, + "measurable": 48010, + "measure": 15261, + "measure": 10579, + "measured": 23154, + "measurement": 20973, + "measurements": 29894, + "measures": 11936, + "measuring": 18064, + "meat": 10805, + "meat": 6480, + "meatball": 43642, + "meatballs": 29233, + "meath": 37920, + "meatless": 48085, + "meats": 29558, + "mec": 27432, + "mecca": 36095, + "mech": 38305, + "mechan": 6715, + "mechanic": 24582, + "mechanical": 14467, + "mechanics": 20536, + "mechanism": 22576, + "mechanisms": 28610, + "meck": 41908, + "med": 1948, + "med": 2177, + "meda": 33614, + "medal": 29714, + "medal": 6974, + "medalist": 21040, + "medalists": 43397, + "medalli": 31349, + "medallion": 43469, + "medallist": 41472, + "medals": 14710, + "mede": 48225, + "meded": 27627, + "medi": 1436, + "media": 22064, + "media": 1895, + "mediac": 37490, + "median": 30491, + "mediation": 42829, + "medic": 3602, + "medic": 35441, + "medicaid": 25421, + "medical": 18432, + "medical": 4116, + "medicare": 23710, + "medication": 23771, + "medications": 37181, + "medicinal": 28772, + "medicine": 5616, + "medicines": 26541, + "medics": 46688, + "medieval": 38956, + "medieval": 10789, + "medina": 27281, + "mediocre": 41170, + "medit": 19130, + "meditate": 38039, + "meditation": 10827, + "mediter": 14194, + "mediterran": 14358, + "mediterranean": 15327, + "medium": 8675, + "medley": 24793, + "meds": 25075, + "medtech": 42044, + "medusa": 44216, + "medway": 42286, + "mee": 1725, + "mee": 14075, + "meek": 28935, + "meen": 37940, + "meen": 46515, + "meer": 26714, + "meer": 27555, + "meet": 5714, + "meet": 1633, + "meeting": 48566, + "meeting": 2071, + "meetings": 9980, + "meets": 5972, + "meetthe": 27575, + "meetup": 15430, + "meg": 11500, + "meg": 16186, + "mega": 15979, + "mega": 9068, + "megab": 38103, + "megadeth": 46741, + "megal": 37650, + "megam": 26073, + "megan": 19127, + "megan": 11503, + "megap": 33624, + "megat": 35581, + "megh": 31192, + "meghan": 39939, + "meghan": 18261, + "meh": 10512, + "meh": 22211, + "mehta": 25031, + "mei": 22564, + "mei": 25198, + "meier": 29812, + "mein": 28857, + "mein": 21466, + "meister": 28407, + "mek": 44645, + "mel": 1902, + "mel": 6834, + "mela": 35032, + "melan": 22261, + "melanch": 44818, + "melancholy": 47821, + "melani": 34031, + "melania": 32796, + "melanie": 22153, + "melanoma": 40862, + "melb": 47007, + "melb": 28980, + "melbourne": 28387, + "melbourne": 6995, + "melee": 45108, + "meli": 28885, + "melinda": 46303, + "melis": 18913, + "melissa": 41866, + "melissa": 13030, + "mell": 22531, + "mell": 41583, + "mello": 47594, + "mellon": 45162, + "mellow": 32034, + "melo": 10354, + "melo": 22374, + "melodic": 41877, + "melodies": 38412, + "melody": 19119, + "melon": 12146, + "melrose": 36296, + "melt": 22209, + "melt": 15957, + "meltdown": 30613, + "melted": 23037, + "melting": 19247, + "melton": 46062, + "melts": 31446, + "melville": 46030, + "melvin": 31544, + "mely": 6373, + "mem": 4937, + "mem": 34944, + "memb": 2114, + "member": 29566, + "member": 1640, + "members": 2567, + "membership": 11562, + "membrane": 34088, + "meme": 35157, + "meme": 9169, + "memes": 12828, + "memo": 15967, + "memo": 19334, + "memoir": 20532, + "memoirs": 45311, + "memor": 1858, + "memorab": 26271, + "memorabilia": 27488, + "memorable": 13172, + "memorial": 16285, + "memorial": 4642, + "memorialday": 21598, + "memoriam": 48191, + "memories": 4304, + "memory": 44766, + "memory": 5137, + "memph": 10285, + "memphis": 38432, + "memphis": 11298, + "men": 1552, + "men": 1656, + "mena": 23052, + "menace": 29949, + "mend": 8151, + "mend": 46927, + "mendel": 49268, + "mendes": 18060, + "mendez": 48275, + "mendo": 19327, + "mendoza": 23680, + "meng": 37102, + "meng": 37450, + "mening": 46428, + "menon": 38255, + "menopau": 34974, + "menopause": 46026, + "mens": 16924, + "mens": 10495, + "mensfashion": 27578, + "menstru": 28345, + "menstrual": 40915, + "menswear": 18803, + "ment": 1585, + "ment": 777, + "mental": 8611, + "mental": 3448, + "mentalhealth": 20593, + "mentalhealth": 13022, + "mentality": 26647, + "mentally": 14307, + "mentary": 4468, + "mentation": 9512, + "mentday": 40397, + "mente": 40302, + "mente": 36396, + "mented": 9249, + "menting": 14471, + "mention": 43881, + "mention": 6762, + "mentioned": 11948, + "mentioning": 34290, + "mentions": 12334, + "mento": 30582, + "mentor": 45342, + "mentor": 11642, + "mentoring": 19610, + "mentors": 20945, + "mentorship": 33878, + "ments": 1827, + "menu": 6225, + "menus": 33534, + "meo": 30792, + "meow": 39965, + "meow": 17246, + "mep": 27095, + "mer": 1316, + "mer": 2452, + "mera": 20028, + "merc": 34357, + "merc": 44399, + "mercado": 45479, + "merce": 8409, + "mercede": 34959, + "mercedes": 26403, + "mercedes": 10685, + "mercedesam": 40107, + "mercedesbenz": 32347, + "mercen": 40301, + "mercer": 21632, + "merch": 11504, + "merchandi": 14954, + "merchandise": 16808, + "merchandising": 49196, + "merchant": 19563, + "merchants": 34427, + "merci": 23364, + "merci": 29378, + "mercur": 11471, + "mercury": 45203, + "mercury": 12653, + "mercy": 33249, + "mercy": 10815, + "mere": 29657, + "mere": 10342, + "mered": 24657, + "mered": 32297, + "meredith": 25103, + "merely": 28718, + "merge": 30406, + "merged": 46492, + "merger": 24744, + "merging": 49256, + "meri": 17993, + "meri": 36109, + "meria": 48433, + "meric": 27097, + "merica": 30561, + "meridi": 37901, + "meridian": 31195, + "mering": 41060, + "meringue": 41661, + "merino": 42648, + "merit": 20830, + "merkel": 24715, + "merle": 48586, + "merlin": 26517, + "merlot": 40424, + "mermaid": 16064, + "mermaids": 43617, + "mero": 19097, + "merr": 48288, + "merri": 21462, + "merrill": 47713, + "merritt": 36462, + "merry": 14167, + "merry": 5779, + "merrychristmas": 19672, + "mers": 4199, + "mersal": 36711, + "mersey": 25248, + "mersey": 46239, + "merseyside": 35382, + "mert": 48496, + "merton": 35315, + "mery": 40873, + "meryl": 35787, + "mes": 28432, + "mes": 3029, + "mesa": 18956, + "mese": 42018, + "mesh": 15030, + "mesm": 18695, + "mesmer": 38435, + "mesmeri": 25985, + "mesmerizing": 35637, + "meso": 25537, + "mesqu": 46819, + "mess": 2490, + "mess": 8188, + "message": 3918, + "messages": 9390, + "messaging": 23234, + "messe": 40391, + "messed": 23580, + "messenger": 17389, + "messi": 19394, + "messi": 11252, + "messiah": 28737, + "messing": 23144, + "messy": 15987, + "mest": 23780, + "mester": 47349, + "mesut": 49177, + "met": 5249, + "met": 2340, + "meta": 14803, + "meta": 22701, + "metab": 16150, + "metabol": 48389, + "metaboli": 25573, + "metabolic": 34311, + "metabolism": 27824, + "metal": 8935, + "metal": 4044, + "metall": 19084, + "metallic": 17257, + "metallica": 24079, + "metals": 21375, + "metam": 28862, + "metamor": 39030, + "metamorpho": 47601, + "metaph": 24189, + "metaphor": 34233, + "metast": 41973, + "mete": 11226, + "meteor": 26429, + "meteor": 26823, + "meteoro": 25948, + "meteorologist": 42849, + "meter": 10104, + "meters": 13247, + "metgala": 30089, + "meth": 21867, + "meth": 26177, + "methane": 37565, + "metho": 5770, + "method": 10284, + "methodist": 25165, + "methodo": 28488, + "methodology": 37316, + "methods": 12200, + "methyl": 48999, + "metmuseum": 28207, + "meto": 25679, + "metoo": 24722, + "metr": 15086, + "metre": 27889, + "metres": 19798, + "metric": 19950, + "metrical": 40704, + "metrics": 24396, + "metro": 7257, + "metro": 6784, + "metroid": 39957, + "metropolis": 40476, + "metropolitan": 19013, + "metry": 20039, + "mets": 9633, + "mett": 28081, + "metz": 40506, + "meu": 34520, + "mew": 40368, + "mex": 3213, + "mex": 18387, + "mexic": 31728, + "mexican": 37442, + "mexican": 8186, + "mexicans": 47729, + "mexico": 31834, + "mexico": 4604, + "mey": 28584, + "mey": 27777, + "meyer": 13963, + "meyers": 32326, + "mez": 30615, + "mez": 46833, + "mezz": 38771, + "mf": 18199, + "mf": 11067, + "mfa": 24107, + "mfc": 39474, + "mfg": 21912, + "mfw": 27309, + "mg": 10003, + "mg": 8014, + "mga": 23954, + "mgm": 27572, + "mgmt": 22288, + "mgr": 31500, + "mgs": 48073, + "mgt": 48663, + "mh": 9962, + "mh": 10834, + "mha": 41944, + "mhealth": 41225, + "mhs": 28815, + "mhz": 31550, + "mi": 714, + "mi": 2251, + "mia": 5852, + "miam": 31053, + "miami": 15106, + "miami": 4891, + "mian": 24792, + "miaw": 36046, + "mib": 48178, + "mic": 1213, + "mic": 3816, + "mica": 41551, + "micah": 33870, + "mice": 19030, + "mich": 25628, + "mich": 23029, + "micha": 2083, + "michael": 6051, + "michael": 2511, + "michaela": 41897, + "michaeljackson": 33532, + "michaels": 23868, + "michal": 47144, + "miche": 37966, + "micheal": 43709, + "michel": 5158, + "michel": 17153, + "michelangelo": 41245, + "michele": 20642, + "michelin": 26330, + "michelle": 19028, + "michelle": 8625, + "michi": 5658, + "michigan": 32344, + "michigan": 6296, + "mick": 15171, + "mick": 12592, + "mickey": 41813, + "mickey": 13053, + "micky": 43011, + "micro": 3160, + "micro": 11374, + "microbes": 44671, + "microbi": 19496, + "microbial": 30335, + "microbiology": 35348, + "microbiome": 35148, + "micron": 48742, + "microphone": 24643, + "micropoetry": 35997, + "microscope": 29114, + "microscopy": 38431, + "microsof": 42424, + "microsoft": 38650, + "microsoft": 7254, + "microwave": 24240, + "mics": 16554, + "mid": 2192, + "mid": 4734, + "midcentury": 48988, + "midd": 2983, + "midday": 23390, + "middle": 9849, + "middle": 3694, + "middleeast": 32783, + "middles": 29769, + "middlesbrough": 32436, + "middlesex": 39154, + "middleton": 23627, + "middleweight": 35829, + "midfield": 28116, + "midfielder": 13423, + "midget": 30734, + "midi": 39496, + "midi": 27326, + "midland": 24822, + "midlands": 18062, + "midnight": 35746, + "midnight": 6302, + "mids": 40821, + "midst": 24752, + "midsummer": 35234, + "midterm": 34365, + "midterms": 32015, + "midtown": 26069, + "midway": 26536, + "midweek": 29120, + "midwest": 16627, + "midwi": 44802, + "midwife": 37681, + "midwives": 42355, + "mie": 20865, + "mie": 10555, + "miento": 46482, + "mier": 36490, + "mies": 8840, + "miff": 49398, + "mig": 28743, + "might": 2727, + "mighty": 26632, + "mighty": 7815, + "mign": 41678, + "migos": 44640, + "migr": 3736, + "migra": 28186, + "migraine": 35360, + "migrant": 18902, + "migrants": 15814, + "migrate": 41804, + "migrating": 43604, + "migration": 11891, + "migu": 12279, + "miguel": 33672, + "miguel": 14436, + "miho": 46870, + "mii": 39896, + "mik": 15096, + "mik": 46203, + "mika": 28609, + "mika": 25185, + "mike": 5884, + "mike": 3178, + "mikel": 48865, + "mikequind": 33508, + "mikequindazzi": 33551, + "mikey": 34934, + "mikey": 23368, + "mikha": 30999, + "mikhail": 38327, + "miki": 48863, + "miko": 35413, + "miku": 37703, + "mil": 1469, + "mil": 12826, + "mila": 26183, + "milan": 30380, + "milan": 8552, + "milano": 18585, + "milb": 42248, + "mild": 16085, + "mildly": 49059, + "mile": 7833, + "mile": 6243, + "mileage": 30579, + "miler": 44680, + "miles": 3446, + "milestone": 13485, + "milestones": 34025, + "miley": 25336, + "miley": 14321, + "mileycyrus": 28528, + "milf": 45386, + "milford": 35840, + "mili": 16698, + "miliband": 41440, + "milit": 3715, + "militant": 33629, + "militants": 23974, + "military": 24498, + "military": 4323, + "militi": 46625, + "militia": 32114, + "milk": 13409, + "milk": 5205, + "milkshake": 29066, + "milky": 37320, + "milky": 21120, + "milkyway": 43246, + "mill": 4221, + "mill": 6637, + "milla": 49381, + "millan": 34930, + "millan": 22188, + "millar": 41851, + "mille": 34066, + "millen": 48501, + "millenni": 10406, + "millennial": 28357, + "millennials": 18804, + "millennium": 21116, + "miller": 21699, + "miller": 5733, + "milli": 5340, + "millie": 29283, + "milling": 39133, + "million": 13154, + "million": 2506, + "millionaire": 25179, + "millionaires": 47159, + "millions": 8492, + "mills": 10331, + "millwall": 35902, + "milly": 45794, + "milne": 44590, + "milner": 45230, + "milo": 24548, + "milton": 39004, + "milton": 17360, + "milwau": 13452, + "milwaukee": 14259, + "mim": 39379, + "mimi": 27086, + "mimic": 47116, + "mimic": 46519, + "mimo": 45551, + "min": 771, + "min": 3331, + "mina": 15281, + "minaj": 25136, + "minal": 40222, + "minat": 33275, + "mince": 32396, + "mind": 5890, + "mind": 2575, + "mindanao": 44228, + "minded": 21330, + "mindful": 28457, + "mindfulness": 15707, + "minding": 45337, + "minds": 9244, + "mindset": 14217, + "mindy": 46875, + "mindy": 38551, + "mine": 20149, + "mine": 3347, + "minecraft": 15678, + "mined": 48034, + "minent": 12533, + "miner": 14109, + "miner": 26572, + "mineral": 17692, + "minerals": 21169, + "miners": 22119, + "mines": 16211, + "ming": 10868, + "ming": 2107, + "mingham": 7590, + "mingle": 38437, + "mingly": 36909, + "mington": 49283, + "mington": 23119, + "minh": 48734, + "minho": 21318, + "mini": 1810, + "mini": 3954, + "miniature": 44298, + "miniature": 16377, + "miniatures": 38816, + "minic": 31522, + "minim": 10005, + "minimal": 18458, + "minimalism": 42594, + "minimalist": 26641, + "minimize": 38697, + "minimum": 12244, + "minindia": 28458, + "mining": 8473, + "minion": 28622, + "minions": 27035, + "minis": 33409, + "minis": 35976, + "minister": 25688, + "minister": 3569, + "ministerial": 33008, + "ministers": 16406, + "ministries": 27895, + "ministry": 8742, + "mink": 42017, + "minn": 45991, + "minn": 47318, + "minne": 7083, + "minneapolis": 16977, + "minneso": 9380, + "minnesota": 9968, + "minnie": 24493, + "mino": 22791, + "minogue": 44202, + "minor": 8522, + "minorities": 28119, + "minority": 16210, + "minors": 36789, + "mins": 6196, + "minsk": 46151, + "minster": 11189, + "mint": 48084, + "mint": 7506, + "minted": 49377, + "minton": 20050, + "minu": 29064, + "minus": 15358, + "minute": 28931, + "minute": 4497, + "minutes": 3056, + "mio": 26366, + "mir": 2750, + "mir": 6585, + "mira": 21665, + "mira": 22762, + "mirac": 13685, + "miracle": 49208, + "miracle": 11543, + "miracles": 23478, + "miraculous": 38671, + "mirage": 28679, + "mirai": 49060, + "mirand": 32367, + "miranda": 17590, + "mire": 38140, + "mire": 30140, + "miri": 22273, + "miriam": 30950, + "miro": 34851, + "miro": 48317, + "mirren": 47600, + "mirro": 48500, + "mirror": 29823, + "mirror": 7220, + "mirrors": 21823, + "mirza": 36440, + "mis": 866, + "mis": 11239, + "mischief": 33896, + "misconceptions": 48681, + "misconduct": 30601, + "mise": 46567, + "mise": 17267, + "miser": 33394, + "miserable": 26196, + "misery": 28360, + "mises": 24390, + "misfits": 42708, + "mish": 15494, + "mish": 20981, + "misha": 35434, + "mishra": 33042, + "misleading": 30862, + "mism": 15948, + "miso": 27657, + "miso": 33441, + "misogy": 31315, + "misogyny": 48415, + "miss": 6984, + "miss": 1526, + "missal": 38337, + "missed": 3955, + "misses": 15844, + "missi": 3008, + "missile": 14411, + "missiles": 27868, + "missin": 36209, + "missing": 23509, + "missing": 3423, + "mission": 12738, + "mission": 2406, + "missionaries": 40580, + "missionary": 27915, + "missions": 6990, + "mississ": 26483, + "mississauga": 28393, + "mississi": 11687, + "mississippi": 12232, + "missou": 30710, + "missoula": 48549, + "missouri": 11835, + "missuni": 26347, + "missuniverse": 28766, + "missy": 48105, + "missy": 31515, + "missyou": 45799, + "mist": 12610, + "mist": 11946, + "mistak": 20478, + "mistake": 11303, + "mistaken": 29182, + "mistakenly": 48494, + "mistakes": 12824, + "mister": 26949, + "mister": 18895, + "mistle": 46800, + "mistletoe": 48569, + "mistre": 42039, + "mistress": 24349, + "mists": 28636, + "misty": 18799, + "misunderstood": 41574, + "misuse": 40970, + "mit": 3303, + "mit": 4551, + "mita": 47514, + "mitage": 27964, + "mitch": 6969, + "mitch": 14150, + "mitchell": 39339, + "mitchell": 9007, + "mite": 26929, + "mith": 21752, + "mith": 17948, + "miti": 17857, + "mitigate": 42273, + "mitigation": 35514, + "mito": 38254, + "mitochondri": 42132, + "mitra": 47703, + "mits": 24086, + "mitsu": 17905, + "mitsubi": 21604, + "mitsubishi": 23030, + "mitt": 17321, + "mitt": 21341, + "mitted": 10307, + "mitting": 27938, + "mitz": 41827, + "mium": 35891, + "miwx": 43941, + "mix": 3210, + "mix": 3285, + "mixed": 29376, + "mixed": 6780, + "mixer": 17200, + "mixers": 39175, + "mixes": 19061, + "mixing": 15588, + "mixtape": 11044, + "mixture": 28286, + "miy": 25695, + "miya": 36257, + "miz": 20881, + "miz": 30795, + "mize": 19076, + "mized": 43418, + "mizing": 38715, + "mizz": 19985, + "mizzou": 26165, + "mj": 13117, + "mj": 14733, + "mk": 11581, + "mk": 8937, + "mke": 36642, + "mkt": 24814, + "ml": 3627, + "ml": 5780, + "mla": 16723, + "mlas": 48464, + "mlb": 21039, + "mlb": 7482, + "mley": 40329, + "mlg": 45801, + "mlin": 24556, + "mlk": 17941, + "mlkday": 39905, + "mlm": 37611, + "mln": 18971, + "mlp": 23620, + "mlpfi": 45475, + "mlpfim": 45640, + "mls": 13077, + "mm": 1028, + "mm": 2848, + "mma": 34140, + "mma": 6096, + "mmc": 44253, + "mme": 13105, + "mmed": 19570, + "mmer": 35717, + "mmer": 7508, + "mmers": 28128, + "mmes": 42862, + "mmi": 34147, + "mming": 21038, + "mming": 16507, + "mmings": 31357, + "mmit": 41050, + "mmj": 43015, + "mmm": 37908, + "mmm": 7641, + "mmmm": 36312, + "mmmm": 13180, + "mmmmm": 21808, + "mmmmmm": 43740, + "mmo": 30418, + "mmon": 41131, + "mmor": 36657, + "mmorpg": 39476, + "mms": 37803, + "mmva": 42666, + "mmy": 28837, + "mmy": 8722, + "mn": 5086, + "mn": 4057, + "mna": 34877, + "mnd": 44776, + "mnet": 34129, + "mnf": 41105, + "mnl": 32980, + "mnleg": 42653, + "mns": 39040, + "mnt": 21477, + "mntwins": 45448, + "mnwild": 39044, + "mnwx": 39592, + "mo": 617, + "mo": 2080, + "moa": 33174, + "moana": 43241, + "mob": 2818, + "mob": 12754, + "mobi": 9451, + "mobil": 26343, + "mobil": 29815, + "mobile": 12935, + "mobile": 3451, + "mobiles": 44302, + "mobili": 20770, + "mobility": 12546, + "mobilization": 48916, + "moby": 47219, + "moc": 41439, + "moc": 36992, + "mocha": 28425, + "mochi": 47973, + "mock": 15641, + "mock": 12759, + "mocked": 47400, + "mocking": 28692, + "mocking": 37870, + "mocks": 35142, + "mod": 6362, + "mod": 10893, + "moda": 25814, + "modal": 33157, + "mode": 20402, + "mode": 6493, + "model": 4591, + "model": 2863, + "modeled": 39527, + "modeling": 13706, + "modelling": 19946, + "models": 6176, + "moder": 2894, + "moderate": 16435, + "moderated": 27928, + "moderating": 34242, + "moderator": 32659, + "modern": 11706, + "modern": 4077, + "modernart": 34417, + "moderni": 24328, + "modernism": 39601, + "modernist": 36773, + "modernization": 47294, + "modes": 30454, + "modest": 25436, + "modi": 9047, + "modi": 7774, + "modification": 37630, + "modified": 17964, + "modo": 36820, + "mods": 23843, + "modu": 9036, + "modular": 22437, + "module": 16757, + "modules": 30575, + "moe": 38655, + "moe": 17938, + "mof": 30798, + "moff": 27160, + "mog": 42362, + "moga": 41732, + "mogadishu": 45133, + "mogul": 41320, + "moh": 18979, + "moh": 35388, + "moha": 46892, + "moham": 7923, + "mohamed": 18472, + "mohammad": 19926, + "mohammed": 16168, + "mohan": 26521, + "mohan": 23586, + "mohawk": 34942, + "mohd": 49094, + "mohsin": 48861, + "moi": 20691, + "moi": 21825, + "moil": 30349, + "moines": 32091, + "moist": 19831, + "moist": 33263, + "moisture": 20412, + "moisturi": 25942, + "moj": 34505, + "moja": 49055, + "mojito": 46830, + "mojo": 25204, + "mok": 49146, + "mol": 4246, + "mol": 31582, + "mold": 21846, + "molding": 46274, + "moldova": 47317, + "mole": 9927, + "mole": 23529, + "molecular": 19370, + "molecule": 39233, + "molecules": 35643, + "molina": 34201, + "mollie": 48203, + "molly": 24368, + "molly": 12573, + "molo": 41510, + "mology": 32255, + "molten": 46071, + "moly": 47083, + "mom": 1614, + "mom": 2543, + "moma": 33605, + "mombasa": 40340, + "moment": 12197, + "moment": 2495, + "momento": 30078, + "moments": 5251, + "momentum": 15722, + "momlife": 43825, + "momma": 14508, + "mommy": 12456, + "momo": 48490, + "momo": 25980, + "moms": 28446, + "moms": 10042, + "momsdemand": 33744, + "mon": 749, + "mon": 2173, + "mona": 19143, + "monaco": 14938, + "monaghan": 39797, + "monarch": 27235, + "monarch": 22619, + "monarchs": 36750, + "monarchy": 47503, + "monaster": 19422, + "monastery": 21850, + "monc": 34847, + "moncton": 44962, + "mond": 14522, + "mond": 4475, + "monday": 6205, + "monday": 2098, + "mondaymorning": 40089, + "mondaymotiv": 45488, + "mondaymotivation": 8198, + "mondaymotivaton": 47034, + "mondays": 13815, + "monde": 29339, + "mondo": 36207, + "monds": 20317, + "mone": 25990, + "monet": 24499, + "monetary": 26394, + "moneti": 38056, + "money": 12743, + "money": 2327, + "mong": 43566, + "monger": 38928, + "mongers": 27670, + "mongo": 20680, + "mongolia": 27144, + "mongolian": 46335, + "moni": 46851, + "monia": 31161, + "monic": 30893, + "monica": 13540, + "monit": 9014, + "monitor": 10198, + "monitored": 45828, + "monitoring": 11030, + "monitors": 30478, + "monk": 30557, + "monk": 16424, + "monkey": 29597, + "monkey": 9465, + "monkeys": 15781, + "monks": 29090, + "monmouth": 36929, + "mono": 8220, + "mono": 22537, + "monochrome": 25576, + "monogram": 39665, + "monologue": 47776, + "monopoly": 25241, + "monoxide": 49314, + "monro": 45750, + "monroe": 13625, + "mons": 19885, + "monsanto": 37592, + "monsi": 46677, + "monsieur": 48879, + "monsoon": 18872, + "monsta": 30718, + "monstax": 45631, + "monste": 47045, + "monster": 14454, + "monster": 6060, + "monsters": 11546, + "mont": 5186, + "mont": 5382, + "montag": 37202, + "montage": 32325, + "montal": 42126, + "montan": 28405, + "montana": 11436, + "monte": 8711, + "monte": 14667, + "montene": 28538, + "montenegro": 30378, + "monter": 36673, + "monterey": 23388, + "monterrey": 45254, + "montess": 43205, + "montessori": 45443, + "montgom": 13852, + "montgomery": 14951, + "month": 7680, + "month": 1924, + "monthly": 8764, + "months": 3109, + "monthsary": 42420, + "monton": 41961, + "montp": 39523, + "montre": 8434, + "montreal": 9262, + "montrose": 42347, + "monty": 43997, + "monty": 24038, + "monu": 9748, + "monument": 12019, + "monumental": 31297, + "monuments": 26916, + "mony": 4117, + "monza": 40380, + "moo": 4953, + "moo": 24626, + "mood": 42358, + "mood": 5394, + "moods": 43727, + "moody": 17170, + "moom": 36887, + "moon": 6334, + "moon": 3293, + "mooney": 37942, + "moonlight": 20001, + "moons": 29887, + "moonshine": 46706, + "moor": 14817, + "moor": 11877, + "moore": 28613, + "moore": 6708, + "moors": 32577, + "moose": 37562, + "moose": 17338, + "moot": 46895, + "mop": 33900, + "mopar": 41166, + "mor": 657, + "mor": 18614, + "mora": 29262, + "moral": 11246, + "morale": 39404, + "morales": 27117, + "morality": 34133, + "morally": 42519, + "morals": 46223, + "moran": 21557, + "moray": 44569, + "more": 5434, + "more": 750, + "morecam": 37305, + "morecambe": 43414, + "mored": 20195, + "moreland": 44135, + "moreno": 24826, + "morethan": 30889, + "morg": 34284, + "morgan": 15432, + "morgan": 6075, + "morgen": 35106, + "mori": 25710, + "mori": 29514, + "moris": 43131, + "moritz": 45594, + "morley": 40439, + "mormon": 27715, + "morn": 22393, + "mornin": 28327, + "morning": 10769, + "morning": 1119, + "mornings": 12106, + "moro": 31613, + "moroc": 11996, + "moroccan": 27546, + "morocco": 15228, + "moron": 31875, + "morons": 46477, + "morow": 40779, + "morph": 23915, + "morph": 41700, + "morphe": 38978, + "morpho": 38622, + "morrha": 43044, + "morri": 9876, + "morris": 22560, + "morris": 9090, + "morrison": 40961, + "morrison": 14094, + "morrisons": 40965, + "morrissey": 30040, + "morro": 48363, + "morrow": 21611, + "mors": 13064, + "morse": 25282, + "mort": 24257, + "mort": 30583, + "mortal": 31883, + "mortal": 14680, + "mortality": 20347, + "mortar": 27258, + "mortg": 12069, + "mortgage": 13988, + "mortgages": 45391, + "mortimer": 47836, + "morton": 20698, + "morty": 37391, + "mory": 22633, + "mos": 28658, + "mos": 9593, + "mosa": 14164, + "mosa": 23809, + "mosaic": 17506, + "mosch": 47003, + "mosco": 9840, + "moscow": 10371, + "moseley": 47080, + "moses": 18451, + "mosley": 46228, + "mosqu": 15215, + "mosque": 12694, + "mosques": 41214, + "mosquit": 39699, + "mosquito": 25083, + "mosquitoes": 41870, + "moss": 25107, + "moss": 12815, + "most": 7034, + "most": 1096, + "mostly": 8829, + "mosul": 29165, + "mot": 16352, + "mot": 15452, + "mota": 42499, + "motd": 46232, + "motel": 26191, + "moth": 33208, + "moth": 11736, + "mother": 7455, + "mother": 3050, + "motherhood": 32274, + "motherland": 46774, + "mothers": 10546, + "mothersday": 15583, + "motherwell": 48104, + "moths": 29086, + "moti": 38210, + "motif": 35373, + "motion": 32139, + "motion": 7860, + "motiv": 3183, + "motivate": 26771, + "motivated": 16521, + "motivates": 44684, + "motivating": 37720, + "motivation": 26117, + "motivation": 4193, + "motivational": 32832, + "motivational": 20472, + "motivationmonday": 28703, + "motive": 36669, + "motley": 42553, + "motm": 41192, + "moto": 10646, + "moto": 11431, + "motocross": 34562, + "motogp": 16615, + "motor": 3975, + "motor": 7659, + "motorbike": 33341, + "motorcycle": 10297, + "motorcycles": 24869, + "motoring": 44491, + "motorists": 32766, + "motorola": 33738, + "motors": 14989, + "motorsport": 18371, + "motorsports": 24264, + "motorway": 31808, + "motown": 32685, + "mott": 44570, + "mott": 21708, + "motto": 23338, + "mou": 2809, + "mou": 25289, + "moud": 37698, + "moul": 25725, + "mould": 36743, + "moulin": 47656, + "moun": 2023, + "mound": 21414, + "mount": 20553, + "mount": 5532, + "mountain": 14547, + "mountain": 3965, + "mountaine": 24841, + "mountaineer": 49255, + "mountains": 5873, + "mounted": 17897, + "mounting": 29910, + "mounts": 36767, + "mour": 9053, + "mour": 42446, + "moured": 29555, + "mourinho": 18536, + "mourn": 33592, + "mourning": 24169, + "mourns": 42811, + "mous": 24837, + "mous": 17425, + "mouse": 33032, + "mouse": 9301, + "mousse": 31869, + "moustache": 32795, + "mouth": 15152, + "mouth": 4932, + "mouths": 38518, + "mov": 23950, + "move": 16624, + "move": 2783, + "moved": 6997, + "movember": 23474, + "movement": 5208, + "movements": 19665, + "mover": 37673, + "movers": 33957, + "moves": 6880, + "movi": 1707, + "movic": 43838, + "movie": 11247, + "movie": 2016, + "movies": 4772, + "moving": 32160, + "moving": 3584, + "mow": 31006, + "mow": 36329, + "mower": 30895, + "mowing": 46424, + "mowx": 44263, + "moy": 27276, + "moy": 34205, + "moyes": 37119, + "moz": 14761, + "moz": 43738, + "mozam": 26648, + "mozambique": 28831, + "mozart": 22132, + "mozz": 26317, + "mozzarella": 27845, + "mp": 1037, + "mp": 1246, + "mpa": 30749, + "mpc": 38560, + "mpd": 33814, + "mped": 28134, + "mper": 22803, + "mpg": 39830, + "mpg": 37454, + "mpgvip": 42149, + "mph": 5306, + "mpi": 43263, + "mping": 27999, + "mple": 21139, + "mplo": 47071, + "mpls": 34298, + "mpo": 33674, + "mpp": 39570, + "mps": 5504, + "mption": 9717, + "mpton": 27448, + "mpu": 47156, + "mpus": 25864, + "mpy": 17192, + "mq": 19103, + "mqm": 24687, + "mr": 3139, + "mr": 1982, + "mra": 44568, + "mrc": 25897, + "mri": 24773, + "mrs": 25003, + "mrs": 4255, + "mrt": 30256, + "mru": 22370, + "mrw": 15303, + "ms": 3525, + "ms": 988, + "msa": 36306, + "msc": 31826, + "msc": 20529, + "msd": 25804, + "msd": 36407, + "msdhoni": 32850, + "msf": 36239, + "msg": 44430, + "msg": 10928, + "msh": 41751, + "msi": 43597, + "msi": 45278, + "msk": 38501, + "msl": 42736, + "msm": 22210, + "msn": 18824, + "msn": 41042, + "msnbc": 20245, + "mson": 27773, + "mson": 12298, + "msp": 41445, + "msp": 22318, + "mss": 42136, + "mss": 48610, + "mst": 26335, + "msu": 26763, + "msu": 17298, + "mswx": 42957, + "msy": 43919, + "mt": 4252, + "mt": 3284, + "mta": 28691, + "mtb": 48306, + "mtb": 18747, + "mtc": 42482, + "mtg": 49142, + "mtg": 13648, + "mth": 48151, + "mtl": 22135, + "mtn": 26041, + "mtn": 18953, + "mtr": 46650, + "mts": 38751, + "mtv": 8099, + "mtv": 12555, + "mtvbr": 47258, + "mtvhottest": 16751, + "mtvstars": 19948, + "mu": 670, + "mu": 6411, + "mua": 21395, + "muay": 44910, + "muaythai": 47763, + "mubarak": 17957, + "muc": 49115, + "much": 14300, + "much": 1238, + "mucha": 42191, + "muchas": 26278, + "mucho": 19864, + "muck": 44731, + "muck": 45330, + "mud": 17491, + "mud": 11673, + "mudder": 49104, + "muddy": 21524, + "mue": 44383, + "mue": 40717, + "mueller": 46863, + "mueller": 14719, + "muen": 48646, + "muer": 33840, + "muf": 33852, + "mufc": 9013, + "muffin": 22696, + "muffins": 25922, + "mufti": 44930, + "mug": 16339, + "mug": 9722, + "mugabe": 36441, + "mughal": 37508, + "mugs": 22852, + "mugshot": 40028, + "muh": 36335, + "muh": 46475, + "muham": 10043, + "muhammad": 12259, + "muir": 44650, + "muir": 24745, + "muj": 44635, + "muk": 17327, + "muk": 32600, + "mukher": 34575, + "mukherjee": 37862, + "mul": 1899, + "mul": 43193, + "mula": 40937, + "mulator": 17463, + "mulberry": 39221, + "mule": 28695, + "mull": 17313, + "mull": 35310, + "mulled": 44641, + "mullen": 30797, + "muller": 33956, + "mullet": 35010, + "mulligan": 44336, + "mullins": 41265, + "mult": 34219, + "multi": 3947, + "multi": 6400, + "multic": 21683, + "multicul": 28004, + "multicultural": 34667, + "multil": 27975, + "multimedia": 27977, + "multin": 38996, + "multinational": 46540, + "multip": 40314, + "multiplayer": 27460, + "multiple": 6470, + "multipurpose": 47665, + "multit": 27814, + "multitasking": 48684, + "mulus": 26180, + "mum": 15565, + "mum": 4030, + "mumb": 5850, + "mumbai": 24279, + "mumbai": 6971, + "mumford": 46184, + "mummy": 16301, + "mums": 17868, + "mun": 2617, + "mun": 21059, + "muna": 48424, + "munch": 23587, + "munch": 33299, + "munchies": 44324, + "munchkin": 41305, + "mund": 14244, + "mundo": 20990, + "muni": 27327, + "muni": 39795, + "munich": 13526, + "munici": 12159, + "municipal": 43667, + "municipal": 16600, + "municipality": 29987, + "munition": 32668, + "munro": 36501, + "munster": 27201, + "mup": 21966, + "muppet": 40598, + "muppets": 40187, + "mups": 42195, + "mur": 2144, + "mur": 18293, + "mura": 45176, + "mural": 12315, + "murals": 31499, + "murder": 28136, + "murder": 5787, + "murdered": 13158, + "murderer": 26956, + "murderers": 48472, + "murdering": 36055, + "murders": 22409, + "murdoch": 29037, + "murphy": 48976, + "murphy": 8914, + "murray": 31978, + "murray": 7513, + "murs": 38783, + "mus": 2198, + "mus": 8103, + "musa": 30540, + "musc": 5696, + "muscat": 33322, + "muscle": 27323, + "muscle": 9269, + "muscles": 16786, + "muscular": 30606, + "muse": 2369, + "muse": 15686, + "museo": 36457, + "muses": 48243, + "museu": 27087, + "museum": 15602, + "museum": 2786, + "museums": 15542, + "museumweek": 37996, + "mush": 7635, + "mushroom": 13011, + "mushrooms": 14730, + "musi": 15628, + "music": 4110, + "music": 1179, + "musica": 26668, + "musical": 36002, + "musical": 5173, + "musically": 48893, + "musicals": 36974, + "musichistory": 37890, + "musician": 11179, + "musicians": 12498, + "musicislife": 43311, + "musicmonday": 35887, + "musicvideo": 26764, + "musik": 32986, + "musings": 44961, + "musique": 42250, + "musk": 32143, + "musk": 19063, + "muskete": 32775, + "musketeers": 37993, + "musko": 34987, + "muskoka": 40832, + "musli": 4958, + "muslim": 43795, + "muslim": 7060, + "muslims": 10513, + "muss": 41493, + "mussels": 33393, + "must": 6783, + "must": 2048, + "mustache": 23451, + "mustaf": 23596, + "mustafa": 29000, + "mustang": 42361, + "mustang": 13309, + "mustangs": 22500, + "mustard": 15794, + "muster": 47361, + "mustread": 28978, + "mut": 12598, + "mut": 22839, + "mutant": 28384, + "mutation": 38626, + "mutations": 39651, + "mute": 31252, + "muted": 48028, + "muth": 34280, + "mutil": 39950, + "mutt": 45924, + "mutu": 17574, + "mutual": 15055, + "mutuals": 31158, + "muy": 44625, + "mv": 10580, + "mv": 8269, + "mvc": 40549, + "mvp": 8905, + "mw": 16725, + "mw": 11206, + "mwc": 24289, + "mwf": 48565, + "mx": 21947, + "mx": 9575, + "my": 1152, + "my": 607, + "mya": 31401, + "myal": 42735, + "myan": 13761, + "myanmar": 14764, + "myart": 38826, + "myco": 48362, + "mydayin": 41896, + "mydayinla": 42801, + "mydubai": 43475, + "mye": 27551, + "myel": 40084, + "myers": 15993, + "myjaps": 47939, + "myle": 43700, + "myles": 25511, + "mylife": 30537, + "mylittle": 37757, + "mylittlepony": 45107, + "myo": 16206, + "myr": 20272, + "myra": 35694, + "myri": 34972, + "myrt": 47785, + "myrtle": 27768, + "mys": 11724, + "myself": 3245, + "mysore": 44924, + "myspace": 41382, + "myster": 4669, + "mysteries": 20605, + "mysterious": 12650, + "mystery": 39828, + "mystery": 6711, + "mysti": 28711, + "mystic": 36264, + "mystic": 23722, + "mystical": 34122, + "myth": 20322, + "myth": 13878, + "mythical": 34377, + "mytho": 43857, + "mythology": 22496, + "myths": 18675, + "mz": 29509, + "mz": 33400, + "mzan": 36322, + "mzansi": 43301, + "má": 36842, + "mé": 21890, + "méxico": 46159, + "mü": 28142, + "mün": 41235, + "n": 77, + "n": 333, + "na": 1097, + "na": 1272, + "naa": 37738, + "naacp": 32176, + "nab": 6951, + "nab": 19440, + "nabe": 35111, + "naby": 24800, + "nac": 14557, + "nac": 18950, + "nach": 12168, + "nach": 43622, + "nacho": 35647, + "nachos": 32847, + "nacht": 37261, + "nacional": 38782, + "nad": 6204, + "nad": 43928, + "nada": 31683, + "nadal": 20814, + "nade": 24908, + "nadi": 30512, + "nadia": 27487, + "nadine": 23356, + "nadu": 20936, + "nae": 19374, + "naf": 16161, + "naf": 45956, + "nafta": 43123, + "nag": 6694, + "nag": 23902, + "naga": 45953, + "naga": 38997, + "nagar": 17490, + "nage": 41219, + "nago": 38349, + "nagoya": 43303, + "nagpur": 43328, + "nah": 26421, + "nah": 11129, + "nahi": 35244, + "nai": 6230, + "nai": 10692, + "naia": 31340, + "naidu": 42429, + "naija": 16326, + "naik": 34424, + "nail": 19459, + "nail": 9059, + "nailart": 43532, + "nailed": 19035, + "nails": 8469, + "nair": 27107, + "naira": 39450, + "naire": 48892, + "nairobi": 17756, + "nais": 46396, + "naissance": 44761, + "naive": 43362, + "naj": 30985, + "naji": 32589, + "nak": 9248, + "nak": 25550, + "naked": 46371, + "naked": 11478, + "naku": 39864, + "nal": 14132, + "nal": 3119, + "nale": 27198, + "nall": 32869, + "nally": 26158, + "nam": 1410, + "nam": 12344, + "nama": 39586, + "naman": 27635, + "namaste": 35549, + "name": 18160, + "name": 1981, + "named": 3194, + "nameis": 40831, + "nament": 3916, + "naments": 16540, + "names": 6130, + "namesake": 41298, + "nami": 20393, + "namibia": 23731, + "naming": 19367, + "namjoon": 31986, + "namm": 35524, + "namo": 46013, + "namo": 24854, + "nan": 4375, + "nan": 7750, + "nana": 18761, + "nanaimo": 40518, + "nancy": 21511, + "nancy": 11425, + "nand": 20435, + "nandez": 12764, + "nando": 46044, + "nang": 48148, + "nani": 27980, + "nanny": 31104, + "nano": 15835, + "nano": 22006, + "nanop": 34177, + "nanotechnology": 42235, + "nanow": 46734, + "nant": 22526, + "nantes": 47533, + "nantucket": 41573, + "nao": 39319, + "naom": 34955, + "naomi": 20173, + "nap": 6568, + "nap": 11012, + "napa": 20545, + "napier": 40875, + "napkin": 38930, + "naples": 23560, + "napo": 18715, + "napol": 20122, + "napoleon": 24969, + "napoli": 22445, + "napp": 11359, + "napping": 37657, + "naps": 31317, + "naq": 46453, + "nar": 2977, + "nar": 20145, + "nara": 33823, + "narcis": 25229, + "narcissi": 35442, + "narco": 38461, + "nard": 18216, + "nare": 34853, + "naren": 8468, + "narendr": 9807, + "narendra": 25848, + "narendramodi": 9853, + "narnia": 48693, + "narr": 11845, + "narrated": 43609, + "narrative": 15933, + "narratives": 35117, + "narrator": 46529, + "narrow": 24006, + "narrow": 16652, + "narrowly": 29747, + "naruto": 22732, + "nas": 3090, + "nas": 15250, + "nasa": 6841, + "nasal": 42853, + "nascar": 25723, + "nascar": 7868, + "nasdaq": 26629, + "nash": 6771, + "nash": 13620, + "nasheed": 49176, + "nashgrier": 33372, + "nashville": 45356, + "nashville": 8585, + "nasi": 47987, + "nasir": 47509, + "nassau": 34048, + "nasser": 43559, + "nasty": 32930, + "nasty": 8709, + "nat": 1276, + "nat": 11310, + "nata": 39392, + "natal": 28516, + "natali": 20296, + "natalia": 32978, + "natalie": 36634, + "natalie": 13595, + "natash": 48701, + "natasha": 23093, + "nate": 26643, + "nate": 7587, + "natgeo": 33009, + "natgeo": 25046, + "nath": 22203, + "nath": 19843, + "nathan": 13028, + "nathan": 9711, + "nathanfillion": 47422, + "nathaniel": 32667, + "nati": 1060, + "nati": 13384, + "natic": 44944, + "natin": 44358, + "nation": 2317, + "nation": 2670, + "national": 3126, + "national": 1362, + "nationalbestfriend": 42222, + "nationaldogday": 32227, + "nationalism": 29867, + "nationalist": 25058, + "nationality": 44451, + "nationally": 15130, + "nationalpark": 33060, + "nationalparks": 41204, + "nationals": 10784, + "nationaltrust": 34051, + "nations": 7654, + "nationwide": 13795, + "native": 20639, + "native": 4562, + "natives": 36060, + "nativity": 33988, + "natl": 39225, + "natl": 34465, + "nato": 13139, + "nats": 21106, + "natu": 2775, + "natur": 6800, + "natural": 13198, + "natural": 3288, + "naturally": 12995, + "naturals": 44686, + "nature": 9382, + "nature": 2625, + "naturelovers": 41514, + "naturephotography": 22533, + "natures": 15616, + "natureuk": 46193, + "nau": 5955, + "nau": 32878, + "naught": 41001, + "naughty": 47255, + "naughty": 15101, + "nautical": 31660, + "nav": 3413, + "nav": 25308, + "navajo": 35523, + "naval": 44725, + "naval": 13273, + "navar": 24848, + "navarro": 37104, + "nave": 42704, + "naveen": 43837, + "naver": 32534, + "navi": 16159, + "navi": 44848, + "navig": 12507, + "navigate": 24400, + "navigating": 33134, + "navigation": 20148, + "navigator": 38910, + "navis": 36377, + "navratri": 45428, + "navy": 28414, + "navy": 5598, + "naw": 16259, + "naw": 30500, + "nawaz": 49161, + "nawaz": 19523, + "nax": 38299, + "nay": 11704, + "nay": 16182, + "naya": 38917, + "nayanth": 38157, + "nayanthara": 45184, + "naz": 6363, + "naz": 35534, + "nazi": 12972, + "nazis": 21778, + "nb": 6459, + "nb": 6813, + "nba": 22524, + "nba": 5139, + "nbad": 43458, + "nbaf": 30127, + "nbafinals": 33803, + "nbap": 41956, + "nbaplayoffs": 43860, + "nbat": 46291, + "nbc": 9352, + "nbc": 8799, + "nbd": 24526, + "nbl": 42652, + "nc": 5021, + "nc": 4911, + "nca": 6921, + "ncaa": 9418, + "ncbd": 47221, + "ncc": 33195, + "ncc": 36686, + "ncds": 47573, + "ncfc": 31274, + "ncis": 33617, + "ncpol": 40562, + "ncr": 38474, + "ncs": 42689, + "nct": 27723, + "nct": 20319, + "ncwx": 36166, + "nd": 5625, + "nd": 1764, + "nda": 32862, + "ndc": 47564, + "ndi": 48229, + "ndp": 19257, + "nds": 31347, + "ndtv": 26261, + "ne": 557, + "ne": 1422, + "nea": 24068, + "neal": 33652, + "neal": 16730, + "near": 11296, + "near": 2252, + "nearby": 13314, + "nearest": 18985, + "nearing": 26571, + "nearly": 4816, + "nears": 37710, + "neat": 43201, + "neat": 15465, + "neath": 18315, + "neau": 31559, + "neb": 40209, + "nebra": 13371, + "nebraska": 14565, + "nebu": 49295, + "nebula": 22532, + "nec": 25109, + "nec": 22992, + "necess": 6961, + "necessarily": 25853, + "necessary": 8955, + "necessities": 43483, + "necessity": 33163, + "neck": 6066, + "neck": 6906, + "necklace": 7385, + "necklaces": 32276, + "necks": 29701, + "nectar": 33683, + "ned": 16030, + "ned": 1369, + "nederland": 49058, + "nee": 20494, + "nee": 10601, + "need": 3229, + "need": 1262, + "needed": 4049, + "needing": 22894, + "needle": 44490, + "needle": 19886, + "needles": 27250, + "needless": 39984, + "needs": 2536, + "needy": 30150, + "neel": 33092, + "neel": 46043, + "neer": 34245, + "nees": 47248, + "neet": 46362, + "neg": 5513, + "negan": 42623, + "negative": 8869, + "negatively": 40254, + "negativity": 34658, + "neglec": 18827, + "neglect": 33680, + "neglected": 31893, + "negli": 32594, + "negligence": 45658, + "negoti": 10216, + "negotiate": 32969, + "negotiating": 35510, + "negotiation": 36504, + "negotiations": 20433, + "negr": 42190, + "negro": 26554, + "neh": 40416, + "neh": 41697, + "neha": 44463, + "nehru": 30316, + "nei": 9366, + "neigh": 4061, + "neighb": 6534, + "neighbor": 7759, + "neighbor": 14485, + "neighborhood": 9471, + "neighborhoods": 26713, + "neighboring": 44754, + "neighbors": 13037, + "neighbour": 15858, + "neighbour": 23719, + "neighbourhood": 20312, + "neighbours": 17594, + "neil": 13591, + "neil": 8030, + "neilhimself": 45682, + "neill": 19324, + "neither": 14398, + "nek": 47727, + "neko": 47066, + "nel": 5476, + "nel": 2693, + "nell": 27081, + "nell": 8117, + "nelly": 21166, + "nels": 19296, + "nelson": 24774, + "nelson": 8586, + "nem": 45153, + "neman": 48553, + "neme": 30993, + "nemesis": 37811, + "nemo": 30441, + "nen": 17817, + "nen": 15451, + "nene": 44167, + "neo": 14562, + "neo": 11017, + "neon": 21043, + "neon": 13919, + "neonatal": 46464, + "neop": 49069, + "nep": 20739, + "nep": 41960, + "nepal": 25597, + "nepal": 10066, + "nepali": 47579, + "neph": 27926, + "nephe": 41810, + "nephew": 11689, + "nephews": 43747, + "nephro": 43054, + "neptune": 30566, + "ner": 2064, + "ner": 998, + "nerd": 24452, + "nerd": 12273, + "nerds": 22609, + "nerdy": 33124, + "nered": 17583, + "nerf": 42914, + "nering": 20226, + "nero": 29048, + "ners": 2129, + "nerve": 18571, + "nerves": 27813, + "nervous": 13928, + "nery": 48597, + "nes": 5457, + "nes": 4980, + "nesburg": 27159, + "nese": 32220, + "ness": 7187, + "ness": 1294, + "nesses": 20107, + "nessy": 32939, + "nest": 20302, + "nest": 8719, + "nesting": 28860, + "nestle": 43967, + "nestled": 38107, + "nests": 41133, + "net": 1851, + "net": 2315, + "netany": 23137, + "netanyahu": 23583, + "netball": 19761, + "netes": 44335, + "netfli": 6304, + "netflix": 35325, + "netflix": 6600, + "nether": 9946, + "netherlands": 11060, + "neti": 43980, + "netneutrality": 47794, + "nets": 8582, + "nett": 23403, + "nett": 6975, + "nette": 13271, + "network": 23285, + "network": 3304, + "networking": 9818, + "networks": 10004, + "neu": 3855, + "neu": 43342, + "neue": 45764, + "neur": 19001, + "neur": 31976, + "neural": 26388, + "neuro": 7401, + "neuro": 36000, + "neurological": 41718, + "neurology": 43197, + "neurons": 40442, + "neuroscience": 23381, + "neutr": 17207, + "neutral": 17011, + "neutrality": 26511, + "neutron": 44056, + "nev": 10236, + "nev": 43645, + "neva": 43304, + "nevada": 13499, + "neve": 44099, + "neve": 44023, + "never": 6746, + "never": 1426, + "neveragain": 45053, + "neverforget": 19242, + "nevergiveup": 42497, + "neverland": 41483, + "nevertheless": 48355, + "nevertrump": 47494, + "neville": 19269, + "nevis": 43670, + "new": 1218, + "new": 686, + "newark": 20240, + "newbie": 45427, + "newborn": 18320, + "newbury": 34169, + "newcastle": 41955, + "newcastle": 9302, + "newcomer": 30648, + "newcomers": 44037, + "newe": 40068, + "newell": 41436, + "newer": 33099, + "newest": 4990, + "newfound": 25250, + "newfoundland": 28079, + "newh": 18546, + "newin": 31911, + "newjersey": 32621, + "newly": 42186, + "newly": 7056, + "newman": 15815, + "newmarket": 38617, + "newmexico": 35238, + "newmusic": 32510, + "newmusic": 17201, + "newor": 25969, + "neworleans": 31205, + "newport": 42580, + "newport": 14846, + "newprofile": 14633, + "newprofilepic": 14754, + "newrelease": 34793, + "news": 6216, + "news": 1120, + "newsat": 43979, + "newsc": 28656, + "newscast": 45031, + "newsle": 10727, + "newsletter": 11069, + "newsnow": 48650, + "newsp": 7109, + "newspaper": 8786, + "newspapers": 22423, + "newsroom": 23200, + "newt": 37224, + "newton": 33122, + "newton": 12606, + "newtown": 31747, + "newyear": 22161, + "newyear": 12999, + "newyearseve": 37587, + "newyork": 18140, + "newyork": 10454, + "newyorkcity": 30460, + "newyorker": 39732, + "newzealand": 21117, + "nex": 6897, + "nex": 39720, + "next": 12434, + "next": 1131, + "nextgen": 41933, + "nexus": 19053, + "ney": 3857, + "ney": 1438, + "neymar": 21878, + "neys": 12616, + "nez": 27388, + "nf": 15195, + "nf": 25643, + "nfamily": 20098, + "nfc": 23695, + "nffc": 27893, + "nfl": 11219, + "nfl": 4691, + "nfldraft": 25002, + "ng": 10352, + "ng": 5215, + "nga": 35477, + "ngc": 29046, + "ngo": 38740, + "ngo": 24821, + "ngos": 34627, + "nguyen": 29947, + "nh": 3760, + "nh": 10803, + "nhc": 44817, + "nhl": 12290, + "nhl": 8167, + "nhlbruins": 39081, + "nhljets": 49357, + "nhm": 39483, + "nhpolitics": 36125, + "nhq": 42368, + "nhra": 30052, + "nhs": 23282, + "nhs": 7695, + "ni": 697, + "ni": 3256, + "nia": 3098, + "niag": 18071, + "niagar": 39298, + "niagara": 18965, + "niall": 41354, + "niall": 8327, + "niallo": 22855, + "niallofficial": 23084, + "niam": 39347, + "nian": 46003, + "nib": 31049, + "nic": 2109, + "nic": 6651, + "nica": 29040, + "nicar": 25119, + "nicaragua": 28423, + "nice": 28386, + "nice": 1805, + "nicely": 12303, + "nicer": 29488, + "nicest": 22967, + "niche": 25279, + "nichol": 7668, + "nicholas": 39814, + "nicholas": 13148, + "nicholls": 38846, + "nichols": 22730, + "nicholson": 28745, + "nick": 4209, + "nick": 4253, + "nickel": 22034, + "nickelo": 28668, + "nickelodeon": 33279, + "nicki": 17738, + "nickimin": 27390, + "nickiminaj": 27593, + "nickjonas": 43862, + "nickname": 24731, + "nicknamed": 45190, + "nicks": 15049, + "nicky": 28893, + "nicky": 22091, + "nico": 20850, + "nico": 17779, + "nicol": 9919, + "nicol": 48274, + "nicola": 21791, + "nicolas": 43813, + "nicolas": 18918, + "nicole": 21246, + "nicole": 10000, + "nicot": 45099, + "nicotine": 46697, + "nie": 9524, + "nie": 3501, + "niece": 12795, + "nieces": 44877, + "niel": 19109, + "niel": 26837, + "niels": 37154, + "nielsen": 28372, + "nier": 13014, + "nies": 10586, + "niest": 15007, + "nieu": 29781, + "nific": 4748, + "nifty": 25604, + "nig": 27933, + "nig": 28099, + "nigan": 48516, + "nigel": 33919, + "nigel": 15153, + "niger": 4524, + "niger": 29920, + "nigeri": 40913, + "nigeria": 6106, + "nigerian": 12167, + "nigerians": 25358, + "nigh": 13525, + "nigh": 48157, + "night": 3870, + "night": 930, + "nightclub": 20418, + "nighter": 41349, + "nighting": 36211, + "nightingale": 40696, + "nightlife": 28823, + "nightly": 28868, + "nightmare": 12867, + "nightmares": 24032, + "nightout": 44257, + "nights": 4296, + "nighttime": 38147, + "nightw": 39956, + "nih": 25783, + "nik": 5126, + "nik": 13705, + "nike": 16300, + "nike": 5783, + "nikeplus": 43154, + "niki": 36136, + "nikita": 37118, + "nikk": 38596, + "nikki": 23156, + "nikki": 16689, + "niko": 43771, + "nikol": 27430, + "nikola": 42146, + "nikon": 25488, + "nikon": 13849, + "nikov": 43960, + "nil": 16852, + "nil": 35030, + "nile": 24252, + "nim": 30402, + "nim": 42093, + "nima": 42586, + "nin": 5794, + "nin": 14145, + "nina": 13891, + "nine": 16213, + "nine": 7330, + "ninety": 48214, + "ning": 6050, + "ning": 762, + "ningham": 23395, + "ningly": 43537, + "nings": 4588, + "nington": 26214, + "ninj": 23225, + "ninja": 11969, + "ninjas": 42796, + "nino": 25633, + "ninten": 6184, + "nintendo": 13969, + "nintendo": 7886, + "nintendoswitch": 16404, + "ninth": 22770, + "nip": 33889, + "nip": 22333, + "nipp": 24634, + "nipple": 45987, + "nipples": 44774, + "nippon": 47960, + "nips": 49241, + "nir": 15503, + "nir": 40057, + "nireland": 45763, + "niro": 47373, + "nirvana": 28300, + "nis": 5609, + "nis": 3786, + "nish": 19834, + "nish": 13256, + "nished": 24141, + "nishi": 32386, + "nishings": 49247, + "nison": 45700, + "niss": 39043, + "nissan": 37635, + "nissan": 11082, + "nist": 17782, + "nister": 36640, + "nit": 4087, + "nit": 19011, + "nite": 8427, + "niti": 43964, + "niti": 45355, + "nitin": 37529, + "nitro": 30726, + "nitrogen": 30706, + "niture": 7840, + "nity": 12707, + "niu": 48187, + "niv": 47300, + "niversary": 29643, + "nix": 48552, + "nix": 32278, + "nixon": 20671, + "nj": 8343, + "nj": 6672, + "njcaa": 48992, + "njpw": 38992, + "nk": 22708, + "nk": 17456, + "nko": 36353, + "nl": 12057, + "nl": 7655, + "nli": 37502, + "nlp": 35680, + "nlwx": 49260, + "nm": 15956, + "nm": 11370, + "nmd": 43331, + "nme": 40454, + "nmwx": 47967, + "nn": 8947, + "nn": 12925, + "nnn": 26277, + "nnnn": 41420, + "no": 578, + "no": 871, + "noaa": 27557, + "noah": 28806, + "noah": 11519, + "nobel": 33742, + "nobel": 15605, + "nobelprize": 46074, + "noble": 29430, + "noble": 12051, + "nobody": 7009, + "noc": 16988, + "noc": 44420, + "nocchi": 46359, + "noch": 38672, + "noche": 29689, + "noches": 44166, + "nock": 16993, + "noctur": 26291, + "nocturnal": 41738, + "nod": 18648, + "nodapl": 39079, + "node": 31434, + "node": 24871, + "nodejs": 39262, + "nodes": 40534, + "noel": 38406, + "noel": 17496, + "nof": 29505, + "noff": 46979, + "nofilter": 16418, + "nog": 31157, + "noh": 40775, + "noi": 43115, + "noi": 39889, + "noida": 33404, + "noir": 39291, + "noir": 12953, + "nois": 22057, + "noise": 41018, + "noise": 9307, + "noises": 31575, + "noisse": 45686, + "noisy": 33495, + "nokia": 17731, + "nol": 8055, + "nola": 13289, + "nolan": 17323, + "nold": 40322, + "nole": 34654, + "noles": 40569, + "nollywood": 43145, + "nology": 42221, + "nom": 2981, + "nom": 12799, + "nomad": 27849, + "noman": 45592, + "nomin": 5643, + "nominate": 17122, + "nominated": 8710, + "nominating": 45747, + "nomination": 14136, + "nominations": 17124, + "nominee": 14122, + "nominees": 17873, + "nomnom": 26962, + "nomore": 35126, + "noms": 35706, + "non": 4282, + "non": 3353, + "none": 29644, + "none": 8906, + "nonetheless": 39675, + "nonfiction": 31654, + "nonprofit": 19315, + "nonprofits": 37935, + "nonsense": 19136, + "nonstop": 30300, + "nont": 25207, + "noo": 6759, + "noo": 46672, + "noodle": 19521, + "noodles": 15782, + "nook": 30088, + "noon": 37693, + "noon": 2347, + "noor": 46978, + "noor": 31323, + "nope": 15625, + "nor": 1062, + "nor": 6190, + "nora": 25890, + "norcal": 41970, + "nord": 19261, + "nord": 36067, + "nordic": 36439, + "nordic": 20734, + "nordstrom": 38562, + "norfolk": 30232, + "norfolk": 12202, + "norm": 10990, + "norm": 22457, + "norma": 35757, + "normal": 28748, + "normal": 5967, + "normali": 45157, + "normally": 15870, + "norman": 22027, + "norman": 11338, + "normandy": 23840, + "normani": 44596, + "norms": 33011, + "norris": 21814, + "norse": 36559, + "norte": 35638, + "north": 3468, + "north": 2188, + "northampton": 49246, + "northampton": 26175, + "northan": 37081, + "northbound": 24228, + "northcarolina": 43386, + "northe": 24675, + "northeast": 42673, + "northeast": 13009, + "northeastern": 28297, + "northeasthour": 42869, + "norther": 26908, + "northern": 17210, + "northern": 5049, + "northernlights": 48940, + "northkorea": 38495, + "northside": 45957, + "northumber": 22295, + "northumberland": 22922, + "northwales": 49371, + "northwest": 12894, + "northwestern": 23685, + "norton": 18032, + "norway": 8780, + "norwe": 14414, + "norwegian": 15971, + "norwich": 37629, + "norwich": 15812, + "norwood": 37889, + "nos": 13420, + "nose": 24192, + "nose": 8231, + "noses": 48163, + "nostal": 12076, + "nostalgia": 16622, + "nostalgic": 24468, + "not": 2534, + "not": 783, + "notable": 22023, + "notch": 19476, + "notdead": 42059, + "note": 10910, + "note": 3246, + "notebook": 16365, + "notebooks": 37623, + "noted": 22501, + "notes": 5795, + "nothin": 24291, + "nothing": 28412, + "nothing": 2586, + "noti": 10686, + "notic": 6915, + "notice": 6683, + "noticeable": 40857, + "noticed": 9324, + "notices": 33459, + "noticias": 47759, + "noticing": 37571, + "notification": 22512, + "notifications": 23169, + "notified": 39454, + "noting": 38649, + "notion": 37856, + "notjust": 33212, + "notjustlakes": 45803, + "notmy": 39301, + "noto": 29878, + "noton": 48258, + "notor": 21711, + "notori": 44065, + "notorious": 22489, + "notre": 24397, + "notre": 15306, + "notredame": 34077, + "notsorry": 34361, + "nott": 9333, + "nott": 34989, + "notte": 47308, + "nottingham": 12852, + "notts": 25598, + "nou": 8751, + "nou": 30953, + "noun": 33663, + "nouri": 23796, + "nourish": 46025, + "nourished": 48354, + "nous": 29485, + "nouveau": 29948, + "nouvel": 34215, + "nov": 2264, + "nov": 4293, + "nova": 11236, + "novak": 26465, + "novasco": 33785, + "novascotia": 34744, + "novation": 39753, + "nove": 30507, + "novel": 15044, + "novel": 6080, + "novelist": 27314, + "novella": 42770, + "novels": 16040, + "novelty": 37750, + "november": 3680, + "nover": 37465, + "novi": 47957, + "novice": 33743, + "novo": 27504, + "novo": 36581, + "now": 2040, + "now": 692, + "nowadays": 26155, + "nowhere": 14108, + "nowplaying": 3708, + "nowwatching": 30852, + "nox": 27406, + "noxi": 39304, + "noxious": 42833, + "noy": 32787, + "np": 18205, + "np": 6314, + "npa": 42378, + "npc": 33966, + "npr": 39941, + "npr": 24078, + "nps": 22025, + "npt": 47231, + "nr": 6574, + "nr": 9713, + "nra": 17286, + "nrc": 45786, + "nrf": 47982, + "nrg": 48662, + "nrl": 27142, + "nrl": 18127, + "ns": 12405, + "ns": 1373, + "nsa": 23004, + "nsc": 32792, + "nsd": 36659, + "nsf": 34180, + "nsfw": 19847, + "nsi": 47824, + "nsw": 21301, + "nsw": 11693, + "nswpol": 44434, + "nt": 10902, + "nt": 3207, + "ntr": 30845, + "nts": 43775, + "ntt": 22859, + "ntv": 24807, + "ntv": 45304, + "nu": 1156, + "nu": 9444, + "nucle": 25693, + "nuclear": 34136, + "nuclear": 7279, + "nude": 16630, + "nudes": 32122, + "nue": 22834, + "nuestra": 45649, + "nuestro": 38590, + "nuev": 47861, + "nueva": 48810, + "nuevo": 30265, + "nufc": 15720, + "nuff": 37324, + "nug": 13471, + "nugent": 47457, + "nugget": 25448, + "nuggets": 18970, + "nuh": 45950, + "nuit": 38815, + "nuk": 39228, + "nuke": 39399, + "nul": 29358, + "null": 47376, + "num": 17896, + "num": 30534, + "numb": 34639, + "numb": 39427, + "number": 44078, + "number": 2842, + "numbered": 25975, + "numbers": 6121, + "numer": 11442, + "numerous": 17082, + "numis": 39100, + "nun": 12511, + "nun": 28540, + "nunavut": 48626, + "nunes": 40697, + "nuns": 44061, + "nup": 46757, + "nur": 3920, + "nur": 33493, + "nure": 42480, + "nurse": 37547, + "nurse": 10058, + "nursery": 15540, + "nurses": 12938, + "nursing": 11126, + "nurture": 38865, + "nurturing": 45229, + "nus": 25157, + "nus": 18239, + "nut": 10358, + "nut": 6491, + "nutcracker": 36733, + "nutella": 27312, + "nutr": 6198, + "nutri": 15470, + "nutrient": 32900, + "nutrients": 24668, + "nutriti": 17978, + "nutrition": 41546, + "nutrition": 7989, + "nutritional": 26457, + "nutritious": 30387, + "nuts": 8644, + "nutshell": 26659, + "nutty": 39846, + "nv": 17217, + "nv": 16985, + "nvi": 22847, + "nvidia": 27325, + "nw": 7826, + "nw": 7030, + "nwa": 34237, + "nwo": 40976, + "nws": 23333, + "nws": 30998, + "nwsl": 48394, + "nwt": 25029, + "nx": 18810, + "nx": 16997, + "nxt": 35037, + "nxt": 17804, + "ny": 1383, + "ny": 1350, + "nya": 24165, + "nyc": 13304, + "nyc": 2832, + "nycc": 27187, + "nycfc": 47497, + "nye": 40723, + "nye": 13416, + "nyfw": 21089, + "nyk": 46841, + "nylon": 25915, + "nyo": 41534, + "nyo": 44586, + "nypd": 42293, + "nypd": 18279, + "nyr": 32538, + "nyrd": 47936, + "nys": 36375, + "nys": 23423, + "nyse": 32650, + "nyt": 46311, + "nyt": 12816, + "nytimes": 13772, + "nyu": 43143, + "nyu": 31355, + "nz": 10142, + "nz": 7082, + "o": 78, + "o": 334, + "oa": 11994, + "oahu": 37790, + "oak": 6010, + "oak": 7221, + "oakland": 42663, + "oakland": 12077, + "oakley": 27810, + "oaks": 16734, + "oakville": 38500, + "oasis": 18185, + "oat": 20095, + "oat": 34132, + "oates": 47094, + "oath": 20108, + "oatmeal": 26374, + "oats": 24150, + "oax": 43090, + "oaxaca": 47818, + "ob": 1411, + "ob": 14908, + "oba": 42902, + "oba": 15147, + "obam": 13174, + "obama": 4276, + "obamacare": 18005, + "obe": 11897, + "obe": 29117, + "obedience": 48921, + "ober": 15284, + "obese": 41757, + "obesity": 19499, + "obey": 26926, + "obi": 21454, + "obi": 18414, + "obile": 20513, + "obitu": 39218, + "obituary": 43580, + "objec": 7970, + "object": 14115, + "objective": 23663, + "objectives": 30238, + "objects": 13770, + "obl": 31452, + "oblast": 42672, + "obli": 11416, + "obligation": 34473, + "obligations": 38232, + "obligatory": 35020, + "oblivion": 45323, + "obo": 46001, + "obo": 26618, + "obrien": 31946, + "obs": 39162, + "obsc": 20392, + "obscure": 33337, + "obse": 8433, + "observ": 9050, + "observation": 20250, + "observations": 27409, + "observatory": 21236, + "observe": 23217, + "observed": 21267, + "observer": 22077, + "observers": 47544, + "observing": 28359, + "obsessed": 9744, + "obsession": 15718, + "obsi": 47323, + "obsole": 35561, + "obsolete": 40628, + "obst": 29398, + "obstac": 24075, + "obstacle": 29751, + "obstacles": 24480, + "obste": 49103, + "obstru": 44876, + "obstruc": 38762, + "obstruction": 40240, + "obtain": 26555, + "obtained": 29322, + "obvious": 13959, + "obviously": 10068, + "oc": 1566, + "oc": 6603, + "oca": 31120, + "ocal": 38148, + "occ": 43940, + "occa": 8530, + "occasion": 12280, + "occasional": 33059, + "occasionally": 32479, + "occasions": 26154, + "occer": 20804, + "occi": 42994, + "occu": 7863, + "occult": 42529, + "occup": 11152, + "occupation": 18624, + "occupational": 30644, + "occupied": 17271, + "occupy": 22453, + "occupy": 24210, + "occur": 11264, + "occur": 21813, + "occurred": 19850, + "occurrence": 40615, + "occurring": 31335, + "occurs": 26563, + "ocd": 35904, + "oce": 3509, + "ocean": 12941, + "ocean": 4918, + "oceans": 16792, + "och": 29334, + "och": 32011, + "oche": 33045, + "oci": 9891, + "ocity": 46039, + "ock": 33579, + "ock": 21313, + "ocks": 22410, + "oclock": 36274, + "oco": 32553, + "ocon": 33090, + "ocr": 45813, + "ocre": 40320, + "ocs": 27297, + "oct": 4565, + "octa": 23444, + "octag": 37768, + "octagon": 49167, + "octane": 43040, + "octavia": 47416, + "octo": 31032, + "october": 3481, + "octopus": 22327, + "ocu": 22709, + "oculus": 30082, + "od": 4886, + "od": 9719, + "oda": 24777, + "oday": 41954, + "odd": 15525, + "odd": 11387, + "oddly": 34213, + "odds": 11555, + "ode": 19125, + "ode": 19639, + "odell": 41556, + "odessa": 43574, + "odi": 12223, + "odi": 18853, + "odin": 35175, + "odisha": 15737, + "odo": 49188, + "odo": 40993, + "odor": 39509, + "odu": 35095, + "odu": 39904, + "odyssey": 19991, + "oe": 24251, + "oe": 11667, + "oec": 24288, + "oecd": 30816, + "oem": 29650, + "oes": 3643, + "of": 684, + "of": 539, + "ofa": 29774, + "ofc": 19877, + "ofe": 30000, + "ofer": 47322, + "off": 892, + "off": 1007, + "offe": 8261, + "offee": 34059, + "offen": 7231, + "offence": 34594, + "offences": 33972, + "offended": 30765, + "offender": 48294, + "offenders": 35878, + "offense": 15253, + "offensive": 11037, + "offer": 20607, + "offer": 3271, + "offered": 9395, + "offering": 6896, + "offerings": 24535, + "offers": 4679, + "offic": 3276, + "office": 18033, + "office": 2171, + "officeof": 38750, + "officeofrg": 47100, + "officer": 4683, + "officers": 6335, + "offices": 10933, + "offici": 1401, + "official": 5768, + "official": 1868, + "officially": 4226, + "officials": 7658, + "officiel": 26548, + "offl": 16851, + "offline": 22724, + "offro": 32198, + "offroad": 37173, + "offs": 23987, + "offseason": 25485, + "offset": 28843, + "offshore": 15496, + "offside": 49347, + "offspring": 38635, + "offthe": 38189, + "ofi": 36692, + "ofi": 49090, + "oficial": 18061, + "oft": 16693, + "oftball": 39768, + "often": 4864, + "ofthe": 7592, + "oftheday": 6988, + "oftheweek": 20654, + "oftheyear": 33975, + "og": 11542, + "og": 8555, + "oga": 47312, + "ogden": 42011, + "ogil": 39013, + "ography": 22399, + "ogue": 24761, + "ogun": 48970, + "oh": 5648, + "oh": 1779, + "ohana": 48330, + "ohh": 23076, + "ohhh": 27697, + "ohhhh": 40201, + "ohi": 5207, + "ohio": 18951, + "ohio": 6155, + "ohiostate": 41324, + "ohl": 45547, + "ohl": 41095, + "ohmy": 29758, + "ohn": 48043, + "ohs": 39542, + "ohwx": 47993, + "oi": 27357, + "oi": 13934, + "oic": 45554, + "oid": 14758, + "oids": 21847, + "oil": 11973, + "oil": 2870, + "oiland": 32316, + "oilandgas": 34130, + "oilers": 21627, + "oilpainting": 34279, + "oils": 17886, + "oily": 47550, + "oir": 48079, + "oir": 37113, + "ois": 23262, + "oit": 18453, + "oitnb": 34865, + "oj": 30986, + "oj": 34553, + "ok": 1944, + "ok": 2481, + "oka": 42258, + "oka": 19092, + "okan": 41263, + "okanagan": 43233, + "okay": 4917, + "okc": 42418, + "okc": 18357, + "oke": 26636, + "oke": 23598, + "oki": 20390, + "okin": 30687, + "okinawa": 35877, + "okla": 9431, + "oklahoma": 10170, + "oko": 26892, + "oko": 26095, + "okstate": 36356, + "oktoberfest": 32026, + "oku": 45010, + "oku": 43829, + "okwx": 27336, + "ol": 562, + "ol": 2985, + "ola": 20499, + "ola": 3373, + "olaf": 39709, + "olan": 48489, + "olan": 24227, + "oland": 26452, + "olas": 40800, + "old": 4931, + "old": 896, + "olde": 37731, + "older": 7700, + "oldest": 9285, + "oldham": 29929, + "oldie": 35280, + "oldies": 36278, + "oldman": 48614, + "olds": 8580, + "oldschool": 44384, + "oldschool": 25133, + "oldsmobile": 45396, + "ole": 9089, + "ole": 1947, + "oled": 46768, + "oler": 24069, + "oles": 16962, + "olf": 16346, + "olga": 34779, + "oli": 3811, + "oli": 8810, + "olic": 31341, + "oligar": 46185, + "olim": 47769, + "olin": 37823, + "olin": 18283, + "olina": 34711, + "oline": 17441, + "oling": 38033, + "olini": 36040, + "olis": 49397, + "olithic": 35574, + "olive": 22486, + "olive": 9898, + "oliver": 22882, + "oliver": 9261, + "olives": 27149, + "olivi": 20773, + "olivia": 11697, + "olivier": 23891, + "oll": 32270, + "oll": 15510, + "olla": 31908, + "ollie": 24434, + "olls": 42697, + "olly": 23998, + "olo": 14628, + "olo": 7606, + "ological": 12345, + "ologist": 23442, + "ologists": 30912, + "ology": 4627, + "olor": 29245, + "olph": 25077, + "ols": 2236, + "olsen": 26307, + "olson": 28046, + "olt": 46252, + "olu": 16502, + "olu": 46302, + "olulu": 27645, + "oly": 20323, + "oly": 24823, + "olym": 3594, + "olympi": 13597, + "olympia": 23965, + "olympiad": 47694, + "olympian": 25420, + "olympians": 44583, + "olympic": 26099, + "olympic": 6388, + "olympics": 7629, + "olympus": 30960, + "om": 547, + "om": 3932, + "oma": 44603, + "oma": 5358, + "omaha": 16509, + "oman": 22088, + "oman": 10871, + "omar": 19488, + "omar": 13367, + "omars": 37099, + "omas": 36023, + "omat": 40788, + "omb": 34447, + "ombe": 35967, + "omd": 49346, + "ome": 3693, + "ome": 5832, + "omed": 16835, + "omega": 13465, + "omelette": 38789, + "omen": 9969, + "omen": 25469, + "oment": 43683, + "omeo": 39844, + "omer": 24087, + "omer": 17902, + "omes": 25736, + "ometer": 20060, + "ometric": 38702, + "omez": 12541, + "omf": 47496, + "omfg": 12523, + "omg": 35233, + "omg": 3186, + "omi": 24097, + "omi": 10341, + "omic": 40536, + "omic": 12793, + "omics": 15138, + "omile": 46915, + "omin": 16457, + "omination": 42571, + "oming": 10796, + "ominous": 40914, + "omni": 18793, + "omni": 39489, + "omnibus": 44760, + "omnic": 48383, + "omo": 14478, + "omo": 11066, + "omon": 48758, + "omor": 29431, + "oms": 3770, + "omusic": 38965, + "omy": 40805, + "omy": 6884, + "on": 521, + "on": 525, + "ona": 2687, + "onair": 29511, + "onal": 918, + "onboard": 21689, + "once": 16331, + "once": 2654, + "onceupon": 28122, + "onceuponatime": 33505, + "onco": 46700, + "oncology": 24593, + "ond": 27918, + "ond": 2636, + "onda": 32643, + "onday": 29864, + "onde": 44532, + "ondo": 29529, + "ondon": 42043, + "ondon": 11851, + "one": 1980, + "one": 637, + "onec": 27746, + "oned": 28012, + "oned": 4698, + "onedirection": 16245, + "onee": 44433, + "oneill": 44808, + "onelove": 47417, + "onent": 12147, + "onents": 11709, + "oneof": 48478, + "onep": 20440, + "onepiece": 43153, + "oneplus": 25981, + "oner": 30055, + "oner": 6071, + "oners": 12324, + "ones": 20757, + "ones": 1575, + "oneself": 46874, + "onesie": 33237, + "oness": 25379, + "onet": 36058, + "oneteam": 41094, + "onetsy": 33392, + "onew": 43848, + "onews": 18696, + "onex": 49116, + "oney": 44498, + "oney": 9408, + "onf": 41790, + "onfox": 29874, + "ong": 2787, + "ong": 846, + "onga": 30259, + "ongchang": 35071, + "ongi": 21754, + "ongo": 31226, + "ongoing": 10393, + "ongs": 12143, + "oni": 4385, + "oni": 8048, + "onia": 8001, + "onial": 27599, + "onian": 21090, + "onic": 15838, + "onic": 3711, + "onica": 14631, + "onics": 9779, + "onie": 35249, + "onies": 22601, + "onimo": 41271, + "oning": 5197, + "onion": 10985, + "onions": 15255, + "onist": 10099, + "onists": 19659, + "onix": 27370, + "onized": 43657, + "onlin": 31103, + "online": 12940, + "online": 2027, + "onlinemarketing": 41820, + "onlineshopping": 38587, + "only": 11646, + "only": 1033, + "onlyin": 32947, + "onna": 25438, + "onna": 35458, + "onnaise": 48934, + "onne": 23466, + "onnell": 45613, + "ono": 28165, + "ono": 14388, + "onom": 48014, + "onomy": 36873, + "onpoli": 20708, + "ons": 26076, + "ons": 708, + "onsale": 36324, + "onset": 30527, + "onsite": 37336, + "onstage": 21821, + "onstorm": 49333, + "ont": 34303, + "ont": 11157, + "ontari": 6739, + "ontario": 42766, + "ontario": 7436, + "onte": 34723, + "onthe": 12241, + "onther": 46563, + "ontheroad": 47516, + "onthisday": 6862, + "onto": 11745, + "onto": 3141, + "ontology": 37364, + "ontour": 32155, + "onu": 44142, + "onward": 34827, + "onwards": 20682, + "ony": 9490, + "ony": 2926, + "onym": 11483, + "onymous": 13038, + "onyx": 31353, + "oo": 574, + "oo": 2822, + "ood": 16429, + "ood": 738, + "oodle": 45289, + "oods": 44660, + "oof": 42270, + "ooh": 16806, + "ook": 22326, + "ook": 8394, + "ooks": 31082, + "ool": 37702, + "ool": 929, + "oom": 22786, + "oom": 15002, + "oomf": 40607, + "oon": 35651, + "oon": 7100, + "ooo": 9571, + "oooh": 28927, + "oooo": 4002, + "oooo": 13643, + "ooooo": 12532, + "oooooo": 43590, + "oooooo": 20372, + "ooooooo": 30859, + "oooooooo": 15473, + "oooooooo": 43408, + "oooooooooooooooo": 48645, + "oop": 7326, + "ooper": 39906, + "oops": 9116, + "oor": 35239, + "oos": 9896, + "oosa": 30834, + "oose": 38941, + "oot": 17667, + "ootball": 28914, + "ootd": 16547, + "ooth": 12682, + "oott": 34316, + "ooza": 22809, + "op": 676, + "op": 3691, + "opa": 28949, + "opal": 28982, + "opar": 18167, + "opath": 33079, + "opathic": 37521, + "opathy": 28466, + "opau": 27239, + "opd": 38288, + "ope": 31694, + "ope": 11440, + "opec": 33138, + "opel": 36952, + "open": 3647, + "open": 1488, + "openaccess": 26591, + "opend": 28069, + "opendata": 35709, + "openday": 46991, + "opened": 5303, + "opener": 8998, + "openhouse": 36091, + "opening": 33728, + "opening": 2516, + "openingday": 36359, + "openings": 27643, + "openly": 23005, + "opens": 4801, + "opensource": 29930, + "oper": 2796, + "oper": 37533, + "opera": 8056, + "operate": 19306, + "operated": 23031, + "operates": 38675, + "operating": 12218, + "operation": 27173, + "operation": 7639, + "operational": 18237, + "operations": 8106, + "operative": 28380, + "operator": 15972, + "operators": 19267, + "opers": 48728, + "opes": 37258, + "oph": 6796, + "opha": 38634, + "ophel": 45017, + "ophelia": 49118, + "ophi": 44547, + "ophile": 35915, + "opho": 12900, + "ophobia": 21111, + "ophobic": 29934, + "ophon": 25120, + "ophone": 26345, + "ophthal": 33135, + "ophy": 28539, + "opi": 40056, + "opi": 48994, + "opin": 7636, + "opini": 14825, + "opinion": 7843, + "opinions": 16192, + "opio": 17371, + "opioid": 22833, + "opioids": 47578, + "opla": 36270, + "ople": 25663, + "opol": 15173, + "opoly": 23729, + "opor": 39650, + "opoulos": 42020, + "opp": 2020, + "opp": 21024, + "oppa": 23637, + "oppo": 7399, + "oppo": 41770, + "opponent": 17002, + "opponents": 19664, + "oppor": 2914, + "opportun": 2939, + "opportunities": 5978, + "opportunity": 4004, + "oppos": 10091, + "oppose": 23617, + "opposed": 22509, + "opposes": 47471, + "opposing": 24376, + "opposite": 12872, + "opposition": 11062, + "oppre": 17341, + "oppressed": 41492, + "oppression": 30650, + "opra": 28291, + "oprah": 22562, + "opry": 35340, + "ops": 3054, + "opt": 45103, + "opt": 27188, + "opted": 42035, + "opti": 6580, + "optic": 25190, + "optic": 24755, + "optical": 16822, + "optics": 27165, + "optim": 22331, + "optimal": 25235, + "optimi": 9737, + "optimis": 39459, + "optimism": 25226, + "optimist": 44581, + "optimistic": 23104, + "optimization": 25125, + "optimize": 30456, + "optimized": 43939, + "optimizing": 49157, + "optimum": 35974, + "optimus": 43453, + "option": 8464, + "optional": 25411, + "options": 7063, + "optome": 35533, + "opul": 39858, + "opus": 33295, + "opy": 21835, + "or": 523, + "or": 541, + "ora": 4301, + "orac": 24673, + "oracle": 37308, + "oracle": 15966, + "orah": 40820, + "orail": 45120, + "oral": 32490, + "oral": 6007, + "orama": 33619, + "oran": 32209, + "oran": 28395, + "orang": 22116, + "orange": 13957, + "orange": 4287, + "oranges": 32417, + "orangu": 36112, + "orb": 28894, + "orb": 36958, + "orbit": 19713, + "orbital": 40312, + "orc": 44305, + "orca": 18631, + "orcas": 47676, + "orch": 11893, + "orchar": 40226, + "orchard": 19530, + "orche": 8004, + "orchestr": 42937, + "orchestra": 9573, + "orchestral": 40285, + "orchi": 23696, + "orchid": 18678, + "orchids": 28376, + "ord": 26903, + "ord": 11502, + "orda": 33462, + "ordained": 38302, + "order": 24613, + "order": 2191, + "ordered": 8335, + "ordering": 19588, + "orderly": 43457, + "orders": 6187, + "ordin": 4378, + "ordinance": 38583, + "ordinary": 8012, + "ore": 3580, + "ore": 1423, + "orean": 36696, + "ored": 5133, + "oregon": 21759, + "oregon": 8035, + "oren": 21645, + "oreo": 21873, + "oreos": 41688, + "ores": 17328, + "org": 3401, + "org": 5593, + "organ": 3338, + "organ": 13213, + "organi": 3636, + "organic": 24080, + "organic": 5980, + "organics": 44199, + "organis": 13204, + "organisation": 15868, + "organisations": 20651, + "organise": 36073, + "organised": 13191, + "organiser": 49141, + "organisers": 35778, + "organising": 22787, + "organisms": 37041, + "organiz": 11107, + "organization": 8064, + "organizational": 29510, + "organizations": 13453, + "organize": 19973, + "organized": 10681, + "organizer": 23905, + "organizers": 27191, + "organizing": 15779, + "organs": 29872, + "orgs": 29500, + "ori": 1540, + "ori": 8693, + "oria": 11474, + "orial": 8648, + "orian": 21193, + "oric": 43810, + "orice": 41341, + "orie": 18815, + "orient": 13149, + "orient": 30770, + "oriental": 23056, + "orientation": 16873, + "oriente": 40390, + "oriented": 24596, + "orienteering": 42985, + "ories": 5934, + "orig": 2273, + "orig": 38463, + "origami": 31832, + "origin": 2555, + "origin": 12372, + "original": 18496, + "original": 3117, + "originally": 12849, + "originals": 16953, + "originated": 41823, + "origins": 16291, + "orin": 39863, + "oring": 3006, + "orio": 24308, + "orioles": 21430, + "orion": 21765, + "oris": 37064, + "orities": 7903, + "ority": 5556, + "orium": 12015, + "ork": 22202, + "ork": 37235, + "orkney": 34254, + "orl": 39465, + "orlando": 32247, + "orlando": 7827, + "orleans": 11127, + "orm": 38464, + "orn": 25412, + "orn": 8130, + "ornam": 36122, + "ornament": 23409, + "ornamental": 46270, + "ornaments": 28968, + "ornate": 46865, + "orni": 27713, + "ornithology": 38275, + "orns": 19340, + "oro": 9848, + "oro": 14573, + "orous": 19286, + "orph": 17318, + "orphan": 22718, + "orphan": 28994, + "orphanage": 45196, + "orphaned": 46792, + "orphans": 36588, + "orphe": 39186, + "orr": 32977, + "ors": 1127, + "orship": 20846, + "ort": 1019, + "ortega": 39727, + "orth": 22584, + "orth": 24461, + "ortho": 11366, + "orthodon": 37730, + "orthodox": 19008, + "orthop": 42123, + "orthopedic": 49341, + "ortiz": 23544, + "orton": 37238, + "oru": 44629, + "oru": 31281, + "orum": 42724, + "orwell": 41218, + "ory": 16983, + "ory": 1985, + "os": 2211, + "os": 1299, + "osa": 16340, + "osa": 17237, + "osaka": 21347, + "osborne": 22402, + "osbourne": 43376, + "osc": 5092, + "oscar": 21157, + "oscar": 8191, + "oscars": 11098, + "osce": 37303, + "oscill": 38272, + "ose": 46942, + "ose": 22541, + "osh": 30717, + "osh": 35011, + "osha": 33907, + "oshi": 34770, + "osi": 25247, + "osi": 17636, + "osis": 13903, + "osity": 12730, + "oslo": 20547, + "osm": 31626, + "osman": 46539, + "oso": 42793, + "oso": 21285, + "osp": 24387, + "ospre": 49001, + "osprey": 37893, + "oss": 29362, + "oss": 34640, + "ost": 23701, + "ost": 18749, + "oste": 20632, + "osteo": 43163, + "oster": 31781, + "ostr": 33673, + "ostrich": 47640, + "osu": 29480, + "osu": 19818, + "oswald": 38471, + "ot": 1863, + "ot": 2062, + "ota": 17509, + "ota": 8741, + "otago": 45919, + "otaku": 40743, + "otas": 47616, + "otc": 37934, + "otd": 5683, + "ote": 28511, + "ote": 19744, + "otes": 27280, + "oth": 33262, + "oth": 33519, + "other": 9758, + "other": 1010, + "others": 3326, + "otherwise": 12376, + "oti": 19567, + "oti": 45564, + "otic": 9671, + "otis": 28246, + "otive": 10877, + "oto": 23946, + "oto": 23399, + "otp": 29822, + "otr": 38685, + "ots": 5769, + "ott": 10167, + "ott": 7936, + "otta": 7623, + "otta": 20941, + "ottawa": 49027, + "ottawa": 9019, + "otte": 35214, + "otter": 34710, + "otter": 22456, + "otters": 38883, + "otti": 36721, + "ottnews": 33995, + "otto": 17730, + "ottoman": 27503, + "otw": 35259, + "otwol": 46868, + "ou": 520, + "ou": 6544, + "ouat": 32954, + "ouch": 13493, + "oud": 1359, + "oue": 48838, + "ouf": 34618, + "ough": 4204, + "ough": 991, + "ought": 2253, + "oughton": 36860, + "oui": 39421, + "ouk": 21796, + "oul": 20253, + "oul": 8081, + "ould": 859, + "oulos": 32808, + "oun": 636, + "oun": 20960, + "ounce": 15027, + "ounces": 30299, + "ound": 2013, + "ound": 853, + "oundation": 40132, + "ounded": 9634, + "ounding": 11944, + "ounds": 2753, + "oung": 35875, + "oung": 25341, + "ounge": 29427, + "ount": 43801, + "ount": 4172, + "ounts": 10963, + "oup": 32815, + "our": 727, + "our": 581, + "oura": 29806, + "oura": 36352, + "ourable": 24126, + "ourage": 34525, + "oural": 45840, + "oured": 6956, + "ouri": 12696, + "ouring": 12000, + "ourism": 25496, + "ourke": 26480, + "ourlives": 37541, + "ouro": 41224, + "ours": 1491, + "ourse": 15415, + "ourselves": 10124, + "ourt": 22960, + "oury": 29484, + "ous": 1987, + "ous": 879, + "ouse": 32048, + "ouse": 7603, + "ouses": 33666, + "ously": 2501, + "ousness": 10689, + "ousy": 28302, + "out": 1130, + "out": 620, + "outa": 35187, + "outage": 27320, + "outages": 40353, + "outback": 28532, + "outbound": 41256, + "outbreak": 20103, + "outcome": 16552, + "outcomes": 14016, + "outdated": 38313, + "outdoor": 19184, + "outdoor": 6368, + "outdoors": 10469, + "oute": 44180, + "outed": 34435, + "outer": 30499, + "outer": 14188, + "outes": 39600, + "outfield": 41826, + "outfit": 6525, + "outfits": 16366, + "outfitters": 37725, + "outfy": 34920, + "outgoing": 27302, + "outh": 16933, + "outh": 8111, + "outine": 35452, + "outing": 11251, + "outlander": 45820, + "outlander": 17095, + "outlaw": 37498, + "outlaw": 27340, + "outlaws": 30935, + "outlet": 16855, + "outlets": 20822, + "outline": 26894, + "outlines": 29159, + "outlining": 45960, + "outlook": 12983, + "outof": 43958, + "outpatient": 46603, + "outpost": 44622, + "output": 17255, + "outra": 14262, + "outrage": 23577, + "outraged": 43402, + "outrageous": 29342, + "outre": 14373, + "outreach": 15297, + "outright": 38200, + "outs": 5790, + "outsi": 22515, + "outside": 47693, + "outside": 2782, + "outsider": 41196, + "outsiders": 41742, + "outskirts": 42088, + "outsourcing": 34543, + "outstanding": 6387, + "outta": 15807, + "outtuesday": 48692, + "outw": 34650, + "oux": 40960, + "oux": 14228, + "ov": 6420, + "ov": 8479, + "ova": 12762, + "oval": 15039, + "ovarian": 42913, + "ovation": 24333, + "ove": 8649, + "ove": 15456, + "oven": 44620, + "oven": 12579, + "over": 1658, + "over": 962, + "overall": 6914, + "overboard": 42982, + "overcame": 47235, + "overcast": 36942, + "overcome": 14365, + "overcoming": 29348, + "overdose": 27017, + "overdrive": 40088, + "overdue": 30240, + "overflow": 32885, + "overflowing": 45370, + "overhaul": 31531, + "overhead": 20321, + "overland": 38808, + "overlay": 44827, + "overload": 24327, + "overlook": 35767, + "overlooked": 27632, + "overlooking": 17319, + "overly": 28820, + "overnight": 9913, + "overpass": 44310, + "overrated": 38214, + "overs": 45774, + "overs": 17329, + "overseas": 15100, + "oversight": 32494, + "oversized": 31557, + "overtime": 19347, + "overturned": 31048, + "overview": 14789, + "overwatch": 18124, + "overweight": 43465, + "overwhel": 12204, + "overwhelmed": 23459, + "overwhelming": 20306, + "overwhelmingly": 43549, + "ovi": 32508, + "ovic": 22417, + "ovich": 27623, + "ovie": 47677, + "ovo": 41920, + "ovo": 18065, + "ovski": 26167, + "ow": 2032, + "ow": 2250, + "owa": 32770, + "owe": 19073, + "owed": 37641, + "owen": 24838, + "owen": 12056, + "owens": 20664, + "owes": 35069, + "owing": 48582, + "owl": 34332, + "owl": 9899, + "owls": 18247, + "own": 3845, + "own": 1758, + "owned": 8536, + "owner": 5019, + "owners": 7712, + "ownership": 16583, + "owning": 24661, + "owns": 17533, + "owo": 46142, + "ows": 27423, + "owski": 22573, + "ox": 3282, + "ox": 12071, + "oxfam": 45466, + "oxford": 28588, + "oxford": 8824, + "oxfordshire": 37855, + "oxi": 33731, + "oxi": 48147, + "oxid": 17701, + "oxide": 28235, + "oxo": 37088, + "oxy": 12432, + "oxygen": 16214, + "oy": 6638, + "oy": 12437, + "oya": 38894, + "oye": 48677, + "oyster": 40545, + "oyster": 17253, + "oysters": 22672, + "oz": 10584, + "oz": 6044, + "ozar": 31848, + "ozil": 41365, + "ozone": 37052, + "ozzy": 39549, + "p": 79, + "p": 335, + "pa": 765, + "pa": 2217, + "paa": 32812, + "pab": 9354, + "pablo": 42172, + "pablo": 14473, + "pac": 2332, + "pac": 7608, + "pace": 40600, + "pace": 9450, + "paced": 32611, + "pacers": 23976, + "paces": 43001, + "paci": 5699, + "pacific": 19723, + "pacific": 6654, + "pacing": 45202, + "pack": 2711, + "pack": 3420, + "package": 7053, + "packaged": 29656, + "packages": 14305, + "packaging": 11658, + "packard": 46421, + "packed": 5883, + "packer": 28209, + "packers": 14294, + "packet": 25022, + "packets": 40448, + "packing": 9829, + "packs": 11086, + "paco": 41364, + "pacqui": 28456, + "pacquiao": 30485, + "pact": 27182, + "pad": 3798, + "pad": 7601, + "padded": 42253, + "paddington": 33162, + "paddle": 38276, + "paddle": 20811, + "paddling": 40645, + "paddock": 29590, + "paddy": 33103, + "paddy": 19855, + "padi": 47037, + "padilla": 22380, + "padma": 44595, + "padma": 46457, + "padre": 38343, + "padres": 22829, + "pads": 17353, + "paedi": 41488, + "paella": 46924, + "paf": 47185, + "pafc": 49259, + "pag": 4151, + "pag": 30525, + "pagan": 27854, + "page": 14996, + "page": 2504, + "pageant": 22139, + "pages": 8082, + "pagoda": 44309, + "pah": 41054, + "pah": 26884, + "pai": 20624, + "pai": 21198, + "paid": 5057, + "paige": 33659, + "paige": 16022, + "paign": 31796, + "pain": 2141, + "pain": 4495, + "paine": 38069, + "painful": 16361, + "pains": 25639, + "paint": 7948, + "paint": 5185, + "paintball": 39730, + "painted": 6433, + "painter": 10888, + "painters": 35703, + "painting": 49164, + "painting": 3086, + "paintings": 9956, + "paints": 21672, + "pair": 19848, + "pair": 4038, + "paired": 12433, + "pairing": 16313, + "pairings": 41152, + "pairs": 9950, + "pais": 16878, + "paisley": 22954, + "pajam": 24110, + "pajama": 40244, + "pajamas": 37231, + "pak": 13186, + "pak": 9094, + "paki": 3438, + "pakistan": 10713, + "pakistan": 3994, + "pakistani": 14050, + "pakistanis": 45707, + "pakv": 38196, + "pal": 1850, + "pal": 3611, + "pala": 17895, + "palace": 6381, + "palaces": 45625, + "palad": 28371, + "palae": 43379, + "palais": 35673, + "palate": 34666, + "palawan": 48202, + "palazzo": 36006, + "pale": 4768, + "pale": 12518, + "paleo": 36741, + "paleo": 22198, + "paler": 38028, + "palermo": 40635, + "palestin": 9449, + "palestine": 11682, + "palestinian": 11764, + "palestinians": 21874, + "palette": 13901, + "pali": 48063, + "palin": 40153, + "palis": 44256, + "pality": 27296, + "pall": 35817, + "palla": 21208, + "palladium": 37888, + "pallet": 39057, + "palli": 28954, + "palliative": 46014, + "pally": 46073, + "palm": 19651, + "palm": 8612, + "palma": 29888, + "palmer": 40112, + "palmer": 13633, + "palms": 27059, + "palo": 31562, + "palom": 47698, + "palooza": 25861, + "pals": 11043, + "palsy": 46651, + "pam": 8228, + "pam": 18513, + "pamela": 26991, + "pamp": 37653, + "pamper": 44345, + "pamph": 41332, + "pan": 1072, + "pan": 7437, + "panam": 24606, + "panama": 15522, + "panas": 26207, + "panasonic": 29750, + "pancake": 18723, + "pancakes": 15308, + "panch": 27251, + "pancra": 42472, + "pancre": 27708, + "pancreatic": 49337, + "pancy": 41625, + "pand": 5631, + "panda": 12952, + "pandas": 35119, + "pande": 38419, + "pandey": 34895, + "pandit": 41191, + "pandor": 30250, + "pandora": 17727, + "pandoramusic": 42344, + "pane": 27470, + "panel": 3724, + "paneli": 19410, + "panelist": 39719, + "panelists": 24619, + "panels": 12735, + "panera": 48471, + "pang": 16756, + "pang": 23672, + "panhandle": 40919, + "pani": 36092, + "panic": 46671, + "panic": 14124, + "panini": 30410, + "pann": 42302, + "panna": 49065, + "pano": 36165, + "panor": 12962, + "panorama": 19763, + "panoramic": 22563, + "pans": 35204, + "pant": 22550, + "panther": 22825, + "panther": 13262, + "panthers": 10494, + "panties": 32515, + "panto": 28776, + "pantry": 25608, + "pants": 5003, + "panty": 44217, + "pany": 45567, + "panzer": 41159, + "pao": 33790, + "paola": 44689, + "paolo": 48488, + "paolo": 21133, + "pap": 1884, + "pap": 30756, + "papa": 12211, + "papar": 32782, + "paparazzi": 37842, + "papaya": 44098, + "paper": 8680, + "paper": 2802, + "paperback": 17928, + "papers": 8204, + "paperwork": 35785, + "papi": 35177, + "papp": 26361, + "paprika": 44793, + "papua": 32629, + "par": 699, + "par": 9163, + "para": 18355, + "para": 8976, + "parach": 23147, + "parachute": 30122, + "parad": 37143, + "parade": 5809, + "parades": 46479, + "paradi": 6658, + "paradig": 27786, + "paradigm": 33485, + "paradise": 45869, + "paradise": 7247, + "paradox": 33109, + "parag": 11866, + "paragon": 48099, + "paragra": 24903, + "paragraph": 28499, + "paragu": 38021, + "paraguay": 43579, + "paral": 15143, + "paralle": 13184, + "parallel": 18201, + "paralleled": 42520, + "parallels": 46101, + "paraly": 30255, + "paralym": 18727, + "paralympic": 30806, + "paralympics": 37162, + "paralysis": 45702, + "param": 12250, + "parame": 27106, + "paramedic": 34630, + "paramedics": 35991, + "parameters": 44890, + "paramore": 34401, + "paramount": 26642, + "parano": 30283, + "paranoid": 43029, + "paranor": 16940, + "paranormal": 19047, + "parap": 41091, + "paras": 15198, + "parasite": 42460, + "parasites": 46175, + "parc": 30914, + "parcel": 30367, + "parcels": 45589, + "pard": 18773, + "pardon": 47606, + "pardon": 26565, + "pare": 18202, + "pared": 5498, + "paren": 3106, + "parent": 47848, + "parent": 10183, + "parental": 28339, + "parenthood": 23887, + "parenting": 14529, + "parents": 3731, + "pares": 12420, + "parfait": 46140, + "pari": 17961, + "pari": 27979, + "paris": 13982, + "paris": 3445, + "parisagreement": 47405, + "parish": 47328, + "parish": 13020, + "parisi": 45081, + "parisian": 38512, + "parity": 42734, + "park": 4985, + "park": 1452, + "parked": 16487, + "parker": 31119, + "parker": 8365, + "parkin": 34868, + "parking": 5984, + "parkinson": 28129, + "parkland": 31287, + "parkrun": 25747, + "parks": 6873, + "parkway": 19882, + "parl": 30373, + "parl": 29897, + "parliam": 5941, + "parliament": 41599, + "parliament": 7151, + "parliamentary": 17912, + "parlor": 38253, + "parlour": 37829, + "parma": 36077, + "parme": 26295, + "parmesan": 27274, + "paro": 17429, + "parody": 24318, + "parole": 32158, + "parr": 44113, + "parrish": 43043, + "parrot": 23565, + "parry": 40604, + "parsley": 30077, + "parsons": 22505, + "part": 1872, + "part": 1551, + "parte": 48508, + "parth": 34790, + "parti": 10509, + "partial": 18957, + "partially": 21269, + "partic": 2871, + "partici": 9540, + "particip": 4400, + "participant": 27674, + "participants": 10237, + "participate": 9433, + "participated": 14252, + "participates": 46414, + "participating": 11535, + "participation": 13529, + "particle": 27716, + "particles": 27012, + "particul": 11408, + "particular": 14098, + "particularly": 12170, + "parties": 9032, + "parting": 32844, + "partisan": 20772, + "partist": 44713, + "partition": 42219, + "partly": 21459, + "partner": 5210, + "partner": 4568, + "partnered": 21402, + "partnering": 21182, + "partners": 5568, + "partnership": 6123, + "partnerships": 17418, + "parton": 43245, + "partridge": 34872, + "parts": 5149, + "party": 12877, + "party": 1580, + "partying": 25702, + "pas": 1341, + "pas": 9525, + "pasadena": 25892, + "pascal": 28626, + "pasco": 49220, + "pascu": 42692, + "pash": 23936, + "pasha": 46986, + "paso": 18542, + "pasqu": 44941, + "pass": 5016, + "pass": 3511, + "passage": 16477, + "passages": 48937, + "passed": 4957, + "passenger": 12311, + "passengers": 12781, + "passer": 48544, + "passes": 7633, + "passi": 32471, + "passing": 6589, + "passion": 8822, + "passion": 5332, + "passionate": 10947, + "passionately": 44028, + "passions": 38441, + "passive": 23171, + "passover": 38426, + "passport": 14739, + "passports": 46368, + "password": 20258, + "passwords": 43095, + "past": 7315, + "past": 2729, + "pasta": 10441, + "paste": 34765, + "paste": 17038, + "pastel": 19457, + "pastels": 45699, + "pastor": 19792, + "pastor": 9664, + "pastoral": 37191, + "pastors": 30959, + "pastr": 45478, + "pastries": 39409, + "pastry": 18582, + "pasture": 34764, + "pastures": 47793, + "pat": 1300, + "pat": 7036, + "patag": 29862, + "patagonia": 32786, + "patch": 29284, + "patch": 8721, + "patches": 22104, + "patchwork": 44675, + "patchy": 47488, + "pate": 42122, + "pate": 42098, + "patel": 14168, + "patent": 14692, + "patented": 37277, + "patents": 33911, + "paterson": 36560, + "path": 7408, + "path": 5035, + "pathetic": 18222, + "pathfinder": 35415, + "pathi": 34976, + "pathi": 27347, + "pathic": 49025, + "patho": 18534, + "pathology": 23290, + "paths": 16333, + "pathway": 23488, + "pathways": 24690, + "pathy": 13330, + "pati": 2799, + "pati": 26708, + "patience": 13575, + "patient": 30139, + "patient": 6262, + "patiently": 22980, + "patients": 5543, + "patil": 49187, + "patio": 14304, + "pational": 30627, + "patna": 45025, + "patory": 41859, + "patreon": 17165, + "patri": 4771, + "patriarch": 49054, + "patriarchy": 48806, + "patric": 12569, + "patrice": 40731, + "patricia": 18143, + "patrick": 12078, + "patrick": 5286, + "patricks": 46783, + "patriot": 28896, + "patriot": 15692, + "patrioti": 35520, + "patriotic": 20217, + "patriotism": 35807, + "patriots": 8707, + "patro": 31650, + "patrol": 10073, + "patrolling": 39344, + "patrols": 35978, + "patron": 26658, + "patron": 17683, + "patrons": 28308, + "pats": 24874, + "patsy": 46093, + "patt": 12637, + "patter": 4982, + "pattern": 7447, + "patterned": 47212, + "patterns": 11637, + "patterson": 21384, + "patti": 44927, + "patti": 26123, + "pattinson": 32474, + "patton": 29026, + "patty": 48741, + "patty": 18321, + "pau": 1834, + "pau": 35970, + "paul": 6035, + "paul": 2597, + "paula": 37363, + "paula": 16777, + "pauline": 30438, + "paulo": 48002, + "paulo": 21628, + "pauls": 41413, + "pauls": 40010, + "paulson": 48201, + "pause": 19439, + "paused": 46782, + "pav": 6661, + "pave": 37107, + "paved": 27898, + "pavel": 43152, + "pavement": 27669, + "pavilion": 13374, + "paving": 28651, + "paw": 14009, + "paw": 16016, + "pawan": 29754, + "pawankalyan": 33702, + "pawn": 43195, + "paws": 16714, + "pax": 20007, + "pax": 19033, + "paxton": 38347, + "pay": 2642, + "pay": 3345, + "payback": 36413, + "paycheck": 45078, + "payday": 26957, + "payee": 46985, + "payer": 41503, + "paying": 8341, + "payment": 10596, + "payments": 11832, + "payne": 12775, + "paypal": 21442, + "payroll": 31610, + "pays": 10845, + "paysoff": 48174, + "paytm": 45352, + "payton": 27348, + "paz": 22267, + "pb": 20112, + "pb": 10981, + "pba": 28205, + "pbb": 48567, + "pbb": 40589, + "pbc": 49191, + "pbl": 35166, + "pbr": 32998, + "pbs": 17908, + "pc": 6782, + "pc": 3808, + "pca": 35705, + "pcb": 26235, + "pcc": 36059, + "pci": 38957, + "pcm": 47436, + "pcr": 35704, + "pcs": 11917, + "pcso": 31963, + "pct": 22168, + "pd": 4387, + "pd": 4675, + "pdates": 16842, + "pdc": 40498, + "pdf": 15181, + "pdp": 24601, + "pdt": 21743, + "pdx": 25470, + "pdx": 16153, + "pe": 661, + "pe": 956, + "pea": 13915, + "peabo": 34083, + "peabody": 41244, + "peac": 34615, + "peace": 6249, + "peace": 3021, + "peaceful": 9461, + "peacefully": 30530, + "peacekeeping": 43630, + "peach": 10522, + "peach": 11538, + "peaches": 27216, + "peak": 18572, + "peak": 6026, + "peakdistrict": 41289, + "peake": 24810, + "peaked": 36391, + "peaks": 14067, + "pean": 11563, + "peanu": 25843, + "peanut": 12491, + "peanuts": 26503, + "pear": 4910, + "pear": 18820, + "pearce": 25996, + "pearl": 21806, + "pearl": 8560, + "pearljam": 46739, + "pearls": 19581, + "pears": 39565, + "pearson": 20461, + "peas": 15937, + "peasant": 40621, + "peasants": 48788, + "peat": 26914, + "pebble": 28056, + "pebbles": 40155, + "pec": 32447, + "pec": 17611, + "pecan": 32177, + "peck": 25186, + "peck": 29234, + "pecker": 30169, + "peckham": 45863, + "pecu": 34200, + "peculiar": 42808, + "ped": 13197, + "ped": 2966, + "pedago": 34590, + "pedagogy": 48072, + "pedal": 32943, + "pedal": 19621, + "pedals": 38535, + "pede": 12862, + "pede": 19560, + "pedestri": 30027, + "pedestrian": 18256, + "pedestrians": 33895, + "pedi": 12967, + "pedia": 11733, + "pediatric": 48431, + "pediatric": 22071, + "pedic": 35319, + "pedic": 44528, + "pedro": 29963, + "pedro": 15114, + "peds": 45377, + "pee": 12988, + "pee": 11196, + "peed": 47369, + "peek": 46323, + "peek": 7569, + "peeking": 48771, + "peel": 34386, + "peel": 17158, + "peeled": 33533, + "peeling": 48649, + "peep": 25425, + "peep": 16857, + "peeps": 11681, + "peer": 32416, + "peer": 14432, + "peers": 21626, + "pees": 31830, + "peg": 32182, + "peg": 11207, + "pegas": 30018, + "pegasus": 37822, + "peggy": 24271, + "pei": 48166, + "pei": 12917, + "pel": 4286, + "pel": 7006, + "pele": 44105, + "pelican": 34131, + "pelicans": 29363, + "pell": 46981, + "pelle": 31267, + "pelled": 32506, + "pellegr": 38529, + "pellets": 48240, + "pelo": 40192, + "pelo": 40238, + "pelosi": 22169, + "pelvic": 45646, + "pemb": 19880, + "pembro": 24084, + "pembroke": 36702, + "pembroke": 40044, + "pembrokeshire": 40695, + "pen": 1501, + "pen": 5356, + "pena": 35788, + "penalties": 25417, + "penalty": 11491, + "penang": 29545, + "penc": 20065, + "pence": 18002, + "pencil": 41303, + "pencil": 11200, + "pencils": 21909, + "pend": 3052, + "pendant": 12415, + "pendants": 44117, + "pending": 12770, + "pendleton": 44272, + "pendu": 45336, + "penelope": 36703, + "penetr": 26058, + "peng": 42955, + "peng": 39200, + "pengu": 8854, + "penguin": 28249, + "penguin": 14952, + "penguins": 16557, + "peninsu": 13464, + "peninsula": 14070, + "penn": 7760, + "penn": 11128, + "pennant": 43971, + "penned": 45077, + "penney": 47856, + "pennies": 43094, + "pennsylvania": 13673, + "penny": 20400, + "penny": 11388, + "pens": 13307, + "pens": 13310, + "pensac": 30925, + "pensacola": 33573, + "pension": 32840, + "pension": 17764, + "pensions": 29773, + "penske": 47154, + "pent": 10699, + "pent": 22725, + "pentagon": 23133, + "pente": 33165, + "penthouse": 32673, + "penultimate": 36553, + "peop": 1030, + "people": 10573, + "people": 1047, + "peoples": 28241, + "peoples": 14627, + "peopleschoice": 32418, + "peoplesvote": 45830, + "peoria": 36985, + "pep": 12761, + "pep": 14898, + "pepe": 24778, + "pepp": 34425, + "pepper": 14861, + "pepper": 8253, + "peppermint": 30321, + "pepperoni": 47307, + "peppers": 14650, + "pepsi": 21307, + "per": 703, + "per": 1284, + "pera": 26294, + "perce": 24135, + "perceived": 38436, + "percent": 16328, + "percent": 9017, + "percentage": 19477, + "percep": 28017, + "perception": 20591, + "perceptions": 38138, + "perch": 34281, + "perched": 40071, + "percu": 41722, + "percussion": 23980, + "percy": 23940, + "pere": 8665, + "pere": 36300, + "pered": 24509, + "peregr": 37479, + "peregrine": 44546, + "pereira": 43927, + "peren": 24564, + "perenni": 26996, + "perennial": 34038, + "perez": 15107, + "perf": 22816, + "perfe": 1624, + "perfec": 6599, + "perfect": 17261, + "perfect": 1878, + "perfection": 9646, + "perfectly": 8037, + "perfecto": 42898, + "perfor": 2311, + "perform": 3866, + "perform": 5940, + "performan": 8973, + "performance": 2714, + "performances": 9553, + "performed": 9997, + "performer": 17061, + "performers": 18476, + "performing": 5170, + "performs": 13839, + "perfu": 14214, + "perfume": 17525, + "perhaps": 9297, + "peri": 12618, + "peri": 44068, + "perience": 19302, + "peril": 40119, + "peril": 48301, + "perimeter": 38499, + "pering": 29746, + "perio": 5101, + "period": 6131, + "periodic": 36476, + "periods": 24401, + "periph": 35308, + "peripheral": 43901, + "peris": 19461, + "periscope": 21668, + "perk": 33424, + "perkins": 20057, + "perks": 17660, + "perl": 44018, + "perm": 47847, + "perman": 9018, + "permanent": 11144, + "permanently": 25584, + "perme": 42456, + "permission": 15822, + "permit": 21950, + "permits": 33267, + "permitted": 44380, + "pero": 23551, + "perpe": 15749, + "perpetr": 33376, + "perpetu": 30132, + "perpetual": 32018, + "perrie": 32691, + "perry": 28478, + "perry": 7899, + "pers": 3688, + "pers": 10710, + "perse": 27498, + "persecu": 22878, + "persecution": 32009, + "perseverance": 29820, + "persi": 11509, + "persian": 19859, + "persist": 19412, + "persist": 40938, + "persistence": 34588, + "persistent": 29028, + "person": 3510, + "person": 2533, + "persona": 18401, + "personal": 10114, + "personal": 4121, + "personalised": 24186, + "personalities": 27888, + "personality": 10386, + "personalized": 17845, + "personally": 13885, + "personnel": 14546, + "persons": 14592, + "perspec": 17997, + "perspective": 8996, + "perspectives": 18777, + "persu": 20972, + "pert": 36970, + "pert": 16306, + "perth": 19067, + "perth": 11011, + "peru": 20612, + "peru": 12964, + "peruvian": 30822, + "pes": 38368, + "pes": 2598, + "pesa": 47409, + "pesc": 44044, + "pesh": 33184, + "peshaw": 28524, + "peshawar": 29230, + "pesky": 42512, + "pesos": 47872, + "pessi": 43902, + "pest": 20130, + "pest": 9425, + "pesticide": 48481, + "pesticides": 37868, + "pesto": 26186, + "pests": 41919, + "pet": 2167, + "pet": 3703, + "peta": 28785, + "petal": 38430, + "petal": 40469, + "petals": 26064, + "petday": 45314, + "pete": 14479, + "pete": 8571, + "peter": 5093, + "peter": 3696, + "peterborough": 26012, + "peters": 16336, + "petersburg": 21052, + "petersen": 39794, + "peterson": 16877, + "peth": 48920, + "petit": 36437, + "petit": 21276, + "petite": 27213, + "petition": 10975, + "petitions": 43536, + "petr": 29808, + "petra": 31300, + "petre": 47179, + "petri": 31831, + "petro": 8716, + "petrol": 18149, + "petroleum": 22063, + "petron": 42875, + "pets": 7663, + "pett": 27051, + "petti": 48001, + "petting": 44334, + "petty": 17324, + "peu": 21411, + "peuge": 22893, + "peugeot": 24129, + "pew": 21608, + "pew": 30783, + "pewdie": 41882, + "pewdiepie": 42563, + "pex": 43765, + "pey": 14966, + "pey": 30933, + "peyton": 49254, + "peyton": 20307, + "pez": 45798, + "pez": 10482, + "pf": 16680, + "pf": 12572, + "pfa": 47839, + "pfc": 35007, + "pff": 44121, + "pfi": 29810, + "pfw": 31229, + "pg": 12476, + "pg": 5211, + "pga": 13351, + "pgat": 36514, + "pgatour": 40094, + "pgh": 44862, + "pgh": 30031, + "pgs": 49204, + "ph": 745, + "ph": 2042, + "pha": 4443, + "pha": 26255, + "phal": 19962, + "phan": 8731, + "phan": 40126, + "phant": 36998, + "phantom": 37688, + "phantom": 14490, + "phar": 5570, + "phara": 35792, + "pharaoh": 40437, + "pharm": 45761, + "pharma": 17831, + "pharmac": 8193, + "pharmaceu": 19490, + "pharmaceutical": 25217, + "pharmaceuticals": 44623, + "pharmacist": 41024, + "pharmacists": 44337, + "pharmacy": 15293, + "pharo": 42308, + "pharoah": 49287, + "pharrell": 31316, + "phase": 8304, + "phases": 35337, + "phat": 42492, + "phc": 41102, + "phd": 20875, + "phd": 8472, + "phdchat": 39564, + "phdlife": 39638, + "phe": 4787, + "phe": 19853, + "pheasant": 41983, + "phee": 41292, + "phel": 23711, + "phelps": 27128, + "phen": 7718, + "pheno": 47336, + "phenom": 31673, + "phenom": 39618, + "phenomen": 11304, + "phenomena": 41538, + "phenomenal": 15035, + "phenomenon": 24464, + "pher": 9194, + "pher": 19828, + "phers": 29531, + "pherson": 36421, + "phew": 10295, + "phi": 2239, + "phi": 12220, + "phia": 9228, + "phic": 3977, + "phie": 30237, + "phies": 17062, + "phil": 2821, + "phil": 6199, + "phila": 47443, + "philadel": 9428, + "philadelphia": 9749, + "philanthro": 16587, + "philanthropist": 44153, + "philanthropy": 25047, + "philately": 33695, + "phile": 36543, + "philharmon": 25228, + "philharmonic": 31699, + "phili": 4277, + "philia": 46654, + "philip": 20748, + "philip": 11074, + "philipp": 5623, + "philipp": 47591, + "philippe": 20942, + "philippine": 17629, + "philippines": 8149, + "philips": 25175, + "phill": 42346, + "phill": 48272, + "philli": 6456, + "phillies": 18748, + "phillip": 48832, + "phillip": 19323, + "phillips": 11041, + "philly": 19545, + "philly": 7785, + "philos": 8395, + "philosop": 20349, + "philosoph": 10187, + "philosopher": 25220, + "philosophical": 32628, + "philosophy": 12213, + "phils": 38573, + "phin": 33816, + "phine": 40985, + "phins": 40210, + "phish": 36897, + "phishing": 36546, + "phl": 25603, + "pho": 816, + "pho": 22707, + "phobia": 28749, + "phoe": 22673, + "phoebe": 27582, + "phoeni": 6778, + "phoenix": 20615, + "phoenix": 7793, + "phol": 48140, + "phon": 19602, + "phon": 31115, + "phone": 15486, + "phone": 1951, + "phones": 6351, + "phony": 31925, + "phora": 31363, + "phosp": 22638, + "photo": 1153, + "photo": 1125, + "photobomb": 37075, + "photobook": 41894, + "photog": 28115, + "photogenic": 36108, + "photogra": 36754, + "photograph": 1688, + "photograph": 8853, + "photographed": 11573, + "photographer": 5748, + "photographers": 17141, + "photographic": 22053, + "photographing": 30074, + "photographs": 15759, + "photography": 33183, + "photography": 2108, + "photom": 32223, + "photoo": 11106, + "photooftheday": 11933, + "photos": 2479, + "photoshoot": 11121, + "photoshop": 12419, + "photoshopped": 35738, + "phouse": 27848, + "php": 17370, + "phra": 12777, + "phrase": 18809, + "phrases": 35264, + "phs": 16495, + "phu": 21274, + "phuket": 34028, + "phx": 35466, + "phx": 29507, + "phy": 6484, + "phy": 4292, + "phyl": 35600, + "phyllis": 37844, + "phys": 3734, + "phys": 37894, + "physi": 13782, + "physic": 46641, + "physical": 44127, + "physical": 6671, + "physically": 18105, + "physician": 21055, + "physicians": 26702, + "physicist": 29052, + "physics": 9369, + "physio": 29574, + "physio": 29177, + "physiology": 32349, + "physique": 42884, + "phyto": 42197, + "pi": 741, + "pi": 5357, + "pia": 8918, + "pian": 24637, + "pianist": 21048, + "piano": 49278, + "piano": 7894, + "pianos": 47904, + "piazza": 28496, + "pic": 901, + "pic": 1282, + "pical": 5482, + "picard": 48507, + "picasso": 21481, + "piccad": 33876, + "piccadilly": 37287, + "piccollage": 43621, + "pick": 6379, + "pick": 3142, + "picked": 6018, + "picker": 43105, + "pickering": 47605, + "picket": 33559, + "picking": 9545, + "pickle": 24570, + "pickled": 21705, + "pickles": 25001, + "picks": 8551, + "pickup": 15382, + "pickups": 33383, + "picnic": 12007, + "pico": 23363, + "picoftheday": 18319, + "pics": 2559, + "pict": 18778, + "pictorial": 40640, + "picture": 11663, + "picture": 1674, + "pictured": 7647, + "pictures": 3646, + "picturesque": 24894, + "pid": 5225, + "piday": 48056, + "pie": 12065, + "pie": 5319, + "piece": 39632, + "piece": 2754, + "pieces": 6194, + "pied": 24686, + "pied": 12713, + "piedmont": 39691, + "pier": 5641, + "pier": 11348, + "pierc": 49216, + "pierce": 48462, + "pierce": 16782, + "pierced": 32799, + "piercing": 22557, + "piero": 43125, + "pierre": 34670, + "pierre": 11985, + "piers": 29030, + "pies": 6898, + "pieter": 44801, + "pietro": 42169, + "piff": 40719, + "pig": 12009, + "pig": 9619, + "pigeon": 18008, + "pigeons": 32910, + "piggy": 28245, + "pigment": 40284, + "pigs": 16228, + "pik": 48539, + "pika": 47372, + "pikach": 27268, + "pikachu": 28107, + "pike": 33457, + "pike": 14011, + "pil": 2893, + "pil": 20645, + "pilates": 29518, + "pile": 44403, + "pile": 13930, + "piled": 26873, + "piles": 31968, + "pilgri": 13966, + "pilgrim": 32662, + "pilgrimage": 24335, + "pilgrims": 31370, + "piling": 43050, + "pilip": 27234, + "pilipinas": 32392, + "pill": 14830, + "pill": 19226, + "pillar": 17322, + "pillars": 22054, + "pillow": 42237, + "pillow": 12182, + "pillows": 26499, + "pills": 23964, + "pilo": 37526, + "pilot": 31619, + "pilot": 6687, + "pilots": 15586, + "pilsner": 47153, + "pim": 15285, + "pim": 35472, + "pimp": 35789, + "pin": 2629, + "pin": 5164, + "pinball": 31679, + "pinch": 26114, + "pine": 9398, + "pine": 7374, + "pineapple": 14831, + "pines": 20338, + "ping": 23720, + "ping": 2089, + "pinion": 40557, + "pink": 11151, + "pink": 3360, + "pinkfloyd": 48520, + "pinky": 29803, + "pinn": 31448, + "pinnacle": 32754, + "pinned": 12165, + "pinning": 44515, + "pino": 36633, + "pinot": 41399, + "pinot": 21146, + "pinoy": 43578, + "pinoy": 35258, + "pins": 14619, + "pinst": 41173, + "pint": 42537, + "pint": 13584, + "pinterest": 15379, + "pinto": 35992, + "pints": 27935, + "pinup": 37349, + "pio": 22108, + "pion": 36728, + "pion": 29190, + "pione": 7975, + "pioneer": 34892, + "pioneer": 12459, + "pioneering": 25933, + "pioneers": 22383, + "pious": 42441, + "pip": 30854, + "pipe": 29333, + "pipe": 10459, + "pipel": 12387, + "pipeline": 14151, + "pipelines": 39683, + "piper": 47052, + "piper": 16293, + "pipes": 16991, + "piping": 40744, + "pippa": 47672, + "pir": 4351, + "pir": 38899, + "piracy": 39452, + "piran": 49034, + "pirate": 38680, + "pirate": 13592, + "pirates": 10442, + "pire": 16613, + "pires": 14988, + "pis": 9230, + "pis": 44441, + "pisa": 43632, + "pisces": 45982, + "piss": 20818, + "pissed": 17989, + "pist": 15556, + "pist": 32826, + "pistachi": 29760, + "pistachio": 36320, + "pistol": 20480, + "piston": 48236, + "pistons": 27242, + "pistor": 48162, + "pit": 2946, + "pit": 7476, + "pita": 27070, + "pitbull": 25295, + "pitch": 8992, + "pitch": 5872, + "pitched": 28447, + "pitcher": 13445, + "pitchers": 27835, + "pitches": 21005, + "pitching": 16455, + "piti": 47568, + "pits": 24144, + "pitt": 7607, + "pitt": 15599, + "pitts": 9531, + "pittsburgh": 10453, + "pity": 24380, + "pius": 39988, + "pivo": 18009, + "pivot": 31805, + "pivotal": 31432, + "pix": 6185, + "pix": 13088, + "pixar": 27493, + "pixel": 14384, + "pixel": 13241, + "pixelart": 18516, + "pixels": 34099, + "pixie": 35573, + "piyu": 30772, + "piyush": 36191, + "piyushgoyal": 45318, + "pizz": 3897, + "pizza": 4474, + "pizzas": 30647, + "pizzeria": 44174, + "pj": 12524, + "pj": 17179, + "pjnet": 22011, + "pjs": 36009, + "pk": 10149, + "pk": 10991, + "pkg": 49011, + "pkk": 47480, + "pknot": 41779, + "pkwy": 36827, + "pl": 712, + "pl": 5678, + "pla": 841, + "pla": 19945, + "plac": 2331, + "place": 14884, + "place": 1445, + "placed": 9729, + "placement": 16724, + "placements": 43885, + "placer": 49170, + "places": 4448, + "placing": 18531, + "plague": 25360, + "plaid": 23291, + "plain": 22776, + "plain": 10709, + "plains": 16345, + "plan": 1740, + "plan": 2970, + "pland": 24801, + "plane": 22728, + "plane": 5363, + "planes": 12581, + "planet": 16833, + "planet": 5172, + "planetary": 28361, + "planets": 22315, + "plank": 30991, + "plankton": 48249, + "plann": 6409, + "planned": 8169, + "planner": 18083, + "planners": 33664, + "planning": 4446, + "plano": 34063, + "plans": 4181, + "plant": 8521, + "plant": 3912, + "plantation": 20014, + "plantbased": 33720, + "planted": 14286, + "planter": 34453, + "planters": 43661, + "planting": 13922, + "plants": 5829, + "plaque": 16097, + "plaques": 45610, + "plar": 26754, + "plas": 45673, + "plasma": 24999, + "plaster": 31980, + "plastic": 15645, + "plastic": 6102, + "plasticpollution": 47129, + "plastics": 20999, + "plasticsurgery": 48555, + "plat": 3172, + "plata": 46456, + "plate": 28744, + "plate": 5135, + "plateau": 29301, + "plated": 21161, + "plates": 11485, + "platform": 5549, + "platforms": 13551, + "platin": 10267, + "plating": 44564, + "platinum": 10979, + "plato": 41101, + "platoon": 41254, + "platt": 44459, + "platt": 40097, + "platte": 46785, + "platter": 29071, + "platz": 40878, + "plau": 39139, + "play": 1222, + "play": 1453, + "playa": 23756, + "playable": 33885, + "playback": 39194, + "playbook": 34856, + "playboy": 24383, + "played": 3432, + "player": 24503, + "player": 2477, + "players": 3030, + "playful": 23871, + "playground": 15861, + "playhouse": 23254, + "playin": 24674, + "playing": 47368, + "playing": 1629, + "playlist": 9180, + "playlists": 47183, + "playo": 5804, + "playoff": 9655, + "playoffs": 9548, + "plays": 5134, + "playstation": 11332, + "playtime": 43037, + "playwright": 32070, + "plaza": 8943, + "plc": 16827, + "ple": 926, + "ple": 1619, + "plea": 21956, + "plead": 47539, + "pleads": 31425, + "plear": 21362, + "pleas": 8481, + "pleas": 48740, + "pleasant": 12271, + "please": 41074, + "please": 1474, + "pleased": 6107, + "pleasing": 32893, + "pleasure": 5854, + "pleasures": 29513, + "pledge": 11507, + "pledged": 36799, + "pledges": 26746, + "pledis": 41202, + "plein": 43429, + "plenary": 19891, + "plenty": 7524, + "pler": 17677, + "ples": 6248, + "pless": 39821, + "pless": 17059, + "plets": 43230, + "plex": 23765, + "plex": 15241, + "pley": 19543, + "pli": 30001, + "pli": 45797, + "plic": 5806, + "plicity": 19823, + "plight": 40317, + "plin": 44531, + "plin": 32335, + "pline": 25376, + "pling": 12899, + "plings": 31184, + "pll": 47629, + "pll": 25266, + "pln": 48755, + "plo": 1778, + "plo": 43523, + "plor": 34695, + "plot": 9918, + "plots": 25672, + "plotting": 30751, + "plough": 33811, + "plow": 38363, + "pls": 5572, + "plu": 2052, + "plug": 12628, + "plugged": 23261, + "plugin": 31278, + "plugins": 48797, + "plugs": 28083, + "plum": 26267, + "plum": 16202, + "plumb": 21769, + "plumber": 43478, + "plumbing": 24647, + "plume": 39495, + "plun": 15122, + "plunge": 26506, + "plur": 44664, + "plus": 3097, + "plush": 18926, + "pluto": 26380, + "ply": 17249, + "ply": 28705, + "plying": 36071, + "plym": 11907, + "plymouth": 13786, + "plz": 10538, + "pm": 13699, + "pm": 990, + "pmi": 41206, + "pmln": 23208, + "pmo": 18782, + "pmoindia": 20374, + "pms": 44223, + "pn": 14431, + "pn": 13774, + "pnc": 37148, + "pne": 30966, + "pneu": 28714, + "pneumonia": 42906, + "png": 20992, + "pnp": 25972, + "pnpp": 42175, + "pnw": 31521, + "po": 628, + "po": 3057, + "poa": 43912, + "poached": 27665, + "poaching": 35140, + "poc": 13232, + "poc": 27780, + "pocaly": 37987, + "pocalypse": 42307, + "poche": 38336, + "poche": 39022, + "pocket": 29147, + "pocket": 8504, + "pockets": 19566, + "pocon": 41850, + "pod": 3583, + "pod": 7446, + "podcast": 39654, + "podcast": 4294, + "podcasting": 40106, + "podcasts": 19392, + "pode": 33368, + "poder": 24960, + "podernfamily": 26620, + "podi": 32853, + "podium": 14093, + "pods": 18776, + "poe": 4746, + "poe": 19254, + "poem": 9436, + "poems": 15577, + "poet": 41019, + "poet": 9872, + "poetic": 26365, + "poetry": 20192, + "poetry": 6038, + "poetryday": 39255, + "poets": 19804, + "pof": 40850, + "poff": 28236, + "pogba": 25998, + "poign": 29682, + "poignant": 32138, + "poin": 9074, + "point": 13280, + "point": 2301, + "pointe": 24631, + "pointed": 20703, + "pointer": 29883, + "pointers": 36760, + "pointing": 19233, + "pointless": 33586, + "points": 3396, + "pois": 17008, + "poise": 45087, + "poised": 27354, + "poison": 30722, + "poison": 17074, + "poisoned": 43624, + "poisoning": 25750, + "poisonous": 37131, + "pok": 15387, + "poke": 6892, + "poke": 23186, + "pokemon": 16239, + "pokemon": 9528, + "pokemongo": 23985, + "poker": 30735, + "poker": 11865, + "pokes": 40221, + "poking": 49169, + "poké": 20656, + "pokémon": 22066, + "pol": 977, + "pol": 7649, + "pola": 43876, + "poland": 9834, + "polar": 21432, + "polar": 12214, + "polari": 27919, + "polaris": 37965, + "polarized": 48437, + "polaro": 25237, + "polaroid": 30427, + "poldark": 41322, + "pole": 26682, + "pole": 8170, + "poles": 22585, + "poli": 9675, + "poli": 5414, + "polic": 16126, + "police": 15535, + "police": 2120, + "policeman": 37713, + "policemen": 47946, + "polici": 10819, + "policies": 10993, + "policing": 20969, + "policy": 30173, + "policy": 4660, + "polio": 30533, + "polis": 16133, + "polish": 46941, + "polish": 9632, + "polished": 21478, + "polishing": 43629, + "polit": 2247, + "politan": 15337, + "polite": 31497, + "politi": 40597, + "politic": 33333, + "political": 37744, + "political": 4197, + "politically": 24323, + "politician": 15960, + "politicians": 12914, + "politico": 39403, + "politics": 4929, + "polk": 33317, + "polka": 29476, + "poll": 7032, + "pollen": 27651, + "pollin": 19152, + "pollinators": 36599, + "polling": 18024, + "pollo": 42755, + "pollock": 37614, + "polls": 11813, + "pollu": 8370, + "polluted": 43346, + "pollution": 10384, + "polly": 31204, + "polo": 35928, + "polo": 10229, + "poly": 6833, + "poly": 18367, + "polye": 31730, + "polyester": 38514, + "polym": 23626, + "polymer": 29993, + "polyne": 38892, + "polyvore": 24771, + "pom": 7548, + "pom": 24280, + "pome": 27963, + "pomegran": 29326, + "pomegranate": 32415, + "pomer": 35156, + "pomona": 41690, + "pompe": 18352, + "pompeii": 47775, + "pompeo": 34351, + "pompey": 35079, + "pon": 3809, + "pon": 22391, + "ponce": 43637, + "pond": 10750, + "ponder": 36863, + "pondering": 47395, + "ponds": 31033, + "pone": 32183, + "pong": 40546, + "pong": 17710, + "ponies": 34157, + "pons": 41255, + "pont": 47563, + "pont": 22997, + "ponte": 40892, + "ponti": 15527, + "pontiac": 25373, + "pontifex": 33566, + "ponty": 45152, + "pony": 24438, + "pony": 12678, + "ponytail": 43265, + "poo": 6601, + "poo": 14389, + "pooch": 37037, + "poodle": 34961, + "pooh": 27103, + "pooja": 35676, + "pool": 12484, + "pool": 2831, + "poole": 26290, + "pools": 18736, + "poolside": 35509, + "poon": 33799, + "poon": 36178, + "poop": 23310, + "poor": 14528, + "poor": 3665, + "poorest": 40771, + "poorly": 21101, + "pop": 6530, + "pop": 2852, + "popart": 47425, + "popcorn": 15034, + "pope": 16994, + "pope": 9283, + "popefrancis": 37254, + "poplar": 38726, + "popo": 38835, + "popo": 35572, + "popp": 13156, + "popped": 14934, + "poppies": 30385, + "poppin": 28536, + "popping": 18152, + "poppins": 41216, + "poppy": 32194, + "poppy": 15447, + "pops": 11705, + "popsic": 38481, + "popu": 3785, + "popul": 6593, + "popular": 15854, + "popular": 4368, + "popularity": 19235, + "populated": 38420, + "population": 8423, + "populations": 23797, + "populism": 48998, + "populist": 49376, + "popup": 33053, + "por": 817, + "por": 7697, + "pora": 23537, + "porcel": 19409, + "porcelain": 20451, + "porch": 17154, + "pore": 28267, + "pork": 40379, + "pork": 7897, + "poro": 48110, + "porridge": 34924, + "porsch": 48009, + "porsche": 44049, + "porsche": 8783, + "port": 1641, + "port": 1418, + "porta": 45037, + "portable": 11949, + "portage": 32087, + "portal": 14982, + "porte": 28654, + "ported": 16879, + "porter": 28319, + "porter": 10318, + "porters": 15670, + "portfoli": 45766, + "portfolio": 11938, + "porth": 37425, + "porti": 45760, + "porting": 26052, + "portion": 13739, + "portions": 22914, + "portland": 38366, + "portland": 8880, + "portman": 34755, + "porto": 24853, + "porto": 18947, + "portobello": 48025, + "portra": 4175, + "portrait": 39312, + "portrait": 5352, + "portraits": 14203, + "portray": 46282, + "portrayal": 39238, + "portrayed": 36093, + "ports": 7734, + "portsm": 17063, + "portsmouth": 19074, + "portu": 7159, + "portugal": 9503, + "portugue": 17498, + "portuguese": 18019, + "pos": 1780, + "pos": 11839, + "pose": 25478, + "pose": 4230, + "posed": 5206, + "posei": 47270, + "poser": 46899, + "poses": 9773, + "posey": 34852, + "posh": 26748, + "posing": 10518, + "posit": 28793, + "positi": 7895, + "position": 4657, + "positioned": 34482, + "positioning": 30657, + "positions": 12188, + "positive": 21811, + "positive": 4844, + "positively": 24688, + "positivity": 19966, + "poss": 39745, + "posse": 17414, + "posse": 28413, + "possess": 36810, + "possessed": 36220, + "possession": 16154, + "possessions": 40588, + "possi": 2521, + "possibilities": 17932, + "possibility": 18517, + "possible": 3134, + "possibly": 8601, + "possum": 38575, + "post": 3489, + "post": 1549, + "postage": 27570, + "postal": 21687, + "postcard": 14785, + "postcards": 23922, + "postdoc": 41013, + "posted": 4752, + "poster": 22881, + "poster": 3574, + "posters": 9673, + "postgame": 34873, + "postgraduate": 31997, + "posthum": 42410, + "posting": 7559, + "postman": 38285, + "postpon": 23247, + "postponed": 25097, + "posts": 7824, + "postseason": 24521, + "posture": 29681, + "posure": 35539, + "pot": 3547, + "pot": 5168, + "potam": 45825, + "potassi": 36889, + "potassium": 37147, + "potat": 5975, + "potato": 8527, + "potatoes": 11567, + "potd": 28765, + "pote": 41869, + "poten": 4454, + "potent": 26082, + "potenti": 44104, + "potential": 5100, + "potentially": 16508, + "potholes": 47506, + "potion": 46055, + "potom": 38848, + "potomac": 43372, + "pots": 19234, + "pott": 28698, + "potted": 48581, + "potter": 24975, + "potter": 9026, + "pottery": 18396, + "potts": 39839, + "potty": 43569, + "potus": 8740, + "pou": 9423, + "pouch": 26811, + "poul": 22485, + "poultry": 31005, + "poun": 33719, + "pound": 33809, + "pound": 10674, + "pounding": 46544, + "pounds": 10752, + "pour": 33112, + "pour": 8180, + "poured": 26621, + "pouring": 16098, + "pours": 26005, + "pout": 39621, + "poutine": 43768, + "pov": 25731, + "pover": 8432, + "pover": 29464, + "poverty": 9095, + "pow": 1317, + "pow": 17745, + "powder": 32427, + "powder": 9674, + "powe": 36955, + "powell": 13305, + "power": 2789, + "power": 1807, + "powerball": 47803, + "powered": 45442, + "powered": 7332, + "powerful": 4875, + "powerhouse": 22858, + "powering": 16231, + "powerof": 31961, + "powerpoint": 38940, + "powerrangers": 40620, + "powers": 9422, + "pox": 43649, + "poy": 34737, + "poyn": 47655, + "poz": 39953, + "pp": 604, + "pp": 4186, + "ppa": 10416, + "ppard": 23391, + "ppc": 27778, + "ppe": 24573, + "ppe": 11867, + "pped": 1873, + "ppel": 46523, + "ppen": 30663, + "pper": 6719, + "pper": 2440, + "ppers": 5232, + "ppery": 27833, + "ppet": 20744, + "ppets": 25849, + "ppg": 27433, + "ppi": 9594, + "ppie": 33795, + "ppin": 8076, + "pping": 22214, + "pping": 1682, + "ppings": 35687, + "ppl": 6758, + "pple": 12302, + "ppm": 42053, + "ppo": 10215, + "ppor": 37613, + "ppp": 14017, + "pps": 10683, + "ppv": 38864, + "ppy": 30360, + "ppy": 3860, + "pr": 766, + "pr": 4150, + "pra": 1865, + "pra": 19285, + "prab": 17901, + "prabhas": 29959, + "prabhu": 31529, + "prac": 2243, + "practi": 29995, + "practic": 5495, + "practical": 10792, + "practically": 25588, + "practice": 3349, + "practiced": 36749, + "practices": 9040, + "practicing": 12750, + "practise": 38938, + "practising": 36478, + "practiti": 19909, + "practitioner": 32591, + "practitioners": 29045, + "prada": 29456, + "pradesh": 15384, + "prado": 44141, + "prag": 31025, + "prague": 14940, + "prairi": 12629, + "prairie": 14753, + "praise": 10013, + "praised": 27649, + "praises": 23049, + "praising": 36961, + "prakash": 43708, + "prakash": 25366, + "pram": 47774, + "pran": 20048, + "prank": 23654, + "pras": 41562, + "prasad": 29562, + "prat": 23069, + "prati": 45773, + "pratt": 37863, + "pratt": 23396, + "prawn": 33102, + "prawns": 34903, + "pray": 12671, + "pray": 6041, + "prayed": 34665, + "prayer": 41452, + "prayer": 6583, + "prayers": 8393, + "prayfor": 18443, + "praying": 11550, + "prays": 46602, + "prc": 28781, + "pre": 679, + "pre": 2900, + "preach": 22545, + "preacher": 29357, + "preaching": 23642, + "precau": 36532, + "precautions": 47845, + "prece": 15361, + "preci": 5470, + "precin": 27908, + "precinct": 32587, + "precious": 8226, + "precipit": 27463, + "precipitation": 33399, + "precise": 24457, + "precisely": 34954, + "precision": 44021, + "precision": 15621, + "pred": 40370, + "predat": 13364, + "predator": 20653, + "predators": 25569, + "prede": 38454, + "predecess": 38963, + "predic": 4876, + "predict": 16900, + "predictable": 25344, + "predicted": 18702, + "predicting": 30414, + "prediction": 16296, + "predictions": 15125, + "predictive": 29798, + "predicts": 25960, + "preds": 40125, + "pree": 47026, + "preet": 30131, + "prefe": 14542, + "prefecture": 32890, + "prefer": 33426, + "prefer": 11450, + "preference": 35057, + "preferences": 38118, + "preferred": 18772, + "prefers": 38528, + "pregame": 18575, + "pregn": 7190, + "pregnancy": 12769, + "pregnant": 11195, + "prehistoric": 32750, + "prejudice": 28337, + "preli": 15523, + "prelimin": 19990, + "preliminary": 20997, + "prelims": 43223, + "prelude": 42966, + "prem": 32090, + "prem": 21724, + "premature": 39253, + "premi": 2413, + "premier": 16996, + "premier": 5539, + "premiere": 5367, + "premiered": 27652, + "premieres": 19907, + "premiering": 32615, + "premierleague": 22608, + "premiers": 44883, + "premiership": 23665, + "premiosm": 38460, + "premiosmtvmiaw": 38630, + "premise": 45952, + "premises": 27266, + "premium": 8011, + "pren": 20801, + "preneur": 46288, + "preorder": 16703, + "preorders": 45985, + "prep": 6430, + "prep": 7277, + "prepa": 26270, + "prepaid": 42934, + "prepar": 4968, + "preparation": 11651, + "preparations": 19135, + "prepare": 7014, + "prepared": 7677, + "preparedness": 29492, + "prepares": 16375, + "preparing": 7365, + "prepped": 34379, + "prepping": 16459, + "preps": 14765, + "prequel": 40461, + "pres": 1385, + "pres": 8529, + "presale": 27135, + "presby": 30447, + "presbyter": 33959, + "presbyterian": 35370, + "preschool": 24354, + "prescott": 29392, + "prescri": 14851, + "prescribed": 36968, + "prescription": 23061, + "preseason": 13813, + "presen": 16742, + "presence": 8848, + "present": 2344, + "present": 2881, + "presentation": 4594, + "presentations": 16998, + "presented": 4587, + "presenter": 18587, + "presenters": 32759, + "presenting": 5339, + "presents": 4215, + "preserv": 17616, + "preservation": 21074, + "preserve": 15570, + "preserved": 23161, + "preserves": 44881, + "preserving": 32315, + "presi": 1697, + "presiden": 43374, + "presidency": 18077, + "president": 19900, + "president": 1940, + "presidente": 47363, + "presidenti": 48297, + "presidential": 8503, + "presidents": 16726, + "presiding": 45298, + "presley": 30013, + "press": 4124, + "press": 2124, + "pressed": 20080, + "presser": 27826, + "presses": 33748, + "pressing": 20893, + "pressure": 6083, + "pressures": 38487, + "prest": 41840, + "presti": 12245, + "prestige": 29328, + "prestigious": 15888, + "presto": 42211, + "preston": 37335, + "preston": 15179, + "presu": 21667, + "presumably": 42562, + "pret": 9652, + "preten": 15871, + "pretend": 18111, + "pretending": 21306, + "pretoria": 36080, + "prett": 46667, + "prettier": 31745, + "prettiest": 22866, + "pretty": 18286, + "pretty": 2111, + "pretz": 24890, + "pretzel": 36707, + "pretzels": 45468, + "prev": 20274, + "prevail": 31637, + "prevalence": 41729, + "prevalent": 46260, + "preven": 29382, + "prevent": 26436, + "prevent": 7968, + "preventable": 44250, + "prevented": 35356, + "preventing": 21756, + "prevention": 9500, + "preventive": 40949, + "prevents": 31746, + "preview": 4449, + "previews": 20279, + "previous": 9252, + "previously": 13359, + "prey": 17131, + "prez": 17956, + "pri": 955, + "pri": 23400, + "pric": 24275, + "price": 13254, + "price": 2827, + "priced": 16934, + "priceless": 15743, + "prices": 5954, + "pricing": 14800, + "prick": 43921, + "prick": 46516, + "pride": 15323, + "pride": 3436, + "pridemonth": 41410, + "prie": 22477, + "priest": 38756, + "priest": 14222, + "priests": 30005, + "prim": 22004, + "prima": 35611, + "prima": 33277, + "primal": 36604, + "primar": 21579, + "primaries": 46126, + "primarily": 29465, + "primark": 48329, + "primary": 35024, + "primary": 5814, + "primavera": 44899, + "prime": 14162, + "prime": 5183, + "primed": 45694, + "primer": 22388, + "primetime": 29763, + "primitive": 37467, + "primo": 43215, + "primrose": 45891, + "prin": 1588, + "prince": 9457, + "prince": 4735, + "princes": 45329, + "princes": 30136, + "princess": 24123, + "princess": 5079, + "princesses": 34161, + "princeton": 22433, + "princi": 5129, + "principal": 33599, + "principal": 8860, + "principals": 27524, + "principle": 19595, + "principles": 13755, + "print": 17851, + "print": 3557, + "printable": 29648, + "printed": 7978, + "printer": 14521, + "printers": 27881, + "printing": 7369, + "printmaking": 38669, + "prints": 7704, + "prior": 20328, + "prior": 10572, + "priorit": 47773, + "prioriti": 28822, + "priorities": 15232, + "prioritize": 46715, + "priority": 12451, + "priory": 38665, + "prisc": 32468, + "priscilla": 42396, + "prise": 23343, + "prism": 49311, + "prism": 34356, + "prison": 9281, + "prison": 6622, + "prisoner": 21427, + "prisoners": 17460, + "prisons": 26607, + "pristine": 30618, + "prit": 41668, + "prit": 37523, + "prith": 39173, + "prius": 43561, + "priv": 3270, + "privacy": 10437, + "private": 20362, + "private": 4439, + "privately": 32970, + "privati": 27379, + "privi": 8367, + "privileg": 18015, + "privilege": 11537, + "privileged": 18166, + "prix": 10875, + "priya": 31275, + "priyan": 16488, + "priyanka": 31959, + "priyankach": 30030, + "priyankachopra": 30264, + "prize": 48222, + "prize": 4521, + "prized": 38769, + "prizes": 9268, + "prk": 37094, + "pro": 644, + "pro": 2630, + "proactive": 33364, + "prob": 17706, + "prob": 24007, + "probab": 3907, + "probability": 32637, + "probable": 42444, + "probably": 4047, + "probation": 36531, + "probe": 14359, + "probes": 48564, + "probiotics": 49395, + "proble": 2719, + "problem": 4324, + "problematic": 33767, + "problems": 4671, + "probs": 16330, + "probz": 34243, + "proc": 38417, + "proce": 4076, + "procedu": 18204, + "procedural": 48177, + "procedure": 20163, + "procedures": 21109, + "proceed": 26664, + "proceed": 33894, + "proceedings": 26953, + "proceeds": 11882, + "process": 17291, + "process": 4078, + "processed": 23816, + "processes": 15169, + "processing": 11737, + "procession": 26288, + "processor": 22838, + "processors": 43634, + "proclaimed": 34489, + "proclamation": 32065, + "procra": 25361, + "procrastin": 25586, + "procrastination": 42825, + "procreate": 39336, + "proctor": 47204, + "procu": 21001, + "procurement": 23733, + "prod": 44349, + "prod": 11991, + "prodi": 27759, + "prodigy": 31973, + "produ": 27852, + "produc": 1471, + "produce": 7529, + "produced": 7479, + "producer": 7064, + "producers": 13883, + "produces": 19940, + "producing": 13579, + "product": 32602, + "product": 4306, + "production": 4146, + "productions": 14166, + "productive": 9697, + "productivity": 12800, + "products": 3964, + "prof": 15043, + "prof": 5488, + "profe": 2611, + "profess": 5486, + "professi": 3705, + "profession": 8104, + "profession": 19671, + "professional": 46007, + "professional": 4774, + "professionalism": 41252, + "professionally": 33892, + "professionals": 10165, + "professor": 47302, + "professor": 6092, + "professors": 27758, + "profici": 34685, + "profile": 14291, + "profile": 6444, + "profiles": 22070, + "profiling": 37123, + "profit": 16941, + "profit": 7909, + "profitable": 25465, + "profits": 13410, + "profound": 48245, + "profound": 22998, + "profs": 19260, + "prog": 22219, + "progno": 46070, + "program": 4162, + "program": 2737, + "programme": 6322, + "programmer": 37001, + "programmes": 20468, + "programming": 10831, + "programs": 7345, + "progre": 7069, + "progress": 4421, + "progressi": 23297, + "progressing": 32346, + "progression": 24772, + "progressive": 12208, + "progressives": 41709, + "prohi": 41124, + "prohib": 45040, + "prohibition": 34440, + "proj": 39156, + "proje": 48345, + "projec": 1610, + "project": 15911, + "project": 1965, + "projected": 22873, + "projection": 22384, + "projections": 34638, + "projector": 27816, + "projects": 5090, + "proli": 19710, + "prolife": 32126, + "prolifer": 39018, + "prolific": 27839, + "prolly": 45968, + "prolon": 35379, + "prolonged": 41972, + "prom": 40363, + "prom": 7944, + "prome": 34355, + "promen": 33578, + "promenade": 35522, + "promethe": 44183, + "promin": 35217, + "prominent": 19172, + "promis": 3963, + "promise": 6745, + "promised": 11516, + "promises": 12064, + "promising": 14183, + "promo": 3037, + "promo": 6755, + "promos": 35044, + "promote": 47384, + "promote": 8003, + "promoted": 16395, + "promoter": 33081, + "promotes": 20169, + "promoting": 9695, + "promotion": 9259, + "promotional": 17619, + "promotions": 19142, + "promp": 11671, + "prompt": 20198, + "prompted": 45746, + "prompts": 33490, + "proms": 37759, + "pron": 13285, + "prone": 30964, + "pronoun": 23022, + "pronounce": 40489, + "pronounced": 34109, + "pronto": 44296, + "proof": 17020, + "proof": 5248, + "proofing": 35679, + "proofs": 41023, + "prop": 19123, + "prop": 16254, + "propag": 12151, + "propaganda": 14718, + "propane": 45546, + "propel": 48439, + "propeller": 47404, + "proper": 3577, + "proper": 8205, + "properly": 12560, + "properties": 10922, + "property": 26486, + "property": 5043, + "prophe": 9662, + "prophecy": 32501, + "prophet": 15549, + "prophetic": 47476, + "prophets": 39441, + "propor": 35016, + "proportion": 35775, + "proportions": 39391, + "propos": 9455, + "proposal": 12139, + "proposals": 20568, + "propose": 28471, + "proposed": 10615, + "proposes": 27133, + "proposing": 42631, + "proposition": 44780, + "propri": 28243, + "props": 15249, + "propulsion": 49380, + "pros": 33925, + "pros": 14147, + "prosciutto": 46565, + "prose": 47063, + "prose": 28675, + "prosecco": 28839, + "prosecu": 12136, + "prosecution": 30902, + "prosecutor": 23736, + "prosecutors": 31656, + "prosp": 24242, + "prospec": 12693, + "prospect": 11211, + "prospective": 28034, + "prospects": 15372, + "prosper": 16121, + "prosper": 33526, + "prosperity": 17203, + "prosperous": 28252, + "prost": 47923, + "prostate": 28808, + "prostatec": 49064, + "prosthetic": 44602, + "prostitu": 37333, + "protag": 28950, + "protagonist": 38183, + "prote": 1845, + "protec": 5640, + "protect": 25563, + "protect": 4817, + "protected": 12266, + "protecting": 11710, + "protection": 6238, + "protections": 33772, + "protective": 17028, + "protector": 20441, + "protectors": 45039, + "protects": 21889, + "protein": 8088, + "proteins": 28661, + "protest": 6279, + "protestant": 46945, + "protested": 48089, + "protester": 42073, + "protesters": 12660, + "protesting": 18788, + "protestors": 27822, + "protests": 12450, + "proto": 8672, + "proto": 44958, + "protocol": 19938, + "protocols": 39631, + "proton": 40009, + "prototype": 16675, + "prototyping": 42081, + "prou": 5739, + "proud": 11080, + "proud": 1679, + "prouder": 39585, + "proudest": 46806, + "proudly": 11203, + "proudof": 48184, + "proudtobe": 35043, + "prov": 23772, + "prov": 35021, + "prove": 10107, + "proved": 16473, + "proven": 35405, + "proven": 14569, + "provence": 28067, + "prover": 18312, + "proverb": 34419, + "proverbs": 27016, + "proves": 16119, + "provi": 2289, + "provide": 4832, + "provided": 9046, + "providence": 19331, + "provider": 14409, + "providers": 17120, + "provides": 7161, + "providing": 7250, + "provin": 12074, + "province": 8978, + "provinces": 35050, + "provincial": 16002, + "proving": 18055, + "provision": 30148, + "provisional": 36008, + "provisions": 39269, + "provo": 15367, + "provoc": 31618, + "provocative": 43809, + "provoking": 25510, + "provost": 36627, + "prow": 38737, + "prowrestling": 39825, + "prox": 41616, + "proxim": 31436, + "proximity": 38298, + "proxy": 31680, + "prs": 23879, + "pru": 12961, + "pruitt": 39453, + "prun": 29029, + "pruning": 48133, + "pry": 31965, + "pryor": 43375, + "ps": 3982, + "ps": 814, + "psa": 14031, + "psal": 13859, + "psalm": 17995, + "psalms": 35003, + "psb": 37017, + "psc": 43118, + "psd": 28810, + "pse": 19737, + "pse": 5423, + "pseu": 24919, + "pseudo": 46618, + "psg": 17123, + "psi": 45848, + "psi": 24533, + "psic": 29299, + "psis": 33041, + "psl": 21373, + "psn": 36781, + "pso": 27045, + "pson": 7487, + "psori": 44688, + "psp": 32769, + "pss": 35718, + "pss": 42535, + "psst": 47814, + "pst": 12692, + "psu": 41286, + "psu": 28338, + "psv": 44530, + "psy": 3576, + "psy": 11056, + "psych": 31041, + "psych": 20509, + "psyched": 19932, + "psyched": 35199, + "psychedelic": 23292, + "psychi": 18147, + "psychiatric": 30578, + "psychiatry": 39706, + "psychic": 24916, + "psycho": 6472, + "psycho": 22154, + "psychological": 18153, + "psychologist": 32827, + "psychology": 12352, + "psychop": 30112, + "psychotic": 48774, + "pt": 11139, + "pt": 1459, + "pta": 11586, + "ptbo": 40481, + "ptc": 44646, + "pte": 47804, + "pter": 49323, + "pti": 29375, + "pti": 10491, + "ptic": 20670, + "ption": 3479, + "ptions": 24963, + "pto": 31372, + "pto": 34092, + "pton": 19780, + "pts": 5886, + "ptsd": 23973, + "ptv": 42402, + "pu": 755, + "pu": 11780, + "pub": 20720, + "pub": 6301, + "puberty": 44122, + "pubg": 31496, + "publ": 3434, + "publi": 1617, + "public": 3592, + "public": 2122, + "publica": 49007, + "publication": 13538, + "publications": 27334, + "publichealth": 35872, + "publicity": 20831, + "publicly": 18554, + "publish": 19032, + "published": 4311, + "publisher": 20455, + "publishers": 25222, + "publishes": 35633, + "publishing": 10994, + "publix": 47985, + "pubs": 21099, + "puc": 48779, + "puck": 17550, + "pud": 39234, + "pudding": 14025, + "puddle": 33545, + "pue": 20161, + "pueblo": 33076, + "puer": 8968, + "puerto": 12289, + "puertor": 22757, + "puertorico": 26356, + "puff": 44477, + "puff": 17184, + "puffin": 47632, + "puffs": 47453, + "puffy": 49245, + "pug": 20950, + "pug": 17739, + "pugchat": 42266, + "pugh": 41302, + "puglia": 38345, + "pugs": 39425, + "puj": 46163, + "puja": 33753, + "puk": 31811, + "pul": 2469, + "pul": 40512, + "pula": 45856, + "puli": 47293, + "pulit": 27745, + "pulitzer": 31419, + "pull": 20155, + "pull": 6857, + "pulled": 8525, + "pulling": 12897, + "pullman": 40203, + "pullover": 44020, + "pulls": 16041, + "pulmon": 32613, + "pulmonary": 39132, + "pulp": 25410, + "pulse": 40091, + "pulse": 12485, + "pulses": 42177, + "pulsion": 35398, + "pum": 37497, + "puma": 20858, + "pump": 5179, + "pump": 9173, + "pumped": 12796, + "pumping": 25150, + "pumpkin": 36386, + "pumpkin": 8842, + "pumpkins": 23787, + "pumps": 18540, + "pun": 2707, + "pun": 19929, + "punc": 43907, + "punch": 29332, + "punch": 10730, + "punched": 31689, + "punches": 35279, + "punching": 33468, + "punctu": 31565, + "punctuation": 47051, + "pundit": 41466, + "pune": 32593, + "pune": 14488, + "pung": 45420, + "puni": 11479, + "punish": 34569, + "punished": 31598, + "punisher": 38509, + "punishment": 19099, + "punjab": 19405, + "punjab": 12883, + "punjabi": 25430, + "punk": 28933, + "punk": 7246, + "punks": 47171, + "puns": 35231, + "punt": 32699, + "punta": 34112, + "punter": 47092, + "pup": 11926, + "pup": 11302, + "pupil": 27265, + "pupils": 13628, + "pupp": 7116, + "puppet": 18439, + "puppets": 28475, + "puppies": 14820, + "puppy": 25431, + "puppy": 6829, + "puppylove": 40849, + "pups": 20778, + "pur": 1727, + "pur": 6265, + "pura": 25596, + "puram": 46174, + "purcell": 46065, + "purch": 8384, + "purchase": 5481, + "purchased": 13399, + "purchases": 21887, + "purchasing": 20718, + "purdu": 40691, + "purdue": 22280, + "pure": 14202, + "pure": 5979, + "puree": 45474, + "purely": 32459, + "puremichigan": 39783, + "purest": 45497, + "purge": 33514, + "puri": 16910, + "puri": 21974, + "purification": 47724, + "purity": 29780, + "purple": 17837, + "purple": 5496, + "purpose": 33492, + "purpose": 7391, + "purposes": 22020, + "purr": 49262, + "purr": 46343, + "purse": 16480, + "pursue": 19463, + "pursuing": 26424, + "pursuit": 16469, + "purée": 40981, + "pus": 13841, + "pusa": 40825, + "push": 16028, + "push": 6831, + "pushaw": 35407, + "pushaward": 35448, + "pushawards": 47184, + "pushed": 16155, + "pushes": 23828, + "pushing": 11549, + "put": 29535, + "put": 1983, + "putin": 10693, + "putnam": 40235, + "puts": 7898, + "putt": 30279, + "putter": 44723, + "putting": 5154, + "puzz": 19760, + "puzzle": 12875, + "puzzles": 27986, + "pv": 14517, + "pv": 13495, + "pvc": 26959, + "pvp": 44172, + "pvt": 29898, + "pw": 19419, + "pw": 16067, + "pwc": 22965, + "px": 24790, + "px": 10262, + "pxrtg": 36262, + "py": 4005, + "py": 7504, + "pye": 31099, + "pyeongchang": 36066, + "pyg": 41450, + "pyram": 14405, + "pyramid": 18725, + "pyramids": 36877, + "pyrene": 36740, + "pyrenees": 39744, + "pyro": 39762, + "python": 13370, + "pz": 48361, + "pé": 43167, + "q": 80, + "q": 336, + "qa": 24944, + "qa": 16360, + "qad": 27844, + "qadri": 35672, + "qaeda": 31246, + "qanda": 48672, + "qanon": 19182, + "qant": 35404, + "qantas": 43250, + "qatar": 32804, + "qatar": 10872, + "qb": 8073, + "qbs": 38188, + "qc": 17406, + "qe": 30974, + "qf": 27215, + "qi": 25054, + "qi": 11256, + "qing": 46522, + "qing": 34339, + "ql": 28366, + "qld": 23039, + "qld": 13765, + "qldpol": 42296, + "qm": 42148, + "qotd": 24504, + "qpr": 24788, + "qq": 31960, + "qr": 18193, + "qs": 14364, + "qt": 15013, + "qtr": 44803, + "qu": 666, + "qu": 28646, + "qua": 20363, + "quack": 45575, + "quad": 11656, + "quad": 13419, + "quadcopter": 39792, + "quadru": 35831, + "quaid": 34265, + "quail": 34392, + "quaint": 45976, + "quake": 8421, + "quaker": 43395, + "quakes": 24572, + "qual": 9979, + "qual": 32405, + "qualcomm": 38683, + "quali": 4574, + "qualification": 21508, + "qualifications": 35225, + "qualified": 11927, + "qualifier": 18733, + "qualifiers": 21388, + "qualifies": 35820, + "qualify": 17019, + "qualifying": 11895, + "qualitative": 45847, + "qualities": 20488, + "quality": 28545, + "quality": 3027, + "quan": 11669, + "quan": 27490, + "quand": 28198, + "quant": 15050, + "quanti": 31540, + "quantitative": 40583, + "quantities": 33917, + "quantity": 26920, + "quantum": 15320, + "quar": 3856, + "quare": 42549, + "quarry": 27601, + "quart": 7851, + "quarter": 8816, + "quarter": 6632, + "quarterback": 16545, + "quarterfinal": 37992, + "quarterfinals": 28971, + "quarterly": 23350, + "quarters": 10146, + "quartet": 18056, + "quartz": 17752, + "quat": 25715, + "quattro": 40300, + "quay": 40276, + "quay": 17304, + "que": 1147, + "que": 2319, + "quebec": 15373, + "queen": 6407, + "queen": 2997, + "queenof": 44398, + "queens": 22943, + "queens": 9330, + "queensland": 15168, + "queer": 38874, + "queer": 18161, + "quel": 39774, + "quel": 21879, + "quen": 23876, + "quen": 38324, + "quent": 23808, + "quentin": 27530, + "quer": 17378, + "quer": 26859, + "quered": 23210, + "queries": 32958, + "querque": 30338, + "query": 27464, + "ques": 25328, + "ques": 7715, + "queso": 40110, + "quest": 31653, + "quest": 4846, + "questi": 2391, + "question": 18961, + "question": 4382, + "questionable": 30733, + "questioned": 31847, + "questioning": 24887, + "questions": 3883, + "quests": 44611, + "quet": 8513, + "quets": 39055, + "quetta": 38326, + "quette": 18993, + "queu": 32705, + "queue": 18549, + "queues": 40649, + "queuing": 44082, + "quez": 18677, + "quezon": 41117, + "qui": 1912, + "qui": 18046, + "quic": 26474, + "quiche": 47723, + "quick": 5969, + "quick": 3712, + "quicker": 29211, + "quickest": 37734, + "quickly": 7787, + "quid": 30732, + "quie": 43875, + "quien": 43482, + "quiere": 42723, + "quiero": 32567, + "quiet": 17853, + "quiet": 7557, + "quietly": 22208, + "quig": 44690, + "quil": 12305, + "quill": 48951, + "quilt": 23977, + "quilted": 46052, + "quin": 8607, + "quin": 17167, + "quincy": 27640, + "quind": 32339, + "quinn": 12306, + "quinoa": 26703, + "quins": 39701, + "quint": 26898, + "quinta": 47446, + "quinte": 22098, + "quintess": 37538, + "quintet": 35125, + "quipment": 42813, + "quir": 15943, + "quirky": 25044, + "quis": 15064, + "quist": 25128, + "quit": 19358, + "quit": 11140, + "quite": 4135, + "quito": 35828, + "quits": 32505, + "quitting": 33871, + "quity": 33133, + "quiz": 31197, + "quiz": 8344, + "quizz": 35041, + "quo": 3046, + "quo": 28127, + "quoi": 45549, + "quot": 5452, + "quot": 47587, + "quota": 42097, + "quotation": 49195, + "quote": 15446, + "quote": 4020, + "quoted": 27706, + "quoteoftheday": 19975, + "quotes": 5808, + "quoting": 31651, + "qur": 37782, + "quran": 19690, + "qureshi": 46307, + "qvist": 42322, + "qx": 45038, + "r": 81, + "r": 337, + "ra": 559, + "ra": 1735, + "raa": 44344, + "rab": 14816, + "rab": 33224, + "rabb": 6875, + "rabbi": 20959, + "rabbit": 10274, + "rabbits": 27028, + "rabhu": 25806, + "rable": 10182, + "rac": 1773, + "rac": 30462, + "raccoon": 29516, + "race": 10978, + "race": 2471, + "racec": 18814, + "racecourse": 25036, + "raced": 36021, + "racer": 16798, + "racers": 33603, + "races": 8605, + "raceway": 24650, + "rach": 6876, + "rach": 33429, + "racha": 21952, + "racha": 35022, + "rachael": 29095, + "rachel": 13511, + "rachel": 8029, + "raci": 33381, + "racial": 13801, + "racially": 43577, + "racing": 23306, + "racing": 3699, + "racism": 11276, + "racist": 9684, + "racists": 41777, + "rack": 24600, + "rack": 12034, + "racket": 37691, + "racks": 21191, + "rad": 4473, + "rad": 8238, + "rada": 30437, + "radar": 9672, + "radcliffe": 33096, + "rade": 44494, + "rade": 17911, + "rader": 45002, + "radford": 45800, + "radha": 43122, + "radi": 5772, + "radial": 42028, + "radiance": 45670, + "radiant": 25614, + "radiation": 18210, + "radiator": 39372, + "radic": 18082, + "radical": 13712, + "radicals": 45903, + "radio": 7176, + "radio": 2638, + "radioactive": 34704, + "radiodisney": 36483, + "radiohead": 39472, + "radiology": 29684, + "radios": 43669, + "radish": 37789, + "radius": 37570, + "rado": 29784, + "rae": 21646, + "rae": 15051, + "rael": 45390, + "raer": 44561, + "raf": 11495, + "raf": 11490, + "rafa": 14352, + "rafa": 24850, + "rafael": 38221, + "rafael": 19216, + "rafaelnadal": 49219, + "raff": 34900, + "raffic": 32928, + "raffle": 13752, + "raffles": 43489, + "rafi": 35304, + "raft": 9233, + "rafting": 36309, + "rag": 13958, + "rag": 20687, + "rage": 8593, + "rages": 34253, + "ragh": 35642, + "ragha": 40972, + "raging": 25015, + "ragn": 24125, + "ragnar": 34385, + "ragnarok": 41856, + "ragon": 34768, + "rags": 47838, + "rah": 12277, + "rah": 8766, + "raheem": 43317, + "rahim": 24152, + "rahman": 19680, + "rahu": 13129, + "rahul": 37239, + "rahul": 17440, + "rahulg": 27510, + "rahulgandhi": 28293, + "rai": 9165, + "rai": 9638, + "raid": 6877, + "raided": 43417, + "raider": 27368, + "raider": 21455, + "raidernation": 47901, + "raiders": 11817, + "raids": 26655, + "rail": 4573, + "rail": 6879, + "raila": 47273, + "railminindia": 35557, + "railroad": 17080, + "rails": 23427, + "railway": 27614, + "railway": 7856, + "railwayana": 46750, + "railways": 20765, + "raim": 45785, + "rain": 3128, + "rain": 2443, + "raina": 30564, + "rainbow": 24562, + "rainbow": 6286, + "rainbows": 30483, + "raine": 49038, + "raine": 6871, + "rained": 32310, + "rainf": 15024, + "rainfall": 15350, + "rainforest": 22823, + "rainier": 37850, + "raining": 13964, + "rains": 14272, + "rainy": 10222, + "rais": 14729, + "raise": 24249, + "raise": 5078, + "raised": 6027, + "raiser": 33555, + "raises": 13297, + "raisethe": 47109, + "raisin": 36864, + "raising": 6883, + "raj": 5958, + "raj": 10813, + "raja": 46069, + "raja": 19150, + "rajan": 46595, + "rajas": 16185, + "rajasthan": 18017, + "raje": 21899, + "rajesh": 43602, + "raji": 27569, + "rajini": 29600, + "rajini": 40622, + "rajinikanth": 32922, + "rajiv": 40197, + "rajkumar": 49304, + "rajput": 47572, + "raju": 47029, + "rak": 13523, + "rak": 26287, + "rake": 26825, + "rake": 32712, + "rakesh": 41083, + "ral": 8062, + "ral": 1406, + "rale": 14192, + "raleigh": 18207, + "rall": 23249, + "rallies": 25230, + "rally": 18882, + "rally": 5041, + "rallying": 36836, + "ralph": 25290, + "ralph": 12234, + "ram": 1976, + "ram": 2007, + "rama": 22112, + "ramad": 12736, + "ramadan": 15547, + "ramadhan": 47415, + "raman": 39816, + "ramapho": 43963, + "ramaphosa": 44993, + "ramatta": 49112, + "rambo": 41855, + "ramcharan": 45275, + "rame": 47745, + "ramen": 18892, + "ramesh": 48640, + "ramesh": 40186, + "rami": 43016, + "ramirez": 23877, + "ramon": 27958, + "ramone": 47201, + "ramos": 21046, + "ramp": 14271, + "rampage": 32077, + "rampant": 41985, + "ramps": 35257, + "rams": 10292, + "ramsay": 26259, + "ramsey": 19215, + "ran": 1433, + "ran": 4031, + "rana": 22143, + "ranbir": 40881, + "rance": 29034, + "ranch": 43955, + "ranch": 10659, + "rancho": 26258, + "rand": 5628, + "rand": 18718, + "randall": 23639, + "rande": 21469, + "randolph": 29899, + "random": 11396, + "random": 6160, + "randomly": 17272, + "rands": 39153, + "randy": 29479, + "randy": 13279, + "rane": 28852, + "rang": 4043, + "rang": 24377, + "range": 13627, + "range": 3818, + "ranger": 31472, + "ranger": 13593, + "rangers": 7664, + "ranges": 25685, + "ranging": 25946, + "rani": 29264, + "rani": 22631, + "rank": 11501, + "ranked": 8307, + "rankin": 37539, + "ranking": 12347, + "rankings": 12596, + "ranks": 14469, + "rano": 18608, + "rans": 46259, + "ransom": 28523, + "ransom": 34646, + "ransomware": 33815, + "rant": 46467, + "rant": 9819, + "rants": 34014, + "ranveer": 32402, + "ranveer": 41482, + "ranveerofficial": 42116, + "rao": 16913, + "rap": 7773, + "rap": 7348, + "rape": 46099, + "rape": 10070, + "raped": 23700, + "rapha": 22754, + "raphael": 30091, + "rapi": 8610, + "rapid": 47697, + "rapid": 12205, + "rapidly": 16710, + "rapids": 18848, + "raping": 44926, + "rapist": 33360, + "rapp": 19283, + "rapper": 11860, + "rappers": 30315, + "rapping": 42864, + "raps": 37887, + "raptor": 26762, + "raptors": 17035, + "raq": 39787, + "raq": 43312, + "raqqa": 47074, + "raquel": 44338, + "rar": 26819, + "rar": 24605, + "rard": 21012, + "rare": 18992, + "rare": 3865, + "rarely": 17315, + "rarest": 43237, + "rarity": 45862, + "ras": 23492, + "ras": 8224, + "rasc": 30085, + "rascal": 43481, + "rash": 14917, + "rash": 30608, + "rashad": 46527, + "rasheed": 41638, + "rashi": 19426, + "rashid": 26757, + "rasp": 10487, + "raspberries": 37742, + "raspberry": 40162, + "raspberry": 13615, + "raspberrypi": 43934, + "rass": 45654, + "rasta": 47002, + "rat": 3806, + "rat": 8985, + "rata": 28568, + "ratchet": 25078, + "rate": 5068, + "rated": 8183, + "rates": 6864, + "rath": 18268, + "rath": 39772, + "rather": 5252, + "rati": 11486, + "rating": 10567, + "ratings": 14176, + "ratio": 15893, + "ration": 27002, + "ration": 35662, + "rational": 33086, + "ratna": 49078, + "ratri": 32288, + "rats": 19043, + "ratt": 20737, + "ratt": 34785, + "rattle": 40824, + "rattle": 41839, + "rau": 27744, + "raul": 30218, + "raun": 41169, + "rav": 14367, + "rav": 23606, + "rave": 38784, + "rave": 17601, + "ravel": 27927, + "raven": 10269, + "raven": 16803, + "ravens": 17946, + "ravi": 22947, + "ravi": 19538, + "ravin": 39099, + "raving": 45807, + "raviol": 41104, + "ravioli": 43460, + "raw": 10166, + "raw": 6323, + "rawlings": 40662, + "rax": 38520, + "ray": 5312, + "ray": 3077, + "raya": 29991, + "raymond": 16683, + "rayn": 47852, + "rayon": 47900, + "rays": 11064, + "raz": 9700, + "raz": 19087, + "raza": 37724, + "razer": 33832, + "razor": 24934, + "razor": 21300, + "razz": 43769, + "rb": 12740, + "rb": 7477, + "rbc": 37500, + "rbi": 15687, + "rbs": 29102, + "rc": 7575, + "rc": 7457, + "rca": 33942, + "rcb": 45240, + "rcmp": 31489, + "rcn": 49370, + "rctid": 49223, + "rd": 13501, + "rd": 1973, + "rda": 45755, + "rdr": 44364, + "rds": 32378, + "re": 515, + "re": 810, + "rea": 11521, + "reach": 4483, + "reach": 4279, + "reached": 6878, + "reaches": 14462, + "reaching": 11358, + "react": 36566, + "react": 15065, + "reacted": 42515, + "reacting": 40595, + "reaction": 7189, + "reactions": 18438, + "reactive": 42072, + "reactjs": 46173, + "reactor": 32037, + "reacts": 23115, + "read": 933, + "read": 1199, + "reader": 9884, + "readers": 10335, + "readiness": 28131, + "reading": 17556, + "reading": 2337, + "readingfc": 47428, + "readings": 23361, + "reads": 6597, + "ready": 17351, + "ready": 1112, + "reagan": 17767, + "real": 2017, + "real": 1532, + "realdonaldtrump": 7025, + "reale": 5930, + "realest": 45855, + "realestate": 32937, + "realestate": 6569, + "reali": 4185, + "realis": 38114, + "realise": 14773, + "realised": 17945, + "realising": 39537, + "realism": 20024, + "realist": 30248, + "realistic": 16157, + "realities": 32443, + "reality": 46802, + "reality": 5004, + "realization": 40402, + "realize": 7538, + "realized": 10489, + "realizes": 42918, + "realizing": 23284, + "reall": 39686, + "really": 43249, + "really": 1414, + "realm": 23083, + "realmadrid": 27866, + "realms": 43033, + "realness": 46761, + "realtime": 44002, + "realtime": 38203, + "realtor": 18038, + "realtors": 31759, + "realty": 20471, + "ream": 37242, + "ream": 15219, + "rean": 48477, + "reap": 31334, + "reaper": 29922, + "rear": 39652, + "rear": 10223, + "reas": 9121, + "reason": 12882, + "reason": 3893, + "reasonable": 18558, + "reasonably": 38589, + "reasoning": 30341, + "reasons": 5686, + "reau": 32398, + "reb": 12370, + "reb": 18796, + "reba": 48543, + "rebate": 43817, + "rebe": 25227, + "rebec": 10774, + "rebecca": 12892, + "rebel": 8185, + "rebel": 12248, + "rebellion": 22170, + "rebels": 13623, + "rebirth": 33303, + "reboot": 22385, + "reborn": 30229, + "reboun": 43381, + "rebound": 31280, + "rebounds": 19190, + "rebs": 28164, + "rebu": 43162, + "rebuild": 20022, + "rebuilding": 30880, + "rebuilt": 33137, + "rec": 1020, + "rec": 11243, + "recall": 15151, + "recalled": 32142, + "recalling": 47855, + "recalls": 24740, + "recap": 29816, + "recap": 8337, + "recaps": 47997, + "recard": 35536, + "rece": 1890, + "recei": 2148, + "receip": 38503, + "receipt": 30479, + "receipts": 41181, + "receive": 4800, + "received": 4178, + "receiver": 17659, + "receivers": 45294, + "receives": 10027, + "receiving": 7252, + "recent": 3969, + "recently": 4482, + "recep": 17450, + "reception": 8364, + "receptions": 46881, + "receptor": 41835, + "recess": 38182, + "recession": 27176, + "recharge": 29396, + "rechargeable": 37516, + "reci": 2037, + "recipe": 28923, + "recipe": 4614, + "recipeoftheday": 38727, + "recipes": 9243, + "recipi": 10136, + "recipient": 13703, + "recipients": 18940, + "recipro": 41789, + "recital": 23457, + "recite": 48824, + "reck": 11715, + "reckless": 26284, + "reckon": 23854, + "recl": 42277, + "reclaim": 35969, + "reclaimed": 32648, + "reco": 2535, + "reco": 46038, + "recogn": 6343, + "recogni": 5329, + "recognise": 19824, + "recognised": 20986, + "recognising": 48423, + "recognition": 9415, + "recognizable": 47240, + "recognize": 10905, + "recognized": 9929, + "recognizes": 26909, + "recognizing": 19666, + "recomm": 4540, + "recommend": 11628, + "recommend": 8942, + "recommendation": 20118, + "recommendations": 16516, + "recommended": 11100, + "recommending": 44301, + "recommends": 22940, + "recon": 15371, + "recon": 28996, + "reconciliation": 26451, + "reconstruction": 24955, + "recor": 1723, + "record": 21328, + "record": 2717, + "recorded": 9392, + "recorder": 26747, + "recording": 48237, + "recording": 6942, + "recordings": 19715, + "records": 4529, + "recover": 16785, + "recovered": 16444, + "recovering": 19005, + "recovers": 47935, + "recovery": 6591, + "recre": 22148, + "recreate": 29775, + "recreated": 40888, + "recreating": 48224, + "recreation": 17331, + "recreational": 24329, + "recru": 4745, + "recruit": 9011, + "recruit": 15585, + "recruited": 36518, + "recruiter": 43120, + "recruiters": 46542, + "recruiting": 10533, + "recruitment": 10541, + "recruits": 22647, + "recs": 33069, + "rectan": 43041, + "rectangular": 43321, + "rector": 41585, + "recu": 26798, + "recur": 19983, + "recurring": 35912, + "recy": 6790, + "recycla": 40659, + "recyclable": 48907, + "recycle": 19366, + "recycled": 16829, + "recycling": 12566, + "red": 1893, + "red": 736, + "redbubble": 46137, + "redbull": 29483, + "redbull": 29219, + "redcarpet": 32259, + "redcross": 30659, + "redd": 22149, + "redd": 40618, + "redding": 41061, + "reddish": 43383, + "reddit": 15226, + "reddy": 23028, + "rede": 10913, + "redeem": 37449, + "redefining": 46352, + "redemption": 20233, + "redesign": 24188, + "redesigned": 33111, + "redevelopment": 30322, + "redhead": 36267, + "redi": 7976, + "redman": 44753, + "redmond": 39627, + "rednation": 28180, + "rednationrising": 28262, + "redneck": 39105, + "redness": 22626, + "redo": 42524, + "redon": 48506, + "redro": 37722, + "reds": 11221, + "redskins": 19023, + "redsox": 19144, + "reduc": 5015, + "reduce": 6604, + "reduced": 10821, + "reduces": 20539, + "reducing": 13836, + "reduction": 12219, + "reductions": 48263, + "redux": 43014, + "redvelvet": 41845, + "redwings": 31058, + "redwood": 31748, + "ree": 9282, + "ree": 5813, + "reebok": 26734, + "reece": 30457, + "reed": 26209, + "reed": 10435, + "reedus": 32865, + "reef": 46557, + "reef": 15624, + "reefs": 34459, + "reel": 34467, + "reel": 17166, + "reels": 48127, + "reem": 48891, + "reen": 21638, + "reen": 23679, + "rees": 18314, + "reese": 20929, + "reeves": 23060, + "ref": 4067, + "ref": 9591, + "refe": 5624, + "refer": 18425, + "refer": 22325, + "referee": 20398, + "referees": 45583, + "referen": 13535, + "reference": 10214, + "references": 24009, + "referendum": 16732, + "referr": 47784, + "referral": 30219, + "referred": 22969, + "referring": 29797, + "refers": 30069, + "refill": 37859, + "refin": 13455, + "refined": 26098, + "refinery": 31393, + "refining": 48406, + "reflec": 4608, + "reflect": 13373, + "reflected": 28732, + "reflecting": 19700, + "reflection": 11884, + "reflections": 16647, + "reflective": 27008, + "reflects": 15821, + "reflex": 45756, + "reflex": 36050, + "reform": 45678, + "reform": 8875, + "reformation": 45119, + "reformed": 40880, + "reforms": 19274, + "refr": 34850, + "refre": 11995, + "refresh": 17836, + "refresh": 23288, + "refreshed": 35925, + "refresher": 41481, + "refreshing": 14159, + "refreshments": 31127, + "refriger": 21076, + "refrigerator": 36662, + "refs": 35595, + "refu": 3545, + "refuge": 5638, + "refuge": 17432, + "refugee": 11556, + "refugees": 42687, + "refugees": 8316, + "refund": 28899, + "refur": 15519, + "refurbi": 18259, + "refurbished": 26190, + "refurbishment": 35803, + "refusal": 46547, + "refuse": 16412, + "refused": 17190, + "refuses": 20085, + "refusing": 26704, + "reg": 5472, + "reg": 12353, + "regain": 37510, + "regal": 31512, + "regal": 25028, + "regan": 34062, + "regar": 5881, + "regard": 21801, + "regarded": 32017, + "regarding": 8493, + "regardless": 17220, + "regards": 23079, + "regatta": 26316, + "regen": 46545, + "regency": 29341, + "regeneration": 29257, + "regent": 30455, + "regents": 46710, + "regg": 12757, + "reggae": 37821, + "reggae": 15214, + "reggie": 21872, + "regi": 1608, + "regime": 11378, + "regiment": 18603, + "regin": 23287, + "regina": 16841, + "region": 16542, + "region": 4341, + "regional": 5552, + "regionals": 26043, + "regions": 14530, + "regis": 28094, + "register": 3967, + "registered": 10254, + "registering": 33510, + "registr": 29193, + "registration": 7302, + "registrations": 38423, + "registry": 30020, + "rego": 47351, + "regram": 30329, + "regrann": 48802, + "regre": 8627, + "regression": 43733, + "regret": 14374, + "regrets": 23231, + "regu": 3411, + "regui": 46722, + "regul": 11847, + "regular": 14882, + "regular": 6307, + "regularly": 17263, + "regulat": 14575, + "regulate": 33494, + "regulated": 31384, + "regulating": 48156, + "regulation": 14267, + "regulations": 16654, + "regulator": 30364, + "regulators": 35837, + "regulatory": 17717, + "reh": 21492, + "reha": 10193, + "rehab": 16973, + "rehabil": 17930, + "rehabilitation": 21042, + "rehear": 7273, + "rehearsal": 11482, + "rehearsals": 17977, + "rehearsing": 23125, + "rehman": 39206, + "rei": 15343, + "rei": 26033, + "reic": 41230, + "reich": 48589, + "reich": 28929, + "reid": 45125, + "reid": 11744, + "reig": 13092, + "reign": 41419, + "reign": 14827, + "reigning": 28409, + "reigns": 21217, + "reiki": 46960, + "reilly": 28120, + "reim": 35421, + "reimagined": 46799, + "reimbur": 39857, + "rein": 9240, + "rein": 45009, + "reina": 43847, + "reinde": 23810, + "reindeer": 25072, + "reinfor": 48161, + "reinforced": 41909, + "reinst": 33969, + "reinvent": 38171, + "reissue": 34042, + "reiter": 35394, + "rejec": 9958, + "reject": 22435, + "rejected": 17505, + "rejection": 32264, + "rejects": 23155, + "rejo": 20150, + "rejoice": 24712, + "rejuven": 26332, + "rek": 47542, + "rek": 19201, + "rel": 1825, + "rel": 5233, + "rela": 4362, + "reland": 15220, + "relat": 27192, + "relatable": 31010, + "relate": 17520, + "related": 5880, + "relates": 36064, + "relating": 27373, + "relation": 4561, + "relation": 16207, + "relations": 10100, + "relationship": 47239, + "relationship": 5837, + "relationships": 10610, + "relative": 17265, + "relatively": 18351, + "relatives": 21981, + "relax": 6777, + "relax": 9035, + "relaxation": 22194, + "relaxed": 18999, + "relaxing": 10256, + "relay": 12403, + "relays": 28404, + "rele": 1602, + "release": 29100, + "release": 2706, + "released": 3410, + "releases": 7393, + "releasethe": 44008, + "releasing": 10321, + "releg": 23378, + "relegated": 45884, + "relegation": 35040, + "relent": 22213, + "relentless": 27207, + "relessly": 33927, + "relev": 9349, + "relevance": 31400, + "relevant": 10568, + "reli": 2674, + "reliability": 27220, + "reliable": 13714, + "reliance": 27727, + "relic": 27802, + "relics": 43208, + "relief": 7518, + "relies": 41579, + "relieve": 28623, + "relieved": 36597, + "religi": 4940, + "religion": 8803, + "religions": 31189, + "religious": 8289, + "relish": 35550, + "relive": 23939, + "reliving": 47558, + "rell": 28802, + "rell": 7127, + "rella": 9952, + "relle": 31390, + "reloaded": 38908, + "relocated": 46791, + "relocation": 39198, + "rels": 23320, + "relu": 32058, + "reluct": 32549, + "reluctant": 45552, + "rely": 4158, + "relying": 42168, + "rem": 15098, + "rem": 21637, + "rema": 4569, + "remain": 29144, + "remain": 6415, + "remainder": 41672, + "remained": 23714, + "remaining": 11392, + "remains": 6807, + "remake": 16234, + "remark": 11136, + "remarkable": 12404, + "remarkably": 39087, + "remarks": 15001, + "remastered": 24932, + "rematch": 26473, + "rembrandt": 45972, + "reme": 20071, + "remedi": 18442, + "remedies": 25581, + "remedy": 25794, + "remem": 7966, + "rememb": 7062, + "remember": 22045, + "remember": 2195, + "remembered": 11763, + "remembering": 8135, + "remembers": 12551, + "remembrance": 40321, + "remembrance": 15860, + "remembranceday": 48333, + "rement": 7173, + "rements": 12667, + "remi": 41693, + "remin": 3216, + "remind": 9868, + "reminded": 12309, + "reminder": 5565, + "reminders": 34121, + "reminding": 19976, + "reminds": 8303, + "remington": 43527, + "reminis": 17723, + "reminiscent": 41704, + "reminiscing": 32552, + "remix": 8519, + "remixes": 31011, + "remn": 29127, + "remnants": 39032, + "remo": 4064, + "remo": 33259, + "remodel": 34159, + "remodel": 37495, + "remodeling": 41432, + "remote": 47163, + "remote": 9687, + "remotely": 32375, + "removable": 44095, + "removal": 13679, + "remove": 9709, + "removed": 10289, + "remover": 44267, + "removes": 29018, + "removing": 18504, + "remy": 30434, + "ren": 737, + "ren": 2596, + "rena": 12591, + "renais": 15409, + "renaissance": 16007, + "renal": 36096, + "renamed": 31535, + "renault": 17600, + "rence": 19245, + "rence": 1553, + "rences": 8545, + "rend": 33932, + "rend": 22851, + "render": 39752, + "render": 13024, + "rendered": 23652, + "rendering": 21339, + "renders": 39419, + "rendez": 43293, + "rendezvous": 45644, + "rendition": 28891, + "rendon": 46272, + "rendous": 49403, + "rends": 38842, + "rene": 15438, + "rene": 12597, + "renee": 23480, + "reneg": 29909, + "renegade": 41229, + "renergy": 37151, + "renew": 6645, + "renew": 22015, + "renewable": 31269, + "renewable": 15941, + "renewableenergy": 33357, + "renewables": 21619, + "renewal": 21270, + "renewed": 20524, + "renfre": 45043, + "reng": 36795, + "reno": 11520, + "reno": 12831, + "renov": 9984, + "renovated": 23839, + "renovation": 17121, + "renovations": 31311, + "renowned": 14727, + "rens": 18183, + "renshaw": 44445, + "rent": 17377, + "rent": 1609, + "rental": 12193, + "rentals": 24105, + "rented": 35932, + "rential": 31692, + "renting": 37662, + "rently": 2615, + "rents": 31109, + "reo": 15963, + "reo": 26854, + "reon": 15761, + "reopen": 26883, + "reopened": 32868, + "reopening": 36663, + "reopens": 40644, + "rep": 4229, + "rep": 6487, + "repair": 8419, + "repaired": 32953, + "repairing": 38534, + "repairs": 16297, + "repar": 34065, + "repe": 5785, + "repeal": 42622, + "repeal": 23938, + "repeat": 10192, + "repeated": 27904, + "repeatedly": 26630, + "repeating": 33834, + "repeats": 39158, + "repell": 46235, + "repent": 47261, + "reper": 29085, + "repet": 38533, + "repl": 13047, + "replac": 6069, + "replace": 9466, + "replaceable": 47762, + "replaced": 13200, + "replacement": 10835, + "replaces": 27781, + "replacing": 18647, + "replay": 16875, + "repleni": 44839, + "replic": 21651, + "replica": 18125, + "replied": 24238, + "replies": 18808, + "reply": 8965, + "replying": 47599, + "repor": 2628, + "report": 2417, + "reported": 7598, + "reportedly": 10953, + "reporter": 11019, + "reporters": 18454, + "reporting": 9218, + "reports": 4908, + "reposit": 41276, + "repository": 46977, + "repost": 33147, + "repost": 7217, + "repostapp": 38388, + "reposting": 20223, + "reppin": 19163, + "repping": 22574, + "repre": 3397, + "represent": 8293, + "represent": 8406, + "representation": 13520, + "representative": 13175, + "representatives": 15591, + "represented": 12299, + "representing": 7561, + "represents": 14433, + "repri": 31854, + "reproduction": 35714, + "reproductive": 25522, + "reps": 14265, + "reptile": 36938, + "reptiles": 38679, + "republic": 6376, + "republic": 7185, + "republican": 9842, + "republicans": 12384, + "repur": 41852, + "req": 42411, + "requ": 10664, + "reque": 9539, + "request": 7813, + "requested": 16199, + "requesting": 33245, + "requests": 17087, + "requi": 4863, + "requiem": 40316, + "require": 14437, + "required": 8500, + "requirement": 27146, + "requirements": 12860, + "requires": 13396, + "requiring": 33425, + "requis": 42602, + "rer": 41295, + "rer": 3407, + "rera": 14301, + "rero": 21860, + "rers": 18869, + "res": 4466, + "res": 934, + "resc": 3956, + "rescheduled": 43553, + "rescu": 8618, + "rescue": 28567, + "rescue": 5718, + "rescued": 11919, + "rescues": 32439, + "rescuing": 43770, + "rese": 13000, + "resear": 6090, + "research": 25694, + "research": 2379, + "researched": 42733, + "researcher": 18334, + "researchers": 9522, + "researching": 24544, + "reseller": 35391, + "resemb": 16916, + "resemblance": 26856, + "resemble": 37230, + "resembles": 35417, + "reser": 16420, + "reserv": 11906, + "reservation": 20289, + "reservations": 19307, + "reserve": 6911, + "reserved": 19796, + "reserves": 19705, + "reservoir": 20574, + "reset": 26250, + "resh": 47432, + "reshi": 39435, + "resi": 2152, + "residen": 22311, + "residence": 11672, + "residences": 38855, + "residency": 18545, + "resident": 9016, + "residente": 44637, + "residentevil": 48393, + "residential": 11002, + "residents": 6008, + "resign": 23584, + "resignation": 24779, + "resigned": 31014, + "resigns": 29738, + "resil": 10932, + "resili": 39212, + "resilience": 15271, + "resilient": 24694, + "resin": 24156, + "resist": 37345, + "resist": 9587, + "resistance": 7392, + "resistant": 17542, + "resisting": 43679, + "resolution": 9977, + "resolutions": 26816, + "resolve": 20787, + "resolved": 28807, + "reson": 18092, + "resonance": 42310, + "resort": 6594, + "resorts": 18839, + "resource": 43729, + "resource": 9760, + "resources": 6723, + "respec": 7466, + "respect": 31411, + "respect": 4916, + "respected": 19126, + "respectful": 24379, + "respecting": 36172, + "respective": 25817, + "respectively": 28794, + "respects": 23553, + "respir": 20771, + "respiratory": 24483, + "respon": 2421, + "respond": 12355, + "responded": 21121, + "respondents": 49253, + "responders": 25155, + "responding": 18037, + "responds": 17436, + "response": 5399, + "responses": 19006, + "responsi": 5490, + "responsibilities": 30375, + "responsibility": 11272, + "responsible": 8936, + "responsibly": 33675, + "responsive": 21544, + "ress": 34651, + "ress": 13629, + "resso": 15133, + "rest": 10974, + "rest": 2539, + "restart": 37378, + "restaur": 3775, + "restaurant": 41930, + "restaurant": 4489, + "restaurants": 11714, + "rested": 46020, + "resting": 18044, + "restless": 36724, + "restling": 30076, + "resto": 11118, + "resto": 41666, + "restock": 34060, + "restocked": 36966, + "restor": 8984, + "restoration": 11989, + "restorative": 46509, + "restore": 14008, + "restored": 14238, + "restoring": 24406, + "restra": 25424, + "restric": 11036, + "restricted": 27197, + "restriction": 44282, + "restrictions": 19884, + "restroom": 43423, + "restructuring": 43260, + "rests": 33775, + "resu": 10095, + "resul": 2655, + "result": 5659, + "resulted": 26449, + "resulting": 24581, + "results": 3790, + "resume": 15077, + "resumes": 30268, + "resur": 14865, + "resurg": 45962, + "resurgence": 47692, + "resurrec": 18487, + "resurrection": 25811, + "resusc": 47523, + "ret": 20500, + "ret": 10048, + "reta": 20153, + "retail": 14910, + "retail": 6455, + "retailer": 22549, + "retailers": 19418, + "retain": 24430, + "retained": 42737, + "retaining": 35571, + "retains": 42583, + "retali": 33101, + "retar": 29964, + "retarded": 44111, + "retention": 26247, + "rethink": 29078, + "rethinking": 42951, + "reti": 4721, + "retin": 31270, + "retina": 36919, + "retire": 18846, + "retired": 11477, + "retirement": 9205, + "retires": 29060, + "retiring": 21200, + "retrac": 32735, + "retreat": 11210, + "retri": 16918, + "retriever": 28394, + "retro": 6535, + "retro": 7755, + "retrogamer": 47220, + "retrogaming": 11316, + "retrospective": 27105, + "rett": 41082, + "rett": 8425, + "rette": 33066, + "return": 43042, + "return": 3458, + "returned": 10476, + "returning": 9290, + "returns": 5020, + "retwee": 48190, + "retweet": 3195, + "retweeted": 12705, + "retweeting": 32345, + "retweets": 10160, + "rety": 41550, + "reu": 20255, + "reu": 40371, + "reuben": 40450, + "reunion": 10247, + "reunite": 26179, + "reunited": 13516, + "reusable": 30395, + "reuse": 26535, + "reut": 15210, + "reuters": 15569, + "rev": 8424, + "rev": 11789, + "revamp": 29819, + "revamped": 36420, + "revan": 45277, + "reve": 3115, + "reveal": 8052, + "revealed": 7171, + "revealing": 21321, + "reveals": 6621, + "revel": 14133, + "revelation": 24053, + "revelations": 36163, + "reven": 10171, + "revenge": 12717, + "revenue": 10637, + "revenues": 33348, + "rever": 14829, + "rever": 41913, + "revere": 44187, + "reverend": 34407, + "revers": 20726, + "reversal": 33367, + "reverse": 12812, + "reversed": 42485, + "reversi": 31601, + "reversible": 34212, + "revi": 8317, + "review": 2268, + "reviewed": 16678, + "reviewer": 36409, + "reviewers": 48195, + "reviewing": 20458, + "reviews": 7227, + "revise": 46801, + "revised": 22806, + "revising": 46882, + "revision": 20335, + "revisit": 26568, + "revisited": 34302, + "revisiting": 33144, + "revit": 26367, + "revitalization": 46923, + "revival": 14142, + "revive": 26450, + "revived": 42912, + "revo": 28660, + "revol": 13447, + "revolt": 31697, + "revolu": 4900, + "revolution": 17699, + "revolution": 6644, + "revolutionary": 14734, + "revolver": 38747, + "revolving": 47230, + "revs": 49286, + "revue": 43428, + "rew": 37564, + "rewar": 15857, + "reward": 11223, + "rewarded": 27163, + "rewarding": 23351, + "rewards": 15235, + "rewatch": 35610, + "rewatching": 41287, + "rewind": 26867, + "rewrite": 45218, + "rex": 13002, + "rex": 10904, + "rexperience": 33924, + "rey": 9681, + "rey": 4517, + "reyes": 18255, + "reykja": 47571, + "reyn": 11998, + "reynolds": 14309, + "reys": 48284, + "rez": 27597, + "rez": 15192, + "reza": 35888, + "rf": 35529, + "rf": 16368, + "rfc": 19003, + "rfid": 40204, + "rg": 33055, + "rg": 14897, + "rgb": 36128, + "rgv": 33685, + "rh": 8745, + "rh": 22404, + "rha": 19473, + "rhapso": 32532, + "rhapsody": 35774, + "rhe": 9186, + "rhea": 28612, + "rhetor": 24359, + "rhetoric": 29985, + "rhett": 42984, + "rheu": 42953, + "rhi": 21212, + "rhin": 12269, + "rhine": 22863, + "rhine": 44833, + "rhinestone": 30450, + "rhino": 41744, + "rhino": 20056, + "rhinos": 30671, + "rho": 7637, + "rhode": 39302, + "rhode": 27907, + "rhodes": 17785, + "rhon": 25882, + "rhonda": 46100, + "rhp": 27199, + "rhs": 24551, + "rhu": 23897, + "rhubarb": 30213, + "rhy": 7740, + "rhyme": 37356, + "rhymes": 33143, + "rhys": 28647, + "rhyth": 27069, + "rhythm": 16172, + "rhythmic": 46386, + "rhythms": 40872, + "ri": 553, + "ri": 2574, + "ria": 3650, + "rial": 15200, + "rian": 7788, + "rib": 44634, + "rib": 18298, + "riba": 44992, + "ribb": 10081, + "ribbon": 12114, + "ribbons": 35271, + "ribe": 46115, + "ribs": 17519, + "ric": 920, + "ric": 4798, + "rica": 14230, + "rical": 18109, + "rican": 30958, + "ricardo": 23140, + "ricci": 35783, + "ricciardo": 49282, + "rice": 36362, + "rice": 4741, + "rich": 5223, + "rich": 4021, + "richar": 9350, + "richard": 9080, + "richard": 4470, + "richards": 11372, + "richardson": 15984, + "riche": 23286, + "richer": 34138, + "riches": 37093, + "richest": 25572, + "richi": 38934, + "richie": 19797, + "richland": 43079, + "richmond": 34143, + "richmond": 11292, + "richter": 37591, + "rick": 6237, + "rick": 3064, + "ricket": 46161, + "ricket": 23671, + "ricks": 23111, + "ricky": 19188, + "ricky": 12814, + "rico": 37962, + "rico": 11362, + "ricotta": 38473, + "rics": 7353, + "ricul": 6980, + "rid": 18103, + "rid": 9874, + "ridd": 21990, + "ridden": 32025, + "riddle": 31839, + "ride": 15816, + "ride": 2994, + "rider": 31056, + "rider": 9707, + "riders": 10826, + "rides": 11308, + "ridg": 42646, + "ridge": 16580, + "ridge": 6352, + "ridic": 9624, + "ridiculous": 12659, + "ridiculously": 25661, + "ridin": 47869, + "riding": 6765, + "ridley": 27883, + "rie": 14824, + "rie": 5322, + "ried": 7552, + "riel": 26696, + "rien": 35237, + "rier": 40714, + "rier": 13336, + "ries": 28179, + "ries": 3059, + "riesling": 36372, + "rif": 7044, + "riff": 30359, + "rifle": 15354, + "rifles": 25678, + "rift": 26681, + "rig": 18462, + "rig": 13871, + "riga": 36626, + "rigged": 35897, + "rigging": 38160, + "riggs": 40328, + "righ": 15391, + "right": 13341, + "right": 1155, + "righte": 20762, + "righteous": 28169, + "righteousness": 42481, + "rightful": 42601, + "rightly": 42669, + "rights": 3336, + "rigid": 43138, + "rigor": 36788, + "rigorous": 41654, + "rigs": 42893, + "rihanna": 13744, + "rij": 41097, + "rik": 31136, + "rik": 27832, + "rika": 28580, + "ril": 12270, + "ril": 2388, + "riley": 35056, + "riley": 12260, + "rill": 23705, + "rilla": 43956, + "rilla": 18685, + "rim": 28147, + "rim": 12199, + "rime": 27064, + "rimin": 11527, + "rimo": 47817, + "rims": 34327, + "rin": 5859, + "rin": 11739, + "rina": 12869, + "rine": 24952, + "ring": 8318, + "ring": 2540, + "ringed": 44712, + "ringer": 35761, + "ringing": 26035, + "ringo": 38845, + "rings": 5751, + "rington": 12455, + "rink": 21497, + "rinka": 47316, + "rino": 47188, + "rinse": 48320, + "rio": 15681, + "rio": 5782, + "rion": 31623, + "rion": 34046, + "rios": 32814, + "riot": 32636, + "riot": 14218, + "riots": 24844, + "rious": 6340, + "rip": 10353, + "rip": 4243, + "ripe": 22832, + "ripley": 41589, + "ripp": 25276, + "ripped": 17815, + "ripper": 35347, + "ripping": 29126, + "ripple": 24825, + "rips": 30182, + "rir": 36792, + "ris": 6108, + "ris": 1999, + "rise": 13641, + "rise": 3151, + "risen": 23653, + "risers": 44983, + "rises": 13362, + "riseup": 35760, + "rish": 18378, + "rish": 18927, + "rishi": 48434, + "rising": 30452, + "rising": 5448, + "risis": 37998, + "risk": 27967, + "risk": 4213, + "risking": 48155, + "risks": 12474, + "risky": 27630, + "risotto": 31471, + "rist": 40610, + "rit": 5156, + "rit": 17333, + "rita": 16178, + "ritchie": 30997, + "rite": 39318, + "rite": 18429, + "rites": 36160, + "rith": 48169, + "rith": 48850, + "riti": 32904, + "rito": 19379, + "ritos": 33507, + "ritt": 26092, + "ritter": 34854, + "ritu": 13391, + "ritual": 19712, + "rituals": 31145, + "ritz": 39151, + "ritz": 25627, + "rium": 33884, + "riv": 25113, + "rival": 13412, + "rival": 15629, + "rivalry": 19511, + "rivals": 15135, + "rive": 27588, + "rive": 34917, + "river": 5239, + "river": 2473, + "rivera": 18275, + "riverdale": 28304, + "riverfront": 44439, + "rivers": 10723, + "riverside": 15809, + "riveting": 44024, + "riviera": 25851, + "rix": 43407, + "rix": 9483, + "riya": 36908, + "riyad": 31564, + "riyadh": 33577, + "riz": 18426, + "riz": 35411, + "rizal": 41555, + "rizio": 40191, + "rizz": 34826, + "rizzo": 49076, + "rj": 26016, + "rj": 20949, + "rk": 38725, + "rk": 21422, + "rl": 18041, + "rl": 14590, + "rlly": 43222, + "rly": 25954, + "rm": 20202, + "rm": 8431, + "rmb": 49097, + "rms": 40529, + "rn": 13206, + "rn": 7666, + "rna": 24566, + "rnb": 31556, + "rnc": 35309, + "rnli": 29748, + "ro": 532, + "ro": 2795, + "roa": 8313, + "roach": 31073, + "road": 4370, + "road": 1759, + "roadhouse": 47891, + "roadmap": 30111, + "roads": 6189, + "roadsafety": 39992, + "roadshow": 21168, + "roadside": 26928, + "roadster": 28920, + "roadto": 24681, + "roadtrip": 15094, + "roadway": 42744, + "roam": 34045, + "roaming": 29240, + "roano": 34184, + "roanoke": 36587, + "roar": 34193, + "roar": 18483, + "roaring": 26428, + "roast": 11404, + "roasted": 10479, + "roasting": 32228, + "rob": 2668, + "rob": 6442, + "robb": 14059, + "robb": 39673, + "robbed": 24163, + "robber": 35545, + "robbers": 40852, + "robbery": 16393, + "robbi": 44898, + "robbie": 37200, + "robbie": 15970, + "robbing": 47569, + "robbins": 23461, + "robby": 44128, + "robe": 23116, + "rober": 4532, + "robert": 8811, + "robert": 3929, + "roberta": 43373, + "roberto": 42645, + "roberto": 16227, + "roberts": 10366, + "robertson": 17643, + "robes": 29304, + "robi": 16743, + "robin": 6681, + "robin": 7988, + "robins": 35502, + "robinson": 8523, + "robles": 47646, + "roblo": 27481, + "roblox": 37798, + "robo": 4672, + "robo": 36057, + "robot": 46089, + "robot": 8797, + "robotic": 23975, + "robotics": 13546, + "robots": 13473, + "robson": 31113, + "robust": 22780, + "robyn": 34533, + "roc": 3268, + "roc": 13776, + "rocco": 30009, + "roch": 23788, + "rochdale": 41880, + "roche": 31776, + "rochelle": 40161, + "rochester": 18057, + "rock": 2640, + "rock": 2172, + "rockab": 39353, + "rockabilly": 45019, + "rocke": 19914, + "rocked": 16116, + "rockefeller": 35476, + "rocker": 29008, + "rockers": 32338, + "rocket": 25435, + "rocket": 8383, + "rockets": 13292, + "rockford": 41039, + "rockies": 20621, + "rockin": 12073, + "rocking": 7081, + "rockn": 24442, + "rocknroll": 27840, + "rocks": 6135, + "rockstar": 23603, + "rockstar": 18000, + "rockstargames": 27516, + "rockstars": 46639, + "rockthe": 49363, + "rockwell": 34747, + "rocky": 33481, + "rocky": 9648, + "rod": 9712, + "rod": 8291, + "roddy": 42332, + "rode": 18449, + "rodeo": 18250, + "rodgers": 17612, + "rodi": 49100, + "rodney": 21753, + "rodri": 11053, + "rodrigo": 33944, + "rodriguez": 14057, + "rods": 28618, + "roe": 27671, + "roe": 9996, + "rof": 33029, + "rofl": 48228, + "roft": 45212, + "rog": 34269, + "rog": 34017, + "rogen": 23380, + "roger": 13929, + "roger": 7735, + "rogerfederer": 40182, + "rogers": 10661, + "rogue": 32575, + "rogue": 15162, + "roh": 14933, + "roh": 29840, + "rohan": 39848, + "rohing": 23600, + "rohingya": 26146, + "rohit": 44649, + "rohit": 24299, + "roi": 21877, + "rok": 36807, + "rol": 3393, + "rol": 7818, + "roland": 33713, + "roland": 19569, + "role": 18485, + "role": 3414, + "roles": 11871, + "rolex": 21093, + "rolf": 48606, + "roll": 4711, + "roll": 3341, + "rolled": 11982, + "roller": 21034, + "roller": 12342, + "rollercoaster": 38248, + "rollers": 36941, + "rollin": 27545, + "rolling": 24250, + "rolling": 6347, + "rollingstones": 41309, + "rollins": 27724, + "rollout": 47710, + "rollover": 39214, + "rolls": 8614, + "rolltide": 28101, + "rom": 11377, + "rom": 19205, + "roma": 44134, + "roma": 11631, + "romain": 48897, + "roman": 4416, + "roman": 7370, + "romance": 7215, + "romania": 15884, + "romanian": 30866, + "romano": 38409, + "romans": 23066, + "romantic": 41457, + "romantic": 8821, + "rome": 9406, + "rome": 5243, + "romeo": 14429, + "romero": 23694, + "romney": 19287, + "romo": 32248, + "romper": 43699, + "ron": 2393, + "ron": 3372, + "rona": 42385, + "ronal": 46194, + "ronald": 15683, + "ronaldo": 13463, + "ronan": 34971, + "rond": 31935, + "ronda": 37436, + "rondo": 43756, + "rone": 48082, + "rone": 32763, + "roni": 47234, + "ronnie": 45257, + "ronnie": 16421, + "rons": 19536, + "ront": 48881, + "roo": 1249, + "roo": 31227, + "rood": 38007, + "roof": 9120, + "roof": 6449, + "roofing": 24415, + "roofs": 34635, + "rooftop": 16319, + "rook": 35918, + "rookie": 9771, + "rookies": 31917, + "room": 8845, + "room": 1530, + "roomie": 36851, + "roommate": 19825, + "roommates": 37323, + "rooms": 6328, + "rooney": 17712, + "roos": 32938, + "roosevel": 17644, + "roosevelt": 18488, + "rooster": 46263, + "rooster": 30926, + "roosters": 43693, + "root": 25930, + "root": 9728, + "rooted": 30428, + "rooting": 25523, + "roots": 8084, + "rop": 43401, + "rope": 9953, + "ropes": 30506, + "ror": 8668, + "ror": 2843, + "rors": 12072, + "rory": 42804, + "rory": 17813, + "ros": 5288, + "ros": 6930, + "rosa": 14393, + "rosal": 30397, + "rosario": 33640, + "rosary": 33098, + "rosberg": 46037, + "rose": 6146, + "rose": 3568, + "roseanne": 47528, + "rosel": 33616, + "rosemary": 19472, + "rosen": 13214, + "rosen": 36424, + "rosenberg": 43558, + "rosenthal": 46990, + "roses": 9061, + "rosetta": 43800, + "rosewood": 38686, + "rosie": 43049, + "rosie": 16888, + "ross": 8801, + "ross": 2158, + "rosse": 11602, + "rossi": 24817, + "rosso": 33023, + "roster": 12487, + "roswell": 45116, + "rosy": 46705, + "rosé": 28006, + "rot": 10055, + "rot": 9643, + "rotar": 45959, + "rotary": 14654, + "rotating": 32265, + "rotation": 18089, + "rotc": 32252, + "roth": 17741, + "roth": 19139, + "rother": 23174, + "rotherham": 37687, + "rothschild": 45089, + "roti": 46940, + "roto": 34698, + "rotor": 42991, + "rots": 16642, + "rott": 34806, + "rotten": 24324, + "rotter": 22614, + "rotterdam": 23422, + "rotun": 42970, + "rou": 2964, + "rou": 34783, + "roud": 28375, + "rouge": 16209, + "rough": 11699, + "rough": 8511, + "roughly": 21910, + "roughs": 37598, + "rouhani": 39912, + "roulette": 39930, + "roun": 5602, + "round": 9403, + "round": 2522, + "roundabout": 29953, + "rounded": 26973, + "rounder": 37024, + "rounding": 40208, + "rounds": 11242, + "roundtable": 19386, + "roundup": 17503, + "roup": 29220, + "rourke": 38753, + "rous": 33645, + "rous": 34531, + "rousey": 46267, + "rout": 7502, + "rout": 41778, + "route": 5261, + "router": 29962, + "routes": 14923, + "routine": 12319, + "routines": 44074, + "routing": 44086, + "roux": 43416, + "rov": 23971, + "rove": 30130, + "rover": 12776, + "rovers": 16373, + "row": 5275, + "row": 1044, + "rowan": 26240, + "rowdy": 32141, + "rowe": 28323, + "rowed": 22615, + "rower": 43345, + "rowers": 41806, + "rowing": 12807, + "rowland": 33037, + "rowley": 48793, + "rowling": 29371, + "rown": 22287, + "rown": 25060, + "rows": 9409, + "rox": 14111, + "rox": 41033, + "roxy": 28093, + "roy": 2128, + "roy": 6354, + "royal": 6691, + "royal": 3853, + "royale": 20630, + "royalnavy": 41545, + "royals": 13335, + "royalties": 48660, + "royalty": 18296, + "royalwedding": 27461, + "royce": 18444, + "royd": 41476, + "royo": 39357, + "roz": 28989, + "roz": 37250, + "rp": 17305, + "rp": 8174, + "rpa": 41872, + "rpg": 12445, + "rpm": 23715, + "rps": 49215, + "rr": 5311, + "rr": 9126, + "rrp": 36967, + "rrr": 18267, + "rrrr": 25561, + "rrrr": 34444, + "rs": 6978, + "rs": 1724, + "rsa": 29437, + "rsc": 48524, + "rsd": 34426, + "rsi": 39046, + "rsl": 44752, + "rsp": 16381, + "rspb": 38508, + "rspb": 36727, + "rspca": 45643, + "rss": 46466, + "rss": 22350, + "rstats": 38700, + "rsvp": 9774, + "rt": 8959, + "rt": 8991, + "rtc": 31648, + "rte": 33822, + "rte": 23322, + "rtg": 22028, + "rti": 47549, + "rtr": 43999, + "rts": 8496, + "rtw": 34673, + "ru": 681, + "ru": 13735, + "rub": 15862, + "rub": 22586, + "rubb": 19597, + "rubbed": 45239, + "rubber": 31131, + "rubber": 11331, + "rubbing": 41262, + "rubbish": 21108, + "rubble": 42230, + "ruben": 44058, + "ruben": 29722, + "rubi": 27856, + "rubin": 34128, + "rubio": 24244, + "rubs": 43422, + "ruby": 24552, + "ruby": 11493, + "ruck": 27449, + "rucker": 45402, + "rud": 35256, + "rudd": 31836, + "rude": 16548, + "rudi": 48360, + "rudol": 40927, + "rudolf": 46835, + "rudolph": 30119, + "rudy": 38226, + "rudy": 22131, + "rue": 38024, + "rue": 19276, + "rufc": 45084, + "ruff": 28177, + "ruff": 30304, + "rufus": 39322, + "rug": 4217, + "rug": 19220, + "rugby": 15091, + "rugby": 4964, + "rugbyleague": 44419, + "ruger": 48655, + "rugged": 25225, + "rugs": 29946, + "rui": 46974, + "ruin": 16256, + "ruined": 17231, + "ruining": 29952, + "ruins": 16094, + "ruiz": 27873, + "ruk": 46628, + "rukh": 43075, + "rukh": 27631, + "rule": 31643, + "rule": 6175, + "ruled": 16324, + "ruler": 26286, + "rulers": 45328, + "rules": 5272, + "ruling": 14690, + "rum": 9223, + "rum": 11233, + "rumb": 42432, + "rumble": 18900, + "rumi": 31428, + "rumor": 22254, + "rumored": 36694, + "rumors": 16160, + "rumour": 34296, + "rumours": 20716, + "rump": 29366, + "run": 1639, + "run": 1934, + "runaway": 28851, + "runchat": 25838, + "rundown": 41100, + "rune": 33882, + "rune": 49244, + "runner": 37370, + "runner": 7913, + "runners": 10571, + "runnin": 43130, + "running": 24451, + "running": 2761, + "runoff": 38564, + "runs": 5586, + "runway": 13927, + "rup": 7996, + "rup": 14980, + "rupaul": 44211, + "rupee": 43916, + "rupees": 44110, + "rupert": 25625, + "rupt": 23055, + "ruption": 35403, + "rural": 28801, + "rural": 8737, + "rus": 35811, + "rus": 5998, + "rush": 12148, + "rush": 6973, + "rushed": 28104, + "rusher": 48745, + "rushes": 47217, + "rushing": 20284, + "russ": 6285, + "russ": 20764, + "russell": 26122, + "russell": 8150, + "russi": 2600, + "russia": 4018, + "russian": 30731, + "russian": 4868, + "russians": 25413, + "russo": 30679, + "rust": 28682, + "rust": 14212, + "rustic": 19822, + "rusty": 43966, + "rusty": 22646, + "rut": 14973, + "rut": 39102, + "rutger": 49029, + "rutgers": 28934, + "ruth": 15798, + "ruth": 12029, + "ruther": 26676, + "rutherford": 31070, + "ruthless": 36063, + "rutland": 46024, + "ruto": 43702, + "ruz": 23275, + "rv": 17135, + "rv": 17951, + "rva": 24278, + "rw": 9085, + "rw": 22926, + "rwa": 47452, + "rwand": 31758, + "rwanda": 15427, + "rwby": 39698, + "rwc": 32321, + "rx": 41188, + "rx": 15945, + "ry": 1511, + "ry": 913, + "ryan": 8682, + "ryan": 4053, + "ryanair": 43526, + "ryder": 43564, + "ryder": 21805, + "rye": 24015, + "rye": 17409, + "rying": 7838, + "ryn": 37728, + "ryo": 24460, + "rys": 21654, + "ryu": 46656, + "ryu": 34604, + "ré": 29106, + "s": 82, + "s": 338, + "sa": 774, + "sa": 1344, + "saa": 13429, + "saab": 27158, + "saad": 36530, + "saas": 25761, + "saat": 33151, + "sab": 3233, + "sab": 23213, + "saba": 38344, + "sabah": 32854, + "saban": 41620, + "sabar": 47102, + "sabbath": 26008, + "sabc": 30010, + "sabcnews": 41093, + "saber": 46822, + "saber": 25624, + "sabha": 23431, + "sabi": 47073, + "sabine": 44062, + "sable": 19224, + "sabot": 30700, + "sabotage": 40496, + "sabre": 35110, + "sabres": 29620, + "sabrin": 37029, + "sabrina": 24994, + "sac": 3632, + "sac": 12905, + "sach": 30168, + "sacha": 49010, + "sachin": 47527, + "sachin": 30297, + "sachs": 31451, + "sack": 28964, + "sack": 14979, + "sacked": 27519, + "sacks": 26441, + "sacram": 13334, + "sacramento": 16065, + "sacred": 40612, + "sacred": 12477, + "sacri": 15283, + "sacrif": 12117, + "sacrific": 16919, + "sacrifice": 12556, + "sacrificed": 31116, + "sacrifices": 28858, + "sacrificing": 48146, + "sad": 2810, + "sad": 3719, + "saddened": 27720, + "saddest": 34925, + "saddle": 30469, + "saddle": 20283, + "sade": 27429, + "sadh": 40955, + "sadi": 22207, + "sadie": 30333, + "sadiq": 44107, + "sadler": 45600, + "sadly": 11603, + "sadness": 20399, + "sae": 38633, + "sae": 34883, + "saeed": 29745, + "saf": 2125, + "saf": 25760, + "safar": 23443, + "safari": 14091, + "safarilive": 34816, + "safc": 27998, + "safe": 2901, + "safe": 2996, + "safeguard": 42249, + "safeguarding": 47451, + "safely": 11513, + "safer": 40124, + "safer": 15504, + "safest": 38973, + "safety": 19050, + "safety": 3406, + "safetyfirst": 43608, + "saffron": 27529, + "sag": 6609, + "sag": 30048, + "saga": 15758, + "sagan": 37193, + "sagar": 42518, + "sage": 25800, + "sage": 7509, + "sages": 25979, + "sagin": 47097, + "sagitt": 44685, + "sagu": 44708, + "sah": 30943, + "sah": 26342, + "saha": 36062, + "sahara": 24599, + "saharan": 44255, + "sahi": 24608, + "sahib": 34150, + "sai": 16048, + "sai": 10886, + "said": 40319, + "said": 1946, + "saif": 44164, + "saig": 36328, + "saigon": 41081, + "sail": 7528, + "sail": 12156, + "sailed": 43047, + "sailing": 11003, + "sailor": 28002, + "sailor": 16076, + "sailormoon": 40673, + "sailors": 25355, + "sails": 27526, + "sain": 21226, + "sain": 40378, + "sains": 24860, + "sainsbury": 45879, + "sainsburys": 36934, + "saint": 11274, + "saint": 5599, + "saints": 8769, + "saintsfc": 31102, + "sair": 46600, + "sair": 30971, + "saire": 28087, + "saison": 33256, + "sait": 48008, + "saj": 33580, + "sak": 11511, + "sak": 35900, + "saka": 33609, + "sake": 12874, + "sakh": 43945, + "saki": 40514, + "saku": 37550, + "sakura": 24162, + "sal": 980, + "sal": 6126, + "sala": 17300, + "salaam": 46773, + "salad": 6188, + "salads": 30948, + "salah": 22516, + "salam": 19007, + "salam": 33963, + "salamat": 44696, + "salami": 46885, + "salaries": 33132, + "salary": 16312, + "salazar": 45988, + "sale": 17786, + "sale": 1690, + "saleh": 38353, + "salem": 48194, + "salem": 16884, + "sales": 13347, + "sales": 3765, + "salesforce": 22680, + "salesman": 37633, + "salford": 25629, + "sali": 15411, + "salim": 42760, + "salinas": 41990, + "saline": 46918, + "salis": 20667, + "salis": 39378, + "salisbury": 24763, + "sall": 27122, + "sall": 20883, + "salle": 23738, + "sally": 29542, + "sally": 13349, + "salman": 13754, + "salman": 16219, + "salmankhan": 15177, + "salmon": 37040, + "salmon": 9137, + "salom": 38268, + "salon": 33916, + "salon": 11105, + "saloon": 26038, + "sals": 16307, + "salsa": 16442, + "salt": 12763, + "salt": 6611, + "salted": 26313, + "saltlife": 47809, + "salts": 40559, + "saltwater": 43616, + "salty": 20678, + "salu": 31711, + "salud": 46867, + "salut": 44998, + "salute": 44908, + "salute": 9747, + "salutes": 32762, + "salv": 8299, + "salvador": 20874, + "salvage": 33131, + "salvation": 19534, + "salvatore": 38772, + "salz": 33594, + "salzburg": 43396, + "sam": 1644, + "sam": 3730, + "sama": 19272, + "samanth": 11465, + "samantha": 15466, + "samanthap": 38266, + "samanthaprabhu": 38643, + "samar": 21820, + "samaritan": 45495, + "samba": 37190, + "same": 23062, + "same": 2208, + "samheughan": 36255, + "sami": 48400, + "sami": 24322, + "sammy": 31091, + "sammy": 16758, + "samo": 30006, + "samoa": 34932, + "samp": 31225, + "sample": 9542, + "sampler": 40629, + "samples": 13387, + "sampling": 19522, + "sampson": 39983, + "sams": 44667, + "samson": 34659, + "samsun": 47875, + "samsung": 35369, + "samsung": 8115, + "samu": 7646, + "samuel": 30612, + "samuel": 12787, + "samurai": 21739, + "san": 1489, + "san": 2223, + "sana": 19434, + "sanantonio": 34714, + "sanat": 29091, + "sanatomy": 36052, + "sanc": 7398, + "sance": 15930, + "sanchez": 13971, + "sanctioned": 43032, + "sanctions": 17790, + "sanctu": 12712, + "sanctuary": 14044, + "sand": 2147, + "sand": 5094, + "sandal": 36445, + "sandal": 42185, + "sandals": 20731, + "sandalwood": 47502, + "sandeep": 46973, + "sander": 34111, + "sanders": 10429, + "sanderson": 36198, + "sandi": 44249, + "sandiego": 45997, + "sandiego": 15793, + "sandman": 45730, + "sando": 35921, + "sandoval": 44157, + "sandra": 33733, + "sandra": 13415, + "sandro": 42389, + "sands": 5936, + "sandstone": 36796, + "sandwich": 17050, + "sandwich": 8687, + "sandwiches": 19667, + "sandy": 29679, + "sandy": 10355, + "sane": 23419, + "sanford": 32330, + "sanfrancisco": 20254, + "sang": 13235, + "sang": 11684, + "sange": 12466, + "sangria": 42665, + "sani": 39137, + "sani": 34492, + "sanitary": 33842, + "sanitation": 25414, + "saniti": 43987, + "sanity": 30517, + "sanjay": 31712, + "sanjay": 25796, + "sanje": 40405, + "sanjose": 45971, + "sank": 43692, + "sano": 34053, + "sans": 16982, + "sansk": 39689, + "sanskrit": 48083, + "sant": 8356, + "sant": 23120, + "santa": 22175, + "santa": 4555, + "santac": 28876, + "santam": 45627, + "santana": 27033, + "santander": 46476, + "santi": 13856, + "santiago": 16568, + "santo": 29631, + "santo": 18400, + "santor": 28448, + "santorini": 39573, + "santos": 16582, + "sany": 47679, + "sao": 28026, + "sap": 8089, + "sap": 11591, + "sapi": 40016, + "sapp": 13427, + "sapp": 40729, + "sapphire": 22044, + "sar": 1808, + "sar": 9424, + "sara": 37196, + "sara": 10063, + "sarab": 40716, + "sarac": 35722, + "sarah": 9086, + "sarah": 5327, + "saraj": 42592, + "sarajevo": 48211, + "saras": 20373, + "sarasota": 31990, + "sarato": 24845, + "saratoga": 29496, + "sarawak": 47331, + "sarcasm": 37246, + "sarcastic": 48639, + "sardar": 41786, + "sarde": 43925, + "sardin": 27383, + "sardinia": 41025, + "sare": 13051, + "saree": 30860, + "sargent": 34864, + "sari": 42327, + "sari": 20261, + "saries": 47586, + "sarkar": 30673, + "sarko": 33658, + "sarkodie": 42848, + "sarmy": 20954, + "sart": 33006, + "sary": 15398, + "sas": 3960, + "sas": 5235, + "sash": 35656, + "sasha": 46078, + "sasha": 20894, + "sasia": 44751, + "sask": 47091, + "sask": 30416, + "saskat": 17102, + "saskatchewan": 23899, + "saskatoon": 31128, + "sass": 31351, + "sassy": 20827, + "sat": 1382, + "sat": 3279, + "sata": 41520, + "satan": 19446, + "satanic": 38224, + "satchel": 45908, + "sate": 35749, + "satell": 9031, + "satellite": 10316, + "satellites": 28483, + "sath": 29675, + "sathletics": 30154, + "sati": 7038, + "satin": 21803, + "sation": 23674, + "sations": 31232, + "satire": 29875, + "satis": 9906, + "satisf": 22941, + "satisfaction": 19925, + "satisfied": 18101, + "satisfy": 29444, + "satisfying": 23755, + "sato": 34376, + "satu": 45283, + "satur": 1634, + "saturated": 32466, + "saturday": 12537, + "saturday": 1748, + "saturdaymorning": 29053, + "saturdaymotivation": 40843, + "saturdays": 18930, + "saturn": 17312, + "saty": 39426, + "sau": 2096, + "sau": 19455, + "sauce": 5520, + "saucer": 42272, + "sauces": 40367, + "saucy": 46684, + "saudi": 24511, + "saudi": 8548, + "saudiarabia": 28680, + "sauer": 46333, + "saul": 47623, + "saul": 23252, + "sault": 40361, + "sauna": 35460, + "saunders": 23794, + "saur": 13227, + "saura": 46532, + "saurus": 22118, + "saus": 36121, + "sausage": 11855, + "sausages": 31593, + "sauté": 36290, + "sautéed": 38517, + "sauvi": 30116, + "sauvignon": 32745, + "sav": 2248, + "sav": 26533, + "sava": 40198, + "savag": 43039, + "savage": 11859, + "savannah": 18662, + "save": 5895, + "save": 2673, + "saved": 7137, + "saveour": 33390, + "saver": 20987, + "savers": 31416, + "saves": 12907, + "savethe": 18031, + "savi": 14721, + "saving": 28498, + "saving": 6979, + "savings": 10651, + "savior": 24762, + "saviour": 35800, + "savor": 48071, + "savory": 32992, + "savoury": 49071, + "savoy": 39552, + "savvy": 29278, + "saw": 12429, + "saw": 2425, + "sawa": 39613, + "sawards": 29012, + "sawyer": 27726, + "sax": 14169, + "sax": 23766, + "saxon": 31856, + "saxophon": 43760, + "saxophone": 32296, + "say": 3047, + "say": 1451, + "saya": 35170, + "sayang": 46322, + "sayers": 44116, + "sayin": 23662, + "saying": 4455, + "says": 1563, + "saz": 35577, + "sb": 5576, + "sb": 4977, + "sba": 44970, + "sback": 43840, + "sband": 27539, + "sbaseball": 46491, + "sbball": 39190, + "sbc": 31404, + "sberg": 20358, + "sbi": 41369, + "sbk": 39211, + "sboro": 18909, + "sbridge": 49228, + "sbs": 18883, + "sbu": 48075, + "sbu": 46281, + "sburg": 7390, + "sburgh": 48205, + "sbury": 14081, + "sby": 26519, + "sby": 10287, + "sc": 663, + "sc": 3219, + "sca": 11001, + "scab": 31716, + "scaf": 28981, + "scafe": 45574, + "scaffolding": 41687, + "scal": 10859, + "scala": 37997, + "scalable": 44084, + "scale": 37817, + "scale": 5879, + "scaled": 41923, + "scales": 22891, + "scaling": 29116, + "scallo": 19936, + "scallop": 39544, + "scallops": 31430, + "scalp": 38898, + "scam": 17620, + "scam": 13215, + "scamp": 28451, + "scams": 34395, + "scan": 10650, + "scan": 11261, + "scanada": 27121, + "scand": 8110, + "scandal": 35420, + "scandal": 11622, + "scandals": 45490, + "scandin": 32014, + "scandinavian": 35661, + "scanned": 43719, + "scanner": 24185, + "scanning": 24092, + "scans": 31251, + "scap": 35883, + "scape": 36005, + "scape": 12314, + "scapes": 31933, + "scar": 4171, + "scar": 18088, + "scarborough": 24254, + "scarce": 38572, + "scarcity": 45812, + "scare": 33536, + "scare": 15920, + "scarec": 38814, + "scarecrow": 46504, + "scared": 9870, + "scares": 34096, + "scarf": 13365, + "scari": 27050, + "scariest": 37213, + "scarlet": 20389, + "scarlett": 28325, + "scars": 20747, + "scarves": 29249, + "scary": 9250, + "scat": 13899, + "scattered": 22090, + "scavenger": 36778, + "scc": 19458, + "scd": 48422, + "scen": 2204, + "scenario": 20456, + "scenarios": 31346, + "scence": 33418, + "scene": 3562, + "scenery": 16025, + "scenes": 5415, + "scenic": 15394, + "scent": 36277, + "scent": 7683, + "scented": 27190, + "scenter": 23059, + "scentre": 39371, + "scents": 26336, + "scep": 24439, + "scfc": 38578, + "sch": 844, + "sch": 7542, + "scha": 42809, + "schaf": 45588, + "schaft": 41010, + "schal": 35568, + "schalke": 41029, + "schallenge": 43665, + "schan": 31328, + "schar": 15085, + "schat": 31842, + "schau": 35830, + "sche": 3038, + "sche": 7289, + "schedu": 4207, + "schedule": 5521, + "scheduled": 10986, + "schedules": 28986, + "scheduling": 32216, + "scheer": 26776, + "schel": 39881, + "schel": 38569, + "schem": 17720, + "scheme": 9024, + "schemes": 22958, + "schen": 22738, + "scher": 21925, + "scher": 21299, + "schi": 13731, + "schi": 24984, + "schicago": 46230, + "schiff": 39431, + "schild": 32148, + "schiz": 33230, + "schizoph": 40004, + "schizophre": 41163, + "schle": 32022, + "schmid": 17375, + "schmidt": 18463, + "schnau": 45745, + "schnei": 19941, + "schneider": 22972, + "schnit": 40903, + "scho": 2493, + "schoice": 23860, + "schol": 4498, + "scholar": 7192, + "scholar": 12830, + "scholarly": 41065, + "scholars": 13818, + "scholarship": 9070, + "scholarships": 17866, + "scholastic": 35743, + "schoo": 20721, + "school": 6063, + "school": 1228, + "schooled": 44722, + "schoolers": 31455, + "schooling": 28608, + "schools": 3513, + "schre": 47685, + "schri": 25453, + "schro": 32381, + "schu": 11318, + "schubert": 46939, + "schul": 14945, + "schultz": 30308, + "schulz": 39572, + "schumacher": 39208, + "schumer": 25313, + "schur": 42475, + "schwab": 47602, + "schwar": 13985, + "schwartz": 30617, + "schwarz": 27074, + "schwarzenegger": 33860, + "schwe": 25324, + "sci": 2267, + "sci": 8309, + "sciart": 31704, + "scicom": 28606, + "scicomm": 29573, + "scien": 39261, + "science": 10201, + "science": 2497, + "sciencefiction": 39170, + "sciences": 11481, + "scienti": 4338, + "scientific": 9750, + "scientist": 11083, + "scientists": 8045, + "sciento": 36193, + "scientology": 44694, + "scifi": 41862, + "scifi": 12230, + "scion": 47208, + "sciss": 25667, + "scissors": 30867, + "sciutto": 44392, + "sclerosis": 39446, + "sclub": 20017, + "sco": 1065, + "sco": 4763, + "scoe": 31164, + "scol": 13599, + "scoll": 44895, + "scollege": 39536, + "scom": 26407, + "scon": 17163, + "scon": 29272, + "scones": 36443, + "sconf": 39704, + "scoo": 14199, + "scooby": 34469, + "scoop": 13829, + "scoops": 41360, + "scope": 7979, + "scopes": 30328, + "scopic": 23869, + "scopy": 20018, + "scor": 8442, + "score": 12067, + "score": 4431, + "scoreboard": 30104, + "scorecard": 38128, + "scored": 6143, + "scoreless": 33469, + "scorer": 16572, + "scorers": 26699, + "scores": 7039, + "scoring": 9198, + "scorpi": 15445, + "scorpio": 34331, + "scorpion": 28461, + "scorpions": 45401, + "scorsese": 45975, + "scot": 2496, + "scot": 9271, + "scotch": 16687, + "scoti": 46446, + "scotia": 27859, + "scotland": 29174, + "scotland": 4203, + "scots": 17260, + "scotsman": 39612, + "scott": 7775, + "scott": 3664, + "scotti": 6227, + "scottish": 18039, + "scottish": 7442, + "scottsdale": 27817, + "scotty": 39697, + "scotty": 26836, + "scotus": 21720, + "scou": 44909, + "scoun": 16110, + "scouncil": 48787, + "scountry": 40432, + "scour": 46172, + "scout": 32213, + "scout": 10786, + "scouting": 19072, + "scouts": 14837, + "scow": 27929, + "scowboys": 31386, + "scp": 45030, + "scr": 36131, + "scra": 11187, + "scrabble": 39488, + "scram": 17289, + "scramble": 32688, + "scrambled": 39026, + "scran": 41774, + "scranton": 45274, + "scrap": 27950, + "scrap": 21695, + "scrapbook": 48733, + "scrapped": 43325, + "scraps": 40809, + "scrat": 9572, + "scratch": 13258, + "scratched": 48831, + "scratches": 46556, + "scratching": 44617, + "scre": 1795, + "scream": 31645, + "scream": 13239, + "screamed": 35427, + "screaming": 12891, + "screams": 23989, + "screen": 5351, + "screen": 3750, + "screened": 31450, + "screening": 6688, + "screenings": 27655, + "screenplay": 30058, + "screens": 12689, + "screenshot": 20637, + "screenshot": 12646, + "screenshots": 26783, + "screenshotsaturday": 21406, + "screenwriter": 37293, + "screenwriting": 35465, + "screw": 25529, + "screw": 14225, + "screwdriver": 48748, + "screwed": 30592, + "screws": 38292, + "scri": 2139, + "scrib": 34259, + "scribe": 36228, + "scribed": 38334, + "scricket": 45947, + "scrim": 21978, + "scrimmage": 25216, + "scrip": 11955, + "script": 8374, + "scripted": 40513, + "scription": 26604, + "scriptions": 39512, + "scripts": 20109, + "scripture": 27186, + "scro": 30768, + "scroll": 24160, + "scrolling": 28889, + "scrolls": 38113, + "scroo": 42263, + "scru": 7589, + "scrub": 23432, + "scrubs": 37919, + "scrum": 29047, + "scrump": 39791, + "scrumptious": 40987, + "scrutiny": 34305, + "scs": 26853, + "sct": 39284, + "scu": 8181, + "scu": 32135, + "scuba": 39053, + "scuba": 20559, + "scubadiving": 49046, + "scue": 25955, + "scul": 4948, + "scully": 36598, + "sculp": 6093, + "sculpt": 45044, + "sculpted": 41296, + "sculpting": 44389, + "sculptor": 29409, + "sculpture": 8757, + "sculptures": 20378, + "scum": 29655, + "scumb": 44525, + "scup": 21506, + "scur": 32742, + "scwx": 41966, + "scy": 27471, + "sd": 3080, + "sd": 4159, + "sda": 25548, + "sdale": 12327, + "sday": 5902, + "sday": 1376, + "sdays": 14491, + "sdc": 40992, + "sdcc": 13246, + "sden": 17241, + "sdf": 34681, + "sdg": 20177, + "sdgs": 16261, + "sdk": 40015, + "sdlive": 34561, + "sdn": 41925, + "sdsu": 41284, + "se": 567, + "se": 611, + "sea": 5970, + "sea": 2102, + "seab": 15728, + "seabir": 42558, + "seac": 35626, + "seaf": 9336, + "seafood": 12472, + "seag": 15730, + "seagu": 38076, + "seagull": 38858, + "seagulls": 42215, + "seahawks": 15341, + "seal": 21381, + "seal": 10159, + "sealed": 13358, + "sealing": 42992, + "seals": 18179, + "seam": 13710, + "seam": 44201, + "seaman": 47513, + "seamless": 29373, + "seamus": 40175, + "sean": 11406, + "sean": 6077, + "seanhannity": 43316, + "seap": 29983, + "seaport": 46418, + "sear": 1612, + "search": 23129, + "search": 1920, + "searched": 28961, + "searches": 26378, + "searching": 10626, + "seared": 29727, + "sears": 26693, + "seas": 7329, + "seas": 9556, + "seascape": 42593, + "seaside": 18867, + "season": 19288, + "season": 1367, + "seasonal": 14215, + "seasoned": 28399, + "seasoning": 43439, + "seasons": 8635, + "seat": 19670, + "seat": 4922, + "seated": 23953, + "seater": 37543, + "seating": 16240, + "seats": 6944, + "seattle": 24388, + "seattle": 6274, + "seau": 32263, + "seaw": 32658, + "seaweed": 30204, + "seaworld": 27422, + "seb": 35766, + "seb": 25171, + "sebasti": 10324, + "sebastian": 43792, + "sebastian": 13181, + "sebring": 41086, + "sec": 2875, + "sec": 5338, + "seca": 37847, + "secco": 27394, + "sece": 46297, + "seclu": 42392, + "secon": 1846, + "second": 9329, + "second": 2241, + "secondary": 13107, + "seconds": 6541, + "secre": 2460, + "secret": 20710, + "secret": 4145, + "secretari": 29515, + "secretariat": 31767, + "secretary": 6552, + "secretly": 21400, + "secrets": 9735, + "secs": 28665, + "sect": 15772, + "section": 34986, + "section": 4853, + "sectional": 21876, + "sections": 20061, + "sector": 6579, + "sectors": 22173, + "secu": 4894, + "secular": 47483, + "secular": 27560, + "secur": 2557, + "secure": 44763, + "secure": 7515, + "secured": 16848, + "secures": 31567, + "securing": 24759, + "securities": 25080, + "security": 31245, + "security": 2741, + "sed": 14034, + "sed": 1252, + "sedan": 24237, + "sedg": 46926, + "sedge": 45288, + "sedi": 29269, + "sedly": 31771, + "sedona": 46862, + "seduc": 19933, + "seductive": 43721, + "see": 1751, + "see": 862, + "seed": 14064, + "seed": 6488, + "seeded": 33688, + "seeding": 40050, + "seedlings": 47933, + "seeds": 9128, + "seeing": 3214, + "seek": 8839, + "seeker": 28011, + "seekers": 20732, + "seeking": 8592, + "seeks": 12594, + "seem": 20043, + "seem": 7523, + "seemed": 17240, + "seemingly": 25917, + "seems": 4453, + "seen": 36273, + "seen": 2041, + "seer": 32486, + "sees": 7594, + "seeyou": 41279, + "sef": 27453, + "seg": 10551, + "sega": 16122, + "segment": 15615, + "segments": 43053, + "segreg": 49117, + "segregation": 39086, + "segu": 33156, + "segun": 43087, + "seh": 27536, + "seh": 41430, + "sehun": 17705, + "sei": 13130, + "sei": 15907, + "sein": 24669, + "seine": 41378, + "seinfeld": 33706, + "seis": 25559, + "seismic": 38459, + "seiz": 22171, + "seize": 26624, + "seized": 15826, + "seizure": 36804, + "seizures": 47199, + "sek": 45515, + "sek": 25880, + "sel": 1000, + "sel": 4098, + "sela": 47006, + "selamat": 37692, + "selangor": 44402, + "selby": 43546, + "selca": 38606, + "selcaday": 35924, + "seldom": 48322, + "sele": 29137, + "selec": 3014, + "select": 8690, + "selected": 6881, + "selecting": 32696, + "selection": 6724, + "selections": 24099, + "selective": 28686, + "selects": 32902, + "selen": 19970, + "selena": 14677, + "selenagomez": 27653, + "seley": 30556, + "self": 10139, + "self": 1322, + "selfcare": 39560, + "selfi": 3007, + "selfie": 26735, + "selfie": 3666, + "selfies": 46058, + "selfies": 10050, + "selfish": 26907, + "selfless": 34236, + "sell": 10279, + "sell": 5119, + "seller": 11779, + "sellers": 16562, + "selling": 4396, + "sells": 14306, + "selma": 36652, + "sels": 42070, + "selves": 4505, + "sely": 8402, + "sem": 8645, + "sem": 17106, + "sema": 31816, + "seman": 29119, + "seman": 28378, + "semana": 41780, + "semb": 36054, + "seme": 10855, + "sement": 10714, + "sements": 31449, + "semester": 11905, + "semi": 11023, + "semi": 6684, + "semic": 26967, + "semicon": 34315, + "semiconduc": 35646, + "semiconductor": 43551, + "semifinal": 22935, + "semifinals": 21863, + "semin": 5595, + "seminar": 7269, + "seminars": 34870, + "seminary": 31655, + "seminole": 42956, + "semis": 24013, + "semit": 22628, + "semite": 23721, + "semitic": 34894, + "semitism": 25911, + "semper": 47391, + "sen": 1057, + "sen": 2249, + "sena": 21584, + "senate": 30703, + "senate": 6843, + "senator": 20871, + "senator": 8495, + "senators": 16889, + "send": 27684, + "send": 3625, + "sending": 6985, + "sends": 10817, + "sene": 25269, + "seneca": 33419, + "senegal": 28255, + "senew": 49313, + "seng": 43022, + "seng": 29971, + "senior": 19865, + "senior": 3415, + "seniors": 8138, + "senna": 36195, + "senpai": 46562, + "sens": 5218, + "sens": 22837, + "sensation": 19383, + "sensational": 23051, + "sense": 29162, + "sense": 4747, + "sensei": 36158, + "senses": 21809, + "sensi": 38802, + "sensible": 30635, + "sensing": 29236, + "sensiti": 20531, + "sensitive": 13734, + "sensitivity": 27788, + "sensor": 15330, + "sensors": 20356, + "sensory": 21831, + "sensu": 28157, + "sensual": 40860, + "sent": 6200, + "sent": 3676, + "sentence": 12737, + "sentenced": 17773, + "sentences": 25858, + "sentencing": 34394, + "senti": 19042, + "sentim": 25102, + "sentiment": 25949, + "sentimental": 40070, + "sentiments": 47450, + "sentin": 20042, + "sentinel": 23123, + "senting": 3924, + "seo": 24743, + "seo": 8622, + "seok": 34697, + "seok": 22482, + "seokjin": 45584, + "seoul": 13253, + "sep": 3212, + "sep": 10434, + "separ": 6859, + "separate": 13886, + "separated": 22163, + "separately": 41904, + "separates": 45365, + "separati": 39377, + "separating": 43480, + "separation": 22007, + "sephora": 38414, + "sepsis": 40205, + "sept": 5380, + "septe": 3672, + "september": 3707, + "septic": 34690, + "sepul": 47360, + "seq": 44379, + "sequ": 5491, + "seque": 44662, + "sequel": 15701, + "sequence": 18833, + "sequences": 47306, + "sequencing": 33484, + "sequo": 32781, + "sequoia": 42404, + "ser": 803, + "ser": 2771, + "sera": 28250, + "serbia": 19038, + "serbian": 33687, + "sere": 35770, + "seren": 7880, + "serena": 19519, + "serenawilliams": 48316, + "serendip": 45805, + "serendipity": 49386, + "serene": 28269, + "serenity": 24187, + "serge": 13477, + "serge": 35700, + "sergeant": 22049, + "sergei": 39870, + "sergey": 35390, + "sergi": 47675, + "sergio": 18359, + "seri": 2763, + "seri": 37509, + "serial": 14216, + "serie": 19752, + "seriea": 32660, + "series": 1857, + "serious": 47421, + "serious": 4770, + "seriously": 4885, + "sermon": 24884, + "sero": 48883, + "serpent": 37084, + "serpent": 35364, + "serra": 39851, + "serrano": 44236, + "sers": 13509, + "serum": 25385, + "serv": 1297, + "serv": 24571, + "servant": 20810, + "servants": 29652, + "serve": 39202, + "serve": 2838, + "served": 4740, + "server": 36458, + "server": 8398, + "serverless": 49243, + "servers": 22262, + "serves": 9915, + "servic": 27115, + "service": 21496, + "service": 2086, + "serviced": 44687, + "services": 3100, + "servicing": 41300, + "serving": 5722, + "sery": 14279, + "ses": 23708, + "ses": 1386, + "sesame": 21706, + "sese": 37128, + "sesh": 24274, + "session": 2550, + "sessions": 6327, + "set": 7965, + "set": 1167, + "setback": 43605, + "seth": 20005, + "seth": 11870, + "sethu": 38933, + "setlist": 33141, + "seton": 43799, + "sets": 4650, + "sett": 4984, + "sett": 17567, + "sette": 14613, + "setter": 23153, + "settes": 44145, + "setti": 45170, + "setting": 5264, + "settings": 18628, + "settle": 15075, + "settled": 18310, + "settlement": 16494, + "settlements": 36605, + "settlers": 35671, + "settles": 41498, + "settling": 22036, + "setup": 11092, + "seu": 31539, + "seul": 48975, + "seum": 18838, + "seun": 24209, + "seung": 32393, + "seung": 33711, + "seungri": 41627, + "seuss": 34441, + "sev": 26585, + "sev": 37600, + "seva": 42604, + "seve": 21458, + "seve": 22468, + "sevel": 17439, + "seven": 7874, + "seven": 5757, + "sevens": 29911, + "sevent": 43048, + "seventeen": 19337, + "seventh": 17568, + "seventy": 47170, + "sever": 3250, + "sever": 45557, + "several": 5560, + "severance": 26194, + "severe": 6215, + "severely": 24417, + "severn": 34626, + "severy": 34207, + "sevilla": 24947, + "seville": 34988, + "sew": 28640, + "sewage": 32777, + "sewer": 28294, + "sewing": 15974, + "sewn": 42118, + "sex": 3548, + "sex": 5937, + "sexi": 20562, + "sexiest": 25426, + "sexism": 32059, + "sexist": 33047, + "sexu": 14741, + "sexual": 6749, + "sexuality": 21244, + "sexually": 23032, + "sexy": 21019, + "sexy": 38127, + "sey": 6317, + "sey": 2258, + "seychel": 36809, + "seychelles": 38519, + "seye": 35604, + "seym": 22657, + "seymour": 25850, + "seys": 15081, + "sez": 42377, + "señ": 43368, + "sf": 4435, + "sf": 4915, + "sfa": 32675, + "sfam": 37649, + "sfb": 27930, + "sfc": 14129, + "sfest": 49024, + "sff": 42056, + "sfgiants": 20923, + "sfield": 11801, + "sfo": 39182, + "sfootball": 45259, + "sfor": 9115, + "sford": 28917, + "sforsale": 28888, + "sfw": 18073, + "sfx": 37995, + "sg": 9599, + "sg": 7611, + "sga": 33049, + "sgate": 27558, + "sgh": 47590, + "sgo": 5393, + "sgo": 21044, + "sgt": 13748, + "sh": 552, + "sh": 849, + "sha": 1514, + "sha": 3337, + "shaa": 44221, + "shab": 8323, + "shabbat": 38042, + "shabby": 28838, + "shack": 23866, + "shack": 18785, + "shad": 3182, + "shad": 23874, + "shade": 34554, + "shade": 10097, + "shaded": 43506, + "shades": 46608, + "shades": 9270, + "shadesof": 45180, + "shading": 37348, + "shado": 9325, + "shadow": 15243, + "shadow": 7068, + "shadowhun": 19931, + "shadowhunters": 24834, + "shadowing": 46092, + "shadows": 12971, + "shady": 22158, + "shaf": 12032, + "shaft": 21545, + "shag": 22439, + "shaggy": 42662, + "shah": 13203, + "shah": 8439, + "shahe": 23643, + "shaheed": 30060, + "shaheer": 43969, + "shahi": 46972, + "shahid": 25696, + "shahid": 27138, + "shahidkapoor": 29892, + "shahzad": 45915, + "shai": 47941, + "shaikh": 45712, + "shail": 37603, + "shair": 43135, + "shak": 8385, + "shake": 8206, + "shake": 8251, + "shaken": 38237, + "shaker": 26210, + "shakers": 38411, + "shakes": 19668, + "shakespe": 9890, + "shakespeare": 22499, + "shakespeare": 12488, + "shakespearesunday": 32320, + "shaking": 19101, + "shakira": 40795, + "shakti": 48593, + "shakti": 32458, + "shakur": 48915, + "shal": 15056, + "shal": 28175, + "shale": 32864, + "shall": 4742, + "shallow": 23730, + "shalom": 31339, + "sham": 6453, + "sham": 9005, + "shaman": 48727, + "shambles": 40799, + "shame": 14776, + "shame": 7593, + "shameful": 28283, + "shameless": 25380, + "shaming": 40553, + "shampoo": 23944, + "shamrock": 34199, + "shan": 5171, + "shan": 8834, + "shana": 44835, + "shand": 29101, + "shane": 26863, + "shane": 11572, + "shang": 11141, + "shanghai": 12742, + "shani": 46665, + "shank": 24685, + "shankar": 24108, + "shann": 9932, + "shannon": 22842, + "shannon": 13581, + "shant": 36610, + "shap": 5581, + "shape": 26925, + "shape": 6448, + "shaped": 10127, + "shapes": 15377, + "shaping": 18632, + "shapiro": 32110, + "shaq": 46402, + "shaq": 26843, + "shar": 1669, + "shar": 36542, + "shara": 48849, + "sharapo": 36489, + "sharapova": 36671, + "shard": 42207, + "share": 7585, + "share": 1978, + "shared": 5368, + "shareholder": 38241, + "shareholders": 34778, + "sharepoint": 39213, + "shares": 4974, + "sharethe": 49277, + "shareyour": 45890, + "shari": 27738, + "shari": 47390, + "sharia": 37244, + "sharif": 15501, + "sharing": 3567, + "sharjah": 33420, + "shark": 15836, + "shark": 7980, + "sharks": 10047, + "sharkweek": 39571, + "sharma": 10105, + "sharon": 28722, + "sharon": 14138, + "sharp": 17126, + "sharp": 8157, + "sharpe": 34374, + "sharpen": 41465, + "sharpie": 46858, + "sharply": 37185, + "shasta": 46727, + "shat": 12169, + "shat": 44388, + "shatter": 45008, + "shattered": 26820, + "shau": 13750, + "shaun": 23446, + "shaun": 16669, + "shav": 11410, + "shave": 17735, + "shaved": 25571, + "shaving": 24261, + "shaw": 6122, + "shaw": 6805, + "shawa": 46413, + "shawl": 35132, + "shawn": 16677, + "shawn": 10970, + "shawnee": 48060, + "shawnmendes": 27277, + "shawty": 38026, + "shay": 10778, + "shay": 18361, + "shaykh": 47223, + "shaz": 18618, + "shazam": 29063, + "shc": 43419, + "shd": 37729, + "she": 1729, + "she": 1043, + "shea": 20407, + "shead": 44287, + "shead": 20434, + "shealth": 41743, + "shealth": 22197, + "shear": 27974, + "shear": 32108, + "shearer": 40505, + "sheath": 45637, + "shed": 16586, + "shed": 1492, + "shedding": 33608, + "sheds": 25921, + "shee": 23450, + "shee": 34321, + "sheed": 26105, + "sheehan": 41809, + "sheen": 25025, + "sheep": 23604, + "sheep": 9629, + "sheer": 17577, + "sheeran": 18561, + "sheet": 7298, + "sheets": 12744, + "shef": 8237, + "sheff": 38844, + "sheff": 43821, + "sheffiel": 26940, + "sheffield": 41763, + "sheffield": 10420, + "sheffieldissuper": 33628, + "sheh": 31667, + "sheikh": 15031, + "sheil": 42765, + "sheila": 25734, + "shek": 33285, + "shel": 3159, + "shelby": 36906, + "shelby": 16885, + "sheldon": 25079, + "shelf": 10955, + "shell": 23374, + "shell": 6648, + "shelley": 22497, + "shelling": 43166, + "shells": 19265, + "shelly": 37461, + "shelter": 8599, + "sheltered": 48070, + "shelters": 24312, + "shelton": 24471, + "shelves": 16225, + "shem": 40299, + "shen": 10154, + "shen": 31098, + "shenan": 20965, + "shenando": 44666, + "shenanigans": 26590, + "shenko": 39751, + "shenmue": 48279, + "shenzhen": 38970, + "shep": 33757, + "shep": 44857, + "shepard": 26810, + "shepher": 11008, + "shepherd": 13242, + "shepherds": 42792, + "sheppard": 37304, + "sher": 3570, + "sher": 4510, + "sheraton": 39400, + "shere": 21507, + "sheri": 9235, + "sheridan": 27085, + "sheriff": 10309, + "sherlock": 17294, + "sherman": 17822, + "sherry": 44348, + "sherry": 24689, + "shers": 14141, + "sherwood": 24527, + "sheryl": 39773, + "shes": 45514, + "shes": 2502, + "shet": 15850, + "shetland": 29595, + "shetty": 25533, + "shev": 45182, + "sheva": 45132, + "shh": 35025, + "shhh": 36932, + "shi": 823, + "shi": 3533, + "shia": 23791, + "shibu": 36177, + "shibuya": 41623, + "shie": 26638, + "shiel": 33413, + "shield": 8670, + "shields": 19085, + "shies": 35312, + "shif": 35317, + "shift": 43767, + "shift": 6905, + "shifted": 34429, + "shifter": 48944, + "shifting": 21992, + "shifts": 23957, + "shik": 36980, + "shil": 14370, + "shill": 32121, + "shill": 30090, + "shilpa": 47062, + "shilpa": 40690, + "shim": 11986, + "shim": 32780, + "shima": 14382, + "shimano": 48904, + "shimi": 40517, + "shimmer": 38792, + "shin": 5664, + "shin": 11784, + "shinde": 41516, + "shine": 17582, + "shine": 3780, + "shinee": 19660, + "shines": 16015, + "shing": 38641, + "shing": 1743, + "shining": 10485, + "shino": 43074, + "shiny": 12190, + "ship": 7645, + "ship": 1158, + "shipment": 28553, + "shipp": 34709, + "shipped": 15279, + "shippers": 44789, + "shipping": 5721, + "ships": 3262, + "shipwreck": 48878, + "shipy": 26828, + "shipyard": 31273, + "shir": 1956, + "shiraz": 35618, + "shire": 11975, + "shire": 2968, + "shirehour": 32456, + "shirley": 18189, + "shiro": 26048, + "shirt": 27576, + "shirt": 2523, + "shirtless": 28959, + "shirts": 5803, + "shistory": 34979, + "shiv": 18042, + "shiv": 37121, + "shiva": 33881, + "shiva": 21174, + "shka": 38944, + "shld": 49359, + "shma": 48074, + "shment": 8802, + "shments": 18822, + "sho": 719, + "sho": 13756, + "shock": 19617, + "shock": 8736, + "shocked": 15787, + "shocker": 37971, + "shockey": 22258, + "shocking": 13394, + "shocks": 31886, + "shoe": 16308, + "shoe": 7342, + "shoes": 49391, + "shoes": 4079, + "shol": 21472, + "sholm": 44139, + "shome": 42701, + "shon": 19526, + "shon": 37621, + "shone": 47173, + "shoo": 1975, + "shook": 20730, + "shoops": 29956, + "shoot": 12531, + "shoot": 3704, + "shooter": 13645, + "shooters": 31902, + "shooting": 3992, + "shootings": 26753, + "shootout": 20666, + "shoots": 14144, + "shop": 5738, + "shop": 1557, + "shopify": 47949, + "shoplocal": 21775, + "shopp": 38486, + "shoppe": 38236, + "shopped": 28088, + "shopper": 24346, + "shoppers": 22316, + "shopping": 42101, + "shopping": 4266, + "shops": 6467, + "shopsmall": 35942, + "shor": 3209, + "shore": 14717, + "shore": 5928, + "shored": 33140, + "shoreditch": 35042, + "shoreline": 34807, + "shores": 18102, + "short": 6803, + "short": 3005, + "shortage": 19910, + "shortages": 38730, + "shortcuts": 45793, + "shorten": 41711, + "shorter": 20350, + "shortest": 33717, + "shortfilm": 37204, + "shorth": 37397, + "shortlist": 28163, + "shortlisted": 20631, + "shortly": 11967, + "shorts": 9680, + "shorty": 33502, + "shot": 9805, + "shot": 2000, + "shotel": 42365, + "shotgun": 21643, + "shots": 5342, + "shou": 3890, + "shoul": 29847, + "should": 14947, + "should": 1535, + "shoulder": 8476, + "shoulders": 18738, + "shouldn": 9416, + "shour": 20025, + "shouse": 28671, + "shout": 7335, + "shout": 5214, + "shouted": 44397, + "shouting": 26464, + "shoutout": 8274, + "shouts": 26709, + "shovel": 31778, + "show": 2133, + "show": 1080, + "showbiz": 34156, + "showcas": 14290, + "showcase": 7265, + "showcased": 35786, + "showcases": 26266, + "showcasing": 17036, + "showdown": 15576, + "showed": 7150, + "shower": 7777, + "showers": 9893, + "showing": 3649, + "shown": 8506, + "showroom": 16821, + "shows": 2665, + "showtime": 40576, + "showtime": 15442, + "showyour": 46733, + "shp": 38341, + "shq": 21145, + "shr": 10118, + "shra": 21360, + "shradd": 28172, + "shraddha": 35208, + "shraddhakapoor": 40385, + "shre": 12101, + "shred": 19756, + "shred": 33017, + "shredded": 31772, + "shredding": 45534, + "shree": 37410, + "shrek": 35009, + "shrews": 26411, + "shrewsbury": 30921, + "shri": 8838, + "shri": 11424, + "shrimp": 12727, + "shrin": 24865, + "shrine": 16156, + "shrink": 34957, + "shrinking": 41243, + "shrm": 44163, + "shro": 15259, + "shroff": 32081, + "shrop": 22630, + "shropshire": 26344, + "shru": 14911, + "shrub": 41464, + "shrubs": 47975, + "shrun": 46767, + "shs": 16184, + "sht": 44210, + "shti": 38927, + "shu": 2872, + "shu": 17651, + "shua": 33771, + "shub": 40552, + "shud": 45782, + "shuff": 42641, + "shuffle": 21681, + "shui": 45473, + "shuk": 29927, + "shukla": 46829, + "shul": 30721, + "shum": 37383, + "shun": 24479, + "shun": 39594, + "shur": 41032, + "shut": 8702, + "shut": 8282, + "shutdown": 16051, + "shutout": 24385, + "shuts": 28313, + "shutt": 31866, + "shutter": 36235, + "shutter": 33902, + "shutters": 46894, + "shutting": 31383, + "shuttle": 15842, + "shwar": 41640, + "shy": 22678, + "shy": 9682, + "si": 564, + "si": 2990, + "sia": 2357, + "siam": 29686, + "siam": 48248, + "siamese": 43161, + "sian": 28510, + "sian": 6221, + "sians": 26583, + "sias": 28645, + "siber": 22206, + "siberia": 39969, + "siberian": 34058, + "sibl": 14338, + "sible": 14507, + "sibling": 43060, + "sibling": 23779, + "siblings": 17156, + "sic": 8278, + "sic": 1118, + "sica": 34125, + "sical": 33875, + "sichuan": 48950, + "sicilian": 45292, + "sicily": 23179, + "sick": 11143, + "sick": 5359, + "sickest": 47972, + "sickle": 41459, + "sickness": 28898, + "sics": 26297, + "sid": 10117, + "sid": 15119, + "sidd": 19842, + "siddi": 35227, + "side": 5869, + "side": 1145, + "sided": 21061, + "sidekick": 44683, + "sidel": 43557, + "sideline": 32056, + "sidelines": 31046, + "sider": 30581, + "siders": 41249, + "sides": 7578, + "sideshow": 46789, + "sidewalk": 23278, + "sidewalks": 43583, + "sideways": 35593, + "siding": 38758, + "sidney": 22598, + "sie": 8533, + "sie": 5685, + "sieg": 49203, + "siege": 18460, + "siegel": 48559, + "siem": 18434, + "siemens": 30147, + "siempre": 44030, + "siena": 33336, + "sienna": 40373, + "sier": 10028, + "sier": 7444, + "sierra": 13552, + "siers": 35923, + "sies": 16367, + "siest": 18323, + "sif": 29300, + "sig": 872, + "sig": 19145, + "sigh": 36303, + "sigh": 15505, + "sighs": 44579, + "sight": 16897, + "sight": 6329, + "sighted": 33034, + "sighting": 17507, + "sightings": 30004, + "sights": 17364, + "sightseeing": 34210, + "sigma": 45075, + "sigma": 15697, + "sign": 5538, + "sign": 2292, + "signage": 21156, + "signal": 10781, + "signaling": 38492, + "signalling": 48426, + "signals": 17150, + "signation": 24347, + "signature": 9189, + "signatures": 21865, + "signed": 3163, + "signee": 39778, + "signi": 34023, + "signific": 6374, + "significance": 23769, + "significant": 8735, + "significantly": 16187, + "signing": 4401, + "signingday": 40282, + "signings": 27731, + "signs": 4659, + "signup": 40791, + "sigue": 49401, + "sii": 36672, + "sik": 19974, + "sik": 22413, + "sika": 31144, + "sikh": 21829, + "sikhs": 45426, + "sil": 1556, + "sil": 8315, + "sila": 41754, + "sile": 37620, + "silen": 39048, + "silence": 8462, + "silenced": 45415, + "silent": 30352, + "silent": 8487, + "silently": 42640, + "silhou": 20589, + "silhouette": 26149, + "silic": 23830, + "silicon": 32412, + "silicon": 17888, + "silicone": 28221, + "silk": 25891, + "silk": 9743, + "silky": 29554, + "sill": 42468, + "sill": 48024, + "silly": 11883, + "silon": 31841, + "sils": 39708, + "silva": 16489, + "silve": 37697, + "silver": 7525, + "silver": 3467, + "silverado": 46160, + "silverstone": 29666, + "silvia": 37289, + "sim": 5026, + "sim": 10740, + "sima": 35871, + "simba": 39492, + "simcoe": 47148, + "sime": 28329, + "simi": 38073, + "simil": 7202, + "similar": 8547, + "similarities": 34716, + "simm": 13001, + "simmons": 14699, + "simo": 37171, + "simon": 8796, + "simon": 6668, + "simona": 46277, + "simone": 19062, + "simons": 33097, + "simp": 2542, + "simple": 19018, + "simple": 4129, + "simpler": 35489, + "simplest": 39588, + "simpli": 16868, + "simplicity": 21262, + "simplified": 36647, + "simplify": 35479, + "simply": 25637, + "simply": 6151, + "simpson": 41805, + "simpson": 11750, + "simpsons": 21092, + "sims": 14021, + "simul": 9845, + "simulated": 46395, + "simulation": 18610, + "simulator": 20821, + "simultaneous": 48816, + "simultaneously": 28575, + "sin": 1303, + "sin": 3421, + "sina": 19541, + "sinai": 33226, + "sinatra": 27262, + "sinc": 30464, + "since": 1855, + "sincere": 24513, + "sincere": 24886, + "sincerely": 25673, + "sinclair": 23100, + "sind": 39598, + "sind": 30877, + "sindh": 20754, + "sindia": 48038, + "sine": 22741, + "sine": 33793, + "sinfo": 47178, + "sing": 1387, + "sing": 1197, + "singapo": 27861, + "singapore": 28879, + "singapore": 6754, + "singer": 33880, + "singer": 5108, + "singers": 15613, + "singersongwriter": 44585, + "singh": 19445, + "singh": 5715, + "singing": 5864, + "single": 19524, + "single": 2688, + "singles": 12025, + "singleton": 46247, + "singly": 16619, + "sings": 13635, + "singul": 34003, + "singular": 44009, + "singularity": 48410, + "sinha": 29416, + "sini": 41781, + "sini": 26319, + "sinister": 31313, + "sink": 37232, + "sink": 14551, + "sinking": 27949, + "sinks": 32710, + "sinn": 36315, + "sinner": 45380, + "sinners": 43436, + "sino": 29759, + "sins": 9345, + "sinthe": 30737, + "sinu": 37351, + "sinus": 47535, + "sio": 10807, + "siob": 40954, + "siology": 46315, + "sion": 5676, + "sion": 1015, + "sional": 14533, + "sionally": 30754, + "sions": 4060, + "sioux": 44695, + "sioux": 24954, + "sip": 16096, + "sipping": 28527, + "sir": 10708, + "sir": 3846, + "sire": 28450, + "siren": 33026, + "sirens": 35907, + "siri": 13986, + "siri": 18394, + "sirius": 23574, + "sirius": 34999, + "siriusxm": 29833, + "sirloin": 46828, + "sis": 18132, + "sis": 2580, + "sisd": 27132, + "sisi": 37892, + "siss": 42929, + "sissy": 27564, + "sist": 20520, + "sista": 37448, + "sister": 17417, + "sister": 3677, + "sisterhood": 37313, + "sisters": 6404, + "sit": 7387, + "sit": 4037, + "sitcom": 30426, + "site": 26792, + "site": 1988, + "sites": 7236, + "sith": 41499, + "sito": 42613, + "sits": 12726, + "sitt": 42988, + "sitter": 40777, + "sittin": 40887, + "sitting": 4919, + "situ": 5562, + "situ": 42536, + "situated": 22030, + "situation": 7144, + "situations": 19096, + "sity": 38177, + "sity": 5477, + "siu": 40174, + "sium": 8090, + "sius": 27595, + "siva": 20991, + "sivan": 36931, + "sive": 23572, + "sive": 1875, + "sively": 10343, + "siveness": 39667, + "sives": 23896, + "sivity": 42738, + "siwon": 29055, + "six": 5968, + "six": 4093, + "sixers": 25941, + "sixteen": 28677, + "sixth": 12909, + "sixties": 44948, + "sixty": 32588, + "siya": 44440, + "size": 38377, + "size": 3235, + "sized": 9832, + "sizes": 10253, + "sizing": 28330, + "sizz": 23778, + "sizzle": 47890, + "sizzling": 35799, + "sj": 7536, + "sj": 16010, + "sjo": 42012, + "sk": 909, + "sk": 2058, + "ska": 7495, + "skag": 31948, + "skan": 46772, + "skar": 27587, + "skar": 26835, + "skate": 13740, + "skate": 12745, + "skateboard": 31777, + "skateboarding": 31352, + "skater": 30337, + "skaters": 39824, + "skates": 31479, + "skc": 44551, + "ske": 6261, + "ske": 25516, + "skel": 36564, + "skelet": 27075, + "skeletal": 37369, + "skeleton": 20062, + "skeletons": 48874, + "skell": 40801, + "skep": 27772, + "skeptical": 44934, + "sker": 37640, + "sker": 33600, + "sket": 3744, + "sketch": 11767, + "sketch": 5269, + "sketchbook": 18899, + "sketched": 38581, + "sketches": 17622, + "sketching": 23228, + "sketchy": 41582, + "skey": 37453, + "ski": 3327, + "ski": 3428, + "skid": 36574, + "skid": 32099, + "skier": 42585, + "skies": 7244, + "skiing": 14400, + "skil": 24543, + "skill": 15598, + "skill": 10604, + "skilled": 17535, + "skillet": 40568, + "skills": 4113, + "skim": 33191, + "skin": 5821, + "skin": 3575, + "skincare": 12648, + "skine": 37300, + "sking": 46215, + "skinned": 42199, + "skinner": 30261, + "skinny": 42729, + "skinny": 15457, + "skins": 11594, + "skip": 39793, + "skip": 14296, + "skipped": 40639, + "skipper": 22226, + "skipping": 34867, + "skir": 8919, + "skirt": 12386, + "skirts": 24840, + "skis": 32843, + "skit": 43573, + "skitchen": 42820, + "skittles": 43213, + "sko": 15141, + "sko": 23493, + "skoda": 38668, + "skool": 26743, + "skril": 43149, + "skrillex": 43651, + "sks": 48136, + "sku": 10836, + "skul": 17561, + "skull": 34068, + "skull": 12092, + "skulls": 31804, + "skunk": 42194, + "sky": 3075, + "sky": 2390, + "skybet": 45540, + "skye": 21475, + "skyl": 43554, + "skylar": 45411, + "skyline": 14606, + "skymap": 41734, + "skynews": 40977, + "skype": 17069, + "skyrim": 33693, + "skysports": 39845, + "skysports": 46725, + "skywalker": 32936, + "sl": 2621, + "sl": 7489, + "sla": 2725, + "sla": 26707, + "slab": 24241, + "slabs": 42818, + "slack": 37108, + "slack": 30142, + "slade": 33546, + "slain": 35972, + "slalom": 43540, + "slam": 14891, + "slam": 10131, + "slammed": 29772, + "slams": 18907, + "slan": 44663, + "slan": 47193, + "sland": 11294, + "slang": 33655, + "slap": 48830, + "slap": 21751, + "slapped": 38861, + "slaps": 46796, + "slash": 19749, + "slat": 38966, + "slate": 17919, + "slated": 36094, + "slater": 25968, + "slaugh": 26782, + "slaughter": 19815, + "slaughtered": 46615, + "slav": 47292, + "slava": 41797, + "slave": 14029, + "slavery": 15754, + "slaves": 23833, + "slaw": 28178, + "slay": 48319, + "slay": 19380, + "slayed": 44870, + "slayer": 21605, + "slaying": 27812, + "slays": 45648, + "slc": 21972, + "sle": 1709, + "sleague": 23336, + "sled": 28438, + "sledge": 48750, + "slee": 17642, + "slee": 38977, + "sleek": 23187, + "sleep": 4656, + "sleep": 3840, + "sleeper": 28709, + "sleeping": 6982, + "sleepless": 39779, + "sleepover": 39415, + "sleeps": 16610, + "sleepy": 32572, + "sleepy": 14497, + "sleet": 36948, + "sleeve": 35270, + "sleeve": 10536, + "sleeveless": 38049, + "sleeves": 19691, + "sleg": 47650, + "sleigh": 30865, + "slender": 40331, + "slept": 20388, + "sler": 14066, + "sley": 17198, + "sley": 6496, + "sli": 1811, + "sli": 44824, + "slic": 19692, + "slice": 13431, + "sliced": 28121, + "slices": 28424, + "slick": 18341, + "slide": 27828, + "slide": 8837, + "slider": 37861, + "sliders": 40700, + "slides": 15939, + "slideshow": 42817, + "sliding": 21468, + "slife": 15448, + "sliga": 21080, + "slight": 14297, + "slightly": 8456, + "sligo": 30424, + "slike": 38744, + "slim": 35226, + "slim": 12364, + "slime": 29107, + "sling": 28021, + "sling": 32607, + "slinger": 47269, + "slions": 43363, + "slip": 39785, + "slip": 12105, + "slipknot": 41816, + "slipped": 30344, + "slipper": 39644, + "slippers": 26509, + "slippery": 30814, + "slipping": 36301, + "slips": 30632, + "slist": 33749, + "slit": 47011, + "slive": 31652, + "slo": 4303, + "slo": 36083, + "sloan": 29110, + "sloane": 41553, + "slogan": 23398, + "slogans": 42795, + "slope": 22769, + "slopes": 24066, + "sloppy": 36154, + "slot": 14500, + "sloth": 30007, + "slots": 19238, + "slou": 48493, + "slovak": 23315, + "slovakia": 25994, + "sloven": 17018, + "slovenia": 21037, + "slow": 6674, + "slow": 5444, + "slowdown": 38421, + "slowed": 43793, + "slower": 29181, + "slowing": 29839, + "slowly": 9568, + "slows": 46855, + "slp": 45599, + "slr": 21325, + "sls": 33651, + "slt": 39283, + "sltd": 36388, + "slu": 7224, + "slu": 47456, + "slug": 34190, + "slugger": 48671, + "slum": 46754, + "slumber": 44295, + "slump": 35588, + "slur": 30476, + "slush": 39815, + "slv": 45526, + "sly": 28145, + "sly": 21062, + "sm": 978, + "sm": 2764, + "sma": 4357, + "sma": 11854, + "smack": 21280, + "smack": 30026, + "smackdown": 26138, + "smafia": 47686, + "smag": 32212, + "smal": 48379, + "small": 5244, + "small": 2442, + "smallbiz": 41724, + "smallbiz": 18987, + "smallbusiness": 21316, + "smalle": 18490, + "smaller": 12431, + "smallest": 18686, + "smalls": 41696, + "sman": 9612, + "smar": 3201, + "smart": 5383, + "smart": 4115, + "smartcities": 34822, + "smartcity": 33973, + "smarter": 18990, + "smartest": 37092, + "smarthome": 47726, + "smartphone": 11290, + "smartphones": 22212, + "smartwatch": 35798, + "smash": 17258, + "smash": 10332, + "smashbros": 44897, + "smashed": 18410, + "smashes": 45657, + "smashing": 19632, + "smatter": 16537, + "smb": 30446, + "smc": 31375, + "smc": 28312, + "smd": 34582, + "sme": 11758, + "sme": 15650, + "smear": 37546, + "smel": 28476, + "smell": 9688, + "smelling": 32493, + "smells": 14668, + "smelly": 46145, + "smen": 15961, + "smer": 48526, + "smere": 39629, + "smes": 26141, + "smg": 46876, + "smh": 9623, + "smi": 5655, + "smi": 40049, + "smil": 33937, + "smile": 27641, + "smile": 3490, + "smiled": 34362, + "smiles": 8726, + "smiley": 22925, + "smiling": 9200, + "smir": 24667, + "smith": 10527, + "smith": 2915, + "smiths": 27872, + "smithson": 25372, + "smithsonian": 31209, + "smm": 19510, + "smma": 42370, + "smo": 2513, + "smo": 13437, + "smobile": 38923, + "smog": 44425, + "smoke": 20381, + "smoke": 6664, + "smoked": 11161, + "smoker": 32348, + "smokers": 29571, + "smokes": 40336, + "smokey": 23670, + "smokin": 32825, + "smoking": 9038, + "smoky": 25549, + "smol": 29939, + "smol": 40403, + "smoo": 5430, + "smooth": 10958, + "smooth": 8990, + "smoother": 44271, + "smoothie": 16668, + "smoothies": 34458, + "smoothly": 32380, + "smore": 48323, + "smp": 32260, + "smriti": 49227, + "sms": 10409, + "smt": 26672, + "smtown": 26072, + "smu": 10878, + "smu": 30458, + "smug": 41021, + "smugg": 28130, + "smuggling": 34146, + "smur": 24708, + "smusic": 19191, + "smw": 44929, + "smx": 46699, + "smy": 14381, + "smyth": 44822, + "sn": 1672, + "sn": 5844, + "sna": 4032, + "snack": 47548, + "snack": 10039, + "snacking": 46474, + "snacks": 12349, + "snag": 34789, + "snag": 28043, + "snagged": 48534, + "snail": 23132, + "snails": 34928, + "snake": 30133, + "snake": 8798, + "snakes": 19605, + "snap": 4578, + "snap": 7404, + "snapback": 31234, + "snapchat": 7799, + "snapmatic": 45907, + "snapp": 10185, + "snapped": 15543, + "snapper": 31677, + "snapping": 31581, + "snaps": 16890, + "snapshot": 18243, + "snar": 30810, + "snare": 40651, + "snat": 18457, + "snatch": 35302, + "snatched": 44821, + "snation": 14362, + "snazzy": 48963, + "snc": 39918, + "sne": 3791, + "sne": 46503, + "sneak": 27871, + "sneak": 6917, + "sneaker": 31698, + "sneaker": 24781, + "sneakers": 17397, + "sneaking": 34633, + "sneakpeek": 47831, + "sneaks": 40926, + "sneaky": 21293, + "snee": 42095, + "snell": 46410, + "sner": 31424, + "snes": 26667, + "snews": 18623, + "snf": 47651, + "sng": 41549, + "snhl": 43093, + "sni": 7186, + "sni": 35570, + "snickers": 49127, + "sniff": 37841, + "snip": 42954, + "sniper": 22157, + "snippet": 37531, + "snippets": 44001, + "snl": 16011, + "sno": 8567, + "sno": 17802, + "snoo": 11352, + "snooker": 25657, + "snoop": 44503, + "snoop": 27754, + "snoopdogg": 48388, + "snoopy": 41967, + "snooze": 40718, + "snor": 16590, + "snoring": 44560, + "snorkel": 44285, + "snorkeling": 48103, + "snow": 3880, + "snow": 2583, + "snowball": 39254, + "snowboard": 33403, + "snowboarding": 32397, + "snowday": 37982, + "snowden": 32154, + "snowdon": 47107, + "snowdonia": 36088, + "snowed": 45073, + "snowfall": 21714, + "snowflake": 33447, + "snowflakes": 38618, + "snowing": 21443, + "snowman": 22668, + "snowstorm": 38777, + "snowy": 14191, + "snp": 15301, + "sns": 36343, + "snsd": 27961, + "snt": 34834, + "snu": 9694, + "snuck": 36522, + "snug": 45169, + "snuggle": 31327, + "snuggles": 48165, + "sny": 17526, + "snyder": 22106, + "snz": 37678, + "so": 759, + "so": 706, + "soa": 39584, + "soak": 24839, + "soaked": 26592, + "soaking": 26750, + "soap": 26086, + "soap": 11088, + "soaps": 40958, + "soar": 48997, + "soar": 22241, + "soaring": 27968, + "soars": 41348, + "sob": 24900, + "sob": 35507, + "sobbing": 36691, + "sober": 30969, + "sober": 24487, + "sobre": 42768, + "sobri": 49308, + "sobs": 43636, + "soc": 3253, + "soc": 7741, + "soca": 49239, + "socal": 46470, + "socal": 20450, + "soccer": 16268, + "soccer": 4233, + "socceroos": 41997, + "socent": 30831, + "sochi": 21014, + "soci": 1720, + "social": 4803, + "social": 2346, + "socialism": 23372, + "socialist": 18450, + "socialists": 43839, + "socially": 24555, + "socialmedi": 23813, + "socialmedia": 9600, + "socialmediamarketing": 31790, + "societal": 40058, + "societies": 25855, + "society": 3757, + "socio": 44319, + "socio": 42790, + "sociology": 32373, + "sock": 29801, + "sock": 18277, + "socket": 28657, + "socks": 8774, + "socorro": 46409, + "socute": 45086, + "sod": 31435, + "soda": 13533, + "sodium": 29070, + "soe": 44136, + "soe": 25498, + "soever": 34024, + "sof": 1571, + "sof": 41187, + "sofa": 15723, + "soff": 35290, + "soff": 30684, + "sofficial": 20563, + "sofi": 41537, + "sofia": 18914, + "sofinstagram": 17301, + "soft": 12778, + "soft": 3773, + "softball": 8369, + "softer": 44462, + "softhe": 23127, + "softly": 34958, + "software": 35941, + "software": 5847, + "softwitter": 11311, + "sog": 44775, + "soggy": 41168, + "sohn": 49267, + "soho": 47749, + "soho": 17592, + "soi": 40495, + "soil": 33417, + "soil": 9216, + "soils": 34891, + "soir": 43427, + "sok": 43456, + "sol": 1175, + "sol": 9941, + "sola": 40086, + "solace": 42567, + "solar": 16990, + "solar": 5199, + "solareclipse": 44727, + "sold": 33116, + "sold": 3939, + "soldi": 5098, + "soldier": 9355, + "soldiers": 7547, + "sole": 10519, + "sole": 8576, + "soleil": 33148, + "solely": 27913, + "solent": 47783, + "soles": 22682, + "soli": 3911, + "solic": 19369, + "solicitor": 45647, + "solicitors": 46000, + "solid": 30626, + "solid": 6148, + "solidar": 10415, + "solidarity": 10983, + "solidi": 46136, + "solids": 49070, + "solihull": 45293, + "solit": 37039, + "solitaire": 47257, + "solitary": 33094, + "solitude": 33199, + "solo": 17626, + "solo": 5797, + "soloist": 46391, + "solom": 15768, + "solomon": 19785, + "solos": 44868, + "solst": 20298, + "solstice": 21359, + "solu": 2487, + "solution": 4575, + "solutions": 5140, + "solve": 8917, + "solved": 13451, + "solves": 42740, + "solving": 15581, + "som": 734, + "som": 10672, + "soma": 36170, + "somal": 40281, + "somali": 26231, + "somalia": 17051, + "somaliland": 43315, + "some": 1132, + "some": 836, + "somebody": 8305, + "someday": 17127, + "somehow": 11735, + "someone": 2100, + "somer": 9656, + "somerhalder": 33990, + "somerset": 14926, + "somerville": 41409, + "somes": 38124, + "somethin": 33541, + "something": 28316, + "something": 2006, + "sometime": 21464, + "sometimes": 4237, + "somewhat": 17864, + "somewhere": 8119, + "somm": 42726, + "somme": 30625, + "sommer": 44954, + "somos": 24951, + "son": 1176, + "son": 825, + "sona": 21249, + "sonam": 40096, + "sonar": 48235, + "sonata": 37009, + "sone": 29599, + "song": 6868, + "song": 2295, + "songs": 4641, + "songwriter": 13034, + "songwriters": 39583, + "songwriting": 33567, + "songz": 49302, + "soni": 34899, + "soni": 35911, + "sonia": 20409, + "sonic": 23785, + "sonic": 9132, + "sonics": 48511, + "sonja": 46102, + "sonline": 23412, + "sonny": 43000, + "sonny": 20880, + "sono": 44109, + "sonom": 48596, + "sonoma": 26269, + "sons": 5502, + "sonsof": 46676, + "sont": 31063, + "sonthe": 40923, + "sony": 16042, + "sony": 8748, + "sonya": 39172, + "soo": 5517, + "soo": 8602, + "soom": 39771, + "soon": 27559, + "soon": 1745, + "sooner": 18968, + "sooners": 30449, + "sooo": 11526, + "soooo": 13658, + "sooooo": 21199, + "soooooo": 34859, + "soor": 46698, + "soothe": 44424, + "soothing": 27730, + "sop": 3974, + "sop": 19194, + "soph": 34963, + "sophi": 6192, + "sophia": 16790, + "sophie": 38648, + "sophie": 12357, + "sophistic": 17646, + "sophisticated": 20833, + "sophom": 13696, + "sophomore": 15242, + "sophomores": 47645, + "soprano": 28880, + "soproud": 44479, + "sor": 1852, + "sor": 16872, + "sora": 38719, + "sorbet": 39994, + "sore": 43330, + "sore": 15454, + "sored": 6731, + "soren": 38907, + "sorg": 28152, + "sori": 38588, + "sorority": 30059, + "soros": 33248, + "sorren": 44012, + "sorrow": 28020, + "sorrows": 47924, + "sorry": 25745, + "sorry": 3675, + "sorrynotsorry": 37105, + "sort": 8450, + "sorta": 34700, + "sorted": 13221, + "sorting": 19198, + "sorts": 12577, + "sory": 16257, + "sos": 25145, + "sos": 5792, + "sosa": 45433, + "sosfam": 47709, + "sot": 41542, + "sot": 34116, + "sothe": 32145, + "sotho": 45496, + "soto": 27947, + "sotto": 26047, + "sotu": 32286, + "sou": 1101, + "sou": 24293, + "sought": 18874, + "soul": 8701, + "soul": 3755, + "soulful": 30196, + "soulmate": 38130, + "souls": 10951, + "soun": 19474, + "sound": 5236, + "sound": 3608, + "soundcheck": 31394, + "soundcloud": 15190, + "sounded": 28287, + "sounders": 44933, + "sounding": 21351, + "sounds": 5694, + "soundtrack": 11389, + "soup": 7077, + "soups": 45052, + "sour": 2235, + "sour": 12049, + "source": 23698, + "source": 3634, + "sourced": 23340, + "sources": 5124, + "sourcing": 19574, + "sourdough": 29921, + "souri": 11674, + "sous": 32093, + "sousa": 46296, + "sout": 38156, + "sout": 32732, + "south": 2938, + "south": 2045, + "southafrica": 15184, + "southampton": 15767, + "southbank": 44173, + "southbound": 22932, + "southeast": 13942, + "southeastern": 26813, + "southend": 25583, + "souther": 33330, + "southern": 17704, + "southern": 5036, + "southgate": 47262, + "southkorea": 43552, + "southport": 37446, + "southside": 36436, + "southsudan": 30419, + "southwark": 39098, + "southwe": 46443, + "southwest": 13320, + "southwestern": 30157, + "souven": 20210, + "souvenir": 24811, + "souvenirs": 48460, + "souza": 29424, + "sov": 29737, + "sover": 31876, + "sovere": 17736, + "sovereign": 29418, + "sovereign": 26337, + "sovereignty": 31701, + "soviet": 14274, + "sow": 33089, + "sowe": 36130, + "soweto": 47070, + "sown": 49369, + "sox": 39556, + "sox": 8657, + "soy": 16524, + "soy": 15010, + "soybean": 34606, + "soybeans": 40840, + "soyu": 39578, + "soyuz": 43842, + "sp": 588, + "sp": 4393, + "spa": 7852, + "spa": 6692, + "spac": 10336, + "space": 7857, + "space": 2138, + "spacecraft": 25940, + "spaces": 9006, + "spaceship": 34317, + "spacex": 22511, + "spacey": 48770, + "spacious": 24769, + "spad": 45362, + "spade": 32562, + "spades": 48368, + "spaghetti": 18440, + "spain": 5083, + "spal": 26018, + "spam": 29712, + "spam": 14624, + "span": 4270, + "span": 14537, + "spandex": 41686, + "spani": 16721, + "spaniel": 35435, + "spanish": 29966, + "spanish": 6013, + "spann": 25323, + "spanning": 38638, + "spans": 45407, + "spaper": 34548, + "spar": 3378, + "spar": 34576, + "spare": 12615, + "spares": 39505, + "spark": 9555, + "spark": 11047, + "sparked": 32647, + "sparkle": 18287, + "sparkles": 36410, + "sparkling": 17893, + "sparkly": 30542, + "sparks": 15046, + "sparky": 47198, + "sparring": 42161, + "sparrow": 22888, + "spart": 10143, + "sparta": 38401, + "spartan": 26582, + "spartan": 24225, + "spartans": 20457, + "sparty": 36477, + "spas": 31714, + "spati": 19200, + "spatial": 22022, + "spaw": 31605, + "spawn": 29166, + "spay": 40634, + "spc": 20492, + "spca": 37018, + "spd": 37717, + "spd": 28307, + "spdwy": 45981, + "spe": 876, + "spe": 36676, + "speak": 20599, + "speak": 4208, + "speake": 46077, + "speaker": 25764, + "speaker": 4914, + "speakers": 7675, + "speaking": 3714, + "speaks": 5661, + "spear": 23277, + "spear": 30420, + "speare": 43859, + "spears": 20242, + "spec": 1711, + "spec": 18596, + "speci": 1969, + "special": 11422, + "special": 1689, + "specialist": 10630, + "specialists": 21719, + "speciality": 46904, + "specialized": 23265, + "specializes": 48533, + "specially": 4513, + "specials": 11983, + "specialty": 18262, + "species": 6330, + "specific": 10528, + "specifically": 17174, + "specification": 46394, + "specifications": 39705, + "specified": 48114, + "specimen": 30263, + "specimens": 42715, + "specs": 24093, + "spect": 3416, + "spectac": 7242, + "spectacle": 34342, + "spectacular": 8404, + "spectator": 32372, + "spectators": 39306, + "spective": 6633, + "spector": 48676, + "spectral": 45441, + "spectre": 35998, + "spectro": 27646, + "spectrum": 13532, + "specul": 19209, + "speculation": 30898, + "sped": 38813, + "spee": 4050, + "speech": 19556, + "speech": 4902, + "speeches": 25208, + "speechless": 23152, + "speed": 6860, + "speed": 4163, + "speeding": 27264, + "speeds": 22017, + "speedway": 11480, + "speedy": 21603, + "spel": 41887, + "spell": 22784, + "spell": 11230, + "spelled": 24339, + "spelling": 15614, + "spells": 25335, + "spelt": 38316, + "spen": 5087, + "spence": 33324, + "spencer": 27509, + "spencer": 10678, + "spend": 4664, + "spending": 5961, + "spends": 22508, + "spent": 4429, + "speople": 33035, + "sper": 8213, + "sper": 15313, + "sperm": 35781, + "sperson": 22687, + "spf": 34973, + "spg": 34623, + "sph": 28909, + "sph": 24684, + "sphe": 33691, + "spher": 18349, + "sphere": 6987, + "spheres": 37478, + "spheric": 21744, + "sphin": 39237, + "sphinx": 46487, + "spho": 20442, + "sphoto": 38594, + "sphy": 43808, + "spi": 3174, + "spi": 37080, + "spic": 17264, + "spice": 29761, + "spice": 10141, + "spiced": 24267, + "spicer": 37627, + "spices": 21194, + "spicy": 10915, + "spide": 36801, + "spider": 11963, + "spider": 7622, + "spiderman": 39808, + "spiderman": 18427, + "spiders": 23141, + "spidey": 41706, + "spie": 28573, + "spie": 28746, + "spied": 43998, + "spiegel": 45351, + "spiel": 28435, + "spiel": 37690, + "spielberg": 37569, + "spies": 25374, + "spieth": 43254, + "spike": 35306, + "spike": 15310, + "spiked": 47014, + "spikes": 29582, + "spil": 47765, + "spill": 43933, + "spill": 18006, + "spilled": 33206, + "spilling": 49006, + "spills": 35796, + "spin": 6288, + "spin": 9226, + "spinach": 14747, + "spinal": 23925, + "spine": 48221, + "spine": 19646, + "sping": 47113, + "spinner": 29924, + "spinning": 13987, + "spino": 40848, + "spinoff": 42513, + "spinrilla": 46064, + "spins": 27243, + "spion": 39604, + "spionage": 41838, + "spir": 3745, + "spiral": 19873, + "spiration": 38126, + "spire": 27439, + "spired": 40650, + "spires": 46938, + "spiri": 4024, + "spirit": 18224, + "spirit": 4071, + "spirited": 34701, + "spirits": 13192, + "spiritu": 7237, + "spiritual": 46076, + "spiritual": 9473, + "spirituality": 22165, + "spiro": 40085, + "spit": 18115, + "spit": 23177, + "spite": 26060, + "spitfire": 31126, + "spitting": 40721, + "spl": 2470, + "spl": 33052, + "spla": 4809, + "splac": 16059, + "splace": 38743, + "splash": 43641, + "splash": 11879, + "splat": 15733, + "splatoon": 22565, + "splay": 3169, + "splen": 18552, + "splend": 29861, + "splendid": 21016, + "splendor": 46262, + "splin": 38090, + "split": 25443, + "split": 9109, + "splits": 34897, + "splitting": 37210, + "splus": 40866, + "spn": 35467, + "spn": 19414, + "spnfamily": 38566, + "spo": 1261, + "spo": 21085, + "spock": 43918, + "spoil": 25600, + "spoiled": 21399, + "spoiler": 16512, + "spoilers": 18326, + "spoils": 42436, + "spoilt": 35358, + "spokane": 24528, + "spoke": 13890, + "spoke": 6518, + "spoken": 12979, + "spokesman": 31632, + "spokesperson": 26234, + "spol": 22476, + "spol": 8132, + "spoli": 34301, + "spolice": 37406, + "spon": 1715, + "spon": 48216, + "sponge": 22861, + "sponge": 24345, + "spongebob": 25089, + "spons": 5597, + "sponsor": 10424, + "sponsor": 7574, + "sponsored": 7197, + "sponsoring": 16181, + "sponsors": 11005, + "sponsorship": 17632, + "spontaneous": 32465, + "spoo": 11248, + "spooky": 15369, + "spool": 49152, + "spoon": 27001, + "spoon": 14024, + "spoons": 29661, + "spor": 1475, + "spor": 33746, + "sport": 4379, + "sport": 2364, + "sporting": 32620, + "sporting": 8944, + "sports": 6436, + "sports": 2054, + "sportsc": 40114, + "sportscar": 46931, + "sportscenter": 39157, + "sportsman": 39020, + "sportsmanship": 34858, + "sportsnet": 34144, + "sportswear": 39747, + "sporty": 33346, + "spot": 3223, + "spot": 3049, + "spotify": 7193, + "spotlight": 7901, + "spots": 7670, + "spotted": 4533, + "spotter": 30742, + "spotting": 15885, + "spouse": 24724, + "spout": 48993, + "spp": 47567, + "spr": 1536, + "spr": 19417, + "spra": 12966, + "spraw": 46590, + "spray": 37885, + "spray": 10449, + "sprayed": 40022, + "spraying": 39224, + "spre": 18740, + "spread": 20620, + "spread": 5284, + "spreading": 11821, + "spreads": 27579, + "spree": 21851, + "spri": 35498, + "spride": 26685, + "spring": 5166, + "spring": 2420, + "springbreak": 37753, + "springer": 30117, + "springfield": 16599, + "springs": 7308, + "springst": 32132, + "springsteen": 28367, + "springtime": 28285, + "springtraining": 49364, + "springwatch": 29239, + "sprink": 15817, + "sprinkle": 42897, + "sprinkler": 48754, + "sprinkles": 37326, + "sprint": 29248, + "sprint": 10751, + "sprinter": 36947, + "sprints": 36404, + "sprite": 32544, + "spro": 13902, + "spro": 37403, + "sproject": 37802, + "sproud": 37686, + "sprout": 35863, + "sprouts": 25756, + "spru": 17041, + "spruce": 23812, + "sprung": 32968, + "sps": 13869, + "spu": 23566, + "spun": 47922, + "spun": 32852, + "spur": 15206, + "spur": 20361, + "spurs": 10916, + "spursofficial": 45290, + "sput": 47521, + "spx": 20584, + "spy": 13861, + "spy": 6656, + "spyder": 39952, + "spying": 36227, + "sq": 9370, + "sq": 11590, + "sqft": 41912, + "sql": 42759, + "sql": 18938, + "sqm": 47978, + "sqn": 41209, + "squ": 1653, + "squad": 13892, + "squad": 4234, + "squadron": 18579, + "squads": 36590, + "square": 19314, + "square": 3999, + "squared": 32967, + "squares": 26972, + "squash": 13312, + "squat": 44628, + "squat": 30680, + "squats": 40213, + "sque": 9721, + "sque": 8097, + "squee": 14420, + "squeeze": 21684, + "squeezed": 40413, + "squid": 42057, + "squid": 22553, + "squir": 9683, + "squire": 48090, + "squirrel": 14004, + "squirrels": 26623, + "squish": 42607, + "squishy": 47001, + "sr": 3437, + "sr": 5428, + "srbachchan": 32353, + "src": 23445, + "sre": 17748, + "sri": 11051, + "sri": 9276, + "sridevi": 46301, + "srilan": 15559, + "srilanka": 16922, + "srin": 26818, + "srinagar": 33671, + "srini": 41899, + "sriracha": 42743, + "sris": 27851, + "srisri": 32966, + "srk": 44982, + "srk": 11216, + "srl": 33808, + "srp": 43004, + "srs": 41764, + "srsly": 44179, + "srt": 28139, + "sru": 44152, + "srugby": 40526, + "ss": 690, + "ss": 632, + "ssa": 6088, + "ssal": 31330, + "ssal": 35936, + "ssb": 37511, + "ssc": 21692, + "ssc": 20364, + "ssd": 23107, + "sse": 9030, + "sse": 8938, + "ssed": 38755, + "ssed": 1804, + "ssel": 17402, + "ssel": 19373, + "sseldorf": 47792, + "ssell": 42388, + "ssels": 8355, + "ssen": 39408, + "ssen": 22645, + "sser": 20445, + "sses": 1802, + "ssett": 44103, + "ssf": 33239, + "ssg": 40707, + "ssh": 48866, + "ssi": 834, + "ssi": 14953, + "ssia": 22238, + "ssian": 31218, + "ssible": 47099, + "ssic": 27774, + "ssic": 17077, + "ssie": 7572, + "ssier": 26422, + "ssil": 15026, + "ssin": 42660, + "ssing": 2112, + "ssion": 16050, + "ssion": 1627, + "ssional": 13727, + "ssionism": 24787, + "ssionist": 27682, + "ssions": 4137, + "ssive": 2734, + "ssively": 28060, + "ssl": 32195, + "ssler": 30287, + "ssly": 24904, + "ssn": 39116, + "ssnhq": 47998, + "sso": 25900, + "sso": 7914, + "ssoccer": 32546, + "sson": 36124, + "sson": 7271, + "ssor": 35152, + "ssp": 31101, + "ssr": 39880, + "sss": 11176, + "ssss": 30676, + "ssss": 15880, + "sssss": 24298, + "sst": 40396, + "ssu": 35351, + "ssummit": 49301, + "ssus": 31286, + "ssw": 36937, + "ssy": 22519, + "ssy": 8661, + "st": 522, + "st": 545, + "sta": 1363, + "sta": 2745, + "stab": 7726, + "stab": 29974, + "stabbed": 24534, + "stabbing": 25474, + "stabil": 42576, + "stabili": 23903, + "stability": 16716, + "stable": 44427, + "stable": 10492, + "stables": 34218, + "stac": 10175, + "stacey": 41653, + "stacey": 24262, + "stache": 23616, + "stack": 24723, + "stack": 11257, + "stacked": 24990, + "stacking": 39836, + "stacks": 24734, + "stacy": 26628, + "stad": 15832, + "stad": 16485, + "stade": 38198, + "stadi": 26587, + "stadion": 48815, + "stadium": 3390, + "stadiums": 38852, + "stadt": 22713, + "staf": 2367, + "staff": 31188, + "staff": 2813, + "staffer": 38494, + "staffers": 44994, + "staffing": 32932, + "stafford": 25006, + "staffordshire": 29198, + "staffs": 36098, + "stag": 12088, + "stag": 20277, + "stage": 23182, + "stage": 2170, + "staged": 19906, + "stages": 12297, + "staggering": 37315, + "staging": 27026, + "stagram": 19503, + "stags": 45936, + "stain": 3933, + "stain": 14603, + "stained": 13751, + "staining": 32523, + "stainless": 12320, + "stains": 32008, + "stair": 7240, + "stair": 17662, + "staircase": 22777, + "stairs": 9577, + "stairway": 45559, + "stak": 39144, + "stake": 15955, + "stake": 7937, + "stakeholder": 39122, + "stakeholders": 22968, + "stakes": 7519, + "staking": 47082, + "stal": 3861, + "stal": 5535, + "stale": 42471, + "stalert": 25450, + "stalin": 28346, + "stalk": 40826, + "stalk": 14878, + "stalker": 26777, + "stalking": 24721, + "stalks": 45886, + "stall": 24636, + "stall": 12058, + "stalled": 40362, + "stallion": 28273, + "stallions": 44787, + "stallone": 40969, + "stalls": 25427, + "stam": 4663, + "stamatic": 30904, + "stamford": 27843, + "stamina": 48753, + "stamp": 28694, + "stamp": 12771, + "stampcollecting": 42852, + "stamped": 38356, + "stampede": 25384, + "stamps": 13827, + "stan": 2203, + "stan": 2434, + "stana": 33311, + "stanbul": 11231, + "stance": 48900, + "stance": 3542, + "stances": 15054, + "stand": 1819, + "stand": 2087, + "standalone": 44887, + "standard": 35780, + "standard": 5807, + "standardi": 30247, + "standards": 9022, + "standby": 36184, + "standing": 39934, + "standing": 2862, + "standings": 19835, + "standoff": 31821, + "standout": 23131, + "standre": 48309, + "stands": 6446, + "standup": 35108, + "standup": 24964, + "standwith": 19540, + "stanford": 36219, + "stanford": 15087, + "stang": 12536, + "stani": 38228, + "stanis": 37711, + "stanley": 19048, + "stanley": 10079, + "stanleycup": 28662, + "stans": 26564, + "stant": 41576, + "stant": 4906, + "stanton": 25400, + "stap": 10438, + "staple": 22695, + "staples": 23646, + "stapleton": 45228, + "star": 993, + "star": 1565, + "starbuck": 48519, + "starbucks": 9499, + "starch": 47837, + "starcraft": 48871, + "stardom": 44616, + "stardust": 34337, + "stare": 18094, + "stared": 47772, + "stares": 37916, + "starfish": 44283, + "stargate": 41099, + "stargazing": 49328, + "staring": 13800, + "stark": 40446, + "stark": 15353, + "starlight": 32197, + "starling": 46205, + "starmagic": 48023, + "starplus": 37815, + "starr": 19186, + "starred": 24180, + "starrer": 41311, + "starring": 6660, + "starry": 30963, + "stars": 2895, + "starship": 37166, + "start": 17466, + "start": 1572, + "started": 2760, + "starter": 7800, + "starters": 22222, + "starting": 2530, + "startrek": 30642, + "startrek": 15349, + "starts": 3105, + "startu": 6996, + "startup": 18049, + "startup": 5882, + "startups": 9056, + "starve": 46957, + "starving": 30473, + "starwar": 17287, + "starwars": 26239, + "starwars": 7887, + "starz": 25928, + "stas": 19866, + "stash": 27711, + "stasy": 45942, + "stat": 3004, + "stat": 15216, + "state": 3492, + "state": 1295, + "statec": 33931, + "stated": 19629, + "statedept": 41458, + "statefair": 40305, + "statement": 5401, + "statements": 19513, + "staten": 38263, + "stateof": 35195, + "states": 22125, + "states": 4218, + "statesman": 35301, + "stateu": 44248, + "statewide": 29561, + "stati": 9622, + "static": 16363, + "stating": 35147, + "station": 13498, + "station": 2631, + "stationary": 29493, + "stationed": 47618, + "stationery": 33851, + "stations": 10051, + "statistical": 29349, + "statistics": 14165, + "stats": 7294, + "statu": 32481, + "statue": 8222, + "statues": 24363, + "status": 6414, + "stau": 28550, + "staur": 3709, + "stav": 20285, + "stax": 32235, + "stay": 4714, + "stay": 2277, + "stayed": 13805, + "staying": 8993, + "stays": 13311, + "staytuned": 39285, + "stc": 29859, + "std": 30477, + "ste": 795, + "ste": 2686, + "stea": 46614, + "stead": 16101, + "stead": 11031, + "steadily": 35049, + "steady": 12937, + "steak": 26955, + "steak": 8913, + "steakhouse": 35031, + "steaks": 30655, + "steal": 37070, + "steal": 10181, + "stealing": 14242, + "steals": 20224, + "stealth": 25327, + "steam": 10962, + "steam": 6972, + "steamboat": 41121, + "steamed": 29007, + "steamer": 49075, + "steaming": 43746, + "steampunk": 24130, + "steamy": 43104, + "stec": 46713, + "stech": 48949, + "stech": 32455, + "sted": 20426, + "sted": 1356, + "stee": 31793, + "steed": 48293, + "steel": 6938, + "steel": 4726, + "steele": 19460, + "steelers": 14430, + "steen": 42851, + "steen": 18625, + "steep": 28648, + "steep": 20714, + "steer": 27612, + "steering": 19833, + "stef": 29158, + "stefan": 15004, + "stefan": 18829, + "stefani": 38319, + "stefano": 30719, + "steff": 30075, + "stein": 13653, + "stein": 5818, + "steiner": 36314, + "stel": 9102, + "stel": 10798, + "stell": 22355, + "stella": 46178, + "stella": 17869, + "stellar": 13810, + "stellen": 42754, + "stem": 24342, + "stem": 6761, + "stemc": 40486, + "stems": 31503, + "sten": 7652, + "sten": 7877, + "stencil": 47854, + "stennis": 45636, + "step": 15572, + "step": 3348, + "steph": 3522, + "steph": 16251, + "stephan": 37312, + "stephani": 48121, + "stephanie": 14361, + "stephen": 10421, + "stephen": 6078, + "stephenking": 46361, + "stephens": 22256, + "stephenson": 37280, + "stepped": 18384, + "stepping": 15906, + "steps": 5408, + "ster": 1022, + "ster": 881, + "stere": 9229, + "stered": 6935, + "stereo": 15992, + "stereo": 17400, + "stereotypes": 27890, + "steria": 38804, + "stering": 14175, + "sterling": 45790, + "sterling": 9378, + "stern": 36254, + "stern": 2945, + "steroids": 37670, + "sterone": 39418, + "sters": 2132, + "stery": 24232, + "stest": 8556, + "stev": 11640, + "steve": 7412, + "steve": 3803, + "steven": 10973, + "steven": 8016, + "stevens": 13877, + "stevenson": 25091, + "stevie": 42104, + "stevie": 18969, + "stew": 17906, + "stewar": 28453, + "steward": 34980, + "steward": 43355, + "stewards": 49294, + "stewardship": 36720, + "stewart": 8120, + "stfu": 47000, + "stg": 48387, + "stgeorge": 43698, + "sth": 13456, + "sth": 34004, + "sthe": 16491, + "sthel": 42863, + "sti": 860, + "sti": 12439, + "stia": 26492, + "stible": 25835, + "stic": 5868, + "stic": 1561, + "stical": 16660, + "stically": 19041, + "stick": 5483, + "stick": 4987, + "sticker": 11270, + "stickers": 11613, + "sticking": 21021, + "sticks": 10016, + "sticky": 18887, + "stics": 5449, + "stie": 38164, + "stie": 11000, + "stier": 42069, + "sties": 16428, + "stiff": 43471, + "stiff": 21441, + "stig": 4088, + "stig": 42551, + "stigate": 15390, + "stigma": 20619, + "stik": 42247, + "stil": 21790, + "stil": 37519, + "stiles": 33028, + "still": 13209, + "still": 1170, + "stills": 20259, + "stim": 18269, + "stime": 24711, + "stimul": 16434, + "stimulate": 42380, + "stimulating": 41237, + "stimulation": 39530, + "stimulus": 47283, + "stin": 2588, + "stin": 4025, + "stina": 22359, + "stine": 7098, + "sting": 19868, + "sting": 1271, + "stingly": 49332, + "stingray": 43229, + "stink": 38213, + "stinky": 44957, + "stino": 40658, + "stint": 33531, + "stion": 10812, + "stip": 39869, + "stips": 44756, + "stique": 43305, + "stir": 12416, + "stir": 19564, + "stirling": 23128, + "stirring": 39205, + "stis": 45224, + "stit": 14110, + "stitch": 30003, + "stitch": 14771, + "stitched": 36540, + "stitcher": 48204, + "stitches": 32360, + "stitching": 45208, + "stitu": 14585, + "stitutes": 40479, + "stive": 22426, + "stix": 48829, + "stjohn": 36153, + "stl": 14179, + "stl": 12527, + "stlblues": 44138, + "stlcards": 28644, + "stle": 7698, + "stles": 48638, + "stlouis": 40358, + "stlouis": 39516, + "stm": 28333, + "stn": 27175, + "sto": 928, + "sto": 5723, + "stock": 5899, + "stock": 3206, + "stocked": 23552, + "stockholm": 16024, + "stocki": 42944, + "stocking": 17335, + "stockings": 28040, + "stockmarket": 40359, + "stockport": 35569, + "stocks": 9321, + "stockton": 26130, + "stoday": 22392, + "stok": 43782, + "stoke": 31338, + "stoke": 13550, + "stoked": 13160, + "stokes": 27512, + "stol": 11401, + "stol": 6700, + "stole": 10995, + "stolen": 8704, + "stolic": 45020, + "stom": 2343, + "stom": 38068, + "stoma": 43545, + "stomach": 14722, + "stomp": 40165, + "stomping": 46144, + "ston": 4101, + "ston": 1839, + "stone": 7694, + "stone": 2441, + "stoned": 36248, + "stonehenge": 42417, + "stoner": 35131, + "stoner": 29115, + "stones": 42659, + "stones": 6885, + "stonewall": 39688, + "stoney": 44198, + "stony": 41717, + "stony": 35691, + "stoo": 24505, + "stood": 9151, + "stool": 34413, + "stool": 22314, + "stop": 6005, + "stop": 1691, + "stopbrexit": 48680, + "stopp": 15738, + "stopped": 6015, + "stopper": 32147, + "stoppers": 34457, + "stopping": 10735, + "stops": 9822, + "stopthe": 26463, + "stor": 809, + "stor": 17740, + "storage": 6824, + "store": 17769, + "store": 2183, + "stored": 28257, + "stores": 6370, + "storey": 24025, + "storians": 34628, + "stories": 3784, + "storing": 40087, + "stork": 46452, + "storm": 7434, + "storm": 2819, + "stormed": 45939, + "stormhour": 12161, + "storming": 24842, + "storms": 6464, + "stormtrooper": 49218, + "stormy": 20075, + "stors": 7178, + "story": 6512, + "story": 1134, + "storyline": 37079, + "storymonth": 23717, + "storyteller": 35882, + "storytelling": 14457, + "storytime": 44197, + "stos": 19281, + "stou": 37168, + "stour": 37361, + "stour": 21928, + "stout": 16550, + "stove": 21423, + "stow": 44284, + "stow": 17046, + "stowe": 34196, + "stown": 28071, + "stown": 7939, + "stp": 30576, + "stpatrick": 21343, + "stpatricksday": 22747, + "str": 807, + "str": 15913, + "stra": 1894, + "stra": 6253, + "strack": 46861, + "strada": 31134, + "strade": 48968, + "straigh": 31016, + "straight": 22114, + "straight": 4241, + "strain": 16887, + "strains": 38067, + "strait": 22946, + "straits": 41984, + "stral": 23289, + "stralia": 42510, + "stran": 18411, + "strand": 18214, + "strand": 17826, + "stranded": 22975, + "strang": 11138, + "strange": 33380, + "strange": 7288, + "strangely": 37566, + "stranger": 35541, + "stranger": 14149, + "strangers": 20684, + "strangerthings": 43271, + "strangest": 46740, + "strap": 13946, + "strapped": 40922, + "straps": 31213, + "stras": 36814, + "stras": 42125, + "strasbourg": 39576, + "strat": 11345, + "strat": 32925, + "strata": 47278, + "strate": 3532, + "strate": 28758, + "strategi": 49102, + "strategic": 10246, + "strategically": 45706, + "strategies": 9942, + "strategist": 37180, + "strategy": 5637, + "strates": 45724, + "stratford": 23955, + "strath": 21997, + "stration": 3156, + "strato": 28878, + "strauss": 32033, + "strava": 34625, + "stravel": 43494, + "straw": 7430, + "straw": 16438, + "strawberries": 17796, + "strawberry": 10233, + "straws": 33048, + "stray": 30784, + "stray": 15712, + "stre": 1079, + "stre": 19652, + "stread": 27797, + "streak": 11749, + "streaks": 42092, + "stream": 8659, + "stream": 3322, + "streamed": 26280, + "streamer": 25178, + "streamers": 19937, + "streaming": 6278, + "streamline": 44917, + "streams": 13545, + "stree": 35082, + "stree": 32438, + "streep": 38701, + "street": 4839, + "street": 2012, + "streetart": 12948, + "streetcar": 34268, + "streetfood": 44486, + "streetphotography": 20786, + "streets": 6058, + "streetstyle": 39118, + "streetwear": 37298, + "strel": 39685, + "stren": 4349, + "streng": 4472, + "strength": 15475, + "strength": 5959, + "strengthen": 16318, + "strengthened": 47131, + "strengthening": 23475, + "strengthens": 40280, + "strengths": 29268, + "stress": 17297, + "stress": 5843, + "stressed": 16497, + "stresses": 32112, + "stressful": 24268, + "stressing": 35917, + "stret": 12265, + "stretch": 10064, + "stretched": 29393, + "stretches": 32231, + "stretching": 24423, + "stri": 1493, + "stri": 27795, + "stria": 39620, + "strial": 30217, + "strian": 12924, + "stric": 2607, + "strick": 25181, + "strickland": 48939, + "strict": 21585, + "strictly": 16475, + "stride": 36024, + "strides": 37355, + "stries": 18171, + "strife": 46473, + "strike": 20774, + "strike": 5767, + "striker": 12448, + "strikers": 33465, + "strikes": 9280, + "striking": 13392, + "string": 25512, + "string": 9696, + "strings": 15699, + "strip": 9317, + "stripe": 19368, + "striped": 22192, + "stripes": 14239, + "stripped": 26602, + "stripper": 45759, + "stripping": 48588, + "strips": 19000, + "strive": 22140, + "striving": 37671, + "stro": 3121, + "stro": 6186, + "stroke": 44621, + "stroke": 10403, + "strokes": 26595, + "strol": 30123, + "stroll": 15924, + "stroller": 47076, + "strolling": 40911, + "strom": 14707, + "stron": 4165, + "strong": 10436, + "strong": 2389, + "stronger": 27760, + "stronger": 9245, + "strongertogether": 38532, + "strongest": 16171, + "strongh": 38678, + "strongly": 15507, + "strophy": 47912, + "strou": 48425, + "stroud": 39895, + "strous": 23752, + "stru": 1666, + "struc": 3311, + "struck": 10861, + "struction": 12497, + "structural": 16899, + "structure": 5285, + "structured": 27147, + "structures": 14171, + "structuring": 37496, + "strugg": 5176, + "struggle": 8443, + "struggled": 32921, + "struggles": 17446, + "struggling": 12135, + "struly": 34118, + "strum": 37632, + "strung": 46033, + "strust": 23920, + "strut": 48375, + "stry": 17325, + "stry": 2245, + "sts": 1088, + "stu": 858, + "stu": 23531, + "stuart": 32054, + "stuart": 11723, + "stub": 27066, + "stubborn": 38955, + "stuck": 6596, + "stud": 22368, + "stud": 13319, + "studded": 29153, + "studen": 44156, + "student": 14681, + "student": 2556, + "students": 1712, + "studi": 5691, + "studied": 21369, + "studies": 6426, + "studio": 17798, + "studio": 3155, + "studios": 6231, + "studs": 27571, + "study": 21051, + "study": 3123, + "studyabroad": 45425, + "studying": 8826, + "stuff": 46072, + "stuff": 3487, + "stuffed": 11781, + "stuffing": 31612, + "stuffs": 43455, + "stuk": 32424, + "stumb": 16784, + "stumble": 39045, + "stumbled": 21776, + "stump": 32064, + "stun": 3088, + "stun": 37959, + "stunned": 34034, + "stunner": 29965, + "stunning": 3769, + "stunningly": 47515, + "stuns": 43796, + "stunt": 19905, + "stunts": 40118, + "stupi": 18975, + "stupid": 42600, + "stupid": 8085, + "stupidity": 33766, + "stur": 10676, + "sturdy": 43780, + "stures": 27223, + "sturgeon": 31580, + "sturi": 21747, + "sturridge": 45331, + "stutt": 30444, + "stuttgart": 32219, + "stv": 27060, + "stv": 9708, + "stweet": 46832, + "stweets": 39174, + "stx": 42548, + "sty": 1421, + "sty": 2920, + "style": 12356, + "style": 1844, + "styled": 17974, + "styles": 6948, + "styli": 38577, + "styling": 14597, + "stylish": 10378, + "stylist": 15928, + "styn": 41394, + "su": 605, + "su": 2937, + "sua": 42448, + "suarez": 21437, + "suave": 47305, + "sub": 1783, + "sub": 7765, + "subaru": 21319, + "subjec": 16090, + "subject": 10300, + "subjects": 22099, + "subli": 16350, + "sublime": 22367, + "submarine": 19968, + "submer": 27156, + "submerged": 43171, + "submission": 16571, + "submissions": 21566, + "submit": 10423, + "submitted": 15189, + "submitting": 38788, + "subram": 49207, + "subs": 16398, + "subscri": 5838, + "subscribe": 9839, + "subscribed": 44867, + "subscriber": 36292, + "subscribers": 17337, + "subscription": 17979, + "subscriptions": 47162, + "subsequ": 33598, + "subsequent": 44323, + "subsi": 14856, + "subsidi": 45029, + "subsidiary": 45506, + "subsidies": 37685, + "subsidy": 47462, + "substan": 17487, + "substance": 19309, + "substances": 36834, + "substantial": 27171, + "substantially": 47577, + "substitu": 18529, + "substitute": 25340, + "subtitles": 39479, + "subtle": 16536, + "subur": 12517, + "suburb": 37664, + "suburban": 23570, + "suburbs": 25317, + "subway": 12196, + "suc": 1869, + "succe": 7981, + "succeed": 13556, + "succeeded": 41077, + "succes": 39019, + "success": 3695, + "success": 3034, + "successes": 29436, + "successful": 4670, + "successfully": 9934, + "succession": 38491, + "successive": 41319, + "successor": 34774, + "succu": 45253, + "succul": 25671, + "succulent": 35236, + "such": 2046, + "suction": 42786, + "sud": 8067, + "sud": 33714, + "sudan": 31149, + "sudan": 13474, + "sudanese": 42837, + "sudbury": 32488, + "sudden": 10833, + "sudden": 15433, + "suddenly": 11076, + "sue": 14045, + "sue": 6641, + "sued": 22225, + "suede": 21036, + "sues": 17105, + "suf": 21204, + "suf": 22579, + "sufc": 37091, + "suff": 4866, + "suffe": 13510, + "suffer": 13557, + "suffered": 14766, + "suffering": 10140, + "suffers": 22389, + "sufficient": 28410, + "suffol": 13775, + "suffolk": 46408, + "suffolk": 15685, + "suffra": 34596, + "suffrage": 39567, + "sufi": 39756, + "sug": 3189, + "suga": 28757, + "sugar": 12418, + "sugar": 5574, + "sugge": 6345, + "suggest": 13356, + "suggested": 18790, + "suggesti": 15033, + "suggesting": 29792, + "suggestion": 23741, + "suggestions": 16052, + "suggests": 13333, + "suho": 32744, + "sui": 24972, + "suici": 16372, + "suicidal": 37165, + "suicide": 31310, + "suicide": 8247, + "suing": 18309, + "suisse": 35964, + "suit": 11887, + "suit": 3940, + "suitable": 17476, + "suitcase": 27792, + "suite": 9346, + "suited": 25919, + "suites": 21523, + "suits": 9949, + "suk": 24820, + "suk": 6886, + "suka": 44017, + "suke": 25590, + "sukh": 46961, + "suki": 32704, + "sul": 1767, + "sul": 19879, + "sula": 34713, + "sula": 26143, + "sullivan": 14477, + "sully": 37752, + "sulph": 37234, + "sulphur": 47659, + "sultan": 35650, + "sultan": 17049, + "sum": 7054, + "sum": 8257, + "suma": 47938, + "sumat": 32640, + "sumatra": 47346, + "sume": 45457, + "sumi": 41248, + "summ": 1309, + "summar": 34657, + "summari": 31993, + "summary": 13435, + "summed": 34912, + "summer": 5500, + "summer": 1673, + "summers": 18254, + "summerslam": 40264, + "summertime": 19025, + "summit": 30011, + "summit": 3768, + "summon": 27622, + "summon": 39782, + "sumner": 46813, + "sumo": 33734, + "sump": 34252, + "sumptuous": 47354, + "sums": 13325, + "sun": 968, + "sun": 2176, + "sunbathing": 46994, + "sunburn": 45767, + "sund": 40735, + "sundae": 38078, + "sundance": 24128, + "sundar": 44936, + "sunday": 6649, + "sunday": 1706, + "sundayfunday": 21565, + "sundaymorning": 24809, + "sundaymotivation": 46227, + "sundays": 15827, + "sundaywith": 26469, + "sundaywithmarsha": 26662, + "sunder": 15097, + "sunderland": 45727, + "sunderland": 18851, + "sundown": 44438, + "sune": 41096, + "sunflower": 21559, + "sunflowers": 39809, + "sung": 16903, + "sung": 6047, + "sunglasses": 12906, + "suni": 17663, + "suni": 47010, + "sunil": 32861, + "sunite": 21382, + "sunited": 35276, + "sunk": 37534, + "sunken": 43473, + "sunlight": 17996, + "sunni": 44315, + "sunny": 15632, + "sunny": 5438, + "sunrise": 5610, + "suns": 18322, + "sunscreen": 29355, + "sunset": 37880, + "sunset": 3424, + "sunsets": 17721, + "sunshine": 32761, + "sunshine": 5385, + "suny": 41308, + "sup": 19078, + "sup": 8249, + "supdates": 24177, + "super": 1642, + "super": 1994, + "superb": 8930, + "superbike": 45709, + "superbowl": 47461, + "superbowl": 16467, + "supercar": 27021, + "supercars": 32185, + "supercell": 43227, + "supercharged": 47479, + "supere": 46831, + "superfood": 41715, + "supergirl": 25771, + "superhero": 14049, + "superheroes": 23334, + "superint": 17615, + "superintendent": 19020, + "superior": 13205, + "superjunior": 40475, + "superleague": 45539, + "superman": 11237, + "supermarket": 19897, + "supermarkets": 45106, + "supermodel": 41963, + "supermoon": 36571, + "supernatural": 15484, + "supernova": 39843, + "superrugby": 48717, + "supersonic": 42019, + "supersport": 46319, + "superst": 38202, + "superstar": 32551, + "superstar": 10472, + "superstars": 25797, + "supervis": 12709, + "supervised": 41316, + "supervision": 36234, + "supervisor": 20366, + "supervisors": 37958, + "superyacht": 42714, + "supp": 1023, + "supper": 15727, + "supple": 31431, + "supplement": 19924, + "supplements": 21265, + "supplied": 24106, + "supplier": 18043, + "suppliers": 24196, + "supplies": 9384, + "supply": 25074, + "supply": 6389, + "supplychain": 31224, + "supplying": 32739, + "suppo": 6941, + "suppor": 2104, + "support": 12062, + "support": 1425, + "supported": 8038, + "supporter": 12992, + "supporters": 7403, + "supportindiefilm": 43976, + "supporting": 3976, + "supportive": 18313, + "supportlocal": 43852, + "supports": 8336, + "supportsmall": 30941, + "supportsmallstreamers": 36097, + "suppose": 18924, + "supposed": 9119, + "supposedly": 32302, + "suppre": 20542, + "suppression": 36508, + "supra": 48485, + "supre": 5875, + "supremac": 28643, + "supremacist": 39005, + "supremacy": 28913, + "supreme": 35222, + "supreme": 7468, + "supt": 23625, + "sur": 1090, + "sur": 7123, + "sura": 33412, + "sura": 49125, + "surabaya": 45227, + "surance": 22184, + "surat": 30201, + "sure": 14320, + "sure": 1650, + "sured": 36869, + "surely": 11409, + "sures": 12725, + "suresh": 32118, + "suresh": 31464, + "sureshpp": 41924, + "sureshpprabhu": 42050, + "surf": 10176, + "surf": 10322, + "surface": 7744, + "surfaces": 20746, + "surfer": 24925, + "surfers": 34842, + "surfing": 15762, + "surg": 13045, + "surge": 17457, + "surgeon": 16039, + "surgeons": 26000, + "surger": 5122, + "surgeries": 34940, + "surgery": 5344, + "surgical": 16386, + "suri": 14130, + "suri": 33952, + "suring": 16817, + "suriya": 17832, + "surpass": 45494, + "surpassed": 25648, + "surplus": 29413, + "surpri": 3244, + "surprise": 5099, + "surprised": 8949, + "surprises": 16920, + "surprising": 14964, + "surprisingly": 17367, + "surreal": 18408, + "surrealism": 41773, + "surrender": 20964, + "surrendered": 44601, + "surrey": 26489, + "surrey": 14315, + "surro": 47499, + "surroun": 8250, + "surround": 26543, + "surround": 22999, + "surrounded": 13589, + "surrounding": 12544, + "surroundings": 26915, + "surrounds": 39012, + "suru": 49240, + "surve": 8952, + "surveill": 15408, + "surveillance": 15578, + "survey": 45914, + "survey": 6809, + "surveying": 33085, + "surveys": 25096, + "survi": 3440, + "surviv": 12922, + "survival": 10172, + "survive": 10431, + "survived": 13483, + "survives": 30927, + "surviving": 18609, + "survivor": 31934, + "survivor": 10944, + "survivors": 13711, + "surya": 37767, + "sus": 8091, + "sus": 3036, + "susa": 20546, + "susan": 19922, + "susan": 10168, + "suscep": 44270, + "sush": 22298, + "sushi": 11729, + "sushmaswar": 48200, + "susie": 32284, + "susp": 7971, + "suspec": 10298, + "suspect": 9065, + "suspected": 15579, + "suspects": 18265, + "suspen": 10578, + "suspend": 41007, + "suspended": 13126, + "suspends": 39535, + "suspense": 21556, + "suspension": 15417, + "suspici": 25714, + "suspicion": 34910, + "suspicious": 19862, + "sussex": 31244, + "sussex": 13266, + "sustain": 4644, + "sustain": 28156, + "sustainability": 9635, + "sustainable": 23645, + "sustainable": 7078, + "sustained": 22699, + "sustaining": 44418, + "sut": 23984, + "sut": 28956, + "sutherland": 27592, + "sutton": 39359, + "sutton": 18564, + "suv": 15985, + "suz": 9957, + "suzanne": 24617, + "suzu": 36289, + "suzuki": 16892, + "suzy": 26552, + "sv": 6508, + "sv": 17083, + "svc": 45065, + "sve": 47637, + "sven": 37786, + "sven": 45183, + "sver": 45923, + "sville": 44580, + "sville": 6741, + "svp": 28465, + "svt": 42014, + "svu": 32123, + "sw": 1220, + "sw": 4457, + "swa": 4707, + "swa": 31916, + "swach": 20862, + "swachhb": 31898, + "swachhbharat": 36927, + "swag": 8852, + "swag": 8177, + "swagg": 47702, + "swagger": 35797, + "swain": 43226, + "swal": 13433, + "swallow": 28979, + "swallowed": 46956, + "swallows": 45124, + "swam": 42539, + "swami": 25021, + "swamp": 41953, + "swamp": 16595, + "swamy": 28445, + "swan": 8215, + "swan": 12530, + "swana": 24699, + "swans": 19516, + "swansea": 16567, + "swanson": 34797, + "swap": 15234, + "swapped": 39077, + "swapping": 44702, + "swaps": 49242, + "swar": 11680, + "swarm": 31577, + "swarovski": 28515, + "swat": 32547, + "swat": 26482, + "swatch": 48053, + "sway": 26443, + "sway": 26617, + "swc": 42231, + "swe": 2350, + "swe": 38070, + "swear": 7406, + "swearing": 32627, + "sweat": 10282, + "sweat": 12663, + "sweater": 11455, + "sweaters": 31303, + "sweating": 33215, + "sweats": 39321, + "sweatshirt": 22442, + "sweaty": 28419, + "sweden": 8760, + "swedish": 11585, + "swee": 1812, + "sweek": 30017, + "sweeney": 27286, + "sweep": 23220, + "sweep": 13669, + "sweeping": 25719, + "sweeps": 26887, + "sweepstakes": 25992, + "sweet": 10957, + "sweet": 2418, + "sweetened": 45577, + "sweeter": 32873, + "sweetest": 15180, + "sweethe": 16316, + "sweetheart": 18079, + "sweetie": 24450, + "sweetness": 29713, + "sweets": 18045, + "swel": 48470, + "swell": 35538, + "swell": 21490, + "swelling": 46578, + "swept": 23311, + "swer": 30514, + "swfc": 30227, + "swfl": 46607, + "swi": 3881, + "swi": 45223, + "swick": 17159, + "swif": 28548, + "swift": 34843, + "swift": 8229, + "swild": 33909, + "swild": 38696, + "swildlife": 46818, + "swim": 4928, + "swim": 7681, + "swimmer": 25475, + "swimmers": 27776, + "swimming": 7411, + "swims": 46798, + "swimsuit": 25504, + "swimwear": 31889, + "swin": 14554, + "swin": 40798, + "swindon": 29540, + "swine": 31166, + "swing": 25292, + "swing": 7429, + "swinging": 26760, + "swings": 29141, + "swipe": 31828, + "swire": 42753, + "swirl": 35795, + "swis": 23611, + "swish": 38571, + "swiss": 37917, + "swiss": 9287, + "swit": 3726, + "switch": 22480, + "switch": 5893, + "switched": 22869, + "switches": 33569, + "switching": 21155, + "swith": 17299, + "switzer": 9835, + "switzerland": 9912, + "swivel": 48256, + "swo": 38673, + "swol": 29575, + "swollen": 36129, + "swoo": 29744, + "swood": 24158, + "swoon": 37028, + "swoop": 45661, + "sword": 33294, + "sword": 11356, + "swords": 27181, + "swork": 42722, + "sworld": 33305, + "sworn": 21130, + "sworth": 13322, + "swt": 38878, + "swx": 20597, + "sx": 9402, + "sx": 17806, + "sxsw": 13369, + "sy": 974, + "sy": 2126, + "sya": 35017, + "sycam": 34911, + "sycamore": 43086, + "syd": 4525, + "syd": 22504, + "sydney": 15878, + "sydney": 5278, + "syed": 27624, + "syfy": 32047, + "sykes": 27287, + "syl": 6452, + "sylla": 41708, + "sylvania": 12011, + "sylve": 28369, + "sylvester": 37214, + "sylvia": 25670, + "sym": 3645, + "sym": 40327, + "symb": 22987, + "symbol": 13085, + "symboli": 22019, + "symbolic": 33177, + "symbolism": 44679, + "symbols": 25476, + "symmetry": 31427, + "symp": 11468, + "sympathi": 47493, + "sympathy": 32477, + "symph": 9544, + "symphonic": 42639, + "symphony": 11180, + "sympo": 9730, + "symposium": 9971, + "symptom": 47799, + "symptoms": 12956, + "syn": 3758, + "syn": 36090, + "synago": 30945, + "synagogue": 33518, + "sync": 20081, + "synchron": 23943, + "syndic": 21098, + "syndicate": 28779, + "syndrome": 10927, + "syner": 22283, + "synergy": 32012, + "syno": 31533, + "synod": 47712, + "synopsis": 47018, + "synth": 33841, + "synth": 24462, + "synthe": 22604, + "synthesi": 33565, + "synthesis": 21602, + "synthesizer": 44077, + "synthetic": 19917, + "syou": 26742, + "syour": 21718, + "syrac": 17279, + "syracuse": 19640, + "syrah": 45364, + "syri": 18917, + "syria": 5563, + "syrian": 47562, + "syrian": 10041, + "syrians": 41392, + "syrup": 16611, + "sys": 26726, + "syste": 1933, + "system": 47813, + "system": 2422, + "systematic": 28586, + "systemic": 33807, + "systems": 4828, + "sz": 13438, + "sz": 15879, + "sze": 44507, + "szn": 48092, + "são": 45911, + "sé": 37879, + "t": 83, + "t": 339, + "ta": 648, + "ta": 1397, + "taa": 43874, + "tab": 2648, + "tab": 14724, + "tabby": 36145, + "tabern": 48991, + "tability": 15770, + "table": 12108, + "table": 2175, + "tableau": 39723, + "tables": 7822, + "tablet": 12494, + "tabletop": 46843, + "tabletop": 25773, + "tablets": 20436, + "tably": 24440, + "taboo": 38400, + "tabs": 29163, + "tac": 3145, + "tac": 22653, + "tache": 39239, + "tack": 6339, + "tack": 34446, + "tackle": 10294, + "tackled": 47218, + "tackles": 18021, + "tackling": 19628, + "taco": 31924, + "taco": 12436, + "tacoma": 25397, + "tacos": 14090, + "tactic": 40377, + "tactical": 17137, + "tactics": 16410, + "tacular": 48985, + "tad": 15890, + "tad": 19860, + "tado": 40846, + "tae": 15257, + "tae": 15580, + "taehyung": 24642, + "taek": 30753, + "taekwondo": 39963, + "taemin": 30600, + "taeyang": 45802, + "taeyeon": 27389, + "taf": 29660, + "taft": 42141, + "tag": 3456, + "tag": 3640, + "tage": 2669, + "tages": 39902, + "tagged": 12969, + "tagging": 25138, + "tagne": 47467, + "tags": 11606, + "tah": 14822, + "tah": 7090, + "tahit": 45385, + "tahoe": 26140, + "tai": 6511, + "tai": 13040, + "taiji": 30185, + "tail": 7156, + "tail": 4132, + "tailed": 20626, + "tailgate": 23168, + "tailgating": 42625, + "tailo": 27230, + "tailor": 29870, + "tailored": 28275, + "tailoring": 46357, + "tails": 16066, + "tain": 2841, + "tain": 1908, + "taine": 21214, + "taine": 32299, + "tained": 10212, + "taining": 7565, + "tainment": 30063, + "tains": 3952, + "tainted": 47211, + "taipei": 24356, + "tair": 29143, + "tairp": 43707, + "tait": 45325, + "taiwan": 36319, + "taiwan": 12626, + "taiwanese": 41416, + "taj": 28937, + "taj": 24805, + "taji": 46358, + "tak": 15070, + "tak": 14458, + "taka": 24070, + "taka": 40968, + "take": 5052, + "take": 1172, + "takeaway": 25737, + "takeaways": 32080, + "takeme": 41748, + "taken": 2807, + "takeoff": 32789, + "takeover": 11863, + "taker": 17939, + "takers": 30775, + "takes": 2633, + "takin": 30890, + "taking": 2019, + "taku": 48168, + "tal": 976, + "tal": 2066, + "tala": 29845, + "talaga": 35349, + "talbot": 30585, + "tale": 33971, + "tale": 7798, + "talent": 30435, + "talent": 5114, + "talented": 5331, + "talents": 16136, + "tales": 9469, + "tali": 12122, + "tali": 45406, + "taliban": 20788, + "talis": 36480, + "tality": 15631, + "talk": 12462, + "talk": 1841, + "talked": 10153, + "talkin": 26040, + "talking": 31463, + "talking": 2578, + "talks": 3237, + "tall": 11664, + "tall": 7771, + "talla": 21528, + "tallade": 44220, + "tallahassee": 37832, + "taller": 23470, + "tallest": 19774, + "tallinn": 45079, + "tally": 16323, + "talon": 47897, + "tam": 2661, + "tam": 12246, + "tama": 45424, + "tamanna": 48055, + "tamar": 22901, + "tamara": 35697, + "tame": 38557, + "tame": 32778, + "tamed": 40575, + "tami": 39429, + "tamil": 23046, + "tamil": 14033, + "tamilnadu": 32371, + "tamine": 42566, + "tammy": 28396, + "tampa": 10906, + "tampab": 37852, + "tamu": 34105, + "tan": 2123, + "tan": 5039, + "tana": 21396, + "tand": 20244, + "tandem": 33756, + "tane": 13344, + "tane": 24923, + "taneous": 22275, + "taneously": 24422, + "tang": 10425, + "tang": 20794, + "tanger": 31844, + "tangerine": 42045, + "tangible": 44823, + "tangle": 36568, + "tangled": 33587, + "tango": 24089, + "tani": 31374, + "tani": 32985, + "tania": 45369, + "tank": 29858, + "tank": 6172, + "tanker": 25020, + "tanks": 14223, + "tann": 19174, + "tanner": 22001, + "tanning": 27985, + "tans": 27332, + "tant": 41383, + "tant": 41695, + "tante": 48262, + "tanto": 45685, + "tany": 34410, + "tanya": 26800, + "tanz": 47399, + "tanzania": 15711, + "tao": 29084, + "tao": 18923, + "tap": 17923, + "tap": 7888, + "tapas": 27361, + "tape": 18332, + "tape": 5749, + "taped": 33219, + "tapes": 17903, + "tapestry": 33525, + "taping": 24355, + "tapp": 27644, + "tapp": 27764, + "tapped": 26649, + "tapping": 27882, + "tapro": 34415, + "taproom": 40266, + "taps": 23267, + "tar": 2002, + "tar": 6977, + "tara": 15264, + "tarak": 37813, + "taran": 32370, + "tarantino": 41180, + "tarde": 48670, + "tardis": 35410, + "tares": 34587, + "targe": 9620, + "target": 38556, + "target": 5400, + "targeted": 14968, + "targeting": 15818, + "targets": 12468, + "tari": 4238, + "tari": 38012, + "tarian": 11762, + "tarians": 42789, + "taries": 47291, + "tariff": 40220, + "tariffs": 28335, + "tariq": 42526, + "tarmac": 44294, + "taro": 26264, + "tarot": 23702, + "tart": 16707, + "tart": 14120, + "tartan": 35064, + "tarts": 29799, + "tary": 31729, + "tary": 5065, + "tarzan": 45463, + "tas": 6538, + "tas": 10163, + "tash": 35272, + "tasha": 44967, + "task": 39189, + "task": 10549, + "tasks": 19453, + "tasmania": 22429, + "tasmanian": 45102, + "tassel": 49276, + "tast": 10839, + "taste": 14314, + "taste": 5219, + "tasted": 22827, + "tasteof": 38097, + "taster": 29743, + "tastes": 13736, + "tastic": 21337, + "tasting": 7656, + "tastings": 49273, + "tasty": 43390, + "tasty": 8568, + "tat": 2652, + "tat": 21592, + "tata": 19300, + "tate": 44476, + "tate": 13295, + "tath": 27566, + "tati": 31433, + "tatiana": 48837, + "tation": 5280, + "tations": 32324, + "tator": 18791, + "tators": 37206, + "tats": 44557, + "tatt": 9232, + "tatted": 41605, + "tattoo": 15980, + "tattoo": 6325, + "tattooed": 28541, + "tattoos": 14900, + "tatum": 26103, + "tau": 6620, + "tau": 20510, + "taught": 9306, + "taun": 23910, + "taunton": 40681, + "taurus": 32881, + "taver": 37776, + "tavern": 18644, + "taw": 33868, + "taw": 40289, + "tawa": 29035, + "tawards": 14351, + "tax": 4581, + "tax": 3879, + "taxation": 36847, + "taxes": 11462, + "taxi": 25160, + "taxi": 11380, + "taxider": 47420, + "taxis": 34009, + "taxpay": 17986, + "taxpayer": 30978, + "taxpayers": 25503, + "tay": 6542, + "tay": 15073, + "taya": 38484, + "tayl": 3913, + "taylor": 9044, + "taylor": 3961, + "taylorswift": 18936, + "tayo": 33941, + "taz": 41475, + "taz": 31870, + "tb": 1990, + "tb": 7490, + "tba": 34363, + "tball": 8390, + "tball": 1467, + "tbc": 31807, + "tbd": 45548, + "tbh": 13238, + "tbi": 45868, + "tbl": 42962, + "tbli": 43664, + "tblightning": 44178, + "tbo": 34255, + "tbr": 46643, + "tbs": 37368, + "tbt": 2950, + "tc": 6820, + "tc": 5454, + "tca": 35116, + "tch": 10744, + "tch": 4048, + "tches": 42001, + "tcm": 21501, + "tcm": 26588, + "tcmparty": 24338, + "tcot": 8995, + "tcs": 39107, + "tcu": 26791, + "td": 20578, + "td": 3192, + "tdf": 21844, + "tdi": 45621, + "tdp": 47009, + "tds": 20238, + "tdsb": 29836, + "te": 600, + "te": 756, + "tea": 41053, + "tea": 3274, + "teach": 2043, + "teach": 6865, + "teacher": 18051, + "teacher": 4008, + "teachers": 5069, + "teaches": 17110, + "teaching": 5141, + "teachings": 32119, + "teal": 22821, + "team": 2085, + "team": 1027, + "teamcanada": 46636, + "teamed": 20590, + "teamgb": 40971, + "teaming": 24392, + "teammate": 17900, + "teammates": 13921, + "teams": 3891, + "teamsisd": 34703, + "teamusa": 28625, + "teamwork": 14657, + "teaparty": 33065, + "teapo": 35745, + "teapot": 40749, + "tear": 15802, + "tear": 11862, + "tearful": 46873, + "tearing": 24785, + "tears": 7688, + "teas": 23003, + "teas": 29314, + "tease": 25163, + "teased": 49122, + "teaser": 8982, + "teasers": 48990, + "teases": 28509, + "teasing": 36507, + "teat": 26376, + "teatime": 48948, + "teatro": 35756, + "teau": 24931, + "tebow": 37797, + "tec": 17381, + "tec": 11612, + "tech": 1782, + "tech": 2061, + "techcrunch": 42110, + "techn": 6252, + "technews": 31787, + "technic": 16639, + "technic": 37666, + "technical": 49231, + "technical": 7582, + "technically": 23180, + "technician": 22540, + "technicians": 35513, + "techno": 2599, + "techno": 17564, + "technological": 23068, + "technologies": 10040, + "technology": 3089, + "techs": 41353, + "ted": 4841, + "ted": 775, + "tedcruz": 27517, + "teddy": 25758, + "teddy": 11798, + "tedly": 8539, + "tedu": 42517, + "tedx": 17950, + "tedx": 41504, + "tee": 12676, + "tee": 3385, + "teed": 13692, + "teen": 5398, + "teen": 4697, + "teenage": 14069, + "teenager": 19338, + "teenagers": 25989, + "teenchoice": 28203, + "teens": 12375, + "teenth": 20249, + "teenwolf": 40067, + "teeny": 41622, + "teer": 48648, + "tees": 9641, + "teessi": 43295, + "teeth": 8225, + "tega": 29508, + "tegr": 39801, + "teh": 18720, + "teh": 29601, + "tehran": 26399, + "tein": 33223, + "tej": 46724, + "tek": 17489, + "tek": 18294, + "tekken": 29843, + "tel": 4978, + "tel": 2226, + "telang": 23469, + "telangana": 26386, + "tele": 3103, + "tele": 32851, + "telecom": 21057, + "telecommunications": 39900, + "telegram": 26780, + "telegraph": 14713, + "telephone": 17243, + "telescope": 19037, + "telethon": 49266, + "televised": 39470, + "television": 8608, + "telford": 38323, + "tell": 16069, + "tell": 2330, + "teller": 20415, + "tellers": 42707, + "telling": 5507, + "tells": 5217, + "tellu": 42511, + "telly": 31475, + "tels": 43607, + "telugu": 22927, + "tely": 5630, + "tem": 2404, + "tem": 17536, + "tema": 45881, + "teme": 43378, + "temp": 2684, + "temp": 11097, + "tempe": 36723, + "temper": 5981, + "temper": 35521, + "temperature": 9543, + "temperatures": 11575, + "tempered": 40521, + "tempest": 36053, + "templ": 16679, + "template": 18591, + "templates": 30498, + "temple": 21841, + "temple": 5620, + "temples": 24024, + "tempo": 19625, + "tempor": 4858, + "temporal": 43656, + "temporarily": 23189, + "temporary": 6513, + "temps": 11668, + "tempt": 28460, + "temptation": 30118, + "tempted": 26226, + "tempting": 34876, + "ten": 1149, + "ten": 2581, + "tenant": 16954, + "tenants": 26023, + "tenay": 45384, + "tenberg": 31329, + "tend": 17630, + "tend": 21252, + "tendency": 47277, + "tender": 23020, + "tender": 9838, + "tenderloin": 42750, + "tenders": 44741, + "tending": 35084, + "tendon": 48459, + "tends": 39962, + "tene": 24868, + "tened": 13682, + "tener": 29054, + "teneri": 28000, + "tenerife": 29401, + "teners": 41307, + "teness": 18018, + "teng": 34016, + "teng": 28474, + "tennant": 29310, + "tennes": 9514, + "tennessee": 10053, + "tennis": 31504, + "tennis": 5298, + "tenor": 30521, + "tens": 14062, + "tense": 23518, + "tension": 15221, + "tensions": 24224, + "tenstein": 49139, + "tent": 18505, + "tent": 10782, + "tentative": 48238, + "tenth": 27483, + "tention": 12191, + "tents": 30730, + "tenure": 30739, + "teo": 18665, + "tep": 31806, + "tequ": 17502, + "tequila": 18510, + "ter": 704, + "ter": 652, + "tera": 15155, + "teras": 44830, + "tere": 11329, + "tered": 49272, + "tered": 4389, + "terence": 33806, + "teresa": 19081, + "teri": 30917, + "teria": 22685, + "terie": 42276, + "tering": 7929, + "term": 40991, + "term": 4780, + "termin": 4766, + "terminal": 11816, + "terminals": 44091, + "terminator": 29609, + "terminology": 48896, + "terms": 8663, + "tern": 41572, + "tern": 12959, + "terns": 25251, + "tero": 20727, + "tero": 24697, + "terps": 41471, + "terr": 3921, + "terra": 22366, + "terra": 18816, + "terrac": 28549, + "terrace": 13820, + "terraces": 47508, + "terracotta": 45123, + "terrain": 20184, + "terran": 43726, + "terre": 33888, + "terre": 27537, + "terrell": 39494, + "terrence": 38746, + "terrestrial": 46299, + "terri": 4504, + "terri": 36722, + "terrible": 9741, + "terribly": 34558, + "terrier": 14455, + "terriers": 47047, + "terrific": 13837, + "terrified": 28204, + "terrifying": 18526, + "territ": 10720, + "territorial": 39163, + "territories": 32846, + "territory": 13936, + "terror": 9596, + "terror": 9327, + "terrori": 6836, + "terrorism": 10583, + "terrorist": 10575, + "terrorists": 12835, + "terry": 19378, + "terry": 8561, + "ters": 24102, + "ters": 1737, + "terti": 48386, + "tery": 4184, + "tes": 8019, + "tes": 3609, + "tesco": 15434, + "tese": 33320, + "tesla": 12254, + "tess": 21807, + "tess": 20840, + "tessa": 32063, + "test": 7738, + "test": 1628, + "testam": 23477, + "testament": 24609, + "tested": 10576, + "tester": 32707, + "testi": 18373, + "testic": 42364, + "testify": 33088, + "testifying": 46347, + "testim": 12553, + "testimonial": 28834, + "testimony": 18672, + "testing": 4967, + "testo": 42428, + "testosterone": 45168, + "tests": 8715, + "tet": 40468, + "tet": 13275, + "tetra": 40902, + "tetris": 45934, + "teu": 47152, + "teuk": 39979, + "teur": 27120, + "tex": 2056, + "tex": 11728, + "texan": 35287, + "texan": 38386, + "texans": 17580, + "texanscheer": 43717, + "texas": 15713, + "texas": 3403, + "texaste": 46469, + "text": 18169, + "text": 4160, + "textbook": 25952, + "textbooks": 44041, + "texted": 29004, + "textile": 19789, + "textiles": 24326, + "texting": 18600, + "texts": 12767, + "texture": 16505, + "textured": 32168, + "textures": 28063, + "tey": 32395, + "tez": 22664, + "tf": 18828, + "tf": 5001, + "tfc": 30186, + "tfl": 29918, + "tford": 22493, + "tful": 17108, + "tfw": 16741, + "tg": 7665, + "tg": 11981, + "tgif": 14483, + "th": 513, + "th": 640, + "tha": 18470, + "tha": 4715, + "thab": 38219, + "thad": 48339, + "thai": 28054, + "thai": 8825, + "thail": 7258, + "thailand": 7469, + "thak": 22801, + "thakur": 38427, + "thal": 7967, + "thal": 12323, + "thala": 17784, + "thalai": 25206, + "thalaivar": 44918, + "thalap": 39789, + "thalapathy": 45405, + "thalapathy": 23324, + "thall": 36007, + "tham": 11761, + "tham": 8896, + "thames": 43472, + "thames": 15321, + "than": 792, + "than": 1126, + "thand": 44465, + "thane": 21463, + "thang": 24870, + "thani": 31322, + "thank": 2790, + "thank": 1144, + "thanked": 32079, + "thankful": 38839, + "thankful": 6217, + "thankfully": 22089, + "thanking": 21989, + "thanks": 5672, + "thanks": 1085, + "thanksgiving": 45732, + "thanksgiving": 6167, + "thanku": 45710, + "thankyou": 18050, + "thankyou": 9911, + "thanniversary": 35564, + "thanos": 36709, + "thanx": 25095, + "thar": 14396, + "thar": 38843, + "thard": 43474, + "that": 6303, + "that": 682, + "thatcher": 32496, + "thats": 44636, + "thats": 9254, + "thaw": 26081, + "thaw": 47229, + "thbewithyou": 41067, + "thc": 20091, + "thcentury": 49111, + "thd": 28219, + "thday": 37801, + "the": 599, + "the": 518, + "thea": 15935, + "thea": 25429, + "thead": 25259, + "theal": 45728, + "thealth": 31398, + "thear": 43283, + "theart": 44678, + "theast": 8378, + "theastern": 17877, + "theat": 2263, + "theater": 39438, + "theater": 6128, + "theaters": 14689, + "theatre": 19857, + "theatre": 3292, + "theatres": 21680, + "theatrical": 26833, + "theband": 27695, + "thebeatles": 35645, + "thebest": 40883, + "thebest": 25856, + "thebig": 24732, + "theblack": 47718, + "thec": 48659, + "thed": 31405, + "thedaily": 33550, + "theday": 4408, + "thedream": 39417, + "thee": 44475, + "thee": 15108, + "theeconomist": 44518, + "theellenshow": 35342, + "thefilm": 31665, + "theflash": 25434, + "theforce": 40002, + "theforceawakens": 48033, + "theft": 13286, + "thefuture": 34287, + "thegame": 24428, + "thegood": 28594, + "thegreat": 28721, + "thei": 44522, + "their": 911, + "theirs": 29297, + "thel": 5403, + "thelast": 23495, + "thelastjedi": 47992, + "theless": 27712, + "theli": 15277, + "thelittle": 46872, + "thelo": 47036, + "thelove": 40668, + "thelove": 43200, + "them": 5435, + "them": 1180, + "themasters": 48378, + "theme": 38524, + "theme": 5849, + "themed": 10126, + "themes": 17849, + "themet": 48183, + "themovie": 27062, + "themselves": 6503, + "then": 5929, + "then": 1594, + "thenburg": 45209, + "thene": 17012, + "thenew": 24212, + "thenext": 47881, + "thenight": 43336, + "theno": 37172, + "thenorth": 34338, + "theo": 17043, + "theo": 18084, + "theod": 26653, + "theodore": 30743, + "theological": 41162, + "theology": 24095, + "theon": 34653, + "theone": 46231, + "theopen": 41438, + "theore": 22690, + "theoretical": 35585, + "theori": 34804, + "theories": 23937, + "theory": 7143, + "thepeople": 33597, + "thepersonal": 29981, + "thepersonalnetwork": 30016, + "thephoto": 18303, + "thephotohour": 18607, + "ther": 1160, + "ther": 743, + "therap": 4499, + "therapeu": 19332, + "therapeutic": 23240, + "therapeutics": 49101, + "therapies": 30179, + "therapist": 20608, + "therapists": 34763, + "therapper": 49340, + "therapy": 5257, + "there": 5283, + "there": 997, + "thereal": 8074, + "thereal": 41140, + "thereby": 43308, + "thered": 10208, + "therefore": 16865, + "theres": 18494, + "theresa": 14126, + "therese": 47996, + "theresistance": 22845, + "theri": 28967, + "theri": 45297, + "therine": 26807, + "therine": 9239, + "thering": 7891, + "therland": 25351, + "thermal": 13689, + "thermo": 22303, + "thermom": 31138, + "thermometer": 38172, + "thermost": 42391, + "thern": 10919, + "thern": 3137, + "thero": 13165, + "theroad": 29807, + "therock": 30036, + "theroy": 38146, + "thers": 1959, + "thes": 40556, + "thes": 6460, + "thescript": 47061, + "these": 40366, + "these": 1071, + "theses": 39388, + "thesimpsons": 45513, + "thesims": 34192, + "thesis": 10673, + "thessal": 41491, + "thessaloni": 41753, + "thest": 35343, + "thesun": 45617, + "theta": 27694, + "thetic": 7954, + "thetimes": 36039, + "thevamp": 33701, + "thevoice": 47206, + "thevoice": 30258, + "thewalkingdead": 18087, + "thewanted": 43008, + "theworld": 44988, + "theworld": 17475, + "thex": 35990, + "they": 15174, + "they": 889, + "theyre": 28266, + "thfc": 17729, + "thi": 2362, + "thi": 9111, + "thia": 17943, + "thiago": 44537, + "thian": 23214, + "thians": 28187, + "thibau": 48351, + "thic": 26107, + "thic": 11794, + "thick": 18417, + "thick": 11006, + "thicker": 43302, + "thickness": 40754, + "thief": 18508, + "thier": 25595, + "thierry": 32929, + "thieves": 17899, + "thigh": 47124, + "thigh": 22877, + "thighs": 30847, + "thik": 20512, + "thika": 44619, + "thill": 31266, + "thim": 42331, + "thin": 2178, + "thin": 7847, + "thine": 47192, + "thing": 7499, + "thing": 946, + "things": 30670, + "things": 1739, + "thingsto": 43924, + "thingy": 36888, + "think": 9820, + "think": 1331, + "thinkbig": 26015, + "thinkbigsundaywithmarsha": 26666, + "thinker": 34577, + "thinkers": 32779, + "thinkin": 34443, + "thinking": 3291, + "thinks": 6109, + "thinner": 47247, + "thir": 6030, + "third": 32102, + "third": 3981, + "thirds": 42582, + "thirst": 23563, + "thirsty": 39731, + "thirsty": 17521, + "thirteen": 34209, + "thirty": 20813, + "thiru": 43292, + "this": 4340, + "this": 589, + "thisday": 6532, + "thisdayin": 33641, + "thisdayinhistory": 46913, + "thisi": 7299, + "thisis": 14887, + "thismorning": 36245, + "thistle": 29039, + "thistory": 28904, + "thium": 21804, + "thletics": 17765, + "thm": 10407, + "thman": 30079, + "thms": 19874, + "thn": 44155, + "thn": 45587, + "thnx": 25480, + "tho": 1325, + "tho": 5025, + "thof": 18943, + "thofjuly": 21613, + "thol": 29319, + "thole": 31029, + "tholes": 42465, + "thology": 9881, + "thom": 2585, + "thom": 24094, + "thomas": 12574, + "thomas": 3888, + "thome": 21289, + "thomp": 37274, + "thompson": 42181, + "thompson": 8535, + "thomson": 24151, + "thon": 38776, + "thon": 8924, + "thong": 37058, + "thood": 15623, + "thor": 4130, + "thor": 13691, + "thora": 46866, + "thorn": 12957, + "thorn": 18466, + "thorne": 18025, + "thorns": 33650, + "thornton": 23592, + "thorough": 15294, + "thorough": 34788, + "thoroughbred": 43248, + "thoroughly": 19750, + "thorpe": 18099, + "thos": 41965, + "those": 1753, + "thot": 33736, + "thou": 1513, + "thou": 17781, + "though": 2846, + "thought": 23948, + "thought": 2449, + "thoughtful": 19592, + "thoughts": 3618, + "thour": 27125, + "thousand": 9344, + "thousands": 7089, + "thouse": 40318, + "thouse": 7819, + "thoven": 23078, + "thr": 1111, + "thr": 19138, + "thra": 17761, + "thra": 32797, + "thrash": 38262, + "thre": 1607, + "thread": 31108, + "thread": 8815, + "threads": 24957, + "threat": 7527, + "threat": 7212, + "threaten": 26097, + "threatened": 16391, + "threatening": 16400, + "threatens": 20555, + "threats": 12766, + "three": 21615, + "three": 2097, + "thren": 41776, + "thresh": 29779, + "threshold": 33791, + "threw": 12746, + "thri": 8713, + "thrift": 27779, + "thrill": 21023, + "thrilled": 7879, + "thriller": 9653, + "thrilling": 20101, + "thrills": 39829, + "thrive": 17669, + "thriving": 22677, + "thro": 2101, + "thro": 28624, + "throat": 16371, + "thrombo": 47585, + "throne": 15999, + "thrones": 8072, + "throp": 34939, + "throttle": 37139, + "through": 6091, + "through": 1417, + "throughout": 6721, + "throughs": 48278, + "throw": 3315, + "throw": 6293, + "throwback": 6001, + "throwback": 5058, + "throwbackthursday": 6326, + "thrower": 40199, + "throwing": 9734, + "thrown": 15079, + "throws": 14723, + "thru": 23856, + "thru": 6162, + "thrush": 46133, + "thrust": 40202, + "ths": 2079, + "tht": 23554, + "thu": 3837, + "thu": 14153, + "thub": 25660, + "thug": 37212, + "thug": 18137, + "thugs": 27686, + "thul": 28368, + "thulhu": 37560, + "thum": 14679, + "thumb": 19514, + "thumb": 18674, + "thumbnail": 32365, + "thumbs": 17599, + "thun": 32267, + "thunder": 6161, + "thunder": 8951, + "thunderbird": 45131, + "thunderbirds": 44286, + "thunderbolt": 43596, + "thunderstorm": 12005, + "thunderstorms": 19525, + "thunt": 46763, + "thur": 1837, + "thur": 21704, + "thurman": 41291, + "thurs": 9908, + "thursday": 11218, + "thursday": 2221, + "thursdaymotivation": 39375, + "thursdays": 21444, + "thursdaythoughts": 14866, + "thurst": 33970, + "thus": 12457, + "thusi": 9488, + "thwaite": 48469, + "thweeksary": 30871, + "thx": 5913, + "thy": 7804, + "thy": 3362, + "thyme": 29805, + "thyro": 25174, + "thyroid": 32558, + "ti": 555, + "ti": 2605, + "tia": 6709, + "tial": 2826, + "tially": 14503, + "tian": 23011, + "tian": 8125, + "tians": 35182, + "tiara": 38322, + "tib": 47868, + "tibet": 19927, + "tibet": 22234, + "tibetan": 24057, + "tible": 11453, + "tic": 890, + "tic": 1550, + "tica": 9669, + "tical": 34191, + "tical": 4342, + "tically": 13375, + "ticals": 30861, + "tice": 3122, + "tich": 48769, + "tician": 43358, + "ticism": 26491, + "tick": 24640, + "tick": 15617, + "ticket": 25740, + "ticket": 4500, + "ticketing": 44432, + "tickets": 2015, + "ticking": 35842, + "tickle": 42999, + "ticks": 40269, + "tico": 17670, + "ticon": 45996, + "tics": 2419, + "ticul": 15538, + "ticus": 44277, + "tid": 26002, + "tid": 23727, + "tidal": 21949, + "tide": 15698, + "tide": 9105, + "tides": 25524, + "tidy": 23858, + "tie": 14072, + "tie": 3422, + "tied": 9889, + "tiem": 34762, + "tien": 47538, + "tiene": 43438, + "tier": 14390, + "tier": 6598, + "tierney": 45693, + "tiers": 24604, + "ties": 25556, + "ties": 2499, + "tiest": 18300, + "tiesto": 46367, + "tif": 23216, + "tiff": 11112, + "tiff": 20699, + "tiffany": 30467, + "tiffany": 14446, + "tification": 43923, + "tified": 40854, + "tiful": 29123, + "tify": 6677, + "tig": 31999, + "tiger": 11954, + "tiger": 6531, + "tigers": 6934, + "tigh": 31365, + "tight": 25763, + "tight": 9123, + "tighten": 46653, + "tighter": 48193, + "tightly": 37568, + "tights": 29581, + "tijuana": 45273, + "tik": 24986, + "tik": 32403, + "tiki": 30107, + "til": 6124, + "til": 1763, + "tile": 26217, + "tile": 8227, + "tiles": 10607, + "tility": 38180, + "till": 17462, + "till": 4267, + "tilla": 26063, + "tillerson": 47738, + "tilly": 41199, + "tilt": 23601, + "tim": 1292, + "tim": 3863, + "timate": 4754, + "timb": 26627, + "timber": 14441, + "timber": 16246, + "timberlake": 28274, + "timbers": 39911, + "timberwolves": 41190, + "time": 3764, + "time": 788, + "timed": 32727, + "timehop": 19944, + "timel": 23549, + "timelapse": 48154, + "timeless": 15558, + "timeline": 11492, + "timely": 19250, + "timeout": 41536, + "timer": 19725, + "timers": 44574, + "times": 26445, + "times": 1661, + "timesnow": 45487, + "timesof": 32522, + "timesofindia": 44182, + "timetable": 31971, + "timeto": 29187, + "timing": 13624, + "timm": 22444, + "timmy": 33252, + "timo": 13390, + "timo": 33777, + "timothy": 42087, + "timothy": 18560, + "timp": 42166, + "tin": 1310, + "tin": 5420, + "tina": 9257, + "tinder": 24287, + "tine": 22341, + "ting": 7451, + "ting": 694, + "tinged": 44829, + "tings": 35332, + "tini": 26839, + "tink": 39278, + "tinker": 45272, + "tinker": 40910, + "tino": 20538, + "tins": 37359, + "tint": 40497, + "tinted": 42618, + "tiny": 21716, + "tiny": 5591, + "tio": 27562, + "tion": 2274, + "tion": 740, + "tional": 22460, + "tional": 2986, + "tionality": 24514, + "tionally": 12409, + "tionary": 8381, + "tione": 44318, + "tioned": 9083, + "tioning": 15528, + "tionist": 25732, + "tions": 1371, + "tious": 14255, + "tip": 15383, + "tip": 4623, + "tipoff": 44521, + "tipp": 32294, + "tipped": 31878, + "tipper": 38095, + "tipperary": 45612, + "tipping": 27827, + "tips": 3173, + "tipton": 48809, + "tiptuesday": 42112, + "tique": 37772, + "tir": 25467, + "tir": 38462, + "tire": 29128, + "tire": 9362, + "tired": 6533, + "tireless": 39835, + "tirelessly": 41548, + "tires": 15533, + "tiring": 42630, + "tiru": 36033, + "tis": 7839, + "tis": 7394, + "tise": 13745, + "tisgarh": 40538, + "tish": 45148, + "tish": 28784, + "tism": 27113, + "tiss": 28155, + "tissue": 15368, + "tissues": 32172, + "tist": 7902, + "tista": 25580, + "tists": 25944, + "tit": 1991, + "tit": 13202, + "tita": 40936, + "titan": 13496, + "titan": 15516, + "titanic": 20729, + "titanium": 24409, + "titans": 13066, + "titi": 17434, + "titi": 48504, + "title": 28033, + "title": 3644, + "titled": 9939, + "titles": 9780, + "tito": 26838, + "titus": 36102, + "tium": 21975, + "tiv": 1835, + "tiva": 41886, + "tive": 14640, + "tive": 1420, + "tively": 9883, + "tiveness": 20955, + "tives": 7570, + "tivity": 9859, + "tivo": 32162, + "tix": 5835, + "tiz": 19376, + "tj": 18890, + "tj": 18988, + "tk": 22344, + "tk": 20676, + "tko": 37347, + "tks": 38739, + "tl": 14325, + "tl": 8190, + "tland": 30697, + "tlap": 41976, + "tlc": 22047, + "tle": 39141, + "tle": 5825, + "tles": 39363, + "tless": 17427, + "tlot": 41080, + "tls": 47367, + "tly": 37483, + "tly": 1646, + "tm": 9430, + "tm": 7789, + "tman": 20796, + "tmc": 35263, + "tment": 26485, + "tml": 39445, + "tmltalk": 42260, + "tmnt": 32444, + "tmobile": 34901, + "tmr": 35906, + "tmrw": 16496, + "tms": 44496, + "tmund": 23801, + "tmw": 45827, + "tmz": 37248, + "tn": 3827, + "tn": 7248, + "tna": 21150, + "tnam": 8079, + "tner": 34922, + "tness": 35212, + "tney": 9523, + "tng": 35898, + "tnt": 20659, + "tnx": 38220, + "to": 580, + "to": 531, + "toa": 17916, + "toad": 26096, + "toast": 24654, + "toast": 10920, + "toasted": 23533, + "toaster": 39061, + "toasty": 44726, + "tob": 24260, + "tobac": 12611, + "tobacco": 13905, + "tobago": 39482, + "tobe": 17534, + "tobe": 28740, + "tober": 18162, + "tober": 2925, + "toberfest": 26249, + "tobi": 40335, + "tobi": 48374, + "tobias": 32464, + "tobin": 42466, + "toby": 29659, + "toby": 18333, + "toc": 41907, + "toc": 30643, + "tock": 25274, + "tod": 38239, + "tod": 33568, + "toda": 47141, + "todas": 36150, + "today": 11800, + "today": 721, + "todayin": 32957, + "todays": 13513, + "todayshow": 29739, + "todd": 10398, + "todd": 9951, + "toddler": 17772, + "toddlers": 36719, + "toddy": 38926, + "todo": 48857, + "todo": 23087, + "todos": 33355, + "toe": 47756, + "toe": 11344, + "toes": 16511, + "tof": 6659, + "toff": 27319, + "toffee": 34880, + "tofficial": 47953, + "tofthe": 23678, + "toftheday": 20566, + "tofu": 24692, + "tog": 45715, + "toge": 1903, + "together": 17858, + "together": 1952, + "togo": 26729, + "tography": 33968, + "toh": 26851, + "toi": 7472, + "toi": 26941, + "toid": 49124, + "toile": 43148, + "toilet": 11071, + "toilets": 24027, + "toire": 39534, + "tok": 16690, + "tok": 27010, + "token": 32634, + "token": 17134, + "tokens": 23562, + "tokyo": 35038, + "tokyo": 6667, + "tol": 4678, + "tol": 32962, + "told": 3527, + "tole": 15677, + "toledo": 19812, + "toler": 12150, + "tolerance": 20377, + "tolerant": 38536, + "tolerate": 35556, + "tolkien": 32989, + "toll": 44090, + "toll": 14155, + "tollywood": 42016, + "tology": 34799, + "tom": 999, + "tom": 2435, + "toma": 42360, + "toma": 44710, + "tomas": 35944, + "tomas": 27178, + "tomat": 12041, + "tomato": 9867, + "tomatoes": 13004, + "tomb": 37187, + "tomb": 15582, + "tombs": 48613, + "tombstone": 45729, + "tome": 24137, + "tome": 24283, + "tomi": 46290, + "tomlin": 46649, + "tomlinson": 17484, + "tommorow": 42871, + "tommy": 16573, + "tommy": 8876, + "tomo": 31223, + "tomo": 34434, + "tomor": 1277, + "tomorrow": 19728, + "tomorrow": 1293, + "tomorrowland": 34951, + "tomorrows": 32258, + "tomorrowspaper": 35005, + "tomorrowspaperstoday": 35190, + "tomp": 43544, + "tompkins": 49068, + "toms": 10545, + "tomy": 18730, + "ton": 838, + "ton": 917, + "tona": 13459, + "tone": 32366, + "tone": 8408, + "toned": 29426, + "toner": 40614, + "tones": 14744, + "tong": 21510, + "tonga": 37882, + "tongue": 44820, + "tongue": 13626, + "tongues": 39837, + "toni": 17766, + "toni": 17171, + "tonic": 17808, + "tonics": 34647, + "tonight": 1009, + "tonights": 23312, + "tonite": 13449, + "tonka": 42781, + "tonline": 45867, + "tonne": 42450, + "tonnes": 24813, + "tons": 7555, + "tony": 9150, + "tony": 4767, + "tonyawards": 46068, + "too": 1843, + "too": 1256, + "took": 2280, + "tool": 13718, + "tool": 5999, + "toolbox": 46599, + "toolkit": 29849, + "tools": 5771, + "toom": 27550, + "toon": 24664, + "toon": 19701, + "toonami": 48336, + "toons": 35345, + "toor": 42590, + "tooth": 15316, + "tooth": 12030, + "toothbrush": 36841, + "toothpaste": 37322, + "tooting": 42969, + "top": 5534, + "top": 1253, + "topaz": 46125, + "tope": 32149, + "tope": 42239, + "topeka": 46884, + "topia": 29618, + "topic": 8720, + "topical": 37464, + "topics": 11916, + "topless": 37415, + "topo": 23008, + "topoli": 30152, + "topp": 19529, + "topped": 12588, + "topper": 31780, + "toppers": 41651, + "topping": 21071, + "toppings": 47554, + "topps": 20201, + "tops": 8154, + "topshop": 40953, + "topus": 21495, + "tor": 937, + "tor": 1208, + "tora": 45147, + "torah": 37945, + "toral": 45282, + "torch": 31921, + "torch": 15820, + "tore": 38066, + "tore": 19385, + "tored": 38046, + "torg": 33214, + "tori": 17689, + "tori": 17539, + "toria": 23732, + "torial": 28029, + "torian": 48399, + "tories": 14193, + "torino": 29178, + "torio": 34235, + "torn": 8572, + "torn": 18023, + "tornad": 24676, + "tornado": 9062, + "tornadoes": 28254, + "toro": 17892, + "toron": 37407, + "toronto": 16866, + "toronto": 4514, + "torpe": 34093, + "torpedo": 46582, + "torquay": 45738, + "torque": 31940, + "torre": 39563, + "torre": 38009, + "torrent": 42317, + "torrential": 41158, + "torres": 16049, + "tors": 2546, + "tortilla": 32683, + "torto": 24170, + "tortoise": 30178, + "torture": 16013, + "tortured": 29900, + "tory": 29390, + "tory": 4214, + "tos": 6094, + "tosc": 37719, + "tose": 38154, + "tosh": 17109, + "toshi": 31744, + "toss": 19656, + "tossed": 31296, + "tot": 4618, + "tot": 23659, + "total": 13507, + "total": 4445, + "totally": 5440, + "totals": 25772, + "tote": 48145, + "tote": 19031, + "totem": 45376, + "totes": 37199, + "tothe": 12222, + "toto": 39823, + "tots": 24978, + "totten": 14360, + "tottenham": 14889, + "tou": 1879, + "tou": 29261, + "touch": 9480, + "touch": 4526, + "touchdown": 18664, + "touchdowns": 37905, + "touched": 13190, + "touches": 14832, + "touching": 14088, + "touchscreen": 39095, + "tough": 12063, + "tough": 5499, + "tougher": 33722, + "toughest": 23773, + "toughness": 45522, + "toulou": 27145, + "toulouse": 30267, + "tour": 2710, + "tour": 1760, + "tourde": 39247, + "toured": 27654, + "touri": 4224, + "touring": 11853, + "tourism": 23661, + "tourism": 6556, + "tourist": 12123, + "tourists": 15546, + "tournament": 4097, + "tournaments": 23058, + "tourney": 12603, + "tours": 8948, + "tous": 37424, + "tout": 22300, + "touts": 41274, + "tov": 28970, + "tow": 11557, + "tow": 18653, + "toward": 8508, + "towards": 4447, + "towed": 45419, + "towel": 15953, + "towels": 26578, + "tower": 26669, + "tower": 4730, + "towering": 39444, + "towers": 12701, + "towie": 44613, + "towin": 45819, + "towing": 36963, + "town": 4068, + "town": 1605, + "townfc": 33981, + "townhall": 33408, + "townhouse": 40178, + "towns": 14173, + "townsend": 26826, + "township": 14622, + "townsville": 47330, + "towork": 48233, + "tox": 7742, + "tox": 16145, + "toxic": 27436, + "toxic": 12348, + "toxicity": 41234, + "toxin": 48899, + "toxins": 36618, + "toy": 14387, + "toy": 5988, + "toya": 37602, + "toyo": 7644, + "toyota": 8908, + "toys": 39508, + "toys": 7162, + "tp": 23760, + "tp": 15188, + "tpp": 29411, + "tps": 35246, + "tq": 43066, + "tr": 635, + "tr": 6337, + "tra": 752, + "tra": 2483, + "trac": 2266, + "trace": 48611, + "trace": 14767, + "traced": 47956, + "traces": 30913, + "tracey": 25558, + "tracing": 27897, + "track": 10887, + "track": 2700, + "tracked": 27049, + "tracker": 18123, + "tracking": 10428, + "tracklist": 39777, + "tracks": 7579, + "tract": 4690, + "traction": 10644, + "tractor": 14607, + "tractors": 37854, + "tracy": 32984, + "tracy": 15508, + "trad": 48716, + "trad": 38037, + "trade": 10457, + "trade": 3629, + "traded": 18860, + "trademark": 25011, + "trader": 17700, + "traders": 19112, + "trades": 18519, + "trading": 40083, + "trading": 6520, + "tradio": 20689, + "tradition": 20838, + "tradition": 8784, + "traditional": 41113, + "traditional": 5604, + "traditionally": 35532, + "traditions": 18016, + "traf": 3227, + "trafal": 32461, + "trafalgar": 36969, + "traff": 31571, + "traffic": 12080, + "traffic": 3399, + "trafficking": 15983, + "trafford": 22912, + "trage": 12430, + "tragedy": 14082, + "tragic": 14828, + "tragically": 39599, + "trail": 11523, + "trail": 4921, + "trailblazer": 41015, + "trailblazers": 35954, + "trailer": 4700, + "trailers": 24862, + "trailing": 37427, + "trails": 10633, + "train": 9122, + "train": 3231, + "trained": 10874, + "trainee": 25795, + "trainees": 30382, + "trainer": 9767, + "trainers": 18871, + "training": 34508, + "training": 2199, + "trains": 9541, + "trait": 35160, + "traitor": 31760, + "traitors": 42633, + "traits": 25748, + "trajec": 42042, + "trak": 24065, + "tral": 14609, + "tram": 9800, + "tram": 17500, + "tramp": 46289, + "trampol": 32905, + "trampoline": 42800, + "tramrahim": 35220, + "tran": 1357, + "tran": 22031, + "trance": 30584, + "trance": 18671, + "trancefamily": 39630, + "trane": 35779, + "tranqu": 18912, + "tranquil": 35764, + "tranquility": 36688, + "trans": 1826, + "trans": 8126, + "transaction": 24881, + "transactions": 21653, + "transat": 37872, + "transatlantic": 40703, + "transc": 21073, + "transcend": 47087, + "transcript": 39008, + "transcription": 48765, + "transfer": 22659, + "transfer": 7134, + "transferred": 29700, + "transferring": 40924, + "transfers": 21621, + "transform": 8142, + "transform": 12288, + "transformation": 34204, + "transformation": 7832, + "transformational": 47135, + "transformationtuesday": 36511, + "transformative": 38106, + "transformed": 17453, + "transformer": 38235, + "transformers": 17843, + "transforming": 44470, + "transforming": 19251, + "transforms": 30312, + "transgender": 17732, + "transi": 32236, + "transit": 10174, + "transiti": 22939, + "transition": 11391, + "transitional": 41519, + "transitioning": 43586, + "transitions": 39374, + "transl": 12243, + "translate": 22655, + "translated": 20752, + "translates": 36334, + "translating": 42156, + "translation": 12153, + "translations": 41367, + "translator": 36230, + "translucent": 49052, + "transm": 18861, + "transmission": 16103, + "transmitted": 48605, + "transmitter": 40457, + "transp": 11726, + "transpa": 18524, + "transparen": 16108, + "transparency": 16828, + "transparent": 19017, + "transpl": 16038, + "transplant": 41871, + "transplant": 18771, + "transplantation": 45207, + "transpor": 19406, + "transport": 10231, + "transport": 7362, + "transportation": 10911, + "transported": 29089, + "transporter": 43568, + "transporting": 42259, + "trap": 36224, + "trap": 9677, + "trape": 42435, + "trapped": 15592, + "traps": 28517, + "tras": 30638, + "trash": 39215, + "trash": 9798, + "traum": 22263, + "trauma": 13846, + "traumati": 46613, + "traumatic": 29958, + "trav": 7586, + "trav": 46955, + "trave": 35357, + "travel": 2824, + "travel": 1949, + "travelblog": 35957, + "travelblogger": 25494, + "travelchat": 46455, + "traveled": 20384, + "traveler": 17794, + "travelers": 20644, + "travelgram": 40069, + "traveling": 9365, + "travelled": 23428, + "traveller": 22546, + "travellers": 29583, + "travelling": 11190, + "travelphotography": 22808, + "travelpics": 32293, + "travels": 11472, + "traveltips": 36260, + "traveltuesday": 16713, + "traverse": 35058, + "travi": 46971, + "travis": 27441, + "travis": 12287, + "traw": 42288, + "trax": 34421, + "tray": 38470, + "tray": 14621, + "trays": 39798, + "trc": 41803, + "tre": 975, + "tre": 6033, + "treach": 46005, + "tread": 26182, + "tread": 35658, + "treadmill": 37780, + "treas": 8591, + "treason": 28103, + "treasure": 9922, + "treasured": 48068, + "treasurer": 26985, + "treasures": 16500, + "treasury": 20956, + "treat": 3968, + "treat": 3901, + "treated": 9772, + "treating": 13842, + "treatment": 4869, + "treatments": 15839, + "treats": 8878, + "treaty": 19967, + "treble": 33194, + "trecht": 33812, + "tree": 13354, + "tree": 2677, + "treehouse": 42387, + "trees": 4682, + "trek": 13236, + "trek": 8136, + "trekking": 25293, + "trell": 35159, + "tremb": 44043, + "tremend": 14659, + "tremendous": 15988, + "tren": 2579, + "trench": 23846, + "trenches": 38723, + "trend": 19986, + "trend": 6643, + "trending": 6087, + "trends": 7015, + "trendsetter": 46666, + "trendy": 23072, + "trent": 45885, + "trent": 15548, + "trenton": 37470, + "tres": 23569, + "tress": 4733, + "tresses": 24273, + "trevor": 23437, + "trevor": 13219, + "trex": 42114, + "trey": 36670, + "trey": 16939, + "tri": 924, + "tri": 9618, + "triad": 45602, + "trial": 5991, + "trials": 10992, + "triangle": 14615, + "triathlon": 18080, + "trib": 45151, + "tribal": 16629, + "tribe": 19943, + "tribe": 11365, + "tribeca": 35184, + "tribes": 26546, + "tribu": 3028, + "tribun": 14311, + "tribunal": 32911, + "tribune": 18556, + "tribute": 5493, + "tributes": 15537, + "tric": 9511, + "tric": 4081, + "trich": 39519, + "trick": 17177, + "trick": 8172, + "tricks": 13177, + "tricky": 22319, + "trics": 31437, + "trident": 35491, + "tridge": 18722, + "tried": 4554, + "tries": 4315, + "trife": 48962, + "trigge": 30509, + "trigger": 16158, + "triggered": 30924, + "triggers": 37319, + "tright": 29915, + "tril": 40626, + "trill": 39297, + "trilli": 39350, + "trillion": 20160, + "trilo": 15183, + "trilogy": 16862, + "trim": 14182, + "trimmed": 40657, + "trin": 6628, + "trinidad": 26244, + "trinity": 30744, + "trinity": 12267, + "trio": 10263, + "trip": 23421, + "trip": 2529, + "tripad": 37189, + "tripadvisor": 38708, + "triple": 16519, + "triple": 7673, + "triplets": 48601, + "tripod": 36141, + "tripoli": 40095, + "trippin": 43073, + "tripping": 35229, + "trippy": 35137, + "trips": 12292, + "tris": 29690, + "trish": 40511, + "trish": 37179, + "trisha": 39152, + "tristan": 25497, + "trit": 37087, + "triton": 45437, + "triu": 14782, + "trium": 21065, + "triumph": 26507, + "triumph": 15307, + "triumphant": 41918, + "trivi": 21228, + "trivia": 10642, + "triviatuesday": 45499, + "trix": 41017, + "tro": 1046, + "tro": 3332, + "trock": 44368, + "trojan": 30653, + "trojans": 25310, + "trol": 10306, + "troll": 39737, + "troll": 17103, + "trolley": 25124, + "trolling": 28552, + "trolls": 20890, + "tromb": 32390, + "trombone": 44423, + "tron": 19057, + "tron": 10684, + "tronic": 34258, + "tronics": 34397, + "troom": 23691, + "troop": 12492, + "troop": 24054, + "trooper": 18327, + "troopers": 23576, + "troops": 10109, + "trop": 31585, + "trope": 41150, + "trophies": 20998, + "trophy": 42676, + "trophy": 6502, + "tropic": 21794, + "tropic": 36736, + "tropical": 41699, + "tropical": 8686, + "tropics": 36940, + "tros": 40456, + "trose": 36022, + "trot": 30453, + "trotter": 38287, + "trou": 5181, + "troubad": 49037, + "trouble": 25669, + "trouble": 7848, + "troubled": 25568, + "troubles": 27254, + "trough": 39761, + "troupe": 34803, + "trous": 19727, + "trousers": 23172, + "trout": 14853, + "trove": 45350, + "trow": 46914, + "troy": 26283, + "troy": 12819, + "trs": 24770, + "tru": 931, + "tru": 25326, + "truck": 14781, + "truck": 4629, + "trucker": 45918, + "truckers": 43404, + "trucking": 26208, + "trucks": 9569, + "trude": 39017, + "trudeau": 15752, + "true": 13096, + "true": 2328, + "truec": 37583, + "truelove": 45711, + "truffle": 23064, + "truffles": 37057, + "truly": 4545, + "trum": 11766, + "trum": 11399, + "truman": 29414, + "trump": 9124, + "trump": 1797, + "trumpet": 23681, + "trumpp": 45550, + "trumprussia": 39135, + "trumps": 29793, + "trumptrain": 43595, + "trun": 16163, + "trun": 46661, + "trunk": 18347, + "trunks": 38531, + "truro": 43507, + "truss": 46080, + "trust": 17691, + "trust": 3876, + "truste": 17356, + "trusted": 16538, + "trustee": 30803, + "trustees": 28853, + "trusting": 33221, + "trusts": 27507, + "trustworthy": 46840, + "trusty": 37955, + "truth": 21335, + "truth": 4319, + "truths": 27179, + "trx": 31620, + "try": 4487, + "try": 1209, + "tryin": 31085, + "trying": 2551, + "tryna": 15702, + "tryout": 43832, + "tryouts": 28053, + "ts": 2290, + "ts": 590, + "tsa": 25977, + "tsal": 20438, + "tsb": 45015, + "tsc": 37437, + "tsch": 38778, + "tsd": 20611, + "tse": 49144, + "tsfor": 42654, + "tsford": 32823, + "tsh": 42872, + "tshirt": 14907, + "tshirts": 29377, + "tsi": 40048, + "tsi": 37867, + "tsk": 43600, + "tsla": 35681, + "tsm": 43452, + "tsman": 20046, + "tsn": 44921, + "tsn": 26896, + "tson": 42353, + "tson": 47140, + "tsp": 34230, + "tsu": 13950, + "tsu": 20175, + "tsun": 19155, + "tsunami": 24286, + "tsville": 29080, + "tt": 971, + "tt": 1402, + "tta": 2646, + "ttc": 27668, + "tte": 23105, + "tte": 3070, + "tted": 15163, + "tten": 11351, + "tten": 17479, + "tter": 18691, + "tter": 5165, + "tters": 6318, + "ttes": 9293, + "tti": 5237, + "ttin": 36589, + "tting": 1188, + "ttino": 47389, + "ttip": 46993, + "ttle": 9253, + "ttm": 46838, + "tto": 8759, + "tto": 8105, + "tton": 10562, + "ttot": 12480, + "ttp": 30828, + "ttr": 47589, + "tts": 11570, + "ttt": 17256, + "tttt": 33119, + "ttu": 44006, + "ttv": 24281, + "tty": 11457, + "tty": 1856, + "tu": 764, + "tu": 5760, + "tua": 41344, + "tual": 4799, + "tuan": 37297, + "tub": 34907, + "tub": 15450, + "tube": 38229, + "tube": 3308, + "tuber": 30371, + "tuberculo": 42606, + "tuberculosis": 43129, + "tubes": 22870, + "tubing": 40794, + "tubs": 41705, + "tubular": 48786, + "tuc": 14456, + "tuc": 43871, + "tuck": 22398, + "tucked": 26923, + "tucker": 39703, + "tucker": 15726, + "tucket": 32677, + "tucson": 17250, + "tudor": 24547, + "tue": 17515, + "tues": 2283, + "tues": 12113, + "tuesday": 10209, + "tuesday": 2519, + "tuesdaymotivation": 25432, + "tuesdays": 23195, + "tuesdaythoughts": 17988, + "tuf": 44510, + "tuff": 38868, + "tug": 47032, + "tug": 27902, + "tuition": 21129, + "tuk": 39271, + "tuk": 14993, + "tul": 9069, + "tul": 40837, + "tula": 36332, + "tulane": 44893, + "tulip": 28389, + "tulips": 30886, + "tulsa": 18850, + "tum": 12932, + "tum": 8843, + "tumb": 8831, + "tumble": 38284, + "tumbler": 48790, + "tumbling": 46226, + "tumblr": 11841, + "tummy": 26053, + "tumor": 22616, + "tumors": 39894, + "tumour": 45129, + "tun": 1415, + "tun": 21349, + "tuna": 15037, + "tundra": 39899, + "tune": 11427, + "tune": 3300, + "tuned": 5898, + "tunein": 16809, + "tuner": 42905, + "tunes": 31688, + "tunes": 10810, + "tunesapp": 32550, + "tung": 47940, + "tung": 31092, + "tuni": 16270, + "tunic": 43495, + "tuning": 19585, + "tunisia": 23346, + "tunnel": 11096, + "tunnels": 29814, + "tuous": 28738, + "tup": 37956, + "tup": 4507, + "tupac": 31506, + "tups": 44855, + "tur": 985, + "tur": 17182, + "tura": 16127, + "tural": 45143, + "tural": 4261, + "turb": 18973, + "turban": 48515, + "turbine": 26880, + "turbines": 38863, + "turbo": 23578, + "turbo": 13668, + "turbul": 31100, + "turbulent": 47871, + "ture": 4321, + "ture": 941, + "tured": 3987, + "turer": 11993, + "turers": 16956, + "tures": 2400, + "turf": 36762, + "turf": 12510, + "turi": 11896, + "turin": 36251, + "turing": 5812, + "turismo": 30202, + "turk": 8254, + "turk": 32507, + "turkey": 35977, + "turkey": 4790, + "turkeys": 37991, + "turkish": 48199, + "turkish": 9278, + "turks": 34344, + "turmeric": 34044, + "turmoil": 37751, + "turn": 5522, + "turn": 2105, + "turnaround": 32719, + "turnbull": 27863, + "turned": 3771, + "turner": 42867, + "turner": 8777, + "turning": 4976, + "turno": 21377, + "turnout": 11654, + "turnover": 30794, + "turnpike": 38301, + "turns": 3185, + "turnt": 28887, + "turntable": 37953, + "turnup": 30591, + "turo": 29224, + "turquo": 19390, + "turquoise": 19899, + "turt": 13716, + "turtle": 35943, + "turtle": 10912, + "turtles": 17862, + "tus": 24828, + "tus": 7079, + "tusc": 17909, + "tuscal": 42638, + "tuscaloosa": 44375, + "tuscan": 42865, + "tuscany": 20885, + "tuss": 31741, + "tut": 35121, + "tutor": 10054, + "tutor": 27858, + "tutorial": 12857, + "tutorials": 30973, + "tutoring": 37532, + "tutti": 46880, + "tutu": 35845, + "tux": 28720, + "tux": 49186, + "tuxedo": 40173, + "tv": 3197, + "tv": 1583, + "tvc": 49190, + "tvd": 25889, + "tvmiaw": 38554, + "tvn": 44232, + "tvs": 27114, + "tvtime": 19947, + "tvxq": 43968, + "tw": 966, + "tw": 12842, + "twa": 46954, + "twain": 30689, + "twal": 48126, + "tware": 5707, + "twc": 41217, + "twd": 29440, + "twd": 19343, + "twdfamily": 38218, + "twe": 18365, + "tweak": 48870, + "tweaks": 42661, + "twee": 1330, + "tweed": 26904, + "tweeps": 14928, + "tweet": 11826, + "tweet": 1842, + "tweeta": 32024, + "tweetapicture": 40596, + "tweeted": 7841, + "tweeter": 32876, + "tweeters": 31713, + "tweeting": 8901, + "tweets": 3560, + "tweetyour": 45033, + "twel": 14476, + "twelf": 39443, + "twelfth": 44072, + "twell": 38722, + "twell": 30162, + "twelve": 19694, + "twent": 27027, + "twenti": 35167, + "twenty": 13016, + "twentyon": 39609, + "twentyonepilots": 40007, + "twer": 13923, + "twerk": 28506, + "twi": 5537, + "twice": 6970, + "twick": 34326, + "twickenham": 39619, + "twil": 12804, + "twili": 35754, + "twilight": 46366, + "twilight": 14512, + "twill": 43703, + "twin": 9342, + "twin": 6769, + "twine": 42775, + "twinkle": 36545, + "twinning": 30156, + "twinpeaks": 32042, + "twins": 8040, + "twist": 10589, + "twisted": 18233, + "twister": 45933, + "twists": 34149, + "twit": 1643, + "twit": 18704, + "twitart": 27709, + "twitch": 13251, + "twitch": 9153, + "twitter": 7546, + "twitter": 1989, + "twitterkurds": 32722, + "twitterstorians": 35389, + "two": 17211, + "two": 1237, + "twol": 31964, + "twood": 40404, + "twood": 13245, + "twp": 33283, + "twright": 46778, + "twt": 6825, + "twx": 26830, + "twy": 45861, + "tx": 6636, + "tx": 5200, + "txhsfb": 34757, + "txlege": 26995, + "txst": 40761, + "txt": 24595, + "txwx": 22995, + "ty": 1260, + "ty": 744, + "tya": 41273, + "tycoon": 36803, + "tye": 43097, + "tyfree": 41215, + "tyga": 41952, + "tying": 22559, + "tyl": 47537, + "tyler": 14787, + "tyler": 7058, + "tym": 45772, + "tyne": 27000, + "tyne": 29729, + "tyour": 16823, + "type": 15673, + "type": 3877, + "typed": 40753, + "typeface": 44969, + "types": 7543, + "typewriter": 42180, + "typho": 17486, + "typhoon": 21110, + "typic": 21648, + "typical": 9854, + "typically": 23175, + "typing": 20102, + "typo": 18831, + "typo": 29076, + "typography": 24332, + "tyr": 15590, + "tyran": 46921, + "tyranny": 35402, + "tyre": 38330, + "tyre": 16864, + "tyres": 21376, + "tyrone": 30226, + "tyson": 16616, + "tz": 7710, + "tz": 4983, + "tzer": 45267, + "tzky": 47127, + "tzman": 46032, + "tzu": 34354, + "té": 27208, + "té": 39694, + "u": 84, + "u": 340, + "ua": 34075, + "ua": 8441, + "uaap": 46753, + "uaap": 43774, + "uab": 35587, + "uae": 9752, + "ual": 1921, + "ually": 10767, + "uan": 33062, + "uas": 38339, + "uav": 30303, + "ub": 18430, + "ub": 13494, + "uba": 29768, + "ubc": 42479, + "ubc": 29455, + "ube": 30892, + "uber": 25896, + "uber": 10668, + "ubi": 26758, + "ubio": 32867, + "ubiquit": 48129, + "ubis": 28248, + "ubisoft": 32051, + "ubs": 43851, + "ubun": 28184, + "ubuntu": 30791, + "uc": 4903, + "uc": 12438, + "uca": 30942, + "ucc": 44844, + "ucc": 29138, + "ucci": 30746, + "uccino": 30409, + "ucd": 44746, + "ucd": 43514, + "ucf": 24414, + "uch": 19465, + "uch": 22394, + "uchi": 37473, + "uci": 46354, + "uci": 28925, + "uck": 34189, + "ucl": 12013, + "ucl": 13647, + "ucla": 37667, + "ucla": 17259, + "ucn": 49036, + "uconn": 30549, + "ud": 6560, + "ud": 5765, + "uda": 22800, + "udaipur": 49385, + "uddin": 43035, + "ude": 37016, + "ude": 35194, + "ue": 16696, + "ue": 1190, + "uefa": 19189, + "uel": 24231, + "uer": 45951, + "ues": 2526, + "uf": 17777, + "uf": 19230, + "ufc": 20396, + "ufc": 6490, + "uff": 45701, + "ufo": 19443, + "ufos": 48234, + "ug": 3754, + "ug": 16061, + "uga": 16056, + "ugand": 25965, + "uganda": 11125, + "ugandan": 44206, + "ugby": 30658, + "ugh": 39736, + "ugh": 12755, + "ugliest": 43543, + "ugly": 36070, + "ugly": 8159, + "ugu": 18144, + "uh": 17661, + "uh": 9219, + "uhc": 44974, + "uhh": 35938, + "uhhh": 45270, + "uhm": 35614, + "uhur": 29434, + "uhuru": 35690, + "ui": 17326, + "ui": 11458, + "uil": 29395, + "uit": 30696, + "uit": 47584, + "uj": 33266, + "uji": 39672, + "uk": 2294, + "uk": 1432, + "uka": 23294, + "uke": 48836, + "uke": 28577, + "uked": 48987, + "uki": 37435, + "uki": 9009, + "ukin": 34996, + "ukip": 20360, + "uklabour": 36902, + "ukmfg": 38764, + "uko": 33562, + "ukone": 24682, + "ukrain": 15468, + "ukraine": 7768, + "ukrainian": 16927, + "ukrunchat": 34481, + "uku": 29541, + "uku": 36082, + "ukulele": 39094, + "ul": 914, + "ul": 6625, + "ula": 34104, + "ula": 9506, + "ular": 4927, + "ulary": 21701, + "ulate": 20467, + "ulation": 32896, + "ule": 35616, + "ules": 26274, + "ulf": 49331, + "uli": 41841, + "uli": 22174, + "ull": 33254, + "ulla": 30577, + "ullah": 45310, + "ullivan": 45252, + "ulls": 37418, + "ulo": 46084, + "ulo": 36738, + "ulous": 42490, + "ulous": 4281, + "ulously": 20167, + "ulster": 29709, + "ulster": 24639, + "ult": 4380, + "ulti": 11925, + "ulties": 21884, + "ultimat": 16522, + "ultimate": 34684, + "ultimate": 5377, + "ultimatefan": 48372, + "ultimatefanlive": 48644, + "ultimately": 23023, + "ultr": 25636, + "ultra": 11398, + "ultra": 8118, + "ultram": 44519, + "ultrasound": 29717, + "ulture": 22272, + "ulty": 8036, + "ulu": 41815, + "ulu": 15659, + "ulum": 17235, + "uly": 33220, + "ulysses": 46114, + "um": 1622, + "um": 1008, + "uma": 29982, + "uma": 9256, + "uman": 27112, + "umar": 25656, + "umass": 39390, + "umatic": 45006, + "umb": 7493, + "umber": 19195, + "umbrel": 34773, + "umbrella": 17143, + "umbrellas": 42782, + "umbria": 39287, + "umc": 39491, + "umd": 42067, + "ume": 38480, + "umen": 42832, + "uments": 25924, + "umer": 23539, + "umes": 21403, + "umi": 48772, + "umi": 15458, + "umich": 41294, + "umin": 31542, + "umm": 26129, + "umm": 21215, + "ummer": 47628, + "ummm": 33665, + "umni": 31739, + "ump": 22224, + "umpire": 36214, + "ums": 8643, + "umu": 39788, + "un": 569, + "un": 2271, + "una": 6385, + "unable": 17793, + "unacceptable": 25234, + "unanim": 20800, + "unanimous": 33520, + "unanimously": 31798, + "unanswered": 43611, + "unarmed": 41541, + "unas": 41366, + "unavailable": 48430, + "unaware": 33347, + "unbeat": 37056, + "unbeatable": 40267, + "unbeaten": 19228, + "unbeliev": 11383, + "unbelievable": 13306, + "unbelievably": 33781, + "unborn": 37257, + "unboxing": 32866, + "unbreakable": 32956, + "unbroken": 49271, + "unc": 24921, + "unc": 15322, + "uncanny": 32556, + "uncertain": 30384, + "uncertainty": 23956, + "unch": 1527, + "unchanged": 34272, + "uncharted": 34560, + "unci": 25521, + "unciation": 34117, + "uncle": 31537, + "uncle": 8002, + "unclear": 32955, + "uncles": 45335, + "uncomfortable": 22470, + "uncommon": 34888, + "uncondition": 46561, + "unconditional": 31112, + "unconscious": 34791, + "unconstitutional": 43585, + "unconventional": 39440, + "uncover": 33031, + "uncovered": 28234, + "uncture": 38736, + "uncut": 41056, + "und": 9762, + "und": 9732, + "unda": 39932, + "undant": 25377, + "unday": 29338, + "unde": 45226, + "undead": 40105, + "undecided": 49368, + "undefeated": 15326, + "undeni": 38424, + "under": 1473, + "under": 1798, + "underage": 45669, + "underattack": 35075, + "undercover": 21595, + "underdog": 44266, + "undere": 21675, + "underestim": 23348, + "underestimate": 31794, + "undergo": 31545, + "undergoing": 26419, + "undergrad": 38331, + "undergraduate": 24320, + "underground": 9396, + "undering": 30826, + "underlying": 31812, + "undermine": 42839, + "underneath": 20857, + "underrated": 19494, + "unders": 20376, + "understand": 47582, + "understand": 4600, + "understanding": 7522, + "understands": 21607, + "understatement": 38296, + "understood": 17303, + "undertaker": 40144, + "undertaking": 49067, + "undertale": 48283, + "underthe": 41161, + "underwater": 14760, + "underway": 6273, + "underwear": 21154, + "underwood": 21474, + "underworld": 34760, + "undi": 23845, + "undisclosed": 39334, + "undo": 35454, + "undocumented": 35414, + "undoub": 38836, + "undoubtedly": 42204, + "undp": 26691, + "une": 4522, + "une": 10966, + "unearth": 32716, + "unearthed": 36632, + "unemp": 15139, + "unemployed": 32721, + "unemployment": 19350, + "unes": 6394, + "unesco": 16216, + "uneven": 43204, + "unex": 9484, + "unexpe": 10802, + "unexpec": 31829, + "unexpected": 12293, + "unexpectedly": 35622, + "unf": 29285, + "unfair": 22193, + "unfinished": 26526, + "unfit": 45367, + "unfold": 38681, + "unfollow": 38797, + "unfor": 14010, + "unforgettable": 16173, + "unfortun": 10194, + "unfortunate": 22361, + "unfortunately": 12863, + "unfpa": 45048, + "ung": 10439, + "ung": 4334, + "unga": 19151, + "ungsoo": 25582, + "unh": 25365, + "unhappy": 26528, + "unhcr": 43451, + "unhealthy": 30994, + "uni": 1107, + "uni": 5926, + "unic": 7648, + "unicef": 38286, + "unicef": 19259, + "unicorn": 15660, + "unicorns": 35183, + "unidenti": 33707, + "unidentified": 35563, + "unification": 45036, + "unified": 20876, + "uniform": 11075, + "uniforms": 17838, + "unil": 32388, + "unilever": 48654, + "uniof": 21218, + "union": 14210, + "union": 3503, + "unions": 18353, + "unis": 30482, + "unis": 39266, + "unisex": 27609, + "unison": 46694, + "unit": 28522, + "unit": 5695, + "unite": 15078, + "unite": 11305, + "uniteblue": 20935, + "united": 10898, + "united": 2690, + "unitedstates": 39636, + "unitedway": 47486, + "unites": 32061, + "uniting": 31318, + "units": 10394, + "unity": 38300, + "unity": 8581, + "univ": 36680, + "univ": 14896, + "univer": 15574, + "univers": 5855, + "universal": 19148, + "universal": 8754, + "universe": 6104, + "universi": 41692, + "universit": 26019, + "universities": 16408, + "university": 40728, + "university": 2182, + "universityof": 46158, + "unk": 5542, + "unknown": 8685, + "unl": 43807, + "unlawful": 42305, + "unle": 19677, + "unlea": 23893, + "unleash": 26706, + "unleashed": 27955, + "unless": 10602, + "unlike": 16694, + "unlikely": 18904, + "unlimited": 11015, + "unlock": 18649, + "unlocked": 16770, + "unlocking": 40810, + "unlucky": 35029, + "unlv": 42283, + "unmanned": 36751, + "unmatched": 46054, + "unn": 38364, + "unnamed": 44985, + "unnecessary": 24100, + "unner": 31481, + "unning": 43282, + "unnoticed": 42807, + "uno": 32446, + "uno": 17078, + "unofficial": 22506, + "unpacking": 43589, + "unpaid": 32811, + "unparalleled": 44396, + "unplugged": 31724, + "unpopular": 40232, + "unprece": 23054, + "unprecedented": 23344, + "unpredictable": 38684, + "unra": 45150, + "unreal": 46980, + "unreal": 15636, + "unrelated": 38644, + "unreleased": 29654, + "unrest": 36452, + "uns": 25908, + "unsafe": 32071, + "unsc": 36395, + "unseen": 19069, + "unsigned": 39346, + "unsolved": 40836, + "unsplash": 46196, + "unstable": 34730, + "unstopp": 22105, + "unstoppable": 23484, + "unsuccessful": 47478, + "unsung": 33015, + "unsure": 26396, + "unt": 19654, + "unt": 6537, + "until": 1942, + "untitled": 21309, + "unto": 19801, + "untold": 32206, + "untouch": 44509, + "untouched": 42764, + "unused": 29636, + "unusual": 12613, + "unusually": 36465, + "unve": 6685, + "unveil": 20483, + "unveiled": 13572, + "unveiling": 20327, + "unveils": 15057, + "unwanted": 25285, + "unwind": 34064, + "unya": 37142, + "uo": 30874, + "uo": 36162, + "uof": 11155, + "uoft": 37329, + "uon": 48144, + "uous": 40185, + "up": 1083, + "up": 705, + "upa": 31727, + "upbeat": 39201, + "upcoming": 4196, + "upcycled": 46552, + "upd": 3226, + "update": 2491, + "updated": 5974, + "updates": 4904, + "updating": 22792, + "uper": 38082, + "uper": 33056, + "upfront": 42064, + "upgrade": 10365, + "upgraded": 18577, + "upgrades": 21253, + "upgrading": 34368, + "uph": 14128, + "uphill": 42767, + "uphol": 26195, + "uphold": 43897, + "upholstery": 44556, + "upl": 41939, + "uplift": 45389, + "uplifting": 29546, + "upload": 13968, + "uploaded": 16793, + "uploading": 30145, + "upon": 23524, + "upon": 5067, + "upp": 19549, + "upp": 45946, + "upper": 22465, + "upper": 7067, + "upri": 15982, + "upright": 29818, + "uprising": 26006, + "upro": 28922, + "ups": 6926, + "upscale": 47501, + "upset": 11214, + "upsets": 42637, + "upside": 15362, + "upstairs": 21387, + "upstate": 33335, + "upstream": 45517, + "upthe": 31510, + "upto": 26575, + "upton": 31910, + "uptown": 23807, + "upward": 32526, + "upwards": 34915, + "uq": 39591, + "ur": 565, + "ur": 1775, + "ura": 29337, + "ura": 3544, + "urable": 40194, + "ural": 23547, + "ural": 33948, + "uran": 16197, + "uranium": 29850, + "urban": 7931, + "urban": 5800, + "urbanart": 40834, + "urd": 47880, + "urday": 19742, + "urdu": 29976, + "ure": 5514, + "ure": 726, + "ured": 4210, + "urer": 20864, + "ures": 2288, + "urg": 35995, + "urge": 14852, + "urged": 23790, + "urgency": 47612, + "urgent": 13693, + "urgently": 34534, + "urges": 16692, + "urging": 27748, + "uri": 11052, + "uri": 8699, + "urie": 46429, + "urin": 45245, + "urine": 28864, + "uring": 1351, + "url": 23464, + "urn": 38075, + "uro": 17343, + "uro": 5925, + "urology": 48585, + "urope": 14918, + "urs": 4794, + "urself": 31942, + "urst": 19181, + "urstruly": 34751, + "urstrulymahesh": 35314, + "ursula": 38390, + "urt": 24309, + "uru": 16322, + "uru": 11768, + "uruguay": 27931, + "urus": 14246, + "urve": 24583, + "ury": 8642, + "ury": 2106, + "us": 904, + "us": 718, + "usa": 9491, + "usa": 2547, + "usability": 46736, + "usable": 22890, + "usaf": 25017, + "usage": 19137, + "usaid": 34507, + "usair": 36742, + "usairforce": 42179, + "usarmy": 19132, + "usatoday": 40263, + "usav": 36056, + "usb": 10281, + "usc": 13346, + "usc": 14995, + "uscg": 43932, + "usd": 7485, + "usda": 25829, + "use": 4419, + "use": 1483, + "used": 32289, + "used": 2026, + "useful": 9784, + "useless": 20154, + "usemb": 39700, + "user": 21248, + "user": 7031, + "username": 28162, + "users": 7433, + "uses": 5282, + "useum": 45189, + "usf": 32385, + "usf": 28942, + "usgs": 35103, + "ush": 12001, + "ush": 18335, + "usher": 27411, + "ushi": 47734, + "usi": 25540, + "usic": 34909, + "usic": 16753, + "using": 1996, + "usky": 45778, + "usl": 42113, + "usm": 40041, + "usmc": 21678, + "usmnt": 30662, + "usn": 40579, + "usnavy": 24500, + "usnews": 43752, + "uso": 21539, + "usopen": 21782, + "usp": 26651, + "usps": 39980, + "usrc": 33274, + "uss": 11545, + "uss": 9260, + "ussia": 29553, + "ussoccer": 42828, + "ussr": 32697, + "ust": 35501, + "ust": 24725, + "usu": 4254, + "usu": 40434, + "usual": 6129, + "usually": 8296, + "usur": 45582, + "uswnt": 35255, + "ut": 1419, + "ut": 3641, + "uta": 42706, + "uta": 25925, + "utah": 27474, + "utah": 9312, + "utc": 18196, + "utd": 10493, + "ute": 16856, + "ute": 3130, + "uten": 32089, + "uter": 39197, + "utes": 2850, + "uth": 48819, + "uth": 44750, + "uti": 24568, + "util": 28824, + "utili": 17015, + "utilities": 27210, + "utility": 14941, + "utilize": 36861, + "utilized": 47604, + "utilizing": 40212, + "utm": 47853, + "utmost": 42352, + "uto": 18866, + "uto": 13683, + "utopia": 34433, + "utpol": 42605, + "utr": 48726, + "utrecht": 37216, + "uts": 11740, + "utsa": 37528, + "utt": 17096, + "uttar": 40168, + "uttarak": 33755, + "uttarakhand": 35655, + "utter": 18769, + "utter": 24558, + "utterly": 21353, + "utto": 42183, + "utv": 36351, + "utz": 45320, + "uu": 5702, + "uu": 14553, + "uuu": 44355, + "uuu": 27656, + "uuuu": 16720, + "uuuu": 40797, + "uv": 23777, + "uv": 15977, + "uva": 23908, + "uw": 13933, + "uw": 19166, + "uwe": 48785, + "uwu": 35544, + "ux": 9251, + "ux": 6213, + "uy": 31929, + "uy": 48113, + "uz": 19398, + "uz": 36991, + "uzbe": 43007, + "uzbekistan": 45024, + "uzzi": 48210, + "v": 85, + "v": 341, + "va": 4648, + "va": 1892, + "vaa": 37488, + "vable": 23088, + "vac": 3125, + "vac": 34085, + "vaca": 48215, + "vacancies": 26333, + "vacancy": 21247, + "vacant": 25262, + "vacation": 28336, + "vacation": 6561, + "vacations": 29002, + "vacay": 44716, + "vacc": 13342, + "vaccin": 19164, + "vaccinated": 48134, + "vaccination": 32518, + "vaccine": 47780, + "vaccine": 17493, + "vaccines": 25860, + "vach": 46211, + "vacu": 16058, + "vacuum": 18420, + "vad": 11880, + "vada": 46759, + "vader": 21908, + "vae": 39384, + "vag": 13015, + "vague": 42154, + "vah": 26921, + "vai": 26893, + "vai": 36802, + "vail": 21189, + "vain": 25538, + "vais": 28719, + "vaj": 34206, + "vak": 16288, + "vak": 41597, + "val": 1214, + "val": 1560, + "vala": 48525, + "valdez": 40617, + "vale": 35554, + "vale": 10820, + "valedic": 43525, + "valen": 12630, + "valence": 30225, + "valenci": 34183, + "valencia": 16559, + "valent": 3655, + "valent": 15300, + "valentin": 48631, + "valentina": 43741, + "valentine": 11208, + "valentine": 5876, + "valentines": 10259, + "valentinesday": 12369, + "valentino": 29624, + "valeri": 31951, + "valerie": 25592, + "valet": 45749, + "vali": 8230, + "valiant": 33804, + "valid": 15126, + "validation": 32536, + "valkyrie": 42326, + "vall": 23523, + "vall": 35295, + "vallarta": 47874, + "valle": 24857, + "valle": 29105, + "valley": 18354, + "valley": 3136, + "valleys": 28649, + "valor": 30930, + "vals": 7431, + "valu": 6291, + "valuable": 10056, + "valuation": 25894, + "value": 41358, + "value": 4602, + "valued": 17801, + "values": 8857, + "valve": 17001, + "valves": 33517, + "vam": 9983, + "vamo": 46718, + "vamos": 30346, + "vamp": 10680, + "vampi": 47017, + "vampire": 47576, + "vampire": 13220, + "vampires": 30868, + "vamps": 44810, + "van": 2446, + "van": 2451, + "vana": 20543, + "vanc": 6320, + "vance": 31447, + "vancou": 6750, + "vancouver": 31904, + "vancouver": 7208, + "vand": 11691, + "vandalism": 45664, + "vander": 16264, + "vanderbilt": 33524, + "vandy": 39268, + "vane": 43828, + "vaness": 13328, + "vanessa": 16836, + "vangogh": 47849, + "vanguard": 27916, + "vani": 15396, + "vani": 26459, + "vania": 10998, + "vanilla": 11974, + "vanished": 43783, + "vanishing": 48296, + "vanity": 48353, + "vanity": 22938, + "vans": 11711, + "vant": 26298, + "vantage": 31749, + "vanu": 42892, + "vanuatu": 48766, + "vap": 10462, + "vape": 25423, + "vape": 20219, + "vaping": 29403, + "vapor": 37167, + "vapor": 30729, + "vapori": 46183, + "var": 3187, + "var": 12998, + "vara": 47492, + "varan": 36585, + "varanasi": 39364, + "vard": 21866, + "vard": 8773, + "vardy": 47371, + "vare": 38159, + "vares": 42895, + "vargas": 32752, + "vari": 3354, + "variable": 26416, + "varian": 34334, + "variant": 20293, + "variants": 38312, + "variation": 26420, + "variations": 29025, + "varied": 32334, + "varies": 32543, + "varieties": 23805, + "variety": 8396, + "various": 7395, + "varsity": 43716, + "varsity": 8574, + "varun": 48120, + "varun": 22069, + "vary": 18855, + "varying": 36456, + "vas": 5669, + "vas": 5995, + "vasc": 40995, + "vascular": 19218, + "vase": 20431, + "vasi": 49092, + "vast": 24413, + "vast": 16414, + "vastly": 48257, + "vat": 11588, + "vat": 18363, + "vatican": 21030, + "vation": 37884, + "vau": 6391, + "vaugh": 25158, + "vaughan": 21392, + "vaughn": 29013, + "vaul": 27469, + "vault": 15240, + "vaus": 40217, + "vaux": 27403, + "vauxhall": 29173, + "vaw": 47952, + "vay": 48000, + "vaz": 38142, + "vb": 29365, + "vb": 8778, + "vball": 38329, + "vc": 28670, + "vc": 7952, + "vcs": 43528, + "vcu": 40102, + "vd": 9515, + "vday": 42055, + "ve": 673, + "ve": 563, + "vea": 43798, + "veal": 36616, + "veau": 24419, + "vec": 19912, + "vector": 40453, + "vector": 21533, + "ved": 19515, + "ved": 1102, + "veda": 44401, + "vedere": 45660, + "vedi": 47971, + "vee": 35708, + "vee": 17073, + "veen": 22432, + "veer": 21243, + "veer": 22058, + "veg": 9048, + "veg": 16460, + "vega": 22930, + "vegan": 15705, + "vegan": 5615, + "vegans": 48514, + "vegas": 20288, + "vegas": 4413, + "vege": 6219, + "vegetable": 15725, + "vegetables": 14119, + "vegetarian": 14600, + "vegetation": 33947, + "veggie": 19401, + "veggies": 16767, + "vehic": 3973, + "vehicle": 5299, + "vehicles": 8361, + "veil": 23516, + "vein": 29169, + "veins": 28867, + "veit": 30620, + "vel": 942, + "vel": 1287, + "vela": 34898, + "veld": 34011, + "veled": 15370, + "veli": 49166, + "veling": 37970, + "vell": 21173, + "vell": 32997, + "velo": 14357, + "velo": 33850, + "velocity": 23811, + "vels": 5109, + "velve": 37849, + "velvet": 11063, + "vely": 1708, + "vember": 3477, + "vement": 3129, + "vements": 11104, + "ven": 1240, + "ven": 1638, + "vena": 47442, + "vend": 10851, + "vending": 29202, + "vendor": 21261, + "vendors": 20353, + "vene": 5365, + "veness": 10516, + "venetian": 34336, + "venezia": 34139, + "venezu": 10939, + "venezuela": 12839, + "venezuelan": 34699, + "veng": 31526, + "venge": 27757, + "vengeance": 32057, + "veni": 31142, + "venice": 11010, + "vening": 47532, + "venison": 40037, + "venom": 42491, + "venom": 21588, + "vens": 20884, + "vent": 4373, + "vent": 5687, + "ventil": 39522, + "ventilation": 35066, + "venting": 15731, + "vention": 4122, + "vents": 12833, + "ventu": 48217, + "ventura": 20921, + "venture": 37046, + "venture": 12543, + "ventures": 20829, + "venue": 5097, + "venues": 18120, + "venus": 14691, + "ver": 624, + "ver": 667, + "vera": 13350, + "verage": 3725, + "verb": 34952, + "verbal": 26522, + "verbally": 39985, + "verbs": 45687, + "verde": 16935, + "verdi": 42306, + "verdict": 18030, + "vere": 11135, + "vere": 34707, + "vered": 2868, + "verge": 23913, + "veri": 11638, + "verification": 33521, + "verified": 22555, + "verify": 34722, + "vering": 4630, + "veriz": 19707, + "verizon": 21532, + "verma": 41261, + "vermont": 19241, + "vern": 2214, + "vern": 12586, + "verne": 45553, + "vernon": 18348, + "vero": 45217, + "vero": 38208, + "verona": 31819, + "veronic": 39551, + "veronica": 24039, + "vers": 1219, + "vers": 2094, + "versa": 35765, + "versace": 25422, + "versail": 29857, + "versailles": 32129, + "versary": 2940, + "versatile": 18110, + "versatility": 41340, + "verse": 39466, + "verse": 3131, + "verses": 30769, + "versi": 8934, + "version": 3273, + "versions": 16190, + "versity": 1906, + "verst": 42484, + "verstappen": 45064, + "versus": 14548, + "versy": 18522, + "vert": 11742, + "verte": 35158, + "verted": 48173, + "verti": 30459, + "vertical": 14293, + "vertigo": 42477, + "verton": 40632, + "verts": 37265, + "very": 11698, + "very": 1070, + "veryday": 37944, + "verything": 45174, + "ves": 9616, + "ves": 1003, + "vesmatter": 47636, + "vespa": 46029, + "vessel": 16387, + "vessels": 22822, + "vest": 31657, + "vest": 12473, + "vesti": 40349, + "vests": 41906, + "vet": 12294, + "vet": 5951, + "veter": 4330, + "veteran": 20797, + "veteran": 8814, + "veterans": 7092, + "veteransday": 26409, + "veterin": 43959, + "veterinary": 25458, + "veto": 36570, + "vets": 13113, + "vette": 17045, + "vettel": 28700, + "vevo": 35141, + "vex": 36187, + "vex": 43978, + "vey": 34792, + "vey": 3884, + "vez": 35987, + "vez": 17226, + "vf": 25966, + "vfl": 33726, + "vfx": 30149, + "vg": 40591, + "vg": 22346, + "vh": 46953, + "vh": 23847, + "vhs": 21932, + "vi": 603, + "vi": 4259, + "via": 1048, + "viable": 25752, + "viadu": 37012, + "viaduct": 39113, + "vial": 39951, + "vian": 40487, + "vian": 16124, + "vibe": 37974, + "vibe": 12813, + "vibes": 7764, + "vibr": 9527, + "vibrant": 14270, + "vibration": 37456, + "vibrations": 43660, + "vic": 1555, + "vic": 4412, + "vica": 46168, + "vicar": 43899, + "vice": 43572, + "vice": 6931, + "vicente": 39411, + "vices": 8332, + "vich": 24143, + "vici": 46670, + "vicious": 25177, + "vick": 15116, + "vick": 29704, + "vickers": 48452, + "vicki": 34927, + "vicky": 37176, + "vicky": 25788, + "victi": 6861, + "victim": 9133, + "victims": 7131, + "victor": 2423, + "victor": 10690, + "victori": 17555, + "victoria": 39286, + "victoria": 6127, + "victorian": 12350, + "victorias": 47791, + "victories": 24577, + "victorious": 24033, + "victory": 36668, + "victory": 4127, + "vid": 17233, + "vid": 9284, + "vida": 19015, + "vidal": 36678, + "vide": 1334, + "vide": 45244, + "video": 9478, + "video": 1455, + "videogame": 35097, + "videogames": 21149, + "videos": 6081, + "vids": 23035, + "vidy": 29639, + "vidya": 45264, + "vie": 922, + "vie": 8538, + "vien": 36493, + "vienna": 12670, + "vier": 15352, + "vier": 11987, + "viera": 21114, + "viernes": 33826, + "vies": 22458, + "viest": 31979, + "viet": 17558, + "viet": 13128, + "vietnam": 19558, + "vietnam": 8623, + "vietnamese": 22382, + "view": 12004, + "view": 1093, + "viewed": 7226, + "viewer": 15061, + "viewers": 14275, + "viewing": 7124, + "viewpoint": 41604, + "views": 2758, + "vig": 8549, + "vig": 45083, + "vigil": 21538, + "vigil": 19896, + "vigilant": 43026, + "vigne": 40447, + "vigne": 34581, + "vigo": 44097, + "vigor": 26781, + "vii": 17759, + "viii": 20414, + "vijay": 12014, + "vijay": 10823, + "vijaysethu": 47966, + "vik": 10764, + "vik": 17181, + "vika": 39562, + "vikas": 37116, + "viking": 26663, + "viking": 15897, + "vikings": 11713, + "vikram": 41136, + "vikram": 24314, + "viktor": 36101, + "vil": 1338, + "vil": 3000, + "vila": 37505, + "vile": 27247, + "vill": 10481, + "vill": 45698, + "villa": 3203, + "villa": 7754, + "village": 34584, + "village": 4331, + "villagers": 34283, + "villages": 17621, + "villain": 15425, + "villains": 25271, + "villanova": 44025, + "villar": 35164, + "villas": 28907, + "ville": 11110, + "ville": 1930, + "villen": 46177, + "villi": 36907, + "vimeo": 48720, + "vin": 1379, + "vin": 2558, + "vina": 35682, + "vinai": 37396, + "vinaigrette": 39876, + "vinay": 43952, + "vince": 32429, + "vince": 6236, + "vincen": 33402, + "vincent": 29069, + "vincent": 10357, + "vinci": 30199, + "vind": 20275, + "vindic": 39582, + "vine": 8471, + "vine": 7721, + "vinegar": 23834, + "vines": 21268, + "vineyard": 16527, + "vineyards": 23082, + "ving": 5375, + "ving": 903, + "vingne": 42579, + "vings": 22510, + "vini": 48119, + "vinnie": 40885, + "vinny": 36794, + "vino": 14509, + "vinod": 43348, + "vins": 34820, + "vinson": 45945, + "vintag": 10936, + "vintage": 13654, + "vintage": 3266, + "viny": 40990, + "vinyl": 22835, + "vinyl": 5754, + "vio": 11913, + "vio": 20324, + "viol": 3164, + "viola": 27438, + "violate": 44875, + "violated": 38192, + "violating": 37554, + "violation": 22919, + "violations": 21969, + "violence": 5450, + "violent": 11565, + "violently": 47758, + "violet": 16118, + "violets": 42861, + "violin": 17058, + "violinist": 36299, + "vion": 35496, + "vious": 6418, + "viously": 7149, + "vip": 45714, + "vip": 7111, + "viper": 27401, + "vips": 41149, + "vir": 1790, + "vir": 25319, + "vira": 35910, + "viral": 11653, + "virat": 32473, + "virgil": 39076, + "virgin": 5651, + "virgin": 12103, + "virgini": 43426, + "virginia": 6728, + "virgo": 39978, + "viro": 32301, + "viron": 38309, + "virtu": 7977, + "virtual": 18059, + "virtual": 7790, + "virtually": 22475, + "virtualreality": 32608, + "virtue": 26860, + "virtues": 42167, + "virtuoso": 47027, + "virus": 11808, + "viruses": 34830, + "vis": 1301, + "vis": 5337, + "visa": 12802, + "visas": 41228, + "vise": 24977, + "vised": 14810, + "vish": 12024, + "vish": 29124, + "vishal": 33648, + "vishnu": 37816, + "visi": 1409, + "visibility": 15921, + "visible": 36658, + "visible": 8626, + "vising": 37439, + "vision": 11147, + "vision": 2515, + "visional": 24627, + "visionary": 22959, + "visions": 13804, + "visit": 3388, + "visit": 1600, + "visitation": 44370, + "visited": 5580, + "visiting": 4680, + "visitor": 13881, + "visitors": 9160, + "visits": 8489, + "visitscotland": 28760, + "visitspain": 48860, + "vism": 15514, + "viso": 46732, + "visor": 24217, + "vist": 21436, + "vista": 13865, + "visu": 7739, + "visual": 17004, + "visual": 7195, + "visualization": 28500, + "visualize": 45057, + "visually": 25743, + "visuals": 21315, + "viswas": 36513, + "viswasam": 47664, + "vit": 4056, + "vit": 35580, + "vita": 15700, + "vital": 32525, + "vital": 10585, + "vitality": 36385, + "vitam": 9856, + "vitamin": 13675, + "vitamins": 22582, + "vito": 36725, + "vity": 4893, + "vitz": 26188, + "vius": 41571, + "viv": 21827, + "viv": 35363, + "viva": 17399, + "vival": 35920, + "vive": 18980, + "vive": 24004, + "vivek": 36243, + "vivi": 11625, + "vivian": 30129, + "vivid": 22984, + "vivo": 28091, + "vivo": 25888, + "vix": 28976, + "vix": 34811, + "vixen": 38757, + "vixx": 32106, + "viz": 28251, + "viz": 31786, + "vj": 45439, + "vj": 30827, + "vk": 41893, + "vl": 37580, + "vl": 36442, + "vla": 23686, + "vlad": 41089, + "vladi": 19320, + "vladimir": 21702, + "vlive": 46797, + "vlog": 18894, + "vm": 16204, + "vm": 20269, + "vma": 35666, + "vmas": 30236, + "vmware": 29615, + "vn": 47098, + "vn": 25076, + "vo": 947, + "vo": 3951, + "voc": 4105, + "voc": 20855, + "vocab": 21346, + "vocabulary": 23804, + "vocal": 34037, + "vocal": 13147, + "vocali": 19134, + "vocalist": 22102, + "vocals": 17666, + "vocation": 20521, + "vocational": 33751, + "vod": 11820, + "vod": 35854, + "vodaf": 28436, + "vodafone": 38695, + "vodka": 13646, + "vogel": 44960, + "vogue": 24418, + "vogue": 13178, + "voic": 29185, + "voice": 13179, + "voice": 3386, + "voiced": 34352, + "voiceof": 44966, + "voiceover": 41979, + "voices": 9144, + "void": 21561, + "voip": 42762, + "voir": 16036, + "vol": 1343, + "vol": 7945, + "volatile": 41022, + "volatility": 32355, + "volcan": 9916, + "volcanic": 24072, + "volcano": 14581, + "volcanoes": 38055, + "voli": 40138, + "volk": 13432, + "volkswag": 14407, + "volkswagen": 15342, + "volley": 7130, + "volley": 34656, + "volleyball": 7458, + "volo": 44791, + "vols": 20404, + "volt": 26430, + "volta": 29879, + "volta": 33480, + "voltage": 23118, + "voltron": 39314, + "volu": 3563, + "volume": 8284, + "volumes": 22651, + "volun": 3356, + "voluntar": 48823, + "voluntary": 23815, + "volunte": 3556, + "volunteer": 32331, + "volunteer": 7114, + "volunteered": 34000, + "volunteering": 14902, + "volunteers": 5939, + "volution": 24043, + "volved": 42888, + "volvo": 39991, + "volvo": 16906, + "vom": 24198, + "vomit": 46485, + "von": 11269, + "von": 8497, + "voo": 19497, + "voodoo": 26869, + "voor": 34291, + "voor": 34464, + "vor": 8338, + "vor": 5308, + "vore": 18215, + "vortex": 30071, + "vos": 16863, + "vot": 48558, + "vote": 6830, + "vote": 2187, + "voted": 6454, + "votel": 41379, + "voter": 44474, + "voter": 14065, + "voters": 8925, + "votes": 6693, + "voting": 5756, + "vou": 11045, + "voucher": 18190, + "vouchers": 23384, + "vous": 10636, + "vow": 34787, + "vows": 21677, + "vox": 29215, + "vox": 22692, + "voy": 10622, + "voy": 15021, + "voyage": 16299, + "voyager": 29669, + "vp": 32758, + "vp": 3896, + "vpn": 38212, + "vr": 16840, + "vr": 5921, + "vre": 44500, + "vre": 17501, + "vs": 11385, + "vs": 1547, + "vsco": 26752, + "vsco": 32822, + "vscocam": 34694, + "vsky": 37791, + "vss": 31919, + "vt": 31732, + "vt": 10291, + "vu": 8664, + "vu": 13230, + "vue": 43915, + "vue": 19313, + "vuel": 31312, + "vuelta": 43856, + "vuitton": 26705, + "vul": 6856, + "vulcan": 34767, + "vulner": 11213, + "vulnerability": 28797, + "vulnerable": 14332, + "vulture": 34593, + "vultures": 47197, + "vv": 19264, + "vv": 35686, + "vw": 28650, + "vw": 13250, + "vx": 47644, + "vy": 11566, + "vy": 5157, + "w": 86, + "w": 342, + "wa": 869, + "wa": 2663, + "waa": 35874, + "wab": 19893, + "wab": 36852, + "wac": 27445, + "wac": 37947, + "wack": 22880, + "wack": 38270, + "wacky": 34318, + "waco": 36035, + "wad": 11133, + "wad": 30451, + "wada": 40006, + "wade": 40237, + "wade": 14180, + "wadi": 37253, + "waf": 17638, + "wafc": 49086, + "waff": 13940, + "waffle": 20375, + "waffles": 24205, + "wag": 5764, + "wag": 19177, + "wage": 10716, + "wager": 43430, + "wages": 19114, + "wagner": 18081, + "wagon": 13260, + "wagons": 47944, + "wags": 48580, + "wah": 24812, + "wah": 18014, + "wahl": 27500, + "wahlberg": 35151, + "wahoo": 47995, + "wai": 11469, + "wai": 21569, + "waifu": 46551, + "waikiki": 44907, + "wain": 28358, + "wain": 20120, + "wainwright": 45878, + "waist": 36946, + "waist": 18459, + "wait": 10021, + "wait": 1885, + "waite": 24272, + "waited": 18492, + "waiter": 32946, + "waitin": 44482, + "waiting": 2680, + "waitress": 39760, + "waitrose": 37164, + "waits": 21361, + "waiver": 42866, + "waj": 49367, + "wak": 11172, + "wak": 36015, + "waka": 42696, + "wake": 10501, + "wake": 5731, + "wakefield": 26358, + "wakes": 29108, + "wakeup": 26328, + "wakeup": 35380, + "wakeupamerica": 37474, + "waking": 13025, + "wal": 1056, + "wal": 6903, + "wala": 16468, + "walang": 49180, + "walcott": 45744, + "wald": 46930, + "wald": 15724, + "walden": 39311, + "waldo": 32440, + "waldorf": 38227, + "wale": 41247, + "wale": 20336, + "wales": 25383, + "wales": 5110, + "walgreens": 38490, + "wali": 37576, + "wali": 14768, + "walia": 44455, + "walk": 8588, + "walk": 2374, + "walkaway": 48255, + "walked": 8667, + "walker": 24735, + "walker": 6150, + "walkers": 23366, + "walkin": 45792, + "walking": 12644, + "walking": 3941, + "walkingdead": 14948, + "walkout": 47470, + "walks": 8192, + "walkway": 36614, + "wall": 4316, + "wall": 2569, + "walla": 26007, + "walla": 39982, + "wallabies": 48926, + "wallace": 12535, + "wallart": 36223, + "walled": 36567, + "waller": 45340, + "wallet": 12154, + "wallets": 38550, + "walleye": 49099, + "wallis": 42206, + "wallpaper": 10560, + "wallpapers": 29841, + "walls": 8258, + "wallstreet": 45341, + "wally": 26024, + "walmart": 11972, + "walnut": 16310, + "walnuts": 38294, + "walsall": 42935, + "walsh": 12856, + "walt": 23535, + "walt": 14312, + "waltdisneyworld": 36505, + "walter": 31156, + "walter": 10645, + "walters": 25532, + "waltham": 42742, + "waltham": 45581, + "walton": 19485, + "waltz": 35982, + "wam": 20503, + "wamy": 46970, + "wan": 2060, + "wan": 4557, + "wana": 30830, + "wand": 14636, + "wand": 28559, + "wanda": 25070, + "wander": 12985, + "wander": 24473, + "wandered": 46593, + "wanderers": 27540, + "wandering": 22597, + "wanderlust": 16129, + "wane": 27459, + "wang": 19731, + "wang": 11900, + "wani": 21674, + "wankers": 42189, + "wann": 23622, + "wanna": 35940, + "wanna": 3836, + "wannabe": 40730, + "wannaone": 44832, + "want": 18356, + "want": 1280, + "wanted": 3146, + "wanting": 12801, + "wants": 3107, + "wap": 27393, + "wap": 30368, + "waq": 47512, + "war": 984, + "war": 2238, + "wara": 21631, + "warbler": 33891, + "warcraft": 13660, + "ward": 7728, + "ward": 1460, + "warden": 27798, + "wardly": 30780, + "wardro": 14247, + "wardrobe": 15020, + "wards": 2593, + "ware": 7416, + "ware": 4476, + "wareagle": 35716, + "warehouse": 13054, + "wareness": 41601, + "wareness": 35870, + "wares": 30692, + "warfare": 15739, + "warhammer": 26832, + "warhol": 27554, + "wari": 20977, + "wark": 46346, + "wark": 15164, + "warlock": 42455, + "warm": 14725, + "warm": 3616, + "warmed": 36695, + "warmer": 14328, + "warmest": 30910, + "warming": 8606, + "warmly": 45322, + "warmongers": 33205, + "warms": 32917, + "warmth": 19636, + "warmup": 29904, + "warmups": 44094, + "warn": 19360, + "warned": 16409, + "warner": 28564, + "warner": 13402, + "warning": 4994, + "warnings": 18098, + "warns": 14086, + "waron": 38947, + "warp": 32411, + "warped": 32125, + "warran": 17392, + "warrant": 22554, + "warrants": 45677, + "warranty": 23999, + "warren": 23143, + "warren": 9234, + "warri": 4109, + "warrington": 31203, + "warrior": 18998, + "warrior": 8148, + "warriors": 6421, + "wars": 3931, + "warsaw": 21072, + "warship": 47846, + "wart": 43535, + "wart": 7346, + "wartime": 42998, + "warts": 21781, + "warwick": 23081, + "warwick": 22215, + "warwickshire": 36766, + "wary": 36213, + "was": 3398, + "was": 739, + "wasabi": 47334, + "wash": 3363, + "wash": 7810, + "washed": 14092, + "washer": 24085, + "washes": 38950, + "washing": 13029, + "washington": 16774, + "washington": 4365, + "washingtondc": 40225, + "washingtonpost": 28426, + "wasn": 5044, + "wasnt": 29607, + "wasp": 24889, + "wasps": 35300, + "wassup": 45708, + "wast": 28886, + "waste": 18157, + "waste": 6065, + "wasted": 18278, + "wasteland": 44035, + "wastewater": 34463, + "wasting": 25577, + "wat": 800, + "wat": 10621, + "wata": 42509, + "watch": 7046, + "watch": 1239, + "watchdog": 35303, + "watched": 5775, + "watcher": 35971, + "watchers": 28443, + "watches": 9521, + "watchin": 32432, + "watching": 2113, + "water": 2505, + "water": 1573, + "watercolor": 14211, + "watercolour": 18377, + "waterfall": 16403, + "waterfalls": 26692, + "waterford": 24448, + "waterfront": 16605, + "waterhouse": 45072, + "watering": 19871, + "waterloo": 17465, + "watermelon": 19889, + "waterproof": 17613, + "waters": 7753, + "watershed": 33204, + "waterstones": 45014, + "waterways": 37395, + "watford": 23162, + "watfordfc": 37328, + "wati": 27966, + "watkins": 22539, + "watson": 35490, + "watson": 9294, + "watt": 22899, + "watt": 15805, + "wattpad": 32351, + "watts": 14750, + "wau": 9479, + "wav": 6054, + "wave": 17530, + "wave": 4535, + "waved": 44657, + "waver": 25997, + "waves": 7882, + "waving": 26545, + "wavy": 31941, + "waw": 22039, + "wawrinka": 48414, + "wawx": 47387, + "wax": 18789, + "wax": 11910, + "waxing": 38781, + "way": 3079, + "way": 923, + "wayback": 47822, + "wayne": 23632, + "wayne": 7003, + "ways": 1248, + "waz": 20889, + "waz": 48835, + "wb": 10726, + "wb": 12377, + "wba": 22675, + "wbb": 14482, + "wbc": 26745, + "wbo": 49053, + "wbz": 35471, + "wc": 4842, + "wc": 5755, + "wcc": 47166, + "wcc": 34926, + "wcpo": 46624, + "wcs": 39916, + "wcvb": 32709, + "wcw": 9041, + "wd": 15998, + "wd": 7494, + "wdw": 40334, + "we": 598, + "we": 649, + "wea": 37146, + "wea": 47301, + "weak": 12128, + "weak": 10128, + "weaker": 39735, + "weakness": 21448, + "weaknesses": 43487, + "weal": 14759, + "wealth": 33150, + "wealth": 7904, + "wealthy": 22617, + "weap": 6156, + "weapon": 42612, + "weapon": 10537, + "weapons": 10007, + "wear": 12206, + "wear": 2839, + "wearab": 22983, + "wearable": 44943, + "wearable": 24973, + "wearables": 30319, + "weare": 4264, + "weare": 27867, + "weareall": 45980, + "wearec": 43620, + "wearen": 45635, + "weareone": 16149, + "weareoneexo": 16448, + "wearethe": 40242, + "wearing": 3309, + "wears": 11869, + "weary": 38766, + "weasel": 44308, + "weather": 8808, + "weather": 2237, + "weathercee": 44980, + "weatherchannel": 42138, + "weav": 22260, + "weave": 22450, + "weaver": 20297, + "weaving": 27131, + "web": 2055, + "web": 4601, + "webb": 15708, + "webber": 34248, + "webcam": 24211, + "webcam": 22589, + "webcamtoy": 27719, + "webcast": 28256, + "webcomic": 34286, + "webcomics": 39811, + "webdesign": 20470, + "webdev": 37000, + "webdevelopment": 47553, + "weber": 20179, + "webin": 8460, + "webinar": 8921, + "webinars": 47755, + "webpage": 46964, + "webs": 32829, + "webseries": 44819, + "website": 3364, + "websites": 19278, + "webster": 19471, + "websummit": 48069, + "wec": 33152, + "wechat": 46124, + "wed": 1687, + "wed": 3478, + "wedd": 7576, + "wedding": 11204, + "wedding": 3101, + "weddings": 15964, + "wedge": 21446, + "wedges": 33179, + "wedne": 2380, + "wednesday": 9311, + "wednesday": 2689, + "wednesdaymotivation": 37860, + "wednesdays": 24943, + "wednesdaywisdom": 11445, + "wedo": 43432, + "weds": 19107, + "wee": 716, + "wee": 8288, + "weed": 36935, + "weed": 8015, + "weeds": 26326, + "week": 1286, + "week": 994, + "weekday": 29244, + "weekdays": 44330, + "weekend": 17205, + "weekend": 1456, + "weekender": 36547, + "weekends": 14564, + "weekly": 34652, + "weekly": 5885, + "weeknd": 29925, + "weeks": 2898, + "weeksary": 24628, + "ween": 17517, + "ween": 1599, + "weep": 39270, + "weeping": 36629, + "weer": 32491, + "weet": 17742, + "weets": 13454, + "wef": 23313, + "weg": 47867, + "weg": 47561, + "wego": 44784, + "wego": 28220, + "weh": 48458, + "weh": 40313, + "weho": 47798, + "wei": 6958, + "wei": 20952, + "weibo": 20613, + "weigh": 10565, + "weigh": 17346, + "weighed": 33210, + "weighing": 24455, + "weighs": 20481, + "weight": 12723, + "weight": 3868, + "weighted": 43179, + "weightlifting": 36164, + "weightloss": 20359, + "weights": 21374, + "weil": 43720, + "weiler": 42203, + "wein": 29134, + "wein": 37684, + "weiner": 38822, + "weinstein": 34367, + "weir": 11299, + "weir": 25517, + "weird": 27981, + "weird": 5613, + "weirdest": 29482, + "weirdo": 32476, + "weis": 26251, + "weiser": 34833, + "weiss": 24794, + "wel": 1267, + "wel": 8042, + "welch": 25820, + "welcom": 11578, + "welcome": 18318, + "welcome": 1881, + "welcomed": 12590, + "welcomes": 9304, + "welcometo": 47511, + "welcoming": 8775, + "weld": 39776, + "welding": 24956, + "welfare": 12129, + "well": 3277, + "well": 1123, + "wellbeing": 14273, + "weller": 40921, + "welling": 49165, + "wellington": 15389, + "wellness": 40574, + "wellness": 9904, + "wells": 42705, + "wells": 9804, + "welove": 13573, + "welp": 28391, + "wels": 20852, + "welsh": 19173, + "welsh": 10977, + "welt": 38595, + "welter": 37115, + "welterweight": 39617, + "wemb": 15213, + "wembley": 16579, + "wen": 6590, + "wen": 11278, + "wend": 15166, + "wendell": 42091, + "wendy": 31616, + "wendy": 14074, + "wenger": 21105, + "went": 18633, + "went": 2437, + "wentworth": 36423, + "wentz": 39179, + "wer": 6316, + "wer": 2980, + "were": 15461, + "were": 1365, + "wered": 6605, + "weren": 13611, + "werewolf": 32001, + "werk": 30176, + "werner": 29917, + "wers": 7110, + "wes": 18620, + "wes": 14738, + "wesle": 29606, + "wesley": 17332, + "wesleyan": 32509, + "wesome": 33292, + "wess": 44431, + "west": 2973, + "west": 1593, + "westbound": 29208, + "westbrook": 26948, + "westchester": 36675, + "westcoast": 44610, + "westend": 44815, + "wester": 9846, + "western": 17079, + "western": 4463, + "westfield": 32309, + "westh": 36798, + "westin": 43232, + "westlake": 41535, + "westminster": 15158, + "weston": 22771, + "westside": 33762, + "westwood": 26371, + "westworld": 42287, + "wet": 12406, + "wet": 6682, + "weta": 40946, + "wethenorth": 45281, + "wethepeople": 48030, + "wether": 33794, + "wether": 48405, + "wetland": 37357, + "wetlands": 26547, + "wett": 41971, + "wetter": 43957, + "wewant": 39280, + "wewill": 37241, + "wex": 17234, + "wexford": 29876, + "wexmondays": 49042, + "wey": 30376, + "wey": 19781, + "weymouth": 41433, + "wf": 14576, + "wf": 22313, + "wfa": 44606, + "wfc": 36431, + "wfp": 35193, + "wftv": 47075, + "wg": 21091, + "wg": 25857, + "wga": 32354, + "wgn": 48828, + "wh": 573, + "wh": 13844, + "wha": 18994, + "wha": 25884, + "whal": 38967, + "whale": 37083, + "whale": 11650, + "whales": 17722, + "wham": 42506, + "whar": 15517, + "wharf": 22452, + "wharton": 43320, + "what": 4268, + "what": 768, + "whatcha": 37160, + "whate": 6695, + "whatever": 6743, + "whati": 23500, + "whats": 9263, + "whats": 13084, + "whatsapp": 10119, + "whatsoever": 39928, + "whatson": 35632, + "whatyou": 30508, + "whe": 2009, + "whead": 34583, + "wheat": 20505, + "wheat": 10303, + "wheaton": 46933, + "wheel": 7360, + "wheel": 6744, + "wheelchair": 17713, + "wheeler": 18405, + "wheeling": 34839, + "wheels": 8025, + "whel": 9792, + "whelan": 40715, + "when": 8753, + "when": 827, + "whenever": 10500, + "where": 7052, + "where": 1234, + "whereabouts": 47808, + "whereas": 42234, + "wheres": 46345, + "wherever": 14103, + "whereyou": 46837, + "whether": 5903, + "whew": 39016, + "whey": 34556, + "whi": 4295, + "whi": 33129, + "which": 1448, + "whiche": 48719, + "whichever": 49138, + "whil": 8499, + "while": 1519, + "whilst": 8596, + "whim": 27766, + "whimsical": 42282, + "whip": 14412, + "whipped": 22323, + "whipping": 41567, + "whir": 20873, + "whirl": 30962, + "whirlwind": 47771, + "whis": 6024, + "whiskey": 41381, + "whiskey": 11610, + "whisky": 37567, + "whisky": 12599, + "whisp": 21986, + "whispe": 30356, + "whisper": 27616, + "whisperer": 41368, + "whispering": 42599, + "whispers": 29133, + "whist": 13640, + "whistle": 23972, + "whistle": 19746, + "whistleblower": 40410, + "whistler": 29633, + "whit": 4398, + "whit": 31498, + "whitaker": 35851, + "whitby": 30858, + "white": 4699, + "white": 1579, + "whiteboard": 40839, + "whitec": 24575, + "whitehall": 42827, + "whitehead": 43560, + "whitehouse": 20776, + "whitening": 35540, + "whitepaper": 42713, + "whites": 35886, + "whites": 18835, + "whitesox": 28816, + "whitewater": 49350, + "whitfield": 48404, + "whitley": 40564, + "whitman": 32394, + "whitney": 43021, + "whitney": 18048, + "whitt": 33784, + "whittaker": 47595, + "whl": 25801, + "who": 2969, + "who": 822, + "whoa": 16943, + "whoever": 11137, + "whois": 41884, + "whole": 10360, + "whole": 2954, + "wholefoods": 42840, + "wholesale": 18306, + "wholesome": 35959, + "whom": 38158, + "whom": 12873, + "whoo": 20003, + "whoo": 49290, + "whoop": 22060, + "whoops": 28433, + "whopping": 34384, + "whore": 31690, + "whos": 41460, + "whos": 27130, + "whose": 6933, + "whouse": 45927, + "whs": 26292, + "wht": 32470, + "whufc": 31695, + "whun": 18272, + "why": 11040, + "why": 1182, + "whyte": 42386, + "wi": 820, + "wi": 5585, + "wib": 45303, + "wic": 7834, + "wich": 9759, + "wich": 5238, + "wichita": 22566, + "wick": 6798, + "wick": 6479, + "wicked": 32579, + "wicked": 12825, + "wicker": 38096, + "wicket": 19180, + "wickets": 22110, + "wicklow": 39039, + "wicz": 30121, + "wid": 11886, + "wid": 20886, + "wide": 19341, + "wide": 3184, + "widely": 16195, + "widening": 46598, + "wider": 21263, + "widesp": 20598, + "widespread": 21258, + "widget": 43906, + "wido": 28068, + "widow": 19949, + "widows": 42129, + "width": 23571, + "wie": 21378, + "wie": 9131, + "wielding": 47272, + "wien": 38131, + "wiener": 40567, + "wies": 42788, + "wif": 37572, + "wife": 3607, + "wifey": 35282, + "wifi": 11026, + "wig": 23690, + "wig": 12216, + "wigan": 23130, + "wiggins": 32329, + "wiggle": 47812, + "wight": 41278, + "wight": 15545, + "wigs": 31207, + "wii": 8005, + "wiiu": 40980, + "wiki": 10373, + "wiki": 24265, + "wikileaks": 28731, + "wikipedia": 15176, + "wil": 1352, + "wil": 20581, + "wilbur": 43069, + "wilcox": 43231, + "wild": 2780, + "wild": 3220, + "wildatlantic": 35500, + "wildatlanticway": 35776, + "wildcard": 37360, + "wildcat": 49077, + "wildcat": 25870, + "wildcats": 15909, + "wilde": 23498, + "wilder": 14343, + "wilder": 23499, + "wilderness": 16506, + "wildest": 43028, + "wildfire": 22788, + "wildfires": 29184, + "wildflower": 27628, + "wildflower": 33181, + "wildflowerhour": 31302, + "wildflowers": 29136, + "wildlife": 13298, + "wildlife": 5250, + "wildlifephotography": 32307, + "wildlifewednesday": 48537, + "wildly": 35981, + "wildoz": 40113, + "wiley": 32747, + "wilhelm": 39696, + "wilkes": 39548, + "wilkins": 36986, + "wilkinson": 26797, + "will": 5062, + "will": 751, + "willam": 43276, + "willard": 44920, + "wille": 48739, + "willem": 38044, + "willi": 2256, + "william": 8420, + "william": 4705, + "williams": 38452, + "williams": 4075, + "williamsburg": 30683, + "williamson": 20793, + "willie": 13907, + "willing": 34160, + "willing": 11718, + "willingness": 40573, + "willis": 18491, + "willow": 33887, + "willow": 15665, + "wills": 26913, + "willy": 34502, + "willy": 19599, + "wilmington": 28052, + "wilms": 47879, + "wilshere": 48359, + "wilson": 23629, + "wilson": 5622, + "wilt": 23394, + "wilt": 47357, + "wilton": 46638, + "wiltshire": 28025, + "wim": 8662, + "wim": 27580, + "wimble": 11752, + "wimbledon": 12229, + "win": 831, + "win": 1225, + "winchester": 20647, + "wind": 6812, + "wind": 3630, + "winder": 44454, + "winder": 46245, + "winding": 22390, + "windmill": 34084, + "windo": 3110, + "window": 26675, + "window": 4879, + "windows": 5437, + "winds": 12668, + "winds": 7012, + "windshield": 33002, + "windsor": 44322, + "windsor": 12884, + "windy": 13446, + "wine": 7375, + "wine": 2604, + "winelover": 26357, + "winemaker": 41588, + "wineoclock": 43846, + "wineries": 49349, + "winery": 15500, + "wines": 8263, + "winetasting": 41288, + "winewednesday": 35447, + "wing": 8141, + "wing": 1340, + "winged": 24993, + "winger": 22727, + "winget": 44578, + "wings": 5178, + "wink": 34455, + "wink": 25859, + "winkle": 36430, + "winn": 38104, + "winne": 46273, + "winner": 32961, + "winner": 2520, + "winners": 4320, + "winni": 13018, + "winnie": 29022, + "winning": 42099, + "winning": 2577, + "winnings": 46490, + "winnipeg": 14369, + "winona": 49202, + "wins": 46839, + "wins": 2718, + "winslow": 39658, + "winston": 14848, + "winter": 7340, + "winter": 2541, + "winters": 21587, + "wintry": 39504, + "wip": 10447, + "wipe": 26761, + "wiped": 31822, + "wipes": 33463, + "wir": 16849, + "wir": 44838, + "wire": 7558, + "wire": 7794, + "wired": 18935, + "wireless": 9103, + "wires": 24311, + "wiring": 36434, + "wirral": 34675, + "wis": 3392, + "wis": 20405, + "wiscon": 9857, + "wisconsin": 10265, + "wisdom": 42474, + "wisdom": 5425, + "wise": 19116, + "wise": 5558, + "wisely": 26173, + "wiser": 44859, + "wish": 11328, + "wish": 2412, + "wished": 25883, + "wishes": 6045, + "wishing": 5307, + "wishlist": 31969, + "wit": 584, + "wit": 8531, + "witch": 20139, + "witch": 10083, + "witchcraft": 35065, + "witcher": 33684, + "witches": 21673, + "with": 1435, + "with": 593, + "withdra": 24696, + "withdraw": 31670, + "withdrawal": 25765, + "withdrawn": 46687, + "withdraws": 48637, + "wither": 39655, + "witherspoon": 45409, + "within": 4154, + "withme": 44670, + "without": 32836, + "without": 2193, + "withstand": 42236, + "withthe": 36872, + "withus": 30572, + "withyou": 30351, + "witne": 12096, + "witness": 8793, + "witnessed": 20187, + "witnesses": 22778, + "witnessing": 33618, + "wits": 30938, + "witt": 38194, + "witt": 17168, + "witter": 31597, + "witty": 29970, + "witz": 44186, + "witz": 13265, + "wiv": 48925, + "wives": 14378, + "wiwx": 44461, + "wiz": 7730, + "wiz": 23178, + "wizar": 49121, + "wizard": 30490, + "wizard": 14295, + "wizards": 19140, + "wizkid": 40146, + "wj": 19739, + "wj": 35453, + "wk": 11512, + "wk": 11528, + "wkend": 42336, + "wknd": 20851, + "wks": 25508, + "wku": 43377, + "wl": 13299, + "wl": 9613, + "wm": 20268, + "wm": 15790, + "wn": 1186, + "wn": 757, + "wnba": 32358, + "wned": 8628, + "wns": 12950, + "wnt": 22484, + "wny": 24833, + "wo": 1613, + "wo": 11132, + "woah": 17751, + "wob": 35984, + "woc": 39011, + "wod": 41522, + "woes": 27860, + "wof": 45671, + "woj": 48931, + "wok": 28912, + "woke": 9331, + "woken": 43697, + "woking": 43931, + "wol": 2798, + "wol": 48622, + "wold": 42399, + "wolf": 9453, + "wolf": 5916, + "wolfe": 24989, + "wolff": 34369, + "wolfgang": 34061, + "wolfpack": 30887, + "wolve": 45101, + "wolver": 14334, + "wolverhampton": 34518, + "wolverine": 23353, + "wolverines": 42003, + "wolves": 9372, + "wom": 1087, + "womack": 48980, + "woman": 15716, + "woman": 2308, + "womanc": 35630, + "womancrush": 37721, + "womancrushwednesday": 39714, + "womanin": 30562, + "womaninbiz": 36482, + "womb": 37023, + "women": 3648, + "women": 1507, + "womenin": 13062, + "womeninscience": 41343, + "womeninstem": 29380, + "womenintech": 31470, + "womenof": 48421, + "womens": 12822, + "womens": 14408, + "womensart": 38548, + "womensday": 13956, + "womenshi": 22887, + "womenshistorymonth": 24982, + "womensmarch": 30102, + "won": 1528, + "won": 1749, + "wonder": 2070, + "wonder": 3936, + "wondercon": 46944, + "wondered": 15550, + "wonderful": 2582, + "wonderfully": 23245, + "wondering": 8360, + "wonderland": 13874, + "wonders": 14048, + "wonderwoman": 31000, + "wondo": 38402, + "wondr": 46771, + "wong": 17876, + "wonka": 43463, + "wont": 43174, + "wont": 15952, + "woo": 1867, + "woo": 9322, + "wood": 3269, + "wood": 1704, + "woodbridge": 49074, + "wooden": 48226, + "wooden": 9057, + "woodland": 44314, + "woodland": 17447, + "woodlands": 32430, + "woodley": 40566, + "woodpecker": 32684, + "woods": 6267, + "woodson": 48967, + "woodstock": 29486, + "woodward": 27419, + "woodwork": 47386, + "woodworking": 29267, + "woody": 38627, + "woody": 17144, + "woof": 34234, + "woof": 24028, + "woohoo": 20172, + "wook": 29192, + "wool": 9967, + "wool": 13283, + "woolf": 43728, + "woolly": 47722, + "woon": 33126, + "wooo": 43217, + "woop": 31884, + "woot": 22466, + "wor": 641, + "worcester": 22172, + "worcester": 19580, + "worcestershire": 38440, + "worcestershirehour": 43644, + "word": 8272, + "word": 2653, + "wordof": 33500, + "wordoftheday": 43594, + "wordpress": 15193, + "words": 31007, + "words": 2709, + "wore": 8953, + "work": 1636, + "work": 951, + "workday": 29735, + "worked": 5410, + "worker": 8098, + "workers": 4795, + "workflow": 28502, + "workforce": 14672, + "workin": 31825, + "workin": 26323, + "working": 20806, + "working": 1699, + "workinprogress": 46086, + "workout": 6773, + "workouts": 22779, + "workplace": 11959, + "workplaces": 47383, + "works": 2322, + "workshop": 3832, + "workshops": 12262, + "workspace": 34470, + "worl": 5221, + "world": 2334, + "world": 1002, + "worlda": 46627, + "worldbank": 36759, + "worldbookday": 31191, + "worldcup": 42525, + "worldcup": 8650, + "worlden": 44668, + "worldenviron": 47115, + "worldenvironmentday": 47522, + "worldly": 36268, + "worldo": 41698, + "worldof": 22636, + "worldre": 33951, + "worlds": 7691, + "worldseries": 26695, + "worldtour": 23202, + "worldwater": 41176, + "worldwaterday": 44520, + "worldwide": 6214, + "worm": 33709, + "worm": 10945, + "worms": 20231, + "worn": 9037, + "worried": 11911, + "worries": 17684, + "worry": 7534, + "worrying": 24058, + "worse": 8236, + "worsen": 46344, + "worshi": 31840, + "worship": 46399, + "worship": 9023, + "worst": 5719, + "wort": 30209, + "worth": 10671, + "worth": 2450, + "worthing": 39929, + "worthit": 40830, + "worthless": 44736, + "worths": 44633, + "worthwhile": 36295, + "worthy": 8881, + "worx": 44973, + "wot": 24863, + "wou": 5279, + "would": 39873, + "would": 1311, + "wouldn": 5878, + "wouldnt": 41595, + "wound": 19231, + "wounded": 14859, + "wounds": 21290, + "woven": 19830, + "wow": 22191, + "wow": 2781, + "woz": 44558, + "wozni": 47782, + "wp": 15378, + "wp": 13302, + "wpg": 35048, + "wps": 33386, + "wq": 45195, + "wr": 1189, + "wr": 8028, + "wra": 3852, + "wra": 46004, + "wral": 49050, + "wrangler": 30923, + "wrap": 7094, + "wrapped": 9875, + "wrapping": 15223, + "wraps": 18236, + "wrath": 29783, + "wray": 48943, + "wrc": 16004, + "wre": 3168, + "wreath": 23091, + "wrec": 20879, + "wreck": 28775, + "wreck": 15017, + "wrecked": 32695, + "wreckem": 45676, + "wrecking": 36956, + "wrecks": 45545, + "wren": 20191, + "wren": 31970, + "wrench": 30980, + "wrest": 4177, + "wrestle": 17097, + "wrestle": 28086, + "wrestlemania": 18849, + "wrestler": 19790, + "wrestlers": 25902, + "wrestling": 31292, + "wrestling": 5904, + "wrexham": 34479, + "wri": 7667, + "wri": 42007, + "wright": 28616, + "wright": 6991, + "wrights": 43711, + "wrigley": 33538, + "wrink": 22201, + "wrinkle": 46642, + "wrinkles": 35525, + "wrist": 19243, + "wrist": 16139, + "wristband": 36890, + "wristbands": 44864, + "writ": 2902, + "write": 28874, + "write": 4946, + "writer": 27886, + "writer": 4422, + "writers": 18742, + "writers": 7307, + "writerslife": 25007, + "writes": 8023, + "writing": 16053, + "writing": 2979, + "writingcommunity": 39178, + "writings": 36259, + "written": 5231, + "wro": 5447, + "wrong": 18381, + "wrong": 3669, + "wrongly": 45642, + "wrote": 5796, + "wrought": 48125, + "wrs": 45280, + "ws": 6300, + "ws": 799, + "wsb": 30681, + "wsbtv": 38394, + "wsj": 19764, + "wski": 12548, + "wsl": 43706, + "wsoc": 40253, + "wson": 33954, + "wsop": 41231, + "wsu": 44674, + "wsu": 32913, + "wsw": 43285, + "wt": 15873, + "wt": 12255, + "wta": 25984, + "wtc": 39718, + "wtf": 6891, + "wth": 23021, + "wthr": 45269, + "wti": 47345, + "wto": 36406, + "wts": 32159, + "wu": 9710, + "wu": 9837, + "wud": 43870, + "wul": 35154, + "wunder": 36661, + "wur": 24040, + "wurst": 44409, + "wusa": 40021, + "wut": 28590, + "wv": 18920, + "wv": 14743, + "wvu": 44878, + "wvu": 25879, + "ww": 3181, + "ww": 4491, + "wwc": 26505, + "wwdc": 47441, + "wwe": 12112, + "wwe": 5290, + "wwen": 23308, + "wwenetwork": 37228, + "wwenxt": 39898, + "wwer": 32038, + "wwf": 23332, + "wwfc": 42681, + "wwg": 35322, + "wwi": 20194, + "wwii": 10261, + "www": 26074, + "www": 9667, + "wwwbigbaldhead": 30761, + "wwww": 34224, + "wwww": 25200, + "wwwww": 48268, + "wwx": 47431, + "wx": 18192, + "wx": 3561, + "wy": 4665, + "wy": 7625, + "wyatt": 21660, + "wyd": 33113, + "wye": 48436, + "wye": 43751, + "wylie": 49330, + "wyn": 11802, + "wyn": 17504, + "wynn": 36117, + "wynne": 35951, + "wynonna": 41456, + "wynonnaearp": 43755, + "wyoming": 18693, + "x": 87, + "x": 343, + "xa": 24831, + "xan": 45530, + "xander": 45601, + "xavi": 36342, + "xavier": 41044, + "xavier": 18567, + "xb": 33678, + "xbox": 18063, + "xbox": 7748, + "xboxone": 27410, + "xc": 12515, + "xchange": 49132, + "xd": 6380, + "xe": 42886, + "xe": 19183, + "xen": 15568, + "xer": 49005, + "xf": 35274, + "xfactor": 25211, + "xfinity": 35107, + "xford": 34732, + "xh": 45771, + "xham": 25284, + "xi": 2467, + "xi": 7376, + "xia": 19854, + "xia": 20724, + "xian": 42570, + "xiao": 49318, + "xiaomi": 27477, + "xico": 38469, + "xide": 17398, + "xie": 40122, + "xie": 15976, + "xii": 36525, + "xiii": 28199, + "xim": 11217, + "xin": 27053, + "xin": 41517, + "xing": 14383, + "xion": 24164, + "xis": 35793, + "xit": 5316, + "xiumin": 36563, + "xiv": 16125, + "xj": 42453, + "xl": 36529, + "xl": 8833, + "xley": 38223, + "xm": 18626, + "xma": 48805, + "xmas": 48848, + "xmas": 6425, + "xmen": 28708, + "xn": 25388, + "xo": 26936, + "xo": 9000, + "xon": 29186, + "xon": 8482, + "xox": 11531, + "xox": 34050, + "xoxo": 13313, + "xp": 15651, + "xper": 32200, + "xperia": 37615, + "xpo": 44377, + "xpress": 31809, + "xq": 40606, + "xr": 26276, + "xrp": 26965, + "xs": 16397, + "xt": 1052, + "xtina": 45520, + "xton": 32666, + "xton": 10597, + "xtra": 26969, + "xtre": 27025, + "xtreme": 33483, + "xu": 42063, + "xu": 37198, + "xv": 17768, + "xvi": 44031, + "xx": 5675, + "xx": 3553, + "xxl": 29777, + "xxx": 33923, + "xxx": 8352, + "xxxx": 32035, + "xxxx": 22819, + "xxxxx": 44195, + "xy": 20023, + "xy": 11443, + "y": 88, + "y": 344, + "ya": 5018, + "ya": 1430, + "yaa": 48847, + "yaa": 34498, + "yaan": 34680, + "yab": 27737, + "yach": 9039, + "yacht": 43806, + "yacht": 12859, + "yachts": 29260, + "yad": 13276, + "yad": 40047, + "yadav": 26650, + "yaf": 38019, + "yag": 35081, + "yah": 16170, + "yah": 12381, + "yaho": 37929, + "yahoo": 38152, + "yahoo": 16846, + "yak": 11014, + "yak": 29074, + "yaki": 44677, + "yaku": 29572, + "yakuza": 42628, + "yal": 16198, + "yal": 13418, + "yale": 39926, + "yale": 17157, + "yall": 9210, + "yam": 6666, + "yam": 19318, + "yama": 23512, + "yamaha": 18854, + "yan": 3949, + "yan": 4788, + "yana": 18698, + "yand": 38609, + "yang": 23818, + "yang": 12605, + "yani": 26439, + "yankee": 21554, + "yankees": 11889, + "yann": 40246, + "yann": 38657, + "yao": 45231, + "yap": 48700, + "yap": 34468, + "yar": 6786, + "yar": 23071, + "yard": 20234, + "yard": 4313, + "yards": 7550, + "yarmouth": 45941, + "yarn": 19702, + "yarra": 46824, + "yas": 8168, + "yas": 20570, + "yash": 30216, + "yash": 37836, + "yasi": 37700, + "yasss": 23873, + "yat": 29443, + "yat": 34965, + "yates": 27677, + "yatra": 38932, + "yav": 41275, + "yaw": 31989, + "yawn": 48643, + "yay": 20614, + "yay": 6712, + "yaya": 37608, + "yaz": 19348, + "yaz": 42252, + "yb": 41785, + "yb": 27615, + "yc": 11931, + "ycle": 38089, + "yd": 29896, + "yd": 9534, + "yday": 15899, + "yds": 24819, + "ye": 693, + "ye": 4582, + "yea": 13687, + "yeah": 29405, + "yeah": 3908, + "year": 5163, + "year": 935, + "yearbook": 21636, + "yearling": 48392, + "yearly": 24541, + "yearof": 31944, + "yearofthe": 47899, + "years": 30864, + "years": 1151, + "yearsof": 14932, + "yearswith": 45249, + "yeast": 25819, + "yeats": 44903, + "yed": 28137, + "yed": 3301, + "yee": 18114, + "yee": 23108, + "yeezy": 24901, + "yeg": 16854, + "yeg": 11976, + "yegfood": 48711, + "yeh": 21331, + "yel": 3323, + "yel": 48164, + "yell": 30824, + "yelled": 39199, + "yelling": 26581, + "yellow": 12059, + "yellow": 4481, + "yellowstone": 29241, + "yelp": 31674, + "yemen": 29276, + "yemen": 12513, + "yemeni": 44656, + "yemi": 42267, + "yen": 29602, + "yen": 17960, + "yeo": 32292, + "yeo": 43830, + "yeol": 15808, + "yeon": 16602, + "yep": 10964, + "yer": 15491, + "yer": 2371, + "yers": 3722, + "yes": 21620, + "yes": 1958, + "yess": 42778, + "yess": 40189, + "yesss": 36210, + "yessss": 45620, + "yester": 1905, + "yesterday": 1926, + "yesterdays": 36238, + "yesung": 38527, + "yet": 2296, + "yeti": 34228, + "yev": 39855, + "yew": 34660, + "yey": 45447, + "yg": 16396, + "ygk": 44758, + "ygo": 46166, + "yh": 41978, + "yi": 5826, + "yi": 14762, + "yield": 16825, + "yields": 24856, + "yikes": 25094, + "yin": 26476, + "yin": 23543, + "ying": 42933, + "ying": 910, + "yixing": 32120, + "yk": 30965, + "yl": 2656, + "yl": 4045, + "ylan": 41875, + "ylde": 42850, + "yle": 32305, + "yle": 10770, + "ylene": 34239, + "yler": 48081, + "yles": 42860, + "ylon": 22375, + "ylor": 48468, + "ym": 1786, + "ym": 19587, + "yman": 29077, + "ymc": 47101, + "ymca": 22369, + "yment": 8199, + "ymes": 39968, + "ymi": 5271, + "ymm": 37133, + "ymoun": 41426, + "ymouth": 36429, + "yn": 2823, + "yn": 4100, + "yne": 18238, + "ynes": 18020, + "ynn": 10499, + "ynna": 48292, + "ynwa": 27372, + "yo": 586, + "yo": 3497, + "yoda": 31922, + "yof": 5966, + "yofficial": 21818, + "yofthe": 43983, + "yog": 34985, + "yog": 36539, + "yoga": 25872, + "yoga": 5523, + "yogh": 32626, + "yoghurt": 33491, + "yogi": 22766, + "yogur": 16137, + "yogurt": 16819, + "yoh": 48880, + "yoke": 41969, + "yoko": 25929, + "yoko": 32256, + "yokohama": 42409, + "yol": 19387, + "yol": 35218, + "yolanda": 43845, + "yolo": 20905, + "yom": 34718, + "yom": 44527, + "yon": 10147, + "yon": 7604, + "yong": 27960, + "yong": 20887, + "yonge": 48592, + "yoo": 25842, + "yoo": 20775, + "yoon": 30863, + "yoon": 22113, + "yoona": 32736, + "yoongi": 24037, + "yor": 2028, + "yor": 21132, + "york": 5318, + "york": 2705, + "yorker": 23865, + "yorkers": 41041, + "yorks": 39093, + "yorkshi": 43367, + "yorkshire": 27007, + "yorkshire": 8633, + "yoruba": 46083, + "yos": 35607, + "yosemite": 25893, + "yoshi": 22920, + "yoshi": 25354, + "yot": 22875, + "yotes": 46157, + "yotpo": 26113, + "you": 1562, + "you": 592, + "youare": 33879, + "youcan": 32498, + "youknow": 47919, + "youknow": 41088, + "youn": 1596, + "young": 6939, + "young": 1888, + "younger": 10414, + "youngest": 12316, + "youngjae": 46426, + "youngster": 35881, + "youngsters": 28098, + "younow": 33831, + "your": 2130, + "your": 695, + "youre": 28344, + "youre": 19695, + "yourown": 28583, + "yours": 3834, + "yourself": 3053, + "yourselves": 19747, + "youth": 10743, + "youth": 3281, + "youthful": 37480, + "youths": 23614, + "youts": 22737, + "youtu": 13868, + "youtube": 31258, + "youtube": 3895, + "youtuber": 24720, + "youtubers": 36822, + "youu": 35055, + "youuu": 35324, + "youuuu": 47123, + "yoy": 41865, + "yp": 38370, + "yp": 34734, + "ypg": 37386, + "yql": 46122, + "yqr": 36881, + "yr": 18395, + "yr": 4333, + "yrs": 4822, + "ys": 1971, + "ys": 961, + "yser": 33121, + "ysis": 4843, + "ysl": 45681, + "ysm": 23842, + "yst": 40528, + "yt": 36777, + "yt": 14779, + "ytd": 47524, + "yte": 48172, + "yu": 3371, + "yu": 8887, + "yuan": 26236, + "yuck": 48282, + "yugo": 48231, + "yuh": 42547, + "yui": 47932, + "yuk": 17037, + "yuk": 24063, + "yuki": 34010, + "yukon": 27094, + "yul": 39832, + "yum": 6869, + "yum": 7259, + "yuma": 47566, + "yummy": 7687, + "yun": 14976, + "yun": 18288, + "yung": 44545, + "yung": 17676, + "yunho": 39748, + "yup": 13231, + "yur": 42533, + "yuri": 23823, + "yusuf": 33222, + "yuv": 36784, + "yves": 33698, + "yvon": 23327, + "yvonne": 32583, + "yvr": 29058, + "yw": 33741, + "yx": 35624, + "yxe": 34240, + "yy": 3433, + "yy": 8321, + "yya": 37444, + "yyc": 27542, + "yyc": 11741, + "yyj": 26203, + "yyy": 11514, + "yyyy": 38749, + "yyyy": 16955, + "yyyyy": 26089, + "yyyyyy": 47055, + "yz": 37579, + "yz": 46451, + "yü": 48232, + "z": 89, + "z": 345, + "za": 3710, + "za": 2186, + "zab": 22982, + "zable": 37002, + "zac": 25501, + "zac": 19159, + "zach": 13401, + "zach": 11815, + "zachary": 32401, + "zack": 30567, + "zack": 19120, + "zad": 47314, + "zad": 27838, + "zada": 34889, + "zaf": 21837, + "zafar": 46668, + "zag": 26091, + "zag": 29346, + "zagre": 34107, + "zagreb": 35355, + "zah": 23258, + "zah": 43297, + "zaha": 44408, + "zai": 44329, + "zai": 27065, + "zain": 34400, + "zain": 45366, + "zak": 13050, + "zak": 20738, + "zaki": 48091, + "zal": 20552, + "zal": 33298, + "zam": 7218, + "zam": 41578, + "zambia": 21671, + "zan": 7284, + "zan": 17835, + "zana": 39643, + "zand": 37712, + "zane": 34786, + "zani": 45373, + "zania": 15059, + "zano": 27637, + "zanzi": 47835, + "zap": 24134, + "zapp": 33504, + "zappa": 46592, + "zar": 5458, + "zar": 16392, + "zara": 24454, + "zardari": 20174, + "zas": 48261, + "zation": 3683, + "zawa": 49281, + "zay": 7102, + "zayed": 36726, + "zayn": 22292, + "zayn": 10308, + "zaynmalik": 25278, + "zazzle": 47857, + "ze": 2254, + "ze": 1298, + "zeal": 44951, + "zealand": 7618, + "zeb": 46518, + "zebra": 47394, + "zebra": 22548, + "zed": 21047, + "zed": 1993, + "zedd": 45608, + "zee": 25468, + "zee": 14080, + "zeiss": 47460, + "zeit": 37898, + "zeit": 37906, + "zek": 40829, + "zeke": 47065, + "zel": 10389, + "zel": 12027, + "zelda": 17138, + "zell": 39526, + "zen": 8518, + "zen": 3928, + "zend": 33478, + "zendaya": 35956, + "zenith": 44740, + "zens": 15298, + "zeph": 40726, + "zepp": 22977, + "zeppelin": 25408, + "zer": 6118, + "zer": 3716, + "zero": 14867, + "zero": 5848, + "zers": 9547, + "zes": 4073, + "zest": 37709, + "zet": 34098, + "zeta": 30954, + "zetta": 45993, + "zeus": 32800, + "zey": 46647, + "zh": 33389, + "zh": 41621, + "zhang": 21127, + "zhen": 37374, + "zhen": 33236, + "zhou": 17384, + "zhu": 42049, + "zi": 2651, + "zi": 5819, + "zia": 13764, + "zid": 30235, + "zidane": 34643, + "zie": 29316, + "zie": 8956, + "zieg": 40157, + "ziegler": 46812, + "ziel": 32151, + "zier": 15399, + "zies": 38001, + "ziest": 28159, + "zig": 15950, + "zig": 21345, + "ziggy": 39274, + "zik": 30125, + "zika": 28783, + "zil": 25039, + "zil": 33190, + "zilla": 17879, + "zim": 8112, + "zim": 22577, + "zimbab": 12373, + "zimbabwe": 45668, + "zimbabwe": 13583, + "zimmer": 27452, + "zimmer": 35211, + "zimmerman": 38231, + "zin": 14085, + "zin": 21278, + "zinc": 27458, + "zind": 26206, + "zindabad": 42208, + "zine": 16100, + "zing": 25062, + "zing": 3152, + "zinger": 42027, + "zio": 13906, + "zion": 31763, + "zion": 20963, + "zione": 36161, + "zionist": 33078, + "zip": 26479, + "zip": 16083, + "zipper": 33670, + "zir": 31892, + "zl": 39168, + "zlat": 32489, + "zlatan": 37877, + "zm": 43691, + "zman": 24248, + "zn": 18004, + "zo": 4397, + "zo": 5056, + "zodi": 22660, + "zodiac": 27753, + "zoe": 43114, + "zoe": 16662, + "zoey": 39871, + "zog": 40680, + "zol": 25939, + "zola": 46105, + "zom": 6623, + "zombi": 29452, + "zombie": 11819, + "zombies": 46702, + "zombies": 16517, + "zon": 15109, + "zon": 14618, + "zona": 42134, + "zone": 37197, + "zone": 4442, + "zones": 17247, + "zoning": 36790, + "zoo": 8182, + "zoo": 7147, + "zoom": 32671, + "zoom": 13909, + "zor": 17605, + "zou": 38072, + "zr": 39275, + "zs": 35248, + "zshq": 41442, + "zt": 42629, + "zu": 4091, + "zu": 14184, + "zucchini": 29873, + "zucker": 26890, + "zuckerberg": 30066, + "zul": 31146, + "zulu": 32821, + "zum": 35094, + "zuma": 23326, + "zumba": 32976, + "zun": 42440, + "zur": 17128, + "zurich": 21288, + "zw": 42188, + "zx": 31604, + "zy": 6615, + "zy": 2303, + "zyk": 39112, + "zyme": 36472, + "zyn": 45287, + "zz": 1544, + "zz": 4943, + "zza": 14642, + "zzi": 13974, + "zzie": 18635, + "zzle": 7873, + "zzled": 39075, + "zzo": 14036, + "zzy": 21275, + "zzy": 8353, + "zzz": 20055, + "zzzz": 35742, + "zzzz": 43103, + "{": 90, + "{": 346, + "{}": 39025, + "|": 91, + "|#": 31183, + "|": 347, + "|@": 41677, + "||": 7566, + "}": 92, + "}": 348, + "~": 93, + "~!": 31181, + "~\"": 48442, + "~": 349, + "~>": 43291, + "~@": 44247, + "~~": 11461, + "~~": 16671, + "~~~": 32472, + "~~~~": 28295, + "¡": 94, + "¡": 350, + "¡ï¸ı": 15113, + "¡ï¸ı": 4174, + "¡ľ": 43991, + "¢": 95, + "¢": 351, + "£": 96, + "£": 352, + "£ï¸ı": 18446, + "¤": 97, + "¤": 353, + "¥": 98, + "¥": 354, + "¦": 99, + "¦": 355, + "¦Ī": 47615, + "§": 100, + "§": 356, + "¨": 101, + "¨": 357, + "©": 102, + "©": 358, + "ª": 103, + "ª": 359, + "«": 104, + "«": 360, + "¬": 105, + "¬": 361, + "¬ë": 31736, + "®": 106, + "®": 362, + "¯": 107, + "¯": 363, + "°": 108, + "°:": 21787, + "°": 364, + "°ï¸ı": 34777, + "±": 109, + "±": 365, + "±ï¸ı": 41020, + "²": 110, + "²": 366, + "³": 111, + "³": 367, + "³ï¸ı": 22195, + "³ï¸ı": 24706, + "´": 112, + "´": 368, + "µ": 113, + "µ": 369, + "µï¸ı": 27605, + "¶": 114, + "¶": 370, + "·": 115, + "·": 371, + "¸": 116, + "¸": 372, + "¸ë": 19693, + "¹": 117, + "¹": 373, + "º": 118, + "º": 374, + "»": 119, + "»": 375, + "¼": 120, + "¼": 376, + "½": 121, + "½": 377, + "½ï¸ı": 31333, + "¾": 122, + "¾": 378, + "¿": 123, + "¿": 379, + "À": 124, + "À": 380, + "Á": 125, + "Á": 381, + "Â": 126, + "Â": 382, + "¡": 26868, + "¡": 10830, + "¡¡": 45505, + "¢": 41359, + "£": 31117, + "£": 1950, + "Â¥": 20199, + "¨": 19957, + "¨¨": 23089, + "¨¨¨¨": 41223, + "©": 31148, + "©": 5811, + "«": 14434, + "®": 30857, + "®": 8436, + "¯": 38682, + "¯": 43593, + "¯\\": 44096, + "¯\\_(": 45115, + "°": 21305, + "°": 6858, + "²": 41175, + "´": 30560, + "´": 12559, + "·": 14844, + "º": 28059, + "»": 31642, + "»": 7599, + "½": 33613, + "¿": 44559, + "¿": 17133, + "ÂŃ": 22618, + "Ã": 127, + "Ã": 383, + "á": 7261, + "á": 22229, + "án": 38340, + "án": 21385, + "â": 26170, + "ã": 19339, + "ão": 21141, + "ä": 10896, + "ä": 47276, + "än": 42787, + "Ã¥": 23176, + "æ": 42495, + "ç": 10067, + "ça": 22711, + "è": 12138, + "è": 37761, + "ère": 30272, + "ès": 41210, + "é": 3459, + "é": 4166, + "éal": 45251, + "ée": 13489, + "és": 20507, + "ê": 27515, + "ë": 29526, + "ë": 40520, + "î": 48704, + "ï": 35689, + "ñ": 6445, + "ña": 17753, + "ño": 16574, + "ños": 40104, + "ó": 8891, + "ó": 27733, + "ón": 13926, + "ô": 26815, + "ö": 7255, + "ö": 37423, + "ör": 31762, + "ø": 17483, + "ø": 45598, + "ú": 17963, + "ú": 36019, + "ü": 6522, + "ü": 47177, + "ür": 26132, + "ÃĹ": 16165, + "Ãł": 36149, + "Ãł": 21259, + "ÃŃ": 8366, + "ÃŃ": 23928, + "ÃŃa": 16609, + "ÃŃn": 33623, + "Ä": 128, + "Ä": 384, + "ı": 18562, + "ı": 41901, + "Äģ": 23134, + "Äĩ": 31719, + "Äį": 45414, + "ÄŁ": 26540, + "Å": 129, + "Å": 385, + "Å¡": 35621, + "ÅĤ": 40419, + "Åį": 41267, + "ÅŁ": 21254, + "ÅŁ": 40706, + "Æ": 130, + "Æ": 386, + "Ç": 131, + "Ç": 387, + "È": 132, + "È": 388, + "É": 133, + "É": 389, + "Ê": 134, + "Ê": 390, + "Ë": 135, + "Ë": 391, + "Ì": 136, + "Ì": 392, + "Ìĩ": 16384, + "Í": 137, + "Í": 393, + "Î": 138, + "Î": 394, + "Ï": 139, + "Ï": 395, + "Ïī": 38065, + "Ð": 140, + "Ð": 396, + "а": 16912, + "а": 27080, + "аÐ": 31090, + "в": 39813, + "е": 22176, + "и": 16701, + "иÐ": 29503, + "к": 27152, + "л": 47611, + "м": 38018, + "н": 22705, + "о": 13506, + "о": 29386, + "оÐ": 20978, + "од": 38416, + "оÑĤ": 28599, + "п": 26302, + "пÑĢи": 46321, + "пÑĢиÑĢода": 48150, + "Ñ": 141, + "Ñ": 397, + "ÑĢ": 16370, + "ÑĢи": 41092, + "ÑĢод": 47039, + "ÑĢода": 47929, + "Ñģ": 23669, + "ÑĤ": 17875, + "Ñĥ": 39729, + "ÑĦ": 27993, + "ÑĦоÑĤ": 35155, + "ÑĦоÑĤо": 38981, + "Ñĭ": 45001, + "Ò": 142, + "Ò": 398, + "Ó": 143, + "Ó": 399, + "Ô": 144, + "Ô": 400, + "Õ": 145, + "Õ": 401, + "Ö": 146, + "Ö": 402, + "×": 147, + "×": 403, + "Ø": 148, + "Ø": 404, + "ا": 6042, + "ا": 22625, + "اØ": 13189, + "ار": 40137, + "اÙ": 8453, + "اÙĦ": 12973, + "اÙħ": 47626, + "اÙĨ": 42773, + "اÙĨ": 33200, + "ب": 16378, + "ب": 35330, + "Ø©": 20915, + "ت": 18197, + "ت": 44333, + "ج": 26375, + "Ø®": 41495, + "د": 19872, + "د": 35566, + "ر": 10948, + "ر": 24933, + "رÙĬ": 43273, + "ز": 36169, + "س": 17856, + "Ø´": 28770, + "ص": 27271, + "Ø·": 32050, + "ع": 18843, + "غ": 48510, + "ØŃ": 25722, + "Ù": 149, + "Ù": 405, + "Ùģ": 24112, + "ÙĤ": 27585, + "Ùĥ": 33499, + "ÙĦ": 14251, + "ÙĦ": 37899, + "Ùħ": 12986, + "Ùħ": 29945, + "ÙĨ": 16655, + "ÙĨ": 25386, + "Ùĩ": 34274, + "Ùĩ": 31343, + "ÙĪ": 12203, + "ÙĪ": 38310, + "ÙĪر": 48242, + "ÙĬ": 12046, + "ÙĬ": 23853, + "Ú": 150, + "Ú": 406, + "Ú©": 26475, + "Û": 151, + "Û": 407, + "Ûģ": 40480, + "ÛĮ": 21452, + "ÛĮ": 32703, + "Ü": 152, + "Ü": 408, + "Ý": 153, + "Ý": 409, + "Þ": 154, + "Þ": 410, + "ß": 155, + "ß": 411, + "à": 156, + "à": 412, + "à¤": 3124, + "त": 27263, + "द": 29552, + "न": 26090, + "प": 44149, + "ब": 43599, + "म": 48254, + "म": 26774, + "य": 37299, + "र": 39136, + "र": 19052, + "ल": 30881, + "व": 39545, + "श": 43181, + "स": 28505, + "ह": 29446, + "ा": 37973, + "ा": 13343, + "ि": 26721, + "à¤Ĥ": 30833, + "à¤ķ": 22067, + "à¤Ĺ": 42598, + "à¤ľ": 39561, + "à¥": 7410, + "à¥Ģ": 45791, + "à¥Ģ": 25751, + "à¥ģ": 39653, + "à¥ĩ": 48612, + "à¥ĩ": 25130, + "à¥ĭ": 34452, + "à¥į": 19389, + "à¦": 11322, + "া": 41532, + "à§": 26339, + "à¨": 15741, + "à©": 32086, + "àª": 22990, + "à«": 48347, + "à¬": 32791, + "à®": 6022, + "த": 34691, + "ன": 43394, + "ப": 47388, + "à®®": 35463, + "à®°": 43270, + "ல": 47705, + "ா": 32831, + "ி": 27126, + "à®ķ": 36168, + "à®Ł": 45263, + "à¯": 11259, + "à¯ģ": 33115, + "à¯į": 16631, + "à°": 12100, + "à±": 23550, + "à±į": 46098, + "à²": 9992, + "ಿ": 47797, + "à³": 20745, + "à³į": 36148, + "à´": 15418, + "àµ": 27392, + "àµį": 45266, + "à¶": 29881, + "à·": 30766, + "à¸": 1777, + "ม": 26137, + "ม": 29570, + "ย": 27241, + "ย": 33091, + "ร": 32225, + "ร": 27331, + "ล": 34696, + "ล": 32746, + "ว": 26990, + "ว": 30245, + "ส": 37883, + "ส": 35737, + "ห": 33064, + "ะ": 43920, + "ะ": 49234, + "ั": 14978, + "า": 11529, + "า": 38476, + "าà¸": 12330, + "ิ": 17092, + "ี": 22421, + "ี": 20278, + "ีà¹Ī": 31511, + "ื": 47991, + "ุ": 30524, + "ู": 35273, + "à¸ģ": 30767, + "à¸ģà¸": 31474, + "à¸Ħ": 31757, + "à¸Ħà¸": 39628, + "à¸ĩ": 24603, + "à¸ĩ": 33382, + "à¸Ī": 47608, + "à¸Ĭ": 46324, + "à¸Ķ": 31107, + "à¸Ķ": 38825, + "à¸ķ": 40273, + "à¸ķ": 41108, + "à¸Ĺ": 36171, + "à¸Ļ": 17474, + "à¸Ļ": 17639, + "à¸Ļà¸": 23121, + "à¸ļ": 33859, + "à¸ļ": 39616, + "à¸ŀ": 48171, + "à¸Ń": 13398, + "à¸Ń": 32818, + "à¸Ńà¸": 14649, + "à¸Ńà¸ĩ": 46622, + "à¹": 4484, + "à¹Ģ": 13729, + "à¹Ģà¸": 14076, + "à¹ģà¸": 23916, + "à¹Ĥ": 33118, + "à¹ĥ": 40962, + "à¹Ħà¸": 31718, + "à¹ĩ": 38699, + "à¹Ī": 11722, + "à¹ī": 13123, + "à¹Į": 28353, + "à¼": 46186, + "à½": 39219, + "á": 157, + "á": 413, + "á´": 19036, + "áµ": 17330, + "áĢ": 45932, + "áĥ": 24829, + "áĥ¦": 32193, + "â": 158, + "â": 414, + "â¤": 25087, + "⤵ï¸ı": 36026, + "â¬": 7930, + "â¬ħï¸ı": 42111, + "â¬Ĩ": 27718, + "â¬Ĩï¸ı": 32798, + "â¬ĩ": 10917, + "â¬ĩ": 39370, + "â¬ĩï¸ı": 25621, + "â¬ĩï¸ı": 13984, + "â¬ĩï¸ıâ¬ĩï¸ı": 40159, + "âĢ": 728, + "âĢ¢": 9485, + "âĢ¢": 2701, + "âĢ¢âĢ¢": 15006, + "âĢ¢âĢ¢": 47575, + "âĢ¢âĢ¢âĢ¢âĢ¢": 27502, + "âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢âĢ¢": 48630, + "âĢ¦": 7095, + "âĢ¦\"": 20215, + "âĢ¦..": 47779, + "âĢ¦.": 18615, + "âĢ¦/": 29842, + "âĢ¦": 959, + "âĢ¦âĢ¦": 40066, + "âĢ²": 32633, + "âĢ³": 25061, + "âĢ¼": 6578, + "âĢ¼ï¸ı": 15622, + "âĢ¼ï¸ı": 8310, + "âĢ¼ï¸ıâĢ¼ï¸ı": 33218, + "âĢĭ": 17086, + "âĢĭ": 9844, + "âĢį": 4244, + "âĢįâĻ": 5177, + "âĢįâĻĢï¸ı": 18897, + "âĢįâĻĢï¸ı": 9605, + "âĢįâĻĤ": 8832, + "âĢįâĻĤï¸ı": 21779, + "âĢįâĻĤï¸ı": 10613, + "âĢİ": 31001, + "âĢIJ": 34512, + "âĢĵ": 21070, + "âĢĵ": 1224, + "âĢĶ": 6718, + "âĢĶ": 2005, + "âĢĶ>": 26341, + "âĢĶ@": 28470, + "âĢĶâĢĶ": 10037, + "âĢĶâĢĶ": 44800, + "âĢĶâĢĶâĢĶâĢĶ": 17797, + "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ": 34432, + "âĢķ": 14236, + "âģ": 1667, + "âģ£": 31089, + "âģ£": 16845, + "âģ¦": 2773, + "âģ¦": 34855, + "âģ¦@": 2859, + "âģ¦âģ¦@": 27783, + "âģ©": 20097, + "âģ©,": 48749, + "âģ©.": 35777, + "âģ©": 2918, + "âģīï¸ı": 46534, + "âģł": 23881, + "âģł": 13503, + "âģłâģł": 33488, + "âĤ": 5227, + "âĤ¬": 34919, + "âĤ¬": 6309, + "âĤ¹": 21777, + "âĥ": 2805, + "âĥ£": 11250, + "âĥ£": 3076, + "âĥ£@": 48291, + "âĦ": 8604, + "âĦ¢": 29438, + "âĦ¢": 11675, + "âĦ¹": 45462, + "âĨ": 6059, + "âĨĴ": 7481, + "âĨĵ": 41603, + "âĩ": 27228, + "âĪ": 17788, + "âī": 22684, + "âīĪ": 45451, + "âĮ": 17848, + "âĮļ": 31301, + "âĮļï¸ı": 35931, + "âı": 7960, + "âı©": 40847, + "âı°": 12714, + "âı±": 33149, + "âı³": 47617, + "âĵ": 27400, + "âĶ": 13389, + "âĶĢ": 45139, + "âĶģ": 42022, + "âķ": 17027, + "âķIJ": 48039, + "âĸ": 4168, + "âĸª": 21203, + "âĸª": 36628, + "âĸªï¸ı": 24974, + "âĸ«": 39478, + "âĸ¬": 33798, + "âĸ¬âĸ¬": 36975, + "âĸ¶": 12509, + "âĸ¶": 21126, + "âĸ¶ï¸ı": 14442, + "âĸº": 46061, + "âĸº": 12086, + "âĸ½": 45634, + "âĸł": 36791, + "âĹ": 9323, + "âĹĨ": 48961, + "âĹı": 26999, + "âĺ": 1741, + "âĺ®": 45851, + "âĺ¹": 28811, + "âĺ¹ï¸ı": 39605, + "âĺº": 5010, + "âĺº": 8703, + "âĺºâĺº": 46051, + "âĺºï¸ı": 11506, + "âĺºï¸ı": 7779, + "âĺºï¸ıâĺºï¸ı": 41315, + "âĺ¼": 38877, + "âĺĢ": 32146, + "âĺĢ": 22242, + "âĺĢï¸ı": 12817, + "âĺĢï¸ı": 8219, + "âĺĢï¸ıâĺĢï¸ı": 44550, + "âĺģ": 25195, + "âĺģï¸ı": 35197, + "âĺĥ": 38972, + "âĺħ": 9339, + "âĺħ": 10643, + "âĺħâĺħ": 12681, + "âĺħâĺħ": 36644, + "âĺħâĺħâĺħâĺħ": 34431, + "âĺħâĺħâĺħâĺħ": 44034, + "âĺħâĺħâĺħâĺħâĺħ": 45984, + "âĺĨ": 23941, + "âĺĨ": 13439, + "âĺİ": 24045, + "âĺİ": 45493, + "âĺİï¸ı": 27219, + "âĺij": 20983, + "âĺij": 42300, + "âĺijï¸ı": 22291, + "âĺĶï¸ı": 31238, + "âĺķ": 11454, + "âĺķ": 26561, + "âĺķï¸ı": 25839, + "âĺķï¸ı": 15499, + "âĺĺ": 23483, + "âĺĺï¸ı": 31454, + "âĺĿ": 21982, + "âĺĿï¸ı": 38891, + "âĺŀ": 31255, + "âĺłï¸ı": 34672, + "âĻ": 1548, + "âĻ¡": 11091, + "âĻ¡": 6251, + "âĻ¡âĻ¡": 22360, + "âĻ¡âĻ¡": 34267, + "âĻ¡âĻ¡âĻ¡": 36611, + "âĻ¤": 47435, + "âĻ¥": 4622, + "âĻ¥": 3405, + "âĻ¥âĻ¥": 12975, + "âĻ¥âĻ¥": 19604, + "âĻ¥âĻ¥âĻ¥": 23255, + "âĻ¥âĻ¥âĻ¥âĻ¥": 49020, + "âĻ¥ï¸ı": 17774, + "âĻ¥ï¸ı": 10561, + "âĻ¥ï¸ıâĻ¥ï¸ı": 40309, + "âĻ¦": 32376, + "âĻ¦": 47547, + "âĻ©": 30339, + "âĻ©âĻ«": 31636, + "âĻª": 27364, + "âĻª": 12382, + "âĻ«": 39217, + "âĻ«": 10814, + "âĻ¬": 24753, + "âĻ»": 39611, + "âĻ»ï¸ı": 46075, + "âļ": 2234, + "âļ¡": 40098, + "âļ¡": 20712, + "âļ¡ï¸ı": 19500, + "âļ¡ï¸ı": 11605, + "âļ¡ï¸ıâļ¡ï¸ı": 45922, + "âļª": 11922, + "âļª": 36373, + "âļªï¸ı": 22251, + "âļªï¸ı": 17885, + "âļ«": 15374, + "âļ«ï¸ı": 26529, + "âļ«ï¸ı": 24649, + "âļ½": 4867, + "âļ½": 13173, + "âļ½âļ½": 43259, + "âļ½ï¸ı": 11342, + "âļ½ï¸ı": 6768, + "âļ½ï¸ıâļ½ï¸ı": 30358, + "âļ½ï¸ıâļ½ï¸ı": 44148, + "âļ¾": 11314, + "âļ¾": 34717, + "âļ¾ï¸ı": 24727, + "âļ¾ï¸ı": 14858, + "âļĵ": 23522, + "âļĵï¸ı": 35299, + "âļĶï¸ı": 29361, + "âļľ": 47491, + "âļł": 39203, + "âļłï¸ı": 40966, + "âļłï¸ı": 15596, + "âĽ": 7956, + "âĽ³ï¸ı": 29204, + "âĽĦ": 30668, + "âĽĦï¸ı": 45465, + "âľ": 1508, + "⾨": 7181, + "⾨": 3531, + "⾨⾨": 35174, + "⾨⾨": 21985, + "⾨⾨⾨": 39424, + "âľĤ": 38602, + "âľħ": 29544, + "âľħ": 5564, + "âľĪ": 10682, + "âľĪ": 30712, + "âľĪï¸ı": 26176, + "âľĪï¸ı": 13413, + "âľĬ": 12392, + "âľĬ": 17819, + "âľĬðŁı½": 48547, + "âľĬðŁı¾": 41185, + "âľĭ": 39383, + "âľĭ": 30239, + "âľĮ": 6419, + "âľĮ": 12656, + "âľĮï¸ı": 21906, + "âľĮï¸ı": 12239, + "âľĮðŁı»": 30538, + "âľĮðŁı¼": 30588, + "âľį": 20872, + "âľįï¸ı": 30888, + "âľı": 32574, + "âľıï¸ı": 40724, + "âľĵ": 36700, + "âľĶ": 47200, + "âľĶ": 13749, + "âľĶï¸ı": 40544, + "âľĶï¸ı": 9191, + "âľĸï¸ı": 44133, + "âľĿ": 42220, + "âĿ": 1045, + "âĿ£": 37007, + "âĿ£": 25623, + "âĿ£ï¸ı": 25240, + "âĿ¤": 1266, + "âĿ¤": 2720, + "âĿ¤âĿ¤": 9033, + "âĿ¤âĿ¤": 14058, + "âĿ¤âĿ¤âĿ¤": 16708, + "âĿ¤âĿ¤âĿ¤âĿ¤": 37918, + "âĿ¤âĿ¤âĿ¤âĿ¤": 43970, + "âĿ¤ï¸ı": 2626, + "âĿ¤ï¸ı#": 30281, + "âĿ¤ï¸ı.": 45326, + "âĿ¤ï¸ı": 1752, + "âĿ¤ï¸ı@": 31187, + "âĿ¤ï¸ıâĿ¤ï¸ı": 6713, + "âĿ¤ï¸ıâĿ¤ï¸ı": 10363, + "âĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ı": 12282, + "âĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ı": 39167, + "âĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ıâĿ¤ï¸ı": 29880, + "âĿ¤ï¸ıðŁĴĻ": 37380, + "âĿ¤ï¸ıðŁĺį": 37272, + "âĿ¤ï¸ıðŁĺĺ": 41800, + "âĿ¤ðŁĺį": 49120, + "âĿ¥": 36914, + "âĿĦ": 8501, + "âĿĦ": 30494, + "âĿĦï¸ı": 16834, + "âĿĦï¸ı": 12402, + "âĿĦï¸ıâĿĦï¸ı": 41626, + "âĿĮ": 44485, + "âĿĮ": 17975, + "âĿĵ": 29791, + "âĿĹ": 12868, + "âĿĹ": 29079, + "âĿĹï¸ı": 28642, + "âĿĹï¸ı": 17391, + "âĿĿ": 46951, + "âŀ": 3257, + "âŀ¡": 12854, + "âŀ¡ï¸ı": 31860, + "âŀ¡ï¸ı": 4956, + "âŀ¤": 18651, + "âŀķ": 46526, + "âŀĸ": 21327, + "âŀĸ": 34902, + "âŀĸâŀĸ": 23316, + "âŀĸâŀĸâŀĸâŀĸ": 40401, + "âŀľ": 23775, + "âł": 5689, + "âłĢ": 9691, + "âłĢ": 8621, + "âłĢâłĢ": 11466, + "âłĢâłĢ": 39092, + "âłĢâłĢâłĢâłĢ": 20976, + "âłĢâłĢâłĢâłĢâłĢâłĢâłĢâłĢ": 46063, + "âŃ": 5527, + "âŃIJ": 6410, + "âŃIJ": 19012, + "âŃIJâŃIJ": 32663, + "âŃIJï¸ı": 12427, + "âŃIJï¸ı": 10251, + "âŃIJï¸ıâŃIJï¸ı": 18640, + "âŃIJï¸ıâŃIJï¸ıâŃIJï¸ı": 40746, + "ã": 159, + "ã": 415, + "ãĢ": 4092, + "ãĢģ": 45262, + "ãĢĤ": 38060, + "ãĢĤ": 38000, + "ãĢĬ": 39920, + "ãĢĭ": 32898, + "ãĢĮ": 18116, + "ãĢį": 19149, + "ãĢİ": 26947, + "ãĢı": 30293, + "ãĢIJ": 12534, + "ãĢij": 12990, + "ãĢľ": 39581, + "ãģ": 4813, + "ãģ¦": 48029, + "ãģ¨": 34671, + "ãģ¨ç¹ĭãģ": 47310, + "ãģ¨ç¹ĭãģĮãĤĬãģŁãģĦ": 48290, + "ãģª": 29104, + "ãģ®": 21575, + "ãģ·": 44130, + "ãģĦ": 33523, + "ãģĦ": 38850, + "ãģĨ": 44235, + "ãģį": 42184, + "ãĤ": 3909, + "ãĤ¢": 26560, + "ãĤ¤": 19319, + "ãĤ¤ãĥ": 36294, + "ãĤ«": 37367, + "ãĤ¯": 31574, + "ãĤ·": 37665, + "ãĤ¸": 32234, + "ãĤ¸ãĥ": 43491, + "ãĤ¹": 22694, + "ãĤ¹": 39220, + "ãĤ¹ãĥ": 32421, + "ãĤ¿": 34941, + "ãĤĬãģ": 40500, + "ãĤĮ": 45211, + "ãĤŃ": 47121, + "ãĥ": 2429, + "ãĥ©": 23007, + "ãĥª": 32115, + "ãĥ«": 33257, + "ãĥ¬": 32965, + "ãĥ³": 17671, + "ãĥ³": 26875, + "ãĥ³ãĤ": 45105, + "ãĥ³ãĥ": 25914, + "ãĥ»": 8415, + "ãĥ»": 11158, + "ãĥ»ãĥ»": 13949, + "ãĥ»ãĥ»ãĥ»": 14234, + "ãĥ¼": 13457, + "ãĥ¼": 30391, + "ãĥ¼ãĥ": 18584, + "ãĥĥ": 28902, + "ãĥĦ": 32173, + "ãĥĪ": 42384, + "ãĥİ": 39967, + "ãĥķãĤ": 33371, + "ãĥŀ": 48924, + "ãĥŃ": 35827, + "ãħ": 5947, + "ãħ¤": 21096, + "ãħ¤ãħ¤": 22583, + "ãħ¤ãħ¤ãħ¤ãħ¤": 39329, + "ãħĭ": 13052, + "ãħĭ": 25108, + "ãħĭãħĭ": 16604, + "ãħĭãħĭ": 42581, + "ãħĭãħĭãħĭ": 46407, + "ãħĭãħĭãħĭãħĭ": 39362, + "ãħł": 16089, + "ãħł": 25781, + "ãħłãħł": 22021, + "ãħłãħł": 34398, + "ãħłãħłãħłãħł": 47028, + "ä": 160, + "ä": 416, + "ä¸": 19759, + "ä¹": 41854, + "äº": 21078, + "人": 36839, + "ä»": 37743, + "ä½": 47466, + "å": 161, + "å": 417, + "å¤": 23170, + "å¥": 29290, + "å®": 27047, + "å°": 34720, + "å±": 46096, + "å¸": 42021, + "å¹": 38780, + "åħ": 34314, + "åĨ": 27972, + "åĨĻ": 44653, + "åĪ": 42748, + "åĭ": 47505, + "åı": 34517, + "åIJ": 41673, + "åĽ": 39027, + "åľ": 37746, + "åŃ": 35751, + "æ": 162, + "æ": 418, + "æĸ": 29032, + "æĹ": 22265, + "æĹ¥": 39121, + "æĹ¥": 37156, + "æĺ": 42891, + "æĻ": 48132, + "æľ": 19277, + "æľ¬": 44353, + "æĿ": 27667, + "æĿ±": 48338, + "ç": 163, + "ç": 419, + "ç¥": 26369, + "ç¥Ń": 42557, + "çµ": 37810, + "ç¹": 43431, + "ç¹ĭãģ": 45930, + "çĶ": 20211, + "çĶŁ": 33375, + "çľ": 33440, + "羣": 41570, + "è": 164, + "è": 420, + "èª": 34002, + "èªķ": 41293, + "é": 165, + "é": 421, + "éģ": 44854, + "éĩ": 38283, + "ê": 166, + "ê": 422, + "ê°": 21122, + "ê°ĵ": 41076, + "ê°ĵìĦ¸ë¸IJ": 41689, + "ê°ķ": 45758, + "ê²": 35555, + "ê³": 36216, + "êµ": 31871, + "ê·": 42680, + "ê¸": 32495, + "ê¹": 24531, + "ê¹Ģ": 25203, + "ë": 167, + "ë": 423, + "ë¦": 24621, + "리": 47649, + "ë§": 28024, + "ë§Ī": 40027, + "ëª": 36311, + "ë¯": 19528, + "민": 34442, + "민": 44632, + "ë°": 15810, + "ë°©": 23273, + "ë°©íĥ": 25081, + "ë°©íĥĦ": 25641, + "ë°©íĥĦìĨĮëħĦëĭ": 26068, + "ë°©íĥĦìĨĮëħĦëĭ¨": 27129, + "ë°ķ": 40988, + "ë²": 48267, + "ë³": 44693, + "ë¹": 24193, + "ëĤ": 27252, + "ëĤĺ": 48484, + "ëĭ": 13094, + "ëĭ¤": 46680, + "ëĭĪ": 33708, + "ëį": 45543, + "ëı": 31972, + "ëĵ": 30850, + "ëĿ": 44317, + "ì": 168, + "ì": 424, + "ì£": 39856, + "주": 45161, + "ì¤": 31153, + "ì§": 16279, + "ì§Ģ": 28836, + "ì§Ħ": 38890, + "ì°": 40742, + "ì¶": 42476, + "ì¶ķ": 46403, + "ì¶ķíķĺ": 47866, + "ì¹": 45088, + "ìĤ": 31061, + "ìĥ": 30587, + "ìĥĿ": 47858, + "ìĦ": 15074, + "ìĦ¸ë": 29254, + "ìĦ¸ë¸": 29658, + "ìĦ¸ë¸IJ": 41415, + "ìĨ": 15115, + "ìĨĮë": 20515, + "ìĨĮëħ": 21391, + "ìĨĮëħĦëĭ": 25887, + "ìĪ": 32757, + "ìĬ": 12125, + "ìĬ¤": 20305, + "ìĬ¤": 23829, + "ìĭ": 23924, + "ìķ": 16071, + "ìķĦ": 23233, + "ìĸ": 31625, + "ìĹ": 13252, + "ìĹIJ": 37622, + "ìĹij": 31036, + "ìĹijìĨ": 42763, + "ìĹijìĨĮ": 45606, + "ìĺ": 21144, + "ìĻ": 39405, + "ìļ": 18541, + "ìļ°": 38415, + "ìļ°": 49344, + "ìĽ": 22543, + "ìĽIJ": 36495, + "ìľ": 20909, + "ìľł": 42890, + "ìĿ": 8276, + "ìĿ´": 12286, + "ìĿ´": 34746, + "ìĿ´ì": 37590, + "ìĿ¼": 43406, + "ìŀ": 20849, + "ìł": 20580, + "ìłķ": 34725, + "í": 169, + "í": 425, + "íģ": 35641, + "íģ¬": 45832, + "íĤ": 43565, + "íĥ": 15012, + "íĥĢ": 41126, + "íĥľ": 37663, + "íĬ": 23215, + "íĬ¸": 48974, + "íĬ¸": 39820, + "íĭ": 34350, + "íĶ": 29450, + "íķ": 15197, + "íķ´": 35286, + "íķĺ": 33992, + "íĺ": 15962, + "íĺ¸": 39657, + "íĺĦ": 34645, + "íĻ": 31882, + "î": 170, + "î": 426, + "îĢ": 36288, + "îĦ": 35368, + "îĮ": 41006, + "îIJ": 16929, + "îIJĴ": 40100, + "ï": 171, + "ï": 427, + "ï¸": 842, + "ï¸İ": 24029, + "ï¸ı": 1392, + "ï¸ı#": 46997, + "ï¸ı:": 32604, + "ï¸ı": 1001, + "ï¸ı@": 34600, + "ï¸ıâĥ£": 17394, + "ï¸ıâĥ£-": 40376, + "ï¸ıâĥ£": 4603, + "ï¿": 27850, + "�": 47356, + "�": 39802, + "ð": 172, + "ð": 428, + "ðĿ": 6874, + "ðĿIJ": 15889, + "ðĿij": 43794, + "ðĿĴ": 43387, + "ðĿĵ": 47110, + "ðĿĹ": 18865, + "ðĿĺ": 26109, + "ðĿĻ": 29415, + "ðŁ": 558, + "ðŁ¤": 1793, + "ðŁ¤£": 9665, + "ðŁ¤£": 9909, + "ðŁ¤£ðŁ¤£": 16430, + "ðŁ¤£ðŁ¤£": 31009, + "ðŁ¤£ðŁ¤£ðŁ¤£": 32262, + "ðŁ¤¤": 39550, + "ðŁ¤¤": 26759, + "ðŁ¤¦": 17186, + "ðŁ¤§": 40983, + "ðŁ¤©": 27351, + "ðŁ¤©": 16074, + "ðŁ¤ª": 44230, + "ðŁ¤ª": 24920, + "ðŁ¤«": 47671, + "ðŁ¤¯": 37595, + "ðŁ¤·": 13185, + "ðŁ¤·ðŁı»âĢįâĻĢï¸ı": 46770, + "ðŁ¤ij": 34801, + "ðŁ¤ĵ": 36580, + "ðŁ¤ĵ": 18928, + "ðŁ¤Ķ": 12706, + "ðŁ¤Ķ": 6497, + "ðŁ¤ĶðŁ¤Ķ": 28490, + "ðŁ¤ĶðŁ¤ĶðŁ¤Ķ": 43361, + "ðŁ¤ĸ": 46146, + "ðŁ¤Ĺ": 16646, + "ðŁ¤Ĺ": 10465, + "ðŁ¤ĹðŁ¤Ĺ": 44321, + "ðŁ¤ĺ": 10623, + "ðŁ¤ĺ": 17288, + "ðŁ¤ĺðŁı»": 46449, + "ðŁ¤ĺðŁı»": 30891, + "ðŁ¤ĺðŁı¼": 31458, + "ðŁ¤ĺðŁı½": 49362, + "ðŁ¤Ļ": 23800, + "ðŁ¤Ļ": 39101, + "ðŁ¤Ŀ": 35242, + "ðŁ¤ŀ": 29463, + "ðŁ¤ŀ": 38597, + "ðŁ¤Ł": 48509, + "ðŁ¤ł": 36737, + "ðŁ¤Ń": 47289, + "ðŁ¥": 4156, + "ðŁ¥°": 29246, + "ðŁ¥°": 17597, + "ðŁ¥³": 45823, + "ðŁ¥³": 28055, + "ðŁ¥º": 43380, + "ðŁ¥º": 36858, + "ðŁ¥Ĥ": 43805, + "ðŁ¥Ĥ": 25212, + "ðŁ¥ĥ": 47790, + "ðŁ¥ĩ": 34372, + "ðŁ¥ĩ": 20069, + "ðŁ¥Ī": 35858, + "ðŁ¥ī": 36782, + "ðŁ¥Ĭ": 29275, + "ðŁ¦": 6040, + "ðŁ¦ģ": 36367, + "ðŁ¦ģ": 26056, + "ðŁ¦ĥ": 40184, + "ðŁ¦Ħ": 37659, + "ðŁ¦ħ": 28800, + "ðŁ¦Ī": 48984, + "ðŁ¦ĭ": 49325, + "ðŁ¦ĭ": 28985, + "ðŁ§": 8792, + "ðŁ§¡": 30996, + "ðŁ§¡": 24578, + "ðŁ§IJ": 33549, + "ðŁħ": 22010, + "ðŁĨ": 9536, + "ðŁĨķ": 34956, + "ðŁĨĺ": 39868, + "ðŁĨļ": 16325, + "ðŁĩ": 1173, + "ðŁĩ¦": 12469, + "ðŁĩ¦": 28565, + "ðŁĩ¦ðŁĩ": 33196, + "ðŁĩ¦ðŁĩ·": 41629, + "ðŁĩ¦ðŁĩº": 25192, + "ðŁĩ§": 14660, + "ðŁĩ§ðŁĩ": 37342, + "ðŁĩ§ðŁĩª": 38794, + "ðŁĩ§ðŁĩ·": 28182, + "ðŁĩ¨": 8889, + "ðŁĩ¨ðŁĩ": 8989, + "ðŁĩ¨ðŁĩ¦": 34324, + "ðŁĩ¨ðŁĩ¦": 16364, + "ðŁĩ¨ðŁĩ³": 36819, + "ðŁĩ¨ðŁĩŃ": 41119, + "ðŁĩ©": 15222, + "ðŁĩ©ðŁĩ": 36350, + "ðŁĩ©ðŁĩª": 21531, + "ðŁĩª": 11428, + "ðŁĩª": 12331, + "ðŁĩªðŁĩ": 13917, + "ðŁĩªðŁĩ¸": 22177, + "ðŁĩªðŁĩº": 34655, + "ðŁĩ«": 12977, + "ðŁĩ«ðŁĩ·": 39109, + "ðŁĩ«ðŁĩ·": 16223, + "ðŁĩ¬": 8129, + "ðŁĩ¬ðŁĩ": 8354, + "ðŁĩ¬ðŁĩ§": 23762, + "ðŁĩ¬ðŁĩ§": 11559, + "ðŁĩ®": 8268, + "ðŁĩ®ðŁĩ": 8347, + "ðŁĩ®ðŁĩª": 34148, + "ðŁĩ®ðŁĩ³": 47299, + "ðŁĩ®ðŁĩ³": 23602, + "ðŁĩ®ðŁĩ¹": 42034, + "ðŁĩ®ðŁĩ¹": 17070, + "ðŁĩ¯": 20090, + "ðŁĩ¯ðŁĩ": 22924, + "ðŁĩ¯ðŁĩµ": 26527, + "ðŁĩ°": 28232, + "ðŁĩ±": 29533, + "ðŁĩ±ðŁĩ": 40941, + "ðŁĩ²": 16411, + "ðŁĩ²ðŁĩ": 17562, + "ðŁĩ²ðŁĩ½": 32073, + "ðŁĩ³": 16645, + "ðŁĩ³ðŁĩ": 17747, + "ðŁĩ³ðŁĩ±": 36747, + "ðŁĩµ": 12127, + "ðŁĩµðŁĩ": 13608, + "ðŁĩµðŁĩ°": 37764, + "ðŁĩµðŁĩ¹": 42621, + "ðŁĩµðŁĩŃ": 42777, + "ðŁĩ·": 16026, + "ðŁĩ·": 9869, + "ðŁĩ·ðŁĩº": 37902, + "ðŁĩ¸": 19447, + "ðŁĩ¸ðŁĩ": 33325, + "ðŁĩ¸ðŁĩª": 39260, + "ðŁĩ¹": 21810, + "ðŁĩ¹ðŁĩ": 36250, + "ðŁĩº": 4054, + "ðŁĩº": 17467, + "ðŁĩºðŁĩ": 4131, + "ðŁĩºðŁĩ¸": 8907, + "ðŁĩºðŁĩ¸": 5688, + "ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸": 18739, + "ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸": 41411, + "ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸ðŁĩºðŁĩ¸": 43357, + "ðŁĩ¿": 25520, + "ðŁĩ¿ðŁĩ¦": 36982, + "ðŁĩŃ": 30370, + "ðŁĮ": 1576, + "ðŁĮ±": 35318, + "ðŁĮ±": 20665, + "ðŁĮ²": 34071, + "ðŁĮ²": 28154, + "ðŁĮ³": 44265, + "ðŁĮ³": 28543, + "ðŁĮ´": 20643, + "ðŁĮ´": 15968, + "ðŁĮµ": 40871, + "ðŁĮ·": 32328, + "ðŁĮ·": 24259, + "ðŁĮ¸": 16314, + "ðŁĮ¸": 10980, + "ðŁĮ¸ðŁĮ¸": 46210, + "ðŁĮ¹": 14990, + "ðŁĮ¹": 10662, + "ðŁĮ¹ðŁĮ¹": 37933, + "ðŁĮº": 27608, + "ðŁĮº": 19829, + "ðŁĮ»": 27196, + "ðŁĮ»": 19772, + "ðŁĮ¼": 36484, + "ðŁĮ¼": 26312, + "ðŁĮ¾": 39796, + "ðŁĮ¿": 27736, + "ðŁĮ¿": 18588, + "ðŁĮĢ": 34348, + "ðŁĮħ": 27547, + "ðŁĮĪ": 23038, + "ðŁĮĪ": 13042, + "ðŁĮĬ": 20465, + "ðŁĮĬ": 14302, + "ðŁĮĮ": 43393, + "ðŁĮį": 34931, + "ðŁĮį": 18641, + "ðŁĮİ": 31125, + "ðŁĮİ": 16969, + "ðŁĮı": 31527, + "ðŁĮIJ": 33071, + "ðŁĮĻ": 42330, + "ðŁĮĻ": 23283, + "ðŁĮļ": 49004, + "ðŁĮļ": 27877, + "ðŁĮŀ": 21152, + "ðŁĮŀ": 12980, + "ðŁĮŁ": 13196, + "ðŁĮŁ": 8542, + "ðŁĮŁðŁĮŁ": 26014, + "ðŁį": 2011, + "ðŁį¦": 47375, + "ðŁį¦": 32032, + "ðŁį©": 38379, + "ðŁįª": 38958, + "ðŁį«": 47994, + "ðŁį«": 33401, + "ðŁį°": 43732, + "ðŁį°": 30051, + "ðŁį³": 37441, + "ðŁį´": 41531, + "ðŁį´": 25338, + "ðŁį·": 24445, + "ðŁį·": 18072, + "ðŁį¸": 43058, + "ðŁį¸": 31217, + "ðŁį¹": 35598, + "ðŁįº": 31081, + "ðŁįº": 21590, + "ðŁį»": 22793, + "ðŁį»": 13167, + "ðŁį¾": 27294, + "ðŁį¾": 21656, + "ðŁįĢ": 22865, + "ðŁįĢ": 15764, + "ðŁįģ": 29837, + "ðŁįģ": 23075, + "ðŁįĤ": 35015, + "ðŁįĤ": 25721, + "ðŁįĥ": 27157, + "ðŁįĥ": 20147, + "ðŁįĩ": 48697, + "ðŁįĬ": 35001, + "ðŁįĬ": 28036, + "ðŁįĭ": 39543, + "ðŁįĮ": 44987, + "ðŁįį": 48946, + "ðŁįİ": 32069, + "ðŁįij": 32889, + "ðŁįĴ": 33160, + "ðŁįĵ": 44739, + "ðŁįĵ": 33456, + "ðŁįĶ": 46415, + "ðŁįĶ": 36031, + "ðŁįķ": 31469, + "ðŁįķ": 23904, + "ðŁįŃ": 42100, + "ðŁİ": 1165, + "ðŁİ£": 43158, + "ðŁİ¤": 23490, + "ðŁİ¤": 15690, + "ðŁİ¥": 22186, + "ðŁİ¥:": 43640, + "ðŁİ¥": 13233, + "ðŁİ§": 31254, + "ðŁİ§": 14266, + "ðŁİ¨": 31953, + "ðŁİ¨": 13461, + "ðŁİ©": 37701, + "ðŁİ«": 30331, + "ðŁİ¬": 36020, + "ðŁİ¬": 18150, + "ðŁİ®": 29312, + "ðŁİ¯": 23114, + "ðŁİµ": 27435, + "ðŁİµ": 14946, + "ðŁİ¶": 11755, + "ðŁİ¶": 6011, + "ðŁİ¶ðŁİ¶": 36283, + "ðŁİ¸": 29135, + "ðŁİ¸": 22122, + "ðŁİ¹": 43493, + "ðŁİ¼": 34949, + "ðŁİ¼": 23757, + "ðŁİ¾": 41982, + "ðŁİ¾": 24222, + "ðŁİĢ": 34347, + "ðŁİĢ": 20151, + "ðŁİģ": 18368, + "ðŁİģ": 13462, + "ðŁİĤ": 13026, + "ðŁİĤ": 10392, + "ðŁİĤðŁİĤ": 39338, + "ðŁİĥ": 22622, + "ðŁİĥ": 16780, + "ðŁİĦ": 12942, + "ðŁİĦ": 11267, + "ðŁİħ": 17685, + "ðŁİħ": 24276, + "ðŁİĨ": 39222, + "ðŁİĪ": 16142, + "ðŁİĪ": 14448, + "ðŁİĪðŁİī": 48049, + "ðŁİī": 4310, + "ðŁİī:": 17310, + "ðŁİī": 3986, + "ðŁİīðŁİ": 11473, + "ðŁİīðŁİĪ": 40499, + "ðŁİīðŁİĪ": 34008, + "ðŁİīðŁİī": 25159, + "ðŁİīðŁİī": 13450, + "ðŁİīðŁİīðŁİī": 20828, + "ðŁİīðŁİĬ": 31662, + "ðŁİīðŁİĬ": 30781, + "ðŁİĬ": 22763, + "ðŁİĬ": 22425, + "ðŁİĬðŁİī": 48801, + "ðŁİĵ": 28916, + "ðŁİĵ": 18744, + "ðŁİĻ": 29001, + "ðŁİĻ": 29753, + "ðŁİĻï¸ı": 44205, + "ðŁİŁ": 19248, + "ðŁİŁ": 21107, + "ðŁİŁï¸ı": 30243, + "ðŁİŃ": 28856, + "ðŁı": 1109, + "ðŁı¡": 27318, + "ðŁı³ï¸ı": 26844, + "ðŁı³ï¸ıâĢį": 27093, + "ðŁı³ï¸ıâĢįðŁĮĪ": 32610, + "ðŁı´": 39690, + "ðŁı´": 19704, + "ðŁı»": 5042, + "ðŁı»": 3702, + "ðŁı»âĢį": 46250, + "ðŁı»âĢįâĻĢï¸ı": 48391, + "ðŁı»âĢįâĻĢï¸ı": 23595, + "ðŁı»âĢįâĻĤï¸ı": 30984, + "ðŁı¼": 6193, + "ðŁı¼": 4027, + "ðŁı¼âĢįâĻĢï¸ı": 28955, + "ðŁı½": 8514, + "ðŁı½": 6114, + "ðŁı½âĢįâĻĢï¸ı": 37036, + "ðŁı½âĢįâĻĤï¸ı": 43157, + "ðŁı¾": 10230, + "ðŁı¾": 7778, + "ðŁı¾âĢįâĻĤï¸ı": 47189, + "ðŁı¿": 29854, + "ðŁı¿": 21094, + "ðŁıĢ": 13708, + "ðŁıĢ": 8813, + "ðŁıĢðŁıĢ": 43169, + "ðŁıģ": 29423, + "ðŁıģ": 17473, + "ðŁıĥ": 16820, + "ðŁıĥ": 32751, + "ðŁıħ": 25500, + "ðŁıĨ": 9585, + "ðŁıĨ": 5596, + "ðŁıĨðŁıĨ": 18946, + "ðŁıĨðŁıĨ": 38269, + "ðŁıĨðŁıĨðŁıĨ": 44484, + "ðŁıĩ": 45789, + "ðŁıĩ": 40288, + "ðŁıĪ": 16144, + "ðŁıĪ": 10477, + "ðŁıī": 26020, + "ðŁıĬ": 33061, + "ðŁıĬ": 47830, + "ðŁıĮ": 41116, + "ðŁıı": 32460, + "ðŁıIJ": 46334, + "ðŁıIJ": 29433, + "ðŁıĴ": 37756, + "ðŁıŁ": 35914, + "ðŁıŁ": 26472, + "ðŁıŁï¸ı": 42627, + "ðŁıł": 33727, + "ðŁIJ": 2074, + "ðŁIJ¢": 37049, + "ðŁIJ£": 39597, + "ðŁIJ¥": 42981, + "ðŁIJ¦": 37260, + "ðŁIJ¬": 44238, + "ðŁIJ¯": 34825, + "ðŁIJ¯": 26111, + "ðŁIJ°": 35378, + "ðŁIJ°": 25050, + "ðŁIJ±": 35710, + "ðŁIJ±": 22979, + "ðŁIJ´": 33509, + "ðŁIJ¶": 14466, + "ðŁIJ¶": 10631, + "ðŁIJ·": 38408, + "ðŁIJ¸": 45597, + "ðŁIJ¸": 40298, + "ðŁIJº": 44281, + "ðŁIJº": 31445, + "ðŁIJ»": 30750, + "ðŁIJ»": 25322, + "ðŁIJ¼": 46234, + "ðŁIJ¾": 16057, + "ðŁIJ¾": 11317, + "ðŁIJ¾ðŁIJ¾": 42202, + "ðŁIJī": 46908, + "ðŁIJĬ": 43974, + "ðŁIJį": 48903, + "ðŁIJį": 30177, + "ðŁIJİ": 48281, + "ðŁIJİ": 32726, + "ðŁIJIJ": 47735, + "ðŁIJIJ": 27954, + "ðŁIJij": 49389, + "ðŁIJķ": 41069, + "ðŁIJĺ": 38733, + "ðŁIJĿ": 30619, + "ðŁIJĿ": 20111, + "ðŁIJŁ": 42084, + "ðŁIJŁ": 29989, + "ðŁIJł": 42725, + "ðŁij": 964, + "ðŁij£": 39755, + "ðŁij§": 48938, + "ðŁij¨": 18966, + "ðŁij¨âĢį": 25023, + "ðŁij©": 18800, + "ðŁij©âĢį": 26304, + "ðŁij«": 47106, + "ðŁij«": 35457, + "ðŁij®": 42686, + "ðŁij¯": 25910, + "ðŁij¯": 20582, + "ðŁij¶": 26187, + "ðŁij¶": 33189, + "ðŁij¸": 26268, + "ðŁij¸": 36645, + "ðŁij¹": 46766, + "ðŁij»": 24625, + "ðŁij»": 16243, + "ðŁij¼": 25270, + "ðŁij¼": 31083, + "ðŁij½": 42677, + "ðŁij½": 26257, + "ðŁijĢ": 11524, + "ðŁijĢ": 5908, + "ðŁijĢðŁijĢ": 31561, + "ðŁijģ": 47796, + "ðŁijģ": 45705, + "ðŁijĦ": 47445, + "ðŁijħ": 31833, + "ðŁijħ": 24672, + "ðŁijĨ": 42975, + "ðŁijĨ": 45194, + "ðŁijĩ": 7662, + "ðŁijĩ": 7475, + "ðŁijĩðŁı»": 45811, + "ðŁijĩðŁı»": 32813, + "ðŁijĩðŁı¼": 37504, + "ðŁijĩðŁijĩ": 17915, + "ðŁijĩðŁijĩ": 31891, + "ðŁijĩðŁijĩðŁijĩ": 35627, + "ðŁijĪ": 32794, + "ðŁijĪ": 20832, + "ðŁijī": 9477, + "ðŁijī": 3988, + "ðŁijīðŁı»": 23481, + "ðŁijīðŁı¼": 27534, + "ðŁijīðŁı½": 38059, + "ðŁijīðŁijī": 41480, + "ðŁijĬ": 8897, + "ðŁijĬ": 9704, + "ðŁijĬðŁı»": 47393, + "ðŁijĬðŁı»": 29152, + "ðŁijĬðŁı¼": 49000, + "ðŁijĬðŁı¼": 30115, + "ðŁijĬðŁijĬ": 46521, + "ðŁijĭ": 19351, + "ðŁijĭ": 17686, + "ðŁijĮ": 4890, + "ðŁijĮ": 4494, + "ðŁijĮðŁı»": 31818, + "ðŁijĮðŁı»": 18606, + "ðŁijĮðŁı¼": 37655, + "ðŁijĮðŁı¼": 20031, + "ðŁijĮðŁı½": 35834, + "ðŁijĮðŁijĮ": 36139, + "ðŁijĮðŁijĮ": 21435, + "ðŁijĮðŁijĮðŁijĮ": 40876, + "ðŁijį": 4686, + "ðŁijį": 4201, + "ðŁijįðŁı»": 25803, + "ðŁijįðŁı»": 15129, + "ðŁijįðŁı¼": 37285, + "ðŁijįðŁı¼": 19689, + "ðŁijįðŁı½": 43722, + "ðŁijįðŁijį": 33012, + "ðŁijįðŁijį": 18997, + "ðŁijįðŁijįðŁijį": 37284, + "ðŁijİ": 39702, + "ðŁijİ": 32568, + "ðŁijı": 3802, + "ðŁijı": 4829, + "ðŁijıðŁı»": 19236, + "ðŁijıðŁı»": 17029, + "ðŁijıðŁı»ðŁijıðŁı»": 35254, + "ðŁijıðŁı¼": 24496, + "ðŁijıðŁı¼": 19979, + "ðŁijıðŁı¼ðŁijıðŁı¼": 46712, + "ðŁijıðŁı½": 40796, + "ðŁijıðŁı½": 33978, + "ðŁijıðŁı¾": 45450, + "ðŁijıðŁijı": 10356, + "ðŁijıðŁijı": 16706, + "ðŁijıðŁijıðŁijı": 17254, + "ðŁijIJ": 40877, + "ðŁijij": 14955, + "ðŁijij": 8717, + "ðŁijijðŁijij": 48532, + "ðŁijķ": 47865, + "ðŁijŁ": 41183, + "ðŁijł": 41264, + "ðŁijŃ": 34175, + "ðŁijŃ": 27943, + "ðŁĴ": 837, + "ðŁĴ¡": 24081, + "ðŁĴ£": 36862, + "ðŁĴ£": 29006, + "ðŁĴ¤": 34706, + "ðŁĴ¤": 25632, + "ðŁĴ¥": 12209, + "ðŁĴ¥": 7347, + "ðŁĴ¥ðŁĴ¥": 27396, + "ðŁĴ¥ðŁĴ¥": 39246, + "ðŁĴ¥ðŁĴ¥ðŁĴ¥": 48890, + "ðŁĴ¦": 21180, + "ðŁĴ¦": 14060, + "ðŁĴ¦ðŁĴ¦": 44469, + "ðŁĴ§": 34095, + "ðŁĴ¨": 27408, + "ðŁĴ¨": 17891, + "ðŁĴ©": 48621, + "ðŁĴ©": 28847, + "ðŁĴª": 5475, + "ðŁĴª": 6440, + "ðŁĴªðŁı»": 31669, + "ðŁĴªðŁı»": 21903, + "ðŁĴªðŁı¼": 32041, + "ðŁĴªðŁı¼": 20759, + "ðŁĴªðŁı½": 46380, + "ðŁĴªðŁı½": 31111, + "ðŁĴªðŁı¾": 39398, + "ðŁĴªðŁĴª": 24747, + "ðŁĴªðŁĴªðŁĴª": 39913, + "ðŁĴ«": 25770, + "ðŁĴ«": 12526, + "ðŁĴ¬": 30947, + "ðŁĴ¯": 10611, + "ðŁĴ¯": 7018, + "ðŁĴ¯ðŁĴ¯": 30234, + "ðŁĴ¯ðŁĴ¯": 44070, + "ðŁĴ°": 20454, + "ðŁĴ°": 14078, + "ðŁĴ°ðŁĴ°": 41747, + "ðŁĴµ": 47412, + "ðŁĴµ": 38041, + "ðŁĴ¸": 37696, + "ðŁĴ¸": 25957, + "ðŁĴ»": 33433, + "ðŁĴ»": 18135, + "ðŁĴ¿": 39541, + "ðŁĴĢ": 14888, + "ðŁĴĢ": 12158, + "ðŁĴĢðŁĴĢ": 30884, + "ðŁĴģ": 13997, + "ðŁĴģ": 14392, + "ðŁĴĥ": 9947, + "ðŁĴĥ": 14333, + "ðŁĴĥðŁı»": 38624, + "ðŁĴĥðŁĴĥ": 28041, + "ðŁĴĦ": 46116, + "ðŁĴĦ": 34571, + "ðŁĴħ": 27457, + "ðŁĴħ": 32414, + "ðŁĴī": 44316, + "ðŁĴī": 30503, + "ðŁĴĭ": 12217, + "ðŁĴĭ": 7417, + "ðŁĴĭðŁĴĭ": 29214, + "ðŁĴĮ": 40817, + "ðŁĴį": 35850, + "ðŁĴį": 24898, + "ðŁĴİ": 25938, + "ðŁĴİ": 15874, + "ðŁĴIJ": 27375, + "ðŁĴIJ": 20554, + "ðŁĴij": 49404, + "ðŁĴĵ": 20628, + "ðŁĴĵ": 12568, + "ðŁĴĵðŁĴĵ": 43505, + "ðŁĴĶ": 18880, + "ðŁĴĶ": 10704, + "ðŁĴĶðŁĴĶ": 44673, + "ðŁĴķ": 5412, + "ðŁĴķ": 3082, + "ðŁĴķðŁĴķ": 23106, + "ðŁĴķðŁĴķ": 14117, + "ðŁĴķðŁĴķðŁĴķ": 26772, + "ðŁĴĸ": 8466, + "ðŁĴĸ": 5582, + "ðŁĴĸðŁĴĸ": 19562, + "ðŁĴĸðŁĴĸ": 30595, + "ðŁĴĸðŁĴĸðŁĴĸ": 33915, + "ðŁĴĹ": 10148, + "ðŁĴĹ": 6690, + "ðŁĴĹðŁĴĹ": 47158, + "ðŁĴĹðŁĴĹ": 24064, + "ðŁĴĹðŁĴĹðŁĴĹ": 36990, + "ðŁĴĺ": 18223, + "ðŁĴĺ": 10816, + "ðŁĴĺðŁĴĺ": 40464, + "ðŁĴĻ": 5305, + "ðŁĴĻ": 4074, + "ðŁĴĻðŁĴĻ": 17833, + "ðŁĴĻðŁĴĻ": 27101, + "ðŁĴĻðŁĴĻðŁĴĻ": 30698, + "ðŁĴĻðŁĴĽ": 46804, + "ðŁĴĻðŁĴĽ": 26230, + "ðŁĴĻðŁĴľ": 47931, + "ðŁĴĻðŁĴľ": 42541, + "ðŁĴļ": 8102, + "ðŁĴļ": 6521, + "ðŁĴļðŁĴļ": 27497, + "ðŁĴļðŁĴļ": 46209, + "ðŁĴļðŁĴļðŁĴļ": 46182, + "ðŁĴļðŁĴĽ": 41232, + "ðŁĴĽ": 8221, + "ðŁĴĽ": 6233, + "ðŁĴĽðŁĴĻ": 36337, + "ðŁĴĽðŁĴļ": 37994, + "ðŁĴĽðŁĴĽ": 32420, + "ðŁĴľ": 6832, + "ðŁĴľ": 4882, + "ðŁĴľðŁĴľ": 17280, + "ðŁĴľðŁĴľ": 28211, + "ðŁĴľðŁĴľðŁĴľ": 31004, + "ðŁĴĿ": 36761, + "ðŁĴĿ": 22002, + "ðŁĴŀ": 14862, + "ðŁĴŀ": 8988, + "ðŁĴŀðŁĴŀ": 36448, + "ðŁĴŁ": 49394, + "ðŁĴŁ": 28828, + "ðŁĴŃ": 33848, + "ðŁĵ": 1497, + "ðŁĵ¢": 46560, + "ðŁĵ¢": 20901, + "ðŁĵ£": 48841, + "ðŁĵ£": 21282, + "ðŁĵ°:": 28952, + "ðŁĵ°": 14985, + "ðŁĵ±": 36104, + "ðŁĵ±": 20824, + "ðŁĵ²": 19363, + "ðŁĵ·": 6966, + "ðŁĵ·:": 8294, + "ðŁĵ·": 5551, + "ðŁĵ·@": 40032, + "ðŁĵ¸": 8401, + "ðŁĵ¸:": 10379, + "ðŁĵ¸": 6074, + "ðŁĵ¸@": 39660, + "ðŁĵ¹": 49251, + "ðŁĵº": 21792, + "ðŁĵº:": 29728, + "ðŁĵº": 10450, + "ðŁĵ»": 32711, + "ðŁĵ»": 15882, + "ðŁĵ½": 45361, + "ðŁĵħ": 21277, + "ðŁĵĨ": 23471, + "ðŁĵĪ": 23359, + "ðŁĵĬ": 22244, + "ðŁĵĭ": 46351, + "ðŁĵĮ": 22289, + "ðŁĵį": 25043, + "ðŁĵį:": 36845, + "ðŁĵį": 8903, + "ðŁĵĸ": 49003, + "ðŁĵĸ": 23043, + "ðŁĵļ": 25433, + "ðŁĵļ": 15566, + "ðŁĵĿ": 31888, + "ðŁĵĿ:": 48398, + "ðŁĵĿ": 15853, + "ðŁĵŀ": 24022, + "ðŁĶ": 1428, + "ðŁĶ¥": 3191, + "ðŁĶ¥#": 44354, + "ðŁĶ¥": 3016, + "ðŁĶ¥ðŁĶ¥": 5692, + "ðŁĶ¥ðŁĶ¥": 11771, + "ðŁĶ¥ðŁĶ¥ðŁĶ¥": 11004, + "ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥": 23408, + "ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥": 30989, + "ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥ðŁĶ¥": 48401, + "ðŁĶ¥ðŁĶĹ": 35130, + "ðŁĶª": 47078, + "ðŁĶª": 34545, + "ðŁĶ«": 38116, + "ðŁĶ«": 20583, + "ðŁĶ¬": 44227, + "ðŁĶ®": 38077, + "ðŁĶ´": 12408, + "ðŁĶ´": 10854, + "ðŁĶ´âļªï¸ı": 46879, + "ðŁĶ´âļªï¸ı": 40055, + "ðŁĶµ": 17531, + "ðŁĶµ": 17193, + "ðŁĶµâļªï¸ı": 42412, + "ðŁĶ¶": 42880, + "ðŁĶ¶": 36222, + "ðŁĶ·": 37740, + "ðŁĶ¸": 24200, + "ðŁĶ¹": 19995, + "ðŁĶº": 45561, + "ðŁĶģ": 41299, + "ðŁĶĬ": 32580, + "ðŁĶĬ": 20502, + "ðŁĶİ": 44935, + "ðŁĶij": 35127, + "ðŁĶĴ": 44972, + "ðŁĶĶ": 45753, + "ðŁĶĹ": 47475, + "ðŁĶĹ": 14561, + "ðŁĶĺ": 38995, + "ðŁĶľ": 36011, + "ðŁĶĿ": 44387, + "ðŁĶĿ": 29506, + "ðŁķ": 7692, + "ðŁķº": 33958, + "ðŁķĬ": 42624, + "ðŁķĬ": 37760, + "ðŁĸ": 6269, + "ðŁĸ¤": 17603, + "ðŁĸ¤": 10860, + "ðŁĸ¥": 47990, + "ðŁĹ": 7045, + "ðŁĹ£": 33232, + "ðŁĹ£": 18583, + "ðŁĹ£ï¸ı": 37476, + "ðŁĹĵ": 34335, + "ðŁĹĵ": 28773, + "ðŁĹĵï¸ı": 39847, + "ðŁĺ": 668, + "ðŁĺ¡": 21968, + "ðŁĺ¡": 17452, + "ðŁĺ¡ðŁĺ¡": 37223, + "ðŁĺ¢": 14308, + "ðŁĺ¢": 9925, + "ðŁĺ¢ðŁĺ¢": 32923, + "ðŁĺ¢ðŁĺ¢": 47921, + "ðŁĺ£": 32718, + "ðŁĺ¤": 26872, + "ðŁĺ¤": 20740, + "ðŁĺ¥": 38383, + "ðŁĺ¥": 23951, + "ðŁĺ¨": 38080, + "ðŁĺ©": 9051, + "ðŁĺ©": 9494, + "ðŁĺ©ðŁĺ©": 22820, + "ðŁĺ©ðŁĺ©": 38031, + "ðŁĺ©ðŁĺ©ðŁĺ©": 49063, + "ðŁĺª": 38181, + "ðŁĺª": 22243, + "ðŁĺ«": 25141, + "ðŁĺ«": 22340, + "ðŁĺ¬": 23704, + "ðŁĺ¬": 14549, + "ðŁĺ®": 40163, + "ðŁĺ®": 21616, + "ðŁĺ¯": 37858, + "ðŁĺ°": 34728, + "ðŁĺ±": 10938, + "ðŁĺ±": 9055, + "ðŁĺ±ðŁĺ±": 22061, + "ðŁĺ±ðŁĺ±": 40767, + "ðŁĺ±ðŁĺ±ðŁĺ±": 40909, + "ðŁĺ²": 40460, + "ðŁĺ²": 24620, + "ðŁĺ³": 12047, + "ðŁĺ³": 8223, + "ðŁĺ³ðŁĺ³": 32592, + "ðŁĺ´": 23527, + "ðŁĺ´": 16415, + "ðŁĺ´ðŁĺ´": 49307, + "ðŁĺµ": 39368, + "ðŁĺ¶": 35207, + "ðŁĺ·": 37943, + "ðŁĺ·": 25759, + "ðŁĺ¸": 36912, + "ðŁĺ¹": 26477, + "ðŁĺ¹": 26573, + "ðŁĺ¹ðŁĺ¹": 46287, + "ðŁĺº": 40613, + "ðŁĺ»": 15453, + "ðŁĺ»": 12911, + "ðŁĺ»ðŁĺ»": 34414, + "ðŁĺ¼": 44245, + "ðŁĺ½": 45156, + "ðŁĺĢ": 12832, + "ðŁĺĢ": 7334, + "ðŁĺĢðŁĺĢ": 34503, + "ðŁĺģ": 6967, + "ðŁĺģ": 4821, + "ðŁĺģðŁĺģ": 37900, + "ðŁĺģðŁĺģ": 19213, + "ðŁĺģðŁĺģðŁĺģ": 29083, + "ðŁĺĤ": 1424, + "ðŁĺĤ)": 42643, + "ðŁĺĤ.": 42550, + "ðŁĺĤ": 1558, + "ðŁĺĤâĿ¤ï¸ı": 36412, + "ðŁĺĤðŁijĮ": 42000, + "ðŁĺĤðŁĺĤ": 2286, + "ðŁĺĤðŁĺĤ": 4112, + "ðŁĺĤðŁĺĤðŁĺĤ": 22233, + "ðŁĺĤðŁĺĤðŁĺĤ": 4887, + "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 9936, + "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 11522, + "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 19295, + "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 33415, + "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 48973, + "ðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤðŁĺĤ": 28504, + "ðŁĺĤðŁĺį": 43128, + "ðŁĺĤðŁĺŃ": 28965, + "ðŁĺĤðŁĺŃ": 25802, + "ðŁĺĥ": 14079, + "ðŁĺĥ": 8520, + "ðŁĺĥðŁĺĥ": 38358, + "ðŁĺĦ": 12141, + "ðŁĺĦ": 7624, + "ðŁĺĦðŁĺĦ": 32312, + "ðŁĺħ": 15245, + "ðŁĺħ": 9188, + "ðŁĺħðŁĺħ": 39078, + "ðŁĺĨ": 16541, + "ðŁĺĨ": 10943, + "ðŁĺĨðŁĺĨ": 39503, + "ðŁĺĩ": 21694, + "ðŁĺĩ": 13091, + "ðŁĺĪ": 14377, + "ðŁĺĪ": 9756, + "ðŁĺĪðŁĺĪ": 44473, + "ðŁĺī": 9740, + "ðŁĺī": 4955, + "ðŁĺīðŁĺī": 40430, + "ðŁĺĬ": 4692, + "ðŁĺĬ": 3020, + "ðŁĺĬâĿ¤ï¸ı": 43606, + "ðŁĺĬðŁĺĬ": 12838, + "ðŁĺĬðŁĺĬ": 20842, + "ðŁĺĬðŁĺĬðŁĺĬ": 28685, + "ðŁĺĬðŁĺĬðŁĺĬðŁĺĬ": 35519, + "ðŁĺĭ": 12391, + "ðŁĺĭ": 7203, + "ðŁĺĭðŁĺĭ": 33304, + "ðŁĺĮ": 19221, + "ðŁĺĮ": 12163, + "ðŁĺį": 1796, + "ðŁĺį#": 42357, + "ðŁĺį.": 48579, + "ðŁĺį": 1754, + "ðŁĺįâĿ¤": 29122, + "ðŁĺįâĿ¤ï¸ı": 21945, + "ðŁĺįðŁijĮ": 41005, + "ðŁĺįðŁĴķ": 35946, + "ðŁĺįðŁĶ¥": 46648, + "ðŁĺįðŁĺĤ": 48715, + "ðŁĺįðŁĺį": 3663, + "ðŁĺįðŁĺį": 6471, + "ðŁĺįðŁĺįðŁĺį": 30614, + "ðŁĺįðŁĺįðŁĺį": 7703, + "ðŁĺįðŁĺįðŁĺįðŁĺį": 16603, + "ðŁĺįðŁĺįðŁĺįðŁĺį": 18925, + "ðŁĺįðŁĺįðŁĺįðŁĺįðŁĺį": 32078, + "ðŁĺįðŁĺįðŁĺįðŁĺįðŁĺįðŁĺįðŁĺįðŁĺį": 48683, + "ðŁĺįðŁĺĺ": 29646, + "ðŁĺįðŁĺĺ": 19849, + "ðŁĺįðŁĺŃ": 39555, + "ðŁĺİ": 7426, + "ðŁĺİ": 4345, + "ðŁĺİðŁĺİ": 24048, + "ðŁĺİðŁĺİðŁĺİ": 39742, + "ðŁĺı": 11624, + "ðŁĺı": 6909, + "ðŁĺıðŁĺı": 38151, + "ðŁĺIJ": 38586, + "ðŁĺIJ": 19618, + "ðŁĺij": 32469, + "ðŁĺij": 18937, + "ðŁĺĴ": 20792, + "ðŁĺĴ": 11702, + "ðŁĺĵ": 28733, + "ðŁĺĶ": 19532, + "ðŁĺĶ": 11432, + "ðŁĺķ": 45741, + "ðŁĺķ": 20602, + "ðŁĺĸ": 35006, + "ðŁĺĺ": 4240, + "ðŁĺĺ": 3352, + "ðŁĺĺâĿ¤": 48409, + "ðŁĺĺâĿ¤ï¸ı": 39150, + "ðŁĺĺðŁĺį": 38176, + "ðŁĺĺðŁĺĺ": 15663, + "ðŁĺĺðŁĺĺ": 10507, + "ðŁĺĺðŁĺĺðŁĺĺ": 20208, + "ðŁĺĺðŁĺĺðŁĺĺðŁĺĺ": 44892, + "ðŁĺĻ": 36201, + "ðŁĺĻ": 29209, + "ðŁĺļ": 24897, + "ðŁĺļ": 19102, + "ðŁĺĽ": 24550, + "ðŁĺĽ": 15745, + "ðŁĺľ": 13226, + "ðŁĺľ": 7830, + "ðŁĺľðŁĺľ": 43065, + "ðŁĺĿ": 20064, + "ðŁĺĿ": 12970, + "ðŁĺŀ": 40458, + "ðŁĺŀ": 21103, + "ðŁĺŁ": 46947, + "ðŁĺł": 34094, + "ðŁĺŃ": 2962, + "ðŁĺŃ": 3915, + "ðŁĺŃâĿ¤ï¸ı": 29567, + "ðŁĺŃðŁĴķ": 46306, + "ðŁĺŃðŁĺĤ": 38505, + "ðŁĺŃðŁĺį": 36893, + "ðŁĺŃðŁĺŃ": 5300, + "ðŁĺŃðŁĺŃ": 11834, + "ðŁĺŃðŁĺŃðŁĺŃ": 44089, + "ðŁĺŃðŁĺŃðŁĺŃ": 13116, + "ðŁĺŃðŁĺŃðŁĺŃðŁĺŃ": 19793, + "ðŁĺŃðŁĺŃðŁĺŃðŁĺŃ": 27322, + "ðŁĺŃðŁĺŃðŁĺŃðŁĺŃðŁĺŃ": 43366, + "ðŁĻ": 1478, + "ðŁĻĢ": 43092, + "ðŁĻĤ": 32006, + "ðŁĻĤ": 14860, + "ðŁĻĥ": 27222, + "ðŁĻĥ": 15652, + "ðŁĻĦ": 20648, + "ðŁĻĦ": 13049, + "ðŁĻħ": 42702, + "ðŁĻĨ": 30050, + "ðŁĻĨ": 35730, + "ðŁĻĪ": 12661, + "ðŁĻĪ": 9516, + "ðŁĻĪðŁĻĪ": 41796, + "ðŁĻĬ": 23684, + "ðŁĻĬ": 16636, + "ðŁĻĭ": 19193, + "ðŁĻĭ": 30274, + "ðŁĻĮ": 4366, + "ðŁĻĮ": 4855, + "ðŁĻĮðŁı»": 26756, + "ðŁĻĮðŁı»": 15799, + "ðŁĻĮðŁı¼": 26584, + "ðŁĻĮðŁı¼": 15364, + "ðŁĻĮðŁı½": 36660, + "ðŁĻĮðŁı½": 22962, + "ðŁĻĮðŁı¾": 38023, + "ðŁĻĮðŁı¾": 26466, + "ðŁĻĮðŁĻĮ": 21202, + "ðŁĻĮðŁĻĮ": 30430, + "ðŁĻĮðŁĻĮðŁĻĮ": 37127, + "ðŁĻı": 4260, + "ðŁĻı": 5503, + "ðŁĻıðŁı»": 25100, + "ðŁĻıðŁı»": 16650, + "ðŁĻıðŁı¼": 31163, + "ðŁĻıðŁı¼": 18952, + "ðŁĻıðŁı½": 34103, + "ðŁĻıðŁı½": 21540, + "ðŁĻıðŁı¾": 34277, + "ðŁĻıðŁı¾": 21979, + "ðŁĻıðŁĻı": 18227, + "ðŁĻıðŁĻı": 26510, + "ðŁĻıðŁĻıðŁĻı": 31702, + "ðŁļ": 2730, + "ðŁļ¨": 12198, + "ðŁļ¨": 6056, + "ðŁļ¨ðŁļ¨": 36487, + "ðŁļ¨ðŁļ¨": 21440, + "ðŁļ¨ðŁļ¨ðŁļ¨": 41515, + "ðŁļ©": 44514, + "ðŁļ«": 35291, + "ðŁļ²": 37085, + "ðŁļ´": 30825, + "ðŁļ¶": 46060, + "ðŁļĢ": 22400, + "ðŁļĢ": 13542, + "ðŁļĢðŁļĢ": 49033, + "ðŁļĤ": 38949, + "ðŁļĮ": 46891, + "ðŁļĹ": 33054, + "ðŁļĹ": 22783, + "ðŁļĺ": 35825, + "ðŁļĻ": 48487, + "ðŁĽ": 11306, + "ñ": 173, + "ñ": 429, + "ò": 174, + "ò": 430, + "ó": 175, + "ó": 431, + "ô": 176, + "ô": 432, + "õ": 177, + "õ": 433, + "ö": 178, + "ö": 434, + "÷": 179, + "÷": 435, + "ø": 180, + "ø": 436, + "ù": 181, + "ù": 437, + "ú": 182, + "ú": 438, + "û": 183, + "û": 439, + "ü": 184, + "ü": 440, + "ý": 185, + "ý": 441, + "þ": 186, + "þ": 442, + "ÿ": 187, + "ÿ": 443, + "Ā": 188, + "Ā": 444, + "ā": 189, + "ā": 445, + "Ă": 190, + "Ă": 446, + "ă": 191, + "ă": 447, + "Ą": 192, + "Ą": 448, + "ą": 193, + "ą": 449, + "Ć": 194, + "Ć": 450, + "ć": 195, + "ć": 451, + "Ĉ": 196, + "Ĉ": 452, + "ĉ": 197, + "ĉ": 453, + "Ċ": 198, + "Ċ": 454, + "ċ": 199, + "ċ": 455, + "Č": 200, + "Č": 456, + "č": 201, + "č": 457, + "Ď": 202, + "Ď": 458, + "ď": 203, + "ď": 459, + "Đ": 204, + "Đ": 460, + "đ": 205, + "đ": 461, + "Ē": 206, + "Ē": 462, + "ē": 207, + "ē": 463, + "Ĕ": 208, + "Ĕ": 464, + "ĕ": 209, + "ĕ": 465, + "Ė": 210, + "Ė": 466, + "ė": 211, + "ė": 467, + "Ę": 212, + "Ę": 468, + "ę": 213, + "ę": 469, + "Ě": 214, + "Ě": 470, + "ě": 215, + "ě": 471, + "Ĝ": 216, + "Ĝ": 472, + "ĝ": 217, + "ĝ": 473, + "Ğ": 218, + "Ğ": 474, + "ğ": 219, + "ğ": 475, + "Ġ": 220, + "Ġ": 476, + "ġ": 221, + "ġ": 477, + "Ģ": 222, + "Ģ": 478, + "Ģï¸ı": 9668, + "Ģï¸ı": 5511, + "ģ": 223, + "ģ": 479, + "ģà¸": 15016, + "Ĥ": 224, + "Ĥ": 480, + "Ĥâĸ": 29036, + "ĤâĸĤâĸ": 30832, + "ĥ": 225, + "ĥ": 481, + "Ħ": 226, + "Ħ": 482, + "Ħà¸": 20537, + "Ħë": 34462, + "Ħëĭ": 25170, + "ħ": 227, + "ħ": 483, + "ħï¸ı": 33950, + "Ĩ": 228, + "Ĩ": 484, + "ĩ": 229, + "ĩ": 485, + "Ī": 230, + "Ī": 486, + "ī": 231, + "ī": 487, + "īï¸ı": 37463, + "Ĭ": 232, + "Ĭ": 488, + "Ĭãģ": 30294, + "ĭ": 233, + "ĭ": 489, + "ĭãģ": 36218, + "ĭãĤ": 45737, + "Į": 234, + "Į": 490, + "ĮãĤĬãģ": 45969, + "ĮãĤĬãģŁãģĦ": 47021, + "Įë": 17003, + "į": 235, + "į": 491, + "İ": 236, + "İ": 492, + "ı": 237, + "ı": 493, + "IJ": 238, + "IJ": 494, + "ij": 239, + "ij": 495, + "Ĵ": 240, + "Ĵ": 496, + "ĵ": 241, + "ĵ": 497, + "Ķ": 242, + "Ķ": 498, + "Ķë": 37978, + "Ķï¸ı": 24395, + "Ķï¸ı": 7443, + "ķ": 243, + "ķ": 499, + "ķãĤ": 26609, + "ķï¸ı": 44853, + "ĸ": 244, + "ĸ": 500, + "ĸï¸ı": 28877, + "Ĺ": 245, + "Ĺ": 501, + "ĺ": 246, + "ĺ": 502, + "Ļ": 247, + "Ļ": 503, + "ļ": 248, + "ļ": 504, + "Ľ": 249, + "Ľ": 505, + "ľ": 250, + "ľ": 506, + "ľë": 39810, + "Ŀ": 251, + "Ŀ": 507, + "ŀ": 252, + "ŀ": 508, + "Ł": 253, + "Ł": 509, + "ŁãģĦ": 46023, + "ł": 254, + "ł": 510, + "łï¸ı": 27899, + "łï¸ı": 12715, + "łĪ": 43364, + "Ń": 255, + "Ń": 511 +} diff --git a/comfy/sdxl_clip.py b/comfy/sdxl_clip.py new file mode 100644 index 0000000000000000000000000000000000000000..c8cef14e4d6f81eb8ec8f4b8825c8afaa1d5caf3 --- /dev/null +++ b/comfy/sdxl_clip.py @@ -0,0 +1,95 @@ +from comfy import sd1_clip +import torch +import os + +class SDXLClipG(sd1_clip.SDClipModel): + def __init__(self, device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None, dtype=None, model_options={}): + if layer == "penultimate": + layer="hidden" + layer_idx=-2 + + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_config_bigg.json") + model_options = {**model_options, "model_name": "clip_g"} + super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, + special_tokens={"start": 49406, "end": 49407, "pad": 0}, layer_norm_hidden_state=False, return_projected_pooled=True, model_options=model_options) + + def load_sd(self, sd): + return super().load_sd(sd) + +class SDXLClipGTokenizer(sd1_clip.SDTokenizer): + def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}): + super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory, embedding_size=1280, embedding_key='clip_g', tokenizer_data=tokenizer_data) + + +class SDXLTokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.clip_g = SDXLClipGTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids, **kwargs) + out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return self.clip_g.untokenize(token_weight_pair) + + def state_dict(self): + return {} + +class SDXLClipModel(torch.nn.Module): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__() + self.clip_l = sd1_clip.SDClipModel(layer="hidden", layer_idx=-2, device=device, dtype=dtype, layer_norm_hidden_state=False, model_options=model_options) + self.clip_g = SDXLClipG(device=device, dtype=dtype, model_options=model_options) + self.dtypes = set([dtype]) + + def set_clip_options(self, options): + self.clip_l.set_clip_options(options) + self.clip_g.set_clip_options(options) + + def reset_clip_options(self): + self.clip_g.reset_clip_options() + self.clip_l.reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs_g = token_weight_pairs["g"] + token_weight_pairs_l = token_weight_pairs["l"] + g_out, g_pooled = self.clip_g.encode_token_weights(token_weight_pairs_g) + l_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l) + cut_to = min(l_out.shape[1], g_out.shape[1]) + return torch.cat([l_out[:,:cut_to], g_out[:,:cut_to]], dim=-1), g_pooled + + def load_sd(self, sd): + if "text_model.encoder.layers.30.mlp.fc1.weight" in sd: + return self.clip_g.load_sd(sd) + else: + return self.clip_l.load_sd(sd) + +class SDXLRefinerClipModel(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, clip_name="g", clip_model=SDXLClipG, model_options=model_options) + + +class StableCascadeClipGTokenizer(sd1_clip.SDTokenizer): + def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}): + super().__init__(tokenizer_path, pad_with_end=True, embedding_directory=embedding_directory, embedding_size=1280, embedding_key='clip_g', tokenizer_data=tokenizer_data) + +class StableCascadeTokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="g", tokenizer=StableCascadeClipGTokenizer) + +class StableCascadeClipG(sd1_clip.SDClipModel): + def __init__(self, device="cpu", max_length=77, freeze=True, layer="hidden", layer_idx=-1, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_config_bigg.json") + model_options = {**model_options, "model_name": "clip_g"} + super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, + special_tokens={"start": 49406, "end": 49407, "pad": 49407}, layer_norm_hidden_state=False, enable_attention_masks=True, return_projected_pooled=True, model_options=model_options) + + def load_sd(self, sd): + return super().load_sd(sd) + +class StableCascadeClipModel(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, clip_name="g", clip_model=StableCascadeClipG, model_options=model_options) diff --git a/comfy/supported_models.py b/comfy/supported_models.py new file mode 100644 index 0000000000000000000000000000000000000000..557902d110b62e99270109b05328ece3dc48360d --- /dev/null +++ b/comfy/supported_models.py @@ -0,0 +1,1356 @@ +import torch +from . import model_base +from . import utils + +from . import sd1_clip +from . import sdxl_clip +import comfy.text_encoders.sd2_clip +import comfy.text_encoders.sd3_clip +import comfy.text_encoders.sa_t5 +import comfy.text_encoders.aura_t5 +import comfy.text_encoders.pixart_t5 +import comfy.text_encoders.hydit +import comfy.text_encoders.flux +import comfy.text_encoders.genmo +import comfy.text_encoders.lt +import comfy.text_encoders.hunyuan_video +import comfy.text_encoders.cosmos +import comfy.text_encoders.lumina2 +import comfy.text_encoders.wan +import comfy.text_encoders.ace +import comfy.text_encoders.omnigen2 +import comfy.text_encoders.qwen_image +import comfy.text_encoders.hunyuan_image + +from . import supported_models_base +from . import latent_formats + +from . import diffusers_convert + +class SD15(supported_models_base.BASE): + unet_config = { + "context_dim": 768, + "model_channels": 320, + "use_linear_in_transformer": False, + "adm_in_channels": None, + "use_temporal_attention": False, + } + + unet_extra_config = { + "num_heads": 8, + "num_head_channels": -1, + } + + latent_format = latent_formats.SD15 + memory_usage_factor = 1.0 + + def process_clip_state_dict(self, state_dict): + k = list(state_dict.keys()) + for x in k: + if x.startswith("cond_stage_model.transformer.") and not x.startswith("cond_stage_model.transformer.text_model."): + y = x.replace("cond_stage_model.transformer.", "cond_stage_model.transformer.text_model.") + state_dict[y] = state_dict.pop(x) + + if 'cond_stage_model.transformer.text_model.embeddings.position_ids' in state_dict: + ids = state_dict['cond_stage_model.transformer.text_model.embeddings.position_ids'] + if ids.dtype == torch.float32: + state_dict['cond_stage_model.transformer.text_model.embeddings.position_ids'] = ids.round() + + replace_prefix = {} + replace_prefix["cond_stage_model."] = "clip_l." + state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True) + return state_dict + + def process_clip_state_dict_for_saving(self, state_dict): + pop_keys = ["clip_l.transformer.text_projection.weight", "clip_l.logit_scale"] + for p in pop_keys: + if p in state_dict: + state_dict.pop(p) + + replace_prefix = {"clip_l.": "cond_stage_model."} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(sd1_clip.SD1Tokenizer, sd1_clip.SD1ClipModel) + +class SD20(supported_models_base.BASE): + unet_config = { + "context_dim": 1024, + "model_channels": 320, + "use_linear_in_transformer": True, + "adm_in_channels": None, + "use_temporal_attention": False, + } + + unet_extra_config = { + "num_heads": -1, + "num_head_channels": 64, + "attn_precision": torch.float32, + } + + latent_format = latent_formats.SD15 + memory_usage_factor = 1.0 + + def model_type(self, state_dict, prefix=""): + if self.unet_config["in_channels"] == 4: #SD2.0 inpainting models are not v prediction + k = "{}output_blocks.11.1.transformer_blocks.0.norm1.bias".format(prefix) + out = state_dict.get(k, None) + if out is not None and torch.std(out, unbiased=False) > 0.09: # not sure how well this will actually work. I guess we will find out. + return model_base.ModelType.V_PREDICTION + return model_base.ModelType.EPS + + def process_clip_state_dict(self, state_dict): + replace_prefix = {} + replace_prefix["conditioner.embedders.0.model."] = "clip_h." #SD2 in sgm format + replace_prefix["cond_stage_model.model."] = "clip_h." + state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True) + state_dict = utils.clip_text_transformers_convert(state_dict, "clip_h.", "clip_h.transformer.") + return state_dict + + def process_clip_state_dict_for_saving(self, state_dict): + replace_prefix = {} + replace_prefix["clip_h"] = "cond_stage_model.model" + state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix) + state_dict = diffusers_convert.convert_text_enc_state_dict_v20(state_dict) + return state_dict + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(comfy.text_encoders.sd2_clip.SD2Tokenizer, comfy.text_encoders.sd2_clip.SD2ClipModel) + +class SD21UnclipL(SD20): + unet_config = { + "context_dim": 1024, + "model_channels": 320, + "use_linear_in_transformer": True, + "adm_in_channels": 1536, + "use_temporal_attention": False, + } + + clip_vision_prefix = "embedder.model.visual." + noise_aug_config = {"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 768} + + +class SD21UnclipH(SD20): + unet_config = { + "context_dim": 1024, + "model_channels": 320, + "use_linear_in_transformer": True, + "adm_in_channels": 2048, + "use_temporal_attention": False, + } + + clip_vision_prefix = "embedder.model.visual." + noise_aug_config = {"noise_schedule_config": {"timesteps": 1000, "beta_schedule": "squaredcos_cap_v2"}, "timestep_dim": 1024} + +class SDXLRefiner(supported_models_base.BASE): + unet_config = { + "model_channels": 384, + "use_linear_in_transformer": True, + "context_dim": 1280, + "adm_in_channels": 2560, + "transformer_depth": [0, 0, 4, 4, 4, 4, 0, 0], + "use_temporal_attention": False, + } + + latent_format = latent_formats.SDXL + memory_usage_factor = 1.0 + + def get_model(self, state_dict, prefix="", device=None): + return model_base.SDXLRefiner(self, device=device) + + def process_clip_state_dict(self, state_dict): + keys_to_replace = {} + replace_prefix = {} + replace_prefix["conditioner.embedders.0.model."] = "clip_g." + state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True) + + state_dict = utils.clip_text_transformers_convert(state_dict, "clip_g.", "clip_g.transformer.") + state_dict = utils.state_dict_key_replace(state_dict, keys_to_replace) + return state_dict + + def process_clip_state_dict_for_saving(self, state_dict): + replace_prefix = {} + state_dict_g = diffusers_convert.convert_text_enc_state_dict_v20(state_dict, "clip_g") + if "clip_g.transformer.text_model.embeddings.position_ids" in state_dict_g: + state_dict_g.pop("clip_g.transformer.text_model.embeddings.position_ids") + replace_prefix["clip_g"] = "conditioner.embedders.0.model" + state_dict_g = utils.state_dict_prefix_replace(state_dict_g, replace_prefix) + return state_dict_g + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(sdxl_clip.SDXLTokenizer, sdxl_clip.SDXLRefinerClipModel) + +class SDXL(supported_models_base.BASE): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "transformer_depth": [0, 0, 2, 2, 10, 10], + "context_dim": 2048, + "adm_in_channels": 2816, + "use_temporal_attention": False, + } + + latent_format = latent_formats.SDXL + + memory_usage_factor = 0.8 + + def model_type(self, state_dict, prefix=""): + if 'edm_mean' in state_dict and 'edm_std' in state_dict: #Playground V2.5 + self.latent_format = latent_formats.SDXL_Playground_2_5() + self.sampling_settings["sigma_data"] = 0.5 + self.sampling_settings["sigma_max"] = 80.0 + self.sampling_settings["sigma_min"] = 0.002 + return model_base.ModelType.EDM + elif "edm_vpred.sigma_max" in state_dict: + self.sampling_settings["sigma_max"] = float(state_dict["edm_vpred.sigma_max"].item()) + if "edm_vpred.sigma_min" in state_dict: + self.sampling_settings["sigma_min"] = float(state_dict["edm_vpred.sigma_min"].item()) + return model_base.ModelType.V_PREDICTION_EDM + elif "v_pred" in state_dict: + if "ztsnr" in state_dict: #Some zsnr anime checkpoints + self.sampling_settings["zsnr"] = True + return model_base.ModelType.V_PREDICTION + else: + return model_base.ModelType.EPS + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.SDXL(self, model_type=self.model_type(state_dict, prefix), device=device) + if self.inpaint_model(): + out.set_inpaint() + return out + + def process_clip_state_dict(self, state_dict): + keys_to_replace = {} + replace_prefix = {} + + replace_prefix["conditioner.embedders.0.transformer.text_model"] = "clip_l.transformer.text_model" + replace_prefix["conditioner.embedders.1.model."] = "clip_g." + state_dict = utils.state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=True) + + state_dict = utils.state_dict_key_replace(state_dict, keys_to_replace) + state_dict = utils.clip_text_transformers_convert(state_dict, "clip_g.", "clip_g.transformer.") + return state_dict + + def process_clip_state_dict_for_saving(self, state_dict): + replace_prefix = {} + state_dict_g = diffusers_convert.convert_text_enc_state_dict_v20(state_dict, "clip_g") + for k in state_dict: + if k.startswith("clip_l"): + state_dict_g[k] = state_dict[k] + + state_dict_g["clip_l.transformer.text_model.embeddings.position_ids"] = torch.arange(77).expand((1, -1)) + pop_keys = ["clip_l.transformer.text_projection.weight", "clip_l.logit_scale"] + for p in pop_keys: + if p in state_dict_g: + state_dict_g.pop(p) + + replace_prefix["clip_g"] = "conditioner.embedders.1.model" + replace_prefix["clip_l"] = "conditioner.embedders.0" + state_dict_g = utils.state_dict_prefix_replace(state_dict_g, replace_prefix) + return state_dict_g + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(sdxl_clip.SDXLTokenizer, sdxl_clip.SDXLClipModel) + +class SSD1B(SDXL): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "transformer_depth": [0, 0, 2, 2, 4, 4], + "context_dim": 2048, + "adm_in_channels": 2816, + "use_temporal_attention": False, + } + +class Segmind_Vega(SDXL): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "transformer_depth": [0, 0, 1, 1, 2, 2], + "context_dim": 2048, + "adm_in_channels": 2816, + "use_temporal_attention": False, + } + +class KOALA_700M(SDXL): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "transformer_depth": [0, 2, 5], + "context_dim": 2048, + "adm_in_channels": 2816, + "use_temporal_attention": False, + } + +class KOALA_1B(SDXL): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "transformer_depth": [0, 2, 6], + "context_dim": 2048, + "adm_in_channels": 2816, + "use_temporal_attention": False, + } + +class SVD_img2vid(supported_models_base.BASE): + unet_config = { + "model_channels": 320, + "in_channels": 8, + "use_linear_in_transformer": True, + "transformer_depth": [1, 1, 1, 1, 1, 1, 0, 0], + "context_dim": 1024, + "adm_in_channels": 768, + "use_temporal_attention": True, + "use_temporal_resblock": True + } + + unet_extra_config = { + "num_heads": -1, + "num_head_channels": 64, + "attn_precision": torch.float32, + } + + clip_vision_prefix = "conditioner.embedders.0.open_clip.model.visual." + + latent_format = latent_formats.SD15 + + sampling_settings = {"sigma_max": 700.0, "sigma_min": 0.002} + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.SVD_img2vid(self, device=device) + return out + + def clip_target(self, state_dict={}): + return None + +class SV3D_u(SVD_img2vid): + unet_config = { + "model_channels": 320, + "in_channels": 8, + "use_linear_in_transformer": True, + "transformer_depth": [1, 1, 1, 1, 1, 1, 0, 0], + "context_dim": 1024, + "adm_in_channels": 256, + "use_temporal_attention": True, + "use_temporal_resblock": True + } + + vae_key_prefix = ["conditioner.embedders.1.encoder."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.SV3D_u(self, device=device) + return out + +class SV3D_p(SV3D_u): + unet_config = { + "model_channels": 320, + "in_channels": 8, + "use_linear_in_transformer": True, + "transformer_depth": [1, 1, 1, 1, 1, 1, 0, 0], + "context_dim": 1024, + "adm_in_channels": 1280, + "use_temporal_attention": True, + "use_temporal_resblock": True + } + + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.SV3D_p(self, device=device) + return out + +class Stable_Zero123(supported_models_base.BASE): + unet_config = { + "context_dim": 768, + "model_channels": 320, + "use_linear_in_transformer": False, + "adm_in_channels": None, + "use_temporal_attention": False, + "in_channels": 8, + } + + unet_extra_config = { + "num_heads": 8, + "num_head_channels": -1, + } + + required_keys = { + "cc_projection.weight": None, + "cc_projection.bias": None, + } + + clip_vision_prefix = "cond_stage_model.model.visual." + + latent_format = latent_formats.SD15 + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Stable_Zero123(self, device=device, cc_projection_weight=state_dict["cc_projection.weight"], cc_projection_bias=state_dict["cc_projection.bias"]) + return out + + def clip_target(self, state_dict={}): + return None + +class SD_X4Upscaler(SD20): + unet_config = { + "context_dim": 1024, + "model_channels": 256, + 'in_channels': 7, + "use_linear_in_transformer": True, + "adm_in_channels": None, + "use_temporal_attention": False, + } + + unet_extra_config = { + "disable_self_attentions": [True, True, True, False], + "num_classes": 1000, + "num_heads": 8, + "num_head_channels": -1, + } + + latent_format = latent_formats.SD_X4 + + sampling_settings = { + "linear_start": 0.0001, + "linear_end": 0.02, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.SD_X4Upscaler(self, device=device) + return out + +class Stable_Cascade_C(supported_models_base.BASE): + unet_config = { + "stable_cascade_stage": 'c', + } + + unet_extra_config = {} + + latent_format = latent_formats.SC_Prior + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + sampling_settings = { + "shift": 2.0, + } + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoder."] + clip_vision_prefix = "clip_l_vision." + + def process_unet_state_dict(self, state_dict): + key_list = list(state_dict.keys()) + for y in ["weight", "bias"]: + suffix = "in_proj_{}".format(y) + keys = filter(lambda a: a.endswith(suffix), key_list) + for k_from in keys: + weights = state_dict.pop(k_from) + prefix = k_from[:-(len(suffix) + 1)] + shape_from = weights.shape[0] // 3 + for x in range(3): + p = ["to_q", "to_k", "to_v"] + k_to = "{}.{}.{}".format(prefix, p[x], y) + state_dict[k_to] = weights[shape_from*x:shape_from*(x + 1)] + return state_dict + + def process_clip_state_dict(self, state_dict): + state_dict = utils.state_dict_prefix_replace(state_dict, {k: "" for k in self.text_encoder_key_prefix}, filter_keys=True) + if "clip_g.text_projection" in state_dict: + state_dict["clip_g.transformer.text_projection.weight"] = state_dict.pop("clip_g.text_projection").transpose(0, 1) + return state_dict + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.StableCascade_C(self, device=device) + return out + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(sdxl_clip.StableCascadeTokenizer, sdxl_clip.StableCascadeClipModel) + +class Stable_Cascade_B(Stable_Cascade_C): + unet_config = { + "stable_cascade_stage": 'b', + } + + unet_extra_config = {} + + latent_format = latent_formats.SC_B + supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32] + + sampling_settings = { + "shift": 1.0, + } + + clip_vision_prefix = None + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.StableCascade_B(self, device=device) + return out + +class SD15_instructpix2pix(SD15): + unet_config = { + "context_dim": 768, + "model_channels": 320, + "use_linear_in_transformer": False, + "adm_in_channels": None, + "use_temporal_attention": False, + "in_channels": 8, + } + + def get_model(self, state_dict, prefix="", device=None): + return model_base.SD15_instructpix2pix(self, device=device) + +class SDXL_instructpix2pix(SDXL): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "transformer_depth": [0, 0, 2, 2, 10, 10], + "context_dim": 2048, + "adm_in_channels": 2816, + "use_temporal_attention": False, + "in_channels": 8, + } + + def get_model(self, state_dict, prefix="", device=None): + return model_base.SDXL_instructpix2pix(self, model_type=self.model_type(state_dict, prefix), device=device) + +class LotusD(SD20): + unet_config = { + "model_channels": 320, + "use_linear_in_transformer": True, + "use_temporal_attention": False, + "adm_in_channels": 4, + "in_channels": 4, + } + + unet_extra_config = { + "num_classes": 'sequential' + } + + def get_model(self, state_dict, prefix="", device=None): + return model_base.Lotus(self, device=device) + +class SD3(supported_models_base.BASE): + unet_config = { + "in_channels": 16, + "pos_embed_scaling_factor": None, + } + + sampling_settings = { + "shift": 3.0, + } + + unet_extra_config = {} + latent_format = latent_formats.SD3 + + memory_usage_factor = 1.2 + + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.SD3(self, device=device) + return out + + def clip_target(self, state_dict={}): + clip_l = False + clip_g = False + t5 = False + pref = self.text_encoder_key_prefix[0] + if "{}clip_l.transformer.text_model.final_layer_norm.weight".format(pref) in state_dict: + clip_l = True + if "{}clip_g.transformer.text_model.final_layer_norm.weight".format(pref) in state_dict: + clip_g = True + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + if "dtype_t5" in t5_detect: + t5 = True + + return supported_models_base.ClipTarget(comfy.text_encoders.sd3_clip.SD3Tokenizer, comfy.text_encoders.sd3_clip.sd3_clip(clip_l=clip_l, clip_g=clip_g, t5=t5, **t5_detect)) + +class StableAudio(supported_models_base.BASE): + unet_config = { + "audio_model": "dit1.0", + } + + sampling_settings = {"sigma_max": 500.0, "sigma_min": 0.03} + + unet_extra_config = {} + latent_format = latent_formats.StableAudio1 + + text_encoder_key_prefix = ["text_encoders."] + vae_key_prefix = ["pretransform.model."] + + def get_model(self, state_dict, prefix="", device=None): + seconds_start_sd = utils.state_dict_prefix_replace(state_dict, {"conditioner.conditioners.seconds_start.": ""}, filter_keys=True) + seconds_total_sd = utils.state_dict_prefix_replace(state_dict, {"conditioner.conditioners.seconds_total.": ""}, filter_keys=True) + return model_base.StableAudio1(self, seconds_start_embedder_weights=seconds_start_sd, seconds_total_embedder_weights=seconds_total_sd, device=device) + + def process_unet_state_dict(self, state_dict): + for k in list(state_dict.keys()): + if k.endswith(".cross_attend_norm.beta") or k.endswith(".ff_norm.beta") or k.endswith(".pre_norm.beta"): #These weights are all zero + state_dict.pop(k) + return state_dict + + def process_unet_state_dict_for_saving(self, state_dict): + replace_prefix = {"": "model.model."} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(comfy.text_encoders.sa_t5.SAT5Tokenizer, comfy.text_encoders.sa_t5.SAT5Model) + +class AuraFlow(supported_models_base.BASE): + unet_config = { + "cond_seq_dim": 2048, + } + + sampling_settings = { + "multiplier": 1.0, + "shift": 1.73, + } + + unet_extra_config = {} + latent_format = latent_formats.SDXL + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.AuraFlow(self, device=device) + return out + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(comfy.text_encoders.aura_t5.AuraT5Tokenizer, comfy.text_encoders.aura_t5.AuraT5Model) + +class PixArtAlpha(supported_models_base.BASE): + unet_config = { + "image_model": "pixart_alpha", + } + + sampling_settings = { + "beta_schedule" : "sqrt_linear", + "linear_start" : 0.0001, + "linear_end" : 0.02, + "timesteps" : 1000, + } + + unet_extra_config = {} + latent_format = latent_formats.SD15 + + memory_usage_factor = 0.5 + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.PixArt(self, device=device) + return out.eval() + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(comfy.text_encoders.pixart_t5.PixArtTokenizer, comfy.text_encoders.pixart_t5.PixArtT5XXL) + +class PixArtSigma(PixArtAlpha): + unet_config = { + "image_model": "pixart_sigma", + } + latent_format = latent_formats.SDXL + +class HunyuanDiT(supported_models_base.BASE): + unet_config = { + "image_model": "hydit", + } + + unet_extra_config = { + "attn_precision": torch.float32, + } + + sampling_settings = { + "linear_start": 0.00085, + "linear_end": 0.018, + } + + latent_format = latent_formats.SDXL + + memory_usage_factor = 1.3 + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HunyuanDiT(self, device=device) + return out + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(comfy.text_encoders.hydit.HyditTokenizer, comfy.text_encoders.hydit.HyditModel) + +class HunyuanDiT1(HunyuanDiT): + unet_config = { + "image_model": "hydit1", + } + + unet_extra_config = {} + + sampling_settings = { + "linear_start" : 0.00085, + "linear_end" : 0.03, + } + +class Flux(supported_models_base.BASE): + unet_config = { + "image_model": "flux", + "guidance_embed": True, + } + + sampling_settings = { + } + + unet_extra_config = {} + latent_format = latent_formats.Flux + + memory_usage_factor = 3.1 # TODO: debug why flux mem usage is so weird on windows. + + supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Flux(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.flux.FluxTokenizer, comfy.text_encoders.flux.flux_clip(**t5_detect)) + +class FluxInpaint(Flux): + unet_config = { + "image_model": "flux", + "guidance_embed": True, + "in_channels": 96, + } + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + +class FluxSchnell(Flux): + unet_config = { + "image_model": "flux", + "guidance_embed": False, + } + + sampling_settings = { + "multiplier": 1.0, + "shift": 1.0, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Flux(self, model_type=model_base.ModelType.FLOW, device=device) + return out + +class GenmoMochi(supported_models_base.BASE): + unet_config = { + "image_model": "mochi_preview", + } + + sampling_settings = { + "multiplier": 1.0, + "shift": 6.0, + } + + unet_extra_config = {} + latent_format = latent_formats.Mochi + + memory_usage_factor = 2.0 #TODO + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.GenmoMochi(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.genmo.MochiT5Tokenizer, comfy.text_encoders.genmo.mochi_te(**t5_detect)) + +class LTXV(supported_models_base.BASE): + unet_config = { + "image_model": "ltxv", + } + + sampling_settings = { + "shift": 2.37, + } + + unet_extra_config = {} + latent_format = latent_formats.LTXV + + memory_usage_factor = 5.5 # TODO: img2vid is about 2x vs txt2vid + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def __init__(self, unet_config): + super().__init__(unet_config) + self.memory_usage_factor = (unet_config.get("cross_attention_dim", 2048) / 2048) * 5.5 + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.LTXV(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.lt.LTXVT5Tokenizer, comfy.text_encoders.lt.ltxv_te(**t5_detect)) + +class HunyuanVideo(supported_models_base.BASE): + unet_config = { + "image_model": "hunyuan_video", + } + + sampling_settings = { + "shift": 7.0, + } + + unet_extra_config = {} + latent_format = latent_formats.HunyuanVideo + + memory_usage_factor = 1.8 #TODO + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HunyuanVideo(self, device=device) + return out + + def process_unet_state_dict(self, state_dict): + out_sd = {} + for k in list(state_dict.keys()): + key_out = k + key_out = key_out.replace("txt_in.t_embedder.mlp.0.", "txt_in.t_embedder.in_layer.").replace("txt_in.t_embedder.mlp.2.", "txt_in.t_embedder.out_layer.") + key_out = key_out.replace("txt_in.c_embedder.linear_1.", "txt_in.c_embedder.in_layer.").replace("txt_in.c_embedder.linear_2.", "txt_in.c_embedder.out_layer.") + key_out = key_out.replace("_mod.linear.", "_mod.lin.").replace("_attn_qkv.", "_attn.qkv.") + key_out = key_out.replace("mlp.fc1.", "mlp.0.").replace("mlp.fc2.", "mlp.2.") + key_out = key_out.replace("_attn_q_norm.weight", "_attn.norm.query_norm.scale").replace("_attn_k_norm.weight", "_attn.norm.key_norm.scale") + key_out = key_out.replace(".q_norm.weight", ".norm.query_norm.scale").replace(".k_norm.weight", ".norm.key_norm.scale") + key_out = key_out.replace("_attn_proj.", "_attn.proj.") + key_out = key_out.replace(".modulation.linear.", ".modulation.lin.") + key_out = key_out.replace("_in.mlp.2.", "_in.out_layer.").replace("_in.mlp.0.", "_in.in_layer.") + out_sd[key_out] = state_dict[k] + return out_sd + + def process_unet_state_dict_for_saving(self, state_dict): + replace_prefix = {"": "model.model."} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}llama.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.hunyuan_video.HunyuanVideoTokenizer, comfy.text_encoders.hunyuan_video.hunyuan_video_clip(**hunyuan_detect)) + +class HunyuanVideoI2V(HunyuanVideo): + unet_config = { + "image_model": "hunyuan_video", + "in_channels": 33, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HunyuanVideoI2V(self, device=device) + return out + +class HunyuanVideoSkyreelsI2V(HunyuanVideo): + unet_config = { + "image_model": "hunyuan_video", + "in_channels": 32, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HunyuanVideoSkyreelsI2V(self, device=device) + return out + +class CosmosT2V(supported_models_base.BASE): + unet_config = { + "image_model": "cosmos", + "in_channels": 16, + } + + sampling_settings = { + "sigma_data": 0.5, + "sigma_max": 80.0, + "sigma_min": 0.002, + } + + unet_extra_config = {} + latent_format = latent_formats.Cosmos1CV8x8x8 + + memory_usage_factor = 1.6 #TODO + + supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32] #TODO + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.CosmosVideo(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.cosmos.CosmosT5Tokenizer, comfy.text_encoders.cosmos.te(**t5_detect)) + +class CosmosI2V(CosmosT2V): + unet_config = { + "image_model": "cosmos", + "in_channels": 17, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.CosmosVideo(self, image_to_video=True, device=device) + return out + +class CosmosT2IPredict2(supported_models_base.BASE): + unet_config = { + "image_model": "cosmos_predict2", + "in_channels": 16, + } + + sampling_settings = { + "sigma_data": 1.0, + "sigma_max": 80.0, + "sigma_min": 0.002, + } + + unet_extra_config = {} + latent_format = latent_formats.Wan21 + + memory_usage_factor = 1.0 + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + def __init__(self, unet_config): + super().__init__(unet_config) + self.memory_usage_factor = (unet_config.get("model_channels", 2048) / 2048) * 0.9 + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.CosmosPredict2(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.cosmos.CosmosT5Tokenizer, comfy.text_encoders.cosmos.te(**t5_detect)) + +class CosmosI2VPredict2(CosmosT2IPredict2): + unet_config = { + "image_model": "cosmos_predict2", + "in_channels": 17, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.CosmosPredict2(self, image_to_video=True, device=device) + return out + +class Lumina2(supported_models_base.BASE): + unet_config = { + "image_model": "lumina2", + } + + sampling_settings = { + "multiplier": 1.0, + "shift": 6.0, + } + + memory_usage_factor = 1.2 + + unet_extra_config = {} + latent_format = latent_formats.Flux + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Lumina2(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}gemma2_2b.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.lumina2.LuminaTokenizer, comfy.text_encoders.lumina2.te(**hunyuan_detect)) + +class WAN21_T2V(supported_models_base.BASE): + unet_config = { + "image_model": "wan2.1", + "model_type": "t2v", + } + + sampling_settings = { + "shift": 8.0, + } + + unet_extra_config = {} + latent_format = latent_formats.Wan21 + + memory_usage_factor = 1.0 + + supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def __init__(self, unet_config): + super().__init__(unet_config) + self.memory_usage_factor = self.unet_config.get("dim", 2000) / 2000 + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN21(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}umt5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.wan.WanT5Tokenizer, comfy.text_encoders.wan.te(**t5_detect)) + +class WAN21_I2V(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "i2v", + "in_dim": 36, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN21(self, image_to_video=True, device=device) + return out + +class WAN21_FunControl2V(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "i2v", + "in_dim": 48, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN21(self, image_to_video=False, device=device) + return out + +class WAN21_Camera(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "camera", + "in_dim": 32, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN21_Camera(self, image_to_video=False, device=device) + return out + +class WAN22_Camera(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "camera_2.2", + "in_dim": 36, + } + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN21_Camera(self, image_to_video=False, device=device) + return out + +class WAN21_Vace(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "vace", + } + + def __init__(self, unet_config): + super().__init__(unet_config) + self.memory_usage_factor = 1.2 * self.memory_usage_factor + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN21_Vace(self, image_to_video=False, device=device) + return out + +class WAN22_S2V(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "s2v", + } + + def __init__(self, unet_config): + super().__init__(unet_config) + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN22_S2V(self, device=device) + return out + +class WAN22_T2V(WAN21_T2V): + unet_config = { + "image_model": "wan2.1", + "model_type": "t2v", + "out_dim": 48, + } + + latent_format = latent_formats.Wan22 + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.WAN22(self, image_to_video=True, device=device) + return out + +class Hunyuan3Dv2(supported_models_base.BASE): + unet_config = { + "image_model": "hunyuan3d2", + } + + unet_extra_config = {} + + sampling_settings = { + "multiplier": 1.0, + "shift": 1.0, + } + + memory_usage_factor = 3.5 + + clip_vision_prefix = "conditioner.main_image_encoder.model." + vae_key_prefix = ["vae."] + + latent_format = latent_formats.Hunyuan3Dv2 + + def process_unet_state_dict_for_saving(self, state_dict): + replace_prefix = {"": "model."} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Hunyuan3Dv2(self, device=device) + return out + + def clip_target(self, state_dict={}): + return None + +class Hunyuan3Dv2_1(Hunyuan3Dv2): + unet_config = { + "image_model": "hunyuan3d2_1", + } + + latent_format = latent_formats.Hunyuan3Dv2_1 + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Hunyuan3Dv2_1(self, device = device) + return out + +class Hunyuan3Dv2mini(Hunyuan3Dv2): + unet_config = { + "image_model": "hunyuan3d2", + "depth": 8, + } + + latent_format = latent_formats.Hunyuan3Dv2mini + +class HiDream(supported_models_base.BASE): + unet_config = { + "image_model": "hidream", + } + + sampling_settings = { + "shift": 3.0, + } + + sampling_settings = { + } + + # memory_usage_factor = 1.2 # TODO + + unet_extra_config = {} + latent_format = latent_formats.Flux + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HiDream(self, device=device) + return out + + def clip_target(self, state_dict={}): + return None # TODO + +class Chroma(supported_models_base.BASE): + unet_config = { + "image_model": "chroma", + } + + unet_extra_config = { + } + + sampling_settings = { + "multiplier": 1.0, + } + + latent_format = comfy.latent_formats.Flux + + memory_usage_factor = 3.2 + + supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32] + + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Chroma(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + t5_detect = comfy.text_encoders.sd3_clip.t5_xxl_detect(state_dict, "{}t5xxl.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.pixart_t5.PixArtTokenizer, comfy.text_encoders.pixart_t5.pixart_te(**t5_detect)) + +class ChromaRadiance(Chroma): + unet_config = { + "image_model": "chroma_radiance", + } + + latent_format = comfy.latent_formats.ChromaRadiance + + # Pixel-space model, no spatial compression for model input. + memory_usage_factor = 0.038 + + def get_model(self, state_dict, prefix="", device=None): + return model_base.ChromaRadiance(self, device=device) + +class ACEStep(supported_models_base.BASE): + unet_config = { + "audio_model": "ace", + } + + unet_extra_config = { + } + + sampling_settings = { + "shift": 3.0, + } + + latent_format = comfy.latent_formats.ACEAudio + + memory_usage_factor = 0.5 + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.ACEStep(self, device=device) + return out + + def clip_target(self, state_dict={}): + return supported_models_base.ClipTarget(comfy.text_encoders.ace.AceT5Tokenizer, comfy.text_encoders.ace.AceT5Model) + +class Omnigen2(supported_models_base.BASE): + unet_config = { + "image_model": "omnigen2", + } + + sampling_settings = { + "multiplier": 1.0, + "shift": 2.6, + } + + memory_usage_factor = 1.65 #TODO + + unet_extra_config = {} + latent_format = latent_formats.Flux + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def __init__(self, unet_config): + super().__init__(unet_config) + if comfy.model_management.extended_fp16_support(): + self.supported_inference_dtypes = [torch.float16] + self.supported_inference_dtypes + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.Omnigen2(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}qwen25_3b.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.omnigen2.Omnigen2Tokenizer, comfy.text_encoders.omnigen2.te(**hunyuan_detect)) + +class QwenImage(supported_models_base.BASE): + unet_config = { + "image_model": "qwen_image", + } + + sampling_settings = { + "multiplier": 1.0, + "shift": 1.15, + } + + memory_usage_factor = 1.8 #TODO + + unet_extra_config = {} + latent_format = latent_formats.Wan21 + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + vae_key_prefix = ["vae."] + text_encoder_key_prefix = ["text_encoders."] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.QwenImage(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}qwen25_7b.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.qwen_image.QwenImageTokenizer, comfy.text_encoders.qwen_image.te(**hunyuan_detect)) + +class HunyuanImage21(HunyuanVideo): + unet_config = { + "image_model": "hunyuan_video", + "vec_in_dim": None, + } + + sampling_settings = { + "shift": 5.0, + } + + latent_format = latent_formats.HunyuanImage21 + + memory_usage_factor = 7.7 + + supported_inference_dtypes = [torch.bfloat16, torch.float32] + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HunyuanImage21(self, device=device) + return out + + def clip_target(self, state_dict={}): + pref = self.text_encoder_key_prefix[0] + hunyuan_detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}qwen25_7b.transformer.".format(pref)) + return supported_models_base.ClipTarget(comfy.text_encoders.hunyuan_image.HunyuanImageTokenizer, comfy.text_encoders.hunyuan_image.te(**hunyuan_detect)) + +class HunyuanImage21Refiner(HunyuanVideo): + unet_config = { + "image_model": "hunyuan_video", + "patch_size": [1, 1, 1], + "vec_in_dim": None, + } + + sampling_settings = { + "shift": 4.0, + } + + latent_format = latent_formats.HunyuanImage21Refiner + + def get_model(self, state_dict, prefix="", device=None): + out = model_base.HunyuanImage21Refiner(self, device=device) + return out + +models = [LotusD, Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, FluxSchnell, GenmoMochi, LTXV, HunyuanImage21Refiner, HunyuanImage21, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, CosmosT2IPredict2, CosmosI2VPredict2, Lumina2, WAN22_T2V, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, WAN21_Vace, WAN21_Camera, WAN22_Camera, WAN22_S2V, Hunyuan3Dv2mini, Hunyuan3Dv2, Hunyuan3Dv2_1, HiDream, Chroma, ChromaRadiance, ACEStep, Omnigen2, QwenImage] + +models += [SVD_img2vid] diff --git a/comfy/supported_models_base.py b/comfy/supported_models_base.py new file mode 100644 index 0000000000000000000000000000000000000000..54573abb110d8cc5e190ecefa0f9aecf95da0b99 --- /dev/null +++ b/comfy/supported_models_base.py @@ -0,0 +1,119 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torch +from . import model_base +from . import utils +from . import latent_formats + +class ClipTarget: + def __init__(self, tokenizer, clip): + self.clip = clip + self.tokenizer = tokenizer + self.params = {} + +class BASE: + unet_config = {} + unet_extra_config = { + "num_heads": -1, + "num_head_channels": 64, + } + + required_keys = {} + + clip_prefix = [] + clip_vision_prefix = None + noise_aug_config = None + sampling_settings = {} + latent_format = latent_formats.LatentFormat + vae_key_prefix = ["first_stage_model."] + text_encoder_key_prefix = ["cond_stage_model."] + supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32] + + memory_usage_factor = 2.0 + + manual_cast_dtype = None + custom_operations = None + scaled_fp8 = None + optimizations = {"fp8": False} + + @classmethod + def matches(s, unet_config, state_dict=None): + for k in s.unet_config: + if k not in unet_config or s.unet_config[k] != unet_config[k]: + return False + if state_dict is not None: + for k in s.required_keys: + if k not in state_dict: + return False + return True + + def model_type(self, state_dict, prefix=""): + return model_base.ModelType.EPS + + def inpaint_model(self): + return self.unet_config["in_channels"] > 4 + + def __init__(self, unet_config): + self.unet_config = unet_config.copy() + self.sampling_settings = self.sampling_settings.copy() + self.latent_format = self.latent_format() + self.optimizations = self.optimizations.copy() + for x in self.unet_extra_config: + self.unet_config[x] = self.unet_extra_config[x] + + def get_model(self, state_dict, prefix="", device=None): + if self.noise_aug_config is not None: + out = model_base.SD21UNCLIP(self, self.noise_aug_config, model_type=self.model_type(state_dict, prefix), device=device) + else: + out = model_base.BaseModel(self, model_type=self.model_type(state_dict, prefix), device=device) + if self.inpaint_model(): + out.set_inpaint() + return out + + def process_clip_state_dict(self, state_dict): + state_dict = utils.state_dict_prefix_replace(state_dict, {k: "" for k in self.text_encoder_key_prefix}, filter_keys=True) + return state_dict + + def process_unet_state_dict(self, state_dict): + return state_dict + + def process_vae_state_dict(self, state_dict): + return state_dict + + def process_clip_state_dict_for_saving(self, state_dict): + replace_prefix = {"": self.text_encoder_key_prefix[0]} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def process_clip_vision_state_dict_for_saving(self, state_dict): + replace_prefix = {} + if self.clip_vision_prefix is not None: + replace_prefix[""] = self.clip_vision_prefix + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def process_unet_state_dict_for_saving(self, state_dict): + replace_prefix = {"": "model.diffusion_model."} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def process_vae_state_dict_for_saving(self, state_dict): + replace_prefix = {"": self.vae_key_prefix[0]} + return utils.state_dict_prefix_replace(state_dict, replace_prefix) + + def set_inference_dtype(self, dtype, manual_cast_dtype): + self.unet_config['dtype'] = dtype + self.manual_cast_dtype = manual_cast_dtype diff --git a/comfy/t2i_adapter/adapter.py b/comfy/t2i_adapter/adapter.py new file mode 100644 index 0000000000000000000000000000000000000000..10ea18e326693f237b3b219970c86e3808f6d334 --- /dev/null +++ b/comfy/t2i_adapter/adapter.py @@ -0,0 +1,299 @@ +#taken from https://github.com/TencentARC/T2I-Adapter +import torch +import torch.nn as nn +from collections import OrderedDict + + +def conv_nd(dims, *args, **kwargs): + """ + Create a 1D, 2D, or 3D convolution module. + """ + if dims == 1: + return nn.Conv1d(*args, **kwargs) + elif dims == 2: + return nn.Conv2d(*args, **kwargs) + elif dims == 3: + return nn.Conv3d(*args, **kwargs) + raise ValueError(f"unsupported dimensions: {dims}") + + +def avg_pool_nd(dims, *args, **kwargs): + """ + Create a 1D, 2D, or 3D average pooling module. + """ + if dims == 1: + return nn.AvgPool1d(*args, **kwargs) + elif dims == 2: + return nn.AvgPool2d(*args, **kwargs) + elif dims == 3: + return nn.AvgPool3d(*args, **kwargs) + raise ValueError(f"unsupported dimensions: {dims}") + + +class Downsample(nn.Module): + """ + A downsampling layer with an optional convolution. + :param channels: channels in the inputs and outputs. + :param use_conv: a bool determining if a convolution is applied. + :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then + downsampling occurs in the inner-two dimensions. + """ + + def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.dims = dims + stride = 2 if dims != 3 else (1, 2, 2) + if use_conv: + self.op = conv_nd( + dims, self.channels, self.out_channels, 3, stride=stride, padding=padding + ) + else: + assert self.channels == self.out_channels + self.op = avg_pool_nd(dims, kernel_size=stride, stride=stride) + + def forward(self, x): + assert x.shape[1] == self.channels + if not self.use_conv: + padding = [x.shape[2] % 2, x.shape[3] % 2] + self.op.padding = padding + + x = self.op(x) + return x + + +class ResnetBlock(nn.Module): + def __init__(self, in_c, out_c, down, ksize=3, sk=False, use_conv=True): + super().__init__() + ps = ksize // 2 + if in_c != out_c or sk == False: + self.in_conv = nn.Conv2d(in_c, out_c, ksize, 1, ps) + else: + # print('n_in') + self.in_conv = None + self.block1 = nn.Conv2d(out_c, out_c, 3, 1, 1) + self.act = nn.ReLU() + self.block2 = nn.Conv2d(out_c, out_c, ksize, 1, ps) + if sk == False: + self.skep = nn.Conv2d(in_c, out_c, ksize, 1, ps) + else: + self.skep = None + + self.down = down + if self.down == True: + self.down_opt = Downsample(in_c, use_conv=use_conv) + + def forward(self, x): + if self.down == True: + x = self.down_opt(x) + if self.in_conv is not None: # edit + x = self.in_conv(x) + + h = self.block1(x) + h = self.act(h) + h = self.block2(h) + if self.skep is not None: + return h + self.skep(x) + else: + return h + x + + +class Adapter(nn.Module): + def __init__(self, channels=[320, 640, 1280, 1280], nums_rb=3, cin=64, ksize=3, sk=False, use_conv=True, xl=True): + super(Adapter, self).__init__() + self.unshuffle_amount = 8 + resblock_no_downsample = [] + resblock_downsample = [3, 2, 1] + self.xl = xl + if self.xl: + self.unshuffle_amount = 16 + resblock_no_downsample = [1] + resblock_downsample = [2] + + self.input_channels = cin // (self.unshuffle_amount * self.unshuffle_amount) + self.unshuffle = nn.PixelUnshuffle(self.unshuffle_amount) + self.channels = channels + self.nums_rb = nums_rb + self.body = [] + for i in range(len(channels)): + for j in range(nums_rb): + if (i in resblock_downsample) and (j == 0): + self.body.append( + ResnetBlock(channels[i - 1], channels[i], down=True, ksize=ksize, sk=sk, use_conv=use_conv)) + elif (i in resblock_no_downsample) and (j == 0): + self.body.append( + ResnetBlock(channels[i - 1], channels[i], down=False, ksize=ksize, sk=sk, use_conv=use_conv)) + else: + self.body.append( + ResnetBlock(channels[i], channels[i], down=False, ksize=ksize, sk=sk, use_conv=use_conv)) + self.body = nn.ModuleList(self.body) + self.conv_in = nn.Conv2d(cin, channels[0], 3, 1, 1) + + def forward(self, x): + # unshuffle + x = self.unshuffle(x) + # extract features + features = [] + x = self.conv_in(x) + for i in range(len(self.channels)): + for j in range(self.nums_rb): + idx = i * self.nums_rb + j + x = self.body[idx](x) + if self.xl: + features.append(None) + if i == 0: + features.append(None) + features.append(None) + if i == 2: + features.append(None) + else: + features.append(None) + features.append(None) + features.append(x) + + features = features[::-1] + + if self.xl: + return {"input": features[1:], "middle": features[:1]} + else: + return {"input": features} + + + +class LayerNorm(nn.LayerNorm): + """Subclass torch's LayerNorm to handle fp16.""" + + def forward(self, x: torch.Tensor): + orig_type = x.dtype + ret = super().forward(x.type(torch.float32)) + return ret.type(orig_type) + + +class QuickGELU(nn.Module): + + def forward(self, x: torch.Tensor): + return x * torch.sigmoid(1.702 * x) + + +class ResidualAttentionBlock(nn.Module): + + def __init__(self, d_model: int, n_head: int, attn_mask: torch.Tensor = None): + super().__init__() + + self.attn = nn.MultiheadAttention(d_model, n_head) + self.ln_1 = LayerNorm(d_model) + self.mlp = nn.Sequential( + OrderedDict([("c_fc", nn.Linear(d_model, d_model * 4)), ("gelu", QuickGELU()), + ("c_proj", nn.Linear(d_model * 4, d_model))])) + self.ln_2 = LayerNorm(d_model) + self.attn_mask = attn_mask + + def attention(self, x: torch.Tensor): + self.attn_mask = self.attn_mask.to(dtype=x.dtype, device=x.device) if self.attn_mask is not None else None + return self.attn(x, x, x, need_weights=False, attn_mask=self.attn_mask)[0] + + def forward(self, x: torch.Tensor): + x = x + self.attention(self.ln_1(x)) + x = x + self.mlp(self.ln_2(x)) + return x + + +class StyleAdapter(nn.Module): + + def __init__(self, width=1024, context_dim=768, num_head=8, n_layes=3, num_token=4): + super().__init__() + + scale = width ** -0.5 + self.transformer_layes = nn.Sequential(*[ResidualAttentionBlock(width, num_head) for _ in range(n_layes)]) + self.num_token = num_token + self.style_embedding = nn.Parameter(torch.randn(1, num_token, width) * scale) + self.ln_post = LayerNorm(width) + self.ln_pre = LayerNorm(width) + self.proj = nn.Parameter(scale * torch.randn(width, context_dim)) + + def forward(self, x): + # x shape [N, HW+1, C] + style_embedding = self.style_embedding + torch.zeros( + (x.shape[0], self.num_token, self.style_embedding.shape[-1]), device=x.device) + x = torch.cat([x, style_embedding], dim=1) + x = self.ln_pre(x) + x = x.permute(1, 0, 2) # NLD -> LND + x = self.transformer_layes(x) + x = x.permute(1, 0, 2) # LND -> NLD + + x = self.ln_post(x[:, -self.num_token:, :]) + x = x @ self.proj + + return x + + +class ResnetBlock_light(nn.Module): + def __init__(self, in_c): + super().__init__() + self.block1 = nn.Conv2d(in_c, in_c, 3, 1, 1) + self.act = nn.ReLU() + self.block2 = nn.Conv2d(in_c, in_c, 3, 1, 1) + + def forward(self, x): + h = self.block1(x) + h = self.act(h) + h = self.block2(h) + + return h + x + + +class extractor(nn.Module): + def __init__(self, in_c, inter_c, out_c, nums_rb, down=False): + super().__init__() + self.in_conv = nn.Conv2d(in_c, inter_c, 1, 1, 0) + self.body = [] + for _ in range(nums_rb): + self.body.append(ResnetBlock_light(inter_c)) + self.body = nn.Sequential(*self.body) + self.out_conv = nn.Conv2d(inter_c, out_c, 1, 1, 0) + self.down = down + if self.down == True: + self.down_opt = Downsample(in_c, use_conv=False) + + def forward(self, x): + if self.down == True: + x = self.down_opt(x) + x = self.in_conv(x) + x = self.body(x) + x = self.out_conv(x) + + return x + + +class Adapter_light(nn.Module): + def __init__(self, channels=[320, 640, 1280, 1280], nums_rb=3, cin=64): + super(Adapter_light, self).__init__() + self.unshuffle_amount = 8 + self.unshuffle = nn.PixelUnshuffle(self.unshuffle_amount) + self.input_channels = cin // (self.unshuffle_amount * self.unshuffle_amount) + self.channels = channels + self.nums_rb = nums_rb + self.body = [] + self.xl = False + + for i in range(len(channels)): + if i == 0: + self.body.append(extractor(in_c=cin, inter_c=channels[i]//4, out_c=channels[i], nums_rb=nums_rb, down=False)) + else: + self.body.append(extractor(in_c=channels[i-1], inter_c=channels[i]//4, out_c=channels[i], nums_rb=nums_rb, down=True)) + self.body = nn.ModuleList(self.body) + + def forward(self, x): + # unshuffle + x = self.unshuffle(x) + # extract features + features = [] + for i in range(len(self.channels)): + x = self.body[i](x) + features.append(None) + features.append(None) + features.append(x) + + return {"input": features[::-1]} diff --git a/comfy/taesd/taesd.py b/comfy/taesd/taesd.py new file mode 100644 index 0000000000000000000000000000000000000000..ce36f1a84dae599a35e84a8da3462408c0f0ccc6 --- /dev/null +++ b/comfy/taesd/taesd.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python3 +""" +Tiny AutoEncoder for Stable Diffusion +(DNN for encoding / decoding SD's latent space) +""" +import torch +import torch.nn as nn + +import comfy.utils +import comfy.ops + +def conv(n_in, n_out, **kwargs): + return comfy.ops.disable_weight_init.Conv2d(n_in, n_out, 3, padding=1, **kwargs) + +class Clamp(nn.Module): + def forward(self, x): + return torch.tanh(x / 3) * 3 + +class Block(nn.Module): + def __init__(self, n_in, n_out): + super().__init__() + self.conv = nn.Sequential(conv(n_in, n_out), nn.ReLU(), conv(n_out, n_out), nn.ReLU(), conv(n_out, n_out)) + self.skip = comfy.ops.disable_weight_init.Conv2d(n_in, n_out, 1, bias=False) if n_in != n_out else nn.Identity() + self.fuse = nn.ReLU() + def forward(self, x): + return self.fuse(self.conv(x) + self.skip(x)) + +def Encoder(latent_channels=4): + return nn.Sequential( + conv(3, 64), Block(64, 64), + conv(64, 64, stride=2, bias=False), Block(64, 64), Block(64, 64), Block(64, 64), + conv(64, 64, stride=2, bias=False), Block(64, 64), Block(64, 64), Block(64, 64), + conv(64, 64, stride=2, bias=False), Block(64, 64), Block(64, 64), Block(64, 64), + conv(64, latent_channels), + ) + + +def Decoder(latent_channels=4): + return nn.Sequential( + Clamp(), conv(latent_channels, 64), nn.ReLU(), + Block(64, 64), Block(64, 64), Block(64, 64), nn.Upsample(scale_factor=2), conv(64, 64, bias=False), + Block(64, 64), Block(64, 64), Block(64, 64), nn.Upsample(scale_factor=2), conv(64, 64, bias=False), + Block(64, 64), Block(64, 64), Block(64, 64), nn.Upsample(scale_factor=2), conv(64, 64, bias=False), + Block(64, 64), conv(64, 3), + ) + +class TAESD(nn.Module): + latent_magnitude = 3 + latent_shift = 0.5 + + def __init__(self, encoder_path=None, decoder_path=None, latent_channels=4): + """Initialize pretrained TAESD on the given device from the given checkpoints.""" + super().__init__() + self.taesd_encoder = Encoder(latent_channels=latent_channels) + self.taesd_decoder = Decoder(latent_channels=latent_channels) + self.vae_scale = torch.nn.Parameter(torch.tensor(1.0)) + self.vae_shift = torch.nn.Parameter(torch.tensor(0.0)) + if encoder_path is not None: + self.taesd_encoder.load_state_dict(comfy.utils.load_torch_file(encoder_path, safe_load=True)) + if decoder_path is not None: + self.taesd_decoder.load_state_dict(comfy.utils.load_torch_file(decoder_path, safe_load=True)) + + @staticmethod + def scale_latents(x): + """raw latents -> [0, 1]""" + return x.div(2 * TAESD.latent_magnitude).add(TAESD.latent_shift).clamp(0, 1) + + @staticmethod + def unscale_latents(x): + """[0, 1] -> raw latents""" + return x.sub(TAESD.latent_shift).mul(2 * TAESD.latent_magnitude) + + def decode(self, x): + x_sample = self.taesd_decoder((x - self.vae_shift) * self.vae_scale) + x_sample = x_sample.sub(0.5).mul(2) + return x_sample + + def encode(self, x): + return (self.taesd_encoder(x * 0.5 + 0.5) / self.vae_scale) + self.vae_shift diff --git a/comfy/text_encoders/ace.py b/comfy/text_encoders/ace.py new file mode 100644 index 0000000000000000000000000000000000000000..d650bb10d5d5bfdd485f18095e4a99ed7b06b6b7 --- /dev/null +++ b/comfy/text_encoders/ace.py @@ -0,0 +1,153 @@ +from comfy import sd1_clip +from .spiece_tokenizer import SPieceTokenizer +import comfy.text_encoders.t5 +import os +import re +import torch +import logging + +from tokenizers import Tokenizer +from .ace_text_cleaners import multilingual_cleaners, japanese_to_romaji + +SUPPORT_LANGUAGES = { + "en": 259, "de": 260, "fr": 262, "es": 284, "it": 285, + "pt": 286, "pl": 294, "tr": 295, "ru": 267, "cs": 293, + "nl": 297, "ar": 5022, "zh": 5023, "ja": 5412, "hu": 5753, + "ko": 6152, "hi": 6680 +} + +structure_pattern = re.compile(r"\[.*?\]") + +DEFAULT_VOCAB_FILE = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "ace_lyrics_tokenizer"), "vocab.json") + + +class VoiceBpeTokenizer: + def __init__(self, vocab_file=DEFAULT_VOCAB_FILE): + self.tokenizer = None + if vocab_file is not None: + self.tokenizer = Tokenizer.from_file(vocab_file) + + def preprocess_text(self, txt, lang): + txt = multilingual_cleaners(txt, lang) + return txt + + def encode(self, txt, lang='en'): + # lang = lang.split("-")[0] # remove the region + # self.check_input_length(txt, lang) + txt = self.preprocess_text(txt, lang) + lang = "zh-cn" if lang == "zh" else lang + txt = f"[{lang}]{txt}" + txt = txt.replace(" ", "[SPACE]") + return self.tokenizer.encode(txt).ids + + def get_lang(self, line): + if line.startswith("[") and line[3:4] == ']': + lang = line[1:3].lower() + if lang in SUPPORT_LANGUAGES: + return lang, line[4:] + return "en", line + + def __call__(self, string): + lines = string.split("\n") + lyric_token_idx = [261] + for line in lines: + line = line.strip() + if not line: + lyric_token_idx += [2] + continue + + lang, line = self.get_lang(line) + + if lang not in SUPPORT_LANGUAGES: + lang = "en" + if "zh" in lang: + lang = "zh" + if "spa" in lang: + lang = "es" + + try: + line_out = japanese_to_romaji(line) + if line_out != line: + lang = "ja" + line = line_out + except: + pass + + try: + if structure_pattern.match(line): + token_idx = self.encode(line, "en") + else: + token_idx = self.encode(line, lang) + lyric_token_idx = lyric_token_idx + token_idx + [2] + except Exception as e: + logging.warning("tokenize error {} for line {} major_language {}".format(e, line, lang)) + return {"input_ids": lyric_token_idx} + + @staticmethod + def from_pretrained(path, **kwargs): + return VoiceBpeTokenizer(path, **kwargs) + + def get_vocab(self): + return {} + + +class UMT5BaseModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "umt5_config_base.json") + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=False, model_options=model_options) + +class UMT5BaseTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer = tokenizer_data.get("spiece_model", None) + super().__init__(tokenizer, pad_with_end=False, embedding_size=768, embedding_key='umt5base', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, pad_token=0, tokenizer_data=tokenizer_data) + + def state_dict(self): + return {"spiece_model": self.tokenizer.serialize_model()} + +class LyricsTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "ace_lyrics_tokenizer"), "vocab.json") + super().__init__(tokenizer, pad_with_end=False, embedding_size=1024, embedding_key='lyrics', tokenizer_class=VoiceBpeTokenizer, has_start_token=True, pad_to_max_length=False, max_length=99999999, min_length=1, pad_token=2, has_end_token=False, tokenizer_data=tokenizer_data) + +class AceT5Tokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + self.voicebpe = LyricsTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.umt5base = UMT5BaseTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out["lyrics"] = self.voicebpe.tokenize_with_weights(kwargs.get("lyrics", ""), return_word_ids, **kwargs) + out["umt5base"] = self.umt5base.tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return self.umt5base.untokenize(token_weight_pair) + + def state_dict(self): + return self.umt5base.state_dict() + +class AceT5Model(torch.nn.Module): + def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): + super().__init__() + self.umt5base = UMT5BaseModel(device=device, dtype=dtype, model_options=model_options) + self.dtypes = set() + if dtype is not None: + self.dtypes.add(dtype) + + def set_clip_options(self, options): + self.umt5base.set_clip_options(options) + + def reset_clip_options(self): + self.umt5base.reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs_umt5base = token_weight_pairs["umt5base"] + token_weight_pairs_lyrics = token_weight_pairs["lyrics"] + + t5_out, t5_pooled = self.umt5base.encode_token_weights(token_weight_pairs_umt5base) + + lyrics_embeds = torch.tensor(list(map(lambda a: a[0], token_weight_pairs_lyrics[0]))).unsqueeze(0) + return t5_out, None, {"conditioning_lyrics": lyrics_embeds} + + def load_sd(self, sd): + return self.umt5base.load_sd(sd) diff --git a/comfy/text_encoders/ace_lyrics_tokenizer/vocab.json b/comfy/text_encoders/ace_lyrics_tokenizer/vocab.json new file mode 100644 index 0000000000000000000000000000000000000000..519ed340c36e19dfe15ccffd7aa5a31a261d70a5 --- /dev/null +++ b/comfy/text_encoders/ace_lyrics_tokenizer/vocab.json @@ -0,0 +1,15535 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "special": true, + "content": "[STOP]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 1, + "special": true, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 2, + "special": true, + "content": "[SPACE]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 259, + "special": true, + "content": "[en]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 260, + "special": true, + "content": "[de]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 261, + "special": true, + "content": "[START]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 262, + "special": true, + "content": "[fr]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 284, + "special": true, + "content": "[es]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 285, + "special": true, + "content": "[it]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 286, + "special": true, + "content": "[pt]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 294, + "special": true, + "content": "[pl]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 295, + "special": true, + "content": "[tr]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 267, + "special": true, + "content": "[ru]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 293, + "special": true, + "content": "[cs]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 297, + "special": true, + "content": "[nl]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 5022, + "special": true, + "content": "[ar]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 5023, + "special": true, + "content": "[zh-cn]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 5412, + "special": true, + "content": "[ja]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 5753, + "special": true, + "content": "[hu]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6152, + "special": true, + "content": "[ko]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6680, + "special": true, + "content": "[hi]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6681, + "special": true, + "content": "[start]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6682, + "special": true, + "content": "[intro]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6683, + "special": true, + "content": "[verse]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6684, + "special": true, + "content": "[chorus]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6685, + "special": true, + "content": "[bridge]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6686, + "special": true, + "content": "[outro]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6687, + "special": true, + "content": "[end]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6688, + "special": true, + "content": "[inst]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6689, + "special": true, + "content": "[solo]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6690, + "special": true, + "content": "[hook]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6691, + "special": true, + "content": "[pre-chorus]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + }, + { + "id": 6692, + "special": true, + "content": "[break]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "Whitespace" + }, + "post_processor": null, + "decoder": null, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": "[UNK]", + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "vocab": { + "[STOP]": 0, + "[UNK]": 1, + "[SPACE]": 2, + "!": 3, + "'": 4, + "(": 5, + ")": 6, + ",": 7, + "-": 8, + ".": 9, + "/": 10, + ":": 11, + ";": 12, + "?": 13, + "a": 14, + "b": 15, + "c": 16, + "d": 17, + "e": 18, + "f": 19, + "g": 20, + "h": 21, + "i": 22, + "j": 23, + "k": 24, + "l": 25, + "m": 26, + "n": 27, + "o": 28, + "p": 29, + "q": 30, + "r": 31, + "s": 32, + "t": 33, + "u": 34, + "v": 35, + "w": 36, + "x": 37, + "y": 38, + "z": 39, + "th": 40, + "in": 41, + "the": 42, + "an": 43, + "er": 44, + "ou": 45, + "re": 46, + "on": 47, + "at": 48, + "ed": 49, + "en": 50, + "to": 51, + "ing": 52, + "and": 53, + "is": 54, + "as": 55, + "al": 56, + "or": 57, + "of": 58, + "ar": 59, + "it": 60, + "es": 61, + "he": 62, + "st": 63, + "le": 64, + "om": 65, + "se": 66, + "be": 67, + "ad": 68, + "ow": 69, + "ly": 70, + "ch": 71, + "wh": 72, + "that": 73, + "you": 74, + "li": 75, + "ve": 76, + "ac": 77, + "ti": 78, + "ld": 79, + "me": 80, + "was": 81, + "gh": 82, + "id": 83, + "ll": 84, + "wi": 85, + "ent": 86, + "for": 87, + "ay": 88, + "ro": 89, + "ver": 90, + "ic": 91, + "her": 92, + "ke": 93, + "his": 94, + "no": 95, + "ut": 96, + "un": 97, + "ir": 98, + "lo": 99, + "we": 100, + "ri": 101, + "ha": 102, + "with": 103, + "ght": 104, + "out": 105, + "im": 106, + "ion": 107, + "all": 108, + "ab": 109, + "one": 110, + "ne": 111, + "ge": 112, + "ould": 113, + "ter": 114, + "mo": 115, + "had": 116, + "ce": 117, + "she": 118, + "go": 119, + "sh": 120, + "ur": 121, + "am": 122, + "so": 123, + "pe": 124, + "my": 125, + "de": 126, + "are": 127, + "but": 128, + "ome": 129, + "fr": 130, + "ther": 131, + "fe": 132, + "su": 133, + "do": 134, + "con": 135, + "te": 136, + "ain": 137, + "ere": 138, + "po": 139, + "if": 140, + "they": 141, + "us": 142, + "ag": 143, + "tr": 144, + "now": 145, + "oun": 146, + "this": 147, + "have": 148, + "not": 149, + "sa": 150, + "il": 151, + "up": 152, + "thing": 153, + "from": 154, + "ap": 155, + "him": 156, + "ack": 157, + "ation": 158, + "ant": 159, + "our": 160, + "op": 161, + "like": 162, + "ust": 163, + "ess": 164, + "bo": 165, + "ok": 166, + "ul": 167, + "ind": 168, + "ex": 169, + "com": 170, + "some": 171, + "there": 172, + "ers": 173, + "co": 174, + "res": 175, + "man": 176, + "ard": 177, + "pl": 178, + "wor": 179, + "way": 180, + "tion": 181, + "fo": 182, + "ca": 183, + "were": 184, + "by": 185, + "ate": 186, + "pro": 187, + "ted": 188, + "ound": 189, + "own": 190, + "would": 191, + "ts": 192, + "what": 193, + "qu": 194, + "ally": 195, + "ight": 196, + "ck": 197, + "gr": 198, + "when": 199, + "ven": 200, + "can": 201, + "ough": 202, + "ine": 203, + "end": 204, + "per": 205, + "ous": 206, + "od": 207, + "ide": 208, + "know": 209, + "ty": 210, + "very": 211, + "si": 212, + "ak": 213, + "who": 214, + "about": 215, + "ill": 216, + "them": 217, + "est": 218, + "red": 219, + "ye": 220, + "could": 221, + "ong": 222, + "your": 223, + "their": 224, + "em": 225, + "just": 226, + "other": 227, + "into": 228, + "any": 229, + "whi": 230, + "um": 231, + "tw": 232, + "ast": 233, + "der": 234, + "did": 235, + "ie": 236, + "been": 237, + "ace": 238, + "ink": 239, + "ity": 240, + "back": 241, + "ting": 242, + "br": 243, + "more": 244, + "ake": 245, + "pp": 246, + "then": 247, + "sp": 248, + "el": 249, + "use": 250, + "bl": 251, + "said": 252, + "over": 253, + "get": 254, + "ß": 255, + "ä": 256, + "ö": 257, + "ü": 258, + "[en]": 259, + "[de]": 260, + "[START]": 261, + "[fr]": 262, + "œ": 263, + "ï": 264, + "ê": 265, + "â": 266, + "[ru]": 267, + "ÿ": 268, + "è": 269, + "à": 270, + "ë": 271, + "ù": 272, + "î": 273, + "ç": 274, + "æ": 275, + "ô": 276, + "û": 277, + "á": 278, + "é": 279, + "í": 280, + "ó": 281, + "ú": 282, + "ñ": 283, + "[es]": 284, + "[it]": 285, + "[pt]": 286, + "ń": 287, + "ś": 288, + "ę": 289, + "ą": 290, + "ż": 291, + "ć": 292, + "[cs]": 293, + "[pl]": 294, + "[tr]": 295, + "ã": 296, + "[nl]": 297, + "ş": 298, + "ğ": 299, + "ı": 300, + "ò": 301, + "ì": 302, + "¿": 303, + "…": 304, + "i̇": 305, + "õ": 306, + "\"": 307, + "´": 308, + "ø": 309, + "č": 310, + "ō": 311, + "š": 312, + "ž": 313, + "̇": 314, + "ei": 315, + "ich": 316, + "ein": 317, + "au": 318, + "sch": 319, + "und": 320, + "die": 321, + "da": 322, + "den": 323, + "gen": 324, + "zu": 325, + "hr": 326, + "ten": 327, + "mi": 328, + "sie": 329, + "das": 330, + "eine": 331, + "icht": 332, + "ber": 333, + "ach": 334, + "auf": 335, + "lich": 336, + "nicht": 337, + "mm": 338, + "ben": 339, + "war": 340, + "mit": 341, + "sich": 342, + "ig": 343, + "aus": 344, + "ist": 345, + "wie": 346, + "och": 347, + "ung": 348, + "ann": 349, + "ür": 350, + "hn": 351, + "ihr": 352, + "sen": 353, + "tz": 354, + "dem": 355, + "eit": 356, + "hat": 357, + "wir": 358, + "von": 359, + "wei": 360, + "ier": 361, + "ra": 362, + "einen": 363, + "vor": 364, + "als": 365, + "wo": 366, + "rei": 367, + "ste": 368, + "lie": 369, + "auch": 370, + "du": 371, + "des": 372, + "ko": 373, + "über": 374, + "bei": 375, + "hen": 376, + "hm": 377, + "lei": 378, + "aber": 379, + "wen": 380, + "hl": 381, + "ger": 382, + "nach": 383, + "ft": 384, + "imm": 385, + "je": 386, + "schen": 387, + "wer": 388, + "ser": 389, + "än": 390, + "sein": 391, + "ol": 392, + "cht": 393, + "für": 394, + "kl": 395, + "ff": 396, + "einem": 397, + "nen": 398, + "ja": 399, + "noch": 400, + "hatte": 401, + "pf": 402, + "hin": 403, + "di": 404, + "chen": 405, + "rü": 406, + "iel": 407, + "sel": 408, + "dass": 409, + "ihn": 410, + "mir": 411, + "schl": 412, + "ön": 413, + "gan": 414, + "gt": 415, + "einer": 416, + "sten": 417, + "mich": 418, + "wenn": 419, + "ell": 420, + "gte": 421, + "mal": 422, + "gel": 423, + "ken": 424, + "nur": 425, + "mmen": 426, + "fü": 427, + "ern": 428, + "ör": 429, + "unter": 430, + "ander": 431, + "dur": 432, + "uch": 433, + "ta": 434, + "men": 435, + "mach": 436, + "doch": 437, + "durch": 438, + "os": 439, + "gl": 440, + "hal": 441, + "ihre": 442, + "wä": 443, + "immer": 444, + "ihm": 445, + "kann": 446, + "ort": 447, + "dann": 448, + "lan": 449, + "tzt": 450, + "oder": 451, + "hren": 452, + "et": 453, + "kön": 454, + "ick": 455, + "fa": 456, + "wieder": 457, + "daß": 458, + "mein": 459, + "fen": 460, + "ganz": 461, + "diese": 462, + "ster": 463, + "dar": 464, + "wa": 465, + "ges": 466, + "na": 467, + "fl": 468, + "igen": 469, + "sche": 470, + "ungen": 471, + "mehr": 472, + "ßen": 473, + "ot": 474, + "kon": 475, + "gew": 476, + "haben": 477, + "geh": 478, + "ät": 479, + "sind": 480, + "dr": 481, + "wel": 482, + "uns": 483, + "vo": 484, + "ma": 485, + "ute": 486, + "schon": 487, + "bes": 488, + "gesch": 489, + "bt": 490, + "che": 491, + "son": 492, + "ob": 493, + "la": 494, + "rück": 495, + "seine": 496, + "kr": 497, + "fre": 498, + "eil": 499, + "zum": 500, + "hier": 501, + "kt": 502, + "ige": 503, + "spr": 504, + "leben": 505, + "bst": 506, + "zeit": 507, + "gro": 508, + "denn": 509, + "ho": 510, + "scha": 511, + "bar": 512, + "alle": 513, + "gegen": 514, + "wür": 515, + "mü": 516, + "ze": 517, + "werden": 518, + "jetzt": 519, + "kommen": 520, + "nie": 521, + "sei": 522, + "heit": 523, + "soll": 524, + "glei": 525, + "meine": 526, + "woll": 527, + "ner": 528, + "habe": 529, + "wur": 530, + "lichen": 531, + "assen": 532, + "nte": 533, + "sehen": 534, + "wird": 535, + "bis": 536, + "gar": 537, + "ien": 538, + "mus": 539, + "uß": 540, + "är": 541, + "stell": 542, + "keit": 543, + "zwei": 544, + "selbst": 545, + "sta": 546, + "pa": 547, + "sagte": 548, + "tet": 549, + "kam": 550, + "ssen": 551, + "viel": 552, + "ug": 553, + "zen": 554, + "hei": 555, + "mann": 556, + "will": 557, + "geb": 558, + "waren": 559, + "ück": 560, + "äch": 561, + "mer": 562, + "ru": 563, + "hau": 564, + "eigen": 565, + "ang": 566, + "weg": 567, + "blick": 568, + "fra": 569, + "alles": 570, + "ka": 571, + "augen": 572, + "fin": 573, + "liche": 574, + "unser": 575, + "dern": 576, + "herr": 577, + "nun": 578, + "vie": 579, + "chte": 580, + "wohl": 581, + "fall": 582, + "ht": 583, + "ün": 584, + "etwas": 585, + "stand": 586, + "äu": 587, + "mö": 588, + "tel": 589, + "rie": 590, + "dich": 591, + "dies": 592, + "hand": 593, + "bin": 594, + "ffen": 595, + "nichts": 596, + "dan": 597, + "hne": 598, + "ihnen": 599, + "esen": 600, + "dieser": 601, + "frau": 602, + "art": 603, + "dir": 604, + "isch": 605, + "erst": 606, + "gleich": 607, + "komm": 608, + "hör": 609, + "ße": 610, + "dig": 611, + "sehr": 612, + "zei": 613, + "sam": 614, + "aum": 615, + "hät": 616, + "ingen": 617, + "gut": 618, + "mut": 619, + "cken": 620, + "konnte": 621, + "stimm": 622, + "zur": 623, + "itz": 624, + "weil": 625, + "würde": 626, + "fä": 627, + "können": 628, + "keine": 629, + "fer": 630, + "ischen": 631, + "voll": 632, + "eines": 633, + "setz": 634, + "zie": 635, + "del": 636, + "tete": 637, + "seiner": 638, + "ieren": 639, + "gest": 640, + "zurück": 641, + "wurde": 642, + "schn": 643, + "pr": 644, + "ließ": 645, + "tra": 646, + "mä": 647, + "gend": 648, + "fol": 649, + "ik": 650, + "schla": 651, + "schaft": 652, + "ater": 653, + "weiß": 654, + "seinen": 655, + "lassen": 656, + "lu": 657, + "unden": 658, + "teil": 659, + "neu": 660, + "iert": 661, + "menschen": 662, + "hmen": 663, + "str": 664, + "gi": 665, + "sah": 666, + "ihren": 667, + "eln": 668, + "weiter": 669, + "gehen": 670, + "iger": 671, + "macht": 672, + "tag": 673, + "also": 674, + "halten": 675, + "nis": 676, + "acht": 677, + "geben": 678, + "og": 679, + "nat": 680, + "mar": 681, + "det": 682, + "ohne": 683, + "haus": 684, + "tro": 685, + "ange": 686, + "lau": 687, + "spiel": 688, + "tre": 689, + "schr": 690, + "inn": 691, + "los": 692, + "machen": 693, + "hätte": 694, + "beg": 695, + "wirk": 696, + "alt": 697, + "glich": 698, + "tes": 699, + "richt": 700, + "freund": 701, + "ihrer": 702, + "fel": 703, + "bel": 704, + "sol": 705, + "einmal": 706, + "eben": 707, + "hol": 708, + "hän": 709, + "tern": 710, + "hö": 711, + "schw": 712, + "recht": 713, + "wahr": 714, + "seinem": 715, + "stehen": 716, + "hlen": 717, + "ins": 718, + "ging": 719, + "wollte": 720, + "wissen": 721, + "ungs": 722, + "ald": 723, + "ass": 724, + "jahr": 725, + "mor": 726, + "welt": 727, + "under": 728, + "zusa": 729, + "kopf": 730, + "lang": 731, + "hinter": 732, + "atz": 733, + "stra": 734, + "angen": 735, + "ank": 736, + "ade": 737, + "glau": 738, + "fach": 739, + "hatten": 740, + "fort": 741, + "eicht": 742, + "iff": 743, + "ler": 744, + "mei": 745, + "diesem": 746, + "kein": 747, + "frei": 748, + "führ": 749, + "vom": 750, + "β": 751, + "ai": 752, + "ait": 753, + "que": 754, + "les": 755, + "av": 756, + "ais": 757, + "oi": 758, + "eu": 759, + "lle": 760, + "par": 761, + "ans": 762, + "ment": 763, + "ét": 764, + "une": 765, + "pas": 766, + "qui": 767, + "elle": 768, + "dé": 769, + "pour": 770, + "dans": 771, + "ré": 772, + "tou": 773, + "vous": 774, + "vi": 775, + "ouv": 776, + "mon": 777, + "sur": 778, + "ci": 779, + "plu": 780, + "ère": 781, + "mais": 782, + "ois": 783, + "plus": 784, + "ée": 785, + "aient": 786, + "mp": 787, + "lui": 788, + "ave": 789, + "était": 790, + "ses": 791, + "tout": 792, + "oir": 793, + "avait": 794, + "és": 795, + "mes": 796, + "nous": 797, + "eux": 798, + "bi": 799, + "ons": 800, + "pu": 801, + "ces": 802, + "tu": 803, + "leur": 804, + "don": 805, + "eur": 806, + "ette": 807, + "aire": 808, + "avec": 809, + "dit": 810, + "té": 811, + "ille": 812, + "comme": 813, + "cr": 814, + "ux": 815, + "ès": 816, + "aux": 817, + "jour": 818, + "ils": 819, + "bien": 820, + "cou": 821, + "quel": 822, + "peu": 823, + "cette": 824, + "cu": 825, + "mê": 826, + "fait": 827, + "gu": 828, + "être": 829, + "ité": 830, + "ens": 831, + "ni": 832, + "lé": 833, + "dis": 834, + "ble": 835, + "né": 836, + "puis": 837, + "même": 838, + "ques": 839, + "fi": 840, + "age": 841, + "moi": 842, + "ence": 843, + "ont": 844, + "main": 845, + "ors": 846, + "aut": 847, + "ance": 848, + "mé": 849, + "sans": 850, + "sé": 851, + "lon": 852, + "hom": 853, + "car": 854, + "able": 855, + "cher": 856, + "deux": 857, + "enf": 858, + "où": 859, + "ph": 860, + "ure": 861, + "temp": 862, + "pos": 863, + "rent": 864, + "pé": 865, + "faire": 866, + "pi": 867, + "tres": 868, + "ça": 869, + "endre": 870, + "bon": 871, + "sou": 872, + "int": 873, + "pré": 874, + "sent": 875, + "tant": 876, + "cer": 877, + "là": 878, + "lais": 879, + "près": 880, + "bre": 881, + "cour": 882, + "pet": 883, + "comp": 884, + "lait": 885, + "trouv": 886, + "entre": 887, + "sont": 888, + "dev": 889, + "nu": 890, + "temps": 891, + "dou": 892, + "rait": 893, + "bou": 894, + "quand": 895, + "jours": 896, + "avoir": 897, + "été": 898, + "ale": 899, + "pre": 900, + "fois": 901, + "orte": 902, + "vé": 903, + "non": 904, + "tous": 905, + "jus": 906, + "coup": 907, + "homme": 908, + "ête": 909, + "aussi": 910, + "urs": 911, + "seu": 912, + "ord": 913, + "min": 914, + "gé": 915, + "core": 916, + "va": 917, + "vre": 918, + "encore": 919, + "sem": 920, + "ite": 921, + "autre": 922, + "pris": 923, + "peut": 924, + "ue": 925, + "ante": 926, + "gn": 927, + "rép": 928, + "hu": 929, + "sion": 930, + "votre": 931, + "dire": 932, + "ez": 933, + "fem": 934, + "leurs": 935, + "met": 936, + "cri": 937, + "mis": 938, + "tour": 939, + "rai": 940, + "jam": 941, + "regar": 942, + "rien": 943, + "vers": 944, + "suis": 945, + "pouv": 946, + "vis": 947, + "grand": 948, + "ants": 949, + "cor": 950, + "rer": 951, + "cé": 952, + "tent": 953, + "pres": 954, + "vou": 955, + "alors": 956, + "sieur": 957, + "aine": 958, + "quoi": 959, + "fon": 960, + "endant": 961, + "arri": 962, + "eure": 963, + "après": 964, + "donc": 965, + "itu": 966, + "lè": 967, + "sait": 968, + "toi": 969, + "cha": 970, + "ail": 971, + "asse": 972, + "imp": 973, + "voy": 974, + "conn": 975, + "pla": 976, + "petit": 977, + "avant": 978, + "nom": 979, + "tin": 980, + "dont": 981, + "sous": 982, + "emp": 983, + "person": 984, + "elles": 985, + "beau": 986, + "parti": 987, + "cho": 988, + "prit": 989, + "toujours": 990, + "rais": 991, + "jamais": 992, + "trav": 993, + "tions": 994, + "très": 995, + "voi": 996, + "ren": 997, + "yeux": 998, + "voir": 999, + "premi": 1000, + "gne": 1001, + "heure": 1002, + "rou": 1003, + "eff": 1004, + "notre": 1005, + "ments": 1006, + "ton": 1007, + "fais": 1008, + "cela": 1009, + "répon": 1010, + "cons": 1011, + "air": 1012, + "ôt": 1013, + "pendant": 1014, + "ici": 1015, + "toute": 1016, + "jet": 1017, + "port": 1018, + "étaient": 1019, + "pen": 1020, + "hé": 1021, + "autres": 1022, + "père": 1023, + "oc": 1024, + "quelques": 1025, + "ique": 1026, + "lis": 1027, + "femme": 1028, + "jou": 1029, + "teur": 1030, + "monde": 1031, + "nes": 1032, + "dre": 1033, + "aff": 1034, + "rap": 1035, + "part": 1036, + "lement": 1037, + "cla": 1038, + "fut": 1039, + "quelque": 1040, + "prendre": 1041, + "rê": 1042, + "aille": 1043, + "sais": 1044, + "ches": 1045, + "let": 1046, + "char": 1047, + "ères": 1048, + "ents": 1049, + "moins": 1050, + "eau": 1051, + "aî": 1052, + "jeu": 1053, + "heur": 1054, + "ées": 1055, + "tri": 1056, + "point": 1057, + "mom": 1058, + "vent": 1059, + "nouv": 1060, + "gran": 1061, + "trois": 1062, + "sant": 1063, + "toutes": 1064, + "contre": 1065, + "èrent": 1066, + "chez": 1067, + "avez": 1068, + "ût": 1069, + "att": 1070, + "pau": 1071, + "porte": 1072, + "ouver": 1073, + "lit": 1074, + "prés": 1075, + "chose": 1076, + "vit": 1077, + "monsieur": 1078, + "hab": 1079, + "tête": 1080, + "ju": 1081, + "tement": 1082, + "ction": 1083, + "vrai": 1084, + "lar": 1085, + "cet": 1086, + "regard": 1087, + "lant": 1088, + "som": 1089, + "moment": 1090, + "illes": 1091, + "ple": 1092, + "ps": 1093, + "mère": 1094, + "cl": 1095, + "sour": 1096, + "ys": 1097, + "trop": 1098, + "enne": 1099, + "jusqu": 1100, + "avaient": 1101, + "avais": 1102, + "jeune": 1103, + "depuis": 1104, + "personne": 1105, + "fit": 1106, + "cert": 1107, + "jo": 1108, + "oui": 1109, + "rest": 1110, + "semb": 1111, + "cap": 1112, + "mat": 1113, + "mu": 1114, + "long": 1115, + "fran": 1116, + "faut": 1117, + "iti": 1118, + "bli": 1119, + "chev": 1120, + "pri": 1121, + "ente": 1122, + "ainsi": 1123, + "cham": 1124, + "lors": 1125, + "cas": 1126, + "ili": 1127, + "bé": 1128, + "nos": 1129, + "sui": 1130, + "rit": 1131, + "cro": 1132, + "gue": 1133, + "ía": 1134, + "por": 1135, + "las": 1136, + "ón": 1137, + "una": 1138, + "aba": 1139, + "dos": 1140, + "era": 1141, + "mb": 1142, + "para": 1143, + "ás": 1144, + "mos": 1145, + "ando": 1146, + "como": 1147, + "más": 1148, + "ción": 1149, + "tan": 1150, + "dad": 1151, + "ado": 1152, + "fu": 1153, + "cia": 1154, + "mente": 1155, + "sus": 1156, + "tar": 1157, + "za": 1158, + "ba": 1159, + "pero": 1160, + "sin": 1161, + "lla": 1162, + "án": 1163, + "ia": 1164, + "ran": 1165, + "ga": 1166, + "yo": 1167, + "tos": 1168, + "cos": 1169, + "ya": 1170, + "ones": 1171, + "había": 1172, + "hi": 1173, + "esta": 1174, + "mas": 1175, + "tor": 1176, + "aban": 1177, + "dor": 1178, + "ían": 1179, + "tas": 1180, + "én": 1181, + "endo": 1182, + "aque": 1183, + "ero": 1184, + "io": 1185, + "qué": 1186, + "cab": 1187, + "tal": 1188, + "señ": 1189, + "ora": 1190, + "todo": 1191, + "sal": 1192, + "cuando": 1193, + "gun": 1194, + "bu": 1195, + "ras": 1196, + "esto": 1197, + "pare": 1198, + "él": 1199, + "tras": 1200, + "jos": 1201, + "mien": 1202, + "pue": 1203, + "cre": 1204, + "pon": 1205, + "día": 1206, + "tros": 1207, + "sab": 1208, + "sobre": 1209, + "ese": 1210, + "mbre": 1211, + "eron": 1212, + "añ": 1213, + "ido": 1214, + "porque": 1215, + "ella": 1216, + "cen": 1217, + "muy": 1218, + "cal": 1219, + "este": 1220, + "has": 1221, + "có": 1222, + "gra": 1223, + "ros": 1224, + "aquel": 1225, + "dijo": 1226, + "cía": 1227, + "zo": 1228, + "ciones": 1229, + "mbi": 1230, + "elo": 1231, + "tó": 1232, + "ina": 1233, + "todos": 1234, + "tien": 1235, + "estaba": 1236, + "deci": 1237, + "cio": 1238, + "ño": 1239, + "lor": 1240, + "nues": 1241, + "medi": 1242, + "len": 1243, + "vida": 1244, + "ali": 1245, + "pues": 1246, + "ales": 1247, + "vol": 1248, + "mí": 1249, + "rar": 1250, + "cion": 1251, + "hasta": 1252, + "señor": 1253, + "cono": 1254, + "ah": 1255, + "dios": 1256, + "esa": 1257, + "ún": 1258, + "var": 1259, + "san": 1260, + "gui": 1261, + "otros": 1262, + "tado": 1263, + "buen": 1264, + "ña": 1265, + "tiemp": 1266, + "hacer": 1267, + "jer": 1268, + "vu": 1269, + "ana": 1270, + "así": 1271, + "antes": 1272, + "vez": 1273, + "miento": 1274, + "jar": 1275, + "lab": 1276, + "casa": 1277, + "eso": 1278, + "ego": 1279, + "dió": 1280, + "está": 1281, + "encia": 1282, + "eli": 1283, + "ías": 1284, + "tiempo": 1285, + "zar": 1286, + "van": 1287, + "mun": 1288, + "erta": 1289, + "tambi": 1290, + "sí": 1291, + "aun": 1292, + "mismo": 1293, + "entes": 1294, + "mano": 1295, + "ele": 1296, + "nada": 1297, + "segu": 1298, + "mej": 1299, + "erra": 1300, + "tir": 1301, + "uno": 1302, + "donde": 1303, + "toda": 1304, + "desde": 1305, + "también": 1306, + "cuer": 1307, + "hombre": 1308, + "otro": 1309, + "lib": 1310, + "trar": 1311, + "cual": 1312, + "hay": 1313, + "cada": 1314, + "taba": 1315, + "mento": 1316, + "tenía": 1317, + "quer": 1318, + "eran": 1319, + "siemp": 1320, + "siempre": 1321, + "erto": 1322, + "quí": 1323, + "gos": 1324, + "pués": 1325, + "ellos": 1326, + "después": 1327, + "nue": 1328, + "llo": 1329, + "inter": 1330, + "cómo": 1331, + "ahora": 1332, + "uste": 1333, + "traba": 1334, + "lado": 1335, + "ino": 1336, + "poco": 1337, + "erte": 1338, + "mujer": 1339, + "quier": 1340, + "algun": 1341, + "fue": 1342, + "ojos": 1343, + "enton": 1344, + "vos": 1345, + "esper": 1346, + "much": 1347, + "otra": 1348, + "az": 1349, + "eza": 1350, + "aquí": 1351, + "cias": 1352, + "gua": 1353, + "mucho": 1354, + "decir": 1355, + "esti": 1356, + "idad": 1357, + "algo": 1358, + "ocu": 1359, + "entonces": 1360, + "dido": 1361, + "entos": 1362, + "gri": 1363, + "dado": 1364, + "ios": 1365, + "dose": 1366, + "usted": 1367, + "quien": 1368, + "ami": 1369, + "unto": 1370, + "mejor": 1371, + "bas": 1372, + "solo": 1373, + "pregun": 1374, + "tur": 1375, + "alg": 1376, + "todas": 1377, + "parte": 1378, + "emb": 1379, + "cto": 1380, + "mundo": 1381, + "tiene": 1382, + "tante": 1383, + "palab": 1384, + "tran": 1385, + "aquella": 1386, + "cios": 1387, + "aunque": 1388, + "cuen": 1389, + "tener": 1390, + "fun": 1391, + "respon": 1392, + "allí": 1393, + "xi": 1394, + "han": 1395, + "pens": 1396, + "contra": 1397, + "tura": 1398, + "val": 1399, + "dio": 1400, + "tanto": 1401, + "camin": 1402, + "mó": 1403, + "esp": 1404, + "ada": 1405, + "ío": 1406, + "hacia": 1407, + "dej": 1408, + "estar": 1409, + "ión": 1410, + "gas": 1411, + "vas": 1412, + "noche": 1413, + "ér": 1414, + "años": 1415, + "padre": 1416, + "gus": 1417, + "ár": 1418, + "sino": 1419, + "manos": 1420, + "cido": 1421, + "estu": 1422, + "hubi": 1423, + "vir": 1424, + "bri": 1425, + "raz": 1426, + "chi": 1427, + "puede": 1428, + "menos": 1429, + "habi": 1430, + "homb": 1431, + "neces": 1432, + "may": 1433, + "eros": 1434, + "ría": 1435, + "hecho": 1436, + "escu": 1437, + "lti": 1438, + "ándo": 1439, + "bus": 1440, + "cosas": 1441, + "tú": 1442, + "espa": 1443, + "reci": 1444, + "ctor": 1445, + "prim": 1446, + "dia": 1447, + "dese": 1448, + "mientras": 1449, + "hor": 1450, + "fuer": 1451, + "ida": 1452, + "posi": 1453, + "lante": 1454, + "ano": 1455, + "estas": 1456, + "pli": 1457, + "luego": 1458, + "sión": 1459, + "cin": 1460, + "tierra": 1461, + "guar": 1462, + "cado": 1463, + "encon": 1464, + "pren": 1465, + "mayor": 1466, + "fal": 1467, + "ð": 1468, + "ħ": 1469, + "ň": 1470, + "ə": 1471, + "θ": 1472, + "’": 1473, + "“": 1474, + "”": 1475, + "zi": 1476, + "gli": 1477, + "tto": 1478, + "ono": 1479, + "nel": 1480, + "tti": 1481, + "della": 1482, + "zione": 1483, + "tta": 1484, + "tà": 1485, + "uo": 1486, + "come": 1487, + "alla": 1488, + "oni": 1489, + "ggi": 1490, + "ssi": 1491, + "più": 1492, + "ini": 1493, + "bb": 1494, + "sto": 1495, + "sono": 1496, + "eri": 1497, + "sse": 1498, + "sc": 1499, + "sul": 1500, + "vano": 1501, + "sti": 1502, + "suo": 1503, + "cchi": 1504, + "zza": 1505, + "anche": 1506, + "tte": 1507, + "sci": 1508, + "col": 1509, + "sso": 1510, + "ssa": 1511, + "dei": 1512, + "aveva": 1513, + "zz": 1514, + "amo": 1515, + "gno": 1516, + "sua": 1517, + "ria": 1518, + "sì": 1519, + "ché": 1520, + "dal": 1521, + "ona": 1522, + "spe": 1523, + "gni": 1524, + "tt": 1525, + "delle": 1526, + "questo": 1527, + "nella": 1528, + "dere": 1529, + "anno": 1530, + "dell": 1531, + "uni": 1532, + "bbe": 1533, + "anti": 1534, + "ene": 1535, + "gio": 1536, + "uto": 1537, + "qual": 1538, + "glia": 1539, + "quando": 1540, + "tutto": 1541, + "glio": 1542, + "zioni": 1543, + "cam": 1544, + "esso": 1545, + "ss": 1546, + "mol": 1547, + "loro": 1548, + "perché": 1549, + "cosa": 1550, + "due": 1551, + "poi": 1552, + "sco": 1553, + "cco": 1554, + "gna": 1555, + "tem": 1556, + "prima": 1557, + "così": 1558, + "essere": 1559, + "ani": 1560, + "bra": 1561, + "rio": 1562, + "anco": 1563, + "cui": 1564, + "spi": 1565, + "via": 1566, + "gior": 1567, + "bile": 1568, + "ggio": 1569, + "mai": 1570, + "tare": 1571, + "indi": 1572, + "rebbe": 1573, + "senza": 1574, + "zio": 1575, + "tutti": 1576, + "stato": 1577, + "zia": 1578, + "dalla": 1579, + "mia": 1580, + "vita": 1581, + "quella": 1582, + "qua": 1583, + "dove": 1584, + "allo": 1585, + "sempre": 1586, + "zzo": 1587, + "sia": 1588, + "dopo": 1589, + "porta": 1590, + "ccia": 1591, + "erano": 1592, + "anni": 1593, + "chia": 1594, + "enza": 1595, + "propri": 1596, + "anda": 1597, + "cca": 1598, + "occhi": 1599, + "questa": 1600, + "ffi": 1601, + "ron": 1602, + "mio": 1603, + "ris": 1604, + "ogni": 1605, + "rin": 1606, + "far": 1607, + "menti": 1608, + "ancora": 1609, + "fatto": 1610, + "mani": 1611, + "senti": 1612, + "pra": 1613, + "tempo": 1614, + "essi": 1615, + "bbi": 1616, + "lare": 1617, + "pers": 1618, + "sor": 1619, + "anza": 1620, + "pie": 1621, + "verso": 1622, + "altro": 1623, + "tato": 1624, + "cato": 1625, + "ato": 1626, + "volta": 1627, + "cc": 1628, + "fare": 1629, + "ciò": 1630, + "bili": 1631, + "nuo": 1632, + "quello": 1633, + "colo": 1634, + "ppo": 1635, + "trova": 1636, + "ore": 1637, + "rono": 1638, + "molto": 1639, + "almente": 1640, + "sca": 1641, + "vole": 1642, + "tali": 1643, + "sulla": 1644, + "sce": 1645, + "meno": 1646, + "anto": 1647, + "pun": 1648, + "stu": 1649, + "capi": 1650, + "giu": 1651, + "mini": 1652, + "pia": 1653, + "lavo": 1654, + "vero": 1655, + "rsi": 1656, + "altri": 1657, + "scia": 1658, + "suoi": 1659, + "glie": 1660, + "sotto": 1661, + "bene": 1662, + "scri": 1663, + "tale": 1664, + "degli": 1665, + "alc": 1666, + "uomo": 1667, + "pel": 1668, + "pote": 1669, + "essa": 1670, + "scu": 1671, + "signo": 1672, + "stro": 1673, + "uti": 1674, + "sione": 1675, + "gre": 1676, + "fini": 1677, + "lun": 1678, + "esi": 1679, + "passa": 1680, + "rà": 1681, + "mentre": 1682, + "hanno": 1683, + "usci": 1684, + "gia": 1685, + "già": 1686, + "mina": 1687, + "tica": 1688, + "giorno": 1689, + "esse": 1690, + "modo": 1691, + "spa": 1692, + "proprio": 1693, + "ori": 1694, + "contro": 1695, + "stru": 1696, + "diven": 1697, + "disse": 1698, + "rato": 1699, + "noi": 1700, + "vere": 1701, + "può": 1702, + "dice": 1703, + "cci": 1704, + "secon": 1705, + "ccio": 1706, + "qualche": 1707, + "tutta": 1708, + "gg": 1709, + "mondo": 1710, + "forma": 1711, + "mma": 1712, + "pensa": 1713, + "deva": 1714, + "fosse": 1715, + "sopra": 1716, + "tamente": 1717, + "ness": 1718, + "quanto": 1719, + "raga": 1720, + "unque": 1721, + "care": 1722, + "stre": 1723, + "grande": 1724, + "picco": 1725, + "guarda": 1726, + "nell": 1727, + "possi": 1728, + "presen": 1729, + "rò": 1730, + "paro": 1731, + "tua": 1732, + "vin": 1733, + "ane": 1734, + "stesso": 1735, + "dav": 1736, + "nei": 1737, + "nelle": 1738, + "ghi": 1739, + "pio": 1740, + "lato": 1741, + "sid": 1742, + "fine": 1743, + "fuo": 1744, + "quasi": 1745, + "ulti": 1746, + "ito": 1747, + "sue": 1748, + "fil": 1749, + "allora": 1750, + "veni": 1751, + "tano": 1752, + "ello": 1753, + "ão": 1754, + "não": 1755, + "uma": 1756, + "ela": 1757, + "lh": 1758, + "ção": 1759, + "cê": 1760, + "inha": 1761, + "você": 1762, + "ec": 1763, + "dade": 1764, + "ao": 1765, + "ram": 1766, + "vel": 1767, + "ém": 1768, + "pode": 1769, + "estava": 1770, + "isso": 1771, + "mui": 1772, + "faz": 1773, + "ões": 1774, + "pes": 1775, + "ix": 1776, + "sim": 1777, + "olh": 1778, + "isa": 1779, + "ên": 1780, + "tinha": 1781, + "meu": 1782, + "são": 1783, + "minha": 1784, + "muito": 1785, + "foi": 1786, + "bem": 1787, + "diz": 1788, + "parec": 1789, + "ço": 1790, + "pesso": 1791, + "pois": 1792, + "mesmo": 1793, + "ções": 1794, + "seus": 1795, + "até": 1796, + "ência": 1797, + "lhe": 1798, + "tiv": 1799, + "mã": 1800, + "só": 1801, + "tão": 1802, + "tudo": 1803, + "então": 1804, + "inda": 1805, + "bal": 1806, + "indo": 1807, + "ndo": 1808, + "já": 1809, + "vam": 1810, + "eito": 1811, + "depois": 1812, + "mel": 1813, + "lha": 1814, + "ainda": 1815, + "fazer": 1816, + "pou": 1817, + "pergun": 1818, + "deix": 1819, + "tamb": 1820, + "ala": 1821, + "pelo": 1822, + "também": 1823, + "fica": 1824, + "prec": 1825, + "eles": 1826, + "havia": 1827, + "lá": 1828, + "nas": 1829, + "gem": 1830, + "mem": 1831, + "ós": 1832, + "deu": 1833, + "eiro": 1834, + "..": 1835, + "assim": 1836, + "ior": 1837, + "har": 1838, + "aqui": 1839, + "cul": 1840, + "sar": 1841, + "outra": 1842, + "olhos": 1843, + "ima": 1844, + "mim": 1845, + "ago": 1846, + "pessoas": 1847, + "eram": 1848, + "eira": 1849, + "pela": 1850, + "coisa": 1851, + "mão": 1852, + "conh": 1853, + "agora": 1854, + "iam": 1855, + "há": 1856, + "suas": 1857, + "guém": 1858, + "cabe": 1859, + "nem": 1860, + "ível": 1861, + "consegu": 1862, + "trabal": 1863, + "lev": 1864, + "lem": 1865, + "vai": 1866, + "tei": 1867, + "pró": 1868, + "quem": 1869, + "onde": 1870, + "cabeça": 1871, + "nunca": 1872, + "mentos": 1873, + "hum": 1874, + "dele": 1875, + "verdade": 1876, + "tá": 1877, + "hos": 1878, + "algum": 1879, + "dizer": 1880, + "penas": 1881, + "nós": 1882, + "enquanto": 1883, + "outro": 1884, + "lho": 1885, + "melhor": 1886, + "primei": 1887, + "iu": 1888, + "apenas": 1889, + "estou": 1890, + "conte": 1891, + "homem": 1892, + "dois": 1893, + "ças": 1894, + "pouco": 1895, + "senhor": 1896, + "tando": 1897, + "espera": 1898, + "pai": 1899, + "rios": 1900, + "baix": 1901, + "ase": 1902, + "isas": 1903, + "hora": 1904, + "ficar": 1905, + "seja": 1906, + "ân": 1907, + "clar": 1908, + "inc": 1909, + "fos": 1910, + "ouvi": 1911, + "vem": 1912, + "tava": 1913, + "ário": 1914, + "sos": 1915, + "inho": 1916, + "rando": 1917, + "ês": 1918, + "coisas": 1919, + "aconte": 1920, + "lher": 1921, + "anos": 1922, + "talvez": 1923, + "estão": 1924, + "liv": 1925, + "outros": 1926, + "qualquer": 1927, + "gou": 1928, + "lí": 1929, + "tivesse": 1930, + "rado": 1931, + "precisa": 1932, + "mãe": 1933, + "dela": 1934, + "entra": 1935, + "maior": 1936, + "noite": 1937, + "tiva": 1938, + "pala": 1939, + "ração": 1940, + "deus": 1941, + "sas": 1942, + "inte": 1943, + "fei": 1944, + "palav": 1945, + "trás": 1946, + "cidade": 1947, + "lugar": 1948, + "vezes": 1949, + "encontra": 1950, + "tru": 1951, + "eci": 1952, + "ın": 1953, + "bir": 1954, + "yor": 1955, + "ek": 1956, + "dı": 1957, + "ey": 1958, + "tı": 1959, + "mı": 1960, + "iz": 1961, + "ır": 1962, + "gö": 1963, + "sı": 1964, + "bil": 1965, + "lı": 1966, + "üz": 1967, + "iç": 1968, + "iy": 1969, + "ım": 1970, + "uz": 1971, + "cak": 1972, + "iş": 1973, + "ını": 1974, + "iyor": 1975, + "baş": 1976, + "dü": 1977, + "değ": 1978, + "kar": 1979, + "ev": 1980, + "öy": 1981, + "bun": 1982, + "yap": 1983, + "sun": 1984, + "gör": 1985, + "yı": 1986, + "ki": 1987, + "ara": 1988, + "alı": 1989, + "onu": 1990, + "çı": 1991, + "şey": 1992, + "sın": 1993, + "kı": 1994, + "kad": 1995, + "ağ": 1996, + "değil": 1997, + "ük": 1998, + "çok": 1999, + "şı": 2000, + "ül": 2001, + "için": 2002, + "eye": 2003, + "oldu": 2004, + "mış": 2005, + "kal": 2006, + "mek": 2007, + "öyle": 2008, + "yordu": 2009, + "yüz": 2010, + "miş": 2011, + "mak": 2012, + "ola": 2013, + "yan": 2014, + "cek": 2015, + "yorum": 2016, + "bak": 2017, + "üm": 2018, + "ları": 2019, + "oğ": 2020, + "kadar": 2021, + "arı": 2022, + "ında": 2023, + "gün": 2024, + "yok": 2025, + "yer": 2026, + "dım": 2027, + "daha": 2028, + "ına": 2029, + "dim": 2030, + "bilir": 2031, + "iki": 2032, + "siz": 2033, + "diğ": 2034, + "bü": 2035, + "düş": 2036, + "üç": 2037, + "unu": 2038, + "aman": 2039, + "fak": 2040, + "ede": 2041, + "sonra": 2042, + "hiç": 2043, + "aki": 2044, + "ğı": 2045, + "bul": 2046, + "maz": 2047, + "anla": 2048, + "bura": 2049, + "geç": 2050, + "maya": 2051, + "konu": 2052, + "din": 2053, + "tek": 2054, + "zaman": 2055, + "eler": 2056, + "öz": 2057, + "dır": 2058, + "gibi": 2059, + "şa": 2060, + "leri": 2061, + "kim": 2062, + "ku": 2063, + "fakat": 2064, + "yar": 2065, + "göz": 2066, + "cı": 2067, + "yorsun": 2068, + "bek": 2069, + "inde": 2070, + "pek": 2071, + "bunu": 2072, + "lik": 2073, + "iler": 2074, + "edi": 2075, + "öl": 2076, + "sür": 2077, + "sır": 2078, + "çık": 2079, + "sıl": 2080, + "alar": 2081, + "kes": 2082, + "yak": 2083, + "çek": 2084, + "yıl": 2085, + "ecek": 2086, + "ız": 2087, + "git": 2088, + "kap": 2089, + "ama": 2090, + "ıl": 2091, + "ların": 2092, + "biz": 2093, + "tır": 2094, + "oy": 2095, + "ancak": 2096, + "doğ": 2097, + "bana": 2098, + "şim": 2099, + "başla": 2100, + "lü": 2101, + "madı": 2102, + "beni": 2103, + "yük": 2104, + "lık": 2105, + "beş": 2106, + "nasıl": 2107, + "tık": 2108, + "tür": 2109, + "daki": 2110, + "ceğ": 2111, + "zı": 2112, + "iyi": 2113, + "dok": 2114, + "benim": 2115, + "cağ": 2116, + "yen": 2117, + "şu": 2118, + "mez": 2119, + "düşün": 2120, + "kendi": 2121, + "şimdi": 2122, + "yol": 2123, + "yu": 2124, + "iste": 2125, + "sek": 2126, + "mam": 2127, + "söyle": 2128, + "dik": 2129, + "kur": 2130, + "olduğ": 2131, + "sını": 2132, + "biliyor": 2133, + "kan": 2134, + "yal": 2135, + "meye": 2136, + "muş": 2137, + "kaç": 2138, + "iye": 2139, + "tü": 2140, + "ef": 2141, + "tım": 2142, + "evet": 2143, + "yet": 2144, + "burada": 2145, + "tim": 2146, + "biraz": 2147, + "kor": 2148, + "doğru": 2149, + "inin": 2150, + "kız": 2151, + "diye": 2152, + "dör": 2153, + "etti": 2154, + "onun": 2155, + "isti": 2156, + "ği": 2157, + "sana": 2158, + "üş": 2159, + "arka": 2160, + "hayır": 2161, + "karşı": 2162, + "ile": 2163, + "hak": 2164, + "ıyor": 2165, + "neden": 2166, + "sev": 2167, + "sız": 2168, + "çocu": 2169, + "çalı": 2170, + "olur": 2171, + "bır": 2172, + "gir": 2173, + "ise": 2174, + "ih": 2175, + "kır": 2176, + "dön": 2177, + "böyle": 2178, + "seni": 2179, + "!\"": 2180, + "dört": 2181, + "söy": 2182, + "oş": 2183, + "musun": 2184, + "laş": 2185, + "ip": 2186, + "kay": 2187, + "hem": 2188, + "büyük": 2189, + "aç": 2190, + "bırak": 2191, + "misin": 2192, + "söz": 2193, + "değiş": 2194, + "ünü": 2195, + "gül": 2196, + "kö": 2197, + "karı": 2198, + "tamam": 2199, + "olu": 2200, + "yeni": 2201, + "lam": 2202, + "mıştı": 2203, + "yaş": 2204, + "iniz": 2205, + "kadın": 2206, + "bunun": 2207, + "mey": 2208, + "altı": 2209, + "yi": 2210, + "inden": 2211, + "senin": 2212, + "yat": 2213, + "top": 2214, + "isi": 2215, + "dün": 2216, + "hiçbir": 2217, + "yon": 2218, + "dın": 2219, + "tün": 2220, + "başka": 2221, + "hep": 2222, + "irmi": 2223, + "devam": 2224, + "olacak": 2225, + "artık": 2226, + "durum": 2227, + "imiz": 2228, + "üzel": 2229, + "lerini": 2230, + "sağ": 2231, + "gerek": 2232, + "yirmi": 2233, + "şek": 2234, + "bağ": 2235, + "lara": 2236, + "yür": 2237, + "ması": 2238, + "katı": 2239, + "dedi": 2240, + "gü": 2241, + "sorun": 2242, + "üne": 2243, + "mız": 2244, + "yapı": 2245, + "mil": 2246, + "ğını": 2247, + "tara": 2248, + "vardı": 2249, + "konuş": 2250, + "arak": 2251, + "larak": 2252, + "çocuk": 2253, + "bütün": 2254, + "ley": 2255, + "dür": 2256, + "güzel": 2257, + "ayı": 2258, + "yapa": 2259, + "nı": 2260, + "ayr": 2261, + "öne": 2262, + "yordum": 2263, + "ban": 2264, + "i̇ş": 2265, + "dum": 2266, + "yorlar": 2267, + "larını": 2268, + "çıkar": 2269, + "zan": 2270, + "seç": 2271, + "liyor": 2272, + "tak": 2273, + "şık": 2274, + "tekrar": 2275, + "aş": 2276, + "eş": 2277, + "mişti": 2278, + "kin": 2279, + "imi": 2280, + "eğ": 2281, + "gidi": 2282, + "leş": 2283, + "başladı": 2284, + "gide": 2285, + "otur": 2286, + "dde": 2287, + "ından": 2288, + "üzer": 2289, + "ının": 2290, + "nız": 2291, + "uy": 2292, + "yedi": 2293, + "kat": 2294, + "olarak": 2295, + "ladı": 2296, + "yalnız": 2297, + "bah": 2298, + "iyet": 2299, + "sak": 2300, + "açık": 2301, + "sında": 2302, + "...": 2303, + "insan": 2304, + "aynı": 2305, + "eder": 2306, + "istan": 2307, + "uzun": 2308, + "geri": 2309, + "erek": 2310, + "olan": 2311, + "gerçek": 2312, + "alan": 2313, + "dış": 2314, + "alık": 2315, + "fark": 2316, + "üst": 2317, + "sade": 2318, + "kiş": 2319, + "ldı": 2320, + "zor": 2321, + "etir": 2322, + "herkes": 2323, + "ömer": 2324, + "unda": 2325, + "haf": 2326, + "buna": 2327, + "ydı": 2328, + "peki": 2329, + "adam": 2330, + "haz": 2331, + "sına": 2332, + "kapı": 2333, + "görüş": 2334, + "sadece": 2335, + "aldı": 2336, + "geldi": 2337, + "rz": 2338, + "sz": 2339, + "cz": 2340, + "ię": 2341, + "dz": 2342, + "ał": 2343, + "się": 2344, + "rze": 2345, + "że": 2346, + "wy": 2347, + "rzy": 2348, + "ła": 2349, + "ło": 2350, + "ny": 2351, + "dzie": 2352, + "dzi": 2353, + "czy": 2354, + "cie": 2355, + "prze": 2356, + "dy": 2357, + "kie": 2358, + "ry": 2359, + "ją": 2360, + "ów": 2361, + "przy": 2362, + "mie": 2363, + "szy": 2364, + "cze": 2365, + "bie": 2366, + "cy": 2367, + "nia": 2368, + "ści": 2369, + "sze": 2370, + "jest": 2371, + "ży": 2372, + "ną": 2373, + "któ": 2374, + "ała": 2375, + "mnie": 2376, + "ły": 2377, + "cza": 2378, + "jak": 2379, + "roz": 2380, + "ró": 2381, + "zna": 2382, + "łu": 2383, + "ść": 2384, + "wia": 2385, + "wszy": 2386, + "spo": 2387, + "gdy": 2388, + "wał": 2389, + "wię": 2390, + "łem": 2391, + "ję": 2392, + "sk": 2393, + "rę": 2394, + "dob": 2395, + "już": 2396, + "bę": 2397, + "ałem": 2398, + "sza": 2399, + "pod": 2400, + "dla": 2401, + "pan": 2402, + "nę": 2403, + "może": 2404, + "śli": 2405, + "ało": 2406, + "lko": 2407, + "nych": 2408, + "powie": 2409, + "cię": 2410, + "tylko": 2411, + "naj": 2412, + "tego": 2413, + "ski": 2414, + "nego": 2415, + "wszyst": 2416, + "szcze": 2417, + "jed": 2418, + "jej": 2419, + "two": 2420, + "ąd": 2421, + "śmy": 2422, + "czę": 2423, + "wać": 2424, + "jego": 2425, + "ża": 2426, + "sy": 2427, + "praw": 2428, + "tym": 2429, + "który": 2430, + "ały": 2431, + "trze": 2432, + "niej": 2433, + "nym": 2434, + "gło": 2435, + "jąc": 2436, + "mówi": 2437, + "ska": 2438, + "nej": 2439, + "słu": 2440, + "wła": 2441, + "będzie": 2442, + "dę": 2443, + "pó": 2444, + "bez": 2445, + "nic": 2446, + "pła": 2447, + "ście": 2448, + "są": 2449, + "trzy": 2450, + "kiem": 2451, + "był": 2452, + "mog": 2453, + "robi": 2454, + "tam": 2455, + "mię": 2456, + "zy": 2457, + "pew": 2458, + "myś": 2459, + "przed": 2460, + "sko": 2461, + "które": 2462, + "lę": 2463, + "wsze": 2464, + "ąc": 2465, + "było": 2466, + "sobie": 2467, + "py": 2468, + "cią": 2469, + "jeszcze": 2470, + "tę": 2471, + "czas": 2472, + "szę": 2473, + "gł": 2474, + "kę": 2475, + "czu": 2476, + "przez": 2477, + "sło": 2478, + "wz": 2479, + "kto": 2480, + "ków": 2481, + "czo": 2482, + "liśmy": 2483, + "więc": 2484, + "rą": 2485, + "wó": 2486, + "rza": 2487, + "ności": 2488, + "wet": 2489, + "nął": 2490, + "śmie": 2491, + "nawet": 2492, + "musi": 2493, + "swo": 2494, + "tej": 2495, + "wą": 2496, + "wu": 2497, + "wią": 2498, + "niu": 2499, + "czą": 2500, + "dzo": 2501, + "skie": 2502, + "jeśli": 2503, + "czego": 2504, + "chy": 2505, + "dł": 2506, + "tych": 2507, + "bym": 2508, + "żo": 2509, + "eś": 2510, + "sią": 2511, + "kiedy": 2512, + "wró": 2513, + "dze": 2514, + "dro": 2515, + "rów": 2516, + "pani": 2517, + "kul": 2518, + "nad": 2519, + "chwi": 2520, + "nim": 2521, + "być": 2522, + "chodzi": 2523, + "nio": 2524, + "dobrze": 2525, + "teraz": 2526, + "wokul": 2527, + "coś": 2528, + "kł": 2529, + "pier": 2530, + "gdzie": 2531, + "dzy": 2532, + "pię": 2533, + "dź": 2534, + "ką": 2535, + "gó": 2536, + "zda": 2537, + "chce": 2538, + "stę": 2539, + "świa": 2540, + "wszystko": 2541, + "peł": 2542, + "wiem": 2543, + "wiel": 2544, + "każ": 2545, + "rzu": 2546, + "sły": 2547, + "jedna": 2548, + "myśl": 2549, + "mój": 2550, + "jestem": 2551, + "óż": 2552, + "miej": 2553, + "moż": 2554, + "kła": 2555, + "resz": 2556, + "dłu": 2557, + "stwo": 2558, + "nię": 2559, + "masz": 2560, + "żeby": 2561, + "niem": 2562, + "jakie": 2563, + "sty": 2564, + "nią": 2565, + "wej": 2566, + "oj": 2567, + "sła": 2568, + "ność": 2569, + "zło": 2570, + "szczę": 2571, + "lej": 2572, + "wego": 2573, + "cał": 2574, + "dział": 2575, + "kich": 2576, + "dza": 2577, + "dzię": 2578, + "oczy": 2579, + "zosta": 2580, + "czło": 2581, + "nam": 2582, + "kil": 2583, + "szu": 2584, + "wę": 2585, + "miał": 2586, + "strze": 2587, + "cej": 2588, + "ej": 2589, + "znaj": 2590, + "dać": 2591, + "miejs": 2592, + "kró": 2593, + "kry": 2594, + "bardzo": 2595, + "śnie": 2596, + "lą": 2597, + "gie": 2598, + "ciebie": 2599, + "dni": 2600, + "potrze": 2601, + "wokulski": 2602, + "uwa": 2603, + "umie": 2604, + "jednak": 2605, + "kra": 2606, + "wróci": 2607, + "człowie": 2608, + "czyć": 2609, + "była": 2610, + "żeli": 2611, + "mę": 2612, + "cę": 2613, + "zrobi": 2614, + "mogę": 2615, + "prowa": 2616, + "rem": 2617, + "niech": 2618, + "cznie": 2619, + "kro": 2620, + "tą": 2621, + "chci": 2622, + "bro": 2623, + "dzieć": 2624, + "szą": 2625, + "pad": 2626, + "trz": 2627, + "jem": 2628, + "tów": 2629, + "dru": 2630, + "taj": 2631, + "rzekł": 2632, + "niego": 2633, + "takie": 2634, + "wała": 2635, + "towa": 2636, + "kapła": 2637, + "widzi": 2638, + "podob": 2639, + "dzę": 2640, + "tał": 2641, + "stęp": 2642, + "bą": 2643, + "poko": 2644, + "wem": 2645, + "gę": 2646, + "aby": 2647, + "albo": 2648, + "spra": 2649, + "zno": 2650, + "smo": 2651, + "jesz": 2652, + "księ": 2653, + "jesteś": 2654, + "poz": 2655, + "nigdy": 2656, + "ksią": 2657, + "cóż": 2658, + "ws": 2659, + "pow": 2660, + "tka": 2661, + "świe": 2662, + "szka": 2663, + "samo": 2664, + "sł": 2665, + "rzę": 2666, + "nale": 2667, + "chcesz": 2668, + "nik": 2669, + "pę": 2670, + "chyba": 2671, + "ciąg": 2672, + "jący": 2673, + "woj": 2674, + "nasze": 2675, + "mniej": 2676, + "więcej": 2677, + "zwy": 2678, + "osta": 2679, + "waż": 2680, + "śmier": 2681, + "wier": 2682, + "dzą": 2683, + "zaś": 2684, + "gdyby": 2685, + "jaki": 2686, + "wol": 2687, + "win": 2688, + "dą": 2689, + "ścia": 2690, + "rozma": 2691, + "wal": 2692, + "panie": 2693, + "star": 2694, + "kaz": 2695, + "jeżeli": 2696, + "wra": 2697, + "koń": 2698, + "siebie": 2699, + "znowu": 2700, + "czem": 2701, + "stwa": 2702, + "isto": 2703, + "pół": 2704, + "dał": 2705, + "kobie": 2706, + "ałam": 2707, + "wych": 2708, + "cesa": 2709, + "nich": 2710, + "zawsze": 2711, + "dzić": 2712, + "też": 2713, + "lepie": 2714, + "proszę": 2715, + "kre": 2716, + "twa": 2717, + "łą": 2718, + "chu": 2719, + "cą": 2720, + "prz": 2721, + "łe": 2722, + "szedł": 2723, + "odpowie": 2724, + "myśli": 2725, + "świą": 2726, + "ź": 2727, + "ł": 2728, + "&": 2729, + "=": 2730, + "ă": 2731, + "đ": 2732, + "ţ": 2733, + "–": 2734, + "‘": 2735, + "ij": 2736, + "aa": 2737, + "een": 2738, + "het": 2739, + "aar": 2740, + "oor": 2741, + "ijn": 2742, + "dat": 2743, + "oe": 2744, + "ijk": 2745, + "aan": 2746, + "voor": 2747, + "iet": 2748, + "zijn": 2749, + "niet": 2750, + "oo": 2751, + "moet": 2752, + "heb": 2753, + "uit": 2754, + "wij": 2755, + "aat": 2756, + "lijk": 2757, + "sl": 2758, + "daar": 2759, + "deze": 2760, + "worden": 2761, + "moeten": 2762, + "onder": 2763, + "hebben": 2764, + "ook": 2765, + "ct": 2766, + "nog": 2767, + "aal": 2768, + "eer": 2769, + "bij": 2770, + "mijn": 2771, + "kom": 2772, + "atie": 2773, + "eft": 2774, + "kel": 2775, + "rij": 2776, + "heid": 2777, + "af": 2778, + "stel": 2779, + "maar": 2780, + "wee": 2781, + "heeft": 2782, + "waar": 2783, + "eren": 2784, + "wat": 2785, + "wil": 2786, + "aag": 2787, + "bet": 2788, + "hij": 2789, + "kun": 2790, + "uw": 2791, + "dt": 2792, + "door": 2793, + "tij": 2794, + "ond": 2795, + "geen": 2796, + "gev": 2797, + "veel": 2798, + "naar": 2799, + "aten": 2800, + "kunnen": 2801, + "echt": 2802, + "goe": 2803, + "twee": 2804, + "delijk": 2805, + "uur": 2806, + "toe": 2807, + "meer": 2808, + "onze": 2809, + "tijd": 2810, + "hoe": 2811, + "tot": 2812, + "zou": 2813, + "aak": 2814, + "amen": 2815, + "woor": 2816, + "wordt": 2817, + "gelijk": 2818, + "gaan": 2819, + "ker": 2820, + "eld": 2821, + "hou": 2822, + "zel": 2823, + "tegen": 2824, + "komen": 2825, + "werk": 2826, + "goed": 2827, + "zal": 2828, + "zij": 2829, + "slag": 2830, + "zien": 2831, + "echter": 2832, + "itie": 2833, + "tie": 2834, + "elijk": 2835, + "ische": 2836, + "belan": 2837, + "haar": 2838, + "vr": 2839, + "grijk": 2840, + "doen": 2841, + "land": 2842, + "belangrijk": 2843, + "open": 2844, + "ctie": 2845, + "zelf": 2846, + "mij": 2847, + "iteit": 2848, + "stem": 2849, + "mee": 2850, + "aren": 2851, + "dien": 2852, + "gaat": 2853, + "prob": 2854, + "moe": 2855, + "ullen": 2856, + "zich": 2857, + "daarom": 2858, + "orm": 2859, + "staat": 2860, + "zit": 2861, + "dui": 2862, + "dus": 2863, + "ds": 2864, + "verslag": 2865, + "kelijk": 2866, + "proble": 2867, + "schap": 2868, + "gd": 2869, + "hun": 2870, + "erd": 2871, + "zet": 2872, + "staan": 2873, + "maal": 2874, + "inder": 2875, + "eid": 2876, + "kken": 2877, + "ged": 2878, + "zullen": 2879, + "mensen": 2880, + "jaar": 2881, + "regel": 2882, + "ieder": 2883, + "volgen": 2884, + "geven": 2885, + "even": 2886, + "blij": 2887, + "ië": 2888, + "uwe": 2889, + "maken": 2890, + "oek": 2891, + "nieuwe": 2892, + "baar": 2893, + "andere": 2894, + "ruik": 2895, + "agen": 2896, + "ouw": 2897, + "willen": 2898, + "aakt": 2899, + "hoo": 2900, + "anden": 2901, + "lig": 2902, + "samen": 2903, + "zeer": 2904, + "duidelijk": 2905, + "antwoor": 2906, + "heel": 2907, + "punt": 2908, + "houden": 2909, + "vraag": 2910, + "gele": 2911, + "eens": 2912, + "besch": 2913, + "omen": 2914, + "erg": 2915, + "doel": 2916, + "dag": 2917, + "uren": 2918, + "ings": 2919, + "oren": 2920, + "delen": 2921, + "steun": 2922, + "innen": 2923, + "pol": 2924, + "oon": 2925, + "sn": 2926, + "zonder": 2927, + "nodig": 2928, + "alleen": 2929, + "mid": 2930, + "ragen": 2931, + "iets": 2932, + "versch": 2933, + "gebruik": 2934, + "rouw": 2935, + "stellen": 2936, + "menten": 2937, + "eerste": 2938, + "laat": 2939, + "groot": 2940, + "ood": 2941, + "toch": 2942, + "laten": 2943, + "aard": 2944, + "sle": 2945, + "deel": 2946, + "plaat": 2947, + "ree": 2948, + "betre": 2949, + "lid": 2950, + "uiten": 2951, + "racht": 2952, + "beleid": 2953, + "stie": 2954, + "staten": 2955, + "ggen": 2956, + "reken": 2957, + "alen": 2958, + "ming": 2959, + "mogelijk": 2960, + "grote": 2961, + "altijd": 2962, + "enkel": 2963, + "wik": 2964, + "politie": 2965, + "elk": 2966, + "handel": 2967, + "kwe": 2968, + "maat": 2969, + "elen": 2970, + "vrij": 2971, + "jes": 2972, + "aam": 2973, + "huis": 2974, + "weer": 2975, + "lidstaten": 2976, + "king": 2977, + "kle": 2978, + "bed": 2979, + "geval": 2980, + "wikkel": 2981, + "kwestie": 2982, + "stee": 2983, + "hel": 2984, + "komst": 2985, + "iden": 2986, + "eerd": 2987, + "tweede": 2988, + "probleem": 2989, + "ussen": 2990, + "snel": 2991, + "tig": 2992, + "ult": 2993, + "nemen": 2994, + "commis": 2995, + "verschil": 2996, + "zoek": 2997, + "krij": 2998, + "graag": 2999, + "denk": 3000, + "landen": 3001, + "reden": 3002, + "besl": 3003, + "oeg": 3004, + "beter": 3005, + "heden": 3006, + "mag": 3007, + "boven": 3008, + "cont": 3009, + "fd": 3010, + "hele": 3011, + "vier": 3012, + "gez": 3013, + "kw": 3014, + "aas": 3015, + "ontwikkel": 3016, + "drie": 3017, + "vaak": 3018, + "plaats": 3019, + "gang": 3020, + "ijf": 3021, + "natuur": 3022, + "tussen": 3023, + "bat": 3024, + "komt": 3025, + "wacht": 3026, + "aad": 3027, + "achter": 3028, + "gebie": 3029, + "verk": 3030, + "ligt": 3031, + "nieuw": 3032, + "vand": 3033, + "ý": 3034, + "ď": 3035, + "ě": 3036, + "ř": 3037, + "ť": 3038, + "ů": 3039, + "„": 3040, + "ní": 3041, + "ně": 3042, + "ře": 3043, + "ná": 3044, + "vě": 3045, + "vá": 3046, + "rá": 3047, + "vy": 3048, + "mě": 3049, + "ři": 3050, + "ří": 3051, + "že": 3052, + "jí": 3053, + "vý": 3054, + "ji": 3055, + "dě": 3056, + "če": 3057, + "tě": 3058, + "ky": 3059, + "še": 3060, + "ké": 3061, + "ší": 3062, + "pře": 3063, + "ví": 3064, + "ný": 3065, + "ži": 3066, + "má": 3067, + "cí": 3068, + "zá": 3069, + "ské": 3070, + "dá": 3071, + "byl": 3072, + "tí": 3073, + "pří": 3074, + "při": 3075, + "či": 3076, + "vní": 3077, + "ča": 3078, + "dí": 3079, + "dní": 3080, + "ká": 3081, + "nou": 3082, + "vět": 3083, + "pě": 3084, + "kou": 3085, + "ých": 3086, + "bě": 3087, + "prá": 3088, + "jako": 3089, + "ží": 3090, + "zí": 3091, + "jsou": 3092, + "jsem": 3093, + "lní": 3094, + "cké": 3095, + "vat": 3096, + "před": 3097, + "hla": 3098, + "stá": 3099, + "čí": 3100, + "ši": 3101, + "kla": 3102, + "ště": 3103, + "lou": 3104, + "mů": 3105, + "chá": 3106, + "pů": 3107, + "také": 3108, + "dů": 3109, + "nost": 3110, + "tře": 3111, + "sku": 3112, + "vše": 3113, + "tní": 3114, + "byla": 3115, + "ční": 3116, + "jeho": 3117, + "bý": 3118, + "vání": 3119, + "ných": 3120, + "tři": 3121, + "vz": 3122, + "stře": 3123, + "dva": 3124, + "hle": 3125, + "čá": 3126, + "nosti": 3127, + "vš": 3128, + "hra": 3129, + "jen": 3130, + "slo": 3131, + "však": 3132, + "kdy": 3133, + "bylo": 3134, + "bude": 3135, + "jší": 3136, + "vých": 3137, + "ním": 3138, + "sm": 3139, + "koli": 3140, + "rů": 3141, + "může": 3142, + "není": 3143, + "hod": 3144, + "bí": 3145, + "tý": 3146, + "stě": 3147, + "uje": 3148, + "sá": 3149, + "pět": 3150, + "krá": 3151, + "tom": 3152, + "ství": 3153, + "vně": 3154, + "sed": 3155, + "své": 3156, + "pí": 3157, + "musí": 3158, + "už": 3159, + "tím": 3160, + "jící": 3161, + "jedno": 3162, + "čas": 3163, + "čty": 3164, + "ský": 3165, + "evro": 3166, + "toho": 3167, + "hy": 3168, + "kter": 3169, + "rní": 3170, + "stí": 3171, + "svě": 3172, + "pak": 3173, + "všech": 3174, + "ků": 3175, + "ng": 3176, + "ád": 3177, + "chází": 3178, + "být": 3179, + "první": 3180, + "mno": 3181, + "ského": 3182, + "pá": 3183, + "nebo": 3184, + "kem": 3185, + "sla": 3186, + "ného": 3187, + "zde": 3188, + "další": 3189, + "řa": 3190, + "čtyři": 3191, + "hrá": 3192, + "druh": 3193, + "lně": 3194, + "vla": 3195, + "ských": 3196, + "ško": 3197, + "půso": 3198, + "proto": 3199, + "vů": 3200, + "ská": 3201, + "šest": 3202, + "dně": 3203, + "ještě": 3204, + "mezi": 3205, + "několi": 3206, + "již": 3207, + "čně": 3208, + "slu": 3209, + "zná": 3210, + "sedm": 3211, + "vlá": 3212, + "osm": 3213, + "byly": 3214, + "vám": 3215, + "cký": 3216, + "tech": 3217, + "ději": 3218, + "velmi": 3219, + "leži": 3220, + "vala": 3221, + "lý": 3222, + "tvo": 3223, + "spole": 3224, + "stup": 3225, + "mož": 3226, + "evrop": 3227, + "stal": 3228, + "jde": 3229, + "rodi": 3230, + "její": 3231, + "poli": 3232, + "devět": 3233, + "sme": 3234, + "až": 3235, + "této": 3236, + "tento": 3237, + "kaž": 3238, + "nula": 3239, + "bych": 3240, + "moc": 3241, + "stou": 3242, + "kdo": 3243, + "zd": 3244, + "praco": 3245, + "tomu": 3246, + "ným": 3247, + "živo": 3248, + "zem": 3249, + "násle": 3250, + "sky": 3251, + "jich": 3252, + "měl": 3253, + "děla": 3254, + "jsme": 3255, + "nice": 3256, + "stej": 3257, + "stní": 3258, + "náro": 3259, + "nit": 3260, + "později": 3261, + "tako": 3262, + "nce": 3263, + "čer": 3264, + "ším": 3265, + "něco": 3266, + "vál": 3267, + "řej": 3268, + "krát": 3269, + "ální": 3270, + "asi": 3271, + "které": 3272, + "stav": 3273, + "mají": 3274, + "mys": 3275, + "době": 3276, + "sně": 3277, + "zku": 3278, + "tů": 3279, + "chod": 3280, + "spě": 3281, + "jejich": 3282, + "součas": 3283, + "vali": 3284, + "kte": 3285, + "prů": 3286, + "zení": 3287, + "pat": 3288, + "potře": 3289, + "dnes": 3290, + "zemí": 3291, + "znam": 3292, + "mám": 3293, + "tedy": 3294, + "hlavní": 3295, + "použí": 3296, + "bní": 3297, + "vede": 3298, + "lep": 3299, + "jek": 3300, + "prav": 3301, + "politi": 3302, + "dne": 3303, + "čení": 3304, + "než": 3305, + "děl": 3306, + "čo": 3307, + "cích": 3308, + "sté": 3309, + "dlou": 3310, + "několik": 3311, + "vyu": 3312, + "ckých": 3313, + "nové": 3314, + "čin": 3315, + "dělá": 3316, + "ký": 3317, + "obla": 3318, + "podle": 3319, + "důleži": 3320, + "poku": 3321, + "kone": 3322, + "dý": 3323, + "dvě": 3324, + "žád": 3325, + "nout": 3326, + "tku": 3327, + "tvr": 3328, + "ckého": 3329, + "rov": 3330, + "tele": 3331, + "psa": 3332, + "svět": 3333, + "tivní": 3334, + "dosta": 3335, + "šel": 3336, + "druhé": 3337, + "skou": 3338, + "žo": 3339, + "jedná": 3340, + "význam": 3341, + "problé": 3342, + "publi": 3343, + "ván": 3344, + "odpo": 3345, + "podpo": 3346, + "dle": 3347, + "jaké": 3348, + "šení": 3349, + "vím": 3350, + "během": 3351, + "nachází": 3352, + "slou": 3353, + "pouze": 3354, + "otá": 3355, + "plo": 3356, + "tové": 3357, + "větši": 3358, + "komi": 3359, + "vají": 3360, + "tyto": 3361, + "zápa": 3362, + "změ": 3363, + "moh": 3364, + "více": 3365, + "společ": 3366, + "auto": 3367, + "proti": 3368, + "dět": 3369, + "cháze": 3370, + "žel": 3371, + "«": 3372, + "»": 3373, + "а": 3374, + "б": 3375, + "в": 3376, + "г": 3377, + "д": 3378, + "е": 3379, + "ж": 3380, + "з": 3381, + "и": 3382, + "й": 3383, + "к": 3384, + "л": 3385, + "м": 3386, + "н": 3387, + "о": 3388, + "п": 3389, + "р": 3390, + "с": 3391, + "т": 3392, + "у": 3393, + "ф": 3394, + "х": 3395, + "ц": 3396, + "ч": 3397, + "ш": 3398, + "щ": 3399, + "ъ": 3400, + "ы": 3401, + "ь": 3402, + "э": 3403, + "ю": 3404, + "я": 3405, + "ё": 3406, + "‑": 3407, + "−": 3408, + "ст": 3409, + "ен": 3410, + "но": 3411, + "на": 3412, + "пр": 3413, + "то": 3414, + "по": 3415, + "ра": 3416, + "го": 3417, + "ко": 3418, + "не": 3419, + "во": 3420, + "ва": 3421, + "ет": 3422, + "ер": 3423, + "ни": 3424, + "ел": 3425, + "ит": 3426, + "ны": 3427, + "за": 3428, + "ро": 3429, + "ени": 3430, + "ка": 3431, + "ли": 3432, + "ем": 3433, + "да": 3434, + "об": 3435, + "ла": 3436, + "до": 3437, + "ся": 3438, + "ть": 3439, + "от": 3440, + "ло": 3441, + "ль": 3442, + "ед": 3443, + "со": 3444, + "ми": 3445, + "ре": 3446, + "мо": 3447, + "ци": 3448, + "про": 3449, + "та": 3450, + "это": 3451, + "ки": 3452, + "ру": 3453, + "при": 3454, + "ти": 3455, + "се": 3456, + "ста": 3457, + "вы": 3458, + "мы": 3459, + "ви": 3460, + "бы": 3461, + "ма": 3462, + "ес": 3463, + "ля": 3464, + "сти": 3465, + "ле": 3466, + "что": 3467, + "ме": 3468, + "ри": 3469, + "ча": 3470, + "од": 3471, + "ей": 3472, + "ель": 3473, + "ения": 3474, + "га": 3475, + "ну": 3476, + "си": 3477, + "па": 3478, + "раз": 3479, + "бо": 3480, + "сто": 3481, + "су": 3482, + "са": 3483, + "ду": 3484, + "его": 3485, + "ест": 3486, + "ин": 3487, + "ить": 3488, + "из": 3489, + "же": 3490, + "му": 3491, + "пер": 3492, + "под": 3493, + "ение": 3494, + "сь": 3495, + "ку": 3496, + "пред": 3497, + "ного": 3498, + "ных": 3499, + "вер": 3500, + "те": 3501, + "ной": 3502, + "ции": 3503, + "де": 3504, + "ры": 3505, + "дел": 3506, + "лю": 3507, + "ве": 3508, + "он": 3509, + "мен": 3510, + "ги": 3511, + "ня": 3512, + "бу": 3513, + "пра": 3514, + "все": 3515, + "ется": 3516, + "сть": 3517, + "жа": 3518, + "дол": 3519, + "жи": 3520, + "бе": 3521, + "кон": 3522, + "сл": 3523, + "ши": 3524, + "ди": 3525, + "ств": 3526, + "ско": 3527, + "ные": 3528, + "чи": 3529, + "ют": 3530, + "дер": 3531, + "стра": 3532, + "ты": 3533, + "ход": 3534, + "щи": 3535, + "зо": 3536, + "зна": 3537, + "ности": 3538, + "чес": 3539, + "вля": 3540, + "вать": 3541, + "ор": 3542, + "пол": 3543, + "вет": 3544, + "так": 3545, + "ша": 3546, + "ту": 3547, + "сво": 3548, + "пре": 3549, + "она": 3550, + "итель": 3551, + "ный": 3552, + "сло": 3553, + "как": 3554, + "вл": 3555, + "ность": 3556, + "хо": 3557, + "мож": 3558, + "пе": 3559, + "для": 3560, + "ния": 3561, + "ное": 3562, + "рас": 3563, + "долж": 3564, + "дар": 3565, + "тель": 3566, + "ска": 3567, + "пу": 3568, + "ство": 3569, + "кото": 3570, + "раб": 3571, + "ее": 3572, + "род": 3573, + "эти": 3574, + "соб": 3575, + "ору": 3576, + "жен": 3577, + "ным": 3578, + "ити": 3579, + "ние": 3580, + "ком": 3581, + "дет": 3582, + "сту": 3583, + "гу": 3584, + "пи": 3585, + "меж": 3586, + "ению": 3587, + "тер": 3588, + "работ": 3589, + "воз": 3590, + "ция": 3591, + "кой": 3592, + "щест": 3593, + "гра": 3594, + "зи": 3595, + "ря": 3596, + "между": 3597, + "ства": 3598, + "вс": 3599, + "ело": 3600, + "ше": 3601, + "мер": 3602, + "ба": 3603, + "зы": 3604, + "лу": 3605, + "аль": 3606, + "дей": 3607, + "гла": 3608, + "народ": 3609, + "кти": 3610, + "предста": 3611, + "лся": 3612, + "явля": 3613, + "ски": 3614, + "нов": 3615, + "един": 3616, + "ров": 3617, + "ис": 3618, + "нима": 3619, + "рем": 3620, + "ходи": 3621, + "также": 3622, + "дру": 3623, + "ать": 3624, + "след": 3625, + "гово": 3626, + "ная": 3627, + "ющи": 3628, + "ень": 3629, + "которы": 3630, + "хот": 3631, + "ву": 3632, + "их": 3633, + "ему": 3634, + "чит": 3635, + "важ": 3636, + "орга": 3637, + "чески": 3638, + "ще": 3639, + "ке": 3640, + "ха": 3641, + "пос": 3642, + "том": 3643, + "боль": 3644, + "мне": 3645, + "пас": 3646, + "объ": 3647, + "прав": 3648, + "конф": 3649, + "слу": 3650, + "поддер": 3651, + "стви": 3652, + "наш": 3653, + "лько": 3654, + "стоя": 3655, + "ную": 3656, + "лем": 3657, + "енных": 3658, + "кра": 3659, + "ды": 3660, + "международ": 3661, + "гда": 3662, + "необ": 3663, + "госу": 3664, + "ству": 3665, + "ении": 3666, + "государ": 3667, + "кто": 3668, + "им": 3669, + "чест": 3670, + "рет": 3671, + "вопро": 3672, + "лен": 3673, + "ели": 3674, + "рова": 3675, + "ций": 3676, + "нам": 3677, + "этой": 3678, + "жения": 3679, + "необходи": 3680, + "меня": 3681, + "было": 3682, + "сили": 3683, + "фи": 3684, + "вя": 3685, + "шь": 3686, + "этого": 3687, + "они": 3688, + "органи": 3689, + "безо": 3690, + "проб": 3691, + "име": 3692, + "реш": 3693, + "би": 3694, + "безопас": 3695, + "ются": 3696, + "оста": 3697, + "енно": 3698, + "год": 3699, + "ела": 3700, + "представ": 3701, + "ться": 3702, + "слово": 3703, + "организа": 3704, + "должны": 3705, + "этом": 3706, + "бла": 3707, + "че": 3708, + "чу": 3709, + "благо": 3710, + "этому": 3711, + "врем": 3712, + "спе": 3713, + "ном": 3714, + "ений": 3715, + "спо": 3716, + "нас": 3717, + "нет": 3718, + "зу": 3719, + "вед": 3720, + "еще": 3721, + "сказа": 3722, + "сей": 3723, + "ерен": 3724, + "дан": 3725, + "сам": 3726, + "еля": 3727, + "ран": 3728, + "зыва": 3729, + "является": 3730, + "будет": 3731, + "ктив": 3732, + "тре": 3733, + "деле": 3734, + "мот": 3735, + "конферен": 3736, + "лась": 3737, + "час": 3738, + "сторо": 3739, + "кого": 3740, + "ез": 3741, + "ней": 3742, + "ос": 3743, + "лись": 3744, + "разору": 3745, + "пере": 3746, + "сси": 3747, + "ными": 3748, + "проц": 3749, + "голо": 3750, + "чело": 3751, + "боле": 3752, + "челове": 3753, + "сер": 3754, + "пл": 3755, + "чет": 3756, + "стран": 3757, + "пя": 3758, + "был": 3759, + "кла": 3760, + "тов": 3761, + "жд": 3762, + "дела": 3763, + "ера": 3764, + "уже": 3765, + "совет": 3766, + "ген": 3767, + "безопасности": 3768, + "ца": 3769, + "седа": 3770, + "поз": 3771, + "ответ": 3772, + "проблем": 3773, + "нако": 3774, + "тем": 3775, + "доста": 3776, + "пы": 3777, + "ща": 3778, + "вой": 3779, + "сущест": 3780, + "необходимо": 3781, + "быть": 3782, + "может": 3783, + "дем": 3784, + "чтобы": 3785, + "ек": 3786, + "чер": 3787, + "усили": 3788, + "рес": 3789, + "руд": 3790, + "единенных": 3791, + "доб": 3792, + "дости": 3793, + "ствен": 3794, + "ядер": 3795, + "годня": 3796, + "каза": 3797, + "сегодня": 3798, + "сейчас": 3799, + "только": 3800, + "вод": 3801, + "есь": 3802, + "много": 3803, + "буду": 3804, + "ев": 3805, + "есть": 3806, + "три": 3807, + "общест": 3808, + "явл": 3809, + "высту": 3810, + "ред": 3811, + "счит": 3812, + "сит": 3813, + "делега": 3814, + "лож": 3815, + "этот": 3816, + "фор": 3817, + "клю": 3818, + "возмож": 3819, + "вания": 3820, + "бли": 3821, + "или": 3822, + "вз": 3823, + "наций": 3824, + "ского": 3825, + "приня": 3826, + "пла": 3827, + "оч": 3828, + "иться": 3829, + "сте": 3830, + "наши": 3831, + "которые": 3832, + "ар": 3833, + "имеет": 3834, + "сот": 3835, + "знач": 3836, + "перь": 3837, + "следу": 3838, + "ены": 3839, + "таки": 3840, + "объединенных": 3841, + "стро": 3842, + "теперь": 3843, + "бле": 3844, + "благодар": 3845, + "разв": 3846, + "ан": 3847, + "жива": 3848, + "очень": 3849, + "ят": 3850, + "без": 3851, + "обес": 3852, + "гро": 3853, + "лось": 3854, + "сы": 3855, + "организации": 3856, + "член": 3857, + "того": 3858, + "ональ": 3859, + "жда": 3860, + "всех": 3861, + "свя": 3862, + "более": 3863, + "сов": 3864, + "когда": 3865, + "вот": 3866, + "кре": 3867, + "кры": 3868, + "поэтому": 3869, + "воль": 3870, + "ой": 3871, + "генера": 3872, + "чем": 3873, + "лы": 3874, + "полити": 3875, + "вен": 3876, + "конференции": 3877, + "процес": 3878, + "бя": 3879, + "ите": 3880, + "отно": 3881, + "развити": 3882, + "аф": 3883, + "ющ": 3884, + "вно": 3885, + "мир": 3886, + "нии": 3887, + "кая": 3888, + "ас": 3889, + "ительно": 3890, + "вто": 3891, + "ением": 3892, + "генераль": 3893, + "прот": 3894, + "всем": 3895, + "самбле": 3896, + "ассамбле": 3897, + "ом": 3898, + "зд": 3899, + "смот": 3900, + "реги": 3901, + "чего": 3902, + "однако": 3903, + "усилия": 3904, + "действи": 3905, + "чно": 3906, + "уча": 3907, + "образ": 3908, + "вос": 3909, + "эта": 3910, + "перего": 3911, + "говор": 3912, + "вам": 3913, + "моло": 3914, + "время": 3915, + "дь": 3916, + "хотел": 3917, + "гру": 3918, + "заявл": 3919, + "предоста": 3920, + "поль": 3921, + "нее": 3922, + "резо": 3923, + "перегово": 3924, + "резолю": 3925, + "крет": 3926, + "поддерж": 3927, + "обеспе": 3928, + "него": 3929, + "представит": 3930, + "наде": 3931, + "кри": 3932, + "чь": 3933, + "проек": 3934, + "лет": 3935, + "други": 3936, + "_": 3937, + "،": 3938, + "؛": 3939, + "؟": 3940, + "ء": 3941, + "آ": 3942, + "أ": 3943, + "ؤ": 3944, + "إ": 3945, + "ئ": 3946, + "ا": 3947, + "ب": 3948, + "ة": 3949, + "ت": 3950, + "ث": 3951, + "ج": 3952, + "ح": 3953, + "خ": 3954, + "د": 3955, + "ذ": 3956, + "ر": 3957, + "ز": 3958, + "س": 3959, + "ش": 3960, + "ص": 3961, + "ض": 3962, + "ط": 3963, + "ظ": 3964, + "ع": 3965, + "غ": 3966, + "ـ": 3967, + "ف": 3968, + "ق": 3969, + "ك": 3970, + "ل": 3971, + "م": 3972, + "ن": 3973, + "ه": 3974, + "و": 3975, + "ى": 3976, + "ي": 3977, + "ً": 3978, + "ٌ": 3979, + "ٍ": 3980, + "َ": 3981, + "ُ": 3982, + "ِ": 3983, + "ّ": 3984, + "ْ": 3985, + "ٰ": 3986, + "چ": 3987, + "ڨ": 3988, + "ک": 3989, + "ھ": 3990, + "ی": 3991, + "ۖ": 3992, + "ۗ": 3993, + "ۘ": 3994, + "ۚ": 3995, + "ۛ": 3996, + "—": 3997, + "☭": 3998, + "ﺃ": 3999, + "ﻻ": 4000, + "ال": 4001, + "َا": 4002, + "وَ": 4003, + "َّ": 4004, + "ِي": 4005, + "أَ": 4006, + "لَ": 4007, + "نَ": 4008, + "الْ": 4009, + "هُ": 4010, + "ُو": 4011, + "ما": 4012, + "نْ": 4013, + "من": 4014, + "عَ": 4015, + "نا": 4016, + "لا": 4017, + "مَ": 4018, + "تَ": 4019, + "فَ": 4020, + "أن": 4021, + "لي": 4022, + "مِ": 4023, + "ان": 4024, + "في": 4025, + "رَ": 4026, + "يَ": 4027, + "هِ": 4028, + "مْ": 4029, + "قَ": 4030, + "بِ": 4031, + "لى": 4032, + "ين": 4033, + "إِ": 4034, + "لِ": 4035, + "وا": 4036, + "كَ": 4037, + "ها": 4038, + "ًا": 4039, + "مُ": 4040, + "ون": 4041, + "الم": 4042, + "بَ": 4043, + "يا": 4044, + "ذا": 4045, + "سا": 4046, + "الل": 4047, + "مي": 4048, + "يْ": 4049, + "را": 4050, + "ري": 4051, + "لك": 4052, + "مَا": 4053, + "نَّ": 4054, + "لم": 4055, + "إن": 4056, + "ست": 4057, + "وم": 4058, + "َّا": 4059, + "لَا": 4060, + "هم": 4061, + "ِّ": 4062, + "كُ": 4063, + "كان": 4064, + "سَ": 4065, + "با": 4066, + "دي": 4067, + "حَ": 4068, + "عْ": 4069, + "بي": 4070, + "الأ": 4071, + "ول": 4072, + "فِي": 4073, + "رِ": 4074, + "دا": 4075, + "مِنْ": 4076, + "ُونَ": 4077, + "وْ": 4078, + "هَا": 4079, + "ُّ": 4080, + "الس": 4081, + "الَ": 4082, + "ني": 4083, + "لْ": 4084, + "تُ": 4085, + "هل": 4086, + "رة": 4087, + "دَ": 4088, + "سْ": 4089, + "تِ": 4090, + "نَا": 4091, + "رْ": 4092, + "اللَّ": 4093, + "سامي": 4094, + "كن": 4095, + "كل": 4096, + "هَ": 4097, + "عَلَ": 4098, + "على": 4099, + "مع": 4100, + "إلى": 4101, + "قد": 4102, + "الر": 4103, + "ُوا": 4104, + "ير": 4105, + "عن": 4106, + "يُ": 4107, + "نِ": 4108, + "بْ": 4109, + "الح": 4110, + "هُمْ": 4111, + "قا": 4112, + "ذه": 4113, + "الت": 4114, + "ِينَ": 4115, + "جَ": 4116, + "هذا": 4117, + "عد": 4118, + "الع": 4119, + "دْ": 4120, + "قَالَ": 4121, + "رُ": 4122, + "يم": 4123, + "ية": 4124, + "نُ": 4125, + "خَ": 4126, + "رب": 4127, + "الك": 4128, + "وَا": 4129, + "أنا": 4130, + "ةِ": 4131, + "الن": 4132, + "حد": 4133, + "عِ": 4134, + "تا": 4135, + "هو": 4136, + "فا": 4137, + "عا": 4138, + "الش": 4139, + "لُ": 4140, + "يت": 4141, + "ذَا": 4142, + "يع": 4143, + "الذ": 4144, + "حْ": 4145, + "الص": 4146, + "إِنَّ": 4147, + "جا": 4148, + "علي": 4149, + "كَا": 4150, + "بُ": 4151, + "تع": 4152, + "وق": 4153, + "مل": 4154, + "لَّ": 4155, + "يد": 4156, + "أخ": 4157, + "رف": 4158, + "تي": 4159, + "الِ": 4160, + "ّا": 4161, + "ذلك": 4162, + "أَنْ": 4163, + "سِ": 4164, + "توم": 4165, + "مر": 4166, + "مَنْ": 4167, + "بل": 4168, + "الق": 4169, + "الله": 4170, + "ِيَ": 4171, + "كم": 4172, + "ذَ": 4173, + "عل": 4174, + "حب": 4175, + "سي": 4176, + "عُ": 4177, + "الج": 4178, + "الد": 4179, + "شَ": 4180, + "تك": 4181, + "فْ": 4182, + "صَ": 4183, + "لل": 4184, + "دِ": 4185, + "بر": 4186, + "فِ": 4187, + "ته": 4188, + "أع": 4189, + "تْ": 4190, + "قْ": 4191, + "الْأَ": 4192, + "ئِ": 4193, + "عَنْ": 4194, + "ور": 4195, + "حا": 4196, + "الَّ": 4197, + "مت": 4198, + "فر": 4199, + "دُ": 4200, + "هنا": 4201, + "وَأَ": 4202, + "تب": 4203, + "ةُ": 4204, + "أي": 4205, + "سب": 4206, + "ريد": 4207, + "وج": 4208, + "كُمْ": 4209, + "حِ": 4210, + "كْ": 4211, + "در": 4212, + "َاء": 4213, + "هذه": 4214, + "الط": 4215, + "الْمُ": 4216, + "دة": 4217, + "قل": 4218, + "غَ": 4219, + "يوم": 4220, + "الَّذ": 4221, + "كر": 4222, + "تر": 4223, + "كِ": 4224, + "كي": 4225, + "عَلَى": 4226, + "رَب": 4227, + "عة": 4228, + "قُ": 4229, + "جْ": 4230, + "فض": 4231, + "لة": 4232, + "هْ": 4233, + "رَا": 4234, + "وَلَ": 4235, + "الْمَ": 4236, + "أَنَّ": 4237, + "يَا": 4238, + "أُ": 4239, + "شي": 4240, + "اللَّهُ": 4241, + "لَى": 4242, + "قِ": 4243, + "أت": 4244, + "عَلَيْ": 4245, + "اللَّهِ": 4246, + "الب": 4247, + "ضَ": 4248, + "ةً": 4249, + "قي": 4250, + "ار": 4251, + "بد": 4252, + "خْ": 4253, + "سْتَ": 4254, + "طَ": 4255, + "قَدْ": 4256, + "ذهب": 4257, + "أم": 4258, + "ماذا": 4259, + "وَإِ": 4260, + "ةٌ": 4261, + "ونَ": 4262, + "ليلى": 4263, + "ولا": 4264, + "حُ": 4265, + "هي": 4266, + "صل": 4267, + "الخ": 4268, + "ود": 4269, + "ليس": 4270, + "لدي": 4271, + "قال": 4272, + "كَانَ": 4273, + "مَّ": 4274, + "حي": 4275, + "تم": 4276, + "لن": 4277, + "وَلَا": 4278, + "بع": 4279, + "يمكن": 4280, + "سُ": 4281, + "ةَ": 4282, + "حت": 4283, + "رًا": 4284, + "كا": 4285, + "شا": 4286, + "هِمْ": 4287, + "لَهُ": 4288, + "زَ": 4289, + "داً": 4290, + "مس": 4291, + "كث": 4292, + "الْعَ": 4293, + "جِ": 4294, + "صْ": 4295, + "فَا": 4296, + "له": 4297, + "وي": 4298, + "عَا": 4299, + "هُوَ": 4300, + "بِي": 4301, + "بَا": 4302, + "أس": 4303, + "ثَ": 4304, + "لِي": 4305, + "رض": 4306, + "الرَّ": 4307, + "لِكَ": 4308, + "تَّ": 4309, + "فُ": 4310, + "قة": 4311, + "فعل": 4312, + "مِن": 4313, + "الآ": 4314, + "ثُ": 4315, + "سم": 4316, + "مَّا": 4317, + "بِهِ": 4318, + "تق": 4319, + "خر": 4320, + "لقد": 4321, + "خل": 4322, + "شر": 4323, + "أنت": 4324, + "لَّا": 4325, + "سن": 4326, + "السَّ": 4327, + "الذي": 4328, + "سَا": 4329, + "وما": 4330, + "زل": 4331, + "وب": 4332, + "أْ": 4333, + "إذا": 4334, + "رِي": 4335, + "حة": 4336, + "نِي": 4337, + "الْحَ": 4338, + "وَقَالَ": 4339, + "به": 4340, + "ةٍ": 4341, + "سأ": 4342, + "رٌ": 4343, + "بال": 4344, + "مة": 4345, + "شْ": 4346, + "وت": 4347, + "عند": 4348, + "فس": 4349, + "بَعْ": 4350, + "هر": 4351, + "قط": 4352, + "أح": 4353, + "إنه": 4354, + "وع": 4355, + "فت": 4356, + "غا": 4357, + "هناك": 4358, + "بت": 4359, + "مِنَ": 4360, + "سر": 4361, + "ذَلِكَ": 4362, + "رس": 4363, + "حدث": 4364, + "غْ": 4365, + "ِّي": 4366, + "الإ": 4367, + "وَيَ": 4368, + "جل": 4369, + "است": 4370, + "قِي": 4371, + "عب": 4372, + "وس": 4373, + "يش": 4374, + "الَّذِينَ": 4375, + "تاب": 4376, + "دِي": 4377, + "جب": 4378, + "كون": 4379, + "بن": 4380, + "الث": 4381, + "لَيْ": 4382, + "بعد": 4383, + "وَالْ": 4384, + "فَأَ": 4385, + "عم": 4386, + "هُم": 4387, + "تن": 4388, + "ذْ": 4389, + "أص": 4390, + "أين": 4391, + "رَبِّ": 4392, + "الذين": 4393, + "إِن": 4394, + "بين": 4395, + "جُ": 4396, + "عَلَيْهِ": 4397, + "حَا": 4398, + "لو": 4399, + "ستط": 4400, + "ظر": 4401, + "لَمْ": 4402, + "ءِ": 4403, + "كُل": 4404, + "طل": 4405, + "تَا": 4406, + "ضُ": 4407, + "كنت": 4408, + "لًا": 4409, + "مٌ": 4410, + "قبل": 4411, + "ــ": 4412, + "ذِ": 4413, + "قَوْ": 4414, + "صِ": 4415, + "مًا": 4416, + "كانت": 4417, + "صا": 4418, + "يق": 4419, + "الف": 4420, + "النا": 4421, + "مٍ": 4422, + "إِنْ": 4423, + "النَّ": 4424, + "جد": 4425, + "وَمَا": 4426, + "تت": 4427, + "بح": 4428, + "مكان": 4429, + "كيف": 4430, + "ّة": 4431, + "الا": 4432, + "جَا": 4433, + "أو": 4434, + "ساعد": 4435, + "ضِ": 4436, + "إلا": 4437, + "راً": 4438, + "قَا": 4439, + "رأ": 4440, + "عت": 4441, + "أحد": 4442, + "هد": 4443, + "ضا": 4444, + "طر": 4445, + "أق": 4446, + "ماء": 4447, + "دَّ": 4448, + "البا": 4449, + "مُو": 4450, + "أَوْ": 4451, + "طا": 4452, + "قُو": 4453, + "خِ": 4454, + "تل": 4455, + "ستطيع": 4456, + "دَا": 4457, + "النَّا": 4458, + "إلَى": 4459, + "وَتَ": 4460, + "هَذَا": 4461, + "بة": 4462, + "عليك": 4463, + "جر": 4464, + "المن": 4465, + "زا": 4466, + "رٍ": 4467, + "دع": 4468, + "ًّا": 4469, + "سة": 4470, + "ثُمَّ": 4471, + "شيء": 4472, + "الغ": 4473, + "تح": 4474, + "رُونَ": 4475, + "اليوم": 4476, + "مِي": 4477, + "نُوا": 4478, + "أر": 4479, + "تُمْ": 4480, + "عر": 4481, + "يف": 4482, + "أب": 4483, + "دًا": 4484, + "صَا": 4485, + "التَّ": 4486, + "أريد": 4487, + "الز": 4488, + "يَوْ": 4489, + "إلي": 4490, + "جي": 4491, + "يَعْ": 4492, + "فضل": 4493, + "الإن": 4494, + "أنه": 4495, + "1": 4496, + "2": 4497, + "3": 4498, + "4": 4499, + "5": 4500, + "·": 4501, + "×": 4502, + "̃": 4503, + "̌": 4504, + "ε": 4505, + "λ": 4506, + "μ": 4507, + "•": 4508, + "‧": 4509, + "─": 4510, + "□": 4511, + "、": 4512, + "。": 4513, + "〈": 4514, + "〉": 4515, + "《": 4516, + "》": 4517, + "「": 4518, + "」": 4519, + "『": 4520, + "』": 4521, + "ア": 4522, + "オ": 4523, + "カ": 4524, + "チ": 4525, + "ド": 4526, + "ベ": 4527, + "ャ": 4528, + "ヤ": 4529, + "ン": 4530, + "・": 4531, + "ー": 4532, + "ㄟ": 4533, + "！": 4534, + "（": 4535, + "）": 4536, + "，": 4537, + "－": 4538, + "／": 4539, + "：": 4540, + "；": 4541, + "？": 4542, + "ｐ": 4543, + "i4": 4544, + "zh": 4545, + "i2": 4546, + "ng1": 4547, + "u4": 4548, + "i1": 4549, + "ng2": 4550, + "u3": 4551, + "de5": 4552, + "e4": 4553, + "i3": 4554, + "ng4": 4555, + "an4": 4556, + "shi4": 4557, + "an2": 4558, + "u2": 4559, + "u1": 4560, + "ng3": 4561, + "a1": 4562, + "an1": 4563, + "e2": 4564, + "a4": 4565, + "ei4": 4566, + "ong1": 4567, + "ai4": 4568, + "ao4": 4569, + "ang1": 4570, + "an3": 4571, + "wei4": 4572, + "uo2": 4573, + "n1": 4574, + "en2": 4575, + "ao3": 4576, + "e1": 4577, + "qi": 4578, + "eng2": 4579, + "zho": 4580, + "ang3": 4581, + "ang4": 4582, + "ang2": 4583, + "uo4": 4584, + "ge4": 4585, + "yi1": 4586, + "guo2": 4587, + "a3": 4588, + "he2": 4589, + "e3": 4590, + "yi2": 4591, + "di4": 4592, + "zhong1": 4593, + "bu4": 4594, + "ai2": 4595, + "n2": 4596, + "zai4": 4597, + "shi2": 4598, + "eng1": 4599, + "ren2": 4600, + "ong2": 4601, + "xian4": 4602, + "xu": 4603, + "n4": 4604, + "li4": 4605, + "en4": 4606, + "yu2": 4607, + "ei2": 4608, + "yi2ge4": 4609, + "ou4": 4610, + "ei3": 4611, + "ui4": 4612, + "a2": 4613, + "you3": 4614, + "ao1": 4615, + "da4": 4616, + "cheng2": 4617, + "en1": 4618, + "eng4": 4619, + "yi4": 4620, + "si1": 4621, + "zhi4": 4622, + "jia1": 4623, + "yuan2": 4624, + "ta1": 4625, + "de5yi2ge4": 4626, + "ke1": 4627, + "shu3": 4628, + "xi1": 4629, + "ji2": 4630, + "ao2": 4631, + "ou3": 4632, + "ong4": 4633, + "xia4": 4634, + "ai1": 4635, + "gong1": 4636, + "zhi1": 4637, + "en3": 4638, + "wei2": 4639, + "xue2": 4640, + "qu1": 4641, + "zhou1": 4642, + "er3": 4643, + "ming2": 4644, + "zhong3": 4645, + "li3": 4646, + "wu4": 4647, + "yi3": 4648, + "uo1": 4649, + "e5": 4650, + "ji4": 4651, + "xing2": 4652, + "jian4": 4653, + "hua4": 4654, + "yu3": 4655, + "uo3": 4656, + "ji1": 4657, + "ai3": 4658, + "zuo4": 4659, + "hou4": 4660, + "hui4": 4661, + "ei1": 4662, + "nian2": 4663, + "qi2": 4664, + "dao4": 4665, + "sheng1": 4666, + "de2": 4667, + "dai4": 4668, + "uan2": 4669, + "zhe4": 4670, + "zheng4": 4671, + "ben3": 4672, + "shang4": 4673, + "zhu3": 4674, + "bei4": 4675, + "ye4": 4676, + "chu1": 4677, + "zhan4": 4678, + "le5": 4679, + "lai2": 4680, + "shi3": 4681, + "nan2": 4682, + "ren4": 4683, + "you2": 4684, + "ke4": 4685, + "ba1": 4686, + "fu4": 4687, + "dui4": 4688, + "ya4": 4689, + "mei3": 4690, + "zi4": 4691, + "xin1": 4692, + "jing1": 4693, + "zhu": 4694, + "n3": 4695, + "yong4": 4696, + "mu4": 4697, + "jiao4": 4698, + "ye3": 4699, + "jin4": 4700, + "bian4": 4701, + "lu4": 4702, + "qi1": 4703, + "she4": 4704, + "xiang1": 4705, + "ong3": 4706, + "shu4": 4707, + "dong4": 4708, + "suo3": 4709, + "guan1": 4710, + "san1": 4711, + "te4": 4712, + "duo1": 4713, + "fu2": 4714, + "min2": 4715, + "la1": 4716, + "zhi2": 4717, + "zhen4": 4718, + "ou1": 4719, + "wu3": 4720, + "ma3": 4721, + "i5": 4722, + "zi5": 4723, + "ju4": 4724, + "er4": 4725, + "yao4": 4726, + "xia4de5yi2ge4": 4727, + "si4": 4728, + "tu2": 4729, + "shan1": 4730, + "zui4": 4731, + "yin1": 4732, + "er2": 4733, + "tong2": 4734, + "dong1": 4735, + "yu4": 4736, + "yan2": 4737, + "qian2": 4738, + "shu3xia4de5yi2ge4": 4739, + "jun1": 4740, + "ke3": 4741, + "wen2": 4742, + "fa3": 4743, + "luo2": 4744, + "zhu4": 4745, + "xi4": 4746, + "kou3": 4747, + "bei3": 4748, + "jian1": 4749, + "fa1": 4750, + "dian4": 4751, + "jiang1": 4752, + "wei4yu2": 4753, + "xiang4": 4754, + "zhi3": 4755, + "eng3": 4756, + "fang1": 4757, + "lan2": 4758, + "shu": 4759, + "ri4": 4760, + "lian2": 4761, + "shou3": 4762, + "qiu2": 4763, + "jin1": 4764, + "huo4": 4765, + "shu3xia4de5yi2ge4zhong3": 4766, + "fen1": 4767, + "nei4": 4768, + "gai1": 4769, + "mei3guo2": 4770, + "un2": 4771, + "ge2": 4772, + "bao3": 4773, + "qing1": 4774, + "gao1": 4775, + "tai2": 4776, + "xiao3": 4777, + "jie2": 4778, + "tian1": 4779, + "chang2": 4780, + "quan2": 4781, + "lie4": 4782, + "hai3": 4783, + "fei1": 4784, + "ti3": 4785, + "jue2": 4786, + "ou2": 4787, + "ci3": 4788, + "zu2": 4789, + "ni2": 4790, + "biao3": 4791, + "zhong1guo2": 4792, + "du4": 4793, + "yue4": 4794, + "xing4": 4795, + "sheng4": 4796, + "che1": 4797, + "dan1": 4798, + "jie1": 4799, + "lin2": 4800, + "ping2": 4801, + "fu3": 4802, + "gu3": 4803, + "jie4": 4804, + "v3": 4805, + "sheng3": 4806, + "na4": 4807, + "yuan4": 4808, + "zhang3": 4809, + "guan3": 4810, + "dao3": 4811, + "zu3": 4812, + "ding4": 4813, + "dian3": 4814, + "ceng2": 4815, + "ren2kou3": 4816, + "tai4": 4817, + "tong1": 4818, + "guo4": 4819, + "neng2": 4820, + "chang3": 4821, + "hua2": 4822, + "liu2": 4823, + "ying1": 4824, + "xiao4": 4825, + "ci4": 4826, + "bian4hua4": 4827, + "liang3": 4828, + "gong4": 4829, + "zhong4": 4830, + "de5yi1": 4831, + "se4": 4832, + "kai1": 4833, + "wang2": 4834, + "jiu4": 4835, + "shi1": 4836, + "shou4": 4837, + "mei2": 4838, + "feng1": 4839, + "ze2": 4840, + "tu2shi4": 4841, + "ti2": 4842, + "qi4": 4843, + "jiu3": 4844, + "shen1": 4845, + "zhe3": 4846, + "ren2kou3bian4hua4": 4847, + "ren2kou3bian4hua4tu2shi4": 4848, + "di4qu1": 4849, + "yang2": 4850, + "men5": 4851, + "long2": 4852, + "bing4": 4853, + "chan3": 4854, + "zhu1": 4855, + "wei3": 4856, + "wai4": 4857, + "xing1": 4858, + "bo1": 4859, + "bi3": 4860, + "tang2": 4861, + "hua1": 4862, + "bo2": 4863, + "shui3": 4864, + "shu1": 4865, + "dou1": 4866, + "sai4": 4867, + "chao2": 4868, + "bi4": 4869, + "ling2": 4870, + "lei4": 4871, + "da4xue2": 4872, + "fen4": 4873, + "shu3de5": 4874, + "mu3": 4875, + "jiao1": 4876, + "dang1": 4877, + "cheng1": 4878, + "tong3": 4879, + "nv3": 4880, + "qi3": 4881, + "yan3": 4882, + "mian4": 4883, + "luo4": 4884, + "jing4": 4885, + "ge1": 4886, + "ru4": 4887, + "dan4": 4888, + "ri4ben3": 4889, + "pu3": 4890, + "yun4": 4891, + "huang2": 4892, + "wo3": 4893, + "lv": 4894, + "hai2": 4895, + "shi4yi1": 4896, + "xie1": 4897, + "ying3": 4898, + "wu2": 4899, + "shen2": 4900, + "wang3": 4901, + "guang3": 4902, + "liu4": 4903, + "su4": 4904, + "shi4zhen4": 4905, + "can1": 4906, + "cao3": 4907, + "xia2": 4908, + "ka3": 4909, + "da2": 4910, + "hu4": 4911, + "ban4": 4912, + "dang3": 4913, + "hu2": 4914, + "zong3": 4915, + "deng3": 4916, + "de5yi2ge4shi4zhen4": 4917, + "chuan2": 4918, + "mo4": 4919, + "zhang1": 4920, + "ban1": 4921, + "mo2": 4922, + "cha2": 4923, + "ce4": 4924, + "zhu3yao4": 4925, + "tou2": 4926, + "ju2": 4927, + "shi4wei4yu2": 4928, + "sa4": 4929, + "un1": 4930, + "ke3yi3": 4931, + "du1": 4932, + "han4": 4933, + "liang4": 4934, + "sha1": 4935, + "jia3": 4936, + "zi1": 4937, + "lv4": 4938, + "fu1": 4939, + "xian1": 4940, + "xu4": 4941, + "guang1": 4942, + "meng2": 4943, + "bao4": 4944, + "you4": 4945, + "rong2": 4946, + "zhi1yi1": 4947, + "wei1": 4948, + "mao2": 4949, + "guo2jia1": 4950, + "cong2": 4951, + "gou4": 4952, + "tie3": 4953, + "zhen1": 4954, + "du2": 4955, + "bian1": 4956, + "ci2": 4957, + "qu3": 4958, + "fan4": 4959, + "xiang3": 4960, + "men2": 4961, + "ju1": 4962, + "hong2": 4963, + "zi3": 4964, + "ta1men5": 4965, + "ji3": 4966, + "zong1": 4967, + "zhou1de5yi2ge4shi4zhen4": 4968, + "tuan2": 4969, + "jing3": 4970, + "gong1si1": 4971, + "xie4": 4972, + "li2": 4973, + "li4shi3": 4974, + "bao1": 4975, + "gang3": 4976, + "gui1": 4977, + "zheng1": 4978, + "zhi2wu4": 4979, + "ta1de5": 4980, + "pin3": 4981, + "zhuan1": 4982, + "chong2": 4983, + "shi3yong4": 4984, + "wa3": 4985, + "shuo1": 4986, + "chuan1": 4987, + "lei2": 4988, + "wan1": 4989, + "huo2": 4990, + "su1": 4991, + "zao3": 4992, + "gai3": 4993, + "qu4": 4994, + "gu4": 4995, + "xi2": 4996, + "hang2": 4997, + "ying4": 4998, + "cun1": 4999, + "gen1": 5000, + "ying2": 5001, + "ting2": 5002, + "cheng2shi4": 5003, + "jiang3": 5004, + "ling3": 5005, + "lun2": 5006, + "bu4fen4": 5007, + "deng1": 5008, + "xuan3": 5009, + "dong4wu4": 5010, + "de2guo2": 5011, + "xian3": 5012, + "fan3": 5013, + "zhe5": 5014, + "han2": 5015, + "hao4": 5016, + "mi4": 5017, + "ran2": 5018, + "qin1": 5019, + "tiao2": 5020, + "zhan3": 5021, + "[ar]": 5022, + "[zh-cn]": 5023, + "¡": 5024, + "é": 5025, + "shi": 5026, + "tsu": 5027, + "teki": 5028, + "nai": 5029, + "aru": 5030, + "uu": 5031, + "kai": 5032, + "shite": 5033, + "mono": 5034, + "koto": 5035, + "kara": 5036, + "shita": 5037, + "suru": 5038, + "masu": 5039, + "tai": 5040, + "ware": 5041, + "shin": 5042, + "oku": 5043, + "yuu": 5044, + "iru": 5045, + "jiko": 5046, + "desu": 5047, + "rare": 5048, + "shou": 5049, + "sha": 5050, + "sekai": 5051, + "kyou": 5052, + "mashita": 5053, + "nara": 5054, + "kei": 5055, + "ita": 5056, + "ari": 5057, + "itsu": 5058, + "kono": 5059, + "naka": 5060, + "chou": 5061, + "sore": 5062, + "naru": 5063, + "gaku": 5064, + "reba": 5065, + "hito": 5066, + "sai": 5067, + "nan": 5068, + "dai": 5069, + "tsuku": 5070, + "shiki": 5071, + "sare": 5072, + "naku": 5073, + "jun": 5074, + "kaku": 5075, + "zai": 5076, + "wata": 5077, + "shuu": 5078, + "ii": 5079, + "kare": 5080, + "shii": 5081, + "made": 5082, + "sho": 5083, + "kereba": 5084, + "shika": 5085, + "ichi": 5086, + "deki": 5087, + "nin": 5088, + "wareware": 5089, + "nakereba": 5090, + "oite": 5091, + "yaku": 5092, + "mujun": 5093, + "yoku": 5094, + "butsu": 5095, + "omo": 5096, + "gae": 5097, + "naranai": 5098, + "tachi": 5099, + "chuu": 5100, + "kangae": 5101, + "toki": 5102, + "koro": 5103, + "mujunteki": 5104, + "naga": 5105, + "jin": 5106, + "shima": 5107, + "iku": 5108, + "imasu": 5109, + "hon": 5110, + "kae": 5111, + "kore": 5112, + "kita": 5113, + "datta": 5114, + "jitsu": 5115, + "mae": 5116, + "toku": 5117, + "douitsu": 5118, + "ritsu": 5119, + "kyuu": 5120, + "hyou": 5121, + "rareta": 5122, + "keisei": 5123, + "kkan": 5124, + "rareru": 5125, + "mou": 5126, + "doko": 5127, + "ryou": 5128, + "dake": 5129, + "nakatta": 5130, + "soko": 5131, + "tabe": 5132, + "hana": 5133, + "fuku": 5134, + "yasu": 5135, + "wataku": 5136, + "yama": 5137, + "kyo": 5138, + "genzai": 5139, + "boku": 5140, + "ata": 5141, + "kawa": 5142, + "masen": 5143, + "juu": 5144, + "natte": 5145, + "watakushi": 5146, + "yotte": 5147, + "hai": 5148, + "jishin": 5149, + "rete": 5150, + "oka": 5151, + "kagaku": 5152, + "natta": 5153, + "karu": 5154, + "nari": 5155, + "mata": 5156, + "kuru": 5157, + "gai": 5158, + "kari": 5159, + "shakai": 5160, + "koui": 5161, + "yori": 5162, + "setsu": 5163, + "reru": 5164, + "tokoro": 5165, + "jutsu": 5166, + "saku": 5167, + "ttai": 5168, + "ningen": 5169, + "tame": 5170, + "kankyou": 5171, + "ooku": 5172, + "watashi": 5173, + "tsukuru": 5174, + "sugi": 5175, + "jibun": 5176, + "shitsu": 5177, + "keru": 5178, + "kishi": 5179, + "shikashi": 5180, + "moto": 5181, + "mari": 5182, + "itte": 5183, + "deshita": 5184, + "nde": 5185, + "arimasu": 5186, + "koe": 5187, + "zettai": 5188, + "kkanteki": 5189, + "rekishi": 5190, + "dekiru": 5191, + "tsuka": 5192, + "itta": 5193, + "kobutsu": 5194, + "miru": 5195, + "shoku": 5196, + "shimasu": 5197, + "gijutsu": 5198, + "gyou": 5199, + "joushiki": 5200, + "atta": 5201, + "hodo": 5202, + "koko": 5203, + "tsukurareta": 5204, + "zoku": 5205, + "hitei": 5206, + "koku": 5207, + "rekishiteki": 5208, + "kete": 5209, + "kako": 5210, + "nagara": 5211, + "kakaru": 5212, + "shutai": 5213, + "haji": 5214, + "taku": 5215, + "douitsuteki": 5216, + "mete": 5217, + "tsuu": 5218, + "sarete": 5219, + "genjitsu": 5220, + "bai": 5221, + "nawa": 5222, + "jikan": 5223, + "waru": 5224, + "rt": 5225, + "atsu": 5226, + "soku": 5227, + "kouiteki": 5228, + "kata": 5229, + "tetsu": 5230, + "gawa": 5231, + "kedo": 5232, + "reta": 5233, + "sayou": 5234, + "tteru": 5235, + "tori": 5236, + "kimi": 5237, + "mura": 5238, + "sareru": 5239, + "machi": 5240, + "kya": 5241, + "osa": 5242, + "konna": 5243, + "aku": 5244, + "sareta": 5245, + "ipp": 5246, + "shiku": 5247, + "uchi": 5248, + "hitotsu": 5249, + "hatara": 5250, + "tachiba": 5251, + "shiro": 5252, + "katachi": 5253, + "tomo": 5254, + "ete": 5255, + "meru": 5256, + "nichi": 5257, + "dare": 5258, + "katta": 5259, + "eru": 5260, + "suki": 5261, + "ooki": 5262, + "maru": 5263, + "moku": 5264, + "oko": 5265, + "kangaerareru": 5266, + "oto": 5267, + "tanni": 5268, + "tada": 5269, + "taiteki": 5270, + "motte": 5271, + "kinou": 5272, + "shinai": 5273, + "kki": 5274, + "tari": 5275, + "ranai": 5276, + "kkou": 5277, + "mirai": 5278, + "ppon": 5279, + "goto": 5280, + "hitsu": 5281, + "teru": 5282, + "mochi": 5283, + "katsu": 5284, + "nyuu": 5285, + "zuka": 5286, + "tsuite": 5287, + "nomi": 5288, + "sugu": 5289, + "kuda": 5290, + "tetsugaku": 5291, + "ika": 5292, + "ronri": 5293, + "oki": 5294, + "nippon": 5295, + "shimashita": 5296, + "chishiki": 5297, + "chokkanteki": 5298, + "suko": 5299, + "kuu": 5300, + "arou": 5301, + "katte": 5302, + "kuri": 5303, + "inai": 5304, + "hyougen": 5305, + "ishiki": 5306, + "doku": 5307, + "atte": 5308, + "atara": 5309, + "wari": 5310, + "kao": 5311, + "seisan": 5312, + "hanashi": 5313, + "kake": 5314, + "naji": 5315, + "sunawa": 5316, + "sunawachi": 5317, + "ugo": 5318, + "suu": 5319, + "bara": 5320, + "hiro": 5321, + "iwa": 5322, + "betsu": 5323, + "yoi": 5324, + "seru": 5325, + "shiteru": 5326, + "rarete": 5327, + "toshi": 5328, + "seki": 5329, + "tairitsu": 5330, + "wakara": 5331, + "tokyo": 5332, + "kka": 5333, + "kyoku": 5334, + "iro": 5335, + "mite": 5336, + "saki": 5337, + "kanji": 5338, + "mita": 5339, + "sube": 5340, + "ryoku": 5341, + "matta": 5342, + "kudasai": 5343, + "omoi": 5344, + "wareru": 5345, + "hitsuyou": 5346, + "kashi": 5347, + "renai": 5348, + "kankei": 5349, + "gatte": 5350, + "ochi": 5351, + "motsu": 5352, + "sonzai": 5353, + "taishite": 5354, + "ame": 5355, + "seimei": 5356, + "kano": 5357, + "giri": 5358, + "kangaeru": 5359, + "yue": 5360, + "asa": 5361, + "onaji": 5362, + "yoru": 5363, + "niku": 5364, + "osaka": 5365, + "sukoshi": 5366, + "tama": 5367, + "kanojo": 5368, + "kite": 5369, + "mondai": 5370, + "amari": 5371, + "eki": 5372, + "kojin": 5373, + "haya": 5374, + "dete": 5375, + "atarashii": 5376, + "awa": 5377, + "gakkou": 5378, + "tsuzu": 5379, + "shukan": 5380, + "imashita": 5381, + "atae": 5382, + "darou": 5383, + "hataraku": 5384, + "gata": 5385, + "dachi": 5386, + "matsu": 5387, + "arimasen": 5388, + "seibutsu": 5389, + "mitsu": 5390, + "heya": 5391, + "yasui": 5392, + "deni": 5393, + "noko": 5394, + "haha": 5395, + "domo": 5396, + "kami": 5397, + "sudeni": 5398, + "nao": 5399, + "raku": 5400, + "ike": 5401, + "meta": 5402, + "kodomo": 5403, + "soshite": 5404, + "game": 5405, + "bakari": 5406, + "tote": 5407, + "hatsu": 5408, + "mise": 5409, + "mokuteki": 5410, + "dakara": 5411, + "[ja]": 5412, + "ő": 5413, + "ű": 5414, + "そ": 5415, + "な": 5416, + "ん": 5417, + "포": 5418, + "�": 5419, + "gy": 5420, + "eg": 5421, + "cs": 5422, + "ál": 5423, + "egy": 5424, + "át": 5425, + "ott": 5426, + "ett": 5427, + "meg": 5428, + "hogy": 5429, + "ég": 5430, + "ól": 5431, + "nek": 5432, + "volt": 5433, + "ág": 5434, + "nk": 5435, + "ék": 5436, + "ít": 5437, + "ák": 5438, + "ud": 5439, + "szer": 5440, + "mind": 5441, + "oz": 5442, + "ép": 5443, + "ért": 5444, + "mond": 5445, + "szt": 5446, + "nak": 5447, + "ől": 5448, + "csak": 5449, + "oly": 5450, + "áll": 5451, + "ány": 5452, + "mint": 5453, + "már": 5454, + "ött": 5455, + "nagy": 5456, + "ész": 5457, + "azt": 5458, + "elő": 5459, + "tud": 5460, + "ény": 5461, + "áz": 5462, + "még": 5463, + "köz": 5464, + "ely": 5465, + "ség": 5466, + "hoz": 5467, + "uk": 5468, + "kez": 5469, + "ám": 5470, + "aj": 5471, + "unk": 5472, + "vagy": 5473, + "szem": 5474, + "ember": 5475, + "fog": 5476, + "mert": 5477, + "ös": 5478, + "ság": 5479, + "leg": 5480, + "ünk": 5481, + "hát": 5482, + "ony": 5483, + "ezt": 5484, + "minden": 5485, + "ült": 5486, + "jó": 5487, + "kis": 5488, + "áj": 5489, + "úgy": 5490, + "most": 5491, + "ír": 5492, + "itt": 5493, + "elt": 5494, + "mondta": 5495, + "kell": 5496, + "ált": 5497, + "érd": 5498, + "tö": 5499, + "vár": 5500, + "lát": 5501, + "ők": 5502, + "vet": 5503, + "után": 5504, + "két": 5505, + "nap": 5506, + "ív": 5507, + "ály": 5508, + "vég": 5509, + "ök": 5510, + "dul": 5511, + "néz": 5512, + "ában": 5513, + "kül": 5514, + "akkor": 5515, + "szél": 5516, + "új": 5517, + "olyan": 5518, + "ked": 5519, + "hely": 5520, + "tör": 5521, + "ból": 5522, + "elm": 5523, + "ára": 5524, + "ló": 5525, + "volna": 5526, + "lehet": 5527, + "ebb": 5528, + "sok": 5529, + "olt": 5530, + "eket": 5531, + "bor": 5532, + "fej": 5533, + "gond": 5534, + "akar": 5535, + "fél": 5536, + "úl": 5537, + "otta": 5538, + "valami": 5539, + "jel": 5540, + "éd": 5541, + "arc": 5542, + "hall": 5543, + "föl": 5544, + "ába": 5545, + "olg": 5546, + "kir": 5547, + "old": 5548, + "kérd": 5549, + "jár": 5550, + "úr": 5551, + "zs": 5552, + "élet": 5553, + "ját": 5554, + "ov": 5555, + "éz": 5556, + "vil": 5557, + "őr": 5558, + "ög": 5559, + "lesz": 5560, + "koz": 5561, + "ább": 5562, + "király": 5563, + "eng": 5564, + "igaz": 5565, + "haj": 5566, + "kod": 5567, + "ról": 5568, + "több": 5569, + "szó": 5570, + "ében": 5571, + "öt": 5572, + "nyi": 5573, + "szól": 5574, + "gondol": 5575, + "egész": 5576, + "így": 5577, + "ős": 5578, + "obb": 5579, + "osan": 5580, + "ből": 5581, + "abb": 5582, + "őt": 5583, + "nál": 5584, + "kép": 5585, + "aztán": 5586, + "tart": 5587, + "beszél": 5588, + "előtt": 5589, + "aszt": 5590, + "maj": 5591, + "kör": 5592, + "hang": 5593, + "íz": 5594, + "incs": 5595, + "év": 5596, + "ód": 5597, + "ók": 5598, + "hozz": 5599, + "okat": 5600, + "nagyon": 5601, + "ház": 5602, + "ped": 5603, + "ezte": 5604, + "etlen": 5605, + "neki": 5606, + "majd": 5607, + "szony": 5608, + "ának": 5609, + "felé": 5610, + "egyszer": 5611, + "adt": 5612, + "gyer": 5613, + "amikor": 5614, + "foly": 5615, + "szak": 5616, + "őd": 5617, + "hú": 5618, + "ász": 5619, + "amely": 5620, + "ére": 5621, + "ilyen": 5622, + "oda": 5623, + "ják": 5624, + "tár": 5625, + "ával": 5626, + "lak": 5627, + "gyan": 5628, + "ély": 5629, + "út": 5630, + "kezd": 5631, + "mell": 5632, + "mikor": 5633, + "hez": 5634, + "való": 5635, + "szeret": 5636, + "rend": 5637, + "vissza": 5638, + "fő": 5639, + "asszony": 5640, + "ről": 5641, + "pedig": 5642, + "szép": 5643, + "ták": 5644, + "öv": 5645, + "világ": 5646, + "maga": 5647, + "szik": 5648, + "éj": 5649, + "ént": 5650, + "jött": 5651, + "szí": 5652, + "gat": 5653, + "ettem": 5654, + "hány": 5655, + "ást": 5656, + "ahol": 5657, + "őket": 5658, + "hár": 5659, + "nő": 5660, + "csi": 5661, + "talál": 5662, + "elte": 5663, + "látt": 5664, + "tört": 5665, + "hagy": 5666, + "esz": 5667, + "nél": 5668, + "kut": 5669, + "lány": 5670, + "amit": 5671, + "ső": 5672, + "ellen": 5673, + "magát": 5674, + "ugyan": 5675, + "külön": 5676, + "asz": 5677, + "mindig": 5678, + "lép": 5679, + "talán": 5680, + "szor": 5681, + "illan": 5682, + "nincs": 5683, + "vagyok": 5684, + "telen": 5685, + "ismer": 5686, + "isten": 5687, + "ított": 5688, + "jobb": 5689, + "ves": 5690, + "dult": 5691, + "juk": 5692, + "szen": 5693, + "öm": 5694, + "lett": 5695, + "egyik": 5696, + "bár": 5697, + "szi": 5698, + "szív": 5699, + "azon": 5700, + "eszt": 5701, + "föld": 5702, + "kuty": 5703, + "pillan": 5704, + "fér": 5705, + "től": 5706, + "tű": 5707, + "ébe": 5708, + "tött": 5709, + "barát": 5710, + "íg": 5711, + "ahogy": 5712, + "eh": 5713, + "ep": 5714, + "jelent": 5715, + "tat": 5716, + "szeg": 5717, + "mintha": 5718, + "egyen": 5719, + "szab": 5720, + "bizony": 5721, + "jon": 5722, + "öreg": 5723, + "dolg": 5724, + "csap": 5725, + "tiszt": 5726, + "állt": 5727, + "ancs": 5728, + "idő": 5729, + "ügy": 5730, + "miért": 5731, + "ót": 5732, + "csin": 5733, + "ének": 5734, + "vér": 5735, + "jól": 5736, + "alatt": 5737, + "mely": 5738, + "semmi": 5739, + "nyug": 5740, + "vág": 5741, + "követ": 5742, + "össze": 5743, + "mad": 5744, + "acs": 5745, + "fiú": 5746, + "másik": 5747, + "jön": 5748, + "szám": 5749, + "rész": 5750, + "kér": 5751, + "ével": 5752, + "[hu]": 5753, + "%": 5754, + "0": 5755, + "6": 5756, + "7": 5757, + "8": 5758, + "9": 5759, + "A": 5760, + "B": 5761, + "C": 5762, + "D": 5763, + "E": 5764, + "F": 5765, + "G": 5766, + "H": 5767, + "I": 5768, + "J": 5769, + "K": 5770, + "L": 5771, + "M": 5772, + "N": 5773, + "O": 5774, + "P": 5775, + "Q": 5776, + "R": 5777, + "S": 5778, + "T": 5779, + "U": 5780, + "V": 5781, + "W": 5782, + "X": 5783, + "Y": 5784, + "Z": 5785, + "Ł": 5786, + "α": 5787, + "ς": 5788, + "♥": 5789, + "か": 5790, + "ズ": 5791, + "因": 5792, + "国": 5793, + "怎": 5794, + "抱": 5795, + "推": 5796, + "有": 5797, + "樣": 5798, + "為": 5799, + "群": 5800, + "麼": 5801, + "eo": 5802, + "eul": 5803, + "eun": 5804, + "eon": 5805, + "ae": 5806, + "yeon": 5807, + "yeo": 5808, + "ui": 5809, + "hae": 5810, + "geo": 5811, + "neun": 5812, + "ssda": 5813, + "seo": 5814, + "eong": 5815, + "kk": 5816, + "jeo": 5817, + "deul": 5818, + "eum": 5819, + "yeong": 5820, + "geos": 5821, + "hag": 5822, + "aneun": 5823, + "iss": 5824, + "dae": 5825, + "eob": 5826, + "eol": 5827, + "geu": 5828, + "jeong": 5829, + "sae": 5830, + "doe": 5831, + "geul": 5832, + "eulo": 5833, + "bn": 5834, + "sang": 5835, + "bnida": 5836, + "haneun": 5837, + "jeog": 5838, + "saeng": 5839, + "ineun": 5840, + "anh": 5841, + "salam": 5842, + "eom": 5843, + "nae": 5844, + "gwa": 5845, + "yeol": 5846, + "eseo": 5847, + "myeon": 5848, + "ttae": 5849, + "hw": 5850, + "eobs": 5851, + "jang": 5852, + "gw": 5853, + "ileul": 5854, + "yeog": 5855, + "jeon": 5856, + "sig": 5857, + "jag": 5858, + "hago": 5859, + "deun": 5860, + "seong": 5861, + "gag": 5862, + "ham": 5863, + "dang": 5864, + "leul": 5865, + "sil": 5866, + "dong": 5867, + "handa": 5868, + "eossda": 5869, + "aeg": 5870, + "seon": 5871, + "haessda": 5872, + "issda": 5873, + "ege": 5874, + "mul": 5875, + "jung": 5876, + "jig": 5877, + "issneun": 5878, + "geun": 5879, + "seubnida": 5880, + "won": 5881, + "daneun": 5882, + "eoh": 5883, + "deo": 5884, + "gam": 5885, + "jal": 5886, + "haeng": 5887, + "yang": 5888, + "bang": 5889, + "jae": 5890, + "saenggag": 5891, + "hage": 5892, + "sog": 5893, + "eoss": 5894, + "jasin": 5895, + "jil": 5896, + "eog": 5897, + "gyeong": 5898, + "gong": 5899, + "deon": 5900, + "haess": 5901, + "eung": 5902, + "joh": 5903, + "nal": 5904, + "myeong": 5905, + "eona": 5906, + "igo": 5907, + "gyeol": 5908, + "yag": 5909, + "gwan": 5910, + "uli": 5911, + "yong": 5912, + "lyeo": 5913, + "jog": 5914, + "eohge": 5915, + "bog": 5916, + "tong": 5917, + "manh": 5918, + "jeol": 5919, + "geol": 5920, + "aga": 5921, + "naneun": 5922, + "uneun": 5923, + "cheol": 5924, + "dol": 5925, + "bad": 5926, + "hamyeon": 5927, + "yeossda": 5928, + "ibnida": 5929, + "gye": 5930, + "eos": 5931, + "hwal": 5932, + "salamdeul": 5933, + "jiman": 5934, + "dangsin": 5935, + "jib": 5936, + "ttaemun": 5937, + "ib": 5938, + "eneun": 5939, + "eug": 5940, + "jeom": 5941, + "geuleon": 5942, + "hwa": 5943, + "assda": 5944, + "beob": 5945, + "bae": 5946, + "yeoss": 5947, + "chin": 5948, + "chaeg": 5949, + "geon": 5950, + "naega": 5951, + "iga": 5952, + "sigan": 5953, + "gil": 5954, + "hyeon": 5955, + "lyeog": 5956, + "gug": 5957, + "pyeon": 5958, + "wae": 5959, + "jul": 5960, + "seul": 5961, + "deung": 5962, + "hajiman": 5963, + "eumyeon": 5964, + "pil": 5965, + "nyeon": 5966, + "tae": 5967, + "pyo": 5968, + "jineun": 5969, + "beon": 5970, + "hada": 5971, + "seol": 5972, + "sip": 5973, + "daleun": 5974, + "salm": 5975, + "gyo": 5976, + "cheon": 5977, + "hagi": 5978, + "cheoleom": 5979, + "gal": 5980, + "ila": 5981, + "kkaji": 5982, + "anhneun": 5983, + "habnida": 5984, + "tteon": 5985, + "haeseo": 5986, + "doenda": 5987, + "ttal": 5988, + "ilo": 5989, + "seub": 5990, + "byeon": 5991, + "myeo": 5992, + "beol": 5993, + "jeung": 5994, + "chim": 5995, + "hwang": 5996, + "euneun": 5997, + "jong": 5998, + "boda": 5999, + "nol": 6000, + "neom": 6001, + "buteo": 6002, + "jigeum": 6003, + "eobsda": 6004, + "daelo": 6005, + "yul": 6006, + "pyeong": 6007, + "seoneun": 6008, + "salang": 6009, + "seut": 6010, + "heom": 6011, + "hyang": 6012, + "gwang": 6013, + "eobsneun": 6014, + "hwag": 6015, + "gess": 6016, + "jagi": 6017, + "ileon": 6018, + "wihae": 6019, + "daehan": 6020, + "gaji": 6021, + "meog": 6022, + "jyeo": 6023, + "chaj": 6024, + "byeong": 6025, + "eod": 6026, + "gyeo": 6027, + "eoji": 6028, + "gul": 6029, + "modeun": 6030, + "insaeng": 6031, + "geulae": 6032, + "sasil": 6033, + "sib": 6034, + "chal": 6035, + "ilago": 6036, + "geum": 6037, + "doeneun": 6038, + "bol": 6039, + "gajang": 6040, + "geuligo": 6041, + "hyeong": 6042, + "haengbog": 6043, + "chul": 6044, + "chae": 6045, + "mang": 6046, + "dam": 6047, + "choe": 6048, + "sijag": 6049, + "cheong": 6050, + "ilaneun": 6051, + "ulineun": 6052, + "aen": 6053, + "kke": 6054, + "munje": 6055, + "teu": 6056, + "geuneun": 6057, + "bge": 6058, + "cheo": 6059, + "baeg": 6060, + "jug": 6061, + "sangdae": 6062, + "geugeos": 6063, + "dog": 6064, + "eus": 6065, + "jab": 6066, + "hyeo": 6067, + "tteohge": 6068, + "chil": 6069, + "swi": 6070, + "jileul": 6071, + "chang": 6072, + "ganeun": 6073, + "iji": 6074, + "dago": 6075, + "yohan": 6076, + "teug": 6077, + "ppun": 6078, + "aleul": 6079, + "haengdong": 6080, + "sesang": 6081, + "edo": 6082, + "mandeul": 6083, + "amyeon": 6084, + "kkae": 6085, + "bag": 6086, + "ideul": 6087, + "pum": 6088, + "meol": 6089, + "neul": 6090, + "hamkke": 6091, + "chung": 6092, + "dab": 6093, + "yug": 6094, + "sag": 6095, + "gwangye": 6096, + "ileohge": 6097, + "balo": 6098, + "neunde": 6099, + "hamyeo": 6100, + "geuleoh": 6101, + "anila": 6102, + "bangbeob": 6103, + "dasi": 6104, + "byeol": 6105, + "gyeon": 6106, + "gamjeong": 6107, + "oneul": 6108, + "janeun": 6109, + "yeom": 6110, + "lago": 6111, + "igi": 6112, + "hwan": 6113, + "teul": 6114, + "eoseo": 6115, + "sik": 6116, + "jaga": 6117, + "geuleom": 6118, + "geuleona": 6119, + "jeongdo": 6120, + "gyeog": 6121, + "geuleohge": 6122, + "geudeul": 6123, + "eut": 6124, + "imyeon": 6125, + "jjae": 6126, + "keun": 6127, + "isang": 6128, + "malhaessda": 6129, + "euge": 6130, + "nop": 6131, + "ingan": 6132, + "bomyeon": 6133, + "taeg": 6134, + "dwi": 6135, + "saneun": 6136, + "wan": 6137, + "anhgo": 6138, + "nugu": 6139, + "sung": 6140, + "damyeon": 6141, + "adeul": 6142, + "peul": 6143, + "ttala": 6144, + "geosdo": 6145, + "aji": 6146, + "meon": 6147, + "eumyeo": 6148, + "dolog": 6149, + "neung": 6150, + "modu": 6151, + "[ko]": 6152, + "\u0014": 6153, + "\u0016": 6154, + "$": 6155, + "*": 6156, + "|": 6157, + "°": 6158, + "º": 6159, + "ँ": 6160, + "ं": 6161, + "ः": 6162, + "अ": 6163, + "आ": 6164, + "इ": 6165, + "ई": 6166, + "उ": 6167, + "ऊ": 6168, + "ऋ": 6169, + "ऎ": 6170, + "ए": 6171, + "ऐ": 6172, + "ऑ": 6173, + "ऒ": 6174, + "ओ": 6175, + "औ": 6176, + "क": 6177, + "ख": 6178, + "ग": 6179, + "घ": 6180, + "ङ": 6181, + "च": 6182, + "छ": 6183, + "ज": 6184, + "झ": 6185, + "ञ": 6186, + "ट": 6187, + "ठ": 6188, + "ड": 6189, + "ढ": 6190, + "ण": 6191, + "त": 6192, + "थ": 6193, + "द": 6194, + "ध": 6195, + "न": 6196, + "ऩ": 6197, + "प": 6198, + "फ": 6199, + "ब": 6200, + "भ": 6201, + "म": 6202, + "य": 6203, + "र": 6204, + "ऱ": 6205, + "ल": 6206, + "ळ": 6207, + "व": 6208, + "श": 6209, + "ष": 6210, + "स": 6211, + "ह": 6212, + "़": 6213, + "ा": 6214, + "ि": 6215, + "ी": 6216, + "ु": 6217, + "ू": 6218, + "ृ": 6219, + "ॄ": 6220, + "ॅ": 6221, + "ॆ": 6222, + "े": 6223, + "ै": 6224, + "ॉ": 6225, + "ॊ": 6226, + "ो": 6227, + "ौ": 6228, + "्": 6229, + "ॐ": 6230, + "ॖ": 6231, + "क़": 6232, + "ख़": 6233, + "ग़": 6234, + "ज़": 6235, + "ड़": 6236, + "ढ़": 6237, + "फ़": 6238, + "य़": 6239, + "ॠ": 6240, + "।": 6241, + "॥": 6242, + "०": 6243, + "१": 6244, + "२": 6245, + "३": 6246, + "४": 6247, + "५": 6248, + "६": 6249, + "७": 6250, + "८": 6251, + "९": 6252, + "॰": 6253, + "ॲ": 6254, + "​": 6255, + "‌": 6256, + "‍": 6257, + "‎": 6258, + "₹": 6259, + "के": 6260, + "है": 6261, + "ें": 6262, + "्र": 6263, + "ार": 6264, + "ने": 6265, + "या": 6266, + "में": 6267, + "से": 6268, + "की": 6269, + "का": 6270, + "ों": 6271, + "ता": 6272, + "कर": 6273, + "स्": 6274, + "कि": 6275, + "को": 6276, + "र्": 6277, + "ना": 6278, + "क्": 6279, + "ही": 6280, + "और": 6281, + "पर": 6282, + "ते": 6283, + "हो": 6284, + "प्र": 6285, + "ान": 6286, + "्य": 6287, + "ला": 6288, + "वा": 6289, + "ले": 6290, + "सा": 6291, + "हैं": 6292, + "लि": 6293, + "जा": 6294, + "हा": 6295, + "भी": 6296, + "वि": 6297, + "इस": 6298, + "ती": 6299, + "न्": 6300, + "रा": 6301, + "मा": 6302, + "दे": 6303, + "दि": 6304, + "बा": 6305, + "ति": 6306, + "था": 6307, + "नि": 6308, + "कार": 6309, + "एक": 6310, + "हीं": 6311, + "हु": 6312, + "ंग": 6313, + "ैं": 6314, + "नी": 6315, + "सी": 6316, + "अप": 6317, + "त्": 6318, + "नहीं": 6319, + "री": 6320, + "मे": 6321, + "मु": 6322, + "ित": 6323, + "तो": 6324, + "पा": 6325, + "ली": 6326, + "लिए": 6327, + "गा": 6328, + "ल्": 6329, + "रह": 6330, + "रे": 6331, + "क्ष": 6332, + "मैं": 6333, + "सम": 6334, + "उस": 6335, + "जि": 6336, + "त्र": 6337, + "मि": 6338, + "चा": 6339, + "ोग": 6340, + "सं": 6341, + "द्": 6342, + "सि": 6343, + "आप": 6344, + "तु": 6345, + "दा": 6346, + "कु": 6347, + "यों": 6348, + "वे": 6349, + "जी": 6350, + "्या": 6351, + "उन": 6352, + "िक": 6353, + "ये": 6354, + "भा": 6355, + "्ट": 6356, + "हम": 6357, + "स्ट": 6358, + "शा": 6359, + "ड़": 6360, + "ंद": 6361, + "खा": 6362, + "म्": 6363, + "श्": 6364, + "यह": 6365, + "सक": 6366, + "पू": 6367, + "किया": 6368, + "अपने": 6369, + "रू": 6370, + "सु": 6371, + "मी": 6372, + "हि": 6373, + "जो": 6374, + "थे": 6375, + "रि": 6376, + "दी": 6377, + "थी": 6378, + "गी": 6379, + "लोग": 6380, + "गया": 6381, + "तर": 6382, + "न्ह": 6383, + "च्": 6384, + "वार": 6385, + "बी": 6386, + "प्": 6387, + "दो": 6388, + "टी": 6389, + "शि": 6390, + "करने": 6391, + "गे": 6392, + "ैसे": 6393, + "इन": 6394, + "ंड": 6395, + "साथ": 6396, + "पु": 6397, + "बे": 6398, + "बार": 6399, + "वी": 6400, + "अन": 6401, + "हर": 6402, + "उन्ह": 6403, + "होता": 6404, + "जब": 6405, + "कुछ": 6406, + "मान": 6407, + "क्र": 6408, + "बि": 6409, + "पह": 6410, + "फि": 6411, + "सर": 6412, + "ारी": 6413, + "रो": 6414, + "दू": 6415, + "कहा": 6416, + "तक": 6417, + "शन": 6418, + "ब्": 6419, + "स्थ": 6420, + "वह": 6421, + "बाद": 6422, + "ओं": 6423, + "गु": 6424, + "ज्": 6425, + "्रे": 6426, + "गर": 6427, + "रहे": 6428, + "वर्": 6429, + "हू": 6430, + "ार्": 6431, + "पी": 6432, + "बहु": 6433, + "मुझ": 6434, + "्रा": 6435, + "दिया": 6436, + "सब": 6437, + "करते": 6438, + "अपनी": 6439, + "बहुत": 6440, + "कह": 6441, + "टे": 6442, + "हुए": 6443, + "किसी": 6444, + "रहा": 6445, + "ष्ट": 6446, + "ज़": 6447, + "बना": 6448, + "सो": 6449, + "डि": 6450, + "कोई": 6451, + "व्य": 6452, + "बात": 6453, + "रु": 6454, + "वो": 6455, + "मुझे": 6456, + "द्ध": 6457, + "चार": 6458, + "मेरे": 6459, + "वर": 6460, + "्री": 6461, + "जाता": 6462, + "नों": 6463, + "प्रा": 6464, + "देख": 6465, + "टा": 6466, + "क्या": 6467, + "अध": 6468, + "लग": 6469, + "लो": 6470, + "पि": 6471, + "यु": 6472, + "चे": 6473, + "जिस": 6474, + "ंत": 6475, + "ानी": 6476, + "पै": 6477, + "जन": 6478, + "ारे": 6479, + "ची": 6480, + "मिल": 6481, + "दु": 6482, + "देश": 6483, + "च्छ": 6484, + "ष्": 6485, + "सू": 6486, + "खे": 6487, + "चु": 6488, + "िया": 6489, + "लगा": 6490, + "बु": 6491, + "उनके": 6492, + "ज्ञ": 6493, + "क्षा": 6494, + "तरह": 6495, + "्यादा": 6496, + "वाले": 6497, + "पूर्": 6498, + "मैंने": 6499, + "काम": 6500, + "रूप": 6501, + "होती": 6502, + "उप": 6503, + "जान": 6504, + "प्रकार": 6505, + "भार": 6506, + "मन": 6507, + "हुआ": 6508, + "टर": 6509, + "हूँ": 6510, + "परि": 6511, + "पास": 6512, + "अनु": 6513, + "राज": 6514, + "लोगों": 6515, + "अब": 6516, + "समझ": 6517, + "डी": 6518, + "मौ": 6519, + "शु": 6520, + "चि": 6521, + "पे": 6522, + "कृ": 6523, + "सकते": 6524, + "मह": 6525, + "योग": 6526, + "दर्": 6527, + "उसे": 6528, + "ंध": 6529, + "डा": 6530, + "जाए": 6531, + "बो": 6532, + "ूल": 6533, + "मो": 6534, + "ोंने": 6535, + "ंस": 6536, + "तुम": 6537, + "पहले": 6538, + "बता": 6539, + "तथा": 6540, + "यो": 6541, + "गई": 6542, + "उत्": 6543, + "सकता": 6544, + "कम": 6545, + "ज्यादा": 6546, + "रख": 6547, + "समय": 6548, + "ारा": 6549, + "अगर": 6550, + "स्त": 6551, + "चल": 6552, + "फिर": 6553, + "वारा": 6554, + "करना": 6555, + "शी": 6556, + "गए": 6557, + "बन": 6558, + "ौर": 6559, + "होने": 6560, + "चाह": 6561, + "खु": 6562, + "हाँ": 6563, + "उन्हें": 6564, + "उन्होंने": 6565, + "छो": 6566, + "म्ह": 6567, + "प्रति": 6568, + "निक": 6569, + "वन": 6570, + "्यू": 6571, + "रही": 6572, + "तुम्ह": 6573, + "जैसे": 6574, + "ियों": 6575, + "क्यों": 6576, + "लों": 6577, + "फ़": 6578, + "ंत्र": 6579, + "होते": 6580, + "क्ति": 6581, + "त्य": 6582, + "कर्": 6583, + "कई": 6584, + "वं": 6585, + "किन": 6586, + "पो": 6587, + "कारण": 6588, + "ड़ी": 6589, + "भि": 6590, + "इसके": 6591, + "बर": 6592, + "उसके": 6593, + "द्वारा": 6594, + "शे": 6595, + "कॉ": 6596, + "दिन": 6597, + "न्न": 6598, + "ड़ा": 6599, + "स्व": 6600, + "निर्": 6601, + "मुख": 6602, + "लिया": 6603, + "टि": 6604, + "ज्ञान": 6605, + "क्त": 6606, + "द्र": 6607, + "ग्": 6608, + "क्स": 6609, + "मै": 6610, + "गो": 6611, + "जे": 6612, + "ट्र": 6613, + "मार": 6614, + "त्व": 6615, + "धार": 6616, + "भाव": 6617, + "करता": 6618, + "खि": 6619, + "कं": 6620, + "चाहि": 6621, + "यर": 6622, + "प्त": 6623, + "कों": 6624, + "ंच": 6625, + "जु": 6626, + "मत": 6627, + "अच्छ": 6628, + "हुई": 6629, + "कभी": 6630, + "लेकिन": 6631, + "भू": 6632, + "अपना": 6633, + "दूस": 6634, + "चाहिए": 6635, + "यू": 6636, + "घर": 6637, + "सबसे": 6638, + "मेरी": 6639, + "नाम": 6640, + "ढ़": 6641, + "ंट": 6642, + "ेंगे": 6643, + "बै": 6644, + "फा": 6645, + "एवं": 6646, + "यी": 6647, + "ग्र": 6648, + "क्षे": 6649, + "आज": 6650, + "आपको": 6651, + "भाग": 6652, + "ठा": 6653, + "कै": 6654, + "भारत": 6655, + "उनकी": 6656, + "पहु": 6657, + "सभी": 6658, + "धा": 6659, + "णा": 6660, + "सान": 6661, + "होगा": 6662, + "तब": 6663, + "संग": 6664, + "पर्": 6665, + "अव": 6666, + "तना": 6667, + "गि": 6668, + "यन": 6669, + "स्था": 6670, + "चित": 6671, + "ट्": 6672, + "छा": 6673, + "जाने": 6674, + "क्षेत्र": 6675, + "वाली": 6676, + "पूर्ण": 6677, + "समा": 6678, + "कारी": 6679, + "[hi]": 6680 + }, + "merges": [ + "t h", + "i n", + "th e", + "a n", + "e r", + "o u", + "r e", + "o n", + "a t", + "e d", + "e n", + "t o", + "in g", + "an d", + "i s", + "a s", + "a l", + "o r", + "o f", + "a r", + "i t", + "e s", + "h e", + "s t", + "l e", + "o m", + "s e", + "b e", + "a d", + "o w", + "l y", + "c h", + "w h", + "th at", + "y ou", + "l i", + "v e", + "a c", + "t i", + "l d", + "m e", + "w as", + "g h", + "i d", + "l l", + "w i", + "en t", + "f or", + "a y", + "r o", + "v er", + "i c", + "h er", + "k e", + "h is", + "n o", + "u t", + "u n", + "i r", + "l o", + "w e", + "r i", + "h a", + "wi th", + "gh t", + "ou t", + "i m", + "i on", + "al l", + "a b", + "on e", + "n e", + "g e", + "ou ld", + "t er", + "m o", + "h ad", + "c e", + "s he", + "g o", + "s h", + "u r", + "a m", + "s o", + "p e", + "m y", + "d e", + "a re", + "b ut", + "om e", + "f r", + "the r", + "f e", + "s u", + "d o", + "c on", + "t e", + "a in", + "er e", + "p o", + "i f", + "the y", + "u s", + "a g", + "t r", + "n ow", + "ou n", + "th is", + "ha ve", + "no t", + "s a", + "i l", + "u p", + "th ing", + "fr om", + "a p", + "h im", + "ac k", + "at ion", + "an t", + "ou r", + "o p", + "li ke", + "u st", + "es s", + "b o", + "o k", + "u l", + "in d", + "e x", + "c om", + "s ome", + "the re", + "er s", + "c o", + "re s", + "m an", + "ar d", + "p l", + "w or", + "w ay", + "ti on", + "f o", + "c a", + "w ere", + "b y", + "at e", + "p ro", + "t ed", + "oun d", + "ow n", + "w ould", + "t s", + "wh at", + "q u", + "al ly", + "i ght", + "c k", + "g r", + "wh en", + "v en", + "c an", + "ou gh", + "in e", + "en d", + "p er", + "ou s", + "o d", + "id e", + "k now", + "t y", + "ver y", + "s i", + "a k", + "wh o", + "ab out", + "i ll", + "the m", + "es t", + "re d", + "y e", + "c ould", + "on g", + "you r", + "the ir", + "e m", + "j ust", + "o ther", + "in to", + "an y", + "wh i", + "u m", + "t w", + "as t", + "d er", + "d id", + "i e", + "be en", + "ac e", + "in k", + "it y", + "b ack", + "t ing", + "b r", + "mo re", + "a ke", + "p p", + "the n", + "s p", + "e l", + "u se", + "b l", + "sa id", + "o ver", + "ge t", + "e n", + "e r", + "c h", + "e i", + "i e", + "u n", + "i ch", + "ei n", + "s t", + "a n", + "t e", + "g e", + "a u", + "i n", + "s ch", + "d er", + "un d", + "d ie", + "d a", + "e s", + "a l", + "d en", + "a r", + "g en", + "z u", + "d e", + "h r", + "o n", + "t en", + "e l", + "o r", + "m i", + "s ie", + "da s", + "a t", + "b e", + "ein e", + "ich t", + "b er", + "l e", + "a ch", + "v er", + "s e", + "au f", + "w i", + "s o", + "t er", + "l ich", + "c k", + "u r", + "n icht", + "m m", + "b en", + "a s", + "w ar", + "r e", + "mi t", + "s ich", + "i g", + "l l", + "au s", + "i st", + "w ie", + "o ch", + "un g", + "an n", + "ü r", + "h n", + "i hr", + "s a", + "s en", + "t z", + "de m", + "ei t", + "u m", + "h at", + "wi r", + "v on", + "h a", + "s p", + "w ei", + "i er", + "r o", + "h er", + "r a", + "ein en", + "n e", + "v or", + "al s", + "an d", + "al l", + "w as", + "w o", + "r ei", + "st e", + "l ie", + "au ch", + "d u", + "d es", + "k o", + "ü ber", + "a m", + "b ei", + "h en", + "h m", + "l ei", + "a ber", + "w en", + "h l", + "g er", + "i m", + "u t", + "n ach", + "h e", + "i s", + "b r", + "f t", + "en t", + "i mm", + "j e", + "sch en", + "w er", + "s er", + "a b", + "ä n", + "m e", + "s ein", + "i t", + "o l", + "ch t", + "f ür", + "k l", + "f f", + "eine m", + "n en", + "w e", + "j a", + "u s", + "n och", + "hat te", + "t r", + "p f", + "h in", + "d i", + "ch en", + "b l", + "m an", + "r ü", + "ie l", + "s el", + "das s", + "i hn", + "mi r", + "sch l", + "ö n", + "g an", + "g t", + "ein er", + "st en", + "m ich", + "wen n", + "el l", + "g te", + "in d", + "m al", + "ge l", + "k en", + "n ur", + "mm en", + "f ü", + "er n", + "ö r", + "un ter", + "f r", + "an der", + "g r", + "i l", + "d ur", + "u ch", + "f e", + "t a", + "m en", + "m ach", + "d och", + "t i", + "dur ch", + "o s", + "g l", + "h al", + "ihr e", + "w ä", + "imm er", + "i hm", + "k ann", + "or t", + "d ann", + "l an", + "tz t", + "o der", + "hr en", + "e t", + "k ön", + "i ck", + "f a", + "in g", + "i r", + "wie der", + "da ß", + "m ein", + "f en", + "gan z", + "die se", + "st er", + "da r", + "w a", + "ge s", + "n a", + "f l", + "i gen", + "sch e", + "un gen", + "me hr", + "ß en", + "o t", + "k on", + "ge w", + "ha ben", + "ge h", + "ä t", + "s ind", + "d r", + "w el", + "un s", + "v o", + "m a", + "u te", + "sch on", + "b es", + "ge sch", + "b t", + "ch e", + "s on", + "o b", + "l a", + "p p", + "rü ck", + "s eine", + "k r", + "f re", + "ei l", + "zu m", + "u l", + "h ier", + "k t", + "i ge", + "sp r", + "k e", + "le ben", + "b st", + "z eit", + "i on", + "g ro", + "den n", + "h o", + "sch a", + "b ar", + "al le", + "ge gen", + "w ür", + "m ü", + "z e", + "wer den", + "je tzt", + "ko mmen", + "n ie", + "s ei", + "h eit", + "so ll", + "g lei", + "m eine", + "wo ll", + "n er", + "ha be", + "w ur", + "lich en", + "p er", + "as sen", + "n te", + "se hen", + "wir d", + "b is", + "g ar", + "i en", + "m us", + "u ß", + "ä r", + "st ell", + "k eit", + "z wei", + "sel bst", + "st a", + "p a", + "sa gte", + "te t", + "k am", + "s sen", + "v iel", + "u g", + "z en", + "h ei", + "m ann", + "wi ll", + "ge b", + "war en", + "ü ck", + "ä ch", + "m er", + "r u", + "w or", + "h au", + "ei gen", + "an g", + "we g", + "bl ick", + "f ra", + "all es", + "k a", + "au gen", + "f in", + "lich e", + "t o", + "un ser", + "der n", + "her r", + "n un", + "v ie", + "ch te", + "wo hl", + "f all", + "h t", + "ü n", + "et was", + "st and", + "en d", + "ä u", + "e m", + "m ö", + "te l", + "r ie", + "d ich", + "die s", + "h and", + "b in", + "ff en", + "nicht s", + "d an", + "p l", + "hn e", + "ihn en", + "es en", + "die ser", + "fr au", + "an t", + "ar t", + "di r", + "i sch", + "er st", + "glei ch", + "ko mm", + "h ör", + "ß e", + "d ig", + "se hr", + "z ei", + "sa m", + "au m", + "h ät", + "in gen", + "g ut", + "b o", + "m ut", + "ck en", + "kon nte", + "st imm", + "p ro", + "zu r", + "i tz", + "wei l", + "wür de", + "f ä", + "kön nen", + "k eine", + "f er", + "i schen", + "vo ll", + "ein es", + "se tz", + "z ie", + "de l", + "te te", + "sein er", + "ier en", + "ge st", + "zu rück", + "wur de", + "sch n", + "p r", + "lie ß", + "t ra", + "m ä", + "gen d", + "f ol", + "i k", + "schl a", + "scha ft", + "at er", + "wei ß", + "s einen", + "l assen", + "l u", + "und en", + "t eil", + "ne u", + "ier t", + "men schen", + "hm en", + "st r", + "g i", + "sa h", + "ihr en", + "el n", + "wei ter", + "ge hen", + "ig er", + "mach t", + "ta g", + "al so", + "hal ten", + "n is", + "ach t", + "ge ben", + "f or", + "o g", + "n at", + "m ar", + "de t", + "o hne", + "h aus", + "t ro", + "an ge", + "l au", + "sp iel", + "t re", + "sch r", + "in n", + "s u", + "l os", + "mach en", + "hät te", + "be g", + "wir k", + "al t", + "g lich", + "te s", + "r icht", + "fre und", + "m o", + "ihr er", + "f el", + "b el", + "so l", + "ein mal", + "e ben", + "h ol", + "h än", + "q u", + "ter n", + "h ö", + "sch w", + "re cht", + "wa hr", + "s einem", + "ste hen", + "hl en", + "in s", + "g ing", + "woll te", + "wi ssen", + "ung s", + "al d", + "as s", + "ja hr", + "m or", + "wel t", + "un der", + "zu sa", + "at ion", + "ko pf", + "lan g", + "hin ter", + "at z", + "st ra", + "an gen", + "an k", + "a de", + "gl au", + "f ach", + "hat ten", + "l o", + "f ort", + "ei cht", + "i ff", + "l er", + "m ei", + "diese m", + "k ein", + "f rei", + "fü hr", + "vo m", + "e s", + "e n", + "a i", + "o u", + "o n", + "l e", + "d e", + "r e", + "q u", + "a n", + "e r", + "en t", + "e t", + "l a", + "n e", + "i l", + "a r", + "i s", + "ai t", + "t e", + "a u", + "i n", + "qu e", + "i t", + "u r", + "s e", + "l es", + "c h", + "c e", + "m e", + "o r", + "ou r", + "a s", + "p r", + "a v", + "o m", + "ai s", + "u n", + "an t", + "ou s", + "t r", + "t i", + "l u", + "o i", + "e u", + "l le", + "s i", + "p ar", + "d es", + "an s", + "m ent", + "é t", + "es t", + "j e", + "u ne", + "a l", + "p as", + "t re", + "qu i", + "d u", + "r i", + "c on", + "s on", + "c om", + "e lle", + "d é", + "p our", + "d ans", + "l i", + "s a", + "r é", + "t ou", + "v ous", + "d i", + "v i", + "a g", + "a m", + "a t", + "ou v", + "a p", + "ti on", + "m on", + "s ur", + "c i", + "o s", + "p lu", + "s u", + "en d", + "a b", + "è re", + "ai n", + "m ais", + "o is", + "r es", + "plu s", + "é e", + "ai ent", + "m p", + "ch e", + "lu i", + "av e", + "ét ait", + "m a", + "s es", + "tou t", + "i r", + "v o", + "a c", + "s er", + "an d", + "f f", + "oi r", + "g r", + "av ait", + "é s", + "m es", + "n ous", + "eu x", + "b i", + "t er", + "c o", + "on s", + "p u", + "c es", + "g e", + "t u", + "le ur", + "pr o", + "d on", + "e ur", + "et te", + "ai re", + "ave c", + "d it", + "t é", + "i e", + "u s", + "il le", + "p er", + "com me", + "c r", + "or t", + "m i", + "e x", + "u x", + "v er", + "m o", + "è s", + "v e", + "au x", + "r a", + "j our", + "il s", + "bi en", + "c ou", + "p e", + "que l", + "p eu", + "c ette", + "t es", + "p o", + "in s", + "c u", + "m ê", + "s o", + "f ait", + "g u", + "m ar", + "ê tre", + "l o", + "it é", + "f r", + "a tion", + "en s", + "b r", + "n i", + "l é", + "d is", + "b le", + "m an", + "n é", + "pu is", + "mê me", + "qu es", + "f i", + "e l", + "ag e", + "g ar", + "m oi", + "en ce", + "on t", + "m ain", + "or s", + "au t", + "an ce", + "v en", + "m é", + "s ans", + "e m", + "s é", + "l on", + "h om", + "r o", + "u t", + "c ar", + "ab le", + "i m", + "de r", + "ch er", + "n o", + "vi e", + "au s", + "b e", + "de ux", + "en f", + "o ù", + "t en", + "p h", + "u re", + "te mp", + "p os", + "r ent", + "p é", + "f aire", + "p i", + "tr es", + "ç a", + "an g", + "end re", + "f or", + "p a", + "b on", + "s ou", + "in t", + "pr é", + "s ent", + "t ant", + "n er", + "c er", + "l à", + "l ais", + "pr ès", + "b re", + "c our", + "p et", + "i on", + "i ne", + "com p", + "l ait", + "tr ouv", + "t a", + "ent re", + "son t", + "de v", + "n u", + "temp s", + "d ou", + "r ait", + "b ou", + "qu and", + "jour s", + "l an", + "er s", + "av oir", + "ét é", + "a le", + "p re", + "f ois", + "or te", + "v é", + "m er", + "n on", + "t ous", + "j us", + "cou p", + "t s", + "hom me", + "ê te", + "a d", + "aus si", + "ur s", + "se u", + "or d", + "o b", + "m in", + "g é", + "co re", + "v a", + "v re", + "en core", + "se m", + "i te", + "au tre", + "pr is", + "peu t", + "u e", + "an te", + "m al", + "g n", + "ré p", + "h u", + "si on", + "vo tre", + "di re", + "e z", + "f em", + "leur s", + "m et", + "f in", + "c ri", + "m is", + "t our", + "r ai", + "j am", + "re gar", + "ri en", + "ver s", + "su is", + "p ouv", + "o p", + "v is", + "gr and", + "ant s", + "c or", + "re r", + "ar d", + "c é", + "t ent", + "pr es", + "v ou", + "f a", + "al ors", + "si eur", + "ai ne", + "le r", + "qu oi", + "f on", + "end ant", + "ar ri", + "eu re", + "a près", + "don c", + "it u", + "l è", + "s ait", + "t oi", + "ch a", + "ai l", + "as se", + "i mp", + "vo y", + "con n", + "p la", + "pet it", + "av ant", + "n om", + "t in", + "don t", + "d a", + "s ous", + "e mp", + "per son", + "el les", + "be au", + "par ti", + "ch o", + "pr it", + "tou jours", + "m en", + "r ais", + "jam ais", + "tr av", + "tion s", + "tr ès", + "v oi", + "r en", + "y eux", + "f er", + "v oir", + "pre mi", + "c a", + "g ne", + "h eure", + "r ou", + "e ff", + "no tre", + "ment s", + "t on", + "f ais", + "ce la", + "i er", + "rép on", + "con s", + "ai r", + "ô t", + "p endant", + "i ci", + "tou te", + "j et", + "p ort", + "ét aient", + "p en", + "h é", + "au tres", + "p ère", + "o c", + "quel ques", + "i que", + "l is", + "fem me", + "j ou", + "te ur", + "mon de", + "u se", + "n es", + "d re", + "a ff", + "r ap", + "par t", + "le ment", + "c la", + "f ut", + "quel que", + "pr endre", + "r ê", + "ai lle", + "s ais", + "ch es", + "le t", + "ch ar", + "è res", + "ent s", + "b er", + "g er", + "mo ins", + "e au", + "a î", + "j eu", + "h eur", + "é es", + "tr i", + "po int", + "m om", + "v ent", + "n ouv", + "gr an", + "tr ois", + "s ant", + "tout es", + "con tre", + "è rent", + "che z", + "ave z", + "û t", + "a lle", + "at t", + "p au", + "p orte", + "ouv er", + "b ar", + "l it", + "f ort", + "o t", + "as s", + "pr és", + "cho se", + "v it", + "mon sieur", + "h ab", + "t ête", + "j u", + "te ment", + "c tion", + "v rai", + "la r", + "c et", + "regar d", + "l ant", + "de m", + "s om", + "mom ent", + "il les", + "p le", + "p s", + "b es", + "m ère", + "c l", + "s our", + "y s", + "tr op", + "en ne", + "jus qu", + "av aient", + "av ais", + "jeu ne", + "de puis", + "person ne", + "f it", + "cer t", + "j o", + "g es", + "ou i", + "r est", + "sem b", + "c ap", + "m at", + "m u", + "lon g", + "fr an", + "f aut", + "it i", + "b li", + "che v", + "pr i", + "ent e", + "ain si", + "ch am", + "l ors", + "c as", + "d o", + "il i", + "b é", + "n os", + "an ge", + "su i", + "r it", + "cr o", + "gu e", + "d e", + "e n", + "e s", + "o s", + "l a", + "e r", + "q u", + "a r", + "a n", + "o n", + "qu e", + "a s", + "o r", + "e l", + "d o", + "a l", + "c i", + "u n", + "r e", + "a b", + "i n", + "t e", + "t o", + "s e", + "d i", + "t r", + "d a", + "c on", + "t a", + "s u", + "m i", + "c o", + "t i", + "l e", + "l os", + "n o", + "l o", + "í a", + "c u", + "c a", + "s i", + "v i", + "m e", + "p or", + "m o", + "p ar", + "r a", + "r i", + "la s", + "c h", + "r o", + "m a", + "p er", + "ó n", + "m en", + "de s", + "un a", + "m p", + "s o", + "ab a", + "p u", + "d os", + "t u", + "g u", + "er a", + "de l", + "h a", + "m u", + "l i", + "en t", + "m b", + "h ab", + "es t", + "g o", + "p a", + "r es", + "par a", + "p o", + "á s", + "m os", + "tr a", + "t en", + "an do", + "p i", + "qu i", + "b i", + "m an", + "co mo", + "v e", + "m ás", + "j o", + "ci ón", + "i s", + "t an", + "v o", + "da d", + "c e", + "a do", + "v er", + "f u", + "ci a", + "c er", + "p e", + "c as", + "c ar", + "men te", + "n i", + "su s", + "t ar", + "n a", + "f i", + "t er", + "z a", + "p ro", + "tr o", + "s a", + "l u", + "b a", + "per o", + "s er", + "c es", + "d as", + "d u", + "s in", + "e mp", + "m ar", + "l la", + "e x", + "á n", + "c or", + "i a", + "v a", + "r an", + "ch o", + "g a", + "y o", + "t os", + "c os", + "mi s", + "l es", + "t es", + "v en", + "h o", + "y a", + "en te", + "on es", + "hab ía", + "n u", + "u s", + "p as", + "h i", + "n os", + "es ta", + "la n", + "m as", + "t or", + "l le", + "h e", + "s on", + "b re", + "p re", + "ab an", + "d or", + "í an", + "i r", + "t as", + "é n", + "r u", + "en do", + "a que", + "er o", + "i o", + "qu é", + "m in", + "c ab", + "j a", + "de r", + "t al", + "é s", + "se ñ", + "or a", + "to do", + "la r", + "d on", + "g ar", + "s al", + "p r", + "cu ando", + "j e", + "h u", + "g un", + "b u", + "g i", + "d ar", + "n e", + "r as", + "de n", + "es to", + "par e", + "p en", + "é l", + "tr as", + "c an", + "b o", + "j os", + "mi en", + "pu e", + "c re", + "co mp", + "p on", + "d ía", + "tr os", + "s ab", + "so bre", + "es e", + "mb re", + "er on", + "a ñ", + "m or", + "f or", + "i do", + "por que", + "el la", + "p ri", + "g ran", + "f a", + "c en", + "di s", + "c ri", + "mu y", + "ch a", + "c al", + "es te", + "h as", + "c ó", + "g ra", + "r os", + "p os", + "o b", + "al l", + "aque l", + "j u", + "p res", + "m er", + "di jo", + "c ía", + "ent re", + "z o", + "ci ones", + "bi en", + "mb i", + "el o", + "t ó", + "in a", + "to dos", + "g en", + "ti en", + "est aba", + "de ci", + "ci o", + "h er", + "ñ o", + "l or", + "nu es", + "me di", + "l en", + "vi da", + "f e", + "al i", + "m on", + "c la", + "d re", + "pu es", + "al es", + "vo l", + "m í", + "r ar", + "b le", + "ci on", + "has ta", + "señ or", + "con o", + "a h", + "di os", + "s en", + "es a", + "ú n", + "v ar", + "s an", + "gu i", + "a c", + "o tros", + "ta do", + "bu en", + "ñ a", + "ti emp", + "ha cer", + "j er", + "f er", + "v u", + "f in", + "an a", + "as í", + "an tes", + "t in", + "ve z", + "mien to", + "j ar", + "la b", + "ch e", + "cas a", + "d r", + "es o", + "e go", + "di ó", + "an te", + "est á", + "m al", + "en cia", + "el i", + "í as", + "tiemp o", + "z ar", + "v an", + "m un", + "er ta", + "ta mbi", + "s í", + "b ar", + "a un", + "al e", + "mis mo", + "ent es", + "vi s", + "man o", + "el e", + "na da", + "se gu", + "me j", + "er ra", + "ab le", + "b e", + "ti r", + "un o", + "don de", + "to da", + "des de", + "r en", + "tambi én", + "cu er", + "per son", + "ho mbre", + "o tro", + "li b", + "tr ar", + "cu al", + "ha y", + "a u", + "ca da", + "t aba", + "i mp", + "men to", + "ten ía", + "qu er", + "er an", + "si emp", + "siemp re", + "er to", + "qu í", + "g os", + "pu és", + "el los", + "des pués", + "nu e", + "g an", + "l lo", + "in ter", + "có mo", + "tr i", + "ah ora", + "us te", + "tr aba", + "la do", + "in o", + "po co", + "er te", + "mu jer", + "i m", + "qui er", + "al gun", + "fu e", + "o jos", + "ent on", + "v os", + "es per", + "mu ch", + "o tra", + "a z", + "a d", + "in g", + "e za", + "a quí", + "ci as", + "gu a", + "mu cho", + "deci r", + "es ti", + "i dad", + "al go", + "e z", + "o cu", + "enton ces", + "di do", + "ent os", + "g ri", + "da do", + "i os", + "so l", + "dos e", + "uste d", + "qui en", + "a mi", + "un to", + "f r", + "mi r", + "mej or", + "b as", + "so lo", + "pre gun", + "tu r", + "al g", + "p la", + "to das", + "par te", + "e mb", + "c to", + "mun do", + "tien e", + "tan te", + "pa lab", + "tr an", + "aque lla", + "ci os", + "aun que", + "a y", + "cu en", + "ten er", + "f un", + "res pon", + "all í", + "x i", + "h an", + "pen s", + "con tra", + "tu ra", + "v al", + "di o", + "tr es", + "t re", + "tan to", + "ca min", + "m ó", + "es p", + "a da", + "í o", + "in s", + "ha cia", + "de j", + "est ar", + "i ón", + "g as", + "b er", + "v as", + "no che", + "é r", + "añ os", + "pa dre", + "gu s", + "á r", + "sin o", + "man os", + "ci do", + "es tu", + "a de", + "hu bi", + "vi r", + "b ri", + "ra z", + "ch i", + "pue de", + "men os", + "hab i", + "ho mb", + "ne ces", + "ma y", + "er os", + "r ía", + "he cho", + "es cu", + "l ti", + "án do", + "b us", + "cos as", + "t ú", + "es pa", + "re ci", + "c tor", + "pri m", + "di a", + "de se", + "mien tras", + "h or", + "fu er", + "i da", + "pos i", + "lan te", + "t on", + "an o", + "est as", + "p li", + "ch ar", + "lu ego", + "si ón", + "ci n", + "ti erra", + "m es", + "gu ar", + "ca do", + "en con", + "pr en", + "may or", + "f al", + "e r", + "o n", + "a n", + "t o", + "d i", + "r e", + "l a", + "i n", + "e n", + "a l", + "t a", + "c h", + "e l", + "r i", + "c o", + "t i", + "t e", + "s i", + "r a", + "u n", + "l e", + "l i", + "ch e", + "r o", + "c i", + "c a", + "s e", + "q u", + "m a", + "p o", + "s o", + "i l", + "d o", + "e s", + "v a", + "p er", + "l o", + "c on", + "d el", + "p a", + "m o", + "s a", + "p i", + "d a", + "m i", + "g i", + "s u", + "d e", + "v i", + "z i", + "m e", + "g li", + "n o", + "m en", + "v o", + "t u", + "n on", + "v e", + "t to", + "s t", + "on e", + "an o", + "ch i", + "er a", + "er e", + "f a", + "c e", + "z a", + "un a", + "b i", + "p re", + "s ta", + "o r", + "a r", + "f i", + "on o", + "t ra", + "n a", + "n el", + "n e", + "p ro", + "t ro", + "al e", + "v er", + "n i", + "c u", + "t ti", + "men te", + "del la", + "t er", + "zi one", + "g u", + "p e", + "t ta", + "an do", + "t à", + "al i", + "u o", + "qu el", + "co m", + "s en", + "co me", + "b a", + "al la", + "p ri", + "d u", + "qu es", + "l u", + "on i", + "g gi", + "pa r", + "s si", + "v en", + "in a", + "g a", + "pi ù", + "ci a", + "i m", + "co r", + "m an", + "in o", + "in i", + "t en", + "r an", + "b b", + "g o", + "s to", + "t re", + "a ve", + "a v", + "s ono", + "er i", + "a c", + "s se", + "er o", + "h a", + "s c", + "su l", + "f or", + "v ano", + "po r", + "s ti", + "su o", + "c chi", + "t an", + "z za", + "an che", + "p u", + "i o", + "t te", + "vo l", + "es s", + "s ci", + "co l", + "r u", + "p en", + "f u", + "al l", + "s so", + "s te", + "se m", + "s sa", + "d en", + "a d", + "t ri", + "de i", + "in e", + "ave va", + "men to", + "z z", + "a mo", + "g no", + "f o", + "un o", + "su a", + "g en", + "ri a", + "g e", + "st ra", + "s ì", + "c er", + "ch é", + "b u", + "a p", + "c en", + "d al", + "on a", + "s pe", + "g ni", + "b o", + "t t", + "del le", + "ques to", + "nel la", + "f f", + "d ere", + "an no", + "del l", + "un i", + "bb e", + "an ti", + "g ra", + "s p", + "en e", + "gi o", + "u to", + "qu al", + "gli a", + "qu ando", + "tu tto", + "c an", + "gli o", + "zi oni", + "ca m", + "h o", + "es so", + "s s", + "mo l", + "a t", + "lo ro", + "per ché", + "co sa", + "du e", + "po i", + "ca r", + "s co", + "ci o", + "to r", + "c co", + "c re", + "a m", + "g na", + "te m", + "pri ma", + "lu i", + "co sì", + "qu e", + "gu ar", + "ess ere", + "an i", + "con o", + "b ra", + "al le", + "m on", + "ri o", + "an co", + "cu i", + "s pi", + "vi a", + "g ran", + "gi or", + "a i", + "bi le", + "u l", + "ggi o", + "f e", + "an te", + "ma i", + "ta re", + "in ter", + "in di", + "re bbe", + "sen za", + "so lo", + "zi o", + "e d", + "en te", + "tu tti", + "sta to", + "zi a", + "d alla", + "tu ra", + "mi a", + "vi ta", + "quel la", + "qu a", + "ma r", + "do ve", + "g h", + "al lo", + "sem pre", + "zz o", + "si a", + "mo r", + "do po", + "por ta", + "d re", + "c cia", + "er ano", + "an ni", + "di o", + "chi a", + "en za", + "pro pri", + "qu i", + "m u", + "m b", + "an da", + "c ca", + "o cchi", + "ques ta", + "f fi", + "le i", + "par te", + "d on", + "r on", + "mi o", + "tan to", + "ri s", + "o gni", + "di s", + "r in", + "fa r", + "men ti", + "t el", + "anco ra", + "f ra", + "fa tto", + "man i", + "sen ti", + "p ra", + "tem po", + "es si", + "b bi", + "f in", + "a re", + "la re", + "per s", + "f on", + "b el", + "so r", + "d er", + "pre n", + "an za", + "di re", + "pi e", + "o ra", + "ver so", + "se gu", + "al tro", + "ta to", + "ca to", + "a to", + "vol ta", + "c c", + "fa re", + "pa re", + "ci ò", + "li b", + "bi li", + "n uo", + "s er", + "quel lo", + "co lo", + "p po", + "ca sa", + "tro va", + "o re", + "f er", + "r ono", + "d es", + "mol to", + "al mente", + "s ca", + "vo le", + "t ali", + "sul la", + "s ce", + "men o", + "an to", + "p un", + "s tu", + "ca pi", + "so l", + "gi u", + "m ini", + "m ano", + "z e", + "pi a", + "par ti", + "s al", + "la vo", + "ver o", + "r si", + "al tri", + "es ti", + "s cia", + "suo i", + "gli e", + "so tto", + "b ene", + "sc ri", + "t ale", + "de gli", + "n u", + "al c", + "uo mo", + "p el", + "f re", + "po te", + "es sa", + "s cu", + "si gno", + "el e", + "st ro", + "u ti", + "di a", + "si one", + "g re", + "f ini", + "ar ri", + "l un", + "c ri", + "e si", + "pa ssa", + "r à", + "men tre", + "an d", + "h anno", + "el o", + "u sci", + "gi a", + "gi à", + "di e", + "m ina", + "b e", + "ti ca", + "gior no", + "t in", + "es se", + "mo do", + "c al", + "s pa", + "propri o", + "l en", + "o ri", + "con tro", + "st ru", + "di ven", + "di sse", + "ra to", + "no i", + "v ere", + "pu ò", + "di ce", + "s an", + "es a", + "c ci", + "se con", + "re n", + "c cio", + "qual che", + "tu tta", + "g g", + "mon do", + "for ma", + "p li", + "m ma", + "pen sa", + "de va", + "tu r", + "fo sse", + "so pra", + "ta mente", + "n ess", + "qu anto", + "ra ga", + "un que", + "ca re", + "st re", + "gran de", + "pi cco", + "guar da", + "b en", + "nel l", + "a ff", + "po ssi", + "pre sen", + "r ò", + "pa ro", + "tu a", + "v in", + "an e", + "a s", + "ste sso", + "da v", + "ne i", + "nel le", + "gh i", + "pi o", + "ta r", + "an a", + "la to", + "si d", + "f ine", + "f uo", + "m er", + "z o", + "qua si", + "ul ti", + "i to", + "su e", + "si e", + "f il", + "allo ra", + "m in", + "ven i", + "t ano", + "el lo", + "d e", + "r a", + "e s", + "d o", + "e n", + "q u", + "c o", + "a s", + "o s", + "e r", + "a r", + "s e", + "qu e", + "a n", + "i n", + "i s", + "t o", + "ã o", + "t e", + "d a", + "m a", + "e l", + "t a", + "o r", + "i a", + "r e", + "e m", + "a l", + "co m", + "p a", + "o u", + "c a", + "u m", + "r o", + "v a", + "t i", + "s o", + "m en", + "n ão", + "h a", + "co n", + "m e", + "r i", + "pa ra", + "p o", + "d i", + "s a", + "v o", + "u ma", + "c i", + "n a", + "p or", + "n o", + "g u", + "s u", + "h o", + "an do", + "t ra", + "e i", + "v i", + "e u", + "i m", + "do s", + "el e", + "r es", + "m o", + "en t", + "f i", + "l a", + "e ra", + "l e", + "de s", + "el a", + "men te", + "l h", + "p er", + "l i", + "ç ão", + "m as", + "t er", + "m u", + "es t", + "v e", + "g o", + "l o", + "u s", + "ma is", + "v er", + "c ê", + "in ha", + "vo cê", + "f a", + "t u", + "c u", + "p ar", + "com o", + "p ro", + "s i", + "m os", + "e c", + "p re", + "d as", + "ç a", + "es ta", + "s er", + "u n", + "da de", + "d is", + "f o", + "e x", + "c h", + "i r", + "ra n", + "t ar", + "en te", + "g a", + "t r", + "p e", + "t os", + "b o", + "c ia", + "p en", + "c ar", + "s en", + "su a", + "se m", + "c as", + "f or", + "to u", + "n os", + "te m", + "r ia", + "m es", + "se u", + "co r", + "o n", + "a o", + "p os", + "ra m", + "v el", + "é m", + "t en", + "po de", + "t es", + "esta va", + "c e", + "b a", + "qu ando", + "m i", + "qu er", + "men to", + "se gu", + "t as", + "is so", + "mu i", + "g ar", + "t ro", + "d u", + "fa z", + "õ es", + "p es", + "an to", + "l u", + "p i", + "i x", + "ve z", + "s im", + "j a", + "p r", + "m in", + "b e", + "ra s", + "m an", + "p res", + "est á", + "c er", + "b re", + "p as", + "d ia", + "m b", + "dis se", + "n i", + "r os", + "es se", + "v ia", + "o lh", + "is a", + "an te", + "ê n", + "z a", + "qu i", + "b i", + "t inha", + "me u", + "s ão", + "m inha", + "a c", + "ri o", + "m ar", + "a t", + "p el", + "mui to", + "ta l", + "to r", + "fo i", + "h or", + "j o", + "b em", + "g i", + "f al", + "vo l", + "po n", + "di z", + "l ar", + "gu n", + "m or", + "r u", + "par ec", + "ç o", + "do r", + "pes so", + "n e", + "f er", + "b er", + "p u", + "po is", + "in a", + "es p", + "d ar", + "en do", + "de n", + "so bre", + "co s", + "p ri", + "al i", + "mes mo", + "ç ões", + "g ra", + "se us", + "me i", + "b ra", + "vi da", + "an tes", + "b ri", + "at é", + "ên cia", + "lh e", + "ti v", + "m ã", + "al g", + "qu anto", + "s ó", + "g os", + "de r", + "t ão", + "tu do", + "ent ão", + "r ou", + "es s", + "in da", + "b al", + "in do", + "ci o", + "n do", + "j á", + "va m", + "re i", + "l es", + "ei to", + "v is", + "tem po", + "de pois", + "c ha", + "m el", + "ch e", + "l ha", + "a inda", + "faz er", + "con tra", + "p ou", + "per gun", + "de ix", + "ta mb", + "ra r", + "al a", + "v en", + "t in", + "pel o", + "tamb ém", + "fi ca", + "pre c", + "el es", + "tra n", + "ha via", + "l á", + "to dos", + "j u", + "qu al", + "c an", + "ta do", + "cas a", + "es sa", + "n as", + "g em", + "m em", + "se i", + "na da", + "sen ti", + "c ri", + "ó s", + "de u", + "ei ro", + ". .", + "f un", + "as sim", + "s ou", + "ent re", + "com e", + "i or", + "h ar", + "f e", + "por que", + "s or", + "f in", + "ta mente", + "a qui", + "cu l", + "t ó", + "for ma", + "s ar", + "ou tra", + "olh os", + "i ma", + "m im", + "a go", + "in s", + "co u", + "g ran", + "v al", + "pesso as", + "era m", + "ei ra", + "a que", + "com p", + "de i", + "p ela", + "co isa", + "m ão", + "con h", + "ca da", + "ago ra", + "ia m", + "h á", + "con s", + "su as", + "gu ém", + "o b", + "l an", + "es ti", + "á s", + "la do", + "in ter", + "ca be", + "por ta", + "n em", + "í vel", + "r is", + "j e", + "n un", + "sem pre", + "con segu", + "h as", + "tra bal", + "f u", + "le v", + "l em", + "l as", + "va i", + "tr os", + "t ante", + "te i", + "pr ó", + "que m", + "tu ra", + "on de", + "cabe ça", + "nun ca", + "men tos", + "h um", + "de le", + "ver dade", + "t á", + "h os", + "el i", + "ent es", + "m er", + "alg um", + "diz er", + "s in", + "pen as", + "n ós", + "en quanto", + "ou tro", + "l ho", + "es te", + "mel hor", + "est ar", + "g an", + "b ar", + "pri mei", + "a u", + "i u", + "pen sa", + "a penas", + "p ra", + "es tou", + "con te", + "res pon", + "ho mem", + "do is", + "a do", + "c al", + "a b", + "l os", + "ç as", + "pou co", + "sen hor", + "t ando", + "esp era", + "pa i", + "ri os", + "no i", + "i da", + "ba ix", + "as e", + "is as", + "f r", + "ho ra", + "mu ndo", + "pas sa", + "fi car", + "to do", + "se ja", + "al mente", + "â n", + "c lar", + "a d", + "in c", + "f os", + "lo n", + "g ri", + "ou vi", + "v em", + "g e", + "ta va", + "á rio", + "mo n", + "s os", + "in ho", + "ma l", + "t an", + "t re", + "gran de", + "ran do", + "b u", + "v ou", + "ê s", + "co isas", + "a conte", + "lh er", + "g en", + "ci on", + "an os", + "i do", + "tal vez", + "est ão", + "li v", + "sa b", + "su r", + "ou tros", + "c re", + "qual quer", + "g ou", + "t ri", + "l í", + "tiv esse", + "ra do", + "prec isa", + "mã e", + "su s", + "t anto", + "de la", + "men os", + "s al", + "en tra", + "p é", + "ma ior", + "noi te", + "ti va", + "p ala", + "so n", + "ra ção", + "de us", + "s as", + "un i", + "l or", + "u l", + "in te", + "f ei", + "an o", + "par ti", + "pala v", + "tr ás", + "par te", + "b el", + "ci dade", + "lu gar", + "v os", + "vez es", + "do u", + "en contra", + "tr u", + "e ci", + "a r", + "e r", + "a n", + "e n", + "i n", + "i r", + "o r", + "d e", + "a k", + "ı n", + "a l", + "d i", + "d a", + "b u", + "b ir", + "y or", + "i l", + "e k", + "y a", + "m a", + "l a", + "e l", + "u n", + "k a", + "l ar", + "i m", + "d ı", + "e t", + "o n", + "d u", + "o l", + "e y", + "t ı", + "m i", + "h a", + "b a", + "l er", + "ü n", + "m ı", + "i z", + "l e", + "ı r", + "m e", + "i s", + "n e", + "o k", + "t a", + "s a", + "u m", + "r a", + "g ö", + "i k", + "s ı", + "d en", + "e s", + "b il", + "t i", + "l ı", + "ü z", + "i ç", + "ü r", + "g i", + "u r", + "t e", + "b en", + "d an", + "i y", + "ı m", + "u z", + "v e", + "c ak", + "a y", + "c e", + "i ş", + "ın ı", + "i yor", + "ba ş", + "d ü", + "a t", + "a m", + "g el", + "de ğ", + "k ar", + "i ̇", + "m u", + "e v", + "ö y", + "bu n", + "v ar", + "ya p", + "s en", + "an a", + "s un", + "in i", + "gö r", + "y ı", + "k i", + "l i", + "ar a", + "al ı", + "on u", + "ç ı", + "ş ey", + "s ın", + "k ı", + "ka d", + "s e", + "t an", + "a ğ", + "değ il", + "s in", + "ü k", + "a z", + "ç ok", + "s on", + "ş ı", + "b i", + "ü l", + "t u", + "v er", + "iç in", + "g e", + "k en", + "ey e", + "ol du", + "mı ş", + "y e", + "k al", + "m ek", + "l an", + "öy le", + "yor du", + "er i", + "y üz", + "mi ş", + "b e", + "m ak", + "o la", + "in e", + "y an", + "h er", + "c ek", + "yor um", + "b ak", + "ü m", + "ö n", + "lar ı", + "o ğ", + "d er", + "kad ar", + "h al", + "ar ı", + "s t", + "s an", + "ın da", + "du r", + "g ün", + "v a", + "y ok", + "y er", + "dı m", + "k o", + "da ha", + "l u", + "ın a", + "di m", + "e m", + "bil ir", + "ik i", + "s iz", + "s i", + "n a", + "di ğ", + "s u", + "b ü", + "ha y", + "s or", + "dü ş", + "ü ç", + "un u", + "ö r", + "d ir", + "m ü", + "c a", + "am an", + "f ak", + "a da", + "e de", + "son ra", + "h iç", + "ak i", + "ğ ı", + "bu l", + "r u", + "ma z", + "an la", + "bu ra", + "ge ç", + "ma ya", + "l en", + "k onu", + "c i", + "c u", + "d in", + "t ek", + "z aman", + "el er", + "ö z", + "dı r", + "gi bi", + "o t", + "ş a", + "g er", + "ler i", + "k im", + "k u", + "fak at", + "y ar", + "gö z", + "c ı", + "yor sun", + "b ek", + "in de", + "r o", + "p ek", + "bun u", + "l ik", + "m an", + "il er", + "e di", + "ö l", + "s ür", + "b in", + "s ır", + "çı k", + "sı l", + "al ar", + "k es", + "y ak", + "ç ek", + "yı l", + "e cek", + "ı z", + "gi t", + "ka p", + "a ma", + "ı l", + "lar ın", + "b iz", + "tı r", + "o y", + "an cak", + "d oğ", + "ç a", + "b ana", + "ş im", + "baş la", + "l ü", + "ma dı", + "ben i", + "t ir", + "y ük", + "lı k", + "be ş", + "b el", + "b er", + "m er", + "na sıl", + "tı k", + "k e", + "t ür", + "a v", + ". .", + "d aki", + "p ar", + "t er", + "ce ğ", + "t en", + "z ı", + "iy i", + "d ok", + "ben im", + "c ağ", + "n er", + "y en", + "ş u", + "me z", + "düş ün", + "ken di", + "şim di", + "y ol", + "y u", + "de v", + "is te", + "s ek", + "ma m", + "s öyle", + "di k", + "t o", + "k ur", + "oldu ğ", + "s ını", + "t ar", + "bil iyor", + "k an", + "y al", + "m eye", + "mu ş", + "f a", + "ka ç", + "bil e", + "iy e", + "t ü", + "e f", + "tı m", + "ev et", + "ç o", + "y et", + "g en", + "bura da", + "t im", + "bir az", + "es i", + "k or", + "doğ ru", + "in in", + "kı z", + "di ye", + "d ör", + "et ti", + "on un", + "is ti", + "ğ i", + "h e", + "s ana", + "ü ş", + "ar ka", + "hay ır", + "kar şı", + "h ar", + "il e", + "h ak", + "ı yor", + "ne den", + "s ev", + "sı z", + "ço cu", + "me m", + "ç alı", + "ol ur", + "b ır", + "g ir", + "is e", + "i h", + "c an", + "k ır", + "d ön", + "b öyle", + "sen i", + "! \"", + "al t", + "dör t", + "s öy", + "o ş", + "mu sun", + "la ş", + "h an", + "i p", + "ka y", + "h em", + "bü yük", + "a ç", + "bır ak", + "mi sin", + "s öz", + "u l", + "değ iş", + "ün ü", + "g ül", + "k ö", + "kar ı", + "ta mam", + "ol u", + "r ar", + "yen i", + "la m", + "mış tı", + "ya ş", + "al a", + "in iz", + "kad ın", + "bun un", + "m ey", + "al tı", + "y i", + "s o", + "in den", + "sen in", + "ya t", + "to p", + "s er", + "is i", + "d ün", + "s es", + "hiç bir", + "y on", + "d ın", + "t ün", + "baş ka", + "a s", + "he p", + "i t", + "ir mi", + "dev am", + "ola cak", + "ar tık", + "r e", + "dur um", + "im iz", + "üz el", + "ler ini", + "sa ğ", + "p ro", + "ger ek", + "y irmi", + "ş ek", + "ba ğ", + "me di", + "lar a", + "a h", + "t ur", + "y ür", + "ma sı", + "ka tı", + "de di", + "g ü", + "sor un", + "el i", + "ün e", + "mı z", + "yap ı", + "m il", + "ğ ını", + "t ara", + "m en", + "ha t", + "var dı", + "m et", + "konu ş", + "ar ak", + "lar ak", + "çocu k", + "bü tün", + "l ey", + "d ür", + "g üzel", + "ay ı", + "yap a", + "n ı", + "ay r", + "ö ne", + "yordu m", + "b an", + "i̇ ş", + "du m", + "un a", + "on a", + "yor lar", + "lar ını", + "çı kar", + "z an", + "se ç", + "l iyor", + "t ak", + "şı k", + "tek rar", + "a ş", + "e ş", + "miş ti", + "f ar", + "k in", + "im i", + "i f", + "e ğ", + "gi di", + "le ş", + "başla dı", + "gi de", + "ot ur", + "d de", + "ın dan", + "üz er", + "ın ın", + "n ız", + "u y", + "ye di", + "ka t", + "o larak", + "la dı", + "yal nız", + "ba h", + "iy et", + "m al", + "s ak", + "a çık", + "sın da", + ".. .", + "in san", + "ay nı", + "e der", + "is tan", + "uz un", + "sa h", + "d o", + "g eri", + "er ek", + "ol an", + "ger çek", + "f en", + "al an", + "dı ş", + "alı k", + "far k", + "ü st", + "sa de", + "r i", + "k iş", + "l dı", + "z or", + "et ir", + "her kes", + "s al", + "ö mer", + "s el", + "un da", + "ha f", + "bun a", + "y dı", + "pek i", + "ada m", + "ha z", + "sın a", + "kap ı", + "gör üş", + "sade ce", + "al dı", + "gel di", + "i e", + "n ie", + "n a", + "r z", + "s z", + "c z", + "p o", + "s t", + "c h", + "i ę", + "d z", + "n i", + "a ł", + "r a", + "j e", + "r o", + "d o", + "s ię", + "z a", + "g o", + "e m", + "w i", + "c i", + "rz e", + "k o", + "l e", + "l i", + "w a", + "t o", + "k a", + "m i", + "ż e", + "t a", + "w ie", + "b y", + "m o", + "w y", + "rz y", + "ł a", + "j a", + "n o", + "ł o", + "w o", + "p a", + "m a", + "t e", + "t y", + "n y", + "k i", + "d a", + "n e", + "dz ie", + "dz i", + "cz y", + "c ie", + "m y", + "p rze", + "d y", + "o d", + "l a", + "k ie", + "r y", + "st a", + "j ą", + "ó w", + "c e", + "p rzy", + "c o", + "k u", + "m ie", + "sz y", + "cz e", + "r e", + "b a", + "s i", + "b ie", + "m u", + "w e", + "c y", + "ni a", + "ś ci", + "sz e", + "je st", + "k t", + "s a", + "b o", + "t u", + "ż y", + "n ą", + "b i", + "r u", + "a le", + "kt ó", + "p ra", + "ał a", + "m nie", + "p ie", + "ł y", + "cz a", + "ja k", + "ro z", + "r ó", + "l u", + "z na", + "g a", + "ra z", + "ł u", + "ta k", + "j u", + "p i", + "ś ć", + "s o", + "wi a", + "m ó", + "ch o", + "w szy", + "p e", + "s po", + "c a", + "g dy", + "w ał", + "w ię", + "d e", + "b e", + "p ro", + "ł em", + "j ę", + "s k", + "z e", + "l o", + "g i", + "r ę", + "do b", + "d u", + "ju ż", + "st o", + "b ę", + "ał em", + "sz a", + "m e", + "po d", + "d la", + "pa n", + "n ę", + "z o", + "mo że", + "ś li", + "s ie", + "ał o", + "t em", + "l ko", + "ny ch", + "po wie", + "c ię", + "s u", + "ty lko", + "i n", + "b u", + "na j", + "ch a", + "te go", + "p u", + "s ki", + "ne go", + "wszy st", + "sz cze", + "je d", + "je j", + "t wo", + "ą d", + "ś my", + "cz ę", + "wa ć", + "je go", + "ż a", + "i m", + "s y", + "pra w", + "ty m", + "któ ry", + "ał y", + "t rze", + "nie j", + "s e", + "ny m", + "i ch", + "o b", + ". .", + "g ło", + "ją c", + "mó wi", + "s ka", + "o n", + "ne j", + "s łu", + "w ła", + "bę dzie", + "d ę", + "p ó", + "be z", + "ni c", + "p ła", + "ś cie", + "mi a", + "s ą", + "t rzy", + "kie m", + "by ł", + "mo g", + "ro bi", + "ta m", + "c u", + "te n", + "m ię", + "z y", + "pe w", + "ci a", + "my ś", + "prze d", + "s ko", + "n u", + "któ re", + "a l", + "l ę", + "w sze", + "ą c", + "by ło", + "so bie", + "p y", + "ci ą", + "ba r", + "je szcze", + "h a", + "t ę", + "b ra", + "cza s", + "sz ę", + "g ł", + "k ę", + "ma r", + "cz u", + "prze z", + "f i", + "s ło", + "w z", + "k to", + "k ów", + "cz o", + "li śmy", + "st ra", + "wię c", + "r ą", + "ma m", + "w ó", + "rz a", + "g ro", + "no ści", + "f a", + "we t", + "ną ł", + "ś mie", + "na wet", + "mu si", + "s wo", + "te j", + "w ą", + "w u", + "wi ą", + "ni u", + "cz ą", + "b li", + "dz o", + "s kie", + "n em", + "je śli", + "cze go", + "ch y", + "d ł", + "ty ch", + "by m", + "ż o", + "e ś", + "si ą", + "kie dy", + "na s", + "w ró", + "dz e", + "d ro", + "t ra", + "r ów", + "pa ni", + "z ie", + "ku l", + "na d", + "ch wi", + "ni m", + "t ro", + "by ć", + "cho dzi", + "ni o", + "dob rze", + "te raz", + "wo kul", + "co ś", + "k ł", + "pie r", + "h e", + "g dzie", + "dz y", + "p ię", + "d ź", + "k ą", + "g ó", + "z da", + "ch ce", + "st ę", + "o r", + "ś wia", + "wszyst ko", + "st ro", + "pe ł", + "wie m", + "wie l", + "ka ż", + "ki m", + "rz u", + "s ły", + "jed na", + "z u", + "myś l", + "mó j", + "g u", + "wa r", + "jest em", + "ó ż", + "mie j", + "mo ż", + "k ła", + "re sz", + "d łu", + "st wo", + "n ię", + "ma sz", + "że by", + "nie m", + "ja kie", + "st y", + "ni ą", + "we j", + "o j", + "g ra", + "s ła", + "no ść", + "z ło", + "sz czę", + ".. .", + "r i", + "le j", + "we go", + "c ał", + "dzi ał", + "ki ch", + "dz a", + "dz ię", + "o czy", + "zo sta", + "cz ło", + "na m", + "ki l", + "o na", + "sz u", + "w ę", + "pa r", + "mi ał", + "st rze", + "ce j", + "e j", + "zna j", + "da ć", + "miej s", + "k ró", + "k ry", + "bar dzo", + "si a", + "z i", + "ś nie", + "l ą", + "g ie", + "cie bie", + "d ni", + "st u", + "po trze", + "wokul ski", + "u wa", + "u mie", + "jedna k", + "k ra", + "wró ci", + "czło wie", + "czy ć", + "by ła", + "że li", + "m ę", + "c ę", + "z robi", + "mog ę", + "pro wa", + "r em", + "nie ch", + "cz nie", + "k ro", + "t ą", + "ch ci", + "b ro", + "dzie ć", + "sz ą", + "pa d", + "t rz", + "t ru", + "je m", + "a ni", + "t ów", + "a r", + "d ru", + "ta j", + "rze kł", + "sa m", + "st e", + "nie go", + "ta kie", + "w ała", + "to wa", + "ka pła", + "wi dzi", + "po dob", + "dz ę", + "t ał", + "stę p", + "b ą", + "po ko", + "w em", + "g ę", + "a by", + "g e", + "al bo", + "s pra", + "z no", + "de n", + "s mo", + "je sz", + "k się", + "jest eś", + "po z", + "ni gdy", + "k sią", + "c óż", + "w s", + "po w", + "t ka", + "ś wie", + "sz ka", + "sa mo", + "s ł", + "rz ę", + "na le", + "chce sz", + "ni k", + "p ę", + "chy ba", + "cią g", + "ją cy", + "wo j", + "na sze", + "mnie j", + "wię cej", + "z wy", + "o sta", + "f e", + "wa ż", + "h o", + "se r", + "śmie r", + "wie r", + "dz ą", + "za ś", + "gdy by", + "ja ki", + "wo l", + "wi n", + "d ą", + "ści a", + "roz ma", + "wa l", + "pa nie", + "sta r", + "ka z", + "je żeli", + "d em", + "w ra", + "ko ń", + "sie bie", + "zno wu", + "p ró", + "cz em", + "st wa", + "i sto", + "pó ł", + "d ał", + "ko bie", + "ała m", + "wy ch", + "ce sa", + "ni ch", + "za wsze", + "dzi ć", + "te ż", + "le pie", + "pro szę", + "k re", + "t wa", + "o t", + "ł ą", + "ch u", + "c ą", + "p rz", + "ł e", + "sze dł", + "od powie", + "my śli", + "ś wią", + "e n", + "e r", + "d e", + "a n", + "e t", + "i j", + "i n", + "e l", + "a a", + "s t", + "o r", + "g e", + "i s", + "a t", + "i e", + "c h", + "o n", + "e en", + "h et", + "i t", + "v er", + "aa r", + "a l", + "o or", + "g en", + "v an", + "o p", + "d en", + "h e", + "o m", + "t e", + "w e", + "i k", + "r e", + "z e", + "ij n", + "d at", + "b e", + "d er", + "in g", + "o e", + "ij k", + "a an", + "ch t", + "v oor", + "l e", + "i et", + "r o", + "m o", + "k en", + "z ijn", + "m en", + "i g", + "j e", + "n iet", + "a r", + "o o", + "i d", + "u n", + "i l", + "s ch", + "mo et", + "st e", + "u r", + "o l", + "he b", + "u it", + "g el", + "w ij", + "a s", + "m e", + "t en", + "w or", + "o u", + "v en", + "l en", + "aa t", + "d it", + "m et", + "r a", + "b en", + "s p", + "o ver", + "d ie", + "n o", + "w er", + "l ijk", + "f t", + "s l", + "an d", + "v e", + "t er", + "i er", + "i en", + "t o", + "d aar", + "g r", + "b el", + "de ze", + "d u", + "a g", + "k an", + "wor den", + "in gen", + "moet en", + "n en", + "on der", + "heb ben", + "r u", + "oo k", + "s en", + "c t", + "k t", + "no g", + "aa l", + "w as", + "u l", + "e er", + "b ij", + "m ijn", + "p ro", + "v ol", + "d o", + "k om", + "at ie", + "e ft", + "k el", + "al s", + "r ij", + "he id", + "a f", + "st el", + "m aar", + "a p", + "we e", + "a d", + "he eft", + "w aar", + "i cht", + "d an", + "er en", + "n e", + "w el", + "w at", + "w il", + "a cht", + "aa g", + "ge b", + "c on", + "z o", + "k e", + "b et", + "h ij", + "d ig", + "k un", + "u w", + "d t", + "d oor", + "t ij", + "a m", + "an g", + "on d", + "er s", + "is ch", + "ge en", + "i ge", + "ge v", + "ve el", + "n u", + "m a", + "on s", + "o f", + "b l", + "n aar", + "g ro", + "p l", + "an der", + "at en", + "kun nen", + "e cht", + "h ier", + "g oe", + "an t", + "u s", + "t wee", + "on t", + "de lijk", + "el e", + "u ur", + "al le", + "t oe", + "me er", + "i st", + "n a", + "n ie", + "on ze", + "l o", + "i m", + "p en", + "h ad", + "tij d", + "h oe", + "to t", + "z ou", + "a k", + "aa k", + "a men", + "d r", + "w oor", + "s e", + "wor dt", + "o t", + "gel ijk", + "g aan", + "i c", + "g er", + "k er", + "el d", + "e m", + "h ou", + "de l", + "z en", + "z el", + "te gen", + "b o", + "kom en", + "c om", + "i gen", + "e it", + "wer k", + "goe d", + "z al", + "z ij", + "sl ag", + "e s", + "z ien", + "a st", + "echt er", + "it ie", + "t ie", + "el ijk", + "m is", + "isch e", + "bel an", + "h aar", + "i ch", + "b er", + "h an", + "v r", + "al e", + "c i", + "gr ijk", + "in d", + "do en", + "l and", + "belan grijk", + "p un", + "op en", + "ct ie", + "zel f", + "m ij", + "it eit", + "ste m", + "me e", + "ar en", + "al l", + "b r", + "re cht", + "d ien", + "h u", + "g aat", + "pro b", + "m oe", + "p er", + "a u", + "ul len", + "z ich", + "daar om", + "or m", + "k l", + "v o", + "en t", + "st aat", + "z it", + "du i", + "n at", + "du s", + "d s", + "ver slag", + "kel ijk", + "prob le", + "w et", + "ge m", + "c r", + "i on", + "p r", + "sch ap", + "g d", + "h un", + "z a", + "er d", + "z et", + "st aan", + "st r", + "m aal", + "in der", + "e id", + "st en", + "p ar", + "k ken", + "ge d", + "z ullen", + "re s", + "men sen", + "j aar", + "re gel", + "ie der", + "vol gen", + "ge ven", + "e ven", + "l u", + "bl ij", + "i ë", + "k o", + "u we", + "m an", + "ma ken", + "l ie", + "g a", + "oe k", + "nie uwe", + "b aar", + "h o", + "h er", + "in ter", + "ander e", + "ru ik", + "s u", + "a gen", + "or t", + "m er", + "ou w", + "st er", + "wil len", + "aa kt", + "h oo", + "an den", + "f f", + "l ig", + "t re", + "s amen", + "ze er", + "dui delijk", + "ant woor", + "he el", + "men t", + "pun t", + "hou den", + "we g", + "vr aag", + "gel e", + "een s", + "be sch", + "om en", + "er g", + "do el", + "d ag", + "sp e", + "ur en", + "ing s", + "or en", + "l ang", + "de len", + "m ar", + "ste un", + "in nen", + "p ol", + "o on", + "i de", + "s n", + "s ie", + "r icht", + "z onder", + "no dig", + "all een", + "m id", + "ra gen", + "iet s", + "ver sch", + "geb ruik", + "st u", + "ro uw", + "stel len", + "be g", + "men ten", + "v in", + "eer ste", + "l aat", + "gro ot", + "oo d", + "to ch", + "l aten", + "aar d", + "s le", + "de el", + "st and", + "pl aat", + "re e", + "bet re", + "d i", + "l id", + "uit en", + "ra cht", + "bel eid", + "g et", + "ar t", + "st ie", + "st aten", + "g gen", + "re ken", + "e in", + "al en", + "m ing", + "mo gelijk", + "gro te", + "al tijd", + "z or", + "en kel", + "w ik", + "pol itie", + "e igen", + "el k", + "han del", + "g t", + "k we", + "m aat", + "el en", + "i p", + "v rij", + "s om", + "je s", + "aa m", + "hu is", + "v al", + "we er", + "lid staten", + "k ing", + "k le", + "be d", + "gev al", + "stel l", + "a i", + "wik kel", + "kwe stie", + "t al", + "ste e", + "a b", + "h el", + "kom st", + "p as", + "s s", + "it u", + "i den", + "eer d", + "m in", + "c e", + "p o", + "twee de", + "proble em", + "w aren", + "us sen", + "sn el", + "t ig", + "ge w", + "j u", + "ul t", + "ne men", + "com mis", + "versch il", + "k on", + "z oek", + "k rij", + "gr aag", + "den k", + "l anden", + "re den", + "be sl", + "oe g", + "bet er", + "he den", + "m ag", + "p e", + "bo ven", + "a c", + "con t", + "f d", + "h ele", + "k r", + "v ier", + "w in", + "ge z", + "k w", + "m il", + "v or", + "he m", + "ra m", + "aa s", + "ont wikkel", + "dr ie", + "v aak", + "plaat s", + "l a", + "g ang", + "ij f", + "f in", + "nat uur", + "t ussen", + "u g", + "in e", + "d a", + "b at", + "kom t", + "w acht", + "aa d", + "u t", + "é n", + "acht er", + "geb ie", + "ver k", + "lig t", + "c es", + "nie uw", + "van d", + "s t", + "n í", + "j e", + "p o", + "c h", + "r o", + "n a", + "s e", + "t o", + "n e", + "l e", + "k o", + "l a", + "d o", + "r a", + "n o", + "t e", + "h o", + "n ě", + "v a", + "l i", + "l o", + "ř e", + "c e", + "d e", + "v e", + "b y", + "n i", + "s k", + "t a", + "n á", + "z a", + "p ro", + "v o", + "v ě", + "m e", + "v á", + "s o", + "k a", + "r á", + "v y", + "z e", + "m i", + "p a", + "t i", + "st a", + "m ě", + "n é", + "ř i", + "ř í", + "m o", + "ž e", + "m a", + "j í", + "v ý", + "j i", + "d ě", + "r e", + "d a", + "k u", + "j a", + "c i", + "r u", + "č e", + "o b", + "t ě", + "m u", + "k y", + "d i", + "š e", + "k é", + "š í", + "t u", + "v i", + "p ře", + "v í", + "s i", + "n ý", + "o d", + "so u", + "v é", + "n y", + "r i", + "d y", + "b u", + "b o", + "t y", + "l á", + "l u", + "n u", + "ž i", + "m á", + "st i", + "c í", + "z á", + "p ra", + "sk é", + "m í", + "c o", + "d u", + "d á", + "by l", + "st o", + "s a", + "t í", + "je d", + "p ří", + "p ři", + "t é", + "s í", + "č i", + "v ní", + "č a", + "d í", + "z i", + "st u", + "p e", + "b a", + "d ní", + "ro z", + "va l", + "l í", + "s po", + "k á", + "b e", + "p i", + "no u", + "ta k", + "st e", + "r y", + "l é", + "vě t", + "se m", + "p ě", + "ko n", + "ne j", + "l y", + "ko u", + "ý ch", + "b ě", + "p r", + "f i", + "p rá", + "a le", + "ja ko", + "po d", + "ž í", + "z í", + "j sou", + "j sem", + "ch o", + "l ní", + "c ké", + "t á", + "m y", + "a k", + "h u", + "va t", + "pře d", + "h la", + "k e", + "st á", + "č í", + "š i", + "s le", + "k la", + "š tě", + "lo u", + "m ů", + "z na", + "ch á", + "o r", + "p ů", + "h a", + "b i", + "ta ké", + "d ů", + "no st", + "t ře", + "te r", + "p u", + "i n", + "v r", + "ve l", + "sk u", + "v še", + "t ní", + "do b", + "by la", + "č ní", + "ja k", + "v u", + "je ho", + "b ý", + "vá ní", + "ný ch", + "po u", + "te n", + "t ři", + "v z", + "st ře", + "d va", + "h le", + "č á", + "no sti", + "c k", + "v š", + "vo u", + "s u", + "h e", + "h ra", + "je n", + "s y", + "da l", + "po z", + "s lo", + "te l", + "d ru", + "de n", + "vš ak", + "g i", + "k dy", + "by lo", + "bu de", + "st ra", + "j ší", + "m é", + "me n", + "vý ch", + "ní m", + "s m", + "ko li", + "r ů", + "t ra", + "mů že", + "ne ní", + "ho d", + "b í", + "do u", + "sk a", + "t ý", + "st ě", + "u je", + "s á", + "pě t", + "ne s", + "k rá", + "to m", + "st ví", + "v ně", + "se d", + "s vé", + "p í", + "z o", + "mu sí", + "u ž", + "tí m", + "jí cí", + "jed no", + "t r", + "ča s", + "e v", + "č ty", + "sk ý", + "ni c", + "ev ro", + "to ho", + "h y", + "k ter", + "r ní", + "st í", + "s vě", + "pa k", + "vše ch", + "k ů", + "n g", + "á d", + "chá zí", + "a ni", + "a r", + "jed na", + "bý t", + "t ro", + "k ra", + "pr vní", + "m no", + "ské ho", + "p á", + "p la", + "le m", + "ne bo", + "ke m", + "st ro", + "s la", + "né ho", + "z de", + "dal ší", + "ř a", + "čty ři", + "h rá", + "dru h", + "l ně", + "v la", + "sk ých", + "š ko", + "pů so", + "pro to", + "v ů", + "sk á", + "ve n", + "še st", + "d ně", + "je ště", + "me zi", + "te k", + "s ko", + "ch a", + "ně koli", + "be z", + "g ra", + "ji ž", + "č ně", + "j á", + "s lu", + "z ná", + "ve r", + "sed m", + "k ro", + "ta m", + "a no", + "v lá", + "o sm", + "byl y", + "vá m", + "ck ý", + "te ch", + "dě ji", + "vel mi", + "le ži", + "va la", + "l ý", + "t vo", + "spo le", + "ch u", + "stu p", + "mo ž", + "evro p", + "g e", + "sta l", + "j de", + "ch y", + "ro di", + "je jí", + "po li", + "de vět", + "s me", + "a ž", + "té to", + "re m", + "d é", + "f or", + "u ni", + "f o", + "ten to", + "a u", + "ka ž", + "nu la", + "na d", + "by ch", + "mo c", + "sto u", + "e x", + "le n", + "k do", + "z d", + "pra co", + "to mu", + "ný m", + "ži vo", + "ze m", + "f e", + "f u", + "ná sle", + "j o", + "sk y", + "ji ch", + "h á", + "mě l", + "dě la", + "j sme", + "p re", + "ni ce", + "ste j", + "ne m", + "st ní", + "he m", + "ná ro", + "z u", + "b li", + "ni t", + "pa r", + "a l", + "poz ději", + "ta ko", + "n ce", + "če r", + "ší m", + "ně co", + "vá l", + "ře j", + "krá t", + "á lní", + "u r", + ". .", + "a si", + "kter é", + "sta v", + "ma jí", + "my s", + "do bě", + "s ně", + "ce n", + "z y", + "z ku", + "t ů", + "ch od", + "s pě", + "je jich", + "sou čas", + "d r", + "va li", + "ri e", + "k te", + "pr ů", + "ze ní", + "pa t", + "a n", + "po tře", + "de m", + "d nes", + "ze mí", + "sa mo", + "zna m", + "b ra", + "má m", + "te dy", + "g o", + "hla vní", + "pou ží", + "b ní", + "ve de", + "le p", + "je k", + "pra v", + "poli ti", + "d ne", + "je m", + "le t", + "če ní", + "pro b", + "ne ž", + "dě l", + "fi l", + "č o", + "cí ch", + "st é", + "d lou", + "h i", + "a by", + "to u", + "několi k", + "d la", + "vy u", + "vi t", + "ho u", + "ck ých", + "no vé", + "či n", + "st y", + "dě lá", + "k ý", + "ob la", + "pod le", + "ra n", + "dů leži", + "ta to", + "po ku", + "ko ne", + "d ý", + "d vě", + "ž ád", + "nou t", + "t ku", + "t vr", + "cké ho", + "ro v", + "r é", + "te le", + "p sa", + "s vět", + "ti vní", + "do sta", + "te m", + "še l", + "druh é", + "s kou", + "ž o", + "jed ná", + "vý znam", + "prob lé", + "pu bli", + "vá n", + "od po", + "pod po", + "d le", + "ja ké", + "še ní", + "ví m", + "bě hem", + "na chází", + "s lou", + "pou ze", + "o tá", + "p lo", + "to vé", + "vět ši", + "ko mi", + "va jí", + "ty to", + "zá pa", + "z mě", + "mo h", + "ví ce", + "spole č", + "au to", + "pro ti", + "st ru", + "dě t", + "chá ze", + "že l", + "с т", + "е н", + "н о", + "н а", + "п р", + "т о", + "п о", + "р а", + "г о", + "к о", + "н е", + "в о", + "в а", + "е т", + "е р", + "н и", + "е л", + "и т", + "н ы", + "з а", + "р о", + "ен и", + "к а", + "л и", + "е м", + "д а", + "о б", + "л а", + "д о", + "с я", + "т ь", + "о т", + "л о", + "л ь", + "е д", + "с о", + "м и", + "р е", + "м о", + "ц и", + "пр о", + "т а", + "э то", + "к и", + "р у", + "пр и", + "т и", + "с е", + "ст а", + "в ы", + "м ы", + "в и", + "б ы", + "м а", + "е с", + "л я", + "ст и", + "л е", + "ч то", + "м е", + "р и", + "ч а", + "о д", + "е й", + "ел ь", + "ени я", + "г а", + "н у", + "с и", + "п а", + "ра з", + "б о", + "ст о", + "с у", + "с а", + "д у", + "е го", + "е ст", + "и н", + "ит ь", + "и з", + "ж е", + "м у", + "п ер", + "по д", + "ени е", + "с ь", + "к у", + "пр ед", + "но го", + "ны х", + "в ер", + "т е", + "но й", + "ци и", + "д е", + "р ы", + "д ел", + "л ю", + "в е", + "о н", + "м ен", + "г и", + "н я", + "б у", + "пр а", + "в се", + "ет ся", + "ст ь", + "ж а", + "до л", + "ж и", + "б е", + "ко н", + "с л", + "ш и", + "д и", + "ст в", + "с ко", + "ны е", + "ч и", + "ю т", + "д ер", + "ст ра", + "т ы", + "х од", + "щ и", + "з о", + "з на", + "но сти", + "ч ес", + "в ля", + "ва ть", + "о р", + "по л", + "в ет", + "та к", + "ш а", + "т у", + "с во", + "пр е", + "о на", + "ит ель", + "ны й", + "с ло", + "ка к", + "в л", + "но сть", + "х о", + "мо ж", + "п е", + "д ля", + "ни я", + "но е", + "ра с", + "дол ж", + "да р", + "т ель", + "с ка", + "п у", + "ст во", + "ко то", + "ра б", + "е е", + "ро д", + "э ти", + "с об", + "о ру", + "ж ен", + "ны м", + "ит и", + "ни е", + "ко м", + "д ет", + "ст у", + "г у", + "п и", + "ме ж", + "ени ю", + "т ер", + "раб от", + "во з", + "ци я", + "ко й", + "щ ест", + "г ра", + "з и", + "р я", + "меж ду", + "ст ва", + "в с", + "ел о", + "ш е", + "м ер", + "б а", + "з ы", + "л у", + "а ль", + "д ей", + "г ла", + "на род", + "к ти", + "пред ста", + "л ся", + "я вля", + "с ки", + "но в", + "ед ин", + "ро в", + "и с", + "ни ма", + "р ем", + "ход и", + "так же", + "д ру", + "а ть", + "сл ед", + "го во", + "на я", + "ю щи", + "ен ь", + "кото ры", + "х от", + "в у", + "и х", + "ем у", + "ч ит", + "ва ж", + "ор га", + "чес ки", + "щ е", + "к е", + "х а", + "по с", + "то м", + "бо ль", + "м не", + "па с", + "об ъ", + "пра в", + "кон ф", + "сл у", + "под дер", + "ст ви", + "на ш", + "ль ко", + "сто я", + "ну ю", + "л ем", + "ен ных", + "к ра", + "д ы", + "между народ", + "г да", + "не об", + "го су", + "ств у", + "ени и", + "госу дар", + "к то", + "и м", + "ч ест", + "р ет", + "во про", + "л ен", + "ел и", + "ро ва", + "ци й", + "на м", + "это й", + "ж ения", + "необ ходи", + "мен я", + "бы ло", + "си ли", + "ф и", + "в я", + "ш ь", + "это го", + "о ни", + "орга ни", + "бе зо", + "пр об", + "и ме", + "ре ш", + "б и", + "безо пас", + "ют ся", + "о ста", + "ен но", + "го д", + "ел а", + "предста в", + "ть ся", + "сло во", + "органи за", + "долж ны", + "это м", + "б ла", + "ч е", + "ч у", + "бла го", + "это му", + "в рем", + "с пе", + "но м", + "ени й", + "с по", + "на с", + "не т", + "з у", + "в ед", + "е ще", + "ска за", + "се й", + "ер ен", + "да н", + "са м", + "ел я", + "ра н", + "зы ва", + "явля ется", + "бу дет", + "кти в", + "т ре", + "дел е", + "м от", + "конф ерен", + "ла сь", + "ча с", + "сто ро", + "ко го", + "е з", + "не й", + "о с", + "ли сь", + "раз ору", + "пер е", + "с си", + "ны ми", + "про ц", + "го ло", + "ч ело", + "бо ле", + "чело ве", + "с ер", + "п л", + "ч ет", + "стра н", + "п я", + "бы л", + "к ла", + "то в", + "ж д", + "дел а", + "е ра", + "у же", + "со вет", + "г ен", + "безопас ности", + "ц а", + "се да", + "по з", + "от вет", + "проб лем", + "на ко", + "т ем", + "до ста", + "п ы", + "щ а", + "во й", + "су щест", + "необходи мо", + "бы ть", + "мож ет", + "д ем", + "что бы", + "е к", + "ч ер", + "у сили", + "ре с", + "ру д", + "един енных", + "д об", + "до сти", + "ств ен", + "я дер", + "год ня", + "ка за", + "се годня", + "сей час", + "то лько", + "во д", + "ес ь", + "м ного", + "бу ду", + "е в", + "ест ь", + "т ри", + "об щест", + ". .", + "я вл", + "вы сту", + "р ед", + "с чит", + "с ит", + "деле га", + "ло ж", + "это т", + "ф ор", + "к лю", + "воз мож", + "ва ния", + "б ли", + "и ли", + "в з", + "на ций", + "ско го", + "при ня", + "п ла", + "о ч", + "ить ся", + "ст е", + "на ши", + "которы е", + "а р", + "име ет", + "с от", + "зна ч", + "пер ь", + "след у", + "ен ы", + "та ки", + "объ единенных", + "ст ро", + "те перь", + "б ле", + "благо дар", + "раз в", + "а н", + "жи ва", + "оч ень", + "я т", + "бе з", + "об ес", + "г ро", + "ло сь", + "с ы", + "организа ции", + "ч лен", + "то го", + "она ль", + "ж да", + "все х", + "с вя", + "боле е", + "со в", + "ко гда", + "во т", + "к ре", + "к ры", + "по этому", + "во ль", + "о й", + "ген ера", + "ч ем", + "л ы", + "пол ити", + "в ен", + "конферен ции", + "проц ес", + "б я", + "ит е", + "от но", + "разв ити", + "а ф", + "ю щ", + "в но", + "ми р", + "ни и", + "ка я", + "а с", + "итель но", + "в то", + "ени ем", + "генера ль", + "пр от", + "вс ем", + "сам бле", + "ас самбле", + "о м", + "з д", + "с мот", + "ре ги", + "ч его", + "од нако", + "усили я", + "дей стви", + "ч но", + "у ча", + "об раз", + "во с", + "э та", + "пер его", + "гово р", + "ва м", + "мо ло", + "врем я", + "д ь", + "хот ел", + "г ру", + "за явл", + "пре доста", + "по ль", + "не е", + "ре зо", + "перего во", + "резо лю", + "к рет", + "поддер ж", + "обес пе", + "не го", + "представ ит", + "на де", + "к ри", + "ч ь", + "про ек", + "л ет", + "дру ги", + "ا ل", + "َ ا", + "و َ", + "ّ َ", + "ِ ي", + "أ َ", + "ل َ", + "ن َ", + "ال ْ", + "ه ُ", + "ُ و", + "م ا", + "ن ْ", + "م ن", + "ع َ", + "ن ا", + "ل ا", + "م َ", + "ت َ", + "ف َ", + "أ ن", + "ل ي", + "م ِ", + "ا ن", + "ف ي", + "ر َ", + "ي َ", + "ه ِ", + "م ْ", + "ق َ", + "ب ِ", + "ل ى", + "ي ن", + "إ ِ", + "ل ِ", + "و ا", + "ك َ", + "ه ا", + "ً ا", + "م ُ", + "و ن", + "ال م", + "ب َ", + "ي ا", + "ذ ا", + "س ا", + "ال ل", + "م ي", + "ي ْ", + "ر ا", + "ر ي", + "ل ك", + "م َا", + "ن َّ", + "ل م", + "إ ن", + "س ت", + "و م", + "ّ َا", + "ل َا", + "ه م", + "ّ ِ", + "ك ُ", + "ك ان", + "س َ", + "ب ا", + "د ي", + "ح َ", + "ع ْ", + "ب ي", + "ال أ", + "و ل", + "ف ِي", + "ر ِ", + "د ا", + "مِ نْ", + "ُو نَ", + "و ْ", + "ه َا", + "ّ ُ", + "ال س", + "ال َ", + "ن ي", + "ل ْ", + "ت ُ", + "ه ل", + "ر ة", + "د َ", + "س ْ", + "ت ِ", + "ن َا", + "ر ْ", + "الل َّ", + "سا مي", + "ك ن", + "ك ل", + "ه َ", + "عَ لَ", + "ع لى", + "م ع", + "إ لى", + "ق د", + "ال ر", + "ُو ا", + "ي ر", + "ع ن", + "ي ُ", + "ن ِ", + "ب ْ", + "ال ح", + "هُ مْ", + "ق ا", + "ذ ه", + "ال ت", + "ِي نَ", + "ج َ", + "ه ذا", + "ع د", + "ال ع", + "د ْ", + "قَ الَ", + "ر ُ", + "ي م", + "ي ة", + "ن ُ", + "خ َ", + "ر ب", + "ال ك", + "و َا", + "أ نا", + "ة ِ", + "ال ن", + "ح د", + "ع ِ", + "ت ا", + "ه و", + "ف ا", + "ع ا", + "ال ش", + "ل ُ", + "ي ت", + "ذ َا", + "ي ع", + "ال ذ", + "ح ْ", + "ال ص", + "إِ نَّ", + "ج ا", + "ع لي", + "ك َا", + "ب ُ", + "ت ع", + "و ق", + "م ل", + "ل َّ", + "ي د", + "أ خ", + "ر ف", + "ت ي", + "ال ِ", + "ّ ا", + "ذ لك", + "أَ نْ", + "س ِ", + "ت وم", + "م ر", + "مَ نْ", + "ب ل", + "ال ق", + "الل ه", + "ِي َ", + "ك م", + "ذ َ", + "ع ل", + "ح ب", + "س ي", + "ع ُ", + "ال ج", + "ال د", + "ش َ", + "ت ك", + "ف ْ", + "ص َ", + "ل ل", + "د ِ", + "ب ر", + "ف ِ", + "ت ه", + "أ ع", + "ت ْ", + "ق ْ", + "الْ أَ", + "ئ ِ", + "عَ نْ", + "و ر", + "ح ا", + "ال َّ", + "م ت", + "ف ر", + "د ُ", + "ه نا", + "وَ أَ", + "ت ب", + "ة ُ", + "أ ي", + "س ب", + "ري د", + "و ج", + "كُ مْ", + "ح ِ", + "ك ْ", + "د ر", + "َا ء", + "ه ذه", + "ال ط", + "الْ مُ", + "د ة", + "ق ل", + "غ َ", + "ي وم", + "الَّ ذ", + "ك ر", + "ت ر", + "ك ِ", + "ك ي", + "عَلَ ى", + "رَ ب", + "ع ة", + "ق ُ", + "ج ْ", + "ف ض", + "ل ة", + "ه ْ", + "ر َا", + "وَ لَ", + "الْ مَ", + "أَ نَّ", + "ي َا", + "أ ُ", + "ش ي", + "اللَّ هُ", + "لَ ى", + "ق ِ", + "أ ت", + "عَلَ يْ", + "اللَّ هِ", + "ال ب", + "ض َ", + "ة ً", + "ق ي", + "ا ر", + "ب د", + "خ ْ", + "سْ تَ", + "ط َ", + "قَ دْ", + "ذه ب", + "أ م", + "ما ذا", + "وَ إِ", + "ة ٌ", + "و نَ", + "لي لى", + "و لا", + "ح ُ", + "ه ي", + "ص ل", + "ال خ", + "و د", + "لي س", + "ل دي", + "ق ال", + "كَا نَ", + "م َّ", + "ح ي", + "ت م", + "ل ن", + "وَ لَا", + "ب ع", + "يم كن", + "س ُ", + "ة َ", + "ح ت", + "ر ًا", + "ك ا", + "ش ا", + "هِ مْ", + "لَ هُ", + "ز َ", + "دا ً", + "م س", + "ك ث", + "الْ عَ", + "ج ِ", + "ص ْ", + "ف َا", + "ل ه", + "و ي", + "ع َا", + "هُ وَ", + "ب ِي", + "ب َا", + "أ س", + "ث َ", + "ل ِي", + "ر ض", + "الر َّ", + "لِ كَ", + "ت َّ", + "ف ُ", + "ق ة", + "ف عل", + "مِ ن", + "ال آ", + "ث ُ", + "س م", + "م َّا", + "بِ هِ", + "ت ق", + "خ ر", + "ل قد", + "خ ل", + "ش ر", + "أن ت", + "ل َّا", + "س ن", + "الس َّ", + "الذ ي", + "س َا", + "و ما", + "ز ل", + "و ب", + "أ ْ", + "إ ذا", + "ر ِي", + "ح ة", + "ن ِي", + "الْ حَ", + "وَ قَالَ", + "ب ه", + "ة ٍ", + "س أ", + "ر ٌ", + "ب ال", + "م ة", + "ش ْ", + "و ت", + "عن د", + "ف س", + "بَ عْ", + "ه ر", + "ق ط", + "أ ح", + "إن ه", + "و ع", + "ف ت", + "غ ا", + "هنا ك", + "ب ت", + "مِ نَ", + "س ر", + "ذَ لِكَ", + "ر س", + "حد ث", + "غ ْ", + "ّ ِي", + "ال إ", + "وَ يَ", + "ج ل", + "ا ست", + "ق ِي", + "ع ب", + "و س", + "ي ش", + "الَّذ ِينَ", + "تا ب", + "د ِي", + "ج ب", + "ك ون", + "ب ن", + "ال ث", + "لَ يْ", + "ب عد", + "وَ الْ", + "فَ أَ", + "ع م", + "هُ م", + "ت ن", + "ذ ْ", + "أ ص", + "أ ين", + "رَب ِّ", + "الذ ين", + "إِ ن", + "ب ين", + "ج ُ", + "عَلَيْ هِ", + "ح َا", + "ل و", + "ست ط", + "ظ ر", + "لَ مْ", + "ء ِ", + "كُ ل", + "ط ل", + "ت َا", + "ض ُ", + "كن ت", + "ل ًا", + "م ٌ", + "ق بل", + "ـ ـ", + "ذ ِ", + "قَ وْ", + "ص ِ", + "م ًا", + "كان ت", + "ص ا", + "ي ق", + "ال ف", + "ال نا", + "م ٍ", + "إِ نْ", + "ال نَّ", + "ج د", + "وَ مَا", + "ت ت", + "ب ح", + "م كان", + "كي ف", + "ّ ة", + "ال ا", + "ج َا", + "أ و", + "سا عد", + "ض ِ", + "إ لا", + "را ً", + "ق َا", + "ر أ", + "ع ت", + "أ حد", + "ه د", + "ض ا", + "ط ر", + "أ ق", + "ما ء", + "د َّ", + "ال با", + "م ُو", + "أَ وْ", + "ط ا", + "ق ُو", + "خ ِ", + "ت ل", + "ستط يع", + "د َا", + "الن َّا", + "إ لَى", + "وَ تَ", + "هَ ذَا", + "ب ة", + "علي ك", + "ج ر", + "ال من", + "ز ا", + "ر ٍ", + "د ع", + "ّ ًا", + "س ة", + "ثُ مَّ", + "شي ء", + "ال غ", + "ت ح", + "ر ُونَ", + "ال يوم", + "م ِي", + "ن ُوا", + "أ ر", + "تُ مْ", + "ع ر", + "ي ف", + "أ ب", + "د ًا", + "ص َا", + "الت َّ", + "أ ريد", + "ال ز", + "يَ وْ", + "إ لي", + "ج ي", + "يَ عْ", + "فض ل", + "ال إن", + "أن ه", + "n g", + "i 4", + "a n", + "s h", + "z h", + "i 2", + "ng 1", + "u 4", + "i 1", + "ng 2", + "d e", + "j i", + "a o", + "x i", + "u 3", + "de 5", + "e 4", + "i 3", + "ng 4", + "an 4", + "e n", + "u o", + "sh i4", + "an 2", + "u 2", + "c h", + "u 1", + "ng 3", + "a 1", + "an 1", + "e 2", + "a 4", + "e i4", + "o ng1", + "a i4", + "ao 4", + "h u", + "a ng1", + "l i", + "y o", + "an 3", + "w ei4", + "uo 2", + "n 1", + "en 2", + "ao 3", + "e 1", + "y u", + "q i", + "e ng2", + "zh o", + "a ng3", + "a ng4", + "a ng2", + "uo 4", + "m i", + "g e4", + "y i1", + "g uo2", + "e r", + "b i", + "a 3", + "h e2", + "e 3", + "y i2", + "d i4", + "zh ong1", + "b u4", + "g u", + "a i2", + "n 2", + "z ai4", + "sh i2", + "e ng1", + "r en2", + "o ng2", + "xi an4", + "y i", + "x u", + "n 4", + "l i4", + "en 4", + "y u2", + "e i2", + "yi2 ge4", + "o u4", + "e i3", + "d i", + "u i4", + "a 2", + "yo u3", + "ao 1", + "d a4", + "ch eng2", + "en 1", + "e ng4", + "y i4", + "s i1", + "zh i4", + "ji a1", + "yu an2", + "n i", + "t a1", + "de5 yi2ge4", + "k e1", + "sh u3", + "x i1", + "j i2", + "ao 2", + "t i", + "o u3", + "o ng4", + "xi a4", + "a i1", + "g ong1", + "zh i1", + "en 3", + "w ei2", + "j u", + "xu e2", + "q u1", + "zho u1", + "er 3", + "mi ng2", + "zho ng3", + "l i3", + "w u4", + "y i3", + "uo 1", + "e 5", + "j i4", + "xi ng2", + "ji an4", + "hu a4", + "y u3", + "uo 3", + "j i1", + "a i3", + "z uo4", + "h ou4", + "hu i4", + "e i1", + "ni an2", + "q i2", + "p i", + "d ao4", + "sh eng1", + "de 2", + "d ai4", + "u an2", + "zh e4", + "zh eng4", + "b en3", + "sh ang4", + "zh u3", + "b ei4", + "y e4", + "ch u1", + "zh an4", + "l e5", + "l ai2", + "sh i3", + "n an2", + "r en4", + "yo u2", + "k e4", + "b a1", + "f u4", + "d ui4", + "y a4", + "m ei3", + "z i4", + "xi n1", + "ji ng1", + "zh u", + "n 3", + "yo ng4", + "m u4", + "ji ao4", + "y e3", + "ji n4", + "bi an4", + "l u4", + "q i1", + "sh e4", + "xi ang1", + "o ng3", + "sh u4", + "d ong4", + "s uo3", + "gu an1", + "s an1", + "b o", + "t e4", + "d uo1", + "f u2", + "mi n2", + "l a1", + "zh i2", + "zh en4", + "o u1", + "w u3", + "m a3", + "i 5", + "z i5", + "j u4", + "er 4", + "y ao4", + "xia4 de5yi2ge4", + "s i4", + "t u2", + "sh an1", + "z ui4", + "ch u", + "yi n1", + "er 2", + "t ong2", + "d ong1", + "y u4", + "y an2", + "qi an2", + "shu3 xia4de5yi2ge4", + "ju n1", + "k e3", + "w en2", + "f a3", + "l uo2", + "zh u4", + "x i4", + "k ou3", + "b ei3", + "ji an1", + "f a1", + "di an4", + "ji ang1", + "wei4 yu2", + "xi ang4", + "zh i3", + "e ng3", + "f ang1", + "l an2", + "sh u", + "r i4", + "li an2", + "sh ou3", + "m o", + "qi u2", + "ji n1", + "h uo4", + "shu3xia4de5yi2ge4 zhong3", + "f en1", + "n ei4", + "g ai1", + "mei3 guo2", + "u n2", + "g e2", + "b ao3", + "qi ng1", + "g ao1", + "t ai2", + "d u", + "xi ao3", + "ji e2", + "ti an1", + "ch ang2", + "q uan2", + "li e4", + "h ai3", + "f ei1", + "t i3", + "ju e2", + "o u2", + "c i3", + "z u2", + "n i2", + "bi ao3", + "zhong1 guo2", + "d u4", + "yu e4", + "xi ng4", + "sh eng4", + "ch e1", + "d an1", + "ji e1", + "li n2", + "pi ng2", + "f u3", + "g u3", + "ji e4", + "w o", + "v 3", + "sh eng3", + "n a4", + "yu an4", + "zh ang3", + "gu an3", + "d ao3", + "z u3", + "di ng4", + "di an3", + "c eng2", + "ren2 kou3", + "t ai4", + "t ong1", + "g uo4", + "n eng2", + "ch ang3", + "hu a2", + "li u2", + "yi ng1", + "xi ao4", + "c i4", + "bian4 hua4", + "li ang3", + "g ong4", + "zho ng4", + "de5 yi1", + "s e4", + "k ai1", + "w ang2", + "ji u4", + "sh i1", + "sh ou4", + "m ei2", + "k u", + "s u", + "f eng1", + "z e2", + "tu2 shi4", + "t i2", + "q i4", + "ji u3", + "sh en1", + "zh e3", + "ren2kou3 bian4hua4", + "ren2kou3bian4hua4 tu2shi4", + "di4 qu1", + "y ang2", + "m en", + "men 5", + "l ong2", + "bi ng4", + "ch an3", + "zh u1", + "w ei3", + "w ai4", + "xi ng1", + "bo 1", + "b i3", + "t ang2", + "hu a1", + "bo 2", + "shu i3", + "sh u1", + "d ou1", + "s ai4", + "ch ao2", + "b i4", + "li ng2", + "l ei4", + "da4 xue2", + "f en4", + "shu3 de5", + "m u3", + "ji ao1", + "d ang1", + "ch eng1", + "t ong3", + "n v3", + "q i3", + "y an3", + "mi an4", + "l uo4", + "ji ng4", + "g e1", + "r u4", + "d an4", + "ri4 ben3", + "p u3", + "yu n4", + "hu ang2", + "wo 3", + "l v", + "h ai2", + "shi4 yi1", + "xi e1", + "yi ng3", + "w u2", + "sh en2", + "w ang3", + "gu ang3", + "li u4", + "s u4", + "shi4 zhen4", + "c an1", + "c ao3", + "xi a2", + "k a3", + "d a2", + "h u4", + "b an4", + "d ang3", + "h u2", + "z ong3", + "de ng3", + "de5yi2ge4 shi4zhen4", + "ch uan2", + "mo 4", + "zh ang1", + "b an1", + "mo 2", + "ch a2", + "c e4", + "zhu3 yao4", + "t ou2", + "j u2", + "shi4 wei4yu2", + "s a4", + "u n1", + "ke3 yi3", + "d u1", + "h an4", + "li ang4", + "sh a1", + "ji a3", + "z i1", + "lv 4", + "f u1", + "xi an1", + "x u4", + "gu ang1", + "m eng2", + "b ao4", + "yo u4", + "r ong2", + "zhi1 yi1", + "w ei1", + "m ao2", + "guo2 jia1", + "c ong2", + "g ou4", + "ti e3", + "zh en1", + "d u2", + "bi an1", + "c i2", + "q u3", + "f an4", + "xi ang3", + "m en2", + "j u1", + "h ong2", + "z i3", + "ta1 men5", + "ji 3", + "z ong1", + "zhou1 de5yi2ge4shi4zhen4", + "t uan2", + "ji ng3", + "gong1 si1", + "xi e4", + "l i2", + "li4 shi3", + "b ao1", + "g ang3", + "gu i1", + "zh eng1", + "zhi2 wu4", + "ta1 de5", + "pi n3", + "zhu an1", + "ch ong2", + "shi3 yong4", + "w a3", + "sh uo1", + "chu an1", + "l ei2", + "w an1", + "h uo2", + "q u", + "s u1", + "z ao3", + "g ai3", + "q u4", + "g u4", + "l u", + "x i2", + "h ang2", + "yi ng4", + "c un1", + "g en1", + "yi ng2", + "ti ng2", + "cheng2 shi4", + "ji ang3", + "li ng3", + "l un2", + "bu4 fen4", + "de ng1", + "xu an3", + "dong4 wu4", + "de2 guo2", + "xi an3", + "f an3", + "zh e5", + "h an2", + "h ao4", + "m i4", + "r an2", + "qi n1", + "ti ao2", + "zh an3", + "h i", + "k a", + "n o", + "t e", + "s u", + "s hi", + "t a", + "t o", + "n a", + "w a", + "o u", + "r u", + "n i", + "k u", + "k i", + "g a", + "d e", + "k o", + "m a", + "r e", + "r a", + "m o", + "t su", + "w o", + "e n", + "r i", + "s a", + "d a", + "s e", + "j i", + "h a", + "c hi", + "k e", + "te ki", + "m i", + "y ou", + "s h", + "s o", + "y o", + "y a", + "na i", + "t te", + "a ru", + "b a", + "u u", + "t ta", + "ka i", + "ka n", + "shi te", + "m e", + "d o", + "mo no", + "se i", + "r o", + "ko to", + "ka ra", + "shi ta", + "b u", + "m u", + "c h", + "su ru", + "k ou", + "g o", + "ma su", + "ta i", + "f u", + "k en", + "i u", + "g en", + "wa re", + "shi n", + "z u", + "a i", + "o n", + "o ku", + "g i", + "d ou", + "n e", + "y uu", + "i ru", + "i te", + "ji ko", + "de su", + "j u", + "ra re", + "sh u", + "b e", + "sh ou", + "s ha", + "se kai", + "s ou", + "k you", + "ma shita", + "s en", + "na ra", + "sa n", + "ke i", + "i ta", + "a ri", + "i tsu", + "ko no", + "j ou", + "na ka", + "ch ou", + "so re", + "g u", + "na ru", + "ga ku", + "re ba", + "g e", + "h o", + "i n", + "hi to", + "sa i", + "na n", + "da i", + "tsu ku", + "shi ki", + "sa re", + "na ku", + "p p", + "bu n", + "ju n", + "so no", + "ka ku", + "z ai", + "b i", + "to u", + "wa ta", + "sh uu", + "i i", + "te i", + "ka re", + "y u", + "shi i", + "ma de", + "sh o", + "a n", + "ke reba", + "shi ka", + "i chi", + "ha n", + "de ki", + "ni n", + "ware ware", + "na kereba", + "o ite", + "h ou", + "ya ku", + "ra i", + "mu jun", + "l e", + "yo ku", + "bu tsu", + "o o", + "ko n", + "o mo", + "ga e", + "nara nai", + "ta chi", + "z en", + "ch uu", + "kan gae", + "ta ra", + "to ki", + "ko ro", + "mujun teki", + "z e", + "na ga", + "ji n", + "shi ma", + "te n", + "i ki", + "i ku", + "no u", + "i masu", + "r ou", + "h on", + "ka e", + "t to", + "ko re", + "ta n", + "ki ta", + "i s", + "da tta", + "ji tsu", + "ma e", + "i e", + "me i", + "da n", + "h e", + "to ku", + "dou itsu", + "ri tsu", + "k yuu", + "h you", + "rare ta", + "kei sei", + "k kan", + "rare ru", + "m ou", + "do ko", + "r you", + "da ke", + "naka tta", + "so ko", + "ta be", + "e r", + "ha na", + "c o", + "fu ku", + "p a", + "so n", + "ya su", + "ch o", + "wata ku", + "ya ma", + "z a", + "k yo", + "gen zai", + "b oku", + "a ta", + "j a", + "ka wa", + "ma sen", + "j uu", + "ro n", + "b o", + "na tte", + "wataku shi", + "yo tte", + "ma i", + "g ou", + "ha i", + "mo n", + "ba n", + "ji shin", + "c a", + "re te", + "n en", + "o ka", + "ka gaku", + "na tta", + "p o", + "ka ru", + "na ri", + "m en", + "ma ta", + "e i", + "ku ru", + "ga i", + "ka ri", + "sha kai", + "kou i", + "yo ri", + "se tsu", + "j o", + "re ru", + "to koro", + "ju tsu", + "i on", + "sa ku", + "tta i", + "c ha", + "nin gen", + "n u", + "c e", + "ta me", + "kan kyou", + "de n", + "o oku", + "i ma", + "wata shi", + "tsuku ru", + "su gi", + "b en", + "ji bun", + "shi tsu", + "ke ru", + "ki n", + "ki shi", + "shika shi", + "mo to", + "ma ri", + "i tte", + "de shita", + "n de", + "ari masu", + "te r", + "z ou", + "ko e", + "ze ttai", + "kkan teki", + "h en", + "re kishi", + "deki ru", + "tsu ka", + "l a", + "i tta", + "o i", + "ko butsu", + "mi ru", + "sh oku", + "shi masu", + "gi jutsu", + "g you", + "jou shiki", + "a tta", + "ho do", + "ko ko", + "tsuku rareta", + "z oku", + "hi tei", + "ko ku", + "rekishi teki", + "ke te", + "o ri", + "i mi", + "ka ko", + "naga ra", + "ka karu", + "shu tai", + "ha ji", + "ma n", + "ta ku", + "ra n", + "douitsu teki", + "z o", + "me te", + "re i", + "tsu u", + "sare te", + "gen jitsu", + "p e", + "s t", + "ba i", + "na wa", + "ji kan", + "wa ru", + "r t", + "a tsu", + "so ku", + "koui teki", + "a ra", + "u ma", + "a no", + "i de", + "ka ta", + "te tsu", + "ga wa", + "ke do", + "re ta", + "mi n", + "sa you", + "tte ru", + "to ri", + "p u", + "ki mi", + "b ou", + "mu ra", + "sare ru", + "ma chi", + "k ya", + "o sa", + "kon na", + "a ku", + "a l", + "sare ta", + "i pp", + "shi ku", + "u chi", + "hito tsu", + "ha tara", + "tachi ba", + "shi ro", + "ka tachi", + "to mo", + "e te", + "me ru", + "ni chi", + "da re", + "ka tta", + "e ru", + "su ki", + "a ge", + "oo ki", + "ma ru", + "mo ku", + "o ko", + "kangae rareru", + "o to", + "tan ni", + "ta da", + "tai teki", + "mo tte", + "ki nou", + "shi nai", + "k ki", + "u e", + "ta ri", + "l i", + "ra nai", + "k kou", + "mi rai", + "pp on", + "go to", + "hi n", + "hi tsu", + "te ru", + "mo chi", + "ka tsu", + "re n", + "n yuu", + "su i", + "zu ka", + "tsu ite", + "no mi", + "su gu", + "ku da", + "tetsu gaku", + "i ka", + "ron ri", + "o ki", + "ni ppon", + "p er", + "shi mashita", + "chi shiki", + "cho kkanteki", + "su ko", + "t ion", + "ku u", + "a na", + "a rou", + "ka tte", + "ku ri", + "i nai", + "hyou gen", + "i shiki", + "do ku", + "a tte", + "a tara", + "to n", + "wa ri", + "ka o", + "sei san", + "hana shi", + "s i", + "ka ke", + "na ji", + "su nawa", + "sunawa chi", + "u go", + "su u", + "ba ra", + "le v", + "hi ro", + "i wa", + "be tsu", + "yo i", + "se ru", + "shite ru", + "rare te", + "to shi", + "se ki", + "tai ritsu", + "wa kara", + "to kyo", + "k ka", + "k yoku", + "u n", + "i ro", + "mi te", + "sa ki", + "kan ji", + "mi ta", + "su be", + "r yoku", + "ma tta", + "kuda sai", + "omo i", + "ta no", + "ware ru", + "co m", + "hitsu you", + "ka shi", + "re nai", + "kan kei", + "a to", + "ga tte", + "o chi", + "mo tsu", + "in g", + "son zai", + "l l", + "o re", + "tai shite", + "a me", + "sei mei", + "ka no", + "gi ri", + "kangae ru", + "yu e", + "a sa", + "o naji", + "yo ru", + "ni ku", + "osa ka", + "suko shi", + "c k", + "ta ma", + "kano jo", + "ki te", + "mon dai", + "a mari", + "e ki", + "ko jin", + "ha ya", + "i t", + "de te", + "atara shii", + "a wa", + "ga kkou", + "tsu zu", + "shu kan", + "i mashita", + "mi na", + "ata e", + "da rou", + "hatara ku", + "ga ta", + "da chi", + "ma tsu", + "ari masen", + "sei butsu", + "mi tsu", + "he ya", + "yasu i", + "d i", + "de ni", + "no ko", + "ha ha", + "do mo", + "ka mi", + "su deni", + "na o", + "ra ku", + "i ke", + "a ki", + "me ta", + "l o", + "ko domo", + "so shite", + "ga me", + "ba kari", + "to te", + "ha tsu", + "mi se", + "moku teki", + "da kara", + "s z", + "e l", + "g y", + "e n", + "t t", + "e m", + "a n", + "a k", + "e r", + "a z", + "a l", + "e t", + "o l", + "e g", + "e k", + "m i", + "o n", + "é s", + "c s", + "a t", + "á r", + "h o", + "e z", + "á l", + "i s", + "á n", + "o r", + "a r", + "e gy", + "e s", + "é r", + "á t", + "o tt", + "e tt", + "m eg", + "t a", + "o k", + "o s", + "ho gy", + "n em", + "é g", + "n y", + "k i", + "é l", + "h a", + "á s", + "ü l", + "i n", + "mi n", + "n a", + "e d", + "o m", + "i k", + "k ö", + "m a", + "n i", + "v a", + "v ol", + "é t", + "b b", + "f el", + "i g", + "l e", + "r a", + "é n", + "t e", + "d e", + "a d", + "ó l", + "b e", + "on d", + "j a", + "r e", + "u l", + "b en", + "n ek", + "u t", + "vol t", + "b an", + "ö r", + "o g", + "a p", + "o d", + "á g", + "n k", + "é k", + "v al", + "k or", + "a m", + "i l", + "í t", + "á k", + "b a", + "u d", + "sz er", + "min d", + "o z", + "é p", + "el l", + "ér t", + "m ond", + "i t", + "sz t", + "n ak", + "a mi", + "n e", + "ő l", + "cs ak", + "n é", + "ma g", + "ol y", + "m er", + "ál l", + "án y", + "ö n", + "ö l", + "min t", + "m ár", + "ö tt", + "na gy", + "é sz", + "az t", + "el ő", + "t ud", + "o t", + "é ny", + "á z", + "m ég", + "kö z", + "el y", + "s ég", + "en t", + "s em", + "ta m", + "h et", + "h al", + "f i", + "a s", + "v an", + "ho z", + "v e", + "u k", + "k ez", + "á m", + "v el", + "b er", + "a j", + "u nk", + "i z", + "va gy", + "m os", + "sz em", + "em ber", + "f og", + "mer t", + "ü k", + "l en", + "ö s", + "e j", + "t al", + "h at", + "t ak", + "h i", + "m ás", + "s ág", + "ett e", + "l eg", + "ü nk", + "h át", + "sz a", + "on y", + "ez t", + "mind en", + "en d", + "ül t", + "h an", + "j ó", + "k is", + "á j", + "in t", + "ú gy", + "i d", + "mos t", + "ar t", + "í r", + "k er", + "i tt", + "a tt", + "el t", + "mond ta", + "k ell", + "l á", + "ak i", + "ál t", + "ér d", + "t ö", + "l an", + "v ár", + "h ol", + "t el", + "l át", + "ő k", + "v et", + "s e", + "ut án", + "k ét", + "na p", + "í v", + "ál y", + "v ég", + "ö k", + "i r", + "d ul", + "v is", + "né z", + "t er", + "á ban", + "k ül", + "ak kor", + "k ap", + "sz él", + "y en", + "ú j", + "i m", + "oly an", + "es en", + "k ed", + "h ely", + "t ör", + "b ól", + "el m", + "r á", + "ár a", + "r ó", + "l ó", + "vol na", + "t an", + "le het", + "e bb", + "t en", + "t ek", + "s ok", + "k al", + "f or", + "u g", + "ol t", + "k a", + "ek et", + "b or", + "f ej", + "g ond", + "a g", + "ak ar", + "f él", + "ú l", + "b el", + "ott a", + "mi t", + "val ami", + "j el", + "é d", + "ar c", + "u r", + "hal l", + "t i", + "f öl", + "á ba", + "ol g", + "ki r", + "ol d", + "m ar", + "k érd", + "j ár", + "ú r", + "sz e", + "z s", + "él et", + "j át", + "o v", + "u s", + "é z", + "v il", + "v er", + "ő r", + "á d", + "ö g", + "le sz", + "on t", + "b iz", + "k oz", + "á bb", + "kir ály", + "es t", + "a b", + "en g", + "ig az", + "b ar", + "ha j", + "d i", + "o b", + "k od", + "r ól", + "v ez", + "tö bb", + "sz ó", + "é ben", + "ö t", + "ny i", + "t á", + "sz ól", + "gond ol", + "eg ész", + "í gy", + "ő s", + "o bb", + "os an", + "b ől", + "a bb", + "c i", + "ő t", + "n ál", + "k ép", + "azt án", + "v i", + "t art", + "be szél", + "m en", + "elő tt", + "a szt", + "ma j", + "kö r", + "han g", + "í z", + "in cs", + "a i", + "é v", + "ó d", + "ó k", + "hoz z", + "t em", + "ok at", + "an y", + "nagy on", + "h áz", + "p er", + "p ed", + "ez te", + "et len", + "nek i", + "maj d", + "sz ony", + "án ak", + "fel é", + "egy szer", + "j e", + "ad t", + "gy er", + "ami kor", + "f oly", + "sz ak", + "ő d", + "h ú", + "á sz", + "am ely", + "h ar", + "ér e", + "il yen", + "od a", + "j ák", + "t ár", + "á val", + "l ak", + "t ó", + "m ent", + "gy an", + "él y", + "ú t", + "v ar", + "kez d", + "m ell", + "mi kor", + "h ez", + "val ó", + "k o", + "m es", + "szer et", + "r end", + "l et", + "vis sza", + "ig en", + "f ő", + "va s", + "as szony", + "r ől", + "ped ig", + "p i", + "sz ép", + "t ák", + "ö v", + "an i", + "vil ág", + "p en", + "mag a", + "t et", + "sz ik", + "é j", + "én t", + "j ött", + "s an", + "sz í", + "i de", + "g at", + "ett em", + "ul t", + "h ány", + "ás t", + "a hol", + "ők et", + "h ár", + "k el", + "n ő", + "cs i", + "tal ál", + "el te", + "lá tt", + "tör t", + "ha gy", + "e sz", + "s en", + "n él", + "p ar", + "v ál", + "k ut", + "l ány", + "ami t", + "s ő", + "ell en", + "mag át", + "in k", + "u gyan", + "kül ön", + "a sz", + "mind ig", + "l ép", + "tal án", + "u n", + "sz or", + "k e", + "il lan", + "n incs", + "z et", + "vagy ok", + "tel en", + "is mer", + "s or", + "is ten", + "ít ott", + "j obb", + "v es", + "dul t", + "j uk", + "sz en", + "r o", + "ö m", + "l ett", + "k ar", + "egy ik", + "b ár", + "sz i", + "sz ív", + "az on", + "e szt", + "föl d", + "kut y", + "p illan", + "f ér", + "k om", + "t ől", + "t ű", + "é be", + "t ött", + "bar át", + "í g", + "a hogy", + "e h", + "e p", + "s o", + "v en", + "jel ent", + "t at", + "sz eg", + "mint ha", + "f al", + "egy en", + "mi l", + "sza b", + "r i", + "é m", + "biz ony", + "j on", + "ör eg", + "d olg", + "cs ap", + "ti szt", + "áll t", + "an cs", + "id ő", + "k at", + "ü gy", + "mi ért", + "ó t", + "ü r", + "cs in", + "h az", + "b et", + "én ek", + "v ér", + "j ól", + "al att", + "m ely", + "l o", + "sem mi", + "ny ug", + "v ág", + "kö vet", + "ös sze", + "ma d", + "l i", + "a cs", + "fi ú", + "kö n", + "más ik", + "j ön", + "sz ám", + "g er", + "s ó", + "r ész", + "k ér", + "z el", + "é vel", + "e o", + "e u", + "a n", + "eu l", + "eu n", + "eo n", + "a e", + "d a", + "a l", + "s s", + "i n", + "i l", + "a g", + "an g", + "y eon", + "y eo", + "d o", + "c h", + "n g", + "j i", + "h an", + "g a", + "g o", + "u i", + "h ae", + "a m", + "u l", + "u n", + "g eo", + "s i", + "n eun", + "ss da", + "s eo", + "eon g", + "y o", + "i da", + "t t", + "k k", + "j eo", + "d eul", + "w a", + "eu m", + "g e", + "o n", + "o g", + "s al", + "m an", + "yeon g", + "geo s", + "h ag", + "an eun", + "j a", + "g i", + "s u", + "i ss", + "o l", + "d ae", + "eo b", + "h a", + "j u", + "eo l", + "g eu", + "j eong", + "s ae", + "do e", + "g eul", + "s eu", + "s in", + "eul o", + "b n", + "s ang", + "bn ida", + "h al", + "b o", + "han eun", + "m al", + "i m", + "m o", + "b u", + "jeo g", + "sae ng", + "in eun", + "an h", + "m a", + "sal am", + "j o", + "s a", + "eo m", + "n ae", + "w i", + "l o", + "g wa", + "yeo l", + "n a", + "e seo", + "y e", + "m yeon", + "tt ae", + "h w", + "j e", + "eob s", + "j ang", + "g u", + "g w", + "il eul", + "yeo g", + "j eon", + "si g", + "j ag", + "j in", + "y u", + "o e", + "s e", + "hag o", + "d eun", + "y a", + "m un", + "s eong", + "g ag", + "h am", + "d ang", + "b a", + "l eul", + "s il", + "do ng", + "kk a", + "b al", + "da l", + "han da", + "eo ssda", + "ae g", + "l i", + "ha ji", + "s eon", + "o ng", + "hae ssda", + "d e", + "i ssda", + "e ge", + "b un", + "m ul", + "ju ng", + "ji g", + "m u", + "iss neun", + "b i", + "g eun", + "seu bnida", + "w on", + "p p", + "d aneun", + "eo h", + "d eo", + "ga m", + "j al", + "hae ng", + "ag o", + "y ang", + "b ul", + "b ang", + "u m", + "s o", + "h i", + "j ae", + "si m", + "saeng gag", + "hag e", + "s og", + "eo ss", + "d an", + "ja sin", + "j il", + "eo g", + "g yeong", + "doe n", + "go ng", + "m i", + "ch i", + "d eu", + "d eon", + "hae ss", + "d u", + "n am", + "eun g", + "jo h", + "n al", + "m yeong", + "w o", + "eon a", + "i go", + "g yeol", + "y ag", + "gw an", + "ul i", + "yo ng", + "n o", + "l yeo", + "j og", + "eoh ge", + "ga t", + "b og", + "mo s", + "t ong", + "ch a", + "man h", + "jeo l", + "geo l", + "h oe", + "ag a", + "n aneun", + "g an", + "un eun", + "ch eol", + "ch e", + "do l", + "b on", + "b an", + "ba d", + "ch u", + "ham yeon", + "yeo ssda", + "i bnida", + "g ye", + "eo s", + "hw al", + "salam deul", + "ji man", + "dang sin", + "ji b", + "ttae mun", + "m ae", + "i b", + "e neun", + "eu g", + "jeo m", + "geul eon", + "h wa", + "a ssda", + "b eob", + "bu t", + "b ae", + "yeo ss", + "ch in", + "ch aeg", + "g eon", + "g ae", + "nae ga", + "i ga", + "m og", + "sig an", + "g il", + "h yeon", + "l yeog", + "gu g", + "p yeon", + "s an", + "w ae", + "j ul", + "s eul", + "deun g", + "haji man", + "eum yeon", + "p il", + "m ol", + "n eu", + "a ss", + "n yeon", + "t ae", + "h u", + "p yo", + "s ul", + "g ang", + "j ineun", + "b eon", + "ha da", + "seo l", + "si p", + "dal eun", + "a p", + "sal m", + "g yo", + "ch eon", + "hag i", + "in a", + "cheol eom", + "g al", + "il a", + "kka ji", + "anh neun", + "ha bnida", + "tt eon", + "n u", + "hae seo", + "doen da", + "s ol", + "tt al", + "l a", + "il o", + "seu b", + "b yeon", + "m yeo", + "b eol", + "s on", + "n un", + "j un", + "j am", + "j eung", + "tt o", + "e n", + "mo m", + "h o", + "ch im", + "hw ang", + "eun eun", + "jo ng", + "bo da", + "n ol", + "n eom", + "but eo", + "jig eum", + "eobs da", + "dae lo", + "i g", + "y ul", + "p yeong", + "seon eun", + "sal ang", + "seu t", + "h im", + "n an", + "h eom", + "h yang", + "p i", + "gw ang", + "eobs neun", + "hw ag", + "ge ss", + "jag i", + "il eon", + "wi hae", + "dae han", + "ga ji", + "m eog", + "j yeo", + "cha j", + "b yeong", + "eo d", + "g yeo", + "do n", + "eo ji", + "g ul", + "mo deun", + "j on", + "in saeng", + "geul ae", + "h ang", + "sa sil", + "si b", + "ch al", + "il ago", + "doe l", + "g eum", + "doe neun", + "b ol", + "ga jang", + "geul igo", + "e l", + "h yeong", + "haeng bog", + "ch ul", + "h on", + "ch ae", + "s am", + "m ang", + "in da", + "da m", + "w ol", + "ch oe", + "d ul", + "si jag", + "ch eong", + "il aneun", + "ul ineun", + "ae n", + "kk e", + "mun je", + "a do", + "t eu", + "g un", + "geun eun", + "b ge", + "ch eo", + "b aeg", + "ju g", + "t a", + "sang dae", + "geu geos", + "do g", + "eu s", + "deu s", + "ja b", + "h yeo", + "tt eohge", + "u g", + "ma j", + "ch il", + "s wi", + "j ileul", + "ch ang", + "g aneun", + "m ag", + "i ji", + "da go", + "m in", + "yo han", + "t eug", + "pp un", + "al eul", + "haeng dong", + "p o", + "m il", + "ch am", + "se sang", + "e do", + "p an", + "man deul", + "am yeon", + "a b", + "kk ae", + "b ag", + "i deul", + "p um", + "m eol", + "s un", + "n eul", + "ham kke", + "chu ng", + "da b", + "yu g", + "s ag", + "gwang ye", + "il eohge", + "bal o", + "neun de", + "ham yeo", + "go s", + "geul eoh", + "an ila", + "bang beob", + "da si", + "b yeol", + "g yeon", + "gam jeong", + "on eul", + "j aneun", + "yeo m", + "l ago", + "i gi", + "hw an", + "t eul", + "eo seo", + "si k", + "ch o", + "jag a", + "geul eom", + "geul eona", + "jeong do", + "g yeog", + "geul eohge", + "geu deul", + "eu t", + "im yeon", + "j jae", + "k eun", + "i sang", + "mal haessda", + "eu ge", + "no p", + "in gan", + "bo myeon", + "t aeg", + "seu s", + "d wi", + "s aneun", + "w an", + "anh go", + "t an", + "nu gu", + "su ng", + "da myeon", + "a deul", + "p eul", + "ttal a", + "d i", + "geos do", + "a ji", + "m eon", + "eum yeo", + "dol og", + "neun g", + "mo du", + "क े", + "ह ै", + "े ं", + "् र", + "ा र", + "न े", + "य ा", + "म ें", + "स े", + "क ी", + "क ा", + "ो ं", + "त ा", + "क र", + "स ्", + "क ि", + "क ो", + "र ्", + "न ा", + "क ्", + "ह ी", + "औ र", + "प र", + "त े", + "ह ो", + "प ्र", + "ा न", + "् य", + "ल ा", + "व ा", + "ल े", + "स ा", + "है ं", + "ल ि", + "ज ा", + "ह ा", + "भ ी", + "व ि", + "इ स", + "त ी", + "न ्", + "र ा", + "म ा", + "द े", + "द ि", + "ब ा", + "त ि", + "थ ा", + "न ि", + "क ार", + "ए क", + "ही ं", + "ह ु", + "ं ग", + "ै ं", + "न ी", + "स ी", + "अ प", + "त ्", + "न हीं", + "र ी", + "म े", + "म ु", + "ि त", + "त ो", + "प ा", + "ल ी", + "लि ए", + "ग ा", + "ल ्", + "र ह", + "र े", + "क् ष", + "म ैं", + "स म", + "उ स", + "ज ि", + "त ्र", + "म ि", + "च ा", + "ो ग", + "स ं", + "द ्", + "स ि", + "आ प", + "त ु", + "द ा", + "क ु", + "य ों", + "व े", + "ज ी", + "् या", + "उ न", + "ि क", + "य े", + "भ ा", + "् ट", + "ह म", + "स् ट", + "श ा", + "ड ़", + "ं द", + "ख ा", + "म ्", + "श ्", + "य ह", + "स क", + "प ू", + "कि या", + "अप ने", + "र ू", + "स ु", + "म ी", + "ह ि", + "ज ो", + "थ े", + "र ि", + "द ी", + "थ ी", + "ग ी", + "ल ोग", + "ग या", + "त र", + "न् ह", + "च ्", + "व ार", + "ब ी", + "प ्", + "द ो", + "ट ी", + "श ि", + "कर ने", + "ग े", + "ै से", + "इ न", + "ं ड", + "सा थ", + "प ु", + "ब े", + "ब ार", + "व ी", + "अ न", + "ह र", + "उ न्ह", + "हो ता", + "ज ब", + "कु छ", + "म ान", + "क ्र", + "ब ि", + "प ह", + "फ ि", + "स र", + "ार ी", + "र ो", + "द ू", + "क हा", + "त क", + "श न", + "ब ्", + "स् थ", + "व ह", + "बा द", + "ओ ं", + "ग ु", + "ज ्", + "्र े", + "ग र", + "रह े", + "व र्", + "ह ू", + "ार ्", + "प ी", + "ब हु", + "मु झ", + "्र ा", + "दि या", + "स ब", + "कर ते", + "अप नी", + "बहु त", + "क ह", + "ट े", + "हु ए", + "कि सी", + "र हा", + "ष ्ट", + "ज ़", + "ब ना", + "स ो", + "ड ि", + "को ई", + "व ्य", + "बा त", + "र ु", + "व ो", + "मुझ े", + "द् ध", + "च ार", + "मे रे", + "व र", + "्र ी", + "जा ता", + "न ों", + "प्र ा", + "दे ख", + "ट ा", + "क् या", + "अ ध", + "ल ग", + "ल ो", + "प ि", + "य ु", + "च े", + "जि स", + "ं त", + "ान ी", + "प ै", + "ज न", + "ार े", + "च ी", + "मि ल", + "द ु", + "दे श", + "च् छ", + "ष ्", + "स ू", + "ख े", + "च ु", + "ि या", + "ल गा", + "ब ु", + "उन के", + "ज् ञ", + "क्ष ा", + "त रह", + "्या दा", + "वा ले", + "पू र्", + "मैं ने", + "का म", + "रू प", + "हो ती", + "उ प", + "ज ान", + "प्र कार", + "भ ार", + "म न", + "हु आ", + "ट र", + "हू ँ", + "पर ि", + "पा स", + "अन ु", + "रा ज", + "लोग ों", + "अ ब", + "सम झ", + "ड ी", + "म ौ", + "श ु", + "च ि", + "प े", + "क ृ", + "सक ते", + "म ह", + "य ोग", + "द र्", + "उ से", + "ं ध", + "ड ा", + "जा ए", + "ब ो", + "ू ल", + "म ो", + "ों ने", + "ं स", + "तु म", + "पह ले", + "ब ता", + "त था", + "य ो", + "ग ई", + "उ त्", + "सक ता", + "क म", + "ज ्यादा", + "र ख", + "सम य", + "ार ा", + "अ गर", + "स् त", + "च ल", + "फि र", + "वार ा", + "कर ना", + "श ी", + "ग ए", + "ब न", + "ौ र", + "हो ने", + "चा ह", + "ख ु", + "हा ँ", + "उन्ह ें", + "उन्ह ोंने", + "छ ो", + "म् ह", + "प्र ति", + "नि क", + "व न", + "्य ू", + "र ही", + "तु म्ह", + "ज ैसे", + "ि यों", + "क् यों", + "ल ों", + "फ ़", + "ं त्र", + "हो ते", + "क् ति", + "त ्य", + "कर ्", + "क ई", + "व ं", + "कि न", + "प ो", + "कार ण", + "ड़ ी", + "भ ि", + "इस के", + "ब र", + "उस के", + "द् वारा", + "श े", + "क ॉ", + "दि न", + "न् न", + "ड़ ा", + "स् व", + "नि र्", + "मु ख", + "लि या", + "ट ि", + "ज्ञ ान", + "क् त", + "द ्र", + "ग ्", + "क् स", + "म ै", + "ग ो", + "ज े", + "ट ्र", + "म ार", + "त् व", + "ध ार", + "भा व", + "कर ता", + "ख ि", + "क ं", + "चा हि", + "य र", + "प् त", + "क ों", + "ं च", + "ज ु", + "म त", + "अ च्छ", + "हु ई", + "क भी", + "ले किन", + "भ ू", + "अप ना", + "दू स", + "चाहि ए", + "य ू", + "घ र", + "सब से", + "मे री", + "ना म", + "ढ ़", + "ं ट", + "ें गे", + "ब ै", + "फ ा", + "ए वं", + "य ी", + "ग ्र", + "क्ष े", + "आ ज", + "आप को", + "भा ग", + "ठ ा", + "क ै", + "भार त", + "उन की", + "प हु", + "स भी", + "ध ा", + "ण ा", + "स ान", + "हो गा", + "त ब", + "स ंग", + "प र्", + "अ व", + "त ना", + "ग ि", + "य न", + "स् था", + "च ित", + "ट ्", + "छ ा", + "जा ने", + "क्षे त्र", + "वा ली", + "पूर् ण", + "स मा", + "कार ी" + ] + } +} \ No newline at end of file diff --git a/comfy/text_encoders/ace_text_cleaners.py b/comfy/text_encoders/ace_text_cleaners.py new file mode 100644 index 0000000000000000000000000000000000000000..cd31d8d8cdffcda51cc26405c3f6f2bcee410d48 --- /dev/null +++ b/comfy/text_encoders/ace_text_cleaners.py @@ -0,0 +1,395 @@ +# basic text cleaners for the ACE step model +# I didn't copy the ones from the reference code because I didn't want to deal with the dependencies +# TODO: more languages than english? + +import re + +def japanese_to_romaji(japanese_text): + """ + Convert Japanese hiragana and katakana to romaji (Latin alphabet representation). + + Args: + japanese_text (str): Text containing hiragana and/or katakana characters + + Returns: + str: The romaji (Latin alphabet) equivalent + """ + # Dictionary mapping kana characters to their romaji equivalents + kana_map = { + # Katakana characters + 'ア': 'a', 'イ': 'i', 'ウ': 'u', 'エ': 'e', 'オ': 'o', + 'カ': 'ka', 'キ': 'ki', 'ク': 'ku', 'ケ': 'ke', 'コ': 'ko', + 'サ': 'sa', 'シ': 'shi', 'ス': 'su', 'セ': 'se', 'ソ': 'so', + 'タ': 'ta', 'チ': 'chi', 'ツ': 'tsu', 'テ': 'te', 'ト': 'to', + 'ナ': 'na', 'ニ': 'ni', 'ヌ': 'nu', 'ネ': 'ne', 'ノ': 'no', + 'ハ': 'ha', 'ヒ': 'hi', 'フ': 'fu', 'ヘ': 'he', 'ホ': 'ho', + 'マ': 'ma', 'ミ': 'mi', 'ム': 'mu', 'メ': 'me', 'モ': 'mo', + 'ヤ': 'ya', 'ユ': 'yu', 'ヨ': 'yo', + 'ラ': 'ra', 'リ': 'ri', 'ル': 'ru', 'レ': 're', 'ロ': 'ro', + 'ワ': 'wa', 'ヲ': 'wo', 'ン': 'n', + + # Katakana voiced consonants + 'ガ': 'ga', 'ギ': 'gi', 'グ': 'gu', 'ゲ': 'ge', 'ゴ': 'go', + 'ザ': 'za', 'ジ': 'ji', 'ズ': 'zu', 'ゼ': 'ze', 'ゾ': 'zo', + 'ダ': 'da', 'ヂ': 'ji', 'ヅ': 'zu', 'デ': 'de', 'ド': 'do', + 'バ': 'ba', 'ビ': 'bi', 'ブ': 'bu', 'ベ': 'be', 'ボ': 'bo', + 'パ': 'pa', 'ピ': 'pi', 'プ': 'pu', 'ペ': 'pe', 'ポ': 'po', + + # Katakana combinations + 'キャ': 'kya', 'キュ': 'kyu', 'キョ': 'kyo', + 'シャ': 'sha', 'シュ': 'shu', 'ショ': 'sho', + 'チャ': 'cha', 'チュ': 'chu', 'チョ': 'cho', + 'ニャ': 'nya', 'ニュ': 'nyu', 'ニョ': 'nyo', + 'ヒャ': 'hya', 'ヒュ': 'hyu', 'ヒョ': 'hyo', + 'ミャ': 'mya', 'ミュ': 'myu', 'ミョ': 'myo', + 'リャ': 'rya', 'リュ': 'ryu', 'リョ': 'ryo', + 'ギャ': 'gya', 'ギュ': 'gyu', 'ギョ': 'gyo', + 'ジャ': 'ja', 'ジュ': 'ju', 'ジョ': 'jo', + 'ビャ': 'bya', 'ビュ': 'byu', 'ビョ': 'byo', + 'ピャ': 'pya', 'ピュ': 'pyu', 'ピョ': 'pyo', + + # Katakana small characters and special cases + 'ッ': '', # Small tsu (doubles the following consonant) + 'ャ': 'ya', 'ュ': 'yu', 'ョ': 'yo', + + # Katakana extras + 'ヴ': 'vu', 'ファ': 'fa', 'フィ': 'fi', 'フェ': 'fe', 'フォ': 'fo', + 'ウィ': 'wi', 'ウェ': 'we', 'ウォ': 'wo', + + # Hiragana characters + 'あ': 'a', 'い': 'i', 'う': 'u', 'え': 'e', 'お': 'o', + 'か': 'ka', 'き': 'ki', 'く': 'ku', 'け': 'ke', 'こ': 'ko', + 'さ': 'sa', 'し': 'shi', 'す': 'su', 'せ': 'se', 'そ': 'so', + 'た': 'ta', 'ち': 'chi', 'つ': 'tsu', 'て': 'te', 'と': 'to', + 'な': 'na', 'に': 'ni', 'ぬ': 'nu', 'ね': 'ne', 'の': 'no', + 'は': 'ha', 'ひ': 'hi', 'ふ': 'fu', 'へ': 'he', 'ほ': 'ho', + 'ま': 'ma', 'み': 'mi', 'む': 'mu', 'め': 'me', 'も': 'mo', + 'や': 'ya', 'ゆ': 'yu', 'よ': 'yo', + 'ら': 'ra', 'り': 'ri', 'る': 'ru', 'れ': 're', 'ろ': 'ro', + 'わ': 'wa', 'を': 'wo', 'ん': 'n', + + # Hiragana voiced consonants + 'が': 'ga', 'ぎ': 'gi', 'ぐ': 'gu', 'げ': 'ge', 'ご': 'go', + 'ざ': 'za', 'じ': 'ji', 'ず': 'zu', 'ぜ': 'ze', 'ぞ': 'zo', + 'だ': 'da', 'ぢ': 'ji', 'づ': 'zu', 'で': 'de', 'ど': 'do', + 'ば': 'ba', 'び': 'bi', 'ぶ': 'bu', 'べ': 'be', 'ぼ': 'bo', + 'ぱ': 'pa', 'ぴ': 'pi', 'ぷ': 'pu', 'ぺ': 'pe', 'ぽ': 'po', + + # Hiragana combinations + 'きゃ': 'kya', 'きゅ': 'kyu', 'きょ': 'kyo', + 'しゃ': 'sha', 'しゅ': 'shu', 'しょ': 'sho', + 'ちゃ': 'cha', 'ちゅ': 'chu', 'ちょ': 'cho', + 'にゃ': 'nya', 'にゅ': 'nyu', 'にょ': 'nyo', + 'ひゃ': 'hya', 'ひゅ': 'hyu', 'ひょ': 'hyo', + 'みゃ': 'mya', 'みゅ': 'myu', 'みょ': 'myo', + 'りゃ': 'rya', 'りゅ': 'ryu', 'りょ': 'ryo', + 'ぎゃ': 'gya', 'ぎゅ': 'gyu', 'ぎょ': 'gyo', + 'じゃ': 'ja', 'じゅ': 'ju', 'じょ': 'jo', + 'びゃ': 'bya', 'びゅ': 'byu', 'びょ': 'byo', + 'ぴゃ': 'pya', 'ぴゅ': 'pyu', 'ぴょ': 'pyo', + + # Hiragana small characters and special cases + 'っ': '', # Small tsu (doubles the following consonant) + 'ゃ': 'ya', 'ゅ': 'yu', 'ょ': 'yo', + + # Common punctuation and spaces + '　': ' ', # Japanese space + '、': ', ', '。': '. ', + } + + result = [] + i = 0 + + while i < len(japanese_text): + # Check for small tsu (doubling the following consonant) + if i < len(japanese_text) - 1 and (japanese_text[i] == 'っ' or japanese_text[i] == 'ッ'): + if i < len(japanese_text) - 1 and japanese_text[i+1] in kana_map: + next_romaji = kana_map[japanese_text[i+1]] + if next_romaji and next_romaji[0] not in 'aiueon': + result.append(next_romaji[0]) # Double the consonant + i += 1 + continue + + # Check for combinations with small ya, yu, yo + if i < len(japanese_text) - 1 and japanese_text[i+1] in ('ゃ', 'ゅ', 'ょ', 'ャ', 'ュ', 'ョ'): + combo = japanese_text[i:i+2] + if combo in kana_map: + result.append(kana_map[combo]) + i += 2 + continue + + # Regular character + if japanese_text[i] in kana_map: + result.append(kana_map[japanese_text[i]]) + else: + # If it's not in our map, keep it as is (might be kanji, romaji, etc.) + result.append(japanese_text[i]) + + i += 1 + + return ''.join(result) + +def number_to_text(num, ordinal=False): + """ + Convert a number (int or float) to its text representation. + + Args: + num: The number to convert + + Returns: + str: Text representation of the number + """ + + if not isinstance(num, (int, float)): + return "Input must be a number" + + # Handle special case of zero + if num == 0: + return "zero" + + # Handle negative numbers + negative = num < 0 + num = abs(num) + + # Handle floats + if isinstance(num, float): + # Split into integer and decimal parts + int_part = int(num) + + # Convert both parts + int_text = _int_to_text(int_part) + + # Handle decimal part (convert to string and remove '0.') + decimal_str = str(num).split('.')[1] + decimal_text = " point " + " ".join(_digit_to_text(int(digit)) for digit in decimal_str) + + result = int_text + decimal_text + else: + # Handle integers + result = _int_to_text(num) + + # Add 'negative' prefix for negative numbers + if negative: + result = "negative " + result + + return result + + +def _int_to_text(num): + """Helper function to convert an integer to text""" + + ones = ["", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", + "ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen", "sixteen", + "seventeen", "eighteen", "nineteen"] + + tens = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy", "eighty", "ninety"] + + if num < 20: + return ones[num] + + if num < 100: + return tens[num // 10] + (" " + ones[num % 10] if num % 10 != 0 else "") + + if num < 1000: + return ones[num // 100] + " hundred" + (" " + _int_to_text(num % 100) if num % 100 != 0 else "") + + if num < 1000000: + return _int_to_text(num // 1000) + " thousand" + (" " + _int_to_text(num % 1000) if num % 1000 != 0 else "") + + if num < 1000000000: + return _int_to_text(num // 1000000) + " million" + (" " + _int_to_text(num % 1000000) if num % 1000000 != 0 else "") + + return _int_to_text(num // 1000000000) + " billion" + (" " + _int_to_text(num % 1000000000) if num % 1000000000 != 0 else "") + + +def _digit_to_text(digit): + """Convert a single digit to text""" + digits = ["zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine"] + return digits[digit] + + +_whitespace_re = re.compile(r"\s+") + + +# List of (regular expression, replacement) pairs for abbreviations: +_abbreviations = { + "en": [ + (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1]) + for x in [ + ("mrs", "misess"), + ("mr", "mister"), + ("dr", "doctor"), + ("st", "saint"), + ("co", "company"), + ("jr", "junior"), + ("maj", "major"), + ("gen", "general"), + ("drs", "doctors"), + ("rev", "reverend"), + ("lt", "lieutenant"), + ("hon", "honorable"), + ("sgt", "sergeant"), + ("capt", "captain"), + ("esq", "esquire"), + ("ltd", "limited"), + ("col", "colonel"), + ("ft", "fort"), + ] + ], +} + + +def expand_abbreviations_multilingual(text, lang="en"): + for regex, replacement in _abbreviations[lang]: + text = re.sub(regex, replacement, text) + return text + + +_symbols_multilingual = { + "en": [ + (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1]) + for x in [ + ("&", " and "), + ("@", " at "), + ("%", " percent "), + ("#", " hash "), + ("$", " dollar "), + ("£", " pound "), + ("°", " degree "), + ] + ], +} + + +def expand_symbols_multilingual(text, lang="en"): + for regex, replacement in _symbols_multilingual[lang]: + text = re.sub(regex, replacement, text) + text = text.replace(" ", " ") # Ensure there are no double spaces + return text.strip() + + +_ordinal_re = { + "en": re.compile(r"([0-9]+)(st|nd|rd|th)"), +} +_number_re = re.compile(r"[0-9]+") +_currency_re = { + "USD": re.compile(r"((\$[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+\$))"), + "GBP": re.compile(r"((£[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+£))"), + "EUR": re.compile(r"(([0-9\.\,]*[0-9]+€)|((€[0-9\.\,]*[0-9]+)))"), +} + +_comma_number_re = re.compile(r"\b\d{1,3}(,\d{3})*(\.\d+)?\b") +_dot_number_re = re.compile(r"\b\d{1,3}(.\d{3})*(\,\d+)?\b") +_decimal_number_re = re.compile(r"([0-9]+[.,][0-9]+)") + + +def _remove_commas(m): + text = m.group(0) + if "," in text: + text = text.replace(",", "") + return text + + +def _remove_dots(m): + text = m.group(0) + if "." in text: + text = text.replace(".", "") + return text + + +def _expand_decimal_point(m, lang="en"): + amount = m.group(1).replace(",", ".") + return number_to_text(float(amount)) + + +def _expand_currency(m, lang="en", currency="USD"): + amount = float((re.sub(r"[^\d.]", "", m.group(0).replace(",", ".")))) + full_amount = number_to_text(amount) + + and_equivalents = { + "en": ", ", + "es": " con ", + "fr": " et ", + "de": " und ", + "pt": " e ", + "it": " e ", + "pl": ", ", + "cs": ", ", + "ru": ", ", + "nl": ", ", + "ar": ", ", + "tr": ", ", + "hu": ", ", + "ko": ", ", + } + + if amount.is_integer(): + last_and = full_amount.rfind(and_equivalents[lang]) + if last_and != -1: + full_amount = full_amount[:last_and] + + return full_amount + + +def _expand_ordinal(m, lang="en"): + return number_to_text(int(m.group(1)), ordinal=True) + + +def _expand_number(m, lang="en"): + return number_to_text(int(m.group(0))) + + +def expand_numbers_multilingual(text, lang="en"): + if lang in ["en", "ru"]: + text = re.sub(_comma_number_re, _remove_commas, text) + else: + text = re.sub(_dot_number_re, _remove_dots, text) + try: + text = re.sub(_currency_re["GBP"], lambda m: _expand_currency(m, lang, "GBP"), text) + text = re.sub(_currency_re["USD"], lambda m: _expand_currency(m, lang, "USD"), text) + text = re.sub(_currency_re["EUR"], lambda m: _expand_currency(m, lang, "EUR"), text) + except: + pass + + text = re.sub(_decimal_number_re, lambda m: _expand_decimal_point(m, lang), text) + text = re.sub(_ordinal_re[lang], lambda m: _expand_ordinal(m, lang), text) + text = re.sub(_number_re, lambda m: _expand_number(m, lang), text) + return text + + +def lowercase(text): + return text.lower() + + +def collapse_whitespace(text): + return re.sub(_whitespace_re, " ", text) + + +def multilingual_cleaners(text, lang): + text = text.replace('"', "") + if lang == "tr": + text = text.replace("İ", "i") + text = text.replace("Ö", "ö") + text = text.replace("Ü", "ü") + text = lowercase(text) + try: + text = expand_numbers_multilingual(text, lang) + except: + pass + try: + text = expand_abbreviations_multilingual(text, lang) + except: + pass + try: + text = expand_symbols_multilingual(text, lang=lang) + except: + pass + text = collapse_whitespace(text) + return text + + +def basic_cleaners(text): + """Basic pipeline that lowercases and collapses whitespace without transliteration.""" + text = lowercase(text) + text = collapse_whitespace(text) + return text diff --git a/comfy/text_encoders/aura_t5.py b/comfy/text_encoders/aura_t5.py new file mode 100644 index 0000000000000000000000000000000000000000..cf4252eea3ad6ed02e0a8ee4c13385c78909cbd8 --- /dev/null +++ b/comfy/text_encoders/aura_t5.py @@ -0,0 +1,22 @@ +from comfy import sd1_clip +from .spiece_tokenizer import SPieceTokenizer +import comfy.text_encoders.t5 +import os + +class PT5XlModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_config_xl.json") + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 2, "pad": 1}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=True, model_options=model_options) + +class PT5XlTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer"), "tokenizer.model") + super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1, tokenizer_data=tokenizer_data) + +class AuraT5Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="pile_t5xl", tokenizer=PT5XlTokenizer) + +class AuraT5Model(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): + super().__init__(device=device, dtype=dtype, model_options=model_options, name="pile_t5xl", clip_model=PT5XlModel, **kwargs) diff --git a/comfy/text_encoders/bert.py b/comfy/text_encoders/bert.py new file mode 100644 index 0000000000000000000000000000000000000000..ed4638a9ab4882ac9f72033e3a6f07537682d807 --- /dev/null +++ b/comfy/text_encoders/bert.py @@ -0,0 +1,143 @@ +import torch +from comfy.ldm.modules.attention import optimized_attention_for_device +import comfy.ops + +class BertAttention(torch.nn.Module): + def __init__(self, embed_dim, heads, dtype, device, operations): + super().__init__() + + self.heads = heads + self.query = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + self.key = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + self.value = operations.Linear(embed_dim, embed_dim, bias=True, dtype=dtype, device=device) + + + def forward(self, x, mask=None, optimized_attention=None): + q = self.query(x) + k = self.key(x) + v = self.value(x) + + out = optimized_attention(q, k, v, self.heads, mask) + return out + +class BertOutput(torch.nn.Module): + def __init__(self, input_dim, output_dim, layer_norm_eps, dtype, device, operations): + super().__init__() + self.dense = operations.Linear(input_dim, output_dim, dtype=dtype, device=device) + self.LayerNorm = operations.LayerNorm(output_dim, eps=layer_norm_eps, dtype=dtype, device=device) + # self.dropout = nn.Dropout(0.0) + + def forward(self, x, y): + x = self.dense(x) + # hidden_states = self.dropout(hidden_states) + x = self.LayerNorm(x + y) + return x + +class BertAttentionBlock(torch.nn.Module): + def __init__(self, embed_dim, heads, layer_norm_eps, dtype, device, operations): + super().__init__() + self.self = BertAttention(embed_dim, heads, dtype, device, operations) + self.output = BertOutput(embed_dim, embed_dim, layer_norm_eps, dtype, device, operations) + + def forward(self, x, mask, optimized_attention): + y = self.self(x, mask, optimized_attention) + return self.output(y, x) + +class BertIntermediate(torch.nn.Module): + def __init__(self, embed_dim, intermediate_dim, dtype, device, operations): + super().__init__() + self.dense = operations.Linear(embed_dim, intermediate_dim, dtype=dtype, device=device) + + def forward(self, x): + x = self.dense(x) + return torch.nn.functional.gelu(x) + + +class BertBlock(torch.nn.Module): + def __init__(self, embed_dim, intermediate_dim, heads, layer_norm_eps, dtype, device, operations): + super().__init__() + self.attention = BertAttentionBlock(embed_dim, heads, layer_norm_eps, dtype, device, operations) + self.intermediate = BertIntermediate(embed_dim, intermediate_dim, dtype, device, operations) + self.output = BertOutput(intermediate_dim, embed_dim, layer_norm_eps, dtype, device, operations) + + def forward(self, x, mask, optimized_attention): + x = self.attention(x, mask, optimized_attention) + y = self.intermediate(x) + return self.output(y, x) + +class BertEncoder(torch.nn.Module): + def __init__(self, num_layers, embed_dim, intermediate_dim, heads, layer_norm_eps, dtype, device, operations): + super().__init__() + self.layer = torch.nn.ModuleList([BertBlock(embed_dim, intermediate_dim, heads, layer_norm_eps, dtype, device, operations) for i in range(num_layers)]) + + def forward(self, x, mask=None, intermediate_output=None): + optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True) + + if intermediate_output is not None: + if intermediate_output < 0: + intermediate_output = len(self.layer) + intermediate_output + + intermediate = None + for i, l in enumerate(self.layer): + x = l(x, mask, optimized_attention) + if i == intermediate_output: + intermediate = x.clone() + return x, intermediate + +class BertEmbeddings(torch.nn.Module): + def __init__(self, vocab_size, max_position_embeddings, type_vocab_size, pad_token_id, embed_dim, layer_norm_eps, dtype, device, operations): + super().__init__() + self.word_embeddings = operations.Embedding(vocab_size, embed_dim, padding_idx=pad_token_id, dtype=dtype, device=device) + self.position_embeddings = operations.Embedding(max_position_embeddings, embed_dim, dtype=dtype, device=device) + self.token_type_embeddings = operations.Embedding(type_vocab_size, embed_dim, dtype=dtype, device=device) + + self.LayerNorm = operations.LayerNorm(embed_dim, eps=layer_norm_eps, dtype=dtype, device=device) + + def forward(self, input_tokens, embeds=None, token_type_ids=None, dtype=None): + if embeds is not None: + x = embeds + else: + x = self.word_embeddings(input_tokens, out_dtype=dtype) + x += comfy.ops.cast_to_input(self.position_embeddings.weight[:x.shape[1]], x) + if token_type_ids is not None: + x += self.token_type_embeddings(token_type_ids, out_dtype=x.dtype) + else: + x += comfy.ops.cast_to_input(self.token_type_embeddings.weight[0], x) + x = self.LayerNorm(x) + return x + + +class BertModel_(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + embed_dim = config_dict["hidden_size"] + layer_norm_eps = config_dict["layer_norm_eps"] + + self.embeddings = BertEmbeddings(config_dict["vocab_size"], config_dict["max_position_embeddings"], config_dict["type_vocab_size"], config_dict["pad_token_id"], embed_dim, layer_norm_eps, dtype, device, operations) + self.encoder = BertEncoder(config_dict["num_hidden_layers"], embed_dim, config_dict["intermediate_size"], config_dict["num_attention_heads"], layer_norm_eps, dtype, device, operations) + + def forward(self, input_tokens, attention_mask=None, embeds=None, num_tokens=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=None, embeds_info=[]): + x = self.embeddings(input_tokens, embeds=embeds, dtype=dtype) + mask = None + if attention_mask is not None: + mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1]) + mask = mask.masked_fill(mask.to(torch.bool), -torch.finfo(x.dtype).max) + + x, i = self.encoder(x, mask, intermediate_output) + return x, i + + +class BertModel(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + self.bert = BertModel_(config_dict, dtype, device, operations) + self.num_layers = config_dict["num_hidden_layers"] + + def get_input_embeddings(self): + return self.bert.embeddings.word_embeddings + + def set_input_embeddings(self, embeddings): + self.bert.embeddings.word_embeddings = embeddings + + def forward(self, *args, **kwargs): + return self.bert(*args, **kwargs) diff --git a/comfy/text_encoders/byt5_config_small_glyph.json b/comfy/text_encoders/byt5_config_small_glyph.json new file mode 100644 index 0000000000000000000000000000000000000000..0239c7164ef3eaa72e0114e85c1f37847f3602ae --- /dev/null +++ b/comfy/text_encoders/byt5_config_small_glyph.json @@ -0,0 +1,22 @@ +{ + "d_ff": 3584, + "d_kv": 64, + "d_model": 1472, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "gelu_pytorch_tanh", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "t5", + "num_decoder_layers": 4, + "num_heads": 6, + "num_layers": 12, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 1510 +} diff --git a/comfy/text_encoders/byt5_tokenizer/added_tokens.json b/comfy/text_encoders/byt5_tokenizer/added_tokens.json new file mode 100644 index 0000000000000000000000000000000000000000..93c190b5690dd55aac16723222a9909e2be0faec --- /dev/null +++ b/comfy/text_encoders/byt5_tokenizer/added_tokens.json @@ -0,0 +1,127 @@ +{ + "": 259, + "": 359, + "": 360, + "": 361, + "": 362, + "": 363, + "": 364, + "": 365, + "": 366, + "": 367, + "": 368, + "": 269, + "": 369, + "": 370, + "": 371, + "": 372, + "": 373, + "": 374, + "": 375, + "": 376, + "": 377, + "": 378, + "": 270, + "": 379, + "": 380, + "": 381, + "": 382, + "": 383, + "": 271, + "": 272, + "": 273, + "": 274, + "": 275, + "": 276, + "": 277, + "": 278, + "": 260, + "": 279, + "": 280, + "": 281, + "": 282, + "": 283, + "": 284, + "": 285, + "": 286, + "": 287, + "": 288, + "": 261, + "": 289, + "": 290, + "": 291, + "": 292, + "": 293, + "": 294, + "": 295, + "": 296, + "": 297, + "": 298, + "": 262, + "": 299, + "": 300, + "": 301, + "": 302, + "": 303, + "": 304, + "": 305, + "": 306, + "": 307, + "": 308, + "": 263, + "": 309, + "": 310, + "": 311, + "": 312, + "": 313, + "": 314, + "": 315, + "": 316, + "": 317, + "": 318, + "": 264, + "": 319, + "": 320, + "": 321, + "": 322, + "": 323, + "": 324, + "": 325, + "": 326, + "": 327, + "": 328, + "": 265, + "": 329, + "": 330, + "": 331, + "": 332, + "": 333, + "": 334, + "": 335, + "": 336, + "": 337, + "": 338, + "": 266, + "": 339, + "": 340, + "": 341, + "": 342, + "": 343, + "": 344, + "": 345, + "": 346, + "": 347, + "": 348, + "": 267, + "": 349, + "": 350, + "": 351, + "": 352, + "": 353, + "": 354, + "": 355, + "": 356, + "": 357, + "": 358, + "": 268 +} diff --git a/comfy/text_encoders/byt5_tokenizer/special_tokens_map.json b/comfy/text_encoders/byt5_tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..04fd58b5fbf6a36fda564a656b14c137ef045689 --- /dev/null +++ b/comfy/text_encoders/byt5_tokenizer/special_tokens_map.json @@ -0,0 +1,150 @@ +{ + "additional_special_tokens": [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "" + ], + "eos_token": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/comfy/text_encoders/byt5_tokenizer/tokenizer_config.json b/comfy/text_encoders/byt5_tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b1fe24c1b1962f69a7754a26e6770ae7bcb7764 --- /dev/null +++ b/comfy/text_encoders/byt5_tokenizer/tokenizer_config.json @@ -0,0 +1,1163 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + }, + "259": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "260": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "261": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "262": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "263": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "264": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "265": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "266": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "267": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "268": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "269": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "270": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "271": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "272": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "273": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "274": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "275": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "276": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "277": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "278": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "279": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "280": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "281": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "282": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "283": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "284": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "285": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "286": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "287": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "288": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "289": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "290": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "291": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "292": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "293": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "294": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "295": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "296": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "297": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "298": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "299": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "300": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "301": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "302": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "303": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "304": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "305": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "306": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "307": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "308": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "309": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "310": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "311": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "312": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "313": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "314": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "315": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "316": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "317": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "318": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "319": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "320": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "321": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "322": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "323": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "324": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "325": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "326": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "327": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "328": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "329": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "330": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "331": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "332": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "333": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "334": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "335": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "336": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "337": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "338": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "339": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "340": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "341": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "342": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "343": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "344": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "345": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "346": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "347": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "348": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "349": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "350": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "351": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "352": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "353": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "354": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "355": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "356": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "357": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "358": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "359": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "360": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "361": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "362": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "363": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "364": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "365": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "366": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "367": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "368": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "369": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "370": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "371": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "372": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "373": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "374": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "375": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "376": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "377": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "378": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "379": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "380": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "381": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "382": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "383": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "" + ], + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_ids": 0, + "extra_special_tokens": {}, + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "tokenizer_class": "ByT5Tokenizer", + "unk_token": "" +} diff --git a/comfy/text_encoders/cosmos.py b/comfy/text_encoders/cosmos.py new file mode 100644 index 0000000000000000000000000000000000000000..a1adb5242bc9d625bbb32b9d55ca426a0f61e419 --- /dev/null +++ b/comfy/text_encoders/cosmos.py @@ -0,0 +1,42 @@ +from comfy import sd1_clip +import comfy.text_encoders.t5 +import os +from transformers import T5TokenizerFast + + +class T5XXLModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, attention_mask=True, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_old_config_xxl.json") + t5xxl_scaled_fp8 = model_options.get("t5xxl_scaled_fp8", None) + if t5xxl_scaled_fp8 is not None: + model_options = model_options.copy() + model_options["scaled_fp8"] = t5xxl_scaled_fp8 + + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, zero_out_masked=attention_mask, model_options=model_options) + +class CosmosT5XXL(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, name="t5xxl", clip_model=T5XXLModel, model_options=model_options) + + +class T5XXLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=1024, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=512, tokenizer_data=tokenizer_data) + + +class CosmosT5Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5xxl", tokenizer=T5XXLTokenizer) + + +def te(dtype_t5=None, t5xxl_scaled_fp8=None): + class CosmosTEModel_(CosmosT5XXL): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8 + if dtype is None: + dtype = dtype_t5 + super().__init__(device=device, dtype=dtype, model_options=model_options) + return CosmosTEModel_ diff --git a/comfy/text_encoders/flux.py b/comfy/text_encoders/flux.py new file mode 100644 index 0000000000000000000000000000000000000000..d61ef66689b32e52d15e962d41793a489aa44eab --- /dev/null +++ b/comfy/text_encoders/flux.py @@ -0,0 +1,70 @@ +from comfy import sd1_clip +import comfy.text_encoders.t5 +import comfy.text_encoders.sd3_clip +import comfy.model_management +from transformers import T5TokenizerFast +import torch +import os + +class T5XXLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, tokenizer_data=tokenizer_data) + + +class FluxTokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.t5xxl = T5XXLTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids, **kwargs) + out["t5xxl"] = self.t5xxl.tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return self.clip_l.untokenize(token_weight_pair) + + def state_dict(self): + return {} + + +class FluxClipModel(torch.nn.Module): + def __init__(self, dtype_t5=None, device="cpu", dtype=None, model_options={}): + super().__init__() + dtype_t5 = comfy.model_management.pick_weight_dtype(dtype_t5, dtype, device) + self.clip_l = sd1_clip.SDClipModel(device=device, dtype=dtype, return_projected_pooled=False, model_options=model_options) + self.t5xxl = comfy.text_encoders.sd3_clip.T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options) + self.dtypes = set([dtype, dtype_t5]) + + def set_clip_options(self, options): + self.clip_l.set_clip_options(options) + self.t5xxl.set_clip_options(options) + + def reset_clip_options(self): + self.clip_l.reset_clip_options() + self.t5xxl.reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs_l = token_weight_pairs["l"] + token_weight_pairs_t5 = token_weight_pairs["t5xxl"] + + t5_out, t5_pooled = self.t5xxl.encode_token_weights(token_weight_pairs_t5) + l_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l) + return t5_out, l_pooled + + def load_sd(self, sd): + if "text_model.encoder.layers.1.mlp.fc1.weight" in sd: + return self.clip_l.load_sd(sd) + else: + return self.t5xxl.load_sd(sd) + +def flux_clip(dtype_t5=None, t5xxl_scaled_fp8=None): + class FluxClipModel_(FluxClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8 + super().__init__(dtype_t5=dtype_t5, device=device, dtype=dtype, model_options=model_options) + return FluxClipModel_ diff --git a/comfy/text_encoders/genmo.py b/comfy/text_encoders/genmo.py new file mode 100644 index 0000000000000000000000000000000000000000..9dcf190a232550c9e678e819c88092a5bc518058 --- /dev/null +++ b/comfy/text_encoders/genmo.py @@ -0,0 +1,38 @@ +from comfy import sd1_clip +import comfy.text_encoders.sd3_clip +import os +from transformers import T5TokenizerFast + + +class T5XXLModel(comfy.text_encoders.sd3_clip.T5XXLModel): + def __init__(self, **kwargs): + kwargs["attention_mask"] = True + super().__init__(**kwargs) + + +class MochiT5XXL(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, name="t5xxl", clip_model=T5XXLModel, model_options=model_options) + + +class T5XXLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, tokenizer_data=tokenizer_data) + + +class MochiT5Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5xxl", tokenizer=T5XXLTokenizer) + + +def mochi_te(dtype_t5=None, t5xxl_scaled_fp8=None): + class MochiTEModel_(MochiT5XXL): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8 + if dtype is None: + dtype = dtype_t5 + super().__init__(device=device, dtype=dtype, model_options=model_options) + return MochiTEModel_ diff --git a/comfy/text_encoders/hidream.py b/comfy/text_encoders/hidream.py new file mode 100644 index 0000000000000000000000000000000000000000..dbcf52784d63b6fc07c289d1e4e27a9fd7376b4c --- /dev/null +++ b/comfy/text_encoders/hidream.py @@ -0,0 +1,155 @@ +from . import hunyuan_video +from . import sd3_clip +from comfy import sd1_clip +from comfy import sdxl_clip +import comfy.model_management +import torch +import logging + + +class HiDreamTokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.clip_g = sdxl_clip.SDXLClipGTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.t5xxl = sd3_clip.T5XXLTokenizer(embedding_directory=embedding_directory, min_length=128, max_length=128, tokenizer_data=tokenizer_data) + self.llama = hunyuan_video.LLAMA3Tokenizer(embedding_directory=embedding_directory, min_length=128, pad_token=128009, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids, **kwargs) + out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids, **kwargs) + t5xxl = self.t5xxl.tokenize_with_weights(text, return_word_ids, **kwargs) + out["t5xxl"] = [t5xxl[0]] # Use only first 128 tokens + out["llama"] = self.llama.tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return self.clip_g.untokenize(token_weight_pair) + + def state_dict(self): + return {} + + +class HiDreamTEModel(torch.nn.Module): + def __init__(self, clip_l=True, clip_g=True, t5=True, llama=True, dtype_t5=None, dtype_llama=None, device="cpu", dtype=None, model_options={}): + super().__init__() + self.dtypes = set() + if clip_l: + self.clip_l = sd1_clip.SDClipModel(device=device, dtype=dtype, return_projected_pooled=True, model_options=model_options) + self.dtypes.add(dtype) + else: + self.clip_l = None + + if clip_g: + self.clip_g = sdxl_clip.SDXLClipG(device=device, dtype=dtype, model_options=model_options) + self.dtypes.add(dtype) + else: + self.clip_g = None + + if t5: + dtype_t5 = comfy.model_management.pick_weight_dtype(dtype_t5, dtype, device) + self.t5xxl = sd3_clip.T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options, attention_mask=True) + self.dtypes.add(dtype_t5) + else: + self.t5xxl = None + + if llama: + dtype_llama = comfy.model_management.pick_weight_dtype(dtype_llama, dtype, device) + if "vocab_size" not in model_options: + model_options["vocab_size"] = 128256 + self.llama = hunyuan_video.LLAMAModel(device=device, dtype=dtype_llama, model_options=model_options, layer="all", layer_idx=None, special_tokens={"start": 128000, "pad": 128009}) + self.dtypes.add(dtype_llama) + else: + self.llama = None + + logging.debug("Created HiDream text encoder with: clip_l {}, clip_g {}, t5xxl {}:{}, llama {}:{}".format(clip_l, clip_g, t5, dtype_t5, llama, dtype_llama)) + + def set_clip_options(self, options): + if self.clip_l is not None: + self.clip_l.set_clip_options(options) + if self.clip_g is not None: + self.clip_g.set_clip_options(options) + if self.t5xxl is not None: + self.t5xxl.set_clip_options(options) + if self.llama is not None: + self.llama.set_clip_options(options) + + def reset_clip_options(self): + if self.clip_l is not None: + self.clip_l.reset_clip_options() + if self.clip_g is not None: + self.clip_g.reset_clip_options() + if self.t5xxl is not None: + self.t5xxl.reset_clip_options() + if self.llama is not None: + self.llama.reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs_l = token_weight_pairs["l"] + token_weight_pairs_g = token_weight_pairs["g"] + token_weight_pairs_t5 = token_weight_pairs["t5xxl"] + token_weight_pairs_llama = token_weight_pairs["llama"] + lg_out = None + pooled = None + extra = {} + + if len(token_weight_pairs_g) > 0 or len(token_weight_pairs_l) > 0: + if self.clip_l is not None: + lg_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l) + else: + l_pooled = torch.zeros((1, 768), device=comfy.model_management.intermediate_device()) + + if self.clip_g is not None: + g_out, g_pooled = self.clip_g.encode_token_weights(token_weight_pairs_g) + else: + g_pooled = torch.zeros((1, 1280), device=comfy.model_management.intermediate_device()) + + pooled = torch.cat((l_pooled, g_pooled), dim=-1) + + if self.t5xxl is not None: + t5_output = self.t5xxl.encode_token_weights(token_weight_pairs_t5) + t5_out, t5_pooled = t5_output[:2] + else: + t5_out = None + + if self.llama is not None: + ll_output = self.llama.encode_token_weights(token_weight_pairs_llama) + ll_out, ll_pooled = ll_output[:2] + ll_out = ll_out[:, 1:] + else: + ll_out = None + + if t5_out is None: + t5_out = torch.zeros((1, 128, 4096), device=comfy.model_management.intermediate_device()) + + if ll_out is None: + ll_out = torch.zeros((1, 32, 1, 4096), device=comfy.model_management.intermediate_device()) + + if pooled is None: + pooled = torch.zeros((1, 768 + 1280), device=comfy.model_management.intermediate_device()) + + extra["conditioning_llama3"] = ll_out + return t5_out, pooled, extra + + def load_sd(self, sd): + if "text_model.encoder.layers.30.mlp.fc1.weight" in sd: + return self.clip_g.load_sd(sd) + elif "text_model.encoder.layers.1.mlp.fc1.weight" in sd: + return self.clip_l.load_sd(sd) + elif "encoder.block.23.layer.1.DenseReluDense.wi_1.weight" in sd: + return self.t5xxl.load_sd(sd) + else: + return self.llama.load_sd(sd) + + +def hidream_clip(clip_l=True, clip_g=True, t5=True, llama=True, dtype_t5=None, dtype_llama=None, t5xxl_scaled_fp8=None, llama_scaled_fp8=None): + class HiDreamTEModel_(HiDreamTEModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8 + if llama_scaled_fp8 is not None and "llama_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["llama_scaled_fp8"] = llama_scaled_fp8 + super().__init__(clip_l=clip_l, clip_g=clip_g, t5=t5, llama=llama, dtype_t5=dtype_t5, dtype_llama=dtype_llama, device=device, dtype=dtype, model_options=model_options) + return HiDreamTEModel_ diff --git a/comfy/text_encoders/hunyuan_image.py b/comfy/text_encoders/hunyuan_image.py new file mode 100644 index 0000000000000000000000000000000000000000..699eddc3336fe511efbafb1728f802ee1ac7f2ea --- /dev/null +++ b/comfy/text_encoders/hunyuan_image.py @@ -0,0 +1,97 @@ +from comfy import sd1_clip +import comfy.text_encoders.llama +from .qwen_image import QwenImageTokenizer, QwenImageTEModel +from transformers import ByT5Tokenizer +import os +import re + +class ByT5SmallTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "byt5_tokenizer") + super().__init__(tokenizer_path, pad_with_end=False, embedding_size=1472, embedding_key='byt5_small', tokenizer_class=ByT5Tokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, tokenizer_data=tokenizer_data) + +class HunyuanImageTokenizer(QwenImageTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.llama_template = "<|im_start|>system\nDescribe the image by detailing the color, shape, size, texture, quantity, text, spatial relationships of the objects and background:<|im_end|>\n<|im_start|>user\n{}<|im_end|>" + # self.llama_template_images = "{}" + self.byt5 = ByT5SmallTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = super().tokenize_with_weights(text, return_word_ids, **kwargs) + + # ByT5 processing for HunyuanImage + text_prompt_texts = [] + pattern_quote_double = r'\"(.*?)\"' + pattern_quote_chinese_single = r'‘(.*?)’' + pattern_quote_chinese_double = r'“(.*?)”' + + matches_quote_double = re.findall(pattern_quote_double, text) + matches_quote_chinese_single = re.findall(pattern_quote_chinese_single, text) + matches_quote_chinese_double = re.findall(pattern_quote_chinese_double, text) + + text_prompt_texts.extend(matches_quote_double) + text_prompt_texts.extend(matches_quote_chinese_single) + text_prompt_texts.extend(matches_quote_chinese_double) + + if len(text_prompt_texts) > 0: + out['byt5'] = self.byt5.tokenize_with_weights(''.join(map(lambda a: 'Text "{}". '.format(a), text_prompt_texts)), return_word_ids, **kwargs) + return out + +class Qwen25_7BVLIModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="hidden", layer_idx=-3, dtype=None, attention_mask=True, model_options={}): + llama_scaled_fp8 = model_options.get("qwen_scaled_fp8", None) + if llama_scaled_fp8 is not None: + model_options = model_options.copy() + model_options["scaled_fp8"] = llama_scaled_fp8 + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"pad": 151643}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Qwen25_7BVLI, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) + + +class ByT5SmallModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "byt5_config_small_glyph.json") + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, model_options=model_options, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=True) + + +class HunyuanImageTEModel(QwenImageTEModel): + def __init__(self, byt5=True, device="cpu", dtype=None, model_options={}): + super(QwenImageTEModel, self).__init__(device=device, dtype=dtype, name="qwen25_7b", clip_model=Qwen25_7BVLIModel, model_options=model_options) + + if byt5: + self.byt5_small = ByT5SmallModel(device=device, dtype=dtype, model_options=model_options) + else: + self.byt5_small = None + + def encode_token_weights(self, token_weight_pairs): + cond, p, extra = super().encode_token_weights(token_weight_pairs) + if self.byt5_small is not None and "byt5" in token_weight_pairs: + out = self.byt5_small.encode_token_weights(token_weight_pairs["byt5"]) + extra["conditioning_byt5small"] = out[0] + return cond, p, extra + + def set_clip_options(self, options): + super().set_clip_options(options) + if self.byt5_small is not None: + self.byt5_small.set_clip_options(options) + + def reset_clip_options(self): + super().reset_clip_options() + if self.byt5_small is not None: + self.byt5_small.reset_clip_options() + + def load_sd(self, sd): + if "encoder.block.0.layer.0.SelfAttention.o.weight" in sd: + return self.byt5_small.load_sd(sd) + else: + return super().load_sd(sd) + +def te(byt5=True, dtype_llama=None, llama_scaled_fp8=None): + class QwenImageTEModel_(HunyuanImageTEModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if llama_scaled_fp8 is not None and "scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["qwen_scaled_fp8"] = llama_scaled_fp8 + if dtype_llama is not None: + dtype = dtype_llama + super().__init__(byt5=byt5, device=device, dtype=dtype, model_options=model_options) + return QwenImageTEModel_ diff --git a/comfy/text_encoders/hunyuan_video.py b/comfy/text_encoders/hunyuan_video.py new file mode 100644 index 0000000000000000000000000000000000000000..b02148b3346db8463b471d83542a59071f7d15e4 --- /dev/null +++ b/comfy/text_encoders/hunyuan_video.py @@ -0,0 +1,159 @@ +from comfy import sd1_clip +import comfy.model_management +import comfy.text_encoders.llama +from transformers import LlamaTokenizerFast +import torch +import os +import numbers + + +def llama_detect(state_dict, prefix=""): + out = {} + t5_key = "{}model.norm.weight".format(prefix) + if t5_key in state_dict: + out["dtype_llama"] = state_dict[t5_key].dtype + + scaled_fp8_key = "{}scaled_fp8".format(prefix) + if scaled_fp8_key in state_dict: + out["llama_scaled_fp8"] = state_dict[scaled_fp8_key].dtype + + return out + + +class LLAMA3Tokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}, min_length=256, pad_token=128258): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "llama_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='llama', tokenizer_class=LlamaTokenizerFast, has_start_token=True, has_end_token=False, pad_to_max_length=False, max_length=99999999, pad_token=pad_token, min_length=min_length, tokenizer_data=tokenizer_data) + +class LLAMAModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="hidden", layer_idx=-3, dtype=None, attention_mask=True, model_options={}, special_tokens={"start": 128000, "pad": 128258}): + llama_scaled_fp8 = model_options.get("llama_scaled_fp8", None) + if llama_scaled_fp8 is not None: + model_options = model_options.copy() + model_options["scaled_fp8"] = llama_scaled_fp8 + + textmodel_json_config = {} + vocab_size = model_options.get("vocab_size", None) + if vocab_size is not None: + textmodel_json_config["vocab_size"] = vocab_size + + model_options = {**model_options, "model_name": "llama"} + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens=special_tokens, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Llama2, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) + + +class HunyuanVideoTokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.llama_template = """<|start_header_id|>system<|end_header_id|>\n\nDescribe the video by detailing the following aspects: 1. The main content and theme of the video.2. The color, shape, size, texture, quantity, text, and spatial relationships of the objects.3. Actions, events, behaviors temporal relationships, physical movement changes of the objects.4. background environment, light, style and atmosphere.5. camera angles, movements, and transitions used in the video:<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|>""" # 95 tokens + self.llama = LLAMA3Tokenizer(embedding_directory=embedding_directory, min_length=1, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text, return_word_ids=False, llama_template=None, image_embeds=None, image_interleave=1, **kwargs): + out = {} + out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids, **kwargs) + + if llama_template is None: + llama_text = self.llama_template.format(text) + else: + llama_text = llama_template.format(text) + llama_text_tokens = self.llama.tokenize_with_weights(llama_text, return_word_ids, **kwargs) + embed_count = 0 + for r in llama_text_tokens: + for i in range(len(r)): + if r[i][0] == 128257: + if image_embeds is not None and embed_count < image_embeds.shape[0]: + r[i] = ({"type": "embedding", "data": image_embeds[embed_count], "original_type": "image", "image_interleave": image_interleave},) + r[i][1:] + embed_count += 1 + out["llama"] = llama_text_tokens + return out + + def untokenize(self, token_weight_pair): + return self.clip_l.untokenize(token_weight_pair) + + def state_dict(self): + return {} + + +class HunyuanVideoClipModel(torch.nn.Module): + def __init__(self, dtype_llama=None, device="cpu", dtype=None, model_options={}): + super().__init__() + dtype_llama = comfy.model_management.pick_weight_dtype(dtype_llama, dtype, device) + self.clip_l = sd1_clip.SDClipModel(device=device, dtype=dtype, return_projected_pooled=False, model_options=model_options) + self.llama = LLAMAModel(device=device, dtype=dtype_llama, model_options=model_options) + self.dtypes = set([dtype, dtype_llama]) + + def set_clip_options(self, options): + self.clip_l.set_clip_options(options) + self.llama.set_clip_options(options) + + def reset_clip_options(self): + self.clip_l.reset_clip_options() + self.llama.reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs_l = token_weight_pairs["l"] + token_weight_pairs_llama = token_weight_pairs["llama"] + + llama_out, llama_pooled, llama_extra_out = self.llama.encode_token_weights(token_weight_pairs_llama) + + template_end = 0 + extra_template_end = 0 + extra_sizes = 0 + user_end = 9999999999999 + images = [] + + tok_pairs = token_weight_pairs_llama[0] + for i, v in enumerate(tok_pairs): + elem = v[0] + if not torch.is_tensor(elem): + if isinstance(elem, numbers.Integral): + if elem == 128006: + if tok_pairs[i + 1][0] == 882: + if tok_pairs[i + 2][0] == 128007: + template_end = i + 2 + user_end = -1 + if elem == 128009 and user_end == -1: + user_end = i + 1 + else: + if elem.get("original_type") == "image": + elem_size = elem.get("data").shape[0] + if template_end > 0: + if user_end == -1: + extra_template_end += elem_size - 1 + else: + image_start = i + extra_sizes + image_end = i + elem_size + extra_sizes + images.append((image_start, image_end, elem.get("image_interleave", 1))) + extra_sizes += elem_size - 1 + + if llama_out.shape[1] > (template_end + 2): + if tok_pairs[template_end + 1][0] == 271: + template_end += 2 + llama_output = llama_out[:, template_end + extra_sizes:user_end + extra_sizes + extra_template_end] + llama_extra_out["attention_mask"] = llama_extra_out["attention_mask"][:, template_end + extra_sizes:user_end + extra_sizes + extra_template_end] + if llama_extra_out["attention_mask"].sum() == torch.numel(llama_extra_out["attention_mask"]): + llama_extra_out.pop("attention_mask") # attention mask is useless if no masked elements + + if len(images) > 0: + out = [] + for i in images: + out.append(llama_out[:, i[0]: i[1]: i[2]]) + llama_output = torch.cat(out + [llama_output], dim=1) + + l_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l) + return llama_output, l_pooled, llama_extra_out + + def load_sd(self, sd): + if "text_model.encoder.layers.1.mlp.fc1.weight" in sd: + return self.clip_l.load_sd(sd) + else: + return self.llama.load_sd(sd) + + +def hunyuan_video_clip(dtype_llama=None, llama_scaled_fp8=None): + class HunyuanVideoClipModel_(HunyuanVideoClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if llama_scaled_fp8 is not None and "llama_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["llama_scaled_fp8"] = llama_scaled_fp8 + super().__init__(dtype_llama=dtype_llama, device=device, dtype=dtype, model_options=model_options) + return HunyuanVideoClipModel_ diff --git a/comfy/text_encoders/hydit.py b/comfy/text_encoders/hydit.py new file mode 100644 index 0000000000000000000000000000000000000000..ac6994529acd8493e6ec65a975f8984fd06749e8 --- /dev/null +++ b/comfy/text_encoders/hydit.py @@ -0,0 +1,81 @@ +from comfy import sd1_clip +from transformers import BertTokenizer +from .spiece_tokenizer import SPieceTokenizer +from .bert import BertModel +import comfy.text_encoders.t5 +import os +import torch + +class HyditBertModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "hydit_clip.json") + model_options = {**model_options, "model_name": "hydit_clip"} + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"start": 101, "end": 102, "pad": 0}, model_class=BertModel, enable_attention_masks=True, return_attention_masks=True, model_options=model_options) + +class HyditBertTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "hydit_clip_tokenizer") + super().__init__(tokenizer_path, pad_with_end=False, embedding_size=1024, embedding_key='chinese_roberta', tokenizer_class=BertTokenizer, pad_to_max_length=False, max_length=512, min_length=77, tokenizer_data=tokenizer_data) + + +class MT5XLModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "mt5_config_xl.json") + model_options = {**model_options, "model_name": "mt5xl"} + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, return_attention_masks=True, model_options=model_options) + +class MT5XLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + #tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "mt5_tokenizer"), "spiece.model") + tokenizer = tokenizer_data.get("spiece_model", None) + super().__init__(tokenizer, pad_with_end=False, embedding_size=2048, embedding_key='mt5xl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, tokenizer_data=tokenizer_data) + + def state_dict(self): + return {"spiece_model": self.tokenizer.serialize_model()} + +class HyditTokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + mt5_tokenizer_data = tokenizer_data.get("mt5xl.spiece_model", None) + self.hydit_clip = HyditBertTokenizer(embedding_directory=embedding_directory) + self.mt5xl = MT5XLTokenizer(tokenizer_data={**tokenizer_data, "spiece_model": mt5_tokenizer_data}, embedding_directory=embedding_directory) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out["hydit_clip"] = self.hydit_clip.tokenize_with_weights(text, return_word_ids, **kwargs) + out["mt5xl"] = self.mt5xl.tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return self.hydit_clip.untokenize(token_weight_pair) + + def state_dict(self): + return {"mt5xl.spiece_model": self.mt5xl.state_dict()["spiece_model"]} + +class HyditModel(torch.nn.Module): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__() + self.hydit_clip = HyditBertModel(dtype=dtype, model_options=model_options) + self.mt5xl = MT5XLModel(dtype=dtype, model_options=model_options) + + self.dtypes = set() + if dtype is not None: + self.dtypes.add(dtype) + + def encode_token_weights(self, token_weight_pairs): + hydit_out = self.hydit_clip.encode_token_weights(token_weight_pairs["hydit_clip"]) + mt5_out = self.mt5xl.encode_token_weights(token_weight_pairs["mt5xl"]) + return hydit_out[0], hydit_out[1], {"attention_mask": hydit_out[2]["attention_mask"], "conditioning_mt5xl": mt5_out[0], "attention_mask_mt5xl": mt5_out[2]["attention_mask"]} + + def load_sd(self, sd): + if "bert.encoder.layer.0.attention.self.query.weight" in sd: + return self.hydit_clip.load_sd(sd) + else: + return self.mt5xl.load_sd(sd) + + def set_clip_options(self, options): + self.hydit_clip.set_clip_options(options) + self.mt5xl.set_clip_options(options) + + def reset_clip_options(self): + self.hydit_clip.reset_clip_options() + self.mt5xl.reset_clip_options() diff --git a/comfy/text_encoders/hydit_clip.json b/comfy/text_encoders/hydit_clip.json new file mode 100644 index 0000000000000000000000000000000000000000..c41c7c1ff376407f42e3ff20ab26faaa98bb5e65 --- /dev/null +++ b/comfy/text_encoders/hydit_clip.json @@ -0,0 +1,35 @@ +{ + "_name_or_path": "hfl/chinese-roberta-wwm-ext-large", + "architectures": [ + "BertModel" + ], + "attention_probs_dropout_prob": 0.1, + "bos_token_id": 0, + "classifier_dropout": null, + "directionality": "bidi", + "eos_token_id": 2, + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-12, + "max_position_embeddings": 512, + "model_type": "bert", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "output_past": true, + "pad_token_id": 0, + "pooler_fc_size": 768, + "pooler_num_attention_heads": 12, + "pooler_num_fc_layers": 3, + "pooler_size_per_head": 128, + "pooler_type": "first_token_transform", + "position_embedding_type": "absolute", + "torch_dtype": "float32", + "transformers_version": "4.22.1", + "type_vocab_size": 2, + "use_cache": true, + "vocab_size": 47020 +} + diff --git a/comfy/text_encoders/hydit_clip_tokenizer/special_tokens_map.json b/comfy/text_encoders/hydit_clip_tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..a8b3208c2884c4efb86e49300fdd3dc877220cdf --- /dev/null +++ b/comfy/text_encoders/hydit_clip_tokenizer/special_tokens_map.json @@ -0,0 +1,7 @@ +{ + "cls_token": "[CLS]", + "mask_token": "[MASK]", + "pad_token": "[PAD]", + "sep_token": "[SEP]", + "unk_token": "[UNK]" +} diff --git a/comfy/text_encoders/hydit_clip_tokenizer/tokenizer_config.json b/comfy/text_encoders/hydit_clip_tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..a14356073e11a885074a7cdbddc749463cefd911 --- /dev/null +++ b/comfy/text_encoders/hydit_clip_tokenizer/tokenizer_config.json @@ -0,0 +1,16 @@ +{ + "cls_token": "[CLS]", + "do_basic_tokenize": true, + "do_lower_case": true, + "mask_token": "[MASK]", + "name_or_path": "hfl/chinese-roberta-wwm-ext", + "never_split": null, + "pad_token": "[PAD]", + "sep_token": "[SEP]", + "special_tokens_map_file": "/home/chenweifeng/.cache/huggingface/hub/models--hfl--chinese-roberta-wwm-ext/snapshots/5c58d0b8ec1d9014354d691c538661bf00bfdb44/special_tokens_map.json", + "strip_accents": null, + "tokenize_chinese_chars": true, + "tokenizer_class": "BertTokenizer", + "unk_token": "[UNK]", + "model_max_length": 77 +} diff --git a/comfy/text_encoders/hydit_clip_tokenizer/vocab.txt b/comfy/text_encoders/hydit_clip_tokenizer/vocab.txt new file mode 100644 index 0000000000000000000000000000000000000000..6246906805d02aca01714c71e4c8d77b69a7a131 --- /dev/null +++ b/comfy/text_encoders/hydit_clip_tokenizer/vocab.txt @@ -0,0 +1,47020 @@ +[PAD] +[unused1] +[unused2] +[unused3] +[unused4] +[unused5] +[unused6] +[unused7] +[unused8] +[unused9] +[unused10] +[unused11] +[unused12] +[unused13] +[unused14] +[unused15] +[unused16] +[unused17] +[unused18] +[unused19] +[unused20] +[unused21] +[unused22] +[unused23] +[unused24] +[unused25] +[unused26] +[unused27] +[unused28] +[unused29] +[unused30] +[unused31] +[unused32] +[unused33] +[unused34] +[unused35] +[unused36] +[unused37] +[unused38] +[unused39] +[unused40] +[unused41] +[unused42] +[unused43] +[unused44] +[unused45] +[unused46] +[unused47] +[unused48] +[unused49] +[unused50] +[unused51] +[unused52] +[unused53] +[unused54] +[unused55] +[unused56] +[unused57] +[unused58] +[unused59] +[unused60] +[unused61] +[unused62] +[unused63] +[unused64] +[unused65] +[unused66] +[unused67] +[unused68] +[unused69] +[unused70] +[unused71] +[unused72] +[unused73] +[unused74] +[unused75] +[unused76] +[unused77] +[unused78] +[unused79] +[unused80] +[unused81] +[unused82] +[unused83] +[unused84] +[unused85] +[unused86] +[unused87] +[unused88] +[unused89] +[unused90] +[unused91] +[unused92] +[unused93] +[unused94] +[unused95] +[unused96] +[unused97] +[unused98] +[unused99] +[UNK] +[CLS] +[SEP] +[MASK] + + +! +" +# +$ +% +& +' +( +) +* ++ +, +- +. +/ +0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +: +; +< += +> +? +@ +[ +\ +] +^ +_ +a +b +c +d +e +f +g +h +i +j +k +l +m +n +o +p +q +r +s +t +u +v +w +x +y +z +{ +| +} +~ +£ +¤ +¥ +§ +© +« +® +° +± +² +³ +µ +· +¹ +º +» +¼ +× +ß +æ +÷ +ø +đ +ŋ +ɔ +ə +ɡ +ʰ +ˇ +ˈ +ˊ +ˋ +ˍ +ː +˙ +˚ +ˢ +α +β +γ +δ +ε +η +θ +ι +κ +λ +μ +ν +ο +π +ρ +ς +σ +τ +υ +φ +χ +ψ +ω +а +б +в +г +д +е +ж +з +и +к +л +м +н +о +п +р +с +т +у +ф +х +ц +ч +ш +ы +ь +я +і +ا +ب +ة +ت +د +ر +س +ع +ل +م +ن +ه +و +ي +۩ +ก +ง +น +ม +ย +ร +อ +า +เ +๑ +་ +ღ +ᄀ +ᄁ +ᄂ +ᄃ +ᄅ +ᄆ +ᄇ +ᄈ +ᄉ +ᄋ +ᄌ +ᄎ +ᄏ +ᄐ +ᄑ +ᄒ +ᅡ +ᅢ +ᅣ +ᅥ +ᅦ +ᅧ +ᅨ +ᅩ +ᅪ +ᅬ +ᅭ +ᅮ +ᅯ +ᅲ +ᅳ +ᅴ +ᅵ +ᆨ +ᆫ +ᆯ +ᆷ +ᆸ +ᆺ +ᆻ +ᆼ +ᗜ +ᵃ +ᵉ +ᵍ +ᵏ +ᵐ +ᵒ +ᵘ +‖ +„ +† +• +‥ +‧ +
 +‰ +′ +″ +‹ +› +※ +‿ +⁄ +ⁱ +⁺ +ⁿ +₁ +₂ +₃ +₄ +€ +℃ +№ +™ +ⅰ +ⅱ +ⅲ +ⅳ +ⅴ +← +↑ +→ +↓ +↔ +↗ +↘ +⇒ +∀ +− +∕ +∙ +√ +∞ +∟ +∠ +∣ +∥ +∩ +∮ +∶ +∼ +∽ +≈ +≒ +≡ +≤ +≥ +≦ +≧ +≪ +≫ +⊙ +⋅ +⋈ +⋯ +⌒ +① +② +③ +④ +⑤ +⑥ +⑦ +⑧ +⑨ +⑩ +⑴ +⑵ +⑶ +⑷ +⑸ +⒈ +⒉ +⒊ +⒋ +ⓒ +ⓔ +ⓘ +─ +━ +│ +┃ +┅ +┆ +┊ +┌ +└ +├ +┣ +═ +║ +╚ +╞ +╠ +╭ +╮ +╯ +╰ +╱ +╳ +▂ +▃ +▅ +▇ +█ +▉ +▋ +▌ +▍ +▎ +■ +□ +▪ +▫ +▬ +▲ +△ +▶ +► +▼ +▽ +◆ +◇ +○ +◎ +● +◕ +◠ +◢ +◤ +☀ +★ +☆ +☕ +☞ +☺ +☼ +♀ +♂ +♠ +♡ +♣ +♥ +♦ +♪ +♫ +♬ +✈ +✔ +✕ +✖ +✦ +✨ +✪ +✰ +✿ +❀ +❤ +➜ +➤ +⦿ +、 +。 +〃 +々 +〇 +〈 +〉 +《 +》 +「 +」 +『 +』 +【 +】 +〓 +〔 +〕 +〖 +〗 +〜 +〝 +〞 +ぁ +あ +ぃ +い +う +ぇ +え +お +か +き +く +け +こ +さ +し +す +せ +そ +た +ち +っ +つ +て +と +な +に +ぬ +ね +の +は +ひ +ふ +へ +ほ +ま +み +む +め +も +ゃ +や +ゅ +ゆ +ょ +よ +ら +り +る +れ +ろ +わ +を +ん +゜ +ゝ +ァ +ア +ィ +イ +ゥ +ウ +ェ +エ +ォ +オ +カ +キ +ク +ケ +コ +サ +シ +ス +セ +ソ +タ +チ +ッ +ツ +テ +ト +ナ +ニ +ヌ +ネ +ノ +ハ +ヒ +フ +ヘ +ホ +マ +ミ +ム +メ +モ +ャ +ヤ +ュ +ユ +ョ +ヨ +ラ +リ +ル +レ +ロ +ワ +ヲ +ン +ヶ +・ +ー +ヽ +ㄅ +ㄆ +ㄇ +ㄉ +ㄋ +ㄌ +ㄍ +ㄎ +ㄏ +ㄒ +ㄚ +ㄛ +ㄞ +ㄟ +ㄢ +ㄤ +ㄥ +ㄧ +ㄨ +ㆍ +㈦ +㊣ +㎡ +㗎 +一 +丁 +七 +万 +丈 +三 +上 +下 +不 +与 +丐 +丑 +专 +且 +丕 +世 +丘 +丙 +业 +丛 +东 +丝 +丞 +丟 +両 +丢 +两 +严 +並 +丧 +丨 +个 +丫 +中 +丰 +串 +临 +丶 +丸 +丹 +为 +主 +丼 +丽 +举 +丿 +乂 +乃 +久 +么 +义 +之 +乌 +乍 +乎 +乏 +乐 +乒 +乓 +乔 +乖 +乗 +乘 +乙 +乜 +九 +乞 +也 +习 +乡 +书 +乩 +买 +乱 +乳 +乾 +亀 +亂 +了 +予 +争 +事 +二 +于 +亏 +云 +互 +五 +井 +亘 +亙 +亚 +些 +亜 +亞 +亟 +亡 +亢 +交 +亥 +亦 +产 +亨 +亩 +享 +京 +亭 +亮 +亲 +亳 +亵 +人 +亿 +什 +仁 +仃 +仄 +仅 +仆 +仇 +今 +介 +仍 +从 +仏 +仑 +仓 +仔 +仕 +他 +仗 +付 +仙 +仝 +仞 +仟 +代 +令 +以 +仨 +仪 +们 +仮 +仰 +仲 +件 +价 +任 +份 +仿 +企 +伉 +伊 +伍 +伎 +伏 +伐 +休 +伕 +众 +优 +伙 +会 +伝 +伞 +伟 +传 +伢 +伤 +伦 +伪 +伫 +伯 +估 +伴 +伶 +伸 +伺 +似 +伽 +佃 +但 +佇 +佈 +位 +低 +住 +佐 +佑 +体 +佔 +何 +佗 +佘 +余 +佚 +佛 +作 +佝 +佞 +佟 +你 +佢 +佣 +佤 +佥 +佩 +佬 +佯 +佰 +佳 +併 +佶 +佻 +佼 +使 +侃 +侄 +來 +侈 +例 +侍 +侏 +侑 +侖 +侗 +供 +依 +侠 +価 +侣 +侥 +侦 +侧 +侨 +侬 +侮 +侯 +侵 +侶 +侷 +便 +係 +促 +俄 +俊 +俎 +俏 +俐 +俑 +俗 +俘 +俚 +保 +俞 +俟 +俠 +信 +俨 +俩 +俪 +俬 +俭 +修 +俯 +俱 +俳 +俸 +俺 +俾 +倆 +倉 +個 +倌 +倍 +倏 +們 +倒 +倔 +倖 +倘 +候 +倚 +倜 +借 +倡 +値 +倦 +倩 +倪 +倫 +倬 +倭 +倶 +债 +值 +倾 +偃 +假 +偈 +偉 +偌 +偎 +偏 +偕 +做 +停 +健 +側 +偵 +偶 +偷 +偻 +偽 +偿 +傀 +傅 +傍 +傑 +傘 +備 +傚 +傢 +傣 +傥 +储 +傩 +催 +傭 +傲 +傳 +債 +傷 +傻 +傾 +僅 +働 +像 +僑 +僕 +僖 +僚 +僥 +僧 +僭 +僮 +僱 +僵 +價 +僻 +儀 +儂 +億 +儆 +儉 +儋 +儒 +儕 +儘 +償 +儡 +優 +儲 +儷 +儼 +儿 +兀 +允 +元 +兄 +充 +兆 +兇 +先 +光 +克 +兌 +免 +児 +兑 +兒 +兔 +兖 +党 +兜 +兢 +入 +內 +全 +兩 +八 +公 +六 +兮 +兰 +共 +兲 +关 +兴 +兵 +其 +具 +典 +兹 +养 +兼 +兽 +冀 +内 +円 +冇 +冈 +冉 +冊 +册 +再 +冏 +冒 +冕 +冗 +写 +军 +农 +冠 +冢 +冤 +冥 +冨 +冪 +冬 +冯 +冰 +冲 +决 +况 +冶 +冷 +冻 +冼 +冽 +冾 +净 +凄 +准 +凇 +凈 +凉 +凋 +凌 +凍 +减 +凑 +凛 +凜 +凝 +几 +凡 +凤 +処 +凪 +凭 +凯 +凰 +凱 +凳 +凶 +凸 +凹 +出 +击 +函 +凿 +刀 +刁 +刃 +分 +切 +刈 +刊 +刍 +刎 +刑 +划 +列 +刘 +则 +刚 +创 +初 +删 +判 +別 +刨 +利 +刪 +别 +刮 +到 +制 +刷 +券 +刹 +刺 +刻 +刽 +剁 +剂 +剃 +則 +剉 +削 +剋 +剌 +前 +剎 +剐 +剑 +剔 +剖 +剛 +剜 +剝 +剣 +剤 +剥 +剧 +剩 +剪 +副 +割 +創 +剷 +剽 +剿 +劃 +劇 +劈 +劉 +劊 +劍 +劏 +劑 +力 +劝 +办 +功 +加 +务 +劣 +动 +助 +努 +劫 +劭 +励 +劲 +劳 +労 +劵 +効 +劾 +势 +勁 +勃 +勇 +勉 +勋 +勐 +勒 +動 +勖 +勘 +務 +勛 +勝 +勞 +募 +勢 +勤 +勧 +勳 +勵 +勸 +勺 +勻 +勾 +勿 +匀 +包 +匆 +匈 +匍 +匐 +匕 +化 +北 +匙 +匝 +匠 +匡 +匣 +匪 +匮 +匯 +匱 +匹 +区 +医 +匾 +匿 +區 +十 +千 +卅 +升 +午 +卉 +半 +卍 +华 +协 +卑 +卒 +卓 +協 +单 +卖 +南 +単 +博 +卜 +卞 +卟 +占 +卡 +卢 +卤 +卦 +卧 +卫 +卮 +卯 +印 +危 +即 +却 +卵 +卷 +卸 +卻 +卿 +厂 +厄 +厅 +历 +厉 +压 +厌 +厕 +厘 +厚 +厝 +原 +厢 +厥 +厦 +厨 +厩 +厭 +厮 +厲 +厳 +去 +县 +叁 +参 +參 +又 +叉 +及 +友 +双 +反 +収 +发 +叔 +取 +受 +变 +叙 +叛 +叟 +叠 +叡 +叢 +口 +古 +句 +另 +叨 +叩 +只 +叫 +召 +叭 +叮 +可 +台 +叱 +史 +右 +叵 +叶 +号 +司 +叹 +叻 +叼 +叽 +吁 +吃 +各 +吆 +合 +吉 +吊 +吋 +同 +名 +后 +吏 +吐 +向 +吒 +吓 +吕 +吖 +吗 +君 +吝 +吞 +吟 +吠 +吡 +否 +吧 +吨 +吩 +含 +听 +吭 +吮 +启 +吱 +吳 +吴 +吵 +吶 +吸 +吹 +吻 +吼 +吽 +吾 +呀 +呂 +呃 +呆 +呈 +告 +呋 +呎 +呐 +呓 +呕 +呗 +员 +呛 +呜 +呢 +呤 +呦 +周 +呱 +呲 +味 +呵 +呷 +呸 +呻 +呼 +命 +咀 +咁 +咂 +咄 +咆 +咋 +和 +咎 +咏 +咐 +咒 +咔 +咕 +咖 +咗 +咘 +咙 +咚 +咛 +咣 +咤 +咦 +咧 +咨 +咩 +咪 +咫 +咬 +咭 +咯 +咱 +咲 +咳 +咸 +咻 +咽 +咿 +哀 +品 +哂 +哄 +哆 +哇 +哈 +哉 +哋 +哌 +响 +哎 +哏 +哐 +哑 +哒 +哔 +哗 +哟 +員 +哥 +哦 +哧 +哨 +哩 +哪 +哭 +哮 +哲 +哺 +哼 +哽 +唁 +唄 +唆 +唇 +唉 +唏 +唐 +唑 +唔 +唠 +唤 +唧 +唬 +售 +唯 +唰 +唱 +唳 +唷 +唸 +唾 +啃 +啄 +商 +啉 +啊 +問 +啓 +啕 +啖 +啜 +啞 +啟 +啡 +啤 +啥 +啦 +啧 +啪 +啫 +啬 +啮 +啰 +啱 +啲 +啵 +啶 +啷 +啸 +啻 +啼 +啾 +喀 +喂 +喃 +善 +喆 +喇 +喉 +喊 +喋 +喎 +喏 +喔 +喘 +喙 +喚 +喜 +喝 +喟 +喧 +喪 +喫 +喬 +單 +喰 +喱 +喲 +喳 +喵 +営 +喷 +喹 +喺 +喻 +喽 +嗅 +嗆 +嗇 +嗎 +嗑 +嗒 +嗓 +嗔 +嗖 +嗚 +嗜 +嗝 +嗟 +嗡 +嗣 +嗤 +嗦 +嗨 +嗪 +嗬 +嗯 +嗰 +嗲 +嗳 +嗶 +嗷 +嗽 +嘀 +嘅 +嘆 +嘈 +嘉 +嘌 +嘍 +嘎 +嘔 +嘖 +嘗 +嘘 +嘚 +嘛 +嘜 +嘞 +嘟 +嘢 +嘣 +嘤 +嘧 +嘩 +嘭 +嘮 +嘯 +嘰 +嘱 +嘲 +嘴 +嘶 +嘸 +嘹 +嘻 +嘿 +噁 +噌 +噎 +噓 +噔 +噗 +噙 +噜 +噠 +噢 +噤 +器 +噩 +噪 +噬 +噱 +噴 +噶 +噸 +噹 +噻 +噼 +嚀 +嚇 +嚎 +嚏 +嚐 +嚓 +嚕 +嚟 +嚣 +嚥 +嚨 +嚮 +嚴 +嚷 +嚼 +囂 +囉 +囊 +囍 +囑 +囔 +囗 +囚 +四 +囝 +回 +囟 +因 +囡 +团 +団 +囤 +囧 +囪 +囫 +园 +困 +囱 +囲 +図 +围 +囹 +固 +国 +图 +囿 +圃 +圄 +圆 +圈 +國 +圍 +圏 +園 +圓 +圖 +團 +圜 +土 +圣 +圧 +在 +圩 +圭 +地 +圳 +场 +圻 +圾 +址 +坂 +均 +坊 +坍 +坎 +坏 +坐 +坑 +块 +坚 +坛 +坝 +坞 +坟 +坠 +坡 +坤 +坦 +坨 +坪 +坯 +坳 +坵 +坷 +垂 +垃 +垄 +型 +垒 +垚 +垛 +垠 +垢 +垣 +垦 +垩 +垫 +垭 +垮 +垵 +埂 +埃 +埋 +城 +埔 +埕 +埗 +域 +埠 +埤 +埵 +執 +埸 +培 +基 +埼 +堀 +堂 +堃 +堅 +堆 +堇 +堑 +堕 +堙 +堡 +堤 +堪 +堯 +堰 +報 +場 +堵 +堺 +堿 +塊 +塌 +塑 +塔 +塗 +塘 +塚 +塞 +塢 +塩 +填 +塬 +塭 +塵 +塾 +墀 +境 +墅 +墉 +墊 +墒 +墓 +増 +墘 +墙 +墜 +增 +墟 +墨 +墩 +墮 +墳 +墻 +墾 +壁 +壅 +壆 +壇 +壊 +壑 +壓 +壕 +壘 +壞 +壟 +壢 +壤 +壩 +士 +壬 +壮 +壯 +声 +売 +壳 +壶 +壹 +壺 +壽 +处 +备 +変 +复 +夏 +夔 +夕 +外 +夙 +多 +夜 +够 +夠 +夢 +夥 +大 +天 +太 +夫 +夭 +央 +夯 +失 +头 +夷 +夸 +夹 +夺 +夾 +奂 +奄 +奇 +奈 +奉 +奋 +奎 +奏 +奐 +契 +奔 +奕 +奖 +套 +奘 +奚 +奠 +奢 +奥 +奧 +奪 +奬 +奮 +女 +奴 +奶 +奸 +她 +好 +如 +妃 +妄 +妆 +妇 +妈 +妊 +妍 +妒 +妓 +妖 +妘 +妙 +妝 +妞 +妣 +妤 +妥 +妨 +妩 +妪 +妮 +妲 +妳 +妹 +妻 +妾 +姆 +姉 +姊 +始 +姍 +姐 +姑 +姒 +姓 +委 +姗 +姚 +姜 +姝 +姣 +姥 +姦 +姨 +姪 +姫 +姬 +姹 +姻 +姿 +威 +娃 +娄 +娅 +娆 +娇 +娉 +娑 +娓 +娘 +娛 +娜 +娟 +娠 +娣 +娥 +娩 +娱 +娲 +娴 +娶 +娼 +婀 +婁 +婆 +婉 +婊 +婕 +婚 +婢 +婦 +婧 +婪 +婭 +婴 +婵 +婶 +婷 +婺 +婿 +媒 +媚 +媛 +媞 +媧 +媲 +媳 +媽 +媾 +嫁 +嫂 +嫉 +嫌 +嫑 +嫔 +嫖 +嫘 +嫚 +嫡 +嫣 +嫦 +嫩 +嫲 +嫵 +嫻 +嬅 +嬉 +嬌 +嬗 +嬛 +嬢 +嬤 +嬪 +嬰 +嬴 +嬷 +嬸 +嬿 +孀 +孃 +子 +孑 +孔 +孕 +孖 +字 +存 +孙 +孚 +孛 +孜 +孝 +孟 +孢 +季 +孤 +学 +孩 +孪 +孫 +孬 +孰 +孱 +孳 +孵 +學 +孺 +孽 +孿 +宁 +它 +宅 +宇 +守 +安 +宋 +完 +宏 +宓 +宕 +宗 +官 +宙 +定 +宛 +宜 +宝 +实 +実 +宠 +审 +客 +宣 +室 +宥 +宦 +宪 +宫 +宮 +宰 +害 +宴 +宵 +家 +宸 +容 +宽 +宾 +宿 +寂 +寄 +寅 +密 +寇 +富 +寐 +寒 +寓 +寛 +寝 +寞 +察 +寡 +寢 +寥 +實 +寧 +寨 +審 +寫 +寬 +寮 +寰 +寵 +寶 +寸 +对 +寺 +寻 +导 +対 +寿 +封 +専 +射 +将 +將 +專 +尉 +尊 +尋 +對 +導 +小 +少 +尔 +尕 +尖 +尘 +尚 +尝 +尤 +尧 +尬 +就 +尴 +尷 +尸 +尹 +尺 +尻 +尼 +尽 +尾 +尿 +局 +屁 +层 +屄 +居 +屆 +屈 +屉 +届 +屋 +屌 +屍 +屎 +屏 +屐 +屑 +展 +屜 +属 +屠 +屡 +屢 +層 +履 +屬 +屯 +山 +屹 +屿 +岀 +岁 +岂 +岌 +岐 +岑 +岔 +岖 +岗 +岘 +岙 +岚 +岛 +岡 +岩 +岫 +岬 +岭 +岱 +岳 +岷 +岸 +峇 +峋 +峒 +峙 +峡 +峤 +峥 +峦 +峨 +峪 +峭 +峯 +峰 +峴 +島 +峻 +峽 +崁 +崂 +崆 +崇 +崎 +崑 +崔 +崖 +崗 +崙 +崛 +崧 +崩 +崭 +崴 +崽 +嵇 +嵊 +嵋 +嵌 +嵐 +嵘 +嵩 +嵬 +嵯 +嶂 +嶄 +嶇 +嶋 +嶙 +嶺 +嶼 +嶽 +巅 +巍 +巒 +巔 +巖 +川 +州 +巡 +巢 +工 +左 +巧 +巨 +巩 +巫 +差 +己 +已 +巳 +巴 +巷 +巻 +巽 +巾 +巿 +币 +市 +布 +帅 +帆 +师 +希 +帐 +帑 +帕 +帖 +帘 +帚 +帛 +帜 +帝 +帥 +带 +帧 +師 +席 +帮 +帯 +帰 +帳 +帶 +帷 +常 +帼 +帽 +幀 +幂 +幄 +幅 +幌 +幔 +幕 +幟 +幡 +幢 +幣 +幫 +干 +平 +年 +并 +幸 +幹 +幺 +幻 +幼 +幽 +幾 +广 +庁 +広 +庄 +庆 +庇 +床 +序 +庐 +库 +应 +底 +庖 +店 +庙 +庚 +府 +庞 +废 +庠 +度 +座 +庫 +庭 +庵 +庶 +康 +庸 +庹 +庾 +廁 +廂 +廃 +廈 +廉 +廊 +廓 +廖 +廚 +廝 +廟 +廠 +廢 +廣 +廬 +廳 +延 +廷 +建 +廿 +开 +弁 +异 +弃 +弄 +弈 +弊 +弋 +式 +弑 +弒 +弓 +弔 +引 +弗 +弘 +弛 +弟 +张 +弥 +弦 +弧 +弩 +弭 +弯 +弱 +張 +強 +弹 +强 +弼 +弾 +彅 +彆 +彈 +彌 +彎 +归 +当 +录 +彗 +彙 +彝 +形 +彤 +彥 +彦 +彧 +彩 +彪 +彫 +彬 +彭 +彰 +影 +彷 +役 +彻 +彼 +彿 +往 +征 +径 +待 +徇 +很 +徉 +徊 +律 +後 +徐 +徑 +徒 +従 +徕 +得 +徘 +徙 +徜 +從 +徠 +御 +徨 +復 +循 +徬 +微 +徳 +徴 +徵 +德 +徹 +徼 +徽 +心 +必 +忆 +忌 +忍 +忏 +忐 +忑 +忒 +忖 +志 +忘 +忙 +応 +忠 +忡 +忤 +忧 +忪 +快 +忱 +念 +忻 +忽 +忿 +怀 +态 +怂 +怅 +怆 +怎 +怏 +怒 +怔 +怕 +怖 +怙 +怜 +思 +怠 +怡 +急 +怦 +性 +怨 +怪 +怯 +怵 +总 +怼 +恁 +恃 +恆 +恋 +恍 +恐 +恒 +恕 +恙 +恚 +恢 +恣 +恤 +恥 +恨 +恩 +恪 +恫 +恬 +恭 +息 +恰 +恳 +恵 +恶 +恸 +恺 +恻 +恼 +恿 +悄 +悅 +悉 +悌 +悍 +悔 +悖 +悚 +悟 +悠 +患 +悦 +您 +悩 +悪 +悬 +悯 +悱 +悲 +悴 +悵 +悶 +悸 +悻 +悼 +悽 +情 +惆 +惇 +惊 +惋 +惑 +惕 +惘 +惚 +惜 +惟 +惠 +惡 +惦 +惧 +惨 +惩 +惫 +惬 +惭 +惮 +惯 +惰 +惱 +想 +惴 +惶 +惹 +惺 +愁 +愆 +愈 +愉 +愍 +意 +愕 +愚 +愛 +愜 +感 +愣 +愤 +愧 +愫 +愷 +愿 +慄 +慈 +態 +慌 +慎 +慑 +慕 +慘 +慚 +慟 +慢 +慣 +慧 +慨 +慫 +慮 +慰 +慳 +慵 +慶 +慷 +慾 +憂 +憊 +憋 +憎 +憐 +憑 +憔 +憚 +憤 +憧 +憨 +憩 +憫 +憬 +憲 +憶 +憾 +懂 +懇 +懈 +應 +懊 +懋 +懑 +懒 +懦 +懲 +懵 +懶 +懷 +懸 +懺 +懼 +懾 +懿 +戀 +戈 +戊 +戌 +戍 +戎 +戏 +成 +我 +戒 +戕 +或 +战 +戚 +戛 +戟 +戡 +戦 +截 +戬 +戮 +戰 +戲 +戳 +戴 +戶 +户 +戸 +戻 +戾 +房 +所 +扁 +扇 +扈 +扉 +手 +才 +扎 +扑 +扒 +打 +扔 +払 +托 +扛 +扣 +扦 +执 +扩 +扪 +扫 +扬 +扭 +扮 +扯 +扰 +扱 +扳 +扶 +批 +扼 +找 +承 +技 +抄 +抉 +把 +抑 +抒 +抓 +投 +抖 +抗 +折 +抚 +抛 +抜 +択 +抟 +抠 +抡 +抢 +护 +报 +抨 +披 +抬 +抱 +抵 +抹 +押 +抽 +抿 +拂 +拄 +担 +拆 +拇 +拈 +拉 +拋 +拌 +拍 +拎 +拐 +拒 +拓 +拔 +拖 +拗 +拘 +拙 +拚 +招 +拜 +拟 +拡 +拢 +拣 +拥 +拦 +拧 +拨 +择 +括 +拭 +拮 +拯 +拱 +拳 +拴 +拷 +拼 +拽 +拾 +拿 +持 +挂 +指 +挈 +按 +挎 +挑 +挖 +挙 +挚 +挛 +挝 +挞 +挟 +挠 +挡 +挣 +挤 +挥 +挨 +挪 +挫 +振 +挲 +挹 +挺 +挽 +挾 +捂 +捅 +捆 +捉 +捋 +捌 +捍 +捎 +捏 +捐 +捕 +捞 +损 +捡 +换 +捣 +捧 +捨 +捩 +据 +捱 +捲 +捶 +捷 +捺 +捻 +掀 +掂 +掃 +掇 +授 +掉 +掌 +掏 +掐 +排 +掖 +掘 +掙 +掛 +掠 +採 +探 +掣 +接 +控 +推 +掩 +措 +掬 +掰 +掲 +掳 +掴 +掷 +掸 +掺 +揀 +揃 +揄 +揆 +揉 +揍 +描 +提 +插 +揖 +揚 +換 +握 +揣 +揩 +揪 +揭 +揮 +援 +揶 +揸 +揹 +揽 +搀 +搁 +搂 +搅 +損 +搏 +搐 +搓 +搔 +搖 +搗 +搜 +搞 +搡 +搪 +搬 +搭 +搵 +搶 +携 +搽 +摀 +摁 +摄 +摆 +摇 +摈 +摊 +摒 +摔 +摘 +摞 +摟 +摧 +摩 +摯 +摳 +摸 +摹 +摺 +摻 +撂 +撃 +撅 +撇 +撈 +撐 +撑 +撒 +撓 +撕 +撚 +撞 +撤 +撥 +撩 +撫 +撬 +播 +撮 +撰 +撲 +撵 +撷 +撸 +撻 +撼 +撿 +擀 +擁 +擂 +擄 +擅 +擇 +擊 +擋 +操 +擎 +擒 +擔 +擘 +據 +擞 +擠 +擡 +擢 +擦 +擬 +擰 +擱 +擲 +擴 +擷 +擺 +擼 +擾 +攀 +攏 +攒 +攔 +攘 +攙 +攜 +攝 +攞 +攢 +攣 +攤 +攥 +攪 +攫 +攬 +支 +收 +攸 +改 +攻 +放 +政 +故 +效 +敌 +敍 +敎 +敏 +救 +敕 +敖 +敗 +敘 +教 +敛 +敝 +敞 +敢 +散 +敦 +敬 +数 +敲 +整 +敵 +敷 +數 +斂 +斃 +文 +斋 +斌 +斎 +斐 +斑 +斓 +斗 +料 +斛 +斜 +斟 +斡 +斤 +斥 +斧 +斩 +斫 +斬 +断 +斯 +新 +斷 +方 +於 +施 +旁 +旃 +旅 +旋 +旌 +旎 +族 +旖 +旗 +无 +既 +日 +旦 +旧 +旨 +早 +旬 +旭 +旮 +旱 +时 +旷 +旺 +旻 +昀 +昂 +昆 +昇 +昉 +昊 +昌 +明 +昏 +易 +昔 +昕 +昙 +星 +映 +春 +昧 +昨 +昭 +是 +昱 +昴 +昵 +昶 +昼 +显 +晁 +時 +晃 +晉 +晋 +晌 +晏 +晒 +晓 +晔 +晕 +晖 +晗 +晚 +晝 +晞 +晟 +晤 +晦 +晨 +晩 +普 +景 +晰 +晴 +晶 +晷 +智 +晾 +暂 +暄 +暇 +暈 +暉 +暌 +暐 +暑 +暖 +暗 +暝 +暢 +暧 +暨 +暫 +暮 +暱 +暴 +暸 +暹 +曄 +曆 +曇 +曉 +曖 +曙 +曜 +曝 +曠 +曦 +曬 +曰 +曲 +曳 +更 +書 +曹 +曼 +曾 +替 +最 +會 +月 +有 +朋 +服 +朐 +朔 +朕 +朗 +望 +朝 +期 +朦 +朧 +木 +未 +末 +本 +札 +朮 +术 +朱 +朴 +朵 +机 +朽 +杀 +杂 +权 +杆 +杈 +杉 +李 +杏 +材 +村 +杓 +杖 +杜 +杞 +束 +杠 +条 +来 +杨 +杭 +杯 +杰 +東 +杳 +杵 +杷 +杼 +松 +板 +极 +构 +枇 +枉 +枋 +析 +枕 +林 +枚 +果 +枝 +枢 +枣 +枪 +枫 +枭 +枯 +枰 +枱 +枳 +架 +枷 +枸 +柄 +柏 +某 +柑 +柒 +染 +柔 +柘 +柚 +柜 +柞 +柠 +柢 +查 +柩 +柬 +柯 +柱 +柳 +柴 +柵 +査 +柿 +栀 +栃 +栄 +栅 +标 +栈 +栉 +栋 +栎 +栏 +树 +栓 +栖 +栗 +校 +栩 +株 +样 +核 +根 +格 +栽 +栾 +桀 +桁 +桂 +桃 +桅 +框 +案 +桉 +桌 +桎 +桐 +桑 +桓 +桔 +桜 +桠 +桡 +桢 +档 +桥 +桦 +桧 +桨 +桩 +桶 +桿 +梁 +梅 +梆 +梏 +梓 +梗 +條 +梟 +梢 +梦 +梧 +梨 +梭 +梯 +械 +梳 +梵 +梶 +检 +棂 +棄 +棉 +棋 +棍 +棒 +棕 +棗 +棘 +棚 +棟 +棠 +棣 +棧 +森 +棱 +棲 +棵 +棹 +棺 +椁 +椅 +椋 +植 +椎 +椒 +検 +椪 +椭 +椰 +椹 +椽 +椿 +楂 +楊 +楓 +楔 +楚 +楝 +楞 +楠 +楣 +楨 +楫 +業 +楮 +極 +楷 +楸 +楹 +楼 +楽 +概 +榄 +榆 +榈 +榉 +榔 +榕 +榖 +榛 +榜 +榨 +榫 +榭 +榮 +榱 +榴 +榷 +榻 +槁 +槃 +構 +槌 +槍 +槎 +槐 +槓 +様 +槛 +槟 +槤 +槭 +槲 +槳 +槻 +槽 +槿 +樁 +樂 +樊 +樑 +樓 +標 +樞 +樟 +模 +樣 +権 +横 +樫 +樯 +樱 +樵 +樸 +樹 +樺 +樽 +樾 +橄 +橇 +橋 +橐 +橘 +橙 +機 +橡 +橢 +橫 +橱 +橹 +橼 +檀 +檄 +檎 +檐 +檔 +檗 +檜 +檢 +檬 +檯 +檳 +檸 +檻 +櫃 +櫚 +櫛 +櫥 +櫸 +櫻 +欄 +權 +欒 +欖 +欠 +次 +欢 +欣 +欧 +欲 +欸 +欺 +欽 +款 +歆 +歇 +歉 +歌 +歎 +歐 +歓 +歙 +歛 +歡 +止 +正 +此 +步 +武 +歧 +歩 +歪 +歯 +歲 +歳 +歴 +歷 +歸 +歹 +死 +歼 +殁 +殃 +殆 +殇 +殉 +殊 +残 +殒 +殓 +殖 +殘 +殞 +殡 +殤 +殭 +殯 +殲 +殴 +段 +殷 +殺 +殼 +殿 +毀 +毁 +毂 +毅 +毆 +毋 +母 +毎 +每 +毒 +毓 +比 +毕 +毗 +毘 +毙 +毛 +毡 +毫 +毯 +毽 +氈 +氏 +氐 +民 +氓 +气 +氖 +気 +氙 +氛 +氟 +氡 +氢 +氣 +氤 +氦 +氧 +氨 +氪 +氫 +氮 +氯 +氰 +氲 +水 +氷 +永 +氹 +氾 +汀 +汁 +求 +汆 +汇 +汉 +汎 +汐 +汕 +汗 +汙 +汛 +汝 +汞 +江 +池 +污 +汤 +汨 +汩 +汪 +汰 +汲 +汴 +汶 +汹 +決 +汽 +汾 +沁 +沂 +沃 +沅 +沈 +沉 +沌 +沏 +沐 +沒 +沓 +沖 +沙 +沛 +沟 +没 +沢 +沣 +沥 +沦 +沧 +沪 +沫 +沭 +沮 +沱 +河 +沸 +油 +治 +沼 +沽 +沾 +沿 +況 +泄 +泉 +泊 +泌 +泓 +法 +泗 +泛 +泞 +泠 +泡 +波 +泣 +泥 +注 +泪 +泫 +泮 +泯 +泰 +泱 +泳 +泵 +泷 +泸 +泻 +泼 +泽 +泾 +洁 +洄 +洋 +洒 +洗 +洙 +洛 +洞 +津 +洩 +洪 +洮 +洱 +洲 +洵 +洶 +洸 +洹 +活 +洼 +洽 +派 +流 +浃 +浄 +浅 +浆 +浇 +浊 +测 +济 +浏 +浑 +浒 +浓 +浔 +浙 +浚 +浜 +浣 +浦 +浩 +浪 +浬 +浮 +浯 +浴 +海 +浸 +涂 +涅 +涇 +消 +涉 +涌 +涎 +涓 +涔 +涕 +涙 +涛 +涝 +涞 +涟 +涠 +涡 +涣 +涤 +润 +涧 +涨 +涩 +涪 +涮 +涯 +液 +涵 +涸 +涼 +涿 +淀 +淄 +淅 +淆 +淇 +淋 +淌 +淑 +淒 +淖 +淘 +淙 +淚 +淞 +淡 +淤 +淦 +淨 +淩 +淪 +淫 +淬 +淮 +深 +淳 +淵 +混 +淹 +淺 +添 +淼 +清 +済 +渉 +渊 +渋 +渍 +渎 +渐 +渔 +渗 +渙 +渚 +減 +渝 +渠 +渡 +渣 +渤 +渥 +渦 +温 +測 +渭 +港 +渲 +渴 +游 +渺 +渾 +湃 +湄 +湊 +湍 +湖 +湘 +湛 +湟 +湧 +湫 +湮 +湯 +湳 +湾 +湿 +満 +溃 +溅 +溉 +溏 +源 +準 +溜 +溝 +溟 +溢 +溥 +溧 +溪 +溫 +溯 +溱 +溴 +溶 +溺 +溼 +滁 +滂 +滄 +滅 +滇 +滋 +滌 +滑 +滓 +滔 +滕 +滙 +滚 +滝 +滞 +滟 +满 +滢 +滤 +滥 +滦 +滨 +滩 +滬 +滯 +滲 +滴 +滷 +滸 +滾 +滿 +漁 +漂 +漆 +漉 +漏 +漓 +演 +漕 +漠 +漢 +漣 +漩 +漪 +漫 +漬 +漯 +漱 +漲 +漳 +漸 +漾 +漿 +潆 +潇 +潋 +潍 +潑 +潔 +潘 +潛 +潜 +潞 +潟 +潢 +潤 +潦 +潧 +潭 +潮 +潰 +潴 +潸 +潺 +潼 +澀 +澄 +澆 +澈 +澍 +澎 +澗 +澜 +澡 +澤 +澧 +澱 +澳 +澹 +激 +濁 +濂 +濃 +濑 +濒 +濕 +濘 +濛 +濟 +濠 +濡 +濤 +濫 +濬 +濮 +濯 +濱 +濺 +濾 +瀅 +瀆 +瀉 +瀋 +瀏 +瀑 +瀕 +瀘 +瀚 +瀛 +瀝 +瀞 +瀟 +瀧 +瀨 +瀬 +瀰 +瀾 +灌 +灏 +灑 +灘 +灝 +灞 +灣 +火 +灬 +灭 +灯 +灰 +灵 +灶 +灸 +灼 +災 +灾 +灿 +炀 +炁 +炅 +炉 +炊 +炎 +炒 +炔 +炕 +炖 +炙 +炜 +炫 +炬 +炭 +炮 +炯 +炳 +炷 +炸 +点 +為 +炼 +炽 +烁 +烂 +烃 +烈 +烊 +烏 +烘 +烙 +烛 +烟 +烤 +烦 +烧 +烨 +烩 +烫 +烬 +热 +烯 +烷 +烹 +烽 +焉 +焊 +焕 +焖 +焗 +焘 +焙 +焚 +焜 +無 +焦 +焯 +焰 +焱 +然 +焼 +煅 +煉 +煊 +煌 +煎 +煒 +煖 +煙 +煜 +煞 +煤 +煥 +煦 +照 +煨 +煩 +煮 +煲 +煸 +煽 +熄 +熊 +熏 +熒 +熔 +熙 +熟 +熠 +熨 +熬 +熱 +熵 +熹 +熾 +燁 +燃 +燄 +燈 +燉 +燊 +燎 +燒 +燔 +燕 +燙 +燜 +營 +燥 +燦 +燧 +燭 +燮 +燴 +燻 +燼 +燿 +爆 +爍 +爐 +爛 +爪 +爬 +爭 +爰 +爱 +爲 +爵 +父 +爷 +爸 +爹 +爺 +爻 +爽 +爾 +牆 +片 +版 +牌 +牍 +牒 +牙 +牛 +牝 +牟 +牠 +牡 +牢 +牦 +牧 +物 +牯 +牲 +牴 +牵 +特 +牺 +牽 +犀 +犁 +犄 +犊 +犍 +犒 +犢 +犧 +犬 +犯 +状 +犷 +犸 +犹 +狀 +狂 +狄 +狈 +狎 +狐 +狒 +狗 +狙 +狞 +狠 +狡 +狩 +独 +狭 +狮 +狰 +狱 +狸 +狹 +狼 +狽 +猎 +猕 +猖 +猗 +猙 +猛 +猜 +猝 +猥 +猩 +猪 +猫 +猬 +献 +猴 +猶 +猷 +猾 +猿 +獄 +獅 +獎 +獐 +獒 +獗 +獠 +獣 +獨 +獭 +獰 +獲 +獵 +獷 +獸 +獺 +獻 +獼 +獾 +玄 +率 +玉 +王 +玑 +玖 +玛 +玟 +玠 +玥 +玩 +玫 +玮 +环 +现 +玲 +玳 +玷 +玺 +玻 +珀 +珂 +珅 +珈 +珉 +珊 +珍 +珏 +珐 +珑 +珙 +珞 +珠 +珣 +珥 +珩 +珪 +班 +珮 +珲 +珺 +現 +球 +琅 +理 +琇 +琉 +琊 +琍 +琏 +琐 +琛 +琢 +琥 +琦 +琨 +琪 +琬 +琮 +琰 +琲 +琳 +琴 +琵 +琶 +琺 +琼 +瑀 +瑁 +瑄 +瑋 +瑕 +瑗 +瑙 +瑚 +瑛 +瑜 +瑞 +瑟 +瑠 +瑣 +瑤 +瑩 +瑪 +瑯 +瑰 +瑶 +瑾 +璀 +璁 +璃 +璇 +璉 +璋 +璎 +璐 +璜 +璞 +璟 +璧 +璨 +環 +璽 +璿 +瓊 +瓏 +瓒 +瓜 +瓢 +瓣 +瓤 +瓦 +瓮 +瓯 +瓴 +瓶 +瓷 +甄 +甌 +甕 +甘 +甙 +甚 +甜 +生 +產 +産 +甥 +甦 +用 +甩 +甫 +甬 +甭 +甯 +田 +由 +甲 +申 +电 +男 +甸 +町 +画 +甾 +畀 +畅 +界 +畏 +畑 +畔 +留 +畜 +畝 +畢 +略 +畦 +番 +畫 +異 +畲 +畳 +畴 +當 +畸 +畹 +畿 +疆 +疇 +疊 +疏 +疑 +疔 +疖 +疗 +疙 +疚 +疝 +疟 +疡 +疣 +疤 +疥 +疫 +疮 +疯 +疱 +疲 +疳 +疵 +疸 +疹 +疼 +疽 +疾 +痂 +病 +症 +痈 +痉 +痊 +痍 +痒 +痔 +痕 +痘 +痙 +痛 +痞 +痠 +痢 +痣 +痤 +痧 +痨 +痪 +痫 +痰 +痱 +痴 +痹 +痺 +痼 +痿 +瘀 +瘁 +瘋 +瘍 +瘓 +瘘 +瘙 +瘟 +瘠 +瘡 +瘢 +瘤 +瘦 +瘧 +瘩 +瘪 +瘫 +瘴 +瘸 +瘾 +療 +癇 +癌 +癒 +癖 +癜 +癞 +癡 +癢 +癣 +癥 +癫 +癬 +癮 +癱 +癲 +癸 +発 +登 +發 +白 +百 +皂 +的 +皆 +皇 +皈 +皋 +皎 +皑 +皓 +皖 +皙 +皚 +皮 +皰 +皱 +皴 +皺 +皿 +盂 +盃 +盅 +盆 +盈 +益 +盎 +盏 +盐 +监 +盒 +盔 +盖 +盗 +盘 +盛 +盜 +盞 +盟 +盡 +監 +盤 +盥 +盧 +盪 +目 +盯 +盱 +盲 +直 +相 +盹 +盼 +盾 +省 +眈 +眉 +看 +県 +眙 +眞 +真 +眠 +眦 +眨 +眩 +眯 +眶 +眷 +眸 +眺 +眼 +眾 +着 +睁 +睇 +睏 +睐 +睑 +睛 +睜 +睞 +睡 +睢 +督 +睥 +睦 +睨 +睪 +睫 +睬 +睹 +睽 +睾 +睿 +瞄 +瞅 +瞇 +瞋 +瞌 +瞎 +瞑 +瞒 +瞓 +瞞 +瞟 +瞠 +瞥 +瞧 +瞩 +瞪 +瞬 +瞭 +瞰 +瞳 +瞻 +瞼 +瞿 +矇 +矍 +矗 +矚 +矛 +矜 +矢 +矣 +知 +矩 +矫 +短 +矮 +矯 +石 +矶 +矽 +矾 +矿 +码 +砂 +砌 +砍 +砒 +研 +砖 +砗 +砚 +砝 +砣 +砥 +砧 +砭 +砰 +砲 +破 +砷 +砸 +砺 +砼 +砾 +础 +硅 +硐 +硒 +硕 +硝 +硫 +硬 +确 +硯 +硼 +碁 +碇 +碉 +碌 +碍 +碎 +碑 +碓 +碗 +碘 +碚 +碛 +碟 +碣 +碧 +碩 +碰 +碱 +碳 +碴 +確 +碼 +碾 +磁 +磅 +磊 +磋 +磐 +磕 +磚 +磡 +磨 +磬 +磯 +磲 +磷 +磺 +礁 +礎 +礙 +礡 +礦 +礪 +礫 +礴 +示 +礼 +社 +祀 +祁 +祂 +祇 +祈 +祉 +祎 +祐 +祕 +祖 +祗 +祚 +祛 +祜 +祝 +神 +祟 +祠 +祢 +祥 +票 +祭 +祯 +祷 +祸 +祺 +祿 +禀 +禁 +禄 +禅 +禍 +禎 +福 +禛 +禦 +禧 +禪 +禮 +禱 +禹 +禺 +离 +禽 +禾 +禿 +秀 +私 +秃 +秆 +秉 +秋 +种 +科 +秒 +秘 +租 +秣 +秤 +秦 +秧 +秩 +秭 +积 +称 +秸 +移 +秽 +稀 +稅 +程 +稍 +税 +稔 +稗 +稚 +稜 +稞 +稟 +稠 +稣 +種 +稱 +稲 +稳 +稷 +稹 +稻 +稼 +稽 +稿 +穀 +穂 +穆 +穌 +積 +穎 +穗 +穢 +穩 +穫 +穴 +究 +穷 +穹 +空 +穿 +突 +窃 +窄 +窈 +窍 +窑 +窒 +窓 +窕 +窖 +窗 +窘 +窜 +窝 +窟 +窠 +窥 +窦 +窨 +窩 +窪 +窮 +窯 +窺 +窿 +竄 +竅 +竇 +竊 +立 +竖 +站 +竜 +竞 +竟 +章 +竣 +童 +竭 +端 +競 +竹 +竺 +竽 +竿 +笃 +笆 +笈 +笋 +笏 +笑 +笔 +笙 +笛 +笞 +笠 +符 +笨 +第 +笹 +笺 +笼 +筆 +等 +筊 +筋 +筍 +筏 +筐 +筑 +筒 +答 +策 +筛 +筝 +筠 +筱 +筲 +筵 +筷 +筹 +签 +简 +箇 +箋 +箍 +箏 +箐 +箔 +箕 +算 +箝 +管 +箩 +箫 +箭 +箱 +箴 +箸 +節 +篁 +範 +篆 +篇 +築 +篑 +篓 +篙 +篝 +篠 +篡 +篤 +篩 +篪 +篮 +篱 +篷 +簇 +簌 +簍 +簡 +簦 +簧 +簪 +簫 +簷 +簸 +簽 +簾 +簿 +籁 +籃 +籌 +籍 +籐 +籟 +籠 +籤 +籬 +籮 +籲 +米 +类 +籼 +籽 +粄 +粉 +粑 +粒 +粕 +粗 +粘 +粟 +粤 +粥 +粧 +粪 +粮 +粱 +粲 +粳 +粵 +粹 +粼 +粽 +精 +粿 +糅 +糊 +糍 +糕 +糖 +糗 +糙 +糜 +糞 +糟 +糠 +糧 +糬 +糯 +糰 +糸 +系 +糾 +紀 +紂 +約 +紅 +紉 +紊 +紋 +納 +紐 +紓 +純 +紗 +紘 +紙 +級 +紛 +紜 +素 +紡 +索 +紧 +紫 +紮 +累 +細 +紳 +紹 +紺 +終 +絃 +組 +絆 +経 +結 +絕 +絞 +絡 +絢 +給 +絨 +絮 +統 +絲 +絳 +絵 +絶 +絹 +綁 +綏 +綑 +經 +継 +続 +綜 +綠 +綢 +綦 +綫 +綬 +維 +綱 +網 +綴 +綵 +綸 +綺 +綻 +綽 +綾 +綿 +緊 +緋 +総 +緑 +緒 +緘 +線 +緝 +緞 +締 +緣 +編 +緩 +緬 +緯 +練 +緹 +緻 +縁 +縄 +縈 +縛 +縝 +縣 +縫 +縮 +縱 +縴 +縷 +總 +績 +繁 +繃 +繆 +繇 +繋 +織 +繕 +繚 +繞 +繡 +繩 +繪 +繫 +繭 +繳 +繹 +繼 +繽 +纂 +續 +纍 +纏 +纓 +纔 +纖 +纜 +纠 +红 +纣 +纤 +约 +级 +纨 +纪 +纫 +纬 +纭 +纯 +纰 +纱 +纲 +纳 +纵 +纶 +纷 +纸 +纹 +纺 +纽 +纾 +线 +绀 +练 +组 +绅 +细 +织 +终 +绊 +绍 +绎 +经 +绑 +绒 +结 +绔 +绕 +绘 +给 +绚 +绛 +络 +绝 +绞 +统 +绡 +绢 +绣 +绥 +绦 +继 +绩 +绪 +绫 +续 +绮 +绯 +绰 +绳 +维 +绵 +绶 +绷 +绸 +绻 +综 +绽 +绾 +绿 +缀 +缄 +缅 +缆 +缇 +缈 +缉 +缎 +缓 +缔 +缕 +编 +缘 +缙 +缚 +缜 +缝 +缠 +缢 +缤 +缥 +缨 +缩 +缪 +缭 +缮 +缰 +缱 +缴 +缸 +缺 +缽 +罂 +罄 +罌 +罐 +网 +罔 +罕 +罗 +罚 +罡 +罢 +罩 +罪 +置 +罰 +署 +罵 +罷 +罹 +羁 +羅 +羈 +羊 +羌 +美 +羔 +羚 +羞 +羟 +羡 +羣 +群 +羥 +羧 +羨 +義 +羯 +羲 +羸 +羹 +羽 +羿 +翁 +翅 +翊 +翌 +翎 +習 +翔 +翘 +翟 +翠 +翡 +翦 +翩 +翰 +翱 +翳 +翹 +翻 +翼 +耀 +老 +考 +耄 +者 +耆 +耋 +而 +耍 +耐 +耒 +耕 +耗 +耘 +耙 +耦 +耨 +耳 +耶 +耷 +耸 +耻 +耽 +耿 +聂 +聆 +聊 +聋 +职 +聒 +联 +聖 +聘 +聚 +聞 +聪 +聯 +聰 +聲 +聳 +聴 +聶 +職 +聽 +聾 +聿 +肃 +肄 +肅 +肆 +肇 +肉 +肋 +肌 +肏 +肓 +肖 +肘 +肚 +肛 +肝 +肠 +股 +肢 +肤 +肥 +肩 +肪 +肮 +肯 +肱 +育 +肴 +肺 +肽 +肾 +肿 +胀 +胁 +胃 +胄 +胆 +背 +胍 +胎 +胖 +胚 +胛 +胜 +胝 +胞 +胡 +胤 +胥 +胧 +胫 +胭 +胯 +胰 +胱 +胳 +胴 +胶 +胸 +胺 +能 +脂 +脅 +脆 +脇 +脈 +脉 +脊 +脍 +脏 +脐 +脑 +脓 +脖 +脘 +脚 +脛 +脣 +脩 +脫 +脯 +脱 +脲 +脳 +脸 +脹 +脾 +腆 +腈 +腊 +腋 +腌 +腎 +腐 +腑 +腓 +腔 +腕 +腥 +腦 +腩 +腫 +腭 +腮 +腰 +腱 +腳 +腴 +腸 +腹 +腺 +腻 +腼 +腾 +腿 +膀 +膈 +膊 +膏 +膑 +膘 +膚 +膛 +膜 +膝 +膠 +膦 +膨 +膩 +膳 +膺 +膻 +膽 +膾 +膿 +臀 +臂 +臃 +臆 +臉 +臊 +臍 +臓 +臘 +臟 +臣 +臥 +臧 +臨 +自 +臬 +臭 +至 +致 +臺 +臻 +臼 +臾 +舀 +舂 +舅 +舆 +與 +興 +舉 +舊 +舌 +舍 +舎 +舐 +舒 +舔 +舖 +舗 +舛 +舜 +舞 +舟 +航 +舫 +般 +舰 +舱 +舵 +舶 +舷 +舸 +船 +舺 +舾 +艇 +艋 +艘 +艙 +艦 +艮 +良 +艰 +艱 +色 +艳 +艷 +艹 +艺 +艾 +节 +芃 +芈 +芊 +芋 +芍 +芎 +芒 +芙 +芜 +芝 +芡 +芥 +芦 +芩 +芪 +芫 +芬 +芭 +芮 +芯 +花 +芳 +芷 +芸 +芹 +芻 +芽 +芾 +苁 +苄 +苇 +苋 +苍 +苏 +苑 +苒 +苓 +苔 +苕 +苗 +苛 +苜 +苞 +苟 +苡 +苣 +若 +苦 +苫 +苯 +英 +苷 +苹 +苻 +茁 +茂 +范 +茄 +茅 +茉 +茎 +茏 +茗 +茜 +茧 +茨 +茫 +茬 +茭 +茯 +茱 +茲 +茴 +茵 +茶 +茸 +茹 +茼 +荀 +荃 +荆 +草 +荊 +荏 +荐 +荒 +荔 +荖 +荘 +荚 +荞 +荟 +荠 +荡 +荣 +荤 +荥 +荧 +荨 +荪 +荫 +药 +荳 +荷 +荸 +荻 +荼 +荽 +莅 +莆 +莉 +莊 +莎 +莒 +莓 +莖 +莘 +莞 +莠 +莢 +莧 +莪 +莫 +莱 +莲 +莴 +获 +莹 +莺 +莽 +莿 +菀 +菁 +菅 +菇 +菈 +菊 +菌 +菏 +菓 +菖 +菘 +菜 +菟 +菠 +菡 +菩 +華 +菱 +菲 +菸 +菽 +萁 +萃 +萄 +萊 +萋 +萌 +萍 +萎 +萘 +萝 +萤 +营 +萦 +萧 +萨 +萩 +萬 +萱 +萵 +萸 +萼 +落 +葆 +葉 +著 +葚 +葛 +葡 +董 +葦 +葩 +葫 +葬 +葭 +葯 +葱 +葳 +葵 +葷 +葺 +蒂 +蒋 +蒐 +蒔 +蒙 +蒜 +蒞 +蒟 +蒡 +蒨 +蒲 +蒸 +蒹 +蒻 +蒼 +蒿 +蓁 +蓄 +蓆 +蓉 +蓋 +蓑 +蓓 +蓖 +蓝 +蓟 +蓦 +蓬 +蓮 +蓼 +蓿 +蔑 +蔓 +蔔 +蔗 +蔘 +蔚 +蔡 +蔣 +蔥 +蔫 +蔬 +蔭 +蔵 +蔷 +蔺 +蔻 +蔼 +蔽 +蕁 +蕃 +蕈 +蕉 +蕊 +蕎 +蕙 +蕤 +蕨 +蕩 +蕪 +蕭 +蕲 +蕴 +蕻 +蕾 +薄 +薅 +薇 +薈 +薊 +薏 +薑 +薔 +薙 +薛 +薦 +薨 +薩 +薪 +薬 +薯 +薰 +薹 +藉 +藍 +藏 +藐 +藓 +藕 +藜 +藝 +藤 +藥 +藩 +藹 +藻 +藿 +蘆 +蘇 +蘊 +蘋 +蘑 +蘚 +蘭 +蘸 +蘼 +蘿 +虎 +虏 +虐 +虑 +虔 +處 +虚 +虛 +虜 +虞 +號 +虢 +虧 +虫 +虬 +虱 +虹 +虻 +虽 +虾 +蚀 +蚁 +蚂 +蚊 +蚌 +蚓 +蚕 +蚜 +蚝 +蚣 +蚤 +蚩 +蚪 +蚯 +蚱 +蚵 +蛀 +蛆 +蛇 +蛊 +蛋 +蛎 +蛐 +蛔 +蛙 +蛛 +蛟 +蛤 +蛭 +蛮 +蛰 +蛳 +蛹 +蛻 +蛾 +蜀 +蜂 +蜃 +蜆 +蜇 +蜈 +蜊 +蜍 +蜒 +蜓 +蜕 +蜗 +蜘 +蜚 +蜜 +蜡 +蜢 +蜥 +蜱 +蜴 +蜷 +蜻 +蜿 +蝇 +蝈 +蝉 +蝌 +蝎 +蝕 +蝗 +蝙 +蝟 +蝠 +蝦 +蝨 +蝴 +蝶 +蝸 +蝼 +螂 +螃 +融 +螞 +螢 +螨 +螯 +螳 +螺 +蟀 +蟄 +蟆 +蟋 +蟎 +蟑 +蟒 +蟠 +蟬 +蟲 +蟹 +蟻 +蟾 +蠅 +蠍 +蠔 +蠕 +蠛 +蠟 +蠡 +蠢 +蠣 +蠱 +蠶 +蠹 +蠻 +血 +衄 +衅 +衆 +行 +衍 +術 +衔 +街 +衙 +衛 +衝 +衞 +衡 +衢 +衣 +补 +表 +衩 +衫 +衬 +衮 +衰 +衲 +衷 +衹 +衾 +衿 +袁 +袂 +袄 +袅 +袈 +袋 +袍 +袒 +袖 +袜 +袞 +袤 +袪 +被 +袭 +袱 +裁 +裂 +装 +裆 +裊 +裏 +裔 +裕 +裘 +裙 +補 +裝 +裟 +裡 +裤 +裨 +裱 +裳 +裴 +裸 +裹 +製 +裾 +褂 +複 +褐 +褒 +褓 +褔 +褚 +褥 +褪 +褫 +褲 +褶 +褻 +襁 +襄 +襟 +襠 +襪 +襬 +襯 +襲 +西 +要 +覃 +覆 +覇 +見 +規 +覓 +視 +覚 +覦 +覧 +親 +覬 +観 +覷 +覺 +覽 +觀 +见 +观 +规 +觅 +视 +览 +觉 +觊 +觎 +觐 +觑 +角 +觞 +解 +觥 +触 +觸 +言 +訂 +計 +訊 +討 +訓 +訕 +訖 +託 +記 +訛 +訝 +訟 +訣 +訥 +訪 +設 +許 +訳 +訴 +訶 +診 +註 +証 +詆 +詐 +詔 +評 +詛 +詞 +詠 +詡 +詢 +詣 +試 +詩 +詫 +詬 +詭 +詮 +詰 +話 +該 +詳 +詹 +詼 +誅 +誇 +誉 +誌 +認 +誓 +誕 +誘 +語 +誠 +誡 +誣 +誤 +誥 +誦 +誨 +說 +説 +読 +誰 +課 +誹 +誼 +調 +諄 +談 +請 +諏 +諒 +論 +諗 +諜 +諡 +諦 +諧 +諫 +諭 +諮 +諱 +諳 +諷 +諸 +諺 +諾 +謀 +謁 +謂 +謄 +謊 +謎 +謐 +謔 +謗 +謙 +講 +謝 +謠 +謨 +謬 +謹 +謾 +譁 +證 +譎 +譏 +識 +譙 +譚 +譜 +警 +譬 +譯 +議 +譲 +譴 +護 +譽 +讀 +變 +讓 +讚 +讞 +计 +订 +认 +讥 +讧 +讨 +让 +讪 +讫 +训 +议 +讯 +记 +讲 +讳 +讴 +讶 +讷 +许 +讹 +论 +讼 +讽 +设 +访 +诀 +证 +诃 +评 +诅 +识 +诈 +诉 +诊 +诋 +词 +诏 +译 +试 +诗 +诘 +诙 +诚 +诛 +话 +诞 +诟 +诠 +诡 +询 +诣 +诤 +该 +详 +诧 +诩 +诫 +诬 +语 +误 +诰 +诱 +诲 +说 +诵 +诶 +请 +诸 +诺 +读 +诽 +课 +诿 +谀 +谁 +调 +谄 +谅 +谆 +谈 +谊 +谋 +谌 +谍 +谎 +谏 +谐 +谑 +谒 +谓 +谔 +谕 +谗 +谘 +谙 +谚 +谛 +谜 +谟 +谢 +谣 +谤 +谥 +谦 +谧 +谨 +谩 +谪 +谬 +谭 +谯 +谱 +谲 +谴 +谶 +谷 +豁 +豆 +豇 +豈 +豉 +豊 +豌 +豎 +豐 +豔 +豚 +象 +豢 +豪 +豫 +豬 +豹 +豺 +貂 +貅 +貌 +貓 +貔 +貘 +貝 +貞 +負 +財 +貢 +貧 +貨 +販 +貪 +貫 +責 +貯 +貰 +貳 +貴 +貶 +買 +貸 +費 +貼 +貽 +貿 +賀 +賁 +賂 +賃 +賄 +資 +賈 +賊 +賑 +賓 +賜 +賞 +賠 +賡 +賢 +賣 +賤 +賦 +質 +賬 +賭 +賴 +賺 +購 +賽 +贅 +贈 +贊 +贍 +贏 +贓 +贖 +贛 +贝 +贞 +负 +贡 +财 +责 +贤 +败 +账 +货 +质 +贩 +贪 +贫 +贬 +购 +贮 +贯 +贰 +贱 +贲 +贴 +贵 +贷 +贸 +费 +贺 +贻 +贼 +贾 +贿 +赁 +赂 +赃 +资 +赅 +赈 +赊 +赋 +赌 +赎 +赏 +赐 +赓 +赔 +赖 +赘 +赚 +赛 +赝 +赞 +赠 +赡 +赢 +赣 +赤 +赦 +赧 +赫 +赭 +走 +赳 +赴 +赵 +赶 +起 +趁 +超 +越 +趋 +趕 +趙 +趟 +趣 +趨 +足 +趴 +趵 +趸 +趺 +趾 +跃 +跄 +跆 +跋 +跌 +跎 +跑 +跖 +跚 +跛 +距 +跟 +跡 +跤 +跨 +跩 +跪 +路 +跳 +践 +跷 +跹 +跺 +跻 +踉 +踊 +踌 +踏 +踐 +踝 +踞 +踟 +踢 +踩 +踪 +踮 +踱 +踴 +踵 +踹 +蹂 +蹄 +蹇 +蹈 +蹉 +蹊 +蹋 +蹑 +蹒 +蹙 +蹟 +蹣 +蹤 +蹦 +蹩 +蹬 +蹭 +蹲 +蹴 +蹶 +蹺 +蹼 +蹿 +躁 +躇 +躉 +躊 +躋 +躍 +躏 +躪 +身 +躬 +躯 +躲 +躺 +軀 +車 +軋 +軌 +軍 +軒 +軟 +転 +軸 +軼 +軽 +軾 +較 +載 +輒 +輓 +輔 +輕 +輛 +輝 +輟 +輩 +輪 +輯 +輸 +輻 +輾 +輿 +轄 +轅 +轆 +轉 +轍 +轎 +轟 +车 +轧 +轨 +轩 +转 +轭 +轮 +软 +轰 +轲 +轴 +轶 +轻 +轼 +载 +轿 +较 +辄 +辅 +辆 +辇 +辈 +辉 +辊 +辍 +辐 +辑 +输 +辕 +辖 +辗 +辘 +辙 +辛 +辜 +辞 +辟 +辣 +辦 +辨 +辩 +辫 +辭 +辮 +辯 +辰 +辱 +農 +边 +辺 +辻 +込 +辽 +达 +迁 +迂 +迄 +迅 +过 +迈 +迎 +运 +近 +返 +还 +这 +进 +远 +违 +连 +迟 +迢 +迤 +迥 +迦 +迩 +迪 +迫 +迭 +述 +迴 +迷 +迸 +迹 +迺 +追 +退 +送 +适 +逃 +逅 +逆 +选 +逊 +逍 +透 +逐 +递 +途 +逕 +逗 +這 +通 +逛 +逝 +逞 +速 +造 +逢 +連 +逮 +週 +進 +逵 +逶 +逸 +逻 +逼 +逾 +遁 +遂 +遅 +遇 +遊 +運 +遍 +過 +遏 +遐 +遑 +遒 +道 +達 +違 +遗 +遙 +遛 +遜 +遞 +遠 +遢 +遣 +遥 +遨 +適 +遭 +遮 +遲 +遴 +遵 +遶 +遷 +選 +遺 +遼 +遽 +避 +邀 +邁 +邂 +邃 +還 +邇 +邈 +邊 +邋 +邏 +邑 +邓 +邕 +邛 +邝 +邢 +那 +邦 +邨 +邪 +邬 +邮 +邯 +邰 +邱 +邳 +邵 +邸 +邹 +邺 +邻 +郁 +郅 +郊 +郎 +郑 +郜 +郝 +郡 +郢 +郤 +郦 +郧 +部 +郫 +郭 +郴 +郵 +郷 +郸 +都 +鄂 +鄉 +鄒 +鄔 +鄙 +鄞 +鄢 +鄧 +鄭 +鄰 +鄱 +鄲 +鄺 +酉 +酊 +酋 +酌 +配 +酐 +酒 +酗 +酚 +酝 +酢 +酣 +酥 +酩 +酪 +酬 +酮 +酯 +酰 +酱 +酵 +酶 +酷 +酸 +酿 +醃 +醇 +醉 +醋 +醍 +醐 +醒 +醚 +醛 +醜 +醞 +醣 +醪 +醫 +醬 +醮 +醯 +醴 +醺 +釀 +釁 +采 +釉 +释 +釋 +里 +重 +野 +量 +釐 +金 +釗 +釘 +釜 +針 +釣 +釦 +釧 +釵 +鈀 +鈉 +鈍 +鈎 +鈔 +鈕 +鈞 +鈣 +鈦 +鈪 +鈴 +鈺 +鈾 +鉀 +鉄 +鉅 +鉉 +鉑 +鉗 +鉚 +鉛 +鉤 +鉴 +鉻 +銀 +銃 +銅 +銑 +銓 +銖 +銘 +銜 +銬 +銭 +銮 +銳 +銷 +銹 +鋁 +鋅 +鋒 +鋤 +鋪 +鋰 +鋸 +鋼 +錄 +錐 +錘 +錚 +錠 +錢 +錦 +錨 +錫 +錮 +錯 +録 +錳 +錶 +鍊 +鍋 +鍍 +鍛 +鍥 +鍰 +鍵 +鍺 +鍾 +鎂 +鎊 +鎌 +鎏 +鎔 +鎖 +鎗 +鎚 +鎧 +鎬 +鎮 +鎳 +鏈 +鏖 +鏗 +鏘 +鏞 +鏟 +鏡 +鏢 +鏤 +鏽 +鐘 +鐮 +鐲 +鐳 +鐵 +鐸 +鐺 +鑄 +鑊 +鑑 +鑒 +鑣 +鑫 +鑰 +鑲 +鑼 +鑽 +鑾 +鑿 +针 +钉 +钊 +钎 +钏 +钒 +钓 +钗 +钙 +钛 +钜 +钝 +钞 +钟 +钠 +钡 +钢 +钣 +钤 +钥 +钦 +钧 +钨 +钩 +钮 +钯 +钰 +钱 +钳 +钴 +钵 +钺 +钻 +钼 +钾 +钿 +铀 +铁 +铂 +铃 +铄 +铅 +铆 +铉 +铎 +铐 +铛 +铜 +铝 +铠 +铡 +铢 +铣 +铤 +铨 +铩 +铬 +铭 +铮 +铰 +铲 +铵 +银 +铸 +铺 +链 +铿 +销 +锁 +锂 +锄 +锅 +锆 +锈 +锉 +锋 +锌 +锏 +锐 +锑 +错 +锚 +锟 +锡 +锢 +锣 +锤 +锥 +锦 +锭 +键 +锯 +锰 +锲 +锵 +锹 +锺 +锻 +镀 +镁 +镂 +镇 +镉 +镌 +镍 +镐 +镑 +镕 +镖 +镗 +镛 +镜 +镣 +镭 +镯 +镰 +镳 +镶 +長 +长 +門 +閃 +閉 +開 +閎 +閏 +閑 +閒 +間 +閔 +閘 +閡 +関 +閣 +閥 +閨 +閩 +閱 +閲 +閹 +閻 +閾 +闆 +闇 +闊 +闌 +闍 +闔 +闕 +闖 +闘 +關 +闡 +闢 +门 +闪 +闫 +闭 +问 +闯 +闰 +闲 +间 +闵 +闷 +闸 +闹 +闺 +闻 +闽 +闾 +阀 +阁 +阂 +阅 +阆 +阇 +阈 +阉 +阎 +阐 +阑 +阔 +阕 +阖 +阙 +阚 +阜 +队 +阡 +阪 +阮 +阱 +防 +阳 +阴 +阵 +阶 +阻 +阿 +陀 +陂 +附 +际 +陆 +陇 +陈 +陋 +陌 +降 +限 +陕 +陛 +陝 +陞 +陟 +陡 +院 +陣 +除 +陨 +险 +陪 +陰 +陲 +陳 +陵 +陶 +陷 +陸 +険 +陽 +隅 +隆 +隈 +隊 +隋 +隍 +階 +随 +隐 +隔 +隕 +隘 +隙 +際 +障 +隠 +隣 +隧 +隨 +險 +隱 +隴 +隶 +隸 +隻 +隼 +隽 +难 +雀 +雁 +雄 +雅 +集 +雇 +雉 +雋 +雌 +雍 +雎 +雏 +雑 +雒 +雕 +雖 +雙 +雛 +雜 +雞 +離 +難 +雨 +雪 +雯 +雰 +雲 +雳 +零 +雷 +雹 +電 +雾 +需 +霁 +霄 +霆 +震 +霈 +霉 +霊 +霍 +霎 +霏 +霑 +霓 +霖 +霜 +霞 +霧 +霭 +霰 +露 +霸 +霹 +霽 +霾 +靂 +靄 +靈 +青 +靓 +靖 +静 +靚 +靛 +靜 +非 +靠 +靡 +面 +靥 +靦 +革 +靳 +靴 +靶 +靼 +鞅 +鞋 +鞍 +鞏 +鞑 +鞘 +鞠 +鞣 +鞦 +鞭 +韆 +韋 +韌 +韓 +韜 +韦 +韧 +韩 +韬 +韭 +音 +韵 +韶 +韻 +響 +頁 +頂 +頃 +項 +順 +須 +頌 +預 +頑 +頒 +頓 +頗 +領 +頜 +頡 +頤 +頫 +頭 +頰 +頷 +頸 +頹 +頻 +頼 +顆 +題 +額 +顎 +顏 +顔 +願 +顛 +類 +顧 +顫 +顯 +顱 +顴 +页 +顶 +顷 +项 +顺 +须 +顼 +顽 +顾 +顿 +颁 +颂 +预 +颅 +领 +颇 +颈 +颉 +颊 +颌 +颍 +颐 +频 +颓 +颔 +颖 +颗 +题 +颚 +颛 +颜 +额 +颞 +颠 +颡 +颢 +颤 +颦 +颧 +風 +颯 +颱 +颳 +颶 +颼 +飄 +飆 +风 +飒 +飓 +飕 +飘 +飙 +飚 +飛 +飞 +食 +飢 +飨 +飩 +飪 +飯 +飲 +飼 +飽 +飾 +餃 +餅 +餉 +養 +餌 +餐 +餒 +餓 +餘 +餚 +餛 +餞 +餡 +館 +餮 +餵 +餾 +饅 +饈 +饋 +饌 +饍 +饑 +饒 +饕 +饗 +饞 +饥 +饨 +饪 +饬 +饭 +饮 +饯 +饰 +饱 +饲 +饴 +饵 +饶 +饷 +饺 +饼 +饽 +饿 +馀 +馁 +馄 +馅 +馆 +馈 +馋 +馍 +馏 +馒 +馔 +首 +馗 +香 +馥 +馨 +馬 +馭 +馮 +馳 +馴 +駁 +駄 +駅 +駆 +駐 +駒 +駕 +駛 +駝 +駭 +駱 +駿 +騁 +騎 +騏 +験 +騙 +騨 +騰 +騷 +驀 +驅 +驊 +驍 +驒 +驕 +驗 +驚 +驛 +驟 +驢 +驥 +马 +驭 +驮 +驯 +驰 +驱 +驳 +驴 +驶 +驷 +驸 +驹 +驻 +驼 +驾 +驿 +骁 +骂 +骄 +骅 +骆 +骇 +骈 +骊 +骋 +验 +骏 +骐 +骑 +骗 +骚 +骛 +骜 +骞 +骠 +骡 +骤 +骥 +骧 +骨 +骯 +骰 +骶 +骷 +骸 +骼 +髂 +髅 +髋 +髏 +髒 +髓 +體 +髖 +高 +髦 +髪 +髮 +髯 +髻 +鬃 +鬆 +鬍 +鬓 +鬚 +鬟 +鬢 +鬣 +鬥 +鬧 +鬱 +鬼 +魁 +魂 +魄 +魅 +魇 +魍 +魏 +魔 +魘 +魚 +魯 +魷 +鮑 +鮨 +鮪 +鮭 +鮮 +鯉 +鯊 +鯖 +鯛 +鯨 +鯰 +鯽 +鰍 +鰓 +鰭 +鰲 +鰻 +鰾 +鱈 +鱉 +鱔 +鱗 +鱷 +鱸 +鱼 +鱿 +鲁 +鲈 +鲍 +鲑 +鲛 +鲜 +鲟 +鲢 +鲤 +鲨 +鲫 +鲱 +鲲 +鲶 +鲷 +鲸 +鳃 +鳄 +鳅 +鳌 +鳍 +鳕 +鳖 +鳗 +鳝 +鳞 +鳥 +鳩 +鳳 +鳴 +鳶 +鴉 +鴕 +鴛 +鴦 +鴨 +鴻 +鴿 +鵑 +鵜 +鵝 +鵡 +鵬 +鵰 +鵲 +鶘 +鶩 +鶯 +鶴 +鷗 +鷲 +鷹 +鷺 +鸚 +鸞 +鸟 +鸠 +鸡 +鸢 +鸣 +鸥 +鸦 +鸨 +鸪 +鸭 +鸯 +鸳 +鸵 +鸽 +鸾 +鸿 +鹂 +鹃 +鹄 +鹅 +鹈 +鹉 +鹊 +鹌 +鹏 +鹑 +鹕 +鹘 +鹜 +鹞 +鹤 +鹦 +鹧 +鹫 +鹭 +鹰 +鹳 +鹵 +鹹 +鹼 +鹽 +鹿 +麂 +麋 +麒 +麓 +麗 +麝 +麟 +麥 +麦 +麩 +麴 +麵 +麸 +麺 +麻 +麼 +麽 +麾 +黃 +黄 +黍 +黎 +黏 +黑 +黒 +黔 +默 +黛 +黜 +黝 +點 +黠 +黨 +黯 +黴 +鼋 +鼎 +鼐 +鼓 +鼠 +鼬 +鼹 +鼻 +鼾 +齁 +齊 +齋 +齐 +齒 +齡 +齢 +齣 +齦 +齿 +龄 +龅 +龈 +龊 +龋 +龌 +龍 +龐 +龔 +龕 +龙 +龚 +龛 +龜 +龟 +︰ +︱ +︶ +︿ +﹁ +﹂ +﹍ +﹏ +﹐ +﹑ +﹒ +﹔ +﹕ +﹖ +﹗ +﹙ +﹚ +﹝ +﹞ +﹡ +﹣ +！ +＂ +＃ +＄ +％ +＆ +＇ +（ +） +＊ +＋ +， +－ +． +／ +０ +１ +２ +３ +４ +５ +６ +７ +８ +９ +： +； +＜ +＝ +＞ +？ +＠ +［ +＼ +］ +＾ +＿ +｀ +ａ +ｂ +ｃ +ｄ +ｅ +ｆ +ｇ +ｈ +ｉ +ｊ +ｋ +ｌ +ｍ +ｎ +ｏ +ｐ +ｑ +ｒ +ｓ +ｔ +ｕ +ｖ +ｗ +ｘ +ｙ +ｚ +｛ +｜ +｝ +～ +｡ +｢ +｣ +､ +･ +ｯ +ｰ +ｲ +ｸ +ｼ +ｽ +ﾄ +ﾉ +ﾌ +ﾗ +ﾙ +ﾝ +ﾞ +ﾟ +￣ +￥ +👍 +🔥 +😂 +😎 +... +yam +10 +2017 +12 +11 +2016 +20 +30 +15 +06 +lofter +##s +2015 +by +16 +14 +18 +13 +24 +17 +2014 +21 +##0 +22 +19 +25 +23 +com +100 +00 +05 +2013 +##a +03 +09 +08 +28 +##2 +50 +01 +04 +##1 +27 +02 +2012 +##3 +26 +##e +07 +##8 +##5 +##6 +##4 +##9 +##7 +29 +2011 +40 +##t +2010 +##o +##d +##i +2009 +##n +app +www +the +##m +31 +##c +##l +##y +##r +##g +2008 +60 +http +200 +qq +##p +80 +##f +google +pixnet +90 +cookies +tripadvisor +500 +##er +##k +35 +##h +facebook +2007 +2000 +70 +##b +of +##x +##u +45 +300 +iphone +32 +1000 +2006 +48 +ip +36 +in +38 +3d +##w +##ing +55 +ctrip +##on +##v +33 +##の +to +34 +400 +id +2005 +it +37 +windows +llc +top +99 +42 +39 +000 +led +at +##an +41 +51 +52 +46 +49 +43 +53 +44 +##z +android +58 +and +59 +2004 +56 +vr +##か +5000 +2003 +47 +blogthis +twitter +54 +##le +150 +ok +2018 +57 +75 +cn +no +ios +##in +##mm +##00 +800 +on +te +3000 +65 +2001 +360 +95 +ig +lv +120 +##ng +##を +##us +##に +pc +てす +── +600 +##te +85 +2002 +88 +##ed +html +ncc +wifi +email +64 +blog +is +##10 +##て +mail +online +##al +dvd +##ic +studio +##は +##℃ +##ia +##と +line +vip +72 +##q +98 +##ce +##en +for +##is +##ra +##es +##j +usb +net +cp +1999 +asia +4g +##cm +diy +new +3c +##お +ta +66 +language +vs +apple +tw +86 +web +##ne +ipad +62 +you +##re +101 +68 +##tion +ps +de +bt +pony +atm +##2017 +1998 +67 +##ch +ceo +##or +go +##na +av +pro +cafe +96 +pinterest +97 +63 +pixstyleme3c +##ta +more +said +##2016 +1997 +mp3 +700 +##ll +nba +jun +##20 +92 +tv +1995 +pm +61 +76 +nbsp +250 +##ie +linux +##ma +cd +110 +hd +##17 +78 +##ion +77 +6000 +am +##th +##st +94 +##se +##et +69 +180 +gdp +my +105 +81 +abc +89 +flash +79 +one +93 +1990 +1996 +##ck +gps +##も +##ly +web885 +106 +2020 +91 +##ge +4000 +1500 +xd +boss +isbn +1994 +org +##ry +me +love +##11 +0fork +73 +##12 +3g +##ter +##ar +71 +82 +##la +hotel +130 +1970 +pk +83 +87 +140 +ie +##os +##30 +##el +74 +##50 +seo +cpu +##ml +p2p +84 +may +##る +sun +tue +internet +cc +posted +youtube +##at +##ン +##man +ii +##ル +##15 +abs +nt +pdf +yahoo +ago +1980 +##it +news +mac +104 +##てす +##me +##り +java +1992 +spa +##de +##nt +hk +all +plus +la +1993 +##mb +##16 +##ve +west +##da +160 +air +##い +##ps +から +##to +1989 +logo +htc +php +https +fi +momo +##son +sat +##ke +##80 +ebd +suv +wi +day +apk +##88 +##um +mv +galaxy +wiki +or +brake +##ス +1200 +する +this +1991 +mon +##こ +❤2017 +po +##ない +javascript +life +home +june +##ss +system +900 +##ー +##０ +pp +1988 +world +fb +4k +br +##as +ic +ai +leonardo +safari +##60 +live +free +xx +wed +win7 +kiehl +##co +lg +o2o +##go +us +235 +1949 +mm +しい +vfm +kanye +##90 +##2015 +##id +jr +##ey +123 +rss +##sa +##ro +##am +##no +thu +fri +350 +##sh +##ki +103 +comments +name +##のて +##pe +##ine +max +1987 +8000 +uber +##mi +##ton +wordpress +office +1986 +1985 +##ment +107 +bd +win10 +##ld +##li +gmail +bb +dior +##rs +##ri +##rd +##ます +up +cad +##® +dr +して +read +##21 +をお +##io +##99 +url +1984 +pvc +paypal +show +policy +##40 +##ty +##18 +with +##★ +##01 +txt +102 +##ba +dna +from +post +mini +ar +taiwan +john +##ga +privacy +agoda +##13 +##ny +word +##24 +##22 +##by +##ur +##hz +1982 +##ang +265 +cookie +netscape +108 +##ka +##～ +##ad +house +share +note +ibm +code +hello +nike +sim +survey +##016 +1979 +1950 +wikia +##32 +##017 +5g +cbc +##tor +##kg +1983 +##rt +##14 +campaign +store +2500 +os +##ct +##ts +##° +170 +api +##ns +365 +excel +##な +##ao +##ら +##し +～～ +##nd +university +163 +には +518 +##70 +##ya +##il +##25 +pierre +ipo +0020 +897 +##23 +hotels +##ian +のお +125 +years +6606 +##ers +##26 +high +##day +time +##ay +bug +##line +##く +##す +##be +xp +talk2yam +yamservice +10000 +coco +##dy +sony +##ies +1978 +microsoft +david +people +##ha +1960 +instagram +intel +その +##ot +iso +1981 +##va +115 +##mo +##land +xxx +man +co +ltxsw +##ation +baby +220 +##pa +##ol +1945 +7000 +tag +450 +##ue +msn +##31 +oppo +##ト +##ca +control +##om +st +chrome +##ure +##ん +be +##き +lol +##19 +した +##bo +240 +lady +##100 +##way +##から +4600 +##ko +##do +##un +4s +corporation +168 +##ni +herme +##28 +ｃｐ +978 +##up +##06 +ui +##ds +ppt +admin +three +します +bbc +re +128 +##48 +ca +##015 +##35 +hp +##ee +tpp +##た +##ive +×× +root +##cc +##ました +##ble +##ity +adobe +park +114 +et +oled +city +##ex +##ler +##ap +china +##book +20000 +view +##ice +global +##km +your +hong +##mg +out +##ms +ng +ebay +##29 +menu +ubuntu +##cy +rom +##view +open +ktv +do +server +##lo +if +english +##ね +##５ +##oo +1600 +##02 +step1 +kong +club +135 +july +inc +1976 +mr +hi +##net +touch +##ls +##ii +michael +lcd +##05 +##33 +phone +james +step2 +1300 +ios9 +##box +dc +##２ +##ley +samsung +111 +280 +pokemon +css +##ent +##les +いいえ +##１ +s8 +atom +play +bmw +##said +sa +etf +ctrl +♥yoyo♥ +##55 +2025 +##2014 +##66 +adidas +amazon +1958 +##ber +##ner +visa +##77 +##der +1800 +connectivity +##hi +firefox +109 +118 +hr +so +style +mark +pop +ol +skip +1975 +as +##27 +##ir +##61 +190 +mba +##う +##ai +le +##ver +1900 +cafe2017 +lte +super +113 +129 +##ron +amd +like +##☆ +are +##ster +we +##sk +paul +data +international +##ft +longchamp +ssd +good +##ート +##ti +reply +##my +↓↓↓ +apr +star +##ker +source +136 +js +112 +get +force +photo +##one +126 +##2013 +##ow +link +bbs +1972 +goods +##lin +python +119 +##ip +game +##ics +##ません +blue +##● +520 +##45 +page +itunes +##03 +1955 +260 +1968 +gt +gif +618 +##ff +##47 +group +くたさい +about +bar +ganji +##nce +music +lee +not +1977 +1971 +1973 +##per +an +faq +comment +##って +days +##ock +116 +##bs +1974 +1969 +v1 +player +1956 +xbox +sql +fm +f1 +139 +##ah +210 +##lv +##mp +##000 +melody +1957 +##３ +550 +17life +199 +1966 +xml +market +##au +##71 +999 +##04 +what +gl +##95 +##age +tips +##68 +book +##ting +mysql +can +1959 +230 +##ung +wonderland +watch +10℃ +##ction +9000 +mar +mobile +1946 +1962 +article +##db +part +▲top +party +って +1967 +1964 +1948 +##07 +##ore +##op +この +dj +##78 +##38 +010 +main +225 +1965 +##ong +art +320 +ad +134 +020 +##73 +117 +pm2 +japan +228 +##08 +ts +1963 +##ica +der +sm +##36 +2019 +##wa +ct +##７ +##や +##64 +1937 +homemesh +search +##85 +##れは +##tv +##di +macbook +##９ +##くたさい +service +##♥ +type +った +750 +##ier +##si +##75 +##います +##ok +best +##ット +goris +lock +##った +cf +3m +big +##ut +ftp +carol +##vi +１０ +1961 +happy +sd +##ac +122 +anti +pe +cnn +iii +1920 +138 +##ラ +1940 +esp +jan +tags +##98 +##51 +august +vol +##86 +154 +##™ +##fs +##れ +##sion +design +ac +##ム +press +jordan +ppp +that +key +check +##６ +##tt +##㎡ +1080p +##lt +power +##42 +1952 +##bc +vivi +##ック +he +133 +121 +jpg +##rry +201 +175 +3500 +1947 +nb +##ted +##rn +しています +1954 +usd +##t00 +master +##ンク +001 +model +##58 +al +##09 +1953 +##34 +ram +goo +ても +##ui +127 +1930 +red +##ary +rpg +item +##pm +##41 +270 +##za +project +##2012 +hot +td +blogabstract +##ger +##62 +650 +##44 +gr2 +##します +##ｍ +black +electronic +nfc +year +asus +また +html5 +cindy +##hd +m3 +132 +esc +##od +booking +##53 +fed +tvb +##81 +##ina +mit +165 +##いる +chan +192 +distribution +next +になる +peter +bios +steam +cm +1941 +にも +pk10 +##ix +##65 +##91 +dec +nasa +##ana +icecat +00z +b1 +will +##46 +li +se +##ji +##み +##ard +oct +##ain +jp +##ze +##bi +cio +##56 +smart +h5 +##39 +##port +curve +vpn +##nm +##dia +utc +##あり +12345678910 +##52 +rmvb +chanel +a4 +miss +##and +##im +media +who +##63 +she +girl +5s +124 +vera +##して +class +vivo +king +##フ +##ei +national +ab +1951 +5cm +888 +145 +ipod +ap +1100 +5mm +211 +ms +2756 +##69 +mp4 +msci +##po +##89 +131 +mg +index +380 +##bit +##out +##zz +##97 +##67 +158 +apec +##８ +photoshop +opec +￥799 +ては +##96 +##tes +##ast +2g +○○ +##ール +￥2899 +##ling +##よ +##ory +1938 +##ical +kitty +content +##43 +step3 +##cn +win8 +155 +vc +1400 +iphone7 +robert +##した +tcl +137 +beauty +##87 +en +dollars +##ys +##oc +step +pay +yy +a1 +##2011 +##lly +##ks +##♪ +1939 +188 +download +1944 +sep +exe +ph +います +school +gb +center +pr +street +##board +uv +##37 +##lan +winrar +##que +##ua +##com +1942 +1936 +480 +gpu +##４ +ettoday +fu +tom +##54 +##ren +##via +149 +##72 +b2b +144 +##79 +##tch +rose +arm +mb +##49 +##ial +##nn +nvidia +step4 +mvp +00㎡ +york +156 +##イ +how +cpi +591 +2765 +gov +kg +joe +##xx +mandy +pa +##ser +copyright +fashion +1935 +don +##け +ecu +##ist +##art +erp +wap +have +##lm +talk +##ek +##ning +##if +ch +##ite +video +1943 +cs +san +iot +look +##84 +##2010 +##ku +october +##ux +trump +##hs +##ide +box +141 +first +##ins +april +##ight +##83 +185 +angel +protected +aa +151 +162 +x1 +m2 +##fe +##× +##ho +size +143 +min +ofo +fun +gomaji +ex +hdmi +food +dns +march +chris +kevin +##のか +##lla +##pp +##ec +ag +ems +6s +720p +##rm +##ham +off +##92 +asp +team +fandom +ed +299 +▌♥ +##ell +info +されています +##82 +sina +4066 +161 +##able +##ctor +330 +399 +315 +dll +rights +ltd +idc +jul +3kg +1927 +142 +ma +surface +##76 +##ク +～～～ +304 +mall +eps +146 +green +##59 +map +space +donald +v2 +sodu +##light +1931 +148 +1700 +まて +310 +reserved +htm +##han +##57 +2d +178 +mod +##ise +##tions +152 +ti +##shi +doc +1933 +icp +055 +wang +##ram +shopping +aug +##pi +##well +now +wam +b2 +からお +##hu +236 +1928 +##gb +266 +f2 +##93 +153 +mix +##ef +##uan +bwl +##plus +##res +core +##ess +tea +5℃ +hktvmall +nhk +##ate +list +##ese +301 +feb +4m +inn +ての +nov +159 +12345 +daniel +##ci +pass +##bet +##nk +coffee +202 +ssl +airbnb +##ute +fbi +woshipm +skype +ea +cg +sp +##fc +##www +yes +edge +alt +007 +##94 +fpga +##ght +##gs +iso9001 +さい +##ile +##wood +##uo +image +lin +icon +american +##em +1932 +set +says +##king +##tive +blogger +##74 +なと +256 +147 +##ox +##zy +##red +##ium +##lf +nokia +claire +##リ +##ding +november +lohas +##500 +##tic +##マ +##cs +##ある +##che +##ire +##gy +##ult +db +january +win +##カ +166 +road +ptt +##ま +##つ +198 +##fa +##mer +anna +pchome +はい +udn +ef +420 +##time +##tte +2030 +##ア +g20 +white +かかります +1929 +308 +garden +eleven +di +##おります +chen +309b +777 +172 +young +cosplay +ちてない +4500 +bat +##123 +##tra +##ては +kindle +npc +steve +etc +##ern +##｜ +call +xperia +ces +travel +sk +s7 +##ous +1934 +##int +みいたたけます +183 +edu +file +cho +qr +##car +##our +186 +##ant +##ｄ +eric +1914 +rends +##jo +##する +mastercard +##2000 +kb +##min +290 +##ino +vista +##ris +##ud +jack +2400 +##set +169 +pos +1912 +##her +##ou +taipei +しく +205 +beta +##ませんか +232 +##fi +express +255 +body +##ill +aphojoy +user +december +meiki +##ick +tweet +richard +##av +##ᆫ +iphone6 +##dd +ちてすか +views +##mark +321 +pd +##００ +times +##▲ +level +##ash +10g +point +5l +##ome +208 +koreanmall +##ak +george +q2 +206 +wma +tcp +##200 +スタッフ +full +mlb +##lle +##watch +tm +run +179 +911 +smith +business +##und +1919 +color +##tal +222 +171 +##less +moon +4399 +##rl +update +pcb +shop +499 +157 +little +なし +end +##mhz +van +dsp +easy +660 +##house +##key +history +##ｏ +oh +##001 +##hy +##web +oem +let +was +##2009 +##gg +review +##wan +182 +##°c +203 +uc +title +##val +united +233 +2021 +##ons +doi +trivago +overdope +sbs +##ance +##ち +grand +special +573032185 +imf +216 +wx17house +##so +##ーム +audi +##he +london +william +##rp +##ake +science +beach +cfa +amp +ps4 +880 +##800 +##link +##hp +crm +ferragamo +bell +make +##eng +195 +under +zh +photos +2300 +##style +##ント +via +176 +da +##gi +company +i7 +##ray +thomas +370 +ufo +i5 +##max +plc +ben +back +research +8g +173 +mike +##pc +##ッフ +september +189 +##ace +vps +february +167 +pantos +wp +lisa +1921 +★★ +jquery +night +long +offer +##berg +##news +1911 +##いて +ray +fks +wto +せます +over +164 +340 +##all +##rus +1924 +##888 +##works +blogtitle +loftpermalink +##→ +187 +martin +test +ling +km +##め +15000 +fda +v3 +##ja +##ロ +ｗedding +かある +outlet +family +##ea +をこ +##top +story +##ness +salvatore +##lu +204 +swift +215 +room +している +oracle +##ul +1925 +sam +b2c +week +pi +rock +##のは +##ａ +##けと +##ean +##300 +##gle +cctv +after +chinese +##back +powered +x2 +##tan +1918 +##nes +##イン +canon +only +181 +##zi +##las +say +##oe +184 +##sd +221 +##bot +##world +##zo +sky +made +top100 +just +1926 +pmi +802 +234 +gap +##vr +177 +les +174 +▲topoct +ball +vogue +vi +ing +ofweek +cos +##list +##ort +▲topmay +##なら +##lon +として +last +##tc +##of +##bus +##gen +real +eva +##コ +a3 +nas +##lie +##ria +##coin +##bt +▲topapr +his +212 +cat +nata +vive +health +⋯⋯ +drive +sir +▲topmar +du +cup +##カー +##ook +##よう +##sy +alex +msg +tour +しました +3ce +##word +193 +ebooks +r8 +block +318 +##より +2200 +nice +pvp +207 +months +1905 +rewards +##ther +1917 +0800 +##xi +##チ +##sc +micro +850 +gg +blogfp +op +1922 +daily +m1 +264 +true +##bb +ml +##tar +##のお +##ky +anthony +196 +253 +##yo +state +218 +##ara +##aa +##rc +##tz +##ston +より +gear +##eo +##ade +ge +see +1923 +##win +##ura +ss +heart +##den +##ita +down +##sm +el +png +2100 +610 +rakuten +whatsapp +bay +dream +add +##use +680 +311 +pad +gucci +mpv +##ode +##fo +island +▲topjun +##▼ +223 +jason +214 +chicago +##❤ +しの +##hone +io +##れる +##ことか +sogo +be2 +##ology +990 +cloud +vcd +##con +2～3 +##ford +##joy +##kb +##こさいます +##rade +but +##ach +docker +##ful +rfid +ul +##ase +hit +ford +##star +580 +##○ +１１ +a2 +sdk +reading +edited +##are +cmos +##mc +238 +siri +light +##ella +##ため +bloomberg +##read +pizza +##ison +jimmy +##vm +college +node +journal +ba +18k +##play +245 +##cer +２０ +magic +##yu +191 +jump +288 +tt +##ings +asr +##lia +3200 +step5 +network +##cd +mc +いします +1234 +pixstyleme +273 +##600 +2800 +money +★★★★★ +1280 +１２ +430 +bl +みの +act +##tus +tokyo +##rial +##life +emba +##ae +saas +tcs +##rk +##wang +summer +##sp +ko +##ving +390 +premium +##その +netflix +##ヒ +uk +mt +##lton +right +frank +two +209 +える +##ple +##cal +021 +##んな +##sen +##ville +hold +nexus +dd +##ius +てお +##mah +##なく +tila +zero +820 +ce +##tin +resort +##ws +charles +old +p10 +5d +report +##360 +##ru +##には +bus +vans +lt +##est +pv +##レ +links +rebecca +##ツ +##dm +azure +##365 +きな +limited +bit +4gb +##mon +1910 +moto +##eam +213 +1913 +var +eos +なとの +226 +blogspot +された +699 +e3 +dos +dm +fc +##ments +##ik +##kw +boy +##bin +##ata +960 +er +##せ +219 +##vin +##tu +##ula +194 +##∥ +station +##ろ +##ature +835 +files +zara +hdr +top10 +nature +950 +magazine +s6 +marriott +##シ +avira +case +##っと +tab +##ran +tony +##home +oculus +im +##ral +jean +saint +cry +307 +rosie +##force +##ini +ice +##bert +のある +##nder +##mber +pet +2600 +##◆ +plurk +▲topdec +##sis +00kg +▲topnov +720 +##ence +tim +##ω +##nc +##ても +##name +log +ips +great +ikea +malaysia +unix +##イト +3600 +##ncy +##nie +12000 +akb48 +##ye +##oid +404 +##chi +##いた +oa +xuehai +##1000 +##orm +##rf +275 +さん +##ware +##リー +980 +ho +##pro +text +##era +560 +bob +227 +##ub +##2008 +8891 +scp +avi +##zen +2022 +mi +wu +museum +qvod +apache +lake +jcb +▲topaug +★★★ +ni +##hr +hill +302 +ne +weibo +490 +ruby +##ーシ +##ヶ +##row +4d +▲topjul +iv +##ish +github +306 +mate +312 +##スト +##lot +##ane +andrew +のハイト +##tina +t1 +rf +ed2k +##vel +##900 +way +final +りの +ns +5a +705 +197 +##メ +sweet +bytes +##ene +▲topjan +231 +##cker +##2007 +##px +100g +topapp +229 +helpapp +rs +low +14k +g4g +care +630 +ldquo +あり +##fork +leave +rm +edition +##gan +##zon +##qq +▲topsep +##google +##ism +gold +224 +explorer +##zer +toyota +category +select +visual +##labels +restaurant +##md +posts +s1 +##ico +もっと +angelababy +123456 +217 +sports +s3 +mbc +1915 +してくたさい +shell +x86 +candy +##new +kbs +face +xl +470 +##here +4a +swissinfo +v8 +▲topfeb +dram +##ual +##vice +3a +##wer +sport +q1 +ios10 +public +int +card +##ｃ +ep +au +rt +##れた +1080 +bill +##mll +kim +３０ +460 +wan +##uk +##ミ +x3 +298 +0t +scott +##ming +239 +e5 +##3d +h7n9 +worldcat +brown +##あります +##vo +##led +##580 +##ax +249 +410 +##ert +paris +##～6 +polo +925 +##lr +599 +##ナ +capital +##hing +bank +cv +1g +##chat +##ｓ +##たい +adc +##ule +2m +##ｅ +digital +hotmail +268 +##pad +870 +bbq +quot +##ring +before +wali +##まて +mcu +2k +2b +という +costco +316 +north +333 +switch +##city +##ｐ +philips +##mann +management +panasonic +##cl +##vd +##ping +##rge +alice +##lk +##ましょう +css3 +##ney +vision +alpha +##ular +##400 +##tter +lz +にお +##ありません +mode +gre +1916 +pci +##tm +237 +1～2 +##yan +##そ +について +##let +##キ +work +war +coach +ah +mary +##ᅵ +huang +##pt +a8 +pt +follow +##berry +1895 +##ew +a5 +ghost +##ション +##wn +##og +south +##code +girls +##rid +action +villa +git +r11 +table +games +##cket +error +##anonymoussaid +##ag +here +##ame +##gc +qa +##■ +##lis +gmp +##gin +vmalife +##cher +yu +wedding +##tis +demo +dragon +530 +soho +social +bye +##rant +river +orz +acer +325 +##↑ +##ース +##ats +261 +del +##ven +440 +ups +##ように +##ター +305 +value +macd +yougou +##dn +661 +##ano +ll +##urt +##rent +continue +script +##wen +##ect +paper +263 +319 +shift +##chel +##フト +##cat +258 +x5 +fox +243 +##さん +car +aaa +##blog +loading +##yn +##tp +kuso +799 +si +sns +イカせるテンマ +ヒンクテンマ3 +rmb +vdc +forest +central +prime +help +ultra +##rmb +##ような +241 +square +688 +##しい +のないフロクに +##field +##reen +##ors +##ju +c1 +start +510 +##air +##map +cdn +##wo +cba +stephen +m8 +100km +##get +opera +##base +##ood +vsa +com™ +##aw +##ail +251 +なのて +count +t2 +##ᅡ +##een +2700 +hop +##gp +vsc +tree +##eg +##ose +816 +285 +##ories +##shop +alphago +v4 +1909 +simon +##ᆼ +fluke62max +zip +スホンサー +##sta +louis +cr +bas +##～10 +bc +##yer +hadoop +##ube +##wi +1906 +0755 +hola +##low +place +centre +5v +d3 +##fer +252 +##750 +##media +281 +540 +0l +exchange +262 +series +##ハー +##san +eb +##bank +##ｋ +q3 +##nge +##mail +take +##lp +259 +1888 +client +east +cache +event +vincent +##ールを +きを +##nse +sui +855 +adchoice +##и +##stry +##なたの +246 +##zone +ga +apps +sea +##ab +248 +cisco +##タ +##rner +kymco +##care +dha +##pu +##yi +minkoff +royal +p1 +への +annie +269 +collection +kpi +playstation +257 +になります +866 +bh +##bar +queen +505 +radio +1904 +andy +armani +##xy +manager +iherb +##ery +##share +spring +raid +johnson +1908 +##ob +volvo +hall +##ball +v6 +our +taylor +##hk +bi +242 +##cp +kate +bo +water +technology +##rie +サイトは +277 +##ona +##sl +hpv +303 +gtx +hip +rdquo +jayz +stone +##lex +##rum +namespace +##やり +620 +##ale +##atic +des +##erson +##ql +##ves +##type +enter +##この +##てきます +d2 +##168 +##mix +##bian +との +a9 +jj +ky +##lc +access +movie +##hc +リストに +tower +##ration +##mit +ます +##nch +ua +tel +prefix +##o2 +1907 +##point +1901 +ott +～10 +##http +##ury +baidu +##ink +member +##logy +bigbang +nownews +##js +##shot +##tb +##こと +247 +eba +##tics +##lus +ける +v5 +spark +##ama +there +##ions +god +##lls +##down +hiv +##ress +burberry +day2 +##kv +◆◆ +jeff +related +film +edit +joseph +283 +##ark +cx +32gb +order +g9 +30000 +##ans +##tty +s5 +##bee +かあります +thread +xr +buy +sh +005 +land +spotify +mx +##ari +276 +##verse +×email +sf +why +##ことて +244 +7headlines +nego +sunny +dom +exo +401 +666 +positioning +fit +rgb +##tton +278 +kiss +alexa +adam +lp +みリストを +##ｇ +mp +##ties +##llow +amy +##du +np +002 +institute +271 +##rth +##lar +2345 +590 +##des +sidebar +１５ +imax +site +##cky +##kit +##ime +##009 +season +323 +##fun +##ンター +##ひ +gogoro +a7 +pu +lily +fire +twd600 +##ッセーシを +いて +##vis +30ml +##cture +##をお +information +##オ +close +friday +##くれる +yi +nick +てすか +##tta +##tel +6500 +##lock +cbd +economy +254 +かお +267 +tinker +double +375 +8gb +voice +##app +oops +channel +today +985 +##right +raw +xyz +##＋ +jim +edm +##cent +7500 +supreme +814 +ds +##its +##asia +dropbox +##てすか +##tti +books +272 +100ml +##tle +##ller +##ken +##more +##boy +sex +309 +##dom +t3 +##ider +##なります +##unch +1903 +810 +feel +5500 +##かった +##put +により +s2 +mo +##gh +men +ka +amoled +div +##tr +##n1 +port +howard +##tags +ken +dnf +##nus +adsense +##а +ide +##へ +buff +thunder +##town +##ique +has +##body +auto +pin +##erry +tee +てした +295 +number +##the +##013 +object +psp +cool +udnbkk +16gb +##mic +miui +##tro +most +r2 +##alk +##nity +1880 +±0 +##いました +428 +s4 +law +version +##oa +n1 +sgs +docomo +##tf +##ack +henry +fc2 +##ded +##sco +##014 +##rite +286 +0mm +linkedin +##ada +##now +wii +##ndy +ucbug +##◎ +sputniknews +legalminer +##ika +##xp +2gb +##bu +q10 +oo +b6 +come +##rman +cheese +ming +maker +##gm +nikon +##fig +ppi +kelly +##ります +jchere +てきます +ted +md +003 +fgo +tech +##tto +dan +soc +##gl +##len +hair +earth +640 +521 +img +##pper +##a1 +##てきる +##ロク +acca +##ition +##ference +suite +##ig +outlook +##mond +##cation +398 +##pr +279 +101vip +358 +##999 +282 +64gb +3800 +345 +airport +##over +284 +##おり +jones +##ith +lab +##su +##いるのて +co2 +town +piece +##llo +no1 +vmware +24h +##qi +focus +reader +##admin +##ora +tb +false +##log +1898 +know +lan +838 +##ces +f4 +##ume +motel +stop +##oper +na +flickr +netcomponents +##af +##─ +pose +williams +local +##ound +##cg +##site +##iko +いお +274 +5m +gsm +con +##ath +1902 +friends +##hip +cell +317 +##rey +780 +cream +##cks +012 +##dp +facebooktwitterpinterestgoogle +sso +324 +shtml +song +swiss +##mw +##キンク +lumia +xdd +string +tiffany +522 +marc +られた +insee +russell +sc +dell +##ations +ｏｋ +camera +289 +##vs +##flow +##late +classic +287 +##nter +stay +g1 +mtv +512 +##ever +##lab +##nger +qe +sata +ryan +d1 +50ml +cms +##cing +su +292 +3300 +editor +296 +##nap +security +sunday +association +##ens +##700 +##bra +acg +##かり +sofascore +とは +mkv +##ign +jonathan +gary +build +labels +##oto +tesla +moba +qi +gohappy +general +ajax +1024 +##かる +サイト +society +##test +##urs +wps +fedora +##ich +mozilla +328 +##480 +##dr +usa +urn +##lina +##ｒ +grace +##die +##try +##ader +1250 +##なり +elle +570 +##chen +##ᆯ +price +##ten +uhz +##ough +eq +##hen +states +push +session +balance +wow +506 +##cus +##py +when +##ward +##ep +34e +wong +library +prada +##サイト +##cle +running +##ree +313 +ck +date +q4 +##ctive +##ool +##＞ +mk +##ira +##163 +388 +die +secret +rq +dota +buffet +は１ヶ +e6 +##ez +pan +368 +ha +##card +##cha +2a +##さ +alan +day3 +eye +f3 +##end +france +keep +adi +rna +tvbs +##ala +solo +nova +##え +##tail +##ょう +support +##ries +##なる +##ved +base +copy +iis +fps +##ways +hero +hgih +profile +fish +mu +ssh +entertainment +chang +##wd +click +cake +##ond +pre +##tom +kic +pixel +##ov +##fl +product +6a +##pd +dear +##gate +es +yumi +audio +##² +##sky +echo +bin +where +##ture +329 +##ape +find +sap +isis +##なと +nand +##101 +##load +##ream +band +a6 +525 +never +##post +festival +50cm +##we +555 +guide +314 +zenfone +##ike +335 +gd +forum +jessica +strong +alexander +##ould +software +allen +##ious +program +360° +else +lohasthree +##gar +することかてきます +please +##れます +rc +##ggle +##ric +bim +50000 +##own +eclipse +355 +brian +3ds +##side +061 +361 +##other +##ける +##tech +##ator +485 +engine +##ged +##ｔ +plaza +##fit +cia +ngo +westbrook +shi +tbs +50mm +##みませんか +sci +291 +reuters +##ily +contextlink +##hn +af +##cil +bridge +very +##cel +1890 +cambridge +##ize +15g +##aid +##data +790 +frm +##head +award +butler +##sun +meta +##mar +america +ps3 +puma +pmid +##すか +lc +670 +kitchen +##lic +オーフン5 +きなしソフトサーヒス +そして +day1 +future +★★★★ +##text +##page +##rris +pm1 +##ket +fans +##っています +1001 +christian +bot +kids +trackback +##hai +c3 +display +##hl +n2 +1896 +idea +さんも +##sent +airmail +##ug +##men +pwm +けます +028 +##lution +369 +852 +awards +schemas +354 +asics +wikipedia +font +##tional +##vy +c2 +293 +##れている +##dget +##ein +っている +contact +pepper +スキル +339 +##～5 +294 +##uel +##ument +730 +##hang +みてす +q5 +##sue +rain +##ndi +wei +swatch +##cept +わせ +331 +popular +##ste +##tag +p2 +501 +trc +1899 +##west +##live +justin +honda +ping +messenger +##rap +v9 +543 +##とは +unity +appqq +はすへて +025 +leo +##tone +##テ +##ass +uniqlo +##010 +502 +her +jane +memory +moneydj +##tical +human +12306 +していると +##m2 +coc +miacare +##mn +tmt +##core +vim +kk +##may +fan +target +use +too +338 +435 +2050 +867 +737 +fast +##2c +services +##ope +omega +energy +##わ +pinkoi +1a +##なから +##rain +jackson +##ement +##シャンルの +374 +366 +そんな +p9 +rd +##ᆨ +1111 +##tier +##vic +zone +##│ +385 +690 +dl +isofix +cpa +m4 +322 +kimi +めて +davis +##lay +lulu +##uck +050 +weeks +qs +##hop +920 +##ｎ +ae +##ear +～5 +eia +405 +##fly +korea +jpeg +boost +##ship +small +##リア +1860 +eur +297 +425 +valley +##iel +simple +##ude +rn +k2 +##ena +されます +non +patrick +しているから +##ナー +feed +5757 +30g +process +well +qqmei +##thing +they +aws +lu +pink +##ters +##kin +または +board +##vertisement +wine +##ien +unicode +##dge +r1 +359 +##tant +いを +##twitter +##3c +cool1 +される +##れて +##ｌ +isp +##012 +standard +45㎡2 +402 +##150 +matt +##fu +326 +##iner +googlemsn +pixnetfacebookyahoo +##ラン +x7 +886 +##uce +メーカー +sao +##ev +##きました +##file +9678 +403 +xddd +shirt +6l +##rio +##hat +3mm +givenchy +ya +bang +##lio +monday +crystal +ロクイン +##abc +336 +head +890 +ubuntuforumwikilinuxpastechat +##vc +##～20 +##rity +cnc +7866 +ipv6 +null +1897 +##ost +yang +imsean +tiger +##fet +##ンス +352 +##＝ +dji +327 +ji +maria +##come +##んて +foundation +3100 +##beth +##なった +1m +601 +active +##aft +##don +3p +sr +349 +emma +##khz +living +415 +353 +1889 +341 +709 +457 +sas +x6 +##face +pptv +x4 +##mate +han +sophie +##jing +337 +fifa +##mand +other +sale +inwedding +##gn +てきちゃいます +##mmy +##pmlast +bad +nana +nbc +してみてくたさいね +なとはお +##wu +##かあります +##あ +note7 +single +##340 +せからこ +してくたさい♪この +しにはとんとんワークケートを +するとあなたにもっとマッチした +ならワークケートへ +もみつかっちゃうかも +ワークケートの +##bel +window +##dio +##ht +union +age +382 +１４ +##ivity +##ｙ +コメント +domain +neo +##isa +##lter +5k +f5 +steven +##cts +powerpoint +tft +self +g2 +ft +##テル +zol +##act +mwc +381 +343 +もう +nbapop +408 +てある +eds +ace +##room +previous +author +tomtom +il +##ets +hu +financial +☆☆☆ +っています +bp +5t +chi +1gb +##hg +fairmont +cross +008 +gay +h2 +function +##けて +356 +also +1b +625 +##ータ +##raph +1894 +3～5 +##ils +i3 +334 +avenue +##host +による +##bon +##tsu +message +navigation +50g +fintech +h6 +##ことを +8cm +##ject +##vas +##firm +credit +##wf +xxxx +form +##nor +##space +huawei +plan +json +sbl +##dc +machine +921 +392 +wish +##120 +##sol +windows7 +edward +##ために +development +washington +##nsis +lo +818 +##sio +##ym +##bor +planet +##～8 +##wt +ieee +gpa +##めて +camp +ann +gm +##tw +##oka +connect +##rss +##work +##atus +wall +chicken +soul +2mm +##times +fa +##ather +##cord +009 +##eep +hitachi +gui +harry +##pan +e1 +disney +##press +##ーション +wind +386 +frigidaire +##tl +liu +hsu +332 +basic +von +ev +いた +てきる +スホンサーサイト +learning +##ull +expedia +archives +change +##wei +santa +cut +ins +6gb +turbo +brand +cf1 +508 +004 +return +747 +##rip +h1 +##nis +##をこ +128gb +##にお +3t +application +しており +emc +rx +##oon +384 +quick +412 +15058 +wilson +wing +chapter +##bug +beyond +##cms +##dar +##oh +zoom +e2 +trip +sb +##nba +rcep +342 +aspx +ci +080 +gc +gnu +める +##count +advanced +dance +dv +##url +##ging +367 +8591 +am09 +shadow +battle +346 +##ｉ +##cia +##という +emily +##のてす +##tation +host +ff +techorz +sars +##mini +##mporary +##ering +nc +4200 +798 +##next +cma +##mbps +##gas +##ift +##dot +##ィ +455 +##～17 +amana +##りの +426 +##ros +ir +00㎡1 +##eet +##ible +##↓ +710 +ˋ▽ˊ +##aka +dcs +iq +##ｖ +l1 +##lor +maggie +##011 +##iu +588 +##～1 +830 +##gt +1tb +articles +create +##burg +##iki +database +fantasy +##rex +##cam +dlc +dean +##you +hard +path +gaming +victoria +maps +cb +##lee +##itor +overchicstoretvhome +systems +##xt +416 +p3 +sarah +760 +##nan +407 +486 +x9 +install +second +626 +##ann +##ph +##rcle +##nic +860 +##nar +ec +##とう +768 +metro +chocolate +##rian +～4 +##table +##しています +skin +##sn +395 +mountain +##0mm +inparadise +6m +7x24 +ib +4800 +##jia +eeworld +creative +g5 +g3 +357 +parker +ecfa +village +からの +18000 +sylvia +サーヒス +hbl +##ques +##onsored +##x2 +##きます +##v4 +##tein +ie6 +383 +##stack +389 +ver +##ads +##baby +sound +bbe +##110 +##lone +##uid +ads +022 +gundam +351 +thinkpad +006 +scrum +match +##ave +mems +##470 +##oy +##なりました +##talk +glass +lamigo +span +##eme +job +##a5 +jay +wade +kde +498 +##lace +ocean +tvg +##covery +##r3 +##ners +##rea +junior +think +##aine +cover +##ision +##sia +↓↓ +##bow +msi +413 +458 +406 +##love +711 +801 +soft +z2 +##pl +456 +1840 +mobil +mind +##uy +427 +nginx +##oi +めた +##rr +6221 +##mple +##sson +##ーシてす +371 +##nts +91tv +comhd +crv3000 +##uard +1868 +397 +deep +lost +field +gallery +##bia +rate +spf +redis +traction +930 +icloud +011 +なら +fe +jose +372 +##tory +into +sohu +fx +899 +379 +kicstart2 +##hia +すく +##～3 +##sit +ra +２４ +##walk +##xure +500g +##pact +pacific +xa +natural +carlo +##250 +##walker +1850 +##can +cto +gigi +516 +##サー +pen +##hoo +ob +matlab +##ｂ +##yy +13913459 +##iti +mango +##bbs +sense +c5 +oxford +##ニア +walker +jennifer +##ola +course +##bre +701 +##pus +##rder +lucky +075 +##ぁ +ivy +なお +##nia +sotheby +side +##ugh +joy +##orage +##ush +##bat +##dt +364 +r9 +##2d +##gio +511 +country +wear +##lax +##～7 +##moon +393 +seven +study +411 +348 +lonzo +8k +##ェ +evolution +##イフ +##kk +gs +kd +##レス +arduino +344 +b12 +##lux +arpg +##rdon +cook +##x5 +dark +five +##als +##ida +とても +sign +362 +##ちの +something +20mm +##nda +387 +##posted +fresh +tf +1870 +422 +cam +##mine +##skip +##form +##ssion +education +394 +##tee +dyson +stage +##jie +want +##night +epson +pack +あります +##ppy +テリヘル +##█ +wd +##eh +##rence +left +##lvin +golden +mhz +discovery +##trix +##n2 +loft +##uch +##dra +##sse +speed +～1 +1mdb +sorry +welcome +##urn +wave +gaga +##lmer +teddy +##160 +トラックハック +せよ +611 +##f2016 +378 +rp +##sha +rar +##あなたに +##きた +840 +holiday +##ュー +373 +074 +##vg +##nos +##rail +gartner +gi +6p +##dium +kit +488 +b3 +eco +##ろう +20g +sean +##stone +autocad +nu +##np +f16 +write +029 +m5 +##ias +images +atp +##dk +fsm +504 +1350 +ve +52kb +##xxx +##のに +##cake +414 +unit +lim +ru +1v +##ification +published +angela +16g +analytics +ak +##ｑ +##nel +gmt +##icon +again +##₂ +##bby +ios11 +445 +かこさいます +waze +いてす +##ハ +9985 +##ust +##ティー +framework +##007 +iptv +delete +52sykb +cl +wwdc +027 +30cm +##fw +##ての +1389 +##xon +brandt +##ses +##dragon +tc +vetements +anne +monte +modern +official +##へて +##ere +##nne +##oud +もちろん +５０ +etnews +##a2 +##graphy +421 +863 +##ちゃん +444 +##rtex +##てお +l2 +##gma +mount +ccd +たと +archive +morning +tan +ddos +e7 +##ホ +day4 +##ウ +gis +453 +its +495 +factory +bruce +pg +##ito +ってくたさい +guest +cdma +##lling +536 +n3 +しかし +3～4 +mega +eyes +ro +１３ +women +dac +church +##jun +singapore +##facebook +6991 +starbucks +##tos +##stin +##shine +zen +##mu +tina +20℃ +1893 +##たけて +503 +465 +request +##gence +qt +##っ +1886 +347 +363 +q7 +##zzi +diary +##tore +409 +##ead +468 +cst +##osa +canada +agent +va +##jiang +##ちは +##ーク +##lam +sg +##nix +##sday +##よって +g6 +##master +bing +##zl +charlie +１６ +8mm +nb40 +##ーン +thai +##ルフ +ln284ct +##itz +##2f +bonnie +##food +##lent +originals +##stro +##lts +418 +∟∣ +##bscribe +children +ntd +yesstyle +##かも +hmv +##tment +d5 +2cm +arts +sms +##pn +##я +##いい +topios9 +539 +lifestyle +virtual +##ague +xz +##deo +muji +024 +unt +##nnis +##ᅩ +faq1 +1884 +396 +##ette +fly +64㎡ +はしめまして +441 +curry +##pop +のこ +release +##← +##◆◆ +##cast +073 +ありな +500ml +##ews +5c +##stle +ios7 +##ima +787 +dog +lenovo +##r4 +roger +013 +cbs +vornado +100m +417 +##desk +##クok +##ald +1867 +9595 +2900 +##van +oil +##ｘ +some +break +common +##jy +##lines +g7 +twice +419 +ella +nano +belle +にこ +##mes +##self +##note +jb +##ことかてきます +benz +##との +##ova +451 +save +##wing +##ますのて +kai +りは +##hua +##rect +rainer +##unge +448 +##0m +adsl +##かな +guestname +##uma +##kins +##zu +tokichoi +##price +county +##med +##mus +rmk +391 +address +vm +えて +openload +##group +##hin +##iginal +amg +urban +##oz +jobs +emi +##public +beautiful +##sch +album +##dden +##bell +jerry +works +hostel +miller +##drive +##rmin +##１０ +376 +boot +828 +##370 +##fx +##cm～ +1885 +##nome +##ctionary +##oman +##lish +##cr +##hm +433 +##how +432 +francis +xi +c919 +b5 +evernote +##uc +vga +##3000 +coupe +##urg +##cca +##uality +019 +6g +れる +multi +##また +##ett +em +hey +##ani +##tax +##rma +inside +than +740 +leonnhurt +##jin +ict +れた +bird +notes +200mm +くの +##dical +##lli +result +442 +iu +ee +438 +smap +gopro +##last +yin +pure +998 +32g +けた +5kg +##dan +##rame +mama +##oot +bean +marketing +##hur +2l +bella +sync +xuite +##ground +515 +discuz +##getrelax +##ince +##bay +##5s +cj +##イス +gmat +apt +##pass +jing +##rix +c4 +rich +##とても +niusnews +##ello +bag +770 +##eting +##mobile +１８ +culture +015 +##のてすか +377 +1020 +area +##ience +616 +details +gp +universal +silver +dit +はお +private +ddd +u11 +kanshu +##ified +fung +##nny +dx +##520 +tai +475 +023 +##fr +##lean +3s +##pin +429 +##rin +25000 +ly +rick +##bility +usb3 +banner +##baru +##gion +metal +dt +vdf +1871 +karl +qualcomm +bear +1010 +oldid +ian +jo +##tors +population +##ernel +1882 +mmorpg +##mv +##bike +603 +##© +ww +friend +##ager +exhibition +##del +##pods +fpx +structure +##free +##tings +kl +##rley +##copyright +##mma +california +3400 +orange +yoga +4l +canmake +honey +##anda +##コメント +595 +nikkie +##ルハイト +dhl +publishing +##mall +##gnet +20cm +513 +##クセス +##┅ +e88 +970 +##dog +fishbase +##! +##" +### +##$ +##% +##& +##' +##( +##) +##* +##+ +##, +##- +##. +##/ +##: +##; +##< +##= +##> +##? +##@ +##[ +##\ +##] +##^ +##_ +##{ +##| +##} +##~ +##£ +##¤ +##¥ +##§ +##« +##± +##³ +##µ +##· +##¹ +##º +##» +##¼ +##ß +##æ +##÷ +##ø +##đ +##ŋ +##ɔ +##ə +##ɡ +##ʰ +##ˇ +##ˈ +##ˊ +##ˋ +##ˍ +##ː +##˙ +##˚ +##ˢ +##α +##β +##γ +##δ +##ε +##η +##θ +##ι +##κ +##λ +##μ +##ν +##ο +##π +##ρ +##ς +##σ +##τ +##υ +##φ +##χ +##ψ +##б +##в +##г +##д +##е +##ж +##з +##к +##л +##м +##н +##о +##п +##р +##с +##т +##у +##ф +##х +##ц +##ч +##ш +##ы +##ь +##і +##ا +##ب +##ة +##ت +##د +##ر +##س +##ع +##ل +##م +##ن +##ه +##و +##ي +##۩ +##ก +##ง +##น +##ม +##ย +##ร +##อ +##า +##เ +##๑ +##་ +##ღ +##ᄀ +##ᄁ +##ᄂ +##ᄃ +##ᄅ +##ᄆ +##ᄇ +##ᄈ +##ᄉ +##ᄋ +##ᄌ +##ᄎ +##ᄏ +##ᄐ +##ᄑ +##ᄒ +##ᅢ +##ᅣ +##ᅥ +##ᅦ +##ᅧ +##ᅨ +##ᅪ +##ᅬ +##ᅭ +##ᅮ +##ᅯ +##ᅲ +##ᅳ +##ᅴ +##ᆷ +##ᆸ +##ᆺ +##ᆻ +##ᗜ +##ᵃ +##ᵉ +##ᵍ +##ᵏ +##ᵐ +##ᵒ +##ᵘ +##‖ +##„ +##† +##• +##‥ +##‧ +##
 +##‰ +##′ +##″ +##‹ +##› +##※ +##‿ +##⁄ +##ⁱ +##⁺ +##ⁿ +##₁ +##₃ +##₄ +##€ +##№ +##ⅰ +##ⅱ +##ⅲ +##ⅳ +##ⅴ +##↔ +##↗ +##↘ +##⇒ +##∀ +##− +##∕ +##∙ +##√ +##∞ +##∟ +##∠ +##∣ +##∩ +##∮ +##∶ +##∼ +##∽ +##≈ +##≒ +##≡ +##≤ +##≥ +##≦ +##≧ +##≪ +##≫ +##⊙ +##⋅ +##⋈ +##⋯ +##⌒ +##① +##② +##③ +##④ +##⑤ +##⑥ +##⑦ +##⑧ +##⑨ +##⑩ +##⑴ +##⑵ +##⑶ +##⑷ +##⑸ +##⒈ +##⒉ +##⒊ +##⒋ +##ⓒ +##ⓔ +##ⓘ +##━ +##┃ +##┆ +##┊ +##┌ +##└ +##├ +##┣ +##═ +##║ +##╚ +##╞ +##╠ +##╭ +##╮ +##╯ +##╰ +##╱ +##╳ +##▂ +##▃ +##▅ +##▇ +##▉ +##▋ +##▌ +##▍ +##▎ +##□ +##▪ +##▫ +##▬ +##△ +##▶ +##► +##▽ +##◇ +##◕ +##◠ +##◢ +##◤ +##☀ +##☕ +##☞ +##☺ +##☼ +##♀ +##♂ +##♠ +##♡ +##♣ +##♦ +##♫ +##♬ +##✈ +##✔ +##✕ +##✖ +##✦ +##✨ +##✪ +##✰ +##✿ +##❀ +##➜ +##➤ +##⦿ +##、 +##。 +##〃 +##々 +##〇 +##〈 +##〉 +##《 +##》 +##「 +##」 +##『 +##』 +##【 +##】 +##〓 +##〔 +##〕 +##〖 +##〗 +##〜 +##〝 +##〞 +##ぃ +##ぇ +##ぬ +##ふ +##ほ +##む +##ゃ +##ゅ +##ゆ +##ょ +##゜ +##ゝ +##ァ +##ゥ +##エ +##ォ +##ケ +##サ +##セ +##ソ +##ッ +##ニ +##ヌ +##ネ +##ノ +##ヘ +##モ +##ャ +##ヤ +##ュ +##ユ +##ョ +##ヨ +##ワ +##ヲ +##・ +##ヽ +##ㄅ +##ㄆ +##ㄇ +##ㄉ +##ㄋ +##ㄌ +##ㄍ +##ㄎ +##ㄏ +##ㄒ +##ㄚ +##ㄛ +##ㄞ +##ㄟ +##ㄢ +##ㄤ +##ㄥ +##ㄧ +##ㄨ +##ㆍ +##㈦ +##㊣ +##㗎 +##一 +##丁 +##七 +##万 +##丈 +##三 +##上 +##下 +##不 +##与 +##丐 +##丑 +##专 +##且 +##丕 +##世 +##丘 +##丙 +##业 +##丛 +##东 +##丝 +##丞 +##丟 +##両 +##丢 +##两 +##严 +##並 +##丧 +##丨 +##个 +##丫 +##中 +##丰 +##串 +##临 +##丶 +##丸 +##丹 +##为 +##主 +##丼 +##丽 +##举 +##丿 +##乂 +##乃 +##久 +##么 +##义 +##之 +##乌 +##乍 +##乎 +##乏 +##乐 +##乒 +##乓 +##乔 +##乖 +##乗 +##乘 +##乙 +##乜 +##九 +##乞 +##也 +##习 +##乡 +##书 +##乩 +##买 +##乱 +##乳 +##乾 +##亀 +##亂 +##了 +##予 +##争 +##事 +##二 +##于 +##亏 +##云 +##互 +##五 +##井 +##亘 +##亙 +##亚 +##些 +##亜 +##亞 +##亟 +##亡 +##亢 +##交 +##亥 +##亦 +##产 +##亨 +##亩 +##享 +##京 +##亭 +##亮 +##亲 +##亳 +##亵 +##人 +##亿 +##什 +##仁 +##仃 +##仄 +##仅 +##仆 +##仇 +##今 +##介 +##仍 +##从 +##仏 +##仑 +##仓 +##仔 +##仕 +##他 +##仗 +##付 +##仙 +##仝 +##仞 +##仟 +##代 +##令 +##以 +##仨 +##仪 +##们 +##仮 +##仰 +##仲 +##件 +##价 +##任 +##份 +##仿 +##企 +##伉 +##伊 +##伍 +##伎 +##伏 +##伐 +##休 +##伕 +##众 +##优 +##伙 +##会 +##伝 +##伞 +##伟 +##传 +##伢 +##伤 +##伦 +##伪 +##伫 +##伯 +##估 +##伴 +##伶 +##伸 +##伺 +##似 +##伽 +##佃 +##但 +##佇 +##佈 +##位 +##低 +##住 +##佐 +##佑 +##体 +##佔 +##何 +##佗 +##佘 +##余 +##佚 +##佛 +##作 +##佝 +##佞 +##佟 +##你 +##佢 +##佣 +##佤 +##佥 +##佩 +##佬 +##佯 +##佰 +##佳 +##併 +##佶 +##佻 +##佼 +##使 +##侃 +##侄 +##來 +##侈 +##例 +##侍 +##侏 +##侑 +##侖 +##侗 +##供 +##依 +##侠 +##価 +##侣 +##侥 +##侦 +##侧 +##侨 +##侬 +##侮 +##侯 +##侵 +##侶 +##侷 +##便 +##係 +##促 +##俄 +##俊 +##俎 +##俏 +##俐 +##俑 +##俗 +##俘 +##俚 +##保 +##俞 +##俟 +##俠 +##信 +##俨 +##俩 +##俪 +##俬 +##俭 +##修 +##俯 +##俱 +##俳 +##俸 +##俺 +##俾 +##倆 +##倉 +##個 +##倌 +##倍 +##倏 +##們 +##倒 +##倔 +##倖 +##倘 +##候 +##倚 +##倜 +##借 +##倡 +##値 +##倦 +##倩 +##倪 +##倫 +##倬 +##倭 +##倶 +##债 +##值 +##倾 +##偃 +##假 +##偈 +##偉 +##偌 +##偎 +##偏 +##偕 +##做 +##停 +##健 +##側 +##偵 +##偶 +##偷 +##偻 +##偽 +##偿 +##傀 +##傅 +##傍 +##傑 +##傘 +##備 +##傚 +##傢 +##傣 +##傥 +##储 +##傩 +##催 +##傭 +##傲 +##傳 +##債 +##傷 +##傻 +##傾 +##僅 +##働 +##像 +##僑 +##僕 +##僖 +##僚 +##僥 +##僧 +##僭 +##僮 +##僱 +##僵 +##價 +##僻 +##儀 +##儂 +##億 +##儆 +##儉 +##儋 +##儒 +##儕 +##儘 +##償 +##儡 +##優 +##儲 +##儷 +##儼 +##儿 +##兀 +##允 +##元 +##兄 +##充 +##兆 +##兇 +##先 +##光 +##克 +##兌 +##免 +##児 +##兑 +##兒 +##兔 +##兖 +##党 +##兜 +##兢 +##入 +##內 +##全 +##兩 +##八 +##公 +##六 +##兮 +##兰 +##共 +##兲 +##关 +##兴 +##兵 +##其 +##具 +##典 +##兹 +##养 +##兼 +##兽 +##冀 +##内 +##円 +##冇 +##冈 +##冉 +##冊 +##册 +##再 +##冏 +##冒 +##冕 +##冗 +##写 +##军 +##农 +##冠 +##冢 +##冤 +##冥 +##冨 +##冪 +##冬 +##冯 +##冰 +##冲 +##决 +##况 +##冶 +##冷 +##冻 +##冼 +##冽 +##冾 +##净 +##凄 +##准 +##凇 +##凈 +##凉 +##凋 +##凌 +##凍 +##减 +##凑 +##凛 +##凜 +##凝 +##几 +##凡 +##凤 +##処 +##凪 +##凭 +##凯 +##凰 +##凱 +##凳 +##凶 +##凸 +##凹 +##出 +##击 +##函 +##凿 +##刀 +##刁 +##刃 +##分 +##切 +##刈 +##刊 +##刍 +##刎 +##刑 +##划 +##列 +##刘 +##则 +##刚 +##创 +##初 +##删 +##判 +##別 +##刨 +##利 +##刪 +##别 +##刮 +##到 +##制 +##刷 +##券 +##刹 +##刺 +##刻 +##刽 +##剁 +##剂 +##剃 +##則 +##剉 +##削 +##剋 +##剌 +##前 +##剎 +##剐 +##剑 +##剔 +##剖 +##剛 +##剜 +##剝 +##剣 +##剤 +##剥 +##剧 +##剩 +##剪 +##副 +##割 +##創 +##剷 +##剽 +##剿 +##劃 +##劇 +##劈 +##劉 +##劊 +##劍 +##劏 +##劑 +##力 +##劝 +##办 +##功 +##加 +##务 +##劣 +##动 +##助 +##努 +##劫 +##劭 +##励 +##劲 +##劳 +##労 +##劵 +##効 +##劾 +##势 +##勁 +##勃 +##勇 +##勉 +##勋 +##勐 +##勒 +##動 +##勖 +##勘 +##務 +##勛 +##勝 +##勞 +##募 +##勢 +##勤 +##勧 +##勳 +##勵 +##勸 +##勺 +##勻 +##勾 +##勿 +##匀 +##包 +##匆 +##匈 +##匍 +##匐 +##匕 +##化 +##北 +##匙 +##匝 +##匠 +##匡 +##匣 +##匪 +##匮 +##匯 +##匱 +##匹 +##区 +##医 +##匾 +##匿 +##區 +##十 +##千 +##卅 +##升 +##午 +##卉 +##半 +##卍 +##华 +##协 +##卑 +##卒 +##卓 +##協 +##单 +##卖 +##南 +##単 +##博 +##卜 +##卞 +##卟 +##占 +##卡 +##卢 +##卤 +##卦 +##卧 +##卫 +##卮 +##卯 +##印 +##危 +##即 +##却 +##卵 +##卷 +##卸 +##卻 +##卿 +##厂 +##厄 +##厅 +##历 +##厉 +##压 +##厌 +##厕 +##厘 +##厚 +##厝 +##原 +##厢 +##厥 +##厦 +##厨 +##厩 +##厭 +##厮 +##厲 +##厳 +##去 +##县 +##叁 +##参 +##參 +##又 +##叉 +##及 +##友 +##双 +##反 +##収 +##发 +##叔 +##取 +##受 +##变 +##叙 +##叛 +##叟 +##叠 +##叡 +##叢 +##口 +##古 +##句 +##另 +##叨 +##叩 +##只 +##叫 +##召 +##叭 +##叮 +##可 +##台 +##叱 +##史 +##右 +##叵 +##叶 +##号 +##司 +##叹 +##叻 +##叼 +##叽 +##吁 +##吃 +##各 +##吆 +##合 +##吉 +##吊 +##吋 +##同 +##名 +##后 +##吏 +##吐 +##向 +##吒 +##吓 +##吕 +##吖 +##吗 +##君 +##吝 +##吞 +##吟 +##吠 +##吡 +##否 +##吧 +##吨 +##吩 +##含 +##听 +##吭 +##吮 +##启 +##吱 +##吳 +##吴 +##吵 +##吶 +##吸 +##吹 +##吻 +##吼 +##吽 +##吾 +##呀 +##呂 +##呃 +##呆 +##呈 +##告 +##呋 +##呎 +##呐 +##呓 +##呕 +##呗 +##员 +##呛 +##呜 +##呢 +##呤 +##呦 +##周 +##呱 +##呲 +##味 +##呵 +##呷 +##呸 +##呻 +##呼 +##命 +##咀 +##咁 +##咂 +##咄 +##咆 +##咋 +##和 +##咎 +##咏 +##咐 +##咒 +##咔 +##咕 +##咖 +##咗 +##咘 +##咙 +##咚 +##咛 +##咣 +##咤 +##咦 +##咧 +##咨 +##咩 +##咪 +##咫 +##咬 +##咭 +##咯 +##咱 +##咲 +##咳 +##咸 +##咻 +##咽 +##咿 +##哀 +##品 +##哂 +##哄 +##哆 +##哇 +##哈 +##哉 +##哋 +##哌 +##响 +##哎 +##哏 +##哐 +##哑 +##哒 +##哔 +##哗 +##哟 +##員 +##哥 +##哦 +##哧 +##哨 +##哩 +##哪 +##哭 +##哮 +##哲 +##哺 +##哼 +##哽 +##唁 +##唄 +##唆 +##唇 +##唉 +##唏 +##唐 +##唑 +##唔 +##唠 +##唤 +##唧 +##唬 +##售 +##唯 +##唰 +##唱 +##唳 +##唷 +##唸 +##唾 +##啃 +##啄 +##商 +##啉 +##啊 +##問 +##啓 +##啕 +##啖 +##啜 +##啞 +##啟 +##啡 +##啤 +##啥 +##啦 +##啧 +##啪 +##啫 +##啬 +##啮 +##啰 +##啱 +##啲 +##啵 +##啶 +##啷 +##啸 +##啻 +##啼 +##啾 +##喀 +##喂 +##喃 +##善 +##喆 +##喇 +##喉 +##喊 +##喋 +##喎 +##喏 +##喔 +##喘 +##喙 +##喚 +##喜 +##喝 +##喟 +##喧 +##喪 +##喫 +##喬 +##單 +##喰 +##喱 +##喲 +##喳 +##喵 +##営 +##喷 +##喹 +##喺 +##喻 +##喽 +##嗅 +##嗆 +##嗇 +##嗎 +##嗑 +##嗒 +##嗓 +##嗔 +##嗖 +##嗚 +##嗜 +##嗝 +##嗟 +##嗡 +##嗣 +##嗤 +##嗦 +##嗨 +##嗪 +##嗬 +##嗯 +##嗰 +##嗲 +##嗳 +##嗶 +##嗷 +##嗽 +##嘀 +##嘅 +##嘆 +##嘈 +##嘉 +##嘌 +##嘍 +##嘎 +##嘔 +##嘖 +##嘗 +##嘘 +##嘚 +##嘛 +##嘜 +##嘞 +##嘟 +##嘢 +##嘣 +##嘤 +##嘧 +##嘩 +##嘭 +##嘮 +##嘯 +##嘰 +##嘱 +##嘲 +##嘴 +##嘶 +##嘸 +##嘹 +##嘻 +##嘿 +##噁 +##噌 +##噎 +##噓 +##噔 +##噗 +##噙 +##噜 +##噠 +##噢 +##噤 +##器 +##噩 +##噪 +##噬 +##噱 +##噴 +##噶 +##噸 +##噹 +##噻 +##噼 +##嚀 +##嚇 +##嚎 +##嚏 +##嚐 +##嚓 +##嚕 +##嚟 +##嚣 +##嚥 +##嚨 +##嚮 +##嚴 +##嚷 +##嚼 +##囂 +##囉 +##囊 +##囍 +##囑 +##囔 +##囗 +##囚 +##四 +##囝 +##回 +##囟 +##因 +##囡 +##团 +##団 +##囤 +##囧 +##囪 +##囫 +##园 +##困 +##囱 +##囲 +##図 +##围 +##囹 +##固 +##国 +##图 +##囿 +##圃 +##圄 +##圆 +##圈 +##國 +##圍 +##圏 +##園 +##圓 +##圖 +##團 +##圜 +##土 +##圣 +##圧 +##在 +##圩 +##圭 +##地 +##圳 +##场 +##圻 +##圾 +##址 +##坂 +##均 +##坊 +##坍 +##坎 +##坏 +##坐 +##坑 +##块 +##坚 +##坛 +##坝 +##坞 +##坟 +##坠 +##坡 +##坤 +##坦 +##坨 +##坪 +##坯 +##坳 +##坵 +##坷 +##垂 +##垃 +##垄 +##型 +##垒 +##垚 +##垛 +##垠 +##垢 +##垣 +##垦 +##垩 +##垫 +##垭 +##垮 +##垵 +##埂 +##埃 +##埋 +##城 +##埔 +##埕 +##埗 +##域 +##埠 +##埤 +##埵 +##執 +##埸 +##培 +##基 +##埼 +##堀 +##堂 +##堃 +##堅 +##堆 +##堇 +##堑 +##堕 +##堙 +##堡 +##堤 +##堪 +##堯 +##堰 +##報 +##場 +##堵 +##堺 +##堿 +##塊 +##塌 +##塑 +##塔 +##塗 +##塘 +##塚 +##塞 +##塢 +##塩 +##填 +##塬 +##塭 +##塵 +##塾 +##墀 +##境 +##墅 +##墉 +##墊 +##墒 +##墓 +##増 +##墘 +##墙 +##墜 +##增 +##墟 +##墨 +##墩 +##墮 +##墳 +##墻 +##墾 +##壁 +##壅 +##壆 +##壇 +##壊 +##壑 +##壓 +##壕 +##壘 +##壞 +##壟 +##壢 +##壤 +##壩 +##士 +##壬 +##壮 +##壯 +##声 +##売 +##壳 +##壶 +##壹 +##壺 +##壽 +##处 +##备 +##変 +##复 +##夏 +##夔 +##夕 +##外 +##夙 +##多 +##夜 +##够 +##夠 +##夢 +##夥 +##大 +##天 +##太 +##夫 +##夭 +##央 +##夯 +##失 +##头 +##夷 +##夸 +##夹 +##夺 +##夾 +##奂 +##奄 +##奇 +##奈 +##奉 +##奋 +##奎 +##奏 +##奐 +##契 +##奔 +##奕 +##奖 +##套 +##奘 +##奚 +##奠 +##奢 +##奥 +##奧 +##奪 +##奬 +##奮 +##女 +##奴 +##奶 +##奸 +##她 +##好 +##如 +##妃 +##妄 +##妆 +##妇 +##妈 +##妊 +##妍 +##妒 +##妓 +##妖 +##妘 +##妙 +##妝 +##妞 +##妣 +##妤 +##妥 +##妨 +##妩 +##妪 +##妮 +##妲 +##妳 +##妹 +##妻 +##妾 +##姆 +##姉 +##姊 +##始 +##姍 +##姐 +##姑 +##姒 +##姓 +##委 +##姗 +##姚 +##姜 +##姝 +##姣 +##姥 +##姦 +##姨 +##姪 +##姫 +##姬 +##姹 +##姻 +##姿 +##威 +##娃 +##娄 +##娅 +##娆 +##娇 +##娉 +##娑 +##娓 +##娘 +##娛 +##娜 +##娟 +##娠 +##娣 +##娥 +##娩 +##娱 +##娲 +##娴 +##娶 +##娼 +##婀 +##婁 +##婆 +##婉 +##婊 +##婕 +##婚 +##婢 +##婦 +##婧 +##婪 +##婭 +##婴 +##婵 +##婶 +##婷 +##婺 +##婿 +##媒 +##媚 +##媛 +##媞 +##媧 +##媲 +##媳 +##媽 +##媾 +##嫁 +##嫂 +##嫉 +##嫌 +##嫑 +##嫔 +##嫖 +##嫘 +##嫚 +##嫡 +##嫣 +##嫦 +##嫩 +##嫲 +##嫵 +##嫻 +##嬅 +##嬉 +##嬌 +##嬗 +##嬛 +##嬢 +##嬤 +##嬪 +##嬰 +##嬴 +##嬷 +##嬸 +##嬿 +##孀 +##孃 +##子 +##孑 +##孔 +##孕 +##孖 +##字 +##存 +##孙 +##孚 +##孛 +##孜 +##孝 +##孟 +##孢 +##季 +##孤 +##学 +##孩 +##孪 +##孫 +##孬 +##孰 +##孱 +##孳 +##孵 +##學 +##孺 +##孽 +##孿 +##宁 +##它 +##宅 +##宇 +##守 +##安 +##宋 +##完 +##宏 +##宓 +##宕 +##宗 +##官 +##宙 +##定 +##宛 +##宜 +##宝 +##实 +##実 +##宠 +##审 +##客 +##宣 +##室 +##宥 +##宦 +##宪 +##宫 +##宮 +##宰 +##害 +##宴 +##宵 +##家 +##宸 +##容 +##宽 +##宾 +##宿 +##寂 +##寄 +##寅 +##密 +##寇 +##富 +##寐 +##寒 +##寓 +##寛 +##寝 +##寞 +##察 +##寡 +##寢 +##寥 +##實 +##寧 +##寨 +##審 +##寫 +##寬 +##寮 +##寰 +##寵 +##寶 +##寸 +##对 +##寺 +##寻 +##导 +##対 +##寿 +##封 +##専 +##射 +##将 +##將 +##專 +##尉 +##尊 +##尋 +##對 +##導 +##小 +##少 +##尔 +##尕 +##尖 +##尘 +##尚 +##尝 +##尤 +##尧 +##尬 +##就 +##尴 +##尷 +##尸 +##尹 +##尺 +##尻 +##尼 +##尽 +##尾 +##尿 +##局 +##屁 +##层 +##屄 +##居 +##屆 +##屈 +##屉 +##届 +##屋 +##屌 +##屍 +##屎 +##屏 +##屐 +##屑 +##展 +##屜 +##属 +##屠 +##屡 +##屢 +##層 +##履 +##屬 +##屯 +##山 +##屹 +##屿 +##岀 +##岁 +##岂 +##岌 +##岐 +##岑 +##岔 +##岖 +##岗 +##岘 +##岙 +##岚 +##岛 +##岡 +##岩 +##岫 +##岬 +##岭 +##岱 +##岳 +##岷 +##岸 +##峇 +##峋 +##峒 +##峙 +##峡 +##峤 +##峥 +##峦 +##峨 +##峪 +##峭 +##峯 +##峰 +##峴 +##島 +##峻 +##峽 +##崁 +##崂 +##崆 +##崇 +##崎 +##崑 +##崔 +##崖 +##崗 +##崙 +##崛 +##崧 +##崩 +##崭 +##崴 +##崽 +##嵇 +##嵊 +##嵋 +##嵌 +##嵐 +##嵘 +##嵩 +##嵬 +##嵯 +##嶂 +##嶄 +##嶇 +##嶋 +##嶙 +##嶺 +##嶼 +##嶽 +##巅 +##巍 +##巒 +##巔 +##巖 +##川 +##州 +##巡 +##巢 +##工 +##左 +##巧 +##巨 +##巩 +##巫 +##差 +##己 +##已 +##巳 +##巴 +##巷 +##巻 +##巽 +##巾 +##巿 +##币 +##市 +##布 +##帅 +##帆 +##师 +##希 +##帐 +##帑 +##帕 +##帖 +##帘 +##帚 +##帛 +##帜 +##帝 +##帥 +##带 +##帧 +##師 +##席 +##帮 +##帯 +##帰 +##帳 +##帶 +##帷 +##常 +##帼 +##帽 +##幀 +##幂 +##幄 +##幅 +##幌 +##幔 +##幕 +##幟 +##幡 +##幢 +##幣 +##幫 +##干 +##平 +##年 +##并 +##幸 +##幹 +##幺 +##幻 +##幼 +##幽 +##幾 +##广 +##庁 +##広 +##庄 +##庆 +##庇 +##床 +##序 +##庐 +##库 +##应 +##底 +##庖 +##店 +##庙 +##庚 +##府 +##庞 +##废 +##庠 +##度 +##座 +##庫 +##庭 +##庵 +##庶 +##康 +##庸 +##庹 +##庾 +##廁 +##廂 +##廃 +##廈 +##廉 +##廊 +##廓 +##廖 +##廚 +##廝 +##廟 +##廠 +##廢 +##廣 +##廬 +##廳 +##延 +##廷 +##建 +##廿 +##开 +##弁 +##异 +##弃 +##弄 +##弈 +##弊 +##弋 +##式 +##弑 +##弒 +##弓 +##弔 +##引 +##弗 +##弘 +##弛 +##弟 +##张 +##弥 +##弦 +##弧 +##弩 +##弭 +##弯 +##弱 +##張 +##強 +##弹 +##强 +##弼 +##弾 +##彅 +##彆 +##彈 +##彌 +##彎 +##归 +##当 +##录 +##彗 +##彙 +##彝 +##形 +##彤 +##彥 +##彦 +##彧 +##彩 +##彪 +##彫 +##彬 +##彭 +##彰 +##影 +##彷 +##役 +##彻 +##彼 +##彿 +##往 +##征 +##径 +##待 +##徇 +##很 +##徉 +##徊 +##律 +##後 +##徐 +##徑 +##徒 +##従 +##徕 +##得 +##徘 +##徙 +##徜 +##從 +##徠 +##御 +##徨 +##復 +##循 +##徬 +##微 +##徳 +##徴 +##徵 +##德 +##徹 +##徼 +##徽 +##心 +##必 +##忆 +##忌 +##忍 +##忏 +##忐 +##忑 +##忒 +##忖 +##志 +##忘 +##忙 +##応 +##忠 +##忡 +##忤 +##忧 +##忪 +##快 +##忱 +##念 +##忻 +##忽 +##忿 +##怀 +##态 +##怂 +##怅 +##怆 +##怎 +##怏 +##怒 +##怔 +##怕 +##怖 +##怙 +##怜 +##思 +##怠 +##怡 +##急 +##怦 +##性 +##怨 +##怪 +##怯 +##怵 +##总 +##怼 +##恁 +##恃 +##恆 +##恋 +##恍 +##恐 +##恒 +##恕 +##恙 +##恚 +##恢 +##恣 +##恤 +##恥 +##恨 +##恩 +##恪 +##恫 +##恬 +##恭 +##息 +##恰 +##恳 +##恵 +##恶 +##恸 +##恺 +##恻 +##恼 +##恿 +##悄 +##悅 +##悉 +##悌 +##悍 +##悔 +##悖 +##悚 +##悟 +##悠 +##患 +##悦 +##您 +##悩 +##悪 +##悬 +##悯 +##悱 +##悲 +##悴 +##悵 +##悶 +##悸 +##悻 +##悼 +##悽 +##情 +##惆 +##惇 +##惊 +##惋 +##惑 +##惕 +##惘 +##惚 +##惜 +##惟 +##惠 +##惡 +##惦 +##惧 +##惨 +##惩 +##惫 +##惬 +##惭 +##惮 +##惯 +##惰 +##惱 +##想 +##惴 +##惶 +##惹 +##惺 +##愁 +##愆 +##愈 +##愉 +##愍 +##意 +##愕 +##愚 +##愛 +##愜 +##感 +##愣 +##愤 +##愧 +##愫 +##愷 +##愿 +##慄 +##慈 +##態 +##慌 +##慎 +##慑 +##慕 +##慘 +##慚 +##慟 +##慢 +##慣 +##慧 +##慨 +##慫 +##慮 +##慰 +##慳 +##慵 +##慶 +##慷 +##慾 +##憂 +##憊 +##憋 +##憎 +##憐 +##憑 +##憔 +##憚 +##憤 +##憧 +##憨 +##憩 +##憫 +##憬 +##憲 +##憶 +##憾 +##懂 +##懇 +##懈 +##應 +##懊 +##懋 +##懑 +##懒 +##懦 +##懲 +##懵 +##懶 +##懷 +##懸 +##懺 +##懼 +##懾 +##懿 +##戀 +##戈 +##戊 +##戌 +##戍 +##戎 +##戏 +##成 +##我 +##戒 +##戕 +##或 +##战 +##戚 +##戛 +##戟 +##戡 +##戦 +##截 +##戬 +##戮 +##戰 +##戲 +##戳 +##戴 +##戶 +##户 +##戸 +##戻 +##戾 +##房 +##所 +##扁 +##扇 +##扈 +##扉 +##手 +##才 +##扎 +##扑 +##扒 +##打 +##扔 +##払 +##托 +##扛 +##扣 +##扦 +##执 +##扩 +##扪 +##扫 +##扬 +##扭 +##扮 +##扯 +##扰 +##扱 +##扳 +##扶 +##批 +##扼 +##找 +##承 +##技 +##抄 +##抉 +##把 +##抑 +##抒 +##抓 +##投 +##抖 +##抗 +##折 +##抚 +##抛 +##抜 +##択 +##抟 +##抠 +##抡 +##抢 +##护 +##报 +##抨 +##披 +##抬 +##抱 +##抵 +##抹 +##押 +##抽 +##抿 +##拂 +##拄 +##担 +##拆 +##拇 +##拈 +##拉 +##拋 +##拌 +##拍 +##拎 +##拐 +##拒 +##拓 +##拔 +##拖 +##拗 +##拘 +##拙 +##拚 +##招 +##拜 +##拟 +##拡 +##拢 +##拣 +##拥 +##拦 +##拧 +##拨 +##择 +##括 +##拭 +##拮 +##拯 +##拱 +##拳 +##拴 +##拷 +##拼 +##拽 +##拾 +##拿 +##持 +##挂 +##指 +##挈 +##按 +##挎 +##挑 +##挖 +##挙 +##挚 +##挛 +##挝 +##挞 +##挟 +##挠 +##挡 +##挣 +##挤 +##挥 +##挨 +##挪 +##挫 +##振 +##挲 +##挹 +##挺 +##挽 +##挾 +##捂 +##捅 +##捆 +##捉 +##捋 +##捌 +##捍 +##捎 +##捏 +##捐 +##捕 +##捞 +##损 +##捡 +##换 +##捣 +##捧 +##捨 +##捩 +##据 +##捱 +##捲 +##捶 +##捷 +##捺 +##捻 +##掀 +##掂 +##掃 +##掇 +##授 +##掉 +##掌 +##掏 +##掐 +##排 +##掖 +##掘 +##掙 +##掛 +##掠 +##採 +##探 +##掣 +##接 +##控 +##推 +##掩 +##措 +##掬 +##掰 +##掲 +##掳 +##掴 +##掷 +##掸 +##掺 +##揀 +##揃 +##揄 +##揆 +##揉 +##揍 +##描 +##提 +##插 +##揖 +##揚 +##換 +##握 +##揣 +##揩 +##揪 +##揭 +##揮 +##援 +##揶 +##揸 +##揹 +##揽 +##搀 +##搁 +##搂 +##搅 +##損 +##搏 +##搐 +##搓 +##搔 +##搖 +##搗 +##搜 +##搞 +##搡 +##搪 +##搬 +##搭 +##搵 +##搶 +##携 +##搽 +##摀 +##摁 +##摄 +##摆 +##摇 +##摈 +##摊 +##摒 +##摔 +##摘 +##摞 +##摟 +##摧 +##摩 +##摯 +##摳 +##摸 +##摹 +##摺 +##摻 +##撂 +##撃 +##撅 +##撇 +##撈 +##撐 +##撑 +##撒 +##撓 +##撕 +##撚 +##撞 +##撤 +##撥 +##撩 +##撫 +##撬 +##播 +##撮 +##撰 +##撲 +##撵 +##撷 +##撸 +##撻 +##撼 +##撿 +##擀 +##擁 +##擂 +##擄 +##擅 +##擇 +##擊 +##擋 +##操 +##擎 +##擒 +##擔 +##擘 +##據 +##擞 +##擠 +##擡 +##擢 +##擦 +##擬 +##擰 +##擱 +##擲 +##擴 +##擷 +##擺 +##擼 +##擾 +##攀 +##攏 +##攒 +##攔 +##攘 +##攙 +##攜 +##攝 +##攞 +##攢 +##攣 +##攤 +##攥 +##攪 +##攫 +##攬 +##支 +##收 +##攸 +##改 +##攻 +##放 +##政 +##故 +##效 +##敌 +##敍 +##敎 +##敏 +##救 +##敕 +##敖 +##敗 +##敘 +##教 +##敛 +##敝 +##敞 +##敢 +##散 +##敦 +##敬 +##数 +##敲 +##整 +##敵 +##敷 +##數 +##斂 +##斃 +##文 +##斋 +##斌 +##斎 +##斐 +##斑 +##斓 +##斗 +##料 +##斛 +##斜 +##斟 +##斡 +##斤 +##斥 +##斧 +##斩 +##斫 +##斬 +##断 +##斯 +##新 +##斷 +##方 +##於 +##施 +##旁 +##旃 +##旅 +##旋 +##旌 +##旎 +##族 +##旖 +##旗 +##无 +##既 +##日 +##旦 +##旧 +##旨 +##早 +##旬 +##旭 +##旮 +##旱 +##时 +##旷 +##旺 +##旻 +##昀 +##昂 +##昆 +##昇 +##昉 +##昊 +##昌 +##明 +##昏 +##易 +##昔 +##昕 +##昙 +##星 +##映 +##春 +##昧 +##昨 +##昭 +##是 +##昱 +##昴 +##昵 +##昶 +##昼 +##显 +##晁 +##時 +##晃 +##晉 +##晋 +##晌 +##晏 +##晒 +##晓 +##晔 +##晕 +##晖 +##晗 +##晚 +##晝 +##晞 +##晟 +##晤 +##晦 +##晨 +##晩 +##普 +##景 +##晰 +##晴 +##晶 +##晷 +##智 +##晾 +##暂 +##暄 +##暇 +##暈 +##暉 +##暌 +##暐 +##暑 +##暖 +##暗 +##暝 +##暢 +##暧 +##暨 +##暫 +##暮 +##暱 +##暴 +##暸 +##暹 +##曄 +##曆 +##曇 +##曉 +##曖 +##曙 +##曜 +##曝 +##曠 +##曦 +##曬 +##曰 +##曲 +##曳 +##更 +##書 +##曹 +##曼 +##曾 +##替 +##最 +##會 +##月 +##有 +##朋 +##服 +##朐 +##朔 +##朕 +##朗 +##望 +##朝 +##期 +##朦 +##朧 +##木 +##未 +##末 +##本 +##札 +##朮 +##术 +##朱 +##朴 +##朵 +##机 +##朽 +##杀 +##杂 +##权 +##杆 +##杈 +##杉 +##李 +##杏 +##材 +##村 +##杓 +##杖 +##杜 +##杞 +##束 +##杠 +##条 +##来 +##杨 +##杭 +##杯 +##杰 +##東 +##杳 +##杵 +##杷 +##杼 +##松 +##板 +##极 +##构 +##枇 +##枉 +##枋 +##析 +##枕 +##林 +##枚 +##果 +##枝 +##枢 +##枣 +##枪 +##枫 +##枭 +##枯 +##枰 +##枱 +##枳 +##架 +##枷 +##枸 +##柄 +##柏 +##某 +##柑 +##柒 +##染 +##柔 +##柘 +##柚 +##柜 +##柞 +##柠 +##柢 +##查 +##柩 +##柬 +##柯 +##柱 +##柳 +##柴 +##柵 +##査 +##柿 +##栀 +##栃 +##栄 +##栅 +##标 +##栈 +##栉 +##栋 +##栎 +##栏 +##树 +##栓 +##栖 +##栗 +##校 +##栩 +##株 +##样 +##核 +##根 +##格 +##栽 +##栾 +##桀 +##桁 +##桂 +##桃 +##桅 +##框 +##案 +##桉 +##桌 +##桎 +##桐 +##桑 +##桓 +##桔 +##桜 +##桠 +##桡 +##桢 +##档 +##桥 +##桦 +##桧 +##桨 +##桩 +##桶 +##桿 +##梁 +##梅 +##梆 +##梏 +##梓 +##梗 +##條 +##梟 +##梢 +##梦 +##梧 +##梨 +##梭 +##梯 +##械 +##梳 +##梵 +##梶 +##检 +##棂 +##棄 +##棉 +##棋 +##棍 +##棒 +##棕 +##棗 +##棘 +##棚 +##棟 +##棠 +##棣 +##棧 +##森 +##棱 +##棲 +##棵 +##棹 +##棺 +##椁 +##椅 +##椋 +##植 +##椎 +##椒 +##検 +##椪 +##椭 +##椰 +##椹 +##椽 +##椿 +##楂 +##楊 +##楓 +##楔 +##楚 +##楝 +##楞 +##楠 +##楣 +##楨 +##楫 +##業 +##楮 +##極 +##楷 +##楸 +##楹 +##楼 +##楽 +##概 +##榄 +##榆 +##榈 +##榉 +##榔 +##榕 +##榖 +##榛 +##榜 +##榨 +##榫 +##榭 +##榮 +##榱 +##榴 +##榷 +##榻 +##槁 +##槃 +##構 +##槌 +##槍 +##槎 +##槐 +##槓 +##様 +##槛 +##槟 +##槤 +##槭 +##槲 +##槳 +##槻 +##槽 +##槿 +##樁 +##樂 +##樊 +##樑 +##樓 +##標 +##樞 +##樟 +##模 +##樣 +##権 +##横 +##樫 +##樯 +##樱 +##樵 +##樸 +##樹 +##樺 +##樽 +##樾 +##橄 +##橇 +##橋 +##橐 +##橘 +##橙 +##機 +##橡 +##橢 +##橫 +##橱 +##橹 +##橼 +##檀 +##檄 +##檎 +##檐 +##檔 +##檗 +##檜 +##檢 +##檬 +##檯 +##檳 +##檸 +##檻 +##櫃 +##櫚 +##櫛 +##櫥 +##櫸 +##櫻 +##欄 +##權 +##欒 +##欖 +##欠 +##次 +##欢 +##欣 +##欧 +##欲 +##欸 +##欺 +##欽 +##款 +##歆 +##歇 +##歉 +##歌 +##歎 +##歐 +##歓 +##歙 +##歛 +##歡 +##止 +##正 +##此 +##步 +##武 +##歧 +##歩 +##歪 +##歯 +##歲 +##歳 +##歴 +##歷 +##歸 +##歹 +##死 +##歼 +##殁 +##殃 +##殆 +##殇 +##殉 +##殊 +##残 +##殒 +##殓 +##殖 +##殘 +##殞 +##殡 +##殤 +##殭 +##殯 +##殲 +##殴 +##段 +##殷 +##殺 +##殼 +##殿 +##毀 +##毁 +##毂 +##毅 +##毆 +##毋 +##母 +##毎 +##每 +##毒 +##毓 +##比 +##毕 +##毗 +##毘 +##毙 +##毛 +##毡 +##毫 +##毯 +##毽 +##氈 +##氏 +##氐 +##民 +##氓 +##气 +##氖 +##気 +##氙 +##氛 +##氟 +##氡 +##氢 +##氣 +##氤 +##氦 +##氧 +##氨 +##氪 +##氫 +##氮 +##氯 +##氰 +##氲 +##水 +##氷 +##永 +##氹 +##氾 +##汀 +##汁 +##求 +##汆 +##汇 +##汉 +##汎 +##汐 +##汕 +##汗 +##汙 +##汛 +##汝 +##汞 +##江 +##池 +##污 +##汤 +##汨 +##汩 +##汪 +##汰 +##汲 +##汴 +##汶 +##汹 +##決 +##汽 +##汾 +##沁 +##沂 +##沃 +##沅 +##沈 +##沉 +##沌 +##沏 +##沐 +##沒 +##沓 +##沖 +##沙 +##沛 +##沟 +##没 +##沢 +##沣 +##沥 +##沦 +##沧 +##沪 +##沫 +##沭 +##沮 +##沱 +##河 +##沸 +##油 +##治 +##沼 +##沽 +##沾 +##沿 +##況 +##泄 +##泉 +##泊 +##泌 +##泓 +##法 +##泗 +##泛 +##泞 +##泠 +##泡 +##波 +##泣 +##泥 +##注 +##泪 +##泫 +##泮 +##泯 +##泰 +##泱 +##泳 +##泵 +##泷 +##泸 +##泻 +##泼 +##泽 +##泾 +##洁 +##洄 +##洋 +##洒 +##洗 +##洙 +##洛 +##洞 +##津 +##洩 +##洪 +##洮 +##洱 +##洲 +##洵 +##洶 +##洸 +##洹 +##活 +##洼 +##洽 +##派 +##流 +##浃 +##浄 +##浅 +##浆 +##浇 +##浊 +##测 +##济 +##浏 +##浑 +##浒 +##浓 +##浔 +##浙 +##浚 +##浜 +##浣 +##浦 +##浩 +##浪 +##浬 +##浮 +##浯 +##浴 +##海 +##浸 +##涂 +##涅 +##涇 +##消 +##涉 +##涌 +##涎 +##涓 +##涔 +##涕 +##涙 +##涛 +##涝 +##涞 +##涟 +##涠 +##涡 +##涣 +##涤 +##润 +##涧 +##涨 +##涩 +##涪 +##涮 +##涯 +##液 +##涵 +##涸 +##涼 +##涿 +##淀 +##淄 +##淅 +##淆 +##淇 +##淋 +##淌 +##淑 +##淒 +##淖 +##淘 +##淙 +##淚 +##淞 +##淡 +##淤 +##淦 +##淨 +##淩 +##淪 +##淫 +##淬 +##淮 +##深 +##淳 +##淵 +##混 +##淹 +##淺 +##添 +##淼 +##清 +##済 +##渉 +##渊 +##渋 +##渍 +##渎 +##渐 +##渔 +##渗 +##渙 +##渚 +##減 +##渝 +##渠 +##渡 +##渣 +##渤 +##渥 +##渦 +##温 +##測 +##渭 +##港 +##渲 +##渴 +##游 +##渺 +##渾 +##湃 +##湄 +##湊 +##湍 +##湖 +##湘 +##湛 +##湟 +##湧 +##湫 +##湮 +##湯 +##湳 +##湾 +##湿 +##満 +##溃 +##溅 +##溉 +##溏 +##源 +##準 +##溜 +##溝 +##溟 +##溢 +##溥 +##溧 +##溪 +##溫 +##溯 +##溱 +##溴 +##溶 +##溺 +##溼 +##滁 +##滂 +##滄 +##滅 +##滇 +##滋 +##滌 +##滑 +##滓 +##滔 +##滕 +##滙 +##滚 +##滝 +##滞 +##滟 +##满 +##滢 +##滤 +##滥 +##滦 +##滨 +##滩 +##滬 +##滯 +##滲 +##滴 +##滷 +##滸 +##滾 +##滿 +##漁 +##漂 +##漆 +##漉 +##漏 +##漓 +##演 +##漕 +##漠 +##漢 +##漣 +##漩 +##漪 +##漫 +##漬 +##漯 +##漱 +##漲 +##漳 +##漸 +##漾 +##漿 +##潆 +##潇 +##潋 +##潍 +##潑 +##潔 +##潘 +##潛 +##潜 +##潞 +##潟 +##潢 +##潤 +##潦 +##潧 +##潭 +##潮 +##潰 +##潴 +##潸 +##潺 +##潼 +##澀 +##澄 +##澆 +##澈 +##澍 +##澎 +##澗 +##澜 +##澡 +##澤 +##澧 +##澱 +##澳 +##澹 +##激 +##濁 +##濂 +##濃 +##濑 +##濒 +##濕 +##濘 +##濛 +##濟 +##濠 +##濡 +##濤 +##濫 +##濬 +##濮 +##濯 +##濱 +##濺 +##濾 +##瀅 +##瀆 +##瀉 +##瀋 +##瀏 +##瀑 +##瀕 +##瀘 +##瀚 +##瀛 +##瀝 +##瀞 +##瀟 +##瀧 +##瀨 +##瀬 +##瀰 +##瀾 +##灌 +##灏 +##灑 +##灘 +##灝 +##灞 +##灣 +##火 +##灬 +##灭 +##灯 +##灰 +##灵 +##灶 +##灸 +##灼 +##災 +##灾 +##灿 +##炀 +##炁 +##炅 +##炉 +##炊 +##炎 +##炒 +##炔 +##炕 +##炖 +##炙 +##炜 +##炫 +##炬 +##炭 +##炮 +##炯 +##炳 +##炷 +##炸 +##点 +##為 +##炼 +##炽 +##烁 +##烂 +##烃 +##烈 +##烊 +##烏 +##烘 +##烙 +##烛 +##烟 +##烤 +##烦 +##烧 +##烨 +##烩 +##烫 +##烬 +##热 +##烯 +##烷 +##烹 +##烽 +##焉 +##焊 +##焕 +##焖 +##焗 +##焘 +##焙 +##焚 +##焜 +##無 +##焦 +##焯 +##焰 +##焱 +##然 +##焼 +##煅 +##煉 +##煊 +##煌 +##煎 +##煒 +##煖 +##煙 +##煜 +##煞 +##煤 +##煥 +##煦 +##照 +##煨 +##煩 +##煮 +##煲 +##煸 +##煽 +##熄 +##熊 +##熏 +##熒 +##熔 +##熙 +##熟 +##熠 +##熨 +##熬 +##熱 +##熵 +##熹 +##熾 +##燁 +##燃 +##燄 +##燈 +##燉 +##燊 +##燎 +##燒 +##燔 +##燕 +##燙 +##燜 +##營 +##燥 +##燦 +##燧 +##燭 +##燮 +##燴 +##燻 +##燼 +##燿 +##爆 +##爍 +##爐 +##爛 +##爪 +##爬 +##爭 +##爰 +##爱 +##爲 +##爵 +##父 +##爷 +##爸 +##爹 +##爺 +##爻 +##爽 +##爾 +##牆 +##片 +##版 +##牌 +##牍 +##牒 +##牙 +##牛 +##牝 +##牟 +##牠 +##牡 +##牢 +##牦 +##牧 +##物 +##牯 +##牲 +##牴 +##牵 +##特 +##牺 +##牽 +##犀 +##犁 +##犄 +##犊 +##犍 +##犒 +##犢 +##犧 +##犬 +##犯 +##状 +##犷 +##犸 +##犹 +##狀 +##狂 +##狄 +##狈 +##狎 +##狐 +##狒 +##狗 +##狙 +##狞 +##狠 +##狡 +##狩 +##独 +##狭 +##狮 +##狰 +##狱 +##狸 +##狹 +##狼 +##狽 +##猎 +##猕 +##猖 +##猗 +##猙 +##猛 +##猜 +##猝 +##猥 +##猩 +##猪 +##猫 +##猬 +##献 +##猴 +##猶 +##猷 +##猾 +##猿 +##獄 +##獅 +##獎 +##獐 +##獒 +##獗 +##獠 +##獣 +##獨 +##獭 +##獰 +##獲 +##獵 +##獷 +##獸 +##獺 +##獻 +##獼 +##獾 +##玄 +##率 +##玉 +##王 +##玑 +##玖 +##玛 +##玟 +##玠 +##玥 +##玩 +##玫 +##玮 +##环 +##现 +##玲 +##玳 +##玷 +##玺 +##玻 +##珀 +##珂 +##珅 +##珈 +##珉 +##珊 +##珍 +##珏 +##珐 +##珑 +##珙 +##珞 +##珠 +##珣 +##珥 +##珩 +##珪 +##班 +##珮 +##珲 +##珺 +##現 +##球 +##琅 +##理 +##琇 +##琉 +##琊 +##琍 +##琏 +##琐 +##琛 +##琢 +##琥 +##琦 +##琨 +##琪 +##琬 +##琮 +##琰 +##琲 +##琳 +##琴 +##琵 +##琶 +##琺 +##琼 +##瑀 +##瑁 +##瑄 +##瑋 +##瑕 +##瑗 +##瑙 +##瑚 +##瑛 +##瑜 +##瑞 +##瑟 +##瑠 +##瑣 +##瑤 +##瑩 +##瑪 +##瑯 +##瑰 +##瑶 +##瑾 +##璀 +##璁 +##璃 +##璇 +##璉 +##璋 +##璎 +##璐 +##璜 +##璞 +##璟 +##璧 +##璨 +##環 +##璽 +##璿 +##瓊 +##瓏 +##瓒 +##瓜 +##瓢 +##瓣 +##瓤 +##瓦 +##瓮 +##瓯 +##瓴 +##瓶 +##瓷 +##甄 +##甌 +##甕 +##甘 +##甙 +##甚 +##甜 +##生 +##產 +##産 +##甥 +##甦 +##用 +##甩 +##甫 +##甬 +##甭 +##甯 +##田 +##由 +##甲 +##申 +##电 +##男 +##甸 +##町 +##画 +##甾 +##畀 +##畅 +##界 +##畏 +##畑 +##畔 +##留 +##畜 +##畝 +##畢 +##略 +##畦 +##番 +##畫 +##異 +##畲 +##畳 +##畴 +##當 +##畸 +##畹 +##畿 +##疆 +##疇 +##疊 +##疏 +##疑 +##疔 +##疖 +##疗 +##疙 +##疚 +##疝 +##疟 +##疡 +##疣 +##疤 +##疥 +##疫 +##疮 +##疯 +##疱 +##疲 +##疳 +##疵 +##疸 +##疹 +##疼 +##疽 +##疾 +##痂 +##病 +##症 +##痈 +##痉 +##痊 +##痍 +##痒 +##痔 +##痕 +##痘 +##痙 +##痛 +##痞 +##痠 +##痢 +##痣 +##痤 +##痧 +##痨 +##痪 +##痫 +##痰 +##痱 +##痴 +##痹 +##痺 +##痼 +##痿 +##瘀 +##瘁 +##瘋 +##瘍 +##瘓 +##瘘 +##瘙 +##瘟 +##瘠 +##瘡 +##瘢 +##瘤 +##瘦 +##瘧 +##瘩 +##瘪 +##瘫 +##瘴 +##瘸 +##瘾 +##療 +##癇 +##癌 +##癒 +##癖 +##癜 +##癞 +##癡 +##癢 +##癣 +##癥 +##癫 +##癬 +##癮 +##癱 +##癲 +##癸 +##発 +##登 +##發 +##白 +##百 +##皂 +##的 +##皆 +##皇 +##皈 +##皋 +##皎 +##皑 +##皓 +##皖 +##皙 +##皚 +##皮 +##皰 +##皱 +##皴 +##皺 +##皿 +##盂 +##盃 +##盅 +##盆 +##盈 +##益 +##盎 +##盏 +##盐 +##监 +##盒 +##盔 +##盖 +##盗 +##盘 +##盛 +##盜 +##盞 +##盟 +##盡 +##監 +##盤 +##盥 +##盧 +##盪 +##目 +##盯 +##盱 +##盲 +##直 +##相 +##盹 +##盼 +##盾 +##省 +##眈 +##眉 +##看 +##県 +##眙 +##眞 +##真 +##眠 +##眦 +##眨 +##眩 +##眯 +##眶 +##眷 +##眸 +##眺 +##眼 +##眾 +##着 +##睁 +##睇 +##睏 +##睐 +##睑 +##睛 +##睜 +##睞 +##睡 +##睢 +##督 +##睥 +##睦 +##睨 +##睪 +##睫 +##睬 +##睹 +##睽 +##睾 +##睿 +##瞄 +##瞅 +##瞇 +##瞋 +##瞌 +##瞎 +##瞑 +##瞒 +##瞓 +##瞞 +##瞟 +##瞠 +##瞥 +##瞧 +##瞩 +##瞪 +##瞬 +##瞭 +##瞰 +##瞳 +##瞻 +##瞼 +##瞿 +##矇 +##矍 +##矗 +##矚 +##矛 +##矜 +##矢 +##矣 +##知 +##矩 +##矫 +##短 +##矮 +##矯 +##石 +##矶 +##矽 +##矾 +##矿 +##码 +##砂 +##砌 +##砍 +##砒 +##研 +##砖 +##砗 +##砚 +##砝 +##砣 +##砥 +##砧 +##砭 +##砰 +##砲 +##破 +##砷 +##砸 +##砺 +##砼 +##砾 +##础 +##硅 +##硐 +##硒 +##硕 +##硝 +##硫 +##硬 +##确 +##硯 +##硼 +##碁 +##碇 +##碉 +##碌 +##碍 +##碎 +##碑 +##碓 +##碗 +##碘 +##碚 +##碛 +##碟 +##碣 +##碧 +##碩 +##碰 +##碱 +##碳 +##碴 +##確 +##碼 +##碾 +##磁 +##磅 +##磊 +##磋 +##磐 +##磕 +##磚 +##磡 +##磨 +##磬 +##磯 +##磲 +##磷 +##磺 +##礁 +##礎 +##礙 +##礡 +##礦 +##礪 +##礫 +##礴 +##示 +##礼 +##社 +##祀 +##祁 +##祂 +##祇 +##祈 +##祉 +##祎 +##祐 +##祕 +##祖 +##祗 +##祚 +##祛 +##祜 +##祝 +##神 +##祟 +##祠 +##祢 +##祥 +##票 +##祭 +##祯 +##祷 +##祸 +##祺 +##祿 +##禀 +##禁 +##禄 +##禅 +##禍 +##禎 +##福 +##禛 +##禦 +##禧 +##禪 +##禮 +##禱 +##禹 +##禺 +##离 +##禽 +##禾 +##禿 +##秀 +##私 +##秃 +##秆 +##秉 +##秋 +##种 +##科 +##秒 +##秘 +##租 +##秣 +##秤 +##秦 +##秧 +##秩 +##秭 +##积 +##称 +##秸 +##移 +##秽 +##稀 +##稅 +##程 +##稍 +##税 +##稔 +##稗 +##稚 +##稜 +##稞 +##稟 +##稠 +##稣 +##種 +##稱 +##稲 +##稳 +##稷 +##稹 +##稻 +##稼 +##稽 +##稿 +##穀 +##穂 +##穆 +##穌 +##積 +##穎 +##穗 +##穢 +##穩 +##穫 +##穴 +##究 +##穷 +##穹 +##空 +##穿 +##突 +##窃 +##窄 +##窈 +##窍 +##窑 +##窒 +##窓 +##窕 +##窖 +##窗 +##窘 +##窜 +##窝 +##窟 +##窠 +##窥 +##窦 +##窨 +##窩 +##窪 +##窮 +##窯 +##窺 +##窿 +##竄 +##竅 +##竇 +##竊 +##立 +##竖 +##站 +##竜 +##竞 +##竟 +##章 +##竣 +##童 +##竭 +##端 +##競 +##竹 +##竺 +##竽 +##竿 +##笃 +##笆 +##笈 +##笋 +##笏 +##笑 +##笔 +##笙 +##笛 +##笞 +##笠 +##符 +##笨 +##第 +##笹 +##笺 +##笼 +##筆 +##等 +##筊 +##筋 +##筍 +##筏 +##筐 +##筑 +##筒 +##答 +##策 +##筛 +##筝 +##筠 +##筱 +##筲 +##筵 +##筷 +##筹 +##签 +##简 +##箇 +##箋 +##箍 +##箏 +##箐 +##箔 +##箕 +##算 +##箝 +##管 +##箩 +##箫 +##箭 +##箱 +##箴 +##箸 +##節 +##篁 +##範 +##篆 +##篇 +##築 +##篑 +##篓 +##篙 +##篝 +##篠 +##篡 +##篤 +##篩 +##篪 +##篮 +##篱 +##篷 +##簇 +##簌 +##簍 +##簡 +##簦 +##簧 +##簪 +##簫 +##簷 +##簸 +##簽 +##簾 +##簿 +##籁 +##籃 +##籌 +##籍 +##籐 +##籟 +##籠 +##籤 +##籬 +##籮 +##籲 +##米 +##类 +##籼 +##籽 +##粄 +##粉 +##粑 +##粒 +##粕 +##粗 +##粘 +##粟 +##粤 +##粥 +##粧 +##粪 +##粮 +##粱 +##粲 +##粳 +##粵 +##粹 +##粼 +##粽 +##精 +##粿 +##糅 +##糊 +##糍 +##糕 +##糖 +##糗 +##糙 +##糜 +##糞 +##糟 +##糠 +##糧 +##糬 +##糯 +##糰 +##糸 +##系 +##糾 +##紀 +##紂 +##約 +##紅 +##紉 +##紊 +##紋 +##納 +##紐 +##紓 +##純 +##紗 +##紘 +##紙 +##級 +##紛 +##紜 +##素 +##紡 +##索 +##紧 +##紫 +##紮 +##累 +##細 +##紳 +##紹 +##紺 +##終 +##絃 +##組 +##絆 +##経 +##結 +##絕 +##絞 +##絡 +##絢 +##給 +##絨 +##絮 +##統 +##絲 +##絳 +##絵 +##絶 +##絹 +##綁 +##綏 +##綑 +##經 +##継 +##続 +##綜 +##綠 +##綢 +##綦 +##綫 +##綬 +##維 +##綱 +##網 +##綴 +##綵 +##綸 +##綺 +##綻 +##綽 +##綾 +##綿 +##緊 +##緋 +##総 +##緑 +##緒 +##緘 +##線 +##緝 +##緞 +##締 +##緣 +##編 +##緩 +##緬 +##緯 +##練 +##緹 +##緻 +##縁 +##縄 +##縈 +##縛 +##縝 +##縣 +##縫 +##縮 +##縱 +##縴 +##縷 +##總 +##績 +##繁 +##繃 +##繆 +##繇 +##繋 +##織 +##繕 +##繚 +##繞 +##繡 +##繩 +##繪 +##繫 +##繭 +##繳 +##繹 +##繼 +##繽 +##纂 +##續 +##纍 +##纏 +##纓 +##纔 +##纖 +##纜 +##纠 +##红 +##纣 +##纤 +##约 +##级 +##纨 +##纪 +##纫 +##纬 +##纭 +##纯 +##纰 +##纱 +##纲 +##纳 +##纵 +##纶 +##纷 +##纸 +##纹 +##纺 +##纽 +##纾 +##线 +##绀 +##练 +##组 +##绅 +##细 +##织 +##终 +##绊 +##绍 +##绎 +##经 +##绑 +##绒 +##结 +##绔 +##绕 +##绘 +##给 +##绚 +##绛 +##络 +##绝 +##绞 +##统 +##绡 +##绢 +##绣 +##绥 +##绦 +##继 +##绩 +##绪 +##绫 +##续 +##绮 +##绯 +##绰 +##绳 +##维 +##绵 +##绶 +##绷 +##绸 +##绻 +##综 +##绽 +##绾 +##绿 +##缀 +##缄 +##缅 +##缆 +##缇 +##缈 +##缉 +##缎 +##缓 +##缔 +##缕 +##编 +##缘 +##缙 +##缚 +##缜 +##缝 +##缠 +##缢 +##缤 +##缥 +##缨 +##缩 +##缪 +##缭 +##缮 +##缰 +##缱 +##缴 +##缸 +##缺 +##缽 +##罂 +##罄 +##罌 +##罐 +##网 +##罔 +##罕 +##罗 +##罚 +##罡 +##罢 +##罩 +##罪 +##置 +##罰 +##署 +##罵 +##罷 +##罹 +##羁 +##羅 +##羈 +##羊 +##羌 +##美 +##羔 +##羚 +##羞 +##羟 +##羡 +##羣 +##群 +##羥 +##羧 +##羨 +##義 +##羯 +##羲 +##羸 +##羹 +##羽 +##羿 +##翁 +##翅 +##翊 +##翌 +##翎 +##習 +##翔 +##翘 +##翟 +##翠 +##翡 +##翦 +##翩 +##翰 +##翱 +##翳 +##翹 +##翻 +##翼 +##耀 +##老 +##考 +##耄 +##者 +##耆 +##耋 +##而 +##耍 +##耐 +##耒 +##耕 +##耗 +##耘 +##耙 +##耦 +##耨 +##耳 +##耶 +##耷 +##耸 +##耻 +##耽 +##耿 +##聂 +##聆 +##聊 +##聋 +##职 +##聒 +##联 +##聖 +##聘 +##聚 +##聞 +##聪 +##聯 +##聰 +##聲 +##聳 +##聴 +##聶 +##職 +##聽 +##聾 +##聿 +##肃 +##肄 +##肅 +##肆 +##肇 +##肉 +##肋 +##肌 +##肏 +##肓 +##肖 +##肘 +##肚 +##肛 +##肝 +##肠 +##股 +##肢 +##肤 +##肥 +##肩 +##肪 +##肮 +##肯 +##肱 +##育 +##肴 +##肺 +##肽 +##肾 +##肿 +##胀 +##胁 +##胃 +##胄 +##胆 +##背 +##胍 +##胎 +##胖 +##胚 +##胛 +##胜 +##胝 +##胞 +##胡 +##胤 +##胥 +##胧 +##胫 +##胭 +##胯 +##胰 +##胱 +##胳 +##胴 +##胶 +##胸 +##胺 +##能 +##脂 +##脅 +##脆 +##脇 +##脈 +##脉 +##脊 +##脍 +##脏 +##脐 +##脑 +##脓 +##脖 +##脘 +##脚 +##脛 +##脣 +##脩 +##脫 +##脯 +##脱 +##脲 +##脳 +##脸 +##脹 +##脾 +##腆 +##腈 +##腊 +##腋 +##腌 +##腎 +##腐 +##腑 +##腓 +##腔 +##腕 +##腥 +##腦 +##腩 +##腫 +##腭 +##腮 +##腰 +##腱 +##腳 +##腴 +##腸 +##腹 +##腺 +##腻 +##腼 +##腾 +##腿 +##膀 +##膈 +##膊 +##膏 +##膑 +##膘 +##膚 +##膛 +##膜 +##膝 +##膠 +##膦 +##膨 +##膩 +##膳 +##膺 +##膻 +##膽 +##膾 +##膿 +##臀 +##臂 +##臃 +##臆 +##臉 +##臊 +##臍 +##臓 +##臘 +##臟 +##臣 +##臥 +##臧 +##臨 +##自 +##臬 +##臭 +##至 +##致 +##臺 +##臻 +##臼 +##臾 +##舀 +##舂 +##舅 +##舆 +##與 +##興 +##舉 +##舊 +##舌 +##舍 +##舎 +##舐 +##舒 +##舔 +##舖 +##舗 +##舛 +##舜 +##舞 +##舟 +##航 +##舫 +##般 +##舰 +##舱 +##舵 +##舶 +##舷 +##舸 +##船 +##舺 +##舾 +##艇 +##艋 +##艘 +##艙 +##艦 +##艮 +##良 +##艰 +##艱 +##色 +##艳 +##艷 +##艹 +##艺 +##艾 +##节 +##芃 +##芈 +##芊 +##芋 +##芍 +##芎 +##芒 +##芙 +##芜 +##芝 +##芡 +##芥 +##芦 +##芩 +##芪 +##芫 +##芬 +##芭 +##芮 +##芯 +##花 +##芳 +##芷 +##芸 +##芹 +##芻 +##芽 +##芾 +##苁 +##苄 +##苇 +##苋 +##苍 +##苏 +##苑 +##苒 +##苓 +##苔 +##苕 +##苗 +##苛 +##苜 +##苞 +##苟 +##苡 +##苣 +##若 +##苦 +##苫 +##苯 +##英 +##苷 +##苹 +##苻 +##茁 +##茂 +##范 +##茄 +##茅 +##茉 +##茎 +##茏 +##茗 +##茜 +##茧 +##茨 +##茫 +##茬 +##茭 +##茯 +##茱 +##茲 +##茴 +##茵 +##茶 +##茸 +##茹 +##茼 +##荀 +##荃 +##荆 +##草 +##荊 +##荏 +##荐 +##荒 +##荔 +##荖 +##荘 +##荚 +##荞 +##荟 +##荠 +##荡 +##荣 +##荤 +##荥 +##荧 +##荨 +##荪 +##荫 +##药 +##荳 +##荷 +##荸 +##荻 +##荼 +##荽 +##莅 +##莆 +##莉 +##莊 +##莎 +##莒 +##莓 +##莖 +##莘 +##莞 +##莠 +##莢 +##莧 +##莪 +##莫 +##莱 +##莲 +##莴 +##获 +##莹 +##莺 +##莽 +##莿 +##菀 +##菁 +##菅 +##菇 +##菈 +##菊 +##菌 +##菏 +##菓 +##菖 +##菘 +##菜 +##菟 +##菠 +##菡 +##菩 +##華 +##菱 +##菲 +##菸 +##菽 +##萁 +##萃 +##萄 +##萊 +##萋 +##萌 +##萍 +##萎 +##萘 +##萝 +##萤 +##营 +##萦 +##萧 +##萨 +##萩 +##萬 +##萱 +##萵 +##萸 +##萼 +##落 +##葆 +##葉 +##著 +##葚 +##葛 +##葡 +##董 +##葦 +##葩 +##葫 +##葬 +##葭 +##葯 +##葱 +##葳 +##葵 +##葷 +##葺 +##蒂 +##蒋 +##蒐 +##蒔 +##蒙 +##蒜 +##蒞 +##蒟 +##蒡 +##蒨 +##蒲 +##蒸 +##蒹 +##蒻 +##蒼 +##蒿 +##蓁 +##蓄 +##蓆 +##蓉 +##蓋 +##蓑 +##蓓 +##蓖 +##蓝 +##蓟 +##蓦 +##蓬 +##蓮 +##蓼 +##蓿 +##蔑 +##蔓 +##蔔 +##蔗 +##蔘 +##蔚 +##蔡 +##蔣 +##蔥 +##蔫 +##蔬 +##蔭 +##蔵 +##蔷 +##蔺 +##蔻 +##蔼 +##蔽 +##蕁 +##蕃 +##蕈 +##蕉 +##蕊 +##蕎 +##蕙 +##蕤 +##蕨 +##蕩 +##蕪 +##蕭 +##蕲 +##蕴 +##蕻 +##蕾 +##薄 +##薅 +##薇 +##薈 +##薊 +##薏 +##薑 +##薔 +##薙 +##薛 +##薦 +##薨 +##薩 +##薪 +##薬 +##薯 +##薰 +##薹 +##藉 +##藍 +##藏 +##藐 +##藓 +##藕 +##藜 +##藝 +##藤 +##藥 +##藩 +##藹 +##藻 +##藿 +##蘆 +##蘇 +##蘊 +##蘋 +##蘑 +##蘚 +##蘭 +##蘸 +##蘼 +##蘿 +##虎 +##虏 +##虐 +##虑 +##虔 +##處 +##虚 +##虛 +##虜 +##虞 +##號 +##虢 +##虧 +##虫 +##虬 +##虱 +##虹 +##虻 +##虽 +##虾 +##蚀 +##蚁 +##蚂 +##蚊 +##蚌 +##蚓 +##蚕 +##蚜 +##蚝 +##蚣 +##蚤 +##蚩 +##蚪 +##蚯 +##蚱 +##蚵 +##蛀 +##蛆 +##蛇 +##蛊 +##蛋 +##蛎 +##蛐 +##蛔 +##蛙 +##蛛 +##蛟 +##蛤 +##蛭 +##蛮 +##蛰 +##蛳 +##蛹 +##蛻 +##蛾 +##蜀 +##蜂 +##蜃 +##蜆 +##蜇 +##蜈 +##蜊 +##蜍 +##蜒 +##蜓 +##蜕 +##蜗 +##蜘 +##蜚 +##蜜 +##蜡 +##蜢 +##蜥 +##蜱 +##蜴 +##蜷 +##蜻 +##蜿 +##蝇 +##蝈 +##蝉 +##蝌 +##蝎 +##蝕 +##蝗 +##蝙 +##蝟 +##蝠 +##蝦 +##蝨 +##蝴 +##蝶 +##蝸 +##蝼 +##螂 +##螃 +##融 +##螞 +##螢 +##螨 +##螯 +##螳 +##螺 +##蟀 +##蟄 +##蟆 +##蟋 +##蟎 +##蟑 +##蟒 +##蟠 +##蟬 +##蟲 +##蟹 +##蟻 +##蟾 +##蠅 +##蠍 +##蠔 +##蠕 +##蠛 +##蠟 +##蠡 +##蠢 +##蠣 +##蠱 +##蠶 +##蠹 +##蠻 +##血 +##衄 +##衅 +##衆 +##行 +##衍 +##術 +##衔 +##街 +##衙 +##衛 +##衝 +##衞 +##衡 +##衢 +##衣 +##补 +##表 +##衩 +##衫 +##衬 +##衮 +##衰 +##衲 +##衷 +##衹 +##衾 +##衿 +##袁 +##袂 +##袄 +##袅 +##袈 +##袋 +##袍 +##袒 +##袖 +##袜 +##袞 +##袤 +##袪 +##被 +##袭 +##袱 +##裁 +##裂 +##装 +##裆 +##裊 +##裏 +##裔 +##裕 +##裘 +##裙 +##補 +##裝 +##裟 +##裡 +##裤 +##裨 +##裱 +##裳 +##裴 +##裸 +##裹 +##製 +##裾 +##褂 +##複 +##褐 +##褒 +##褓 +##褔 +##褚 +##褥 +##褪 +##褫 +##褲 +##褶 +##褻 +##襁 +##襄 +##襟 +##襠 +##襪 +##襬 +##襯 +##襲 +##西 +##要 +##覃 +##覆 +##覇 +##見 +##規 +##覓 +##視 +##覚 +##覦 +##覧 +##親 +##覬 +##観 +##覷 +##覺 +##覽 +##觀 +##见 +##观 +##规 +##觅 +##视 +##览 +##觉 +##觊 +##觎 +##觐 +##觑 +##角 +##觞 +##解 +##觥 +##触 +##觸 +##言 +##訂 +##計 +##訊 +##討 +##訓 +##訕 +##訖 +##託 +##記 +##訛 +##訝 +##訟 +##訣 +##訥 +##訪 +##設 +##許 +##訳 +##訴 +##訶 +##診 +##註 +##証 +##詆 +##詐 +##詔 +##評 +##詛 +##詞 +##詠 +##詡 +##詢 +##詣 +##試 +##詩 +##詫 +##詬 +##詭 +##詮 +##詰 +##話 +##該 +##詳 +##詹 +##詼 +##誅 +##誇 +##誉 +##誌 +##認 +##誓 +##誕 +##誘 +##語 +##誠 +##誡 +##誣 +##誤 +##誥 +##誦 +##誨 +##說 +##説 +##読 +##誰 +##課 +##誹 +##誼 +##調 +##諄 +##談 +##請 +##諏 +##諒 +##論 +##諗 +##諜 +##諡 +##諦 +##諧 +##諫 +##諭 +##諮 +##諱 +##諳 +##諷 +##諸 +##諺 +##諾 +##謀 +##謁 +##謂 +##謄 +##謊 +##謎 +##謐 +##謔 +##謗 +##謙 +##講 +##謝 +##謠 +##謨 +##謬 +##謹 +##謾 +##譁 +##證 +##譎 +##譏 +##識 +##譙 +##譚 +##譜 +##警 +##譬 +##譯 +##議 +##譲 +##譴 +##護 +##譽 +##讀 +##變 +##讓 +##讚 +##讞 +##计 +##订 +##认 +##讥 +##讧 +##讨 +##让 +##讪 +##讫 +##训 +##议 +##讯 +##记 +##讲 +##讳 +##讴 +##讶 +##讷 +##许 +##讹 +##论 +##讼 +##讽 +##设 +##访 +##诀 +##证 +##诃 +##评 +##诅 +##识 +##诈 +##诉 +##诊 +##诋 +##词 +##诏 +##译 +##试 +##诗 +##诘 +##诙 +##诚 +##诛 +##话 +##诞 +##诟 +##诠 +##诡 +##询 +##诣 +##诤 +##该 +##详 +##诧 +##诩 +##诫 +##诬 +##语 +##误 +##诰 +##诱 +##诲 +##说 +##诵 +##诶 +##请 +##诸 +##诺 +##读 +##诽 +##课 +##诿 +##谀 +##谁 +##调 +##谄 +##谅 +##谆 +##谈 +##谊 +##谋 +##谌 +##谍 +##谎 +##谏 +##谐 +##谑 +##谒 +##谓 +##谔 +##谕 +##谗 +##谘 +##谙 +##谚 +##谛 +##谜 +##谟 +##谢 +##谣 +##谤 +##谥 +##谦 +##谧 +##谨 +##谩 +##谪 +##谬 +##谭 +##谯 +##谱 +##谲 +##谴 +##谶 +##谷 +##豁 +##豆 +##豇 +##豈 +##豉 +##豊 +##豌 +##豎 +##豐 +##豔 +##豚 +##象 +##豢 +##豪 +##豫 +##豬 +##豹 +##豺 +##貂 +##貅 +##貌 +##貓 +##貔 +##貘 +##貝 +##貞 +##負 +##財 +##貢 +##貧 +##貨 +##販 +##貪 +##貫 +##責 +##貯 +##貰 +##貳 +##貴 +##貶 +##買 +##貸 +##費 +##貼 +##貽 +##貿 +##賀 +##賁 +##賂 +##賃 +##賄 +##資 +##賈 +##賊 +##賑 +##賓 +##賜 +##賞 +##賠 +##賡 +##賢 +##賣 +##賤 +##賦 +##質 +##賬 +##賭 +##賴 +##賺 +##購 +##賽 +##贅 +##贈 +##贊 +##贍 +##贏 +##贓 +##贖 +##贛 +##贝 +##贞 +##负 +##贡 +##财 +##责 +##贤 +##败 +##账 +##货 +##质 +##贩 +##贪 +##贫 +##贬 +##购 +##贮 +##贯 +##贰 +##贱 +##贲 +##贴 +##贵 +##贷 +##贸 +##费 +##贺 +##贻 +##贼 +##贾 +##贿 +##赁 +##赂 +##赃 +##资 +##赅 +##赈 +##赊 +##赋 +##赌 +##赎 +##赏 +##赐 +##赓 +##赔 +##赖 +##赘 +##赚 +##赛 +##赝 +##赞 +##赠 +##赡 +##赢 +##赣 +##赤 +##赦 +##赧 +##赫 +##赭 +##走 +##赳 +##赴 +##赵 +##赶 +##起 +##趁 +##超 +##越 +##趋 +##趕 +##趙 +##趟 +##趣 +##趨 +##足 +##趴 +##趵 +##趸 +##趺 +##趾 +##跃 +##跄 +##跆 +##跋 +##跌 +##跎 +##跑 +##跖 +##跚 +##跛 +##距 +##跟 +##跡 +##跤 +##跨 +##跩 +##跪 +##路 +##跳 +##践 +##跷 +##跹 +##跺 +##跻 +##踉 +##踊 +##踌 +##踏 +##踐 +##踝 +##踞 +##踟 +##踢 +##踩 +##踪 +##踮 +##踱 +##踴 +##踵 +##踹 +##蹂 +##蹄 +##蹇 +##蹈 +##蹉 +##蹊 +##蹋 +##蹑 +##蹒 +##蹙 +##蹟 +##蹣 +##蹤 +##蹦 +##蹩 +##蹬 +##蹭 +##蹲 +##蹴 +##蹶 +##蹺 +##蹼 +##蹿 +##躁 +##躇 +##躉 +##躊 +##躋 +##躍 +##躏 +##躪 +##身 +##躬 +##躯 +##躲 +##躺 +##軀 +##車 +##軋 +##軌 +##軍 +##軒 +##軟 +##転 +##軸 +##軼 +##軽 +##軾 +##較 +##載 +##輒 +##輓 +##輔 +##輕 +##輛 +##輝 +##輟 +##輩 +##輪 +##輯 +##輸 +##輻 +##輾 +##輿 +##轄 +##轅 +##轆 +##轉 +##轍 +##轎 +##轟 +##车 +##轧 +##轨 +##轩 +##转 +##轭 +##轮 +##软 +##轰 +##轲 +##轴 +##轶 +##轻 +##轼 +##载 +##轿 +##较 +##辄 +##辅 +##辆 +##辇 +##辈 +##辉 +##辊 +##辍 +##辐 +##辑 +##输 +##辕 +##辖 +##辗 +##辘 +##辙 +##辛 +##辜 +##辞 +##辟 +##辣 +##辦 +##辨 +##辩 +##辫 +##辭 +##辮 +##辯 +##辰 +##辱 +##農 +##边 +##辺 +##辻 +##込 +##辽 +##达 +##迁 +##迂 +##迄 +##迅 +##过 +##迈 +##迎 +##运 +##近 +##返 +##还 +##这 +##进 +##远 +##违 +##连 +##迟 +##迢 +##迤 +##迥 +##迦 +##迩 +##迪 +##迫 +##迭 +##述 +##迴 +##迷 +##迸 +##迹 +##迺 +##追 +##退 +##送 +##适 +##逃 +##逅 +##逆 +##选 +##逊 +##逍 +##透 +##逐 +##递 +##途 +##逕 +##逗 +##這 +##通 +##逛 +##逝 +##逞 +##速 +##造 +##逢 +##連 +##逮 +##週 +##進 +##逵 +##逶 +##逸 +##逻 +##逼 +##逾 +##遁 +##遂 +##遅 +##遇 +##遊 +##運 +##遍 +##過 +##遏 +##遐 +##遑 +##遒 +##道 +##達 +##違 +##遗 +##遙 +##遛 +##遜 +##遞 +##遠 +##遢 +##遣 +##遥 +##遨 +##適 +##遭 +##遮 +##遲 +##遴 +##遵 +##遶 +##遷 +##選 +##遺 +##遼 +##遽 +##避 +##邀 +##邁 +##邂 +##邃 +##還 +##邇 +##邈 +##邊 +##邋 +##邏 +##邑 +##邓 +##邕 +##邛 +##邝 +##邢 +##那 +##邦 +##邨 +##邪 +##邬 +##邮 +##邯 +##邰 +##邱 +##邳 +##邵 +##邸 +##邹 +##邺 +##邻 +##郁 +##郅 +##郊 +##郎 +##郑 +##郜 +##郝 +##郡 +##郢 +##郤 +##郦 +##郧 +##部 +##郫 +##郭 +##郴 +##郵 +##郷 +##郸 +##都 +##鄂 +##鄉 +##鄒 +##鄔 +##鄙 +##鄞 +##鄢 +##鄧 +##鄭 +##鄰 +##鄱 +##鄲 +##鄺 +##酉 +##酊 +##酋 +##酌 +##配 +##酐 +##酒 +##酗 +##酚 +##酝 +##酢 +##酣 +##酥 +##酩 +##酪 +##酬 +##酮 +##酯 +##酰 +##酱 +##酵 +##酶 +##酷 +##酸 +##酿 +##醃 +##醇 +##醉 +##醋 +##醍 +##醐 +##醒 +##醚 +##醛 +##醜 +##醞 +##醣 +##醪 +##醫 +##醬 +##醮 +##醯 +##醴 +##醺 +##釀 +##釁 +##采 +##釉 +##释 +##釋 +##里 +##重 +##野 +##量 +##釐 +##金 +##釗 +##釘 +##釜 +##針 +##釣 +##釦 +##釧 +##釵 +##鈀 +##鈉 +##鈍 +##鈎 +##鈔 +##鈕 +##鈞 +##鈣 +##鈦 +##鈪 +##鈴 +##鈺 +##鈾 +##鉀 +##鉄 +##鉅 +##鉉 +##鉑 +##鉗 +##鉚 +##鉛 +##鉤 +##鉴 +##鉻 +##銀 +##銃 +##銅 +##銑 +##銓 +##銖 +##銘 +##銜 +##銬 +##銭 +##銮 +##銳 +##銷 +##銹 +##鋁 +##鋅 +##鋒 +##鋤 +##鋪 +##鋰 +##鋸 +##鋼 +##錄 +##錐 +##錘 +##錚 +##錠 +##錢 +##錦 +##錨 +##錫 +##錮 +##錯 +##録 +##錳 +##錶 +##鍊 +##鍋 +##鍍 +##鍛 +##鍥 +##鍰 +##鍵 +##鍺 +##鍾 +##鎂 +##鎊 +##鎌 +##鎏 +##鎔 +##鎖 +##鎗 +##鎚 +##鎧 +##鎬 +##鎮 +##鎳 +##鏈 +##鏖 +##鏗 +##鏘 +##鏞 +##鏟 +##鏡 +##鏢 +##鏤 +##鏽 +##鐘 +##鐮 +##鐲 +##鐳 +##鐵 +##鐸 +##鐺 +##鑄 +##鑊 +##鑑 +##鑒 +##鑣 +##鑫 +##鑰 +##鑲 +##鑼 +##鑽 +##鑾 +##鑿 +##针 +##钉 +##钊 +##钎 +##钏 +##钒 +##钓 +##钗 +##钙 +##钛 +##钜 +##钝 +##钞 +##钟 +##钠 +##钡 +##钢 +##钣 +##钤 +##钥 +##钦 +##钧 +##钨 +##钩 +##钮 +##钯 +##钰 +##钱 +##钳 +##钴 +##钵 +##钺 +##钻 +##钼 +##钾 +##钿 +##铀 +##铁 +##铂 +##铃 +##铄 +##铅 +##铆 +##铉 +##铎 +##铐 +##铛 +##铜 +##铝 +##铠 +##铡 +##铢 +##铣 +##铤 +##铨 +##铩 +##铬 +##铭 +##铮 +##铰 +##铲 +##铵 +##银 +##铸 +##铺 +##链 +##铿 +##销 +##锁 +##锂 +##锄 +##锅 +##锆 +##锈 +##锉 +##锋 +##锌 +##锏 +##锐 +##锑 +##错 +##锚 +##锟 +##锡 +##锢 +##锣 +##锤 +##锥 +##锦 +##锭 +##键 +##锯 +##锰 +##锲 +##锵 +##锹 +##锺 +##锻 +##镀 +##镁 +##镂 +##镇 +##镉 +##镌 +##镍 +##镐 +##镑 +##镕 +##镖 +##镗 +##镛 +##镜 +##镣 +##镭 +##镯 +##镰 +##镳 +##镶 +##長 +##长 +##門 +##閃 +##閉 +##開 +##閎 +##閏 +##閑 +##閒 +##間 +##閔 +##閘 +##閡 +##関 +##閣 +##閥 +##閨 +##閩 +##閱 +##閲 +##閹 +##閻 +##閾 +##闆 +##闇 +##闊 +##闌 +##闍 +##闔 +##闕 +##闖 +##闘 +##關 +##闡 +##闢 +##门 +##闪 +##闫 +##闭 +##问 +##闯 +##闰 +##闲 +##间 +##闵 +##闷 +##闸 +##闹 +##闺 +##闻 +##闽 +##闾 +##阀 +##阁 +##阂 +##阅 +##阆 +##阇 +##阈 +##阉 +##阎 +##阐 +##阑 +##阔 +##阕 +##阖 +##阙 +##阚 +##阜 +##队 +##阡 +##阪 +##阮 +##阱 +##防 +##阳 +##阴 +##阵 +##阶 +##阻 +##阿 +##陀 +##陂 +##附 +##际 +##陆 +##陇 +##陈 +##陋 +##陌 +##降 +##限 +##陕 +##陛 +##陝 +##陞 +##陟 +##陡 +##院 +##陣 +##除 +##陨 +##险 +##陪 +##陰 +##陲 +##陳 +##陵 +##陶 +##陷 +##陸 +##険 +##陽 +##隅 +##隆 +##隈 +##隊 +##隋 +##隍 +##階 +##随 +##隐 +##隔 +##隕 +##隘 +##隙 +##際 +##障 +##隠 +##隣 +##隧 +##隨 +##險 +##隱 +##隴 +##隶 +##隸 +##隻 +##隼 +##隽 +##难 +##雀 +##雁 +##雄 +##雅 +##集 +##雇 +##雉 +##雋 +##雌 +##雍 +##雎 +##雏 +##雑 +##雒 +##雕 +##雖 +##雙 +##雛 +##雜 +##雞 +##離 +##難 +##雨 +##雪 +##雯 +##雰 +##雲 +##雳 +##零 +##雷 +##雹 +##電 +##雾 +##需 +##霁 +##霄 +##霆 +##震 +##霈 +##霉 +##霊 +##霍 +##霎 +##霏 +##霑 +##霓 +##霖 +##霜 +##霞 +##霧 +##霭 +##霰 +##露 +##霸 +##霹 +##霽 +##霾 +##靂 +##靄 +##靈 +##青 +##靓 +##靖 +##静 +##靚 +##靛 +##靜 +##非 +##靠 +##靡 +##面 +##靥 +##靦 +##革 +##靳 +##靴 +##靶 +##靼 +##鞅 +##鞋 +##鞍 +##鞏 +##鞑 +##鞘 +##鞠 +##鞣 +##鞦 +##鞭 +##韆 +##韋 +##韌 +##韓 +##韜 +##韦 +##韧 +##韩 +##韬 +##韭 +##音 +##韵 +##韶 +##韻 +##響 +##頁 +##頂 +##頃 +##項 +##順 +##須 +##頌 +##預 +##頑 +##頒 +##頓 +##頗 +##領 +##頜 +##頡 +##頤 +##頫 +##頭 +##頰 +##頷 +##頸 +##頹 +##頻 +##頼 +##顆 +##題 +##額 +##顎 +##顏 +##顔 +##願 +##顛 +##類 +##顧 +##顫 +##顯 +##顱 +##顴 +##页 +##顶 +##顷 +##项 +##顺 +##须 +##顼 +##顽 +##顾 +##顿 +##颁 +##颂 +##预 +##颅 +##领 +##颇 +##颈 +##颉 +##颊 +##颌 +##颍 +##颐 +##频 +##颓 +##颔 +##颖 +##颗 +##题 +##颚 +##颛 +##颜 +##额 +##颞 +##颠 +##颡 +##颢 +##颤 +##颦 +##颧 +##風 +##颯 +##颱 +##颳 +##颶 +##颼 +##飄 +##飆 +##风 +##飒 +##飓 +##飕 +##飘 +##飙 +##飚 +##飛 +##飞 +##食 +##飢 +##飨 +##飩 +##飪 +##飯 +##飲 +##飼 +##飽 +##飾 +##餃 +##餅 +##餉 +##養 +##餌 +##餐 +##餒 +##餓 +##餘 +##餚 +##餛 +##餞 +##餡 +##館 +##餮 +##餵 +##餾 +##饅 +##饈 +##饋 +##饌 +##饍 +##饑 +##饒 +##饕 +##饗 +##饞 +##饥 +##饨 +##饪 +##饬 +##饭 +##饮 +##饯 +##饰 +##饱 +##饲 +##饴 +##饵 +##饶 +##饷 +##饺 +##饼 +##饽 +##饿 +##馀 +##馁 +##馄 +##馅 +##馆 +##馈 +##馋 +##馍 +##馏 +##馒 +##馔 +##首 +##馗 +##香 +##馥 +##馨 +##馬 +##馭 +##馮 +##馳 +##馴 +##駁 +##駄 +##駅 +##駆 +##駐 +##駒 +##駕 +##駛 +##駝 +##駭 +##駱 +##駿 +##騁 +##騎 +##騏 +##験 +##騙 +##騨 +##騰 +##騷 +##驀 +##驅 +##驊 +##驍 +##驒 +##驕 +##驗 +##驚 +##驛 +##驟 +##驢 +##驥 +##马 +##驭 +##驮 +##驯 +##驰 +##驱 +##驳 +##驴 +##驶 +##驷 +##驸 +##驹 +##驻 +##驼 +##驾 +##驿 +##骁 +##骂 +##骄 +##骅 +##骆 +##骇 +##骈 +##骊 +##骋 +##验 +##骏 +##骐 +##骑 +##骗 +##骚 +##骛 +##骜 +##骞 +##骠 +##骡 +##骤 +##骥 +##骧 +##骨 +##骯 +##骰 +##骶 +##骷 +##骸 +##骼 +##髂 +##髅 +##髋 +##髏 +##髒 +##髓 +##體 +##髖 +##高 +##髦 +##髪 +##髮 +##髯 +##髻 +##鬃 +##鬆 +##鬍 +##鬓 +##鬚 +##鬟 +##鬢 +##鬣 +##鬥 +##鬧 +##鬱 +##鬼 +##魁 +##魂 +##魄 +##魅 +##魇 +##魍 +##魏 +##魔 +##魘 +##魚 +##魯 +##魷 +##鮑 +##鮨 +##鮪 +##鮭 +##鮮 +##鯉 +##鯊 +##鯖 +##鯛 +##鯨 +##鯰 +##鯽 +##鰍 +##鰓 +##鰭 +##鰲 +##鰻 +##鰾 +##鱈 +##鱉 +##鱔 +##鱗 +##鱷 +##鱸 +##鱼 +##鱿 +##鲁 +##鲈 +##鲍 +##鲑 +##鲛 +##鲜 +##鲟 +##鲢 +##鲤 +##鲨 +##鲫 +##鲱 +##鲲 +##鲶 +##鲷 +##鲸 +##鳃 +##鳄 +##鳅 +##鳌 +##鳍 +##鳕 +##鳖 +##鳗 +##鳝 +##鳞 +##鳥 +##鳩 +##鳳 +##鳴 +##鳶 +##鴉 +##鴕 +##鴛 +##鴦 +##鴨 +##鴻 +##鴿 +##鵑 +##鵜 +##鵝 +##鵡 +##鵬 +##鵰 +##鵲 +##鶘 +##鶩 +##鶯 +##鶴 +##鷗 +##鷲 +##鷹 +##鷺 +##鸚 +##鸞 +##鸟 +##鸠 +##鸡 +##鸢 +##鸣 +##鸥 +##鸦 +##鸨 +##鸪 +##鸭 +##鸯 +##鸳 +##鸵 +##鸽 +##鸾 +##鸿 +##鹂 +##鹃 +##鹄 +##鹅 +##鹈 +##鹉 +##鹊 +##鹌 +##鹏 +##鹑 +##鹕 +##鹘 +##鹜 +##鹞 +##鹤 +##鹦 +##鹧 +##鹫 +##鹭 +##鹰 +##鹳 +##鹵 +##鹹 +##鹼 +##鹽 +##鹿 +##麂 +##麋 +##麒 +##麓 +##麗 +##麝 +##麟 +##麥 +##麦 +##麩 +##麴 +##麵 +##麸 +##麺 +##麻 +##麼 +##麽 +##麾 +##黃 +##黄 +##黍 +##黎 +##黏 +##黑 +##黒 +##黔 +##默 +##黛 +##黜 +##黝 +##點 +##黠 +##黨 +##黯 +##黴 +##鼋 +##鼎 +##鼐 +##鼓 +##鼠 +##鼬 +##鼹 +##鼻 +##鼾 +##齁 +##齊 +##齋 +##齐 +##齒 +##齡 +##齢 +##齣 +##齦 +##齿 +##龄 +##龅 +##龈 +##龊 +##龋 +##龌 +##龍 +##龐 +##龔 +##龕 +##龙 +##龚 +##龛 +##龜 +##龟 +##︰ +##︱ +##︶ +##︿ +##﹁ +##﹂ +##﹍ +##﹏ +##﹐ +##﹑ +##﹒ +##﹔ +##﹕ +##﹖ +##﹗ +##﹙ +##﹚ +##﹝ +##﹞ +##﹡ +##﹣ +##！ +##＂ +##＃ +##＄ +##％ +##＆ +##＇ +##（ +##） +##＊ +##， +##－ +##． +##／ +##： +##； +##＜ +##？ +##＠ +##［ +##＼ +##］ +##＾ +##＿ +##｀ +##ｆ +##ｈ +##ｊ +##ｕ +##ｗ +##ｚ +##｛ +##｝ +##｡ +##｢ +##｣ +##､ +##･ +##ｯ +##ｰ +##ｲ +##ｸ +##ｼ +##ｽ +##ﾄ +##ﾉ +##ﾌ +##ﾗ +##ﾙ +##ﾝ +##ﾞ +##ﾟ +##￣ +##￥ +##👍 +##🔥 +##😂 +##😎 +[unused0] +[unused100] +[unused101] +[unused102] +[unused103] +[unused104] +[unused105] +[unused106] +[unused107] +[unused108] +[unused109] +[unused110] +[unused111] +[unused112] +[unused113] +[unused114] +[unused115] +[unused116] +[unused117] +[unused118] +[unused119] +[unused120] +[unused121] +[unused122] +[unused123] +[unused124] +[unused125] +[unused126] +[unused127] +[unused128] +[unused129] +[unused130] +[unused131] +[unused132] +[unused133] +[unused134] +[unused135] +[unused136] +[unused137] +[unused138] +[unused139] +[unused140] +[unused141] +[unused142] +[unused143] +[unused144] +[unused145] +[unused146] +[unused147] +[unused148] +[unused149] +[unused150] +[unused151] +[unused152] +[unused153] +[unused154] +[unused155] +[unused156] +[unused157] +[unused158] +[unused159] +[unused160] +[unused161] +[unused162] +[unused163] +[unused164] +[unused165] +[unused166] +[unused167] +[unused168] +[unused169] +[unused170] +[unused171] +[unused172] +[unused173] +[unused174] +[unused175] +[unused176] +[unused177] +[unused178] +[unused179] +[unused180] +[unused181] +[unused182] +[unused183] +[unused184] +[unused185] +[unused186] +[unused187] +[unused188] +[unused189] +[unused190] +[unused191] +[unused192] +[unused193] +[unused194] +[unused195] +[unused196] +[unused197] +[unused198] +[unused199] +[unused200] +[unused201] +[unused202] +[unused203] +[unused204] +[unused205] +[unused206] +[unused207] +[unused208] +[unused209] +[unused210] +[unused211] +[unused212] +[unused213] +[unused214] +[unused215] +[unused216] +[unused217] +[unused218] +[unused219] +[unused220] +[unused221] +[unused222] +[unused223] +[unused224] +[unused225] +[unused226] +[unused227] +[unused228] +[unused229] +[unused230] +[unused231] +[unused232] +[unused233] +[unused234] +[unused235] +[unused236] +[unused237] +[unused238] +[unused239] +[unused240] +[unused241] +[unused242] +[unused243] +[unused244] +[unused245] +[unused246] +[unused247] +[unused248] +[unused249] +[unused250] +[unused251] +[unused252] +[unused253] +[unused254] +[unused255] +[unused256] +[unused257] +[unused258] +[unused259] +[unused260] +[unused261] +[unused262] +[unused263] +[unused264] +[unused265] +[unused266] +[unused267] +[unused268] +[unused269] +[unused270] +[unused271] +[unused272] +[unused273] +[unused274] +[unused275] +[unused276] +[unused277] +[unused278] +[unused279] +[unused280] +[unused281] +[unused282] +[unused283] +[unused284] +[unused285] +[unused286] +[unused287] +[unused288] +[unused289] +[unused290] +[unused291] +[unused292] +[unused293] +[unused294] +[unused295] +[unused296] +[unused297] +[unused298] +[unused299] +[unused300] +[unused301] +[unused302] +[unused303] +[unused304] +[unused305] +[unused306] +[unused307] +[unused308] +[unused309] +[unused310] +[unused311] +[unused312] +[unused313] +[unused314] +[unused315] +[unused316] +[unused317] +[unused318] +[unused319] +[unused320] +[unused321] +[unused322] +[unused323] +[unused324] +[unused325] +[unused326] +[unused327] +[unused328] +[unused329] +[unused330] +[unused331] +[unused332] +[unused333] +[unused334] +[unused335] +[unused336] +[unused337] +[unused338] +[unused339] +[unused340] +[unused341] +[unused342] +[unused343] +[unused344] +[unused345] +[unused346] +[unused347] +[unused348] +[unused349] +[unused350] +[unused351] +[unused352] +[unused353] +[unused354] +[unused355] +[unused356] +[unused357] +[unused358] +[unused359] +[unused360] +[unused361] +[unused362] +[unused363] +[unused364] +[unused365] +[unused366] +[unused367] +[unused368] +[unused369] +[unused370] +[unused371] +[unused372] +[unused373] +[unused374] +[unused375] +[unused376] +[unused377] +[unused378] +[unused379] +[unused380] +[unused381] +[unused382] +[unused383] +[unused384] +[unused385] +[unused386] +[unused387] +[unused388] +[unused389] +[unused390] +[unused391] +[unused392] +[unused393] +[unused394] +[unused395] +[unused396] +[unused397] +[unused398] +[unused399] +[unused400] +[unused401] +[unused402] +[unused403] +[unused404] +[unused405] +[unused406] +[unused407] +[unused408] +[unused409] +[unused410] +[unused411] +[unused412] +[unused413] +[unused414] +[unused415] +[unused416] +[unused417] +[unused418] +[unused419] +[unused420] +[unused421] +[unused422] +[unused423] +[unused424] +[unused425] +[unused426] +[unused427] +[unused428] +[unused429] +[unused430] +[unused431] +[unused432] +[unused433] +[unused434] +[unused435] +[unused436] +[unused437] +[unused438] +[unused439] +[unused440] +[unused441] +[unused442] +[unused443] +[unused444] +[unused445] +[unused446] +[unused447] +[unused448] +[unused449] +[unused450] +[unused451] +[unused452] +[unused453] +[unused454] +[unused455] +[unused456] +[unused457] +[unused458] +[unused459] +[unused460] +[unused461] +[unused462] +[unused463] +[unused464] +[unused465] +[unused466] +[unused467] +[unused468] +[unused469] +[unused470] +[unused471] +[unused472] +[unused473] +[unused474] +[unused475] +[unused476] +[unused477] +[unused478] +[unused479] +[unused480] +[unused481] +[unused482] +[unused483] +[unused484] +[unused485] +[unused486] +[unused487] +[unused488] +[unused489] +[unused490] +[unused491] +[unused492] +[unused493] +[unused494] +[unused495] +[unused496] +[unused497] +[unused498] +[unused499] +[unused500] +[unused501] +[unused502] +[unused503] +[unused504] +[unused505] +[unused506] +[unused507] +[unused508] +[unused509] +[unused510] +[unused511] +[unused512] +[unused513] +[unused514] +[unused515] +[unused516] +[unused517] +[unused518] +[unused519] +[unused520] +[unused521] +[unused522] +[unused523] +[unused524] +[unused525] +[unused526] +[unused527] +[unused528] +[unused529] +[unused530] +[unused531] +[unused532] +[unused533] +[unused534] +[unused535] +[unused536] +[unused537] +[unused538] +[unused539] +[unused540] +[unused541] +[unused542] +[unused543] +[unused544] +[unused545] +[unused546] +[unused547] +[unused548] +[unused549] +[unused550] +[unused551] +[unused552] +[unused553] +[unused554] +[unused555] +[unused556] +[unused557] +[unused558] +[unused559] +[unused560] +[unused561] +[unused562] +[unused563] +[unused564] +[unused565] +[unused566] +[unused567] +[unused568] +[unused569] +[unused570] +[unused571] +[unused572] +[unused573] +[unused574] +[unused575] +[unused576] +[unused577] +[unused578] +[unused579] +[unused580] +[unused581] +[unused582] +[unused583] +[unused584] +[unused585] +[unused586] +[unused587] +[unused588] +[unused589] +[unused590] +[unused591] +[unused592] +[unused593] +[unused594] +[unused595] +[unused596] +[unused597] +[unused598] +[unused599] +[unused600] +[unused601] +[unused602] +[unused603] +[unused604] +[unused605] +[unused606] +[unused607] +[unused608] +[unused609] +[unused610] +[unused611] +[unused612] +[unused613] +[unused614] +[unused615] +[unused616] +[unused617] +[unused618] +[unused619] +[unused620] +[unused621] +[unused622] +[unused623] +[unused624] +[unused625] +[unused626] +[unused627] +[unused628] +[unused629] +[unused630] +[unused631] +[unused632] +[unused633] +[unused634] +[unused635] +[unused636] +[unused637] +[unused638] +[unused639] +[unused640] +[unused641] +[unused642] +[unused643] +[unused644] +[unused645] +[unused646] +[unused647] +[unused648] +[unused649] +[unused650] +[unused651] +[unused652] +[unused653] +[unused654] +[unused655] +[unused656] +[unused657] +[unused658] +[unused659] +[unused660] +[unused661] +[unused662] +[unused663] +[unused664] +[unused665] +[unused666] +[unused667] +[unused668] +[unused669] +[unused670] +[unused671] +[unused672] +[unused673] +[unused674] +[unused675] +[unused676] +[unused677] +[unused678] +[unused679] +[unused680] +[unused681] +[unused682] +[unused683] +[unused684] +[unused685] +[unused686] +[unused687] +[unused688] +[unused689] +[unused690] +[unused691] +[unused692] +[unused693] +[unused694] +[unused695] +[unused696] +[unused697] +[unused698] +[unused699] +[unused700] +[unused701] +[unused702] +[unused703] +[unused704] +[unused705] +[unused706] +[unused707] +[unused708] +[unused709] +[unused710] +[unused711] +[unused712] +[unused713] +[unused714] +[unused715] +[unused716] +[unused717] +[unused718] +[unused719] +[unused720] +[unused721] +[unused722] +[unused723] +[unused724] +[unused725] +[unused726] +[unused727] +[unused728] +[unused729] +[unused730] +[unused731] +[unused732] +[unused733] +[unused734] +[unused735] +[unused736] +[unused737] +[unused738] +[unused739] +[unused740] +[unused741] +[unused742] +[unused743] +[unused744] +[unused745] +[unused746] +[unused747] +[unused748] +[unused749] +[unused750] +[unused751] +[unused752] +[unused753] +[unused754] +[unused755] +[unused756] +[unused757] +[unused758] +[unused759] +[unused760] +[unused761] +[unused762] +[unused763] +[unused764] +[unused765] +[unused766] +[unused767] +[unused768] +[unused769] +[unused770] +[unused771] +[unused772] +[unused773] +[unused774] +[unused775] +[unused776] +[unused777] +[unused778] +[unused779] +[unused780] +[unused781] +[unused782] +[unused783] +[unused784] +[unused785] +[unused786] +[unused787] +[unused788] +[unused789] +[unused790] +[unused791] +[unused792] +[unused793] +[unused794] +[unused795] +[unused796] +[unused797] +[unused798] +[unused799] +[unused800] +[unused801] +[unused802] +[unused803] +[unused804] +[unused805] +[unused806] +[unused807] +[unused808] +[unused809] +[unused810] +[unused811] +[unused812] +[unused813] +[unused814] +[unused815] +[unused816] +[unused817] +[unused818] +[unused819] +[unused820] +[unused821] +[unused822] +[unused823] +[unused824] +[unused825] +[unused826] +[unused827] +[unused828] +[unused829] +[unused830] +[unused831] +[unused832] +[unused833] +[unused834] +[unused835] +[unused836] +[unused837] +[unused838] +[unused839] +[unused840] +[unused841] +[unused842] +[unused843] +[unused844] +[unused845] +[unused846] +[unused847] +[unused848] +[unused849] +[unused850] +[unused851] +[unused852] +[unused853] +[unused854] +[unused855] +[unused856] +[unused857] +[unused858] +[unused859] +[unused860] +[unused861] +[unused862] +[unused863] +[unused864] +[unused865] +[unused866] +[unused867] +[unused868] +[unused869] +[unused870] +[unused871] +[unused872] +[unused873] +[unused874] +[unused875] +[unused876] +[unused877] +[unused878] +[unused879] +[unused880] +[unused881] +[unused882] +[unused883] +[unused884] +[unused885] +[unused886] +[unused887] +[unused888] +[unused889] +[unused890] +[unused891] +[unused892] +[unused893] +[unused894] +[unused895] +[unused896] +[unused897] +[unused898] +[unused899] +[unused900] +[unused901] +[unused902] +[unused903] +[unused904] +[unused905] +[unused906] +[unused907] +[unused908] +[unused909] +[unused910] +[unused911] +[unused912] +[unused913] +[unused914] +[unused915] +[unused916] +[unused917] +[unused918] +[unused919] +[unused920] +[unused921] +[unused922] +[unused923] +[unused924] +[unused925] +[unused926] +[unused927] +[unused928] +[unused929] +[unused930] +[unused931] +[unused932] +[unused933] +[unused934] +[unused935] +[unused936] +[unused937] +[unused938] +[unused939] +[unused940] +[unused941] +[unused942] +[unused943] +[unused944] +[unused945] +[unused946] +[unused947] +[unused948] +[unused949] +[unused950] +[unused951] +[unused952] +[unused953] +[unused954] +[unused955] +[unused956] +[unused957] +[unused958] +[unused959] +[unused960] +[unused961] +[unused962] +[unused963] +[unused964] +[unused965] +[unused966] +[unused967] +[unused968] +[unused969] +[unused970] +[unused971] +[unused972] +[unused973] +[unused974] +[unused975] +[unused976] +[unused977] +[unused978] +[unused979] +[unused980] +[unused981] +[unused982] +[unused983] +[unused984] +[unused985] +[unused986] +[unused987] +[unused988] +[unused989] +[unused990] +[unused991] +[unused992] +[unused993] +` +¡ +¢ +¦ +¨ +ª +¬ +´ +¶ +½ +¾ +¿ +ð +þ +ħ +ı +ł +œ +ƒ +ɐ +ɑ +ɒ +ɕ +ɛ +ɣ +ɨ +ɪ +ɫ +ɬ +ɯ +ɲ +ɴ +ɹ +ɾ +ʀ +ʁ +ʂ +ʃ +ʉ +ʊ +ʋ +ʌ +ʎ +ʐ +ʑ +ʒ +ʔ +ʲ +ʳ +ʷ +ʸ +ʻ +ʼ +ʾ +ʿ +ˡ +ˣ +ˤ +ζ +ξ +щ +ъ +э +ю +ђ +є +ј +љ +њ +ћ +ӏ +ա +բ +գ +դ +ե +թ +ի +լ +կ +հ +մ +յ +ն +ո +պ +ս +վ +տ +ր +ւ +ք +־ +א +ב +ג +ד +ה +ו +ז +ח +ט +י +ך +כ +ל +ם +מ +ן +נ +ס +ע +ף +פ +ץ +צ +ק +ר +ש +ת +، +ء +ث +ج +ح +خ +ذ +ز +ش +ص +ض +ط +ظ +غ +ـ +ف +ق +ك +ى +ٹ +پ +چ +ک +گ +ں +ھ +ہ +ی +ے +अ +आ +उ +ए +क +ख +ग +च +ज +ट +ड +ण +त +थ +द +ध +न +प +ब +भ +म +य +र +ल +व +श +ष +स +ह +ा +ि +ी +ो +। +॥ +ং +অ +আ +ই +উ +এ +ও +ক +খ +গ +চ +ছ +জ +ট +ড +ণ +ত +থ +দ +ধ +ন +প +ব +ভ +ম +য +র +ল +শ +ষ +স +হ +া +ি +ী +ে +க +ச +ட +த +ந +ன +ப +ம +ய +ர +ல +ள +வ +ா +ி +ு +ே +ை +ನ +ರ +ಾ +ක +ය +ර +ල +ව +ා +ต +ท +พ +ล +ว +ส +། +ག +ང +ད +ན +པ +བ +མ +འ +ར +ལ +ས +မ +ა +ბ +გ +დ +ე +ვ +თ +ი +კ +ლ +მ +ნ +ო +რ +ს +ტ +უ +ᄊ +ᴬ +ᴮ +ᴰ +ᴵ +ᴺ +ᵀ +ᵇ +ᵈ +ᵖ +ᵗ +ᵢ +ᵣ +ᵤ +ᵥ +ᶜ +ᶠ +‐ +‑ +‒ +– +— +― +‘ +’ +‚ +“ +” +‡ +… +⁰ +⁴ +⁵ +⁶ +⁷ +⁸ +⁹ +⁻ +₀ +₅ +₆ +₇ +₈ +₉ +₊ +₍ +₎ +ₐ +ₑ +ₒ +ₓ +ₕ +ₖ +ₗ +ₘ +ₙ +ₚ +ₛ +ₜ +₤ +₩ +₱ +₹ +ℓ +ℝ +⅓ +⅔ +↦ +⇄ +⇌ +∂ +∅ +∆ +∇ +∈ +∗ +∘ +∧ +∨ +∪ +⊂ +⊆ +⊕ +⊗ +☉ +♭ +♯ +⟨ +⟩ +ⱼ +⺩ +⺼ +⽥ +亻 +宀 +彳 +忄 +扌 +氵 +疒 +糹 +訁 +辶 +阝 +龸 +fi +fl +had +were +which +him +their +been +would +then +them +could +during +through +between +while +later +around +did +such +being +used +against +many +both +these +known +until +even +didn +because +born +since +still +became +any +including +took +same +each +called +much +however +four +another +found +won +going +away +hand +several +following +released +played +began +district +those +held +own +early +league +government +came +based +thought +looked +along +went +few +father +former +located +got +though +every +century +without +within +building +large +named +started +once +should +built +british +death +moved +door +need +president +wasn +although +due +major +died +third +knew +asked +turned +wanted +together +received +son +served +different +behind +himself +felt +members +football +near +having +saw +mother +army +front +late +hands +put +division +across +told +often +ever +french +six +include +tell +among +species +really +according +half +original +gave +making +enough +opened +must +included +given +german +woman +community +might +million +court +short +round +seen +always +become +sure +almost +director +council +career +things +using +couldn +better +students +married +nothing +worked +others +record +anything +continued +give +military +established +returned +does +written +thing +feet +far +already +championship +western +department +role +various +production +television +produced +working +region +present +period +looking +least +total +england +wife +per +brother +soon +political +taken +created +further +able +reached +joined +upon +done +important +either +appeared +position +ground +lead +election +arms +police +instead +words +moment +someone +announced +less +wrote +past +followed +founded +finally +india +taking +records +considered +northern +toward +european +outside +described +track +playing +heard +professional +australia +miles +yet +trying +blood +southern +maybe +everything +mouth +race +recorded +above +daughter +points +middle +move +tried +elected +closed +ten +minister +chief +person +similar +brought +rest +formed +floor +doing +killed +training +needed +turn +finished +railway +rather +sent +example +ran +term +coming +currently +forces +despite +areas +fact +dead +originally +germany +probably +developed +pulled +stood +signed +songs +child +eventually +met +average +teams +minutes +current +kind +decided +usually +eastern +seemed +episode +bed +added +indian +route +available +throughout +addition +appointed +eight +construction +mean +remained +schools +sometimes +events +possible +australian +forward +debut +seat +performance +committee +features +character +herself +lot +russian +range +hours +sold +quickly +directed +guitar +performed +players +smile +myself +placed +province +towards +wouldn +leading +whole +designed +census +europe +attack +japanese +getting +alone +lower +wide +hospital +believe +changed +sister +gone +hadn +ship +studies +academy +shot +below +involved +kept +largest +especially +beginning +movement +section +female +professor +lord +longer +walked +actually +civil +families +thus +aircraft +completed +includes +captain +fight +vocals +featured +fourth +officer +hear +means +medical +groups +lips +competition +entire +lived +leaving +federal +tournament +passed +independent +kingdom +spent +fine +doesn +reported +fall +raised +itself +replaced +leader +theatre +whose +parents +spanish +canadian +degree +writing +awarded +higher +coast +provided +senior +organization +stopped +onto +countries +parts +conference +interest +saying +allowed +earlier +matter +winning +try +happened +moving +los +breath +nearly +mid +certain +italian +african +standing +fell +artist +shows +deal +mine +industry +everyone +republic +provide +student +primary +owned +older +heavy +1st +makes +attention +anyone +africa +stated +length +ended +fingers +command +staff +foreign +opening +governor +okay +medal +kill +introduced +chest +hell +feeling +success +meet +reason +meeting +novel +trade +buildings +guy +goal +native +husband +previously +entered +producer +operations +takes +covered +forced +roman +complete +successful +texas +cold +traditional +films +clear +approximately +nine +prince +question +tracks +ireland +regional +personal +operation +economic +holding +twenty +additional +hour +regular +historic +places +whom +shook +km² +secretary +prior +scored +units +ask +property +ready +immediately +month +listed +contract +themselves +lines +navy +writer +meant +runs +practice +championships +singer +commission +required +starting +generally +giving +attended +couple +stand +catholic +caught +executive +thinking +chair +quite +shoulder +hope +decision +plays +defeated +municipality +whether +offered +slowly +pain +direction +mission +mostly +noted +individual +managed +lives +plant +helped +except +studied +computer +figure +relationship +issue +significant +loss +smiled +gun +highest +male +bring +goals +mexico +problem +distance +commercial +completely +location +annual +famous +neck +caused +italy +understand +greek +highway +wrong +comes +appearance +issues +musical +companies +castle +income +assembly +bass +initially +parliament +artists +experience +particular +walk +foot +engineering +talking +dropped +boys +stars +remember +carried +train +stadium +angeles +evidence +becoming +assistant +soviet +upper +youth +reach +actor +numerous +nodded +arrived +minute +believed +complex +victory +associated +temple +chance +perhaps +bishop +launched +particularly +retired +subject +prize +contains +yeah +theory +empire +suddenly +waiting +trust +recording +terms +champion +religious +zealand +names +2nd +ancient +corner +represented +legal +justice +cause +watched +brothers +material +changes +simply +response +answer +historical +stories +straight +feature +increased +administration +virginia +activities +cultural +overall +winner +programs +basketball +legs +guard +cast +doctor +flight +results +remains +cost +effect +winter +larger +islands +problems +chairman +grew +commander +isn +failed +selected +hurt +fort +regiment +majority +plans +shown +pretty +irish +characters +directly +scene +likely +operated +allow +matches +looks +houses +fellow +marriage +rules +florida +expected +nearby +congress +peace +recent +wait +subsequently +variety +serving +agreed +poor +attempt +wood +democratic +rural +mile +appears +township +soldiers +##ized +pennsylvania +closer +fighting +claimed +score +physical +filled +genus +specific +sitting +mom +therefore +supported +status +fear +cases +meaning +wales +minor +spain +vice +parish +separate +horse +fifth +remaining +branch +presented +stared +uses +forms +baseball +exactly +choice +discovered +composed +truth +russia +dad +ring +referred +numbers +greater +metres +slightly +direct +increase +responsible +crew +rule +trees +troops +broke +goes +individuals +hundred +weight +creek +sleep +defense +provides +ordered +jewish +safe +judge +whatever +corps +realized +growing +cities +gaze +lies +spread +letter +showed +situation +mayor +transport +watching +workers +extended +expression +normal +chart +multiple +border +mrs +walls +piano +heat +cannot +earned +products +drama +era +authority +seasons +join +grade +difficult +territory +mainly +stations +squadron +stepped +iron +19th +serve +appear +speak +broken +charge +knowledge +kilometres +removed +ships +campus +pushed +britain +leaves +recently +boston +latter +acquired +poland +quality +officers +presence +planned +nations +mass +broadcast +influence +wild +emperor +electric +headed +ability +promoted +yellow +ministry +throat +smaller +politician +latin +spoke +cars +males +lack +acting +seeing +consists +estate +pressure +newspaper +olympics +conditions +beat +elements +walking +vote +needs +carolina +featuring +levels +francisco +purpose +females +dutch +duke +ahead +gas +safety +serious +turning +highly +lieutenant +firm +amount +mixed +proposed +perfect +agreement +affairs +3rd +seconds +contemporary +paid +prison +label +administrative +intended +constructed +academic +teacher +races +formerly +nation +issued +shut +drums +housing +seems +graduated +mentioned +picked +recognized +shortly +protection +picture +notable +elections +1980s +loved +percent +racing +elizabeth +volume +hockey +beside +settled +competed +replied +drew +actress +marine +scotland +steel +glanced +farm +risk +tonight +positive +singles +effects +gray +screen +residents +sides +none +secondary +literature +polish +destroyed +flying +founder +households +lay +reserve +industrial +younger +approach +appearances +ones +finish +powerful +fully +growth +honor +jersey +projects +revealed +infantry +pair +equipment +visit +evening +grant +effort +treatment +buried +republican +primarily +bottom +owner +1970s +israel +gives +remain +spot +produce +champions +accepted +ways +##ally +losing +split +capacity +basis +trial +questions +20th +guess +officially +memorial +naval +initial +##ization +whispered +median +engineer +sydney +columbia +strength +tears +senate +asian +draw +warm +supposed +transferred +leaned +candidate +escape +mountains +potential +activity +seem +traffic +murder +slow +orchestra +haven +agency +taught +website +comedy +unable +storm +planning +albums +rugby +environment +scientific +grabbed +protect +boat +typically +damage +principal +divided +dedicated +ohio +pick +fought +driver +empty +shoulders +sort +thank +berlin +prominent +account +freedom +necessary +efforts +headquarters +follows +alongside +suggested +operating +steps +technical +begin +easily +teeth +speaking +settlement +scale +renamed +enemy +semi +joint +compared +scottish +leadership +analysis +offers +georgia +pieces +captured +animal +deputy +organized +combined +method +challenge +1960s +huge +wants +battalion +sons +rise +crime +types +facilities +telling +platform +sit +1990s +tells +assigned +pull +commonly +alive +letters +concept +conducted +wearing +happen +bought +becomes +holy +gets +defeat +languages +purchased +occurred +titled +declared +applied +sciences +concert +sounds +jazz +brain +painting +fleet +tax +michigan +animals +leaders +episodes +birth +clubs +palace +critical +refused +fair +leg +laughed +returning +surrounding +participated +formation +lifted +pointed +connected +rome +medicine +laid +powers +tall +shared +focused +knowing +yards +entrance +falls +calling +sources +chosen +beneath +resources +yard +nominated +silence +defined +gained +thirty +bodies +adopted +christmas +widely +register +apart +iran +premier +serves +unknown +parties +generation +continues +fields +brigade +quiet +teaching +clothes +impact +weapons +partner +flat +theater +relations +plants +suffered +begins +seats +armed +models +worth +laws +communities +classes +background +knows +thanks +quarter +reaching +humans +carry +killing +format +setting +architecture +disease +railroad +possibly +arthur +thoughts +doors +density +crowd +illinois +stomach +tone +unique +reports +anyway +liberal +vehicle +thick +dry +drug +faced +largely +facility +theme +holds +creation +strange +colonel +revolution +politics +turns +silent +rail +relief +independence +combat +shape +determined +sales +learned +4th +finger +providing +heritage +fiction +situated +designated +allowing +hosted +sight +interview +estimated +reduced +toronto +footballer +keeping +guys +damn +claim +motion +sixth +stayed +rear +receive +handed +twelve +dress +audience +granted +brazil +spirit +##ated +noticed +olympic +representative +tight +trouble +reviews +drink +vampire +missing +roles +ranked +newly +household +finals +critics +phase +massachusetts +pilot +unlike +philadelphia +bright +guns +crown +organizations +roof +respectively +clearly +tongue +marked +circle +bronze +expanded +sexual +supply +yourself +inspired +labour +reference +draft +connection +reasons +driving +jesus +cells +entry +neither +trail +claims +atlantic +orders +labor +nose +afraid +identified +intelligence +calls +cancer +attacked +passing +positions +imperial +grey +swedish +avoid +extra +uncle +covers +allows +surprise +materials +fame +hunter +citizens +figures +environmental +confirmed +shit +titles +performing +difference +acts +attacks +existing +votes +opportunity +nor +entirely +trains +opposite +pakistan +develop +resulted +representatives +actions +reality +pressed +barely +conversation +faculty +northwest +ends +documentary +nuclear +stock +sets +eat +alternative +resulting +creating +surprised +cemetery +drop +finding +cricket +streets +tradition +ride +ear +explained +composer +injury +apartment +municipal +educational +occupied +netherlands +clean +billion +constitution +learn +maximum +classical +lose +opposition +ontario +hills +rolled +ending +drawn +permanent +lewis +sites +chamber +scoring +height +lyrics +staring +officials +snow +oldest +qualified +interior +apparently +succeeded +thousand +dinner +lights +existence +heavily +greatest +conservative +send +bowl +catch +duty +speech +authorities +princess +performances +versions +shall +graduate +pictures +effective +remembered +poetry +desk +crossed +starring +starts +passenger +sharp +acres +ass +weather +falling +rank +fund +supporting +adult +heads +southeast +lane +condition +transfer +prevent +regions +earl +federation +relatively +answered +besides +obtained +portion +reaction +liked +peak +counter +religion +chain +rare +convention +aid +lie +vehicles +perform +squad +wonder +lying +crazy +sword +attempted +centuries +weren +philosophy +interested +sweden +wolf +frequently +abandoned +literary +alliance +task +entitled +threw +promotion +tiny +soccer +visited +achieved +defence +internal +persian +methods +arrested +otherwise +programming +villages +elementary +districts +rooms +criminal +conflict +worry +trained +attempts +waited +signal +truck +subsequent +programme +communist +faith +sector +carrying +laugh +controlled +korean +showing +origin +fuel +evil +brief +identity +darkness +pool +missed +publication +wings +invited +briefly +standards +kissed +ideas +climate +causing +walter +worse +albert +winners +desire +aged +northeast +dangerous +gate +doubt +wooden +poet +rising +funding +communications +communication +violence +copies +prepared +investigation +skills +pulling +containing +ultimately +offices +singing +understanding +tomorrow +christ +ward +pope +stands +5th +flow +studios +aired +commissioned +contained +exist +americans +wrestling +approved +kid +employed +respect +suit +asking +increasing +frame +angry +selling +1950s +thin +finds +temperature +statement +ali +explain +inhabitants +towns +extensive +narrow +flowers +promise +somewhere +closely +bureau +cape +weekly +presidential +legislative +launch +founding +artillery +strike +un +institutions +roll +writers +landing +chose +anymore +attorney +billboard +receiving +agricultural +breaking +sought +dave +admitted +lands +mexican +##bury +specifically +hole +moscow +roads +accident +proved +struck +guards +stuff +slid +expansion +melbourne +opposed +sub +southwest +architect +failure +plane +tank +listen +regarding +wet +introduction +metropolitan +fighter +inch +grown +gene +anger +fixed +khan +domestic +worldwide +chapel +mill +functions +examples +developing +turkey +hits +pocket +antonio +papers +grow +unless +circuit +18th +concerned +attached +journalist +selection +journey +converted +provincial +painted +hearing +aren +bands +negative +aside +wondered +knight +lap +noise +billy +shooting +bedroom +priest +resistance +motor +homes +sounded +giant +scenes +equal +comic +patients +hidden +solid +actual +bringing +afternoon +touched +funds +consisted +marie +canal +treaty +turkish +recognition +residence +cathedral +broad +knees +incident +shaped +fired +norwegian +handle +cheek +contest +represent +representing +birds +advantage +emergency +wrapped +drawing +notice +broadcasting +somehow +bachelor +seventh +collected +registered +establishment +assumed +chemical +personnel +retirement +portuguese +wore +tied +device +threat +progress +advance +##ised +banks +hired +manchester +nfl +teachers +structures +forever +tennis +helping +saturday +applications +junction +incorporated +neighborhood +dressed +ceremony +influenced +hers +stairs +decades +inner +kansas +hung +hoped +gain +scheduled +downtown +engaged +austria +clock +norway +certainly +pale +victor +employees +plate +putting +surrounded +##ists +finishing +blues +tropical +minnesota +consider +philippines +accept +retrieved +concern +anderson +properties +institution +gordon +successfully +vietnam +backing +outstanding +muslim +crossing +folk +producing +usual +demand +occurs +observed +lawyer +educated +pleasure +budget +items +quietly +colorado +philip +typical +##worth +derived +survived +asks +mental +jake +jews +distinguished +sri +extremely +athletic +loud +thousands +worried +transportation +horses +weapon +arena +importance +users +objects +contributed +douglas +aware +senator +johnny +sisters +engines +flag +investment +samuel +shock +capable +clark +row +wheel +refers +familiar +biggest +wins +hate +maintained +drove +hamilton +expressed +injured +underground +churches +wars +tunnel +passes +stupid +agriculture +softly +cabinet +regarded +joining +indiana +dates +spend +behavior +woods +protein +gently +chase +morgan +mention +burning +wake +combination +occur +mirror +leads +indeed +impossible +paintings +covering +soldier +locations +attendance +sell +historian +wisconsin +invasion +argued +painter +diego +changing +egypt +experienced +inches +missouri +grounds +spoken +switzerland +reform +rolling +forget +massive +resigned +burned +tennessee +locked +values +improved +wounded +universe +sick +dating +facing +purchase +##pur +moments +merged +anniversary +coal +brick +understood +causes +dynasty +queensland +establish +stores +crisis +promote +hoping +cards +referee +extension +raise +arizona +improve +colonial +formal +charged +palm +hide +rescue +faces +feelings +candidates +juan +6th +courses +weekend +luke +cash +fallen +delivered +affected +installed +carefully +tries +hollywood +costs +lincoln +responsibility +shore +proper +normally +maryland +assistance +constant +offering +friendly +waters +persons +realize +contain +trophy +partnership +factor +musicians +bound +oregon +indicated +houston +medium +consisting +somewhat +cycle +beer +moore +frederick +gotten +worst +weak +approached +arranged +chin +loan +bond +fifteen +pattern +disappeared +translated +##zed +lip +arab +capture +interests +insurance +shifted +cave +prix +warning +sections +courts +coat +plot +smell +golf +favorite +maintain +knife +voted +degrees +finance +quebec +opinion +translation +manner +ruled +operate +productions +choose +musician +confused +tired +separated +stream +techniques +committed +attend +ranking +kings +throw +passengers +measure +horror +mining +sand +danger +salt +calm +decade +dam +require +runner +rush +associate +greece +rivers +consecutive +matthew +##ski +sighed +sq +documents +closing +tie +accused +islamic +distributed +directors +organisation +7th +breathing +mad +lit +arrival +concrete +taste +composition +shaking +faster +amateur +adjacent +stating +twin +flew +publications +obviously +ridge +storage +carl +pages +concluded +desert +driven +universities +ages +terminal +sequence +borough +constituency +cousin +economics +dreams +margaret +notably +reduce +montreal +17th +ears +saved +vocal +riding +roughly +threatened +meters +meanwhile +landed +compete +repeated +grass +czech +regularly +charges +sudden +appeal +solution +describes +classification +glad +parking +belt +physics +rachel +hungarian +participate +expedition +damaged +gift +childhood +fifty +mathematics +jumped +letting +defensive +mph +testing +hundreds +shoot +owners +matters +smoke +israeli +kentucky +dancing +mounted +grandfather +designs +profit +argentina +truly +lawrence +cole +begun +detroit +willing +branches +smiling +decide +miami +enjoyed +recordings +##dale +poverty +ethnic +arabic +accompanied +fishing +determine +residential +acid +returns +starred +strategy +forty +businesses +equivalent +commonwealth +distinct +ill +seriously +##ped +harris +replace +rio +imagine +formula +ensure +additionally +scheme +conservation +occasionally +purposes +feels +favor +1930s +contrast +hanging +hunt +movies +instruments +victims +danish +christopher +busy +demon +sugar +earliest +colony +studying +duties +belgium +slipped +carter +visible +stages +iraq +commune +forming +continuing +talked +counties +legend +bathroom +option +tail +clay +daughters +afterwards +severe +jaw +visitors +devices +aviation +entering +subjects +temporary +swimming +forth +smooth +bush +operates +rocks +movements +signs +eddie +voices +honorary +memories +dallas +measures +racial +promised +harvard +16th +parliamentary +indicate +benefit +flesh +dublin +louisiana +patient +sleeping +membership +coastal +medieval +wanting +element +scholars +rice +limit +survive +makeup +rating +definitely +collaboration +obvious +baron +birthday +linked +soil +diocese +ncaa +offensive +shouldn +waist +plain +ross +organ +resolution +manufacturing +adding +relative +kennedy +whilst +moth +gardens +crash +heading +partners +credited +carlos +moves +cable +marshall +depending +bottle +represents +rejected +responded +existed +denmark +##ating +treated +graham +routes +talent +commissioner +drugs +secure +tests +reign +restored +photography +contributions +oklahoma +designer +disc +grin +seattle +robin +paused +atlanta +unusual +praised +las +laughing +satellite +hungary +visiting +interesting +factors +deck +poems +norman +##water +stuck +speaker +rifle +premiered +comics +actors +reputation +eliminated +8th +ceiling +prisoners +leather +austin +mississippi +rapidly +admiral +parallel +charlotte +guilty +tools +gender +divisions +fruit +laboratory +nelson +marry +rapid +aunt +tribe +requirements +aspects +suicide +amongst +adams +bone +ukraine +kick +sees +edinburgh +clothing +column +rough +gods +hunting +broadway +gathered +concerns +spending +ty +12th +snapped +requires +solar +bones +cavalry +iowa +drinking +waste +franklin +charity +thompson +stewart +tip +landscape +enjoy +singh +poem +listening +eighth +fred +differences +adapted +bomb +ukrainian +surgery +corporate +masters +anywhere +waves +odd +portugal +orleans +dick +debate +kent +eating +puerto +cleared +expect +cinema +guitarist +blocks +electrical +agree +involving +depth +dying +panel +struggle +peninsula +adults +novels +emerged +vienna +debuted +shoes +tamil +songwriter +meets +prove +beating +instance +heaven +scared +sending +marks +artistic +passage +superior +significantly +retained +##izing +technique +cheeks +warren +maintenance +destroy +extreme +allied +appearing +fill +advice +alabama +qualifying +policies +cleveland +hat +battery +authors +10th +soundtrack +acted +dated +lb +glance +equipped +coalition +funny +outer +ambassador +roy +possibility +couples +campbell +loose +ethan +supplies +gonna +monster +shake +agents +frequency +springs +dogs +practices +gang +plastic +easier +suggests +gulf +blade +exposed +colors +industries +markets +nervous +electoral +charts +legislation +ownership +##idae +appointment +shield +assault +socialist +abbey +monument +license +throne +employment +replacement +charter +suffering +accounts +oak +connecticut +strongly +wright +colour +13th +context +welsh +networks +voiced +gabriel +forehead +manage +schedule +totally +remix +forests +occupation +print +nicholas +brazilian +strategic +vampires +engineers +roots +seek +correct +instrumental +und +alfred +backed +stanley +robinson +traveled +wayne +austrian +achieve +exit +rates +strip +whereas +sing +deeply +adventure +bobby +jamie +careful +components +cap +useful +personality +knee +pushing +hosts +protest +ottoman +symphony +boundary +processes +considering +considerable +tons +cooper +trading +conduct +illegal +revolutionary +definition +harder +jacob +circumstances +destruction +popularity +grip +classified +liverpool +baltimore +flows +seeking +honour +approval +mechanical +till +happening +statue +critic +increasingly +immediate +describe +commerce +stare +indonesia +meat +rounds +boats +baker +orthodox +depression +formally +worn +naked +muttered +sentence +11th +document +criticism +wished +vessel +spiritual +bent +virgin +minimum +murray +lunch +danny +printed +compilation +keyboards +blow +belonged +raising +cutting +pittsburgh +9th +shadows +hated +indigenous +jon +15th +barry +scholar +oliver +stick +susan +meetings +attracted +spell +romantic +ye +demanded +customers +logan +revival +keys +modified +commanded +jeans +upset +phil +detective +hiding +resident +##bly +experiences +diamond +defeating +coverage +lucas +external +parks +franchise +helen +bible +successor +percussion +celebrated +lift +clan +romania +##ied +mills +nobody +achievement +shrugged +fault +rhythm +initiative +breakfast +carbon +lasted +violent +wound +killer +gradually +filmed +°c +processing +remove +criticized +guests +sang +chemistry +legislature +##bridge +uniform +escaped +integrated +proposal +purple +denied +liquid +influential +morris +nights +stones +intense +experimental +twisted +pace +nazi +mitchell +ny +blind +reporter +newspapers +14th +centers +burn +basin +forgotten +surviving +filed +collections +monastery +losses +manual +couch +description +appropriate +merely +missions +sebastian +restoration +replacing +triple +elder +julia +warriors +benjamin +julian +convinced +stronger +amazing +declined +versus +merchant +happens +output +finland +bare +barbara +absence +ignored +dawn +injuries +producers +luis +##ities +kw +admit +expensive +electricity +exception +symbol +ladies +shower +sheriff +characteristics +##je +aimed +button +ratio +effectively +summit +angle +jury +bears +foster +vessels +pants +executed +evans +dozen +advertising +kicked +patrol +competitions +lifetime +principles +athletics +birmingham +sponsored +rob +nomination +acoustic +creature +longest +credits +harbor +dust +josh +territories +milk +infrastructure +completion +thailand +indians +leon +archbishop +assist +pitch +blake +arrangement +girlfriend +serbian +operational +hence +sad +scent +fur +sessions +refer +rarely +exists +1892 +scientists +dirty +penalty +burst +portrait +seed +pole +limits +rival +stable +grave +constitutional +alcohol +arrest +flower +mystery +devil +architectural +relationships +greatly +habitat +##istic +larry +progressive +remote +cotton +preserved +reaches +cited +vast +scholarship +decisions +teach +editions +knocked +eve +searching +partly +participation +animated +fate +excellent +alternate +saints +youngest +climbed +suggest +discussion +staying +choir +lakes +jacket +revenue +nevertheless +peaked +instrument +wondering +annually +managing +neil +1891 +signing +terry +apply +clinical +brooklyn +aim +catherine +fuck +farmers +figured +ninth +pride +hugh +ordinary +involvement +comfortable +shouted +encouraged +representation +sharing +panic +exact +cargo +competing +fat +cried +1920s +occasions +cabin +borders +utah +marcus +##isation +badly +muscles +victorian +transition +warner +bet +permission +slave +terrible +similarly +shares +seth +uefa +possession +medals +benefits +colleges +lowered +perfectly +transit +##kar +publisher +##ened +harrison +deaths +elevation +asleep +machines +sigh +ash +hardly +argument +occasion +parent +decline +contribution +concentration +opportunities +hispanic +guardian +extent +emotions +hips +mason +volumes +bloody +controversy +diameter +steady +mistake +phoenix +identify +violin +departure +richmond +spin +funeral +enemies +1864 +literally +connor +random +sergeant +grab +confusion +1865 +transmission +informed +leaning +sacred +suspended +thinks +gates +portland +luck +agencies +yours +hull +expert +muscle +layer +practical +sculpture +jerusalem +latest +lloyd +statistics +deeper +recommended +warrior +arkansas +mess +supports +greg +eagle +recovered +rated +concerts +rushed +stops +eggs +premiere +keith +delhi +turner +pit +affair +belief +paint +##zing +victim +withdrew +bonus +styles +fled +glasgow +technologies +funded +adaptation +portrayed +cooperation +supporters +judges +bernard +hallway +ralph +graduating +controversial +distant +continental +spider +bite +recognize +intention +mixing +egyptian +bow +tourism +suppose +claiming +dominated +participants +nurse +partially +tape +psychology +essential +touring +duo +voting +civilian +emotional +channels +apparent +hebrew +1887 +tommy +carrier +intersection +beast +hudson +bench +discuss +costa +##ered +detailed +behalf +drivers +unfortunately +obtain +rocky +##dae +siege +friendship +1861 +hang +governments +collins +respond +wildlife +preferred +operator +laura +pregnant +videos +dennis +suspected +boots +instantly +weird +automatic +businessman +alleged +placing +throwing +mood +1862 +perry +venue +jet +remainder +passion +biological +boyfriend +1863 +dirt +buffalo +ron +segment +abuse +genre +thrown +stroke +colored +stress +exercise +displayed +struggled +abroad +dramatic +wonderful +thereafter +madrid +component +widespread +##sed +tale +citizen +todd +vancouver +overseas +forcing +crying +descent +discussed +substantial +ranks +regime +provinces +drum +zane +tribes +proof +researchers +volunteer +manor +silk +milan +donated +allies +venture +principle +delivery +enterprise +bars +traditionally +witch +reminded +copper +pete +inter +colin +grinned +elsewhere +competitive +frequent +scream +tension +texts +submarine +finnish +defending +defend +pat +detail +affiliated +stuart +themes +periods +tool +belgian +ruling +crimes +answers +folded +licensed +demolished +hans +lucy +1881 +lion +traded +photographs +writes +craig +trials +generated +beth +noble +debt +percentage +yorkshire +erected +viewed +grades +confidence +ceased +islam +telephone +retail +chile +m² +roberts +sixteen +commented +hampshire +innocent +dual +pounds +checked +regulations +afghanistan +sung +rico +liberty +assets +bigger +options +angels +relegated +tribute +wells +attending +leaf +romanian +monthly +patterns +gmina +madison +hurricane +rev +##ians +bristol +elite +valuable +disaster +democracy +awareness +germans +freyja +loop +absolutely +paying +populations +maine +sole +prayer +spencer +releases +doorway +bull +lover +midnight +conclusion +thirteen +mediterranean +nhl +proud +sample +##hill +drummer +guinea +murphy +climb +instant +attributed +horn +ain +railways +autumn +ferry +opponent +traveling +secured +corridor +stretched +tales +sheet +trinity +cattle +helps +indicates +manhattan +murdered +fitted +gentle +grandmother +mines +shocked +vegas +produces +caribbean +belong +continuous +desperate +drunk +historically +trio +waved +raf +dealing +nathan +murmured +interrupted +residing +scientist +pioneer +harold +aaron +delta +attempting +minority +believes +chorus +tend +lots +eyed +indoor +load +shots +updated +jail +concerning +connecting +wealth +slaves +arrive +rangers +sufficient +rebuilt +##wick +cardinal +flood +muhammad +whenever +relation +runners +moral +repair +viewers +arriving +revenge +punk +assisted +bath +fairly +breathe +lists +innings +illustrated +whisper +nearest +voters +clinton +ties +ultimate +screamed +beijing +lions +andre +fictional +gathering +comfort +radar +suitable +dismissed +hms +ban +pine +wrist +atmosphere +voivodeship +bid +timber +##ned +giants +cameron +recovery +uss +identical +categories +switched +serbia +laughter +noah +ensemble +therapy +peoples +touching +##off +locally +pearl +platforms +everywhere +ballet +tables +lanka +herbert +outdoor +toured +derek +1883 +spaces +contested +swept +1878 +exclusive +slight +connections +winds +prisoner +collective +bangladesh +tube +publicly +wealthy +isolated +insisted +fortune +ticket +spotted +reportedly +animation +enforcement +tanks +decides +wider +lowest +owen +nod +hitting +gregory +furthermore +magazines +fighters +solutions +pointing +requested +peru +reed +chancellor +knights +mask +worker +eldest +flames +reduction +volunteers +reporting +wire +advisory +endemic +origins +settlers +pursue +knock +consumer +1876 +eu +compound +creatures +mansion +sentenced +ivan +deployed +guitars +frowned +involves +mechanism +kilometers +perspective +shops +terminus +duncan +alien +fist +bridges +##pers +heroes +derby +swallowed +patent +sara +illness +characterized +adventures +slide +hawaii +jurisdiction +organised +adelaide +walks +biology +rogers +swing +tightly +boundaries +prepare +implementation +stolen +certified +colombia +edwards +garage +recalled +rage +harm +nigeria +breast +furniture +pupils +settle +cuba +balls +alaska +21st +linear +thrust +celebration +latino +genetic +terror +##ening +lightning +fee +witness +lodge +establishing +skull +earning +hood +rebellion +sporting +warned +missile +devoted +activist +porch +worship +fourteen +package +decorated +##shire +housed +chess +sailed +doctors +oscar +joan +treat +garcia +harbour +jeremy +traditions +dominant +jacques +##gon +relocated +1879 +amendment +sized +companion +simultaneously +volleyball +spun +acre +increases +stopping +loves +belongs +affect +drafted +tossed +scout +battles +1875 +filming +shoved +munich +tenure +vertical +romance +argue +craft +ranging +opens +honest +tyler +yesterday +muslims +reveal +snake +immigrants +radical +screaming +speakers +firing +saving +belonging +ease +lighting +prefecture +blame +farmer +hungry +grows +rubbed +beam +sur +subsidiary +armenian +dropping +conventional +qualify +spots +sweat +festivals +immigration +physician +discover +exposure +sandy +explanation +isaac +implemented +##fish +hart +initiated +stakes +presents +heights +householder +pleased +tourist +regardless +slip +closest +surely +sultan +brings +riley +preparation +aboard +slammed +baptist +experiment +ongoing +interstate +organic +playoffs +1877 +hindu +tours +tier +plenty +arrangements +talks +trapped +excited +sank +athens +1872 +denver +welfare +suburb +athletes +trick +diverse +belly +exclusively +yelled +conversion +1874 +internationally +computers +conductor +abilities +sensitive +dispute +measured +globe +rocket +prices +amsterdam +flights +tigers +municipalities +emotion +references +explains +airlines +manufactured +archaeological +1873 +interpretation +devon +##ites +settlements +kissing +absolute +improvement +impressed +barcelona +sullivan +jefferson +towers +jesse +julie +grandson +gauge +regard +rings +interviews +trace +raymond +thumb +departments +burns +serial +bulgarian +scores +demonstrated +1866 +kyle +alberta +underneath +romanized +relieved +acquisition +phrase +cliff +reveals +cuts +merger +custom +nee +gilbert +graduation +assessment +difficulty +demands +swung +democrat +commons +1940s +grove +completing +focuses +sum +substitute +bearing +stretch +reception +reflected +essentially +destination +pairs +##ched +survival +resource +##bach +promoting +doubles +messages +tear +##fully +parade +florence +harvey +incumbent +partial +pedro +frozen +procedure +olivia +controls +shelter +personally +temperatures +brisbane +tested +sits +marble +comprehensive +oxygen +leonard +##kov +inaugural +iranian +referring +quarters +attitude +mainstream +lined +mars +dakota +norfolk +unsuccessful +explosion +helicopter +congressional +##sing +inspector +bitch +seal +departed +divine +coaching +examination +punishment +manufacturer +sink +columns +unincorporated +signals +nevada +squeezed +dylan +dining +martial +manuel +eighteen +elevator +brushed +plates +ministers +congregation +slept +specialized +taxes +restricted +negotiations +likes +statistical +arnold +inspiration +execution +bold +intermediate +significance +margin +ruler +wheels +gothic +intellectual +dependent +listened +eligible +buses +widow +syria +earn +cincinnati +collapsed +recipient +secrets +accessible +philippine +maritime +goddess +clerk +surrender +breaks +playoff +ideal +beetle +aspect +soap +regulation +strings +expand +anglo +shorter +crosses +retreat +tough +coins +wallace +directions +pressing +shipping +locomotives +comparison +topics +nephew +distinction +honors +travelled +sierra +ibn +fortress +recognised +carved +1869 +clients +intent +coaches +describing +bread +##ington +beaten +northwestern +merit +collapse +challenges +historians +objective +submitted +virus +attacking +drake +assume +diseases +stem +leeds +farming +glasses +visits +nowhere +fellowship +relevant +carries +restaurants +experiments +constantly +bases +targets +shah +tenth +opponents +verse +territorial +writings +corruption +instruction +inherited +reverse +emphasis +employee +arch +keeps +rabbi +watson +payment +uh +nancy +##tre +venice +fastest +sexy +banned +adrian +properly +ruth +touchdown +dollar +boards +metre +circles +edges +favour +travels +liberation +scattered +firmly +holland +permitted +diesel +kenya +den +originated +demons +resumed +dragged +rider +servant +blinked +extend +torn +##sey +input +meal +everybody +cylinder +kinds +camps +bullet +logic +croatian +evolved +healthy +fool +wise +preserve +pradesh +respective +artificial +gross +corresponding +convicted +cage +caroline +dialogue +##dor +narrative +stranger +mario +christianity +failing +trent +commanding +buddhist +1848 +maurice +focusing +yale +bike +altitude +mouse +revised +##sley +veteran +pulls +theology +crashed +campaigns +legion +##ability +drag +excellence +customer +cancelled +intensity +excuse +liga +participating +contributing +printing +##burn +variable +curious +legacy +renaissance +symptoms +binding +vocalist +dancer +grammar +gospel +democrats +enters +diplomatic +hitler +clouds +mathematical +quit +defended +oriented +##heim +fundamental +hardware +impressive +equally +convince +confederate +guilt +chuck +sliding +magnetic +narrowed +petersburg +bulgaria +otto +phd +skill +hopes +pitcher +reservoir +hearts +automatically +expecting +mysterious +bennett +extensively +imagined +seeds +monitor +fix +##ative +journalism +struggling +signature +ranch +encounter +photographer +observation +protests +influences +calendar +cruz +croatia +locomotive +hughes +naturally +shakespeare +basement +hook +uncredited +faded +theories +approaches +dare +phillips +filling +fury +obama +efficient +arc +deliver +breeding +inducted +leagues +efficiency +axis +montana +eagles +##ked +supplied +instructions +karen +picking +indicating +trap +anchor +practically +christians +tomb +vary +occasional +electronics +lords +readers +newcastle +faint +innovation +collect +situations +engagement +claude +mixture +##feld +peer +tissue +lean +°f +floors +architects +reducing +rope +1859 +ottawa +##har +samples +banking +declaration +proteins +resignation +francois +saudi +advocate +exhibited +armor +twins +divorce +##ras +abraham +reviewed +temporarily +matrix +physically +pulse +curled +difficulties +bengal +usage +##ban +riders +certificate +holes +warsaw +distinctive +mutual +1857 +customs +circular +eugene +removal +loaded +mere +vulnerable +depicted +generations +dame +heir +enormous +lightly +climbing +pitched +lessons +pilots +nepal +preparing +brad +louise +renowned +liam +##ably +shaw +brilliant +bills +##nik +fucking +mainland +pleasant +seized +veterans +jerked +fail +brush +radiation +stored +warmth +southeastern +nate +sin +raced +berkeley +joke +athlete +designation +trunk +roland +qualification +heels +artwork +receives +judicial +reserves +##bed +woke +installation +abu +floating +fake +lesser +excitement +interface +concentrated +addressed +characteristic +amanda +saxophone +monk +releasing +egg +dies +interaction +defender +outbreak +glory +loving +sequel +consciousness +awake +ski +enrolled +handling +rookie +brow +somebody +biography +warfare +amounts +contracts +presentation +fabric +dissolved +challenged +meter +psychological +elevated +rally +accurate +##tha +hospitals +undergraduate +specialist +venezuela +exhibit +shed +nursing +protestant +fluid +structural +footage +jared +consistent +prey +##ska +succession +reflect +exile +lebanon +wiped +suspect +shanghai +resting +integration +preservation +marvel +variant +pirates +sheep +rounded +capita +sailing +colonies +manuscript +deemed +variations +clarke +functional +emerging +boxing +relaxed +curse +azerbaijan +heavyweight +nickname +editorial +rang +grid +tightened +earthquake +flashed +miguel +rushing +##ches +improvements +boxes +brooks +consumption +molecular +felix +societies +repeatedly +variation +aids +civic +graphics +professionals +realm +autonomous +receiver +delayed +workshop +militia +chairs +canyon +harsh +extending +lovely +happiness +##jan +stake +eyebrows +embassy +wellington +hannah +corners +bishops +swear +cloth +contents +namely +commenced +1854 +stanford +nashville +courage +graphic +commitment +garrison +hamlet +clearing +rebels +attraction +literacy +cooking +ruins +temples +jenny +humanity +celebrate +hasn +freight +sixty +rebel +bastard +newton +deer +##ges +##ching +smiles +delaware +singers +approaching +assists +flame +boulevard +barrel +planted +pursuit +consequences +shallow +invitation +rode +depot +ernest +kane +rod +concepts +preston +topic +chambers +striking +blast +arrives +descendants +montgomery +ranges +worlds +chaos +praise +fewer +1855 +sanctuary +mud +programmes +maintaining +harper +bore +handsome +closure +tournaments +nebraska +linda +facade +puts +satisfied +argentine +dale +cork +dome +panama +##yl +1858 +tasks +experts +##ates +feeding +equation +engage +bryan +um +quartet +disbanded +sheffield +blocked +gasped +delay +kisses +connects +##non +sts +poured +creator +publishers +guided +ellis +extinct +hug +gaining +##ord +complicated +poll +clenched +investigate +thereby +quantum +spine +cdp +humor +kills +administered +semifinals +encountered +ignore +commentary +##maker +bother +roosevelt +plains +halfway +flowing +cultures +crack +imprisoned +neighboring +airline +gather +wolves +marathon +transformed +cruise +organisations +punch +exhibitions +numbered +alarm +ratings +daddy +silently +##stein +queens +colours +impression +guidance +tactical +##rat +marshal +della +arrow +rested +feared +tender +owns +bitter +advisor +escort +##ides +spare +farms +grants +dragons +encourage +colleagues +cameras +sucked +pile +spirits +prague +statements +suspension +landmark +fence +torture +recreation +bags +permanently +survivors +pond +spy +predecessor +bombing +coup +protecting +transformation +glow +##lands +dug +priests +andrea +feat +barn +jumping +##ologist +casualties +stern +auckland +pipe +serie +revealing +trevor +mercy +spectrum +consist +governing +collaborated +possessed +epic +comprises +blew +shane +lopez +honored +magical +sacrifice +judgment +perceived +hammer +baronet +tune +das +missionary +sheets +neutral +oral +threatening +attractive +shade +aims +seminary +estates +1856 +michel +wounds +refugees +manufacturers +mercury +syndrome +porter +##iya +##din +hamburg +identification +upstairs +purse +widened +pause +cared +breathed +affiliate +santiago +prevented +celtic +fisher +recruited +byzantine +reconstruction +farther +diet +sake +spite +sensation +blank +separation +##hon +vladimir +armies +anime +accommodate +orbit +cult +sofia +##ify +founders +sustained +disorder +honours +northeastern +mia +crops +violet +threats +blanket +fires +canton +followers +southwestern +prototype +voyage +assignment +altered +moderate +protocol +pistol +questioned +brass +lifting +1852 +math +authored +doug +dimensional +dynamic +1851 +pronounced +grateful +quest +uncomfortable +boom +presidency +stevens +relating +politicians +barrier +quinn +diana +mosque +tribal +palmer +portions +sometime +chester +treasure +bend +millions +reforms +registration +consequently +monitoring +ate +preliminary +brandon +invented +eaten +exterior +intervention +ports +documented +displays +lecture +sally +favourite +vermont +invisible +isle +breed +journalists +relay +speaks +backward +explore +midfielder +actively +stefan +procedures +cannon +blond +kenneth +centered +servants +chains +libraries +malcolm +essex +henri +slavery +##hal +facts +fairy +coached +cassie +cats +washed +cop +announcement +2000s +vinyl +activated +marco +frontier +growled +curriculum +##das +loyal +accomplished +leslie +ritual +kenny +vii +napoleon +hollow +hybrid +jungle +stationed +friedrich +counted +##ulated +platinum +theatrical +seated +col +rubber +glen +diversity +healing +extends +provisions +administrator +columbus +tributary +assured +##uous +prestigious +examined +lectures +grammy +ronald +associations +bailey +allan +essays +flute +believing +consultant +proceedings +travelling +1853 +kerala +yugoslavia +buddy +methodist +burial +centres +batman +discontinued +dock +stockholm +lungs +severely +citing +manga +steal +mumbai +iraqi +robot +celebrity +bride +broadcasts +abolished +pot +joel +overhead +franz +packed +reconnaissance +johann +acknowledged +introduce +handled +doctorate +developments +drinks +alley +palestine +##aki +proceeded +recover +bradley +grain +patch +afford +infection +nationalist +legendary +interchange +virtually +gen +gravity +exploration +amber +vital +wishes +powell +doctrine +elbow +screenplay +##bird +contribute +indonesian +creates +enzyme +kylie +discipline +drops +manila +hunger +layers +suffer +fever +bits +monica +keyboard +manages +##hood +searched +appeals +##bad +testament +grande +reid +##war +beliefs +congo +requiring +casey +1849 +regret +streak +rape +depends +syrian +sprint +pound +tourists +upcoming +pub +tense +##els +practiced +nationwide +guild +motorcycle +liz +##zar +chiefs +desired +elena +precious +absorbed +relatives +booth +pianist +##mal +citizenship +exhausted +wilhelm +##ceae +##hed +noting +quarterback +urge +hectares +##gue +holly +blonde +davies +parked +sustainable +stepping +twentieth +airfield +nest +chip +##nell +shaft +paulo +requirement +paradise +tobacco +trans +renewed +vietnamese +suggesting +catching +holmes +enjoying +trips +colt +holder +butterfly +nerve +reformed +cherry +bowling +trailer +carriage +goodbye +appreciate +toy +joshua +interactive +enabled +involve +##kan +collar +determination +bunch +recall +shorts +superintendent +episcopal +frustration +giovanni +nineteenth +laser +privately +array +circulation +##ovic +armstrong +deals +painful +permit +discrimination +aires +retiring +cottage +horizon +ellen +jamaica +ripped +fernando +chapters +patron +lecturer +behaviour +genes +georgian +export +solomon +rivals +seventeen +rodriguez +princeton +independently +sox +1847 +arguing +entity +casting +hank +criteria +oakland +geographic +milwaukee +reflection +expanding +conquest +dubbed +halt +brave +brunswick +arched +curtis +divorced +predominantly +somerset +streams +ugly +zoo +horrible +curved +buenos +fierce +dictionary +vector +theological +unions +handful +stability +punjab +segments +altar +ignoring +gesture +monsters +pastor +thighs +unexpected +operators +abruptly +coin +compiled +associates +improving +migration +compact +collegiate +quarterfinals +roster +restore +assembled +hurry +oval +##cies +1846 +flags +martha +victories +sharply +##rated +argues +deadly +drawings +symbols +performer +griffin +restrictions +editing +andrews +journals +arabia +compositions +dee +pierce +removing +hindi +casino +runway +civilians +minds +##zation +refuge +rent +retain +potentially +conferences +suburban +conducting +descended +massacre +ammunition +terrain +fork +souls +counts +chelsea +durham +drives +cab +perth +realizing +palestinian +finn +simpson +##dal +betty +moreover +particles +cardinals +tent +evaluation +extraordinary +inscription +wednesday +chloe +maintains +panels +ashley +trucks +##nation +cluster +sunlight +strikes +zhang +dialect +tucked +collecting +##mas +##sville +quoted +evan +franco +aria +buying +cleaning +closet +provision +apollo +clinic +rat +necessarily +##ising +venues +flipped +cent +spreading +trustees +checking +authorized +disappointed +##ado +notion +duration +trumpet +hesitated +topped +brussels +rolls +theoretical +hint +define +aggressive +repeat +wash +peaceful +optical +width +allegedly +mcdonald +strict +##illa +investors +jam +witnesses +sounding +miranda +michelle +hugo +harmony +valid +lynn +glared +nina +headquartered +diving +boarding +gibson +albanian +marsh +routine +dealt +enhanced +intelligent +substance +targeted +enlisted +discovers +spinning +observations +pissed +smoking +capitol +varied +costume +seemingly +indies +compensation +surgeon +thursday +arsenal +westminster +suburbs +rid +anglican +##ridge +knots +foods +alumni +lighter +fraser +whoever +portal +scandal +gavin +advised +instructor +flooding +terrorist +teenage +interim +senses +duck +teen +thesis +abby +eager +overcome +newport +glenn +rises +shame +prompted +priority +forgot +bomber +nicolas +protective +cartoon +katherine +breeze +lonely +trusted +henderson +richardson +relax +palms +remarkable +legends +cricketer +essay +ordained +edmund +rifles +trigger +##uri +##away +sail +alert +1830 +audiences +penn +sussex +siblings +pursued +indianapolis +resist +rosa +consequence +succeed +avoided +1845 +##ulation +inland +##tie +##nna +counsel +profession +chronicle +hurried +##una +eyebrow +eventual +bleeding +innovative +cure +committees +accounting +scope +hardy +heather +tenor +gut +herald +codes +tore +scales +wagon +luxury +tin +prefer +fountain +triangle +bonds +darling +convoy +dried +traced +beings +troy +accidentally +slam +findings +smelled +joey +lawyers +outcome +steep +bosnia +configuration +shifting +toll +brook +performers +lobby +philosophical +construct +shrine +aggregate +cox +phenomenon +savage +insane +solely +reynolds +nationally +holdings +consideration +enable +edgar +fights +relegation +chances +atomic +hub +conjunction +awkward +reactions +currency +finale +kumar +underwent +steering +elaborate +gifts +comprising +melissa +veins +reasonable +sunshine +solve +trails +inhabited +elimination +ethics +huh +ana +molly +consent +apartments +layout +marines +hunters +bulk +##oma +hometown +##wall +##mont +cracked +reads +neighbouring +withdrawn +admission +wingspan +damned +anthology +lancashire +brands +batting +forgive +cuban +awful +##lyn +dimensions +imagination +dante +tracking +desperately +goalkeeper +##yne +groaned +workshops +confident +burton +gerald +milton +circus +uncertain +slope +copenhagen +sophia +fog +philosopher +portraits +accent +cycling +varying +gripped +larvae +garrett +specified +scotia +mature +luther +kurt +rap +##kes +aerial +ferdinand +heated +transported +##shan +safely +nonetheless +##orn +##gal +motors +demanding +##sburg +startled +##brook +ally +generate +caps +ghana +stained +mentions +beds +afterward +##bling +utility +##iro +richards +1837 +conspiracy +conscious +shining +footsteps +observer +cyprus +urged +loyalty +developer +probability +olive +upgraded +gym +miracle +insects +graves +1844 +ourselves +hydrogen +katie +tickets +poets +planes +prevention +witnessed +dense +jin +randy +tang +warehouse +monroe +archived +elderly +investigations +alec +granite +mineral +conflicts +controlling +aboriginal +mechanics +stan +stark +rhode +skirt +est +bombs +respected +##horn +imposed +limestone +deny +nominee +memphis +grabbing +disabled +amusement +frankfurt +corn +referendum +varies +slowed +disk +firms +unconscious +incredible +clue +sue +##zhou +twist +##cio +joins +idaho +chad +developers +computing +destroyer +mortal +tucker +kingston +choices +carson +whitney +geneva +pretend +dimension +staged +plateau +maya +##une +freestyle +rovers +##ids +tristan +classroom +prospect +##hus +honestly +diploma +lied +thermal +auxiliary +feast +unlikely +iata +morocco +pounding +treasury +lithuania +considerably +1841 +dish +1812 +geological +matching +stumbled +destroying +marched +brien +advances +nicole +settling +measuring +directing +##mie +tuesday +bassist +capabilities +stunned +fraud +torpedo +##phone +anton +wisdom +surveillance +ruined +##ulate +lawsuit +healthcare +theorem +halls +trend +aka +horizontal +dozens +acquire +lasting +swim +hawk +gorgeous +fees +vicinity +decrease +adoption +tactics +##ography +pakistani +##ole +draws +##hall +willie +burke +heath +algorithm +integral +powder +elliott +brigadier +jackie +tate +varieties +darker +##cho +lately +cigarette +specimens +adds +##ensis +##inger +exploded +finalist +murders +wilderness +arguments +nicknamed +acceptance +onwards +manufacture +robertson +jets +tampa +enterprises +loudly +composers +nominations +1838 +malta +inquiry +automobile +hosting +viii +rays +tilted +grief +museums +strategies +furious +euro +equality +cohen +poison +surrey +wireless +governed +ridiculous +moses +##esh +vanished +barnes +attract +morrison +istanbul +##iness +absent +rotation +petition +janet +##logical +satisfaction +custody +deliberately +observatory +comedian +surfaces +pinyin +novelist +strictly +canterbury +oslo +monks +embrace +jealous +photograph +continent +dorothy +marina +excess +holden +allegations +explaining +stack +avoiding +lance +storyline +majesty +poorly +spike +bradford +raven +travis +classics +proven +voltage +pillow +fists +butt +1842 +interpreted +1839 +gage +telegraph +lens +promising +expelled +casual +collector +zones +silly +nintendo +##kh +downstairs +chef +suspicious +afl +flies +vacant +uganda +pregnancy +condemned +lutheran +estimates +cheap +decree +saxon +proximity +stripped +idiot +deposits +contrary +presenter +magnus +glacier +offense +edwin +##ori +upright +##long +bolt +##ois +toss +geographical +##izes +environments +delicate +marking +abstract +xavier +nails +windsor +plantation +occurring +equity +saskatchewan +fears +drifted +sequences +vegetation +revolt +##stic +1843 +sooner +fusion +opposing +nato +skating +1836 +secretly +ruin +lease +flora +anxiety +##ological +##mia +bout +taxi +emmy +frost +rainbow +compounds +foundations +rainfall +assassination +nightmare +dominican +achievements +deserve +orlando +intact +armenia +##nte +calgary +valentine +marion +proclaimed +theodore +bells +courtyard +thigh +gonzalez +console +troop +minimal +everyday +supporter +terrorism +buck +openly +presbyterian +activists +carpet +##iers +rubbing +uprising +cute +conceived +legally +##cht +millennium +cello +velocity +rescued +cardiff +1835 +rex +concentrate +senators +beard +rendered +glowing +battalions +scouts +competitors +sculptor +catalogue +arctic +ion +raja +bicycle +glancing +lawn +##woman +gentleman +lighthouse +publish +predicted +calculated +variants +##gne +strain +winston +deceased +touchdowns +brady +caleb +sinking +echoed +crush +hon +blessed +protagonist +hayes +endangered +magnitude +editors +##tine +estimate +responsibilities +##mel +backup +laying +consumed +sealed +zurich +lovers +frustrated +##eau +ahmed +kicking +treasurer +1832 +biblical +refuse +terrified +pump +agrees +genuine +imprisonment +refuses +plymouth +lou +##nen +tara +trembling +antarctic +ton +learns +##tas +crap +crucial +faction +atop +##borough +wrap +lancaster +odds +hopkins +erik +lyon +##eon +bros +snap +locality +empress +crowned +cal +acclaimed +chuckled +clara +sends +mild +towel +wishing +assuming +interviewed +##bal +interactions +eden +cups +helena +indie +beck +##fire +batteries +filipino +wizard +parted +traces +##born +rows +idol +albany +delegates +##ees +##sar +discussions +notre +instructed +belgrade +highways +suggestion +lauren +possess +orientation +alexandria +abdul +beats +salary +reunion +ludwig +alright +wagner +intimate +pockets +slovenia +hugged +brighton +merchants +cruel +stole +trek +slopes +repairs +enrollment +politically +underlying +promotional +counting +boeing +isabella +naming +keen +bacteria +listing +separately +belfast +ussr +lithuanian +anybody +ribs +sphere +martinez +cock +embarrassed +proposals +fragments +nationals +##wski +premises +fin +alpine +matched +freely +bounded +jace +sleeve +pier +populated +evident +##like +frances +flooded +##dle +frightened +pour +trainer +framed +visitor +challenging +pig +wickets +##fold +infected +##pes +arose +reward +ecuador +oblast +vale +shuttle +##usa +bach +rankings +forbidden +cornwall +accordance +salem +consumers +bruno +fantastic +toes +machinery +resolved +julius +remembering +propaganda +iceland +bombardment +tide +contacts +wives +##rah +concerto +macdonald +albania +implement +daisy +tapped +sudan +helmet +mistress +crop +sunk +finest +##craft +hostile +boxer +fr +paths +adjusted +habit +ballot +supervision +soprano +bullets +wicked +sunset +regiments +disappear +lamp +performs +##gia +rabbit +digging +incidents +entries +##cion +dishes +introducing +##ati +##fied +freshman +slot +jill +tackles +baroque +backs +##iest +lone +sponsor +destiny +altogether +convert +##aro +consensus +shapes +demonstration +basically +feminist +auction +artifacts +##bing +strongest +halifax +allmusic +mighty +smallest +precise +alexandra +viola +##los +##ille +manuscripts +##illo +dancers +ari +managers +monuments +blades +barracks +springfield +maiden +consolidated +electron +berry +airing +wheat +nobel +inclusion +blair +payments +geography +bee +eleanor +react +##hurst +afc +manitoba +lineup +fitness +recreational +investments +airborne +disappointment +##dis +edmonton +viewing +renovation +infant +bankruptcy +roses +aftermath +pavilion +carpenter +withdrawal +ladder +discussing +popped +reliable +agreements +rochester +##abad +curves +bombers +rao +reverend +decreased +choosing +stiff +consulting +naples +crawford +tracy +ribbon +cops +crushed +deciding +unified +teenager +accepting +flagship +poles +sanchez +inspection +revived +skilled +induced +exchanged +flee +locals +tragedy +swallow +hanna +demonstrate +##ela +salvador +flown +contestants +civilization +##ines +wanna +rhodes +fletcher +hector +knocking +considers +nash +mechanisms +sensed +mentally +walt +unclear +##eus +renovated +madame +crews +governmental +undertaken +monkey +##ben +##ato +fatal +armored +copa +caves +governance +grasp +perception +certification +froze +damp +tugged +wyoming +##rg +##ero +newman +nerves +curiosity +graph +##ami +withdraw +tunnels +dull +meredith +moss +exhibits +neighbors +communicate +accuracy +explored +raiders +republicans +secular +kat +superman +penny +criticised +freed +conviction +ham +likewise +delegation +gotta +doll +promises +technological +myth +nationality +resolve +convent +sharon +dig +sip +coordinator +entrepreneur +fold +##dine +capability +councillor +synonym +blown +swan +cursed +1815 +jonas +haired +sofa +canvas +keeper +rivalry +##hart +rapper +speedway +swords +postal +maxwell +estonia +potter +recurring +errors +##oni +cognitive +1834 +claws +nadu +roberto +bce +wrestler +ellie +infinite +ink +##tia +presumably +finite +staircase +noel +patricia +nacional +chill +eternal +tu +preventing +prussia +fossil +limbs +##logist +ernst +frog +perez +rene +prussian +##ios +molecules +regulatory +answering +opinions +sworn +lengths +supposedly +hypothesis +upward +habitats +seating +ancestors +drank +yield +synthesis +researcher +modest +##var +mothers +peered +voluntary +homeland +acclaim +##igan +static +valve +luxembourg +alto +carroll +receptor +norton +ambulance +##tian +johnston +catholics +depicting +jointly +elephant +gloria +mentor +badge +ahmad +distinguish +remarked +councils +precisely +allison +advancing +detection +crowded +cooperative +ankle +mercedes +dagger +surrendered +pollution +commit +subway +jeffrey +lesson +sculptures +provider +##fication +membrane +timothy +rectangular +fiscal +heating +teammate +basket +particle +anonymous +deployment +missiles +courthouse +proportion +shoe +sec +complaints +forbes +blacks +abandon +remind +sizes +overwhelming +autobiography +natalie +##awa +risks +contestant +countryside +babies +scorer +invaded +enclosed +proceed +hurling +disorders +##cu +reflecting +continuously +cruiser +graduates +freeway +investigated +ore +deserved +maid +blocking +phillip +jorge +shakes +dove +mann +variables +lacked +burden +accompanying +que +consistently +organizing +provisional +complained +endless +tubes +juice +georges +krishna +mick +thriller +laps +arcade +sage +snail +shannon +laurence +seoul +vacation +presenting +hire +churchill +surprisingly +prohibited +savannah +technically +##oli +##lessly +testimony +suited +speeds +toys +romans +flowering +measurement +talented +kay +settings +charleston +expectations +shattered +achieving +triumph +ceremonies +portsmouth +lanes +mandatory +loser +stretching +cologne +realizes +seventy +cornell +careers +webb +##ulating +americas +budapest +ava +suspicion +yo +conrad +sterling +jessie +rector +##az +1831 +transform +organize +loans +christine +volcanic +warrant +slender +summers +subfamily +newer +danced +dynamics +rhine +proceeds +heinrich +gastropod +commands +sings +facilitate +easter +positioned +responses +expense +fruits +yanked +imported +25th +velvet +vic +primitive +tribune +baldwin +neighbourhood +donna +rip +hay +##uro +1814 +espn +welcomed +##aria +qualifier +glare +highland +timing +##cted +shells +eased +geometry +louder +exciting +slovakia +##iz +savings +prairie +marching +rafael +tonnes +##lled +curtain +preceding +shy +heal +greene +worthy +##pot +detachment +bury +sherman +##eck +reinforced +seeks +bottles +contracted +duchess +outfit +walsh +mickey +geoffrey +archer +squeeze +dawson +eliminate +invention +##enberg +neal +##eth +stance +dealer +coral +maple +retire +simplified +1833 +hid +watts +backwards +jules +##oke +genesis +frames +rebounds +burma +woodland +moist +santos +whispers +drained +subspecies +streaming +ulster +burnt +correspondence +maternal +gerard +denis +stealing +genius +duchy +##oria +inaugurated +momentum +suits +placement +sovereign +clause +thames +##hara +confederation +reservation +sketch +yankees +lets +rotten +charm +hal +verses +commercially +dot +salon +citation +adopt +winnipeg +mist +allocated +cairo +jenkins +interference +objectives +##wind +1820 +portfolio +armoured +sectors +initiatives +integrity +exercises +robe +tap +gazed +##tones +distracted +rulers +favorable +jerome +tended +cart +factories +##eri +diplomat +valued +gravel +charitable +calvin +exploring +shepherd +terrace +pupil +##ural +reflects +##rch +governors +shelf +depths +##nberg +trailed +crest +tackle +##nian +hatred +##kai +clare +makers +ethiopia +longtime +detected +embedded +lacking +slapped +rely +thomson +anticipation +morton +successive +agnes +screenwriter +straightened +philippe +playwright +haunted +licence +iris +intentions +sutton +logical +correctly +##weight +branded +licked +tipped +silva +ricky +narrator +requests +##ents +greeted +supernatural +cow +##wald +lung +refusing +employer +strait +gaelic +liner +##piece +zoe +sabha +##mba +driveway +harvest +prints +bates +reluctantly +threshold +algebra +ira +wherever +coupled +assumption +picks +designers +raids +gentlemen +roller +blowing +leipzig +locks +screw +dressing +strand +##lings +scar +dwarf +depicts +##nu +nods +differ +boris +##eur +yuan +flip +##gie +mob +invested +questioning +applying +shout +##sel +gameplay +blamed +illustrations +bothered +weakness +rehabilitation +##zes +envelope +rumors +miners +leicester +subtle +kerry +ferguson +premiership +bengali +prof +catches +remnants +dana +##rily +shouting +presidents +baltic +ought +ghosts +dances +sailors +shirley +fancy +dominic +##bie +madonna +##rick +bark +buttons +gymnasium +ashes +liver +toby +oath +providence +doyle +evangelical +nixon +cement +carnegie +embarked +hatch +surroundings +guarantee +needing +pirate +essence +filter +crane +hammond +projected +immune +percy +twelfth +regent +doctoral +damon +mikhail +##ichi +critically +elect +realised +abortion +acute +screening +mythology +steadily +frown +nottingham +kirk +wa +minneapolis +##rra +module +algeria +nautical +encounters +surprising +statues +availability +shirts +pie +alma +brows +munster +mack +soup +crater +tornado +sanskrit +cedar +explosive +bordered +dixon +planets +stamp +exam +happily +##bble +carriers +kidnapped +accommodation +emigrated +##met +knockout +correspondent +violation +profits +peaks +lang +specimen +agenda +ancestry +pottery +spelling +equations +obtaining +ki +linking +1825 +debris +asylum +buddhism +##ants +gazette +dental +eligibility +fathers +averaged +zimbabwe +francesco +coloured +hissed +translator +lynch +mandate +humanities +mackenzie +uniforms +##iana +asset +fitting +samantha +genera +rim +beloved +shark +riot +entities +expressions +indo +carmen +slipping +owing +abbot +neighbor +sidney +rats +recommendations +encouraging +squadrons +anticipated +commanders +conquered +donations +diagnosed +divide +##iva +guessed +decoration +vernon +auditorium +revelation +conversations +##kers +##power +herzegovina +dash +alike +protested +lateral +herman +accredited +##gent +freeman +mel +fiji +crow +crimson +##rine +livestock +##pped +humanitarian +bored +oz +whip +##lene +##ali +legitimate +alter +grinning +spelled +anxious +oriental +wesley +##nin +##hole +carnival +controller +detect +##ssa +bowed +educator +kosovo +macedonia +##sin +occupy +mastering +stephanie +janeiro +para +unaware +nurses +noon +hopefully +ranger +combine +sociology +polar +rica +##eer +neill +##sman +holocaust +doubled +lust +1828 +decent +cooling +unveiled +1829 +nsw +homer +chapman +meyer +dive +mae +reagan +expertise +##gled +darwin +brooke +sided +prosecution +investigating +comprised +petroleum +genres +reluctant +differently +trilogy +johns +vegetables +corpse +highlighted +lounge +pension +unsuccessfully +elegant +aided +ivory +beatles +amelia +cain +dubai +immigrant +babe +underwater +combining +mumbled +atlas +horns +accessed +ballad +physicians +homeless +gestured +rpm +freak +louisville +corporations +patriots +prizes +rational +warn +modes +decorative +overnight +din +troubled +phantom +monarch +sheer +##dorf +generals +guidelines +organs +addresses +enhance +curling +parishes +cord +##kie +caesar +deutsche +bavaria +coleman +cyclone +##eria +bacon +petty +##yama +##old +hampton +diagnosis +1824 +throws +complexity +rita +disputed +pablo +marketed +trafficking +##ulus +examine +plague +formats +vault +faithful +##bourne +webster +highlights +##ient +phones +vacuum +sandwich +modeling +##gated +bolivia +clergy +qualities +isabel +##nas +##ars +wears +screams +reunited +annoyed +bra +##ancy +##rate +differential +transmitter +tattoo +container +poker +##och +excessive +resides +cowboys +##tum +augustus +trash +providers +statute +retreated +balcony +reversed +void +storey +preceded +masses +leap +laughs +neighborhoods +wards +schemes +falcon +santo +battlefield +ronnie +lesbian +venus +##dian +beg +sandstone +daylight +punched +gwen +analog +stroked +wwe +acceptable +measurements +toxic +##kel +adequate +surgical +economist +parameters +varsity +##sberg +quantity +##chy +##rton +countess +generating +precision +diamonds +expressway +##ı +1821 +uruguay +talents +galleries +expenses +scanned +colleague +outlets +ryder +lucien +##ila +paramount +syracuse +dim +fangs +gown +sweep +##sie +missionaries +websites +sentences +adviser +val +trademark +spells +##plane +patience +starter +slim +##borg +toe +incredibly +shoots +elliot +nobility +##wyn +cowboy +endorsed +gardner +tendency +persuaded +organisms +emissions +kazakhstan +amused +boring +chips +themed +##hand +constantinople +chasing +systematic +guatemala +borrowed +erin +carey +##hard +highlands +struggles +1810 +##ifying +##ced +exceptions +develops +enlarged +kindergarten +castro +##rina +leigh +zombie +juvenile +##most +consul +sailor +hyde +clarence +intensive +pinned +nasty +useless +jung +clayton +stuffed +exceptional +ix +apostolic +transactions +exempt +swinging +cove +religions +shields +dairy +bypass +pursuing +joyce +bombay +chassis +southampton +chat +interact +redesignated +##pen +nascar +pray +salmon +rigid +regained +malaysian +grim +publicity +constituted +capturing +toilet +delegate +purely +tray +drift +loosely +striker +weakened +trinidad +mitch +itv +defines +transmitted +scarlet +nodding +fitzgerald +narrowly +tooth +standings +virtue +##wara +##cting +chateau +gloves +lid +hurting +conservatory +##pel +sinclair +reopened +sympathy +nigerian +strode +advocated +optional +chronic +discharge +suck +compatible +laurel +stella +fails +wage +dodge +informal +sorts +levi +buddha +villagers +chronicles +heavier +summoned +gateway +eleventh +jewelry +translations +accordingly +seas +##ency +fiber +pyramid +cubic +dragging +##ista +caring +##ops +contacted +lunar +lisbon +patted +1826 +sacramento +theft +madagascar +subtropical +disputes +holidays +piper +willow +mare +cane +newfoundland +benny +companions +dong +raj +observe +roar +charming +plaque +tibetan +fossils +enacted +manning +bubble +tanzania +##eda +##hir +funk +swamp +deputies +cloak +ufc +scenario +par +scratch +metals +anthem +guru +engaging +specially +##boat +dialects +nineteen +cecil +duet +disability +unofficial +##lies +defunct +moonlight +drainage +surname +puzzle +switching +conservatives +mammals +knox +broadcaster +sidewalk +cope +##ried +benson +princes +peterson +##sal +bedford +sharks +eli +wreck +alberto +gasp +archaeology +lgbt +teaches +securities +madness +compromise +waving +coordination +davidson +visions +leased +possibilities +eighty +fernandez +enthusiasm +assassin +sponsorship +reviewer +kingdoms +estonian +laboratories +##fy +##nal +applies +verb +celebrations +##zzo +rowing +lightweight +sadness +submit +balanced +dude +explicitly +metric +magnificent +mound +brett +mohammad +mistakes +irregular +sanders +betrayed +shipped +surge +##enburg +reporters +termed +georg +pity +verbal +bulls +abbreviated +enabling +appealed +sicily +sting +heel +sweetheart +bart +spacecraft +brutal +monarchy +aberdeen +cameo +diane +survivor +clyde +##aries +complaint +##makers +clarinet +delicious +chilean +karnataka +coordinates +1818 +panties +##rst +pretending +dramatically +kiev +tends +distances +catalog +launching +instances +telecommunications +portable +lindsay +vatican +##eim +angles +aliens +marker +stint +screens +bolton +##rne +judy +wool +benedict +plasma +europa +imaging +filmmaker +swiftly +contributor +opted +stamps +apologize +financing +butter +gideon +sophisticated +alignment +avery +chemicals +yearly +speculation +prominence +professionally +immortal +institutional +inception +wrists +identifying +tribunal +derives +gains +papal +preference +linguistic +vince +operative +brewery +##ont +unemployment +boyd +##ured +##outs +albeit +prophet +1813 +##rad +quarterly +asteroid +cleaned +radius +temper +##llen +telugu +jerk +viscount +##ote +glimpse +##aya +yacht +hawaiian +baden +laptop +readily +##gu +monetary +offshore +scots +watches +##yang +##arian +upgrade +needle +lea +encyclopedia +flank +fingertips +delight +teachings +confirm +roth +beaches +midway +winters +##iah +teasing +daytime +beverly +gambling +##backs +regulated +clement +hermann +tricks +knot +##shing +##uring +##vre +detached +ecological +owed +specialty +byron +inventor +bats +stays +screened +unesco +midland +trim +affection +##ander +jess +thoroughly +feedback +chennai +strained +heartbeat +wrapping +overtime +pleaded +##sworth +leisure +oclc +##tate +##ele +feathers +angelo +thirds +nuts +surveys +clever +gill +commentator +##dos +darren +rides +gibraltar +dissolution +dedication +shin +meals +saddle +elvis +reds +chaired +taller +appreciation +functioning +niece +favored +advocacy +robbie +criminals +suffolk +yugoslav +passport +constable +congressman +hastings +##rov +consecrated +sparks +ecclesiastical +confined +##ovich +muller +floyd +nora +1822 +paved +1827 +cumberland +ned +saga +spiral +appreciated +collaborative +treating +similarities +feminine +finishes +##ib +jade +import +##hot +champagne +mice +securing +celebrities +helsinki +attributes +##gos +cousins +phases +ache +lucia +gandhi +submission +vicar +spear +shine +tasmania +biting +detention +constitute +tighter +seasonal +##gus +terrestrial +matthews +effectiveness +parody +philharmonic +##onic +1816 +strangers +encoded +consortium +guaranteed +regards +shifts +tortured +collision +supervisor +inform +broader +insight +theaters +armour +emeritus +blink +incorporates +mapping +handball +flexible +##nta +substantially +generous +thief +carr +loses +1793 +prose +ucla +romeo +generic +metallic +realization +damages +commissioners +zach +default +helicopters +lengthy +stems +partnered +spectators +rogue +indication +penalties +teresa +1801 +sen +##tric +dalton +##wich +irving +photographic +##vey +deaf +peters +excluded +unsure +##vable +patterson +crawled +##zio +resided +whipped +latvia +slower +ecole +pipes +employers +maharashtra +comparable +textile +pageant +##gel +alphabet +binary +irrigation +chartered +choked +antoine +offs +waking +supplement +quantities +demolition +regain +locate +urdu +folks +scary +andreas +whites +##ava +classrooms +mw +aesthetic +publishes +valleys +guides +cubs +johannes +bryant +conventions +affecting +##itt +drain +awesome +isolation +prosecutor +ambitious +apology +captive +downs +atmospheric +lorenzo +aisle +beef +foul +##onia +kidding +composite +disturbed +illusion +natives +##ffer +rockets +riverside +wartime +painters +adolf +melted +uncertainty +simulation +hawks +progressed +meantime +builder +spray +breach +unhappy +regina +russians +determining +tram +1806 +##quin +aging +1823 +garion +rented +mister +diaz +terminated +clip +1817 +depend +nervously +disco +owe +defenders +shiva +notorious +disbelief +shiny +worcester +##gation +##yr +trailing +undertook +islander +belarus +limitations +watershed +fuller +overlooking +utilized +raphael +1819 +synthetic +breakdown +klein +##nate +moaned +memoir +lamb +practicing +##erly +cellular +arrows +exotic +witches +charted +rey +hut +hierarchy +subdivision +freshwater +giuseppe +aloud +reyes +qatar +marty +sideways +utterly +sexually +jude +prayers +mccarthy +softball +blend +damien +##gging +##metric +wholly +erupted +lebanese +negro +revenues +tasted +comparative +teamed +transaction +labeled +maori +sovereignty +parkway +trauma +gran +malay +advancement +descendant +buzz +salvation +inventory +symbolic +##making +antarctica +mps +##bro +mohammed +myanmar +holt +submarines +tones +##lman +locker +patriarch +bangkok +emerson +remarks +predators +kin +afghan +confession +norwich +rental +emerge +advantages +##zel +rca +##hold +shortened +storms +aidan +##matic +autonomy +compliance +##quet +dudley +##osis +1803 +motto +documentation +summary +professors +spectacular +christina +archdiocese +flashing +innocence +remake +##dell +psychic +reef +scare +employ +sticks +meg +gus +leans +accompany +bergen +tomas +doom +wages +pools +##bes +breasts +scholarly +alison +outline +brittany +breakthrough +willis +realistic +##cut +##boro +competitor +##stan +pike +picnic +designing +commercials +washing +villain +skiing +costumes +auburn +halted +executives +logistics +cycles +vowel +applicable +barrett +exclaimed +eurovision +eternity +ramon +##umi +modifications +sweeping +disgust +torch +aviv +ensuring +rude +dusty +sonic +donovan +outskirts +cu +pathway +##band +##gun +disciplines +acids +cadet +paired +sketches +##sive +marriages +folding +peers +slovak +implies +admired +##beck +1880s +leopold +instinct +attained +weston +megan +horace +##ination +dorsal +ingredients +evolutionary +complications +deity +lethal +brushing +levy +deserted +institutes +posthumously +delivering +telescope +coronation +motivated +rapids +luc +flicked +pays +volcano +tanner +weighed +##nica +crowds +frankie +gifted +addressing +granddaughter +winding +##rna +constantine +gomez +##front +landscapes +rudolf +anthropology +slate +werewolf +astronomy +circa +rouge +dreaming +sack +knelt +drowned +naomi +prolific +tracked +freezing +herb +agony +randall +twisting +wendy +deposit +touches +vein +wheeler +##bbled +batted +retaining +tire +presently +compare +specification +daemon +nigel +##grave +merry +recommendation +czechoslovakia +sandra +roma +##sts +lambert +inheritance +sheikh +winchester +cries +examining +##yle +comeback +cuisine +nave +##iv +retrieve +tomatoes +barker +polished +defining +irene +lantern +personalities +begging +tract +swore +1809 +##gic +omaha +brotherhood +haiti +##ots +exeter +##ete +##zia +steele +dumb +pearson +surveyed +elisabeth +trends +fritz +bugs +fraction +calmly +viking +##birds +tug +inserted +unusually +##ield +confronted +distress +crashing +brent +turks +resign +##olo +cambodia +gabe +sauce +##kal +evelyn +extant +clusters +quarry +teenagers +luna +##lers +##ister +affiliation +drill +##ashi +panthers +scenic +libya +anita +strengthen +inscriptions +##cated +lace +sued +judith +riots +##uted +mint +##eta +preparations +midst +dub +challenger +##vich +mock +displaced +wicket +breaths +enables +schmidt +analyst +##lum +highlight +automotive +axe +josef +newark +sufficiently +resembles +50th +##pal +flushed +mum +traits +##ante +commodore +incomplete +warming +titular +ceremonial +ethical +celebrating +eighteenth +cao +lima +medalist +mobility +strips +snakes +miniature +zagreb +barton +escapes +umbrella +automated +doubted +differs +cooled +georgetown +dresden +cooked +fade +wyatt +jacobs +carlton +abundant +stereo +madras +inning +spur +malayalam +begged +osaka +groan +escaping +charging +dose +##aj +bud +papa +communists +advocates +edged +tri +resemble +peaking +necklace +fried +montenegro +saxony +goose +glances +stuttgart +curator +recruit +grocery +sympathetic +##tting +##fort +lotus +randolph +ancestor +##rand +succeeding +jupiter +1798 +macedonian +##heads +hiking +1808 +handing +fischer +##itive +garbage +##pies +prone +singular +papua +inclined +attractions +italia +pouring +motioned +grandma +garnered +jacksonville +corp +ego +ringing +aluminum +##hausen +ordering +##foot +drawer +traders +synagogue +##kawa +resistant +wandering +fragile +fiona +teased +hardcore +soaked +jubilee +decisive +exposition +mercer +poster +valencia +hale +kuwait +1811 +##ises +##wr +##eed +tavern +gamma +johan +##uer +airways +amino +gil +vocational +domains +torres +generator +folklore +outcomes +##keeper +canberra +shooter +fl +beams +confrontation +##gram +aligned +forestry +pipeline +jax +motorway +conception +decay +coffin +##cott +stalin +1805 +escorted +minded +##nam +sitcom +purchasing +twilight +veronica +additions +passive +tensions +straw +frequencies +1804 +refugee +cultivation +##iate +christie +clary +bulletin +crept +disposal +##rich +##zong +processor +crescent +##rol +emphasized +whale +nazis +aurora +dwelling +hauled +sponsors +toledo +ideology +theatres +tessa +cerambycidae +saves +turtle +cone +suspects +kara +rusty +yelling +greeks +mozart +shades +cocked +participant +shire +spit +freeze +necessity +##cos +inmates +nielsen +councillors +loaned +uncommon +omar +peasants +botanical +offspring +daniels +formations +jokes +1794 +pioneers +sigma +licensing +##sus +wheelchair +polite +1807 +liquor +pratt +trustee +##uta +forewings +balloon +kilometre +camping +explicit +casually +shawn +foolish +teammates +nm +hassan +carrie +judged +satisfy +vanessa +knives +selective +flowed +##lice +stressed +eliza +mathematician +cease +cultivated +##roy +commissions +browns +##ania +destroyers +sheridan +meadow +##rius +minerals +##cial +downstream +clash +gram +memoirs +ventures +baha +seymour +archie +midlands +edith +fare +flynn +invite +canceled +tiles +stabbed +boulder +incorporate +amended +camden +facial +mollusk +unreleased +descriptions +grabs +raises +ramp +shiver +##rose +coined +pioneering +tunes +qing +warwick +tops +melanie +giles +##rous +wandered +##inal +annexed +30th +unnamed +##ished +organizational +airplane +normandy +stoke +whistle +blessing +violations +chased +holders +shotgun +##ctic +reactor +##vik +tires +tearing +shores +fortified +mascot +constituencies +columnist +productive +tibet +##rta +lineage +hooked +tapes +judging +cody +##gger +hansen +kashmir +triggered +##eva +solved +cliffs +##tree +resisted +anatomy +protesters +transparent +implied +##iga +injection +mattress +excluding +##mbo +defenses +helpless +devotion +##elli +growl +liberals +weber +phenomena +atoms +plug +##iff +mortality +apprentice +howe +convincing +swimmer +barber +leone +promptly +sodium +def +nowadays +arise +##oning +gloucester +corrected +dignity +norm +erie +##ders +elders +evacuated +compression +##yar +hartford +backpack +reasoning +accepts +24th +wipe +millimetres +marcel +##oda +dodgers +albion +1790 +overwhelmed +aerospace +oaks +1795 +showcase +acknowledge +recovering +nolan +ashe +hurts +geology +fashioned +disappearance +farewell +swollen +shrug +marquis +wimbledon +rue +1792 +commemorate +reduces +experiencing +inevitable +calcutta +##court +murderer +sticking +fisheries +imagery +bloom +##inus +gustav +hesitation +memorable +viral +beans +accidents +tunisia +antenna +spilled +consort +treatments +aye +perimeter +##gard +donation +hostage +migrated +banker +addiction +apex +lil +trout +##ously +conscience +##nova +rams +sands +genome +passionate +troubles +##lets +amid +##ibility +##ret +higgins +exceed +vikings +##vie +payne +##zan +muscular +defendant +sucking +##wal +ibrahim +fuselage +claudia +vfl +europeans +snails +interval +##garh +preparatory +statewide +tasked +lacrosse +viktor +##lation +angola +##hra +flint +implications +employs +teens +patrons +stall +weekends +barriers +scrambled +nucleus +tehran +jenna +parsons +lifelong +robots +displacement +##bles +precipitation +knuckles +clutched +1802 +marrying +ecology +marx +accusations +declare +scars +kolkata +mat +meadows +bermuda +skeleton +finalists +vintage +crawl +coordinate +affects +subjected +orchestral +mistaken +mirrors +dipped +relied +arches +candle +##nick +incorporating +wildly +fond +basilica +owl +fringe +rituals +whispering +stirred +feud +tertiary +slick +goat +honorable +whereby +ricardo +stripes +parachute +adjoining +submerged +synthesizer +##gren +intend +positively +ninety +phi +beaver +partition +fellows +alexis +prohibition +carlisle +bizarre +fraternity +doubts +icy +aquatic +sneak +sonny +combines +airports +crude +supervised +spatial +merge +alfonso +##bic +corrupt +scan +undergo +##ams +disabilities +colombian +comparing +dolphins +perkins +reprinted +unanimous +bounced +hairs +underworld +midwest +semester +bucket +paperback +miniseries +coventry +demise +##leigh +demonstrations +sensor +rotating +yan +##hler +arrange +soils +##idge +hyderabad +labs +brakes +grandchildren +##nde +negotiated +rover +ferrari +continuation +directorate +augusta +stevenson +counterpart +gore +##rda +nursery +rican +ave +collectively +broadly +pastoral +repertoire +asserted +discovering +nordic +styled +fiba +cunningham +harley +middlesex +survives +tumor +tempo +zack +aiming +lok +urgent +##nto +devils +contractor +turin +##wl +bliss +repaired +simmons +moan +astronomical +negotiate +lyric +1890s +lara +bred +clad +angus +pbs +engineered +posed +hernandez +possessions +elbows +psychiatric +strokes +confluence +electorate +lifts +campuses +lava +alps +##ution +##date +physicist +woody +##ographic +##itis +juliet +reformation +sparhawk +complement +suppressed +jewel +##½ +floated +##kas +continuity +sadly +##ische +inability +melting +scanning +paula +flour +judaism +safer +vague +solving +curb +##stown +financially +gable +bees +expired +miserable +cassidy +dominion +1789 +cupped +robbery +facto +amos +warden +resume +tallest +marvin +pounded +declaring +gasoline +##aux +darkened +sophomore +##mere +erection +gossip +televised +risen +dial +##eu +pillars +passages +profound +arabian +ashton +silicon +nail +##lated +##hardt +fleming +firearms +ducked +circuits +blows +waterloo +titans +fireplace +cheshire +financed +activation +algorithms +constituent +catcher +cherokee +partnerships +sexuality +platoon +tragic +vivian +guarded +whiskey +meditation +poetic +##nga +porto +listeners +dominance +kendra +mona +chandler +factions +22nd +salisbury +attitudes +derivative +##ido +##haus +intake +paced +javier +illustrator +barrels +bias +cockpit +burnett +dreamed +ensuing +receptors +someday +hawkins +mattered +##lal +slavic +1799 +jesuit +cameroon +wasted +wax +lowering +victorious +freaking +outright +hancock +librarian +sensing +bald +calcium +myers +tablet +announcing +barack +shipyard +pharmaceutical +greenwich +flush +medley +patches +wolfgang +speeches +acquiring +exams +nikolai +hayden +kannada +reilly +waitress +abdomen +devastated +capped +pseudonym +pharmacy +fulfill +paraguay +1796 +clicked +##trom +archipelago +syndicated +##hman +lumber +orgasm +rejection +clifford +lorraine +advent +mafia +rodney +brock +##used +##elia +cassette +chamberlain +despair +mongolia +sensors +developmental +upstream +##alis +spanning +trombone +basque +seeded +interred +renewable +rhys +leapt +revision +molecule +##ages +chord +vicious +nord +shivered +23rd +arlington +debts +corpus +sunrise +bays +blackburn +centimetres +##uded +shuddered +strangely +gripping +cartoons +isabelle +orbital +##ppa +seals +proving +refusal +strengthened +bust +assisting +baghdad +batsman +portrayal +mara +pushes +spears +og +##cock +reside +nathaniel +brennan +1776 +confirmation +caucus +##worthy +markings +yemen +nobles +ku +lazy +viewer +catalan +encompasses +sawyer +##fall +sparked +substances +patents +braves +arranger +evacuation +sergio +persuade +dover +tolerance +penguin +cum +jockey +insufficient +townships +occupying +declining +plural +processed +projection +puppet +flanders +introduces +liability +##yon +gymnastics +antwerp +hobart +candles +jeep +wes +observers +chaplain +bundle +glorious +##hine +hazel +flung +sol +excavations +dumped +stares +bangalore +triangular +icelandic +intervals +expressing +turbine +##vers +songwriting +crafts +##igo +jasmine +ditch +rite +entertaining +comply +sorrow +wrestlers +basel +emirates +marian +rivera +helpful +##some +caution +downward +networking +##atory +##tered +darted +genocide +emergence +replies +specializing +spokesman +convenient +unlocked +fading +augustine +concentrations +resemblance +elijah +investigator +andhra +##uda +promotes +##rrell +fleeing +simone +announcer +lydia +weaver +residency +modification +##fest +stretches +alternatively +nat +lowe +lacks +##ented +pam +tile +concealed +inferior +abdullah +residences +tissues +vengeance +##ided +moisture +peculiar +groove +bologna +jennings +ninja +oversaw +zombies +pumping +batch +livingston +emerald +installations +1797 +peel +nitrogen +rama +##fying +schooling +strands +responding +werner +lime +casa +accurately +targeting +##rod +underway +##uru +hemisphere +lester +##yard +occupies +griffith +angrily +reorganized +##owing +courtney +deposited +estadio +##ifies +dunn +exiled +##ying +checks +##combe +successes +unexpectedly +blu +assessed +##flower +observing +sacked +spiders +kn +nodes +prosperity +audrey +divisional +broncos +tangled +adjust +feeds +erosion +paolo +surf +directory +snatched +humid +admiralty +screwed +reddish +##nese +modules +trench +lamps +bind +leah +bucks +competes +##nz +transcription +isles +violently +clutching +pga +cyclist +inflation +flats +ragged +unnecessary +##hian +stubborn +coordinated +harriet +baba +disqualified +insect +wolfe +##fies +reinforcements +rocked +duel +winked +embraced +bricks +##raj +hiatus +defeats +pending +brightly +jealousy +##xton +##uki +lena +colorful +##dley +stein +kidney +##shu +underwear +wanderers +##haw +##icus +guardians +m³ +roared +habits +##wise +permits +uranium +punished +disguise +bundesliga +elise +dundee +erotic +partisan +collectors +float +individually +rendering +behavioral +bucharest +ser +hare +valerie +corporal +nutrition +proportional +immense +##kis +pavement +##zie +##eld +sutherland +crouched +1775 +suzuki +trades +endurance +operas +crosby +prayed +priory +rory +socially +gujarat +walton +cube +pasha +privilege +lennon +floods +thorne +waterfall +nipple +scouting +approve +##lov +minorities +voter +dwight +extensions +assure +ballroom +slap +dripping +privileges +rejoined +confessed +demonstrating +patriotic +yell +investor +##uth +pagan +slumped +squares +confront +bert +embarrassment +aston +urging +sweater +starr +yuri +brains +williamson +commuter +mortar +structured +selfish +exports +##jon +cds +##him +unfinished +##rre +mortgage +destinations +##nagar +canoe +solitary +buchanan +delays +magistrate +fk +##pling +motivation +##lier +##vier +recruiting +assess +##mouth +malik +antique +1791 +pius +rahman +reich +tub +zhou +smashed +airs +galway +xii +conditioning +honduras +discharged +dexter +##pf +lionel +debates +lemon +volunteered +dioxide +procession +devi +sic +tremendous +advertisements +colts +transferring +verdict +hanover +decommissioned +utter +relate +pac +racism +beacon +limp +similarity +terra +occurrence +ant +becky +capt +updates +armament +richie +pal +##graph +halloween +mayo +##ssen +##bone +cara +serena +fcc +dolls +obligations +##dling +violated +lafayette +jakarta +exploitation +infamous +iconic +##lah +##park +moody +reginald +dread +spill +crystals +olivier +modeled +bluff +equilibrium +separating +notices +ordnance +extinction +onset +cosmic +attachment +sammy +expose +privy +anchored +##bil +abbott +admits +bending +baritone +emmanuel +policeman +vaughan +winged +climax +dresses +denny +polytechnic +mohamed +burmese +authentic +nikki +genetics +grandparents +homestead +gaza +postponed +metacritic +una +##sby +unstable +dissertation +##cian +curls +obscure +uncovered +bronx +praying +disappearing +##hoe +prehistoric +coke +turret +mutations +nonprofit +pits +monaco +##usion +prominently +dispatched +podium +##mir +uci +##uation +fortifications +birthplace +kendall +##lby +##oll +preacher +rack +goodman +persistent +##ott +countless +jaime +recorder +lexington +persecution +jumps +renewal +wagons +crushing +##holder +decorations +##lake +abundance +wrath +laundry +£1 +garde +jeanne +beetles +peasant +splitting +caste +sergei +##rer +##ema +scripts +##ively +rub +satellites +##vor +inscribed +verlag +scrapped +gale +packages +chick +potato +slogan +kathleen +arabs +##culture +counterparts +reminiscent +choral +##tead +rand +retains +bushes +dane +accomplish +courtesy +closes +##oth +slaughter +hague +krakow +lawson +tailed +elias +ginger +##ttes +canopy +betrayal +rebuilding +turf +##hof +frowning +allegiance +brigades +kicks +rebuild +polls +alias +nationalism +rowan +audition +bowie +fortunately +recognizes +harp +dillon +horrified +##oro +renault +ropes +presumed +rewarded +infrared +wiping +accelerated +illustration +presses +practitioners +badminton +##iard +detained +##tera +recognizing +relates +misery +##sies +##tly +reproduction +piercing +potatoes +thornton +esther +manners +hbo +##aan +ours +bullshit +ernie +perennial +sensitivity +illuminated +rupert +##iss +rfc +nassau +##dock +staggered +socialism +##haven +appointments +nonsense +prestige +sharma +haul +solidarity +##rata +igor +pedestrian +##uit +baxter +tenants +wires +medication +unlimited +guiding +impacts +diabetes +##rama +sasha +pas +clive +extraction +continually +constraints +##bilities +sonata +hunted +sixteenth +chu +planting +quote +mayer +pretended +spat +ceramic +##cci +curtains +pigs +pitching +##dad +latvian +sore +dayton +##sted +patrols +slice +playground +##nted +shone +stool +apparatus +inadequate +mates +treason +##ija +desires +##liga +##croft +somalia +laurent +mir +grape +obliged +chevrolet +thirteenth +stunning +enthusiastic +##ede +accounted +concludes +currents +basil +##kovic +drought +##rica +mai +##aire +shove +posting +##shed +pilgrimage +humorous +packing +fry +pencil +wines +smells +marilyn +aching +newest +clung +bon +neighbours +sanctioned +##pie +mug +##stock +drowning +hydraulic +##vil +hiring +reminder +lilly +investigators +##ncies +sour +##eous +compulsory +packet +##rion +##graphic +##elle +cannes +##inate +depressed +##rit +heroic +importantly +theresa +##tled +conway +saturn +marginal +rae +##xia +corresponds +royce +pact +jasper +explosives +packaging +aluminium +##ttered +denotes +rhythmic +spans +assignments +hereditary +outlined +originating +sundays +lad +reissued +greeting +beatrice +##dic +pillar +marcos +plots +handbook +alcoholic +judiciary +avant +slides +extract +masculine +blur +##eum +homage +trembled +owens +hymn +trey +signaling +socks +accumulated +reacted +attic +theo +lining +angie +distraction +primera +talbot +creativity +billed +##hey +deacon +eduardo +identifies +proposition +dizzy +gunner +hogan +##yam +##pping +##hol +ja +##chan +jensen +reconstructed +##berger +clearance +darius +##nier +abe +harlem +plea +dei +circled +emotionally +notation +fascist +neville +exceeded +upwards +viable +ducks +workforce +racer +limiting +shri +##lson +possesses +kerr +moths +devastating +laden +disturbing +locking +gal +fearing +accreditation +flavor +aide +1870s +mountainous +##baum +melt +##ures +texture +servers +soda +herd +##nium +erect +puzzled +hum +peggy +examinations +gould +testified +geoff +ren +devised +sacks +##law +denial +posters +grunted +cesar +tutor +gerry +offerings +byrne +falcons +combinations +incoming +pardon +rocking +26th +avengers +flared +mankind +seller +uttar +loch +nadia +stroking +exposing +fertile +ancestral +instituted +##has +noises +prophecy +taxation +eminent +vivid +pol +##bol +dart +indirect +multimedia +notebook +upside +displaying +adrenaline +referenced +geometric +##iving +progression +##ddy +blunt +announce +##far +implementing +##lav +aggression +liaison +cooler +cares +headache +plantations +gorge +dots +impulse +thickness +ashamed +averaging +kathy +obligation +precursor +fowler +symmetry +thee +hears +##rai +undergoing +butcher +bowler +##lip +cigarettes +subscription +goodness +##ically +browne +##hos +kyoto +donor +##erty +damaging +friction +drifting +expeditions +hardened +prostitution +fauna +blankets +claw +tossing +snarled +butterflies +recruits +investigative +coated +healed +communal +hai +xiii +academics +boone +psychologist +restless +lahore +stephens +brendan +foreigners +printer +ached +explode +27th +deed +scratched +dared +##pole +cardiac +1780 +okinawa +proto +commando +compelled +oddly +electrons +replica +thanksgiving +##rist +sheila +deliberate +stafford +tidal +representations +hercules +ou +##path +##iated +kidnapping +lenses +##tling +deficit +samoa +mouths +consuming +computational +maze +granting +smirk +razor +fixture +ideals +inviting +aiden +nominal +issuing +julio +pitt +ramsey +docks +##oss +exhaust +##owed +bavarian +draped +anterior +mating +ethiopian +explores +noticing +##nton +discarded +convenience +hoffman +endowment +beasts +cartridge +mormon +paternal +probe +sleeves +interfere +lump +deadline +jenks +bulldogs +scrap +alternating +justified +reproductive +nam +seize +descending +secretariat +kirby +grouped +smash +panther +sedan +tapping +lola +cheer +germanic +unfortunate +##eter +unrelated +##fan +subordinate +##sdale +suzanne +advertisement +##ility +horsepower +##lda +cautiously +discourse +luigi +##mans +##fields +noun +prevalent +mao +schneider +everett +surround +governorate +kira +##avia +westward +##take +misty +rails +sustainability +unused +##rating +packs +toast +unwilling +regulate +thy +suffrage +nile +awe +assam +definitions +travelers +affordable +##rb +conferred +sells +undefeated +beneficial +torso +basal +repeating +remixes +bahrain +cables +fang +##itated +excavated +numbering +statutory +deluxe +##lian +forested +ramirez +derbyshire +zeus +slamming +transfers +astronomer +banana +lottery +berg +histories +bamboo +##uchi +resurrection +posterior +bowls +vaguely +##thi +thou +preserving +tensed +offence +##inas +meyrick +callum +ridden +watt +langdon +tying +lowland +snorted +daring +truman +##hale +##girl +aura +overly +filing +weighing +goa +infections +philanthropist +saunders +eponymous +##owski +latitude +perspectives +reviewing +mets +commandant +radial +##kha +flashlight +reliability +koch +vowels +amazed +ada +elaine +supper +##encies +predator +debated +soviets +cola +##boards +##nah +compartment +crooked +arbitrary +fourteenth +havana +majors +steelers +clips +profitable +ambush +exited +packers +##tile +nude +cracks +fungi +limb +trousers +josie +shelby +tens +frederic +##ος +definite +smoothly +constellation +insult +baton +discs +lingering +##nco +conclusions +lent +staging +becker +grandpa +shaky +##tron +einstein +obstacles +adverse +economically +##moto +mccartney +thor +dismissal +motions +readings +nostrils +treatise +##pace +squeezing +evidently +prolonged +1783 +venezuelan +je +marguerite +beirut +takeover +shareholders +##vent +denise +digit +airplay +norse +##bbling +imaginary +pills +hubert +blaze +vacated +eliminating +vine +mansfield +retrospective +barrow +borne +clutch +bail +forensic +weaving +##nett +##witz +desktop +citadel +promotions +worrying +dorset +subdivided +##iating +manned +expeditionary +pickup +synod +chuckle +barney +##rz +##ffin +functionality +karachi +litigation +meanings +lick +anders +##ffed +execute +curl +oppose +ankles +typhoon +##ache +linguistics +compassion +pressures +grazing +perfection +##iting +immunity +monopoly +muddy +backgrounds +namibia +francesca +monitors +attracting +stunt +tuition +##ии +vegetable +##mates +##quent +mgm +jen +complexes +forts +cellar +bites +seventeenth +royals +flemish +failures +mast +charities +##cular +peruvian +capitals +macmillan +ipswich +outward +frigate +postgraduate +folds +employing +##ouse +concurrently +fiery +##tai +contingent +nightmares +monumental +nicaragua +##kowski +lizard +mal +fielding +gig +reject +harding +##ipe +coastline +##cin +beethoven +humphrey +innovations +##tam +norris +doris +solicitor +obey +niagara +shelves +bourbon +nightclub +specifications +hilton +##ndo +centennial +dispersed +worm +neglected +briggs +kuala +uneasy +##nstein +##bound +##aking +##burgh +awaiting +pronunciation +##bbed +##quest +eh +optimal +zhu +raped +greens +presided +brenda +worries +venetian +marxist +turnout +##lius +refined +braced +sins +grasped +sunderland +nickel +speculated +lowell +cyrillic +communism +fundraising +resembling +colonists +mutant +freddie +usc +##mos +gratitude +##run +mural +##lous +chemist +reminds +28th +steals +tess +pietro +##ingen +promoter +ri +microphone +honoured +rai +sant +##qui +feather +##nson +burlington +kurdish +terrorists +deborah +sickness +##wed +hazard +irritated +desperation +veil +clarity +##rik +jewels +xv +##gged +##ows +##cup +berkshire +unfair +mysteries +orchid +winced +exhaustion +renovations +stranded +obe +infinity +##nies +adapt +redevelopment +thanked +registry +olga +domingo +noir +tudor +ole +commenting +behaviors +##ais +crisp +pauline +probable +stirling +wigan +paralympics +panting +surpassed +##rew +luca +barred +famed +##sters +cassandra +waiter +carolyn +exported +##orted +andres +destructive +deeds +jonah +castles +vacancy +##glass +1788 +orchard +yep +famine +belarusian +sprang +##forth +skinny +##mis +administrators +rotterdam +zambia +zhao +boiler +discoveries +##ride +##physics +lucius +disappointing +outreach +spoon +##frame +qualifications +unanimously +enjoys +regency +##iidae +stade +realism +veterinary +rodgers +dump +alain +chestnut +castile +censorship +rumble +gibbs +communion +reggae +inactivated +logs +loads +##houses +homosexual +##iano +ale +informs +##cas +phrases +plaster +linebacker +ambrose +kaiser +fascinated +limerick +recruitment +forge +mastered +##nding +leinster +rooted +threaten +##strom +borneo +##hes +suggestions +scholarships +propeller +documentaries +patronage +coats +constructing +invest +neurons +comet +entirety +shouts +identities +annoying +unchanged +wary +##antly +##ogy +neat +oversight +##kos +phillies +replay +constance +##kka +incarnation +humble +skies +minus +##acy +smithsonian +guerrilla +jar +cadets +##plate +surplus +audit +##aru +cracking +joanna +louisa +pacing +##lights +intentionally +##iri +diner +nwa +imprint +australians +tong +unprecedented +bunker +naive +specialists +ark +nichols +railing +leaked +pedal +##uka +shrub +longing +roofs +captains +neural +tuned +##ntal +##jet +emission +medina +frantic +codex +definitive +sid +abolition +intensified +stocks +enrique +sustain +genoa +oxide +##written +clues +cha +##gers +tributaries +fragment +venom +##ente +##sca +muffled +vain +sire +laos +##ingly +##hana +hastily +snapping +surfaced +sentiment +motive +##oft +contests +approximate +mesa +luckily +dinosaur +exchanges +propelled +accord +bourne +relieve +tow +masks +offended +##ues +cynthia +##mmer +rains +bartender +zinc +reviewers +lois +##sai +legged +arrogant +rafe +comprise +handicap +blockade +inlet +lagoon +copied +drilling +shelley +petals +##inian +mandarin +obsolete +##inated +onward +arguably +productivity +praising +seldom +busch +discusses +raleigh +shortage +ranged +stanton +encouragement +firstly +conceded +overs +temporal +##uke +cbe +##bos +woo +certainty +pumps +##pton +stalked +##uli +lizzie +periodic +thieves +weaker +gases +shoving +chooses +wc +##chemical +prompting +weights +##kill +robust +flanked +sticky +tuberculosis +##eb +##eal +christchurch +resembled +wallet +reese +inappropriate +pictured +distract +fixing +fiddle +giggled +burger +heirs +hairy +mechanic +torque +obsessed +chiefly +cheng +logging +extracted +meaningful +numb +##vsky +gloucestershire +reminding +unite +##lit +breeds +diminished +clown +glove +1860s +archibald +focal +freelance +sliced +depiction +##yk +organism +switches +sights +stray +crawling +##ril +lever +leningrad +interpretations +loops +anytime +reel +alicia +delighted +##ech +inhaled +xiv +suitcase +bernie +vega +licenses +northampton +exclusion +induction +monasteries +racecourse +homosexuality +##sfield +##rky +dimitri +michele +alternatives +ions +commentators +genuinely +objected +pork +hospitality +fencing +stephan +warships +peripheral +wit +drunken +wrinkled +quentin +spends +departing +chung +numerical +spokesperson +johannesburg +caliber +killers +##udge +assumes +neatly +demographic +abigail +bloc +mounting +##lain +bentley +slightest +xu +recipients +##jk +merlin +##writer +seniors +prisons +blinking +hindwings +flickered +kappa +##hel +80s +strengthening +appealing +brewing +gypsy +mali +lashes +hulk +unpleasant +harassment +bio +treaties +predict +instrumentation +pulp +troupe +boiling +mantle +##ffe +##vn +dividing +handles +verbs +##onal +coconut +senegal +thorough +gum +momentarily +##sto +cocaine +panicked +destined +##turing +teatro +denying +weary +captained +mans +##hawks +wakefield +bollywood +thankfully +cyril +amendments +##bahn +consultation +stud +reflections +kindness +1787 +internally +##ovo +tex +mosaic +distribute +paddy +seeming +##hic +piers +##mura +popularly +winger +kang +sentinel +mccoy +##anza +covenant +##bag +verge +fireworks +suppress +thrilled +dominate +##jar +swansea +reconciliation +stiffened +cue +dorian +##uf +damascus +amor +ida +foremost +##aga +porsche +unseen +dir +##had +##azi +stony +lexi +melodies +##nko +angular +integer +podcast +ants +inherent +jaws +justify +persona +##olved +josephine +##nr +##ressed +customary +flashes +gala +cyrus +glaring +backyard +ariel +physiology +greenland +stir +avon +atletico +finch +methodology +ked +mas +catholicism +townsend +branding +quincy +fits +containers +1777 +ashore +aragon +forearm +poisoning +adopting +conquer +grinding +amnesty +keller +finances +evaluate +forged +lankan +instincts +##uto +guam +bosnian +photographed +workplace +desirable +protector +allocation +intently +encourages +willy +##sten +bodyguard +electro +brighter +bihar +##chev +lasts +opener +amphibious +sal +verde +arte +##cope +captivity +vocabulary +yields +##tted +agreeing +desmond +pioneered +##chus +strap +campaigned +railroads +##ович +emblem +##dre +stormed +##ulous +marijuana +northumberland +##nath +bowen +landmarks +beaumont +##qua +danube +##bler +attorneys +th +flyers +critique +villains +cass +mutation +acc +##0s +colombo +mckay +motif +sampling +concluding +syndicate +##rell +neon +stables +warnings +clint +mourning +wilkinson +##tated +merrill +leopard +evenings +exhaled +emil +sonia +ezra +discrete +stove +farrell +fifteenth +prescribed +superhero +##rier +worms +helm +wren +##duction +expo +##rator +hq +unfamiliar +antony +prevents +acceleration +fiercely +mari +painfully +calculations +cheaper +ign +clifton +irvine +davenport +mozambique +pierced +##evich +wonders +##wig +##cate +##iling +crusade +ware +enzymes +reasonably +mls +##coe +mater +ambition +bunny +eliot +kernel +##fin +asphalt +headmaster +torah +aden +lush +pins +waived +##yas +joao +substrate +enforce +##grad +##ules +alvarez +selections +epidemic +tempted +bremen +translates +ensured +waterfront +29th +forrest +manny +malone +kramer +reigning +simpler +absorption +engraved +##ffy +evaluated +1778 +haze +comforting +crossover +##abe +thorn +##rift +##imo +suppression +fatigue +cutter +wurttemberg +##orf +enforced +hovering +proprietary +samurai +syllable +ascent +lacey +tick +lars +tractor +merchandise +rep +bouncing +defendants +##yre +huntington +##oko +standardized +##hor +##hima +assassinated +predecessors +rainy +liar +assurance +lyrical +##uga +secondly +flattened +parameter +undercover +##mity +bordeaux +punish +ridges +markers +exodus +inactive +hesitate +debbie +nyc +pledge +savoy +nagar +offset +organist +##tium +hesse +marin +converting +##iver +diagram +propulsion +validity +reverted +supportive +ministries +clans +responds +proclamation +##inae +ein +pleading +patriot +birch +islanders +strauss +hates +##dh +brandenburg +concession +1900s +killings +textbook +antiquity +cinematography +wharf +embarrassing +setup +creed +farmland +inequality +centred +signatures +fallon +##ingham +##uts +ceylon +gazing +directive +laurie +##tern +globally +##uated +##dent +allah +excavation +threads +##cross +frantically +icc +utilize +determines +respiratory +thoughtful +receptions +##dicate +merging +chandra +seine +builders +builds +diagnostic +dev +visibility +goddamn +analyses +dhaka +proves +chancel +concurrent +curiously +canadians +pumped +restoring +1850s +turtles +jaguar +sinister +spinal +declan +vows +1784 +glowed +capitalism +swirling +universidad +##lder +##oat +soloist +##genic +##oor +coincidence +beginnings +nissan +dip +resorts +caucasus +combustion +infectious +##eno +pigeon +serpent +##itating +conclude +masked +salad +jew +##gr +surreal +toni +##wc +harmonica +##gins +##etic +##coat +fishermen +intending +bravery +##wave +klaus +titan +wembley +taiwanese +ransom +40th +incorrect +hussein +eyelids +cooke +dramas +utilities +##etta +##print +eisenhower +principally +granada +lana +##rak +openings +concord +##bl +bethany +connie +morality +sega +##mons +##nard +earnings +##kara +##cine +communes +##rel +coma +composing +softened +severed +grapes +nguyen +analyzed +warlord +hubbard +heavenly +behave +slovenian +##hit +##ony +hailed +filmmakers +trance +caldwell +skye +unrest +coward +likelihood +##aging +bern +taliban +honolulu +propose +browser +imagining +cobra +contributes +dukes +instinctively +conan +violinist +##ores +accessories +gradual +##amp +quotes +sioux +##dating +undertake +intercepted +sparkling +compressed +fungus +tombs +haley +imposing +rests +degradation +lincolnshire +retailers +wetlands +tulsa +distributor +dungeon +nun +greenhouse +convey +atlantis +aft +exits +oman +dresser +lyons +##sti +joking +eddy +judgement +omitted +digits +##game +juniors +##rae +cents +stricken +une +##ngo +wizards +weir +breton +nan +technician +fibers +liking +royalty +persia +terribly +magician +##rable +##unt +vance +cafeteria +booker +camille +warmer +##static +consume +cavern +gaps +compass +contemporaries +foyer +soothing +graveyard +maj +plunged +blush +##wear +cascade +demonstrates +ordinance +##nov +boyle +##lana +rockefeller +shaken +banjo +izzy +##ense +breathless +vines +##eman +alterations +chromosome +dwellings +feudal +mole +catalonia +relics +tenant +mandated +##fm +fridge +hats +honesty +patented +raul +heap +cruisers +accusing +enlightenment +infants +wherein +chatham +contractors +affinity +hc +osborne +piston +traps +maturity +##rana +lagos +##zal +peering +##nay +attendant +dealers +protocols +subset +prospects +biographical +##cre +artery +##zers +insignia +nuns +endured +##eration +recommend +schwartz +serbs +berger +cromwell +crossroads +enduring +clasped +grounded +##bine +marseille +twitched +abel +choke +catalyst +moldova +italians +##tist +disastrous +wee +##oured +##nti +wwf +nope +##piration +##asa +expresses +thumbs +##nza +coca +1781 +cheating +##ption +skipped +sensory +heidelberg +spies +satan +dangers +semifinal +bohemia +whitish +confusing +shipbuilding +relies +surgeons +landings +ravi +baku +moor +suffix +alejandro +##yana +litre +upheld +##unk +rajasthan +##rek +coaster +insists +posture +scenarios +etienne +favoured +appoint +transgender +elephants +poked +greenwood +defences +fulfilled +militant +somali +1758 +chalk +potent +##ucci +migrants +wink +assistants +nos +restriction +activism +niger +##ario +colon +shaun +##sat +daphne +##erated +swam +congregations +reprise +considerations +magnet +playable +xvi +overthrow +tobias +knob +chavez +coding +##mers +propped +katrina +orient +newcomer +##suke +temperate +##pool +farmhouse +interrogation +committing +##vert +forthcoming +strawberry +joaquin +macau +ponds +shocking +siberia +##cellular +chant +contributors +##nant +##ologists +sped +absorb +hail +1782 +spared +##hore +barbados +karate +opus +originates +saul +##xie +evergreen +leaped +##rock +correlation +exaggerated +weekday +unification +bump +tracing +brig +afb +pathways +utilizing +disturbance +kneeling +##stad +##guchi +100th +pune +##thy +decreasing +manipulation +miriam +academia +ecosystem +occupational +rbi +##lem +rift +rotary +stacked +incorporation +awakening +generators +guerrero +racist +##omy +cyber +derivatives +culminated +allie +annals +panzer +sainte +pops +zu +austro +##vate +algerian +politely +nicholson +mornings +educate +tastes +thrill +dartmouth +##gating +##jee +regan +differing +concentrating +choreography +divinity +pledged +alexandre +routing +gregor +madeline +##idal +apocalypse +##hora +gunfire +culminating +elves +fined +liang +lam +programmed +tar +guessing +transparency +gabrielle +##gna +cancellation +flexibility +##lining +accession +shea +stronghold +nets +specializes +##rgan +abused +hasan +sgt +exceeding +admiration +supermarket +photographers +specialised +tilt +resonance +hmm +perfume +sami +threatens +garland +botany +guarding +boiled +greet +puppy +russo +supplier +wilmington +vibrant +vijay +##bius +paralympic +grumbled +paige +faa +licking +margins +hurricanes +##gong +fest +grenade +ripping +##uz +counseling +weigh +##sian +needles +wiltshire +edison +costly +##not +fulton +tramway +redesigned +staffordshire +gasping +watkins +sleepy +candidacy +monkeys +timeline +throbbing +##bid +##sos +berth +uzbekistan +vanderbilt +bothering +overturned +ballots +gem +##iger +sunglasses +subscribers +hooker +compelling +ang +exceptionally +saloon +stab +##rdi +carla +terrifying +##vision +coil +##oids +satisfying +vendors +31st +mackay +deities +overlooked +ambient +bahamas +felipe +olympia +whirled +botanist +advertised +tugging +disciples +morales +unionist +rites +foley +morse +motives +creepy +##₀ +soo +##sz +bargain +highness +frightening +turnpike +tory +reorganization +depict +biographer +unopposed +manifesto +##gles +institut +emile +accidental +kapoor +##dam +kilkenny +cortex +lively +romanesque +jain +shan +cannons +##ske +petrol +echoing +amalgamated +disappears +cautious +proposes +sanctions +trenton +flotilla +aus +contempt +tor +canary +cote +theirs +##hun +conceptual +deleted +fascinating +paso +blazing +elf +honourable +hutchinson +##eiro +##outh +##zin +surveyor +amidst +wooded +reissue +intro +##ono +cobb +shelters +newsletter +hanson +brace +encoding +confiscated +dem +caravan +marino +scroll +melodic +cows +imam +##adi +##aneous +northward +searches +biodiversity +cora +roaring +##bers +connell +theologian +halo +compose +pathetic +unmarried +dynamo +az +calculation +toulouse +deserves +humour +nr +forgiveness +tam +undergone +martyr +pamela +myths +whore +counselor +hicks +heavens +battleship +electromagnetic +stellar +establishments +presley +hopped +##chin +temptation +90s +wills +##yuan +nhs +##nya +seminars +##yev +adaptations +gong +asher +lex +indicator +sikh +tobago +cites +goin +##yte +satirical +##gies +characterised +correspond +bubbles +lure +participates +##vid +eruption +skate +therapeutic +1785 +canals +wholesale +defaulted +sac +petit +##zzled +virgil +leak +ravens +portraying +##yx +ghetto +creators +dams +portray +vicente +##rington +fae +namesake +bounty +##arium +joachim +##ota +##iser +aforementioned +axle +snout +depended +dismantled +reuben +##ibly +gallagher +##lau +earnest +##ieu +##iary +inflicted +objections +##llar +asa +gritted +##athy +jericho +##sea +##was +flick +underside +ceramics +undead +substituted +eastward +undoubtedly +wheeled +chimney +##iche +guinness +siding +traitor +baptiste +disguised +inauguration +tipperary +choreographer +perched +warmed +stationary +##ntes +bacterial +##aurus +flores +phosphate +attacker +invaders +alvin +intersects +indirectly +immigrated +businessmen +cornelius +valves +narrated +pill +sober +nationale +monastic +applicants +scenery +##jack +motifs +constitutes +##osh +jurisdictions +tuning +irritation +woven +##uddin +fertility +gao +##erie +antagonist +impatient +glacial +hides +boarded +denominations +interception +##jas +nicola +algebraic +marquess +bahn +parole +buyers +bait +turbines +paperwork +bestowed +natasha +renee +oceans +purchases +vaccine +##tock +fixtures +playhouse +integrate +jai +oswald +intellectuals +booked +nests +mortimer +##isi +obsession +sept +##gler +##sum +scrutiny +simultaneous +squinted +##shin +collects +oven +shankar +penned +remarkably +slips +luggage +spectral +1786 +collaborations +louie +consolidation +##ailed +##ivating +hoover +blackpool +harness +ignition +vest +tails +belmont +mongol +skinner +##nae +visually +mage +derry +##tism +##unce +stevie +transitional +##rdy +redskins +drying +prep +prospective +annoyance +oversee +##loaded +fills +##books +announces +scowled +respects +prasad +mystic +tucson +##vale +revue +springer +bankrupt +1772 +aristotle +habsburg +##geny +dal +natal +nut +pod +chewing +darts +moroccan +walkover +rosario +lenin +punjabi +##ße +grossed +scattering +wired +invasive +hui +polynomial +corridors +wakes +gina +portrays +##cratic +arid +retreating +erich +irwin +sniper +##dha +linen +lindsey +maneuver +butch +shutting +socio +bounce +commemorative +postseason +jeremiah +pines +mystical +beads +abbas +furnace +bidding +consulted +assaulted +empirical +rubble +enclosure +sob +weakly +cancel +polly +yielded +##emann +curly +prediction +battered +70s +vhs +jacqueline +render +sails +barked +detailing +grayson +riga +sloane +raging +##yah +herbs +bravo +##athlon +alloy +giggle +imminent +suffers +assumptions +waltz +##itate +accomplishments +##ited +bathing +remixed +deception +##emia +deepest +##eis +balkan +frogs +##rong +slab +##pate +philosophers +peterborough +grains +imports +dickinson +rwanda +##atics +1774 +dirk +tablets +##rove +clone +##rice +caretaker +hostilities +mclean +##gre +regimental +treasures +norms +impose +tsar +tango +diplomacy +variously +complain +recognise +arrests +1779 +celestial +pulitzer +##dus +libretto +##moor +adele +splash +expectation +lds +confronts +##izer +spontaneous +harmful +wedge +entrepreneurs +buyer +bilingual +translate +rugged +conner +circulated +uae +eaton +##gra +##zzle +lingered +lockheed +vishnu +reelection +alonso +##oom +joints +yankee +headline +cooperate +heinz +laureate +invading +##sford +echoes +scandinavian +##dham +hugging +vitamin +salute +micah +hind +trader +##sper +radioactive +##ndra +militants +poisoned +ratified +remark +campeonato +deprived +wander +prop +##dong +##tani +##eye +chiang +darcy +##oping +mandolin +spice +statesman +babylon +walled +forgetting +afro +##cap +giorgio +buffer +##polis +planetary +##gis +overlap +terminals +kinda +centenary +##bir +arising +manipulate +elm +ke +1770 +##tad +chrysler +mapped +moose +pomeranian +quad +macarthur +assemblies +shoreline +recalls +stratford +##rted +noticeable +##evic +imp +##rita +##sque +accustomed +supplying +tents +disgusted +sipped +filters +khz +reno +selecting +luftwaffe +mcmahon +tyne +masterpiece +carriages +collided +dunes +exercised +flare +remembers +muzzle +heck +##rson +burgess +lunged +middleton +boycott +bilateral +##sity +hazardous +lumpur +multiplayer +spotlight +jackets +goldman +liege +porcelain +rag +waterford +attracts +hopeful +battling +ottomans +kensington +baked +hymns +cheyenne +lattice +levine +borrow +polymer +clashes +michaels +monitored +commitments +denounced +##von +cavity +##oney +hobby +akin +##holders +futures +intricate +cornish +patty +##oned +illegally +dolphin +##lag +barlow +yellowish +maddie +apologized +luton +plagued +##puram +##rds +sway +fanny +łodz +##rino +psi +suspicions +hanged +##eding +initiate +charlton +##por +nak +competent +analytical +annex +wardrobe +reservations +sect +fairfax +hedge +piled +buckingham +uneven +bauer +simplicity +snyder +interpret +accountability +donors +moderately +byrd +continents +##cite +disciple +jamaican +nominees +##uss +mongolian +diver +attackers +eagerly +ideological +pillows +miracles +apartheid +revolver +sulfur +clinics +moran +##enko +ile +katy +rhetoric +##icated +chronology +recycling +##hrer +elongated +mughal +pascal +profiles +vibration +databases +domination +##fare +matthias +digest +rehearsal +polling +weiss +initiation +reeves +clinging +flourished +impress +##hoff +buckley +symposium +rhythms +weed +emphasize +transforming +##taking +##yman +accountant +analyze +flicker +foil +priesthood +voluntarily +decreases +##hya +slater +sv +charting +mcgill +##lde +moreno +besieged +zur +robes +##phic +admitting +deported +turmoil +peyton +earthquakes +##ares +nationalists +beau +clair +brethren +interrupt +welch +curated +galerie +requesting +##ested +impending +steward +viper +##vina +complaining +beautifully +brandy +foam +nl +1660 +alessandro +punches +laced +explanations +##lim +attribute +clit +reggie +discomfort +##cards +smoothed +whales +##cene +adler +countered +duffy +disciplinary +widening +recipe +reliance +conducts +goats +gradient +preaching +##shaw +matilda +quasi +striped +meridian +cannabis +cordoba +certificates +##agh +##tering +graffiti +hangs +pilgrims +repeats +##ych +revive +urine +etat +##hawk +fueled +belts +fuzzy +susceptible +mauritius +salle +sincere +beers +hooks +##cki +arbitration +entrusted +advise +sniffed +seminar +junk +donnell +processors +principality +strapped +celia +mendoza +everton +fortunes +prejudice +starving +reassigned +steamer +##lund +tuck +evenly +foreman +##ffen +dans +envisioned +slit +baseman +liberia +rosemary +##weed +electrified +periodically +potassium +stride +contexts +sperm +slade +mariners +influx +bianca +subcommittee +##rane +spilling +icao +estuary +##nock +delivers +##ulata +isa +mira +bohemian +dessert +##sbury +welcoming +proudly +slowing +##chs +musee +ascension +russ +##vian +waits +##psy +africans +exploit +##morphic +eccentric +crab +peck +entrances +formidable +marketplace +groom +bolted +metabolism +patton +robbins +courier +payload +endure +##ifier +andes +refrigerator +ornate +##uca +ruthless +illegitimate +masonry +strasbourg +bikes +apples +quintet +willingly +niche +bakery +corpses +energetic +##cliffe +##sser +##ards +centimeters +centro +fuscous +cretaceous +rancho +##yde +andrei +telecom +tottenham +oasis +ordination +vulnerability +presiding +corey +penguins +sims +##pis +malawi +piss +correction +##cked +##ffle +##ryn +countdown +detectives +psychiatrist +psychedelic +dinosaurs +blouse +choi +vowed +randomly +##pol +49ers +scrub +blanche +bruins +dusseldorf +##using +unwanted +##ums +dominique +elevations +headlights +om +laguna +##oga +1750 +famously +ignorance +shrewsbury +breuning +che +confederacy +greco +overhaul +##screen +paz +skirts +disagreement +cruelty +jagged +phoebe +shifter +hovered +viruses +##wes +##lined +landlord +squirrel +dashed +ornamental +gag +wally +grange +literal +spurs +undisclosed +proceeding +billie +orphan +spanned +humidity +indy +weighted +presentations +explosions +lucian +##tary +vaughn +hindus +##anga +##hell +psycho +daytona +protects +efficiently +rematch +sly +tandem +##oya +rebranded +impaired +hee +metropolis +peach +godfrey +diaspora +ethnicity +prosperous +gleaming +dar +grossing +playback +##rden +stripe +pistols +##tain +births +labelled +##cating +rudy +alba +##onne +aquarium +hostility +##tase +shudder +sumatra +hardest +lakers +consonant +creeping +demos +homicide +capsule +zeke +liberties +expulsion +pueblo +##comb +trait +transporting +##ddin +##neck +##yna +depart +gregg +mold +ledge +hangar +oldham +playboy +termination +analysts +gmbh +romero +##itic +insist +cradle +filthy +brightness +slash +shootout +deposed +bordering +##truct +microwave +tumbled +sheltered +cathy +werewolves +messy +andersen +convex +clapped +clinched +satire +wasting +edo +rufus +##jak +mont +##etti +poznan +##keeping +restructuring +transverse +##rland +azerbaijani +slovene +gestures +roommate +choking +shear +##quist +vanguard +oblivious +##hiro +disagreed +baptism +##lich +coliseum +##aceae +salvage +societe +cory +locke +relocation +relying +versailles +ahl +swelling +##elo +cheerful +##edes +gin +sarajevo +obstacle +diverted +##nac +messed +thoroughbred +fluttered +utrecht +chewed +acquaintance +assassins +dispatch +mirza +##wart +salzburg +swell +yen +##gee +idle +ligue +samson +##nds +##igh +playful +spawned +##cise +tease +##case +burgundy +stirring +skeptical +interceptions +marathi +##dies +bedrooms +aroused +pinch +##lik +preferences +tattoos +buster +digitally +projecting +rust +##ital +kitten +priorities +addison +pseudo +##guard +dusk +icons +sermon +##psis +##iba +##lift +ju +truce +rink +##dah +##wy +defects +psychiatry +offences +calculate +glucose +##iful +##rized +##unda +francaise +##hari +richest +warwickshire +carly +1763 +purity +redemption +lending +##cious +muse +bruises +cerebral +aero +carving +preface +terminology +invade +monty +anarchist +blurred +##iled +rossi +treats +guts +shu +foothills +ballads +undertaking +premise +cecilia +affiliates +blasted +conditional +wilder +minors +drone +rudolph +buffy +swallowing +horton +attested +rutherford +howell +primetime +livery +penal +##bis +minimize +hydro +wrecked +wrought +palazzo +##gling +cans +vernacular +friedman +nobleman +shale +walnut +danielle +##ection +##tley +sears +##kumar +chords +lend +flipping +streamed +por +dracula +gallons +sacrifices +gamble +orphanage +##iman +mckenzie +##gible +boxers +daly +##balls +##ان +##ific +##rative +##iq +exploited +slated +##uity +circling +hillary +pinched +goldberg +provost +campaigning +piles +ironically +jong +mohan +successors +usaf +##tem +##ught +autobiographical +haute +preserves +##ending +acquitted +comparisons +hydroelectric +gangs +cypriot +torpedoes +rushes +derive +bumps +instability +fiat +pets +##mbe +silas +dye +reckless +settler +##itation +heats +##writing +canonical +maltese +fins +mushroom +stacy +aspen +avid +##kur +##loading +vickers +gaston +hillside +statutes +wilde +gail +kung +sabine +comfortably +motorcycles +##rgo +pneumonia +fetch +##sonic +axel +faintly +parallels +##oop +mclaren +spouse +compton +interdisciplinary +miner +##eni +clamped +##chal +##llah +separates +versa +##mler +scarborough +labrador +##lity +##osing +rutgers +hurdles +como +burt +divers +wichita +cade +coincided +bruised +mla +vineyard +##ili +##brush +notch +mentioning +jase +hearted +kits +doe +##acle +pomerania +##ady +ronan +seizure +pavel +problematic +##zaki +domenico +##ulin +catering +penelope +dependence +parental +emilio +ministerial +atkinson +##bolic +clarkson +chargers +colby +grill +peeked +arises +summon +##aged +fools +##grapher +faculties +qaeda +##vial +garner +refurbished +##hwa +geelong +disasters +nudged +bs +shareholder +lori +algae +reinstated +rot +##ades +##nous +invites +stainless +inclusive +##itude +diocesan +til +##icz +denomination +##xa +benton +floral +registers +##erman +##kell +absurd +brunei +guangzhou +hitter +retaliation +##uled +##eve +blanc +nh +consistency +contamination +##eres +dire +palermo +broadcasters +diaries +inspire +vols +brewer +tightening +mixtape +hormone +##tok +stokes +##color +##dly +##ssi +##ometer +##lington +sanitation +##tility +intercontinental +##adt +¹⁄₂ +cylinders +economies +favourable +unison +croix +gertrude +odyssey +vanity +dangling +##logists +upgrades +dice +middleweight +practitioner +henrik +parlor +orion +angered +lac +blurted +##rri +sensual +intends +swings +angled +##phs +husky +attain +peerage +precinct +textiles +cheltenham +shuffled +dai +confess +tasting +bhutan +##riation +tyrone +segregation +abrupt +ruiz +##rish +smirked +blackwell +confidential +browning +amounted +vase +scarce +fabulous +raided +staple +guyana +unemployed +glider +shay +##tow +carmine +troll +intervene +squash +superstar +cylindrical +len +roadway +researched +handy +##rium +##jana +lao +declares +##rring +##tadt +##elin +##kova +willem +shrubs +napoleonic +realms +skater +volkswagen +##ł +tad +hara +archaeologist +awkwardly +eerie +##kind +wiley +##heimer +titus +organizers +cfl +crusaders +lama +vent +enraged +thankful +occupants +maximilian +##gaard +possessing +textbooks +##oran +collaborator +quaker +##ulo +avalanche +mono +silky +straits +isaiah +mustang +surged +resolutions +potomac +descend +kilograms +plato +strains +saturdays +##olin +bernstein +##ype +holstein +ponytail +belize +conversely +heroine +perpetual +##ylus +charcoal +piedmont +glee +negotiating +backdrop +prologue +##jah +pasadena +climbs +ramos +sunni +##holm +##tner +##tri +anand +deficiency +hertfordshire +stout +##avi +aperture +orioles +##irs +doncaster +intrigued +bombed +coating +otis +##mat +cocktail +##jit +##eto +amir +arousal +sar +##proof +dixie +pots +whereabouts +##fted +drains +bullying +cottages +scripture +coherent +fore +poe +appetite +##uration +sampled +##ators +derrick +rotor +jays +peacock +installment +##rro +advisors +##coming +rodeo +scotch +##mot +##fen +##vant +ensued +rodrigo +dictatorship +martyrs +twenties +towed +incidence +marta +rainforest +sai +scaled +##cles +oceanic +qualifiers +symphonic +mcbride +dislike +generalized +aubrey +colonization +##iation +##lion +##ssing +disliked +lublin +salesman +##ulates +spherical +whatsoever +sweating +avalon +contention +punt +severity +alderman +atari +##dina +##grant +##rop +scarf +seville +vertices +annexation +fairfield +fascination +inspiring +launches +palatinate +regretted +##rca +feral +##iom +elk +nap +olsen +reddy +yong +##leader +##iae +garment +transports +feng +gracie +outrage +viceroy +insides +##esis +breakup +grady +organizer +softer +grimaced +murals +galicia +arranging +vectors +##rsten +##sb +##cens +sloan +##eka +bitten +ara +fender +nausea +bumped +kris +banquet +comrades +detector +persisted +##llan +adjustment +endowed +cinemas +sellers +##uman +peek +epa +kindly +neglect +simpsons +talon +mausoleum +runaway +hangul +lookout +##cic +coughed +acquainted +chloride +quicker +accordion +neolithic +##qa +artemis +coefficient +lenny +pandora +tx +##xed +ecstasy +litter +segunda +chairperson +gemma +hiss +rumor +vow +nasal +antioch +compensate +patiently +transformers +##eded +judo +morrow +penis +posthumous +bandits +husbands +denote +flaming +##any +##phones +langley +yorker +1760 +walters +##kle +gubernatorial +fatty +leroy +outlaw +##nine +unpublished +poole +jakob +##ᵢ +##ₙ +crete +distorted +superiority +##dhi +intercept +crust +mig +claus +crashes +stallion +frontal +armistice +##estinal +elton +aj +encompassing +camel +commemorated +malaria +woodward +calf +cigar +penetrate +##oso +willard +##rno +##uche +illustrate +amusing +convergence +noteworthy +##lma +##rva +journeys +realise +manfred +##sable +##vocation +hearings +fiance +##posed +educators +provoked +adjusting +##cturing +modular +stockton +paterson +vlad +rejects +electors +selena +maureen +##tres +##rce +swirled +##num +proportions +nanny +pawn +naturalist +parma +apostles +awoke +ethel +wen +##bey +monsoon +overview +##inating +mccain +rendition +risky +adorned +##ih +equestrian +germain +nj +conspicuous +confirming +##yoshi +shivering +##imeter +milestone +rumours +flinched +bounds +smacked +token +##bei +lectured +automobiles +##shore +impacted +##iable +nouns +nero +##leaf +ismail +prostitute +trams +bridget +sud +stimulus +impressions +reins +revolves +##gned +giro +honeymoon +##swell +criterion +##sms +##uil +libyan +prefers +##osition +preview +sucks +accusation +bursts +metaphor +diffusion +tolerate +faye +betting +cinematographer +liturgical +specials +bitterly +humboldt +##ckle +flux +rattled +##itzer +archaeologists +odor +authorised +marshes +discretion +##ов +alarmed +archaic +inverse +##leton +explorers +##pine +drummond +tsunami +woodlands +##minate +##tland +booklet +insanity +owning +insert +crafted +calculus +receivers +stung +##eca +##nched +prevailing +travellers +eyeing +lila +graphs +##borne +julien +##won +morale +adaptive +therapist +erica +cw +libertarian +bowman +pitches +vita +##ional +crook +##entation +caledonia +mutiny +##sible +1840s +automation +flock +##pia +ironic +pathology +##imus +remarried +joker +withstand +energies +##att +shropshire +hostages +madeleine +tentatively +conflicting +mateo +recipes +euros +mercenaries +nico +##ndon +albuquerque +augmented +mythical +bel +freud +##child +cough +##lica +freddy +lillian +genetically +nuremberg +calder +bonn +outdoors +paste +suns +urgency +vin +restraint +tyson +##cera +##selle +barrage +bethlehem +kahn +##par +mounts +nippon +barony +happier +ryu +makeshift +sheldon +blushed +castillo +barking +listener +taped +bethel +fluent +headlines +pornography +rum +disclosure +sighing +mace +doubling +gunther +manly +##plex +interventions +physiological +forwards +emerges +##tooth +##gny +compliment +rib +recession +visibly +barge +faults +connector +exquisite +prefect +##rlin +patio +##cured +elevators +italics +pena +wasp +satin +botswana +graceful +respectable +##jima +##rter +##oic +franciscan +generates +##dl +alfredo +disgusting +##olate +##iously +sherwood +warns +cod +promo +cheryl +sino +##escu +twitch +##zhi +brownish +thom +ortiz +##dron +densely +##beat +carmel +reinforce +##bana +anastasia +downhill +vertex +contaminated +remembrance +harmonic +homework +fiancee +gears +olds +angelica +ramsay +quiz +colliery +sevens +##cape +autism +##hil +walkway +##boats +ruben +abnormal +ounce +khmer +##bbe +zachary +bedside +morphology +punching +##olar +sparrow +convinces +hewitt +queer +remastered +rods +mabel +solemn +notified +lyricist +symmetric +##xide +encore +passports +wildcats +##uni +baja +##pac +mildly +##ease +bleed +commodity +mounds +glossy +orchestras +##omo +damian +prelude +ambitions +##vet +awhile +remotely +##aud +asserts +imply +##iques +distinctly +modelling +remedy +##dded +windshield +dani +xiao +##endra +audible +powerplant +invalid +elemental +acquisitions +##hala +immaculate +libby +plata +smuggling +ventilation +denoted +minh +##morphism +differed +dion +kelley +lore +mocking +sabbath +spikes +hygiene +drown +runoff +stylized +tally +liberated +aux +interpreter +righteous +aba +siren +reaper +pearce +millie +##cier +##yra +gaius +##iso +captures +##ttering +dorm +claudio +##sic +benches +knighted +blackness +##ored +discount +fumble +oxidation +routed +novak +perpendicular +spoiled +fracture +splits +pads +topology +##cats +axes +fortunate +offenders +protestants +esteem +broadband +convened +frankly +hound +prototypes +isil +facilitated +keel +##sher +sahara +awaited +bubba +orb +prosecutors +hem +##xing +relaxing +remnant +romney +sorted +slalom +stefano +ulrich +##active +exemption +folder +pauses +foliage +hitchcock +epithet +criticisms +##aca +ballistic +brody +hinduism +chaotic +youths +equals +##pala +pts +thicker +analogous +capitalist +improvised +overseeing +sinatra +ascended +beverage +straightforward +##kon +curran +bois +induce +surveying +emperors +sax +unpopular +cartoonist +fused +##mble +unto +##yuki +localities +##cko +##ln +darlington +slain +academie +lobbying +sediment +puzzles +##grass +defiance +dickens +manifest +tongues +alumnus +arbor +coincide +appalachian +mustafa +examiner +cabaret +traumatic +yves +bracelet +draining +heroin +magnum +baths +odessa +consonants +mitsubishi +##gua +kellan +vaudeville +joked +straps +probation +##ław +ceded +interfaces +##pas +##zawa +blinding +viet +rothschild +museo +huddersfield +tactic +##storm +brackets +dazed +incorrectly +##vu +reg +glazed +fearful +manifold +benefited +irony +stumbling +##rte +willingness +balkans +mei +wraps +##aba +injected +##lea +gu +syed +harmless +##hammer +bray +takeoff +poppy +timor +cardboard +astronaut +purdue +weeping +southbound +cursing +stalls +diagonal +##neer +lamar +bryce +comte +weekdays +harrington +##uba +negatively +##see +lays +grouping +##cken +##henko +affirmed +halle +modernist +##lai +hodges +smelling +aristocratic +baptized +dismiss +justification +oilers +coupling +qin +snack +healer +##qing +gardener +layla +battled +formulated +stephenson +gravitational +##gill +1768 +granny +coordinating +suites +##ioned +monarchs +##cote +##hips +blended +barrister +deposition +fia +mina +policemen +paranoid +##pressed +churchyard +covert +crumpled +creep +abandoning +tr +transmit +conceal +barr +understands +readiness +spire +##cology +##enia +startling +unlock +vida +bowled +slots +##nat +##islav +spaced +trusting +admire +rig +slack +casualty +classmates +##odes +##rar +##rked +amherst +furnished +evolve +foundry +menace +mead +##lein +flu +wesleyan +##kled +monterey +webber +##vos +wil +##mith +##на +bartholomew +justices +restrained +##cke +amenities +mediated +sewage +trenches +mainz +##thus +1800s +##cula +##inski +caine +bonding +converts +spheres +superseded +marianne +crypt +sweaty +ensign +historia +##br +spruce +##ask +forks +thoughtfully +yukon +pamphlet +ames +##uter +karma +##yya +bryn +negotiation +sighs +incapable +##mbre +##ntial +actresses +taft +##mill +luce +prevailed +##amine +1773 +motionless +envoy +testify +investing +sculpted +instructors +provence +kali +cullen +horseback +##while +goodwin +##jos +gaa +norte +##ldon +modify +wavelength +abd +skinned +sprinter +forecast +scheduling +marries +squared +tentative +##chman +boer +##isch +bolts +swap +fisherman +assyrian +impatiently +guthrie +martins +murdoch +tanya +nicely +dolly +lacy +med +syn +decks +fashionable +millionaire +surfing +heaved +tammy +consulate +attendees +routinely +fuse +saxophonist +backseat +malaya +##lord +scowl +tau +##ishly +sighted +steaming +##rks +##holes +##hong +ching +##wife +bless +conserved +jurassic +stacey +zion +chunk +rigorous +blaine +peabody +slayer +dismay +brewers +nz +##jer +det +##glia +glover +postwar +penetration +sylvester +imitation +vertically +airlift +heiress +knoxville +viva +##uin +macon +##rim +##fighter +##gonal +janice +##orescence +##wari +marius +belongings +leicestershire +blanco +inverted +preseason +sanity +sobbing +##due +##elt +##dled +collingwood +regeneration +flickering +shortest +##mount +##osi +feminism +##lat +sherlock +cabinets +fumbled +northbound +precedent +snaps +##mme +researching +##akes +guillaume +insights +manipulated +vapor +neighbour +gangster +frey +stalking +scarcely +callie +barnett +tendencies +doomed +assessing +slung +panchayat +ambiguous +bartlett +##etto +distributing +violating +wolverhampton +##hetic +swami +histoire +##urus +liable +pounder +groin +hussain +larsen +popping +surprises +##atter +vie +curt +##station +mute +relocate +musicals +authorization +richter +##sef +immortality +tna +bombings +deteriorated +yiddish +##acious +robbed +colchester +ao +verified +balancing +apostle +swayed +recognizable +oxfordshire +retention +nottinghamshire +contender +judd +invitational +shrimp +uhf +##icient +cleaner +longitudinal +tanker +##mur +acronym +broker +koppen +sundance +suppliers +##gil +clipped +fuels +petite +##anne +landslide +helene +diversion +populous +landowners +auspices +melville +quantitative +##xes +ferries +nicky +##llus +doo +haunting +roche +carver +downed +unavailable +##pathy +approximation +hiroshima +##hue +garfield +valle +comparatively +keyboardist +traveler +##eit +congestion +calculating +subsidiaries +##bate +serb +modernization +fairies +deepened +ville +averages +##lore +inflammatory +tonga +##itch +co₂ +squads +##hea +gigantic +serum +enjoyment +retailer +verona +35th +cis +##phobic +magna +technicians +##vati +arithmetic +##sport +levin +##dation +amtrak +chow +sienna +##eyer +backstage +entrepreneurship +##otic +learnt +tao +##udy +worcestershire +formulation +baggage +hesitant +bali +sabotage +##kari +barren +enhancing +murmur +pl +freshly +putnam +syntax +aces +medicines +resentment +bandwidth +##sier +grins +chili +guido +##sei +framing +implying +gareth +lissa +genevieve +pertaining +admissions +geo +thorpe +proliferation +sato +bela +analyzing +parting +##gor +awakened +##isman +huddled +secrecy +##kling +hush +gentry +dungeons +##ego +coasts +##utz +sacrificed +##chule +landowner +mutually +prevalence +programmer +adolescent +disrupted +seaside +gee +trusts +vamp +georgie +##nesian +##iol +schedules +sindh +##market +etched +hm +sparse +bey +beaux +scratching +gliding +unidentified +collaborating +gems +jesuits +oro +accumulation +shaping +mbe +anal +##xin +enthusiasts +newscast +##egan +janata +dewey +parkinson +ankara +biennial +towering +inconsistent +##chet +thriving +terminate +cabins +furiously +eats +advocating +donkey +marley +muster +phyllis +leiden +##user +grassland +glittering +iucn +loneliness +memorandum +armenians +##ddle +popularized +rhodesia +60s +lame +##illon +sans +bikini +header +orbits +##finger +##ulator +sharif +spines +biotechnology +strolled +naughty +yates +##wire +fremantle +milo +##mour +abducted +removes +##atin +humming +##chrome +##ester +hume +pivotal +##rates +armand +grams +believers +elector +rte +apron +bis +scraped +##yria +endorsement +initials +##llation +dotted +hints +buzzing +emigration +nearer +indicators +##ulu +coarse +neutron +protectorate +##uze +directional +exploits +pains +loire +1830s +proponents +guggenheim +rabbits +ritchie +hectare +inputs +hutton +##raz +verify +##ako +boilers +longitude +##lev +skeletal +yer +emilia +citrus +compromised +##gau +prescription +paragraph +eduard +cadillac +attire +categorized +kenyan +weddings +charley +##bourg +entertain +monmouth +##lles +nutrients +davey +mesh +incentive +practised +ecosystems +kemp +subdued +overheard +##rya +bodily +maxim +##nius +apprenticeship +ursula +##fight +lodged +rug +silesian +unconstitutional +patel +inspected +coyote +unbeaten +##hak +34th +disruption +convict +parcel +##nham +collier +implicated +mallory +##iac +susannah +winkler +##rber +shia +phelps +sediments +graphical +robotic +##sner +adulthood +mart +smoked +##isto +kathryn +clarified +##aran +divides +convictions +oppression +pausing +burying +##mt +federico +mathias +eileen +##tana +kite +hunched +##acies +##atz +disadvantage +liza +kinetic +greedy +paradox +yokohama +dowager +trunks +ventured +##gement +gupta +vilnius +olaf +##thest +crimean +hopper +##ej +progressively +arturo +mouthed +arrondissement +##fusion +rubin +simulcast +oceania +##orum +##stra +##rred +busiest +intensely +navigator +cary +##vine +##hini +##bies +fife +rowe +rowland +posing +insurgents +shafts +lawsuits +activate +conor +inward +culturally +garlic +##eering +eclectic +##hui +##kee +##nl +furrowed +vargas +meteorological +rendezvous +##aus +culinary +commencement +##dition +quota +##notes +mommy +salaries +overlapping +mule +##iology +##mology +sums +wentworth +##isk +##zione +mainline +subgroup +##illy +hack +plaintiff +verdi +bulb +differentiation +engagements +multinational +supplemented +bertrand +caller +regis +##naire +##sler +##arts +##imated +blossom +propagation +kilometer +viaduct +vineyards +##uate +beckett +optimization +golfer +songwriters +seminal +semitic +thud +volatile +evolving +ridley +##wley +trivial +distributions +scandinavia +jiang +wrestled +insistence +emphasizes +napkin +##ods +adjunct +rhyme +##ricted +##eti +hopeless +surrounds +tremble +32nd +smoky +##ntly +oils +medicinal +padded +steer +wilkes +concessions +hue +uniquely +blinded +landon +##lane +hendrix +commemorating +dex +specify +chicks +##ggio +intercity +morley +##torm +highlighting +##oting +pang +oblique +stalled +##liner +flirting +newborn +1769 +bishopric +shaved +currie +dharma +spartan +##ooped +favorites +smug +novella +sirens +abusive +creations +espana +##lage +paradigm +semiconductor +sheen +##rdo +##yen +##zak +nrl +renew +##pose +##tur +adjutant +marches +norma +##enity +ineffective +weimar +grunt +##gat +lordship +plotting +expenditure +infringement +lbs +refrain +mimi +mistakenly +postmaster +1771 +##bara +ras +motorsports +tito +subjective +##zza +bully +stew +##kaya +prescott +##raphic +##zam +bids +styling +paranormal +reeve +sneaking +exploding +katz +akbar +migrant +syllables +indefinitely +##ogical +destroys +replaces +applause +##phine +pest +##fide +articulated +bertie +##cars +##ptic +courtroom +crowley +aesthetics +cummings +tehsil +hormones +titanic +dangerously +##ibe +stadion +jaenelle +auguste +ciudad +##chu +mysore +partisans +lucan +philipp +##aly +debating +henley +interiors +##rano +##tious +homecoming +beyonce +usher +henrietta +prepares +weeds +ely +plucked +##pire +##dable +luxurious +##aq +artifact +password +pasture +juno +maddy +minsk +##dder +##ologies +##rone +assessments +martian +royalist +1765 +examines +##mani +nino +parry +scooped +relativity +##eli +##uting +##cao +congregational +noisy +traverse +##agawa +strikeouts +nickelodeon +obituary +transylvania +binds +depictions +polk +trolley +##yed +##lard +breeders +##under +dryly +hokkaido +1762 +strengths +stacks +bonaparte +neared +prostitutes +stamped +anaheim +gutierrez +sinai +##zzling +bram +fresno +madhya +proton +##lena +##llum +##phon +reelected +wanda +##anus +##lb +ample +distinguishing +##yler +grasping +sermons +tomato +bland +stimulation +avenues +##eux +spreads +scarlett +fern +pentagon +assert +baird +chesapeake +calmed +distortion +fatalities +##olis +correctional +pricing +##astic +##gina +prom +dammit +ying +collaborate +##chia +welterweight +33rd +pointer +substitution +bonded +umpire +communicating +multitude +paddle +##obe +federally +intimacy +##insky +betray +ssr +##lett +##lves +##therapy +airbus +##tery +functioned +ud +bearer +biomedical +##hire +##nca +condom +brink +ik +##nical +macy +flap +gma +experimented +jelly +lavender +##icles +##ulia +munro +##mian +##tial +rye +##rle +60th +gigs +hottest +rotated +predictions +fuji +bu +##erence +##omi +barangay +##fulness +##sas +clocks +##rwood +##liness +cereal +roe +wight +decker +uttered +babu +onion +forcibly +##df +petra +sarcasm +hartley +peeled +storytelling +##xley +##ysis +##ffa +fibre +kiel +auditor +fig +harald +greenville +##berries +geographically +nell +quartz +##athic +cemeteries +crossings +nah +holloway +reptiles +chun +sichuan +snowy +corrections +##ivo +zheng +ambassadors +blacksmith +fielded +fluids +hardcover +turnover +medications +melvin +academies +##erton +roach +absorbing +spaniards +colton +##founded +outsider +espionage +kelsey +edible +##ulf +dora +establishes +##sham +##tries +contracting +##tania +cinematic +costello +nesting +##uron +connolly +duff +##nology +mma +##mata +fergus +sexes +optics +spectator +woodstock +banning +##hee +##fle +differentiate +outfielder +refinery +gerhard +horde +lair +drastically +##udi +landfall +##cheng +motorsport +odi +##achi +predominant +quay +skins +##ental +edna +harshly +complementary +murdering +##aves +wreckage +ono +outstretched +lennox +munitions +galen +reconcile +scalp +bicycles +gillespie +questionable +rosenberg +guillermo +jarvis +kabul +opium +yd +##twined +abuses +decca +outpost +##cino +sensible +neutrality +ponce +anchorage +atkins +turrets +inadvertently +disagree +libre +vodka +reassuring +weighs +##yal +glide +jumper +ceilings +repertory +outs +stain +##bial +envy +##ucible +smashing +heightened +policing +hyun +mixes +lai +prima +##ples +celeste +##bina +lucrative +intervened +kc +manually +##rned +stature +staffed +bun +bastards +nairobi +priced +##auer +thatcher +##kia +tripped +comune +##ogan +##pled +brasil +incentives +emanuel +hereford +musica +##kim +benedictine +biennale +##lani +eureka +gardiner +rb +knocks +sha +##ael +##elled +##onate +efficacy +ventura +masonic +sanford +maize +leverage +##feit +capacities +santana +##aur +novelty +vanilla +##cter +##tour +benin +##oir +neptune +drafting +tallinn +##cable +humiliation +##boarding +schleswig +fabian +bernardo +liturgy +spectacle +sweeney +pont +routledge +cosmos +ut +hilt +sleek +universally +##eville +##gawa +typed +##dry +favors +allegheny +glaciers +##rly +recalling +aziz +parasite +requiem +auf +##berto +##llin +illumination +##breaker +##issa +festivities +bows +govern +vibe +vp +sprawled +larson +pilgrim +bwf +leaping +##rts +##ssel +alexei +greyhound +hoarse +##dler +##oration +seneca +##cule +gaping +##ulously +##pura +cinnamon +##gens +##rricular +craven +fantasies +houghton +engined +reigned +dictator +supervising +##oris +bogota +commentaries +unnatural +fingernails +spirituality +tighten +canadiens +protesting +intentional +cheers +sparta +##ytic +##iere +##zine +widen +belgarath +controllers +dodd +iaaf +navarre +##ication +defect +squire +steiner +whisky +##mins +inevitably +tome +##gold +chew +##lid +elastic +##aby +streaked +alliances +jailed +regal +##ined +##phy +czechoslovak +narration +absently +##uld +bluegrass +guangdong +quran +criticizing +hose +hari +##liest +##owa +skier +streaks +deploy +##lom +raft +bose +dialed +huff +##eira +haifa +simplest +bursting +endings +sultanate +##titled +franks +whitman +ensures +sven +##ggs +collaborators +forster +organising +banished +napier +injustice +teller +layered +thump +##otti +roc +battleships +evidenced +fugitive +sadie +robotics +##roud +equatorial +geologist +##iza +yielding +##bron +##sr +internationale +mecca +##diment +skyline +toad +uploaded +reflective +undrafted +lal +leafs +bayern +##dai +lakshmi +shortlisted +##stick +##wicz +camouflage +donate +christi +lau +##acio +disclosed +nemesis +1761 +assemble +straining +northamptonshire +tal +##asi +bernardino +premature +heidi +42nd +coefficients +galactic +reproduce +buzzed +sensations +zionist +monsieur +myrtle +archery +strangled +musically +viewpoint +antiquities +bei +trailers +seahawks +cured +pee +preferring +tasmanian +lange +sul +##working +colder +overland +lucivar +massey +gatherings +haitian +##smith +disapproval +flaws +##cco +##enbach +1766 +npr +##icular +boroughs +creole +forums +techno +1755 +dent +abdominal +streetcar +##eson +##stream +procurement +gemini +predictable +##tya +acheron +christoph +feeder +fronts +vendor +bernhard +jammu +tumors +slang +##uber +goaltender +twists +curving +manson +vuelta +mer +peanut +confessions +pouch +unpredictable +allowance +theodor +vascular +##factory +bala +authenticity +metabolic +coughing +nanjing +##cea +pembroke +##bard +splendid +36th +hourly +##ahu +elmer +handel +##ivate +awarding +thrusting +experimentation +##hesion +caressed +entertained +steak +##rangle +biologist +orphans +baroness +oyster +stepfather +##dridge +mirage +reefs +speeding +barons +1764 +inhabit +preached +repealed +##tral +honoring +boogie +captives +administer +johanna +##imate +gel +suspiciously +1767 +sobs +##dington +backbone +hayward +garry +##folding +##nesia +maxi +##oof +##ppe +ellison +galileo +##stand +crimea +frenzy +amour +bumper +matrices +natalia +baking +garth +palestinians +##grove +smack +conveyed +ensembles +gardening +##manship +##rup +##stituting +1640 +harvesting +topography +shifters +dormitory +##carriage +##lston +ist +skulls +##stadt +dolores +jewellery +sarawak +##wai +##zier +fences +christy +confinement +tumbling +credibility +fir +stench +##bria +##plication +##nged +##sam +virtues +##belt +marjorie +pba +##eem +##made +celebrates +schooner +agitated +barley +fulfilling +anthropologist +restrict +novi +regulating +##nent +padres +##rani +##hesive +loyola +tabitha +milky +olson +proprietor +crambidae +guarantees +intercollegiate +ljubljana +hilda +##sko +ignorant +hooded +sardinia +##lidae +##vation +frontman +privileged +witchcraft +jammed +laude +poking +##than +bracket +amazement +yunnan +##erus +maharaja +linnaeus +commissioning +milano +peacefully +##logies +akira +rani +regulator +grasses +##rance +luzon +crows +compiler +gretchen +seaman +edouard +buccaneers +ellington +hamlets +whig +socialists +##anto +directorial +easton +mythological +##kr +##vary +rhineland +semantic +taut +dune +inventions +succeeds +##iter +replication +branched +##pired +prosecuted +kangaroo +penetrated +##avian +middlesbrough +doses +bleak +madam +predatory +relentless +##vili +reluctance +##vir +hailey +crore +silvery +1759 +monstrous +swimmers +transmissions +hawthorn +informing +##eral +toilets +caracas +crouch +##sett +cartel +hadley +##aling +alexia +yvonne +##biology +cinderella +eton +superb +blizzard +stabbing +industrialist +maximus +##orus +groves +maud +clade +oversized +comedic +##bella +rosen +nomadic +fulham +montane +beverages +galaxies +redundant +swarm +##rot +##folia +##llis +buckinghamshire +fen +bearings +bahadur +##rom +gilles +phased +dynamite +faber +benoit +##ount +fractured +tailored +anya +spices +westwood +cairns +auditions +inflammation +steamed +##rocity +##acion +##urne +skyla +thereof +watford +torment +archdeacon +transforms +demeanor +fucked +serge +##sor +mckenna +minas +entertainer +##icide +caress +originate +residue +##sty +1740 +##ilised +##org +beech +##wana +subsidies +##ghton +emptied +gladstone +firefighters +voodoo +het +nightingale +tamara +edmond +ingredient +weaknesses +silhouette +compatibility +withdrawing +hampson +##mona +anguish +giggling +bookstore +southernmost +tilting +##vance +bai +economical +briefcase +dreadful +hinted +projections +shattering +totaling +##rogate +analogue +indicted +periodical +fullback +##dman +haynes +##tenberg +##ffs +##ishment +1745 +thirst +stumble +penang +vigorous +##ddling +##kor +##lium +octave +##ove +##enstein +##inen +##ones +siberian +##uti +cbn +repeal +swaying +##vington +khalid +tanaka +unicorn +otago +plastered +lobe +riddle +##rella +perch +##ishing +croydon +filtered +graeme +tripoli +##ossa +crocodile +##chers +sufi +mined +##tung +inferno +lsu +##phi +swelled +utilizes +£2 +cale +periodicals +styx +hike +informally +coop +lund +##tidae +ala +hen +qui +transformations +disposed +sheath +chickens +##cade +fitzroy +silesia +unacceptable +odisha +1650 +sabrina +spokane +ratios +athena +massage +shen +dilemma +##drum +##riz +##hul +corona +doubtful +niall +##pha +##bino +fines +cite +acknowledging +bangor +ballard +bathurst +##resh +huron +mustered +alzheimer +garments +kinase +tyre +warship +flashback +pulmonary +braun +cheat +kamal +cyclists +constructions +grenades +ndp +traveller +excuses +stomped +signalling +trimmed +futsal +mosques +relevance +##wine +wta +##vah +hoc +##riding +optimistic +##´s +deco +interacting +rejecting +moniker +waterways +##ieri +##oku +mayors +gdansk +outnumbered +pearls +##ended +##hampton +fairs +totals +dominating +notions +stairway +compiling +pursed +commodities +grease +yeast +##jong +carthage +griffiths +residual +amc +contraction +laird +sapphire +##marine +##ivated +amalgamation +dissolve +inclination +lyle +packaged +altitudes +suez +canons +graded +lurched +narrowing +boasts +guise +enrico +##ovsky +rower +scarred +bree +cub +iberian +protagonists +bargaining +proposing +trainers +voyages +fishes +##aea +##ivist +##verance +encryption +artworks +kazan +sabre +cleopatra +hepburn +rotting +supremacy +mecklenburg +##brate +burrows +hazards +outgoing +flair +organizes +##ctions +scorpion +##usions +boo +chevalier +dunedin +slapping +ineligible +pensions +##omic +manufactures +emails +bismarck +weakening +blackish +ding +mcgee +quo +##rling +northernmost +manpower +greed +sampson +clicking +##ange +##horpe +##inations +##roving +torre +##eptive +##moral +symbolism +38th +asshole +meritorious +outfits +splashed +biographies +sprung +astros +##tale +filly +raoul +nw +tokugawa +linden +clubhouse +##apa +tracts +romano +##pio +putin +chained +dickson +gunshot +moe +gunn +rashid +##tails +zipper +##bas +##nea +contrasted +##ply +##udes +plum +pharaoh +##pile +aw +comedies +ingrid +sandwiches +subdivisions +mariana +kamen +hz +delaney +veto +herring +##words +possessive +outlines +##roup +siemens +stairwell +gallantry +messiah +palais +yells +zeppelin +bolivar +##cede +smackdown +mckinley +##mora +##yt +muted +geologic +finely +unitary +avatar +hamas +maynard +rees +bog +contrasting +##rut +liv +chico +disposition +##erate +becca +dmitry +yeshiva +narratives +##lva +##ulton +mercenary +sharpe +tempered +navigate +stealth +amassed +keynes +##lini +untouched +##rrie +havoc +lithium +##fighting +abyss +graf +southward +wolverine +balloons +implements +ngos +transitions +##icum +ambushed +concacaf +dormant +economists +##dim +costing +csi +rana +universite +boulders +verity +##llon +collin +mellon +misses +cypress +fluorescent +lifeless +spence +##ulla +crewe +shepard +pak +revelations +jolly +gibbons +paw +##dro +##quel +freeing +shack +fries +palatine +##hiko +accompaniment +cruising +recycled +##aver +erwin +sorting +synthesizers +dyke +realities +strides +enslaved +wetland +##ghan +competence +gunpowder +grassy +maroon +reactors +objection +##oms +carlson +gearbox +macintosh +radios +shelton +##sho +clergyman +prakash +mongols +trophies +oricon +stimuli +twenty20 +cantonese +cortes +mirrored +##saurus +bhp +cristina +melancholy +##lating +enjoyable +nuevo +##wny +downfall +schumacher +##ind +banging +lausanne +rumbled +paramilitary +reflex +ax +amplitude +migratory +##gall +##ups +midi +barnard +lastly +sherry +##nall +keystone +##kra +carleton +slippery +coloring +foe +socket +otter +##rgos +mats +##tose +consultants +bafta +bison +topping +primal +abandonment +transplant +atoll +hideous +mort +pained +reproduced +tae +howling +##turn +unlawful +billionaire +hotter +poised +lansing +##chang +dinamo +retro +messing +domesday +##mina +blitz +timed +##athing +##kley +ascending +gesturing +##izations +signaled +tis +chinatown +mermaid +savanna +jameson +##aint +catalina +##pet +##hers +cochrane +cy +chatting +##kus +alerted +computation +mused +noelle +majestic +mohawk +campo +octagonal +##sant +##hend +aspiring +##mart +comprehend +iona +paralyzed +shimmering +swindon +rhone +##eley +reputed +configurations +pitchfork +agitation +francais +gillian +lipstick +##ilo +outsiders +pontifical +resisting +bitterness +sewer +rockies +##edd +##ucher +misleading +1756 +exiting +galloway +##nging +risked +##heart +commemoration +schultz +##rka +integrating +##rsa +poses +shrieked +##weiler +guineas +gladys +jerking +owls +goldsmith +nightly +penetrating +##unced +lia +ignited +betsy +##aring +##thorpe +follower +vigorously +##rave +coded +kiran +knit +zoology +tbilisi +##bered +repository +govt +deciduous +dino +growling +##bba +enhancement +unleashed +chanting +pussy +biochemistry +##eric +kettle +repression +toxicity +nrhp +##arth +##kko +##bush +ernesto +commended +outspoken +mca +parchment +kristen +##aton +bisexual +raked +glamour +navajo +conditioned +showcased +##hma +spacious +youthful +##esa +usl +appliances +junta +brest +layne +conglomerate +enchanted +chao +loosened +picasso +circulating +inspect +montevideo +##centric +##kti +piazza +spurred +##aith +bari +freedoms +poultry +stamford +lieu +indigo +sarcastic +bahia +stump +attach +dvds +frankenstein +lille +approx +scriptures +pollen +##script +nmi +overseen +##ivism +tides +proponent +newmarket +inherit +milling +##erland +centralized +##rou +distributors +credentials +drawers +abbreviation +##lco +downing +uncomfortably +ripe +##oes +erase +franchises +populace +##bery +##khar +decomposition +pleas +##tet +daryl +sabah +##wide +fearless +genie +lesions +annette +##ogist +oboe +appendix +nair +dripped +petitioned +maclean +mosquito +parrot +hampered +1648 +operatic +reservoirs +##tham +irrelevant +jolt +summarized +##fp +medallion +##taff +clawed +harlow +narrower +goddard +marcia +bodied +fremont +suarez +altering +tempest +mussolini +porn +##isms +sweetly +oversees +walkers +solitude +grimly +shrines +ich +supervisors +hostess +dietrich +legitimacy +brushes +expressive +##yp +dissipated +##rse +localized +systemic +##nikov +gettysburg +##uaries +dialogues +muttering +housekeeper +sicilian +discouraged +##frey +beamed +kaladin +halftime +kidnap +##amo +##llet +1754 +synonymous +depleted +instituto +insulin +reprised +##opsis +clashed +##ctric +interrupting +radcliffe +insisting +medici +1715 +ejected +playfully +turbulent +starvation +##rini +shipment +rebellious +petersen +verification +merits +##rified +cakes +##charged +1757 +milford +shortages +spying +fidelity +##aker +emitted +storylines +harvested +seismic +##iform +cheung +kilda +theoretically +barbie +lynx +##rgy +##tius +goblin +mata +poisonous +##nburg +reactive +residues +obedience +##евич +conjecture +##rac +hating +sixties +kicker +moaning +motown +##bha +emancipation +neoclassical +##hering +consoles +ebert +professorship +##tures +sustaining +assaults +obeyed +affluent +incurred +tornadoes +##eber +##zow +emphasizing +highlanders +cheated +helmets +##ctus +internship +terence +bony +executions +legislators +berries +peninsular +tinged +##aco +1689 +amplifier +corvette +ribbons +lavish +pennant +##lander +worthless +##chfield +##forms +mariano +pyrenees +expenditures +##icides +chesterfield +mandir +tailor +39th +sergey +nestled +willed +aristocracy +devotees +goodnight +raaf +rumored +weaponry +remy +appropriations +harcourt +burr +riaa +##lence +limitation +unnoticed +guo +soaking +swamps +##tica +collapsing +tatiana +descriptive +brigham +psalm +##chment +maddox +##lization +patti +caliph +##aja +akron +injuring +serra +##ganj +basins +##sari +astonished +launcher +##church +hilary +wilkins +sewing +##sf +stinging +##fia +##ncia +underwood +startup +compilations +vibrations +embankment +jurist +bard +juventus +groundwater +kern +palaces +helium +boca +cramped +marissa +soto +##worm +jae +princely +##ggy +faso +bazaar +warmly +##voking +pairing +##lite +##grate +##nets +wien +freaked +ulysses +rebirth +##alia +mummy +guzman +jimenez +stilled +##nitz +trajectory +tha +woken +archival +professions +##pts +##pta +hilly +shadowy +shrink +##bolt +norwood +glued +migrate +stereotypes +devoid +##pheus +evacuate +horrors +infancy +gotham +knowles +optic +downloaded +sachs +kingsley +parramatta +darryl +mor +##onale +shady +commence +confesses +kan +##meter +##placed +marlborough +roundabout +regents +frigates +##imating +gothenburg +revoked +carvings +clockwise +convertible +intruder +##sche +banged +##ogo +vicky +bourgeois +##mony +dupont +footing +##gum +##real +buckle +yun +penthouse +sane +serviced +stakeholders +neumann +##eers +comb +##gam +catchment +pinning +rallies +typing +##elles +forefront +freiburg +sweetie +giacomo +widowed +goodwill +worshipped +aspirations +midday +##vat +fishery +##trick +bournemouth +turk +hearth +ethanol +guadalajara +murmurs +sl +##uge +afforded +scripted +##hta +wah +##jn +coroner +translucent +memorials +puck +progresses +clumsy +##race +candace +recounted +##slin +##uve +filtering +##mac +howl +strata +heron +leveled +##ays +dubious +##oja +##wheel +citations +exhibiting +##laya +##mics +turkic +##lberg +injunction +##ennial +antibodies +organise +##rigues +cardiovascular +cushion +inverness +##zquez +dia +cocoa +sibling +##tman +##roid +expanse +feasible +tunisian +algiers +##relli +rus +dso +westphalia +bro +tacoma +downloads +##ours +konrad +duran +##hdi +continuum +jett +compares +legislator +secession +##nable +##gues +##zuka +translating +reacher +##gley +##ła +aleppo +##agi +orchards +trapping +linguist +versatile +drumming +postage +calhoun +superiors +##mx +barefoot +leary +##cis +ignacio +alfa +kaplan +##rogen +bratislava +mori +##vot +disturb +haas +cartridges +gilmore +radiated +salford +tunic +hades +##ulsive +archeological +delilah +magistrates +auditioned +brewster +charters +empowerment +blogs +cappella +dynasties +iroquois +whipping +##krishna +raceway +truths +myra +weaken +judah +mcgregor +##horse +mic +refueling +37th +burnley +bosses +markus +premio +query +##gga +dunbar +##economic +darkest +lyndon +sealing +commendation +reappeared +##mun +addicted +ezio +slaughtered +satisfactory +shuffle +##eves +##thic +##uj +fortification +warrington +##otto +resurrected +fargo +mane +##utable +##lei +foreword +ox +##aris +##vern +abrams +hua +##mento +sakura +##alo +sentimental +##skaya +midfield +##eses +sturdy +scrolls +macleod +##kyu +entropy +##lance +mitochondrial +cicero +excelled +thinner +convoys +perceive +##oslav +##urable +systematically +grind +burkina +##tagram +ops +##aman +guantanamo +##cloth +##tite +forcefully +wavy +##jou +pointless +##linger +##tze +layton +portico +superficial +clerical +outlaws +##hism +burials +muir +##inn +creditors +hauling +rattle +##leg +calais +monde +archers +reclaimed +dwell +wexford +hellenic +falsely +remorse +##tek +dough +furnishings +##uttered +gabon +neurological +novice +##igraphy +contemplated +pulpit +nightstand +saratoga +##istan +documenting +pulsing +taluk +##firmed +busted +marital +##rien +disagreements +wasps +##yes +hodge +mcdonnell +mimic +fran +pendant +dhabi +musa +##nington +congratulations +argent +darrell +concussion +losers +regrets +thessaloniki +reversal +donaldson +hardwood +thence +achilles +ritter +##eran +demonic +jurgen +prophets +goethe +eki +classmate +##cking +yank +irrational +##inging +perished +seductive +qur +sourced +##crat +##typic +mustard +ravine +barre +horizontally +characterization +phylogenetic +boise +##dit +##runner +##tower +brutally +intercourse +seduce +##bbing +fay +ferris +ogden +amar +nik +unarmed +##inator +evaluating +kyrgyzstan +sweetness +##lford +##oki +mccormick +meiji +notoriety +stimulate +disrupt +figuring +instructional +mcgrath +##zoo +groundbreaking +##lto +flinch +khorasan +agrarian +bengals +mixer +radiating +##sov +ingram +pitchers +nad +tariff +##cript +tata +##codes +##emi +##ungen +appellate +lehigh +##bled +##giri +brawl +duct +texans +##ciation +##ropolis +skipper +speculative +vomit +doctrines +stresses +davy +graders +whitehead +jozef +timely +cumulative +haryana +paints +appropriately +boon +cactus +##ales +##pid +dow +legions +##pit +perceptions +1730 +picturesque +##yse +periphery +rune +wr +##aha +celtics +sentencing +whoa +##erin +confirms +variance +moines +mathews +spade +rave +fronted +blending +alleging +reared +##paper +grassroots +eroded +##physical +directs +ordeal +##sław +accelerate +hacker +rooftop +##inia +lev +buys +cebu +devote +##lce +specialising +##ulsion +choreographed +repetition +warehouses +##ryl +paisley +tuscany +analogy +sorcerer +hash +huts +shards +descends +exclude +nix +chaplin +ito +vane +##drich +causeway +misconduct +limo +orchestrated +glands +jana +##kot +u2 +##sons +branching +contrasts +scoop +longed +##virus +chattanooga +syrup +cornerstone +##tized +##mind +##iaceae +careless +precedence +frescoes +##uet +chilled +consult +modelled +snatch +peat +##thermal +caucasian +humane +relaxation +spins +temperance +##lbert +occupations +lambda +hybrids +moons +##oese +rolf +societal +yerevan +ness +##ssler +befriended +mechanized +nominate +trough +boasted +cues +seater +##hom +bends +##tangle +conductors +emptiness +eurasian +adriatic +tian +##cie +anxiously +lark +propellers +chichester +jock +##holding +credible +recounts +tori +loyalist +abduction +##hoot +##redo +nepali +##mite +ventral +tempting +##ango +##crats +steered +##wice +javelin +dipping +laborers +prentice +looming +titanium +badges +emir +tensor +##ntation +egyptians +rash +denies +hawthorne +lombard +showers +wehrmacht +dietary +trojan +##reus +welles +executing +horseshoe +lifeboat +##lak +elsa +infirmary +nearing +roberta +boyer +mutter +trillion +joanne +##fine +##oked +sinks +vortex +uruguayan +clasp +sirius +##block +accelerator +prohibit +sunken +byu +chronological +diplomats +ochreous +symmetrical +1644 +maia +##tology +salts +reigns +atrocities +##ия +hess +bared +issn +##vyn +cater +saturated +##cycle +##isse +sable +voyager +dyer +yusuf +##inge +fountains +wolff +##nni +engraving +rollins +atheist +ominous +##ault +herr +chariot +martina +strung +##fell +##farlane +horrific +sahib +gazes +saetan +erased +ptolemy +##olic +flushing +lauderdale +analytic +##ices +navarro +beak +gorilla +herrera +broom +guadalupe +raiding +sykes +bsc +deliveries +1720 +invasions +carmichael +tajikistan +thematic +ecumenical +sentiments +onstage +##rians +##brand +##sume +catastrophic +flanks +molten +##arns +waller +aimee +terminating +##icing +alternately +##oche +nehru +printers +outraged +##eving +empires +template +banners +repetitive +za +##oise +vegetarian +##tell +guiana +opt +cavendish +lucknow +synthesized +##hani +##mada +finalized +##ctable +fictitious +mayoral +unreliable +##enham +embracing +peppers +rbis +##chio +##neo +inhibition +slashed +togo +orderly +embroidered +salty +barron +benito +totaled +##dak +pubs +simulated +caden +devin +tolkien +momma +welding +sesame +##ept +gottingen +hardness +shaman +temeraire +adequately +pediatric +assertion +radicals +composure +cadence +seafood +beaufort +lazarus +mani +warily +cunning +kurdistan +cantata +##kir +ares +##clusive +nape +townland +geared +insulted +flutter +boating +violate +draper +dumping +malmo +##hh +##romatic +firearm +alta +bono +obscured +##clave +exceeds +panorama +unbelievable +##train +preschool +##essed +disconnected +installing +rescuing +secretaries +accessibility +##castle +##ifice +##film +bouts +slug +waterway +mindanao +##buro +##ratic +halves +calming +liter +maternity +adorable +bragg +electrification +mcc +##dote +roxy +schizophrenia +munoz +kaye +whaling +mil +tingling +tolerant +##ago +unconventional +volcanoes +##finder +deportivo +##llie +robson +kaufman +neuroscience +wai +deportation +masovian +scraping +converse +##bh +hacking +bulge +##oun +administratively +yao +mammoth +booster +claremont +hooper +nomenclature +pursuits +mclaughlin +melinda +##sul +catfish +barclay +substrates +taxa +zee +kimberly +packets +padma +##ality +borrowing +ostensibly +solvent +##bri +##genesis +##mist +lukas +shreveport +veracruz +##lou +##wives +cheney +anatolia +hobbs +##zyn +cyclic +radiant +alistair +greenish +siena +dat +independents +##bation +conform +pieter +hyper +applicant +bradshaw +spores +telangana +vinci +inexpensive +nuclei +jang +nme +spd +cradled +receptionist +pow +##rika +fascism +##ifer +experimenting +##ading +##iec +##region +jocelyn +maris +stair +nocturnal +toro +constabulary +elgin +##kker +msc +##giving +##schen +##rase +doherty +doping +sarcastically +batter +maneuvers +##cano +##apple +##gai +##git +intrinsic +##nst +##stor +1753 +showtime +cafes +gasps +lviv +ushered +##thed +fours +restart +astonishment +transmitting +flyer +shrugs +##sau +intriguing +cones +dictated +mushrooms +medial +##kovsky +##elman +escorting +gaped +godfather +##door +##sell +djs +recaptured +timetable +vila +1710 +aerodrome +mortals +scientology +##orne +angelina +mag +convection +unpaid +insertion +intermittent +lego +##nated +endeavor +kota +pereira +##lz +bwv +glamorgan +insults +agatha +fey +##cend +fleetwood +mahogany +protruding +steamship +zeta +##arty +mcguire +suspense +##sphere +advising +urges +##wala +hurriedly +meteor +gilded +inline +arroyo +stalker +##oge +excitedly +revered +##cure +earle +introductory +##break +##ilde +mutants +puff +pulses +reinforcement +##haling +curses +lizards +stalk +correlated +##fixed +fallout +macquarie +##unas +bearded +denton +heaving +##ocation +winery +assign +dortmund +##lkirk +everest +invariant +charismatic +susie +##elling +bled +lesley +telegram +sumner +bk +##ogen +wilcox +needy +colbert +duval +##iferous +##mbled +allotted +attends +imperative +##hita +replacements +hawker +##inda +insurgency +##zee +##eke +casts +##yla +ives +transitioned +##pack +##powering +authoritative +baylor +flex +cringed +plaintiffs +woodrow +##skie +drastic +ape +aroma +unfolded +commotion +preoccupied +theta +routines +lasers +privatization +wand +domino +ek +clenching +nsa +strategically +showered +bile +handkerchief +pere +storing +christophe +insulting +nakamura +romani +asiatic +magdalena +palma +cruises +stripping +konstantin +soaring +##berman +colloquially +forerunner +havilland +incarcerated +parasites +sincerity +##utus +disks +plank +saigon +##ining +corbin +homo +ornaments +powerhouse +##tlement +chong +fastened +feasibility +idf +morphological +usable +##nish +##zuki +aqueduct +jaguars +keepers +##flies +aleksandr +faust +assigns +ewing +bacterium +hurled +tricky +hungarians +integers +wallis +yamaha +##isha +hushed +oblivion +aviator +evangelist +friars +##eller +monograph +ode +##nary +airplanes +labourers +charms +##nee +1661 +hagen +tnt +rudder +fiesta +transcript +dorothea +ska +inhibitor +maccabi +retorted +raining +encompassed +clauses +menacing +1642 +lineman +##gist +vamps +##dick +gloom +##rera +dealings +easing +seekers +##nut +##pment +helens +unmanned +##anu +##isson +basics +##amy +##ckman +adjustments +1688 +brutality +horne +##zell +##mable +aggregator +##thal +rhino +##drick +##vira +counters +##rting +mn +montenegrin +packard +##unciation +##♭ +##kki +reclaim +scholastic +thugs +pulsed +##icia +syriac +quan +saddam +banda +kobe +blaming +buddies +dissent +##lusion +##usia +corbett +jaya +delle +erratic +lexie +##hesis +amiga +hermes +##pressing +##leen +chapels +gospels +jamal +##uating +compute +revolving +warp +##sso +##thes +armory +##eras +##gol +antrim +loki +##kow +##asian +##good +##zano +braid +handwriting +subdistrict +funky +pantheon +##iculate +concurrency +estimation +improper +juliana +##his +newcomers +johnstone +staten +communicated +##oco +##alle +sausage +stormy +##stered +##tters +superfamily +##grade +acidic +collateral +tabloid +##oped +##rza +bladder +austen +##ellant +mcgraw +##hay +hannibal +mein +aquino +lucifer +wo +badger +boar +cher +christensen +greenberg +interruption +##kken +jem +mocked +bottoms +cambridgeshire +##lide +sprawling +##bbly +eastwood +ghent +synth +##buck +advisers +##bah +nominally +hapoel +qu +daggers +estranged +fabricated +towels +vinnie +wcw +misunderstanding +anglia +nothin +unmistakable +##dust +##lova +chilly +marquette +truss +##edge +##erine +reece +##lty +##chemist +##connected +41st +bash +raion +waterfalls +##ump +##main +labyrinth +queue +theorist +##istle +bharatiya +flexed +soundtracks +rooney +leftist +patrolling +wharton +plainly +alleviate +eastman +schuster +topographic +engages +immensely +unbearable +fairchild +1620 +dona +lurking +parisian +oliveira +ia +indictment +hahn +bangladeshi +##aster +##uming +##ential +antonia +expects +indoors +kildare +harlan +##logue +##ogenic +##sities +forgiven +##wat +childish +tavi +##mide +##orra +plausible +grimm +successively +scooted +##bola +##rith +spartans +emery +flatly +epilogue +##wark +flourish +##iny +##tracted +##overs +##oshi +bestseller +distressed +receipt +spitting +hermit +topological +##cot +drilled +subunit +francs +##layer +eel +##fk +##itas +octopus +footprint +petitions +##say +##foil +interfering +leaking +palo +##metry +thistle +valiant +##pic +narayan +mcpherson +##fast +gonzales +##enne +dustin +novgorod +solos +##zman +doin +##patient +##meyer +soluble +ashland +cuffs +carole +pendleton +whistling +vassal +##river +deviation +revisited +constituents +rallied +rotate +loomed +##eil +##nting +amateurs +augsburg +auschwitz +crowns +skeletons +##cona +bonnet +dummy +globalization +simeon +sleeper +mandal +differentiated +##crow +##mare +milne +bundled +exasperated +talmud +owes +segregated +##feng +##uary +dentist +piracy +props +##rang +devlin +##torium +malicious +paws +##laid +dependency +##ergy +##fers +##enna +pistons +rourke +jed +grammatical +tres +maha +wig +ghostly +jayne +##achal +##creen +##ilis +##lins +designate +##with +arrogance +cambodian +clones +showdown +throttle +twain +##ception +lobes +metz +nagoya +braking +##furt +roaming +##minster +amin +crippled +##llary +indifferent +hoffmann +idols +intimidating +1751 +influenza +memo +onions +1748 +bandage +consciously +##landa +##rage +clandestine +observes +swiped +tangle +##ener +##jected +##trum +##bill +##lta +hugs +congresses +josiah +spirited +##dek +humanist +managerial +filmmaking +inmate +rhymes +debuting +grimsby +ur +##laze +duplicate +vigor +republished +bolshevik +refurbishment +antibiotics +martini +methane +newscasts +royale +horizons +levant +iain +visas +##ischen +paler +##around +manifestation +snuck +alf +chop +futile +pedestal +rehab +##kat +bmg +kerman +res +fairbanks +jarrett +abstraction +saharan +##zek +1746 +procedural +clearer +kincaid +sash +luciano +##ffey +crunch +helmut +##vara +revolutionaries +##tute +creamy +leach +##mmon +1747 +permitting +nes +plight +wendell +##lese +contra +clancy +ipa +mach +staples +autopsy +disturbances +nueva +karin +pontiac +##uding +proxy +venerable +haunt +leto +bergman +expands +##helm +wal +##pipe +canning +celine +cords +obesity +##enary +intrusion +planner +##phate +reasoned +sequencing +harrow +##chon +##dora +marred +mcintyre +repay +tarzan +darting +harrisburg +margarita +repulsed +##lding +belinda +hamburger +novo +compliant +runways +bingham +registrar +skyscraper +cuthbert +improvisation +livelihood +##corp +##elial +admiring +##dened +sporadic +believer +casablanca +popcorn +asha +shovel +##bek +##dice +coiled +tangible +##dez +casper +elsie +resin +tenderness +rectory +##ivision +avail +sonar +##mori +boutique +##dier +guerre +bathed +upbringing +vaulted +sandals +blessings +##naut +##utnant +1680 +foxes +pia +corrosion +hesitantly +confederates +crystalline +footprints +shapiro +tirana +valentin +drones +45th +microscope +shipments +texted +inquisition +wry +guernsey +unauthorized +resigning +ripple +schubert +stu +reassure +felony +##ardo +brittle +koreans +##havan +##ives +dun +implicit +tyres +##aldi +##lth +magnolia +##ehan +##puri +##poulos +aggressively +fei +gr +familiarity +##poo +indicative +##trust +fundamentally +jimmie +overrun +anchors +moans +##opus +britannia +armagh +purposely +seizing +##vao +bewildered +mundane +avoidance +cosmopolitan +geometridae +quartermaster +caf +chatter +engulfed +gleam +purge +##icate +juliette +jurisprudence +guerra +revisions +##bn +casimir +brew +##jm +1749 +clapton +cloudy +conde +hermitage +simulations +torches +vincenzo +matteo +##rill +hidalgo +booming +westbound +accomplishment +tentacles +unaffected +##sius +annabelle +flopped +sloping +##litz +dreamer +interceptor +vu +##loh +consecration +copying +messaging +breaker +climates +hospitalized +1752 +torino +afternoons +winfield +witnessing +##teacher +breakers +choirs +sawmill +coldly +##ege +sipping +haste +uninhabited +conical +bibliography +pamphlets +severn +edict +##oca +deux +illnesses +grips +rehearsals +sis +thinkers +tame +##keepers +1690 +acacia +reformer +##osed +##rys +shuffling +##iring +##shima +eastbound +ionic +rhea +flees +littered +##oum +rocker +vomiting +groaning +champ +overwhelmingly +civilizations +paces +sloop +adoptive +##tish +skaters +##vres +aiding +nikola +shriek +##ignon +pharmaceuticals +tuna +calvert +gustavo +stocked +yearbook +##urai +##mana +computed +subsp +riff +hanoi +kelvin +hamid +moors +pastures +summons +jihad +nectar +##ctors +bayou +untitled +pleasing +vastly +republics +intellect +##ulio +##tou +crumbling +stylistic +##ی +consolation +frequented +h₂o +walden +widows +##iens +##ignment +chunks +improves +grit +recited +##dev +snarl +sociological +##arte +##gul +inquired +##held +bruise +clube +consultancy +homogeneous +hornets +multiplication +pasta +prick +savior +##grin +##kou +##phile +yoon +##gara +grimes +vanishing +cheering +reacting +bn +distillery +##quisite +##vity +coe +dockyard +massif +##jord +escorts +voss +##valent +byte +chopped +hawke +illusions +workings +floats +##koto +##vac +kv +annapolis +madden +##onus +alvaro +noctuidae +##cum +##scopic +avenge +steamboat +forte +illustrates +erika +##trip +dew +nationalities +bran +manifested +thirsty +diversified +muscled +reborn +##standing +arson +##lessness +##dran +##logram +##boys +##kushima +##vious +willoughby +##phobia +alsace +dashboard +yuki +##chai +granville +myspace +publicized +tricked +##gang +adjective +##ater +relic +reorganisation +enthusiastically +indications +saxe +##lassified +consolidate +iec +padua +helplessly +ramps +renaming +regulars +pedestrians +accents +convicts +inaccurate +lowers +mana +##pati +barrie +bjp +outta +someplace +berwick +flanking +invoked +marrow +sparsely +excerpts +clothed +rei +##ginal +wept +##straße +##vish +##ptive +membranes +aquitaine +creeks +cutler +sheppard +implementations +##dur +fragrance +budge +concordia +magnesium +marcelo +##antes +gladly +vibrating +##rral +##ggles +montrose +##omba +lew +seamus +1630 +cocky +##ament +##uen +bjorn +##rrick +fielder +fluttering +##lase +methyl +kimberley +mcdowell +reductions +barbed +##jic +##tonic +aeronautical +condensed +distracting +##promising +huffed +##cala +##sle +claudius +invincible +missy +pious +balthazar +##lang +butte +combo +orson +##dication +myriad +1707 +silenced +##fed +##rh +netball +yourselves +##oza +clarify +heller +peg +durban +etudes +offender +roast +blackmail +curvature +##woods +vile +illicit +suriname +##linson +overture +1685 +bubbling +gymnast +tucking +##mming +##ouin +maldives +##bala +gurney +##dda +##eased +##oides +backside +pinto +jars +racehorse +tending +##rdial +baronetcy +wiener +duly +##rke +barbarian +cupping +flawed +##thesis +bertha +pleistocene +puddle +swearing +##nob +##tically +fleeting +prostate +amulet +educating +##mined +##tler +75th +jens +respondents +cavaliers +papacy +raju +##iente +##ulum +##tip +funnel +disneyland +##lley +sociologist +##iam +faulkner +louvre +menon +##dson +##ower +afterlife +mannheim +peptide +referees +comedians +meaningless +##anger +##laise +fabrics +hurley +renal +sleeps +##bour +##icle +breakout +kristin +roadside +animator +clover +disdain +unsafe +redesign +##urity +firth +barnsley +portage +reset +narrows +commandos +expansive +speechless +tubular +essendon +eyelashes +smashwords +##yad +##bang +##claim +craved +sprinted +chet +somme +astor +wrocław +orton +bane +##erving +##uing +mischief +##amps +##sund +scaling +terre +##xious +impairment +offenses +undermine +moi +soy +contiguous +arcadia +inuit +seam +##tops +macbeth +rebelled +##icative +##iot +elaborated +frs +uniformed +##dberg +powerless +priscilla +stimulated +qc +arboretum +frustrating +trieste +bullock +##nified +enriched +glistening +intern +##adia +locus +nouvelle +ollie +ike +lash +starboard +tapestry +headlined +hove +rigged +##vite +pollock +##yme +thrive +clustered +cas +roi +gleamed +olympiad +##lino +pressured +regimes +##hosis +##lick +ripley +##ophone +kickoff +gallon +rockwell +##arable +crusader +glue +revolutions +scrambling +1714 +grover +##jure +englishman +aztec +contemplating +coven +preach +triumphant +tufts +##esian +rotational +##phus +falkland +##brates +strewn +clarissa +rejoin +environmentally +glint +banded +drenched +moat +albanians +johor +rr +maestro +malley +nouveau +shaded +taxonomy +adhere +bunk +airfields +##ritan +1741 +encompass +remington +tran +##erative +amelie +mazda +friar +morals +passions +##zai +breadth +vis +##hae +argus +burnham +caressing +insider +rudd +##imov +##rso +italianate +murderous +textual +wainwright +armada +bam +weave +timer +##taken +##nh +fra +##crest +ardent +salazar +taps +tunis +##ntino +allegro +gland +philanthropic +##chester +implication +##optera +esq +judas +noticeably +wynn +##dara +inched +indexed +crises +villiers +bandit +royalties +patterned +cupboard +interspersed +accessory +isla +kendrick +entourage +stitches +##esthesia +headwaters +##ior +interlude +distraught +draught +1727 +##basket +biased +sy +transient +triad +subgenus +adapting +kidd +shortstop +##umatic +dimly +spiked +mcleod +reprint +nellie +pretoria +windmill +##cek +singled +##mps +reunite +##orous +bankers +outlying +##omp +##ports +##tream +apologies +cosmetics +patsy +##deh +##ocks +##yson +bender +nantes +serene +##nad +lucha +mmm +##cius +##gli +cmll +coinage +nestor +juarez +##rook +smeared +sprayed +twitching +sterile +irina +embodied +juveniles +enveloped +miscellaneous +cancers +dq +gulped +luisa +crested +swat +donegal +ref +##anov +##acker +hearst +mercantile +##lika +doorbell +vicki +##alla +##som +bilbao +psychologists +stryker +sw +horsemen +turkmenistan +wits +##national +anson +mathew +screenings +##umb +rihanna +##agne +##nessy +aisles +##iani +##osphere +hines +kenton +saskatoon +tasha +truncated +##champ +##itan +mildred +advises +fredrik +interpreting +inhibitors +##athi +spectroscopy +##hab +##kong +karim +panda +##oia +##nail +conqueror +kgb +leukemia +##dity +arrivals +cheered +pisa +phosphorus +shielded +##riated +mammal +unitarian +urgently +chopin +sanitary +##mission +spicy +drugged +hinges +##tort +tipping +trier +impoverished +westchester +##caster +epoch +nonstop +##gman +##khov +aromatic +centrally +cerro +##tively +##vio +billions +modulation +sedimentary +facilitating +outrageous +goldstein +##eak +##kt +ld +maitland +penultimate +pollard +##dance +fleets +spaceship +vertebrae +##nig +alcoholism +als +recital +##bham +##omics +##bm +trois +##tropical +commemorates +##meric +marge +##raction +1643 +cosmetic +ravaged +##ige +catastrophe +eng +##shida +albrecht +arterial +bellamy +decor +harmon +##rde +bulbs +synchronized +vito +easiest +shetland +shielding +wnba +##glers +##ssar +##riam +brianna +cumbria +##aceous +##rard +cores +thayer +##nsk +brood +hilltop +luminous +carts +keynote +larkin +logos +##cta +##mund +##quay +lilith +tinted +wrestle +mobilization +##uses +sequential +siam +bloomfield +takahashi +##ieving +presenters +ringo +blazed +witty +##oven +##ignant +devastation +haydn +harmed +newt +therese +##peed +gershwin +molina +rabbis +sudanese +innate +restarted +##sack +##fus +slices +wb +##shah +enroll +hypothetical +hysterical +1743 +fabio +indefinite +warped +exchanging +unsuitable +##sboro +gallo +1603 +bret +cobalt +homemade +##hunter +operatives +##dhar +terraces +durable +latch +pens +whorls +##ctuated +##eaux +billing +ligament +succumbed +##gly +regulators +spawn +##brick +##stead +filmfare +rochelle +##nzo +1725 +circumstance +saber +supplements +##nsky +##tson +crowe +wellesley +carrot +##9th +##movable +primate +drury +sincerely +topical +##mad +##rao +callahan +kyiv +smarter +tits +undo +##yeh +announcements +anthologies +barrio +nebula +##islaus +##shaft +##tyn +bodyguards +assassinate +barns +emmett +scully +##yd +##eland +##tino +##itarian +demoted +gorman +lashed +prized +adventist +writ +##gui +alla +invertebrates +##ausen +1641 +amman +1742 +align +healy +redistribution +##gf +##rize +insulation +##drop +adherents +hezbollah +vitro +ferns +yanking +registering +uppsala +cheerleading +confines +mischievous +tully +##ross +49th +docked +roam +stipulated +pumpkin +##bry +prompt +##ezer +blindly +shuddering +craftsmen +frail +scented +katharine +scramble +shaggy +sponge +helix +zaragoza +43rd +backlash +fontaine +seizures +posse +cowan +nonfiction +telenovela +wwii +hammered +undone +##gpur +encircled +irs +##ivation +artefacts +oneself +searing +smallpox +##belle +##osaurus +shandong +breached +upland +blushing +rankin +infinitely +psyche +tolerated +docking +evicted +##col +unmarked +##lving +gnome +lettering +litres +musique +##oint +benevolent +##jal +blackened +##anna +mccall +racers +tingle +##ocene +##orestation +introductions +radically +##hiff +##باد +1610 +1739 +munchen +plead +##nka +condo +scissors +##sight +##tens +apprehension +##cey +##yin +hallmark +watering +formulas +sequels +##llas +aggravated +bae +commencing +##building +enfield +prohibits +marne +vedic +civilized +euclidean +jagger +beforehand +blasts +dumont +##arney +##nem +conversions +hierarchical +rios +simulator +##dya +##lellan +hedges +oleg +thrusts +shadowed +darby +maximize +1744 +gregorian +##nded +##routed +sham +unspecified +##hog +emory +factual +##smo +fooled +##rger +ortega +wellness +marlon +##oton +##urance +casket +keating +ley +enclave +##ayan +char +influencing +jia +##chenko +ammonia +erebidae +incompatible +violins +cornered +##arat +grooves +astronauts +columbian +rampant +fabrication +kyushu +mahmud +vanish +##dern +mesopotamia +##lete +##rgen +caspian +kenji +pitted +##vered +grimace +roanoke +tchaikovsky +twinned +##analysis +##awan +xinjiang +arias +clemson +kazakh +sizable +1662 +##khand +##vard +plunge +tatum +vittorio +##nden +cholera +##dana +bracing +indifference +projectile +superliga +##chee +realises +upgrading +porte +retribution +##vies +nk +stil +##resses +ama +bureaucracy +blackberry +bosch +testosterone +collapses +greer +##pathic +ioc +fifties +malls +##erved +bao +baskets +adolescents +siegfried +##osity +##tosis +mantra +detecting +existent +fledgling +##cchi +dissatisfied +gan +telecommunication +mingled +sobbed +controversies +outdated +taxis +##raus +fright +slams +##lham +##fect +##tten +detectors +fetal +tanned +##uw +fray +goth +olympian +skipping +mandates +scratches +sheng +unspoken +hyundai +tracey +hotspur +restrictive +##buch +americana +mundo +##bari +burroughs +diva +vulcan +##6th +distinctions +thumping +##ngen +mikey +sheds +fide +rescues +springsteen +vested +valuation +##ece +##ely +pinnacle +rake +sylvie +##edo +almond +quivering +##irus +alteration +faltered +##wad +51st +hydra +ticked +##kato +recommends +##dicated +antigua +arjun +stagecoach +wilfred +trickle +pronouns +##pon +aryan +nighttime +##anian +gall +pea +stitch +##hei +leung +milos +##dini +eritrea +starved +snowfall +kant +parasitic +cot +discus +hana +strikers +appleton +kitchens +##erina +##partisan +##itha +##vius +disclose +metis +##channel +1701 +##vera +fitch +1735 +blooded +##tila +decimal +##tang +##bai +cyclones +eun +bottled +peas +pensacola +basha +bolivian +crabs +boil +lanterns +partridge +roofed +1645 +necks +##phila +opined +patting +##kla +##lland +chuckles +volta +whereupon +##nche +devout +euroleague +suicidal +##dee +inherently +involuntary +knitting +nasser +##hide +puppets +colourful +courageous +southend +stills +miraculous +hodgson +richer +rochdale +ethernet +greta +uniting +prism +umm +##haya +##itical +##utation +deterioration +pointe +prowess +##ropriation +lids +scranton +billings +subcontinent +##koff +##scope +brute +kellogg +psalms +degraded +##vez +stanisław +##ructured +ferreira +pun +astonishing +gunnar +##yat +arya +prc +gottfried +##tight +excursion +##ographer +dina +##quil +##nare +huffington +illustrious +wilbur +verandah +##zard +naacp +##odle +constructive +fjord +kade +##naud +generosity +thrilling +baseline +cayman +frankish +plastics +accommodations +zoological +##fting +cedric +qb +motorized +##dome +##otted +squealed +tackled +canucks +budgets +situ +asthma +dail +gabled +grasslands +whimpered +writhing +judgments +minnie +##carbon +bananas +grille +domes +monique +odin +maguire +markham +tierney +##estra +##chua +libel +poke +speedy +atrium +laval +notwithstanding +##edly +fai +kala +##sur +robb +##sma +listings +luz +supplementary +tianjin +##acing +enzo +jd +ric +scanner +croats +transcribed +arden +##hair +##raphy +##lver +seventies +staggering +alam +horticultural +hs +regression +timbers +blasting +##ounded +montagu +manipulating +##cit +catalytic +1550 +troopers +##meo +condemnation +fitzpatrick +##oire +##roved +inexperienced +1670 +castes +##lative +outing +dubois +flicking +quarrel +ste +learners +1625 +whistled +##class +classify +tariffs +temperament +folly +liszt +##yles +immersed +jordanian +ceasefire +apparel +extras +maru +fished +##bio +harta +stockport +assortment +craftsman +paralysis +transmitters +##cola +blindness +##wk +fatally +proficiency +solemnly +##orno +repairing +amore +groceries +ultraviolet +##chase +schoolhouse +##tua +resurgence +nailed +##otype +ruse +saliva +diagrams +##tructing +albans +rann +thirties +antennas +hilarious +cougars +paddington +stats +##eger +breakaway +reza +authorship +prohibiting +scoffed +##etz +##ttle +conscription +defected +trondheim +##fires +ivanov +keenan +##adan +##ciful +##fb +##slow +locating +##ials +##tford +cadiz +basalt +blankly +interned +rags +rattling +##tick +carpathian +reassured +bum +guildford +iss +staunch +##onga +astronomers +sera +sofie +emergencies +susquehanna +##heard +duc +mastery +vh1 +williamsburg +bayer +buckled +craving +##khan +##rdes +bloomington +##write +alton +barbecue +##bians +justine +##hri +##ndt +delightful +smartphone +newtown +photon +retrieval +peugeot +hissing +##monium +##orough +flavors +lighted +relaunched +tainted +##games +##lysis +anarchy +microscopic +hopping +adept +evade +evie +##beau +inhibit +sinn +adjustable +hurst +intuition +wilton +44th +lawful +lowlands +stockings +thierry +##dalen +##hila +##nai +fates +prank +maison +lobbied +provocative +1724 +utopia +##qual +carbonate +gujarati +purcell +##rford +curtiss +##mei +overgrown +arenas +mediation +swallows +##rnik +respectful +turnbull +##hedron +##hope +alyssa +ozone +##ʻi +ami +gestapo +johansson +snooker +canteen +cuff +declines +empathy +stigma +##ags +##raine +taxpayers +volga +##wright +##copic +lifespan +overcame +tattooed +enactment +giggles +##ador +##camp +barrington +bribe +obligatory +orbiting +peng +##enas +elusive +sucker +##vating +cong +hardship +empowered +anticipating +estrada +cryptic +greasy +detainees +planck +sudbury +plaid +dod +kayla +##ears +##vb +##zd +mortally +##hein +cognition +radha +liechtenstein +meade +richly +argyle +harpsichord +liberalism +trumpets +lauded +tyrant +salsa +tiled +lear +promoters +reused +slicing +trident +##chuk +##gami +##lka +cantor +checkpoint +##points +gaul +leger +mammalian +##tov +##aar +##schaft +doha +frenchman +nirvana +##vino +delgado +headlining +##eron +##iography +jug +tko +1649 +naga +intersections +benfica +nawab +##suka +ashford +gulp +##deck +##vill +##rug +brentford +frazier +pleasures +dunne +potsdam +shenzhen +dentistry +##tec +flanagan +##dorff +##hear +chorale +dinah +prem +quezon +##rogated +relinquished +sutra +terri +##pani +flaps +##rissa +poly +##rnet +homme +aback +##eki +linger +womb +##kson +##lewood +doorstep +orthodoxy +threaded +westfield +##rval +dioceses +fridays +subsided +##gata +loyalists +##biotic +##ettes +letterman +lunatic +prelate +tenderly +invariably +souza +thug +winslow +##otide +furlongs +gogh +jeopardy +##runa +pegasus +##umble +humiliated +standalone +tagged +##roller +freshmen +klan +##bright +attaining +initiating +transatlantic +logged +viz +##uance +1723 +combatants +intervening +stephane +chieftain +despised +grazed +cdc +galveston +godzilla +macro +simulate +##planes +parades +##esses +##ductive +##unes +equator +overdose +##cans +##hosh +##lifting +joshi +epstein +sonora +treacherous +aquatics +manchu +responsive +##sation +supervisory +##christ +##llins +##ibar +##balance +##uso +kimball +karlsruhe +mab +##emy +ignores +phonetic +spaghetti +almighty +danzig +rumbling +tombstone +designations +lured +outset +##felt +supermarkets +grupo +kei +kraft +susanna +##blood +comprehension +genealogy +##aghan +##verted +redding +##ythe +1722 +bowing +##pore +##roi +lest +sharpened +fulbright +valkyrie +sikhs +##unds +swans +bouquet +merritt +##tage +##venting +commuted +redhead +clerks +leasing +cesare +dea +hazy +##vances +fledged +greenfield +servicemen +##gical +armando +blackout +sagged +downloadable +intra +potion +pods +##4th +##mism +attendants +gambia +stale +##ntine +plump +asteroids +rediscovered +buds +flea +hive +##neas +1737 +classifications +debuts +##eles +olympus +scala +##eurs +##gno +##mute +hummed +sigismund +visuals +wiggled +await +pilasters +clench +sulfate +##ances +bellevue +enigma +trainee +snort +##sw +clouded +denim +##rank +churning +hartman +lodges +riches +sima +##missible +accountable +socrates +regulates +mueller +1702 +avoids +solids +himalayas +nutrient +pup +##jevic +squat +fades +nec +##lates +##pina +##rona +##ου +privateer +tequila +##gative +##mpton +hornet +immortals +##dou +asturias +cleansing +dario +##rries +##anta +etymology +servicing +zhejiang +##venor +##nx +horned +erasmus +rayon +relocating +£10 +##bags +escalated +promenade +stubble +2010s +artisans +axial +liquids +mora +sho +yoo +##tsky +bundles +oldies +##nally +notification +bastion +##ths +sparkle +##lved +1728 +leash +pathogen +highs +##hmi +immature +gonzaga +ignatius +mansions +monterrey +sweets +bryson +##loe +polled +regatta +brightest +pei +rosy +squid +hatfield +payroll +addict +meath +cornerback +heaviest +lodging +##mage +capcom +rippled +##sily +barnet +mayhem +ymca +snuggled +rousseau +##cute +blanchard +fragmented +leighton +chromosomes +risking +##strel +##utter +corinne +coyotes +cynical +hiroshi +yeomanry +##ractive +ebook +grading +mandela +plume +agustin +magdalene +##rkin +bea +femme +trafford +##coll +##lun +##tance +52nd +fourier +upton +##mental +camilla +gust +iihf +islamabad +longevity +##kala +feldman +netting +##rization +endeavour +foraging +mfa +orr +##open +greyish +contradiction +graz +##ruff +handicapped +marlene +tweed +oaxaca +spp +campos +miocene +pri +configured +cooks +pluto +cozy +pornographic +##entes +70th +fairness +glided +jonny +lynne +rounding +sired +##emon +##nist +remade +uncover +##mack +complied +lei +newsweek +##jured +##parts +##enting +##pg +finer +guerrillas +athenian +deng +disused +stepmother +accuse +gingerly +seduction +confronting +##going +gora +nostalgia +sabres +virginity +wrenched +##minated +syndication +wielding +eyre +##gnon +##igny +behaved +taxpayer +sweeps +##growth +childless +gallant +##ywood +amplified +geraldine +scrape +##ffi +babylonian +fresco +##rdan +##kney +##position +1718 +restricting +tack +fukuoka +osborn +selector +partnering +##dlow +kia +tak +whitley +gables +##mania +mri +softness +immersion +##bots +##evsky +1713 +chilling +insignificant +pcs +##uis +elites +lina +purported +supplemental +teaming +##americana +##dding +##inton +proficient +rouen +##nage +##rret +niccolo +selects +##bread +fluffy +1621 +gruff +knotted +mukherjee +polgara +thrash +nicholls +secluded +smoothing +thru +corsica +loaf +whitaker +inquiries +##rrier +##kam +indochina +marlins +myles +peking +##tea +extracts +pastry +superhuman +connacht +vogel +##ditional +##het +##udged +##lash +gloss +quarries +refit +teaser +##alic +##gaon +20s +materialized +sling +camped +pickering +tung +tracker +pursuant +##cide +cranes +##cini +##typical +##viere +anhalt +overboard +workout +chores +fares +orphaned +stains +##logie +fenton +surpassing +joyah +triggers +##itte +grandmaster +##lass +##lists +clapping +fraudulent +ledger +nagasaki +##cor +##nosis +##tsa +eucalyptus +tun +##icio +##rney +##tara +dax +heroism +ina +wrexham +onboard +unsigned +##dates +moshe +galley +winnie +droplets +exiles +praises +watered +noodles +##aia +fein +leland +multicultural +stink +bingo +comets +erskine +modernized +canned +constraint +domestically +chemotherapy +featherweight +stifled +##mum +darkly +irresistible +refreshing +hasty +isolate +##oys +kitchener +planners +##wehr +cages +yarn +implant +toulon +elects +childbirth +yue +##lind +rightful +sportsman +junctions +remodeled +specifies +##rgh +##oons +complimented +##urgent +lister +ot +##logic +bequeathed +cheekbones +fontana +gabby +##dial +amadeus +corrugated +maverick +resented +triangles +##hered +##usly +nazareth +tyrol +1675 +assent +poorer +sectional +aegean +##cous +nylon +ghanaian +##egorical +##weig +cushions +forbid +fusiliers +obstruction +somerville +##scia +dime +earrings +elliptical +leyte +oder +polymers +timmy +midtown +piloted +settles +continual +externally +mayfield +##uh +enrichment +henson +keane +persians +1733 +benji +braden +pep +##efe +contenders +pepsi +valet +##isches +##asse +##earing +goofy +stroll +##amen +authoritarian +occurrences +adversary +ahmedabad +tangent +toppled +dorchester +1672 +modernism +marxism +islamist +charlemagne +exponential +racks +brunette +pic +skirmish +##bund +##lad +##powered +##yst +hoisted +messina +shatter +##ctum +jedi +vantage +##music +##neil +clemens +mahmoud +corrupted +authentication +lowry +nils +##washed +omnibus +wounding +jillian +##itors +##opped +serialized +narcotics +handheld +##arm +##plicity +intersecting +stimulating +##onis +crate +fellowships +hemingway +casinos +climatic +fordham +copeland +drip +beatty +leaflets +robber +brothel +madeira +##hedral +sphinx +ultrasound +##vana +valor +forbade +leonid +villas +##aldo +duane +marquez +##cytes +disadvantaged +forearms +kawasaki +reacts +consular +lax +uncles +uphold +##hopper +concepcion +dorsey +lass +##izan +arching +passageway +1708 +researches +tia +internationals +##graphs +##opers +distinguishes +javanese +divert +##uven +plotted +##listic +##rwin +##erik +##tify +affirmative +signifies +validation +##bson +kari +felicity +georgina +zulu +##eros +##rained +##rath +overcoming +argyll +##rbin +1734 +chiba +ratification +windy +earls +parapet +##marks +hunan +pristine +astrid +punta +##gart +brodie +##kota +##oder +malaga +minerva +rouse +##phonic +bellowed +pagoda +portals +reclamation +##gur +##odies +##⁄₄ +parentheses +quoting +allergic +palette +showcases +benefactor +heartland +nonlinear +##tness +bladed +cheerfully +scans +##ety +1666 +girlfriends +pedersen +hiram +sous +##liche +##nator +1683 +##nery +##orio +##umen +bobo +primaries +smiley +##cb +unearthed +uniformly +fis +metadata +1635 +ind +##oted +recoil +##titles +##tura +##ια +hilbert +jamestown +mcmillan +tulane +seychelles +##frid +antics +coli +fated +stucco +##grants +1654 +bulky +accolades +arrays +caledonian +carnage +optimism +puebla +##tative +##cave +enforcing +rotherham +dunlop +aeronautics +chimed +incline +zoning +archduke +hellenistic +##oses +##sions +candi +thong +##ople +magnate +rustic +##rsk +projective +slant +##offs +danes +hollis +vocalists +##ammed +congenital +contend +gesellschaft +##ocating +##pressive +douglass +quieter +##kshi +howled +salim +spontaneously +townsville +buena +southport +##bold +kato +1638 +faerie +stiffly +##vus +##rled +flawless +realising +taboo +##7th +straightening +jena +##hid +cartwright +berber +bertram +soloists +noses +coping +fission +hardin +inca +##cen +1717 +mobilized +vhf +##raf +biscuits +curate +##anial +gaunt +neighbourhoods +1540 +##abas +blanca +bypassed +sockets +behold +coincidentally +##bane +nara +shave +splinter +terrific +##arion +##erian +commonplace +juris +redwood +waistband +boxed +caitlin +fingerprints +jennie +naturalized +##ired +balfour +craters +jody +bungalow +hugely +quilt +glitter +pigeons +undertaker +bulging +constrained +##sil +##akh +assimilation +reworked +##person +persuasion +##pants +felicia +##cliff +##ulent +1732 +explodes +##dun +##inium +##zic +lyman +vulture +hog +overlook +begs +northwards +ow +spoil +##urer +fatima +favorably +accumulate +sargent +sorority +corresponded +dispersal +kochi +toned +##imi +##lita +internacional +newfound +##agger +##lynn +##rigue +booths +peanuts +##eborg +medicare +muriel +nur +##uram +crates +millennia +pajamas +worsened +##breakers +jimi +vanuatu +yawned +##udeau +carousel +##hony +hurdle +##ccus +##mounted +##pod +rv +##eche +airship +ambiguity +compulsion +recapture +##claiming +arthritis +##osomal +1667 +asserting +ngc +sniffing +dade +discontent +glendale +ported +##amina +defamation +rammed +##scent +fling +livingstone +##fleet +875 +apocalyptic +comrade +##lowe +cessna +eine +persecuted +subsistence +demi +hoop +reliefs +coptic +progressing +stemmed +perpetrators +1665 +priestess +##nio +dobson +ebony +rooster +itf +tortricidae +##bbon +##jian +cleanup +##jean +##øy +1721 +eighties +taxonomic +holiness +##hearted +##spar +antilles +showcasing +stabilized +##nb +gia +mascara +michelangelo +dawned +##uria +##vinsky +extinguished +fitz +grotesque +£100 +##fera +##loid +##mous +barges +neue +throbbed +cipher +johnnie +##mpt +outburst +##swick +spearheaded +administrations +heartbreak +pixels +pleasantly +##enay +lombardy +plush +##nsed +bobbie +##hly +reapers +tremor +xiang +minogue +substantive +hitch +barak +##wyl +kwan +##encia +910 +obscene +elegance +indus +surfer +bribery +conserve +##hyllum +##masters +horatio +##fat +apes +rebound +psychotic +##pour +iteration +##mium +##vani +botanic +horribly +antiques +dispose +paxton +##hli +##wg +timeless +1704 +disregard +engraver +hounds +##bau +##version +looted +uno +facilitates +groans +masjid +rutland +antibody +disqualification +decatur +footballers +quake +slacks +48th +rein +scribe +stabilize +commits +exemplary +tho +##hort +##chison +pantry +traversed +##hiti +disrepair +identifiable +vibrated +baccalaureate +csa +interviewing +##iensis +##raße +greaves +wealthiest +classed +jogged +£5 +##atal +illuminating +knicks +respecting +##uno +scrubbed +##iji +##dles +kruger +moods +growls +raider +silvia +chefs +kam +cree +percival +##terol +gunter +counterattack +defiant +henan +ze +##rasia +##riety +equivalence +submissions +##fra +##thor +bautista +mechanically +##heater +cornice +herbal +templar +##mering +outputs +ruining +ligand +renumbered +extravagant +mika +blockbuster +eta +insurrection +##ilia +darkening +ferocious +pianos +strife +kinship +##aer +melee +##anor +##iste +##oue +decidedly +weep +##jad +##missive +##ppel +puget +unease +##gnant +1629 +hammering +kassel +wessex +##lga +bromwich +egan +paranoia +utilization +##atable +##idad +contradictory +provoke +##ols +##ouring +##tangled +knesset +##very +##lette +plumbing +##sden +greensboro +occult +sniff +zev +beaming +gamer +haggard +mahal +##olt +##pins +mendes +utmost +briefing +gunnery +##gut +##pher +##zh +##rok +1679 +khalifa +sonya +##boot +principals +urbana +wiring +##liffe +##minating +##rrado +dahl +nyu +skepticism +townspeople +ithaca +lobster +somethin +##fur +##arina +##−1 +freighter +zimmerman +biceps +contractual +##herton +amend +hurrying +subconscious +##anal +meng +clermont +spawning +##eia +##lub +dignitaries +impetus +snacks +spotting +twigs +##bilis +##cz +##ouk +libertadores +nic +skylar +##aina +gustave +asean +##anum +dieter +legislatures +flirt +bromley +trolls +umar +##bbies +##tyle +blah +parc +bridgeport +crank +negligence +##nction +46th +constantin +molded +bandages +seriousness +00pm +siegel +carpets +compartments +upbeat +statehood +##dner +##edging +marko +platt +##hane +paving +##iy +1738 +abbess +impatience +limousine +nbl +lucille +mojo +nightfall +robbers +##nais +karel +brisk +calves +replicate +ascribed +telescopes +##olf +intimidated +ballast +specialization +aerodynamic +caliphate +visionary +##arded +epsilon +##aday +##onte +aggregation +auditory +boosted +reunification +kathmandu +loco +robyn +acknowledges +appointing +humanoid +newell +redeveloped +restraints +##tained +barbarians +chopper +1609 +italiana +##lez +##lho +investigates +wrestlemania +##anies +##bib +##falls +creaked +dragoons +gravely +minions +stupidity +volley +##harat +##week +musik +##eries +##uously +fungal +massimo +semantics +malvern +##ahl +##pee +discourage +embryo +imperialism +1910s +profoundly +##ddled +jiangsu +sparkled +stat +##holz +sweatshirt +tobin +##iction +sneered +##cheon +##oit +brit +causal +smyth +##neuve +diffuse +perrin +silvio +##ipes +##recht +detonated +iqbal +selma +##nism +##zumi +roasted +##riders +tay +##ados +##mament +##mut +##rud +completes +nipples +flavour +hirsch +##laus +calderon +sneakers +moravian +##ksha +1622 +##imeters +bodo +##isance +##pre +##ronia +anatomical +excerpt +##lke +dh +kunst +##tablished +##scoe +biomass +panted +unharmed +gael +housemates +montpellier +coa +rodents +tonic +hickory +singleton +##taro +1719 +aldo +breaststroke +dempsey +och +rocco +##cuit +merton +dissemination +midsummer +serials +##idi +haji +polynomials +enoch +prematurely +shutter +taunton +£3 +##grating +##inates +archangel +harassed +##asco +archway +dazzling +##ecin +1736 +sumo +wat +##kovich +1086 +honneur +##ently +##nostic +##ttal +##idon +1605 +1716 +rents +##gnan +hires +##ikh +##dant +howie +##rons +handler +retracted +shocks +1632 +arun +duluth +kepler +trumpeter +##lary +peeking +seasoned +trooper +##mara +laszlo +##iciencies +##rti +heterosexual +##inatory +indira +jogging +##inga +##lism +beit +dissatisfaction +malice +##ately +nedra +peeling +##rgeon +47th +stadiums +vertigo +##ains +iced +restroom +##plify +##tub +illustrating +pear +##chner +##sibility +inorganic +rappers +receipts +watery +##kura +lucinda +##oulos +reintroduced +##8th +##tched +gracefully +saxons +nutritional +wastewater +rained +favourites +bedrock +fisted +hallways +likeness +upscale +##lateral +1580 +blinds +prequel +##pps +##tama +deter +humiliating +restraining +tn +vents +1659 +laundering +recess +rosary +tractors +coulter +federer +##ifiers +##plin +persistence +##quitable +geschichte +pendulum +quakers +##beam +bassett +pictorial +koln +##sitor +drills +reciprocal +shooters +##cton +##tees +converge +pip +dmitri +donnelly +yamamoto +aqua +azores +demographics +hypnotic +spitfire +suspend +wryly +roderick +##rran +sebastien +##asurable +mavericks +##fles +himalayan +prodigy +##iance +transvaal +demonstrators +handcuffs +dodged +mcnamara +sublime +1726 +crazed +##efined +##till +ivo +pondered +reconciled +shrill +sava +##duk +bal +heresy +jaipur +goran +##nished +lux +shelly +whitehall +##hre +israelis +peacekeeping +##wled +1703 +demetrius +ousted +##arians +##zos +beale +anwar +backstroke +raged +shrinking +cremated +##yck +benign +towing +wadi +darmstadt +landfill +parana +soothe +colleen +sidewalks +mayfair +tumble +hepatitis +ferrer +superstructure +##gingly +##urse +##wee +anthropological +translators +##mies +closeness +hooves +##pw +mondays +##roll +##vita +landscaping +##urized +purification +sock +thorns +thwarted +jalan +tiberius +##taka +saline +##rito +confidently +khyber +sculptors +##ij +brahms +hammersmith +inspectors +battista +fivb +fragmentation +hackney +##uls +arresting +exercising +antoinette +bedfordshire +##zily +dyed +##hema +1656 +racetrack +variability +##tique +1655 +austrians +deteriorating +madman +theorists +aix +lehman +weathered +1731 +decreed +eruptions +1729 +flaw +quinlan +sorbonne +flutes +nunez +1711 +adored +downwards +fable +rasped +1712 +moritz +mouthful +renegade +shivers +stunts +dysfunction +restrain +translit +pancakes +##avio +##cision +##tray +vial +##lden +bain +##maid +##oxide +chihuahua +malacca +vimes +##rba +##rnier +1664 +donnie +plaques +##ually +bangs +floppy +huntsville +loretta +nikolay +##otte +eater +handgun +ubiquitous +##hett +eras +zodiac +1634 +##omorphic +1820s +##zog +cochran +##bula +##lithic +warring +##rada +dalai +excused +blazers +mcconnell +reeling +este +##abi +geese +hoax +taxon +##bla +guitarists +condemning +hunts +inversion +moffat +taekwondo +##lvis +1624 +stammered +##rest +##rzy +sousa +fundraiser +marylebone +navigable +uptown +cabbage +daniela +salman +shitty +whimper +##kian +##utive +programmers +protections +##rmi +##rued +forceful +##enes +fuss +##tao +##wash +brat +oppressive +reykjavik +spartak +ticking +##inkles +##kiewicz +adolph +horst +maui +protege +straighten +cpc +landau +concourse +clements +resultant +##ando +imaginative +joo +reactivated +##rem +##ffled +##uising +consultative +##guide +flop +kaitlyn +mergers +parenting +somber +##vron +supervise +vidhan +##imum +courtship +exemplified +harmonies +medallist +refining +##rrow +##ка +amara +##hum +goalscorer +sited +overshadowed +rohan +displeasure +secretive +multiplied +osman +##orth +engravings +padre +##kali +##veda +miniatures +mis +##yala +clap +pali +rook +##cana +1692 +57th +antennae +astro +oskar +1628 +bulldog +crotch +hackett +yucatan +##sure +amplifiers +brno +ferrara +migrating +##gree +thanking +turing +##eza +mccann +ting +andersson +onslaught +gaines +ganga +incense +standardization +##mation +sentai +scuba +stuffing +turquoise +waivers +alloys +##vitt +regaining +vaults +##clops +##gizing +digger +furry +memorabilia +probing +##iad +payton +rec +deutschland +filippo +opaque +seamen +zenith +afrikaans +##filtration +disciplined +inspirational +##merie +banco +confuse +grafton +tod +##dgets +championed +simi +anomaly +biplane +##ceptive +electrode +##para +1697 +cleavage +crossbow +swirl +informant +##lars +##osta +afi +bonfire +spec +##oux +lakeside +slump +##culus +##lais +##qvist +##rrigan +1016 +facades +borg +inwardly +cervical +pointedly +stabilization +##odon +chests +1699 +hacked +ctv +orthogonal +suzy +##lastic +gaulle +jacobite +rearview +##erted +ashby +##drik +##igate +##mise +##zbek +affectionately +canine +disperse +latham +##istles +##ivar +spielberg +##orin +##idium +ezekiel +cid +##sg +durga +middletown +##cina +customized +frontiers +harden +##etano +##zzy +1604 +bolsheviks +coloration +yoko +##bedo +briefs +slabs +debra +liquidation +plumage +##oin +blossoms +dementia +subsidy +1611 +proctor +relational +jerseys +parochial +ter +##ici +esa +peshawar +cavalier +loren +idiots +shamrock +1646 +dutton +malabar +mustache +##endez +##ocytes +referencing +terminates +marche +yarmouth +##sop +acton +mated +seton +subtly +baptised +beige +extremes +jolted +kristina +telecast +##actic +safeguard +waldo +##baldi +##bular +endeavors +sloppy +subterranean +##ensburg +##itung +delicately +pigment +tq +##scu +1626 +collisions +coveted +herds +##personal +##meister +##nberger +chopra +##ricting +abnormalities +defective +galician +lucie +##dilly +alligator +likened +##genase +burundi +clears +complexion +derelict +deafening +diablo +fingered +champaign +dogg +enlist +isotope +labeling +mrna +##erre +brilliance +marvelous +##ayo +1652 +crawley +ether +footed +dwellers +deserts +hamish +rubs +warlock +skimmed +##lizer +buick +embark +heraldic +irregularities +##ajan +kiara +##kulam +##ieg +antigen +kowalski +##lge +oakley +visitation +##mbit +vt +##suit +1570 +murderers +##miento +##rites +chimneys +##sling +condemn +custer +exchequer +havre +##ghi +fluctuations +##rations +dfb +hendricks +vaccines +##tarian +nietzsche +biking +juicy +##duced +brooding +scrolling +selangor +##ragan +annum +boomed +seminole +sugarcane +##dna +departmental +dismissing +innsbruck +arteries +ashok +batavia +daze +kun +overtook +##rga +##tlan +beheaded +gaddafi +holm +electronically +faulty +galilee +fractures +kobayashi +##lized +gunmen +magma +aramaic +mala +eastenders +inference +messengers +bf +##qu +bathrooms +##vere +1658 +flashbacks +ideally +misunderstood +##jali +##weather +mendez +##grounds +uncanny +##iii +1709 +friendships +##nbc +sacrament +accommodated +reiterated +logistical +pebbles +thumped +##escence +administering +decrees +drafts +##flight +##cased +##tula +futuristic +picket +intimidation +winthrop +##fahan +interfered +afar +francoise +morally +uta +cochin +croft +dwarfs +##bruck +##dents +##nami +biker +##hner +##meral +##isen +##ometric +##pres +##ан +brightened +meek +parcels +securely +gunners +##jhl +##zko +agile +hysteria +##lten +##rcus +bukit +champs +chevy +cuckoo +leith +sadler +theologians +welded +##section +1663 +plurality +xander +##rooms +##formed +shredded +temps +intimately +pau +tormented +##lok +##stellar +1618 +charred +essen +##mmel +alarms +spraying +ascot +blooms +twinkle +##abia +##apes +internment +obsidian +##chaft +snoop +##dav +##ooping +malibu +##tension +quiver +##itia +hays +mcintosh +travers +walsall +##ffie +1623 +beverley +schwarz +plunging +structurally +rosenthal +vikram +##tsk +ghz +##onda +##tiv +chalmers +groningen +pew +reckon +unicef +##rvis +55th +##gni +1651 +sulawesi +avila +cai +metaphysical +screwing +turbulence +##mberg +augusto +samba +56th +baffled +momentary +toxin +##urian +##wani +aachen +condoms +dali +steppe +##oed +##year +adolescence +dauphin +electrically +inaccessible +microscopy +nikita +##ega +atv +##enter +##oles +##oteric +accountants +punishments +wrongly +bribes +adventurous +clinch +flinders +southland +##hem +##kata +gough +##ciency +lads +soared +##ה +undergoes +deformation +outlawed +rubbish +##arus +##mussen +##nidae +##rzburg +arcs +##ingdon +##tituted +1695 +wheelbase +wheeling +bombardier +campground +zebra +##lices +##oj +##bain +lullaby +##ecure +donetsk +wylie +grenada +##arding +##ης +squinting +eireann +opposes +##andra +maximal +runes +##broken +##cuting +##iface +##ror +##rosis +additive +britney +adultery +triggering +##drome +detrimental +aarhus +containment +jc +swapped +vichy +##ioms +madly +##oric +##rag +brant +##ckey +1560 +1612 +broughton +rustling +##stems +##uder +asbestos +mentoring +##nivorous +finley +leaps +##isan +apical +pry +slits +substitutes +##dict +intuitive +fantasia +insistent +unreasonable +##igen +##vna +domed +hannover +margot +ponder +##zziness +impromptu +jian +rampage +stemming +##eft +andrey +gerais +whichever +amnesia +appropriated +anzac +clicks +modifying +ultimatum +cambrian +maids +verve +yellowstone +##mbs +conservatoire +##scribe +adherence +dinners +spectra +imperfect +mysteriously +sidekick +tatar +tuba +##aks +##ifolia +distrust +##athan +##zle +ronin +zac +##pse +celaena +instrumentalist +scents +skopje +##mbling +comical +compensated +vidal +condor +intersect +jingle +wavelengths +##urrent +mcqueen +##izzly +carp +weasel +militias +postdoctoral +eugen +gunslinger +##ɛ +faux +hospice +##for +appalled +derivation +dwarves +##elis +dilapidated +##folk +astoria +philology +##lwyn +##otho +##saka +inducing +philanthropy +##bf +##itative +geek +markedly +##yce +bessie +indices +##flict +frowns +resolving +weightlifting +tugs +cleric +contentious +1653 +mania +rms +##miya +##reate +##ruck +##tucket +bien +eels +marek +##ayton +##cence +discreet +unofficially +##ife +leaks +##bber +1705 +dung +compressor +hillsborough +pandit +shillings +distal +##skin +##tat +nosed +##nir +mangrove +undeveloped +##idia +textures +##inho +##rise +irritating +nay +amazingly +bancroft +apologetic +compassionate +kata +symphonies +##lovic +airspace +##lch +gifford +precautions +fulfillment +sevilla +vulgar +martinique +##urities +looting +piccolo +tidy +##dermott +quadrant +armchair +incomes +mathematicians +stampede +nilsson +##inking +##scan +foo +quarterfinal +##ostal +shang +shouldered +squirrels +##owe +vinegar +##bner +##rchy +##systems +delaying +##trics +ars +dwyer +rhapsody +sponsoring +##gration +bipolar +cinder +starters +##olio +##urst +signage +##nty +aground +figurative +mons +acquaintances +duets +erroneously +soyuz +elliptic +recreated +##cultural +##quette +##ssed +##tma +##zcz +moderator +scares +##itaire +##stones +##udence +juniper +sighting +##just +##nsen +britten +calabria +ry +bop +cramer +forsyth +stillness +airmen +gathers +unfit +##umber +##upt +taunting +seeker +streamlined +##bution +holster +schumann +tread +vox +##gano +##onzo +strive +dil +reforming +covent +newbury +predicting +##orro +decorate +tre +##puted +andover +asahi +dept +dunkirk +gills +##tori +buren +huskies +##stis +##stov +abstracts +bets +loosen +##opa +1682 +yearning +##glio +##sir +berman +effortlessly +enamel +napoli +persist +##peration +##uez +attache +elisa +invitations +##kic +accelerating +reindeer +boardwalk +clutches +nelly +polka +##kei +adamant +huey +lough +unbroken +adventurer +embroidery +inspecting +stanza +##ducted +naia +taluka +##pone +##roids +chases +deprivation +florian +##ppet +earthly +##lib +##ssee +colossal +foreigner +vet +freaks +patrice +rosewood +triassic +upstate +##pkins +dominates +ata +chants +ks +vo +##bley +##raya +##rmed +agra +infiltrate +##ailing +##ilation +##tzer +##uppe +##werk +binoculars +enthusiast +fujian +squeak +##avs +abolitionist +almeida +boredom +hampstead +marsden +rations +##ands +inflated +bonuses +rosalie +patna +##rco +detachments +penitentiary +54th +flourishing +woolf +##dion +##etched +papyrus +##lster +##nsor +##toy +bobbed +dismounted +endelle +inhuman +motorola +wince +wreath +##ticus +hideout +inspections +sanjay +disgrace +infused +pudding +stalks +##urbed +arsenic +leases +##hyl +##rrard +collarbone +##waite +##wil +dowry +##bant +##edance +genealogical +nitrate +salamanca +scandals +thyroid +necessitated +##` +##¡ +##¢ +##¦ +##¨ +##ª +##¬ +##´ +##¶ +##¾ +##¿ +##ð +##þ +##ħ +##œ +##ƒ +##ɐ +##ɑ +##ɒ +##ɕ +##ɣ +##ɨ +##ɪ +##ɫ +##ɬ +##ɯ +##ɲ +##ɴ +##ɹ +##ɾ +##ʀ +##ʁ +##ʂ +##ʃ +##ʉ +##ʊ +##ʋ +##ʌ +##ʎ +##ʐ +##ʑ +##ʒ +##ʔ +##ʲ +##ʳ +##ʷ +##ʸ +##ʻ +##ʼ +##ʾ +##ʿ +##ˡ +##ˣ +##ˤ +##ζ +##ξ +##щ +##ъ +##э +##ю +##ђ +##є +##ј +##љ +##њ +##ћ +##ӏ +##ա +##բ +##գ +##դ +##ե +##թ +##ի +##լ +##կ +##հ +##մ +##յ +##ն +##ո +##պ +##ս +##վ +##տ +##ր +##ւ +##ք +##־ +##א +##ב +##ג +##ד +##ו +##ז +##ח +##ט +##י +##ך +##כ +##ל +##ם +##מ +##ן +##נ +##ס +##ע +##ף +##פ +##ץ +##צ +##ק +##ר +##ש +##ת +##، +##ء +##ث +##ج +##ح +##خ +##ذ +##ز +##ش +##ص +##ض +##ط +##ظ +##غ +##ـ +##ف +##ق +##ك +##ى +##ٹ +##پ +##چ +##ک +##گ +##ں +##ھ +##ہ +##ے +##अ +##आ +##उ +##ए +##क +##ख +##ग +##च +##ज +##ट +##ड +##ण +##त +##थ +##द +##ध +##न +##प +##ब +##भ +##म +##य +##र +##ल +##व +##श +##ष +##स +##ह +##ा +##ि +##ी +##ो +##। +##॥ +##ং +##অ +##আ +##ই +##উ +##এ +##ও +##ক +##খ +##গ +##চ +##ছ +##জ +##ট +##ড +##ণ +##ত +##থ +##দ +##ধ +##ন +##প +##ব +##ভ +##ম +##য +##র +##ল +##শ +##ষ +##স +##হ +##া +##ি +##ী +##ে +##க +##ச +##ட +##த +##ந +##ன +##ப +##ம +##ய +##ர +##ல +##ள +##வ +##ா +##ி +##ு +##ே +##ை +##ನ +##ರ +##ಾ +##ක +##ය +##ර +##ල +##ව +##ා +##ต +##ท +##พ +##ล +##ว +##ส +##། +##ག +##ང +##ད +##ན +##པ +##བ +##མ +##འ +##ར +##ལ +##ས +##မ +##ა +##ბ +##გ +##დ +##ე +##ვ +##თ +##ი +##კ +##ლ +##მ +##ნ +##ო +##რ +##ს +##ტ +##უ +##ᄊ +##ᴬ +##ᴮ +##ᴰ +##ᴵ +##ᴺ +##ᵀ +##ᵇ +##ᵈ +##ᵖ +##ᵗ +##ᵣ +##ᵤ +##ᵥ +##ᶜ +##ᶠ +##‐ +##‑ +##‒ +##– +##— +##― +##‘ +##’ +##‚ +##“ +##” +##‡ +##… +##⁰ +##⁴ +##⁵ +##⁶ +##⁷ +##⁸ +##⁹ +##⁻ +##₅ +##₆ +##₇ +##₈ +##₉ +##₊ +##₍ +##₎ +##ₐ +##ₑ +##ₒ +##ₓ +##ₕ +##ₖ +##ₗ +##ₘ +##ₚ +##ₛ +##ₜ +##₤ +##₩ +##₱ +##₹ +##ℓ +##ℝ +##⅓ +##⅔ +##↦ +##⇄ +##⇌ +##∂ +##∅ +##∆ +##∇ +##∈ +##∗ +##∘ +##∧ +##∨ +##∪ +##⊂ +##⊆ +##⊕ +##⊗ +##☉ +##♯ +##⟨ +##⟩ +##ⱼ +##⺩ +##⺼ +##⽥ +##亻 +##宀 +##彳 +##忄 +##扌 +##氵 +##疒 +##糹 +##訁 +##辶 +##阝 +##龸 +##fi +##fl diff --git a/comfy/text_encoders/llama.py b/comfy/text_encoders/llama.py new file mode 100644 index 0000000000000000000000000000000000000000..5e11956b597fa9ff3313113e3bf9caaa619b9dfc --- /dev/null +++ b/comfy/text_encoders/llama.py @@ -0,0 +1,431 @@ +import torch +import torch.nn as nn +from dataclasses import dataclass +from typing import Optional, Any +import math + +from comfy.ldm.modules.attention import optimized_attention_for_device +import comfy.model_management +import comfy.ldm.common_dit + +import comfy.model_management +from . import qwen_vl + +@dataclass +class Llama2Config: + vocab_size: int = 128320 + hidden_size: int = 4096 + intermediate_size: int = 14336 + num_hidden_layers: int = 32 + num_attention_heads: int = 32 + num_key_value_heads: int = 8 + max_position_embeddings: int = 8192 + rms_norm_eps: float = 1e-5 + rope_theta: float = 500000.0 + transformer_type: str = "llama" + head_dim = 128 + rms_norm_add = False + mlp_activation = "silu" + qkv_bias = False + rope_dims = None + +@dataclass +class Qwen25_3BConfig: + vocab_size: int = 151936 + hidden_size: int = 2048 + intermediate_size: int = 11008 + num_hidden_layers: int = 36 + num_attention_heads: int = 16 + num_key_value_heads: int = 2 + max_position_embeddings: int = 128000 + rms_norm_eps: float = 1e-6 + rope_theta: float = 1000000.0 + transformer_type: str = "llama" + head_dim = 128 + rms_norm_add = False + mlp_activation = "silu" + qkv_bias = True + rope_dims = None + +@dataclass +class Qwen25_7BVLI_Config: + vocab_size: int = 152064 + hidden_size: int = 3584 + intermediate_size: int = 18944 + num_hidden_layers: int = 28 + num_attention_heads: int = 28 + num_key_value_heads: int = 4 + max_position_embeddings: int = 128000 + rms_norm_eps: float = 1e-6 + rope_theta: float = 1000000.0 + transformer_type: str = "llama" + head_dim = 128 + rms_norm_add = False + mlp_activation = "silu" + qkv_bias = True + rope_dims = [16, 24, 24] + +@dataclass +class Gemma2_2B_Config: + vocab_size: int = 256000 + hidden_size: int = 2304 + intermediate_size: int = 9216 + num_hidden_layers: int = 26 + num_attention_heads: int = 8 + num_key_value_heads: int = 4 + max_position_embeddings: int = 8192 + rms_norm_eps: float = 1e-6 + rope_theta: float = 10000.0 + transformer_type: str = "gemma2" + head_dim = 256 + rms_norm_add = True + mlp_activation = "gelu_pytorch_tanh" + qkv_bias = False + rope_dims = None + +class RMSNorm(nn.Module): + def __init__(self, dim: int, eps: float = 1e-5, add=False, device=None, dtype=None): + super().__init__() + self.eps = eps + self.weight = nn.Parameter(torch.empty(dim, device=device, dtype=dtype)) + self.add = add + + def forward(self, x: torch.Tensor): + w = self.weight + if self.add: + w = w + 1.0 + + return comfy.ldm.common_dit.rms_norm(x, w, self.eps) + + + +def rotate_half(x): + """Rotates half the hidden dims of the input.""" + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +def precompute_freqs_cis(head_dim, position_ids, theta, rope_dims=None, device=None): + theta_numerator = torch.arange(0, head_dim, 2, device=device).float() + inv_freq = 1.0 / (theta ** (theta_numerator / head_dim)) + + inv_freq_expanded = inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1) + position_ids_expanded = position_ids[:, None, :].float() + freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2) + emb = torch.cat((freqs, freqs), dim=-1) + cos = emb.cos() + sin = emb.sin() + if rope_dims is not None and position_ids.shape[0] > 1: + mrope_section = rope_dims * 2 + cos = torch.cat([m[i % 3] for i, m in enumerate(cos.split(mrope_section, dim=-1))], dim=-1).unsqueeze(0) + sin = torch.cat([m[i % 3] for i, m in enumerate(sin.split(mrope_section, dim=-1))], dim=-1).unsqueeze(0) + else: + cos = cos.unsqueeze(1) + sin = sin.unsqueeze(1) + + return (cos, sin) + + +def apply_rope(xq, xk, freqs_cis): + org_dtype = xq.dtype + cos = freqs_cis[0] + sin = freqs_cis[1] + q_embed = (xq * cos) + (rotate_half(xq) * sin) + k_embed = (xk * cos) + (rotate_half(xk) * sin) + return q_embed.to(org_dtype), k_embed.to(org_dtype) + + +class Attention(nn.Module): + def __init__(self, config: Llama2Config, device=None, dtype=None, ops: Any = None): + super().__init__() + self.num_heads = config.num_attention_heads + self.num_kv_heads = config.num_key_value_heads + self.hidden_size = config.hidden_size + + self.head_dim = config.head_dim + self.inner_size = self.num_heads * self.head_dim + + ops = ops or nn + self.q_proj = ops.Linear(config.hidden_size, self.inner_size, bias=config.qkv_bias, device=device, dtype=dtype) + self.k_proj = ops.Linear(config.hidden_size, self.num_kv_heads * self.head_dim, bias=config.qkv_bias, device=device, dtype=dtype) + self.v_proj = ops.Linear(config.hidden_size, self.num_kv_heads * self.head_dim, bias=config.qkv_bias, device=device, dtype=dtype) + self.o_proj = ops.Linear(self.inner_size, config.hidden_size, bias=False, device=device, dtype=dtype) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + freqs_cis: Optional[torch.Tensor] = None, + optimized_attention=None, + ): + batch_size, seq_length, _ = hidden_states.shape + xq = self.q_proj(hidden_states) + xk = self.k_proj(hidden_states) + xv = self.v_proj(hidden_states) + + xq = xq.view(batch_size, seq_length, self.num_heads, self.head_dim).transpose(1, 2) + xk = xk.view(batch_size, seq_length, self.num_kv_heads, self.head_dim).transpose(1, 2) + xv = xv.view(batch_size, seq_length, self.num_kv_heads, self.head_dim).transpose(1, 2) + + xq, xk = apply_rope(xq, xk, freqs_cis=freqs_cis) + + xk = xk.repeat_interleave(self.num_heads // self.num_kv_heads, dim=1) + xv = xv.repeat_interleave(self.num_heads // self.num_kv_heads, dim=1) + + output = optimized_attention(xq, xk, xv, self.num_heads, mask=attention_mask, skip_reshape=True) + return self.o_proj(output) + +class MLP(nn.Module): + def __init__(self, config: Llama2Config, device=None, dtype=None, ops: Any = None): + super().__init__() + ops = ops or nn + self.gate_proj = ops.Linear(config.hidden_size, config.intermediate_size, bias=False, device=device, dtype=dtype) + self.up_proj = ops.Linear(config.hidden_size, config.intermediate_size, bias=False, device=device, dtype=dtype) + self.down_proj = ops.Linear(config.intermediate_size, config.hidden_size, bias=False, device=device, dtype=dtype) + if config.mlp_activation == "silu": + self.activation = torch.nn.functional.silu + elif config.mlp_activation == "gelu_pytorch_tanh": + self.activation = lambda a: torch.nn.functional.gelu(a, approximate="tanh") + + def forward(self, x): + return self.down_proj(self.activation(self.gate_proj(x)) * self.up_proj(x)) + +class TransformerBlock(nn.Module): + def __init__(self, config: Llama2Config, device=None, dtype=None, ops: Any = None): + super().__init__() + self.self_attn = Attention(config, device=device, dtype=dtype, ops=ops) + self.mlp = MLP(config, device=device, dtype=dtype, ops=ops) + self.input_layernorm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, device=device, dtype=dtype) + self.post_attention_layernorm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, device=device, dtype=dtype) + + def forward( + self, + x: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + freqs_cis: Optional[torch.Tensor] = None, + optimized_attention=None, + ): + # Self Attention + residual = x + x = self.input_layernorm(x) + x = self.self_attn( + hidden_states=x, + attention_mask=attention_mask, + freqs_cis=freqs_cis, + optimized_attention=optimized_attention, + ) + x = residual + x + + # MLP + residual = x + x = self.post_attention_layernorm(x) + x = self.mlp(x) + x = residual + x + + return x + +class TransformerBlockGemma2(nn.Module): + def __init__(self, config: Llama2Config, device=None, dtype=None, ops: Any = None): + super().__init__() + self.self_attn = Attention(config, device=device, dtype=dtype, ops=ops) + self.mlp = MLP(config, device=device, dtype=dtype, ops=ops) + self.input_layernorm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, add=config.rms_norm_add, device=device, dtype=dtype) + self.post_attention_layernorm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, add=config.rms_norm_add, device=device, dtype=dtype) + self.pre_feedforward_layernorm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, add=config.rms_norm_add, device=device, dtype=dtype) + self.post_feedforward_layernorm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, add=config.rms_norm_add, device=device, dtype=dtype) + + def forward( + self, + x: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + freqs_cis: Optional[torch.Tensor] = None, + optimized_attention=None, + ): + # Self Attention + residual = x + x = self.input_layernorm(x) + x = self.self_attn( + hidden_states=x, + attention_mask=attention_mask, + freqs_cis=freqs_cis, + optimized_attention=optimized_attention, + ) + + x = self.post_attention_layernorm(x) + x = residual + x + + # MLP + residual = x + x = self.pre_feedforward_layernorm(x) + x = self.mlp(x) + x = self.post_feedforward_layernorm(x) + x = residual + x + + return x + +class Llama2_(nn.Module): + def __init__(self, config, device=None, dtype=None, ops=None): + super().__init__() + self.config = config + self.vocab_size = config.vocab_size + + self.embed_tokens = ops.Embedding( + config.vocab_size, + config.hidden_size, + device=device, + dtype=dtype + ) + if self.config.transformer_type == "gemma2": + transformer = TransformerBlockGemma2 + self.normalize_in = True + else: + transformer = TransformerBlock + self.normalize_in = False + + self.layers = nn.ModuleList([ + transformer(config, device=device, dtype=dtype, ops=ops) + for _ in range(config.num_hidden_layers) + ]) + self.norm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps, add=config.rms_norm_add, device=device, dtype=dtype) + # self.lm_head = ops.Linear(config.hidden_size, config.vocab_size, bias=False, device=device, dtype=dtype) + + def forward(self, x, attention_mask=None, embeds=None, num_tokens=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=None, position_ids=None, embeds_info=[]): + if embeds is not None: + x = embeds + else: + x = self.embed_tokens(x, out_dtype=dtype) + + if self.normalize_in: + x *= self.config.hidden_size ** 0.5 + + if position_ids is None: + position_ids = torch.arange(0, x.shape[1], device=x.device).unsqueeze(0) + + freqs_cis = precompute_freqs_cis(self.config.head_dim, + position_ids, + self.config.rope_theta, + self.config.rope_dims, + device=x.device) + + mask = None + if attention_mask is not None: + mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1]) + mask = mask.masked_fill(mask.to(torch.bool), float("-inf")) + + causal_mask = torch.empty(x.shape[1], x.shape[1], dtype=x.dtype, device=x.device).fill_(float("-inf")).triu_(1) + if mask is not None: + mask += causal_mask + else: + mask = causal_mask + optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True) + + intermediate = None + all_intermediate = None + if intermediate_output is not None: + if intermediate_output == "all": + all_intermediate = [] + intermediate_output = None + elif intermediate_output < 0: + intermediate_output = len(self.layers) + intermediate_output + + for i, layer in enumerate(self.layers): + if all_intermediate is not None: + all_intermediate.append(x.unsqueeze(1).clone()) + x = layer( + x=x, + attention_mask=mask, + freqs_cis=freqs_cis, + optimized_attention=optimized_attention, + ) + if i == intermediate_output: + intermediate = x.clone() + + x = self.norm(x) + if all_intermediate is not None: + all_intermediate.append(x.unsqueeze(1).clone()) + + if all_intermediate is not None: + intermediate = torch.cat(all_intermediate, dim=1) + + if intermediate is not None and final_layer_norm_intermediate: + intermediate = self.norm(intermediate) + + return x, intermediate + +class BaseLlama: + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, embeddings): + self.model.embed_tokens = embeddings + + def forward(self, input_ids, *args, **kwargs): + return self.model(input_ids, *args, **kwargs) + + +class Llama2(BaseLlama, torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + config = Llama2Config(**config_dict) + self.num_layers = config.num_hidden_layers + + self.model = Llama2_(config, device=device, dtype=dtype, ops=operations) + self.dtype = dtype + +class Qwen25_3B(BaseLlama, torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + config = Qwen25_3BConfig(**config_dict) + self.num_layers = config.num_hidden_layers + + self.model = Llama2_(config, device=device, dtype=dtype, ops=operations) + self.dtype = dtype + +class Qwen25_7BVLI(BaseLlama, torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + config = Qwen25_7BVLI_Config(**config_dict) + self.num_layers = config.num_hidden_layers + + self.model = Llama2_(config, device=device, dtype=dtype, ops=operations) + self.visual = qwen_vl.Qwen2VLVisionTransformer(hidden_size=1280, output_hidden_size=config.hidden_size, device=device, dtype=dtype, ops=operations) + self.dtype = dtype + + def preprocess_embed(self, embed, device): + if embed["type"] == "image": + image, grid = qwen_vl.process_qwen2vl_images(embed["data"]) + return self.visual(image.to(device, dtype=torch.float32), grid), grid + return None, None + + def forward(self, x, attention_mask=None, embeds=None, num_tokens=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=None, embeds_info=[]): + grid = None + for e in embeds_info: + if e.get("type") == "image": + grid = e.get("extra", None) + position_ids = torch.zeros((3, embeds.shape[1]), device=embeds.device) + start = e.get("index") + position_ids[:, :start] = torch.arange(0, start, device=embeds.device) + end = e.get("size") + start + len_max = int(grid.max()) // 2 + start_next = len_max + start + position_ids[:, end:] = torch.arange(start_next, start_next + (embeds.shape[1] - end), device=embeds.device) + position_ids[0, start:end] = start + max_d = int(grid[0][1]) // 2 + position_ids[1, start:end] = torch.arange(start, start + max_d, device=embeds.device).unsqueeze(1).repeat(1, math.ceil((end - start) / max_d)).flatten(0)[:end - start] + max_d = int(grid[0][2]) // 2 + position_ids[2, start:end] = torch.arange(start, start + max_d, device=embeds.device).unsqueeze(0).repeat(math.ceil((end - start) / max_d), 1).flatten(0)[:end - start] + + if grid is None: + position_ids = None + + return super().forward(x, attention_mask=attention_mask, embeds=embeds, num_tokens=num_tokens, intermediate_output=intermediate_output, final_layer_norm_intermediate=final_layer_norm_intermediate, dtype=dtype, position_ids=position_ids) + +class Gemma2_2B(BaseLlama, torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + config = Gemma2_2B_Config(**config_dict) + self.num_layers = config.num_hidden_layers + + self.model = Llama2_(config, device=device, dtype=dtype, ops=operations) + self.dtype = dtype diff --git a/comfy/text_encoders/llama_tokenizer/tokenizer.json b/comfy/text_encoders/llama_tokenizer/tokenizer.json new file mode 100644 index 0000000000000000000000000000000000000000..99f23954b4bade407d4f3a18892f21f80b412d68 --- /dev/null +++ b/comfy/text_encoders/llama_tokenizer/tokenizer.json @@ -0,0 +1,410579 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 128000, + "content": "<|begin_of_text|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128001, + "content": "<|end_of_text|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128002, + "content": "<|reserved_special_token_0|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128003, + "content": "<|reserved_special_token_1|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128004, + "content": "<|reserved_special_token_2|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128005, + "content": "<|reserved_special_token_3|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128006, + "content": "<|start_header_id|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128007, + "content": "<|end_header_id|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128008, + "content": "<|reserved_special_token_4|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128009, + "content": "<|eot_id|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128010, + "content": "<|reserved_special_token_5|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128011, + "content": "<|reserved_special_token_6|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128012, + "content": "<|reserved_special_token_7|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128013, + "content": "<|reserved_special_token_8|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128014, + "content": "<|reserved_special_token_9|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128015, + "content": "<|reserved_special_token_10|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128016, + "content": "<|reserved_special_token_11|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128017, + "content": "<|reserved_special_token_12|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128018, + "content": "<|reserved_special_token_13|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128019, + "content": "<|reserved_special_token_14|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128020, + "content": "<|reserved_special_token_15|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128021, + "content": "<|reserved_special_token_16|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128022, + "content": "<|reserved_special_token_17|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128023, + "content": "<|reserved_special_token_18|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128024, + "content": "<|reserved_special_token_19|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128025, + "content": "<|reserved_special_token_20|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128026, + "content": "<|reserved_special_token_21|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128027, + "content": "<|reserved_special_token_22|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128028, + "content": "<|reserved_special_token_23|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128029, + "content": "<|reserved_special_token_24|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128030, + "content": "<|reserved_special_token_25|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128031, + "content": "<|reserved_special_token_26|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128032, + "content": "<|reserved_special_token_27|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128033, + "content": "<|reserved_special_token_28|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128034, + "content": "<|reserved_special_token_29|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128035, + "content": "<|reserved_special_token_30|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128036, + "content": "<|reserved_special_token_31|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128037, + "content": "<|reserved_special_token_32|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128038, + "content": "<|reserved_special_token_33|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128039, + "content": "<|reserved_special_token_34|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128040, + "content": "<|reserved_special_token_35|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128041, + "content": "<|reserved_special_token_36|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128042, + "content": "<|reserved_special_token_37|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128043, + "content": "<|reserved_special_token_38|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128044, + "content": "<|reserved_special_token_39|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128045, + "content": "<|reserved_special_token_40|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128046, + "content": "<|reserved_special_token_41|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128047, + "content": "<|reserved_special_token_42|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128048, + "content": "<|reserved_special_token_43|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128049, + "content": "<|reserved_special_token_44|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128050, + "content": "<|reserved_special_token_45|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128051, + "content": "<|reserved_special_token_46|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128052, + "content": "<|reserved_special_token_47|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128053, + "content": "<|reserved_special_token_48|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128054, + "content": "<|reserved_special_token_49|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128055, + "content": "<|reserved_special_token_50|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128056, + "content": "<|reserved_special_token_51|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128057, + "content": "<|reserved_special_token_52|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128058, + "content": "<|reserved_special_token_53|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128059, + "content": "<|reserved_special_token_54|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128060, + "content": "<|reserved_special_token_55|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128061, + "content": "<|reserved_special_token_56|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128062, + "content": "<|reserved_special_token_57|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128063, + "content": "<|reserved_special_token_58|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128064, + "content": "<|reserved_special_token_59|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128065, + "content": "<|reserved_special_token_60|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128066, + "content": "<|reserved_special_token_61|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128067, + "content": "<|reserved_special_token_62|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128068, + "content": "<|reserved_special_token_63|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128069, + "content": "<|reserved_special_token_64|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128070, + "content": "<|reserved_special_token_65|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128071, + "content": "<|reserved_special_token_66|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128072, + "content": "<|reserved_special_token_67|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128073, + "content": "<|reserved_special_token_68|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128074, + "content": "<|reserved_special_token_69|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128075, + "content": "<|reserved_special_token_70|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128076, + "content": "<|reserved_special_token_71|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128077, + "content": "<|reserved_special_token_72|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128078, + "content": "<|reserved_special_token_73|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128079, + "content": "<|reserved_special_token_74|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128080, + "content": "<|reserved_special_token_75|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128081, + "content": "<|reserved_special_token_76|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128082, + "content": "<|reserved_special_token_77|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128083, + "content": "<|reserved_special_token_78|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128084, + "content": "<|reserved_special_token_79|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128085, + "content": "<|reserved_special_token_80|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128086, + "content": "<|reserved_special_token_81|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128087, + "content": "<|reserved_special_token_82|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128088, + "content": "<|reserved_special_token_83|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128089, + "content": "<|reserved_special_token_84|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128090, + "content": "<|reserved_special_token_85|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128091, + "content": "<|reserved_special_token_86|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128092, + "content": "<|reserved_special_token_87|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128093, + "content": "<|reserved_special_token_88|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128094, + "content": "<|reserved_special_token_89|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128095, + "content": "<|reserved_special_token_90|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128096, + "content": "<|reserved_special_token_91|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128097, + "content": "<|reserved_special_token_92|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128098, + "content": "<|reserved_special_token_93|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128099, + "content": "<|reserved_special_token_94|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128100, + "content": "<|reserved_special_token_95|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128101, + "content": "<|reserved_special_token_96|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128102, + "content": "<|reserved_special_token_97|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128103, + "content": "<|reserved_special_token_98|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128104, + "content": "<|reserved_special_token_99|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128105, + "content": "<|reserved_special_token_100|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128106, + "content": "<|reserved_special_token_101|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128107, + "content": "<|reserved_special_token_102|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128108, + "content": "<|reserved_special_token_103|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128109, + "content": "<|reserved_special_token_104|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128110, + "content": "<|reserved_special_token_105|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128111, + "content": "<|reserved_special_token_106|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128112, + "content": "<|reserved_special_token_107|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128113, + "content": "<|reserved_special_token_108|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128114, + "content": "<|reserved_special_token_109|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128115, + "content": "<|reserved_special_token_110|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128116, + "content": "<|reserved_special_token_111|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128117, + "content": "<|reserved_special_token_112|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128118, + "content": "<|reserved_special_token_113|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128119, + "content": "<|reserved_special_token_114|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128120, + "content": "<|reserved_special_token_115|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128121, + "content": "<|reserved_special_token_116|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128122, + "content": "<|reserved_special_token_117|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128123, + "content": "<|reserved_special_token_118|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128124, + "content": "<|reserved_special_token_119|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128125, + "content": "<|reserved_special_token_120|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128126, + "content": "<|reserved_special_token_121|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128127, + "content": "<|reserved_special_token_122|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128128, + "content": "<|reserved_special_token_123|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128129, + "content": "<|reserved_special_token_124|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128130, + "content": "<|reserved_special_token_125|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128131, + "content": "<|reserved_special_token_126|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128132, + "content": "<|reserved_special_token_127|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128133, + "content": "<|reserved_special_token_128|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128134, + "content": "<|reserved_special_token_129|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128135, + "content": "<|reserved_special_token_130|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128136, + "content": "<|reserved_special_token_131|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128137, + "content": "<|reserved_special_token_132|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128138, + "content": "<|reserved_special_token_133|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128139, + "content": "<|reserved_special_token_134|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128140, + "content": "<|reserved_special_token_135|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128141, + "content": "<|reserved_special_token_136|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128142, + "content": "<|reserved_special_token_137|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128143, + "content": "<|reserved_special_token_138|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128144, + "content": "<|reserved_special_token_139|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128145, + "content": "<|reserved_special_token_140|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128146, + "content": "<|reserved_special_token_141|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128147, + "content": "<|reserved_special_token_142|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128148, + "content": "<|reserved_special_token_143|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128149, + "content": "<|reserved_special_token_144|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128150, + "content": "<|reserved_special_token_145|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128151, + "content": "<|reserved_special_token_146|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128152, + "content": "<|reserved_special_token_147|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128153, + "content": "<|reserved_special_token_148|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128154, + "content": "<|reserved_special_token_149|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128155, + "content": "<|reserved_special_token_150|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128156, + "content": "<|reserved_special_token_151|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128157, + "content": "<|reserved_special_token_152|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128158, + "content": "<|reserved_special_token_153|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128159, + "content": "<|reserved_special_token_154|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128160, + "content": "<|reserved_special_token_155|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128161, + "content": "<|reserved_special_token_156|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128162, + "content": "<|reserved_special_token_157|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128163, + "content": "<|reserved_special_token_158|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128164, + "content": "<|reserved_special_token_159|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128165, + "content": "<|reserved_special_token_160|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128166, + "content": "<|reserved_special_token_161|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128167, + "content": "<|reserved_special_token_162|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128168, + "content": "<|reserved_special_token_163|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128169, + "content": "<|reserved_special_token_164|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128170, + "content": "<|reserved_special_token_165|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128171, + "content": "<|reserved_special_token_166|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128172, + "content": "<|reserved_special_token_167|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128173, + "content": "<|reserved_special_token_168|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128174, + "content": "<|reserved_special_token_169|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128175, + "content": "<|reserved_special_token_170|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128176, + "content": "<|reserved_special_token_171|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128177, + "content": "<|reserved_special_token_172|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128178, + "content": "<|reserved_special_token_173|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128179, + "content": "<|reserved_special_token_174|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128180, + "content": "<|reserved_special_token_175|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128181, + "content": "<|reserved_special_token_176|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128182, + "content": "<|reserved_special_token_177|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128183, + "content": "<|reserved_special_token_178|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128184, + "content": "<|reserved_special_token_179|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128185, + "content": "<|reserved_special_token_180|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128186, + "content": "<|reserved_special_token_181|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128187, + "content": "<|reserved_special_token_182|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128188, + "content": "<|reserved_special_token_183|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128189, + "content": "<|reserved_special_token_184|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128190, + "content": "<|reserved_special_token_185|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128191, + "content": "<|reserved_special_token_186|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128192, + "content": "<|reserved_special_token_187|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128193, + "content": "<|reserved_special_token_188|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128194, + "content": "<|reserved_special_token_189|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128195, + "content": "<|reserved_special_token_190|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128196, + "content": "<|reserved_special_token_191|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128197, + "content": "<|reserved_special_token_192|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128198, + "content": "<|reserved_special_token_193|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128199, + "content": "<|reserved_special_token_194|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128200, + "content": "<|reserved_special_token_195|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128201, + "content": "<|reserved_special_token_196|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128202, + "content": "<|reserved_special_token_197|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128203, + "content": "<|reserved_special_token_198|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128204, + "content": "<|reserved_special_token_199|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128205, + "content": "<|reserved_special_token_200|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128206, + "content": "<|reserved_special_token_201|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128207, + "content": "<|reserved_special_token_202|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128208, + "content": "<|reserved_special_token_203|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128209, + "content": "<|reserved_special_token_204|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128210, + "content": "<|reserved_special_token_205|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128211, + "content": "<|reserved_special_token_206|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128212, + "content": "<|reserved_special_token_207|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128213, + "content": "<|reserved_special_token_208|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128214, + "content": "<|reserved_special_token_209|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128215, + "content": "<|reserved_special_token_210|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128216, + "content": "<|reserved_special_token_211|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128217, + "content": "<|reserved_special_token_212|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128218, + "content": "<|reserved_special_token_213|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128219, + "content": "<|reserved_special_token_214|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128220, + "content": "<|reserved_special_token_215|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128221, + "content": "<|reserved_special_token_216|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128222, + "content": "<|reserved_special_token_217|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128223, + "content": "<|reserved_special_token_218|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128224, + "content": "<|reserved_special_token_219|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128225, + "content": "<|reserved_special_token_220|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128226, + "content": "<|reserved_special_token_221|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128227, + "content": "<|reserved_special_token_222|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128228, + "content": "<|reserved_special_token_223|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128229, + "content": "<|reserved_special_token_224|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128230, + "content": "<|reserved_special_token_225|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128231, + "content": "<|reserved_special_token_226|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128232, + "content": "<|reserved_special_token_227|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128233, + "content": "<|reserved_special_token_228|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128234, + "content": "<|reserved_special_token_229|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128235, + "content": "<|reserved_special_token_230|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128236, + "content": "<|reserved_special_token_231|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128237, + "content": "<|reserved_special_token_232|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128238, + "content": "<|reserved_special_token_233|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128239, + "content": "<|reserved_special_token_234|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128240, + "content": "<|reserved_special_token_235|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128241, + "content": "<|reserved_special_token_236|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128242, + "content": "<|reserved_special_token_237|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128243, + "content": "<|reserved_special_token_238|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128244, + "content": "<|reserved_special_token_239|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128245, + "content": "<|reserved_special_token_240|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128246, + "content": "<|reserved_special_token_241|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128247, + "content": "<|reserved_special_token_242|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128248, + "content": "<|reserved_special_token_243|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128249, + "content": "<|reserved_special_token_244|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128250, + "content": "<|reserved_special_token_245|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128251, + "content": "<|reserved_special_token_246|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128252, + "content": "<|reserved_special_token_247|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128253, + "content": "<|reserved_special_token_248|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128254, + "content": "<|reserved_special_token_249|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128255, + "content": "<|reserved_special_token_250|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128256, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128257, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 128258, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + "pre_tokenizer": { + "type": "Sequence", + "pretokenizers": [ + { + "type": "Split", + "pattern": { + "Regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" + }, + "behavior": "Isolated", + "invert": false + }, + { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": false + } + ] + }, + "post_processor": { + "type": "TemplateProcessing", + "single": [ + { + "SpecialToken": { + "id": "<|begin_of_text|>", + "type_id": 0 + } + }, + { + "Sequence": { + "id": "A", + "type_id": 0 + } + } + ], + "pair": [ + { + "SpecialToken": { + "id": "<|begin_of_text|>", + "type_id": 0 + } + }, + { + "Sequence": { + "id": "A", + "type_id": 0 + } + }, + { + "SpecialToken": { + "id": "<|begin_of_text|>", + "type_id": 1 + } + }, + { + "Sequence": { + "id": "B", + "type_id": 1 + } + } + ], + "special_tokens": { + "<|begin_of_text|>": { + "id": "<|begin_of_text|>", + "ids": [ + 128000 + ], + "tokens": [ + "<|begin_of_text|>" + ] + } + } + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "byte_fallback": false, + "ignore_merges": true, + "vocab": { + "!": 0, + "\"": 1, + "#": 2, + "$": 3, + "%": 4, + "&": 5, + "'": 6, + "(": 7, + ")": 8, + "*": 9, + "+": 10, + ",": 11, + "-": 12, + ".": 13, + "/": 14, + "0": 15, + "1": 16, + "2": 17, + "3": 18, + "4": 19, + "5": 20, + "6": 21, + "7": 22, + "8": 23, + "9": 24, + ":": 25, + ";": 26, + "<": 27, + "=": 28, + ">": 29, + "?": 30, + "@": 31, + "A": 32, + "B": 33, + "C": 34, + "D": 35, + "E": 36, + "F": 37, + "G": 38, + "H": 39, + "I": 40, + "J": 41, + "K": 42, + "L": 43, + "M": 44, + "N": 45, + "O": 46, + "P": 47, + "Q": 48, + "R": 49, + "S": 50, + "T": 51, + "U": 52, + "V": 53, + "W": 54, + "X": 55, + "Y": 56, + "Z": 57, + "[": 58, + "\\": 59, + "]": 60, + "^": 61, + "_": 62, + "`": 63, + "a": 64, + "b": 65, + "c": 66, + "d": 67, + "e": 68, + "f": 69, + "g": 70, + "h": 71, + "i": 72, + "j": 73, + "k": 74, + "l": 75, + "m": 76, + "n": 77, + "o": 78, + "p": 79, + "q": 80, + "r": 81, + "s": 82, + "t": 83, + "u": 84, + "v": 85, + "w": 86, + "x": 87, + "y": 88, + "z": 89, + "{": 90, + "|": 91, + "}": 92, + "~": 93, + "¡": 94, + "¢": 95, + "£": 96, + "¤": 97, + "¥": 98, + "¦": 99, + "§": 100, + "¨": 101, + "©": 102, + "ª": 103, + "«": 104, + "¬": 105, + "®": 106, + "¯": 107, + "°": 108, + "±": 109, + "²": 110, + "³": 111, + "´": 112, + "µ": 113, + "¶": 114, + "·": 115, + "¸": 116, + "¹": 117, + "º": 118, + "»": 119, + "¼": 120, + "½": 121, + "¾": 122, + "¿": 123, + "À": 124, + "Á": 125, + "Â": 126, + "Ã": 127, + "Ä": 128, + "Å": 129, + "Æ": 130, + "Ç": 131, + "È": 132, + "É": 133, + "Ê": 134, + "Ë": 135, + "Ì": 136, + "Í": 137, + "Î": 138, + "Ï": 139, + "Ð": 140, + "Ñ": 141, + "Ò": 142, + "Ó": 143, + "Ô": 144, + "Õ": 145, + "Ö": 146, + "×": 147, + "Ø": 148, + "Ù": 149, + "Ú": 150, + "Û": 151, + "Ü": 152, + "Ý": 153, + "Þ": 154, + "ß": 155, + "à": 156, + "á": 157, + "â": 158, + "ã": 159, + "ä": 160, + "å": 161, + "æ": 162, + "ç": 163, + "è": 164, + "é": 165, + "ê": 166, + "ë": 167, + "ì": 168, + "í": 169, + "î": 170, + "ï": 171, + "ð": 172, + "ñ": 173, + "ò": 174, + "ó": 175, + "ô": 176, + "õ": 177, + "ö": 178, + "÷": 179, + "ø": 180, + "ù": 181, + "ú": 182, + "û": 183, + "ü": 184, + "ý": 185, + "þ": 186, + "ÿ": 187, + "Ā": 188, + "ā": 189, + "Ă": 190, + "ă": 191, + "Ą": 192, + "ą": 193, + "Ć": 194, + "ć": 195, + "Ĉ": 196, + "ĉ": 197, + "Ċ": 198, + "ċ": 199, + "Č": 200, + "č": 201, + "Ď": 202, + "ď": 203, + "Đ": 204, + "đ": 205, + "Ē": 206, + "ē": 207, + "Ĕ": 208, + "ĕ": 209, + "Ė": 210, + "ė": 211, + "Ę": 212, + "ę": 213, + "Ě": 214, + "ě": 215, + "Ĝ": 216, + "ĝ": 217, + "Ğ": 218, + "ğ": 219, + "Ġ": 220, + "ġ": 221, + "Ģ": 222, + "ģ": 223, + "Ĥ": 224, + "ĥ": 225, + "Ħ": 226, + "ħ": 227, + "Ĩ": 228, + "ĩ": 229, + "Ī": 230, + "ī": 231, + "Ĭ": 232, + "ĭ": 233, + "Į": 234, + "į": 235, + "İ": 236, + "ı": 237, + "IJ": 238, + "ij": 239, + "Ĵ": 240, + "ĵ": 241, + "Ķ": 242, + "ķ": 243, + "ĸ": 244, + "Ĺ": 245, + "ĺ": 246, + "Ļ": 247, + "ļ": 248, + "Ľ": 249, + "ľ": 250, + "Ŀ": 251, + "ŀ": 252, + "Ł": 253, + "ł": 254, + "Ń": 255, + "ĠĠ": 256, + "ĠĠĠĠ": 257, + "in": 258, + "Ġt": 259, + "ĠĠĠĠĠĠĠĠ": 260, + "er": 261, + "ĠĠĠ": 262, + "on": 263, + "Ġa": 264, + "re": 265, + "at": 266, + "st": 267, + "en": 268, + "or": 269, + "Ġth": 270, + "ĊĊ": 271, + "Ġc": 272, + "le": 273, + "Ġs": 274, + "it": 275, + "an": 276, + "ar": 277, + "al": 278, + "Ġthe": 279, + ";Ċ": 280, + "Ġp": 281, + "Ġf": 282, + "ou": 283, + "Ġ=": 284, + "is": 285, + "ĠĠĠĠĠĠĠ": 286, + "ing": 287, + "es": 288, + "Ġw": 289, + "ion": 290, + "ed": 291, + "ic": 292, + "Ġb": 293, + "Ġd": 294, + "et": 295, + "Ġm": 296, + "Ġo": 297, + "ĉĉ": 298, + "ro": 299, + "as": 300, + "el": 301, + "ct": 302, + "nd": 303, + "Ġin": 304, + "Ġh": 305, + "ent": 306, + "id": 307, + "Ġn": 308, + "am": 309, + "ĠĠĠĠĠĠĠĠĠĠĠ": 310, + "Ġto": 311, + "Ġre": 312, + "--": 313, + "Ġ{": 314, + "Ġof": 315, + "om": 316, + ");Ċ": 317, + "im": 318, + "čĊ": 319, + "Ġ(": 320, + "il": 321, + "//": 322, + "Ġand": 323, + "ur": 324, + "se": 325, + "Ġl": 326, + "ex": 327, + "ĠS": 328, + "ad": 329, + "Ġ\"": 330, + "ch": 331, + "ut": 332, + "if": 333, + "**": 334, + "Ġ}": 335, + "em": 336, + "ol": 337, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 338, + "th": 339, + ")Ċ": 340, + "Ġ{Ċ": 341, + "Ġg": 342, + "ig": 343, + "iv": 344, + ",Ċ": 345, + "ce": 346, + "od": 347, + "Ġv": 348, + "ate": 349, + "ĠT": 350, + "ag": 351, + "ay": 352, + "Ġ*": 353, + "ot": 354, + "us": 355, + "ĠC": 356, + "Ġst": 357, + "ĠI": 358, + "un": 359, + "ul": 360, + "ue": 361, + "ĠA": 362, + "ow": 363, + "Ġ'": 364, + "ew": 365, + "Ġ<": 366, + "ation": 367, + "()": 368, + "Ġfor": 369, + "ab": 370, + "ort": 371, + "um": 372, + "ame": 373, + "Ġis": 374, + "pe": 375, + "tr": 376, + "ck": 377, + "âĢ": 378, + "Ġy": 379, + "ist": 380, + "----": 381, + ".ĊĊ": 382, + "he": 383, + "Ġe": 384, + "lo": 385, + "ĠM": 386, + "Ġbe": 387, + "ers": 388, + "Ġon": 389, + "Ġcon": 390, + "ap": 391, + "ub": 392, + "ĠP": 393, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 394, + "ass": 395, + "int": 396, + ">Ċ": 397, + "ly": 398, + "urn": 399, + "Ġ$": 400, + ";ĊĊ": 401, + "av": 402, + "port": 403, + "ir": 404, + "->": 405, + "nt": 406, + "ction": 407, + "end": 408, + "Ġde": 409, + "00": 410, + "ith": 411, + "out": 412, + "turn": 413, + "our": 414, + "ĠĠĠĠĠ": 415, + "lic": 416, + "res": 417, + "pt": 418, + "==": 419, + "Ġthis": 420, + "Ġwh": 421, + "Ġif": 422, + "ĠD": 423, + "ver": 424, + "age": 425, + "ĠB": 426, + "ht": 427, + "ext": 428, + "=\"": 429, + "Ġthat": 430, + "****": 431, + "ĠR": 432, + "Ġit": 433, + "ess": 434, + "ĠF": 435, + "Ġr": 436, + "os": 437, + "and": 438, + "Ġas": 439, + "ect": 440, + "ke": 441, + "rom": 442, + "Ġ//": 443, + "con": 444, + "ĠL": 445, + "(\"": 446, + "qu": 447, + "lass": 448, + "Ġwith": 449, + "iz": 450, + "de": 451, + "ĠN": 452, + "Ġal": 453, + "op": 454, + "up": 455, + "get": 456, + "Ġ}Ċ": 457, + "ile": 458, + "Ġan": 459, + "ata": 460, + "ore": 461, + "ri": 462, + "Ġpro": 463, + ";čĊ": 464, + "ĉĉĉĉ": 465, + "ter": 466, + "ain": 467, + "ĠW": 468, + "ĠE": 469, + "Ġcom": 470, + "Ġreturn": 471, + "art": 472, + "ĠH": 473, + "ack": 474, + "import": 475, + "ublic": 476, + "Ġor": 477, + "est": 478, + "ment": 479, + "ĠG": 480, + "able": 481, + "Ġ-": 482, + "ine": 483, + "ill": 484, + "ind": 485, + "ere": 486, + "::": 487, + "ity": 488, + "Ġ+": 489, + "Ġtr": 490, + "elf": 491, + "ight": 492, + "('": 493, + "orm": 494, + "ult": 495, + "str": 496, + "..": 497, + "\",": 498, + "Ġyou": 499, + "ype": 500, + "pl": 501, + "Ġnew": 502, + "Ġj": 503, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 504, + "Ġfrom": 505, + "Ġex": 506, + "ĠO": 507, + "20": 508, + "ld": 509, + "Ġ[": 510, + "oc": 511, + ":Ċ": 512, + "Ġse": 513, + "Ġle": 514, + "--------": 515, + ".s": 516, + "{Ċ": 517, + "',": 518, + "ant": 519, + "Ġat": 520, + "ase": 521, + ".c": 522, + "Ġch": 523, + "": 591, + "ust": 592, + "que": 593, + "Ġres": 594, + "))": 595, + "'s": 596, + "Ġk": 597, + "ans": 598, + "yst": 599, + "unction": 600, + "********": 601, + "Ġi": 602, + "Ġus": 603, + "pp": 604, + "10": 605, + "one": 606, + "ail": 607, + "====": 608, + "name": 609, + "Ġstr": 610, + "Ġ/": 611, + "Ġ&": 612, + "ach": 613, + "div": 614, + "ystem": 615, + "ell": 616, + "Ġhave": 617, + "err": 618, + "ould": 619, + "ull": 620, + "pon": 621, + "ĠJ": 622, + "_p": 623, + "Ġ==": 624, + "ign": 625, + "St": 626, + ".Ċ": 627, + "Ġpl": 628, + ");ĊĊ": 629, + "form": 630, + "put": 631, + "ount": 632, + "}ĊĊ": 633, + "dd": 634, + "ite": 635, + "Ġget": 636, + "rr": 637, + "ome": 638, + "ĠâĢ": 639, + "aram": 640, + "cc": 641, + "Ġ*/": 642, + "ER": 643, + "In": 644, + "les": 645, + "_s": 646, + "ong": 647, + "ie": 648, + "Ġcan": 649, + "ĠV": 650, + "erv": 651, + "pr": 652, + "Ġun": 653, + "row": 654, + "ber": 655, + "Ġdo": 656, + "ll": 657, + "Ġel": 658, + "Ġself": 659, + "ated": 660, + "ary": 661, + "Ġ.": 662, + "']": 663, + "ud": 664, + "Ġen": 665, + "ĠTh": 666, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 667, + "te": 668, + "_c": 669, + "uct": 670, + "Ġab": 671, + "ork": 672, + ".get": 673, + "Ġ#": 674, + "aw": 675, + "ress": 676, + "ob": 677, + "Name": 678, + "201": 679, + "app": 680, + "['": 681, + "Ġall": 682, + "ory": 683, + "ition": 684, + "ance": 685, + "ear": 686, + "Ġcont": 687, + "vent": 688, + "ia": 689, + "Ġwill": 690, + "IN": 691, + "ĠĠĠĠĠĠĠĠĠ": 692, + "return": 693, + "Ġ": 760, + "\",Ċ": 761, + "ec": 762, + "ĠIn": 763, + "ph": 764, + "Ġ|": 765, + "_f": 766, + "Ġvar": 767, + "ence": 768, + "Id": 769, + "ree": 770, + "ink": 771, + "lect": 772, + "ug": 773, + "eth": 774, + "Ġelse": 775, + "----------------": 776, + "19": 777, + "cont": 778, + "Ġso": 779, + "atic": 780, + "Ġlo": 781, + "pro": 782, + "ton": 783, + "ss": 784, + "own": 785, + "abel": 786, + "oint": 787, + "ous": 788, + "eld": 789, + "ST": 790, + "The": 791, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 792, + "RE": 793, + "\":": 794, + "olor": 795, + "tp": 796, + "eg": 797, + "key": 798, + "ude": 799, + "ĠSt": 800, + "ound": 801, + "Ġar": 802, + "\");Ċ": 803, + "ener": 804, + "ser": 805, + "11": 806, + "bject": 807, + "essage": 808, + "fer": 809, + "Ġmore": 810, + "ations": 811, + "ents": 812, + "Ġhis": 813, + "Ġthey": 814, + ".S": 815, + "ĠY": 816, + "use": 817, + "ne": 818, + "ish": 819, + "old": 820, + "_d": 821, + "io": 822, + "ield": 823, + "Ġper": 824, + "Cont": 825, + "ings": 826, + "####": 827, + "Ġdata": 828, + "Ġsa": 829, + "ef": 830, + "fo": 831, + "Ġone": 832, + "eng": 833, + "Ġdis": 834, + "AT": 835, + "Ġname": 836, + "Ġtrue": 837, + "val": 838, + "led": 839, + ".f": 840, + "Ġne": 841, + "Ġend": 842, + "32": 843, + ".T": 844, + "16": 845, + "cre": 846, + "ark": 847, + "log": 848, + "Ex": 849, + "error": 850, + "_id": 851, + "urre": 852, + "ange": 853, + "Ġnull": 854, + "rray": 855, + "Ġmy": 856, + "pan": 857, + "ict": 858, + "ator": 859, + "View": 860, + "List": 861, + "ĉreturn": 862, + "âĢĿ": 863, + "Ġpre": 864, + "Ġx": 865, + "clude": 866, + "arg": 867, + "15": 868, + "ov": 869, + ".h": 870, + "Ġ>": 871, + "Ġtheir": 872, + "')": 873, + "irst": 874, + "ick": 875, + "gh": 876, + "LE": 877, + "OR": 878, + "Ġprivate": 879, + "tem": 880, + "čĊčĊ": 881, + "user": 882, + "Ġ)": 883, + "com": 884, + ".A": 885, + "\";Ċ": 886, + "Ġid": 887, + "read": 888, + "Ġwho": 889, + "_b": 890, + "\">Ċ": 891, + "Ġtime": 892, + "Ġman": 893, + "ry": 894, + "========": 895, + "roup": 896, + "rop": 897, + "public": 898, + "vel": 899, + "umber": 900, + "ble": 901, + "Ġwhich": 902, + "****************": 903, + "Ġany": 904, + "Ġfalse": 905, + "we": 906, + "Ġvalue": 907, + "Ġli": 908, + "\")": 909, + "nder": 910, + "gr": 911, + "Ġno": 912, + "param": 913, + "25": 914, + "fig": 915, + ".com": 916, + "Ġapp": 917, + "_l": 918, + "ions": 919, + ".D": 920, + "ĠCh": 921, + "Ġabout": 922, + "Ġadd": 923, + "Ġsu": 924, + "Ġstring": 925, + "ID": 926, + "Ġover": 927, + "string": 928, + ".l": 929, + "ource": 930, + "000": 931, + "_C": 932, + "]Ċ": 933, + "Ġqu": 934, + "ĠString": 935, + "ca": 936, + "SE": 937, + "Ġro": 938, + "sh": 939, + "ual": 940, + "Type": 941, + "son": 942, + "new": 943, + "ern": 944, + "Ġag": 945, + "AR": 946, + "];Ċ": 947, + "].": 948, + "Ġ?": 949, + "ical": 950, + "Ġdes": 951, + "uth": 952, + "ix": 953, + "ays": 954, + "Ġtype": 955, + "'t": 956, + "ault": 957, + "Ġinter": 958, + "var": 959, + ".b": 960, + "Ġpart": 961, + ".d": 962, + "urrent": 963, + "IT": 964, + "EN": 965, + "30": 966, + "enc": 967, + "(f": 968, + "ra": 969, + "value": 970, + "cho": 971, + "18": 972, + "utton": 973, + "ose": 974, + "14": 975, + "Ġ!=": 976, + "ater": 977, + "é": 978, + "reate": 979, + "oll": 980, + "pos": 981, + "yle": 982, + "ng": 983, + "AL": 984, + "using": 985, + "ames": 986, + "Ġ{čĊ": 987, + "ates": 988, + "ely": 989, + "Ġwork": 990, + "Ġem": 991, + "inal": 992, + "Ġsp": 993, + "Ġwhen": 994, + ".set": 995, + "ĠĠĠĠĠĠ": 996, + "):Ċ": 997, + "to": 998, + "quire": 999, + "indow": 1000, + "lement": 1001, + "pect": 1002, + "ash": 1003, + "[i": 1004, + "Ġuse": 1005, + ".F": 1006, + "pec": 1007, + "Ġad": 1008, + "ove": 1009, + "ception": 1010, + "ength": 1011, + "include": 1012, + "ader": 1013, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1014, + "atus": 1015, + "Th": 1016, + "itle": 1017, + "rit": 1018, + "void": 1019, + "().": 1020, + "(Ċ": 1021, + "Ġoff": 1022, + "Ġother": 1023, + "Ġ&&": 1024, + "';Ċ": 1025, + "ms": 1026, + "Ġbeen": 1027, + "Ġte": 1028, + "ml": 1029, + "co": 1030, + "nc": 1031, + "13": 1032, + "ervice": 1033, + "Ġ%": 1034, + "**Ċ": 1035, + "ann": 1036, + "ade": 1037, + "ĊĊĊĊ": 1038, + "lock": 1039, + "const": 1040, + "100": 1041, + "ponse": 1042, + "Ġsup": 1043, + "++": 1044, + "date": 1045, + "Ġacc": 1046, + "Ġhad": 1047, + "Ġbu": 1048, + "200": 1049, + "ĠRe": 1050, + "Ġwere": 1051, + "Ġfile": 1052, + "Ġwould": 1053, + "ĠâĢľ": 1054, + "ven": 1055, + "iss": 1056, + "Ġour": 1057, + "class": 1058, + "raw": 1059, + "Ġyear": 1060, + "Data": 1061, + "Ġval": 1062, + "Ġsome": 1063, + "fter": 1064, + "ys": 1065, + "Ġ///": 1066, + "round": 1067, + "view": 1068, + "Ġpe": 1069, + "Ġthere": 1070, + "Ġsaid": 1071, + "du": 1072, + "of": 1073, + "line": 1074, + "/*": 1075, + "duct": 1076, + "Ġher": 1077, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1078, + "Res": 1079, + "Ġco": 1080, + "Ġcomm": 1081, + "ise": 1082, + "min": 1083, + "ĠĠĠĠĊ": 1084, + "#include": 1085, + "ethod": 1086, + ".P": 1087, + "ute": 1088, + "Ġass": 1089, + "Int": 1090, + "ask": 1091, + "loc": 1092, + "Ġlike": 1093, + "ody": 1094, + "Ġlet": 1095, + "load": 1096, + "Ġam": 1097, + "rol": 1098, + "Ġgr": 1099, + "yp": 1100, + "Ġalso": 1101, + "ĠIt": 1102, + "url": 1103, + "ific": 1104, + "ors": 1105, + "_P": 1106, + "_n": 1107, + "igh": 1108, + "Ġthan": 1109, + "Com": 1110, + "AN": 1111, + "UL": 1112, + "ating": 1113, + "17": 1114, + "ĠThis": 1115, + "ref": 1116, + "_S": 1117, + "Ġstatic": 1118, + "roll": 1119, + "Ġjust": 1120, + "Ġresult": 1121, + "ian": 1122, + "idth": 1123, + "Ġthem": 1124, + "));Ċ": 1125, + "der": 1126, + "reak": 1127, + "Con": 1128, + "://": 1129, + "ule": 1130, + "...": 1131, + "arch": 1132, + "ement": 1133, + "Ġ<<": 1134, + "50": 1135, + "ush": 1136, + "ense": 1137, + "arr": 1138, + "Ġinto": 1139, + "cess": 1140, + "amp": 1141, + "ied": 1142, + "ument": 1143, + "Ġ\\": 1144, + "],": 1145, + "wo": 1146, + "als": 1147, + "Ġwhat": 1148, + "anc": 1149, + "Value": 1150, + "='": 1151, + "olum": 1152, + "Ġpos": 1153, + "ages": 1154, + "ayer": 1155, + "Ġsc": 1156, + "ues": 1157, + "\")Ċ": 1158, + "_T": 1159, + "Ġlist": 1160, + "(s": 1161, + "Ġcase": 1162, + "Ch": 1163, + "ĉĉĉĉĉ": 1164, + "////////": 1165, + "ponent": 1166, + "Ġz": 1167, + "Ġkn": 1168, + "let": 1169, + "DE": 1170, + "red": 1171, + "Ġfe": 1172, + "Ġ},Ċ": 1173, + "Ġ,": 1174, + "(t": 1175, + "Ġfirst": 1176, + "');Ċ": 1177, + "word": 1178, + "Ġimport": 1179, + "Ġact": 1180, + "Ġchar": 1181, + "CT": 1182, + "ĠTr": 1183, + "ople": 1184, + "={": 1185, + "ĉf": 1186, + "24": 1187, + "ient": 1188, + "cent": 1189, + ".j": 1190, + "lection": 1191, + "))Ċ": 1192, + "Ġonly": 1193, + "Ġprint": 1194, + "mer": 1195, + ".W": 1196, + "ock": 1197, + "Ġ--": 1198, + "Text": 1199, + "Ġop": 1200, + "ank": 1201, + "Ġits": 1202, + "Ġback": 1203, + "[\"": 1204, + "Ġneed": 1205, + "Ġcl": 1206, + "Ġsub": 1207, + "Ġla": 1208, + "((": 1209, + ".\"": 1210, + "Object": 1211, + "Ġstart": 1212, + "file": 1213, + "(self": 1214, + "ner": 1215, + "ey": 1216, + "Ġuser": 1217, + "Ġent": 1218, + "ĠCom": 1219, + "its": 1220, + "ĠCon": 1221, + "ouble": 1222, + "ower": 1223, + "item": 1224, + "very": 1225, + "ĠWe": 1226, + "64": 1227, + "lick": 1228, + "ĠQ": 1229, + "php": 1230, + "ttp": 1231, + "':": 1232, + "ics": 1233, + "Ġunder": 1234, + "Ġ*Ċ": 1235, + ".L": 1236, + ");": 1237, + "ices": 1238, + "Ġreg": 1239, + ")čĊ": 1240, + "ĉpublic": 1241, + "SS": 1242, + "Ġthen": 1243, + "reat": 1244, + "ious": 1245, + ".G": 1246, + "ek": 1247, + "irect": 1248, + "heck": 1249, + "cript": 1250, + "ning": 1251, + "ĠUn": 1252, + "Ġmay": 1253, + "ĠWh": 1254, + "Bo": 1255, + "Item": 1256, + "struct": 1257, + ".st": 1258, + "ream": 1259, + "ible": 1260, + "loat": 1261, + "Ġorg": 1262, + "und": 1263, + "sum": 1264, + "_in": 1265, + "../": 1266, + "_M": 1267, + "Ġhow": 1268, + "rite": 1269, + "'Ċ": 1270, + "To": 1271, + "40": 1272, + "ww": 1273, + "Ġpeople": 1274, + "index": 1275, + ".n": 1276, + "http": 1277, + "(m": 1278, + "ector": 1279, + "Ġind": 1280, + "Ġjav": 1281, + "],Ċ": 1282, + "ĠHe": 1283, + "_st": 1284, + "ful": 1285, + "ole": 1286, + "){Ċ": 1287, + "Ġshould": 1288, + "opy": 1289, + "elp": 1290, + "ier": 1291, + "_name": 1292, + "erson": 1293, + "ION": 1294, + "ote": 1295, + "Ġtest": 1296, + "Ġbet": 1297, + "rror": 1298, + "ular": 1299, + "ãĢ": 1300, + "ĠÐ": 1301, + "bs": 1302, + "ting": 1303, + "Ġmake": 1304, + "Tr": 1305, + "Ġafter": 1306, + "arget": 1307, + "RO": 1308, + "olumn": 1309, + "rc": 1310, + "_re": 1311, + "define": 1312, + "22": 1313, + "Ġright": 1314, + "right": 1315, + "day": 1316, + "Ġlong": 1317, + "[]": 1318, + "(p": 1319, + "td": 1320, + "cond": 1321, + "ĠPro": 1322, + "Ġrem": 1323, + "ptions": 1324, + "vid": 1325, + ".g": 1326, + "Ġext": 1327, + "Ġ__": 1328, + "')Ċ": 1329, + "pace": 1330, + "mp": 1331, + "Ġmin": 1332, + "stance": 1333, + "air": 1334, + "action": 1335, + "wh": 1336, + "type": 1337, + "util": 1338, + "ait": 1339, + "ĊĊ": 1363, + "Ġshe": 1364, + "\"]": 1365, + "aph": 1366, + "Ġexp": 1367, + "erty": 1368, + "ĠSe": 1369, + "Ġpar": 1370, + "unc": 1371, + "ET": 1372, + "Ġread": 1373, + "print": 1374, + "Ġrel": 1375, + "Ġform": 1376, + "Ġdr": 1377, + "Exception": 1378, + "input": 1379, + "Ġtrans": 1380, + "########": 1381, + "order": 1382, + "By": 1383, + "Ġaw": 1384, + "ities": 1385, + "uff": 1386, + "play": 1387, + ".add": 1388, + "ĠâĢĵ": 1389, + "Ġwant": 1390, + "Ġcomp": 1391, + "ments": 1392, + "Ġ||": 1393, + "az": 1394, + "be": 1395, + "Ġnumber": 1396, + "Ġrequire": 1397, + "ĠEx": 1398, + "60": 1399, + "Ġcol": 1400, + "Ġkey": 1401, + "ember": 1402, + "Ġtwo": 1403, + "Ġsize": 1404, + "Ġwhere": 1405, + "UT": 1406, + "result": 1407, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1408, + "ough": 1409, + "orld": 1410, + "ood": 1411, + "uch": 1412, + "ative": 1413, + "ger": 1414, + "arent": 1415, + "Ġ/*": 1416, + "Ġarg": 1417, + "Ġwhile": 1418, + "23": 1419, + "(this": 1420, + "Ġrec": 1421, + "Ġdif": 1422, + "State": 1423, + "Ġspec": 1424, + "ride": 1425, + "_F": 1426, + "Ġlook": 1427, + "AM": 1428, + "ility": 1429, + "eter": 1430, + "âĢĻt": 1431, + "ĊĊĊ": 1432, + "ayout": 1433, + "--------------------------------": 1434, + "ager": 1435, + "Ġcould": 1436, + "Ġbr": 1437, + "ends": 1438, + "ures": 1439, + "Ġknow": 1440, + "ets": 1441, + "ĠIf": 1442, + "ĠSh": 1443, + ".w": 1444, + "back": 1445, + "Ġser": 1446, + "Ġ+=": 1447, + "Ġfr": 1448, + "());Ċ": 1449, + "Ġhand": 1450, + "Ind": 1451, + "ULL": 1452, + "Im": 1453, + "();ĊĊ": 1454, + "Ġmost": 1455, + "Ġtry": 1456, + "Ġnow": 1457, + "rough": 1458, + ">čĊ": 1459, + "ackage": 1460, + "Ġhim": 1461, + "._": 1462, + "ify": 1463, + "Ġbreak": 1464, + "Ġ);Ċ": 1465, + "ren": 1466, + "#define": 1467, + "itt": 1468, + "Ġap": 1469, + "ĉc": 1470, + "(n": 1471, + "ĠYou": 1472, + ":ĊĊ": 1473, + "-m": 1474, + "Ġevery": 1475, + "ustom": 1476, + "lient": 1477, + "ocument": 1478, + "cription": 1479, + "Error": 1480, + "-b": 1481, + "о": 1482, + "][": 1483, + "99": 1484, + "trans": 1485, + "Ġpoint": 1486, + "Ġstd": 1487, + "Ġfil": 1488, + "Time": 1489, + "80": 1490, + "Ġmod": 1491, + "Ġ->": 1492, + "Ġerror": 1493, + "ah": 1494, + "Ġtext": 1495, + "roller": 1496, + "lose": 1497, + "ql": 1498, + "Ġpol": 1499, + "><": 1822, + ".B": 1823, + "-c": 1824, + "Ġopen": 1825, + "Ġest": 1826, + "ĠĠĠĠĠĠĠĠĊ": 1827, + "Ġnext": 1828, + "IM": 1829, + "ÑĤ": 1830, + "OT": 1831, + "ó": 1832, + "Ġfollow": 1833, + "content": 1834, + "ĠĠĠĠĠĠĠĠĠĠĠĠ": 1835, + "Ġinclud": 1836, + "HE": 1837, + "ĠRes": 1838, + "Ġhref": 1839, + "и": 1840, + "Ġcar": 1841, + "ypes": 1842, + "image": 1843, + "Un": 1844, + "Ġbool": 1845, + "AD": 1846, + "Ġgame": 1847, + ".Form": 1848, + "rows": 1849, + "*/": 1850, + "velop": 1851, + ".Drawing": 1852, + "Ġpath": 1853, + "ision": 1854, + "Ġeach": 1855, + "ĠPl": 1856, + "_type": 1857, + "Path": 1858, + "nection": 1859, + "Ġav": 1860, + "').": 1861, + "Ġsupport": 1862, + "ENT": 1863, + "rem": 1864, + "\").": 1865, + "Ġown": 1866, + "Ġcor": 1867, + "count": 1868, + "miss": 1869, + "ually": 1870, + "Ġmem": 1871, + "std": 1872, + "ience": 1873, + "search": 1874, + "\"ĊĊ": 1875, + "Form": 1876, + "Ġsex": 1877, + "ename": 1878, + "Ġsign": 1879, + "Ġet": 1880, + "ĠĠĠĠĠĠĠĠĠĠ": 1881, + "','": 1882, + "ĠApp": 1883, + "Ġthose": 1884, + "off": 1885, + "Ġerr": 1886, + "Ġsystem": 1887, + "Ġbest": 1888, + "code": 1889, + "Ġsame": 1890, + "Ġdi": 1891, + "uss": 1892, + "Ġcreate": 1893, + "ather": 1894, + "Array": 1895, + ".in": 1896, + "fe": 1897, + "Service": 1898, + "UN": 1899, + "ats": 1900, + "ĠZ": 1901, + "alth": 1902, + "Ġmade": 1903, + "true": 1904, + "AB": 1905, + "Ġmark": 1906, + "rid": 1907, + "ified": 1908, + ",čĊ": 1909, + "yn": 1910, + "press": 1911, + "Ġgroup": 1912, + "Ġfin": 1913, + "ĠLicense": 1914, + "Field": 1915, + "eger": 1916, + "Ġworld": 1917, + "iness": 1918, + "ty": 1919, + "Ġprocess": 1920, + "(b": 1921, + "Ġcre": 1922, + "arn": 1923, + "ives": 1924, + "Ġmain": 1925, + "ideo": 1926, + "36": 1927, + "_g": 1928, + "AG": 1929, + "valid": 1930, + "img": 1931, + "PI": 1932, + "Ġcolor": 1933, + "Ġreport": 1934, + "Ġtake": 1935, + "rib": 1936, + "OM": 1937, + "Ġday": 1938, + "Request": 1939, + "Ġsk": 1940, + "bers": 1941, + "ĉs": 1942, + ".Add": 1943, + "oot": 1944, + "Image": 1945, + "Ġcomple": 1946, + "ollection": 1947, + "Ġtop": 1948, + "Ġfree": 1949, + "AS": 1950, + "De": 1951, + "ĠOn": 1952, + "IG": 1953, + "90": 1954, + "eta": 1955, + "Date": 1956, + "Ġaction": 1957, + "34": 1958, + "Over": 1959, + "itor": 1960, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1961, + "not": 1962, + "Ġindex": 1963, + "her": 1964, + "icon": 1965, + "On": 1966, + ";čĊčĊ": 1967, + "ivity": 1968, + "mand": 1969, + ".Windows": 1970, + "OL": 1971, + "Ġreal": 1972, + "Ġmax": 1973, + "land": 1974, + "....": 1975, + "raph": 1976, + "Ġbuild": 1977, + "leg": 1978, + "assword": 1979, + "?ĊĊ": 1980, + "âĢ¦": 1981, + "ook": 1982, + "uck": 1983, + "Ġmessage": 1984, + "test": 1985, + "ivers": 1986, + "38": 1987, + "Ġinput": 1988, + "Ġart": 1989, + "Ġbetween": 1990, + "Get": 1991, + "enter": 1992, + "ground": 1993, + "ene": 1994, + "á": 1995, + ".length": 1996, + "Node": 1997, + "(i": 1998, + "Class": 1999, + "for": 2000, + "ĠâĢĶ": 2001, + "ten": 2002, + "oin": 2003, + "Ġke": 2004, + "ui": 2005, + "ĠIN": 2006, + "Ġtable": 2007, + "sub": 2008, + "ĠLe": 2009, + "Ġhead": 2010, + "Ġmust": 2011, + "////////////////": 2012, + ".util": 2013, + "Context": 2014, + "Ġorder": 2015, + "Ġmov": 2016, + "over": 2017, + "Ġcontin": 2018, + "Ġsay": 2019, + "static": 2020, + ".Text": 2021, + "ĠclassName": 2022, + "pany": 2023, + "Ġter": 2024, + "head": 2025, + "rg": 2026, + "Ġproduct": 2027, + "This": 2028, + ".âĢĿ": 2029, + "ĠBut": 2030, + "70": 2031, + "loy": 2032, + "Ġdouble": 2033, + "sg": 2034, + "Ġplace": 2035, + ".x": 2036, + "message": 2037, + "Ġinformation": 2038, + "private": 2039, + "Ġoper": 2040, + "ced": 2041, + "db": 2042, + "\">": 2228, + "aterial": 2229, + "iled": 2230, + "Ġput": 2231, + "Qu": 2232, + "ÑĢ": 2233, + "ung": 2234, + "map": 2235, + "ĉĉĉĉĉĉĉĉ": 2236, + "Ġlevel": 2237, + "Component": 2238, + "book": 2239, + "creen": 2240, + "_RE": 2241, + "Ġconfig": 2242, + "ãģ": 2243, + "Or": 2244, + ".data": 2245, + "Ġdocument": 2246, + "\",\"": 2247, + "tribute": 2248, + "ux": 2249, + "Log": 2250, + "ference": 2251, + "post": 2252, + "_e": 2253, + "Ġlocal": 2254, + "andom": 2255, + "assert": 2256, + "Val": 2257, + "lected": 2258, + "ina": 2259, + "atabase": 2260, + "Add": 2261, + "Ġcontent": 2262, + ".print": 2263, + "signed": 2264, + "ric": 2265, + ".\"ĊĊ": 2266, + "Ġfa": 2267, + "!ĊĊ": 2268, + "-f": 2269, + "ived": 2270, + "Ġquest": 2271, + ".ex": 2272, + "Ġfloat": 2273, + "Ġdevelop": 2274, + "оÐ": 2275, + "Map": 2276, + "ading": 2277, + "Ġposs": 2278, + "UE": 2279, + "namespace": 2280, + "_O": 2281, + "ĉb": 2282, + ".Get": 2283, + ">(": 2284, + "json": 2285, + "etails": 2286, + "66": 2287, + "Ġtoo": 2288, + "Ġextends": 2289, + "ĠNone": 2290, + "Ġfore": 2291, + "(String": 2292, + "format": 2293, + "Ġgreat": 2294, + "inter": 2295, + "cale": 2296, + "Ñģ": 2297, + "ron": 2298, + "iving": 2299, + "Ent": 2300, + "ency": 2301, + "xt": 2302, + "oy": 2303, + "05": 2304, + "Ġmonth": 2305, + "Ġhapp": 2306, + "Ġsuper": 2307, + "bar": 2308, + "default": 2309, + "_de": 2310, + "ords": 2311, + "ln": 2312, + "({Ċ": 2313, + "ĠInd": 2314, + "ases": 2315, + "Ġtitle": 2316, + "Ġcontext": 2317, + "08": 2318, + "oh": 2319, + "-p": 2320, + "Em": 2321, + "Ġmet": 2322, + "Test": 2323, + "Ġlife": 2324, + "_v": 2325, + "ĠUS": 2326, + "UI": 2327, + "ocation": 2328, + "md": 2329, + "Ġ[Ċ": 2330, + "Ġ]": 2331, + "sw": 2332, + "Ġincre": 2333, + "script": 2334, + "ential": 2335, + "ways": 2336, + ".de": 2337, + "Ġsrc": 2338, + "Ġcatch": 2339, + "ĠAmeric": 2340, + "//Ċ": 2341, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 2342, + "Ġpay": 2343, + "plit": 2344, + "âĢĶ": 2345, + "Ġcoun": 2346, + "obj": 2347, + ".php": 2348, + "Ġchange": 2349, + "ething": 2350, + "'re": 2351, + "aster": 2352, + "los": 2353, + "lation": 2354, + "ĠĠĊ": 2355, + "Le": 2356, + "ä": 2357, + "({": 2358, + "ready": 2359, + "ĠNo": 2360, + "Ġposition": 2361, + "Ġold": 2362, + "Ġbook": 2363, + "abled": 2364, + "bug": 2365, + "202": 2366, + "Hand": 2367, + "};ĊĊ": 2368, + "isplay": 2369, + "aving": 2370, + "04": 2371, + "Ġgover": 2372, + "Ġversion": 2373, + "System": 2374, + "nect": 2375, + "response": 2376, + "Style": 2377, + "Up": 2378, + "angu": 2379, + "Ġthree": 2380, + "init": 2381, + "ero": 2382, + "Ġlaw": 2383, + "endif": 2384, + "Ġbase": 2385, + "email": 2386, + "(l": 2387, + "_V": 2388, + "Ġconf": 2389, + "ATE": 2390, + "Ġduring": 2391, + "tes": 2392, + "Ġconsole": 2393, + "ĠPr": 2394, + "Ġspe": 2395, + "ves": 2396, + "65": 2397, + "path": 2398, + "ialog": 2399, + "dition": 2400, + "_to": 2401, + "ards": 2402, + "Ġagainst": 2403, + "etwork": 2404, + "ĠPh": 2405, + "_L": 2406, + "cur": 2407, + "imit": 2408, + "With": 2409, + "Ġpower": 2410, + "ium": 2411, + "';ĊĊ": 2412, + "Ġwom": 2413, + "left": 2414, + "ources": 2415, + "atri": 2416, + "ĠIm": 2417, + "ĠMan": 2418, + "orth": 2419, + "${": 2420, + "88": 2421, + "quals": 2422, + "ese": 2423, + "_size": 2424, + "Ġiss": 2425, + "otal": 2426, + "-g": 2427, + "ique": 2428, + "rame": 2429, + "Ġwidth": 2430, + "erg": 2431, + ")(": 2432, + "ittle": 2433, + "TR": 2434, + "ĠThey": 2435, + "ences": 2436, + "02": 2437, + "rl": 2438, + "ons": 2439, + "Ġlabel": 2440, + ".y": 2441, + "-t": 2442, + "update": 2443, + "anel": 2444, + "sc": 2445, + ".to": 2446, + "Ġproject": 2447, + "ü": 2448, + "Ġelement": 2449, + "Ġsuccess": 2450, + "ĉĉĊ": 2451, + ".sh": 2452, + "ram": 2453, + "ched": 2454, + "())Ċ": 2455, + "Ġ(Ċ": 2456, + "Ġdate": 2457, + "Ġtot": 2458, + "_ST": 2459, + "All": 2460, + "ification": 2461, + "ĉvar": 2462, + "Ġtri": 2463, + "chem": 2464, + "my": 2465, + "Ġbig": 2466, + "ĠAd": 2467, + "ĠAt": 2468, + "ots": 2469, + "num": 2470, + "Act": 2471, + "Ġmap": 2472, + "era": 2473, + "cope": 2474, + ".$": 2475, + ",âĢĿ": 2476, + "Ġpop": 2477, + "Ġfew": 2478, + "Ġlen": 2479, + "uid": 2480, + "eters": 2481, + "ules": 2482, + "ÃŃ": 2483, + "source": 2484, + "https": 2485, + "Ġdem": 2486, + "Ġear": 2487, + "################": 2488, + "Ġmatch": 2489, + "ories": 2490, + "49": 2491, + "aces": 2492, + "ĠCl": 2493, + "Ġnode": 2494, + "78": 2495, + "irc": 2496, + "local": 2497, + "unity": 2498, + "};Ċ": 2499, + "Ġanother": 2500, + "<<": 2501, + "ogle": 2502, + "Ġsit": 2503, + "ework": 2504, + "TE": 2505, + ".I": 2506, + "NS": 2507, + "ology": 2508, + "ought": 2509, + ".Cont": 2510, + ">>": 2511, + "Ġcare": 2512, + "state": 2513, + "ĉprivate": 2514, + "Ġeffect": 2515, + "++)": 2516, + "_file": 2517, + "ending": 2518, + "Line": 2519, + "For": 2520, + "ior": 2521, + "ĠSc": 2522, + "Ġfun": 2523, + ".Size": 2524, + "ĉelse": 2525, + "])": 2526, + "start": 2527, + "vious": 2528, + "Ġ},": 2529, + "ours": 2530, + "Ġleg": 2531, + "Ġservice": 2532, + "Ġsince": 2533, + "iron": 2534, + "Label": 2535, + "Ġnon": 2536, + "Ġlos": 2537, + "iction": 2538, + "Ġfull": 2539, + "acter": 2540, + "board": 2541, + "gress": 2542, + "Ġturn": 2543, + "ither": 2544, + "09": 2545, + ".size": 2546, + "Ġbody": 2547, + "resh": 2548, + "eturn": 2549, + "199": 2550, + "(_": 2551, + "yles": 2552, + "ormal": 2553, + "pi": 2554, + "Ġsomething": 2555, + "!--": 2556, + "uint": 2557, + "Ġprodu": 2558, + "Ġstand": 2559, + "Ġproble": 2560, + "Ġavailable": 2561, + "mt": 2562, + "ĠBl": 2563, + "Ġ...": 2564, + "Ġblock": 2565, + "Input": 2566, + "Ġkeep": 2567, + "Count": 2568, + "open": 2569, + "Ġ['": 2570, + "Ġthrow": 2571, + "uilder": 2572, + "Action": 2573, + "Ġthings": 2574, + "True": 2575, + "Ġurl": 2576, + "ĠBo": 2577, + "printf": 2578, + "Ġred": 2579, + "js": 2580, + ".create": 2581, + "ĠOr": 2582, + "Status": 2583, + "Instance": 2584, + "Ġcontrol": 2585, + "Ġcome": 2586, + "Ġcustom": 2587, + "location": 2588, + "07": 2589, + "model": 2590, + "ĠčĊ": 2591, + "Ġsource": 2592, + "Ġeas": 2593, + ".out": 2594, + "]ĊĊ": 2595, + "oney": 2596, + "Ġawait": 2597, + "Ġpartic": 2598, + "AP": 2599, + "ublish": 2600, + "odes": 2601, + "_pro": 2602, + "ply": 2603, + "riter": 2604, + "Ġprov": 2605, + "Ġmill": 2606, + "HT": 2607, + "])Ċ": 2608, + "Ġchang": 2609, + "Ġask": 2610, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 2611, + "Ġoutput": 2612, + "Ġemail": 2613, + "68": 2614, + ".push": 2615, + "Ġ}čĊčĊ": 2616, + "ination": 2617, + "47": 2618, + "atrix": 2619, + "Table": 2620, + "uccess": 2621, + "]);Ċ": 2622, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 2623, + "Ġdisc": 2624, + "([": 2625, + "Ġbusiness": 2626, + "height": 2627, + ".html": 2628, + "ta": 2629, + "field": 2630, + "Ġrequired": 2631, + "_R": 2632, + "Ġgovern": 2633, + "}čĊčĊ": 2634, + "lex": 2635, + "500": 2636, + ".,": 2637, + "ĠSet": 2638, + "urch": 2639, + "///": 2640, + "ts": 2641, + "af": 2642, + "Ġmight": 2643, + "istory": 2644, + "Str": 2645, + "Ġnever": 2646, + "Response": 2647, + "arse": 2648, + "ada": 2649, + "ĠHow": 2650, + "Ġ*)": 2651, + "Ġ;": 2652, + "Ġhard": 2653, + "Ad": 2654, + "Ġintern": 2655, + "used": 2656, + "(data": 2657, + "mod": 2658, + "annel": 2659, + "Ġnp": 2660, + "ugg": 2661, + "Ġ/>Ċ": 2662, + "Ġcalled": 2663, + "body": 2664, + "Ġcho": 2665, + "(r": 2666, + "_set": 2667, + "ird": 2668, + "Ġ>=": 2669, + "Ġ};Ċ": 2670, + "Ġoptions": 2671, + "ĠGener": 2672, + "Ġheight": 2673, + "Point": 2674, + "You": 2675, + "ety": 2676, + "Click": 2677, + "Ġsmall": 2678, + "Ġide": 2679, + "Ġaccess": 2680, + "anguage": 2681, + "Ġprotected": 2682, + "Ġjob": 2683, + "ĠThere": 2684, + "Def": 2685, + "Ġaddress": 2686, + "Ġuint": 2687, + "Not": 2688, + "oo": 2689, + "aps": 2690, + "": 2828, + "ĉĠĠĠ": 2829, + "\"))": 2830, + "Content": 2831, + "_W": 2832, + "plement": 2833, + "Ġwon": 2834, + "Ġvideo": 2835, + "adi": 2836, + "point": 2837, + "%%": 2838, + "03": 2839, + "Ġgl": 2840, + "erved": 2841, + "viron": 2842, + "IF": 2843, + "uted": 2844, + "ãĥ": 2845, + "'m": 2846, + "Ġcert": 2847, + "Ġprof": 2848, + "Ġcell": 2849, + "ari": 2850, + "Ġplayer": 2851, + "ais": 2852, + "Ġcost": 2853, + "Ġhum": 2854, + "(R": 2855, + "Ġoffic": 2856, + "ks": 2857, + ".text": 2858, + "atures": 2859, + "Ġtotal": 2860, + "Ġ*/ĊĊ": 2861, + "ope": 2862, + "Ġstat": 2863, + "UM": 2864, + "Ġload": 2865, + "ights": 2866, + "Ġclear": 2867, + "uro": 2868, + "Ġtechn": 2869, + "upport": 2870, + "IR": 2871, + "Ġrow": 2872, + "Ġseem": 2873, + "Ġq": 2874, + "Ġshort": 2875, + "ĠNot": 2876, + "ipp": 2877, + "Group": 2878, + "section": 2879, + "max": 2880, + "irl": 2881, + "Ġoverride": 2882, + "Ġcompany": 2883, + "Ġdone": 2884, + "\");čĊ": 2885, + "Ġgre": 2886, + ".Re": 2887, + "Ġbelie": 2888, + "rist": 2889, + "Ġhealth": 2890, + "ANT": 2891, + "()ĊĊ": 2892, + "ĠBe": 2893, + ".value": 2894, + "ĠGr": 2895, + "ottom": 2896, + "Ġargs": 2897, + "PT": 2898, + "status": 2899, + "func": 2900, + "uments": 2901, + "-h": 2902, + "Number": 2903, + ":čĊ": 2904, + "ĠLog": 2905, + "erver": 2906, + "Ġ),Ċ": 2907, + "ament": 2908, + "Ġobj": 2909, + "inc": 2910, + "Ġchildren": 2911, + "icy": 2912, + "IZ": 2913, + "ands": 2914, + "ably": 2915, + "Ġdistrib": 2916, + "Ġcur": 2917, + "erial": 2918, + "Ġdays": 2919, + "reated": 2920, + "rect": 2921, + "-l": 2922, + "irm": 2923, + "idden": 2924, + "omb": 2925, + "Ġinitial": 2926, + ".js": 2927, + "Ġâ": 2928, + "Query": 2929, + "Ġonline": 2930, + "imal": 2931, + ".con": 2932, + "au": 2933, + "Url": 2934, + "control": 2935, + "irection": 2936, + "Ġinstance": 2937, + "ORT": 2938, + "ĠFr": 2939, + "where": 2940, + "Ġjavax": 2941, + "Ġorgan": 2942, + "apter": 2943, + "Ġreason": 2944, + "options": 2945, + "59": 2946, + "ĠMar": 2947, + "(a": 2948, + "Ġwithin": 2949, + ".âĢĿĊĊ": 2950, + "ODE": 2951, + "_DE": 2952, + "admin": 2953, + "ended": 2954, + "Ġdesign": 2955, + "ĠData": 2956, + "une": 2957, + "ĠFile": 2958, + "root": 2959, + "Ġcent": 2960, + "Ġarr": 2961, + "_add": 2962, + "len": 2963, + "page": 2964, + ",'": 2965, + "_str": 2966, + "Ġbro": 2967, + "ability": 2968, + "outh": 2969, + "58": 2970, + "/c": 2971, + "pose": 2972, + "irtual": 2973, + "earch": 2974, + "_url": 2975, + "argin": 2976, + "Http": 2977, + "Ġschool": 2978, + "ava": 2979, + "Ġconsider": 2980, + ".label": 2981, + "ĠArray": 2982, + "42": 2983, + "web": 2984, + "opt": 2985, + ".println": 2986, + "ulation": 2987, + "Ġfunc": 2988, + "PL": 2989, + "Ġ\"\\": 2990, + "ĠText": 2991, + "actory": 2992, + "(function": 2993, + "null": 2994, + "Ġeng": 2995, + "down": 2996, + "Ġinclude": 2997, + "ĠEn": 2998, + "ĠDr": 2999, + "Ġdb": 3000, + "!!": 3001, + "side": 3002, + "Ġinit": 3003, + "quired": 3004, + "ĠShe": 3005, + "Column": 3006, + "react": 3007, + "Ġann": 3008, + "Ġstop": 3009, + "Ġlater": 3010, + "ĠThat": 3011, + "ention": 3012, + "df": 3013, + "UG": 3014, + "ILE": 3015, + "Ġclient": 3016, + "raft": 3017, + "ffer": 3018, + "POST": 3019, + "elper": 3020, + "Ġlove": 3021, + "quote": 3022, + "oud": 3023, + "Ġjson": 3024, + "Ġable": 3025, + "Ġmen": 3026, + "AX": 3027, + "ĠCopyright": 3028, + "ö": 3029, + "avig": 3030, + "req": 3031, + "Client": 3032, + "});Ċ": 3033, + ".Com": 3034, + "erc": 3035, + "ilt": 3036, + "pecial": 3037, + "_com": 3038, + "room": 3039, + ".Name": 3040, + "Ġgive": 3041, + "amb": 3042, + "ike": 3043, + "Ġcondition": 3044, + "client": 3045, + "ators": 3046, + ":\"": 3047, + "Ġcopy": 3048, + "uture": 3049, + "iversity": 3050, + "ernal": 3051, + "{{": 3052, + "ĠCan": 3053, + "ounc": 3054, + "do": 3055, + "Ġocc": 3056, + "Ġappro": 3057, + "thers": 3058, + "ze": 3059, + "Ġeither": 3060, + "ĠFl": 3061, + "Ġimportant": 3062, + "Ġlead": 3063, + "attr": 3064, + "ART": 3065, + "Equal": 3066, + "Ġda": 3067, + "etch": 3068, + "entity": 3069, + "Ġfamily": 3070, + "adding": 3071, + "Ġoption": 3072, + "Ġexist": 3073, + "ica": 3074, + "ĠObject": 3075, + "69": 3076, + "'ve": 3077, + "vers": 3078, + "itional": 3079, + "67": 3080, + "output": 3081, + "ĠTrue": 3082, + "ĠOF": 3083, + "_time": 3084, + "Ġoffer": 3085, + "Ġ});ĊĊ": 3086, + "HER": 3087, + "egin": 3088, + "\"\"": 3089, + "Ġwater": 3090, + "Ġche": 3091, + "ĠMy": 3092, + "ored": 3093, + "Ġstep": 3094, + "ances": 3095, + "CK": 3096, + "AY": 3097, + "à¸": 3098, + "struction": 3099, + "(C": 3100, + "300": 3101, + "ouch": 3102, + "Stream": 3103, + "active": 3104, + "ama": 3105, + "Entity": 3106, + "product": 3107, + "(){Ċ": 3108, + "Ġgovernment": 3109, + "ĠID": 3110, + "ajor": 3111, + "And": 3112, + "Ġdisplay": 3113, + "л": 3114, + "Ġtimes": 3115, + "Ġfour": 3116, + "Ġfar": 3117, + "Ġpresent": 3118, + "ĠNS": 3119, + "Ġ\\Ċ": 3120, + "uest": 3121, + "Ġbas": 3122, + "echo": 3123, + "child": 3124, + "ifier": 3125, + "Handler": 3126, + "Ġlib": 3127, + "Property": 3128, + "translation": 3129, + "Ġroom": 3130, + "Ġonce": 3131, + "Ġ[]": 3132, + "center": 3133, + "================================": 3134, + "Ġresults": 3135, + "Ġcontinue": 3136, + "Ġtalk": 3137, + "_get": 3138, + "Ġgrow": 3139, + ".sw": 3140, + "eb": 3141, + "ĠPublic": 3142, + "OP": 3143, + "ecute": 3144, + "ols": 3145, + "Ġ**": 3146, + "\");ĊĊ": 3147, + "Ġmass": 3148, + "ured": 3149, + ".class": 3150, + "omic": 3151, + "Ġmean": 3152, + "ips": 3153, + "Ġaut": 3154, + ");čĊčĊ": 3155, + "Ġuntil": 3156, + "Ġmarket": 3157, + "Ġarea": 3158, + "uit": 3159, + "Ġlength": 3160, + "ĠWith": 3161, + "structor": 3162, + "event": 3163, + "\"><": 3164, + "ĠSp": 3165, + "IV": 3166, + "Ġmus": 3167, + "iff": 3168, + "Ġkind": 3169, + "author": 3170, + "ounds": 3171, + "mb": 3172, + "_key": 3173, + "41": 3174, + "width": 3175, + "pository": 3176, + "Ġlight": 3177, + "uk": 3178, + "Row": 3179, + "ohn": 3180, + "alf": 3181, + "vironment": 3182, + "apper": 3183, + "ollections": 3184, + "Ġside": 3185, + "_info": 3186, + "Ġexample": 3187, + "imary": 3188, + "Ġwr": 3189, + "Ġcamp": 3190, + "cribe": 3191, + "255": 3192, + "\"/": 3193, + "Ġmiss": 3194, + "way": 3195, + "Ġbased": 3196, + "Ġplan": 3197, + "Vis": 3198, + "omain": 3199, + "unk": 3200, + "Ġaway": 3201, + "UP": 3202, + "": 3452, + "Ġden": 3453, + "obile": 3454, + "change": 3455, + "ĠĠĠĠĠĠĠĠĠĠĠĠĊ": 3456, + "ici": 3457, + "na": 3458, + "ĠForm": 3459, + "Ġsort": 3460, + "Select": 3461, + "pare": 3462, + "Ġthought": 3463, + "_con": 3464, + "Ġtask": 3465, + "ocus": 3466, + "ĠDE": 3467, + "ĠMin": 3468, + "Ġopt": 3469, + "ĉbreak": 3470, + "umer": 3471, + "KE": 3472, + "then": 3473, + "Ġdet": 3474, + "ĠTest": 3475, + "ports": 3476, + "Ġreview": 3477, + "('/": 3478, + "move": 3479, + "Ġswitch": 3480, + "ERT": 3481, + "patch": 3482, + "annot": 3483, + "ãĤ": 3484, + "Ġabove": 3485, + "itive": 3486, + "56": 3487, + "Ġquestion": 3488, + "ĠQu": 3489, + "ãĢĤĊĊ": 3490, + "gle": 3491, + "Ġword": 3492, + "Ġprovide": 3493, + "ĠReturn": 3494, + "Ġresearch": 3495, + "ão": 3496, + "ustr": 3497, + "Ġpublish": 3498, + "chema": 3499, + "}}": 3500, + "ĠCON": 3501, + "-in": 3502, + "allback": 3503, + "Ġcover": 3504, + "\\\\": 3505, + "color": 3506, + "ĠIS": 3507, + "Ġwhether": 3508, + "imate": 3509, + "isc": 3510, + "Bar": 3511, + "Ġdiv": 3512, + "Be": 3513, + "ourn": 3514, + "Ġhaving": 3515, + "lem": 3516, + "player": 3517, + "abs": 3518, + "amera": 3519, + "ney": 3520, + "Ġexc": 3521, + "gether": 3522, + "plied": 3523, + "ao": 3524, + "[$": 3525, + "Ġ++": 3526, + "ipe": 3527, + "show": 3528, + "/d": 3529, + "[:": 3530, + "agement": 3531, + "lev": 3532, + "_ID": 3533, + "97": 3534, + "rary": 3535, + "ades": 3536, + "_se": 3537, + "ause": 3538, + "Ġemploy": 3539, + "Ġ*/čĊ": 3540, + "Ġfre": 3541, + "Ġ'@": 3542, + "Ġcomplet": 3543, + "Ġlarge": 3544, + "ral": 3545, + "\\x": 3546, + "Ġfac": 3547, + ">": 3662, + "Ġface": 3663, + "CTION": 3664, + "Ġsave": 3665, + "Ġtyp": 3666, + "dev": 3667, + "(\"#": 3668, + "AGE": 3669, + "container": 3670, + "edit": 3671, + "QL": 3672, + "Ġitems": 3673, + "Ġsocial": 3674, + "ien": 3675, + "ĠReact": 3676, + ").ĊĊ": 3677, + "Ġmar": 3678, + "Ġredu": 3679, + "ĠRE": 3680, + ".put": 3681, + "Ġmajor": 3682, + "Cell": 3683, + "next": 3684, + "Ġexpected": 3685, + "Ġyet": 3686, + "Ġindiv": 3687, + "tributes": 3688, + "atis": 3689, + "amed": 3690, + "Ġfood": 3691, + "Source": 3692, + "(string": 3693, + "Ġ+Ċ": 3694, + "ites": 3695, + "dr": 3696, + "Ġmembers": 3697, + "Ġcomb": 3698, + "items": 3699, + "ĠPer": 3700, + "TH": 3701, + "=True": 3702, + "Ġbar": 3703, + "_SE": 3704, + "comm": 3705, + "(w": 3706, + ")ĊĊĊ": 3707, + "Ġsend": 3708, + "Ġinc": 3709, + "unsigned": 3710, + "FA": 3711, + "Ġparams": 3712, + "apping": 3713, + "ros": 3714, + "ugin": 3715, + "fa": 3716, + "Ġconnection": 3717, + "Ġ};ĊĊ": 3718, + "Ġbecome": 3719, + "Mode": 3720, + "Ġev": 3721, + "Ġdiff": 3722, + "ĠUnited": 3723, + "Height": 3724, + "fully": 3725, + "images": 3726, + "Ġmakes": 3727, + "Ġglobal": 3728, + "Ġcontact": 3729, + "':Ċ": 3730, + "Ġabs": 3731, + "аÐ": 3732, + "float": 3733, + "Ġexcept": 3734, + "ĠPol": 3735, + "Child": 3736, + "typ": 3737, + "Ġcertain": 3738, + "ión": 3739, + "OUT": 3740, + "Ġimpro": 3741, + "iles": 3742, + "Ġ-->Ċ": 3743, + "ĠPart": 3744, + "values": 3745, + "oss": 3746, + "/**": 3747, + "ilit": 3748, + "ĠEvent": 3749, + "curity": 3750, + "ster": 3751, + "Ġcharacter": 3752, + "198": 3753, + "Ġnews": 3754, + "Ġ\",": 3755, + "Ġdevice": 3756, + "cel": 3757, + "login": 3758, + "heet": 3759, + "Default": 3760, + "@\"": 3761, + "ĉĠ": 3762, + "click": 3763, + "(value": 3764, + "ĠAb": 3765, + "Ġprevious": 3766, + "ERROR": 3767, + "ocal": 3768, + "Ġmaterial": 3769, + "Ġbelow": 3770, + "ĠChrist": 3771, + "Ġmedia": 3772, + "cover": 3773, + "ĠUI": 3774, + "Ġfail": 3775, + "Ġblack": 3776, + "Ġcomponent": 3777, + "ĠAmerican": 3778, + "Ġadded": 3779, + "Ġbuy": 3780, + "stit": 3781, + "Ġcame": 3782, + "Ġdelete": 3783, + "property": 3784, + "oding": 3785, + "Ġcard": 3786, + "rops": 3787, + "Ġhttps": 3788, + "Ġroot": 3789, + "Ġhandle": 3790, + "CC": 3791, + "Back": 3792, + "emplate": 3793, + "Ġgetting": 3794, + "_by": 3795, + "mail": 3796, + "_sh": 3797, + ".assert": 3798, + "ĠDec": 3799, + "(true": 3800, + "Ġcomput": 3801, + "Ġclaim": 3802, + "'=>": 3803, + "ĠSub": 3804, + "Ġair": 3805, + "ops": 3806, + "nav": 3807, + "ements": 3808, + "(id": 3809, + "Ġenter": 3810, + "anged": 3811, + "End": 3812, + "Ġlocation": 3813, + "Ġnight": 3814, + "Ġdoing": 3815, + "ĠRed": 3816, + "lin": 3817, + "}ĊĊĊ": 3818, + "vider": 3819, + "Ġpick": 3820, + "Ġwatch": 3821, + "essages": 3822, + "Ġhuman": 3823, + "Ġdam": 3824, + "pend": 3825, + "dir": 3826, + "Ġtax": 3827, + "Ġgirl": 3828, + "reet": 3829, + "Ġbox": 3830, + "Ġstrong": 3831, + "(v": 3832, + "rel": 3833, + "Ġinterface": 3834, + "Ġmsg": 3835, + "fect": 3836, + "_at": 3837, + "Ġhouse": 3838, + "Ġtrack": 3839, + "');ĊĊ": 3840, + "je": 3841, + "ĠJohn": 3842, + "istr": 3843, + "(S": 3844, + "ube": 3845, + "Ġce": 3846, + "itted": 3847, + "VER": 3848, + "*)": 3849, + "parent": 3850, + "Ġapplication": 3851, + "any": 3852, + ".swing": 3853, + "Ġpack": 3854, + "\\u": 3855, + "Ġpract": 3856, + "Ġsection": 3857, + "ctx": 3858, + "Ġunsigned": 3859, + ".Point": 3860, + "ĠOne": 3861, + "ı": 3862, + "iple": 3863, + "aid": 3864, + "Ñĥ": 3865, + "Vector": 3866, + "byte": 3867, + "Ġwait": 3868, + "ĠÃł": 3869, + "Ã¥": 3870, + "Ġtogether": 3871, + "Ġthrows": 3872, + "FO": 3873, + "'))": 3874, + "host": 3875, + "ising": 3876, + ".view": 3877, + "Ġterms": 3878, + "framework": 3879, + "-r": 3880, + "Ġapply": 3881, + "Ġsession": 3882, + "Options": 3883, + "uggest": 3884, + "Ġothers": 3885, + "witter": 3886, + "Ġfund": 3887, + "Init": 3888, + "__(": 3889, + "ensor": 3890, + "GET": 3891, + "Ġseveral": 3892, + "ii": 3893, + "[j": 3894, + "IO": 3895, + "Ġtemplate": 3896, + "Position": 3897, + "Ġecon": 3898, + "achine": 3899, + "Ġil": 3900, + ".spring": 3901, + "main": 3902, + "elt": 3903, + "iment": 3904, + "Rec": 3905, + "mm": 3906, + "ĠUniversity": 3907, + "ursor": 3908, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 3909, + "GL": 3910, + "icture": 3911, + "ithub": 3912, + "cer": 3913, + "cast": 3914, + "From": 3915, + "ales": 3916, + "Ġsubject": 3917, + "password": 3918, + "ny": 3919, + "Ġesc": 3920, + ".write": 3921, + "ï¼Į": 3922, + "What": 3923, + ".H": 3924, + "Ġhistory": 3925, + "ĠFe": 3926, + "Ġindividual": 3927, + "unit": 3928, + "Ġ-->": 3929, + "Ġdu": 3930, + "IST": 3931, + "Ġusers": 3932, + "fs": 3933, + "false": 3934, + "unt": 3935, + "Title": 3936, + "Ġmot": 3937, + "Ġfuture": 3938, + "ached": 3939, + "Ġstarted": 3940, + "Ġmode": 3941, + "Ġ'<": 3942, + "_array": 3943, + "Ġax": 3944, + "'];Ċ": 3945, + "ires": 3946, + "There": 3947, + "ught": 3948, + "tml": 3949, + "posed": 3950, + "icult": 3951, + "Ġtook": 3952, + "Ġgames": 3953, + "Ġ}}": 3954, + "Ġ?>Ċ": 3955, + "Ġproducts": 3956, + "Is": 3957, + "Ġbad": 3958, + "ĠDes": 3959, + ".path": 3960, + "'ĊĊ": 3961, + "ĠPost": 3962, + "avel": 3963, + "(:": 3964, + "150": 3965, + "Ġneeds": 3966, + "Ġknown": 3967, + "Fl": 3968, + "Ġexec": 3969, + "Ġseen": 3970, + "51": 3971, + "ume": 3972, + "Ġborder": 3973, + "Ġlive": 3974, + "temp": 3975, + "Per": 3976, + "Ġvariable": 3977, + "iet": 3978, + "ĠDef": 3979, + "Ġge": 3980, + "eme": 3981, + "_back": 3982, + "first": 3983, + "Ġprovided": 3984, + "////////////////////////////////": 3985, + "Ġfilename": 3986, + "Ġhope": 3987, + "uly": 3988, + "auto": 3989, + "find": 3990, + "_string": 3991, + "btn": 3992, + "itude": 3993, + "Attribute": 3994, + "Ġyoung": 3995, + ".txt": 3996, + "Ġwebsite": 3997, + "ĠProp": 3998, + "Ġey": 3999, + ">();Ċ": 4000, + "ional": 4001, + "ARR": 4002, + "ictionary": 4003, + "urther": 4004, + ".": 4085, + "tx": 4086, + "Ġpur": 4087, + "uel": 4088, + "ymbol": 4089, + "uation": 4090, + "anger": 4091, + "Ġbackground": 4092, + "ecess": 4093, + "efined": 4094, + "........": 4095, + "Ġdescription": 4096, + "Ġrepresent": 4097, + "\"));Ċ": 4098, + "pression": 4099, + "rowser": 4100, + "Ġseries": 4101, + "wards": 4102, + "52": 4103, + "($_": 4104, + "aise": 4105, + "Ġhot": 4106, + "acity": 4107, + "ries": 4108, + "actions": 4109, + "Create": 4110, + "adio": 4111, + "amples": 4112, + "Ġoriginal": 4113, + "ensive": 4114, + "font": 4115, + "stream": 4116, + "using": 4117, + ".springframework": 4118, + "001": 4119, + "server": 4120, + "Ġbill": 4121, + "ACK": 4122, + "ilename": 4123, + "Ġframe": 4124, + "Ġ=Ċ": 4125, + "Edit": 4126, + "adius": 4127, + "Ġdraw": 4128, + "anks": 4129, + "Ġdeter": 4130, + "Ġcomes": 4131, + "_int": 4132, + "Ġforeach": 4133, + "angle": 4134, + "Ġelect": 4135, + "pected": 4136, + "Header": 4137, + "istration": 4138, + "False": 4139, + "ĠGame": 4140, + "Ġfilter": 4141, + "Activity": 4142, + "Ġlarg": 4143, + "inition": 4144, + "Ġ\"<": 4145, + "256": 4146, + "ised": 4147, + "Ġremove": 4148, + "ĠTrans": 4149, + "met": 4150, + "see": 4151, + "Format": 4152, + "Command": 4153, + "ĠEX": 4154, + "None": 4155, + "Ġfront": 4156, + "ASE": 4157, + "ĠRec": 4158, + "oundation": 4159, + "Ġvo": 4160, + "96": 4161, + "=\\\"": 4162, + "(*": 4163, + "Change": 4164, + ".Write": 4165, + "group": 4166, + "ients": 4167, + "uy": 4168, + "****************************************************************": 4169, + "Ġdig": 4170, + "hr": 4171, + "(-": 4172, + "Ġgen": 4173, + "number": 4174, + "vec": 4175, + "urope": 4176, + "entry": 4177, + "LL": 4178, + "Ġste": 4179, + "Valid": 4180, + "'],": 4181, + "_param": 4182, + "Ġselected": 4183, + "Ġaccording": 4184, + "ĠDis": 4185, + "Ġutil": 4186, + "Buffer": 4187, + "_error": 4188, + "Ġassoci": 4189, + "_SIZE": 4190, + "Ġwor": 4191, + "Ġprintf": 4192, + "rag": 4193, + "Âł": 4194, + "DD": 4195, + "ĠVal": 4196, + "Ġactiv": 4197, + "Eng": 4198, + "etime": 4199, + "Ġvirtual": 4200, + "aign": 4201, + "aur": 4202, + "ĠPres": 4203, + "ĠException": 4204, + "Ġanything": 4205, + "ĠOff": 4206, + "Ġhours": 4207, + "Ġwar": 4208, + "Args": 4209, + "aging": 4210, + "Ġmodels": 4211, + "ĠTime": 4212, + "Ob": 4213, + "ams": 4214, + "joy": 4215, + "Ġearly": 4216, + ".read": 4217, + "86": 4218, + "Ġcenter": 4219, + "ĠInitial": 4220, + "Ġlanguage": 4221, + "length": 4222, + "xy": 4223, + "Ġsn": 4224, + "Ġinf": 4225, + "Post": 4226, + "Ġago": 4227, + "Ġeasy": 4228, + "_code": 4229, + "ĠANY": 4230, + "_ch": 4231, + "Ġdownload": 4232, + "(T": 4233, + "aved": 4234, + "âĢĵ": 4235, + "Ġstudents": 4236, + "Ġfig": 4237, + "light": 4238, + "xx": 4239, + "Ġbuffer": 4240, + "ĠDep": 4241, + "ĠMath": 4242, + "ITH": 4243, + "Ġvari": 4244, + "Ġdue": 4245, + "Factory": 4246, + "Ġpor": 4247, + "Ġep": 4248, + "otype": 4249, + "Ġcannot": 4250, + "Ġwhite": 4251, + "čĊ": 4524, + ".annot": 4525, + "Ġcollection": 4526, + "'.": 4527, + "Ġsimilar": 4528, + "Ġtaken": 4529, + "(\"%": 4530, + "Order": 4531, + "']Ċ": 4532, + "-md": 4533, + "ĠTH": 4534, + "aced": 4535, + "Ġisn": 4536, + "/j": 4537, + "Ġson": 4538, + "graph": 4539, + "ĠInteger": 4540, + "Ġnecess": 4541, + "reen": 4542, + "Ġum": 4543, + "Ġ\\<": 4544, + "Ġmoment": 4545, + "Ġbring": 4546, + "Ġindic": 4547, + "ysis": 4548, + "Level": 4549, + "verse": 4550, + "urrenc": 4551, + "_test": 4552, + "Ġentire": 4553, + "Down": 4554, + "Ġ}ĊĊĊ": 4555, + "(result": 4556, + "ĠRead": 4557, + "è": 4558, + "Mod": 4559, + "Ġtrying": 4560, + "\"),Ċ": 4561, + "Ġmember": 4562, + "ĠCor": 4563, + "ODO": 4564, + "-control": 4565, + "untime": 4566, + "ĠSim": 4567, + "Dialog": 4568, + "plot": 4569, + "_on": 4570, + "Ġphys": 4571, + "}/": 4572, + "Ġnamespace": 4573, + "ĉčĊ": 4574, + "acc": 4575, + "Player": 4576, + "ARE": 4577, + "89": 4578, + "Ġfoot": 4579, + "Ġboard": 4580, + "part": 4581, + "Ġsus": 4582, + "wise": 4583, + "ĠMc": 4584, + "Ġpush": 4585, + "ATA": 4586, + "Ġplease": 4587, + "ried": 4588, + "weet": 4589, + "bit": 4590, + "ided": 4591, + "VE": 4592, + "ĠSw": 4593, + "UB": 4594, + "Ġtypes": 4595, + "edia": 4596, + "Ġclos": 4597, + "acebook": 4598, + "When": 4599, + "Ġedit": 4600, + "igger": 4601, + "Ġenerg": 4602, + "Container": 4603, + "Ġphot": 4604, + "ĠCount": 4605, + "ĠEurope": 4606, + ".Is": 4607, + "ĠRuss": 4608, + "peed": 4609, + "ĠStr": 4610, + "Ġpy": 4611, + "Ġcult": 4612, + "Ġdefined": 4613, + "ccount": 4614, + "Ġobt": 4615, + ".Location": 4616, + "Ġthread": 4617, + "ille": 4618, + "Ġinstead": 4619, + "strong": 4620, + "ĠSec": 4621, + "URE": 4622, + "Ġidea": 4623, + ".se": 4624, + "emy": 4625, + "selected": 4626, + "Connection": 4627, + "acing": 4628, + "thread": 4629, + ".next": 4630, + "Ġcoll": 4631, + "Ġfilm": 4632, + "istic": 4633, + "Ġcompet": 4634, + "Ġconn": 4635, + "though": 4636, + "Ġcompan": 4637, + "ocket": 4638, + "Ġteach": 4639, + "=(": 4640, + "Ġphone": 4641, + "Ġactive": 4642, + "79": 4643, + "delete": 4644, + "101": 4645, + "tries": 4646, + "Ġmo": 4647, + "Ġdeath": 4648, + "});ĊĊ": 4649, + "ocol": 4650, + "Widget": 4651, + "Ġarticle": 4652, + "rodu": 4653, + "andid": 4654, + "Ñĭ": 4655, + "ĠCr": 4656, + "ka": 4657, + "():": 4658, + "lood": 4659, + "ĉĉĉĊ": 4660, + "Ġalmost": 4661, + "Ġsell": 4662, + "ervlet": 4663, + "rip": 4664, + "Unit": 4665, + "Ġapplic": 4666, + "Ġconnect": 4667, + "Ġfeature": 4668, + "Ġvia": 4669, + "'),": 4670, + "Ġlim": 4671, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 4672, + "ĠGu": 4673, + "Engine": 4674, + "Ġens": 4675, + "Ġenvironment": 4676, + "block": 4677, + "HERE": 4678, + "NULL": 4679, + "gy": 4680, + "tag": 4681, + ")).": 4682, + "exp": 4683, + "Ġcompl": 4684, + "Ġinstall": 4685, + "Ġcomplete": 4686, + "queue": 4687, + "atural": 4688, + "Ġgeneral": 4689, + "thon": 4690, + "Ġasked": 4691, + "ores": 4692, + "(res": 4693, + "Ġreserved": 4694, + "SP": 4695, + "ĠâĢ¦": 4696, + "ÅĤ": 4697, + "Ġsignific": 4698, + "Off": 4699, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 4700, + "ĠAg": 4701, + "ĠJust": 4702, + "ĠError": 4703, + "Ġinfl": 4704, + "adata": 4705, + "Ġicon": 4706, + "asks": 4707, + "''": 4708, + "_LO": 4709, + "?.": 4710, + "account": 4711, + "Ġ(*": 4712, + "')ĊĊ": 4713, + "rap": 4714, + "_var": 4715, + "ĠFOR": 4716, + "Ġparty": 4717, + "ĠYour": 4718, + "cat": 4719, + "stry": 4720, + ".new": 4721, + "boot": 4722, + "ĠNov": 4723, + "Ġvector": 4724, + "Ġnormal": 4725, + "Ġfurther": 4726, + "Repository": 4727, + "800": 4728, + "Ġdatabase": 4729, + "attle": 4730, + "Ġmusic": 4731, + "Ġspeed": 4732, + "Ġdoc": 4733, + "process": 4734, + "IGHT": 4735, + ".parse": 4736, + "Ġtaking": 4737, + "Ġviol": 4738, + "ceed": 4739, + "ĠAfter": 4740, + "Ġforward": 4741, + "Ġcrit": 4742, + "\"/>Ċ": 4743, + "rot": 4744, + "Ġfailed": 4745, + "efore": 4746, + "Ġconcern": 4747, + "oe": 4748, + "ba": 4749, + "Ġsender": 4750, + "Ġterm": 4751, + "has": 4752, + "=\"#": 4753, + "Ġpotential": 4754, + "Num": 4755, + "Ġpublished": 4756, + ".close": 4757, + "ĠImage": 4758, + "straint": 4759, + "UD": 4760, + "ĠOb": 4761, + "Ġprobably": 4762, + "lim": 4763, + "\":Ċ": 4764, + "olume": 4765, + "Ġconsum": 4766, + "76": 4767, + "ague": 4768, + "ensions": 4769, + "Ġinvestig": 4770, + "-year": 4771, + "');": 4772, + "-sm": 4773, + "Ġenjoy": 4774, + "orig": 4775, + "ering": 4776, + "cp": 4777, + "leased": 4778, + "plements": 4779, + "Ġreturns": 4780, + "pat": 4781, + "BO": 4782, + "ĠHouse": 4783, + ".Label": 4784, + "Ġweight": 4785, + "ighb": 4786, + "Ġconditions": 4787, + "Ġexception": 4788, + "description": 4789, + "Ġtrad": 4790, + "-to": 4791, + "Ġ{}": 4792, + "Ġmodule": 4793, + "END": 4794, + ".ap": 4795, + ".props": 4796, + "Ġconstructor": 4797, + "aves": 4798, + "Ġfavor": 4799, + "ĠNow": 4800, + ";i": 4801, + "ĠMain": 4802, + "_k": 4803, + "eries": 4804, + "âĢĻll": 4805, + "transform": 4806, + "imestamp": 4807, + "Pre": 4808, + "Ġmer": 4809, + ".res": 4810, + "stant": 4811, + "Location": 4812, + "_NAME": 4813, + "Ġloss": 4814, + "ĠĊĊ": 4815, + "net": 4816, + "Ġengine": 4817, + "Block": 4818, + "Ġissues": 4819, + "Ġparse": 4820, + "ĠBar": 4821, + "Ġstay": 4822, + "ĠJSON": 4823, + "Ġdom": 4824, + "airs": 4825, + "wner": 4826, + "Ġlower": 4827, + "\",čĊ": 4828, + "ĠDem": 4829, + "ufact": 4830, + "Ġps": 4831, + "Ġperfect": 4832, + "RL": 4833, + "Ġeduc": 4834, + "ls": 4835, + "emory": 4836, + "ARRANT": 4837, + "uge": 4838, + "Ġexact": 4839, + ".key": 4840, + "alled": 4841, + "ech": 4842, + "ief": 4843, + "\\/": 4844, + "oke": 4845, + "Ġformer": 4846, + "alloc": 4847, + "Ġsix": 4848, + "ida": 4849, + "Ġmargin": 4850, + "Ġheart": 4851, + "ald": 4852, + "pack": 4853, + ".getElementById": 4854, + "ĠWARRANT": 4855, + "Ġrather": 4856, + "Ġbuilding": 4857, + "erman": 4858, + "lice": 4859, + "Ġquestions": 4860, + "izes": 4861, + "lege": 4862, + "irectory": 4863, + "Ġje": 4864, + "Ġcas": 4865, + "props": 4866, + "utf": 4867, + "Ġsecurity": 4868, + "Ġhowever": 4869, + "weight": 4870, + "Ġinside": 4871, + "Ġpresident": 4872, + "Char": 4873, + "ĠWITH": 4874, + ".map": 4875, + "Ġgraph": 4876, + "Ġtag": 4877, + "_status": 4878, + "Ġattempt": 4879, + "opp": 4880, + "uses": 4881, + "ĉconst": 4882, + "Ġround": 4883, + ",$": 4884, + "Ġfriends": 4885, + "Email": 4886, + "?>": 4887, + "Resource": 4888, + "KEY": 4889, + "osp": 4890, + ".query": 4891, + "ĠNorth": 4892, + "ables": 4893, + "istrib": 4894, + "_class": 4895, + "ello": 4896, + "That": 4897, + "к": 4898, + "pecially": 4899, + "ĠPresident": 4900, + "Ġcampaign": 4901, + "Ġalt": 4902, + "area": 4903, + "Ġchall": 4904, + "Ġopport": 4905, + ".Con": 4906, + "Ġenergy": 4907, + "like": 4908, + ".string": 4909, + "ington": 4910, + ")*": 4911, + "yy": 4912, + "Ġprofession": 4913, + "irth": 4914, + "Ġseg": 4915, + "æľ": 4916, + "Ġhor": 4917, + "iers": 4918, + "can": 4919, + "Ġbehind": 4920, + "Product": 4921, + "fg": 4922, + "ĠSk": 4923, + ".jpg": 4924, + "?:": 4925, + "];ĊĊ": 4926, + "Ġcallback": 4927, + "ĠHttp": 4928, + "ÑĮ": 4929, + "long": 4930, + "MS": 4931, + "ATH": 4932, + "Ġraise": 4933, + "Ġwanted": 4934, + "rown": 4935, + "utor": 4936, + "lt": 4937, + "]=": 4938, + "eline": 4939, + "MA": 4940, + "Ġsepar": 4941, + "cs": 4942, + "semb": 4943, + "Dis": 4944, + "bserv": 4945, + "ĠWill": 4946, + "Ġpolicy": 4947, + "Ġthird": 4948, + "phone": 4949, + "Ġbed": 4950, + "/g": 4951, + ".__": 4952, + "ĠInc": 4953, + "izing": 4954, + ".remove": 4955, + "instance": 4956, + ".type": 4957, + "Ġserv": 4958, + "Each": 4959, + "Ġhar": 4960, + "ĠMessage": 4961, + "(key": 4962, + "SELECT": 4963, + "Pos": 4964, + "));čĊ": 4965, + "Ġrecomm": 4966, + "Ġtraining": 4967, + "ĠEnt": 4968, + "ĠChar": 4969, + "icht": 4970, + "(file": 4971, + "Ġprior": 4972, + "Game": 4973, + "Ġexit": 4974, + "Params": 4975, + ".core": 4976, + "PC": 4977, + "nes": 4978, + "anced": 4979, + "(request": 4980, + "Password": 4981, + "}>Ċ": 4982, + "Ġmag": 4983, + "Ġrelease": 4984, + "Ġshall": 4985, + "udent": 4986, + "ĠSouth": 4987, + "ando": 4988, + ":'": 4989, + ".TabIndex": 4990, + "sk": 4991, + "anner": 4992, + "isset": 4993, + "Ġoutside": 4994, + "ledge": 4995, + "Ġå": 4996, + "ĠRob": 4997, + "Ġimm": 4998, + "!Ċ": 4999, + "ĠWeb": 5000, + "Des": 5001, + "BC": 5002, + "ancial": 5003, + "Route": 5004, + "Dec": 5005, + "ferences": 5006, + "Ġpurch": 5007, + "ĠModel": 5008, + "ctor": 5009, + "gn": 5010, + "_start": 5011, + "_un": 5012, + ".*": 5013, + "ises": 5014, + "Ġground": 5015, + "Ġunique": 5016, + "Ġbeaut": 5017, + "{\"": 5018, + "Ġpour": 5019, + "ĠOct": 5020, + "Ġtree": 5021, + "sets": 5022, + "_res": 5023, + "')->": 5024, + "_reg": 5025, + "(\"\\": 5026, + "Ġbyte": 5027, + "Bl": 5028, + "Ġdating": 5029, + "Ġmatter": 5030, + "ĠRem": 5031, + "Ġ'../": 5032, + "ĠAug": 5033, + "ĠLa": 5034, + "Ġ$(": 5035, + "ournal": 5036, + "111": 5037, + "iam": 5038, + "Ġshows": 5039, + "write": 5040, + "Ġball": 5041, + "Ġsimply": 5042, + "Ġfast": 5043, + "Ġmemory": 5044, + "ASS": 5045, + "ĠOf": 5046, + "oved": 5047, + "ante": 5048, + "aul": 5049, + "istry": 5050, + ")));Ċ": 5051, + "Ġfit": 5052, + "_": 5239, + "\")ĊĊ": 5240, + "ox": 5241, + "application": 5242, + "Ġ]Ċ": 5243, + "ĊĊĊĊĊĊ": 5244, + "180": 5245, + "Ġsoon": 5246, + "ctions": 5247, + "inger": 5248, + "Ġjoin": 5249, + "ĠPe": 5250, + "Ġë": 5251, + "Ġlas": 5252, + ".E": 5253, + "css": 5254, + "/or": 5255, + "ĠStart": 5256, + "ĠTO": 5257, + "Ġsubs": 5258, + "conn": 5259, + "components": 5260, + "DEBUG": 5261, + "quare": 5262, + "Function": 5263, + "endar": 5264, + ".index": 5265, + "Ġfill": 5266, + "ÄĻ": 5267, + "Ġchoose": 5268, + "how": 5269, + "ĠAmerica": 5270, + "assets": 5271, + "------------": 5272, + "ĠValue": 5273, + "Ġoffice": 5274, + "Ġveh": 5275, + "Ġtransform": 5276, + "ĠArt": 5277, + "Ġinde": 5278, + "Ġfn": 5279, + "Ġimplements": 5280, + "ango": 5281, + "plete": 5282, + "+\"": 5283, + "tmp": 5284, + "amily": 5285, + "Ġhash": 5286, + "missions": 5287, + "EST": 5288, + "gt": 5289, + "Provider": 5290, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 5291, + "Ġflag": 5292, + "Ġparticip": 5293, + "den": 5294, + "ĠReturns": 5295, + "Ġnote": 5296, + "ür": 5297, + "pm": 5298, + "ideos": 5299, + "Ġspecified": 5300, + "ĠEN": 5301, + "ester": 5302, + "olid": 5303, + "Ġupon": 5304, + "(std": 5305, + "ĉv": 5306, + "Ġ'\\": 5307, + "uz": 5308, + "Ġvert": 5309, + "Ġvict": 5310, + "ĉself": 5311, + "Ġ\"$": 5312, + "85": 5313, + ".k": 5314, + "Ġgroups": 5315, + "github": 5316, + "lang": 5317, + "Ġmut": 5318, + "TO": 5319, + "Ġve": 5320, + "ĠPlease": 5321, + ";ĊĊĊ": 5322, + "access": 5323, + "Ġ{\"": 5324, + "rea": 5325, + "Ġrisk": 5326, + "icker": 5327, + "oggle": 5328, + "ĉwhile": 5329, + "ANG": 5330, + ".send": 5331, + "72": 5332, + "Ġwoman": 5333, + "Ġgets": 5334, + "Ġign": 5335, + "ĠId": 5336, + "_log": 5337, + "ONE": 5338, + "Ġevid": 5339, + "ĠHar": 5340, + "_sub": 5341, + "Ġendl": 5342, + "Ġincluded": 5343, + "());ĊĊ": 5344, + "ĠAp": 5345, + "igr": 5346, + "Ġsem": 5347, + "ĠBlack": 5348, + "doc": 5349, + "_table": 5350, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 5351, + "-up": 5352, + "Ġcause": 5353, + "Ġ..": 5354, + "Ġvan": 5355, + "_dict": 5356, + "Ġfocus": 5357, + "IND": 5358, + "CESS": 5359, + ".Log": 5360, + "Ġmultiple": 5361, + "ido": 5362, + "Ġregard": 5363, + "-M": 5364, + "andler": 5365, + "ourse": 5366, + "Ġdeg": 5367, + ".U": 5368, + "Ġaddition": 5369, + "Ġvarious": 5370, + "Ġreceive": 5371, + "ен": 5372, + "ĠHT": 5373, + "Obj": 5374, + "DF": 5375, + "Ġincrease": 5376, + "ĠOpen": 5377, + "];": 5378, + "Ġcommit": 5379, + "?Ċ": 5380, + "ategories": 5381, + "atory": 5382, + "ship": 5383, + "ĠMich": 5384, + "Ġhtml": 5385, + "romise": 5386, + "Ġleave": 5387, + "Ġstrateg": 5388, + "aven": 5389, + "ĠConsole": 5390, + "known": 5391, + "-n": 5392, + "_LE": 5393, + ".component": 5394, + "Ġbre": 5395, + "Session": 5396, + "iance": 5397, + "Ġalign": 5398, + "typedef": 5399, + "_result": 5400, + "ĠWHERE": 5401, + ".split": 5402, + "Ġreading": 5403, + "FAULT": 5404, + "Ġclo": 5405, + "Ġnotice": 5406, + "_pr": 5407, + "arter": 5408, + "Ġlock": 5409, + "Ġstandard": 5410, + "etic": 5411, + "ellow": 5412, + "Ġpadding": 5413, + "ĠHis": 5414, + "Ġstates": 5415, + "_cast": 5416, + "(P": 5417, + "aa": 5418, + "Ġinternal": 5419, + "ean": 5420, + "ĠPRO": 5421, + "ĠKey": 5422, + "Ġespecially": 5423, + "ming": 5424, + "Ġcross": 5425, + "Ġnational": 5426, + "_object": 5427, + "filter": 5428, + "Ġscript": 5429, + ".update": 5430, + "_i": 5431, + "ĠAssert": 5432, + "/core": 5433, + "%%%%": 5434, + "Ġproblems": 5435, + "istor": 5436, + "Ġ.=": 5437, + "Ġarch": 5438, + "Ġwritten": 5439, + "Ġmilit": 5440, + "MENT": 5441, + ".ch": 5442, + "cape": 5443, + "ĠMus": 5444, + "_config": 5445, + "ĠAPI": 5446, + "foot": 5447, + "Ġimages": 5448, + "endl": 5449, + ".In": 5450, + "First": 5451, + "Ġplatform": 5452, + ".prot": 5453, + "Option": 5454, + "ste": 5455, + "ĠTODO": 5456, + "Ġforce": 5457, + ".cont": 5458, + "ĉecho": 5459, + "ĠDav": 5460, + "Ptr": 5461, + "(B": 5462, + "RT": 5463, + "ĠBase": 5464, + "]['": 5465, + "Ġannounc": 5466, + "console": 5467, + "ĠPy": 5468, + "ds": 5469, + ".as": 5470, + "Ġprevent": 5471, + "apan": 5472, + "Ġ{'": 5473, + "}'": 5709, + "Ġdead": 5710, + "VAL": 5711, + "QUE": 5712, + "************************************************************************": 5713, + "Ġcharg": 5714, + "Return": 5715, + "Ġful": 5716, + "dom": 5717, + "Ġrules": 5718, + "Ġmodify": 5719, + "Ġeval": 5720, + "ham": 5721, + "atement": 5722, + "\\<": 5723, + "ula": 5724, + "=False": 5725, + "RA": 5726, + "Ġcontains": 5727, + "74": 5728, + "Ġstack": 5729, + "mar": 5730, + "Ġ{}Ċ": 5731, + "Ġundefined": 5732, + "Ass": 5733, + "ĠChina": 5734, + "vey": 5735, + "*Ċ": 5736, + "Ġplaying": 5737, + ")/": 5738, + "actor": 5739, + "Ġbottom": 5740, + "lier": 5741, + "ĠNumber": 5742, + "Ġcouple": 5743, + "DC": 5744, + "ĠSO": 5745, + "gor": 5746, + ".setText": 5747, + "success": 5748, + "command": 5749, + "Filter": 5750, + "ĠOur": 5751, + "_item": 5752, + "Ġctx": 5753, + "Ġroad": 5754, + "Version": 5755, + "case": 5756, + "urt": 5757, + "avior": 5758, + "ych": 5759, + "sembly": 5760, + "ĠProduct": 5761, + "Ġheld": 5762, + "afe": 5763, + "Ġincludes": 5764, + "&": 5909, + "CON": 5910, + "Ġrepl": 5911, + "Ġregular": 5912, + "Storage": 5913, + "ramework": 5914, + "Ġgoal": 5915, + "Ġtouch": 5916, + ".widget": 5917, + "Ġbuilt": 5918, + "des": 5919, + "Part": 5920, + "(re": 5921, + "Ġworth": 5922, + "hib": 5923, + "game": 5924, + "91": 5925, + "192": 5926, + "Ġв": 5927, + "acion": 5928, + "ĠWhite": 5929, + "(type": 5930, + "(`": 5931, + "81": 5932, + "Ġnatural": 5933, + "Ġinj": 5934, + "Ġcalcul": 5935, + "ĠApril": 5936, + ".List": 5937, + "Ġassociated": 5938, + "ĉSystem": 5939, + "~~": 5940, + "=[": 5941, + "Ġstorage": 5942, + "Ġbytes": 5943, + "Ġtravel": 5944, + "Ġsou": 5945, + "Ġpassed": 5946, + "!=": 5947, + "ascript": 5948, + ".open": 5949, + "Ġgrid": 5950, + "Ġbus": 5951, + "Ġrecogn": 5952, + "Ab": 5953, + "Ġhon": 5954, + "ĠCenter": 5955, + "Ġprec": 5956, + "build": 5957, + "73": 5958, + "HTML": 5959, + "ĠSan": 5960, + "Ġcountries": 5961, + "aled": 5962, + "token": 5963, + "kt": 5964, + "Ġqual": 5965, + "Last": 5966, + "adow": 5967, + "Ġmanufact": 5968, + "idad": 5969, + "jango": 5970, + "Next": 5971, + "xf": 5972, + ".a": 5973, + "Ġporno": 5974, + "ĠPM": 5975, + "erve": 5976, + "iting": 5977, + "_th": 5978, + "ci": 5979, + "=None": 5980, + "gs": 5981, + "Ġlogin": 5982, + "atives": 5983, + "']);Ċ": 5984, + "Äħ": 5985, + "Ġill": 5986, + "IA": 5987, + "children": 5988, + "DO": 5989, + "Ġlevels": 5990, + "Ġ{{": 5991, + "Ġlooks": 5992, + "Ġ\"#": 5993, + "ToString": 5994, + "Ġnecessary": 5995, + "ĠĠĠĊ": 5996, + "cell": 5997, + "Entry": 5998, + "Ġ'#": 5999, + "Ġextrem": 6000, + "Selector": 6001, + "Ġplaceholder": 6002, + "Load": 6003, + "Ġreleased": 6004, + "ORE": 6005, + "Enumer": 6006, + "ĠTV": 6007, + "SET": 6008, + "inq": 6009, + "Press": 6010, + "ĠDepartment": 6011, + "Ġproperties": 6012, + "Ġrespond": 6013, + "Search": 6014, + "ael": 6015, + "Ġrequ": 6016, + "ĠBook": 6017, + "/Ċ": 6018, + "(st": 6019, + "Ġfinancial": 6020, + "icket": 6021, + "_input": 6022, + "Ġthreat": 6023, + "(in": 6024, + "Strip": 6025, + "ìĿ": 6026, + "ção": 6027, + "71": 6028, + "Ġevidence": 6029, + "));": 6030, + "ĠBro": 6031, + "Ġ[];Ċ": 6032, + "Ġou": 6033, + "buf": 6034, + "Script": 6035, + "dat": 6036, + "Ġrule": 6037, + "#import": 6038, + "=\"/": 6039, + "Serial": 6040, + "Ġstarting": 6041, + "[index": 6042, + "ae": 6043, + "Ġcontrib": 6044, + "session": 6045, + "_new": 6046, + "utable": 6047, + "ober": 6048, + "Ġ\"./": 6049, + "Ġlogger": 6050, + "Ġrecently": 6051, + "Ġreturned": 6052, + "ččĊ": 6053, + ")))Ċ": 6054, + "itions": 6055, + "Ġseek": 6056, + "Ġcommunic": 6057, + "Ġ\".": 6058, + "Ġusername": 6059, + "ECT": 6060, + "DS": 6061, + "Ġotherwise": 6062, + "ĠGerman": 6063, + ".aw": 6064, + "Adapter": 6065, + "ixel": 6066, + "Ġsystems": 6067, + "Ġdrop": 6068, + "83": 6069, + "Ġstructure": 6070, + "Ġ$(\"#": 6071, + "encies": 6072, + "anning": 6073, + "ĠLink": 6074, + "ĠResponse": 6075, + "Ġstri": 6076, + "ż": 6077, + "ĠDB": 6078, + "æĹ": 6079, + "android": 6080, + "submit": 6081, + "otion": 6082, + "92": 6083, + "(@": 6084, + ".test": 6085, + "82": 6086, + "ĊĊĊĊĊĊĊĊ": 6087, + "];čĊ": 6088, + "Ġdirectly": 6089, + "Ġ\"%": 6090, + "ris": 6091, + "elta": 6092, + "AIL": 6093, + "){čĊ": 6094, + "mine": 6095, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 6096, + "(k": 6097, + "bon": 6098, + "asic": 6099, + "pite": 6100, + "___": 6101, + "Max": 6102, + "Ġerrors": 6103, + "ĠWhile": 6104, + "Ġarguments": 6105, + "Ġensure": 6106, + "Right": 6107, + "-based": 6108, + "Web": 6109, + "Ġ-=": 6110, + "Ġintrodu": 6111, + "ĠInst": 6112, + "ĠWash": 6113, + "ordin": 6114, + "join": 6115, + "Database": 6116, + "Ġgrad": 6117, + "Ġusually": 6118, + "ITE": 6119, + "Props": 6120, + "?>Ċ": 6121, + "ĠGo": 6122, + "@Override": 6123, + "REF": 6124, + "Ġip": 6125, + "ĠAustral": 6126, + "Ġist": 6127, + "ViewById": 6128, + "Ġserious": 6129, + "Ġcustomer": 6130, + ".prototype": 6131, + "odo": 6132, + "cor": 6133, + "Ġdoor": 6134, + "ĠWITHOUT": 6135, + "Ġplant": 6136, + "Ġbegan": 6137, + "Ġdistance": 6138, + "()).": 6139, + "Ġchance": 6140, + "Ġord": 6141, + "came": 6142, + "pragma": 6143, + "Ġprotect": 6144, + "ragment": 6145, + "ĠNode": 6146, + "ening": 6147, + "Ñĩ": 6148, + "Ġroute": 6149, + "ĠSchool": 6150, + "hi": 6151, + "Ġneighb": 6152, + "After": 6153, + "licit": 6154, + "Ġcontr": 6155, + "Ġprimary": 6156, + "AA": 6157, + ".WriteLine": 6158, + "utils": 6159, + "Ġbi": 6160, + "Red": 6161, + ".Linq": 6162, + ".object": 6163, + "Ġleaders": 6164, + "unities": 6165, + "Ġgun": 6166, + "onth": 6167, + "ĠDev": 6168, + "FILE": 6169, + "Ġcomments": 6170, + "_len": 6171, + "arrow": 6172, + "amount": 6173, + "Range": 6174, + "sert": 6175, + "GridView": 6176, + "Ġupdated": 6177, + "ĠMo": 6178, + "Ġinform": 6179, + "ociety": 6180, + "ala": 6181, + "Access": 6182, + "Ġhab": 6183, + "Ġcreat": 6184, + "_arg": 6185, + "ĠJanuary": 6186, + "ĠDay": 6187, + "\")čĊ": 6188, + "uple": 6189, + "document": 6190, + "gorith": 6191, + "menu": 6192, + "ĠOver": 6193, + "bb": 6194, + ".title": 6195, + "_out": 6196, + "Ġled": 6197, + "uri": 6198, + "Ġ?>Ċ": 6235, + "run": 6236, + "Ġscene": 6237, + "(array": 6238, + "device": 6239, + "_title": 6240, + "agon": 6241, + "]čĊ": 6242, + "aby": 6243, + "Ġbecame": 6244, + "boolean": 6245, + "Ġpark": 6246, + "ĠCode": 6247, + "upload": 6248, + "riday": 6249, + "ĠSeptember": 6250, + "Fe": 6251, + "Ġsen": 6252, + "cing": 6253, + "FL": 6254, + "Col": 6255, + "uts": 6256, + "_page": 6257, + "inn": 6258, + "Ġimplied": 6259, + "aling": 6260, + "Ġyourself": 6261, + ".Count": 6262, + "conf": 6263, + "Ġaud": 6264, + "_init": 6265, + ".)": 6266, + "Ġwrote": 6267, + "003": 6268, + "NG": 6269, + ".Error": 6270, + "ä»": 6271, + ".for": 6272, + "Ġequal": 6273, + "ĠRequest": 6274, + "Ġserial": 6275, + "Ġallows": 6276, + "XX": 6277, + "Ġmiddle": 6278, + "chor": 6279, + "195": 6280, + "94": 6281, + "ø": 6282, + "erval": 6283, + ".Column": 6284, + "reading": 6285, + "Ġescort": 6286, + "ĠAugust": 6287, + "Ġquickly": 6288, + "Ġweap": 6289, + "ĠCG": 6290, + "ropri": 6291, + "ho": 6292, + "Ġcop": 6293, + "(struct": 6294, + "ĠBig": 6295, + "Ġvs": 6296, + "Ġfrequ": 6297, + ".Value": 6298, + "Ġactions": 6299, + "Ġproper": 6300, + "Ġinn": 6301, + "Ġobjects": 6302, + "Ġmatrix": 6303, + "avascript": 6304, + "Ġones": 6305, + ".group": 6306, + "Ġgreen": 6307, + "Ġpaint": 6308, + "ools": 6309, + "ycl": 6310, + "encode": 6311, + "olt": 6312, + "comment": 6313, + ".api": 6314, + "Dir": 6315, + "Ġune": 6316, + "izont": 6317, + ".position": 6318, + "Ġdesigned": 6319, + "_val": 6320, + "avi": 6321, + "iring": 6322, + "tab": 6323, + "Ġlayer": 6324, + "Ġviews": 6325, + "Ġreve": 6326, + "rael": 6327, + "ĠON": 6328, + "rics": 6329, + "160": 6330, + "np": 6331, + "Ġcore": 6332, + "());čĊ": 6333, + "Main": 6334, + "Ġexpert": 6335, + "ĉĉčĊ": 6336, + "_en": 6337, + "Ġ/>": 6338, + "utter": 6339, + "IAL": 6340, + "ails": 6341, + "ĠKing": 6342, + "*/ĊĊ": 6343, + "ĠMet": 6344, + "_end": 6345, + "addr": 6346, + "ora": 6347, + "Ġir": 6348, + "Min": 6349, + "Ġsurpr": 6350, + "Ġrepe": 6351, + "Ġdirectory": 6352, + "PUT": 6353, + "-S": 6354, + "Ġelection": 6355, + "haps": 6356, + ".pre": 6357, + "cm": 6358, + "Values": 6359, + "Ġ\"Ċ": 6360, + "column": 6361, + "ivil": 6362, + "Login": 6363, + "inue": 6364, + "93": 6365, + "Ġbeautiful": 6366, + "Ġsecret": 6367, + "(event": 6368, + "Ġchat": 6369, + "ums": 6370, + "Ġorigin": 6371, + "Ġeffects": 6372, + "Ġmanagement": 6373, + "illa": 6374, + "tk": 6375, + "Ġsetting": 6376, + "ĠCour": 6377, + "Ġmassage": 6378, + "ĉend": 6379, + "Ġhappy": 6380, + "Ġfinish": 6381, + "Ġcamera": 6382, + "ĠVer": 6383, + "ĠDemocr": 6384, + "ĠHer": 6385, + "(Q": 6386, + "cons": 6387, + "ita": 6388, + "Ġ'.": 6389, + "{}": 6390, + "ĉC": 6391, + "Ġstuff": 6392, + "194": 6393, + "Ġ:Ċ": 6394, + "ĠAR": 6395, + "Task": 6396, + "hidden": 6397, + "eros": 6398, + "IGN": 6399, + "atio": 6400, + "ĠHealth": 6401, + "olute": 6402, + "Enter": 6403, + "'>": 6404, + "ĠTwitter": 6405, + "ĠCounty": 6406, + "scribe": 6407, + "Ġ=>Ċ": 6408, + "Ġhy": 6409, + "fit": 6410, + "Ġmilitary": 6411, + "Ġsale": 6412, + "required": 6413, + "non": 6414, + "bootstrap": 6415, + "hold": 6416, + "rim": 6417, + "-old": 6418, + "ĠDown": 6419, + "Ġmention": 6420, + "contact": 6421, + "_group": 6422, + "oday": 6423, + "Ġtown": 6424, + "Ġsolution": 6425, + "uate": 6426, + "elling": 6427, + "]->": 6428, + "otes": 6429, + "ental": 6430, + "omen": 6431, + "ospital": 6432, + "ĠSup": 6433, + "_EN": 6434, + "Ġslow": 6435, + "SESSION": 6436, + "Ġblue": 6437, + "ago": 6438, + "Ġlives": 6439, + "Ġ^": 6440, + ".un": 6441, + "inst": 6442, + "enge": 6443, + "Ġcustomers": 6444, + "Ġcast": 6445, + "udget": 6446, + "ï¼ģ": 6447, + "icens": 6448, + "Ġdetermin": 6449, + "Selected": 6450, + "_pl": 6451, + "ueue": 6452, + "Ġdark": 6453, + "//ĊĊ": 6454, + "si": 6455, + "thern": 6456, + "ĠJapan": 6457, + "/w": 6458, + "PU": 6459, + "ĠEast": 6460, + "ovie": 6461, + "Ġpackage": 6462, + "Ġnor": 6463, + "Ġapi": 6464, + "bot": 6465, + "\"];Ċ": 6466, + "_post": 6467, + "ulate": 6468, + "Ġclub": 6469, + "'));Ċ": 6470, + "Ġloop": 6471, + "PIO": 6472, + "ione": 6473, + "shot": 6474, + "Initial": 6475, + "Ġplayed": 6476, + "register": 6477, + "rought": 6478, + "_max": 6479, + "acement": 6480, + "match": 6481, + "raphics": 6482, + "AST": 6483, + "Ġexisting": 6484, + "Ġcomplex": 6485, + "DA": 6486, + ".Ch": 6487, + ".common": 6488, + "mo": 6489, + "Ġ'../../": 6490, + "ito": 6491, + "Ġanalysis": 6492, + "Ġdeliver": 6493, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 6494, + "idx": 6495, + "Ãł": 6496, + "ongo": 6497, + "ĠEnglish": 6498, + "Ċ": 10197, + "_default": 10198, + "ĠDatabase": 10199, + "rep": 10200, + "ESS": 10201, + "nergy": 10202, + ".Find": 10203, + "_mask": 10204, + "Ġrise": 10205, + "Ġkernel": 10206, + "::$": 10207, + ".Q": 10208, + "Ġoffering": 10209, + "decl": 10210, + "ĠCS": 10211, + "Ġlisted": 10212, + "Ġmostly": 10213, + "enger": 10214, + "Ġblocks": 10215, + "olo": 10216, + "Ġgoverning": 10217, + "\\F": 10218, + "Ġconcent": 10219, + ".getText": 10220, + "Ġmb": 10221, + "Ġoccurred": 10222, + "Ġchanging": 10223, + "Scene": 10224, + "_CODE": 10225, + "Beh": 10226, + "\"The": 10227, + "Ġtile": 10228, + "ĠAssociation": 10229, + "ĉP": 10230, + "alty": 10231, + "_ad": 10232, + "odies": 10233, + "iated": 10234, + "Ġprepared": 10235, + "possible": 10236, + "Ġmort": 10237, + "TEST": 10238, + "142": 10239, + "Ġignore": 10240, + "Ġcalc": 10241, + "Ġrs": 10242, + "ĠassertEquals": 10243, + "Ġsz": 10244, + "ĠTHIS": 10245, + ".\"Ċ": 10246, + "Ġcanvas": 10247, + "java": 10248, + "Ġdut": 10249, + "VALID": 10250, + ".sql": 10251, + ".input": 10252, + "Ġaux": 10253, + "Sup": 10254, + "Ġartist": 10255, + "Vec": 10256, + "_TIME": 10257, + ".stringify": 10258, + "etween": 10259, + "ĠCategory": 10260, + "Ġ[-": 10261, + "ĠDevExpress": 10262, + "ĠJul": 10263, + "Ġring": 10264, + ".ed": 10265, + "YY": 10266, + "Let": 10267, + "TextField": 10268, + "Ġflat": 10269, + "_print": 10270, + "ĠOTHER": 10271, + "adian": 10272, + "Ġchecked": 10273, + "ele": 10274, + "Align": 10275, + "standing": 10276, + "Ġ[],": 10277, + "Ġlab": 10278, + "ucky": 10279, + "ĠChristmas": 10280, + "(image": 10281, + ".module": 10282, + "Ġlots": 10283, + "Ġslightly": 10284, + "(final": 10285, + "erge": 10286, + "è¿": 10287, + "147": 10288, + "ĠPolice": 10289, + "143": 10290, + "ĠRight": 10291, + "Ġaward": 10292, + "ĠOS": 10293, + "Ġ{}ĊĊ": 10294, + "Ġptr": 10295, + "oves": 10296, + "icated": 10297, + "ем": 10298, + "Ġmanage": 10299, + "oliday": 10300, + "Amount": 10301, + "oolStrip": 10302, + "tbody": 10303, + "Nav": 10304, + "wrap": 10305, + "BB": 10306, + "Ġwatching": 10307, + "arios": 10308, + "Ġoptional": 10309, + "_K": 10310, + "ĠLicensed": 10311, + ".Map": 10312, + "Timer": 10313, + "ĠAP": 10314, + "ĠRev": 10315, + "(o": 10316, + ",c": 10317, + "umin": 10318, + "etailed": 10319, + "ĠHy": 10320, + "Ġblank": 10321, + "agger": 10322, + "ĠSelf": 10323, + "()[": 10324, + ".make": 10325, + "earn": 10326, + "channel": 10327, + ";Ċ": 10342, + "World": 10343, + "Ġpython": 10344, + "Ġlif": 10345, + "Ġtrav": 10346, + "Ġconven": 10347, + "company": 10348, + "ĠClub": 10349, + "138": 10350, + "Ver": 10351, + "Btn": 10352, + "Ġzone": 10353, + "products": 10354, + "ĠEduc": 10355, + "Ġverify": 10356, + "ĠMil": 10357, + "ono": 10358, + "]);ĊĊ": 10359, + "ENCE": 10360, + "Ġpacket": 10361, + "Ġcer": 10362, + "Ġenumer": 10363, + "Ġpars": 10364, + "formed": 10365, + "Ġoccup": 10366, + "tre": 10367, + "Ġexercise": 10368, + "Day": 10369, + "_sum": 10370, + "Ġasking": 10371, + "aption": 10372, + "Ġorders": 10373, + "Ġspending": 10374, + "ĠERR": 10375, + ".Dis": 10376, + "ĠUtil": 10377, + "âĢľI": 10378, + "\\'": 10379, + "?)": 10380, + "/>Ċ": 10381, + "Ġemot": 10382, + "Ġinfluence": 10383, + "ĠAfrica": 10384, + "atters": 10385, + "Ùħ": 10386, + ".session": 10387, + "Ġchief": 10388, + "ĉĉĉĉĉĉĉĉĉĉĉ": 10389, + "Ġtom": 10390, + "cluded": 10391, + "serial": 10392, + "_handler": 10393, + ".Type": 10394, + "aped": 10395, + "Ġpolicies": 10396, + "-ex": 10397, + "-tr": 10398, + "blank": 10399, + "merce": 10400, + "Ġcoverage": 10401, + "Ġrc": 10402, + "_matrix": 10403, + "_box": 10404, + "Ġcharges": 10405, + "ĠBoston": 10406, + "Pe": 10407, + "Ġcircum": 10408, + "Ġfilled": 10409, + "148": 10410, + "Ġnorth": 10411, + "ictureBox": 10412, + "ĉres": 10413, + "è®": 10414, + "Ġtermin": 10415, + "Ġ[âĢ¦": 10416, + "IRECT": 10417, + "Ġber": 10418, + "Ġ\"../../": 10419, + "retch": 10420, + ".code": 10421, + "_col": 10422, + "ĠGovernment": 10423, + "Ġargv": 10424, + "ĠLord": 10425, + "asi": 10426, + "Exec": 10427, + "ĉlet": 10428, + "vertis": 10429, + "Ġdiscussion": 10430, + "enance": 10431, + "outube": 10432, + "typeof": 10433, + "Ġserved": 10434, + "ĠPut": 10435, + "ĉx": 10436, + "Ġsweet": 10437, + "Before": 10438, + "ategy": 10439, + ".of": 10440, + "ĠMaterial": 10441, + "Sort": 10442, + "ONT": 10443, + "igital": 10444, + "Why": 10445, + "Ġsust": 10446, + "Ġç": 10447, + "abet": 10448, + "Ġsegment": 10449, + "Ġ[],Ċ": 10450, + "ĠMuslim": 10451, + "ĠfindViewById": 10452, + "cut": 10453, + "_TEXT": 10454, + "ĠMary": 10455, + "Ġloved": 10456, + "Ġlie": 10457, + "ĠJO": 10458, + "Ġisset": 10459, + "month": 10460, + "Ġprime": 10461, + "ti": 10462, + "ĠCarol": 10463, + "Use": 10464, + "146": 10465, + "ĠPop": 10466, + "ĠSave": 10467, + "Interval": 10468, + "execute": 10469, + "dy": 10470, + "ĠIran": 10471, + "_cont": 10472, + "ĉT": 10473, + "Ġphase": 10474, + "checkbox": 10475, + "week": 10476, + "Ġhide": 10477, + "Ġtil": 10478, + "Ġju": 10479, + "Custom": 10480, + "burg": 10481, + "/M": 10482, + "TON": 10483, + "Ġquant": 10484, + "Ġrub": 10485, + "ixels": 10486, + "Ġinstalled": 10487, + "Ġdump": 10488, + "Ġproperly": 10489, + "(List": 10490, + "Ġdecide": 10491, + "apply": 10492, + "Has": 10493, + "Ġkeeping": 10494, + "Ġcitizens": 10495, + "Ġjoint": 10496, + "pool": 10497, + "Socket": 10498, + "_op": 10499, + "Ġweapon": 10500, + "gnore": 10501, + "ĠExec": 10502, + "otten": 10503, + "ĠMS": 10504, + "Ġ(-": 10505, + "ĠReview": 10506, + "Ġexamples": 10507, + "Ġtight": 10508, + "!(": 10509, + "DP": 10510, + "ĠMessageBox": 10511, + "Ġphotograph": 10512, + "164": 10513, + "URI": 10514, + "ét": 10515, + "low": 10516, + "ĠGrand": 10517, + ".persistence": 10518, + "Ġmaintain": 10519, + "Ġnums": 10520, + "Ġzip": 10521, + "ials": 10522, + "ĠGets": 10523, + "peg": 10524, + "ĠBuffer": 10525, + "~~~~": 10526, + "rastructure": 10527, + "ĠPL": 10528, + "uen": 10529, + "obby": 10530, + "sizeof": 10531, + "Ġpic": 10532, + "Ġseed": 10533, + "Ġexperienced": 10534, + "Ġodd": 10535, + "Ġkick": 10536, + "Ġprocedure": 10537, + "avigator": 10538, + "-on": 10539, + ",j": 10540, + "ĠAlthough": 10541, + "ĠuserId": 10542, + "accept": 10543, + "Blue": 10544, + "IColor": 10545, + "layer": 10546, + "available": 10547, + "Ġends": 10548, + ".table": 10549, + "Ġdataset": 10550, + "bus": 10551, + "Ġexplain": 10552, + "(pro": 10553, + "ĠCommittee": 10554, + "Ġnoted": 10555, + "]:Ċ": 10556, + "Dim": 10557, + "stdio": 10558, + "154": 10559, + ".\",Ċ": 10560, + "_source": 10561, + "181": 10562, + "ĠWeek": 10563, + "ĠEdge": 10564, + "Ġoperating": 10565, + "Ġeste": 10566, + "ipl": 10567, + "330": 10568, + "agination": 10569, + "Ġproceed": 10570, + "Ġanimation": 10571, + ".Models": 10572, + "ĠWatch": 10573, + "iat": 10574, + "Ġoppon": 10575, + "/A": 10576, + "Report": 10577, + "Ġsounds": 10578, + "_buf": 10579, + "IELD": 10580, + "Ġbund": 10581, + "ĉget": 10582, + ".pr": 10583, + "(tmp": 10584, + "Ġkid": 10585, + ">ĊĊĊ": 10586, + "Ġyang": 10587, + "NotFound": 10588, + "ÑĨ": 10589, + "math": 10590, + "@gmail": 10591, + "ĠLIMIT": 10592, + "redients": 10593, + "Ġvent": 10594, + "avigate": 10595, + "Look": 10596, + "Ġreligious": 10597, + "Ġrand": 10598, + "rio": 10599, + "(GL": 10600, + "_ip": 10601, + "uan": 10602, + "iciency": 10603, + "ĠChange": 10604, + ">čĊčĊ": 10605, + "ĠEntity": 10606, + "Ġrencontre": 10607, + "ĠRet": 10608, + "plan": 10609, + "én": 10610, + "BOOL": 10611, + "uries": 10612, + "train": 10613, + "Definition": 10614, + "============": 10615, + "zz": 10616, + "450": 10617, + "Animation": 10618, + "ĠOK": 10619, + "_menu": 10620, + ".bl": 10621, + "_score": 10622, + "Ġacad": 10623, + "(System": 10624, + "Ġrefresh": 10625, + "'=>$": 10626, + ".Graphics": 10627, + "amento": 10628, + "pid": 10629, + "tc": 10630, + "Ġtips": 10631, + "Ġhomes": 10632, + "Ġfuel": 10633, + "âĸ": 10634, + "_helper": 10635, + "ĠĠčĊ": 10636, + "ĠRoom": 10637, + ".Close": 10638, + "_attr": 10639, + "ĠMount": 10640, + "ĠEv": 10641, + "arser": 10642, + "_top": 10643, + "eah": 10644, + "ĠDelete": 10645, + "ãĢį": 10646, + "uke": 10647, + "Ġusage": 10648, + "aria": 10649, + "_dev": 10650, + "Ġtexture": 10651, + "Ġconversation": 10652, + "eper": 10653, + "Bean": 10654, + "done": 10655, + "nonatomic": 10656, + "ĠSecond": 10657, + "Ġshooting": 10658, + "_pre": 10659, + "Components": 10660, + "Ġ]ĊĊ": 10661, + "__,": 10662, + "stitution": 10663, + ".Char": 10664, + ">();ĊĊ": 10665, + "Ġpresented": 10666, + "Ġwa": 10667, + "oker": 10668, + "-ĊĊ": 10669, + "iner": 10670, + "Ġbecoming": 10671, + "Ġincident": 10672, + "Att": 10673, + "162": 10674, + "Ġrevealed": 10675, + "forc": 10676, + "Ġboot": 10677, + ".page": 10678, + "Enumerator": 10679, + "165": 10680, + "_->": 10681, + "Photo": 10682, + "Ġspring": 10683, + ".\",": 10684, + "ĠDictionary": 10685, + "BJECT": 10686, + "Ġlocations": 10687, + "Ġsamples": 10688, + "InputStream": 10689, + "ĠBrown": 10690, + "Ġstats": 10691, + "quality": 10692, + "Ñħ": 10693, + "-dis": 10694, + "Ġhelping": 10695, + "Ġped": 10696, + "224": 10697, + "(se": 10698, + "ĠWho": 10699, + "alian": 10700, + "internal": 10701, + "Ġft": 10702, + ">().": 10703, + "->{": 10704, + "Ġmine": 10705, + "Ġsector": 10706, + "Ġgro": 10707, + "Ġopportunities": 10708, + "Ġü": 10709, + "Ġmp": 10710, + "Ġalleged": 10711, + "Ġdoubt": 10712, + "Mouse": 10713, + "About": 10714, + "_part": 10715, + "Ġchair": 10716, + "Ġstopped": 10717, + "161": 10718, + "loop": 10719, + "entities": 10720, + "Ġapps": 10721, + "ansion": 10722, + "Ġmental": 10723, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 10724, + "FR": 10725, + "Ġdefend": 10726, + "care": 10727, + "Ġideal": 10728, + "/api": 10729, + "urface": 10730, + "011": 10731, + "Ġele": 10732, + "ulator": 10733, + "ĠRights": 10734, + "anguages": 10735, + "Ġfunds": 10736, + "Ġadapt": 10737, + "Attributes": 10738, + "Ġdeploy": 10739, + "opts": 10740, + "Ġvalidation": 10741, + "Ġconcerns": 10742, + "uce": 10743, + ".num": 10744, + "ulture": 10745, + "ila": 10746, + "Ġcup": 10747, + "Ġpure": 10748, + ".Fore": 10749, + "183": 10750, + "ĠHashMap": 10751, + ".valueOf": 10752, + "asm": 10753, + "MO": 10754, + "Ġcs": 10755, + "Ġstores": 10756, + "Ġ************************************************************************": 10757, + "Ġcommunication": 10758, + "mem": 10759, + ".EventHandler": 10760, + ".Status": 10761, + "_right": 10762, + ".setOn": 10763, + "Sheet": 10764, + "Ġidentify": 10765, + "enerated": 10766, + "ordered": 10767, + "Ġ\"[": 10768, + "Ġswe": 10769, + "Condition": 10770, + "ĠAccording": 10771, + "Ġprepare": 10772, + "Ġrob": 10773, + "Pool": 10774, + "Ġsport": 10775, + "rv": 10776, + "ĠRouter": 10777, + "Ġalternative": 10778, + "([]": 10779, + "ĠChicago": 10780, + "ipher": 10781, + "ische": 10782, + "ĠDirector": 10783, + "kl": 10784, + "ĠWil": 10785, + "keys": 10786, + "Ġmysql": 10787, + "Ġwelcome": 10788, + "king": 10789, + "ĠManager": 10790, + "Ġcaught": 10791, + ")}Ċ": 10792, + "Score": 10793, + "_PR": 10794, + "Ġsurvey": 10795, + "hab": 10796, + "Headers": 10797, + "ADER": 10798, + "Ġdecor": 10799, + "Ġturns": 10800, + "Ġradius": 10801, + "errupt": 10802, + "Cor": 10803, + "Ġmel": 10804, + "Ġintr": 10805, + "(q": 10806, + "ĠAC": 10807, + "amos": 10808, + "MAX": 10809, + "ĠGrid": 10810, + "ĠJesus": 10811, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 10812, + ".DE": 10813, + "Ġts": 10814, + "Ġlinked": 10815, + "free": 10816, + "ĠQt": 10817, + "Ġ/**čĊ": 10818, + "Ġfaster": 10819, + "ctr": 10820, + "_J": 10821, + "DT": 10822, + ".Check": 10823, + "Ġcombination": 10824, + "Ġintended": 10825, + "-the": 10826, + "-type": 10827, + "182": 10828, + "ectors": 10829, + "ami": 10830, + "uting": 10831, + "Ġuma": 10832, + "XML": 10833, + "UCT": 10834, + "Ap": 10835, + "ĠRandom": 10836, + "Ġran": 10837, + ".sort": 10838, + "Ġsorted": 10839, + ".Un": 10840, + "401": 10841, + "_PER": 10842, + "itory": 10843, + "Ġpriority": 10844, + "ĠGal": 10845, + "ĠOld": 10846, + "hot": 10847, + "ĠDisplay": 10848, + "(sub": 10849, + "_TH": 10850, + "_Y": 10851, + "ĠCare": 10852, + "loading": 10853, + "Kind": 10854, + "_handle": 10855, + ",,": 10856, + "rase": 10857, + "_replace": 10858, + ".addEventListener": 10859, + "ĠRT": 10860, + "172": 10861, + "Ġentered": 10862, + "gers": 10863, + "Ġich": 10864, + "(start": 10865, + "205": 10866, + "/app": 10867, + "Ġbrother": 10868, + "Memory": 10869, + "Outlet": 10870, + "Ġutf": 10871, + "prec": 10872, + "Ġnavigation": 10873, + "ORK": 10874, + "Ġdst": 10875, + "Detail": 10876, + "Ġaudience": 10877, + "Ġdur": 10878, + "Ġcluster": 10879, + "unched": 10880, + "Ġ],": 10881, + "Ġcomfortable": 10882, + ".values": 10883, + "ĠTotal": 10884, + "Ġsnap": 10885, + "Ġstandards": 10886, + "Ġperformed": 10887, + "hand": 10888, + "(\"@": 10889, + "åŃ": 10890, + "Ġphil": 10891, + "ibr": 10892, + "trim": 10893, + "Ġforget": 10894, + "157": 10895, + "Ġdoctor": 10896, + ".TextBox": 10897, + "377": 10898, + "icons": 10899, + ",s": 10900, + "ĠOp": 10901, + "Sm": 10902, + "Stop": 10903, + "ĉList": 10904, + "ĉu": 10905, + "Comment": 10906, + "_VERSION": 10907, + ".Xtra": 10908, + "Person": 10909, + "rb": 10910, + "LOB": 10911, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 10912, + "ĠCentral": 10913, + "270": 10914, + "ICK": 10915, + "raq": 10916, + "Ġputting": 10917, + "Ġmd": 10918, + "ĠLove": 10919, + "Program": 10920, + "Border": 10921, + "oor": 10922, + "Ġallowing": 10923, + "after": 10924, + "Ġentries": 10925, + "ĠMaybe": 10926, + "]).": 10927, + "ĠShort": 10928, + ")\\": 10929, + ".now": 10930, + "friend": 10931, + "Ġprefer": 10932, + "ĠGPIO": 10933, + "osis": 10934, + "ĠGameObject": 10935, + "Ġskip": 10936, + "Ġcompetition": 10937, + "_match": 10938, + "lications": 10939, + "_CONT": 10940, + ".groupBox": 10941, + "Ġals": 10942, + "666": 10943, + "\"We": 10944, + "_eq": 10945, + "lan": 10946, + "_search": 10947, + "ĠMusic": 10948, + "asis": 10949, + "Ġbind": 10950, + "ĠIsland": 10951, + "rum": 10952, + "(E": 10953, + "Ġseat": 10954, + "Video": 10955, + "Ġack": 10956, + "reek": 10957, + "={()": 10958, + "Ġrating": 10959, + "Ġrestaurant": 10960, + "456": 10961, + "DEX": 10962, + "(buf": 10963, + "pping": 10964, + "uality": 10965, + "Ġleague": 10966, + "176": 10967, + "Ġfocused": 10968, + "apon": 10969, + "$data": 10970, + "CLUD": 10971, + "CLUDING": 10972, + "Ġabsolute": 10973, + "(query": 10974, + "Ġtells": 10975, + "Ang": 10976, + "Ġcommunities": 10977, + "Ġhonest": 10978, + "oking": 10979, + "Ġapart": 10980, + "arity": 10981, + "/$": 10982, + "_module": 10983, + "ĠEnc": 10984, + ".an": 10985, + ".Config": 10986, + "Cre": 10987, + "Ġshock": 10988, + "ĠArab": 10989, + "IENT": 10990, + "/re": 10991, + "Ġretrie": 10992, + "ycler": 10993, + "isa": 10994, + "ĠOrgan": 10995, + ".graph": 10996, + "Ġí": 10997, + "ĠBAS": 10998, + "Enum": 10999, + "Ġpossibly": 11000, + "ÑĢаÐ": 11001, + "ĠJapanese": 11002, + "Ġcraft": 11003, + "ĠPlace": 11004, + "Ġtalent": 11005, + "Ġfunding": 11006, + "Ġconfirmed": 11007, + "Ġcycle": 11008, + "/x": 11009, + "GE": 11010, + "Ġhearing": 11011, + "Ġplants": 11012, + "Ġmouth": 11013, + "pages": 11014, + "oria": 11015, + "ĠRemove": 11016, + "_total": 11017, + "Ġod": 11018, + "ollapse": 11019, + "door": 11020, + "Ġbought": 11021, + "Ġaddr": 11022, + "ARCH": 11023, + "_dim": 11024, + "dden": 11025, + "Ġdecades": 11026, + "REQUEST": 11027, + "Ġversions": 11028, + "fire": 11029, + "006": 11030, + "Ġmoves": 11031, + "fb": 11032, + "Ġcoffee": 11033, + ".connect": 11034, + "ĠRow": 11035, + "Ġschema": 11036, + "Scope": 11037, + "-Type": 11038, + "Ġfighting": 11039, + "Ġretail": 11040, + "Ġmodified": 11041, + "TF": 11042, + "Files": 11043, + "nie": 11044, + "_command": 11045, + "stone": 11046, + "ĠÑĤ": 11047, + "_thread": 11048, + "Ġbond": 11049, + "ĠDevelopment": 11050, + "Ġpt": 11051, + "FORM": 11052, + "plet": 11053, + "Ġidentified": 11054, + "cpp": 11055, + "206": 11056, + "225": 11057, + "Ġcoding": 11058, + "oked": 11059, + "ĠMaster": 11060, + "IDTH": 11061, + "Ġresidents": 11062, + "redit": 11063, + "ĠPhoto": 11064, + "=-": 11065, + "unte": 11066, + "ateur": 11067, + "159": 11068, + "_STATE": 11069, + "ĠSing": 11070, + "Ġsheet": 11071, + ".val": 11072, + "orse": 11073, + "Ġhers": 11074, + "Ġdetermined": 11075, + "Common": 11076, + "Ġwed": 11077, + "_queue": 11078, + "PH": 11079, + "ĠAtl": 11080, + "cred": 11081, + "/LICENSE": 11082, + "Ġmes": 11083, + "Ġadvanced": 11084, + ".java": 11085, + ".Sh": 11086, + "Go": 11087, + "kill": 11088, + "fp": 11089, + "_settings": 11090, + "Ġpal": 11091, + "Ġtruck": 11092, + "Ġcombined": 11093, + "Ġ\"${": 11094, + "ĠCorpor": 11095, + "Ġjoined": 11096, + "ĠJose": 11097, + "ĠCup": 11098, + "uns": 11099, + "estival": 11100, + "levision": 11101, + "Ġbroken": 11102, + "Ġmarriage": 11103, + "ĠWestern": 11104, + "Ġrepresents": 11105, + "ĠTitle": 11106, + "Ġss": 11107, + ".Ass": 11108, + "ongoose": 11109, + "iento": 11110, + "<>();Ċ": 11111, + "Ġabsolutely": 11112, + "Ġsmooth": 11113, + "TERN": 11114, + "ĠUnless": 11115, + "Word": 11116, + "Ġmerge": 11117, + "igan": 11118, + "ĠVol": 11119, + "Ġnn": 11120, + ".getId": 11121, + "Ġз": 11122, + "171": 11123, + "Ġsexy": 11124, + "Ġseeking": 11125, + "Single": 11126, + ".this": 11127, + "179": 11128, + "Ġkom": 11129, + "bound": 11130, + ";\"": 11131, + "ĠfontSize": 11132, + "_df": 11133, + "Ġinjury": 11134, + "(H": 11135, + "Ġissued": 11136, + "_END": 11137, + ":self": 11138, + "020": 11139, + "Ġpatch": 11140, + "Ġleaves": 11141, + "Ġadopt": 11142, + "FileName": 11143, + "ãĢIJ": 11144, + "Ġexecutive": 11145, + "ĠByte": 11146, + "]))Ċ": 11147, + "Ġnu": 11148, + "outing": 11149, + "cluding": 11150, + "-R": 11151, + ".options": 11152, + "Ġsubstant": 11153, + "avax": 11154, + "ĠBUT": 11155, + "Ġtechnical": 11156, + "Ġtwice": 11157, + "Ġmás": 11158, + "Ġunivers": 11159, + "yr": 11160, + "Ġdrag": 11161, + "ĠDC": 11162, + "Ġsed": 11163, + "Ġbot": 11164, + "ĠPal": 11165, + "ĠHall": 11166, + "forcement": 11167, + "Ġauch": 11168, + ".mod": 11169, + "notation": 11170, + "_files": 11171, + ".line": 11172, + "_flag": 11173, + "[name": 11174, + "Ġresolution": 11175, + "Ġbott": 11176, + "(\"[": 11177, + "ende": 11178, + "(arr": 11179, + "Free": 11180, + "(@\"": 11181, + "ĠDistrict": 11182, + "PEC": 11183, + ":-": 11184, + "Picker": 11185, + "ĠJo": 11186, + "ĠĠĠĠĠĊ": 11187, + "ĠRiver": 11188, + "_rows": 11189, + "Ġhelpful": 11190, + "Ġmassive": 11191, + "---Ċ": 11192, + "Ġmeasures": 11193, + "007": 11194, + "ĠRuntime": 11195, + "Ġworry": 11196, + "ĠSpec": 11197, + "ĉD": 11198, + "ãĢij": 11199, + "Ġ){Ċ": 11200, + "Ġworse": 11201, + "(filename": 11202, + "Ġlay": 11203, + "Ġmagic": 11204, + "ĠTheir": 11205, + "oul": 11206, + "stroy": 11207, + "ĠWhere": 11208, + "280": 11209, + "Ġsudden": 11210, + "Ġdefe": 11211, + "Ġbinding": 11212, + "Ġflight": 11213, + "ĠOnInit": 11214, + "ĠWomen": 11215, + "ĠPolicy": 11216, + "Ġdrugs": 11217, + "ishing": 11218, + "('../": 11219, + "ĠMel": 11220, + "peat": 11221, + "tor": 11222, + "Ġproposed": 11223, + "Ġstated": 11224, + "_RES": 11225, + "Ġeast": 11226, + "212": 11227, + "ĠCONDITION": 11228, + "_desc": 11229, + "Ġwinning": 11230, + "folio": 11231, + "Mapper": 11232, + "ĠPan": 11233, + "ĠAnge": 11234, + ".servlet": 11235, + "Ġcopies": 11236, + "LM": 11237, + "Ġvm": 11238, + "åį": 11239, + "Ġdictionary": 11240, + "Seg": 11241, + "177": 11242, + "elines": 11243, + "ĠSend": 11244, + "Ġiron": 11245, + "ĠFort": 11246, + "166": 11247, + ".domain": 11248, + "Ġdebate": 11249, + "NotNull": 11250, + "eq": 11251, + "acher": 11252, + "lf": 11253, + "ĉfmt": 11254, + "Ġlawy": 11255, + "178": 11256, + "ÄŁ": 11257, + "ĠMen": 11258, + "Ġtrim": 11259, + "(NULL": 11260, + "Ġ!!": 11261, + "Ġpad": 11262, + "Ġfollows": 11263, + "\"][\"": 11264, + "requ": 11265, + "ĠEp": 11266, + ".github": 11267, + "(img": 11268, + "eto": 11269, + "('\\": 11270, + "Services": 11271, + "umbnail": 11272, + "_main": 11273, + "pleted": 11274, + "fortunately": 11275, + "Ġwindows": 11276, + "Ġplane": 11277, + "ĠConnection": 11278, + ".local": 11279, + "uard": 11280, + "}\\": 11281, + "==\"": 11282, + "andon": 11283, + "ĠRoy": 11284, + "west": 11285, + "158": 11286, + "iginal": 11287, + "emies": 11288, + "itz": 11289, + "'):Ċ": 11290, + "ĠPeter": 11291, + "Ġtough": 11292, + "Ġreduced": 11293, + "Ġcalculate": 11294, + "Ġrapid": 11295, + "customer": 11296, + "Ġefficient": 11297, + "Ġmedium": 11298, + "Ġfell": 11299, + ".ref": 11300, + "ĠCas": 11301, + "Ġfeedback": 11302, + "Speed": 11303, + "(output": 11304, + "aje": 11305, + "Ġcategories": 11306, + "Ġfee": 11307, + "};": 11308, + "Ġdeleted": 11309, + "reh": 11310, + "Ġproof": 11311, + "Desc": 11312, + "Build": 11313, + "Ġsides": 11314, + ".ArrayList": 11315, + "-%": 11316, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 11317, + "ر": 11318, + ".match": 11319, + "ли": 11320, + "Ġfeels": 11321, + "Ġachieve": 11322, + "Ġclim": 11323, + "_ON": 11324, + "ĠCD": 11325, + "Ġteacher": 11326, + "_current": 11327, + "bn": 11328, + "_PL": 11329, + "isting": 11330, + "Enable": 11331, + "GEN": 11332, + "Ġtv": 11333, + "Ġsock": 11334, + "Ġplays": 11335, + "Ġdiscount": 11336, + "ĠKE": 11337, + "ĠDebug": 11338, + "Fore": 11339, + "ĠIraq": 11340, + "Ġappearance": 11341, + "Mon": 11342, + "Ġstyled": 11343, + "ĠHuman": 11344, + "iot": 11345, + "ĠHistory": 11346, + "Ġsac": 11347, + "ĠCollection": 11348, + "Ġrecommended": 11349, + ".Selected": 11350, + "Ġorganizations": 11351, + "Ġdiscovered": 11352, + "cohol": 11353, + "adas": 11354, + "ĠThomas": 11355, + "May": 11356, + "Ġconserv": 11357, + "Ġdomin": 11358, + "ĠFollow": 11359, + "ĠSection": 11360, + "ĠThanks": 11361, + "Username": 11362, + "Ġrecipe": 11363, + "Ġwonderful": 11364, + ".sleep": 11365, + "_if": 11366, + "ĉĊĉĊ": 11367, + "orno": 11368, + "Ġru": 11369, + "_target": 11370, + ".\"\"": 11371, + "à¦": 11372, + "EventArgs": 11373, + "Ġinputs": 11374, + "Ġfif": 11375, + "Ġvision": 11376, + "cy": 11377, + "ĠSeries": 11378, + ")(((": 11379, + "Ġtrading": 11380, + "Ġmarker": 11381, + "Begin": 11382, + "Ġtypically": 11383, + "Ġcauses": 11384, + "dropdown": 11385, + "_DEBUG": 11386, + "260": 11387, + "Ġdetect": 11388, + "country": 11389, + "!\");Ċ": 11390, + "ĉR": 11391, + "appy": 11392, + "Ġcref": 11393, + "('<": 11394, + "\"=>": 11395, + "ĠLE": 11396, + "reader": 11397, + "Ġadministr": 11398, + "õ": 11399, + "ucket": 11400, + "Ġfashion": 11401, + ".char": 11402, + "izar": 11403, + "Ġdisable": 11404, + "Ġsuc": 11405, + "ĠLive": 11406, + "issue": 11407, + "Ġmetadata": 11408, + "flags": 11409, + "ĠðŁ": 11410, + "Ġcommitted": 11411, + "Ġva": 11412, + "Ġrough": 11413, + "Ġ'''Ċ": 11414, + "Ġhighlight": 11415, + "_vars": 11416, + "VO": 11417, + "Ġencoding": 11418, + "-Z": 11419, + "_sign": 11420, + "$(\"#": 11421, + "Ġrain": 11422, + "reatest": 11423, + "ĠEND": 11424, + "Selection": 11425, + "Ġcandidates": 11426, + "Ġsav": 11427, + ".Empty": 11428, + "Ġdecisions": 11429, + "Ġcollabor": 11430, + "ridge": 11431, + "feed": 11432, + "ression": 11433, + "Ġpersons": 11434, + "VM": 11435, + "008": 11436, + "ega": 11437, + "_BIT": 11438, + "According": 11439, + "acked": 11440, + "Ġdollars": 11441, + "_loss": 11442, + "ĠCost": 11443, + "}\"Ċ": 11444, + "Notification": 11445, + "Ġprostit": 11446, + "Ġauthority": 11447, + ".rec": 11448, + "Ġspokes": 11449, + "ĠToday": 11450, + "istant": 11451, + "ĠHead": 11452, + "âĢĿ.": 11453, + "ertainment": 11454, + "cean": 11455, + "culate": 11456, + "Ġven": 11457, + "However": 11458, + "_arr": 11459, + "Ġtokens": 11460, + "Graph": 11461, + "ĠJud": 11462, + "ĠVirgin": 11463, + "ĠSerial": 11464, + "unning": 11465, + "Mutable": 11466, + "agers": 11467, + ".csv": 11468, + "Ġdeveloping": 11469, + "Ġinstructions": 11470, + "Ġpromise": 11471, + "Ġrequested": 11472, + "_encode": 11473, + "/\"": 11474, + "ĠIcon": 11475, + "uilt": 11476, + "-day": 11477, + "Ġintelligence": 11478, + ".IS": 11479, + "ĠObservable": 11480, + "ĠHard": 11481, + "Bool": 11482, + "211": 11483, + "idential": 11484, + ".Anchor": 11485, + "Ġselling": 11486, + "CI": 11487, + "AGES": 11488, + "tle": 11489, + "bur": 11490, + "UFFER": 11491, + "RY": 11492, + "Ġbigger": 11493, + "Ġrat": 11494, + "Ġfamous": 11495, + "Ġtypename": 11496, + "Ġexplained": 11497, + "}}Ċ": 11498, + "Ġnuclear": 11499, + "-N": 11500, + "Ġcrisis": 11501, + "ĠEnter": 11502, + "Ġanswers": 11503, + "/${": 11504, + "/pl": 11505, + "Ġsequ": 11506, + "_next": 11507, + "mask": 11508, + "Ġstanding": 11509, + "Ġplenty": 11510, + "ĠCross": 11511, + "ĉret": 11512, + "dro": 11513, + "ĠCast": 11514, + "167": 11515, + "=true": 11516, + "ĠChris": 11517, + "icio": 11518, + "ĠMike": 11519, + "Decimal": 11520, + "addComponent": 11521, + "Len": 11522, + "Ġcock": 11523, + "Ġ#{": 11524, + "URN": 11525, + "": 11657, + "Ġ*=": 11658, + "ĠPS": 11659, + "Ġdangerous": 11660, + "[p": 11661, + "OME": 11662, + "Other": 11663, + "ĠStringBuilder": 11664, + "Points": 11665, + "heading": 11666, + "Ġcurrency": 11667, + "Ġpercentage": 11668, + "_API": 11669, + "Ġclassic": 11670, + "thead": 11671, + "ĠMO": 11672, + "FE": 11673, + "Idx": 11674, + "await": 11675, + "Ġè": 11676, + "Ġaccident": 11677, + "Ġvariant": 11678, + "Ġmyst": 11679, + "ĠLand": 11680, + "ĠBre": 11681, + "Ġharm": 11682, + "ĠAcc": 11683, + "Ġcharged": 11684, + "iones": 11685, + "Visibility": 11686, + "arry": 11687, + "ĠLanguage": 11688, + "Ġwalking": 11689, + "\".ĊĊ": 11690, + "ifer": 11691, + "Ġleadership": 11692, + ".From": 11693, + "ynam": 11694, + "Ġtimestamp": 11695, + "ipt": 11696, + "ĠHas": 11697, + "REFER": 11698, + "ĠIts": 11699, + "Ġlistener": 11700, + "UTE": 11701, + "213": 11702, + "_description": 11703, + "Ġexperiences": 11704, + "Ġcreates": 11705, + "RS": 11706, + "cart": 11707, + "black": 11708, + "Ġchoices": 11709, + "war": 11710, + "750": 11711, + "Ġ'''": 11712, + "Ġordered": 11713, + "Ġevening": 11714, + "Ġpil": 11715, + "Ġtun": 11716, + "ĠBad": 11717, + "(app": 11718, + "random": 11719, + "Ġexplicit": 11720, + "Ġarrived": 11721, + "Ġfly": 11722, + "Ġeconom": 11723, + "-mail": 11724, + "Ġlists": 11725, + "Ġarchitect": 11726, + "234": 11727, + "ĠPay": 11728, + "Ġds": 11729, + "ĠSol": 11730, + "Ġvehicles": 11731, + "Hz": 11732, + "-com": 11733, + "Ġking": 11734, + "_equal": 11735, + "ĠHelp": 11736, + "Ġabuse": 11737, + "480": 11738, + "169": 11739, + "--;Ċ": 11740, + "Ġextr": 11741, + "Ġchemical": 11742, + "ä¿": 11743, + "Ġorient": 11744, + "Ġbreath": 11745, + "ĠSpace": 11746, + "(element": 11747, + "wait": 11748, + "DED": 11749, + "igma": 11750, + "Ġentr": 11751, + "Ġsob": 11752, + "-name": 11753, + "Ġaffected": 11754, + "ika": 11755, + "Ġcoal": 11756, + "_work": 11757, + "Ġhundreds": 11758, + "Ġpolitics": 11759, + "subject": 11760, + "Ġconsumer": 11761, + "ANGE": 11762, + "Ġrepeated": 11763, + "Send": 11764, + "Ġ#[": 11765, + "Ġprotocol": 11766, + "Ġleads": 11767, + "useum": 11768, + "Every": 11769, + "808": 11770, + "174": 11771, + "Import": 11772, + "(count": 11773, + "Ġchallenges": 11774, + "Ġnovel": 11775, + "Ġdepart": 11776, + "bits": 11777, + ".Current": 11778, + "Ġ`${": 11779, + "oting": 11780, + "(\\": 11781, + "Ġcreative": 11782, + "Ġbuff": 11783, + "Ġintroduced": 11784, + "usic": 11785, + "modules": 11786, + "Are": 11787, + "-doc": 11788, + "language": 11789, + "_cache": 11790, + "Ġtod": 11791, + "?>{{": 12026, + "ĠResource": 12027, + "ĠStandard": 12028, + "ĠPrem": 12029, + "updated": 12030, + "ivalent": 12031, + "Ġassets": 12032, + "_temp": 12033, + "Ġinterests": 12034, + "Ġhardware": 12035, + "ĠRom": 12036, + "ĠShare": 12037, + "Ġ''Ċ": 12038, + "Ġ*,": 12039, + "ĠTake": 12040, + "ĠImages": 12041, + "_CHECK": 12042, + "(typeof": 12043, + "ĠJun": 12044, + "\\<^": 12045, + "Ġliqu": 12046, + "Ġworst": 12047, + "ymbols": 12048, + "ĉĉĉĠĠĠ": 12049, + "Ġdrivers": 12050, + "ĠDocument": 12051, + "eno": 12052, + "ĠTechnology": 12053, + "Ġapproved": 12054, + "umps": 12055, + "Ġsnow": 12056, + "formance": 12057, + "_ASSERT": 12058, + "uits": 12059, + "207": 12060, + "ÙĨ": 12061, + "Ġdifferences": 12062, + ".Visible": 12063, + "ĉĉĉčĊ": 12064, + "ĠPs": 12065, + "_fetch": 12066, + "Ġtodo": 12067, + ".',Ċ": 12068, + "Ġsel": 12069, + "urers": 12070, + "invalid": 12071, + "Ġtweet": 12072, + "VEL": 12073, + "Ġresearchers": 12074, + "Ġsprintf": 12075, + "ĠRO": 12076, + "Ġpel": 12077, + ".Trans": 12078, + "Ġillegal": 12079, + "dialog": 12080, + "smarty": 12081, + "lg": 12082, + "_MIN": 12083, + "Ġhero": 12084, + "final": 12085, + "Ġpp": 12086, + ".Le": 12087, + "Ġci": 12088, + "ĉRT": 12089, + "Ġsuggested": 12090, + "pdf": 12091, + "aching": 12092, + "ĠRo": 12093, + "ĠProperties": 12094, + "ĠSi": 12095, + "Ġbuying": 12096, + "Ġmu": 12097, + "Ġlands": 12098, + "ifiers": 12099, + "ĠFILE": 12100, + "ROUP": 12101, + "Ġholder": 12102, + "ĠSon": 12103, + "Ġsympt": 12104, + ".route": 12105, + ")?": 12106, + "Ġargc": 12107, + "Ġfort": 12108, + "Ġcasino": 12109, + "_category": 12110, + "Ġforum": 12111, + "215": 12112, + "prefix": 12113, + "apture": 12114, + "Tube": 12115, + "ems": 12116, + "imize": 12117, + "Ġnue": 12118, + "aus": 12119, + "course": 12120, + "ATOR": 12121, + "()),": 12122, + "Advertis": 12123, + "INGS": 12124, + "Ġacknow": 12125, + "ĠKorea": 12126, + "pling": 12127, + "Ġworker": 12128, + "PLIED": 12129, + "hal": 12130, + "ĠRichard": 12131, + "Elements": 12132, + "ĉĉĉĠ": 12133, + "star": 12134, + "Ġrelationships": 12135, + "Ġcheap": 12136, + "ACH": 12137, + "ĠXML": 12138, + ",&": 12139, + "ĠLouis": 12140, + "Ġride": 12141, + "_FAIL": 12142, + "Ġchunk": 12143, + "[s": 12144, + "_OUT": 12145, + "Ġchosen": 12146, + "_[": 12147, + "/(": 12148, + "ĠJeff": 12149, + "_sl": 12150, + "priv": 12151, + "ĠCanadian": 12152, + "Ġunable": 12153, + "_FLAG": 12154, + "Ġnos": 12155, + "high": 12156, + "Ġlift": 12157, + "fun": 12158, + "(){": 12159, + "elly": 12160, + "yclerView": 12161, + "_as": 12162, + "_LIST": 12163, + "Ġradi": 12164, + ".getValue": 12165, + "304": 12166, + "ĠAngeles": 12167, + "ĠSpan": 12168, + "_instance": 12169, + "itors": 12170, + "208": 12171, + "Ġmigration": 12172, + "AK": 12173, + "Oh": 12174, + "®": 12175, + ".selected": 12176, + "ĠGT": 12177, + "Ġadvance": 12178, + "ĠStyle": 12179, + ".DataGridView": 12180, + "ection": 12181, + "Ñİ": 12182, + "pio": 12183, + "rog": 12184, + "Ġshopping": 12185, + "ĠRect": 12186, + "Illuminate": 12187, + "OU": 12188, + "ĉarray": 12189, + "Ġsubstantial": 12190, + "Ġpregn": 12191, + "Ġpromote": 12192, + "IEW": 12193, + ".Layout": 12194, + "Ġsigns": 12195, + "/.": 12196, + "Ġletters": 12197, + "Board": 12198, + "ctrl": 12199, + "\"\\": 12200, + "ĠJones": 12201, + "Ġvertex": 12202, + "Ġja": 12203, + "Ġaffili": 12204, + "Ġwealth": 12205, + "ĉdefault": 12206, + "Ġsignificantly": 12207, + "Ġec": 12208, + "Ġxs": 12209, + "actual": 12210, + ".per": 12211, + "_step": 12212, + "anvas": 12213, + "mac": 12214, + "Ġtransl": 12215, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 12216, + "Iterator": 12217, + "Ġoch": 12218, + "agnostic": 12219, + "ĠDuring": 12220, + "ĠDEFAULT": 12221, + "Ġtill": 12222, + "Ġsignature": 12223, + "Ġbird": 12224, + "ĠOl": 12225, + "310": 12226, + "ĠIr": 12227, + "HS": 12228, + "avatar": 12229, + "ESSAGE": 12230, + "Ġelev": 12231, + "Ġmt": 12232, + "ĠNav": 12233, + "Ġrelax": 12234, + "Ġplate": 12235, + "ITEM": 12236, + "(date": 12237, + ".not": 12238, + "Ġgrade": 12239, + "Ġ}),Ċ": 12240, + "?\"ĊĊ": 12241, + "iences": 12242, + "High": 12243, + "ĠDIS": 12244, + "231": 12245, + "disabled": 12246, + "QUI": 12247, + "Ġnoise": 12248, + "aux": 12249, + "ĠUP": 12250, + "888": 12251, + "osa": 12252, + "Ġvoc": 12253, + "Ġ))": 12254, + "ocom": 12255, + "_OFF": 12256, + "ĠDb": 12257, + "Lock": 12258, + ".eclipse": 12259, + ",d": 12260, + "ĠDraw": 12261, + "Ġ\"(": 12262, + "Ġvisited": 12263, + "ĠâĪ": 12264, + "Ġsucceed": 12265, + "Ġimpossible": 12266, + "aire": 12267, + "ĠTurn": 12268, + "Ġdish": 12269, + "FG": 12270, + "Ġsensor": 12271, + "ANN": 12272, + "aba": 12273, + "Ġsurg": 12274, + "]);čĊ": 12275, + "Ġfp": 12276, + "_an": 12277, + "-J": 12278, + "-G": 12279, + "ĠJob": 12280, + "Convert": 12281, + "ĠKEY": 12282, + "Ġauthors": 12283, + "_server": 12284, + "\\r": 12285, + "Ġ-*-": 12286, + "flex": 12287, + "Ġsoc": 12288, + "Ret": 12289, + "Ġsalt": 12290, + "ĠâĢ¦ĊĊ": 12291, + "ĠClear": 12292, + "(page": 12293, + "-danger": 12294, + "Ġrooms": 12295, + "conv": 12296, + "#{": 12297, + ".op": 12298, + "ĠArea": 12299, + "_SC": 12300, + "hen": 12301, + "Ġbegins": 12302, + "-y": 12303, + "Ġexcited": 12304, + "Ġignored": 12305, + "Ġbonus": 12306, + "student": 12307, + "ĠMember": 12308, + "Ġrelatively": 12309, + "ĠLow": 12310, + "ĠProdu": 12311, + "ateway": 12312, + "posure": 12313, + "Ġthick": 12314, + "aniel": 12315, + "(view": 12316, + "ĠCrush": 12317, + "Extension": 12318, + "Il": 12319, + "eed": 12320, + "LOC": 12321, + ".im": 12322, + ".Items": 12323, + "Ġconflict": 12324, + ".prevent": 12325, + "252": 12326, + "ĠonCreate": 12327, + "uv": 12328, + "iser": 12329, + "Ġwave": 12330, + "Mar": 12331, + "ĠCommunity": 12332, + "iche": 12333, + "ĠNothing": 12334, + "[m": 12335, + "ĠLee": 12336, + "riends": 12337, + "232": 12338, + "ère": 12339, + "!!!": 12340, + "anz": 12341, + ".result": 12342, + "ĠSK": 12343, + "_PARAM": 12344, + "Ġdemocr": 12345, + "BackColor": 12346, + ".exists": 12347, + "\"It": 12348, + "(options": 12349, + "razy": 12350, + "aser": 12351, + "\\Database": 12352, + "alendar": 12353, + "_ass": 12354, + ";}Ċ": 12355, + "vertex": 12356, + "inecraft": 12357, + "Warning": 12358, + "argo": 12359, + "Ġactor": 12360, + "ĠInstead": 12361, + "ĠUsing": 12362, + "Self": 12363, + "@interface": 12364, + "Ġspeaking": 12365, + "ĠParis": 12366, + "ĠLICENSE": 12367, + ".node": 12368, + "ĠFood": 12369, + "EIF": 12370, + "ĠBi": 12371, + ".Start": 12372, + "ĠIB": 12373, + "Ġuniversity": 12374, + "254": 12375, + "ĠHeader": 12376, + ".product": 12377, + "409": 12378, + "Copy": 12379, + "etc": 12380, + "rical": 12381, + "Ġ>>>": 12382, + "books": 12383, + "Ġalgorithm": 12384, + "Ġ'__": 12385, + "(javax": 12386, + "Ġnumerous": 12387, + "Share": 12388, + "Have": 12389, + "Ġrecru": 12390, + "Ġprove": 12391, + ".substring": 12392, + "health": 12393, + "ел": 12394, + "Ġdecimal": 12395, + "Ġcommission": 12396, + "scription": 12397, + "xC": 12398, + "Ġsummary": 12399, + "atted": 12400, + "Ġcloser": 12401, + "finished": 12402, + "()){Ċ": 12403, + "ĠWood": 12404, + "301": 12405, + "_fields": 12406, + "ku": 12407, + "_items": 12408, + "Flag": 12409, + "Ġconfidence": 12410, + "ĠFederal": 12411, + "dux": 12412, + "Ġcompat": 12413, + "Ġvertical": 12414, + "й": 12415, + "ès": 12416, + ";\">Ċ": 12417, + "_manager": 12418, + "()))Ċ": 12419, + "IDE": 12420, + ":\",": 12421, + "235": 12422, + "__Ċ": 12423, + "ĠWay": 12424, + "221": 12425, + "ÑĪ": 12426, + "Temp": 12427, + "ĠSTR": 12428, + "ritten": 12429, + "Sync": 12430, + "ĠAV": 12431, + "ĠCEO": 12432, + "ĠGuid": 12433, + "Ġenvironmental": 12434, + "Ġcorresponding": 12435, + "ĉconsole": 12436, + "Ġjustice": 12437, + "ĠJS": 12438, + "Ġlived": 12439, + "gar": 12440, + "ĠGraph": 12441, + "ĠStat": 12442, + "ĠiPhone": 12443, + ".al": 12444, + "ĠHD": 12445, + "Ġoccur": 12446, + "Ġthreshold": 12447, + "509": 12448, + "Ġonclick": 12449, + "REG": 12450, + ".GraphicsUnit": 12451, + "Meta": 12452, + "ž": 12453, + "Ġcum": 12454, + ".gnu": 12455, + "ë": 12456, + "Ġobtained": 12457, + "Ġcomplaint": 12458, + "Ġeating": 12459, + "Ġtar": 12460, + "_task": 12461, + "Ġopts": 12462, + "216": 12463, + "(to": 12464, + "Pass": 12465, + "Ġplastic": 12466, + "tility": 12467, + "ĠWin": 12468, + ".preventDefault": 12469, + "pile": 12470, + "ĠGar": 12471, + "Ġquantity": 12472, + "_last": 12473, + "Ġgreatest": 12474, + "Dao": 12475, + "_DIS": 12476, + "ĠUsed": 12477, + "ĠHP": 12478, + "riting": 12479, + "SION": 12480, + "blue": 12481, + "domain": 12482, + "Ġscores": 12483, + "Normal": 12484, + "_admin": 12485, + "ĠASSERT": 12486, + "Then": 12487, + "***": 12488, + "dist": 12489, + "lon": 12490, + "Ġhate": 12491, + "shal": 12492, + "ImageView": 12493, + "database": 12494, + "Ġpand": 12495, + "Ġlogic": 12496, + "=false": 12497, + "bg": 12498, + "ĠConfiguration": 12499, + "Ġnur": 12500, + "OG": 12501, + "Ġmarried": 12502, + ":+": 12503, + "Ġdropped": 12504, + "040": 12505, + "Ġregistration": 12506, + "ом": 12507, + "ultiple": 12508, + "izers": 12509, + "shape": 12510, + ".copy": 12511, + "Ġwearing": 12512, + "ĠCath": 12513, + "Ġdedicated": 12514, + "Ġ...Ċ": 12515, + "Ġadvoc": 12516, + "ĠFamily": 12517, + "Ġstatements": 12518, + "ematic": 12519, + "ampionship": 12520, + "Ġmotiv": 12521, + "ĠHave": 12522, + "Ġblow": 12523, + "Job": 12524, + "cert": 12525, + "_vector": 12526, + "install": 12527, + "ĠCOPY": 12528, + "embed": 12529, + "DIR": 12530, + "ĠSpring": 12531, + "Ġexhib": 12532, + "223": 12533, + "cdn": 12534, + "ĠComment": 12535, + "ĠOptional": 12536, + ".player": 12537, + "ĠDark": 12538, + "(pos": 12539, + "ĠShould": 12540, + "Ġcentre": 12541, + "ĠGuard": 12542, + "ów": 12543, + "Ġtrouble": 12544, + "ENER": 12545, + "(unsigned": 12546, + "_service": 12547, + "Ġns": 12548, + "uling": 12549, + "ĠMexico": 12550, + "ĠNY": 12551, + "mysql": 12552, + "Ġlic": 12553, + "åľ": 12554, + "Mr": 12555, + "-fl": 12556, + "ĠCustomer": 12557, + "idi": 12558, + "Ġ?>ĊĊ": 12559, + "rible": 12560, + "ĠпÑĢ": 12561, + "Ġsizes": 12562, + "_STRING": 12563, + "validation": 12564, + "ĠJon": 12565, + "(Http": 12566, + "addClass": 12567, + "Nodes": 12568, + "Ġfragment": 12569, + "Ġspoke": 12570, + "Ġwaste": 12571, + "Join": 12572, + "Ġillustr": 12573, + "eli": 12574, + "cient": 12575, + "Ġaid": 12576, + "Ġprosec": 12577, + "'){Ċ": 12578, + "Ġpassing": 12579, + "Ġfaces": 12580, + "Shape": 12581, + "_Z": 12582, + "iti": 12583, + "Ġalle": 12584, + "Ġrobot": 12585, + "ĠĠĠĠĠĠĠĊ": 12586, + "ĠSpe": 12587, + "Ġreceiving": 12588, + "ĠDetails": 12589, + "Ġ\")": 12590, + "mg": 12591, + "_REF": 12592, + "Ġcomparison": 12593, + "*,": 12594, + "ĠFound": 12595, + "_session": 12596, + "(U": 12597, + "/F": 12598, + "Ġxxx": 12599, + "Network": 12600, + "ders": 12601, + "Ġcapture": 12602, + "Ġcorre": 12603, + "ĠLtd": 12604, + "ĠAdv": 12605, + "[@": 12606, + "Ġclip": 12607, + "Mill": 12608, + "ĠProfile": 12609, + "Ġendif": 12610, + "Ġoblig": 12611, + "describe": 12612, + ".element": 12613, + "riterion": 12614, + "LD": 12615, + "ered": 12616, + "Ġfavour": 12617, + "score": 12618, + "ĠFilter": 12619, + "attributes": 12620, + "Ġchecks": 12621, + "Inflater": 12622, + "ĠPlus": 12623, + "Ġscientific": 12624, + "Ġprivacy": 12625, + "Head": 12626, + "Ġfeat": 12627, + "Ġdegrees": 12628, + "ĠPale": 12629, + ";\">": 12630, + "Ġfilms": 12631, + "ĠAudio": 12632, + "ĠTag": 12633, + "ĠEnergy": 12634, + "itar": 12635, + "parator": 12636, + "Ġfellow": 12637, + "Ġevt": 12638, + "ĠTri": 12639, + "ĠDAM": 12640, + "cloud": 12641, + "ĠPassword": 12642, + "ĠDemocrats": 12643, + "ĠAcad": 12644, + "$lang": 12645, + "Ġreb": 12646, + "())ĊĊ": 12647, + "нÑĭ": 12648, + "ĠBur": 12649, + "readcr": 12650, + "Ġhex": 12651, + "209": 12652, + "Console": 12653, + "ctl": 12654, + "ousel": 12655, + "ĠWilliam": 12656, + "Ġaz": 12657, + "_PORT": 12658, + "Ġpractices": 12659, + "Ġanywhere": 12660, + "ĠPosition": 12661, + "Ġ->Ċ": 12662, + "iams": 12663, + ".username": 12664, + "placeholder": 12665, + "Ġoder": 12666, + "ĠSecretary": 12667, + "ĠiT": 12668, + "mond": 12669, + "events": 12670, + "?âĢĿ": 12671, + ".Sub": 12672, + "Ġattached": 12673, + "Ġnão": 12674, + "Ġestate": 12675, + "365": 12676, + ".action": 12677, + "Ġfigures": 12678, + "Ġ});čĊ": 12679, + "Ġsubscri": 12680, + ".tag": 12681, + "nam": 12682, + ".plot": 12683, + "noon": 12684, + "liament": 12685, + "Character": 12686, + ".tab": 12687, + "Ġwinter": 12688, + "ĠVariable": 12689, + "Ġtrees": 12690, + "Ġproud": 12691, + "(V": 12692, + "_load": 12693, + "Ġhier": 12694, + "ĠEcon": 12695, + "Ġfd": 12696, + "Ġvictims": 12697, + "Rest": 12698, + "iana": 12699, + "Ġfake": 12700, + ".Println": 12701, + "Ġstrlen": 12702, + "Ġsad": 12703, + "Ġble": 12704, + "Prot": 12705, + "Ġbuttons": 12706, + "Ġtelevision": 12707, + "Ġlogo": 12708, + "extension": 12709, + "ĉj": 12710, + "stein": 12711, + "aciones": 12712, + "Ġ\"\"\"ĊĊ": 12713, + "Ġsimp": 12714, + "Ġrecorded": 12715, + "Ġbrings": 12716, + "Ġprincipal": 12717, + "Ġfees": 12718, + "(source": 12719, + "kdir": 12720, + "Ġutils": 12721, + "Ġcorrectly": 12722, + "fil": 12723, + "Ġwel": 12724, + "Pair": 12725, + "-button": 12726, + "scale": 12727, + "verify": 12728, + "[c": 12729, + "Ġ---": 12730, + "Ġescape": 12731, + "ikes": 12732, + "LowerCase": 12733, + "ician": 12734, + "Ġchapter": 12735, + "ĠTYPE": 12736, + "Ġshadow": 12737, + "Ġawesome": 12738, + "WE": 12739, + "elif": 12740, + "Ġlambda": 12741, + "Ġdistinct": 12742, + "Ġbare": 12743, + "-off": 12744, + "Ġcolour": 12745, + ".appendChild": 12746, + "olec": 12747, + "aga": 12748, + ".fill": 12749, + "ĉsuper": 12750, + "Ġadj": 12751, + "(position": 12752, + ".getItem": 12753, + "242": 12754, + "Short": 12755, + "Ġtotally": 12756, + "VD": 12757, + "ĠTre": 12758, + "_ep": 12759, + "vements": 12760, + "ĠSolution": 12761, + "Ġfundament": 12762, + "Follow": 12763, + "Ġfacility": 12764, + "Ġhappening": 12765, + "OF": 12766, + ".textBox": 12767, + "Span": 12768, + "Ġ«": 12769, + "iden": 12770, + "Ġexceed": 12771, + "(parent": 12772, + "Ġcp": 12773, + "ç»": 12774, + "Ġhasn": 12775, + "Ġpri": 12776, + "Ġconsequ": 12777, + "nen": 12778, + "ĠINTO": 12779, + "Ignore": 12780, + "ĠFuture": 12781, + "Ġcarbon": 12782, + "ĠSteel": 12783, + "fmt": 12784, + "okie": 12785, + "Ġspl": 12786, + "(title": 12787, + "-info": 12788, + "Ġdeals": 12789, + "Ġfixture": 12790, + "ea": 12791, + "Div": 12792, + "Ġtested": 12793, + "_return": 12794, + ")ĊĊĊĊ": 12795, + "upported": 12796, + "ĠCook": 12797, + "Ġpaying": 12798, + "ĠIll": 12799, + "Ġarrested": 12800, + "ĠPrime": 12801, + "_callback": 12802, + ">,Ċ": 12803, + "driver": 12804, + "Once": 12805, + "abb": 12806, + "_bytes": 12807, + "ĠSets": 12808, + "(Object": 12809, + "Ġcc": 12810, + "Ġshell": 12811, + "alo": 12812, + ");//": 12813, + "(log": 12814, + "264": 12815, + "ctors": 12816, + ")": 13301, + "218": 13302, + "Ġ$(\".": 13303, + ".pos": 13304, + "Ġboys": 13305, + "Ġwedding": 13306, + "Ġagents": 13307, + "=\"_": 13308, + "ĠArmy": 13309, + "Ġhint": 13310, + "vision": 13311, + "Ġtech": 13312, + "ĠConnect": 13313, + "Ġlegend": 13314, + "ĠBet": 13315, + ".Base": 13316, + "Subject": 13317, + "Ġlit": 13318, + "Remove": 13319, + "Ġ\":": 13320, + "ĠFinal": 13321, + "pearance": 13322, + "ĠiTunes": 13323, + "Ġparticipants": 13324, + "ĠPython": 13325, + "Ġbusy": 13326, + "iel": 13327, + "vertices": 13328, + "ĠtemplateUrl": 13329, + "ĠClose": 13330, + "Img": 13331, + "ĠCorporation": 13332, + "timestamp": 13333, + "Ġextend": 13334, + "Ġwebsites": 13335, + "Ġpossibility": 13336, + "оÑĤ": 13337, + "Ġkö": 13338, + "Ġmeat": 13339, + "Ġrepresentation": 13340, + "241": 13341, + "Ġĉĉ": 13342, + "_START": 13343, + ".apply": 13344, + "ĠValley": 13345, + "ĠSuccess": 13346, + "Hi": 13347, + "Ġnob": 13348, + "ĠIEnumerable": 13349, + "_select": 13350, + "geo": 13351, + ".\")Ċ": 13352, + "Ġturning": 13353, + "Ġfabric": 13354, + "(\"\");Ċ": 13355, + "Ġperspective": 13356, + "éĹ": 13357, + "ĠSn": 13358, + "Thank": 13359, + ";j": 13360, + ".Parameters": 13361, + "ĉĠĠĠĠĠĠĠĠĠĠĠ": 13362, + "Ġfacts": 13363, + "305": 13364, + "Ġunt": 13365, + ".instance": 13366, + "################################################################": 13367, + "-end": 13368, + "ĠJOIN": 13369, + "ĠHen": 13370, + "Ġuri": 13371, + "åIJį": 13372, + "Ġна": 13373, + "ĠInfo": 13374, + "Ġconducted": 13375, + "ĠÃ¥": 13376, + "OURCE": 13377, + "Ġwine": 13378, + "John": 13379, + ".Errorf": 13380, + "ĠAge": 13381, + "ounded": 13382, + "Ġrealize": 13383, + "312": 13384, + "Ġ];": 13385, + "Ġsubsequ": 13386, + ",m": 13387, + "(User": 13388, + "iano": 13389, + "Ġaccompl": 13390, + "isp": 13391, + ".std": 13392, + "éĩ": 13393, + "ĠBed": 13394, + ".setAttribute": 13395, + "BR": 13396, + "keep": 13397, + "ĠALL": 13398, + "Ġisol": 13399, + "amma": 13400, + "Package": 13401, + "Ġoccasion": 13402, + "-success": 13403, + "ед": 13404, + "ĠLIMITED": 13405, + "strip": 13406, + "()ĊĊĊ": 13407, + "istribution": 13408, + "Colors": 13409, + "Ġ+:+": 13410, + "DidLoad": 13411, + "aler": 13412, + "Ġtid": 13413, + "ĠLED": 13414, + "ĠLinked": 13415, + "ĠCart": 13416, + "())čĊ": 13417, + "_READ": 13418, + "Ġkilling": 13419, + "ĠPHP": 13420, + "fection": 13421, + "Ġinstances": 13422, + "cv": 13423, + "\"/>": 13424, + "Ġsf": 13425, + "Ġtaxes": 13426, + "_location": 13427, + "ĠBitcoin": 13428, + "uable": 13429, + "rank": 13430, + "ignore": 13431, + "track": 13432, + "ка": 13433, + "Ġshouldn": 13434, + "ĠOP": 13435, + "=>{Ċ": 13436, + "Ġkm": 13437, + "Ġhelper": 13438, + "_head": 13439, + "ĠWhether": 13440, + "oco": 13441, + "_bl": 13442, + "Ġstatistics": 13443, + "Ġbeauty": 13444, + "Ġtog": 13445, + "tip": 13446, + "ëĭ¤": 13447, + "Ġcsv": 13448, + "(sql": 13449, + "stdlib": 13450, + "weak": 13451, + "Ġlikes": 13452, + "Äį": 13453, + "Ġrepeat": 13454, + "Ġapartment": 13455, + "Ġemph": 13456, + "_edit": 13457, + "Ġvit": 13458, + "ĉtype": 13459, + "217": 13460, + "Even": 13461, + "uten": 13462, + "Ġcircumstances": 13463, + "bian": 13464, + "Ġsugar": 13465, + "Windows": 13466, + "ìŀ": 13467, + "Ġobserved": 13468, + "/data": 13469, + "Ġcalendar": 13470, + "Ġstrike": 13471, + "ĠRES": 13472, + "_sc": 13473, + "fony": 13474, + "orem": 13475, + "(z": 13476, + "power": 13477, + "etect": 13478, + "ĠSat": 13479, + ".description": 13480, + "Ġgang": 13481, + "ĠSports": 13482, + "ongs": 13483, + "ĠBundle": 13484, + ".sum": 13485, + "once": 13486, + "Ġaccused": 13487, + "Ġexplore": 13488, + "Ġapproximately": 13489, + "Ġlosing": 13490, + "thesis": 13491, + "ĠFund": 13492, + "Ġdiagn": 13493, + "Autowired": 13494, + "properties": 13495, + "Ġ_.": 13496, + "Ġcnt": 13497, + "cedure": 13498, + "Ġyy": 13499, + "Ġgrant": 13500, + "sock": 13501, + ".innerHTML": 13502, + "Ġ]);Ċ": 13503, + "ĠCONFIG": 13504, + "='$": 13505, + "550": 13506, + "]];Ċ": 13507, + "UND": 13508, + "Ġglob": 13509, + "Ġdire": 13510, + "uffle": 13511, + "_MEM": 13512, + "Ġauthentic": 13513, + ">(\"": 13514, + "Ġdecade": 13515, + "ĠImport": 13516, + "Ġoriginally": 13517, + "ĠjQuery": 13518, + "Ġindicate": 13519, + "Ġourselves": 13520, + "Sw": 13521, + ".lbl": 13522, + "enerate": 13523, + "Ġbasically": 13524, + "ĠHom": 13525, + "Ġ+#+": 13526, + "ĠBritain": 13527, + "ĠKar": 13528, + "toEqual": 13529, + ".stop": 13530, + "Ġmodal": 13531, + "isi": 13532, + "Ġsuggests": 13533, + "Ġdtype": 13534, + "Ġtur": 13535, + "bf": 13536, + "Ġconnections": 13537, + "ĠBefore": 13538, + "isted": 13539, + "mouse": 13540, + "Ġpulled": 13541, + ".build": 13542, + "Ġlegislation": 13543, + "Ġforth": 13544, + "pad": 13545, + "ego": 13546, + ".Now": 13547, + "Ġexciting": 13548, + "}ĊĊĊĊ": 13549, + "Ġcompr": 13550, + "Ġshares": 13551, + "Ġrig": 13552, + "green": 13553, + "_vec": 13554, + "Ġenumerate": 13555, + "Auto": 13556, + "icator": 13557, + "ĠRay": 13558, + "asse": 13559, + "Ġholiday": 13560, + "Ġnullable": 13561, + "gun": 13562, + "_details": 13563, + "Ġwrapper": 13564, + "seq": 13565, + "ĠYoung": 13566, + "juana": 13567, + "Ġ\"__": 13568, + "license": 13569, + "serve": 13570, + "^(": 13571, + "iders": 13572, + ".Remove": 13573, + "ropdown": 13574, + "'S": 13575, + "pin": 13576, + "(token": 13577, + ".Default": 13578, + "Ġreasonable": 13579, + "ampion": 13580, + "ĠSociety": 13581, + "Ġbei": 13582, + "erves": 13583, + "rad": 13584, + "ĠFox": 13585, + "_images": 13586, + "Ġwheel": 13587, + "')[": 13588, + "Ġcfg": 13589, + "(By": 13590, + "Constructor": 13591, + "Ġvary": 13592, + ".swift": 13593, + "Ġproxy": 13594, + "ĉH": 13595, + "ĠAnother": 13596, + "ĠPen": 13597, + "Ġchecking": 13598, + "Ġjest": 13599, + "manager": 13600, + "Origin": 13601, + "ugs": 13602, + "oir": 13603, + ">čĊ": 16336, + "Ġrelief": 16337, + "lap": 16338, + "quer": 16339, + "_parent": 16340, + "heap": 16341, + "LOSE": 16342, + "Ġcombine": 16343, + "ĠRose": 16344, + "owers": 16345, + "Ġprocedures": 16346, + "ĠSort": 16347, + "anim": 16348, + "variant": 16349, + "ehicle": 16350, + "Ġsigning": 16351, + "Primary": 16352, + "currency": 16353, + "Ġsexe": 16354, + "oen": 16355, + "theta": 16356, + "eman": 16357, + "Ġimpressive": 16358, + "('_": 16359, + "ĉU": 16360, + "ĠTextStyle": 16361, + "_cnt": 16362, + "Ġslice": 16363, + "(':": 16364, + "Ġunderstood": 16365, + "His": 16366, + "277": 16367, + "013": 16368, + "Ġinformed": 16369, + "Ġnick": 16370, + "429": 16371, + "(TAG": 16372, + "hd": 16373, + "Ġelections": 16374, + "esture": 16375, + "ĠSanta": 16376, + "ĠCoast": 16377, + ".pdf": 16378, + "inciple": 16379, + ".clone": 16380, + "born": 16381, + "uta": 16382, + "Ġlicensed": 16383, + "Cr": 16384, + "Ġbread": 16385, + "ĠHouston": 16386, + "Ġnod": 16387, + "Ġhopes": 16388, + "ĠCGRect": 16389, + "Ġguilty": 16390, + ".gif": 16391, + "Ġrose": 16392, + ".Common": 16393, + "Tip": 16394, + "ANK": 16395, + "ĠFC": 16396, + "During": 16397, + "ĠSymfony": 16398, + "Ġdefensive": 16399, + "km": 16400, + ")>": 16401, + "archive": 16402, + "ĠURI": 16403, + "ycling": 16404, + "-o": 16405, + "ĠWebsite": 16406, + "AMP": 16407, + "405": 16408, + "ishment": 16409, + "Ġdoctors": 16410, + "Direct": 16411, + "ARI": 16412, + "ĠRedirect": 16413, + "ieren": 16414, + "960": 16415, + "_dist": 16416, + "yo": 16417, + "ĠProgress": 16418, + "Ġzum": 16419, + "Ġmemor": 16420, + "ĠED": 16421, + "Ġjur": 16422, + "æį®": 16423, + "_TABLE": 16424, + "Ġuuid": 16425, + "Expr": 16426, + ".head": 16427, + "('%": 16428, + "pointer": 16429, + "Ġestimate": 16430, + "ĠGreg": 16431, + "Ġloader": 16432, + "ĠiOS": 16433, + "Ġmens": 16434, + "[y": 16435, + "Ġrefused": 16436, + "Ġprecision": 16437, + "isch": 16438, + "ĠACTION": 16439, + "Cloud": 16440, + "sWith": 16441, + "(ret": 16442, + "292": 16443, + "_ADDR": 16444, + "_conf": 16445, + "(df": 16446, + "Ġlocked": 16447, + "Ġrising": 16448, + "ãĥ»ãĥ»": 16449, + "ĠMs": 16450, + "Ġscenes": 16451, + "_EXT": 16452, + "_raw": 16453, + "_the": 16454, + "people": 16455, + "Ġrecon": 16456, + "ĠFun": 16457, + "Ġbless": 16458, + "ĠUpdated": 16459, + "422": 16460, + "ün": 16461, + "ĠĠĠĠĠĠĠĠĠĠĠĠčĊ": 16462, + "pection": 16463, + "Release": 16464, + ".logger": 16465, + "ĠSY": 16466, + "Ġcounsel": 16467, + "urd": 16468, + "_true": 16469, + "Ġeverybody": 16470, + "ivot": 16471, + "Ġhence": 16472, + "ĠNAS": 16473, + "789": 16474, + "Ġopposed": 16475, + "unknown": 16476, + "ĠDESC": 16477, + "ĠChair": 16478, + "failed": 16479, + "ĠINCLUDING": 16480, + "386": 16481, + "352": 16482, + "Ġwriters": 16483, + "{}Ċ": 16484, + "ÃŃt": 16485, + "_copy": 16486, + "}:": 16487, + "ĠBat": 16488, + "Ġconverted": 16489, + "eding": 16490, + "placement": 16491, + "ĠHost": 16492, + "Sound": 16493, + "им": 16494, + "Ġsought": 16495, + "402": 16496, + "mid": 16497, + "Ġsalary": 16498, + "ogg": 16499, + "âĦ¢": 16500, + "bul": 16501, + "Ġwir": 16502, + "validator": 16503, + "_STAT": 16504, + ".store": 16505, + "ĠBattle": 16506, + "ın": 16507, + "Ġ-->ĊĊ": 16508, + "Trump": 16509, + "dot": 16510, + "ĠCONT": 16511, + ".fetch": 16512, + "Ġcontinu": 16513, + "was": 16514, + "Ġfraud": 16515, + "_tmp": 16516, + "mitter": 16517, + ".pictureBox": 16518, + "GA": 16519, + "Ġtournament": 16520, + ".Input": 16521, + "343": 16522, + "[r": 16523, + "exion": 16524, + "centage": 16525, + "ĠKorean": 16526, + "undef": 16527, + "ĠAvailable": 16528, + "reshape": 16529, + "Ġkit": 16530, + "ĠStruct": 16531, + "ĠSUB": 16532, + "Answer": 16533, + "_lib": 16534, + ".twitter": 16535, + "Ġore": 16536, + "ĠDragon": 16537, + ".Ext": 16538, + ",k": 16539, + "Ġexplanation": 16540, + "refs": 16541, + "ĠDrive": 16542, + "ĠTraining": 16543, + "282": 16544, + ".Has": 16545, + "341": 16546, + "intage": 16547, + "big": 16548, + "ologist": 16549, + "ennis": 16550, + "460": 16551, + "Ùĩ": 16552, + "Ġchicken": 16553, + "ĠĠĠĠĠĠĠĠĠĠĊ": 16554, + "çĽ": 16555, + "ãģ§": 16556, + "Ġpeak": 16557, + "Ġdrinking": 16558, + "Ġencode": 16559, + "ĠNEW": 16560, + "malloc": 16561, + "ĉfprintf": 16562, + "Ġ=================================================================": 16563, + "including": 16564, + "Ġprinciples": 16565, + "ĠMah": 16566, + "267": 16567, + "storage": 16568, + "-key": 16569, + "Ġkeyword": 16570, + "%;": 16571, + "Ġtrained": 16572, + ".contrib": 16573, + "Ġkv": 16574, + "__':Ċ": 16575, + "ĠBoy": 16576, + "parameter": 16577, + "Ġsuite": 16578, + "Ġthousand": 16579, + "Ġcoordinate": 16580, + "-generated": 16581, + "íķĺ": 16582, + "generated": 16583, + "Ġadmitted": 16584, + "Ġpussy": 16585, + "#w": 16586, + "Ġswim": 16587, + "union": 16588, + "Na": 16589, + "274": 16590, + "ĠRoyal": 16591, + ".channel": 16592, + "Updated": 16593, + "_ROOT": 16594, + "Ġvital": 16595, + "335": 16596, + "raction": 16597, + "ĠCrusher": 16598, + "Ġpreced": 16599, + "Ġhorizontal": 16600, + "Blueprint": 16601, + "Ġattrs": 16602, + "Ġsmoke": 16603, + "ÐĴ": 16604, + ".Equals": 16605, + "FB": 16606, + "ĠResources": 16607, + "rolling": 16608, + "Ġpasses": 16609, + "ĠNum": 16610, + "rotate": 16611, + "etype": 16612, + "\\\",": 16613, + "Ġsensitive": 16614, + "Ġtall": 16615, + "?âĢĿĊĊ": 16616, + "Proxy": 16617, + "iy": 16618, + "_section": 16619, + "âĢĶâĢĶâĢĶâĢĶ": 16620, + "brid": 16621, + "Ġcircuit": 16622, + "atan": 16623, + "ENC": 16624, + "Ġdriven": 16625, + "Ġvoted": 16626, + "Ġeducational": 16627, + "Ġinteraction": 16628, + "abetes": 16629, + "Ġtone": 16630, + "ĠInitializeComponent": 16631, + "Ġmerely": 16632, + "Ġìŀ": 16633, + "cookie": 16634, + "_div": 16635, + "ĠUILabel": 16636, + "vely": 16637, + "});čĊ": 16638, + "_ENT": 16639, + "#+#+": 16640, + "articles": 16641, + "ĠSouthern": 16642, + "Ġstronger": 16643, + "ĠGiven": 16644, + "ĠEric": 16645, + "ĠIR": 16646, + "abstract": 16647, + "Under": 16648, + "nable": 16649, + "Ġincrement": 16650, + "oven": 16651, + "Ġcoin": 16652, + "_timer": 16653, + "Ġsuffered": 16654, + "ĠFREE": 16655, + "'].\"": 16656, + "ĠQueen": 16657, + "stats": 16658, + "Ġmeetings": 16659, + "276": 16660, + "Ġentering": 16661, + "Ġalongside": 16662, + "(session": 16663, + "itals": 16664, + "Ġfoundation": 16665, + "ĠCredit": 16666, + ".div": 16667, + "_ALL": 16668, + "pcion": 16669, + "_stat": 16670, + "icking": 16671, + "Defaults": 16672, + "_src": 16673, + "Ġoutputs": 16674, + "/B": 16675, + "Ġenthus": 16676, + "-bl": 16677, + ".ForeColor": 16678, + "ĉtemp": 16679, + "Face": 16680, + "Ġinteract": 16681, + "Ġweird": 16682, + "Mount": 16683, + "rell": 16684, + "udents": 16685, + "Ġrequirement": 16686, + "ĠSus": 16687, + "IER": 16688, + "Ġelected": 16689, + "reference": 16690, + "ĠME": 16691, + "Ġservers": 16692, + ".wait": 16693, + "Ġsnapshot": 16694, + "ilton": 16695, + "Ġtries": 16696, + "Ġtipo": 16697, + ".Time": 16698, + ">w": 16699, + "Ġmountain": 16700, + "Ġpounds": 16701, + "Ġ[...": 16702, + "exists": 16703, + "ĠngOn": 16704, + "_MAP": 16705, + "Ġflying": 16706, + "331": 16707, + "xiety": 16708, + "ĉvalue": 16709, + "_DB": 16710, + "uno": 16711, + "Ġseats": 16712, + "TURN": 16713, + ".author": 16714, + "!)": 16715, + "orce": 16716, + "Ġindicated": 16717, + "317": 16718, + ".sin": 16719, + "Ġassignment": 16720, + "imiento": 16721, + "ĠFrame": 16722, + "324": 16723, + "_gen": 16724, + "inery": 16725, + "_)": 16726, + "messages": 16727, + ".settings": 16728, + "ĠMean": 16729, + "ĠMuseum": 16730, + "irq": 16731, + "attach": 16732, + "ĠPalestin": 16733, + "_QU": 16734, + "_tags": 16735, + "Ġcasual": 16736, + "emen": 16737, + "ASSWORD": 16738, + "432": 16739, + "$s": 16740, + "ĠCirc": 16741, + "ой": 16742, + "etric": 16743, + "/P": 16744, + "018": 16745, + "Ġepoch": 16746, + "The": 16761, + "ĠAk": 16762, + "Ġgrass": 16763, + "/*čĊ": 16764, + "(dis": 16765, + "Ġguns": 16766, + "Ġtb": 16767, + "ĠKevin": 16768, + ".args": 16769, + "ĠAh": 16770, + "oped": 16771, + "(J": 16772, + "columns": 16773, + "arguments": 16774, + "ĠWithEvents": 16775, + "_full": 16776, + "ĠDefense": 16777, + "Simple": 16778, + "Ġdeaths": 16779, + "295": 16780, + "Ġextensive": 16781, + "ĠStill": 16782, + "ĠExpression": 16783, + "ĠAgency": 16784, + "Ġperforming": 16785, + "FX": 16786, + "Ġusuario": 16787, + "UAL": 16788, + "Side": 16789, + "odos": 16790, + "aptop": 16791, + "Ġcredentials": 16792, + "_cap": 16793, + "atient": 16794, + "ĠDisney": 16795, + "Ġai": 16796, + "Ġchip": 16797, + "Ġvolt": 16798, + ".makeText": 16799, + "%%%%%%%%%%%%%%%%": 16800, + "Ġbelief": 16801, + "_LOC": 16802, + "ĠCivil": 16803, + "Navigation": 16804, + "Ġreveal": 16805, + "Ġviolent": 16806, + "ĠFil": 16807, + "Ġcatalog": 16808, + "emed": 16809, + "scan": 16810, + ".control": 16811, + "Ġconstitution": 16812, + "Country": 16813, + "Separator": 16814, + "_APP": 16815, + "topic": 16816, + "uetooth": 16817, + "MIN": 16818, + "Ġdescriptor": 16819, + "yt": 16820, + "ETHER": 16821, + "Ġdistribute": 16822, + "'}Ċ": 16823, + ".trim": 16824, + ".Line": 16825, + "Ġlbl": 16826, + "assertEquals": 16827, + "ĠDet": 16828, + "ombok": 16829, + "(width": 16830, + "Ġtort": 16831, + "ĠEXPRESS": 16832, + "aco": 16833, + "Using": 16834, + "ĠBrand": 16835, + "wall": 16836, + "EMENT": 16837, + "ĠCommunic": 16838, + "(Ċ": 17492, + "?>\"": 17493, + "Ġ///Ċ": 17494, + "Ġeiner": 17495, + "Ġweekly": 17496, + "ĉlogger": 17497, + "_pop": 17498, + "_man": 17499, + "Ġmigrations": 17500, + "Ġasks": 17501, + "Ġbs": 17502, + "Ġfalls": 17503, + ".Where": 17504, + "-height": 17505, + "_feature": 17506, + ".Min": 17507, + "Ġhyper": 17508, + "Ġvolatile": 17509, + "Ġtwenty": 17510, + "Typography": 17511, + "Unable": 17512, + "Det": 17513, + ",f": 17514, + "-mod": 17515, + "Ġsettlement": 17516, + "Ġcontracts": 17517, + "nome": 17518, + "Bad": 17519, + "ĠBrian": 17520, + "768": 17521, + "(username": 17522, + "!!!!": 17523, + "Ġhack": 17524, + ".Field": 17525, + "HR": 17526, + "ĠJordan": 17527, + "iza": 17528, + "ĠÂł": 17529, + "ĠSher": 17530, + ".header": 17531, + "(other": 17532, + "ĠDub": 17533, + "(op": 17534, + "ĠRound": 17535, + "Ġvie": 17536, + "Ġappl": 17537, + "ĉJ": 17538, + "ĠInsert": 17539, + "ĠLP": 17540, + "regon": 17541, + "ĠMPI": 17542, + "Ġanchor": 17543, + "aca": 17544, + "ør": 17545, + "Ġade": 17546, + "anchor": 17547, + "quee": 17548, + "ĠTreeNode": 17549, + "Ġtargeted": 17550, + "Ġlaid": 17551, + "ABEL": 17552, + "vet": 17553, + "ĠOrigin": 17554, + "Ant": 17555, + ".');Ċ": 17556, + "expect": 17557, + "edReader": 17558, + "ĠMajor": 17559, + "Ġinch": 17560, + "Compar": 17561, + "Ġpreview": 17562, + "Ġillness": 17563, + "ĠCONTRACT": 17564, + "ĠIndepend": 17565, + "uuid": 17566, + "Ġnome": 17567, + "Ġtc": 17568, + "ĠAvenue": 17569, + "isan": 17570, + "Ġphrase": 17571, + "_move": 17572, + "\")[": 17573, + "412": 17574, + "Ġprovision": 17575, + "Ġconcentr": 17576, + "_IR": 17577, + "ĠUt": 17578, + "()+": 17579, + "Ġnas": 17580, + "!,": 17581, + "ĠRobin": 17582, + "iations": 17583, + "atitude": 17584, + "Ġpx": 17585, + "ĠWithout": 17586, + "/bash": 17587, + "ekt": 17588, + "reement": 17589, + "342": 17590, + "Observer": 17591, + "318": 17592, + "ĠRegion": 17593, + "UBLIC": 17594, + "Ġ{//": 17595, + "KN": 17596, + "å·": 17597, + "GameObject": 17598, + "å¾": 17599, + "encoding": 17600, + "Ġ***": 17601, + "projects": 17602, + "Ġtk": 17603, + "Ġcheese": 17604, + "EMPL": 17605, + "aro": 17606, + "ĠاÙĦ": 17607, + "610": 17608, + "337": 17609, + "Ġconsists": 17610, + "refresh": 17611, + "ureau": 17612, + "ĠScanner": 17613, + "Ġsoil": 17614, + "Ġflavor": 17615, + "DataSource": 17616, + "Execute": 17617, + "ение": 17618, + "Ġshit": 17619, + "åĪĨ": 17620, + "Ċ": 17875, + "Ġsubsequent": 17876, + "posable": 17877, + "-fluid": 17878, + "Ġthorough": 17879, + "Ġpublicly": 17880, + "apters": 17881, + "ĠWilson": 17882, + "_PRE": 17883, + "yard": 17884, + "ä¼": 17885, + "ĉin": 17886, + "339": 17887, + "Ġrevers": 17888, + "Ġbullet": 17889, + "cribed": 17890, + "nesota": 17891, + "Ġ($_": 17892, + "annon": 17893, + "cursor": 17894, + "Ġclothing": 17895, + "ĠMulti": 17896, + "287": 17897, + ":',": 17898, + "Ġvess": 17899, + "ordinator": 17900, + "Ġeinem": 17901, + "Cannot": 17902, + "Ġarmed": 17903, + "ĉV": 17904, + "ä¸Ĭ": 17905, + ".Flat": 17906, + "ĠSep": 17907, + "ĠSubject": 17908, + "_font": 17909, + "Ġcharacteristics": 17910, + "Done": 17911, + "eln": 17912, + "############": 17913, + "POS": 17914, + "Ġdensity": 17915, + "ĠPlatform": 17916, + "-items": 17917, + "Ġovers": 17918, + "Ġpushing": 17919, + "ç¤": 17920, + ".Connection": 17921, + "_term": 17922, + "Ġinitialization": 17923, + "________________________________": 17924, + "ç¬": 17925, + ".document": 17926, + "lesh": 17927, + "ĉdocument": 17928, + "ĠPin": 17929, + "ça": 17930, + "Ġdefinitions": 17931, + ".Path": 17932, + "_WRITE": 17933, + "ĠĉĊ": 17934, + "?>ĊĊ": 17935, + "Ġterrible": 17936, + "bean": 17937, + "ickets": 17938, + "ĠSV": 17939, + "Buy": 17940, + "(task": 17941, + "Ġregime": 17942, + "google": 17943, + "Ġcrack": 17944, + ".visit": 17945, + "NUM": 17946, + "energy": 17947, + "Ġstruck": 17948, + "_sample": 17949, + ".payload": 17950, + "Ġrevis": 17951, + "ĠScene": 17952, + "Ġpg": 17953, + "Ġbreakfast": 17954, + "URRENT": 17955, + ".charAt": 17956, + "_exception": 17957, + "ĠAnton": 17958, + "Ġguidelines": 17959, + "Ġexhaust": 17960, + "ĠFinancial": 17961, + "Ġindent": 17962, + "Ġdesktop": 17963, + "Hidden": 17964, + "Failure": 17965, + "Ġprinciple": 17966, + "Ġiv": 17967, + "Ġseks": 17968, + "network": 17969, + "ĠnumberOf": 17970, + "ĠAlbert": 17971, + "ĉlong": 17972, + "801": 17973, + ",.": 17974, + "Ġzeros": 17975, + "fade": 17976, + "ĠTyp": 17977, + "ĠTerm": 17978, + "ĠArts": 17979, + ".Application": 17980, + "Ġbehalf": 17981, + "æĪ·": 17982, + "Ġmere": 17983, + "(`${": 17984, + "Ġawareness": 17985, + "elpers": 17986, + "flix": 17987, + "Ġweigh": 17988, + "Ġestimates": 17989, + ".child": 17990, + "/O": 17991, + "ĠBitmap": 17992, + ".bottom": 17993, + "Ġ**************************************************************************": 17994, + "Expect": 17995, + "ento": 17996, + "ĠForum": 17997, + "veral": 17998, + "Ġjail": 17999, + "Ġabilities": 18000, + "ĠHOLD": 18001, + "ĠCit": 18002, + "Ġdynam": 18003, + "Ġgray": 18004, + "ĉĉĉĉĉĉĉĉĉĉĉĉĉ": 18005, + ".nextInt": 18006, + "antly": 18007, + "ĠARISING": 18008, + "(private": 18009, + "Ġrejected": 18010, + "ĠNic": 18011, + "Ġleather": 18012, + "={Ċ": 18013, + "alytics": 18014, + "thetic": 18015, + ".Top": 18016, + "373": 18017, + ".Page": 18018, + "={`": 18019, + "Ġ;čĊ": 18020, + "depth": 18021, + "mann": 18022, + "WD": 18023, + "ĠSom": 18024, + ".Right": 18025, + "Ġ)}Ċ": 18026, + "Ġtrait": 18027, + "ÃĹ": 18028, + "iac": 18029, + "Ġrv": 18030, + "Sample": 18031, + ".Xml": 18032, + "opped": 18033, + "ĠÑĦ": 18034, + "lists": 18035, + "Ġtear": 18036, + "iversary": 18037, + ".collection": 18038, + "ĠConstitution": 18039, + "ĠHttpResponse": 18040, + "Ġbrill": 18041, + "ĠProm": 18042, + "hover": 18043, + "366": 18044, + "ĠMiami": 18045, + "Ġargue": 18046, + "_float": 18047, + "504": 18048, + "ĠãĤ": 18049, + "Ġnat": 18050, + "ĠTal": 18051, + "Ġintegration": 18052, + "(cur": 18053, + "Ġremoving": 18054, + "Ġcoeff": 18055, + "ĠThough": 18056, + "Ġforecast": 18057, + "408": 18058, + "ĠVegas": 18059, + "Site": 18060, + "346": 18061, + "Ġtrab": 18062, + "ĠHenry": 18063, + "-i": 18064, + "Ġinvolves": 18065, + "BT": 18066, + "Ġslo": 18067, + "Invoke": 18068, + "Ġlucky": 18069, + "025": 18070, + "rat": 18071, + "Ġ?Ċ": 18072, + "Ġhandled": 18073, + "(fd": 18074, + "contents": 18075, + "ĠOFF": 18076, + "RF": 18077, + "Ġsty": 18078, + "ĠMotor": 18079, + "tery": 18080, + "tax": 18081, + "MAP": 18082, + "ĠMrs": 18083, + "Ġphones": 18084, + "ĠUIView": 18085, + "\")));Ċ": 18086, + "(dev": 18087, + "ĠIrish": 18088, + "019": 18089, + "Ġws": 18090, + "DI": 18091, + "_OFFSET": 18092, + "ĠEvents": 18093, + "Ġstages": 18094, + "Ġ}//": 18095, + "Ġhaben": 18096, + "STANCE": 18097, + "ĠSin": 18098, + "ĠMoney": 18099, + "(top": 18100, + "Ġappointment": 18101, + "VERSION": 18102, + "metadata": 18103, + "_comment": 18104, + "Ġcolleagues": 18105, + "maps": 18106, + "âĺ": 18107, + "ĊĉĊ": 18108, + "(al": 18109, + "_req": 18110, + "Ġfut": 18111, + "Ġarchitecture": 18112, + "351": 18113, + "ĠWHETHER": 18114, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 18115, + "_screen": 18116, + "ĠstyleUrls": 18117, + "Ġmonster": 18118, + ".up": 18119, + "phia": 18120, + "Ġprocessor": 18121, + "ĠTerr": 18122, + "=',": 18123, + "ĠManufact": 18124, + "ĠNT": 18125, + "kel": 18126, + "ibern": 18127, + "ĉfile": 18128, + "Ali": 18129, + "rientation": 18130, + "Ġ//!": 18131, + "apore": 18132, + "aneous": 18133, + "ĠCreat": 18134, + "folder": 18135, + "415": 18136, + "Ġhay": 18137, + "Suppress": 18138, + "(left": 18139, + "Ġeuro": 18140, + "Ġdisclaimer": 18141, + "ustry": 18142, + "ships": 18143, + "_fd": 18144, + "ĠFa": 18145, + "_insert": 18146, + "Ġrol": 18147, + "ifting": 18148, + "ĠComments": 18149, + "_br": 18150, + "Ġlosses": 18151, + "ĠAdded": 18152, + "charg": 18153, + "Ġпо": 18154, + "_system": 18155, + "ĠSometimes": 18156, + "ĠSpain": 18157, + "(group": 18158, + "ialis": 18159, + "Ġdollar": 18160, + "ĠArgs": 18161, + "499": 18162, + "297": 18163, + "quires": 18164, + "ĠTen": 18165, + ".scss": 18166, + "Ġsurvive": 18167, + "usage": 18168, + "Ġjun": 18169, + "imiter": 18170, + "ï¼ģĊĊ": 18171, + "Ġfifth": 18172, + "toggle": 18173, + "Ġdecline": 18174, + "($\"": 18175, + "(Long": 18176, + "inge": 18177, + "Ġpilot": 18178, + "-light": 18179, + "-radius": 18180, + "Ġpodcast": 18181, + "Ġnaturally": 18182, + "Pages": 18183, + "为": 18184, + "ĠDespite": 18185, + "Ġlighting": 18186, + "Ġcrate": 18187, + "ĠBinary": 18188, + "Ġreducing": 18189, + "Ġeleg": 18190, + "ĠMouse": 18191, + "ĠTestBed": 18192, + "ĠbeforeEach": 18193, + "_ARRAY": 18194, + "Redirect": 18195, + "329": 18196, + "Ġflood": 18197, + "Ġships": 18198, + "363": 18199, + "Ġelectricity": 18200, + ")*(": 18201, + "ê¸": 18202, + "ĠViet": 18203, + "hero": 18204, + "Ġdia": 18205, + "ĠKent": 18206, + "heart": 18207, + "Ġthreats": 18208, + "_acc": 18209, + "Ġsymbols": 18210, + "ischen": 18211, + "_inst": 18212, + "Criterion": 18213, + "ĠTIM": 18214, + ".Height": 18215, + "580": 18216, + "ĠâĢĻ": 18217, + "();ĊĊĊ": 18218, + "Products": 18219, + "_SP": 18220, + "ĠCy": 18221, + "Ġdependent": 18222, + "este": 18223, + "Ġdatos": 18224, + "dit": 18225, + "ав": 18226, + "IGNAL": 18227, + "Ġlesson": 18228, + "\">'": 18229, + "ĠCover": 18230, + "ĠHope": 18231, + "ĠTimer": 18232, + "Ġdad": 18233, + "viders": 18234, + "ĠPhot": 18235, + "/?": 18236, + "ropy": 18237, + "oming": 18238, + "asion": 18239, + "Ġ\\(": 18240, + "ĠET": 18241, + "ĠReading": 18242, + "Ġepisodes": 18243, + "lm": 18244, + "421": 18245, + "echa": 18246, + "Ġneuro": 18247, + "820": 18248, + "Ġharmon": 18249, + "Ġliberal": 18250, + "-ind": 18251, + "393": 18252, + "DATA": 18253, + "Ġeveryday": 18254, + "Ġdivided": 18255, + "ĠActiveRecord": 18256, + "figure": 18257, + "UA": 18258, + "ä¹": 18259, + "riendly": 18260, + "tech": 18261, + "601": 18262, + ".gameObject": 18263, + "иÑĤÑĮ": 18264, + "374": 18265, + "Ġmoon": 18266, + "ftime": 18267, + "Ġnoch": 18268, + "ĠTORT": 18269, + "ĠVM": 18270, + ".initial": 18271, + "(child": 18272, + "Ġmusical": 18273, + "Ġoc": 18274, + "bas": 18275, + "ĠHay": 18276, + "361": 18277, + "_long": 18278, + "Ġmemset": 18279, + "iley": 18280, + "adelphia": 18281, + "SV": 18282, + "roat": 18283, + "_tx": 18284, + "Ġlon": 18285, + "ĠngOnInit": 18286, + "bp": 18287, + "ĠGolden": 18288, + "ACHE": 18289, + "Ġworried": 18290, + "azi": 18291, + "Ear": 18292, + "Take": 18293, + "(fp": 18294, + "burgh": 18295, + "_Data": 18296, + "gres": 18297, + "ĠOnt": 18298, + "pus": 18299, + "Ġtransparent": 18300, + "Ġpocket": 18301, + "Ġram": 18302, + "igrations": 18303, + ".čĊčĊ": 18304, + "Ġ[(": 18305, + "Ġadopted": 18306, + "Ġreportedly": 18307, + "ĠDream": 18308, + "Ġ}));Ċ": 18309, + "losing": 18310, + "Ġteeth": 18311, + "ĠBooks": 18312, + "\",&": 18313, + "enny": 18314, + "LEMENT": 18315, + "Ġgel": 18316, + "ĠPlant": 18317, + "437": 18318, + "!âĢĿ": 18319, + ".host": 18320, + "ĠReply": 18321, + "376": 18322, + "rength": 18323, + "Ġrecognition": 18324, + "Ġ}}>Ċ": 18325, + "LA": 18326, + "Ġmirror": 18327, + "Ġassistant": 18328, + "(device": 18329, + "Ġspiritual": 18330, + "builder": 18331, + "§": 18332, + "Ġoutr": 18333, + "Ġtt": 18334, + "ĠPER": 18335, + "Ġradical": 18336, + "Methods": 18337, + "Ġpace": 18338, + "udy": 18339, + "Ġgut": 18340, + "ĠGreek": 18341, + "Ġnonatomic": 18342, + "ĠPaper": 18343, + "_GPIO": 18344, + "Ġobst": 18345, + ".Ad": 18346, + "vironments": 18347, + "ĠSov": 18348, + "356": 18349, + "(con": 18350, + "ĠTransaction": 18351, + ".assign": 18352, + "ĉcatch": 18353, + "elter": 18354, + "Ġbitcoin": 18355, + "_GR": 18356, + "ĠčĊ": 18473, + "metic": 18474, + "Ġtransformation": 18475, + "åı·": 18476, + "Ġrgb": 18477, + "istributions": 18478, + "Ġimplicit": 18479, + "/in": 18480, + "destination": 18481, + "аÑĤÑĮ": 18482, + "Zero": 18483, + "Ġunset": 18484, + "920": 18485, + ".where": 18486, + ".go": 18487, + "Ġformation": 18488, + "Ġdeclaration": 18489, + "()čĊčĊ": 18490, + "ĠExpl": 18491, + "ĉĉĉĠĠ": 18492, + "/pro": 18493, + ".JSON": 18494, + "441": 18495, + "Ġdesk": 18496, + ".substr": 18497, + "//----------------------------------------------------------------------------": 18498, + "lyn": 18499, + "pson": 18500, + "407": 18501, + "disable": 18502, + "ĠFunc": 18503, + "ĉAssert": 18504, + "ĠMARK": 18505, + "Ġdefeat": 18506, + "Ġblind": 18507, + "Ġconstants": 18508, + "362": 18509, + ".headers": 18510, + "UILD": 18511, + "Ġexpenses": 18512, + "Pixel": 18513, + "Ġhr": 18514, + "Ġfel": 18515, + "ĠEastern": 18516, + "424": 18517, + "490": 18518, + "_del": 18519, + "357": 18520, + "ĠCub": 18521, + "Ġsq": 18522, + "ĉcount": 18523, + "ĠDirectory": 18524, + "Ġexclus": 18525, + "Ġhistoric": 18526, + "Ġ------------------------------------------------": 18527, + "Ġcomposition": 18528, + "ĠdataGridView": 18529, + "ĠBurn": 18530, + "ĠBC": 18531, + "Master": 18532, + "Ġspawn": 18533, + "Ġbearing": 18534, + ".SetActive": 18535, + "ilo": 18536, + "Ġgallery": 18537, + "Ġfounded": 18538, + "Ġavailability": 18539, + ".sqrt": 18540, + "Ġpes": 18541, + "ĠDOM": 18542, + "mate": 18543, + "Oct": 18544, + "Ġmatched": 18545, + "itivity": 18546, + "Ġanxiety": 18547, + ".price": 18548, + "ĠInstant": 18549, + "ìĬ": 18550, + "Ġtut": 18551, + "ICollection": 18552, + ".shared": 18553, + "_sql": 18554, + "tbl": 18555, + "library": 18556, + "_destroy": 18557, + "ermal": 18558, + "ĠNotes": 18559, + "ĠEin": 18560, + "Ġsouthern": 18561, + "ĠOTHERWISE": 18562, + "Ġmacro": 18563, + ".lower": 18564, + "cls": 18565, + "ContentView": 18566, + ".link": 18567, + "constant": 18568, + "ĠBes": 18569, + "Ġsomebody": 18570, + "nb": 18571, + "399": 18572, + "\">{": 18573, + "(local": 18574, + ".....": 18575, + "ĠNull": 18576, + "mx": 18577, + "Ġç": 18578, + "Ġpause": 18579, + "-----------": 18580, + "_MO": 18581, + "ĠCM": 18582, + "ĠforKey": 18583, + "ĠDVD": 18584, + "Ġclosest": 18585, + "_DEVICE": 18586, + "ĠStephen": 18587, + "ĠBBC": 18588, + "ĠTravel": 18589, + "Paint": 18590, + "ĠResults": 18591, + "ĠRule": 18592, + "Ġtp": 18593, + "Ġratings": 18594, + "cin": 18595, + "csv": 18596, + ">/": 18597, + "ĠGOP": 18598, + "lad": 18599, + "ĠÑĢ": 18600, + "ĠindexPath": 18601, + "matrix": 18602, + "=f": 18603, + "arsed": 18604, + "Ġ});": 18605, + "ĠCos": 18606, + "ĠScore": 18607, + "Ġtak": 18608, + "ĠESP": 18609, + "ĠINC": 18610, + "_NULL": 18611, + "-flex": 18612, + "\"][": 18613, + "into": 18614, + "eland": 18615, + "Authorization": 18616, + "_FALSE": 18617, + "Ġgate": 18618, + "Ġvid": 18619, + "istent": 18620, + "TIME": 18621, + "Ġrewrite": 18622, + "Ġtie": 18623, + "Ġarchive": 18624, + "511": 18625, + ".events": 18626, + ".getParameter": 18627, + "ĠPermission": 18628, + "Ġprogramme": 18629, + "Ġé": 18630, + "jud": 18631, + "Ġcameras": 18632, + "338": 18633, + "349": 18634, + "(sys": 18635, + "ĠSyrian": 18636, + "Ġimprovements": 18637, + "Ġhip": 18638, + "Ġsuicide": 18639, + "Ġscholar": 18640, + "Ġcompatible": 18641, + "022": 18642, + "remote": 18643, + ".down": 18644, + "FUNCTION": 18645, + "Ġmanaging": 18646, + "ĠUIKit": 18647, + ".raw": 18648, + ">>>>": 18649, + "371": 18650, + "Ġdemands": 18651, + "ellite": 18652, + "Ġdent": 18653, + "ĠMicro": 18654, + "åıĸ": 18655, + "'][$": 18656, + "ĠIE": 18657, + "imension": 18658, + "Ġtrem": 18659, + "630": 18660, + "Ġgained": 18661, + ".with": 18662, + ".ok": 18663, + "hou": 18664, + "Ġbom": 18665, + "ampaign": 18666, + "Ġjoining": 18667, + "fish": 18668, + "ĠaddSubview": 18669, + "860": 18670, + "Ġnorthern": 18671, + ".cor": 18672, + "oret": 18673, + "Die": 18674, + "inish": 18675, + "_comp": 18676, + "Ġattended": 18677, + "Ġcollapse": 18678, + "ĠSS": 18679, + "acent": 18680, + "_EQUAL": 18681, + "ĠDeep": 18682, + "RGB": 18683, + "ĉtest": 18684, + "olves": 18685, + "uset": 18686, + "UnityEngine": 18687, + "writer": 18688, + "Resolver": 18689, + ",%": 18690, + "ifference": 18691, + "_remove": 18692, + "onda": 18693, + "Ġfemme": 18694, + "385": 18695, + "decode": 18696, + "Branch": 18697, + "Ġflush": 18698, + "Ġinnovative": 18699, + "Tests": 18700, + "Ġ['./": 18701, + "Ġcovering": 18702, + ".admin": 18703, + "ultipart": 18704, + "(lambda": 18705, + "namespace": 18706, + "ĠSport": 18707, + "Ġ!(": 18708, + "acles": 18709, + "Ġdepression": 18710, + "ĠKong": 18711, + "570": 18712, + "Ġpert": 18713, + "ĠConn": 18714, + "ĠOtherwise": 18715, + "/home": 18716, + "supported": 18717, + "Ġpink": 18718, + "Ġinvited": 18719, + "ños": 18720, + "_enabled": 18721, + "Ġ-Ċ": 18722, + "FW": 18723, + "eners": 18724, + "ĠMY": 18725, + "Ġsuggestions": 18726, + "Canvas": 18727, + "Ġfer": 18728, + "ĠMarketing": 18729, + "@Test": 18730, + "untu": 18731, + "ĠVen": 18732, + "ĠCou": 18733, + "ivals": 18734, + "Donald": 18735, + "limited": 18736, + "ĉĉĉĉĉĉĊ": 18737, + "Ġanalyst": 18738, + "(entry": 18739, + "Ġrepresentative": 18740, + "_attributes": 18741, + "Ġfur": 18742, + ".hide": 18743, + "resp": 18744, + "adores": 18745, + "rides": 18746, + "ĠJosh": 18747, + "robot": 18748, + "ĠNAT": 18749, + "Ġsesso": 18750, + "Ġintegrated": 18751, + ":true": 18752, + "parts": 18753, + "Ġstupid": 18754, + ":event": 18755, + "@endsection": 18756, + "Ġpu": 18757, + ".Table": 18758, + "ĠYii": 18759, + "`;ĊĊ": 18760, + "Ġclang": 18761, + "=\"\">": 18762, + "engan": 18763, + "_parameters": 18764, + ".internal": 18765, + "ĠModern": 18766, + "Ġmetric": 18767, + "Ġsemi": 18768, + "={{Ċ": 18769, + "707": 18770, + ".amazon": 18771, + "ĠBB": 18772, + "ainty": 18773, + "viewport": 18774, + "367": 18775, + "ĠstartActivity": 18776, + "dispatch": 18777, + "*****": 18778, + "Ġflav": 18779, + "ifferent": 18780, + "382": 18781, + "[this": 18782, + "Ġstake": 18783, + "Ġargued": 18784, + "viously": 18785, + ".work": 18786, + "ĠOak": 18787, + "Old": 18788, + "(async": 18789, + "notes": 18790, + "Ġflip": 18791, + "Ġdisag": 18792, + "ĠTE": 18793, + "ĉerror": 18794, + "<'": 18795, + "Ġ»ĊĊ": 18796, + "Ġfiltered": 18797, + "ĠMach": 18798, + "Ġhung": 18799, + "_dump": 18800, + "_samples": 18801, + "-dismiss": 18802, + "Ġray": 18803, + "Implemented": 18804, + "DK": 18805, + "Ġjed": 18806, + "090": 18807, + "Ġbreaks": 18808, + "Ġfits": 18809, + ".gr": 18810, + "ĠZero": 18811, + "oro": 18812, + "Ġequally": 18813, + "Ġ'[": 18814, + "Ġconcerning": 18815, + "<": 18914, + "Ġpromot": 18915, + "Ġincl": 18916, + "_only": 18917, + "를": 18918, + "ĠAttorney": 18919, + "-date": 18920, + "Ġlandscape": 18921, + "Ġfu": 18922, + "SY": 18923, + ".prop": 18924, + "ĠArr": 18925, + "pag": 18926, + "ParallelGroup": 18927, + "':čĊ": 18928, + "Ġlogs": 18929, + "aunch": 18930, + "unci": 18931, + "nama": 18932, + "TableCell": 18933, + "issues": 18934, + ".{": 18935, + "ecurity": 18936, + "_exec": 18937, + "olds": 18938, + "Ġhosts": 18939, + "Ġproto": 18940, + "_import": 18941, + "_sort": 18942, + "ĠBow": 18943, + "ĠNormal": 18944, + "ĠFarm": 18945, + ".createParallelGroup": 18946, + "Rotation": 18947, + ".err": 18948, + "Ġpleased": 18949, + "itage": 18950, + ".Wh": 18951, + "ĉĉĠĠĠĠ": 18952, + "MR": 18953, + "ĠMORE": 18954, + "ĠNatural": 18955, + "_transform": 18956, + "BASE": 18957, + "eneral": 18958, + "utdown": 18959, + ".commons": 18960, + "WT": 18961, + "Ġaan": 18962, + ".Result": 18963, + "dog": 18964, + "Ġclicking": 18965, + "),ĊĊ": 18966, + "#line": 18967, + "Operator": 18968, + "Ġciv": 18969, + "Ġmerg": 18970, + "obuf": 18971, + "ngthen": 18972, + "Ġ[{": 18973, + "Ġcancell": 18974, + "trigger": 18975, + ".:": 18976, + "WORK": 18977, + "declare": 18978, + "Ġdecrease": 18979, + "ÅĽci": 18980, + "loom": 18981, + ".None": 18982, + "ĠMI": 18983, + "ĠJason": 18984, + "Ġhealthcare": 18985, + "iamond": 18986, + "sylvania": 18987, + "*x": 18988, + "ĠRa": 18989, + "[b": 18990, + "Ġprinting": 18991, + "phabet": 18992, + "ĠLabour": 18993, + "opper": 18994, + "Ġzijn": 18995, + "-target": 18996, + "_FUNCTION": 18997, + "Ġoct": 18998, + "ениÑı": 18999, + "åľ¨": 19000, + "Ġwestern": 19001, + "Ġcomputers": 19002, + "ĠRET": 19003, + "HashMap": 19004, + "[String": 19005, + "getValue": 19006, + "_DATE": 19007, + ".Next": 19008, + "ĠFif": 19009, + "él": 19010, + "icked": 19011, + "æİ": 19012, + "-MM": 19013, + "Ġ{ĊĊĊ": 19014, + "Ġcontacts": 19015, + "Ġdigits": 19016, + "Produ": 19017, + "Ġunusual": 19018, + "Ġrapidly": 19019, + "tures": 19020, + "Ġangry": 19021, + "cancel": 19022, + "xxxx": 19023, + "_parser": 19024, + "idity": 19025, + "_PREFIX": 19026, + "710": 19027, + "Ġmehr": 19028, + "Ġrarely": 19029, + "ethe": 19030, + "opes": 19031, + "Ġ%.": 19032, + "works": 19033, + "Ġtheta": 19034, + "Ġcontribution": 19035, + "ĠTony": 19036, + "Ġsquad": 19037, + "537": 19038, + "ай": 19039, + "Ġîn": 19040, + "there": 19041, + "outed": 19042, + "ĉq": 19043, + "ĻĤ": 19044, + "good": 19045, + "LI": 19046, + "页": 19047, + "ĠLiving": 19048, + "izabeth": 19049, + "Ġkt": 19050, + "ĠDallas": 19051, + "]],Ċ": 19052, + "Ġ/>ĊĊ": 19053, + "Ġraising": 19054, + "/router": 19055, + "_game": 19056, + "368": 19057, + "ĠCUR": 19058, + "zens": 19059, + ".es": 19060, + "ĠfontWeight": 19061, + "(func": 19062, + "notification": 19063, + "Ġ'../../../": 19064, + "Ġblame": 19065, + "ãĢĤĊĊĊĊ": 19066, + "anco": 19067, + "980": 19068, + "Identity": 19069, + "follow": 19070, + "Ġarts": 19071, + "xs": 19072, + "Ġofficially": 19073, + "ĠStudio": 19074, + "Ġrecommendations": 19075, + "Ġlocale": 19076, + "Ġamateur": 19077, + "ĠEnable": 19078, + "Ġcaps": 19079, + ".End": 19080, + "388": 19081, + "-add": 19082, + "_gshared": 19083, + "ĠCT": 19084, + "Force": 19085, + "ĊĠĠĠĠĠĠĠĠĠĠĠĠĊ": 19086, + "Ġorange": 19087, + "Ġlp": 19088, + "Ġanswered": 19089, + ".Grid": 19090, + "Ġdual": 19091, + "Ġstrategic": 19092, + "Ġnobody": 19093, + "Ġfatal": 19094, + "_est": 19095, + "(el": 19096, + "Ġìł": 19097, + "ĠBudd": 19098, + "AIT": 19099, + "_factor": 19100, + "-one": 19101, + "ĠHAVE": 19102, + "\"čĊčĊ": 19103, + "760": 19104, + "Prof": 19105, + "Ġär": 19106, + "strings": 19107, + "Ġdirty": 19108, + "ĠFace": 19109, + "ĠBegin": 19110, + "ĠBus": 19111, + "Ġwis": 19112, + "åŃĹ": 19113, + "Ġspeaker": 19114, + "Ġcarrier": 19115, + "ĠOm": 19116, + "Ġhadn": 19117, + "Allow": 19118, + "::__": 19119, + "Ġverb": 19120, + "ĠComplete": 19121, + "ĠEasy": 19122, + "Ġbills": 19123, + "ĠĠĊĊ": 19124, + "Vertical": 19125, + "Ġpron": 19126, + "ĠDefine": 19127, + "Ġlookup": 19128, + "variables": 19129, + "Ġpandas": 19130, + "umes": 19131, + "Ġinnoc": 19132, + "ĠsetUp": 19133, + "ĠChampionship": 19134, + "artist": 19135, + "ĠCType": 19136, + "Foundation": 19137, + "à¹Ī": 19138, + "ĠSetup": 19139, + "428": 19140, + "Ġrecipes": 19141, + "ĠUIColor": 19142, + "ĠFight": 19143, + "Ġauthorized": 19144, + "_click": 19145, + "990": 19146, + "_success": 19147, + "angan": 19148, + "ĠMountain": 19149, + "ĠDoctor": 19150, + "Ġegg": 19151, + "ĠMedicine": 19152, + "cles": 19153, + "`.Ċ": 19154, + "[int": 19155, + "dashboard": 19156, + "ĠAppro": 19157, + "-dr": 19158, + "Ġproduces": 19159, + "Ġrental": 19160, + "Ġreload": 19161, + "381": 19162, + "Ġarrival": 19163, + "spot": 19164, + "Ġundert": 19165, + "378": 19166, + "Ġequipped": 19167, + "Ġproved": 19168, + "Ġcenters": 19169, + "Ġdefines": 19170, + "also": 19171, + "Ġopacity": 19172, + "ĠUnfortunately": 19173, + "ĠIllinois": 19174, + "Ġне": 19175, + "ĠTemple": 19176, + "ĠTrail": 19177, + "ĠKelly": 19178, + "Ġmeasurement": 19179, + "Ġseparated": 19180, + "-circle": 19181, + "Hey": 19182, + "ĠREAD": 19183, + "igits": 19184, + "Ġib": 19185, + "ĠMOD": 19186, + "attery": 19187, + "аз": 19188, + "Ġvend": 19189, + "енÑĤ": 19190, + "ĠHttpClient": 19191, + "359": 19192, + "safe": 19193, + "_ASS": 19194, + "icit": 19195, + "ĠConstruct": 19196, + "ĠClo": 19197, + "ĠSix": 19198, + "_TOKEN": 19199, + "(block": 19200, + "Ġwarned": 19201, + "/*!": 19202, + "!Ċ": 19296, + "Ġinnovation": 19297, + "_\"": 19298, + "Ġ);čĊčĊ": 19299, + "Ġspots": 19300, + "Ġchoosing": 19301, + ".cs": 19302, + "Ġflexible": 19303, + "UInt": 19304, + "435": 19305, + "930": 19306, + "Ġscratch": 19307, + "-al": 19308, + "Ġfestival": 19309, + "Ġoutstanding": 19310, + "================================================": 19311, + "Mean": 19312, + "ĠOregon": 19313, + "symbol": 19314, + ".account": 19315, + "dney": 19316, + "'''": 19317, + "!\",": 19318, + "901": 19319, + "Ġparticle": 19320, + "Ãĥ": 19321, + "[MAX": 19322, + "IVER": 19323, + "ERENCE": 19324, + "NSMutable": 19325, + "ĠColumbia": 19326, + "_ĊĊ": 19327, + ".fr": 19328, + "Ġcogn": 19329, + "VR": 19330, + "ĠMethods": 19331, + "ĠMade": 19332, + "ĠBR": 19333, + "ĠElse": 19334, + "Ġeggs": 19335, + "Ġswing": 19336, + "ĠInv": 19337, + "Ġdiseases": 19338, + "Ġfirms": 19339, + "Ġlemma": 19340, + "}`);Ċ": 19341, + "lings": 19342, + "Ġgym": 19343, + "uminum": 19344, + ".Trim": 19345, + "Mem": 19346, + "Ġcriticism": 19347, + "ibernate": 19348, + "_TX": 19349, + "ioni": 19350, + "Ġguidance": 19351, + "Ġrepeatedly": 19352, + "Ġsupplier": 19353, + "Ġpainting": 19354, + "864": 19355, + ".Fragment": 19356, + "edException": 19357, + "Ġwiring": 19358, + "Ġcourts": 19359, + "WEB": 19360, + "æľī": 19361, + "\\.": 19362, + "illance": 19363, + "Ġbrows": 19364, + "ĠPattern": 19365, + "PLICATION": 19366, + "ĠSummer": 19367, + "Chain": 19368, + "Ġcute": 19369, + "mercial": 19370, + "Ġdil": 19371, + "ĠFranklin": 19372, + "ĉglobal": 19373, + "INCLUDING": 19374, + "history": 19375, + "Ġlst": 19376, + "Qt": 19377, + "SDL": 19378, + "alia": 19379, + "iere": 19380, + "(...": 19381, + "ĉcin": 19382, + "iffs": 19383, + "velope": 19384, + "ĠRoot": 19385, + "cluster": 19386, + "UserName": 19387, + "igne": 19388, + "()Ċ": 19485, + "Ġapplying": 19486, + "Ġpromised": 19487, + "Ġox": 19488, + "ncia": 19489, + "ĠValidation": 19490, + "orts": 19491, + "_cur": 19492, + "elect": 19493, + "eye": 19494, + "(Data": 19495, + "Ġreporter": 19496, + "ĠBuff": 19497, + "395": 19498, + "Ġsr": 19499, + "Ġ\";": 19500, + "icky": 19501, + "Ġtempor": 19502, + "SN": 19503, + "Ġresident": 19504, + "pires": 19505, + "ysical": 19506, + "Ġendorse": 19507, + "ĠSong": 19508, + "isEmpty": 19509, + "leet": 19510, + "_util": 19511, + "Ġdistingu": 19512, + "ĠTalk": 19513, + "ĠMot": 19514, + "(default": 19515, + ".Arg": 19516, + "gorithms": 19517, + "_words": 19518, + "immer": 19519, + "_reset": 19520, + "family": 19521, + "WW": 19522, + "Ġsavings": 19523, + "ĠâĢĿ": 19524, + "_enable": 19525, + "sidebar": 19526, + "Running": 19527, + "Ġali": 19528, + "Ġtestim": 19529, + "Ġwarnings": 19530, + "ĠChem": 19531, + "ĠExit": 19532, + "Ġfounder": 19533, + "pector": 19534, + "Ġrm": 19535, + "_dataset": 19536, + "ĠDas": 19537, + "Ġhan": 19538, + "Getty": 19539, + "ál": 19540, + "Ġny": 19541, + "Ġpoverty": 19542, + "Ġresulted": 19543, + ".by": 19544, + "ĠVisit": 19545, + "Ġobtaining": 19546, + "/'.$": 19547, + "ĠĠĠĠĠĠĠĠĠĠĠĊ": 19548, + "shall": 19549, + "_LEFT": 19550, + "UIImage": 19551, + "_Name": 19552, + "have": 19553, + "ĠNob": 19554, + "lr": 19555, + "-footer": 19556, + "Ġnaked": 19557, + "ĠGarden": 19558, + "\\Facades": 19559, + "Ġgraduate": 19560, + "417": 19561, + "Ġfranchise": 19562, + "plane": 19563, + "Ġcontributions": 19564, + "ĠstringWith": 19565, + "Ġcrypto": 19566, + "Ġmovements": 19567, + "athers": 19568, + "Ġlifetime": 19569, + "Ġcommunicate": 19570, + "jar": 19571, + "ĠFragment": 19572, + "_IF": 19573, + "ĠNavy": 19574, + "ĠFigure": 19575, + "Ġsimulation": 19576, + "_stop": 19577, + "Ġreporters": 19578, + "Ġversus": 19579, + "aja": 19580, + "Ġα": 19581, + "Ġgovernor": 19582, + "ListItem": 19583, + "Ġsealed": 19584, + ".Background": 19585, + "edi": 19586, + "ashing": 19587, + "Ġlip": 19588, + "ĠIh": 19589, + "merge": 19590, + "Ġnec": 19591, + "024": 19592, + "elocity": 19593, + "ATEG": 19594, + "Ġseeds": 19595, + "Ġfloating": 19596, + "701": 19597, + "_FA": 19598, + "walk": 19599, + "ĉuser": 19600, + "_depth": 19601, + "Ġwage": 19602, + "@app": 19603, + "Nil": 19604, + "([\"": 19605, + "(vector": 19606, + "Ġsecretary": 19607, + "461": 19608, + "ĠjPanel": 19609, + "vez": 19610, + "³³³³": 19611, + "direction": 19612, + "ĠEP": 19613, + "Ġhunt": 19614, + "396": 19615, + "JsonProperty": 19616, + "ĠPORT": 19617, + "]\",": 19618, + "ап": 19619, + "ĠForeign": 19620, + "panic": 19621, + "Ġtrials": 19622, + "ĠAle": 19623, + "Ġrural": 19624, + "-value": 19625, + "authorized": 19626, + "ĠScotland": 19627, + ".drop": 19628, + "ĠMT": 19629, + "ç±": 19630, + "391": 19631, + "rowth": 19632, + "515": 19633, + "FilePath": 19634, + "Ġrecall": 19635, + "ifle": 19636, + "Ġcel": 19637, + "ĠSELECT": 19638, + "kn": 19639, + "_case": 19640, + "Ġcrop": 19641, + "543": 19642, + "sure": 19643, + "pot": 19644, + "ICS": 19645, + "Ġstem": 19646, + "Ġindustries": 19647, + "Put": 19648, + "Ġaber": 19649, + "roadcast": 19650, + "Icons": 19651, + ")\")Ċ": 19652, + "æĪIJåĬŁ": 19653, + "gui": 19654, + "Ġassumed": 19655, + "Ġrx": 19656, + "EA": 19657, + "è§": 19658, + "ELL": 19659, + "Ġdose": 19660, + "Ġine": 19661, + "Ġdeeper": 19662, + "lider": 19663, + "Ġordinary": 19664, + "Ġgolf": 19665, + "605": 19666, + "_IMAGE": 19667, + "ĠNAME": 19668, + "(module": 19669, + "Ġatom": 19670, + "Ġbelt": 19671, + "Ġoffices": 19672, + "506": 19673, + "beta": 19674, + "Ġphilosophy": 19675, + "(JSON": 19676, + "-field": 19677, + "Ġintroduce": 19678, + "Ġconvenience": 19679, + "optim": 19680, + ">\"Ċ": 19681, + "athy": 19682, + "Ġemployer": 19683, + "quate": 19684, + "Ġedited": 19685, + "Arguments": 19686, + "ĠNations": 19687, + "__)": 19688, + "Ġnose": 19689, + "ĠSample": 19690, + "')ĊĊĊ": 19691, + "Ġcake": 19692, + ".getAttribute": 19693, + "HD": 19694, + "392": 19695, + "Modified": 19696, + "445": 19697, + "Ġpredicted": 19698, + "ÅĦ": 19699, + "anie": 19700, + "Sorry": 19701, + "(doc": 19702, + "wind": 19703, + "ieve": 19704, + "Ġprovisions": 19705, + "ATER": 19706, + "OTE": 19707, + "MY": 19708, + ".Autowired": 19709, + "ĠBath": 19710, + "423": 19711, + ".Boolean": 19712, + "Ġbackend": 19713, + ".Mouse": 19714, + "ateral": 19715, + "paper": 19716, + "Const": 19717, + "ĠVR": 19718, + "_entity": 19719, + "_CTRL": 19720, + "ĠProtection": 19721, + "ĠGM": 19722, + "ĠStudy": 19723, + "Ġsoup": 19724, + "otime": 19725, + "'use": 19726, + "]\"": 19727, + "/users": 19728, + "aug": 19729, + "ĠHong": 19730, + "_norm": 19731, + "ãģ¨": 19732, + "Ġsecre": 19733, + "(Build": 19734, + "ĠContract": 19735, + "olas": 19736, + "Ġsauce": 19737, + "Ġaggressive": 19738, + "Ġracial": 19739, + "character": 19740, + "@@": 19741, + "Ġcompile": 19742, + "ĠVoid": 19743, + "_rem": 19744, + "_memory": 19745, + "348": 19746, + "kk": 19747, + "Ġmic": 19748, + "Same": 19749, + "Utility": 19750, + "ĠHtml": 19751, + "ĠXml": 19752, + "Ready": 19753, + "Ġgall": 19754, + "Ġallegedly": 19755, + "ĉĉĉĉĠĠĠ": 19756, + "ĠMetal": 19757, + "ĠPersonal": 19758, + "ĠborderRadius": 19759, + "rxjs": 19760, + "objects": 19761, + "Ġwanting": 19762, + "Ġbowl": 19763, + "vendor": 19764, + "offsetof": 19765, + "ĠRs": 19766, + "ĠRating": 19767, + "Ġrally": 19768, + "_NODE": 19769, + "418": 19770, + "ĠMix": 19771, + "Ġadvertis": 19772, + "485": 19773, + "667": 19774, + "Ġnarrative": 19775, + "sal": 19776, + "Ġmc": 19777, + "SError": 19778, + "Ġfingers": 19779, + "Ġaccompany": 19780, + "Ġtired": 19781, + "Ġstride": 19782, + "Ġgui": 19783, + "elist": 19784, + "Locale": 19785, + "Ġreleases": 19786, + "iking": 19787, + "Ġanger": 19788, + ")))ĊĊ": 19789, + "allest": 19790, + "Summary": 19791, + "(O": 19792, + "(for": 19793, + "Ġbasketball": 19794, + "Ġroads": 19795, + "ĠInstall": 19796, + "ĠFab": 19797, + "itmap": 19798, + "475": 19799, + "Ġ))Ċ": 19800, + "Ġintersection": 19801, + "ighbor": 19802, + "ĠBry": 19803, + "ĠHERE": 19804, + "Software": 19805, + "elfare": 19806, + "acs": 19807, + "622": 19808, + "Ġtrailer": 19809, + ".getClass": 19810, + "chars": 19811, + "Ġregulation": 19812, + "Ġrefers": 19813, + "Ġdestruction": 19814, + "Ġcontinuous": 19815, + "ĠAustin": 19816, + "é¢": 19817, + "akan": 19818, + ".window": 19819, + "ĠTemplates": 19820, + "Ġabsence": 19821, + ":n": 19822, + "Ġdisorder": 19823, + "flash": 19824, + "Ġdelet": 19825, + "boards": 19826, + "ĠĠĉ": 19827, + "ROP": 19828, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 19829, + "Ġacqu": 19830, + "Ġlawsuit": 19831, + "ĠReviews": 19832, + "Ġgarage": 19833, + "timer": 19834, + "Ġej": 19835, + "ĠRectangle": 19836, + "Ġflowers": 19837, + "398": 19838, + "ilst": 19839, + "ĠInstance": 19840, + "Super": 19841, + "det": 19842, + "disposing": 19843, + "ĠES": 19844, + "ĠIC": 19845, + "vere": 19846, + "Sk": 19847, + "_channels": 19848, + "puted": 19849, + "/null": 19850, + "nnen": 19851, + "431": 19852, + "ĠGallery": 19853, + "_global": 19854, + "Authentication": 19855, + "ĠRank": 19856, + "Ġblocked": 19857, + "Ġcalm": 19858, + "market": 19859, + "ĉval": 19860, + "Ġaug": 19861, + "period": 19862, + "ĠConstant": 19863, + "Ġ?>\">Ċ": 19864, + "Ġlobby": 19865, + "pal": 19866, + "379": 19867, + "Ġsink": 19868, + "508": 19869, + "iah": 19870, + "С": 19871, + "urname": 19872, + "Ġconver": 19873, + "Ġinvestigate": 19874, + "Christ": 19875, + "Hub": 19876, + "ĠIND": 19877, + "ĠPed": 19878, + "uras": 19879, + "ĉurl": 19880, + "ĠTro": 19881, + "Ġpreferences": 19882, + "Ġguaranteed": 19883, + "`ĊĊ": 19884, + "Ġportions": 19885, + "Ġevalu": 19886, + "'>;ĊĊ": 19985, + ".AutoScaleMode": 19986, + "Ġcats": 19987, + "465": 19988, + "Ġregistry": 19989, + "ulus": 19990, + "FI": 19991, + "payload": 19992, + "-search": 19993, + "Ġstaying": 19994, + "acious": 19995, + "Decoration": 19996, + "Review": 19997, + "Inf": 19998, + "Keep": 19999, + "itis": 20000, + ",String": 20001, + "Coord": 20002, + "Ġpero": 20003, + "Sex": 20004, + "ĠAtlanta": 20005, + "uesta": 20006, + "Argb": 20007, + ">*": 20008, + "}_": 20009, + "Footer": 20010, + "Ġemployed": 20011, + "_bound": 20012, + "vide": 20013, + ".func": 20014, + "$scope": 20015, + "Ġspo": 20016, + "ĠAnal": 20017, + "ounced": 20018, + "around": 20019, + "Ġrestriction": 20020, + "Ġshops": 20021, + "åĢ": 20022, + "ĠLatin": 20023, + "-col": 20024, + "Ġbarely": 20025, + "ĠEuro": 20026, + "Er": 20027, + "Ġfaire": 20028, + "_distance": 20029, + "_unlock": 20030, + "Quote": 20031, + "IVATE": 20032, + "ĠåĪ": 20033, + "Ġaimed": 20034, + "ĠRetrie": 20035, + ".iter": 20036, + "Ġwrapped": 20037, + "Ġagreements": 20038, + "strument": 20039, + "(product": 20040, + "Ġstudied": 20041, + ".setValue": 20042, + "Ġye": 20043, + "ĠCache": 20044, + "MBOL": 20045, + "Ġquarterback": 20046, + "Ġsyntax": 20047, + ".getElementsBy": 20048, + ".version": 20049, + "website": 20050, + "Runner": 20051, + "_single": 20052, + "ativ": 20053, + "ĠAltern": 20054, + "ĠBeautiful": 20055, + "rightarrow": 20056, + "Ġdiversity": 20057, + "plash": 20058, + "(co": 20059, + ".Fill": 20060, + "Ġtyping": 20061, + "387": 20062, + "023": 20063, + "Ġclar": 20064, + "Hit": 20065, + "OO": 20066, + "acco": 20067, + "507": 20068, + "worth": 20069, + "Ġscripts": 20070, + "ĠMuslims": 20071, + "ĠLL": 20072, + "erving": 20073, + "(boolean": 20074, + "Ġbaseball": 20075, + "ĠCAN": 20076, + "394": 20077, + "044": 20078, + "MAIL": 20079, + "depend": 20080, + "Ġrespective": 20081, + "Ġconstexpr": 20082, + ".*;ĊĊ": 20083, + "']))Ċ": 20084, + "Ġyard": 20085, + "Ġidentical": 20086, + "ifecycle": 20087, + "USH": 20088, + "upiter": 20089, + ".validate": 20090, + "cli": 20091, + "ISTER": 20092, + "Indicator": 20093, + "Fail": 20094, + "Ġdemocracy": 20095, + ".var": 20096, + "Ġsatisfied": 20097, + "-------------": 20098, + "encer": 20099, + "hor": 20100, + "Ġrounds": 20101, + "DAO": 20102, + "oa": 20103, + "Ġflask": 20104, + "=c": 20105, + "[]Ċ": 20106, + "/dist": 20107, + "Ġparte": 20108, + "Ġconfirmation": 20109, + "eron": 20110, + "aware": 20111, + "": 20112, + "Ġdependencies": 20113, + "ĠVideos": 20114, + "-row": 20115, + "Ġ**/Ċ": 20116, + "Ġnou": 20117, + "Ġhover": 20118, + "æŀ": 20119, + "Ġnin": 20120, + "ĠUSD": 20121, + "Mac": 20122, + "_Load": 20123, + "Ġoutcomes": 20124, + "_socket": 20125, + "Ġqueries": 20126, + "wm": 20127, + "592": 20128, + "Ġhitting": 20129, + "inux": 20130, + "Mich": 20131, + "udge": 20132, + "ATAB": 20133, + "Ġvulnerable": 20134, + "ä¾": 20135, + "Ġportfolio": 20136, + ":YES": 20137, + "ĉmap": 20138, + "Bound": 20139, + "Ġiteration": 20140, + "incess": 20141, + "Ġactors": 20142, + "ĠQual": 20143, + "_clean": 20144, + "ãĢijãĢIJ": 20145, + "MSG": 20146, + "Green": 20147, + "ĠOfficer": 20148, + "Ġsmoking": 20149, + ">',": 20150, + "ĠFlo": 20151, + "++;": 20152, + "433": 20153, + "olygon": 20154, + "Ġbulk": 20155, + "Ġdrama": 20156, + "Ġexceptions": 20157, + "osed": 20158, + "Ġ+čĊ": 20159, + "Ġlegacy": 20160, + "CV": 20161, + "Ġcontributed": 20162, + "ĠTerms": 20163, + "Ġbt": 20164, + "434": 20165, + "Ġuntuk": 20166, + "Ġalien": 20167, + "===Ċ": 20168, + "ĉVector": 20169, + "Ġls": 20170, + "Online": 20171, + ".facebook": 20172, + "numeric": 20173, + "ockets": 20174, + "Aut": 20175, + "bury": 20176, + "-redux": 20177, + "ĠRedistributions": 20178, + "GLOBALS": 20179, + "urrencies": 20180, + "Ġtons": 20181, + "âĢĻ,": 20182, + "Ġê": 20183, + "(col": 20184, + "ĠSymbol": 20185, + "Ġstayed": 20186, + "ĠML": 20187, + "Ġmunicip": 20188, + "Ġsexo": 20189, + "Sen": 20190, + "nr": 20191, + "Ġgains": 20192, + "Ġshortly": 20193, + ".Menu": 20194, + "ý": 20195, + "KNOWN": 20196, + "Ġoperators": 20197, + "-V": 20198, + "ĠPatrick": 20199, + "/add": 20200, + "_CO": 20201, + "iration": 20202, + "(post": 20203, + "Posts": 20204, + "/_": 20205, + "Ġplug": 20206, + "Ġintellectual": 20207, + "Ġmetab": 20208, + "Ġpregnancy": 20209, + "ĠPremier": 20210, + "nm": 20211, + "Ġprediction": 20212, + "606": 20213, + "ĠMinistry": 20214, + "Three": 20215, + "valuate": 20216, + "ĠMini": 20217, + "bu": 20218, + "оз": 20219, + "\";čĊ": 20679, + "ĠSav": 20680, + ".Bold": 20681, + "Ġenables": 20682, + "ĉtmp": 20683, + "Ġmanually": 20684, + "ĠSqu": 20685, + "userid": 20686, + ".function": 20687, + ".cache": 20688, + "LOPT": 20689, + ".Services": 20690, + "588": 20691, + "ddit": 20692, + "tim": 20693, + ">>": 20761, + "station": 20762, + "lore": 20763, + "atype": 20764, + "ishop": 20765, + "/****************************************************************": 20766, + "521": 20767, + "ComboBox": 20768, + "Ġvacation": 20769, + "Ġinitiative": 20770, + "ĠdefaultValue": 20771, + "770": 20772, + "concat": 20773, + "ĠKh": 20774, + "632": 20775, + "ĠWelcome": 20776, + "izedName": 20777, + "Migration": 20778, + "Ġgradient": 20779, + "Hot": 20780, + "Ġhardly": 20781, + "elo": 20782, + "ĠStudents": 20783, + "Ġloose": 20784, + "730": 20785, + "atz": 20786, + ".Send": 20787, + "'/": 20788, + "Ġuniversal": 20789, + "Ġenterprise": 20790, + "Ġregex": 20791, + "Ġvisitor": 20792, + "ĠFly": 20793, + "Seq": 20794, + "à¸Ļ": 20795, + "ĠVisual": 20796, + "Ġlibraries": 20797, + "atoes": 20798, + "Payment": 20799, + "447": 20800, + "Ġpent": 20801, + "Ġgathered": 20802, + "VRTX": 20803, + "ĠDM": 20804, + "Split": 20805, + "Ġletting": 20806, + "ÐĿ": 20807, + "_errors": 20808, + "epoch": 20809, + "PARAM": 20810, + "cu": 20811, + "ÑģÑĤв": 20812, + "olutions": 20813, + "Editing": 20814, + "fonts": 20815, + "Ġallocated": 20816, + "ĠBased": 20817, + "(Y": 20818, + "ĠJudge": 20819, + "Ġbrothers": 20820, + "FILES": 20821, + "ço": 20822, + "531": 20823, + "wb": 20824, + "_PI": 20825, + "'^": 20826, + "Ġsword": 20827, + ".services": 20828, + "Ġnl": 20829, + "Tim": 20830, + "igg": 20831, + "ĠMoore": 20832, + "Ġcryptoc": 20833, + "åĩº": 20834, + "_posts": 20835, + "otate": 20836, + "?'": 20837, + "....ĊĊ": 20838, + "Ġkl": 20839, + "=\"$": 20840, + "Ġdecoration": 20841, + "ạ": 20842, + "ĠDIRECT": 20843, + "GUI": 20844, + ")=>{Ċ": 20845, + "Ġnewsletter": 20846, + "Ġprecis": 20847, + "(point": 20848, + "ĠEquipment": 20849, + "uty": 20850, + "ĠDave": 20851, + "Ġparticipation": 20852, + "uarios": 20853, + "xit": 20854, + ".As": 20855, + "ETER": 20856, + "orous": 20857, + "Ġshield": 20858, + "[]>": 20859, + "ilitary": 20860, + ".origin": 20861, + "Ġpromotion": 20862, + "Unt": 20863, + "Ġct": 20864, + "TRA": 20865, + "556": 20866, + "ViewHolder": 20867, + "Ġsigma": 20868, + "delta": 20869, + "arehouse": 20870, + "contract": 20871, + "(Vector": 20872, + "721": 20873, + "Ġcompete": 20874, + "/form": 20875, + "/components": 20876, + "Ġnr": 20877, + "ĠIndones": 20878, + "ĠоÑĤ": 20879, + "ĠVolume": 20880, + ".files": 20881, + "(resp": 20882, + "/models": 20883, + "Ġsurf": 20884, + "standard": 20885, + "/o": 20886, + "ĠXCTAssert": 20887, + "VICES": 20888, + ".Code": 20889, + "SED": 20890, + "Ġactivate": 20891, + "Delta": 20892, + "Ġlimitation": 20893, + "rij": 20894, + "Ġpregnant": 20895, + ":^(": 20896, + "Ġsour": 20897, + "pie": 20898, + "803": 20899, + "Ġexpense": 20900, + "ication": 20901, + "ĠLarge": 20902, + "Ġ±": 20903, + "ĠBowl": 20904, + "(models": 20905, + "/N": 20906, + "857": 20907, + "Pa": 20908, + ".reload": 20909, + "Ġwondering": 20910, + "462": 20911, + "Execution": 20912, + "ĉĠĠĠĠĠĠ": 20913, + "ĠGraphics": 20914, + "ĠContin": 20915, + "_job": 20916, + "ĠgetName": 20917, + "ĠMagn": 20918, + "ĠDWORD": 20919, + "mad": 20920, + "Ġnh": 20921, + "features": 20922, + "}\");Ċ": 20923, + "heets": 20924, + "(train": 20925, + "zn": 20926, + "Ġrecruit": 20927, + ".connection": 20928, + "Ġbarrel": 20929, + "Ġsteam": 20930, + "_setting": 20931, + "Ġangular": 20932, + "aneously": 20933, + "Ġbil": 20934, + "ĠNorm": 20935, + "522": 20936, + "(!$": 20937, + "ibt": 20938, + "%(": 20939, + "Ġposit": 20940, + "ĠFather": 20941, + "intendo": 20942, + "565": 20943, + "Live": 20944, + "041": 20945, + "Ġports": 20946, + "Ġmej": 20947, + "Ġlanding": 20948, + "ponder": 20949, + "Ġcod": 20950, + "_HEADER": 20951, + ".Margin": 20952, + "Ġballs": 20953, + "Ġdiscussions": 20954, + "Ġblend": 20955, + "Hex": 20956, + "Ġfarmers": 20957, + "Ġmaintaining": 20958, + "ĠĠĠčĊ": 20959, + "syn": 20960, + "[T": 20961, + "rus": 20962, + "439": 20963, + "uffers": 20964, + "Ġcontributors": 20965, + "_sys": 20966, + ".Debug": 20967, + "Ġconstructed": 20968, + "omes": 20969, + "?id": 20970, + "slider": 20971, + "Ġsuppliers": 20972, + "611": 20973, + "scriber": 20974, + "pes": 20975, + "Ðŀ": 20976, + "\":čĊ": 20977, + "\\Controller": 20978, + "))ĊĊĊ": 20979, + "Ġlua": 20980, + "Multi": 20981, + "ENS": 20982, + "Src": 20983, + "Ġpetition": 20984, + "Ġslave": 20985, + "looking": 20986, + "VERT": 20987, + "ĉvector": 20988, + "Special": 20989, + "hh": 20990, + "anne": 20991, + "ĠNiger": 20992, + "/views": 20993, + "zing": 20994, + "endant": 20995, + "(": 21238, + "544": 21239, + ".Product": 21240, + "Forms": 21241, + "NEW": 21242, + "Pay": 21243, + "ĉboolean": 21244, + "_contact": 21245, + "ĠElectric": 21246, + "skip": 21247, + "Ġwur": 21248, + "Ġchronic": 21249, + "_driver": 21250, + "940": 21251, + "ĠSab": 21252, + "ĠUlt": 21253, + "ĠRad": 21254, + "STATUS": 21255, + "ĠLewis": 21256, + "OB": 21257, + "Ġgifts": 21258, + ".Rec": 21259, + "TRUE": 21260, + "Ġintensity": 21261, + "Marker": 21262, + ".compare": 21263, + "ffic": 21264, + "Cookie": 21265, + "ĠBaby": 21266, + "ĠBigDecimal": 21267, + "ilet": 21268, + "ĠHOLDERS": 21269, + "ĠLady": 21270, + "Ġlung": 21271, + "ĠAlabama": 21272, + "Ġdess": 21273, + "`);Ċ": 21274, + "ĠBuilder": 21275, + "_region": 21276, + "Ġneutral": 21277, + "909": 21278, + "Both": 21279, + "Ġhp": 21280, + "Ġhorn": 21281, + "Ġsegments": 21282, + "ĠEC": 21283, + "\"=>\"": 21284, + "(rec": 21285, + "ĠPi": 21286, + "GM": 21287, + "Ġlaptop": 21288, + "Scalar": 21289, + "463": 21290, + "isd": 21291, + "-dialog": 21292, + "ĠAnderson": 21293, + "Ġmistakes": 21294, + "708": 21295, + "ĠHan": 21296, + "jes": 21297, + "estination": 21298, + "436": 21299, + "Ġpromises": 21300, + "bid": 21301, + "ĠScient": 21302, + "GIN": 21303, + "ĠPerformance": 21304, + "bage": 21305, + ".users": 21306, + "leading": 21307, + "Ġoral": 21308, + "Graphics": 21309, + "488": 21310, + "_PTR": 21311, + "518": 21312, + "hang": 21313, + "Ġinev": 21314, + "processing": 21315, + "Factor": 21316, + "ĠNA": 21317, + "$string": 21318, + "Ġgrounds": 21319, + ".SaveChanges": 21320, + "clock": 21321, + "941": 21322, + "cripcion": 21323, + "ĠNewton": 21324, + "gc": 21325, + ".includes": 21326, + "Ġblast": 21327, + "Ġ'-'": 21328, + "Ġpuede": 21329, + "469": 21330, + ".Session": 21331, + "Ġgrep": 21332, + "_final": 21333, + "ĠGay": 21334, + "ĠGive": 21335, + "iri": 21336, + "-star": 21337, + "ĠUIImage": 21338, + "_epoch": 21339, + "ubb": 21340, + "enth": 21341, + "Ġelite": 21342, + "Ġcampaigns": 21343, + "ĠPorno": 21344, + "_assign": 21345, + "Protocol": 21346, + "ĠBeing": 21347, + "ĠAirport": 21348, + "Ġconventional": 21349, + "ĠWat": 21350, + "ĠCI": 21351, + "ETA": 21352, + "ĠAnthony": 21353, + "Ġtablet": 21354, + "(format": 21355, + "Ġconsistently": 21356, + "ĠIowa": 21357, + "474": 21358, + "Ġavatar": 21359, + "027": 21360, + ".cursor": 21361, + "![": 21362, + "Ġhanging": 21363, + "Her": 21364, + "Such": 21365, + "';ĊĊĊ": 21366, + "orgeous": 21367, + "()==": 21368, + "ĠviewModel": 21369, + "Ġãĥ": 21370, + "Ġels": 21371, + "ĠAgent": 21372, + "Fetch": 21373, + "apor": 21374, + "Ġcx": 21375, + "pread": 21376, + "ĠPier": 21377, + "oeff": 21378, + "616": 21379, + "Sn": 21380, + "890": 21381, + "ĠVirtual": 21382, + "Apr": 21383, + ".White": 21384, + "615": 21385, + "_MOD": 21386, + "ĠPoints": 21387, + "失": 21388, + "Ġgenes": 21389, + "Ġvendor": 21390, + "Ġmainstream": 21391, + "Ċ": 21421, + "Filename": 21422, + "Ġsne": 21423, + "ĠFootball": 21424, + "Ġrival": 21425, + "Ġdisaster": 21426, + "ionic": 21427, + "ĠDamage": 21428, + ".Resource": 21429, + "-en": 21430, + "ĠTypes": 21431, + "getString": 21432, + "(board": 21433, + "Ġbol": 21434, + "plain": 21435, + "zym": 21436, + "า": 21437, + "Ġscanner": 21438, + "ilder": 21439, + "_msgs": 21440, + "æı": 21441, + "(intent": 21442, + "Ġdestruct": 21443, + "Ġbust": 21444, + "ĠEmploy": 21445, + "oni": 21446, + "ĠUIViewController": 21447, + "Ġodds": 21448, + "earer": 21449, + "Geometry": 21450, + "Ġyii": 21451, + "_EXPORT": 21452, + "ĠAttack": 21453, + "Ġniet": 21454, + "Ġimpression": 21455, + "ĠGil": 21456, + "_prob": 21457, + "528": 21458, + "ĠCF": 21459, + "ĠExperience": 21460, + "/plugins": 21461, + ".Method": 21462, + "Ġbeliefs": 21463, + "Native": 21464, + "_build": 21465, + "Ġvig": 21466, + "Ġranks": 21467, + "covered": 21468, + "705": 21469, + "such": 21470, + "Guard": 21471, + ".pack": 21472, + "adder": 21473, + "809": 21474, + "ivia": 21475, + "lng": 21476, + "ĠвÑĭ": 21477, + "552": 21478, + "Timestamp": 21479, + "_now": 21480, + "Ġpoker": 21481, + "Ġunc": 21482, + "Ġshapes": 21483, + "-types": 21484, + "_period": 21485, + "pk": 21486, + "Ġveteran": 21487, + "Ġsono": 21488, + "Ġappointed": 21489, + "overflow": 21490, + ".driver": 21491, + "_cat": 21492, + "utt": 21493, + "plant": 21494, + "imb": 21495, + "ĠAccept": 21496, + "Ġconcert": 21497, + "ĉnode": 21498, + "ĉz": 21499, + "?>čĊ": 21500, + "Ġbanned": 21501, + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 21502, + "Ġtoxic": 21503, + "Ġdisappe": 21504, + "473": 21505, + "ÈĽ": 21506, + "Ġgrace": 21507, + "ateful": 21508, + "Reply": 21509, + "ĠCruz": 21510, + "486": 21511, + "Ġscrap": 21512, + "Ġkeywords": 21513, + "simp": 21514, + "Ġmortgage": 21515, + "Ġcyber": 21516, + "ĠExecute": 21517, + "Ġlatitude": 21518, + "ifu": 21519, + ".COM": 21520, + "dbo": 21521, + "Ġsorts": 21522, + "ĠGas": 21523, + "omial": 21524, + ".Local": 21525, + "Cells": 21526, + ".Replace": 21527, + "Strings": 21528, + ".fit": 21529, + "ĠThird": 21530, + "%\",Ċ": 21531, + "Ġ{}\".": 21532, + "ĠSony": 21533, + "Ġ[:": 21534, + "585": 21535, + "Ġfallen": 21536, + ".')Ċ": 21537, + "inh": 21538, + "ĠMC": 21539, + "Ġredis": 21540, + "Codes": 21541, + "Ġprofiles": 21542, + "hook": 21543, + "Reducer": 21544, + "_FUNC": 21545, + "Ġnavigate": 21546, + "strlen": 21547, + "Ġhorm": 21548, + "áŀ": 21549, + "ĠSR": 21550, + ".boot": 21551, + "Ġdigest": 21552, + "ĉheader": 21553, + ".findOne": 21554, + "æģ": 21555, + "DbType": 21556, + "nia": 21557, + "_merge": 21558, + "Ġdonne": 21559, + "/Getty": 21560, + "_CHAR": 21561, + "Ġbands": 21562, + ".URL": 21563, + "artial": 21564, + "Ġfreq": 21565, + "Ġsist": 21566, + "Ng": 21567, + "Ġrendering": 21568, + "\\Core": 21569, + "Widgets": 21570, + "ĠVA": 21571, + "Ġactivists": 21572, + "Ste": 21573, + "=_": 21574, + "alla": 21575, + "Stamp": 21576, + "Ġloads": 21577, + "Ġxx": 21578, + "ĠLearning": 21579, + ".Mvc": 21580, + "uir": 21581, + "(\"$": 21582, + "Ġconnecting": 21583, + "ReadOnly": 21584, + "uru": 21585, + "ĠEag": 21586, + "BIT": 21587, + "_DEL": 21588, + "å§": 21589, + "arrass": 21590, + "external": 21591, + "ĠYOUR": 21592, + "ĠBrew": 21593, + "ĠFive": 21594, + "Ġresize": 21595, + "igid": 21596, + "eration": 21597, + "653": 21598, + "ĠÑį": 21599, + "536": 21600, + "åĬł": 21601, + "039": 21602, + "ĠCatch": 21603, + "Ùģ": 21604, + "ĠLeon": 21605, + "amil": 21606, + ".Body": 21607, + "Clip": 21608, + "/list": 21609, + ".br": 21610, + "EditText": 21611, + "ĉdb": 21612, + ".Game": 21613, + "(BuildContext": 21614, + "backend": 21615, + ".Red": 21616, + "facebook": 21617, + "529": 21618, + ".urls": 21619, + "mr": 21620, + "rolled": 21621, + "-------": 21622, + "Ġintervention": 21623, + "Ġretirement": 21624, + "ĠKit": 21625, + "ĠPRE": 21626, + "UpperCase": 21627, + "ĠSocket": 21628, + "Ġ:-": 21629, + "Ġstudying": 21630, + "ĠMetro": 21631, + "arded": 21632, + "Ġconversations": 21633, + "Called": 21634, + "Ġexamine": 21635, + "ertificate": 21636, + ".gz": 21637, + "-responsive": 21638, + "Ġrefund": 21639, + "_network": 21640, + "026": 21641, + "allowed": 21642, + "empt": 21643, + "Ġmeals": 21644, + "Categories": 21645, + "Ġtraveling": 21646, + "Ġkg": 21647, + "Ġshame": 21648, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 21649, + "Ġexplicitly": 21650, + "Ġmathematic": 21651, + "ĠSuite": 21652, + "ĠRGB": 21653, + "******/": 21654, + "Ġmixture": 21655, + "learning": 21656, + ".template": 21657, + "atts": 21658, + "wx": 21659, + "ĉctx": 21660, + ".properties": 21661, + "Ġdrinks": 21662, + "ĠEither": 21663, + "setText": 21664, + ".getData": 21665, + ".zip": 21666, + "Ġreveals": 21667, + ".Ċ": 21681, + "Ġranked": 21682, + "_impl": 21683, + "ĠHandles": 21684, + "Ġhosted": 21685, + "Ġupdating": 21686, + "album": 21687, + "éĿ": 21688, + "Ġshader": 21689, + "Editors": 21690, + "-round": 21691, + "[]{": 21692, + "Ġsep": 21693, + "ĠHi": 21694, + "TEM": 21695, + "lookup": 21696, + ".man": 21697, + "_INPUT": 21698, + "Ġthreatened": 21699, + "_IMPORT": 21700, + "Ġdrops": 21701, + "ruit": 21702, + "sid": 21703, + "both": 21704, + "ĠExcel": 21705, + "Ġjer": 21706, + "ordinary": 21707, + "ей": 21708, + "VIEW": 21709, + "reply": 21710, + "Ġ):Ċ": 21711, + "colors": 21712, + "verified": 21713, + "_Tr": 21714, + "_parse": 21715, + "Ġcongress": 21716, + "617": 21717, + "Promise": 21718, + "ints": 21719, + "ĠMother": 21720, + ".Api": 21721, + "ĠDuration": 21722, + "ĠfirstName": 21723, + "inheritdoc": 21724, + "ĠMars": 21725, + "Ġapr": 21726, + "ODY": 21727, + "Ġvisits": 21728, + "631": 21729, + "Ġhealing": 21730, + "letters": 21731, + ")));čĊ": 21732, + "future": 21733, + ".Framework": 21734, + "Ġkiss": 21735, + "Ġinvolve": 21736, + "Ġsilent": 21737, + "adows": 21738, + "Ġanybody": 21739, + "sch": 21740, + "690": 21741, + "Ġsolely": 21742, + "-img": 21743, + "Ġpropri": 21744, + "Ġinstruct": 21745, + "Ġlicenses": 21746, + "Ġmeth": 21747, + "Ġcondem": 21748, + "ĠDomain": 21749, + "ĠHarris": 21750, + "ĠsÃ¥": 21751, + "CEPT": 21752, + "Batch": 21753, + "@extends": 21754, + "ĠCONTRIBUT": 21755, + ".DataFrame": 21756, + "472": 21757, + "_packet": 21758, + "recision": 21759, + "Ġfocusing": 21760, + ".ht": 21761, + "__\":Ċ": 21762, + ":Get": 21763, + "ĠKC": 21764, + "Ġpassage": 21765, + "Segment": 21766, + "_center": 21767, + "-zA": 21768, + "_BL": 21769, + "Ġconvin": 21770, + "Ġclassified": 21771, + "ĠNSMutable": 21772, + "_ap": 21773, + "tile": 21774, + "Rectangle": 21775, + "492": 21776, + "(nums": 21777, + "vens": 21778, + "ĠUIButton": 21779, + "ĠFeder": 21780, + "amo": 21781, + "Ġoutline": 21782, + "ĠParser": 21783, + "Ġâī": 21784, + "ĠWorks": 21785, + ".Schema": 21786, + "Ġengines": 21787, + "637": 21788, + "563": 21789, + "_common": 21790, + "542": 21791, + "_old": 21792, + "ĠsetContentView": 21793, + "Ġ///<": 21794, + "ĠBT": 21795, + "fm": 21796, + "Ġdivers": 21797, + "_weights": 21798, + "emark": 21799, + "ĠACT": 21800, + "Ġproportion": 21801, + "overlay": 21802, + ".dirname": 21803, + "ĠGit": 21804, + "_REFERENCE": 21805, + "<>": 21806, + "lb": 21807, + "_rule": 21808, + "è´¥": 21809, + "ĠPutin": 21810, + "Ġsleeping": 21811, + "():čĊ": 21812, + "Ġpreserve": 21813, + "Ġparliament": 21814, + "ĠLooking": 21815, + "Ġpicking": 21816, + "ĠDispatch": 21817, + "Ġslip": 21818, + "ëĵ": 21819, + "ĠLyn": 21820, + "_signal": 21821, + "configuration": 21822, + "ĠPitt": 21823, + "491": 21824, + "aden": 21825, + "procedure": 21826, + "Ġenthusi": 21827, + "fight": 21828, + "ĠConsider": 21829, + "Ġtorn": 21830, + "Connected": 21831, + ".cos": 21832, + "_groups": 21833, + "ĠThink": 21834, + "Ġdeliber": 21835, + "Ġresid": 21836, + "working": 21837, + ".columns": 21838, + "ĠCalled": 21839, + "Ġeslint": 21840, + ">\",": 21841, + "_DOWN": 21842, + "hist": 21843, + "ĠAdvanced": 21844, + "Ġrewards": 21845, + "actors": 21846, + "Ġsilence": 21847, + "479": 21848, + "Ġmyth": 21849, + "Ġneur": 21850, + "519": 21851, + "Ġauction": 21852, + ".GetString": 21853, + "eks": 21854, + "(project": 21855, + "598": 21856, + "ĉmsg": 21857, + "ĉoutput": 21858, + "Ġcomplaints": 21859, + "551": 21860, + ",S": 21861, + "Ġtbl": 21862, + "Ġ,ĊĊ": 21863, + "riors": 21864, + "ahren": 21865, + "Ġlawyers": 21866, + "redux": 21867, + "_symbol": 21868, + "offee": 21869, + "_RESULT": 21870, + "(Name": 21871, + "UTC": 21872, + ".currentTime": 21873, + "Ġorganis": 21874, + ".arg": 21875, + "533": 21876, + "Ġminim": 21877, + "wick": 21878, + "Ġreceives": 21879, + "Balance": 21880, + "Ġspeaks": 21881, + "ĠDays": 21882, + "ĠBelow": 21883, + "483": 21884, + "tipo": 21885, + "Present": 21886, + "Ġreserv": 21887, + "hp": 21888, + "Ġrit": 21889, + "_RIGHT": 21890, + "--)": 21891, + "Ġchairman": 21892, + "781": 21893, + "DIS": 21894, + "ĠBOOST": 21895, + "Ġexperiments": 21896, + "687": 21897, + "__);Ċ": 21898, + "Ġstamp": 21899, + "Ġfert": 21900, + "Ġfond": 21901, + "Ter": 21902, + "elve": 21903, + "uren": 21904, + "+i": 21905, + "endency": 21906, + "Ġvirtually": 21907, + "...\"": 21908, + "ï½ŀ": 21909, + "925": 21910, + "-cent": 21911, + "_unique": 21912, + "Ġpricing": 21913, + "mic": 21914, + "RESH": 21915, + "Ġ:::": 21916, + "Ġannotation": 21917, + "ĠCircle": 21918, + "ongodb": 21919, + "itas": 21920, + "Ġ%(": 21921, + "(component": 21922, + "Ġоб": 21923, + "(port": 21924, + "-hour": 21925, + ".obj": 21926, + "LBL": 21927, + "Ġjury": 21928, + "GBT": 21929, + "Ġspy": 21930, + "ĠProfessional": 21931, + "Ġ\"\";ĊĊ": 21932, + "Ġstriking": 21933, + "Ġdiscrimination": 21934, + "Ġpays": 21935, + "937": 21936, + "lict": 21937, + "entes": 21938, + "Ġthrowing": 21939, + "ĠPlugin": 21940, + "(def": 21941, + "ĠRuntimeException": 21942, + "ĠMigration": 21943, + "599": 21944, + "Ġdic": 21945, + "bag": 21946, + "onia": 21947, + "Ġcorruption": 21948, + "704": 21949, + "(Map": 21950, + "Ġprz": 21951, + ".dto": 21952, + "Ġacquire": 21953, + "StateToProps": 21954, + "Ġloving": 21955, + "ож": 21956, + "_pattern": 21957, + "Ġemotions": 21958, + "Ġpublisher": 21959, + "_be": 21960, + "Ġcouples": 21961, + "498": 21962, + "oj": 21963, + "ĠChart": 21964, + "Ġtrop": 21965, + ".tool": 21966, + "Ġestablishment": 21967, + "Ġdol": 21968, + "654": 21969, + "Ġtower": 21970, + "Ġlane": 21971, + "ĠSydney": 21972, + "Ġfilling": 21973, + "claimed": 21974, + "644": 21975, + "Ġdialogue": 21976, + "Ġconvention": 21977, + "booking": 21978, + "parency": 21979, + "æ±": 21980, + "ĠGeneric": 21981, + "718": 21982, + "\\Schema": 21983, + "482": 21984, + "618": 21985, + "Ġranges": 21986, + "/ch": 21987, + "Ġpanels": 21988, + "Ġruled": 21989, + "çĶŁ": 21990, + ".ts": 21991, + "_sets": 21992, + "Ġcleanup": 21993, + "Previous": 21994, + "ĠAnimal": 21995, + "607": 21996, + "($(": 21997, + "ĠAve": 21998, + "ollar": 21999, + "028": 22000, + "_eval": 22001, + "ĉName": 22002, + "(tree": 22003, + "Ġ\"]": 22004, + "571": 22005, + "Ġduties": 22006, + "='/": 22007, + "Clicked": 22008, + "Ġdifferently": 22009, + "ĠClark": 22010, + "Ġdit": 22011, + "ologists": 22012, + "Ġsynd": 22013, + "Ġsends": 22014, + "-known": 22015, + "kb": 22016, + "ĠModal": 22017, + "itative": 22018, + "Ġracing": 22019, + "Ġhighlights": 22020, + "ĠSimon": 22021, + "ĠCaptain": 22022, + "ä¿¡": 22023, + "ĠCB": 22024, + "contin": 22025, + "aran": 22026, + "Ġphysics": 22027, + "retty": 22028, + "etal": 22029, + ".md": 22030, + "axios": 22031, + "Ġspeakers": 22032, + "Ġprep": 22033, + "Ġawarded": 22034, + "ì§Ģ": 22035, + "ĠCorn": 22036, + "ĠNature": 22037, + "UDIO": 22038, + "737": 22039, + "Ġproj": 22040, + "-pre": 22041, + "[u": 22042, + "Features": 22043, + "ĠisEqual": 22044, + "Binary": 22045, + "sig": 22046, + "Ġconfusion": 22047, + "546": 22048, + "568": 22049, + "ĠHat": 22050, + "Ġktó": 22051, + ".configure": 22052, + "MON": 22053, + "494": 22054, + "/edit": 22055, + "_Add": 22056, + ",true": 22057, + "541": 22058, + "Ġcli": 22059, + "ErrorMessage": 22060, + "-loader": 22061, + "Dimensions": 22062, + "ultiply": 22063, + "Ġ{!!": 22064, + "ĠSqlCommand": 22065, + "Ġspoken": 22066, + "Ġpics": 22067, + "Ġtoy": 22068, + "(Key": 22069, + "ĠLoop": 22070, + "ب": 22071, + "EATURE": 22072, + "inction": 22073, + "_setup": 22074, + "wrapper": 22075, + "Ġtong": 22076, + "cular": 22077, + "Opt": 22078, + ".Pl": 22079, + "=\",": 22080, + "(length": 22081, + "umn": 22082, + "Ġchrom": 22083, + "Ġsevent": 22084, + "ĠIllegalArgumentException": 22085, + "478": 22086, + "ĉstart": 22087, + "Ġbegun": 22088, + "CEPTION": 22089, + "dataset": 22090, + "825": 22091, + "ĠFailed": 22092, + "cols": 22093, + "459": 22094, + "Ġknee": 22095, + "imore": 22096, + ".splice": 22097, + "shell": 22098, + "iggers": 22099, + "Ġthemes": 22100, + "995": 22101, + "ĠDJ": 22102, + "ĠAssistant": 22103, + "-$": 22104, + "Maybe": 22105, + "Ġordering": 22106, + "ĠIntelligence": 22107, + "ĠMassachusetts": 22108, + "Ġfailing": 22109, + "elson": 22110, + "Great": 22111, + "=i": 22112, + ".rest": 22113, + "Ġinvite": 22114, + "-disable": 22115, + ".GroupBox": 22116, + "âĢĻest": 22117, + "Ġtackle": 22118, + "gv": 22119, + "etter": 22120, + "Ġ),čĊ": 22121, + "_rules": 22122, + ".warn": 22123, + "functions": 22124, + "ĠChristians": 22125, + "Ġbacked": 22126, + "Ġslider": 22127, + "Ġenjoying": 22128, + "nest": 22129, + "Ġhij": 22130, + "_ms": 22131, + "//*": 22132, + "Annotations": 22133, + "ĠVariables": 22134, + "": 22351, + "cycle": 22352, + "ĠBull": 22353, + "paths": 22354, + "Ġunp": 22355, + "ĠviewDidLoad": 22356, + "_Model": 22357, + "ĠassertTrue": 22358, + "Ġrated": 22359, + "Decl": 22360, + "verted": 22361, + "ĠDat": 22362, + "brew": 22363, + "Ġpointing": 22364, + "Ms": 22365, + "ĠPointer": 22366, + ")'": 22367, + "_non": 22368, + "527": 22369, + "ĠSEC": 22370, + "Ġyeah": 22371, + "gency": 22372, + "initialize": 22373, + "fly": 22374, + "711": 22375, + "[pos": 22376, + ",g": 22377, + "Tele": 22378, + "034": 22379, + "Ġjoke": 22380, + "Ġclause": 22381, + ".findById": 22382, + "enes": 22383, + "(instance": 22384, + "626": 22385, + "£": 22386, + "915": 22387, + "Ġslic": 22388, + "_home": 22389, + "Ġ*/}Ċ": 22390, + "_pages": 22391, + "(service": 22392, + "905": 22393, + "RP": 22394, + "ĠAmong": 22395, + ".getCurrent": 22396, + "806": 22397, + "ãĤ¹": 22398, + "Ġslee": 22399, + "=[Ċ": 22846, + "oler": 22847, + "Ġlibert": 22848, + "Ġ`Ċ": 22849, + "Ġwenn": 22850, + "lated": 22851, + "Ġimmune": 22852, + "(Node": 22853, + "ĠProblem": 22854, + "ĠAbs": 22855, + "logs": 22856, + "Ġ../": 22857, + "ĠADC": 22858, + "Ġ}}\">Ċ": 22859, + ">');Ċ": 22860, + "=b": 22861, + "ĠWind": 22862, + "lahoma": 22863, + "Ġallocate": 22864, + "orian": 22865, + "Ġprescription": 22866, + "-quality": 22867, + "ĠMayor": 22868, + "855": 22869, + "inely": 22870, + "endforeach": 22871, + "ĠComplex": 22872, + "kom": 22873, + "709": 22874, + "TY": 22875, + "790": 22876, + "]].": 22877, + ".Style": 22878, + "_many": 22879, + "','$": 22880, + "Ġbarrier": 22881, + "ĠFetch": 22882, + "ĠMarvel": 22883, + "Ġresist": 22884, + "ого": 22885, + "bidden": 22886, + "ĠRunnable": 22887, + ":false": 22888, + "899": 22889, + "Ġbuilds": 22890, + "ĠStage": 22891, + "Ġdub": 22892, + "empo": 22893, + ".site": 22894, + "558": 22895, + ";ĊĊĊĊ": 22896, + "994": 22897, + "ĠDenver": 22898, + "Ġrevel": 22899, + "Ġtriggered": 22900, + "Ġdice": 22901, + "_fail": 22902, + "Ġgc": 22903, + "833": 22904, + "589": 22905, + "ĉX": 22906, + "ĠThrowable": 22907, + "775": 22908, + ".router": 22909, + "ĠRevolution": 22910, + "ÑĢа": 22911, + "_NON": 22912, + "055": 22913, + "Ł¥": 22914, + "578": 22915, + "Ġelder": 22916, + "Ġabroad": 22917, + "Ġе": 22918, + "ĠAdult": 22919, + "blr": 22920, + "glyphicon": 22921, + "613": 22922, + "Ġpromoting": 22923, + "Ġiz": 22924, + "ĠSolid": 22925, + "645": 22926, + "_loader": 22927, + "early": 22928, + ".enabled": 22929, + "-edit": 22930, + "ĠUL": 22931, + "_play": 22932, + "ĠInterrupt": 22933, + "Ġadvantages": 22934, + "ucle": 22935, + "Ġmechanical": 22936, + ".tableLayoutPanel": 22937, + "ĠWorking": 22938, + "Ġanonymous": 22939, + "Rating": 22940, + "igious": 22941, + "_phone": 22942, + ".addActionListener": 22943, + "Ġfran": 22944, + "unden": 22945, + "Ġ*)&": 22946, + "_bool": 22947, + "ulative": 22948, + "Ġcone": 22949, + "ĠMult": 22950, + "Ġmö": 22951, + "ĠForward": 22952, + "]):Ċ": 22953, + "Ġconvinced": 22954, + "acted": 22955, + "643": 22956, + "ãģĵ": 22957, + "ĠConfigure": 22958, + "Ġceiling": 22959, + "Der": 22960, + "Ġpassengers": 22961, + "Groups": 22962, + "Ġsoccer": 22963, + "/W": 22964, + "aviors": 22965, + "swith": 22966, + "ĠZone": 22967, + ".Options": 22968, + "ĠMom": 22969, + "ieder": 22970, + "Arrays": 22971, + "Ġtreatments": 22972, + "Ġprotecting": 22973, + "fac": 22974, + "Ġpickle": 22975, + "ButtonItem": 22976, + "713": 22977, + "Ġblocking": 22978, + "strar": 22979, + "ò": 22980, + "ĠExport": 22981, + "Ġthrew": 22982, + "otta": 22983, + "ĠBASE": 22984, + ".ws": 22985, + ".LEADING": 22986, + "orderBy": 22987, + "_delay": 22988, + "ĠPu": 22989, + ".dll": 22990, + "ĠChoose": 22991, + "992": 22992, + "Police": 22993, + "ĠBEGIN": 22994, + "boxes": 22995, + "Ġdiamond": 22996, + ",l": 22997, + "Ġĉĉĉ": 22998, + "Ġcurious": 22999, + "624": 23000, + "tv": 23001, + "Ġerotische": 23002, + "ackages": 23003, + "ĉSet": 23004, + "Tick": 23005, + ".border": 23006, + "staticmethod": 23007, + "Ġcher": 23008, + "invoice": 23009, + "Ġcru": 23010, + "Ġdefect": 23011, + "_metadata": 23012, + "relation": 23013, + "ikan": 23014, + "[N": 23015, + "(Qt": 23016, + "(Base": 23017, + "æģ¯": 23018, + "beat": 23019, + "ĠEmpty": 23020, + "ĉo": 23021, + "_shift": 23022, + "Ġregret": 23023, + "722": 23024, + "Those": 23025, + "Cent": 23026, + "ĠPortug": 23027, + "ĠIslands": 23028, + "ĠTIME": 23029, + "Management": 23030, + "996": 23031, + "-sp": 23032, + "539": 23033, + "ême": 23034, + "Ġnotion": 23035, + "unifu": 23036, + "PK": 23037, + "826": 23038, + "è¡Į": 23039, + "ĠCURLOPT": 23040, + "\\\"\\": 23041, + "UV": 23042, + "çº": 23043, + "dra": 23044, + "cou": 23045, + "=`": 23046, + "ĠDestroy": 23047, + "rp": 23048, + ".cancel": 23049, + "GG": 23050, + "runtime": 23051, + "ĠVue": 23052, + "Ġprogressive": 23053, + "/services": 23054, + "Ġrunner": 23055, + "_FRAME": 23056, + ".ToolStripMenuItem": 23057, + "Ġ','": 23058, + "delay": 23059, + "=utf": 23060, + "Ġscreening": 23061, + "Ġpulling": 23062, + "omas": 23063, + "Ġanth": 23064, + "-new": 23065, + "/local": 23066, + "ĠiPad": 23067, + "Ġtwitter": 23068, + "Ġdying": 23069, + "Ġheaven": 23070, + "ĠUInt": 23071, + "ĠSenator": 23072, + "Ġpresum": 23073, + "ĠWalker": 23074, + "Ġovercome": 23075, + "etection": 23076, + "Ġembarrass": 23077, + "China": 23078, + "639": 23079, + "Include": 23080, + "ROLL": 23081, + "ĠdataType": 23082, + "David": 23083, + "ร": 23084, + "lop": 23085, + "-month": 23086, + "Ġscar": 23087, + "ĠSafe": 23088, + "Ġ****************************************************************": 23089, + "Ġaccessories": 23090, + "Ġramp": 23091, + "_USE": 23092, + "Ġcontrad": 23093, + "))]Ċ": 23094, + "Ġprest": 23095, + "ĠHR": 23096, + "ĠRap": 23097, + "Ġusize": 23098, + "Ġcapability": 23099, + "Ġcort": 23100, + "-next": 23101, + "077": 23102, + "627": 23103, + "Ġburden": 23104, + "822": 23105, + "_reader": 23106, + "Ġ@@": 23107, + "regular": 23108, + "ĠKa": 23109, + "036": 23110, + "MAN": 23111, + "Ġastr": 23112, + "Ġ'')Ċ": 23113, + "Ġfed": 23114, + "Ġparsing": 23115, + "ĠYears": 23116, + "Ġbroker": 23117, + "\":{\"": 23118, + "Ġakt": 23119, + "Inventory": 23120, + "abeled": 23121, + "Ġargparse": 23122, + "*******Ċ": 23123, + "versation": 23124, + "Ġcord": 23125, + "ĠTi": 23126, + "Ġhopefully": 23127, + "Ġah": 23128, + "verb": 23129, + "Ġstolen": 23130, + ".Entry": 23131, + "Ġexpecting": 23132, + "Orientation": 23133, + "Ġpowered": 23134, + "Ġpersist": 23135, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 23136, + "']);": 23137, + "')),Ċ": 23138, + "ĠCash": 23139, + "ĉitem": 23140, + "818": 23141, + "grades": 23142, + "ropol": 23143, + "basic": 23144, + "Ġ\");čĊ": 23145, + "Ġawards": 23146, + "(range": 23147, + "-all": 23148, + "ĠIBOutlet": 23149, + "ĠIndeed": 23150, + "----------------------------------------------------------------------------": 23151, + "Ġstomach": 23152, + "Ġflower": 23153, + "Ġsew": 23154, + "_times": 23155, + "avis": 23156, + "QString": 23157, + "ĠRoutes": 23158, + "_prot": 23159, + "Ġcomedy": 23160, + "Ġlogout": 23161, + "Ġwooden": 23162, + "Ġposter": 23163, + "piece": 23164, + ".Join": 23165, + "ĠPok": 23166, + "celona": 23167, + "mutex": 23168, + ";čĊčĊčĊ": 23169, + "Ġstrikes": 23170, + "787": 23171, + "Loaded": 23172, + ")arg": 23173, + "esa": 23174, + "United": 23175, + "Ep": 23176, + "PELL": 23177, + "807": 23178, + "ĠAtlantic": 23179, + "ullet": 23180, + "652": 23181, + "apple": 23182, + "Ġsettled": 23183, + "acon": 23184, + "Ġprinter": 23185, + "ĠGC": 23186, + "å®ļ": 23187, + "Ġrendered": 23188, + ",âĢĻ": 23189, + "heit": 23190, + "social": 23191, + ".ge": 23192, + "714": 23193, + "ĠRick": 23194, + "ĠUtah": 23195, + "got": 23196, + "onical": 23197, + "ĠScroll": 23198, + "ĠSciences": 23199, + "Ġjug": 23200, + "Ġampl": 23201, + "enti": 23202, + "LEFT": 23203, + "Ġtabs": 23204, + "Ġenormous": 23205, + ".getKey": 23206, + "locate": 23207, + ".EX": 23208, + ".storage": 23209, + ".We": 23210, + "Ġtoast": 23211, + "ĠAdditionally": 23212, + "882": 23213, + "ĠNOW": 23214, + "547": 23215, + "_UPDATE": 23216, + "Ġtransferred": 23217, + "tha": 23218, + ".Display": 23219, + "_ui": 23220, + "IDEO": 23221, + "Ġmeaningful": 23222, + "ĠMoscow": 23223, + ",this": 23224, + "ĠVictoria": 23225, + "æĶ¹": 23226, + "ĠÐŁ": 23227, + ".stack": 23228, + "ĠBarn": 23229, + "paredStatement": 23230, + ":string": 23231, + "Ġbij": 23232, + "ĠSTATE": 23233, + "Ġemployers": 23234, + "ĉinput": 23235, + "(|": 23236, + "Ġlex": 23237, + "invoke": 23238, + "ĉnum": 23239, + "++,": 23240, + "atial": 23241, + "orses": 23242, + "Ġfork": 23243, + "_txt": 23244, + "ĠAntonio": 23245, + "Ġ(<": 23246, + "averse": 23247, + "Ġdevast": 23248, + "ãĢĢ": 23249, + ".Dec": 23250, + "ĠGard": 23251, + "/ui": 23252, + ".%": 23253, + "tri": 23254, + "Ġrolled": 23255, + "ValuePair": 23256, + "itten": 23257, + "ĠTher": 23258, + "Ġvrou": 23259, + "ĠFlow": 23260, + "ĠFinance": 23261, + "ĠComb": 23262, + "HC": 23263, + ".setVisible": 23264, + "isl": 23265, + "Ġpk": 23266, + "773": 23267, + "Ġupset": 23268, + "(raw": 23269, + "ĠVice": 23270, + "eatures": 23271, + "ĠLang": 23272, + "029": 23273, + "Looking": 23274, + "767": 23275, + "ĠAST": 23276, + "Ġtrips": 23277, + "ĠJustin": 23278, + "browser": 23279, + "=\"'.$": 23280, + ".vertices": 23281, + "821": 23282, + "-co": 23283, + "}/{": 23284, + "Ġ?,": 23285, + "ĠDomin": 23286, + "ĠBelg": 23287, + "\"<": 23288, + "Ġsuppose": 23289, + "addy": 23290, + "Ġwalks": 23291, + "688": 23292, + "ERRU": 23293, + "_filters": 23294, + "Preferred": 23295, + "scene": 23296, + "еÑģ": 23297, + "ĠAffairs": 23298, + "Ġ\"#{": 23299, + "ĠonSubmit": 23300, + "Ġstocks": 23301, + "/view": 23302, + "gree": 23303, + "-get": 23304, + "903": 23305, + "hit": 23306, + "Jo": 23307, + ".getC": 23308, + "725": 23309, + "Initialized": 23310, + "ÑĤи": 23311, + "cuts": 23312, + "(Type": 23313, + "ĠAgreement": 23314, + "ĠVietnam": 23315, + "Ġ/*!": 23316, + "Ġpizza": 23317, + "-view": 23318, + "_em": 23319, + "Ġlhs": 23320, + "Ġmuy": 23321, + "ĠIdent": 23322, + "ĠFriends": 23323, + "061": 23324, + "Ġabund": 23325, + "_AD": 23326, + ".timestamp": 23327, + "-'": 23328, + "Ġduplicate": 23329, + "Ġhunting": 23330, + "Ġregulatory": 23331, + "iao": 23332, + "amous": 23333, + "ĠEntertainment": 23334, + "[A": 23335, + "iatric": 23336, + "_CLIENT": 23337, + "ĠKids": 23338, + "/pkg": 23339, + "Break": 23340, + ")));ĊĊ": 23341, + "ĠShape": 23342, + "Ġrelating": 23343, + "Interrupt": 23344, + "ableOpacity": 23345, + "embre": 23346, + "Ġmystery": 23347, + "Ġjournalists": 23348, + "ritable": 23349, + ".Link": 23350, + "Ġstopping": 23351, + "CRET": 23352, + ".DB": 23353, + "Ġpopularity": 23354, + "Ġgew": 23355, + "Ġimpr": 23356, + "setValue": 23357, + "FLAG": 23358, + "ĉmax": 23359, + "Ġbake": 23360, + "wy": 23361, + "ĠEconomic": 23362, + "Ġencontr": 23363, + "Ġfname": 23364, + "/de": 23365, + "Rank": 23366, + "Ġbugs": 23367, + ".sm": 23368, + "Ġmedian": 23369, + "DOWN": 23370, + "ĠSure": 23371, + "AtIndex": 23372, + "ĠDick": 23373, + "Ġ(__": 23374, + ".delta": 23375, + "Fr": 23376, + "Ġsuggesting": 23377, + "ĠRecyclerView": 23378, + ",e": 23379, + "START": 23380, + "/****************************************************************************": 23381, + "xford": 23382, + "Ġreceipt": 23383, + "CLAIM": 23384, + "readonly": 23385, + "968": 23386, + "Ġengaging": 23387, + "619": 23388, + "Ca": 23389, + "asma": 23390, + "Ġensuring": 23391, + "English": 23392, + "ĠVancouver": 23393, + "hyth": 23394, + "Ġpurchasing": 23395, + "ĠPI": 23396, + ".word": 23397, + "(sp": 23398, + ".home": 23399, + ":def": 23400, + "Ġgig": 23401, + "574": 23402, + "671": 23403, + "ĠVe": 23404, + "forum": 23405, + "ĠMitch": 23406, + "Bay": 23407, + "_FL": 23408, + "651": 23409, + "Ġsoll": 23410, + "577": 23411, + "_columns": 23412, + "Ġminority": 23413, + "bird": 23414, + "Ġhanded": 23415, + "SSL": 23416, + "STAT": 23417, + "Ġnervous": 23418, + "ĥ½": 23419, + "ĠfilePath": 23420, + "CREATE": 23421, + "Aw": 23422, + "Ġpens": 23423, + "835": 23424, + "seed": 23425, + "ĠCompute": 23426, + "olk": 23427, + "594": 23428, + "ĠAsset": 23429, + "reach": 23430, + "'),čĊ": 23431, + "navigation": 23432, + "LF": 23433, + "/util": 23434, + "ĠPub": 23435, + "ĠâĶ": 23436, + "cion": 23437, + "##Ċ": 23438, + "072": 23439, + "III": 23440, + "TagName": 23441, + "Ġamid": 23442, + "permission": 23443, + "ifiable": 23444, + "xFFFFFFFF": 23445, + "ни": 23446, + ".Buffer": 23447, + "_irq": 23448, + "dark": 23449, + "Ġretval": 23450, + ".fire": 23451, + "production": 23452, + ".listen": 23453, + "ĠWeather": 23454, + "Ġbuyers": 23455, + ".ne": 23456, + "erp": 23457, + "ĠPent": 23458, + "699": 23459, + "Ġwelfare": 23460, + "ĠpageSize": 23461, + "ĠStadium": 23462, + "erta": 23463, + "Ġlev": 23464, + "ampa": 23465, + "Pager": 23466, + "665": 23467, + "Ġcharging": 23468, + "ĠNetflix": 23469, + "|null": 23470, + "_random": 23471, + ".xpath": 23472, + "Ġstere": 23473, + "ĠISIS": 23474, + "ponses": 23475, + "(loc": 23476, + "566": 23477, + "eyond": 23478, + "ĠOfficial": 23479, + "657": 23480, + "ĠMaryland": 23481, + "DataType": 23482, + "_par": 23483, + "{},": 23484, + "ĠEnjoy": 23485, + "727": 23486, + "_SHIFT": 23487, + "ĠAwards": 23488, + "_ENTRY": 23489, + "Ġseemingly": 23490, + "enticate": 23491, + "Ġhearts": 23492, + "583": 23493, + "_;ĊĊ": 23494, + "ĠHIV": 23495, + "Ġindivid": 23496, + "ĠFlag": 23497, + "_ctrl": 23498, + "ĠCallback": 23499, + ",z": 23500, + "ĠGPU": 23501, + "ĉobj": 23502, + "ĠPhoenix": 23503, + "ĠBUS": 23504, + "907": 23505, + "Ġrubber": 23506, + "_AUTH": 23507, + "ĠSolutions": 23508, + "(location": 23509, + "Variables": 23510, + ".setEnabled": 23511, + "_high": 23512, + "WO": 23513, + "Gesture": 23514, + "Ġretry": 23515, + "ĠobjectForKey": 23516, + "alloween": 23517, + "Ġmos": 23518, + "ĠCele": 23519, + "Ġikke": 23520, + "(cell": 23521, + "ĠMODE": 23522, + "rena": 23523, + "Ġdescribing": 23524, + "641": 23525, + "Ġphi": 23526, + "Ġrd": 23527, + "Ġdeserve": 23528, + "Ġwheels": 23529, + "å¸Ĥ": 23530, + "Ġcritics": 23531, + "755": 23532, + "Namespace": 23533, + "ĠFra": 23534, + "ĠĊĊĊĊ": 23535, + "Ġalla": 23536, + "Ġrequiring": 23537, + "æľŁ": 23538, + "utation": 23539, + "Ġdelayed": 23540, + "Ġadministrative": 23541, + "Ġbay": 23542, + ".hidden": 23543, + "Tex": 23544, + "051": 23545, + "Ġboundaries": 23546, + "Ġ]);ĊĊ": 23547, + "ĠFollowing": 23548, + "~/": 23549, + "Fi": 23550, + "_conv": 23551, + "_TITLE": 23552, + "Ġdesde": 23553, + "ICollectionView": 23554, + "Alias": 23555, + "Ġbite": 23556, + "patient": 23557, + "_COMMAND": 23558, + "Completed": 23559, + "ĉelif": 23560, + "(<": 23561, + "Business": 23562, + "ĠPool": 23563, + "Ġpursue": 23564, + "ĠBan": 23565, + "_steps": 23566, + "_DECL": 23567, + "umble": 23568, + "Ġcombo": 23569, + "ĠLayer": 23570, + ".xr": 23571, + "Ġdup": 23572, + "---------": 23573, + "628": 23574, + "Ġmodifier": 23575, + "rob": 23576, + "rez": 23577, + "696": 23578, + "Ġathletes": 23579, + "Used": 23580, + "wear": 23581, + "815": 23582, + "Ġlegitimate": 23583, + "Ġ\"ĊĊ": 23584, + "Ġhv": 23585, + "Std": 23586, + "037": 23587, + "ĠHold": 23588, + "Ġsurviv": 23589, + "ĠAlliance": 23590, + "ĠEarly": 23591, + "778": 23592, + "Behavior": 23593, + "(font": 23594, + "/libs": 23595, + "Ġrectangle": 23596, + "Ġsinger": 23597, + "Ġamp": 23598, + "EqualTo": 23599, + "Ġ\".\"": 23600, + "Ġgirlfriend": 23601, + "å±": 23602, + "linear": 23603, + "observ": 23604, + "Ġpiù": 23605, + "Ġcomplement": 23606, + "WithValue": 23607, + "(password": 23608, + "take": 23609, + "Blank": 23610, + "ĠCompar": 23611, + "'\",": 23612, + "_policy": 23613, + "mongoose": 23614, + "_FAILED": 23615, + ".report": 23616, + "Ratio": 23617, + ".PerformLayout": 23618, + "747": 23619, + "usable": 23620, + "mers": 23621, + "_render": 23622, + "PEED": 23623, + "772": 23624, + "Ġlesb": 23625, + "ĉE": 23626, + "_tool": 23627, + "Ġladies": 23628, + "908": 23629, + "оÑģ": 23630, + "))))Ċ": 23631, + ";;;;": 23632, + ".dot": 23633, + "Ġnest": 23634, + "peak": 23635, + "ukkit": 23636, + "eca": 23637, + "_SW": 23638, + "Ġ&(": 23639, + "ĠOklahoma": 23640, + "Ġbanking": 23641, + "569": 23642, + "ĠNintendo": 23643, + "752": 23644, + "Ġreproduce": 23645, + "_elements": 23646, + "_mac": 23647, + "proxy": 23648, + "Ġremarkable": 23649, + "}/${": 23650, + "Ġouts": 23651, + ".hasNext": 23652, + "MODE": 23653, + "658": 23654, + "Ġanime": 23655, + ".conn": 23656, + "Unique": 23657, + "Dom": 23658, + "Ġimportantly": 23659, + "itty": 23660, + "Ġjuice": 23661, + "Tw": 23662, + "ĠPartners": 23663, + "Ġattacking": 23664, + "Ġportable": 23665, + "amiento": 23666, + ".PictureBox": 23667, + ".gen": 23668, + "Ġoptimal": 23669, + "582": 23670, + "Ġrecre": 23671, + "Ġjournalist": 23672, + "ĠExtract": 23673, + "ĠMoreover": 23674, + "ĠmarginTop": 23675, + ".Ap": 23676, + "Ġfiring": 23677, + "NaN": 23678, + "ĉtemplate": 23679, + "ад": 23680, + ".En": 23681, + "Ġdefence": 23682, + "ĠTel": 23683, + "ilen": 23684, + "jan": 23685, + "=data": 23686, + "ĠUrl": 23687, + "ĠReuters": 23688, + "(total": 23689, + "ĠFifth": 23690, + "Ġessays": 23691, + "Ġinterpretation": 23692, + "Ġcharity": 23693, + "ĠRules": 23694, + "Ġsubsection": 23695, + "styled": 23696, + "azer": 23697, + "lags": 23698, + "LIST": 23699, + "Ġuploaded": 23700, + "Ġtrash": 23701, + "Ġregistr": 23702, + "Ġseller": 23703, + ">';čĊ": 23704, + "ĠstartTime": 23705, + "çĻ": 23706, + "sy": 23707, + "(HttpServletRequest": 23708, + "Ġtrap": 23709, + "GC": 23710, + "Ġembedded": 23711, + "Ġsurrounded": 23712, + "816": 23713, + "imits": 23714, + "TX": 23715, + "ylinder": 23716, + "685": 23717, + "ĠFal": 23718, + "Ġsentences": 23719, + "ĠJa": 23720, + "IFICATION": 23721, + "weapon": 23722, + "ovation": 23723, + "Ġcoat": 23724, + "Ġinterpol": 23725, + "Ġlips": 23726, + "ĠKy": 23727, + "Ġvectors": 23728, + "_am": 23729, + "Ġintake": 23730, + ".world": 23731, + "Ġinbox": 23732, + "ĠMAC": 23733, + "_ab": 23734, + "(nameof": 23735, + "633": 23736, + "Ġentert": 23737, + "Ġgathering": 23738, + "ĠSIM": 23739, + "++.": 23740, + "nya": 23741, + "'}}": 23742, + "ĠUPDATE": 23743, + "Ġpac": 23744, + "(html": 23745, + "ĠSant": 23746, + "iating": 23747, + "ĠIdeas": 23748, + "Ġspray": 23749, + "ĠHart": 23750, + "Ġverification": 23751, + "adesh": 23752, + "/modules": 23753, + "ĠMind": 23754, + "ĠSizedBox": 23755, + "Ġshelter": 23756, + "Ġheroes": 23757, + "atty": 23758, + "Ġcertified": 23759, + "sj": 23760, + "Ġêtre": 23761, + "ÅĤo": 23762, + "Ġpublishing": 23763, + "ĠMalays": 23764, + ".getUser": 23765, + "ĠProvider": 23766, + "ĠLinkedList": 23767, + "ĠBor": 23768, + "ROUND": 23769, + "did": 23770, + "tain": 23771, + "pire": 23772, + "ĠJenn": 23773, + "tel": 23774, + "ande": 23775, + "757": 23776, + "_front": 23777, + "ĠMcG": 23778, + "TestMethod": 23779, + "à¸Ń": 23780, + "Ġoccasionally": 23781, + "ĠWales": 23782, + "Ġexercises": 23783, + "ĠÐĴ": 23784, + "045": 23785, + "-plus": 23786, + "Ġvalidator": 23787, + "Ġprayer": 23788, + "LATED": 23789, + "_author": 23790, + "Ġlabour": 23791, + "++Ċ": 23792, + "-equiv": 23793, + "ĠGPL": 23794, + "Ġfacebook": 23795, + "simple": 23796, + "gly": 23797, + "Processor": 23798, + "ipy": 23799, + "744": 23800, + "Ġ*>": 23801, + "648": 23802, + "Ġcleared": 23803, + "ĠPush": 23804, + "858": 23805, + "Ġpenis": 23806, + "Structure": 23807, + "lij": 23808, + "ĠMorgan": 23809, + "Ġhandful": 23810, + "\".Ċ": 23811, + "984": 23812, + "|\\": 23813, + "Ġ********************************": 23814, + "ĠAqu": 23815, + "584": 23816, + "_IC": 23817, + ".loads": 23818, + "Ġmeter": 23819, + "ĠMarine": 23820, + "::{": 23821, + "ĠTS": 23822, + "776": 23823, + "ĠArrays": 23824, + ".Title": 23825, + "GRAM": 23826, + "termin": 23827, + "Ġcoinc": 23828, + "Else": 23829, + "_states": 23830, + "-run": 23831, + "members": 23832, + "782": 23833, + "astro": 23834, + "066": 23835, + "ĠonPress": 23836, + "Ġbeings": 23837, + "Ġabandoned": 23838, + "Ġtaxp": 23839, + "owners": 23840, + ".mode": 23841, + "Ġdiagnosis": 23842, + "Ġ_Ċ": 23843, + "ĠKnight": 23844, + "ĉA": 23845, + "Ġobserve": 23846, + "),'": 23847, + "823": 23848, + "!\")Ċ": 23849, + "ĠPara": 23850, + "Ġvariation": 23851, + "(False": 23852, + "ĠAnti": 23853, + "Ġgri": 23854, + "Ġhomeless": 23855, + "?v": 23856, + "Ġbez": 23857, + ".Server": 23858, + "release": 23859, + "ĠPatri": 23860, + "Ġchars": 23861, + "Ġranking": 23862, + "activation": 23863, + "581": 23864, + "Ġwides": 23865, + "qr": 23866, + ".Sql": 23867, + "acular": 23868, + "ĠBot": 23869, + "_sync": 23870, + "Ġhappiness": 23871, + "Ġvolunteers": 23872, + "877": 23873, + "Ġsits": 23874, + "/<": 23875, + "[e": 23876, + "(fileName": 23877, + "Ġcapac": 23878, + "832": 23879, + "ĠMaria": 23880, + "father": 23881, + "Ġgram": 23882, + "*i": 23883, + "Ġcaso": 23884, + "_draw": 23885, + "ĠRaw": 23886, + "ĠIterator": 23887, + "664": 23888, + "ĠPadding": 23889, + "924": 23890, + "PD": 23891, + "BOX": 23892, + "ĠSPECIAL": 23893, + "Ġfecha": 23894, + "Ġvide": 23895, + "ĠLeader": 23896, + "以": 23897, + "$(\".": 23898, + "Ġdiameter": 23899, + "Ġmild": 23900, + "745": 23901, + "Ġrocks": 23902, + "appings": 23903, + "048": 23904, + "directory": 23905, + "557": 23906, + ".flush": 23907, + "ĠJess": 23908, + "UNIT": 23909, + "ĠPear": 23910, + "Ġmandatory": 23911, + "Sur": 23912, + "qt": 23913, + "Ġstreams": 23914, + "Ġcooperation": 23915, + "ĠSac": 23916, + "Ġcheaper": 23917, + "ĉch": 23918, + "animation": 23919, + "fare": 23920, + "(height": 23921, + "(True": 23922, + "NY": 23923, + "Ġwrest": 23924, + "Ġpolls": 23925, + "Ġencountered": 23926, + "ĠMarketable": 23927, + "_PASSWORD": 23928, + "716": 23929, + "_SELECT": 23930, + "ĠArabia": 23931, + "_clock": 23932, + "Ġvoy": 23933, + "Ġиз": 23934, + "Ġstir": 23935, + "isible": 23936, + "-effect": 23937, + ".created": 23938, + "Ġtoys": 23939, + "ĠTradable": 23940, + "Ġrust": 23941, + "Ġstrcpy": 23942, + "_timestamp": 23943, + "Ġtalented": 23944, + ",null": 23945, + "ĠJobs": 23946, + "ĠPortland": 23947, + "Ġweakness": 23948, + "Throw": 23949, + "ĠAngel": 23950, + "ä¿®": 23951, + "754": 23952, + "Ġuncert": 23953, + "ï¼īĊ": 23954, + "ĠìĿ´": 23955, + "Which": 23956, + "Ġ[-]:": 23957, + "Something": 23958, + "Ġconvicted": 23959, + "kle": 23960, + "edium": 23961, + "Ġbranches": 23962, + "Ġbases": 23963, + "ç®": 23964, + "Ġcomplexity": 23965, + "ĠFig": 23966, + ".reshape": 23967, + "$db": 23968, + "736": 23969, + "_CONST": 23970, + "ĠTes": 23971, + ".runtime": 23972, + "Ġdeny": 23973, + "ĠBSD": 23974, + "Ġkr": 23975, + "hatt": 23976, + "ĠStatic": 23977, + "Ġuniversities": 23978, + "Replace": 23979, + "Ġdrove": 23980, + "Ġadoles": 23981, + "_plugin": 23982, + "ĠLGBT": 23983, + "Ġtex": 23984, + "duction": 23985, + "751": 23986, + "799": 23987, + "EDI": 23988, + "ĠTed": 23989, + "_URI": 23990, + "Ġreception": 23991, + "arten": 23992, + ".Single": 23993, + "rice": 23994, + "scious": 23995, + "843": 23996, + "_bg": 23997, + "Ġwages": 23998, + "ĠServlet": 23999, + "UILayout": 24000, + "Ġformatted": 24001, + ".Mod": 24002, + "',Ċ": 24049, + "Ġexpanding": 24050, + "ĠHamilton": 24051, + "ĠContrib": 24052, + ".Tables": 24053, + "728": 24054, + "Activ": 24055, + "HH": 24056, + "ocommerce": 24057, + "_;": 24058, + "Ġamongst": 24059, + "owing": 24060, + "859": 24061, + "ĠCold": 24062, + "APH": 24063, + "Ġpsychological": 24064, + "_tensor": 24065, + "Ġpackaging": 24066, + "ĠSweden": 24067, + "Ġpare": 24068, + "Ġaggregate": 24069, + "Ġmoderate": 24070, + "862": 24071, + "_hand": 24072, + "Ġdesignated": 24073, + "Ġdrum": 24074, + "ĠgetUser": 24075, + "ĠCreek": 24076, + "_scope": 24077, + "ĠTransfer": 24078, + "ĠMarg": 24079, + "Ġfighters": 24080, + "Wnd": 24081, + "ĠSel": 24082, + "ĠLaunch": 24083, + "Ġemerging": 24084, + "iframe": 24085, + "ĠAdditional": 24086, + "Ġfears": 24087, + "Ġsatellite": 24088, + "_:": 24089, + "Ġdisposing": 24090, + "GetValue": 24091, + "HttpPost": 24092, + "ATIVE": 24093, + "ulary": 24094, + "Views": 24095, + "Ġattending": 24096, + "ĠTennessee": 24097, + "ĠMission": 24098, + "Ġmedication": 24099, + "ĠWy": 24100, + "ĠAnna": 24101, + "ع": 24102, + "ĠVertex": 24103, + ".types": 24104, + "Organ": 24105, + ".DataGridViewTextBoxColumn": 24106, + "ĠRS": 24107, + "Ġtempo": 24108, + "(App": 24109, + "892": 24110, + "VersionUID": 24111, + ".point": 24112, + "ĠDutch": 24113, + "Hours": 24114, + "LU": 24115, + "Ġquoted": 24116, + ".builder": 24117, + "ĠPerfect": 24118, + "ĠAlways": 24119, + "_two": 24120, + "Ġexclusively": 24121, + "ĠCra": 24122, + "ificar": 24123, + "ĠAWS": 24124, + "ingham": 24125, + "complex": 24126, + "kernel": 24127, + "Ġgravity": 24128, + "Ġwi": 24129, + "052": 24130, + "Ġoverview": 24131, + "661": 24132, + "ĠWant": 24133, + "ĠWP": 24134, + "(sh": 24135, + ".rotation": 24136, + "States": 24137, + "ĠTeen": 24138, + "_components": 24139, + "ìĪĺ": 24140, + "Received": 24141, + "Ġlyrics": 24142, + "rites": 24143, + "ĉĉĉĉĉĠ": 24144, + "-American": 24145, + "[num": 24146, + "/python": 24147, + "ĠUART": 24148, + "Ġapple": 24149, + "ĠJonathan": 24150, + "Ġmomentum": 24151, + "ั": 24152, + "Ĥ¹": 24153, + "Ġmich": 24154, + "andra": 24155, + "Ġbiological": 24156, + "ĠMens": 24157, + "Ġ%%": 24158, + "elsea": 24159, + "ĠMexican": 24160, + ".randint": 24161, + "Ġtale": 24162, + "ĠValidate": 24163, + "Ġdefeated": 24164, + ".htm": 24165, + "Ġcopper": 24166, + "=/": 24167, + "cosystem": 24168, + "Ġrip": 24169, + "decimal": 24170, + ".VISIBLE": 24171, + "ĠTa": 24172, + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ": 24173, + "Ġdownloaded": 24174, + "environment": 24175, + "Ġnomine": 24176, + "building": 24177, + "ĠSpot": 24178, + "ipheral": 24179, + "Ġalto": 24180, + "quet": 24181, + "ĠFT": 24182, + "/get": 24183, + "/master": 24184, + "WIN": 24185, + "åħĥ": 24186, + "676": 24187, + "West": 24188, + "argc": 24189, + "Ġproducers": 24190, + "ĠMuch": 24191, + "_storage": 24192, + "credit": 24193, + "CONT": 24194, + "Ġvet": 24195, + "Ġvoices": 24196, + "('',": 24197, + "Ġinstruments": 24198, + "662": 24199, + "ĠMSG": 24200, + "esse": 24201, + "repository": 24202, + "omics": 24203, + "Ġdealer": 24204, + "Still": 24205, + "Ġbanner": 24206, + "ascii": 24207, + "Ġremarks": 24208, + "[js": 24209, + "Ġshorter": 24210, + "gulp": 24211, + "Ġmyster": 24212, + "Ġkun": 24213, + "ĠBird": 24214, + "Ġtiene": 24215, + "788": 24216, + "nut": 24217, + "ĠUm": 24218, + "Ġwise": 24219, + "Yeah": 24220, + "INESS": 24221, + "046": 24222, + "_begin": 24223, + "-heading": 24224, + "Course": 24225, + "ĠčĊčĊ": 24226, + "ombie": 24227, + "graded": 24228, + "ĠGPS": 24229, + "Ġże": 24230, + "Fit": 24231, + "caption": 24232, + "ön": 24233, + "/image": 24234, + "lia": 24235, + "(mod": 24236, + "Ġleak": 24237, + "enza": 24238, + "629": 24239, + "/H": 24240, + "ĠHappy": 24241, + "993": 24242, + "Dist": 24243, + "nx": 24244, + "ĠGovernor": 24245, + "(last": 24246, + "teacher": 24247, + "ĠSent": 24248, + "support": 24249, + "838": 24250, + "jectory": 24251, + "ĠÙħ": 24252, + "Registration": 24253, + "063": 24254, + "ĠGray": 24255, + ",false": 24256, + "Ġadjusted": 24257, + "(settings": 24258, + "'Ċ": 24324, + "-fold": 24325, + "æĬ": 24326, + "ĠBetter": 24327, + "Ġ\"\\<": 24328, + "spacing": 24329, + "Ġfurnished": 24330, + "913": 24331, + "oser": 24332, + "]}Ċ": 24333, + "Ġ$\"": 24334, + "pull": 24335, + ".Post": 24336, + "919": 24337, + "(ip": 24338, + "Ĺı": 24339, + ".front": 24340, + "nte": 24341, + "ĠFM": 24342, + "guid": 24343, + "844": 24344, + "Ġnegotiations": 24345, + "agonal": 24346, + "934": 24347, + "Ġtremend": 24348, + "ungeon": 24349, + "Adv": 24350, + "carousel": 24351, + "ÃŁe": 24352, + "_DESC": 24353, + "Ġhammer": 24354, + "áºŃ": 24355, + "ĠĠĠĠĠĠĠĠĊĊ": 24356, + "-core": 24357, + "-service": 24358, + "Ġcorners": 24359, + "ĠSF": 24360, + "pred": 24361, + ">A": 24362, + "ĠJLabel": 24363, + "Ġromantic": 24364, + "Ġtestimony": 24365, + "osc": 24366, + "ĠGeneration": 24367, + "asures": 24368, + "_internal": 24369, + "Ġprints": 24370, + "Ġ])Ċ": 24371, + "ĠCleveland": 24372, + "repo": 24373, + "Disc": 24374, + "677": 24375, + "762": 24376, + "Ġ\">Ċ": 24377, + "����": 24378, + "Ġnearest": 24379, + "591": 24380, + "_tb": 24381, + "(require": 24382, + "EOF": 24383, + "-child": 24384, + "Ġbudd": 24385, + ".XtraEditors": 24386, + "alties": 24387, + "723": 24388, + "\\\":\\\"": 24389, + "Words": 24390, + "917": 24391, + "Ġlocally": 24392, + "Ġpurchases": 24393, + "695": 24394, + "Drawer": 24395, + "extract": 24396, + "Ġexecut": 24397, + "}'.": 24398, + "userdata": 24399, + "Ġfocuses": 24400, + "-minute": 24401, + "764": 24402, + "ĠPublish": 24403, + "ogo": 24404, + "Ġmountains": 24405, + "Bot": 24406, + "}>{": 24407, + "Ġtension": 24408, + "rod": 24409, + "mesh": 24410, + "Ġtransformed": 24411, + ",R": 24412, + "()}Ċ": 24413, + ".long": 24414, + "Ġgorgeous": 24415, + "ĠSchedule": 24416, + "Ġoldest": 24417, + "Ġsubprocess": 24418, + "(IN": 24419, + "yect": 24420, + "ĠCooper": 24421, + "arness": 24422, + "ĠMonitor": 24423, + ".part": 24424, + "972": 24425, + "ĠNBC": 24426, + "668": 24427, + "Ġcotton": 24428, + "Ġhol": 24429, + "726": 24430, + "Ġrgba": 24431, + "ĠBio": 24432, + "Continue": 24433, + "Pod": 24434, + "Ġparticipating": 24435, + "clusions": 24436, + "(ByVal": 24437, + "734": 24438, + "ì": 24439, + "ĠHOW": 24440, + "_setopt": 24441, + "Ġaccompanying": 24442, + "091": 24443, + "aton": 24444, + "Ġ/\\": 24445, + "ĠAuthentication": 24446, + "ién": 24447, + "ĠBarack": 24448, + "/*.": 24449, + "Ġeager": 24450, + "ĠCancel": 24451, + "$": 24502, + "OLEAN": 24503, + "OKIE": 24504, + "IBILITY": 24505, + "UAGE": 24506, + "ĠSurvey": 24507, + "071": 24508, + "Ġresign": 24509, + "wing": 24510, + "Ġsecrets": 24511, + "Ġchips": 24512, + "JSONObject": 24513, + "Desktop": 24514, + "596": 24515, + "_SYMBOL": 24516, + "(resource": 24517, + "ĠĊ": 24518, + "Ġnewest": 24519, + "uli": 24520, + "Ġdesert": 24521, + "Ġdip": 24522, + "ĠPow": 24523, + "Ġequation": 24524, + "Ġpossibilities": 24525, + "ĠFed": 24526, + "osph": 24527, + "Ġ[%": 24528, + "Ġbubble": 24529, + "etherlands": 24530, + "793": 24531, + "Ġcement": 24532, + ".auto": 24533, + "_AN": 24534, + "âĢĻ.": 24535, + "selection": 24536, + "ĠBond": 24537, + "988": 24538, + "Den": 24539, + "-O": 24540, + ".getType": 24541, + "896": 24542, + ".Window": 24543, + "pres": 24544, + "Ġswinger": 24545, + "\"})Ċ": 24546, + "Ġpip": 24547, + "Ġmice": 24548, + "Ġcompound": 24549, + "-plugin": 24550, + "iko": 24551, + "Ġcenturies": 24552, + "icular": 24553, + "-inline": 24554, + "ĉkey": 24555, + ">\\<": 24556, + "ENSION": 24557, + "Ġ[čĊ": 24558, + "Ġprecisely": 24559, + "Ġété": 24560, + "ĠPast": 24561, + "ĠCambridge": 24562, + "-full": 24563, + "Ġanalyze": 24564, + "ĠSteven": 24565, + "Ġnem": 24566, + "due": 24567, + "oren": 24568, + "Ġmuscles": 24569, + "ijing": 24570, + "852": 24571, + "/-": 24572, + "ĠKennedy": 24573, + "597": 24574, + "RM": 24575, + "ossible": 24576, + "Ġactress": 24577, + "Ġdolor": 24578, + "914": 24579, + "å½ķ": 24580, + "Need": 24581, + ".toggle": 24582, + "ĠRace": 24583, + "wers": 24584, + ".material": 24585, + "ĠDue": 24586, + "ĠPel": 24587, + "#print": 24588, + "Ġindependence": 24589, + "exus": 24590, + "Shadow": 24591, + "Ġencoder": 24592, + "(level": 24593, + "ĠSwift": 24594, + ".doc": 24595, + "_selection": 24596, + "952": 24597, + "ĠserialVersionUID": 24598, + "945": 24599, + "Labels": 24600, + "Ġperformances": 24601, + ".Tag": 24602, + "ĠNHL": 24603, + "izen": 24604, + "/UIKit": 24605, + "991": 24606, + "_CONTROL": 24607, + "Ġearnings": 24608, + "975": 24609, + "ĠAlt": 24610, + "_HANDLE": 24611, + "Ctx": 24612, + "Ġpersu": 24613, + "Ġtran": 24614, + "ç¨": 24615, + "_CHANNEL": 24616, + "Ġsatisfaction": 24617, + "ĠGP": 24618, + "769": 24619, + "iox": 24620, + "mitt": 24621, + "lando": 24622, + "Ġpig": 24623, + "inals": 24624, + "ência": 24625, + "731": 24626, + "Surface": 24627, + "ĠUUID": 24628, + "Ġbeneficial": 24629, + "Ġsequences": 24630, + "ĉmemset": 24631, + "Ġmagical": 24632, + "«": 24633, + "Ġworn": 24634, + "ASC": 24635, + "popup": 24636, + "COMP": 24637, + "_before": 24638, + "eness": 24639, + "Ui": 24640, + "Les": 24641, + ".require": 24642, + ".Serializable": 24643, + "addGap": 24644, + "Ġauthorization": 24645, + "085": 24646, + ".pyplot": 24647, + "urray": 24648, + "latitude": 24649, + "845": 24650, + "frames": 24651, + "ajs": 24652, + "Ġcompass": 24653, + "Ġobservations": 24654, + "_sup": 24655, + ".environ": 24656, + "Ġtriple": 24657, + "ĠRuby": 24658, + "Ġdrain": 24659, + "_FILTER": 24660, + "San": 24661, + "UMP": 24662, + "NullException": 24663, + "ĠGab": 24664, + "owe": 24665, + "ĠTurkish": 24666, + "_sequence": 24667, + "ĠGrant": 24668, + "uela": 24669, + "Ġwo": 24670, + "Ġcube": 24671, + "iq": 24672, + "Ġdisorders": 24673, + "Ġextraordinary": 24674, + "Ġctrl": 24675, + "ĠSeq": 24676, + "entr": 24677, + "865": 24678, + "Ġsanctions": 24679, + "949": 24680, + "utsch": 24681, + "Reports": 24682, + "Ġinherit": 24683, + "Period": 24684, + "Ġphotography": 24685, + "ĠFramework": 24686, + "Ġspecialist": 24687, + "Ġ?ĊĊ": 24688, + "_selected": 24689, + ".Player": 24690, + "Ġallocation": 24691, + "(account": 24692, + "Ġstructural": 24693, + "vable": 24694, + "-offset": 24695, + ".AppCompatActivity": 24696, + "ам": 24697, + ".AddWithValue": 24698, + "Ġicons": 24699, + "Ġshutdown": 24700, + "_low": 24701, + "ĠCompare": 24702, + "ĠCe": 24703, + "=head": 24704, + "lam": 24705, + ".predict": 24706, + "_DEC": 24707, + "ĠSleep": 24708, + "ĠGratis": 24709, + "Ġsuggestion": 24710, + "ĠDEL": 24711, + "caff": 24712, + "avirus": 24713, + "Nothing": 24714, + "ŀĭ": 24715, + "Ġwidespread": 24716, + "Ġmechanisms": 24717, + "ĠtextAlign": 24718, + "occup": 24719, + "ĠRail": 24720, + ":NS": 24721, + "Ġfiber": 24722, + "Ġmk": 24723, + "Ġvintage": 24724, + "-long": 24725, + ".reduce": 24726, + ".Entities": 24727, + "(record": 24728, + "Ġpleasant": 24729, + "FRING": 24730, + ".Cells": 24731, + "OTT": 24732, + "ĉelseif": 24733, + "649": 24734, + "724": 24735, + "_confirm": 24736, + "ĠViewGroup": 24737, + "sym": 24738, + "Ġpray": 24739, + "Ġsuspected": 24740, + "Contains": 24741, + "983": 24742, + "Ġborders": 24743, + "ĠcomponentDid": 24744, + "ASSERT": 24745, + "Ġinfinite": 24746, + "-order": 24747, + "Ġhello": 24748, + "ĠGrade": 24749, + ".currentTimeMillis": 24750, + "apolis": 24751, + "zh": 24752, + "ĉObject": 24753, + ":\\\\": 24754, + "HO": 24755, + "valuation": 24756, + "Ġvocab": 24757, + "719": 24758, + "Ġcoupon": 24759, + "atabases": 24760, + ".GetType": 24761, + "Learn": 24762, + "792": 24763, + "]=\"": 24764, + "ĠGary": 24765, + "otive": 24766, + "Ġash": 24767, + "Ġbib": 24768, + "XXXX": 24769, + "Ġbalanced": 24770, + "VALUE": 24771, + "ĠNat": 24772, + "_Ad": 24773, + "<": 24930, + "Ġfool": 24931, + "Ġesk": 24932, + ".Null": 24933, + "ĠDies": 24934, + "_OUTPUT": 24935, + "_TYPED": 24936, + "Ġpainted": 24937, + "673": 24938, + "735": 24939, + "Ġsophistic": 24940, + "ĠBear": 24941, + "*n": 24942, + "_PACK": 24943, + "Ġdelivering": 24944, + "ĠCOUNT": 24945, + "åįķ": 24946, + "Ġjeg": 24947, + "-car": 24948, + "fname": 24949, + "Ġranging": 24950, + "848": 24951, + "ĠNeg": 24952, + "/******/": 24953, + "ĠCHAR": 24954, + "Ġultra": 24955, + "Grad": 24956, + "=t": 24957, + "Ġjudges": 24958, + "ĠDise": 24959, + "anners": 24960, + "985": 24961, + "891": 24962, + "861": 24963, + "Ġscal": 24964, + "_cal": 24965, + "ĠCONNECTION": 24966, + "_embed": 24967, + "(fn": 24968, + "ĠCraft": 24969, + "047": 24970, + "ĠPas": 24971, + "\")->": 24972, + ".convert": 24973, + ".resource": 24974, + "ĠSTATUS": 24975, + "ông": 24976, + "ĠTit": 24977, + "Ġclassroom": 24978, + "ĠArchitect": 24979, + "ĠKings": 24980, + "Ġsteady": 24981, + "/*!Ċ": 24982, + "ĠGene": 24983, + ")\";Ċ": 24984, + "icia": 24985, + "stan": 24986, + "ĠConstruction": 24987, + "umper": 24988, + "951": 24989, + "wc": 24990, + "ĠCBS": 24991, + "inging": 24992, + "-party": 24993, + "(driver": 24994, + "MARK": 24995, + "082": 24996, + "Ġnested": 24997, + "eward": 24998, + "Ġdependency": 24999, + "Ġmales": 25000, + "928": 25001, + "ĠONE": 25002, + "ĠProduction": 25003, + "][$": 25004, + "ãĥ¼ãĥ": 25005, + "_LOAD": 25006, + "ĠBol": 25007, + "elry": 25008, + "831": 25009, + "łéĻ¤": 25010, + "ĠRequire": 25011, + "Ġplacing": 25012, + "xxx": 25013, + "CALE": 25014, + "Ġthumb": 25015, + "824": 25016, + "Choose": 25017, + "Ġprototype": 25018, + "VOID": 25019, + "Ġlesbian": 25020, + "741": 25021, + "Ġtraits": 25022, + "Sharp": 25023, + "Ġconsume": 25024, + "Truth": 25025, + "ĠactionPerformed": 25026, + "ĠEnvironmental": 25027, + "ĠDean": 25028, + "Ġestado": 25029, + "same": 25030, + "Ġnumeric": 25031, + "Ġtransit": 25032, + ".Email": 25033, + "-side": 25034, + "_RUN": 25035, + "ĠVillage": 25036, + "_OPEN": 25037, + "è¦": 25038, + ".rem": 25039, + "-warning": 25040, + "anya": 25041, + "PropertyChanged": 25042, + "Ġ(!_": 25043, + "(check": 25044, + "ilia": 25045, + "ĠSoft": 25046, + "steps": 25047, + "ĠMadrid": 25048, + "MemoryWarning": 25049, + "Ġhandlers": 25050, + "Ġexperiencing": 25051, + "Ġinspect": 25052, + "buttons": 25053, + "ReceiveMemoryWarning": 25054, + "chemy": 25055, + "Links": 25056, + "Ġurllib": 25057, + ".SystemColors": 25058, + "ĠEigen": 25059, + "Ġpunishment": 25060, + ":UIControl": 25061, + "bara": 25062, + "-set": 25063, + "Ġ}čĊčĊčĊ": 25064, + "Ġtolerance": 25065, + "Ġinterfaces": 25066, + ".redirect": 25067, + "ighbors": 25068, + "csrf": 25069, + "_background": 25070, + ".Utils": 25071, + "_HT": 25072, + "692": 25073, + "ĠInterest": 25074, + "imos": 25075, + "Ġgrants": 25076, + "083": 25077, + "Ġexamined": 25078, + "ÐĶ": 25079, + "Ġcf": 25080, + "forge": 25081, + "backs": 25082, + "ĠObjects": 25083, + "_sent": 25084, + ".entry": 25085, + "ĠTHEN": 25086, + "ellido": 25087, + "cia": 25088, + ",res": 25089, + "659": 25090, + "681": 25091, + "/stdc": 25092, + ".nd": 25093, + "(Int": 25094, + "ĠAuthors": 25095, + "ĠAppCompatActivity": 25096, + "'{": 25097, + "Ġmedi": 25098, + "Music": 25099, + "igm": 25100, + "ceipt": 25101, + "Ġauss": 25102, + "Ġtargeting": 25103, + "ĠKeys": 25104, + "hn": 25105, + ":]Ċ": 25106, + "Ġmineral": 25107, + "î": 25108, + ".ca": 25109, + "761": 25110, + "omed": 25111, + "Ġsheets": 25112, + "Ġcamb": 25113, + "Ġdeadly": 25114, + ".inject": 25115, + "(unit": 25116, + "ĠSelection": 25117, + ".gms": 25118, + "(connection": 25119, + "Ġ$(\"": 25120, + "émon": 25121, + "ĠCurrently": 25122, + "pte": 25123, + "_paths": 25124, + "847": 25125, + "leaf": 25126, + "Ġimplications": 25127, + "posal": 25128, + "ä½į": 25129, + "[/": 25130, + "ancia": 25131, + "éĽ": 25132, + "mul": 25133, + "cie": 25134, + "Ġgeile": 25135, + "679": 25136, + "imals": 25137, + "UIView": 25138, + "Ġsurre": 25139, + "serialize": 25140, + "ISO": 25141, + "Ġarbitrary": 25142, + "Ġsockaddr": 25143, + ".fn": 25144, + "ĠMerc": 25145, + "Ġcasting": 25146, + "KeyDown": 25147, + "ĠnewValue": 25148, + "opens": 25149, + "717": 25150, + "Todo": 25151, + "Ġflexibility": 25152, + "ĉĉĉĉĠĠ": 25153, + "Velocity": 25154, + "ún": 25155, + "rowing": 25156, + "Ġcomputed": 25157, + "`)Ċ": 25158, + "statement": 25159, + "Ġri": 25160, + "_cart": 25161, + "Low": 25162, + "transfer": 25163, + ".nav": 25164, + "Ġgrave": 25165, + "ĠDoor": 25166, + "ĉalert": 25167, + "691": 25168, + "698": 25169, + ".subscribe": 25170, + "-profile": 25171, + "ĉbase": 25172, + "ĠâĪĴ": 25173, + "__ĊĊ": 25174, + "Ġengineers": 25175, + "Ġexplosion": 25176, + "Ġdari": 25177, + "682": 25178, + "ĉLog": 25179, + "onal": 25180, + "Ġisolated": 25181, + "{i": 25182, + "ĠMsg": 25183, + "Future": 25184, + "Ġracist": 25185, + "-wrap": 25186, + "ĠVers": 25187, + "borg": 25188, + "ISION": 25189, + "ĠÑĢаÐ": 25190, + "ĠYan": 25191, + "836": 25192, + "initWith": 25193, + "Ġnomin": 25194, + "(empty": 25195, + "ÃŃn": 25196, + "ãĤ¤": 25197, + "ĉwidth": 25198, + "Ġchamber": 25199, + "/ajax": 25200, + "EMP": 25201, + "093": 25202, + "Ġneces": 25203, + "ivos": 25204, + "logic": 25205, + "*)&": 25206, + "cripts": 25207, + "976": 25208, + "RowAt": 25209, + "053": 25210, + "iblings": 25211, + "Ġears": 25212, + "Ġcomputing": 25213, + "Ġmaker": 25214, + "ĠNeither": 25215, + "breadcrumb": 25216, + "Ġserialize": 25217, + "ĠWithin": 25218, + "Ġdell": 25219, + "_TRACE": 25220, + "092": 25221, + "=a": 25222, + "Ġwishes": 25223, + "-inch": 25224, + "ĠDor": 25225, + "Ġinnocent": 25226, + "ĠDol": 25227, + "Ġintens": 25228, + "forced": 25229, + "054": 25230, + "ĠBIT": 25231, + "Ġphotographs": 25232, + "Ġcasa": 25233, + "ĠLen": 25234, + "\\Framework": 25235, + ".Simple": 25236, + "Ġdear": 25237, + "895": 25238, + ")/(": 25239, + "ippi": 25240, + "Ġowns": 25241, + "Players": 25242, + "Ġproposals": 25243, + ".pi": 25244, + "usalem": 25245, + "Damage": 25246, + "Ġcalories": 25247, + "ĠCreative": 25248, + "Ġ[$": 25249, + "Ġ//čĊ": 25250, + "786": 25251, + "AndView": 25252, + "ème": 25253, + ".custom": 25254, + "_factory": 25255, + "commands": 25256, + "_look": 25257, + "Ġstrcmp": 25258, + "YN": 25259, + "aired": 25260, + "Ġaudit": 25261, + "оÑģÑĤ": 25262, + "ĠReverse": 25263, + "ropriate": 25264, + "etics": 25265, + "';Ċ": 25348, + "Ġpepper": 25349, + "989": 25350, + "Ġshed": 25351, + "ĠMedium": 25352, + "ĠCookie": 25353, + "889": 25354, + "Ġoverseas": 25355, + "edor": 25356, + "asurement": 25357, + "766": 25358, + "åŃĺ": 25359, + "Ġ'.'": 25360, + "Ġphp": 25361, + "ĠPROC": 25362, + "Ġexceptional": 25363, + "(th": 25364, + "ĠJet": 25365, + "Ġoccupied": 25366, + ".setImage": 25367, + "ĠRelated": 25368, + "ucker": 25369, + "Members": 25370, + "PRINT": 25371, + "ĠGlo": 25372, + "_VIEW": 25373, + "}\",Ċ": 25374, + "Ġadoption": 25375, + "[])Ċ": 25376, + "842": 25377, + "ĠMissouri": 25378, + "ĠLincoln": 25379, + "erald": 25380, + "Popup": 25381, + "Ġfate": 25382, + "-bootstrap": 25383, + "fections": 25384, + "ĠPoll": 25385, + "_ARGS": 25386, + "inance": 25387, + "697": 25388, + "-home": 25389, + ".),": 25390, + "_done": 25391, + "694": 25392, + ":ĊĊĊ": 25393, + "Ġdiscussing": 25394, + "ĠSQLException": 25395, + "Ġelectro": 25396, + "ĉreq": 25397, + "Ġzw": 25398, + "886": 25399, + "Ġlui": 25400, + "932": 25401, + "Ġovernight": 25402, + "$user": 25403, + "ĠWAY": 25404, + "Ġallerg": 25405, + "Ġdisappointed": 25406, + "Ġradiation": 25407, + "Ġimpressed": 25408, + "ificates": 25409, + "Ġtob": 25410, + "CLASS": 25411, + "Ġcuda": 25412, + "_det": 25413, + "-post": 25414, + "ulu": 25415, + "Translation": 25416, + "-hand": 25417, + ".year": 25418, + "ĠMongo": 25419, + "Ġunclear": 25420, + ".engine": 25421, + "WEBPACK": 25422, + "rices": 25423, + "_ACCESS": 25424, + "Ġholidays": 25425, + "percent": 25426, + ".Identity": 25427, + "ĠGov": 25428, + "Ġpassionate": 25429, + "!!.": 25430, + "ĠGreece": 25431, + "plusplus": 25432, + "'));": 25433, + "GP": 25434, + "Ġexcit": 25435, + ".tabPage": 25436, + "_cond": 25437, + "Ġsponsor": 25438, + "MODULE": 25439, + "_proc": 25440, + "Ġ$Ċ": 25441, + "Ġrational": 25442, + ".Tool": 25443, + "Ġihr": 25444, + "cca": 25445, + "åĵģ": 25446, + "ĠEstate": 25447, + "IBUTE": 25448, + "ActionPerformed": 25449, + "ĠSolar": 25450, + "¦Ĥ": 25451, + "Ġequity": 25452, + "tid": 25453, + "938": 25454, + "Ġrecip": 25455, + ".simple": 25456, + "mk": 25457, + "689": 25458, + "ĠLuke": 25459, + "ĠGuardian": 25460, + "Ġencrypted": 25461, + "Ġdominant": 25462, + ".place": 25463, + "ĠNV": 25464, + "839": 25465, + "Ġtongue": 25466, + "(Get": 25467, + "Ġstainless": 25468, + ".Play": 25469, + "Ġeb": 25470, + "aci": 25471, + ".buffer": 25472, + "readcrumbs": 25473, + "Ġvaccine": 25474, + "prom": 25475, + "979": 25476, + "ĠuserInfo": 25477, + "Ġslug": 25478, + "SerializedName": 25479, + "-wide": 25480, + "Ġreactions": 25481, + "ĠYang": 25482, + "ĠAdds": 25483, + "(userId": 25484, + "Ġplates": 25485, + "ĠMEM": 25486, + "Ġbail": 25487, + "Inside": 25488, + "eted": 25489, + "Ġelsif": 25490, + "Ġsake": 25491, + "Ġcycles": 25492, + "ĠìĹ": 25493, + "ĉI": 25494, + "-collapse": 25495, + "841": 25496, + "ĠGMT": 25497, + "814": 25498, + "Declaration": 25499, + "Ġgros": 25500, + "Ġreaches": 25501, + "Ġcustody": 25502, + "Until": 25503, + "753": 25504, + "856": 25505, + "tu": 25506, + "ĠChen": 25507, + "Ġnx": 25508, + "(addr": 25509, + "ĠOffer": 25510, + "Ġcolleg": 25511, + "assador": 25512, + "674": 25513, + "Ġmapper": 25514, + "854": 25515, + "ĠSIGNAL": 25516, + "ĠBloom": 25517, + "ĠHoll": 25518, + "ĠImper": 25519, + "-des": 25520, + "_site": 25521, + "Proc": 25522, + "Equ": 25523, + "Ġatomic": 25524, + "ĠWoman": 25525, + "sent": 25526, + "738": 25527, + "817": 25528, + "scar": 25529, + "Ġintelligent": 25530, + "ĠGetting": 25531, + "ĠRegistration": 25532, + "ĠPhill": 25533, + "Ġkiller": 25534, + "unicode": 25535, + "ĊĉĉĊ": 25536, + "ĠJacob": 25537, + "ĠConst": 25538, + "Ġlocate": 25539, + "Ġcaus": 25540, + "749": 25541, + "ĠScholar": 25542, + "Ġconstitutional": 25543, + "Ġinflation": 25544, + "ĠGot": 25545, + "=array": 25546, + "endum": 25547, + "Ġtranslated": 25548, + "Ġdivorce": 25549, + "Entries": 25550, + "Ġsor": 25551, + "ĠQuote": 25552, + "irlines": 25553, + "UK": 25554, + "Ġexcel": 25555, + "(opt": 25556, + "ĠADV": 25557, + ",:,": 25558, + "Ġcontacted": 25559, + "742": 25560, + "ĠDA": 25561, + "Ġrings": 25562, + "ĠIndustrial": 25563, + ".getContext": 25564, + "Ġforgotten": 25565, + "ĠTan": 25566, + "Ġpants": 25567, + "Ġov": 25568, + "Ġdecoder": 25569, + "ĠPartial": 25570, + "Ġvc": 25571, + "Ġbattles": 25572, + "Arial": 25573, + "FRINGEMENT": 25574, + "irates": 25575, + ",w": 25576, + "aintenance": 25577, + "ĠOd": 25578, + "ĠTechnologies": 25579, + "åīį": 25580, + "ĠCarter": 25581, + ".findAll": 25582, + "Nome": 25583, + "Ben": 25584, + "ĠUsage": 25585, + "ĠPicture": 25586, + "Ġbadly": 25587, + "_panel": 25588, + "Ġpatent": 25589, + "ĠProtocol": 25590, + "lotte": 25591, + "ĉplayer": 25592, + "jections": 25593, + "746": 25594, + "Ġdou": 25595, + "_release": 25596, + "urniture": 25597, + "_tax": 25598, + "ĠFields": 25599, + ".dataset": 25600, + "_master": 25601, + "CLUDE": 25602, + "ĠPharm": 25603, + "bst": 25604, + "Ġoperational": 25605, + ".cell": 25606, + "Ġidentifying": 25607, + "Ġjwt": 25608, + "tuple": 25609, + "ĠTC": 25610, + "ĠCro": 25611, + "936": 25612, + "ixmap": 25613, + "-components": 25614, + "general": 25615, + "Ġoz": 25616, + "_De": 25617, + "_double": 25618, + "ĠToo": 25619, + "088": 25620, + ".ViewGroup": 25621, + "879": 25622, + "gate": 25623, + "dings": 25624, + "photos": 25625, + "Ġgrande": 25626, + "ollect": 25627, + "_lin": 25628, + "Ġawful": 25629, + "filters": 25630, + "Ġalternate": 25631, + "esp": 25632, + "Ġcompress": 25633, + "eo": 25634, + "ĠScale": 25635, + "Ġindirect": 25636, + "Ġinvoice": 25637, + "ĊĊĊĊĊĊĊĊĊĊĊĊĊĊĊĊ": 25638, + "Starting": 25639, + "ĠPlayers": 25640, + "iele": 25641, + ".then": 25642, + "981": 25643, + "Ord": 25644, + "ĠTuple": 25645, + "Ġbout": 25646, + "ĠStatistics": 25647, + "Preview": 25648, + "Ġpuzzle": 25649, + "ĠWidth": 25650, + "STATE": 25651, + "Ġoverlay": 25652, + "ĉon": 25653, + "Ġinfr": 25654, + "Ġsmallest": 25655, + "locked": 25656, + "ÑĤо": 25657, + "ssl": 25658, + "779": 25659, + "Ġdeemed": 25660, + "Ġsco": 25661, + "reck": 25662, + "ĠjButton": 25663, + "Ġmissions": 25664, + "871": 25665, + "称": 25666, + ".SelectedIndex": 25667, + "TABLE": 25668, + "Sept": 25669, + "Ġacknowledge": 25670, + "Ġstrtotime": 25671, + "ĠTell": 25672, + "ĠDak": 25673, + "Ġaluminum": 25674, + "Ġfence": 25675, + "ĠStars": 25676, + "CONFIG": 25677, + "Ġretrofit": 25678, + "Ġemphasis": 25679, + "/header": 25680, + "ĠSomething": 25681, + "inished": 25682, + "='\".$": 25683, + "ĠValidators": 25684, + "Ġpolar": 25685, + "sections": 25686, + "944": 25687, + ".aspx": 25688, + "Ġaspir": 25689, + ".Mock": 25690, + "CodeGen": 25691, + "Ġpeut": 25692, + "971": 25693, + "Ġaccepting": 25694, + "Ġbacking": 25695, + "Picture": 25696, + "/ap": 25697, + "ег": 25698, + "_SEC": 25699, + "-use": 25700, + "annotation": 25701, + "Ġcognitive": 25702, + "Ġgrip": 25703, + "hour": 25704, + "ĠLegal": 25705, + "Ġepic": 25706, + ".toolStrip": 25707, + ".notify": 25708, + ".Last": 25709, + "ORIZ": 25710, + "Middleware": 25711, + "criptions": 25712, + "lash": 25713, + "_FOUND": 25714, + "ĠLiverpool": 25715, + "Ġ{}\",": 25716, + "931": 25717, + "Install": 25718, + "Ġnit": 25719, + "Ġfigured": 25720, + "[len": 25721, + ".Win": 25722, + ".platform": 25723, + "853": 25724, + "Ġgambling": 25725, + "(dt": 25726, + "avery": 25727, + "ĉinclude": 25728, + "Whether": 25729, + "Routing": 25730, + "Ġtherap": 25731, + "Remote": 25732, + "ĠLoss": 25733, + "yll": 25734, + "Ġapproached": 25735, + "ĠVehicle": 25736, + "ĠAlpha": 25737, + "Ġvocê": 25738, + "answers": 25739, + "NSDictionary": 25740, + "954": 25741, + "consider": 25742, + "unused": 25743, + "ĠFan": 25744, + "orable": 25745, + "fre": 25746, + "873": 25747, + "ĠDISCLAIM": 25748, + "ĠActor": 25749, + ".]": 25750, + "toHave": 25751, + ".userId": 25752, + "Ġspeeds": 25753, + "eway": 25754, + "Ġrecurs": 25755, + "Ġг": 25756, + "_priv": 25757, + "!âĢĿĊĊ": 25758, + "Choice": 25759, + "Ġsettle": 25760, + "Ġplanes": 25761, + "'},": 25762, + "Tom": 25763, + "ITER": 25764, + "!\"Ċ": 25765, + "å»": 25766, + "achelor": 25767, + "Ġseparation": 25768, + "Ġdal": 25769, + "adj": 25770, + "Ġregisters": 25771, + "riz": 25772, + "ĠNotice": 25773, + "Ġlu": 25774, + "Ġcourage": 25775, + "Ġaxes": 25776, + "cellent": 25777, + ".async": 25778, + "073": 25779, + "Ġcompatibility": 25780, + "ç«": 25781, + "Ġ!ĊĊ": 25782, + "ĉtitle": 25783, + "YLE": 25784, + "ĉmessage": 25785, + "UUID": 25786, + "OLDER": 25787, + "ĠHH": 25788, + "ĠStyleSheet": 25789, + "Ġaccessed": 25790, + ".validation": 25791, + "tasks": 25792, + "Ġpollution": 25793, + ".canvas": 25794, + "Ġingredient": 25795, + "ĠCabin": 25796, + "Ah": 25797, + "oldown": 25798, + "ĠNOI": 25799, + "ĠÃĹ": 25800, + "[f": 25801, + "educ": 25802, + "yalty": 25803, + "(not": 25804, + "_State": 25805, + "933": 25806, + "amen": 25807, + "795": 25808, + "739": 25809, + "Ġdao": 25810, + "udad": 25811, + "ellers": 25812, + "}&": 25813, + "licity": 25814, + "_WINDOW": 25815, + "Ġtatto": 25816, + "valor": 25817, + ".Range": 25818, + "Ġreferenced": 25819, + "ĠReserve": 25820, + "Money": 25821, + "874": 25822, + "SCRIPT": 25823, + "/product": 25824, + "choices": 25825, + "Ġtin": 25826, + "ãĤĵ": 25827, + "918": 25828, + "Ġseparator": 25829, + "Ġpkg": 25830, + "ammed": 25831, + "ĠMAT": 25832, + "!!ĊĊ": 25833, + "Ġraid": 25834, + "Ġmotivation": 25835, + "ĠXP": 25836, + "ĠBackground": 25837, + "ĠQuaternion": 25838, + ".defineProperty": 25839, + "iker": 25840, + "ĉparent": 25841, + "ĠOriginally": 25842, + "antage": 25843, + "ĠHans": 25844, + "Ġtimeline": 25845, + ".cur": 25846, + "opic": 25847, + "ĠSequ": 25848, + "must": 25849, + "ĠCoal": 25850, + "Ġformatter": 25851, + "_RGB": 25852, + "Ġ_(\"": 25853, + "'}),Ċ": 25854, + "Ġ=================": 25855, + "ĠFUNCTION": 25856, + "Ġlng": 25857, + "icates": 25858, + "live": 25859, + "_engine": 25860, + "Ġtowns": 25861, + "868": 25862, + "'))ĊĊ": 25863, + "ĠPK": 25864, + "(api": 25865, + "ĉscanf": 25866, + "089": 25867, + "packet": 25868, + ".phone": 25869, + "áĢ": 25870, + "ĠAndy": 25871, + "_NAMES": 25872, + "982": 25873, + "PLY": 25874, + "955": 25875, + "Ġmins": 25876, + "imi": 25877, + "Ġbrick": 25878, + "Ġblade": 25879, + ".stdout": 25880, + "}`;Ċ": 25881, + "Shift": 25882, + "ĉsb": 25883, + "ĠChecks": 25884, + "Ġphenomenon": 25885, + "Avatar": 25886, + "Ġministry": 25887, + "rose": 25888, + "ĉFile": 25889, + "878": 25890, + "Ġtitled": 25891, + "(LOG": 25892, + "Ġgan": 25893, + "design": 25894, + "(),čĊ": 25895, + "Ġbones": 25896, + "stm": 25897, + "ÅĽÄĩ": 25898, + "ĠInputStream": 25899, + "Ġvolunt": 25900, + "ĠSerializable": 25901, + "Ġfighter": 25902, + "ĠDrag": 25903, + "Twitter": 25904, + "Ġsubsid": 25905, + "ç¼": 25906, + "Ġforums": 25907, + ".loading": 25908, + "logged": 25909, + "_this": 25910, + "Ġterrain": 25911, + "Ġirre": 25912, + "ĠIng": 25913, + "ĠCN": 25914, + "_objects": 25915, + ".uid": 25916, + "Ġconsciousness": 25917, + "TINGS": 25918, + "ĠGall": 25919, + "Ġportray": 25920, + "056": 25921, + "ĠDeveloper": 25922, + "Ġparticipant": 25923, + "Ġ\";čĊ": 25924, + "/model": 25925, + "794": 25926, + "ĠOperations": 25927, + "^\\": 25928, + "ĠLater": 25929, + "Ġraises": 25930, + "-none": 25931, + ".meta": 25932, + "='.$": 25933, + "Finished": 25934, + "Ġreplacing": 25935, + "Ġsampling": 25936, + "ĠJen": 25937, + "\"There": 25938, + "REAL": 25939, + "ALE": 25940, + "ìĬ¤": 25941, + "Orders": 25942, + "_parameter": 25943, + "ĠOlympic": 25944, + "Ġtrès": 25945, + "Ġarena": 25946, + "iol": 25947, + ";?>": 25948, + "Ġimpacts": 25949, + "ĠWS": 25950, + ":get": 25951, + "Ġflights": 25952, + "ĠRussell": 25953, + "camera": 25954, + "Fn": 25955, + "sigma": 25956, + "Ġforcing": 25957, + "Ġlocals": 25958, + "Ġdeparture": 25959, + "Ġcelebration": 25960, + "ĠSay": 25961, + "884": 25962, + "ï¼Ĵ": 25963, + "ĠHills": 25964, + ".hasOwnProperty": 25965, + "Ġtypings": 25966, + ".API": 25967, + "Ġdonation": 25968, + "OperationException": 25969, + ".Activity": 25970, + "cplusplus": 25971, + "ĠCharlie": 25972, + "Ġimported": 25973, + "Ġdann": 25974, + "Ġoccasions": 25975, + "Ġimplementing": 25976, + "Ġpurple": 25977, + ".dialog": 25978, + "SQLException": 25979, + "erno": 25980, + "Ġwars": 25981, + "Ġpaste": 25982, + "Ġdecreased": 25983, + "Ġharsh": 25984, + "Ġelabor": 25985, + "inputs": 25986, + "ĠViews": 25987, + "ĠerrorMessage": 25988, + "_mul": 25989, + "ĉwrite": 25990, + "ĠCop": 25991, + "ĠAnnual": 25992, + "(button": 25993, + "Ġvida": 25994, + "bars": 25995, + "ĠHarvard": 25996, + "ĉexpect": 25997, + "Ġindexes": 25998, + "Ġdocumentary": 25999, + "Ġflesh": 26000, + "ORLD": 26001, + "ĠDelta": 26002, + "MAND": 26003, + "Brush": 26004, + "-column": 26005, + "Ġdevelopments": 26006, + "974": 26007, + "783": 26008, + "methodVisitor": 26009, + "slice": 26010, + "ĠPDO": 26011, + "Ġinvesting": 26012, + "867": 26013, + "irable": 26014, + "Ġxmlns": 26015, + "ï¼Ľ": 26016, + "arta": 26017, + "Ġtheories": 26018, + "_city": 26019, + "Ġ$__": 26020, + "Creating": 26021, + "(pr": 26022, + "Dropdown": 26023, + "ismatch": 26024, + "ĠNET": 26025, + "926": 26026, + "'])){Ċ": 26027, + "ĠValues": 26028, + "ĠSEO": 26029, + "ĠSTAT": 26030, + "Ġecosystem": 26031, + "Ġtempt": 26032, + "Ġ\\\\": 26033, + "Ġ//{Ċ": 26034, + "ĠChristopher": 26035, + "ĠKentucky": 26036, + "ĠHttpServletResponse": 26037, + "Ġhybrid": 26038, + "yon": 26039, + "Ġfeeding": 26040, + "ĠExtra": 26041, + "Norm": 26042, + "ITCH": 26043, + "ĠSean": 26044, + "ĠUpload": 26045, + "mun": 26046, + "pur": 26047, + "Ġpersistent": 26048, + "ĠIDC": 26049, + "ĠPerform": 26050, + "863": 26051, + ".merge": 26052, + "_room": 26053, + "Meanwhile": 26054, + "!='": 26055, + "ĠWel": 26056, + "ArgsConstructor": 26057, + "887": 26058, + ".Database": 26059, + "Ġcounting": 26060, + "()*": 26061, + "ĶåĽŀ": 26062, + "ĠTOP": 26063, + "mill": 26064, + "ĠDT": 26065, + "IGNED": 26066, + "956": 26067, + "ĠKB": 26068, + "Ġcomply": 26069, + "South": 26070, + "_collection": 26071, + "Chapter": 26072, + "Ġexplaining": 26073, + "_AM": 26074, + "_ts": 26075, + "cards": 26076, + "Ġquel": 26077, + "Ġpole": 26078, + "Ġtouchdown": 26079, + "ĠOthers": 26080, + "Ġpeers": 26081, + "ĠTypeError": 26082, + "763": 26083, + "Ġsixth": 26084, + "Ġcheer": 26085, + "Ġdispute": 26086, + "963": 26087, + "893": 26088, + "usc": 26089, + ")],": 26090, + "thumb": 26091, + "Ġhiding": 26092, + "ĠSIG": 26093, + "likes": 26094, + "ĠPAGE": 26095, + ".Reflection": 26096, + "Ġheadquarters": 26097, + "TING": 26098, + "ĠGhost": 26099, + "MLE": 26100, + "$Ċ": 26101, + "Ġcontrary": 26102, + "extend": 26103, + "']).": 26104, + "FFECT": 26105, + "ĠPinterest": 26106, + "úmero": 26107, + "ricane": 26108, + "ĉsession": 26109, + "Ġcrystal": 26110, + "-Control": 26111, + "overnment": 26112, + "ograf": 26113, + "961": 26114, + "-action": 26115, + "volume": 26116, + "ften": 26117, + "Ġuncon": 26118, + "Ġanimate": 26119, + "Ġlease": 26120, + "scr": 26121, + "Ġrefuse": 26122, + "ãĢĭ": 26123, + "ftp": 26124, + "information": 26125, + "Ġevaluated": 26126, + "Ġinjection": 26127, + "Ġjack": 26128, + "Ġworkshop": 26129, + "注": 26130, + "PTH": 26131, + "ĠTs": 26132, + "offer": 26133, + "ĉos": 26134, + "Ġkingdom": 26135, + "Missing": 26136, + "Ġlawmakers": 26137, + "extField": 26138, + "Ġsinging": 26139, + "abi": 26140, + "/client": 26141, + ".media": 26142, + "ATEGORY": 26143, + "Signature": 26144, + "%',Ċ": 26145, + "ĠFuck": 26146, + "][:": 26147, + "Ġsensors": 26148, + "/com": 26149, + "ĠPrimary": 26150, + ".SQL": 26151, + "_program": 26152, + "Ġpills": 26153, + "Ġintegral": 26154, + "Ġfleet": 26155, + "Ġdropping": 26156, + ".sl": 26157, + "Been": 26158, + "Ġpets": 26159, + "Ġadvised": 26160, + "Ġdragon": 26161, + "_EDIT": 26162, + "(im": 26163, + "939": 26164, + "FER": 26165, + "ĠDrug": 26166, + "(random": 26167, + "Ġcompression": 26168, + "oust": 26169, + "[%": 26170, + "Ġbuyer": 26171, + "hop": 26172, + "Roles": 26173, + "manage": 26174, + "Ġpainful": 26175, + "ĠBranch": 26176, + "-modal": 26177, + "enant": 26178, + "ĠMesh": 26179, + "/font": 26180, + "ĠGraham": 26181, + "Ġâĺ": 26182, + "Ġnc": 26183, + "ĠFrancis": 26184, + "Ġspecification": 26185, + "Ġdamages": 26186, + "-config": 26187, + "Ġtheoret": 26188, + "secure": 26189, + "_multi": 26190, + "aceutical": 26191, + "Ġdemanding": 26192, + "enne": 26193, + "ISTS": 26194, + "094": 26195, + "()));ĊĊ": 26196, + "Reason": 26197, + "Recent": 26198, + "phase": 26199, + "Ġpsy": 26200, + "_MAN": 26201, + "Ġvolunteer": 26202, + "å¿": 26203, + "istributed": 26204, + "lio": 26205, + "Ġproductivity": 26206, + "_comm": 26207, + "Spring": 26208, + "nis": 26209, + ".weight": 26210, + "ĠCancer": 26211, + "Alloc": 26212, + "ĠTweet": 26213, + "Ġseparately": 26214, + "ĉcheck": 26215, + "_properties": 26216, + ".Unit": 26217, + "829": 26218, + "_CLK": 26219, + "Ġgt": 26220, + "Ġ();ĊĊ": 26221, + "Ġhandy": 26222, + "834": 26223, + "ĠThompson": 26224, + "Ġunnecessary": 26225, + "ĠReader": 26226, + "894": 26227, + "GN": 26228, + "=request": 26229, + "ĠUtility": 26230, + ".Repository": 26231, + "ĠAx": 26232, + "hydr": 26233, + "791": 26234, + "ieu": 26235, + "Ġthy": 26236, + "Ġlt": 26237, + "_mail": 26238, + "ä¿®æĶ¹": 26239, + "ailand": 26240, + "ĠPhilip": 26241, + "Ġbitter": 26242, + "Ġbetting": 26243, + "837": 26244, + "Ġtimed": 26245, + "ocks": 26246, + "076": 26247, + "'a": 26248, + "Ġalgorithms": 26249, + "Ġreinterpret": 26250, + "Ġtoss": 26251, + "rogen": 26252, + "Ġhoped": 26253, + "(selected": 26254, + "Ġventure": 26255, + "TEX": 26256, + "ĠLeave": 26257, + ".Substring": 26258, + "Ġgrateful": 26259, + "743": 26260, + "uka": 26261, + "ĠConsumer": 26262, + "Ġaggreg": 26263, + "Circle": 26264, + "à¸ģ": 26265, + "_blocks": 26266, + "Ġlegally": 26267, + "Ġ\"|": 26268, + "ãĥĥ": 26269, + ".board": 26270, + ".Ab": 26271, + "Functions": 26272, + "recipe": 26273, + "èĩ": 26274, + "ĠOxford": 26275, + "Ġwholes": 26276, + ".Build": 26277, + "_changed": 26278, + "hai": 26279, + "Ġdepartments": 26280, + "964": 26281, + "Imp": 26282, + "Ġcoalition": 26283, + "INFRINGEMENT": 26284, + "Ġempower": 26285, + "itches": 26286, + "North": 26287, + "Ġinflamm": 26288, + "ONSE": 26289, + "Ġmissile": 26290, + "ĠRaj": 26291, + "ĠIssue": 26292, + "Ġatoi": 26293, + "caled": 26294, + ".Controllers": 26295, + "ĠWolf": 26296, + "Ġcrushers": 26297, + "á»ĩ": 26298, + ".Auth": 26299, + ".addAttribute": 26300, + "his": 26301, + "Ġboots": 26302, + ".clean": 26303, + "camp": 26304, + "Ġtenant": 26305, + "Ġtune": 26306, + "Ġ{}'.": 26307, + "Ġworkout": 26308, + "Repo": 26309, + "Ġpartially": 26310, + "MISSION": 26311, + "jamin": 26312, + "ĠSB": 26313, + "Ġdetermination": 26314, + "Ġ'');Ċ": 26315, + "ĠBeng": 26316, + "Ġvos": 26317, + "Ġinhab": 26318, + "/lang": 26319, + "sburgh": 26320, + "Executor": 26321, + "hone": 26322, + "ĠChallenge": 26323, + "_links": 26324, + ".Level": 26325, + "Ġunderground": 26326, + "-code": 26327, + "959": 26328, + "Ġoptimization": 26329, + "logging": 26330, + "_dest": 26331, + "Ġsnake": 26332, + "Ġchemicals": 26333, + "_IMPORTED": 26334, + "adoop": 26335, + "ĠTHAT": 26336, + "managed": 26337, + "Ġreduces": 26338, + "ĠREAL": 26339, + "ĠGuy": 26340, + "_GENERIC": 26341, + "/********************************": 26342, + ".amount": 26343, + "Ġdere": 26344, + "getTime": 26345, + "Ġpant": 26346, + "anonymous": 26347, + "Ġharmony": 26348, + "ĠAlan": 26349, + "Ġscenarios": 26350, + "Ġdirt": 26351, + "htags": 26352, + "Mc": 26353, + "Shell": 26354, + "rin": 26355, + "{čĊčĊ": 26356, + ".pow": 26357, + "ĉclient": 26358, + "Ġconspiracy": 26359, + "Ġadmission": 26360, + "ĠRegional": 26361, + "ĠViewController": 26362, + "ĠPhilippines": 26363, + "Ġdepos": 26364, + "Ġpap": 26365, + "962": 26366, + "ĠPad": 26367, + "Paul": 26368, + ".ComboBox": 26369, + "Ġtutor": 26370, + "ĠRecipe": 26371, + "writing": 26372, + "Ġcontributor": 26373, + "OTH": 26374, + "Small": 26375, + "VI": 26376, + "Ġhacer": 26377, + "equ": 26378, + "ĠExamples": 26379, + "human": 26380, + ".messages": 26381, + "ĉtyp": 26382, + "Ġ(čĊ": 26383, + "ĠSSL": 26384, + "LEN": 26385, + "ĠRomney": 26386, + "(grid": 26387, + "ĉmin": 26388, + "Ġ>ĊĊ": 26389, + "Ġfruits": 26390, + "Ġvoter": 26391, + "Inline": 26392, + "pane": 26393, + "ĠCollections": 26394, + "charset": 26395, + "Ġspam": 26396, + "zb": 26397, + "itemap": 26398, + "Ġsucceeded": 26399, + "_COL": 26400, + "Ġelapsed": 26401, + "imeter": 26402, + "Ġrecovered": 26403, + "Tensor": 26404, + "hattan": 26405, + ".setup": 26406, + "isto": 26407, + "(head": 26408, + "977": 26409, + "ĠSIZE": 26410, + "Ġtactics": 26411, + "Ġdistur": 26412, + "Ġpreval": 26413, + "icios": 26414, + "(Value": 26415, + "_cols": 26416, + "ĠFat": 26417, + "Ġseal": 26418, + "Ġsons": 26419, + "Ġensures": 26420, + "095": 26421, + "Ġpressing": 26422, + "=&": 26423, + "igenous": 26424, + "Ġharassment": 26425, + "_JSON": 26426, + "Ġignor": 26427, + "ynomial": 26428, + "omer": 26429, + "_static": 26430, + "Ġsignificance": 26431, + "Ġcircles": 26432, + "_System": 26433, + "Ġdiscipline": 26434, + "Ġdressed": 26435, + "Ġsphere": 26436, + "927": 26437, + "Ġclimb": 26438, + "759": 26439, + "_actions": 26440, + "ĠBab": 26441, + "Ġ'=',": 26442, + "_schema": 26443, + "\"use": 26444, + "Ġunders": 26445, + "Ġcups": 26446, + ".screen": 26447, + "/new": 26448, + "Ġappearing": 26449, + "TOP": 26450, + "vised": 26451, + "clang": 26452, + "Ġinvestigators": 26453, + "Ġmysterious": 26454, + "Ġpromising": 26455, + "Ġqualify": 26456, + "Ġcave": 26457, + "Ġequip": 26458, + "=x": 26459, + "GT": 26460, + "(link": 26461, + ".velocity": 26462, + ".erase": 26463, + "oter": 26464, + "++++++++": 26465, + "profit": 26466, + "Ġzones": 26467, + "_uid": 26468, + "-ser": 26469, + "Ġobjectives": 26470, + "Ġmilf": 26471, + "webkit": 26472, + "(match": 26473, + "neh": 26474, + "ĠAssociated": 26475, + "ĠTodo": 26476, + "=d": 26477, + "065": 26478, + "Cam": 26479, + "Ġvocal": 26480, + "Ġsudo": 26481, + "(EX": 26482, + "Ġtrou": 26483, + "ABC": 26484, + ".bean": 26485, + "ĠGround": 26486, + "ĠREST": 26487, + "weets": 26488, + "Ing": 26489, + "imon": 26490, + "946": 26491, + "_bus": 26492, + "ĠCOLOR": 26493, + "unto": 26494, + "Ġfoss": 26495, + "ĠLinks": 26496, + "869": 26497, + "äng": 26498, + "/forms": 26499, + "prises": 26500, + "Ġachievement": 26501, + "CALL": 26502, + "елÑĮ": 26503, + "ĠVerify": 26504, + "_SOURCE": 26505, + "aptcha": 26506, + "IDD": 26507, + "_reference": 26508, + "Gold": 26509, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 26510, + "947": 26511, + "Receiver": 26512, + "099": 26513, + "Ġaj": 26514, + "_direction": 26515, + "}]": 26516, + "ĠCompet": 26517, + "Ġbang": 26518, + "798": 26519, + "ĠCass": 26520, + "-url": 26521, + "techn": 26522, + "ĠJerusalem": 26523, + "longitude": 26524, + "');čĊčĊ": 26525, + "Ġwinners": 26526, + "Tasks": 26527, + "ĠDMA": 26528, + "Ġtooltip": 26529, + "İ·": 26530, + "ĠBra": 26531, + "_duration": 26532, + "cury": 26533, + "parents": 26534, + "---->(": 26607, + "ĠKir": 26608, + "Ġintros": 26609, + "Ġsketch": 26610, + "Ġskilled": 26611, + "Ġimmer": 26612, + "Ġadequate": 26613, + "_rep": 26614, + "(header": 26615, + "_like": 26616, + "Ġperceived": 26617, + "ssh": 26618, + "Ġassuming": 26619, + "Ġff": 26620, + "_uuid": 26621, + "ulas": 26622, + "Ġdemocratic": 26623, + ".entities": 26624, + "Series": 26625, + "aphore": 26626, + "Ġnewer": 26627, + "}(": 26628, + "SEC": 26629, + "airo": 26630, + "Ġcommod": 26631, + "Ġprivilege": 26632, + "Ġdeux": 26633, + "ĠHop": 26634, + ".'/": 26635, + "ctic": 26636, + ".';Ċ": 26637, + "C": 26712, + "ĠWarren": 26713, + "Ġoptimizer": 26714, + "ĠSERVICES": 26715, + "_oper": 26716, + "getAttribute": 26717, + "ĠMcK": 26718, + "_self": 26719, + "084": 26720, + ".rs": 26721, + "\")ĊĊĊ": 26722, + "GetComponent": 26723, + "erce": 26724, + "Ġtous": 26725, + "units": 26726, + "']);čĊ": 26727, + "Zoom": 26728, + "/E": 26729, + "Ġobsc": 26730, + "Ġfastest": 26731, + "online": 26732, + "Ġpeaceful": 26733, + "ffen": 26734, + "Ġcargo": 26735, + "ĉpr": 26736, + "Ġseeks": 26737, + "zu": 26738, + "074": 26739, + "Trim": 26740, + "Ġward": 26741, + "Ġverd": 26742, + "Ġblogs": 26743, + ".exceptions": 26744, + "ĠPremium": 26745, + "ĠNetherlands": 26746, + "Safe": 26747, + "Finish": 26748, + "ĠAlbum": 26749, + "_ACC": 26750, + "=this": 26751, + "virtual": 26752, + "]>": 26753, + "_LABEL": 26754, + "ĠNich": 26755, + "_win": 26756, + "ĠAaron": 26757, + "WP": 26758, + ";$": 26759, + "aims": 26760, + "ĠImageView": 26761, + "Ġendless": 26762, + "ERA": 26763, + "_DISABLE": 26764, + "Ġcancelled": 26765, + "-us": 26766, + "Ġinspection": 26767, + "emin": 26768, + "ĠGrey": 26769, + "-open": 26770, + "Ġiterations": 26771, + ".owner": 26772, + "Ġkeras": 26773, + ".Password": 26774, + "ĠRy": 26775, + "ĠINS": 26776, + "Air": 26777, + "ĠSeveral": 26778, + ".TabStop": 26779, + "INGLE": 26780, + "ĠHair": 26781, + "ĠCanvas": 26782, + "AAAA": 26783, + "Ġflaw": 26784, + "cedes": 26785, + ".Report": 26786, + "íĬ": 26787, + "ĠTips": 26788, + "criptors": 26789, + ".transaction": 26790, + ".Spring": 26791, + "Ġviewer": 26792, + "Ġinsights": 26793, + "è¾ĵ": 26794, + "ordion": 26795, + "UINT": 26796, + "seek": 26797, + "ĠAuf": 26798, + "ìŀIJ": 26799, + "Ġstrain": 26800, + "Tooltip": 26801, + "Ġdz": 26802, + "ignal": 26803, + "adt": 26804, + "Ġuc": 26805, + "finite": 26806, + "Ġnm": 26807, + ".cmd": 26808, + "ĠMySql": 26809, + "[data": 26810, + ".jackson": 26811, + ".tree": 26812, + "RequestParam": 26813, + "_agent": 26814, + "\")]čĊ": 26815, + "Ġassass": 26816, + "(Constants": 26817, + ":ss": 26818, + "ĠMAN": 26819, + "+-+-": 26820, + "ĠBottom": 26821, + "prints": 26822, + "ĠSame": 26823, + "@Autowired": 26824, + "swap": 26825, + "ición": 26826, + "Ġprotesters": 26827, + "Ġhoney": 26828, + "ĠVeter": 26829, + "(Calendar": 26830, + "-ad": 26831, + "ĠBrooklyn": 26832, + "Life": 26833, + "_VAR": 26834, + "zech": 26835, + "ĠCALL": 26836, + "_CAST": 26837, + "ĠElection": 26838, + "Ġthickness": 26839, + "Very": 26840, + "_INTEGER": 26841, + "-dev": 26842, + "))))": 26843, + "apat": 26844, + "oooo": 26845, + "demo": 26846, + "ĠparseFloat": 26847, + "ĠRather": 26848, + "STIT": 26849, + "maker": 26850, + "[current": 26851, + "chrono": 26852, + "Ġchrist": 26853, + "ãģª": 26854, + "ĠDetail": 26855, + "Æ°á»": 26856, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 26857, + "Ġsul": 26858, + "idency": 26859, + "Que": 26860, + "Ġelegant": 26861, + "apons": 26862, + "Ġdishes": 26863, + "Ġintegers": 26864, + "(read": 26865, + "057": 26866, + "findViewById": 26867, + "ĠAmount": 26868, + "ĠSkip": 26869, + "Ġhabits": 26870, + "*)(": 26871, + "Ġmonsters": 26872, + "MAC": 26873, + ":end": 26874, + "Ġfrank": 26875, + "Assembly": 26876, + "Ġdfs": 26877, + "Ġneut": 26878, + "_TYPES": 26879, + "equal": 26880, + "loyd": 26881, + "(uri": 26882, + "Ġchi": 26883, + "Ġdefendant": 26884, + "Ġconflicts": 26885, + "Ġvil": 26886, + "-js": 26887, + "ĠPeace": 26888, + "Ġmutable": 26889, + ")sender": 26890, + "ĠFocus": 26891, + "建": 26892, + "Ġappreciated": 26893, + "sleep": 26894, + "ĠRED": 26895, + "Culture": 26896, + "Ġdesigners": 26897, + "_generator": 26898, + "codes": 26899, + "/ex": 26900, + ".GetValue": 26901, + "umbled": 26902, + ".scalajs": 26903, + "peror": 26904, + "Ġveterans": 26905, + "Ġ})čĊ": 26906, + "Ġunfortunately": 26907, + "_CREATE": 26908, + "Mass": 26909, + "ĠCLAIM": 26910, + "ĠMeet": 26911, + "_support": 26912, + "Bank": 26913, + "().Ċ": 26914, + "Dark": 26915, + "_LOW": 26916, + "ĠMining": 26917, + "ĠOwner": 26918, + "iera": 26919, + "Cliente": 26920, + "Ġencouraging": 26921, + ">S": 26922, + "Ġboyfriend": 26923, + "ĠHalf": 26924, + "ĠACC": 26925, + "Aff": 26926, + "_ar": 26927, + "-life": 26928, + "cx": 26929, + ".JButton": 26930, + "izado": 26931, + ".zero": 26932, + ".openqa": 26933, + "oton": 26934, + ".textContent": 26935, + "Ġtoll": 26936, + "atie": 26937, + "Ġballot": 26938, + "-number": 26939, + ".Exception": 26940, + "ĉparams": 26941, + "circle": 26942, + "-map": 26943, + "Ġnap": 26944, + "ĠRobot": 26945, + "ĠIch": 26946, + "registration": 26947, + "Amazon": 26948, + "rollment": 26949, + "(exp": 26950, + "Ġtanks": 26951, + "ĠGordon": 26952, + "Ġmachinery": 26953, + "Ġbaseline": 26954, + "æĭ": 26955, + "086": 26956, + "Ø©": 26957, + "ĠConvention": 26958, + "ĉconfig": 26959, + "ookies": 26960, + "mult": 26961, + "Records": 26962, + "ĠEST": 26963, + "Ġgarbage": 26964, + "Ġconform": 26965, + "idal": 26966, + "Ġbarg": 26967, + "Ġsurvived": 26968, + "Ġinvestigations": 26969, + "935": 26970, + ".containsKey": 26971, + "--------------------------------------------------------------------------Ċ": 26972, + "ortion": 26973, + "Ġhorr": 26974, + "_http": 26975, + "Ġmant": 26976, + "];čĊčĊ": 26977, + "binary": 26978, + "948": 26979, + "empl": 26980, + "Ġinquiry": 26981, + "ĠMeanwhile": 26982, + "098": 26983, + "Ġcollecting": 26984, + ".EntityFramework": 26985, + "\",ĊĊ": 26986, + "ĠPic": 26987, + "@Inject": 26988, + "ickness": 26989, + "ĠBinding": 26990, + "Ġcontrolling": 26991, + "reverse": 26992, + "Ġchairs": 26993, + "sembled": 26994, + "(add": 26995, + "Disabled": 26996, + "anas": 26997, + ".translate": 26998, + "-----------Ċ": 26999, + "Ġreflected": 27000, + "\"]ĊĊ": 27001, + "External": 27002, + "Arrow": 27003, + "Singleton": 27004, + "%x": 27005, + "ĠÅ": 27006, + "Ġancest": 27007, + "ĠOrleans": 27008, + "ĉcmd": 27009, + "Ġprohibited": 27010, + "ithmetic": 27011, + "(channel": 27012, + "_css": 27013, + "Forward": 27014, + ".socket": 27015, + "Ġluc": 27016, + "âĨ": 27017, + "ĠFirefox": 27018, + "ĠMovies": 27019, + ")_": 27020, + ".ends": 27021, + "(shape": 27022, + "Ġdealt": 27023, + "Ġsaves": 27024, + "Ġglory": 27025, + "Ġmejor": 27026, + "Ġbreathing": 27027, + "Ġeller": 27028, + "getData": 27029, + "Ġangles": 27030, + "Ġtoolbar": 27031, + "Ġspacing": 27032, + "059": 27033, + "IPS": 27034, + "Ġfloors": 27035, + "_ACTIVE": 27036, + "Ġshuffle": 27037, + "/shared": 27038, + "ĠEle": 27039, + "edish": 27040, + "Ġwebcam": 27041, + ".expect": 27042, + "iloc": 27043, + "ĠIncludes": 27044, + "Ġtweeted": 27045, + "Ġ:)": 27046, + "ĠEssay": 27047, + "Fix": 27048, + "-between": 27049, + "_web": 27050, + ".conv": 27051, + "Ġracism": 27052, + "Ġreflects": 27053, + "umm": 27054, + "иÑĤе": 27055, + "_footer": 27056, + "/docs": 27057, + "ĠPour": 27058, + "NgModule": 27059, + ".initialize": 27060, + "patterns": 27061, + "_In": 27062, + "ĠAbb": 27063, + "*čĊ": 27064, + "Ġsentiment": 27065, + "buff": 27066, + "_counts": 27067, + "Ġreuse": 27068, + "chunk": 27069, + "Ġimposed": 27070, + "PrimaryKey": 27071, + "Foreground": 27072, + "Ġconsumed": 27073, + "?!": 27074, + "Ġdick": 27075, + "Ġchron": 27076, + "ĠFern": 27077, + "Ġresponsive": 27078, + "958": 27079, + "Ġinsect": 27080, + "iculty": 27081, + "Ġrw": 27082, + "Ġalike": 27083, + "Ġsubset": 27084, + "ĠCookies": 27085, + "ĠPair": 27086, + "Ġtier": 27087, + "IFO": 27088, + "avour": 27089, + "ĠQU": 27090, + ",sizeof": 27091, + "Ġmerged": 27092, + "mv": 27093, + "itol": 27094, + "ylon": 27095, + "Ġjumped": 27096, + ".role": 27097, + "ensaje": 27098, + "Rules": 27099, + "Ġbrowse": 27100, + "Animator": 27101, + "Ġyoga": 27102, + "Ġvariants": 27103, + "Ġcourtesy": 27104, + "uran": 27105, + "pbs": 27106, + "elseif": 27107, + "Alt": 27108, + "ĠLane": 27109, + "CLK": 27110, + "IMARY": 27111, + "_PROPERTY": 27112, + "ï¼IJ": 27113, + "Ġchan": 27114, + "Ġgradually": 27115, + "Ġshake": 27116, + "Ġblonde": 27117, + "...\");Ċ": 27118, + "-sex": 27119, + "Ġgameplay": 27120, + "acies": 27121, + ".refresh": 27122, + "USB": 27123, + "ĠPlot": 27124, + "Was": 27125, + "issippi": 27126, + "ĠTensor": 27127, + "Ġcryptocurrency": 27128, + "Ġdifficulties": 27129, + "Deleted": 27130, + "Without": 27131, + "_append": 27132, + "_ver": 27133, + "967": 27134, + "\"))čĊ": 27135, + "Ġhonestly": 27136, + "Ġpivot": 27137, + "Ġtemps": 27138, + "_ps": 27139, + "ĠUnlike": 27140, + "[:-": 27141, + "VS": 27142, + "_inf": 27143, + "Ġjunior": 27144, + "Ġanimations": 27145, + "Ġfilepath": 27146, + "?{{$": 27168, + "Ġunicode": 27169, + "places": 27170, + "ĠCoffee": 27171, + ".SE": 27172, + "ĠPAR": 27173, + "(txt": 27174, + "gebra": 27175, + "Ġfires": 27176, + "MainWindow": 27177, + "medium": 27178, + "Ġ(âĢľ": 27179, + "Ġlg": 27180, + "Ġcmp": 27181, + "/base": 27182, + "_layers": 27183, + "_entries": 27184, + "Ġadminister": 27185, + "ĠSUCH": 27186, + "BP": 27187, + "ĠScottish": 27188, + "ĉčĊĉčĊ": 27189, + "guard": 27190, + "ĠStrong": 27191, + "Insn": 27192, + "ĠCAP": 27193, + "asury": 27194, + "ĠSEE": 27195, + "Clock": 27196, + "erie": 27197, + "\\models": 27198, + "Ġ$$": 27199, + "ĠCab": 27200, + "Ġwurde": 27201, + "Ġsoldier": 27202, + "Ġclips": 27203, + "Ġarrangement": 27204, + "ĠWonder": 27205, + "ĠHorn": 27206, + "Ġscared": 27207, + "Ġcure": 27208, + "mkdir": 27209, + "Ġaligned": 27210, + "ĠPink": 27211, + "Ġlanded": 27212, + "Dimension": 27213, + "ScrollPane": 27214, + ".chat": 27215, + ".With": 27216, + "ĠTrain": 27217, + "].Ċ": 27218, + "Ġthirty": 27219, + "Ġdurable": 27220, + "Ġld": 27221, + "Ġlateinit": 27222, + "Ġcharts": 27223, + "Ġinsult": 27224, + ".Fatal": 27225, + "_ct": 27226, + "Ġmasks": 27227, + "CLUDED": 27228, + "President": 27229, + "Ġcolours": 27230, + "gments": 27231, + ".attributes": 27232, + "ĠFlex": 27233, + "ĠClock": 27234, + "ÃŃcul": 27235, + "imen": 27236, + "JO": 27237, + "ĠRegex": 27238, + "_LINK": 27239, + "Ġcouch": 27240, + "ĠINPUT": 27241, + "Ġbeating": 27242, + "business": 27243, + "preced": 27244, + ".unit": 27245, + "ĠFel": 27246, + "Never": 27247, + "ospel": 27248, + ".startswith": 27249, + "ĠEPA": 27250, + ".only": 27251, + "Ġpreventing": 27252, + "yer": 27253, + "ColumnName": 27254, + "Ġelevation": 27255, + "flu": 27256, + "icycle": 27257, + "Ġoffline": 27258, + "Toolbar": 27259, + "Ġcompeting": 27260, + ")].": 27261, + "Ġmog": 27262, + "ĠisValid": 27263, + "Ask": 27264, + "_av": 27265, + "_lat": 27266, + "ANC": 27267, + "ĠJoh": 27268, + "kers": 27269, + "Ġguards": 27270, + "Ġchains": 27271, + "ĠSimpleDateFormat": 27272, + ".static": 27273, + "Ġvessel": 27274, + "Ġmud": 27275, + "Ġstabil": 27276, + "Ġstret": 27277, + "gm": 27278, + "amation": 27279, + "çľ": 27280, + "-with": 27281, + "Ġros": 27282, + "_PA": 27283, + "Ġresultado": 27284, + "Ġconfidential": 27285, + "ĠTokyo": 27286, + "ĉusing": 27287, + "ĠMathf": 27288, + "ombine": 27289, + "ĠESPN": 27290, + "Ġdealers": 27291, + "Ġdismissed": 27292, + "TRY": 27293, + "Ġteens": 27294, + "records": 27295, + "Ġwings": 27296, + "gallery": 27297, + "accounts": 27298, + "_LIB": 27299, + "Ġjacket": 27300, + "ĠNSObject": 27301, + "Ġstones": 27302, + "ĠDelivery": 27303, + "ĠDiet": 27304, + "/watch": 27305, + "Ġtoilet": 27306, + "ĠGuest": 27307, + ".day": 27308, + "067": 27309, + "Ġintval": 27310, + "087": 27311, + "Visit": 27312, + "Ġinvestigated": 27313, + "Ġpentru": 27314, + "ĠTheatre": 27315, + "andidates": 27316, + "Lang": 27317, + "ĠServ": 27318, + "Ġcontrollers": 27319, + "ĠsetTitle": 27320, + "NP": 27321, + "amy": 27322, + "flat": 27323, + "(ui": 27324, + "069": 27325, + "_document": 27326, + "èĥ½": 27327, + "ĠCoin": 27328, + "ĠAdams": 27329, + "ptic": 27330, + "Ġproductive": 27331, + "Ġaccomplished": 27332, + "čĊčĊčĊčĊ": 27333, + "Ġdeferred": 27334, + "ientes": 27335, + "Ġsinc": 27336, + "olars": 27337, + "Rightarrow": 27338, + "Ġvariations": 27339, + "(offset": 27340, + "957": 27341, + ".LayoutInflater": 27342, + "Ġsuspend": 27343, + "Ġprevention": 27344, + "_private": 27345, + "_js": 27346, + "âĺħ": 27347, + "Ġwieder": 27348, + "atum": 27349, + "ĴĮ": 27350, + "Ġappearances": 27351, + ".Document": 27352, + "Ġvalidates": 27353, + "calendar": 27354, + "}\";Ċ": 27355, + ".demo": 27356, + "conut": 27357, + "Ġcorrection": 27358, + "ĠDeal": 27359, + "Ġbatteries": 27360, + ".duration": 27361, + ",\\": 27362, + "_marker": 27363, + "multi": 27364, + "Ġhalt": 27365, + "Ġcms": 27366, + "Ġshaped": 27367, + "Bro": 27368, + "reduce": 27369, + "Ġ####": 27370, + "CTOR": 27371, + "ĠBenef": 27372, + "Ġiconic": 27373, + "Ġpiano": 27374, + "Ġeffectiveness": 27375, + "|.Ċ": 27376, + "Ġajax": 27377, + "Ġvolumes": 27378, + "ม": 27379, + "Ġcljs": 27380, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 27381, + "aths": 27382, + "raits": 27383, + "大": 27384, + "Ñĸ": 27385, + "_mult": 27386, + "Ġfascinating": 27387, + "Average": 27388, + "Ġpré": 27389, + "ĠChairman": 27390, + ".findElement": 27391, + "_pin": 27392, + "Ġcomparing": 27393, + "Ġdarkness": 27394, + "-Fi": 27395, + "-server": 27396, + "Ġselecting": 27397, + "sterdam": 27398, + "ĠParts": 27399, + "FORMATION": 27400, + "Ġnoting": 27401, + "Ġpile": 27402, + "ogs": 27403, + "Ġpalette": 27404, + "_do": 27405, + "itize": 27406, + "079": 27407, + "()(": 27408, + "Ġdefining": 27409, + "Ġremainder": 27410, + "Units": 27411, + "_TASK": 27412, + "HttpClient": 27413, + "Social": 27414, + "Ġfundra": 27415, + "NR": 27416, + "chest": 27417, + "Currency": 27418, + ".adapter": 27419, + "Ġdop": 27420, + "unting": 27421, + "ANGUAGE": 27422, + "\"He": 27423, + "ĉindex": 27424, + "_package": 27425, + ".Icon": 27426, + "Ġrepet": 27427, + "mass": 27428, + "=\".$": 27429, + "ĠSud": 27430, + "Ġlid": 27431, + "province": 27432, + "ìľ": 27433, + "GPIO": 27434, + "Ðļ": 27435, + "ĠMySQL": 27436, + "Ġdocs": 27437, + "ĠGA": 27438, + "Ġipsum": 27439, + "Kernel": 27440, + "Ġaccepts": 27441, + "Ġfitting": 27442, + "Ġcuando": 27443, + "Ġduplic": 27444, + "ĠBrother": 27445, + "ĠKle": 27446, + "nums": 27447, + "Ġmorph": 27448, + "Ġ########": 27449, + "ĠCGPoint": 27450, + "manual": 27765, + "ĠTechnical": 27766, + "Ġcorporation": 27767, + "ĠHW": 27768, + "anka": 27769, + "TAIL": 27770, + "istas": 27771, + "Ġperforms": 27772, + "ĠBehavior": 27773, + ".For": 27774, + "_ORDER": 27775, + "ĠKick": 27776, + "Ġcallbacks": 27777, + "_dr": 27778, + "uego": 27779, + "hub": 27780, + "ufficient": 27781, + "sky": 27782, + "Ġbp": 27783, + "htable": 27784, + "ĠONLY": 27785, + "ĠAUTHORS": 27786, + ".Argument": 27787, + "\"};Ċ": 27788, + "ĠThunder": 27789, + "ĠKom": 27790, + ".Should": 27791, + "AUTH": 27792, + "ahu": 27793, + "_payment": 27794, + "Ġstarter": 27795, + "ìĦľ": 27796, + "ìļ©": 27797, + "Blog": 27798, + ".patch": 27799, + "Ġgoverned": 27800, + "assy": 27801, + "-found": 27802, + "Ġtheater": 27803, + "ĠFontWeight": 27804, + "ĠBatman": 27805, + "\"If": 27806, + ".Random": 27807, + "_delta": 27808, + "ĠCE": 27809, + "Authenticated": 27810, + "Ġdrone": 27811, + "Ġcous": 27812, + "radius": 27813, + "Mer": 27814, + "(None": 27815, + "ĠNJ": 27816, + "_headers": 27817, + "Ġamer": 27818, + "pytest": 27819, + "ĠActions": 27820, + "ĉĉĉĠĠĠĠ": 27821, + "Ġett": 27822, + "Ġholy": 27823, + "Ġuncomfort": 27824, + "ĠNin": 27825, + "ĠDecimal": 27826, + "ĠMessages": 27827, + ".sender": 27828, + "]])Ċ": 27829, + "Ġembrace": 27830, + "Though": 27831, + "/sp": 27832, + "Ġcultures": 27833, + "Ġhighway": 27834, + "tar": 27835, + ".fail": 27836, + "_hidden": 27837, + "ĠcomponentDidMount": 27838, + "ĠWright": 27839, + "Ġjag": 27840, + "_il": 27841, + "../../../": 27842, + "igu": 27843, + "Food": 27844, + "Ġace": 27845, + "Ġaños": 27846, + "USD": 27847, + "Ġmutual": 27848, + "Logic": 27849, + "Ġtemple": 27850, + "Ġbriefly": 27851, + "ĠTrip": 27852, + "classmethod": 27853, + "defaults": 27854, + "Ġchunks": 27855, + ",,,,": 27856, + "ĠReason": 27857, + "$id": 27858, + "-ups": 27859, + "Ġdamn": 27860, + "Ġtrucks": 27861, + "Ġunlimited": 27862, + "Ġsculpt": 27863, + "ĠCards": 27864, + "Ġautor": 27865, + "ĠTesting": 27866, + "Ġdiese": 27867, + "shops": 27868, + "ç´": 27869, + "(payload": 27870, + "ĠPATH": 27871, + "ĠMemorial": 27872, + "Ġridiculous": 27873, + "egree": 27874, + "-winning": 27875, + "Ġrehab": 27876, + "Ġsophisticated": 27877, + "wpdb": 27878, + "ĉpath": 27879, + "!\";Ċ": 27880, + "_SYS": 27881, + ".speed": 27882, + "Ġsoap": 27883, + "suffix": 27884, + "Wrap": 27885, + "Ġenhancement": 27886, + "Ãī": 27887, + "úb": 27888, + "Ġplaylist": 27889, + "Ġmixing": 27890, + "antidad": 27891, + "=\"\";Ċ": 27892, + "ĠRevision": 27893, + "ĠBeat": 27894, + ".inc": 27895, + "-way": 27896, + "encias": 27897, + "ulers": 27898, + "Cat": 27899, + "idel": 27900, + "ĠShip": 27901, + ".setColor": 27902, + "Ġthreatening": 27903, + ".modules": 27904, + "Ġafterwards": 27905, + "ĠDashboard": 27906, + "ĊĠĊ": 27907, + "Signal": 27908, + "Ġprimer": 27909, + "orneys": 27910, + "iciary": 27911, + "Ġligne": 27912, + "_predict": 27913, + "Ġaest": 27914, + "_https": 27915, + ">:": 27916, + "ĠLex": 27917, + "Ġrencontres": 27918, + "egral": 27919, + "scala": 27920, + "_family": 27921, + "ÃŁen": 27922, + "_sym": 27923, + "Ġuncertainty": 27924, + "ĠVALUE": 27925, + "Ġ};čĊčĊ": 27926, + "Ġbroader": 27927, + "Ġhorses": 27928, + "ãģĿ": 27929, + "ĠKal": 27930, + "oba": 27931, + "_INET": 27932, + "ĠKill": 27933, + "jquery": 27934, + "amination": 27935, + "[@\"": 27936, + "Ġmuj": 27937, + "###Ċ": 27938, + "FirstOrDefault": 27939, + "thenReturn": 27940, + "Che": 27941, + "/footer": 27942, + "Ġparks": 27943, + "asje": 27944, + "ĠGulf": 27945, + "Ġmodest": 27946, + ".Init": 27947, + "ï¼ŁĊĊ": 27948, + "Ġprospects": 27949, + "Ġsvg": 27950, + "Ġåı": 27951, + ".Dialog": 27952, + "_NET": 27953, + "Ġ(($": 27954, + "Ġek": 27955, + "ĠWarning": 27956, + "ĠMK": 27957, + "": 28265, + "ĠRepair": 28266, + "_BE": 28267, + "Brand": 28268, + "uart": 28269, + "preview": 28270, + "Ġinitiatives": 28271, + "running": 28272, + "bang": 28273, + "ĉupdate": 28274, + "ĠCoach": 28275, + "Rich": 28276, + "Ġyoutube": 28277, + "Ġritual": 28278, + "appa": 28279, + "ĠRobinson": 28280, + "precision": 28281, + "////////////////////////////////////////////////////////////////////////////": 28282, + "=[]Ċ": 28283, + "Ġcelebrated": 28284, + "OTO": 28285, + "Ġinclusion": 28286, + "JP": 28287, + "';čĊčĊ": 28288, + "Ġnotable": 28289, + "(_.": 28290, + "Managed": 28291, + "Ġguides": 28292, + " ": 28293, + "atedRoute": 28294, + "ĠAdjust": 28295, + "Ġcolored": 28296, + "_scores": 28297, + "ĠTesla": 28298, + "_progress": 28299, + ".inst": 28300, + "['_": 28301, + ".flags": 28302, + "Ġfclose": 28303, + "_OPER": 28304, + "ży": 28305, + "_note": 28306, + "Ġtransgender": 28307, + "åķ": 28308, + "RIPT": 28309, + "Ġabsent": 28310, + "Ġamet": 28311, + "Ġoperand": 28312, + "ë©": 28313, + "Ġhood": 28314, + "toLowerCase": 28315, + "avo": 28316, + "ĠCircuit": 28317, + "ĠLind": 28318, + "--}}Ċ": 28319, + "=m": 28320, + "Ġsuppress": 28321, + "ĠMAP": 28322, + "iang": 28323, + "-admin": 28324, + "Ġsidebar": 28325, + "ĠBu": 28326, + "ĠHex": 28327, + ",F": 28328, + "ĠSignal": 28329, + "Ġtransparency": 28330, + "ĠFederation": 28331, + "/V": 28332, + "Req": 28333, + "Ġpulse": 28334, + "Ġtends": 28335, + "Numbers": 28336, + "%'": 28337, + "Ġdeport": 28338, + "datas": 28339, + "_UINT": 28340, + "_tra": 28341, + "oko": 28342, + "Ġ\"?": 28343, + "compet": 28344, + "solete": 28345, + "undry": 28346, + "Ġoverlap": 28347, + "}`,Ċ": 28348, + ".ly": 28349, + "_summary": 28350, + "ĠLost": 28351, + ".Center": 28352, + "Ġdisability": 28353, + ".Serialization": 28354, + "Ġgeom": 28355, + "Ġ?:": 28356, + "ĠWo": 28357, + "Ġshipped": 28358, + "Ĥæķ°": 28359, + "Ġugly": 28360, + "Ġexcitement": 28361, + "Ġexterior": 28362, + "Ġcheckout": 28363, + "Ġkur": 28364, + ",D": 28365, + "ĠAlaska": 28366, + "Ġsynthetic": 28367, + "ĠBudget": 28368, + "ĠSubscribe": 28369, + "Ġ&Ċ": 28370, + "ÈĻi": 28371, + "ĠYu": 28372, + "ĉquery": 28373, + "}.Ċ": 28374, + "Ġtraged": 28375, + "assen": 28376, + "Ġaccommodation": 28377, + "Ġphysician": 28378, + "Ġrenamed": 28379, + "Ġtidak": 28380, + "zÄħ": 28381, + "Ġminus": 28382, + "nych": 28383, + "097": 28384, + "_EXCEPTION": 28385, + "threads": 28386, + "Ġtire": 28387, + "_created": 28388, + "ensure": 28389, + "Ġworthy": 28390, + "Ġexcuse": 28391, + "Ġcloth": 28392, + ".parentNode": 28393, + "/platform": 28394, + "ĠUFC": 28395, + "ĠGtk": 28396, + "unny": 28397, + "Ġgibt": 28398, + "keley": 28399, + "hum": 28400, + "(tx": 28401, + "ĉdev": 28402, + "Ġoutfit": 28403, + "doors": 28404, + "Ġfon": 28405, + "icut": 28406, + "volatile": 28407, + "Ġhomosex": 28408, + "Maximum": 28409, + "Ġexpend": 28410, + "Ġ});ĊĊĊ": 28411, + "Eq": 28412, + "onders": 28413, + "department": 28414, + "ĠPhysics": 28415, + "\"});Ċ": 28416, + "Ġparad": 28417, + ".Str": 28418, + "Ġsele": 28419, + "IFIED": 28420, + "Ġdelivers": 28421, + "ivan": 28422, + "Ġresponsibilities": 28423, + "Ġadvocates": 28424, + "èµ": 28425, + "ĠRID": 28426, + ".parameters": 28427, + "Metrics": 28428, + "ronics": 28429, + "ĠUITableViewCell": 28430, + "Absolute": 28431, + "ipse": 28432, + "ylum": 28433, + "MLElement": 28434, + "_VALID": 28435, + "\\<^": 28630, + "Ġios": 28631, + "sound": 28632, + "\"];": 28633, + "Ġfreed": 28634, + "rottle": 28635, + "ĠLower": 28636, + "[count": 28637, + "åĿ": 28638, + "Ġpale": 28639, + "ĠWayne": 28640, + "earth": 28641, + "_categories": 28642, + "UCK": 28643, + ".metadata": 28644, + "Ġsummon": 28645, + "HOME": 28646, + "олÑĮз": 28647, + "Ġmanufactured": 28648, + "Ġdock": 28649, + "Ġcompetitors": 28650, + "_MODEL": 28651, + "okia": 28652, + "ĠHey": 28653, + "ο": 28654, + "Ġbackward": 28655, + "ĠPOSS": 28656, + "ropa": 28657, + "Ġcri": 28658, + "_OBJ": 28659, + "Transport": 28660, + "-high": 28661, + "Ġerotik": 28662, + "_slot": 28663, + "Ġartic": 28664, + "_framework": 28665, + "-serif": 28666, + "ĠSqlDbType": 28667, + "')(": 28668, + "+\"/": 28669, + "Ġwore": 28670, + "Sil": 28671, + "Ġstoring": 28672, + "ĠPhase": 28673, + "uant": 28674, + "Ġbump": 28675, + "inho": 28676, + "Ġdign": 28677, + "Ġbacks": 28678, + "qq": 28679, + "(hash": 28680, + "Ġgeo": 28681, + "Ġtender": 28682, + "Logo": 28683, + "!)Ċ": 28684, + "ĠMX": 28685, + "ĠArthur": 28686, + "essoa": 28687, + "_Ch": 28688, + "Ġbedrooms": 28689, + "=\"#\"><": 28690, + "Ġthroat": 28691, + "insic": 28692, + ".integer": 28693, + "Ġprimitive": 28694, + "Truthy": 28695, + "Ġfacilitate": 28696, + "Ġcreativity": 28697, + "ĠDNS": 28698, + "Ġgra": 28699, + "uez": 28700, + "Ġcountless": 28701, + "ĠPoland": 28702, + "'M": 28703, + "ĠDist": 28704, + "Ġvest": 28705, + "Ġcertification": 28706, + "á»ij": 28707, + "held": 28708, + "extensions": 28709, + "(static": 28710, + "Ġgrades": 28711, + "ĠUber": 28712, + "ãģŁ": 28713, + "Ġ[])Ċ": 28714, + "datos": 28715, + "ĠgetData": 28716, + "ĠCharg": 28717, + "ĠBS": 28718, + ".microsoft": 28719, + ".video": 28720, + ".direction": 28721, + "->{'": 28722, + "lua": 28723, + "apest": 28724, + "Ġboiler": 28725, + "erek": 28726, + "Ġdecides": 28727, + ".jar": 28728, + "ISC": 28729, + "ĠWords": 28730, + "(CON": 28731, + "EMPLATE": 28732, + "reeze": 28733, + "shots": 28734, + "apps": 28735, + "unted": 28736, + ".setName": 28737, + "::<": 28738, + "-bold": 28739, + "ê²": 28740, + "å¯Ĩ": 28741, + "Longrightarrow": 28742, + "Ġunfair": 28743, + "Ġearning": 28744, + "Ġshelf": 28745, + "UREMENT": 28746, + "Ġidle": 28747, + "_MENU": 28748, + ".Custom": 28749, + "AGER": 28750, + "-\"": 28751, + "_switch": 28752, + "because": 28753, + ")view": 28754, + "mare": 28755, + "_condition": 28756, + "ĠStarting": 28757, + "Mvc": 28758, + "(pre": 28759, + "dump": 28760, + "_LOCK": 28761, + "atetime": 28762, + ".callback": 28763, + "ĠCer": 28764, + "opol": 28765, + "ibrary": 28766, + "Ġreservation": 28767, + "ĉĉĉĉĉĉĉĊ": 28768, + "lector": 28769, + "graduate": 28770, + "Ġgenerous": 28771, + "Ġion": 28772, + "ricao": 28773, + "mq": 28774, + "_complete": 28775, + "(cursor": 28776, + "ĠFormControl": 28777, + ":center": 28778, + "Ġsubstitute": 28779, + "ĠPlanning": 28780, + "Ġpension": 28781, + "Ġrecommendation": 28782, + "ĠTags": 28783, + "Ġgef": 28784, + "Ġalbums": 28785, + "Ġwashing": 28786, + "roc": 28787, + "Ġtrains": 28788, + "atings": 28789, + "Ġexponent": 28790, + "ackbar": 28791, + "-ln": 28792, + "ág": 28793, + ".DataAnnotations": 28794, + "ĠEIF": 28795, + "ĠMalaysia": 28796, + "ĉPORT": 28797, + "onus": 28798, + "Ġclever": 28799, + "Ġpeu": 28800, + ">ĊĊĊĊ": 28801, + "ĠArguments": 28802, + "Ġdebugging": 28803, + "(right": 28804, + "'D": 28805, + "compute": 28806, + "Ġfinest": 28807, + "ORAGE": 28808, + "Ġspectacular": 28809, + "phrase": 28810, + "Ġindia": 28811, + "Ġlegendary": 28812, + "birth": 28813, + "Ġcomposite": 28814, + "Ġgrows": 28815, + "ĠTD": 28816, + "Ġepid": 28817, + "Ġlaunching": 28818, + "]][": 28819, + "Minutes": 28820, + "ĠCha": 28821, + "Ġcleaned": 28822, + "Ġwitnesses": 28823, + "ukan": 28824, + "ĉType": 28825, + "Ġhabe": 28826, + "paragraph": 28827, + "ĠJPanel": 28828, + "ĠHann": 28829, + "Ġvaried": 28830, + "ĠPokemon": 28831, + "ĠMUST": 28832, + "åĬ¨": 28833, + ".visibility": 28834, + "opup": 28835, + "^[": 28836, + ".expand": 28837, + "Ġ\"',": 28838, + ".fasterxml": 28839, + "_auto": 28840, + "ĠSheet": 28841, + "marker": 28842, + "Parcel": 28843, + "ews": 28844, + "ĠStrategy": 28845, + "-making": 28846, + "Ġunve": 28847, + "Ġtrailing": 28848, + "Ġclicks": 28849, + "ĠGetComponent": 28850, + "ĉcontent": 28851, + "IGENCE": 28852, + "ERNEL": 28853, + "NSMutableArray": 28854, + "Ġbreat": 28855, + "Ġharmful": 28856, + "¶Ī": 28857, + "Ġbesides": 28858, + "Ġboring": 28859, + "Ġbrutal": 28860, + "vang": 28861, + "(parse": 28862, + "quick": 28863, + "Ġpytest": 28864, + "Ġswitching": 28865, + "()]Ċ": 28866, + "ĠìĦ": 28867, + "LER": 28868, + "ĉfont": 28869, + "Ġnett": 28870, + ")]ĊĊ": 28871, + "(/\\": 28872, + "æŀľ": 28873, + "toArray": 28874, + "Ġbreed": 28875, + "ĠCAR": 28876, + "ĠWeapon": 28877, + "Abs": 28878, + "tot": 28879, + "ĠsetName": 28880, + "aptive": 28881, + "Ġ:,": 28882, + "Ġescaped": 28883, + "orden": 28884, + "ĠPri": 28885, + "thumbnail": 28886, + "Ġdescriptions": 28887, + "/styles": 28888, + "ĠPCI": 28889, + "Ġalphabet": 28890, + "asticsearch": 28891, + "NOTE": 28892, + "Ġcialis": 28893, + "ĠGriff": 28894, + "Ġporque": 28895, + "Ġproteins": 28896, + "plays": 28897, + "Ġstating": 28898, + "Ġimagination": 28899, + "Ġfacial": 28900, + "ĠMechan": 28901, + "Ġarranged": 28902, + "_used": 28903, + "Ġarrangements": 28904, + "ĠPipe": 28905, + "hostname": 28906, + "Ġprovinc": 28907, + "Tit": 28908, + ".FlatStyle": 28909, + "ĠSplit": 28910, + "ĠLoader": 28911, + ".cc": 28912, + "Ġclinic": 28913, + "----------------------------": 28914, + "Ġbaking": 28915, + "ĠENT": 28916, + "neath": 28917, + "ãĢģĊĊ": 28918, + "ANE": 28919, + ".EntityFrameworkCore": 28920, + "appers": 28921, + ".ic": 28922, + "ĠNgModule": 28923, + "ĠFORM": 28924, + "Ġ';": 28925, + "-profit": 28926, + "hw": 28927, + "enemy": 28928, + "ĠEye": 28929, + "Ġcaution": 28930, + "town": 28931, + "Ġurged": 28932, + "ĠJimmy": 28933, + "ynchronous": 28934, + "-sized": 28935, + "making": 28936, + ",{": 28937, + "]',": 28938, + "_Object": 28939, + "ahoma": 28940, + "Ġactivist": 28941, + "INVAL": 28942, + "ĠCommercial": 28943, + "ĠOrlando": 28944, + "(tab": 28945, + "Ġب": 28946, + "Algorithm": 28947, + "Ġheritage": 28948, + "GetMapping": 28949, + "Ġfailures": 28950, + "rios": 28951, + "ativa": 28952, + "Ġtet": 28953, + "Ġcarpet": 28954, + "(Z": 28955, + "three": 28956, + "Ġdisclosure": 28957, + ".ERROR": 28958, + "_called": 28959, + "Ġdial": 28960, + "Ġoccasional": 28961, + ".Err": 28962, + "Ġfuncion": 28963, + "caffold": 28964, + "Ġreleasing": 28965, + "ï¼īĊĊ": 28966, + "_Value": 28967, + "ĠVari": 28968, + "yellow": 28969, + "Ġstruggles": 28970, + ".cal": 28971, + "ĠDakota": 28972, + "ĉclose": 28973, + "Ġsandwich": 28974, + "Ġanalytics": 28975, + "Ġ**)": 28976, + "&#": 28977, + "ĠJos": 28978, + "Ġpassive": 28979, + "ATTR": 28980, + "Throwable": 28981, + "ĠMun": 28982, + "ĠUint": 28983, + "(disposing": 28984, + "arak": 28985, + "ĠLeaders": 28986, + "Ġaffecting": 28987, + "ĠitemView": 28988, + "Ġeconomics": 28989, + "fv": 28990, + "à¹Ģ": 28991, + ".rb": 28992, + "ĠOverall": 28993, + "Ġwealthy": 28994, + "Ġevolved": 28995, + "nda": 28996, + "ĠHus": 28997, + "restrict": 28998, + "umen": 28999, + "ĠAgricult": 29000, + "!ĊĊĊ": 29001, + "Ġexpires": 29002, + "Ġspokesperson": 29003, + "interval": 29004, + "Ġâ": 29005, + "Ġqueen": 29006, + "(nil": 29007, + "ingo": 29008, + "Heap": 29009, + "Ùİ": 29010, + "Ġcomplain": 29011, + "Sym": 29012, + "ĠClone": 29013, + "ĠRu": 29014, + "ĠWILL": 29015, + "ĠCrystal": 29016, + "/content": 29017, + "ingen": 29018, + "ointment": 29019, + "LastName": 29020, + "avicon": 29021, + "ĠIBM": 29022, + "ĠDimension": 29023, + "anh": 29024, + "icipants": 29025, + "ĠAnne": 29026, + ".progress": 29027, + "Ġalgo": 29028, + "obil": 29029, + "ĠVoice": 29030, + "ĠFE": 29031, + "Ġgli": 29032, + "Ġved": 29033, + "Ġprevents": 29034, + "\\Column": 29035, + "Ġfolk": 29036, + "etti": 29037, + "Ġmn": 29038, + "ĠCLASS": 29039, + "Ġdisplaying": 29040, + "ĠKl": 29041, + "ĠFerr": 29042, + "duto": 29043, + ".ib": 29044, + "Ġdados": 29045, + "'name": 29046, + "-space": 29047, + "Ġitalian": 29048, + "Ġinverse": 29049, + "Ġdense": 29050, + "uter": 29051, + "ĠIEnumerator": 29052, + "-sign": 29053, + "Ġnationwide": 29054, + "Ġpersona": 29055, + "Ġsolved": 29056, + "Ġdramatically": 29057, + "Logout": 29058, + "Ġgrav": 29059, + "Ġanalyses": 29060, + "ollo": 29061, + "Ġlamp": 29062, + ".team": 29063, + "ĠErot": 29064, + "=[\"": 29065, + "Ġdancing": 29066, + "Ġ?>/": 29067, + "Ġcater": 29068, + "ffe": 29069, + "ĠSha": 29070, + "ĠBos": 29071, + "ĠREQUIRE": 29072, + "ĠMonster": 29073, + "ĠRB": 29074, + "ĠIDE": 29075, + "Ġsuits": 29076, + "ĠformData": 29077, + "(theta": 29078, + "Ġspatial": 29079, + "=NULL": 29080, + "ĠSqlConnection": 29081, + "Ġà": 29082, + "ĠVenez": 29083, + "ĠMorning": 29084, + "Ġpublications": 29085, + "ĠNONINFRINGEMENT": 29086, + "firstName": 29087, + "uds": 29088, + "Would": 29089, + "_HEAD": 29090, + "Ġinvested": 29091, + "stable": 29092, + "fred": 29093, + "Ġcommander": 29094, + "SES": 29095, + "âĢĶa": 29096, + "anche": 29097, + "ĠMovement": 29098, + "ë³": 29099, + "Suite": 29100, + "Ġjurisdiction": 29101, + "리": 29102, + "ĠBeth": 29103, + "jQuery": 29104, + "ĠIsa": 29105, + "Ġdental": 29106, + ",*": 29107, + "ĠLimit": 29108, + "iliation": 29109, + "=\"{": 29110, + "bast": 29111, + "Ġturb": 29112, + "isy": 29113, + "OOK": 29114, + "Ġadvocate": 29115, + "imag": 29116, + "LECTION": 29117, + "лÑĮ": 29118, + "(category": 29119, + ".dec": 29120, + "Ġuniqu": 29121, + "_sn": 29122, + "Ġattracted": 29123, + "ĠÃī": 29124, + "ĠRunning": 29125, + "_edges": 29126, + "ĠDisable": 29127, + "_AS": 29128, + "åĽ¾": 29129, + "Ġnetworking": 29130, + "_branch": 29131, + "Having": 29132, + "toBeTruthy": 29133, + "GI": 29134, + "Ġcamps": 29135, + "sep": 29136, + "-part": 29137, + "Ġ)ĊĊĊĊĊĊĊĊ": 29138, + "ustralia": 29139, + "ĠReports": 29140, + "rito": 29141, + "Ġwaist": 29142, + "_plus": 29143, + "ĠWW": 29144, + "-person": 29145, + "April": 29146, + "Ġsar": 29147, + ".tar": 29148, + "Ġagricultural": 29149, + "tic": 29150, + "Ġtcp": 29151, + "ĠsetValue": 29152, + "agento": 29153, + "ĠAppe": 29154, + "piler": 29155, + "CADE": 29156, + "Ġanche": 29157, + "atcher": 29158, + "Ġcomics": 29159, + "Ġlbs": 29160, + "_segment": 29161, + "']=$": 29162, + "itters": 29163, + "icher": 29164, + "GINE": 29165, + "Ġutilize": 29166, + "ĠCursor": 29167, + "_expression": 29168, + "Ġdag": 29169, + "x": 29357, + ".Task": 29358, + "money": 29359, + "ibaba": 29360, + "'});Ċ": 29361, + "ĠSpecific": 29362, + "ĠLinear": 29363, + "_OPT": 29364, + "HashCode": 29365, + "(Player": 29366, + ".ContainsKey": 29367, + "Ġcollapsed": 29368, + "transparent": 29369, + "_RANGE": 29370, + "Viewer": 29371, + "(cfg": 29372, + "Ġsorting": 29373, + "Ġinfected": 29374, + "ĠNach": 29375, + "Ġaccommodate": 29376, + ".elements": 29377, + "_PART": 29378, + "ĠSexy": 29379, + "=get": 29380, + "(year": 29381, + "Ġxhr": 29382, + ":]": 29383, + "owski": 29384, + "Ġsummar": 29385, + "Ġ¿": 29386, + "Ġinte": 29387, + "Ġworkflow": 29388, + "ĠTaiwan": 29389, + "versions": 29390, + "åıij": 29391, + "Ġsurprisingly": 29392, + "Ġoptical": 29393, + "Ġproces": 29394, + "Ġdisagree": 29395, + "Ġnuevo": 29396, + "ĠCAM": 29397, + "sorted": 29398, + "leases": 29399, + "istle": 29400, + "Ident": 29401, + "ĉevent": 29402, + "jected": 29403, + "Chunk": 29404, + "Vars": 29405, + ".provider": 29406, + "Ġproceedings": 29407, + "Ġinclusive": 29408, + "Ġartwork": 29409, + "endants": 29410, + "ï¼ļĊ": 29411, + "seen": 29412, + "Ġlig": 29413, + "Ġmakers": 29414, + "_fun": 29415, + "Ġlengths": 29416, + "PathVariable": 29417, + "[item": 29418, + "ี": 29419, + "Dead": 29420, + "FFFFFF": 29421, + "ĠUrban": 29422, + "uples": 29423, + "ichen": 29424, + "(nullptr": 29425, + ".spec": 29426, + ",System": 29427, + "URATION": 29428, + "(job": 29429, + "å¼ı": 29430, + "Ġtracker": 29431, + "ÅĻ": 29432, + "ĠMR": 29433, + "ĠSQLite": 29434, + "Ġdto": 29435, + "Ġ;;Ċ": 29436, + "Ġmint": 29437, + "ĠIntroduction": 29438, + "cao": 29439, + "Ġquestioned": 29440, + "Ġfitted": 29441, + "revision": 29442, + "sq": 29443, + "Ġmig": 29444, + "_units": 29445, + "_async": 29446, + "Ġflick": 29447, + "});ĊĊĊ": 29448, + "Ġnotre": 29449, + "}`,": 29450, + "Filters": 29451, + "Ġmundo": 29452, + "_days": 29453, + "Ġfrm": 29454, + "utc": 29455, + "Ġvals": 29456, + "ewidth": 29457, + "ĠGenerator": 29458, + "ĠArtist": 29459, + "ĠIDs": 29460, + "ĠArticles": 29461, + "reater": 29462, + "ĠComponentFixture": 29463, + ".=": 29464, + "Ġrou": 29465, + "-no": 29466, + ".bukkit": 29467, + "egg": 29468, + "ĠDiff": 29469, + "atics": 29470, + "ÑĥÑĩ": 29471, + "âĢĶĊĊ": 29472, + "ĠCharlotte": 29473, + "bye": 29474, + "Ġ});čĊčĊ": 29475, + "ĠVik": 29476, + "ĠBrow": 29477, + "Ġlv": 29478, + "ĠGib": 29479, + "-wing": 29480, + "GLIGENCE": 29481, + "(Il": 29482, + "ĠEngineer": 29483, + ".Wait": 29484, + "ĠPictures": 29485, + "Ġrhet": 29486, + "Ġthermal": 29487, + "Ġpraise": 29488, + "<>();ĊĊ": 29489, + "ĠSpider": 29490, + "Pause": 29491, + "ĠBaker": 29492, + "Ġslower": 29493, + "Ġ}]Ċ": 29494, + "_enqueue": 29495, + "Ġdisappeared": 29496, + "ĠTicket": 29497, + "INUX": 29498, + "_LOCAL": 29499, + "аÑģÑģ": 29500, + "@Injectable": 29501, + "community": 29502, + "GestureRecognizer": 29503, + "åĽ½": 29504, + "Ġscales": 29505, + "Ġ-(": 29506, + "/'+": 29507, + "ĠSit": 29508, + "Ġexecutives": 29509, + "arding": 29510, + "Ġadvers": 29511, + "Ġbackwards": 29512, + "ĉcontext": 29513, + "ĠHamp": 29514, + "ĠPF": 29515, + "ĠDeck": 29516, + "ĠCraig": 29517, + "American": 29518, + "Ġbell": 29519, + "Ġprol": 29520, + "ufen": 29521, + "Ġrng": 29522, + "arshal": 29523, + "ĠSimply": 29524, + "firstname": 29525, + "shore": 29526, + "July": 29527, + "Ġmortality": 29528, + "ĠâĨĴĊĊ": 29529, + "Helpers": 29530, + "Ġbenchmark": 29531, + "emade": 29532, + "Ġorganisations": 29533, + ".gson": 29534, + "ĠTextField": 29535, + "Ġcivilians": 29536, + ".Arrays": 29537, + "ĠMississippi": 29538, + "Ġintermediate": 29539, + "getUser": 29540, + "_cluster": 29541, + "Relative": 29542, + "foreign": 29543, + ".querySelectorAll": 29544, + "ForeignKey": 29545, + "Ġreasonably": 29546, + "---------Ċ": 29547, + "Cards": 29548, + "ĠKam": 29549, + "ĠThor": 29550, + "Ġroller": 29551, + "-element": 29552, + "ĠCurrency": 29553, + "ddie": 29554, + "ALLY": 29555, + "ĠRA": 29556, + "Ġpermet": 29557, + "aaaa": 29558, + "Ġhomework": 29559, + "ĠVit": 29560, + "Ġmold": 29561, + "ĠFer": 29562, + "[start": 29563, + "Ġstatistical": 29564, + "Ġscary": 29565, + "_HOME": 29566, + ".Begin": 29567, + "Construct": 29568, + "ogenic": 29569, + "ĠDEALINGS": 29570, + "Ġtambién": 29571, + "ixon": 29572, + ".ind": 29573, + "acre": 29574, + "Ġtransforms": 29575, + "ĠNap": 29576, + ".Block": 29577, + "ussia": 29578, + "piration": 29579, + "ulent": 29580, + "Ġceil": 29581, + "Clause": 29582, + "naire": 29583, + "TES": 29584, + "Ġneat": 29585, + "STD": 29586, + "ĠRegExp": 29587, + "perform": 29588, + ":)": 29589, + "Ġunions": 29590, + "Ġsublic": 29591, + "Ġwinds": 29592, + "loating": 29593, + "glich": 29594, + "Ġpagination": 29595, + "Skill": 29596, + "Apply": 29597, + "ĠOperator": 29598, + "istogram": 29599, + "Ġqualities": 29600, + "Cross": 29601, + "Ġdecom": 29602, + "],\"": 29603, + "ĠJuan": 29604, + ".modal": 29605, + ".Child": 29606, + "ĠRoger": 29607, + "STITUTE": 29608, + ":CGRectMake": 29609, + "alette": 29610, + "Ġsta": 29611, + "aside": 29612, + "Ġblur": 29613, + "ĠWa": 29614, + "ifetime": 29615, + "reed": 29616, + "controls": 29617, + "Ġbins": 29618, + "Ġпол": 29619, + "*/,Ċ": 29620, + "UIS": 29621, + "ĠRou": 29622, + "ĠDemo": 29623, + "-awesome": 29624, + "ĠChain": 29625, + "Ġhasta": 29626, + "ĠBart": 29627, + ".KEY": 29628, + "Ġvendors": 29629, + "nofollow": 29630, + "ĠDest": 29631, + "_builder": 29632, + "Ġargues": 29633, + "_answer": 29634, + "goto": 29635, + "ĠRESULT": 29636, + "ĠMON": 29637, + "Ġpoder": 29638, + "oons": 29639, + "_CASE": 29640, + "Ġreplic": 29641, + "Ġfinancing": 29642, + "ĠDATE": 29643, + "cern": 29644, + "_track": 29645, + "ties": 29646, + "/logo": 29647, + "ĠNEGLIGENCE": 29648, + "getType": 29649, + ">T": 29650, + "bet": 29651, + "girl": 29652, + "ĠINCIDENTAL": 29653, + "-site": 29654, + ".trigger": 29655, + "ĠLisa": 29656, + "_inputs": 29657, + "Ġrelatives": 29658, + "LoggedIn": 29659, + "Configure": 29660, + "IK": 29661, + ".accept": 29662, + "Resume": 29663, + "ĠDraft": 29664, + "Ġ*>(": 29665, + "ĠWA": 29666, + "edian": 29667, + "erness": 29668, + "ĠLayoutInflater": 29669, + "*/čĊčĊ": 29670, + "othy": 29671, + "Ġobligation": 29672, + "Subscribe": 29673, + "Ġthumbnail": 29674, + "exist": 29675, + "Ġinsisted": 29676, + "ĠUICollectionView": 29677, + "ĠAngular": 29678, + "Ġtablets": 29679, + "ĠImpact": 29680, + "ãĢįĊĊ": 29681, + "aho": 29682, + "Ġcharacteristic": 29683, + "gd": 29684, + "Ġ=================================================": 29685, + "ourt": 29686, + "`.": 29687, + "Appro": 29688, + "Coordinate": 29689, + "Remember": 29690, + "Ġmarine": 29691, + "]=='": 29692, + "ĠAdministrator": 29693, + ".getDefault": 29694, + "Ġforgot": 29695, + "ĠStructure": 29696, + "Vue": 29697, + "arsing": 29698, + "moment": 29699, + "kw": 29700, + "_cursor": 29701, + "Attack": 29702, + "Ġathletic": 29703, + "Ġdiagnosed": 29704, + "Ġende": 29705, + "åĪłéĻ¤": 29706, + "House": 29707, + "ĠPARAM": 29708, + "Ġwiki": 29709, + "ĠOpp": 29710, + "Ġconservation": 29711, + "Ġsnd": 29712, + "_tem": 29713, + "substr": 29714, + "ĠCape": 29715, + ".sim": 29716, + "UTION": 29717, + "anan": 29718, + "âĢĻun": 29719, + "Ġgy": 29720, + "-work": 29721, + "Ġcompelling": 29722, + "='#": 29723, + "ĉsub": 29724, + "Ġdirectories": 29725, + "íĬ¸": 29726, + "Ġtouches": 29727, + "outines": 29728, + ".Collection": 29729, + "schedule": 29730, + ".lat": 29731, + "ĠDoctrine": 29732, + "CAA": 29733, + "ĠRefer": 29734, + "Ġshifts": 29735, + "Ġlikelihood": 29736, + "preter": 29737, + "ĠFemale": 29738, + "Ġintercept": 29739, + "Ġlou": 29740, + "çĻ»": 29741, + "Ġrug": 29742, + "ĠCrown": 29743, + "Ġ****************************************************************************": 29744, + "-product": 29745, + "Ġprompted": 29746, + "ungle": 29747, + "docker": 29748, + "ĠTu": 29749, + "ĠUnique": 29750, + "_Error": 29751, + "ulos": 29752, + "ĠâĦ": 29753, + "Ġ(`": 29754, + "Getting": 29755, + "_scal": 29756, + "ĠEnh": 29757, + "üt": 29758, + "Ġsustained": 29759, + "Ġpatches": 29760, + "Ġprosper": 29761, + "ĠGaza": 29762, + "_light": 29763, + "Ġincons": 29764, + "--------Ċ": 29765, + "ĉĉĠĠĠĠĠĠ": 29766, + "SF": 29767, + "CN": 29768, + ":\";Ċ": 29769, + "ĠCollins": 29770, + "(*)": 29771, + "Ġcompilation": 29772, + "']čĊ": 29773, + "Ġconsequence": 29774, + ",...": 29775, + "Ġdm": 29776, + "ĠBLOCK": 29777, + "Cluster": 29778, + "Ġski": 29779, + "(argc": 29780, + "Tuple": 29781, + "Ġjoins": 29782, + "ĠSheriff": 29783, + "War": 29784, + "indi": 29785, + "Ġcommented": 29786, + "HOST": 29787, + "Ġinvitation": 29788, + "apanese": 29789, + "Ġpermits": 29790, + "precedented": 29791, + "_zone": 29792, + "ĠAmy": 29793, + "_RD": 29794, + "Minimum": 29795, + "Ġinvocation": 29796, + ".enable": 29797, + "ichten": 29798, + "-owned": 29799, + "\"id": 29800, + "_POINTER": 29801, + "Fac": 29802, + "Ġspecifications": 29803, + "Ġnomination": 29804, + "Ġgp": 29805, + "<(": 29806, + "Ġrobots": 29807, + "ĠJerry": 29808, + "Ġholders": 29809, + "Ġwand": 29810, + "cms": 29811, + "Ġ}))Ċ": 29812, + ".Toast": 29813, + "ĠIList": 29814, + "Based": 29815, + "zoom": 29816, + "/style": 29817, + "ĠBeck": 29818, + "Men": 29819, + "Ġcontributing": 29820, + "Ġundo": 29821, + "ĠOH": 29822, + "ĠaddObject": 29823, + "Ġeigen": 29824, + "signup": 29825, + "éĶĻ": 29826, + "Ġdistant": 29827, + "PARATOR": 29828, + "ĠMari": 29829, + "Ġmá": 29830, + "Emp": 29831, + "ós": 29832, + "ĠìĪĺ": 29833, + "evt": 29834, + "+j": 29835, + "park": 29836, + "ĠStay": 29837, + "ĠDun": 29838, + "Ġsoy": 29839, + ">%": 29840, + "azines": 29841, + "Ġtiempo": 29842, + "(me": 29843, + "present": 29844, + ".This": 29845, + "Ġeditors": 29846, + "FIELD": 29847, + ".Work": 29848, + "ĠUniverse": 29849, + "Ġdrunk": 29850, + ".timer": 29851, + "Ġaltered": 29852, + "ĠNar": 29853, + "ëł¥": 29854, + ".Active": 29855, + "idor": 29856, + "çŃ": 29857, + ".deltaTime": 29858, + "Ġawkward": 29859, + """: 29860, + "ĠSafari": 29861, + "Ġtricks": 29862, + "MENTS": 29863, + "division": 29864, + "Ġvarying": 29865, + "ĠHighway": 29866, + "Ġphotographer": 29867, + "ĠStewart": 29868, + "Ġlasting": 29869, + ".Pre": 29870, + ".amazonaws": 29871, + "ĠLuck": 29872, + ".Description": 29873, + "ĠNaz": 29874, + "neg": 29875, + "Ġcó": 29876, + "<<\"\\": 29877, + "ĠSurv": 29878, + "ĠUnc": 29879, + "Recipe": 29880, + ".BorderStyle": 29881, + "Ġmodifications": 29882, + "-at": 29883, + "ATFORM": 29884, + "hdr": 29885, + "ako": 29886, + "Ġsublicense": 29887, + "ĠJump": 29888, + "Ġbeim": 29889, + "ĠManhattan": 29890, + ".bool": 29891, + "_hw": 29892, + "ÑĤÑĮ": 29893, + "Bin": 29894, + "Ġgateway": 29895, + "\"\":": 29896, + "ĠUIS": 29897, + ":\"+": 29898, + "-def": 29899, + "ĠRegular": 29900, + "/testing": 29901, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 29902, + "stringstream": 29903, + "Ġdispar": 29904, + "Ġmobil": 29905, + "-read": 29906, + "ĠAdapter": 29907, + "ĠChampions": 29908, + "Ġscheduler": 29909, + "Ġkills": 29910, + "ĠMultiple": 29911, + "irror": 29912, + "Ġgods": 29913, + "ADO": 29914, + "akte": 29915, + "ĠUsuario": 29916, + ".circular": 29917, + "Ġrecept": 29918, + "ĠExpr": 29919, + "Ġelderly": 29920, + "Ġnicely": 29921, + "Ġbeste": 29922, + "Want": 29923, + "Ġclassical": 29924, + ".sprite": 29925, + "objc": 29926, + "ĠMason": 29927, + "Ġsistema": 29928, + ".Black": 29929, + "eso": 29930, + "ĠZeit": 29931, + "Ġdivid": 29932, + "Ġenters": 29933, + "_subject": 29934, + "ĠPlanet": 29935, + ".warning": 29936, + "ĠGram": 29937, + "_tokens": 29938, + "Ġhouseholds": 29939, + "_customer": 29940, + "userName": 29941, + "cross": 29942, + "Ġpione": 29943, + "Ġassists": 29944, + "_SM": 29945, + "ibo": 29946, + "Ġloyal": 29947, + "Ġuseless": 29948, + "#elif": 29949, + "ĠUltimate": 29950, + "Come": 29951, + "gel": 29952, + "Ġdich": 29953, + "xyz": 29954, + "ikel": 29955, + "obra": 29956, + "_scan": 29957, + "ĠInterior": 29958, + "ĠNice": 29959, + "Ġplac": 29960, + "ĉtarget": 29961, + "Ġviral": 29962, + "asso": 29963, + "()/": 29964, + "unde": 29965, + "ĠAdobe": 29966, + "Os": 29967, + "visited": 29968, + "ĠOW": 29969, + "ĠFeed": 29970, + "ĠSequence": 29971, + "Ġmanages": 29972, + "inson": 29973, + "ĠLouisiana": 29974, + "{})": 29975, + "ĠHab": 29976, + "ĠLD": 29977, + "Ġbip": 29978, + "prites": 29979, + "(elem": 29980, + ".hibernate": 29981, + "élé": 29982, + "Ġohne": 29983, + "_transaction": 29984, + "Ġannunci": 29985, + "Published": 29986, + "ĠHonda": 29987, + "ĠTam": 29988, + "ĠPacket": 29989, + "_selector": 29990, + "Ġchallenged": 29991, + "Processing": 29992, + "-hover": 29993, + "Ġtrainer": 29994, + "_cancel": 29995, + "ĠNSDictionary": 29996, + "abric": 29997, + "ĠMLS": 29998, + "_sensor": 29999, + "Ġshrink": 30000, + "ĠFX": 30001, + "threshold": 30002, + "ĉHX": 30003, + "-mark": 30004, + "`.`": 30005, + "Scheme": 30006, + "(full": 30007, + "_writer": 30008, + "ĠSys": 30009, + "Ġfled": 30010, + "ĠCin": 30011, + "-widget": 30012, + "ĠPrevious": 30013, + "Gender": 30014, + "_question": 30015, + "Feed": 30016, + "Ġscrut": 30017, + "(prefix": 30018, + "ãĢĤãĢĤ": 30019, + "Ġinfections": 30020, + "Parts": 30021, + "Ġhierarchy": 30022, + "_DELETE": 30023, + "ĠPatient": 30024, + "_pay": 30025, + "Ġpromoted": 30026, + "Ġìĭ": 30027, + "Ġcivilian": 30028, + "Ġagriculture": 30029, + "ĠPiece": 30030, + "Ġstance": 30031, + "utsche": 30032, + "Assign": 30033, + ".ACTION": 30034, + "Fig": 30035, + "_radius": 30036, + "ĠSync": 30037, + "ducer": 30038, + "failure": 30039, + "ensed": 30040, + "ptime": 30041, + "BM": 30042, + "_datetime": 30043, + "quivo": 30044, + "QUEUE": 30045, + "èĢħ": 30046, + "Appear": 30047, + "Ġsummit": 30048, + ":void": 30049, + "Ġvine": 30050, + "认": 30051, + "onne": 30052, + "_TRANS": 30053, + ".green": 30054, + "_cc": 30055, + "Ġhungry": 30056, + "Ġ\">": 30057, + "());čĊčĊ": 30058, + "Extract": 30059, + "izens": 30060, + "Ġsolver": 30061, + "Notify": 30062, + "Ġenglish": 30063, + "ĠShopping": 30064, + "interfaces": 30065, + "REQ": 30066, + "Ġilleg": 30067, + "ĠUIImageView": 30068, + "Ġdisconnect": 30069, + "ĠUntil": 30070, + "ĠConservative": 30071, + "@Column": 30072, + "Ġshifted": 30073, + "Ġ:čĊ": 30074, + "Ġfich": 30075, + "Ġdla": 30076, + "Ġshoe": 30077, + "\"),čĊ": 30078, + "ularity": 30079, + "_RESP": 30080, + "Weather": 30081, + "UIApplication": 30082, + ".iterator": 30083, + "Ġaging": 30084, + ".Parent": 30085, + "owie": 30086, + "(equal": 30087, + "ĠConv": 30088, + "/default": 30089, + "Ġmeasuring": 30090, + ".prev": 30091, + ".IsValid": 30092, + ".Fat": 30093, + "ĠsÄĥ": 30094, + "keywords": 30095, + "without": 30096, + "Ġsovere": 30097, + "Ġexchanges": 30098, + "Ġmelt": 30099, + "Ġislands": 30100, + "ĠIntegr": 30101, + "Ġjumping": 30102, + "Ġgle": 30103, + "Ġjournalism": 30104, + "Ġdated": 30105, + "Localized": 30106, + "ĠRefresh": 30107, + "Particle": 30108, + "Ġaa": 30109, + "ĠSTRICT": 30110, + "Ġbod": 30111, + ".Process": 30112, + "_AUTO": 30113, + "ĠPublished": 30114, + "every": 30115, + "Ġtechnological": 30116, + "lsx": 30117, + "Ġirrit": 30118, + "Additional": 30119, + "Ġdelimiter": 30120, + "_language": 30121, + "-area": 30122, + "boys": 30123, + "ĠTube": 30124, + "Ġwat": 30125, + "Ġmechanics": 30126, + "_owner": 30127, + "Spell": 30128, + "ĠStories": 30129, + ".AppendLine": 30130, + "TableView": 30131, + "hem": 30132, + "stick": 30133, + "ollower": 30134, + "IFF": 30135, + "ĠUV": 30136, + "ollision": 30137, + "SUB": 30138, + "Ġcomparable": 30139, + "Ġdonde": 30140, + "sales": 30141, + "llvm": 30142, + "Ġ}],Ċ": 30143, + "OTTOM": 30144, + "ĠPurpose": 30145, + "Lab": 30146, + "Ġinterviewed": 30147, + "ois": 30148, + "asil": 30149, + ".setId": 30150, + "ĠInstruction": 30151, + "-->": 30152, + "ĠModified": 30153, + "ationally": 30154, + "ĠMeeting": 30155, + "误": 30156, + "#region": 30157, + "Ġrouting": 30158, + ".focus": 30159, + "ĠYouth": 30160, + "<": 30448, + "Ġunto": 30449, + "ologically": 30450, + "ĠMul": 30451, + "VIDIA": 30452, + "Ġslim": 30453, + "ĠCommissioner": 30454, + "(on": 30455, + "Ġunderneath": 30456, + "/db": 30457, + "vote": 30458, + "(Message": 30459, + "ĠPope": 30460, + "Defined": 30461, + "Ġswift": 30462, + "urf": 30463, + "Ġadapted": 30464, + "SEL": 30465, + "Ġrevenues": 30466, + "Ġdivine": 30467, + "=y": 30468, + "Gradient": 30469, + "_act": 30470, + "Ġ/*!<": 30471, + "Ġpolygon": 30472, + "ĠFDA": 30473, + "ĠCarr": 30474, + "atables": 30475, + "(stdout": 30476, + "Ġrefriger": 30477, + "Ġcoordin": 30478, + "avorites": 30479, + "ÑĪи": 30480, + "Ġcompassion": 30481, + "ĠPOSSIBILITY": 30482, + "-secondary": 30483, + "uracy": 30484, + "Ġcompromise": 30485, + "_AV": 30486, + "_os": 30487, + "Ġbeside": 30488, + "ĥĿ": 30489, + "Ġln": 30490, + ".plugins": 30491, + "Capacity": 30492, + "alah": 30493, + ".bin": 30494, + "ĠCRC": 30495, + "_balance": 30496, + "ĠflexDirection": 30497, + "Ġambit": 30498, + "Ġnickname": 30499, + "ĠForces": 30500, + "CLE": 30501, + "ĠShell": 30502, + "Ġsail": 30503, + "ĠWriter": 30504, + "ĠAlice": 30505, + "dw": 30506, + "ĠIndians": 30507, + "ĠMarshall": 30508, + "_SRC": 30509, + "Ġnormalized": 30510, + "ĠJag": 30511, + "ãĤĴ": 30512, + "zeit": 30513, + "rpc": 30514, + "ÃŃc": 30515, + ".inline": 30516, + "Ġtravers": 30517, + "_numeric": 30518, + "Ġutilities": 30519, + "Ġevac": 30520, + "INPUT": 30521, + "ĉregister": 30522, + "MX": 30523, + "ĠCampbell": 30524, + "Ġdatasets": 30525, + "Ġdemanded": 30526, + "ĠinitialState": 30527, + "gan": 30528, + "Ġei": 30529, + "Unexpected": 30530, + "-web": 30531, + "trait": 30532, + ",Y": 30533, + "ĠTodd": 30534, + "Ġskeleton": 30535, + "Ġoptimize": 30536, + "第": 30537, + "ĠUpon": 30538, + "ĠStObject": 30539, + "Ġaplic": 30540, + ".'P": 30578, + "vron": 30579, + ".UN": 30580, + "Ġpainter": 30581, + "izarre": 30582, + "Ġlav": 30583, + "Ġpom": 30584, + "preg": 30585, + "=function": 30586, + "(serial": 30587, + "ifica": 30588, + "uming": 30589, + "åľ°": 30590, + "ãģĤ": 30591, + "-op": 30592, + "UCH": 30593, + "ĠHend": 30594, + ".propTypes": 30595, + "Ġyo": 30596, + "Ġroutines": 30597, + "Ġcaring": 30598, + "Sem": 30599, + "Ġreserves": 30600, + "Ġpriorities": 30601, + "redits": 30602, + "ISTR": 30603, + "ContentType": 30604, + "ĠSchw": 30605, + "/media": 30606, + "Ġestr": 30607, + "Ġclimbing": 30608, + "-week": 30609, + "cherche": 30610, + "sensor": 30611, + "ToArray": 30612, + "ĠMontreal": 30613, + "Ġclouds": 30614, + "ĠInjectable": 30615, + "ĠRice": 30616, + "Ġpropaganda": 30617, + "_provider": 30618, + "Ġindoor": 30619, + "Ġinaug": 30620, + "Ġdiplom": 30621, + "Ġmessaging": 30622, + "_mut": 30623, + "å¦Ĥ": 30624, + "Ġkw": 30625, + "ONS": 30626, + "arians": 30627, + "RPC": 30628, + ")]čĊ": 30629, + "-ray": 30630, + "ĠSor": 30631, + "mall": 30632, + "Ġmarketplace": 30633, + "Ġvtk": 30634, + "Ma": 30635, + "ogan": 30636, + "igi": 30637, + "Ġsponsored": 30638, + "ĠDani": 30639, + ".SEVER": 30640, + ">'.$": 30641, + "multipart": 30642, + "ĠWol": 30643, + "ĠtableName": 30644, + "ĠUsername": 30645, + "BackgroundColor": 30646, + "Ġfright": 30647, + "_EMAIL": 30648, + "September": 30649, + "_vals": 30650, + "opia": 30651, + "Ġspotted": 30652, + "-Ch": 30653, + "ĠdataSource": 30654, + "/\"Ċ": 30655, + "екÑĤ": 30656, + "ĠRequestMethod": 30657, + "ĠReplace": 30658, + "-do": 30659, + "ahn": 30660, + "ĠPhD": 30661, + "].ĊĊ": 30662, + "NON": 30663, + "gement": 30664, + "ĠThr": 30665, + "Ġquietly": 30666, + "Ġtorture": 30667, + "Ġteas": 30668, + "ĠCY": 30669, + "Ġatr": 30670, + "development": 30671, + "-detail": 30672, + "Ġlighter": 30673, + "Ġarguing": 30674, + "Ġdeserves": 30675, + "Ġcurriculum": 30676, + "_CONTEXT": 30677, + "ÅĤy": 30678, + "HITE": 30679, + "ĉID": 30680, + "/uploads": 30681, + "Ġtits": 30682, + "reo": 30683, + "_drop": 30684, + ".UTF": 30685, + "Ġpickup": 30686, + "Ġgrocery": 30687, + "ĠPure": 30688, + "Ġeasiest": 30689, + "Phil": 30690, + ".feature": 30691, + "(\"*": 30692, + "Ġinvestor": 30693, + "tok": 30694, + "Ġjar": 30695, + "Los": 30696, + "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ": 30697, + ".queue": 30698, + "-speed": 30699, + "Mal": 30700, + "umblr": 30701, + "ĠCONST": 30702, + "ĠHRESULT": 30703, + "ĠDance": 30704, + "(filePath": 30705, + "Ġattributed": 30706, + "à¥į": 30707, + "ĠBund": 30708, + "coins": 30709, + "Ġsão": 30710, + "Ġpir": 30711, + "personal": 30712, + "Ġprelim": 30713, + "Ġpropose": 30714, + "ĠTL": 30715, + "]])": 30716, + "ĠSubscription": 30717, + "ĠKre": 30718, + ",len": 30719, + ".FirstOrDefault": 30720, + ")--": 30721, + "_products": 30722, + ".GetBytes": 30723, + "Ship": 30724, + "Ġencrypt": 30725, + "ĠSG": 30726, + "ĠMyst": 30727, + "hir": 30728, + "Ġiterate": 30729, + "Ġintend": 30730, + ".mockito": 30731, + "Ġchapters": 30732, + "(angle": 30733, + "ĠVlad": 30734, + "设": 30735, + "'.ĊĊ": 30736, + "ResponseBody": 30737, + "ĠAbd": 30738, + "deal": 30739, + "Ġbarriers": 30740, + "-outline": 30741, + "bill": 30742, + "ĠFalls": 30743, + "_second": 30744, + ".include": 30745, + ".ceil": 30746, + "Ġoccupation": 30747, + "phony": 30748, + ".moveTo": 30749, + "ĠJennifer": 30750, + "ASTER": 30751, + ";\"><": 30752, + "ĠEnabled": 30753, + "Ġterminate": 30754, + "ĠIo": 30755, + "lations": 30756, + "ĠTHEORY": 30757, + "Ġearliest": 30758, + "Ġrack": 30759, + "ĠScar": 30760, + "shake": 30761, + "chip": 30762, + "Ġuv": 30763, + "Ġalliance": 30764, + "пиÑģ": 30765, + "ĠGOODS": 30766, + "zione": 30767, + "ĠVI": 30768, + "Ġ{-": 30769, + "Ġfiltering": 30770, + "Ġmiscon": 30771, + ".DockStyle": 30772, + "Ġbush": 30773, + "Ġjunk": 30774, + "æĮ": 30775, + "ĠQUE": 30776, + "Ġhooks": 30777, + "Ġfirmware": 30778, + "Ġmiddleware": 30779, + "dic": 30780, + "ĠOakland": 30781, + "Ġarrives": 30782, + "Payload": 30783, + "pixel": 30784, + "]|": 30785, + "ĠstartDate": 30786, + ".PRO": 30787, + "_audio": 30788, + "Ġmidfield": 30789, + "igidbody": 30790, + "ĠSwiss": 30791, + "ĠClip": 30792, + "ĠDump": 30793, + "ĠTextBox": 30794, + "Ġgeh": 30795, + "yield": 30796, + "ods": 30797, + "Ġreferendum": 30798, + "Backend": 30799, + "ĠCream": 30800, + "Ġdominated": 30801, + "ĠArchive": 30802, + "Ġriders": 30803, + ".prepareStatement": 30804, + "Ġquando": 30805, + "Ġchef": 30806, + "wiki": 30807, + "inel": 30808, + "ampling": 30809, + "(\"\\\\": 30810, + "Ġsag": 30811, + "_proxy": 30812, + "ãģķ": 30813, + "pdo": 30814, + ".getElementsByTagName": 30815, + "Ġdemonstration": 30816, + "ĠNPC": 30817, + "Ġarchivo": 30818, + "endance": 30819, + "Ġefficiently": 30820, + "(actual": 30821, + ".tableView": 30822, + "Ġmush": 30823, + "Ġbears": 30824, + "_threads": 30825, + "jas": 30826, + "ahun": 30827, + "Ġneural": 30828, + "Ġdesigning": 30829, + "ĠGDP": 30830, + "Ġlifted": 30831, + "缮": 30832, + "ĠJoint": 30833, + "ĠInclude": 30834, + "ĠGiants": 30835, + "Ġwithdrawal": 30836, + "ĠRent": 30837, + "native": 30838, + "ĠSeek": 30839, + "gression": 30840, + "_CPU": 30841, + "\\S": 30842, + "ĠShield": 30843, + "Ġsolic": 30844, + "Ġboom": 30845, + "yecto": 30846, + "Ġmanufacture": 30847, + "ĠâĢĭ": 30848, + "Ġbbox": 30849, + "Ġearthqu": 30850, + "ollectors": 30851, + ":@\"%": 30852, + "Ġloops": 30853, + "Je": 30854, + "alking": 30855, + "ĠWhats": 30856, + "ĠBoys": 30857, + ".book": 30858, + "ARGE": 30859, + "_pixel": 30860, + "Ġsuspects": 30861, + "ι": 30862, + "usp": 30863, + "ĠBMW": 30864, + "ieces": 30865, + "(person": 30866, + "å¼Ģ": 30867, + "é»": 30868, + "ĠPodcast": 30869, + "Ġbou": 30870, + "(Item": 30871, + "û": 30872, + "(Input": 30873, + "HttpGet": 30874, + "Ġburg": 30875, + ")^": 30876, + "BOARD": 30877, + "*/,": 30878, + "Ġgulp": 30879, + "ĠBenn": 30880, + "Ġdecks": 30881, + ".statusCode": 30882, + "Ġacute": 30883, + "Ġhug": 30884, + "ugu": 30885, + "Ġpled": 30886, + ",\"%": 30887, + "hape": 30888, + "Ġзап": 30889, + "ĠMaine": 30890, + ".real": 30891, + "Ġdalam": 30892, + "ĠMinor": 30893, + ".Float": 30894, + "disp": 30895, + "Ġtl": 30896, + "Ġencount": 30897, + "=>$": 30898, + "Ġfg": 30899, + "tees": 30900, + "ĠRecomm": 30901, + "äl": 30902, + "Ġchemistry": 30903, + "Blocks": 30904, + "OID": 30905, + "Ġforex": 30906, + "ĠAppend": 30907, + "Ġ{*": 30908, + "ĠSupply": 30909, + "CGFloat": 30910, + "(bl": 30911, + "Ġate": 30912, + "adora": 30913, + "Ġgust": 30914, + "Associ": 30915, + ">.Ċ": 30916, + "FETCH": 30917, + ".serial": 30918, + "widgets": 30919, + "ardless": 30920, + "iefs": 30921, + "_FULL": 30922, + "ernetes": 30923, + "ĠPred": 30924, + "ØŃ": 30925, + "äºĭ": 30926, + "ubernetes": 30927, + "ĠLaura": 30928, + "Ġlabeled": 30929, + "Highlight": 30930, + "Ġannoying": 30931, + "/update": 30932, + "(description": 30933, + "Ġintimid": 30934, + "$c": 30935, + "\")))Ċ": 30936, + ".AP": 30937, + "Ġ[]*": 30938, + "ĠEXIT": 30939, + ".Host": 30940, + "ĠOPEN": 30941, + ".sendMessage": 30942, + "_camera": 30943, + "_tile": 30944, + "Ġtherm": 30945, + "onomous": 30946, + "Ġdisadv": 30947, + "Ġnaar": 30948, + "indexOf": 30949, + "ĠPP": 30950, + ".protocol": 30951, + "AFE": 30952, + "Ġtextures": 30953, + "################################################": 30954, + "umbai": 30955, + ".stats": 30956, + "ĠGE": 30957, + "Ġie": 30958, + "ĠSTD": 30959, + "ĠMann": 30960, + ".reflect": 30961, + "KB": 30962, + "Ġdive": 30963, + ".wav": 30964, + "/*----------------------------------------------------------------": 30965, + "/settings": 30966, + ".lifecycle": 30967, + "Ġdaughters": 30968, + "orus": 30969, + "uber": 30970, + "NING": 30971, + "stri": 30972, + "ĠTip": 30973, + "Ġzn": 30974, + "Ġswitched": 30975, + "inet": 30976, + "uffy": 30977, + "ĠTransportation": 30978, + "(conf": 30979, + "frica": 30980, + "ĠXL": 30981, + "ĠLead": 30982, + "_percent": 30983, + "__": 30999, + "permissions": 31000, + "ĠDetermine": 31001, + ".Man": 31002, + "Ġadvances": 31003, + ".InputStream": 31004, + "Ġstrongest": 31005, + "ĠeBay": 31006, + "Ġ#-": 31007, + "Ġdirname": 31008, + "ĠSMS": 31009, + "Ġmedications": 31010, + "Ġamended": 31011, + "Ġchurches": 31012, + "ĠImperial": 31013, + "$row": 31014, + "ĠMadison": 31015, + "ĠInsp": 31016, + "Ġaffair": 31017, + "Ġpsychology": 31018, + "vh": 31019, + "Ġseverity": 31020, + "âĢIJ": 31021, + "Ġstrips": 31022, + "AH": 31023, + "vertising": 31024, + "Ġconse": 31025, + "IMAGE": 31026, + "ĠStats": 31027, + "ĉsc": 31028, + ".Cursor": 31029, + "Ġfreeze": 31030, + "sson": 31031, + "(xml": 31032, + "ĠSusan": 31033, + ".tile": 31034, + "eded": 31035, + "ĠĠĠĠĉĉĉ": 31036, + "uelle": 31037, + "ĠMitchell": 31038, + "based": 31039, + "Operand": 31040, + "½æķ°": 31041, + "ĠFF": 31042, + "ĉstrcpy": 31043, + "ounces": 31044, + "ildo": 31045, + ".executeQuery": 31046, + "Ġapproaching": 31047, + "ĠSeven": 31048, + "Ġnuts": 31049, + "Ġric": 31050, + "assignment": 31051, + "Ġcalculator": 31052, + "ĠMurphy": 31053, + "ĠBou": 31054, + "íĦ": 31055, + "Ġbutt": 31056, + "Ġticks": 31057, + "Projects": 31058, + "ilib": 31059, + ".textColor": 31060, + "mov": 31061, + "_logo": 31062, + "(template": 31063, + "ĠINIT": 31064, + "ĠimageView": 31065, + "scriptions": 31066, + "ORITY": 31067, + "Consumer": 31068, + "Ġunprecedented": 31069, + "Ġtourist": 31070, + "Ġbron": 31071, + "Ġcontractor": 31072, + "Ġlicence": 31073, + "ĠNam": 31074, + "æ¯": 31075, + "(transform": 31076, + "_ATT": 31077, + "Pref": 31078, + "ĠGam": 31079, + "Ġvessels": 31080, + "Ġhav": 31081, + "Later": 31082, + ".ToLower": 31083, + "Ġurls": 31084, + "Ġbreakdown": 31085, + "Ġpenalties": 31086, + "Ġfoster": 31087, + "ĠUE": 31088, + "Ġclue": 31089, + "comed": 31090, + "åIJį称": 31091, + "-main": 31092, + "Ġpts": 31093, + "Ġcounted": 31094, + "icts": 31095, + "/post": 31096, + "Ġgetattr": 31097, + "Ġping": 31098, + "ANCEL": 31099, + "Ġpec": 31100, + "Ñħод": 31101, + "antom": 31102, + "ĠBlueprint": 31103, + "ĠEventEmitter": 31104, + "Ġlä": 31105, + "æ²": 31106, + "Ġstraw": 31107, + "(comp": 31108, + "'une": 31109, + ">N": 31110, + "-client": 31111, + "esModule": 31112, + "-base": 31113, + "Ġretreat": 31114, + "_simple": 31115, + "ĉĉĉĉĉĉĠ": 31116, + "fee": 31117, + "')čĊčĊ": 31118, + "ControlItem": 31119, + "Ġsubscribers": 31120, + "please": 31121, + "ĠEff": 31122, + "Ġpound": 31123, + "ĠBytes": 31124, + "ĠTea": 31125, + "_activity": 31126, + "Ġmaxim": 31127, + "Ġopcode": 31128, + "BSD": 31129, + ".constant": 31130, + ";}": 31131, + "ombres": 31132, + "Ġcareers": 31133, + ").ĊĊĊĊ": 31134, + "Ġspreading": 31135, + "-expanded": 31136, + "ĠOrd": 31137, + "amarin": 31138, + "Ġmobility": 31139, + "Unfortunately": 31140, + "akk": 31141, + "NL": 31142, + "_redirect": 31143, + "ĠPG": 31144, + "ĠSensor": 31145, + "bol": 31146, + "tap": 31147, + "_MEMORY": 31148, + "ĠUIAlert": 31149, + "plitude": 31150, + "Website": 31151, + "ĠLogo": 31152, + "love": 31153, + "[ind": 31154, + "Ġaltogether": 31155, + "Ġwondered": 31156, + "Ġesper": 31157, + "ĠLiberal": 31158, + "Ġoss": 31159, + "Ġelit": 31160, + "Ġstiff": 31161, + "odox": 31162, + "_mentions": 31163, + "ĠDouglas": 31164, + "_pid": 31165, + "ĠCK": 31166, + "ĠinitWithFrame": 31167, + ".blog": 31168, + "pkg": 31169, + "anghai": 31170, + "QUIRED": 31171, + "uu": 31172, + "Ġmkdir": 31173, + "ATAL": 31174, + "Ġunh": 31175, + "inces": 31176, + "sth": 31177, + "Ġhypothesis": 31178, + "Ġcata": 31179, + "ĠTB": 31180, + "ĠClar": 31181, + "Ġpredecess": 31182, + "Ġsituated": 31183, + "-world": 31184, + "))/": 31185, + "Ġheadlines": 31186, + ".stat": 31187, + "Ġoutbreak": 31188, + "spath": 31189, + "_FLAGS": 31190, + "ĠServletException": 31191, + "Sun": 31192, + "FROM": 31193, + "ĠDir": 31194, + "ãĥ»ãĥ»ãĥ»": 31195, + "_coord": 31196, + "ĠOptim": 31197, + "Monitor": 31198, + ".bit": 31199, + "XXX": 31200, + "Ġtodas": 31201, + "feld": 31202, + "ÑĢи": 31203, + "imir": 31204, + "Ġpolitically": 31205, + "Ġmolecular": 31206, + "Ġtraded": 31207, + "Ġ{{$": 31208, + "ĠSwedish": 31209, + "Ġ'@/": 31210, + "_REAL": 31211, + "Ġwarehouse": 31212, + "today": 31213, + ",L": 31214, + "orp": 31215, + "false": 31492, + "Ġspa": 31493, + "ĠNear": 31494, + "ìķ": 31495, + "Ġintrig": 31496, + "_members": 31497, + "wave": 31498, + "Ġanalysts": 31499, + "_OS": 31500, + "edin": 31501, + "ĠFri": 31502, + "Ġretrieved": 31503, + "Regular": 31504, + "_obs": 31505, + "EXPORT": 31506, + "')}}\"": 31507, + "\"class": 31508, + "__((": 31509, + "bucket": 31510, + "Ġstro": 31511, + "ĠPatch": 31512, + "ystick": 31513, + "fulness": 31514, + "apos": 31515, + "Da": 31516, + "ĉĉĉĉĉĠĠĠ": 31517, + "Ġenrich": 31518, + "unordered": 31519, + "hole": 31520, + "Cong": 31521, + "';ĊĊ": 31563, + "STRUCT": 31564, + "QR": 31565, + "IDs": 31566, + "(arguments": 31567, + "_aux": 31568, + "(Event": 31569, + "_PRIVATE": 31570, + "ĠTrek": 31571, + "Ġdownloads": 31572, + "mutable": 31573, + "_STRUCT": 31574, + "(wx": 31575, + "Ġdomains": 31576, + "jspx": 31577, + "ĠViagra": 31578, + "Commands": 31579, + "Js": 31580, + ".cfg": 31581, + "ContentPane": 31582, + "ĠEditText": 31583, + "à¥įà¤": 31584, + "Attach": 31585, + "ĠARM": 31586, + "positive": 31587, + "ĠGenerated": 31588, + "Ġseized": 31589, + "=:": 31590, + "Ġelectronics": 31591, + "ĠAppComponent": 31592, + "/',Ċ": 31593, + ".equalsIgnoreCase": 31594, + "Doctrine": 31595, + "disk": 31596, + "ĠPolitical": 31597, + "CHO": 31598, + "": 31684, + "ĠBeauty": 31685, + "Ġ`<": 31686, + "Ġtouching": 31687, + "Ġ|--": 31688, + "ĉflag": 31689, + "normalize": 31690, + "Ġtrapped": 31691, + "Ġestablishing": 31692, + "/build": 31693, + "AJ": 31694, + "fy": 31695, + "-react": 31696, + "avn": 31697, + "RIPTION": 31698, + "Ġkut": 31699, + "ĠFashion": 31700, + "ĠInform": 31701, + "curities": 31702, + "{Ċ": 31734, + "Ġgarlic": 31735, + "Ġrepr": 31736, + "Ġreplies": 31737, + "(prop": 31738, + "Ġspirits": 31739, + "Ġinspire": 31740, + "Ġbasement": 31741, + ".reject": 31742, + "Ġhints": 31743, + "Ġpolling": 31744, + "ĉĠĊ": 31745, + "_rating": 31746, + "Ġcath": 31747, + "avier": 31748, + "Ġcompressed": 31749, + "ĠVS": 31750, + "]'": 31751, + "Ġjudicial": 31752, + "ĠTrend": 31753, + "training": 31754, + "ESTAMP": 31755, + "ognition": 31756, + "Äģ": 31757, + "SENT": 31758, + "ventions": 31759, + "Ġconsultant": 31760, + "umph": 31761, + "ĠuserService": 31762, + ",NULL": 31763, + "kh": 31764, + "Dear": 31765, + "_BAD": 31766, + "itations": 31767, + "Ġmetaph": 31768, + "'é": 31769, + "andise": 31770, + "-font": 31771, + ".chart": 31772, + "Ġsg": 31773, + "_Controller": 31774, + ".jpeg": 31775, + "ĠULONG": 31776, + "ĉgame": 31777, + "(ss": 31778, + "ĠMaj": 31779, + "ĉgo": 31780, + "ĠSad": 31781, + "ĠBerg": 31782, + "ĠMine": 31783, + "Pack": 31784, + "Ġresistant": 31785, + "ĠROM": 31786, + "Ġpeg": 31787, + "ĠStanford": 31788, + "ĠYahoo": 31789, + "Ġscaled": 31790, + "Ġlan": 31791, + "=[]": 31792, + "\"/>ččĊ": 31836, + "Ġsud": 31837, + "ĉbackground": 31838, + "Ġscholars": 31839, + "-muted": 31840, + "ará": 31841, + "Ġ=====": 31842, + "Ġ____": 31843, + "Creat": 31844, + "enever": 31845, + "/wp": 31846, + "ĠVPN": 31847, + "ErrorCode": 31848, + ")],Ċ": 31849, + "(builder": 31850, + "ĠEnemy": 31851, + "Sensor": 31852, + "usa": 31853, + "Ġtriggers": 31854, + "Ġplayoffs": 31855, + "_REQ": 31856, + "Ġ(~": 31857, + "ĠBarry": 31858, + "Ġpermanently": 31859, + "ĠRUN": 31860, + "Ġbure": 31861, + ".Fatalf": 31862, + "Ġchick": 31863, + "ĉpanic": 31864, + "psi": 31865, + "oka": 31866, + "éĢī": 31867, + ">[": 31868, + "Ġunderstands": 31869, + "ĠJunior": 31870, + "ĠINFO": 31871, + "=mysqli": 31872, + "ustain": 31873, + "-source": 31874, + "serv": 31875, + "ĠCREATE": 31876, + ".au": 31877, + "Ġsells": 31878, + "ĠĠĊĠĠĊ": 31879, + "Europe": 31880, + "zw": 31881, + "preh": 31882, + "ĠNSA": 31883, + "Ġxy": 31884, + "ิ": 31885, + "ĠBeyond": 31886, + "Instead": 31887, + "NonQuery": 31888, + "Ġarise": 31889, + "Ġavoided": 31890, + ".emplace": 31891, + "_models": 31892, + "}),Ċ": 31893, + "Ġhid": 31894, + "Ġ&_": 31895, + ".points": 31896, + ".getWidth": 31897, + ".Exec": 31898, + "Ġ////": 31899, + "ĠSessions": 31900, + "...\\": 31901, + "ĠColomb": 31902, + "Ġacceleration": 31903, + "restore": 31904, + "Ġile": 31905, + "obic": 31906, + "}Ċ": 32396, + "plaint": 32397, + "getText": 32398, + "Ġindividually": 32399, + "Ġcheckbox": 32400, + "UY": 32401, + "ĠLamb": 32402, + "Ġdysfunction": 32403, + "ĠLar": 32404, + "à°": 32405, + "ĠCreating": 32406, + "');ĊĊĊ": 32407, + "\"They": 32408, + "locations": 32409, + "_CORE": 32410, + "Interaction": 32411, + "umbnails": 32412, + "ĠPartner": 32413, + "brit": 32414, + "Ġlesser": 32415, + "ĠSlot": 32416, + "setAttribute": 32417, + "ĠWave": 32418, + ".po": 32419, + "/store": 32420, + "Ġbrowsing": 32421, + "_pd": 32422, + "sume": 32423, + "sed": 32424, + "Curve": 32425, + "Ġplasma": 32426, + "Ġsuspicious": 32427, + "ìĿ¸": 32428, + "ĠBah": 32429, + "ĠExplicit": 32430, + "_CC": 32431, + ".ClientSize": 32432, + "\\View": 32433, + "Ġsubstit": 32434, + "loon": 32435, + "ĠGAME": 32436, + "ĠBrid": 32437, + "Ľå»º": 32438, + "_User": 32439, + "Ġsquares": 32440, + "fone": 32441, + "Ġsacred": 32442, + "ughs": 32443, + "]interface": 32444, + "ĠThrow": 32445, + "ĠKirk": 32446, + "Ġempire": 32447, + "Ġassessed": 32448, + "Tax": 32449, + "ĠHeaven": 32450, + "-buffer": 32451, + "_STATIC": 32452, + "éné": 32453, + "-bordered": 32454, + "Ġpunct": 32455, + "(mode": 32456, + "Ġkeine": 32457, + "Sent": 32458, + "ĠCalcul": 32459, + "ĠEve": 32460, + "Ġstylish": 32461, + "Ġoils": 32462, + ".TestCase": 32463, + "Ġtrademark": 32464, + "Ġliterary": 32465, + "Ġconcentrations": 32466, + "ĠRelations": 32467, + "(Class": 32468, + "Ġstdin": 32469, + "Ġvæ": 32470, + "backup": 32471, + ".VERSION": 32472, + ".AutoScaleDimensions": 32473, + "starter": 32474, + "Transactional": 32475, + "-panel": 32476, + "Studio": 32477, + "kc": 32478, + "ĠChamber": 32479, + "ĠSpiel": 32480, + "Ġrho": 32481, + "اÙĦ": 32482, + "!'": 32483, + ".Attributes": 32484, + "Ġmurdered": 32485, + "apeutic": 32486, + "Ġintimate": 32487, + "ĠtextField": 32488, + "ĠBuffalo": 32489, + "dummy": 32490, + "\"%": 32491, + "ĠLiberty": 32492, + "obar": 32493, + "ĠTank": 32494, + "ĠPopular": 32495, + "ervisor": 32496, + "ĠIniti": 32497, + "ĠMall": 32498, + "ĠPrior": 32499, + "CAP": 32500, + "ĠClay": 32501, + "ĠCertificate": 32502, + ".Lock": 32503, + "-strip": 32504, + "-driven": 32505, + "/all": 32506, + "ĠMessageBoxButtons": 32507, + "_SECRET": 32508, + "_pb": 32509, + "Ġrats": 32510, + "ाà¤": 32511, + "Ġnt": 32512, + ".Router": 32513, + "_topic": 32514, + "Ġtennis": 32515, + "ĠPUBLIC": 32516, + "ĠActivatedRoute": 32517, + "Ġ',Ċ": 32518, + "Ġcostume": 32519, + "Ġjokes": 32520, + ".Handle": 32521, + "ĉbyte": 32522, + "Ġflavors": 32523, + "(cc": 32524, + "Ġpersonas": 32525, + "ĉimage": 32526, + "ĠNazi": 32527, + "Ġgrammar": 32528, + "Ġúlt": 32529, + "Ġvalve": 32530, + "Ġvic": 32531, + "ĠRachel": 32532, + "_invalid": 32533, + "Prefs": 32534, + "stdint": 32535, + "(route": 32536, + "Ġhtmlspecialchars": 32537, + "Ġpeoples": 32538, + "pline": 32539, + "Ġnv": 32540, + "ĠQuant": 32541, + "oppers": 32542, + "ĠcurrentUser": 32543, + "ĠCatal": 32544, + "Ġreconc": 32545, + "Ġconjunction": 32546, + "lx": 32547, + "amburg": 32548, + "Ġinfluential": 32549, + "danger": 32550, + "inders": 32551, + "Ġ%@\",": 32552, + ".configuration": 32553, + "osome": 32554, + ".identity": 32555, + "Ġpicker": 32556, + "nost": 32557, + "ĠDIY": 32558, + "August": 32559, + "ablo": 32560, + "Leaf": 32561, + "ĠReco": 32562, + "cko": 32563, + "DOC": 32564, + "ĠHerm": 32565, + ":any": 32566, + "ĠInterview": 32567, + "ĠTex": 32568, + "xfe": 32569, + "(work": 32570, + "Ġleap": 32571, + "Heading": 32572, + "Ġquarters": 32573, + "\\Bundle": 32574, + "reb": 32575, + "Perhaps": 32576, + "ĠGmbH": 32577, + "Birth": 32578, + "ĉsum": 32579, + "ĠWatson": 32580, + ".nil": 32581, + "ç¡": 32582, + "{}ĊĊ": 32583, + "icaid": 32584, + "Getter": 32585, + "\"name": 32586, + "Ġ\"čĊ": 32587, + "_none": 32588, + "zm": 32589, + "acute": 32590, + "uesto": 32591, + "Ġsous": 32592, + "Ġrebuild": 32593, + "Ġnewspapers": 32594, + "ĠHaz": 32595, + "Ġkits": 32596, + "ifo": 32597, + "Blur": 32598, + "Ġsuited": 32599, + "-In": 32600, + "à¯": 32601, + "ĠKeith": 32602, + "ĠNorway": 32603, + "INIT": 32604, + "ireccion": 32605, + "ieties": 32606, + "_usage": 32607, + "ĠDoug": 32608, + "rise": 32609, + "Ġtrillion": 32610, + "imited": 32611, + "ĠREL": 32612, + "alic": 32613, + "Ġcriticized": 32614, + "theorem": 32615, + "Ġcease": 32616, + "Ġsidew": 32617, + "ĠTerry": 32618, + "Ġsubsidi": 32619, + "Ġfirmly": 32620, + "Ġaws": 32621, + "Ġhott": 32622, + "Ġdressing": 32623, + "badge": 32624, + "ĠApplications": 32625, + "è¿ĶåĽŀ": 32626, + "Ġlaughed": 32627, + "Ġhobby": 32628, + "Ġmusicians": 32629, + "Ġ*.": 32630, + ".placeholder": 32631, + "Ġcounters": 32632, + "ĠCapitol": 32633, + "SDK": 32634, + "Ġhelmet": 32635, + "andbox": 32636, + "quit": 32637, + "Ġcriminals": 32638, + "Ġteenager": 32639, + "(update": 32640, + "Gl": 32641, + ".selection": 32642, + "Ġdischarge": 32643, + "Ġpresenting": 32644, + "ufacturer": 32645, + "_UNKNOWN": 32646, + "Ġstressed": 32647, + "åĻ¨": 32648, + "Proto": 32649, + "_correct": 32650, + "haus": 32651, + "Ġrenov": 32652, + "Ġfirearms": 32653, + "Ġtechnically": 32654, + "-browser": 32655, + "Ġcandy": 32656, + "Stroke": 32657, + "Ġexecutor": 32658, + "Ġoccurrence": 32659, + "ĠIPv": 32660, + "_INTERFACE": 32661, + "ĠRetrieve": 32662, + ".bad": 32663, + "Exchange": 32664, + "Navbar": 32665, + "ĠKid": 32666, + "(getApplicationContext": 32667, + "_STOP": 32668, + "ĠBoss": 32669, + "Listeners": 32670, + "Ġshooter": 32671, + "ĠAlb": 32672, + "äch": 32673, + "Ġpix": 32674, + ".keyCode": 32675, + "alone": 32676, + "Ġabsurd": 32677, + "ĠCum": 32678, + "ĠNewtonsoft": 32679, + "ikt": 32680, + "Ġlaughing": 32681, + "Ġcapitalism": 32682, + "reeNode": 32683, + "Tx": 32684, + "_QUERY": 32685, + ".Sleep": 32686, + "(login": 32687, + "WebElement": 32688, + "Ġcelebrating": 32689, + "Ġdeprecated": 32690, + "Ġmaar": 32691, + "Ġartistic": 32692, + "_ASSOC": 32693, + "ĠBorderRadius": 32694, + "ĉwp": 32695, + "Ġsurvivors": 32696, + "Inner": 32697, + "-red": 32698, + "Ġprosecution": 32699, + "_pp": 32700, + "(\"$": 32782, + "Ġcomma": 32783, + "unchecked": 32784, + "graphics": 32785, + "rors": 32786, + "GROUND": 32787, + "(public": 32788, + "Ġcustomized": 32789, + "ĠArkansas": 32790, + "ĠRew": 32791, + "Ġexpiration": 32792, + "×ķ": 32793, + "ĠCul": 32794, + "Ġnons": 32795, + ".Filter": 32796, + "Ġsenator": 32797, + "_definition": 32798, + "ashington": 32799, + "ymph": 32800, + "/J": 32801, + "Ġfuse": 32802, + "ramid": 32803, + "ĠSupplier": 32804, + "Ġautocomplete": 32805, + "Ġ}),": 32806, + ".\"ĊĊĊ": 32807, + "_functions": 32808, + "ĉto": 32809, + ".eval": 32810, + "ĠTObject": 32811, + "References": 32812, + "Ġheated": 32813, + "HAL": 32814, + "Ġ))}Ċ": 32815, + "}$": 32816, + "ĠBarr": 32817, + "_UNIT": 32818, + "+$": 32819, + "ĠgetValue": 32820, + "iped": 32821, + "chied": 32822, + "(vm": 32823, + "cue": 32824, + "_integer": 32825, + "_course": 32826, + "third": 32827, + "Ġrevised": 32828, + "**/Ċ": 32829, + "_DIRECT": 32830, + "OutOf": 32831, + "(\"(": 32832, + "ĠFeel": 32833, + "Ġreass": 32834, + "Ġsubtitle": 32835, + "peri": 32836, + "nf": 32837, + "Ġenjoys": 32838, + "Ġtreats": 32839, + ")this": 32840, + "-tabs": 32841, + "ancers": 32842, + "Ġcontinent": 32843, + "Ġcardio": 32844, + "Ser": 32845, + ".question": 32846, + "Ġphrases": 32847, + "Validators": 32848, + "Ġpopul": 32849, + "ĠlÃŃ": 32850, + "song": 32851, + "_INTERNAL": 32852, + "Ġadviser": 32853, + "Ġpuzz": 32854, + "Ġambitious": 32855, + "ĠTob": 32856, + "ĠDP": 32857, + "Ġpresidency": 32858, + "Ġsurrender": 32859, + "Ġwatches": 32860, + "_binary": 32861, + "ĠSoon": 32862, + "Ġcanada": 32863, + "(\"\")Ċ": 32864, + "]='": 32865, + "ĠBrandon": 32866, + "epsilon": 32867, + "rw": 32868, + ".addChild": 32869, + ".Copy": 32870, + "Principal": 32871, + "Photos": 32872, + "Ġmarginal": 32873, + "Ġbasics": 32874, + "eing": 32875, + "Must": 32876, + "_String": 32877, + "Ġole": 32878, + "Magento": 32879, + ".customer": 32880, + "(prev": 32881, + "ล": 32882, + "Ġloyalty": 32883, + "Cog": 32884, + "Ġprotocols": 32885, + "ĠCompanies": 32886, + "Ġtheoretical": 32887, + "Ġaccessing": 32888, + "ĠZen": 32889, + ".ones": 32890, + "attice": 32891, + "_world": 32892, + "zes": 32893, + "Ġtattoo": 32894, + "Ġmenos": 32895, + "Ġintersect": 32896, + "\"];ĊĊ": 32897, + "belie": 32898, + "Ġinactive": 32899, + ".readline": 32900, + "-labelled": 32901, + ".done": 32902, + "lickr": 32903, + "ĠWORK": 32904, + "Ġderivative": 32905, + "Ġdatabases": 32906, + "âĤĤ": 32907, + "Ġsx": 32908, + ".isArray": 32909, + "Ġys": 32910, + "Ġpada": 32911, + "ĠBullet": 32912, + "(`/": 32913, + "isActive": 32914, + "ĠCGSize": 32915, + "(equalTo": 32916, + "ĠColumbus": 32917, + "Ġmarry": 32918, + "DEV": 32919, + "_limits": 32920, + "rones": 32921, + "IAS": 32922, + "Ġtau": 32923, + "mino": 32924, + "_Write": 32925, + "ĠWine": 32926, + "Ġ[['": 32927, + "ĠPull": 32928, + "riters": 32929, + "rients": 32930, + "Ġshifting": 32931, + "upp": 32932, + "_TIMER": 32933, + "ĠConditions": 32934, + "ấ": 32935, + "ĠOrders": 32936, + "ĠStrength": 32937, + "æīĢ": 32938, + "Ġvalidity": 32939, + "Ġfot": 32940, + "etur": 32941, + "Ġbolt": 32942, + "åĨħ": 32943, + "ĠAlong": 32944, + "oshi": 32945, + "Ġassumptions": 32946, + "Ġmagazines": 32947, + "_SPI": 32948, + "Ġpunt": 32949, + "_PRODUCT": 32950, + "Ġrelay": 32951, + "ĠJavascript": 32952, + ".te": 32953, + "-es": 32954, + "Ġwidgets": 32955, + "(fs": 32956, + "\";": 33023, + "atching": 33024, + "ĠKnowledge": 33025, + "ĉThe": 33026, + ";margin": 33027, + "lessness": 33028, + "opard": 33029, + "umatic": 33030, + "()));čĊ": 33031, + "Ġfals": 33032, + "(cache": 33033, + "TypeId": 33034, + "éĢļ": 33035, + "_choice": 33036, + "ĠGoth": 33037, + "ĠSites": 33038, + "MG": 33039, + "_border": 33040, + "Indices": 33041, + "Comparer": 33042, + "ĠRedistribution": 33043, + "Ġcloset": 33044, + "Ġversatile": 33045, + "Inputs": 33046, + "********************": 33047, + "Ġobesity": 33048, + "quiz": 33049, + "gra": 33050, + "(global": 33051, + "åĬ¡": 33052, + "Ġcollector": 33053, + "Ġkor": 33054, + "ovable": 33055, + "ADC": 33056, + "ĠEventHandler": 33057, + ".nc": 33058, + "Ġplayback": 33059, + "ientos": 33060, + "_perm": 33061, + "_WARNING": 33062, + "ĠOlympics": 33063, + ".norm": 33064, + "ĠBroadcast": 33065, + "_small": 33066, + "drive": 33067, + ".iloc": 33068, + "Ġtyped": 33069, + "MEM": 33070, + "_cons": 33071, + "DMETHOD": 33072, + "Ġlun": 33073, + ".distance": 33074, + "(par": 33075, + "poon": 33076, + "Ġbast": 33077, + "activities": 33078, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 33079, + ":čĊčĊ": 33080, + "SER": 33081, + ")&&": 33082, + "_lst": 33083, + "ĠPolish": 33084, + "Ġknocked": 33085, + "Ġfrustration": 33086, + "aukee": 33087, + "Ġphosph": 33088, + "iquid": 33089, + "_coeff": 33090, + "æѤ": 33091, + "Latest": 33092, + "ĠDust": 33093, + "Tipo": 33094, + "Ġmaintains": 33095, + "Ġmarsh": 33096, + "incinn": 33097, + "lbl": 33098, + "Care": 33099, + "Ġneighborhoods": 33100, + "_gpio": 33101, + "ĠArsenal": 33102, + "Dem": 33103, + "ĠWhe": 33104, + "_hook": 33105, + "Ġldc": 33106, + "ĠHarper": 33107, + "ĠBerkeley": 33108, + "Ġgraduated": 33109, + "Percent": 33110, + "Ġarriving": 33111, + "ĠAdventure": 33112, + "(scope": 33113, + "('*": 33114, + "quarter": 33115, + "ĠMarie": 33116, + "Speaking": 33117, + "_codegen": 33118, + "Ġimmun": 33119, + "caster": 33120, + "ãĤĮ": 33121, + "åķĨ": 33122, + "ĠDimensions": 33123, + ".record": 33124, + "Ġtexto": 33125, + "ĠMichelle": 33126, + "Pending": 33127, + "(by": 33128, + "_PAR": 33129, + "ucht": 33130, + "bee": 33131, + ".Thread": 33132, + "ampire": 33133, + "know": 33134, + "ĠClinical": 33135, + "ĠmarginBottom": 33136, + "Ġdistinguish": 33137, + ".Full": 33138, + ".undefined": 33139, + "ĠSequelize": 33140, + "############################################################################": 33141, + "Ġeducated": 33142, + "_OVER": 33143, + "åºı": 33144, + "ĠÂłĠÂł": 33145, + "_each": 33146, + "Ġurge": 33147, + "depart": 33148, + "Ġdonors": 33149, + "ĠAu": 33150, + "Ġbillions": 33151, + "Ġbelonging": 33152, + "_age": 33153, + "_Int": 33154, + "Ġsubstances": 33155, + "machine": 33156, + "!!!ĊĊ": 33157, + "Ġjsonify": 33158, + "ibbean": 33159, + "ĠCad": 33160, + "ĠendTime": 33161, + "Ġcycling": 33162, + "ĠUITextField": 33163, + "Ġleverage": 33164, + "Ġvanilla": 33165, + "eat": 33166, + "Launch": 33167, + "(pt": 33168, + "states": 33169, + "ĠControls": 33170, + "ĠRespons": 33171, + "ĠJake": 33172, + "Ġasleep": 33173, + "fortunate": 33174, + ".nextLine": 33175, + "SizeMode": 33176, + "ìĿ¼": 33177, + "TestingModule": 33178, + "German": 33179, + "ĠInvestig": 33180, + ".reverse": 33181, + "ĠBACK": 33182, + "(DateTime": 33183, + "Ġnonprofit": 33184, + "ĠExpect": 33185, + "Ġtanto": 33186, + "']),": 33187, + "ĉthe": 33188, + "Multiple": 33189, + "(getActivity": 33190, + "_WAIT": 33191, + "Ġjá": 33192, + "decor": 33193, + "levance": 33194, + "ĠGitHub": 33195, + "mination": 33196, + "_quantity": 33197, + ".Scanner": 33198, + "ĠLion": 33199, + "éĶĻ误": 33200, + "Ġdre": 33201, + "Ġtantra": 33202, + "ĠcontentType": 33203, + "Ġfid": 33204, + "_alt": 33205, + "NSIndexPath": 33206, + "-pl": 33207, + "åĮĸ": 33208, + "Ġantibiot": 33209, + "tables": 33210, + "acial": 33211, + "ĠRegistry": 33212, + "Ġolive": 33213, + "igers": 33214, + "Ġsubscriber": 33215, + "_pres": 33216, + "ĠSyntax": 33217, + "Ġlovers": 33218, + ".Byte": 33219, + "olders": 33220, + "_forward": 33221, + "always": 33222, + "Caption": 33223, + "Priv": 33224, + "ĠTampa": 33225, + "isateur": 33226, + "-labelledby": 33227, + "ĠToString": 33228, + "ĠìĤ¬": 33229, + "Ġinitiated": 33230, + "WF": 33231, + "Ġinstitutional": 33232, + "inject": 33233, + "ĠScr": 33234, + "Ġdoctrine": 33235, + "Ġspacious": 33236, + "isure": 33237, + "ĠAna": 33238, + "\"time": 33239, + "essaging": 33240, + "Ġcid": 33241, + "ĠNan": 33242, + "Ġincomplete": 33243, + "TAG": 33244, + "-build": 33245, + "December": 33246, + "Ġresidual": 33247, + "(PDO": 33248, + "ĠListen": 33249, + "Ġglyph": 33250, + "Ġgaps": 33251, + "nea": 33252, + ".Rect": 33253, + "Ġsau": 33254, + "ĠPhotograph": 33255, + "Ġexecutable": 33256, + "ĠExpert": 33257, + "Coroutine": 33258, + "_sizes": 33259, + "ĠNL": 33260, + ".isValid": 33261, + ");}Ċ": 33262, + "-reg": 33263, + "Ġciting": 33264, + "cwd": 33265, + "ĠOttawa": 33266, + "ĠBatt": 33267, + "Ġrenewable": 33268, + "Ġpreliminary": 33269, + "Ġasylum": 33270, + "Ġwrist": 33271, + "Ġutiliz": 33272, + "Ġdetention": 33273, + "Fast": 33274, + "Ġange": 33275, + "incinnati": 33276, + "Ġsteering": 33277, + "ĠNaN": 33278, + "iosity": 33279, + "/page": 33280, + "Ġè¿": 33281, + "sterol": 33282, + "Ġdisg": 33283, + "(DB": 33284, + "ĠDESCRIPTION": 33285, + "Ġ_$": 33286, + "Ġobstacle": 33287, + "Ġbizarre": 33288, + "Ġextraction": 33289, + "_expected": 33290, + "Ġloses": 33291, + "ĠCelebr": 33292, + "ĠhtmlFor": 33293, + "Ġexploit": 33294, + "олÑĮзов": 33295, + "XYZ": 33296, + "Ġmagnet": 33297, + "amped": 33298, + "Ġatoms": 33299, + "Sources": 33300, + "pectives": 33301, + "Ñģли": 33302, + "Ġ=čĊ": 33303, + "Ġdare": 33304, + "ĠWalter": 33305, + "Ġbrightness": 33306, + "Ġannotations": 33307, + "ëı": 33308, + "iske": 33309, + "Schedule": 33310, + ".images": 33311, + "rosso": 33312, + "Ġ\"..": 33313, + "gamma": 33314, + "Ġinstructor": 33315, + "Ġoverwrite": 33316, + "-am": 33317, + "Ġdevastating": 33318, + "ĠSaints": 33319, + "Ġhs": 33320, + "Ġbonuses": 33321, + "$output": 33322, + "ijd": 33323, + "(ActionEvent": 33324, + "monitor": 33325, + "Ġmattress": 33326, + "January": 33327, + ".jp": 33328, + "Ġcaracter": 33329, + "Ġimpose": 33330, + "_rest": 33331, + "ĠSignature": 33332, + "Ġcoronavirus": 33333, + "ãģĬ": 33334, + "_compare": 33335, + "Measure": 33336, + "itated": 33337, + "elijk": 33338, + "igos": 33339, + "esar": 33340, + "Ġrushed": 33341, + "metry": 33342, + "_SEPARATOR": 33343, + "_WE": 33344, + "_ATTRIBUTE": 33345, + "Ġyaml": 33346, + "Ġspecs": 33347, + "ĠRah": 33348, + "pheric": 33349, + "ĠInvestment": 33350, + "äll": 33351, + "Ġappealing": 33352, + "Ġviewport": 33353, + "ç©": 33354, + "ĠmarginLeft": 33355, + "Ġsubtract": 33356, + "ĠEDIT": 33357, + "ĉArrayList": 33358, + "grading": 33359, + "ĠFailure": 33360, + "asper": 33361, + "EEK": 33362, + "(now": 33363, + ")Ċ": 33379, + "Collision": 33380, + "ĠGreater": 33381, + "ĠRacing": 33382, + "alan": 33383, + "Ġmonetary": 33384, + ",new": 33385, + "ĠSorry": 33386, + ".Enable": 33387, + "ĠInstantiate": 33388, + "ollen": 33389, + "ë©´": 33390, + "ĠCalling": 33391, + "_hour": 33392, + "ADA": 33393, + "Ġshy": 33394, + ")**": 33395, + "Ġ==>": 33396, + "Ġespecial": 33397, + "Ġinterpreted": 33398, + "!=\"": 33399, + "Ġpharmacy": 33400, + ".single": 33401, + "ĠCialis": 33402, + "Ġparas": 33403, + ".toUpperCase": 33404, + "ĠDemon": 33405, + "Prime": 33406, + "Ġrankings": 33407, + "Adding": 33408, + "_HASH": 33409, + "ĠExam": 33410, + "Ú©": 33411, + "ĠVictor": 33412, + "Okay": 33413, + "\"];čĊ": 33414, + "Ġfortune": 33415, + "ĠFETCH": 33416, + "expand": 33417, + ".Interop": 33418, + "Ġbarn": 33419, + "æ¶Ī": 33420, + "uevo": 33421, + "Ġspeculation": 33422, + "âĶĢâĶĢâĶĢâĶĢ": 33423, + "ĠNu": 33424, + "ĠBlues": 33425, + "(fname": 33426, + "Ġinhabit": 33427, + "Ġ\\\"%": 33428, + "CES": 33429, + "ulario": 33430, + "_cr": 33431, + "Ġvalidated": 33432, + "Ġmidnight": 33433, + "anking": 33434, + "Ġincorporate": 33435, + "Ġpursuit": 33436, + "EXP": 33437, + "prime": 33438, + "Pid": 33439, + "-US": 33440, + "ĠNurs": 33441, + "ĠWheel": 33442, + "éĺ": 33443, + "Ġinp": 33444, + "Ġsupportive": 33445, + ".member": 33446, + "ĠShot": 33447, + ".CheckBox": 33448, + "Ġaffirm": 33449, + "Tor": 33450, + "FullYear": 33451, + "Ġconsiderably": 33452, + "credentials": 33453, + "_opts": 33454, + "Roll": 33455, + "(round": 33456, + "Ġcoment": 33457, + "_UART": 33458, + "Ġextending": 33459, + "RG": 33460, + "resultado": 33461, + "itu": 33462, + ".getSession": 33463, + "Ġattraction": 33464, + "&D": 33465, + "$html": 33466, + "ĠJessica": 33467, + "ĠAssociate": 33468, + "añ": 33469, + "_ed": 33470, + "ĠLag": 33471, + "Ġorigins": 33472, + "())->": 33473, + "addEventListener": 33474, + "IALOG": 33475, + "åIJ¦": 33476, + ".Compare": 33477, + "Album": 33478, + "ĠKu": 33479, + "\";ĊĊ": 33523, + "quisite": 33524, + "channels": 33525, + "/res": 33526, + "ĠAnalytics": 33527, + ".appcompat": 33528, + "/to": 33529, + "ĠonError": 33530, + "(attr": 33531, + "IRM": 33532, + "Ġragaz": 33533, + "-as": 33534, + ".Second": 33535, + "oriented": 33536, + "Ġdonn": 33537, + "Ġlightning": 33538, + "fid": 33539, + "ĠPle": 33540, + "ãģ¾ãģĻ": 33541, + "tro": 33542, + ".True": 33543, + "Observable": 33544, + "×Ļ": 33545, + "umbing": 33546, + "Ġprospective": 33547, + "-filter": 33548, + "Ġpursuant": 33549, + "(points": 33550, + ".Bind": 33551, + "Ġpalm": 33552, + "clearfix": 33553, + "ös": 33554, + "ĠGonz": 33555, + "Ġweaken": 33556, + "Drive": 33557, + "enido": 33558, + "lld": 33559, + "obox": 33560, + "anean": 33561, + "Got": 33562, + "ä¿Ŀ": 33563, + "Regex": 33564, + "æĥ": 33565, + "Ġsalad": 33566, + "assis": 33567, + "\"net": 33568, + "inheritDoc": 33569, + "ĠRV": 33570, + "quier": 33571, + "Ġclazz": 33572, + "Ä±ÅŁ": 33573, + "osterone": 33574, + "Ġairline": 33575, + ".listdir": 33576, + "Ġdownloading": 33577, + "ĠPalm": 33578, + "waukee": 33579, + "<": 33580, + ".BL": 33581, + "_INLINE": 33582, + "offs": 33583, + "<<(": 33584, + "_news": 33585, + "Ġchase": 33586, + "/><": 33587, + "Ġeuros": 33588, + "ĠEgyptian": 33589, + "ĠStainless": 33590, + "_BOOL": 33591, + "ĠGuild": 33592, + "ĠDynam": 33593, + "[indexPath": 33594, + "Ġï": 33595, + "Ġmemorable": 33596, + "ĠChampion": 33597, + "ResourceManager": 33598, + ".Login": 33599, + "ĠFormer": 33600, + "yped": 33601, + "Ġlleg": 33602, + ";\",": 33603, + "DWORD": 33604, + "Ġtaxi": 33605, + "Ġbombs": 33606, + "rah": 33607, + ".tags": 33608, + "_tests": 33609, + "stones": 33610, + "âĢĿ)": 33611, + "[g": 33612, + "rtype": 33613, + "Ġvu": 33614, + "Ġhostile": 33615, + "Chars": 33616, + "ĠPatriots": 33617, + "/status": 33618, + "());Ċ": 33972, + "ajÄħ": 33973, + "_OCC": 33974, + "Ġplanets": 33975, + "æŁ¥": 33976, + "ĠDublin": 33977, + "Ġserie": 33978, + ".printf": 33979, + "deep": 33980, + "`)": 33981, + "Ġ\\$": 33982, + "Ġμ": 33983, + "_VIDEO": 33984, + "endors": 33985, + "ĠCrypto": 33986, + "Far": 33987, + ".Transparent": 33988, + ".TR": 33989, + "iasm": 33990, + "_training": 33991, + "Ġteaches": 33992, + "ĠBelt": 33993, + "Ġlimiting": 33994, + "ĠKath": 33995, + "ĠIndexPath": 33996, + "Ġachievements": 33997, + "Ġserá": 33998, + "interopRequire": 33999, + "Ġdisse": 34000, + ".If": 34001, + "arming": 34002, + "ulsion": 34003, + "Po": 34004, + "_DETAIL": 34005, + "Prototype": 34006, + "ĠCAL": 34007, + "Ġagrees": 34008, + ".vo": 34009, + ".ExecuteNonQuery": 34010, + "ĠTopic": 34011, + "Ġ'{}": 34012, + "Arm": 34013, + "Ġecc": 34014, + "Mag": 34015, + "Ġserialized": 34016, + "ĉconn": 34017, + "cached": 34018, + "=tf": 34019, + "ĠByteArray": 34020, + "protobuf": 34021, + "varchar": 34022, + "ĉASSERT": 34023, + "Ġliste": 34024, + "_trigger": 34025, + "·¸": 34026, + "Feel": 34027, + "Tahoma": 34028, + "ĠLik": 34029, + "Ġstructured": 34030, + "ergus": 34031, + ".Initial": 34032, + "_ge": 34033, + "cljs": 34034, + ".contact": 34035, + "Ġandere": 34036, + "$stmt": 34037, + "_CURRENT": 34038, + "ĠDiscover": 34039, + "$res": 34040, + "formatter": 34041, + "Ha": 34042, + "vangst": 34043, + "Ġemerge": 34044, + "ãĢĤâĢĿ": 34045, + "ĠCabinet": 34046, + "-square": 34047, + "éĥ¨": 34048, + "Ġrage": 34049, + "ĠAJ": 34050, + "ĠVT": 34051, + "shadow": 34052, + "ĠFaith": 34053, + "enames": 34054, + "pretty": 34055, + "hasil": 34056, + "party": 34057, + "Ġvarchar": 34058, + "Ġfotos": 34059, + "Ġalum": 34060, + "ĠBelgium": 34061, + ".ylabel": 34062, + "Ġdej": 34063, + "_numbers": 34064, + "Ġhu": 34065, + ".setAdapter": 34066, + "ĠUsually": 34067, + "(sample": 34068, + ".Shared": 34069, + "Ġbooked": 34070, + "Ġ>>=": 34071, + "Ġminerals": 34072, + "\">": 34091, + "prog": 34092, + "boo": 34093, + "_md": 34094, + "_pack": 34095, + "(express": 34096, + "utz": 34097, + "\\Auth": 34098, + ",id": 34099, + "ĠChile": 34100, + "actice": 34101, + "Ġrecruitment": 34102, + "Ġposes": 34103, + "Ġvulnerability": 34104, + "instanc": 34105, + "orum": 34106, + "dess": 34107, + "Ġxl": 34108, + "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%": 34109, + "(fig": 34110, + "Ġdeleting": 34111, + ".del": 34112, + ")')Ċ": 34113, + "ĠWeekly": 34114, + "???": 34115, + "(strcmp": 34116, + "smith": 34117, + "Ġpursuing": 34118, + "-so": 34119, + "ĠApps": 34120, + "/'Ċ": 34121, + "Ġdecis": 34122, + "FORE": 34123, + "Everyone": 34124, + "Ġlanes": 34125, + "Virtual": 34126, + ".attach": 34127, + "(Log": 34128, + "ĠMedicaid": 34129, + "(Path": 34130, + "ĠTurner": 34131, + "/application": 34132, + "Ġportrait": 34133, + "Ġoppose": 34134, + "checkout": 34135, + "Ġfinishes": 34136, + "_ME": 34137, + "Barrier": 34138, + "Song": 34139, + "VAR": 34140, + "Earlier": 34141, + "rella": 34142, + "Ġhast": 34143, + "azar": 34144, + "Ġpulls": 34145, + "ngx": 34146, + "Ġinspiring": 34147, + "ÑĥÑİ": 34148, + "-direction": 34149, + "Ġexplosive": 34150, + "ĠcreatedAt": 34151, + "sto": 34152, + "Ġwheat": 34153, + "ĠBuilt": 34154, + "'ai": 34155, + "Ġtracked": 34156, + "hammad": 34157, + "RowAtIndexPath": 34158, + "_heap": 34159, + "Due": 34160, + "Ġconnects": 34161, + ".publish": 34162, + "emu": 34163, + "Ġbullets": 34164, + "BAR": 34165, + "olate": 34166, + "Ġinternally": 34167, + "Ġcatching": 34168, + "-password": 34169, + "ouched": 34170, + "æĢ§": 34171, + "eous": 34172, + "Ġxrange": 34173, + "Quality": 34174, + "vv": 34175, + "Manage": 34176, + "(($": 34177, + "acements": 34178, + "ĠBrothers": 34179, + "ĠHEAD": 34180, + "ĠUnsupported": 34181, + "san": 34182, + "esi": 34183, + "***Ċ": 34184, + "Ġadaptation": 34185, + "ĠWorker": 34186, + "']/": 34187, + ".savefig": 34188, + "(trans": 34189, + "ج": 34190, + "nee": 34191, + "Correct": 34192, + "...\")Ċ": 34193, + "Ġsubmitting": 34194, + "-path": 34195, + "ĉlast": 34196, + "issan": 34197, + ".xlabel": 34198, + "ĠSepar": 34199, + "/no": 34200, + "_best": 34201, + "ĠMills": 34202, + "_sock": 34203, + "(flag": 34204, + "Ġdestinations": 34205, + "emption": 34206, + "ĠFAIL": 34207, + "åĴĮ": 34208, + "Ġrp": 34209, + "fact": 34210, + "ĉlen": 34211, + "DAY": 34212, + "Ġseiz": 34213, + "_dst": 34214, + "lip": 34215, + ".Linear": 34216, + "ĠBasket": 34217, + "$t": 34218, + "$i": 34219, + "-brand": 34220, + "ĠNeil": 34221, + "ĠEq": 34222, + "Ġthou": 34223, + "ogene": 34224, + "Ġscholarship": 34225, + "æĽ´": 34226, + "Ġswo": 34227, + "aginator": 34228, + "eni": 34229, + "(book": 34230, + "Ġblink": 34231, + "thus": 34232, + "ĠcancellationToken": 34233, + "ĠPalestinians": 34234, + "Ġprofitable": 34235, + "Ġbackpack": 34236, + "enson": 34237, + "true": 34384, + "ĠNYC": 34385, + "Ġbored": 34386, + "ĠDetect": 34387, + "Ġappar": 34388, + "Ġjeans": 34389, + "ĠTak": 34390, + "IOD": 34391, + "ĠHorse": 34392, + "(FILE": 34393, + "(?": 34394, + "rique": 34395, + "optimizer": 34396, + "nat": 34397, + "loys": 34398, + "ĉToken": 34399, + "oubted": 34400, + "uess": 34401, + "ocoa": 34402, + "DataMember": 34403, + "_POWER": 34404, + "classList": 34405, + "PushButton": 34406, + "ĠWiFi": 34407, + ".Stream": 34408, + ".guild": 34409, + "Ġnog": 34410, + "ĠPortugal": 34411, + "ĠUnter": 34412, + "Primitive": 34413, + "boss": 34414, + "ĠDeutsch": 34415, + "Ġerotic": 34416, + "Ġstrconv": 34417, + ".TryParse": 34418, + "Ġgrams": 34419, + ".Success": 34420, + "_pk": 34421, + "ĠHarvey": 34422, + "-minded": 34423, + ".country": 34424, + "[]\"": 34425, + "Ġangel": 34426, + "Ġbeats": 34427, + "ĠVor": 34428, + "ilio": 34429, + ".master": 34430, + "something": 34431, + "ĠPACK": 34432, + "(if": 34433, + "RequestBody": 34434, + "Ġantes": 34435, + "/widget": 34436, + "Ġmodo": 34437, + "ĠAW": 34438, + "finder": 34439, + "Ġoptimized": 34440, + "Ġmissiles": 34441, + "NB": 34442, + "ĉinternal": 34443, + "tex": 34444, + "ĠSri": 34445, + "Ġdamaging": 34446, + "ĠMais": 34447, + "-Allow": 34448, + "ĠZh": 34449, + "-alt": 34450, + "Ġ));ĊĊ": 34451, + "èī": 34452, + "Ġinfluences": 34453, + "Ġcatal": 34454, + "_REGISTER": 34455, + "ĠAPIs": 34456, + "-century": 34457, + "Ġbiology": 34458, + "ĠActual": 34459, + "Ġheels": 34460, + "TRACE": 34461, + "_DIG": 34462, + "Dataset": 34463, + "ĠMatter": 34464, + "Ġclassifier": 34465, + ".wikipedia": 34466, + "ĠRogers": 34467, + "Ġdonated": 34468, + "rawler": 34469, + "enen": 34470, + "Ġcasinos": 34471, + "ortal": 34472, + "Ġprive": 34473, + "spe": 34474, + "ducers": 34475, + ".ep": 34476, + "Ġgrasp": 34477, + "acji": 34478, + "Ġdairy": 34479, + "Ġbuses": 34480, + ".comm": 34481, + ".ins": 34482, + "ĠIRS": 34483, + "ĠBeer": 34484, + "adc": 34485, + "oard": 34486, + "_MET": 34487, + "Ġ'+'": 34488, + "rans": 34489, + "Ġkinda": 34490, + "ĠâĶĤ": 34491, + "ĠMaur": 34492, + "аг": 34493, + "Ġbandwidth": 34494, + "ibus": 34495, + "ĠDifferent": 34496, + "(mat": 34497, + "ĠResume": 34498, + "_UNS": 34499, + "establish": 34500, + "Ġfonction": 34501, + "Subscription": 34502, + "_company": 34503, + "Ġlightly": 34504, + ".confirm": 34505, + ".yaml": 34506, + "ĠBoost": 34507, + "Commerce": 34508, + "-template": 34509, + "_DELAY": 34510, + "ĠHI": 34511, + "Ġnavig": 34512, + "(Sender": 34513, + "ĠHS": 34514, + "_\"+": 34515, + "ĠREQUEST": 34516, + "Ġwifi": 34517, + "=\"\"Ċ": 34518, + "])->": 34519, + "Ġrope": 34520, + "Ġviolated": 34521, + "Ġglance": 34522, + "ĠKurd": 34523, + "Ġè®": 34524, + "deck": 34525, + "ĠISBN": 34526, + "Ġinfect": 34527, + "ĠFoo": 34528, + "Ġgetter": 34529, + "Ġtener": 34530, + "appe": 34531, + ".hh": 34532, + "_hot": 34533, + "\".$": 34743, + "Ġrelies": 34744, + "(Console": 34745, + "International": 34746, + "->{$": 34747, + "Mid": 34748, + "Ġdissert": 34749, + "dds": 34750, + "Ġdeposits": 34751, + "ĉdriver": 34752, + "#ga": 34753, + "prising": 34754, + "println": 34755, + "Ġpresenter": 34756, + "Ġmines": 34757, + "CSS": 34758, + "ĠDual": 34759, + "(!(": 34760, + "Ġkam": 34761, + "ĠisLoading": 34762, + "ĠProtect": 34763, + ".upper": 34764, + "arium": 34765, + "]:ĊĊĊ": 34766, + "Yii": 34767, + "-shirt": 34768, + "ĠIMAGE": 34769, + "_colors": 34770, + "Ġurgent": 34771, + ".Container": 34772, + "!(Ċ": 34773, + "Saturday": 34774, + "Ġsocieties": 34775, + "ĠThan": 34776, + "ĠCod": 34777, + "=@": 34778, + "Ġattachments": 34779, + ".mobile": 34780, + "Ġspite": 34781, + "Ġbounce": 34782, + "rawl": 34783, + "instancetype": 34784, + "ĠTruck": 34785, + "Ġmanipulation": 34786, + "(Config": 34787, + "-inst": 34788, + "Ġstor": 34789, + "itution": 34790, + "PreferredGap": 34791, + "ĠmainAxisAlignment": 34792, + "Ġlistened": 34793, + "'''ĊĊ": 34794, + "ottage": 34795, + "-project": 34796, + ".APPLICATION": 34797, + "ĉroot": 34798, + "Ġwhit": 34799, + "Ġbilder": 34800, + "Ġker": 34801, + "Ġappliances": 34802, + "rowave": 34803, + "ìĿĢ": 34804, + "ematics": 34805, + "ĠOrg": 34806, + "oping": 34807, + "_SEARCH": 34808, + "Ġcham": 34809, + "addContainerGap": 34810, + "Ġ().": 34811, + "ĠArrow": 34812, + "Illegal": 34813, + "Currently": 34814, + "Ġusa": 34815, + "Ġpasswords": 34816, + "Ġrenown": 34817, + "avern": 34818, + "ĠEvil": 34819, + "Ġconcat": 34820, + "Ġduo": 34821, + "Ġvale": 34822, + "ĠBean": 34823, + "Ġindicators": 34824, + "cmath": 34825, + "ĠPump": 34826, + "November": 34827, + "ificant": 34828, + "_DOMAIN": 34829, + "regar": 34830, + "ĠPortal": 34831, + "\"$": 34832, + "Ġformerly": 34833, + "\"]:Ċ": 34834, + "ĠVisibility": 34835, + ".getElementsByClassName": 34836, + "_RED": 34837, + "Ġchampions": 34838, + "à´": 34839, + "Valor": 34840, + "_es": 34841, + "*a": 34842, + "-repeat": 34843, + "Band": 34844, + ".stage": 34845, + "Ġbureauc": 34846, + "Cnt": 34847, + "eten": 34848, + "-function": 34849, + "Ġmuito": 34850, + "PID": 34851, + "_editor": 34852, + "Ġcrashed": 34853, + "dead": 34854, + "kat": 34855, + "agh": 34856, + "ĠEXT": 34857, + "asser": 34858, + "-small": 34859, + "Ġrealiz": 34860, + "(Entity": 34861, + "ús": 34862, + "ĠActually": 34863, + "ĠElite": 34864, + "Ġhelm": 34865, + "(nonatomic": 34866, + "asher": 34867, + "Community": 34868, + "alleng": 34869, + "iry": 34870, + "ĠGrowth": 34871, + "Ġsue": 34872, + "Ġfrequencies": 34873, + "_descriptor": 34874, + ".Attribute": 34875, + "Ġrecipients": 34876, + "_NS": 34877, + "/\"+": 34878, + "iban": 34879, + "Ġathlete": 34880, + "ĠIgn": 34881, + "_DMA": 34882, + "(ds": 34883, + "ĠRequirements": 34884, + "ADI": 34885, + "erez": 34886, + "\\Admin": 34887, + "braska": 34888, + "ĠRust": 34889, + "Relation": 34890, + "COD": 34891, + "ĠVERSION": 34892, + "emma": 34893, + ")){": 34894, + ".Duration": 34895, + "ĠCamb": 34896, + "-logo": 34897, + "Ġreadable": 34898, + "Ġcreators": 34899, + "()];Ċ": 34900, + "UpDown": 34901, + "-half": 34902, + ".getMonth": 34903, + "(sf": 34904, + "Pic": 34905, + "Ġhunger": 34906, + ".tx": 34907, + "Ġexceeded": 34908, + "_seed": 34909, + "(^": 34910, + "_sk": 34911, + ".perform": 34912, + "Ġ>::": 34913, + "Ġmongo": 34914, + "=float": 34915, + "bindParam": 34916, + "Smart": 34917, + "ifa": 34918, + "Ġsecurities": 34919, + "Ġprejud": 34920, + "Ġ,\"": 34921, + "Ġcorps": 34922, + "Ġvra": 34923, + "amacare": 34924, + "iterr": 34925, + "(Media": 34926, + "uche": 34927, + "Ġcob": 34928, + "Ġliber": 34929, + ".geometry": 34930, + "Locator": 34931, + "Ġsliding": 34932, + "Ġsurgical": 34933, + "_CUR": 34934, + "Ġconsect": 34935, + "[*": 34936, + "ĠResort": 34937, + "Stub": 34938, + "_DOUBLE": 34939, + "ĠSoph": 34940, + "Ġelectoral": 34941, + "_disable": 34942, + "ĠÑģо": 34943, + "ĠLightning": 34944, + "Ġmentions": 34945, + "ocy": 34946, + "Ġleaked": 34947, + "Ġrelaxing": 34948, + "Presenter": 34949, + "vsp": 34950, + "Ġguilt": 34951, + "=-=-": 34952, + ".reply": 34953, + "ĠMirror": 34954, + "Camp": 34955, + "Ġ+#+#+#+": 34956, + "Ġ+#+#+#+#+#+": 34957, + ".Author": 34958, + "Ġdirective": 34959, + "-hook": 34960, + "íĦ°": 34961, + "}ĊĊĊĊĊ": 34962, + "@pytest": 34963, + "_rand": 34964, + "mis": 34965, + "Ġcolorful": 34966, + "uje": 34967, + "lasses": 34968, + "ĠClasses": 34969, + ".have": 34970, + "%),": 34971, + "é¢ĺ": 34972, + "Ġdisturbing": 34973, + "substring": 34974, + "ĠKoh": 34975, + "Invest": 34976, + "purchase": 34977, + "Ġrecycling": 34978, + "ĠART": 34979, + "ierarchy": 34980, + "Ġfps": 34981, + ".checkBox": 34982, + "íķ´": 34983, + "_material": 34984, + "ducation": 34985, + "Ġfw": 34986, + "udit": 34987, + "Ġreviewing": 34988, + "ĠSid": 34989, + "Syntax": 34990, + "ĠWritten": 34991, + "argar": 34992, + "UME": 34993, + "/q": 34994, + "Classifier": 34995, + "Official": 34996, + "Ġjazz": 34997, + "Ġomega": 34998, + "Physics": 34999, + "Ġlugar": 35000, + "_accessor": 35001, + ".commands": 35002, + "Ability": 35003, + "ĠBatch": 35004, + "RAM": 35005, + "Ġencounters": 35006, + ".Qu": 35007, + "BYTE": 35008, + "ĠDistribution": 35009, + "Ġuso": 35010, + "ĠRecovery": 35011, + "approved": 35012, + "Ġdenial": 35013, + "/share": 35014, + "LinkedList": 35015, + ")čĊčĊčĊ": 35016, + "uddy": 35017, + "Ġfines": 35018, + "Ġry": 35019, + "Unicode": 35020, + "ĉrender": 35021, + "Ġpremises": 35022, + "Ġpon": 35023, + "aliases": 35024, + "/Foundation": 35025, + "cuda": 35026, + "ĠCock": 35027, + ",:)": 35028, + "(folder": 35029, + "Ġméd": 35030, + "drag": 35031, + "Ġtalents": 35032, + "ĠĠĠĊĊ": 35033, + "еÑģÑĤв": 35034, + "mob": 35035, + ".yml": 35036, + "Ġaster": 35037, + "Ġdiscre": 35038, + "goal": 35039, + "ĠGTX": 35040, + "ĠSUCCESS": 35041, + "ĠLONG": 35042, + "(find": 35043, + "Ġsingular": 35044, + "_sz": 35045, + "ĠEthereum": 35046, + "..Ċ": 35047, + "Ġirres": 35048, + "')){Ċ": 35049, + "Ġministers": 35050, + "Steps": 35051, + "iversal": 35052, + "ĠNevertheless": 35053, + "-led": 35054, + "Ġ(%)": 35055, + "ç¡®": 35056, + "Ġtimezone": 35057, + "Ġstranger": 35058, + "(render": 35059, + "Ġshutil": 35060, + "Ġmph": 35061, + "Ġtrio": 35062, + "ppy": 35063, + "Ġpredomin": 35064, + "Ġendors": 35065, + "ĠRussians": 35066, + "ĉrow": 35067, + "Ġwizard": 35068, + ".serialize": 35069, + "Ġcomplained": 35070, + "Ġsido": 35071, + "Ġdelighted": 35072, + "-me": 35073, + "ĠRav": 35074, + "Human": 35075, + "adays": 35076, + "recv": 35077, + "Working": 35078, + "Jump": 35079, + "ĠÃ¥r": 35080, + "ĠAutomatic": 35081, + "_Base": 35082, + "æł¼": 35083, + "aurants": 35084, + "¯": 35085, + "æ¸": 35086, + "(CType": 35087, + "IFI": 35088, + "(amount": 35089, + "Ġbelieving": 35090, + "=mysql": 35091, + "Ġfir": 35092, + "Ġrestoration": 35093, + "ereco": 35094, + "Т": 35095, + "_'+": 35096, + "Ġebook": 35097, + "Ġdebris": 35098, + "(inputs": 35099, + "AYOUT": 35100, + "Ġscreaming": 35101, + "avia": 35102, + "lander": 35103, + "Ġdistress": 35104, + "Ġassembled": 35105, + "ĠAvoid": 35106, + "(thread": 35107, + "ĠRPC": 35108, + "_EXIT": 35109, + "(queue": 35110, + "иÑģÑĤ": 35111, + "Dll": 35112, + "Ġskull": 35113, + "_pub": 35114, + "chez": 35115, + "minate": 35116, + "ensen": 35117, + "Ġinsane": 35118, + "bounds": 35119, + "ĠRosen": 35120, + "Ġconditioning": 35121, + "processed": 35122, + "videos": 35123, + "four": 35124, + ".Conv": 35125, + "|;Ċ": 35126, + "Personal": 35127, + "cerpt": 35128, + ":UIControlStateNormal": 35129, + "Ġdoses": 35130, + "ĠKarl": 35131, + "ĠFrequ": 35132, + ".BASE": 35133, + "ĠVote": 35134, + "Ġconcurrent": 35135, + "ĠMessageBoxIcon": 35136, + "ĠÃĸ": 35137, + "ĠDubai": 35138, + "ĠRetail": 35139, + ":number": 35140, + "ĠObserver": 35141, + "ĠBigInteger": 35142, + "_origin": 35143, + "_WORK": 35144, + "Frames": 35145, + "Ġnotably": 35146, + ".âĢľ": 35147, + "Ġtropical": 35148, + "Ġniche": 35149, + "amina": 35150, + ".sys": 35151, + "(tokens": 35152, + "modify": 35153, + "osit": 35154, + "strom": 35155, + "ĠComics": 35156, + "OPTION": 35157, + "Ticket": 35158, + "Ġfactories": 35159, + "Ġdisput": 35160, + "_File": 35161, + "ĠFinn": 35162, + "eee": 35163, + "ĠDiscord": 35164, + "_money": 35165, + ".tpl": 35166, + "_safe": 35167, + "LB": 35168, + "Ġglut": 35169, + "JK": 35170, + ".flow": 35171, + "-cont": 35172, + "gos": 35173, + "Ġhorizon": 35174, + "ĠRush": 35175, + "::*": 35176, + "Pipe": 35177, + "ulla": 35178, + "borough": 35179, + "heimer": 35180, + "(move": 35181, + "(Text": 35182, + "});čĊčĊ": 35183, + "welcome": 35184, + "ĠComponents": 35185, + "Ġgovernance": 35186, + "closed": 35187, + "ĉmargin": 35188, + "Ġlaundry": 35189, + "ĠTerminal": 35190, + "izards": 35191, + ".âĢĶ": 35192, + ".remote": 35193, + ".radius": 35194, + "ĠQuebec": 35195, + "Ġdh": 35196, + "Tech": 35197, + "ĠMist": 35198, + "seller": 35199, + "_literal": 35200, + "Ġgenius": 35201, + "Ġbrains": 35202, + "gem": 35203, + "ĠMeasure": 35204, + "Ġcatast": 35205, + "rance": 35206, + ".TextField": 35207, + "Ġconsuming": 35208, + "Ġ'\\''": 35209, + "oubtedly": 35210, + "ĠCertain": 35211, + "Ev": 35212, + "erti": 35213, + "being": 35214, + "Experience": 35215, + "Ġ//[": 35216, + "ĠArabic": 35217, + "ĠCrist": 35218, + "ĠAzure": 35219, + "Ġhora": 35220, + "ladesh": 35221, + "\\Blueprint": 35222, + "dar": 35223, + ".rel": 35224, + "Ġsuprem": 35225, + "ĠReagan": 35226, + "ĠAttributes": 35227, + "-sidebar": 35228, + "ĠuseStyles": 35229, + "ĠAirlines": 35230, + "Ġhills": 35231, + "/xhtml": 35232, + "vinc": 35233, + "_mock": 35234, + "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 35235, + "ĠPill": 35236, + ".LayoutStyle": 35237, + "ĠCommander": 35238, + "]<": 35239, + "signature": 35240, + "Ġ{}čĊ": 35241, + "Ġhatred": 35242, + "Ġëĭ": 35243, + "olesterol": 35244, + "Ġ********": 35245, + "ancellor": 35246, + "crop": 35247, + "TIM": 35248, + "ĉĉĊĊ": 35249, + "ysqli": 35250, + "uitive": 35251, + "ĉunset": 35252, + "_sel": 35253, + "Ġmenus": 35254, + "tick": 35255, + "Ġconstitute": 35256, + "ĠElements": 35257, + "ĠRedis": 35258, + "aggio": 35259, + "_fp": 35260, + "_depend": 35261, + "emas": 35262, + "CAST": 35263, + "orange": 35264, + "jon": 35265, + "ĠEmily": 35266, + "Ġpotatoes": 35267, + "Ġreceptor": 35268, + "ĠElectronic": 35269, + "ĠLights": 35270, + "Ġcombining": 35271, + "ĠSomeone": 35272, + "Ġ########.": 35273, + "ĠTOD": 35274, + "/show": 35275, + "Xd": 35276, + ".\"'": 35277, + "afx": 35278, + "Ġtragic": 35279, + "Styled": 35280, + "ĠMarco": 35281, + "Gallery": 35282, + "dale": 35283, + ".âĢĿĊĊĊĊ": 35284, + "érie": 35285, + "/service": 35286, + "äºĨ": 35287, + "Ġambient": 35288, + "_SETTINGS": 35289, + ".Adapter": 35290, + "lene": 35291, + "Ġtravels": 35292, + "Notice": 35293, + "Ġcleans": 35294, + "ĠFem": 35295, + "chair": 35296, + "Ñĥн": 35297, + "/my": 35298, + "_bad": 35299, + "ĠEconomics": 35300, + "ISA": 35301, + "_CNT": 35302, + "(Menu": 35303, + "äºİ": 35304, + "ĠRidge": 35305, + "Ġlengthy": 35306, + "Dot": 35307, + "Ġjumps": 35308, + "Ġhey": 35309, + "$pdf": 35310, + "Ġworm": 35311, + "Ġsut": 35312, + "Ġsher": 35313, + "iamo": 35314, + "ĠCalc": 35315, + "trieve": 35316, + "Ġcops": 35317, + "ĠChrom": 35318, + "Ġregulated": 35319, + "reatment": 35320, + "ĠHigher": 35321, + "oks": 35322, + "Ġdeze": 35323, + "LOCATION": 35324, + "ongsTo": 35325, + "Ġfinite": 35326, + "Ġvaries": 35327, + "Ġpositioned": 35328, + "'il": 35329, + "éĩij": 35330, + "Ġhike": 35331, + "(done": 35332, + "playlist": 35333, + "Ġada": 35334, + "Ġcoastal": 35335, + "ĠNancy": 35336, + ".DateTimeField": 35337, + "CppCodeGen": 35338, + "ĠSimilarly": 35339, + "reur": 35340, + "ĠContr": 35341, + "ĠHidden": 35342, + "ĠBeta": 35343, + "atched": 35344, + "_install": 35345, + ".Output": 35346, + "Lookup": 35347, + "ĠRichmond": 35348, + "quared": 35349, + "Ġmanga": 35350, + "-controls": 35351, + "ĠBernard": 35352, + "Large": 35353, + "Ġslices": 35354, + "Ġoffence": 35355, + "ĠMega": 35356, + "Ġestar": 35357, + "Ġjoints": 35358, + "Ġsumm": 35359, + "_platform": 35360, + "Buff": 35361, + ".addSubview": 35362, + "Ġretained": 35363, + "Letter": 35364, + ".dim": 35365, + "Ġessere": 35366, + "ĠScaffold": 35367, + "EXPECT": 35368, + "ĉRE": 35369, + ".longitude": 35370, + "ünd": 35371, + "Ġstatue": 35372, + ".addWidget": 35373, + "ĠCaribbean": 35374, + "addPreferredGap": 35375, + "ilde": 35376, + "UILabel": 35377, + "ĠOpport": 35378, + "Ġimperial": 35379, + "ursion": 35380, + "Ġmandate": 35381, + "Ġpromotional": 35382, + "Ġvk": 35383, + "iaÅĤ": 35384, + "Ġpyl": 35385, + "ĠCreation": 35386, + "озд": 35387, + "Ġsimpler": 35388, + ".what": 35389, + "ĠRecent": 35390, + "Storm": 35391, + ".quantity": 35392, + "ĠLov": 35393, + "\"-": 35394, + "ubbles": 35395, + "_notification": 35396, + "(world": 35397, + "urger": 35398, + "*(-": 35399, + ":\"Ċ": 35400, + "hm": 35401, + "anship": 35402, + "ĠAlmost": 35403, + "Ġmotorcycle": 35404, + "_fee": 35405, + "Ġabsorb": 35406, + "ĠVincent": 35407, + "Ġsounded": 35408, + "ÃŃst": 35409, + "Ġpharmaceutical": 35410, + "htag": 35411, + "ĠKindle": 35412, + "italize": 35413, + "ĠEmperor": 35414, + "oustic": 35415, + "Ġspecialists": 35416, + "åħ¬": 35417, + "BorderStyle": 35418, + "/\\": 35419, + "RELATED": 35420, + "(',',": 35421, + "(expr": 35422, + "Ġht": 35423, + "åįĪ": 35424, + "_Create": 35425, + "Ġspecially": 35426, + "Ġ[];čĊ": 35427, + "Ġheel": 35428, + "Ġsept": 35429, + "_arch": 35430, + "(initial": 35431, + "%.ĊĊ": 35432, + "\\\",\\\"": 35433, + "Ġdiscusses": 35434, + "Ġupt": 35435, + "Ġ[&": 35436, + "Ġmanus": 35437, + ".hand": 35438, + "ĠMAIN": 35439, + "ĠDenmark": 35440, + "Ġ],čĊ": 35441, + "Ġcryst": 35442, + "Ġnack": 35443, + "Coords": 35444, + "_inner": 35445, + "Ġmidst": 35446, + "Ġawake": 35447, + "ĠÐŀ": 35448, + "-break": 35449, + "ÃŃvel": 35450, + "_PASS": 35451, + "ĠParams": 35452, + "Ġdetr": 35453, + "Ġspider": 35454, + "ĠConcept": 35455, + "Ġprend": 35456, + "CHED": 35457, + ".Exit": 35458, + "Ġpopulated": 35459, + "Ġvirtue": 35460, + "_SESSION": 35461, + "Ġnouvel": 35462, + "oauth": 35463, + "ĠданнÑĭ": 35464, + "rink": 35465, + ".HeaderText": 35466, + "aturated": 35467, + "Ġerst": 35468, + "Ġåħ": 35469, + "à¥ĩ": 35470, + "_visible": 35471, + "eyer": 35472, + "Ġliable": 35473, + "Ġdebe": 35474, + "Ġbw": 35475, + "{-#": 35476, + "_WIN": 35477, + "dfs": 35478, + "Hover": 35479, + "ĠPUT": 35480, + "-angle": 35481, + "Ġnoble": 35482, + "Ġtraces": 35483, + "encv": 35484, + "ĠuserData": 35485, + "_ins": 35486, + "ĠSuz": 35487, + "Ġnewsletters": 35488, + "ĠModi": 35489, + "Ġentrepreneurs": 35490, + "Ġtribute": 35491, + "Ġrumors": 35492, + "Ġrr": 35493, + "ĠQuarter": 35494, + "ê³ł": 35495, + "Ġfeeds": 35496, + "óg": 35497, + "Ġenvelope": 35498, + "Ġlear": 35499, + "Ġkø": 35500, + "developer": 35501, + "Similar": 35502, + ":\")Ċ": 35503, + "subscription": 35504, + "Modifier": 35505, + "italic": 35506, + "Ġnasty": 35507, + "Ġtermination": 35508, + "Ġcharming": 35509, + "ĠâŁ": 35510, + "tons": 35511, + ".trace": 35512, + "hots": 35513, + "ĠUR": 35514, + "Mont": 35515, + "Ġjustified": 35516, + "ĠGang": 35517, + "inea": 35518, + "Ġbog": 35519, + "(ap": 35520, + "_$": 35521, + "Ġcontamin": 35522, + ".Dot": 35523, + "ĉDebug": 35524, + "(exports": 35525, + "Ġpaired": 35526, + "ĠAssignment": 35527, + "Ġautomobile": 35528, + "ĵį": 35529, + "Ġphases": 35530, + "vw": 35531, + "@SuppressWarnings": 35532, + "=\\": 35533, + "rant": 35534, + "-ed": 35535, + "ĉawait": 35536, + "Ġcertificates": 35537, + "'>\"": 35538, + "Ġintact": 35539, + "CTRL": 35540, + "Mike": 35541, + "gregation": 35542, + "ATTERN": 35543, + "Ġrepublic": 35544, + "_upper": 35545, + "iliary": 35546, + "Ġcomputation": 35547, + "hire": 35548, + "ĠShin": 35549, + "_ANY": 35550, + "ĠManufacturer": 35551, + "ĠCarm": 35552, + "Ġbearings": 35553, + "_comb": 35554, + "cad": 35555, + "uristic": 35556, + "Ġwholesale": 35557, + "Ġdonor": 35558, + ".interfaces": 35559, + "presso": 35560, + "ĠBrun": 35561, + "-close": 35562, + "prove": 35563, + "_SK": 35564, + "ĉframe": 35565, + "etros": 35566, + "ĠPain": 35567, + "_EXP": 35568, + "ĠLT": 35569, + "_fs": 35570, + ".datas": 35571, + "ĉss": 35572, + "voir": 35573, + "ĠAxis": 35574, + "Major": 35575, + "=\"<": 35576, + "[h": 35577, + "Ġprofess": 35578, + "igrate": 35579, + "(score": 35580, + "Keyword": 35581, + "\"os": 35582, + "ĠĠĠĠĉĊ": 35583, + "analysis": 35584, + "Ġreplay": 35585, + ".pass": 35586, + "\\d": 35587, + "tls": 35588, + "Ġsanct": 35589, + ".light": 35590, + "_mobile": 35591, + "ÑģÑĤÑĮ": 35592, + "ĉtotal": 35593, + "uity": 35594, + "Ġpaused": 35595, + "NAS": 35596, + "Ġencore": 35597, + "loe": 35598, + "Ġ-*-ĊĊ": 35599, + ".high": 35600, + "ampler": 35601, + "ĠSecure": 35602, + "Ġfragments": 35603, + "_vel": 35604, + "illary": 35605, + "ĠStein": 35606, + "ĠDawn": 35607, + "Ġmaximize": 35608, + "ย": 35609, + "Ġ/^": 35610, + "Ġcontinually": 35611, + "Ġshadows": 35612, + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 35613, + "ĠIActionResult": 35614, + "Ġinformación": 35615, + "CHECK": 35616, + ".SelectedItem": 35617, + "bundle": 35618, + "olley": 35619, + "<": 35781, + "Ġtrajectory": 35782, + "_ring": 35783, + "Ġhydrogen": 35784, + "tron": 35785, + "Ġstatute": 35786, + "Ġconditional": 35787, + "Ġtray": 35788, + "-school": 35789, + "(widget": 35790, + "$config": 35791, + "Ġrequesting": 35792, + ".uint": 35793, + "eton": 35794, + "brities": 35795, + "OfType": 35796, + "ADMIN": 35797, + "predict": 35798, + "Ġgegen": 35799, + "ĠHapp": 35800, + "OCUMENT": 35801, + "ĠApart": 35802, + "Ġ-----": 35803, + "roe": 35804, + "uide": 35805, + "justify": 35806, + "ĠSquad": 35807, + "Ġprofes": 35808, + ".bot": 35809, + "_currency": 35810, + "innen": 35811, + "ĠMumbai": 35812, + "ĠNumbers": 35813, + "avanaugh": 35814, + "agnitude": 35815, + "âĢľThere": 35816, + "=http": 35817, + "çīĩ": 35818, + "Ġvb": 35819, + "+'{{$": 35902, + "Ġinode": 35903, + "sil": 35904, + "Ġhace": 35905, + "Ġseverely": 35906, + "ĠOverview": 35907, + "Ġspraw": 35908, + "Ġbeaches": 35909, + ":left": 35910, + "·»": 35911, + "(${": 35912, + "ĠFIRST": 35913, + "ĠSpa": 35914, + "-ass": 35915, + "Ġbaise": 35916, + "ĠNODE": 35917, + "ĠPizza": 35918, + "Pet": 35919, + "(seq": 35920, + "\\\">Ċ": 35921, + "CppMethodPointer": 35922, + "Ġvp": 35923, + "Ġia": 35924, + "_seconds": 35925, + "emet": 35926, + "/blob": 35927, + "_THRESH": 35928, + "...čĊ": 35929, + "Dest": 35930, + "ĠNH": 35931, + ".dataSource": 35932, + "ités": 35933, + "ĠJak": 35934, + "sell": 35935, + "Ġworkshops": 35936, + "\",Ċ": 36552, + "_Pin": 36553, + "uese": 36554, + "Ġoverrides": 36555, + "_ready": 36556, + "Advanced": 36557, + "Ġopi": 36558, + "-cart": 36559, + "(\"/\",": 36560, + "ĠDeb": 36561, + "CRY": 36562, + "ĠVertical": 36563, + "ĠOVER": 36564, + "ĠCorporate": 36565, + "Ġ\"\";": 36566, + "Ġstepping": 36567, + "ej": 36568, + "Ġaccusations": 36569, + "Ġoraz": 36570, + "_tail": 36571, + "Ġinduced": 36572, + "Ġelastic": 36573, + "Ġblown": 36574, + ",//": 36575, + "Ġbackgrounds": 36576, + "âĢĻune": 36577, + "-sdk": 36578, + "ĠsetInterval": 36579, + "Ġincentives": 36580, + "Ġvegetable": 36581, + "_On": 36582, + "expanded": 36583, + "pix": 36584, + "_shader": 36585, + "ĠSPDX": 36586, + "@example": 36587, + "ĠWrapper": 36588, + ".Zero": 36589, + "Positive": 36590, + "Ġspinner": 36591, + "Ġinvented": 36592, + "ĠGates": 36593, + "оÑĤоÑĢ": 36594, + "Ġcomparisons": 36595, + "è·": 36596, + ".primary": 36597, + "dataProvider": 36598, + "additional": 36599, + "ĉoptions": 36600, + "snapshot": 36601, + ".setHorizontal": 36602, + "Ġ\"{}": 36603, + "ĠFisher": 36604, + "halten": 36605, + "": 36638, + "ĠRegistered": 36639, + "INED": 36640, + "kal": 36641, + "parison": 36642, + "Ġobjeto": 36643, + "Vi": 36644, + "manda": 36645, + "Ġrenewed": 36646, + "ĠSof": 36647, + "essel": 36648, + ".ndarray": 36649, + "Ġcrap": 36650, + "管": 36651, + ".abspath": 36652, + "(up": 36653, + "Ġclearance": 36654, + "ĠTW": 36655, + "_COPY": 36656, + "ĠĠĠĠĠĠĠĠĠĠĠĠĉ": 36657, + "Ġforests": 36658, + "Ġarguably": 36659, + "ĠASS": 36660, + "hey": 36661, + "amel": 36662, + "_fore": 36663, + "ĠSoutheast": 36664, + "Ġabused": 36665, + "Ġpracticing": 36666, + "akedirs": 36667, + "主": 36668, + "_resources": 36669, + "Ġpond": 36670, + ".Fixed": 36671, + "LastError": 36672, + "ĠPsychology": 36673, + "Ġ\"//": 36674, + "!:": 36675, + "Reusable": 36676, + "Ġmensaje": 36677, + "Ġrospy": 36678, + "Ġbour": 36679, + "Ġvarieties": 36680, + "Ġempath": 36681, + "(({": 36682, + "_org": 36683, + "ĠMes": 36684, + "ĠMagento": 36685, + "ISTORY": 36686, + "Unless": 36687, + "Ġhj": 36688, + "ĠDuty": 36689, + "Jun": 36690, + ",size": 36691, + "Ġpaintings": 36692, + "Ġdispens": 36693, + "dart": 36694, + "Ġbehavioral": 36695, + "Ġrpc": 36696, + "calculate": 36697, + "fruit": 36698, + "_mm": 36699, + "ĉpthread": 36700, + "MaxLength": 36701, + "Ġcurrencies": 36702, + "_capacity": 36703, + "ĠOz": 36704, + "Ġfirearm": 36705, + "Ġcoefficient": 36706, + "Ġbankruptcy": 36707, + "wart": 36708, + "Ġfatigue": 36709, + "AVA": 36710, + "Ġespa": 36711, + "_pc": 36712, + "ĠQuotes": 36713, + "_LIGHT": 36714, + "ĠTickets": 36715, + "Ġrelates": 36716, + "Ġpublishers": 36717, + "Ġunlocked": 36718, + "Ġ//----------------------------------------------------------------": 36719, + "ĠInterruptedException": 36720, + "Ġoutlook": 36721, + "rn": 36722, + "Ġrebels": 36723, + "Written": 36724, + "Ġasian": 36725, + "otto": 36726, + "Ġĉĉĉĉ": 36727, + "_gpu": 36728, + "Txt": 36729, + ".ImageView": 36730, + "Ġsuis": 36731, + "_tables": 36732, + ".RecyclerView": 36733, + "Ġwhatsoever": 36734, + "èģ": 36735, + "]++;Ċ": 36736, + "assertTrue": 36737, + "_verify": 36738, + "ĠRivers": 36739, + "Ġ][": 36740, + "Jet": 36741, + "idian": 36742, + "Sibling": 36743, + "Ġgenres": 36744, + ".Access": 36745, + "OPS": 36746, + "Ġtrivial": 36747, + "ส": 36748, + "alen": 36749, + "вед": 36750, + "ĠSword": 36751, + "Ġscrutiny": 36752, + "(cb": 36753, + "Ġcommerce": 36754, + "Ġguarantees": 36755, + "_adv": 36756, + "ĠLET": 36757, + "recio": 36758, + "Ġhilar": 36759, + "Ġbackyard": 36760, + "ãĢı": 36761, + "Ġillustrated": 36762, + "/vendor": 36763, + ".Util": 36764, + "Ġwow": 36765, + "LOY": 36766, + "ĠMarshal": 36767, + "\">'.$": 36768, + "ĠBak": 36769, + "Ġmodifiers": 36770, + "dictionary": 36771, + "ĠStre": 36772, + "multiple": 36773, + "\")),": 36774, + "ĠCort": 36775, + "']\").": 36776, + "(admin": 36777, + "ĠCreator": 36778, + "Internet": 36779, + "(ms": 36780, + "logy": 36781, + "DECLARE": 36782, + "ĠMarcus": 36783, + "<<<<": 36784, + "ãģł": 36785, + "_my": 36786, + "(inst": 36787, + "Ġsciences": 36788, + "NDER": 36789, + ".enter": 36790, + "Ġitu": 36791, + "Ġbehave": 36792, + "Pan": 36793, + "ombies": 36794, + "='<": 36795, + "'));čĊ": 36796, + "ĠMENU": 36797, + "ĠWorkers": 36798, + ".NoError": 36799, + "Ġbindings": 36800, + "Ġdisabilities": 36801, + "{\\": 36802, + "ĠMunicip": 36803, + "Ġcores": 36804, + "urple": 36805, + "ĠNokia": 36806, + "usions": 36807, + "ĠFitness": 36808, + ".handleChange": 36809, + "Ġjavascript": 36810, + "ìļĶ": 36811, + "(dec": 36812, + "Ġpacking": 36813, + "-depend": 36814, + "Ġtranscript": 36815, + "zeros": 36816, + "_alert": 36817, + "?\",Ċ": 36818, + "libs": 36819, + "±Ð¾ÑĤ": 36820, + "Ġ|ĊĊ": 36821, + "trained": 36822, + "ĠGent": 36823, + "ĠRab": 36824, + "xp": 36825, + "_configuration": 36826, + "天": 36827, + "_accept": 36828, + ".recyclerview": 36829, + ":url": 36830, + "ĠMuhammad": 36831, + "Ġprivileges": 36832, + "_bank": 36833, + "uku": 36834, + "wallet": 36835, + "ĠROOT": 36836, + "Ġencuent": 36837, + "?family": 36838, + "ĉposition": 36839, + "Ġcg": 36840, + "Ġprecip": 36841, + "methods": 36842, + "_fast": 36843, + "increment": 36844, + "ĠTiger": 36845, + "_OCCURRED": 36846, + "quip": 36847, + "ĠHAS": 36848, + "_dom": 36849, + "Ġwreck": 36850, + "bj": 36851, + "Ġdern": 36852, + "Ġorgans": 36853, + ".entries": 36854, + "Ġ_('": 36855, + "ramento": 36856, + "ĠJamie": 36857, + "Ġpunk": 36858, + "IPP": 36859, + "Ġprograma": 36860, + "Ġattain": 36861, + "Ġproves": 36862, + "/sign": 36863, + "Ġanswering": 36864, + "Ġladder": 36865, + "****************************": 36866, + "ĠWalmart": 36867, + "ĠCONTENT": 36868, + "ductor": 36869, + "Ġverbal": 36870, + "ĠPID": 36871, + "crypto": 36872, + "_CALLBACK": 36873, + "Ġ=================================": 36874, + "Ġpotent": 36875, + "Ġshorts": 36876, + ".Uri": 36877, + ".uniform": 36878, + ";border": 36879, + "ĠWer": 36880, + "Ġherein": 36881, + "lla": 36882, + "ĠIhr": 36883, + "Pixmap": 36884, + "literal": 36885, + "!)ĊĊ": 36886, + "generic": 36887, + "rust": 36888, + "_scripts": 36889, + "osto": 36890, + "itus": 36891, + "ĠCoalition": 36892, + "Ġremot": 36893, + "deploy": 36894, + "ĠEagle": 36895, + "ãĢģãĢĮ": 36896, + "Ġimportante": 36897, + "ĉobject": 36898, + "Ġseasonal": 36899, + "nej": 36900, + "aidu": 36901, + "BindView": 36902, + "ĠSierra": 36903, + "-bg": 36904, + "ĠmakeStyles": 36905, + "[offset": 36906, + "Games": 36907, + "Ġhormone": 36908, + "ARIO": 36909, + "heads": 36910, + "(select": 36911, + "ĠStarted": 36912, + "@param": 36913, + "_decl": 36914, + "_blog": 36915, + "Ġaño": 36916, + "\\Api": 36917, + "ĠMilwaukee": 36918, + "Provid": 36919, + "Animated": 36920, + "Ġcooler": 36921, + "ĠSeed": 36922, + ".Edit": 36923, + "ÏĦ": 36924, + "ĠTaking": 36925, + "ĠborderColor": 36926, + "-founder": 36927, + ".LoggerFactory": 36928, + "Ġ\"\"ĊĊ": 36929, + "ALT": 36930, + "ĠLate": 36931, + "EDIATE": 36932, + "Ġ);ĊĊĊ": 36933, + "afa": 36934, + "Ġcancellation": 36935, + "Atom": 36936, + "ĠBirmingham": 36937, + "empresa": 36938, + "HEMA": 36939, + "ascal": 36940, + "Ġupside": 36941, + ".Version": 36942, + "ĠFolder": 36943, + "ĠEight": 36944, + "ĠVintage": 36945, + "ĠAppDelegate": 36946, + "ĠPrevention": 36947, + ".separator": 36948, + "STM": 36949, + "(room": 36950, + "generator": 36951, + "Ġcattle": 36952, + "ĉZ": 36953, + "ĠParticle": 36954, + "'};Ċ": 36955, + "Ġneighbours": 36956, + "ĠStateless": 36957, + "Ġaltitude": 36958, + "Ġsaint": 36959, + "обав": 36960, + "Ġconvinc": 36961, + "ĠContents": 36962, + "Ġjeune": 36963, + "(ts": 36964, + "Serialization": 36965, + "(collection": 36966, + "ĠJazz": 36967, + "ĠDod": 36968, + "ĠRoch": 36969, + "acio": 36970, + "commended": 36971, + "DEFINE": 36972, + ".onload": 36973, + "Ġspecialty": 36974, + "PLACE": 36975, + "_MOVE": 36976, + "Ġaccountable": 36977, + "Reuters": 36978, + "Ġficken": 36979, + "Ġdepr": 36980, + "Wow": 36981, + "Void": 36982, + ".space": 36983, + "à¸Ĺ": 36984, + "Ġtq": 36985, + "ĠPets": 36986, + "<$": 36987, + "(Current": 36988, + "berries": 36989, + "planation": 36990, + "ĠlistOf": 36991, + "ĠThu": 36992, + "ĠPRINT": 36993, + "Ġmismo": 36994, + "Ġdoi": 36995, + "chk": 36996, + "ĠUnicode": 36997, + "(role": 36998, + "Ġvirgin": 36999, + "-->Ċ": 37460, + "Vol": 37461, + "ĠSSD": 37462, + "))),": 37463, + ".Optional": 37464, + "Ġnurses": 37465, + "Ġorb": 37466, + "_pe": 37467, + ");čĊčĊčĊ": 37468, + "placed": 37469, + "esser": 37470, + "Ġtherapeutic": 37471, + "Ġwhitespace": 37472, + "Ġaston": 37473, + "Successful": 37474, + "Ġpraised": 37475, + "ĠWes": 37476, + "Ġeighth": 37477, + "iral": 37478, + "Ġvrouw": 37479, + "Ġfaction": 37480, + "_bias": 37481, + "Ġwitch": 37482, + "Ġnpc": 37483, + "(sb": 37484, + "ĠRodrig": 37485, + "_big": 37486, + "Dependency": 37487, + "ĠAbraham": 37488, + "ardi": 37489, + "CAR": 37490, + "nos": 37491, + "Ġabundance": 37492, + "Ġnutrients": 37493, + "instein": 37494, + ".Vert": 37495, + "ĠISS": 37496, + "D": 37595, + "Ġservlet": 37596, + "bastian": 37597, + "Ġ>&": 37598, + "SID": 37599, + "_clk": 37600, + "Ġdivisions": 37601, + "}',Ċ": 37602, + "Ġdildo": 37603, + "Ġparade": 37604, + "major": 37605, + "Ġaboard": 37606, + ";++": 37607, + "Ġfusion": 37608, + "\"},{\"": 37609, + "ĠDialogResult": 37610, + "ĉarr": 37611, + "-em": 37612, + "_nr": 37613, + "(handler": 37614, + ".NET": 37615, + ".XtraReports": 37616, + "ĠShah": 37617, + "ĠBrief": 37618, + "-,": 37619, + "Ġprecio": 37620, + "ĉĉĉĠĠĠĠĠĠ": 37621, + "Ġtant": 37622, + "ĠGrande": 37623, + "/xml": 37624, + "_ICON": 37625, + "ĠRetro": 37626, + "unque": 37627, + "Ġnag": 37628, + "toFixed": 37629, + "XL": 37630, + "Ġdeclaring": 37631, + "ĠConcrete": 37632, + "ĠAmazing": 37633, + "ĉprintk": 37634, + "Ġdebates": 37635, + "DATED": 37636, + "Ġaesthetic": 37637, + "emetery": 37638, + "RoutingModule": 37639, + "ĠNashville": 37640, + "WAYS": 37641, + "Ġwolf": 37642, + "Ġobservers": 37643, + "OTA": 37644, + "anson": 37645, + "Ġea": 37646, + "Ġgreenhouse": 37647, + "ĵįä½ľ": 37648, + "Ġstair": 37649, + "Ġimmigrant": 37650, + "_apply": 37651, + "peare": 37652, + "ĠBloomberg": 37653, + "_PLAYER": 37654, + "Resp": 37655, + "æŃ£": 37656, + "Chooser": 37657, + "ĠICollection": 37658, + "Peter": 37659, + "Erro": 37660, + ".detectChanges": 37661, + "Maps": 37662, + "Ġsqueeze": 37663, + "ĠHomes": 37664, + "wegian": 37665, + "Ġformatting": 37666, + "Ġnegotiate": 37667, + "uld": 37668, + "ĠNep": 37669, + "ĠQB": 37670, + "Ġeconomies": 37671, + "Ġ*/,": 37672, + "Ġredund": 37673, + "ĠAber": 37674, + ".IsNullOrWhiteSpace": 37675, + "ycled": 37676, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 37677, + "_Sh": 37678, + "Ġskept": 37679, + "Ġrecreated": 37680, + "ĠgetType": 37681, + "Ġmargins": 37682, + "Ġcolonial": 37683, + "charts": 37684, + "//@": 37685, + "Ġprocessors": 37686, + "说": 37687, + "batis": 37688, + "æĦı": 37689, + "atorio": 37690, + "mentioned": 37691, + "Patient": 37692, + "Ġprey": 37693, + "Checkbox": 37694, + "_xpath": 37695, + ".skip": 37696, + "ĠMormon": 37697, + "ĠMemoryStream": 37698, + "CREMENT": 37699, + "Ġku": 37700, + "meld": 37701, + "\\Data": 37702, + "ĠKernel": 37703, + "iltr": 37704, + "éĢģ": 37705, + "(profile": 37706, + "Carbon": 37707, + "ROLE": 37708, + "(pl": 37709, + "]*(": 37710, + ".memory": 37711, + "Ġmedal": 37712, + "Ġadvisor": 37713, + "ität": 37714, + "Ġhdr": 37715, + "ierung": 37716, + "ĠProvides": 37717, + "(alpha": 37718, + "Ġteenagers": 37719, + "-parser": 37720, + ".LatLng": 37721, + "]()Ċ": 37722, + "Ġfelony": 37723, + "ĉĉĉĊĉĉĉĊ": 37724, + "BOOK": 37725, + "Ġslash": 37726, + "Ġclearfix": 37727, + "ĠProphet": 37728, + "容": 37729, + "rightness": 37730, + "-fi": 37731, + ".kind": 37732, + "erton": 37733, + "Jim": 37734, + "Ġmanipulate": 37735, + "Ġworksheet": 37736, + "olin": 37737, + "stars": 37738, + "Ġartifact": 37739, + "_EMPTY": 37740, + "ĉmain": 37741, + "-------------';": 37809, + "Ġexpressing": 37810, + "ĠIQ": 37811, + "ĠFact": 37812, + "/*******************************************************************************Ċ": 37813, + "_mass": 37814, + ")):": 37815, + "Ġcondom": 37816, + "ĠcreateState": 37817, + "ometown": 37818, + "Ġirr": 37819, + "Ġ>(": 37820, + ">B": 37821, + "iteration": 37822, + "ãĥª": 37823, + "Ġshirts": 37824, + "ounty": 37825, + "->$": 37826, + "_SIGN": 37827, + "ĠDale": 37828, + "Ġjj": 37829, + "Easy": 37830, + "Fre": 37831, + "ĠNy": 37832, + "Ġchlor": 37833, + "matched": 37834, + "ĠGerm": 37835, + "-UA": 37836, + "ĠNathan": 37837, + "education": 37838, + "-yard": 37839, + "-che": 37840, + "houses": 37841, + "ritional": 37842, + "Ġproximity": 37843, + "Ġdiesem": 37844, + "áºŃp": 37845, + "Ġdrought": 37846, + ".audio": 37847, + "ĠLeo": 37848, + "Ġfavorable": 37849, + "inch": 37850, + "ĠDaw": 37851, + "ribly": 37852, + "_student": 37853, + "idable": 37854, + "OVE": 37855, + "Ġlacks": 37856, + "ouncing": 37857, + ".business": 37858, + "Ġreopen": 37859, + "maybe": 37860, + "_GLOBAL": 37861, + "Ġdresses": 37862, + "ĠEdwards": 37863, + "ensible": 37864, + "ĠHardware": 37865, + "ĠExcellent": 37866, + "ĠTimeUnit": 37867, + "CTIONS": 37868, + "Ġschedules": 37869, + "Ġsegue": 37870, + "Opens": 37871, + "ammen": 37872, + "-Identifier": 37873, + "Ġstaring": 37874, + "Ġhappily": 37875, + "ĠHob": 37876, + "'_": 37877, + "Ġ\");": 37878, + "amentos": 37879, + "etched": 37880, + "Ġ/>}Ċ": 37881, + ".Users": 37882, + "Ġinterrupted": 37883, + "Contacts": 37884, + "Ġregistro": 37885, + "inburgh": 37886, + "CHA": 37887, + "_imp": 37888, + "phis": 37889, + "say": 37890, + "Ġretailer": 37891, + ".NODE": 37892, + "/maps": 37893, + "_LAST": 37894, + "ĠCharge": 37895, + "_guard": 37896, + "Collider": 37897, + "ĠStatelessWidget": 37898, + "\":[\"": 37899, + "(\"../../": 37900, + "ioxide": 37901, + "ĠSund": 37902, + "Ġ'';": 37903, + "unset": 37904, + "addWidget": 37905, + "лÑİ": 37906, + "elles": 37907, + "alker": 37908, + "Arc": 37909, + "Ġdeduct": 37910, + "GUILayout": 37911, + "ĠVilla": 37912, + "Ġforbidden": 37913, + "_where": 37914, + "Ġ\\/": 37915, + "ĠTib": 37916, + "_AX": 37917, + "]čĊčĊ": 37918, + "ĠBir": 37919, + "Ġbend": 37920, + "ĠMAKE": 37921, + "ĠMET": 37922, + "Ġfutures": 37923, + "Ġweighted": 37924, + "\"\"\"čĊ": 37925, + "Ġauthorize": 37926, + "(program": 37927, + "},{\"": 37928, + "Ġcoefficients": 37929, + "ês": 37930, + "PerPage": 37931, + "ĠBathroom": 37932, + "ĠPublishing": 37933, + "GPL": 37934, + "Ġsubmissions": 37935, + "ĠNUMBER": 37936, + "jÄħ": 37937, + "Ġadditionally": 37938, + "empre": 37939, + "ĠShel": 37940, + "otyp": 37941, + "Solution": 37942, + "Ġthunder": 37943, + "_ec": 37944, + "ĠĊĠĠĠĠĊ": 37945, + "ĠFellow": 37946, + "Ġkay": 37947, + "ĠnewState": 37948, + "ONTAL": 37949, + "Implementation": 37950, + ".Look": 37951, + "Ġents": 37952, + "Ġlors": 37953, + "ĠBIG": 37954, + "fab": 37955, + "Ġaveraged": 37956, + "ĠFeedback": 37957, + "ĠWells": 37958, + "Ġmartial": 37959, + "Ġindul": 37960, + "ĠCommunist": 37961, + "ĠForex": 37962, + "ĠAgriculture": 37963, + "\"[": 37964, + "Ġquar": 37965, + "ĠKont": 37966, + "ĉview": 37967, + ".Bytes": 37968, + "desktop": 37969, + "ĠMakes": 37970, + "akespeare": 37971, + ".Nullable": 37972, + "Ġspotlight": 37973, + "VB": 37974, + "owy": 37975, + "(torch": 37976, + "tridge": 37977, + "_bounds": 37978, + "Ġapologize": 37979, + ".addItem": 37980, + "antd": 37981, + "*);Ċ": 37982, + ",u": 37983, + "(gen": 37984, + "ç»ĵ": 37985, + "reator": 37986, + "ĠCord": 37987, + "oupper": 37988, + ".metro": 37989, + "Ġew": 37990, + "ĠWORD": 37991, + ".After": 37992, + "Ġdetained": 37993, + "ĠHammer": 37994, + "existing": 37995, + "Ġost": 37996, + "Ġmonument": 37997, + "-custom": 37998, + "UserID": 37999, + "ĠNom": 38000, + "Ġrejection": 38001, + "(dim": 38002, + "Ġsingleton": 38003, + "ĉdie": 38004, + "ariance": 38005, + "reports": 38006, + "]!=": 38007, + "elda": 38008, + "Ġprevalence": 38009, + "_regs": 38010, + ".\".": 38011, + "Ġfeminist": 38012, + "Codec": 38013, + "Ġ**Ċ": 38014, + "(labels": 38015, + "_MARK": 38016, + "FAILED": 38017, + "Ġadministered": 38018, + "WN": 38019, + "ĠĠĠĠĠĠĠĠĉĉ": 38020, + "Ġnoun": 38021, + "wig": 38022, + "Ġgotta": 38023, + "Ġrif": 38024, + "-im": 38025, + "ĠPaulo": 38026, + "ĠCommandType": 38027, + "]))ĊĊ": 38028, + "-zero": 38029, + "Training": 38030, + "Ġlord": 38031, + "_art": 38032, + "reddit": 38033, + "Cert": 38034, + "Ġpeso": 38035, + "Rot": 38036, + "Ġendanger": 38037, + ".dr": 38038, + "userInfo": 38039, + "unts": 38040, + "nv": 38041, + "ĠTrailer": 38042, + "-first": 38043, + "(make": 38044, + "Ġbenefici": 38045, + "-black": 38046, + "iÃŁ": 38047, + "Ġundoubtedly": 38048, + "Ġmex": 38049, + "ĠAncient": 38050, + "(as": 38051, + "Ġdescent": 38052, + "Pick": 38053, + "Ġreplica": 38054, + "$obj": 38055, + "ähr": 38056, + "Ġarrows": 38057, + "fty": 38058, + "ĠLibya": 38059, + "uga": 38060, + "charged": 38061, + "Tur": 38062, + "Ġhomic": 38063, + "issen": 38064, + "ĠFake": 38065, + "Ġbeers": 38066, + "Ġscattered": 38067, + "(Time": 38068, + "UTIL": 38069, + "Ġbureaucr": 38070, + "/plain": 38071, + "Ġsticking": 38072, + "FAIL": 38073, + "ĠCovid": 38074, + "Third": 38075, + "_present": 38076, + "ĠPierre": 38077, + "Ġëª": 38078, + "Ġ[...]ĊĊ": 38079, + "Prob": 38080, + "ĠTraffic": 38081, + "icao": 38082, + "doctor": 38083, + "Ġ),ĊĊ": 38084, + "Tabs": 38085, + "alu": 38086, + "ï¼ļâĢľ": 38087, + "Ġinherent": 38088, + "_No": 38089, + "ritis": 38090, + "ĠProof": 38091, + ".basename": 38092, + "ä¼ļ": 38093, + "Ġchim": 38094, + "ĠProtected": 38095, + "crit": 38096, + "Ġprone": 38097, + "Ġкон": 38098, + "ĠHeroes": 38099, + "Ġanxious": 38100, + "Ġanos": 38101, + "Ġweekends": 38102, + "Ġsext": 38103, + "Ġreducer": 38104, + "=UTF": 38105, + "half": 38106, + "ĠSaw": 38107, + ".mm": 38108, + "Ġnueva": 38109, + ".currentTarget": 38110, + ".lua": 38111, + "_EXTENSION": 38112, + "ĉreg": 38113, + "ĠCtrl": 38114, + "_align": 38115, + "acceptable": 38116, + "Ġrushing": 38117, + "frac": 38118, + "Ġboasts": 38119, + "Five": 38120, + "±": 38121, + "ĠTemperature": 38122, + ">):": 38123, + "Ġcharter": 38124, + "REATED": 38125, + "Ġsubjected": 38126, + "Ġopc": 38127, + "healthy": 38128, + "使çĶ¨": 38129, + "ĠScientific": 38130, + "Ġfrau": 38131, + "riages": 38132, + "à¸Ķ": 38133, + ".inventory": 38134, + "ationale": 38135, + "Mad": 38136, + "minutes": 38137, + ">>();Ċ": 38138, + "ĠEnv": 38139, + "Ġrecordings": 38140, + "Ġsuspicion": 38141, + "sqlite": 38142, + "ĉread": 38143, + "ãģ¦": 38144, + "Ġworries": 38145, + ".putString": 38146, + "ĠShanghai": 38147, + "(uid": 38148, + "rer": 38149, + "ĠvÃŃde": 38150, + "\"):": 38151, + "Ġmethodology": 38152, + "ĠкоÑĤоÑĢ": 38153, + "ccc": 38154, + "avad": 38155, + "Ġinduction": 38156, + "ĉThread": 38157, + ",string": 38158, + "ại": 38159, + "nehmen": 38160, + "uition": 38161, + "Ġ*__": 38162, + ".emf": 38163, + "Ġìľ": 38164, + "/themes": 38165, + "ĠNine": 38166, + ".One": 38167, + "ĠEmbed": 38168, + "Ġfaz": 38169, + "uations": 38170, + "Ġprivately": 38171, + "Ġling": 38172, + "[F": 38173, + "ushi": 38174, + "Ġlaunches": 38175, + "(KEY": 38176, + "GMT": 38177, + "Ġaiming": 38178, + "patible": 38179, + "ĠBiden": 38180, + "iw": 38181, + "ĠDegree": 38182, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 38183, + "Ġ$('<": 38184, + "ários": 38185, + "toUpperCase": 38186, + "ìłľ": 38187, + "ĠEUR": 38188, + "Ġoversight": 38189, + "Ġtablesp": 38190, + "Updates": 38191, + ".makedirs": 38192, + "Ġhumidity": 38193, + "/template": 38194, + "Always": 38195, + "(IS": 38196, + "_cert": 38197, + "Dig": 38198, + "Ġunderway": 38199, + "orton": 38200, + "ĠHurricane": 38201, + "Ġspends": 38202, + "ĠSegment": 38203, + "Ġflies": 38204, + "ĠToggle": 38205, + "ĠLynch": 38206, + "Ġsenses": 38207, + "ĠKos": 38208, + "setEnabled": 38209, + "istically": 38210, + "Ġtester": 38211, + "Ġadministrators": 38212, + "Ġtagged": 38213, + "Ðĵ": 38214, + "Ġshortcut": 38215, + "ĠResolution": 38216, + "Ġsupervision": 38217, + "ĠAshley": 38218, + "Tracking": 38219, + "ulatory": 38220, + "andel": 38221, + "isten": 38222, + "Ġunre": 38223, + "(diff": 38224, + "ANTS": 38225, + "Ġrider": 38226, + "ĠsÄħ": 38227, + ".Series": 38228, + "_orders": 38229, + "ORIZONTAL": 38230, + "Ġretention": 38231, + "ãĢĤčĊčĊ": 38335, + "Ġdiagonal": 38336, + "ĠCancellationToken": 38337, + "_Internal": 38338, + "Ġruin": 38339, + ".Qt": 38340, + "ocratic": 38341, + "Tel": 38342, + "ĠAnswers": 38343, + "matic": 38344, + "Ġxp": 38345, + "atem": 38346, + "_jobs": 38347, + "_any": 38348, + "Ġseniors": 38349, + "Ġlandmark": 38350, + "ĠQList": 38351, + "Ġmaneu": 38352, + "otify": 38353, + "/\";Ċ": 38354, + "/server": 38355, + "ĠPhilosoph": 38356, + "utenant": 38357, + "(io": 38358, + "hz": 38359, + "Ġauthenticated": 38360, + "dv": 38361, + "-Compatible": 38362, + "Originally": 38363, + ",function": 38364, + "ãĢĤčĊ": 38365, + "ĠRepresentative": 38366, + "asily": 38367, + "ircuit": 38368, + ".dt": 38369, + "(math": 38370, + ".Marshal": 38371, + "[,": 38372, + "ĠCities": 38373, + "_turn": 38374, + "|)Ċ": 38375, + "Ġcantidad": 38376, + "alter": 38377, + "ĉui": 38378, + "ĠNebraska": 38379, + "Ġskirt": 38380, + ".bg": 38381, + "SharedPreferences": 38382, + "(style": 38383, + "Ġgrief": 38384, + "gew": 38385, + "Ġsafeg": 38386, + "olang": 38387, + "_lists": 38388, + "ìĽ": 38389, + "Ġgranite": 38390, + "Ġhottest": 38391, + ".jdbc": 38392, + ".Customer": 38393, + "Ġâī¤": 38394, + "Ġwaar": 38395, + "_scene": 38396, + "+'/": 38397, + "ĠJTextField": 38398, + "Ġseating": 38399, + "Ġwears": 38400, + "Ġ`/": 38401, + "Cases": 38402, + "ĠYoutube": 38403, + "ım": 38404, + "Ġbalcon": 38405, + ",G": 38406, + "MetaData": 38407, + "-price": 38408, + "SCR": 38409, + "Unity": 38410, + "Ġtrunk": 38411, + "={`${": 38412, + "Ġearthquake": 38413, + "Partial": 38414, + "Ġsubst": 38415, + "Ġelimin": 38416, + "=\"'.": 38417, + "//*[@": 38418, + "Ġsupervisor": 38419, + "vrolet": 38420, + "_article": 38421, + "Ġpane": 38422, + "bio": 38423, + "Ġmotors": 38424, + "NM": 38425, + "Frank": 38426, + "Ġonion": 38427, + "-word": 38428, + "ItemClickListener": 38429, + "Ġbrit": 38430, + "endencies": 38431, + "Computer": 38432, + "_running": 38433, + "(day": 38434, + "-he": 38435, + "(named": 38436, + "ĠSach": 38437, + "оÑĩ": 38438, + "campaign": 38439, + ".Abstract": 38440, + "(wrapper": 38441, + ".pay": 38442, + "Ġuw": 38443, + "Geo": 38444, + "rails": 38445, + "/select": 38446, + "ichte": 38447, + "sons": 38448, + "EVENT": 38449, + "Ġaliment": 38450, + "Providers": 38451, + "Await": 38452, + "_INTERVAL": 38453, + ".off": 38454, + "Ġgluten": 38455, + "_cloud": 38456, + "Ġwen": 38457, + ".extract": 38458, + "ĉbutton": 38459, + "/MM": 38460, + "Party": 38461, + "Ġdemographic": 38462, + "_errno": 38463, + "Ġhiking": 38464, + "('')Ċ": 38465, + "\",@\"": 38466, + "Ġwit": 38467, + "rá": 38468, + "ologie": 38469, + "ĠStyles": 38470, + "ĠBrowserModule": 38471, + ".RequestMapping": 38472, + "icans": 38473, + "PAGE": 38474, + "creation": 38475, + "ĠFerguson": 38476, + "uded": 38477, + "numbers": 38478, + "ĠGTK": 38479, + "Ġpresentations": 38480, + "ĠBobby": 38481, + "_span": 38482, + "estyle": 38483, + "Ġillegally": 38484, + "abela": 38485, + "Ġbattlefield": 38486, + "capacity": 38487, + "terror": 38488, + "]\");Ċ": 38489, + "Ġwarrior": 38490, + "leader": 38491, + "ĠDBG": 38492, + "ĠRevenue": 38493, + "Ġvigil": 38494, + "Ġcounterparts": 38495, + "(Error": 38496, + "ACTER": 38497, + "Ġheeft": 38498, + "Ġselections": 38499, + "zeug": 38500, + "tom": 38501, + "-two": 38502, + ".;Ċ": 38503, + "_statement": 38504, + "ĠAid": 38505, + "ĠVul": 38506, + "_rgb": 38507, + "Ġprizes": 38508, + "Ġeditable": 38509, + "ĉform": 38510, + "ını": 38511, + ".decor": 38512, + "Demo": 38513, + "lices": 38514, + "Ġenctype": 38515, + "ratulations": 38516, + "ĠROS": 38517, + "_chars": 38518, + "ĠJahr": 38519, + "partial": 38520, + "ÑĥÑĤ": 38521, + "ĠReceive": 38522, + "ĠLands": 38523, + "APTER": 38524, + "Ġchopped": 38525, + "..\"": 38526, + "ĠAnaly": 38527, + "ĠUID": 38528, + "ĠRadeon": 38529, + "ĠBee": 38530, + "Ġunm": 38531, + ">M": 38532, + ".findall": 38533, + "Tokenizer": 38534, + "ĠWHAT": 38535, + "Ġsj": 38536, + "Drawing": 38537, + "Ess": 38538, + "OND": 38539, + "Ĭ¶": 38540, + "(packet": 38541, + "âĢĶbut": 38542, + "Invocation": 38543, + "ĠNuclear": 38544, + "?;Ċ": 38545, + "Ġgrandes": 38546, + "ĠCrypt": 38547, + "remark": 38548, + "Ġ'../../../../": 38549, + "Ġinability": 38550, + "magic": 38551, + "cats": 38552, + "Ġsimulate": 38553, + ":${": 38554, + "inflate": 38555, + "Ġener": 38556, + ":NO": 38557, + "iples": 38558, + "Ġmerit": 38559, + "ĠRated": 38560, + "Ġglue": 38561, + "/blog": 38562, + "Ġgren": 38563, + "Ġthrilled": 38564, + ".CH": 38565, + "uncan": 38566, + "ĠPRIMARY": 38567, + "Ġpersec": 38568, + "Ġfeared": 38569, + ".MIN": 38570, + "ĠTheater": 38571, + "éĴ": 38572, + "ategorie": 38573, + "段": 38574, + "Ġappetite": 38575, + "square": 38576, + "ĠAlexand": 38577, + ".UserId": 38578, + "_gt": 38579, + "_enter": 38580, + "Ġgraduates": 38581, + "FragmentManager": 38582, + "Authorize": 38583, + "-NLS": 38584, + "(My": 38585, + "Ġtriumph": 38586, + "usting": 38587, + "_PARAMS": 38588, + "Characters": 38589, + "(:,:,": 38590, + "_BUILD": 38591, + "MHz": 38592, + "Ġwashed": 38593, + "Ġuncle": 38594, + "Steve": 38595, + "ardown": 38596, + "${": 38780, + "_confirmation": 38781, + "Ġtrophy": 38782, + "Works": 38783, + "ĠElectronics": 38784, + "ĠMediterranean": 38785, + "_metrics": 38786, + "Ġannouncing": 38787, + "ĠDAY": 38788, + "_proto": 38789, + "Ġpear": 38790, + "baseUrl": 38791, + "ĉĉĉĉĉĉĉĉĊ": 38792, + "Ġcoordination": 38793, + ":N": 38794, + ".animate": 38795, + "ĠCotton": 38796, + "_hit": 38797, + "âľ": 38798, + "Ġjetzt": 38799, + "ifter": 38800, + "(fields": 38801, + "ownload": 38802, + "ificacion": 38803, + ".cuda": 38804, + "ĠLiu": 38805, + ">equals": 38806, + "ĠAce": 38807, + "ÑĢам": 38808, + "ĠSuperman": 38809, + "ĠGarcia": 38810, + "Ġarrests": 38811, + "agar": 38812, + "Ġ{})": 38813, + "Ġmacros": 38814, + "roupe": 38815, + "être": 38816, + "Ġtwisted": 38817, + "struments": 38818, + "_(\"": 38819, + "_vertices": 38820, + "ĠTransition": 38821, + "ик": 38822, + "[max": 38823, + "mind": 38824, + "ĠaccessToken": 38825, + "Ġunle": 38826, + "mus": 38827, + "cop": 38828, + "ĠFactor": 38829, + "Ġconced": 38830, + "Ġretr": 38831, + ".linalg": 38832, + "-slider": 38833, + "obl": 38834, + "_StaticFields": 38835, + "Ġzombie": 38836, + "selling": 38837, + "Ġchap": 38838, + "Ġshaking": 38839, + "ĠTranslate": 38840, + "ĠAmsterdam": 38841, + "ĠETH": 38842, + "_EXTERN": 38843, + "kd": 38844, + "_disc": 38845, + "Ġpreceding": 38846, + "Ġprix": 38847, + "ObjectName": 38848, + "_modified": 38849, + "ardware": 38850, + "Ġ?>\">": 38851, + "ĠDW": 38852, + "`${": 38853, + "Ġ?>\">ĊĊ": 38959, + "Ġspinning": 38960, + "_pending": 38961, + "Matchers": 38962, + ".Keys": 38963, + "ĠPV": 38964, + "enus": 38965, + "antis": 38966, + "Ġdiscard": 38967, + "Ġhaul": 38968, + "Ġempir": 38969, + "Ġpathway": 38970, + "Ġoak": 38971, + "мен": 38972, + "-induced": 38973, + "Ġimpair": 38974, + "ĠCalgary": 38975, + ".isHidden": 38976, + "dz": 38977, + "_include": 38978, + "Ġgm": 38979, + "Ġ'('": 38980, + "PY": 38981, + "uggestions": 38982, + "Ġcommodity": 38983, + "cro": 38984, + "/sub": 38985, + "ĠgetInstance": 38986, + "ĠLegacy": 38987, + "ĠKil": 38988, + "Bal": 38989, + "(short": 38990, + "Inform": 38991, + "+x": 38992, + "*r": 38993, + "ĠHopefully": 38994, + "orate": 38995, + "Ġmachen": 38996, + "Ġtreaty": 38997, + "ĠOri": 38998, + ".public": 38999, + "-horizontal": 39000, + "Ġtactic": 39001, + "Ġbord": 39002, + "wares": 39003, + "Ġammo": 39004, + "ĠLists": 39005, + "Ġequations": 39006, + "/her": 39007, + "ĠNSW": 39008, + "Bounding": 39009, + "_Collections": 39010, + "Ġavail": 39011, + ".DropDown": 39012, + "è°": 39013, + "Ġhh": 39014, + "ĠlÃł": 39015, + ".pb": 39016, + "Ġmemorial": 39017, + "ĠATTR": 39018, + "Ġexhausted": 39019, + "Ġtsp": 39020, + "ĉredirect": 39021, + "Ġlikewise": 39022, + "STER": 39023, + "Ljava": 39024, + "Ġcondemned": 39025, + "ocaust": 39026, + "(strict": 39027, + "Ġexempt": 39028, + "Ġsms": 39029, + "Ġexagger": 39030, + "SYS": 39031, + "Ġlounge": 39032, + ":^": 39033, + "Ġtodd": 39034, + "deb": 39035, + "atorial": 39036, + "ĠPorter": 39037, + "Ġtuition": 39038, + "Ġexempl": 39039, + "Ġparen": 39040, + ".lineTo": 39041, + "Ġkidney": 39042, + "Ġça": 39043, + "Ġcui": 39044, + "ï¼Į请": 39045, + "XC": 39046, + "Ġmoż": 39047, + "Ġnominated": 39048, + "lung": 39049, + "ImGui": 39050, + "ĠBuzz": 39051, + "Ġstereo": 39052, + "portal": 39053, + "resas": 39054, + "Ġklass": 39055, + "Ġdrafted": 39056, + "Ġprojectile": 39057, + "/gpl": 39058, + "(parameters": 39059, + "*)Ċ": 39060, + "Ġassisted": 39061, + "ĠNSInteger": 39062, + "sitemap": 39063, + ":nth": 39064, + ".Views": 39065, + ".ArgumentParser": 39066, + "Ġmeer": 39067, + "zier": 39068, + "ĠDig": 39069, + "Ċ": 39136, + "Ġplag": 39137, + "pine": 39138, + "Ġblanket": 39139, + "Ġ:-": 39743, + "Ġlcd": 39744, + "---------------": 39745, + "(\"\"": 39746, + "Ġtactical": 39747, + "ĠRonald": 39748, + "extr": 39749, + "ĠFest": 39750, + "Ġfuer": 39751, + "-navigation": 39752, + "Ġkb": 39753, + "ghost": 39754, + "ĠhandleChange": 39755, + "_cls": 39756, + "()!=": 39757, + "Comparator": 39758, + ".vm": 39759, + "ĠCox": 39760, + "_review": 39761, + "/@": 39762, + "_cookie": 39763, + "Ġrecognised": 39764, + "ldap": 39765, + "Threads": 39766, + "ĠSexual": 39767, + "ĠBearing": 39768, + "(SQL": 39769, + "Ġxr": 39770, + "Ġthigh": 39771, + "URLConnection": 39772, + "ĠSUV": 39773, + "ĠmContext": 39774, + "Ġincidence": 39775, + "ĠEste": 39776, + ".sup": 39777, + "_te": 39778, + "(EXIT": 39779, + "CMD": 39780, + "/\">": 39781, + "Almost": 39782, + "ĠUne": 39783, + "Ġanderen": 39784, + "ĠSingleton": 39785, + "Ġbore": 39786, + "Think": 39787, + "Ġnarc": 39788, + "]initWith": 39789, + "_shop": 39790, + "(strategy": 39791, + "!',": 39792, + "herits": 39793, + "ĠDesk": 39794, + "_machine": 39795, + ".netty": 39796, + "ında": 39797, + "=<": 39798, + "ĠQR": 39799, + "ĠSidebar": 39800, + ".splitContainer": 39801, + "ĠonSuccess": 39802, + "Ġmonkey": 39803, + "Enjoy": 39804, + "(nodes": 39805, + "pectrum": 39806, + "Ġ(*(": 39807, + "ĉUINT": 39808, + ",height": 39809, + "ĠNetworks": 39810, + ".tail": 39811, + ".linspace": 39812, + "Ġ\"...": 39813, + "Listen": 39814, + "Æ¡": 39815, + ".Channel": 39816, + "-defined": 39817, + "Repeat": 39818, + "adjust": 39819, + "ERM": 39820, + "_application": 39821, + ".assertNotNull": 39822, + "-stream": 39823, + "Ġrabbit": 39824, + "Ġpositioning": 39825, + "Ġwoke": 39826, + "Ġfing": 39827, + "Ġmultiplayer": 39828, + "Ġregistering": 39829, + "until": 39830, + "Ã¥n": 39831, + "(::": 39832, + "ussions": 39833, + "Ġpotato": 39834, + "ĠEquals": 39835, + ".Sup": 39836, + "/apache": 39837, + "Ġ(=": 39838, + ".\")": 39839, + ".ptr": 39840, + "ĠSpeech": 39841, + ".clip": 39842, + "ĠGabriel": 39843, + "Ġmusician": 39844, + "/issues": 39845, + ".shop": 39846, + "ĠHier": 39847, + "_RET": 39848, + "_bucket": 39849, + "ãĥ¡": 39850, + "avs": 39851, + "Ġroz": 39852, + "flower": 39853, + "WriteBarrier": 39854, + "ĠMilan": 39855, + "Ġlegislature": 39856, + "ĠDoll": 39857, + "Ġproving": 39858, + ".concatenate": 39859, + "âķIJ": 39860, + "Ġgchar": 39861, + "cdnjs": 39862, + "bles": 39863, + "ĠListing": 39864, + "ло": 39865, + ".xrLabel": 39866, + "ĠSak": 39867, + "justice": 39868, + "ĠValentine": 39869, + "unless": 39870, + "Ġpiger": 39871, + "(run": 39872, + "Ġtestified": 39873, + "ANA": 39874, + "ĠRemoves": 39875, + "))));Ċ": 39876, + "recated": 39877, + "ĠRuntimeMethod": 39878, + "Ġconqu": 39879, + "ãĤ¢": 39880, + "Ġtissues": 39881, + "ailer": 39882, + "été": 39883, + "-Star": 39884, + "Ġflames": 39885, + ".setIcon": 39886, + "Ġsupern": 39887, + "Ġvagina": 39888, + "-variable": 39889, + "Ġwellness": 39890, + "CUR": 39891, + "Ġbelle": 39892, + ".getRequest": 39893, + "Ġpoco": 39894, + "benh": 39895, + "agens": 39896, + "Ġspill": 39897, + "ĠJur": 39898, + "Ġdispatcher": 39899, + "ного": 39900, + "emonic": 39901, + "(dirname": 39902, + "ĠÐĶ": 39903, + "Ġpasse": 39904, + "Ġganz": 39905, + "ricing": 39906, + "EU": 39907, + "Ġmujeres": 39908, + "essen": 39909, + ".attribute": 39910, + "jj": 39911, + "ĉĉĠĊ": 39912, + "[^": 39913, + "Ġstrtolower": 39914, + "lexer": 39915, + "ectar": 39916, + "hotel": 39917, + ".square": 39918, + "Ġrall": 39919, + "Ġlowered": 39920, + "handled": 39921, + "Market": 39922, + "ĠUses": 39923, + "ivas": 39924, + ".Business": 39925, + "ãģĹãģ¦": 39926, + "DIV": 39927, + "Ġwasted": 39928, + "Ġavoir": 39929, + "êm": 39930, + "_ACCOUNT": 39931, + ".et": 39932, + "ĉSDL": 39933, + "kap": 39934, + "Ġfox": 39935, + "uppet": 39936, + "{},Ċ": 39937, + "\",'": 39938, + "Favorite": 39939, + "PEND": 39940, + "ĠAES": 39941, + "}),": 39942, + "Ġdeduction": 39943, + "ĠpolÃŃt": 39944, + "ĠcomponentWill": 39945, + "ĠTelerik": 39946, + "_SELF": 39947, + "Ġmuse": 39948, + "Craft": 39949, + "Ġdens": 39950, + "ि": 39951, + "(tp": 39952, + "Ġtasty": 39953, + "Ġbalances": 39954, + "Ġdedication": 39955, + "ĠWallace": 39956, + "Ġunlaw": 39957, + "\\\">\\": 39958, + "Ġmum": 39959, + "-update": 39960, + "emente": 39961, + "Ġsoda": 39962, + "Republic": 39963, + "asmine": 39964, + "éric": 39965, + "(Status": 39966, + "ĠJsonConvert": 39967, + "ĠDisk": 39968, + ".Redirect": 39969, + "Ġfilming": 39970, + "/mol": 39971, + "Ro": 39972, + "Ġville": 39973, + "Ġtrabaj": 39974, + "Ġsynthesis": 39975, + "rega": 39976, + "Ġrl": 39977, + "Scheduler": 39978, + "ISHED": 39979, + "currentUser": 39980, + "(errors": 39981, + "'h": 39982, + "_bot": 39983, + "ximo": 39984, + "ĠUSART": 39985, + "_super": 39986, + "_DECREF": 39987, + "ной": 39988, + "_ROW": 39989, + "Ġpromotes": 39990, + "ĠTA": 39991, + "Ġhoras": 39992, + "ĠRepresents": 39993, + "Ġnameof": 39994, + "ĠExc": 39995, + "ĠGarage": 39996, + "Ġseine": 39997, + ",#": 39998, + "Ġherb": 39999, + "/resources": 40000, + "Ġpleaded": 40001, + ".radioButton": 40002, + "Ġæĺ": 40003, + "Ops": 40004, + "ĠNest": 40005, + "cstring": 40006, + "ĠDefence": 40007, + "Ġrefere": 40008, + "_leaf": 40009, + "Ġrevelation": 40010, + "ë§": 40011, + ".executeUpdate": 40012, + "_WORLD": 40013, + "Ġexpans": 40014, + "(\"\\\"": 40015, + "jab": 40016, + "Ġdoubts": 40017, + "ĠGeometry": 40018, + "Ġintroduces": 40019, + "Ġsenators": 40020, + "Ġcanal": 40021, + ".helper": 40022, + "ĠBiology": 40023, + "_SENS": 40024, + ".previous": 40025, + "-touch": 40026, + "abit": 40027, + "Ġimpacted": 40028, + "Ġbrackets": 40029, + ".direct": 40030, + "accum": 40031, + "Ġtestosterone": 40032, + "ĉaction": 40033, + "ĠChance": 40034, + "Ġpeaks": 40035, + "CppCodeGenWriteBarrier": 40036, + "Ġunbelie": 40037, + "_press": 40038, + ".Rel": 40039, + "angled": 40040, + "/templates": 40041, + "-->čĊ": 40042, + "lime": 40043, + "Ġsufficiently": 40044, + "_nt": 40045, + "Expand": 40046, + ".isfile": 40047, + "ĠisEmpty": 40048, + "Ġqt": 40049, + "Ġmulher": 40050, + "acob": 40051, + "George": 40052, + "常": 40053, + "Ġassim": 40054, + "aso": 40055, + "Ġcomprised": 40056, + "OV": 40057, + "(CONFIG": 40058, + "ĉwriter": 40059, + "Ġdesp": 40060, + "Ġtenure": 40061, + "(cr": 40062, + ".pool": 40063, + "ĠBrend": 40064, + "Ġcensor": 40065, + "(timeout": 40066, + "Ġplea": 40067, + ".Wrap": 40068, + "Ġtightly": 40069, + "ĠWere": 40070, + "ĠIgnore": 40071, + "abei": 40072, + "Ġbridges": 40073, + "Ġcondemn": 40074, + "Ġsimplicity": 40075, + "Ġroutinely": 40076, + "Ġblacks": 40077, + "jb": 40078, + "ĠPit": 40079, + "Utf": 40080, + "Ġ/Ċ": 40081, + "reload": 40082, + "ĠsetObject": 40083, + "/global": 40084, + "Ġfatty": 40085, + "Ġsocks": 40086, + "Couldn": 40087, + "Ġerotisk": 40088, + "æĿ¡": 40089, + "ĠPressure": 40090, + "ĠMaz": 40091, + "npos": 40092, + "tolower": 40093, + "ĠEQ": 40094, + "uteur": 40095, + "ĠMoment": 40096, + "Ġeta": 40097, + "{{--": 40098, + "Ġgraphs": 40099, + "ĠGuar": 40100, + "rine": 40101, + "(--": 40102, + "ĠHttpStatus": 40103, + "(student": 40104, + "*np": 40105, + "Ġrailway": 40106, + "Ġasynchronous": 40107, + "_vm": 40108, + "'],'": 40109, + ",text": 40110, + "merchant": 40111, + "(Guid": 40112, + "ĠGra": 40113, + "ixer": 40114, + "fetchAll": 40115, + ".addListener": 40116, + "flip": 40117, + "*$": 40118, + ">(),": 40119, + "Ġsunlight": 40120, + "assigned": 40121, + "Ġabc": 40122, + "ĠCOLUMN": 40123, + "ĠðŁĻĤĊĊ": 40124, + ")...": 40125, + "Ġensemble": 40126, + "Ġnewline": 40127, + "_SINGLE": 40128, + "iedad": 40129, + "Ġdarker": 40130, + "ormap": 40131, + "Ġlion": 40132, + "plits": 40133, + "Ġillustration": 40134, + "ĠIEEE": 40135, + "Ġvista": 40136, + "ousands": 40137, + "*******": 40138, + "ĠTommy": 40139, + "Ġhue": 40140, + "Sel": 40141, + "Ġaura": 40142, + "ĠTherapy": 40143, + "Ġanimator": 40144, + ".constraints": 40145, + "Ġvague": 40146, + "(\"\")": 40147, + "Ġvillain": 40148, + "Ġblessing": 40149, + "ĠstringBuilder": 40150, + "ĠMisc": 40151, + "ĠDIR": 40152, + "fax": 40153, + "-node": 40154, + "ĠWalking": 40155, + "ĠAU": 40156, + "sess": 40157, + "Ġgrill": 40158, + "VERTISE": 40159, + "ĠFoods": 40160, + "Ġtournaments": 40161, + "Ãĵ": 40162, + "ĠMarsh": 40163, + "Ġwonders": 40164, + "Longitude": 40165, + ".CommandText": 40166, + "=input": 40167, + "_encoder": 40168, + "pageSize": 40169, + "ĠgetState": 40170, + ">>Ċ": 40171, + ".grey": 40172, + "pod": 40173, + "Ġreadings": 40174, + "Ġreconsider": 40175, + "Startup": 40176, + "Ġexcer": 40177, + ".balance": 40178, + "_cycle": 40179, + "_Time": 40180, + "LOCAL": 40181, + "ĠEFI": 40182, + "ĠReyn": 40183, + ".setForeground": 40184, + "byn": 40185, + "Ġdisconnected": 40186, + "ACTIVE": 40187, + "Ġembedding": 40188, + "ickers": 40189, + "Ġsurroundings": 40190, + "*c": 40191, + "Ġgarant": 40192, + "Ġbf": 40193, + "Ġwipe": 40194, + "Ġä¸ĭ": 40195, + "_TRA": 40196, + "adox": 40197, + "çķ": 40198, + "Ġsucks": 40199, + "ĠSongs": 40200, + "ĠAssociates": 40201, + "ĠBald": 40202, + "ĠBrett": 40203, + "venile": 40204, + "Ġvt": 40205, + "Ġinade": 40206, + "Ġresigned": 40207, + "ĠGlenn": 40208, + ".pattern": 40209, + ".DataBind": 40210, + "Ñĥм": 40211, + "LayoutInflater": 40212, + "chet": 40213, + "ĠTestament": 40214, + ".ms": 40215, + "Ġpav": 40216, + "ĠReactDOM": 40217, + "urdy": 40218, + "ADATA": 40219, + "Mu": 40220, + "/actions": 40221, + "ĠJs": 40222, + "_extract": 40223, + "ĠBring": 40224, + ":id": 40225, + "strt": 40226, + "ivation": 40227, + "Ġoutright": 40228, + "azu": 40229, + "loyment": 40230, + "иÑı": 40231, + "aldo": 40232, + "ĠPublisher": 40233, + "Education": 40234, + "Palette": 40235, + "_drv": 40236, + "Ġ($(": 40237, + "ĠAnda": 40238, + "Ġremedy": 40239, + "Ġinconsistent": 40240, + "tection": 40241, + "Ġregulators": 40242, + "Ġshortest": 40243, + "(pair": 40244, + "ĠInstallation": 40245, + "Ġdefendants": 40246, + "Ġ();": 40247, + "-large": 40248, + "Mel": 40249, + "Ġthreaten": 40250, + "нÑı": 40251, + "Ġfetish": 40252, + "otine": 40253, + "_dic": 40254, + "Ġ<$": 40255, + "Ġstagger": 40256, + "spi": 40257, + "$response": 40258, + "Serv": 40259, + "-born": 40260, + "jos": 40261, + "ĉimg": 40262, + "ĉWHERE": 40263, + "_lt": 40264, + "å½ĵ": 40265, + ".cost": 40266, + "ĠTue": 40267, + ".labels": 40268, + "ĠLV": 40269, + "wcsstore": 40270, + "ĠJesse": 40271, + "ห": 40272, + "Trade": 40273, + "Ġpredecessor": 40274, + "ëĤ": 40275, + "finally": 40276, + "_general": 40277, + "oggler": 40278, + "_REGION": 40279, + "nement": 40280, + "Ġblogger": 40281, + "ĠHarbor": 40282, + "ĠDataset": 40283, + "[w": 40284, + "Ġattendees": 40285, + ".ico": 40286, + "maximum": 40287, + ".Unlock": 40288, + "_SYNC": 40289, + "ágina": 40290, + "Ġdowns": 40291, + "ĠWii": 40292, + "])/": 40293, + "Ġkicking": 40294, + "unication": 40295, + "ĠDAC": 40296, + "ĠIDS": 40297, + "ĠRental": 40298, + "ĠcurrentTime": 40299, + "Ġvaccines": 40300, + "ĠDevil": 40301, + "Ġnors": 40302, + "_mouse": 40303, + "urrection": 40304, + "(no": 40305, + "Ġ>čĊ": 40306, + "Ġaggression": 40307, + "Ġbreeding": 40308, + ".symbol": 40309, + "iman": 40310, + "AbsolutePath": 40311, + "ĠWHO": 40312, + "_flush": 40313, + "-root": 40314, + "arna": 40315, + "&M": 40316, + "Ġfathers": 40317, + "ĠRocket": 40318, + "iveau": 40319, + "Ġwander": 40320, + "Ġcompos": 40321, + "ĠWarrior": 40322, + "ĠSeat": 40323, + "ĠClinic": 40324, + "_invoice": 40325, + "(dispatch": 40326, + "Producto": 40327, + "aturing": 40328, + "ossier": 40329, + "ĠMAY": 40330, + "Ġdagger": 40331, + "Ġsanitized": 40332, + "ĠRFC": 40333, + "Ġproph": 40334, + "Ġurine": 40335, + "Ġgrind": 40336, + "ĠExpanded": 40337, + "descripcion": 40338, + "-fw": 40339, + "ĠKerry": 40340, + "=name": 40341, + "Ġchk": 40342, + "Ġnationally": 40343, + "Ġthee": 40344, + "Inc": 40345, + "Ġ?>>": 40346, + ".RadioButton": 40347, + ".HttpServletResponse": 40348, + "/Y": 40349, + "ĉfield": 40350, + "Ġhomme": 40351, + "yper": 40352, + "Physical": 40353, + "=v": 40354, + "Ġdriv": 40355, + "ĠErrors": 40356, + "ĠcÄĥ": 40357, + "Death": 40358, + "ĠWINDOW": 40359, + "Ġpoet": 40360, + "ĠSharp": 40361, + "ĠImmutable": 40362, + "ĉcreate": 40363, + "Ġgeht": 40364, + "ĠReform": 40365, + "aiser": 40366, + "ĠInitialization": 40367, + "Ġimmunity": 40368, + ".compose": 40369, + "Ġlatency": 40370, + "ĠLebanon": 40371, + "ĠParad": 40372, + "Ġfuels": 40373, + "ĠExhib": 40374, + "coh": 40375, + "%\">Ċ": 40376, + "ĠCLI": 40377, + ")initWith": 40378, + "-Za": 40379, + "_CLEAR": 40380, + "regn": 40381, + "Ġfinances": 40382, + ".standard": 40383, + "_CATEGORY": 40384, + ".library": 40385, + "Ġtravelers": 40386, + "_wp": 40387, + "ĠEvaluation": 40388, + "starting": 40389, + "Ġ)),Ċ": 40390, + "episode": 40391, + "ĠVariant": 40392, + "Ġdaemon": 40393, + "ĠJulia": 40394, + "ĠNR": 40395, + "Ġdoubles": 40396, + "'": 40626, + "Ġqueryset": 40627, + ";}čĊ": 40628, + "ĠPopulation": 40629, + "utedString": 40630, + "resident": 40631, + "_FONT": 40632, + "ĠRespond": 40633, + "Ġobscure": 40634, + "Ġobservable": 40635, + "ĠContributors": 40636, + "kon": 40637, + "ĠMusk": 40638, + "exao": 40639, + "ĠTub": 40640, + "BootApplication": 40641, + "SOR": 40642, + ".Horizontal": 40643, + ".findBy": 40644, + ".power": 40645, + "Ġpositively": 40646, + "venience": 40647, + "ĠJong": 40648, + "Ġwhistle": 40649, + "ĠзнаÑĩ": 40650, + "Ġlending": 40651, + "Ġdestructive": 40652, + "ĠonDelete": 40653, + "authorization": 40654, + "();?>": 40655, + "_original": 40656, + "science": 40657, + "atra": 40658, + "?,?,": 40659, + "ĠAsc": 40660, + "Ġconvincing": 40661, + "$a": 40662, + "orgen": 40663, + "_Date": 40664, + "ĠProvide": 40665, + "Ġlonely": 40666, + ")'Ċ": 40667, + "exchange": 40668, + ";?>Ċ": 40669, + ".fast": 40670, + "Samples": 40671, + "London": 40672, + "'])čĊ": 40673, + "ĠIonic": 40674, + "Ġpesso": 40675, + "ĠKnights": 40676, + "ĠRaf": 40677, + "_attrs": 40678, + "Ġrepeal": 40679, + ">Main": 40680, + "ĠOrdered": 40681, + "_New": 40682, + "=\"\">\";Ċ": 40763, + "ĠSERVER": 40764, + "ĠHEADER": 40765, + "_velocity": 40766, + "ĠInvoke": 40767, + ".timestamps": 40768, + "Ġsulf": 40769, + "IQUE": 40770, + "Ġinhabitants": 40771, + "phins": 40772, + "azzo": 40773, + "Ġmono": 40774, + "Legend": 40775, + "Ġnonce": 40776, + "IFE": 40777, + ";\";Ċ": 40778, + "-create": 40779, + "\"\",Ċ": 40780, + "permit": 40781, + "ĠImmigration": 40782, + "Ġpathname": 40783, + "ffective": 40784, + "âĻĢâĻĢ": 40785, + "Ġexams": 40786, + "-event": 40787, + "ĠTill": 40788, + "[mid": 40789, + "FIX": 40790, + ";color": 40791, + "(Order": 40792, + "_traits": 40793, + "ĠorderBy": 40794, + "Ġsunt": 40795, + "ĠNicholas": 40796, + "ز": 40797, + "Ġsunny": 40798, + "iners": 40799, + "Ġaccessibility": 40800, + "ĠHB": 40801, + ".comp": 40802, + "ĉop": 40803, + "Ġminorities": 40804, + "etheus": 40805, + "Ġcollaborative": 40806, + "prit": 40807, + "HIR": 40808, + "Ġwraps": 40809, + "ĉdraw": 40810, + "god": 40811, + "ĠIX": 40812, + ".apps": 40813, + "ĠNM": 40814, + "Ġirrelevant": 40815, + "ĠTigers": 40816, + "Ġdiag": 40817, + "GV": 40818, + "ĠAccessories": 40819, + "kont": 40820, + "Ġsimplify": 40821, + "ĠFavorite": 40822, + "_tools": 40823, + "([]);Ċ": 40824, + "Ġtowers": 40825, + "Bes": 40826, + "Ġhunter": 40827, + "Ġsalon": 40828, + "(buff": 40829, + "ĉdebug": 40830, + "Ġmalware": 40831, + "Moving": 40832, + "-options": 40833, + ")+'": 40834, + "ĠLOVE": 40835, + "_SOCKET": 40836, + "_fin": 40837, + "ĠDelaware": 40838, + "Ġsheriff": 40839, + "-invalid": 40840, + "ĠFULL": 40841, + "Ġпод": 40842, + "elas": 40843, + "\"strings": 40844, + "ĠRepresentatives": 40845, + "surface": 40846, + "resolved": 40847, + "htdocs": 40848, + ")):čĊ": 40849, + "Ġpressures": 40850, + "Ġnorms": 40851, + "Ġpla": 40852, + "Ġsurname": 40853, + "Ġpostal": 40854, + "ĠDepart": 40855, + "Ġslaughter": 40856, + "orida": 40857, + "Ġhebben": 40858, + "Ġdesar": 40859, + "compact": 40860, + "_LANG": 40861, + "åIJĪ": 40862, + "opoly": 40863, + "_rad": 40864, + "ĠSTDMETHOD": 40865, + "Lazy": 40866, + "ĠĠĠĉ": 40867, + "...,": 40868, + "(web": 40869, + "ĠPont": 40870, + "Ġetwas": 40871, + "Ġupward": 40872, + "_hat": 40873, + "Ġ],ĊĊ": 40874, + "ĠbaseUrl": 40875, + "Ġworrying": 40876, + "-addon": 40877, + "(getClass": 40878, + "SPI": 40879, + "Ġcapturing": 40880, + ")},Ċ": 40881, + "Effects": 40882, + "Ġcompetent": 40883, + "Ġfoul": 40884, + "Ġsubscribing": 40885, + "ĠOBJECT": 40886, + "IXEL": 40887, + "bucks": 40888, + "(edge": 40889, + "(pass": 40890, + "ĠPeterson": 40891, + "Ġboobs": 40892, + "ĠDelay": 40893, + "_square": 40894, + "elim": 40895, + "oters": 40896, + "_PC": 40897, + "%E": 40898, + "onclick": 40899, + "ĠSVG": 40900, + "Ġtopped": 40901, + "Ġfist": 40902, + "smart": 40903, + "ĠRalph": 40904, + "(owner": 40905, + "jours": 40906, + "Ġbronze": 40907, + "ĠArgumentException": 40908, + "(original": 40909, + "_SCALE": 40910, + "_cp": 40911, + "Ġrecommends": 40912, + ".setStyle": 40913, + "Sure": 40914, + "LAND": 40915, + "Ġrepeating": 40916, + "Matt": 40917, + ".Visibility": 40918, + "Ġenterprises": 40919, + ".Setup": 40920, + "(scene": 40921, + "ĠReactive": 40922, + "urge": 40923, + "bw": 40924, + ".Put": 40925, + "persist": 40926, + ".cookie": 40927, + "ĠAudi": 40928, + "`s": 40929, + "supplier": 40930, + "(Form": 40931, + "¡": 40932, + "_so": 40933, + "ĮĢ": 40934, + "ĠLegion": 40935, + "tte": 40936, + "Nd": 40937, + "Loss": 40938, + "(attrs": 40939, + ".scatter": 40940, + "Ġgroom": 40941, + "Ġglimpse": 40942, + "Ġnails": 40943, + "Ġcumulative": 40944, + "Ġfazer": 40945, + "_services": 40946, + ".Num": 40947, + "ibilit": 40948, + "_resolution": 40949, + "ĠTx": 40950, + "uminium": 40951, + "opa": 40952, + ".schedule": 40953, + "smtp": 40954, + "à¸ķ": 40955, + "urry": 40956, + "ük": 40957, + "goog": 40958, + "_signature": 40959, + ".into": 40960, + "ĠSteps": 40961, + "Ġhomeowners": 40962, + "ĠNSURL": 40963, + "ĠPAC": 40964, + "ĠĠĠĠĠĠĠĠĠĠĠĠĊĊ": 40965, + ">')Ċ": 40966, + "enh": 40967, + "Ġincap": 40968, + "$MESS": 40969, + "Ġmoins": 40970, + "ĠFi": 40971, + "Ġoffseason": 40972, + "pressions": 40973, + ">.Ċ": 41045, + "ĠGrass": 41046, + "ĠGoal": 41047, + "_pdf": 41048, + "Handlers": 41049, + "Ġstacks": 41050, + ".getFullYear": 41051, + "=[];Ċ": 41052, + "车": 41053, + ",V": 41054, + "(split": 41055, + "Ñĥнк": 41056, + "Ġbakeca": 41057, + "Ġ~/.": 41058, + "pez": 41059, + "tails": 41060, + "ĠGlen": 41061, + "ĠsetImage": 41062, + "ĠComic": 41063, + "BLOCK": 41064, + "ĉThis": 41065, + "oader": 41066, + "Ġcapitalist": 41067, + "_STEP": 41068, + "(Boolean": 41069, + "ĠCorrect": 41070, + "rina": 41071, + "Ġconcaten": 41072, + "å®ŀ": 41073, + "():ĊĊ": 41074, + "Ġunanim": 41075, + "lli": 41076, + "alars": 41077, + "-ne": 41078, + "Ġdivor": 41079, + "ĠKickstarter": 41080, + "]._": 41081, + "*'+": 41722, + "åĿĢ": 41723, + "acency": 41724, + "(URL": 41725, + "_half": 41726, + "=l": 41727, + "ĠlistView": 41728, + "(section": 41729, + ".toArray": 41730, + "+/": 41731, + "ĠRodriguez": 41732, + "istream": 41733, + "Ġeligibility": 41734, + "::-": 41735, + ".newInstance": 41736, + "PB": 41737, + "ĠAssets": 41738, + "ĠComposite": 41739, + "ĠLabs": 41740, + "ĠHamas": 41741, + "++);Ċ": 41742, + "Ġblk": 41743, + "ĠNeo": 41744, + "Luc": 41745, + "@login": 41746, + "Ġunaware": 41747, + ".met": 41748, + "_RELEASE": 41749, + "(ST": 41750, + "AMIL": 41751, + "rike": 41752, + "Ġ(){Ċ": 41753, + "(sprintf": 41754, + "ĠAccounts": 41755, + "ĠVIEW": 41756, + "ĠAj": 41757, + "ãĤ°": 41758, + "Ġwhisk": 41759, + "Ġidi": 41760, + "Ġrode": 41761, + "Ġihn": 41762, + "ĠElementary": 41763, + "Qty": 41764, + "Ġintriguing": 41765, + "Ġå¤": 41766, + "Jobs": 41767, + "ĉoffset": 41768, + "ĠAhmed": 41769, + "ĠTaliban": 41770, + "Ġèİ·åıĸ": 41771, + "Ġinjected": 41772, + ".Authentication": 41773, + "_linear": 41774, + ".Decimal": 41775, + "Ġapples": 41776, + "Ġshareholders": 41777, + "Ġbaked": 41778, + ".diff": 41779, + "ĠEddie": 41780, + "okers": 41781, + "Ġconfronted": 41782, + "voices": 41783, + "Ġtus": 41784, + "ĠSpin": 41785, + "NODE": 41786, + "_Un": 41787, + "CTX": 41788, + "/google": 41789, + "Temperature": 41790, + "Ġ'').": 41791, + "Ġmagnificent": 41792, + "ĠstartIndex": 41793, + "sembles": 41794, + "Anyone": 41795, + "zk": 41796, + "ehen": 41797, + "ĠDame": 41798, + ".strict": 41799, + "Ġreplaces": 41800, + "Ġlineback": 41801, + "Ġpushes": 41802, + "Ġcheek": 41803, + "ĠShi": 41804, + "_BYTES": 41805, + "REA": 41806, + "ản": 41807, + "_CONNECTION": 41808, + "Gateway": 41809, + "ĠTravis": 41810, + "ĠAX": 41811, + "ĠBasically": 41812, + "ĠUpgrade": 41813, + "àª": 41814, + "themes": 41815, + "ermo": 41816, + "kor": 41817, + "Female": 41818, + "_attach": 41819, + "ĠìĤ¬ìļ©": 41820, + "Ġpoz": 41821, + "==============Ċ": 41822, + "(symbol": 41823, + "ĠSector": 41824, + "__)ĊĊ": 41825, + "_padding": 41826, + "ï¼ļ\"": 41827, + "Ġfabs": 41828, + "Ġranged": 41829, + "setName": 41830, + "Ġperror": 41831, + "âĹ": 41832, + "ĠFileReader": 41833, + "Ġfulfilled": 41834, + "_Current": 41835, + "Ġdominate": 41836, + "Ġsmugg": 41837, + "PostMapping": 41838, + "_force": 41839, + "Ġbloc": 41840, + "ĠGiant": 41841, + "(video": 41842, + "ĠCU": 41843, + "SystemService": 41844, + "Ġelf": 41845, + "Ġkontakt": 41846, + "ëª": 41847, + "kees": 41848, + "gtk": 41849, + "ĠparamInt": 41850, + "Ġmarkup": 41851, + "uales": 41852, + "Ġaccounted": 41853, + "Ġgangbang": 41854, + "RYPT": 41855, + "ĠWrong": 41856, + "Ġcredited": 41857, + "ĠMESSAGE": 41858, + "Ġflaws": 41859, + "Ġbbw": 41860, + "Ġmetabolic": 41861, + "ĠOEM": 41862, + "/event": 41863, + "(Collectors": 41864, + "monton": 41865, + "appear": 41866, + "Ġopted": 41867, + "Ġcheat": 41868, + "Ġdav": 41869, + "ĠProceed": 41870, + "Ġê¸": 41871, + "anked": 41872, + "из": 41873, + "ansk": 41874, + "ĠHang": 41875, + "ĠCler": 41876, + "Ġdisgu": 41877, + "Ġcmap": 41878, + ".cljs": 41879, + "Ġaument": 41880, + "lez": 41881, + "ĠJoined": 41882, + "_received": 41883, + "Ġaerial": 41884, + "otel": 41885, + "Ġgreet": 41886, + "\"s": 41887, + "ĠGenesis": 41888, + "ĠCalif": 41889, + "panion": 41890, + "Ġtailored": 41891, + "mapping": 41892, + "andExpect": 41893, + ".track": 41894, + "atomy": 41895, + "ĠOw": 41896, + "ullah": 41897, + ".Yes": 41898, + "ĠSimpleName": 41899, + "dbh": 41900, + "'en": 41901, + "Ġnonsense": 41902, + "Ġphilosophical": 41903, + "(getContext": 41904, + "Ġisso": 41905, + "ĠACE": 41906, + "startDate": 41907, + "ĠbÄĻd": 41908, + "ĠAUTHOR": 41909, + "ĠGlobe": 41910, + "Ġinsects": 41911, + "_Al": 41912, + "ushing": 41913, + "è®°": 41914, + "/Home": 41915, + "ĠLocalDate": 41916, + "needed": 41917, + "hesive": 41918, + "Ġillusion": 41919, + "äºĮ": 41920, + "Ġtrat": 41921, + "xo": 41922, + "/detail": 41923, + "_MATCH": 41924, + "Ġbroadband": 41925, + "Ġwal": 41926, + "ĠIllegalStateException": 41927, + "IRECTION": 41928, + "Ġnortheast": 41929, + "esium": 41930, + "ĠCliente": 41931, + "ulance": 41932, + "nty": 41933, + "Ġtecn": 41934, + "Devices": 41935, + "Ġgrains": 41936, + "ĠOg": 41937, + "ĠSEL": 41938, + "udiant": 41939, + "Ġ++;Ċ": 41940, + "Ġexplanations": 41941, + "occo": 41942, + "Ġdiets": 41943, + "Ġcohort": 41944, + "(controller": 41945, + ".Iterator": 41946, + "-rich": 41947, + "rocess": 41948, + "GD": 41949, + "Ġcarbohydr": 41950, + "Ġfried": 41951, + "ĠEmployment": 41952, + "ìŀ¥": 41953, + "ĠLeonard": 41954, + "_${": 41955, + "quares": 41956, + "Ġcompanions": 41957, + "Ġparis": 41958, + "Ġstimulation": 41959, + "ĠZoo": 41960, + "Ġrelevance": 41961, + "ĠColour": 41962, + "Ġspear": 41963, + "otional": 41964, + "ĠLite": 41965, + "ĠKosten": 41966, + "Ġó": 41967, + "_attachment": 41968, + "orphic": 41969, + "Ġdamit": 41970, + "Ġdlg": 41971, + "Ġthrive": 41972, + "CHANGE": 41973, + "ĠApparently": 41974, + "Ġatual": 41975, + "Ġrooted": 41976, + "(images": 41977, + "awi": 41978, + "ariat": 41979, + "Ġcherry": 41980, + "STATIC": 41981, + "mnt": 41982, + "ĠUserId": 41983, + "illet": 41984, + "ĠHispanic": 41985, + "Ġnak": 41986, + "Ġcentro": 41987, + "Ġdims": 41988, + "_initialize": 41989, + "ık": 41990, + "ĠCenters": 41991, + "REN": 41992, + "Ġevolutionary": 41993, + "ĠTopics": 41994, + "_damage": 41995, + "emer": 41996, + "Ġrund": 41997, + "Ġpunished": 41998, + "Ġcubic": 41999, + "fair": 42000, + "[];ĊĊ": 42001, + "Ġinstantiate": 42002, + "Ġoversee": 42003, + "-delete": 42004, + "unteer": 42005, + "startTime": 42006, + "ĠPipeline": 42007, + "_GAME": 42008, + "ĠCir": 42009, + "ĉNull": 42010, + ".Formatting": 42011, + "ucumber": 42012, + "ĠRide": 42013, + "Ġzoo": 42014, + "Ġchecker": 42015, + "åIJĮ": 42016, + "=C": 42017, + "Ġgrit": 42018, + "\");//": 42019, + "_xy": 42020, + "ĠDeclaration": 42021, + "Ġcallable": 42022, + "Foo": 42023, + "ĠListItem": 42024, + "Ġinaccur": 42025, + "mlin": 42026, + "ĉData": 42027, + "Ġevolving": 42028, + "awan": 42029, + "Ġcafe": 42030, + "folk": 42031, + "_IDX": 42032, + "ĠAnything": 42033, + "ĠPalestine": 42034, + "ĠGridView": 42035, + "Ġcolony": 42036, + "ĠGermans": 42037, + "(+": 42038, + ".pid": 42039, + ".jsx": 42040, + "ĠSuperior": 42041, + "Christian": 42042, + "ĠLect": 42043, + "ĉGame": 42044, + "Ġinstrumental": 42045, + "Animations": 42046, + "дал": 42047, + "ĠMoses": 42048, + "ĉĉčĊĉĉčĊ": 42049, + "zs": 42050, + "kte": 42051, + "ä¸ļ": 42052, + "_DIST": 42053, + "bitmap": 42054, + "dB": 42055, + "Ġpersistence": 42056, + "ÑĢоÑģ": 42057, + "$l": 42058, + "Bron": 42059, + "Ġ{|": 42060, + "_chart": 42061, + "ĠConsum": 42062, + "Ġhemp": 42063, + "Ġ\"))Ċ": 42064, + "Ġattackers": 42065, + "Ġknowledgeable": 42066, + "Ġcet": 42067, + "Ġviruses": 42068, + "'I": 42069, + "Ġpitcher": 42070, + "Ġsweeping": 42071, + "=list": 42072, + "aptops": 42073, + ".depth": 42074, + "Ġinstructed": 42075, + "ĠRus": 42076, + "benhavn": 42077, + "Ġин": 42078, + "Sports": 42079, + "Ġonset": 42080, + "æĿĥ": 42081, + ".RED": 42082, + "_si": 42083, + "ĠPST": 42084, + ".onChange": 42085, + ">tag": 42086, + "ĠRoh": 42087, + "_character": 42088, + "ĠLaws": 42089, + "ĠBachelor": 42090, + "_swap": 42091, + ".reactivex": 42092, + "Ġrewarding": 42093, + "Medium": 42094, + "-[": 42095, + "ĠRecently": 42096, + "Joint": 42097, + "partition": 42098, + "ĠMinutes": 42099, + "Ġindo": 42100, + "Ġabsorbed": 42101, + "ĠGN": 42102, + "_IND": 42103, + "Ġsaber": 42104, + "Spawn": 42105, + "outputs": 42106, + "ĠJeffrey": 42107, + "Ġmedieval": 42108, + "hed": 42109, + "Guide": 42110, + "Ġpsycho": 42111, + "Ġglam": 42112, + "Elim": 42113, + "ädchen": 42114, + "_plain": 42115, + "ĠSau": 42116, + "-four": 42117, + "Ġanalyzing": 42118, + "QUERY": 42119, + "Ġtomato": 42120, + "_buttons": 42121, + "VEN": 42122, + ".setStatus": 42123, + ".Url": 42124, + "+ĊĊ": 42125, + "Ġcomplaining": 42126, + "degree": 42127, + "confirmed": 42128, + "Ġsubt": 42129, + "parsed": 42130, + "Ġtorque": 42131, + "Ġtroubled": 42132, + "ĠTARGET": 42133, + "Ġtrademarks": 42134, + "ĠCoordinate": 42135, + "ĠViv": 42136, + "Ġ//}ĊĊ": 42137, + "Ġaprès": 42138, + ".getPosition": 42139, + "(KeyCode": 42140, + "ĠSilva": 42141, + "Ġmeteor": 42142, + "Ġendorsement": 42143, + "Overview": 42144, + "ĠPoss": 42145, + ".Inject": 42146, + "Ġevenly": 42147, + "Ġvisualization": 42148, + "Ġwchar": 42149, + "ĠHDMI": 42150, + "Ġfunct": 42151, + "ickname": 42152, + "','','": 42153, + "Ġforwards": 42154, + "ManagedObject": 42155, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 42156, + "ĉserver": 42157, + "ĠOutlook": 42158, + "ĠChronicle": 42159, + "Ġdubbed": 42160, + "Ġdok": 42161, + "ĠWear": 42162, + ".AL": 42163, + "paren": 42164, + ".Interface": 42165, + "Interfaces": 42166, + ".cod": 42167, + "Ġdib": 42168, + ".Globalization": 42169, + "ĠAcademic": 42170, + "Ġassms": 42171, + "Autom": 42172, + "Ġlw": 42173, + "ĠNW": 42174, + "Ġ&&čĊ": 42175, + "Ġproblema": 42176, + "ĠManufacturing": 42177, + "limits": 42178, + "-mobile": 42179, + "Ġfilme": 42180, + "/map": 42181, + "Ġdoit": 42182, + "ĠInk": 42183, + "Ġsued": 42184, + ".arr": 42185, + "Ġundermin": 42186, + "ĠProc": 42187, + "crollView": 42188, + "__$": 42189, + "Ġsidewalk": 42190, + "(that": 42191, + "ื": 42192, + "[q": 42193, + "grammar": 42194, + "Ġtë": 42195, + "quito": 42196, + "Ġspiral": 42197, + "extended": 42198, + "Ġfocal": 42199, + "Ġdigging": 42200, + "pas": 42201, + "ĠTall": 42202, + ".proxy": 42203, + "itures": 42204, + "TRACT": 42205, + "ĠRealm": 42206, + "Ġfeder": 42207, + "Ġoriented": 42208, + "ĠAlternative": 42209, + "Ġowe": 42210, + "Ġsourced": 42211, + "inker": 42212, + ".det": 42213, + "Sep": 42214, + "ĠQui": 42215, + "ĠPalmer": 42216, + "(_,": 42217, + "samples": 42218, + "oyer": 42219, + "ullan": 42220, + "quez": 42221, + "Edges": 42222, + "Ġshout": 42223, + "ĠAchie": 42224, + "Ġhaar": 42225, + "_Construct": 42226, + "Ġpremature": 42227, + "Ġrevert": 42228, + "').Ċ": 42229, + "Ġschn": 42230, + "filtered": 42231, + "nullptr": 42232, + "Saved": 42233, + "itecture": 42234, + "CLA": 42235, + "Ġvl": 42236, + "stell": 42237, + "ĉMe": 42238, + "ĠLip": 42239, + "national": 42240, + "Ġwholly": 42241, + "Ġsprings": 42242, + ".Timer": 42243, + "ĉsrc": 42244, + "elsen": 42245, + "åħ¶": 42246, + "Ġcommunicating": 42247, + "ĠQuiz": 42248, + "Ġteng": 42249, + "Ġgez": 42250, + "ĠOutside": 42251, + ".Sign": 42252, + "(cs": 42253, + "Ġdisputes": 42254, + "ĠWeiss": 42255, + "annes": 42256, + ">No": 42257, + "ĠBach": 42258, + ".removeAll": 42259, + "refer": 42260, + "/dashboard": 42261, + "ĠAjax": 42262, + "IndexChanged": 42263, + "ĠWeak": 42264, + "'\"Ċ": 42265, + "Ġsights": 42266, + "accessToken": 42267, + "ĠJoi": 42268, + "(domain": 42269, + "ĉcv": 42270, + "Ġcontinuation": 42271, + "Ġplum": 42272, + "adir": 42273, + ".setMessage": 42274, + "Ġï¼Į": 42275, + "Ġswallow": 42276, + "ĠLamp": 42277, + "Ġqw": 42278, + "Ġuu": 42279, + "Coin": 42280, + "ubic": 42281, + "ĠDeals": 42282, + "race": 42283, + "Ġdictator": 42284, + "Ġmeme": 42285, + "turned": 42286, + "ĠJulie": 42287, + ".gridColumn": 42288, + "Ġpuppy": 42289, + "Ġpam": 42290, + "Ġ){čĊ": 42291, + "Ġinviting": 42292, + "Ġfrench": 42293, + "vim": 42294, + "Ġwrapping": 42295, + "Ġ#-}Ċ": 42296, + "([-": 42297, + "Early": 42298, + "Ġshiny": 42299, + ".faces": 42300, + "Ġrebell": 42301, + "abcdef": 42302, + "ält": 42303, + "Ġestimation": 42304, + "phys": 42305, + "losures": 42306, + "_REL": 42307, + "Ġexclusion": 42308, + "ĠSkype": 42309, + "weise": 42310, + "-stop": 42311, + "nothing": 42312, + "ĠEgg": 42313, + "isors": 42314, + "Richard": 42315, + "Ġcounseling": 42316, + "Ġcommem": 42317, + "ĠQMessageBox": 42318, + "ĠSynd": 42319, + "ĠFrost": 42320, + "ĠCompetition": 42321, + "ĠAwake": 42322, + "Ġted": 42323, + "iciones": 42324, + "ĠDevComponents": 42325, + "VERTISEMENT": 42326, + "otti": 42327, + ".runner": 42328, + "Ġuniquely": 42329, + ".flag": 42330, + "ĉrs": 42331, + "_generic": 42332, + "Ġ```Ċ": 42333, + "ACHINE": 42334, + "Ġmein": 42335, + "(Application": 42336, + "(br": 42337, + "Ġratios": 42338, + ":,": 42339, + "ĠXCTest": 42340, + "ustainable": 42341, + "-www": 42342, + "itles": 42343, + "_TEMP": 42344, + "Ġsyst": 42345, + "umericUpDown": 42346, + "ĉassertTrue": 42347, + "Ġwf": 42348, + ".peek": 42349, + "ĠBulg": 42350, + "Ġterrifying": 42351, + ".MODE": 42352, + "ĠGW": 42353, + "ár": 42354, + "Ġfic": 42355, + "Ġcommitments": 42356, + "-tech": 42357, + "ĠLiquid": 42358, + "opez": 42359, + "zheimer": 42360, + "aña": 42361, + "-media": 42362, + "(animated": 42363, + "_goal": 42364, + "Ġgum": 42365, + "ystone": 42366, + ".SET": 42367, + "ĠWend": 42368, + "setCellValue": 42369, + "Ġmsgs": 42370, + "cash": 42371, + "ALLOC": 42372, + "/aws": 42373, + "Ġmicrowave": 42374, + ".Pointer": 42375, + "ĉConsole": 42376, + "_sorted": 42377, + "ĠFilip": 42378, + "Prod": 42379, + "Ġ//!<": 42380, + "ingroup": 42381, + "Ġks": 42382, + "_TRI": 42383, + "Ġteaspoon": 42384, + "ĠATT": 42385, + "Ġrecovering": 42386, + "ĠGLOBAL": 42387, + ".Par": 42388, + "Ġ/>;Ċ": 42389, + "Ġmarble": 42390, + "ulators": 42391, + "ĠCycle": 42392, + "Ġherbs": 42393, + "_metric": 42394, + ")!": 42395, + "_CLOCK": 42396, + "_Button": 42397, + "Harry": 42398, + "è¿Ľ": 42399, + "Ġstrains": 42400, + "ĠAppBar": 42401, + "ĠChan": 42402, + "/video": 42403, + "Ġbam": 42404, + ".Progress": 42405, + "$f": 42406, + "lemen": 42407, + "Ġirregular": 42408, + "ĠDuncan": 42409, + "ĠMint": 42410, + "-video": 42411, + "া": 42412, + "ówn": 42413, + "ĠEMPTY": 42414, + "Ġstacked": 42415, + "ĠHA": 42416, + "_cut": 42417, + "Ġwherein": 42418, + "ĠWays": 42419, + "(counter": 42420, + "è¯ķ": 42421, + "FormGroup": 42422, + "Ġblew": 42423, + "courses": 42424, + "Ġproductos": 42425, + "rys": 42426, + "ĠRestr": 42427, + "Ġstyling": 42428, + ">s": 42429, + "Ġpiv": 42430, + "Ġitertools": 42431, + "getRepository": 42432, + "ĠIk": 42433, + "_devices": 42434, + "layui": 42435, + "Ġhalfway": 42436, + "Ġfranç": 42437, + "Ġtuning": 42438, + "OA": 42439, + "_Node": 42440, + "arde": 42441, + "Ġfierce": 42442, + "licted": 42443, + "#čĊ": 42444, + "Ġbreakthrough": 42445, + "ĠErik": 42446, + "Ġbride": 42447, + "Ġ.\"": 42448, + "culus": 42449, + "inside": 42450, + "ĠIndianapolis": 42451, + "ĠEE": 42452, + "Ġyog": 42453, + "urret": 42454, + ".fs": 42455, + ".grad": 42456, + "_cards": 42457, + "_accuracy": 42458, + "_epi": 42459, + "queda": 42460, + "/org": 42461, + "éªĮ": 42462, + "Ġcompte": 42463, + "))[": 42464, + "Outside": 42465, + "Greater": 42466, + "ĠRenderer": 42467, + ".actor": 42468, + "Accounts": 42469, + "Idle": 42470, + "_hours": 42471, + "erner": 42472, + "Joined": 42473, + "Ġmenj": 42474, + "requires": 42475, + "ĠOPER": 42476, + ".removeChild": 42477, + "ĉsp": 42478, + "Ġesse": 42479, + "rift": 42480, + "xFE": 42481, + "ĠShakespeare": 42482, + "____________": 42483, + "Ġbudgets": 42484, + "ModelState": 42485, + "fillable": 42486, + "-component": 42487, + "ocos": 42488, + "ĠBUTTON": 42489, + "/io": 42490, + ",out": 42491, + "sms": 42492, + "Thomas": 42493, + "ĠArmed": 42494, + "resume": 42495, + "Ġrotating": 42496, + "ĠVault": 42497, + "Ġseus": 42498, + ".(*": 42499, + "Ġamino": 42500, + "Ġ[]);ĊĊ": 42501, + "Ġprovoc": 42502, + "nox": 42503, + ".GetEnumerator": 42504, + "=======Ċ": 42505, + "æĸĻ": 42506, + "_scroll": 42507, + "Ġfilmed": 42508, + "ĠSoci": 42509, + "gap": 42510, + "gro": 42511, + "Vote": 42512, + "\"But": 42513, + "_RC": 42514, + "Animal": 42515, + "ÂĢ": 42516, + "ibile": 42517, + "Ġawaken": 42518, + "orest": 42519, + "inja": 42520, + "ĠIvan": 42521, + "(Command": 42522, + "Ġ*****": 42523, + "η": 42524, + "Ġkvinder": 42525, + "/helpers": 42526, + "_cases": 42527, + "tg": 42528, + "ìĦ¸": 42529, + "Registered": 42530, + "ĉpass": 42531, + "_digits": 42532, + "Ġcontour": 42533, + "Ġinfants": 42534, + "Ġjustification": 42535, + "ĠFortunately": 42536, + "Contr": 42537, + "ĠonCreateView": 42538, + "_SAMPLE": 42539, + "ĠallowNull": 42540, + "Ġnud": 42541, + "Ġfetched": 42542, + "_equ": 42543, + "ĠUnable": 42544, + "=\\\"\"": 42545, + ">{Ċ": 42546, + "Ġcommittees": 42547, + "istema": 42548, + "+\".": 42549, + "ÃŃan": 42550, + "mant": 42551, + "Ġsoutheast": 42552, + "ï¼ĮĊ": 42553, + "dialogs": 42554, + "PROJECT": 42555, + "charger": 42556, + "-port": 42557, + "(uuid": 42558, + ".export": 42559, + "Six": 42560, + "ĠRP": 42561, + "Prem": 42562, + "Ġconscience": 42563, + "ĠmarginRight": 42564, + "_distribution": 42565, + "yaml": 42566, + "resizing": 42567, + "Dock": 42568, + "ĠLocations": 42569, + "GY": 42570, + "Seed": 42571, + "BUFFER": 42572, + "ossip": 42573, + "ullen": 42574, + "Things": 42575, + "-self": 42576, + ".poll": 42577, + "PLAYER": 42578, + "Ġå®": 42579, + "GROUP": 42580, + "ĠAway": 42581, + "Ġgospel": 42582, + "xfd": 42583, + "Mary": 42584, + "ĠPortable": 42585, + "TURE": 42586, + "Ġutilis": 42587, + "Ġseit": 42588, + "Ġstrand": 42589, + "Ġtransc": 42590, + "Ġ(^": 42591, + "ĠAlfred": 42592, + ".mem": 42593, + ".circle": 42594, + "Ġ~/": 42595, + "forcing": 42596, + "Ġriot": 42597, + "prox": 42598, + "THON": 42599, + "ización": 42600, + "ĠNI": 42601, + "rost": 42602, + "Ġdispro": 42603, + "_instances": 42604, + "ï¼ĮâĢľ": 42605, + "ographer": 42606, + "endas": 42607, + "ĠIsaac": 42608, + "ĠPine": 42609, + "/dis": 42610, + "ĠcolorWith": 42611, + "iterate": 42612, + "_stride": 42613, + "Ġpunto": 42614, + ".EventArgs": 42615, + "(center": 42616, + "Ġneighboring": 42617, + "ĠPrison": 42618, + "ĠMessenger": 42619, + "Ġepidemic": 42620, + "dao": 42621, + "_complex": 42622, + "Ġgravel": 42623, + "_DIP": 42624, + "ément": 42625, + "ĠAri": 42626, + "_bitmap": 42627, + ".quit": 42628, + "(valid": 42629, + "Ġpend": 42630, + "Ġrespiratory": 42631, + "Ġrebound": 42632, + "DefaultValue": 42633, + "ãĥŃ": 42634, + "Ġcommits": 42635, + ".tests": 42636, + "_fr": 42637, + "itet": 42638, + ".sf": 42639, + "Ġspacecraft": 42640, + "critical": 42641, + "Ġdepressed": 42642, + "ĠAnyObject": 42643, + "Ġunb": 42644, + "Ġdiscern": 42645, + "(mysql": 42646, + "Latin": 42647, + "ĠBog": 42648, + "ĠWildlife": 42649, + "ToFile": 42650, + "ioxid": 42651, + "@RestController": 42652, + "Ġ\"$(": 42653, + "Ġ<<\"": 42654, + "Ġdefects": 42655, + "Ġdatum": 42656, + "hin": 42657, + "Ġrealizar": 42658, + "anyahu": 42659, + "ĠSig": 42660, + "@Data": 42661, + "adaptive": 42662, + "ĠCatherine": 42663, + ".cr": 42664, + "ĠCOOKIE": 42665, + "Ġpictured": 42666, + "ĠFighter": 42667, + "Queryable": 42668, + "ĠAnyway": 42669, + "ĠGLFW": 42670, + "_namespace": 42671, + "_ft": 42672, + "Ġ])": 42673, + "Organization": 42674, + "Ġconstitutes": 42675, + "Ġquand": 42676, + "(chunk": 42677, + "\"/>čĊ": 42678, + "ĠLakes": 42679, + "mainwindow": 42680, + "Carthy": 42681, + "spin": 42682, + "(csv": 42683, + ":red": 42684, + "-commerce": 42685, + "ู": 42686, + "Ġdiscovering": 42687, + "Ġeco": 42688, + "_fac": 42689, + "inceton": 42690, + "ĠGreens": 42691, + "jwt": 42692, + "ص": 42693, + "ĠBroncos": 42694, + "ĠGoods": 42695, + "(GTK": 42696, + "ĠreturnValue": 42697, + "Ġsiempre": 42698, + "Ġneutr": 42699, + "went": 42700, + "ĠNatal": 42701, + "Ġenthusiastic": 42702, + "á»į": 42703, + "FN": 42704, + "/database": 42705, + "Catalog": 42706, + "Ġbrun": 42707, + "ĠKash": 42708, + "_Pl": 42709, + "iscrim": 42710, + ",width": 42711, + "Ġinmates": 42712, + "Assignment": 42713, + "ĠHaven": 42714, + "Ġplayground": 42715, + "exam": 42716, + "@Controller": 42717, + "uliar": 42718, + ".getParent": 42719, + "Ġ\";ĊĊ": 42720, + ":size": 42721, + "issors": 42722, + "Ġfis": 42723, + "Ġalc": 42724, + "ensation": 42725, + "ĠNixon": 42726, + "Ġmighty": 42727, + "-str": 42728, + "_special": 42729, + "_ADC": 42730, + "ĠTwig": 42731, + "umbling": 42732, + "-address": 42733, + "Ġheroin": 42734, + "YTE": 42735, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 42736, + "Friend": 42737, + "Ġave": 42738, + "ĠPNG": 42739, + "ĠKurdish": 42740, + "DataSetChanged": 42741, + "Ġblades": 42742, + "bral": 42743, + "Steam": 42744, + "Ġsigu": 42745, + "IRTUAL": 42746, + "acos": 42747, + "UDP": 42748, + "(database": 42749, + "hec": 42750, + "ĠStrings": 42751, + "_scalar": 42752, + "ĉdesc": 42753, + "ĠTLS": 42754, + ";\"Ċ": 42755, + "ĠCorbyn": 42756, + "SimpleName": 42757, + "uell": 42758, + "ĠEntre": 42759, + "ellites": 42760, + "-place": 42761, + "Ġfrankly": 42762, + "ĠErf": 42763, + "CEL": 42764, + "ĠpaÃŃs": 42765, + "Ġhedge": 42766, + "Ġlatent": 42767, + "ĠIRQ": 42768, + "ĠHerald": 42769, + "ĠPrec": 42770, + "ë³´": 42771, + ".TEXT": 42772, + "Salary": 42773, + "Ġautumn": 42774, + "Ġtravail": 42775, + ".Sum": 42776, + "Ġcared": 42777, + "Mor": 42778, + "Ġintuitive": 42779, + "Ġjournals": 42780, + "_IT": 42781, + "ĠTrou": 42782, + "ä¼ł": 42783, + "HasColumnName": 42784, + "Composite": 42785, + "Ġspice": 42786, + "_disk": 42787, + "_CODES": 42788, + "ĠIntroduced": 42789, + "iona": 42790, + "Ġnuestra": 42791, + "oct": 42792, + "ĠĠĠĠĊĠĠĠĠĊĠĠĠĠĊ": 42793, + "(parameter": 42794, + "Ġstudios": 42795, + "ĠprojectId": 42796, + "Ġbdsm": 42797, + ".SqlClient": 42798, + "imizer": 42799, + "ĠCARD": 42800, + "+t": 42801, + "aan": 42802, + ".sol": 42803, + "_Adjust": 42804, + "Ġrighteous": 42805, + "ĠLogging": 42806, + ".filters": 42807, + "_TAB": 42808, + "ĉsys": 42809, + "rophic": 42810, + "otherapy": 42811, + "ĠBrowse": 42812, + "keyboard": 42813, + "RON": 42814, + "+\\": 42815, + "ropped": 42816, + "Ġextensively": 42817, + "fk": 42818, + "Ġlime": 42819, + "years": 42820, + "Exc": 42821, + "Ġsph": 42822, + "Ġcheating": 42823, + "andro": 42824, + "ÃŃo": 42825, + "Ġprince": 42826, + "oire": 42827, + "ĠDestination": 42828, + "ĠConverts": 42829, + "Ġupstream": 42830, + "oled": 42831, + "Ġservants": 42832, + "Ġsemantic": 42833, + "Ġcrunch": 42834, + "Ġeventual": 42835, + "runner": 42836, + "/error": 42837, + "Spin": 42838, + "Ġsecretly": 42839, + "Ġassemble": 42840, + ".Person": 42841, + "enderror": 42842, + "_<": 42843, + "Ġpendant": 42844, + "Sleep": 42845, + "ĠChemistry": 42846, + "Ġbosses": 42847, + "lk": 42848, + "))),Ċ": 42849, + "Blockly": 42850, + "DEVICE": 42851, + "Ġreflecting": 42852, + "Ġample": 42853, + "Milliseconds": 42854, + "ĠPresidential": 42855, + "Ġusuarios": 42856, + "ĠNZ": 42857, + "ĠSalary": 42858, + "ĠAmanda": 42859, + "_np": 42860, + "jury": 42861, + "Ġkön": 42862, + "Ġtherapist": 42863, + "Ġhomosexual": 42864, + "ĠDrake": 42865, + "-window": 42866, + "ĠLocated": 42867, + ".Driver": 42868, + "ĠVIDEO": 42869, + "Ġmerchants": 42870, + "ĠChest": 42871, + "-lock": 42872, + "/php": 42873, + "Ġmilano": 42874, + "_STYLE": 42875, + "arger": 42876, + "idea": 42877, + "GUID": 42878, + "advanced": 42879, + "meal": 42880, + "OptionsItemSelected": 42881, + "='%": 42882, + "ĠCham": 42883, + ":data": 42884, + "(stat": 42885, + "WillAppear": 42886, + "Ġinformal": 42887, + "aji": 42888, + "Ġreproductive": 42889, + "ĠCAS": 42890, + "ãģ£": 42891, + "FUNC": 42892, + "ĠRuth": 42893, + ")+(": 42894, + "CONST": 42895, + "ĠFans": 42896, + "ĠgroupId": 42897, + "xffffffff": 42898, + "Ġsampler": 42899, + "Ġ}}\">": 42900, + ".the": 42901, + "Ġhollow": 42902, + "WAY": 42903, + "ĠFaculty": 42904, + "AttributedString": 42905, + "ĠLooks": 42906, + "ĠRex": 42907, + "jk": 42908, + "ĠMIL": 42909, + "Ġbard": 42910, + ".Long": 42911, + "Ġlivest": 42912, + "Ġskal": 42913, + "icism": 42914, + "MAIN": 42915, + "Ġmucho": 42916, + "BODY": 42917, + "Ġese": 42918, + "ĉuse": 42919, + "Foot": 42920, + ".SQLException": 42921, + "Ġinheritance": 42922, + "received": 42923, + "Ġputas": 42924, + "edis": 42925, + "alsa": 42926, + "ĠErrorMessage": 42927, + "Booking": 42928, + "Ġtract": 42929, + "acz": 42930, + "ĠCant": 42931, + "_regex": 42932, + "Ġideological": 42933, + "Ġjihad": 42934, + "hos": 42935, + "/sys": 42936, + "colm": 42937, + "(pool": 42938, + "Ġestán": 42939, + "ĠPending": 42940, + "emás": 42941, + "Ġktóry": 42942, + "));ĊĊĊ": 42943, + "transactions": 42944, + "Ġwield": 42945, + "itere": 42946, + "erture": 42947, + "_ss": 42948, + "Ġstretching": 42949, + "Ġprisoner": 42950, + ".ReadAll": 42951, + "Ġbesch": 42952, + "--;čĊ": 42953, + "Ġcrisp": 42954, + "_SCAN": 42955, + "Ġae": 42956, + "Strict": 42957, + "ĠMinneapolis": 42958, + "ĠBoeing": 42959, + "aris": 42960, + "rek": 42961, + "_pipe": 42962, + "Ġpriests": 42963, + "(EIF": 42964, + "ehicles": 42965, + "ĠInteractive": 42966, + "between": 42967, + "ĉNullCheck": 42968, + "ĠBlair": 42969, + "ĠLt": 42970, + "_inline": 42971, + "ethyl": 42972, + "¼": 42973, + "_packages": 42974, + "Ġbarrels": 42975, + "_he": 42976, + "Ġregexp": 42977, + "_pts": 42978, + "_Handler": 42979, + "ingular": 42980, + "ĠNissan": 42981, + "ĠRanch": 42982, + "Ġperch": 42983, + "Unsupported": 42984, + "Smith": 42985, + "ĠLegends": 42986, + "Mi": 42987, + "Ġgf": 42988, + "steder": 42989, + "Ġacquiring": 42990, + "Ġsimulator": 42991, + "(),\"": 42992, + "receive": 42993, + "Ġinplace": 42994, + "ACTION": 42995, + "ĠWebDriver": 42996, + "filesystem": 42997, + "'+Ċ": 43009, + "Ġcredible": 43010, + "amat": 43011, + "playing": 43012, + ".setImageResource": 43013, + "quel": 43014, + "Ġpodr": 43015, + "geom": 43016, + "Ek": 43017, + "ĠQatar": 43018, + "Ġgeld": 43019, + "?',Ċ": 43020, + "Ġcyl": 43021, + "(ax": 43022, + "ĠWI": 43023, + "urally": 43024, + "ĠBrasil": 43025, + "Ġsenza": 43026, + "aley": 43027, + "onen": 43028, + "Ġbah": 43029, + "Ġmolecule": 43030, + "Rad": 43031, + "è¿°": 43032, + "ANCH": 43033, + "-background": 43034, + "-agent": 43035, + "Ġprolifer": 43036, + ":boolean": 43037, + "Ġtide": 43038, + "erializer": 43039, + "_;čĊ": 43040, + "Fee": 43041, + "**)": 43042, + "ergy": 43043, + "ĠHonor": 43044, + ".Logging": 43045, + "iris": 43046, + "Ġundermine": 43047, + "ĠDy": 43048, + "Ġtyr": 43049, + "Ġdeque": 43050, + "Ġdamer": 43051, + "([])Ċ": 43052, + ".layoutControlItem": 43053, + "peated": 43054, + "CAN": 43055, + "ragments": 43056, + "Land": 43057, + ")]);Ċ": 43058, + "ĠSah": 43059, + "ĠDECL": 43060, + "Within": 43061, + "ĠNamespace": 43062, + "another": 43063, + "sembling": 43064, + ".describe": 43065, + "Consum": 43066, + "ĠFear": 43067, + "given": 43068, + "Orange": 43069, + "This": 43093, + "ĠdataIndex": 43094, + "Ġprintable": 43095, + "ĠEyes": 43096, + "_targets": 43097, + "(Py": 43098, + ".over": 43099, + "Ġbru": 43100, + "ampton": 43101, + "Ġplaintiff": 43102, + ");Ċ": 43113, + "invest": 43114, + ".*ĊĊ": 43115, + "Ġtélé": 43116, + "Ġsuperf": 43117, + "Ġcascade": 43118, + "DTD": 43119, + "Ġvivid": 43120, + "Ġsubsidies": 43121, + "ĠHass": 43122, + "Ġcollaps": 43123, + "Ġceramic": 43124, + "{}\".": 43125, + "ĠLeakage": 43126, + "-trash": 43127, + "collapsed": 43128, + "-social": 43129, + "ĠChad": 43130, + "Ġinclined": 43131, + "Ġsto": 43132, + "Ġstoryboard": 43133, + ".payment": 43134, + "stackoverflow": 43135, + "ĠRaiders": 43136, + "Ġ#'": 43137, + "olicies": 43138, + "ìľ¼ë¡ľ": 43139, + "emap": 43140, + "Ġkj": 43141, + "Ġquota": 43142, + "ĠGardens": 43143, + "ë²Ī": 43144, + "ĠAngels": 43145, + "Ġoft": 43146, + "Ġlowercase": 43147, + "ĠiParam": 43148, + "Ġcheapest": 43149, + "unta": 43150, + "_pkt": 43151, + "icators": 43152, + "Ġleurs": 43153, + "Ġdecreases": 43154, + "ĉdefine": 43155, + "PREC": 43156, + "ammers": 43157, + "ĠPreparedStatement": 43158, + "(direction": 43159, + "Ġcrews": 43160, + "arked": 43161, + "ĠMemphis": 43162, + "ĠSell": 43163, + "GTK": 43164, + "Ġmaid": 43165, + ":disable": 43166, + "éĽĨ": 43167, + "ĠPf": 43168, + "Ġalbeit": 43169, + "openh": 43170, + "?>\">Ċ": 43171, + ".getSource": 43172, + "(scale": 43173, + "Du": 43174, + "ĠPIL": 43175, + "_refresh": 43176, + "Ġbets": 43177, + "(car": 43178, + "ĠVon": 43179, + "|--------------------------------------------------------------------------Ċ": 43180, + "ĠGrat": 43181, + "Much": 43182, + "(Dialog": 43183, + ".stopPropagation": 43184, + "Ġtek": 43185, + "Ġexits": 43186, + "'],$": 43187, + "ĠphoneNumber": 43188, + "ucs": 43189, + "ecimal": 43190, + "--------------": 43191, + "inp": 43192, + ".pojo": 43193, + "Ġcorpus": 43194, + "Ġpractitioners": 43195, + ".pic": 43196, + "\"testing": 43197, + "ĠstringBy": 43198, + ".NotNull": 43199, + "Ġrang": 43200, + ".Dynamic": 43201, + "_Render": 43202, + "аÑĤа": 43203, + "Waiting": 43204, + "ĠWik": 43205, + "Ġoverwhelmed": 43206, + "%\">": 43207, + "ĠAE": 43208, + "}}>Ċ": 43209, + "uw": 43210, + "_typ": 43211, + "Ġbuckets": 43212, + "Ġgreeting": 43213, + "Ġlaughter": 43214, + "Ġantagon": 43215, + "uggestion": 43216, + "-email": 43217, + "ĉtop": 43218, + "Ġeros": 43219, + "_tri": 43220, + "Ġissuing": 43221, + "Ġhá": 43222, + "Ġisolate": 43223, + "Overflow": 43224, + ",E": 43225, + "Ġnutritional": 43226, + "ĠAbbott": 43227, + "Ġnf": 43228, + ".touch": 43229, + ".fetchall": 43230, + "_zip": 43231, + "\")}Ċ": 43232, + "Ġamat": 43233, + "ĠCisco": 43234, + "ĠnÃ¥": 43235, + "PLEX": 43236, + "Ġsei": 43237, + "foto": 43238, + ".toJson": 43239, + "å¤ļ": 43240, + "ĠKlein": 43241, + "Ġlibc": 43242, + "Ġminers": 43243, + "å¢": 43244, + "-print": 43245, + "ĠPride": 43246, + "Todos": 43247, + "Ġmasked": 43248, + "ĠsetData": 43249, + "Ġtelefon": 43250, + "Ġunhappy": 43251, + "ĠTables": 43252, + "geb": 43253, + "(debug": 43254, + "_allowed": 43255, + "-access": 43256, + "Ġlogistics": 43257, + "Ġgems": 43258, + "ĠMature": 43259, + "Ġrsp": 43260, + "ĠAlle": 43261, + ".getBytes": 43262, + "\\web": 43263, + "ynchronized": 43264, + "Paragraph": 43265, + "Ġthrottle": 43266, + ".sqlite": 43267, + "consulta": 43268, + "ĠSeah": 43269, + "Ce": 43270, + "Ġsubmar": 43271, + "ERE": 43272, + "Vous": 43273, + "Ġreddit": 43274, + "Ġsqlalchemy": 43275, + "-mile": 43276, + "ocide": 43277, + "Pour": 43278, + "}}\">Ċ": 43279, + "stead": 43280, + "Ġ@(": 43281, + "Ġ[])": 43282, + "ĠAds": 43283, + "Ġoverload": 43284, + "ridden": 43285, + "ĠDesert": 43286, + "ĠWrap": 43287, + "ĠPortuguese": 43288, + "etz": 43289, + "ĉfirst": 43290, + "Ġmilestone": 43291, + "æĹł": 43292, + "ÑĥÑī": 43293, + "(success": 43294, + "\")Ċ": 43463, + "ĠDollar": 43464, + "Ġemoji": 43465, + "Carousel": 43466, + "-player": 43467, + "Ġadjusting": 43468, + "Ġjuga": 43469, + "allenges": 43470, + "gene": 43471, + "(bodyParser": 43472, + "lopedia": 43473, + "ĠBehind": 43474, + "Ġsleeves": 43475, + "Ġdragging": 43476, + "ĠChevrolet": 43477, + "Ġbiz": 43478, + "ivities": 43479, + "ĠFrequency": 43480, + ",char": 43481, + ".WHITE": 43482, + "_preview": 43483, + ")';Ċ": 43484, + "_ax": 43485, + "IONS": 43486, + ".cpu": 43487, + ".inputs": 43488, + "UBE": 43489, + "_feed": 43490, + "ĠSupplement": 43491, + "!).": 43492, + "esus": 43493, + "ĠUDP": 43494, + "Ġmicrophone": 43495, + "Ġconfirms": 43496, + ".isNotEmpty": 43497, + "\":\"\",Ċ": 43498, + "_SCREEN": 43499, + "ĉexpected": 43500, + "+-+-+-+-": 43501, + "ĠHait": 43502, + "fastcall": 43503, + "Ġdepict": 43504, + "vb": 43505, + "_picture": 43506, + "ĉdescription": 43507, + "ĠWife": 43508, + "uci": 43509, + "Ġvicious": 43510, + "ä»ĸ": 43511, + "ueba": 43512, + "ĠsetUser": 43513, + "ãģ¡": 43514, + "Ġdiving": 43515, + "Ġopera": 43516, + "usercontent": 43517, + "arah": 43518, + ")},": 43519, + "yun": 43520, + "velt": 43521, + "Ġuncovered": 43522, + "Ġhips": 43523, + "Ġoscill": 43524, + "Ġasserting": 43525, + "ĠXi": 43526, + ".restore": 43527, + "kea": 43528, + "Ġspelling": 43529, + "Ġderive": 43530, + "abwe": 43531, + "ĠDow": 43532, + ".setType": 43533, + "_vs": 43534, + "Ġcozy": 43535, + ".categories": 43536, + "Org": 43537, + "_mgr": 43538, + "Ġdungeon": 43539, + "collectionView": 43540, + "ĠBlank": 43541, + "acias": 43542, + "ää": 43543, + "_cleanup": 43544, + "_ACTIVITY": 43545, + "Ġtriangles": 43546, + ".MenuItem": 43547, + "Ġiphone": 43548, + "ĠWon": 43549, + "]]ĊĊ": 43550, + "ĠComparison": 43551, + ".Doc": 43552, + "Ġcanonical": 43553, + "ĠSudan": 43554, + "'){": 43555, + "UpInside": 43556, + "builtin": 43557, + "ENCY": 43558, + "xbe": 43559, + "Ġchuck": 43560, + "Ġcontradict": 43561, + "Ġnuestro": 43562, + "Ġarchitectural": 43563, + "ĠFib": 43564, + "Ġcompares": 43565, + "*k": 43566, + "Cfg": 43567, + "çĦ¡": 43568, + "nten": 43569, + "Matches": 43570, + "ĠDOWNLOAD": 43571, + "_HANDLER": 43572, + "management": 43573, + "[S": 43574, + "ENG": 43575, + "ÂĢÂ": 43576, + "fang": 43577, + "Ġslipped": 43578, + "ĠLanka": 43579, + "escaping": 43580, + "Ġtackles": 43581, + "ĠPedro": 43582, + ".Prop": 43583, + ".''": 43584, + ".Generated": 43585, + ".NewGuid": 43586, + "atrigesimal": 43587, + "illon": 43588, + "Ġstatistic": 43589, + "species": 43590, + "holding": 43591, + "Drupal": 43592, + "Ġfundamentally": 43593, + "Ġbondage": 43594, + "Ġresolutions": 43595, + "InlineData": 43596, + "\\Type": 43597, + "estion": 43598, + ".wrap": 43599, + "Ġwarriors": 43600, + "ĠLOCAL": 43601, + "Archive": 43602, + "Ġembraced": 43603, + "ủ": 43604, + ".Ver": 43605, + "ĠAffordable": 43606, + "olesale": 43607, + "ĠApplied": 43608, + "ĠConversion": 43609, + "mega": 43610, + "_cam": 43611, + "Ġceremon": 43612, + "aurus": 43613, + "ĠVolk": 43614, + ".opens": 43615, + "/about": 43616, + "ĠStd": 43617, + "journal": 43618, + "()){čĊ": 43619, + ",\"\\": 43620, + "(Arrays": 43621, + "ĠDense": 43622, + "aseña": 43623, + "änner": 43624, + "/stat": 43625, + "userData": 43626, + "Ġgerman": 43627, + "Ġtz": 43628, + "worthy": 43629, + "FormatException": 43630, + "pherd": 43631, + "Ġsmiles": 43632, + "ĠWhenever": 43633, + "(adapter": 43634, + ".badlogic": 43635, + "Ġbriefing": 43636, + ".GridColumn": 43637, + "-char": 43638, + "dimension": 43639, + "ĠCopper": 43640, + "Ġninth": 43641, + "Ġ'{{": 43642, + "Ġrav": 43643, + "_Table": 43644, + "Ġderivatives": 43645, + "ĠRaise": 43646, + "ĠFut": 43647, + "armor": 43648, + "-padding": 43649, + "Ġremin": 43650, + "ĉstyle": 43651, + "ĠMembership": 43652, + "Ġspreads": 43653, + "Ġgalleries": 43654, + "ĠClarke": 43655, + "Ġconception": 43656, + "minute": 43657, + "Ġabusive": 43658, + "_adj": 43659, + "Ġterrific": 43660, + "Ġovert": 43661, + "ourcing": 43662, + "Ġentrada": 43663, + "levels": 43664, + "Ġcritique": 43665, + "Ġrespects": 43666, + "ĠMMA": 43667, + "iene": 43668, + "Ġencaps": 43669, + "ĠRaymond": 43670, + "Divider": 43671, + "ivable": 43672, + "baz": 43673, + "Ġ@_;Ċ": 43674, + "ĠClaire": 43675, + "Ġurging": 43676, + "CEE": 43677, + "Ġtransformer": 43678, + "discord": 43679, + "ĠJourney": 43680, + "tos": 43681, + "Ġcompetitions": 43682, + "ĠOBJ": 43683, + "ĠBis": 43684, + "Ġrelaxation": 43685, + "idy": 43686, + "_INSTANCE": 43687, + "ĠPref": 43688, + "dados": 43689, + "iciencies": 43690, + "ĠMediaQuery": 43691, + "ĠCube": 43692, + "ĠStrange": 43693, + "gpu": 43694, + "(days": 43695, + "_InitStruct": 43696, + "Ġfingerprint": 43697, + "emat": 43698, + "ĠGecko": 43699, + "Ġrails": 43700, + "ĠLum": 43701, + "straction": 43702, + "igung": 43703, + "(movie": 43704, + "_dictionary": 43705, + "_interrupt": 43706, + "ĠQC": 43707, + "iked": 43708, + "appendChild": 43709, + "recipient": 43710, + "ré": 43711, + "Ve": 43712, + "Ġtowel": 43713, + ".lastIndexOf": 43714, + "Ġplacebo": 43715, + "ĠWie": 43716, + ".esp": 43717, + "(Debug": 43718, + "operative": 43719, + "Ġdeceased": 43720, + "&id": 43721, + "ĉmutex": 43722, + "elic": 43723, + "Ġbapt": 43724, + "ĉčĊčĊ": 43725, + "Ġfarther": 43726, + "Half": 43727, + ".disable": 43728, + ".menuStrip": 43729, + "leccion": 43730, + "ĠresultCode": 43731, + "Ġcans": 43732, + "-election": 43733, + "female": 43734, + "_FIX": 43735, + "ausible": 43736, + "ĠPOWER": 43737, + "Ġreconstruction": 43738, + "Ġscans": 43739, + ".XtraBars": 43740, + "âĢĺs": 43741, + "Removed": 43742, + "Ġparagraphs": 43743, + "_margin": 43744, + "Ġlymph": 43745, + "Ġbos": 43746, + "lington": 43747, + "ĠBaptist": 43748, + "Ġadvertisements": 43749, + "ĠManage": 43750, + "/yyyy": 43751, + "IOUS": 43752, + "ENCES": 43753, + "ĠFiction": 43754, + "ĉmenu": 43755, + "ĠFileOutputStream": 43756, + "ovan": 43757, + "ĠFeng": 43758, + "Ġskipping": 43759, + "getClass": 43760, + "anni": 43761, + "Ġrebounds": 43762, + "Ġpublicity": 43763, + "Ġingres": 43764, + "usement": 43765, + "Ġthoughtful": 43766, + ".Chart": 43767, + "Ġhatte": 43768, + "passport": 43769, + "Ġhooked": 43770, + "ĠLens": 43771, + "Ġflagship": 43772, + "Ġstip": 43773, + "ĠGEN": 43774, + "Ġclues": 43775, + "ipv": 43776, + "ĠRise": 43777, + "ĠGew": 43778, + "tablename": 43779, + "Ġforemost": 43780, + "_validate": 43781, + "_analysis": 43782, + "olla": 43783, + "Ġqualifications": 43784, + "Ġdistributions": 43785, + "ĠFlower": 43786, + "Ġtense": 43787, + "Ġthankful": 43788, + "Ġclutch": 43789, + "Ġunified": 43790, + "roads": 43791, + "Ġsiti": 43792, + "Ġstall": 43793, + "_PRIORITY": 43794, + "cstdlib": 43795, + "_USERNAME": 43796, + ".bytes": 43797, + "?page": 43798, + "ermalink": 43799, + "ĠVeget": 43800, + "/vnd": 43801, + "-author": 43802, + ".NONE": 43803, + "ĠConcurrent": 43804, + "ĠCry": 43805, + "Ġstarters": 43806, + "ĠInteraction": 43807, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 43808, + "ĠLEVEL": 43809, + "Ell": 43810, + "ĠcomboBox": 43811, + "ĠTheresa": 43812, + "tek": 43813, + "_Handle": 43814, + "Ġaby": 43815, + ".gdx": 43816, + ",end": 43817, + "(Local": 43818, + "Ol": 43819, + "knife": 43820, + "arial": 43821, + "ĠHoff": 43822, + "Ġprostituerade": 43823, + "Doctor": 43824, + "Instances": 43825, + ".SetValue": 43826, + "ĉfrom": 43827, + "Ġluxurious": 43828, + "Indent": 43829, + "Allocator": 43830, + "_DRAW": 43831, + "(\",\",": 43832, + "ĠFrances": 43833, + "ĠgroupBox": 43834, + "(schema": 43835, + "Printf": 43836, + "ORIES": 43837, + "-gradient": 43838, + "Ġreput": 43839, + "arin": 43840, + "_DONE": 43841, + "incre": 43842, + "ignty": 43843, + "Ġexert": 43844, + "Ġ-.": 43845, + "/App": 43846, + "-through": 43847, + "Ġdeclining": 43848, + "Ġdessert": 43849, + "Ġincumb": 43850, + "Ġdesignation": 43851, + ".PORT": 43852, + ",strong": 43853, + "Ġsandbox": 43854, + "Ġwines": 43855, + "ĠPav": 43856, + "$str": 43857, + "askell": 43858, + "Ġhö": 43859, + "ĠPY": 43860, + "GetInstance": 43861, + "TextInput": 43862, + "gameObject": 43863, + "/events": 43864, + "createdAt": 43865, + "ĠlocalVar": 43866, + "ĠWHITE": 43867, + "pered": 43868, + "ilege": 43869, + "efficient": 43870, + ",color": 43871, + "cate": 43872, + "ĠCafe": 43873, + "Ġsimilarities": 43874, + "Ġpumps": 43875, + "ĠHungary": 43876, + ".Username": 43877, + "Ġskate": 43878, + "Ġtouchdowns": 43879, + "Ġaccelerate": 43880, + "ĠHelen": 43881, + "OMEM": 43882, + "ĠKun": 43883, + "_vol": 43884, + "ĠfindAll": 43885, + "ĠMenschen": 43886, + "ahead": 43887, + ");\"": 43888, + "kommen": 43889, + "Ġpossessed": 43890, + ".argmax": 43891, + ".transition": 43892, + "ARP": 43893, + "OLUME": 43894, + "(script": 43895, + "ĠÐĺ": 43896, + "ĠFinding": 43897, + "onces": 43898, + "Io": 43899, + "Bold": 43900, + "Ġrenewal": 43901, + "_DIALOG": 43902, + "Ġdisreg": 43903, + "INTERN": 43904, + "Ġtoute": 43905, + "Ġelectr": 43906, + "ĠGross": 43907, + "ĉtrue": 43908, + ".Fields": 43909, + "ĠWIDTH": 43910, + "ĠDent": 43911, + "ĠÃģ": 43912, + "NSNotification": 43913, + "Ġaos": 43914, + "Ġmelee": 43915, + ".Validation": 43916, + "ĠDEC": 43917, + "-dependent": 43918, + "Ġsuic": 43919, + "Traits": 43920, + "$message": 43921, + "ĠDear": 43922, + "ĉFILE": 43923, + "languages": 43924, + ".Prot": 43925, + ".addr": 43926, + "-generation": 43927, + "ICON": 43928, + "Ġtransplant": 43929, + "-description": 43930, + "Ġchasing": 43931, + "Ġchees": 43932, + "Ġ}*/Ċ": 43933, + "Trad": 43934, + "queries": 43935, + "/widgets": 43936, + "subpackage": 43937, + "Ġespec": 43938, + "Ġcracked": 43939, + "Ġcompetitor": 43940, + "Purchase": 43941, + "-team": 43942, + "olecular": 43943, + "orThunk": 43944, + "&P": 43945, + "Ġrelent": 43946, + "/#{": 43947, + "ĠproductId": 43948, + "Ġè¾": 43949, + "ĠLav": 43950, + "ĠAlter": 43951, + ".Mode": 43952, + "ADIO": 43953, + "grp": 43954, + "æ·»åĬł": 43955, + "Quit": 43956, + "Ġdepths": 43957, + "-category": 43958, + "ĠDATABASE": 43959, + "SPELL": 43960, + "ĠFalcon": 43961, + "ĠQStringList": 43962, + "Ġ''.": 43963, + "ĠInstitution": 43964, + "damage": 43965, + "azor": 43966, + "belongsTo": 43967, + "verages": 43968, + "ĠNONE": 43969, + "ippets": 43970, + ",\\Ċ": 43971, + "Ġfootprint": 43972, + "_archive": 43973, + "nak": 43974, + ".getField": 43975, + "ĠReflection": 43976, + "Ġ']": 43977, + "ĠHBO": 43978, + "_discount": 43979, + "Ġincest": 43980, + "ĠDodge": 43981, + "ĠWade": 43982, + ".NO": 43983, + "\"encoding": 43984, + "ĠBlockchain": 43985, + "Ġlawsuits": 43986, + "ĠMaint": 43987, + "chten": 43988, + "Ġétait": 43989, + "Ġktóre": 43990, + "_ctl": 43991, + "(timer": 43992, + "Battle": 43993, + "izo": 43994, + "ayed": 43995, + "IOR": 43996, + "ĠGlasgow": 43997, + "Ġsynth": 43998, + "_logs": 43999, + ".pose": 44000, + "_AdjustorThunk": 44001, + "((&": 44002, + "Ġunsure": 44003, + "ystate": 44004, + "íķĺëĬĶ": 44005, + "OULD": 44006, + ".ng": 44007, + "Ġdefaultdict": 44008, + "workspace": 44009, + "Ġselective": 44010, + "PickerController": 44011, + "YNAMIC": 44012, + ".methods": 44013, + "Ġpathways": 44014, + "ĠFew": 44015, + "KG": 44016, + "CRYPT": 44017, + "following": 44018, + "ĠDLC": 44019, + "ĠSara": 44020, + "Ġpreset": 44021, + "estructor": 44022, + "ĠKurt": 44023, + "Ġairplane": 44024, + "Ġomp": 44025, + "ĠParents": 44026, + "ĠMartinez": 44027, + ".complete": 44028, + "Ġbroadly": 44029, + "Ġscare": 44030, + "ĠMé": 44031, + "Ġelimination": 44032, + "Ġpoured": 44033, + "/sw": 44034, + "Ġcomun": 44035, + "Ġmasc": 44036, + "ĠOrganic": 44037, + "ĠStringUtils": 44038, + "ilateral": 44039, + "Ġreluctant": 44040, + "-age": 44041, + "Ġnz": 44042, + ".\"\\": 44043, + "Ġpastor": 44044, + "alez": 44045, + "Ġefect": 44046, + "prov": 44047, + "/init": 44048, + "Ġpenn": 44049, + "unds": 44050, + "Ġssize": 44051, + "ĠProj": 44052, + "basename": 44053, + "Ġshells": 44054, + "ĠNeck": 44055, + "ĠEnforcement": 44056, + "vided": 44057, + "stown": 44058, + "Sphere": 44059, + "$r": 44060, + "ussen": 44061, + "afil": 44062, + "ĠTelegram": 44063, + "Ġanalytical": 44064, + "нÑĭе": 44065, + "usually": 44066, + "xn": 44067, + "Ġhistorian": 44068, + "ĠGregory": 44069, + "olph": 44070, + "ĠUna": 44071, + "Ġcontributes": 44072, + "%-": 44073, + "antiago": 44074, + "ÑĢед": 44075, + ".region": 44076, + "Ġabrupt": 44077, + "ĠUnsupportedOperationException": 44078, + "ĠTASK": 44079, + "_finish": 44080, + "Ġnotorious": 44081, + "ĠVs": 44082, + "ĠMQ": 44083, + "Ġsunset": 44084, + "Ġunacceptable": 44085, + "arcer": 44086, + "Ġillumin": 44087, + "ĠOrb": 44088, + "Ġbh": 44089, + "Este": 44090, + "_dispatch": 44091, + "Ġripped": 44092, + "Ġtoujours": 44093, + "ĠParcel": 44094, + "_ll": 44095, + ".userName": 44096, + ".classes": 44097, + "SOURCE": 44098, + "(Number": 44099, + "елÑı": 44100, + "Ġheadphones": 44101, + "(side": 44102, + "constitution": 44103, + "annah": 44104, + "čĊĠĠĠĠĠĠĠĠčĊ": 44105, + "Ġcliff": 44106, + "-ref": 44107, + "Ġmostrar": 44108, + "ĠPowell": 44109, + "+y": 44110, + "ĠBG": 44111, + "_fragment": 44112, + ".Port": 44113, + "Ġrealizing": 44114, + "paramref": 44115, + "Ġhometown": 44116, + "@Table": 44117, + "+\"--}}Ċ": 44296, + "French": 44297, + "EntityManager": 44298, + "ĠPlain": 44299, + "////////////////////////////////////////////////////////////////////": 44300, + "³": 44301, + "(RE": 44302, + "capt": 44303, + "Ġorganisms": 44304, + "Ġjets": 44305, + "olocation": 44306, + "ĠAppRoutingModule": 44307, + "Ġglorious": 44308, + "æľį": 44309, + "Ġdiscarded": 44310, + "ĉĉĉĉĠĠĠĠĠ": 44311, + "ĠArnold": 44312, + "lug": 44313, + "Ġparl": 44314, + "Ġhormones": 44315, + "Ġmah": 44316, + "ĠSonic": 44317, + "Ġorganizers": 44318, + "_PLATFORM": 44319, + ".inv": 44320, + "Ġchord": 44321, + "ventional": 44322, + "ĉof": 44323, + "Episode": 44324, + ".Enum": 44325, + "unkt": 44326, + "ĠDh": 44327, + "ĠJared": 44328, + "ĠNak": 44329, + "Ġintends": 44330, + "Endian": 44331, + "Ġaustralia": 44332, + "_cv": 44333, + "(resolve": 44334, + "Ġclinics": 44335, + "liked": 44336, + "ASHINGTON": 44337, + "inha": 44338, + "'*": 44339, + "ĠNP": 44340, + "_beh": 44341, + "Ġhf": 44342, + "Ġwür": 44343, + "categoria": 44344, + "$form": 44345, + "Ġsubway": 44346, + "ĠisActive": 44347, + "popular": 44348, + "Cour": 44349, + "Ġcooldown": 44350, + "Ġainsi": 44351, + "ĠGLuint": 44352, + "ereal": 44353, + "ĠarrayOf": 44354, + "Ġhatch": 44355, + "==========": 44356, + "resses": 44357, + "_PP": 44358, + ".^": 44359, + "_decay": 44360, + "ĠBless": 44361, + "metrics": 44362, + "ĠCOPYING": 44363, + "ĠDumpster": 44364, + "ĠJosé": 44365, + "ĠDesigns": 44366, + "<": 44369, + "Ġ\"}Ċ": 44370, + "timezone": 44371, + "Ġeer": 44372, + "maxcdn": 44373, + "ĠESC": 44374, + "igaret": 44375, + "_connected": 44376, + "_reverse": 44377, + "Ġquestionable": 44378, + "ĠUSC": 44379, + "Ġtutti": 44380, + "Ġdropout": 44381, + "ĠActivities": 44382, + "ĠWinds": 44383, + "')));Ċ": 44384, + "Ġcongest": 44385, + "ģı": 44386, + "Ġprolonged": 44387, + "è¿Ļ": 44388, + "ĠCrossAxisAlignment": 44389, + "LEEP": 44390, + "ĠVALID": 44391, + "ĠGaz": 44392, + "Ġdependence": 44393, + "ĠPrix": 44394, + ".CompilerServices": 44395, + "jump": 44396, + "Ġstrat": 44397, + "circ": 44398, + "ĠCUSTOM": 44399, + "xaa": 44400, + "Ġbmp": 44401, + "Ġbureau": 44402, + "Ġwaren": 44403, + "NX": 44404, + "(Window": 44405, + "ĠChristie": 44406, + "_FE": 44407, + "Ġtn": 44408, + "ĠOmega": 44409, + "communications": 44410, + "HomePage": 44411, + "completion": 44412, + "Ġsupplying": 44413, + "YPES": 44414, + "ável": 44415, + "åĪ¶": 44416, + "(click": 44417, + "\\Contracts": 44418, + "/questions": 44419, + "Ġez": 44420, + "AMS": 44421, + ".mesh": 44422, + "Ġ'\\Ċ": 44473, + "Robot": 44474, + "JsonObject": 44475, + "ĠDF": 44476, + "ĠProcessor": 44477, + "_should": 44478, + ".protobuf": 44479, + "-users": 44480, + "Ġembry": 44481, + "FONT": 44482, + "Ġstartups": 44483, + "ĠDataSource": 44484, + ")#": 44485, + "uros": 44486, + "_Color": 44487, + "Ġstandalone": 44488, + "}[": 44489, + "jd": 44490, + "Ġforgive": 44491, + "Ġngx": 44492, + "ĠGenerally": 44493, + "Ġconfigurable": 44494, + "/order": 44495, + "Ġvas": 44496, + "')\";Ċ": 44497, + "ĠRR": 44498, + "ĠTroy": 44499, + "Ġcompromised": 44500, + "ĠSwan": 44501, + "intendent": 44502, + "Central": 44503, + "_keeper": 44504, + "Ġarquivo": 44505, + "ĠReadOnly": 44506, + "_curve": 44507, + "kv": 44508, + "entin": 44509, + "è±": 44510, + "ĠEy": 44511, + ".imread": 44512, + "ĠPam": 44513, + "iffe": 44514, + "ativity": 44515, + "xbc": 44516, + "Ġgrim": 44517, + "-filled": 44518, + "namese": 44519, + "']:": 44520, + "Ġaur": 44521, + "ĠGibson": 44522, + ".MouseEvent": 44523, + "Ġlado": 44524, + "avadoc": 44525, + "Ġfamil": 44526, + "ĠModer": 44527, + "fps": 44528, + "ãĢĢãĢĢ": 44529, + "-example": 44530, + "ĠAlzheimer": 44531, + "ĠUtf": 44532, + "_arguments": 44533, + "Conclusion": 44534, + "textContent": 44535, + "remaining": 44536, + "Ġinterrupts": 44537, + "ĠBackup": 44538, + "ĠMong": 44539, + "Ġreceptors": 44540, + "histor": 44541, + ".coroutines": 44542, + "Ġshouted": 44543, + "Alarm": 44544, + "Ġcombust": 44545, + "Ġgrote": 44546, + "ultural": 44547, + "(ids": 44548, + "--------------------------------------------------------------------------------": 44549, + "iplinary": 44550, + "Opts": 44551, + "ĠYale": 44552, + "localStorage": 44553, + "Ġequival": 44554, + "ĠFleet": 44555, + "\\b": 44556, + "*pi": 44557, + "ĠQLabel": 44558, + "æ¡": 44559, + "Ġvx": 44560, + "ĠACL": 44561, + "Ġsucesso": 44562, + "Ġperc": 44563, + "ĠNotre": 44564, + "Ġanarch": 44565, + "Ring": 44566, + "spb": 44567, + "Ġstrpos": 44568, + "stores": 44569, + "ĠMaple": 44570, + "(MainActivity": 44571, + "(\"\"))": 44572, + "ĠviewHolder": 44573, + "Quad": 44574, + "Ġigual": 44575, + "orsche": 44576, + ".margin": 44577, + "Ġindie": 44578, + "Ġfranc": 44579, + "ĠFormBuilder": 44580, + "ĠParticip": 44581, + ".flash": 44582, + "Ġstorms": 44583, + "Ult": 44584, + "Ġfen": 44585, + "[new": 44586, + "Ever": 44587, + "=\"Ċ": 44588, + "Ġlocalized": 44589, + "_follow": 44590, + "Ġnave": 44591, + "Ġdominance": 44592, + "(tile": 44593, + "Journal": 44594, + "ĠVC": 44595, + "Ġpenetration": 44596, + "ï¼ķ": 44597, + "Ġcompartment": 44598, + "Ġbids": 44599, + "Formatted": 44600, + "******/ĊĊ": 44601, + "(city": 44602, + "âĢĶit": 44603, + "[C": 44604, + "ĠuseCallback": 44605, + "aub": 44606, + ")?.": 44607, + "ĠVAR": 44608, + "ĠSebastian": 44609, + "ĠMoss": 44610, + "Ġabundant": 44611, + "Greg": 44612, + "ÑĤа": 44613, + "_ci": 44614, + "Ġbibli": 44615, + "CRM": 44616, + "ĠAttempt": 44617, + "isme": 44618, + "dash": 44619, + "ãĢİ": 44620, + "_mu": 44621, + ".FormattingEnabled": 44622, + "Indeed": 44623, + "-direct": 44624, + "Ġsucking": 44625, + "Ġpne": 44626, + "ocabulary": 44627, + "ĠPackers": 44628, + ".Navigation": 44629, + "Ġpied": 44630, + "cribing": 44631, + "ĠStuart": 44632, + ".ToDouble": 44633, + "ĠSecondary": 44634, + "Saving": 44635, + "ĠDut": 44636, + "ĠMadd": 44637, + "Magic": 44638, + ",H": 44639, + ".documentElement": 44640, + "ĠBST": 44641, + "Ġdiffers": 44642, + "Ġmoreover": 44643, + "_nd": 44644, + "SEARCH": 44645, + "пÑĢав": 44646, + "æ´": 44647, + "toMatch": 44648, + "Ġdecreasing": 44649, + "-member": 44650, + "ampus": 44651, + "(boost": 44652, + "Daily": 44653, + "DataGridView": 44654, + "ĠHttpContext": 44655, + "Ġhipp": 44656, + "_workers": 44657, + "-language": 44658, + "éĵ": 44659, + "Ġconsisted": 44660, + "athing": 44661, + "ĠMercury": 44662, + "$content": 44663, + "Ġpracticed": 44664, + "ĠModules": 44665, + "_DAY": 44666, + "Ġweaknesses": 44667, + "ĠLodge": 44668, + "Ġnar": 44669, + "ĠMate": 44670, + "Ġjp": 44671, + "ĠHttpHeaders": 44672, + "Ġsmo": 44673, + "ĠTOKEN": 44674, + "])(": 44675, + "Ġaqui": 44676, + "swagen": 44677, + "Ġsrv": 44678, + "ĉans": 44679, + "Around": 44680, + "ĠManuel": 44681, + "Ġfictional": 44682, + "ĠIMG": 44683, + "Ġ.'": 44684, + "ĠBerry": 44685, + "Ġwallpaper": 44686, + "sexual": 44687, + "iero": 44688, + "ĠçļĦ": 44689, + "ìĨĮ": 44690, + "BackingField": 44691, + "ĠAdrian": 44692, + "BASEPATH": 44693, + "Ġrepeats": 44694, + "Ġblues": 44695, + "Ġunpredict": 44696, + "_coll": 44697, + "stacle": 44698, + "ĠTumblr": 44699, + "ĠElf": 44700, + "Ġassurance": 44701, + "Ġcensus": 44702, + "ĠIMPORT": 44703, + "ENDER": 44704, + "anos": 44705, + "Ġ=(": 44706, + "ĠEllis": 44707, + "\"ĊĊĊĊ": 44708, + ".win": 44709, + "ĠAbove": 44710, + "alon": 44711, + "_tick": 44712, + "Ġrepresentations": 44713, + "Ġæķ": 44714, + "wid": 44715, + "ĠArms": 44716, + "Lista": 44717, + "_failure": 44718, + "_cm": 44719, + ".FlatAppearance": 44720, + "Ġthrone": 44721, + "Patch": 44722, + "ĠVoy": 44723, + "engl": 44724, + "Ġnegotiating": 44725, + ">`": 44726, + "Ġshoots": 44727, + "ĠFPS": 44728, + ".Year": 44729, + "ĠKiss": 44730, + "ención": 44731, + "reeting": 44732, + "FromFile": 44733, + "Ġresignation": 44734, + "Ø·": 44735, + "Ġtwins": 44736, + "ượ": 44737, + "Ġgebru": 44738, + ".getContent": 44739, + ".Tree": 44740, + "ĠEmployees": 44741, + "ĠFIFA": 44742, + "Ġcertainty": 44743, + "(Cl": 44744, + "Ġtotals": 44745, + "editable": 44746, + "à¥Ģ": 44747, + ".Reporting": 44748, + "Mas": 44749, + "quiet": 44750, + ".rules": 44751, + "ĠVO": 44752, + "conexion": 44753, + ",K": 44754, + "Ġallocator": 44755, + "ĠPowder": 44756, + "\\Repository": 44757, + "Beat": 44758, + "_tipo": 44759, + "Ġ['',": 44760, + "_INTR": 44761, + "Ġ<<<": 44762, + "\");čĊ": 44791, + "dropIfExists": 44792, + "ĠBeg": 44793, + "_HAL": 44794, + "ĠcrossAxisAlignment": 44795, + "ĠEvidence": 44796, + "Ġpeculiar": 44797, + "Ġinstitute": 44798, + "veis": 44799, + "Ġfft": 44800, + "Ãģ": 44801, + "Ġzoekt": 44802, + "analy": 44803, + "ĠHomeland": 44804, + "Ġpenetr": 44805, + "uddenly": 44806, + "ĉelement": 44807, + "ĠBren": 44808, + "ĠTrudeau": 44809, + "ĠCuban": 44810, + "jam": 44811, + "uslim": 44812, + "_ev": 44813, + "Ġstems": 44814, + "}%": 44815, + "Ŀå§ĭ": 44816, + "Ġbranding": 44817, + "Ġcorrespondence": 44818, + ".jquery": 44819, + "¢åįķ": 44820, + "ĠReads": 44821, + "(HttpStatusCode": 44822, + "assin": 44823, + "(slot": 44824, + "ĠGraduate": 44825, + "///<": 44826, + "Ġinformations": 44827, + "ENABLE": 44828, + "Ġpuis": 44829, + "Ġfinder": 44830, + "ĠBris": 44831, + "Ġnettsteder": 44832, + "_mid": 44833, + "Ġogs": 44834, + "ĠSterling": 44835, + "Ġarrog": 44836, + "strftime": 44837, + "|ĊĊ": 44838, + "Ġvox": 44839, + "ĠRegardless": 44840, + "Ġeso": 44841, + "ĠComfort": 44842, + ".BooleanField": 44843, + "Ġuh": 44844, + "ACY": 44845, + "Ġsqueez": 44846, + "ĠVic": 44847, + "contro": 44848, + ".lo": 44849, + "Ġire": 44850, + "ĠComedy": 44851, + "ë¶": 44852, + "Ġoriginated": 44853, + "Ġshipment": 44854, + "|max": 44855, + "_guid": 44856, + "levation": 44857, + "наÑı": 44858, + "(undefined": 44859, + "ĠDDR": 44860, + "Ġshootings": 44861, + "ĠLatino": 44862, + "ENDOR": 44863, + "Ġaveraging": 44864, + "Ġgreeted": 44865, + "Ġtheaters": 44866, + "ое": 44867, + "ĠdB": 44868, + "Ġgst": 44869, + "Ġdefinite": 44870, + ".Storage": 44871, + ".her": 44872, + "Ġafore": 44873, + "ĠReality": 44874, + "ĠGods": 44875, + "versed": 44876, + "Ġhandsome": 44877, + "Ġexcluding": 44878, + "(ad": 44879, + "Quotes": 44880, + "ĠScheme": 44881, + "?q": 44882, + "ĠTamil": 44883, + "Ticks": 44884, + "Ġpest": 44885, + "'n": 44886, + "Ġpornography": 44887, + "_modal": 44888, + "Ġ----------": 44889, + "Ġdisposable": 44890, + "FREE": 44891, + "Ġshark": 44892, + "CHE": 44893, + "Ġdepicted": 44894, + "Ġdemonstrations": 44895, + "ĠKilled": 44896, + "ĠRULE": 44897, + "Ġobsessed": 44898, + "Ġsimplified": 44899, + "Postal": 44900, + "Ġconceptual": 44901, + "Ġpst": 44902, + "Las": 44903, + "_PROJECT": 44904, + "ucceeded": 44905, + "olu": 44906, + "ÄŁi": 44907, + "Ġpersonalities": 44908, + "Ġreshape": 44909, + "Ġenclosed": 44910, + "ĉptr": 44911, + "Ġtutorials": 44912, + "Ġexploded": 44913, + "_DIRECTORY": 44914, + "åĨħ容": 44915, + "Ġcanon": 44916, + "Ġrecognise": 44917, + "PAD": 44918, + "ĠApprox": 44919, + "ĠRestore": 44920, + "ĠImportant": 44921, + "Ġheavier": 44922, + ".Sequential": 44923, + "Earth": 44924, + "ĠMilk": 44925, + ".setRequest": 44926, + ".tem": 44927, + "Ġreconstruct": 44928, + "Ġskeptical": 44929, + "_Private": 44930, + "BUF": 44931, + "qua": 44932, + ":a": 44933, + "Ġsek": 44934, + "Ġdwell": 44935, + "ossa": 44936, + "Ġrewarded": 44937, + "ий": 44938, + "(topic": 44939, + "_partition": 44940, + "Ġ__________________": 44941, + "Keywords": 44942, + "ĠFranco": 44943, + "Lite": 44944, + "Ġnaken": 44945, + "Ġза": 44946, + "OBJECT": 44947, + "Ġcrafts": 44948, + "ĠSwap": 44949, + ".Xna": 44950, + ".Connect": 44951, + "Ġbalcony": 44952, + "(real": 44953, + "ĠBarnes": 44954, + "bir": 44955, + "ĠTwenty": 44956, + "ayan": 44957, + "atars": 44958, + "ĠPropel": 44959, + "ĠIhnen": 44960, + "Upgrade": 44961, + "Ġcurb": 44962, + "-second": 44963, + "Ġneph": 44964, + ".pres": 44965, + "ìŀħ": 44966, + ".seq": 44967, + "Ġpadded": 44968, + "\"?": 44969, + "jl": 44970, + "ãĥ¬": 44971, + "')a": 44975, + "Coordinates": 44976, + "Ġenacted": 44977, + "ENTS": 44978, + "Ġlac": 44979, + ".final": 44980, + "ĠPhpStorm": 44981, + "called": 44982, + "Ġinquiries": 44983, + ".middleware": 44984, + "ĠDowntown": 44985, + "/';Ċ": 44986, + "Ġkilomet": 44987, + "accel": 44988, + "Ġquien": 44989, + "wstring": 44990, + "setData": 44991, + "Ġmanera": 44992, + "Ġmodular": 44993, + "rimp": 44994, + "Ġtariffs": 44995, + "âĢĻil": 44996, + "_THROW": 44997, + "/color": 44998, + "ĠHTMLElement": 44999, + "Ġcarro": 45000, + "Ġprere": 45001, + "Ġplotting": 45002, + "ĠPositive": 45003, + "ĠMachines": 45004, + "OTES": 45005, + "Ỽ": 45006, + "pleasant": 45007, + "Ġalte": 45008, + "Ġainda": 45009, + "these": 45010, + "Ġcors": 45011, + "ipay": 45012, + "ĠAdvisory": 45013, + "ĠRubio": 45014, + "jq": 45015, + "Ġlimestone": 45016, + "Ġdetached": 45017, + "设置": 45018, + "tenant": 45019, + "ĠDepth": 45020, + "alore": 45021, + "ĠÑģÑĤÑĢок": 45022, + "ĠFORE": 45023, + "ĠLay": 45024, + "presentation": 45025, + ")');Ċ": 45026, + ".subplots": 45027, + "Ïĥ": 45028, + "NOW": 45029, + "Gar": 45030, + "handles": 45031, + "abra": 45032, + "puties": 45033, + "ĠElectrical": 45034, + "Middle": 45035, + "ropic": 45036, + "ĠJD": 45037, + "ĠDyn": 45038, + "ĠBristol": 45039, + "ĠMcCarthy": 45040, + "Ġstriker": 45041, + "Ġenumerable": 45042, + "ĠEvan": 45043, + ".defaults": 45044, + "quences": 45045, + ")||": 45046, + "ĉtoken": 45047, + "âĹı": 45048, + "-dropdown": 45049, + "STORE": 45050, + "ĠGraphic": 45051, + "(pp": 45052, + "Expl": 45053, + "Ġupwards": 45054, + "ĠDistributed": 45055, + "ĠWEB": 45056, + "Jer": 45057, + "isNaN": 45058, + "çĶŁæĪIJ": 45059, + ">R": 45060, + "üssen": 45061, + "efs": 45062, + "Ġuncover": 45063, + "Ġlud": 45064, + ".calculate": 45065, + "Ġintptr": 45066, + "Ġmidfielder": 45067, + ".Headers": 45068, + "Ġmf": 45069, + "eref": 45070, + ".Metro": 45071, + "ĠSpeaking": 45072, + ":b": 45073, + "Ġcryptocurrencies": 45074, + "Ġdemons": 45075, + "ĉEXPECT": 45076, + "Ġwicked": 45077, + "youtube": 45078, + ":Int": 45079, + "ĠHindi": 45080, + "ĠCAT": 45081, + "Ġع": 45082, + "rar": 45083, + "omore": 45084, + "/per": 45085, + "/license": 45086, + "Ġreim": 45087, + "Ġawaiting": 45088, + "Ġlethal": 45089, + "ĠEF": 45090, + "rounded": 45091, + "ĠPlatinum": 45092, + "ĠвÑģе": 45093, + ".coords": 45094, + ".Device": 45095, + "/item": 45096, + "ĠWenn": 45097, + "compileComponents": 45098, + "ĠKinder": 45099, + ".removeItem": 45100, + "Ġanda": 45101, + "bnb": 45102, + "Ġpra": 45103, + "(transaction": 45104, + "Ġembarrassing": 45105, + "ĉBOOL": 45106, + ".contentView": 45107, + "Ġeventdata": 45108, + "atore": 45109, + "ĠprovidedIn": 45110, + "irma": 45111, + "Ġzona": 45112, + "_HW": 45113, + "æĻ": 45114, + "Ġstove": 45115, + "Ġcounterpart": 45116, + "_Product": 45117, + "_MANAGER": 45118, + "Ġinfring": 45119, + "ĠERA": 45120, + "_party": 45121, + "Ñij": 45122, + "Ġinici": 45123, + "_Request": 45124, + "Ġmiracle": 45125, + "ĠcancelButton": 45126, + "Spy": 45127, + "ató": 45128, + "Ġpolish": 45129, + "ĠNicole": 45130, + ".displayName": 45131, + "\\Requests": 45132, + "ĠuseHistory": 45133, + "RouterModule": 45134, + "Ġstared": 45135, + "IDER": 45136, + "ÑĥнкÑĨи": 45137, + "Ġnota": 45138, + "$arr": 45139, + "pecified": 45140, + "Ġtopp": 45141, + "_DRIVER": 45142, + "/ng": 45143, + "åł": 45144, + "_tm": 45145, + "%timeout": 45146, + "\"": 45588, + "tlement": 45589, + "$(\"": 45590, + "FromString": 45591, + "ĠBild": 45592, + "Ġconventions": 45593, + "_native": 45594, + "ĠInspector": 45595, + "ĠPist": 45596, + "ubar": 45597, + "Ġregs": 45598, + "ĠPilot": 45599, + "Thus": 45600, + ">'+": 45601, + "Ġcela": 45602, + ".news": 45603, + "(Product": 45604, + "Living": 45605, + "Russia": 45606, + "Ġfacet": 45607, + "etical": 45608, + "Ġ['$": 45609, + "/[": 45610, + "ĠDire": 45611, + "Ġgases": 45612, + "ĠINFORMATION": 45613, + "ĠEat": 45614, + "ĠForums": 45615, + "ĠCharacters": 45616, + "_met": 45617, + "Ġìĭľ": 45618, + "Ġkings": 45619, + "achie": 45620, + "ĠLambda": 45621, + "Ġtimers": 45622, + "ĠLighting": 45623, + "ĠCasey": 45624, + "addir": 45625, + "andex": 45626, + ".answer": 45627, + "ĠHip": 45628, + "ĠPrincip": 45629, + "StartDate": 45630, + "ĠãĢĮ": 45631, + "tres": 45632, + "Ġ&#": 45633, + ".MaxValue": 45634, + "ĠProblems": 45635, + "Ġlatex": 45636, + "OfClass": 45637, + "ĠLynn": 45638, + "//'": 45639, + "Ġvoyage": 45640, + "Ġshuttle": 45641, + "ĠRoller": 45642, + "ĠRuntimeError": 45643, + "uya": 45644, + "Dic": 45645, + "ĉbuilder": 45646, + "Ġbullying": 45647, + "Ġsimplest": 45648, + ".called": 45649, + "ĠLR": 45650, + "Ġmorality": 45651, + "Ġsturdy": 45652, + "tracking": 45653, + ".swagger": 45654, + "_BIND": 45655, + "ITOR": 45656, + "-urlencoded": 45657, + "ĠÑħ": 45658, + "ĠTrinity": 45659, + "Ġtraps": 45660, + "Ġ|-": 45661, + "ĠsetText": 45662, + "Ġbargain": 45663, + "Ġbrakes": 45664, + ".getCode": 45665, + "Ġmigrate": 45666, + "Ġribbon": 45667, + ")return": 45668, + "Ġcharger": 45669, + "acom": 45670, + "ADIUS": 45671, + "ĠAmbassador": 45672, + "-after": 45673, + "Ġanni": 45674, + "ĉspin": 45675, + "Concept": 45676, + "ĠHenderson": 45677, + "ĠHOST": 45678, + ".rank": 45679, + "ĠNortheast": 45680, + "Ġberlin": 45681, + "Ġrequis": 45682, + ".feed": 45683, + "ĠsourceMapping": 45684, + "ĠRencontre": 45685, + ".ajax": 45686, + "nestjs": 45687, + "Ġtrek": 45688, + "ĠNacional": 45689, + "Ġ&[": 45690, + "Ġpayable": 45691, + "ortex": 45692, + "Ġdept": 45693, + "fieldName": 45694, + "Ġcompletes": 45695, + "ĠRVA": 45696, + "Ġonions": 45697, + "alignment": 45698, + "Formats": 45699, + "Ġ'{$": 45700, + "HashSet": 45701, + "ĠBod": 45702, + ".InvariantCulture": 45703, + "Ġsettlements": 45704, + "Ġhydr": 45705, + ".updated": 45706, + "venth": 45707, + "(seconds": 45708, + "=\"/\"": 45709, + "Ġwebpage": 45710, + "(ĊĊ": 45711, + "Ġtir": 45712, + "Ġtoes": 45713, + "ĠBrick": 45714, + "Ġambition": 45715, + "Pot": 45716, + "=max": 45717, + "ETIME": 45718, + "Ġdepot": 45719, + "calls": 45720, + "ĠNorwegian": 45721, + "`:": 45722, + "Ġburger": 45723, + "Ġprofessors": 45724, + "ĠAllocate": 45725, + "-thirds": 45726, + "-chart": 45727, + "Ġford": 45728, + "*N": 45729, + ".kotlin": 45730, + "Ġpaperwork": 45731, + "ĠDEVICE": 45732, + "%@\",": 45733, + "respect": 45734, + "(mp": 45735, + "é«ĺ": 45736, + "-if": 45737, + "Ġcushion": 45738, + "obot": 45739, + "Ġparc": 45740, + "SPACE": 45741, + "ĠNetanyahu": 45742, + "Ġselfish": 45743, + "feat": 45744, + "Ġclientes": 45745, + "-tools": 45746, + "Ġporch": 45747, + "Ġjq": 45748, + ".verbose": 45749, + "Ġliberals": 45750, + "])ĊĊĊ": 45751, + "pies": 45752, + "NotBlank": 45753, + "(term": 45754, + "ÈĽi": 45755, + "_Params": 45756, + ".normalize": 45757, + "Bullet": 45758, + "ASIC": 45759, + "(hex": 45760, + "_cliente": 45761, + "+,": 45762, + "_DI": 45763, + "Ġforthcoming": 45764, + "}\")]Ċ": 45765, + "seo": 45766, + "Um": 45767, + ">Name": 45768, + "Ġcomfortably": 45769, + "irectional": 45770, + "WITH": 45771, + "/pr": 45772, + "ĠPoor": 45773, + "ĠVitamin": 45774, + "vic": 45775, + "GH": 45776, + "Ġpriorit": 45777, + "ĠNN": 45778, + "ĠClosed": 45779, + "¤í": 45780, + "ĠisOpen": 45781, + "\\Console": 45782, + "AndFeel": 45783, + ".SUCCESS": 45784, + "_OPERATION": 45785, + "polation": 45786, + "ĠTas": 45787, + "psz": 45788, + ">'.": 45789, + "CURRENT": 45790, + "Vendor": 45791, + "hosts": 45792, + "ĠErd": 45793, + ">tagger": 45794, + "ĠsourceMappingURL": 45795, + "Ġmarathon": 45796, + "_closed": 45797, + "Ġexemption": 45798, + "Ġrecognizes": 45799, + "ideshow": 45800, + "'$": 45801, + "('/');Ċ": 45802, + "mits": 45803, + "warz": 45804, + "ĠCherry": 45805, + "µ¬": 45806, + "nor": 45807, + "porte": 45808, + "Ġwl": 45809, + "_backup": 45810, + ".getBoolean": 45811, + ".getResource": 45812, + "Ġdefinitive": 45813, + ".EditText": 45814, + "ĠsÃŃ": 45815, + ".CONT": 45816, + "ĠPLAYER": 45817, + ".cards": 45818, + "ĠShore": 45819, + "('/')Ċ": 45820, + "cluir": 45821, + "WebDriver": 45822, + "(month": 45823, + "-release": 45824, + "Ġinspector": 45825, + "å£": 45826, + "ĠNF": 45827, + "_clip": 45828, + "åŃIJ": 45829, + "Ġinteracting": 45830, + ".tmp": 45831, + "Ġ'''ĊĊ": 45832, + "Ġdee": 45833, + "Ġfrost": 45834, + "\"]))Ċ": 45835, + "ĠPlaces": 45836, + "Throws": 45837, + "fork": 45838, + "/day": 45839, + "iPhone": 45840, + "ĠMIC": 45841, + "Ġfolding": 45842, + "Ġcrore": 45843, + "ĠChiefs": 45844, + "pherical": 45845, + "(price": 45846, + ".WriteString": 45847, + "Ġexiting": 45848, + "]',Ċ": 45849, + "ighting": 45850, + "Ingredient": 45851, + "(vertex": 45852, + "ĠscrollView": 45853, + "hf": 45854, + ":new": 45855, + "SEN": 45856, + "sector": 45857, + "Ġspins": 45858, + "ĠScheduler": 45859, + "otechn": 45860, + "semicolon": 45861, + "FontOfSize": 45862, + "ĠSpecifically": 45863, + "flamm": 45864, + ".ObjectId": 45865, + "Ġconta": 45866, + "_permissions": 45867, + "ĉFROM": 45868, + "ICODE": 45869, + "/kg": 45870, + "ĠHotels": 45871, + "-med": 45872, + "ĠDin": 45873, + "Ġnavy": 45874, + "getParam": 45875, + "Ġmend": 45876, + "Ġportrayed": 45877, + "ĠMetropolitan": 45878, + "Painter": 45879, + "Ġreferral": 45880, + "_good": 45881, + "Ġmarvel": 45882, + "osaic": 45883, + ">(&": 45884, + ".ur": 45885, + "Ġestos": 45886, + "William": 45887, + "Ġtimber": 45888, + "Ġquelques": 45889, + "ĠDocuments": 45890, + ".Xaml": 45891, + "Ġbatches": 45892, + "éģĵ": 45893, + "ĠReleased": 45894, + "Tail": 45895, + "COOKIE": 45896, + "heid": 45897, + "_station": 45898, + "ĠVia": 45899, + "Sale": 45900, + "ĠRepeat": 45901, + "Ġpromin": 45902, + "ĠZo": 45903, + "-forward": 45904, + "ĠIon": 45905, + "itary": 45906, + "Ġjus": 45907, + "-request": 45908, + "Ġproudly": 45909, + "ĠStreaming": 45910, + "(MouseEvent": 45911, + "ĠSprint": 45912, + "_rotation": 45913, + "Repositories": 45914, + "Ġtart": 45915, + "ĠÑģв": 45916, + "Ġmappings": 45917, + "èª": 45918, + "Cu": 45919, + "Cycle": 45920, + "Ġbun": 45921, + "ĉlua": 45922, + "ãĥī": 45923, + "Ġ((!": 45924, + "Ġcollectively": 45925, + "ĠCond": 45926, + "Ġwszyst": 45927, + "(lib": 45928, + "openhagen": 45929, + "_skip": 45930, + ".ColumnHeader": 45931, + "éĤ": 45932, + "perienced": 45933, + "ıè¿°": 45934, + "_props": 45935, + "Ġcontrace": 45936, + "Ġmatchup": 45937, + "abetic": 45938, + ".members": 45939, + "RECT": 45940, + "(dat": 45941, + "Ġsog": 45942, + "renom": 45943, + "_Method": 45944, + "Customers": 45945, + "fullname": 45946, + "ZN": 45947, + "retry": 45948, + "Ġkap": 45949, + "ĠNeu": 45950, + "èĬ": 45951, + "addChild": 45952, + "willReturn": 45953, + "_permalink": 45954, + "Ġenergetic": 45955, + "ĠWet": 45956, + "ĠMorr": 45957, + "Ġgcd": 45958, + "counts": 45959, + ",type": 45960, + "dig": 45961, + "(Login": 45962, + "Ġcracks": 45963, + "Ġbacterial": 45964, + "ĠMeat": 45965, + "ĠArmstrong": 45966, + "ĠBronze": 45967, + "Ġapproximate": 45968, + "_dirs": 45969, + "liga": 45970, + "ÅĤad": 45971, + "Ġkindness": 45972, + "Ġcontre": 45973, + "ĠEVERY": 45974, + "MET": 45975, + "Ġannouncements": 45976, + "gpio": 45977, + "ĠWaitForSeconds": 45978, + "ĠPhotoshop": 45979, + "Ġdiscontin": 45980, + "/dd": 45981, + "Ġtopology": 45982, + "anical": 45983, + ".interface": 45984, + "aucoup": 45985, + ".HashSet": 45986, + "ARIANT": 45987, + "(routes": 45988, + "ĠTeh": 45989, + "Ġhype": 45990, + "]\").": 45991, + "Ġslam": 45992, + "Ġbroth": 45993, + "-inter": 45994, + "ĠRid": 45995, + "-manager": 45996, + "Cancelar": 45997, + "ĠPagination": 45998, + "Ġsoundtrack": 45999, + "Ġposterior": 46000, + "Ġscrub": 46001, + "creating": 46002, + "-*": 46003, + "irteen": 46004, + ".dy": 46005, + ".symmetric": 46006, + "Ġ\"\".": 46007, + "===============": 46008, + "Ġchassis": 46009, + "ĠnumberOfRows": 46010, + "Developer": 46011, + "_bins": 46012, + "ĠOUR": 46013, + "rieb": 46014, + "Pros": 46015, + "ĠwiÄĻ": 46016, + "\"d": 46017, + "Ġasyncio": 46018, + "zeigen": 46019, + "_spi": 46020, + ".ALL": 46021, + "Ġscrews": 46022, + "Chinese": 46023, + "ĠapiKey": 46024, + "Ġunsuccessful": 46025, + "ĠSeahawks": 46026, + "ORG": 46027, + "ç«ł": 46028, + "Ġprofessionally": 46029, + "ĠCoupon": 46030, + "åŃĹ段": 46031, + "Convention": 46032, + "Ġpolym": 46033, + "æīĭ": 46034, + "Ġsalvation": 46035, + "Ġengineered": 46036, + "ĠWrest": 46037, + "ĠGCC": 46038, + "Ġwarmer": 46039, + "LayoutConstraint": 46040, + "Ġaggrav": 46041, + "Scripts": 46042, + "venture": 46043, + "Ġrefrigerator": 46044, + "Ġinnovations": 46045, + "ĠRunner": 46046, + "NIC": 46047, + "ĠRolling": 46048, + "ControlEvents": 46049, + "Ġloos": 46050, + "pac": 46051, + "ĉpanel": 46052, + "efe": 46053, + "ĠBuddha": 46054, + "--------------Ċ": 46055, + "åºĵ": 46056, + "(forKey": 46057, + "Ġlumin": 46058, + "Ġ(?": 46059, + "ĠAIDS": 46060, + ",user": 46061, + "imientos": 46062, + "contentType": 46063, + "antlr": 46064, + "é¦": 46065, + "ĠWelt": 46066, + "Production": 46067, + "might": 46068, + "ĠVII": 46069, + "\",(": 46070, + "Ġobserving": 46071, + "Ġdeliberate": 46072, + "(control": 46073, + "Ġwithd": 46074, + "Ġsemana": 46075, + "STACK": 46076, + "uchen": 46077, + "Nice": 46078, + "ĠDeutschland": 46079, + "ĠSpecifies": 46080, + "dma": 46081, + "izio": 46082, + "ĠFacts": 46083, + "_popup": 46084, + "ĠDirectors": 46085, + "{:": 46086, + "[R": 46087, + "ĠÑįлеменÑĤ": 46088, + "Ġplat": 46089, + "Ġdirecting": 46090, + "ä¸ī": 46091, + "ĠGilbert": 46092, + "âĢ¦.ĊĊ": 46093, + ".qml": 46094, + "Ġthereafter": 46095, + "Ġdisposition": 46096, + "draft": 46097, + "Ġsurgeon": 46098, + "ĠInsider": 46099, + "Blend": 46100, + "ĠTrev": 46101, + "trinsic": 46102, + "Topics": 46103, + "rieve": 46104, + "_FILENAME": 46105, + "Ġautres": 46106, + "Jose": 46107, + "Producer": 46108, + "erus": 46109, + "Ġpetit": 46110, + "ĠNEXT": 46111, + "ĠFilters": 46112, + "Ġreplicate": 46113, + "\"]).": 46114, + "Ġlenders": 46115, + "]\",Ċ": 46116, + ";charset": 46117, + "CppObject": 46118, + "Ġfloral": 46119, + "ĠTipo": 46120, + "Ġcircuits": 46121, + "easy": 46122, + "(&$": 46123, + "itta": 46124, + "eryl": 46125, + "_COMMON": 46126, + "'}}>Ċ": 46127, + "-backed": 46128, + "(variable": 46129, + "(Index": 46130, + "Ġvoir": 46131, + "_locations": 46132, + "++){": 46133, + "ĠLouisville": 46134, + "Ġgratitude": 46135, + ".Mockito": 46136, + "ĠPowers": 46137, + "ieurs": 46138, + "Ġgeographic": 46139, + "rale": 46140, + "Ġcra": 46141, + "ĠSpurs": 46142, + "iphertext": 46143, + "ACION": 46144, + "-common": 46145, + "Ġvictories": 46146, + "ĠFinals": 46147, + ".shuffle": 46148, + "-million": 46149, + "_PROC": 46150, + "assume": 46151, + "Ġils": 46152, + "DBC": 46153, + "BootTest": 46154, + "Ġlavor": 46155, + ".testing": 46156, + ".ast": 46157, + "\"]/": 46158, + "moid": 46159, + "Ġqualification": 46160, + "gesch": 46161, + "ĉput": 46162, + "Ġairports": 46163, + "JI": 46164, + "Teacher": 46165, + "_uniform": 46166, + "Ġnama": 46167, + "ĠBast": 46168, + "ertype": 46169, + "capture": 46170, + "getAll": 46171, + "ĠReynolds": 46172, + "ooled": 46173, + ".comments": 46174, + "Ġchin": 46175, + ").*": 46176, + "Ġили": 46177, + "tgl": 46178, + "udos": 46179, + "ĠdÃŃas": 46180, + "chai": 46181, + ".program": 46182, + "Ġpsz": 46183, + "ĉicon": 46184, + "phil": 46185, + "entral": 46186, + "_WRAP": 46187, + "ovi": 46188, + "Ġnostalg": 46189, + "Infinity": 46190, + "ĉyield": 46191, + "Ġvitamins": 46192, + "Quaternion": 46193, + "Sink": 46194, + "_goods": 46195, + "Ġ........": 46196, + "ĠWings": 46197, + "uridad": 46198, + "-story": 46199, + "\"])ĊĊ": 46200, + "idelity": 46201, + "TypeDef": 46202, + "Gtk": 46203, + "ĠíĮ": 46204, + "_Main": 46205, + "Ġchez": 46206, + "ĠRaven": 46207, + "Ġpayroll": 46208, + "Ġfreelance": 46209, + "LLU": 46210, + "ĠMend": 46211, + "eday": 46212, + "ApiModelProperty": 46213, + ".FormBorderStyle": 46214, + "Ġeconomist": 46215, + "stanbul": 46216, + "Ġfreight": 46217, + "-Agent": 46218, + "(meta": 46219, + "Ġsymmetry": 46220, + "Ġ'..": 46221, + ".Calendar": 46222, + "-aut": 46223, + "gf": 46224, + "pent": 46225, + "yclopedia": 46226, + "Ġwishing": 46227, + "ĊĊĊĊĊĊĊĊĊĊĊĊ": 46228, + "Ġgentleman": 46229, + "Ġê³": 46230, + "=#": 46231, + "Ġlectures": 46232, + "âĢľIn": 46233, + "Ġ!_": 46234, + "Ġhb": 46235, + "ĠVendor": 46236, + "Recently": 46237, + "_notes": 46238, + "æıIJ示": 46239, + "\"My": 46240, + "HeadersHeight": 46241, + "_SO": 46242, + "Ġunwilling": 46243, + "Ġsuperhero": 46244, + "gio": 46245, + "psy": 46246, + "ĠPeer": 46247, + "javax": 46248, + "&apos": 46249, + "ĠCrisis": 46250, + "ordinal": 46251, + "Memcpy": 46252, + "++++++++++++++++": 46253, + "-val": 46254, + "Ġworkbook": 46255, + "-ap": 46256, + "=k": 46257, + "Ġmetallic": 46258, + "_peer": 46259, + "ByPrimaryKey": 46260, + "_SD": 46261, + "uator": 46262, + "_SHADER": 46263, + ")Math": 46264, + ".Transform": 46265, + "Ġcows": 46266, + "Phi": 46267, + "ĠClem": 46268, + "(_(\"": 46269, + "ĠLud": 46270, + "-delay": 46271, + "ĠSecurities": 46272, + "ĠOrthodox": 46273, + "Symfony": 46274, + "(report": 46275, + "Ġentertain": 46276, + "EPS": 46277, + "izoph": 46278, + "exual": 46279, + "IRD": 46280, + "ä»İ": 46281, + "Ġlith": 46282, + "Ġsanitize": 46283, + "Ġfeminine": 46284, + "ISBN": 46285, + ".authentication": 46286, + "_pipeline": 46287, + "/constants": 46288, + "ĠCONF": 46289, + "Ġlucr": 46290, + "ricia": 46291, + ".ttf": 46292, + ".setContent": 46293, + "Ġstan": 46294, + "orean": 46295, + "ĠLloyd": 46296, + ".rawValue": 46297, + "Ġgor": 46298, + "ĠBrowns": 46299, + "Regression": 46300, + "Ġlowering": 46301, + "naissance": 46302, + "Ġblows": 46303, + "Ġamazed": 46304, + "Ġunrelated": 46305, + "Reviews": 46306, + "Ġruby": 46307, + "ĠModifier": 46308, + "Ġgiants": 46309, + ".thread": 46310, + "Ġcontainment": 46311, + "ĠStartCoroutine": 46312, + "umat": 46313, + "orelease": 46314, + "ĠRandy": 46315, + "@endif": 46316, + "Digest": 46317, + "Ġsuburban": 46318, + "=\");Ċ": 46319, + "Ġannonce": 46320, + ".variable": 46321, + "\\Foundation": 46322, + "Ġacre": 46323, + "Van": 46324, + "Ġtuples": 46325, + "dns": 46326, + "ĠStanding": 46327, + "_large": 46328, + "Ġboxing": 46329, + "SupportActionBar": 46330, + "ĠFortune": 46331, + "ĠRum": 46332, + "_multiple": 46333, + "archical": 46334, + "Ġfwrite": 46335, + "_quote": 46336, + "Ġfoolish": 46337, + "Ġcomprising": 46338, + "Ġоп": 46339, + "-selected": 46340, + "vf": 46341, + "maid": 46342, + "Nama": 46343, + "(datetime": 46344, + "Ġindirectly": 46345, + "gart": 46346, + "fixtures": 46347, + "chos": 46348, + "ĠHalo": 46349, + "Ġrecurring": 46350, + "-news": 46351, + "vil": 46352, + "ĠNursing": 46353, + "-produ": 46354, + "ĠHQ": 46355, + "\\HttpFoundation": 46356, + "enci": 46357, + "auen": 46358, + "Ġvy": 46359, + "ocracy": 46360, + "Ġdelegation": 46361, + "Ġasphalt": 46362, + "ĠsetSelected": 46363, + "kok": 46364, + "/rest": 46365, + "metics": 46366, + "ĠNSDate": 46367, + "Ġtravelled": 46368, + "Ġrecib": 46369, + "Ġmime": 46370, + "CLIENT": 46371, + "ĠGU": 46372, + "ĠHANDLE": 46373, + "/Q": 46374, + "[z": 46375, + "Ġbothered": 46376, + "ĠBBQ": 46377, + "ças": 46378, + "_examples": 46379, + "_FIN": 46380, + "ĠwhiteColor": 46381, + "Ġastronom": 46382, + "-dir": 46383, + "Ġsovereign": 46384, + "Ġbreeze": 46385, + "Ġinning": 46386, + "ĠEdmonton": 46387, + "gli": 46388, + ".blogspot": 46389, + "jsx": 46390, + "Ġversa": 46391, + "ĠMohammed": 46392, + ".Job": 46393, + "-toggler": 46394, + "ĠполÑĮзоваÑĤ": 46395, + "ardon": 46396, + "Ġnewborn": 46397, + "Ġnaval": 46398, + "noteq": 46399, + "Ġtumblr": 46400, + "Ġhentai": 46401, + "ĠTypically": 46402, + "Ġloot": 46403, + ".Sprite": 46404, + "Flight": 46405, + "Ġwavelength": 46406, + "-sk": 46407, + "ĠElle": 46408, + "_exports": 46409, + "ĠÑı": 46410, + "ĠIH": 46411, + "izophren": 46412, + "Ġíģ": 46413, + "_primary": 46414, + "Ġmois": 46415, + "ĠBN": 46416, + "Ġsystemic": 46417, + "Ġdiferentes": 46418, + "INCT": 46419, + "Ġ''ĊĊ": 46420, + "$q": 46421, + "WidgetItem": 46422, + "clide": 46423, + "$file": 46424, + "Lemma": 46425, + "/table": 46426, + "agrid": 46427, + "ĠMongoDB": 46428, + "inte": 46429, + "Ġapprent": 46430, + "ÂŃing": 46431, + ".Db": 46432, + "ĠÃĤ": 46433, + "hammer": 46434, + "='';Ċ": 46435, + "Ġbrokers": 46436, + "itlement": 46437, + "semblies": 46438, + "Ele": 46439, + "{x": 46440, + "Ġlastname": 46441, + "<-": 46442, + "Ġflatten": 46443, + "_band": 46444, + ".Root": 46445, + ".readFileSync": 46446, + "======": 46447, + ".rx": 46448, + "?čĊ": 46449, + "Ġmetaphor": 46450, + "Ti": 46451, + "conte": 46452, + "Ġdebit": 46453, + "Ġcontempt": 46454, + "CppType": 46455, + "æĶ¯": 46456, + "FormField": 46457, + "ratio": 46458, + "osopher": 46459, + "Ġimplant": 46460, + "PURE": 46461, + "Ġalta": 46462, + "_management": 46463, + "Ġrefine": 46464, + "ĠCheckBox": 46465, + "ĠCharl": 46466, + "-version": 46467, + "conditional": 46468, + "venues": 46469, + "Ġrifles": 46470, + "Ġoffspring": 46471, + "Ġmilling": 46472, + "Ġsharply": 46473, + "Ġunderwater": 46474, + "(origin": 46475, + "_Control": 46476, + "Ġ.$": 46477, + "Plugins": 46478, + "Ġdrying": 46479, + "Ġillustrates": 46480, + "-u": 46481, + "Ġvegetarian": 46482, + "npc": 46483, + "Heart": 46484, + ";',Ċ": 46485, + "comma": 46486, + "teenth": 46487, + "asan": 46488, + "/spec": 46489, + "_moves": 46490, + "-margin": 46491, + "Ġingen": 46492, + "³³³": 46493, + "Ġprojet": 46494, + "Ġotra": 46495, + "Ġbras": 46496, + ".utc": 46497, + "Ġslept": 46498, + "=sub": 46499, + "abilit": 46500, + "poster": 46501, + "Ġsdk": 46502, + "ouncill": 46503, + "Ġwd": 46504, + "PreparedStatement": 46505, + "ĠDrum": 46506, + "(attribute": 46507, + "ĠEthernet": 46508, + "ĉDB": 46509, + "California": 46510, + "cube": 46511, + "[I": 46512, + ".Created": 46513, + "ĠHM": 46514, + "Ġtracing": 46515, + "FormsModule": 46516, + "-you": 46517, + ".currency": 46518, + "feeding": 46519, + "Ġtbody": 46520, + "Li": 46521, + "accion": 46522, + "nas": 46523, + "Ġtrouver": 46524, + "NONE": 46525, + "\"},čĊ": 46526, + "Ġftp": 46527, + "WithIdentifier": 46528, + "polate": 46529, + "FileInfo": 46530, + "Ġpursued": 46531, + "ĠĠĠĠčĊĠĠĠĠčĊ": 46532, + "DESCRIPTION": 46533, + "}*/Ċ": 46534, + "FromNib": 46535, + "Ġdecorative": 46536, + "_SSL": 46537, + "(chat": 46538, + "TLS": 46539, + "Ġsurprises": 46540, + "alculate": 46541, + "ĠSplash": 46542, + "(Configuration": 46543, + "ĠSEM": 46544, + "imson": 46545, + "/library": 46546, + "": 46621, + "GED": 46622, + "faq": 46623, + "Ġoptionally": 46624, + "_Dis": 46625, + "ĠSuccessful": 46626, + "ĠCensus": 46627, + "Ġincarcer": 46628, + "_CARD": 46629, + "Ġaviation": 46630, + "ĠGym": 46631, + "Authority": 46632, + ".Bean": 46633, + "shader": 46634, + "NotExist": 46635, + "_TextChanged": 46636, + "ĠSTOP": 46637, + "(team": 46638, + "\"H": 46639, + "wg": 46640, + "Ġgrinder": 46641, + "Ġstripe": 46642, + "Ġpreservation": 46643, + "Claim": 46644, + "aversal": 46645, + "warehouse": 46646, + "targets": 46647, + "Trust": 46648, + "Ġallev": 46649, + ",www": 46650, + "ousse": 46651, + "_chan": 46652, + "_Size": 46653, + "systems": 46654, + "Ġobjection": 46655, + "ĠKane": 46656, + "Ġcorros": 46657, + "ĠDSL": 46658, + "Ġua": 46659, + "ĠMH": 46660, + "ĠStrategic": 46661, + "_tcp": 46662, + "Ġê°Ĵ": 46663, + "Ġborrowed": 46664, + "ĠAch": 46665, + "ĉcommand": 46666, + "Ġgps": 46667, + "leston": 46668, + "ichever": 46669, + "ĠUA": 46670, + "Ġassaulted": 46671, + "Ġspecializes": 46672, + "ĉsearch": 46673, + "Hotel": 46674, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ": 46675, + "ĠPitch": 46676, + "ĠÙģ": 46677, + "READY": 46678, + "Ġparental": 46679, + "Ġgéné": 46680, + "Ġdonnées": 46681, + "Ġdetain": 46682, + "TARGET": 46683, + "Ġprotagonist": 46684, + "ĠclearInterval": 46685, + "ĠIconButton": 46686, + "ĠGetAll": 46687, + "TypeInfo": 46688, + "EH": 46689, + "âĢľThey": 46690, + "Ġ{[": 46691, + "Ġgag": 46692, + "ĠÚ©": 46693, + "ĠDropdown": 46694, + ".free": 46695, + "gone": 46696, + "imens": 46697, + "Ġinstal": 46698, + "ĉcurl": 46699, + "_CAN": 46700, + "ĠBone": 46701, + "ï¼Ķ": 46702, + "onyms": 46703, + "-government": 46704, + ".bindingNavigator": 46705, + "ĠDans": 46706, + "ĠMcL": 46707, + "(en": 46708, + ">(_": 46709, + "ÐĴÑĭ": 46710, + ".*;čĊ": 46711, + "=j": 46712, + "-cor": 46713, + "Son": 46714, + ".ToolStripItem": 46715, + "-around": 46716, + "_XML": 46717, + "endDate": 46718, + "Ġslack": 46719, + "Ġrotated": 46720, + "Ġnoqa": 46721, + "Ġcottage": 46722, + "Ġencontrar": 46723, + "_skill": 46724, + "houette": 46725, + "!čĊ": 46726, + ".weather": 46727, + "Ġemphasized": 46728, + "家": 46729, + "ĠÑģпиÑģ": 46730, + "ĠCompiler": 46731, + "(android": 46732, + "ĠâĢº": 46733, + ".turn": 46734, + "Ġsuppression": 46735, + "_calls": 46736, + "Ġ*@": 46737, + "(strlen": 46738, + ".hex": 46739, + "ĠBills": 46740, + "ĠRSA": 46741, + "ÏĤ": 46742, + "ĠEscape": 46743, + "ementia": 46744, + "Ġfrontend": 46745, + "Ġpint": 46746, + "_exc": 46747, + "zzo": 46748, + "[],Ċ": 46749, + "Ġ\"','\"": 46750, + ".Environment": 46751, + "Ġaforementioned": 46752, + "Ġendure": 46753, + "prototype": 46754, + "therapy": 46755, + "ssi": 46756, + "Deg": 46757, + "_plugins": 46758, + ".userInfo": 46759, + "Printer": 46760, + "ĠPROGRAM": 46761, + "Ġruins": 46762, + "Ġempirical": 46763, + "Ġcrawl": 46764, + "ĠBoiler": 46765, + "-comment": 46766, + ".subplot": 46767, + "_et": 46768, + "Ġ'.',": 46769, + "minor": 46770, + "ĠCustoms": 46771, + "Ġyaw": 46772, + "underline": 46773, + "ĠComo": 46774, + "(('": 46775, + "(mean": 46776, + "Ġchaque": 46777, + "ĠBlocks": 46778, + ".rad": 46779, + "ilibrium": 46780, + "Ġwebdriver": 46781, + "Ġmelhor": 46782, + "dana": 46783, + "ĠAbuse": 46784, + "ĠSouthwest": 46785, + "ĠParen": 46786, + "PERTIES": 46787, + "ĉIL": 46788, + "Ġscream": 46789, + "vu": 46790, + "Ġincomes": 46791, + "Ġnim": 46792, + "Ġlace": 46793, + "Ġcompensate": 46794, + "Reverse": 46795, + "Dat": 46796, + "_attack": 46797, + "Ġnour": 46798, + "achen": 46799, + "cek": 46800, + "\"+": 47057, + "Ġtokenizer": 47058, + "Ġsovereignty": 47059, + "ĠPence": 47060, + "()\");Ċ": 47061, + "Ġpessoas": 47062, + ".Ge": 47063, + "ĠIncluded": 47064, + "Ġpagina": 47065, + "Ġexposing": 47066, + "еÑĪ": 47067, + "_SCRIPT": 47068, + "/$',": 47069, + "Thumbnail": 47070, + "×Ķ": 47071, + "webElementX": 47072, + "webElementXpaths": 47073, + "pressure": 47074, + "ĠCurry": 47075, + "_CP": 47076, + "OLUTION": 47077, + "ILES": 47078, + "protect": 47079, + "oola": 47080, + "Workspace": 47081, + "{};Ċ": 47082, + "ĠUNS": 47083, + "Ġsympathy": 47084, + "roker": 47085, + "Ġremodel": 47086, + "ĉcell": 47087, + "Ġatop": 47088, + ".FullName": 47089, + "Ġfaut": 47090, + "ĠEasily": 47091, + "_dynamic": 47092, + "Ġframed": 47093, + "Ġmotive": 47094, + "è·¯": 47095, + "sam": 47096, + "Ġmarca": 47097, + "ĠTextEditingController": 47098, + "Ġdestructor": 47099, + "cream": 47100, + "Ġrude": 47101, + "ĠBold": 47102, + "ĠIndigenous": 47103, + "Ġgens": 47104, + "Ġrelacion": 47105, + "(system": 47106, + "ĠUIFont": 47107, + "_charge": 47108, + "USTER": 47109, + "EV": 47110, + ".Namespace": 47111, + "Ġmerger": 47112, + "Ġcalloc": 47113, + "gang": 47114, + "BadRequest": 47115, + "Ġsper": 47116, + "-design": 47117, + "Ġâĩ": 47118, + "Chan": 47119, + "Ġorganism": 47120, + ",)": 47121, + "=id": 47122, + "_plane": 47123, + "ĠCases": 47124, + "elfast": 47125, + "ĠLegislature": 47126, + "ĠFaker": 47127, + "Ġinvoking": 47128, + "-utils": 47129, + "().'": 47130, + ".face": 47131, + "Ġguardian": 47132, + "myModal": 47133, + "Ġclipboard": 47134, + "ĠATM": 47135, + "Ġpeas": 47136, + "ĠSylv": 47137, + ".calc": 47138, + "ĠContacts": 47139, + "intValue": 47140, + "Ġmodifying": 47141, + "ĠBarb": 47142, + ".loss": 47143, + "_percentage": 47144, + "Asked": 47145, + "(lst": 47146, + "ategorical": 47147, + "-files": 47148, + "ĠRomania": 47149, + ".Ac": 47150, + "Ġhai": 47151, + "ĠFlying": 47152, + "Ġż": 47153, + "jp": 47154, + "ĠTrainer": 47155, + ".arc": 47156, + "_deg": 47157, + "Ġtraceback": 47158, + "OrFail": 47159, + "FLOW": 47160, + ".old": 47161, + "oya": 47162, + "gmt": 47163, + "isempty": 47164, + "Ġvaccination": 47165, + "Ġobsolete": 47166, + "recognized": 47167, + "Ġruined": 47168, + "ĠRein": 47169, + "ĠTracking": 47170, + "xfb": 47171, + "اÛĮ": 47172, + "Ġvære": 47173, + "Ġbryster": 47174, + "ĠITS": 47175, + "Ġdestiny": 47176, + "Ġswear": 47177, + "Ġredes": 47178, + "Ġclf": 47179, + "Ġflipped": 47180, + "ĉhead": 47181, + "Bluetooth": 47182, + "ĠOverrides": 47183, + ":Boolean": 47184, + "_=": 47185, + "_lr": 47186, + "spawn": 47187, + ":index": 47188, + "VALUES": 47189, + "iskey": 47190, + "?\");Ċ": 47191, + ".synthetic": 47192, + "ĠChecking": 47193, + "structures": 47194, + "iping": 47195, + "Ġvocals": 47196, + "-Up": 47197, + "ĠManufacturers": 47198, + "ĠMarriage": 47199, + "代çłģ": 47200, + "Ġgarner": 47201, + "_Client": 47202, + "parallel": 47203, + "RIEND": 47204, + "Ġvinegar": 47205, + "segue": 47206, + "JB": 47207, + "Ġcontacting": 47208, + "ĠCarroll": 47209, + "Ġoutreach": 47210, + "tensor": 47211, + "_variant": 47212, + "Ġtheat": 47213, + "licable": 47214, + "{|": 47215, + "tiny": 47216, + "_letter": 47217, + "Ġpencil": 47218, + "HeadersHeightSizeMode": 47219, + "iltro": 47220, + ".autoconfigure": 47221, + ".drag": 47222, + ".useState": 47223, + "ĠBMI": 47224, + "hint": 47225, + "Compile": 47226, + "*\\": 47227, + "enary": 47228, + "Ġlvl": 47229, + ".Cache": 47230, + "+=\"": 47231, + "_tv": 47232, + "ruitment": 47233, + "Ġfread": 47234, + "Articles": 47235, + "fila": 47236, + "Ġpackaged": 47237, + "âĺĨ": 47238, + "ATHER": 47239, + "ĠPlanned": 47240, + "scheme": 47241, + "Ġdiary": 47242, + "Ġoffenses": 47243, + "/F": 47560, + "ĠStick": 47561, + "Ġcerc": 47562, + "ĠSlee": 47563, + "ĉĉĠĠĠĠĠĠĠĠ": 47564, + "": 47739, + "ĉcol": 47740, + "VG": 47741, + "_boolean": 47742, + "recent": 47743, + "Ġ*)ĊĊ": 47744, + "ĠRainbow": 47745, + "ommen": 47746, + "Ġlur": 47747, + "Ġoppression": 47748, + "(\",\");Ċ": 47749, + "ĠFacility": 47750, + "DEFINED": 47751, + "Ġneon": 47752, + "Ġoffender": 47753, + "AFP": 47754, + "ĠCleaning": 47755, + "[]):": 47756, + "Ġundocumented": 47757, + ".Repositories": 47758, + "ĠGuitar": 47759, + "аÑģÑģив": 47760, + "Skills": 47761, + "Ġtestimon": 47762, + "ryptography": 47763, + "ĠAmber": 47764, + "ĠStalin": 47765, + "Ġlone": 47766, + "Ġapenas": 47767, + "Ġdieses": 47768, + "ĠArduino": 47769, + "转": 47770, + "==-": 47771, + "_Act": 47772, + "Ġcoded": 47773, + "âĸł": 47774, + "amburger": 47775, + "-links": 47776, + "Ġarmour": 47777, + ".High": 47778, + "getContent": 47779, + "stag": 47780, + "Ġheck": 47781, + "ĠìĹĨ": 47782, + "ĠMcConnell": 47783, + "ĠConcert": 47784, + "ĠAlloc": 47785, + "äre": 47786, + ".replaceAll": 47787, + "Ġpartitions": 47788, + "rott": 47789, + "ĠFle": 47790, + "_TREE": 47791, + "reasonable": 47792, + "ĠReporting": 47793, + "Ġbillionaire": 47794, + "scores": 47795, + "mins": 47796, + "-eye": 47797, + "MORE": 47798, + "abort": 47799, + "ĠSWT": 47800, + "Ġinverted": 47801, + "ĠTeachers": 47802, + ";n": 47803, + "Ġastro": 47804, + "нов": 47805, + "аниÑĨ": 47806, + "producto": 47807, + "countries": 47808, + "ĠOwen": 47809, + "Ġcontamination": 47810, + "Ġvibe": 47811, + "ĠElli": 47812, + ".script": 47813, + "ĠOlive": 47814, + "DMA": 47815, + "vier": 47816, + ":semicolon": 47817, + "-module": 47818, + "gressive": 47819, + "agu": 47820, + "_players": 47821, + "Ġresultados": 47822, + "started": 47823, + "scrollTop": 47824, + "=====": 47825, + "Ġweighing": 47826, + "Ġ[[[": 47827, + "zahl": 47828, + "(NS": 47829, + "ĠAssertion": 47830, + "league": 47831, + ".setTextColor": 47832, + "ĉMessage": 47833, + "Ġmoms": 47834, + "_AF": 47835, + ".wh": 47836, + "ALS": 47837, + "Ġautre": 47838, + "]ĊĊĊĊ": 47839, + ".opacity": 47840, + "ĠBuddhist": 47841, + "Ġdeaf": 47842, + "ĠOrganisation": 47843, + "(Global": 47844, + "ensch": 47845, + "Ġheadache": 47846, + "ĠAlien": 47847, + "_inode": 47848, + "ĠStark": 47849, + "Ġæī": 47850, + "-lnd": 47851, + "oref": 47852, + "_feat": 47853, + "Ġpedestrian": 47854, + "Ġnominal": 47855, + "Ġballoon": 47856, + "Ġsprites": 47857, + "PrototypeOf": 47858, + "ĠApost": 47859, + "ĠFEATURE": 47860, + "OH": 47861, + "Ġrecess": 47862, + "ĠDonna": 47863, + "consumer": 47864, + "$GLOBALS": 47865, + "ĠGIF": 47866, + "-frame": 47867, + "Inicio": 47868, + "Ġpassages": 47869, + "DateString": 47870, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 47871, + ".byte": 47872, + "Bug": 47873, + "initializer": 47874, + "pkt": 47875, + "odium": 47876, + "ĠDER": 47877, + ".ops": 47878, + "leri": 47879, + "Ġgifted": 47880, + "Ġdetach": 47881, + "terrain": 47882, + "elters": 47883, + "ãģı": 47884, + ".loader": 47885, + "ĠNGO": 47886, + "strncmp": 47887, + "Kh": 47888, + "(fontSize": 47889, + "rocket": 47890, + "Ġprecedent": 47891, + "ĠAurora": 47892, + "ĠExperiment": 47893, + "isphere": 47894, + "Encoded": 47895, + "ĠâĢĵĊĊ": 47896, + "Ġpyramid": 47897, + "ĠAnniversary": 47898, + "ofil": 47899, + "ëŁ": 47900, + "(plugin": 47901, + "Coeff": 47902, + "Ġcooperate": 47903, + "Ġpredominantly": 47904, + "ISM": 47905, + "Phrase": 47906, + "_DEFINE": 47907, + "Flip": 47908, + "AMILY": 47909, + "ĠMarkets": 47910, + "ĠStreamReader": 47911, + "ĠCombine": 47912, + "Ġmanuscript": 47913, + "zza": 47914, + ",tp": 47915, + "Whatever": 47916, + "ITICAL": 47917, + "ighbour": 47918, + "DataProvider": 47919, + ".Texture": 47920, + "privacy": 47921, + ".SDK": 47922, + "Ġrecharge": 47923, + "Ġcpp": 47924, + "ĠCFG": 47925, + "(holder": 47926, + "(py": 47927, + "mot": 47928, + "Ġsavoir": 47929, + "ĠRosa": 47930, + "ĠPCs": 47931, + "ĠíĻ": 47932, + ".heroku": 47933, + "Ġfren": 47934, + "ĠRiley": 47935, + "agate": 47936, + "Ġsond": 47937, + ".xlsx": 47938, + "Ġhacked": 47939, + "stad": 47940, + "Gi": 47941, + "Ġsanity": 47942, + "ĠSqlDataAdapter": 47943, + "...\",": 47944, + "ĠPussy": 47945, + "Ġ****************": 47946, + "Ġhassle": 47947, + "_PARENT": 47948, + "ĠUAE": 47949, + "Ġbeginners": 47950, + "(Client": 47951, + "Ġstatistically": 47952, + ".hour": 47953, + "edelta": 47954, + "Ġtraction": 47955, + "uelve": 47956, + "arat": 47957, + "Ġsauna": 47958, + "INVALID": 47959, + "Ġindictment": 47960, + "ALLE": 47961, + "Ġdissent": 47962, + "ĠTypography": 47963, + "Ġintentional": 47964, + "sit": 47965, + "ĠAnimals": 47966, + "Ġcountryside": 47967, + "Ġuart": 47968, + "}\\\"": 47969, + "Ġseamless": 47970, + "¾ç¤º": 47971, + "Ġautos": 47972, + "Ġ\"'\";Ċ": 47973, + "Flush": 47974, + "ANNOT": 47975, + "Ġalgebra": 47976, + "assoc": 47977, + "ĠWaters": 47978, + "Ġpreparations": 47979, + "ronym": 47980, + "[,]": 47981, + "Sans": 47982, + "Ġarmies": 47983, + "ipeg": 47984, + "Ġcreamy": 47985, + ".art": 47986, + "etre": 47987, + "ĠAnimated": 47988, + "Ġunpleasant": 47989, + "emean": 47990, + "great": 47991, + "iÄħ": 47992, + "ĠEarlier": 47993, + "Ġchic": 47994, + "Ġpreserving": 47995, + "(exec": 47996, + "ĠInvestigation": 47997, + "ĉGPIO": 47998, + "Ġrigorous": 47999, + "ijo": 48000, + "=num": 48001, + "ĠtoolStrip": 48002, + ")set": 48003, + "+\"&": 48004, + "ĠAcceler": 48005, + "Ġdevelopmental": 48006, + "isposable": 48007, + "Ġflawed": 48008, + "rene": 48009, + "Updating": 48010, + "Ġwatchdog": 48011, + "Ġdenominator": 48012, + "Ġsuburbs": 48013, + "Ġ...)": 48014, + "Ġconvictions": 48015, + "closure": 48016, + ".IP": 48017, + "Ġtranslates": 48018, + ".swt": 48019, + ".Trace": 48020, + "Ġmettre": 48021, + ".isEnabled": 48022, + "ĠEffective": 48023, + ".toInt": 48024, + "Ġenchant": 48025, + "Ġstunned": 48026, + "Ġpoi": 48027, + "/code": 48028, + "adm": 48029, + ".databinding": 48030, + "ĠLorem": 48031, + "________________________________________________________________": 48032, + "Ġledger": 48033, + "Ġcara": 48034, + "ĠGir": 48035, + "Ġwaits": 48036, + "Uno": 48037, + "Ġcwd": 48038, + "è¾ij": 48039, + "ĠTResult": 48040, + "Ġrejo": 48041, + "Ġemitted": 48042, + "ĠWestminster": 48043, + "ä¸Ģ个": 48044, + "nek": 48045, + "_Tis": 48046, + "Ġenact": 48047, + "ĉwith": 48048, + "orgia": 48049, + "Ġjue": 48050, + "Perform": 48051, + "SPATH": 48052, + ".topic": 48053, + "ĠDaten": 48054, + "ầ": 48055, + "Ġsitio": 48056, + "_MM": 48057, + "\"So": 48058, + "bial": 48059, + "Ġscoped": 48060, + "Requires": 48061, + "ĠTOTAL": 48062, + "ĠChancellor": 48063, + "(contents": 48064, + "Ġstealth": 48065, + "devices": 48066, + "-pass": 48067, + "ilih": 48068, + "ĠMalcolm": 48069, + "ĠDepot": 48070, + "Ġconfigur": 48071, + "aussian": 48072, + "_constraint": 48073, + "веÑĤ": 48074, + "GRA": 48075, + "ĠRates": 48076, + ".dataGridViewTextBoxColumn": 48077, + "ĠNobel": 48078, + "itics": 48079, + "Ġignorant": 48080, + "ĠReporter": 48081, + "ĠEbola": 48082, + "ĠShock": 48083, + "_relation": 48084, + "ĠNinja": 48085, + ")c": 48086, + "Ġticker": 48087, + ".isChecked": 48088, + "ĠSuppliers": 48089, + "ĠRapid": 48090, + "Levels": 48091, + "âĤ¬âĦ¢": 48092, + "ĉqueue": 48093, + "Ġchop": 48094, + "ĠUnix": 48095, + "reject": 48096, + "-calendar": 48097, + "(sort": 48098, + "ène": 48099, + "ercicio": 48100, + "Ġhect": 48101, + "CALLTYPE": 48102, + "roupon": 48103, + "Ġrentals": 48104, + "authors": 48105, + "{name": 48106, + "ĠFIFO": 48107, + "Ġlassen": 48108, + "ĠNous": 48109, + "Ġsnapped": 48110, + "Ġfertility": 48111, + "\"log": 48112, + "clicked": 48113, + "Ġplanting": 48114, + "Ġgb": 48115, + "/output": 48116, + "PEAT": 48117, + "Ġcategoria": 48118, + "Ġbach": 48119, + "Professor": 48120, + "inth": 48121, + "\"]čĊ": 48122, + "Recorder": 48123, + "serde": 48124, + "ĠTransmission": 48125, + "trad": 48126, + "Ġturbo": 48127, + "_VERTEX": 48128, + "\\Event": 48129, + "ilver": 48130, + "Ġbodily": 48131, + "ĠSources": 48132, + "Ġkillings": 48133, + ".xrTableCell": 48134, + "Ġfolded": 48135, + "/legal": 48136, + "uner": 48137, + "ĠRifle": 48138, + "ĠMIDI": 48139, + "_SelectedIndexChanged": 48140, + ".SizeType": 48141, + "ĠWebSocket": 48142, + "Ġseleccion": 48143, + "Sand": 48144, + "otros": 48145, + "Ġenvision": 48146, + "/etc": 48147, + "ĠMelissa": 48148, + "Spot": 48149, + "ное": 48150, + "_ARM": 48151, + "Attempt": 48152, + "ĠBI": 48153, + "ãģĶ": 48154, + "ĠDU": 48155, + "Ġbacklash": 48156, + "stride": 48157, + "/classes": 48158, + "ĠtextColor": 48159, + "_staff": 48160, + "oblin": 48161, + "agenta": 48162, + ".collections": 48163, + "illage": 48164, + "'čĊčĊ": 48165, + "flatten": 48166, + "_sales": 48167, + "_MASTER": 48168, + "TW": 48169, + "_da": 48170, + "Pitch": 48171, + "phies": 48172, + "Ġzombies": 48173, + "ĠVERY": 48174, + "ĠPharmacy": 48175, + "ĠprogressBar": 48176, + "Ġhashtag": 48177, + "Sidebar": 48178, + "@stop": 48179, + "(pc": 48180, + "олж": 48181, + "MAKE": 48182, + "ĠCoron": 48183, + "Ġkvinner": 48184, + "ĠMaid": 48185, + "bob": 48186, + ".titleLabel": 48187, + "Ġsuccesses": 48188, + "ĠDemocracy": 48189, + "ĠSurgery": 48190, + "Ġcougar": 48191, + "Ġcurso": 48192, + "Ġloro": 48193, + "istency": 48194, + "Senior": 48195, + "æk": 48196, + "ĠAAA": 48197, + "ĠBOOK": 48198, + "ко": 48199, + "WSTR": 48200, + "Ġ*/,Ċ": 48201, + "oyal": 48202, + ".vector": 48203, + "ĠSPEC": 48204, + "SSF": 48205, + "Ġcompuls": 48206, + "ĠAppeals": 48207, + "ĠWinston": 48208, + "ĠMockito": 48209, + "contrib": 48210, + ".available": 48211, + "entityManager": 48212, + "arias": 48213, + "_sale": 48214, + "_rs": 48215, + "Ġdecoding": 48216, + "Ġlocator": 48217, + "olith": 48218, + "Ġkol": 48219, + "Ġascii": 48220, + "ĠRut": 48221, + "/interface": 48222, + "ĉĉĉĉĉĉĠĠĠ": 48223, + "ĠNumer": 48224, + ".flip": 48225, + "-del": 48226, + "Ġbolster": 48227, + "onomic": 48228, + "Ġzm": 48229, + "LG": 48230, + "FindBy": 48231, + "Ġadaptive": 48232, + "loo": 48233, + "Ġvue": 48234, + "(reverse": 48235, + "_canvas": 48236, + ".roles": 48237, + "ificado": 48238, + "venient": 48239, + "\"As": 48240, + "ĠEntr": 48241, + "aligned": 48242, + "Ġbereits": 48243, + "///ĊĊ": 48244, + ".gwt": 48245, + ".employee": 48246, + "_cli": 48247, + "Ġanticipate": 48248, + "éĻIJ": 48249, + "Ġpik": 48250, + "Ġmushrooms": 48251, + "(tt": 48252, + "Ġoma": 48253, + "ĠSanchez": 48254, + "_google": 48255, + ".Valid": 48256, + "ĠFileName": 48257, + "ivative": 48258, + "ked": 48259, + "-war": 48260, + "Ġmaturity": 48261, + "ид": 48262, + "Ġminer": 48263, + "Reducers": 48264, + "ĠLatLng": 48265, + "_STD": 48266, + "Digits": 48267, + "Calc": 48268, + "-upload": 48269, + "Ġhandic": 48270, + "ีà¹Ī": 48271, + "egrated": 48272, + "ĠSTM": 48273, + "Clients": 48274, + "ĠTurbo": 48275, + "SYNC": 48276, + "Ġphotographers": 48277, + ".Out": 48278, + ".character": 48279, + "BUILD": 48280, + ".unlock": 48281, + "Ġarises": 48282, + "ĠCommands": 48283, + "(\"\");čĊ": 48284, + "_FORE": 48285, + ";',": 48286, + "+\"'": 48287, + ".Images": 48288, + "\"){": 48289, + "ĠMeyer": 48290, + "Ġnegatively": 48291, + "ĠDLL": 48292, + "Ġexe": 48293, + "Ġdeficiency": 48294, + "Ġwildly": 48295, + "-switch": 48296, + "construction": 48297, + "Ġexceptionally": 48298, + "ĠLiz": 48299, + "/java": 48300, + "Ġtheirs": 48301, + "ĠContemporary": 48302, + "lis": 48303, + ".fillRect": 48304, + "ĠNFC": 48305, + "Ġrehe": 48306, + "(numbers": 48307, + "Ġraster": 48308, + "Ġfiguring": 48309, + "Ġshowc": 48310, + "ĠJill": 48311, + "Ġarcade": 48312, + "ĠConstructs": 48313, + "mdl": 48314, + "('|": 48315, + "Ġidentifiers": 48316, + "Ġstellar": 48317, + "(Connection": 48318, + "Ġ\"{{": 48319, + "yor": 48320, + "(mysqli": 48321, + "Ġdove": 48322, + "OfBirth": 48323, + ".disconnect": 48324, + "_hi": 48325, + "Ġzwischen": 48326, + "ĠGrund": 48327, + "iros": 48328, + "_Array": 48329, + ".onclick": 48330, + "ansom": 48331, + "Answers": 48332, + "ĉremove": 48333, + "Fa": 48334, + "Ġhurry": 48335, + "-inf": 48336, + "ĠgetClass": 48337, + "ĠRegulation": 48338, + "ĠFLAGS": 48339, + "misc": 48340, + "Ken": 48341, + "_heading": 48342, + "GHz": 48343, + "-entry": 48344, + "Ġbiography": 48345, + "Sig": 48346, + "-mf": 48347, + "Watcher": 48348, + "âĢľA": 48349, + "}px": 48350, + "Ġspicy": 48351, + "_sq": 48352, + "Lost": 48353, + "(track": 48354, + "али": 48355, + "Descending": 48356, + "((": 48553, + "survey": 48554, + "Ġíĺ": 48555, + "...')Ċ": 48556, + "ĠDivider": 48557, + "osl": 48558, + "_CANCEL": 48559, + "_prepare": 48560, + "stin": 48561, + "ĠHeath": 48562, + ".PrimaryKey": 48563, + "ĠâĨIJ": 48564, + "ĠLocalDateTime": 48565, + "Ġcooperative": 48566, + "Learning": 48567, + ".enqueue": 48568, + "Ġgoog": 48569, + "ĠRegression": 48570, + "imates": 48571, + "Ġvoyeur": 48572, + "ĠDrink": 48573, + "plug": 48574, + "Ġlender": 48575, + "mana": 48576, + "Ġpersonnes": 48577, + "ypse": 48578, + "Ġunlink": 48579, + "ĠRavens": 48580, + "Ġhurd": 48581, + "Ġperiodically": 48582, + "ARGS": 48583, + "ĠGH": 48584, + "characters": 48585, + "...\"ĊĊ": 48586, + "-establish": 48587, + "Ġdn": 48588, + "(condition": 48589, + "ĠGravity": 48590, + "Ġestas": 48591, + "_focus": 48592, + "Creature": 48593, + "(site": 48594, + "Ġcarr": 48595, + "ĠRL": 48596, + "ĠRI": 48597, + "ĠMoto": 48598, + "ASF": 48599, + "ĠLuckily": 48600, + "ĉRoute": 48601, + "Ġentropy": 48602, + "(\",\"": 48603, + "Collect": 48604, + "(contact": 48605, + "ĠFlorence": 48606, + "Ġpremiums": 48607, + "Ġlifecycle": 48608, + "Ġbans": 48609, + "xef": 48610, + "WebKit": 48611, + "ĠFloating": 48612, + "Ġcosa": 48613, + "Specific": 48614, + "ĠLoans": 48615, + "bread": 48616, + "Ġdescriptors": 48617, + "Ġ{:.": 48618, + "THREAD": 48619, + "ĠTrent": 48620, + "Ġscop": 48621, + "QA": 48622, + "ĠAntar": 48623, + "pel": 48624, + "_difference": 48625, + "_changes": 48626, + "(...)": 48627, + "ĠRotation": 48628, + "ĠLGPL": 48629, + "ĠJUST": 48630, + "(Task": 48631, + "_subset": 48632, + "ĠTRANS": 48633, + "åĬĽ": 48634, + "ĠScout": 48635, + "-popup": 48636, + "Ġsmoked": 48637, + "_Class": 48638, + "Ġturnover": 48639, + "brakk": 48640, + "ĠRocky": 48641, + "tas": 48642, + ".RegularExpressions": 48643, + "ĠElliott": 48644, + "ĠSpinner": 48645, + "DUCTION": 48646, + "Ġlibre": 48647, + "Ġmolto": 48648, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 48649, + "ĠFTP": 48650, + "mpeg": 48651, + "(features": 48652, + "Ġbald": 48653, + "ĠVid": 48654, + "Ġshouting": 48655, + "Lint": 48656, + "Ġsockets": 48657, + "Ġprow": 48658, + "Ġnouvelle": 48659, + "iscard": 48660, + "ĠSponsor": 48661, + "Ġconsulta": 48662, + ")));": 48663, + "Indian": 48664, + "ĠRaspberry": 48665, + "Ġteammate": 48666, + "ĠJWT": 48667, + "ĠGhana": 48668, + "Ġcakes": 48669, + "primer": 48670, + "forma": 48671, + "ergarten": 48672, + "_Manager": 48673, + "Ġpreseason": 48674, + "GAME": 48675, + "|\"": 48676, + "ĠBrock": 48677, + "Ġoccupy": 48678, + "Ġdecorations": 48679, + "ánd": 48680, + "Ġcot": 48681, + "Ġparan": 48682, + "Disk": 48683, + "remain": 48684, + ">?": 48685, + "Strong": 48686, + "Ġfrance": 48687, + "ĠEra": 48688, + "-cr": 48689, + ".BufferedReader": 48690, + "ĠParadise": 48691, + "ĠVAT": 48692, + "ĠAnders": 48693, + "Ġlimb": 48694, + "ampoo": 48695, + "Ġimperative": 48696, + "UTILITY": 48697, + "ĠRecognition": 48698, + "Ġragazze": 48699, + "Ġpops": 48700, + "ypress": 48701, + "Ġembargo": 48702, + "//{Ċ": 48703, + "Ġsyll": 48704, + "PTR": 48705, + "åŃĺåľ¨": 48706, + "Ġdidnt": 48707, + "Mailer": 48708, + "Ġacademics": 48709, + "ĠFrauen": 48710, + "neider": 48711, + "-rel": 48712, + "Ġrainbow": 48713, + "(In": 48714, + "Ġsliced": 48715, + "=============Ċ": 48716, + "(send": 48717, + "NSMutableDictionary": 48718, + "vos": 48719, + "(package": 48720, + "Ġordinance": 48721, + "viewer": 48722, + "ĠSantos": 48723, + "-selling": 48724, + "Ġgov": 48725, + "ettle": 48726, + "Ġfounders": 48727, + "Ġwaking": 48728, + "slashes": 48729, + "-pound": 48730, + "recht": 48731, + "ات": 48732, + ".onClick": 48733, + "Ġnord": 48734, + "ständ": 48735, + "_when": 48736, + "UTERS": 48737, + "icc": 48738, + "Ġcapsule": 48739, + "ĠWid": 48740, + "Marc": 48741, + "ุ": 48742, + "rored": 48743, + "UGE": 48744, + "LOUD": 48745, + "ĠAudit": 48746, + "ipients": 48747, + "opian": 48748, + "ĠSue": 48749, + "Ġwurden": 48750, + ".Helpers": 48751, + "Ġfactions": 48752, + "[np": 48753, + "-than": 48754, + "Ġreco": 48755, + "Ġkas": 48756, + "Ġcmds": 48757, + "/network": 48758, + "xbf": 48759, + "getColor": 48760, + "Ġbiased": 48761, + "ĠLak": 48762, + "Datas": 48763, + "vents": 48764, + "Ġë²": 48765, + "_PS": 48766, + ".Validate": 48767, + "Invoker": 48768, + "Ġneuen": 48769, + "Ġjuvenile": 48770, + "VISION": 48771, + "Ġdevote": 48772, + "Ġlinha": 48773, + "Ġdiscounted": 48774, + "\\Config": 48775, + "Ġworthwhile": 48776, + "Ġskinny": 48777, + "ĠCourses": 48778, + "leys": 48779, + "ĠMortgage": 48780, + "Kevin": 48781, + "Ġannounces": 48782, + "])*": 48783, + "reservation": 48784, + "Ġæķ°": 48785, + "Ġprejudice": 48786, + "ĠStringComparison": 48787, + "Ġbeard": 48788, + "-win": 48789, + "ĠSão": 48790, + "ĉms": 48791, + "jal": 48792, + "ĠEarn": 48793, + "_ports": 48794, + "ĠNombre": 48795, + "_COR": 48796, + "ĠBUILD": 48797, + ".sound": 48798, + "Yellow": 48799, + "Ġlinebacker": 48800, + "Ġcharitable": 48801, + "jug": 48802, + "_NONNULL": 48803, + "ĠDental": 48804, + "\">${": 48805, + "ĉmatch": 48806, + "Russian": 48807, + "Ġversch": 48808, + "Ġpinned": 48809, + "Ġadopting": 48810, + "OptionsMenu": 48811, + "Pag": 48812, + "Ġpairing": 48813, + "Ġtread": 48814, + "ercises": 48815, + "ĠSpread": 48816, + ")i": 48817, + "ĠBAD": 48818, + "_tf": 48819, + "UIImageView": 48820, + "populate": 48821, + "bab": 48822, + "ĠÏĥ": 48823, + "[++": 48824, + "Ġopioid": 48825, + "Ġ##Ċ": 48826, + "dtype": 48827, + "ĠStarts": 48828, + "('/')": 48829, + "Ġpersonals": 48830, + "-market": 48831, + "Ġredundant": 48832, + "ĠEssential": 48833, + "Ġscrapy": 48834, + "Ġим": 48835, + "acl": 48836, + "Ġcrear": 48837, + "ĠBend": 48838, + "Ġrelieve": 48839, + "-room": 48840, + "wife": 48841, + "ĠvÃł": 48842, + "ĠQPoint": 48843, + "Ġquasi": 48844, + "ĠmethodName": 48845, + "\\xc": 48846, + "ĠPeru": 48847, + "/The": 48848, + ".orm": 48849, + "Ġviz": 48850, + "/pdf": 48851, + "Located": 48852, + "Ġconfrontation": 48853, + "ĠChampionships": 48854, + "Ġhypert": 48855, + "Ġdj": 48856, + "ĠUserInfo": 48857, + "ĠåĪĽå»º": 48858, + "\\xb": 48859, + "(sim": 48860, + "Ġ==Ċ": 48861, + "Ġstaging": 48862, + "Ġdrastically": 48863, + "åѦ": 48864, + "lords": 48865, + ".less": 48866, + "ведиÑĤе": 48867, + "ĠBucket": 48868, + "ĠMam": 48869, + ".term": 48870, + "_pi": 48871, + "czy": 48872, + ".pub": 48873, + "precio": 48874, + "ĠVirt": 48875, + "Ġroman": 48876, + "itat": 48877, + "Lex": 48878, + "_infos": 48879, + "Ä°": 48880, + ".other": 48881, + "VELO": 48882, + "Ġponder": 48883, + "Ġhanno": 48884, + "(Page": 48885, + "doi": 48886, + "Ġpolite": 48887, + "Ġprogrammer": 48888, + "Dies": 48889, + "$d": 48890, + "Ġreplication": 48891, + "addColumn": 48892, + "frican": 48893, + "Ġleng": 48894, + "beer": 48895, + "oit": 48896, + "Ġwasting": 48897, + "ylim": 48898, + "measure": 48899, + "Neg": 48900, + "Ġpartie": 48901, + ".console": 48902, + "ĠGuinea": 48903, + "TEL": 48904, + "_fact": 48905, + ".chunk": 48906, + "Ġlent": 48907, + "Ġaller": 48908, + "Ġà¤ķ": 48909, + "_idle": 48910, + "Ġadmissions": 48911, + "JSONArray": 48912, + "Ġvibration": 48913, + ".helpers": 48914, + "å¤ĸ": 48915, + "Ġhen": 48916, + "john": 48917, + "ĠìĥĿ": 48918, + "Ġjudgement": 48919, + "Ġgeen": 48920, + "terra": 48921, + "^{": 48922, + "ĠIz": 48923, + "Ġcâ": 48924, + "instances": 48925, + "Ġthreatens": 48926, + "Ġmüssen": 48927, + "KindOfClass": 48928, + "Ġstorytelling": 48929, + "_demo": 48930, + "rias": 48931, + "Privacy": 48932, + "hift": 48933, + "ĠYi": 48934, + "esor": 48935, + "íķł": 48936, + "ensitivity": 48937, + ".Writer": 48938, + "à¸Ĥ": 48939, + "District": 48940, + ".getJSONObject": 48941, + "Impro": 48942, + "(getResources": 48943, + "ĠSPELL": 48944, + "roduce": 48945, + "Ġslowed": 48946, + "Ġlinewidth": 48947, + "Ġhonesty": 48948, + "ĠCoord": 48949, + "ĠFork": 48950, + "ĠDispatchQueue": 48951, + "ĠCliff": 48952, + "ĠWiring": 48953, + "_TIMESTAMP": 48954, + "ollah": 48955, + "avoid": 48956, + "++];Ċ": 48957, + "semantic": 48958, + "-css": 48959, + "Ġveto": 48960, + "ĠMerr": 48961, + "Ġlegislators": 48962, + "CEEDED": 48963, + "Ġquestionnaire": 48964, + "ĠPills": 48965, + "Calculate": 48966, + "(core": 48967, + "'e": 48968, + "Ġdislike": 48969, + "ĠPreferences": 48970, + "_EXTERNAL": 48971, + "è°ĥ": 48972, + "Ġdodge": 48973, + "æľįåĬ¡": 48974, + ".names": 48975, + ".drawImage": 48976, + "_prom": 48977, + "uckland": 48978, + "Ġ<$>": 48979, + "ız": 48980, + "/site": 48981, + "项": 48982, + "rophe": 48983, + "Ġcompelled": 48984, + "Ġlaptops": 48985, + "Ġuni": 48986, + "CLOSE": 48987, + "Ġcasualties": 48988, + "ĠUniform": 48989, + "Terminal": 48990, + ".\",\"": 48991, + "DAT": 48992, + "(TreeNode": 48993, + "ĠGandhi": 48994, + "(stmt": 48995, + "AXB": 48996, + "*M": 48997, + "Ġumbrella": 48998, + "animal": 48999, + "Ġgrpc": 49000, + "Ġwhereby": 49001, + "Ġfloats": 49002, + "ĉarg": 49003, + "Ġdbg": 49004, + "Ġexceeding": 49005, + "EventType": 49006, + ".SaveChangesAsync": 49007, + "Ġ{{{": 49008, + "Ġowed": 49009, + "ahrenheit": 49010, + "Ġì§": 49011, + "Ġequipo": 49012, + "urai": 49013, + "Ġidol": 49014, + "]\")Ċ": 49015, + "_major": 49016, + "Ġentirety": 49017, + "ingerprint": 49018, + "ços": 49019, + "/account": 49020, + "ĉright": 49021, + "ursos": 49022, + "ĠEDT": 49023, + "_INSERT": 49024, + "Ġshining": 49025, + "Ġ<:": 49026, + "EdgeInsets": 49027, + "Ġcolonies": 49028, + ".IM": 49029, + "ĉĠĉ": 49030, + "ROAD": 49031, + "CCCC": 49032, + "placing": 49033, + "ĠgetActivity": 49034, + "emacs": 49035, + "'%(": 49036, + ".clicked": 49037, + "ĠThem": 49038, + "isia": 49039, + "Buscar": 49040, + ".rename": 49041, + "Ġoath": 49042, + "Ġafterward": 49043, + "ĠUFO": 49044, + "APS": 49045, + "ĠJacksonville": 49046, + ".some": 49047, + "Confirmed": 49048, + ".scan": 49049, + "igInteger": 49050, + "Decorator": 49051, + "shield": 49052, + "ressive": 49053, + ".did": 49054, + "请è¾ĵåħ¥": 49055, + "Ġshutter": 49056, + "Dam": 49057, + "Ġparenting": 49058, + "eyed": 49059, + "$item": 49060, + "-develop": 49061, + "Ġextracts": 49062, + "Ġdecentralized": 49063, + "ĠElsa": 49064, + "_spin": 49065, + "])+": 49066, + "-initial": 49067, + "Ġmultitude": 49068, + "Ġsensory": 49069, + "ĠMODEL": 49070, + "Ġsafeguard": 49071, + "ì¹": 49072, + "Ġhunters": 49073, + "ĠTiny": 49074, + "INO": 49075, + "decorate": 49076, + "ĠNoSuch": 49077, + "Ho": 49078, + "(Response": 49079, + "Ġruler": 49080, + "ĉshort": 49081, + "Ġcaster": 49082, + "ĠclientId": 49083, + "Ġpdb": 49084, + "ëıĦ": 49085, + "itic": 49086, + "ĠGameState": 49087, + "ĠnewItem": 49088, + ")ĊĊĊĊĊĊ": 49089, + "ouis": 49090, + "noc": 49091, + ".BLACK": 49092, + "_VECTOR": 49093, + "----------();": 49381, + ".getP": 49382, + "anye": 49383, + "Ġneuron": 49384, + "ifold": 49385, + "ĠKnown": 49386, + "Bitcoin": 49387, + "Anyway": 49388, + "ayette": 49389, + "Ġ'['": 49390, + "Ãłnh": 49391, + "mgr": 49392, + "Ġcorrelated": 49393, + "Ġnause": 49394, + "Ġmentality": 49395, + "hasMany": 49396, + "ĠFG": 49397, + "ampie": 49398, + "ITU": 49399, + "Fs": 49400, + ".Sp": 49401, + "_between": 49402, + "Dependencies": 49403, + "oug": 49404, + "Placeholder": 49405, + "=text": 49406, + "ĠManaging": 49407, + "ocalypse": 49408, + "åĮĹ": 49409, + "_mag": 49410, + "fld": 49411, + "âij": 49412, + "CAM": 49413, + "ĠHelpers": 49414, + "Ġdost": 49415, + "/out": 49416, + "Ġassassination": 49417, + ".getImage": 49418, + "ĠKenny": 49419, + ".')ĊĊ": 49420, + "){//": 49421, + "ĠRanger": 49422, + "Ġgek": 49423, + "Ġsincere": 49424, + "čĊ": 49627, + ".getResources": 49628, + "Ġlump": 49629, + "_consts": 49630, + "(ext": 49631, + "ĉdir": 49632, + "âĿ": 49633, + "ĠpaddingTop": 49634, + "Ġobsession": 49635, + "Ġbanning": 49636, + "ĠAppModule": 49637, + "Ġpartisan": 49638, + "Ġcatalogue": 49639, + "Ġminors": 49640, + "Ġpitches": 49641, + "weep": 49642, + "Ġundertake": 49643, + "Ġthemed": 49644, + "audit": 49645, + ".scrollTop": 49646, + "Ġrer": 49647, + "Ġsymptom": 49648, + "Ġopenings": 49649, + ".blocks": 49650, + "openid": 49651, + "Ġassh": 49652, + "-save": 49653, + "ĠPig": 49654, + "Ġregain": 49655, + "Ġinicial": 49656, + "/favicon": 49657, + "ĉexp": 49658, + "Ġspices": 49659, + "iska": 49660, + "claims": 49661, + "mak": 49662, + "definitions": 49663, + "Ġcorrespondent": 49664, + "ĠCannabis": 49665, + "__,Ċ": 49666, + "ĠLucky": 49667, + "ĠGaussian": 49668, + "ĠNearly": 49669, + "CAD": 49670, + "']]Ċ": 49671, + "Ġadequately": 49672, + "ĠTITLE": 49673, + "constitutional": 49674, + "-mm": 49675, + "_override": 49676, + "Ġblas": 49677, + ".readyState": 49678, + "Ġreminis": 49679, + "Ġreinforced": 49680, + "ĠCollabor": 49681, + "Ġdecorating": 49682, + "Ġbachelor": 49683, + "ERRUPT": 49684, + "Ġupright": 49685, + "ipation": 49686, + "ĠNoble": 49687, + "ĠvalueForKey": 49688, + "ĠsetLoading": 49689, + ".Ignore": 49690, + "åģ": 49691, + "Globals": 49692, + "ĠMent": 49693, + "ASSES": 49694, + "Ġlimbs": 49695, + "ĠHUD": 49696, + "inci": 49697, + ".iv": 49698, + "ĠQModelIndex": 49699, + "Fuse": 49700, + "Ġpedal": 49701, + "_FREQ": 49702, + "(verbose": 49703, + "Ġlongitud": 49704, + "ĠCharter": 49705, + "ê·¸": 49706, + "Ġbundles": 49707, + ".ignore": 49708, + "umbo": 49709, + "EMA": 49710, + ".......": 49711, + "sx": 49712, + ".Card": 49713, + "Ġheute": 49714, + "Ġsteer": 49715, + "jumlah": 49716, + "Ġ{_": 49717, + "_Checked": 49718, + "Ġfax": 49719, + "ĠGust": 49720, + "itchens": 49721, + "Ġ))ĊĊ": 49722, + "Ġremarkably": 49723, + "/XML": 49724, + "-remove": 49725, + "_bt": 49726, + "Ġincub": 49727, + ".package": 49728, + ".currentThread": 49729, + "ĠHighlander": 49730, + ".side": 49731, + "splash": 49732, + "Ġici": 49733, + "=D": 49734, + "Ġpuck": 49735, + "Ġballots": 49736, + "Ġhugely": 49737, + "coeff": 49738, + "ĠpData": 49739, + ".COLUMN": 49740, + "ĠHealing": 49741, + "Ġordin": 49742, + "!),": 49743, + "Ġ'',čĊ": 49744, + "(md": 49745, + "ĠSask": 49746, + "čĊ": 49768, + "Ġrá": 49769, + "Ġblunt": 49770, + "ĠImageIcon": 49771, + "ifik": 49772, + "RTC": 49773, + "Ġfibers": 49774, + "Ġtoile": 49775, + ".sent": 49776, + "ĠPyQt": 49777, + "$app": 49778, + "Ġmedio": 49779, + "Ġgranting": 49780, + "Ġtslint": 49781, + "ĠMö": 49782, + "(figsize": 49783, + "Ġhurricane": 49784, + "Ġlifes": 49785, + "ĠÃĦ": 49786, + "rocessing": 49787, + "_standard": 49788, + "-option": 49789, + "')))": 49790, + "Ġvacant": 49791, + "å·¥": 49792, + "ĠHollow": 49793, + "handleChange": 49794, + "Ġdivider": 49795, + "ĠEngineers": 49796, + "Ġsvens": 49797, + "Ġcompliant": 49798, + "tanggal": 49799, + "ĠCredits": 49800, + "ĠEmirates": 49801, + "RuleContext": 49802, + "Ġrealization": 49803, + "Ġdistracted": 49804, + "]+=": 49805, + "Ġaugment": 49806, + "ĠDw": 49807, + "otp": 49808, + "orrent": 49809, + "Editar": 49810, + ".stock": 49811, + "Study": 49812, + "pections": 49813, + "ĠGameManager": 49814, + "=cut": 49815, + "Ġflock": 49816, + "ĠRomans": 49817, + "them": 49818, + "-hop": 49819, + "Ġscreenshots": 49820, + "Ġ/*!Ċ": 49821, + "Ġconversions": 49822, + "Ġnormalization": 49823, + "(configuration": 49824, + "Ġaeros": 49825, + "_security": 49826, + "!'Ċ": 49827, + "Bonus": 49828, + "ĠDRIVER": 49829, + "ĉDate": 49830, + "tie": 49831, + "ĠWyoming": 49832, + "Stand": 49833, + "itre": 49834, + "Ġshoppers": 49835, + "Ġdisadvantage": 49836, + "Ġliking": 49837, + "ç¬ij": 49838, + "Ġunderstandable": 49839, + "SEE": 49840, + "Ġhoy": 49841, + "Ġninete": 49842, + "Ġconfer": 49843, + "Ġnowrap": 49844, + "ĠVern": 49845, + ",čĊčĊ": 49846, + "imestep": 49847, + "LayoutManager": 49848, + "à·": 49849, + "ĉwait": 49850, + "PLETED": 49851, + "Japan": 49852, + "Ġinduce": 49853, + "Ġå¯": 49854, + "озв": 49855, + "_ENDPOINT": 49856, + ".horizontal": 49857, + "Ġaccelerated": 49858, + "rimon": 49859, + "IVES": 49860, + "Transactions": 49861, + "Lean": 49862, + "ĠSOUR": 49863, + "whether": 49864, + "yg": 49865, + "Ġoid": 49866, + "ĠEntityManager": 49867, + "OUNTRY": 49868, + "Ġfila": 49869, + "OLUMNS": 49870, + "INUE": 49871, + "ĠAnchor": 49872, + "TRAN": 49873, + "woo": 49874, + "blockquote": 49875, + "ĠNurse": 49876, + "ĠCarp": 49877, + "Ġredeem": 49878, + ".try": 49879, + "ĠJP": 49880, + "Ġtimestamps": 49881, + "Ġ?>\"><": 49882, + "ĠREMOVE": 49883, + "ĠStarbucks": 49884, + "Really": 49885, + "Ġflooded": 49886, + ".Callback": 49887, + "DropDown": 49888, + "ipro": 49889, + "Ġtended": 49890, + "lte": 49891, + "Ġproportions": 49892, + "-te": 49893, + "ĠRena": 49894, + "licate": 49895, + "forces": 49896, + ".extra": 49897, + ".authenticate": 49898, + "вод": 49899, + "¡°": 49900, + "ĠforControlEvents": 49901, + "Ġsenha": 49902, + "Ġkein": 49903, + "Ġminist": 49904, + "ĠPreference": 49905, + "ĠTelegraph": 49906, + "Ñĥп": 49907, + "strpos": 49908, + "Ġillnesses": 49909, + "Ġpigs": 49910, + "ĠgetIntent": 49911, + "Sol": 49912, + "Ġ¡": 49913, + "(cpu": 49914, + "[prop": 49915, + "screens": 49916, + "');?>": 49917, + "ĠActs": 49918, + "Ġstrdup": 49919, + "Ġaverages": 49920, + "anal": 49921, + "ĠCasual": 49922, + "GroupBox": 49923, + "ĠHandbook": 49924, + "/comments": 49925, + "Ġnumbered": 49926, + "Ġbroadcasting": 49927, + "çĽij": 49928, + ".nativeElement": 49929, + ".mu": 49930, + "ĠupdatedAt": 49931, + "ĠDoesn": 49932, + ".AC": 49933, + ".coll": 49934, + "Ġrecorder": 49935, + "_sha": 49936, + "Bg": 49937, + "bil": 49938, + "Ġbolts": 49939, + "Ġç¬": 49940, + "Ġimposing": 49941, + "ĠInformationen": 49942, + "_flashdata": 49943, + "economic": 49944, + "Remark": 49945, + "ucas": 49946, + "ĠOfficers": 49947, + "ĠTER": 49948, + "Walk": 49949, + "Ġmercado": 49950, + "_generate": 49951, + "HY": 49952, + "Calling": 49953, + "snap": 49954, + "scriptId": 49955, + ".operation": 49956, + "ĠFlame": 49957, + "liness": 49958, + "Ġrented": 49959, + "_toggle": 49960, + "-changing": 49961, + "ĠTY": 49962, + "'util": 49963, + "EEP": 49964, + "Ġgraphql": 49965, + "ĠUni": 49966, + "Ġimpulse": 49967, + ".Basic": 49968, + "Ġenergies": 49969, + "MARY": 49970, + "ĠMarcel": 49971, + "Ġmortal": 49972, + "Ġfres": 49973, + "mens": 49974, + "motion": 49975, + "Ġsampled": 49976, + "âĢľThat": 49977, + "iday": 49978, + "quipment": 49979, + "getInt": 49980, + "ĠAbsolute": 49981, + ",'\"": 49982, + "uned": 49983, + ".share": 49984, + "Ġ})(": 49985, + "mmm": 49986, + "ĠRising": 49987, + "ä»»": 49988, + "Ġunemployed": 49989, + "xfa": 49990, + ".follow": 49991, + "ĉĉĉĉĠĠĠĠĠĠ": 49992, + "slt": 49993, + ".Phone": 49994, + "Ġknives": 49995, + "Ġeve": 49996, + "onClick": 49997, + "]))čĊ": 49998, + "ĠWitness": 49999, + "ĉNS": 50000, + "ĠEOS": 50001, + "ĠStefan": 50002, + "ĠPriest": 50003, + "âĢĶwhich": 50004, + "GetString": 50005, + ".By": 50006, + "Ġupstairs": 50007, + "Ġdetriment": 50008, + "broken": 50009, + "embro": 50010, + "Ġnicotine": 50011, + "ilion": 50012, + "Ġastonishing": 50013, + "_aff": 50014, + "ĠLesson": 50015, + "Ġaccidental": 50016, + "odor": 50017, + "Ġdecir": 50018, + "ĠnewName": 50019, + "+.": 50020, + "缸": 50021, + "igslist": 50022, + "ĠGithub": 50023, + "Ġsuccessive": 50024, + "racial": 50025, + "Ġenviron": 50026, + "éªĮè¯ģ": 50027, + "Ġredirected": 50028, + "TOTAL": 50029, + "Ġgrabbing": 50030, + "ĠLance": 50031, + "Ġforfe": 50032, + "_CB": 50033, + "å¾®": 50034, + "Elapsed": 50035, + "_way": 50036, + "(DialogInterface": 50037, + "_measure": 50038, + "xbb": 50039, + "Dog": 50040, + "Depart": 50041, + "-src": 50042, + "resolver": 50043, + "withstanding": 50044, + "_shell": 50045, + "ĠLastName": 50046, + "ĠAviation": 50047, + "Ġbeginner": 50048, + "(\"%.": 50049, + "(tool": 50050, + "Ġнов": 50051, + ":init": 50052, + "(API": 50053, + "ĠMorrison": 50054, + "vtColor": 50055, + "Ġstaple": 50056, + "/INFO": 50057, + "Ġsupernatural": 50058, + "Ġsteak": 50059, + "timeline": 50060, + "zzle": 50061, + "\"`ĊĊ": 50062, + "Secondary": 50063, + "ĠNepal": 50064, + ".StringUtils": 50065, + "Ġadam": 50066, + "Ġ(...": 50067, + "Ġsubstitution": 50068, + "Ġboarding": 50069, + "ĠKeyword": 50070, + "ĠAssault": 50071, + "dbcTemplate": 50072, + "ĠorderId": 50073, + "(engine": 50074, + ".assertThat": 50075, + "ĠVenus": 50076, + "Ġhomicide": 50077, + "ĠAval": 50078, + "Ġgutter": 50079, + "ĠSupported": 50080, + "/part": 50081, + "Ġacclaimed": 50082, + "Histor": 50083, + "Ġmeses": 50084, + "über": 50085, + "ĠRenew": 50086, + "Ġgras": 50087, + "ĠEk": 50088, + "Ġinfile": 50089, + "indy": 50090, + ".music": 50091, + ".Scroll": 50092, + "ĠAges": 50093, + "ĠNaruto": 50094, + "ĠGather": 50095, + "Ġconfirming": 50096, + "=(\"": 50097, + "Ġpitched": 50098, + "oley": 50099, + "France": 50100, + "+'\"": 50101, + "$total": 50102, + "Ġonde": 50103, + "Ġditch": 50104, + "_sigma": 50105, + "Ġcontinuity": 50106, + "reward": 50107, + "-load": 50108, + "Ġproceso": 50109, + "Locked": 50110, + "staw": 50111, + "Ġspinal": 50112, + "lazy": 50113, + "!==": 50114, + "jest": 50115, + "Ġdun": 50116, + "ĠRodgers": 50117, + "ĉgrid": 50118, + "Ġlogos": 50119, + "ĠBengal": 50120, + ".super": 50121, + "Provides": 50122, + "Ġnutrient": 50123, + ".Timestamp": 50124, + "IZATION": 50125, + "åĨĮ": 50126, + "Ġfats": 50127, + "ĠXxx": 50128, + "ctica": 50129, + "Targets": 50130, + "Ġcontours": 50131, + "Ġreordered": 50132, + ":Array": 50133, + "Ġtolerate": 50134, + "Vir": 50135, + "Ġterribly": 50136, + "Ġbricks": 50137, + "(&_": 50138, + "hb": 50139, + "Portal": 50140, + "ĠBread": 50141, + ".which": 50142, + "ÂŃt": 50143, + "asInstanceOf": 50144, + "Ġjobject": 50145, + "ĉlength": 50146, + "_MT": 50147, + ";\">čĊ": 50148, + "_EXIST": 50149, + "Ġmaternal": 50150, + "REL": 50151, + "Ġê²½ìļ°": 50152, + "hee": 50153, + "Ġlayouts": 50154, + "ĠLap": 50155, + "aisy": 50156, + "Ġstumbled": 50157, + "ĠUIG": 50158, + "ĠSco": 50159, + "Ġimpaired": 50160, + "RESSED": 50161, + "Ġabuses": 50162, + "VF": 50163, + "ARB": 50164, + ".NAME": 50165, + "rch": 50166, + "primir": 50167, + "_completed": 50168, + "Ġpenny": 50169, + "Chrome": 50170, + "(begin": 50171, + "ernen": 50172, + "-checkbox": 50173, + "PlainOldData": 50174, + "ĠLPC": 50175, + "rade": 50176, + "spir": 50177, + "Ġconceived": 50178, + "Tips": 50179, + "ĠIoT": 50180, + "ĠGan": 50181, + "èģĶ": 50182, + "Ġbiases": 50183, + "Ġconsultants": 50184, + "pled": 50185, + "_ht": 50186, + "associated": 50187, + "],ĊĊ": 50188, + "Ġdelightful": 50189, + "ĠÑĤек": 50190, + "Helvetica": 50191, + "(load": 50192, + "-expand": 50193, + "_WIDGET": 50194, + "toa": 50195, + "ĠAkt": 50196, + "Ġomn": 50197, + "Ġclauses": 50198, + "Intel": 50199, + "*/}Ċ": 50200, + "_registration": 50201, + "ĠoldValue": 50202, + "Ġrestoring": 50203, + "Ġunreal": 50204, + "OVER": 50205, + "ĉĊĉĊĉĊ": 50206, + "ATS": 50207, + "_probe": 50208, + "Ġdivisor": 50209, + ".updateDynamic": 50210, + "å¹³": 50211, + "Produces": 50212, + "stamp": 50213, + ".jboss": 50214, + "ĉtask": 50215, + "!(:": 50216, + "Ġpsychic": 50217, + "@class": 50218, + "Martin": 50219, + "ĠPassed": 50220, + "clarations": 50221, + "hel": 50222, + "аÑĩ": 50223, + "ĉcopy": 50224, + "-bin": 50225, + "zan": 50226, + "igram": 50227, + "াà¦": 50228, + "(sig": 50229, + "ĠCaval": 50230, + "_##": 50231, + "Ġ%=": 50232, + "outlined": 50233, + "ĠAcid": 50234, + "Ġunpredictable": 50235, + "-dashboard": 50236, + "HexString": 50237, + "+c": 50238, + ".Public": 50239, + "ẩ": 50240, + "Ġconveyor": 50241, + "ĠEB": 50242, + "Ġselects": 50243, + "Ġknocking": 50244, + "ĠCec": 50245, + "IBUTES": 50246, + "owaÄĩ": 50247, + "gatsby": 50248, + "*v": 50249, + "entropy": 50250, + "Ġdispatched": 50251, + "Ġcamel": 50252, + "ĠSaturn": 50253, + "Ġoverweight": 50254, + "(phone": 50255, + "parable": 50256, + "%B": 50257, + "_vectors": 50258, + "Ġbrewing": 50259, + "ĠTk": 50260, + "ĠDownloads": 50261, + "ĠSaved": 50262, + ".Price": 50263, + "Ġcurved": 50264, + "ĠParenthood": 50265, + "è¶": 50266, + ".pnl": 50267, + "pletely": 50268, + ".Day": 50269, + "Ġadvertisers": 50270, + "Ġejec": 50271, + "Ġprzed": 50272, + "ë¯": 50273, + "!';Ċ": 50274, + "ĠKush": 50275, + "ĠTAB": 50276, + "Ġquests": 50277, + "Ġcoincidence": 50278, + "ummies": 50279, + "ĠKashmir": 50280, + "ĠEthics": 50281, + "_growth": 50282, + "Ġaktiv": 50283, + "Ġgrouping": 50284, + "å¢ŀ": 50285, + "_truth": 50286, + "åIJ¬": 50287, + "todos": 50288, + "iset": 50289, + "TexCoord": 50290, + "ätt": 50291, + "ĠZur": 50292, + "roys": 50293, + "_MAGIC": 50294, + "Ġbrewery": 50295, + "(State": 50296, + "ĠSMALL": 50297, + "ĠPlants": 50298, + "itbart": 50299, + "eacher": 50300, + "ĠAdelaide": 50301, + "Lu": 50302, + "Ġfick": 50303, + "undles": 50304, + "_loaded": 50305, + "ие": 50306, + "Poll": 50307, + "ritic": 50308, + "ELY": 50309, + "Ġ+'": 50310, + "ĠProfession": 50311, + "Ġstamps": 50312, + "ĠSew": 50313, + "scrollView": 50314, + "Ġcommunist": 50315, + "/problems": 50316, + "}čĊčĊčĊčĊ": 50317, + ",o": 50318, + "Ġudp": 50319, + "Ġobese": 50320, + "approve": 50321, + "ancellation": 50322, + "_Game": 50323, + "ĠHashtable": 50324, + "adaptiveStyles": 50325, + "Ġpossesses": 50326, + ".matcher": 50327, + "functional": 50328, + "Mrs": 50329, + "ĉsave": 50330, + "ĠDbType": 50331, + "Ġken": 50332, + "getContext": 50333, + "Ġmans": 50334, + "(rel": 50335, + "ĠBrotherhood": 50336, + ")`Ċ": 50337, + "解": 50338, + ".Information": 50339, + "OutOfRangeException": 50340, + "ĠSek": 50341, + "Cas": 50342, + "Ġbloggers": 50343, + "Either": 50344, + "(\"\"\"": 50345, + "Ġpinch": 50346, + "Ġcoarse": 50347, + ")p": 50348, + "ĠPulse": 50349, + "Ġlearnt": 50350, + "Ġdentist": 50351, + "Ġonchange": 50352, + "Ġdirectives": 50353, + "(actions": 50354, + "nyder": 50355, + "ĠShir": 50356, + "Trait": 50357, + "_dep": 50358, + "ĠPET": 50359, + "ĠREP": 50360, + ".AppSettings": 50361, + "cuador": 50362, + "idenav": 50363, + "Ġenvi": 50364, + "Ġslammed": 50365, + "ĠShoot": 50366, + "ĠdateFormat": 50367, + ".joda": 50368, + "veys": 50369, + "Ġ).ĊĊ": 50370, + "Ġcareg": 50371, + "ĠParallel": 50372, + "_translation": 50373, + ".functions": 50374, + ".obs": 50375, + "RuntimeException": 50376, + "[]=": 50377, + "overview": 50378, + "ĠSchl": 50379, + "Ġnoisy": 50380, + "ĠOnPropertyChanged": 50381, + "Sending": 50382, + "Ġunfamiliar": 50383, + "Upon": 50384, + "ĠPrints": 50385, + ".typ": 50386, + "Ġfleeing": 50387, + "ĉmove": 50388, + "(Un": 50389, + "Ġqr": 50390, + "׾": 50391, + "_beta": 50392, + "Ġskies": 50393, + "ĉme": 50394, + "WND": 50395, + "Ġstickers": 50396, + "blas": 50397, + "Ġinserts": 50398, + "Ġverses": 50399, + "ĠDew": 50400, + "Ġtangible": 50401, + "Ġhecho": 50402, + "POL": 50403, + "Ġteardown": 50404, + "omnia": 50405, + "IBE": 50406, + ".cover": 50407, + "_strategy": 50408, + "^-": 50409, + "setPosition": 50410, + "uale": 50411, + "Signed": 50412, + "Ġiface": 50413, + "aseline": 50414, + ".setTime": 50415, + "ĠMineral": 50416, + "ĠFighting": 50417, + "skins": 50418, + "Ġdiscrimin": 50419, + "Ġdansk": 50420, + "ĠPrinceton": 50421, + "acist": 50422, + "Ġ());Ċ": 50423, + "tracks": 50424, + "imonial": 50425, + "adecimal": 50426, + "EPROM": 50427, + "uggle": 50428, + ".Notification": 50429, + "$mail": 50430, + "cantidad": 50431, + "ĠJung": 50432, + "Ġseekers": 50433, + "Ġplausible": 50434, + "tier": 50435, + "еж": 50436, + "Ġrapper": 50437, + "ĠMana": 50438, + "ĠHttpStatusCode": 50439, + "Ġburnt": 50440, + "loses": 50441, + "ĠFoto": 50442, + "ĠJsonObject": 50443, + "Instagram": 50444, + "Ġsyscall": 50445, + "Ġrealities": 50446, + "ĠMATLAB": 50447, + ":^{Ċ": 50448, + "TERM": 50449, + "ĠCbd": 50450, + "ĠParagraph": 50451, + "Ġtravés": 50452, + "Ġconstructing": 50453, + "Ġswal": 50454, + "Ġpige": 50455, + "LLLL": 50456, + "-existing": 50457, + "Gets": 50458, + "Ġmelted": 50459, + "Ġmitigate": 50460, + "Hen": 50461, + "Ġhm": 50462, + "imas": 50463, + "ĠAo": 50464, + "ĠPerez": 50465, + "ĠDAL": 50466, + "Ġëĭ¤": 50467, + "Ġdivis": 50468, + "StoryboardSegue": 50469, + "ĠModify": 50470, + "ĠÃľber": 50471, + "_OVERRIDE": 50472, + ".pem": 50473, + "untos": 50474, + "Ġespañ": 50475, + "Ġ{?": 50476, + "ĠPAY": 50477, + "_ipv": 50478, + "ĠFury": 50479, + "__.__": 50480, + "elow": 50481, + "-centered": 50482, + "checks": 50483, + "_Reg": 50484, + "-Javadoc": 50485, + "ĉload": 50486, + "ĠLikewise": 50487, + "اÙħ": 50488, + "UNE": 50489, + ".sem": 50490, + "xcb": 50491, + "ĠCave": 50492, + "_sleep": 50493, + "Ġsilently": 50494, + "ĠExtreme": 50495, + ".ToUpper": 50496, + "ĉCHECK": 50497, + "Ġcue": 50498, + "ĠQByteArray": 50499, + "Ġcorrupted": 50500, + "ĠDé": 50501, + "Ġimped": 50502, + "GetName": 50503, + "Ġinaccurate": 50504, + "Ġsober": 50505, + "ее": 50506, + "Ġbarcode": 50507, + "--){Ċ": 50508, + "inki": 50509, + "Ġép": 50510, + "Ġdri": 50511, + "ĠALT": 50512, + ">>>>>>>>": 50513, + "onta": 50514, + "[L": 50515, + "Ġinteres": 50516, + "verting": 50517, + "Ġdiagnostics": 50518, + "pdev": 50519, + "è©": 50520, + "ĠIntegrated": 50521, + ").'": 50522, + "_gc": 50523, + "$text": 50524, + ".games": 50525, + "ĠTerra": 50526, + "'Re": 50527, + ".transfer": 50528, + "_FIFO": 50529, + "getModel": 50530, + "Ġbland": 50531, + "ĠColeman": 50532, + "Ġprimes": 50533, + "ĠæĪ": 50534, + "Ġcrosses": 50535, + "nk": 50536, + "GING": 50537, + "Ġ'^": 50538, + "ĠBlob": 50539, + "Ġintercourse": 50540, + "ĠBlvd": 50541, + "Ġweighs": 50542, + "_regular": 50543, + "ĠPerth": 50544, + "Ġseparating": 50545, + "Ġbilled": 50546, + ".tabControl": 50547, + "Ġpuppet": 50548, + "Ġutilization": 50549, + "Ġâĸł": 50550, + "Ġsucces": 50551, + "Ġlamps": 50552, + "_proj": 50553, + "Eric": 50554, + "Ġrenovation": 50555, + "ĠFamilies": 50556, + "ĠBits": 50557, + "partials": 50558, + "-Men": 50559, + "solution": 50560, + "Ġdwarf": 50561, + ".INTEGER": 50562, + "ĠLOCK": 50563, + ".ct": 50564, + "Ġexcerpt": 50565, + "ĠPix": 50566, + "ĠFirstName": 50567, + "ANTED": 50568, + "ĠAdmir": 50569, + "-help": 50570, + "Prior": 50571, + "ĠAlign": 50572, + ".INSTANCE": 50573, + "LineEdit": 50574, + "('/:": 50575, + "Ġinet": 50576, + "odus": 50577, + ".pkl": 50578, + "ĠKY": 50579, + "upert": 50580, + "Ġnerves": 50581, + "_gradient": 50582, + "}','": 50583, + "_unref": 50584, + "Ġsaturated": 50585, + "ĠConnected": 50586, + "ĠFN": 50587, + "EXIT": 50588, + "Ġteleport": 50589, + "Ġavait": 50590, + "PageRoute": 50591, + "Ġdivorced": 50592, + "(lang": 50593, + "fst": 50594, + "ĠTyr": 50595, + "Ġmessenger": 50596, + "ifstream": 50597, + "XS": 50598, + "ĠBanking": 50599, + "Ġinfectious": 50600, + "ĠMons": 50601, + "_LOOP": 50602, + "Ġzurück": 50603, + "Ġobtener": 50604, + "/repos": 50605, + "Vel": 50606, + "acro": 50607, + "ĠuserRepository": 50608, + "styleType": 50609, + "ĠSRC": 50610, + "VMLINUX": 50611, + "recursive": 50612, + "/bar": 50613, + "_chip": 50614, + "ominated": 50615, + "ĠNit": 50616, + "âĢĶto": 50617, + "ĠBuddh": 50618, + "омеÑĢ": 50619, + "ĠMAG": 50620, + "ĠCHE": 50621, + "_den": 50622, + ".raises": 50623, + "_degree": 50624, + "Ġpumpkin": 50625, + "_templates": 50626, + "_MEDIA": 50627, + "ĠTimeline": 50628, + "Ġbots": 50629, + "ObjectType": 50630, + "Ġbuys": 50631, + ".posts": 50632, + "CAL": 50633, + "waiting": 50634, + "ĠDaniels": 50635, + "Ġdabei": 50636, + "ĠSigma": 50637, + "ilor": 50638, + "igel": 50639, + ",W": 50640, + "ADS": 50641, + "(panel": 50642, + "ì²´": 50643, + "itating": 50644, + ".palette": 50645, + "Ġmosquito": 50646, + "Ġtego": 50647, + "(parseInt": 50648, + "Ġdespués": 50649, + "promise": 50650, + "Ġwij": 50651, + "typescript": 50652, + "ĠTv": 50653, + "_IDENTIFIER": 50654, + ").ĊĊĊ": 50655, + "_flat": 50656, + "itsu": 50657, + "USR": 50658, + "experience": 50659, + "-fit": 50660, + "phinx": 50661, + "_thresh": 50662, + "Ġideally": 50663, + "ĠFreeman": 50664, + ",DB": 50665, + "_rw": 50666, + "çŃī": 50667, + "Ub": 50668, + "_statistics": 50669, + "=\"\"><": 50670, + "Ġchore": 50671, + "Ġyork": 50672, + "installed": 50673, + "Additionally": 50674, + "Ġpstmt": 50675, + "ylko": 50676, + "::Ċ": 50677, + "Forest": 50678, + "Ġheadset": 50679, + "Ġgallon": 50680, + "ÑĢем": 50681, + "Ġwithdrawn": 50682, + "ĠCandidate": 50683, + "Ġmelting": 50684, + "Ġfreezer": 50685, + "Ġhl": 50686, + "_HELP": 50687, + "mime": 50688, + "(/*": 50689, + "Ġthirst": 50690, + "$return": 50691, + "memberof": 50692, + "еб": 50693, + "ĠHttpServletRequest": 50694, + "(ob": 50695, + "_Result": 50696, + "Ġasserted": 50697, + "Ġfulfilling": 50698, + "Ġstretches": 50699, + "parated": 50700, + "-funded": 50701, + "ĠåĽ": 50702, + "ingles": 50703, + "_ca": 50704, + ".condition": 50705, + "ĠDisplays": 50706, + "Ġorang": 50707, + "ĠCRE": 50708, + "ĠglBind": 50709, + "ĠSelector": 50710, + "/type": 50711, + "ĠAlexa": 50712, + "chedules": 50713, + "ĠPeninsula": 50714, + "Ġparity": 50715, + "ĉdest": 50716, + "ĠDoors": 50717, + "čĊĉčĊ": 50718, + "_dimension": 50719, + "Ġaload": 50720, + ".StoredProcedure": 50721, + "(paren": 50722, + "ĠBurke": 50723, + "')]Ċ": 50724, + "-engine": 50725, + "Ġquir": 50726, + "ĠHybrid": 50727, + "ĠDoe": 50728, + "Ġoutlines": 50729, + "ĠTrends": 50730, + "_NV": 50731, + "periments": 50732, + "ĠHin": 50733, + "?',": 50734, + "ĉText": 50735, + "FUL": 50736, + "Ġsmells": 50737, + "Ġslick": 50738, + "Ġmiserable": 50739, + "ĠArrayAdapter": 50740, + "ĠparamString": 50741, + "Hom": 50742, + "_literals": 50743, + "usuarios": 50744, + "Ġprompting": 50745, + "_lazy": 50746, + "ĠActivation": 50747, + "_oc": 50748, + "Weak": 50749, + "Ġanecd": 50750, + "ĠUCLA": 50751, + "=re": 50752, + "issement": 50753, + "ĠEscorts": 50754, + "Excellent": 50755, + "ĠPause": 50756, + "Ġrepositories": 50757, + "TOR": 50758, + "ariate": 50759, + "_iso": 50760, + "updates": 50761, + "halb": 50762, + "udiante": 50763, + "ë¡Ŀ": 50764, + "Ġnaive": 50765, + "ĠPeg": 50766, + "ĠLounge": 50767, + "ARGIN": 50768, + "(bin": 50769, + "OnClickListener": 50770, + "ĠFAILED": 50771, + "Ġlite": 50772, + "Ġdzie": 50773, + "ĠLiteral": 50774, + "ivor": 50775, + "fcntl": 50776, + "Ġeats": 50777, + "Ġqed": 50778, + "Unlock": 50779, + "riding": 50780, + "undai": 50781, + "=M": 50782, + "ATTER": 50783, + "ConfigureAwait": 50784, + "icias": 50785, + "ustomed": 50786, + "Ġsuccession": 50787, + "endTime": 50788, + "ĠJupiter": 50789, + "Ġjudging": 50790, + "dration": 50791, + "_docs": 50792, + ".mo": 50793, + "Ġeducators": 50794, + "ĠVine": 50795, + "Cond": 50796, + "[out": 50797, + "qb": 50798, + "\\Validator": 50799, + "Ġmeanings": 50800, + "Ġpresently": 50801, + "Ġdividing": 50802, + "ottenham": 50803, + "ascular": 50804, + "Ġtrailers": 50805, + "ĠCLOSE": 50806, + "ами": 50807, + "âĢĻai": 50808, + "ĠGain": 50809, + "wor": 50810, + "Ġplanner": 50811, + "Ġdistributing": 50812, + "vat": 50813, + "months": 50814, + "xlabel": 50815, + "HF": 50816, + "Viol": 50817, + ".BASELINE": 50818, + "еÑĤÑģÑı": 50819, + "ĠRotate": 50820, + "Ġtxn": 50821, + ":bold": 50822, + "Ġbloss": 50823, + "Forgery": 50824, + "(embed": 50825, + "Ġjako": 50826, + "sprintf": 50827, + "their": 50828, + "Ġexhibits": 50829, + "-static": 50830, + "hecy": 50831, + "getActiveSheet": 50832, + ".clients": 50833, + "ãģį": 50834, + "_hide": 50835, + "[word": 50836, + "Cb": 50837, + "addItem": 50838, + "axe": 50839, + "_radio": 50840, + "alion": 50841, + "modifier": 50842, + "Ġsaturation": 50843, + "Ġdenom": 50844, + "_pixels": 50845, + "mess": 50846, + "(fl": 50847, + "atif": 50848, + "Ġsecs": 50849, + "Ġprostitution": 50850, + "Ġgrandchildren": 50851, + "Ġparadise": 50852, + "ĠFeld": 50853, + "_BINARY": 50854, + "itous": 50855, + "à¹Ħ": 50856, + "Ġflashing": 50857, + "-sided": 50858, + "Ġcontradiction": 50859, + "/*ĊĊ": 50860, + "ylabel": 50861, + "ĠTet": 50862, + "Ġadmire": 50863, + "reso": 50864, + "Ġletz": 50865, + "ĠSEARCH": 50866, + "slots": 50867, + "ĠRewards": 50868, + "ĠHog": 50869, + "ĠNSData": 50870, + "stash": 50871, + "Fall": 50872, + "ĠAmer": 50873, + "LinearLayout": 50874, + "/photos": 50875, + "Ġfeather": 50876, + "Ġ|čĊ": 50877, + "Downloads": 50878, + ".StartsWith": 50879, + "Ġ//#": 50880, + "ineTransform": 50881, + "Ġaffid": 50882, + "Vtbl": 50883, + "ĠRogue": 50884, + "scribed": 50885, + "Ġfauc": 50886, + "ĠMonroe": 50887, + "Ġdeclares": 50888, + "modern": 50889, + "reon": 50890, + "aybe": 50891, + "PASS": 50892, + "fers": 50893, + "_MULTI": 50894, + "ĠMathematics": 50895, + "Ġsudah": 50896, + "_ATTACH": 50897, + "ĠnumberWith": 50898, + "ĠSolomon": 50899, + "jin": 50900, + "ografia": 50901, + "öl": 50902, + "_design": 50903, + "culated": 50904, + "ĠLuna": 50905, + "iesz": 50906, + "Ġ=>'": 50907, + "Ġrevelations": 50908, + "Along": 50909, + "(ed": 50910, + "ĠFilename": 50911, + "Ġylabel": 50912, + "Secure": 50913, + "Ġbusca": 50914, + "agnosis": 50915, + "_RECE": 50916, + "Ġoverlapping": 50917, + "Extent": 50918, + "Ġanticipation": 50919, + "Checks": 50920, + "ĠALSO": 50921, + "orc": 50922, + "ilingual": 50923, + "itational": 50924, + "Ġadvancement": 50925, + "ouro": 50926, + "ĠPredicate": 50927, + "å¾Ĺ": 50928, + "eria": 50929, + "ĠPierce": 50930, + "orio": 50931, + "Ġmerits": 50932, + "Ġpeanut": 50933, + ".Package": 50934, + "ĠConduct": 50935, + "_SENSOR": 50936, + "Ġboiling": 50937, + "Ġintra": 50938, + "ĠIGN": 50939, + "ĠFur": 50940, + ".Refresh": 50941, + "ĠReach": 50942, + "_decoder": 50943, + ".Exp": 50944, + "ĠÑĤак": 50945, + "pill": 50946, + ",Q": 50947, + "ĠGrill": 50948, + "Ġpopping": 50949, + ".Ag": 50950, + "Ġproyecto": 50951, + "Ġmileage": 50952, + "Ġecological": 50953, + "]]);Ċ": 50954, + "ĠÂŃ": 50955, + "subplot": 50956, + "acad": 50957, + "ĠTrying": 50958, + "recipes": 50959, + "$criteria": 50960, + "ĠPersian": 50961, + "-bound": 50962, + "MASK": 50963, + "ĠGesture": 50964, + "Ġkk": 50965, + "ĠPVC": 50966, + "Ġprohibition": 50967, + "Ġcomando": 50968, + "ĠLOOK": 50969, + "Shopping": 50970, + "Ġdistortion": 50971, + "čĊ": 51017, + ".Dependency": 51018, + ".QueryString": 51019, + ".Owner": 51020, + "Ġexpiry": 51021, + "Thu": 51022, + "(Vec": 51023, + "Ġhazardous": 51024, + "Ġrpm": 51025, + "APON": 51026, + "ĠaddTarget": 51027, + "sville": 51028, + "pNet": 51029, + "ĠImg": 51030, + "ĠTIMER": 51031, + ".Animation": 51032, + "Ġbek": 51033, + "Ġassort": 51034, + "Ġlebih": 51035, + "ĠbodyParser": 51036, + "Ġvibrating": 51037, + "IDL": 51038, + "Ġbutterknife": 51039, + "inters": 51040, + "Ġpersuade": 51041, + "ĠLGBTQ": 51042, + "èĭ": 51043, + ".soft": 51044, + "Ġbeams": 51045, + "_sur": 51046, + ".Def": 51047, + "Ġlabs": 51048, + "ĉplt": 51049, + "Ġskins": 51050, + "Ġtransferring": 51051, + "Ġimaginary": 51052, + "_End": 51053, + ";background": 51054, + "Ġlaps": 51055, + "_COMMENT": 51056, + "(SDL": 51057, + "onds": 51058, + ".Record": 51059, + "ĠImplements": 51060, + "_ticks": 51061, + "()))ĊĊ": 51062, + "Ġarose": 51063, + "]?": 51064, + "ĠMp": 51065, + "ĠICommand": 51066, + "Ġsculpture": 51067, + "Ġcontracted": 51068, + "\">'": 51546, + "kinson": 51547, + "Ġкол": 51548, + "ognitive": 51549, + "_li": 51550, + "Ġimminent": 51551, + "Ġaffinity": 51552, + ".signal": 51553, + "Ġnotch": 51554, + "ĠSteelers": 51555, + "maxlength": 51556, + "KK": 51557, + "ĠEugene": 51558, + "_PWM": 51559, + "roi": 51560, + "ĠâĹı": 51561, + "ĠHamburg": 51562, + ".Must": 51563, + "Ġaxe": 51564, + "enef": 51565, + "Ġambitions": 51566, + "ĠSpecies": 51567, + "ĠStress": 51568, + "Ġawhile": 51569, + "ĠбÑĥд": 51570, + "Ġwithstand": 51571, + "ĠDecoder": 51572, + "_inventory": 51573, + "Ġ{ččĊ": 51574, + "Ġtgt": 51575, + "Ġrailroad": 51576, + "WASHINGTON": 51577, + "Ġnegotiated": 51578, + "NST": 51579, + "-phone": 51580, + ",U": 51581, + "Ġexercising": 51582, + "ụ": 51583, + "_PIXEL": 51584, + "avors": 51585, + "iterated": 51586, + "Ġvampire": 51587, + "adal": 51588, + "Ingrese": 51589, + "Ġung": 51590, + "jective": 51591, + ".cells": 51592, + "Ġnano": 51593, + "Ġmarkdown": 51594, + "_RULE": 51595, + "(events": 51596, + "Ġluggage": 51597, + "MESSAGE": 51598, + "igkeit": 51599, + "$count": 51600, + "AttributeName": 51601, + "IGINAL": 51602, + "_Ent": 51603, + "ĠBF": 51604, + "ĠCOMMENT": 51605, + "_ini": 51606, + "ĠEuropeans": 51607, + "ĠBelle": 51608, + "åij½": 51609, + ")['": 51610, + "åºĶ": 51611, + "ĠUseful": 51612, + ".reference": 51613, + "()\",": 51614, + "_grade": 51615, + "ĠKaw": 51616, + "Ġsentencing": 51617, + "Ġsocialism": 51618, + "monster": 51619, + "_LAYER": 51620, + "Ġdeepest": 51621, + "wk": 51622, + "ĠNoise": 51623, + "###ĊĊ": 51624, + "Ġpréc": 51625, + "otle": 51626, + "ÑĤе": 51627, + "auf": 51628, + "ibal": 51629, + "Ġconquer": 51630, + ">Email": 51631, + "Ġambulance": 51632, + "OAD": 51633, + "Ġ(\"%": 51634, + "ĠFI": 51635, + ".fixture": 51636, + "Ġterse": 51637, + "ĠĠĠĠĉĉĉĉ": 51638, + "Ġsanctuary": 51639, + "ugi": 51640, + "ĠComparator": 51641, + "Definitions": 51642, + "Ġasthma": 51643, + "Ġlact": 51644, + "Ġhardwood": 51645, + ".clock": 51646, + "Ġattracting": 51647, + "ĠMour": 51648, + "(distance": 51649, + "icits": 51650, + "Ġbonne": 51651, + "ĠACCESS": 51652, + ".DeserializeObject": 51653, + "ĠTyped": 51654, + "Ġjeu": 51655, + "ĠappId": 51656, + "ĠClara": 51657, + "ĠHF": 51658, + "ĠReich": 51659, + "ipples": 51660, + "//--------------------------------------------------------------------------------": 51661, + "_delivery": 51662, + "erialization": 51663, + "Ġplaintiffs": 51664, + "Scient": 51665, + "shopping": 51666, + "ĠDummy": 51667, + "ĠWald": 51668, + "GroupName": 51669, + "Ġinscription": 51670, + "elog": 51671, + "::::::::": 51672, + "_ld": 51673, + "BackPressed": 51674, + ".Raw": 51675, + "ĠOnTrigger": 51676, + "Ġmuseums": 51677, + "ĠBeen": 51678, + "ĠAdventures": 51679, + "Ġslate": 51680, + "Ġlett": 51681, + "Ġsund": 51682, + "ĠGin": 51683, + "ĠMechanical": 51684, + ".ship": 51685, + "AppComponent": 51686, + "Ġdestined": 51687, + "Ġdwelling": 51688, + "Profiler": 51689, + "Prepare": 51690, + "zeich": 51691, + "Ġsilicon": 51692, + "(has": 51693, + "Ġ#%": 51694, + "VIDEO": 51695, + "Ġcollaborate": 51696, + "Lin": 51697, + "Ġscopes": 51698, + "(className": 51699, + "(sd": 51700, + "andin": 51701, + ".ham": 51702, + "ServiceImpl": 51703, + "-described": 51704, + "Ġirony": 51705, + "stial": 51706, + "ĠHuawei": 51707, + "(repo": 51708, + "Ġunexpectedly": 51709, + "ĠKai": 51710, + ".install": 51711, + "\\xf": 51712, + "Ġexhibited": 51713, + "_TCP": 51714, + "ĠOx": 51715, + "_CHO": 51716, + "Ġprostituerte": 51717, + "Ġvä": 51718, + "Ġsito": 51719, + "Ġconstituents": 51720, + "ĠContinued": 51721, + "ĠSAVE": 51722, + "rss": 51723, + "/message": 51724, + "ubes": 51725, + "Ġmisdemean": 51726, + "Ġtaxation": 51727, + "Ġstoryline": 51728, + "hair": 51729, + "ĠFinds": 51730, + "SIG": 51731, + "verification": 51732, + "~=": 51733, + ".hp": 51734, + "Iterable": 51735, + "Ñĭе": 51736, + "atori": 51737, + "Ġctr": 51738, + "Rx": 51739, + "_);ĊĊ": 51740, + "dag": 51741, + ".pin": 51742, + "Ġpseud": 51743, + "Ġinvo": 51744, + "ÑģÑĤÑĢ": 51745, + "_pix": 51746, + "为空": 51747, + "Ġsworn": 51748, + "âĢĶor": 51749, + "_registry": 51750, + "Ġdisasters": 51751, + "ĠROI": 51752, + "ĠâĢķ": 51753, + "aktu": 51754, + "forest": 51755, + "beiten": 51756, + "âĢĶI": 51757, + "ueva": 51758, + "egt": 51759, + "Ġspikes": 51760, + "URES": 51761, + "ĠRecommended": 51762, + "Ġexploited": 51763, + "ĠFrederick": 51764, + "_COMPLETE": 51765, + "ĠDrugs": 51766, + "!!!!!!!!": 51767, + "ĠRiv": 51768, + "STOP": 51769, + "ROOM": 51770, + "ĠPASSWORD": 51771, + "Cookies": 51772, + ".El": 51773, + "á»Ń": 51774, + "ĠBert": 51775, + "Ġhashed": 51776, + "icester": 51777, + "Ġdecorator": 51778, + "ĠqueryString": 51779, + ":;Ċ": 51780, + "Ġ\"[\"": 51781, + "otope": 51782, + "-Americ": 51783, + "ĠMatthews": 51784, + "URAL": 51785, + "âĢľ,": 51786, + "Summer": 51787, + "fos": 51788, + "_CONTAINER": 51789, + "_ACK": 51790, + "Ġfiltr": 51791, + "_disp": 51792, + "_Re": 51793, + "Ġfacile": 51794, + "аÑĪ": 51795, + "ĠìķĬ": 51796, + "Ġeben": 51797, + "Ġsprink": 51798, + "ĠQuint": 51799, + ">V": 51800, + "Ġhistorians": 51801, + "ourmet": 51802, + "ĠMonitoring": 51803, + "ledger": 51804, + "cott": 51805, + "Ġware": 51806, + "GGLE": 51807, + "cars": 51808, + "ĠMEDIATEK": 51809, + "Ġvolupt": 51810, + "_View": 51811, + "HEL": 51812, + "(copy": 51813, + "(stats": 51814, + "Ġchromosome": 51815, + "ĠCurtis": 51816, + "-conf": 51817, + "(asset": 51818, + "Ġhvor": 51819, + "FileSystem": 51820, + "<>();čĊ": 51821, + "ocoder": 51822, + "ĠCannon": 51823, + ")x": 51824, + "ĠSmooth": 51825, + "ĠSAS": 51826, + "_ce": 51827, + "ĉprev": 51828, + "_movie": 51829, + "Ec": 51830, + "_wall": 51831, + ".ĊĊ": 52378, + "ogenesis": 52379, + "ĠOPTIONS": 52380, + "uptools": 52381, + "Ġmilitant": 52382, + "Ġexited": 52383, + "igar": 52384, + "ĠCOMM": 52385, + "ĠDisposable": 52386, + "aycast": 52387, + "Ġrowspan": 52388, + "Ġsynthes": 52389, + "Ġsondern": 52390, + "ĠĊ": 55869, + "ĠJacket": 55870, + "RATION": 55871, + ".getSelectedItem": 55872, + "-init": 55873, + "ĠRegisters": 55874, + "_sep": 55875, + "ĠToolkit": 55876, + ".dict": 55877, + "Ġxlabel": 55878, + "\\Table": 55879, + "toc": 55880, + "_combo": 55881, + "ĠCompact": 55882, + "Ġrugged": 55883, + "à¥ĩà¤": 55884, + "-management": 55885, + "')}}\">Ċ": 55886, + "ĠStamp": 55887, + "ıl": 55888, + "rox": 55889, + "Ġlandscapes": 55890, + "_NOTE": 55891, + "monary": 55892, + "cab": 55893, + "Ġmoet": 55894, + "xaf": 55895, + "rcode": 55896, + "-cli": 55897, + "_gate": 55898, + "[event": 55899, + "SPORT": 55900, + "gia": 55901, + "ĠSUPER": 55902, + "/Login": 55903, + "_shutdown": 55904, + "interrupt": 55905, + "Ġpretending": 55906, + "Ġfringe": 55907, + "ĠReds": 55908, + "ĠCUDA": 55909, + "ĠUNIX": 55910, + "vit": 55911, + "Ġbrig": 55912, + "drv": 55913, + "ĠConnector": 55914, + "Therefore": 55915, + "Ġlia": 55916, + "Detection": 55917, + "_actor": 55918, + "Ġtempfile": 55919, + "Ġeccentric": 55920, + "-role": 55921, + "Ġpadx": 55922, + "dent": 55923, + "Western": 55924, + "Ġê·¸": 55925, + "ĠApplicationRecord": 55926, + "Ġcampaigning": 55927, + "_runner": 55928, + "ĠCivic": 55929, + "aleigh": 55930, + "Ġdirekt": 55931, + ".sul": 55932, + "ĠĠĉĉĉ": 55933, + "anten": 55934, + "Ġissuer": 55935, + "Ġassertions": 55936, + "(orig": 55937, + "ATIO": 55938, + "Ġleaned": 55939, + "äs": 55940, + ".DTO": 55941, + "explode": 55942, + ".Observable": 55943, + "Ġstaggering": 55944, + "Ġkidnapped": 55945, + "Ġprogrammers": 55946, + "ĠInnov": 55947, + ".parameter": 55948, + "Ġdomination": 55949, + "Ġskeptic": 55950, + "Ġæĺ¯": 55951, + "Ġavoids": 55952, + ".Verify": 55953, + "ubby": 55954, + "ĠASN": 55955, + "Ġformato": 55956, + "ĠBeatles": 55957, + "_brand": 55958, + "Ġinset": 55959, + "youtu": 55960, + "Ġtoc": 55961, + "-final": 55962, + "Showing": 55963, + "ĠDoub": 55964, + "ĠMesa": 55965, + "Adj": 55966, + "_medium": 55967, + "Creates": 55968, + "(endpoint": 55969, + "ĉUP": 55970, + "bbie": 55971, + "Ġstalk": 55972, + ".databind": 55973, + ".Scan": 55974, + "agents": 55975, + "$,": 55976, + "individual": 55977, + "+)/": 55978, + "ĉvm": 55979, + "(notification": 55980, + "Ġinex": 55981, + "ĠClassification": 55982, + "reno": 55983, + "Ġolig": 55984, + "-rated": 55985, + "Ġformulation": 55986, + "',{": 55987, + "Ġacept": 55988, + "_unpack": 55989, + "_CA": 55990, + ".Pow": 55991, + "ĉim": 55992, + "Ġaluminium": 55993, + "ANO": 55994, + "Ġxn": 55995, + "Ġcómo": 55996, + "ĠIngredient": 55997, + "Ġseizures": 55998, + "åħ±": 55999, + "ificador": 56000, + "Ġsiguiente": 56001, + "ĠInfragistics": 56002, + "Ġduplicated": 56003, + "ĠDee": 56004, + "Ġnø": 56005, + "ĠACCEPT": 56006, + "(crate": 56007, + "иÑĤелÑĮ": 56008, + "-less": 56009, + "Ġinfinity": 56010, + "Analyzer": 56011, + "-Day": 56012, + "ritt": 56013, + "(cin": 56014, + "ĠGy": 56015, + "Ġmultiplied": 56016, + "uchi": 56017, + "ĠBaldwin": 56018, + "/ip": 56019, + "Ġshortcuts": 56020, + ".ADD": 56021, + "Ġvigor": 56022, + "_instruction": 56023, + "(;": 56024, + "_eta": 56025, + "è¿ŀ": 56026, + "utorials": 56027, + "Ġboosting": 56028, + "bv": 56029, + "Ġacknowledges": 56030, + "Listening": 56031, + "FAQ": 56032, + ";b": 56033, + "((-": 56034, + "Ġarchitects": 56035, + "Ġzwe": 56036, + "Ġpuls": 56037, + "ĠgetCount": 56038, + "verbs": 56039, + "ãĢľ": 56040, + "(Collection": 56041, + "kre": 56042, + "Ġjurisdictions": 56043, + "_bridge": 56044, + "ĠCrack": 56045, + "ĠDifficulty": 56046, + "KO": 56047, + "Reservation": 56048, + "_requires": 56049, + "Tour": 56050, + "ãģĹãģŁ": 56051, + ".setCurrent": 56052, + "Ġky": 56053, + "ĠAlbany": 56054, + "Ġè§": 56055, + "ller": 56056, + "agna": 56057, + "workers": 56058, + ".blank": 56059, + "ĠPrayer": 56060, + "MIC": 56061, + "Ġresilience": 56062, + "TeX": 56063, + "ĠLanguages": 56064, + "study": 56065, + "ĉcurr": 56066, + "Ġenzymes": 56067, + "Slug": 56068, + "ĠíĮĮ": 56069, + "stral": 56070, + "Ġtumors": 56071, + "Ġsegunda": 56072, + "='{": 56073, + "instruction": 56074, + "ĠLisp": 56075, + "/info": 56076, + "Ġ\"{$": 56077, + ",:),": 56078, + "Ġgv": 56079, + "(ErrorMessage": 56080, + "Ġ'=": 56081, + "}-${": 56082, + ".Documents": 56083, + "\"Well": 56084, + "Ġreminiscent": 56085, + "Ġgaz": 56086, + "iropr": 56087, + "ehr": 56088, + "Ġsuppressed": 56089, + "ersh": 56090, + ".scrollTo": 56091, + "Ġcadena": 56092, + "ĠgameState": 56093, + "ÃŃm": 56094, + "(conv": 56095, + "ĠTomorrow": 56096, + "ĠCCT": 56097, + "Mongo": 56098, + "ulg": 56099, + ".Camera": 56100, + ".handlers": 56101, + "mph": 56102, + "Ġstk": 56103, + "Ġgenetics": 56104, + "ACING": 56105, + "Trivia": 56106, + "ĠBam": 56107, + "(marker": 56108, + ".Stretch": 56109, + "ĠSunni": 56110, + "ĠBetty": 56111, + ".tolist": 56112, + "unlikely": 56113, + ".Rectangle": 56114, + "obsolete": 56115, + "ILON": 56116, + "innerText": 56117, + "embourg": 56118, + "aN": 56119, + "ĠVehicles": 56120, + "unlock": 56121, + ":utf": 56122, + "nob": 56123, + "ĠSeeing": 56124, + "ĠNEVER": 56125, + "Ġtls": 56126, + "Ġfilles": 56127, + "Ġbenefited": 56128, + "ĠClint": 56129, + "*/),": 56130, + ".fold": 56131, + "Ġposible": 56132, + "ADED": 56133, + "thouse": 56134, + ".DAL": 56135, + "ĠOdd": 56136, + "rokes": 56137, + "ĠSunny": 56138, + "ĠPartialEq": 56139, + "_Buffer": 56140, + "ĠLevi": 56141, + "longrightarrow": 56142, + "eldon": 56143, + "gages": 56144, + "_warn": 56145, + ".CreateTable": 56146, + "ĠDip": 56147, + "_questions": 56148, + ".logic": 56149, + "Ġ#\"": 56150, + "={()=>": 56151, + "Ġtep": 56152, + "Ġjuicy": 56153, + "ìĤ¬": 56154, + "enko": 56155, + "ialect": 56156, + "Ùī": 56157, + "Ġonboard": 56158, + "Ġæı": 56159, + "ĉrt": 56160, + "_UTF": 56161, + "ĠQAction": 56162, + "âĢŀ": 56163, + "(Component": 56164, + "(audio": 56165, + ".hit": 56166, + "gte": 56167, + "Ġprogrammed": 56168, + "stateParams": 56169, + "Ġpolyester": 56170, + "fires": 56171, + "byss": 56172, + "]=(": 56173, + "_quality": 56174, + "OfDay": 56175, + "ĠFairy": 56176, + "Ġyelled": 56177, + "opl": 56178, + "(userName": 56179, + "ĠDifference": 56180, + "Ġevaluations": 56181, + "iffany": 56182, + "Ġcyclists": 56183, + "Ġcidade": 56184, + "Ġtextbook": 56185, + "Ġprofiling": 56186, + "__),": 56187, + "dea": 56188, + ".activate": 56189, + "Ġindications": 56190, + "Ðķ": 56191, + "TouchUpInside": 56192, + "Ġinvaluable": 56193, + "ĠMASK": 56194, + "Ġcontend": 56195, + "Freq": 56196, + "Ġrecruits": 56197, + "(interval": 56198, + "ĠUserProfile": 56199, + "Ġ'./../": 56200, + "edu": 56201, + "_Callback": 56202, + "Ġanalogy": 56203, + "ĠTrophy": 56204, + "apphire": 56205, + "Videos": 56206, + "ĠCher": 56207, + "ĠHav": 56208, + "âĢ¦\"": 56209, + ".validator": 56210, + "gfx": 56211, + "ĠUObject": 56212, + "classnames": 56213, + "triangle": 56214, + "ĠEncoder": 56215, + ".spy": 56216, + "Ġpredators": 56217, + "=status": 56218, + "-safe": 56219, + ":\",Ċ": 56220, + "ĠIncluding": 56221, + "Ġ{};čĊ": 56222, + "*cos": 56223, + "Ġendured": 56224, + ".sulake": 56225, + "Ġnursery": 56226, + "Ġfragrance": 56227, + "Ġrebuilding": 56228, + "Ġnth": 56229, + "ĠFraser": 56230, + ".setDate": 56231, + "ĠVince": 56232, + "_REST": 56233, + "Ġventilation": 56234, + "æµ·": 56235, + "cribes": 56236, + ".asm": 56237, + "lpVtbl": 56238, + "ĠAbe": 56239, + "uisine": 56240, + ",array": 56241, + "ĉclassName": 56242, + "errals": 56243, + "Ġ'ĊĊ": 56244, + "Checkout": 56245, + "Ġsolicit": 56246, + "Aux": 56247, + "_capture": 56248, + "Ġribs": 56249, + "ragon": 56250, + "viol": 56251, + "topics": 56252, + "FunctionFlags": 56253, + "ĠMarty": 56254, + "bike": 56255, + "ĠTucker": 56256, + "(kernel": 56257, + "ĠOps": 56258, + "CloseOperation": 56259, + "/demo": 56260, + "ilda": 56261, + "ĠlÃŃnea": 56262, + "APPING": 56263, + "Ġsuites": 56264, + ".visitVarInsn": 56265, + "urus": 56266, + "ĠMinute": 56267, + "(manager": 56268, + "Ġbutterfly": 56269, + "Ġapare": 56270, + "Ġwolves": 56271, + "JWT": 56272, + "ĠSalon": 56273, + "ĉdelay": 56274, + "-eslint": 56275, + "isations": 56276, + ".rpc": 56277, + ")|(": 56278, + "ĠSnapchat": 56279, + "/mm": 56280, + "MN": 56281, + "ceries": 56282, + ".textAlignment": 56283, + "ĠFrankfurt": 56284, + "Ġado": 56285, + "(newValue": 56286, + "(access": 56287, + "(Expression": 56288, + "ĠSignIn": 56289, + "ĠHaiti": 56290, + "_tp": 56291, + ".setParameter": 56292, + "Minute": 56293, + "Ġmanuals": 56294, + "ricanes": 56295, + "ĠPTR": 56296, + "ĠOuter": 56297, + "Ġgetline": 56298, + "ocations": 56299, + "_CD": 56300, + "ĠLyon": 56301, + "/gui": 56302, + "_live": 56303, + "idan": 56304, + ".geom": 56305, + "ĠborderBottom": 56306, + "imuth": 56307, + "_checkpoint": 56308, + "Ġmeu": 56309, + "ĠIrving": 56310, + "Ġpeuvent": 56311, + "(MAX": 56312, + "ĠARCH": 56313, + "Ġpov": 56314, + ".sourceforge": 56315, + "Ġjamais": 56316, + "Ġark": 56317, + "ĠBaghdad": 56318, + "ĠCLEAR": 56319, + "MenuBar": 56320, + "Ġtrois": 56321, + "CHEDULE": 56322, + "Ġ#čĊ": 56323, + "(Call": 56324, + "$order": 56325, + "(Material": 56326, + "Ġencontrado": 56327, + "$list": 56328, + "ĠMETHODS": 56329, + ".beginTransaction": 56330, + "_MAG": 56331, + "StyleSheet": 56332, + "Ġmajors": 56333, + "Ġindefinitely": 56334, + "cleanup": 56335, + "Ġhomeland": 56336, + "(dto": 56337, + "Dates": 56338, + "Presentation": 56339, + "ĠDK": 56340, + "={`/": 56341, + "ĉKey": 56342, + "(Block": 56343, + "_checkbox": 56344, + "needs": 56345, + "ĠonComplete": 56346, + "rico": 56347, + "Ġgleich": 56348, + "Ġxm": 56349, + "OOD": 56350, + "Better": 56351, + "ĠSQLITE": 56352, + ".Book": 56353, + "xad": 56354, + "ĠGone": 56355, + "ĉdp": 56356, + "Ġdevotion": 56357, + "Ġstm": 56358, + "Ġobsess": 56359, + "ĠBackend": 56360, + "Queries": 56361, + "Ik": 56362, + "//****************************************************************": 56363, + "Ġdividends": 56364, + ".parentElement": 56365, + "}\")ĊĊ": 56366, + "ĠMaterialPageRoute": 56367, + ":num": 56368, + "Ġexplic": 56369, + "ĠOL": 56370, + "least": 56371, + "Oops": 56372, + "imentos": 56373, + "Ġinsurers": 56374, + "Ġheroic": 56375, + "ĉfields": 56376, + ".imgur": 56377, + ".btnCancel": 56378, + "ĠDetective": 56379, + "(sm": 56380, + "ĠMutableLiveData": 56381, + ".lab": 56382, + "(([": 56383, + "Ġhairst": 56384, + "ĠTransactions": 56385, + "å¼Ģå§ĭ": 56386, + "ĠstdClass": 56387, + "uento": 56388, + "GIS": 56389, + "_cod": 56390, + "Instructions": 56391, + "Calls": 56392, + "PointerType": 56393, + "ĠRw": 56394, + "Ġassortment": 56395, + "ĠDIG": 56396, + "+r": 56397, + "_CERT": 56398, + "Ġinstability": 56399, + "Ġvib": 56400, + "onas": 56401, + "Ġroku": 56402, + "apellido": 56403, + "Ġangl": 56404, + "preneur": 56405, + "Ġfluids": 56406, + "isease": 56407, + "Ġdeed": 56408, + "quist": 56409, + "_CONSTANT": 56410, + "Ġequilibrium": 56411, + "_delegate": 56412, + "ĠQuantum": 56413, + "rei": 56414, + "Capabilities": 56415, + "rectangle": 56416, + "?><": 56417, + "alien": 56418, + "ĠJug": 56419, + "DNA": 56420, + "Tickets": 56421, + "Occurs": 56422, + "ĠHawk": 56423, + ".setHorizontalGroup": 56424, + "\\Collection": 56425, + "ffiti": 56426, + "Ġrearr": 56427, + ".setVerticalGroup": 56428, + "Ġcavity": 56429, + "Ġadulte": 56430, + "Facade": 56431, + "-wh": 56432, + "ĠLOL": 56433, + "Ø°": 56434, + "Ġgrandparents": 56435, + "Swift": 56436, + "ĉwx": 56437, + "æīĢæľī": 56438, + "ifen": 56439, + "ffset": 56440, + "Beyond": 56441, + "//}ĊĊ": 56442, + "Ġwager": 56443, + "Ġbury": 56444, + "Ġcommence": 56445, + "registro": 56446, + "scient": 56447, + "ĠPercent": 56448, + "Ġдолж": 56449, + "(identifier": 56450, + ".setModel": 56451, + "Ġseldom": 56452, + "nton": 56453, + "Ġappliance": 56454, + "amus": 56455, + "rysler": 56456, + "Ġpanties": 56457, + "enguins": 56458, + "Ġmimic": 56459, + "ĠonChanged": 56460, + "Ġalcoholic": 56461, + ".reloadData": 56462, + "Charge": 56463, + "ĠFax": 56464, + "ĠjScrollPane": 56465, + "Empresa": 56466, + "Ġshattered": 56467, + "xba": 56468, + "Fonts": 56469, + "?s": 56470, + "Ġpostseason": 56471, + "retain": 56472, + "_rates": 56473, + "ĠrequestCode": 56474, + ".todo": 56475, + "´s": 56476, + "CHK": 56477, + "ĠKeeping": 56478, + "engeance": 56479, + "Ġvscode": 56480, + "IPPING": 56481, + "DefaultCloseOperation": 56482, + "_raise": 56483, + "ĠOculus": 56484, + "ograms": 56485, + "raj": 56486, + "pci": 56487, + "Ġcorrosion": 56488, + ".handleSubmit": 56489, + "Accessible": 56490, + "ĠPiano": 56491, + "little": 56492, + "ACL": 56493, + "Äĩe": 56494, + ".unwrap": 56495, + "ĠConvers": 56496, + "ĠLeben": 56497, + "ioneer": 56498, + "ĠMerchant": 56499, + "ĠJorge": 56500, + "Ġembracing": 56501, + "Ġventa": 56502, + "ást": 56503, + "Ġviene": 56504, + "Ċ": 56656, + "-growing": 56657, + "Ġdeepcopy": 56658, + "Ack": 56659, + "eggies": 56660, + "Ġ__(\"": 56661, + "Ġnoir": 56662, + "terrorism": 56663, + "Ġanthem": 56664, + "agency": 56665, + "_PACKAGE": 56666, + "ĠClosure": 56667, + ".registry": 56668, + "Ġmammals": 56669, + "L": 56700, + "Ġbluetooth": 56701, + ".Deep": 56702, + "-standing": 56703, + "ácil": 56704, + "Ġrooft": 56705, + "ĠPaths": 56706, + "_iterations": 56707, + "InvalidArgumentException": 56708, + ".spi": 56709, + "ĠUIAlertAction": 56710, + "uye": 56711, + "signin": 56712, + ".priority": 56713, + "ĠEssays": 56714, + "='{$": 56715, + "Ġè¿ĶåĽŀ": 56716, + "_signed": 56717, + ".persist": 56718, + "Ġredesign": 56719, + "ToLower": 56720, + "ĠNewman": 56721, + "=start": 56722, + "ĠIsraelis": 56723, + "asiswa": 56724, + "Speech": 56725, + "Ġnumeros": 56726, + "handlers": 56727, + "ĠWong": 56728, + "ĠмеÑĤод": 56729, + "Weights": 56730, + "ĠGujar": 56731, + "teil": 56732, + "ĠNonetheless": 56733, + "_EFFECT": 56734, + "Ġvect": 56735, + "ĠOsc": 56736, + "Ġcoats": 56737, + "ĠWheat": 56738, + "Ġgeek": 56739, + "ĠPROPERTY": 56740, + "worm": 56741, + "_constants": 56742, + "ĠBoulder": 56743, + "ĠParm": 56744, + "cole": 56745, + "ĠdefaultCenter": 56746, + "ĠRouge": 56747, + ":A": 56748, + "xcf": 56749, + "ĠVenice": 56750, + "median": 56751, + "Ġredemption": 56752, + "Fresh": 56753, + "Ġcosm": 56754, + "Ġfigur": 56755, + "Ġrefurb": 56756, + "COPE": 56757, + ".cd": 56758, + "Ġchords": 56759, + "ĠSgt": 56760, + "Åį": 56761, + "VPN": 56762, + "ĠSEND": 56763, + "ainen": 56764, + "_accounts": 56765, + "Ġtenth": 56766, + "Ġdissolved": 56767, + "": 57007, + "Ġlegitimacy": 57008, + "Ġoo": 57009, + "Slinky": 57010, + "Ġnationals": 57011, + ".words": 57012, + ";p": 57013, + "trap": 57014, + "omanip": 57015, + "Ġcues": 57016, + "Ġgraduating": 57017, + "Ġsemaphore": 57018, + "\"]);ĊĊ": 57019, + "acey": 57020, + "REET": 57021, + "Grab": 57022, + "ĠFelix": 57023, + "(Id": 57024, + "_neighbors": 57025, + "Ġmeaningless": 57026, + "(del": 57027, + "Ġjeder": 57028, + "ĠContentValues": 57029, + ".absolute": 57030, + "/cl": 57031, + "Ġxb": 57032, + "datum": 57033, + "Ġtortured": 57034, + "Ġrubbing": 57035, + "Scores": 57036, + "ĠðŁĺī": 57037, + "Ġavons": 57038, + "Ġamsterdam": 57039, + "EOS": 57040, + "Hal": 57041, + "Ġtrustworthy": 57042, + "#=": 57043, + ".EXTRA": 57044, + "Ġmano": 57045, + "isicing": 57046, + "-support": 57047, + "ĉcursor": 57048, + "ĠSpo": 57049, + "aimassage": 57050, + "Mission": 57051, + "[]{\"": 57052, + "Ġprinters": 57053, + "GREEN": 57054, + "Ġteg": 57055, + "Ġabdominal": 57056, + "!ĊĊĊĊĊĊ": 57057, + ".Short": 57058, + "азв": 57059, + "ĠGifts": 57060, + "}\")": 57061, + "(binding": 57062, + "xce": 57063, + "âĢij": 57064, + "infos": 57065, + "FormData": 57066, + "Ġdart": 57067, + "Ġelems": 57068, + "(inv": 57069, + "YL": 57070, + "tin": 57071, + "GENER": 57072, + "ữ": 57073, + "ĠTaken": 57074, + "uckle": 57075, + ":e": 57076, + "Ġspectral": 57077, + ".baidu": 57078, + "/');Ċ": 57079, + "Ġgreedy": 57080, + "esion": 57081, + ",,,,,,,,": 57082, + "Ġ/>,Ċ": 57083, + "InternalServerError": 57084, + "NSNotificationCenter": 57085, + "ĠAi": 57086, + "Ġspit": 57087, + "Ġaugmented": 57088, + "ĠstandardUserDefaults": 57089, + "FINITY": 57090, + "Race": 57091, + ":C": 57092, + "ĠRECORD": 57093, + "ĠHighlight": 57094, + "Ġ'`": 57095, + "Ġdeficits": 57096, + "Ġnei": 57097, + "Ġresearched": 57098, + "Ta": 57099, + "Ġcopp": 57100, + ".GetHashCode": 57101, + "):čĊčĊ": 57102, + "OnClick": 57103, + "ĠWellington": 57104, + "Ġrevival": 57105, + "æ¯Ķ": 57106, + "éĹ®": 57107, + "ĠNSS": 57108, + "Ġforn": 57109, + "Ġinté": 57110, + "ĠKuwait": 57111, + "_flip": 57112, + "_bo": 57113, + "_\\": 57114, + "Ġoccurrences": 57115, + "ĠScientists": 57116, + "SRC": 57117, + "ogens": 57118, + "igrant": 57119, + "REMOTE": 57120, + "ĠSID": 57121, + ".opts": 57122, + "uve": 57123, + "()])Ċ": 57124, + "Ġlibertarian": 57125, + "ĠGlide": 57126, + "lesen": 57127, + "Ġforme": 57128, + "owania": 57129, + "Ġannoyed": 57130, + "Defs": 57131, + "ĠExecutor": 57132, + "Ġcasts": 57133, + ".setChecked": 57134, + "ĠSharing": 57135, + ".SerializeObject": 57136, + "Ġselectors": 57137, + "_OTHER": 57138, + "미": 57139, + "(super": 57140, + "(OS": 57141, + "_VERIFY": 57142, + "idunt": 57143, + "';Ċ": 57145, + "Ġvidéo": 57146, + "ĠNegro": 57147, + "ĠLords": 57148, + "ĠTours": 57149, + "Ġsoftly": 57150, + ".receive": 57151, + "ĠERC": 57152, + "ĠdataSet": 57153, + "Badge": 57154, + "ĉEvent": 57155, + "Ġperl": 57156, + "Ġ{}\\": 57157, + "(sentence": 57158, + "OrUpdate": 57159, + "Ġdiminish": 57160, + "PIN": 57161, + "(draw": 57162, + ".ToDateTime": 57163, + ".EqualTo": 57164, + "(pin": 57165, + "-pencil": 57166, + "luent": 57167, + "ĠCaller": 57168, + "Ġplayful": 57169, + "-'+": 57170, + "xca": 57171, + "swick": 57172, + "){}Ċ": 57173, + "}:${": 57174, + "ĠMeth": 57175, + ".getCell": 57176, + ".break": 57177, + "Ġymax": 57178, + "='Ċ": 57391, + "ĠHiro": 57392, + "(TRUE": 57393, + "asurer": 57394, + "Ġcuer": 57395, + "Uber": 57396, + ".Operation": 57397, + "Ġolan": 57398, + "Ġthrilling": 57399, + "'.": 57421, + "ĉvalid": 57422, + "\"\",": 57423, + "Instrument": 57424, + ">J": 57425, + "Ġnostr": 57426, + "ĠRift": 57427, + "_Port": 57428, + "Ġveces": 57429, + "[['": 57430, + "Ġrallies": 57431, + "-series": 57432, + "Ġvv": 57433, + ".uc": 57434, + "Ġrtn": 57435, + "StateChanged": 57436, + "(ins": 57437, + "ĠCla": 57438, + "------------Ċ": 57439, + "cus": 57440, + "ĠReload": 57441, + "//------------------------------------------------------------------------------------------------": 57442, + ".seconds": 57443, + "_destination": 57444, + "Ġscrewed": 57445, + ">c": 57446, + "Thickness": 57447, + "Designer": 57448, + "Ġgrids": 57449, + "nÄħ": 57450, + "(cookie": 57451, + "Trip": 57452, + "-Mobile": 57453, + "Ġvoll": 57454, + "Ġgenital": 57455, + "Ġconfisc": 57456, + "ĠConfederate": 57457, + "ĠwebView": 57458, + "Ġmise": 57459, + "Ġcler": 57460, + "(selection": 57461, + "$date": 57462, + "Ġsharpen": 57463, + "ragen": 57464, + "AndUpdate": 57465, + "Ġremix": 57466, + "Ġhtons": 57467, + "RW": 57468, + "MPI": 57469, + "Ġretrieval": 57470, + "Ġrichest": 57471, + ".Decode": 57472, + ":initComponents": 57473, + "ĠTValue": 57474, + "Saint": 57475, + "@include": 57476, + "ĠPERSON": 57477, + ".sep": 57478, + "ĠLDAP": 57479, + "gba": 57480, + "ĠgroÃŁe": 57481, + "Ġreliably": 57482, + "ĠDFS": 57483, + ".getItemId": 57484, + "Ġprésent": 57485, + ".getToken": 57486, + "Ġchinese": 57487, + "ĠMeal": 57488, + "YOU": 57489, + "\">>ĊĊ": 58048, + "bower": 58049, + "Ġswapped": 58050, + "/install": 58051, + "Ġsinks": 58052, + "etrize": 58053, + "Ġdeclines": 58054, + "ĉmysql": 58055, + "ĠCString": 58056, + "ĠMotionEvent": 58057, + ".Language": 58058, + "Road": 58059, + "ÑĤеÑĢ": 58060, + "ascimento": 58061, + "'))->": 58062, + ".about": 58063, + "(editor": 58064, + "ĠRatings": 58065, + "income": 58066, + "Å¡e": 58067, + ".dequeueReusableCell": 58068, + "ĠAustrian": 58069, + "Ġsulla": 58070, + "ĠTribunal": 58071, + "ĠDidn": 58072, + "оваÑĢ": 58073, + "Ġinspections": 58074, + "Boss": 58075, + "Ġcocktails": 58076, + "Ġapologized": 58077, + "_subplot": 58078, + "opal": 58079, + "+=(": 58080, + "Ġresonance": 58081, + "ibu": 58082, + "Ġ리": 58083, + "roma": 58084, + "reserve": 58085, + "pls": 58086, + "ĠTah": 58087, + "axies": 58088, + "OPLE": 58089, + "ĠDarren": 58090, + "ĠZombie": 58091, + "_Map": 58092, + "Ġ])ĊĊ": 58093, + "ĠQi": 58094, + "ĠSail": 58095, + "Ġrestrictive": 58096, + "Ġerosion": 58097, + "-par": 58098, + "WHITE": 58099, + "Ġoldu": 58100, + "Ġaperture": 58101, + "Ġbitcoins": 58102, + "texto": 58103, + "ĠComcast": 58104, + "Ġtimeless": 58105, + "enkins": 58106, + "Ġfeeder": 58107, + "/tmp": 58108, + "resden": 58109, + "+'_": 58110, + ".Destroy": 58111, + "Ġçok": 58112, + "ĠDOCUMENT": 58113, + ".lng": 58114, + ".tagName": 58115, + "Ġkullan": 58116, + "egrate": 58117, + "Ġ(*.": 58118, + "ç¼ĸè¾ij": 58119, + "Ġhandshake": 58120, + "soc": 58121, + "_geometry": 58122, + "ĠDamascus": 58123, + "Minor": 58124, + "ĠKafka": 58125, + "ìŬ": 58126, + "Florida": 58127, + "_compute": 58128, + ".expr": 58129, + "Ġparalle": 58130, + "ĠDiaz": 58131, + "cir": 58132, + "[target": 58133, + "Ġjoking": 58134, + "Ġglor": 58135, + "(setq": 58136, + "_handlers": 58137, + "Hang": 58138, + "Ġferr": 58139, + "riminal": 58140, + "ĉĠĠĠĠĉĉ": 58141, + "enties": 58142, + "defines": 58143, + "-tax": 58144, + "jsonp": 58145, + "ĠUPS": 58146, + "metro": 58147, + "__;Ċ": 58148, + "ĠUganda": 58149, + "])):Ċ": 58150, + "_td": 58151, + "xae": 58152, + "lw": 58153, + ".OS": 58154, + "ĠLogged": 58155, + "acid": 58156, + "ĠMayo": 58157, + "aspect": 58158, + "Ġvaginal": 58159, + "Ġinitializing": 58160, + "Ġsteroids": 58161, + "fiction": 58162, + "GRE": 58163, + "gend": 58164, + "Ġliabilities": 58165, + "ĠLets": 58166, + "Mech": 58167, + "(nc": 58168, + "(change": 58169, + "Ġconnectors": 58170, + ":k": 58171, + "Ġtast": 58172, + "!\");ĊĊ": 58173, + "things": 58174, + "rophy": 58175, + "luetooth": 58176, + "ĠSignUp": 58177, + ".ctrl": 58178, + "Ġtherein": 58179, + "orda": 58180, + ".escape": 58181, + "igator": 58182, + "Ġpetrol": 58183, + "Ġspecimen": 58184, + "Ġdebuted": 58185, + "-Pro": 58186, + "Ġcrises": 58187, + ".addView": 58188, + "ëıĻ": 58189, + "-door": 58190, + "Ġmonet": 58191, + "Ġmillis": 58192, + "Ġvier": 58193, + "InternalEnumerator": 58194, + "Ġadmins": 58195, + "ĠLair": 58196, + "zin": 58197, + "getQuery": 58198, + "umbles": 58199, + "LIMIT": 58200, + "ĠVig": 58201, + "_song": 58202, + "": 58515, + "Ġpasado": 58516, + "thank": 58517, + "_Delete": 58518, + "ĠBrighton": 58519, + ",unsigned": 58520, + "ä½ľèĢħ": 58521, + "Ġaspirations": 58522, + "-how": 58523, + "Rose": 58524, + "=((": 58525, + "_needed": 58526, + "_plural": 58527, + ">ĊĊ": 58645, + "Ġsurfaced": 58646, + "ĠìłĢìŀ¥": 58647, + "platz": 58648, + "ĉemail": 58649, + "ceptors": 58650, + "\">(": 58651, + "Ġepile": 58652, + "读": 58653, + "ĠDebt": 58654, + "åijĬ": 58655, + "NOP": 58656, + "\"https": 58657, + ":j": 58658, + "FormItem": 58659, + "_LICENSE": 58660, + ".getDouble": 58661, + "ĠAgenda": 58662, + "ĉfinally": 58663, + "(filters": 58664, + "(av": 58665, + "ç¾İ": 58666, + "APER": 58667, + "Ġlava": 58668, + "еÑĢж": 58669, + "))))ĊĊ": 58670, + "Ġfaulty": 58671, + "_nm": 58672, + "Ġtrava": 58673, + "(Bitmap": 58674, + "Ġspeeding": 58675, + ">').": 58676, + "Ġscreened": 58677, + "_roll": 58678, + "ĠMacBook": 58679, + "ĠAUD": 58680, + "Ġdiagnose": 58681, + ".Generate": 58682, + "Ġ^^": 58683, + "Ġstrs": 58684, + "[Test": 58685, + "Ġransom": 58686, + "ĠDHCP": 58687, + "elden": 58688, + "Ġinterpretations": 58689, + "()].": 58690, + "flatMap": 58691, + "ĠlineHeight": 58692, + "_mount": 58693, + "ĠWizards": 58694, + "Ġsluts": 58695, + "ehler": 58696, + "odal": 58697, + "Ġmilitia": 58698, + "å²": 58699, + "earned": 58700, + "Ġmisery": 58701, + "intval": 58702, + "fund": 58703, + "Ġhides": 58704, + "Ġdiarr": 58705, + "ĠWesley": 58706, + "Ġxmm": 58707, + "Ġquem": 58708, + "ĠArabs": 58709, + "ifth": 58710, + "ategorized": 58711, + "Disposable": 58712, + "Pure": 58713, + "_NOTIFY": 58714, + "snippet": 58715, + "ĠGarrett": 58716, + ".running": 58717, + ".weights": 58718, + "Ġ(--": 58719, + "Ġinvariant": 58720, + "äºĭ件": 58721, + "ĠAllowed": 58722, + "dirs": 58723, + "Ġpassions": 58724, + "Ġlad": 58725, + "ĠFlush": 58726, + "menus": 58727, + ":block": 58728, + "Ġcompra": 58729, + ".chomp": 58730, + "allocator": 58731, + "Ġcurated": 58732, + "ĠKnowing": 58733, + "ĠPatterson": 58734, + "Ġtelah": 58735, + "'ex": 58736, + "Ġdoomed": 58737, + "Ġphilanth": 58738, + "otty": 58739, + ".styles": 58740, + "Owned": 58741, + "Ġallergies": 58742, + "=params": 58743, + "ocese": 58744, + "itelist": 58745, + "ĠSending": 58746, + "bef": 58747, + "orrar": 58748, + "ĠNão": 58749, + "ĠFargo": 58750, + "ĠLub": 58751, + "ĠCombined": 58752, + "_given": 58753, + "ĉĉĉĉĉĠĠĠĠ": 58754, + "Ġreconciliation": 58755, + "Patterns": 58756, + "azard": 58757, + "Ġbiomass": 58758, + "ĠHouses": 58759, + "respuesta": 58760, + "cco": 58761, + "/topics": 58762, + "ĠYuk": 58763, + "Ġweakened": 58764, + "_calendar": 58765, + "Ġmulheres": 58766, + "ĠMarl": 58767, + "Ġsine": 58768, + "ĠTil": 58769, + "ĠSouls": 58770, + "ĠDeutsche": 58771, + "ĠFOLLOW": 58772, + "Ġpipelines": 58773, + "ĠBeverly": 58774, + "_DIPSETTING": 58775, + "\"#": 58776, + "ĠProto": 58777, + ".big": 58778, + "ĠSavings": 58779, + "ĠTanz": 58780, + "jun": 58781, + "ĠGamma": 58782, + "ĠSadd": 58783, + "Ġadvisors": 58784, + "Ġroast": 58785, + "Ġunters": 58786, + "udies": 58787, + "_lon": 58788, + "-pointer": 58789, + "ĠElementRef": 58790, + "\\Builder": 58791, + "exampleInput": 58792, + ".webdriver": 58793, + "dataType": 58794, + "ĠQuite": 58795, + "ĠCeltics": 58796, + "uil": 58797, + "-defense": 58798, + "bish": 58799, + "ĠUIWindow": 58800, + "ĠSuddenly": 58801, + ".hot": 58802, + ".reason": 58803, + "Ġgör": 58804, + "AMD": 58805, + ".Multi": 58806, + "authenticated": 58807, + "regions": 58808, + ";(": 58809, + "аÑĢам": 58810, + "ĠKirby": 58811, + "$route": 58812, + "PRECATED": 58813, + "ĠDurham": 58814, + "owo": 58815, + "ĠPerforms": 58816, + "Ġdisregard": 58817, + "nst": 58818, + "ĠPols": 58819, + "ĠgetP": 58820, + "\"]:": 58821, + "-colored": 58822, + "(Keys": 58823, + "ĠAlleg": 58824, + "_modify": 58825, + "_loading": 58826, + "strained": 58827, + "Ġatroc": 58828, + "_phr": 58829, + "": 59821, + "ceph": 59822, + ".DateTimePicker": 59823, + ".\";ĊĊ": 59824, + "ĠTie": 59825, + ",item": 59826, + "Ġmenn": 59827, + "Gas": 59828, + "ocha": 59829, + "_virtual": 59830, + "Ġmasterpiece": 59831, + "_sequences": 59832, + "LTE": 59833, + "ĠSubmission": 59834, + "Caller": 59835, + "$\\": 59836, + "Sport": 59837, + "agus": 59838, + "ConstraintMaker": 59839, + "Ġcoloc": 59840, + "Ġwig": 59841, + "ĠУ": 59842, + "ĉArray": 59843, + "Looks": 59844, + "ĠGTA": 59845, + ".steps": 59846, + "atchewan": 59847, + "_ranges": 59848, + "extAlignment": 59849, + "ĠBrennan": 59850, + "Ġabstraction": 59851, + "ulerAngles": 59852, + ".misc": 59853, + "Ġantibodies": 59854, + "Ġexponential": 59855, + "ĠCHANNEL": 59856, + "expense": 59857, + "'y": 59858, + "Ġdetectives": 59859, + "Ġpurported": 59860, + "YSTEM": 59861, + "Ġradioactive": 59862, + "ĠLatina": 59863, + ".Encoding": 59864, + ".TAG": 59865, + "xin": 59866, + "Degree": 59867, + "uracion": 59868, + "prices": 59869, + "ĠReferentialAction": 59870, + "Ġrarity": 59871, + "Ġpiles": 59872, + "gende": 59873, + "_projects": 59874, + "_globals": 59875, + ".startTime": 59876, + "Ġ구": 59877, + "SECTION": 59878, + "_publish": 59879, + "Fault": 59880, + "DDL": 59881, + "_prior": 59882, + "Mom": 59883, + "Ġthicker": 59884, + "Ġsequelize": 59885, + "Ġessentials": 59886, + "stras": 59887, + "intr": 59888, + ">(()": 59889, + ".management": 59890, + "eil": 59891, + "éĹŃ": 59892, + "Aware": 59893, + ".City": 59894, + "ĠArbit": 59895, + "_DM": 59896, + "_keyboard": 59897, + "LObject": 59898, + "-webpack": 59899, + "ĠNewport": 59900, + "ĠprincipalColumn": 59901, + "legant": 59902, + "Ġpallet": 59903, + "Ġfracture": 59904, + "Ġgmail": 59905, + ".Meta": 59906, + "Above": 59907, + ".KeyEvent": 59908, + "jit": 59909, + "_macro": 59910, + "_PUSH": 59911, + "ứ": 59912, + "/controller": 59913, + "åĬłè½½": 59914, + "Ġsuperficial": 59915, + "exterity": 59916, + "Ġmensagem": 59917, + "Wind": 59918, + "iston": 59919, + ".openapi": 59920, + "иÑĢов": 59921, + "ĠSerializer": 59922, + "uctive": 59923, + "Ġzar": 59924, + "Places": 59925, + ".Static": 59926, + "Ba": 59927, + "Ġinadvert": 59928, + "ĠIndonesian": 59929, + "_IPV": 59930, + "(horizontal": 59931, + "ĠgetTitle": 59932, + "idepress": 59933, + "ĠConsoleColor": 59934, + "ipers": 59935, + "$out": 59936, + "Ġfestive": 59937, + "Ġevenings": 59938, + ".GetData": 59939, + "uitka": 59940, + "ĠManuals": 59941, + "ussed": 59942, + "_Max": 59943, + ".Chat": 59944, + "ĠAircraft": 59945, + "=com": 59946, + "FOUND": 59947, + "apro": 59948, + "Ġtreasures": 59949, + "_alive": 59950, + "Ġgadget": 59951, + "eking": 59952, + "ButtonDown": 59953, + "Browsable": 59954, + ".PERMISSION": 59955, + "PASSWORD": 59956, + "ĠHASH": 59957, + "fé": 59958, + "\\TestCase": 59959, + "LOSS": 59960, + "others": 59961, + ",J": 59962, + "Ġasshole": 59963, + "werk": 59964, + "Ġmã": 59965, + ".ie": 59966, + "evil": 59967, + "kontakte": 59968, + "////////////////////////////////////////////////////////////////////////////////Ċ": 59969, + "=sys": 59970, + "ĉlock": 59971, + "--;ĊĊ": 59972, + "_FUN": 59973, + "FillColor": 59974, + "óa": 59975, + "prend": 59976, + "Ġcompressor": 59977, + "Mother": 59978, + "ĠArcher": 59979, + ".goto": 59980, + "Ġwürde": 59981, + "Ġbamboo": 59982, + "ï¼İ": 59983, + "ĠTrees": 59984, + "Ġbumper": 59985, + "Ġsausage": 59986, + "ĠElasticsearch": 59987, + "Ġhorizontally": 59988, + "ĠGul": 59989, + "Immutable": 59990, + "Ġloser": 59991, + "Ġaborted": 59992, + "-demo": 59993, + "ĠHatch": 59994, + "Ġunde": 59995, + "Ġprocesso": 59996, + "-call": 59997, + "Income": 59998, + "åĥ": 59999, + "_returns": 60000, + "'].\"'": 60001, + "(sw": 60002, + "CBS": 60003, + "amilies": 60004, + "ĠYourself": 60005, + "ĠHolt": 60006, + ".MON": 60007, + "à§ĩ": 60008, + "ÑĪе": 60009, + "anon": 60010, + "ĠFontAwesome": 60011, + "producer": 60012, + "jr": 60013, + "Ġmau": 60014, + "ĉinter": 60015, + "Ġdishonest": 60016, + "Ġmagna": 60017, + "ĠCollective": 60018, + "Ġvraiment": 60019, + "Ġchoix": 60020, + "stay": 60021, + "Ġwelding": 60022, + "rising": 60023, + ",min": 60024, + "ĠFate": 60025, + "glob": 60026, + "RGBA": 60027, + "Ġdette": 60028, + "Ven": 60029, + "Ġembarrassment": 60030, + ".DELETE": 60031, + "gregar": 60032, + "-render": 60033, + "(bucket": 60034, + "\">ĊĊĊ": 60035, + ".waitKey": 60036, + "Busy": 60037, + "Ġdifferentiation": 60038, + "ĠCST": 60039, + ".Constant": 60040, + "ĠlineNumber": 60041, + "(matches": 60042, + "Ġwebsocket": 60043, + "Ġbarred": 60044, + "Ġpuedes": 60045, + "Mono": 60046, + "CORE": 60047, + "IID": 60048, + "ĠĠĠĠčĊčĊ": 60049, + "Ġpúblico": 60050, + "leaning": 60051, + "Ġcleansing": 60052, + "Ġcris": 60053, + "ĠDevils": 60054, + "_SETTING": 60055, + "untary": 60056, + ".);Ċ": 60057, + "ĊĠĠĠĊ": 60058, + "[curr": 60059, + "tsy": 60060, + "ĠAlexis": 60061, + "ritel": 60062, + "Ġpetroleum": 60063, + ".preprocessing": 60064, + "matter": 60065, + "ForResult": 60066, + "-license": 60067, + "Ġtravellers": 60068, + "ĠDispatcher": 60069, + "ennifer": 60070, + "Ġdigestive": 60071, + "PED": 60072, + "hibition": 60073, + "MASConstraintMaker": 60074, + "ĠWatt": 60075, + "Benef": 60076, + ".setView": 60077, + "dto": 60078, + "TEE": 60079, + "ĠPelosi": 60080, + "_EXTRA": 60081, + "Ġmedals": 60082, + "xhr": 60083, + "forecast": 60084, + "Ġnargin": 60085, + "ouns": 60086, + "-fill": 60087, + "_CURSOR": 60088, + "Ġsupervised": 60089, + "Ġturf": 60090, + "ĠEdgar": 60091, + "POSITION": 60092, + "ĠcategoryId": 60093, + "âī": 60094, + "_ER": 60095, + "ủa": 60096, + "Shown": 60097, + ".ll": 60098, + "_POLICY": 60099, + "(),'": 60100, + "ĠPrev": 60101, + "ĠStringField": 60102, + "ĉGlobal": 60103, + "assed": 60104, + "Throughout": 60105, + "ostringstream": 60106, + ".awtextra": 60107, + "Ġslopes": 60108, + "ĠSequential": 60109, + "Ġgiorn": 60110, + "Ġzelf": 60111, + "Ġversatility": 60112, + "leneck": 60113, + ".cgi": 60114, + "Ġdoubling": 60115, + "ĠBangkok": 60116, + "Ġbuurt": 60117, + "Ġusuário": 60118, + "studio": 60119, + "Ġjeunes": 60120, + "Ġmuted": 60121, + "Ġips": 60122, + "_fraction": 60123, + "&&(": 60124, + "Ġstunt": 60125, + "');?>čĊ": 60149, + "Ġevapor": 60150, + "bable": 60151, + "ĠPRICE": 60152, + "Ġæ³": 60153, + "lucent": 60154, + "Ġvamp": 60155, + "ĠTechnician": 60156, + "Ġuniqueness": 60157, + "Mes": 60158, + "urban": 60159, + ".parametrize": 60160, + "ĠReplay": 60161, + "Sessions": 60162, + "embr": 60163, + "-Americans": 60164, + "_PROXY": 60165, + "Ġpian": 60166, + "Ġtrie": 60167, + "ĠDestructor": 60168, + "GameState": 60169, + "ĠIMF": 60170, + "chin": 60171, + "Ġporte": 60172, + "ĠSwal": 60173, + "åŁİ": 60174, + "Substring": 60175, + "iming": 60176, + "/Library": 60177, + "Ġfrightened": 60178, + "writes": 60179, + "Ġrecursos": 60180, + "arResult": 60181, + "_INITIALIZ": 60182, + "ĠBadge": 60183, + "_crc": 60184, + "Eight": 60185, + "ĠDISTINCT": 60186, + "Ġthro": 60187, + "@Xml": 60188, + "ĠLegendary": 60189, + "-twitter": 60190, + "_easy": 60191, + "Ġ+++": 60192, + "(DATA": 60193, + ".Locale": 60194, + "Ġkä": 60195, + "Ġnurt": 60196, + "Ġcruis": 60197, + "_ios": 60198, + "Ġsensing": 60199, + "_Line": 60200, + "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 60201, + "pong": 60202, + "oleon": 60203, + "Ġwildcard": 60204, + "çĶ¨æĪ·åIJį": 60205, + "Ġbegging": 60206, + "Rod": 60207, + "ĠÃİ": 60208, + "_CELL": 60209, + "Researchers": 60210, + ".selector": 60211, + "_ing": 60212, + "Ġaspiring": 60213, + "Ġimmortal": 60214, + "Ġymin": 60215, + "_robot": 60216, + "Ġplur": 60217, + "BTC": 60218, + "ĠDID": 60219, + "Ġpiercing": 60220, + "*u": 60221, + "_DEFINED": 60222, + "ĠThi": 60223, + "itaire": 60224, + "(media": 60225, + "-ons": 60226, + "Ġchefs": 60227, + "Ġ\"*.": 60228, + "/AP": 60229, + "Ġrazor": 60230, + "ĠsearchData": 60231, + "Ġ=&": 60232, + "ĠãĢĤ": 60233, + "Ġmourn": 60234, + "tingham": 60235, + "Ġoli": 60236, + "ĠVernon": 60237, + "_RS": 60238, + "ŀæĢ§": 60239, + "Ġfácil": 60240, + "angen": 60241, + "celain": 60242, + "Ġail": 60243, + "lest": 60244, + "ĠQCOMPARE": 60245, + "gain": 60246, + "Ġε": 60247, + "ĠKob": 60248, + "ĠFault": 60249, + "_configs": 60250, + "ç»ĵæŀľ": 60251, + ".+": 60252, + "calar": 60253, + "(colors": 60254, + "Mul": 60255, + "_ART": 60256, + "Ġexperimenting": 60257, + "ermen": 60258, + "ĠAnglo": 60259, + ".FixedSingle": 60260, + "Sea": 60261, + "Ġctxt": 60262, + ".slider": 60263, + "Collapse": 60264, + "Grey": 60265, + "Ġfld": 60266, + "-proof": 60267, + ".capacity": 60268, + "getParent": 60269, + "ĠCompliance": 60270, + "Ġburgl": 60271, + "-rec": 60272, + "Ġoverwritten": 60273, + "MU": 60274, + "Ġrouters": 60275, + "ĉModel": 60276, + "Ġfantasies": 60277, + "avian": 60278, + "_prec": 60279, + "ĠScandin": 60280, + "Ġ//<": 60281, + "/oct": 60282, + "Ġceremonies": 60283, + "Months": 60284, + "undy": 60285, + "Ġqued": 60286, + "ĠNou": 60287, + "ĠVibr": 60288, + ".rgb": 60289, + "Ġcitrus": 60290, + "Ġbraces": 60291, + "-uppercase": 60292, + "getTable": 60293, + "Ġdopo": 60294, + "ĠKerr": 60295, + "_CHILD": 60296, + "-cloud": 60297, + "ĉMatrix": 60298, + "Ġgardening": 60299, + "Sing": 60300, + "almost": 60301, + "Requirements": 60302, + "uguay": 60303, + "(Property": 60304, + "subscriber": 60305, + "FAST": 60306, + "reaction": 60307, + "(lp": 60308, + ")})Ċ": 60309, + "`).": 60310, + ".wallet": 60311, + "_exchange": 60312, + ".Maximum": 60313, + "ĠVerb": 60314, + "âĶģ": 60315, + "()<": 60316, + "ï¼ĽĊ": 60317, + "ROT": 60318, + "CARD": 60319, + "ubit": 60320, + "{@": 60321, + "_kel": 60322, + "ĠTooltip": 60323, + "MySQL": 60324, + "MainActivity": 60325, + "arf": 60326, + "Ġmalign": 60327, + "Ġseinen": 60328, + "apist": 60329, + "Ġ<%": 60330, + "MethodImpl": 60331, + "Mil": 60332, + "ĠMick": 60333, + ".depend": 60334, + ">&": 60367, + "ĉok": 60368, + "-low": 60369, + ".usuario": 60370, + "nested": 60371, + "XB": 60372, + "OURS": 60373, + ".BorderColor": 60374, + "Ġbrow": 60375, + "ĠÐķ": 60376, + "corr": 60377, + "ĠRedskins": 60378, + ".getTag": 60379, + ".getTransaction": 60380, + "Ġstigma": 60381, + "hardt": 60382, + "ĠPlayerPrefs": 60383, + "alsy": 60384, + "ucson": 60385, + "Languages": 60386, + "ĠOlivia": 60387, + "Ġtac": 60388, + "Ġbli": 60389, + "Ġcaval": 60390, + "Ġconsolidated": 60391, + "Ġperil": 60392, + "Ġdele": 60393, + "Ġformulated": 60394, + "Ġhighways": 60395, + ".spawn": 60396, + "==$": 60397, + "ĠNiet": 60398, + "Ġveggies": 60399, + "ypo": 60400, + "-rule": 60401, + "ĠVie": 60402, + "/epl": 60403, + "Ġenfants": 60404, + "stringLiteral": 60405, + "Ġtoughest": 60406, + "buyer": 60407, + "Ġcovariance": 60408, + "Ġili": 60409, + "ĠSophie": 60410, + "ĠBAB": 60411, + "Ġ\"),": 60412, + "ĠUk": 60413, + "currentIndex": 60414, + "_userdata": 60415, + ".codec": 60416, + "ĠPunjab": 60417, + "ĠSNP": 60418, + "lol": 60419, + "advance": 60420, + "Ġcomfy": 60421, + "JsonIgnore": 60422, + "Ġfashionable": 60423, + "ĠICON": 60424, + "Ġora": 60425, + "ĠPricing": 60426, + "E": 60484, + "tering": 60485, + "/screens": 60486, + "Ġheightened": 60487, + "аÑĢÑĤ": 60488, + "Authorities": 60489, + "_bbox": 60490, + "ünst": 60491, + ".fontSize": 60492, + "ĠBOOLEAN": 60493, + "divide": 60494, + "ĠSloven": 60495, + "ucer": 60496, + "ÙĴ": 60497, + "stub": 60498, + "Ġnavigating": 60499, + ":animated": 60500, + "_NOW": 60501, + "_vect": 60502, + "}{Ċ": 60503, + "@(": 60504, + "Ġtelecom": 60505, + "Ġcontracting": 60506, + "ĠAssange": 60507, + "Ġextracting": 60508, + "Ġgrö": 60509, + "cobra": 60510, + ".DIS": 60511, + "Ġcrab": 60512, + "Ġtwitch": 60513, + "Ġverts": 60514, + "Ġrejects": 60515, + "ĉformat": 60516, + "Ġregeneration": 60517, + ".Sys": 60518, + "solve": 60519, + "ĉdialog": 60520, + "shi": 60521, + "meter": 60522, + "(best": 60523, + "validators": 60524, + "Ġonwards": 60525, + "Ġguru": 60526, + "Ġmoderator": 60527, + "owied": 60528, + "experiment": 60529, + "rub": 60530, + "Ġmqtt": 60531, + "ĠCaucas": 60532, + "Ġnationalism": 60533, + "Ġmange": 60534, + "ĉImGui": 60535, + "/Edit": 60536, + "Ġinh": 60537, + "Ġintellig": 60538, + "erokee": 60539, + "ĉexport": 60540, + "Ġdiscriminate": 60541, + "subtract": 60542, + "ĠMoodle": 60543, + "enser": 60544, + "ĠGuides": 60545, + "RAP": 60546, + "-hot": 60547, + "_grp": 60548, + ".picture": 60549, + "XA": 60550, + "ĠinitView": 60551, + "_Comm": 60552, + "Ġoverdose": 60553, + "Ġ+ĊĊ": 60554, + "ĠSilent": 60555, + "shows": 60556, + "Ġinterpolate": 60557, + "Formation": 60558, + "Ġbisc": 60559, + "markets": 60560, + "(SC": 60561, + "Ze": 60562, + "ĠNetworking": 60563, + "Ġadrenal": 60564, + "ĠGuns": 60565, + "eteor": 60566, + "Declared": 60567, + "orgetown": 60568, + "Ġkarena": 60569, + "/password": 60570, + "_addresses": 60571, + "ITERAL": 60572, + "Buzz": 60573, + "ĠConway": 60574, + "(case": 60575, + "PWD": 60576, + "heiro": 60577, + "(act": 60578, + "**čĊ": 60579, + "());ĊĊĊ": 60580, + "Ġanv": 60581, + "Ġ..ĊĊ": 60582, + "(MenuItem": 60583, + "(mail": 60584, + "_sections": 60585, + "ĉnet": 60586, + "Ġplut": 60587, + "Ġwrench": 60588, + "/object": 60589, + "ĠIst": 60590, + "ĠVIS": 60591, + "/pub": 60592, + "alten": 60593, + "Ġguitars": 60594, + "Ġantibiotic": 60595, + "ï¼ĸ": 60596, + "¹": 60597, + "Ġ\"+\"": 60598, + "formula": 60599, + "Ġbabes": 60600, + "ĠPrompt": 60601, + "Ġenim": 60602, + "/player": 60603, + "ĉref": 60604, + "ĠbyÄĩ": 60605, + "Ġconsumes": 60606, + "ĠHast": 60607, + "ĠTao": 60608, + "Ġ'))Ċ": 60609, + "Ġclam": 60610, + "Ġthighs": 60611, + "Ġmotif": 60612, + "ApiOperation": 60613, + "ĠWL": 60614, + "getC": 60615, + "ĉflags": 60616, + "ointments": 60617, + "Ġeconomical": 60618, + "needle": 60619, + "xls": 60620, + "practice": 60621, + "utzer": 60622, + "timeofday": 60623, + "-output": 60624, + "ĠfindById": 60625, + "ĠBuddy": 60626, + "ÐŀÑĤ": 60627, + "Seven": 60628, + "ĠBark": 60629, + "Ġenvoy": 60630, + "_algorithm": 60631, + "åĪ©": 60632, + "Ġballistic": 60633, + "移": 60634, + "rades": 60635, + "ĉdoc": 60636, + "roducing": 60637, + "ĠEating": 60638, + "Unmount": 60639, + "/dataTables": 60640, + "_bonus": 60641, + "Ġlitt": 60642, + "pps": 60643, + ")localObject": 60644, + "perf": 60645, + "ĠHelvetica": 60646, + "shutdown": 60647, + "/ml": 60648, + ".tokens": 60649, + "ĠHardcore": 60650, + ",row": 60651, + "/bg": 60652, + "Scaler": 60653, + "âĢĶas": 60654, + "_logits": 60655, + "âĢĻint": 60656, + "ĉApp": 60657, + "Implicit": 60658, + ".Fprintf": 60659, + "ETO": 60660, + "Ġterra": 60661, + "Ġpossessing": 60662, + ".rstrip": 60663, + ",),": 60664, + "=yes": 60665, + "ĠStripe": 60666, + "?=": 60667, + "neutral": 60668, + ".good": 60669, + "Ġkennen": 60670, + "ĠSung": 60671, + "fault": 60672, + "ystatechange": 60673, + "Canadian": 60674, + "','\".$": 60675, + "ĠMits": 60676, + "ænd": 60677, + "ĠSTRUCT": 60678, + "ĠURLWithString": 60679, + "ĠCompass": 60680, + "Ġ--ĊĊ": 60681, + "ĠNSLayoutConstraint": 60682, + "|min": 60683, + "-adjust": 60684, + "Ġrebuilt": 60685, + "LIGHT": 60686, + "/se": 60687, + "-mount": 60688, + "vpn": 60689, + "validated": 60690, + "(QObject": 60691, + "Ġignition": 60692, + "ĠChargers": 60693, + "RYPTO": 60694, + "]initWithFrame": 60695, + "ĠFluid": 60696, + "Ġcadre": 60697, + "Ġnominations": 60698, + "Neill": 60699, + "ĠHou": 60700, + "Ġcurrents": 60701, + "_gene": 60702, + "(inp": 60703, + "Paris": 60704, + "zÄĻ": 60705, + "aggregate": 60706, + "Ġassoc": 60707, + "weeted": 60708, + "errat": 60709, + "âĢĵĊĊ": 60710, + "Ġ'/',Ċ": 60711, + "fixture": 60712, + "ĠHighest": 60713, + "ambient": 60714, + "Ġchmod": 60715, + "Ġconte": 60716, + "Ġsensual": 60717, + "Ġgarment": 60718, + "zers": 60719, + "ĠPowered": 60720, + "domains": 60721, + "Reward": 60722, + "iomanip": 60723, + "Ġcockpit": 60724, + "outfile": 60725, + "Ġbuiltin": 60726, + "Ġinsisting": 60727, + ".vars": 60728, + "zipcode": 60729, + "Ġ����": 60730, + "fails": 60731, + "Ġconsolidation": 60732, + "_oid": 60733, + "Planet": 60734, + "Ġ=\",": 60735, + "ĉel": 60736, + "UILT": 60737, + "ätz": 60738, + "afari": 60739, + "ĠMcCl": 60740, + "Timeline": 60741, + "Esta": 60742, + "Ġfram": 60743, + "YE": 60744, + "Ġcerebral": 60745, + "OfMonth": 60746, + "ĠPregn": 60747, + "ĠклаÑģÑģ": 60748, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 60749, + "ĠFres": 60750, + "Approved": 60751, + ".Special": 60752, + "ĠProtestant": 60753, + "Ġallergy": 60754, + "_pcm": 60755, + "ĉCopyright": 60756, + "ĠsuperClass": 60757, + "\"strconv": 60758, + "ĠMohamed": 60759, + "Ġ'//": 60760, + "ForeColor": 60761, + "Arthur": 60762, + "ĠJungle": 60763, + "Ġveins": 60764, + "Sad": 60765, + "Ġbackups": 60766, + "ĠOpinion": 60767, + "ût": 60768, + "Ġintermitt": 60769, + "odyn": 60770, + "ĠChristina": 60771, + "Ġandre": 60772, + "Ġevacuation": 60773, + "palette": 60774, + "horse": 60775, + "ĠResident": 60776, + "ĠHassan": 60777, + ".Nil": 60778, + "Ġaisle": 60779, + "ĠGrowing": 60780, + "Ġbloginfo": 60781, + "/sql": 60782, + "_ioctl": 60783, + "Scaling": 60784, + "ĠMonad": 60785, + "_cpp": 60786, + "ĠHutch": 60787, + "ĠAppleWebKit": 60788, + "Expense": 60789, + "_JOB": 60790, + "Ġpointless": 60791, + "FromBody": 60792, + "antal": 60793, + "Ġdepicting": 60794, + "ĠCELL": 60795, + "Ġrefin": 60796, + "ĠCNC": 60797, + "ì¹ĺ": 60798, + "_dimensions": 60799, + "ĠSAN": 60800, + "Ġaft": 60801, + "Ġfootsteps": 60802, + "ccoli": 60803, + "_PHONE": 60804, + "/math": 60805, + "-kind": 60806, + "ĠMeans": 60807, + "ichael": 60808, + ".guna": 60809, + "Ġinauguration": 60810, + "-driving": 60811, + "(delete": 60812, + "ĠtotalCount": 60813, + "_MC": 60814, + ".Extension": 60815, + "Commercial": 60816, + "ĠzIndex": 60817, + "$": 60949, + "Ġebay": 60950, + "Ġcaptive": 60951, + "pliant": 60952, + "ĠCalculates": 60953, + "olta": 60954, + "esting": 60955, + "_revision": 60956, + "Ġmús": 60957, + "+m": 60958, + "\",\"\",\"": 60959, + "WHAT": 60960, + "Ġcompassionate": 60961, + "harga": 60962, + "[random": 60963, + "Ġmodulo": 60964, + "(sn": 60965, + "Ġoccupations": 60966, + "////Ċ": 60967, + "ĉboard": 60968, + "ĠBalk": 60969, + "wiÄħ": 60970, + "ĠWifi": 60971, + ".Profile": 60972, + ":maj": 60973, + "ĉmat": 60974, + "LOCKS": 60975, + "(jButton": 60976, + "Ġ('$": 60977, + "Mur": 60978, + "æĮī": 60979, + "bble": 60980, + "Ġfrog": 60981, + "-hide": 60982, + "Ġbroadcaster": 60983, + "à¸ŀ": 60984, + "haled": 60985, + "Ġamusing": 60986, + "_predictions": 60987, + "_intr": 60988, + "Ġeagle": 60989, + "аÑĤелÑĮ": 60990, + "ĠgetList": 60991, + "psilon": 60992, + "Ġcharacterization": 60993, + "ARDS": 60994, + "Ġrelocation": 60995, + "Ġrulers": 60996, + "PAY": 60997, + "ĠDefinitely": 60998, + "_Action": 60999, + "Ġclosures": 61000, + "Ġfactual": 61001, + "odynamic": 61002, + "Ġprecautions": 61003, + "niej": 61004, + "ĠParties": 61005, + "ĠSubaru": 61006, + "Ġcousins": 61007, + "arbeit": 61008, + ".money": 61009, + "gunta": 61010, + "(and": 61011, + "getitem": 61012, + ".StylePriority": 61013, + "Ġslid": 61014, + "singleton": 61015, + "Ġgarn": 61016, + "ĠPAS": 61017, + "Ġdazz": 61018, + "aż": 61019, + "Ġbogus": 61020, + "ĠMog": 61021, + "Ġrivalry": 61022, + "isol": 61023, + "Ġlandmarks": 61024, + "ñas": 61025, + "Bern": 61026, + "ĠSachs": 61027, + "Ġ\")ĊĊ": 61028, + "Ġhostility": 61029, + "_mex": 61030, + "mere": 61031, + "Mot": 61032, + "pictureBox": 61033, + "Defense": 61034, + "Ġaffidavit": 61035, + "otherwise": 61036, + ".directory": 61037, + "_UnityEngine": 61038, + "-blog": 61039, + ".skin": 61040, + "phem": 61041, + "Apellido": 61042, + "erchant": 61043, + "[class": 61044, + "Ġwart": 61045, + ".\"[": 61046, + "aleur": 61047, + "/back": 61048, + "ĠĠĠĠĉĠĠĠ": 61049, + "Ġprecipitation": 61050, + "Ġobstruction": 61051, + "ĠpObj": 61052, + "Ġrupt": 61053, + "UCKET": 61054, + "aye": 61055, + "æİĴ": 61056, + "gx": 61057, + "Ġecl": 61058, + "Ġsecrecy": 61059, + "/Header": 61060, + "ĠLesb": 61061, + "Ġlei": 61062, + "ĠBulletin": 61063, + "Ġgiveaway": 61064, + ".Home": 61065, + "_ROOM": 61066, + "\"W": 61067, + "Ġcowork": 61068, + "_ra": 61069, + "ĠCycling": 61070, + "ĠPaw": 61071, + "Ġpupil": 61072, + "/arch": 61073, + "ĠFileUtils": 61074, + "é¦ĸ": 61075, + "rsp": 61076, + "Ġfreedoms": 61077, + "ĠLear": 61078, + "}`).": 61079, + "Ġbowls": 61080, + "/block": 61081, + "_logging": 61082, + "Ġmethane": 61083, + "Ġhorns": 61084, + "Ġwonderfully": 61085, + "Ġalterations": 61086, + "Ġexile": 61087, + "lsen": 61088, + "_pause": 61089, + "_LANGUAGE": 61090, + "ĠUSDA": 61091, + "_mysql": 61092, + "_AMOUNT": 61093, + "ĠLIFE": 61094, + "Ġyoungsters": 61095, + "Ġriots": 61096, + "[E": 61097, + "Ġunforgettable": 61098, + ",},Ċ": 61099, + "Disposed": 61100, + "ĠAssassin": 61101, + "UNG": 61102, + "ĠNewsp": 61103, + "UserService": 61104, + ":aload": 61105, + "+',": 61106, + "Ġsettlers": 61107, + "Ġscreams": 61108, + "Ġinconvenience": 61109, + ".Rotate": 61110, + "Ġjars": 61111, + "ĠPuzzle": 61112, + "Ġmest": 61113, + "arsi": 61114, + "ĠSharma": 61115, + "|(": 61116, + ".ds": 61117, + "ĠSacred": 61118, + "_evt": 61119, + "Ġexpresses": 61120, + "Ġhoch": 61121, + "ĠDuch": 61122, + ".calls": 61123, + "thr": 61124, + "ĠSheffield": 61125, + ".AlertDialog": 61126, + "Ġradically": 61127, + "Ġtrous": 61128, + "Ġprevailing": 61129, + "ĠWWII": 61130, + "âĢĻn": 61131, + "ensely": 61132, + "ĠYesterday": 61133, + "ĠSirius": 61134, + "Ġkillers": 61135, + "ĠFFT": 61136, + "Ġoval": 61137, + "'):čĊ": 61138, + "Ġìłķë³´": 61139, + "ourage": 61140, + "ĠCheckbox": 61141, + "Workbook": 61142, + ".defer": 61143, + "_floor": 61144, + "Ġcouncill": 61145, + "Ġnorske": 61146, + "moil": 61147, + "orea": 61148, + "Ġmarketed": 61149, + "_SUR": 61150, + "xAA": 61151, + "Ġstained": 61152, + "eut": 61153, + "ĠMeng": 61154, + "Ġieee": 61155, + ".extern": 61156, + "egie": 61157, + "Ġrapp": 61158, + "ĠPyongyang": 61159, + "'class": 61160, + "Mob": 61161, + "ĠinitialValue": 61162, + "_wave": 61163, + "Ġjab": 61164, + "Ġmasculine": 61165, + "Ġamplifier": 61166, + "Ġtty": 61167, + "PathComponent": 61168, + "_xt": 61169, + "ĠGFP": 61170, + "/sec": 61171, + "ĉdispatch": 61172, + "markdown": 61173, + "ĠSchn": 61174, + "bole": 61175, + "··": 61176, + "mousemove": 61177, + "ĠerrMsg": 61178, + "Ġasign": 61179, + "_mono": 61180, + "ToSelector": 61181, + "ĠZu": 61182, + "(Rect": 61183, + "ĠErrorCode": 61184, + "latin": 61185, + "angible": 61186, + "vtk": 61187, + "CGSize": 61188, + "Pokemon": 61189, + "Ġclassmates": 61190, + "Ġattracts": 61191, + "ĠTatto": 61192, + "ultan": 61193, + "ológ": 61194, + "Ġhalted": 61195, + "न": 61196, + "ĠKart": 61197, + "Ġue": 61198, + "_InitStructure": 61199, + "TestClass": 61200, + "ĠAirbnb": 61201, + "_\",": 61202, + "Ġcharcoal": 61203, + "Ġipc": 61204, + "ĠStretch": 61205, + ".glide": 61206, + "latesAutoresizingMaskIntoConstraints": 61207, + "Ġpotion": 61208, + "ITTLE": 61209, + "Ġcountert": 61210, + "_hd": 61211, + "prepared": 61212, + "Ads": 61213, + "ĠVampire": 61214, + "robots": 61215, + ".CreateIndex": 61216, + "StatusLabel": 61217, + "Ġtucked": 61218, + "afür": 61219, + "Ut": 61220, + "Ġsweater": 61221, + "_FN": 61222, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĉ": 61223, + "ataka": 61224, + "Ġeyebrows": 61225, + "acoes": 61226, + "uden": 61227, + ".LinearLayoutManager": 61228, + "Ġsway": 61229, + "Ġmultin": 61230, + "())))Ċ": 61231, + "ĠNSUInteger": 61232, + "ĠMyBase": 61233, + "Partner": 61234, + "utschen": 61235, + "ĠCater": 61236, + ".setBackgroundColor": 61237, + "Ġaccomplishment": 61238, + "_problem": 61239, + ".dtd": 61240, + "ĠpageNumber": 61241, + "Ġjackets": 61242, + "Ġcropped": 61243, + "uels": 61244, + "ĠHep": 61245, + "Ġcapped": 61246, + "*Math": 61247, + "_callbacks": 61248, + "Ġpubb": 61249, + "ĠBrunswick": 61250, + ".respond": 61251, + "[\"_": 61252, + "Ġbedding": 61253, + "hythm": 61254, + "OX": 61255, + "(speed": 61256, + "Ġpesticides": 61257, + "Ġ-------": 61258, + ".Blue": 61259, + "Ġnoodles": 61260, + "ĠGoes": 61261, + "Ġsaver": 61262, + "oxy": 61263, + "_completion": 61264, + "ĠSwinger": 61265, + "ĠgetDate": 61266, + "Ġminded": 61267, + "integration": 61268, + "ĠLotus": 61269, + "(stop": 61270, + "(',');Ċ": 61271, + "Ġfloods": 61272, + "ĠWorkflow": 61273, + "Ġerupted": 61274, + "Macro": 61275, + "ĠSauce": 61276, + "ĠeventName": 61277, + "\\Input": 61278, + "Breaking": 61279, + "ĉwhen": 61280, + "_pw": 61281, + "INDER": 61282, + "ĠWellness": 61283, + "Ġvoxel": 61284, + "ĠMell": 61285, + "ĠMEDIA": 61286, + "SENS": 61287, + "ĠFunds": 61288, + "ĠMild": 61289, + "Ċ": 61298, + "Ġtempting": 61299, + "Ġtestament": 61300, + "Ġbible": 61301, + "Ġconsulted": 61302, + "ĠIndexError": 61303, + "è¨ĺ": 61304, + "Ġkeypad": 61305, + "izzo": 61306, + "(ok": 61307, + "Ġwhatsapp": 61308, + "ĠRemoteException": 61309, + "Ġteamed": 61310, + "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ": 61311, + "»,": 61312, + "ĠgetTime": 61313, + "diag": 61314, + "issy": 61315, + "Ġhed": 61316, + "Ġknots": 61317, + "jom": 61318, + "Ġfunnel": 61319, + "-mails": 61320, + "Ġexporting": 61321, + "ĠVL": 61322, + "ĠKarn": 61323, + "ĠBuddhism": 61324, + "ĠAllan": 61325, + "_RADIUS": 61326, + "Ġwording": 61327, + "ĠForget": 61328, + "ĠCorona": 61329, + "iphy": 61330, + "Ġlimburg": 61331, + "uggy": 61332, + "ĠUserRepository": 61333, + "imin": 61334, + "(ele": 61335, + "Ġlabelled": 61336, + "社": 61337, + "ĠHerman": 61338, + ".qq": 61339, + "Ġ\"));Ċ": 61340, + "ieber": 61341, + ".Translate": 61342, + "ryn": 61343, + "Ġdesenv": 61344, + "umd": 61345, + "Simply": 61346, + "ĉmode": 61347, + "Rpc": 61348, + "ĠValencia": 61349, + "Ġstaffers": 61350, + "Ġselv": 61351, + "ĠSpike": 61352, + "Ġdelic": 61353, + "Ġeru": 61354, + "_DT": 61355, + "Judge": 61356, + "á»ķ": 61357, + "ĠBasin": 61358, + ".mutable": 61359, + "\"url": 61360, + "Ġtariff": 61361, + "ĠSleeve": 61362, + "Ġflare": 61363, + ".dropout": 61364, + "Ġbrides": 61365, + ")),čĊ": 61366, + "_constraints": 61367, + "destruct": 61368, + "Outline": 61369, + "Ġdisappears": 61370, + "_locked": 61371, + "ĠNSLocalizedString": 61372, + "cke": 61373, + "ĉnull": 61374, + "adresse": 61375, + "Ġtopping": 61376, + "ĠJoker": 61377, + "bishop": 61378, + "ноÑģÑĤÑĮ": 61379, + "andering": 61380, + "_amp": 61381, + "=time": 61382, + "_Space": 61383, + "_PULL": 61384, + "'=": 61385, + "Ġantiqu": 61386, + "Ġcach": 61387, + "___ĊĊ": 61388, + "ONES": 61389, + "оÑı": 61390, + "Ġunread": 61391, + ".policy": 61392, + "oooooooo": 61393, + "룬": 61394, + "Ġusted": 61395, + "ĠRece": 61396, + "Ġallem": 61397, + "ãĥ¼ãĤ¹": 61398, + "ĠThoughts": 61399, + "veillance": 61400, + "istrate": 61401, + "_lane": 61402, + "Ġfamed": 61403, + ".GetName": 61404, + "Ġsmoother": 61405, + "ĠQualified": 61406, + "azers": 61407, + "_geo": 61408, + "Fax": 61409, + "ĠMinds": 61410, + "ĠRaises": 61411, + "Ġtranscripts": 61412, + "Conversation": 61413, + "Ġremarked": 61414, + "ëĤĺ": 61415, + "dling": 61416, + "Ġdeploying": 61417, + "ĠsharedApplication": 61418, + "Ġkp": 61419, + "FontAwesomeIcon": 61420, + "_dummy": 61421, + "reiben": 61422, + "ĠJaneiro": 61423, + "Directions": 61424, + ".getBean": 61425, + "sass": 61426, + "Ġcommanders": 61427, + "vation": 61428, + "errorCode": 61429, + "ĠAlloy": 61430, + ".localized": 61431, + "Ðij": 61432, + "Ġdishwasher": 61433, + "ĠSoup": 61434, + "Nu": 61435, + "_Default": 61436, + "Ġuneven": 61437, + "Ġ/>\";Ċ": 61438, + "-Based": 61439, + "Ġseamlessly": 61440, + "-null": 61441, + "ĠXC": 61442, + "Ġstew": 61443, + "(delay": 61444, + "ATORS": 61445, + "ĠWheeler": 61446, + "\"H": 61600, + "east": 61601, + ".air": 61602, + "âĢľBut": 61603, + "ObjectContext": 61604, + "successfully": 61605, + "_land": 61606, + "Ġfolds": 61607, + "_COORD": 61608, + "Ġsubpo": 61609, + ".getAddress": 61610, + "instr": 61611, + "Materials": 61612, + "ÑĥÑģÑĤ": 61613, + "deposit": 61614, + "-last": 61615, + "_GRAY": 61616, + "=find": 61617, + "Ġmutant": 61618, + "Ġlesbienne": 61619, + "letcher": 61620, + "ROUGH": 61621, + "ureka": 61622, + ".capture": 61623, + "Ġenn": 61624, + "Ġ([[": 61625, + "ĠFlu": 61626, + "ĠtaskId": 61627, + "ĠHussein": 61628, + ".folder": 61629, + "Ġausterity": 61630, + "ISTRATION": 61631, + "_Impl": 61632, + "注æĦı": 61633, + "Ġdecree": 61634, + "-chat": 61635, + "Ġimplication": 61636, + "Ġguesses": 61637, + "ulkan": 61638, + "Analytics": 61639, + ".plus": 61640, + "COMMAND": 61641, + "ели": 61642, + "»ĊĊ": 61643, + "_SITE": 61644, + "ĠequalTo": 61645, + "SupportFragmentManager": 61646, + "ĠRecording": 61647, + "å®ĮæĪIJ": 61648, + "Ġbaggage": 61649, + "Ġpitchers": 61650, + "ĠEh": 61651, + "oque": 61652, + "ĉcnt": 61653, + "Ġ=>$": 61654, + "/foo": 61655, + "IRA": 61656, + "ĠSatellite": 61657, + "borah": 61658, + "Ġ}}\"Ċ": 61659, + "ĠEnds": 61660, + "ĠSpray": 61661, + ",param": 61662, + ".Chrome": 61663, + "*q": 61664, + "thought": 61665, + "ibrated": 61666, + "Ġthieves": 61667, + "Ġbeneficiaries": 61668, + "Entered": 61669, + "ottesville": 61670, + "Ġveterin": 61671, + "ByID": 61672, + "quipe": 61673, + "umption": 61674, + "-unit": 61675, + "ExecutionContext": 61676, + "@s": 61677, + "ĠGiov": 61678, + ".ToolTip": 61679, + "_friend": 61680, + "(attributes": 61681, + "Ġdumping": 61682, + "ĠJC": 61683, + "_DOCUMENT": 61684, + "ĠArmour": 61685, + "(insert": 61686, + ".HorizontalAlignment": 61687, + "ĠQed": 61688, + "ãģĦãģ¾ãģĻ": 61689, + "/git": 61690, + "ĠYYYY": 61691, + "ĠCardiff": 61692, + "Ġapa": 61693, + "organic": 61694, + "ĠWhereas": 61695, + "ĠæĿ": 61696, + "ĠMia": 61697, + "Ġdemolition": 61698, + "Ġscars": 61699, + "Ġpai": 61700, + "Ġretries": 61701, + "Ġrq": 61702, + "ĠDenis": 61703, + "(Utils": 61704, + "Ġalleviate": 61705, + "ĠPIC": 61706, + "idue": 61707, + "Ġacknowledging": 61708, + "Ġ//////////////////////////////////": 61709, + "ç¡®å®ļ": 61710, + "Ä«": 61711, + "\\Json": 61712, + ".binary": 61713, + "Ġxtype": 61714, + "signals": 61715, + "ĠAppearance": 61716, + "&r": 61717, + "}s": 61718, + "Ci": 61719, + "ĠIllum": 61720, + "porate": 61721, + "hog": 61722, + "ĠindexOf": 61723, + "\\Command": 61724, + "_parallel": 61725, + "ĠSherlock": 61726, + "íĥ": 61727, + "Ġ\"\")čĊ": 61728, + "////////////////////////////////////////////////////////////////////////////////////////////////": 61729, + "Ġcriticize": 61730, + "ĠSoap": 61731, + "ĠMatcher": 61732, + "Ġgrilled": 61733, + "*T": 61734, + "Ġadore": 61735, + "ulling": 61736, + "Ġjedoch": 61737, + "_refs": 61738, + "leanup": 61739, + "ĠJAXB": 61740, + "Ġroses": 61741, + "ĠLiam": 61742, + "sizei": 61743, + "Ġgetchar": 61744, + "Ġtarde": 61745, + "-tooltip": 61746, + "Ġqualifier": 61747, + "ĠIntermediate": 61748, + "_Window": 61749, + "ĠMalta": 61750, + "Disconnect": 61751, + "ewhere": 61752, + "Campo": 61753, + "Ġirrational": 61754, + "ledo": 61755, + "ĠDN": 61756, + "ARGV": 61757, + "Ġoutro": 61758, + "Ġthirteen": 61759, + "Joseph": 61760, + "MAR": 61761, + "/gl": 61762, + "Jess": 61763, + "ĠPsychiat": 61764, + "ĠpaddingBottom": 61765, + "-loop": 61766, + "/fonts": 61767, + "_seen": 61768, + "Teams": 61769, + "ReactDOM": 61770, + "(man": 61771, + "(xpath": 61772, + ".getSimpleName": 61773, + ">(*": 61774, + "ĠPvt": 61775, + "Ġelders": 61776, + "Ġpies": 61777, + ".userAgent": 61778, + "-region": 61779, + "ĠGreeks": 61780, + "(fragment": 61781, + "stu": 61782, + "Ġcouncils": 61783, + "Ġstamina": 61784, + "ĠGoddess": 61785, + "西": 61786, + "Ġphilosophers": 61787, + "Ġpersone": 61788, + "ĠLose": 61789, + "ĠCLR": 61790, + "ĠDocs": 61791, + "Ġsoak": 61792, + "ĠHOLDER": 61793, + "Ġbells": 61794, + "hashCode": 61795, + "RATE": 61796, + "_WEIGHT": 61797, + "inous": 61798, + "endra": 61799, + "ophobic": 61800, + "Ġprose": 61801, + "Ġfinely": 61802, + "/oauth": 61803, + "(space": 61804, + "adge": 61805, + "ĠMama": 61806, + "ĠstringBuffer": 61807, + "Ġstint": 61808, + "Ġmisma": 61809, + "Ġvillains": 61810, + "ĠCrimea": 61811, + "Ġdiploma": 61812, + "ĠпоÑģл": 61813, + "ĠBea": 61814, + "(join": 61815, + "Ġíķ´": 61816, + "CHAT": 61817, + "pering": 61818, + "ĠCros": 61819, + "Ġmonkeys": 61820, + "Ġpreds": 61821, + "yla": 61822, + ",,,": 61823, + "Ġvibrator": 61824, + "ĠNU": 61825, + "åħĪ": 61826, + "fant": 61827, + "zet": 61828, + "Ġbietet": 61829, + "unft": 61830, + "sworth": 61831, + ".Flow": 61832, + "Ġpsyched": 61833, + "ĠContinental": 61834, + ">t": 61835, + "Ġquilt": 61836, + ".UP": 61837, + "Ġexpansive": 61838, + "Dispose": 61839, + "(language": 61840, + "Caps": 61841, + "_ZONE": 61842, + "Ġrecycle": 61843, + "ĠManaged": 61844, + "currentColor": 61845, + ".broadcast": 61846, + "signIn": 61847, + ".prom": 61848, + "llu": 61849, + "ueblo": 61850, + "Ġpunches": 61851, + "Ġautomat": 61852, + "Ġassigning": 61853, + "ĠcreateUser": 61854, + "ĠAllied": 61855, + "Ġconductor": 61856, + "Ĥ¨": 61857, + "Ġsaddle": 61858, + "Ġdni": 61859, + "omedical": 61860, + "-West": 61861, + "PositiveButton": 61862, + "Ġitalic": 61863, + "?[": 61864, + "(trigger": 61865, + "Ġelephants": 61866, + "\":\"\",\"": 61867, + "Ġcaliber": 61868, + "rafted": 61869, + "digits": 61870, + "Ġmarshal": 61871, + "milliseconds": 61872, + "markers": 61873, + "mom": 61874, + "/place": 61875, + "Ġholistic": 61876, + ":t": 61877, + "#,": 61878, + "Ġboto": 61879, + "Ġnausea": 61880, + "ĠShooting": 61881, + "itech": 61882, + "ĠtextStatus": 61883, + "())Ċ": 62104, + "ADDRESS": 62105, + "BST": 62106, + "etzt": 62107, + "ĠQgs": 62108, + "Sense": 62109, + "ExceptionHandler": 62110, + "ĠChu": 62111, + ".getOwnProperty": 62112, + "Ġexercised": 62113, + "iotic": 62114, + "ĠReleases": 62115, + "Ġpinterest": 62116, + "olie": 62117, + "isoft": 62118, + "Ġsequencing": 62119, + "Ġpadre": 62120, + "]));čĊ": 62121, + "(radius": 62122, + ".med": 62123, + "ainties": 62124, + ".ObjectModel": 62125, + "Ġemple": 62126, + "Ġseguro": 62127, + "Stars": 62128, + "Ġqualitative": 62129, + "lemn": 62130, + "á»±": 62131, + ">\").": 62132, + "Ġgx": 62133, + "-cert": 62134, + "ĠASTM": 62135, + "Ġfullname": 62136, + "Ġtelemetry": 62137, + "ĠCambodia": 62138, + "_ul": 62139, + "ĠClare": 62140, + "CUSTOM": 62141, + "QC": 62142, + "ĠUns": 62143, + "ĠHTTPS": 62144, + "ĠParkinson": 62145, + "ancybox": 62146, + "','.": 62147, + "Tue": 62148, + ".getLast": 62149, + "Ġabi": 62150, + "Äħd": 62151, + "Ast": 62152, + "ĠEditing": 62153, + ".Unity": 62154, + "jmp": 62155, + "Ġmats": 62156, + "ĠsharedPreferences": 62157, + "Captain": 62158, + ".pageSize": 62159, + "Ġrtl": 62160, + "Ġanmeld": 62161, + "RuntimeObject": 62162, + "Ġdemande": 62163, + "(\";": 62164, + "seite": 62165, + "-headed": 62166, + "ĠKra": 62167, + "ĠFONT": 62168, + "`\\": 62169, + "ClassNotFoundException": 62170, + ".avg": 62171, + "atical": 62172, + "Aj": 62173, + "Ġpermitting": 62174, + "Proj": 62175, + "ERRQ": 62176, + "Ġcreampie": 62177, + "ĠBuyer": 62178, + "-modules": 62179, + "ĠSundays": 62180, + "|`Ċ": 62181, + "Ġdaytime": 62182, + "Ġ+(": 62183, + "Ġglitch": 62184, + "ĠOperand": 62185, + "Ġtoxins": 62186, + "inya": 62187, + "DNS": 62188, + "ĠSas": 62189, + "Cake": 62190, + "ĠNationals": 62191, + ".addTo": 62192, + "Ġsinking": 62193, + "Ġcomprehension": 62194, + "Ġscor": 62195, + "agements": 62196, + "Ġtard": 62197, + "Ġmarching": 62198, + "ĠMTV": 62199, + "Ġsane": 62200, + "CreateInfo": 62201, + "ắ": 62202, + "ĠendIndex": 62203, + "ĉlayout": 62204, + "ĠåIJį": 62205, + "SITE": 62206, + "ĠTHERE": 62207, + "Ġ[{'": 62208, + "opathic": 62209, + "Ġtransmitter": 62210, + "/body": 62211, + "Ġpund": 62212, + "ĠClosing": 62213, + "Ġsetattr": 62214, + "Ġbounded": 62215, + "Atlas": 62216, + "suming": 62217, + "(times": 62218, + "parer": 62219, + "ynom": 62220, + "feit": 62221, + "Ġfrem": 62222, + "-leg": 62223, + "ĠBras": 62224, + ">#": 62225, + "Ġì¶ľëł¥": 62226, + "ĠINSTANCE": 62227, + "ĠCouch": 62228, + "_hosts": 62229, + "likelihood": 62230, + ".Marker": 62231, + "ĠMasks": 62232, + "Ġcereal": 62233, + "utilities": 62234, + "Ġelemental": 62235, + "Ġdistorted": 62236, + "inactive": 62237, + "cry": 62238, + "WL": 62239, + "UPPORTED": 62240, + ".Throws": 62241, + "/schema": 62242, + "serie": 62243, + ".\"',": 62244, + "ĠBenedict": 62245, + "-picker": 62246, + "iggs": 62247, + "ĠPirate": 62248, + "åij¨æľŁ": 62249, + "ĠThema": 62250, + "ĠSouthampton": 62251, + "ĠarrayWith": 62252, + "ĠPaula": 62253, + "Ġpredictor": 62254, + "-Ass": 62255, + ".userid": 62256, + "Ġperi": 62257, + "Ġexaggerated": 62258, + "urate": 62259, + "arseille": 62260, + "ĠConcent": 62261, + "ĠPik": 62262, + "Ġ@_;ĊĊ": 62263, + "Ġformations": 62264, + "Ġdenomin": 62265, + "\"/>.Ċ": 62266, + "endedor": 62267, + "Ġpancre": 62268, + "Ġamt": 62269, + "ĠonResume": 62270, + "onDelete": 62271, + "ĠBCH": 62272, + ")(\"": 62273, + "movement": 62274, + "Ġpotassium": 62275, + "": 70826, + "ĠPPC": 70827, + "isz": 70828, + "akeFromNib": 70829, + "ĠDisp": 70830, + "ĠAthletics": 70831, + "Ġnightclub": 70832, + "GOOD": 70833, + ".setGeometry": 70834, + "+[": 70835, + "/send": 70836, + "Ġbinaries": 70837, + "Ġráp": 70838, + ":req": 70839, + "-consuming": 70840, + "ertime": 70841, + "UPDATED": 70842, + "_nullable": 70843, + "VIN": 70844, + "ulia": 70845, + "cyan": 70846, + "Ġmisunderstanding": 70847, + "orical": 70848, + "degrees": 70849, + "Leading": 70850, + ".AR": 70851, + "ickest": 70852, + "Nuevo": 70853, + "uforia": 70854, + "Ġgoodies": 70855, + "Ġfores": 70856, + "()<<\"": 70857, + "ademic": 70858, + "ActionCreators": 70859, + "servername": 70860, + "(nt": 70861, + "dbContext": 70862, + "Ġairborne": 70863, + "Ġexhibitions": 70864, + "cele": 70865, + "Ġtela": 70866, + "": 70882, + ".setPreferredSize": 70883, + "ĠMID": 70884, + "ĠAless": 70885, + "Ġhorsepower": 70886, + "Ġatm": 70887, + "ĠPackaging": 70888, + "Ġciphertext": 70889, + "RequestMethod": 70890, + "Ġbeiden": 70891, + "è£": 70892, + "ĠPOW": 70893, + ".WriteHeader": 70894, + "director": 70895, + "-but": 70896, + "ãģłãģķãģĦ": 70897, + "incer": 70898, + "_dn": 70899, + "!!!!!": 70900, + "Ġmanufactures": 70901, + ".TextUtils": 70902, + "Ġconsciously": 70903, + "Ġbounced": 70904, + "culture": 70905, + "ĠSpar": 70906, + "ĠPiper": 70907, + ".press": 70908, + "-owner": 70909, + "Ġevaluator": 70910, + "ĠSTREAM": 70911, + ".PictureBoxSizeMode": 70912, + "Ġsugars": 70913, + "ScreenWidth": 70914, + "ĠnextState": 70915, + "Ġivory": 70916, + "Ġbrunch": 70917, + "density": 70918, + "_OW": 70919, + "ĠCoronavirus": 70920, + "ĠCFR": 70921, + "bak": 70922, + "\\Category": 70923, + "æķ°ç»Ħ": 70924, + "Ġinvokevirtual": 70925, + "}()Ċ": 70926, + "Ġsujet": 70927, + "-marker": 70928, + "isdigit": 70929, + "ĠMobil": 70930, + "ĠJsonRequestBehavior": 70931, + "_REMOTE": 70932, + ".existsSync": 70933, + "Ġriches": 70934, + ".presenter": 70935, + "ĠglColor": 70936, + "Ġhanya": 70937, + "Ġfortress": 70938, + "Ġflashed": 70939, + "viz": 70940, + "requently": 70941, + "buat": 70942, + "$con": 70943, + ">|": 70944, + ".Func": 70945, + "Ġhumorous": 70946, + "uem": 70947, + ".ZERO": 70948, + "ĠSTL": 70949, + "ĠBuk": 70950, + "/sample": 70951, + "ĠGros": 70952, + "Recipes": 70953, + "Ġinflated": 70954, + "Ġswung": 70955, + ":F": 70956, + "Facing": 70957, + ".Theme": 70958, + "ник": 70959, + "Ġsplendid": 70960, + "ĠrequestId": 70961, + ".CenterScreen": 70962, + "/autoload": 70963, + "embedded": 70964, + "_depart": 70965, + "ĠPorts": 70966, + "à¹ĥ": 70967, + "айд": 70968, + "discussion": 70969, + "_consum": 70970, + "Ġscouts": 70971, + "Ġcolabor": 70972, + ".Stage": 70973, + ".nano": 70974, + "eldorf": 70975, + "Ġgemacht": 70976, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 70977, + "Ġpolicymakers": 70978, + "_PKT": 70979, + ",Th": 70980, + "oky": 70981, + "_UID": 70982, + "Ping": 70983, + "Ġorchest": 70984, + "Ġoptics": 70985, + "uhan": 70986, + "ĠXOR": 70987, + "Ġespañol": 70988, + "ĠAdidas": 70989, + "rng": 70990, + "mans": 70991, + ".vstack": 70992, + "Ġgetaway": 70993, + "Ġhierarchical": 70994, + "anoia": 70995, + "ĠBitmapFactory": 70996, + "realm": 70997, + "ĉap": 70998, + "_apps": 70999, + "-divider": 71000, + ".drawer": 71001, + "ĠHARD": 71002, + "'];?>Ċ": 71003, + "-packed": 71004, + "æ²»": 71005, + "_STRUCTURE": 71006, + "[Y": 71007, + "iParam": 71008, + "(eq": 71009, + "Ġencompasses": 71010, + "Ġ\\ĊĊ": 71011, + "->[": 71012, + "&utm": 71013, + "groupon": 71014, + "strate": 71015, + "DY": 71016, + "omorphic": 71017, + "':[": 71018, + "Ġgravitational": 71019, + "ĠMicha": 71020, + "ĠTencent": 71021, + "Ġcoached": 71022, + "ì¶ľ": 71023, + "ÑĥменÑĤ": 71024, + "/mobile": 71025, + "MouseDown": 71026, + "bud": 71027, + "ĠYas": 71028, + "ĠProviders": 71029, + "NZ": 71030, + "ĉreport": 71031, + "errmsg": 71032, + "ĠimagePath": 71033, + "acterial": 71034, + "ĠManga": 71035, + "wicklung": 71036, + "(usuario": 71037, + "\"));čĊčĊ": 71038, + "/***": 71039, + "Ġorganise": 71040, + "Indexed": 71041, + "_QUAL": 71042, + "(PyObject": 71043, + "Ġsurrendered": 71044, + "POCH": 71045, + "ĠNOTES": 71046, + "\\\\\"": 71047, + "-job": 71048, + "Ġseventy": 71049, + "####Ċ": 71050, + "ĠManor": 71051, + "Ġdownright": 71052, + "Ġtimeframe": 71053, + "insurance": 71054, + "checker": 71055, + "ĠSECRET": 71056, + "Ġechoes": 71057, + "ĠCarmen": 71058, + ".setHorizontalAlignment": 71059, + "ĠisChecked": 71060, + "ĠTOR": 71061, + "_nn": 71062, + "('(": 71063, + "FetchRequest": 71064, + "ĠPrinted": 71065, + "Fluid": 71066, + "ĠSTACK": 71067, + "GES": 71068, + "aigned": 71069, + "igor": 71070, + ".Unknown": 71071, + "CBC": 71072, + "ĠCarlson": 71073, + ".URI": 71074, + "Ġplight": 71075, + "/start": 71076, + "ĠPersonnel": 71077, + "ĠPREFIX": 71078, + ",**": 71079, + "Ġlimite": 71080, + "_heat": 71081, + "%ï¼Į": 71082, + "ĠDonne": 71083, + "getNode": 71084, + "ĠScientology": 71085, + "Ġcomet": 71086, + "Ġwenig": 71087, + "Aside": 71088, + "ĠMPEG": 71089, + "'?": 71090, + "variably": 71091, + ".endDate": 71092, + "Ġuncont": 71093, + "ĠScores": 71094, + "ĠLoginForm": 71095, + ".generated": 71096, + ",ch": 71097, + "-mar": 71098, + "ĠNed": 71099, + "ĠeventId": 71100, + "+p": 71101, + "ĠSIN": 71102, + "/reset": 71103, + ".REACT": 71104, + "ĠMessi": 71105, + "_RANK": 71106, + ".writeFile": 71107, + "Ġcripp": 71108, + "esthetic": 71109, + "ERSIST": 71110, + "Ġreimbursement": 71111, + "CurrentValue": 71112, + "Ġunin": 71113, + "DownLatch": 71114, + "ĠpaddingRight": 71115, + "Ġstocked": 71116, + "/'.": 71117, + "Ġrepayment": 71118, + "trak": 71119, + "/backend": 71120, + "Ġизмен": 71121, + "CSR": 71122, + "Ġpreventive": 71123, + "Ġpantalla": 71124, + "_trim": 71125, + "Pedido": 71126, + "hospital": 71127, + "Ġmanageable": 71128, + "routeParams": 71129, + "textures": 71130, + "......ĊĊ": 71131, + "Ġsélection": 71132, + "NameValuePair": 71133, + "Ġpollut": 71134, + "Modes": 71135, + "ĠLaud": 71136, + "jay": 71137, + "ĠUrs": 71138, + "Ġsigner": 71139, + "ĠJJ": 71140, + "ĠCherokee": 71141, + "_EXISTS": 71142, + "Ġdwar": 71143, + "Ġ($('#": 71144, + "Ġreef": 71145, + ">{$": 71146, + "ĠBaylor": 71147, + "ĠModelState": 71148, + "-_": 71149, + "ĠStructures": 71150, + "Ġsouvent": 71151, + "Specify": 71152, + "(pipe": 71153, + "Ġfracking": 71154, + "ĠGPA": 71155, + "Ġbele": 71156, + "ĉĉĉĉĉĉĉĠĠĠ": 71157, + "ĠMinority": 71158, + "Ġtud": 71159, + "Ġopenness": 71160, + "ĠIllustrated": 71161, + "Ġoxidation": 71162, + "ĠNK": 71163, + "ĉUpdate": 71164, + "ĠEMS": 71165, + "ĠTeddy": 71166, + "Ġgenerals": 71167, + "ĉMat": 71168, + "Ġradios": 71169, + "ĠAntique": 71170, + "conomy": 71171, + "ĠSquadron": 71172, + ")','": 71173, + "声": 71174, + "Ġyoure": 71175, + "ĠMainPage": 71176, + "Ġbehaviours": 71177, + "enght": 71178, + "(@\"%@\",": 71179, + "Ġtestcase": 71180, + "ĠCompilation": 71181, + "Ġflavours": 71182, + "ĠExtend": 71183, + "illator": 71184, + "Ġcoh": 71185, + "Ġspline": 71186, + "ĠKG": 71187, + "-pay": 71188, + "Ġcommunism": 71189, + "ĠBusinesses": 71190, + "ocking": 71191, + ".MaxLength": 71192, + "assandra": 71193, + "quiring": 71194, + "adden": 71195, + "ĠJeb": 71196, + "_fault": 71197, + "[file": 71198, + "Ġprominence": 71199, + "disciplinary": 71200, + "âĢĶthey": 71201, + "_extent": 71202, + "ĠVIC": 71203, + "Ġentails": 71204, + ".partner": 71205, + "Ġhippoc": 71206, + "League": 71207, + "çĶ·": 71208, + "wipe": 71209, + "-spinner": 71210, + "Ġsalute": 71211, + "ĠSurgical": 71212, + "(outputs": 71213, + "worked": 71214, + "[strlen": 71215, + "appointed": 71216, + "ĠHeg": 71217, + "ĠACPI": 71218, + "([^": 71219, + "uala": 71220, + "_tol": 71221, + "ĠRit": 71222, + ".Payment": 71223, + "kowski": 71224, + "Ġwalmart": 71225, + "requirements": 71226, + "ĠFINSEQ": 71227, + "_BACKGROUND": 71228, + "ĠOsborne": 71229, + "(errorMessage": 71230, + "Reporting": 71231, + "Ġauctions": 71232, + "Ġcombos": 71233, + "ĠNoticed": 71234, + "_oct": 71235, + "Ġprimero": 71236, + "taire": 71237, + "_hr": 71238, + "Ġмод": 71239, + "Ġcontradictory": 71240, + "=\"@": 71241, + "achines": 71242, + "(optarg": 71243, + "ĠPenguin": 71244, + "ĠAbbas": 71245, + "Ġsublime": 71246, + "Ġpageable": 71247, + "ĠDefensive": 71248, + "Ġdistinctly": 71249, + "ĠAutomatically": 71250, + "Understanding": 71251, + "EqualityComparer": 71252, + "gota": 71253, + "Ġ\"::": 71254, + "Ġpulver": 71255, + "ĠBattles": 71256, + "Ġunparalleled": 71257, + "TCHA": 71258, + "Ġconstrued": 71259, + "-aff": 71260, + "Ġprecursor": 71261, + "-lfs": 71262, + "Ġmaduras": 71263, + "ĠDaisy": 71264, + "ĠArbeits": 71265, + ".Management": 71266, + "ĉIn": 71267, + "Ġrobes": 71268, + "Ġspéc": 71269, + "âĢľ(": 71270, + "Ġmaternity": 71271, + "extent": 71272, + "ĠSpacer": 71273, + "DidAppear": 71274, + "ĉus": 71275, + ".getRequestDispatcher": 71276, + "(cols": 71277, + "Ġplummet": 71278, + "ìħ": 71279, + "Ġ{ĊĊĊĊ": 71280, + "érica": 71281, + "ĠSizes": 71282, + ".enum": 71283, + ".Highlight": 71284, + "Ġ!!}ĊĊĊ": 71293, + "Wenn": 71294, + "Ġclimax": 71295, + "Ġcrem": 71296, + "_that": 71297, + "[âĢ¦": 71298, + "_domains": 71299, + "_REPLY": 71300, + "Ġcompleta": 71301, + "VEST": 71302, + "_particle": 71303, + "Ġsop": 71304, + "Ġfatalities": 71305, + "implify": 71306, + "ĠSKF": 71307, + "Ġinfusion": 71308, + "ĠJavier": 71309, + "Ġballet": 71310, + "Ġamigo": 71311, + ".want": 71312, + "Ġcollagen": 71313, + "ĠLawyer": 71314, + ".Statement": 71315, + ".rt": 71316, + "baar": 71317, + "EndPoint": 71318, + "ĠBek": 71319, + "SHIP": 71320, + "Ġpatriarch": 71321, + "ĠAunt": 71322, + "_TM": 71323, + "ĠmÃŃn": 71324, + "Ġmastered": 71325, + "WXYZ": 71326, + "Ġespos": 71327, + "=logging": 71328, + "Ġrighteousness": 71329, + "torrent": 71330, + "Ġbst": 71331, + "_CHAIN": 71332, + "Ġoutskirts": 71333, + "(rotation": 71334, + "Ġ'.')": 71335, + "igrants": 71336, + "+lsi": 71337, + "ĠCCTV": 71338, + "_PHASE": 71339, + ".azure": 71340, + "_Process": 71341, + "vae": 71342, + "ĠTropical": 71343, + "ĠAnkara": 71344, + "imageView": 71345, + "_RUNNING": 71346, + "Ġ*)__": 71347, + "ến": 71348, + "(cli": 71349, + "scatter": 71350, + "Ġsche": 71351, + "Registrar": 71352, + "Ġairing": 71353, + "Ġpyplot": 71354, + "isión": 71355, + "/customer": 71356, + "Ġsimplement": 71357, + "Ġclassy": 71358, + "ĠDWC": 71359, + "ĠBashar": 71360, + "ĠDEVELO": 71361, + "ĠVick": 71362, + "avail": 71363, + "ĠHö": 71364, + "_extend": 71365, + "drFc": 71366, + ".isNotBlank": 71367, + "Ġplais": 71368, + "|}Ċ": 71369, + "Ġpornofil": 71370, + "labs": 71371, + "Ġhaus": 71372, + "Ġoriginating": 71373, + "Ġsurrounds": 71374, + "ĠQUAL": 71375, + "meg": 71376, + "/logger": 71377, + "[obj": 71378, + "Ġirresponsible": 71379, + "ĠPublicKey": 71380, + "HONE": 71381, + ":'/": 71382, + "ibox": 71383, + "ĠFVector": 71384, + "|{Ċ": 71385, + "ataloader": 71386, + "hawks": 71387, + "HDR": 71388, + "Ġescalation": 71389, + "ĠPodsDummy": 71390, + "elite": 71391, + "Ġpresup": 71392, + "Cached": 71393, + ">G": 71394, + ".optimizer": 71395, + "ĠVisible": 71396, + "´Ģ": 71397, + "Ġnen": 71398, + "Ġpcs": 71399, + "ĠIdle": 71400, + "[Any": 71401, + "Ġkeyboards": 71402, + "ĠCOMPONENT": 71403, + "Ġtitanium": 71404, + "(mut": 71405, + "ĠLedger": 71406, + "Ġprosperous": 71407, + "etrofit": 71408, + "_LL": 71409, + "_patient": 71410, + "Ġpdata": 71411, + "Ġkontakte": 71412, + "Swipe": 71413, + "Ġcheerful": 71414, + "ĠHonduras": 71415, + "\"][$": 71416, + "Ġhemorrh": 71417, + "\":\"+": 71418, + "Ġleasing": 71419, + "Ġinstalls": 71420, + "ĠPax": 71421, + "ĠLogistics": 71422, + "Ġkinetic": 71423, + "ĠPhon": 71424, + "_movement": 71425, + "ĉbytes": 71426, + "Ġcinco": 71427, + "ĠMadness": 71428, + "\")+": 71429, + "ĠJE": 71430, + "_ij": 71431, + "SceneManager": 71432, + "ĠBust": 71433, + "ptest": 71434, + "aea": 71435, + "Ġbesser": 71436, + "ÃŃg": 71437, + "дин": 71438, + "(tasks": 71439, + "(\"(\"": 71440, + "setType": 71441, + "(outfile": 71442, + "ĉreset": 71443, + "ĠARC": 71444, + "Ġmúsica": 71445, + "ĠShelf": 71446, + "ĠminY": 71447, + "pch": 71448, + "Ġweiber": 71449, + "issor": 71450, + "Ġtrouve": 71451, + "ĉButton": 71452, + "Ġregenerated": 71453, + "Å£i": 71454, + "imachinery": 71455, + "blocking": 71456, + ".dataTables": 71457, + "_frac": 71458, + "ĠAdvantage": 71459, + ".visitMethod": 71460, + "éĩįæĸ°": 71461, + "Ġextrapol": 71462, + "Ġteasing": 71463, + "ĠHitch": 71464, + "ĠGeek": 71465, + "ESCO": 71466, + "Ġwich": 71467, + "ĉax": 71468, + "_decor": 71469, + "ĠscreenWidth": 71470, + "ĠSophia": 71471, + "Forgot": 71472, + ".uni": 71473, + "ĠVenture": 71474, + "_collision": 71475, + "Ġlawmaker": 71476, + "(Edit": 71477, + "blers": 71478, + "ĠgetNext": 71479, + "âĢĶyou": 71480, + "MediaPlayer": 71481, + "ĠHorde": 71482, + "ĠCongressman": 71483, + "observations": 71484, + "ĉproperty": 71485, + "Ġ<--": 71486, + "CreatedAt": 71487, + "ubyte": 71488, + "Ġquarantine": 71489, + "Ġdistressed": 71490, + "_APB": 71491, + "ĠGoodman": 71492, + "ãĤ«": 71493, + "Ġrecomend": 71494, + "_PRINTF": 71495, + "DONE": 71496, + "Bindable": 71497, + "rstrip": 71498, + "centaje": 71499, + "ĠUnexpected": 71500, + "ĠSCHOOL": 71501, + "ĠProfessionals": 71502, + "ĠGPUs": 71503, + "Lesson": 71504, + "Exclusive": 71505, + "Ġatrav": 71506, + "ĠDank": 71507, + "ĠLawyers": 71508, + "ĠWalton": 71509, + ">[]": 71510, + "Ġaloud": 71511, + "=\"../../../": 71512, + "Ġdebating": 71513, + "ĠAVG": 71514, + "_VOL": 71515, + "/cgi": 71516, + ".deg": 71517, + ":g": 71518, + ".Infof": 71519, + "MeasureSpec": 71520, + ".song": 71521, + "mtree": 71522, + "ulls": 71523, + "Jordan": 71524, + "ĠCovers": 71525, + "Ġattributable": 71526, + "Ġjedis": 71527, + "iatrics": 71528, + "Ġrotterdam": 71529, + "Ġmeld": 71530, + "ĠContentType": 71531, + "Ġmantle": 71532, + "Ġalice": 71533, + "_duplicate": 71534, + "/Internal": 71535, + "Ġfilesize": 71536, + "ĉfire": 71537, + "rese": 71538, + "ondere": 71539, + "Ġfamiliarity": 71540, + "ĠCrest": 71541, + "Ġkarma": 71542, + "Ġtorino": 71543, + "Ġmesa": 71544, + "/temp": 71545, + "Ġchir": 71546, + "ĠOverflow": 71547, + "Ġtenemos": 71548, + "unik": 71549, + "NEXT": 71550, + "Alle": 71551, + "Ġnxt": 71552, + "Mart": 71553, + "Ġatl": 71554, + "Ġperiodo": 71555, + "_you": 71556, + "Ġ})).": 71557, + "intestinal": 71558, + ".AdapterView": 71559, + "Ġhesitant": 71560, + "Ġcomparatively": 71561, + ".UInt": 71562, + "(viewModel": 71563, + "Ġsangat": 71564, + "ĠResponsive": 71565, + "ĠZack": 71566, + "âħ": 71567, + "JAVA": 71568, + "ĠFuller": 71569, + "ĠâĿ¤": 71570, + ".Consumer": 71571, + "Ġank": 71572, + "Ġreactors": 71573, + "fuck": 71574, + "_rat": 71575, + "ĠsessionFactory": 71576, + "_backward": 71577, + "Ġscrambled": 71578, + "ĉth": 71579, + "Ġinsensitive": 71580, + "Ġchamps": 71581, + "Ġnginx": 71582, + "Ġconhec": 71583, + "ĠJasper": 71584, + ".fm": 71585, + "StrictEqual": 71586, + "achsen": 71587, + "-Nov": 71588, + "lassen": 71589, + ".integration": 71590, + "(lbl": 71591, + "Compose": 71592, + "ĠFon": 71593, + "Ãļ": 71594, + "Gratis": 71595, + "ĠLime": 71596, + "ĠAdapterView": 71597, + "Ġpoisoned": 71598, + "anchors": 71599, + "设计": 71600, + "']?>\"": 71601, + "Ġprocur": 71602, + "Italy": 71603, + ".MONTH": 71604, + "ĠLUA": 71605, + "ĠLithuania": 71606, + "ĠHeads": 71607, + "_CHUNK": 71608, + "ĠPUSH": 71609, + "AspectRatio": 71610, + "Ġweg": 71611, + "Ġvids": 71612, + "ĠWein": 71613, + "ĉINT": 71614, + "sessionId": 71615, + "Industry": 71616, + "Ġdenounced": 71617, + "JKLM": 71618, + "ĠVanessa": 71619, + ".Identifier": 71620, + "propri": 71621, + "Ġиг": 71622, + "Ġtécn": 71623, + "Ġmosaic": 71624, + "StreamReader": 71625, + "-Th": 71626, + "forth": 71627, + "Ġadherence": 71628, + "bate": 71629, + "Ġknights": 71630, + "sounds": 71631, + "Ġsalle": 71632, + "OMET": 71633, + "ãĤ¹ãĥĪ": 71634, + "-tm": 71635, + "ĠRhe": 71636, + ".FileOutputStream": 71637, + "åĪĨç±»": 71638, + "ĠENG": 71639, + "holiday": 71640, + "ĠCongratulations": 71641, + ")(Ċ": 71642, + "Ġaggregates": 71643, + "HOOK": 71644, + "ewire": 71645, + "Senator": 71646, + "Ġembeddings": 71647, + "epy": 71648, + "(COM": 71649, + "Ġrobber": 71650, + "äter": 71651, + "wang": 71652, + "_teacher": 71653, + "Ġresentment": 71654, + "Ġlettuce": 71655, + "erreur": 71656, + "(ic": 71657, + "ĠTactical": 71658, + "ĠContracts": 71659, + "Ġmænd": 71660, + "Ġsitios": 71661, + "Ġbastante": 71662, + "Ġnuevos": 71663, + "ĉNdrFc": 71664, + "ĠprivateKey": 71665, + "ucch": 71666, + "MMdd": 71667, + "Ġè¾ĵåĩº": 71668, + "umba": 71669, + "@foreach": 71670, + ":\");ĊĊ": 71671, + "Ġslippery": 71672, + "ĠKeystone": 71673, + "Ġpioneering": 71674, + "_triangle": 71675, + "(\"Ċ": 71676, + "ĉĉĉĉĉĉĉĉĠĠ": 71677, + "ĠIntervention": 71678, + "SCI": 71679, + "ĠcJSON": 71680, + "Ġterminating": 71681, + "ë¹Ħ": 71682, + "Ġbabys": 71683, + "Subset": 71684, + "Ġë¡": 71685, + "Ġseulement": 71686, + "Ġmuestra": 71687, + "Entre": 71688, + "以ä¸Ĭ": 71689, + "ngo": 71690, + "\"bytes": 71691, + "QRST": 71692, + "Ġypos": 71693, + "persona": 71694, + "ĠDeploy": 71695, + "cee": 71696, + "Ġà®": 71697, + ".goal": 71698, + "Ġhabitats": 71699, + "ĠisAdmin": 71700, + "Ġexploiting": 71701, + "Ġventil": 71702, + "ĠBalls": 71703, + "اب": 71704, + "Ġmindfulness": 71705, + "(kwargs": 71706, + "Ġresembling": 71707, + "Ġchoir": 71708, + "ĠonBackPressed": 71709, + "ĠSECURITY": 71710, + "/gtest": 71711, + "Ġjustices": 71712, + "ĠintegerValue": 71713, + "blah": 71714, + "ĠAim": 71715, + "_finalize": 71716, + "keh": 71717, + "ĠComplexity": 71718, + "Ġaugust": 71719, + "getElementsByTagName": 71720, + "Ġpreach": 71721, + "Ġpronunciation": 71722, + "ĠTrash": 71723, + "-percent": 71724, + "_PRIV": 71725, + "ĠHunts": 71726, + "ĠCurse": 71727, + "uellen": 71728, + "Ġheavyweight": 71729, + "Xi": 71730, + "ĉselected": 71731, + "ĠMcCoy": 71732, + "å¼Ĥ常": 71733, + "|=Ċ": 71734, + "ĠBattlefield": 71735, + "ItemImage": 71736, + "Ġdeductions": 71737, + "ĠElemental": 71738, + "());//": 71739, + "ĠBurk": 71740, + "})čĊčĊ": 71741, + "swift": 71742, + "/function": 71743, + "Usually": 71744, + "_St": 71745, + "_feats": 71746, + "ĠIsValid": 71747, + "Ġzad": 71748, + "ImageContext": 71749, + "Ġclassname": 71750, + "Ġdonner": 71751, + "Ġ-->ĊĊĊ": 71752, + "Ġmotorcycles": 71753, + "+'/'+": 71754, + "ĠsetBackground": 71755, + "\\CMS": 71756, + ".AllArgsConstructor": 71757, + "ĠLexington": 71758, + ".examples": 71759, + "ĠPurs": 71760, + "PushMatrix": 71761, + "Ġ==============================================================": 71762, + ".addTarget": 71763, + "pora": 71764, + "Fullscreen": 71765, + "Ġgoof": 71766, + "hlen": 71767, + "äge": 71768, + "ĠCURL": 71769, + "ĠInteresting": 71770, + "Ġretrieves": 71771, + "_Obj": 71772, + "inness": 71773, + "-----ĊĊ": 71774, + ".tsv": 71775, + "(IM": 71776, + "ĠBraves": 71777, + "_ISR": 71778, + "osti": 71779, + "á»ĵ": 71780, + "ĠExterior": 71781, + "ĠCourtney": 71782, + "Ġresidues": 71783, + "Tier": 71784, + ".*;čĊčĊ": 71785, + ":black": 71786, + "webView": 71787, + "\"path": 71788, + "Ġmasa": 71789, + "]!='": 71790, + "ĠMatching": 71791, + "dur": 71792, + "Jvm": 71793, + "=context": 71794, + "_RING": 71795, + "Ġproponents": 71796, + "ĠQStringLiteral": 71797, + "Ġinflate": 71798, + "\">čĊ": 72031, + "_COST": 72032, + "ilinear": 72033, + "ĠWorkspace": 72034, + "Ġspel": 72035, + "agogue": 72036, + "ĠMillennium": 72037, + "ĠPopulate": 72038, + "Ġnid": 72039, + ".parseColor": 72040, + "Solar": 72041, + "ĠGad": 72042, + "Ġì¤ij": 72043, + "ĠKamp": 72044, + "ĉrm": 72045, + "Ġbenz": 72046, + "ĠHonestly": 72047, + "Ġelectrode": 72048, + "ĠPrairie": 72049, + "ĠPROFILE": 72050, + "ĠOriental": 72051, + "ĠOLED": 72052, + "/copyleft": 72053, + "awaii": 72054, + "(products": 72055, + ")\\<": 72056, + "-created": 72057, + ".ManyToMany": 72058, + "\"How": 72059, + "ĠвÑĭп": 72060, + "Ġmitochondrial": 72061, + "_testing": 72062, + "(created": 72063, + "ĠgetField": 72064, + "_EVAL": 72065, + "].\"": 72066, + "ĠFSM": 72067, + "ĠRita": 72068, + "ĠåıĤæķ°": 72069, + "Ġcôt": 72070, + "ĠInsight": 72071, + "ĉmysqli": 72072, + "_timing": 72073, + "IDO": 72074, + ")))))Ċ": 72075, + "COVERY": 72076, + ".imag": 72077, + "CDF": 72078, + "lust": 72079, + "ickt": 72080, + "_FP": 72081, + ".','": 72082, + "gcc": 72083, + "Ġkurz": 72084, + "_pwm": 72085, + "Ġodpowied": 72086, + "ĠBarrier": 72087, + "/***************************************************************************Ċ": 72088, + "pak": 72089, + "-Israel": 72090, + "ĠRutgers": 72091, + "ĠselectedItem": 72092, + "ĠRamirez": 72093, + "Farm": 72094, + "Ġcalendars": 72095, + "gzip": 72096, + "Ġblockbuster": 72097, + "ĠPlymouth": 72098, + "çľĮ": 72099, + "responses": 72100, + ".DialogInterface": 72101, + "-grand": 72102, + "ĠgetSource": 72103, + "Ġdejtings": 72104, + "Ġtieten": 72105, + "Ġcondemnation": 72106, + "Ġcontinuar": 72107, + ".MockMvc": 72108, + "/english": 72109, + "ĠMediaPlayer": 72110, + "computed": 72111, + "ĠClippers": 72112, + "(delegate": 72113, + ".Slf": 72114, + "Ġë¡ľ": 72115, + "ĠTide": 72116, + "Ġihrem": 72117, + "ĠWan": 72118, + "ÑĥÑİÑī": 72119, + "}><": 72120, + "Discussion": 72121, + "Ġwatts": 72122, + "-minus": 72123, + "ĠJuliet": 72124, + "éĽħ": 72125, + "Ġconcluding": 72126, + "andscape": 72127, + "Ġúltima": 72128, + "ĠDERP": 72129, + "ĠsignUp": 72130, + "ĠSecondly": 72131, + "WAIT": 72132, + "lds": 72133, + ".callbacks": 72134, + "(hour": 72135, + "imators": 72136, + "volent": 72137, + "AAF": 72138, + "edriver": 72139, + "ĠMathematic": 72140, + "'": 72142, + "{j": 72143, + "_ABORT": 72144, + "Ether": 72145, + "Ġeducator": 72146, + "Ġprecaution": 72147, + "Ġfingertips": 72148, + "getVar": 72149, + "camatan": 72150, + "-debug": 72151, + "ĠRAF": 72152, + "[arg": 72153, + "Ġraced": 72154, + "Ġtsunami": 72155, + ".flink": 72156, + "Ġglyc": 72157, + "uko": 72158, + "ĠMultiply": 72159, + "Ġredistribution": 72160, + "AGO": 72161, + "ĠRoutine": 72162, + "Ġopr": 72163, + "(lower": 72164, + "ĠFunktion": 72165, + ".dk": 72166, + "Ġegt": 72167, + "_BASIC": 72168, + "syscall": 72169, + "ĠLSD": 72170, + "ĠDuplicate": 72171, + "_sell": 72172, + "ĠerrorHandler": 72173, + "_ips": 72174, + "Ġerv": 72175, + "annie": 72176, + "(resourceName": 72177, + "Ġbottled": 72178, + "Ġcrawling": 72179, + "egment": 72180, + ".setTag": 72181, + "Ġrss": 72182, + "ĠQuarry": 72183, + "_exact": 72184, + ".jwt": 72185, + "ĠBoards": 72186, + "opi": 72187, + "Ġnasal": 72188, + "ĠXYZ": 72189, + ".ud": 72190, + "Northern": 72191, + "Ġactivating": 72192, + "edx": 72193, + "ovah": 72194, + "Ġindx": 72195, + "AlertDialog": 72196, + "Ġtienes": 72197, + "annya": 72198, + "_pan": 72199, + "(decimal": 72200, + ".Dict": 72201, + "Ġsubsidiaries": 72202, + "ProductName": 72203, + "Few": 72204, + "dato": 72205, + "odied": 72206, + "-under": 72207, + "Ġê²ĥ": 72208, + "çīĪæľ¬": 72209, + "atism": 72210, + "[Math": 72211, + ".'<": 72212, + "(infile": 72213, + "Ġdenotes": 72214, + "$class": 72215, + "_SECURITY": 72216, + "Ġsewage": 72217, + "melon": 72218, + "(Character": 72219, + "/github": 72220, + "Ġglaring": 72221, + ".Guid": 72222, + "_sparse": 72223, + "ĠMargin": 72224, + "_dns": 72225, + "Ġmeiner": 72226, + "Ġleftist": 72227, + "ĉloc": 72228, + "abytes": 72229, + "Ġequipments": 72230, + "expo": 72231, + "ĠSomerset": 72232, + "EK": 72233, + "æį¢": 72234, + "Ġlecturer": 72235, + "Ġmemiliki": 72236, + "æł¸": 72237, + "ç´ł": 72238, + "pron": 72239, + ":pointer": 72240, + "borrow": 72241, + "ĠProtective": 72242, + "_cf": 72243, + "ĠÐķÑģли": 72244, + "bpp": 72245, + "';ĊĊĊĊ": 72246, + "aturally": 72247, + "_NAV": 72248, + "Ġpeptide": 72249, + ">d": 72250, + "Ġifstream": 72251, + "_FACTORY": 72252, + "');//": 72253, + "joined": 72254, + "mong": 72255, + "Ġtimespec": 72256, + "Ġdestabil": 72257, + "Ġautop": 72258, + "-limit": 72259, + "publication": 72260, + "ĠDenn": 72261, + ".Memory": 72262, + "(skb": 72263, + "ĠAnaheim": 72264, + "_RETURNTRANSFER": 72265, + "oueur": 72266, + "(_('": 72267, + "legt": 72268, + "istingu": 72269, + "ĉpriv": 72270, + "Ġredirects": 72271, + "Mt": 72272, + "Ġalleen": 72273, + "ĠPointF": 72274, + "Ġomin": 72275, + "Ġcitt": 72276, + "ĠTage": 72277, + "ĠWalls": 72278, + "á»ī": 72279, + "Ġoccupying": 72280, + "xBF": 72281, + "rangle": 72282, + "Ġrelational": 72283, + "-org": 72284, + "Ġjpg": 72285, + "-derived": 72286, + "Ġmalfunction": 72287, + "ĠBenson": 72288, + "(scroll": 72289, + "ĠXD": 72290, + "Holy": 72291, + "(commands": 72292, + "Ġtipping": 72293, + "Ġprimitives": 72294, + "Ġsexle": 72295, + "CallCheck": 72296, + "ĠMASTER": 72297, + "_TEAM": 72298, + ".setRequestHeader": 72299, + "_specs": 72300, + "Ġserge": 72301, + ".Master": 72302, + "Ġims": 72303, + ".SpringBootTest": 72304, + "paypal": 72305, + "ĠWANT": 72306, + ".Inst": 72307, + "ĠCarpet": 72308, + "Ġwrongly": 72309, + "($('.": 72310, + "Ġbild": 72311, + ".Roll": 72312, + "ĠUrb": 72313, + "-can": 72314, + "ãģıãģłãģķãģĦ": 72315, + "oliberal": 72316, + "čĊčĊ": 72710, + "ĠMahm": 72711, + "}\";ĊĊ": 72712, + "Ġdq": 72713, + "ĠPublishers": 72714, + "ĠAmpl": 72715, + "ĠDanielle": 72716, + "Ġtern": 72717, + "èµ·": 72718, + "noÅĽÄĩ": 72719, + "ein": 72720, + "ĠAsyncStorage": 72721, + "unger": 72722, + "rouw": 72723, + "Ġscissors": 72724, + "/assert": 72725, + ".bucket": 72726, + "/archive": 72727, + "_Man": 72728, + "Ġintoler": 72729, + "Ġ()=>": 72730, + "ĠÐĴÑĭ": 72731, + "Ġsai": 72732, + ".xy": 72733, + ".\"čĊ": 72734, + "Ġurinary": 72735, + "esub": 72736, + "ISTICS": 72737, + "Ġκ": 72738, + "Ġcompliments": 72739, + "ĠtypingsJapgolly": 72740, + "ihar": 72741, + "Expansion": 72742, + "ĠServing": 72743, + "_students": 72744, + "ĠXBOOLE": 72745, + "(il": 72746, + "Ġì²ĺ": 72747, + "Ġjó": 72748, + "(tol": 72749, + "(JS": 72750, + "ĉCG": 72751, + "ĠDRAW": 72752, + "twig": 72753, + "Ġoat": 72754, + "_smooth": 72755, + "ĠCSL": 72756, + "Ġosob": 72757, + "Ġensuing": 72758, + "Ġbanker": 72759, + "ĠBackpack": 72760, + "_ping": 72761, + "Ġwishlist": 72762, + "=ax": 72763, + "ĉĠĠĠĊ": 72764, + "Disney": 72765, + "steady": 72766, + "\">%": 72767, + "Ġprophets": 72768, + "ĠZX": 72769, + "Ġminimalist": 72770, + ".PLAIN": 72771, + "Seattle": 72772, + ".ordinal": 72773, + "ĠPIPE": 72774, + "Ġretorna": 72775, + "Ġjugador": 72776, + "ĠBret": 72777, + "ĠâĶľ": 72778, + "Ġplush": 72779, + "ULATOR": 72780, + "Sorting": 72781, + ".gridy": 72782, + "ectomy": 72783, + "_activ": 72784, + "rack": 72785, + "Interactive": 72786, + "ĠAntarctica": 72787, + "Ġvengeance": 72788, + "enso": 72789, + "_known": 72790, + "upplier": 72791, + ".Modules": 72792, + "ĠConnectionState": 72793, + "éļIJèĹı": 72794, + "@FindBy": 72795, + "Ġplacer": 72796, + "\\model": 72797, + "<()>": 72798, + ".isSuccessful": 72799, + "-good": 72800, + "bz": 72801, + "ĠDraco": 72802, + "Assistant": 72803, + "-extra": 72804, + "аблиÑĨ": 72805, + "Ġhypocrisy": 72806, + "Ġtst": 72807, + "ĠAgr": 72808, + "$txt": 72809, + "Ġlogistic": 72810, + "licensed": 72811, + "ĠHof": 72812, + "Ġtat": 72813, + "(iv": 72814, + "Ġintoxic": 72815, + "postId": 72816, + "_strike": 72817, + "Ġhumiliation": 72818, + "pcodes": 72819, + "\"sync": 72820, + "(recipe": 72821, + "+N": 72822, + "rente": 72823, + "ĉClient": 72824, + "ycopg": 72825, + "ĠZurich": 72826, + "ĠProfiles": 72827, + "Countries": 72828, + "Ġpict": 72829, + "Ġrollout": 72830, + "requencies": 72831, + "Ġpatched": 72832, + "Ġcartridges": 72833, + "Ġshading": 72834, + "Jar": 72835, + "Ġsalvage": 72836, + "ĠTaxes": 72837, + "Ġstandby": 72838, + "aporan": 72839, + "Eigen": 72840, + ".angular": 72841, + "ĠNested": 72842, + "享": 72843, + "ĠisVisible": 72844, + "ĠDwight": 72845, + "_BRANCH": 72846, + ".Delay": 72847, + "Ġkend": 72848, + "Ġfacilitated": 72849, + ".flatMap": 72850, + "Ġsanta": 72851, + "ĉSend": 72852, + "/messages": 72853, + "ĠofType": 72854, + "ĉswap": 72855, + "#plt": 72856, + "ĠTurks": 72857, + "NES": 72858, + "Ġprogressively": 72859, + "ĠResidence": 72860, + "ĠTREE": 72861, + "Ġnoen": 72862, + "dio": 72863, + "Ġnelle": 72864, + "Ġsogar": 72865, + "itti": 72866, + "weekly": 72867, + "Ġambiguity": 72868, + "_Settings": 72869, + "Ware": 72870, + ".neo": 72871, + "_DST": 72872, + "Ġæĸ¹": 72873, + "prep": 72874, + "lobby": 72875, + "@email": 72876, + "/movie": 72877, + "Ġfunkc": 72878, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ": 72879, + "ÂŃs": 72880, + "Ġguardians": 72881, + "-pos": 72882, + "Ġconfiguring": 72883, + "ĠCPS": 72884, + "ĠDeus": 72885, + "Ġvidéos": 72886, + "_empresa": 72887, + "Ġslapped": 72888, + "',Ċ": 72920, + "_XDECREF": 72921, + "ĠBuzzFeed": 72922, + "_MARGIN": 72923, + "PLOY": 72924, + ".small": 72925, + "ĠmimeType": 72926, + "Ġholog": 72927, + "ĉcamera": 72928, + "lias": 72929, + "Ġsuspense": 72930, + "odynam": 72931, + "bau": 72932, + "Ġgraveyard": 72933, + "_named": 72934, + "\":\"'": 72935, + "Ġ************************************************": 72936, + "ĠgameOver": 72937, + "ĠLENGTH": 72938, + "ĉscreen": 72939, + "ĠdoInBackground": 72940, + "_dependencies": 72941, + "Ġrtc": 72942, + "/up": 72943, + "_ROM": 72944, + "Hall": 72945, + "Ġdeficiencies": 72946, + "(te": 72947, + "'#": 72948, + "_equiv": 72949, + "Ġpreorder": 72950, + "ĠAxe": 72951, + "омÑĥ": 72952, + ".sendFile": 72953, + "Ġfilt": 72954, + "ĠLimits": 72955, + "ĠCavaliers": 72956, + ".discount": 72957, + "âĨIJ": 72958, + "ĠWit": 72959, + "QRSTUV": 72960, + "Ġij": 72961, + "Ġtegen": 72962, + "Ġ:\",": 72963, + "difficulty": 72964, + "punkt": 72965, + "ĠEmails": 72966, + "chlor": 72967, + "(fun": 72968, + ".Uint": 72969, + "ĠStall": 72970, + "_verified": 72971, + "uD": 72972, + "FileType": 72973, + "Ġpleasures": 72974, + "Ġjudiciary": 72975, + "Ġsham": 72976, + "ipur": 72977, + "_PLUS": 72978, + "offers": 72979, + "(foo": 72980, + "_GT": 72981, + "ĉcore": 72982, + "ENTION": 72983, + "ĠLiberation": 72984, + "CommandLine": 72985, + "_department": 72986, + ".Ar": 72987, + "_neighbor": 72988, + "ĠSubmitted": 72989, + "ĠĊ": 97221, + "Ġdroits": 97222, + "Ġhomosexuals": 97223, + "Ġabduction": 97224, + "ĉwidget": 97225, + "$headers": 97226, + "ĠDAR": 97227, + "Ġfla": 97228, + "threat": 97229, + "Ġlouis": 97230, + ".GetProperty": 97231, + "\"Just": 97232, + "(frames": 97233, + "ryo": 97234, + "profession": 97235, + "|i": 97236, + "íķ´ìĦľ": 97237, + "(sv": 97238, + "Ġunrecognized": 97239, + "Ionic": 97240, + "Fashion": 97241, + "ScreenState": 97242, + "ĠIncoming": 97243, + "NotNil": 97244, + "Ġsyncing": 97245, + "emie": 97246, + "Ġthermo": 97247, + "_procs": 97248, + "Ġinconsistency": 97249, + "religious": 97250, + ".mj": 97251, + "Ġpersonn": 97252, + "Ġmomentos": 97253, + "orarily": 97254, + "ĠæĬ": 97255, + "_neurons": 97256, + "Illustr": 97257, + "imoto": 97258, + "ilik": 97259, + "ĠWoj": 97260, + "Trading": 97261, + "Ġappare": 97262, + "Ġentreprises": 97263, + "achat": 97264, + "Ġ¬": 97265, + "Ġneigh": 97266, + "BUTTONDOWN": 97267, + "ĠMaher": 97268, + "aghan": 97269, + "-hash": 97270, + "\"f": 97271, + "Ġclientele": 97272, + ".addButton": 97273, + "ĉSP": 97274, + "Qi": 97275, + "Ġgrated": 97276, + "POSITE": 97277, + ":>": 97278, + "ĠHowell": 97279, + "ĠComparative": 97280, + "ĠISC": 97281, + "ÂŃi": 97282, + "Ocean": 97283, + "Davis": 97284, + "ĠFilme": 97285, + "Wins": 97286, + "ĠJIT": 97287, + "occer": 97288, + "ĠCorm": 97289, + "ENCHMARK": 97290, + "rchive": 97291, + "icação": 97292, + "Ġmata": 97293, + "Ġchildbirth": 97294, + "ĠOptionally": 97295, + "Ens": 97296, + "Ġxhttp": 97297, + "Ġelucid": 97298, + "_OscInitStruct": 97299, + "))):Ċ": 97300, + "Ġintuit": 97301, + "ĠDonate": 97302, + "Ġcorrelates": 97303, + ">Delete": 97304, + "Ġequipe": 97305, + "Ġboca": 97306, + "Ġinflatable": 97307, + "erah": 97308, + "ĠDateTimeKind": 97309, + "Ġcalves": 97310, + "\\Lib": 97311, + "Ġemlrt": 97312, + "ĠTrilogy": 97313, + "ĠPanc": 97314, + "ĠDuis": 97315, + "ĠpelÃŃcula": 97316, + "WARDS": 97317, + "_DETECT": 97318, + "-sectional": 97319, + "dhcp": 97320, + "ForRow": 97321, + "-destruct": 97322, + "ĠPresenter": 97323, + "/slick": 97324, + ",on": 97325, + "ĠCitadel": 97326, + "loggedin": 97327, + "_subtype": 97328, + "Ġsigue": 97329, + "Ġcuring": 97330, + "ĠFirewall": 97331, + "Ġfluorescence": 97332, + "ĠItalians": 97333, + "иÑĤÑģÑı": 97334, + ".getStyle": 97335, + "InSeconds": 97336, + "jie": 97337, + "-Smith": 97338, + "Ġxlink": 97339, + "Ġsubmissive": 97340, + "онÑĤ": 97341, + "arbonate": 97342, + "ĠFaul": 97343, + "_goals": 97344, + "ĠCommissioners": 97345, + "chartInstance": 97346, + "_POSTFIELDS": 97347, + "Ġmedial": 97348, + "Ġmanos": 97349, + "Ġdelt": 97350, + "svm": 97351, + ".Apis": 97352, + "ephy": 97353, + "Ġasympt": 97354, + "ĠappDelegate": 97355, + "Ġimprobable": 97356, + "cka": 97357, + "simd": 97358, + "/Error": 97359, + ".âĢĵ": 97360, + "ĠPTS": 97361, + "deer": 97362, + "Ġsina": 97363, + "magnitude": 97364, + "IDADE": 97365, + "']}'": 97366, + "Ġmayores": 97367, + "ĉcomment": 97368, + "/console": 97369, + "\"@": 97370, + "volt": 97371, + ".sell": 97372, + "ĠMacy": 97373, + "Ġmelod": 97374, + "Ġimágenes": 97375, + "_chg": 97376, + "Ġinout": 97377, + "idente": 97378, + ")'),Ċ": 97379, + "dni": 97380, + ".blob": 97381, + "Ġtypography": 97382, + "Ġeerie": 97383, + "_OID": 97384, + "pesan": 97385, + "ajan": 97386, + "Ġchopping": 97387, + "Ġbluff": 97388, + "adf": 97389, + "_bases": 97390, + ".Formatter": 97391, + "Ġ\\%": 97392, + "ĠPageInfo": 97393, + "Carrier": 97394, + "ĠCalibration": 97395, + "como": 97396, + "-bodied": 97397, + "Ġfinancier": 97398, + "ĠINA": 97399, + ".ERR": 97400, + "Ġhoodie": 97401, + "ĠSanity": 97402, + "guarded": 97403, + ".opendaylight": 97404, + "ISMATCH": 97405, + "Highlights": 97406, + "ünk": 97407, + "aniem": 97408, + "angered": 97409, + "assignments": 97410, + "Ġregistrado": 97411, + "ĠUPPER": 97412, + "ampilkan": 97413, + "ashire": 97414, + "ĠNikola": 97415, + "ĠCFL": 97416, + "ĠHDC": 97417, + "Ġpoids": 97418, + "ĠIPs": 97419, + "Ġpreventative": 97420, + "ipsoid": 97421, + "ifix": 97422, + ".camel": 97423, + ".ga": 97424, + "Volumes": 97425, + "-ste": 97426, + "Yahoo": 97427, + "_sibling": 97428, + "Highest": 97429, + "optgroup": 97430, + "Ġkvinna": 97431, + "âĢĿãĢĤĊĊ": 97432, + "ĠAppliances": 97433, + "Ġ\"><": 97434, + "')\")Ċ": 97435, + "htt": 97436, + "ĠIdentified": 97437, + "Ġpencils": 97438, + "ĠmemberId": 97439, + "ĠappendString": 97440, + ".loadData": 97441, + "ĠmockMvc": 97442, + "Ġjub": 97443, + "ĠSlut": 97444, + "ĠTaipei": 97445, + "statt": 97446, + "Polit": 97447, + "Ġpartager": 97448, + "DidChange": 97449, + "Increases": 97450, + ")}.": 97451, + "ĠBaba": 97452, + "_CLIP": 97453, + "[unit": 97454, + "ĠклÑİÑĩ": 97455, + "Ġalcuni": 97456, + "ĠLola": 97457, + "Ġclinging": 97458, + "@PostMapping": 97459, + "(concat": 97460, + "Ġssid": 97461, + "ĠFauc": 97462, + "okit": 97463, + "ĠRecorded": 97464, + "ález": 97465, + "($('<": 97466, + ".assertIsNot": 97467, + "Ġkali": 97468, + "Volt": 97469, + "Ġwarmly": 97470, + "Ġscares": 97471, + "getti": 97472, + "führt": 97473, + "_does": 97474, + ".EMAIL": 97475, + "imations": 97476, + "Ġspringfox": 97477, + "ĠDecom": 97478, + "arcy": 97479, + "Ġglitches": 97480, + "ĠMoff": 97481, + "ĠVoll": 97482, + ".between": 97483, + "Ġcoorden": 97484, + "ĠParticularly": 97485, + "GBP": 97486, + "Ġsemble": 97487, + "Eastern": 97488, + "_MSB": 97489, + "]){čĊ": 97490, + "morgan": 97491, + "ĠEVAL": 97492, + "dere": 97493, + "HOUSE": 97494, + "moire": 97495, + "istique": 97496, + "_lstm": 97497, + "-commit": 97498, + "ysterious": 97499, + "Ġtwink": 97500, + "-thumbnails": 97501, + "enÃŃ": 97502, + ":'',": 97503, + "Ġblackout": 97504, + "ĠFloors": 97505, + "Ġsofas": 97506, + "Ġoui": 97507, + "leshoot": 97508, + "ĠRaq": 97509, + "-abs": 97510, + "Ġkra": 97511, + "Mining": 97512, + "shaft": 97513, + ".setColumns": 97514, + "Clazz": 97515, + "PRETTY": 97516, + ".playlist": 97517, + "éĸ¢": 97518, + "-Saharan": 97519, + "MING": 97520, + "ĉbl": 97521, + "è®®": 97522, + "jf": 97523, + "DOCKER": 97524, + "hopefully": 97525, + "(ignore": 97526, + "ĠUsersController": 97527, + "ĠMitarbeiter": 97528, + "ĠLES": 97529, + "Hamilton": 97530, + "-metadata": 97531, + "ĠKK": 97532, + "iktig": 97533, + "Ġwollte": 97534, + "egrator": 97535, + "]bool": 97536, + ",current": 97537, + "ĠvalueType": 97538, + "Ġexcavation": 97539, + "oland": 97540, + "Ġverv": 97541, + "/filepath": 97542, + "AuthProvider": 97543, + "Ġprocrast": 97544, + "ĉULONG": 97545, + "_MEMBERS": 97546, + "Ġuplift": 97547, + "ĠAutonomous": 97548, + "Ġartworks": 97549, + "ĠOutreach": 97550, + "Ġpore": 97551, + "Homepage": 97552, + "DialogTitle": 97553, + "ĠGenerating": 97554, + "PARSE": 97555, + "Ġsemanas": 97556, + "Ġhumano": 97557, + "JSGlobalScope": 97558, + "Ġvolte": 97559, + "Ġbella": 97560, + "(isinstance": 97561, + "Ġplc": 97562, + "\\Catalog": 97563, + "Ġesteemed": 97564, + "鼷": 97565, + "(suffix": 97566, + "Ġsweeps": 97567, + "ĉORDER": 97568, + "Ġdoivent": 97569, + "ĠSwarm": 97570, + "ĠCompiled": 97571, + "getPage": 97572, + "ADR": 97573, + ".RichTextBox": 97574, + "ĠNaming": 97575, + "agged": 97576, + "ĠGANG": 97577, + "rasing": 97578, + "odeled": 97579, + "Ġgala": 97580, + "ĠJSName": 97581, + "ddf": 97582, + "Ġillust": 97583, + "ĠLansing": 97584, + "[port": 97585, + "-death": 97586, + "Ġdinheiro": 97587, + "ĠEighth": 97588, + "Ġbian": 97589, + "stÃ¥": 97590, + "Ġversión": 97591, + "ĠLinearGradient": 97592, + "ĠHarding": 97593, + ".*)": 97594, + "eczy": 97595, + "$header": 97596, + "ĠvÃ¥r": 97597, + "Unchecked": 97598, + "Ġkoje": 97599, + "ĠPaladin": 97600, + "())),": 97601, + "Giving": 97602, + "()})Ċ": 97603, + "Ġdips": 97604, + "Friendly": 97605, + "Ġportrays": 97606, + "Ġhelium": 97607, + "Ġinsurgency": 97608, + "_expiry": 97609, + "ĠstringByAppendingString": 97610, + "Ġaantal": 97611, + "slope": 97612, + "mast": 97613, + ".getInteger": 97614, + "Ġ########################": 97615, + "_PIPELINE": 97616, + "Ġdensely": 97617, + "Ġmutating": 97618, + "midi": 97619, + "ĠSeit": 97620, + "ayne": 97621, + "NOWLED": 97622, + "ĠDesmond": 97623, + "ĠFName": 97624, + "ĠNairobi": 97625, + "\\Context": 97626, + "Ġcalcular": 97627, + "-den": 97628, + "Ġcott": 97629, + "]):čĊ": 97630, + "ĠRecommendation": 97631, + "ĠRolex": 97632, + "ĠvalidationResult": 97633, + ".pat": 97634, + "ĠnÃły": 97635, + "ĠRestClient": 97636, + "ĠGPI": 97637, + "ĠAsheville": 97638, + "ĠOSP": 97639, + "ĠPERMISSION": 97640, + "ÐĶаÑĤа": 97641, + "/notification": 97642, + "Knight": 97643, + "_Word": 97644, + "ĠBender": 97645, + "ranking": 97646, + "Ġpartida": 97647, + "_reservation": 97648, + "ÌĢ": 97649, + "ĠmName": 97650, + "Ġgetch": 97651, + "Ġborr": 97652, + "Ġdiligent": 97653, + "Discuss": 97654, + "æŃ£åľ¨": 97655, + "apeake": 97656, + "ioned": 97657, + "-Nazi": 97658, + ".cum": 97659, + "ĠKron": 97660, + "=$('#": 97661, + "/single": 97662, + "Ġerotisch": 97663, + "ĠVib": 97664, + "Ġratified": 97665, + "Ġconcerted": 97666, + "ĠREGARD": 97667, + "Ġdobr": 97668, + ".DriverManager": 97669, + "'r": 97670, + "Portable": 97671, + "ĉsuite": 97672, + "Ġrelaciones": 97673, + "ĠDop": 97674, + "emploi": 97675, + "DOB": 97676, + "Ġcrumbs": 97677, + "Ġxls": 97678, + "_Application": 97679, + "(':',": 97680, + "Ġ------------------------------------------------------------------------Ċ": 97681, + "mse": 97682, + "Ġberk": 97683, + "ĠReturnValue": 97684, + "ĠBelly": 97685, + "Ġcamar": 97686, + "ĠPeek": 97687, + "elsing": 97688, + "Ġnotifies": 97689, + "ĠTristan": 97690, + "ĠGAR": 97691, + "emme": 97692, + "ĠElevated": 97693, + "_CSV": 97694, + "(chalk": 97695, + "Ġtwenties": 97696, + "ĠSearchResult": 97697, + "=search": 97698, + "ĠMixing": 97699, + "ýt": 97700, + "Ġrecruiter": 97701, + "ĠIDEOGRAPH": 97702, + "ĠAgo": 97703, + "(Operation": 97704, + "$values": 97705, + "Ġworldly": 97706, + "ĠRosenberg": 97707, + "ĠConfigureServices": 97708, + ">*Ċ": 97805, + "Ġsnork": 97806, + "_opacity": 97807, + "ĠinitWithNibName": 97808, + "iado": 97809, + "AAC": 97810, + "Ġ]).": 97811, + ";z": 97812, + "_paragraph": 97813, + "Ġnoses": 97814, + "stands": 97815, + "ifr": 97816, + "_mE": 97817, + "Iraq": 97818, + ".Predicate": 97819, + "enaire": 97820, + "]]];Ċ": 97821, + "Ġunidad": 97822, + "Ġretirees": 97823, + "_hello": 97824, + "Ġmodele": 97825, + "ĠUITableViewController": 97826, + "fwrite": 97827, + "_numero": 97828, + "_visited": 97829, + "Ġrecebe": 97830, + "(Notification": 97831, + "Fantastic": 97832, + "_submenu": 97833, + "ĠPEM": 97834, + "ĠCupertino": 97835, + "approximately": 97836, + "classed": 97837, + ".ReadString": 97838, + "Ġdomicile": 97839, + "_PW": 97840, + "Ġballpark": 97841, + "ĠKale": 97842, + "contra": 97843, + "_favorite": 97844, + "/of": 97845, + "Quite": 97846, + "ĠOTA": 97847, + "Ġaccelerometer": 97848, + "didn": 97849, + "|^": 97850, + "ĠRohingya": 97851, + "ivicrm": 97852, + "annabin": 97853, + "обÑĭÑĤи": 97854, + "orado": 97855, + "')+": 97856, + "Haunted": 97857, + ",ID": 97858, + "(UIAlertAction": 97859, + "urv": 97860, + "_bel": 97861, + "ĠMexicans": 97862, + "/terms": 97863, + "ĠPainter": 97864, + "InputLabel": 97865, + "ĠVinci": 97866, + "ĠRosie": 97867, + "\\uc": 97868, + "": 98029, + "_gs": 98030, + "Ġcompil": 98031, + "nard": 98032, + "-exc": 98033, + "Ġrhyme": 98034, + "Ġbutto": 98035, + "says": 98036, + "antasy": 98037, + "ë¸": 98038, + "ĠcittÃł": 98039, + "Ġcheg": 98040, + "TimeString": 98041, + "Ġpositivity": 98042, + "ĠDabei": 98043, + "Ġwang": 98044, + "Ġescre": 98045, + "\"c": 98046, + "ĉvideo": 98047, + "ĠRanked": 98048, + ".strings": 98049, + ">>>(": 98050, + "ĠинÑĤеÑĢ": 98051, + "Ġresta": 98052, + "[:,:": 98053, + "Ġrendre": 98054, + "Ġdeser": 98055, + "Jos": 98056, + "Ġdisruptions": 98057, + "ĠопеÑĢ": 98058, + "sampling": 98059, + "suppress": 98060, + "ĠcontainerView": 98061, + "ĠSeamless": 98062, + "Ġairy": 98063, + "Ġonload": 98064, + ".WindowManager": 98065, + "ĠPLA": 98066, + "braco": 98067, + ".setPositiveButton": 98068, + "Ġpdu": 98069, + "Ġgsi": 98070, + "ĠCli": 98071, + "_gradients": 98072, + "Ñıд": 98073, + "ĠWhisper": 98074, + "cstdint": 98075, + "Ġläng": 98076, + "Ġformulations": 98077, + "énom": 98078, + "ournemouth": 98079, + "[$_": 98080, + "Ġordinarily": 98081, + ".setUsername": 98082, + "Ġfaculties": 98083, + "MITTED": 98084, + "/values": 98085, + "Ġweir": 98086, + "ĠApt": 98087, + "MZ": 98088, + "ĉcf": 98089, + "ucken": 98090, + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ": 98091, + "defense": 98092, + "[iVar": 98093, + "ĠBusinessException": 98094, + "Selectors": 98095, + "(coordinates": 98096, + "ĠResets": 98097, + "ĠDrinks": 98098, + "oleans": 98099, + "(stypy": 98100, + "_IOC": 98101, + ".xxx": 98102, + "ĠSlater": 98103, + "ĠBelize": 98104, + "Ġ/************************************************************************": 98105, + "addin": 98106, + "_episodes": 98107, + "Ġischem": 98108, + "legalArgumentException": 98109, + "Danny": 98110, + "Ġpared": 98111, + ".codehaus": 98112, + "ĠAssy": 98113, + "ĉRect": 98114, + "âŀ": 98115, + ".lista": 98116, + "ĠваÑĪ": 98117, + "Ġvets": 98118, + "HWND": 98119, + "isoner": 98120, + "Ġxo": 98121, + "Ġorally": 98122, + "ĠStmt": 98123, + ".rnn": 98124, + "ĠDPI": 98125, + "ĠStrikes": 98126, + ".setViewportView": 98127, + "ĠèĩªåĬ¨çĶŁæĪIJ": 98128, + "YELLOW": 98129, + "GLenum": 98130, + "partners": 98131, + "ĠImplicit": 98132, + "Ġtako": 98133, + "âĢĻelle": 98134, + "Ġermög": 98135, + "totalCount": 98136, + "Gil": 98137, + "ĉwork": 98138, + "Ġpratic": 98139, + "inati": 98140, + "abies": 98141, + "ĠSkinner": 98142, + "Ġspirited": 98143, + "Ġpancreatic": 98144, + "Ġhdf": 98145, + "'em": 98146, + "Ġpsychosis": 98147, + "olicit": 98148, + "Ġ\"{\"": 98149, + "_atual": 98150, + "Ġélect": 98151, + "TEAM": 98152, + "Ġdak": 98153, + "ĠSWAT": 98154, + ".FragmentManager": 98155, + "Ġprovisioning": 98156, + "lifetime": 98157, + "_EXTENSIONS": 98158, + "ĠCASCADE": 98159, + "Ġ![": 98160, + "(KP": 98161, + "Ġvem": 98162, + "ĠInterracial": 98163, + "']},Ċ": 98164, + "spacer": 98165, + "_kv": 98166, + "Warehouse": 98167, + "RDD": 98168, + "_fsm": 98169, + ".StretchImage": 98170, + ",Yes": 98171, + "ĠRefugee": 98172, + "ĠBringing": 98173, + "Ġválido": 98174, + ".intersection": 98175, + "Ġspooky": 98176, + "_portal": 98177, + "Ġmoth": 98178, + "ĠZodiac": 98179, + "ĠSOCIAL": 98180, + "MimeType": 98181, + "']}}": 98300, + "_Blue": 98301, + "Ġbotanical": 98302, + "Ġfrags": 98303, + "Ġfamilial": 98304, + "-du": 98305, + "Ġseizing": 98306, + "(blocks": 98307, + ".rd": 98308, + ".checkNotNull": 98309, + "Ġmiser": 98310, + "Ġmaxx": 98311, + "ĠKnee": 98312, + "ViewItem": 98313, + "InnerHTML": 98314, + "Danger": 98315, + "((__": 98316, + "Ġprzypad": 98317, + "createUrl": 98318, + "**,": 98319, + "ĠDecorating": 98320, + "ATEGY": 98321, + "?>/": 98322, + ".Designer": 98323, + "hexdigest": 98324, + "ĠEverywhere": 98325, + "alleries": 98326, + ".TEXTURE": 98327, + ".Blocks": 98328, + "zell": 98329, + "Ġpreço": 98330, + "Suddenly": 98331, + "inputEmail": 98332, + "(sync": 98333, + ".bd": 98334, + "golden": 98335, + ">');": 98336, + "ĠDickinson": 98337, + ">>(Ċ": 98338, + "ĠQUEUE": 98339, + "ĠgetColumn": 98340, + "ĠSAND": 98341, + ".piece": 98342, + "licer": 98343, + "Flutter": 98344, + "ĠgetVersion": 98345, + "ĠresourceId": 98346, + "ogl": 98347, + "ÅĤaw": 98348, + ".Branch": 98349, + "ĉweb": 98350, + "Ġframerate": 98351, + "PPP": 98352, + "Ġfray": 98353, + "CNT": 98354, + "Ġinformatie": 98355, + "']čĊčĊ": 98356, + "neas": 98357, + "HeaderCode": 98358, + "Ġæ¸": 98359, + "Ġtrg": 98360, + "rawtypes": 98361, + "Honda": 98362, + "Ġmarketer": 98363, + "ĠrequestData": 98364, + "ĠPg": 98365, + "ĉnot": 98366, + "ĠpageInfo": 98367, + "Ġaktuellen": 98368, + "ãģķãĤĵ": 98369, + "ĠAMS": 98370, + "pushViewController": 98371, + "ĉAL": 98372, + "Ġvests": 98373, + "produce": 98374, + "-même": 98375, + "ĠRahman": 98376, + "Funny": 98377, + "EZ": 98378, + "_Valid": 98379, + "Ġsquadron": 98380, + "Ġlash": 98381, + "Ġirm": 98382, + "iasco": 98383, + "ĠParan": 98384, + "Ġpetites": 98385, + "ĠDecay": 98386, + "Ġuninitialized": 98387, + "privileged": 98388, + "Ġmbedtls": 98389, + "å¤ĩ注": 98390, + "Ġ^.": 98391, + "Ġecstatic": 98392, + "Detroit": 98393, + "Ġparten": 98394, + "Ġsouvenir": 98395, + ".getLogin": 98396, + "моÑĤÑĢ": 98397, + "enção": 98398, + "ĠmÃŃnimo": 98399, + "ĠAccessed": 98400, + "rió": 98401, + "Mic": 98402, + "ĠVocal": 98403, + ".SetString": 98404, + "Ġmensajes": 98405, + "åĢį": 98406, + "Ġattravers": 98407, + "ĠAph": 98408, + "Ġ');čĊ": 98409, + "ünde": 98410, + "Ġenchanted": 98411, + "ĠRootState": 98412, + "ĠCLOSED": 98413, + "ĉĉĉĉĉĉĉĉčĊ": 98414, + "Ġcaliente": 98415, + "orris": 98416, + "Ġphysicists": 98417, + "hwnd": 98418, + "_vi": 98419, + "Ġrápido": 98420, + "Ġcapitalized": 98421, + "edBy": 98422, + "Ġmachining": 98423, + "Ġhubby": 98424, + "ĠStacy": 98425, + ".Bus": 98426, + "drink": 98427, + "Hur": 98428, + "Ġpropia": 98429, + "UnitTest": 98430, + "Ġmisconception": 98431, + "__));Ċ": 98432, + "/dc": 98433, + "ĠMayweather": 98434, + "_mC": 98435, + ".createFrom": 98436, + "ĠQPainter": 98437, + "ropsych": 98438, + "innitus": 98439, + "ayas": 98440, + "Ġgeg": 98441, + "(dw": 98442, + "Ġusado": 98443, + "Ġtrickle": 98444, + "Ġannihil": 98445, + "ĠPasta": 98446, + "Ġ++Ċ": 98447, + "(ExpectedConditions": 98448, + ".postValue": 98449, + "icap": 98450, + "ĠDonetsk": 98451, + "_soup": 98452, + "-publish": 98453, + "ĠPb": 98454, + "mentions": 98455, + "ACCEPT": 98456, + ".Pull": 98457, + ",âĢĻâĢĻ": 98458, + "Ġretarded": 98459, + "_ATOM": 98460, + "ĠTerminator": 98461, + "-court": 98462, + "ĠCLLocationCoordinate": 98463, + "Ġreverence": 98464, + "ĠSSC": 98465, + "utely": 98466, + "ĠWON": 98467, + "ĠGSL": 98468, + "frei": 98469, + ".getLongitude": 98470, + "ĠopenFileDialog": 98471, + ".Butter": 98472, + "-important": 98473, + "_MANY": 98474, + "ĠGong": 98475, + "âĢľHow": 98476, + "Ġgorge": 98477, + "=msg": 98478, + "ĠEzek": 98479, + "createCommand": 98480, + ":checked": 98481, + "Ġinfographic": 98482, + ".WEST": 98483, + "Dirs": 98484, + "Ġguarda": 98485, + "Ġbeetle": 98486, + "Loading": 98560, + "_mA": 98561, + ".getRandom": 98562, + "blings": 98563, + "Ġcheeses": 98564, + "tti": 98565, + ".âĢ¢": 98566, + "ĠBurgess": 98567, + "enderit": 98568, + ".',čĊ": 98569, + "(\"\"+": 98570, + "acb": 98571, + "%p": 98572, + "indexed": 98573, + "_predicate": 98574, + "nesia": 98575, + "Ġbied": 98576, + "ĠCIT": 98577, + "(Pos": 98578, + "_radi": 98579, + "ä»·æł¼": 98580, + "Biz": 98581, + "ĠAdolescent": 98582, + "Ġviên": 98583, + "cycl": 98584, + "_Cancel": 98585, + "Ġconclusive": 98586, + "Ġappellate": 98587, + "informatics": 98588, + "SJ": 98589, + "Ġelective": 98590, + "roleId": 98591, + "Fetcher": 98592, + "ĉCommand": 98593, + "(\"(%": 98594, + "Ġfart": 98595, + "ILA": 98596, + "getBlock": 98597, + "AUSE": 98598, + "Ġдан": 98599, + "ĠArte": 98600, + "Ġnotifying": 98601, + "Ġgele": 98602, + ".same": 98603, + "ĠRegel": 98604, + "ĠBaÅŁ": 98605, + ".creation": 98606, + "ĠVN": 98607, + "_community": 98608, + "Ġunsustainable": 98609, + "SEX": 98610, + "ĠgridSize": 98611, + "rescia": 98612, + "aversable": 98613, + "(',')[": 98614, + "ĠPhelps": 98615, + "á»ķi": 98616, + "ANCELED": 98617, + "-IS": 98618, + ".runners": 98619, + "ĠStokes": 98620, + ".Produ": 98621, + "Ġwhipping": 98622, + "_acquire": 98623, + "Ġinvestigación": 98624, + "fried": 98625, + ".copyWith": 98626, + "ĠHardcover": 98627, + "-Se": 98628, + "áŀ¶áŀ": 98629, + "invitation": 98630, + "lesai": 98631, + "ĠDorm": 98632, + "ĠÑģпиÑģка": 98633, + "Ġconcatenated": 98634, + "ophil": 98635, + "Ġthinker": 98636, + "/fontawesome": 98637, + "ĠLeopard": 98638, + "Ġ\"/\");Ċ": 98639, + "Ġresiduals": 98640, + "ĠMicrowave": 98641, + "Ġconforme": 98642, + "throp": 98643, + "Ġdisemb": 98644, + "ĠOMG": 98645, + "ĠDiscipline": 98646, + "ĠAcrobat": 98647, + "/repository": 98648, + "dfa": 98649, + "_MED": 98650, + "bufio": 98651, + "Ġméthode": 98652, + "_HOLD": 98653, + "iasi": 98654, + "_legacy": 98655, + ")ččĊ": 98656, + "æ£Ģ": 98657, + "GetProcAddress": 98658, + "Ġyay": 98659, + "otence": 98660, + "orderid": 98661, + "-tw": 98662, + "Ġdearly": 98663, + "Incoming": 98664, + "/il": 98665, + "Ġneurop": 98666, + "ucz": 98667, + ");čččĊ": 98668, + "ĠInnovative": 98669, + "Ġprofund": 98670, + "igmat": 98671, + "SelectionMode": 98672, + "relevant": 98673, + ".GO": 98674, + "Ġbruises": 98675, + "Ġsach": 98676, + "odef": 98677, + "Ġreimb": 98678, + "/desktop": 98679, + "-spot": 98680, + "undance": 98681, + "Entropy": 98682, + "\\core": 98683, + "Ġsuger": 98684, + "ĠMvc": 98685, + "ĠGNOME": 98686, + "_indx": 98687, + "ĠYYSTYPE": 98688, + "ĠMatlab": 98689, + "ĠCIF": 98690, + "Ġ*))": 98691, + "ĠproductList": 98692, + "ĠAlright": 98693, + "acemark": 98694, + "ÑĤив": 98695, + "modification": 98696, + "international": 98697, + "Ġhomers": 98698, + "Ġdicts": 98699, + "ĠQFont": 98700, + ".SQLite": 98701, + "Ġtransplantation": 98702, + "ĠMessageBoxButton": 98703, + "ĠElves": 98704, + "']])Ċ": 98705, + "(QIcon": 98706, + "Ġcinemas": 98707, + "COORD": 98708, + "-China": 98709, + "Ġkhẩu": 98710, + "æĪijçļĦ": 98711, + "Ġskulls": 98712, + "Ġpainstaking": 98713, + "fce": 98714, + ".XRLabel": 98715, + "Ġspecifier": 98716, + "Ġpreferring": 98717, + "/activity": 98718, + "(Photo": 98719, + "ált": 98720, + ".lot": 98721, + "''.": 98722, + "annonce": 98723, + ".googlecode": 98724, + "-pdf": 98725, + "ĠPoke": 98726, + "_ACL": 98727, + "Ġendowed": 98728, + "discover": 98729, + ".omg": 98730, + "Ġwoodland": 98731, + ".Magic": 98732, + "Ġvolont": 98733, + "NotAllowed": 98734, + "Ġchave": 98735, + "BMW": 98736, + "','=',": 98737, + "ĠSIX": 98738, + "æĪij们": 98739, + "Ġkosher": 98740, + "Ġaspiration": 98741, + "intl": 98742, + "_refptr": 98743, + "'+Ċ": 98744, + "mentor": 98745, + ".club": 98746, + "WindowState": 98747, + ".ARR": 98748, + "Ġzza": 98749, + "ĠmessageType": 98750, + ".equ": 98751, + "Thor": 98752, + "Ġinjust": 98753, + "Ġgums": 98754, + "ĠborderSide": 98755, + "/////": 98756, + "ĠTransmit": 98757, + "Ġbufsize": 98758, + "Ġhak": 98759, + "Ġellas": 98760, + "RANDOM": 98761, + "ĉmc": 98762, + "Ġpea": 98763, + "eko": 98764, + "documento": 98765, + "Ġhysteria": 98766, + "Ġarenas": 98767, + "Ġgunmen": 98768, + "Ġmike": 98769, + "Ġimpunity": 98770, + "atisation": 98771, + "_Zero": 98772, + "_COMPANY": 98773, + "ĠGors": 98774, + "ĠuseClass": 98775, + "(redis": 98776, + "ĠRUNNING": 98777, + "ĠBair": 98778, + "velte": 98779, + "Ġ','.": 98780, + "аÑĤÑĮÑģÑı": 98781, + "öst": 98782, + "encodeURIComponent": 98783, + "_restrict": 98784, + "Ġdecals": 98785, + "ĠPedido": 98786, + "Ġaltercation": 98787, + "Displays": 98788, + "ĠApplicants": 98789, + "CUS": 98790, + "Textarea": 98791, + "ĠAngola": 98792, + ".future": 98793, + "ĠUSHORT": 98794, + "Ġsuppressing": 98795, + "Ġsetzen": 98796, + "APolynomial": 98797, + "Ġtoch": 98798, + "Ġhallmark": 98799, + "Ġ$$$": 98800, + "ĠCHARSET": 98801, + ".rpm": 98802, + "ĠDich": 98803, + "--------------------": 98804, + "_parm": 98805, + "è¿ĺ": 98806, + "acciones": 98807, + "hait": 98808, + "WARDED": 98809, + "_routing": 98810, + "ĠNOM": 98811, + "Ġenclave": 98812, + "ĠLotto": 98813, + "ĉfr": 98814, + "complexContent": 98815, + "ĠBallard": 98816, + "kube": 98817, + "/win": 98818, + ".getColumnModel": 98819, + "_REPLACE": 98820, + "HeaderValue": 98821, + "Ġestudiantes": 98822, + "Ġapis": 98823, + "Ġbpm": 98824, + "ĠTypeName": 98825, + "AndGet": 98826, + "rita": 98827, + "Plans": 98828, + ">Note": 98829, + "Ġfetisch": 98830, + "Ġtoned": 98831, + "_goto": 98832, + "onsense": 98833, + "Ġmolds": 98834, + "Ġinfiltration": 98835, + "ĠGuerrero": 98836, + "ubbo": 98837, + "cki": 98838, + "($(\".": 98839, + "_activities": 98840, + "(changes": 98841, + "ĠofApp": 98842, + "ĠKepler": 98843, + "ĠDemp": 98844, + "ĠContinent": 98845, + ".Ticks": 98846, + "ĠUnsigned": 98847, + "ĠJahres": 98848, + "Ġfreshmen": 98849, + "ĠArchived": 98850, + "ĠкоÑĤоÑĢÑĭй": 98851, + "Ġ'::": 98852, + "Tutorial": 98853, + "Cc": 98854, + "ĠtableLayoutPanel": 98855, + "fromJson": 98856, + ".levels": 98857, + "_transient": 98858, + "Ġendorsing": 98859, + "ĠDIC": 98860, + "lauf": 98861, + "Ġshred": 98862, + "_EMIT": 98863, + "ificantly": 98864, + "ALA": 98865, + "/proto": 98866, + "Ġnarrowing": 98867, + "Utc": 98868, + "Factors": 98869, + "Ġsentient": 98870, + "æŀIJ": 98871, + "lixir": 98872, + "ĠCROSS": 98873, + "meteor": 98874, + "Ġgroin": 98875, + "Ġmdb": 98876, + "ĠRotterdam": 98877, + "Ġcomida": 98878, + "ĠOpCode": 98879, + "ĠDefaultValue": 98880, + "PermissionsResult": 98881, + "Ġheterogeneous": 98882, + "Ġmoot": 98883, + "Ġdeceived": 98884, + "-independent": 98885, + "ĠObjectOutputStream": 98886, + "Ġoverpower": 98887, + ".dup": 98888, + "Ġldb": 98889, + "Ġdomestically": 98890, + "Ġbestellen": 98891, + "Ġlov": 98892, + "ĠContractors": 98893, + "Triangles": 98894, + "Ġfodder": 98895, + "Ġfilmes": 98896, + "ä¼ģ": 98897, + "Ġrevolver": 98898, + "StartupScript": 98899, + "/validation": 98900, + "ĠResourceType": 98901, + "iÅŁ": 98902, + "ĠLaz": 98903, + "fef": 98904, + "Ġlstm": 98905, + "{*": 98906, + ".attachment": 98907, + ".hits": 98908, + "ewith": 98909, + "DOG": 98910, + "Alabama": 98911, + "Ġmediums": 98912, + ".mContext": 98913, + "-cols": 98914, + "åıĭ": 98915, + ".notice": 98916, + "Ġattn": 98917, + "ĠPacking": 98918, + "ĠLn": 98919, + "_COMPLEX": 98920, + "/Users": 98921, + ".savetxt": 98922, + "ĠRounds": 98923, + "?,?,?,?,": 98924, + "Ġingl": 98925, + "ĠROC": 98926, + "_female": 98927, + "ĠStard": 98928, + "]];": 98929, + "Ġwrestlers": 98930, + "Ġtorrents": 98931, + "Ġsinh": 98932, + "ĊĊ": 98933, + "ë³µ": 98934, + "sense": 98935, + "however": 98936, + ".Physics": 98937, + "Infrastructure": 98938, + "ĠSacr": 98939, + "Fel": 98940, + "ĠDISTRIBUT": 98941, + "éments": 98942, + "ĠValidates": 98943, + "############################################################": 98944, + "Ġ|/": 98945, + "Ġesl": 98946, + "Ġréseau": 98947, + "ĠBip": 98948, + "BYTES": 98949, + "_WATER": 98950, + "Turning": 98951, + "ELS": 98952, + "Ġjuxtap": 98953, + "Ġlesbische": 98954, + "ých": 98955, + "(Unknown": 98956, + "Neo": 98957, + "@JsonProperty": 98958, + "Ġalumnos": 98959, + "ĠRaqqa": 98960, + "imei": 98961, + ".getBounds": 98962, + ".MouseEventHandler": 98963, + "#######": 98964, + "GenericType": 98965, + "/cms": 98966, + "Ġturno": 98967, + "Ġмин": 98968, + "Ġfolklore": 98969, + "ĠEvo": 98970, + "Ġconductivity": 98971, + "Ġleben": 98972, + "Ġgearbox": 98973, + "-vs": 98974, + "ĠÏĨ": 98975, + "Ġdrinkers": 98976, + "Ġconexao": 98977, + "ĠTeeth": 98978, + "ĠgetArguments": 98979, + "ĠRAT": 98980, + "entious": 98981, + "Educ": 98982, + "+W": 98983, + "ĠInstitutional": 98984, + "ĠBord": 98985, + "isEqual": 98986, + "(pwd": 98987, + "Ġignited": 98988, + "ĠRousse": 98989, + "Ġimpactful": 98990, + "ĠMalk": 98991, + "Ġgeral": 98992, + "ĠPivot": 98993, + "Ġazt": 98994, + "Ġcsvfile": 98995, + "ĠRope": 98996, + "ĠSOLUTION": 98997, + "ĠArbitrary": 98998, + "Ġletto": 98999, + ".MouseAdapter": 99000, + "Ġ}}}": 99001, + "ĠSailor": 99002, + "dera": 99003, + "Putting": 99004, + "Ġconcentrates": 99005, + "ĠauthDomain": 99006, + "âĢĿçļĦ": 99007, + "-finals": 99008, + ",strlen": 99009, + "Muon": 99010, + "ĠOrdinary": 99011, + "firefox": 99012, + "ĠLaTeX": 99013, + "ĠHund": 99014, + "engineering": 99015, + "/blue": 99016, + "edTextBox": 99017, + "(\"\");": 99018, + "ĠCDDL": 99019, + "kept": 99020, + "ĠGetString": 99021, + "Kir": 99022, + "()='": 99023, + "ĠOCD": 99024, + "antium": 99025, + "$menu": 99026, + "ĠAppalachian": 99027, + "Secretary": 99028, + "ë¥ĺ": 99029, + "ีย": 99030, + "Semantic": 99031, + "Ġ*[": 99032, + "estone": 99033, + "ungkin": 99034, + "MaxY": 99035, + "-tone": 99036, + "\"};čĊ": 99037, + "_Part": 99038, + "ĊĊ": 99240, + "Lic": 99241, + "ĠMirage": 99242, + "ĠAssemblyFileVersion": 99243, + "TeV": 99244, + "ĠValueEventListener": 99245, + "-solving": 99246, + "Tho": 99247, + "roulette": 99248, + "_WP": 99249, + "Ġuninterrupted": 99250, + "ĠfieldType": 99251, + ".Typed": 99252, + "Ġamour": 99253, + "Ġmockery": 99254, + "(vol": 99255, + "ĠSubcommittee": 99256, + "ĠRuf": 99257, + "erox": 99258, + ":UIButtonTypeCustom": 99259, + "ĠBlur": 99260, + "Ġwykon": 99261, + "nces": 99262, + "ASHBOARD": 99263, + "!!\");Ċ": 99264, + "Ġmurderers": 99265, + ".daily": 99266, + "ĠDIAG": 99267, + "jing": 99268, + "Ġdolphin": 99269, + "Ġlòng": 99270, + "Ġbö": 99271, + "ĠVocabulary": 99272, + ".StObject": 99273, + "')\">": 99274, + "Ġzun": 99275, + "Ġscrimmage": 99276, + "tréal": 99277, + "ĠLig": 99278, + "[vi": 99279, + "Cole": 99280, + "Ġfrosting": 99281, + ".Players": 99282, + "-translate": 99283, + "Feels": 99284, + "=\\\"/": 99285, + ".ButterKnife": 99286, + "Ġ?>;Ċ": 99287, + "Ġavi": 99288, + "innie": 99289, + ".Failure": 99290, + "Ġspindle": 99291, + "ConfigurationException": 99292, + "_hop": 99293, + "Ġposição": 99294, + "ĠAwait": 99295, + "UIImagePickerController": 99296, + "ĉday": 99297, + "Ġgenom": 99298, + "Cab": 99299, + "ĠÑĢезÑĥлÑĮÑĤаÑĤ": 99300, + "ORIGINAL": 99301, + "Ġejaculation": 99302, + "(tcp": 99303, + "SECOND": 99304, + "Ġtonic": 99305, + "ĠListBox": 99306, + "ĠĉĉĊ": 99307, + "()>Ċ": 99308, + "Ġquatre": 99309, + "ượng": 99310, + "withErrors": 99311, + ".Maybe": 99312, + ",âĢ¦": 99313, + "tokenId": 99314, + "_UNDEF": 99315, + "Ġfreshness": 99316, + "ĠAmendments": 99317, + ".mapbox": 99318, + ".CV": 99319, + "(blog": 99320, + "_gettime": 99321, + ".quest": 99322, + "sparse": 99323, + "Ġresale": 99324, + "Ġenthusiastically": 99325, + "ĠProstitutas": 99326, + "Wa": 99327, + "Cargo": 99328, + ".Parcelable": 99329, + "SENSOR": 99330, + "ĠRyu": 99331, + "Laughs": 99332, + "_Native": 99333, + "/pg": 99334, + "ysts": 99335, + "Ġphotoc": 99336, + "ç®Ģ": 99337, + "adopt": 99338, + ".species": 99339, + "conciliation": 99340, + "Adjusted": 99341, + ".FirebaseAuth": 99342, + "uttle": 99343, + "ordination": 99344, + "Ġmunch": 99345, + "ĠStake": 99346, + ".ping": 99347, + "anker": 99348, + "(QStringLiteral": 99349, + "Ġsubscript": 99350, + "ĠĠĉĊ": 99351, + "ĠMCC": 99352, + "_Cmd": 99353, + "sexy": 99354, + "iou": 99355, + "ĠMANY": 99356, + "Ġnanny": 99357, + "TRAIN": 99358, + "Ġflourishing": 99359, + "ĠWatches": 99360, + "ĠQMap": 99361, + "ĠFerm": 99362, + "Ġwasm": 99363, + "ĠAbed": 99364, + "_UD": 99365, + "ĠGlasses": 99366, + "+v": 99367, + "Attend": 99368, + ".Chain": 99369, + "Ġdecency": 99370, + "ĠSupplementary": 99371, + "hunter": 99372, + "-txt": 99373, + "Ġ\"}\";Ċ": 99374, + ".setWindowTitle": 99375, + "(\"": 99477, + "Ġmascara": 99478, + "(Profile": 99479, + "åĬŁèĥ½": 99480, + "imité": 99481, + "Ġwildfires": 99482, + "-ROM": 99483, + ".isOn": 99484, + "(groupId": 99485, + "Repair": 99486, + "accumulate": 99487, + "Ġ<\",": 99488, + "Ġhandwritten": 99489, + "Ġacheter": 99490, + "ĠMGM": 99491, + "ĠIrma": 99492, + "->{_": 99493, + "gee": 99494, + "criminal": 99495, + "Ġèĭ¥è¦ģ": 99496, + "Ġmomentarily": 99497, + "\")!=": 99498, + "_lit": 99499, + "ĠexpiresIn": 99500, + ".\").": 99501, + "éķ¿åº¦": 99502, + "Ġfrække": 99503, + "vlc": 99504, + "Ġorbs": 99505, + "),$": 99506, + "Ġventured": 99507, + "/>\\": 99508, + "charm": 99509, + "Nuitka": 99510, + "eldig": 99511, + "atonin": 99512, + "Witness": 99513, + "-lat": 99514, + "ĠsetHidden": 99515, + "Ġrelics": 99516, + "Ġconsulate": 99517, + ".IGNORE": 99518, + "\"After": 99519, + "ĠsetAddress": 99520, + "Ġbesteht": 99521, + "Ġ'')ĊĊ": 99522, + ".xaxis": 99523, + "Ġserão": 99524, + "Ġmisled": 99525, + "_UNIFORM": 99526, + "ĠVIA": 99527, + "incr": 99528, + "Ġzenith": 99529, + "Ġviscosity": 99530, + "Ġthinly": 99531, + ".getSharedPreferences": 99532, + ".ErrorCode": 99533, + "\"),\"": 99534, + "ĠMillionen": 99535, + "Ġ/>)Ċ": 99536, + "ScrollIndicator": 99537, + "-seeking": 99538, + "ĠPOLITICO": 99539, + "asca": 99540, + "_rl": 99541, + "Navig": 99542, + "(fullfile": 99543, + "Ġsolitude": 99544, + "Ġjuven": 99545, + "Ġhauling": 99546, + "ĠMacros": 99547, + "ĠGry": 99548, + "Ġexercitation": 99549, + "ĠATTACK": 99550, + "TickCount": 99551, + "Ġrites": 99552, + "Ġdoe": 99553, + "ParticleSystem": 99554, + "Ġslu": 99555, + "WindowText": 99556, + "ĠClassName": 99557, + "Ġslander": 99558, + "ĉPort": 99559, + "jong": 99560, + "?a": 99561, + ".Dial": 99562, + "âĢĶat": 99563, + "$objPHPExcel": 99564, + "Ġsoar": 99565, + "ENN": 99566, + "appeared": 99567, + "Ġquotid": 99568, + "emachine": 99569, + "Ġnip": 99570, + "Ġmicrotime": 99571, + "ĠAlma": 99572, + ";!": 99573, + "------------------------------------------------------------------------------------------------": 99574, + "ĠPassage": 99575, + "Ġdumpsters": 99576, + "ĠExclude": 99577, + "Ġsuggestive": 99578, + "ĠCircularProgressIndicator": 99579, + "_clr": 99580, + "ArrayType": 99581, + "ILLA": 99582, + "ElapsedTime": 99583, + "Driven": 99584, + "ĠresourceName": 99585, + "ĠGarrison": 99586, + "serir": 99587, + "-ahead": 99588, + "Ġpinnacle": 99589, + "ĠEspresso": 99590, + "Sparse": 99591, + "Ġassays": 99592, + "ĠGirlfriend": 99593, + "imid": 99594, + "]='\\": 99595, + "ONGLONG": 99596, + "Ġportraying": 99597, + "Lane": 99598, + "Ġbúsqueda": 99599, + "Ġreinforcements": 99600, + "ĠSpreadsheet": 99601, + "ĠArrayCollection": 99602, + ",arr": 99603, + "lightbox": 99604, + "icana": 99605, + "<\"": 99606, + "builders": 99607, + "Kid": 99608, + "ĠMatSnackBar": 99609, + "EXPR": 99610, + "odcast": 99611, + "ĠFoundations": 99612, + "Ġinds": 99613, + "='${": 99614, + "Fizz": 99615, + "-functional": 99616, + "(workspace": 99617, + "Ġstemmed": 99618, + "_patches": 99619, + "ĠJarvis": 99620, + "READING": 99621, + "Ġdisrespectful": 99622, + "ĠQDom": 99623, + "Ġ${Ċ": 99624, + "estatus": 99625, + "Reached": 99626, + "!.ĊĊ": 99627, + "ILT": 99628, + "ĠNDEBUG": 99629, + "ĠCourage": 99630, + "birthdate": 99631, + "ĠTing": 99632, + "Ġutilizado": 99633, + "ánchez": 99634, + "Outdoor": 99635, + "Ġhandguns": 99636, + "RefCount": 99637, + "ÉĻ": 99638, + "romo": 99639, + "Ġtts": 99640, + ".She": 99641, + "ĠPane": 99642, + "ãĢij,ãĢIJ": 99643, + "ĠIOCTL": 99644, + "/black": 99645, + "inscription": 99646, + "Ġbiopsy": 99647, + "ĠTimeInterval": 99648, + ".TestCheck": 99649, + "ĠGUIStyle": 99650, + "ĠCapability": 99651, + "ĠBeitrag": 99652, + "donnees": 99653, + "Treatment": 99654, + ".backup": 99655, + "Ġsignings": 99656, + "ĠBoca": 99657, + "drm": 99658, + ".MAIN": 99659, + "Ġgoede": 99660, + "ĠMarkup": 99661, + "GREE": 99662, + "ĠBaseService": 99663, + ".Creator": 99664, + "Ġjails": 99665, + "ĠKahn": 99666, + "IpAddress": 99667, + "ACHI": 99668, + "Ġinhibited": 99669, + "Ġ@$_": 99670, + "ĠAssass": 99671, + "Ġenviado": 99672, + "Heroes": 99673, + "ÐŁÐµÑĢ": 99674, + "ĠMaven": 99675, + ".ls": 99676, + "Ġive": 99677, + "|RF": 99678, + "ĠresizeMode": 99679, + "Ġrumpe": 99680, + "_attachments": 99681, + "TU": 99682, + "Ġtactile": 99683, + "Attempting": 99684, + "Ġrobin": 99685, + "yaw": 99686, + "Ġmercenaries": 99687, + "ĠHabitat": 99688, + "enddate": 99689, + "Ġoxy": 99690, + "ĉRandom": 99691, + "ohon": 99692, + "IsNull": 99693, + "ĠValidationResult": 99694, + "ãĥļ": 99695, + "umbed": 99696, + "ppv": 99697, + "Ġarp": 99698, + "ichick": 99699, + "_rnn": 99700, + "ĠTFT": 99701, + "TexImage": 99702, + "\"On": 99703, + "ĠSampler": 99704, + "topl": 99705, + "Ġjane": 99706, + "yling": 99707, + "ĠUNICODE": 99708, + "TabIndex": 99709, + "<{Ċ": 99710, + "suspend": 99711, + "uvian": 99712, + ",application": 99713, + "олиÑĩеÑģÑĤво": 99714, + "yat": 99715, + "ezier": 99716, + "ĠCHUNK": 99717, + "ĠAdler": 99718, + "/Add": 99719, + "ĠKeyValue": 99720, + "Ġsposób": 99721, + "Sampling": 99722, + "chers": 99723, + "_AMD": 99724, + "Ru": 99725, + ".MustCompile": 99726, + "Nation": 99727, + "Assoc": 99728, + "Managing": 99729, + "ĠEngl": 99730, + "_GB": 99731, + "Ġsuccinct": 99732, + "Ġdisliked": 99733, + "ĠIke": 99734, + "Bulletin": 99735, + "_ARCHIVE": 99736, + "Proposal": 99737, + "Ġjogging": 99738, + ".CREATED": 99739, + "Ġchol": 99740, + "è£ħ": 99741, + "Į¨": 99742, + "-push": 99743, + "Ġreserva": 99744, + "corev": 99745, + "ètre": 99746, + "THR": 99747, + "Ġincompetence": 99748, + "Ġcharisma": 99749, + "æĦŁ": 99750, + "Ġ\"==": 99751, + "BTN": 99752, + "ĠLocator": 99753, + "ivet": 99754, + "('.')Ċ": 99755, + "ĠforIndexPath": 99756, + "ôme": 99757, + "Ġcapacit": 99758, + "waters": 99759, + "ĠWRONG": 99760, + "hoa": 99761, + "ĠMIPS": 99762, + "Ġemiss": 99763, + "ĠJacqueline": 99764, + "(cmp": 99765, + "Ġeens": 99766, + "Leo": 99767, + ".timing": 99768, + "CLUSION": 99769, + "Ġ(\"-": 99770, + "åĵĪ": 99771, + ".kode": 99772, + "ĠUndert": 99773, + "Ġbewild": 99774, + "ĠEssen": 99775, + ".hd": 99776, + "Ġrenegot": 99777, + "Ġmower": 99778, + "Ġlsp": 99779, + "Ġpenchant": 99780, + "Ġmanoe": 99781, + "Ġagli": 99782, + "Ġrecal": 99783, + "ĠOPERATION": 99784, + "(^)(": 99785, + "Ġν": 99786, + "ĠScoped": 99787, + "Ġ@\"Ċ": 99788, + "=label": 99789, + "[loc": 99790, + "Intl": 99791, + "ĠNz": 99792, + "tablet": 99793, + ".ColumnName": 99794, + "ĠscreenSize": 99795, + "DBus": 99796, + "cooked": 99797, + "-registration": 99798, + "âĢľOne": 99799, + "-non": 99800, + "ĠwiÄĻc": 99801, + "Ġcosta": 99802, + ".addTab": 99803, + ".conditions": 99804, + "ĠHess": 99805, + "MEMORY": 99806, + "ĠAvalanche": 99807, + "()}}Ċ": 99808, + "Ġtriplet": 99809, + "Ġlabyrinth": 99810, + "ĠNodeList": 99811, + "ĠNYT": 99812, + "Ġyeni": 99813, + "dff": 99814, + ".HtmlControls": 99815, + "AVIS": 99816, + "/Math": 99817, + "Ġmemcmp": 99818, + "اء": 99819, + "оÑģÑĮ": 99820, + "crap": 99821, + "(pages": 99822, + "Ġlxml": 99823, + "ĠQDateTime": 99824, + "_tcb": 99825, + "Ġopenid": 99826, + "Ġsynaptic": 99827, + "ĠMDMA": 99828, + "(slug": 99829, + "igmatic": 99830, + "enor": 99831, + "Ġcramped": 99832, + "GOP": 99833, + "ŃIJ": 99834, + ".isFile": 99835, + "ĠDifferential": 99836, + "Ġ=\"\";Ċ": 99837, + "ĉĉĉĠĠĠĠĉ": 99838, + "ĠCooke": 99839, + "ĉUFUNCTION": 99840, + "Ġperseverance": 99841, + "RelativeLayout": 99842, + "IMPORTANT": 99843, + "Ġexon": 99844, + "Ġон": 99845, + "ibase": 99846, + "(CONT": 99847, + "novation": 99848, + "ä½ķ": 99849, + "[sub": 99850, + "AdminController": 99851, + "HTTPHeader": 99852, + "crear": 99853, + "ĠNIR": 99854, + "ĠDropDownList": 99855, + "Ġvalide": 99856, + "Ġdehydration": 99857, + ".']": 99858, + "(WIN": 99859, + "Ġ...\\": 99860, + "Ġphotoshop": 99861, + "ĉInit": 99862, + "_cou": 99863, + "ĠtimeZone": 99864, + "darwin": 99865, + "romatic": 99866, + "NavigationItemSelectedListener": 99867, + "brates": 99868, + "]--;Ċ": 99869, + "Ġtragedies": 99870, + "ĠPediatrics": 99871, + "SMART": 99872, + "-API": 99873, + "ĠMessageLookup": 99874, + "ĉvo": 99875, + "Ġprejudices": 99876, + "ĠmA": 99877, + "Ups": 99878, + "ĠMISSING": 99879, + "ĉad": 99880, + "Cream": 99881, + "ĠTb": 99882, + "ĠMona": 99883, + "_ghost": 99884, + "ĉtypes": 99885, + "Emb": 99886, + "ĠDocumentary": 99887, + "');ĊĊĊĊ": 99888, + "Ġlup": 99889, + "_Reference": 99890, + "ĠBATCH": 99891, + "Ġintertwined": 99892, + "": 100015, + "Ġfoyer": 100016, + "'utilisation": 100017, + "ĠMüller": 100018, + "ĠFetish": 100019, + "ĠdefaultManager": 100020, + "Ġbacktrack": 100021, + "Bah": 100022, + "Explicit": 100023, + "_ASCII": 100024, + "ĠmActivity": 100025, + "(Msg": 100026, + "Ġê²Į": 100027, + "ĠTERMS": 100028, + "ĠAngie": 100029, + "HSV": 100030, + "ĠMosque": 100031, + ".Names": 100032, + "íĬ¼": 100033, + "reste": 100034, + "_parms": 100035, + "Ġgaping": 100036, + "Ġcropping": 100037, + "DataFrame": 100038, + "Ġresponsiveness": 100039, + "_undo": 100040, + "_tran": 100041, + ".terminate": 100042, + "Ġitaliane": 100043, + "Ġwalkthrough": 100044, + "Ġattractiveness": 100045, + "де": 100046, + "_STS": 100047, + "_learn": 100048, + "Ġchocolates": 100049, + "ierarchical": 100050, + "-thinking": 100051, + "Ġ)))": 100052, + "ishments": 100053, + ".Logf": 100054, + "ĠTMZ": 100055, + "ĠCanary": 100056, + "foil": 100057, + "ĠVaccine": 100058, + ".vx": 100059, + "ĠSurround": 100060, + "Intermediate": 100061, + "Ġiov": 100062, + "vais": 100063, + "';\";Ċ": 100064, + "ï½ŀĊĊ": 100065, + "éĢģæĸĻ": 100066, + "âĢ¦it": 100067, + "Seats": 100068, + "Clar": 100069, + "Wars": 100070, + "ĠHutchinson": 100071, + "ĠHasan": 100072, + "!')ĊĊ": 100073, + "ĠRichie": 100074, + "cheiden": 100075, + "($('": 100076, + "York": 100077, + "Ġlids": 100078, + "Ġalphanumeric": 100079, + "ĠGlock": 100080, + ".shapes": 100081, + "Ġsparking": 100082, + "_epsilon": 100083, + "uplicated": 100084, + ".dirty": 100085, + "])==": 100086, + "ĠìľĦì¹ĺ": 100087, + "Ġscn": 100088, + "Ġ/****************************************************************": 100089, + "_PREVIEW": 100090, + "_HC": 100091, + "ielding": 100092, + "fgets": 100093, + "ĠAddison": 100094, + "ĠproductService": 100095, + "-figure": 100096, + "(retval": 100097, + "zano": 100098, + "Ġautob": 100099, + "ĉsd": 100100, + "_numer": 100101, + "ĠSetLastError": 100102, + "ĠFior": 100103, + "ificance": 100104, + "Untitled": 100105, + "Ġinfield": 100106, + "Ġ{}));Ċ": 100107, + "Ġspac": 100108, + "Ġrookies": 100109, + "(describing": 100110, + "ngen": 100111, + "ிà®": 100112, + ".rdf": 100113, + ".Mutex": 100114, + "Ġkneeling": 100115, + "ĠQE": 100116, + "setMax": 100117, + "ReadStream": 100118, + "Ġventas": 100119, + "sut": 100120, + "cmpeq": 100121, + ".WriteAllText": 100122, + "ĠExperienced": 100123, + "$__": 100124, + "Ġkaum": 100125, + "ĠLIS": 100126, + "Ġdocumentos": 100127, + "_HEALTH": 100128, + "icontains": 100129, + "Ġartisans": 100130, + "OWNER": 100131, + "Ġblinked": 100132, + "getDisplay": 100133, + "Ġtoen": 100134, + "ĠrowNum": 100135, + "Ġavril": 100136, + "Ġinvis": 100137, + "ĠKear": 100138, + "toBeInTheDocument": 100139, + "apur": 100140, + "Ġracked": 100141, + "ĠMcMaster": 100142, + "_ATTRIB": 100143, + "Haz": 100144, + "Ġfactura": 100145, + "/ts": 100146, + "ĠÑĢазмеÑĢ": 100147, + "Ġzf": 100148, + "Ġshortfall": 100149, + ".fasta": 100150, + "ĠCONSTANT": 100151, + ".managed": 100152, + "gems": 100153, + "SharedPointer": 100154, + "Ġblurry": 100155, + "brightness": 100156, + "(components": 100157, + "Ġ...\"ĊĊ": 100158, + "SELL": 100159, + "ĠIllustrator": 100160, + ".getChannel": 100161, + "Ġtrouvé": 100162, + "ysters": 100163, + "Ġvois": 100164, + "ĠLinden": 100165, + "Ġemojis": 100166, + "Ġbrawl": 100167, + "ĠMSR": 100168, + "ĠElo": 100169, + "ĠCroatian": 100170, + "PopupMenu": 100171, + "Lewis": 100172, + ".JWT": 100173, + "Ġastonished": 100174, + "Bush": 100175, + "(itemId": 100176, + "Ġdetachment": 100177, + "ĠEncore": 100178, + "å°Ķ": 100179, + "Ġrekl": 100180, + "Ġcram": 100181, + ")$/": 100182, + ".getHost": 100183, + "_recommend": 100184, + "-HT": 100185, + "_calibration": 100186, + "Authenticate": 100187, + ".firebaseapp": 100188, + "UNIX": 100189, + "ĉCamera": 100190, + "ĠHEAP": 100191, + "Ideal": 100192, + ".office": 100193, + "Ġgoofy": 100194, + "(Symbol": 100195, + "Ġjouer": 100196, + "_partitions": 100197, + "Ġrapidement": 100198, + "ĠGNUNET": 100199, + "idUser": 100200, + "Ġsupervise": 100201, + "(Contact": 100202, + "AWN": 100203, + "ãģĺ": 100204, + "Ġnaam": 100205, + "Ġaust": 100206, + "åľ¨çº¿": 100207, + "_softmax": 100208, + "AllowAnonymous": 100209, + "ammable": 100210, + "ROUTE": 100211, + "*D": 100212, + "Ġaden": 100213, + "ĠCristina": 100214, + "ĠCristiano": 100215, + "Ġbloodstream": 100216, + "subclass": 100217, + "_persona": 100218, + "CHILD": 100219, + "-know": 100220, + "ĠnavigationOptions": 100221, + "ĠZukunft": 100222, + "ĠPixar": 100223, + "Tyler": 100224, + "Ġunderworld": 100225, + "Ġsincerity": 100226, + "Ġdispenser": 100227, + "Ġkter": 100228, + "idders": 100229, + ".addNode": 100230, + "-checked": 100231, + "Ġkeyst": 100232, + "ĠWTO": 100233, + ".signals": 100234, + "Ġadventurer": 100235, + "ĠPang": 100236, + "\\R": 100237, + "=pos": 100238, + "Ġdispensaries": 100239, + "ĠCloset": 100240, + "(\"{\\\"": 100241, + "ideon": 100242, + "Ġnécessaire": 100243, + "()\"Ċ": 100244, + "_RECEIVED": 100245, + "Ġrésultats": 100246, + "Ġmoden": 100247, + "ĠIcelandic": 100248, + ";d": 100249, + ".allowed": 100250, + "(newUser": 100251, + "Ġmerciless": 100252, + ".WaitFor": 100253, + "Ġdaycare": 100254, + "ĠConveyor": 100255, + "ĠÙ": 100256, + "اÙ": 100257, + "าà¸": 100258, + "ÑŁ": 100259, + "ÑŁÑŁ": 100260, + "Ġà¸": 100261, + "à¹Ģà¸": 100262, + "iá»": 100263, + "ãĢĢãĢĢãĢĢãĢĢ": 100264, + "ĠاØ": 100265, + "à¥Ī": 100266, + "ĠãĢĢ": 100267, + "ÑĹ": 100268, + "iá»ĩ": 100269, + "ÑŁÑŁÑŁÑŁ": 100270, + "à¥ĩà¤Ĥ": 100271, + "Ñĸд": 100272, + "ार": 100273, + "ÙĨد": 100274, + "Ñĸв": 100275, + "Ġब": 100276, + "Ġà¤ľ": 100277, + "।": 100278, + "нÑĸ": 100279, + "à¤Ĺ": 100280, + "ĠØ¢": 100281, + "Ġन": 100282, + "ÑĶ": 100283, + "ĠÑĢа": 100284, + "Ġà¤ħ": 100285, + "ÑģÑĮ": 100286, + "Ġव": 100287, + "ÑĨÑĸ": 100288, + "Ġvá»": 100289, + "³Øª": 100290, + "Ġद": 100291, + "nÄĽ": 100292, + "Ġल": 100293, + "ĠãĢĢĠãĢĢ": 100294, + "à¥Ĥ": 100295, + "द": 100296, + "à¸Ńà¸ĩ": 100297, + "ÙĪÙĨ": 100298, + "व": 100299, + "aÅŁ": 100300, + "à¹Ĥ": 100301, + "ικ": 100302, + "Ġर": 100303, + "Ġви": 100304, + "à¥įय": 100305, + "ान": 100306, + "Ġاز": 100307, + "اÙĩ": 100308, + "Ľi": 100309, + "Ġhá»": 100310, + "à¥ĭà¤Ĥ": 100311, + "iế": 100312, + "ĠÄijá»": 100313, + "य": 100314, + "Ïį": 100315, + "Ġcủ": 100316, + "Ġبر": 100317, + "ĠÙħÛĮ": 100318, + "ĠاÛĮ": 100319, + "Ġà¤Ĩ": 100320, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 100321, + "िय": 100322, + "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ": 100323, + "ви": 100324, + "رد": 100325, + "нÑĥ": 100326, + "ÙĬÙĨ": 100327, + "ια": 100328, + "Ġत": 100329, + "Ñĩи": 100330, + "Ġà¤ķर": 100331, + "از": 100332, + "aÄŁ": 100333, + "Ġà¤ī": 100334, + "ब": 100335, + "ÏĦα": 100336, + "تر": 100337, + "Ùĩا": 100338, + "ระ": 100339, + "jÃŃ": 100340, + "Îij": 100341, + "аÑĤи": 100342, + "Ġà¤Ĺ": 100343, + "ĠÑĤа": 100344, + "ÚĨ": 100345, + "à¤ľ": 100346, + "าà¸Ļ": 100347, + "Ġà¤Ń": 100348, + "िà¤ķ": 100349, + "áv": 100350, + "ĠÚ¯": 100351, + "Ïİ": 100352, + "าย": 100353, + "Ġà¤Ķ": 100354, + "ÅĻÃŃ": 100355, + "اÙĪ": 100356, + "ĠÑī": 100357, + "Ġà¤Ķर": 100358, + "еннÑı": 100359, + "ĠÚ©Ùĩ": 100360, + "ड": 100361, + "ÏĦο": 100362, + "ει": 100363, + "Ġà¤ĩ": 100364, + "à¥įत": 100365, + "à¤Ł": 100366, + "Û±": 100367, + "ĠØĮ": 100368, + "Ïģο": 100369, + "ηÏĤ": 100370, + "ë¬": 100371, + "Ñĸн": 100372, + "iá»ģ": 100373, + "iên": 100374, + "ĠвÑĸд": 100375, + "dı": 100376, + "ÙĦÛĮ": 100377, + "Ġز": 100378, + "Ïģα": 100379, + "ĠÛĮ": 100380, + "าà¸ĩ": 100381, + "Ġthá»": 100382, + "Ġà¹Ģà¸": 100383, + "iá»ĩn": 100384, + "اÙĬ": 100385, + "аннÑı": 100386, + "ÑĢе": 100387, + "ÎŁ": 100388, + "åĴ": 100389, + "اش": 100390, + "ाल": 100391, + "ëħĦ": 100392, + "Ġय": 100393, + "Ġرا": 100394, + "़": 100395, + "Ñĥв": 100396, + "ÙĪÙħ": 100397, + "ĠعÙĦ": 100398, + "ία": 100399, + "à¥Īà¤Ĥ": 100400, + "à¥ģà¤": 100401, + "าม": 100402, + "Ġmá»Ļt": 100403, + "Ġà¤ı": 100404, + "ãĢĢãĢĢãĢĢ": 100405, + "Ġपर": 100406, + "ĠاÙĨ": 100407, + "ĠاÛĮÙĨ": 100408, + "ĠvỼi": 100409, + "Σ": 100410, + "à¤ļ": 100411, + "Û°": 100412, + "iá»ĥ": 100413, + "าà¸ģ": 100414, + "ÎĻ": 100415, + "اع": 100416, + "Ñĸй": 100417, + "à¹ģล": 100418, + "ÙĩاÛĮ": 100419, + "Ñĩа": 100420, + ".:.:": 100421, + "ÏĦη": 100422, + "ĠÎij": 100423, + "رÛĮ": 100424, + "Ġngh": 100425, + "να": 100426, + "à¹ĥà¸Ļ": 100427, + "ित": 100428, + "Ġκαι": 100429, + "ÏĦε": 100430, + "à¥įà¤Ł": 100431, + "μα": 100432, + "лÑĥ": 100433, + "ým": 100434, + "ÏĢο": 100435, + "à¥Ī।": 100436, + "ï¼¼": 100437, + "رÙĬ": 100438, + "ниÑħ": 100439, + "Ïģι": 100440, + "ÙĢ": 100441, + "ÑĢо": 100442, + "Ġà¤ļ": 100443, + "ात": 100444, + "اÙĤ": 100445, + "Ġश": 100446, + "ĠÄijá»Ļ": 100447, + "ého": 100448, + "iá»ģu": 100449, + "ศ": 100450, + "ÑĸлÑĮ": 100451, + "uyá»": 100452, + "Û²": 100453, + "ĠnÄĥ": 100454, + "Ïīν": 100455, + "ĠÏĦοÏħ": 100456, + "кий": 100457, + "íĸ": 100458, + "ĠÑīо": 100459, + "à¥įव": 100460, + "ĠاÙĦØ£": 100461, + "ائ": 100462, + "tı": 100463, + "ĠÏĦο": 100464, + "¬¬": 100465, + "ĠØ·": 100466, + "ÙħاÙĨ": 100467, + "ĠÎł": 100468, + "ди": 100469, + "ึ": 100470, + "िà¤ı": 100471, + "ãģ£ãģŁ": 100472, + "ÛĮÙħ": 100473, + "ÃŃnh": 100474, + "rav": 100475, + "ÄĽt": 100476, + "Îķ": 100477, + "ĠÑıк": 100478, + "çĤ": 100479, + "à¸Ńà¸Ļ": 100480, + "ãģ¦ãģĦ": 100481, + "िल": 100482, + "ÑĸÑĤ": 100483, + "за": 100484, + "áp": 100485, + "ध": 100486, + "Ġêµ": 100487, + "à¹ģละ": 100488, + "ÃŃch": 100489, + "ĠØ¢ÙĨ": 100490, + "تÙĩ": 100491, + "ĠÙħع": 100492, + "ний": 100493, + "Æ°á»Ľc": 100494, + "ĠاÙĦع": 100495, + "رب": 100496, + "ाम": 100497, + "ĠرÙĪ": 100498, + "é«": 100499, + "ıy": 100500, + "Ġhá»į": 100501, + "ÑĤÑĮÑģÑı": 100502, + "ĠÎļ": 100503, + "Ġà¤ĩस": 100504, + "＿": 100505, + "ĠÚĨ": 100506, + "ĠÙĪاÙĦ": 100507, + "íķĻ": 100508, + "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ": 100509, + "Ġvý": 100510, + "िस": 100511, + "ững": 100512, + "سÛĮ": 100513, + "Ġìĥ": 100514, + "ाà¤Ĥ": 100515, + "､": 100516, + "à¹ĩà¸Ļ": 100517, + "Ġथ": 100518, + "larak": 100519, + "ây": 100520, + "tÄĽ": 100521, + "νο": 100522, + "ĠÙħÙĪ": 100523, + "ĠngÆ°á»Ŀi": 100524, + "å¦": 100525, + "ÙĬد": 100526, + "ilir": 100527, + "اØŃ": 100528, + "ĠãĢ": 100529, + "Ùĭ": 100530, + "ĠÑĢоз": 100531, + "Ġй": 100532, + "Ġdụ": 100533, + "à¹Ģà¸Ľ": 100534, + "ัà¸ĩ": 100535, + "ле": 100536, + "ाय": 100537, + "ï¿£": 100538, + "ÙĪاÙĨ": 100539, + "Ġthá»ĥ": 100540, + "ãĥ½": 100541, + "Ã¼ÅŁ": 100542, + "çŁ": 100543, + "Ġο": 100544, + "ĠΣ": 100545, + "ÛĮت": 100546, + "ัà¸ģ": 100547, + "Τ": 100548, + "Ġà¤ıà¤ķ": 100549, + "ĠÙĩÙħ": 100550, + "ìĽĶ": 100551, + "ĠÎľ": 100552, + "Ġà¸Ħ": 100553, + "¯¸": 100554, + "ارÛĮ": 100555, + "िन": 100556, + "Ġnhững": 100557, + "ĠnhÆ°": 100558, + "иÑĤи": 100559, + "ãĥ³ãĥ": 100560, + "à¹Ģร": 100561, + "ĠÐĽ": 100562, + "ÑĢÑĸ": 100563, + "ád": 100564, + "üy": 100565, + "iye": 100566, + "ĠÎķ": 100567, + "Ġส": 100568, + "Ïĥη": 100569, + "Ġë¬": 100570, + "ï»": 100571, + "ण": 100572, + "ÎĹ": 100573, + "श": 100574, + "ĠÙħØŃ": 100575, + "ÙĦÙĬ": 100576, + "Ġμε": 100577, + "ĠpÅĻÃŃ": 100578, + "ÎĿ": 100579, + "à¥įष": 100580, + "tir": 100581, + "راÙĨ": 100582, + "ĠÄijá»ĭ": 100583, + "ĠкоÑĤ": 100584, + "кÑĢа": 100585, + "λο": 100586, + "ĠÏĦη": 100587, + "Ñīе": 100588, + "ÏĦικ": 100589, + "ัà¹ī": 100590, + "iết": 100591, + "αν": 100592, + "íĶ": 100593, + "киÑħ": 100594, + "ĠпоÑģ": 100595, + "tır": 100596, + "à¥įम": 100597, + "رÙģ": 100598, + "ÄĽl": 100599, + "à¤Ń": 100600, + "ové": 100601, + "Ġlá»": 100602, + "à¹Ħà¸Ķ": 100603, + "ãģªãģĦ": 100604, + "ษ": 100605, + "iá»ĩu": 100606, + "ξ": 100607, + "ĠعÙĦÙī": 100608, + "дÑĥ": 100609, + "Ġdụng": 100610, + "аÑĢа": 100611, + "ाद": 100612, + "ož": 100613, + "ÙĦÙĩ": 100614, + "ÙĦÙħ": 100615, + "ноÑĹ": 100616, + "Û±Û": 100617, + "à¸Ĥà¸Ńà¸ĩ": 100618, + "Ρ": 100619, + "à¥Ģà¤Ĥ": 100620, + "ĠпÑĸд": 100621, + "Ġफ": 100622, + "à¸ĺ": 100623, + "εÏĤ": 100624, + "ास": 100625, + "à¹ĥห": 100626, + "ова": 100627, + "تÛĮ": 100628, + "à¸Ńย": 100629, + "à¸į": 100630, + "ĠnÄĥm": 100631, + "ÏĦι": 100632, + "ÙĪÛĮ": 100633, + "ĠмÑĸ": 100634, + "ĠاÙħ": 100635, + "ÏĢÏĮ": 100636, + "Ġzá": 100637, + "à¤Ī": 100638, + "Ġà¤ĸ": 100639, + "ĠnÄĽ": 100640, + "cÃŃ": 100641, + "ÙĨÚ¯": 100642, + "Ñģи": 100643, + "ζ": 100644, + "ná": 100645, + "Ŀi": 100646, + "Å©": 100647, + "ئ": 100648, + "ĠاÙĦس": 100649, + "á»ijc": 100650, + "ẽ": 100651, + "اج": 100652, + "Ùħا": 100653, + "êµŃ": 100654, + "оÑİ": 100655, + "در": 100656, + "à¹Ģà¸ģ": 100657, + "à¸ł": 100658, + "áng": 100659, + "íķ©": 100660, + "ĠÏĦηÏĤ": 100661, + "ĠÑĸн": 100662, + "оÑĹ": 100663, + "à¥ĩश": 100664, + "à¸ĭ": 100665, + "à¥ĭà¤Ĺ": 100666, + "лÑĸ": 100667, + "ĠpÅĻed": 100668, + "ÄįnÃŃ": 100669, + "Ġка": 100670, + "ĠΤ": 100671, + "á»Ļi": 100672, + "vÃŃ": 100673, + "ÑĢÑı": 100674, + "à¤¾à¤ľ": 100675, + "аÑħ": 100676, + "िर": 100677, + "าส": 100678, + "dır": 100679, + "Ø¢": 100680, + "Îļ": 100681, + "ĠÎŃ": 100682, + "Ġtại": 100683, + "iá»ĩc": 100684, + "iến": 100685, + "Ġغ": 100686, + "اخ": 100687, + "ĠاÙĦØŃ": 100688, + "ĠбÑĥ": 100689, + "Ġvá»ģ": 100690, + "мÑĸ": 100691, + "ÙħÙĦ": 100692, + "mÄ±ÅŁ": 100693, + "à¸Ľà¸£à¸°": 100694, + "οÏį": 100695, + "εί": 100696, + "Ġरह": 100697, + "ним": 100698, + "عد": 100699, + "ĠباÙĦ": 100700, + "¤ij": 100701, + "çł": 100702, + "Ġolm": 100703, + "Ïİν": 100704, + "Ġhá»įc": 100705, + "است": 100706, + "าว": 100707, + "ÙĪب": 100708, + "ÑĸÑı": 100709, + "ĠÙĩاÛĮ": 100710, + "ë§Ī": 100711, + "à¥Į": 100712, + "ĠÄĮ": 100713, + "à¤ı": 100714, + "ادÙĩ": 100715, + "ĠاÙĪ": 100716, + "нÑĭм": 100717, + "ằ": 100718, + "ÙħÙĨ": 100719, + "iá»ĩt": 100720, + "laÅŁ": 100721, + "Ñĸз": 100722, + "ÙĪس": 100723, + "ĠlÃłm": 100724, + "ĠÄijến": 100725, + "पन": 100726, + "ĠÛĮÚ©": 100727, + "ĠÙĦÙĦ": 100728, + "ĠmÄĽ": 100729, + "ĠبراÛĮ": 100730, + "ाह": 100731, + "ĠÙħر": 100732, + "eç": 100733, + "à¸Ńร": 100734, + "εÏģ": 100735, + "ัà¸Ķ": 100736, + "кон": 100737, + "nou": 100738, + "Ġгод": 100739, + "ูà¹ī": 100740, + "à¹Ģล": 100741, + "Úĺ": 100742, + "ĠÄijá»ĭnh": 100743, + "ĠÄijó": 100744, + "анов": 100745, + "ĠÙģر": 100746, + "ارد": 100747, + "ÑĸÑĹ": 100748, + "à¸Ħร": 100749, + "à¥įथ": 100750, + "cak": 100751, + "ÑĨÑĸÑĹ": 100752, + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 100753, + "Ùĩر": 100754, + "à¥ī": 100755, + "Ġgiá»": 100756, + "íĨ": 100757, + "âĢĮÙĩاÛĮ": 100758, + "à¥ģर": 100759, + "Ġà¸ģ": 100760, + "ÅĪ": 100761, + "æ¨": 100762, + "ÎŁÎ": 100763, + "าà¸Ħ": 100764, + "кÑĢаÑĹ": 100765, + "ảo": 100766, + "oÄŁ": 100767, + "Ġसम": 100768, + "Ġviá»ĩc": 100769, + "Ġsẽ": 100770, + "Ġná": 100771, + "ÙĬÙħ": 100772, + "£p": 100773, + "öy": 100774, + "ÙĪز": 100775, + "Ġκα": 100776, + "Ùħد": 100777, + "nÃŃm": 100778, + "ová": 100779, + "ाव": 100780, + "ा।": 100781, + "à¥įस": 100782, + "ç·": 100783, + "ặc": 100784, + "Ġà¸ŀ": 100785, + "ï½Ģ": 100786, + "ôi": 100787, + "Ġợ": 100788, + "οÏĤ": 100789, + "Ġtrên": 100790, + "мÑĥ": 100791, + "ÑģÑĮк": 100792, + "à¸Ł": 100793, + "ovat": 100794, + "Ġmá»": 100795, + "íı": 100796, + "Ġво": 100797, + "εν": 100798, + "à¥Ĥर": 100799, + "گاÙĩ": 100800, + "ĠÄijá»Ļng": 100801, + "Ú©ÙĨ": 100802, + "Ñīи": 100803, + "ĠпÑĢа": 100804, + "ürk": 100805, + "ÙĪع": 100806, + "ấp": 100807, + "ný": 100808, + "Ġquan": 100809, + "ÑĸÑĩ": 100810, + "Ġνα": 100811, + "Ġनह": 100812, + "ĠÚ©ÙĨ": 100813, + "cı": 100814, + "çĿĢ": 100815, + "бо": 100816, + "Ġاس": 100817, + "è»": 100818, + "اÙĨÛĮ": 100819, + "à¸ķร": 100820, + "ÏĦά": 100821, + "ĠØ£ÙĨ": 100822, + "éĤ£": 100823, + "Ġม": 100824, + "кÑĤ": 100825, + "iê": 100826, + "Ġhợp": 100827, + "تÙħ": 100828, + "ĠبÙĨ": 100829, + "hod": 100830, + "ιÏĥ": 100831, + "หà¸Ļ": 100832, + "ĠÑĹ": 100833, + "лив": 100834, + "Ġکرد": 100835, + "ĠÙħØ´": 100836, + "اط": 100837, + "بÙĬ": 100838, + "Ġร": 100839, + "دÙħ": 100840, + "ÙĦاÙħ": 100841, + "à¹Īว": 100842, + "ĠÙĨÙħ": 100843, + "ĠæĹ": 100844, + "éħ": 100845, + "ноÑģÑĤ": 100846, + "iá»ĥm": 100847, + "êµIJ": 100848, + "ayı": 100849, + "ĠبÙĪد": 100850, + "گر": 100851, + "Ġhiá»ĩn": 100852, + "ç³": 100853, + "ÑģÑĤвен": 100854, + "Ġà¤ķरन": 100855, + "ĠÏĦην": 100856, + "Ġà¸Ń": 100857, + "ĠÙħت": 100858, + "ģn": 100859, + "جÙħ": 100860, + "λλ": 100861, + "ĠÑĢе": 100862, + "ิà¸Ķ": 100863, + "ĠاÙĦÙĤ": 100864, + "αÏģ": 100865, + "Ġयह": 100866, + "nÃŃch": 100867, + "ÑĶÑĤÑĮÑģÑı": 100868, + "Ġà¸Ĺ": 100869, + "ÛĮØ´": 100870, + "ÅĻe": 100871, + "Ġnebo": 100872, + "ĠÑĩа": 100873, + "lou": 100874, + "ÑģÑĤво": 100875, + "ĠЧ": 100876, + "à¸Ħว": 100877, + "ÙĩÙħ": 100878, + "à¹Ģà¸Ķ": 100879, + "Ġà¹ģ": 100880, + "Ġà¹Ĥ": 100881, + "Û³": 100882, + "Å©ng": 100883, + "Ġnej": 100884, + "ÛĮÚ©": 100885, + "Ġsá»Ń": 100886, + "Ùģر": 100887, + "Îł": 100888, + "Ġпок": 100889, + "ĠاÙĦÙĨ": 100890, + "ĠvÅ¡": 100891, + "ẫ": 100892, + "ĠnhÃł": 100893, + "ãĢĢãĢĢãĢĢãĢĢãĢĢ": 100894, + "ήÏĤ": 100895, + "οÏģ": 100896, + "ĠÏĩ": 100897, + "à¹Ģà¸Ĺ": 100898, + "ÑĥлÑĮ": 100899, + "ãħĩ": 100900, + "Ġyıl": 100901, + "ÑĢод": 100902, + "ίν": 100903, + "ìĹĪëĭ¤": 100904, + "اص": 100905, + "ĠÄijầu": 100906, + "à¥ĩà¤ķ": 100907, + "ÑĢом": 100908, + "ãģĵãģ¨": 100909, + "Ġار": 100910, + "她": 100911, + "ĠتØŃ": 100912, + "Å¡tÄĽ": 100913, + "à¥įल": 100914, + "à¥įà¤ķ": 100915, + "Ġکار": 100916, + "ujÃŃ": 100917, + "Ġà¤īन": 100918, + "ĠαÏĢÏĮ": 100919, + "ĠmÃł": 100920, + "žÃŃ": 100921, + "Ġà¸Ī": 100922, + "alı": 100923, + "फ": 100924, + "ÑĩеÑģ": 100925, + "ĠعÙĨ": 100926, + "æķĻ": 100927, + "ï¾Ĩ": 100928, + "िà¤Ĥ": 100929, + "Ġsá»±": 100930, + "воÑĢ": 100931, + "Ġthá»±c": 100932, + "ëį°": 100933, + "ãģ¦ãģĦãĤĭ": 100934, + "à¹Īà¸ĩ": 100935, + "تب": 100936, + "Ġnhiá»ģu": 100937, + "ĥn": 100938, + "ĠÄijá»ĵ": 100939, + "Ġห": 100940, + "Ûµ": 100941, + "mÄĽ": 100942, + "ạt": 100943, + "ĠchÃŃnh": 100944, + "μÎŃ": 100945, + "anı": 100946, + "Ġbá»ĭ": 100947, + "ằng": 100948, + "ÅĻed": 100949, + "éŁ": 100950, + "ánh": 100951, + "ÙĢÙĢ": 100952, + "ĠÙħس": 100953, + "á»ĭch": 100954, + "Äĥn": 100955, + "ovánÃŃ": 100956, + "à¹Īาà¸ĩ": 100957, + "Ġà¸Ľ": 100958, + "ĠnÆ°á»Ľc": 100959, + "боÑĤ": 100960, + "ıyor": 100961, + "ĠØ®ÙĪد": 100962, + "Û¹": 100963, + "ĠÙħد": 100964, + "Ġüz": 100965, + "ì½": 100966, + "ÙĪÙĤ": 100967, + "르": 100968, + "лек": 100969, + "Ġcả": 100970, + "олог": 100971, + "à¹īà¸Ńà¸ĩ": 100972, + "miÅŁ": 100973, + "à¹īว": 100974, + "Ä©": 100975, + "Îľ": 100976, + "à¸Ńà¸ģ": 100977, + "＿＿": 100978, + "à¤ĸ": 100979, + "ĠЯ": 100980, + "무": 100981, + "اÛĮÛĮ": 100982, + "ské": 100983, + "uyên": 100984, + "eÅŁ": 100985, + "ái": 100986, + "úng": 100987, + "Ãło": 100988, + "ÑĸÑģ": 100989, + "ç¶": 100990, + "Ġà¤Ĩप": 100991, + "ïº": 100992, + "ÎĽ": 100993, + "Ġê³µ": 100994, + "ĠÐĨ": 100995, + "Ġà¤ħपन": 100996, + "ứng": 100997, + "ÏĮÏĤ": 100998, + "Ġnghiá»ĩ": 100999, + "ĠاÙĦب": 101000, + "à¥ĭन": 101001, + "Ġà¤Ł": 101002, + "Ġìľł": 101003, + "ĠcÅ©ng": 101004, + "Ġà¤īस": 101005, + "Ġड": 101006, + "ĠشدÙĩ": 101007, + "ีà¹ī": 101008, + "Û´": 101009, + "ặt": 101010, + "æĸ¯": 101011, + "Ġëį": 101012, + "Ġпл": 101013, + "би": 101014, + "ê³Ħ": 101015, + "ον": 101016, + "Ġçık": 101017, + "Ġbulun": 101018, + "سÙħ": 101019, + "aç": 101020, + "اÙĨÙĩ": 101021, + "ÛĮز": 101022, + "leÅŁ": 101023, + "ắc": 101024, + "اک": 101025, + "Ġसà¤ķ": 101026, + "ĠоÑĢг": 101027, + "Ġà¸Ļ": 101028, + "ाथ": 101029, + "ĠÙħÙĤ": 101030, + "ĠÎĶE": 101031, + "ÑİÑĤÑĮ": 101032, + "á»Ļc": 101033, + "Ġη": 101034, + "sob": 101035, + "Ġtheo": 101036, + "åŀ": 101037, + "ĠاÙĦØ´": 101038, + "à¹Ģà¸ŀ": 101039, + "ÎŃÏĤ": 101040, + "à¹Ģà¸Ĥ": 101041, + "åĻ": 101042, + "िश": 101043, + "Ġباز": 101044, + "ÑĢоб": 101045, + "Ġγια": 101046, + "με": 101047, + "Ġباش": 101048, + "ाà¤ĩ": 101049, + "Ġquy": 101050, + "λε": 101051, + "اÙĥ": 101052, + "ĠÑĢок": 101053, + "ĠTürk": 101054, + "ĠÐ¥": 101055, + "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ": 101056, + "æ©": 101057, + "Ġphải": 101058, + "à¸Ħวาม": 101059, + ":::": 101060, + "lÃŃ": 101061, + "Ġjsou": 101062, + "ÛĮÙĦ": 101063, + "álnÃŃ": 101064, + "ĶĶ": 101065, + "íĸī": 101066, + "æĥ³": 101067, + "lá": 101068, + "ĠÏĥÏħ": 101069, + "Ñĭва": 101070, + "Ġnhất": 101071, + "à¸Ńม": 101072, + "Û¸": 101073, + "ecek": 101074, + "ÑĸÑĢ": 101075, + "ÙĪØ´": 101076, + "λα": 101077, + "ĠÎĴ": 101078, + "оÑĢа": 101079, + "Ùģت": 101080, + "edir": 101081, + "ÑĥÑħ": 101082, + "ä¸ĸ": 101083, + "ĠУкÑĢаÑĹ": 101084, + "ĠíĶ": 101085, + "άν": 101086, + "Ġشر": 101087, + "ĠاÙĦج": 101088, + "еÑĢед": 101089, + "ìĺģ": 101090, + "ĠhÃłnh": 101091, + "￣￣": 101092, + "ме": 101093, + "ÑİÑĤÑģÑı": 101094, + "ĠØ¥ÙĦÙī": 101095, + "ìĹħ": 101096, + "Ġتر": 101097, + "ком": 101098, + "Ġشد": 101099, + "ĠاÙĦÙĥ": 101100, + "ĠÏĥÏĦο": 101101, + "à¥įद": 101102, + "볤": 101103, + "ÑĥваннÑı": 101104, + "Ġthì": 101105, + "ê´Ģ": 101106, + "κε": 101107, + "سب": 101108, + "íĥĢ": 101109, + "Ġï¼ı": 101110, + "Ġà¹ģละ": 101111, + "ĠÏĮ": 101112, + "ниÑĨ": 101113, + "ĠÐĿа": 101114, + "Ñıв": 101115, + "lü": 101116, + "ιο": 101117, + "ÙĨدÙĩ": 101118, + "ÙĦÙĥ": 101119, + "ĠngÃły": 101120, + "Ġnhân": 101121, + "Ġ^{": 101122, + "à¥ĥ": 101123, + "Ġgerek": 101124, + "ارÙĩ": 101125, + "ĠcÆ¡": 101126, + "Ġà¸ķ": 101127, + "æĤ": 101128, + "çĶ°": 101129, + "à¥Īà¤Ĥ।": 101130, + "ัว": 101131, + "vÄĽ": 101132, + "öz": 101133, + "или": 101134, + "Ġpháp": 101135, + "ê¸Ī": 101136, + "ĠÎŁ": 101137, + "ĠpÅĻi": 101138, + "Ġìĸ´": 101139, + "Ġдол": 101140, + "ÙĪرد": 101141, + "à¹Ģม": 101142, + "Ïĥε": 101143, + "าà¸Ĺ": 101144, + "oÃłi": 101145, + "รม": 101146, + "Û¶": 101147, + "Ġà¸ļ": 101148, + "iyet": 101149, + "ÏĦαι": 101150, + "ìĦł": 101151, + "ĠεÏĢ": 101152, + "िव": 101153, + "ê¹Į": 101154, + "га": 101155, + "ĠÑģлÑĥ": 101156, + "Ġhình": 101157, + "ĠداÙĨ": 101158, + "Ġà¤Ĺय": 101159, + "ÙĬا": 101160, + "èij": 101161, + "à¤Ĥत": 101162, + "ĠساÙĦ": 101163, + "ëłĪ": 101164, + "lerin": 101165, + "à¥ĩत": 101166, + ".:.:.:.:": 101167, + "Ġëħ": 101168, + "ĠاÙĦØ¥": 101169, + "ảng": 101170, + "èĦ": 101171, + "ολ": 101172, + "пов": 101173, + "Ġθ": 101174, + "Û·": 101175, + "Ġnó": 101176, + "ĠdÃ¼ÅŁ": 101177, + "Ġtiế": 101178, + "ÙĪج": 101179, + "Ġjsem": 101180, + "ạng": 101181, + "ãģĤãĤĭ": 101182, + "à¸Ńà¸ļ": 101183, + "ÙĪÙĬ": 101184, + "à¤ķर": 101185, + "Ġде": 101186, + "¯¼": 101187, + "Ġно": 101188, + "ÑĨÑĸй": 101189, + "ÏĥÏĦ": 101190, + "кие": 101191, + "Ïĥει": 101192, + "ìķĪ": 101193, + "ĠhÆ¡n": 101194, + "Ġà¤ķह": 101195, + "اض": 101196, + "ì¸": 101197, + "ãĥŁ": 101198, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 101199, + "ãĤĪãģĨ": 101200, + "ा,": 101201, + "еÑĢи": 101202, + "ë©°": 101203, + "íĶĦ": 101204, + "ĠпоÑģÑĤ": 101205, + "خر": 101206, + "à¥ĭत": 101207, + "âu": 101208, + "кой": 101209, + "daki": 101210, + "íħ": 101211, + "::::::::::::::::": 101212, + "Ġöz": 101213, + "ÑĢаж": 101214, + "nÃŃho": 101215, + "หล": 101216, + "ĠÏĥÏĦη": 101217, + "ĠÄijá»ģ": 101218, + "Ġká»": 101219, + "iá»ĥn": 101220, + "ÅĻi": 101221, + "Ġkteré": 101222, + "¢ħ": 101223, + "üç": 101224, + "ÙĬÙģ": 101225, + "Ġlý": 101226, + "Ġthá»Ŀi": 101227, + "ĠìĨĮ": 101228, + "нÑĮ": 101229, + "ÐĨ": 101230, + "ÑĤÑĢ": 101231, + "à¸ĩาà¸Ļ": 101232, + "коÑĹ": 101233, + "μο": 101234, + "Ġsür": 101235, + "uyá»ģn": 101236, + "ĠÙħا": 101237, + "à¤Ĥà¤Ĺ": 101238, + "ĠÄijá»ĵng": 101239, + "òn": 101240, + "à¥ģल": 101241, + "à¥įप": 101242, + "λη": 101243, + "Ùħر": 101244, + "пÑĢи": 101245, + "iyle": 101246, + "ाप": 101247, + "Ġà¤ħन": 101248, + "ĠÑĶ": 101249, + "Ġyön": 101250, + "ÙĦÙģ": 101251, + "adır": 101252, + "á½": 101253, + "Ġê³ł": 101254, + "خص": 101255, + "imiz": 101256, + "åľĭ": 101257, + "Ġнад": 101258, + "ĠÅĻ": 101259, + "ноÑģÑĤÑĸ": 101260, + "ĠاÙģ": 101261, + "анÑĸ": 101262, + "à¥ĩà¤Ł": 101263, + "Ġë§IJ": 101264, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 101265, + "ĠìĬ¤": 101266, + "ิà¸ķ": 101267, + "åĦ": 101268, + "ÛĮÙĩ": 101269, + "оÑĪ": 101270, + "žit": 101271, + "ìĭ¤": 101272, + "à¥Ģन": 101273, + "Ġî": 101274, + "æ¥Ń": 101275, + "à¥ĩन": 101276, + "ĠØ°": 101277, + "Ġloại": 101278, + "à¹Ħà¸Ľ": 101279, + "Ñĸк": 101280, + "ĠкÑĢа": 101281, + "à¥ĭर": 101282, + "ุà¸Ķ": 101283, + "ĠاÙĦر": 101284, + "ĠÑģоб": 101285, + "าà¸Ĭ": 101286, + "Ġसà¤ķत": 101287, + "ĠÎĿ": 101288, + "اÙħÙĩ": 101289, + "à¹īาà¸Ļ": 101290, + "Ġtrình": 101291, + "ĠاÙĦÙģ": 101292, + "ĠاÙĦد": 101293, + "unun": 101294, + "оÑĤов": 101295, + "Æ°á»Ł": 101296, + "ĠÑģво": 101297, + "ίαÏĤ": 101298, + "ấn": 101299, + "огда": 101300, + "à¸Ĺย": 101301, + "Ġbyl": 101302, + "ØŃد": 101303, + "à¸ģล": 101304, + "بÙĩ": 101305, + "ĠvÄĽ": 101306, + "被": 101307, + "ĠØ¢Ùħ": 101308, + "ĠÄijiá»ģu": 101309, + "å¨": 101310, + "Ġkdy": 101311, + "ĠبÙĪ": 101312, + "ẫn": 101313, + "ìľł": 101314, + "ाà¤ķ": 101315, + "ků": 101316, + "ĠtrÆ°á»Ŀng": 101317, + "ické": 101318, + "ниÑı": 101319, + "ĠÏĢοÏħ": 101320, + "Æ°á»Łng": 101321, + "номÑĥ": 101322, + "à¹Īà¸Ļ": 101323, + "ูà¹Ī": 101324, + "Ġkết": 101325, + "Ġï¼¼": 101326, + "Ġìĭł": 101327, + "iç": 101328, + "ĠnÄĥng": 101329, + "ÄįÃŃ": 101330, + "ÑĤÑı": 101331, + "ÑĢеб": 101332, + "Ùĭا": 101333, + "Ú¯ÛĮ": 101334, + "ãĥİ": 101335, + "ĠkarÅŁ": 101336, + "вÑĸ": 101337, + "Ġphần": 101338, + "à¸Īะ": 101339, + "ắt": 101340, + "رة": 101341, + "ิà¸ĩ": 101342, + "ิà¹Ī": 101343, + "ाà¤Ī": 101344, + "าà¸ŀ": 101345, + "ÙĨÛĮ": 101346, + "ìĹ°": 101347, + "bÄĽ": 101348, + "ĠاÙĦص": 101349, + "íĹ": 101350, + "Ġسر": 101351, + "lara": 101352, + "ëĭ¨": 101353, + "ĠÙĤر": 101354, + "èİ": 101355, + "بد": 101356, + "Ġйого": 101357, + "à¥įह": 101358, + "Ġcách": 101359, + "íķĺê³ł": 101360, + "ĠÏĢÏģο": 101361, + "Ġتع": 101362, + "ĴĪ": 101363, + "Ġвод": 101364, + "ç¥ŀ": 101365, + "ким": 101366, + "Ġdá»±": 101367, + "à¹Ģห": 101368, + "ана": 101369, + "Ġï½": 101370, + "ĠbaÄŁ": 101371, + "Ġपह": 101372, + "Ġcao": 101373, + "ÏģÏĮ": 101374, + "ÙĨج": 101375, + "ाà¤ı": 101376, + "Ġå¹´": 101377, + "Ġnghiá»ĩp": 101378, + "Û²Û°": 101379, + "каÑı": 101380, + "Ïģί": 101381, + "Ġбол": 101382, + "Ġgiá": 101383, + "Ġзд": 101384, + "à¥ĩल": 101385, + "Ġcấp": 101386, + "à¹Ģส": 101387, + "Ïģγ": 101388, + "ĠìĤ": 101389, + "dÄĽ": 101390, + "à¥ģन": 101391, + "ìĪ": 101392, + "ılan": 101393, + "лаÑģ": 101394, + "Ġว": 101395, + "ĠÏĥε": 101396, + "ĠØ«": 101397, + "ĠЦ": 101398, + "çĤº": 101399, + "Ġbüy": 101400, + "еÑĨ": 101401, + "太": 101402, + "Ġबन": 101403, + "огÑĢа": 101404, + "ĠпÑĢоÑĤ": 101405, + "Ġlượng": 101406, + "Ġdön": 101407, + "รà¸ĩ": 101408, + "ало": 101409, + "ĠجÙħ": 101410, + "à¥Ī,": 101411, + "Ġ미": 101412, + "Ġê¹": 101413, + "ÙĪت": 101414, + "à¥Ģय": 101415, + "à¸Īาà¸ģ": 101416, + "Ġchất": 101417, + "Ω": 101418, + "Ġkhác": 101419, + "Ġtháng": 101420, + "jÅ¡ÃŃ": 101421, + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł": 101422, + "á»ijt": 101423, + "หร": 101424, + "Ñĸл": 101425, + "åħī": 101426, + "åĤ": 101427, + "ÙĦØ©": 101428, + "Ġê±°": 101429, + "овоÑĢ": 101430, + "iá»ĥu": 101431, + "ĠмеÑĤ": 101432, + "аÑĶ": 101433, + "ĠÑĩаÑģ": 101434, + "Ïģε": 101435, + "ì¹´": 101436, + "âĢĮØ´": 101437, + "물": 101438, + "úc": 101439, + "âĢĮÙĩا": 101440, + "iá»ģn": 101441, + "stav": 101442, + "íŀ": 101443, + "ĠÙĨظ": 101444, + "ĨĴ": 101445, + "ĠÏĦα": 101446, + "Ġзаб": 101447, + "ÙĥØ©": 101448, + "ĠгÑĢÑĥ": 101449, + "во": 101450, + "ĠÙħج": 101451, + "Ġsah": 101452, + "بÙĦ": 101453, + "عة": 101454, + "ÑĥÑĪ": 101455, + "ĠÑĤем": 101456, + "íĭ": 101457, + "eck": 101458, + "ÏīÏĤ": 101459, + "ÙĬت": 101460, + "ìĹĪ": 101461, + "çĭ": 101462, + "ذا": 101463, + "ìłĢ": 101464, + "ĠнаÑģ": 101465, + "ĠпоÑĩ": 101466, + "æł¡": 101467, + "ÏĪ": 101468, + "Ñģкой": 101469, + "üc": 101470, + "ÙĤÙĦ": 101471, + "Ġпоз": 101472, + "ĠоÑģоб": 101473, + "าล": 101474, + "нÑĭми": 101475, + "олод": 101476, + "è¼": 101477, + "ĠدÛĮ": 101478, + "ĠÑĥÑģÑĤ": 101479, + "Ġ무": 101480, + "ÙĬس": 101481, + "ë°©": 101482, + "à¥įà¤ļ": 101483, + "ила": 101484, + "Ġnên": 101485, + "ние": 101486, + "ιν": 101487, + "larını": 101488, + "à¹Ģà¸Ļ": 101489, + "ÙĨت": 101490, + "aģı": 101491, + "ımız": 101492, + "ĠاÙĦØ®": 101493, + "à¹Ģว": 101494, + "à¥įन": 101495, + "ĠÏħ": 101496, + "ĠíĨ": 101497, + "ẻ": 101498, + "ิà¹Ĥ": 101499, + "αÏĤ": 101500, + "меÑĤ": 101501, + "Ġzp": 101502, + "Ġjeho": 101503, + "ียà¸Ļ": 101504, + "ÑĦоÑĢ": 101505, + "ınız": 101506, + "klad": 101507, + "íĮĮ": 101508, + "uyá»ĩ": 101509, + "ιά": 101510, + "ĠãĢģ": 101511, + "شر": 101512, + "æ©Ł": 101513, + "Ġتا": 101514, + "Ġзна": 101515, + "ستاÙĨ": 101516, + "à¥ĩर": 101517, + "매": 101518, + "çĥ": 101519, + "Ġже": 101520, + "าà¸Ķ": 101521, + "Ġض": 101522, + "éŃ": 101523, + "Ġназ": 101524, + "ĠÛĮا": 101525, + "ené": 101526, + "ัย": 101527, + "íĸĪëĭ¤": 101528, + "Ġبد": 101529, + "à¥ģà¤ķ": 101530, + "ÑĤов": 101531, + "ì°¨": 101532, + "Ùĩد": 101533, + "à¸Ķย": 101534, + "Ġhoặc": 101535, + "ĠÐŁÑĢи": 101536, + "ÙĨا": 101537, + "çİĭ": 101538, + "ÑĥваÑĤи": 101539, + "à¸ļร": 101540, + "Ġà¤ķरत": 101541, + "ÏĥηÏĤ": 101542, + "ؤ": 101543, + "éķ·": 101544, + "åħĭ": 101545, + "Ġدار": 101546, + "ัà¹Ī": 101547, + "Æ¡i": 101548, + "าà¸Ī": 101549, + "ými": 101550, + "ấu": 101551, + "Ġدست": 101552, + "kem": 101553, + "ĠоÑģнов": 101554, + "모": 101555, + "Ïģά": 101556, + "æħ": 101557, + "Ġاب": 101558, + "士": 101559, + "Ħĸ": 101560, + "ÎĶ": 101561, + "ÙĬÙĥ": 101562, + "íİ": 101563, + "Ġyüz": 101564, + "adı": 101565, + "าà¸ķ": 101566, + "ä»Ģ": 101567, + "ìĿ´ëĭ¤": 101568, + "Ġzv": 101569, + "ĠtÄĽ": 101570, + "Ġíĸ": 101571, + "थ": 101572, + "Ġलà¤Ĺ": 101573, + "ìĺĢ": 101574, + "Ġан": 101575, + "çĹ": 101576, + "ìĹŃ": 101577, + "нÑĸÑģÑĤÑĮ": 101578, + "Åŀ": 101579, + "Ġphát": 101580, + "ÙĤØ©": 101581, + "Ġthế": 101582, + "Ġï¾": 101583, + "ì²ľ": 101584, + "ĠìĦł": 101585, + "à¹ĥà¸Ĭ": 101586, + "iêu": 101587, + "ÄŁini": 101588, + "ÙĤد": 101589, + "Ġkterý": 101590, + "Ñģкий": 101591, + "à¥įड": 101592, + "tadır": 101593, + "ĠÑģм": 101594, + "ÙĪÙģ": 101595, + "ارÙĬ": 101596, + "å¾·": 101597, + "ิม": 101598, + "خت": 101599, + "å¾Ī": 101600, + "ĠгоÑĢ": 101601, + "ï¼ĮæĪij": 101602, + "Ġìĺģ": 101603, + "ĠëıĻ": 101604, + "Ñģа": 101605, + "à¹Ģà¸Ħ": 101606, + "민": 101607, + "ึà¹Ī": 101608, + "Ġliên": 101609, + "ĠÙĩا": 101610, + "lerini": 101611, + "ĠÑĨе": 101612, + "اÙĦÛĮ": 101613, + "Ġमह": 101614, + "Ġvụ": 101615, + "Ġxuất": 101616, + "ิà¸ģ": 101617, + "ĠпÑĢоÑĨ": 101618, + "Ġαν": 101619, + "ÑĢим": 101620, + "Ġcần": 101621, + "ĠиÑħ": 101622, + "ноÑİ": 101623, + "ĠtÃŃnh": 101624, + "Ġbá»Ļ": 101625, + "Ñĸм": 101626, + "ĠnháºŃn": 101627, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 101628, + "ÙĬÙĩ": 101629, + "äºļ": 101630, + "Ġобла": 101631, + "Ġà¤ĺ": 101632, + "ných": 101633, + "æĿij": 101634, + "ÙĦس": 101635, + "Ġнеоб": 101636, + "ابة": 101637, + "vá": 101638, + "οÏħν": 101639, + "ÑĢеÑĤ": 101640, + "asında": 101641, + "Ġyar": 101642, + "ĠÄijiá»ĥm": 101643, + "нÑİ": 101644, + "ाà¤Ĺ": 101645, + "ĠÚ©Ø´": 101646, + "Ñĥз": 101647, + "Ġà¸Ķ": 101648, + "ảm": 101649, + "ками": 101650, + "ĠÎĻ": 101651, + "à¹Ģà¸ķ": 101652, + "ĠlỼ": 101653, + "ÙĤÛĮ": 101654, + "kou": 101655, + "ÙĦب": 101656, + "ива": 101657, + "æĵ": 101658, + "ẹ": 101659, + "κα": 101660, + "ë²ķ": 101661, + "èĤ²": 101662, + "á»ijn": 101663, + "Ġbelir": 101664, + "íĨł": 101665, + "ÏĦή": 101666, + "ÑĭÑĪ": 101667, + "ãĤĥ": 101668, + "Ġабо": 101669, + "ský": 101670, + "à¥Īस": 101671, + "ĠпÑĢоÑģÑĤ": 101672, + "ektedir": 101673, + "až": 101674, + "à¹Īà¸Ń": 101675, + "ĠоÑģÑĤ": 101676, + "Ġbảo": 101677, + "Ġ大": 101678, + "Ñĭм": 101679, + "Ġmů": 101680, + "Æ°á»Ľng": 101681, + "åıĹ": 101682, + "ÙĪÙĩ": 101683, + "ĠÑĥп": 101684, + "ÙĥÙĨ": 101685, + "ĠÏĦÏīν": 101686, + "ëħ¸": 101687, + "Ġà¸Ĭ": 101688, + "ĠÑĤого": 101689, + "ĠШ": 101690, + "ìĿ´íĬ¸": 101691, + "à¹Ģà¸Ń": 101692, + "инÑĥ": 101693, + "ĺħ": 101694, + "uyá»ĥn": 101695, + "íĴĪ": 101696, + "ạnh": 101697, + "Ġãĥ½": 101698, + "ÑĤобÑĭ": 101699, + "Ġtạo": 101700, + "å·Ŀ": 101701, + "ĠÄijá»iji": 101702, + "ĠëıĦ": 101703, + "ä¹ħ": 101704, + "ĠتÙħ": 101705, + "аÑĢи": 101706, + "stvÃŃ": 101707, + "Ġcùng": 101708, + "íŀĪ": 101709, + "Ġtarih": 101710, + "ì¤ij": 101711, + "íĤ": 101712, + "ĠدÙĪ": 101713, + "ì¡": 101714, + "алÑĸ": 101715, + "à¸IJ": 101716, + "Ġcòn": 101717, + "иÑĤÑĮÑģÑı": 101718, + "Ġवह": 101719, + "ÅĻeb": 101720, + "鼻": 101721, + "Ġми": 101722, + "ovÄĽ": 101723, + "Ġdân": 101724, + "ÑĨÑĸÑı": 101725, + "ÛĮست": 101726, + "åѸ": 101727, + "Ġür": 101728, + "صÙĦ": 101729, + "ÑĢиÑĤ": 101730, + "าห": 101731, + "ãģ¦ãģĦãģŁ": 101732, + "θη": 101733, + "çĸ": 101734, + "ØŁ": 101735, + "iÅŁtir": 101736, + "ĠУкÑĢаÑĹни": 101737, + "ë°ĺ": 101738, + "à¥ĩà¤ĸ": 101739, + "Ġvá»ĭ": 101740, + "Î¥": 101741, + "ĠãĢĢĠãĢĢĠãĢĢ": 101742, + "Ġbằng": 101743, + "Ġtá»ķ": 101744, + "оли": 101745, + "à¹Ĩ": 101746, + "ezi": 101747, + "Ġни": 101748, + "ĠÎĽ": 101749, + "Ġrất": 101750, + "μÏĢ": 101751, + "жд": 101752, + "ारत": 101753, + "Ġuž": 101754, + "à¥ĩस": 101755, + "اÙĨد": 101756, + "Ġbý": 101757, + "à¥ĭल": 101758, + "dÄĽl": 101759, + "ìķĺ": 101760, + "Ġجد": 101761, + "å³": 101762, + "ืà¹ī": 101763, + "Ġbản": 101764, + "ạch": 101765, + "ĠÅŁey": 101766, + "ĠÙĩر": 101767, + "Ġjen": 101768, + "ĠвÑĸн": 101769, + "esinde": 101770, + "Ġहम": 101771, + "çłĶ": 101772, + "à¸ļà¸ļ": 101773, + "Ġchức": 101774, + "ึà¸ĩ": 101775, + "malar": 101776, + "ĠdeÄŁil": 101777, + "æĿ±": 101778, + "Ġtác": 101779, + "ĠkiÅŁ": 101780, + "Ġtá»±": 101781, + "à¥įध": 101782, + "à¸Ļà¸Ĺ": 101783, + "ÎŁÎ¥": 101784, + "ÑģÑĮкого": 101785, + "Ġध": 101786, + "ĠìĿĺ": 101787, + "ÙĨØ©": 101788, + "üs": 101789, + "è«": 101790, + "Ġtarafından": 101791, + "ħn": 101792, + "Ġkinh": 101793, + "Ïĥι": 101794, + "à¥Ģà¤ķ": 101795, + "íı¬": 101796, + "اÙħÙĦ": 101797, + "ĠViá»ĩt": 101798, + "ĠÏĦον": 101799, + "ĠتÙĨ": 101800, + "Ġà¤ħध": 101801, + "à¹Īาà¸Ļ": 101802, + "rı": 101803, + "à¤Ĥद": 101804, + "éª": 101805, + "Ġchúng": 101806, + "ги": 101807, + "ÏĦαν": 101808, + "Ġдоп": 101809, + "нÑĸй": 101810, + "оналÑĮ": 101811, + "Îĵ": 101812, + "Ġbüyük": 101813, + "á¼": 101814, + "à¥Ģर": 101815, + "Ø°Ùĩ": 101816, + "ĠìķĦìĿ´": 101817, + "Ġdoanh": 101818, + "ĠÅĻÃŃ": 101819, + "ÑĨÑı": 101820, + "ĠtÆ°": 101821, + "Ġसर": 101822, + "ĠmÃŃst": 101823, + "Ġë°ı": 101824, + "Ø´ÙĨ": 101825, + "Ñĸб": 101826, + "ĠãĢĢãĢĢ": 101827, + "çĻ½": 101828, + "оÑģп": 101829, + "кÑĸв": 101830, + "Ġtế": 101831, + "ãģŃ": 101832, + "ĠtỼi": 101833, + "Ġìļ°": 101834, + "æľĥ": 101835, + "اÛĮد": 101836, + "æ§": 101837, + "ìłIJ": 101838, + "Ġdurum": 101839, + "à¹Ģà¸Ĭ": 101840, + "à¥Ģत": 101841, + "ĠÙĩÙĪ": 101842, + "à¥Ĥप": 101843, + "Ġgöre": 101844, + "ĠÑĢоб": 101845, + "Ġthiết": 101846, + "ajÃŃ": 101847, + "ĠاÛĮراÙĨ": 101848, + "âĢı": 101849, + "ÑģÑĮкоÑĹ": 101850, + "çħ": 101851, + "ĠìĦ¸": 101852, + "ừ": 101853, + "Ġà¸Ĥ": 101854, + "ům": 101855, + "ëŀĮ": 101856, + "ική": 101857, + "Ġмог": 101858, + "ÙĨÙĬ": 101859, + "ãģļ": 101860, + "ाब": 101861, + "æ¢": 101862, + "عÙĩ": 101863, + "ÑĶм": 101864, + "Ġά": 101865, + "οÏħÏĤ": 101866, + "زار": 101867, + "ê±´": 101868, + "ská": 101869, + "ĠاÙĬ": 101870, + "Ġilg": 101871, + "Ġsı": 101872, + "eleri": 101873, + "ĠÎĹ": 101874, + "uyor": 101875, + "ष": 101876, + "िम": 101877, + "ева": 101878, + "ä»Ģä¹Ī": 101879, + "ุà¹Ī": 101880, + "à¹īาà¸ĩ": 101881, + "Ġhiá»ĩu": 101882, + "Ġاع": 101883, + "Ġözel": 101884, + "νη": 101885, + "ëĦ¤": 101886, + "ĠtoÃłn": 101887, + "Ġmoh": 101888, + "ĠÑıкÑĸ": 101889, + "çĬ": 101890, + "maktadır": 101891, + "تاب": 101892, + "ĠÑģÑĥ": 101893, + "Ġyük": 101894, + "ĠΧ": 101895, + "зна": 101896, + "оÑħ": 101897, + "Æ°u": 101898, + "à¸Ĺร": 101899, + "ãħĭ": 101900, + "ĠkarÅŁÄ±": 101901, + "ÙħÛĮ": 101902, + "ĠÑĨÑĸ": 101903, + "ادÛĮ": 101904, + "à¥Ģ।": 101905, + "Ïģη": 101906, + "лов": 101907, + "夫": 101908, + "Ġphân": 101909, + "Ġпоп": 101910, + "ç·ļ": 101911, + "Ñıн": 101912, + "ุà¸ĵ": 101913, + "ÑģÑĤÑĥп": 101914, + "ίναι": 101915, + "ĠÑĢокÑĥ": 101916, + "larda": 101917, + "è»Ĭ": 101918, + "ÏģÏī": 101919, + "ÙĪاÙĩ": 101920, + "èħ": 101921, + "à¥įरत": 101922, + "å·±": 101923, + "ĠÑĢÑĥ": 101924, + "Ġthá»ĭ": 101925, + "ĠÄijiá»ĩn": 101926, + "ìĸij": 101927, + "ného": 101928, + "สม": 101929, + "ê°ģ": 101930, + "acÃŃ": 101931, + "Ġгода": 101932, + "kaz": 101933, + "Ġböl": 101934, + "Ġgian": 101935, + "à¸Ľà¸£": 101936, + "ï¾ŀ": 101937, + "ัà¸ķ": 101938, + "Ġgerç": 101939, + "Ġاج": 101940, + "Ġή": 101941, + "ÙijÙİ": 101942, + "Ñģкого": 101943, + "ÑĢаÑħ": 101944, + "ĠÅł": 101945, + "Ġà¤Ľ": 101946, + "оÑģÑĤÑĸ": 101947, + "본": 101948, + "ÑģÑĮкий": 101949, + "Û±Û¹": 101950, + "Ñĥва": 101951, + "اÙĦÙħ": 101952, + "ĠÙħص": 101953, + "ëįĺ": 101954, + "bÃŃ": 101955, + "ĠÙĪج": 101956, + "ÏĦÏĮ": 101957, + "ebilir": 101958, + "Ġtiếp": 101959, + "é¤": 101960, + "Ġä¸Ģ": 101961, + "ĠÑģÑĢед": 101962, + "ëĤ¨": 101963, + "εÏģι": 101964, + "اث": 101965, + "Ñģов": 101966, + "Ïĩε": 101967, + "Ġë¶Ħ": 101968, + "Ġtaké": 101969, + "Ġdüz": 101970, + "Ġíıī": 101971, + "Ġاص": 101972, + "ĠÏĥÏĦην": 101973, + "ë°Ķ": 101974, + "Ġhá»Ļi": 101975, + "رÙĩ": 101976, + "بÛĮ": 101977, + "ве": 101978, + "ĠاÙĦØ·": 101979, + "ĠÑĢез": 101980, + "بار": 101981, + "Ġgiải": 101982, + "ãģ«ãģª": 101983, + "oleÄį": 101984, + "à¤ł": 101985, + ";:": 101986, + "ä½ı": 101987, + "Ú©Ùĩ": 101988, + "ĠΦ": 101989, + "ĠÑĥÑĩ": 101990, + "âĹıâĹı": 101991, + "ูà¸ģ": 101992, + "à¥ĩव": 101993, + "Ïĥα": 101994, + "ĠاÙĨت": 101995, + "Ġвп": 101996, + "Ġquả": 101997, + "enin": 101998, + "ĠêµIJ": 101999, + "μά": 102000, + "کت": 102001, + "ÙĤÙĩ": 102002, + "ĠTürkiye": 102003, + "Ġthức": 102004, + "íĹĺ": 102005, + "iá»ĩm": 102006, + "Ġतà¤ķ": 102007, + "Ġéĩ": 102008, + "़ा": 102009, + "ĠØ£ÙĪ": 102010, + "ále": 102011, + "究": 102012, + "ĠÅŁekil": 102013, + "кого": 102014, + "ÑĪиÑħ": 102015, + "اÛĮØ´": 102016, + "تÙĨ": 102017, + "ней": 102018, + "à¸Ĺำ": 102019, + "ĠÑıв": 102020, + "رÙħ": 102021, + "Ġmáy": 102022, + "หม": 102023, + "ıyla": 102024, + "Ġcầu": 102025, + "Ġдоб": 102026, + "Ġìŀ¥": 102027, + "ový": 102028, + "ικÏĮ": 102029, + "Ġãħĩ": 102030, + "ĠÑĤеÑĢ": 102031, + "ĮĴ": 102032, + "سÙĬ": 102033, + "ĠoluÅŁ": 102034, + "Ġbyla": 102035, + "عÙĦ": 102036, + "ĠÙĥاÙĨ": 102037, + "боÑĢ": 102038, + "ì²Ń": 102039, + "ãĥı": 102040, + "ubl": 102041, + "Ġاخ": 102042, + "ÙĦÙĪد": 102043, + "تÙĬ": 102044, + "ladı": 102045, + "ĠÃ¶ÄŁ": 102046, + "ruh": 102047, + "ç¿": 102048, + "Ġبعد": 102049, + "ÎĻÎij": 102050, + "idir": 102051, + "ãģ«ãģ¯": 102052, + "Ġsöy": 102053, + "Ġkhách": 102054, + "ÑĨе": 102055, + "ĠØ´ÙĪد": 102056, + "ç¸": 102057, + "Ġëħ¸": 102058, + "úp": 102059, + "Ġneden": 102060, + "Ġhóa": 102061, + "Ġà¤īप": 102062, + "ÏĥειÏĤ": 102063, + "æĪ¿": 102064, + "Ġ³³": 102065, + "ĠìķĮ": 102066, + "à¥Ģ,": 102067, + "´ij": 102068, + "êu": 102069, + "ÑĢок": 102070, + "à¹Ģà¸Ī": 102071, + "Ġείναι": 102072, + "ĠبÙĦ": 102073, + "ĠÑģов": 102074, + "Ġönem": 102075, + "Ġà¸ĭ": 102076, + "ì§Ģë§Į": 102077, + "å®ĺ": 102078, + "격": 102079, + "ìĦĿ": 102080, + "Ġaž": 102081, + "Ġduy": 102082, + "ãģ¨ãģĦ": 102083, + "ØĽ": 102084, + "δο": 102085, + "θε": 102086, + "ÙĥاÙĨ": 102087, + "ढ": 102088, + "ाà¤ĵ": 102089, + "Ġdá»ĭch": 102090, + "á»Ļng": 102091, + "สำ": 102092, + "Äı": 102093, + "ĠÑĹÑħ": 102094, + "αλ": 102095, + "eÄį": 102096, + "ç²¾": 102097, + "Ġзв": 102098, + "èĩªå·±": 102099, + "ĠاÙĦÙĦÙĩ": 102100, + "ĠСÑĤ": 102101, + "ĠسÙĨÚ¯": 102102, + "Ġдом": 102103, + "гоÑĤов": 102104, + "повÑĸд": 102105, + "ĠBá»Ļ": 102106, + "à¥įयà¤ķ": 102107, + "طة": 102108, + "мов": 102109, + "à¸Ĺาà¸ĩ": 102110, + "ึà¸ģ": 102111, + "ĠÑĸз": 102112, + "à¥ĭà¤ľ": 102113, + "Ġgöster": 102114, + "Ġباشد": 102115, + "ileri": 102116, + "ĠÑģеб": 102117, + "Ñīо": 102118, + "Ġãħĩãħĩ": 102119, + "بت": 102120, + "Ñģе": 102121, + "à¥ĩà¤ľ": 102122, + "Ġlên": 102123, + "ĠتÙĪ": 102124, + "ÑĸÑģÑĤÑĮ": 102125, + "ï¾Ĩï¾Ĩ": 102126, + "ĠthÆ°á»Ŀng": 102127, + "ĠolduÄŁu": 102128, + "vÄĽt": 102129, + "ìĨį": 102130, + "ãģĿãģĨ": 102131, + "ĠìĦ±": 102132, + "ë°ľ": 102133, + "Ġà¸ģาร": 102134, + "ĠØ´Ùĩر": 102135, + "sled": 102136, + "ảnh": 102137, + "æŀĹ": 102138, + "lacak": 102139, + "Ġmình": 102140, + "Ú©ÛĮ": 102141, + "Ġà¹ĥà¸Ļ": 102142, + "Ġdùng": 102143, + "ĠмаÑģ": 102144, + "ÑĦек": 102145, + "æ°Ķ": 102146, + "é§": 102147, + "ĠاØŃ": 102148, + "èµ°": 102149, + "ÎĻÎļ": 102150, + "à¥ĩ।": 102151, + "ÑģÑĮка": 102152, + "ĠÑĩаÑģÑĤ": 102153, + "larının": 102154, + "Ġê¹Ģ": 102155, + "층": 102156, + "ними": 102157, + "èªŀ": 102158, + "åĢĭ": 102159, + "ĠêµŃ": 102160, + "коÑĢ": 102161, + "maya": 102162, + "ิà¹Ĥà¸Ļ": 102163, + ".ศ": 102164, + "Ġhá»ĩ": 102165, + "ĠتÙĤ": 102166, + "γκ": 102167, + "Ġà¤Ĩपà¤ķ": 102168, + "ÑģÑĤоÑĢ": 102169, + "ĠÄijo": 102170, + "Ġchủ": 102171, + "اÛĮت": 102172, + "ĠQuá»ijc": 102173, + "глÑı": 102174, + "ãĢĤãĢįĊĊ": 102175, + "ĠnÃło": 102176, + "à¸Ńล": 102177, + "æĬĬ": 102178, + "ÙĪرت": 102179, + "Ġbude": 102180, + "æĽ¸": 102181, + "elik": 102182, + "ĠجÙĩ": 102183, + "ĠبÙĪابة": 102184, + "èĬ±": 102185, + "دار": 102186, + "Ġbýt": 102187, + "Ñĩе": 102188, + "ãĤĵãģł": 102189, + "ĠÙħØ·": 102190, + "lere": 102191, + "ÎĹΣ": 102192, + "íĺķ": 102193, + "âĸį": 102194, + "ÄŁu": 102195, + "Ġвз": 102196, + "ÙĬز": 102197, + "ĠÐłÐ¾Ñģ": 102198, + "íĭ°": 102199, + "Ġداش": 102200, + "ì§ij": 102201, + "atı": 102202, + "mesi": 102203, + "ãĤīãĤĮ": 102204, + "ův": 102205, + "rát": 102206, + "оÑģоб": 102207, + "åIJĦ": 102208, + "uyá»ĩn": 102209, + "åģļ": 102210, + "üst": 102211, + "éĩİ": 102212, + "αÏĥ": 102213, + "Ġmặt": 102214, + "елов": 102215, + "åįļ": 102216, + "дж": 102217, + "Ġدارد": 102218, + "Ġfark": 102219, + "à¹īวย": 102220, + "они": 102221, + "Ġبخ": 102222, + "à¥ģत": 102223, + "ĠÄijây": 102224, + "αÏģα": 102225, + "Ġδια": 102226, + "Ġè¯": 102227, + "каÑħ": 102228, + "cház": 102229, + "zenÃŃ": 102230, + "ÑĢоп": 102231, + "à¥Ģम": 102232, + "íĨµ": 102233, + "dü": 102234, + "à¸łà¸²à¸ŀ": 102235, + "ĠíĬ": 102236, + "ÙĪا": 102237, + "Ġtá»ijt": 102238, + "ï¼ŁãĢįĊĊ": 102239, + "ĠæľĪ": 102240, + "ĠnhÆ°ng": 102241, + "Ġnež": 102242, + "à¥ĭड": 102243, + "ìĹIJê²Į": 102244, + "à¤Ĥड": 102245, + "¶Į": 102246, + "ĠмеÑģÑĤ": 102247, + "ाà¤ģ": 102248, + "ì¦Ŀ": 102249, + "ĠÄijang": 102250, + "à¸Ńà¸Ķ": 102251, + "íĽĦ": 102252, + "á»įi": 102253, + "ského": 102254, + "Ġдок": 102255, + "Ġتص": 102256, + "Ġphòng": 102257, + "Ġê°ķ": 102258, + "ĠtrÆ°á»Ľc": 102259, + "íijľ": 102260, + "ÙĶ": 102261, + "ĠphÃŃ": 102262, + "Ġchá»įn": 102263, + "ä¹IJ": 102264, + "ĠÅŁekilde": 102265, + "Ġíİ": 102266, + "éº": 102267, + "루": 102268, + "à¥Ī।Ċ": 102269, + "ÙĪرÛĮ": 102270, + "ÑģÑĤÑĢа": 102271, + "ildi": 102272, + "ĠαÏħ": 102273, + "ваннÑı": 102274, + "ìļ¸": 102275, + ".âĢľĊĊ": 102276, + "ĠÑĤакже": 102277, + "ëĵ±": 102278, + "ека": 102279, + "æīį": 102280, + "ÙħØ©": 102281, + "ĠphÆ°Æ¡ng": 102282, + "马": 102283, + "ãĢĢĠãĢĢ": 102284, + "ových": 102285, + "ียà¸ĩ": 102286, + "ĠTru": 102287, + "еÑģп": 102288, + "stup": 102289, + "ÄĮ": 102290, + "ĠdalÅ¡ÃŃ": 102291, + "زÛĮ": 102292, + "Ġ매": 102293, + "ĠобÑĢаз": 102294, + "Ġaçık": 102295, + "ê°ķ": 102296, + "ÙģادÙĩ": 102297, + "گاÙĨ": 102298, + "à¹īà¸Ļ": 102299, + "ẩn": 102300, + "å·¥ä½ľ": 102301, + "Ġतर": 102302, + "ÙĬع": 102303, + "ĠãĢĬ": 102304, + ",âĢľ": 102305, + "Ġnev": 102306, + "ัà¸į": 102307, + "ģını": 102308, + "Ġjin": 102309, + "اخت": 102310, + "سر": 102311, + "ĠtÃłi": 102312, + "Ġkterá": 102313, + "ĠاÙĦÙĦ": 102314, + "à¤ħ": 102315, + "izmet": 102316, + "à¥ģम": 102317, + "าะ": 102318, + "Ġê·": 102319, + "lıģı": 102320, + "çı¾": 102321, + "liÄŁi": 102322, + "êµ°": 102323, + "alık": 102324, + "ĠدÙĪر": 102325, + "Ġìĭ¤": 102326, + "ĠзаÑģ": 102327, + "ÙĤÙĬ": 102328, + "Ġứng": 102329, + "ĠÙĥÙĩ": 102330, + "ÎŁÎ£": 102331, + "è¨Ń": 102332, + "çĮ": 102333, + "ãģĦãģŁ": 102334, + "íĺĦ": 102335, + "ĠÑĤе": 102336, + "еÑĢÑĸ": 102337, + "sız": 102338, + "Ġý": 102339, + "дов": 102340, + "Ġà¤ĩसà¤ķ": 102341, + "год": 102342, + "Ġbylo": 102343, + "าà¸Ħม": 102344, + "ением": 102345, + "Ш": 102346, + "æľ¯": 102347, + "Ġपहल": 102348, + "ĠaÅŁ": 102349, + "à¤¿à¤ľ": 102350, + "åĵ¡": 102351, + "ваÑĢ": 102352, + "à¹īำ": 102353, + "âĮĴ": 102354, + "ován": 102355, + "Ġgiúp": 102356, + "Ð¥": 102357, + "ĠÑģÑĥд": 102358, + "Ġà¤ķम": 102359, + "ạm": 102360, + "رس": 102361, + "Ġ人": 102362, + "ĠبÛĮ": 102363, + "Ġà¤īनà¤ķ": 102364, + "립": 102365, + "áºŃy": 102366, + "ĠváºŃt": 102367, + "лÑıеÑĤÑģÑı": 102368, + "Ġseç": 102369, + "Ġì½": 102370, + "ÑĢÑĥж": 102371, + "تص": 102372, + "|:": 102373, + "Ġëł": 102374, + "ими": 102375, + "ĠлÑİб": 102376, + "Ġà¸ľ": 102377, + "ï¼Įä½Ĩ": 102378, + "Ġнав": 102379, + "âĢ¬": 102380, + "à¹Īาย": 102381, + "Ġرس": 102382, + "siniz": 102383, + "ë¨": 102384, + "ениÑİ": 102385, + "Ġล": 102386, + "اسÛĮ": 102387, + "à¥ľ": 102388, + "ĠÙ¾ÛĮØ´": 102389, + "ίδ": 102390, + "ĠÙ¾ÛĮ": 102391, + "еÑĢжав": 102392, + "à¤Ĩ": 102393, + "ĠdÃ¼ÅŁÃ¼n": 102394, + "å¿«": 102395, + "ÑĢеÑģ": 102396, + "åħ«": 102397, + "ÑĤÑĸ": 102398, + "à¤¿à¤Ł": 102399, + "ĠÑĤеÑħ": 102400, + "út": 102401, + "ÙĨÙĩ": 102402, + "ĠÙĨØ´": 102403, + "çĻº": 102404, + "Ġê°¤": 102405, + "лед": 102406, + "Ġëĵ¤": 102407, + "Ġbilg": 102408, + "ĠspoleÄį": 102409, + "ĠÄijÆ¡n": 102410, + "Ġà¤īत": 102411, + "Ġtrá»ĭ": 102412, + "ĠعÙħ": 102413, + "Ġ।": 102414, + "ĠúÄį": 102415, + "ãģ¸": 102416, + "วà¸ģ": 102417, + "ĠÑģлÑĥÑĩа": 102418, + "á»įng": 102419, + "åıĪ": 102420, + "иÑĤÑĥ": 102421, + "æľīéĻIJ": 102422, + "린": 102423, + "ëĭĺ": 102424, + "Ġhoạt": 102425, + "ĠìĿ´ëıĻ": 102426, + "знаÑĩ": 102427, + "ĠاستÙģادÙĩ": 102428, + "ĠпÑĢоÑĨеÑģ": 102429, + "anın": 102430, + "гÑĥ": 102431, + "ĠاÙĦØ«": 102432, + "æĹ¥æľ¬": 102433, + "ικά": 102434, + "ĠÑĹÑĹ": 102435, + "ì§ģ": 102436, + "inu": 102437, + "Ġساز": 102438, + "ãĤ¡": 102439, + "ï¾ī": 102440, + "ĠاÙĤ": 102441, + "Ġkế": 102442, + "ůsob": 102443, + "à¹ĩà¸ģ": 102444, + "åIJ§": 102445, + "æ¼Ķ": 102446, + "Ñīие": 102447, + "çĨ": 102448, + "ÑĮого": 102449, + "à¥ĭà¤Ł": 102450, + "اپ": 102451, + "室": 102452, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 102453, + "Ġtriá»ĥn": 102454, + "ĠtáºŃp": 102455, + "é£Ł": 102456, + "ë¹": 102457, + "ĠÑĩеÑĢез": 102458, + "ĠÑĨи": 102459, + "ÑģÑĥ": 102460, + "Ġнем": 102461, + "ĠаÑĢ": 102462, + "ĠÙĦا": 102463, + "Ġì§Ħ": 102464, + "çŁ³": 102465, + "ĠпÑĢоб": 102466, + "ĠìĽIJ": 102467, + "ÛĮÙĨÛĮ": 102468, + "ÑİÑĩи": 102469, + "âĢį": 102470, + "Û±Û³": 102471, + "ãĤ¬": 102472, + "çłĶ究": 102473, + "íĤ¤": 102474, + "Ġgerçek": 102475, + "ĠØŃس": 102476, + "íĶ¼": 102477, + "èĤ¡": 102478, + "ĠÏĦι": 102479, + "ĠvÅ¡ech": 102480, + "Ġvì": 102481, + "اÙĨÙĬ": 102482, + "ĠÙĩست": 102483, + "ĠëĤ¨": 102484, + "ÅĻej": 102485, + "еÑĢг": 102486, + "Ġsöz": 102487, + "ĠاÙĦÙħت": 102488, + "Ġchế": 102489, + "á»ĵi": 102490, + "åı¤": 102491, + "âĸįâĸį": 102492, + "á»ĵng": 102493, + "ãĥ¢": 102494, + "Ġди": 102495, + "ελ": 102496, + "Ġона": 102497, + "Ġнай": 102498, + "Ġ_{": 102499, + "пол": 102500, + "aliz": 102501, + "ĠtÄĥng": 102502, + "ĠdÃŃ": 102503, + "ép": 102504, + "ĠÙĦÙħ": 102505, + "Ġmož": 102506, + "ĠngoÃłi": 102507, + "èĹ": 102508, + "ĠÑĩем": 102509, + "ĠÄijá»ķ": 102510, + "еÑĤа": 102511, + "åı²": 102512, + "ĠÑģказ": 102513, + "ãĤ¿ãĥ¼": 102514, + "анÑĮ": 102515, + "Ġgöz": 102516, + "ë³Ħ": 102517, + "ãģĭãģ£ãģŁ": 102518, + "ĠëįĶ": 102519, + "ĠÙĨÙĤ": 102520, + "ĠÑĥÑĩа": 102521, + "Ġsahip": 102522, + "ĠÑģпе": 102523, + "ίοÏħ": 102524, + "ì½Ķ": 102525, + "ĠëĪ": 102526, + "mam": 102527, + "Ġroce": 102528, + "ĠÙĨاÙħ": 102529, + "еÑĢаÑĤÑĥ": 102530, + "ıp": 102531, + "ãģĦãģ¦": 102532, + "ĠíķĻ": 102533, + "Ġà¤ĩन": 102534, + "å©": 102535, + "Ġnhiên": 102536, + "atır": 102537, + "ÅĻenÃŃ": 102538, + "دة": 102539, + "ãĥªãĥ¼": 102540, + "ลà¸ĩ": 102541, + "ĠéĢ": 102542, + "Ġà¹Ģà¸Ľ": 102543, + "дÑĸ": 102544, + "ÎŃÏģ": 102545, + "ìĦ¤": 102546, + "гÑĢа": 102547, + "esine": 102548, + "Ġее": 102549, + "Ġiki": 102550, + "Ġتج": 102551, + "larına": 102552, + "dür": 102553, + "ĠاÙĦØ°": 102554, + "Ùħت": 102555, + "Ġà¤IJ": 102556, + "िद": 102557, + "Ġë¹": 102558, + "ÑĦоÑĢма": 102559, + "Ġони": 102560, + "гоÑĢ": 102561, + "неÑģ": 102562, + "ìĺĢëĭ¤": 102563, + "ıldı": 102564, + "Ġçek": 102565, + "Ġдов": 102566, + "دÛĮ": 102567, + "ĠÄĮesk": 102568, + "ÑĪа": 102569, + "Ġات": 102570, + "å±ĭ": 102571, + "æĸ¼": 102572, + "Ġpráv": 102573, + "ému": 102574, + "å¸Ī": 102575, + "ãħĭãħĭ": 102576, + "Ġilgili": 102577, + "หว": 102578, + "à¤ĩ": 102579, + "ाष": 102580, + "ëŀij": 102581, + "asyon": 102582, + "ÑĨÑĮ": 102583, + "à¹ģà¸ķ": 102584, + "ợi": 102585, + "ĠвÑĭÑģ": 102586, + "ÑĸлÑĮки": 102587, + "ĠкоÑĤоÑĢÑĭе": 102588, + "ники": 102589, + "Ġاد": 102590, + "Ġživ": 102591, + "ĠαÏĢο": 102592, + "رض": 102593, + "اة": 102594, + "Ġkdyž": 102595, + "ữa": 102596, + "ĠëĮĢíķľ": 102597, + "Ġtôi": 102598, + "ÑĥÑĶ": 102599, + "زر": 102600, + "Ġå¥": 102601, + "ãĥĭãĥĭ": 102602, + "بة": 102603, + "ÏĦοÏĤ": 102604, + "ÑĨион": 102605, + "ĠÙħÙĬ": 102606, + "ĠÄĥn": 102607, + "à¥ĩà¤Ĺ": 102608, + "ĠÑĢег": 102609, + "ĠlỼn": 102610, + "ì¤Ģ": 102611, + "ìĭ¬": 102612, + "Ġbiết": 102613, + "aları": 102614, + "ÙģÙĬ": 102615, + "ä¸ĸçķĮ": 102616, + "ĠнеобÑħодим": 102617, + "à¸Ļว": 102618, + "νÏĦ": 102619, + "Ġảnh": 102620, + "íĸĪ": 102621, + "Ġवर": 102622, + "hled": 102623, + "ิà¸Ī": 102624, + "æŃ»": 102625, + "ĠاÙĦتÙĬ": 102626, + "ноÑģ": 102627, + "prav": 102628, + "ÑıÑĤи": 102629, + "Ñīа": 102630, + "ÙĪÙĨÙĩ": 102631, + "ĠaÄŁ": 102632, + "à¸ŀระ": 102633, + "Ġthá»ijng": 102634, + "ÑĦи": 102635, + "Ġголов": 102636, + "Ġkhoa": 102637, + "ĠëłĪ": 102638, + "ãģĴ": 102639, + "Ġgetir": 102640, + "شت": 102641, + "женнÑı": 102642, + "енÑĸ": 102643, + "Ġgiữ": 102644, + "lerinin": 102645, + "à¥Ģव": 102646, + "éģ¸": 102647, + "सर": 102648, + "ĠÑĩелов": 102649, + "à¥įà¤ľ": 102650, + "ĠбÑĥло": 102651, + "ĠاÙĨد": 102652, + "ัà¸Ļà¸Ĺ": 102653, + "让": 102654, + "Ġquyá»ģn": 102655, + "ĠØŃاÙĦ": 102656, + "ì²ĺ": 102657, + "ĠлÑİд": 102658, + "ÏģÏĩ": 102659, + "алÑĮно": 102660, + "ãĢĢãĥ½": 102661, + "ê¸ī": 102662, + "ãĤ±": 102663, + "ĠÙħرد": 102664, + "Ġông": 102665, + "Ġاش": 102666, + "大åѦ": 102667, + "ì¦Ī": 102668, + "æĪ¦": 102669, + "eyi": 102670, + "ĠÐIJн": 102671, + "िप": 102672, + "Ġtiêu": 102673, + "Ø´ÛĮ": 102674, + "ắn": 102675, + "éŃĶ": 102676, + "ãģ¨ãģĦãģĨ": 102677, + "ĠìłĢ": 102678, + "кÑĤи": 102679, + "ĠÙħØŃÙħد": 102680, + "ĠíĨµ": 102681, + "ุม": 102682, + "åį¡": 102683, + "оÑĢов": 102684, + "коÑİ": 102685, + "Ġlá»±c": 102686, + "島": 102687, + "ĠرÙĪز": 102688, + "ÑħÑĸд": 102689, + "Ġhá»ĵ": 102690, + "Ġül": 102691, + "ĠØ´Ùħ": 102692, + "ÙĨس": 102693, + "بÙĪ": 102694, + "Ġthêm": 102695, + "ạc": 102696, + "åºľ": 102697, + "echn": 102698, + "ĠÎļα": 102699, + "èijĹ": 102700, + "çľ¼": 102701, + "áh": 102702, + "Ġι": 102703, + "ê¹Įì§Ģ": 102704, + "maz": 102705, + "λογ": 102706, + "Ġjsme": 102707, + "Ġá¼": 102708, + "ĠпÑĢави": 102709, + "клад": 102710, + "Ġthủ": 102711, + "sah": 102712, + "ÄŁit": 102713, + "ĠÙģÛĮ": 102714, + "енно": 102715, + "à¥ģà¤Ľ": 102716, + "ãģ»": 102717, + "çĻ¾": 102718, + "иÑĤа": 102719, + "ĠбÑĭло": 102720, + "Ġvys": 102721, + "Ġì¶ľ": 102722, + "ắng": 102723, + "ĠÄijại": 102724, + "ĠÙħÙĪرد": 102725, + "ела": 102726, + "ÑĸÑĪ": 102727, + "леннÑı": 102728, + "æIJ": 102729, + "Ġнед": 102730, + "iyat": 102731, + "ì¼": 102732, + "ĠolduÄŁunu": 102733, + "داÙĨ": 102734, + "íĿ": 102735, + "ĠسÛĮ": 102736, + "ีà¸ģ": 102737, + "ÄĽst": 102738, + "ımı": 102739, + "ä¸īä¸ī": 102740, + "ãĤ½": 102741, + "ĠÑĤеп": 102742, + "ĠÑĢай": 102743, + "ाध": 102744, + "ĠìĤ¬ëŀĮ": 102745, + "ĠTrung": 102746, + "ï¼ıï¼ı": 102747, + "Ġtâm": 102748, + "Å¡enÃŃ": 102749, + "ãĥį": 102750, + "ĠÏĦοÏħÏĤ": 102751, + "ĠнÑĸ": 102752, + "вид": 102753, + "æ¿": 102754, + "Ġظ": 102755, + "ãĥ¯": 102756, + "ì¢ħ": 102757, + "ваÑĤи": 102758, + "Ġquá": 102759, + "ฤ": 102760, + "ĠÄijÆ°á»Ŀng": 102761, + "à¥ģद": 102762, + "roj": 102763, + "ĠÑĥÑģ": 102764, + "é¦Ļ": 102765, + "ì½ĺ": 102766, + "ĠÙĪت": 102767, + "มาà¸ģ": 102768, + "åĪĩ": 102769, + "Ġán": 102770, + "Ġмед": 102771, + "ìĹIJëĬĶ": 102772, + "Ġhlav": 102773, + "رت": 102774, + "à¹ĥà¸Ī": 102775, + "æ´²": 102776, + "ĠлÑĸ": 102777, + "æĪĺ": 102778, + "ÙĪÙĨد": 102779, + "足": 102780, + "åĭĻ": 102781, + "çĶ³": 102782, + "Ġì±": 102783, + "ĠìĿ´ëıĻíķ©ëĭĪëĭ¤": 102784, + "ÑīеÑģÑĤв": 102785, + "Ġë¶Ī": 102786, + "ÙĦÙĪ": 102787, + "üven": 102788, + "èĪĩ": 102789, + "ĠgiỼi": 102790, + "ĠÙĪÙĤ": 102791, + "Ġê°¤ë¡ľê·¸": 102792, + "ĠعاÙħ": 102793, + "ĺIJ": 102794, + ":::::": 102795, + "ĠÑĥд": 102796, + "-ÑĤо": 102797, + "ĠÑĦоÑĢ": 102798, + "ини": 102799, + "ãģĹãģĦ": 102800, + "Ġê°¤ë¡ľê·¸ë¡ľ": 102801, + "ãģ³": 102802, + "ãĥ©ãĤ¤": 102803, + "ená": 102804, + "Ġnez": 102805, + "Ġönemli": 102806, + "ĠниÑħ": 102807, + "à¤Ĥस": 102808, + "Ġà¤īसà¤ķ": 102809, + "à¥įरद": 102810, + "Ġnói": 102811, + "ÙĥÙĦ": 102812, + "ิว": 102813, + "κο": 102814, + "à¥ģà¤ĸ": 102815, + "öyle": 102816, + "άλ": 102817, + "óng": 102818, + "ĠداÙĨØ´": 102819, + "Ġзб": 102820, + "ì»": 102821, + "à¸ľà¸¥": 102822, + "ëĵ¤ìĿ´": 102823, + "Ġetk": 102824, + "رات": 102825, + "Ġεκ": 102826, + "ÑĤÑĢа": 102827, + "à¥įतर": 102828, + "à¤Ĥब": 102829, + "ĠмÑĸÑģ": 102830, + "æł¹": 102831, + "ãĥĻ": 102832, + "Ġtá»ī": 102833, + "à¹Ģà¸ĭ": 102834, + "ìĪł": 102835, + "ï¼Įä¸į": 102836, + "ìĺ¨": 102837, + "ĠmÄĽst": 102838, + "ģµ": 102839, + "azı": 102840, + "rada": 102841, + "ÏĢα": 102842, + "mé": 102843, + "ÙĨاÙħÙĩ": 102844, + "اÛĮÙĦ": 102845, + "μη": 102846, + "luk": 102847, + "ÙĥÙĬ": 102848, + "Ġï¼ī": 102849, + "ĠдеÑĤ": 102850, + "Ġiçinde": 102851, + "Ñıм": 102852, + "ĠdÆ°á»": 102853, + "ĠпÑĢедÑģÑĤав": 102854, + "üre": 102855, + "åķĬ": 102856, + "ĠÑĤÑĢÑĥ": 102857, + "esini": 102858, + "Ġале": 102859, + "ãĥ³ãĥī": 102860, + "à¥ĥत": 102861, + "εÏħ": 102862, + "à¥ģà¤Ĩ": 102863, + "Ġhiç": 102864, + "çĶº": 102865, + "ĠÐĸ": 102866, + "çħ§": 102867, + "ká": 102868, + "Ġtrá»įng": 102869, + "Ġتش": 102870, + "ाश": 102871, + "ĠÙħØ«": 102872, + "etim": 102873, + "Ġthấy": 102874, + "Ġबह": 102875, + "عت": 102876, + "ึà¹ī": 102877, + "Ġsev": 102878, + "ÑģÑĤа": 102879, + "Ġcứ": 102880, + "Ġtiá»ģn": 102881, + "à¥Ģà¤ľ": 102882, + "Ñıг": 102883, + "ĠоÑĢгани": 102884, + "ĠбÑĭл": 102885, + "tür": 102886, + "ĠبازÛĮ": 102887, + "Ġìŀ¬": 102888, + "वर": 102889, + "æľīéĻIJåħ¬åı¸": 102890, + "kup": 102891, + "Ġiyi": 102892, + "íķĺê²Į": 102893, + "ãĢĢl": 102894, + "ãĤ·ãĥ§": 102895, + "ارة": 102896, + "สร": 102897, + "ĠtÃŃch": 102898, + "ĠкаÑĢ": 102899, + "иб": 102900, + "ĠвÑĸдповÑĸд": 102901, + "Ġpodle": 102902, + "à¥įरà¤ķ": 102903, + "iyon": 102904, + "коном": 102905, + "ĠμÎŃ": 102906, + "ĠпÑĢоиз": 102907, + "ĠâĢı": 102908, + "mektedir": 102909, + "ΩÎĿ": 102910, + "Ġbáo": 102911, + "à¸Īำ": 102912, + "ëįĶ": 102913, + "ë¸Į": 102914, + "Ġsợ": 102915, + "ÛĮرÛĮ": 102916, + "онÑĥ": 102917, + "ındaki": 102918, + "алÑĮного": 102919, + "μβ": 102920, + "лиз": 102921, + "Ġjejich": 102922, + "æĸ½": 102923, + "便": 102924, + "leÅŁtir": 102925, + "ĠÙĪØ£": 102926, + "Ġसब": 102927, + "lerde": 102928, + "ĠÚĨÙĩ": 102929, + "ÏĦÎŃ": 102930, + "Ġgì": 102931, + "ĠÃļ": 102932, + "ĠÑĢаÑģп": 102933, + "Ġtüm": 102934, + "à¹Ģà¸ĩ": 102935, + "èIJ½": 102936, + "ìĨ¡": 102937, + "à¹Ħà¸Ĺย": 102938, + "mÄ±ÅŁtır": 102939, + "ĠÙĤرار": 102940, + "Ġà¸Ħาส": 102941, + "Ġkıs": 102942, + "ованиÑı": 102943, + "ãĤĤãģ®": 102944, + "داÙħ": 102945, + "ìľ¡": 102946, + "oloj": 102947, + "ĠпоÑģле": 102948, + "ĠТак": 102949, + "Ġболее": 102950, + "ĠÄijá»ķi": 102951, + "lak": 102952, + "íħĮ": 102953, + "Ġayn": 102954, + "ÑıÑģ": 102955, + "Ġпог": 102956, + "Ġarasında": 102957, + "Ī¬": 102958, + "à¥Ĥल": 102959, + "Ġανα": 102960, + "Ġquyết": 102961, + "Ġthuá»Ļc": 102962, + "Ġdün": 102963, + "ĠpÅĻes": 102964, + "ÑĦÑĸ": 102965, + "Ġå¸": 102966, + "اÙĦÙĬ": 102967, + "ĠповеÑĢ": 102968, + "Ñĩина": 102969, + "sko": 102970, + "çµIJ": 102971, + "Ø¡": 102972, + "ĠгÑĢа": 102973, + "оÑĤи": 102974, + "Ġquá»ijc": 102975, + "ÑĨÑĸв": 102976, + "lendir": 102977, + "вÑĸд": 102978, + "ĠжиÑĤ": 102979, + "üyor": 102980, + "ï¼Įä»ĸ": 102981, + "larında": 102982, + "Ġuyg": 102983, + "ĠtrÃŃ": 102984, + "ĠØ´ÙĨ": 102985, + "ابÙĦ": 102986, + "æ·±": 102987, + "Âłp": 102988, + "ÑģкаÑı": 102989, + "оÑĤа": 102990, + "ÙĪØ·": 102991, + "Ġاط": 102992, + "ä¾Ĩ": 102993, + "ĠзаÑĤ": 102994, + "Ġиме": 102995, + "à¹Ģà¸Ĺศ": 102996, + "ëĭ´": 102997, + "nÄĽnÃŃ": 102998, + "ÑĥлÑı": 102999, + "-п": 103000, + "åĺ": 103001, + "Ġвип": 103002, + "аÑĢакÑĤ": 103003, + "à¹Ģà¸ļ": 103004, + "ç¦ı": 103005, + "ÏģÏİ": 103006, + "سÙĩ": 103007, + "à¥Įर": 103008, + "ĠdiÄŁer": 103009, + "à¹Ĥà¸Ķย": 103010, + "ĠÑģпоÑģоб": 103011, + "åį·": 103012, + "èĸ": 103013, + "анÑĤ": 103014, + "ÑİÑĤÑĮÑģÑı": 103015, + "ĠÑįÑĤом": 103016, + "Ġï½Ģ": 103017, + "สาม": 103018, + "ìm": 103019, + "ĠÑĪк": 103020, + "Ġà¸Ľà¸£à¸°": 103021, + "़à¥Ģ": 103022, + "ekl": 103023, + "muÅŁ": 103024, + "ĠÑĤакож": 103025, + "ÙĪسط": 103026, + "ĠÄįi": 103027, + "ีà¸Ļ": 103028, + "ÛĮÙĨÙĩ": 103029, + "ÄĽk": 103030, + "å½¼": 103031, + "lerine": 103032, + "ĠÄijất": 103033, + "à¥ģà¤ı": 103034, + "олоÑģ": 103035, + "Ġå°ı": 103036, + "زÙĬØ©": 103037, + "Ġвла": 103038, + "à¥Ģल": 103039, + "Ġetti": 103040, + "ĠÑģоÑģÑĤав": 103041, + "ÙĦاÙĦ": 103042, + "Ġçİ": 103043, + "ĠpÅĻÃŃpad": 103044, + "룰": 103045, + "ุà¸ģ": 103046, + "ĠÑĩи": 103047, + "åħį": 103048, + "nÄĽjÅ¡ÃŃ": 103049, + "ิล": 103050, + "åįĢ": 103051, + "ských": 103052, + "าศ": 103053, + "åIJĹ": 103054, + "ĠíĺĦ": 103055, + "Ġalın": 103056, + "å§Ķ": 103057, + "à¸ŀร": 103058, + "ažd": 103059, + "ĠбÑĸлÑĮ": 103060, + "à¹Īวà¸Ļ": 103061, + "oog": 103062, + "acı": 103063, + "lıģ": 103064, + "Ġkhu": 103065, + "Ġhizmet": 103066, + "ĠéĽ": 103067, + "ĠÎĺ": 103068, + "ĠdeÄŁer": 103069, + "åħŃ": 103070, + "ĠدÙĩ": 103071, + "ĠnÄĽk": 103072, + "à¸Ħà¸Ļ": 103073, + "еÑĤÑĮ": 103074, + "باÙĨ": 103075, + "ÏĦική": 103076, + "ĠÄijá»ĭa": 103077, + "ĠCông": 103078, + "íĮIJ": 103079, + "Ġкогда": 103080, + "ĠÚ©ÙĨد": 103081, + "ãģ§ãģį": 103082, + "ĠÏĢεÏģι": 103083, + "lardan": 103084, + "Ġзем": 103085, + "تÙĪاÙĨ": 103086, + "è³ĩ": 103087, + "likle": 103088, + "Ġtụ": 103089, + "Ġdẫn": 103090, + "Ġnay": 103091, + "ĠÑģÑĤоÑĢ": 103092, + "ĠØ´Ùħا": 103093, + "ثر": 103094, + "Ġdedi": 103095, + "кое": 103096, + "ëijIJ": 103097, + "ÑĨев": 103098, + "جÙĩ": 103099, + "Ġmůže": 103100, + "à¥ģप": 103101, + "à¥įरम": 103102, + "ĠtaÅŁ": 103103, + "оÑĢÑĤ": 103104, + "γÏģα": 103105, + "çĻ¼": 103106, + "าà¸ļ": 103107, + "iá»ħn": 103108, + "ĠÙħست": 103109, + "лекÑģ": 103110, + "Ġprav": 103111, + "ĠдоÑģ": 103112, + "ĠdÄ±ÅŁ": 103113, + "Ġzem": 103114, + "Ġgiao": 103115, + "Ġvlast": 103116, + "ĠÑįÑĤого": 103117, + "ï½°": 103118, + "วà¸ĩ": 103119, + "ÑĢой": 103120, + "Ġbirlik": 103121, + "ený": 103122, + "Ġëĭ¨": 103123, + "овани": 103124, + "é£İ": 103125, + "íıī": 103126, + "Ġzah": 103127, + "ба": 103128, + "åĬ©": 103129, + "éĢ²": 103130, + "ê¶Į": 103131, + "Ġdiye": 103132, + "à¤Ĥà¤ķ": 103133, + "Ġchuyá»ĥn": 103134, + "ĠìĹŃ": 103135, + "ĠÑĤÑĢи": 103136, + "Ġönce": 103137, + "ï¼Įè¿Ļ": 103138, + "oại": 103139, + "леÑĤ": 103140, + "ĠÏĥÏħν": 103141, + "lád": 103142, + "çe": 103143, + "tü": 103144, + "ĠÄįást": 103145, + "Ġεν": 103146, + "Ġbiá»ĩt": 103147, + "Ġé«": 103148, + "à¥ĭà¤ķ": 103149, + "ÙĦات": 103150, + "باÙĦ": 103151, + "ecies": 103152, + "Ġëĭ¹": 103153, + "à¸Ĭà¸Ļ": 103154, + "ÏĦαÏĤ": 103155, + "à¥įण": 103156, + "ujÃŃcÃŃ": 103157, + "Äįet": 103158, + "Ġпоб": 103159, + "ÙĪار": 103160, + "iyas": 103161, + "Ġdruh": 103162, + "دد": 103163, + "ÏĮν": 103164, + "ÑĢен": 103165, + "ารà¸ĸ": 103166, + "ä½İ": 103167, + "ìķ½": 103168, + "ÑĢоз": 103169, + "ëĬĶëį°": 103170, + "ãĤĵãģª": 103171, + "ÄįenÃŃ": 103172, + "************": 103173, + "ĠΡ": 103174, + "ĠÑĤомÑĥ": 103175, + "รà¸ģ": 103176, + "à¥ģस": 103177, + "ä¹Ŀ": 103178, + "å°±æĺ¯": 103179, + "£i": 103180, + "éĺ²": 103181, + "Ùĥر": 103182, + "ĠÑįÑĤи": 103183, + "ĠÚ©Ø´ÙĪر": 103184, + "Ġê°IJ": 103185, + "Ġад": 103186, + "Ġداد": 103187, + "éģİ": 103188, + "Ù«": 103189, + "ĠláºŃp": 103190, + "ĠاÙĦÙĩ": 103191, + "æľĽ": 103192, + "ĠتÙĩ": 103193, + "ì§Ī": 103194, + "ãģ§ãģĤãĤĭ": 103195, + "Ġмеж": 103196, + "ĠÑĢезÑĥлÑĮÑĤ": 103197, + "çį": 103198, + "емÑĥ": 103199, + "ĠتÙĪاÙĨ": 103200, + "ĠراÙĩ": 103201, + "ãĥ¼ãĥł": 103202, + "åĦ¿": 103203, + "å±ŀ": 103204, + "бÑĭ": 103205, + "á¿": 103206, + "à¸Ħล": 103207, + "à¥ĭà¤Ī": 103208, + "ütün": 103209, + "à¤Ĺर": 103210, + "ìķĺëĭ¤": 103211, + "âĪ§": 103212, + "Ġì°¨": 103213, + "çµĦ": 103214, + "μαÏĦα": 103215, + "ุà¸Ļ": 103216, + "ĠÑĤом": 103217, + "еÑĢв": 103218, + "ÎijΣ": 103219, + "ĠiÅŁlem": 103220, + "عÙħ": 103221, + "ëĥ": 103222, + "ãĥĦ": 103223, + "اÙģت": 103224, + "åĬŀ": 103225, + "Ġnes": 103226, + "avaÅŁ": 103227, + "ĠÙĨÛĮز": 103228, + "强": 103229, + "ĠéĻ": 103230, + "ÑĸннÑı": 103231, + "æ²³": 103232, + "áÅĻ": 103233, + "æĿIJ": 103234, + "ĠØ£ÙĬ": 103235, + "Ġì¹´": 103236, + "ĠnenÃŃ": 103237, + "ĠÙĪÙħ": 103238, + "ĠÚ©Ùħ": 103239, + "iếu": 103240, + "Ġæ°": 103241, + "åĮ»": 103242, + "Ġzor": 103243, + "ίÏĥ": 103244, + "िध": 103245, + "Ġпоказ": 103246, + "हर": 103247, + "Ġiçer": 103248, + "ØŃØ©": 103249, + "िà¤ĸ": 103250, + "ада": 103251, + "ترÛĮÙĨ": 103252, + "Ġbao": 103253, + "Ġxã": 103254, + "à¹Ģà¸Ħร": 103255, + "ĠnghÄ©": 103256, + "à¹ģà¸ļà¸ļ": 103257, + "ĠdoÄŁru": 103258, + "ÑĸÑĤи": 103259, + "ĠبÙĬÙĨ": 103260, + "ĠлеÑĤ": 103261, + "اغ": 103262, + "ÛĮÚ©ÛĮ": 103263, + "ráv": 103264, + "à¥įâĢį": 103265, + "âĢĻnin": 103266, + "Ġย": 103267, + "åįĬ": 103268, + "Ġколи": 103269, + "Ġtrợ": 103270, + "éĿĴ": 103271, + "ëŀĢ": 103272, + "Ġë¨": 103273, + "ĠÙĪر": 103274, + "ï¾Ĭ": 103275, + "è§Ĥ": 103276, + "Ġпи": 103277, + "нÑĥв": 103278, + "ilmesi": 103279, + "ستÙĩ": 103280, + "ĠдеÑĢжав": 103281, + "å®ĥ": 103282, + "åĪ¥": 103283, + "ëħĢ": 103284, + "лÑģÑı": 103285, + "à¤Ĥध": 103286, + "ĠÑĤи": 103287, + "ĠpÅĻip": 103288, + "пи": 103289, + "á»ĵn": 103290, + "оваÑĤÑĮ": 103291, + "ìĿ´ëĿ¼": 103292, + "æľĿ": 103293, + "ĠëĺIJ": 103294, + "ĠÎŃνα": 103295, + "ãģ¾ãģ§": 103296, + "جاÙħ": 103297, + "ĠëĬ": 103298, + "нÑĸв": 103299, + "ÏĢοÏħ": 103300, + "ĠزÙħاÙĨ": 103301, + "æĽ²": 103302, + "ĠÙħÙĩ": 103303, + "볨": 103304, + "ä¸ĥ": 103305, + "ãģ¨ãģĹãģ¦": 103306, + "labilir": 103307, + "оже": 103308, + "å¤ľ": 103309, + "ĠнÑĥжно": 103310, + "彩": 103311, + "çĪ±": 103312, + "ĠhoÃłn": 103313, + "ünü": 103314, + "ĠëĦ¤": 103315, + "ĠجÙĨ": 103316, + "ĠnÄĽj": 103317, + "кими": 103318, + "Ġaynı": 103319, + "ĠÙĥÙĦ": 103320, + "Ġnhau": 103321, + "ẳ": 103322, + "ÙĬات": 103323, + "Ġmezi": 103324, + "ĠÑĢек": 103325, + "Ġtür": 103326, + "ĠговоÑĢ": 103327, + "Ġfazla": 103328, + "åĩĨ": 103329, + "ÑĪий": 103330, + "ÐŁÑĢи": 103331, + "ÑĢоÑģÑĤ": 103332, + "ĠоÑĢган": 103333, + "ným": 103334, + "ĠÑĢод": 103335, + "ĠÙĪÛĮ": 103336, + "ický": 103337, + "림": 103338, + "ï½²": 103339, + "æĢİ": 103340, + "ĠÙĩذا": 103341, + "ĠÑĩаÑģÑĤи": 103342, + "ÃŃr": 103343, + "á»ĩnh": 103344, + "ĠíĹ": 103345, + "ê»": 103346, + "luž": 103347, + "ÃŃl": 103348, + "cÃŃch": 103349, + "å®Ł": 103350, + "ãģłãģ£ãģŁ": 103351, + "ÙĬرة": 103352, + "ĠvÄĥn": 103353, + "港": 103354, + "ĠÏĦιÏĤ": 103355, + "ارت": 103356, + "Ġvấn": 103357, + "âĶģâĶģâĶģâĶģ": 103358, + "対": 103359, + "ÏģÎŃ": 103360, + "ĠгодÑĥ": 103361, + "Ġسب": 103362, + "ارات": 103363, + "елей": 103364, + "ĠзаÑħ": 103365, + "Ġваж": 103366, + "Ġtá»īnh": 103367, + "ابع": 103368, + "Ġà¤ľà¤¬": 103369, + "Ġà¤IJस": 103370, + "ĠдÑĥ": 103371, + "Ġé«ĺ": 103372, + "ê²ł": 103373, + "нее": 103374, + "ï½Į": 103375, + "Ġмал": 103376, + "è¾¹": 103377, + "ãģłãģij": 103378, + "à¹īร": 103379, + "ÙĤØ·": 103380, + "Ġbên": 103381, + "Ġseb": 103382, + "ĠØ®ÙĪاÙĩ": 103383, + "siz": 103384, + "Ġolur": 103385, + "ĠëĶ°": 103386, + "Ġì¢ĭ": 103387, + "ĠsvÄĽt": 103388, + "ická": 103389, + "ỹ": 103390, + "Ġquản": 103391, + "ĠиÑģ": 103392, + "ĠzaÄį": 103393, + "ืà¸Ńà¸Ļ": 103394, + "ÑĶÑİ": 103395, + "िष": 103396, + "çĬ¶": 103397, + "Ïĥμ": 103398, + "ัส": 103399, + "óc": 103400, + "ĠбеÑĢ": 103401, + "ĠíĿ": 103402, + ";:;:": 103403, + "Ġپس": 103404, + "ĠëijIJ": 103405, + "ниÑĩ": 103406, + "ĠоÑĩенÑĮ": 103407, + "ĠìķĦìĿ´ì½ĺ": 103408, + "Ġθα": 103409, + "ĠвÑģÑĤ": 103410, + "ادة": 103411, + "Ġdevam": 103412, + "ืà¸Ńà¸ĩ": 103413, + "ĠлÑİди": 103414, + "ìĺĪ": 103415, + "á»±a": 103416, + "ÑıÑħ": 103417, + "âĢĮاÛĮ": 103418, + "ĠسÙĪ": 103419, + "å°¼": 103420, + "Ġthứ": 103421, + "meye": 103422, + "Ġèµ": 103423, + "èī¯": 103424, + "ĠdeÄŁiÅŁ": 103425, + "ÑĪÑĸ": 103426, + "Ġtrợ": 103427, + "ĠâĢİ#": 103428, + "çĹħ": 103429, + "ìĽĮ": 103430, + "Ġkde": 103431, + "Χ": 103432, + "æ¤": 103433, + "ĠÑħаÑĢакÑĤ": 103434, + "æĩ": 103435, + "Ġbiến": 103436, + "ÙĤع": 103437, + "åŁŁ": 103438, + "Ġнеп": 103439, + "Ġdů": 103440, + "ĠпиÑĤ": 103441, + "ĠÑĤÑĢеб": 103442, + "ازÛĮ": 103443, + "Ġطر": 103444, + "ĠÙħÙĦ": 103445, + "Ġtham": 103446, + "ĠÙĪجÙĪد": 103447, + "Ġsvé": 103448, + "é§ħ": 103449, + "اÛĮÙĨ": 103450, + "Ġtiên": 103451, + "stru": 103452, + "ĠváºŃy": 103453, + "üne": 103454, + "Ġà¹Ģม": 103455, + "Ġrằng": 103456, + "аÑĤÑĥ": 103457, + "äºij": 103458, + "ниÑĤ": 103459, + "ä¼Ĭ": 103460, + "ÙĪص": 103461, + "ĠéĿ": 103462, + "ĠпÑĢоблем": 103463, + "deki": 103464, + "**************": 103465, + "òa": 103466, + "ĠÄijá»ģu": 103467, + "ãĤĮãģŁ": 103468, + "ارس": 103469, + "ãģªãģı": 103470, + "اÙĤع": 103471, + "è»į": 103472, + "ÙĥÙħ": 103473, + "Äįas": 103474, + "Ġkỳ": 103475, + "Ø´Ùħ": 103476, + "à¥ĩड": 103477, + "éĺ¿": 103478, + "ĠjejÃŃ": 103479, + "ĠæĻ": 103480, + "ĠÄ°ÅŁ": 103481, + "ardım": 103482, + "Ġसमय": 103483, + "ĠÐĿо": 103484, + "ilerin": 103485, + "Ġعبد": 103486, + "nÃŃk": 103487, + "ĠØ´Ú©ÙĨ": 103488, + "ิà¸Ĺย": 103489, + "á»ħ": 103490, + "ÑĢез": 103491, + "Ġchứng": 103492, + "Ġ:.": 103493, + "Ġपत": 103494, + "Ġživot": 103495, + "å¢ĥ": 103496, + "«a": 103497, + "Ġtrung": 103498, + "никÑĸв": 103499, + "ĠاÙĦÙħÙĨ": 103500, + "ĠÑĢаÑģÑģ": 103501, + "Ġжив": 103502, + "Ġзакон": 103503, + "Ġ목": 103504, + "Ġzáv": 103505, + "Ġhakk": 103506, + "令": 103507, + "ĠÑıкий": 103508, + "ĠبÙĬ": 103509, + "λÎŃ": 103510, + "ocuk": 103511, + "ĠÑİ": 103512, + "à¸ģว": 103513, + "ĠاÙĨÚ¯": 103514, + "à¥ģà¤Ĥ": 103515, + "Ġnám": 103516, + "á»ķng": 103517, + "Ġжел": 103518, + "ĠÄijặc": 103519, + "Äįit": 103520, + "Ġê±´": 103521, + "ĠبÛĮØ´": 103522, + "кÑĢаÑĹн": 103523, + "ĠÙĪÙĩ": 103524, + "неннÑı": 103525, + "Ġà¹Ģà¸ŀ": 103526, + "омен": 103527, + "Ġlần": 103528, + "ĠعÙħÙĦ": 103529, + "Ġîģµ": 103530, + "Äŀ": 103531, + "ÑĸÑģлÑı": 103532, + "Æ°ng": 103533, + "ाफ": 103534, + "à¸Ĺà¸ĺ": 103535, + "ден": 103536, + "ĠÑīоб": 103537, + "Ñĩив": 103538, + "ılır": 103539, + "اعات": 103540, + "jÃŃcÃŃ": 103541, + "벨": 103542, + "ÚĨÙĩ": 103543, + "ارج": 103544, + "ĠپرÙĪ": 103545, + "Ġодин": 103546, + "лин": 103547, + "бÑĥ": 103548, + "Ġसरà¤ķ": 103549, + "åĢĻ": 103550, + "ë¶ĢíĦ°": 103551, + "à¥Īà¤Ĥ,": 103552, + "å´": 103553, + "à¹Ĥล": 103554, + "ĠvÅ¡ak": 103555, + "ĠопÑĢед": 103556, + "ì±": 103557, + "æ½": 103558, + "Ġdá»±ng": 103559, + "práv": 103560, + "ิส": 103561, + "Ġnhiá»ĩm": 103562, + "ĠiliÅŁ": 103563, + "ĠеÑīе": 103564, + "ĠjeÅ¡tÄĽ": 103565, + "ĠÑĢаÑģÑĤ": 103566, + "ฮ": 103567, + "à¤Ĥà¤Ł": 103568, + "âĢĮÚ©": 103569, + "ĠبÛĮÙĨ": 103570, + "ovou": 103571, + "æĻ®": 103572, + "ίεÏĤ": 103573, + "оÑĢоÑĪ": 103574, + "Ġolmak": 103575, + "Ġstát": 103576, + "diÄŁi": 103577, + "Ġtình": 103578, + "ĠdÄĽ": 103579, + "ĠگرÙģ": 103580, + "Ïĥο": 103581, + "ĠÑĥÑĤ": 103582, + "íķĻêµIJ": 103583, + "ัà¸IJ": 103584, + "าà¸Ń": 103585, + "ĠÄijặt": 103586, + "ĠмогÑĥÑĤ": 103587, + "ë°°": 103588, + "tik": 103589, + "ª½": 103590, + "liÄŁ": 103591, + "ÏĢε": 103592, + "ĠèĢ": 103593, + "kü": 103594, + "adece": 103595, + "κÏĮ": 103596, + "ĠдÑĸ": 103597, + "ầm": 103598, + "çĦ¡ãģĹ": 103599, + "Û²Û°Û±": 103600, + "èµĽ": 103601, + "оÑģÑĥд": 103602, + "ĠìķĪëĤ´": 103603, + "ĠÐĶж": 103604, + "座": 103605, + "ických": 103606, + "Ġìłģ": 103607, + "à¥ĩ,": 103608, + "ového": 103609, + "Ġvẫn": 103610, + "Ġbirlikte": 103611, + "Ġरà¤ĸ": 103612, + "ĠÙĨÙĩ": 103613, + "ÙĤر": 103614, + "पर": 103615, + "etÃŃ": 103616, + "ĠÑĤÑĭ": 103617, + "ĢìĿ´": 103618, + "Ġà¤ħल": 103619, + "Ġможе": 103620, + "ãĤ´": 103621, + "Ġstran": 103622, + "طر": 103623, + "è¿Ļ个": 103624, + "Ġبع": 103625, + "åĨĽ": 103626, + "ektir": 103627, + "ĠhÆ°á»Ľng": 103628, + "ÙĨاÙĨ": 103629, + "Ġà¤ij": 103630, + "ÏĮÏĦη": 103631, + "оÑģк": 103632, + "åįĥ": 103633, + "asına": 103634, + "ĠØ´Ùĩ": 103635, + "ĠдеÑĢ": 103636, + "ĠÙħخت": 103637, + "ĠØŃÙĤ": 103638, + "ãĥ¾": 103639, + "ساÙĨ": 103640, + "Ġcung": 103641, + "коÑĢиÑģÑĤ": 103642, + "ÏĦικά": 103643, + "Ġвона": 103644, + "با": 103645, + "ãģķãĤĮãģŁ": 103646, + "nout": 103647, + "Ġı": 103648, + "è§ī": 103649, + "ĠÃ¶ÄŁren": 103650, + "Ġì½Ķ": 103651, + "带": 103652, + "Ñģлов": 103653, + "ĠεÏĢι": 103654, + "ê°IJ": 103655, + "ĠÙħرب": 103656, + "ĠÙģÛĮÙĦÙħ": 103657, + "ĠкÑĢов": 103658, + "Ġëį°": 103659, + "ाण": 103660, + "Ġelekt": 103661, + "ĠнаÑĢод": 103662, + "ÛĮدÙĩ": 103663, + "ç´Ħ": 103664, + "ĠпÑĢоÑĦ": 103665, + "ÏģοÏĤ": 103666, + "Ġãħ": 103667, + "ä¸įæĺ¯": 103668, + "Ġà¤ľà¤¨": 103669, + "ัล": 103670, + "ĠصÙĪرت": 103671, + "ãĥľ": 103672, + "Ġà¤Ĺà¤Ī": 103673, + "ÄŁitim": 103674, + "ÑģÑĮкиÑħ": 103675, + "Ġлег": 103676, + "ĠتÙĪÙĦ": 103677, + "Ġìļ´": 103678, + "عر": 103679, + "ĠmÃłu": 103680, + "гов": 103681, + "æ³¢": 103682, + "indeki": 103683, + "ìłģìĿ¸": 103684, + "ấm": 103685, + "ĠíĻķ": 103686, + "ĠباÛĮد": 103687, + "à¹Įà¸Ĺ": 103688, + "Ġkendi": 103689, + "ีว": 103690, + "ิà¸ģาร": 103691, + "ĠکردÙĩ": 103692, + "å·´": 103693, + "à¤ģ": 103694, + "ราà¸Ĭ": 103695, + "à¥įश": 103696, + "ĠÐĶлÑı": 103697, + "å¥ĩ": 103698, + "ĠÑĥÑģÑĤанов": 103699, + "йÑĤе": 103700, + "ãĤĩ": 103701, + "άÏģ": 103702, + "ĠЮ": 103703, + "ĠluáºŃt": 103704, + "ãĢī": 103705, + "è´¨": 103706, + "دا": 103707, + "Ġdüzen": 103708, + "สà¸Ļ": 103709, + "ÑĢон": 103710, + "dıģı": 103711, + "âĢĻda": 103712, + "Ġfarklı": 103713, + "Ñħов": 103714, + "lán": 103715, + "ÑĩаÑģ": 103716, + "Ñĩин": 103717, + "Ġì°¸": 103718, + "ì´Ī": 103719, + "ÑĨип": 103720, + "ç¹": 103721, + "éĸĢ": 103722, + "жа": 103723, + "ÑĢован": 103724, + "à¸ĵะ": 103725, + "ÙĦÙĬزÙĬØ©": 103726, + "Ïĩει": 103727, + "à¥Ī.": 103728, + "кÑģп": 103729, + "اÙĪر": 103730, + "Ġnguyên": 103731, + "ãģ«ãĤĪ": 103732, + "à¥ĩम": 103733, + "ÏĥÏĦε": 103734, + "تÙĪ": 103735, + "Äįek": 103736, + "ÑĨÑĭ": 103737, + "Ġ물": 103738, + "ÑįÑĤ": 103739, + "Ġkazan": 103740, + "Ùģس": 103741, + "ehir": 103742, + "вÑĸÑĤ": 103743, + "ĠدÙĪÙĦ": 103744, + "Ġëĵľ": 103745, + "Ġà¤ļल": 103746, + "еÑģÑĤва": 103747, + "δα": 103748, + "ĠбÑĥв": 103749, + "ĠÐĿе": 103750, + "ØŃر": 103751, + "огÑĢаÑĦ": 103752, + "Ġrozhod": 103753, + "ĠвикоÑĢиÑģÑĤ": 103754, + "Ġyêu": 103755, + "λοÏĤ": 103756, + "کس": 103757, + "Ġشب": 103758, + "ิษ": 103759, + "æ¯į": 103760, + "ĠдоÑĢ": 103761, + "Ġnghá»ĩ": 103762, + "Ġtrang": 103763, + "à¥ĩद": 103764, + "Ġtìm": 103765, + "Ñĩно": 103766, + "ĠاÙħا": 103767, + "éģĭ": 103768, + "کر": 103769, + "ké": 103770, + "ĠvÄĽt": 103771, + "ĠнаÑģÑĤ": 103772, + "Ġæ±": 103773, + "ĠåĽ½": 103774, + "Ġgiảm": 103775, + "ادÙĬ": 103776, + "ëĤľ": 103777, + "ë¡ł": 103778, + "Ġ､": 103779, + "ĠденÑĮ": 103780, + "ÑĨÑĸÑİ": 103781, + "Ġhạn": 103782, + "ẳng": 103783, + "λή": 103784, + "eyen": 103785, + "ä¸Ķ": 103786, + "æѦ": 103787, + "ĠÑĦак": 103788, + "à¹Īà¸Ńà¸Ļ": 103789, + "Ġοι": 103790, + "زÙħ": 103791, + "ãģĹãģ¦ãģĦãĤĭ": 103792, + "лива": 103793, + "âĢķâĢķ": 103794, + "Ġöl": 103795, + "Ġà¤ĵ": 103796, + "ÑģÑĤÑĸ": 103797, + "à¸ģรรม": 103798, + "Ġtục": 103799, + "Ġgörün": 103800, + "ãģĹãģ¾": 103801, + "Ġì¦": 103802, + "馬": 103803, + "Ġможна": 103804, + "ĠÚ©ÙĦ": 103805, + "ĠÑĨенÑĤ": 103806, + "ĠìĻ¸": 103807, + "Îĺ": 103808, + "çĩ": 103809, + "Ġgelen": 103810, + "ĠاÙĬÙĨ": 103811, + "Ġآب": 103812, + "Ġà¤Ĩय": 103813, + "ัà¸ģษ": 103814, + "Ñģим": 103815, + "ĠболÑĮÑĪ": 103816, + "Ġмн": 103817, + "оди": 103818, + "ĠÄ°l": 103819, + "Ġà¤Ĩर": 103820, + "еÑĤе": 103821, + "ÑĨиÑİ": 103822, + "áºŃu": 103823, + "Ġtiếng": 103824, + "ë¶ģ": 103825, + "æ§ĺ": 103826, + "ĠнаÑĪ": 103827, + "มา": 103828, + "âĢĻın": 103829, + "ãĥĥãĥĹ": 103830, + "ÙĪجÙĩ": 103831, + "ĠØŃد": 103832, + "ává": 103833, + "رÙĪØ´": 103834, + "ĠдейÑģÑĤв": 103835, + "ãģ£ãģ¦ãģĦãĤĭ": 103836, + "Ïģή": 103837, + "Ġüst": 103838, + "Ġtiết": 103839, + "acaÄŁ": 103840, + "ĠÐŁÐ¾": 103841, + "éĬ": 103842, + "머": 103843, + "chod": 103844, + "ĠØ¢ÙħÙĪز": 103845, + "ãģŁãĤģ": 103846, + "Ġchuyên": 103847, + "Ġuygu": 103848, + "нÑĸÑģÑĤ": 103849, + "ë´": 103850, + "æݧ": 103851, + "ÑĥÑİÑĤÑĮ": 103852, + "Äįi": 103853, + "ãģ¹": 103854, + "à¥Ĥन": 103855, + "æĹ©": 103856, + "ãĥĩãĤ£": 103857, + "èĴ": 103858, + "Ġشخص": 103859, + "ĠÑħоÑĤ": 103860, + "ĠÚ©ÙĨÛĮد": 103861, + "гл": 103862, + "à¸Ńà¸Ńà¸ģ": 103863, + "éĢĻ": 103864, + "ĠزÛĮر": 103865, + "íķŃ": 103866, + "ĠÃĸz": 103867, + "åij³": 103868, + "ØŃدة": 103869, + "Ġkažd": 103870, + "ĠÑĨвеÑĤ": 103871, + "Ġç¾": 103872, + "Ġкож": 103873, + "ĠÐŃÑĤо": 103874, + "ÑıÑĤелÑĮ": 103875, + "лаÑģÑĮ": 103876, + "âĢĮØ´ÙĪد": 103877, + "μι": 103878, + "Ġæ²": 103879, + "Ġsüre": 103880, + "ละ": 103881, + "éħĴ": 103882, + "ึà¸ģษ": 103883, + "λλά": 103884, + "çij": 103885, + "ĠìĥĪ": 103886, + "Ġसह": 103887, + "ĠHÃł": 103888, + "ë¦¬ê³ł": 103889, + "صر": 103890, + "ĠæĬķ": 103891, + "éłŃ": 103892, + "Ġbá»ĩnh": 103893, + "ĠìĥĿê°ģ": 103894, + "Ġà¤ħà¤Ń": 103895, + "ê³µì§Ģ": 103896, + "ìĶ": 103897, + "á»Ŀi": 103898, + "çŃĶ": 103899, + "ĠbÃłi": 103900, + "одÑĸ": 103901, + "าà¸Ĥ": 103902, + "ников": 103903, + "Ġdönem": 103904, + "วม": 103905, + "ãĥĨãĤ£": 103906, + "ारण": 103907, + "оги": 103908, + "Ġkiá»ĥm": 103909, + "оÑĦ": 103910, + "äºĪ": 103911, + "åĨ³": 103912, + "اÙĦات": 103913, + "Ġnếu": 103914, + "Ġcest": 103915, + "زش": 103916, + "ÙİÙĦ": 103917, + "Ġتأ": 103918, + "ĠÄijạo": 103919, + "Ïįν": 103920, + "ĠвнÑĥ": 103921, + "ĠجاÙħ": 103922, + "ivnÃŃ": 103923, + "ĠìŀĪìĬµëĭĪëĭ¤": 103924, + "ÏĬ": 103925, + "æĦĽ": 103926, + "ãĥĽ": 103927, + "мÑĸн": 103928, + "ĠtÃŃm": 103929, + "ằm": 103930, + "ê·ł": 103931, + "äºķ": 103932, + "Ġxây": 103933, + "ĠìĽĶ": 103934, + "елен": 103935, + "Ġà¹Ĥà¸Ķย": 103936, + "اÙĦÙĩ": 103937, + "Ġbất": 103938, + "á»ĵm": 103939, + "âĢĮÚ¯": 103940, + "ÙĪرة": 103941, + "بات": 103942, + "Ġbán": 103943, + "ẫu": 103944, + "اÙĨÙĪÙĨ": 103945, + "Ġzákon": 103946, + "áž": 103947, + "ì¶Ķ": 103948, + "à¹ģà¸ģ": 103949, + "ãĤįãģĨ": 103950, + "ÑĢоÑĤ": 103951, + "çĵ": 103952, + "Ġвони": 103953, + "Ġxác": 103954, + "ĠدÛĮگر": 103955, + "ÏĢοι": 103956, + "ĠнеÑģк": 103957, + "رسÛĮ": 103958, + "ĠëĿ¼": 103959, + "تÙĦ": 103960, + "λά": 103961, + "ĠÑıвлÑıеÑĤÑģÑı": 103962, + "ä¾Ŀ": 103963, + "Ġåħ¬": 103964, + "Ĺi": 103965, + "ĠíĬ¹": 103966, + "ÙĥÙĪÙĨ": 103967, + "ắp": 103968, + "جÙħÙĪع": 103969, + "ÏĨοÏģ": 103970, + "ело": 103971, + "Ġgüven": 103972, + "Ġмай": 103973, + "ĠÑģоз": 103974, + "à¸ģระ": 103975, + "ĠاسÙĦاÙħ": 103976, + "ĠÑīе": 103977, + "Ġsá»ijng": 103978, + "à¥įब": 103979, + "کار": 103980, + "ĠthuáºŃt": 103981, + "ĠnÃŃ": 103982, + "第ä¸Ģ": 103983, + "è¦ĸ": 103984, + "à¹Ģà¸ģม": 103985, + "اÙĬØ©": 103986, + "ĠÎĪ": 103987, + "ãĤ¶": 103988, + "ĠÙħÙĪÙĤع": 103989, + "ĠåĴ": 103990, + "è¡ĵ": 103991, + "ĠÐŀд": 103992, + "Ġä¸ī": 103993, + "lerinde": 103994, + "ĠÑģвоÑĹ": 103995, + "à¥Ģà¤ı": 103996, + "ĠthÆ°Æ¡ng": 103997, + "ÏĥÏĦο": 103998, + "ĠغÙĬر": 103999, + "Ġپر": 104000, + "ĠÑģебе": 104001, + "Ġвк": 104002, + "Ġkhai": 104003, + "ãĤĢ": 104004, + "ĠÙĨظر": 104005, + "ĠдокÑĥм": 104006, + "à¹ĩà¸ļ": 104007, + "ĠíķľêµŃ": 104008, + "ï½ī": 104009, + "å·¥ç¨ĭ": 104010, + "ĠÙĪÙĦ": 104011, + "ØŃÙĬ": 104012, + "Ġпла": 104013, + "ĠÄ°stanbul": 104014, + "âĢĻde": 104015, + "алÑģÑı": 104016, + "ĠØ¢ÙĨÙĩا": 104017, + "ĠاÙĩ": 104018, + "Ġê´Ģ리": 104019, + "Ġanh": 104020, + "Å¡ÃŃm": 104021, + "larla": 104022, + "ï¼Ŀ": 104023, + "nostÃŃ": 104024, + "ÑģÑĤве": 104025, + "ÛĮÙģ": 104026, + "Ġگرد": 104027, + "ãĤĮãĤĭ": 104028, + "Ġvá»±": 104029, + "ÄĽnÃŃ": 104030, + "Ġgörev": 104031, + "Ġyılında": 104032, + "Ġlợi": 104033, + "Ġanlam": 104034, + "ĠпÑĢовод": 104035, + "ÑĨÑİ": 104036, + "Ġåī": 104037, + "Ġë§İ": 104038, + "ÑĢаÑģ": 104039, + "ĠŽ": 104040, + "کاÙĨ": 104041, + "ÐĻ": 104042, + "ãģ£ãģ¨": 104043, + "Ú©ÙĦ": 104044, + "ายà¸Ļ": 104045, + "عاÙĦ": 104046, + "Ġký": 104047, + "ĠмаÑĤеÑĢи": 104048, + "ê»ĺ": 104049, + "ılması": 104050, + "μÎŃν": 104051, + "ĠÙĨÙħÛĮ": 104052, + "Ġcuá»Ļc": 104053, + "Ġδεν": 104054, + "å¹²": 104055, + "＿＿＿＿": 104056, + "à¥Ģà¤Ł": 104057, + "Ġçıkar": 104058, + "ĠkonuÅŁ": 104059, + "иÑĤелÑĮно": 104060, + "lantı": 104061, + "à¹Ħล": 104062, + "å¾ĭ": 104063, + "ĠíĶ¼": 104064, + "ìĻ¸": 104065, + "Ġsáng": 104066, + "éģĶ": 104067, + "ожд": 104068, + "Ġآخر": 104069, + "ilece": 104070, + "à¥Īन": 104071, + "Ġjedn": 104072, + "ĠÑģпеÑĨи": 104073, + "´Ŀ": 104074, + "ĠÚĺ": 104075, + "ĠãĢĤĊ": 104076, + "èģĮ": 104077, + "ĠÙĨÛĮ": 104078, + "ÑĤоÑĢа": 104079, + "λι": 104080, + "ĠÙĪب": 104081, + "iÅŁim": 104082, + "ç»´": 104083, + "ãĢĢi": 104084, + "Ġmua": 104085, + "Ġjiž": 104086, + "è¶Ĭ": 104087, + "ãĤĴè¦ĭ": 104088, + "Ġná»Ļi": 104089, + "à¥įà¤Ĺ": 104090, + "種": 104091, + "ĠãĢĢãĢĢãĢĢ": 104092, + "à¹ĥหม": 104093, + "ĠÎĨ": 104094, + "ÙĨدÛĮ": 104095, + "ĠÑģÑĩ": 104096, + "Ġlá»ĩ": 104097, + "lub": 104098, + "еÑĢÑĤ": 104099, + "ĠاطÙĦ": 104100, + "ĠÑģеÑĢед": 104101, + "Ġéģ": 104102, + "Ġзал": 104103, + "ÙĨÛĮÙĨ": 104104, + "çŁ¥éģĵ": 104105, + "Ø¢ÙĨ": 104106, + "Ġкап": 104107, + "Ġà¹Ħม": 104108, + "ůvod": 104109, + "ĠپاÛĮ": 104110, + "ÑĤÑĢи": 104111, + "Ġiht": 104112, + "à¹Ĭ": 104113, + "ĠвÑģÑĸ": 104114, + "Ġthay": 104115, + "åĨµ": 104116, + "ĠعÙĨÙĪاÙĨ": 104117, + "ĠÎ¥": 104118, + "à¸Ŀ": 104119, + "εÏĦαι": 104120, + "iyordu": 104121, + "ï¼ĮèĢĮ": 104122, + "çļĦ人": 104123, + "Ġसà¤Ń": 104124, + "à¹īà¸Ńย": 104125, + "ικο": 104126, + "ãĤĵãģ§": 104127, + "족": 104128, + "ÙĨجÙĦÙĬزÙĬØ©": 104129, + "Ġžád": 104130, + "ÑĢави": 104131, + "γγ": 104132, + "æµĭ": 104133, + "оÑĨÑĸ": 104134, + "ãĢĢãĢĢĠãĢĢ": 104135, + "Ġतरह": 104136, + "ĠëĨ": 104137, + "à¥Ģà¤ļ": 104138, + "à¹Īม": 104139, + "Ġgá»ĵm": 104140, + "Ġkiá»ĩn": 104141, + "è·Ł": 104142, + "Φ": 104143, + "esinin": 104144, + "é¥": 104145, + "é«Ķ": 104146, + "оÑĩно": 104147, + "रण": 104148, + "æĺ¥": 104149, + "ç¶ĵ": 104150, + "Ġبار": 104151, + "ê·¼": 104152, + "éĻħ": 104153, + "ĠسÙĬ": 104154, + "ÑģÑĥÑĤ": 104155, + "ìµľ": 104156, + "å±ħ": 104157, + "ĠÄįesk": 104158, + "ÎijÎĿ": 104159, + "Ġdiá»ĩn": 104160, + "Ġεί": 104161, + "à¸ĩà¸Ĺ": 104162, + "ãĤ©": 104163, + "Ġvá»±c": 104164, + "вав": 104165, + "tıģı": 104166, + "Ġëªħ": 104167, + "ην": 104168, + "виÑĤ": 104169, + "ĠØ£Ùĥ": 104170, + "ĠпÑĢоп": 104171, + "rak": 104172, + "ÑĢаÑĤи": 104173, + "ĠÄijánh": 104174, + "ÑĢеп": 104175, + "ê´ij": 104176, + "еÑĨÑĮ": 104177, + "Ġबत": 104178, + "ĠåĮĹ": 104179, + "Ġsát": 104180, + "ledi": 104181, + "ìłģìľ¼ë¡ľ": 104182, + "ůj": 104183, + "Û°Û°": 104184, + "Ġnasıl": 104185, + "ĠÙĪس": 104186, + "Ġεξ": 104187, + "вÑĭ": 104188, + "ç½Ĺ": 104189, + "ارÛĮØ®": 104190, + "à¸Ľà¸¥": 104191, + "ίκ": 104192, + "Ġê¸Ī": 104193, + "åĩł": 104194, + "å¼·": 104195, + "è¿Ķ": 104196, + "Ġnhá»ı": 104197, + "å¾Ģ": 104198, + "Ġдаже": 104199, + "Ġçev": 104200, + "кÑĸ": 104201, + "ĠØ£Ùħ": 104202, + "ีส": 104203, + "สามารà¸ĸ": 104204, + "ĠÐĦ": 104205, + "ÑħодиÑĤ": 104206, + "ëĸ": 104207, + "Ġtruyá»ģn": 104208, + "ĠÑģÑĤан": 104209, + "ëĵ¤ìĿĢ": 104210, + "اÙĦت": 104211, + "़à¥ĩ": 104212, + "Ġà¤ħब": 104213, + "æķ¸": 104214, + "ĠдÑĸÑı": 104215, + "ĠÙħتر": 104216, + "Ġë¸": 104217, + "ï¾į": 104218, + "Ġê³¼": 104219, + "ĠزÛĮ": 104220, + "ëŁ¼": 104221, + "ĠÐŁÐµÑĢ": 104222, + "Ġsık": 104223, + "ноÑģÑĤÑĮÑİ": 104224, + "Ġeden": 104225, + "ادر": 104226, + "ãĦ": 104227, + "ĠлеÑĩ": 104228, + "ĠÙĩØ°Ùĩ": 104229, + "ضÙĪع": 104230, + "ĠìķĦëĭĪ": 104231, + "irket": 104232, + "Ġاگر": 104233, + "ĠÑħоÑĩ": 104234, + "Ġбан": 104235, + "íĶĮ": 104236, + "æĢİä¹Ī": 104237, + "èĽ": 104238, + "Ġबà¤ļ": 104239, + "Ġکتاب": 104240, + "çīĮ": 104241, + "Ġдва": 104242, + "جر": 104243, + "ĠпÑĢоÑģÑĤо": 104244, + "Ġà¤Ĩव": 104245, + "Ġmức": 104246, + "į¼": 104247, + "ĠjÃŃ": 104248, + "íİĺ": 104249, + "Ġtamam": 104250, + "åĪĽ": 104251, + "à¸Ĵ": 104252, + "пеÑĩ": 104253, + "à¥ĭस": 104254, + "ĠÑģем": 104255, + "ĠtÆ°Æ¡ng": 104256, + "ä¸ģ": 104257, + "ī´": 104258, + "ĠÑĢоÑģ": 104259, + "ĠмаÑĶ": 104260, + "æŃĮ": 104261, + "ĠداÙĨÙĦÙĪد": 104262, + "ĠLoÃłi": 104263, + "Ġedilm": 104264, + "Ġkonu": 104265, + "ĠاÙĦÙħر": 104266, + "ĠulaÅŁ": 104267, + "Ġyüksek": 104268, + "οι": 104269, + "ÙİÙĨ": 104270, + "ĠbÄĽ": 104271, + "ãĤ·ãĥ§ãĥ³": 104272, + "￣￣￣￣": 104273, + "Ġgüç": 104274, + "ĠاÙĪÙĦ": 104275, + "Ġма": 104276, + "Ġبخش": 104277, + "ाà¤ĸ": 104278, + "ĠвиÑģ": 104279, + "ženÃŃ": 104280, + "Ġzpůsob": 104281, + "znam": 104282, + "ĠرÙĪÛĮ": 104283, + "åĭĿ": 104284, + "।Ċ": 104285, + "ÙĦÙĤ": 104286, + "Ġжиз": 104287, + "ÑĢÑĸв": 104288, + "ĠÑĥпÑĢав": 104289, + "Ġphá»ij": 104290, + "icros": 104291, + "Ġà¹ģà¸ķ": 104292, + "Ġë°ķ": 104293, + "ÙĪات": 104294, + "ï¼Įä¸Ģ": 104295, + "анÑģ": 104296, + "ç´ļ": 104297, + "ยà¸Ļ": 104298, + "à¹ģà¸Ĥ": 104299, + "Ġgiáo": 104300, + "äºĮäºĮ": 104301, + "ĠÄ°s": 104302, + "ìĬ¹": 104303, + "Ġolacak": 104304, + "ĠCác": 104305, + "ĠÑĢÑĥб": 104306, + "ẹp": 104307, + "ÄŁiniz": 104308, + "ãģªãģ©": 104309, + "ĠмоÑĢ": 104310, + "ĠÑģдел": 104311, + "ÙĦÙħاÙĨ": 104312, + "ném": 104313, + "å°į": 104314, + "Ġdne": 104315, + "ì¶ľìŀ¥": 104316, + "عب": 104317, + ":::::::": 104318, + "ÎĴ": 104319, + "eket": 104320, + "ĠÑĢеÑĪ": 104321, + "èĪ¬": 104322, + "ĠíĻĶ": 104323, + "صد": 104324, + "ĠмаÑĢ": 104325, + "Ñıж": 104326, + "شار": 104327, + "ãģ²": 104328, + "ĠاÙĦÙĬ": 104329, + "Ùį": 104330, + "à¤Ĥà¤ľ": 104331, + "мÑĭ": 104332, + "Ġkarar": 104333, + "ÙĦÛĮسÛĮ": 104334, + "าà¸ĵ": 104335, + "群": 104336, + "Ġolması": 104337, + "Ġhazır": 104338, + "γÏģαÏĨ": 104339, + "¯u": 104340, + "вол": 104341, + "ĠÑģÑĤаÑĢ": 104342, + "ovala": 104343, + "Ġвозмож": 104344, + "Ġдав": 104345, + "風": 104346, + "را": 104347, + "Ġдопом": 104348, + "ê²ĥ": 104349, + "Ġìĺ¬": 104350, + "Ġåİ": 104351, + "Ġ못": 104352, + "uç": 104353, + "íļ": 104354, + "lük": 104355, + "ä¸Ńå¿ĥ": 104356, + "Ġदर": 104357, + "ĠâĹĨ": 104358, + "Ġtay": 104359, + "ĠبسÛĮ": 104360, + "ĠÏĥÏĦα": 104361, + "ĠÙħØ®": 104362, + "ÑıÑī": 104363, + "å·®": 104364, + "à¸ī": 104365, + "ëł¹": 104366, + "à¹ĥà¸Ļà¸ģาร": 104367, + "ĠÙĩÙĨ": 104368, + "ãģ¶": 104369, + "лÑĸд": 104370, + "åį°": 104371, + "Ġsao": 104372, + "ÅĻad": 104373, + "리ëĬĶ": 104374, + "Ñģлед": 104375, + "åĶ®": 104376, + "Ġ|:": 104377, + "æķĻèĤ²": 104378, + "Ġмол": 104379, + "ĠÙĩÙĬ": 104380, + "ëģ": 104381, + "ĠкÑĥлÑĮ": 104382, + "'nin": 104383, + "Ġخر": 104384, + "Ġgenel": 104385, + "Ġtá»Ń": 104386, + "Ġkurul": 104387, + "енÑĤи": 104388, + "à¥ĭà¤ľà¤¨": 104389, + "è¿Ļæł·": 104390, + "ĠмÑĸж": 104391, + "Ġnghiá»ĩm": 104392, + "ĠÏĢολ": 104393, + "æĭĽ": 104394, + "Ġà¤Ĺà¤ı": 104395, + "ầy": 104396, + "Ġcảm": 104397, + "ç´°": 104398, + "rıca": 104399, + "ĠعÙĦÛĮ": 104400, + "ิà¹ī": 104401, + "hur": 104402, + "ĠchÆ°a": 104403, + "ÑĥÑĶÑĤÑĮÑģÑı": 104404, + "ãģ©ãģĨ": 104405, + "Ñĥл": 104406, + "ิร": 104407, + "Ġæľī": 104408, + "ä¼¼": 104409, + "ÑĦеÑĢ": 104410, + "ÑįÑĤомÑĥ": 104411, + "æĹħ": 104412, + "ĠÙħÙĪج": 104413, + "Ġ본": 104414, + "Ġgiá»Ŀ": 104415, + "Ġkiến": 104416, + "à¹Īวย": 104417, + "Ġdüny": 104418, + "ĠزÙħ": 104419, + "овÑĸ": 104420, + "ĠÑĨÑĮого": 104421, + "ิà¸ļ": 104422, + "ĠìĨIJ": 104423, + "èIJ¥": 104424, + "ĠÑĢÑĸз": 104425, + "Ġhá»Ĺ": 104426, + "ÑĢÑĸб": 104427, + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 104428, + "ìľ¼ë©°": 104429, + "äºĨä¸Ģ": 104430, + "ĠÙĤبÙĦ": 104431, + "é¾Ļ": 104432, + "Ġگذ": 104433, + "ĠÙĤد": 104434, + "ãģªãģĭãģ£ãģŁ": 104435, + "Ġà¹Ģร": 104436, + "å¸Į": 104437, + "ĠÑģÑħ": 104438, + "ĠгÑĢом": 104439, + "åĽ¢": 104440, + "Ġì§ij": 104441, + "ĠлÑĥÑĩ": 104442, + "åħµ": 104443, + "ĠÐŀÑĤ": 104444, + "Ġmuá»ijn": 104445, + "ãģĺãĤĥ": 104446, + "ovnÃŃ": 104447, + "ë©´ìĦľ": 104448, + "ë³Ģ": 104449, + "Ġнеб": 104450, + "Ñģии": 104451, + "ÙĨÙħ": 104452, + "ÄŁin": 104453, + "Ġtoho": 104454, + "eniz": 104455, + "باش": 104456, + "ĠÑģлÑĥж": 104457, + "Ġbợi": 104458, + "Ġüzere": 104459, + "Ġsadece": 104460, + "ĠÏĢαÏģ": 104461, + "³³³³³³³³³³³³³³³³": 104462, + "èĮĥ": 104463, + "ÏĦικÏĮ": 104464, + "ĠäºĮ": 104465, + "ãĤĪãģĨãģ«": 104466, + "èŀ": 104467, + "ãģ®ãģ¯": 104468, + "ĠÑĥкÑĢаÑĹн": 104469, + "Ġbắt": 104470, + "ван": 104471, + "ĠÑģÑĤÑĢа": 104472, + "è¡Ģ": 104473, + "nutÃŃ": 104474, + "okt": 104475, + "รà¸ĩà¹Ģร": 104476, + "ĠصÙģ": 104477, + "åħļ": 104478, + "ÏĦί": 104479, + "ï¼ģãĢįĊĊ": 104480, + "ĠÑĤемп": 104481, + "é¡Į": 104482, + "Ġsluž": 104483, + "Ñĥков": 104484, + "ĠnghÄ©a": 104485, + "çĶ²": 104486, + "Ġdá»ħ": 104487, + "ови": 104488, + "ÏĦÏħ": 104489, + "رÛĮÚ©": 104490, + "ĠAnh": 104491, + "ĠвÑģего": 104492, + "âĢĮÚ©ÙĨ": 104493, + "teÅĻÃŃ": 104494, + "Ġmục": 104495, + "ÙĩÙĨÚ¯": 104496, + "ĠÐŁÐ¾Ñģ": 104497, + "ÚĺÙĩ": 104498, + "ĠاÙĦغ": 104499, + "æĿ¾": 104500, + "ysl": 104501, + "Ġyapılan": 104502, + "çĪ¶": 104503, + "Ġmạnh": 104504, + "راÙĩ": 104505, + "à¸Ķà¸ĩ": 104506, + "oÄį": 104507, + "ë§IJ": 104508, + "åłĤ": 104509, + "маÑĤ": 104510, + "ĠeÅŁ": 104511, + "ÙĪÙħات": 104512, + "Ġساخت": 104513, + "åĽłä¸º": 104514, + "ĠпÑĢий": 104515, + "ılmÄ±ÅŁ": 104516, + "館": 104517, + "ุà¸ĩ": 104518, + "Ġëģ": 104519, + "à¸ķาม": 104520, + "åIJī": 104521, + "μή": 104522, + "Ġæľ¬": 104523, + "Ġzáklad": 104524, + "تØŃ": 104525, + "è¾¼": 104526, + "ĠвÑĸй": 104527, + "ĠÙħÙĨØ·": 104528, + "Ġtoán": 104529, + "каÑĢ": 104530, + "ĠÐĹа": 104531, + "ĠпÑĢимен": 104532, + "ãĤĭãģ¨": 104533, + "ัà¸Ĺ": 104534, + "ÛĮس": 104535, + "ĠاÙĨجاÙħ": 104536, + "ĠعÙĦÙĬ": 104537, + "़ि": 104538, + "ených": 104539, + "ĠLiên": 104540, + "Ġпа": 104541, + "éļĬ": 104542, + "Ġmohou": 104543, + "ĠкÑĸлÑĮ": 104544, + "ĠΤο": 104545, + "اÙĦب": 104546, + "ÎŃν": 104547, + "ĠnabÃŃ": 104548, + "çi": 104549, + "lerden": 104550, + "Ġthanh": 104551, + "Ġbütün": 104552, + "ĠåŁ": 104553, + "ì¸ł": 104554, + "Ġzat": 104555, + "ÙĬÙĪ": 104556, + "Ġμια": 104557, + "uyết": 104558, + "Ñijн": 104559, + "åĪĴ": 104560, + "ливо": 104561, + "à¹Īà¸Ńà¸ĩ": 104562, + "ä»ĸ们": 104563, + "Ġбаг": 104564, + "िà¤Ń": 104565, + "ĠÑĤам": 104566, + "ĠпÑĢеп": 104567, + "ิà¸Ĭ": 104568, + "âĢĻÑıз": 104569, + "ĠPhân": 104570, + "жен": 104571, + "à¥Īà¤ķ": 104572, + "ĠÑģлÑĥÑĩае": 104573, + "Ġ.:": 104574, + "åŃ¦æł¡": 104575, + "Ä°N": 104576, + "義": 104577, + "ĠÑģÑĤо": 104578, + "Ġहर": 104579, + "Ïħν": 104580, + "Ġxem": 104581, + "ĠбÑĥÑĤи": 104582, + "ÑģиÑĤ": 104583, + "çªģ": 104584, + "à¥įà¤Ľ": 104585, + "åij¢": 104586, + "ï¼Įä¹Ł": 104587, + "enÄĽ": 104588, + "Ġκά": 104589, + "iyorum": 104590, + "ĠÚ¯Ùģت": 104591, + "âĹıâĹıâĹıâĹı": 104592, + "ัม": 104593, + "ĠÐļон": 104594, + "ноÑĪ": 104595, + "ниÑĨÑĤ": 104596, + "üzel": 104597, + "sÃŃ": 104598, + "師": 104599, + "صÙĪÙĦ": 104600, + "çĥŃ": 104601, + "ĠÄijủ": 104602, + "ãĤ®": 104603, + "æķħ": 104604, + "ĠÅ¡kol": 104605, + "Ñĩен": 104606, + "à¹Ģย": 104607, + "à¸Ļà¸Ļ": 104608, + "ÙĢÙĢÙĢÙĢ": 104609, + "Ġüç": 104610, + "念": 104611, + "ãĥªãĤ¢": 104612, + "ĠíĻĺ": 104613, + "Ġéĩij": 104614, + "çıŃ": 104615, + "ĠÑģклад": 104616, + "Ñıми": 104617, + "üf": 104618, + "Ġhã": 104619, + "ĠÄIJại": 104620, + "ÂĤ": 104621, + "åĦª": 104622, + "Ġbulunan": 104623, + "ĠاÙĦÙħØŃ": 104624, + "æĪı": 104625, + "Ġè©": 104626, + "ĠноÑĢм": 104627, + "Ġchuẩn": 104628, + "ĠзаÑģÑĤ": 104629, + "ĠvÃŃce": 104630, + "Ðĸ": 104631, + "Ġà¤Ĩध": 104632, + "ĠÄįas": 104633, + "ĠбоÑĢ": 104634, + "Ïģια": 104635, + "ĠÙħاÙĩ": 104636, + "Ġíħ": 104637, + "ÅĻel": 104638, + "Ñıви": 104639, + "ÏĦεÏĤ": 104640, + "inÄĽ": 104641, + "ĠпеÑĢе": 104642, + "éķĩ": 104643, + "à¥įà¤ŀ": 104644, + "Ġéĺ": 104645, + "à¹Īาว": 104646, + "รร": 104647, + "ĠسÙĩ": 104648, + "вали": 104649, + "çķĻ": 104650, + "ĠÑĦÑĥнк": 104651, + "Ġíĸī": 104652, + "ÙģÙĩ": 104653, + "çĶŁæ´»": 104654, + "èģŀ": 104655, + "okud": 104656, + "ĠìĤ´": 104657, + "ızı": 104658, + "ĠполÑĥ": 104659, + "ï¼Įä½ł": 104660, + "شاÙĨ": 104661, + "決": 104662, + "бÑĢÑı": 104663, + "оÑģÑĥдаÑĢ": 104664, + "Ġoyun": 104665, + "ании": 104666, + "Ġprů": 104667, + "Ġnáv": 104668, + "ĠменÑı": 104669, + "Ġìŀĺ": 104670, + "ĠÄ°n": 104671, + "ĠthÃŃch": 104672, + "ĠÄijảm": 104673, + "åľĴ": 104674, + "Ġвже": 104675, + "ĠloÃłi": 104676, + "ĠÐŀн": 104677, + "меÑģÑĤ": 104678, + "Ġξ": 104679, + "ãĢħ": 104680, + "Ġchiế": 104681, + "ÑĩÑĸ": 104682, + "Ġíijľ": 104683, + "ëĭ¬": 104684, + "Ġëĭ¬": 104685, + "à¥Ģड": 104686, + "ÑĢалÑĮ": 104687, + "dik": 104688, + "ĠíĨł": 104689, + "ëŁī": 104690, + "ĠصÙĨ": 104691, + "Ġstej": 104692, + "ĠакÑĤив": 104693, + "Ġé¦": 104694, + "Ġà¹Ħà¸Ķ": 104695, + "æĬĢæľ¯": 104696, + "ĠprostÅĻed": 104697, + "害": 104698, + "ãģIJ": 104699, + "ĠoluÅŁtur": 104700, + "elop": 104701, + "ãģ¡ãĤĥ": 104702, + "éĥİ": 104703, + "ضا": 104704, + "Ġخط": 104705, + "ë°ķ": 104706, + "еÑģÑı": 104707, + "ĠÙĩÛĮ": 104708, + "над": 104709, + "ĠngÃłnh": 104710, + "ÑĢÑĥÑĪ": 104711, + "ãģĦãģĦ": 104712, + "Ġürün": 104713, + "à¸Ńà¸ķ": 104714, + "à¥ĭप": 104715, + "Ġsayı": 104716, + "à¥Ģस": 104717, + "ениÑħ": 104718, + "ĠÑģим": 104719, + "à¥Ģद": 104720, + "å¤ī": 104721, + "à¹Īวม": 104722, + "Ġà¹Ģà¸Ĥ": 104723, + "å·²ç»ı": 104724, + "аÑĤо": 104725, + "ĠÑĢайон": 104726, + "íĥĿ": 104727, + "ĠÑĤÑĢа": 104728, + "layan": 104729, + "ếp": 104730, + "à¤¾à¤Ł": 104731, + "خاب": 104732, + "人æ°ij": 104733, + "å®Ŀ": 104734, + "èĨ": 104735, + "èªį": 104736, + "naÄį": 104737, + "Ġîł": 104738, + "ĠÐļи": 104739, + "ĠbaÅŁka": 104740, + "ců": 104741, + "ضع": 104742, + "èĪª": 104743, + "ีม": 104744, + "Ñĭми": 104745, + "ÎĻΣ": 104746, + "Ġشرکت": 104747, + "ยว": 104748, + "ĠmusÃŃ": 104749, + "Ġнал": 104750, + "ีà¸Ĺ": 104751, + "Ġáp": 104752, + "ราย": 104753, + "æ²¹": 104754, + "leme": 104755, + "Ġमन": 104756, + "à¹Ħà¸Ł": 104757, + "аÑĤив": 104758, + "¸ı": 104759, + "èŃ°": 104760, + "ÏĥÏĦα": 104761, + "íĸ¥": 104762, + "еÑĤÑĥ": 104763, + "ĠÑģвÑıз": 104764, + "едеÑĢа": 104765, + "Ġخارج": 104766, + "าษ": 104767, + "âĢĮÙ¾": 104768, + "Ñĸг": 104769, + "é¡ŀ": 104770, + "Ġkhả": 104771, + "ĠÑģпÑĢав": 104772, + "è¡Ĺ": 104773, + "ãĥķãĤ¡": 104774, + "ĠмеждÑĥ": 104775, + "Ñĥли": 104776, + "Ġبزر": 104777, + "ÑĨен": 104778, + "Ġekonom": 104779, + "دÙĨ": 104780, + "اÙħÛĮ": 104781, + "าสà¸ķร": 104782, + "ĠnÄĽkol": 104783, + "gün": 104784, + "зи": 104785, + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł": 104786, + "离": 104787, + "ĠtrÆ°á»Łng": 104788, + "ıi": 104789, + "íݸ": 104790, + "ĠÑĢеб": 104791, + "åºķ": 104792, + "ĠتارÛĮØ®": 104793, + "нима": 104794, + "Ġthân": 104795, + "аÑĤелÑĮно": 104796, + "ĠاÙĦØ°ÙĬ": 104797, + "ÙĪÙĨÛĮ": 104798, + "Ġéĥ": 104799, + "Ġbình": 104800, + "ικήÏĤ": 104801, + "à¸ŀล": 104802, + "تÙħاع": 104803, + "ĠPraha": 104804, + "ĠÑģÑĤав": 104805, + "دÙĬد": 104806, + "Ġgiữa": 104807, + "ĠпÑĢовед": 104808, + "Âłk": 104809, + "ÙĨدگÛĮ": 104810, + "ÑĨий": 104811, + "çĴ": 104812, + "ĠاÙĦØ£Ùħ": 104813, + "Ġè´": 104814, + "Ø¥ÙĨجÙĦÙĬزÙĬØ©": 104815, + "ĠìŀĪìĹĪëĭ¤": 104816, + "ç·¨": 104817, + "ัà¸Ļà¸ĺ": 104818, + "ĠÑĢокÑĸв": 104819, + "Ġcáo": 104820, + "Ġkhó": 104821, + "ĠÙĨÙĪع": 104822, + "سÙĦ": 104823, + "ĠÑĥÑģлов": 104824, + "Ġcứu": 104825, + "ового": 104826, + "िà¤Ĺ": 104827, + "Ķëĭ¤": 104828, + "æĿİ": 104829, + "Ġbölg": 104830, + "Ġngu": 104831, + "Ġhữu": 104832, + "нии": 104833, + "ìłĪ": 104834, + "ĠпÑĢом": 104835, + "åıĮ": 104836, + "ĠdÆ°á»Ľi": 104837, + "Ю": 104838, + "ÙĬØ´": 104839, + "温": 104840, + "ëıħ": 104841, + "ĠзмÑĸ": 104842, + "θηκε": 104843, + "ĠbaÄŁlı": 104844, + "Ġüzerinde": 104845, + "Ġتغ": 104846, + "ĠпÑĢогÑĢа": 104847, + "iž": 104848, + "Ġç¥": 104849, + "Ġyardım": 104850, + "ÂĢÂĢ": 104851, + "ĠÑĥв": 104852, + "Ġrů": 104853, + "Ġchiến": 104854, + "νοÏĤ": 104855, + "ãģ¨ãģª": 104856, + "اÙĨت": 104857, + "è°·": 104858, + "ÃŃsk": 104859, + "isinde": 104860, + "Ġдог": 104861, + "追": 104862, + "ĠпÑĢоÑĤив": 104863, + "ÏģοÏħ": 104864, + "ãģ®ãģĭ": 104865, + "Ġbazı": 104866, + "ırak": 104867, + "à¥ĩष": 104868, + "ĠÙħشار": 104869, + "Ġìĸij": 104870, + "Ġнез": 104871, + "ĠØ°ÙĦÙĥ": 104872, + "調": 104873, + "åĤĻ": 104874, + "ĠÑĤÑĢан": 104875, + "ĠÏĢαÏģα": 104876, + "ÛĮÙħت": 104877, + "Ġtiến": 104878, + "ĠÙĩÙħÙĩ": 104879, + "efon": 104880, + "».ĊĊ": 104881, + "ĠÙĨد": 104882, + "جÙĦ": 104883, + "ĠدادÙĩ": 104884, + "Ġвед": 104885, + "Ġsın": 104886, + "ĠÑģвÑĸÑĤ": 104887, + "elerin": 104888, + "âĪ¨": 104889, + "Ġyür": 104890, + "дан": 104891, + "ĠÐŀÑģ": 104892, + "Ġhạng": 104893, + "许": 104894, + "ÏĥÏĦη": 104895, + "uyến": 104896, + "Ġнаб": 104897, + "ĠоÑħ": 104898, + "ÏĥÏī": 104899, + "Ġbyly": 104900, + "ÑģкиÑħ": 104901, + "lamak": 104902, + "иÑĤоÑĢ": 104903, + "Ġyatır": 104904, + "ĠпÑĢоизвод": 104905, + "ĠجÙħع": 104906, + "Åł": 104907, + "æıIJä¾Ľ": 104908, + "ĠprvnÃŃ": 104909, + "ĠαÏĢ": 104910, + "íĻ©": 104911, + "ĠпÑĢакÑĤи": 104912, + "lerinden": 104913, + "ĠнеобÑħодимо": 104914, + "康": 104915, + "Ùİا": 104916, + "ĠسÙĨ": 104917, + "Ä°L": 104918, + "Ġê´ij": 104919, + "ĠPÅĻ": 104920, + "çŀ": 104921, + "ĠÑĤемпеÑĢаÑĤÑĥ": 104922, + "Ġkabul": 104923, + "Ġbudou": 104924, + "ÑĨÑĸоналÑĮ": 104925, + "ï½ľ": 104926, + "Ġçocuk": 104927, + "ĠÑĤÑĸлÑĮки": 104928, + "byt": 104929, + "ãĥ¤": 104930, + "ĠÑģÑĤаÑĤ": 104931, + "ĠæĿ±": 104932, + "ležit": 104933, + "اسطة": 104934, + "ุร": 104935, + "iêm": 104936, + "ĠкÑĥлÑĮÑĤÑĥ": 104937, + "Ġпон": 104938, + "Ä©nh": 104939, + "åĸľ": 104940, + "нев": 104941, + "ÑĶн": 104942, + "ĠÑģооÑĤ": 104943, + "ëĿ": 104944, + "çĪ¾": 104945, + "Ġtuá»ķi": 104946, + "kanı": 104947, + "สำหร": 104948, + "اعت": 104949, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 104950, + "деÑĢж": 104951, + "ĠоблаÑģÑĤи": 104952, + "Ġvừa": 104953, + "ĠÙħÙħ": 104954, + "à¸ģำ": 104955, + "à¹ģม": 104956, + "iversit": 104957, + "à¹ģส": 104958, + "欧": 104959, + "lanan": 104960, + "ÙĬÙĨØ©": 104961, + "سة": 104962, + "ĠлÑİдей": 104963, + "รรม": 104964, + "Ġì±Ħ": 104965, + "Ġ天": 104966, + "еннÑĭÑħ": 104967, + "à¹ģห": 104968, + "Ġspráv": 104969, + "èѦ": 104970, + "ï¼ľ": 104971, + "ัà¸Ĵ": 104972, + "ilecek": 104973, + "ĠæŁ": 104974, + "Ġèĭ±": 104975, + "ĠÑħоÑĢоÑĪ": 104976, + "ëłĩ": 104977, + "Û²Û°Û°": 104978, + "æĬ¤": 104979, + "Ġlã": 104980, + "ÅĻÃŃzenÃŃ": 104981, + "ĠتÙĪÙĦÛĮد": 104982, + "éļĽ": 104983, + "ãĤĮãģ°": 104984, + "áš": 104985, + "ارÙĬØ®": 104986, + "æĶ»": 104987, + "Ġkhoảng": 104988, + "éĻį": 104989, + "ован": 104990, + "Ġgây": 104991, + "âĢĻnın": 104992, + "Ø£ÙĨ": 104993, + "miÅŁtir": 104994, + "Ġsức": 104995, + "кÑĥÑģ": 104996, + "Ġüzerine": 104997, + "ÄŁÃ¼": 104998, + "ابر": 104999, + "ï¼Įå°±": 105000, + "Ì£": 105001, + "ĠëıĮ": 105002, + "Ġtrá»±c": 105003, + "æĶ¶å½ķ": 105004, + "æī¿": 105005, + "ĠNá»Ļi": 105006, + "ĠçĻ¾": 105007, + "ÑĪÑĮ": 105008, + "جة": 105009, + "ë²ł": 105010, + "à¤ī": 105011, + "à¸ı": 105012, + "Ġülk": 105013, + "ĠÙĩستÙĨد": 105014, + "ัà¸ļà¸ģาร": 105015, + "ĠÑıка": 105016, + "ãİ": 105017, + "ĠЯк": 105018, + "Ġгде": 105019, + "tiv": 105020, + "ãĢĪ": 105021, + "лÑİÑĩа": 105022, + "ा।Ċ": 105023, + "ĠÙħاÙĨ": 105024, + "Ġdlou": 105025, + "Ġãĥķ": 105026, + "à¤Ľ": 105027, + "Ġphục": 105028, + "akat": 105029, + "Ь": 105030, + "asını": 105031, + "ĠæĬķ稿": 105032, + "ÑĢев": 105033, + "Ġvyt": 105034, + "ĠzmÄĽ": 105035, + "ÏĦÏī": 105036, + "è¬": 105037, + "ĠÑĥм": 105038, + "Ġuzun": 105039, + "Ġproti": 105040, + "ĠÑģоÑģÑĤоÑı": 105041, + "ัà¸Ĵà¸Ļ": 105042, + "atik": 105043, + "Ġà¸ł": 105044, + "Ġà¤Ĩद": 105045, + "larından": 105046, + "æĢ¥": 105047, + "ãĥ¼ãĤ¯": 105048, + "ĠÙĦÙĦÙħ": 105049, + "ÙģتÙĩ": 105050, + ".:.": 105051, + "üçük": 105052, + "олева": 105053, + "à¹ĮĊ": 105054, + "ĠпеÑĢев": 105055, + "ĠÙĨسب": 105056, + "еленнÑı": 105057, + "'ın": 105058, + "νÏī": 105059, + "è¡£": 105060, + "ĠدÙĬ": 105061, + "åįĩ": 105062, + "Ġbelirt": 105063, + "Ġ/:": 105064, + "èijī": 105065, + "Ġvyh": 105066, + "çļĦä¸Ģ": 105067, + "èĥĮ": 105068, + "ĠìĹ´": 105069, + "ола": 105070, + "Ġتب": 105071, + "áci": 105072, + "ाà¤ī": 105073, + "à¸İ": 105074, + "çĶ¢": 105075, + "à¥Īल": 105076, + "ĠÙĤØ·": 105077, + "ëĦĪ": 105078, + "ắm": 105079, + "ÑĢÑıд": 105080, + "Ġphụ": 105081, + "ĠÙĪاÙĤع": 105082, + "Ġmerk": 105083, + "Ġchá»ijng": 105084, + "å¯Ł": 105085, + "ابط": 105086, + "usunda": 105087, + "Ġодна": 105088, + "žel": 105089, + "ĠÑģÑĥм": 105090, + "Ġphù": 105091, + "Ġζ": 105092, + "Ġzav": 105093, + "edn": 105094, + "ĠpotÅĻeb": 105095, + "ĠÚ©ÙĨÙĨد": 105096, + "ĠÑĢазв": 105097, + "¿ł": 105098, + "ĠاÙĦز": 105099, + "ĠmÄĽl": 105100, + "ĠÑģÑĤанов": 105101, + "ĠدرÛĮ": 105102, + "Ġtượng": 105103, + "ãģµ": 105104, + "Ġдви": 105105, + "ÑĮÑı": 105106, + "製": 105107, + "ĠتÙĦ": 105108, + "Å¡Å¥": 105109, + "ãģªãĤī": 105110, + "Ġà¤ķà¤Ī": 105111, + "Å¡i": 105112, + "âĢĮاست": 105113, + "Ġkỹ": 105114, + "ë§Ŀ": 105115, + "Ġà¤Ĩà¤ľ": 105116, + "ãĥ´": 105117, + "Ġbá»ı": 105118, + "duÄŁu": 105119, + "Ġæ¯": 105120, + "пеÑĢ": 105121, + "اÙĦÙĬØ©": 105122, + "æīĢ以": 105123, + "åħ°": 105124, + "Ġoran": 105125, + "Ġíŀ": 105126, + "Ïĥία": 105127, + "Ġphủ": 105128, + "ĠбÑĭла": 105129, + "Ñĩива": 105130, + "Ġê°Ħ": 105131, + "олÑĸ": 105132, + "Ùĥت": 105133, + "åħ§": 105134, + "à¥Ĥà¤Ł": 105135, + "Ġëĸ": 105136, + "ĠÙĦÙĩ": 105137, + "ëłĪìĿ´": 105138, + "Ġhız": 105139, + "å¤ı": 105140, + "ĠæĬķ稿æĹ¥": 105141, + "éļ¾": 105142, + "ĵ°": 105143, + "глÑıд": 105144, + "ìn": 105145, + "ĠмеÑĢ": 105146, + "ĠãĢij": 105147, + "ĠобÑī": 105148, + "umhur": 105149, + "çł´": 105150, + "лиÑģÑĮ": 105151, + "spÄĽ": 105152, + "رÙĬÙĤ": 105153, + "ĠتÙģ": 105154, + "ĠاÙĦÙĪ": 105155, + "çµ±": 105156, + "алоÑģÑĮ": 105157, + "Ġmô": 105158, + "Ġvá»ĩ": 105159, + "Ġδι": 105160, + "Ġзн": 105161, + "ĠبØŃ": 105162, + "تÙī": 105163, + "Ġì§ģ": 105164, + "Ġvelmi": 105165, + "uyá»ħn": 105166, + "Ġphạm": 105167, + "ÑģÑĤвом": 105168, + "ĠÙĪاÙĦÙħ": 105169, + "ĠбÑĭли": 105170, + "اذ": 105171, + "ÄĽÅĻ": 105172, + "âĦĸ": 105173, + "Ġполож": 105174, + "าà¸ģาร": 105175, + "ĠÄįlán": 105176, + "ÎķΡ": 105177, + "ĠìĤ°": 105178, + "βα": 105179, + "ĠæĹ¥æľ¬": 105180, + "زد": 105181, + "ĠÙĨÛĮست": 105182, + "Ġhayat": 105183, + "確": 105184, + "à¹Ģวล": 105185, + "ĠChÃŃnh": 105186, + "ï¼Įæĺ¯": 105187, + "ĠÙĪاØŃ": 105188, + "èı¯": 105189, + "ĠήÏĦαν": 105190, + "Ġxá»Ń": 105191, + "ĠÄįerv": 105192, + "ĠÙħدÛĮر": 105193, + "éĨ": 105194, + "ĠëĪĪ": 105195, + "ç»Ń": 105196, + "Ġtên": 105197, + "ìĸ¸": 105198, + "Ġortaya": 105199, + "Ġжен": 105200, + "ĠnÆ¡i": 105201, + "еннÑĭе": 105202, + "ÑĦекÑĤив": 105203, + "íĿ¬": 105204, + "Ġkhá»ı": 105205, + "ĠÄija": 105206, + "osyal": 105207, + "à¸Ľà¸£à¸°à¹Ģà¸Ĺศ": 105208, + "Ġodst": 105209, + "Ġà¸ĸ": 105210, + "ĠοÏĢο": 105211, + "æĶ¿åºľ": 105212, + "ĠbÃłn": 105213, + "ĠGiá»": 105214, + "Ġolduk": 105215, + "ование": 105216, + "à¸Ńส": 105217, + "Ġнев": 105218, + "ÏĦÏģο": 105219, + "ĠìĨį": 105220, + "kı": 105221, + "Ġबड": 105222, + "ĠÏħÏĢ": 105223, + "ĠVý": 105224, + "ï¾Ħ": 105225, + "çŃĸ": 105226, + "εÏĨ": 105227, + "Ġåħ¨": 105228, + "ĠÙģرÙĪØ´": 105229, + "ÙĤÛĮÙĤ": 105230, + "ä¼ģä¸ļ": 105231, + "εÏį": 105232, + "èĻŁ": 105233, + "Ġayr": 105234, + "ضÙĪ": 105235, + "Å¡el": 105236, + "ĠпÑĸÑģлÑı": 105237, + "ÑĸйÑģ": 105238, + "é¢Ĩ": 105239, + "کتر": 105240, + "лÑĥб": 105241, + "è«ĸ": 105242, + "æ°¸": 105243, + "езпеÑĩ": 105244, + "Ġкам": 105245, + "عداد": 105246, + "ê±°ëŀĺ": 105247, + "ูà¸ĩ": 105248, + "ĠتÙĩراÙĨ": 105249, + "ĠëĦĪ": 105250, + "ÑĢив": 105251, + "ĠÑĤоÑĢ": 105252, + "اÙī": 105253, + "'Ñıз": 105254, + "ÙIJÙĬ": 105255, + "ĠkhÃŃ": 105256, + "ĠÑĪÑĤ": 105257, + "Ġξε": 105258, + "Ġbiri": 105259, + "èĩ´": 105260, + "Ñĥвав": 105261, + "ãģĪãĤĭ": 105262, + "ĠдиÑģ": 105263, + "аÑİÑĤ": 105264, + "صب": 105265, + "åĿĩ": 105266, + "олÑİ": 105267, + "èĭ¥": 105268, + "Ġاث": 105269, + "sou": 105270, + "åIJĥ": 105271, + "ãģ®ãģł": 105272, + "ublik": 105273, + "лей": 105274, + "Âłm": 105275, + "Ġíıīê·ł": 105276, + "ạy": 105277, + "εÏĢ": 105278, + "tık": 105279, + "Ġvyu": 105280, + "عÙĪد": 105281, + "Ġдоз": 105282, + "Ġlá»ĭch": 105283, + "質": 105284, + "à¥ģà¤Ī": 105285, + "ัà¸ŀ": 105286, + "Ġtém": 105287, + "Ġkaç": 105288, + "Ġcái": 105289, + "Ġμα": 105290, + "âĢ¦âĢ¦ãĢįĊĊ": 105291, + "íĪ¬": 105292, + "رÙĪÙĩ": 105293, + "Ġrych": 105294, + "ÎijΤ": 105295, + "ĠÑĢÑĸв": 105296, + "ë³ij": 105297, + "åģ¥": 105298, + "Ġzdrav": 105299, + "Ġعدد": 105300, + "èįī": 105301, + "δια": 105302, + "ĠváºŃn": 105303, + "ÑĭÑĤ": 105304, + "ĠколиÑĩ": 105305, + "ÏĮÏĦε": 105306, + "Ġbırak": 105307, + "ĠØŃÙħ": 105308, + "Ġchá»ĭ": 105309, + "é»Ħ": 105310, + "ĠاÙĦÙħتØŃدة": 105311, + "ืà¸Ńà¸ģ": 105312, + "Ġзали": 105313, + "Ġnhanh": 105314, + "âĢĮتÙĪاÙĨ": 105315, + "ëĿ½": 105316, + "ĠتÙĪسط": 105317, + "è¦ģæ±Ĥ": 105318, + "алÑĥ": 105319, + "ünkü": 105320, + "ãģªãĤĵ": 105321, + "ĠTrong": 105322, + "à¸Ļะ": 105323, + "åij¼": 105324, + "ĠÙĬÙħ": 105325, + "ики": 105326, + "ĠÑĤÑĥÑĤ": 105327, + "ĠyaÅŁam": 105328, + "Ġmá»įi": 105329, + "éĽĦ": 105330, + "ĠØŃض": 105331, + "ĠавÑĤом": 105332, + "Ġसबस": 105333, + "Ġyếu": 105334, + "ãĤ¹ãĤ¿": 105335, + "Ïĩή": 105336, + "ÑĸÑİ": 105337, + "èĺ": 105338, + "ิย": 105339, + "Ġmev": 105340, + "ického": 105341, + "िह": 105342, + "åŃ£": 105343, + "θή": 105344, + "Ġबढ": 105345, + "ĠاÙĦÙħس": 105346, + "ÏĦοÏħ": 105347, + "ekli": 105348, + "ĠдеÑĢев": 105349, + "å¸Ń": 105350, + "æ²Ļ": 105351, + "ãģ«ãĤĤ": 105352, + "Ġoblast": 105353, + "Ġhá»Ļ": 105354, + "Ġå¹³": 105355, + ".:.:.:.:.:.:.:.:": 105356, + "Ġéĸ": 105357, + "Ġجز": 105358, + "ĠÙĩÙħÚĨ": 105359, + "並": 105360, + "ÑĨеп": 105361, + "ाĊ": 105362, + "ä¸ŃçļĦ": 105363, + "'nın": 105364, + "ĠíķĺëĬĶ": 105365, + "ÑĶÑĹ": 105366, + "Ġبش": 105367, + "åį´": 105368, + "ä¹ł": 105369, + "ĠاطÙĦاعات": 105370, + "Ġë²ł": 105371, + "ĠکردÙĨ": 105372, + "ाड": 105373, + "Ġà¤ħर": 105374, + "ĠHá»į": 105375, + "ĠгÑĢомад": 105376, + "Ġست": 105377, + "ÏĦιÏĤ": 105378, + "Ġancak": 105379, + "Ġог": 105380, + "ĠkteÅĻÃŃ": 105381, + "Ġæ¬": 105382, + "ĠNgh": 105383, + "Ġtedy": 105384, + "ĠÏĢο": 105385, + "Ġquân": 105386, + "ĠбÑĥли": 105387, + "è¯Ĩ": 105388, + "Ġtừng": 105389, + "人çļĦ": 105390, + "ีà¸ģาร": 105391, + "ĠκαÏĦα": 105392, + "Ġpouze": 105393, + "¡ng": 105394, + "Ġآر": 105395, + "ĠÑĤÑĥ": 105396, + "Ġtá»·": 105397, + "ĠDanh": 105398, + "оном": 105399, + "Ñģий": 105400, + "Ġà¹Ģà¸Ķ": 105401, + "£¨": 105402, + "Å¡k": 105403, + "ãĥĥãĥī": 105404, + "ardır": 105405, + "Ġyönet": 105406, + "Ñĥвали": 105407, + "åħĪçĶŁ": 105408, + "ĠÐIJÑĢ": 105409, + "Ġprotože": 105410, + "Ġíģ¬": 105411, + "Ġjednot": 105412, + "Ġtý": 105413, + "éĩĩ": 105414, + "Ġหร": 105415, + "Ġåľ°": 105416, + "红": 105417, + "Ġмолод": 105418, + "iêng": 105419, + "ĠÏĮÏĦι": 105420, + "ĠداشتÙĩ": 105421, + "Ġuygun": 105422, + "ĠопеÑĢа": 105423, + "åı«": 105424, + "Ġап": 105425, + "ĠкÑĥÑĢ": 105426, + "اعة": 105427, + "unuz": 105428, + "ĠìĤ¬ì§Ħ": 105429, + "Ġvô": 105430, + "çok": 105431, + "Ġèģ": 105432, + "ÑĤеÑĢеÑģ": 105433, + "ĠاستاÙĨ": 105434, + "алаÑģÑĮ": 105435, + "à¥ģव": 105436, + "ỳ": 105437, + "ĠlÆ°u": 105438, + "ĠТа": 105439, + "Ġlá»±a": 105440, + "'ÑĶ": 105441, + "Ġüy": 105442, + "ĠÛĮÚ©ÛĮ": 105443, + "æ¾": 105444, + "нем": 105445, + "ĠخاÙĨ": 105446, + "ĠÑįлек": 105447, + "ÙĤاÙĦ": 105448, + "лок": 105449, + "ĠÄijẹp": 105450, + "à¥īल": 105451, + "Ġmůž": 105452, + "ëĭ¤ëĬĶ": 105453, + "ĠíķĺëĤĺ": 105454, + "ÙĦت": 105455, + "çİ°åľ¨": 105456, + "мо": 105457, + "ÏħÏĥ": 105458, + "ãģŁãģ¡": 105459, + "ĠìłĦìĦ¸": 105460, + "à¥įà¤Łà¤°": 105461, + "عات": 105462, + "دÙĪ": 105463, + "俺": 105464, + "楽": 105465, + "森": 105466, + "ĠлиÑģÑĤ": 105467, + "δι": 105468, + "å¯Į": 105469, + "ĠÄijÆ°a": 105470, + "веÑģÑĤи": 105471, + "до": 105472, + "аннÑĸ": 105473, + "Ġüret": 105474, + "Ġgá»įi": 105475, + "ĠÑģвоÑİ": 105476, + "ừng": 105477, + "Ġtất": 105478, + "äºļæ´²": 105479, + "áce": 105480, + "NÃį": 105481, + "ĠÑĢÑĭ": 105482, + "满": 105483, + "ÏģεÏĤ": 105484, + "åħįè´¹": 105485, + "лоÑĤ": 105486, + "æĻº": 105487, + "Ġαγ": 105488, + "Ġà¤ħम": 105489, + "Ġç´": 105490, + "одо": 105491, + "Ñħи": 105492, + "Ġnguá»ĵn": 105493, + "éĥ¨åĪĨ": 105494, + "ваÑĤ": 105495, + "ĠÑĤеб": 105496, + "заÑĨÑĸÑĹ": 105497, + "ĠÐŁÑĢо": 105498, + "عÛĮ": 105499, + "ĠÙĪÙĬ": 105500, + "ëŀľ": 105501, + "Ġneby": 105502, + "ĠجدÛĮد": 105503, + "ÄŁimiz": 105504, + "£½": 105505, + "Ġà¤Ĩत": 105506, + "Ġà¤Ńर": 105507, + "æīĺ": 105508, + "å®īåħ¨": 105509, + "Ġëĵ¤ìĸ´": 105510, + "برد": 105511, + "Ġê²ĥìĿ´": 105512, + "亲": 105513, + "æ°ı": 105514, + "алÑĸз": 105515, + "lack": 105516, + "ĠÙħختÙĦÙģ": 105517, + "اÙĨÙĬØ©": 105518, + "Ġì²Ń": 105519, + "ĠвиÑĤ": 105520, + "Ġhareket": 105521, + "é¨": 105522, + "à¸Ļำ": 105523, + "Ġبرخ": 105524, + "売": 105525, + "Ñĩай": 105526, + "Ġanlat": 105527, + "Ġà¤ħव": 105528, + "ĠاÙģز": 105529, + "Ġhết": 105530, + "ĠÚĨÙĨد": 105531, + "éĹľ": 105532, + "пÑĢиÑĶм": 105533, + "gı": 105534, + "Ġkomp": 105535, + "ĠlỼp": 105536, + "Ġmá»Ĺi": 105537, + "à¸Ľà¸£à¸°à¸ģ": 105538, + "Ġhaf": 105539, + "Ġeder": 105540, + "ĠздоÑĢов": 105541, + "à¥Ĥम": 105542, + "본": 105543, + "Ġonun": 105544, + "ĠÙħردÙħ": 105545, + "ĠÐľÐ°ÑĢ": 105546, + "Ġìĸ´ëĸ": 105547, + "ман": 105548, + "ĠÑģилÑĮ": 105549, + "網": 105550, + "ë¸Ķ": 105551, + "лÑıеÑĤ": 105552, + "ĠнеÑģколÑĮко": 105553, + "landır": 105554, + "Ġвд": 105555, + "ĠÙĨÙĪ": 105556, + "ãģİ": 105557, + "ÑĤин": 105558, + "تش": 105559, + "аний": 105560, + "ĠtÅĻ": 105561, + "ÑģиÑħ": 105562, + "лом": 105563, + "æŃ©": 105564, + "ãİ¡": 105565, + "ĠØŃر": 105566, + "æĭį": 105567, + "enou": 105568, + "Ġвели": 105569, + "Ġδη": 105570, + "ska": 105571, + "主è¦ģ": 105572, + "اÙģØ©": 105573, + "ĠболÑĮÑĪе": 105574, + "ิศ": 105575, + "çĽĬ": 105576, + "ĠÙģÙĤØ·": 105577, + "å¨ģ": 105578, + "ĠhÆ°á»Łng": 105579, + "ĠDoÄŁ": 105580, + "ĠdÃłi": 105581, + "ĠгоÑĤов": 105582, + "Ġвам": 105583, + "âĢī": 105584, + "ाà¤ļ": 105585, + "åħ¸": 105586, + "à¹ĥหà¸į": 105587, + "Ġç«": 105588, + "ektör": 105589, + "Ġвел": 105590, + "ĠÙĦÙĪ": 105591, + "شتÙĩ": 105592, + "æĺ¾": 105593, + "ảy": 105594, + "à¹Ĥม": 105595, + "Ġtá»ķng": 105596, + "ĠповеÑĢÑħ": 105597, + "ÑĹв": 105598, + "Ġphép": 105599, + "çļĩ": 105600, + "ĠпоÑĢÑıд": 105601, + "ĠÑģооÑĤвеÑĤ": 105602, + "à¤Ŀ": 105603, + "ĠÑģебÑı": 105604, + "ĠëĤł": 105605, + "ĠбÑĥла": 105606, + "à¹īาย": 105607, + "ĠãĢĢãĢĢãĢĢãĢĢ": 105608, + "ĠÙħجÙħÙĪع": 105609, + "ï¼Į以": 105610, + "ĠبÙĪدÙĩ": 105611, + "μÏĮ": 105612, + "Ġíݸ": 105613, + "eÅŁit": 105614, + "ÑİÑīие": 105615, + "ÑİÑīиÑħ": 105616, + "åŁºéĩij": 105617, + "ĠتØŃت": 105618, + "ĠвлаÑģ": 105619, + "lerle": 105620, + "ãĤ²": 105621, + "ëĬĺ": 105622, + "èĵ": 105623, + "manın": 105624, + "ìŀĪ": 105625, + "Ġzast": 105626, + "ĠÑĩеловек": 105627, + "à¥ĩब": 105628, + "peÄį": 105629, + "ĠبرÙĨاÙħÙĩ": 105630, + "Ġslov": 105631, + "ĠnÄĽjak": 105632, + "ê·ľ": 105633, + "à¥ĩह": 105634, + "èŤ": 105635, + "ĠبÛĮشتر": 105636, + "iliz": 105637, + "ĠëĶĶ": 105638, + "ازÙĩ": 105639, + "تد": 105640, + "Ġetm": 105641, + "Ġëĭ¤ë¥¸": 105642, + "Ġvů": 105643, + "å°Ħ": 105644, + "ĠклаÑģ": 105645, + "вÑĢоп": 105646, + "æ´¾": 105647, + "ĠÄijình": 105648, + "ÑĥÑİÑĤ": 105649, + "ÑĥеÑĤÑģÑı": 105650, + "éľ²": 105651, + "ĠÑģкоÑĢ": 105652, + "ĠваÑģ": 105653, + "íķĺìĺĢëĭ¤": 105654, + "Ġداشت": 105655, + "ĠçĦ": 105656, + "Ġ西": 105657, + "ĠκαÏĦά": 105658, + "०": 105659, + "ìĹĨ": 105660, + "ĠخدÙħ": 105661, + "اسÙħ": 105662, + "ÎijΡ": 105663, + "ĠAma": 105664, + "奥": 105665, + "Ġبزرگ": 105666, + "ĠÐĴÑĸн": 105667, + "ĠÅĺ": 105668, + "Ġà¸Īาà¸ģ": 105669, + "ĠÑħаÑĢакÑĤеÑĢ": 105670, + "ĠÄijá»Ļi": 105671, + "ĠÑĢозвиÑĤ": 105672, + "ĠпÑĢоÑĦеÑģ": 105673, + "ĠконÑĤÑĢ": 105674, + "ÎŁÎĽ": 105675, + "Ġminh": 105676, + "ä¼ij": 105677, + "쪽": 105678, + "ĠchÆ¡i": 105679, + "заÑĨии": 105680, + "ĠдÑĸÑıлÑĮ": 105681, + "ëĨ": 105682, + "Ġngay": 105683, + "à¥Ĥà¤Ĥ": 105684, + "Ġihtiy": 105685, + "éĽª": 105686, + "Ġê´Ģ리ìŀIJ": 105687, + "Ġcụ": 105688, + "Ġì§Ī": 105689, + "ÙĬØ«": 105690, + "ặp": 105691, + "ÙĪاع": 105692, + "ãģĤãģ£ãģŁ": 105693, + "Ġçľ": 105694, + "Ġìļ°ë¦¬": 105695, + "à¹Īà¸ĩà¸Ĥ": 105696, + "ĠçŃ": 105697, + ")ØĮ": 105698, + "Ãłm": 105699, + "ÙĦÛĮÙĦ": 105700, + "Ġ걸": 105701, + "алÑĮниÑħ": 105702, + "æŶåĢĻ": 105703, + "undan": 105704, + "ĠGün": 105705, + "Ġtopl": 105706, + "ĠÑĢекомен": 105707, + "ĠاÙĨتخاب": 105708, + "Ãłu": 105709, + "Äįka": 105710, + "ë°Ģ": 105711, + "ĠкÑĢаÑģ": 105712, + "лоп": 105713, + "å¼µ": 105714, + "ĠاÙĦÙħع": 105715, + "mÃŃn": 105716, + "Ġviết": 105717, + "Ġê°ĻìĿĢ": 105718, + "uteÄį": 105719, + "Ġnech": 105720, + "çµĤ": 105721, + "ãģªãģĮ": 105722, + "ayın": 105723, + "ĠÄįin": 105724, + "cházÃŃ": 105725, + "اÙģظ": 105726, + "ÑĢоваÑĤÑĮ": 105727, + "à¹Ħร": 105728, + "ĠãĤ¤": 105729, + "Ġзаболева": 105730, + "Ġå±±": 105731, + "Ġkadın": 105732, + "ÏĦηÏĤ": 105733, + "алиÑģÑĮ": 105734, + "Ġhük": 105735, + "åĵ¥": 105736, + "ĠпеÑĢи": 105737, + "ÅĻád": 105738, + "Ġà¤ħस": 105739, + "ĠÑģÑĤвоÑĢ": 105740, + "ĠÙĪÛĮÚ©ÛĮ": 105741, + "Ġì¡": 105742, + "Ġcá»Ńa": 105743, + "Ġhiá»ĥu": 105744, + "游æĪı": 105745, + "ÑĮомÑĥ": 105746, + "Ġgó": 105747, + "Ġtoh": 105748, + "Ġбла": 105749, + "Ġåij": 105750, + "Ġпло": 105751, + "иÑĪ": 105752, + "ĠÄijấu": 105753, + "skou": 105754, + "ãĤĪãĤĬ": 105755, + "à¸¹à¸Ľ": 105756, + "Ġrá»ĵi": 105757, + "опÑĢоÑģ": 105758, + "нолог": 105759, + "ĠÑĤÑĢав": 105760, + "ĠWayback": 105761, + "Ġà¹Ĩ": 105762, + "ĠÑĥÑĩаÑģÑĤ": 105763, + "ĠпÑĢепаÑĢа": 105764, + "Ġdạng": 105765, + "ĠÃľn": 105766, + "à¹Ħลà¸Ļ": 105767, + "Ġداخ": 105768, + "ĠsÆ¡": 105769, + "Ġkoy": 105770, + "ëĿ¼ê³ł": 105771, + "ĠÄijúng": 105772, + "à¥ĩà¤Ĥ,": 105773, + "Ġgeçir": 105774, + "ĠÑıкÑīо": 105775, + "ÑģÑĤÑĢо": 105776, + "енÑĤов": 105777, + "Ñĸж": 105778, + "кÑĥÑİ": 105779, + "ĠeÄŁitim": 105780, + "à¥įरस": 105781, + "ĠСп": 105782, + "اتÛĮ": 105783, + "ãģijãĤĭ": 105784, + "ÏĦÏīν": 105785, + "Ġкм": 105786, + "âĸįâĸįâĸįâĸį": 105787, + "jist": 105788, + "ÑĤак": 105789, + "ĠåIJįåīį": 105790, + "é¡Ķ": 105791, + "лÑĭ": 105792, + "Ġkhảo": 105793, + "âĢĻÑı": 105794, + "ĠÙħÙĦÛĮ": 105795, + "lož": 105796, + "Ġìĸ¸": 105797, + "Ġgần": 105798, + "Ġà¤ľà¤°": 105799, + "बर": 105800, + "ÎķΣ": 105801, + "à¸²à¸Ľ": 105802, + "Ġnás": 105803, + "formace": 105804, + "Ġetmek": 105805, + "веÑģÑĤ": 105806, + "ìĸ´ìļĶ": 105807, + "Ġतथ": 105808, + "ĠÑģек": 105809, + "ξη": 105810, + "æ¯Ľ": 105811, + "Bir": 105812, + "ĠìŀĦ": 105813, + "Ġvardır": 105814, + "ÙĪاÙĦ": 105815, + "Ä°R": 105816, + "ované": 105817, + "наÑĢод": 105818, + "à¸Ħำ": 105819, + "emek": 105820, + "ĠÎķÏĢ": 105821, + "ĠÅĻe": 105822, + "ãģ¾ãģĽ": 105823, + "uyá»ĩt": 105824, + "Ġìĸ¼": 105825, + "rů": 105826, + "Ġonu": 105827, + "à¹Ģà¸ķà¸Ńร": 105828, + "одаÑĢ": 105829, + "زÙĩ": 105830, + "Ġkav": 105831, + "онÑĭ": 105832, + "ĠвеÑģ": 105833, + "ìĤ¬ì§Ģ": 105834, + "Ġгла": 105835, + "ÃĿ": 105836, + "ĠÙĤÛĮÙħت": 105837, + "çķ¥": 105838, + "à¸ĸาà¸Ļ": 105839, + "Äįil": 105840, + "Ġä¸ĩ": 105841, + "è¾ĥ": 105842, + "åħħ": 105843, + "ĠÑĢед": 105844, + "มห": 105845, + "amilia": 105846, + "à¥ĩà¤ķर": 105847, + "Ġtá»iji": 105848, + "ÙģÛĮ": 105849, + "ÑĢÑĸÑĪ": 105850, + "ìķł": 105851, + "à¸Ļส": 105852, + "à¸Īร": 105853, + "à¥ĩशन": 105854, + "ĠÙħÙĪضÙĪع": 105855, + "æī¹": 105856, + "Ġobsah": 105857, + "ĠнавÑĩ": 105858, + "Ġdestek": 105859, + "Ġzas": 105860, + "åĵį": 105861, + "ümüz": 105862, + "ĠçŁ": 105863, + "Ġè¨": 105864, + "Ù¬": 105865, + "ç»Ī": 105866, + "Ġzde": 105867, + "Ġzáp": 105868, + "à¥Ĥसर": 105869, + "ìĿ´ì§Ģ": 105870, + "çļ®": 105871, + "lom": 105872, + "१": 105873, + "ÙĦاÙĤ": 105874, + "à¸Ļà¸ķ": 105875, + "íĮħ": 105876, + "лада": 105877, + "masına": 105878, + "ãģ®ãģ§": 105879, + "ëĵ¤ìĿĦ": 105880, + "Ġнаг": 105881, + "masını": 105882, + "ãĤĿ": 105883, + "ınıf": 105884, + "åĽ´": 105885, + "Ġbölüm": 105886, + "å¥ĸ": 105887, + "æ¨Ļ": 105888, + "ÙĦاØŃ": 105889, + "ĠгоÑģÑĥдаÑĢ": 105890, + "داÙĨÙĦÙĪد": 105891, + "ĠпоÑĤÑĢеб": 105892, + "ĠÑĢоÑĨÑĸ": 105893, + "ога": 105894, + "ĠÑģледÑĥеÑĤ": 105895, + "ĠпаÑĢа": 105896, + "é¼": 105897, + "ãģįãģŁ": 105898, + "ίζ": 105899, + "Ġbá»ij": 105900, + "ÑĤÑĸв": 105901, + "ï¼Į她": 105902, + "familia": 105903, + "éłħ": 105904, + "ĠدÙĦ": 105905, + "Ġskup": 105906, + "еÑĩение": 105907, + "ãģĵãģ¨ãģĮ": 105908, + "à¥Ģब": 105909, + "ุล": 105910, + "¨ë¶Ģ": 105911, + "ĠاÙĦعرب": 105912, + "Ġç¾İ": 105913, + "ĠاÙĦÙħÙĪ": 105914, + "ĠØ¥ÙĨ": 105915, + "Ġnásled": 105916, + "Ġtomu": 105917, + "ÎĦ": 105918, + "Ġзави": 105919, + "Ġnhu": 105920, + "ĠpÅĻedstav": 105921, + "ìłķë³´": 105922, + "okol": 105923, + "ĠкÑĢи": 105924, + "adu": 105925, + "ĠкаÑĤ": 105926, + "ĠÑįÑĦ": 105927, + "вал": 105928, + "mayı": 105929, + "ĠÑĩаÑģÑĤо": 105930, + "Ġtranh": 105931, + "ائÙĦ": 105932, + "ãĤĪãģĨãģª": 105933, + "Ġpoh": 105934, + "ìĥģìľĦ": 105935, + "Ġsắc": 105936, + "Ùĥس": 105937, + "ĠмÑĥ": 105938, + ".::": 105939, + "ëĪ": 105940, + "»Ċ": 105941, + "ĠÙĨÚ¯": 105942, + "ÙIJÙĨ": 105943, + "ником": 105944, + "Ñħа": 105945, + "ĠμοÏħ": 105946, + "ĠNguyá»ħn": 105947, + "ĠвÑĭÑģок": 105948, + "ĠÐŁÐ¾Ð´": 105949, + "ĠпÑĢиÑĢод": 105950, + "à¥ĭध": 105951, + "िà¤ķल": 105952, + "иÑĢа": 105953, + "ëĭ¤ê³ł": 105954, + "ĠmajÃŃ": 105955, + "Ġvùng": 105956, + "Ġtarihinde": 105957, + "ĠваÑĢ": 105958, + "ниÑĤÑĮ": 105959, + "ειÏĤ": 105960, + "Ġåĩº": 105961, + "dyž": 105962, + "ÏĦÏİν": 105963, + "ä½ĵèĤ²": 105964, + "Ġà¹Ģว": 105965, + "Ġà¤ħà¤ļ": 105966, + "ĠاÙĨÚ¯ÙĦÛĮسÛĮ": 105967, + "à¥įयम": 105968, + "ĠgeliÅŁ": 105969, + "æ¹ĸ": 105970, + "Ġاک": 105971, + "Ġплан": 105972, + "kyt": 105973, + "ابÛĮ": 105974, + "κι": 105975, + "Ġchung": 105976, + "ानà¤ķ": 105977, + "sı": 105978, + "Ġtinh": 105979, + "ĠÑģÑĤол": 105980, + "ÑģÑĤÑĢÑĥ": 105981, + "ĠлиÑĪе": 105982, + "ĠвиÑĢоб": 105983, + "ilmiÅŁ": 105984, + "ĠзÑĸ": 105985, + "ç»Ĩ": 105986, + "åĢĴ": 105987, + "ãĤ·ãĥ£": 105988, + "åŃ©": 105989, + "Ġà¹Ĥรà¸ĩà¹Ģร": 105990, + "íĻľ": 105991, + "ĠбÑĥде": 105992, + "ĠyaklaÅŁ": 105993, + "èĩªåĪĨ": 105994, + "ĠÙģÙĪ": 105995, + "СТ": 105996, + "Ġsorun": 105997, + "à¹Ģà¸ł": 105998, + "Ġcô": 105999, + "виÑĩ": 106000, + "ëĵ¤ìĿĺ": 106001, + "Ġtriá»ĩu": 106002, + "Ġrõ": 106003, + "Ġãģ«": 106004, + "ÄŁim": 106005, + "iyoruz": 106006, + "èľ": 106007, + "à¥įरव": 106008, + "Ġسپ": 106009, + "ĠìĦľìļ¸": 106010, + "δε": 106011, + "еÑĢÑĪ": 106012, + "Ġأس": 106013, + "äºŀ": 106014, + "è¯į": 106015, + "пÑĤом": 106016, + "ฤษ": 106017, + "ĠسازÙħاÙĨ": 106018, + "Ġluôn": 106019, + "ÙĩÙĪر": 106020, + "cü": 106021, + "аÑĤкÑĥ": 106022, + "Ġolabilir": 106023, + "ĠìĹ°êµ¬": 106024, + "енной": 106025, + "ĠæĪij": 106026, + "Ġнего": 106027, + "Ġ.**************": 106028, + "ิà¸ĺ": 106029, + "ĠãĤ·": 106030, + "تÙģ": 106031, + "ÐŁÑĢо": 106032, + "Ġhakkında": 106033, + "ÄįnÄĽ": 106034, + "ĠMỹ": 106035, + "é½": 106036, + "ĠÏĥÏĦον": 106037, + "Ġâm": 106038, + "§ظ": 106039, + "ĠÅŁirket": 106040, + "æĥħåĨµ": 106041, + "ĠØ¢ÙħÙĪزش": 106042, + "λεÏħ": 106043, + "ÙħÙĩ": 106044, + "è¦ı": 106045, + "ãģ¨æĢĿ": 106046, + "ĠÙĪع": 106047, + "ÏĪη": 106048, + "ÏģοÏį": 106049, + "ĠÂłĊ": 106050, + "δη": 106051, + "ÑĪов": 106052, + "åĪ¤": 106053, + "Ġmắt": 106054, + "æĭ¿": 106055, + "à¸Ļà¸Ķ": 106056, + "éĻĦ": 106057, + "à¹īม": 106058, + "ĠÄijạt": 106059, + "Ġgüzel": 106060, + "mÃ¼ÅŁ": 106061, + "ÐŀÐĴ": 106062, + "çĭ¬": 106063, + "리를": 106064, + "ĠплаÑĤ": 106065, + "Ġnghá»ĭ": 106066, + "ĠÑĤакиÑħ": 106067, + "биÑĢа": 106068, + "Ġнек": 106069, + "ÑģÑĮкÑĸ": 106070, + "رÙĬاض": 106071, + "onu": 106072, + "à¥ĭम": 106073, + "ĠGiỼi": 106074, + "èŀį": 106075, + "é²": 106076, + "ĠGenel": 106077, + "åĬ¿": 106078, + "ĠвÑĸ": 106079, + "å§IJ": 106080, + "試": 106081, + "ĠжиÑĤÑĤÑı": 106082, + "Ġìĺ¨": 106083, + "åĩºæĿ¥": 106084, + "Ġtá»ij": 106085, + "Ġlao": 106086, + "ίο": 106087, + "Ġγα": 106088, + "ниÑĤелÑĮ": 106089, + "éļİ": 106090, + "Ġвикон": 106091, + "ĠÙģعاÙĦ": 106092, + "à¹Ģศ": 106093, + "ÏĮγ": 106094, + "ĠоÑĢганиз": 106095, + "ĠемÑĥ": 106096, + "ĠÙĬع": 106097, + "ĠÙħب": 106098, + "ालय": 106099, + "ĠÎľÏĢ": 106100, + "é¸": 106101, + "ùa": 106102, + "길": 106103, + "ĠÄIJiá»ģu": 106104, + "είο": 106105, + "äºī": 106106, + "ượt": 106107, + "ÑĢазÑĥ": 106108, + "ĠоÑĤÑĢим": 106109, + "Ġطب": 106110, + "Ġ以": 106111, + "æĸĹ": 106112, + "ë°±": 106113, + "à¤ĩस": 106114, + "ë§ĮìĽIJ": 106115, + "ãĢģãģĿãģ®": 106116, + "ĠëķĮ문": 106117, + "ĠØ¢ÛĮ": 106118, + "Ð¡Ðł": 106119, + "ضÙĦ": 106120, + "æĵį": 106121, + "kazy": 106122, + "สว": 106123, + "âng": 106124, + "à¤Ĥà¤Ń": 106125, + "нÑĸÑĩ": 106126, + "ัà¸ĩà¸ģ": 106127, + "ĠبررسÛĮ": 106128, + "ردÙĩ": 106129, + "Ġmẫu": 106130, + "à¹Īวà¸ĩ": 106131, + "ĠداÙĨشگاÙĩ": 106132, + "dıģ": 106133, + "ĠTá»ķng": 106134, + "第äºĮ": 106135, + "cÃŃm": 106136, + "Ġböyle": 106137, + "ë¶Ī": 106138, + "ĠÙħÙĨابع": 106139, + "à¥ĥष": 106140, + "еÑĤÑĭ": 106141, + "åĨ·": 106142, + "åĽŃ": 106143, + "ĠتÙĪجÙĩ": 106144, + "åĪ»": 106145, + "æŀģ": 106146, + "à¤Łà¤¨": 106147, + "лан": 106148, + "ĠíĥĢ": 106149, + "ä½IJ": 106150, + "ĠобÑĭ": 106151, + "å¸Ŀ": 106152, + "커": 106153, + "å®Ī": 106154, + "èµ·æĿ¥": 106155, + "Ġãĥ¬": 106156, + "çİī": 106157, + "à¹Ģหล": 106158, + "ине": 106159, + "หาร": 106160, + "éļı": 106161, + "Ġгаз": 106162, + "ĠاÙĦعÙħÙĦ": 106163, + "à¥ģà¤Ŀ": 106164, + "Ïģιο": 106165, + "Ġvám": 106166, + "ĠعÙĨد": 106167, + "ÙĨدگاÙĨ": 106168, + "ï¼ĮéĤ£": 106169, + "ĠнаÑħод": 106170, + "áno": 106171, + "ÛĮاÙĨ": 106172, + "Ġأع": 106173, + "ĠÑĢади": 106174, + "Ġмене": 106175, + "Ġúda": 106176, + "Ïĩν": 106177, + "ÑĥлÑıÑĢ": 106178, + "à¥Ģप": 106179, + "ĠpoužÃŃ": 106180, + "Ġä¸": 106181, + "ĠÙĤاÙĨÙĪÙĨ": 106182, + "ικοÏį": 106183, + "áy": 106184, + "Ġçöz": 106185, + "ÏĦÏģ": 106186, + "ÙĨاÙħ": 106187, + "ุà¸ķ": 106188, + "åĵª": 106189, + "ÙĬب": 106190, + "ä¹°": 106191, + "ÐĶлÑı": 106192, + "ĠëłĪ벨": 106193, + "ุà¸ļ": 106194, + "нÑĥÑĤи": 106195, + "è½»": 106196, + "Ġξα": 106197, + "Ġè¦": 106198, + "аÑĤков": 106199, + "ĠëĪĦ": 106200, + "Ġtuyá»ĥn": 106201, + "ÙİÙħ": 106202, + "ĠвÑĭпол": 106203, + "Ġstudi": 106204, + "ĠpÅĻek": 106205, + "Ġзам": 106206, + "Ġmateri": 106207, + "åİĭ": 106208, + "Ġал": 106209, + "Ġà¸ļร": 106210, + "Ø·ØŃ": 106211, + "ĠÙħرک": 106212, + "Ġìĭ¬": 106213, + "ĠÙĤابÙĦ": 106214, + "ĠÐIJле": 106215, + "ıntı": 106216, + "Ġå»": 106217, + "Ä°K": 106218, + "ëħĦëıĦ": 106219, + "ÑĭваÑĤÑĮ": 106220, + "Ġdevlet": 106221, + "社ä¼ļ": 106222, + "ëĤł": 106223, + "Ġkolay": 106224, + "ĠÑĢазвиÑĤи": 106225, + "ади": 106226, + "ئÙĬس": 106227, + "adıģı": 106228, + "ÎijÎĽ": 106229, + "Ġhoa": 106230, + "Ġศ": 106231, + "Ä±ÅŁtır": 106232, + "ÑĢÑİ": 106233, + "ĠкаÑĩе": 106234, + "¼åIJĪ": 106235, + "åħ´": 106236, + "Ġê·¸ëŁ¬": 106237, + "ĠмÑĸÑģÑĤ": 106238, + "Ġмне": 106239, + "ãĥ¼ãĤº": 106240, + "ç§Ģ": 106241, + "ĠعÙĦÙĬÙĩ": 106242, + "Ġìĭľê°Ħ": 106243, + "Ġà¤ĺर": 106244, + "ĠÑĥг": 106245, + "åıijå±ķ": 106246, + "Ä±ÅŁÄ±": 106247, + "ĠìĪľ": 106248, + "ĠíĻľ": 106249, + "æ¡£": 106250, + "Ġnokt": 106251, + "lém": 106252, + "еннÑĭй": 106253, + "ĠبÙħ": 106254, + "à¥ĩय": 106255, + "одав": 106256, + "à¹Ĥร": 106257, + "ï¼Įæľī": 106258, + "اÙĬات": 106259, + "اÛĮÙĩ": 106260, + "Ġà¤īपय": 106261, + "ĠsmÄĽ": 106262, + "شد": 106263, + "ШÐIJ": 106264, + "ĠاÙħاÙħ": 106265, + "æ¿Ģ": 106266, + "Ġhoạch": 106267, + "обÑĢаз": 106268, + "à¥ĭह": 106269, + "ĠÑĢебен": 106270, + "иÑĤелÑı": 106271, + "ãģªãģĮãĤī": 106272, + "ساÙĦ": 106273, + "Ġà¸Īำ": 106274, + "Ġخاص": 106275, + "Ġgeri": 106276, + "à¤ĺ": 106277, + "Ġìº": 106278, + "à¹ģà¸Ĺ": 106279, + "âĢĮÛĮ": 106280, + "گرÛĮ": 106281, + "اÙħبر": 106282, + "ÑĪÑĥ": 106283, + "Ġphong": 106284, + "имо": 106285, + "па": 106286, + "Ġìµľê³ł": 106287, + "Ġнам": 106288, + "ostÃŃ": 106289, + "isini": 106290, + "ĠдÑĥже": 106291, + "Ñģком": 106292, + "ĠпÑĢодÑĥк": 106293, + "ÏĮÏĦηÏĦα": 106294, + "aln": 106295, + "isine": 106296, + "è¿ľ": 106297, + "алÑĮной": 106298, + "तर": 106299, + "tıģ": 106300, + "ĠëĴ": 106301, + "è¿ĺæĺ¯": 106302, + "ĠÙħØ«ÙĦ": 106303, + "ìľ¨": 106304, + "ï¾ĺ": 106305, + "åĪ¸": 106306, + "ç¶ļ": 106307, + "جاد": 106308, + "ĠкÑĥ": 106309, + "åĢij": 106310, + "ovu": 106311, + "ĠsÄ©": 106312, + "ĠìłIJ": 106313, + "ĠÑĥÑĢов": 106314, + "िà¤ļ": 106315, + "ovali": 106316, + "ĠÙĪÙĨ": 106317, + "ĠìĿĮ": 106318, + "Ġкг": 106319, + "าà¸ĺ": 106320, + "ÏĦÏģα": 106321, + "ždy": 106322, + "à¹Įà¸ķ": 106323, + "ĠnÄĽm": 106324, + "ĠЦе": 106325, + "noho": 106326, + "Ġëĭ¤ìĭľ": 106327, + "Ġtéto": 106328, + "Ġbiá»ĥu": 106329, + "ĠYön": 106330, + "Ġpráce": 106331, + "à¥īर": 106332, + "ĠchÃŃ": 106333, + "овой": 106334, + "Ġmợ": 106335, + "說": 106336, + "ÏİÏĤ": 106337, + "волÑı": 106338, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 106339, + "實": 106340, + "é»ŀ": 106341, + "Ġà¤ıव": 106342, + "Ïħνα": 106343, + "岡": 106344, + "không": 106345, + "ĠpÅĻÃŃpadÄĽ": 106346, + "åĹ": 106347, + "ĠبدÙĪÙĨ": 106348, + "Ïĥκε": 106349, + "Ġdikkat": 106350, + "ĠAncak": 106351, + "Ġtiá»ĩn": 106352, + "éĿĻ": 106353, + "ĠìĿ¼ë°ĺ": 106354, + "ĠÄįlen": 106355, + "ìķħ": 106356, + "ाà¤ĩन": 106357, + "ãģ£ãģ¦ãģĦãģŁ": 106358, + "ĠìĿ´ìļ©": 106359, + "ÙĪÙħÛĮ": 106360, + "iná": 106361, + "ặng": 106362, + "ÏİÏģα": 106363, + "ÙĨÙĬØ©": 106364, + "важ": 106365, + "èİ·": 106366, + "å©ļ": 106367, + "ĠÅŁu": 106368, + "ĠãģĬ": 106369, + "Ġدرب": 106370, + "Ġdiá»ħn": 106371, + "ÅĻeba": 106372, + "asının": 106373, + "ç½ijç«Ļ": 106374, + "нÑĮого": 106375, + "ĠاÙĦØ£ÙĪÙĦ": 106376, + "ικÎŃÏĤ": 106377, + "ĠzÃŃsk": 106378, + "оло": 106379, + "ĠÑįÑĤоÑĤ": 106380, + "Ġpokud": 106381, + "è²»": 106382, + "еÑĢÑĸв": 106383, + "ãĥķãĤ£": 106384, + "иÑĤÑĥа": 106385, + "Ġvyd": 106386, + "олож": 106387, + "лÑıÑĤÑĮ": 106388, + "ÙĤÙħ": 106389, + "æ´ĭ": 106390, + "æ§ĭ": 106391, + "ĠغÛĮر": 106392, + "ĠstÅĻed": 106393, + "ظر": 106394, + "Ġhiçbir": 106395, + "θεί": 106396, + "znik": 106397, + "дÑĭ": 106398, + "luv": 106399, + "ĠÙħؤ": 106400, + "ĠگرÙĪÙĩ": 106401, + "Ġï¼īĊ": 106402, + "teri": 106403, + "ĠÏħÏĢο": 106404, + "voj": 106405, + "Ġبعض": 106406, + "Ġbilin": 106407, + "ĠرÙĪØ´": 106408, + "ĠобÑıз": 106409, + "Ġï»": 106410, + "سÙĨ": 106411, + "ĠÏĢα": 106412, + "íį¼": 106413, + "ĠtÃŃn": 106414, + "Ġ´": 106415, + "ìĤ¬ìĿ´íĬ¸": 106416, + "Ġpodob": 106417, + "Ñīее": 106418, + "ĠåįĹ": 106419, + "Ġbych": 106420, + "ози": 106421, + "ĠVÄĥn": 106422, + "ØŃÙĩ": 106423, + "åѦéĻ¢": 106424, + "ĠÅĻekl": 106425, + "립ëĭĪëĭ¤": 106426, + "ĠпÑĢоÑģ": 106427, + "κά": 106428, + "ĠbaÅŁladı": 106429, + "ủy": 106430, + "Ñİдж": 106431, + "ाà¤ıà¤Ĺ": 106432, + "à¤Ĥà¤ļ": 106433, + "Ġê´Ģ볨": 106434, + "ĠвопÑĢоÑģ": 106435, + "ĠÑģÑĤаÑĤÑĮ": 106436, + "Ġyatırım": 106437, + "нÑĥла": 106438, + "راÙģ": 106439, + "ĠçeÅŁit": 106440, + "Ġà¤īद": 106441, + "央": 106442, + "ĠпоÑıв": 106443, + "åĽ½å®¶": 106444, + "ĠÑģооÑĤвеÑĤÑģÑĤв": 106445, + "ìķ¡": 106446, + "ĠØ®ÙĪاÙĩد": 106447, + "Å¡Å¡ÃŃ": 106448, + "ÂłÐ¿": 106449, + "ĠNhÃł": 106450, + "''''": 106451, + "ｨ": 106452, + "Ãħ": 106453, + "Ġïº": 106454, + "ĠØ¢ÙħرÛĮÚ©": 106455, + "larımız": 106456, + "جا": 106457, + "ÙģÙĤ": 106458, + "Ġá»": 106459, + "Ġìķł": 106460, + "ĠزباÙĨ": 106461, + "ĠÑĤвоÑĢ": 106462, + "ниÑĩеÑģ": 106463, + "Ġкни": 106464, + "خداÙħ": 106465, + "à¸Łà¸£": 106466, + "Ġì¹ĺ": 106467, + "วาม": 106468, + "ĠÙħÙĩÙħ": 106469, + "Ġstol": 106470, + "Ġedilen": 106471, + "Ġpek": 106472, + "اÙĨات": 106473, + "алÑĮнÑĸ": 106474, + "ĠнеобÑħÑĸд": 106475, + "à¹Ħว": 106476, + "Ġशर": 106477, + "ĠíĮIJ": 106478, + "Òij": 106479, + "Ġним": 106480, + "Ġà¸ĺ": 106481, + "æĺł": 106482, + "äºĴ": 106483, + "ĠbaÅŁar": 106484, + "ži": 106485, + "Ġмног": 106486, + "lendi": 106487, + "ávajÃŃ": 106488, + "nict": 106489, + "ĠдÑĥм": 106490, + "éĻ©": 106491, + "ÏĥÏĥ": 106492, + "iky": 106493, + "алÑĮнÑĭй": 106494, + "ĠÙħÙĨت": 106495, + "å®®": 106496, + "-за": 106497, + "еÑĢк": 106498, + "å¡Ķ": 106499, + "ĠμεÏĦα": 106500, + "oÄŁun": 106501, + "ÎĹÎľ": 106502, + "à¥Īà¤Ĥ।Ċ": 106503, + "Äįky": 106504, + "å¹³åı°": 106505, + "à¥ĭश": 106506, + "Ġona": 106507, + "Ġbec": 106508, + "ì¢": 106509, + "Ġcây": 106510, + "kün": 106511, + "Ġà¤Ī": 106512, + "Ġrá»Ļng": 106513, + "еÑĢб": 106514, + "幸": 106515, + "ï¾IJ": 106516, + "ĠпÑĸдпÑĢиÑĶм": 106517, + "çĶ£": 106518, + "ĠÏĦε": 106519, + "ĠÙĨÙĤØ´": 106520, + "овиÑħ": 106521, + "ĠÙģÙī": 106522, + "Ðļак": 106523, + "Ùİر": 106524, + "ĠЩ": 106525, + "алÑĮнÑĭÑħ": 106526, + "Ġküçük": 106527, + "èŃ·": 106528, + "æĭħ": 106529, + "icaret": 106530, + "ĠرÙģت": 106531, + "Ġодного": 106532, + "ÑĪим": 106533, + "ĠбÑĸ": 106534, + "Ġuygulam": 106535, + "Ġæĭ": 106536, + "ä½Ľ": 106537, + "ucu": 106538, + "dÃŃ": 106539, + "Åĺ": 106540, + "ئة": 106541, + "걸": 106542, + "ÙĮ": 106543, + "ĠÎłÏģο": 106544, + "Ġyerine": 106545, + "ĠÑĸнÑĦоÑĢма": 106546, + "Ġå¤ĸ": 106547, + "ä»ķ": 106548, + "нав": 106549, + "arası": 106550, + "à¸Ńà¸Ļà¹Ħลà¸Ļ": 106551, + "اشت": 106552, + "زÙĬ": 106553, + "æ©ĭ": 106554, + "ĠãĤ«": 106555, + "èĥ½åĬĽ": 106556, + "å¥Ĺ": 106557, + "Ġproh": 106558, + "ĠпÑĢава": 106559, + "Ỽp": 106560, + "Ġà¸Ĥà¸Ńà¸ĩ": 106561, + "Ġë´": 106562, + "Ġlúc": 106563, + "Ġéķ": 106564, + "بÙĪد": 106565, + "rupa": 106566, + "ازÙħ": 106567, + "Ġкан": 106568, + "ılım": 106569, + "ĠÙĩد": 106570, + "ãĢĢĠãĢĢĠãĢĢ": 106571, + "ÑĭваеÑĤ": 106572, + "خاÙĨÙĩ": 106573, + "ÑĥкÑĤ": 106574, + "ĠçĻ¾åº¦": 106575, + "ĠnÄĽco": 106576, + "емон": 106577, + "Ġà¤ħप": 106578, + "ĠÎĮ": 106579, + "ünün": 106580, + "æĸĩåĮĸ": 106581, + "ä¹İ": 106582, + "ä¸ĬçļĦ": 106583, + "ÙĦÙĬÙħ": 106584, + "ĠtÄĽch": 106585, + "اسب": 106586, + "âĢĻÑĶ": 106587, + "ĠÚ¯ÛĮ": 106588, + "Ġê·¼": 106589, + "Ġtrẻ": 106590, + "μÎŃνο": 106591, + "ãģĵãģ¨ãĤĴ": 106592, + "ìĿ´ëĤĺ": 106593, + "åĸĦ": 106594, + "Ġtrả": 106595, + "åĪĨæŀIJ": 106596, + "ĠdÄĽl": 106597, + "ÑĥÑģка": 106598, + "Ġмного": 106599, + "à¥Īर": 106600, + "μαÏĦοÏĤ": 106601, + "ĠmÃŃsto": 106602, + "Ġê°ģ": 106603, + "ĠпÑĢог": 106604, + "baÅŁ": 106605, + "айÑĤе": 106606, + "Ġcá»ķ": 106607, + "å¿ľ": 106608, + "ï¼ģĊ": 106609, + "çı": 106610, + "Ġbirçok": 106611, + "Ġíĺķ": 106612, + "çµĮ": 106613, + "ĠEvrop": 106614, + "ĠÑģоÑĨÑĸ": 106615, + "ä»ĸçļĦ": 106616, + "ĠμÏĢο": 106617, + "å¥Ī": 106618, + "ĠÚ¯ÙĦ": 106619, + "ÙĪÙĦØ©": 106620, + "æµİ": 106621, + "ĠÚ©ÙĪ": 106622, + "±ä¹IJ": 106623, + "ãģĹãģı": 106624, + "纳": 106625, + "ÑģÑĤвенно": 106626, + "éĽ¢": 106627, + "ा.": 106628, + "ĠgerçekleÅŁtir": 106629, + "Ġkır": 106630, + "ì³": 106631, + "ĠгоÑģп": 106632, + "å¹ķ": 106633, + "ìĦ¼": 106634, + "».Ċ": 106635, + "кÑĥÑĢ": 106636, + "ĠرÛĮ": 106637, + "æĽ¾": 106638, + "ÙĪرÙĬ": 106639, + "лекÑģанд": 106640, + "صÙģ": 106641, + "Ġcảnh": 106642, + "å±Ĥ": 106643, + "ãĤĨ": 106644, + "Ġتس": 106645, + "ì°½": 106646, + "기를": 106647, + "Ġà¹Ģà¸Ħ": 106648, + "çŁŃ": 106649, + "ĠÑģÑĤÑĢо": 106650, + "ĠÏĥÏĦιÏĤ": 106651, + "à¥įयव": 106652, + "ĠعÙĦÙħ": 106653, + "ĠÑģиÑĤÑĥа": 106654, + "ĠÑīодо": 106655, + "åIJĽ": 106656, + "Ùħس": 106657, + "ĠоÑĤкÑĢÑĭ": 106658, + "Ġspoj": 106659, + "ĠÄijÄĥng": 106660, + "ĠsavaÅŁ": 106661, + "ีร": 106662, + "ském": 106663, + "Ġè¡Į": 106664, + "é¹": 106665, + "ĠÙĬÙħÙĥÙĨ": 106666, + "овано": 106667, + "ĠпÑĢавилÑĮ": 106668, + "Ġchiếc": 106669, + "èĪ¹": 106670, + "éĵ¶": 106671, + "ĠоÑĤд": 106672, + "ĠìĿĢ": 106673, + "íħĶ": 106674, + "ĠNej": 106675, + "оне": 106676, + "Ġkız": 106677, + "ологиÑĩеÑģ": 106678, + "ĠкÑĢаÑĹ": 106679, + "à¸ļà¸Ńล": 106680, + "楼": 106681, + "ĠتÙħاÙħ": 106682, + "ĠبÛĮÙħ": 106683, + "ĠÑģÑĥб": 106684, + "vý": 106685, + "Ñģкие": 106686, + "ëĮĢë¡ľ": 106687, + "????????": 106688, + "abilirsiniz": 106689, + "анÑģов": 106690, + "代表": 106691, + "Ġ매매": 106692, + "ологÑĸÑĩ": 106693, + "μαν": 106694, + "акÑģим": 106695, + "ãĤ¤ãĥ«": 106696, + "Ġtải": 106697, + "ÙħÙĪ": 106698, + "å®Ĺ": 106699, + "nem": 106700, + "Ġkhoản": 106701, + "ĠпаÑĤ": 106702, + "анÑĤа": 106703, + "ĠпомоÑī": 106704, + "Ġvod": 106705, + "Ġkaynak": 106706, + "ÏĥÏĨ": 106707, + "à¥Ĥत": 106708, + "duÄŁ": 106709, + "аÑĤиÑģÑı": 106710, + "Ġç¥ŀ": 106711, + "ĠÑģлова": 106712, + "ÑĢÑĥкÑĤÑĥ": 106713, + "ĠmÄĽsÃŃ": 106714, + "ÙıÙħ": 106715, + "знаÑĩа": 106716, + "Ġèī": 106717, + "åѦçĶŁ": 106718, + "æ´¥": 106719, + "ÙİÙĬ": 106720, + "è§Ī": 106721, + "Ġå®ī": 106722, + "ĠgörÃ¼ÅŁ": 106723, + "álnÄĽ": 106724, + "ĠëĶ°ëĿ¼": 106725, + "ĠÙħÙĪجÙĪد": 106726, + "ĠÄijứ": 106727, + "ĠçalÄ±ÅŁmalar": 106728, + "ĠÑıкиÑħ": 106729, + "ĠاجتÙħاع": 106730, + "μεν": 106731, + "èİī": 106732, + "积": 106733, + "ì¶ķ": 106734, + "à¥įशन": 106735, + "Ġxét": 106736, + "ĠвÑĤоÑĢ": 106737, + "çİ©": 106738, + "ÂłÐĿ": 106739, + "ÑĪие": 106740, + "оÑĢи": 106741, + "أس": 106742, + "Ġthuá»ijc": 106743, + "ëĭĪê¹Į": 106744, + "ëķĮ": 106745, + "ÑĢÑĥп": 106746, + "ÑģÑıÑĤ": 106747, + "зÑĭ": 106748, + "ĠÑģмеÑĢ": 106749, + "Ġvyb": 106750, + "ĠìĿ´ìĥģ": 106751, + "à¤ļन": 106752, + "Ġgeldi": 106753, + "Û±Û°": 106754, + "ικÏİν": 106755, + "ĠÄIJức": 106756, + "ĠдоÑģÑĤаÑĤ": 106757, + "Ġönc": 106758, + "親": 106759, + "Ġadı": 106760, + "unca": 106761, + "ĠاÙĦتر": 106762, + "çķ¶": 106763, + "ĠФедеÑĢа": 106764, + "лÑıÑİÑĤÑģÑı": 106765, + "ĠÙĥاÙĨت": 106766, + "æİ¢": 106767, + "ĠÑĥб": 106768, + "Ġκο": 106769, + "ाà¤ĩà¤Ł": 106770, + "зн": 106771, + "Ġmôi": 106772, + "ĠãĤµ": 106773, + "ĠнавÑĸ": 106774, + "综åIJĪ": 106775, + "ĠминÑĥÑĤ": 106776, + "dık": 106777, + "ÑĢÑĥд": 106778, + "åľĸ": 106779, + "ê°¤": 106780, + "ĠÄijoÃłn": 106781, + "è¤": 106782, + "à¥įवर": 106783, + "ĠÃľniversit": 106784, + "ано": 106785, + "鼨": 106786, + "ĠvÅ¡echny": 106787, + "Ġëĭ¤ìĿĮ": 106788, + "ĠCumhur": 106789, + "ĠмÑĥз": 106790, + "aÅŁtır": 106791, + "Ġê±°ëŀĺ": 106792, + "Ġé¡": 106793, + "žitÃŃ": 106794, + "Ġà¸Ł": 106795, + "Ġthuế": 106796, + "ĠмÑĥж": 106797, + "ĠÎijν": 106798, + "ĠدÙĪÙħ": 106799, + "ĠÑģин": 106800, + "ĠÏīÏĤ": 106801, + "meler": 106802, + "ĠpoÄį": 106803, + "ĠколиÑĩе": 106804, + "ĠKÄį": 106805, + "è³½": 106806, + "ĠоÑģÑĸб": 106807, + "åı¥": 106808, + "ĠBöl": 106809, + "à¸ĺรรม": 106810, + "Ġcạnh": 106811, + "å°ĩ": 106812, + "ĠноÑģ": 106813, + "èĦ¸": 106814, + "Ġgelir": 106815, + "оÑĢон": 106816, + "à¥įरà¤Ń": 106817, + "ç»ĩ": 106818, + "ุà¹ī": 106819, + "ामल": 106820, + "Ġcâu": 106821, + "ÑijÑĤ": 106822, + "Ġ:|": 106823, + "ãĤĮãģ¦": 106824, + "Ġposled": 106825, + "ãĤ¹ãĥĨ": 106826, + "ÑĸлÑĮÑĪ": 106827, + "енÑĤÑĭ": 106828, + "خدÙħ": 106829, + "ĠباشگاÙĩ": 106830, + "ĠthÆ°": 106831, + "ávánÃŃ": 106832, + "ëĬIJ": 106833, + "ĠØ£ØŃ": 106834, + "راد": 106835, + "ĠبسÛĮار": 106836, + "åĪ°äºĨ": 106837, + "\";\"": 106838, + "å°İ": 106839, + "Ġör": 106840, + "à¸Ĭาà¸ķ": 106841, + "genus": 106842, + "Ġyakın": 106843, + "ĠÃŃt": 106844, + "regnum": 106845, + "Ġfiyat": 106846, + "нÑĸÑħ": 106847, + "åľ°æĸ¹": 106848, + "Ġbilgi": 106849, + "кам": 106850, + "Ġspol": 106851, + "ائÙĬ": 106852, + "ĠÙĬÙĨ": 106853, + "าหาร": 106854, + "Ġبگ": 106855, + "éĺħ": 106856, + "ĠاÙĦشر": 106857, + "Âģ": 106858, + "ĠÑĸнÑĪиÑħ": 106859, + "Ġtrạng": 106860, + "çģ£": 106861, + "Ġcá»±c": 106862, + "кан": 106863, + "èĭı": 106864, + "ÃĶ": 106865, + "Ġlá»Ŀi": 106866, + "ÑıÑĩ": 106867, + "ĠÙĪØŃ": 106868, + "ìĪľ": 106869, + "Ÿ": 106870, + "ĠвоÑģп": 106871, + "ì¡Į": 106872, + "ÄįnÃŃch": 106873, + "خرÙī": 106874, + "ائÙĬØ©": 106875, + "Ġsuất": 106876, + "æĩī": 106877, + "اØŃÛĮ": 106878, + "Ġnáz": 106879, + "è¿Ļç§į": 106880, + "ĠзабезпеÑĩ": 106881, + "ĠЧеÑĢ": 106882, + "ĠздÑĸйÑģ": 106883, + "åı¦": 106884, + "æĭ¬": 106885, + "à¥ģष": 106886, + "μÏĨ": 106887, + "ëĥIJ": 106888, + "ÐķÑģли": 106889, + "é¬": 106890, + "Ġíĥľ": 106891, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 106892, + "Ġмл": 106893, + "å´İ": 106894, + "Ùģع": 106895, + "ĠÙĤدر": 106896, + "Ġvá»ijn": 106897, + "妹": 106898, + "ĠÐĿаÑģ": 106899, + "à¥įफ": 106900, + "ãĤ¸ãĥ£": 106901, + "Ġmı": 106902, + "енÑģ": 106903, + "бÑĥд": 106904, + "ĠØŃتÙī": 106905, + "Ġì²´": 106906, + "ĠÑĸÑģÑĤоÑĢ": 106907, + "Ġgiấy": 106908, + "γοÏģ": 106909, + "ëIJĺìĸ´": 106910, + "ĠíĤ": 106911, + "ĠÐŀдна": 106912, + "ĠÙĨÙħÙĪد": 106913, + "Ġвипад": 106914, + "ĠìŀIJìĭł": 106915, + "Ġjste": 106916, + "Ġëĵ±ë¡Ŀ": 106917, + "ekten": 106918, + "ĠÑĢеÑĩ": 106919, + "rodnÃŃ": 106920, + "ستر": 106921, + "ıt": 106922, + "ä¹ħä¹ħ": 106923, + "ĠØ®ÙĦاÙĦ": 106924, + "Ġç¦": 106925, + "uluk": 106926, + "lenen": 106927, + "ilip": 106928, + "è´¢": 106929, + "Ġà¤ħà¤ķ": 106930, + "ĠYıl": 106931, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ": 106932, + "Ġà¤Ŀ": 106933, + "ĠBình": 106934, + "ĠolmuÅŁ": 106935, + "اÙĦØ¥ÙĨجÙĦÙĬزÙĬØ©": 106936, + "менно": 106937, + "alnız": 106938, + "ĠشرÙĥØ©": 106939, + "ĠسÙĨØ©": 106940, + "è´Ł": 106941, + "ä½ľåĵģ": 106942, + "Ġìķ½": 106943, + "ĠдÑĢÑĥгиÑħ": 106944, + "ĠbaÄŁlantı": 106945, + "одÑĥ": 106946, + "çļĦæĺ¯": 106947, + "ัà¸Ļà¸Ķ": 106948, + "ĠкоÑĤоÑĢÑĭÑħ": 106949, + "ĠاÙĦÙĪÙĦ": 106950, + "ê¸ĢìĥģìľĦ": 106951, + "ĠÏĢεÏģ": 106952, + "리ìķĦ": 106953, + "ibar": 106954, + "Ġèĥ": 106955, + "ãģŁãģĦ": 106956, + "áj": 106957, + "ĠìľĦíķ´": 106958, + "?âĢľĊĊ": 106959, + "Ġíİĺ": 106960, + "Ġней": 106961, + "ĠÐĹак": 106962, + "ĠÐĴÑĸд": 106963, + "елÑĸ": 106964, + "课": 106965, + "åī¯": 106966, + "madan": 106967, + "æľ«": 106968, + "ĠÏĢÏģÏĮ": 106969, + "ĠпÑģиÑħ": 106970, + "ĠÑĤÑĸ": 106971, + "Ùĥات": 106972, + "Ġvysok": 106973, + "ê´Ģ리": 106974, + "ültür": 106975, + "Ġà¹Ģà¸Ń": 106976, + "Ġíķ©": 106977, + "çĿ£": 106978, + "ĠÑĢиÑģ": 106979, + "еÑĢÑĮ": 106980, + "ĠÚ©ÙĦÛĮ": 106981, + "Ġãĥŀ": 106982, + "ĠphÃŃa": 106983, + "å«": 106984, + "اگ": 106985, + "Ġé¢": 106986, + "ĠÙĨÙģر": 106987, + "ĠجاÙĨ": 106988, + "Ġyas": 106989, + "жениÑı": 106990, + "ĠлÑĥÑĩÑĪе": 106991, + "Ġçº": 106992, + "Ġмон": 106993, + "Ġتخ": 106994, + "ĠØ´ÛĮ": 106995, + "ĠнекоÑĤоÑĢ": 106996, + "алÑĮнÑĭе": 106997, + "Ġobchod": 106998, + "Ġíķ¨ê»ĺ": 106999, + "Ġriêng": 107000, + "ãģķãĤĮãĤĭ": 107001, + "окÑĥ": 107002, + "ĠСШÐIJ": 107003, + "ë§ģ": 107004, + "ĠNếu": 107005, + "ĠAÄŁ": 107006, + "ĠдвеÑĢ": 107007, + "à¥ĭष": 107008, + "Ġkhiến": 107009, + "него": 107010, + "ì±ħ": 107011, + "ัà¸ķร": 107012, + "malı": 107013, + "ĠÙĬا": 107014, + "ç§ijæĬĢ": 107015, + "ืà¸Ļ": 107016, + "หมาย": 107017, + "Ġخص": 107018, + "åĨľ": 107019, + "ÃŃme": 107020, + "ĠÑįÑĤой": 107021, + "ĠìĹħ": 107022, + "Ġä¹": 107023, + "伯": 107024, + "'´": 107025, + "ÙħÙĬÙĦ": 107026, + "à¸Ńà¸ĩà¸Ħ": 107027, + "ková": 107028, + "è¿Ļä¹Ī": 107029, + "ãĢĤæĪij": 107030, + "ìĹIJìĦľëĬĶ": 107031, + "Ġìļ©": 107032, + "ë¹ĦìĬ¤": 107033, + "Ġì¦Ŀ": 107034, + "ITTE": 107035, + "Ġ모ëĵł": 107036, + "ĠspoleÄįnosti": 107037, + "Ġвик": 107038, + "ĠtÅĻÃŃ": 107039, + "é³": 107040, + "ĠØ®ÛĮ": 107041, + "Ġpož": 107042, + "ĠимееÑĤ": 107043, + "ĠdÄĽt": 107044, + "ĠÙħدÙĦ": 107045, + "Ġмо": 107046, + "åįı": 107047, + "enÃŃm": 107048, + "éī": 107049, + "اظ": 107050, + "ĠteÅŁ": 107051, + "ĠveÅĻej": 107052, + "LIC": 107053, + "ì§ĢëĬĶ": 107054, + "ÑĭваÑİÑĤ": 107055, + "ĠоÑĢганÑĸ": 107056, + "nÃŃmi": 107057, + "θÎŃ": 107058, + "ãĤ¯ãĥ©": 107059, + "ãĥ¼ãĥ³": 107060, + "лиÑģÑı": 107061, + "imdi": 107062, + "æĨ": 107063, + "ïºİ": 107064, + "Ġìļ´ìĺģ": 107065, + "καν": 107066, + "Ġë³µ": 107067, + "ĠÐĨн": 107068, + "plication": 107069, + "tah": 107070, + "ĠÐIJв": 107071, + "Ġcá»Ļng": 107072, + "алÑĮноÑĹ": 107073, + "ĠدÙĪرÙĩ": 107074, + "à¥įरय": 107075, + "ĠØ®ÙĪ": 107076, + "ĠвÑĢа": 107077, + "Ø¥ÙĨ": 107078, + "èĤī": 107079, + "Ġoyn": 107080, + "ĠTÆ°": 107081, + "ĠÙĩÙħاÙĨ": 107082, + "ĠбÑĸлÑĮÑĪе": 107083, + "æĮ¯": 107084, + "اÙħØ©": 107085, + "庫": 107086, + "ĠÑĢеж": 107087, + "ĠدارÙĨد": 107088, + "ÑĢий": 107089, + "ĠæĮ": 107090, + "Ġsonuç": 107091, + "Ġtả": 107092, + "ัà¸ĩà¸Ħ": 107093, + "ë°Ľ": 107094, + "Ġмом": 107095, + "виÑĩай": 107096, + ".à¸Ħ": 107097, + "Ġà¤Ĩà¤Ī": 107098, + "åģĩ": 107099, + "Ġposkyt": 107100, + "ĠÑģÑĥп": 107101, + "ıyordu": 107102, + "але": 107103, + "иÑĨ": 107104, + "ĠθÎŃ": 107105, + "ãĤĩãģĨ": 107106, + "ĠÑģвой": 107107, + "มà¸Ļ": 107108, + "Ġnữa": 107109, + "voÅĻ": 107110, + "اسÙĬ": 107111, + "éĴ±": 107112, + "ãģĹãģ¦ãģĦãģŁ": 107113, + "ĠÄijầy": 107114, + "اÙĬر": 107115, + "ĠaraÅŁtır": 107116, + "ì£": 107117, + "ãģ¨ãģ¯": 107118, + "ĠÑģпоÑĢ": 107119, + "Ġê°Ģìŀ¥": 107120, + "è¼ī": 107121, + "âĸ¡": 107122, + "ĠìĻĦ": 107123, + "оÑĢаÑı": 107124, + "Ïģεί": 107125, + "ĠÑįÑĤа": 107126, + "ë©´ìłģ": 107127, + "ìĿ´ìĬ¤": 107128, + "ä½³": 107129, + "æĻļ": 107130, + "Ġkval": 107131, + "Ġná»ķi": 107132, + "ÑĤами": 107133, + "ĠполÑĸÑĤи": 107134, + "ĠÄ°ng": 107135, + "нÑĸÑģÑĤÑİ": 107136, + "Ġà¹Ģà¸ģ": 107137, + "Ġ민": 107138, + "èĶ": 107139, + "Ïģία": 107140, + "æİĪ": 107141, + "ĠçĤ": 107142, + "ĠÙĨÙħاÛĮ": 107143, + "Ġìŀ¡": 107144, + "æŀ¶": 107145, + "ابÙĤ": 107146, + "Ñģон": 107147, + "енного": 107148, + "ĠÙħÛĮÙĦÛĮ": 107149, + "Ġkurum": 107150, + "à¹Įส": 107151, + "Ġì´Ŀ": 107152, + "ĠnÄĽkolik": 107153, + "ĠÙĢ": 107154, + "ĠзаÑģÑĤоÑģ": 107155, + "à¸Ķà¸Ļ": 107156, + "ÙĨداÙĨ": 107157, + "ĠJap": 107158, + "éĥ¡": 107159, + "à¥įà¤Ń": 107160, + "Ġà¹Ģà¸Ĭ": 107161, + "ĠâĢ«": 107162, + "é£ŀ": 107163, + "ovatel": 107164, + "ĠÑĩаÑģÑĤÑĮ": 107165, + "Ġbá»ķ": 107166, + "ãĤ¯ãĥª": 107167, + "ิà¹Į": 107168, + "Ġвиде": 107169, + "vail": 107170, + "Ìī": 107171, + "ÄŁinde": 107172, + "ãģ¨ãĤĤ": 107173, + "âĢĮÚ©ÙĨد": 107174, + "ĠëħĦ": 107175, + "ĠاÙĤتص": 107176, + "ï½Ĺ": 107177, + "ÏģιÏĥ": 107178, + "зд": 107179, + "èĻ½": 107180, + "Ġthoại": 107181, + "ĠÙĪز": 107182, + "ĠmÃŃt": 107183, + "ĠÑħолод": 107184, + "ĠкÑĥп": 107185, + "аниÑħ": 107186, + "Ġnhìn": 107187, + "ãģĭãģª": 107188, + "ĠÐļом": 107189, + "ÏĦεÏģ": 107190, + "ï¼Įåıª": 107191, + "Ġolup": 107192, + "Ġhá»ıi": 107193, + "ëij": 107194, + "ĠnÄĽkter": 107195, + "isÃŃ": 107196, + "ĠвикоÑĢиÑģÑĤов": 107197, + "ìŀ¡": 107198, + "Ġà¤ķल": 107199, + "ĠìľłìłĢ": 107200, + "ĠпÑĢиб": 107201, + "èĭ¦": 107202, + "Ġмов": 107203, + "Ġหà¸Ļ": 107204, + "ëIJĺëĬĶ": 107205, + "око": 107206, + "ĠобеÑģп": 107207, + "Ġkez": 107208, + "лÑıÑħ": 107209, + "ĠпÑĢоиÑģ": 107210, + "Ġповин": 107211, + "ĠÐļоÑĢ": 107212, + "ì¼Ģ": 107213, + "ĠÑģи": 107214, + "Ġä¹ĭ": 107215, + "ĠâĢĶĊ": 107216, + "ÑģÑĥÑĤÑģÑĤв": 107217, + "ç°": 107218, + "Ġà¤ł": 107219, + "наÑĤ": 107220, + "Ġsuy": 107221, + "ĠÑģÑĭ": 107222, + "ĠÙĨشاÙĨ": 107223, + "ĠнапÑĢав": 107224, + "ĠÑĨÑĮомÑĥ": 107225, + "æĺ¯ä¸Ģ": 107226, + "Ġmüm": 107227, + "ÑĶмо": 107228, + "ĠاسÙĦاÙħÛĮ": 107229, + "Ġzamanda": 107230, + "ÙĪÙħاÙĨ": 107231, + "اÙĦØŃ": 107232, + "Å¡tÄĽnÃŃ": 107233, + "ĠÐļак": 107234, + "¤íĶĦ": 107235, + "Ġپرد": 107236, + "Các": 107237, + "εια": 107238, + "ĠجÙĪ": 107239, + "ĠÄijoạn": 107240, + "Ġà¤ĩत": 107241, + "Ġзан": 107242, + "ĠÙħÙĨØ·ÙĤÙĩ": 107243, + "ĠÙħعÙĦ": 107244, + "Ġdokon": 107245, + "åIJ¸": 107246, + "ickou": 107247, + "å°ģ": 107248, + "ĠкиÑģ": 107249, + "ัà¸ĩหว": 107250, + "ispecies": 107251, + "ĠнапÑĢÑı": 107252, + "æºĸ": 107253, + "Ġà¤ľà¤²": 107254, + "à¹Ģà¸ī": 107255, + "LAR": 107256, + "ĠÑĥÑģловиÑı": 107257, + "ĠWikispecies": 107258, + "ระà¸Ķ": 107259, + "Ġmey": 107260, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 107261, + "à¹ĩà¸Ī": 107262, + "å¾Ĵ": 107263, + "tach": 107264, + "umuz": 107265, + "κη": 107266, + "ÃĬ": 107267, + "Ġün": 107268, + "ĠBITTE": 107269, + "ĠÙħربع": 107270, + "ãĤ·ãĥ¥": 107271, + "िसà¤ķ": 107272, + "Ø·ÙĪر": 107273, + "ĠвоÑģ": 107274, + "ï¾Ł": 107275, + "Ġyayın": 107276, + "ãģĭãĤĬ": 107277, + "лиÑı": 107278, + "ĠпÑĢин": 107279, + "ijng": 107280, + "ĠÙĨØ®": 107281, + "Ġlze": 107282, + "à¥įषण": 107283, + "Ġбо": 107284, + "Ġê¸Ģ": 107285, + "ĠgeliÅŁtir": 107286, + "à¸Ľà¸£à¸°à¸Ĭ": 107287, + "彡": 107288, + "ĠãĤª": 107289, + "ãģĪãģ¦": 107290, + "нÑĥÑĤÑĮ": 107291, + "Ġç½": 107292, + "Ġмаг": 107293, + "ãģ«ãģ¤": 107294, + "ноÑģÑĤей": 107295, + "ĠÙĦÙĬ": 107296, + "æĢª": 107297, + "ÑıÑĤÑģÑı": 107298, + "à¸ij": 107299, + "ियम": 107300, + "ĠãĢİ": 107301, + "ÑĢÑĮ": 107302, + "Ġmạng": 107303, + "tım": 107304, + "ĠпеÑĢиод": 107305, + "огÑĥ": 107306, + "ĠкоÑĤоÑĢаÑı": 107307, + "리ê°Ģ": 107308, + "Ġãħ¡": 107309, + "ĠجاÛĮ": 107310, + "ĠпоÑĤÑĢÑĸб": 107311, + "Å¡en": 107312, + "à¸Ńะ": 107313, + "بع": 107314, + "ØŁĊ": 107315, + "Ġë°©ë²ķ": 107316, + "ĠгоÑĢод": 107317, + "ĠÐĺн": 107318, + "Ġоказ": 107319, + "رÙĪز": 107320, + "ĠiliÅŁk": 107321, + "宣": 107322, + "forman": 107323, + "adaÅŁ": 107324, + "ÙĬÙĦØ©": 107325, + "ĠÐļаÑĢ": 107326, + "Ġmất": 107327, + "æħĭ": 107328, + "мп": 107329, + "à¹Ĥà¸Ļ": 107330, + "ĠØŃÙĤÙĪÙĤ": 107331, + "ĠднÑı": 107332, + "ĠëĴ¤": 107333, + "ाà¤ķर": 107334, + "ì²ĺëŁ¼": 107335, + "âĢĮØ¢": 107336, + "hangi": 107337, + "è¡ĮæĶ¿": 107338, + "aliyet": 107339, + "Ġì²ľ": 107340, + "ĠYap": 107341, + "à¹Ĥรà¸ĩ": 107342, + "ì§Ģëħ¸": 107343, + "ÙİÙij": 107344, + "ÎijÎĻ": 107345, + "ána": 107346, + "andır": 107347, + "ระà¸ļà¸ļ": 107348, + "oÄŁlu": 107349, + "าà¸Īะ": 107350, + "ẩy": 107351, + "اÙĪÙĦ": 107352, + "ĠмаÑĤеÑĢÑĸ": 107353, + "ÎŁÎĿ": 107354, + "Ġinformace": 107355, + "تع": 107356, + "à¸ļà¸Ļ": 107357, + "ĠÄĮeské": 107358, + "Ġtemel": 107359, + "::::::::::::::::::::::::::::::::": 107360, + "Ġchia": 107361, + "-Ñģ": 107362, + "неÑĢг": 107363, + "Ġì°¾": 107364, + "ÑĢид": 107365, + "лоÑģÑĮ": 107366, + "زÙĦ": 107367, + "ê°ĢëĬĶ": 107368, + "ané": 107369, + "ĠнавÑĸÑĤÑĮ": 107370, + "ä¸ĵä¸ļ": 107371, + "Ġ경기": 107372, + "ĠpÅĻev": 107373, + "еÑĤи": 107374, + "ĠíĶĮ": 107375, + "нÑıÑĤ": 107376, + "à¥ģश": 107377, + "лÑİд": 107378, + "виÑī": 107379, + "å°¾": 107380, + "çļĦäºĭ": 107381, + "ĠëIJľ": 107382, + "رÙĪÙģ": 107383, + "Ġ女": 107384, + "κή": 107385, + "ĠTuy": 107386, + "Ġê²ĥìĿĦ": 107387, + "Ġbunu": 107388, + "ĠÑĢазлиÑĩ": 107389, + "ĠDün": 107390, + "ãĤŃãĥ£": 107391, + "ÑĢÑĥÑģ": 107392, + "Ġмм": 107393, + "loven": 107394, + "Ġotev": 107395, + "noloj": 107396, + "ESÄ°": 107397, + "üp": 107398, + "ĠèĤ": 107399, + "ικÏĮÏĤ": 107400, + "ضاء": 107401, + "ĠпеÑĩ": 107402, + "ÅĻÃŃklad": 107403, + "ãģĵãĤį": 107404, + "Å¡tÃŃ": 107405, + "Ġبرگ": 107406, + "ãģĮãģĤãĤĭ": 107407, + "ÑĸÑģÑĤ": 107408, + "à¥īà¤ķ": 107409, + "ÏĢη": 107410, + "ĠاÙĦÙħست": 107411, + "Ġзай": 107412, + "ĠchÆ°Æ¡ng": 107413, + "оÑĤÑĥ": 107414, + "ĠСам": 107415, + "Å¡et": 107416, + "ĠìŀĪìĹĪ": 107417, + "ĠÙģار": 107418, + "Ñĸон": 107419, + "ãĥĹãĥŃ": 107420, + "Ġnhiá»ĩt": 107421, + "inizi": 107422, + "Ġcož": 107423, + "Ġà¤Ĩन": 107424, + "Ġsystém": 107425, + "رÙĪع": 107426, + "ayet": 107427, + "ĠÙģرÙĩÙĨÚ¯": 107428, + "Ġè¶": 107429, + "èģ·": 107430, + "è§Ĥçľĭ": 107431, + "нок": 107432, + "à¸IJาà¸Ļ": 107433, + "êµIJìľ¡": 107434, + "kla": 107435, + "ãĤģãģ¦": 107436, + "ÎķÎĻ": 107437, + "åĿĹ": 107438, + "ĠskuteÄį": 107439, + "à¥Ĥà¤ľ": 107440, + "ãģijãģ¦": 107441, + "NGC": 107442, + "ĠåĢ": 107443, + "ĠÑĢозп": 107444, + "nÃŃků": 107445, + "ãĥ³ãĤ¹": 107446, + "ĠÐĴеÑĢ": 107447, + "Ġyüzde": 107448, + "Ġ미êµŃ": 107449, + "ĠÙħÙī": 107450, + "деÑĢ": 107451, + "ава": 107452, + "Ġmerkez": 107453, + "įng": 107454, + "ĠìĤ¼": 107455, + "ĠÑĢобоÑĤи": 107456, + "ĠнÑĮого": 107457, + "Ġеконом": 107458, + "ĠÑĩеловека": 107459, + "Ġà¸ŀระ": 107460, + "ãĥĴ": 107461, + "ãģ£ãģ¦ãģĦ": 107462, + "ä¼Ĺ": 107463, + "ĠпÑĢодÑĥкÑĤ": 107464, + "Ġyanı": 107465, + "à¥Ģवन": 107466, + "ĠcáºŃp": 107467, + "ĠAvrupa": 107468, + "ाà¤Ń": 107469, + "ĠìłĦìļ©": 107470, + "æķ£": 107471, + "ĠìľĦíķľ": 107472, + "ÑħодиÑĤÑĮ": 107473, + "Ġsınır": 107474, + "ücret": 107475, + "suz": 107476, + "æ¨Ĥ": 107477, + "Ġì°½": 107478, + "ÏģίοÏħ": 107479, + "åĪļ": 107480, + "Ø®ÙĦ": 107481, + "ëłĩê²Į": 107482, + "جد": 107483, + "ĠμαÏĤ": 107484, + "áºŃm": 107485, + "kara": 107486, + "ãĤ«ãĥ¼": 107487, + "Ġkterou": 107488, + "ìĽ¨": 107489, + "ÑĦиÑĨи": 107490, + "oÄŁraf": 107491, + "ĠнапÑĢи": 107492, + "ãģijãģ©": 107493, + "Ġéļ": 107494, + "تباÙĦ": 107495, + "ëŁ½": 107496, + "ìĶ¨": 107497, + "íĮĮìĿ¼": 107498, + "Ïĩα": 107499, + "Ġuzak": 107500, + "Ġdòng": 107501, + "ĠголоÑģ": 107502, + "ÏĥÏĦή": 107503, + "ιλ": 107504, + "Ø·Ùģ": 107505, + "Ġê·¸ëħĢ": 107506, + "ãĤ¿ãĤ¤": 107507, + "اÙĨÚ¯": 107508, + "inou": 107509, + "лон": 107510, + "à¹ĩม": 107511, + "Ġबद": 107512, + "Ġkonusunda": 107513, + "Ġnâng": 107514, + "ãģ¾ãģĽãĤĵ": 107515, + "ÑĥÑİÑĤÑĮÑģÑı": 107516, + "åŁ¹": 107517, + "енко": 107518, + "ìłij": 107519, + "ĠÑĤов": 107520, + "ĠtÅĻeba": 107521, + "زاÙĨ": 107522, + "isyon": 107523, + "Ġген": 107524, + "ĠPokud": 107525, + "âĢĮاÙĨد": 107526, + "ĠгÑĢÑĥд": 107527, + "ĠخرÛĮد": 107528, + "λλα": 107529, + "ĠpÅĻÃŃm": 107530, + "Ġæ³ķ": 107531, + "ĠزÙĨدگÛĮ": 107532, + "ạp": 107533, + "ĠíĬ¸": 107534, + "ĠÄijá»Ļc": 107535, + "Ġê·¸ë¦¬ê³ł": 107536, + "низ": 107537, + "ĠÙĬÙĤ": 107538, + "laÅŁtır": 107539, + "ĠпÑĢаво": 107540, + "ÑĥÑģк": 107541, + "å°½": 107542, + "Ġपड": 107543, + "éĵģ": 107544, + "Ġì·¨": 107545, + "ĠاÙĦبÙĬ": 107546, + "¸": 107547, + "ิมà¸ŀ": 107548, + "ĠsvÄĽ": 107549, + "Ġбал": 107550, + "Ġmôn": 107551, + "ĠDữ": 107552, + "ĠشدÙĨ": 107553, + "ĠÙģÙĦ": 107554, + "Ġvznik": 107555, + "Ġchứ": 107556, + "ĠÑģÑĤÑĢÑĥкÑĤÑĥ": 107557, + "縣": 107558, + "ĠHoa": 107559, + "íĮĢ": 107560, + "ĠÑĢÑĸÑĪ": 107561, + "ĠвоздÑĥ": 107562, + "олÑĮÑĪ": 107563, + "οÏħμε": 107564, + "ูà¸Ļ": 107565, + "ĠпÑĢид": 107566, + "ilmek": 107567, + "ĠاÙĦÙĤر": 107568, + "Įĵ": 107569, + "Ġuç": 107570, + "å¨ĺ": 107571, + "ecektir": 107572, + "ĠíħĮ": 107573, + "ĠεÏħ": 107574, + "Ġhòa": 107575, + "ÏģÏħ": 107576, + "ึà¸ģษา": 107577, + "ĠÑĤеÑħнолог": 107578, + "úi": 107579, + "Ġbilgiler": 107580, + "ĠÙĤاÙĦ": 107581, + "edl": 107582, + "znám": 107583, + "ály": 107584, + "åºĶ该": 107585, + "алÑĮний": 107586, + "аÑĤелÑı": 107587, + "à¸Ļวà¸Ļ": 107588, + "ĠÐŁÐ¾Ð»": 107589, + "à¸ŀà¸Ļ": 107590, + "礼": 107591, + "Ġtasar": 107592, + "ĠÑĤой": 107593, + "ĠмеÑģÑı": 107594, + "ĠиÑģк": 107595, + "Ġपद": 107596, + "γή": 107597, + "اختÙĩ": 107598, + "è¿ĻéĩĮ": 107599, + "Ġchá»īnh": 107600, + "ĠÙĤسÙħ": 107601, + "ÙİÙĩ": 107602, + "erli": 107603, + "åĽ½éĻħ": 107604, + "iliyor": 107605, + "ĠØ´ÙĩرستاÙĨ": 107606, + "Ġvelk": 107607, + "åĽº": 107608, + "ĠбÑĸлÑĮÑĪ": 107609, + "ãĥ¼ãĥĹ": 107610, + "æŁIJ": 107611, + "ì§ľ": 107612, + "ĠÄĮR": 107613, + "Ġдек": 107614, + "ربÛĮ": 107615, + "овиÑĩ": 107616, + "Ġkapsam": 107617, + "ĠÙĦØ£": 107618, + "ĠанÑĤи": 107619, + "Ġücret": 107620, + "견": 107621, + "оÑĢож": 107622, + "ÛĮÙħÛĮ": 107623, + "è©ķ": 107624, + "Ġë§ŀ": 107625, + "ĠÑĢÑıд": 107626, + "ĠÙĩÙħراÙĩ": 107627, + "âr": 107628, + "ابت": 107629, + "ĠиÑģполÑĮзоваÑĤÑĮ": 107630, + "кÑģ": 107631, + "âī¡": 107632, + "Ġolay": 107633, + "èį¯": 107634, + "Ġoprav": 107635, + "ĠدربارÙĩ": 107636, + "Ġä¸ŃåĽ½": 107637, + "илÑģÑı": 107638, + "åį«": 107639, + "ĠاÙĦاست": 107640, + "ÙĪÛĮÛĮ": 107641, + "ÑĢеÑĪ": 107642, + "ĠÙĨس": 107643, + "ãĢĤåľ¨": 107644, + "ĠÙĦØŃ": 107645, + "Ġkorun": 107646, + "ĠÙģرد": 107647, + "ĠобоÑĢ": 107648, + "еÑĪÑĮ": 107649, + "ĠpodmÃŃn": 107650, + "Ġë¬¸ìłľ": 107651, + "ĠdeÄŁerlendir": 107652, + "ä¸įåIJĮ": 107653, + "液": 107654, + "ाहर": 107655, + "íļį": 107656, + "à¥įà¤ł": 107657, + "иÑĤиÑģÑı": 107658, + "اÙĦع": 107659, + "ĠdvÄĽ": 107660, + "ĠпеÑĢек": 107661, + "Ġåħĥ": 107662, + "Ġaras": 107663, + "Ġaltında": 107664, + "Ġвза": 107665, + "æĴĥ": 107666, + "Ġmilyon": 107667, + "ĠåѦ": 107668, + "ĠваÑĢи": 107669, + "ĠاÙĦعاÙĦÙħ": 107670, + "'Ñı": 107671, + "ÙĪÛĮس": 107672, + "ĠможÑĥÑĤÑĮ": 107673, + "ãģijãģŁ": 107674, + "ìĿ´ìĹĪëĭ¤": 107675, + "οÏįν": 107676, + "ĠéŁ": 107677, + "Ġpostup": 107678, + "üyük": 107679, + "åĪĬ": 107680, + "ĠÙĤب": 107681, + "ĠاصÙĦÛĮ": 107682, + "ÙĪÙī": 107683, + "Ġrepublik": 107684, + "ĠÐĻ": 107685, + "ģm": 107686, + "Ġбел": 107687, + "ा-": 107688, + "Ñģкое": 107689, + "Ġcuá»iji": 107690, + "è²·": 107691, + "ียว": 107692, + "éĩįè¦ģ": 107693, + "ูม": 107694, + "ĠÑĢозвиÑĤкÑĥ": 107695, + "Ġë°±": 107696, + "åĥ¹": 107697, + "Ġåīį": 107698, + "à¹Ħà¸ĭ": 107699, + "ãĢĮâĢ¦âĢ¦": 107700, + "à¥Įत": 107701, + "کرد": 107702, + "ĠzaÅĻÃŃzenÃŃ": 107703, + "สาร": 107704, + "Ġletech": 107705, + "lemek": 107706, + "人ãģ®": 107707, + "Ġdưỡng": 107708, + "تÙĤ": 107709, + "Ġåĵ": 107710, + "åħ»": 107711, + "Ġëıħ": 107712, + "Ġ루": 107713, + "Ø°ÙĦÙĥ": 107714, + "ĠìĿ¼ë³¸": 107715, + "ĠAyrıca": 107716, + "ĠÙ¾Úĺ": 107717, + "isinin": 107718, + "Ġìĭ¶": 107719, + "Ú¯ÛĮرÛĮ": 107720, + "خصص": 107721, + "³ç´°": 107722, + "ĠмаÑĤеÑĢиал": 107723, + "kové": 107724, + "ë§ī": 107725, + "ãģķãģĽ": 107726, + "ĠÑĤакой": 107727, + "ĠtráºŃn": 107728, + "ĠлиÑĨ": 107729, + "ĠåĽĽ": 107730, + "ÑĩÑĥ": 107731, + "Ġæ°´": 107732, + "Ġdolay": 107733, + "å½¹": 107734, + "ÑĢива": 107735, + "ĠгÑĢÑĥпп": 107736, + "Ġmümkün": 107737, + "лена": 107738, + "ëĿ¼ëĬĶ": 107739, + "åĪ©çĶ¨": 107740, + "Ġrahat": 107741, + "ï¼ıï¼ıï¼ıï¼ı": 107742, + "æģ©": 107743, + "ĠíķŃ": 107744, + "ĠíĴ": 107745, + "ĠìĬ¹": 107746, + "Ġchân": 107747, + "ĠãĤ¨": 107748, + "Ġжизни": 107749, + "çĸij": 107750, + "ãĢĤä»ĸ": 107751, + "리ìĬ¤": 107752, + "ÑĩиÑħ": 107753, + "Ġé¦ĸ": 107754, + "ÄĽr": 107755, + "ĠйомÑĥ": 107756, + "ĠtháºŃt": 107757, + "Ġìķŀ": 107758, + "cih": 107759, + "سÙĦاÙħ": 107760, + "Ġsiyas": 107761, + "ĠíĸĪ": 107762, + "ĠкоÑĪ": 107763, + "Ïĥαν": 107764, + "ÙĬاÙĨ": 107765, + "Ġdö": 107766, + "ाहत": 107767, + "оÑĢод": 107768, + "оваÑı": 107769, + "ÑĨионалÑĮ": 107770, + "ائÙĩ": 107771, + "Ġà¤ĸर": 107772, + "ĠÄijá»Ŀi": 107773, + "ä¸įä¼ļ": 107774, + "Ùĥز": 107775, + "ีà¸Ħวาม": 107776, + "lıyor": 107777, + "à¥ĭद": 107778, + "Ġ충": 107779, + "Ġcá»ij": 107780, + "à¹Ĥà¸ķ": 107781, + "ĠεÏĢί": 107782, + "ĠпÑĢÑıм": 107783, + "æ³°": 107784, + "اÙĦØ©": 107785, + "jÃŃm": 107786, + "Ġби": 107787, + "Å¡em": 107788, + "ĠHá»Ļi": 107789, + "à¸Ħรà¸ĩ": 107790, + "Ġhuyá»ĩn": 107791, + "ç¯Ģ": 107792, + "liÅ¡": 107793, + "ĠجÙĩت": 107794, + "ç§ĭ": 107795, + "ĠÑĨел": 107796, + "ĠлÑĸÑĤ": 107797, + "Ġæ·": 107798, + "жÑĥ": 107799, + "ãģĪãģŁ": 107800, + "ë´ī": 107801, + "Ġ머": 107802, + "åł´åIJĪ": 107803, + "éĿ©": 107804, + "ãĥªãĥ³": 107805, + "егда": 107806, + "Ġbenim": 107807, + "缣": 107808, + "ãģ®ä¸Ń": 107809, + "åĿIJ": 107810, + "ĠÃľniversitesi": 107811, + "ĠkoÅŁ": 107812, + "Ġпож": 107813, + "iá»ĩp": 107814, + "ĠpÅĻij": 107815, + "ëŀ¨": 107816, + "ĠاÙĦأس": 107817, + "árnÃŃ": 107818, + "iếm": 107819, + "ĠèĬ": 107820, + "Ġδε": 107821, + "娱ä¹IJ": 107822, + "ĠÆ°u": 107823, + "ĠçĦ¡": 107824, + "ĠгÑĢи": 107825, + "ĠпоÑįÑĤомÑĥ": 107826, + "ĠÄijóng": 107827, + "جاÙĨ": 107828, + "Ġnghiên": 107829, + "ĠاÙĦاÙĨ": 107830, + "ÑĪей": 107831, + "à¹ģรà¸ģ": 107832, + "ĠÚĨÙĩار": 107833, + "ÑİÑīий": 107834, + "ÏĮÏģ": 107835, + "ĠرÙħ": 107836, + "ì²ł": 107837, + "ĠدستگاÙĩ": 107838, + "ĠدÛĮد": 107839, + "ãĥĥãĤ¯ãĤ¹": 107840, + "ामन": 107841, + "ĠThÃłnh": 107842, + "Ġthẩm": 107843, + "ĠcÃłng": 107844, + "ĠdönÃ¼ÅŁ": 107845, + "ĠпÑĢигоÑĤов": 107846, + "ĠkiÅŁi": 107847, + "ØŃت": 107848, + "Ġë²ķ": 107849, + "é£Ľ": 107850, + "Ġitibar": 107851, + "Ġглав": 107852, + "Ġortam": 107853, + "Ġmadd": 107854, + "ĠоÑģÑĤав": 107855, + "ĠÙģÙĪتباÙĦ": 107856, + "ĠanlaÅŁ": 107857, + "leyen": 107858, + "ç´Ģ": 107859, + "Ġé£": 107860, + "/lo": 107861, + "ÙħÙĪÙĦ": 107862, + "ĠдÑĥÑħ": 107863, + "ĠÙĦب": 107864, + "лег": 107865, + "Ġgönder": 107866, + "ÙĬØ·": 107867, + "Ġสำ": 107868, + "Ġvás": 107869, + "ĠÐŁÐµÑĤ": 107870, + "алоÑģÑı": 107871, + "ì¿ł": 107872, + "éĻ½": 107873, + "åĸ®": 107874, + "èĪŀ": 107875, + "нÑĥл": 107876, + "ÄŁine": 107877, + "Ġghi": 107878, + "Ġçµ": 107879, + "ÙĬÙĨÙĬ": 107880, + "Ž": 107881, + "Ġhüküm": 107882, + "ĠDÄ±ÅŁ": 107883, + "ĠÎŃÏĩει": 107884, + "ĠÑģка": 107885, + "ĠÑĤим": 107886, + "ĠпоÑģÑĤав": 107887, + "à¸Ļาà¸Ķ": 107888, + "dül": 107889, + "Ġdva": 107890, + "Ġà¸Ħà¸Ļ": 107891, + "Ġchá»ĭu": 107892, + "Ġèı": 107893, + "à¹ģสà¸Ķà¸ĩ": 107894, + "æ°£": 107895, + "ĠíĪ¬": 107896, + "ĠÑĩин": 107897, + "ãģ«ãģĬ": 107898, + "енноÑģÑĤи": 107899, + "ÐIJÐĿ": 107900, + "Ġhemen": 107901, + "Ġait": 107902, + "Ġà¤Ĭ": 107903, + "æī§": 107904, + "ĠABD": 107905, + "Ġκαθ": 107906, + "æ´Ľ": 107907, + "ãĤ¢ãĥ«": 107908, + "à¹īาà¸Ĺ": 107909, + "ÅĻez": 107910, + "dÄĽji": 107911, + "Ġtá»ĭch": 107912, + "еннÑıм": 107913, + "ĠвÑģÑĤанов": 107914, + "ĠاÙĦبر": 107915, + "ÙĪÙħتر": 107916, + "kách": 107917, + "åºĬ": 107918, + "лÑĥж": 107919, + "Ġتد": 107920, + "丽": 107921, + "رخ": 107922, + "à¤Ĥà¤ĸ": 107923, + "èĩªå·±çļĦ": 107924, + "å®ĺç½ij": 107925, + "-Ñı": 107926, + "à¹ĩà¸Ķ": 107927, + "èĦļ": 107928, + "Ġçķ": 107929, + "Ġiçerisinde": 107930, + "Ġbiá»ĥn": 107931, + "Ġà¸ģล": 107932, + "ĠyaÄŁ": 107933, + "Ġæ´": 107934, + "ĠбÑĢа": 107935, + "عار": 107936, + "æĪ°": 107937, + "à¥ĢĊ": 107938, + "ĠléÄį": 107939, + "aların": 107940, + "ĠÎĸ": 107941, + "аÑĢÑı": 107942, + "ãģĿãĤĵãģª": 107943, + "ÅĪuje": 107944, + "ãĢĢĠ": 107945, + "ĠsaÄŁlık": 107946, + "ĠдоÑģлÑĸд": 107947, + "ÃŃÅ¡": 107948, + "à¥įरश": 107949, + "à¥īन": 107950, + "Ġgiả": 107951, + "بÙĪاسطة": 107952, + "å®ģ": 107953, + "Ġsoud": 107954, + "ĠкÑĤо": 107955, + "esel": 107956, + "Ġпам": 107957, + "ĠÂłĠ": 107958, + "ĠÄįlov": 107959, + "æ··": 107960, + "หà¸į": 107961, + "ĠOsman": 107962, + "æ¦Ĥ": 107963, + "Ġåĭ": 107964, + "ï¼Įåħ¶": 107965, + "Ġà¸Ħร": 107966, + "Ġmá»ģm": 107967, + "ĠÑģоÑĢ": 107968, + "çĨ±": 107969, + "Ġthuê": 107970, + "رج": 107971, + "à¹Ĥลà¸ģ": 107972, + "Ġíķĺê³ł": 107973, + "ÙĬدة": 107974, + "ĠaÅŁaģı": 107975, + "Ġká»ĥ": 107976, + "à¸ķำ": 107977, + "λει": 107978, + "çļĦè¯Ŀ": 107979, + "æ±ł": 107980, + "ĠÑģÑĤен": 107981, + "Ġincel": 107982, + "åºŃ": 107983, + "ÑĤоÑĩ": 107984, + "Ġproblém": 107985, + "ÏĦÏĥ": 107986, + "à¹īà¸Ńà¸Ļ": 107987, + "ë³´ëĭ¤": 107988, + "Ġà¤Ĩà¤Ĺ": 107989, + "ναÏĤ": 107990, + "ãģĦãĤĭ": 107991, + "Ġdục": 107992, + "Ġtohoto": 107993, + "ëIJĺìĹĪëĭ¤": 107994, + "TJ": 107995, + "ĠвизнаÑĩ": 107996, + "ĠBunun": 107997, + "à¤Ĥबर": 107998, + "ĠÙĩÙħÚĨÙĨÛĮÙĨ": 107999, + "ĠбÑİдж": 108000, + "ÑĥÑĢг": 108001, + "亮": 108002, + "Ġμεγ": 108003, + "Ġtoplum": 108004, + "ãģ£ãģ": 108005, + "оÑĤо": 108006, + ":|": 108007, + "éĿŀ常": 108008, + "ิà¸Ĺà¸ĺ": 108009, + "éģķ": 108010, + "âĢĮپدÛĮ": 108011, + "ĠзÑĢоб": 108012, + "à¹Įà¸Ķ": 108013, + "Ġдолжен": 108014, + "ĠmÄĽsta": 108015, + "ÛĮØ´Ùĩ": 108016, + "vatel": 108017, + "Ġprovoz": 108018, + "Ġinan": 108019, + "à¤Ĥप": 108020, + "Ġparç": 108021, + "ÑĢаÑģÑĤ": 108022, + "ümü": 108023, + "Ġgiá»ijng": 108024, + "欢": 108025, + "Ø«ÙĬر": 108026, + "ĠBakan": 108027, + "ĠâĪ¨": 108028, + "ĠباÙĨ": 108029, + "Û±Û¸": 108030, + "ãĤĤãģĨ": 108031, + "landı": 108032, + "Ġyeniden": 108033, + "ÑĨенÑĤ": 108034, + "ĠдеÑıÑĤелÑĮ": 108035, + "Щ": 108036, + "Ġrov": 108037, + "å®Įåħ¨": 108038, + "ĠKỳ": 108039, + "slu": 108040, + "Ġlấy": 108041, + "é¤IJ": 108042, + "ĠÑĩолов": 108043, + "ä¼Ŀ": 108044, + "ĠbaÅŁv": 108045, + "å°Ī": 108046, + "곡": 108047, + "ãĢģãģĿãĤĮ": 108048, + "ĠPÅĻÃŃ": 108049, + "дем": 108050, + "ĠпÑĢоек": 108051, + "รà¸ĸ": 108052, + "建设": 108053, + "Ġможлив": 108054, + "殺": 108055, + "ãģ¡ãĤĥãĤĵ": 108056, + "æķij": 108057, + "ĠÄįty": 108058, + "é¦Ĩ": 108059, + "оÑĢÑĥ": 108060, + "ĠæĦ": 108061, + "ĠkÃŃch": 108062, + "λοÏħ": 108063, + "ãģĦãģ¤": 108064, + "ĠcÄĥn": 108065, + "ẵ": 108066, + "Ġelde": 108067, + "麻": 108068, + "ÄŁe": 108069, + "ĠdobÄĽ": 108070, + "ायर": 108071, + "Ġãĥı": 108072, + "нен": 108073, + "Ġmůžete": 108074, + "ĠнаÑģÑĤÑĥп": 108075, + "ìĭľê°Ħ": 108076, + "ĠÑģимпÑĤом": 108077, + "ĠÏĥÏį": 108078, + "ĠسÙĦ": 108079, + "εκ": 108080, + "รà¸ĵ": 108081, + "áte": 108082, + "ekler": 108083, + "ĠвÑĢемени": 108084, + "âĢĮÙĩاÛĮÛĮ": 108085, + "ãģĬãĤĬ": 108086, + "жи": 108087, + "ÑĭваеÑĤÑģÑı": 108088, + "ÙħاÙĨÛĮ": 108089, + "à¸ķล": 108090, + "Ġصد": 108091, + "Ġвол": 108092, + "ìĬĪ": 108093, + "ĠÙĥÙħا": 108094, + "Ġnhằm": 108095, + "èģ¯": 108096, + "ovacÃŃ": 108097, + "Ġë§Įëĵ¤": 108098, + "ÙĪÙ¾": 108099, + "Ġë¸Į": 108100, + "بÙĬØ©": 108101, + "uyla": 108102, + "лено": 108103, + "èĮ¶": 108104, + "ÑĢей": 108105, + "Ġkli": 108106, + "Ġüzerinden": 108107, + "неÑĤ": 108108, + "raÄį": 108109, + "ĠпÑĢаÑĨÑİ": 108110, + "Ġediyor": 108111, + "ãģıãģł": 108112, + "ĠÄįast": 108113, + "iyi": 108114, + "éĬĢ": 108115, + "Ġdù": 108116, + "Ùİب": 108117, + "ÙĪÙĬØ©": 108118, + "åª": 108119, + "Ġsınıf": 108120, + "Ġساعت": 108121, + "Ġราย": 108122, + "ĠзаÑıв": 108123, + "Ġgặp": 108124, + "à¸Ńว": 108125, + "ĠØ«Ùħ": 108126, + "ĠZá": 108127, + "ĠвÑĸдк": 108128, + "izik": 108129, + "Ġmón": 108130, + "ĠповÑĭÑĪ": 108131, + "Ġà¸ļาà¸Ĺ": 108132, + "ĠÑģил": 108133, + "æĥħåł±": 108134, + "Âłt": 108135, + "ĠÐľÐ¾Ñģк": 108136, + "Ġê²ĥìĿ´ëĭ¤": 108137, + "ĠçIJ": 108138, + "ĠÙħدÛĮرÛĮت": 108139, + "овоÑĹ": 108140, + "Το": 108141, + "纪": 108142, + "нÑĸÑĪе": 108143, + "ĠÐĽÑİ": 108144, + "ηÏĥη": 108145, + "ĠÙĨسبت": 108146, + "muz": 108147, + "รว": 108148, + "ãĢģãģĤ": 108149, + "Ġболез": 108150, + "Ġtrách": 108151, + "ãĥ¦": 108152, + "à¹Ģà¸Ĥา": 108153, + "Ġê·¸ëĬĶ": 108154, + "برÛĮ": 108155, + "æłª": 108156, + "ëĿ¼ìĿ´": 108157, + "ĠíĮ¨": 108158, + "íĬ¹": 108159, + "ľ´": 108160, + "िड": 108161, + "ÑĢоме": 108162, + "讲": 108163, + "ĠÑĤон": 108164, + "ÑģÑĸ": 108165, + "Ġç®": 108166, + "åıĸãĤĬ": 108167, + "ì°°": 108168, + "ĠÙĪÙĦÛĮ": 108169, + "ĠسطØŃ": 108170, + "èıľ": 108171, + "нами": 108172, + "Türk": 108173, + "åİĤ": 108174, + "Ġfinan": 108175, + "ãģ«ãģªãĤĭ": 108176, + "Ġoby": 108177, + "Trong": 108178, + "Ġvyp": 108179, + "à¥ģड": 108180, + "ìŀIJê°Ģ": 108181, + "ĠæīĢ": 108182, + "ÐĹа": 108183, + "umlu": 108184, + "ëĵĿ": 108185, + "ĠменÑĸ": 108186, + "олниÑĤелÑĮ": 108187, + "ĠúÄįin": 108188, + "Ġbunun": 108189, + "ĠÐłÐ¾ÑģÑģии": 108190, + "вÑģÑı": 108191, + "ĠнÑĸж": 108192, + "ิà¸Ķà¸ķ": 108193, + "غة": 108194, + "Äļ": 108195, + "ĠسÙħ": 108196, + "ĠÐĺз": 108197, + "à¥ĩप": 108198, + "大çļĦ": 108199, + "ì¹ľ": 108200, + "ĠиÑģÑĤ": 108201, + "ĠконÑģÑĤÑĢÑĥк": 108202, + "Û±Û²": 108203, + "âl": 108204, + "ĠÑĪиÑĢ": 108205, + "ï¼ł": 108206, + "Ġartık": 108207, + "æŁĵ": 108208, + "乡": 108209, + "ÃŃte": 108210, + "ĠNháºŃt": 108211, + "ĠÎĶη": 108212, + "Ġölç": 108213, + "êµ´": 108214, + "оÑıн": 108215, + "ëĵ±ë¡Ŀ": 108216, + "Ġngân": 108217, + "ĠбÑĥдÑĮ": 108218, + "ÎŁÎ¡": 108219, + "ì´": 108220, + "ÙħÙĪد": 108221, + "νον": 108222, + "ÎķÎĿ": 108223, + "çijŀ": 108224, + "ĠÅĻek": 108225, + "-âĢIJ": 108226, + "ĠMerk": 108227, + "ĠопÑĢедел": 108228, + "Ïģιν": 108229, + "лаб": 108230, + "ëĦ¤ìļĶ": 108231, + "Ġблиз": 108232, + "Ġphá»iji": 108233, + "ĠдолжнÑĭ": 108234, + "ĠÑįкÑģп": 108235, + "à¸ļà¸Ĺ": 108236, + "à¸Ľà¸£à¸°à¸ª": 108237, + "ĠÙ¾ÚĺÙĪÙĩ": 108238, + "Ġíķľëĭ¤": 108239, + "ÏĦοÏį": 108240, + "ÙĩÙĨ": 108241, + "Ġдод": 108242, + "Ġkayı": 108243, + "Łģ": 108244, + "ÑģиÑı": 108245, + "à¤Ĥतर": 108246, + "Ġpodnik": 108247, + "evi": 108248, + "ÛĮÛĮر": 108249, + "Так": 108250, + "коп": 108251, + "наÑħ": 108252, + "اسÙĩ": 108253, + "à¸ĵà¸ij": 108254, + "Ġkhá": 108255, + "Ġyarat": 108256, + "ĠاÛĮÙĨÚ©Ùĩ": 108257, + "طبÙĬ": 108258, + "Ġsır": 108259, + "ĠØ¢ÙħرÛĮکا": 108260, + "Ġबल": 108261, + "kaç": 108262, + "Ġåı¯": 108263, + "Ġåħ¶": 108264, + ".***": 108265, + "лÑĸннÑı": 108266, + "ä¹±": 108267, + "oq": 108268, + "æ¦": 108269, + "ãĤ¼": 108270, + "Ġfır": 108271, + "Ġkê": 108272, + "Ġìłľê³µ": 108273, + "ĠÏĥη": 108274, + "анÑĭ": 108275, + "нова": 108276, + "à¸Ĭาย": 108277, + "ĠØ·ÙĪÙĦ": 108278, + "à¥Īय": 108279, + "Ġì¹ľ": 108280, + "ìĤ´": 108281, + "ĠпÑĸв": 108282, + "ĠluáºŃn": 108283, + "Ġà¤īम": 108284, + "åºĥ": 108285, + "à¹ĩà¸Ńà¸ķ": 108286, + "ĠساÛĮت": 108287, + "лÑıн": 108288, + "ĠíķĦìļĶ": 108289, + "Ġgörül": 108290, + "ĠÑĤеÑĢиÑĤоÑĢ": 108291, + "ĠÙĨØŃ": 108292, + "ема": 108293, + "Ġmnoh": 108294, + "Ġãģ¯": 108295, + "غÙĬر": 108296, + "ĠÑģделаÑĤÑĮ": 108297, + "çģµ": 108298, + "ĠÐłÐ°Ð·": 108299, + "ĠгеÑĢ": 108300, + "γμα": 108301, + "íķĺë©´": 108302, + "ĠdeÄŁiÅŁtir": 108303, + "ãĥ³ãĥĨ": 108304, + "å¸Ĥåľº": 108305, + "个人": 108306, + "ìĥĪ": 108307, + "침": 108308, + "èīº": 108309, + "ÙĤت": 108310, + "ĠگرÙģتÙĩ": 108311, + "Ġçİĭ": 108312, + "ĠاÙĦØ°Ùĩ": 108313, + "λÏħ": 108314, + "à¤ľà¤°": 108315, + "Ġвним": 108316, + "ë¦Ń": 108317, + "ิà¸Ĺ": 108318, + "ĠشاÙĩ": 108319, + "æĬķèµĦ": 108320, + "æĿIJæĸĻ": 108321, + "ĠÙĨÙģ": 108322, + "説": 108323, + "æĬĹ": 108324, + "Ġаб": 108325, + "iyeti": 108326, + "ç¾ħ": 108327, + "ÑĢÑĸз": 108328, + "Ġสม": 108329, + "icÃŃ": 108330, + "кÑĥваннÑı": 108331, + "Ġìķ¼": 108332, + "Ġè½": 108333, + "âĢ«": 108334, + "Ġδιά": 108335, + "Ġдеп": 108336, + "ãĥ¼ãĤ¿": 108337, + "Ġobjev": 108338, + "ména": 108339, + "Ġbelg": 108340, + "Ġæ¥": 108341, + "Ġná»ģn": 108342, + "Ġгол": 108343, + "Ġpostav": 108344, + "Ġتک": 108345, + "Ы": 108346, + "ĠпÑĸдÑĤ": 108347, + "ĠоÑĤноÑĪ": 108348, + "ĠпÑĢив": 108349, + "ĠåŁº": 108350, + "Ġнали": 108351, + "ůž": 108352, + "Ġyat": 108353, + "ÅŁa": 108354, + "ÏĦήÏĤ": 108355, + "ÑĨем": 108356, + "次æķ°": 108357, + "ĠbÃł": 108358, + "ÙĪÙĥ": 108359, + "ĠíĶĦë¡ľ": 108360, + "ĠPháp": 108361, + "Ġêµ°": 108362, + "è³ŀ": 108363, + "Ġochran": 108364, + "Ġgerekir": 108365, + "Ġíļ": 108366, + "à¸ļล": 108367, + "áme": 108368, + "ĠبÛĮر": 108369, + "à¸Ĥาย": 108370, + "ований": 108371, + "Ġmožné": 108372, + "âĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģ": 108373, + "álu": 108374, + "нÑĤ": 108375, + "¦æĥħ": 108376, + "à¹ģรม": 108377, + "ĠÑĦÑĸн": 108378, + "Ġİç": 108379, + "à¹Īà¸Ńย": 108380, + "겨": 108381, + "Ġhedef": 108382, + "ĠاÙĦÙħØ´": 108383, + "à¹īาม": 108384, + "å¯Ħ": 108385, + "Ġëĭµ": 108386, + "Ġô": 108387, + "лаÑģÑı": 108388, + "Ä°T": 108389, + "à¸Ķำ": 108390, + "Ġherhangi": 108391, + "Ġgereken": 108392, + "еÑĢеж": 108393, + "ÙĪØ©": 108394, + "ĠpÅĻest": 108395, + "ç§ijåѦ": 108396, + "оÑģÑĤаÑĤ": 108397, + "ünden": 108398, + "åĮħæĭ¬": 108399, + "ĠدÙĩد": 108400, + "ÑĪиÑģÑĮ": 108401, + "неÑĢ": 108402, + "Ñĸдом": 108403, + "Ġbiç": 108404, + "ìĭŃ": 108405, + "Ġhodnot": 108406, + "ĠzemÄĽ": 108407, + "ĠاÛĮجاد": 108408, + "Ġyine": 108409, + "िण": 108410, + "ĠاÙĦبÙĦ": 108411, + "ĠNÄĽ": 108412, + "Ġpolož": 108413, + "éĺħ读": 108414, + "å¸ģ": 108415, + "å¼Ł": 108416, + "ξε": 108417, + "ĠMá»Ļt": 108418, + "ç£": 108419, + "Û±Û³Û¹": 108420, + "Ġآز": 108421, + "ãģŀ": 108422, + "ĠмеÑħ": 108423, + "ยม": 108424, + "Ġæ¨": 108425, + "Ġotur": 108426, + "Ġdầu": 108427, + "Ġëĭ¤ìļ´": 108428, + "çĮ«": 108429, + "ĠCó": 108430, + "ĠlidÃŃ": 108431, + "ĠarkadaÅŁ": 108432, + "Ġαλλά": 108433, + "é¡»": 108434, + "ĠÙĩÙħÛĮÙĨ": 108435, + "転": 108436, + "ĠâĹĭ": 108437, + "ëıĦë¡Ŀ": 108438, + "Âĥ": 108439, + "âĢĮشدÙĩ": 108440, + "ĠØŃÙĬØ«": 108441, + "Ġnhóm": 108442, + "ÏĥÏĩ": 108443, + "ĠÑĤÑĢанÑģп": 108444, + "Ġtanım": 108445, + "ç´į": 108446, + "Ġbahis": 108447, + "举": 108448, + "ĠинÑĦоÑĢма": 108449, + "ĠÑģлож": 108450, + "Ġkraj": 108451, + "ĠØŃÙĦ": 108452, + "Ġãĥĸ": 108453, + "ĠÙĨÙĤÙĦ": 108454, + "ĠÐłÐ¾Ð·": 108455, + "ĠÎijÏħ": 108456, + "lardı": 108457, + "Ġپاس": 108458, + "ĠìĭĿ": 108459, + "ĠìłĦìļ©ë©´ìłģ": 108460, + "ĠاÙĦسÙĬ": 108461, + "باشد": 108462, + "ศาสà¸ķร": 108463, + "Ġköy": 108464, + "Ġrok": 108465, + "Ġ죽": 108466, + "ĠÑģог": 108467, + "Ġchú": 108468, + "éĺª": 108469, + "ĠÄįásti": 108470, + "ĠзвеÑĢ": 108471, + "Ġниз": 108472, + "ĠÃ¶ÄŁret": 108473, + "Ġãĥİ": 108474, + "пе": 108475, + "çĴ°": 108476, + "Ġèª": 108477, + "ÙĪÙĦÙĩ": 108478, + "Ä°M": 108479, + "/REC": 108480, + "å¡ŀ": 108481, + "ĠÐĴи": 108482, + "/loose": 108483, + "ĠпоÑħ": 108484, + "ĠgeniÅŁ": 108485, + "Ġthiá»ĩn": 108486, + "tiÄŁi": 108487, + "Ñĩие": 108488, + "онд": 108489, + "ĠпÑĢиÑģ": 108490, + "ázky": 108491, + "ĠDevlet": 108492, + "ç¦ģ": 108493, + "Ġаг": 108494, + "ilere": 108495, + "инкÑĥ": 108496, + "Ġvardı": 108497, + "ãĢĢãĢĢãĢĢĠãĢĢ": 108498, + "ĠëĨĴ": 108499, + "à¤Ĥपन": 108500, + "Ġözellik": 108501, + "éļľ": 108502, + "ìĸ´ìĦľ": 108503, + "رÙĬÙĥ": 108504, + "ÙĪبÛĮ": 108505, + "ãĥ³ãĥĢ": 108506, + "íĮ¨": 108507, + "Ġसमà¤Ŀ": 108508, + "ï¾Ĩï¾Ĩï¾Ĩï¾Ĩ": 108509, + "ĠÙģÙĨ": 108510, + "à¥Ŀ": 108511, + "Ġuveden": 108512, + "ÑĪими": 108513, + "Ġà¹Ģล": 108514, + "Ġ문ìĿĺ": 108515, + "ĠØŃرÙģ": 108516, + "Ġعب": 108517, + "ãĥ¬ãĥĵ": 108518, + "ĠæŃ£": 108519, + "ĠëĺIJëĬĶ": 108520, + "ĠÚ©ÙĨÙĨدÙĩ": 108521, + "ĠαÏħÏĦÏĮ": 108522, + "Ġ길": 108523, + "Ġifade": 108524, + "Ġyapmak": 108525, + "ãĥķãĤ©": 108526, + "Ġmẹ": 108527, + "Ġstrán": 108528, + "Ġsvou": 108529, + "Ġvždy": 108530, + "Ġtekrar": 108531, + "ิà¸į": 108532, + "Ġìĵ°": 108533, + "oÄŁu": 108534, + "ĠÚ©ÛĮÙĦ": 108535, + "ивÑģÑı": 108536, + "Ġë§IJíĸĪëĭ¤": 108537, + "ä¸Ŀ": 108538, + "à¤ıस": 108539, + "ĠÑģÑĤÑĢаÑħ": 108540, + "ĠsouÄįas": 108541, + "Ġê·¸ëŁ°": 108542, + "ĠmÃ¼ÅŁ": 108543, + "λοÏį": 108544, + "γÏī": 108545, + "ĠtÆ°á»Łng": 108546, + "Ġå·¥": 108547, + "ĠاسÙħ": 108548, + "ÑĢÑĸм": 108549, + "à¹Ģà¸Ľà¸¥": 108550, + "Ġ³³Ġ³³": 108551, + "ÙĩاÛĮÛĮ": 108552, + "寺": 108553, + "ĠسرÛĮ": 108554, + "ĠкваÑĢ": 108555, + "ĠØ´ÙħارÙĩ": 108556, + "ĠصØŃ": 108557, + "оÑģÑĤав": 108558, + "२": 108559, + "Ġà¸Ħวาม": 108560, + "íĥģ": 108561, + "éĢĤ": 108562, + "بØŃ": 108563, + "ĠdeÄŁiÅŁik": 108564, + "éĮ²": 108565, + "еди": 108566, + "Ġokol": 108567, + "ĠÑģоп": 108568, + "Ġolmayan": 108569, + "çŃij": 108570, + "Û±Û´": 108571, + "Ġinclu": 108572, + "Ġê²ĮìŀĦ": 108573, + "ÛĮستÙħ": 108574, + "Ġç©": 108575, + "ĠاÙĦÙĪÙĦاÙĬات": 108576, + "ilmektedir": 108577, + "ÃĮ": 108578, + "Ùİع": 108579, + "Ġaģır": 108580, + "è¡Ľ": 108581, + "Ġeski": 108582, + "ê°Ŀ": 108583, + "본ëĭ¤": 108584, + "人åijĺ": 108585, + "ÚĺÛĮ": 108586, + "Ġç¨": 108587, + "ĠмеÑģÑĤо": 108588, + "vů": 108589, + "à¥įरह": 108590, + "ĠطرØŃ": 108591, + "ĠابÙĨ": 108592, + "Ġhiss": 108593, + "оÑĢÑıд": 108594, + "ĠدÙģ": 108595, + "ÑĢиÑģÑĤ": 108596, + "à¸Ĭม": 108597, + "деÑĤ": 108598, + "à¹Ģหม": 108599, + "ë§ĪìĤ¬ì§Ģ": 108600, + ":.:.:": 108601, + "éħ¸": 108602, + "ĠαÏģÏĩ": 108603, + "Ġnữ": 108604, + "ĠпоÑģад": 108605, + "lum": 108606, + "ìº": 108607, + "ãģ§ãģįãĤĭ": 108608, + "ìĸµ": 108609, + "ĠاÙĦÙħد": 108610, + "нÑĸм": 108611, + "راÙĤ": 108612, + "ĠãĥĪ": 108613, + "ĠodpovÄĽ": 108614, + "Ġbirbir": 108615, + "Ġhãy": 108616, + "овий": 108617, + "æ®ĭ": 108618, + "éĥ½æĺ¯": 108619, + "迪": 108620, + "Ġaraç": 108621, + "енÑĤÑĸв": 108622, + "æĬ±": 108623, + "dál": 108624, + "ĠÄIJông": 108625, + "Ġhesap": 108626, + "ĠاÙĨساÙĨ": 108627, + "ĠÙĬÙĪÙħ": 108628, + "ĠÙĨÙĪر": 108629, + "åīĩ": 108630, + "çĹĽ": 108631, + "ĠÙĨÙĬ": 108632, + "алÑĮна": 108633, + "تباط": 108634, + "लब": 108635, + "Ġkomun": 108636, + "Ġsnad": 108637, + "åĽ£": 108638, + "رÙĬد": 108639, + "elopment": 108640, + "ĠиÑİ": 108641, + "à¥Ģ.": 108642, + "Ġkısa": 108643, + "ĠdeÄŁildir": 108644, + "à¹īาร": 108645, + "Ġsvého": 108646, + "Ġoblasti": 108647, + "ÑĪли": 108648, + "à¹Ģà¸Ĺà¸ŀ": 108649, + "ÑĢеÑĤÑĮ": 108650, + "ово": 108651, + "ĠíĤ¤": 108652, + "átky": 108653, + "ĠاÙĦÙģر": 108654, + "èĺŃ": 108655, + "ÏĦον": 108656, + "ĠÑģÑĤоиÑĤ": 108657, + "ÙħØŃ": 108658, + "Ġà¹Ħ": 108659, + "ĠÑĤебе": 108660, + "íģ´": 108661, + "ĠmÄĽla": 108662, + "æݧåĪ¶": 108663, + "ĠChủ": 108664, + "ìĬ¨": 108665, + "ÐIJТ": 108666, + "اجع": 108667, + "ìĻķ": 108668, + "ç©¿": 108669, + "олее": 108670, + "หลาย": 108671, + "Ġdvou": 108672, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 108673, + "ุà¸Ĥ": 108674, + "Ġboz": 108675, + "ิà¸Ļà¸Ħ": 108676, + "å¤Ł": 108677, + "Ġfaaliyet": 108678, + "ĠÄįÃŃs": 108679, + "ãģ»ãģ©": 108680, + "Ġ:/": 108681, + "кÑĸÑģÑĤÑĮ": 108682, + "Ġì¤Ģ": 108683, + "ÏģαÏĤ": 108684, + "Ġодно": 108685, + "æ¢ħ": 108686, + "Ñĥбли": 108687, + "ноз": 108688, + "à¹Įม": 108689, + "Ġvýrob": 108690, + "ĠκÏħ": 108691, + "ÅĻev": 108692, + "ÂłB": 108693, + "ůže": 108694, + "ä¼ļ社": 108695, + "ιβ": 108696, + "ÑĢованиÑı": 108697, + "Ġcev": 108698, + "ìĽĢ": 108699, + "álnÃŃch": 108700, + "ĠÑĢав": 108701, + "ç´§": 108702, + "åĢŁ": 108703, + "ĠÑŁ": 108704, + "ÙĪÙĨÙĬ": 108705, + "озÑı": 108706, + "Ġзов": 108707, + "Ġkolem": 108708, + "민êµŃ": 108709, + "ç¿Ĵ": 108710, + "ĠzamÄĽst": 108711, + "Ġìłij": 108712, + "ĠزÙĨ": 108713, + "ĠØ£Ùģ": 108714, + "Ġ먹": 108715, + "Ġtomto": 108716, + "Ġ첨ë¶Ģ": 108717, + "sage": 108718, + "ä¸įè¿ĩ": 108719, + "егод": 108720, + "ÑĢож": 108721, + "ĠпÑĢоÑĨед": 108722, + "à¹Įà¸Ļ": 108723, + "sanız": 108724, + "âĢŀØ·": 108725, + "æ´»åĬ¨": 108726, + "оÑĩки": 108727, + "보기": 108728, + "åŁºæľ¬": 108729, + "-Ñħ": 108730, + "лоÑģÑı": 108731, + "ĠÙĩÛĮÚĨ": 108732, + "ìĹĶ": 108733, + "Ñĩного": 108734, + "Ġà¤Ĺर": 108735, + "Ġà¤ħà¤Ĺ": 108736, + "ãħĭãħĭãħĭãħĭ": 108737, + "ĠãĤ¸": 108738, + "اسة": 108739, + "åĬĩ": 108740, + "à¹īà¸ĩ": 108741, + "Ġ커": 108742, + "nými": 108743, + "ãĥ¬ãĤ¹": 108744, + "åĭĴ": 108745, + "ĠоблаÑģÑĤÑĸ": 108746, + "ĠдÑĸÑıлÑĮноÑģÑĤÑĸ": 108747, + "ãĥ¬ãĤ¤": 108748, + "Ïĩαν": 108749, + "à¹Īาส": 108750, + "ĠФÑĢан": 108751, + "ÙĩÙĦ": 108752, + "lardır": 108753, + "ØŃات": 108754, + "ůst": 108755, + "ĠводÑĭ": 108756, + "ĠدÙĪÙĦت": 108757, + "ĠÑģпеÑĨÑĸ": 108758, + "Ġthất": 108759, + "à¸Ńาหาร": 108760, + "éłĺ": 108761, + "Ġtercih": 108762, + "ĠÏĢÏģοÏĥ": 108763, + "ĠÅĻÃŃzenÃŃ": 108764, + "è§īå¾Ĺ": 108765, + "Ġdnes": 108766, + "еÑĩно": 108767, + "ãĥĺ": 108768, + "ĠداراÛĮ": 108769, + "ĠÅŁart": 108770, + "벤": 108771, + "Ġë¶ģ": 108772, + "еÑı": 108773, + "нÑıÑĤÑĮ": 108774, + "ĠkvÄĽt": 108775, + "ĠتغÛĮÛĮر": 108776, + "é¾į": 108777, + "ĠرÙĨÚ¯": 108778, + "ï¼Įåı¯": 108779, + "Ġpiyas": 108780, + "Ġuygulan": 108781, + "ÙİØ©": 108782, + "بÙĬر": 108783, + "иваÑĤÑĮ": 108784, + "ĠíĹĪ": 108785, + "丶": 108786, + "è¿ĻäºĽ": 108787, + "Ġگر": 108788, + "罪": 108789, + "ä¸Ģæł·": 108790, + "Ġãĥª": 108791, + "Ġвой": 108792, + "Ġsosyal": 108793, + "ุà¸Ĺà¸ĺ": 108794, + "หมà¸Ķ": 108795, + "ç»Ŀ": 108796, + "ĠاÙĦجÙħ": 108797, + "Ġثبت": 108798, + "ĠجÙĨÚ¯": 108799, + "лении": 108800, + "ваÑı": 108801, + "ĠвоÑĤ": 108802, + "伤": 108803, + "Ġหล": 108804, + "ĠÙħÙĤاÙĦÙĩ": 108805, + "мÑĸнÑĸ": 108806, + "ìĺ¬": 108807, + "Ñĩий": 108808, + "ĠÙħÚ©": 108809, + "à¹Ĥà¸Ľà¸£": 108810, + "krv": 108811, + "ĠÃŃch": 108812, + "ÏīÏĥη": 108813, + "екÑĤоÑĢ": 108814, + "Як": 108815, + "ĠpÃŃs": 108816, + "ĠÃĸzel": 108817, + "ĠtÆ°á»Ľng": 108818, + "ĠÐĶо": 108819, + "διο": 108820, + "ูà¸Ķ": 108821, + "Ġtük": 108822, + "رÛĮÙĤ": 108823, + ".ÐĴ": 108824, + "ĠåIJĪ": 108825, + "ä¿Ĥ": 108826, + "Ġobdob": 108827, + "Ġistedi": 108828, + "ÑĪла": 108829, + "æľīä¸Ģ": 108830, + "ĠвклÑİÑĩа": 108831, + "ĠتØŃÙĤÛĮÙĤ": 108832, + "ĠÙĪÙĥ": 108833, + "ĠèĪ": 108834, + "ÆĴ": 108835, + "μεÏģ": 108836, + "Ġåģ": 108837, + "ĠìĹĨëĬĶ": 108838, + "Âłd": 108839, + "ĠBắc": 108840, + "à¸ģลาà¸ĩ": 108841, + "ĠÑĩÑĥв": 108842, + "Ġcấu": 108843, + "ĠHá»ĵ": 108844, + "ĠÙģاÛĮÙĦ": 108845, + "ÏĦηγοÏģ": 108846, + "ç±į": 108847, + "Ġبت": 108848, + "ĠобÑĢазом": 108849, + "æ±ī": 108850, + "èĦij": 108851, + "Ġgiản": 108852, + "εÏģγ": 108853, + "ĠÐľÑĸ": 108854, + "èĻ½çĦ¶": 108855, + "ĠKhi": 108856, + "Ñĩини": 108857, + "Ġà¤ħà¤Ĺर": 108858, + "íķĺë©°": 108859, + "ë²Ķ": 108860, + "ãģģ": 108861, + "виÑħ": 108862, + "ĠвÑģегда": 108863, + "Ġç¶": 108864, + "ÑģÑĤвенной": 108865, + "Ġyüksel": 108866, + "測": 108867, + "Ġsıras": 108868, + "ĠÏĢÏģÏİ": 108869, + "èĢ³": 108870, + "اÛĮر": 108871, + "دÙĪد": 108872, + "ĠAlman": 108873, + "Ġverdi": 108874, + "ĠاÙĦÙħج": 108875, + "ĠاÙĦتع": 108876, + "صة": 108877, + "Ġsıra": 108878, + "Äįin": 108879, + "ĠпеÑĢÑĪ": 108880, + "æĬĺ": 108881, + "ç©į": 108882, + "ĠÑĤоб": 108883, + "Ġï¾ī": 108884, + "ฬ": 108885, + "æĿĢ": 108886, + "iydi": 108887, + "ีà¸ŀ": 108888, + "çĵ¦": 108889, + "ĠавÑĤомоб": 108890, + "ä¸Ńæĸĩ": 108891, + "à¥Ĥद": 108892, + "ĠbÄĽhem": 108893, + "ĠPÅĻed": 108894, + "ãģĵãģĨ": 108895, + "ัà¸Ī": 108896, + "Ġï½Į": 108897, + "ĠÙĩاÙĬ": 108898, + "Ġsạch": 108899, + "æĸ¹éĿ¢": 108900, + "çķ°": 108901, + "ÑĥÑĢн": 108902, + "Ġvýsled": 108903, + "Ġthần": 108904, + "ï¼ĮæīĢ以": 108905, + "Ñĥка": 108906, + "íķĺëĭ¤": 108907, + "Ġबर": 108908, + "ĠжÑĸн": 108909, + "ÄįnÃŃho": 108910, + "ĠãģĮ": 108911, + "abı": 108912, + "vánÃŃ": 108913, + "æ´Ĺ": 108914, + "ĠиÑģÑĤоÑĢ": 108915, + "ìĿ´íĦ°": 108916, + "Ġелек": 108917, + "алаÑģÑı": 108918, + "Ġznám": 108919, + "ĠطرÙģ": 108920, + "Ġsektör": 108921, + "ê¹Ģ": 108922, + "ÙĪÙĤع": 108923, + "ĠÙħÙĥ": 108924, + "ÑĢежд": 108925, + "Ġknih": 108926, + "Ġتعداد": 108927, + "åįł": 108928, + "ÑģÑĮке": 108929, + "ĠçĶµ": 108930, + "京éĥ½": 108931, + "ĠراÛĮ": 108932, + "gın": 108933, + "ĠÙĨظاÙħ": 108934, + "ĠÎłÎ¿Î»": 108935, + "ä¸ĢèĪ¬": 108936, + "Ġstále": 108937, + "ĠиÑģÑģлед": 108938, + "Ġzpráv": 108939, + "ĠÑĩиÑģÑĤ": 108940, + "ãĥ¼ãĥŀ": 108941, + "ÐŀÑģ": 108942, + "ÑģÑĮкомÑĥ": 108943, + "ĠpÅĻiprav": 108944, + "ëĮĢíĸī": 108945, + "Ġhalk": 108946, + "çĪĨ": 108947, + "ãĢģãģĬ": 108948, + "ï¼ŁâĢĿĊĊ": 108949, + "éĢı": 108950, + "ç«ŀ": 108951, + "ниÑĨÑĮ": 108952, + "çĽĺ": 108953, + "à¹Ģà¸Ńà¸ĩ": 108954, + "ìŁģ": 108955, + "à¥ĩवल": 108956, + "ä¹ĭåIJİ": 108957, + "ãĥ«ãĥĪ": 108958, + "Ġstru": 108959, + "Ġ＿": 108960, + "ÎķÎĽ": 108961, + "hle": 108962, + "ĠÙĨÙĪØ´": 108963, + "ìĿµ": 108964, + "ĠÙħÙģ": 108965, + "æĪĸèĢħ": 108966, + "Ġöld": 108967, + "éĢĶ": 108968, + "ãĥ³ãĥĹ": 108969, + "íĺ¼": 108970, + "ĠuÄŁ": 108971, + "ĠÄijá": 108972, + "ĠvlastnÃŃ": 108973, + "ĠÙħجÙĦس": 108974, + "åįĶ": 108975, + "ÏĦικήÏĤ": 108976, + "Ġpovin": 108977, + "ůl": 108978, + "ĠاÙĦØŃÙĬ": 108979, + "Ġsmlou": 108980, + "ãĥĥãĥģ": 108981, + "ĠÙĥÙĨ": 108982, + "Ġchấp": 108983, + "èIJ¬": 108984, + "جب": 108985, + "?âĢľ": 108986, + "дав": 108987, + "รวม": 108988, + "Ùİد": 108989, + "ĠاÙĦدÙĪÙĦ": 108990, + "ĠëĦ¤ìĿ´íĬ¸": 108991, + "Ġà¤Ĩस": 108992, + "ظÙĬÙģ": 108993, + "ãĥ¼ãĥ©": 108994, + "ãģłãĤįãģĨ": 108995, + "ĠÙĪاØŃد": 108996, + "رÙĪس": 108997, + "Ġzákona": 108998, + "ĠпеÑĢеб": 108999, + "à¥Ģ-": 109000, + "à¹Īà¹Ħà¸Ķ": 109001, + "为äºĨ": 109002, + "ÎĻÎĿ": 109003, + "ĠìĽĶìĦ¸": 109004, + "สà¸Ńà¸ĩ": 109005, + "Ġæīĭ": 109006, + "ĠÐĴÑģе": 109007, + "à¹Ĥย": 109008, + "Ġkaldır": 109009, + "ÏĦÎŃÏĤ": 109010, + "Ġï¿£": 109011, + "ĠíĸĪëĭ¤": 109012, + "ãĤģãģŁ": 109013, + "ĠÄįer": 109014, + "cela": 109015, + "üsü": 109016, + "ê³³": 109017, + "ìĹIJëıĦ": 109018, + "زة": 109019, + "ãģªãĤĭ": 109020, + "ÙĪÛĮÙĨ": 109021, + "çīĽ": 109022, + "Ġvoj": 109023, + "ĠëĬIJ": 109024, + "ĠÙĥÙħ": 109025, + "æ³ī": 109026, + "зÑı": 109027, + "è£Ŀ": 109028, + "ĠØ¢ÙĦ": 109029, + "Ġανά": 109030, + "ÂłÐĴ": 109031, + "Ġyapıl": 109032, + "æıĽ": 109033, + "ĠÑģÑĥÑīеÑģÑĤв": 109034, + "Ġná»iji": 109035, + "ÙĪئ": 109036, + "ĠëĦ¤ìĿ´íĬ¸ìĺ¨": 109037, + "Ġpolitik": 109038, + "Å¡ka": 109039, + "ebilirsiniz": 109040, + "ldkf": 109041, + "ÑĥблÑĸ": 109042, + "Ġeoq": 109043, + "ĠÙħØŃصÙĪÙĦ": 109044, + "krvldkf": 109045, + "Ġeoqkrvldkf": 109046, + "ÏĥεÏīν": 109047, + "بÙĦغ": 109048, + "Įĵê¸Ģ": 109049, + "ĠÑģÑĢок": 109050, + "ĠUy": 109051, + "ĠNÄĽk": 109052, + "Ġдив": 109053, + "ãĤµãĤ¤": 109054, + "ĠìĤ¬ìĿ´": 109055, + "ĠéĹ": 109056, + "ĠбаÑĤÑĮ": 109057, + "ĠпеÑĢÑĸ": 109058, + "Âĸ": 109059, + "交éĢļ": 109060, + "енз": 109061, + "ÙĪست": 109062, + "ียà¸ļ": 109063, + "Ġà¸Īะ": 109064, + "ë¡Ģ": 109065, + "üfus": 109066, + "ÙijÙIJ": 109067, + "總": 109068, + "ัà¸Ķส": 109069, + "ê²Ģ": 109070, + "ĠÑĤиÑħ": 109071, + "ĠآزÙħ": 109072, + "Ġاض": 109073, + "ì¡´": 109074, + "ÙĴت": 109075, + "æĪ¸": 109076, + "ĠìŀĪìĿĦ": 109077, + "ĠçĶ·": 109078, + "ÑīÑĸ": 109079, + "ома": 109080, + "ĠاÙģزاÛĮØ´": 109081, + "ĠThông": 109082, + "ĠاجتÙħاعÛĮ": 109083, + "елÑİ": 109084, + "ĠÑħоÑĢоÑĪо": 109085, + "à¸łà¸²à¸©": 109086, + "Ġrám": 109087, + "御": 109088, + "ãĥ¼ãĥĦ": 109089, + "ĠLỼp": 109090, + "ĠØ´ÙĬ": 109091, + "Ġhiá»ĥm": 109092, + "θν": 109093, + "οÏħÏĥ": 109094, + "復": 109095, + "Ġúzem": 109096, + "à¹ģà¸ľ": 109097, + "å·¨": 109098, + "à¸Īà¸Ļ": 109099, + "گراÙĨ": 109100, + "ĠتÛĮÙħ": 109101, + "Ġilet": 109102, + "าà¸Ĥà¸Ńà¸ĩ": 109103, + "ĠتÙĪر": 109104, + "ĠдоговоÑĢ": 109105, + "Ġtento": 109106, + "вÑĥ": 109107, + "Ġзада": 109108, + "ĠstoletÃŃ": 109109, + "ÂłĠ": 109110, + "âĢĮاÙĦ": 109111, + "Ëĺ": 109112, + "ÅŁiv": 109113, + "нÑıÑĤи": 109114, + "ãĤīãĤĮãģŁ": 109115, + "ĠSb": 109116, + "ĠاÙĦÙħص": 109117, + "ĠУкÑĢаÑĹнÑĸ": 109118, + "ĠØ´Ú©": 109119, + "iếng": 109120, + "ÑĮÑĤе": 109121, + "è°¢": 109122, + "ĠÙħتÙĨ": 109123, + "ĠÑĢад": 109124, + "ĠÙħÙĪاد": 109125, + "ì±Ħ": 109126, + "顶": 109127, + "ĠboÅŁ": 109128, + "تÙĪر": 109129, + "ĠÄijáng": 109130, + "Ġkitap": 109131, + "Ġhodin": 109132, + "Ġtarihi": 109133, + "ãĤĦãĤĭ": 109134, + "ÑģÑĤеÑĢ": 109135, + "ĠÑħод": 109136, + "вание": 109137, + "ĠоÑģвÑĸ": 109138, + "ĠÑģиÑģÑĤемÑĭ": 109139, + "़न": 109140, + "Ïĩο": 109141, + "Ġåı°": 109142, + "oÅĻ": 109143, + "ç»ıæµİ": 109144, + "Ġä½ľ": 109145, + "ĠthuáºŃn": 109146, + "ĽĪ": 109147, + "Ġyalnız": 109148, + "alet": 109149, + "ì¦Ŀê¸Ī": 109150, + "ĠзаÑī": 109151, + "ĠекÑģп": 109152, + "âĦĸâĦĸ": 109153, + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 109154, + "ĠÚ¯ÙĪØ´": 109155, + "ãģ«åħ¥": 109156, + "ĠudÄĽl": 109157, + "Ġáº": 109158, + "à¤Ĩà¤Ī": 109159, + "âĢĮدÙĩ": 109160, + "æĤª": 109161, + "Ġtrò": 109162, + "æļĹ": 109163, + "λλην": 109164, + "ĠпÑĢизна": 109165, + "ĠسÛĮستÙħ": 109166, + "Ġà¤ħत": 109167, + "èo": 109168, + "è¿İ": 109169, + "ĠзÑĥб": 109170, + "ĠзаÑģоб": 109171, + "ĠسÙģ": 109172, + "ĠÙħاÙĨÙĨد": 109173, + "خش": 109174, + "vajÃŃ": 109175, + "nitÅĻ": 109176, + "æ¯Ĵ": 109177, + "æ¤į": 109178, + "ĠgiriÅŁ": 109179, + "ĠÄijáp": 109180, + "@n": 109181, + "оваÑĢи": 109182, + "Ġخدا": 109183, + "ĠvÄĽtÅ¡": 109184, + "ĠΣÏħ": 109185, + "ÙģØ©": 109186, + "аннÑıм": 109187, + "ĠÑĩлен": 109188, + "æĶ¯æĮģ": 109189, + "å¨ľ": 109190, + "lararası": 109191, + "ΡÎij": 109192, + "Ġziy": 109193, + "ĠêµIJìľ¡": 109194, + "Ġhá»ĵi": 109195, + "าà¸Ħาร": 109196, + "imleri": 109197, + "è³¼": 109198, + "ĠجÙĩاÙĨ": 109199, + "ĠÑĢозмÑĸ": 109200, + "ÑħÑĸв": 109201, + "γε": 109202, + "横": 109203, + "ÎĻÎijΣ": 109204, + "ç¶Ń": 109205, + "Ġbiraz": 109206, + "ĠÑĤакого": 109207, + "íĥĦ": 109208, + "ĠбÑĥдÑĥÑĤ": 109209, + "ĠÑĪвид": 109210, + "ĠнеÑģ": 109211, + "ĠÙħعÙĦÙĪÙħات": 109212, + "à¥ĩयर": 109213, + "ĠдвÑĥÑħ": 109214, + "å¿ħè¦ģ": 109215, + "å§Ĩ": 109216, + "Ġpohled": 109217, + "ìĬ¤íĦ°": 109218, + "Ġåįģ": 109219, + "Ġأب": 109220, + "веÑĢдж": 109221, + "Ġà¤ľà¤®": 109222, + "लत": 109223, + "åľ°åĮº": 109224, + "Ġ|[": 109225, + "ĠвмеÑģÑĤ": 109226, + "ĠکاÙħ": 109227, + "ĠãĥIJ": 109228, + "ãĥ¼ãĥĸ": 109229, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 109230, + "ĠìĥģíĴĪ": 109231, + "à¹Ģลย": 109232, + "Äįné": 109233, + "ĠÑģÑĢедÑģÑĤва": 109234, + "ĠÑĤаб": 109235, + "ĠÙħار": 109236, + "Ġhled": 109237, + "даÑĤ": 109238, + "ÙĪÛĮد": 109239, + "Ġãĥ©": 109240, + "Ġخد": 109241, + "è¤ĩ": 109242, + "ç§ĺ": 109243, + "Ġبرد": 109244, + "ĠÏĥαÏĤ": 109245, + "ÏİÏĥειÏĤ": 109246, + "æĿ¯": 109247, + "λÏį": 109248, + "宿": 109249, + "ĠëĤľ": 109250, + "ï»Ł": 109251, + "Ġözellikle": 109252, + "ĠконÑģ": 109253, + "ĠÙħغ": 109254, + "عÙĬ": 109255, + "à¹Įà¸ģ": 109256, + "ĠÙĬت": 109257, + "ĠÙħشاÙĩ": 109258, + "ĠThanh": 109259, + "à¤¾à¤ľà¤¨": 109260, + "¥¤": 109261, + "Ġvlá": 109262, + "ĠÙģض": 109263, + "ΤÎĻÎļ": 109264, + "ĠнаÑĥков": 109265, + "елем": 109266, + "ĠdÃłng": 109267, + "ĠгоÑģподаÑĢ": 109268, + "ÂłS": 109269, + "иÑĩеÑģкиÑħ": 109270, + "ĠتÙĨÙĩا": 109271, + "à¤ľà¤¨": 109272, + "Ġпан": 109273, + "åĨł": 109274, + "ĠëĤĺëĬĶ": 109275, + "tÃŃ": 109276, + "ä¸Ģèµ·": 109277, + "Ġlãnh": 109278, + "Âłv": 109279, + "ovým": 109280, + "زب": 109281, + "ĠجÙħعÛĮت": 109282, + "Ġæµ·": 109283, + "ĠоÑģÑĥÑīеÑģÑĤв": 109284, + "ãi": 109285, + "ائر": 109286, + "Ġë³ij": 109287, + "á»ĭnh": 109288, + "Ġsá»Ńa": 109289, + "à¥ĩà¤Ĥ।": 109290, + "ÄĽjÅ¡ÃŃ": 109291, + "ĠдÑĸÑĤ": 109292, + "Ġæĥ": 109293, + "mÄ±ÅŁtı": 109294, + "رØŃ": 109295, + "Ġì§Ģê¸Ī": 109296, + "妻": 109297, + "âĹĭ": 109298, + "Ġì§ĢìĹŃ": 109299, + "ÙĴÙĨ": 109300, + "ĠurÄįit": 109301, + "ÙĴÙħ": 109302, + "zÃŃ": 109303, + "èķ": 109304, + "ĠØ´ÙĪر": 109305, + "ĠKhông": 109306, + "ÛĮزÛĮ": 109307, + "Ġзг": 109308, + "Ġвне": 109309, + "ĠprávÄĽ": 109310, + "è«ĭ": 109311, + "اÙĬت": 109312, + "ัà¸ģร": 109313, + "Ġoldukça": 109314, + "ãĤģãĤĭ": 109315, + "ĠTây": 109316, + "ëĿ¼ìĿ¸": 109317, + "èĻķ": 109318, + "ĠsÆ°": 109319, + "Ġник": 109320, + "Ùł": 109321, + "اشÛĮÙĨ": 109322, + "elerde": 109323, + "ìĭľìķĦ": 109324, + "ĠÑĥмов": 109325, + "ĠçalÄ±ÅŁan": 109326, + "Ġë¸Ķ": 109327, + "ĠÑĤаким": 109328, + "ÑĢин": 109329, + "ĠØ®ÙĦ": 109330, + "ayd": 109331, + "Ġãĥ¡": 109332, + "ейÑĩаÑģ": 109333, + "Ġdoprav": 109334, + "ãģĵãģ¨ãģ¯": 109335, + "Ġì¶Ķì²ľ": 109336, + "延": 109337, + "Ġkı": 109338, + "åı¶": 109339, + "ÑĢиг": 109340, + "íħľ": 109341, + "çĶ³åįļ": 109342, + "ĠвеÑĤ": 109343, + "ĠпомоÑīÑĮÑİ": 109344, + "ĠاÙģراد": 109345, + "ÏĢει": 109346, + "à¹Ģสร": 109347, + "Ġgiám": 109348, + "éİ": 109349, + "hlas": 109350, + "manız": 109351, + "англ": 109352, + "Ġmuž": 109353, + "ÂłK": 109354, + "ÑĢедиÑĤ": 109355, + "设å¤ĩ": 109356, + "ιÏĥμ": 109357, + "Ġcải": 109358, + "ĠéĢļ": 109359, + "ĠÙĥار": 109360, + "Ġподоб": 109361, + "ĠмеÑĤал": 109362, + "ĠÑģаме": 109363, + "лÑĥÑĩ": 109364, + "åĤ³": 109365, + "ĠÙĪÙĩÙĪ": 109366, + "Ġéĩį": 109367, + "вий": 109368, + "æ³ģ": 109369, + "ĠæĿİ": 109370, + "ĠiliÅŁkin": 109371, + "ĠείÏĩε": 109372, + "çĬ¯": 109373, + "ÅĻejmÄĽ": 109374, + "èŃĺ": 109375, + "稱": 109376, + "μμα": 109377, + "ĠÙĦÛĮ": 109378, + "ÙĩاÙĬ": 109379, + "ĠопиÑģ": 109380, + "گرد": 109381, + "ĠгÑĢ": 109382, + "ĠAnimalia": 109383, + "ÐŁÐ¾": 109384, + "Ġbóng": 109385, + "ĠдеÑĤей": 109386, + "Ġlâu": 109387, + "ĠæķĻ": 109388, + "ĠпоÑıÑģ": 109389, + "ĠاÙĦØ¢": 109390, + "ัà¸Ļà¸ķ": 109391, + "Ġдев": 109392, + "ĠÑĨей": 109393, + "ÑĮв": 109394, + "æĥł": 109395, + "maları": 109396, + "imler": 109397, + "à¥Ī।ĊĊ": 109398, + "Ġном": 109399, + "zv": 109400, + "Ġà¸ģร": 109401, + "ĠpaylaÅŁ": 109402, + "Âłs": 109403, + "िसम": 109404, + "ÑģÑĤвеннÑĭÑħ": 109405, + "stoup": 109406, + "онÑĸ": 109407, + "stÃŃ": 109408, + "ĠØŃÚ©": 109409, + "ĠگرÙģت": 109410, + "าà¸Ħา": 109411, + "дÑı": 109412, + "ÙĦاث": 109413, + "Ġzdravot": 109414, + "ä¸ĬãģĴ": 109415, + "ãģ¼": 109416, + "elere": 109417, + "ظÙħ": 109418, + "ĠÑģвеÑĤ": 109419, + "оÑĢг": 109420, + "ç«¥": 109421, + "ĠпеÑĢеп": 109422, + "Ġमद": 109423, + "аза": 109424, + "å¦Ĥä½ķ": 109425, + "ÑģÑĮкÑĸй": 109426, + "ĠbÆ°á»Ľc": 109427, + "Ġgerekli": 109428, + "大家": 109429, + "Ġtrái": 109430, + "éģ©": 109431, + "ä¸Ń央": 109432, + "Ġphản": 109433, + "Ġعرض": 109434, + "ĠÙĥتاب": 109435, + "æĭ©": 109436, + "ÑĪего": 109437, + "帮": 109438, + "ĠÙĨÛĮاز": 109439, + "è¿·": 109440, + "à¸¸à¸Ľ": 109441, + "à¸´à¸Ľ": 109442, + "Ġدخ": 109443, + "ÏĦικÎŃÏĤ": 109444, + "ĠUz": 109445, + "ĠتÙĪÙħاÙĨ": 109446, + "ĠÙĪاÙĦØ£": 109447, + "ÅĻes": 109448, + "Ñijм": 109449, + "Ġå¸Ĥ": 109450, + "ĠÑĤоже": 109451, + "Ġyapan": 109452, + "彼女": 109453, + "ĠÙħدر": 109454, + "¶ģ": 109455, + "ĠæŶ": 109456, + "à¹Ģà¸ĺ": 109457, + "ĠÙħاÙĦ": 109458, + "ĠBüyük": 109459, + "ĠÙĦت": 109460, + "å°ļ": 109461, + "deme": 109462, + "üb": 109463, + "ĠÑħÑĥд": 109464, + "Ġléka": 109465, + "缼": 109466, + "缴æİ¥": 109467, + "ниÑĨÑĤва": 109468, + "ĠпÑĢиÑĩин": 109469, + "еÑĢап": 109470, + "ĠÑģозда": 109471, + "械": 109472, + "Ġmüz": 109473, + "ç³»åĪĹ": 109474, + "ouz": 109475, + "Ġà¤ĵर": 109476, + "ÑĢÑĥÑĩ": 109477, + "Ġá½": 109478, + "μÎŃνα": 109479, + "ĠпÑĢедмеÑĤ": 109480, + "Ġå²": 109481, + "ãĥ³ãĥģ": 109482, + "μÎŃνη": 109483, + "лÑĥг": 109484, + "Âłn": 109485, + "ĠTarih": 109486, + "ĠãĢĪ": 109487, + "Ġbana": 109488, + "ĠcÃŃ": 109489, + "Ġvýkon": 109490, + "åĽłæѤ": 109491, + "ĠtÅĻi": 109492, + "าà¸ĭ": 109493, + "vailable": 109494, + "Ġistem": 109495, + "ãĥ¥ãĥ¼": 109496, + "ÐķÐĿ": 109497, + "ĠгаÑĢ": 109498, + "οÏħλ": 109499, + "à¥Ľ": 109500, + "ĠÙĪضع": 109501, + "สะ": 109502, + "è·Ŀ": 109503, + "ĠØŃÙģ": 109504, + "ิà¸Ĺยาล": 109505, + "她çļĦ": 109506, + "нÑĸÑĪ": 109507, + "жение": 109508, + "기ìĹIJ": 109509, + "Ġéĺ¿": 109510, + "ĠÙħارس": 109511, + "ĠçeÅŁitli": 109512, + "ĠÅŁehir": 109513, + "átor": 109514, + "à¹īà¸Ĺ": 109515, + "ìĿ´ëĬĶ": 109516, + "Ġè²": 109517, + "é¡į": 109518, + "çĻĤ": 109519, + "ĠниÑĩ": 109520, + "Ġê°Ģì§Ģ": 109521, + "伦": 109522, + "rán": 109523, + "ostat": 109524, + "ĠÙĦÙĥ": 109525, + "èº": 109526, + "ĠNgÃłnh": 109527, + "Ġसद": 109528, + "æľĹ": 109529, + "çĦ¶åIJİ": 109530, + "ãĤ¸ãĤ§": 109531, + "леÑĢ": 109532, + "ĠÐŀна": 109533, + "سÙĪÙĨ": 109534, + "Ïģον": 109535, + "ĠدرÛĮاÙģت": 109536, + "à¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļ": 109537, + "Ġdál": 109538, + "ĠмÑĸÑģÑĨе": 109539, + "Ġдней": 109540, + "ĠاÙĦات": 109541, + "Ġरहत": 109542, + "ï¼Į对": 109543, + "è³ĩæĸĻ": 109544, + "ä»»ä½ķ": 109545, + "éĦ": 109546, + "taj": 109547, + "βά": 109548, + "Ġнадо": 109549, + "ĠÑģÑĤÑĥд": 109550, + "ĠÅŁeh": 109551, + "ัà¸įà¸į": 109552, + "à¥ĭब": 109553, + "ãĥ©ãĥ¼": 109554, + "Û±Ûµ": 109555, + "ept": 109556, + "Ġbildir": 109557, + "สà¸ĸาà¸Ļ": 109558, + "еÑĤÑĮÑģÑı": 109559, + "ským": 109560, + "ĠоблаÑģÑĤÑĮ": 109561, + "Ġìŀł": 109562, + "ĠGör": 109563, + "Ġdayan": 109564, + "ĠÛĮاد": 109565, + "çĶŁäº§": 109566, + "íĺij": 109567, + "å¾ģ": 109568, + "Ġاجر": 109569, + "ĠпÑĢе": 109570, + "ä¸īä¸īä¸īä¸ī": 109571, + "åŁİå¸Ĥ": 109572, + "ĠпÑĢимеÑĢ": 109573, + "Äįást": 109574, + "èģĺ": 109575, + "ĠÙħربÙĪØ·": 109576, + "æŀļ": 109577, + "åĪĢ": 109578, + "æŁ¥çľĭ": 109579, + "Ġ모ëijIJ": 109580, + "ìŀIJë£Į": 109581, + "-､": 109582, + "Ġê°ĻìĿ´": 109583, + "Ġì¡´": 109584, + "егоÑĢ": 109585, + "edik": 109586, + "имÑĥ": 109587, + "ĠArth": 109588, + "åºĶçĶ¨": 109589, + "miÅŁti": 109590, + "Ġkhá»ıe": 109591, + "ĠÑĸд": 109592, + "λλη": 109593, + "âh": 109594, + "маг": 109595, + "éļĨ": 109596, + "ĠвнÑĥÑĤÑĢ": 109597, + "Ġبط": 109598, + "(æĹ¥": 109599, + "Ä°Y": 109600, + "лик": 109601, + "ĠBản": 109602, + "ĠتÙĪس": 109603, + "़त": 109604, + "amak": 109605, + "åķıé¡Į": 109606, + "ĠÑģамоÑģÑĤ": 109607, + "ï¼¼Ċ": 109608, + "Ġç¦ı": 109609, + "Ù¡": 109610, + "ĠÑĦоÑĢми": 109611, + "ĠÑĢозÑĥм": 109612, + "ĠÙħطاÙĦ": 109613, + "ä¹Łæĺ¯": 109614, + "ç¾İåĽ½": 109615, + "ëĵľë¦½ëĭĪëĭ¤": 109616, + "ĠlÄ©nh": 109617, + "ĠпоÑĤомÑĥ": 109618, + "ÑıбÑĢÑı": 109619, + "漫": 109620, + "Ġngoại": 109621, + "à¸Ńำ": 109622, + "ÙĬÙĨا": 109623, + "Ġmlad": 109624, + "ÏĥÏĦά": 109625, + "اتر": 109626, + "주ìĿĺ": 109627, + "еннÑĸ": 109628, + "оза": 109629, + "ÙĤات": 109630, + "ĠÐĴаÑģ": 109631, + "è®Ń": 109632, + "éIJ": 109633, + "ÑĥÑİÑĩи": 109634, + "Ġکر": 109635, + "Ġ.|": 109636, + "Ġgenç": 109637, + "該": 109638, + "ä»ģ": 109639, + "одÑĭ": 109640, + "ĠØ£ÙĪÙĦ": 109641, + "ĠìĤ¬íļĮ": 109642, + "Ġà¹Ģส": 109643, + "ĠëķĮ문ìĹIJ": 109644, + "âĢĮب": 109645, + "ĠлиÑĪÑĮ": 109646, + "Ġименно": 109647, + "madı": 109648, + "ĠéĤ": 109649, + "ĠÙĪارد": 109650, + "Ġtakım": 109651, + "Ġà¹Ģห": 109652, + "Ġà¸Ńย": 109653, + "Ġkonusu": 109654, + "Ø®ÙĪ": 109655, + "ĠÑģид": 109656, + "赤": 109657, + "оÑıÑĤелÑĮ": 109658, + "ëĭµ": 109659, + "εÏī": 109660, + "ÑĸÑħ": 109661, + "Ġयद": 109662, + "ĠÚ©ÛĮÙģ": 109663, + "μοÏĤ": 109664, + "Ġaldı": 109665, + "ĠíĻį": 109666, + "кÑĥп": 109667, + "ĠÙĨÙħاÛĮØ´": 109668, + "ãģ¥": 109669, + "Ġíķ©ëĭĪëĭ¤": 109670, + "ĠëĮĵê¸Ģ": 109671, + "боÑĢа": 109672, + "éīĦ": 109673, + "Ġà¹Ģà¸Ī": 109674, + "à¹īà¸ģ": 109675, + "§ط": 109676, + "ربÙĩ": 109677, + "ĠÑĥз": 109678, + "ĠмаÑİÑĤÑĮ": 109679, + "Ġbyli": 109680, + "ีà¸ķ": 109681, + "Ġì§ĢìĽIJ": 109682, + "èĩªçĦ¶": 109683, + "ùy": 109684, + "ĠçaÄŁ": 109685, + "един": 109686, + "ëī´": 109687, + "åį±": 109688, + "ĠпозволÑı": 109689, + "ØŃاد": 109690, + "ĠÑĩего": 109691, + "ียร": 109692, + "Ġyöntem": 109693, + "Ġders": 109694, + "ĠÑģÑĤоÑı": 109695, + "ĠкÑĢÑĥп": 109696, + "Ġð": 109697, + "ĠдомаÑĪ": 109698, + "енд": 109699, + "继": 109700, + "ĠÄijô": 109701, + "ĠchtÄĽ": 109702, + "计åĪĴ": 109703, + "ÎŃα": 109704, + "ĠdobÅĻe": 109705, + "สà¸Ńà¸ļ": 109706, + "еление": 109707, + "ĠÄijông": 109708, + "ãģ¾ãĤĬ": 109709, + "Ġboyunca": 109710, + "à¥ģà¤Ĺ": 109711, + "ĠÑĦиз": 109712, + "ãĤ³ãĥ³": 109713, + "Ġdeney": 109714, + "ÑĩеÑģкиÑħ": 109715, + "λον": 109716, + "以åıĬ": 109717, + "اÙĪت": 109718, + "³³³³³": 109719, + "Ġì¤Ħ": 109720, + "िफ": 109721, + "ĠÑĤол": 109722, + "ĠëĤ´ê°Ģ": 109723, + "âĸı": 109724, + "Ġphá": 109725, + "ĠÑģпÑĸв": 109726, + "ĠجÙħÙĬع": 109727, + "ĠbezpeÄį": 109728, + "ĠæĹł": 109729, + "ĠvÅ¡e": 109730, + "ÑģÑĤвÑĥ": 109731, + "dust": 109732, + "oÅ¡": 109733, + "ĠتارÙĬØ®": 109734, + "اØŃØ©": 109735, + "ĠÙħشارÙĥØ©": 109736, + "Ġακ": 109737, + "ัà¸Ļà¸Ļ": 109738, + "éģĬ": 109739, + "ĠÑģоÑĤ": 109740, + "Ġказ": 109741, + "ĠÑĤеÑĩение": 109742, + "긴": 109743, + "acaktır": 109744, + "ê±°ëĤĺ": 109745, + "ียม": 109746, + "ĠÑģÑĥÑħ": 109747, + "ĠëĦĪ무": 109748, + "ãģıãĤĭ": 109749, + "ĠкоÑĤоÑĢой": 109750, + "اÙĤØ©": 109751, + "yıl": 109752, + "ãĤ»ãĥĥãĥĪ": 109753, + "ĠÑįлем": 109754, + "æģIJ": 109755, + "ÙĨاء": 109756, + "åħ©": 109757, + "ĠteÄı": 109758, + "严": 109759, + "Ġì§Ī문": 109760, + "Ġ为": 109761, + "ìĭľíĹĺ": 109762, + "ĠпÑĢок": 109763, + "ujeme": 109764, + "ücü": 109765, + "ĠاÙĦÙħغ": 109766, + "ĠØŃساب": 109767, + "ãģĹãģ¦ãģĦ": 109768, + "кова": 109769, + "ĠÄijÃło": 109770, + "ĠпÑĢиз": 109771, + "ĠÙĪÙħÙĨ": 109772, + "ĠоÑĢ": 109773, + "à¸ģà¸ķ": 109774, + "аÑĦ": 109775, + "Ġà¸ŀร": 109776, + "ÑĨией": 109777, + "æª": 109778, + "Ġpůsob": 109779, + "åŃ©åŃIJ": 109780, + "Ġbánh": 109781, + "ĠÑĦоÑĢмÑĥ": 109782, + "Ġá»ķ": 109783, + "Ġменее": 109784, + "à¹īาห": 109785, + "ниÑĨа": 109786, + "ีĊ": 109787, + "ĠволоÑģ": 109788, + "ĠارائÙĩ": 109789, + "第ä¸ī": 109790, + "ëIJĺìĹĪ": 109791, + "Ġkısm": 109792, + "ãĥ¼ãĥĬ": 109793, + "lerimiz": 109794, + "ÙĨÙĬÙĨ": 109795, + "ĠNgÆ°á»Ŀi": 109796, + "ĠоÑĤдел": 109797, + "çļĦæŶåĢĻ": 109798, + "онов": 109799, + "Äįan": 109800, + "izm": 109801, + "ĠÑģобой": 109802, + "à¹ĩà¸ķ": 109803, + "ĠÑģлÑĸд": 109804, + "Ġà¤ľà¤¹": 109805, + "ï¼ĮæĪij们": 109806, + "ãĢĤãģĿãģ®": 109807, + "ÏĢÏīÏĤ": 109808, + "çĨŁ": 109809, + "ฯ": 109810, + "ëĦIJ": 109811, + "æľĭ": 109812, + "Ġë¹Ħë°Ģ": 109813, + "ëįķ": 109814, + "ĠmÃłn": 109815, + "ìĿ´ê³ł": 109816, + "ëŀľëĵľ": 109817, + "éĤĦ": 109818, + "Ä±ÅŁÄ±k": 109819, + "Ġ个": 109820, + "Ġnád": 109821, + "бÑĢа": 109822, + "æĮĩå®ļ": 109823, + "larıyla": 109824, + "ĠÐŀни": 109825, + "Ġhra": 109826, + "ĠÑĢеÑĨеп": 109827, + "ĠÐłÐ¾ÑģÑģий": 109828, + "å½±åĵį": 109829, + "ĠKdyž": 109830, + "ĠÃ¶ÄŁrenc": 109831, + "åīµ": 109832, + "Ġjist": 109833, + "èĪĪ": 109834, + "触": 109835, + "åıijçİ°": 109836, + "มาย": 109837, + "erken": 109838, + "ĠздеÑģÑĮ": 109839, + "ĠÙħسئ": 109840, + "@nate": 109841, + "ĠëĤ´ìļ©": 109842, + "ĠnabÃŃd": 109843, + "ÛĢ": 109844, + "ĠмоменÑĤ": 109845, + "ãģłãģĮ": 109846, + "ίδα": 109847, + "Tak": 109848, + "Ġë³´ê³ł": 109849, + ":::::::::": 109850, + "ÄŁmen": 109851, + "ĠпомеÑī": 109852, + "ãģ«ãģ¤ãģĦãģ¦": 109853, + "ĠÙģÙĪÙĤ": 109854, + "ĠعضÙĪ": 109855, + "ĠÙħÛĮاÙĨ": 109856, + "Ġmüc": 109857, + "ĠпÑĢоÑıв": 109858, + "ÑĩеÑģки": 109859, + "ãģłãģĭãĤī": 109860, + "éĤ¦": 109861, + "Ġë¶ĦìĦĿ": 109862, + "飩": 109863, + "į¨": 109864, + "ĠDaha": 109865, + "ĠκÏĮ": 109866, + "ĠнаÑĩина": 109867, + "ĠÐŁÐ¾ÑĤ": 109868, + "ÏĥκεÏħ": 109869, + "ĠÑĢан": 109870, + "ÙĪÙĬس": 109871, + "::::::::::": 109872, + "Û±Û¹Û¹": 109873, + "Ġardından": 109874, + "à¹Ĥà¸Ķ": 109875, + "اراÙĨ": 109876, + "داد": 109877, + "Ġquý": 109878, + "ĠØ£Ùĥثر": 109879, + "âĹĨ": 109880, + "ĠأخرÙī": 109881, + "Ġë§ĪìĿĮ": 109882, + "릴": 109883, + "ĠعÙĦÙĪÙħ": 109884, + "ĠeÄŁ": 109885, + "воÑĢÑİ": 109886, + "ĠãĥĹ": 109887, + "ÑĥÑĩаÑģ": 109888, + "Ġبأ": 109889, + "ÏĨο": 109890, + "никами": 109891, + "à¹ĥà¸ķ": 109892, + "ÄįetnÄĽ": 109893, + "à¸ļาà¸ĩ": 109894, + "çīĻ": 109895, + "ãĥªãĤ«": 109896, + "íĴ": 109897, + "åĩºçīĪ": 109898, + "γι": 109899, + "ãĢĤãģĿãĤĮ": 109900, + "Ġyani": 109901, + "lech": 109902, + "ĠLuáºŃt": 109903, + "çļĦãģª": 109904, + "Ġnedeniyle": 109905, + "dej": 109906, + "ĠÑģовеÑĢÑĪ": 109907, + "Ġphá»ķ": 109908, + "ısından": 109909, + "Ġchắc": 109910, + "deÅŁ": 109911, + "Ġкоман": 109912, + "æĽ¿": 109913, + "Ġplán": 109914, + "Ġdữ": 109915, + "ĠêµŃê°Ģ": 109916, + "Ġtakip": 109917, + "Ġthủy": 109918, + "ÑģлÑĸд": 109919, + "âī§": 109920, + "ĠIIC": 109921, + "θÏħ": 109922, + "ávat": 109923, + "ĠÑģок": 109924, + "ĠбагаÑĤо": 109925, + ";:;:;:;:": 109926, + "ÏģιοÏĤ": 109927, + "ilmiÅŁtir": 109928, + "Ġznam": 109929, + "ĠΤα": 109930, + "amaz": 109931, + "à¹ģà¸ŀ": 109932, + "ãĥģãĥ£": 109933, + "Ġkullanı": 109934, + "æĶ¾éĢģ": 109935, + "дн": 109936, + "ĠÙĪاب": 109937, + "Ġtrắng": 109938, + "ÑģÑıг": 109939, + "Ġارتباط": 109940, + "ĠвÑħод": 109941, + "å·ŀå¸Ĥ": 109942, + "Ġसत": 109943, + "ÑĩаеÑĤÑģÑı": 109944, + "íĮĮíĬ¸": 109945, + "ĠNhững": 109946, + "ä¸įåı¯": 109947, + "å±Ĭ": 109948, + "ĠãĤŃ": 109949, + "ارÙĩاÛĮ": 109950, + "ĠarÅŁiv": 109951, + "ĠاÙĦÙī": 109952, + "ायà¤ķ": 109953, + "ãģĹãĤĩãģĨ": 109954, + "Ġulus": 109955, + "alaxy": 109956, + "기ê°Ģ": 109957, + "ãİ¡(": 109958, + "μάÏĦÏīν": 109959, + "èn": 109960, + "ùi": 109961, + "ĠнаÑģÑĤоÑı": 109962, + "ĠСв": 109963, + "ĠоÑģоби": 109964, + "ково": 109965, + "ĠÑĢебенка": 109966, + "ĠÑĤÑıж": 109967, + "Ġxuá»ijng": 109968, + "Ġê¶Į": 109969, + "огод": 109970, + "Ġấy": 109971, + "è²ł": 109972, + "วà¸Ļ": 109973, + "Ġstanov": 109974, + "Ġkrál": 109975, + "Ġà¤ĩसल": 109976, + "ebe": 109977, + "宾": 109978, + "ĠдоÑģÑĤаÑĤоÑĩно": 109979, + "IIIK": 109980, + "ÏĢά": 109981, + "Ġbirkaç": 109982, + "ĠاÙĦÙħÙĤ": 109983, + "ãĥ¶": 109984, + "ĠBaÅŁkanı": 109985, + "Ġ첨ë¶ĢíĮĮìĿ¼": 109986, + "Ġyarar": 109987, + "亡": 109988, + "ĠÏĢÏĮ": 109989, + "ÂłÑģ": 109990, + "δή": 109991, + "elerini": 109992, + "Ġsuç": 109993, + "Ġдома": 109994, + "ĠнаÑĢÑĥÑĪ": 109995, + "Ġί": 109996, + "Ġê·¸ìĿĺ": 109997, + "çĶµå½±": 109998, + "ابÙĩ": 109999, + "комÑĥ": 110000, + "Ġतब": 110001, + "à¥Īà¤ł": 110002, + "Ġ모ì§ij": 110003, + "Ġæ±Ł": 110004, + "Ġê²ĥìĿĢ": 110005, + "ονÏĦαι": 110006, + "ĠاÙĦرÙĬاض": 110007, + "許": 110008, + "Ġhalinde": 110009, + "ĠاشارÙĩ": 110010, + "ĠкÑĢÑĭ": 110011, + "лений": 110012, + "luÄŁ": 110013, + "Ġdobu": 110014, + "sik": 110015, + "à¥ģà¤Ł": 110016, + "ĠкÑĸн": 110017, + "ãģ¨ãģį": 110018, + "à¥Ĥस": 110019, + "æħ¢": 110020, + "ĠdÄ±ÅŁÄ±nda": 110021, + "ç·ı": 110022, + "ĠbÃŃ": 110023, + "ĠCLIIIK": 110024, + "ĠIICIII": 110025, + "Ġherk": 110026, + "ãĤıãģĽ": 110027, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 110028, + "³³³³³³": 110029, + "اÙĦد": 110030, + "Ġdavran": 110031, + "Äįer": 110032, + "ĠØŁ": 110033, + "ãģĺãĤĥãģªãģĦ": 110034, + "Ġdair": 110035, + "Ġ": 110036, + "ัà¸ĩส": 110037, + "Ġëĭ´": 110038, + "å¾ŀ": 110039, + "ĠÑįÑĤиÑħ": 110040, + "诺": 110041, + "á»·": 110042, + "еÑĢиÑģÑĤи": 110043, + "овÑĭÑħ": 110044, + "Ġãĥĩ": 110045, + "ضÙĬ": 110046, + "Ġà¤īà¤ł": 110047, + "ĠnapÅĻÃŃklad": 110048, + "è´Ŀ": 110049, + "ĠÅ¡k": 110050, + "ĠبÙĪدÙĨد": 110051, + "vůli": 110052, + "éģĩ": 110053, + "Ġзнай": 110054, + "ĠTham": 110055, + "rani": 110056, + "اØŃت": 110057, + "Ø´Ùĩ": 110058, + "мÑĸнÑĸÑģÑĤÑĢа": 110059, + "à¹ĭ": 110060, + "ĠÎijνα": 110061, + "à¥ĭà¤ļ": 110062, + "ç»Ħç»ĩ": 110063, + "ÑģÑĤиÑĤ": 110064, + "imli": 110065, + "åIJįçĦ¡ãģĹãģķãĤĵ": 110066, + "ÙijØ©": 110067, + "θμ": 110068, + "олоÑĤ": 110069, + "ยà¸ĩ": 110070, + "ãĤīãĤĮãĤĭ": 110071, + "ĠлиÑĩ": 110072, + "овÑĭе": 110073, + "éĢĥ": 110074, + "Ġ广": 110075, + "ìĬ¬": 110076, + "ÙħÛĮÙĨ": 110077, + "ĠìłĦì²´": 110078, + "ĠÎŃÏĩ": 110079, + "Ġì±ħ": 110080, + "Ġhlas": 110081, + "екÑĤив": 110082, + "ĠÏĢλη": 110083, + "luÄŁu": 110084, + "好çļĦ": 110085, + "ĠÚĨÙĪÙĨ": 110086, + "ĠBeled": 110087, + "Ġengel": 110088, + "нÑıÑı": 110089, + "ĠyaÅŁan": 110090, + "ÑĩниÑħ": 110091, + "ارÙĬØ©": 110092, + "मत": 110093, + "ãĥĭãĥĭãĥĭãĥĭ": 110094, + "åĭ¢": 110095, + "ĠåĨħ": 110096, + "Ġíı¬íķ¨": 110097, + "ĠобÑģ": 110098, + "Ġthấp": 110099, + "Ġdây": 110100, + "ãĥĸãĥ©": 110101, + "аÑĤÑĭ": 110102, + "ĠÑģвоей": 110103, + "ãĤīãģªãģĦ": 110104, + "åıijçĶŁ": 110105, + "erece": 110106, + "Ġodbor": 110107, + "ĠвнеÑģ": 110108, + "ĠÄIJảng": 110109, + "ĠëıĮìķĦ": 110110, + "ÄĽli": 110111, + "ısında": 110112, + "Ġबदल": 110113, + "vnÃŃ": 110114, + "ãģ®ãģ«": 110115, + "ĠпоÑĤом": 110116, + "imde": 110117, + "alama": 110118, + "âĢª": 110119, + "ĠstejnÄĽ": 110120, + "еÑĢе": 110121, + "éĴ¢": 110122, + "æľºæŀĦ": 110123, + "Ġè³": 110124, + "åĶ±": 110125, + "Ġëħ¸ì¶ľ": 110126, + "Ġлибо": 110127, + "âĢĬ": 110128, + "Ġcez": 110129, + "romÄĽ": 110130, + "ίÏīν": 110131, + "ÏĨή": 110132, + "ĠíĻ©": 110133, + "Ġdlouh": 110134, + "骨": 110135, + "åħ¬éĩĮ": 110136, + "伸": 110137, + "Ġãĥij": 110138, + "ä»Ļ": 110139, + "Ġolmadı": 110140, + "елиÑĩ": 110141, + "ождениÑı": 110142, + "Ġsöyledi": 110143, + "átek": 110144, + "ìĥµ": 110145, + "ยวà¸ģ": 110146, + "Ġ鼻": 110147, + "Ġпев": 110148, + "ĠдÑĢÑĥгие": 110149, + "átku": 110150, + "ĠعÙĪ": 110151, + "ována": 110152, + "ضر": 110153, + "ĠëģĿ": 110154, + "ĠíĨµíķ´": 110155, + "Îĸ": 110156, + "Ġvur": 110157, + "åĨ²": 110158, + "ĠпÑĢек": 110159, + "Ġपà¤ķ": 110160, + "Ġà¹Ģà¸Ĺ": 110161, + "ãģ¨ãģĭ": 110162, + "عÙĨ": 110163, + "å®ĩ": 110164, + "ÏĦζ": 110165, + "Ġnằm": 110166, + "ĠÑģвоб": 110167, + "ĠδÏį": 110168, + "çĸĹ": 110169, + "-й": 110170, + "é¦Ļ港": 110171, + "تا": 110172, + "Ïĥιμο": 110173, + "íķĦ": 110174, + "Ġ详æĥħ": 110175, + "両": 110176, + "ÙİاÙĦ": 110177, + "ĠTrÆ°á»Ŀng": 110178, + "eného": 110179, + "ĠÑĢекомендÑĥ": 110180, + "ÛĮرÙĩ": 110181, + "าà¸ĸ": 110182, + "ĠکاÙħÙĦ": 110183, + "بط": 110184, + "زÛĮÙĨÙĩ": 110185, + "Ġдолжна": 110186, + "Ġë§İìĿĢ": 110187, + "âĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹı": 110188, + "lepÅ¡ÃŃ": 110189, + "алог": 110190, + "ãĤªãĥ³": 110191, + "Ġë³Ħ": 110192, + "ırı": 110193, + "ĠجاÙħعÙĩ": 110194, + "æĽľ": 110195, + "ojÃŃ": 110196, + "ĠÑĪлÑıÑħ": 110197, + "Ġhızlı": 110198, + "ĠخصÙĪص": 110199, + "ÐIJÑĢ": 110200, + "åľĺ": 110201, + "ĠживоÑĤ": 110202, + "é±": 110203, + "Ġngữ": 110204, + "Ġvòng": 110205, + "èİ«": 110206, + "ĠзаÑħод": 110207, + "ìĻĦ": 110208, + "ĠÑģледÑĥÑİÑī": 110209, + "éĹ»": 110210, + "ÑijÑĢ": 110211, + "ĠchvÃŃ": 110212, + "èĥľ": 110213, + "ãģªãģĹ": 110214, + "Ġteknoloj": 110215, + "ejména": 110216, + "ĠìłĪ": 110217, + "ì³IJ": 110218, + "æĻ®éĢļ": 110219, + "Ġvýro": 110220, + "Ġayrı": 110221, + "ĠпÑĢев": 110222, + "Ġgóp": 110223, + "à¹Ĥà¸ģ": 110224, + "à¸Ĺำà¹ĥห": 110225, + "åıİ": 110226, + "åĺī": 110227, + "Ġtelev": 110228, + "ãģ¨ãģĵãĤį": 110229, + "ëıĮ": 110230, + "phyl": 110231, + "ราะ": 110232, + "ĠçĪ": 110233, + "ÑģÑĤиÑĤÑĥ": 110234, + "ï¼Įè¿ĺ": 110235, + "ĠÎijγ": 110236, + "Äįku": 110237, + "æı´": 110238, + "ायत": 110239, + "æıı": 110240, + "ãĤĤãģĹ": 110241, + "ĠпеÑĢеÑģ": 110242, + "ĠìĺģíĻĶ": 110243, + "idla": 110244, + "åİħ": 110245, + "ï¼ı:": 110246, + "ترÛĮ": 110247, + "à¸Ľà¸ı": 110248, + "ĠнаÑģеленнÑı": 110249, + "Ġamaç": 110250, + "Ġkdo": 110251, + "ĠизвеÑģÑĤ": 110252, + "ÑĪиÑĢ": 110253, + "ì£ł": 110254, + "Å¡it": 110255, + "Ġtá»ijc": 110256, + "ìŀIJìĿĺ": 110257, + "ÑĩаÑĤ": 110258, + "åıĥ": 110259, + "鼶": 110260, + "å°º": 110261, + "Ġindir": 110262, + "ĠнаÑĨÑĸоналÑĮ": 110263, + "Ġxanh": 110264, + "ÛĮدÛĮ": 110265, + "ĠинÑĤеÑĢеÑģ": 110266, + "ĠآسÛĮ": 110267, + "éĤ£ä¸ª": 110268, + "Ġbilm": 110269, + "ане": 110270, + "ĠtÄĽchto": 110271, + "Ñĩик": 110272, + "ĠдоÑħод": 110273, + "èĤ¡ä»½": 110274, + "åħ³ç³»": 110275, + "ãģ«ãģªãģ£ãģŁ": 110276, + "ĠпÑĢедпÑĢи": 110277, + "Ġgeçen": 110278, + "ĠبÙĤ": 110279, + "Ġvýznam": 110280, + "Ġà¹Ģà¸Ħร": 110281, + "ĠÑħÑĤо": 110282, + "Ø´ÙĬ": 110283, + "åıĤåĬł": 110284, + "ÑģÑĤвенного": 110285, + "ÑĤÑĢон": 110286, + "ÂĢÂĢÂĢÂĢ": 110287, + "æ¢Ŀ": 110288, + "бав": 110289, + "Û±Û¶": 110290, + "顺": 110291, + "Ġjaz": 110292, + "ĠاÙĦÙħÙĦ": 110293, + "Ġاثر": 110294, + "ĠпÑĢивод": 110295, + "анÑĥ": 110296, + "à¥ģà¤Ń": 110297, + "æŧ": 110298, + "ÑĮе": 110299, + "สล": 110300, + "лÑıÑİÑĤ": 110301, + "วà¸Ķ": 110302, + "Æ°á»Ľi": 110303, + "ÙĬÙħØ©": 110304, + "ãĤ¯ãĥŃ": 110305, + "лий": 110306, + "γÏģά": 110307, + "Ġperforman": 110308, + "è¯ī": 110309, + "ä½łçļĦ": 110310, + "ìħĶ": 110311, + "нениÑı": 110312, + "á»Ńi": 110313, + "ÙĪزÛĮ": 110314, + "éŁ¿": 110315, + "à¥Īद": 110316, + "Ġ몸": 110317, + "Ġeser": 110318, + "ĠÙģعاÙĦÛĮت": 110319, + "нÑĸвеÑĢ": 110320, + "κÏģα": 110321, + "証": 110322, + "Ġnemoc": 110323, + "Ġyardımcı": 110324, + "Ġçī¹": 110325, + "Ġкоп": 110326, + "ĠÐľÐ¾Ð¶": 110327, + "़à¤ķ": 110328, + "Ġëľ": 110329, + "ĠÑĢеак": 110330, + "Ġpozor": 110331, + "ÂłÐIJ": 110332, + "ĠÙĬÙĥ": 110333, + "ĠÑģад": 110334, + "Ġåħ«": 110335, + "ĠполÑĮз": 110336, + "ĠraÄŁmen": 110337, + "ternÃŃ": 110338, + "siyon": 110339, + "ÑģÑıÑĩ": 110340, + "ovaný": 110341, + "ĠëĮĢíķľë¯¼êµŃ": 110342, + "ĠвÑĸдб": 110343, + "ĠÐIJнд": 110344, + "stva": 110345, + "éĮĦ": 110346, + "Ġëij": 110347, + "ิà¸Ħ": 110348, + "jÃŃt": 110349, + "Ġkullanıcı": 110350, + "ĠæŁ¥çľĭ": 110351, + "ÙģÙĦ": 110352, + "ĠЯкÑīо": 110353, + "çľĭåĪ°": 110354, + "ÑĢеÑħ": 110355, + "ĠاÙĦعربÙĬØ©": 110356, + "ë¡ľê·¸ëŀ¨": 110357, + "Ġà¤¬à¤ľ": 110358, + "ĠпÑĢип": 110359, + "Ġschop": 110360, + "ĠباÙĦا": 110361, + "å®ħ": 110362, + "ĠاÙĦÙħÙĩ": 110363, + "ανα": 110364, + "à¥ĭव": 110365, + "åģ´": 110366, + "å¼Ģåıij": 110367, + "ÙħاÙĦ": 110368, + "Ġधर": 110369, + "Ġdahil": 110370, + "ãĢģãģĵãģ®": 110371, + "ัà¸Īà¸Ī": 110372, + "ÑģпÑĸлÑĮ": 110373, + "Ġà¤ķप": 110374, + "ĠвеÑĩ": 110375, + "Ġвида": 110376, + "ĠÙħعÙĨ": 110377, + "ĠоÑĤли": 110378, + "iá»ħ": 110379, + "лиÑĪ": 110380, + "ĠÐŁÐ¾Ñģле": 110381, + "ãģĵãģĵ": 110382, + "Ġkültür": 110383, + "Ġجر": 110384, + "Ġæ¼": 110385, + "èĩº": 110386, + "Ġmevcut": 110387, + "Ù¾ÛĮ": 110388, + "ĠاÙĦسÙĦاÙħ": 110389, + "иÑĤелей": 110390, + "ĠÑĢоÑģÑĤ": 110391, + "Ġedil": 110392, + "Ġå·²": 110393, + "ç²¾åĵģ": 110394, + "ä»ħ": 110395, + "âĢĻye": 110396, + "à¥Īà¤Ĥ.": 110397, + "ĠåĨĨ": 110398, + "ëĪĦ": 110399, + "ĠìĻķ": 110400, + "æĺŃ": 110401, + "ĠÎļο": 110402, + "meden": 110403, + "Ġolab": 110404, + "ĠÚ©ÙĪد": 110405, + "à¸Ħาส": 110406, + "еннаÑı": 110407, + "æĬ¼": 110408, + "ylül": 110409, + "Ġseviy": 110410, + "ĠdÄĽti": 110411, + "âĢ¬Ċ": 110412, + "Ġعز": 110413, + "Ġuá»ijng": 110414, + "ĠسرÙħ": 110415, + "ене": 110416, + "ĠмаленÑĮ": 110417, + "ĠвÑĸдом": 110418, + "ัà¸ļà¸Ĺ": 110419, + "ĠThái": 110420, + "Ġà¤Ĩवश": 110421, + "roveÅĪ": 110422, + "çĽ£": 110423, + "ĠÑıзÑĭ": 110424, + "ĠOy": 110425, + "å£ģ": 110426, + "ваÑĤÑĮ": 110427, + "ладÑĥ": 110428, + "اصÙĦ": 110429, + "otÅĻeb": 110430, + "دÙĬØ«": 110431, + "íı°": 110432, + "νομ": 110433, + "гоÑĢод": 110434, + "Ġmuh": 110435, + "âĢĻl": 110436, + "ÑģÑĤвоÑĢ": 110437, + "åħĦ": 110438, + "ÐķÐł": 110439, + "Ø·ÙĦ": 110440, + "éľĩ": 110441, + "Ùİت": 110442, + "ĠblÃŃ": 110443, + "Ġedildi": 110444, + "éĿł": 110445, + "äºĮåįģ": 110446, + "æĹĹ": 110447, + "Ġçiz": 110448, + "ĠÄijảo": 110449, + "Ġopat": 110450, + "oÄŁan": 110451, + "ë²Į": 110452, + "Ġéł": 110453, + "Ġsebep": 110454, + "ÑĥÑĤи": 110455, + "åĪº": 110456, + "طب": 110457, + "evÅ¡ÃŃm": 110458, + "chop": 110459, + "çĶļ": 110460, + "Ġnghá»ģ": 110461, + "ĠпаÑĢÑĤ": 110462, + "ุà¸Ħ": 110463, + "Ú©ÛĮÙĦ": 110464, + "dum": 110465, + "Ġortak": 110466, + "ãģŁãģĹ": 110467, + "Ġobyvatel": 110468, + "Ġvých": 110469, + "Ġveren": 110470, + "ĠвеÑģÑĮ": 110471, + "ĠÐĶа": 110472, + "Ġíķĺì§Ģë§Į": 110473, + "å¦ĤæѤ": 110474, + "Ġमहत": 110475, + "ัà¸ĩà¸ģฤษ": 110476, + "ãĢĤè¿Ļ": 110477, + "Ġгал": 110478, + "Ġsanat": 110479, + "éłĨ": 110480, + "ĠÑģамо": 110481, + "åĽ°": 110482, + "ีà¸Ń": 110483, + "ĠBaÅŁkan": 110484, + "ÏĦοÏħÏĤ": 110485, + "Ġyaptıģı": 110486, + "ÅĻit": 110487, + "ĠÑģÑĸлÑĮ": 110488, + "ानत": 110489, + "ĠÙĨت": 110490, + "ĠkhÄĥn": 110491, + "à¸Ĭà¸Ļะ": 110492, + "мини": 110493, + "ãĥ¬ãĥ¼": 110494, + "ëĤ¬": 110495, + "éħĴåºĹ": 110496, + "ĠاÙĦÙĬÙĪÙħ": 110497, + "ä¹Ĺ": 110498, + "à¸Ħรà¸ĩà¸ģาร": 110499, + "ÙģاÙĤ": 110500, + "Ġà¤ıस": 110501, + "Ġæ¡": 110502, + "گذ": 110503, + "Ġà¤ĩल": 110504, + "елениÑı": 110505, + "à¸ģรà¸ĵ": 110506, + "ä¸ľè¥¿": 110507, + "ÎŁÎľ": 110508, + "ĠmáºŃt": 110509, + "ĠsnÃŃ": 110510, + "ÂIJ": 110511, + "à¹Ģรา": 110512, + "íķ´ìķ¼": 110513, + "ĠìĦľë¹ĦìĬ¤": 110514, + "ĠداخÙĦ": 110515, + "Ġthắng": 110516, + "íĥĪ": 110517, + "авÑģÑı": 110518, + "ĠÑĸм": 110519, + "اÙħت": 110520, + "ĠÙĪÙĤت": 110521, + "à¥Ĥà¤ģ": 110522, + "ĠèIJ": 110523, + "ĠسÙĦاÙħ": 110524, + "ĠvzdÄĽl": 110525, + "å¸ĮæľĽ": 110526, + "åŃĺæ¡£": 110527, + "Ġà¸Ĺำ": 110528, + "ĠвÑĸйÑģÑĮ": 110529, + "аÑĢан": 110530, + "ĠÑĢÑĸк": 110531, + "ĠпиÑģÑĮ": 110532, + "Ġá¼IJ": 110533, + "기ëıĦ": 110534, + "ĠпоÑģÑĤоÑıн": 110535, + "ĠåĮĹ京": 110536, + "ĠNÄĽm": 110537, + "Ø´ÙĨاÙħÙĩ": 110538, + "ĠdalÅ¡ÃŃch": 110539, + "Ġباع": 110540, + "Ġpohy": 110541, + "اÙĦÙģ": 110542, + "à¸ŀวà¸ģ": 110543, + "éĭ": 110544, + "Ġcih": 110545, + "Ù¢": 110546, + "临": 110547, + "ãĤ¯ãĥĪ": 110548, + "пнÑı": 110549, + "Ġдал": 110550, + "ÙĴر": 110551, + "ãĢĢãĢĢĠãĢĢĠãĢĢ": 110552, + "æĬ¥åijĬ": 110553, + "ÙĪدÛĮ": 110554, + "ợi": 110555, + "ÑĨÑĸÑĶÑİ": 110556, + "ĠãĥĢ": 110557, + "ĠÑģÑĤеп": 110558, + "raž": 110559, + "ĠSaÄŁ": 110560, + "Ġtuyến": 110561, + "Ġalmak": 110562, + "ĠзаболеваниÑı": 110563, + "ĠÏĥÏĩ": 110564, + "Ġíĭ": 110565, + "Ġвим": 110566, + "硬": 110567, + "ĠäºĶ": 110568, + "Ġikinci": 110569, + "ุà¸į": 110570, + "สาว": 110571, + "ĠìĦ¸ê³Ħ": 110572, + "ĠÙħØŃÙĦ": 110573, + "ระหว": 110574, + "Ġelektron": 110575, + "Ġhại": 110576, + "æĹ¢": 110577, + "Ġíĸ¥": 110578, + "Ġjiné": 110579, + "Ġnghe": 110580, + "æij©": 110581, + "ĠÑģобÑĸ": 110582, + "Ư": 110583, + "ÑĤÑĥÑĢ": 110584, + "汽车": 110585, + "شاÙĩ": 110586, + "ĠdÃłnh": 110587, + "丹": 110588, + "ä»ĬæĹ¥": 110589, + "ãĥIJãĥ¼": 110590, + "ваниÑı": 110591, + "ĠساÙħ": 110592, + "çݯå¢ĥ": 110593, + "ĠاÙĦÙħÙĨت": 110594, + "ĠÑģеÑĢд": 110595, + "éģł": 110596, + "εÏĦ": 110597, + "ĠавÑĤ": 110598, + "าà¸ĩว": 110599, + "Ġvztah": 110600, + "ruž": 110601, + "алÑĮнаÑı": 110602, + "ĠطراØŃÛĮ": 110603, + "à¹Ĥรà¸ĩà¹ģรม": 110604, + "ĠÄįasto": 110605, + "Ġê¼": 110606, + "ÏĥÏĦÏĮ": 110607, + "Ġburada": 110608, + "ĠÄ°z": 110609, + "Ġê·¸ëŀĺ": 110610, + "å²Ľ": 110611, + "ĠØ´ÙĪÙĨد": 110612, + "Å¡ek": 110613, + "ĠìĿ´ìķ¼": 110614, + "ãĤĮãģªãģĦ": 110615, + "ê·¹": 110616, + "lamÄ±ÅŁ": 110617, + "ä»į": 110618, + "cházet": 110619, + "ĠÑģÑĥÑĤ": 110620, + "æĹłæ³ķ": 110621, + "浦": 110622, + "ÄĽla": 110623, + "à¹ĥà¸Ļà¸Ĭ": 110624, + "Ġcân": 110625, + "ÎŁÎĵ": 110626, + "Ġzvý": 110627, + "Ġپار": 110628, + "ĠклÑĸ": 110629, + "Ġnové": 110630, + "çĶĺ": 110631, + "ë¹ł": 110632, + "má": 110633, + "ĠÑģол": 110634, + "à¤ķरण": 110635, + "ноÑĩ": 110636, + "Ġfik": 110637, + "Ġà¤ľà¤Ĺ": 110638, + "à¹ĩà¸Ļà¸ķ": 110639, + "ĠÙħتØŃ": 110640, + "Ġphiên": 110641, + "Ġolsun": 110642, + "Ġкаб": 110643, + "Ġhút": 110644, + "èĦ±": 110645, + "Ġåĸ": 110646, + "ĠHải": 110647, + "ĠtÄĽÅ¾": 110648, + "Ġthái": 110649, + "Ġتاب": 110650, + "-ÐŁ": 110651, + "ثار": 110652, + "çĨĬ": 110653, + "Ġними": 110654, + "Ġzprac": 110655, + "Ġतह": 110656, + "ĠмакÑģим": 110657, + "meyi": 110658, + "ĠÑģоÑĨи": 110659, + "æ²Ĵ": 110660, + "ĠìķĬëĬĶ": 110661, + "＿_": 110662, + "åķ¦": 110663, + "ĠاÙĨÙĪاع": 110664, + "æļ´": 110665, + "ä¸Ĭæµ·": 110666, + "åħ·æľī": 110667, + "à¥ģब": 110668, + "ìķĻ": 110669, + "Ġíģ°": 110670, + "Ġíŀĺ": 110671, + "Ġtránh": 110672, + "ियन": 110673, + "ãģ¾ãģ¾": 110674, + "поÑĩ": 110675, + "mÄĽr": 110676, + "å³°": 110677, + "ĠÙħصر": 110678, + "ĠÑįÑĦÑĦекÑĤив": 110679, + "Ġçı": 110680, + "leriyle": 110681, + "âĪļ": 110682, + "Ġì¶ķ": 110683, + "Ġê²Įìĭľ": 110684, + "ìĿij": 110685, + "ĠpoÅĻád": 110686, + "ĠشبکÙĩ": 110687, + "اÙĩØ´": 110688, + "ĠخدÙħات": 110689, + "ĠnaÅ¡e": 110690, + "νοÏį": 110691, + "Ġyönelik": 110692, + "Ġkork": 110693, + "اÙĩÙħ": 110694, + "è°Ī": 110695, + "Ġμη": 110696, + "Ġdolar": 110697, + "給": 110698, + "ĠÎķÏħ": 110699, + "ĠobdobÃŃ": 110700, + "ĠμÏĮ": 110701, + "à¹Ģà¸Ńà¸ģ": 110702, + "Ġپاسخ": 110703, + "è¡¥": 110704, + "اعد": 110705, + "ãĤīãģĦ": 110706, + "ÎŃλ": 110707, + "иÑĤÑĭ": 110708, + "Ġëħ¼": 110709, + "Ġ^{[": 110710, + "ίγ": 110711, + "æłij": 110712, + "lında": 110713, + "ĠìŬ룬": 110714, + "££": 110715, + "ÅĻil": 110716, + "ĠавÑĤоÑĢ": 110717, + "ÏĦικÏĮÏĤ": 110718, + "udur": 110719, + "ĠcÆ°": 110720, + "Ġkıy": 110721, + "Ñģем": 110722, + "ĠأبÙĪ": 110723, + "ÏĦικÏİν": 110724, + "Û±Û·": 110725, + "貸": 110726, + "ĠпÑĢож": 110727, + "üncü": 110728, + "ĠнÑĸÑĩ": 110729, + "Ġमत": 110730, + "ãģķãĤĮãģ¦ãģĦãĤĭ": 110731, + "اصر": 110732, + "ĠعÙĤ": 110733, + "ĠкаÑĩеÑģÑĤве": 110734, + "ĠÐĵеÑĢ": 110735, + "åºĨ": 110736, + "Ù¹": 110737, + "alarda": 110738, + "Ġپرس": 110739, + "иÑĩеÑģкой": 110740, + "Ġphim": 110741, + "ίνη": 110742, + "ä¸ĩåĨĨ": 110743, + "ilerini": 110744, + "ãĢģ大": 110745, + "Ġolsa": 110746, + "æł¹æį®": 110747, + "âĢĮس": 110748, + "ĠThủ": 110749, + "roje": 110750, + "нÑĮоÑĹ": 110751, + "Ġslou": 110752, + "ีฬ": 110753, + "ıyorum": 110754, + "ÄĽj": 110755, + "Ġخبر": 110756, + "è®Ĭ": 110757, + "Ġ缸": 110758, + "elerinin": 110759, + "íķĻëħĦëıĦ": 110760, + "ÑĩеÑģкие": 110761, + "ĠÅŁekl": 110762, + "ĠزÙħاÙĨÛĮ": 110763, + "Ġxin": 110764, + "ัà¸ģà¸ĩาà¸Ļ": 110765, + "ĠEkim": 110766, + "æĦ¿": 110767, + "Ġодной": 110768, + "νή": 110769, + "æľĢæĸ°": 110770, + "ĩ¼": 110771, + "Ġниж": 110772, + "Ġë³¼": 110773, + "è·ij": 110774, + "ĠнапиÑģ": 110775, + "èģĸ": 110776, + "ĠâĢĮ": 110777, + "æłĩåĩĨ": 110778, + "Ġvrát": 110779, + "ĠVì": 110780, + "ĠÙģراÙĨ": 110781, + "æĿ¥çļĦ": 110782, + "姿": 110783, + "ÑħÑĥ": 110784, + "ĠبÛĮرÙĪÙĨ": 110785, + "ĠдÑĥÑĪ": 110786, + "ваÑİÑĤ": 110787, + "Ġsebe": 110788, + "é»ĺ": 110789, + "Ġkayıt": 110790, + "Ïģθ": 110791, + "ãģ¨ãģ®": 110792, + "ĠпÑĢоÑĨеÑģÑģ": 110793, + "æĮģãģ¡": 110794, + "Ñĸна": 110795, + "ĠÑĤоÑĤ": 110796, + "ĠÑĤакие": 110797, + "Theo": 110798, + "ĠÙĨÛĮر": 110799, + "ÑĨÑĥ": 110800, + "Ġayak": 110801, + "à¸Ļà¸Ń": 110802, + "Ġsitesinde": 110803, + "ĠÚ©ÙĨÛĮÙħ": 110804, + "ĠÑģоÑħ": 110805, + "Ġà¤®à¤ľ": 110806, + "Ġoluyor": 110807, + "ç½ijåĿĢ": 110808, + "Ġپزش": 110809, + "ĠEylül": 110810, + "dÃ¼ÄŁ": 110811, + "ĠبرخÛĮ": 110812, + "ĠÙħعرÙģ": 110813, + "Ġobec": 110814, + "ĠçalÄ±ÅŁma": 110815, + "ìĦ¼íĦ°": 110816, + "ĠÑģвоÑĶ": 110817, + "оÑģÑĤей": 110818, + ":::::::::::": 110819, + "ĠалÑĮ": 110820, + "ç«Ł": 110821, + "ĠباشÙĨد": 110822, + "اÙĦØ«": 110823, + "Ġнайб": 110824, + "Ġпока": 110825, + "Îŀ": 110826, + "ĠÙĪØ¥": 110827, + "ĠØ®ÙĪاÙĨ": 110828, + "à¥ģपय": 110829, + "Ġà¹ĥห": 110830, + "ĠбÑĭÑģÑĤÑĢо": 110831, + "Ġthá»Ń": 110832, + "ëģ¼": 110833, + "Ġå¤ļ": 110834, + "两个": 110835, + "มà¸ķ": 110836, + "زارش": 110837, + "ĠëŁ": 110838, + "यह": 110839, + "Ñīина": 110840, + "ầng": 110841, + "ï½Ĺï½Ĺ": 110842, + "à¹Ģà¸ŀลà¸ĩ": 110843, + "tvrt": 110844, + "ĠÑĸнÑĪÑĸ": 110845, + "λεί": 110846, + "Ġviá»ĩn": 110847, + "ij¸": 110848, + "ĠçĻ½": 110849, + "ÙİÙĪ": 110850, + "Ġchứa": 110851, + "stvo": 110852, + "ĠdoÄŁr": 110853, + "Ġiler": 110854, + "à¥ĭ,": 110855, + "à¹ĥà¸Ļà¸Ľ": 110856, + "ĠرÙĪست": 110857, + "ÙĪÙĦÙĪ": 110858, + "Å¡lo": 110859, + "алиÑģÑĤ": 110860, + "åħ±åĴĮ": 110861, + "à¸ŀย": 110862, + "ĠìĻĢ": 110863, + "ÙĦÙĬÙĦ": 110864, + "ĠÑıкого": 110865, + "еÑģÑĤÑĮ": 110866, + "ĠÑĦин": 110867, + "ĠØ£ÙĨÙĩ": 110868, + "ĠMüdür": 110869, + "ĠÎĶια": 110870, + "ĠÑĤел": 110871, + "ि,": 110872, + "Ñĥки": 110873, + "ĠÐłÐ¤": 110874, + "ĠMayıs": 110875, + "à¹Īà¸Ńม": 110876, + "arken": 110877, + "æĢķ": 110878, + "بÛĮÙĨ": 110879, + "ÑĤаÑħ": 110880, + "ebo": 110881, + "ë³´ì¦Ŀê¸Ī": 110882, + "ĠÙ¾ÙĦ": 110883, + "ĠгÑĥб": 110884, + "ĠвклÑİÑĩ": 110885, + "æĶ¿æ²»": 110886, + "ĠεÏĢιÏĥ": 110887, + "ĠÙģارسÛĮ": 110888, + "èŃī": 110889, + "ÏĨη": 110890, + "(éĩij": 110891, + "ศร": 110892, + "åī§": 110893, + "âĢĻya": 110894, + "年度": 110895, + "ĠÙĨرÙħ": 110896, + "ÙĥÙĪÙħ": 110897, + "è¢ĭ": 110898, + "Ġnedenle": 110899, + "à¹īà¸Ńà¸ĩà¸ģาร": 110900, + "ãĢĮãģĤ": 110901, + "ĠпоÑģÑĤÑĥп": 110902, + "ìľĦìĽIJ": 110903, + "åįĺ": 110904, + "èݱ": 110905, + "Ġumož": 110906, + "pok": 110907, + "ÑĥÑģÑĤи": 110908, + "Ġéħ": 110909, + "ĠÑĦÑĸз": 110910, + "廣": 110911, + "ิหาร": 110912, + "ĠжÑĥÑĢн": 110913, + "ĠдÑĸÑĤей": 110914, + "ÑĥÑİÑīие": 110915, + "ä»Ĭ天": 110916, + "ìĿ´ëĿ¼ê³ł": 110917, + "ç²ī": 110918, + "èĴĻ": 110919, + "ĠDünya": 110920, + "егоднÑı": 110921, + "Ġmimo": 110922, + "Ġвин": 110923, + "ãģĿãģĵ": 110924, + "æ¯ķ": 110925, + "Ġأخ": 110926, + "ĠåIJĮ": 110927, + "ساÙĨÛĮ": 110928, + "Ġkah": 110929, + "ियर": 110930, + "ÏĢοÏĤ": 110931, + "jez": 110932, + "ÙĬج": 110933, + "ĠsaÄŁlay": 110934, + "اجÙĩ": 110935, + "Ġçł": 110936, + "ïľ": 110937, + "Ġجست": 110938, + "Ġtức": 110939, + "Æ°Æ¡i": 110940, + "Ø´Ùģ": 110941, + "สà¸ķ": 110942, + "ĠÑĢеÑģ": 110943, + "Ġå£": 110944, + "Ġbizim": 110945, + "Ġê·Ģ": 110946, + "िब": 110947, + "ë¡ľìļ´": 110948, + "ĠÑģÑĤал": 110949, + "ĠÑĢÑĥÑģ": 110950, + "ĠOcak": 110951, + "åľ£": 110952, + "ĠúÄįast": 110953, + "iverz": 110954, + "ëĤĺëĬĶ": 110955, + "оÑĢоÑĤ": 110956, + "ÑĩинÑĭ": 110957, + "Ġihtiyaç": 110958, + "ÐĿÐŀ": 110959, + "ĠÐĿов": 110960, + "ียà¸Ķ": 110961, + "ĠпоÑĤÑĢÑĸбно": 110962, + "گز": 110963, + "ĠÑģказал": 110964, + "ĠGia": 110965, + "mesini": 110966, + "Ġbulunur": 110967, + "渡": 110968, + "гоÑĤ": 110969, + "Ġhuku": 110970, + "ëĦ·": 110971, + "ãĨ": 110972, + "ĠاÙĥ": 110973, + "ĠدÙĦÛĮÙĦ": 110974, + "Ġاساس": 110975, + "ìĹ°êµ¬": 110976, + "ĠÎĺε": 110977, + "ĠسÙĪر": 110978, + "Ġì¢Ģ": 110979, + "ĠاÙĦدر": 110980, + "ĠÑģÑĤÑĢоиÑĤелÑĮ": 110981, + "ĠÑĥк": 110982, + "ĠìĻľ": 110983, + "елик": 110984, + "OVID": 110985, + "Ġtemiz": 110986, + "亦": 110987, + "Ġthiếu": 110988, + "ĠпÑĥÑĤ": 110989, + "ÑİÑīей": 110990, + "ĠurÄį": 110991, + "ĠÄIJây": 110992, + "極": 110993, + "μοÏħ": 110994, + "Ġà¹Ģà¸Ļ": 110995, + "евеÑĢ": 110996, + "ÂłÐĶ": 110997, + "ì´Ŀ": 110998, + "趣": 110999, + "Ġà¤ħलà¤Ĺ": 111000, + "Æ°á»Ŀn": 111001, + "ĠãĥŃ": 111002, + "Ġê³³": 111003, + "é²ģ": 111004, + "ĠرسÛĮد": 111005, + "身ä½ĵ": 111006, + "ัà¸ĵà¸ij": 111007, + "ynÃŃ": 111008, + "جات": 111009, + "ì§Ģ를": 111010, + "नल": 111011, + "ìķĮ": 111012, + "Ñĸп": 111013, + "ĠvÃłng": 111014, + "ĠплоÑī": 111015, + "озмож": 111016, + "åī²": 111017, + "Ġthảo": 111018, + "лади": 111019, + "ĠåĿ": 111020, + "ĠÐľÐ¸": 111021, + "ĠделаÑĤÑĮ": 111022, + "éij": 111023, + "Ġhuy": 111024, + "اÛĮØ·": 111025, + "ĠповÑĤоÑĢ": 111026, + "ülen": 111027, + "ĠÙĪÙģ": 111028, + "ĠÙĬتÙħ": 111029, + "ĠÑĢежим": 111030, + "ĠìºIJ": 111031, + "ĠÃĩünkü": 111032, + "عدد": 111033, + "нивеÑĢ": 111034, + "ĠÐĿик": 111035, + "å¸ĸ": 111036, + "ÏįÏĢ": 111037, + "anlar": 111038, + "ستÛĮ": 111039, + "Ġbulunmaktadır": 111040, + "à¹ģà¸ļ": 111041, + "vek": 111042, + "Ġглаза": 111043, + "å¹ħ": 111044, + "Ġúdaj": 111045, + "ĠгÑĢо": 111046, + "ĠконкÑĥÑĢ": 111047, + "Ġdůležit": 111048, + "ĠØ·ÙĪر": 111049, + "à¸ĺาà¸Ļ": 111050, + "ĠÙĦÙĥÙĨ": 111051, + "رÙĤ": 111052, + "ÐļÐIJ": 111053, + "ĠéĿĴ": 111054, + "ĠìĤ¬ëŀij": 111055, + "ĠÑħвоÑĢ": 111056, + "sunuz": 111057, + "ĠÙħشخص": 111058, + "éĻ¸": 111059, + "Ġढ": 111060, + "Ġvaz": 111061, + "交æĺĵ": 111062, + "ĠÑĤеÑĢÑĢиÑĤ": 111063, + "ÑĩеÑģкой": 111064, + "ีà¹Ĥ": 111065, + "ropoda": 111066, + "ıldıģı": 111067, + "Ġëī´": 111068, + "íķĻ기": 111069, + "ë³´íĹĺ": 111070, + "ĠзаÑĤем": 111071, + "ÂłÐ²": 111072, + "ãĥ¼ãĥĨ": 111073, + "ĠÐŀÑģнов": 111074, + "ãĨį": 111075, + "Ġدع": 111076, + "ÐŁÐ¾Ñģ": 111077, + "æ²ī": 111078, + "Ġлож": 111079, + "çĶµåŃIJ": 111080, + "Ġرد": 111081, + "ĠÑģÑĢазÑĥ": 111082, + "ejte": 111083, + "Ġà¤ijफ": 111084, + "ĠtÃłu": 111085, + "ÃŃk": 111086, + "lanması": 111087, + "каÑĤ": 111088, + "าà¸ģาศ": 111089, + "ãĤ¢ãĤ¤": 111090, + "ÏĦιο": 111091, + "Ġå§": 111092, + "पत": 111093, + "EY": 111094, + "Ġjmé": 111095, + "Ġodkazy": 111096, + "Ġê°ľìĿ¸": 111097, + "éģ¿": 111098, + "bÄĽh": 111099, + "ÐłÐŀ": 111100, + "çĥĪ": 111101, + "Ġzarar": 111102, + "Ú¯ÙĪÙĨÙĩ": 111103, + "Ġtrì": 111104, + "Ġmại": 111105, + "еннÑĭм": 111106, + "ĠÑįконом": 111107, + "éĽ£": 111108, + "ĠíĦ": 111109, + "æİī": 111110, + "Ġsoru": 111111, + "ĠФедеÑĢаÑĨии": 111112, + "ĠÑģиÑģÑĤеми": 111113, + "æĸĻçĦ¡æĸĻ": 111114, + "Ġà¤ķà¤Ń": 111115, + "ĠÙĩÙĨد": 111116, + "ุà¸ĩà¹Ģà¸Ĺà¸ŀ": 111117, + "ĠOsmanlı": 111118, + "ĠпÑĢодолж": 111119, + "ĠÙĪÙĦا": 111120, + "ĠÄįlánku": 111121, + "Ġadım": 111122, + "ĠÏĢαÏģά": 111123, + "ĠzáÅĻÃŃ": 111124, + "Ġà¸Īำà¸ģ": 111125, + "Ġпен": 111126, + "menin": 111127, + "Ġìĺ¤ëĬĺ": 111128, + "emiz": 111129, + "οÏįÏĤ": 111130, + "-स": 111131, + "íķĺìĭľ": 111132, + "ĠÑħви": 111133, + "ãĤ°ãĥ©": 111134, + "ĠпоÑĪ": 111135, + "ĠÐŀднако": 111136, + "Ñĸдно": 111137, + "íĺľ": 111138, + "Ñīими": 111139, + "èĥ¸": 111140, + "ĠÄ°lk": 111141, + "mey": 111142, + "Ġзда": 111143, + "κλη": 111144, + "алом": 111145, + "à¹Ģศษ": 111146, + "اÙĨا": 111147, + "ĠÎŁÎ¹": 111148, + "ĠåıĮ": 111149, + "ีà¸Ĥ": 111150, + "Ġبس": 111151, + "è§Ħå®ļ": 111152, + "isay": 111153, + "ukarı": 111154, + "æµģéĩı": 111155, + "vÃŃm": 111156, + "λÏİ": 111157, + "ä¹Ļ": 111158, + "Ġलड": 111159, + "ĠÙĨدارد": 111160, + "еÑĢом": 111161, + "Ġsırasında": 111162, + "ĠrÄĥng": 111163, + "Æ¡m": 111164, + "Ġlạnh": 111165, + "à¤ĥ": 111166, + "à¥ģण": 111167, + "uzey": 111168, + "ĠÑĥва": 111169, + "vÄĽd": 111170, + "ÑĭÑģ": 111171, + "Ġκι": 111172, + "Ñķ": 111173, + "ÛĮا": 111174, + "à¸ĩà¸Ħ": 111175, + "phylum": 111176, + "Ġberaber": 111177, + "ีà¸Ķ": 111178, + "æµ®": 111179, + "ासन": 111180, + "ovice": 111181, + "覧": 111182, + "Ġसफ": 111183, + "å°ij女": 111184, + "анÑĤи": 111185, + "é¨ĵ": 111186, + "Ġsoát": 111187, + "鬼": 111188, + "lanmÄ±ÅŁ": 111189, + "Ġbếp": 111190, + "ÙIJÙĦ": 111191, + "Ġsayısı": 111192, + "ĠÙĤدÙħ": 111193, + "à¥Īम": 111194, + "हम": 111195, + "ĠÑĢÑĥки": 111196, + "ĠصÙģØŃÙĩ": 111197, + "Å¡ky": 111198, + "é»Ĵ": 111199, + "èģļ": 111200, + "ãģĭãģ«": 111201, + "Ġsâu": 111202, + "едаг": 111203, + "ĠÑģÑĤоÑĢонÑĭ": 111204, + "Ġruk": 111205, + "âĢĮâĢĮ": 111206, + "ĠØ¢ÙĪر": 111207, + "ĠعدÙħ": 111208, + "õi": 111209, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 111210, + "Ġبازار": 111211, + "Ġedeb": 111212, + "ĠvÄįetnÄĽ": 111213, + "опаÑģ": 111214, + "Ġнег": 111215, + "mayan": 111216, + "коÑģÑĤÑĮ": 111217, + "Ġsvůj": 111218, + "ģında": 111219, + "Ø°ÛĮر": 111220, + "Má»Ļt": 111221, + "ÐĦ": 111222, + "Ġyaptı": 111223, + "िथ": 111224, + "ĠÙħÙĩر": 111225, + "ĠдоÑģÑĤи": 111226, + "ĠصÙĪر": 111227, + "mesine": 111228, + "ĠDân": 111229, + "ä¸Ģä¸ĭ": 111230, + "çįİ": 111231, + "ĠÐľÐ¸Ñħ": 111232, + "ĠоÑĩи": 111233, + "ãĤ¦ãĤ§": 111234, + "ĠÑĸÑģ": 111235, + "Ġgiác": 111236, + "åľ¨çº¿è§Ĥçľĭ": 111237, + "ĠاداÙħÙĩ": 111238, + "ÑĨов": 111239, + "ĠкомÑĥ": 111240, + "ĠÄ°ngiliz": 111241, + "ĠгÑĢаж": 111242, + "ãģ¦ãĤĤ": 111243, + "Ġchữ": 111244, + "олÑĮкÑĥ": 111245, + "mÄĽt": 111246, + "Ñıгом": 111247, + "ÑĩаÑģÑĤ": 111248, + "ìĸ¼": 111249, + "Ġkhóa": 111250, + "ĠÐIJд": 111251, + "ĠØ¢ÙĤ": 111252, + "ĠkuruluÅŁ": 111253, + "άζ": 111254, + "Ġжов": 111255, + "ĠвÑģÑĤÑĢе": 111256, + "ĠÙĪÙĦÙĥ": 111257, + "Ġtuyá»ĩt": 111258, + "yı": 111259, + "ĠÐĴо": 111260, + "Ġvá»įng": 111261, + "عÙĬØ©": 111262, + "ĠopÄĽt": 111263, + "اÙĬد": 111264, + "à¥Ī.Ċ": 111265, + "ĠÑģами": 111266, + "åªĴ": 111267, + "Ġsvých": 111268, + "ĠëĤĺíĥĢ": 111269, + "ìĨIJ": 111270, + "ĠÙĦع": 111271, + "Ġetkin": 111272, + "ĠNá": 111273, + "ĠsoutÄĽ": 111274, + "층ìĿĺ": 111275, + "ĠçŃī": 111276, + "ĠرسÙħ": 111277, + "ĠخاÙĨÙĩ": 111278, + "Ġ家": 111279, + "iá»ģm": 111280, + "ëħIJ": 111281, + "ê°Ī": 111282, + "ì°©": 111283, + "žil": 111284, + "ÑģÑĤиÑĤÑĥÑĤ": 111285, + "oruÄį": 111286, + "Ġإذا": 111287, + "à¹Ħà¸Ĥ": 111288, + "ีà¸Ĭ": 111289, + "ÑĢаб": 111290, + "íķĻìĥĿ": 111291, + "Ġìī": 111292, + "rnek": 111293, + "ĠاستخداÙħ": 111294, + "ãĢĢĠãĢĢĠãĢĢĠãĢĢ": 111295, + "ĠвÑģем": 111296, + "ĠìłķëıĦ": 111297, + "Ġvyj": 111298, + "éĢ±": 111299, + "алÑĮное": 111300, + "Ġchuyá»ĩn": 111301, + "ì§ĢìĽIJ": 111302, + "ilerine": 111303, + "ĠìķĦ무": 111304, + "Ġоколо": 111305, + "ावन": 111306, + "à¸Ļา": 111307, + "опÑĢи": 111308, + "drž": 111309, + "ĠÑģÑĥÑģпÑĸлÑĮ": 111310, + "ĠبÙĥ": 111311, + "uky": 111312, + "ĠÏĩÏī": 111313, + "Ġtuần": 111314, + "nictvÃŃ": 111315, + "ĠÙĩدÙģ": 111316, + "Ġchiá»ģu": 111317, + "ÎĹÎĿ": 111318, + "å°ıå§IJ": 111319, + "íķĺìĺĢ": 111320, + "Ġklas": 111321, + "á»Ļn": 111322, + "ĠìĿ´íĽĦ": 111323, + "ÙĨاÙħج": 111324, + "Äįast": 111325, + "ĠاÙĦخاص": 111326, + "lÄ±ÅŁ": 111327, + "ĠعÙħر": 111328, + "ãĢįĊ": 111329, + "иболее": 111330, + "ãĤĬãģ®": 111331, + "ãħł": 111332, + "ä¹Łä¸į": 111333, + "кÑĢеÑĤ": 111334, + "ĠìĶ": 111335, + "ÏĦια": 111336, + "ĠÑĥпÑĢавлÑĸннÑı": 111337, + "æ²¢": 111338, + "Ġkesin": 111339, + "ì¡Įëĭ¤": 111340, + "머ëĭĪ": 111341, + "羣çļĦ": 111342, + "Ġbakım": 111343, + "æĿ±äº¬": 111344, + "¾¸": 111345, + "ÙħÙĦÙĥØ©": 111346, + "оÑĤÑĢеб": 111347, + "dın": 111348, + "ĠPÅĻi": 111349, + "ĠmÄĽli": 111350, + "Ġδημο": 111351, + "寸": 111352, + "ĠÙĪÙĥاÙĨ": 111353, + "Ġपढ": 111354, + "ĠвеÑĢÑħ": 111355, + "ĠеÑij": 111356, + "Cách": 111357, + "ä½ľä¸º": 111358, + "ĠÐļол": 111359, + "Ġве": 111360, + "ĠдеÑĢж": 111361, + "emoc": 111362, + "ãģ¸ãģ®": 111363, + "ĠаÑĢÑħ": 111364, + "Ġkiếm": 111365, + "Ġæĺİ": 111366, + "ĠлÑİдини": 111367, + "ë·": 111368, + "ĠÙĪاÙĦت": 111369, + "Ġè°": 111370, + "çģ¯": 111371, + "íĻķ": 111372, + "Ġ구매": 111373, + "Ġç§ij": 111374, + "itnÃŃ": 111375, + "иÑĩеÑģкие": 111376, + "ĠÙĨÙģس": 111377, + "ĠتÙĦÙģ": 111378, + "اÙģÛĮ": 111379, + "ĠØŃسÙĨ": 111380, + "âĸ¡âĸ¡": 111381, + "ývá": 111382, + "ģın": 111383, + "ıyoruz": 111384, + "ĠChÃŃ": 111385, + "ĠÙ¾ÚĺÙĪÙĩØ´": 111386, + "ĠÏĦÎŃ": 111387, + "ĠÏĥÏĩε": 111388, + "олеÑĤ": 111389, + "αιδ": 111390, + "Ġhạt": 111391, + "à¸łà¸²à¸Ħ": 111392, + "åĨ°": 111393, + "Ġrychle": 111394, + "iteli": 111395, + "Âłz": 111396, + "ยà¸ģ": 111397, + "樹": 111398, + "ĠجÙĪاÙĨ": 111399, + "æĺĮ": 111400, + "Ġüretim": 111401, + "ระà¸ļ": 111402, + "à¸Ľà¸£à¸°à¸¡": 111403, + "άÏĥ": 111404, + "岩": 111405, + "ĠÑĥÑģÑĤÑĢой": 111406, + "Ġverilen": 111407, + "ichni": 111408, + "ĠpÅĻÃŃmo": 111409, + "ĠاÙĦØ°Ùĩاب": 111410, + "ì½ľ": 111411, + "æľ±": 111412, + "Ġسخ": 111413, + "Ñĸла": 111414, + "Ñĥма": 111415, + "หา": 111416, + "ÛĮدا": 111417, + "岸": 111418, + "ä¸Ģå®ļ": 111419, + "Ġä¼ļ": 111420, + "ĠÐŁÑĸд": 111421, + "ĠÑĩиÑĤ": 111422, + "иÑİ": 111423, + "ĠÐĹап": 111424, + "ÑĤиÑı": 111425, + "Ġê°ľë°ľ": 111426, + "ĠÑĤеоÑĢ": 111427, + "ÑıÑģÑĮ": 111428, + "ĠpÅĻÃŃprav": 111429, + "(åľŁ": 111430, + "ÙħÙĬ": 111431, + "ĠpÅĻedevÅ¡ÃŃm": 111432, + "ĠTemmuz": 111433, + "ĠподдеÑĢж": 111434, + "ĠнедоÑģÑĤаÑĤ": 111435, + "ĠìĿ´ìľł": 111436, + "Ġkhá»ıi": 111437, + "ĠاÙĦتØŃ": 111438, + "ĠÙħÙħÚ©ÙĨ": 111439, + "Ġvhod": 111440, + "евой": 111441, + "овал": 111442, + "Ġналеж": 111443, + "ï¼¼:": 111444, + "ยะ": 111445, + "ĠÙħاشÛĮÙĨ": 111446, + "Ġgá»Ńi": 111447, + "alım": 111448, + "ĠìµľìłĢ": 111449, + "ÙijÙĩ": 111450, + "á»Ļp": 111451, + "à¥Ģ।Ċ": 111452, + "ĠпиÑģ": 111453, + "ĠвÑģÑı": 111454, + "Ñĩем": 111455, + "ozenÃŃ": 111456, + "Ġäºļæ´²": 111457, + "еÑĢалÑĮ": 111458, + "기ëĬĶ": 111459, + "ĠпÑĢез": 111460, + "ĠعÙħÙĪÙħÛĮ": 111461, + "иÑĩниÑħ": 111462, + "Ġæ²³": 111463, + "odnÃŃ": 111464, + "åıªæĺ¯": 111465, + "Ġpodp": 111466, + "à¹īà¸Ńà¸ĩà¸ŀ": 111467, + "ायद": 111468, + "ाà¤ĩल": 111469, + "ลà¸Ķ": 111470, + "ĠÑĢÑĸÑĪеннÑı": 111471, + "ĠÑĤÑĥÑĢ": 111472, + "ÑģÑĮкÑĥ": 111473, + "Ġsaldır": 111474, + "ĠÐĽÑĮв": 111475, + "ãĢģĊ": 111476, + "ĠÙ¾ÛĮÙĪÙĨد": 111477, + "åŃ¦ä¹ł": 111478, + "λÏī": 111479, + "ovit": 111480, + "üle": 111481, + "女æĢ§": 111482, + "ÂŁ": 111483, + "emez": 111484, + "Ġhale": 111485, + "âī¦": 111486, + "ĠÎķκ": 111487, + "ÏĦηγοÏģία": 111488, + "ký": 111489, + "ìĦ±ìĿĦ": 111490, + "Ġtým": 111491, + "à¥ĩ-": 111492, + "Ġzejména": 111493, + "æĻ¶": 111494, + "Ġngon": 111495, + "ãĢıĊĊ": 111496, + "软件": 111497, + "éĤ£ä¹Ī": 111498, + "ĠкваÑĢÑĤи": 111499, + "ĠÙħÙĨظ": 111500, + "onec": 111501, + "Ġгли": 111502, + "à¥ģरà¤ķ": 111503, + "ĠSokol": 111504, + "Ġä¿Ŀ": 111505, + "див": 111506, + "álnÃŃm": 111507, + "acaģı": 111508, + "aÅŁa": 111509, + "ĠÙħاÙĦÛĮ": 111510, + "ĠÃĸn": 111511, + "иÑĤели": 111512, + "Ġخرد": 111513, + "Ġkullanıl": 111514, + "ĠÙħÛĮÙĦ": 111515, + "Ġíļ¨": 111516, + "ãn": 111517, + "Ġrost": 111518, + "Ġëĸł": 111519, + "ubat": 111520, + "ĠåıĤ": 111521, + "ĠبراÙĬ": 111522, + "ĠменÑĮ": 111523, + "ัà¸Ħร": 111524, + "Ġпомог": 111525, + "ĠØŃضÙĪر": 111526, + "Ġthá»ĭt": 111527, + "ä¹³": 111528, + "Ġìĭłì²Ń": 111529, + "ĠíĺĦìŀ¬": 111530, + "Ġë¹ł": 111531, + "вÑĢопей": 111532, + "Ġnejen": 111533, + "Ñĸка": 111534, + "Ġìļ¸": 111535, + "ĠÙħبار": 111536, + "ĠÄįek": 111537, + "Ġkalk": 111538, + "Ġamac": 111539, + "ادت": 111540, + "ĠÙħاسÙĩ": 111541, + "Ġarasındaki": 111542, + "ĠбеÑģ": 111543, + "ĠоÑĤделÑĮ": 111544, + "ὶ": 111545, + "ĠΤζ": 111546, + "vyk": 111547, + "جÙĨ": 111548, + "»ê²Į": 111549, + "ĠниÑĩего": 111550, + "ĠشاÙħÙĦ": 111551, + "ĠÑĥÑģловиÑıÑħ": 111552, + "laması": 111553, + "è½ī": 111554, + "ç¾½": 111555, + "Ġжид": 111556, + "ĠоÑĤноÑģ": 111557, + "ĠздÑĸйÑģнÑİ": 111558, + "ĠVỼi": 111559, + "ÙĪÙĦÛĮ": 111560, + "ĠtisÃŃ": 111561, + "ĠÏĩÏģÏĮ": 111562, + "ĠpracovnÃŃ": 111563, + "ĠÙĬÙĥÙĪÙĨ": 111564, + "ĠbeÅŁ": 111565, + "جز": 111566, + "ัà¸ļร": 111567, + "ĠYönet": 111568, + "ĠشراÛĮØ·": 111569, + "ĠتÙĪسعÙĩ": 111570, + "çĹĩ": 111571, + "à¸ĩà¹Ģà¸Ľ": 111572, + "ä¸Ģ次": 111573, + "ĠÐłÐ¾ÑģÑģийÑģкой": 111574, + "æľĢé«ĺ": 111575, + "Ġspolu": 111576, + "даеÑĤÑģÑı": 111577, + "ÑĸÑĤÑĥ": 111578, + "ĠобÑĢаÑĤ": 111579, + "enek": 111580, + "Ġmek": 111581, + "å¦Ī": 111582, + "ĠдополниÑĤелÑĮ": 111583, + "Ġç²": 111584, + "ĠÙĦÙĦت": 111585, + "ĠHaziran": 111586, + "æ¸Ī": 111587, + "à¹Įà¸Ĥà¸Ńà¸ĩ": 111588, + "ĠÑĦон": 111589, + "Ġê²ĥìľ¼ë¡ľ": 111590, + "Ġnhé": 111591, + "Ġbugün": 111592, + "ovém": 111593, + "ĠзавеÑĢ": 111594, + "Ġдвиг": 111595, + "ä¼Ļ": 111596, + "Ġnuôi": 111597, + "меÑĢик": 111598, + "ĠÙĨÙħÙĪÙĨÙĩ": 111599, + "èį·": 111600, + "Ñĥвала": 111601, + "ç¿»": 111602, + "Ġsân": 111603, + "огоÑİ": 111604, + "اسÙĬØ©": 111605, + "ÑĥнкÑĤ": 111606, + "ánÃŃm": 111607, + "енное": 111608, + "Ġphút": 111609, + "Ġमर": 111610, + "ĠاÙĦÙĪØ·": 111611, + "Ġлегко": 111612, + "ĠãĢĭ": 111613, + "ë¡ľëĵľ": 111614, + "ĠKasım": 111615, + "ÙĬÙĦÙĬ": 111616, + "ĠbaÄŁlantılar": 111617, + "ĠÑĤÑĢÑĥд": 111618, + "Ø·Ùĩ": 111619, + "Ġkvůli": 111620, + "ÑģÑĤоÑı": 111621, + "ĠsatÄ±ÅŁ": 111622, + "ĠháºŃu": 111623, + "ĠبÙĩترÛĮÙĨ": 111624, + "ĠÑģелÑĮ": 111625, + "ัà¸Ļว": 111626, + "osu": 111627, + "यन": 111628, + "åĽ³": 111629, + "ιδ": 111630, + "ÛĮتÛĮ": 111631, + "ĠQuáºŃn": 111632, + "Ġей": 111633, + "à¹Ģวลา": 111634, + "ìĬ¤íĥĢ": 111635, + "ìĤ¬ë¥¼": 111636, + "ĠاÙĩÙĦ": 111637, + "ηγ": 111638, + "Ġká»·": 111639, + "ĠнаÑĤ": 111640, + "âĢ¡": 111641, + "ÑĸÑĩниÑħ": 111642, + "ĠÑĢазвиÑĤиÑı": 111643, + "ecial": 111644, + "ĠÑħозÑı": 111645, + "ваеÑĤ": 111646, + "ĠÄIJá»Ļ": 111647, + "Ġéĵ": 111648, + "Ġokam": 111649, + "ĠвÑģÑĸÑħ": 111650, + "ĠPraze": 111651, + "ë¥ł": 111652, + "ικα": 111653, + "欲": 111654, + "ĠgerçekleÅŁ": 111655, + "ç¥ĸ": 111656, + "Ġодним": 111657, + "ÂłM": 111658, + "Ġrenk": 111659, + "Ġलà¤ķ": 111660, + "ãĥķãĤ§": 111661, + "ĠÙĨزد": 111662, + "å¹»": 111663, + "ĠúzemÃŃ": 111664, + "æı¡": 111665, + "алиÑģÑı": 111666, + "ĠÃĶ": 111667, + "Ġyorum": 111668, + "ĠÏĢÏģÏī": 111669, + "ãĥ³ãĥĩ": 111670, + "éĸĭå§ĭ": 111671, + "ãĥ¼ãĥª": 111672, + "Ġìĸ¼êµ´": 111673, + "Û±Û±": 111674, + "lÃ¼ÄŁÃ¼": 111675, + "ÙĨØ´": 111676, + "à¹Īำ": 111677, + "èĽĭ": 111678, + "Ġأد": 111679, + "ĠWilli": 111680, + "課": 111681, + "Ġsürdür": 111682, + "ĠExternÃŃ": 111683, + "Ġpůvod": 111684, + "ĠخاÙĨÙĪ": 111685, + "ĠкоÑĤоÑĢое": 111686, + "Ġmohl": 111687, + "ĠstÄĽ": 111688, + "åĩı": 111689, + "ìĤ¼": 111690, + "abancı": 111691, + "à¹ģà¸Ļ": 111692, + "สำà¸Ħ": 111693, + "æĤ£": 111694, + "abilece": 111695, + "éĺ³åŁİ": 111696, + "ÎijÎļ": 111697, + "Ġchữa": 111698, + "ĠìķĦëĭ": 111699, + "طبÙĬÙĤ": 111700, + "ÎĻÎŁÎ¥": 111701, + "ÑĢование": 111702, + "åĩ½": 111703, + "Ġì¼": 111704, + "ÑĢоÑĦ": 111705, + "à¹ĩà¸Ļส": 111706, + "ĠãĤ¦": 111707, + "ï¼ļãĢĮ": 111708, + "á»ĭa": 111709, + "ĠhPa": 111710, + "manı": 111711, + "álnÃŃho": 111712, + "ÙĪتÛĮ": 111713, + "ĠлеÑĩениÑı": 111714, + "jte": 111715, + "-д": 111716, + "åħ¨åĽ½": 111717, + "ĠбÑĥдÑĸв": 111718, + "ĠzatÃŃm": 111719, + "Ġöyle": 111720, + "ìĿ´ê°Ģ": 111721, + "stal": 111722, + "ivatel": 111723, + "Ġæľª": 111724, + "Ġpožad": 111725, + "ĠÑģни": 111726, + "ĠposlednÃŃ": 111727, + "ĠÑģÑĤанд": 111728, + "à¥Ģà¤ıम": 111729, + "Ġعکس": 111730, + "ÑĢиÑı": 111731, + "ãy": 111732, + "á»ĭp": 111733, + "Ġokul": 111734, + "à¸ĩหมà¸Ķ": 111735, + "Ġвозник": 111736, + "mÃŃ": 111737, + "秣": 111738, + "ĠÄijá»ijc": 111739, + "ĠpodÃŃ": 111740, + "ĠÅĻÃŃj": 111741, + "ĠÑĤакÑĸ": 111742, + "à¸ļาà¸Ĺ": 111743, + "Ġ보기": 111744, + "ลา": 111745, + "еÑģÑĤо": 111746, + "ĠçĶ¨": 111747, + "инÑĭ": 111748, + "ĠÑĢÑĥÑħ": 111749, + "ĠÑĢаÑģполож": 111750, + "ÑīеннÑı": 111751, + "Ġcá»Ń": 111752, + "à¹īà¸ļร": 111753, + "à¥įयवस": 111754, + "ï¾ļ": 111755, + "ĠдалÑĮ": 111756, + "Ġضد": 111757, + "ÙĦÙĬØ©": 111758, + "ĠкоÑĤоÑĢого": 111759, + "Ġdve": 111760, + "Ġnhạc": 111761, + "ÑĦÑĸка": 111762, + "à¥Īà¤Ł": 111763, + "èĩªçĶ±": 111764, + "ĠпоÑĢÑĥÑĪ": 111765, + "æľĭåıĭ": 111766, + "Ġdört": 111767, + "ĠÑĢаÑģпÑĢоÑģÑĤ": 111768, + "ãģ§ãģ¯ãģªãģĦ": 111769, + "ĠпеÑĢег": 111770, + "Ġánh": 111771, + "ĠVÃŃ": 111772, + "ظٹ": 111773, + "à¥įरण": 111774, + "Ġbilim": 111775, + "Ġlidé": 111776, + "ĠdÃŃky": 111777, + "ĠÄIJá»ĵng": 111778, + "ĠεÏģγ": 111779, + "Ġznovu": 111780, + "Ïĥια": 111781, + "Ñŀ": 111782, + "सà¤Ń": 111783, + "ekk": 111784, + "ĠμεÏĦά": 111785, + "ÑģÑĤиÑĩ": 111786, + "ÛĮÙĨÚ¯": 111787, + "ĠÑıвлÑıÑİÑĤÑģÑı": 111788, + "Ġ建": 111789, + "ÏĥÏĥα": 111790, + "авлива": 111791, + "à¸ģรม": 111792, + "ç¬Ķ": 111793, + "Ġге": 111794, + "ĠرÙĩ": 111795, + "Ġмел": 111796, + "ĠнапÑĢимеÑĢ": 111797, + "Ġмик": 111798, + "ĠاÙĦسÙĥاÙĨ": 111799, + "æ¤ľ": 111800, + "ĠÐļÑĢа": 111801, + "ĠvÃłi": 111802, + "ائÙħ": 111803, + "ĠÏĩÏģή": 111804, + "leÅŁme": 111805, + "Ġjas": 111806, + "ê²ĮìŀĦ": 111807, + "Ġmaç": 111808, + "Ġì§Ħíĸī": 111809, + "à¥ĩदन": 111810, + "Ġvůbec": 111811, + "ĠÙĦÙĨ": 111812, + "è«ĩ": 111813, + "âī¡âī¡": 111814, + "лением": 111815, + "عÙĨÛĮ": 111816, + "ãĥŀãĥ³": 111817, + "Ä°Z": 111818, + "ĠÃĸÄŁ": 111819, + "ĠìŬìŀIJ": 111820, + "yÅ¡": 111821, + "ĠÑģÑĤа": 111822, + "Ġสำหร": 111823, + "Ġनव": 111824, + "ãĢĤä½Ĩ": 111825, + "олÑĮно": 111826, + "Ġyanında": 111827, + "è²´": 111828, + "Ġjednotliv": 111829, + "ĠåİŁ": 111830, + "éłħ缮": 111831, + "Ġमदद": 111832, + "리ìĹIJ": 111833, + "ĠÙħاÙĬ": 111834, + "ĠÑĩеÑĢв": 111835, + "Ġdáv": 111836, + "ÙĦÛĮÙĩ": 111837, + "?#": 111838, + "ÄįnÃŃm": 111839, + "ÑĢег": 111840, + "ĠпÑĢименÑı": 111841, + "ãĤĬãģ¨": 111842, + "ê°Ļ": 111843, + "Ġtoplam": 111844, + "ileÅŁ": 111845, + "Ġkategor": 111846, + "ÑĤал": 111847, + "ãģ«ãĤĪãĤĭ": 111848, + "Ġdomác": 111849, + "Ġê·ľ": 111850, + "ĠÙĩزار": 111851, + "ĠpÅĻÃŃstup": 111852, + "ılıyor": 111853, + "жди": 111854, + "ĠDÆ°Æ¡ng": 111855, + "ĠPháºŃt": 111856, + "Ġçünkü": 111857, + "구ê¸ĢìĥģìľĦ": 111858, + "ovaných": 111859, + "Ġعش": 111860, + "Ġà¤ķरà¤ķ": 111861, + "žÃŃt": 111862, + "ĠvÄĽtÅ¡ÃŃ": 111863, + "ĠاÙħکاÙĨ": 111864, + "Ġnông": 111865, + "Ġzám": 111866, + "à¥Įन": 111867, + "екаÑĢ": 111868, + "ÂłÐ¢": 111869, + "kami": 111870, + "ĠÑĢеÑģÑĥÑĢ": 111871, + "поÑģ": 111872, + "ÙİÙĤ": 111873, + "ίλ": 111874, + "ĠسازÛĮ": 111875, + "Ġçıkan": 111876, + "ĠdÃŃtÄĽ": 111877, + "ĠتصÙĪ": 111878, + "ç¯ĩ": 111879, + "нд": 111880, + "Ġrámci": 111881, + "hong": 111882, + "ĠÑģÑĸм": 111883, + "sak": 111884, + "кеÑĤ": 111885, + "дÑĸл": 111886, + "ç¹Ķ": 111887, + "ĠthÆ°á»Łng": 111888, + "ĠнеÑĹ": 111889, + "зÑĸ": 111890, + "ÅĻÃŃd": 111891, + "ितन": 111892, + "à¤ıà¤ķ": 111893, + "Ġsữa": 111894, + "ĠÙħرØŃ": 111895, + "éŀ": 111896, + "ĠcÆ°á»Ŀng": 111897, + ":.:": 111898, + "ÑĤен": 111899, + "èī¦": 111900, + "Ġkhợi": 111901, + "Ġ기ì¤Ģ": 111902, + "lanır": 111903, + "彩票": 111904, + "ضÛĮ": 111905, + "Ġuzav": 111906, + "Ġboh": 111907, + "èm": 111908, + "Ġæ£": 111909, + "nici": 111910, + "(çģ«": 111911, + "åħ³äºİ": 111912, + "ÑĸÑĩнÑĸ": 111913, + "à¸ģารà¸ĵ": 111914, + "Ġ첫": 111915, + "ÑĢÑĥеÑĤ": 111916, + "ĠarÅŁivlendi": 111917, + "ÑĤим": 111918, + "à¸²à¸ł": 111919, + "Ġبرابر": 111920, + "Ġà¹Ģà¸ĭ": 111921, + "ĠÄijêm": 111922, + "è·³": 111923, + "Ġyönetim": 111924, + "Ġéķ·": 111925, + "ãĥĨãĥ¬ãĥĵ": 111926, + "маÑĤи": 111927, + "责任": 111928, + "ickým": 111929, + "è¸": 111930, + "à¹Ģหà¸ķ": 111931, + "ëłĮ": 111932, + "ĠرÙĬ": 111933, + "ĠвÑĭдел": 111934, + "åĩºçİ°": 111935, + "ĠпеÑģ": 111936, + "Ġì¢ĭìĿĢ": 111937, + "Ġà¤īसन": 111938, + "ĠAralık": 111939, + "ĠÑĩаÑģÑĥ": 111940, + "lava": 111941, + "Ġï½ŀ": 111942, + "æģĭ": 111943, + "دÛĮد": 111944, + "âĢĻden": 111945, + "ĠåĪĿ": 111946, + "ÙĪدة": 111947, + "Ñĩили": 111948, + "ĠÑħаÑĢакÑĤеÑĢиÑģÑĤи": 111949, + "استاÙĨ": 111950, + "दर": 111951, + "ĠبÙĪدÙĨ": 111952, + "ĠпалÑĮ": 111953, + "ĠÑĤÑĢади": 111954, + "ĠдеÑı": 111955, + "Ġخش": 111956, + "ĠpokraÄį": 111957, + "Ġ구ê¸Ģ": 111958, + "ковÑĸ": 111959, + "Ġtık": 111960, + "Ġhấp": 111961, + "Ġzalož": 111962, + "१à¥": 111963, + "Ġëĭµë³Ģ": 111964, + "меÑĪ": 111965, + "íļ¨": 111966, + "Ġspolup": 111967, + "ËĨ": 111968, + "辦": 111969, + "Ġgá»Ĺ": 111970, + "Ġå®ļ": 111971, + "ĵn": 111972, + "asından": 111973, + "-ı": 111974, + "ĠбеÑĢез": 111975, + "大åѸ": 111976, + "Ġзнов": 111977, + "ĠHoÃłng": 111978, + "ĠدÙĪÙĨ": 111979, + "Ġanlay": 111980, + "ĠÙĪزار": 111981, + "ĠعÙĦÙħÛĮ": 111982, + "è£ľ": 111983, + "Ġdünya": 111984, + "ĠзалиÑĪ": 111985, + "даеÑĤ": 111986, + "νε": 111987, + "иÑĩеÑģкого": 111988, + "ìĬ¤íħľ": 111989, + "ĠÐijеÑĢ": 111990, + "Ġдж": 111991, + "ĠопаÑģ": 111992, + "ÏĨα": 111993, + "Ġzvlá": 111994, + "Ġtô": 111995, + "беÑĢ": 111996, + "ĠξαÏģ": 111997, + "tiÄŁini": 111998, + "ãĥ¬ãĥ³": 111999, + "ĠKho": 112000, + "ĠÑĸнÑĪ": 112001, + "Ġï¿¥": 112002, + "ì°¬": 112003, + "｡": 112004, + "ĠноÑĩ": 112005, + "è¨Ĭ": 112006, + "ÄĽti": 112007, + "å¿Ļ": 112008, + "ĠکردÙĨد": 112009, + "ĠÄijẩy": 112010, + "ĠÑģказав": 112011, + "ëĥ¥": 112012, + "屬": 112013, + "Ġशहर": 112014, + "ĠÚ©ÙħÚ©": 112015, + "ÂłÐŁ": 112016, + "ınca": 112017, + "нÑĸвеÑĢÑģиÑĤ": 112018, + "ĠÚ¯ÙĪÙĨÙĩ": 112019, + "ĠToplam": 112020, + "ĠiÅŁaret": 112021, + "ä½łä»¬": 112022, + "Ġderece": 112023, + "ĠìĤ¬ìĭ¤": 112024, + "ĠìŀIJ기": 112025, + "å®ŀçİ°": 112026, + "çĶŁçī©": 112027, + "ãģ®ä¸Ģ": 112028, + "ĠÑĢом": 112029, + "ÙĪزÙĩ": 112030, + "Ġãģ¨": 112031, + "íĻį": 112032, + "ÙĬÙĤ": 112033, + "ĠåIJįçĦ¡ãģĹãģķãĤĵ": 112034, + "ĠÙ¾ÛĮر": 112035, + "Ġполез": 112036, + "충": 112037, + "ĠкоÑĢп": 112038, + "IJëĭ¤": 112039, + "ừa": 112040, + "ÎķΤ": 112041, + "Ġжелез": 112042, + "ãģ£ãģ±": 112043, + "Ġxuyên": 112044, + "Ġë¥": 112045, + "à¥ĩ।Ċ": 112046, + "ĠÑģÑĤали": 112047, + "ĠpomocÃŃ": 112048, + "Ġdurumda": 112049, + "ĠпÑĢоÑĪ": 112050, + "lenÃŃ": 112051, + "βολ": 112052, + "Ġæĸĩç«ł": 112053, + "tÄĽz": 112054, + "dÃŃl": 112055, + "Ġdruhé": 112056, + "ĠÑĤогда": 112057, + "Ġhrá": 112058, + "оÑĤÑĮ": 112059, + "าà¸ģร": 112060, + "ĠتصÙħ": 112061, + "ĠÙħدت": 112062, + "кадем": 112063, + "ĠpatÅĻÃŃ": 112064, + "ä¹ĭåīį": 112065, + "سبة": 112066, + "ĠпокÑĢÑĭ": 112067, + "Ġnáp": 112068, + "Ġ_{}": 112069, + "ëĵ±íķĻêµIJ": 112070, + "ĠØ¥ÙĦÙĬ": 112071, + "Ġözg": 112072, + "çļĨ": 112073, + "Ġhayvan": 112074, + "ĠNisan": 112075, + "غاز": 112076, + "Ġتت": 112077, + "ĠдÑĥÑħов": 112078, + "ĠÐŁÐ¾ÑįÑĤомÑĥ": 112079, + "ÑĮогод": 112080, + "ĠkuÅŁ": 112081, + "Ġà¤ĩसम": 112082, + "جÛĮ": 112083, + "ĠãĤ¿": 112084, + "ĠвкÑĥÑģ": 112085, + "çĢ": 112086, + "ĠвÑĭÑĪе": 112087, + "âĢĻdan": 112088, + "ĠاØŃÙħد": 112089, + "Ġtalep": 112090, + "ĠÏĪ": 112091, + "Ġdolayı": 112092, + "Ġگزارش": 112093, + "бол": 112094, + "ĠاÛĮÙĨتر": 112095, + "ÑĢоÑĩ": 112096, + ")âĢı": 112097, + "ĠëIJł": 112098, + "Ġkoup": 112099, + "(æľĪ": 112100, + "é±¼": 112101, + "ĠогÑĢа": 112102, + "ĠÑĢазм": 112103, + "Ġتست": 112104, + "ĠpÅĻÃŃslu": 112105, + "íĽĪ": 112106, + "ĠëĮĢíķ´": 112107, + "à¹ģà¸Ľ": 112108, + "аннÑĭе": 112109, + "ĠìĿ¸íĦ°": 112110, + "Ġkullanılan": 112111, + "Ġztr": 112112, + "æĬĢè¡ĵ": 112113, + "à¤¿à¤Ľ": 112114, + "ĠاÙĦÙħؤ": 112115, + "ovaly": 112116, + "ustos": 112117, + "Ġörg": 112118, + "Ġ太": 112119, + "ειο": 112120, + "ĠuÄį": 112121, + "ĠØ´Ú©ÙĦ": 112122, + "建çŃij": 112123, + "Ġchạy": 112124, + "ĠÏĩÏģη": 112125, + "нÑĥÑĤ": 112126, + "Ġباعث": 112127, + "ĠNÄĽkter": 112128, + "ÑĥÑĤÑĤÑı": 112129, + "ãģ§ãģĻãģĭ": 112130, + "Ġsayılı": 112131, + "имоÑģÑĤÑĮ": 112132, + "ĠпиÑĤаннÑı": 112133, + "ĠkÃŃnh": 112134, + "Ġhran": 112135, + "okrat": 112136, + "Ġedilir": 112137, + "Ġà¤ķहत": 112138, + "Ġpaci": 112139, + "ालन": 112140, + "Ġиде": 112141, + "ĠZem": 112142, + "Ġslužby": 112143, + "ÑģÑĤвеннÑĭй": 112144, + "ĠØ¢ÙĨاÙĨ": 112145, + "ĠÑĤоваÑĢи": 112146, + "ĠتØŃÙħÙĬÙĦ": 112147, + "ĠYük": 112148, + "ĠкаÑĤегоÑĢ": 112149, + "íĭĢ": 112150, + "ĠкоÑģ": 112151, + "Ġобов": 112152, + "ĠprostÅĻedÃŃ": 112153, + "ĠÑģоÑģ": 112154, + "ĠÐIJлекÑģанд": 112155, + "Ġà¹Ģà¸Ĥà¸ķ": 112156, + "å¿ħé¡»": 112157, + "ัà¸Ĭ": 112158, + "ĠÙĦد": 112159, + "ãĢģä¸Ģ": 112160, + "ĠÎľÎŃ": 112161, + "ÑĥваÑĤиÑģÑı": 112162, + "æķı": 112163, + "ãĥ¼ãĥIJ": 112164, + "اÙĦÙĦÙĩ": 112165, + "ĠبÙĩا": 112166, + "åĸ¶": 112167, + "è´µ": 112168, + "æĸ¹åIJij": 112169, + "Ġì¸": 112170, + "ĠÙĨاÙħÙĩ": 112171, + "ÑĮко": 112172, + "Ġvody": 112173, + "vÃŃc": 112174, + "à¹ģà¸Ī": 112175, + "ĠعÙĦÛĮÙĩ": 112176, + "à¹ģรà¸ĩ": 112177, + "ίνα": 112178, + "ãģ¬": 112179, + "ĠÐŀп": 112180, + "Ġsayf": 112181, + "ï¼ĮçĶ±": 112182, + "ä¼´": 112183, + "ĠÑĥдоб": 112184, + "ãģ¾ãģł": 112185, + "ĠнепÑĢи": 112186, + "Âİ": 112187, + "à¤¾à¤ľà¤ª": 112188, + "plnÄĽ": 112189, + "ĠìĹĦ": 112190, + "Ġrůzn": 112191, + "Ġxếp": 112192, + "ãĥĸãĥ«": 112193, + "ĠзаÑħиÑģÑĤ": 112194, + "ĠÙħصرÙģ": 112195, + "ĠvÅ¡echno": 112196, + "ãģ®ãģĬ": 112197, + "ĠThá»ĭ": 112198, + "Ġmùa": 112199, + "¿IJ": 112200, + "ĠпÑĢинÑĨип": 112201, + "ĠاÙĨÙĤÙĦ": 112202, + "гаÑĢ": 112203, + "Ġmožnost": 112204, + "ÙĤÙĬÙĤ": 112205, + "ĠotevÅĻ": 112206, + "Ġfak": 112207, + "Ġnguy": 112208, + "бов": 112209, + "lacaÄŁ": 112210, + "اطر": 112211, + "ãģ«ãĤĪãĤĬ": 112212, + "æĺ¯åľ¨": 112213, + "Ġtầng": 112214, + "ìĿ¸ìĿ´": 112215, + "aÅĻ": 112216, + "碰": 112217, + "ÏĮμε": 112218, + "Ġê°Ī": 112219, + "ĠØ£ØŃد": 112220, + "غراÙģ": 112221, + "ĠÙĬØŃ": 112222, + "ｧ": 112223, + "ĠاÙĦØŃÙĬاة": 112224, + "Ġlep": 112225, + "Ġฮ": 112226, + "tae": 112227, + "ĠlÆ°Æ¡ng": 112228, + "è½®": 112229, + "ĠзмÑĸн": 112230, + "ĠÐļиÑĹв": 112231, + "ĠмÑĸÑģÑı": 112232, + "кав": 112233, + "à¸ķะ": 112234, + "Ġmnoho": 112235, + "ĠNghá»ĭ": 112236, + "èĻİ": 112237, + "ĠãĥŁ": 112238, + "Ġpráci": 112239, + "Ġgá»ijc": 112240, + "ĠYeni": 112241, + "اضÙĬ": 112242, + "Ġèij": 112243, + "Ġкла": 112244, + "ıng": 112245, + "ÏĦεί": 112246, + "Ġbeni": 112247, + "Ġعد": 112248, + "Ġaktu": 112249, + "ĠÙĪÙĤد": 112250, + "ĠподгоÑĤов": 112251, + "Ġgiai": 112252, + "(æ°´": 112253, + "Ġsaç": 112254, + "ĠÙħÙĨاسب": 112255, + "âĸĭ": 112256, + "ÙIJÙĩ": 112257, + "éį": 112258, + "à¸Ńà¸Ĺ": 112259, + "ĠسÛĮاسÛĮ": 112260, + "olit": 112261, + "ĠاÙĦجز": 112262, + "Ø·ÙĦب": 112263, + "Ġsey": 112264, + "erence": 112265, + "ì´Į": 112266, + "ĠвнÑĥÑĤÑĢен": 112267, + "Ġà¸Ļาย": 112268, + "ĠìķĬìķĺëĭ¤": 112269, + "olik": 112270, + "æľĢåIJİ": 112271, + "仪": 112272, + "ĠÑĢÑĸд": 112273, + "è¼ĥ": 112274, + "Ġباب": 112275, + "Ñĥди": 112276, + "ĠÑģÑĤÑĥп": 112277, + "ĠÄijứng": 112278, + "ĠÅŁÃ¶yle": 112279, + "ĠíķĻìĥĿ": 112280, + "ĠвлаÑģÑĤи": 112281, + "Ġhãng": 112282, + "à¹īาว": 112283, + "ĠکاÙĩØ´": 112284, + "Ġëĵ¯": 112285, + "ĠجÙħÙĦÙĩ": 112286, + "Ġدکتر": 112287, + "adolu": 112288, + "Ġتبد": 112289, + "ظاÙħ": 112290, + "ĠznaÄį": 112291, + "ĠدÙĨÛĮ": 112292, + "Ġsạn": 112293, + "å¼±": 112294, + "ÏĢι": 112295, + "ĠçIJĨ": 112296, + "ĠÙģصÙĦ": 112297, + "инг": 112298, + "ÐļÐŀ": 112299, + "ĠСов": 112300, + "Ġziyaret": 112301, + "ĠدÙħ": 112302, + "竹": 112303, + "Ġsahibi": 112304, + "isayar": 112305, + "ÄŁa": 112306, + "ĠпеÑĢÑĸод": 112307, + "Ġsna": 112308, + "(æľ¨": 112309, + "Ġнее": 112310, + "ĠÑĦакÑĤоÑĢ": 112311, + "меж": 112312, + "åºĦ": 112313, + "ráž": 112314, + "окÑĢем": 112315, + "Ġžal": 112316, + "ิà¹Ģศษ": 112317, + "豪": 112318, + "oucÃŃ": 112319, + "ĠUlus": 112320, + "Ġtakže": 112321, + "اÙĪÙĨ": 112322, + "ниÑĤи": 112323, + "нÑĮо": 112324, + "ëį¸": 112325, + "ĠÙĥرة": 112326, + "åľ³": 112327, + "ĠArthropoda": 112328, + "ĠÑĤодÑĸ": 112329, + "Ġدرصد": 112330, + "ุรà¸ģ": 112331, + "ĠÑģвого": 112332, + "说éģĵ": 112333, + "Ġcánh": 112334, + "æĵĬ": 112335, + "Ġä¸ĭè½½": 112336, + "èī¾": 112337, + "Ġnikdy": 112338, + "خط": 112339, + "ĠÑģейÑĩаÑģ": 112340, + "ÙĪÙĬÙĦ": 112341, + "amet": 112342, + "문ìĿĺ": 112343, + "ĠEÄŁitim": 112344, + "大ä¼ļ": 112345, + "ĠbÅĻez": 112346, + "заÑĨÑĸÑı": 112347, + "Ġtyto": 112348, + "най": 112349, + "غÙħ": 112350, + "Ġé©": 112351, + "计ç®Ĺ": 112352, + "Türkiye": 112353, + "Ġmnož": 112354, + "åIJĪä½ľ": 112355, + "æľįåĭĻ": 112356, + "Ġkaždý": 112357, + "ĠÑİÑĢид": 112358, + "Ġβα": 112359, + "à¥Ĥà¤ļ": 112360, + "åIJĮãģĺ": 112361, + "Ġçĭ": 112362, + "ίÏĦ": 112363, + "ÙĪÛĮÙĨت": 112364, + "اÙĨس": 112365, + "æľĢ大": 112366, + "ĠTừ": 112367, + "éŃĶæ³ķ": 112368, + "Ġбли": 112369, + "ĠÑĤакое": 112370, + "ãģľ": 112371, + "ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 112372, + "ìĿ´ë©°": 112373, + "ĠÙĤسÙħت": 112374, + "ĠоÑĨÑĸ": 112375, + "никÑĥ": 112376, + "ĠBạn": 112377, + "ĠоÑĢганÑĸз": 112378, + "üph": 112379, + "Ġizin": 112380, + "Ġï¾Ĭ": 112381, + "είÏĤ": 112382, + "à¸ĩà¹ģà¸ķ": 112383, + "ãģ¡ãĤī": 112384, + "важа": 112385, + "Ġ欧": 112386, + "ιÏİ": 112387, + "ÏĢÎŃ": 112388, + "ĠкÑĢеп": 112389, + "ĠÑĨиÑħ": 112390, + "æĦŁãģĺ": 112391, + "çķ«": 112392, + "ÙĥÙĪ": 112393, + "емо": 112394, + "žen": 112395, + "å¹³æĸ¹": 112396, + "ĠÙħجÙħÙĪعÙĩ": 112397, + "ĠÑģвои": 112398, + "ĠãĦ": 112399, + "à¸Ľà¸£à¸°à¸ģà¸Ńà¸ļ": 112400, + "ĠпÑĢоÑĤи": 112401, + "ÙĪÛĮÙĩ": 112402, + "认为": 112403, + "ÏĨÎŃ": 112404, + "иÑĩеÑģкий": 112405, + "æ¥ļ": 112406, + "Ġпап": 112407, + "δÏģο": 112408, + "Ġkullanım": 112409, + "Ġzbo": 112410, + "ĠúspÄĽ": 112411, + "ĠÙħز": 112412, + "ĠFak": 112413, + "елÑĮзÑı": 112414, + "æ´»åĭķ": 112415, + "ĠÐŁÑĢав": 112416, + "¦y": 112417, + "åĥķ": 112418, + "æijĺ": 112419, + "Ġرئ": 112420, + "ĠÏĨοÏģ": 112421, + "миÑĤ": 112422, + "Ġticaret": 112423, + "æ³ķå¾ĭ": 112424, + "年代": 112425, + "ìĪĻ": 112426, + "å¿ł": 112427, + "à¹ĩà¸Ļà¸Ĺ": 112428, + "ĠÑĥж": 112429, + "ĠÙħتØŃدÙĩ": 112430, + "Ġtrá»Ŀi": 112431, + "ĠرØŃ": 112432, + "ĠÚ©ÙĪÚĨ": 112433, + "ĠопÑĢеделен": 112434, + "ĠزÙħÛĮÙĨÙĩ": 112435, + "Ġnóng": 112436, + "Ġngủ": 112437, + "Những": 112438, + "ĠкиÑĪ": 112439, + "Ġjde": 112440, + "Ġä¸Ĭæµ·": 112441, + "åĭĩ": 112442, + "Ġtanı": 112443, + "à¹Įà¹ģละ": 112444, + "ĠÑĢаÑģÑĤвоÑĢ": 112445, + "ĠÑģÑĢедÑģÑĤв": 112446, + "Ġcán": 112447, + "Ġsystému": 112448, + "ÛĮØ·": 112449, + "ĠÑģиÑģÑĤема": 112450, + "Ġëŀ": 112451, + "ĠÑĩеÑĤ": 112452, + "éĥ¨éŨ": 112453, + "帰": 112454, + "Ġmillet": 112455, + "ĠÎķλλά": 112456, + "à¥ĩà¤ĸन": 112457, + "Ġrepubliky": 112458, + "ÑĢами": 112459, + "Ġसमस": 112460, + "Ġaçısından": 112461, + "ادÙĦ": 112462, + "ĠбеÑģп": 112463, + "ãĥ»âĶģ": 112464, + "åľŃ": 112465, + "ocu": 112466, + "kánÃŃ": 112467, + "ÙĪرش": 112468, + "ëŀµ": 112469, + "Ġçģ": 112470, + "è°ģ": 112471, + "Ġsám": 112472, + "ĠνεÏĨ": 112473, + "bilir": 112474, + "ĠmÃŃstÄĽ": 112475, + "Ġžen": 112476, + "Ġilç": 112477, + "Ġë§ģ": 112478, + "ãĢijĊ": 112479, + "ĠÙħÙĪارد": 112480, + "ĠاÙĦØ´ÙĬ": 112481, + "Ġ기ë¡Ŀ": 112482, + "Ġtady": 112483, + "à¸Ńาà¸Ī": 112484, + "ĠÑģÑĦ": 112485, + "ĠspoleÄįnost": 112486, + "Ġtématu": 112487, + "ÙħاÙħ": 112488, + "Ùħع": 112489, + "Ġлеж": 112490, + "ĠÚĨØ´Ùħ": 112491, + "ĠiÅŁlet": 112492, + "ĠÙĨسخ": 112493, + "ä¼°": 112494, + "ãģįãģª": 112495, + "ãĢĥ": 112496, + "å²Ĺ": 112497, + "ĠåŃIJ": 112498, + "Ġbảng": 112499, + "çĮ®": 112500, + "Ġcứng": 112501, + "ĠкÑĢай": 112502, + "Ġèĭ±è¯Ń": 112503, + "ÐłÐIJ": 112504, + "زÙĨ": 112505, + "èĥŀ": 112506, + "Ġsüreç": 112507, + "ãĥķãĥĪ": 112508, + "ĠкÑĸлÑĮка": 112509, + "neÄŁin": 112510, + "ovány": 112511, + "лÑĸн": 112512, + "Ġvýraz": 112513, + "ĠÑģÑĩиÑĤа": 112514, + "ĠпÑĢавило": 112515, + "ĠиÑģполÑĮзÑĥ": 112516, + "Ġkéo": 112517, + "ĠyaklaÅŁÄ±k": 112518, + "ĠÙĪابستÙĩ": 112519, + "оваÑĤелÑĮ": 112520, + "Ġì²ł": 112521, + "ĠاÙĦعاÙħ": 112522, + "åĿı": 112523, + "Ġà¸ī": 112524, + "ĠSÆ¡n": 112525, + "λιο": 112526, + "ì¶Ķì²ľ": 112527, + "Ġslužeb": 112528, + "ĠдеÑıÑĤелÑĮноÑģÑĤи": 112529, + "зм": 112530, + "Ġпози": 112531, + ".;.;": 112532, + "ĠпÑĢоиÑģÑħодиÑĤ": 112533, + "ายà¹ĥà¸Ļ": 112534, + "çļĦãģ«": 112535, + "Ġà¤ĩसस": 112536, + "омеÑĤ": 112537, + "ĠαÏģ": 112538, + "ाà¤Ĺर": 112539, + "icÃŃch": 112540, + "Ġpoložky": 112541, + "골": 112542, + "æĥĬ": 112543, + "Ġöner": 112544, + "Ġxảy": 112545, + "ĠÙĨظرÛĮ": 112546, + "Ġnghá»ī": 112547, + "Ġà¸ľà¸¥": 112548, + "ĠÑĢолÑĮ": 112549, + "ĠÑĢемон": 112550, + "صÙĪر": 112551, + "Vý": 112552, + "ĠSá»ij": 112553, + "ĠÑģÑĥÑĩаÑģ": 112554, + "หย": 112555, + "ĠاÙĤداÙħ": 112556, + "Ġerkek": 112557, + "Ġèį": 112558, + "ĠÄijôi": 112559, + "ĠконкÑĢеÑĤ": 112560, + "æ¬Ĭ": 112561, + "Ġ缮": 112562, + "ÙĪÚ©": 112563, + "lıkla": 112564, + "Ġpazar": 112565, + "άνÏī": 112566, + "ÑĥÑģÑĤа": 112567, + "ãģªãģŁ": 112568, + "ĠÙĩÙĨÚ¯": 112569, + "Ð®ÐĽ": 112570, + "Ġвелик": 112571, + "ĠnhỼ": 112572, + "ĠìĭľíĹĺ": 112573, + ")ìĿĺ": 112574, + "ÙĥÙĩ": 112575, + "Ġà¹ģล": 112576, + "Û²Ûµ": 112577, + "ĠارساÙĦ": 112578, + "ĠокÑĢем": 112579, + "άÏĤ": 112580, + "ĠвÑĭÑħод": 112581, + "vÄĽtÅ¡ÃŃ": 112582, + "ĠطرÛĮÙĤ": 112583, + "ĠкоÑĢоÑĤ": 112584, + "нÑĶ": 112585, + "ãĤĬãģ«": 112586, + "Ġä¹Ł": 112587, + "ØŃص": 112588, + "عÙħاÙĦ": 112589, + "olojik": 112590, + "Ġرابط": 112591, + "çªĹ": 112592, + "Ġgiz": 112593, + "Ġchết": 112594, + "樣": 112595, + "สà¸ĩ": 112596, + "ÙĪتر": 112597, + "ĠÑıкÑĥ": 112598, + "çı¾åľ¨": 112599, + "ĠоÑĤÑģÑĥÑĤÑģÑĤв": 112600, + "Ġê´ijê³ł": 112601, + "Ñĸки": 112602, + "åĢ¤": 112603, + "订": 112604, + "Ġdle": 112605, + "Ġåł": 112606, + "権": 112607, + "讯": 112608, + "åĶIJ": 112609, + "Ġâĸ²": 112610, + "Ġlistop": 112611, + "Ġdatové": 112612, + "ÏĦÏĮÏĤ": 112613, + "Ġоз": 112614, + "δÏĮ": 112615, + "èĴĤ": 112616, + "Û³Û°": 112617, + "ãĥªãĥ¼ãĤº": 112618, + "ĠÙħرکز": 112619, + "ĠпÑĸдÑĤÑĢим": 112620, + "ĠÑģез": 112621, + "é¡ĺ": 112622, + "Ġolacaktır": 112623, + "æºĢ": 112624, + "ĠÏĢεÏģιο": 112625, + "ÑĦа": 112626, + "ÏĦηÏĥη": 112627, + "ç»ĥ": 112628, + "Ðŀд": 112629, + "δÏħ": 112630, + "âĦĥ": 112631, + "Ġlắp": 112632, + "ĠëĦĺ": 112633, + "طاÙĨ": 112634, + "ĠÙ¾ÙĨج": 112635, + "تاÙĨ": 112636, + "ilerinin": 112637, + "ÃĪ": 112638, + "ĠØ®ÙĪØ´": 112639, + "ĠìĬ¬": 112640, + "ĠاÙĦرئÙĬس": 112641, + "ẵn": 112642, + "Ġشار": 112643, + "eru": 112644, + "жив": 112645, + "à¸Ļาย": 112646, + "Ġsẻ": 112647, + "Ġà¤īà¤ļ": 112648, + "ãģ«ãģĭ": 112649, + "ç¡Ģ": 112650, + "Ġyürüt": 112651, + "ĠСеÑĢг": 112652, + "ĠкаÑģ": 112653, + "ĠÐijог": 112654, + "Ġìĸ´ëĸ»ê²Į": 112655, + "ĠçŁ³": 112656, + "Ġöldür": 112657, + "лÑĸв": 112658, + "ĠhoÃłng": 112659, + "Ġbá»Ļt": 112660, + "çŀ¬": 112661, + "Ġ침": 112662, + "Nếu": 112663, + "Ġnevy": 112664, + "Ġìľ¤": 112665, + "ĠsouÄįást": 112666, + "ısıyla": 112667, + "Ġtüket": 112668, + "bou": 112669, + "Ġдво": 112670, + "سط": 112671, + "å½ĵçĦ¶": 112672, + "ãĥ¨": 112673, + "ĠزادÙĩ": 112674, + "Ġéĥ¨": 112675, + "ĠرÙĪØŃ": 112676, + "Ġï¼į": 112677, + "ĠмÑĸÑģÑĨев": 112678, + "θεν": 112679, + "à¸Ĩ": 112680, + "ленÑĸ": 112681, + "çį²": 112682, + "ĠHOH": 112683, + "sın": 112684, + "ิà¸ķร": 112685, + "財": 112686, + "ĠpÅĻid": 112687, + "à¹Ģหà¸Ļ": 112688, + "lý": 112689, + "è¨Ģèijī": 112690, + "à¤ĵ": 112691, + "âĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸį": 112692, + "باب": 112693, + "ãĥ¼ãĥķ": 112694, + "моÑĢ": 112695, + "è¿ĩç¨ĭ": 112696, + "ĠãĥĽ": 112697, + "ĠKinh": 112698, + "íķľêµŃ": 112699, + "Ġìĸ´ëĸ¤": 112700, + "ĠвлиÑı": 112701, + "Ġfayd": 112702, + "ĠصÙĨع": 112703, + "Ġalır": 112704, + "ĠettiÄŁi": 112705, + "άκ": 112706, + "imizin": 112707, + "ัà¸ļà¸ľ": 112708, + "ĠземелÑĮ": 112709, + "ÙĬÙĦاد": 112710, + "涨": 112711, + "çıł": 112712, + "Ġأغ": 112713, + "Ġzku": 112714, + "âĢŀA": 112715, + "าà¸ķร": 112716, + "ayi": 112717, + "ãĥ©ãĤ¹": 112718, + "ило": 112719, + "ĠÄijá»į": 112720, + ".Îķ": 112721, + "ëľ": 112722, + "ĠμÏĢοÏģεί": 112723, + "帶": 112724, + "Ġartır": 112725, + "าà¸į": 112726, + "å¿ĺ": 112727, + "talya": 112728, + "ĠpozdÄĽji": 112729, + "ĠnepÅĻ": 112730, + "Ġæ¹": 112731, + "اÙĩÛĮ": 112732, + "Ġsatın": 112733, + "Ġë²Į": 112734, + "جÙĪ": 112735, + "ä¸Ģ缴": 112736, + "ìķĦìļĶ": 112737, + "ÂłP": 112738, + "ĠØĽ": 112739, + "Ġпал": 112740, + "表æĥħ": 112741, + "Ġcanlı": 112742, + "æĪIJ为": 112743, + "ÙĪÙĨا": 112744, + "ĠâĢ¯": 112745, + "à¸ģำล": 112746, + "åįĸ": 112747, + "ĠαÏĥ": 112748, + "инок": 112749, + "амп": 112750, + "ลà¸Ńà¸ĩ": 112751, + "ÙĤÙĤ": 112752, + "ĠпÑĢоÑħод": 112753, + "ãĤĦãĤĭ夫": 112754, + "Ïĩη": 112755, + "貨": 112756, + "ĠÙģÙĬÙĩ": 112757, + "ÙĬرÙĬ": 112758, + "ĠвнеÑĪ": 112759, + "Ġkarak": 112760, + "Ø«ÙĦ": 112761, + "ÙĩÙĪرÛĮ": 112762, + "اÙĪرپ": 112763, + "ĠÄijá»ı": 112764, + "jiÅ¡tÄĽnÃŃ": 112765, + "تبر": 112766, + "Ġê·¸ê²ĥ": 112767, + "Ġgül": 112768, + "ĠпокÑĥп": 112769, + "lilik": 112770, + "Ġzda": 112771, + "åīįãģ«": 112772, + "ĠÙħÙĩÙĨد": 112773, + "ĠÎijÎĿ": 112774, + "ĠÚ©ÛĮÙĦÙĪÙħتر": 112775, + "ĠpÅĻeh": 112776, + "алеж": 112777, + "Ġkayn": 112778, + "访": 112779, + "Ġì¤ijêµŃ": 112780, + "ĠÑĪиÑĢок": 112781, + "ĠÙħشارکت": 112782, + "âĢĤ": 112783, + "ĠíŤ": 112784, + "ĠìłľíĴĪ": 112785, + "ĠØ´ÛĮر": 112786, + "esinden": 112787, + "ÑĢÑĸÑĩ": 112788, + "èı²": 112789, + "ÑģкоÑĢ": 112790, + "etik": 112791, + "à¸²à¸ľ": 112792, + "ĠطبÛĮ": 112793, + "κÎŃ": 112794, + "ĠìŀĪìĸ´": 112795, + "Ġdek": 112796, + "ÑĢÑĸй": 112797, + "åĨĴ": 112798, + "nÃŃci": 112799, + "®¤": 112800, + "ĠÙħرتب": 112801, + "Ġyazı": 112802, + "üslü": 112803, + "ìľ¼ëĤĺ": 112804, + "elerine": 112805, + "ĠyoÄŁun": 112806, + "Ġбак": 112807, + "ÎĻÎŁ": 112808, + "άλÏħ": 112809, + "ç´Ļ": 112810, + "ĠÑĢÑĥками": 112811, + "Ġçözüm": 112812, + "ìłķìĿĦ": 112813, + "Ġgüçlü": 112814, + "λÏĮ": 112815, + "Ġbelli": 112816, + "ÃŃÅ¡e": 112817, + "ĠÏĮÏĢÏīÏĤ": 112818, + "ĠnaÅ¡": 112819, + "Ġpár": 112820, + "ÑĪÑĤ": 112821, + "ĠìĨ¡": 112822, + "à¥Ĥरत": 112823, + "ĠÏĢολÏį": 112824, + "ç°¡": 112825, + "èĤ¯": 112826, + "æ¹¾": 112827, + "Ġäºĭ": 112828, + "Ġबस": 112829, + "Ġ무ë£Į": 112830, + "дина": 112831, + "誰": 112832, + "леж": 112833, + "ĠúÅĻad": 112834, + "ĠоÑģвÑĸÑĤи": 112835, + "ĠвÑĸдÑĩ": 112836, + "ĠпÑĢизнаÑĩ": 112837, + "çĶ³è¯·": 112838, + "'ya": 112839, + "ä¿Ĭ": 112840, + "ĠÙĬÙĪÙĨ": 112841, + "Ġسع": 112842, + "ĠÐĶаÑĤа": 112843, + "è¨ĢãģĨ": 112844, + "ĠØŃتÛĮ": 112845, + "ĠJiÅĻÃŃ": 112846, + "ĠХаÑĢ": 112847, + "éĻĪ": 112848, + "à¹Īาà¸Īะ": 112849, + "Ġsayesinde": 112850, + "ĠÑĤÑĢеба": 112851, + "ê°Ģì§Ģ": 112852, + "Ġyemek": 112853, + "è¦ļ": 112854, + "ặn": 112855, + "ãĢĢãĢĢãĢĢãĢĢĠãĢĢ": 112856, + "Ġ举": 112857, + "ĠÙĪا": 112858, + "ĠÙħÙĪس": 112859, + "Ġкоманд": 112860, + "Ġseçim": 112861, + "ÑĩеннÑı": 112862, + "Ġtotiž": 112863, + "Ġrá»Ńa": 112864, + "ıa": 112865, + "Ø¢Ùħ": 112866, + "ÑĨÑĸон": 112867, + "::::::::::::": 112868, + "ÐĿÐIJ": 112869, + "ıza": 112870, + "hend": 112871, + "Ġफर": 112872, + "ัà¸Ķà¸ģาร": 112873, + "ĠCách": 112874, + "ĠпоÑĤÑĸм": 112875, + "Ġá¼Ģ": 112876, + "اÙĦا": 112877, + "ỡ": 112878, + "رÛĮÙħ": 112879, + "宫": 112880, + "ĠزÙħÛĮÙĨ": 112881, + "ÑĢеÑģÑĤ": 112882, + "баÑĩ": 112883, + "Ùĩرست": 112884, + "ног": 112885, + "ï¼Į大": 112886, + "ĠëĺIJíķľ": 112887, + "Ġzůst": 112888, + "ĠÐĴона": 112889, + "å¤ĩ份": 112890, + "ĠاÙģت": 112891, + "oje": 112892, + "ÑģкÑĸлÑĮки": 112893, + "Ġnhẹ": 112894, + "ĠкеÑĢÑĸв": 112895, + "ῦ": 112896, + "æĸ¹æ¡Ī": 112897, + "заÑĨиÑı": 112898, + "ĠвÑĸдповÑĸдно": 112899, + "ãĤ¤ãĤ¹": 112900, + "гал": 112901, + "ĠобÑĭÑĩно": 112902, + "اÙĪرپÙĪÛĮÙĨت": 112903, + "å®ľ": 112904, + "losti": 112905, + "è¿Ľåħ¥": 112906, + "uyordu": 112907, + "벤íĬ¸": 112908, + "æīĭãĤĴ": 112909, + "ÐŁÐ¾Ð´": 112910, + "ĠÙħØŃدÙĪد": 112911, + "ĠØ¢Ùħد": 112912, + "arakter": 112913, + "çļĦ大": 112914, + "Ġsıcak": 112915, + "lant": 112916, + "Ġdấu": 112917, + "ĠÙĨÚ©": 112918, + "èĢħãģ®": 112919, + "Ġkendini": 112920, + "ĠпаÑĨи": 112921, + "Ġ기íĥĢ": 112922, + "ĠвмеÑģÑĤе": 112923, + "ваеÑĤÑģÑı": 112924, + "Ġë§ī": 112925, + "ĠchvÃŃli": 112926, + "Ø®ÛĮ": 112927, + "ÙĦع": 112928, + "nÃŃky": 112929, + "､:": 112930, + "ëIJľëĭ¤": 112931, + "ì§ķ": 112932, + "ĠквÑĸÑĤ": 112933, + "¨ìĸ´": 112934, + "liž": 112935, + "Ġë¹Ħë°Ģê¸Ģ": 112936, + "Ġkhá»iji": 112937, + "Ġë°©ìĨ¡": 112938, + "echan": 112939, + "Ġзаконодав": 112940, + "ĠакÑĤ": 112941, + "ë¬¸ìłľ": 112942, + "ĠNó": 112943, + "ĠçĤ¹": 112944, + "hledem": 112945, + "ĠÑģвоÑĹÑħ": 112946, + "ĠرÙĤÙħ": 112947, + "æĽ¼": 112948, + "िवर": 112949, + "åİļ": 112950, + "ĠÐļод": 112951, + "à¤Ńà¤Ĺ": 112952, + "ìŀIJëĬĶ": 112953, + "à¸Ļม": 112954, + "ÑĥÑģа": 112955, + "Ġgünü": 112956, + "ĠÄijÃŃch": 112957, + "Ġtrữ": 112958, + "å·»": 112959, + "éĵ¶è¡Į": 112960, + "ØŃÙĨ": 112961, + "讨": 112962, + "γÏĩ": 112963, + "ὸ": 112964, + "alarında": 112965, + "Ġkaf": 112966, + "ÙĪاج": 112967, + "ĠиÑģклÑİÑĩ": 112968, + "Ġnhiá»ħ": 112969, + "á»įt": 112970, + "ĠìĽ¹": 112971, + "ĠéĿ¢": 112972, + "ãģ®ãģĮ": 112973, + "Ġмало": 112974, + "ÑĸлÑĸ": 112975, + "Ġbiên": 112976, + "nému": 112977, + "пÑĢимеÑĢ": 112978, + "âĸłâĸł": 112979, + "Ġkamp": 112980, + "ĠвеÑī": 112981, + "Äįem": 112982, + "à¥ģध": 112983, + "æŁ»": 112984, + "تÙĪÙĨ": 112985, + "åıªæľī": 112986, + "ãģ¯ãģĦ": 112987, + "Ġรวม": 112988, + "ãĤŀ": 112989, + "ãģĻãĤĭãģ¨": 112990, + "å¾Īå¤ļ": 112991, + "à¹Īà¸ķ": 112992, + "ĠsvÄĽta": 112993, + "Ġê°Ģ격": 112994, + "Ú¯Ùĩ": 112995, + "andaÅŁ": 112996, + "ãĥªãĤ¹": 112997, + "Ïīμα": 112998, + "ĠØ®ÙĪب": 112999, + "ç´ħ": 113000, + "ÑĩиÑģ": 113001, + "ì¢Į": 113002, + "ĠØŃضرت": 113003, + "ĠвиÑĢÑĸÑĪ": 113004, + "پر": 113005, + "Ġtýd": 113006, + "Ġkontro": 113007, + "дейÑģÑĤв": 113008, + "ãģŁãĤģãģ«": 113009, + "ìī": 113010, + "миниÑģÑĤÑĢа": 113011, + "âĢ¯": 113012, + "åīij": 113013, + "ниÑĨÑĸ": 113014, + "å¦ĩ": 113015, + "ĠлиÑĪ": 113016, + "ãģ£ãģ¦ãĤĭ": 113017, + "наÑĢÑĥж": 113018, + "ÑīиÑħ": 113019, + "ÏĦοκ": 113020, + "ováno": 113021, + "ترÙĦ": 113022, + "ÑĢек": 113023, + "غات": 113024, + "Ġomez": 113025, + "ìĵ°": 113026, + "ĠÃľl": 113027, + "ï½Ĵ": 113028, + "lıģını": 113029, + "Ġvượt": 113030, + "ĠbÄĽÅ¾": 113031, + "ÃľR": 113032, + "Ġãĥ¾": 113033, + "ĠdoÄŁal": 113034, + "Ġhatır": 113035, + "Ġsvým": 113036, + "ì§ĢëıĦ": 113037, + "à¹Ģà¸łà¸Ĺ": 113038, + "Ġvay": 113039, + "ĠæĻĤ": 113040, + "à¥įवप": 113041, + "Ġplo": 113042, + "é¢Ħè§Ī": 113043, + "Ġçıktı": 113044, + "ĠدÙĨ": 113045, + "nánÃŃ": 113046, + "ê·Ģ": 113047, + "íĺĢ": 113048, + "à¸ŀà¸ļ": 113049, + "muÅŁtur": 113050, + "å®ĺæĸ¹": 113051, + "ĠíĶĦë¡ľê·¸ëŀ¨": 113052, + "éĢŁåº¦": 113053, + "lerdir": 113054, + "ÑĩеÑģкого": 113055, + "ĠÄ°nsan": 113056, + "âĶĥ": 113057, + "Ġà¤ĩतन": 113058, + "Ð¡Ð¡Ðł": 113059, + "ĠاÙħر": 113060, + "Ġkötü": 113061, + "ÙģØ´": 113062, + "Ġboj": 113063, + "ĠÑĨÑĸÑĶÑĹ": 113064, + "Ġsöylem": 113065, + "ниÑĨÑĭ": 113066, + "ãĢĤ她": 113067, + "âĢĿ.Ċ": 113068, + "Ġmilion": 113069, + "Ġsonunda": 113070, + "зÑĥ": 113071, + "à¥įमà¤ķ": 113072, + "人åı£": 113073, + "nÄĽÅ¾": 113074, + "ĠÑģмоÑĤ": 113075, + "ĠкомплекÑģ": 113076, + "ĠзавиÑģим": 113077, + "ĠимеÑİÑĤ": 113078, + "Ġlạc": 113079, + "Ġhangi": 113080, + "ëĶ©": 113081, + "åĬ³": 113082, + "ĠvÄĽci": 113083, + "еÑĢов": 113084, + "κÏģι": 113085, + "Ġdurumu": 113086, + "ĠبÙĪاسطة": 113087, + "ĠأبÙĬ": 113088, + "ĠAÄŁustos": 113089, + "εÏĩ": 113090, + "ĠдиÑĤи": 113091, + "ÑĦика": 113092, + "ĠNÄĥm": 113093, + "Ġ기ìĪł": 113094, + "ĠhlavnÃŃ": 113095, + "ä¿ĥ": 113096, + "Ġलà¤Ĺत": 113097, + "ĠObr": 113098, + ".ย": 113099, + "ковод": 113100, + "opis": 113101, + "Ġãĥī": 113102, + "ĠبشÙĥÙĦ": 113103, + "нием": 113104, + "ĠtémÄĽÅĻ": 113105, + "ĠاÙĦØŃر": 113106, + "ĠÙĦازÙħ": 113107, + "Ġmái": 113108, + "iliÄŁi": 113109, + "ë³¼": 113110, + "Ġyık": 113111, + "ç½²": 113112, + "ÑĢава": 113113, + "Ñīин": 113114, + "ãģ«å¯¾": 113115, + "ç²¾ç¥ŀ": 113116, + "à¹īส": 113117, + "Ġtemsil": 113118, + "ÃĨ": 113119, + "ìķĶ": 113120, + "ĠпÑĢавилÑĮно": 113121, + "ÑĢоÑİ": 113122, + "Û±Û³Û¸": 113123, + "è©ŀ": 113124, + "اءة": 113125, + "ÙĪارÙĩ": 113126, + "ï¼ħ": 113127, + "ĠÐľÐ¸Ðº": 113128, + "æģ¶": 113129, + "æıĴ": 113130, + "ापन": 113131, + "ĠÚ©ÛĮÙģÛĮت": 113132, + "ĠTÃłi": 113133, + "Ġtiá»ĥu": 113134, + "ovalo": 113135, + "çĿ¡": 113136, + "Ñĩил": 113137, + "ĠлиÑĤ": 113138, + "λεÏħÏĦα": 113139, + "Ġокон": 113140, + "::|": 113141, + "вала": 113142, + "ĠÙħرکزÛĮ": 113143, + "ĠalÄ±ÅŁ": 113144, + "Ġдолжно": 113145, + "æĻĤ代": 113146, + "Ġsert": 113147, + "еÑĤом": 113148, + "ัà¸Ļย": 113149, + "åģ·": 113150, + "ĠvÃŃc": 113151, + "ĠÑħоÑĤÑı": 113152, + "alarını": 113153, + "lenmesi": 113154, + "ãĥ³ãĥIJ": 113155, + "Ġëªĩ": 113156, + "ĠỦy": 113157, + "ĠاÙĦکتر": 113158, + "vyÅ¡Å¡ÃŃ": 113159, + "責": 113160, + "주ìĭľ": 113161, + "áÅĻe": 113162, + "Ġyere": 113163, + "ãĤ¢ãĥ³": 113164, + "ĠاÙĦسعÙĪد": 113165, + "Ġآش": 113166, + "Ġchóng": 113167, + "Ġè»": 113168, + "гаÑĶ": 113169, + "ĠãģĤ": 113170, + "稳": 113171, + "δεÏĤ": 113172, + "缮çļĦ": 113173, + "Ġcevap": 113174, + "ÑģÑĤе": 113175, + "é¡¿": 113176, + "मन": 113177, + "顾": 113178, + "ĠкÑĢедиÑĤ": 113179, + "ĠÙħستÙĤ": 113180, + "ĠмиÑĤ": 113181, + "Ġtá»ĵn": 113182, + "ĠجÙĦ": 113183, + "Ä©a": 113184, + "ĠاÙĦعÙĦÙħ": 113185, + "áků": 113186, + "ĠíķĻêµIJ": 113187, + "à¸Ĺà¸Ńà¸ĩ": 113188, + "หà¸Ļà¸Ķ": 113189, + "ĠлÑĸÑĤеÑĢаÑĤÑĥ": 113190, + "ëIJł": 113191, + "άÏģÏĩ": 113192, + "ĠÙĤدرت": 113193, + "à¸Ļาà¸ĩ": 113194, + "Ġarac": 113195, + "ĠjÃŃd": 113196, + "Ġtürlü": 113197, + "íĶ½": 113198, + "ersiz": 113199, + "еним": 113200, + "Ġyüzyıl": 113201, + "ĠãģĦ": 113202, + "ĠÎļÏħ": 113203, + "Ġæļ": 113204, + "Ġpůj": 113205, + "Ġtá»Ļi": 113206, + "Ġthiên": 113207, + "Ä°S": 113208, + "Ġthúc": 113209, + "æĹģ": 113210, + "ìŀIJìĿ¸": 113211, + "Ġölüm": 113212, + "رÛĮÙģ": 113213, + "ÑĢеж": 113214, + "صاÙĦ": 113215, + "رÙģØ©": 113216, + "iếp": 113217, + "ÑıÑĤиÑı": 113218, + "Ġpoužit": 113219, + "átu": 113220, + "为ä»Ģä¹Ī": 113221, + "ìģ": 113222, + "Ġkrát": 113223, + "ĠپرÙĪÚĺÙĩ": 113224, + "ĠrozhodnutÃŃ": 113225, + "ĠÑĥнивеÑĢ": 113226, + "Ñĸйно": 113227, + "Ġåij¨": 113228, + "Ġkiá»ĥu": 113229, + "缮åīį": 113230, + "ä¿Ħ": 113231, + "ÏĦοι": 113232, + "ÑĦеÑĢен": 113233, + "uÅŁtur": 113234, + "ĠnÃŃm": 113235, + "âĢĮØ®": 113236, + "Ġủy": 113237, + "ĠÑģÑĤаÑĤи": 113238, + "ÑĩеÑģкий": 113239, + "Ġjestli": 113240, + "ĠÙ¾ÙĨ": 113241, + "Ġobce": 113242, + "ĠجÙĩاÙĨÛĮ": 113243, + "едагог": 113244, + "ãģ§ãģ®": 113245, + "Ġbuá»Ļc": 113246, + "ì¹´ì§Ģëħ¸": 113247, + "à¹ĩà¸Ħ": 113248, + "ĠÄįtvrt": 113249, + "Ġника": 113250, + "Ġвплив": 113251, + "ĠдиÑĢ": 113252, + "ĠÑģобÑģÑĤвен": 113253, + "Ġë§İìĿ´": 113254, + "æ¾³": 113255, + "ÑĢÑĥб": 113256, + "æ£ĭ": 113257, + "å£°éŁ³": 113258, + "ä¹ĥ": 113259, + "تÛĮجÙĩ": 113260, + "å¹¼": 113261, + "onya": 113262, + "ĠPlantae": 113263, + "ЧÑĤо": 113264, + "æIJŃ": 113265, + "ä½ľçĶ¨": 113266, + "ìħ¨": 113267, + "ĠкÑĢÑĥг": 113268, + "ĠÙĪÙģÙĬ": 113269, + "Ġï¼ŀ": 113270, + "ÑĪки": 113271, + "ÂłÐľ": 113272, + "اشÛĮ": 113273, + "ĠÅŀubat": 113274, + "Ġعشر": 113275, + "lif": 113276, + "ĠpoužitÃŃ": 113277, + "íĨ¡": 113278, + "Ġблок": 113279, + "èĢ¶": 113280, + "ูร": 113281, + "Ġvüc": 113282, + "Ø´ÙĪد": 113283, + "има": 113284, + "ниÑĨип": 113285, + "ìĿ´ëĵľ": 113286, + "ĠâĢIJ": 113287, + "ĠназнаÑĩ": 113288, + "Ġstrany": 113289, + "殿": 113290, + "ĠاÙĦرÙĪ": 113291, + "纸": 113292, + "åĪij": 113293, + "ï¼Įä»İ": 113294, + "Ġë©´": 113295, + "ĠпÑĢоведеннÑı": 113296, + "Ġhava": 113297, + "ĠìĹĨìĹĪëĭ¤": 113298, + "å¢ŀåĬł": 113299, + "Ú¾": 113300, + "缺": 113301, + "Ġعبار": 113302, + "Ġtắc": 113303, + "ĠinÅŁa": 113304, + "erse": 113305, + "رÙĬب": 113306, + "Ġá»ķn": 113307, + "أة": 113308, + "ĠÏĢολι": 113309, + "Ġmắc": 113310, + "Ñģол": 113311, + "æ´ŀ": 113312, + "-го": 113313, + "ç¨ĭ度": 113314, + "ĠвикоÑĢиÑģÑĤаннÑı": 113315, + "âĢŀظ": 113316, + "elerinde": 113317, + "ĠNhÆ°ng": 113318, + "stÅĻed": 113319, + "Ġhastalık": 113320, + "à¹īà¹Ģà¸Ľ": 113321, + "Ġdefa": 113322, + "ĠزÙĬ": 113323, + "اطÙĤ": 113324, + "ĠпÑĢой": 113325, + "ĠокÑĢÑĥг": 113326, + "νια": 113327, + "ladu": 113328, + "koli": 113329, + "ĠoÄŁ": 113330, + "ĠвиÑģок": 113331, + "Ðĩ": 113332, + "çĽĸ": 113333, + "ãĤıãģij": 113334, + "ãĥ¼ãĥģ": 113335, + "æ¡¥": 113336, + "ĠÅ¡koly": 113337, + "itom": 113338, + "ĠتØŃص": 113339, + "alara": 113340, + "Ġкал": 113341, + "ĠпÑĢиÑħод": 113342, + "Ġé¦ĸ页": 113343, + "Âį": 113344, + "ĠÛĮعÙĨÛĮ": 113345, + "Ġtùy": 113346, + "Ģë¡ľ": 113347, + "ëł¤ê³ł": 113348, + "áze": 113349, + "Ġек": 113350, + "èħ¹": 113351, + "ĠFakat": 113352, + "по": 113353, + "ĠÄijá»įc": 113354, + "åĪĺ": 113355, + "ázal": 113356, + "ÑĤон": 113357, + "Ú¯ÙĪ": 113358, + "ä¸Ī": 113359, + "ìĹ¼": 113360, + "ĠÙĦÙĦØ£": 113361, + "ĠEÄŁer": 113362, + "åħ±åĴĮåĽ½": 113363, + "ذر": 113364, + "ĠdaÄŁ": 113365, + "è¡Įä¸ļ": 113366, + "ê±°ëŀĺê°Ģ": 113367, + "è´Łè´£": 113368, + "Công": 113369, + "ĠÑĦилÑĮ": 113370, + "ĠаÑģ": 113371, + "Ġchẳng": 113372, + "нимаÑĤÑĮ": 113373, + "Ġifad": 113374, + "Ġìħ": 113375, + "çĪµ": 113376, + "ĠÅĻeÅ¡enÃŃ": 113377, + "åĽ½äº§": 113378, + "Ġкакой": 113379, + "Ġमध": 113380, + "ĠYar": 113381, + "obraz": 113382, + "Ġonemoc": 113383, + "ĠâĤ": 113384, + "åİŁåĽł": 113385, + "ĠÙĥرد": 113386, + "Ġآزاد": 113387, + "Ġadlı": 113388, + "ĠHizmet": 113389, + "ãĥ¼ãĥij": 113390, + "ÙĨسÙĬØ©": 113391, + "ĠвнÑĥÑĤ": 113392, + "Ġdále": 113393, + "ÎķÎ¥": 113394, + "ĠÑĥÑħ": 113395, + "ĠÑĢев": 113396, + "ĠмеÑĪ": 113397, + "ĠkoÅŁul": 113398, + "ĠاÛĮراÙĨÛĮ": 113399, + "éĺµ": 113400, + "ĠëıĻìķĪ": 113401, + "à¹Ģà¸Ł": 113402, + "ëłĪ벨": 113403, + "è¨Ńè¨Ī": 113404, + "prak": 113405, + "poÄį": 113406, + "اعدة": 113407, + "Ġasker": 113408, + "ĠÙĪÛĮÚĺÙĩ": 113409, + "ĠТеÑĢ": 113410, + "makta": 113411, + "ĠÄįtyÅĻ": 113412, + "ÂłÐ¡": 113413, + "âĢĮÚ©ÙĨÙĨد": 113414, + "ï¼Į並": 113415, + "ĠÑĢоÑģÑĸй": 113416, + "Ġunut": 113417, + "è¿Ļä¸Ģ": 113418, + "opak": 113419, + "èĢIJ": 113420, + "ĠзамеÑĤ": 113421, + "à¹Įล": 113422, + "بÙĨ": 113423, + "Ġ몰": 113424, + "Ġinsanlar": 113425, + "åı¯æĺ¯": 113426, + "梦": 113427, + "код": 113428, + "èĽĽ": 113429, + "kladnÃŃ": 113430, + "ÑĢовод": 113431, + "ĠмÑĸÑģÑĤа": 113432, + "åĩºäºĨ": 113433, + "ĠпаÑģ": 113434, + "обов": 113435, + "گاÙĩÛĮ": 113436, + "вин": 113437, + "à¥įरध": 113438, + "Ġкомпон": 113439, + "ĠаÑĤ": 113440, + "Ġadet": 113441, + "Ġãĥģ": 113442, + "Ġذات": 113443, + "ĠØŃÙĪ": 113444, + "Ġtrochu": 113445, + "à¹ģหà¸Ļ": 113446, + "Ġзавжди": 113447, + "ĠPartisi": 113448, + "ĠSavaÅŁ": 113449, + "ĠsÃŃd": 113450, + "ĠÑģон": 113451, + "رÙĬÙģ": 113452, + "Ġzcela": 113453, + "åĺ´": 113454, + "ĠÑĦÑĥÑĤ": 113455, + "ilerek": 113456, + "malıdır": 113457, + "Ġdá»±a": 113458, + "à¸Ĺำà¸ĩาà¸Ļ": 113459, + "ĠÙĪÙĦÙĥÙĨ": 113460, + "ãģªãĤĵãģł": 113461, + "ĠÚ©ÙħÛĮ": 113462, + "ĠlékaÅĻ": 113463, + "ÏģÏį": 113464, + "جÙħع": 113465, + "ınızı": 113466, + "ĠAnadolu": 113467, + "ãģ«ãĤĪãģ£ãģ¦": 113468, + "Ġê·¸ëŁ¬ëĤĺ": 113469, + "ĠíĮĶ": 113470, + "ÑĸÑĤÑĮ": 113471, + "Ġ¦": 113472, + "ä¸įè¦ģ": 113473, + "à¸ĸม": 113474, + "ĠÙĬد": 113475, + "ĠpÅĻep": 113476, + "Ġè¦ģ": 113477, + "ĠпÑĢоекÑĤ": 113478, + "ĠÑĢеги": 113479, + "Ġdạy": 113480, + "кового": 113481, + "Ġıs": 113482, + "ĠKı": 113483, + "ĠÙģÙĬÙĩا": 113484, + "ÛĮات": 113485, + "ĠÑģÑĤала": 113486, + "æĬľ": 113487, + "ÑĥÑĢа": 113488, + "ĠپاÛĮاÙĨ": 113489, + "Ġitibaren": 113490, + "анÑĸÑĹ": 113491, + "ĠоÑĦоÑĢм": 113492, + "леÑĩ": 113493, + "εξ": 113494, + "æĶ¿çŃĸ": 113495, + "Ġç½ij": 113496, + "åĤ¬": 113497, + "ĠìĿ´ëŁ°": 113498, + "ĠkardeÅŁ": 113499, + "ÑİÑīего": 113500, + "лки": 113501, + "ĠاÛĮاÙĦات": 113502, + "تÙĩا": 113503, + "ĠподÑħод": 113504, + "ĠØŃÙĪÙĦ": 113505, + "ĠÑģовÑĢем": 113506, + "íĿ¥": 113507, + "Ġ詳細": 113508, + "ıyı": 113509, + "ĠتÙĤÙĪ": 113510, + "æ¯Ķè¾ĥ": 113511, + "ĠανÏĦι": 113512, + "ĠΣΤ": 113513, + "jiÅ¡Å¥": 113514, + "ynı": 113515, + "Ġpocházet": 113516, + "-Ðļ": 113517, + "Ġзавд": 113518, + "Ùİس": 113519, + "ç»ĵæŀĦ": 113520, + "Ùħار": 113521, + "νοι": 113522, + "ĠγεÏģι": 113523, + "èĩ£": 113524, + "ĠnacházÃŃ": 113525, + "ÏĦÏİ": 113526, + "à¥įयत": 113527, + "uyu": 113528, + "æķĹ": 113529, + "ebi": 113530, + "Ġë°Ķë¡ľ": 113531, + "ĠгÑĢн": 113532, + "ĠاÙĦاس": 113533, + "Ġorgán": 113534, + "Ġedin": 113535, + "åŁĥ": 113536, + "à¹ģà¸Ħ": 113537, + "ĠØŃدÙĪد": 113538, + "ĠдÑĢÑĥгой": 113539, + "оÑģков": 113540, + "ĠSợ": 113541, + "ĠpÅĻib": 113542, + "ä¿ĿæĬ¤": 113543, + "Ùħبر": 113544, + "ĠãĥĨ": 113545, + "Ġdoz": 113546, + "optera": 113547, + "à¸´à¸¥à¸Ľ": 113548, + "دارÛĮ": 113549, + "æĦŁè§ī": 113550, + "代çIJĨ": 113551, + "ÙĨدا": 113552, + "اÙĬا": 113553, + "صÙĨ": 113554, + "Ġcelé": 113555, + "Ġè©ķ": 113556, + "à¸ĩà¸Ļ": 113557, + "Ġleh": 113558, + "èİ·å¾Ĺ": 113559, + "ãĢĢï¾ī": 113560, + "ĠìĦłìĪĺ": 113561, + "르ëĬĶ": 113562, + "à¤Ĩर": 113563, + "å§Ķåijĺ": 113564, + "æĹłçłģ": 113565, + "Ġè·": 113566, + "ĠzajÃŃm": 113567, + "ecké": 113568, + "æµľ": 113569, + "ĠÑĥнÑĸвеÑĢÑģиÑĤ": 113570, + "ĠбÑİджеÑĤ": 113571, + "à¥ĩ.": 113572, + "Ġvstup": 113573, + "ĠоÑī": 113574, + "Ġåľĭ": 113575, + "ä¸ģ缮": 113576, + "ĠведÑĮ": 113577, + "Ġë§IJìĿĦ": 113578, + "Ġteknik": 113579, + "ãĢĢï½Į": 113580, + "ĠпÑĸдвиÑī": 113581, + "ĠÑģвÑıзи": 113582, + "ĠترجÙħ": 113583, + "Âī": 113584, + "ĠÄijâu": 113585, + "ÑĸÑĩного": 113586, + "å°ijå¹´": 113587, + "ecta": 113588, + "िलत": 113589, + "ιοÏĤ": 113590, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 113591, + "teg": 113592, + "á»īnh": 113593, + "¯¿": 113594, + "Ġnebu": 113595, + "ÙĬÙĬÙĨ": 113596, + "оÑıÑĤ": 113597, + "é¤Ĭ": 113598, + "ĠاÙĤتصادÛĮ": 113599, + "âĢĻnun": 113600, + "ĠÐĴÑĸк": 113601, + "ĠngÄĥn": 113602, + "ëĮĢíķĻêµIJ": 113603, + "éı": 113604, + "़र": 113605, + "اباÙĨ": 113606, + "ÙİÙĥ": 113607, + "Ġetkil": 113608, + "Ġchắn": 113609, + "Ġë°ľìĥĿ": 113610, + "Ġtamamen": 113611, + "ĠÙħØŃÛĮØ·": 113612, + "ülü": 113613, + "åģ¥åº·": 113614, + "ĠÑĢаÑģÑĤениÑı": 113615, + "ÏĢοί": 113616, + "Ġè¶ħ": 113617, + "áÄį": 113618, + "ĠìĻ¸ë¶Ģ": 113619, + "ĠØ®ÛĮÙĦÛĮ": 113620, + "ĠدÙĪست": 113621, + "à¹Ģà¸Ĥà¸ķ": 113622, + "Ġkalan": 113623, + "먼": 113624, + "avÄĽ": 113625, + "문íĻĶ": 113626, + "Ġдиаг": 113627, + "ĠÙĨÙĪÙĬس": 113628, + "íķij": 113629, + "à¸ŀาะ": 113630, + "ëĭ¤ê°Ģ": 113631, + "Ġniá»ĩm": 113632, + "ĠسÙĪÙħ": 113633, + "-м": 113634, + "à¸Ķำà¹Ģà¸Ļ": 113635, + "à¹ĩว": 113636, + "ãĢĤãģĵãģ®": 113637, + "ç¯ī": 113638, + "WidthSpace": 113639, + "ZeroWidthSpace": 113640, + "ائÙħØ©": 113641, + "à¹Ħà¸ĭà¸ķ": 113642, + "ä¸ĭ载次æķ°": 113643, + "ä¼¼ä¹İ": 113644, + "ĠÑĤв": 113645, + "Ġzákaz": 113646, + "Ġجدا": 113647, + "Ġgider": 113648, + "ãĥ¼ãĥĵ": 113649, + "nů": 113650, + "Ġë§ģíģ¬": 113651, + "ĠdÃ¼ÅŁÃ¼k": 113652, + "Ñĥнок": 113653, + "Ġtóc": 113654, + "ĠÑĤÑĢÑĥб": 113655, + "окÑģ": 113656, + "Ġtrải": 113657, + "Ġmiá»ħn": 113658, + "ĠthÆ°á»Ľc": 113659, + "ĠnháºŃt": 113660, + "ÂłD": 113661, + "masının": 113662, + "輪": 113663, + "ĠÎĿο": 113664, + "erç": 113665, + "Ġdokonce": 113666, + "ĠGüven": 113667, + "ovaná": 113668, + "езд": 113669, + "ÑĸнÑĮ": 113670, + "èģ²": 113671, + "اÙĦØ£": 113672, + "ï¼Įä½Ĩæĺ¯": 113673, + "ĠполноÑģÑĤÑĮÑİ": 113674, + "Portály": 113675, + "ĠØŃاÙģظ": 113676, + "à¥Ĥà¤ķ": 113677, + "ÑĢÑĥн": 113678, + "人çī©": 113679, + "Ġaçı": 113680, + "Ġporu": 113681, + "eriod": 113682, + "ĠAmerika": 113683, + "çĩŁ": 113684, + "ĠرÙĪد": 113685, + "ĠкÑĢови": 113686, + "ÙĪÙĤت": 113687, + "éĺ¶": 113688, + "ãĥ»âĶģãĥ»âĶģ": 113689, + "رÙĬÙħ": 113690, + "åİĨåı²": 113691, + "丸": 113692, + "ĠзновÑĥ": 113693, + "ĠÑģвоего": 113694, + "бÑĥдÑĮ": 113695, + "ĠØŃجÙħ": 113696, + "ĠδÏįο": 113697, + "ìķĪëĤ´": 113698, + "Ġãģ§": 113699, + "à¹Īะ": 113700, + "ÙijÙı": 113701, + "çµIJæŀľ": 113702, + "âĢĻi": 113703, + "à¹Į,": 113704, + "åŃĺäºİ": 113705, + "Ġरà¤ĸन": 113706, + "ĠسرÙħاÛĮÙĩ": 113707, + "ĠглÑĥб": 113708, + "ĠÑĢазÑĸ": 113709, + "ÑĩнÑĸ": 113710, + "ï¼ĮåıĪ": 113711, + "cısı": 113712, + "æľīåħ³": 113713, + "ãĤ»ãĥ³": 113714, + "èIJ¨": 113715, + "ĠGiáo": 113716, + "ĠاÙĦثاÙĨÙĬ": 113717, + "ĠÑĢазом": 113718, + "ĠÑĤÑĢо": 113719, + "Ġaçıklam": 113720, + "åĨ³å®ļ": 113721, + "à¸Ńà¸Ľ": 113722, + "åĶ¯": 113723, + "ĠÅŁark": 113724, + "Ġsistemi": 113725, + "Ġtoprak": 113726, + "èĢĥãģĪ": 113727, + "ĠпопÑĥлÑıÑĢ": 113728, + "ĠëĨį": 113729, + "اÙĬÙĨ": 113730, + "सम": 113731, + "ĠÂĢ": 113732, + "Ġederek": 113733, + "Ġgec": 113734, + "ìĤ¬ìĹħ": 113735, + "ĠÑĢоки": 113736, + "ĠбеÑĢем": 113737, + "ĠخاÙĨÙĪادÙĩ": 113738, + "Ġèµ·": 113739, + "ĠЧÑĤо": 113740, + "ĠobÄĽ": 113741, + "инÑĸ": 113742, + "ìĿ´ìĹĪ": 113743, + "ĠIndi": 113744, + "ĠдиÑĤ": 113745, + "ãĥ¶æľĪ": 113746, + "Ġнемного": 113747, + "ĠzákladÄĽ": 113748, + "à¹Ĥà¸Ħ": 113749, + "ĠÑģамого": 113750, + "ĠبØŃØ«": 113751, + "Ġæ¶": 113752, + "овж": 113753, + "ĠобÑĢаÑī": 113754, + "ÃĴ": 113755, + "วรร": 113756, + "à¤Ĥश": 113757, + "ĠоÑĩеÑĢед": 113758, + "ĠÙģرز": 113759, + "ëĮĢíķľ": 113760, + "Ġsizin": 113761, + "رÙģت": 113762, + "ÑİÑīим": 113763, + "æ»ij": 113764, + "avir": 113765, + "ĠÙĪصÙĦ": 113766, + "Ġquay": 113767, + "Ġгип": 113768, + "ÑĢениÑı": 113769, + "à¥įवत": 113770, + "ινÏīν": 113771, + "à¤ľà¤¹": 113772, + "ĠhÆ¡i": 113773, + "Ġpovaž": 113774, + "Ġعرب": 113775, + "менÑĤа": 113776, + "ĠоÑģÑĤан": 113777, + "ä¹ĭéĹ´": 113778, + "acÃŃch": 113779, + "ĠÑģказала": 113780, + "ìĿ´ëĿ¼ëĬĶ": 113781, + "Ġشاخ": 113782, + "Ġëĭ¹ìĭł": 113783, + "arlar": 113784, + "Ġмлн": 113785, + "åĨ¬": 113786, + ".:.:.:": 113787, + "Ġθε": 113788, + "Ġherkes": 113789, + "лÑıд": 113790, + "اÙħا": 113791, + "ĠëŃIJ": 113792, + "ÏĥιμοÏĢοι": 113793, + "Ġobraz": 113794, + "غاÙĦ": 113795, + "BÆ°á»Ľc": 113796, + "å°Ĭ": 113797, + "ìŀIJ를": 113798, + "æĢĴ": 113799, + "οÏħÏģγ": 113800, + "å¼ķãģį": 113801, + "Ġkonuda": 113802, + "ĠاÙĦتج": 113803, + "Ġkrit": 113804, + "å¿į": 113805, + "ĠìłĦìĦ¸ê°Ģ": 113806, + "говоÑĢ": 113807, + "Ġistiyor": 113808, + "оки": 113809, + "ĠобеÑģпеÑĩ": 113810, + "Ġayrıca": 113811, + "à¹Ģà¸ľ": 113812, + "аÑĢод": 113813, + "Ä°Åŀ": 113814, + "ĠجÙħÙĩÙĪرÛĮ": 113815, + "ĠÑģвоиÑħ": 113816, + "Ġprovád": 113817, + "ĠÑĢам": 113818, + "ĠÙĤض": 113819, + "лиÑĤелÑĮ": 113820, + "ãĤ±ãĥĥãĥĪ": 113821, + "оÑģоÑĦ": 113822, + "Ġरहन": 113823, + "kový": 113824, + "ì°¸": 113825, + "γκα": 113826, + "λοι": 113827, + "μÏĢο": 113828, + "ĠÄijau": 113829, + "ниÑİ": 113830, + "Ġmanžel": 113831, + "Ġíĺ¼": 113832, + "ĠÑĤиÑģ": 113833, + "ãĥĨãĥ«": 113834, + "abilecek": 113835, + "нин": 113836, + "à¸ģรรมà¸ģาร": 113837, + "éłIJ": 113838, + "Ġphê": 113839, + "jedn": 113840, + "交æµģ": 113841, + "Ġвнимание": 113842, + "обÑĢеÑĤ": 113843, + "ĠжизнÑĮ": 113844, + "ÑĢиÑģÑĤи": 113845, + "à¥Īà¤ļ": 113846, + "Ġyüzden": 113847, + "Ġgiy": 113848, + "éļĶ": 113849, + "仲": 113850, + "ĠèĻ": 113851, + "ĠParti": 113852, + "Ġéĸ¢": 113853, + "ัà¸ļส": 113854, + "ĠnejlepÅ¡ÃŃ": 113855, + "ÙİÙī": 113856, + "ĠìĿ´ìłľ": 113857, + "Ġcắt": 113858, + "ÑĢозÑĥм": 113859, + "Ġnejsou": 113860, + "lÃŃd": 113861, + "θο": 113862, + "à¹ĩà¸ĩ": 113863, + "ĠÑģпÑĢоÑģ": 113864, + "mamÄ±ÅŁ": 113865, + "Ġ쪽": 113866, + "اÙģÙĤ": 113867, + "ÑĨÑĸйниÑħ": 113868, + "Ġé¦Ļ": 113869, + "ĠÙħÛĮÙĦÛĮÙĪÙĨ": 113870, + "夢": 113871, + "ĠÙģÙĩرست": 113872, + "rý": 113873, + "ĠповÑĸдом": 113874, + "eceÄŁi": 113875, + "ĠзабезпеÑĩеннÑı": 113876, + "ÂĶ": 113877, + "ãģĹãģªãģĦ": 113878, + "åŁºç¡Ģ": 113879, + "ĠÚĨÙĨÛĮÙĨ": 113880, + "ĠÑĢозÑĢоб": 113881, + "ä¸ĢäºĽ": 113882, + "ãĥ³ãģ®": 113883, + "ĠпÑĢаÑĨÑĸв": 113884, + "å¾ĹåĪ°": 113885, + "Ġtấn": 113886, + "åŃĺæ¡£å¤ĩ份": 113887, + "ĠíĻĪ": 113888, + "Ġà¸Ķาว": 113889, + "ìĭ±": 113890, + "лина": 113891, + "ĠвоÑģпал": 113892, + "ÄŁinden": 113893, + "аÑĤелей": 113894, + "rž": 113895, + "ĠÑĦÑĥн": 113896, + "ĠÐIJл": 113897, + "ĠпоÑĩÑĤи": 113898, + "овÑĸд": 113899, + "اعب": 113900, + "าะห": 113901, + "ĠвозÑĢаÑģÑĤ": 113902, + "ิà¸ĩห": 113903, + "ĠÙģÙĦس": 113904, + "ĠÅ¡est": 113905, + "à¸Ĭาว": 113906, + "Ġ골": 113907, + "ĠoÄį": 113908, + "ãĤ¸ãĥ§": 113909, + "коÑģÑĤи": 113910, + "éĽĨåĽ¢": 113911, + "æ±ĩ": 113912, + "ĠpÅĻÃŃliÅ¡": 113913, + "ĠìĿij": 113914, + "диви": 113915, + "ĠдокÑĥменÑĤа": 113916, + "ĠChâu": 113917, + "Ġmáu": 113918, + "Ġkhô": 113919, + "Ãķ": 113920, + "Ñīий": 113921, + "Ġsẵn": 113922, + "ĠконÑĦ": 113923, + "ĠзÑĥÑģÑĤ": 113924, + "åĽŀçŃĶ": 113925, + "ĠкоÑĢиÑģÑĤ": 113926, + "ĠÏĢεÏģί": 113927, + "丰": 113928, + "Ġmạch": 113929, + "анк": 113930, + "ä¸ĭæĿ¥": 113931, + "èµĦæĸĻ": 113932, + "ยà¸Ńà¸Ķ": 113933, + "ĠÏĢιο": 113934, + "à¹īà¸ĩาà¸Ļ": 113935, + "ĠumÃŃst": 113936, + "æ½®": 113937, + "çªģçĦ¶": 113938, + "Ġkultur": 113939, + "ĠاÙĦصÙģ": 113940, + "alarının": 113941, + "ĠÎĶημο": 113942, + "ĠвиконаннÑı": 113943, + "ｿ": 113944, + "ĠбезопаÑģ": 113945, + "ĠÑģаÑħ": 113946, + "Ġnoh": 113947, + "à¹ĥà¸ļ": 113948, + "éĥ½å¸Ĥ": 113949, + "ÅŁam": 113950, + "бÑĥÑĤ": 113951, + "Ġ모ìĬµ": 113952, + "Ġваг": 113953, + "çIJĨ解": 113954, + "Ġekonomik": 113955, + "Ġkhắc": 113956, + "Ġsvat": 113957, + "лиÑĪком": 113958, + "ัà¸ĩà¸Īาà¸ģ": 113959, + "izyon": 113960, + "èĥ½å¤Ł": 113961, + "ίνει": 113962, + "ÂĬ": 113963, + "ì¦Į": 113964, + "ĠÙĩاÛĮÛĮ": 113965, + "ĠkiÅŁiler": 113966, + "ĠклеÑĤ": 113967, + "íĺģ": 113968, + "à¥ĥद": 113969, + "iÅ¡": 113970, + "ëĶĶìĺ¤": 113971, + "ÙĬراÙĨ": 113972, + "ĠÐĿÑĥ": 113973, + "à¸Ńà¸Ļà¸Ĺ": 113974, + "ĠÑģоÑĩ": 113975, + "Ġisteyen": 113976, + "ĠSez": 113977, + "ĠãĤ»": 113978, + "ĠAç": 113979, + "âĢĮÙĨ": 113980, + "ĠÑĤоп": 113981, + "ĠÑĤеÑĢÑĢиÑĤоÑĢ": 113982, + "acılık": 113983, + "ĠоднÑĥ": 113984, + "Ġveri": 113985, + "Ġکد": 113986, + "ĠÚ¯ÙģتÙĩ": 113987, + "Ġcinsel": 113988, + "ологии": 113989, + "ĠpÅĻedmÄĽt": 113990, + "à¤Ĥà¤ĺ": 113991, + "Ġ空": 113992, + "γα": 113993, + "'ye": 113994, + "ترة": 113995, + "ĠdÅĻÃŃ": 113996, + "ĠHÃłn": 113997, + "ĠرشتÙĩ": 113998, + "Ġvidea": 113999, + "Ġног": 114000, + "æ·»": 114001, + "è¿ĺæľī": 114002, + "ÙĨدر": 114003, + "Ġyerde": 114004, + "Ġkent": 114005, + "à¸ļาล": 114006, + "ĠдеÑģÑı": 114007, + "ä¸ļåĬ¡": 114008, + "ĠобÑĬек": 114009, + "ĠвнÑĥÑĤÑĢÑĸÑĪ": 114010, + "kola": 114011, + "ebnÃŃ": 114012, + "ีล": 114013, + "Ġ,.": 114014, + "ĠмÑĸжнаÑĢод": 114015, + "ãģªãĤĵãģ¦": 114016, + "ĠSöz": 114017, + "Ġchod": 114018, + "Ġtrúc": 114019, + "ìļĶìĿ¼": 114020, + "ĠpháºŃn": 114021, + "Ñģка": 114022, + "ĠÑħлоп": 114023, + "Ñģким": 114024, + "Ġkapit": 114025, + "ëĵ¤ìĹIJê²Į": 114026, + "ĠbÃło": 114027, + "lıģın": 114028, + "Ä°ÅŁ": 114029, + "ÄįnÃŃk": 114030, + "ĠNgoÃłi": 114031, + "ĠبÛĮاÙĨ": 114032, + "ĠproÄį": 114033, + "ĠпÑĢоÑĤÑıгом": 114034, + "åĢī": 114035, + "еÑİ": 114036, + "Ġνο": 114037, + "ëĿ¼ëıĦ": 114038, + "ì·¨": 114039, + "ĠвиÑıв": 114040, + "Ġпонад": 114041, + "ĠжовÑĤ": 114042, + "Ġæ¯Ķ": 114043, + "Ġdoby": 114044, + "лам": 114045, + "Ñijл": 114046, + "ĠÑĢаÑħ": 114047, + "Ġвозника": 114048, + "ниÑĨÑĤво": 114049, + "層": 114050, + "ĠоÑĤлиÑĩ": 114051, + "çĤİ": 114052, + "飯": 114053, + "Ġživota": 114054, + "atör": 114055, + "Ġcelý": 114056, + "Ġaday": 114057, + "رÙĬÙĥÙĬ": 114058, + "Ġبص": 114059, + "meyen": 114060, + "ìļ°ìĬ¤": 114061, + "بÙĪÙĦ": 114062, + "Ġозна": 114063, + "麼": 114064, + "æĵļ": 114065, + "Ġzkou": 114066, + "ëĤĺìļĶ": 114067, + "Ġkry": 114068, + "Ġnemoh": 114069, + "ĠvyužÃŃ": 114070, + "Ġæľ¨": 114071, + "ĠадмÑĸнÑĸÑģÑĤÑĢа": 114072, + "اÙĩا": 114073, + "à¹ĥà¸ģล": 114074, + "＿＿＿＿＿＿＿＿": 114075, + "ĠгоÑĤ": 114076, + "ĠدÛĮگرÛĮ": 114077, + "ĠлекаÑĢ": 114078, + "è§Ģ": 114079, + "Ġíĺij": 114080, + "ĠBöyle": 114081, + "istrov": 114082, + "女åŃIJ": 114083, + "ĠпопеÑĢед": 114084, + "ĠÙĨÙĪÙĬسÙĨدÙĩ": 114085, + "ÙĴÙĦ": 114086, + "ĠÐŁÐ°Ð²": 114087, + "Ġörnek": 114088, + "ĠпÑĢик": 114089, + "ĠÑĪи": 114090, + "üslüman": 114091, + "ĠÙħÙĤابÙĦ": 114092, + "åįģäºĮ": 114093, + "Ġbekl": 114094, + "Ġverir": 114095, + "ÙĪØ°": 114096, + "ضة": 114097, + "ÑĢоÑĤив": 114098, + "æĮij": 114099, + "..:": 114100, + "ĠخارجÙĬØ©": 114101, + "adık": 114102, + "ĠÐŁÐ¾Ñĩ": 114103, + "ĠÑħÑĥдож": 114104, + "客æĪ·": 114105, + "μον": 114106, + "ektiv": 114107, + "Ġtvá": 114108, + "Û²Û²": 114109, + "Ġlá»įc": 114110, + "Ġоно": 114111, + "ÑĨиÑĤ": 114112, + "ĠÐĴÑģ": 114113, + "Ġå¢": 114114, + "浪": 114115, + "аÑĢÑĸ": 114116, + "Ġsürekli": 114117, + "Ġstra": 114118, + "Ġbize": 114119, + "Ġtespit": 114120, + "Ġchâu": 114121, + "ĠاÙĦض": 114122, + "à¹īà¸Ńà¸ĩà¸ģ": 114123, + "ĠèĢħ": 114124, + "ĠHá»": 114125, + "ĠкаждÑĭй": 114126, + "аÑİ": 114127, + "à¸Ļà¸Ħร": 114128, + "à¸Ĺะ": 114129, + "ĠÙħراجع": 114130, + "Ġhaline": 114131, + "δοÏĤ": 114132, + "eÄŁi": 114133, + "ĠÙħÛĮزاÙĨ": 114134, + "ĠÙĩÙĦ": 114135, + "Ġbolest": 114136, + "ĠåľŁ": 114137, + "Ġuzman": 114138, + "ÑĢог": 114139, + "確èªį": 114140, + "ĠÑĢÑĸзниÑħ": 114141, + "ĠзакÑĢÑĭ": 114142, + "лÑĥги": 114143, + "ĠÑģовеÑĤ": 114144, + "iddi": 114145, + "åIJĪãĤıãģĽ": 114146, + "ĠåIJī": 114147, + "Ġkiá»ĩm": 114148, + "ë²½": 114149, + "ĠÙħعÙħÙĪÙĦ": 114150, + "ĠопÑĢеделÑı": 114151, + "Ġmiktar": 114152, + "ĠìŀIJëıĻ": 114153, + "Ġilaç": 114154, + "лоÑĩ": 114155, + "Ġyılı": 114156, + "ĠÄIJá»ĥ": 114157, + "Ġabych": 114158, + "Ġreklam": 114159, + "Ġvypad": 114160, + "ĠнаÑĥÑĩ": 114161, + "à¹Ģà¸Ħราะห": 114162, + "Ġä»ĸ": 114163, + "povÄĽ": 114164, + "ï¼Į让": 114165, + "ç¥Ŀ": 114166, + "اÙĪÙĨد": 114167, + "Ġ:|:": 114168, + "Ġrež": 114169, + "Ġvybav": 114170, + "ìľ¤": 114171, + "æŃ´": 114172, + "огÑĢаÑĦиÑı": 114173, + "ezpeÄį": 114174, + "±n": 114175, + "овÑĥ": 114176, + "ĠдÑĥма": 114177, + "Ġjednodu": 114178, + "оÑīи": 114179, + "ĠÙħشتر": 114180, + "観": 114181, + "Ġyoktur": 114182, + "ĠobÄįan": 114183, + "ĠTrần": 114184, + "ımsız": 114185, + "αιν": 114186, + "ÂĮ": 114187, + "رÛĮاÙĨ": 114188, + "ĠJeho": 114189, + "ĠاÙĦØ¢ÙĨ": 114190, + "ÑģÑĮким": 114191, + "Ġkdyby": 114192, + "ĠbaÅŁÄ±na": 114193, + "Ġprezident": 114194, + "ĠViá»ĩc": 114195, + "åħ¼": 114196, + "à¥Įà¤ľ": 114197, + "Ġ매매ê°Ģ": 114198, + "模å¼ı": 114199, + "nÃŃmu": 114200, + "ĠåĤ": 114201, + "Ġdeniz": 114202, + "ĺèĽĽ": 114203, + "ĠèĢĮ": 114204, + "ÙĪØŃ": 114205, + "Ñĭп": 114206, + "Ġâĸ¼": 114207, + "nul": 114208, + "ĠSev": 114209, + "Ġruh": 114210, + "Ġhạ": 114211, + "ĠÑıн": 114212, + "Ġ기본": 114213, + "Ġvelik": 114214, + "ĠTân": 114215, + "илиÑģÑĮ": 114216, + "ĠÑħÑĢа": 114217, + "åĤ·": 114218, + "Ġà¤Ĩà¤ı": 114219, + "ĠnynÃŃ": 114220, + "»ØĮ": 114221, + "Ġشع": 114222, + "æĿĤ": 114223, + "ĠмÑĭÑĪ": 114224, + "ãģĻãģIJ": 114225, + "Ġê³µì§Ģ": 114226, + "Ġtá»Ļc": 114227, + "ãĥ¼ãĥĩ": 114228, + "ĠÑģело": 114229, + "ĠاعÙĦاÙħ": 114230, + "ĠÅŁimdi": 114231, + "ĠاÙĦÙħÙĬÙĦاد": 114232, + "ĠاÙĨÙĤÙĦاب": 114233, + "ĠشخصÙĬØ©": 114234, + "ĠKür": 114235, + "ĠвÑĸÑĤ": 114236, + "ĠاÙĨدازÙĩ": 114237, + "ĠмоÑī": 114238, + "ternet": 114239, + "ĠαÏħÏĦή": 114240, + "ĠÑĢозÑĤа": 114241, + "Ġвив": 114242, + "lej": 114243, + "Ġ表": 114244, + "ÏĥÏĥÏĮÏĦε": 114245, + "ĠÙĬست": 114246, + "ĠмаÑĪ": 114247, + "åĿļ": 114248, + "ĠкомнаÑĤ": 114249, + "าหล": 114250, + "ĠçĻ¼": 114251, + "ĠاÙĪÙĦÛĮÙĨ": 114252, + "è¿IJåĬ¨": 114253, + "ĠпÑĥнкÑĤ": 114254, + "ĠоÑģобенно": 114255, + "Ġмам": 114256, + "绩": 114257, + "￣￣￣￣￣￣￣￣": 114258, + "алÑĮнÑĭм": 114259, + "ĠЦенÑĤ": 114260, + "-Ðľ": 114261, + "ç·Ĵ": 114262, + "Ġà¤¹à¤ľ": 114263, + "оÑĤÑĭ": 114264, + "ãĤ¤ãĥī": 114265, + "دارة": 114266, + "ãģ¨ãģĹãģŁ": 114267, + "ัà¸ŀย": 114268, + "Ġotáz": 114269, + "ĠдопомогоÑİ": 114270, + "à¹ģละà¸ģาร": 114271, + "ĠÑĤÑĢанÑģпоÑĢÑĤ": 114272, + "ĠÙĤرآÙĨ": 114273, + "Ġ第ä¸Ģ": 114274, + "Ġмил": 114275, + "Ġngôi": 114276, + "Ġlinh": 114277, + "ĠNhân": 114278, + "ÑĮогоднÑĸ": 114279, + "æĢĢ": 114280, + "à¹īาส": 114281, + ".::.::": 114282, + "Ġbirey": 114283, + "æĢĿãģĦ": 114284, + "à¹ĥà¸Ķ": 114285, + "веÑĢд": 114286, + "Ġlistopadu": 114287, + "Ġà¹ģม": 114288, + "ге": 114289, + "ĠкÑĥÑħ": 114290, + "ĠíĻľëıĻ": 114291, + "Ġèİ": 114292, + "ĠÐIJлÑĮ": 114293, + "íļĮìĿĺ": 114294, + "ĠÏĢÏģα": 114295, + "Ġvui": 114296, + "วร": 114297, + "à¤Ĥव": 114298, + "Ġgece": 114299, + "競": 114300, + "Ġkuv": 114301, + "меÑī": 114302, + "ĠÑĤепеÑĢÑĮ": 114303, + "à¸Ńà¹Ģม": 114304, + "åĪ¶åº¦": 114305, + "ĠÑĤÑĢеÑĤ": 114306, + "ĠÙĨتÛĮجÙĩ": 114307, + "ä»ĺãģį": 114308, + "Ġï¾ŀ": 114309, + "ĠÑĩого": 114310, + "âĢIJ-": 114311, + "ĠÅĻÃŃká": 114312, + "à¸ĩà¹ĥà¸Ļ": 114313, + "ĠnÄĽkolika": 114314, + "Ġbuna": 114315, + "ï¼ĮåŃĺäºİ": 114316, + "ลำ": 114317, + "ãĢģãģ¨": 114318, + "Ġná»Ļp": 114319, + "ĠاÙĦجÙĨ": 114320, + "ĠÎłÎ±Î½": 114321, + "ÐŀÐł": 114322, + "Ġدختر": 114323, + "Ġúdaje": 114324, + "Ġå¼ł": 114325, + "retim": 114326, + "sınız": 114327, + "ĠÙĩÙĨاÙĥ": 114328, + "ÐĽÐ¬": 114329, + "æķ¬": 114330, + "ÎijÎľ": 114331, + "页éĿ¢åŃĺæ¡£å¤ĩ份": 114332, + "ìĤ¬ê°Ģ": 114333, + "Ġtrest": 114334, + "viÄį": 114335, + "ĠÙ¾ÛĮدا": 114336, + "ζε": 114337, + "ĠÐŁÐ¾Ð²": 114338, + "ÙĦÙħات": 114339, + "orex": 114340, + "è¬Ľ": 114341, + "ĠвÑĸдкÑĢиÑĤ": 114342, + "маÑħ": 114343, + "ĠÑĩиÑģле": 114344, + "تبار": 114345, + "ĠÎŃκ": 114346, + "ìķĦíĮĮíĬ¸": 114347, + "ravel": 114348, + "αÏĥία": 114349, + "aÄį": 114350, + "Ġà¤ıन": 114351, + "ละà¹Ģà¸Ń": 114352, + "Ġзалеж": 114353, + "Ġæģ": 114354, + "ĠможеÑĤе": 114355, + "Ġповед": 114356, + "ĠبسÛĮارÛĮ": 114357, + "ĠpoÄįet": 114358, + "ربع": 114359, + "elez": 114360, + "اÙĪرÛĮ": 114361, + "ĠbaÅŁk": 114362, + "å°Ĥ": 114363, + "Ġhalde": 114364, + "æĭŁ": 114365, + "Sau": 114366, + "оÑĨи": 114367, + "ีà¸Ħ": 114368, + "Ġвлади": 114369, + "ÙIJÙħ": 114370, + "kud": 114371, + "à¥Ĥब": 114372, + "å§Ķåĵ¡": 114373, + "ารà¸ĵ": 114374, + "orů": 114375, + "ĠÙħÙĪÙĦ": 114376, + "Ġbyt": 114377, + "ĠpÅĻÃŃsluÅ¡": 114378, + "èĭ±è¯Ń": 114379, + "éĢIJ": 114380, + "Ġvelké": 114381, + "Ġà¤Ĩश": 114382, + "Ġphiếu": 114383, + "à¹ĥส": 114384, + "Ġاسپ": 114385, + "ĠzbožÃŃ": 114386, + "ãģĵãĤĵãģª": 114387, + "ĠÙĪÙĩÙĬ": 114388, + "ĠÑĥÑĩаÑģÑĤÑĮ": 114389, + "à¸Īำà¸Ļวà¸Ļ": 114390, + "Ġترک": 114391, + "åįģåĪĨ": 114392, + "ÎŁÎł": 114393, + "κολ": 114394, + "Ġfakat": 114395, + "Ġchá»Ĺ": 114396, + "éĢļçŁ¥": 114397, + "ĠводÑĥ": 114398, + "ĠÎļαÏĦηγοÏģία": 114399, + "acaģını": 114400, + "лого": 114401, + "ĠmÃ¼ÅŁter": 114402, + "Ġjednou": 114403, + "ĠбаÑĢ": 114404, + "idae": 114405, + "dım": 114406, + "è¾²": 114407, + "åIJ¹": 114408, + "ëIJ©ëĭĪëĭ¤": 114409, + "ĠÅŁeklinde": 114410, + "eným": 114411, + "ëĵ¯": 114412, + "itÄĽ": 114413, + "ĠколÑĮ": 114414, + "ëĮĢíķĻ": 114415, + "ĠÃĸr": 114416, + "Ġê½": 114417, + "ĠUBND": 114418, + "Ġhik": 114419, + "ãĤīãģĹãģĦ": 114420, + "åĩºåĵģ": 114421, + "Có": 114422, + "ĠÎŀ": 114423, + "Ġåħ¥": 114424, + "ĠNguyên": 114425, + "ĠÙ¾ÙĪØ´": 114426, + "лÑıÑĶ": 114427, + "Ġآغاز": 114428, + "Ġnhiá»ħm": 114429, + "divid": 114430, + "çĺ": 114431, + "اÙģتÙĩ": 114432, + "амеÑĤ": 114433, + "нÑĥлÑģÑı": 114434, + "ä¼ģæ¥Ń": 114435, + "ÑĢобÑĸÑĤ": 114436, + "dÃ¼ÄŁÃ¼": 114437, + "ĠکاÙĨ": 114438, + "à¸Ńà¸ĩà¸Ĺ": 114439, + "йн": 114440, + "Ġpohyb": 114441, + "Ġbiá»ĩn": 114442, + "Ġï¼Ľ": 114443, + "ÙħÙĨد": 114444, + "Ġà¤Ĩà¤ķ": 114445, + "ĠÄįlovÄĽk": 114446, + "ãĤĴè¦ĭãĤĭ": 114447, + "ë·°": 114448, + "ĠÑĥвелиÑĩ": 114449, + "Ġê´": 114450, + "ĠyanlÄ±ÅŁ": 114451, + "麦": 114452, + "Ġå¤ĸéĥ¨": 114453, + "ÏĦοÏħÏģγ": 114454, + "ĠпÑĢоÑĩ": 114455, + "ĠÑĢÑĥковод": 114456, + "缤": 114457, + "èľĺèĽĽ": 114458, + "å®īè£ħ": 114459, + "ĠУкÑĢа": 114460, + "ĠtartÄ±ÅŁ": 114461, + "ÑĤаж": 114462, + "ĠoluÅŁan": 114463, + "ĠRusya": 114464, + "ĠклÑĥб": 114465, + "ĠÎłÎ¡": 114466, + "alıdır": 114467, + "kın": 114468, + "ĠзмÑĸни": 114469, + "leÅŁik": 114470, + "еÑĢп": 114471, + "обÑīе": 114472, + "ĠquáºŃn": 114473, + "Ġपश": 114474, + "ãĤĴåıĹ": 114475, + "à¹Ģลà¸Ĥ": 114476, + "اضر": 114477, + "Ġuživatel": 114478, + "λία": 114479, + "ĠÐĴони": 114480, + "ุà¸Ķà¸Ĺ": 114481, + "ĠVÃł": 114482, + "ãĥ³ãĤ¿": 114483, + ")ëĬĶ": 114484, + "æ¸Ľ": 114485, + "ĠμÏĢ": 114486, + "å·§": 114487, + "ĠÑĪкол": 114488, + "Ġì²ĺìĿĮ": 114489, + "ัà¸ģà¸Ķ": 114490, + "æ®Ĭ": 114491, + "Ġnhá»Ŀ": 114492, + "ĠοÏĢοία": 114493, + "à¹ģà¸Ļว": 114494, + "меÑĢикан": 114495, + "nÃŃka": 114496, + "Ġíĺ¸íħĶ": 114497, + "سبب": 114498, + "à¸ĩม": 114499, + "ìŀĪëĬĶ": 114500, + "غط": 114501, + "ÙıÙĦ": 114502, + "¹æŀľ": 114503, + "ÑĩÑĸв": 114504, + "ÑĪаÑı": 114505, + "ĠØ¥ÙĦا": 114506, + "خصÙĪص": 114507, + "llll": 114508, + "ĠÑįÑĤим": 114509, + "ĠzvÃŃ": 114510, + "Ġquán": 114511, + "à¸Ļà¸ģ": 114512, + "Ġполов": 114513, + "Ġæ·±": 114514, + "Ġmiá»ģn": 114515, + "人éĸĵ": 114516, + "Ġзим": 114517, + "Ġmeydana": 114518, + "еÑĦ": 114519, + "Ġbá»ģn": 114520, + "زÙĬد": 114521, + "ĠÐłÐµÑģп": 114522, + "ÎĻΣΤ": 114523, + "ĠæĶ¶": 114524, + "raya": 114525, + "ĠتÙĪاÙĨد": 114526, + "Ġister": 114527, + "Ġë°Ģ": 114528, + "ĠмеÑħани": 114529, + "Ġà¸ķำ": 114530, + "Ġдека": 114531, + "à¤Ĥà¤Ĺल": 114532, + "ãĥ¼ãĤ«ãĥ¼": 114533, + "ĠnepÅĻÃŃ": 114534, + "ĠÑģÑĩиÑĤ": 114535, + "Ġομά": 114536, + "Ġçift": 114537, + "بÛĮÙĨÛĮ": 114538, + "meleri": 114539, + "ĠвоздейÑģÑĤв": 114540, + "dou": 114541, + "ìĥģìĿĦ": 114542, + "ĠÐĴолод": 114543, + "εβ": 114544, + "ÐĿÐĺ": 114545, + "Ñıк": 114546, + "ÏįÏĦε": 114547, + "зано": 114548, + "lenir": 114549, + "celik": 114550, + "ĠÑģоÑģÑĤавлÑıеÑĤ": 114551, + "ιαÏĤ": 114552, + "ĠÐĵоÑĢ": 114553, + "ä¹ĭä¸Ģ": 114554, + "ÏĥμÏĮÏĤ": 114555, + "ãģ«éĸ¢": 114556, + "ĠвÑĩ": 114557, + "ĠпоÑģк": 114558, + "輯": 114559, + "à¥Ģश": 114560, + "Ġآثار": 114561, + "à¸Ħวามร": 114562, + "Ġедин": 114563, + "íħIJ": 114564, + "å¹³æĪIJ": 114565, + "ĠkiÅŁinin": 114566, + "ãĤ²ãĥ¼ãĥł": 114567, + "à¥įतव": 114568, + "Ġkapsamında": 114569, + "Ġaktar": 114570, + "Ġtrừ": 114571, + "Ġرشد": 114572, + "Ġнаказ": 114573, + "رÙĬÙĦ": 114574, + "à¸Ńà¸Ħ": 114575, + "ĠگذشتÙĩ": 114576, + "Ġæ°ij": 114577, + "ĠÑĤебÑı": 114578, + "spor": 114579, + "ÑİÑīаÑı": 114580, + "окÑĢема": 114581, + "вад": 114582, + "ĠChúng": 114583, + "ĠزÛĮادÛĮ": 114584, + "еного": 114585, + "ĠکسÛĮ": 114586, + "Ãŀ": 114587, + "Ġadına": 114588, + "Ñĥда": 114589, + "ÑĸÑĶ": 114590, + "аÑĤели": 114591, + "ĠnávÅ¡tÄĽ": 114592, + "çĶ¨äºİ": 114593, + "ĠپرÙĪÙĨدÙĩ": 114594, + "ĠÙĨبÙĪد": 114595, + "سات": 114596, + "ìĹĺ": 114597, + "ãģ£ãģ¦ãĤĤ": 114598, + "Ġçī©": 114599, + "Ðĺз": 114600, + "åĪ·": 114601, + "Ġíľ´": 114602, + "ĠоÑģоблив": 114603, + "ãģĹãģ¾ãģ£ãģŁ": 114604, + "aydı": 114605, + "åĩºçļĦ": 114606, + "ĠìķĦëĭĪëĿ¼": 114607, + "ısını": 114608, + "à¸Ĺาà¸ĩà¸ģาร": 114609, + "Ġzvuky": 114610, + "Ġ管": 114611, + "âĸĭâĸĭ": 114612, + "ĠÑĤелеÑĦ": 114613, + "ĠнелÑĮзÑı": 114614, + "ãĥ«ãģ®": 114615, + "ÏĥÏĢ": 114616, + "Ġç³": 114617, + "åł¡": 114618, + "ÑĨÑĥз": 114619, + "رÙĬÙĤØ©": 114620, + "à¤¿à¤Ľà¤²": 114621, + "販": 114622, + "ĠУкÑĢаÑĹн": 114623, + "ĠÙħسئÙĪÙĦ": 114624, + "ĠоÑĩÑĸ": 114625, + "æľĢå¾Į": 114626, + "ĠзнаÑİ": 114627, + "à¹īà¸Ļà¸Ĺ": 114628, + "ĠÑĤеÑĢап": 114629, + "ĠÑģпок": 114630, + "ĠØ®ÙĪدرÙĪ": 114631, + "éĺ»": 114632, + "Ġdüzey": 114633, + "ä¸ĢåĢĭ": 114634, + "اÙģÙĩ": 114635, + "à¤Ĥय": 114636, + "èµĦ产": 114637, + "继ç»Ń": 114638, + "ĠÑģлаб": 114639, + "æĦıæĢĿ": 114640, + "ĠíĻĺìĤ°": 114641, + "ĠÑıÑĢ": 114642, + "Ġdůvod": 114643, + "çĿĽ": 114644, + "تÛĮب": 114645, + "ĠÙĪÛĮر": 114646, + "ĠÙĩزÛĮÙĨÙĩ": 114647, + "Ġbenzer": 114648, + "ĠÙħادÙĩ": 114649, + "à¥Įà¤ķ": 114650, + "Ġà¹Ģà¸ķ": 114651, + "ãĤĪãģı": 114652, + "иденÑĤ": 114653, + "èĭ±èªŀ": 114654, + "еÑĢÑĭ": 114655, + "Ġê¸Īìķ¡": 114656, + "Ġãĥ¼": 114657, + "Ġëį¤íĶĦ": 114658, + "ÑĢаÑĤÑĮ": 114659, + "Ġåįķ": 114660, + "à¹Ģà¸īà¸ŀาะ": 114661, + "ĠæĶ¿": 114662, + "Ġà¤Ĩम": 114663, + "Ġзни": 114664, + "ĠëĿ¼ìĿ´": 114665, + "æİĮ": 114666, + "çIJĨçĶ±": 114667, + "Ġاغ": 114668, + "ĠÑģиг": 114669, + "ĠеÑĦекÑĤив": 114670, + "ĠÐŁÑĢед": 114671, + "ãĥ´ãĤ£": 114672, + "Ġвико": 114673, + "Ġtvrd": 114674, + "ëĤ´ê¸°": 114675, + "ãĥĭãĤ¢": 114676, + "ĠÙħشاÙĩدÙĩ": 114677, + "Ġसà¤ļ": 114678, + "lÃ¼ÄŁ": 114679, + "è¯ģåĪ¸": 114680, + "Ġsiêu": 114681, + "ĠоÑĤв": 114682, + "ĠvytvoÅĻ": 114683, + "ĠØŃÙħÙĦ": 114684, + "ĠÑĦÑĢан": 114685, + "à¹īà¸Ķ": 114686, + "åĮ»éĻ¢": 114687, + "Ġвлад": 114688, + "غÙĦ": 114689, + "建ç«ĭ": 114690, + "osloven": 114691, + "илаÑģÑĮ": 114692, + "عÙĦÙĪÙħات": 114693, + "ĠترÛĮÙĨ": 114694, + "ÎŃÏģει": 114695, + "ĠbáºŃt": 114696, + "ĠÙħØ´Ú©": 114697, + "ĠرئÙĬس": 114698, + "Ġìłľìŀij": 114699, + "γη": 114700, + "ĠнÑĸк": 114701, + "Ġ구ìĦ±": 114702, + "ĠÄijen": 114703, + "Ġà¤ļर": 114704, + "ĠgeçmiÅŁ": 114705, + "äºĨ解": 114706, + "ĠлеÑģ": 114707, + "Ġquanh": 114708, + "ãĢĮæĪij": 114709, + "ĠNÄĽkterá": 114710, + "ëŀį": 114711, + "ÃħŸ": 114712, + "à¤Ĥदर": 114713, + "ìķĦìĿ´": 114714, + "å°ijãģĹ": 114715, + "ĠØ´ÙĩرÛĮ": 114716, + "κÏĦη": 114717, + "ĠâĹĦ": 114718, + "ĠÙĥس": 114719, + "è·Į": 114720, + "Ãı": 114721, + "å·¥åħ·": 114722, + "åĬĥ": 114723, + "pom": 114724, + "ĠнавÑĩаннÑı": 114725, + "Ġرج": 114726, + "ÑĢÑĥеÑĤÑģÑı": 114727, + "ĠνÎŃ": 114728, + "ÛĮÙĨÚ©": 114729, + "à¹Ĥà¸ĭ": 114730, + "åĭ¤": 114731, + "ãģĹãģ¾ãģĨ": 114732, + "ĠÑģоглаÑģ": 114733, + "éĩijèŀį": 114734, + "绿": 114735, + "ĠСан": 114736, + "æķµ": 114737, + "ĠповÑĸÑĤ": 114738, + "ĠпомоÑīи": 114739, + "ãĥ¡ãĥªãĤ«": 114740, + "ãĤ·ãĤ¢": 114741, + "ĠÏĢÏģοÏĤ": 114742, + "èĪªç©º": 114743, + "ĠваÑĢианÑĤ": 114744, + "Ġyalnızca": 114745, + "系統": 114746, + "ĠÙģÙĪر": 114747, + "оÑĩной": 114748, + "à¹Ģวà¸Ńร": 114749, + "ĠкÑĥлÑĮÑĤÑĥÑĢ": 114750, + "Ïĩι": 114751, + "ÄįÃŃta": 114752, + "Âĵ": 114753, + "人ãģĮ": 114754, + "κοÏį": 114755, + "ĠÑĢеÑĶ": 114756, + "ĠвÑģÑİ": 114757, + "éºĹ": 114758, + "ĠزÙĨاÙĨ": 114759, + "çĭĤ": 114760, + "Ġหม": 114761, + "Ġxúc": 114762, + "åħĴ": 114763, + "ÄŁinin": 114764, + "åĸľæ¬¢": 114765, + "ĠÑģÑĤад": 114766, + "iyesi": 114767, + "ìļ±": 114768, + "èĿ": 114769, + "Ġkus": 114770, + "ÏĦολ": 114771, + "гÑĸв": 114772, + "Ñĸли": 114773, + "ãģĦãĤĦ": 114774, + "é©Ĺ": 114775, + "ontrol": 114776, + "اÙĦÙĥ": 114777, + "ковиÑħ": 114778, + "ĠÑģÑĤало": 114779, + "ĠγαÏģα": 114780, + "Ġchy": 114781, + "Ġcihaz": 114782, + "ĩ´": 114783, + "ìŀ¥ìĿ´": 114784, + "aceae": 114785, + "Ø´Ùĩر": 114786, + "иланнÑı": 114787, + "çļĦå°ı": 114788, + "Ġthụ": 114789, + "ÙĪÙĨت": 114790, + "лоÑĢ": 114791, + "ãĤĴæĮģ": 114792, + "ĠÎĶι": 114793, + "Ġ羣": 114794, + "ÐĽÐŀ": 114795, + "é½IJ": 114796, + "çİĦ": 114797, + "اÙĪÙĩ": 114798, + "ĠинÑĤ": 114799, + "à¥Ģà¤Łà¤°": 114800, + "ĠобÑīе": 114801, + "ĠдепÑĥÑĤ": 114802, + "μÎŃνεÏĤ": 114803, + "ĠÙĥÙĬÙģ": 114804, + "عÙħÙĦ": 114805, + "ï¼Įå¦Ĥæŀľ": 114806, + "ĠинÑĦек": 114807, + "itele": 114808, + "ĠãĢĢãĢĢĠãĢĢ": 114809, + "ãĤ¤ãĥ³ãĥĪ": 114810, + "лÑĸÑĤ": 114811, + "ĠÑģÑİ": 114812, + "Ġzase": 114813, + "dech": 114814, + "еко": 114815, + "è®ĵ": 114816, + "åı¬": 114817, + "зем": 114818, + "ÎłÎij": 114819, + "Ġvzdu": 114820, + "าà¸Īาà¸ģ": 114821, + "koliv": 114822, + "zkum": 114823, + "èģĬ": 114824, + "Ġì±Ħìļ©": 114825, + "à¹į": 114826, + "Ġasp": 114827, + "Û²Û´": 114828, + "ìĿ¸ëį°": 114829, + "ĠkarÅŁÄ±laÅŁ": 114830, + "ï¼Įåı¯ä»¥": 114831, + "Ġà¤ĩनà¤ķ": 114832, + "ĠìĬ¤íĥĢ": 114833, + "éĥ¨å±ĭ": 114834, + "åĪ¶ä½ľ": 114835, + "ãĥ¼ãĤ·ãĥ§ãĥ³": 114836, + "ονÏĦαÏĤ": 114837, + "γο": 114838, + "ĠìŀijìĦ±": 114839, + "èij£": 114840, + "ozÅĻejmÄĽ": 114841, + "ĠÑĢезÑĥлÑĮÑĤаÑĤе": 114842, + "ĠInsecta": 114843, + "Ġskon": 114844, + "otu": 114845, + "ĠpÄĽt": 114846, + "ÑģÑĮого": 114847, + "ĠÄ°slam": 114848, + "Ġlá»ħ": 114849, + "ä¸Ńåľĭ": 114850, + "ĠÐľÑĸнÑĸÑģÑĤ": 114851, + "åIJĪåIJĮ": 114852, + "asyonu": 114853, + "ожеÑĤ": 114854, + "èĩªåĬ¨": 114855, + "ÑģÑĮкоÑİ": 114856, + "ĠkiÅŁisel": 114857, + "ÏĦικοÏį": 114858, + "ĠÑĥÑĩаÑģ": 114859, + "ılmÄ±ÅŁtır": 114860, + "ĠÑıке": 114861, + "ÑīинÑĭ": 114862, + "маÑĢ": 114863, + "Ġsoudu": 114864, + "ÂłÐ¯": 114865, + "ĠдÑĢÑĥ": 114866, + "ãģ¡ãĤĩ": 114867, + "à¥ĭà¥ľ": 114868, + "ï¾ij": 114869, + "ĠÏĦÏĮ": 114870, + "Ġضر": 114871, + "láš": 114872, + "ĠдÑĸв": 114873, + "ĠجدÙĬد": 114874, + "ĠнеболÑĮÑĪ": 114875, + "éģŃ": 114876, + "ç»į": 114877, + "ĠKurulu": 114878, + "ÑģÑĤÑĢÑĥменÑĤ": 114879, + "è¿Ļæĺ¯": 114880, + "ìĻĶëĭ¤": 114881, + "мелÑĮ": 114882, + "Ġä¼Ĭ": 114883, + "ủng": 114884, + "ĠзавиÑģимоÑģÑĤи": 114885, + "ëį¤íĶĦ": 114886, + "çĩĥ": 114887, + "è¿ĩåİ»": 114888, + "ĠзаÑģÑĤоÑģÑĥваннÑı": 114889, + "ĠداخÙĦÛĮ": 114890, + "ÑīÑij": 114891, + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł": 114892, + "ﺮ": 114893, + "ĠاÙĦÙħÙħÙĦÙĥØ©": 114894, + "sında": 114895, + "è³Ģ": 114896, + "å±ı": 114897, + "Ġê¿": 114898, + "Ġdoktor": 114899, + "ĠÙĤاب": 114900, + "ĠSist": 114901, + "ĠмеÑģÑĤе": 114902, + "ĠÑģоÑħÑĢа": 114903, + "اشتÙĩ": 114904, + "ĠæľŁ": 114905, + "ĠпоÑģколÑĮкÑĥ": 114906, + "Ġpev": 114907, + "اگر": 114908, + "Ùħز": 114909, + "ĠضÙħÙĨ": 114910, + "३": 114911, + "gesi": 114912, + "aÄŁa": 114913, + "解åĨ³": 114914, + "ëħ¸ì¶ľ": 114915, + "Ġluyá»ĩn": 114916, + "ĠконÑĤак": 114917, + "ฺ": 114918, + "ĠNgÃły": 114919, + "Ġvýstav": 114920, + "Ġthuyết": 114921, + "اÛĮع": 114922, + "Ġ:/:": 114923, + "Ġphạt": 114924, + "ĠÎijÏĢÏĮ": 114925, + "Ġmuz": 114926, + "Ġìĥī": 114927, + "ĠÃĩin": 114928, + "Ġکاربرد": 114929, + "ائد": 114930, + "باد": 114931, + "à¥įतम": 114932, + "Ġëijĺ": 114933, + "Ġмоз": 114934, + "Å¡ÃŃch": 114935, + "Ġมห": 114936, + "Ġآس": 114937, + "ĠÑģлиÑĪком": 114938, + "èĥ¡": 114939, + "è£ģ": 114940, + "æĪ»": 114941, + "ĠìĦ¤ëªħ": 114942, + "Ġotom": 114943, + "Ġलà¤Ĺà¤Ńà¤Ĺ": 114944, + "à¸ĩà¸ģ": 114945, + "ابد": 114946, + "à¸Ļาม": 114947, + "èĤ©": 114948, + "ĠشدÙĨد": 114949, + "ãģĿãģ®ä»ĸ": 114950, + "adlo": 114951, + "ÄĽn": 114952, + "ĠÙĦÙĩا": 114953, + "Ġминим": 114954, + "ĠdÅĻev": 114955, + "ĠThiên": 114956, + "ëŀĻ": 114957, + "engin": 114958, + "à¥Ģमत": 114959, + "ĠÑĥпоÑĤÑĢеб": 114960, + "âĢĮتر": 114961, + "Ġç¥ŀ马": 114962, + "ovánÃŃm": 114963, + "Ġдело": 114964, + "Ġç¼ĸ": 114965, + "ĠاÙĦظ": 114966, + "Ġвий": 114967, + "аÑĤом": 114968, + "åħ¬åijĬ": 114969, + "ĠÄijem": 114970, + "ãĤ·ãĥªãĥ¼ãĤº": 114971, + "ä¸ĭçļĦ": 114972, + "lası": 114973, + "ĠвÑĭбоÑĢ": 114974, + "ÑĤоÑĤ": 114975, + "ëıĦë³Ħ": 114976, + "ĠÑĥÑģÑĤан": 114977, + "ĠíŀĪ": 114978, + "лÑĥаÑĤа": 114979, + "Ġthác": 114980, + "анием": 114981, + "оваÑĤÑĮÑģÑı": 114982, + "ÑĤÑĶ": 114983, + "ÐŃÑĤо": 114984, + "ï¼Įè¦ģ": 114985, + "ĠVz": 114986, + "ĠØŃÙĪزÙĩ": 114987, + "-к": 114988, + "VỼi": 114989, + "entů": 114990, + "ĠbulunduÄŁu": 114991, + "رÙĪØ·": 114992, + "ĠÑĹй": 114993, + "Ġçevr": 114994, + "ĠÅĻed": 114995, + "ĠساختÙĩ": 114996, + "åĬŀæ³ķ": 114997, + "ĠÙĤÙĦ": 114998, + "iÅŁi": 114999, + "ï¼Ŀï¼Ŀ": 115000, + "ساس": 115001, + "Ġúdajů": 115002, + "å¬": 115003, + "æįŁ": 115004, + "áct": 115005, + "ĠÎijÏĢ": 115006, + "çĪ·": 115007, + "ĠÅĻád": 115008, + "Ġlá»Ĺi": 115009, + "ontent": 115010, + "ĠÙħØ°": 115011, + "oloji": 115012, + "Ġپرداخت": 115013, + "à¹īาà¸ŀ": 115014, + "ĠдейÑģÑĤвиÑı": 115015, + "ĠmnožstvÃŃ": 115016, + "ìķĪë§Ī": 115017, + "åģ¶": 115018, + "ĠÃĶng": 115019, + "Ġdakika": 115020, + "hendis": 115021, + "Ġbác": 115022, + "寶": 115023, + "à¹ĩà¸ģหà¸į": 115024, + "nocenÃŃ": 115025, + "ĠErdoÄŁan": 115026, + ":::::::::::::": 115027, + "аÑĤем": 115028, + "dız": 115029, + "ĠØ£ÙĬضا": 115030, + "ĠÑįÑĦÑĦек": 115031, + "ãĤĮãģ¦ãģĦãĤĭ": 115032, + "ĠbaÅŁvuru": 115033, + "άνει": 115034, + "ĠÏĦελεÏħÏĦα": 115035, + "Ġê²Ģìĥī": 115036, + "ĠÚ©ÙĨترÙĦ": 115037, + "Ġशà¤ķ": 115038, + "å¼¹": 115039, + "ĠolmuÅŁtur": 115040, + "ĠвÑģÑĤÑĥп": 115041, + "Ñĩила": 115042, + "ยา": 115043, + "ĠØ£ØŃÙħد": 115044, + "oslav": 115045, + "ĠÑĩаÑģов": 115046, + "ĠzákladnÃŃ": 115047, + "Ġसव": 115048, + "дон": 115049, + "ĠÅĻÃŃjna": 115050, + "κοÏħ": 115051, + "éĢģæĸĻçĦ¡æĸĻ": 115052, + "ÏĥίαÏĤ": 115053, + "ãĤ´ãĥª": 115054, + "Ġвиб": 115055, + "å½Ĵ": 115056, + "Ġназад": 115057, + "ĠçĻ¾åº¦æĶ¶å½ķ": 115058, + "á»Ĩ": 115059, + "Ġkaldı": 115060, + "ì¼ľ": 115061, + "ĠíıŃ": 115062, + "ĠÑĩином": 115063, + "è¹": 115064, + "Ñıл": 115065, + "ĠÑĢаздел": 115066, + "dG": 115067, + "ĠTento": 115068, + "ÑıÑĤÑĮÑģÑı": 115069, + "éĿ¢çļĦ": 115070, + "ĠÎķÏĢι": 115071, + "ê°ij": 115072, + "Ġkèm": 115073, + "ниÑĨÑı": 115074, + "çĸ«": 115075, + "éĽĻ": 115076, + "ĠÙħرÙĥز": 115077, + "ĠнаÑĥк": 115078, + "å¢Ĺ": 115079, + "ĠÑĤепеÑĢ": 115080, + "à¤¾à¤ł": 115081, + "à¹ĩà¸ļà¹Ħà¸ĭà¸ķ": 115082, + "μβÏģίοÏħ": 115083, + "ĠÑĦÑĸнанÑģов": 115084, + "ÑĸÑĶÑİ": 115085, + "Ïģίζ": 115086, + "ì¤Ħ": 115087, + "ĠباÙĨÚ©": 115088, + "tul": 115089, + "liÄŁini": 115090, + "ĠпозволÑıеÑĤ": 115091, + "Ïĥί": 115092, + "ĠìĽĥ": 115093, + "à¹Įà¸Ħ": 115094, + "Ġpolov": 115095, + "ìŀ¥ìĿĦ": 115096, + "isté": 115097, + "ĠÐ¡Ð¡Ð¡Ðł": 115098, + "áhl": 115099, + "è¥": 115100, + "Ġкомплек": 115101, + "à¸Ĥà¸Ļาà¸Ķ": 115102, + "ัศ": 115103, + "ναν": 115104, + "Ġç¥ŀ马æĶ¶å½ķ": 115105, + "ìĭľìĺ¤": 115106, + "Ġé¦ĸ页第": 115107, + "ĠçĻ¾åº¦æµģéĩı": 115108, + "åij¨æĶ¶å½ķ": 115109, + "Ġhatta": 115110, + "ÐĴÑĸд": 115111, + "ĠвÑĭÑģÑĤÑĥп": 115112, + "کارÛĮ": 115113, + "Khi": 115114, + "Ġì°¾ìķĦ": 115115, + "Ġnặng": 115116, + "éĨ«": 115117, + "ĠVÅ¡": 115118, + "ĠпеÑĢен": 115119, + "лава": 115120, + "ÙĬÙħÙĬ": 115121, + "ĠvatandaÅŁ": 115122, + "ĠιÏĥÏĦο": 115123, + "Ġà¸ĵ": 115124, + "सल": 115125, + "ген": 115126, + "ĠبÙĪر": 115127, + "âĢĮدÙĩد": 115128, + "lıklı": 115129, + "Ġstrate": 115130, + "بÙĪر": 115131, + "ãĢģãĤ¢": 115132, + "Ġsonuc": 115133, + "Ġнаиболее": 115134, + "-в": 115135, + "Ġводой": 115136, + "ojenÃŃ": 115137, + "Ġغرب": 115138, + "Ġberi": 115139, + "adÄĽ": 115140, + "Ġdovol": 115141, + "âĢĮÚ©ÙĨÙĨدگاÙĨ": 115142, + "ãģķãĤī": 115143, + "ãĥ³ãĤº": 115144, + "ãĤ«ãĥ«": 115145, + "ometr": 115146, + "åĩĢ": 115147, + "ĠÙģÙĪÙĦ": 115148, + "ĠÙħÙĪسÛĮ": 115149, + "ĠاÙĦÙħغرب": 115150, + "ecko": 115151, + "ÙĢÙĢÙĢÙĢÙĢÙĢÙĢÙĢ": 115152, + "ê°Ģ격": 115153, + "ÑĢÑĥÑĤ": 115154, + "Ġë¶Ģë¶Ħ": 115155, + "ĠpÅĻedpis": 115156, + "Ġopravdu": 115157, + "еÑĤиÑĩ": 115158, + "à¹Ĥà¸Ħรà¸ĩà¸ģาร": 115159, + "æħ§": 115160, + "æĭľ": 115161, + "سÙĥ": 115162, + "ìŀ¡ëĭ´": 115163, + "à¸Ľà¸£à¸°à¸¡à¸²à¸ĵ": 115164, + "è´¨éĩı": 115165, + "ĠголовÑĥ": 115166, + "лениÑİ": 115167, + "Ġनà¤ı": 115168, + "Ġprojektu": 115169, + "اÙģر": 115170, + "ativnÃŃ": 115171, + "ÎŃνÏĦ": 115172, + "ãĥīãĥ©": 115173, + "Ġtedav": 115174, + "ê¼": 115175, + "à¸Ľà¸£à¸°à¸ģาศ": 115176, + "Ġtuto": 115177, + "Ġchiếu": 115178, + "Ġvyz": 115179, + "ÑĢоÑĪ": 115180, + "åıĸå¾Ĺ": 115181, + "ĠмиÑģÑĤ": 115182, + "ĠÑģлÑĥÑĩаÑıÑħ": 115183, + "Ġغذ": 115184, + "ĠÑĥклад": 115185, + "ĠÑĥÑģÑĤановлен": 115186, + "Ġteslim": 115187, + "ĠãĢį": 115188, + "Ġè£": 115189, + "毫": 115190, + "éĬĢè¡Į": 115191, + "ects": 115192, + "kemiz": 115193, + "νηÏĤ": 115194, + "辺": 115195, + "ĠпÑĢем": 115196, + "Ġsonucu": 115197, + "Pokud": 115198, + "ĠÐŀÑģоб": 115199, + "è¾Ľ": 115200, + "輸": 115201, + "ë³´ê³ł": 115202, + "à¸ļà¸Ħ": 115203, + "ãĢĤãĢį": 115204, + "ा।ĊĊ": 115205, + "ĠÑģамоÑģÑĤоÑıÑĤелÑĮ": 115206, + "ÙĦÛĮت": 115207, + "λεκ": 115208, + "ĠÑĢайона": 115209, + "ÑĮи": 115210, + "à¹Īาà¸Ĺ": 115211, + "Ġà¸Ľà¸£à¸°à¹Ģà¸Ĺศ": 115212, + "มà¸Ń": 115213, + "اÙĩر": 115214, + "ĠвибоÑĢ": 115215, + "ÑİÑĩиÑģÑĮ": 115216, + "Ġpovol": 115217, + "abase": 115218, + "âĢ³N": 115219, + "Ú©ÙĪ": 115220, + "ĠУкÑĢаÑĹна": 115221, + "stanov": 115222, + "ĠÑĥÑĩаÑģÑĤи": 115223, + "Ġhlad": 115224, + "ĠÑĢаÑģÑģказ": 115225, + "ãģ¿ãģŁãģĦ": 115226, + "á½°": 115227, + "ĠåĽŀ": 115228, + "ĠÆ°Æ¡ng": 115229, + "αÏģά": 115230, + "خب": 115231, + "æįķ": 115232, + "ÃŃÅĻ": 115233, + "ĠسÛĮÙĨ": 115234, + "Âłin": 115235, + "ĠMÄĽst": 115236, + "æķĻåѦ": 115237, + "ĠоÑģобиÑģÑĤ": 115238, + "uji": 115239, + "çĶ»åĥı": 115240, + "ĠداÙĨØ´ÙĨاÙħÙĩ": 115241, + "ìĿ´ìķ¼": 115242, + "ĠзапиÑĤ": 115243, + "ĠÑģвоими": 115244, + "Û²Û°Û²": 115245, + "ï¼Įå°Ĩ": 115246, + "ãĥ¼ãģ®": 115247, + "ĠthÃŃ": 115248, + "ĠÙħتÙĪسط": 115249, + "à¥ĩĊ": 115250, + "å¤ļå°ij": 115251, + "ï¼ĮçĦ¶åIJİ": 115252, + "íĹĪ": 115253, + "Ġà¤Ńà¤Ĺ": 115254, + "Ġåı·": 115255, + "Ġteor": 115256, + "åĤ¨": 115257, + "ĠÑĢÑĸÑĩ": 115258, + "ĠÑģÑĤаÑĤÑĤÑĸ": 115259, + "ĠرابطÙĩ": 115260, + "Ġï¼ľ": 115261, + "باØŃ": 115262, + "ิà¸Ļà¸Ĺาà¸ĩ": 115263, + "à¥ĩà¤ĤĊ": 115264, + "ائÙĤ": 115265, + "ĠاÙĦجدÙĬد": 115266, + "liÄį": 115267, + "اØŃÙĦ": 115268, + "ménÄĽ": 115269, + "Ġbầu": 115270, + "ĠÐĴал": 115271, + "Ġблагод": 115272, + "еÑĤелÑĮ": 115273, + "å¹³åĿĩ": 115274, + "мин": 115275, + "Ġsürec": 115276, + "Ġзавод": 115277, + "èįIJ": 115278, + "ÑĤий": 115279, + "лоб": 115280, + "Ġвок": 115281, + "ladıģı": 115282, + "اÙĬÙĬ": 115283, + "ê²łìĬµëĭĪëĭ¤": 115284, + "Ġamacıyla": 115285, + "ï¼ĮåĽłä¸º": 115286, + "ãģ§ãģĤãģ£ãģŁ": 115287, + "ĠشرÙĪع": 115288, + "æŁĶ": 115289, + "'nun": 115290, + "окол": 115291, + "Ġciddi": 115292, + "Ġbụ": 115293, + "Ġyapılacak": 115294, + "ĠÑĩÑĥвÑģÑĤв": 115295, + "ìĤ¬ìĿĺ": 115296, + "à¸Ńà¸Ļà¸Ķ": 115297, + "ÎĹΤ": 115298, + "Ġëĭ¤ìĸij": 115299, + "ëĭ¤ë©´": 115300, + "imizi": 115301, + "ä¹Ĥ": 115302, + "ãģ²ãģ¨": 115303, + "ĠéĿŀ": 115304, + "âĢĮپدÛĮا": 115305, + "ä¹ĺ": 115306, + "ãĥĬãĥ«": 115307, + "ĠпÑĸдпÑĢиÑĶмÑģÑĤва": 115308, + "à¹ij": 115309, + "è¿Ŀ": 115310, + "ĠÙħÙĨÙĩ": 115311, + "ÑĢик": 115312, + "аÑĢÑĸв": 115313, + "Ġкого": 115314, + "ĠÙĤص": 115315, + "ĠæĿ¥": 115316, + "ĠPhòng": 115317, + "Ġово": 115318, + "ĠпеÑĢева": 115319, + "飲": 115320, + "à¤Ĥà¤Łà¤°": 115321, + "ÙĬرا": 115322, + "ildiÄŁi": 115323, + "etin": 115324, + "Ïĩεία": 115325, + "Ġzahrani": 115326, + "ÙĪجد": 115327, + "Ġç¯": 115328, + "ารย": 115329, + "Ġзако": 115330, + "ĠتÙĤس": 115331, + "ãĤ¹ãĤ¿ãĥ¼": 115332, + "æĿ°": 115333, + "ĠãĤ°": 115334, + "Ġé»Ħ": 115335, + "ĠÐļогда": 115336, + "५": 115337, + "Ġ次": 115338, + "ĠвÑĭÑĢаж": 115339, + "ĠchÄĥm": 115340, + "лÑıÑĶÑĤÑĮÑģÑı": 115341, + "دÙĩÙħ": 115342, + "Ġvrch": 115343, + "çºĮ": 115344, + "поÑĢ": 115345, + "ĠmaÄŁ": 115346, + "å¾ĴæŃ©": 115347, + "podob": 115348, + "ะà¹ģ": 115349, + "éģ¸æīĭ": 115350, + "帯": 115351, + "Ġsebou": 115352, + "inize": 115353, + "ĠÐľÐ°Ðº": 115354, + "ĠæĻ®": 115355, + "ĠÏħÏĢάÏģÏĩ": 115356, + "ĠÄIJÃł": 115357, + "ĠBrno": 115358, + "ĠÅ¡ÃŃ": 115359, + "اÙĦص": 115360, + "Ġnghiêm": 115361, + "Ġonları": 115362, + "ĠužÃŃ": 115363, + "èĩªåĪĨãģ®": 115364, + "ĠнаÑħодиÑĤÑģÑı": 115365, + "Ġjsi": 115366, + "Ġसमर": 115367, + "ĠÏĨÏī": 115368, + "Û±Û¹Û¸": 115369, + "Ġà¤ľà¤Ĺह": 115370, + "éŃļ": 115371, + "ìĿ¸ê°Ģ": 115372, + "ÄIJiá»ģu": 115373, + "ĠأعÙĦاÙħ": 115374, + "à¥ĩà¤Ĥ।Ċ": 115375, + "å½¢æĪIJ": 115376, + "Ġikt": 115377, + "Ġzdroj": 115378, + "ĠAmerik": 115379, + "ΡÎĵ": 115380, + "à¸ĩส": 115381, + "ĠíĴĢ": 115382, + "ÑģолÑİÑĤ": 115383, + "ÙĪÙĬت": 115384, + "Ġgörüntü": 115385, + "аннÑĭÑħ": 115386, + "ĠØ£ÙĤ": 115387, + "ĠмиÑĢ": 115388, + "å«Į": 115389, + "Ġmá»iji": 115390, + "Ġderin": 115391, + "éĴĪ": 115392, + "ĠмаÑĪи": 115393, + "측": 115394, + "ĠجÙĨÙĪب": 115395, + "ĠÑģло": 115396, + "ãĢĤä¸Ģ": 115397, + "ениÑıÑħ": 115398, + "ĠÑĩоловÑĸк": 115399, + "Ġyana": 115400, + "ĠокÑĤ": 115401, + "ĠнеÑĢ": 115402, + "æĪ¶": 115403, + "нÑĮомÑĥ": 115404, + "ĠÑĸмен": 115405, + "ãĤıãģŁãģĹ": 115406, + "ĠÎĵια": 115407, + "ãĢģç§ģ": 115408, + "Ġkou": 115409, + "ĠÑĨеÑĢк": 115410, + "layarak": 115411, + "ãĢĩ": 115412, + "اÙĦس": 115413, + "ÂłT": 115414, + "ĠдÑĢÑĥж": 115415, + "ĠдвоÑĢ": 115416, + "λί": 115417, + "ĠëĨĢ": 115418, + "Ġteplot": 115419, + "Ùģات": 115420, + "бÑĸ": 115421, + "Ġgüvenlik": 115422, + "nÄĽn": 115423, + "è©©": 115424, + "Ġinsanların": 115425, + "ĠìĦ¤ì¹ĺ": 115426, + "èĵĿ": 115427, + "avatel": 115428, + "jev": 115429, + "ĠÚĨرا": 115430, + "Ġgerekiyor": 115431, + "ãĥĥãĤ°": 115432, + "ĠÃĩok": 115433, + "ĠÙĪجÙĩ": 115434, + "ĠÑĥли": 115435, + "Âij": 115436, + "åijĢ": 115437, + "ĠоÑĢганизаÑĨии": 115438, + "ĠÑĸÑģнÑĥ": 115439, + "Ġnebude": 115440, + "Ġë°¤": 115441, + "ä¸ĬãģĮ": 115442, + "Ġधन": 115443, + "ĠرÙĪابط": 115444, + "γγελ": 115445, + "ĠдоÑģÑıг": 115446, + "ĠاÙĦÙĤدÙħ": 115447, + "ĠзнаÑħод": 115448, + "ĠÄįÃŃslo": 115449, + "ÅŁk": 115450, + "ĠاÙĦدÙĬÙĨ": 115451, + "Ġgünlük": 115452, + "ÙĥÙĬÙĬÙģ": 115453, + "ÎŃÏģα": 115454, + "à¸ķรว": 115455, + "ĠналиÑĩи": 115456, + "اÙħÛĮÙĨ": 115457, + "Ġμικ": 115458, + "Ġdönemde": 115459, + "à¹Īà¸Ĺ": 115460, + "æĥij": 115461, + "à¥ĭà¤Ĥ,": 115462, + "ÑĩÑı": 115463, + "ãģ¾ãĤĭ": 115464, + "ĠاÙĦتÙĨ": 115465, + "ÑĢаг": 115466, + "ëĵ¤ê³¼": 115467, + "ŃĶ": 115468, + "ĠÙħÙĨÙĩا": 115469, + "ĠThế": 115470, + "éIJµ": 115471, + "Ġï¾Ħ": 115472, + "ĠاÙĦإسÙĦاÙħ": 115473, + "ãĤ¦ãĤ¹": 115474, + "ÙĬدÙĬ": 115475, + "Ġå¾Ĺ": 115476, + "ĠзаÑĢаз": 115477, + "ãĤ¸ãĥ¥": 115478, + "Ġتعد": 115479, + "iÃŃ": 115480, + "Ġçocu": 115481, + "ozici": 115482, + "Ġë²Ķ": 115483, + "ĠØ¢ÙħدÙĩ": 115484, + "ÑĦик": 115485, + "ĠпоÑģÑĤанов": 115486, + "Ġkrálov": 115487, + "¨¨": 115488, + "Ġì¤ijìļĶ": 115489, + "ĠGWei": 115490, + "Ġvývoj": 115491, + "Ġboyut": 115492, + "Ġnek": 115493, + "اÙĩاÛĮ": 115494, + "ĠstranÄĽ": 115495, + "ием": 115496, + "ĠпоÑĢаж": 115497, + "à¥įरदर": 115498, + "é¡ĶãĤĴ": 115499, + "ĠYüz": 115500, + "ĠознаÑĩа": 115501, + "à¹ģลà¸Ļà¸Ķ": 115502, + "ĠبÙĩرÙĩ": 115503, + "енÑĤÑĥ": 115504, + "ĠÐĿад": 115505, + "ĠÐŁÐ¾Ð»ÑĮ": 115506, + "ãĥĹãĥª": 115507, + "ῶ": 115508, + "âĢĮپدÛĮاÛĮ": 115509, + "ĠپاÙĪرپÙĪÛĮÙĨت": 115510, + "ิà¸ģา": 115511, + "ĠενÏİ": 115512, + "ĠساÛĮر": 115513, + "éģº": 115514, + "ãĢģä»Ĭ": 115515, + "ĠLê": 115516, + "äºĭæĥħ": 115517, + "ĠYer": 115518, + "èħ°": 115519, + "ĠاÙĦرسÙħ": 115520, + "ĠاÙĦÙħÙĪÙĤع": 115521, + "ĠhÃłm": 115522, + "ĠдÑĢев": 115523, + "átel": 115524, + "ĠвÑģÑij": 115525, + "ìĺ¥": 115526, + "ĠMec": 115527, + "ãĤĽ": 115528, + "Ġصاد": 115529, + "Ġگردد": 115530, + "Ġkrás": 115531, + "èĮĥåĽ´": 115532, + "alarına": 115533, + "èĻļ": 115534, + "ĠØ¢ÙĪرد": 115535, + "ç¼ĵ": 115536, + "ิà¸ŀ": 115537, + "Ġãĥĭ": 115538, + "ĠæĢ§": 115539, + "ĠÙħÙĨØ°": 115540, + "ç·´": 115541, + "Ġê¶ģ": 115542, + "ваем": 115543, + "ĠζÏī": 115544, + "Ġnavr": 115545, + "ÏĥÏĦαÏĥη": 115546, + "Ġرأ": 115547, + "Ġdopl": 115548, + "＿＿＿": 115549, + "çĶļèĩ³": 115550, + "Äįel": 115551, + "æĦıåij³": 115552, + "ç¥Ń": 115553, + "Ãĺ": 115554, + "ÑģÑĤвеннÑĭе": 115555, + "裡": 115556, + "ĠãĢī": 115557, + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 115558, + "Ġвал": 115559, + "Ġẩm": 115560, + "Ġdiyor": 115561, + "à¸Ńà¸ĩà¸Īาà¸ģ": 115562, + "ĠPhó": 115563, + "ĠÐĵе": 115564, + "ĠвеÑĢеÑģ": 115565, + "Ġkonz": 115566, + "رز": 115567, + "ĠÑģобоÑİ": 115568, + "Ġεκεί": 115569, + "ìĺģìĸ´": 115570, + "iag": 115571, + "ĠÑģенÑĤ": 115572, + "Ġnấu": 115573, + "Ġjaké": 115574, + "Ġrozh": 115575, + "Ġбог": 115576, + "ÙĨاد": 115577, + "ĠاÙħÙĪر": 115578, + "à¹Įà¸ģาร": 115579, + "ĠYaÅŁ": 115580, + "éĪ": 115581, + "åķª": 115582, + "Ġonay": 115583, + "ìĹĩ": 115584, + "omu": 115585, + "ÑĨÑĸйного": 115586, + "ĠÑģал": 115587, + "ĠΣÏħν": 115588, + "Ġsavun": 115589, + "å¦Ļ": 115590, + "à¸Īะม": 115591, + "ãĤ¹ãĤ¯": 115592, + "Ġdosy": 115593, + "ľĺ": 115594, + "먹": 115595, + "Ġminul": 115596, + "ãĢĭĊ": 115597, + "åģı": 115598, + "ĠÐļаÑĤ": 115599, + "Ġedilmesi": 115600, + "ÑĨÑĸÑĶн": 115601, + "ìĦ±ìĿ´": 115602, + "åĸĶ": 115603, + "ĠвÑĸÑĢ": 115604, + "è¯ij": 115605, + "ाà¤ĩड": 115606, + "ĠÙĪÙĤتÛĮ": 115607, + "ÄIJá»ĥ": 115608, + "ĠvyÅ¡Å¡ÃŃ": 115609, + "Äįila": 115610, + "адÑĥ": 115611, + "çī¹åĪ¥": 115612, + "ĠìĿ¸ê¸°": 115613, + "ujÃŃcÃŃch": 115614, + "ĠPodle": 115615, + "ĠyavaÅŁ": 115616, + "Ļæ±Ł": 115617, + "Ġkayb": 115618, + "åĬª": 115619, + "ç´¹": 115620, + "ĠобÑĢабоÑĤ": 115621, + "ĠмаÑı": 115622, + "ĠåıĬ": 115623, + "æİ¥åıĹ": 115624, + "ÙĨتÛĮ": 115625, + "ĠÏĩÏİ": 115626, + "ÑĤÑĢо": 115627, + "Ġuyar": 115628, + "ĠعÙħÙĦکرد": 115629, + "ĠоÑĨен": 115630, + "ĠмеÑģÑĤа": 115631, + "à¸ķลาà¸Ķ": 115632, + "ÙħÙĤ": 115633, + "ildren": 115634, + "ĠзавиÑģиÑĤ": 115635, + "ÂłĠÂł": 115636, + "Ġmožná": 115637, + "æĺŃåĴĮ": 115638, + "ırken": 115639, + "кин": 115640, + "åĿĤ": 115641, + "ÏĦÏĥι": 115642, + "ĠÑĩÑĥд": 115643, + "Ðļон": 115644, + "islav": 115645, + "ĠÐļÑĢаÑģ": 115646, + "Nej": 115647, + "Âłb": 115648, + "rof": 115649, + "Ġileri": 115650, + "ĠÐŀÑĢ": 115651, + "ĠChá»ī": 115652, + "Ġnüfus": 115653, + "ĠÑĸнÑĤ": 115654, + "!âĢľ": 115655, + "Ġनर": 115656, + "主ä¹ī": 115657, + "ĠتÙĨظ": 115658, + "ůvodu": 115659, + "ĠгоÑĢода": 115660, + "Ġkural": 115661, + "Ġjedin": 115662, + "ÑĢаÑĤег": 115663, + "åĢº": 115664, + "Ġzpůsobem": 115665, + "ìĿ¸ìĿĺ": 115666, + "ĠÙĨب": 115667, + "ĠNga": 115668, + "ĠÐĿай": 115669, + "ĠاÙģزار": 115670, + "нÑĥвÑģÑı": 115671, + "ĠдвоÑħ": 115672, + "Ġrozp": 115673, + "είοÏħ": 115674, + "Ġοικο": 115675, + "ĠGeç": 115676, + "ÂĹ": 115677, + "Ġchiếm": 115678, + "ĠÑĢаÑģпÑĢоÑģÑĤÑĢан": 115679, + "ĠhÆ°Æ¡ng": 115680, + "èĩªåĭķ": 115681, + "ĠÙħÙĪÙģÙĤ": 115682, + "æĮ¥": 115683, + "ï¼ģâĢĿĊĊ": 115684, + "ÏģοÏĨοÏģ": 115685, + "èıĮ": 115686, + "ãĥ´ãĤ¡": 115687, + "欧ç¾İ": 115688, + "ĠÑĤепло": 115689, + "ãģĤãģĤ": 115690, + "ãĤ¦ãĥ³": 115691, + "ĠÅŁeyi": 115692, + "Ġsüt": 115693, + "ãģ¹ãģ¦": 115694, + "ãĥ³ãĥij": 115695, + "μÎŃνÏīν": 115696, + "Ġgenellikle": 115697, + "ĠدرÙħاÙĨ": 115698, + "Ùª": 115699, + "Ġakıl": 115700, + "ĠÐľÑĭ": 115701, + "ĠetmiÅŁ": 115702, + "Å¡la": 115703, + "ĠвозможноÑģÑĤÑĮ": 115704, + "Ġgüncel": 115705, + "Ġnáro": 115706, + "å½¢å¼ı": 115707, + "ĠαÏĢοÏĦε": 115708, + "ĠмÑĸÑģÑĨÑı": 115709, + "Ġرض": 115710, + "ä¸įçŁ¥éģĵ": 115711, + "rava": 115712, + "ĠÎļά": 115713, + "ิà¸Ļà¸Ĺร": 115714, + "ĠлиÑģÑĤÑĮ": 115715, + "èĨľ": 115716, + "ãģ«ãģªãĤĬ": 115717, + "ĠæĿ¾": 115718, + "å®ı": 115719, + "ĠмиÑģ": 115720, + "átnÃŃ": 115721, + "Ġyıllık": 115722, + "ĠMerkezi": 115723, + "Ġiçeri": 115724, + "ÅĻÃŃž": 115725, + "ĠpÅĻe": 115726, + "ÏĩÏģι": 115727, + "Ġåįĥ": 115728, + "Ġsrp": 115729, + "à¹Ĥà¸Ĺร": 115730, + "ĠKrál": 115731, + ".Σ": 115732, + "ával": 115733, + "léd": 115734, + "Ġλα": 115735, + "ียวà¸ģ": 115736, + "ãģıãģª": 115737, + "ĠvÅ¡ichni": 115738, + "ĠпÑĢедоÑģÑĤав": 115739, + "ì¿": 115740, + "Ġ구ê¸ĢìĥģìľĦ": 115741, + "Ġà¤īपलब": 115742, + "воз": 115743, + "ĠëħĦëıĦë³Ħ": 115744, + "､_": 115745, + "à¸ļรร": 115746, + "ĠÑģвÑĸÑĤÑĥ": 115747, + "ĠÑĢÑĥблей": 115748, + "lenme": 115749, + "lÃŃÄį": 115750, + "ÏĦει": 115751, + "Ġåı¤": 115752, + "ĠObrázky": 115753, + "Ġìĺģíĸ¥": 115754, + "ĠгÑĢаждан": 115755, + "íĤ¹": 115756, + "Ġsahiptir": 115757, + "ĠпоÑĩаÑĤкÑĥ": 115758, + "ĠØ£ÙĬض": 115759, + "ĠÑĤоÑĢгов": 115760, + "Ġgelecek": 115761, + "Ġ문íĻĶ": 115762, + "ikleri": 115763, + "ĠнеобÑħÑĸдно": 115764, + "Ġäºij": 115765, + "ovol": 115766, + "Ġदल": 115767, + "ĠìķĬê³ł": 115768, + "Ġмг": 115769, + "Ġzjist": 115770, + "anlı": 115771, + "ัà¸ĩà¸Ļ": 115772, + "ÑĢаÑħов": 115773, + "ινη": 115774, + "ĠплоÑĤ": 115775, + "Ġnitel": 115776, + "ìĬ¤íģ¬": 115777, + "ĠSonra": 115778, + "ĠÑģбоÑĢ": 115779, + "ĠÏĥοÏħ": 115780, + "Ġolmam": 115781, + "Ġanaliz": 115782, + "à¹Įว": 115783, + "Ġmỹ": 115784, + "ceae": 115785, + "Ġден": 115786, + "веÑĢжд": 115787, + "Ả": 115788, + "ãģĵãģ¨ãĤĤ": 115789, + "ìĤ¬íķŃ": 115790, + "è¨Ģãģ£ãģŁ": 115791, + "Ġì¹´ì§Ģëħ¸": 115792, + "ÑĢиÑĤи": 115793, + "Ġchce": 115794, + "Ġçevir": 115795, + "ÛĮÛĮÙĨ": 115796, + "ä¼ļè®®": 115797, + "ัมà¸ŀ": 115798, + "ĠåĦ": 115799, + "Ġپدر": 115800, + "å¼ıä¼ļ社": 115801, + "ĠÑĨен": 115802, + "ิà¸ĸ": 115803, + "Ġjinak": 115804, + "ĠблÑİ": 115805, + "иÑĨин": 115806, + "ÙĴÙĩ": 115807, + "Ú©ÙĪر": 115808, + "Ġìķħ": 115809, + "eksiyon": 115810, + "ĠÑģвеÑĢ": 115811, + "ĠобÑĢазованиÑı": 115812, + "ĠãĥĻ": 115813, + "æľī人": 115814, + "Ġbilgileri": 115815, + "Ġhầu": 115816, + "еÑĢÑĸг": 115817, + "ĠvaÅ¡e": 115818, + "Ġnedir": 115819, + "ä¸įå¾Ĺ": 115820, + "ĠbaÅŁarılı": 115821, + "Ġkaybet": 115822, + "å©·": 115823, + "ĠÐĿав": 115824, + "Ġê´Ģíķľ": 115825, + "ÑģÑĤÑİ": 115826, + "å®ŀéĻħ": 115827, + "klady": 115828, + "даÑĤÑĮ": 115829, + "raç": 115830, + "Ġkuvvet": 115831, + "à¸ģารà¸Ĺ": 115832, + "åļ": 115833, + "ĠÑĢеп": 115834, + "Ġà¸Ŀ": 115835, + "ĠDiÄŁer": 115836, + "íĶĦíĬ¸": 115837, + "ĠnejvÄĽtÅ¡ÃŃ": 115838, + "Ġìłģìļ©": 115839, + "ĠonemocnÄĽnÃŃ": 115840, + "ака": 115841, + "ÐłÐ°Ð·": 115842, + "ĠÙģØ¥ÙĨ": 115843, + "ãĤµãĤ¤ãĤº": 115844, + "Ġvlád": 115845, + "Ġrady": 115846, + "ãĢģãģĵãĤĮ": 115847, + "ÑģÑĤвие": 115848, + "lıģa": 115849, + "åŃĶ": 115850, + "Ġáo": 115851, + "à¸Ńาà¸ģาศ": 115852, + "Ġà¤ıम": 115853, + "δαÏĤ": 115854, + "ĠапÑĢ": 115855, + "æİĽ": 115856, + "Ġç«ĭ": 115857, + "âĸıâĸı": 115858, + "ĠСм": 115859, + "Ġnemá": 115860, + "Ġè¢": 115861, + "νομα": 115862, + "ĠÙģرÙĪد": 115863, + "Ġülke": 115864, + "ĠæĺŁ": 115865, + "ัà¸Ļà¸ģ": 115866, + "ãģķãĤĵãģ®": 115867, + "eÅŁil": 115868, + "ÄŁiz": 115869, + "ĠÐijоÑĢ": 115870, + "Ġtầm": 115871, + "ειÏĦοÏħÏģγ": 115872, + "ĠγÏģα": 115873, + "à¥įषà¤ķ": 115874, + "Ġvẻ": 115875, + "Ġkendisine": 115876, + "ĠìķĮê³ł": 115877, + "ĠêµŃìłľ": 115878, + "ĠnÄĽkdo": 115879, + "ĠÛĮÙĩ": 115880, + "Ġکاربر": 115881, + "ãĥĻãĥ«": 115882, + "ï»´": 115883, + "Ġtuyên": 115884, + "Ġçat": 115885, + "âĢIJâĢIJ": 115886, + "Âı": 115887, + "ĠìĤ¬ìĹħ": 115888, + "éĨĴ": 115889, + "æıIJé«ĺ": 115890, + "æ·¡": 115891, + "ĠÄŁ": 115892, + "èĸ¦": 115893, + "ãĢĭï¼Ī": 115894, + "æ¡ĥ": 115895, + "ìĹĦ": 115896, + "ĠæŀĹ": 115897, + "ÄĤ": 115898, + "ĠÄĮech": 115899, + "αιο": 115900, + "ĠطرÙĬÙĤ": 115901, + "ĠзавеÑĢÑĪ": 115902, + "تÙĪبر": 115903, + "ĠØŃج": 115904, + "ĠÎŃÏĩοÏħν": 115905, + "¿ÃĤ": 115906, + "ĠdÄĽtÃŃ": 115907, + "Ġiçine": 115908, + "ĠChúa": 115909, + "аннÑĭй": 115910, + "ĠÙĪÛĮÚĺ": 115911, + "Ġnastav": 115912, + "ısına": 115913, + "ĠÑĹм": 115914, + "пон": 115915, + "енÑı": 115916, + "ĠÙĪظ": 115917, + "Ú¯ÙĦ": 115918, + "หลวà¸ĩ": 115919, + "Ġzastav": 115920, + "акон": 115921, + "³³³³³³³³³³³³³³³³³³³³³³³³³³³³³³³³": 115922, + "ĠKır": 115923, + "絶": 115924, + "ĠоÑĢганÑĸзаÑĨÑĸÑĹ": 115925, + "ãģŁãĤĬ": 115926, + "Ø°ÙĬ": 115927, + "Ġरà¤ķ": 115928, + "ampiyon": 115929, + "Ġæ¸ħ": 115930, + "çľ¼çĿĽ": 115931, + "ĠìķĬìĿĢ": 115932, + "鹿": 115933, + "Ġå¿ĥ": 115934, + "ĠпÑĢекÑĢаÑģ": 115935, + "ĠÑģегоднÑı": 115936, + "Ġसल": 115937, + "ĠÏħÏĢÏĮ": 115938, + "ĠÐķго": 115939, + "ĠÐĽÐ¸": 115940, + "ãĤ¨ãĥ«": 115941, + "ĠлÑİÑĤ": 115942, + "饰": 115943, + "Ġvzdál": 115944, + "¯ÃĤ": 115945, + "ĠнаÑıв": 115946, + "ĠتشکÛĮÙĦ": 115947, + "ĠسÙĪÛĮ": 115948, + "Ġtái": 115949, + "Ġkapı": 115950, + "ĠsvÄĽtÄĽ": 115951, + "δÏĮν": 115952, + "æ¼¢": 115953, + "ìį¨": 115954, + "ĠbaÅŁvur": 115955, + "ÑĢина": 115956, + "Ġkelim": 115957, + "аÑĤок": 115958, + "Ġκάθε": 115959, + "ĠYüksek": 115960, + "à¹ĩà¸Ļà¸ľ": 115961, + "éłĤ": 115962, + "åIJĮæĻĤ": 115963, + "ÅŁtır": 115964, + "วà¸ĩศ": 115965, + "oty": 115966, + "Ġارد": 115967, + "ĠìŀIJìĭłìĿĺ": 115968, + "ĠÑıнва": 115969, + "üyordu": 115970, + "æĿ¨": 115971, + "ĠâĢĵĊ": 115972, + "ï¼Įå®ĥ": 115973, + "ейн": 115974, + "ĠпеÑĢеÑĤ": 115975, + "ĠdeÄŁiÅŁiklik": 115976, + "ĠогÑĢаниÑĩ": 115977, + "ìĦľìļ¸": 115978, + "Ġgeliyor": 115979, + "ĠپذÛĮر": 115980, + "åĵ²": 115981, + "eyin": 115982, + "ĠëıĪ": 115983, + "Ġuniverz": 115984, + "Ġhned": 115985, + "ĠtáºŃn": 115986, + "voÅĻÃŃ": 115987, + "Ġniên": 115988, + "dÄĽpodob": 115989, + "ìĤ¬íļĮ": 115990, + "ãģĮãģĤãĤĬ": 115991, + "ĠÑģÑĸÑĩ": 115992, + "''\"": 115993, + "Ġtoplantı": 115994, + "ĠÑģÑĩеÑĤ": 115995, + "åĩĨå¤ĩ": 115996, + "анÑĸÑı": 115997, + "Ġzel": 115998, + "vala": 115999, + "Ġапп": 116000, + "ĠاÙĦÙħÙĦÙĥ": 116001, + "ĠhoÅŁ": 116002, + "ĠÐĵен": 116003, + "ÑĤаб": 116004, + "ĠÄĮesko": 116005, + "Ġмайже": 116006, + "ĠmÄĽsto": 116007, + "yonel": 116008, + "거리": 116009, + "Ġìĺ¨ëĿ¼ìĿ¸": 116010, + "ç´¯": 116011, + "Ġderec": 116012, + "ĠокÑĢÑĥж": 116013, + "Ġyabancı": 116014, + "ĠíĦ°": 116015, + "ĠèµĦ": 116016, + "ÎĻÎļÎĹ": 116017, + "ĠпÑĭ": 116018, + "ĠvÄĽn": 116019, + "инки": 116020, + "ụp": 116021, + "æľºæ¢°": 116022, + "ĠìķĮ볤": 116023, + "ëħķ": 116024, + "ĠλÏĮγ": 116025, + "eyn": 116026, + "ĠëIJĺìĹĪëĭ¤": 116027, + "污": 116028, + "Ġvedle": 116029, + "ĠÙĥتب": 116030, + "맨": 116031, + "ĠÙħÙĤاÙĪ": 116032, + "å¹´ãģ«": 116033, + "ाà¤ĩà¤ķ": 116034, + "ĠÑģÑĤоÑģ": 116035, + "ĠÏĥÏĦοÏħÏĤ": 116036, + "меÑĤÑĮ": 116037, + "Ġesas": 116038, + "ëIJĺê³ł": 116039, + "ĠkvÄĽtna": 116040, + "Ġéľ": 116041, + "dük": 116042, + "åŁ·": 116043, + "èªĮ": 116044, + "Ġmluv": 116045, + "ĠпÑĢинÑı": 116046, + "Ġpoté": 116047, + "ĠÚ©ÙĨÙħ": 116048, + "ĠпÑĢедлож": 116049, + "ĠÐľÐ¾Ñģква": 116050, + "ï¼Įå¦Ĥ": 116051, + "Ġsvém": 116052, + "ĠاÙħÙĨ": 116053, + "สาย": 116054, + "ĠÑĥменÑĮ": 116055, + "Ġãģĵãģ®": 116056, + "åīĤ": 116057, + "ĠÑģеÑĢÑĮ": 116058, + "Ġmá»ĩ": 116059, + "Ġä¹Ŀ": 116060, + "ĠзакÑĸн": 116061, + "ĠвелиÑĩ": 116062, + "ĠконÑĤÑĢа": 116063, + "ĠSosyal": 116064, + "Ġyukarı": 116065, + "ĠدÙĪب": 116066, + "侧": 116067, + "Ġзамен": 116068, + "ï»®": 116069, + "ĠsobÄĽ": 116070, + "ĠТакже": 116071, + "Ðİ": 116072, + "εδ": 116073, + "ÙħارÛĮ": 116074, + "ξι": 116075, + "ì¹Ń": 116076, + "ĠплаÑģÑĤи": 116077, + "ÏĥοÏħν": 116078, + "èľĺèĽĽè¯į": 116079, + "ÙĪÛĮزÛĮ": 116080, + "ĠnapÅĻ": 116081, + "ĠÑĤипа": 116082, + "à¥Ĥà¤Ľ": 116083, + "ĠÅŁah": 116084, + "лÑıÑĤи": 116085, + "بÛĮر": 116086, + "ระยะ": 116087, + "ĠболÑĮÑĪин": 116088, + "ÏĦηÏĦα": 116089, + "Ġíıīê°Ģ": 116090, + "Ġprojev": 116091, + "òi": 116092, + "ĠкнÑı": 116093, + "ÏĨεÏģ": 116094, + "еÑĢÑĥ": 116095, + "Ñįн": 116096, + "ĠعÙħÙĦÛĮ": 116097, + "à¤łà¤¨": 116098, + "ãĥ³ãĤ¯": 116099, + "ĠìķĦëŀĺ": 116100, + "ÎĪ": 116101, + "Ġباست": 116102, + "ĠتÙĥ": 116103, + "aÄįnÃŃ": 116104, + "ĠлÑĸкÑĥваннÑı": 116105, + "à¸Ħà¹Ĥà¸Ļ": 116106, + "Ġèĥ½": 116107, + "θλη": 116108, + "lenmiÅŁ": 116109, + "Ġlá»Ļ": 116110, + "Ġsilah": 116111, + "ĠAustr": 116112, + "ØŃÙĤ": 116113, + ".***.***": 116114, + "ì©": 116115, + "ĠgÃł": 116116, + "ĠبازبÛĮÙĨÛĮ": 116117, + "ĠÄijÃłn": 116118, + "ÃŃky": 116119, + "ĠÎķν": 116120, + "ضÙħ": 116121, + "å§ĵ": 116122, + "ĠÙĨÙĪÛĮس": 116123, + "Ġskupiny": 116124, + "ĠسÛĮد": 116125, + "Ġaldıģı": 116126, + "meli": 116127, + "виж": 116128, + "ì¹ĺëĬĶ": 116129, + "оваÑħ": 116130, + "Ġæ©": 116131, + "Ø´ÙĨاسÛĮ": 116132, + "Ġnimi": 116133, + "ĠÐĵÑĢи": 116134, + "íĹĮ": 116135, + "Ġкв": 116136, + "éŁĵ": 116137, + "ĠíĽĦ기": 116138, + "ĠstÅĻÃŃ": 116139, + "ĠкÑĸлÑĮкÑĸÑģÑĤÑĮ": 116140, + "ĠBakanlıģı": 116141, + "ĠменÑĮÑĪе": 116142, + "اÙĪÛĮ": 116143, + "ĠارÙĪÙ¾": 116144, + "Ġèī²": 116145, + "ĠÚ©ÙĪÚĨÚ©": 116146, + "ĠAynı": 116147, + "ĠäºĨ": 116148, + "ĠسÙģر": 116149, + "ĠÑĤеаÑĤ": 116150, + "ĠvÄĽd": 116151, + "аÑĢов": 116152, + "Ġобмеж": 116153, + "ĠìķĬìķĺ": 116154, + "追åĬł": 116155, + "éłĪ": 116156, + "dÄĽlenÃŃ": 116157, + "Ġkims": 116158, + "Ġèı²": 116159, + "ĠгÑĢÑĥн": 116160, + "ĠØ¢ÙĦÙħاÙĨ": 116161, + "Ġавг": 116162, + "ĠÑīоÑģÑĮ": 116163, + "Ġå¾·": 116164, + "ĠÐĿаÑĨÑĸоналÑĮ": 116165, + "æĪIJç«ĭ": 116166, + "ูà¸Ļย": 116167, + "ãĥ¼ãĥ«ãĥī": 116168, + "éĽ²": 116169, + "ĠTá»ķ": 116170, + "cılık": 116171, + "ĠAlmanya": 116172, + "ĠovÅ¡em": 116173, + "Âĭ": 116174, + "ĠÏĩÏģηÏĥιμοÏĢοι": 116175, + "Ġörgüt": 116176, + "िसस": 116177, + "èĹĿ": 116178, + "ĠGiải": 116179, + "Ġsvob": 116180, + "Ġrůzných": 116181, + "Ġsmlouvy": 116182, + "ÑĢеÑģÑģ": 116183, + "ีà¹Ģà¸Ķ": 116184, + "ĠاÙħرÙĪز": 116185, + "ãĤħ": 116186, + "åĿ¦": 116187, + "à¹īà¸Ħ": 116188, + "Ġкаж": 116189, + "å¼Ĺ": 116190, + "ÑĩноÑĹ": 116191, + "åľĪ": 116192, + "ĠØ¢ÙĩÙĨÚ¯": 116193, + "몰": 116194, + "Ġæº": 116195, + "ĠèĦ": 116196, + "ä¸ĢæŃ¥": 116197, + "оÑĩка": 116198, + "Ġprostor": 116199, + "Ġngắn": 116200, + "Ġç·": 116201, + "наÑĢ": 116202, + "Ġà¤ľà¤µ": 116203, + "ĠнаÑĩалÑĮ": 116204, + "Ġнедел": 116205, + "ĠÑģиÑģÑĤемÑĥ": 116206, + "جÙĬ": 116207, + "ادات": 116208, + "Ġæ¢": 116209, + "ĠجاÙħعة": 116210, + "Ġä»İ": 116211, + "Ġà¤ħफ": 116212, + "èĸĦ": 116213, + "ĠباÙĤ": 116214, + "بÙĬع": 116215, + "ãģķãĤĮãģ¦": 116216, + "ĠÃĩalÄ±ÅŁ": 116217, + "Ø®ÙĪاست": 116218, + "ãĥĥãĤ·ãĥ¥": 116219, + "ĠØŃسÛĮÙĨ": 116220, + "ĠобнаÑĢÑĥж": 116221, + "вÑĸдом": 116222, + "Ġhôm": 116223, + "ланд": 116224, + "Ġà¤µà¤ľà¤¹": 116225, + "سÙĬÙĨ": 116226, + "æłı": 116227, + "ĠnavÃŃc": 116228, + "ãĤµãĤ¤ãĥĪ": 116229, + "ĠÑıкомÑĥ": 116230, + "ĠíĽ": 116231, + "ĠYani": 116232, + "ãĤĵãģ§ãģĻ": 116233, + "ĠгÑĢÑĥп": 116234, + "Äįný": 116235, + "ÑĨик": 116236, + "ÙĪÙĬر": 116237, + "ĠXã": 116238, + "Ġfyz": 116239, + "Ġï½ī": 116240, + "âĢĮترÛĮÙĨ": 116241, + "à¤Łà¤ķ": 116242, + "ÑĦоÑĢми": 116243, + "ĠOyun": 116244, + "åł´æīĢ": 116245, + "ØŃØ«": 116246, + "ĠìķĮìķĦ": 116247, + "ÑĢавилÑĮ": 116248, + "ï¼ĮâĢĿ": 116249, + "boru": 116250, + "ĠKullan": 116251, + "ĠKaynak": 116252, + "Ġê°ĸ": 116253, + "ç´Ķ": 116254, + "ï¼Įæ¯ı": 116255, + "ÎĹΡ": 116256, + "Ġpůl": 116257, + "ĠгоÑģÑĤ": 116258, + "رÙĪÙħ": 116259, + "ï¼Įåį³": 116260, + "Û²Û³": 116261, + "ĠÙĨخست": 116262, + "Ġکسب": 116263, + "Ġà¹Ģà¸ļ": 116264, + "Ġyazar": 116265, + "jekt": 116266, + "à¹Ĥลย": 116267, + "ĠдобÑĢе": 116268, + "ĠپزشکÛĮ": 116269, + "ĠتÙĩÛĮÙĩ": 116270, + "ç¾İåľĭ": 116271, + "ноÑģÑıÑĤ": 116272, + "ëłĪìĬ¤": 116273, + "åĹ¯": 116274, + "ĠrÃłng": 116275, + "ĠÎķξ": 116276, + "аÑĤаÑĢ": 116277, + "kova": 116278, + "ĠÅŁeyler": 116279, + "خاص": 116280, + "ĠìķĪìłĦ": 116281, + "Ñīей": 116282, + "Ġë°Ŀ": 116283, + "âĢĮتÙĪاÙĨد": 116284, + "ãģĪãģ°": 116285, + "Ġvữ": 116286, + "ĠÑģама": 116287, + "ĠобоÑĢÑĥд": 116288, + "âĢĮباشد": 116289, + "à¹Įà¸Ń": 116290, + "Ġdetay": 116291, + "æĤ²": 116292, + "ÂĪ": 116293, + "ãĤ¦ãĤ£": 116294, + "ĠпÑĢавила": 116295, + "krét": 116296, + "à¹Įร": 116297, + "åĮ¹": 116298, + "Ġåħį": 116299, + "ĠÑģилÑĮно": 116300, + "ĠиÑģÑĤоÑĩ": 116301, + "ĠsaÄŁlar": 116302, + "ĠæѦ": 116303, + "íĸĪìĬµëĭĪëĭ¤": 116304, + "Không": 116305, + "à¹Īาà¸ĩà¹Ĩ": 116306, + "Û°Û°Û°": 116307, + "ĠرÙĤ": 116308, + "âĢĻÑıÑĤ": 116309, + "åĽ²": 116310, + "à¹ģà¸Ķà¸ĩ": 116311, + "Ġžádné": 116312, + "couz": 116313, + "Ãĭ": 116314, + "ĠпÑĸдгоÑĤов": 116315, + "ĠëĮĢíķĻ": 116316, + "Ġdünyanın": 116317, + "èĢģå¸Ī": 116318, + "èģĮä¸ļ": 116319, + "Ġyeri": 116320, + "à¥ĭà¤ķर": 116321, + "ĠبÙĩتر": 116322, + "ëĭĪìķĦ": 116323, + "ìĿĮìĿĦ": 116324, + "ĠæĮĩ": 116325, + "ãĢįï¼Ī": 116326, + "ĠÑģооÑĤвеÑĤÑģÑĤвии": 116327, + "æĬĵ": 116328, + "à¹Ĥà¸Ĺ": 116329, + "Ġtrá»ĵng": 116330, + "ĠпÑĢаÑĨÑĸ": 116331, + "ĠëĨĵ": 116332, + "à¤ĩन": 116333, + "Ġìłķë§IJ": 116334, + "ãĢķ": 116335, + "ĠcáºŃn": 116336, + "åĸĿ": 116337, + "Ġê³ĦìĨį": 116338, + "Ġä¸İ": 116339, + "å¥ı": 116340, + "ĠعاÙĦÙħ": 116341, + "ĠvysvÄĽt": 116342, + "ĠдоÑĢог": 116343, + "ĠнеÑĢв": 116344, + "ĠбеÑĤ": 116345, + "ĠпÑĢиÑĤ": 116346, + "овÑĭй": 116347, + "å·¡": 116348, + "Ùģاع": 116349, + "ÐļÐĺ": 116350, + "à¸ķรวà¸Ī": 116351, + "ĠÐľÐ°Ð¹": 116352, + "ëıĦë¡ľ": 116353, + "Ġzlat": 116354, + "ĠsaÄŁlam": 116355, + "Ïģαν": 116356, + "à¸Ĭร": 116357, + "å¹´ãģ®": 116358, + "à¸Ħรà¸Ńà¸ĩ": 116359, + "Âħ": 116360, + "Ġhoá": 116361, + "ĠдоволÑĮно": 116362, + "Ġolmaz": 116363, + "ĠpodmÃŃnky": 116364, + "ĠÑħозÑıй": 116365, + "æĻ´": 116366, + "ÑĢова": 116367, + "Ġlược": 116368, + "ानन": 116369, + "ĠкапиÑĤ": 116370, + "ĠÚĺاÙĨ": 116371, + "æľīäºĽ": 116372, + "ĠповеÑĢÑħноÑģÑĤи": 116373, + "ĠÑĨÑĸн": 116374, + "üyle": 116375, + "Ġjazy": 116376, + "ĠPhú": 116377, + "Ġसन": 116378, + "åĩºåĶ®": 116379, + "ÂłÐ´": 116380, + "ĠãĤ¯": 116381, + "çĶ±äºİ": 116382, + "à¥įपत": 116383, + "ĠاÙĦخاÙħ": 116384, + "ĠاصÙĦاØŃ": 116385, + "ĠتÛĮ": 116386, + "Ġtato": 116387, + "å¹¹": 116388, + "æ³½": 116389, + "à¸Ńà¸ģà¸Īาà¸ģ": 116390, + "ÑĥлÑİ": 116391, + "ĠвÑģп": 116392, + "mekte": 116393, + "à¥Ģफ": 116394, + "ĠÚĺÙĪئ": 116395, + "Ġlá»ĩnh": 116396, + "âĢĮکرد": 116397, + "íı¬ì¸ł": 116398, + "anki": 116399, + "Ġëĵ±ë¡ĿëĮĢíĸī": 116400, + "ĠãĤĿ": 116401, + "Ġارزش": 116402, + "Ġthú": 116403, + "Ġấn": 116404, + "è¡Į为": 116405, + "ĠÑģнова": 116406, + "꾸": 116407, + "Ġsouhlas": 116408, + "Ġвозв": 116409, + "ÏģÎŃÏĢει": 116410, + "ĠнÑĸÑĩого": 116411, + "нож": 116412, + "ÑĤик": 116413, + "ãģ©ãģĵ": 116414, + "ĠоÑģнове": 116415, + "ãĤ¥": 116416, + "à¸Ľà¸£à¸°à¸Īำ": 116417, + "Ġà¸Ĺà¸Ńà¸ĩ": 116418, + "Ġeksik": 116419, + "ĠÙĦØ¥": 116420, + "ãģĭãģ®": 116421, + "Ġãģª": 116422, + "-प": 116423, + "Ïģει": 116424, + "ĠìłĦ문": 116425, + "าà¸ģล": 116426, + "βε": 116427, + "íĬ¹ë³Ħ": 116428, + "íķĺë©´ìĦľ": 116429, + "à¸Ħà¹Ĥà¸Ļà¹Ĥลย": 116430, + "Ġ好": 116431, + "Ġyayım": 116432, + "ë§ĮëĤ¨": 116433, + "ĠкиÑģлоÑĤ": 116434, + "ĠÑįнеÑĢг": 116435, + "çĸ¾": 116436, + "Ġدش": 116437, + "Ġsoruml": 116438, + "Ġзаклад": 116439, + "à¸Ĭà¸Ńà¸ļ": 116440, + "ĠÙģرÙĩÙĨÚ¯ÛĮ": 116441, + "Ġà¤ıल": 116442, + "Ġë¹ĦêµIJ": 116443, + "lerce": 116444, + "ĠØ·ÙĦب": 116445, + "ãģ«ãģĹãģ¦": 116446, + "ĠÑıкоÑĹ": 116447, + "ĠاÙĦبتÙĩ": 116448, + "ĠÐľÐ°ÑĤ": 116449, + "åįĵ": 116450, + "Ġåħ¬åı¸": 116451, + "Ġsöyley": 116452, + "ĠìĥĪë¡ľìļ´": 116453, + "ĠÑĦаÑĢ": 116454, + "Ġaltına": 116455, + "Ġstavu": 116456, + "âĢĻı": 116457, + "alizace": 116458, + "ĠвиÑģÑĤÑĥп": 116459, + "æķĻå¸Ī": 116460, + "à¥Ģà¤ıस": 116461, + "odÄĽ": 116462, + "ĠÑĨÑĸл": 116463, + "ĠëĮĢìĥģ": 116464, + "ĠкоÑĤоÑĢом": 116465, + "ĠظرÙģ": 116466, + "éİ®": 116467, + "اÙģÙĬØ©": 116468, + "ĠìĹĨìĿ´": 116469, + "ĠμÏĮνο": 116470, + "ĠCÆ¡": 116471, + "寻": 116472, + "ÏĦιÏĥ": 116473, + "ĠãĤĦ": 116474, + "Ġjednoho": 116475, + "اا": 116476, + "etler": 116477, + "Ġवस": 116478, + "ĠÑĢазлиÑĩнÑĭÑħ": 116479, + "ĠجغراÙģ": 116480, + "Ġthừa": 116481, + "ĠгÑĢомадÑıн": 116482, + "॰": 116483, + "ĠاÙĦأخ": 116484, + "ĠнагÑĢÑĥз": 116485, + "績": 116486, + "à¥Ĥह": 116487, + "ĠпÑĢÑıмо": 116488, + "âĬ": 116489, + "ĠاÙĦØ£ÙĪÙĦÙī": 116490, + "æĸ°èģŀ": 116491, + "ĠìĥģíĻ©": 116492, + "itesi": 116493, + "ëį°ìĿ´íĬ¸": 116494, + "æŃ·": 116495, + "ï¼ĮèĢĮä¸Ķ": 116496, + "ãģ¯ãģļ": 116497, + "产çĶŁ": 116498, + "æ°ĹãģĮ": 116499, + "yslu": 116500, + "ìĸ´ëĤĺ": 116501, + "اکÙħ": 116502, + "âĢĥ": 116503, + ")ìĿĢ": 116504, + "ĠجستارÙĩاÛĮ": 116505, + "ÙĪØ«": 116506, + "ãħİ": 116507, + "Ġkavram": 116508, + "vál": 116509, + "æľŃ": 116510, + "æĤł": 116511, + "ìħĢ": 116512, + "hrad": 116513, + "ĠتÙĥÙĪÙĨ": 116514, + "ĠHòa": 116515, + "å¹´çļĦ": 116516, + "Ġçarp": 116517, + "Ġyolu": 116518, + "Ġdubna": 116519, + "ĠÐĴелик": 116520, + "Ġtôn": 116521, + "æķĮ": 116522, + "Ġcoi": 116523, + "Ġnakonec": 116524, + "ĠÑįÑĤÑĥ": 116525, + "íĨµëł¹": 116526, + "ÑĪел": 116527, + "Ġnebyl": 116528, + "inç": 116529, + "باÙĦØ¥ÙĨجÙĦÙĬزÙĬØ©": 116530, + "Ａ": 116531, + "онÑĮ": 116532, + "ĠнемаÑĶ": 116533, + "Ġê³łê°Ŀ": 116534, + "ĠÙĤطع": 116535, + "ĠÑĤеÑĢиÑĤоÑĢÑĸÑĹ": 116536, + "人ãģ¯": 116537, + "ĠΣα": 116538, + "éĤ£äºĽ": 116539, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 116540, + "iosper": 116541, + "íĤ¨": 116542, + "raki": 116543, + "اÛĮج": 116544, + "ÂłC": 116545, + "ĠаналÑĸз": 116546, + "ãĤıãĤĬ": 116547, + "ĠìķĦëĭĮ": 116548, + "ĠاÙĦعÙħÙĦÙĬØ©": 116549, + "lament": 116550, + "黨": 116551, + "ujÃŃcÃŃm": 116552, + "Ġrẻ": 116553, + "ä¸įåĪ°": 116554, + "Ġrezerv": 116555, + "ĠاÙĦØ°ÙĬÙĨ": 116556, + "æĭ¥": 116557, + "Ðĺн": 116558, + "Ġतहत": 116559, + "resi": 116560, + "Ġãĥ¢": 116561, + "лев": 116562, + "ãĢĢr": 116563, + "Ġä»Ĭ": 116564, + "Ġödem": 116565, + "Ġpotrav": 116566, + "ĠêµIJìĪĺ": 116567, + "ÑĢеди": 116568, + "ĠÎļÎijÎĻ": 116569, + "ĠнаÑĩала": 116570, + "Ġизб": 116571, + "ĠbÅĻezna": 116572, + "Ġledna": 116573, + "ÑĢÑĥÑİÑĤ": 116574, + "ĠмоÑĤ": 116575, + "åıĹåĪ°": 116576, + "ĠÑĢÑĥкÑĥ": 116577, + "Ỽm": 116578, + "adele": 116579, + "ĠÑĢозглÑı": 116580, + "åħIJ": 116581, + "ĠرÙĪاÙĨ": 116582, + "аков": 116583, + "ÑĥÑĢÑĭ": 116584, + "Ġazal": 116585, + "ĠÑĥкÑĢа": 116586, + "пион": 116587, + "ĠÄįlovÄĽ": 116588, + "äºĮäºĮäºĮäºĮ": 116589, + "ابÙĬ": 116590, + "Ġaslında": 116591, + "ë¹Ī": 116592, + "ĠвÑĢаÑĩ": 116593, + "룹": 116594, + "ĠгенеÑĢа": 116595, + "à¸ģารส": 116596, + "ĠÑģовÑģем": 116597, + "ÙĪÙĦا": 116598, + "Ġशब": 116599, + "ाà¤ĸण": 116600, + "ستاÙĨÛĮ": 116601, + "æĬ½": 116602, + "Ġrůz": 116603, + "ĠíĮIJ매": 116604, + "à¸ģารà¸ķ": 116605, + "ائÛĮ": 116606, + "asal": 116607, + "ĠÑĢабоÑĤÑĥ": 116608, + "à¥ĭलन": 116609, + "Ġ马": 116610, + "Ġlai": 116611, + "ói": 116612, + "vap": 116613, + "ëħĦìĹIJëĬĶ": 116614, + "ĠпеÑĢедбаÑĩ": 116615, + "ĠплеÑĩ": 116616, + "iddet": 116617, + "ĠÑĩоÑĢ": 116618, + "iyan": 116619, + "ãĢĢãĢĢãĢĢãĢĢãĢĢĠãĢĢ": 116620, + "ĠØŃرÙģÙĩ": 116621, + "大éĺª": 116622, + "Ñĩого": 116623, + "Ġки": 116624, + "اÙĪÙĬ": 116625, + "ĠbaÅŁlan": 116626, + "Ġmerkezi": 116627, + "©©": 116628, + "Ġراست": 116629, + "ĠëĬĶ": 116630, + "ĠÑģÑĢав": 116631, + "ĠвнÑĥÑĤÑĢи": 116632, + "ãĢĢãĥİ": 116633, + "åĿĽ": 116634, + "ĠвÑĤ": 116635, + "::/": 116636, + "ĠsözleÅŁ": 116637, + "ĠverdiÄŁi": 116638, + "ิยม": 116639, + "ĠÐŁÑĢоÑĤ": 116640, + "Ùĥار": 116641, + "ĠبÙĨدÛĮ": 116642, + "ÙıÙĪ": 116643, + "缴æĴŃ": 116644, + "ĠÙħÙĦÙĬ": 116645, + "Ġnutné": 116646, + "ะà¹ģà¸Ļà¸Ļ": 116647, + "ĠMã": 116648, + "Ġì´": 116649, + "à¹Īาม": 116650, + "моÑģ": 116651, + "ĠпоÑıви": 116652, + "Ġnghi": 116653, + "ĠëIJĺëĬĶ": 116654, + "Ñģклад": 116655, + "à¤Ĺल": 116656, + "ĠCá»Ļng": 116657, + "çŁ¥è¯Ĩ": 116658, + "Ġtaj": 116659, + "Ġعبر": 116660, + "éĻĦè¿ij": 116661, + "Ã¼ÄŁ": 116662, + "Ġê³µê³ł": 116663, + "è£ķ": 116664, + "âĢĮØ´ÙĨ": 116665, + "Ġgerçekten": 116666, + "nun": 116667, + "ÙħØ´": 116668, + "ê°ĢëĬ¥": 116669, + "ãĥ©ãĥ³ãĥī": 116670, + "ayacak": 116671, + "åįģä¸Ģ": 116672, + "ĠBảo": 116673, + "Ġyeterli": 116674, + "živ": 116675, + "ĠÙĬÙĨاÙĬر": 116676, + "Ġbýval": 116677, + "ìĽĶê¹Įì§Ģ": 116678, + "Ġnợ": 116679, + "Ġê´Ģê³Ħ": 116680, + "ĠíĿ¬": 116681, + "аÑİÑĤÑĮ": 116682, + "Ġgötür": 116683, + "Ġважно": 116684, + "浩": 116685, + "ĠìĿ¼ë¶Ģ": 116686, + "ÑĨÑĸйний": 116687, + "ëł¥ìĿĦ": 116688, + "ĠлеÑĩение": 116689, + "éĸ¢ä¿Ĥ": 116690, + "ĠTüm": 116691, + "ìĻĶ": 116692, + "éģĹ": 116693, + "ĠDön": 116694, + "ĠÑģпÑĸлÑĮ": 116695, + "ãĥģãĤ§": 116696, + "нÑıеÑĤÑģÑı": 116697, + "iltere": 116698, + "ĠíĮĢ": 116699, + "è¨Ńå®ļ": 116700, + "Ġrodin": 116701, + "ĠاÙĤتصاد": 116702, + "алÑĮне": 116703, + "à¥įà¤ķर": 116704, + "ĠvýbÄĽ": 116705, + "Ġtehlik": 116706, + "âĶIJ": 116707, + "ĠçĶ°": 116708, + "ÏģίÏĤ": 116709, + "iyel": 116710, + "Ġthiá»ĩu": 116711, + "ÏĪηÏĤ": 116712, + "Ġдве": 116713, + "ĠElekt": 116714, + "à¸ģà¸İ": 116715, + "оÑĢÑĥж": 116716, + "aÅŁÄ±": 116717, + "詳細": 116718, + "ĠاتÙģاÙĤ": 116719, + "Ġgắn": 116720, + "æ²Ĵæľī": 116721, + "ĠÙħطاÙĦعÙĩ": 116722, + "ÏĦιν": 116723, + "Ġokres": 116724, + "Ñľ": 116725, + "ê°Ķëĭ¤": 116726, + "ÐłÐ¾Ð·": 116727, + "å¾ĭ宾": 116728, + "ï¼īï¼Ī": 116729, + "Ġìļ´ìĺģìŀIJ": 116730, + "ãĤ«ãĥĨ": 116731, + "laÄį": 116732, + "à¥ĩबस": 116733, + "ĠoÄįi": 116734, + "-б": 116735, + "elerden": 116736, + "kových": 116737, + "ĠÄ°zmir": 116738, + "สมาà¸Ĭ": 116739, + "ladatel": 116740, + "Ġæ»": 116741, + "éĶĢåĶ®": 116742, + "ĠдоÑģлÑĸдженнÑı": 116743, + "ĠлÑĸкаÑĢ": 116744, + "Ġоднако": 116745, + "ĠVác": 116746, + "Ġè«": 116747, + "éĢ²è¡Į": 116748, + "以å¤ĸ": 116749, + "é³¥": 116750, + "ĠÙĨج": 116751, + "ĠbaÅŁkan": 116752, + "ĠopatÅĻenÃŃ": 116753, + "ارش": 116754, + "ضاÙģØ©": 116755, + "ãĤ¹ãĥ¬": 116756, + "ήν": 116757, + "ÄĽtÃŃ": 116758, + "วย": 116759, + "ĠرسÙĪÙĦ": 116760, + "ÅĻich": 116761, + "ĠpÅĻih": 116762, + "ÑĮми": 116763, + "çĦ¶èĢĮ": 116764, + "Ġthẳng": 116765, + "lamaz": 116766, + "ÙĢÙĢÙĢ": 116767, + "Ġì°¸ìŬ": 116768, + "ĠÙĨÙĪشتÙĩ": 116769, + "ĠÑģÑĤек": 116770, + "ãģ®ãģ¿": 116771, + "ĠÙĪاÙĦع": 116772, + "æķ¢": 116773, + "à¥Ģà¤Ĥ,": 116774, + "ÐŀÑģнов": 116775, + "имоÑģÑĤи": 116776, + "ĠÄĮeská": 116777, + "ÑĸÑĩний": 116778, + "ามารà¸ĸ": 116779, + "ekkür": 116780, + "Âłh": 116781, + "ικη": 116782, + "ĠتعÛĮÛĮÙĨ": 116783, + "коÑģÑĤÑĸ": 116784, + "ĠMustafa": 116785, + "Ġì¦ī": 116786, + "ãģ§ãģĤãĤĬ": 116787, + "å·¥ä¸ļ": 116788, + "ovÃŃd": 116789, + "ÐĿо": 116790, + "Ġسپس": 116791, + "Ú¯ÛĮرد": 116792, + "Ġпедагог": 116793, + "ĠکارÛĮ": 116794, + "ĠÑĪÑĤÑĥ": 116795, + "æĮĤ": 116796, + "Ø¢Ùħد": 116797, + "羣æĺ¯": 116798, + "Ġابت": 116799, + "ĠرئÛĮس": 116800, + "ĠدÛĮÙĨ": 116801, + "ÏĪε": 116802, + "Ġsezon": 116803, + "ĠçĨ": 116804, + "सन": 116805, + "ãĥ»ãĤ¢": 116806, + "ĠåħŃ": 116807, + "Ġè±": 116808, + "Ġìłľëª©": 116809, + "ĠÙħعد": 116810, + "ĠÙģÙĤد": 116811, + "éĤĬ": 116812, + "ΩΣ": 116813, + "Ġå¡": 116814, + "Ġobvyk": 116815, + "ĠìĿ´ëłĩê²Į": 116816, + "ĠбоÑĢоÑĤÑĮ": 116817, + "Û²Û±": 116818, + "Ġá»ijng": 116819, + "è¯Ĺ": 116820, + "ĠÄIJá»iji": 116821, + "ĠбеÑĢезнÑı": 116822, + "ĠsoÄŁ": 116823, + "Ġï¾į": 116824, + "ãĤĴãģ¤": 116825, + "ãģĹãĤĥ": 116826, + "еÑĢеÑĩ": 116827, + "ãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢ": 116828, + "æĪª": 116829, + "ĠاÙĦسعÙĪدÙĬØ©": 116830, + "ĠëĤ¨ìŀIJ": 116831, + "ĠAngiosper": 116832, + "????????????????": 116833, + "Ġprům": 116834, + "ĠплоÑīад": 116835, + "ĠÏĦÏģα": 116836, + "даÑİÑĤ": 116837, + "Ġsınav": 116838, + "Ġmặc": 116839, + "æ°´å¹³": 116840, + "ĠвиглÑı": 116841, + "Ġnást": 116842, + "ĠобÑĭÑĩ": 116843, + "ĠìĿ´ìķ¼ê¸°": 116844, + "ë¹Ľ": 116845, + "ĠBaÄŁ": 116846, + "ĠاÙĦثاÙĦØ«": 116847, + "Ġservis": 116848, + "Ġ룬": 116849, + "омина": 116850, + "ίθ": 116851, + "ĠẤ": 116852, + "경기": 116853, + "Ġ졸": 116854, + "ีà¸ļ": 116855, + "Ġà¤ĺà¤Łà¤¨": 116856, + "Ġà¸Ļาà¸ĩ": 116857, + ".Îł": 116858, + "ìķķ": 116859, + "rün": 116860, + "Ġonların": 116861, + "ĠзбÑĸлÑĮÑĪ": 116862, + "à¹ģà¸Ł": 116863, + "ĠìĹ¬ê¸°": 116864, + "ĠëĮĢíijľ": 116865, + "ĠÑģилÑĥ": 116866, + "à¹Ĥà¸Ľ": 116867, + "ĠتÙĤد": 116868, + "ĠÐŁÐ¾Ð¼": 116869, + "ĠмаÑģла": 116870, + "Ġìĺģìĥģ": 116871, + "нение": 116872, + "λαμβ": 116873, + "ĠByl": 116874, + "æĬµ": 116875, + "æݪ": 116876, + "ĠκαθÏİÏĤ": 116877, + "mızı": 116878, + "æĸ°çļĦ": 116879, + "éĩįè¤ĩ": 116880, + "à¸±à¸Ľ": 116881, + "çŃĨ": 116882, + "ĠÑĤка": 116883, + "ĠзнаÑĩеннÑı": 116884, + "лаÑĤи": 116885, + "Ġvliv": 116886, + "ÐIJн": 116887, + "ĠÚĨاپ": 116888, + "ĠпиÑĤанÑĮ": 116889, + ":ï½ī": 116890, + "æķĻæİĪ": 116891, + "Ġì¹ľêµ¬": 116892, + "Ġtrao": 116893, + "à¥įयà¤ķत": 116894, + "ุà¸Ħà¸Ħล": 116895, + "ĠرÙĪØ´ÙĨ": 116896, + "ĠعÙĦÙĬÙĩا": 116897, + "ãĢģãģĦ": 116898, + "ëħĦìĹIJ": 116899, + "éĢĨ": 116900, + "Ġмагаз": 116901, + "ï¾ŀï¾ŀ": 116902, + "Ġsice": 116903, + "âĢĻte": 116904, + "ĠاÙĦÙĦغة": 116905, + "áu": 116906, + "èĩªèº«": 116907, + "ĠngÅ©": 116908, + "ĠÑģкладÑĥ": 116909, + "Ġzru": 116910, + "Ġtruy": 116911, + "Ġilan": 116912, + "ĠپاÛĮÙĩ": 116913, + "::::::::::::::": 116914, + "fak": 116915, + "ÑĤеÑħ": 116916, + "Ġtaky": 116917, + "Ġìĸ¸ìĸ´": 116918, + "edenÃŃ": 116919, + "Ġà¤ļलत": 116920, + "Ġë°°ìļ°": 116921, + "Ġjméno": 116922, + "ĠÙĦØ£ÙĨ": 116923, + "ανά": 116924, + "кÑĥлÑĮ": 116925, + "ĠØŃÙģظ": 116926, + "ĠآزÙħÙĪÙĨ": 116927, + "иÑĤелÑĮнÑĭе": 116928, + "ĠÐŀлекÑģанд": 116929, + "èį£": 116930, + "Ġà¤ľà¤¬à¤ķ": 116931, + "Ġrodi": 116932, + "ĠبرخÙĪرد": 116933, + "Ġhafta": 116934, + "λικά": 116935, + "à¸ķà¸Ļ": 116936, + "ĠбеÑĢег": 116937, + "ανδ": 116938, + "-С": 116939, + "Ġpravidel": 116940, + "ĠбÑĸлÑı": 116941, + "íĴį": 116942, + "ĠпÑĢедÑĥÑģ": 116943, + "ĠмÑĥниÑĨип": 116944, + "åĮĸåѦ": 116945, + "ĠتÙħاس": 116946, + "Ġà¤īल": 116947, + "ÐĵÐŀ": 116948, + "غر": 116949, + "radan": 116950, + "ĠëĤĺìĺ¤": 116951, + "è¨Ĥ": 116952, + "à¹Ģà¸ĺà¸Ń": 116953, + "âĢĮسÛĮ": 116954, + "ĠобÑıзаÑĤелÑĮно": 116955, + "оÑĤе": 116956, + "à¹Įà¸Ĭ": 116957, + "çĶ¨çļĦ": 116958, + "Ġaltın": 116959, + "ĠÑģоÑĤÑĢÑĥд": 116960, + "Ñĸнки": 116961, + "озможно": 116962, + "ÎIJ": 116963, + "ë¹Į": 116964, + "Âķ": 116965, + "ĠÑĤоÑĩно": 116966, + "Ġjmen": 116967, + "اÙĦÛĮا": 116968, + "èĪį": 116969, + "chodu": 116970, + "곤": 116971, + "ickém": 116972, + "ĠÙħÙĪر": 116973, + "ãĥªãĥ³ãĤ¯": 116974, + "ĠaÅŁam": 116975, + "ĠиÑĤ": 116976, + "Ġनय": 116977, + "Ġμο": 116978, + "éķľ": 116979, + "ĠبÙĨابر": 116980, + "Ġتخصص": 116981, + "Ġสà¸ŀ": 116982, + "ĠпÑĢоÑĦеÑģÑģи": 116983, + "Ġpuan": 116984, + "ĠÙģرÙħاÙĨ": 116985, + "ëĮĢíļĮ": 116986, + "ĠпÑıÑĤ": 116987, + "ĠÙħÙĪب": 116988, + "ĠvÄĽku": 116989, + "Ġëĥ": 116990, + "ecký": 116991, + "ĠìĪĺëıĦ": 116992, + "Ġthao": 116993, + "Ġkapat": 116994, + "ĠзаÑħвоÑĢÑİ": 116995, + "Ġåħī": 116996, + "راÙĨÛĮ": 116997, + "éĢłæĪIJ": 116998, + "ĠÑģвÑĸй": 116999, + "ĠдоÑģиÑĤÑĮ": 117000, + "Ġmilyar": 117001, + "Ġenerji": 117002, + "Ġкип": 117003, + "Ġì¢ĭìķĦ": 117004, + "Ġبإ": 117005, + "ê²Įìĭľ": 117006, + "ĠLÆ°u": 117007, + "ĠÙħÙĨظÙĪر": 117008, + "Ïīμά": 117009, + "ζί": 117010, + "ımda": 117011, + "ĠìĿ´ë¥¼": 117012, + "à¹Ĵ": 117013, + "Ġвваж": 117014, + "Ġgazet": 117015, + "à¥įतन": 117016, + "à¹īำหà¸Ļ": 117017, + "åľŁåľ°": 117018, + "Ġसदस": 117019, + "تبة": 117020, + "ĠpoÄįÃŃta": 117021, + "ĠìĭľìĬ¤íħľ": 117022, + "รà¸Ħ": 117023, + "Ġedecek": 117024, + "ĠتØŃÙĦÛĮÙĦ": 117025, + "æĮīçħ§": 117026, + "åĿª": 117027, + "Ġê·¸ê°Ģ": 117028, + "تÙĩÙħ": 117029, + "Ġбаж": 117030, + "اÙģع": 117031, + "éĢļ常": 117032, + "ĠТи": 117033, + "γνÏī": 117034, + "ì¹Ļ": 117035, + "Ġznamená": 117036, + "＼＼": 117037, + "αÏĢÏĮ": 117038, + "åĨĻ羣": 117039, + "Ġï¼¼Ċ": 117040, + "åĬłå·¥": 117041, + "èĤ¡ä»½æľīéĻIJåħ¬åı¸": 117042, + "ÑıÑĤий": 117043, + "Ġhâl": 117044, + "Ġçab": 117045, + "ĠØŃاضر": 117046, + "PÅĻ": 117047, + "ĠاÙĦتÙĤ": 117048, + "ξηÏĤ": 117049, + "бе": 117050, + "Ġkhám": 117051, + "ĠâĮĴ": 117052, + "Ġéķ¿": 117053, + "ĠâĢ¦Ċ": 117054, + "दम": 117055, + "ĠStudi": 117056, + "Ġkodu": 117057, + "Ġkomunik": 117058, + "Ġkatkı": 117059, + "nete": 117060, + "Ġrapor": 117061, + "éĨ´": 117062, + "ãĤīãģĽ": 117063, + "ĠнеÑģколÑĮ": 117064, + "Ġhá»įp": 117065, + "￣￣￣": 117066, + "º¼": 117067, + "è£Ĥ": 117068, + "едÑĮ": 117069, + "ĠاÙĦاØŃ": 117070, + "ladık": 117071, + "ĠfotoÄŁraf": 117072, + "æĹ¥ãģ®": 117073, + "ĠØŃاÙĦت": 117074, + "ĠØ«ÙĦاث": 117075, + "аÑĤов": 117076, + "eyse": 117077, + "Ġê°IJìĤ¬": 117078, + "áže": 117079, + "Ġнада": 117080, + "Ġà¤ķहन": 117081, + "ĠãĥĿ": 117082, + "ãģ«ãģĤãĤĭ": 117083, + "ãģ«ãģªãģ£ãģ¦": 117084, + "ÙĪدÙĩ": 117085, + "ĠpoÅ¡k": 117086, + "太éĺ³åŁİ": 117087, + "ç»ıéªĮ": 117088, + "æĴŃæĶ¾": 117089, + "Ġmajet": 117090, + "Ñħо": 117091, + "ĠÑĤеÑģÑĤ": 117092, + "ï¼ıĊ": 117093, + "ÏĥεÏĦε": 117094, + "ĠТомÑĥ": 117095, + "ÙİØŃ": 117096, + "ĠìŀĪìľ¼ë©°": 117097, + "ĠзазнаÑĩ": 117098, + "éļIJ": 117099, + "ĠдÑĸÑĹ": 117100, + "кÑĤив": 117101, + "ÙĪÙģÙĬ": 117102, + "Ġtá»Ŀ": 117103, + "à¸¹à¸Ľà¹ģà¸ļà¸ļ": 117104, + "ĠÑĢедак": 117105, + "ĠateÅŁ": 117106, + "Ġkhiá»ĥn": 117107, + "üny": 117108, + "ียà¸ģ": 117109, + "ĠÑĩаÑīе": 117110, + "Ġtuy": 117111, + "γÏīν": 117112, + "รà¸Ńà¸ļ": 117113, + "Ġtrùng": 117114, + "à¹ģà¸Ĺà¸Ļ": 117115, + "ĠακÏĮ": 117116, + "ĠÐĴеÑĢÑħов": 117117, + "à¹ĥà¸Ļส": 117118, + "ãĢģä½ķ": 117119, + "åĩ¦": 117120, + "Ġç»ı": 117121, + "æ¨ĵ": 117122, + "اÙĨÚ¯ÙĦÛĮسÛĮ": 117123, + "ĠlepÅ¡ÃŃ": 117124, + "Ġå¼Ģå§ĭ": 117125, + "éĻº": 117126, + "ĠÑĩеÑĤÑĭ": 117127, + "ĠСеÑĢ": 117128, + "оÑİз": 117129, + "Ġxung": 117130, + "åĵģçīĮ": 117131, + "Ġìĥģíĥľ": 117132, + "ĠÙĨصب": 117133, + "ĠÑĩомÑĥ": 117134, + "ĠترکÛĮ": 117135, + "-ли": 117136, + "ovÃŃ": 117137, + "ĠاÙĨج": 117138, + "絡": 117139, + "ĠتÙĪص": 117140, + "Ġì¿ł": 117141, + "Ġvarsa": 117142, + "ĠÑĢазÑĢабоÑĤ": 117143, + "à¸Ĥà¸Ńà¸ĩà¸Ħ": 117144, + "éŃĤ": 117145, + "Ġà¤Ĭपर": 117146, + "æĿ¥è¯´": 117147, + "ĠÑĨенÑĤÑĢалÑĮ": 117148, + "ĠTakım": 117149, + "Ġonlar": 117150, + "Ġسرعت": 117151, + "好åĥı": 117152, + "Ġbuá»ķi": 117153, + "ĠÐijел": 117154, + "Âłc": 117155, + "أت": 117156, + "à¸Ĥà¸ĵะ": 117157, + "ãģ«åĩº": 117158, + "Ġ+**************": 117159, + "ÏĦηκε": 117160, + "اجر": 117161, + "ĠâĢ²": 117162, + "ãĥ¼ãĥ¬": 117163, + "é¥Ń": 117164, + "ĠجÙĦس": 117165, + "ĠبستÙĩ": 117166, + "วาà¸ĩ": 117167, + "Ġβά": 117168, + "ĠамеÑĢикан": 117169, + "ĠPremi": 117170, + "mae": 117171, + "ĠÑģÑĢеди": 117172, + "áºł": 117173, + "ĠвÑĢед": 117174, + "ãĢĤèĢĮ": 117175, + "åĴ²": 117176, + "Ġê³µê°ľ": 117177, + "èĤ¥": 117178, + "звиÑĩай": 117179, + "Ġprocent": 117180, + "илоÑģÑĮ": 117181, + "शन": 117182, + "éłģ": 117183, + "екÑĤи": 117184, + "داشت": 117185, + "íķĻíļĮ": 117186, + "ãĢĢãĢĢãĢĢĠãĢĢĠãĢĢ": 117187, + "ĠÙħدÙĬÙĨØ©": 117188, + "िलन": 117189, + "ĠèĹ": 117190, + "миÑĢ": 117191, + "ĠноÑĢ": 117192, + "Ġíķĺì§Ģ": 117193, + "веÑī": 117194, + "nÄĽm": 117195, + "еÑĢами": 117196, + "Ġpracov": 117197, + "ĠبÙĬاÙĨات": 117198, + "ĠÏĥÏįν": 117199, + "Ġجذ": 117200, + "ãģĦãģ§": 117201, + "ĠBÃŃ": 117202, + "è±Ĩ": 117203, + "Ġhmot": 117204, + "ileceÄŁi": 117205, + "Ġتاث": 117206, + "è´´": 117207, + "Ġê¸ī": 117208, + "Ġmysl": 117209, + "ĠìĿ´íķ´": 117210, + "Ġ기ëĬ¥": 117211, + "ĠТам": 117212, + "ĠнаÑģелениÑı": 117213, + "ĠMez": 117214, + "Ġ모르": 117215, + "íĻĶ를": 117216, + "ĠÙĨسخÙĩ": 117217, + "ĠتÙĦÙĪÛĮزÛĮ": 117218, + "ĠÄįervna": 117219, + "ưỡng": 117220, + "صØŃ": 117221, + "ĠÑĤÑĢен": 117222, + "Õ¡": 117223, + "Ġcelou": 117224, + "Å©i": 117225, + "ìĹĨìĿ´": 117226, + "nÃŃku": 117227, + "Ġprogramu": 117228, + "à¥įपन": 117229, + "ĠпÑĢеж": 117230, + "ارب": 117231, + "æľŁéĸĵ": 117232, + "Ġμά": 117233, + "ëįĶëĭĪ": 117234, + "ụn": 117235, + "ĠпеÑĢеÑģÑĤ": 117236, + "对äºİ": 117237, + "è¿IJè¡Į": 117238, + "ĠÑĤан": 117239, + "ĠìĤ¬ìĿ´íĬ¸": 117240, + "ĠQuảng": 117241, + "ĠstojÃŃ": 117242, + "ãĥŃãĥ¼": 117243, + "گار": 117244, + "ĠенеÑĢг": 117245, + "Ġkterým": 117246, + "ĠпÑĢимÑĸ": 117247, + "ĠкаÑĢÑĤи": 117248, + "Ġzengin": 117249, + "ï¼ĮåĨį": 117250, + "Ġترب": 117251, + "ĠÑĨенÑĤÑĢ": 117252, + "ĠsaÄŁlamak": 117253, + "ëĭĿ": 117254, + "ãģ®åŃIJ": 117255, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 117256, + "ĠsÆ¡n": 117257, + "zı": 117258, + "ÑĤаки": 117259, + "ÄĽstÃŃ": 117260, + "Ġà¥": 117261, + "é®": 117262, + "åŁ¹è®Ń": 117263, + "ĠìĶ¨": 117264, + "Ġbelki": 117265, + "ĠìĿ´ë²¤íĬ¸": 117266, + "ëĶĶìĸ´": 117267, + "ĠsÃłn": 117268, + "никам": 117269, + "alim": 117270, + "å¯¾å¿ľ": 117271, + "ĠSá»±": 117272, + "éģĵè·¯": 117273, + "é«ĺæ¸ħ": 117274, + "Ġdõi": 117275, + "ĠÙĦÙĢ": 117276, + "ĠèĤ¡": 117277, + "νι": 117278, + "âĢŀJ": 117279, + "'nde": 117280, + "ÎijÎĵ": 117281, + "ãģ¨ãģªãĤĭ": 117282, + "çĪ¸": 117283, + "عÙĦÛĮ": 117284, + "ÏģιÏĥÏĦ": 117285, + "ĠeÄŁit": 117286, + "ĠзовнÑĸÑĪ": 117287, + "ĠпÑĢим": 117288, + "سÙħبر": 117289, + "ĠmÄĽstÄĽ": 117290, + "ĠÏĢεÏģιÏĥÏĥÏĮÏĦε": 117291, + "ÐIJÐł": 117292, + "æĦŁåĪ°": 117293, + "Ġ문ìĦľ": 117294, + "ãģĭãĤĭ": 117295, + "ÙĤÙĬÙĤØ©": 117296, + "ĠвÑĤÑĢа": 117297, + "Ġà¸Ńำ": 117298, + "ÑģкÑĥÑİ": 117299, + "دÙĩاÛĮ": 117300, + "ĠÄ°st": 117301, + "ĠÐĹав": 117302, + "Ġéĥ½": 117303, + "ÑĪем": 117304, + "ĠеÑīÑij": 117305, + "ĠÐľÐ¸Ñħай": 117306, + "ĠÑĥпÑĢавлениÑı": 117307, + "леннÑĭе": 117308, + "ĠzaÄįal": 117309, + "æ¡Į": 117310, + "ĠпÑĸз": 117311, + "лÑıÑĤÑĮÑģÑı": 117312, + "ĠìŀIJë£Į": 117313, + "ãĢĢãĢĢĠ": 117314, + "ĠKral": 117315, + "èĪī": 117316, + "Ġà¤Ńव": 117317, + "ĠØ®Ùħ": 117318, + "Ġакадем": 117319, + "Ġisten": 117320, + "ĠиÑģкÑĥÑģ": 117321, + "ĠعÙĨدÙħا": 117322, + "ĠاÙĦاÙħ": 117323, + "ismus": 117324, + "Ġayrıntı": 117325, + "ĠЩо": 117326, + "ĠÙĩÙĪØ´": 117327, + "دÙĪاج": 117328, + "лаж": 117329, + "ĠÚ©ÙĨار": 117330, + "ÂłR": 117331, + "æĢ§çļĦ": 117332, + "ÑģÑĸм": 117333, + "ĠMüz": 117334, + "ÑĢовиÑĩ": 117335, + "ĠΩ": 117336, + "Ġìĸ´ëĶĶ": 117337, + "سÙħØ©": 117338, + "ĠÑĢÑı": 117339, + "ĠtÆ°Æ¡i": 117340, + "ĠÑĢаÑģÑħод": 117341, + "åı°çģ£": 117342, + "ĠاÙĦÙĪÙĤت": 117343, + "براÛĮ": 117344, + "ĠзÑĢобиÑĤи": 117345, + "ĠбÑĥÑĢ": 117346, + "ĠÄįinnosti": 117347, + "ĠصاØŃ": 117348, + "ĠصÙĨعت": 117349, + "ĠØ·ÙĦ": 117350, + "ξÏį": 117351, + "ĠtisÃŃc": 117352, + "ĠFransa": 117353, + "ì¦ĺ": 117354, + "軽": 117355, + "Ñĺ": 117356, + "ÏĮÏĦηÏĦαÏĤ": 117357, + "ĠMillet": 117358, + "ãĢĢãĥ¾": 117359, + "ĠпÑĢием": 117360, + "ĠترجÙħÙĩ": 117361, + "ĠسÙĪد": 117362, + "ĠsouÄįástÃŃ": 117363, + "ÐĶо": 117364, + "Ġtrụ": 117365, + "足çIJĥ": 117366, + "à¸Ľà¸ģ": 117367, + "Ġustanov": 117368, + "ÎŁÎĻ": 117369, + "Ðŀн": 117370, + "Ġнеж": 117371, + "ког": 117372, + "ä¸ĢçĤ¹": 117373, + "ĠدÙĪراÙĨ": 117374, + "å½±éŁ¿": 117375, + "elidir": 117376, + "âĢŀN": 117377, + "esiyle": 117378, + "ÑĢеменно": 117379, + "ĠiletiÅŁim": 117380, + "มà¹Ģà¸ķ": 117381, + "以åīį": 117382, + "ãĥĭãĥ¼": 117383, + "éĽ»è©±": 117384, + "à¹Ĥà¸ŀ": 117385, + "ovky": 117386, + "ĠзамÑĸ": 117387, + "Ġवà¤ķ": 117388, + "ÂĻ": 117389, + "ĠвÑĸйни": 117390, + "Ġolmadıģı": 117391, + "æ¢ģ": 117392, + "ĠТеп": 117393, + "nÄĽte": 117394, + "èħķ": 117395, + "ìĤ¬ëĬĶ": 117396, + "mamak": 117397, + "Ġciz": 117398, + "æ£Ĵ": 117399, + "Ġï¼ı:": 117400, + "éģĭåĭķ": 117401, + "ĠÙĩÙĨا": 117402, + "Ġê°ij": 117403, + "ĠÙĩÙĨگاÙħ": 117404, + "ĠuÄŁra": 117405, + "彦": 117406, + "Ġobjekt": 117407, + "ãģ¨ãģĻãĤĭ": 117408, + "åĽ½åĨħ": 117409, + "ĠдеÑĢжави": 117410, + "ĠèĮ": 117411, + "Ġuluslararası": 117412, + "Ù£": 117413, + "Ġmutlak": 117414, + "Ġзобов": 117415, + "Ġγεν": 117416, + "à¹Ħà¸Łà¸Ł": 117417, + "Ġözgür": 117418, + "íĦ¸": 117419, + "ĠвипадкÑĥ": 117420, + "Ġà¤ķब": 117421, + "ĠاÙĦخط": 117422, + "θηκαν": 117423, + "ï¼ĮæĬĬ": 117424, + "ÑıÑĤÑĤÑı": 117425, + "Ġolmadıģını": 117426, + "ÂłkW": 117427, + "ĠnÄĽkterých": 117428, + "ãĥĩãĥ«": 117429, + "æ¤įçī©": 117430, + "μιλοÏĤ": 117431, + "ÐIJÑĢÑħÑĸв": 117432, + "ĠТо": 117433, + "èĸ¬": 117434, + "ÑģÑĤвиÑı": 117435, + "ĠØ®ÙĪاست": 117436, + "ологÑĸÑĹ": 117437, + "ÙĪاÙĩد": 117438, + "Ġнак": 117439, + "ĠкоÑĤоÑĢÑĥÑİ": 117440, + "Ġदà¤ķ": 117441, + "âĢŀM": 117442, + "λια": 117443, + "æŃ²": 117444, + "ç¬¬åĽĽ": 117445, + "à¤¾à¤ľà¤¸": 117446, + "Ġ(«": 117447, + "Ġthẻ": 117448, + "､Ċ": 117449, + "ç£ģ": 117450, + "ĠÙĦÙĤ": 117451, + "ĠìķĶ": 117452, + "Ġнового": 117453, + "ĠìķĦ주": 117454, + "ĠëIJĺìĸ´": 117455, + "Ġolun": 117456, + "þ": 117457, + "Ġkariy": 117458, + "ĠØŃسب": 117459, + "ĠìĿĺ미": 117460, + ".Ðľ": 117461, + "ĠoznaÄį": 117462, + "ÙĦسÙĦ": 117463, + "ĠÐĴид": 117464, + "ë¡ľëĤĺ": 117465, + "à¥įà¤Łà¤®": 117466, + "íľ´": 117467, + "Ġbilgisayar": 117468, + "ìĿ¸ì§Ģ": 117469, + "Ġвов": 117470, + "nictvÃŃm": 117471, + "าà¸Ńย": 117472, + "ĠشخصÛĮ": 117473, + "пÑĸон": 117474, + "æľ¬å½ĵ": 117475, + "ĠبÙĢ": 117476, + "ĠмаÑģло": 117477, + "ĠPhát": 117478, + "Ġба": 117479, + "алÑĮномÑĥ": 117480, + "社åĮº": 117481, + "ĠÒ": 117482, + ":::|": 117483, + "ê´": 117484, + "Ġä¸ĥ": 117485, + "ĠÙĪاÙĦد": 117486, + "нике": 117487, + "à¸Ńลล": 117488, + "ĠyerleÅŁ": 117489, + "Ġkombin": 117490, + "uÅ¡": 117491, + "ĠоÑĤÑĢи": 117492, + "ä¹Į": 117493, + "iÅŁti": 117494, + "Ġsóng": 117495, + "ληÏĤ": 117496, + "ĠкÑĥÑĢÑģ": 117497, + "à¹Īาà¸Ħ": 117498, + "ĠÙĬس": 117499, + "ĠداÙħ": 117500, + "çĴ°å¢ĥ": 117501, + "Ñĩенко": 117502, + "ãĢįãģ®": 117503, + "ĠmÃŃsta": 117504, + "ĠÑĦоÑĤ": 117505, + "ĠpÅĻÃŃzn": 117506, + "ĠÑĢаза": 117507, + "ç´«": 117508, + "láda": 117509, + "ĠÑģпеÑĨиалиÑģÑĤ": 117510, + "ĠبÛĮÙħارÛĮ": 117511, + "Ġëĵ£": 117512, + "çĭĹ": 117513, + "ÙĪÙĪ": 117514, + "анÑĸÑĤ": 117515, + "ĠدÙĨباÙĦ": 117516, + "ĠÙħجÙħÙĪعة": 117517, + "ÃŃna": 117518, + "ĠHalk": 117519, + "ájem": 117520, + "enÃŃze": 117521, + "Ġimz": 117522, + "«ng": 117523, + "ĠÎķÎł": 117524, + "ĠÙħÙĩد": 117525, + "ìľĦìĽIJíļĮ": 117526, + "Ġìľłíĺķ": 117527, + "ापस": 117528, + "Ġjež": 117529, + "анÑĸз": 117530, + "иÑĤай": 117531, + "á¿ĸ": 117532, + "irler": 117533, + "기ê°Ħ": 117534, + "ĠвоÑĢ": 117535, + "ĠÏİ": 117536, + "Ġpozn": 117537, + "ĠساÙĨ": 117538, + "寿": 117539, + "æĸ¯çī¹": 117540, + "Ġturist": 117541, + "ĠìŀIJìľł": 117542, + "à¥Ģà¤ĸ": 117543, + "μμε": 117544, + "ansı": 117545, + "ìĨĮëħĦ": 117546, + "Ġtedavi": 117547, + "ÑĩеÑģÑĤва": 117548, + "å£ĵ": 117549, + "ове": 117550, + "ï¼Įçľĭ": 117551, + "ĠпоÑģлÑĥг": 117552, + "ĠÑĤÑĢанÑģ": 117553, + "Ġzáz": 117554, + "æĪ´": 117555, + "Ġмона": 117556, + "ิà¹Ģà¸Ħราะห": 117557, + "ĠÙĨÛĮÙħ": 117558, + "ĠìĤ¬ëŀĮìĿ´": 117559, + "ahat": 117560, + "Ïħκ": 117561, + "ĠоÑĤказ": 117562, + "ĠÐĴолодими": 117563, + "ĠСк": 117564, + "िà¤ķत": 117565, + "å¦ĸ": 117566, + "Ġëĭ¤ìļ´ë¡ľëĵľ": 117567, + "ìĺģìĥģ": 117568, + "Ġनà¤Ī": 117569, + "cete": 117570, + "ĠгÑĢиб": 117571, + "eceÄŁini": 117572, + "ĠçoÄŁu": 117573, + "ĠмаÑĤеÑĢиала": 117574, + "ứt": 117575, + "Ġzaten": 117576, + "ĠFRA": 117577, + "ĠBirliÄŁi": 117578, + "Ġsitesi": 117579, + "ĠåĶ": 117580, + "ĠÐĴол": 117581, + "ÂłPS": 117582, + "ालत": 117583, + "ĠбаÑĩ": 117584, + "алÑĸзаÑĨÑĸÑĹ": 117585, + "ĠSlov": 117586, + "ç³ĸ": 117587, + "ĠговоÑĢиÑĤ": 117588, + "Ġввед": 117589, + "ุà¸ķà¸ļà¸Ńล": 117590, + "ãģĨãģ¡": 117591, + "Ġyaptık": 117592, + "Ġìłķì¹ĺ": 117593, + "ê°ľë¥¼": 117594, + "à¥Īसल": 117595, + "جÙĬÙĦ": 117596, + "ĠзаÑģÑĤоÑģов": 117597, + "è¿«": 117598, + "ĠKurul": 117599, + "ĠNasıl": 117600, + "ĠнапÑĢÑıм": 117601, + "Ġä½į": 117602, + "à¹Įà¸ļ": 117603, + "Ġéģĵ": 117604, + "Ġниже": 117605, + "ĠкоÑģÑĤ": 117606, + "ظÙĩر": 117607, + "Та": 117608, + "ì§Ŀ": 117609, + "Ġönünde": 117610, + "жÑĸ": 117611, + "ĠاجراÛĮ": 117612, + "ĠоÑĢганÑĸв": 117613, + "vise": 117614, + "ĠìĿĦ": 117615, + "à¸ķรà¸ĩ": 117616, + "Ú©ÙĨÙĪÙĨ": 117617, + "Ġdlouho": 117618, + "ÐŀÐĿ": 117619, + "Ġìľ¡": 117620, + "缮æłĩ": 117621, + "ë¯Ģë¡ľ": 117622, + "ï¼ıï¼ıï¼ıï¼ıï¼ıï¼ıï¼ıï¼ı": 117623, + "ĠпоÑĩемÑĥ": 117624, + "æķħäºĭ": 117625, + "ÑĤеÑģÑĮ": 117626, + "ĠÙĤÙĦب": 117627, + "ĠتجÙĩ": 117628, + "ilendir": 117629, + "ĠигÑĢа": 117630, + "ĠÐĶон": 117631, + "ĠpÅĻÃŃjem": 117632, + "è¦Ĩ": 117633, + "Сп": 117634, + "-ни": 117635, + "onse": 117636, + "иной": 117637, + "оÑĩного": 117638, + "اساÙĨ": 117639, + "ĠполÑĥÑĩиÑĤÑĮ": 117640, + "ÑĤап": 117641, + "ĠLý": 117642, + "ĠÃĤu": 117643, + "Ġhüc": 117644, + "ebek": 117645, + "ĠYayın": 117646, + "æĹĭ": 117647, + "ัà¸Ļà¸Ĺร": 117648, + "Ġвиконав": 117649, + "Ġsông": 117650, + "à¥ģà¤ľ": 117651, + "ĠÐĹаг": 117652, + "¤ëĭ¤": 117653, + "ĠcÅ©": 117654, + "ĠگرÙħ": 117655, + "ä¼ı": 117656, + "ãģ«ãģĻãĤĭ": 117657, + "-Ф": 117658, + "ĠÙĤÙħ": 117659, + "ĠolacaÄŁ": 117660, + "æĿ¥äºĨ": 117661, + "æĭĽèģĺ": 117662, + "ĠÐĿаÑģеленнÑı": 117663, + "Ġìĺģìĸ´": 117664, + "ĠæѤ": 117665, + "ĠبدÙĨ": 117666, + "Û²Û¸": 117667, + "оÑĢаÑĤив": 117668, + "ï¼³": 117669, + "Ġnebylo": 117670, + "ĠÑĥÑĩиÑĤ": 117671, + "æĿľ": 117672, + "ĠданÑĸ": 117673, + "ĠspotÅĻeb": 117674, + "ãĥ¼ãĥĨãĤ£": 117675, + "еннÑĥÑİ": 117676, + "ê¹ĮìļĶ": 117677, + "vem": 117678, + "PÅĻÃŃ": 117679, + "Ġyandan": 117680, + "é¼ĵ": 117681, + "ĠدستÙĪر": 117682, + "Ġhafif": 117683, + "hů": 117684, + "Ġváž": 117685, + "ĠìķĦì§ģ": 117686, + "Ùıر": 117687, + "Ġла": 117688, + "ëłī": 117689, + "à¸²à¸Ľà¸£à¸°": 117690, + "lıklar": 117691, + "ĠÑģÑĤандаÑĢÑĤ": 117692, + "à¸Ńà¹ĥห": 117693, + "奴": 117694, + "ĠоÑĤп": 117695, + "âĪł": 117696, + "ãĥ¼ãĥĢ": 117697, + "cháze": 117698, + "Ġê·¸ëłĩê²Į": 117699, + "ostel": 117700, + "ĠгалÑĥз": 117701, + "âk": 117702, + "еÑĨÑĤ": 117703, + "ëŀijìĬ¤": 117704, + "ĠÄįist": 117705, + "ÑĢана": 117706, + "Ġvững": 117707, + "Ġseni": 117708, + "Ġgóc": 117709, + "ÏĨÏĮ": 117710, + "ánu": 117711, + "Ġöt": 117712, + "Ġsóc": 117713, + "ãģĦãģ®": 117714, + "ĠÑģклада": 117715, + "ÐIJÑĢÑħÑĸвовано": 117716, + "ĠìĿ´ë²Ī": 117717, + "ãĤ¹ãģ®": 117718, + "ilebilir": 117719, + "ï½Ģãĥ½": 117720, + "ียà¸į": 117721, + "Ġκαὶ": 117722, + "Ġ믿": 117723, + "æĽ´å¤ļ": 117724, + "ısının": 117725, + "ĠGiám": 117726, + "æŃ£å¼ı": 117727, + "ÏĥμÏĮ": 117728, + "Ġarchit": 117729, + "Ġï½²": 117730, + "ÑĩаÑİÑĤÑģÑı": 117731, + "ë²Ħì§Ģ": 117732, + "ãĤ¤ãĥ¤": 117733, + "é«ĺæł¡": 117734, + "訳": 117735, + "ĠÙħÛĮÚ©": 117736, + "Ġæĥħ": 117737, + "Ġpha": 117738, + "太éĥİ": 117739, + "à¸ŀระราà¸Ĭ": 117740, + "ÙĤÙĬØ©": 117741, + "ĠÑĥлÑĥÑĩ": 117742, + "ÑģÑĤвÑĥеÑĤ": 117743, + "ĠkeÅŁ": 117744, + "é«ĺçŃī": 117745, + "ĠsỼm": 117746, + "Ïģκε": 117747, + "μοÏģ": 117748, + "Ġzástup": 117749, + "ozÃŃ": 117750, + "Ġmili": 117751, + "Ġмогли": 117752, + "ĠзÑĢозÑĥм": 117753, + "ĠباشÛĮد": 117754, + "Ġakci": 117755, + "ĠдÑĢа": 117756, + "ĠαÏģι": 117757, + "ãģĭãĤīãģ®": 117758, + "å¯Ĵ": 117759, + "ĠZaman": 117760, + "ĠÑĸде": 117761, + "ĠãĢĢĠ": 117762, + "Ġklu": 117763, + "aklı": 117764, + "à¥ĩà¤ļ": 117765, + "ĠÑģвобод": 117766, + "ساÙħ": 117767, + "Ġов": 117768, + "Ġubyt": 117769, + "éĩĩçĶ¨": 117770, + "ĠdavranÄ±ÅŁ": 117771, + "ĠnabÃŃzÃŃ": 117772, + "ĠÐijÑĥд": 117773, + "ĠÏī": 117774, + "ĠاÙĦرØŃ": 117775, + "ัà¸ķà¸Ļ": 117776, + "име": 117777, + "ĠتÙĦÙĥ": 117778, + "تÙħع": 117779, + "ĠадминиÑģÑĤÑĢа": 117780, + "Ġzorunda": 117781, + "ĠÙĨسبة": 117782, + "ĠصÙĨعتÛĮ": 117783, + "ĠÑĦÑĥнда": 117784, + "éı¡": 117785, + "Ġpotom": 117786, + "ĠпÑĢеÑģÑĤ": 117787, + "Ġsırada": 117788, + "Ġayar": 117789, + "اÙĤÙĦ": 117790, + "溪": 117791, + "ĠØ¢ÙĤاÛĮ": 117792, + "ĠпеÑĢеÑħод": 117793, + "ĠпÑĢакÑĤиÑĩеÑģки": 117794, + "é»ĥ": 117795, + "ĠÑĥÑħод": 117796, + "ĠÙħتÙģ": 117797, + "Ġsiyasi": 117798, + "ĠпоÑĤен": 117799, + "ÙİÙģ": 117800, + "ĠÐĽÑĥ": 117801, + "ĠконÑĤÑĢолÑĮ": 117802, + "ĠÑģказаÑĤÑĮ": 117803, + "à¥Ģà¤ķरण": 117804, + "åħ¨çIJĥ": 117805, + "Û²Û¶": 117806, + "Ġtoto": 117807, + "ĠÙĪد": 117808, + "ãĤ¿ãĤ¤ãĥĹ": 117809, + "åľį": 117810, + "å¼ķçĶ¨": 117811, + "ï¼£": 117812, + "èĬ¸": 117813, + "ä»ĭç»į": 117814, + "ĠÑĤеÑĢÑĢиÑĤоÑĢии": 117815, + "æĹ¥ãģ«": 117816, + "mÃŃt": 117817, + "amız": 117818, + "ìĿ´ìĸ´": 117819, + "ĠyarÄ±ÅŁ": 117820, + "Ġgüc": 117821, + "ĠÏĩα": 117822, + "ัà¸Ļยายà¸Ļ": 117823, + "ãĤĴè¡Į": 117824, + "Ġmilli": 117825, + "Ġçı¾": 117826, + "Když": 117827, + "mazon": 117828, + "ë³´ëĤ´ê¸°": 117829, + "ĠÑĤÑĢÑĥдов": 117830, + "飾": 117831, + "Ġвиник": 117832, + "ĠÙĪزارت": 117833, + "éĩĮçļĦ": 117834, + "маз": 117835, + "ĠRUS": 117836, + "екÑĤÑĥ": 117837, + "Ġعاش": 117838, + "Ġkonce": 117839, + "ãĤĪãģĨãģ§ãģĻ": 117840, + "ĠмалÑĭÑĪ": 117841, + "meni": 117842, + "еÑģа": 117843, + "اضÛĮ": 117844, + "Ġbrat": 117845, + "ĠвÑĸдноÑģ": 117846, + "θεÏģ": 117847, + "ĠЧем": 117848, + "æijĩ": 117849, + "ĠÙħادر": 117850, + "çĶ¨åĵģ": 117851, + "ĠÙħØŃاÙģظ": 117852, + "ĠmyÅ¡": 117853, + "جع": 117854, + "Ġisim": 117855, + "æ³Ĭ": 117856, + "ılmaz": 117857, + "Ġμα": 117858, + "審": 117859, + "Ġayır": 117860, + "еними": 117861, + "à¥ĩहतर": 117862, + "åľĨ": 117863, + "ãģ¾ãģ£ãģŁ": 117864, + "çĶ¢åĵģ": 117865, + "ĠÑĸнÑĦоÑĢмаÑĨÑĸÑĹ": 117866, + "Ġtủ": 117867, + "สมà¸ļ": 117868, + "ĠstÅĻ": 117869, + "Ġë°ľíijľ": 117870, + "аÑĢÑĮ": 117871, + "ĠCao": 117872, + "ΡÎĻ": 117873, + "à¸ģารà¸Ī": 117874, + "ĠподÑĥм": 117875, + "ä»ķäºĭ": 117876, + "ĠÐļÑĢоме": 117877, + "ĠìĹĶ": 117878, + "ĠÑĥда": 117879, + "ĠавÑĤомаÑĤи": 117880, + "Ġà¸Ħà¸ĵะ": 117881, + "ĠKiÅŁ": 117882, + "ĠÑģоÑģÑĤоÑıние": 117883, + "lisi": 117884, + "Ġëĸ¨ìĸ´": 117885, + "ootball": 117886, + "Ġíį¼": 117887, + "Ġлим": 117888, + "Ġçerç": 117889, + "ÙĪÙĦÙĬÙĪ": 117890, + "Ġslož": 117891, + "Ġ먼": 117892, + "รà¸Ńà¸ĩ": 117893, + "ÑĪее": 117894, + "âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦": 117895, + "ãģĵãģ¡ãĤī": 117896, + "оÑĢÑĭ": 117897, + "çĥŁ": 117898, + "ÂłF": 117899, + "аного": 117900, + "Ø«ÛĮر": 117901, + "çıį": 117902, + "å¸Ĥåł´": 117903, + "vÄĽdom": 117904, + "첨ë¶Ģ": 117905, + "ĠìĤ¬ê±´": 117906, + "ï¾Į": 117907, + "à¹ĥà¸Ļว": 117908, + "Ġzvlášt": 117909, + "ÏĦεÏħ": 117910, + "Ġкакие": 117911, + "ÏĨοÏģά": 117912, + "åĦĦ": 117913, + "ĠzpÄĽt": 117914, + "íķľíħĮ": 117915, + "Ġzvol": 117916, + "ĠçĹ": 117917, + "ÑĢанениÑı": 117918, + "ĠسÛĮاست": 117919, + "ĠÐļоли": 117920, + "ĠоÑĢганизма": 117921, + "ĠÑıнваÑĢÑı": 117922, + "ĠدادÙĨ": 117923, + "пÑĢа": 117924, + "ï¼Įä»ĸ们": 117925, + "æijĺè¦ģ": 117926, + "Ġquần": 117927, + "ÙĬÙĪÙĨ": 117928, + "ĠвиÑħов": 117929, + "Âłà¹Ģà¸Ķ": 117930, + "Ġелем": 117931, + "ebilecek": 117932, + "ĠдоÑĩ": 117933, + "Ġблаг": 117934, + "ĠÑıй": 117935, + "adnÃŃ": 117936, + "ĠzároveÅĪ": 117937, + "enstvÃŃ": 117938, + "âĢĮاÙĨ": 117939, + "ãģķãĤĵãģ¯": 117940, + "/|": 117941, + "ĠاÙĦعاÙħØ©": 117942, + "éł¼": 117943, + "ĠخداÙĪÙĨد": 117944, + "нам": 117945, + "ĠÑģлиз": 117946, + "æ¶ī": 117947, + "รษ": 117948, + "eÅŁtir": 117949, + "ĠÙĨدار": 117950, + "ราà¸Ħ": 117951, + "è¨ĢãĤı": 117952, + "ĠèŃ": 117953, + "ĠкÑĢиÑĤ": 117954, + "ĠвоздÑĥÑħа": 117955, + "Ġà¤Ĺत": 117956, + "Ġprávo": 117957, + "à¥ĭषण": 117958, + "Ġsắp": 117959, + "íıŃ": 117960, + "ĠصرÙģ": 117961, + "ĠراÛĮگاÙĨ": 117962, + "ĠоÑĤк": 117963, + "ëĨĵ": 117964, + "ĠÑģекÑĢеÑĤ": 117965, + "Ä°n": 117966, + "onavir": 117967, + "ĠVys": 117968, + "ĠbaÅŁlat": 117969, + "ĠMuham": 117970, + "ĠлиÑģÑĤоп": 117971, + "ĠTicaret": 117972, + "Ġadlandır": 117973, + "ĠÐĶмиÑĤ": 117974, + "ÏĥμοÏį": 117975, + "ä¾µ": 117976, + "ìĭľëĬĶ": 117977, + "à¹ģà¸Ľà¸¥à¸ĩ": 117978, + "ınıza": 117979, + "-г": 117980, + "иÑĩноÑĹ": 117981, + "ÑĥÑĢи": 117982, + "UZ": 117983, + "ìĽł": 117984, + "ĠتبدÛĮÙĦ": 117985, + "溫": 117986, + "ĠÑĢамкаÑħ": 117987, + "Ġnét": 117988, + "沿": 117989, + "ĠrozÅ¡ÃŃ": 117990, + "Ġसप": 117991, + "ĠÑĤаке": 117992, + "ÑĢаÑĩ": 117993, + "ĠاÙĦÙĤد": 117994, + "íķĻê³¼": 117995, + "ÑĥваннÑıм": 117996, + "Ġmám": 117997, + "롯": 117998, + "á½IJ": 117999, + "Ġetkili": 118000, + "ĠارتÙģ": 118001, + "Ġtechnolog": 118002, + "Ġì½ĺ": 118003, + "ĠتÙĥÙĬÙĬÙģ": 118004, + "ĠpÅĻece": 118005, + "家åºŃ": 118006, + "Ġãģı": 118007, + "âĶ´": 118008, + "íģ¼": 118009, + "Ġξά": 118010, + "à¹Ģà¸ķร": 118011, + "ĠÑģÑĤановиÑĤÑģÑı": 118012, + "ç«ĭãģ¡": 118013, + "Ġéĸĭ": 118014, + "ĠÄ°yi": 118015, + "ĠnÄĽkteré": 118016, + "ĠÑĢобоÑĤ": 118017, + "ĠÄIJÆ°á»Ŀng": 118018, + "ĠاÙĦاج": 118019, + "Ġspeci": 118020, + "çī¹åĪ«": 118021, + "åŃĿ": 118022, + "âĢĮگذ": 118023, + "alıģı": 118024, + "ĠмиÑĢа": 118025, + "íİĺìĿ´ì§Ģ": 118026, + "Ø®Ùģ": 118027, + "ãĤªãĥª": 118028, + "ĠسÛĮÙħ": 118029, + "Ġìĸ´ëĬIJ": 118030, + "алÑĮнÑĥ": 118031, + "Ñĩний": 118032, + "ümüzde": 118033, + "æĻºèĥ½": 118034, + "ýn": 118035, + "ĠتÙĤÙĪÛĮت": 118036, + "ĠпÑĢиг": 118037, + "ĠгÑĢÑĥппÑĭ": 118038, + "amı": 118039, + "γοÏį": 118040, + "оÑĢÑĤÑĥ": 118041, + "ĠGiang": 118042, + "ÅĻen": 118043, + "ĠokolÃŃ": 118044, + "产ä¸ļ": 118045, + "Ġзм": 118046, + "Ġé¾": 118047, + "ÙĬار": 118048, + "ĠاÙĦØ´ÙĬØ®": 118049, + "иÑĤелÑĮнÑĭй": 118050, + "ĠاÙĩÙħ": 118051, + "ĠباÙĦرÙĬاض": 118052, + "ĠÙ¾ÛĮاÙħ": 118053, + "Ġkredi": 118054, + "ĠArap": 118055, + "ĠÑĢаб": 118056, + "ĠнекоÑĤоÑĢÑĭÑħ": 118057, + "ĠØŃاÙģظÙĩ": 118058, + "иÑĤелÑĮного": 118059, + "Ġgerekmektedir": 118060, + "ĠDeniz": 118061, + "ĠتÙĦاش": 118062, + "stagram": 118063, + "ávky": 118064, + "åĬłåħ¥": 118065, + "ozor": 118066, + "Ġdurumunda": 118067, + "Ġíıīëĭ¹": 118068, + "Ġë´ī": 118069, + "ĠpenÄĽ": 118070, + "گاÙĨÛĮ": 118071, + "ĠKup": 118072, + "ĠÑĨеÑĢ": 118073, + "ulması": 118074, + "âijł": 118075, + "ĠÑģÑĸÑĩнÑı": 118076, + "ımıza": 118077, + "å®ļçļĦ": 118078, + "ÂłÑĤ": 118079, + "åĬŀåħ¬": 118080, + "ìľ¼ëĭĪ": 118081, + "ĠاÙĦØ¥ÙĨ": 118082, + "Ġçĥ": 118083, + "ãĢįï¼Į": 118084, + "ÑĹна": 118085, + "ĠпÑĢигоÑĤовлениÑı": 118086, + "Ðħ": 118087, + "ĠÑģолн": 118088, + "Ġë¶ĢìĤ°": 118089, + "æħ¶": 118090, + "ãĤ¾": 118091, + "voje": 118092, + "ÛĮدÙĨ": 118093, + "ìĥĿëĭĺ": 118094, + "ç¹ģ": 118095, + "ádu": 118096, + ":::::::::::::::": 118097, + "سÙĨÚ¯": 118098, + "éĶĭ": 118099, + "ĠзвиÑĩай": 118100, + "å§Ķåijĺä¼ļ": 118101, + "ĠμÎŃÏĥα": 118102, + "ĠÑĢождениÑı": 118103, + "æĪIJ人": 118104, + "ĠdÃŃl": 118105, + "ĠÐĶоб": 118106, + "Ġà¹ĥà¸Ĭ": 118107, + "ÏĢί": 118108, + "gamber": 118109, + "ĠÙĪÛĮÚĺÚ¯ÛĮ": 118110, + "ĠèĬ±": 118111, + "ĠbÃły": 118112, + "ĠжовÑĤнÑı": 118113, + "åħ¬å¼Ģ": 118114, + "ĠÑĤоÑĩки": 118115, + "ãģĤãģ®": 118116, + "алÑĸв": 118117, + "Ġcharakter": 118118, + "ĠÎĴα": 118119, + "ĠzkuÅ¡en": 118120, + "Ġà¤Ńà¤Ĺव": 118121, + "Ñĩика": 118122, + "à¥Ģà¤Ĥ।": 118123, + "è£ı": 118124, + "åijĬè¯ī": 118125, + "iyatı": 118126, + "ĠÑĨелÑĮ": 118127, + "ĠìĬĪ": 118128, + "аÑĢд": 118129, + "ĠÃľlke": 118130, + "Ġprosince": 118131, + "ĠÙĨگاÙĩ": 118132, + "ãĢĮãģĬ": 118133, + "ΣΤ": 118134, + "ìĦľëĬĶ": 118135, + "ÙĪگر": 118136, + "ضاÙĨ": 118137, + "Ġdůsled": 118138, + "çIJ´": 118139, + "à¸ķำà¹ģหà¸Ļ": 118140, + "кÑĤÑĸв": 118141, + "ládá": 118142, + "á¿Ĩ": 118143, + "ĠDoÄŁu": 118144, + "ãģijãĤĮãģ°": 118145, + "缮ãĤĴ": 118146, + "Ġ缴": 118147, + "æĽ°": 118148, + "ĠвÑĤоÑĢой": 118149, + "ĠглÑĥ": 118150, + "ĠìĿ½": 118151, + "기ì¤Ģ": 118152, + "Ġmadde": 118153, + "Ġjedné": 118154, + "ĠоÑĦÑĸ": 118155, + "ìĭĿìĿĦ": 118156, + "Ġchút": 118157, + "åĩºãģĹãģŁ": 118158, + "иÑĩеÑģкаÑı": 118159, + "Ġлок": 118160, + "Ġaltı": 118161, + "ëĵľëĬĶ": 118162, + "eygamber": 118163, + "ĠÑģвое": 118164, + "ĠtaÅŁÄ±m": 118165, + "ĠÑĤоÑīо": 118166, + "Ġgeçti": 118167, + "Ġpremi": 118168, + "ĠMehmet": 118169, + "ï¼ĮåĽłæѤ": 118170, + "ίκη": 118171, + "Ġönceki": 118172, + "Ġà¤ķन": 118173, + "ĠÑĤемпеÑĢаÑĤÑĥÑĢа": 118174, + "éĺ´": 118175, + "Ġìĸ¼ë§Ī": 118176, + "شب": 118177, + "áky": 118178, + "ãĢĢV": 118179, + "воÑĢеннÑı": 118180, + "lasyon": 118181, + "Ġдоказ": 118182, + "Ġëľ»": 118183, + "ĠоблиÑĩ": 118184, + "ÎĻÎijÎļ": 118185, + "ĠÑĢазд": 118186, + "ï¼Į为": 118187, + "宽": 118188, + "Ġkorum": 118189, + "åķĬåķĬ": 118190, + "ĠÅĻekla": 118191, + "ãĥĹãĥ¬": 118192, + "ĠваÑĢÑĤ": 118193, + "ĠпÑĢоблемÑĭ": 118194, + "Ġä½ł": 118195, + "ĠthÆ¡m": 118196, + "Ġtakové": 118197, + "ленÑĭ": 118198, + "ĠåĪ¶": 118199, + "Ġjiných": 118200, + "ĠÙĨص": 118201, + "ĠгÑĢÑĥднÑı": 118202, + "ĠãģĹ": 118203, + "иÑĤелÑĮной": 118204, + "ĠاØŃتÙħ": 118205, + "ÑİÑĢ": 118206, + "ÏĨÏħ": 118207, + "ĠØ´ÙħاÙĦÛĮ": 118208, + "Ġì»´": 118209, + "acaģız": 118210, + "ì§Ģë§ī": 118211, + "ĠÑĦинанÑģов": 118212, + "Ġê·¹": 118213, + "ĠÚĨÛĮزÛĮ": 118214, + "à¥Ģà¤Ľ": 118215, + "صات": 118216, + "ानम": 118217, + "Ġвозможно": 118218, + "è¨İ": 118219, + "çĦ¦": 118220, + "ĠاÙĦبÙĦد": 118221, + "ĠçĶ³åįļ": 118222, + "祥": 118223, + "Ġë°ĶëĿ¼": 118224, + "Ú¯ÛĮر": 118225, + "ÛµÛ°": 118226, + "μιοÏħÏģγ": 118227, + "ĠpÅĻedsed": 118228, + "ç»ıèIJ¥": 118229, + "å§ij": 118230, + "emey": 118231, + "ĠÙĨÙĪÙģ": 118232, + "å¾½": 118233, + "Ġpráva": 118234, + "ĠвообÑīе": 118235, + "Ġíĭ°": 118236, + "ĠبأÙĨ": 118237, + "ĠFranti": 118238, + "ĠPaÅŁa": 118239, + "Ġپست": 118240, + "kân": 118241, + "ĠÑģигн": 118242, + "Ġdần": 118243, + "æIJľ": 118244, + "Ġroky": 118245, + "ÙĥÙĪر": 118246, + "ĠÎĶή": 118247, + "ализаÑĨии": 118248, + "ä¼łå¥ĩ": 118249, + "ıda": 118250, + "lÃŃb": 118251, + "ĠÑĢÑĸвнÑı": 118252, + "ĠноÑı": 118253, + "bÄĽhu": 118254, + "ิà¸ĩหาà¸Ħม": 118255, + "ï¼Įåį´": 118256, + "ĠÑĩеÑģ": 118257, + "lanmÄ±ÅŁtır": 118258, + "ĠÆ°á»Ľc": 118259, + "ávacÃŃ": 118260, + "ีฬา": 118261, + "δÎŃ": 118262, + "âĢĮØ´ÙĪÙĨد": 118263, + "ĠÑĢобÑĸÑĤ": 118264, + "Ġå·´": 118265, + "ĠMev": 118266, + "ĠÙħرØŃÙĦÙĩ": 118267, + "ĠвзÑĢоÑģ": 118268, + "ç½ļ": 118269, + "ĠباÙĦÙħ": 118270, + "ĠизгоÑĤов": 118271, + "ĠSpor": 118272, + "åĦĢ": 118273, + "ĠاÙĦØ£ÙĨ": 118274, + "à¹Īาà¸ĩà¸ģ": 118275, + "лаÑģÑĤи": 118276, + "ÎŁÎļ": 118277, + "ĠÚ©ÛĮ": 118278, + "åij½ä»¤": 118279, + "ØŃدث": 118280, + "ÙĬÙĥÙĬ": 118281, + "ĠпеÑĢвÑĭй": 118282, + "ãĤ¹ãĤ³": 118283, + "ĠÅ¡pat": 118284, + "Ġnikdo": 118285, + "ัà¸ĩม": 118286, + "赫": 118287, + "æĺ¨": 118288, + "ĠвÑĥли": 118289, + "ĠÐļа": 118290, + "à¹Īละ": 118291, + "Ġsamot": 118292, + "ĠобеÑģпе": 118293, + "ĠÙħعرÙģÛĮ": 118294, + "ĠÙħØŃصÙĪÙĦات": 118295, + "ванов": 118296, + "ĠÙħستÙĤÛĮÙħ": 118297, + "å¢Ļ": 118298, + "ÂłÐļ": 118299, + "ĠдоÑĤ": 118300, + "zim": 118301, + "ÙIJر": 118302, + "ĠØ´ÙĪ": 118303, + "åľ¨åľ°": 118304, + "Ġçİ°": 118305, + "ĠåĮĸ": 118306, + "زÙĪ": 118307, + "Ġyaygın": 118308, + "ĠоÑĢиг": 118309, + "ÙıÙĨ": 118310, + "Ġevrop": 118311, + "Ġï½ľ": 118312, + "Ġëħ¸ì¶ľëĵ±ë¡Ŀ": 118313, + "åĩĿ": 118314, + "леннÑĭÑħ": 118315, + "Ġjenom": 118316, + "ĠЧÑĤобÑĭ": 118317, + "ĠìĹĨëĭ¤": 118318, + "ĠìŬìĦ±": 118319, + "Ġresmi": 118320, + "imálnÃŃ": 118321, + "缮ãģ®": 118322, + "sian": 118323, + "-нибÑĥдÑĮ": 118324, + "οκ": 118325, + "çĭ¬ç«ĭ": 118326, + "ÅŁehir": 118327, + "åIJIJ": 118328, + "åĪ¶éĢł": 118329, + "ĠÎĶεν": 118330, + "ãĥĭãĥ¥": 118331, + "иÑĤелÑĮнÑĭÑħ": 118332, + "ĠÙĥاÙħ": 118333, + "Ïģκ": 118334, + "Ġrau": 118335, + "ĠÑģмеÑĢÑĤи": 118336, + "ĠÏĮÏĦαν": 118337, + "ĠTại": 118338, + "Ġرب": 118339, + "ενο": 118340, + "ردد": 118341, + "Ġà¸ģระ": 118342, + "Ïĥμο": 118343, + "Ġæ¼Ķ": 118344, + "ิà¸Īà¸ģรรม": 118345, + "ĠÑĢазви": 118346, + "ãĤ¹ãĥļ": 118347, + "ÑĸÑĩноÑĹ": 118348, + "lášenÃŃ": 118349, + "ابعة": 118350, + "ovými": 118351, + "анг": 118352, + "ĠкапÑĸÑĤ": 118353, + "ãĢģâĢĭ": 118354, + "íĸĪëįĺ": 118355, + "ĠÑĥÑģÑĸ": 118356, + "ยาว": 118357, + "Ø£Ùħ": 118358, + "ãĥ©ãĥĥãĤ¯": 118359, + "Ġëķ": 118360, + "ĠسÙĨÙĪات": 118361, + "ĠÑģÑĤаÑĤÑĮи": 118362, + "ÑĹÑħ": 118363, + "ÏģοÏĩή": 118364, + "ĠØ£ÙĥتÙĪبر": 118365, + "lanma": 118366, + "Ġmalzem": 118367, + "磨": 118368, + "ĠбокÑĥ": 118369, + "åŃĹå¹ķ": 118370, + "ĠоÑĢганÑĸза": 118371, + "ãĥ©ãĤ¤ãĥ³": 118372, + "ĠÙħعدÙĨ": 118373, + "çĶ·åŃIJ": 118374, + "ĠæĤ": 118375, + "Ế": 118376, + "Ġmeziná": 118377, + "иваÑİÑĤ": 118378, + "ĠطبÛĮعÛĮ": 118379, + "èĻij": 118380, + "à¤Łà¤°": 118381, + "ĠподÑģ": 118382, + "ĠÅŁaÅŁ": 118383, + "à¸Ļà¹Ĩ": 118384, + "ĠÅ¡p": 118385, + "vÄĽÅĻ": 118386, + "зÑĮ": 118387, + "ëĿ¼ë§Ī": 118388, + "ุà¸ĺ": 118389, + "âĢ¦Ø·": 118390, + "리ì§Ģ": 118391, + "âĦĸâĦĸâĦĸâĦĸ": 118392, + "Ġbức": 118393, + "ĠSpoj": 118394, + "ĠиÑģполÑĮзовани": 118395, + "å·¦åı³": 118396, + "enler": 118397, + "ĠоÑīÑĥÑī": 118398, + "ĠоблÑĸ": 118399, + "ظËĨ": 118400, + "ÙĦÛĮس": 118401, + "æıIJåįĩ": 118402, + "ĠговоÑĢиÑĤÑĮ": 118403, + "Ġkür": 118404, + "ĠλειÏĦοÏħÏģγ": 118405, + "лага": 118406, + "ĠÑģÑĥдÑĥ": 118407, + "Ġ측": 118408, + "θεÏĥη": 118409, + "Ġнен": 118410, + "Ġbiçimde": 118411, + "ÑĨÑĸйноÑĹ": 118412, + "à¹Ģà¸Ħย": 118413, + "ĠDalÅ¡ÃŃ": 118414, + "ĠимеÑĤÑĮ": 118415, + "èĭĹ": 118416, + "ĠÙħعرÙĪÙģ": 118417, + "Ġtạp": 118418, + "ĠmeÅŁ": 118419, + "ÂłN": 118420, + "оÑĢони": 118421, + "عÙģ": 118422, + "à¹Ĥรà¸ĩà¹Ģร": 118423, + "âĶ¬": 118424, + "Ġà¹Ģà¸ŀราะ": 118425, + "Ġèı²å¾ĭ宾": 118426, + "ÑģÑĤвенное": 118427, + "ĠازدÙĪاج": 118428, + "ĠÑĦев": 118429, + "éł»": 118430, + "Ġสล": 118431, + "à¸ķà¸Ńà¸Ļ": 118432, + "Ġ기ê°Ħ": 118433, + "佩": 118434, + "ÏĦην": 118435, + "ëĤ¬ëĭ¤": 118436, + "ĠQuy": 118437, + "Ġë¶Ļ": 118438, + "ĠСÑĥд": 118439, + "иж": 118440, + "Ġà¹Ģà¸ģม": 118441, + "ĠÑģвÑıÑĤ": 118442, + "etooth": 118443, + "εÏģο": 118444, + "ÙĦÙħØ©": 118445, + "Ø´ÙĪر": 118446, + "Ġdomu": 118447, + "èįĴ": 118448, + "mî": 118449, + "ëıĦ를": 118450, + "ĠÑĢекомендÑĥеÑĤÑģÑı": 118451, + "Ġsonrasında": 118452, + "ĠднÑĸв": 118453, + "Ġçal": 118454, + "ãĤ«ãĥĨãĤ´ãĥª": 118455, + "Ġеж": 118456, + "Ġìķī": 118457, + "èī²çļĦ": 118458, + "âĢĻnde": 118459, + "ĠÏĢÏīÏĤ": 118460, + "ĠÑĩеÑĤвеÑĢ": 118461, + "kili": 118462, + "æĢ§èĥ½": 118463, + "ادÙĬØ©": 118464, + "纯": 118465, + "ĠاÙĦتش": 118466, + "ĠÑĤела": 118467, + "ĠобÑĬем": 118468, + "å²Ĺä½į": 118469, + "Ġkonkrét": 118470, + "Ġarada": 118471, + "ìĭľìĹIJ": 118472, + "Ġoranı": 118473, + "رÙĥ": 118474, + "ÐĽÐIJ": 118475, + "ĠménÄĽ": 118476, + "جÙĪÛĮ": 118477, + "Ġvợ": 118478, + "ĠAngiospermae": 118479, + "èĥİ": 118480, + "Ġhôn": 118481, + "äºĭæ¥Ń": 118482, + "ĠоÑĤвеÑĢ": 118483, + "Ġsrd": 118484, + "Å¡li": 118485, + "สà¸ģ": 118486, + "æ¼ı": 118487, + "ĠشرØŃ": 118488, + "ÑĨÑıми": 118489, + "Ġslav": 118490, + "Ġceny": 118491, + "à¸Ńà¹Ģร": 118492, + "ĠÙĪÙĦد": 118493, + "ĠкоÑĢа": 118494, + "ĠбÑĢон": 118495, + ":.:.:.:.:": 118496, + "Ġnemus": 118497, + "è¿Ļæł·çļĦ": 118498, + "ĠبرÙĨاÙħج": 118499, + "ĠúplnÄĽ": 118500, + "ีà¸Ļาà¸Ħม": 118501, + "Ġë°ĽìķĦ": 118502, + "μεÏģα": 118503, + "缩": 118504, + "Ġnắm": 118505, + "ĠобÑĬÑıÑģ": 118506, + "ĠконÑĤÑĢолÑİ": 118507, + "ávajÃŃcÃŃ": 118508, + "Ġkum": 118509, + "çĶ·äºº": 118510, + "ĠvnitÅĻ": 118511, + "ĠبدÙĩ": 118512, + "ĠأبرÙĬÙĦ": 118513, + "人æ°ijåħ±åĴĮåĽ½": 118514, + "Ġyapılır": 118515, + "ĠnaÅ¡ÃŃ": 118516, + "ãĥ¼ãĥŃ": 118517, + "Ġtạm": 118518, + "Ġhenüz": 118519, + "Ġzemi": 118520, + "Ġkháng": 118521, + "åħ¬åħ±": 118522, + "ĠèĢģ": 118523, + "ĠعÙĪاÙħÙĦ": 118524, + "ÂłV": 118525, + "à¹īà¹ģà¸ģ": 118526, + "άνÏĦα": 118527, + "ĠÑĤÑĢавнÑı": 118528, + "ĠημÎŃ": 118529, + "è´¸": 118530, + "สà¸Ķ": 118531, + "ĠسÙħت": 118532, + "Ġخاک": 118533, + "ĠÑĤакий": 118534, + "Ġettik": 118535, + "ĠÏĮλ": 118536, + "Ġполи": 118537, + "Ġнож": 118538, + "غاÙĨ": 118539, + "ÙĨدÙĬ": 118540, + "ĠÄįtyÅĻi": 118541, + "ĠPhÆ°Æ¡ng": 118542, + "ĠÙĪرزش": 118543, + "ãģĦãģĭ": 118544, + "rvé": 118545, + "Ġतरफ": 118546, + "Ġनà¤Ĺर": 118547, + "masında": 118548, + "евиÑĩ": 118549, + "veÅĻej": 118550, + "ä¿ĿæĮģ": 118551, + "æĬĢèĥ½": 118552, + "æݨèįIJ": 118553, + "lâm": 118554, + "ĠÏį": 118555, + "å¢ŀéķ¿": 118556, + "ĠاصÙģÙĩ": 118557, + "ĠÐĹаконÑĥ": 118558, + "ĠÐŁÑĢез": 118559, + "Ġpodpor": 118560, + "기íĥĢ": 118561, + "ĠíıIJ": 118562, + "ĠëĭĪ": 118563, + "larınız": 118564, + "ãĥĸãĥŃ": 118565, + "ĠÑĦÑĢанÑĨÑĥз": 118566, + "ãĥĬãĥ¼": 118567, + "Ġbeled": 118568, + "ัà¸Ļวาà¸Ħม": 118569, + "ĠÙģرÙĪ": 118570, + "ÑĦÑĢов": 118571, + "ĠìĿ´ëŁ¬": 118572, + "ượu": 118573, + "Ġê³µìĭĿ": 118574, + "Ġbirden": 118575, + "Ġзелен": 118576, + "çĴĥ": 118577, + "Ġhá»ĵng": 118578, + "ĠÅ¡kola": 118579, + "ĠÑģамом": 118580, + "anlık": 118581, + "空éĹ´": 118582, + "åįĹçľģ": 118583, + "леÑĢг": 118584, + "ÑĸзнеÑģ": 118585, + "ÂłA": 118586, + "ãĢįãĤĴ": 118587, + "Ġkendine": 118588, + "ĠاÙĪÙĨ": 118589, + "ãĢĶ": 118590, + "ĠΣÏį": 118591, + "à¹Ģà¸Ħล": 118592, + "奶": 118593, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 118594, + "ĠúÄįet": 118595, + "Ñĥла": 118596, + "éĢļä¿¡": 118597, + "Ġì¦IJ": 118598, + ".čĊĊ": 118599, + "ĠÐľÐµÐ´": 118600, + "اعÙĬ": 118601, + "Ġjehož": 118602, + "ĠGüney": 118603, + "ĠÎijÏĢο": 118604, + "ĠполÑĸ": 118605, + "üme": 118606, + "hodob": 118607, + "ĠÎĿα": 118608, + "ĠØ¢ÙĦات": 118609, + "ĠpÅĻiz": 118610, + "Ġtavs": 118611, + "ĠتبÙĦÛĮ": 118612, + "ãĥ³ãĥĶ": 118613, + "خرج": 118614, + "ĠаккÑĥ": 118615, + "Ġúprav": 118616, + "ĠاØŃساس": 118617, + "ì¹´ëĿ¼": 118618, + "ımızı": 118619, + "ĠдокÑĥменÑĤ": 118620, + "ĠاصÙĦ": 118621, + "ظÙĩ": 118622, + "ĠìĿ¸ê°Ħ": 118623, + "ĠجرÛĮاÙĨ": 118624, + "Î¥ÎĿ": 118625, + "ÑĩеÑģкаÑı": 118626, + "ÙĬÙĨÙĬØ©": 118627, + "åĴ¨": 118628, + "æĹħ游": 118629, + "Ġà¸Īำà¸Ļวà¸Ļ": 118630, + "Ġанг": 118631, + "ÏħÏĩ": 118632, + "èĻ«": 118633, + "ĠÙħÙĤر": 118634, + "ĠÙħÙĪسÛĮÙĤÛĮ": 118635, + "utut": 118636, + "ĠÐĽÐµ": 118637, + "ĠÐŁÑĸÑģлÑı": 118638, + "ãĤŃãĥ¼": 118639, + "ุลาà¸Ħม": 118640, + "åĩ¡": 118641, + "ÏĢοÏį": 118642, + "ĠÃĸdül": 118643, + "Ïĥκ": 118644, + "ĠÑĨÑİ": 118645, + "ÑĭваÑı": 118646, + "ï½ŀï½ŀ": 118647, + "ĠØ´ÙħاÙĦ": 118648, + "è¿ħ": 118649, + "ĠبÙĦÚ©Ùĩ": 118650, + "çİĽ": 118651, + "Ġì§ĢëĤĺ": 118652, + "ĠÙģکر": 118653, + "ĠÑģÑĤепени": 118654, + "ĠнаÑĥки": 118655, + "çī©çIJĨ": 118656, + "ÄĽle": 118657, + "ĠоÑģкÑĸлÑĮки": 118658, + "ĠкÑĥлÑĮÑĤÑĥÑĢи": 118659, + "èĢĥè¯ķ": 118660, + "Ġmateriál": 118661, + "ĠÑģÑĤвоÑĢеннÑı": 118662, + "Ġà¤ħद": 118663, + "æıIJåĩº": 118664, + "Ġè©ķ価": 118665, + "ÙĴد": 118666, + "Ġë§Įëĵ¤ìĸ´": 118667, + "duÄŁunu": 118668, + "ÙĬÙĨÙĩ": 118669, + "åĵ¦": 118670, + "оÑĩнÑĭÑħ": 118671, + "ĠÙħض": 118672, + "ismu": 118673, + "ĠÑĩай": 118674, + "ÙĪرÙĪب": 118675, + "Ġангл": 118676, + "oÄŁunluk": 118677, + "ĠпÑĢедпол": 118678, + "ĠÎŃÏīÏĤ": 118679, + "สà¸ĸ": 118680, + "ĠÎķλλάδα": 118681, + "ĠBilg": 118682, + "Ġبات": 118683, + "ĠÐĽÑĮвÑĸв": 118684, + "Ġyapılması": 118685, + "æ£ĢæŁ¥": 118686, + "æķ°åѦ": 118687, + "Ġ:.:": 118688, + "Ġçİ©": 118689, + "Îļα": 118690, + "à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļà¹Ĥลย": 118691, + "ĠساختÙħاÙĨ": 118692, + "ĠìĨĮ리": 118693, + "é¼»": 118694, + "Ġsmr": 118695, + "Ġëĭ¤ìĸijíķľ": 118696, + "ĠjednánÃŃ": 118697, + "Ġservisi": 118698, + "Ġeylem": 118699, + "Ġмали": 118700, + "Ġvýhod": 118701, + "éĻ¤äºĨ": 118702, + "ĠпоÑĢÑıдкÑĥ": 118703, + "Ġnový": 118704, + "å¤ķ": 118705, + "ĠнекоÑĤоÑĢÑĭе": 118706, + "Ġ^{}": 118707, + "γÏīγ": 118708, + "ÑĥÑĪки": 118709, + "Ġpsik": 118710, + "ĠíĶĦ리": 118711, + "شاء": 118712, + "Ġван": 118713, + "ĠسÙĥاÙĨ": 118714, + "碼": 118715, + "Ġξη": 118716, + "ĠÑĥÑĢовенÑĮ": 118717, + "ãĤµãĥ¼": 118718, + "ĠاÙĦبØŃر": 118719, + "ĠdnÃŃ": 118720, + "à¸ģารศ": 118721, + "ediÄŁi": 118722, + "Ġbelirli": 118723, + "ÙĭØĮ": 118724, + "ĠzamÄĽstnan": 118725, + "æŁ±": 118726, + "اÙģÙĬ": 118727, + "Ġhải": 118728, + "æĢĿæĥ³": 118729, + "Ġneler": 118730, + "ĠرسÙħÛĮ": 118731, + "ÑģеÑĢ": 118732, + "ãģĵãģ¨ãģ§": 118733, + "ĠZákladnÃŃ": 118734, + "лова": 118735, + "кÑĤÑĥ": 118736, + "ÙĪسÙģ": 118737, + "ÑĸблÑĸ": 118738, + "ÌĤ": 118739, + "ÑĢд": 118740, + "éĻ³": 118741, + "æį·": 118742, + "ĠyaÅŁayan": 118743, + "à¥ģà¤ļ": 118744, + "ÑĸÑĤÑĤÑı": 118745, + "Ġbá»ģ": 118746, + "ëĤĺëĿ¼": 118747, + "ĠмÑıÑģ": 118748, + "Ġ{[%": 118749, + "θα": 118750, + "ĠдозволÑı": 118751, + "ĠåIJĦ": 118752, + "ĠÐŁÐµÑĢв": 118753, + "ĠSaÄŁlık": 118754, + "ÑģÑĤоÑĢиÑı": 118755, + "Ġbunlar": 118756, + "Ġsá»ķ": 118757, + "़à¥į": 118758, + "ĠåĪ©": 118759, + "ĠÑģпоÑģ": 118760, + "Ġyaptır": 118761, + "ĠtÆ°á»Ŀng": 118762, + "ÙĪÙĨØ©": 118763, + "Ġеп": 118764, + "ãģ§ãģįãģªãģĦ": 118765, + "ÙģتÙħ": 118766, + "ĠÐĵол": 118767, + "íķĺì§Ģë§Į": 118768, + "Ġì§Ħì§ľ": 118769, + "Ġobjedn": 118770, + "ĠизменениÑı": 118771, + "女人": 118772, + "Ġплани": 118773, + "ĠFakült": 118774, + "Ġtzv": 118775, + "ĠобÑıзаÑĤелÑĮ": 118776, + "ĠблизÑĮко": 118777, + "rası": 118778, + "ĠεÏĢίÏĥηÏĤ": 118779, + "ĠÑĦакÑĤи": 118780, + "ĠÄIJặc": 118781, + "ĠAltın": 118782, + "лиÑĤ": 118783, + "ĠлÑĸÑģ": 118784, + "çī§": 118785, + "ĠпÑĥÑģÑĤ": 118786, + "ĠкомÑĸÑģ": 118787, + "ä¿Ŀéļľ": 118788, + "åħ·ä½ĵ": 118789, + "-ÑĤ": 118790, + "Ġtrhu": 118791, + "ĠâīĪ": 118792, + "ĠдекабÑĢÑı": 118793, + "ĠÑĦоÑĢмÑĭ": 118794, + "NgoÃłi": 118795, + "Ġdohod": 118796, + "رÙĬÙĥÙĬØ©": 118797, + "ĠØ¢ÙħÙĪزشÛĮ": 118798, + "ĠzajÃŃmav": 118799, + "Ġkatılım": 118800, + "ä¸ĺ": 118801, + "Ġkonum": 118802, + "ĠмоÑĩ": 118803, + "ãĥ³ãĥķ": 118804, + "дивидÑĥ": 118805, + "Ġäºļ": 118806, + "ĠæĴ": 118807, + "γÏģάÏĨ": 118808, + "ãĥIJãĤ¹": 118809, + "ĠпÑĥнк": 118810, + "ĠBirleÅŁik": 118811, + "Ġquen": 118812, + "Ġвказ": 118813, + "à¥ĩशà¤ķ": 118814, + "ĠYunan": 118815, + "ãģłãģ¨": 118816, + "Û±Û¹Û·": 118817, + "áty": 118818, + "ĠÙĪص": 118819, + "ĠнегаÑĤив": 118820, + "ãģ¤ãģ®": 118821, + "ĠåĬ¨": 118822, + "ãĥįãĥĥãĥĪ": 118823, + "ĠдÑĸй": 118824, + "ĠbaÅŁÄ±nda": 118825, + "ĠtrÆ°ng": 118826, + "Ġmakin": 118827, + "ĠæĦĽ": 118828, + "меÑĩ": 118829, + "Ġè¿ij": 118830, + "ÙĤدر": 118831, + "ĠاستاÙĨد": 118832, + "ĠinformacÃŃ": 118833, + "ारà¤ķ": 118834, + "è¬Ŀ": 118835, + "ÑĢабаÑĤ": 118836, + "ĠçŃĶ": 118837, + "Ġèĩ³": 118838, + "ĠполÑĮ": 118839, + "ĠÙĩÙĨر": 118840, + "ëĮĢë¹Ħ": 118841, + "ĠخارجÛĮ": 118842, + "ract": 118843, + "ãĢĤãģĵãĤĮ": 118844, + "ĠØ´ÙĪراÛĮ": 118845, + "ленно": 118846, + "Ġhisset": 118847, + "ĠcÃłi": 118848, + "ĠÑĦоÑĤо": 118849, + "æģĴ": 118850, + "ĠмедиÑĨин": 118851, + "ÑģÑĤвÑĸ": 118852, + "ĠاÙĦعÙĦ": 118853, + "ĠпиÑģÑĮмен": 118854, + "ãĢĤãģ¾ãģŁ": 118855, + "ĠvlastnÄĽ": 118856, + "Ġпода": 118857, + "Ïģοι": 118858, + "ĠìĦĿ": 118859, + "ĠìĿ¼ìĿ´": 118860, + "ĠìĽĮ": 118861, + "окÑģи": 118862, + "Ġosoby": 118863, + "ÐŁÐ¾Ñģле": 118864, + "ĠÑĸÑģÑĤоÑĢÑĸÑĹ": 118865, + "عÙĦÙī": 118866, + "нка": 118867, + "تÙħبر": 118868, + "à¥ĩहर": 118869, + "ĠJana": 118870, + "ÙĦÙĬات": 118871, + "ĠмаÑĢÑĤа": 118872, + "ĠÐļиÑĶ": 118873, + "ĠÑĢобоÑĤÑĥ": 118874, + "Ġnhấn": 118875, + "иÑģлов": 118876, + "ëŁŃ": 118877, + "Ġodv": 118878, + "ĠTá»īnh": 118879, + "âĢľê·¸": 118880, + "ãģ»ãģĨ": 118881, + "é²ľ": 118882, + "меÑĨÑĮ": 118883, + "าศาสà¸ķร": 118884, + "à¥ģà¤ĵ": 118885, + "ิà¸Ļà¸Ĺ": 118886, + "mada": 118887, + "زاÙħ": 118888, + "ĠÙĥبÙĬر": 118889, + "å®ŀæĸ½": 118890, + "zeÅĪ": 118891, + "Ġlái": 118892, + "Ïĥμα": 118893, + "اسات": 118894, + "ÑĦÑĤ": 118895, + "è°±": 118896, + "çĮľ": 118897, + "ĠprobÃŃ": 118898, + "æľĢè¿ij": 118899, + "ÑĢад": 118900, + "ãĤ½ãĥ³": 118901, + "Ġклад": 118902, + "à¥ľà¤ķ": 118903, + "év": 118904, + "ลาย": 118905, + "èİİ": 118906, + "ĠμÎŃÏĩÏģι": 118907, + "ĠкÑĥÑģ": 118908, + "ĠíĻĺê²½": 118909, + "ÑĩоÑĹ": 118910, + "åıĺåĮĸ": 118911, + "ĠبتÙĪاÙĨ": 118912, + "Ġtắt": 118913, + "Ġgösteren": 118914, + "алÑİ": 118915, + "Ġкоманди": 118916, + "Ġ컨": 118917, + "Ñĥнд": 118918, + "ĠجÙĦÙĪ": 118919, + "åŃIJçļĦ": 118920, + "ĠÑģб": 118921, + "ĠÐłÐ°Ñģ": 118922, + "PCP": 118923, + "ĠCumhurbaÅŁ": 118924, + "одаÑĤелÑĮ": 118925, + "ÃŃsto": 118926, + "Ġoznám": 118927, + "ãĥ¼ãĥĭ": 118928, + "Ġokuy": 118929, + "ophy": 118930, + "าà¸Ļà¸Ħร": 118931, + "ĠÎķθν": 118932, + "ayım": 118933, + "ÙİØ£": 118934, + "æİ¡": 118935, + "Ġfunkce": 118936, + "æļĸ": 118937, + "طار": 118938, + "ĠÐĿаг": 118939, + "Ġä¸ĩåĨĨ": 118940, + "ĠíĴį": 118941, + "Ġä½ı": 118942, + "Ġï¼İ": 118943, + "ÑĭваÑİÑĤÑģÑı": 118944, + "ĠPla": 118945, + "اÙĬÙĦ": 118946, + "Ġ무ìĹĩ": 118947, + "ĠконеÑĩно": 118948, + "км": 118949, + "à¤Ĥपर": 118950, + "Ġìłķë¶Ģ": 118951, + "ĠëĤ´ëł¤": 118952, + "ãĤ°ãĥ«": 118953, + "çģ°": 118954, + "Ġcyk": 118955, + "ĠжелÑĥд": 118956, + "ĠëĨĴìĿĢ": 118957, + "çĶŁåij½": 118958, + "æµ´": 118959, + "ĠartÄ±ÅŁ": 118960, + "ĠÐĩ": 118961, + "ï¼²": 118962, + "ekim": 118963, + "ĠÑĦедеÑĢа": 118964, + "ĠвеÑĢеÑģнÑı": 118965, + "ниÑĤе": 118966, + "ĠÄ°ÅŁte": 118967, + "ĠÙĪضعÛĮت": 118968, + "ãģķãģ¾": 118969, + "ĠtÅĻetÃŃ": 118970, + "uluÄŁ": 118971, + "ĠCumhuriyet": 118972, + "ä¼Ł": 118973, + "Ġë§Ŀ": 118974, + "Ġvermek": 118975, + "Ġnalez": 118976, + "çĵ¶": 118977, + "ĠdiÅŁ": 118978, + "ĠHá»ĵng": 118979, + "غÙĬرة": 118980, + "å©Ĩ": 118981, + "нив": 118982, + "Ġrút": 118983, + "'nda": 118984, + "Ġhroz": 118985, + "à¥īप": 118986, + "Ġзаконом": 118987, + "Ġjednu": 118988, + "ĠKadın": 118989, + "indir": 118990, + "سازÛĮ": 118991, + "åĮºåŁŁ": 118992, + "ĠkonuÅŁtu": 118993, + "ĠزÙĨد": 118994, + "ाĊĊ": 118995, + "ĠÐIJз": 118996, + "à¸ĩà¸Ĥà¸Ńà¸ĩ": 118997, + "ĠÑģвойÑģÑĤва": 118998, + "ĠìŀijíĴĪ": 118999, + "пеки": 119000, + "Ġå°±": 119001, + "евого": 119002, + "ĠtaÅŁÄ±y": 119003, + "ĠÙħÙĨØ·ÙĤØ©": 119004, + "ĠÃĩocuk": 119005, + "Û²Û·": 119006, + "ĠÏĥÏħμÏĢ": 119007, + "é£Łåĵģ": 119008, + "há": 119009, + "Ｏ": 119010, + "ÙĦÙħÙĩ": 119011, + "ãģ¨ãģªãģ£ãģŁ": 119012, + "оÑĢÑĸ": 119013, + "°}": 119014, + "ĠtaÅŁÄ±n": 119015, + "çŁ¿": 119016, + "ĠÑĩаÑģÑĤини": 119017, + "ĠدÙĬسÙħبر": 119018, + "Ġèī¯": 119019, + "stÅĻÃŃ": 119020, + "ĠÑĨик": 119021, + "âĢķâĢķâĢķâĢķ": 119022, + "ĠÄ°ngiltere": 119023, + "ĠÑģÑĤÑĢаÑĤег": 119024, + "ÃĦŸ": 119025, + "иÑĩного": 119026, + "ÃŃrk": 119027, + "ĠÎijÏģ": 119028, + "!âĢľĊĊ": 119029, + "Ġ깨": 119030, + "à¥ģà¤Ĩत": 119031, + "ĠدÙĨÛĮا": 119032, + "lÃŃn": 119033, + "Ġà¤ķड": 119034, + "ĠÙħبت": 119035, + "емÑĭÑħ": 119036, + "оби": 119037, + "ยà¸Ļà¸ķ": 119038, + "à¤Ĥधन": 119039, + "ÚĨÛĮ": 119040, + "ĠçŁ¥": 119041, + "ĠXuân": 119042, + "adaki": 119043, + "Ġorta": 119044, + "æł¹æľ¬": 119045, + "åħ±åIJĮ": 119046, + "нений": 119047, + "بÙĬرة": 119048, + "çŃĭ": 119049, + "ïºĶ": 119050, + "âĢĮÙĩاÙĬ": 119051, + "Ġödeme": 119052, + "ĠØ¢ÙĨÚĨÙĩ": 119053, + "ĠзаÑıви": 119054, + "ĠÙĨÙĤØ´Ùĩ": 119055, + "Ġç³»": 119056, + "à¥ĭ।": 119057, + "Ġì§Ģìłķ": 119058, + "Ġinsp": 119059, + "ĠÑĤен": 119060, + "Ġتط": 119061, + "Ġquảng": 119062, + "åī£": 119063, + "ãģıãģ®": 119064, + "ĠÑĨим": 119065, + "kovi": 119066, + "iyah": 119067, + "ĠëIJľëĭ¤": 119068, + "صÙĩ": 119069, + "ĠÄiju": 119070, + "Ġsuá»ijt": 119071, + "ıma": 119072, + "ì§Ģê³ł": 119073, + "Ìĥ": 119074, + "à¸ļาย": 119075, + "ĠCertif": 119076, + "ĠÑĥÑģÑĸÑħ": 119077, + "à¸ķะว": 119078, + "είÏĦε": 119079, + "Ġč": 119080, + "ĠможливÑĸÑģÑĤÑĮ": 119081, + "Ġ-âĢIJ": 119082, + "Ġíĺ¹": 119083, + "ìĤ¬ì§Ħ": 119084, + "ĠданиÑħ": 119085, + "Ġzaháj": 119086, + "주ëĬĶ": 119087, + "Ġгид": 119088, + "niž": 119089, + "Ġ^{°}": 119090, + "Ġkro": 119091, + "Äįen": 119092, + "ÏĨι": 119093, + "ımızda": 119094, + "Ġæ¹ĸ": 119095, + "ĠповÑĢежд": 119096, + "Ġì¡´ìŀ¬": 119097, + "à¸Ļาà¸Ļ": 119098, + "μÎŃνοÏĤ": 119099, + "æ½ľ": 119100, + "ï¼Į使": 119101, + "Ġdosp": 119102, + "Ġliá»ģn": 119103, + "ัà¸ļà¸Ħวาม": 119104, + "ĠÑĢабоÑĤе": 119105, + "ĠмайбÑĥÑĤ": 119106, + "à¹Ģà¸ģษ": 119107, + "BaÅŁ": 119108, + "ĠæĿ±äº¬": 119109, + "наÑĩала": 119110, + "δει": 119111, + "à¥Īप": 119112, + "ÑĸмÑĸ": 119113, + "Ġfizik": 119114, + "วล": 119115, + "ä¼į": 119116, + "Ġà¸Ĭà¸Ļะ": 119117, + "'ÑıÑĤ": 119118, + "нил": 119119, + "инов": 119120, + "ĠÄijoán": 119121, + "รวà¸Ī": 119122, + "fet": 119123, + "à¹Įà¹Ĥ": 119124, + "ĠмаÑĤи": 119125, + "é¨İ": 119126, + "ÐļТ": 119127, + "à¹Ģสà¸Ļà¸Ń": 119128, + "Ġмав": 119129, + "lıģına": 119130, + "ĠпоÑĩина": 119131, + "ูà¸ķร": 119132, + "ÑĨеÑĢ": 119133, + "ujete": 119134, + "Ġtahmin": 119135, + "Ġвимог": 119136, + "à¸²à¸Ł": 119137, + "едж": 119138, + "ÏĦεÏį": 119139, + "adla": 119140, + "ĠÄijÆ°Æ¡ng": 119141, + "ĠداستاÙĨ": 119142, + "Ġbasın": 119143, + "ĠÑħв": 119144, + "Ġreak": 119145, + "ĠоÑĤмеÑĤ": 119146, + "æ³¥": 119147, + "Ġmáte": 119148, + "Ġzorun": 119149, + "ãģ¨æĢĿãģĨ": 119150, + "Ġدرجة": 119151, + "ĠвÑĸдÑģÑĥÑĤ": 119152, + "ĠعاÙħÙĦ": 119153, + "èĶµ": 119154, + "Ġsonraki": 119155, + "Ġmohli": 119156, + "иваеÑĤ": 119157, + "ĠпÑĸдÑģÑĤав": 119158, + "Ġostrov": 119159, + "ानव": 119160, + "âĢŀP": 119161, + "ĠвизнаÑĩа": 119162, + "ĠpravdÄĽpodob": 119163, + "Ġzaz": 119164, + "ìĿ´ë¥¼": 119165, + "ĠджеÑĢ": 119166, + "ĠÐłÐ°Ð´": 119167, + "ĠÑģеÑĢÑĮез": 119168, + "Ġдем": 119169, + "ÏĢή": 119170, + "ĠÐĦвÑĢоп": 119171, + "ĠÄįeské": 119172, + "ï¾ı": 119173, + "ĠØŃÙĬ": 119174, + "ì¼ĢìĿ´": 119175, + "ĠØ®ÙĪÙĨ": 119176, + "ÂłL": 119177, + "ãģĦãģ«": 119178, + "изнеÑģ": 119179, + "ĠÙħÙĤاÙħ": 119180, + "ĠاÙĦØŃÙĦ": 119181, + "ëĨį": 119182, + "ĠØ¢ÛĮا": 119183, + "翼": 119184, + "ï¼½": 119185, + "æ¸IJ": 119186, + "ливÑĸ": 119187, + "ãģĦãģ¦ãģĦãĤĭ": 119188, + "ĠÎijÎł": 119189, + "ĠиÑģполÑĮзÑĥеÑĤÑģÑı": 119190, + "Ġmát": 119191, + "Ġμεγά": 119192, + "ëħ¼": 119193, + "æµ·éģĵ": 119194, + "ĠÙħØ´Ú©ÙĦات": 119195, + "Ñĩна": 119196, + "';';": 119197, + "Ġμία": 119198, + "ÏģÏİν": 119199, + "Ġbyste": 119200, + "ĠÑįлекÑĤÑĢи": 119201, + "ĠYardım": 119202, + "Ġhát": 119203, + "ĠÐĶеÑĢжав": 119204, + ".С": 119205, + "Ġorada": 119206, + "Ġalanı": 119207, + "åľ°åŁŁ": 119208, + "ĠدÙĩÙĨد": 119209, + "менÑĪ": 119210, + "ĠоÑĢганов": 119211, + "Ġعص": 119212, + "ูà¸ĩส": 119213, + "Ġشعر": 119214, + "Ġìĸ»": 119215, + "Ġάλλ": 119216, + "Ġgói": 119217, + "ĠÙĨاØŃ": 119218, + "å¼ĺ": 119219, + "à¥įथल": 119220, + "ilim": 119221, + "ëIJĺì§Ģ": 119222, + "ĠконÑĨе": 119223, + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł": 119224, + "Ġì¤Ģë¹Ħ": 119225, + "ĠostatnÃŃ": 119226, + "Ġvlády": 119227, + "ĠÑģобиÑĢа": 119228, + "ĠìĹŃìĤ¬": 119229, + "à¹ģà¸ģรม": 119230, + ".ï¼ı": 119231, + "ÙıÙĪÙĨ": 119232, + "پس": 119233, + "ĠWikip": 119234, + "Ġæ¾": 119235, + "ĠжаÑĢ": 119236, + "容æĺĵ": 119237, + "ĠprostÅĻednictvÃŃm": 119238, + "Ġženy": 119239, + "Ġèı²å¾ĭ宾çĶ³åįļ": 119240, + "аÑİÑĤÑģÑı": 119241, + "Ġmiêu": 119242, + "ĠpenÃŃze": 119243, + "διά": 119244, + "oldur": 119245, + "ĠпÑĢимеÑĢно": 119246, + "ĠìŀĪê³ł": 119247, + "à¸ĩà¸Ńย": 119248, + "ковий": 119249, + ".ÎŁ": 119250, + "à¹ĥà¸Ħร": 119251, + "çĭł": 119252, + "ĠÐŁÑĸв": 119253, + "æĶ¹éĿ©": 119254, + "ĠÐĿаÑģеление": 119255, + "Å¡etÅĻ": 119256, + "ÙĴب": 119257, + "ĠâĶĢ": 119258, + "غÙĬÙĦ": 119259, + "ĠдÑĸÑıлÑĮнÑĸÑģÑĤÑĮ": 119260, + "ĠÙĦÙĬس": 119261, + "Ġìĭľìŀ¥": 119262, + "ãĥŁãĥ¥": 119263, + "ĠÚ©ÙĪت": 119264, + "ĠÎĵι": 119265, + "ิà¹Ģว": 119266, + "ektor": 119267, + "ĠбÑĥдÑĥ": 119268, + "новаж": 119269, + "ÑīаеÑĤÑģÑı": 119270, + "Ġngôn": 119271, + "ĠvÄĽc": 119272, + "å¾IJ": 119273, + "à¸Ńà¹Ģมร": 119274, + "ัà¸įà¸Ĭ": 119275, + "ĠиÑģполÑĮзÑĥÑİÑĤ": 119276, + "rubu": 119277, + "Ġnhá»±a": 119278, + "ãģĮãģĬ": 119279, + "ĠÐĵаÑĢ": 119280, + "оÑĢе": 119281, + "ĠзолоÑĤ": 119282, + "æŁ³": 119283, + "ĠÙĬØ´": 119284, + "ĠповиннÑĸ": 119285, + "اÙĤتص": 119286, + "ÙĦØŃ": 119287, + "ĠокÑĤÑıбÑĢÑı": 119288, + "ĠnÄĽkdy": 119289, + "ĠобÑĢа": 119290, + "ستگÛĮ": 119291, + "符åIJĪ": 119292, + "Ġthiá»ĥu": 119293, + "æĺ¯ä»Ģä¹Ī": 119294, + "Ġrozs": 119295, + "ì½ľê±¸": 119296, + "ĠкаÑĦ": 119297, + "åIJĮæŃ¥": 119298, + "ì¼ĵ": 119299, + "ÏĢÏĦÏħ": 119300, + "à¸łà¸²à¸¢à¹ĥà¸Ļ": 119301, + "ιÏĥÏĦή": 119302, + "ĠدÙĪÙĦار": 119303, + "ĠÙħاÙĬÙĪ": 119304, + "ĠpeÄį": 119305, + "ัà¸ļม": 119306, + "ÎĻÎĶ": 119307, + "ıydı": 119308, + "ัà¸ģà¸Ĺ": 119309, + "à¸Ľà¸£à¸°à¸ĸม": 119310, + "και": 119311, + "Ġprodej": 119312, + "ĠиÑİлÑı": 119313, + "ĠvÅ©": 119314, + "驱": 119315, + "ĠhvÄĽ": 119316, + "æĥ³è¦ģ": 119317, + "ç¯Ħ": 119318, + "çak": 119319, + "ĠмÑıг": 119320, + "ımın": 119321, + "Ġdispozici": 119322, + "Ġukaz": 119323, + "racak": 119324, + "Ġболезни": 119325, + "วà¹Ĥม": 119326, + "Ġзел": 119327, + "ĠÐĴики": 119328, + "ĠÐłÐ¾Ð´": 119329, + "ูà¸ģà¸Ħ": 119330, + "íij¸": 119331, + "Ġthải": 119332, + "Ġbaģımsız": 119333, + "ĠÑĢоÑģÑģий": 119334, + "ĠÐļам": 119335, + "ĠиÑģполÑĮзованиÑı": 119336, + "ĠØŃØ°": 119337, + "³³³³³³³³³": 119338, + "ĠاÙĨتÙĤاÙĦ": 119339, + "ĠабÑģолÑİÑĤ": 119340, + "ĠÄ±ÅŁÄ±k": 119341, + "ÏĦογÏģαÏĨ": 119342, + "ĠболÑĮÑĪой": 119343, + "Ġعبارت": 119344, + "ÃŃž": 119345, + "Ġدرست": 119346, + "ĠÑģлово": 119347, + "à¥ĪĊ": 119348, + "بÙĪب": 119349, + "ĠÐĴоÑĤ": 119350, + "วà¹Ħà¸Ľ": 119351, + "Ġbilinen": 119352, + "ĠÙĤÙĬ": 119353, + "Ġbunların": 119354, + "Ùijت": 119355, + "Ġbasit": 119356, + "릿": 119357, + "ائرة": 119358, + "Ġpů": 119359, + "ĠedilmiÅŁ": 119360, + "Ġä½IJ": 119361, + "ĠYönetim": 119362, + "ÙħÛĮر": 119363, + "Ġspou": 119364, + "æ·±åľ³": 119365, + "ĠвзаÑĶм": 119366, + "ÎĻÎĽ": 119367, + "Ðĥ": 119368, + "ĠдеÑĢжавноÑĹ": 119369, + "Ġmrt": 119370, + "ĠDemir": 119371, + "é»İ": 119372, + "ĠÑĢегÑĥлÑıÑĢ": 119373, + "Ġникогда": 119374, + "å¼¾": 119375, + "à¥īड": 119376, + "Ġглаз": 119377, + "ĠÙħÛĮÚ©ÙĨ": 119378, + "éĻIJå®ļ": 119379, + "Ġнавк": 119380, + "ĠподÑĤ": 119381, + "ĠتصÙĪÛĮر": 119382, + "ĠاÙĦØŃدÙĬØ«": 119383, + "ĠdoÅ¡lo": 119384, + "нÑİÑİ": 119385, + "ĠÑģÑħод": 119386, + "Ø·ÙĤØ©": 119387, + "ĠÑģенÑĤÑıбÑĢÑı": 119388, + "çī¹æ®Ĭ": 119389, + "à¸ģารà¹ģà¸Ĥ": 119390, + "ázd": 119391, + "ÑĶÑĤе": 119392, + "ĠΣε": 119393, + "ĠÙĦÙĥÙĦ": 119394, + "åIJįåŃĹ": 119395, + "اÙĨÛĮا": 119396, + "Ġcins": 119397, + "기ìĹħ": 119398, + "ĠéŁ³": 119399, + "éłĥ": 119400, + "ยาย": 119401, + "ìļķ": 119402, + "ĠvÃŃtÄĽz": 119403, + "à¥įरब": 119404, + "ĠشرÙĤÛĮ": 119405, + "ĠbezpeÄįnost": 119406, + "Ġçerçev": 119407, + "Ġ맼": 119408, + "cky": 119409, + "ĵ¨": 119410, + "ĠÑĥмоваÑħ": 119411, + "лиÑħ": 119412, + "meniz": 119413, + "ĠبگÛĮر": 119414, + "ÙĨÙī": 119415, + "Ġà¸ģารà¹ģà¸Ĥ": 119416, + "ιÏĥε": 119417, + "âĢ³E": 119418, + "Ġdöneminde": 119419, + "리카": 119420, + "ĠåĪ°": 119421, + "Ġhukuk": 119422, + "аÑĤоÑĢа": 119423, + "ĠاÙĦعÙĨ": 119424, + "ïºĺ": 119425, + "ünüz": 119426, + "ÑģоÑĤ": 119427, + "ุษ": 119428, + "ĠdÆ°Æ¡ng": 119429, + "ovny": 119430, + "ĠÑĦоÑĢма": 119431, + "ãģĹãģ®": 119432, + "زÙĬز": 119433, + "ĠاÙĦÙĨاس": 119434, + "ĠÑĩим": 119435, + "大人": 119436, + "Ú¯ÙĬ": 119437, + "ĠÐĵоÑģп": 119438, + "é¢Ĩ导": 119439, + "Ġninh": 119440, + "Ġราà¸Ħา": 119441, + "ÙĤاء": 119442, + "ìī¬": 119443, + "ĠìĿ´ìłĦ": 119444, + "ĠÃ¶ÄŁretmen": 119445, + "ĠÑĨвеÑĤа": 119446, + "енноÑģÑĤÑĮ": 119447, + "大ãģį": 119448, + "ĠмиÑģÑĤеÑĨÑĤ": 119449, + "رÙĪت": 119450, + "poÅĪ": 119451, + "ĠÅŀirket": 119452, + "ĠкÑĢаÑģив": 119453, + "ĠÑĢеÑģÑĥÑĢÑģ": 119454, + "ä¹¾": 119455, + "ĠÙģÙĩ": 119456, + "ĠYÃĸ": 119457, + "èĬ³": 119458, + "μÏīÏĤ": 119459, + "ÄĽji": 119460, + "Ġвлаж": 119461, + "ĠÑĥвели": 119462, + "اذا": 119463, + "ãĢĤå¦Ĥæŀľ": 119464, + "ĠпÑĢиÑģÑĥÑĤÑģÑĤв": 119465, + "ĠẤn": 119466, + "æĢĸ": 119467, + "ĠÐľÐµÑĤ": 119468, + "Ġjedna": 119469, + "Ġcục": 119470, + "ĠاÙĨتشار": 119471, + "ĠзокÑĢема": 119472, + "иÑĩеÑģки": 119473, + "ĠкÑĢаÑĹни": 119474, + "иÑĢÑĥ": 119475, + "ĠÑĸнÑĤеÑĢ": 119476, + "Ġаналог": 119477, + "ÑĽ": 119478, + "ีà¸ĭ": 119479, + "нÑĥли": 119480, + "ĠNinh": 119481, + "еÑĢаÑĤоÑĢ": 119482, + "Ġruce": 119483, + "ĠÑĪкÑĸ": 119484, + "ترÙĨت": 119485, + "Ġsonrası": 119486, + "Ġæį": 119487, + "ÑĨенÑĤÑĢа": 119488, + "Ġà¸Ńำà¹Ģà¸ł": 119489, + "Ø·ÙĬ": 119490, + "ï¼Įå½ĵ": 119491, + "ĠÑĤÑĢеÑħ": 119492, + "ÂłH": 119493, + "æ´ª": 119494, + "ãĥ³ãĥĦ": 119495, + "ĠвÑĸдповÑĸдалÑĮ": 119496, + "âĢĻdaki": 119497, + "áÅĻi": 119498, + "ĠpÅĻem": 119499, + "tuk": 119500, + "ĠÙģرÙħÙĪد": 119501, + "ĠìĿ¸ì¦Ŀ": 119502, + "สำà¸Ļ": 119503, + "ìĥģìĿĺ": 119504, + "ÅĻÃŃm": 119505, + "澤": 119506, + "ĠÑĢей": 119507, + "ĠлÑİбой": 119508, + "ujte": 119509, + "ë³µì§Ģ": 119510, + "Ġدرس": 119511, + "ĠÐĴлади": 119512, + "ĠÑģвоим": 119513, + "ĠìĿ¸íĦ°ëĦ·": 119514, + "è±Ĭ": 119515, + "Ġналог": 119516, + "ãĤĪãģ³": 119517, + "Ġخاطر": 119518, + "ĠìŀħëĭĪëĭ¤": 119519, + "ãĢĤãģĹãģĭãģĹ": 119520, + "лаг": 119521, + "å°ĸ": 119522, + "ëĭ¥": 119523, + "ìĬ¤ëĬĶ": 119524, + "ìĭłì²Ń": 119525, + "ãĥĩãĥ¼ãĤ¿": 119526, + "ĠÑĥÑĢовнÑı": 119527, + "Ġ무ìĬ¨": 119528, + "ĠاÙĦأرض": 119529, + "à¹īà¸ķ": 119530, + "Ỽt": 119531, + "ĠÙĨÛĮرÙĪ": 119532, + "墨": 119533, + "ãĤ¶ãĥ¼": 119534, + "ruba": 119535, + "ĠÙĨشدÙĩ": 119536, + "илÑı": 119537, + "acÃŃm": 119538, + "ãĥ©ãĤ¯": 119539, + "XH": 119540, + "Ġسرد": 119541, + "Ġदस": 119542, + "tember": 119543, + "ĠDoÄŁum": 119544, + "ĠпÑĢоÑĢ": 119545, + "θοÏĤ": 119546, + "ĠiÅŁe": 119547, + "à¸Ńà¸Ł": 119548, + "лаÑĪ": 119549, + "اصÙĦÙĩ": 119550, + "livÄĽ": 119551, + "ë¶Ģë¶Ħ": 119552, + "нак": 119553, + "åįģä¸ī": 119554, + "สาห": 119555, + "à¸Ľà¸£à¸°à¹Ģà¸Ĺศà¹Ħà¸Ĺย": 119556, + "ãĤŃãĥ³ãĤ°": 119557, + "ĠмеÑĤоÑİ": 119558, + "Ġkullanarak": 119559, + "âij¡": 119560, + "ÛĮزات": 119561, + "ĠÙħÙĪباÛĮÙĦ": 119562, + "ĠзнаÑĩиÑĤ": 119563, + "Ġorganizace": 119564, + "ÑĢии": 119565, + "ovna": 119566, + "Ġê²½ìłľ": 119567, + "ãĢģå½¼": 119568, + "Ġमस": 119569, + "Ġà¹Ĥà¸Ľà¸£": 119570, + "LARI": 119571, + "æĩĤ": 119572, + "Ġва": 119573, + "ĠÙĥÙĨت": 119574, + "ĠÑĢабоÑĤа": 119575, + "ÂłĠÂłĠÂł": 119576, + "好äºĨ": 119577, + "ĠzamÄĽstn": 119578, + "женÑĮ": 119579, + "Ġukon": 119580, + "nÄĽné": 119581, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 119582, + "ĠاÙĦخاصة": 119583, + "ĠÄįasu": 119584, + "å°ı说": 119585, + "ĠØŃرکت": 119586, + "æijĦ": 119587, + "ÏĩÏī": 119588, + "ĠÑģвеж": 119589, + "æĸ°éĹ»": 119590, + "Ġìĭ±": 119591, + "ĠeÄŁer": 119592, + "Ġsituace": 119593, + "Ġç·¨": 119594, + "fik": 119595, + "ë§Īëĭ¤": 119596, + "ÎķÎļ": 119597, + "Ġê°ľìµľ": 119598, + "ĠcÃł": 119599, + "ادث": 119600, + "Ġsayıda": 119601, + "ĠØ£ÙģضÙĦ": 119602, + "æ³ķéĻ¢": 119603, + "Ġ.,": 119604, + "ĠThÆ°Æ¡ng": 119605, + "ÏģÏĮÏĤ": 119606, + "ãģĹãĤĪãģĨ": 119607, + "Çİ": 119608, + "æij¸": 119609, + "ĠéĻ³": 119610, + "¥IJ": 119611, + "ฤà¸Ķ": 119612, + "Ġgiảng": 119613, + "ĠлÑİбов": 119614, + "Ġekran": 119615, + "опиÑģ": 119616, + "еждÑĥ": 119617, + "Ġназва": 119618, + "æĭĵ": 119619, + "ıf": 119620, + "à¹Īà¸ģ": 119621, + "иÑĩнÑĸ": 119622, + "Ġê³Ħíļį": 119623, + "à¸łà¸²à¸Ħม": 119624, + "Ġاپ": 119625, + "리ìĿĺ": 119626, + "ãģ§ãģĻãģĮ": 119627, + "Ġkonci": 119628, + "ĠکارخاÙĨÙĩ": 119629, + "Ġä½ķ": 119630, + "ĠÑĤва": 119631, + "ĠÐŁÐ¾ÑģÑĤ": 119632, + "ĠапÑĢелÑı": 119633, + "ĠاÙĦعراÙĤ": 119634, + "ä¸Ńåįİ": 119635, + "à¹ĩà¸Ńà¸ģ": 119636, + "à¥įतà¤ķ": 119637, + "Ġzájem": 119638, + "ĠدرجÙĩ": 119639, + "Ġà¤¬à¥ľ": 119640, + "ĠÑģÑĤÑĢан": 119641, + "èŃ¦å¯Ł": 119642, + "ĠyerleÅŁtir": 119643, + "ĠVÅ©": 119644, + "ç¾İåħĥ": 119645, + "Ġì¡°ê¸Ī": 119646, + "Ġรà¸Ńà¸ĩ": 119647, + "Ġakadem": 119648, + "à¸Ħà¸ĵะ": 119649, + "Ġpozit": 119650, + "ĠkoneÄį": 119651, + "è°ĥæŁ¥": 119652, + "Ġãģĭ": 119653, + "ĠÄįervence": 119654, + "ĠOdkazy": 119655, + "ĠëıĦìĭľ": 119656, + "ัสà¸Ķ": 119657, + "Ġgái": 119658, + "ĠÐłÐ¾Ð±": 119659, + "ĠбоÑı": 119660, + "æī©": 119661, + "å¼Ģå±ķ": 119662, + "anik": 119663, + "Ġvyž": 119664, + "ĠbaÅŁlay": 119665, + "ĠbakÄ±ÅŁ": 119666, + "ekce": 119667, + "ÑģÑĤика": 119668, + "еÑĢаÑĤÑĥÑĢа": 119669, + "Ġë¶Ħë¥ĺ": 119670, + "ĠPoÄįet": 119671, + "odáÅĻ": 119672, + "ëĭĺìĿĺ": 119673, + "Ġklid": 119674, + "Û²Û¹": 119675, + "ĠÚĨÛĮز": 119676, + "mür": 119677, + "Ġsứ": 119678, + "ÙĬاÙĨØ©": 119679, + "åĬ±": 119680, + "Ġoku": 119681, + "Ġводи": 119682, + "ĠزÛĮرا": 119683, + "大åĪ©": 119684, + "ĠÙĦÛĮÙĨÚ©": 119685, + "ĠÙĬجب": 119686, + "ÙħÛĮÙĦ": 119687, + "ĠÏĥÏĦÏģα": 119688, + "æĻĵ": 119689, + "ิสà¸ķ": 119690, + "ĠÅŁiddet": 119691, + "ĠÑĢекоменда": 119692, + "Ġpožadav": 119693, + "ĠпÑĸÑģ": 119694, + "åħ¬å¼ı": 119695, + "ĠÚ¯ÛĮرÛĮ": 119696, + "кÑĤа": 119697, + "ĠÙħÙĨاطÙĤ": 119698, + "Ġfirmy": 119699, + "Ġà¹Ħà¸Ľ": 119700, + "ĠÎŃÏģγ": 119701, + "å¿«éĢŁ": 119702, + "ãģĮãģªãģĦ": 119703, + "неÑģÑĤи": 119704, + "Ġç²¾": 119705, + "ÑĢади": 119706, + "ãĤĴãģĭ": 119707, + "ﺪ": 119708, + "kynÄĽ": 119709, + "Ġहत": 119710, + "tak": 119711, + "ĠÙĬÙĪÙĨÙĬÙĪ": 119712, + "Ã¶ÄŁ": 119713, + "ĠÑĢÑĥк": 119714, + "åľĭéļĽ": 119715, + "ÑİÑģÑĮ": 119716, + "Ġдавно": 119717, + "Ġpopis": 119718, + "ĠBÄ°L": 119719, + "ĠÙĨÙĤد": 119720, + "ĠÑģпож": 119721, + "ÑĨионнÑĭÑħ": 119722, + "ĠÑĪп": 119723, + "ÑĥÑİÑīиÑħ": 119724, + "ĠвоздÑĥÑħ": 119725, + "ÑĤие": 119726, + "ĠUž": 119727, + "ÏĮδ": 119728, + "à¸ģราà¸Ħม": 119729, + "Ġalanında": 119730, + "Ġsắt": 119731, + "ãĥIJãĤ¤": 119732, + "NgÃły": 119733, + "Ġë¹Į": 119734, + "ï¼īãģ¯": 119735, + "Ġä¿¡": 119736, + "ÐķС": 119737, + "ĠTato": 119738, + "Ġúnora": 119739, + "erap": 119740, + "Äł": 119741, + "ĠTáºŃp": 119742, + "Ġкомпании": 119743, + "ãĥ©ãĤ¤ãĥĪ": 119744, + "éľĢæ±Ĥ": 119745, + "ĠتÙĪÙĤ": 119746, + "âĢĻâĢĻ": 119747, + "ëŀįëĭĪëĭ¤": 119748, + "ĠквÑĸÑĤнÑı": 119749, + "Ġoyuncu": 119750, + "ÂĢÂĢÂĢÂĢÂĢÂĢÂĢÂĢ": 119751, + "åĨĬ": 119752, + "ĠyapmÄ±ÅŁ": 119753, + "ัà¸ĩà¹Ħม": 119754, + "ĠзапаÑħ": 119755, + "ála": 119756, + "ĠÑĤеÑħниÑĩеÑģ": 119757, + "ĠØŃص": 119758, + "รà¸Ķ": 119759, + "å¼Ħ": 119760, + "ĠÚ¯ÛĮاÙĩ": 119761, + "اÙĩرة": 119762, + "Ġà¤ıड": 119763, + "нимаеÑĤ": 119764, + "ادÙĨ": 119765, + "ÎľÎij": 119766, + "Ġ社": 119767, + "аÑĢÑĩ": 119768, + "تز": 119769, + "润": 119770, + "inizin": 119771, + "Ġbeyaz": 119772, + "ĠبÙĪÙĦ": 119773, + "åĿ¡": 119774, + "ãģ®ãĤĪãģĨãģ«": 119775, + "Ġyaptıģ": 119776, + "Ġdaģı": 119777, + "ĠbaÅŁarı": 119778, + "ĠÏĢά": 119779, + "ĠпÑĢодаж": 119780, + "Bá»Ļ": 119781, + "Ġतत": 119782, + "Ġpodstat": 119783, + "Ġæµģ": 119784, + "ĠzdravÃŃ": 119785, + "Ġç¡": 119786, + "Ġopak": 119787, + "Ġhá»įa": 119788, + "æĭĶ": 119789, + "Ñĥжд": 119790, + "Ġtrứng": 119791, + "ÙĪرÙĬØ©": 119792, + "Ñĭл": 119793, + "umsuz": 119794, + "Ġسبب": 119795, + "许å¤ļ": 119796, + "å®ŀéªĮ": 119797, + "Ġболи": 119798, + "Ġduyá»ĩt": 119799, + "áºŃc": 119800, + "ĠÐijез": 119801, + "ĠبÙĦÙĨد": 119802, + "мм": 119803, + "ÑĢел": 119804, + "NÄ°": 119805, + "Ġãĥ¯": 119806, + "éĭ¼": 119807, + "ĠÑģвÑı": 119808, + "ĠåIJİ": 119809, + "Ġmuht": 119810, + "ĠпÑĢоблеми": 119811, + "ĠÑĤÑıжел": 119812, + "ĠСем": 119813, + "à¸¤à¸©à¸łà¸²à¸Ħม": 119814, + "à¹Īาà¸ķ": 119815, + "örü": 119816, + "üyorum": 119817, + "ĠاÙĦØ£ØŃ": 119818, + "ĠÑģÑĤÑĢаÑĪ": 119819, + "hoo": 119820, + "धर": 119821, + "Ġtlak": 119822, + "Ġsrpna": 119823, + "ifikace": 119824, + "Ġreh": 119825, + "ĠминÑĥ": 119826, + "ãĢĢj": 119827, + "ĠгÑĢÑĥпи": 119828, + "Ġάλ": 119829, + "Ġolursa": 119830, + "λογία": 119831, + "ĠÐĴик": 119832, + "Ġmücadel": 119833, + "ĠzávÄĽ": 119834, + "ĠÑĦевÑĢа": 119835, + "Äįná": 119836, + "à¹Įà¹Ģà¸ĭ": 119837, + "ĠÙĦÙĦØŃ": 119838, + "ÑĢип": 119839, + "ĠбÑĥк": 119840, + "ãģĪãģªãģĦ": 119841, + "Ġporad": 119842, + "Ġsamostat": 119843, + "Ġtesis": 119844, + "ابÙĤÙĩ": 119845, + "ĠجدÙĬدة": 119846, + "éĢĴ": 119847, + "âĶģâĶ": 119848, + "سÛĮÙĨ": 119849, + "ĠgerektiÄŁini": 119850, + "ียà¸Ļà¸ļ": 119851, + "è¨Ģãģ£ãģ¦": 119852, + "ĠÑĸнÑĤеÑĢеÑģ": 119853, + "ĠÑıким": 119854, + "ĠæĢ»": 119855, + "kovou": 119856, + "Ġdemek": 119857, + "اÙĨÙĬا": 119858, + "Ġdomů": 119859, + "Å¡nÃŃ": 119860, + "ateÅĻ": 119861, + "åĢ«": 119862, + "δοÏĥη": 119863, + "Ġ기ìĹħ": 119864, + "åĶĩ": 119865, + "ì¹ł": 119866, + "ÑĸдÑĥ": 119867, + "린ìĿ´": 119868, + "æľĢåĪĿ": 119869, + "è¸ı": 119870, + "æĥ³åĪ°": 119871, + "à¥įबर": 119872, + "ĠìŀĶ": 119873, + "ĠÑĢазнÑĭÑħ": 119874, + "krom": 119875, + "ιαν": 119876, + "ĠдÑĢÑĥз": 119877, + "仿": 119878, + "Ġê·¸ëłĩ": 119879, + "ĠдалÑĸ": 119880, + "æķĪæŀľ": 119881, + "Ġहव": 119882, + "è¼Ŀ": 119883, + "Ġì°¸ê³ł": 119884, + "ĠìĨĶ": 119885, + "Ġznal": 119886, + "ĠпеÑĢÑģ": 119887, + "ÙIJÙij": 119888, + "ĠÑĤеж": 119889, + "åĭŁ": 119890, + "ιθ": 119891, + "Äįů": 119892, + "Ġekip": 119893, + "Ġkhung": 119894, + "éĹĺ": 119895, + "ĠتصÙħÛĮÙħ": 119896, + "оиÑĤ": 119897, + "ĠÑħол": 119898, + "æĬŀ": 119899, + "amam": 119900, + "Ġâĸ³": 119901, + "ãģĩ": 119902, + "ĠعÙĨÙĩ": 119903, + "Ġì°¸ê°Ģ": 119904, + "ĠÎļÏĮ": 119905, + "åı¤å±ĭ": 119906, + "ковоÑĹ": 119907, + "ศà¸Ī": 119908, + "ологиÑı": 119909, + "ĠÙħثبت": 119910, + "ĠÐļÑĢаÑĹна": 119911, + "ĠмеÑģÑıÑĨев": 119912, + "Ġalınan": 119913, + "ĠÏĢÏģαγμα": 119914, + "Ġìŀ¡ëĭ´": 119915, + "Ġплод": 119916, + "ĠÑĤкани": 119917, + "ÑģÑĭлки": 119918, + "سطس": 119919, + "ranÄĽ": 119920, + "каж": 119921, + "емаÑĤи": 119922, + "ĠزÛĮست": 119923, + "æ¿Ł": 119924, + "Ġpoplat": 119925, + "γÎŃν": 119926, + "íĨłíĨł": 119927, + "Ġtây": 119928, + "Ġìµľê·¼": 119929, + "ãĥ©ãĥ³ãĤ¹": 119930, + "ĠgüneÅŁ": 119931, + "ĠÙģÙĤ": 119932, + "ĠsaÄŁlayan": 119933, + "ĠØŃزب": 119934, + "à¥ģलन": 119935, + "ĠBilim": 119936, + "ĠBatı": 119937, + "æł·çļĦ": 119938, + "δικ": 119939, + "αÏģίοÏħ": 119940, + "ĠìĽĢ": 119941, + "Ġlá»Ńa": 119942, + "ÙĨÙĪع": 119943, + "çݲ": 119944, + "аном": 119945, + "ĠstátnÃŃ": 119946, + "Ġäºİ": 119947, + "Ġmùi": 119948, + "ĠÄijá»Ļt": 119949, + "æ²ĥ": 119950, + "åħ¬åľĴ": 119951, + "ĠÑģÑĮогоднÑĸ": 119952, + "ноÑģи": 119953, + "Za": 119954, + "Ġдли": 119955, + "ĠÏĥÏħνÎŃ": 119956, + "ĠVá»ĭ": 119957, + "mav": 119958, + "ĠMüslüman": 119959, + "/ï¼ı": 119960, + "ĠзаÑīиÑĤ": 119961, + "éĸī": 119962, + "Ġçģ«": 119963, + "Ġå·Ŀ": 119964, + "Ġаж": 119965, + "è¿ĩæĿ¥": 119966, + "à¸Ĺาà¸Ļ": 119967, + "ĠAraÅŁtır": 119968, + "Õ¡Õ": 119969, + "ĠpomÄĽr": 119970, + "Ġdům": 119971, + "妮": 119972, + "ĠhlavnÄĽ": 119973, + "Ġfinans": 119974, + "ĠγνÏī": 119975, + "ÏĥÏĦημα": 119976, + "ï¼ĮçĶ¨": 119977, + "ìĭŃìĭľìĺ¤": 119978, + "ĠÙħثاÙĦ": 119979, + "-Ðij": 119980, + "ÑĨÑĸйнÑĸ": 119981, + "ĠدستÙĩ": 119982, + "à¥īस": 119983, + "ÑĢÑĸп": 119984, + "ĠpÅĻipom": 119985, + "ĠÙĪÙĦÙĬ": 119986, + "ĠÙĪزÙĨ": 119987, + "Ġelektrik": 119988, + "ĠQuân": 119989, + "ivé": 119990, + "Ġlẽ": 119991, + "ç®Ģåįķ": 119992, + "Ġonlara": 119993, + "оÑģлав": 119994, + "ìĭľíĤ¤": 119995, + "몬": 119996, + "ĠÙħÙĤدار": 119997, + "ĠOrta": 119998, + "ĠSeç": 119999, + "ĠÙĨÙĪÙģÙħبر": 120000, + "ุà¸Ļายà¸Ļ": 120001, + "ĠÑĥмови": 120002, + "Ġपरम": 120003, + "Ġstrom": 120004, + "ĠкÑĢаÑīе": 120005, + "秦": 120006, + "缸æīĭ": 120007, + "鼻è¦ĸ": 120008, + "Ġuygulama": 120009, + "ĠÑĢиз": 120010, + "æĪ²": 120011, + "यर": 120012, + "ĠHlav": 120013, + "Ġìĭ¸": 120014, + "ĠлипнÑı": 120015, + "ÅĪujÃŃ": 120016, + "ÑĢиз": 120017, + "é«ĺéĢŁ": 120018, + "缸å½ĵ": 120019, + "kenin": 120020, + "ĠоÑģÑĤанов": 120021, + "Ġbitk": 120022, + "ovaného": 120023, + "ĠÐľÐ°ÑĢи": 120024, + "赶": 120025, + "콩": 120026, + "Ġölçü": 120027, + "ĠСеÑĢед": 120028, + "ĠThá»Ŀi": 120029, + "Ïīνα": 120030, + "ÙĪبة": 120031, + "Ġchụp": 120032, + "âĢĮد": 120033, + "Ġcháy": 120034, + "ĠÐĴели": 120035, + "ĠобÑģÑĤ": 120036, + "Ġìĭľì¦Į": 120037, + "دÙħØ©": 120038, + "под": 120039, + "lue": 120040, + "ĠдÑĸлÑıн": 120041, + "ĠÙ¾ÙĪست": 120042, + "ĠاÙĦÙĨس": 120043, + "èĤĮ": 120044, + "ìĪĺ를": 120045, + "Ġúrov": 120046, + "ĠÙħØ´Ú©ÙĦ": 120047, + "éĩįè¤ĩéĩįè¤ĩ": 120048, + "нез": 120049, + "ĠdoporuÄį": 120050, + "Ġtasarım": 120051, + "íģ¬ê¸°": 120052, + "ìĿ´ìħĺ": 120053, + "Ġdeset": 120054, + "ĠÙħرتبط": 120055, + "ัà¸Ĵà¸Ļา": 120056, + "'ı": 120057, + "Ñĩки": 120058, + "ĠìŀĪëįĺ": 120059, + "ÑĪка": 120060, + "nám": 120061, + "ÑģÑĤÑĢов": 120062, + "à¥įसर": 120063, + "нÑĥлаÑģÑĮ": 120064, + "ãģ¡ãĤĩãģ£ãģ¨": 120065, + "Ġå¦": 120066, + "γÏĮ": 120067, + "Ġé»ij": 120068, + "Xem": 120069, + "Ġtá»ĩ": 120070, + "ĠëĮĢíĨµëł¹": 120071, + "기ê´Ģ": 120072, + "æīįèĥ½": 120073, + "è¯Ńè¨Ģ": 120074, + "edeyse": 120075, + "ĠТÑĭ": 120076, + "ĠÑģоедин": 120077, + "ĠìĹĨìĬµëĭĪëĭ¤": 120078, + "ÑıÑİÑĤ": 120079, + "à¹ģหล": 120080, + "Ġì§Ģë°©": 120081, + "ĠosobnÃŃ": 120082, + "ÛĮÙĦÛĮ": 120083, + "ĠавгÑĥÑģÑĤа": 120084, + "Ñīик": 120085, + "Ġvýše": 120086, + "gth": 120087, + "ĠÏĢαν": 120088, + "جار": 120089, + "Ġвидов": 120090, + "ìĿ´ìĬĪ": 120091, + "ĠÐijаÑĢ": 120092, + "ĠÏĮÏĢοÏħ": 120093, + "æ¤ħ": 120094, + "ĠعاÙĦÛĮ": 120095, + "ĠQuyết": 120096, + "ÃľM": 120097, + "ãĥĿãĤ¤ãĥ³ãĥĪ": 120098, + "Ġê¹Į": 120099, + "Ġканди": 120100, + "kového": 120101, + "ĠMerkez": 120102, + "Ġyiy": 120103, + "ĠpÅĻÃŃspÄĽ": 120104, + "ĠÑĤемпеÑĢаÑĤÑĥÑĢÑĭ": 120105, + "ĠÙ¾ÙĬ": 120106, + "ฤศà¸Ī": 120107, + "è°ĥçĶ¨": 120108, + "ĠÑģÑĤоÑĢонÑĥ": 120109, + "à¹īà¸Ĭ": 120110, + "好ãģį": 120111, + ".Åŀ": 120112, + "ĠпÑĢоз": 120113, + "ÙĨتاج": 120114, + "鼻åŃIJ": 120115, + ".:.:.": 120116, + "è¨ĵ": 120117, + "иÑĩеÑģкое": 120118, + "Ġноги": 120119, + "ĠλÎŃ": 120120, + "Ġsıkıntı": 120121, + "Ġê°Ģ족": 120122, + "ĠتÙĨظÙĬÙģ": 120123, + "Ġödül": 120124, + "ĠaÅŁaģıdaki": 120125, + "Ġželez": 120126, + "ĠاÙĦعدÙĬد": 120127, + "غÙĨ": 120128, + "ĠоконÑĩ": 120129, + "ÑĢемÑı": 120130, + "LÄ°": 120131, + "Ġnejd": 120132, + "ĠÏĢλα": 120133, + "Ñģко": 120134, + "ĠìĪĻ": 120135, + "ĠÙ¾ÙĪÙĦ": 120136, + "θενήÏĤ": 120137, + "Ġ주ìļĶ": 120138, + "ĠæĬ¥": 120139, + "ĠÙħÙħا": 120140, + "ÐłÐ¡Ðł": 120141, + "ĠÑĢадÑĸ": 120142, + "ä¸Ģç§į": 120143, + "é¾Ħ": 120144, + "Ġsöyl": 120145, + "Ïģκεια": 120146, + "ĠземлÑĸ": 120147, + "ĠveÄįer": 120148, + "geç": 120149, + "ستÙħ": 120150, + "Ġsefer": 120151, + "ĠÑģвÑĸд": 120152, + "ï»Łï»": 120153, + "алов": 120154, + "ìĬ¤ë¥¼": 120155, + "âī¥": 120156, + "ĠتÙĦÙģÙĨ": 120157, + "åİ»äºĨ": 120158, + "़à¥ĭà¤Ĥ": 120159, + "ĠÑĦоÑĢме": 120160, + "düm": 120161, + "åħģ": 120162, + "ÑĢап": 120163, + "ĠVÆ°Æ¡ng": 120164, + "à¸Ńะà¹Ħร": 120165, + "ัà¸ģษà¸ĵ": 120166, + "Ġåį³": 120167, + "ĠاÙĦرÙħ": 120168, + "ĠзаÑħиÑģÑĤÑĥ": 120169, + "°E": 120170, + "odÃŃ": 120171, + "Ġवन": 120172, + "ĠÄijèn": 120173, + "ĠåıĹ": 120174, + "èIJ½ãģ¡": 120175, + "Ġzim": 120176, + "리ì¦Ī": 120177, + "èĪĴ": 120178, + "ĠзбÑĸÑĢ": 120179, + "Ġä»·æł¼": 120180, + "ĠлÑİдина": 120181, + "ĠÐŁÐ¾ÑģиланнÑı": 120182, + "иÑī": 120183, + "ĠΨ": 120184, + "ิà¸ģายà¸Ļ": 120185, + "Ġbudete": 120186, + "ĠзÑĢоÑģÑĤ": 120187, + "Ġvyk": 120188, + "ĠÐĹем": 120189, + "ĠиÑİнÑı": 120190, + "ĠmÄĽlo": 120191, + "ÙĦاÙģ": 120192, + "ĠÙĪØ´": 120193, + "ĠÑģпÑĢави": 120194, + "ãģĻãģİ": 120195, + "ĠгÑĢадÑĥ": 120196, + "Roz": 120197, + "ινή": 120198, + "Ġchá»ĵng": 120199, + "ä¸Ģåį·": 120200, + "ĠXem": 120201, + "ĠÑģимвол": 120202, + "ĠodmÃŃt": 120203, + "ĠÑĢÑıдом": 120204, + "ĠÑĩеÑĢвнÑı": 120205, + "à¸ģระà¸Ĺ": 120206, + "人人": 120207, + "æ°ĹæĮģãģ¡": 120208, + "undaki": 120209, + "åľĭ家": 120210, + "εÏģμαν": 120211, + "ĠлÑĮ": 120212, + "ĠNüfus": 120213, + "ĠмеÑĢе": 120214, + "براÙĬر": 120215, + "наннÑı": 120216, + "ĠнаÑĢ": 120217, + "Ġtấm": 120218, + "æĸ½å·¥": 120219, + "顯": 120220, + "Ġhè": 120221, + "æĺİçĻ½": 120222, + "Ġдогов": 120223, + "ĠÙģرÙħ": 120224, + "èĢĹ": 120225, + "ìĬ¤ìĿĺ": 120226, + "ìĦ¸ëĮĢ": 120227, + "è¯ļ": 120228, + "ĠнеболÑĮ": 120229, + "Ġà¸Ľà¸£à¸°à¸ģ": 120230, + "Ġì¹¼": 120231, + "Ġovliv": 120232, + "ĠNGC": 120233, + "ãĢĤä¸į": 120234, + "اÙĦÙī": 120235, + "æī£": 120236, + ".ÐIJ": 120237, + "ÑĢаÑģÑĤа": 120238, + "ĠÃĩev": 120239, + "ãģ£ãģ¡": 120240, + "ï¼Įéĥ½": 120241, + "ĠrovnÄĽÅ¾": 120242, + "ĠÏĩÏģÏĮνια": 120243, + "Ġì¡°ìĦł": 120244, + "Ġآباد": 120245, + "ĠÐľÐ°Ñģ": 120246, + "çĻ¼å±ķ": 120247, + "ä»Ķ": 120248, + "Ġkendisini": 120249, + "à¹Īà¸Ńà¸ĩà¹Ģà¸Ĺ": 120250, + "ĠVÄĽ": 120251, + "Ġrượu": 120252, + "Ġmáme": 120253, + "ĠоÑĩеÑĢедÑĮ": 120254, + "ĠسبتÙħبر": 120255, + "Ġбок": 120256, + "ì§ĢìĹŃ": 120257, + "ĠتاثÛĮر": 120258, + "Ġlisans": 120259, + "Ġgerektir": 120260, + "Ġsizi": 120261, + "Ñĸно": 120262, + "ĠMÃ¼ÅŁ": 120263, + "ãģıãĤīãģĦ": 120264, + "ĠзаклÑİÑĩ": 120265, + "ãģĵãģ¨ãģ«": 120266, + "è¨ĢãģĦ": 120267, + "ãĢģå°ı": 120268, + "Ġetmektedir": 120269, + "åł±åijĬ": 120270, + "ĠkarÄ±ÅŁ": 120271, + "Ġоблад": 120272, + "å¥ij": 120273, + "racat": 120274, + "ĠارتÙģاع": 120275, + "μαι": 120276, + "íĶĪ": 120277, + "ĠÙĪÙĦÙħ": 120278, + "ëĬĶì§Ģ": 120279, + "lomou": 120280, + "ĠлиÑĨа": 120281, + "ĠìĿĮìķħ": 120282, + "ĠhodnÄĽ": 120283, + "èĭ±æĸĩ": 120284, + "ÂĦ": 120285, + "à¹īาà¸Ĥà¸Ńà¸ĩ": 120286, + "Ġê³Ħìķ½": 120287, + "åIJĦç§į": 120288, + "ĠÙħرگ": 120289, + "éĶģ": 120290, + "Ġनद": 120291, + "ãĥĭãĥ¡": 120292, + "Ġем": 120293, + "ĠeleÅŁtir": 120294, + "ĠíĬ¹ë³Ħ": 120295, + "ĠÎ¥ÏĢο": 120296, + "Å¡ker": 120297, + "LERÄ°": 120298, + "æ²Ī": 120299, + "likleri": 120300, + "ĠÙħÙĩÙĨدسÛĮ": 120301, + "Ġbaģır": 120302, + "dıģını": 120303, + "ĠاÙĦتد": 120304, + "à¸¸à¸Ľà¸ģรà¸ĵ": 120305, + "ĠÑģледÑĥÑİÑīие": 120306, + "Ġì§ģìłij": 120307, + "å°¤": 120308, + "ĠоÑģновÑĸ": 120309, + "ĠtÄĽla": 120310, + "Ġпак": 120311, + "izace": 120312, + "Ġnárod": 120313, + "aný": 120314, + "ĠÑįп": 120315, + "Ġüçüncü": 120316, + "ΥΡ": 120317, + "éĨ´éĨ´": 120318, + "à¹Ģà¸ģà¸Ńร": 120319, + "âĢĮاÙĨبار": 120320, + "ç¶Ļ": 120321, + "ÎijÎł": 120322, + "ılıģı": 120323, + "ĠÃľrün": 120324, + "Ġдозвол": 120325, + "ĠíĥĪ": 120326, + "Ġà¤ĵवर": 120327, + "諸": 120328, + "èĺĩ": 120329, + "ĠпÑĢоÑģÑĤÑĢан": 120330, + "éĿĴå¹´": 120331, + "ãģ®æĸ¹": 120332, + "ĠÚĨÚ¯ÙĪÙĨÙĩ": 120333, + "ÙĦØ·": 120334, + "âĢľæĪij": 120335, + "Ġëĭ¤ìļ´ë°Ľ": 120336, + "ा.Ċ": 120337, + "Ġmücadele": 120338, + "ĠcÃŃt": 120339, + "à¹Īวมà¸ģ": 120340, + "ģına": 120341, + "ê°ľë°ľ": 120342, + "ĠÏĢαιδ": 120343, + "ضاÛĮ": 120344, + "Ġborç": 120345, + "íĬľ": 120346, + "ĠخدÙħت": 120347, + "Ġudál": 120348, + "Ġвиг": 120349, + "Ġë°°ìĨ¡": 120350, + "å¹¾": 120351, + "Ùİج": 120352, + "ĠìĹĺ": 120353, + "çĢ¬": 120354, + "ïĢ": 120355, + "ĠÎijθή": 120356, + "пÑĢиклад": 120357, + "ĠпÑĢиÑĩина": 120358, + "ĠÙģشار": 120359, + "滿": 120360, + "Ġdostat": 120361, + "Ġ졸ìĹħ": 120362, + "Ġارز": 120363, + "ÙĪÙĦÙĪج": 120364, + "سÙĪ": 120365, + "æĺłçĶ»": 120366, + "Ġthôi": 120367, + "Ġ³³³": 120368, + "à¹ģà¸Ļะ": 120369, + "è¨ŃåĤĻ": 120370, + "Ġмногие": 120371, + "ÑĤоÑĦ": 120372, + "iÅ¡tÄĽ": 120373, + "à¤Ĺढ": 120374, + "ĠиндивидÑĥ": 120375, + "ĠìĥĿíĻľ": 120376, + "ĠзовÑģÑĸм": 120377, + "íĥķ": 120378, + "çľł": 120379, + "ĠêµŃëĤ´": 120380, + "eptal": 120381, + "raci": 120382, + "è¡¡": 120383, + "ãĦ·": 120384, + "ĠStÅĻed": 120385, + "اÙĦÙĬا": 120386, + "ΣΤ": 120387, + "Ľ°": 120388, + "ãĥīãĥ«": 120389, + "ázÃŃ": 120390, + "ĠаÑģп": 120391, + "ĠdÄ±ÅŁarı": 120392, + "ĠвиÑĢобниÑĨÑĤва": 120393, + "eza": 120394, + "ï¼Įä¸įè¿ĩ": 120395, + "çĥ¦": 120396, + "ãĥ³ãĤ°ãĥ«": 120397, + "Ġrozvoj": 120398, + "ĠÙħÙĨتشر": 120399, + "ĠÑĥÑĤеп": 120400, + "ĠدÙĬÙĨ": 120401, + "ĠзаÑģобÑĸв": 120402, + "NgÆ°á»Ŀi": 120403, + "ãĤ·ãĥ¼": 120404, + "ĠFransız": 120405, + "ÎĻΤ": 120406, + "ائÙģ": 120407, + "ιÏĩ": 120408, + "ีà¹Ģม": 120409, + "à¥įमन": 120410, + "à¥įमà¤ļ": 120411, + "Ġسعر": 120412, + "ï¾Ŀ": 120413, + "ë°©ë²ķ": 120414, + "ĠСо": 120415, + "Ġà¤ĸबर": 120416, + "ìĨĮê°ľ": 120417, + "Ġslova": 120418, + "QPCP": 120419, + "ĠKız": 120420, + "Ø·ÙģاÙĦ": 120421, + "ĠкоÑĢм": 120422, + "ĠìĹħëį°ìĿ´íĬ¸": 120423, + "espoÅĪ": 120424, + "à¸Ķาว": 120425, + "оÑĢом": 120426, + "ĠгÑĢаÑĦ": 120427, + "ĠпÑĸÑĪ": 120428, + "Ġë¿IJ": 120429, + "ýv": 120430, + "Сам": 120431, + "Ġkrev": 120432, + "ĠBunu": 120433, + "Ġzobraz": 120434, + "ĠسخÙĨ": 120435, + "ĠæĶ¯": 120436, + "лÑİб": 120437, + "ÙİاÙĨ": 120438, + "маÑĤÑĢива": 120439, + "λεÏį": 120440, + "ĠпоÑħод": 120441, + "ĠгÑĢе": 120442, + "çľĭçĿĢ": 120443, + "à¸Īำà¸ģ": 120444, + "ัà¸ĩà¸Ħม": 120445, + "Ġseçenek": 120446, + "Ä°stanbul": 120447, + "ĠвÑĸдмов": 120448, + "miyor": 120449, + "Ġmụn": 120450, + "ìĿ´ìĹIJ": 120451, + "ĠNhÆ°": 120452, + "Âłtom": 120453, + "lıkları": 120454, + "ÂłÄij": 120455, + "ãĥ»ãĥŀ": 120456, + "ĠÙģت": 120457, + "ĠFakültesi": 120458, + "ìłĦíŀĪ": 120459, + "éªij": 120460, + "ĠìŀijìĿĢ": 120461, + "ç¼ĺ": 120462, + "ìºIJ": 120463, + "Ġmüzik": 120464, + "алÑĭ": 120465, + "Ġpozem": 120466, + "çĥ§": 120467, + "Ġ常": 120468, + "Å¡il": 120469, + "à¤Ĩप": 120470, + "à¸ģำหà¸Ļà¸Ķ": 120471, + "Ġگردش": 120472, + "λιά": 120473, + "Ġöden": 120474, + "åıªè¦ģ": 120475, + "ĠÄIJo": 120476, + "Ġstratej": 120477, + "ĠÙĩتÙĦ": 120478, + "ÙĤÙģ": 120479, + "Ġkullanılır": 120480, + "ĠÑģпоÑģÑĤ": 120481, + "ĠnÄĽho": 120482, + "ĠÐŁÐµÑĢед": 120483, + "ĠизмеÑĢ": 120484, + "]]>": 120485, + "ĠнÑĸколи": 120486, + "Ġhayal": 120487, + "ĠдодаÑĤков": 120488, + "Ġनà¤ķ": 120489, + "Ġinsanın": 120490, + "à¸¸à¸¡à¸łà¸²à¸ŀ": 120491, + "ografie": 120492, + "воб": 120493, + "ĠاÙĨساÙĨÛĮ": 120494, + "Ġmük": 120495, + "ĠÑĥмеÑĢ": 120496, + "оÑĩнÑĭе": 120497, + "ëıĦìĿĺ": 120498, + "Ġara": 120499, + "Ġ빨": 120500, + "ĠκÏį": 120501, + "лой": 120502, + "Ñģион": 120503, + "ĠrozdÃŃl": 120504, + "ayıf": 120505, + "ĠÙĪاØŃدة": 120506, + "оÑĢалÑĮ": 120507, + "Ġpochop": 120508, + "éļ¨": 120509, + "à¹īà¸Ńà¸ĩà¸Ļ": 120510, + "ĠÙĪاÙĨ": 120511, + "ξε": 120512, + "Ġμον": 120513, + "ÑĥÑĪка": 120514, + "ordum": 120515, + "æ¸ħæ¥ļ": 120516, + "ĠDeÄŁ": 120517, + "ÏĢÏģο": 120518, + "ĠÙĪاÙĦتÙĬ": 120519, + "Ġpokus": 120520, + "íĽĦ기": 120521, + "饮": 120522, + "æĹħè¡Į": 120523, + "ĠженÑīин": 120524, + "ĠdoÄŁrudan": 120525, + "ĠÑıб": 120526, + "ĠzaÄįÃŃ": 120527, + "Ġë³´ìŬ": 120528, + "-CP": 120529, + "åIJ¨": 120530, + "à¥ĭà¤ĸ": 120531, + "ÑĢогÑĢа": 120532, + "lerdi": 120533, + "ìĬ´": 120534, + "ÙıÙĪا": 120535, + "ĠustanovenÃŃ": 120536, + "ĠдоÑģÑĤав": 120537, + "Ġfırsat": 120538, + "ĠاÙĦÙħÙĩÙĨØ©": 120539, + "ĠвеÑīеÑģÑĤва": 120540, + "ĠнеÑģп": 120541, + "ĠاÙĦکترÙĪÙĨ": 120542, + "taÅŁ": 120543, + "æĪĴ": 120544, + "Ġyurt": 120545, + "Ġgirdi": 120546, + "ĠÐļÑĥб": 120547, + "Ġ를": 120548, + "ุà¹Į": 120549, + "ãģĿãģĨãģª": 120550, + "à¹īĊ": 120551, + "ĠвÑĭбÑĢа": 120552, + "kovÄĽ": 120553, + "ĠSiz": 120554, + "ĠگاÙĩ": 120555, + "ĠЧаÑģ": 120556, + "ĠзгÑĸдно": 120557, + ".ÐŁ": 120558, + "å§Ĭ": 120559, + "ĠÐļÑĥÑĢ": 120560, + "ĠìĿĺíķ´": 120561, + "Ġetraf": 120562, + "ĠкаÑĪ": 120563, + "ĠØ·ÛĮ": 120564, + "ξει": 120565, + "ç²Ĵ": 120566, + "Ġآذ": 120567, + "Ġbölge": 120568, + "Ġà¤®à¤ľà¤¬": 120569, + "ÙIJÙĥ": 120570, + "Ġválky": 120571, + "ãģłãĤĪ": 120572, + "Ġmesaj": 120573, + "ĠpÅĻist": 120574, + "Ġtypu": 120575, + "ĠкиÑĪеÑĩ": 120576, + "ãĤīãģ®": 120577, + "Ġkendisi": 120578, + "ĠвÑĸдбÑĥва": 120579, + "侯": 120580, + "Ġдиза": 120581, + "ãĢĢĊ": 120582, + "ĠпÑĢоÑĨеÑģÑĥ": 120583, + "ĠÑįлекÑĤÑĢ": 120584, + "_PUS": 120585, + "ĠмногиÑħ": 120586, + "Ġkém": 120587, + "æŀª": 120588, + "çݰ代": 120589, + "Ġéħį": 120590, + "ë¡Ń": 120591, + "ÑĤиÑģÑı": 120592, + "Ġlục": 120593, + "ĠÙĪاÙĦØŃ": 120594, + "ptal": 120595, + "ẵng": 120596, + "ÏĢλ": 120597, + "Ġdolu": 120598, + "Ġtòa": 120599, + "Ġиногда": 120600, + "ĠпоÑĢÑıдок": 120601, + "ЯкÑīо": 120602, + "âĶĺ": 120603, + "ĠغربÛĮ": 120604, + "移åĬ¨": 120605, + "ยà¸Ļà¸ķร": 120606, + "HDATA": 120607, + "_PUSHDATA": 120608, + "Ġثابت": 120609, + "åĮħåIJ«": 120610, + "ĠÏĢÏģÎŃÏĢει": 120611, + "़à¥ĭ": 120612, + "åIJįåīį": 120613, + "ÑĤеÑĢи": 120614, + "ｯ": 120615, + "ĠåħĪ": 120616, + "нед": 120617, + "ÏģοÏįν": 120618, + "вей": 120619, + "èĤĸ": 120620, + "ĠÅĻeditel": 120621, + "Ġthép": 120622, + "ĠÙĩÙģتÙĩ": 120623, + "ĠдÑĢÑĥга": 120624, + "ERÄ°": 120625, + "ĠẢ": 120626, + "ĠпеÑĢеÑĢ": 120627, + "ĠжеÑģÑĤ": 120628, + "ĠÄijẳng": 120629, + "禮": 120630, + "алÑĮном": 120631, + "िषय": 120632, + "иденÑĤа": 120633, + "ĠآخرÛĮÙĨ": 120634, + "Ġæĵ": 120635, + "Ġมหาว": 120636, + "ĠлÑİÑĤого": 120637, + "ĠбÑĸзнеÑģ": 120638, + "gıç": 120639, + "Ġngá»ĵi": 120640, + "оÑĩнÑĭй": 120641, + "ĠoÄįek": 120642, + "ĠÙħرة": 120643, + "Ġtvar": 120644, + "ĠsamozÅĻejmÄĽ": 120645, + "ĠBelediye": 120646, + "Ġвода": 120647, + "ĠÚ¯ÛĮرد": 120648, + "ĠгодÑĭ": 120649, + "ãģ«è¡Į": 120650, + "æĺ¯æĪij": 120651, + "ÑĪили": 120652, + "ĠåĽ½äº§": 120653, + "ủi": 120654, + "ĠбÑĥдÑĥÑĤÑĮ": 120655, + "ĠÑĢайонÑĥ": 120656, + "Ġìĵ": 120657, + "ĠÙĪاس": 120658, + "ĠاÛĮشاÙĨ": 120659, + "ενοδο": 120660, + "Ġнезалеж": 120661, + "Ġپشت": 120662, + "ĠgiriÅŁim": 120663, + "Ġделе": 120664, + "ĠاصÙģÙĩاÙĨ": 120665, + "à¸Ķวà¸ģ": 120666, + "ĠاÙĦÙĤÙĬ": 120667, + "à¹Įà¸Ī": 120668, + "못": 120669, + "Ġdru": 120670, + "迹": 120671, + "адженнÑı": 120672, + "ÙģÙĨ": 120673, + "ÏĩοÏĤ": 120674, + "à¹Ĥà¸Ī": 120675, + "eyle": 120676, + "å¡ij": 120677, + "Ġuprav": 120678, + "ĠздаÑĤ": 120679, + "ĠvidÄĽt": 120680, + "Ġà¸Ľà¸£": 120681, + "ĠÑĦеÑĢ": 120682, + "ÐĨн": 120683, + "Ġìµľìĭł": 120684, + "loha": 120685, + "ĠиÑģпÑĭÑĤ": 120686, + "Ġavan": 120687, + "γοÏħ": 120688, + "ĠGiấy": 120689, + "ãĤ»ãĥ³ãĤ¿ãĥ¼": 120690, + "éģį": 120691, + "еÑĢаÑħ": 120692, + "Ġê°Ģì§Ģê³ł": 120693, + "Ġид": 120694, + "Ġmnohem": 120695, + "æ£Ģæµĭ": 120696, + "Ġetme": 120697, + "ĠتÙħر": 120698, + "ĠbaÅŁlayan": 120699, + "ãģıãĤĮ": 120700, + "à¹ĩà¸Ļà¸ģาร": 120701, + "ĠÑħаÑĢакÑĤеÑĢиз": 120702, + "Ġanlamına": 120703, + "ÙıÙĩ": 120704, + "ĠÑģеÑĢпнÑı": 120705, + "çķªçµĦ": 120706, + "Ġmsgid": 120707, + "ĠzvÃŃÅĻ": 120708, + "ĠíļĮìĽIJ": 120709, + "Ġyapar": 120710, + "ä¼ĺåĬ¿": 120711, + "еннÑĭми": 120712, + "Ġأث": 120713, + "ì²Ļ": 120714, + "Ġjiného": 120715, + "ĠدÙģاع": 120716, + "ĠØŃÚ©ÙĪÙħ": 120717, + "Ġrizik": 120718, + "άλι": 120719, + "à¸ĩà¸Ĥ": 120720, + "èµ¢": 120721, + "ĠÎķÎĽ": 120722, + "Ġokum": 120723, + "æĶ¶åħ¥": 120724, + "ĠÚĨÛĮÙĨ": 120725, + "æľīçļĦ": 120726, + "ÑĨами": 120727, + "dÄĽnÃŃ": 120728, + "ĠкоÑĢаб": 120729, + "Ġalanda": 120730, + "สà¸Ļาม": 120731, + "ï¼īãģ®": 120732, + "ısız": 120733, + "ÙĬÙĬر": 120734, + "ÙĥÙĬØ©": 120735, + "ĠneboÅ¥": 120736, + "Ġbitir": 120737, + "Ġãĥľ": 120738, + "Ùijا": 120739, + "ï¼Ĩ": 120740, + "ĠاÙĦتارÙĬØ®": 120741, + "มหาà¸Ļà¸Ħร": 120742, + "atürk": 120743, + "ãĤ¹ãĥĨãĥł": 120744, + "θήκη": 120745, + "Ġκαν": 120746, + "ĠSür": 120747, + "ĠdÄ±ÅŁÄ±": 120748, + "Ġkancel": 120749, + "Ġپخش": 120750, + "hPa": 120751, + "ĠÄįt": 120752, + "ĠпÑĢоÑħ": 120753, + "à¹īà¸Ī": 120754, + "Ġê±°ìķ¼": 120755, + "ĠдеÑĢжавного": 120756, + "èĤ¡ä¸ľ": 120757, + "ìĿ´íģ¬": 120758, + "ÙĥتÙĪر": 120759, + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 120760, + "診": 120761, + "ĠبÙħا": 120762, + "ĠноÑĢмаÑĤив": 120763, + "çiler": 120764, + "à¸ĩศ": 120765, + "éĽĨä¸Ń": 120766, + "ÑĢиÑģ": 120767, + "ÑĩаÑĶ": 120768, + "liÄŁin": 120769, + "ãĥ¼ãĤ¿ãĥ¼": 120770, + "аÑĢаÑĤ": 120771, + "åĬĽéĩı": 120772, + "ĠÑģÑħем": 120773, + "åħ¥åı£": 120774, + "离å¼Ģ": 120775, + "ÏģοÏĨοÏģίεÏĤ": 120776, + "ĠÐĹаÑĤем": 120777, + "ĠkarÅŁÄ±sında": 120778, + "ĠاÙĨتظ": 120779, + "ï½Ĭ": 120780, + "ĠeÅŁit": 120781, + "Ġyazılı": 120782, + "Ðļом": 120783, + "ازÙĬ": 120784, + "Ġkimse": 120785, + "ÑĢаÑīи": 120786, + "ัà¸ģส": 120787, + "Ġkanun": 120788, + "ĠëIJĺìĹĪ": 120789, + "ĠιÏĥÏĩ": 120790, + "Ġмеди": 120791, + "æ°§": 120792, + "ï¼Įåħ¶ä¸Ń": 120793, + "Ġyoktu": 120794, + "ĠãĤ½": 120795, + "ĠпÑĢиобÑĢеÑĤ": 120796, + "ÙĪÛĮØ´": 120797, + "ãħłãħł": 120798, + "ĠکردÙħ": 120799, + "Ġduvar": 120800, + "Ġç¸": 120801, + "ısır": 120802, + "Ġïºį": 120803, + "ĠÐłÐ¾ÑģÑģиÑı": 120804, + "à¹īà¹ĥà¸Ļ": 120805, + "ĠiÅŁi": 120806, + "dol": 120807, + "ĠÙħØŃÙħÙĪد": 120808, + "ĠÑģамÑĭÑħ": 120809, + "ĠبÙĨابراÛĮÙĨ": 120810, + "ãĤĮãģ©": 120811, + "ุà¸ķสาห": 120812, + ".»": 120813, + "ูà¸Ĭ": 120814, + "ĠTep": 120815, + "ãģıãĤĵ": 120816, + "Ġå¸ĥ": 120817, + "Ġतल": 120818, + "Ġserm": 120819, + "λÏĮγ": 120820, + "ĠÅŀimdi": 120821, + "Ġà¤ľà¤¨à¤¤": 120822, + "-ÐĴ": 120823, + "訪": 120824, + "ĠвÑĸдпов": 120825, + "ิà¸Ļà¸Ķ": 120826, + "ιÏĥμÏĮÏĤ": 120827, + "ΩΤ": 120828, + "âĨĴâĨĴ": 120829, + "ικοί": 120830, + "ĠÑģпÑĢава": 120831, + "æľºåħ³": 120832, + "ĠÃĿ": 120833, + "Ġмова": 120834, + "Ġмогла": 120835, + "ĠдлиÑĤелÑĮ": 120836, + "ãģĹãģ¦ãĤĤ": 120837, + "ĠβÏģί": 120838, + "Ġжод": 120839, + "éĹª": 120840, + "ĠмÑĸÑģÑĮкоÑĹ": 120841, + "ηÏģε": 120842, + "çłĤ": 120843, + "Ġkterých": 120844, + "ĠÐĵолов": 120845, + "Ġhá»Ļp": 120846, + "ĠpanÃŃ": 120847, + "تÙħاد": 120848, + "Âľ": 120849, + "åįģåħŃ": 120850, + "κοÏĤ": 120851, + "евÑĭÑħ": 120852, + "æĭĴ": 120853, + "ĠÑģÑĤоÑĢон": 120854, + "Ġphóng": 120855, + "ĠÑĥлÑĥÑĩÑĪ": 120856, + "mrt": 120857, + "mpar": 120858, + "ĠSlav": 120859, + "Ġkov": 120860, + "ìĿ¸ìĿĢ": 120861, + "ĠåºĶ": 120862, + "ัà¸ļà¸Ħ": 120863, + "Ġkì": 120864, + "ĠaÅ¥": 120865, + "ÅĻÃŃt": 120866, + "ì°Į": 120867, + "ÙħÙĨت": 120868, + "ıyorlar": 120869, + "æŃ£å¸¸": 120870, + "нÑıÑĤÑĤÑı": 120871, + "racÃŃ": 120872, + "ĠпиÑĤаниÑı": 120873, + "à¸Īะà¹Ģà¸Ľ": 120874, + "ĠاÙĦÙĩÙĨد": 120875, + "ĠDost": 120876, + "ĠÐĴаÑģилÑĮ": 120877, + "ĠíĥĦ": 120878, + "Ġnạn": 120879, + "à¹Īà¸Ńà¹Ħà¸Ľ": 120880, + "رÙĪض": 120881, + "±ظ": 120882, + "Ġbychom": 120883, + "à¸Ļวย": 120884, + "ãģłãģ£ãģ¦": 120885, + "ĠÐĺÑģп": 120886, + "à¸Ħรà¸ļ": 120887, + "Ġสà¸ĸาà¸Ļ": 120888, + "ĠëĤ®": 120889, + "jiÅ¡tÄĽ": 120890, + "ĠÙģÙĪت": 120891, + "ĠChÆ°Æ¡ng": 120892, + "ĠìĿ´ë£¨": 120893, + "ĠpÅĻÃŃtom": 120894, + "tual": 120895, + "bette": 120896, + "Ġsabah": 120897, + "μί": 120898, + "Ġmá»ĩnh": 120899, + "ãģ®ãģłãĤįãģĨ": 120900, + "ĠzamÄĽÅĻ": 120901, + "åįģäºĶ": 120902, + "ĠìķĬìĿĦ": 120903, + "اÙĨÙĪ": 120904, + "енÑĥ": 120905, + "ĠÑĥгод": 120906, + "ĠVÆ°á»Ŀn": 120907, + "Ġëĵ±ìĿĦ": 120908, + "Ġbelirtilen": 120909, + "æŁĦ": 120910, + "Ġteklif": 120911, + "¬Ĥ": 120912, + "ĠподаÑĤков": 120913, + "ĠاÙĦÙĨÙĩ": 120914, + "ï¼´": 120915, + "ìĽĥ": 120916, + "Ġहल": 120917, + "ĠимÑĥ": 120918, + "ĠкоÑĤоÑĢÑĭм": 120919, + "ï¼Į以åıĬ": 120920, + "ĠÑĤабли": 120921, + "ा:": 120922, + "Ġبرج": 120923, + "ĠÎŃναν": 120924, + "ĠÙĬÙĪÙĦÙĬÙĪ": 120925, + "ýš": 120926, + "ĠÙĬج": 120927, + "ĠÑĤÑĢоÑħи": 120928, + "æŀĿ": 120929, + "ĠdÃły": 120930, + "ĠBurada": 120931, + "ĠÏĥÏħμβ": 120932, + "ĠÎijÏģÏĩ": 120933, + "ĠsociálnÃŃ": 120934, + "ĠÚ¯ÙĪ": 120935, + "Ġyanıt": 120936, + "ãģ¯ãģªãģĦ": 120937, + "ãģ®ä¸Ĭ": 120938, + "Ġnúi": 120939, + "ĠرÙģتار": 120940, + "ĠÙħرات": 120941, + "زÙħاÙĨ": 120942, + "าà¸Īารย": 120943, + "ĠÑĩиÑģлÑĸ": 120944, + "ĠسÙĨت": 120945, + "ĠÃĸzellikle": 120946, + "ìĩ¼": 120947, + "ĠÄįÃŃm": 120948, + "ADDE": 120949, + "ãģ®ãĤĪãģĨãģª": 120950, + "ÙĪÙĦÙĪÚĺÛĮ": 120951, + "ĠíĻľìļ©": 120952, + "ãĢģãģ©ãģĨ": 120953, + "ĠÎłÏģÏī": 120954, + "çĻ»åł´": 120955, + "ĠнаданнÑı": 120956, + "ĠмеÑĢеж": 120957, + "ĠìĿµ": 120958, + "jÃŃcÃŃch": 120959, + "itou": 120960, + "ÙĤÙĪÙĦ": 120961, + "Ùħج": 120962, + "ĠبÙĨد": 120963, + "Ġönüne": 120964, + "Ġï½°": 120965, + "зв": 120966, + "ĠеÑģÑĤе": 120967, + "ÐłÐĺ": 120968, + "ÑĢол": 120969, + "ayla": 120970, + "ĠклÑĥ": 120971, + "æݨèĸ¦": 120972, + "ĠÑĢозÑĢаÑħ": 120973, + "Ġìĥģëĭ´": 120974, + "ĠÙĨسÙħØ©": 120975, + "ĠвиÑħод": 120976, + "à¥Ģà¤Ĩà¤Ī": 120977, + "ĠпÑĢиÑģÑĤÑĥп": 120978, + "ÙĴع": 120979, + "ĠteÅŁekkür": 120980, + "дÑıки": 120981, + "Ġfikir": 120982, + "ัศà¸Ļ": 120983, + "ĠآزÙħاÛĮØ´": 120984, + "Ġbizi": 120985, + "ÏĨαÏģ": 120986, + "æľªæĿ¥": 120987, + "æIJº": 120988, + "ĠδÏħνα": 120989, + "ĠرÙĪÙħ": 120990, + "Ġbundan": 120991, + "ĠÙĤاÙĦب": 120992, + "Ġhaft": 120993, + "忽": 120994, + "ĠÐľÐ¾ÑĢ": 120995, + "Ġzápas": 120996, + "Ġë¹Ľ": 120997, + "å»·": 120998, + "äºĪç´Ħ": 120999, + "Ġkhuyến": 121000, + "ĠÎijÎĵ": 121001, + "ĠìŀijìĹħ": 121002, + "डर": 121003, + "Ġjednoduch": 121004, + "à¥īम": 121005, + "ĠdeÄŁildi": 121006, + "Ġkolo": 121007, + "ĠدÙĤÛĮ": 121008, + "лами": 121009, + "ĠHá»įc": 121010, + "Ġपस": 121011, + "ĠÎłÏģÏĮ": 121012, + "ĠâĹij": 121013, + "ĠнаÑģлÑĸд": 121014, + "Ġдиви": 121015, + "ĠpÅĻesnÄĽ": 121016, + "ĠТаким": 121017, + "Ġrukou": 121018, + "ä¸ĢåĪĩ": 121019, + "ĠÑģпÑĢи": 121020, + "enské": 121021, + "æŦ": 121022, + "ĠÙĤÙĨ": 121023, + "Ġústav": 121024, + "िशत": 121025, + "à¹Į)": 121026, + "ĠTrang": 121027, + "Ġmohla": 121028, + "ĠÎķλλην": 121029, + "Ġпоки": 121030, + "ĠØ¢Ùħار": 121031, + "åIJ¾": 121032, + "ĠÑĢеÑģп": 121033, + "Ġtakdir": 121034, + "Ġrahatsız": 121035, + "éŁ³ä¹IJ": 121036, + "ĠâĶĥ": 121037, + "ilis": 121038, + "ĠÙĪاÙĦØ¥": 121039, + "å®Ļ": 121040, + "Ñĥмов": 121041, + "ĠÐĽÐ¸ÑĤ": 121042, + "::::|": 121043, + "åħ½": 121044, + "ĠÙĨزدÛĮÚ©": 121045, + "елÑĸв": 121046, + "θοÏįν": 121047, + "ìĹIJìĦľëıĦ": 121048, + "èµĦæł¼": 121049, + "çIJĨ论": 121050, + "ĠKemal": 121051, + "ĠкеÑĢ": 121052, + "ษายà¸Ļ": 121053, + "Ġåįİ": 121054, + ")ìĹIJ": 121055, + "ĠëĬĺ": 121056, + "ãĥĿãĥ¼ãĥĪ": 121057, + "ĠÐĹд": 121058, + "اصÙĬÙĦ": 121059, + "Ġkatı": 121060, + "ãĤĤãģĹãĤĮãģªãģĦ": 121061, + "Ġкаждого": 121062, + "ĠдÑĢ": 121063, + "Ġfutbol": 121064, + "ÙĦÙĬÙģ": 121065, + "Ġì§ĢëĤľ": 121066, + "ĠÙ¾ÛĮØ´ÙĨÙĩ": 121067, + "ülük": 121068, + "Ġà¸ķำà¸ļล": 121069, + "ĠbáºŃc": 121070, + "ĠåĽł": 121071, + "ikler": 121072, + "Ïģιά": 121073, + "Ġвважа": 121074, + "Ġvypl": 121075, + "Ġвниз": 121076, + "íĢ": 121077, + "çľ¾": 121078, + "ĠÑģила": 121079, + "ĠналиÑĩии": 121080, + "ĠعراÙĤ": 121081, + "ĠاÙĦÙħÙĥ": 121082, + "å°±ä¼ļ": 121083, + "ĠмÑĸг": 121084, + "ĠÎĮμιλοÏĤ": 121085, + "Ñīего": 121086, + "Ġíĸīìłķ": 121087, + "Âłmph": 121088, + "Ġmalé": 121089, + "ĠÛĮاÙģتÙĩ": 121090, + "Ġmnoha": 121091, + "γά": 121092, + "ĠпоÑģÑĤÑĢо": 121093, + "ĠاÙĦÙħÙĪس": 121094, + "Ġolma": 121095, + "ëī´ìĬ¤": 121096, + "Ġtutar": 121097, + "ãĥ¼ãĥĵãĤ¹": 121098, + "à¥įथन": 121099, + "-либо": 121100, + "æ¥ŃåĭĻ": 121101, + "ĠоÑģобливо": 121102, + "è®Ģ": 121103, + "ÙģÙĩÙĪÙħ": 121104, + "Ġkẻ": 121105, + "ĠÅ¡tÄĽ": 121106, + "Ġcầm": 121107, + "ĠÄįlánky": 121108, + "ĠÄIJiá»ĩn": 121109, + "(=": 121110, + "OVÃģ": 121111, + "uldu": 121112, + "aft": 121113, + "Ġlãi": 121114, + "Ġdoldur": 121115, + "³³³³³³³³³³³": 121116, + "βι": 121117, + "ãģ£ãģ¦ãģįãģŁ": 121118, + "ì¶ľìŀ¥ìķĪë§Ī": 121119, + "å¯Ŀ": 121120, + "Ġë¶Ģíĥģ": 121121, + "ĠاÙĦاخ": 121122, + "ĠγÏħνα": 121123, + "à¤ıम": 121124, + "à¥Įल": 121125, + "عادة": 121126, + "ĠκοÏħ": 121127, + "ĠÙħطرØŃ": 121128, + "ĠÑĩеловеÑĩ": 121129, + "Ġnumar": 121130, + "Ġдина": 121131, + "ÏĦÏģÎŃ": 121132, + "λικ": 121133, + "Ġдолго": 121134, + "Ġnhiêu": 121135, + "ĠвоÑģÑģÑĤанов": 121136, + "apı": 121137, + "Ġkanı": 121138, + "ĠKế": 121139, + "ãĤīãģļ": 121140, + "Ġharek": 121141, + "ãģłãģijãģ§": 121142, + "æ»ħ": 121143, + "Ġohled": 121144, + "еÑĢим": 121145, + "ĠØŃÙĬÙĨ": 121146, + "ĠÙĤÙĩر": 121147, + "Ġबà¥Ŀ": 121148, + "اپÛĮÙħ": 121149, + "è¶ħè¿ĩ": 121150, + "Ġæħ": 121151, + "ĠتÙģس": 121152, + "asıyla": 121153, + "биÑĤ": 121154, + "ĠØŃاج": 121155, + "ĠÑĤÑĢебованиÑı": 121156, + "Ġæݨ": 121157, + "Ġç±³": 121158, + "ãĤ³ãĥ¼ãĥī": 121159, + "ĠÑĥÑģи": 121160, + "ĠاخÙĦاÙĤ": 121161, + "Ġdostup": 121162, + "ĠعÙĦاÙĤ": 121163, + "िवस": 121164, + "Ġоди": 121165, + "tej": 121166, + "Ġthá»ıa": 121167, + "ัà¸ģษà¸ĵะ": 121168, + "ĠÑĢаÑģк": 121169, + "ĠÐĿаÑĢод": 121170, + "ĠзакÑĥп": 121171, + "ože": 121172, + "Ġاجرا": 121173, + "ê´ijê³ł": 121174, + "аÑĢÑĤам": 121175, + "ĠпеÑĢеж": 121176, + "èij£äºĭ": 121177, + "ĠÑıкоÑģÑĤÑĸ": 121178, + "ĠвÑĥл": 121179, + "мон": 121180, + "Ġchlap": 121181, + "ĠÑįÑĤомÑĥ": 121182, + "аÑĤÑĸ": 121183, + "ĠíĴĪ": 121184, + "è¡Ĺéģĵ": 121185, + "سد": 121186, + "ÙĪرÙĩ": 121187, + "ĠزÛĮاد": 121188, + "åľ¨çº¿è§Ĩé¢ij": 121189, + "اÙĪÙĬØ©": 121190, + "ï¼Įå°±æĺ¯": 121191, + "elerinden": 121192, + "ÑĢажд": 121193, + "Ġпозд": 121194, + "ĠзнаÑĤÑĮ": 121195, + "ัà¸ļสà¸Ļ": 121196, + "à¥ĩà¤ĸत": 121197, + "ĠæĽ°": 121198, + "ê³¼ìłķ": 121199, + "é®®": 121200, + "ĠViá»ĩn": 121201, + "Ġdvoj": 121202, + "ίνεÏĦαι": 121203, + "ĠosobnÃŃch": 121204, + "ĠâĢª": 121205, + "éĻµ": 121206, + "ĠØ®ÙĪدش": 121207, + "ĠاÙĨر": 121208, + "ĠпÑĢоÑĦеÑģÑģионалÑĮ": 121209, + "kám": 121210, + "ĠÙħÙĥاÙĨ": 121211, + "ĠاÙĦأد": 121212, + "Ġê³µë¶Ģ": 121213, + "ĠÄijức": 121214, + "ĠCumhuriyeti": 121215, + "åĩºãģĹ": 121216, + "дами": 121217, + "ĠìĪĺìĥģ": 121218, + "ĠÙģبراÙĬر": 121219, + "Ġsüresi": 121220, + "Ġبج": 121221, + "ĠæĶ¾": 121222, + "ØŃÛĮ": 121223, + "çłĶ究æīĢ": 121224, + "åĩºçīĪ社": 121225, + "ĠÙħÙĪتÙĪر": 121226, + "&&&&": 121227, + "ĠпеÑĢей": 121228, + "ĠìĦłê±°": 121229, + "ĠúspÄĽÅ¡": 121230, + "ارک": 121231, + "Ġettir": 121232, + "Ġì¶ľìŀ¥": 121233, + "ĠKanun": 121234, + "ĠÑĥменÑĮÑĪ": 121235, + "ĠзаÑĤвеÑĢдж": 121236, + "ĠاÙĦدÙĪÙĦÙĬ": 121237, + "Ġãĥĵ": 121238, + "ĠBazı": 121239, + "åŃIJãģ®": 121240, + "åĩ¯": 121241, + "Ġsebeb": 121242, + "Ġåħ±": 121243, + "Ġdnů": 121244, + "ä½įäºİ": 121245, + "ĠZd": 121246, + "æī±": 121247, + "ĠتجربÙĩ": 121248, + "ÃĶNG": 121249, + "Ġìĺ¬ëĿ¼": 121250, + "ÏīÏĦεÏģ": 121251, + "ĠÑģвид": 121252, + "æ¯ĶèµĽ": 121253, + "ãģ«åIJij": 121254, + "ìľĦ를": 121255, + "ãģĹãģ¾ãģĹãģŁ": 121256, + "Ġdá»ĭ": 121257, + "ĠÐłÑĥÑģ": 121258, + "Ġvá»ı": 121259, + "à¤Ĥडल": 121260, + "ĠпиÑī": 121261, + "Ġsmrti": 121262, + "à¸Īาà¸ģà¸ģาร": 121263, + "ĠÑģаÑħаÑĢ": 121264, + "Ġthoát": 121265, + "جÙħØ©": 121266, + "Ġпозвол": 121267, + "ĠاÙĦثاÙĨÙĬØ©": 121268, + "زادÙĩ": 121269, + "ãĢģä¸Ń": 121270, + "ήμεÏģα": 121271, + "æ¦ľ": 121272, + "lacaģı": 121273, + "ĠнаÑĪиÑħ": 121274, + "ìĶĢ": 121275, + "ĠÐĺÑģÑĤоÑĢиÑı": 121276, + "ündeki": 121277, + "ĠпеÑĢел": 121278, + "Ġ목ìĨĮ": 121279, + "ĠÑģÑĤаÑĤÑĥÑģ": 121280, + "овали": 121281, + "ÅĻaz": 121282, + "ĠдÑĢÑĥгого": 121283, + "ÙĥÙĪÙħØ©": 121284, + "ÑĩиÑģÑĤ": 121285, + "μμ": 121286, + "åıįåºĶ": 121287, + "icari": 121288, + "Ġپاک": 121289, + "алÑĮним": 121290, + "ĠBuna": 121291, + "иÑĤив": 121292, + "ÑĦÑĢа": 121293, + "ãĥ¼ãĥĸãĥ«": 121294, + "ĠÑĤобÑĤо": 121295, + "룬ìĬ¤": 121296, + "ĠاÙĦاع": 121297, + "åħ¬éĸĭ": 121298, + "å¥ī": 121299, + "ÙĪÙĦد": 121300, + "åIJįçĦ¡ãģĹ": 121301, + "æ°ij主": 121302, + "à¥ģà¤ľà¤°": 121303, + "ìĤ¬ë¬´": 121304, + "Ġöncelik": 121305, + "Ġå¨": 121306, + "Ñıб": 121307, + "çľī": 121308, + "à¥įवय": 121309, + "ĠHình": 121310, + "çļĦåľ°æĸ¹": 121311, + "ĠاÙĦتس": 121312, + "ä¸Ī夫": 121313, + "ĠпÑĥблÑĸ": 121314, + "ĠnÄĽjaké": 121315, + "ÄIJá»iji": 121316, + "ĠÑģоÑģÑĤоÑıниÑı": 121317, + "à¥Ģ)": 121318, + "ĠÄijáºŃu": 121319, + "jed": 121320, + "ê¶ģ": 121321, + "Ġsenin": 121322, + "ĠHóa": 121323, + "âĻł": 121324, + "лÑıÑİÑĤÑĮ": 121325, + "éĹ²": 121326, + "ìĿ¸íĬ¸": 121327, + "تبÙĩ": 121328, + "Ġरà¤ĸत": 121329, + "ĠÑģловами": 121330, + "ĠطبÙĤ": 121331, + "Ġuydu": 121332, + "ุà¸ĩà¹Ģà¸Ĺà¸ŀมหาà¸Ļà¸Ħร": 121333, + "ĠSanat": 121334, + "à¹īาà¸Ĭ": 121335, + "Ġкниж": 121336, + "Ìģc": 121337, + "اÙħج": 121338, + "δÏİ": 121339, + "Å®": 121340, + "Ġbinh": 121341, + "è¾Ĩ": 121342, + "neÄŁi": 121343, + "Ø·ÙĨ": 121344, + "å¸ķ": 121345, + "Ġìĩ¼": 121346, + "оÑģÑĢед": 121347, + "ĠοÏĢοίο": 121348, + "kır": 121349, + "à¥Īश": 121350, + "Ġà¸ĩาà¸Ļ": 121351, + "Ġdruž": 121352, + "ematik": 121353, + "adıģ": 121354, + "è¾ŀ": 121355, + "ĠpoužÃŃvá": 121356, + "Ġkurtar": 121357, + "ĠsaÄŁlan": 121358, + "ãĢıï¼Ī": 121359, + "Ġmůžeme": 121360, + "Ġباد": 121361, + "æľŁéĹ´": 121362, + "اتÙģ": 121363, + "Ġyazılım": 121364, + "ĠìĹ°ê²°": 121365, + "ÙĬÙģØ©": 121366, + "Ġemin": 121367, + "ĠнеÑģколÑĮкиÑħ": 121368, + "Û´Û°": 121369, + "寧": 121370, + "ίζει": 121371, + "Ġdél": 121372, + "veriÅŁ": 121373, + "ä¾¡æł¼": 121374, + "Ġاستاد": 121375, + "Ġалког": 121376, + ".HCM": 121377, + "ίοÏĤ": 121378, + "ακ": 121379, + "طع": 121380, + "ãģ£ãģį": 121381, + "ÑıеÑĤÑģÑı": 121382, + "лика": 121383, + "ĠÑĨÑı": 121384, + "Ġë§Īì§Ģë§ī": 121385, + "ĠаÑĢми": 121386, + "ĠγλÏİ": 121387, + "ENÃį": 121388, + "뮤": 121389, + "ŃIJï¸ı": 121390, + "Ġæ¯ı": 121391, + "Ġæĸ¼": 121392, + "ĠκαλÏį": 121393, + "ĠТом": 121394, + "ulur": 121395, + "Ġakce": 121396, + "ĠÙħÙĪجب": 121397, + "esiz": 121398, + "нÑıв": 121399, + "алÑĮнÑĥÑİ": 121400, + "алÑĸÑģÑĤ": 121401, + "ĠваÑĢÑĸ": 121402, + "ĠÙħؤس": 121403, + "ĠÙħاÛĮÙĦ": 121404, + "ĠμεÏĦαξÏį": 121405, + "åĩºãģĻ": 121406, + "Ġvá»Ŀi": 121407, + "룴": 121408, + "ï¼ĭ": 121409, + "æ¯İ": 121410, + "Ġtabi": 121411, + "âĤĥ": 121412, + "æ£ĭçīĮ": 121413, + "ĠÃIJ": 121414, + "ĠпÑĢоÑĦеÑģÑĸй": 121415, + "ÑĥваннÑĸ": 121416, + "ξγ": 121417, + "Ġжил": 121418, + "ÚĺÙĨ": 121419, + "лÑĥÑĪ": 121420, + "á½´": 121421, + "овеÑĢ": 121422, + "è¾¼ãģ¿": 121423, + "ĠÐľÐ°ÐºÑģим": 121424, + "ĠвзглÑıд": 121425, + "ĠнаÑĤÑĥ": 121426, + "मà¤ķ": 121427, + "ĠÑħими": 121428, + "ĠÑĢозÑĤаÑĪ": 121429, + "ÙĪراÙĨ": 121430, + "ĠØ´ÙĩرÙĩاÛĮ": 121431, + "æ©Łèĥ½": 121432, + "خذ": 121433, + "ĠÑģвоÑĶÑĹ": 121434, + "нÑıеÑĤ": 121435, + "Ġghế": 121436, + "ĠpÅĻedch": 121437, + "ÑĶÑĪ": 121438, + "огÑĢаÑĦÑĸÑı": 121439, + "Ġà¸Ĺำà¹ĥห": 121440, + "åĿĬ": 121441, + "ÏģÏīν": 121442, + "าระ": 121443, + "ĠKết": 121444, + "Ġchặt": 121445, + "ĠéĻĪ": 121446, + "ĠdÄĽlat": 121447, + "ĠбÑĥдÑĥÑī": 121448, + "ĠAçık": 121449, + "æłªå¼ıä¼ļ社": 121450, + "ĠÐŁÐ°ÑĢ": 121451, + "ĠKhu": 121452, + "ãĢģæĸ°": 121453, + "Ġбой": 121454, + "ë§ĪíĬ¸": 121455, + "ĠÑģопÑĢов": 121456, + "ساب": 121457, + "ниÑģÑĤ": 121458, + "å¼ĥ": 121459, + "ĠØ´ÙĨاس": 121460, + "енном": 121461, + "Ġ项": 121462, + "èīºæľ¯": 121463, + "озем": 121464, + "ĠÑĢеÑĪениÑı": 121465, + "lady": 121466, + "ĠвÑģей": 121467, + "æĶ»åĩ»": 121468, + "Ġê²°ìłķ": 121469, + "ãĢĢï¾ŀ": 121470, + "Ġê°IJëıħ": 121471, + "-ÐIJ": 121472, + "ĠmÃŃr": 121473, + "à¥ģपà¤ı": 121474, + "нÑĸÑĨип": 121475, + "бом": 121476, + "ĠÅ¡t": 121477, + "éľį": 121478, + "ĠÑĢеÑĪение": 121479, + "ĠдиагноÑģÑĤи": 121480, + "ipar": 121481, + "اÛĮز": 121482, + "ãng": 121483, + "ัวร": 121484, + "ĠÑĨаÑĢ": 121485, + "Ġsly": 121486, + "νÏİ": 121487, + "ĠKuzey": 121488, + "رÛĮب": 121489, + "Ġcenu": 121490, + "Ġcertif": 121491, + "ĠÑĤÑĢеÑĤÑĮ": 121492, + "ิà¸Ķà¸Ĥ": 121493, + "ĠпаÑĨÑĸÑĶн": 121494, + "ÅĻiv": 121495, + "èĦĤ": 121496, + "¢°": 121497, + "ĠPhần": 121498, + "ĠмеÑĤоди": 121499, + "Ấ": 121500, + "ìĨĶ": 121501, + "åIJĮåѦ": 121502, + "ĠåĢĭ": 121503, + "моÑĤÑĢÑı": 121504, + "Ġuvád": 121505, + "Û±Û¹Û¶": 121506, + "éģ¸æĬŀ": 121507, + "!»": 121508, + "ëĺIJ": 121509, + "ĠÛĮÙĪتÛĮ": 121510, + "ĠاÙĦØŃرب": 121511, + "ологÑĸÑı": 121512, + "nila": 121513, + "ĠÄijảng": 121514, + "ázi": 121515, + "ÑĢоÑī": 121516, + "Ġortadan": 121517, + "Ġاخبار": 121518, + "Ġà¤ħà¤ľ": 121519, + "Ġ매ìļ°": 121520, + "Ġпой": 121521, + "ĠجÙĬ": 121522, + "кÑĥваÑĤи": 121523, + "Ġá»ŀ": 121524, + "Ġبشر": 121525, + "ĠÙĥÙĬÙĦ": 121526, + "ÑīеÑģÑĤво": 121527, + "ĠìŬíĸī": 121528, + "اÙħÙĬ": 121529, + "вÑĸлÑĮ": 121530, + "ĠPrvnÃŃ": 121531, + "ĠÙĪسÛĮ": 121532, + "ĠÄIJá»": 121533, + "æĪ¿éĹ´": 121534, + "åľ¨çº¿éĺħ读": 121535, + "æķ·": 121536, + "Ġtrai": 121537, + "ä¿Ĺ": 121538, + "ĠÑģамоÑģÑĤоÑıÑĤелÑĮно": 121539, + "ĠÑĤÑĢебÑĥеÑĤÑģÑı": 121540, + "δÏģα": 121541, + "ĠÑĢеÑĩов": 121542, + "ĠвÑĸк": 121543, + "ĠÑĢÑĥÑĩ": 121544, + "奧": 121545, + "ĠolduÄŁuna": 121546, + "евÑĭе": 121547, + "Ġà¸Ħล": 121548, + "اÙĦÙĤ": 121549, + "ĠÑĸменÑĸ": 121550, + "æĶ»æĴĥ": 121551, + "ĠÑĥнивеÑĢÑģиÑĤ": 121552, + "ĠthÄĥm": 121553, + "ĠлиÑģÑĤопада": 121554, + "२०": 121555, + "Ø®ÙĬ": 121556, + "ÎķÎł": 121557, + "Ġarttır": 121558, + "Ġسخت": 121559, + "ï¼ĪæĺŃåĴĮ": 121560, + "ĠÎŁÏħ": 121561, + "иваниÑı": 121562, + "Ġstaveb": 121563, + "âħ¥": 121564, + "γÏīγή": 121565, + "Ù©": 121566, + "ĠиÑģÑģледованиÑı": 121567, + "åĢĭ人": 121568, + "Ġëĭ¤ìļ´ë°Ľê¸°": 121569, + "ĠÏĦελ": 121570, + "°N": 121571, + "ĠباÙĦÙĨ": 121572, + "à¹Įà¸ŀ": 121573, + "Ġnemůže": 121574, + "Ġголова": 121575, + "à¹Įà¹ģ": 121576, + "梯": 121577, + "Âĺ": 121578, + "δηÏĤ": 121579, + "ìĿ¸ì¦Ŀ": 121580, + "layın": 121581, + "á½·": 121582, + "ĠÙĨتاÛĮج": 121583, + "ĠÑģоблÑİд": 121584, + "ĠдвижениÑı": 121585, + "ìĮ": 121586, + "ĠpovÄĽ": 121587, + "ĠìłĦìĹIJ": 121588, + "å¦Ĥä¸ĭ": 121589, + "ĠاÙĦÙħدر": 121590, + "ï¼ĮæĪĸ": 121591, + "ارا": 121592, + "æ°ijæĹı": 121593, + "ĠبرÙĤ": 121594, + "ĠзапаÑģ": 121595, + "à¸Ļà¹ĥà¸Ī": 121596, + "éf": 121597, + "Ġà¸Łà¸£": 121598, + "Ġë³´ëĤ´": 121599, + "Ġ欧ç¾İ": 121600, + "-ÑĤаки": 121601, + "é©ļ": 121602, + "ÑĢÑĸÑı": 121603, + "æŁı": 121604, + "ĠповÑĸÑĤÑĢÑı": 121605, + "çµĦç¹Ķ": 121606, + "daÅŁ": 121607, + "Ġहमल": 121608, + "ĠÑĢеÑĶÑģÑĤÑĢа": 121609, + "άβ": 121610, + "ĠÎłÎ¿": 121611, + "Ġ그림": 121612, + "ÑĩаÑİÑĤ": 121613, + "à¸ĩà¸ķ": 121614, + "íĥĢìĿ´": 121615, + "æī¬": 121616, + "Ġpojist": 121617, + "ĠçłĶ": 121618, + "Ġåıĸ": 121619, + "Ġüzerindeki": 121620, + "jÅ¡ÃŃch": 121621, + "à¥Ģदव": 121622, + "檢": 121623, + "ĠмаÑĤеÑĢиалов": 121624, + "иваннÑı": 121625, + "Ġå°Ĩ": 121626, + "лл": 121627, + "ĠнаблÑİд": 121628, + "ĠGöz": 121629, + "ĠвзÑı": 121630, + "çĶµè§Ĩ": 121631, + "Ġвак": 121632, + "ç¿Ķ": 121633, + "Ġвзаим": 121634, + "Ġgitti": 121635, + "iteleri": 121636, + "ä»·åĢ¼": 121637, + "ĠاÙĦتص": 121638, + "िनà¤ķ": 121639, + "éĢļãĤĬ": 121640, + "ĠÑģÑĦеÑĢ": 121641, + "çĻºå£²": 121642, + "âĿ¤": 121643, + "ĠÚ¯ÙĪØ´ÛĮ": 121644, + "агаÑĤо": 121645, + "ĠÏĥÏħγκ": 121646, + "авиÑģ": 121647, + "æĤ£èĢħ": 121648, + "ĠخاÙħ": 121649, + "ÎĻÎļÎĹΣ": 121650, + "ınızda": 121651, + "panÄĽl": 121652, + "ĠÄIJá»ĭa": 121653, + "à¹ģละส": 121654, + "ĠãĤĤ": 121655, + "Ġsonucunda": 121656, + "ìĿį": 121657, + "eless": 121658, + "ĠNha": 121659, + "Ġzakáz": 121660, + "ĠвоÑģÑĤ": 121661, + "ĠvzdÄĽlávánÃŃ": 121662, + "-ม": 121663, + "Ġmetrů": 121664, + "ĠپاÛĮÛĮÙĨ": 121665, + "ĠÑĢаÑģÑĤение": 121666, + "Ġmuá»iji": 121667, + "èµĦéĩij": 121668, + "ĠÅŁÃ¼ph": 121669, + "ÙĬÙĦÙħ": 121670, + "ĠdÃ¼ÅŁÃ¼nc": 121671, + "ĠкÑĸм": 121672, + "ĠÏĩÏīÏģίÏĤ": 121673, + "ázev": 121674, + "ĠDeÄŁer": 121675, + "å·¥æ¥Ń": 121676, + "ĠرÙħز": 121677, + "ĠalespoÅĪ": 121678, + "ĠпÑĢеÑģÑĤÑĥп": 121679, + "ĠعÙĦاÙĪÙĩ": 121680, + "Ġmerak": 121681, + "à¹Į:": 121682, + "çİ°åľº": 121683, + "ÑĨвеÑĤ": 121684, + "Ġà¤ªà¥ľ": 121685, + "Ġëĭ¤ìĿĮê³¼": 121686, + "udic": 121687, + "ĠLep": 121688, + "ĠоднÑĸ": 121689, + "Ġalarak": 121690, + "å®īæİĴ": 121691, + "Ġà¸Ĥà¸Ļาà¸Ķ": 121692, + "rezent": 121693, + "isinden": 121694, + "رÙĪÛĮ": 121695, + "Ġplu": 121696, + "ç«ĭãģ¦": 121697, + "ÑĭваниÑı": 121698, + "Ġrast": 121699, + "Ġdüzenlem": 121700, + "jezd": 121701, + "ĠвеÑīеÑģÑĤв": 121702, + "ĠдиÑĢекÑĤоÑĢ": 121703, + "ÑĦÑĦ": 121704, + "tainment": 121705, + "ĠاÙĦÙĪز": 121706, + "landa": 121707, + "ĠÙĨÚ¯Ùĩد": 121708, + "ĠпÑĢоÑĤивоп": 121709, + "ãģ£ãģı": 121710, + "ãģ¨ãģªãĤĬ": 121711, + "Ġë°ľê²¬": 121712, + "ictor": 121713, + "ãĤ¸ãĤª": 121714, + "ΣΦ": 121715, + "ĠÑģкладÑĸ": 121716, + "Ġobsahuje": 121717, + "ĠUkra": 121718, + "æķ¦": 121719, + "ĠÏĩαÏģα": 121720, + "ĠÑĢегÑĥли": 121721, + "俺ãģ¯": 121722, + "ัà¸ķว": 121723, + "éĦī": 121724, + "ĠباÛĮ": 121725, + "éĬ·": 121726, + "ĠNẵng": 121727, + "лод": 121728, + "ارÙģ": 121729, + "æ´ģ": 121730, + "ĠëıĻìĿ¼": 121731, + "ÑĤивного": 121732, + "âĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģ": 121733, + "Ġ-:-": 121734, + "컬": 121735, + "ĠÑĪаг": 121736, + "ìłĦìŀIJ": 121737, + "çļĦäºĭæĥħ": 121738, + "ĠÑĢегÑĸ": 121739, + "ियल": 121740, + "ĠÐĿаз": 121741, + "ĠÐĻого": 121742, + "ĠÐłÐ¾Ð¼": 121743, + "ĠÃĸrneÄŁin": 121744, + "ĠпÑĢеÑģ": 121745, + "uluÄŁu": 121746, + "Ġзадов": 121747, + "ÅĻeh": 121748, + "æ¯ķä¸ļ": 121749, + "ĠtháºŃp": 121750, + "ëĤ¸": 121751, + "Ġdlouhodob": 121752, + "дÑĸлÑĥ": 121753, + "alat": 121754, + "ä»°": 121755, + "оком": 121756, + "ĠÑĦÑĸлÑĮ": 121757, + "ĠNgân": 121758, + "ĠترÙĥ": 121759, + "ĠÑĤÑī": 121760, + "رÙĪد": 121761, + "çuk": 121762, + "ranÃŃ": 121763, + "ĠdolaÅŁ": 121764, + "ĠQuang": 121765, + "ĠpÅĻedpok": 121766, + "ĠnámÄĽstÃŃ": 121767, + "ойÑĩив": 121768, + "çĭĢ": 121769, + "ĠбизнеÑģ": 121770, + "ãģŁãģı": 121771, + "ĠìĿ¸ì²ľ": 121772, + "оÑĢо": 121773, + "ĠKürt": 121774, + "ê·¸ëŁ¬": 121775, + "ÑĨаÑĤÑĮ": 121776, + "ĠBên": 121777, + "Ġacı": 121778, + "Ú©Ø´": 121779, + "ï¼Īå¹³æĪIJ": 121780, + "ĠèģĶ": 121781, + ")ãĢģ": 121782, + "diler": 121783, + "ÑĩиÑĤÑĮ": 121784, + "Ưá»": 121785, + "éĻ¶": 121786, + "ileceÄŁini": 121787, + "ĠvÅ¡em": 121788, + "å¼Ģå¥ĸ": 121789, + "è§Ħ模": 121790, + "ulmuÅŁ": 121791, + "ĠåĪĺ": 121792, + "ео": 121793, + "ĠпеÑĢевÑĸÑĢ": 121794, + "åĪĨåĪ«": 121795, + "Ġjedná": 121796, + "liÄŁe": 121797, + "ĠرÙħضاÙĨ": 121798, + "ıklı": 121799, + "ÙĩÙĢ": 121800, + "éĩįçĤ¹": 121801, + "ÑĩиваеÑĤÑģÑı": 121802, + "ë¡ľìĦľ": 121803, + "ÏĦεÏģο": 121804, + "åľ°ä¸ĭ": 121805, + "днаннÑı": 121806, + "Ġngược": 121807, + "४": 121808, + "ĠÎijλ": 121809, + "Ġalacak": 121810, + "Ġà¹Ģà¸ĩ": 121811, + "اÛĮÙĨد": 121812, + "ĠhÃłi": 121813, + "ÑĢоиз": 121814, + "ĠЧи": 121815, + "ĠÑıÑģ": 121816, + "خرÛĮد": 121817, + "Ġhudeb": 121818, + "åľ§": 121819, + "ĠìĦ¼": 121820, + "åĶ¯ä¸Ģ": 121821, + "ĠвÑĸлÑĮ": 121822, + "ĠباÙĦاتر": 121823, + "à¸Ńà¸ģาส": 121824, + "ĠTôi": 121825, + "มà¸Ĥ": 121826, + "omor": 121827, + "ĠOlomou": 121828, + "Ġxong": 121829, + "ĠdomácÃŃ": 121830, + "ĠاختÛĮ": 121831, + "ĠÑĤеÑħнÑĸÑĩ": 121832, + "ĠiÅŁte": 121833, + "à¥Įद": 121834, + "Ġнадеж": 121835, + "Ø®ÛĮص": 121836, + "åĬªåĬĽ": 121837, + "ĠتجÙĩÛĮزات": 121838, + "Ġvole": 121839, + "kinci": 121840, + "Ġhesab": 121841, + "ĠÑģеÑģÑĤ": 121842, + "کا": 121843, + "ÑĤеÑĢн": 121844, + "รรà¸Ħ": 121845, + "åıĤèĢĥ": 121846, + "ĠÐļаб": 121847, + "ĠÄ°mpar": 121848, + "Ġnávrh": 121849, + "åĴ¨è¯¢": 121850, + "à¸ĸาม": 121851, + "Ġyerel": 121852, + "ĠÃĸl": 121853, + "çĮĽ": 121854, + "ĠاÙĦÙĪØ·ÙĨÙĬ": 121855, + "ĠìĿ´ìĸ´": 121856, + "ิà¸Ĺยาศาสà¸ķร": 121857, + "ĠAÅŁ": 121858, + "ĠземлÑİ": 121859, + "ĠдомаÑĪниÑħ": 121860, + "ĠÑĥвеÑĢ": 121861, + "ALI": 121862, + "ган": 121863, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 121864, + "Ġdostan": 121865, + "ezpe": 121866, + "ãģĭãģĦ": 121867, + "رÙģتÙĩ": 121868, + "ĠмÑĥÑģ": 121869, + "à¹Įà¸Ł": 121870, + "覺": 121871, + "ализа": 121872, + "ĠÑĥÑĩÑĢежд": 121873, + "ĠکاÙĦ": 121874, + "Ġetkisi": 121875, + "ä½Ĩæĺ¯": 121876, + "Ġsouvis": 121877, + "ĠSavaÅŁÄ±": 121878, + "Ġبسبب": 121879, + "ÎŁÎ¹": 121880, + "èļ": 121881, + "Ġæ®": 121882, + "ĠìĺģêµŃ": 121883, + "اسÛĮÙĪÙĨ": 121884, + "ĠاÙĦاتØŃاد": 121885, + "ĠглÑı": 121886, + "à¹ĩà¸ģà¸ĭ": 121887, + "ĠجÙĪÙĨ": 121888, + "ĠاÙĦرسÙħÙĬ": 121889, + "ÂłG": 121890, + "ĠÑĤобÑĸ": 121891, + "Âĩ": 121892, + "ĠëĮĢíĸī": 121893, + "çĬ¶æħĭ": 121894, + "Ġê·¸ëĥ¥": 121895, + "Ġимп": 121896, + "ĠتÙĨظÛĮÙħ": 121897, + "ÙĦاÛĮÙĨ": 121898, + "ÑģÑĤвеннÑĭм": 121899, + "опол": 121900, + "رÙĪج": 121901, + "Ġà¸ĩ": 121902, + "ĠçĤº": 121903, + "ĠUluslararası": 121904, + "à¥Įà¤Ĥ": 121905, + "ãĢģãģĿãģĨ": 121906, + "ĠسادÙĩ": 121907, + "ÎŃαÏĤ": 121908, + "Ġà¤Ĩल": 121909, + "-ÑĦ": 121910, + "ĠÎłÎ¿Î»Î¹": 121911, + "ĠноÑıбÑĢÑı": 121912, + "ÙĪÙĦÙĬ": 121913, + "æĽľæĹ¥": 121914, + "æĮģç»Ń": 121915, + "Ġê¼Ń": 121916, + "eceÄŁiz": 121917, + "ĠÛĮاÙģت": 121918, + "Ġåı¸": 121919, + "ाà¤Ĺत": 121920, + "Ġæķħ": 121921, + "ĠаллеÑĢг": 121922, + "Ġtuz": 121923, + "еÑĢÑĤи": 121924, + "Ġthầu": 121925, + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢĠãĢĢ": 121926, + "-à¤ħ": 121927, + "ĠиммÑĥ": 121928, + "ÑĢай": 121929, + "主義": 121930, + "ĠbaÅŁlar": 121931, + "Ġä¸Ĭ涨": 121932, + "عا": 121933, + "ĠÎĻÏī": 121934, + "ียà¸ĩà¹ĥหม": 121935, + "ĠاÙĦÙħدÙĬÙĨØ©": 121936, + "ÑģÑĮко": 121937, + "ĠتارÛĮØ®ÛĮ": 121938, + "atÃŃm": 121939, + "âĢļØ·": 121940, + "آخر": 121941, + "ĠëĦ£": 121942, + "ĠÙĨÙħاÛĮد": 121943, + "ãģķãĤĵãģĮ": 121944, + "Ġbò": 121945, + "Ġà¸ķาม": 121946, + "ë³´ìķĺëĭ¤": 121947, + "аÑĤÑĸв": 121948, + "ĠÑĦил": 121949, + "Ġkısmı": 121950, + "iá»ĩng": 121951, + "Ġaydın": 121952, + "éģķãģĦ": 121953, + "еви": 121954, + "Ġå¾®": 121955, + "(íģ¬ê¸°": 121956, + "ĠÚ¯ÛĮر": 121957, + "ìķĦìĦľ": 121958, + "ĠδημιοÏħÏģγ": 121959, + "ãģ«ãģĬãģĦãģ¦": 121960, + "ĠÃľNÄ°": 121961, + "иÑĤом": 121962, + "عÙĦاÙħ": 121963, + "åIJİçļĦ": 121964, + "Ġplá": 121965, + "à¸Ľà¸£à¸°à¹Ĥย": 121966, + "ç¢İ": 121967, + "Ġéĺ²": 121968, + "ëĬĶëĭ¤": 121969, + "ĠæĹ¥æľŁ": 121970, + "Ġgeçerli": 121971, + "лаÑĤÑĭ": 121972, + "Ġmutlaka": 121973, + "ÙĪغ": 121974, + "à¹Ģฮ": 121975, + "Ġﻣ": 121976, + "edeki": 121977, + "à¹Įà¹Ģà¸Ļ": 121978, + "ĠнайбÑĸлÑĮÑĪ": 121979, + "ï¼Ĭ": 121980, + "Ġà¹Ĥรà¸ĩ": 121981, + "Ġfotbal": 121982, + "ĠéĢģ": 121983, + "âĢĮاÙĦÙħÙĦ": 121984, + "ÏīμάÏĦιο": 121985, + "Ġúkol": 121986, + "åįļ士": 121987, + "dub": 121988, + "ılıģ": 121989, + "ëĵľë¥¼": 121990, + "çĭIJ": 121991, + "αλλ": 121992, + "æŃ»äº¡": 121993, + "ĠпÑĢедпоÑĩ": 121994, + "çµµ": 121995, + "ĠмÑĥзÑĭ": 121996, + "еÑĢÑĤв": 121997, + "ĠÙĥÙĨد": 121998, + "Ġulož": 121999, + "ÎŁÎ¥ÎĽ": 122000, + "gili": 122001, + "üstü": 122002, + "нки": 122003, + "ĠÙĤÙĪاÙĨ": 122004, + "ιακ": 122005, + "ĠÅŁer": 122006, + "ĠкиÑģл": 122007, + "ÙģضÙĦ": 122008, + "ĠÐIJÑĦ": 122009, + "γεν": 122010, + "Ġdostal": 122011, + "ĠsaÄŁlıklı": 122012, + "家æĹı": 122013, + "ÄIJT": 122014, + "еÑĢин": 122015, + "ĠìĿ´ëŁ¬íķľ": 122016, + "Ġdünyada": 122017, + "Ġnhắc": 122018, + "³³Ċ": 122019, + "νηÏĥη": 122020, + "γÏģαμμα": 122021, + "Ġtakson": 122022, + "ĠTürkçe": 122023, + "ĠÙģراÙĨسÙĩ": 122024, + "天åłĤ": 122025, + "溶": 122026, + "Ġoto": 122027, + "èµµ": 122028, + "chyb": 122029, + "Ġå¾Ĵ": 122030, + "ÏĦÏį": 122031, + "áhnout": 122032, + "à¥įपर": 122033, + "Ġvlas": 122034, + "Ġíļ¨ê³¼": 122035, + "Ġthang": 122036, + "Ġolmasına": 122037, + "ĠпоÑĢÑĥÑĪеннÑı": 122038, + "Ġquỹ": 122039, + "ĠíĿIJ": 122040, + "ĠìĪ¨": 122041, + "Ġë²Ī째": 122042, + "ẹn": 122043, + "Ġзгод": 122044, + "Ġتز": 122045, + "Ġاختص": 122046, + "ĠзÑĥÑģÑĤÑĢÑĸ": 122047, + "Ġtặng": 122048, + "ῶν": 122049, + "Ġì½ľ": 122050, + "ованиÑħ": 122051, + "âĢĮشد": 122052, + "Ġaraya": 122053, + "rové": 122054, + "ĠاختÙĦ": 122055, + "ливий": 122056, + "ĠاتØŃاد": 122057, + "ĠakÅŁam": 122058, + "ĠÚ©ÙĦاس": 122059, + "ãĤ¢ãĥĥãĥĹ": 122060, + "Ġzih": 122061, + "åĩĮ": 122062, + "å±±å¸Ĥ": 122063, + "Ġçevres": 122064, + "ĠогÑĢом": 122065, + "ĠآدÙħ": 122066, + "ĠtÄĽlo": 122067, + "ï¼Įæľ¬": 122068, + "ĠÚĺاÙĨÙĪÛĮÙĩ": 122069, + "Ġkraje": 122070, + "μία": 122071, + "èħ¿": 122072, + "âĢŀTo": 122073, + "決å®ļ": 122074, + "ìĩ": 122075, + "ĠéĴ": 122076, + "ĠΣÏĦα": 122077, + "ĠجÙħÙĩÙĪر": 122078, + "ĠGenç": 122079, + "rám": 122080, + "ĠÐłÐµÐ·": 122081, + "Ġvytvá": 122082, + "ĠпÑĢоизводÑģÑĤва": 122083, + "ĠÙħØ°Ùĩ": 122084, + "Ġihtiyac": 122085, + "ãĤ¯ãĤ»": 122086, + "Ġnêu": 122087, + "å¾³": 122088, + "ĠëĵĿ": 122089, + "наÑĩе": 122090, + "ĠÏĥÏħμμε": 122091, + "ÏĨÏīν": 122092, + "вавÑģÑı": 122093, + "ĠвиÑĤами": 122094, + "Ìģt": 122095, + "ĠfinanÄįnÃŃ": 122096, + "åıĬåħ¶": 122097, + "âĢħ": 122098, + "çĭ¼": 122099, + "ัà¸ļà¸ķ": 122100, + "ãģĽãĤĭ": 122101, + "ÎĻÎļÎŁ": 122102, + "λλι": 122103, + "ÑĤоÑİ": 122104, + "اعÙĬØ©": 122105, + "vÃŃce": 122106, + "онÑĸв": 122107, + "ì£Ħ": 122108, + "å»ł": 122109, + "ĠØ´ÙĬØ¡": 122110, + "ĠТем": 122111, + "Ġابزار": 122112, + "ĠTHPT": 122113, + "γγÏģαÏĨ": 122114, + "ĠëĮĢíķ´ìĦľ": 122115, + "ĠPhạm": 122116, + "ÑĨионной": 122117, + "|/": 122118, + "ĠãĤ¸ãĥ£": 122119, + "ÑĮÑİÑĤ": 122120, + "ÑĥзÑĭ": 122121, + "ĠÙħاد": 122122, + "ĠmÄĽly": 122123, + "ĠçĪ±": 122124, + "Ġrád": 122125, + "à¸Ħวà¸ļà¸Ħ": 122126, + "à¥Ī?": 122127, + "Ġlidi": 122128, + "mamız": 122129, + "Ġà¹ģà¸ģ": 122130, + "ãĤ¯ãĤ·ãĥ§ãĥ³": 122131, + "à¸Ńำà¸Ļวย": 122132, + "esát": 122133, + "Ġviêm": 122134, + "è¡ĮåĬ¨": 122135, + "มาà¸ģà¸ģว": 122136, + "ĠØ®ÙĪاب": 122137, + "Ġserbest": 122138, + "ÅĻÃŃz": 122139, + "ĠíĺĦëĮĢ": 122140, + "ãĢĮãģĿãģĨ": 122141, + "çĤ¸": 122142, + "omik": 122143, + "ĠÄ°ran": 122144, + "ĠeriÅŁ": 122145, + "ĠÑģела": 122146, + "ĠارزÛĮ": 122147, + "ãĥĪãĥª": 122148, + "ĠBÄĽ": 122149, + "екÑĥ": 122150, + "ЧÑĤобÑĭ": 122151, + "Ġanlamda": 122152, + "ÎijÎĺ": 122153, + "ĠLINEAR": 122154, + "æľīçĤ¹": 122155, + "ÑĤаÑĢ": 122156, + "itler": 122157, + "ĠnÃŃž": 122158, + "ĠСÑģÑĭлки": 122159, + "å¶": 122160, + "Ġвпол": 122161, + "ĠدÙĤÛĮÙĤÙĩ": 122162, + "Ġä½ĵ": 122163, + "رÙī": 122164, + "ëĶ°": 122165, + "Ġà¤ķव": 122166, + "ĠжиÑĢ": 122167, + "æijĨ": 122168, + "Ġì¤ijìĭ¬": 122169, + "ĠкÑĥб": 122170, + "Ġzlep": 122171, + "ĠÑĢÑĭб": 122172, + "é³´": 122173, + "à¹ģà¸ľà¸Ļ": 122174, + "ĠíĢ": 122175, + "ĠÐĿеÑĤ": 122176, + "žitÄĽ": 122177, + "ĠbÄĥng": 122178, + "ĠHava": 122179, + "Ġ모ëį¸": 122180, + "ĠHãy": 122181, + "ĠìĿ´ê²ĥ": 122182, + "ĠìĥģìĦ¸": 122183, + "memiÅŁ": 122184, + "ĠθÎŃÏĥη": 122185, + "णन": 122186, + "ĠskuteÄįnÄĽ": 122187, + "ĠTarihi": 122188, + "Ġtextu": 122189, + "ï¼ĮéĢĻ": 122190, + "ĠاÛĮÙĨترÙĨتÛĮ": 122191, + "Ġپاد": 122192, + "ิà¸Ļà¸ģาร": 122193, + "ĠNgá»įc": 122194, + "ĠÑĢобиÑĤи": 122195, + "íĸĪê³ł": 122196, + "Ġमण": 122197, + "ÐĽÐĺ": 122198, + "ĠпоÑĤеÑĢ": 122199, + "Ñģом": 122200, + "ĠاÙĪÙĦÛĮÙĩ": 122201, + "éĽij": 122202, + "ĠGiá": 122203, + "Ġkanal": 122204, + "Ġavantaj": 122205, + "Ġryb": 122206, + "ختÙĩ": 122207, + "ĠÙĪرÙĪد": 122208, + "ÐĴÑĤ": 122209, + "ÏīÏĥε": 122210, + "ê¸°ë¡ľ": 122211, + "ĠÐĽÑĸ": 122212, + "Ġtảng": 122213, + "ĠصÙĦÙī": 122214, + "ĠÑĥлÑĭ": 122215, + "Ġcuá»ijn": 122216, + "ĠÐIJнг": 122217, + "ĠداÙĪ": 122218, + "ĠÑĪлÑıÑħом": 122219, + "ĠÄįlovÄĽka": 122220, + "dete": 122221, + "ÑĬем": 122222, + "à¹Įà¹ĥà¸Ļ": 122223, + "à¤ķन": 122224, + "åĪ¤æĸŃ": 122225, + "ĸìĹIJ": 122226, + "ÏĦÏīÏĥη": 122227, + "ĠÙģÙĨاÙĪرÛĮ": 122228, + "ĠyaÅŁÄ±nda": 122229, + "ĠÏĥÏĩÎŃ": 122230, + "Ġyı": 122231, + "ĠpÅĻen": 122232, + "ĠÑĦоÑĢмÑĥваннÑı": 122233, + "ümÃ¼ÅŁ": 122234, + "Ġδο": 122235, + "ımızın": 122236, + "Ġé¢Ħ": 122237, + "оÑģÑĤÑĮÑİ": 122238, + "ĠоÑĤкÑĢÑĭÑĤ": 122239, + "Ġأغسطس": 122240, + "ĠAsp": 122241, + "ĠÑĥзн": 122242, + "ĠÙĪاست": 122243, + "elerle": 122244, + "èķī": 122245, + "ĠتکÙĨ": 122246, + "ÑĥмÑĥ": 122247, + "à¹Įà¸ĭ": 122248, + "ादन": 122249, + "ĠâĢĭâĢĭâĢĭ": 122250, + "Ġalıyor": 122251, + "Ġî¡": 122252, + "Ùħدة": 122253, + "ĠÏĥει": 122254, + "Ġè¿Ļ": 122255, + "ĠÅŀehir": 122256, + "енÑĤами": 122257, + "ãĤ¿ãĥ«": 122258, + "หาย": 122259, + "айÑĤ": 122260, + "Ġharc": 122261, + "ãĢĤãģĬ": 122262, + "ĠتأثÛĮر": 122263, + "าà¸Ĭà¸Ļ": 122264, + "ĠtháºŃm": 122265, + "Ġæ¿": 122266, + "ĠmÅ©i": 122267, + "ĠprvnÃŃm": 122268, + "ĠбагаÑĤÑĮ": 122269, + "ãģķãĤīãģ«": 122270, + "biên": 122271, + "åºĶå½ĵ": 122272, + "ìĿ´ë²Ħ": 122273, + "ĠpoužÃŃt": 122274, + "Ġokamž": 122275, + "esin": 122276, + "vÄĽl": 122277, + "ĠضÙĪ": 122278, + "è»Ł": 122279, + "-з": 122280, + "à¥Īत": 122281, + "è¨Īç®Ĺ": 122282, + "rabilir": 122283, + "ĠÐłÐ¾ÑģÑĸÑĹ": 122284, + "ĠplatÃŃ": 122285, + "ĠdospÄĽl": 122286, + "Ġرضا": 122287, + "Ġnového": 122288, + "ĠнаÑĨионалÑĮ": 122289, + "ĠÐIJб": 122290, + "ãģĮãģĤãģ£ãģŁ": 122291, + "Ġë¹Ī": 122292, + "âĢĮÙħ": 122293, + "å±ŀäºİ": 122294, + "Ġtane": 122295, + "ÙĬاÙĩ": 122296, + "Ġβο": 122297, + "ĠëĬ¥": 122298, + "ãĥĩãĤ£ãĥ¼ãĤ¹": 122299, + "ĠØ°Ùĥر": 122300, + "Ġobvykle": 122301, + "Ġbirinci": 122302, + "ĠاÙĦزر": 122303, + "ìĿ´ë¹Ħ": 122304, + "Ġإد": 122305, + "ĠEkon": 122306, + "ÐŁÐ¾Ð»": 122307, + "ĠвеÑĢоÑıÑĤ": 122308, + "Ġyararlan": 122309, + "ĠаÑĢом": 122310, + "ĠéĦ": 122311, + "Ġiddi": 122312, + "iÄįka": 122313, + "strukce": 122314, + "mÃ¼ÅŁtür": 122315, + "ÏħÏĦÏĮ": 122316, + "롱": 122317, + "Ġalmaktadır": 122318, + "ениÑıми": 122319, + "ียà¸Ļร": 122320, + "à¹ĩà¸Ļว": 122321, + "икÑĥ": 122322, + "енка": 122323, + "âĢĻyi": 122324, + "Ġpohod": 122325, + "Ġزر": 122326, + "Ġxấu": 122327, + "Ġà¸łà¸²à¸©": 122328, + "ÂłÐŀ": 122329, + "Ġδικ": 122330, + "Ġназива": 122331, + "åıªèĥ½": 122332, + "大éĩı": 122333, + "ĠÄijế": 122334, + "Ġ第äºĮ": 122335, + "ĠkiÅŁilerin": 122336, + "Ġdobré": 122337, + "驾": 122338, + "Ġdůležité": 122339, + "롤": 122340, + "μÎŃνοÏħ": 122341, + "Ġtrú": 122342, + "Ġbiçim": 122343, + "ĠÐĿÐIJ": 122344, + "Ġå¾Į": 122345, + "Ġduyg": 122346, + "åŀĤ": 122347, + "ÐĨÐĨ": 122348, + "Ġetmeye": 122349, + "ĠÙĦباس": 122350, + "ĠдвÑĸ": 122351, + "Ġ긴": 122352, + "ÑĨÑĸйно": 122353, + "κÏĦή": 122354, + "ï½Ŀ": 122355, + "ĠÑĦевÑĢалÑı": 122356, + "寫": 122357, + "Ġ겨": 122358, + "Ġyıllarda": 122359, + "ĠзÑĥп": 122360, + "ĠobchodnÃŃ": 122361, + "ĠاضاÙģÙĩ": 122362, + "веÑĢж": 122363, + "Ġæłĩ": 122364, + "جاج": 122365, + "ĠرÙĪسÛĮ": 122366, + "Ġstandart": 122367, + "éru": 122368, + ")ìĿĦ": 122369, + "декÑģ": 122370, + "ĠâĪļ": 122371, + "ĠÄ°ngilizce": 122372, + "èĬĿ": 122373, + "身ä¸Ĭ": 122374, + "ØŁØŁ": 122375, + "Ġmẽ": 122376, + "ÎijÎĶ": 122377, + "енÑģив": 122378, + "âĢĻta": 122379, + "à¹īาà¸ģ": 122380, + "ÎŁÎĽÎŁÎĵ": 122381, + "ä»ĺãģij": 122382, + "ĠsÃłng": 122383, + "Ġà¤¹à¤Ł": 122384, + "ÑĭÑĪлен": 122385, + "Ġخطر": 122386, + "ĠнайÑĤи": 122387, + "çĽ¸ä¿¡": 122388, + "Ïīδ": 122389, + "à¤Ķ": 122390, + "Ġdopad": 122391, + "à¹Ħà¸Łà¸¥": 122392, + "æģµ": 122393, + "íĤ¬": 122394, + "Ä±ÅŁma": 122395, + "ãģıãĤĮãģŁ": 122396, + "Ġnaprost": 122397, + "ĠÑģоÑģÑĤаве": 122398, + "ĠÙĪسط": 122399, + "à¹ķ": 122400, + "éĸĭçĻº": 122401, + "ĠдеÑĢева": 122402, + "-ÐĶ": 122403, + "à¸ĩà¸Ĭ": 122404, + "ิà¸ķย": 122405, + "ĠاÙĦÙĤاÙĨÙĪÙĨ": 122406, + "ãĤ¹ãĤ«": 122407, + "lÃŃž": 122408, + "Ġанализ": 122409, + "Ġproblémy": 122410, + "æĸĩåѦ": 122411, + "çĹħéĻ¢": 122412, + "Ñģед": 122413, + "ï¼Įå°ı": 122414, + "ĠعشÙĤ": 122415, + "ãģ°ãģĭãĤĬ": 122416, + "ĠعÙĤد": 122417, + "ØŃÙĬØ©": 122418, + "Ġë°ĶëŀįëĭĪëĭ¤": 122419, + "inclu": 122420, + "Ġëĵľë¦½ëĭĪëĭ¤": 122421, + "åį«çĶŁ": 122422, + "ĠвидÑĥ": 122423, + "ุà¸ļาล": 122424, + "ÑĢÑĥкÑĤ": 122425, + "ĠоÑģвÑĸÑĤ": 122426, + "Ġvelký": 122427, + "ĠchtÄĽl": 122428, + "æīĵå¼Ģ": 122429, + "ĠзаконодаÑĤелÑĮ": 122430, + "анÑģи": 122431, + "ì¶ĺ": 122432, + "ĠÙħراج": 122433, + "åģľæŃ¢": 122434, + "Ġвоно": 122435, + "ìłķìĿ´": 122436, + "Ġrozsah": 122437, + "ĠæĻ´": 122438, + "Ġzajist": 122439, + "ÂłÐ¼": 122440, + "tıģını": 122441, + "Ġhizmeti": 122442, + ".Îij": 122443, + "ĠÙħعÙħÙĪÙĦا": 122444, + "Ġži": 122445, + "Ġgá»įn": 122446, + "èĮĤ": 122447, + "Ġhuz": 122448, + "ζει": 122449, + "à¥īà¤Ł": 122450, + "Ġиздел": 122451, + "ìŀĸ": 122452, + "ĠëĶ°ë¥¸": 122453, + "Ġkia": 122454, + "ĠznÄĽnÃŃ": 122455, + "ĠоÑĢганиза": 122456, + "ازات": 122457, + "Ġrežim": 122458, + "ĠвенÑĤи": 122459, + "bách": 122460, + "ĠодномÑĥ": 122461, + "Ġkitab": 122462, + "Ġfrancouz": 122463, + "ĠØ£ÙĦ": 122464, + "ĠسرÙĪ": 122465, + "ÙijÙĦ": 122466, + "Ġман": 122467, + "ë°į": 122468, + "ĠкÑĥда": 122469, + "Ùıس": 122470, + "ãĢĤæѤ": 122471, + "اشة": 122472, + "à¸Ĥà¸Ńà¸ĩà¸ľ": 122473, + "主任": 122474, + "ивÑĪи": 122475, + "Ġà¸ģรà¸ģ": 122476, + "екÑģи": 122477, + "иÑĤеÑĤ": 122478, + "ĠØ£ÙĦÙģ": 122479, + "аними": 122480, + "ãĥļãĥ¼ãĤ¸": 122481, + "ĠпÑĢавил": 122482, + "åªĴä½ĵ": 122483, + "ÑİÑīее": 122484, + "ä¸Ģ人": 122485, + "βο": 122486, + "ìĭ¸": 122487, + "озна": 122488, + "å¤īæĽ´": 122489, + "ĠÙħØ´Ùĩد": 122490, + "æ³ķ人": 122491, + "ĠBakanı": 122492, + "ĠÑħоÑĩа": 122493, + "Ġαξ": 122494, + "Ġverilm": 122495, + "Ġkonus": 122496, + "μενη": 122497, + "Ġ馬": 122498, + "Ġìĭ¤ìłľ": 122499, + "Ġjedno": 122500, + "Ġбаб": 122501, + "åĥį": 122502, + "æĺ¯ä¸Ģ个": 122503, + "-е": 122504, + "ĠpÅĻekvap": 122505, + "à¸Ńà¸ŀ": 122506, + "ĠYol": 122507, + "ĠÑĥÑģÑĤанавлива": 122508, + "ê²¼": 122509, + "Ġ件": 122510, + "اÙĦØ´": 122511, + "ĠобÑĥÑĩ": 122512, + "åĺĽ": 122513, + "ĠÑħоÑĩÑĥ": 122514, + "ĠÐķв": 122515, + "ÑĦоÑĢÑĤ": 122516, + "Ġरन": 122517, + "âĢŀV": 122518, + "èľľ": 122519, + "Ġdoma": 122520, + "æĶ¯æı´": 122521, + "Ġاخت": 122522, + "循": 122523, + "à¥Ĥà¤ļन": 122524, + "ाहन": 122525, + "Ġå¤ı": 122526, + "ĠاÙĦØ£Ùħر": 122527, + "ĠбеÑĢеменноÑģÑĤи": 122528, + "ĠThá»±c": 122529, + "é£İéĻ©": 122530, + "Ġülkemiz": 122531, + "çķªåı·": 122532, + "ÑģÑĤÑĢе": 122533, + "ÑĪло": 122534, + "ĠصاØŃب": 122535, + "ινε": 122536, + "ĠKıs": 122537, + "ĠPrahy": 122538, + "湿": 122539, + "Ġvým": 122540, + "çĽĴ": 122541, + "ÎŁÎĶ": 122542, + "ãģłãģª": 122543, + "ĠpÅĻÃŃležit": 122544, + "Ġìĸ¸ìłľ": 122545, + "ĠÑĪвидко": 122546, + "Ġsituaci": 122547, + "åħĥç´ł": 122548, + "Ä°TESÄ°": 122549, + "ĠVak": 122550, + "Ġneredeyse": 122551, + "iiii": 122552, + "ÑĢазд": 122553, + "ĠполиÑĤ": 122554, + "Ġпогод": 122555, + "ĠпÑĢоÑĨеÑģÑģе": 122556, + "ĠменÑĪе": 122557, + "äºĮ人": 122558, + "ĠÙħÙĪاط": 122559, + "ĠpÅĻik": 122560, + "è·¡": 122561, + "Ġserg": 122562, + "ĠÑĢаÑģÑģÑĤоÑı": 122563, + "иÑĩно": 122564, + "ĠÎĶÎĹÎľ": 122565, + "¨ط": 122566, + "صبØŃ": 122567, + "สะà¸Ķวà¸ģ": 122568, + "درÛĮ": 122569, + "kům": 122570, + "ç§ģãģ¯": 122571, + "Ġtvor": 122572, + "à¥įवव": 122573, + "ĠpÅĻiv": 122574, + "Ġíı´": 122575, + "Ġstátu": 122576, + "ĠedilmiÅŁtir": 122577, + "ØŃÙħ": 122578, + "ĠбÑĥÑħ": 122579, + "สำà¹Ģร": 122580, + "ĠتÙĪضÛĮ": 122581, + "ãģĿãĤĮãģ¯": 122582, + "Ġà¤ħवध": 122583, + "éŀĭ": 122584, + "âĤ¬Ċ": 122585, + "Ġéº": 122586, + "ĠÄĮes": 122587, + "Ġpoprvé": 122588, + "ï¼ĮåĽł": 122589, + "ĠalmÄ±ÅŁ": 122590, + "lal": 122591, + "ĠØ®ÙĪبÛĮ": 122592, + "ĠκοÏģ": 122593, + "ìļ´ëıĻ": 122594, + "mayın": 122595, + "Ġaktif": 122596, + "ĠاÙĨجÙħÙĨ": 122597, + "ĠÑģÑĤак": 122598, + "ĠÑģÑĤаÑĢа": 122599, + "ÙĦÙģØ©": 122600, + "Ġparçası": 122601, + "ĠкоÑĢпÑĥÑģ": 122602, + "ãĢģé«ĺ": 122603, + "!..": 122604, + "ĠÎłÎijÎĿ": 122605, + "ĠÙĩÙĨÙĪز": 122606, + "ionálnÃŃ": 122607, + "ĠprávnÃŃ": 122608, + "ÂĿ": 122609, + "ĠتÛĮر": 122610, + "ĠåŁİ": 122611, + "Ġзгад": 122612, + "Ġsaldırı": 122613, + "æŁ¥çľĭæijĺè¦ģ": 122614, + "髪": 122615, + "ÙģصÙĦ": 122616, + "ãģĻãģ¹ãģ¦": 122617, + "ево": 122618, + "ê´Ģ리ìŀIJ": 122619, + "ĠìĺĨ": 122620, + "udicots": 122621, + "ÙĪرÙĨ": 122622, + "Ġcelkem": 122623, + "ãĤ¤ãĤº": 122624, + "ìĬ¤ê°Ģ": 122625, + "販売": 122626, + "ĠíĮĮìĿ¼ì²¨ë¶Ģ": 122627, + "뢰": 122628, + "Ġenergie": 122629, + "esidir": 122630, + "Ġmiá»ĩng": 122631, + "éĻ·": 122632, + "ĠгаÑĢа": 122633, + "Ġbiliyor": 122634, + "çį²å¾Ĺ": 122635, + "еÑĤеÑĢб": 122636, + "à¹Īาà¹Ģà¸Ľ": 122637, + "Ġμαζί": 122638, + "ĠzpracovánÃŃ": 122639, + "Ñģм": 122640, + "Ġhala": 122641, + "ĠزÙĪج": 122642, + "ĠвÑĸднов": 122643, + "à¹Ģหมาะ": 122644, + "ĠÐłÐµÑģпÑĥбли": 122645, + "åĩºåĵģèĢħ": 122646, + "Ñīини": 122647, + "ัà¸Ļà¹Ģà¸Ľ": 122648, + "Ġtýden": 122649, + "ĠبÙĬت": 122650, + "ÑģкомÑĥ": 122651, + "ĠÙĩÙĪاپÛĮÙħ": 122652, + "оÑģнов": 122653, + "鸣": 122654, + "Ġsoukrom": 122655, + "Ġfaiz": 122656, + "Ġdemok": 122657, + "Ġkterém": 122658, + "Ġëħ¹": 122659, + "лаÑĩ": 122660, + "ĠоÑĤвеÑĤÑģÑĤвен": 122661, + "Ġï¼¼:": 122662, + "Ġλο": 122663, + "ÄĮesk": 122664, + "ê°ĢìļĶ": 122665, + "ĠãĥĬ": 122666, + "ĠnhuáºŃn": 122667, + "ĠÑģили": 122668, + "ĠÐľÐ¾Ð½": 122669, + "Ġçap": 122670, + "ĠRowBox": 122671, + "ĠмаÑģÑĤ": 122672, + "ĠÐľÐ°": 122673, + "ĠдÑĢÑĥго": 122674, + "Ġأش": 122675, + "ë°©ìĨ¡": 122676, + "ĠпÑĸдпиÑģ": 122677, + "èĩ¨": 122678, + "åī©": 122679, + "Ġhiá»ĥn": 122680, + "ĠÙĤرارد": 122681, + "istrat": 122682, + "ÐŁÑĸд": 122683, + "ÏĦεÏģα": 122684, + "ĠpozdÄĽ": 122685, + "ĠbaÅŁta": 122686, + "夫人": 122687, + "лини": 122688, + "ĠкаÑĩеÑģÑĤва": 122689, + "Ġkurtul": 122690, + "Ġì¢Į": 122691, + "ãģ«ãģĬãģijãĤĭ": 122692, + "åľ°åįĢ": 122693, + "ĠÑĩаÑģом": 122694, + "ìµľê³ł": 122695, + "Ġngang": 122696, + "اÙĩد": 122697, + "ĠШев": 122698, + "ĠpÅĻitom": 122699, + "Ġchấm": 122700, + "ĠÐľÐµÑģÑĤо": 122701, + "ĠÑģовеÑĢÑĪенно": 122702, + "ÃŃcÃŃ": 122703, + "Ńå·ŀ": 122704, + "åĪĽæĸ°": 122705, + "äºĶæľĪ": 122706, + "ĠاعÙħاÙĦ": 122707, + "ĠвозможноÑģÑĤи": 122708, + "ĠпÑĢодовж": 122709, + "nÄĽt": 122710, + "ĠÐĿапÑĢимеÑĢ": 122711, + "ĠاÙĦدÙħ": 122712, + "Ġà¹ģà¸ļà¸ļ": 122713, + "çĶŁçļĦ": 122714, + "ĠÑħаÑĢÑĩ": 122715, + "ĠSonuç": 122716, + "Ġrůzné": 122717, + "Ġاذ": 122718, + "à¸ķà¸Ńà¸ļ": 122719, + "PÅĻed": 122720, + "ĠдеÑĢевÑıн": 122721, + "ë´IJ": 122722, + "ĠëĬIJëĤ": 122723, + "جÙħÙĬع": 122724, + "ĠBöylece": 122725, + "èµı": 122726, + "ĠبسÙĬ": 122727, + "ĠÃĩaÄŁ": 122728, + "ĠتاÛĮ": 122729, + "ĠnejvyÅ¡Å¡ÃŃ": 122730, + "èĸ©": 122731, + "ÏĩεδÏĮν": 122732, + "Ġëĵ±ìĿĺ": 122733, + "eyh": 122734, + "æĸĻçIJĨ": 122735, + "اتÙĩ": 122736, + "æī«": 122737, + "Ġå©": 122738, + "ĠпÑĢивед": 122739, + "æī¶": 122740, + "Ġ견": 122741, + "ĠاÙħÛĮر": 122742, + "ायल": 122743, + "æ¡ij": 122744, + "à¸Ļà¹Ģà¸ķ": 122745, + "илакÑĤи": 122746, + "家ä¼Ļ": 122747, + "Ġbulunuyor": 122748, + "ysa": 122749, + "ÂĨ": 122750, + "ĠBÄ°R": 122751, + "íĨ¤": 122752, + "à¤Ĥà¤Ĺà¤łà¤¨": 122753, + "ÎĶεν": 122754, + "à¥Įà¤ķर": 122755, + "éĸĵãģ«": 122756, + "Ġмоб": 122757, + "ĠMorav": 122758, + "è§ĦåĪĴ": 122759, + "ĠÑģвÑĸÑĤÑĸ": 122760, + "ults": 122761, + "ĠzemÃŃ": 122762, + "ÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł": 122763, + "ĠÐŁÐ¾Ð¿": 122764, + "ãģĤãģĴ": 122765, + "Ġpomoci": 122766, + "ĠзмÑĸÑģÑĤ": 122767, + "主人": 122768, + "ĠSı": 122769, + "ãĥĽãĥĨãĥ«": 122770, + "ĠÑĥвагÑĥ": 122771, + "廳": 122772, + "à¹Ģมà¸ķร": 122773, + "estli": 122774, + "Ġloạt": 122775, + "ãĤ¢ãĥ¼": 122776, + "ĠÎĶε": 122777, + "Ġbunları": 122778, + "ĠçĤ¹åĩ»": 122779, + "ĠBÃłi": 122780, + "Ġä¸ĸ": 122781, + "Ġê³łê°ľë¥¼": 122782, + "ĠÐŃÑĤоÑĤ": 122783, + "Ġmemnun": 122784, + "Ġ।Ċ": 122785, + "ĠиÑģÑĤоÑĢии": 122786, + "Ġì°©": 122787, + "१९": 122788, + "ĠÐŀднак": 122789, + "Ġvede": 122790, + "ÏĨÎŃÏģει": 122791, + "âb": 122792, + "çĬ¶åĨµ": 122793, + "åįıè®®": 122794, + "Ġê°Ŀ": 122795, + "евид": 122796, + "jmu": 122797, + "ĠколиÑĩеÑģÑĤва": 122798, + "ÃĽ": 122799, + "iÄįe": 122800, + "Ġfirmalar": 122801, + "èĢĢ": 122802, + "кÑĸн": 122803, + "ĠêµŃ민": 122804, + "Ġ목ë¡Ŀ": 122805, + "ĠÎļαÏģ": 122806, + "Ġhissed": 122807, + "Ｋ": 122808, + "ĠTên": 122809, + "ĠÑĤÑĭÑģÑıÑĩ": 122810, + "ØŃÙĬØŃ": 122811, + "Ġвполне": 122812, + "ĠSınıf": 122813, + "Ġμην": 122814, + "Ġíij¸": 122815, + "ĠاÙĦطبÙĬ": 122816, + "ĠزÛĮب": 122817, + "ĠпÑĥ": 122818, + "Ġpraž": 122819, + "ìĹĨëĬĶ": 122820, + "θÏģÏī": 122821, + "Ġiçi": 122822, + "ĠбÑĸл": 122823, + "ÐłÑij": 122824, + "Ġì¶ķ구": 122825, + "Ġlạ": 122826, + "ĠãĥķãĤ¡": 122827, + "Ġèĸ": 122828, + "μαÏĦο": 122829, + "éĩijå±ŀ": 122830, + "áli": 122831, + "ĠÙģØ£": 122832, + "ĠKarlov": 122833, + "ĠZáp": 122834, + "ãĥªãĥ³ãĤ°": 122835, + "abilmek": 122836, + "ĠСи": 122837, + "ĠcÃŃrk": 122838, + "Ġká»ĭp": 122839, + "Ġà¤ijनल": 122840, + "ĠÙĪØŃدة": 122841, + "ãĥĭãĥĥãĤ¯": 122842, + "ĠnÆ°á»Ľng": 122843, + "ĠакÑĤÑĥ": 122844, + "å¸ĿåĽ½": 122845, + "Ġnázev": 122846, + "ĠÑĢемонÑĤ": 122847, + "ĠÑĢинкÑĥ": 122848, + "ĠÏĢάνÏī": 122849, + "ÏĦικο": 122850, + "ĠìĤ¼ìĦ±": 122851, + "ĠÑģимпÑĤомÑĭ": 122852, + "ĠÑĢанÑĸÑĪе": 122853, + "ĠJá": 122854, + "ĠÑģÑĩиÑĤаеÑĤÑģÑı": 122855, + "ĠпоÑĢÑĸв": 122856, + "ĠÐľÐ°Ð»": 122857, + "éĿ¢ç§¯": 122858, + "ĠÙĦغ": 122859, + "ĠجشÙĨ": 122860, + "Ġнедели": 122861, + "Ġì¦Ŀê°Ģ": 122862, + "ãĨįëıĻ": 122863, + "Ġlượt": 122864, + "ĠÄIJá»ĭnh": 122865, + "Ġà¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļ": 122866, + "Ġyaparak": 122867, + "ĠÄijai": 122868, + "ĠоÑĦиÑĨи": 122869, + "ĠεμÏĢ": 122870, + "ξειÏĤ": 122871, + "ĠконÑĦеÑĢен": 122872, + "Ġarası": 122873, + "à¸ķา": 122874, + "Ġë´IJ": 122875, + "ована": 122876, + "ì§Ģê°Ģ": 122877, + "ĠVám": 122878, + "à¤¿à¤ľà¤¨": 122879, + "Ġç¼ĸè¾ij": 122880, + "ζÏĮ": 122881, + "ĠÏĦÏģÏĮ": 122882, + "Ġücretsiz": 122883, + "ĠکاÙħÙĦا": 122884, + ":::/": 122885, + "à¹ĮĊĊ": 122886, + "Ġéĸ¢éĢ£": 122887, + "Ġkara": 122888, + "Ġбезпеки": 122889, + "ĠzmÄĽny": 122890, + "Ġê¿Ī": 122891, + "vrd": 122892, + "liÄŁine": 122893, + "ĠاÙĨتخابات": 122894, + "ĠдоÑģвÑĸд": 122895, + "Ġkterého": 122896, + "енÑĤом": 122897, + "ê³µë¶Ģ": 122898, + "ìłĿ": 122899, + "Ġë§Į족": 122900, + "Ġæij": 122901, + "åĩºåı£": 122902, + "建议": 122903, + "оÑĤÑı": 122904, + "ĠÒij": 122905, + "íĶĦë¡ľ": 122906, + "Ġgió": 122907, + "ãĤ·ãĤ§": 122908, + "ĠλεÏĢ": 122909, + "íķĺ볤": 122910, + "Ġyoksa": 122911, + "Ġistih": 122912, + "Ｖ": 122913, + "ĠاÙĦعÙħ": 122914, + "Ġکارگرد": 122915, + "à¹Ģà¸ŀราะ": 122916, + "Ġnových": 122917, + "ĠÑģна": 122918, + "Ġsana": 122919, + "वत": 122920, + "Ä±ÅŁman": 122921, + "åı¦å¤ĸ": 122922, + "ì¶ľìŀ¥ìĥµ": 122923, + "婦": 122924, + "ĠкоÑĪÑĤÑĸв": 122925, + "ĠÙĪاÙĦÙĨ": 122926, + "ĠباÙĦØ¥": 122927, + "ĠæĬĢ": 122928, + "Ġмноже": 122929, + "à¥Ĥड": 122930, + "ĠCục": 122931, + "Ġevet": 122932, + "èģĶåIJĪ": 122933, + "Ġ³³Ġ³³Ġ³³Ġ³³": 122934, + "çļĦå¿ĥ": 122935, + "Ġdáng": 122936, + "اÛĮسÙĩ": 122937, + "Ġerken": 122938, + "泡": 122939, + "ائب": 122940, + "Ġyapıldı": 122941, + "ĠQuản": 122942, + "æĹ¶ä»£": 122943, + "ìĽ¨ìĸ´": 122944, + "ĠгÑĸÑĢ": 122945, + "okoj": 122946, + "Ùĥرة": 122947, + "Ñİк": 122948, + "Ġvýj": 122949, + "Ġhodiny": 122950, + "ĠелекÑĤÑĢон": 122951, + "mıyor": 122952, + "ĠìŀĪëĭ¤ëĬĶ": 122953, + "à¹īà¹ī": 122954, + "иÑĤелÑĮное": 122955, + "Ġyıllar": 122956, + "Äıte": 122957, + "ĠÄįinnost": 122958, + "ุà¸ĵà¸łà¸²à¸ŀ": 122959, + "íĵ¨": 122960, + "нг": 122961, + "ูรà¸ĵ": 122962, + "ĠпоÑĢÑıдке": 122963, + "Ġëĭ¹ìĭľ": 122964, + "ĠÐľÐ¾Ñģков": 122965, + "Ġkred": 122966, + "urum": 122967, + "ĠÑĤÑı": 122968, + "Ú©ÙĨاÙĨ": 122969, + "дии": 122970, + "ÑĢимÑĸн": 122971, + "ĠоÑĢганизм": 122972, + "ĠéĽĨ": 122973, + "ιÏĥÏĦο": 122974, + "ä¿¡çĶ¨": 122975, + "åįģåĽĽ": 122976, + "à¹Īà¹ĥà¸Ĭ": 122977, + "ĠÑĥвид": 122978, + "ัà¸ĩà¸ģล": 122979, + "åı¦ä¸Ģ": 122980, + "ãĥ«ãĥķ": 122981, + "ัà¸ļà¸Ľà¸£": 122982, + "ĠÃľst": 122983, + "説æĺİ": 122984, + "вай": 122985, + "аÑĩе": 122986, + "欣": 122987, + "Ġkatıl": 122988, + "ĠCem": 122989, + "ĠاÙĦجÙĩ": 122990, + "ĠгÑĢÑĥз": 122991, + "ĠзаÑģÑĤав": 122992, + "cılar": 122993, + "ĠÑħоÑĤел": 122994, + "ĠsnÃŃm": 122995, + "ï¼Į被": 122996, + "ĠвиÑī": 122997, + "Ġdemokrat": 122998, + "à¥ĩà¤Łà¤°": 122999, + "åij¨å¹´": 123000, + "Ġodpad": 123001, + "ĠdaÅĪ": 123002, + "Ġ代": 123003, + "à¹ĩà¸Ļà¸Ń": 123004, + "ĠÑģколÑĮко": 123005, + "ĠαÏĨ": 123006, + "ĠpÅĻesvÄĽd": 123007, + "Ġåĵģ": 123008, + "ĠинÑĦоÑĢмаÑĨии": 123009, + "çĽĹ": 123010, + "ãģ¾ãģ¨": 123011, + "ĠÑģамов": 123012, + "Ġpocit": 123013, + "Ġíݸì§ij": 123014, + "ĠÑģмеÑģÑĮ": 123015, + "ĠpojiÅ¡tÄĽnÃŃ": 123016, + "ãģ®ãĤĤ": 123017, + "à¹Īาà¸ģาร": 123018, + "ĠÛĮÙĪÙĨ": 123019, + "Ġ기ìĸµ": 123020, + "ickými": 123021, + "alace": 123022, + "éĽ»å½±": 123023, + "ÑİваннÑı": 123024, + "缸åIJĮ": 123025, + "ĠãĢĥ": 123026, + "ĠдокÑĥменÑĤÑĸв": 123027, + "ï¼¹": 123028, + "åĪ°åºķ": 123029, + "óz": 123030, + "ĠAhmet": 123031, + "ĠÙħساØŃت": 123032, + "Ġhlavou": 123033, + "ülebilir": 123034, + "ãĢĤä½ł": 123035, + "à¹ĩà¸ģà¸Ĭาย": 123036, + "¤¤": 123037, + "ĠæĦı": 123038, + "ĠcháºŃm": 123039, + ".д": 123040, + "Ġcca": 123041, + "Ġolumsuz": 123042, + "Âŀ": 123043, + "çĬ¬": 123044, + "ĠпоÑģÑĤоÑıнно": 123045, + "Ġ.**************Ċ": 123046, + "Ġاستر": 123047, + "ĠдалÑĮней": 123048, + "ůr": 123049, + "ä¿ĿèŃ·": 123050, + "боÑĢаÑĤоÑĢ": 123051, + "÷": 123052, + "ÏĥÏĦαν": 123053, + "ĠÙģÙĬÙĦÙħ": 123054, + "çek": 123055, + "ìŀIJ기": 123056, + "Ġæ¥Ń": 123057, + "нÑĸп": 123058, + "èīĩ": 123059, + "Ġmoci": 123060, + "ìľµ": 123061, + "리그": 123062, + "ĠÐļо": 123063, + "éĤ£éĩĮ": 123064, + "ĠСÑĤаÑĢ": 123065, + "ĠتÙĪاÙĨÛĮد": 123066, + "Ġnguyá»ĩn": 123067, + "Ġสามารà¸ĸ": 123068, + "ÑĸÑĩна": 123069, + "Ġ被": 123070, + "ุà¸ķสาหà¸ģรรม": 123071, + "Ġعصر": 123072, + "ĠÃľNÄ°VERS": 123073, + "Ġtehdy": 123074, + "ĠÙĪصÙĦات": 123075, + "ä¿Ŀè¯ģ": 123076, + "ĠEudicots": 123077, + "ĠÎłÎŃ": 123078, + "建è¨Ń": 123079, + "ĠìłĦêµŃ": 123080, + "ĠØŃÛĮ": 123081, + "ãĤ¤ãĥĦ": 123082, + "ĠØŃاصÙĦ": 123083, + "ĠجÙĨÙĪبÛĮ": 123084, + "ãĢģæĹ¥æľ¬": 123085, + "ÃĻ": 123086, + "Ġà¸Ĺาà¸ĩ": 123087, + "ĠÙĨØŃÙĪ": 123088, + "اÙĩÙĬÙħ": 123089, + "å¾Įãģ«": 123090, + "à¸Īะà¹Ħà¸Ķ": 123091, + "åĩłä¸ª": 123092, + "à¥ģà¤ģ": 123093, + "ëĮĢìĿĺ": 123094, + "ĠlÃłn": 123095, + "ìĽĶë¶ĢíĦ°": 123096, + "Æł": 123097, + "Ġеди": 123098, + "Ġspis": 123099, + "æľīä»Ģä¹Ī": 123100, + "Ġnebyla": 123101, + "Ġíķ´ìĻ¸": 123102, + "ë¡ľë¶ĢíĦ°": 123103, + "аÑĢÑħ": 123104, + "lili": 123105, + "Ġíķĺ루": 123106, + "maması": 123107, + "ÑĩаеÑĤ": 123108, + "ĠØŃاÙĦØ©": 123109, + "ĠBölüm": 123110, + "缸éĹľ": 123111, + "ĠдÑĢÑĥгими": 123112, + "çĽ£çĿ£": 123113, + "à¥Īà¤ľ": 123114, + "ĠعبداÙĦÙĦÙĩ": 123115, + "Ġè¿ŀ": 123116, + "ĠÐľÐ¸Ð½": 123117, + "Ġ기ëĭ¤": 123118, + "Ġ공격": 123119, + "è¡Įåĭķ": 123120, + "ामà¤ķ": 123121, + "æ±Ĥè´Ń": 123122, + "模åŀĭ": 123123, + "ÑģоÑĢ": 123124, + "rane": 123125, + "à¹ĩà¸Īà¸ŀระ": 123126, + "ĠÙħسÛĮر": 123127, + "è£ħç½®": 123128, + "ìķ¤": 123129, + "nÄĽjÅ¡ÃŃch": 123130, + "αλÏįÏĦε": 123131, + "ĠHakk": 123132, + "访éĹ®": 123133, + "ĠÑĤеÑĩ": 123134, + "ĠLá»ĭch": 123135, + "ĠدشÙħÙĨ": 123136, + "ÎĮ": 123137, + "ĠÏĢε": 123138, + "Ġзамов": 123139, + "Ġbirim": 123140, + "ãĤ·ãĤ¹ãĥĨãĥł": 123141, + "ĠÏĢÏģοÏĬ": 123142, + "ĬìĿĢ": 123143, + "виг": 123144, + "ĠëıħìĿ¼": 123145, + "ĠÑĢеволÑİ": 123146, + "Ġé¦Ļ港": 123147, + "Ġlez": 123148, + "ĠبÛĮÙħار": 123149, + "Ġduygu": 123150, + "Ġ뼰": 123151, + "Ġamacı": 123152, + "à¥įयप": 123153, + "ĠìŀIJìĦ¸": 123154, + "اÙĪÛĮر": 123155, + "Ġspole": 123156, + "ÃĸL": 123157, + "Ġجع": 123158, + "ÙĦÛĮÙħ": 123159, + "ãģªãģ©ãģ®": 123160, + "à¸Ľà¸£à¸°à¸ªà¸ļ": 123161, + "ĠnaÅ¡ich": 123162, + "ĠпÑĢедÑģÑĤавлÑıеÑĤ": 123163, + "Ġздоб": 123164, + "Ġobou": 123165, + "Ø®ÙĪاÙĨ": 123166, + "ãĥ¬ãĥĥãĥĪ": 123167, + "одейÑģÑĤв": 123168, + "کرÛĮ": 123169, + "ĠاتاÙĤ": 123170, + "ĠÑįкÑģплÑĥаÑĤа": 123171, + "ï½¢": 123172, + "ĠÙĦÙĦØ¥": 123173, + "ĠاÙĦÙĨظاÙħ": 123174, + "ĠíĶĦëŀijìĬ¤": 123175, + "ısıt": 123176, + "åŃĻ": 123177, + "Ġžádný": 123178, + "ÙĤÙī": 123179, + "ัà¸ģà¹Ģร": 123180, + "Ġë²łìĬ¤íĬ¸": 123181, + "Ġãĥ«": 123182, + "åıĶ": 123183, + "nické": 123184, + "ĠειÏĥ": 123185, + "ãĥ«ãĥī": 123186, + "ĠدارÙħ": 123187, + "Ġгем": 123188, + "ĠåѸ": 123189, + "ानसà¤Ń": 123190, + "ализи": 123191, + "ованÑĸ": 123192, + "Ġобо": 123193, + "ìłĦìĹIJ": 123194, + "ĠSinh": 123195, + "ĠÙĨع": 123196, + "ĠоблаÑģ": 123197, + "ÏħÏĢ": 123198, + "èĥ¶": 123199, + "Ġazalt": 123200, + "åħ¨éĿ¢": 123201, + "ĠKromÄĽ": 123202, + "ĠCz": 123203, + "æĬ¥åIJį": 123204, + "ĠnásledujÃŃcÃŃ": 123205, + "ĠнапÑĢиклад": 123206, + "ãģªãģijãĤĮãģ°": 123207, + "à¸Ńาย": 123208, + "çľĭçľĭ": 123209, + "Ġà¸ģรà¸ģà¸İ": 123210, + "ednou": 123211, + "ازÙĦ": 123212, + "ãĢģæľ¬": 123213, + "еÑģи": 123214, + "Ġtarz": 123215, + "ãĢĢï¾Ĭ": 123216, + "Ġrozum": 123217, + "ãĤ«ãĥ¼ãĥī": 123218, + "Ġà¤ĩà¤ķ": 123219, + "ĠprostÄĽ": 123220, + "ĠÎĵκ": 123221, + "ç©´": 123222, + "ĠHük": 123223, + "lavÃŃ": 123224, + "ê¿": 123225, + "鸡": 123226, + "ĠвозникаеÑĤ": 123227, + "ÑŁÑŁÑŁ": 123228, + "Ġпонима": 123229, + "ÐŁÐŀ": 123230, + "ãģĶãģĸãģĦãģ¾ãģĻ": 123231, + "ãģħ": 123232, + "Ġtrval": 123233, + "Ġдалеко": 123234, + "ĠÙĨÙĬز": 123235, + "ĠвÑĭÑıв": 123236, + "ิà¸Ĺยา": 123237, + "Ġlá»Ĺ": 123238, + "à¹Ģสà¸Ļ": 123239, + "ĠÑģÑĤенÑĭ": 123240, + "à¥įडल": 123241, + "Ġjednotlivých": 123242, + "ĠпÑĢиблиз": 123243, + "ikat": 123244, + "Ġподав": 123245, + "رÛĮز": 123246, + "ĠØ¢ÙĨجا": 123247, + "社æľĥ": 123248, + "Ġà¤ľà¤¨à¤µà¤°": 123249, + "Ġaile": 123250, + "à¸µà¸Ľ": 123251, + "Ġèħ": 123252, + "ãģ§ãģĹãĤĩãģĨ": 123253, + "СÐŀ": 123254, + "ãĢģãĢĬ": 123255, + "ìĿ¼ë³¸": 123256, + "ovanou": 123257, + "νÏĮ": 123258, + "å±¥": 123259, + "عÙĦÙĤ": 123260, + "Ġìī½": 123261, + "Ġглиб": 123262, + "Ġê²ĥìŀħëĭĪëĭ¤": 123263, + "ĠнеобÑħодимоÑģÑĤи": 123264, + "ĠتخصصÛĮ": 123265, + "اسر": 123266, + "ï¼Į说": 123267, + "ĠÐĿÑĸ": 123268, + "Ġvyrob": 123269, + "ÑĪÑĥÑİ": 123270, + "æĪ¿å±ĭ": 123271, + "ÂłÐĹ": 123272, + "à¹Ģà¸ŀล": 123273, + "åĨħéĥ¨": 123274, + "ĠدÙĦار": 123275, + "ĠпÑĤи": 123276, + "Å¡ti": 123277, + "ĠaraÅŁtırma": 123278, + "Ġзнаком": 123279, + "Ġελλην": 123280, + "Ġấm": 123281, + "ÑĢак": 123282, + "ãĤŃãĥ¥": 123283, + "ĠtháºŃn": 123284, + "èŃľ": 123285, + "ëªħìĿĺ": 123286, + "Ġyeter": 123287, + "ĠнаÑģлед": 123288, + "ĠÐļан": 123289, + "ĠвÑĭбиÑĢа": 123290, + "ĠΣÏĩ": 123291, + "ĠÑĤеÑĢмÑĸн": 123292, + "Ġæ´»": 123293, + "ĠاÙĦتÙģ": 123294, + "ĠJapon": 123295, + "éĤª": 123296, + "ë¶ĦìĦĿ": 123297, + "ĠлиÑĨо": 123298, + "Ġmê": 123299, + "à¸Ħวร": 123300, + "Ġà¤ħà¤Ĺल": 123301, + "ĠÙĩج": 123302, + "룬ìļ´": 123303, + "ĠвойнÑĭ": 123304, + "اÙĪرزÛĮ": 123305, + "ĠÑģпÑĢÑı": 123306, + "çĦ¼": 123307, + "è¢ĸ": 123308, + "Ġiçeren": 123309, + "Ġëħ¸ëŀĺ": 123310, + "ĠЧеÑĢез": 123311, + "ÙĪجÙĪد": 123312, + "ÑıÑĤие": 123313, + "à¸Ńลลาร": 123314, + "è·¨": 123315, + "ĠMilli": 123316, + "件äºĭ": 123317, + "ĠæľĿ": 123318, + "βολή": 123319, + "Ġков": 123320, + "ĠØ´ÙĩÛĮد": 123321, + "ä¸ĭåİ»": 123322, + "Ġìłķìĭł": 123323, + "оÑĩкÑĥ": 123324, + "ï¼Į便": 123325, + "γκε": 123326, + "ĠÙħباش": 123327, + "Ġayında": 123328, + "Ġä»»": 123329, + "ÑģÑĤоÑĢÑĸÑı": 123330, + "ä¸ŃåѦ": 123331, + "縮": 123332, + "ĠÑĦÑĸл": 123333, + "ãĢģãĤĦ": 123334, + "Ġæĺ¥": 123335, + "Ġterör": 123336, + "Ġповинен": 123337, + "Ġmilionů": 123338, + "ĠÙģارس": 123339, + "Ġввод": 123340, + "طاÙĦ": 123341, + "Ġê¶ģê¸Ī": 123342, + "Ġukáz": 123343, + "çĶľ": 123344, + "æļĤ": 123345, + "صت": 123346, + "Ðļогда": 123347, + "Ġमल": 123348, + "άνα": 123349, + "ĠдокÑĤоÑĢ": 123350, + "ĠкоммÑĥ": 123351, + "ĠпÑĸдÑģ": 123352, + "Ġà¸ģรà¸ģà¸İาà¸Ħม": 123353, + "ÂłÐ³": 123354, + "Ġöne": 123355, + "ĠÄIJá»ģ": 123356, + "äºĭåĭĻ": 123357, + "Ġsrov": 123358, + "Ġάν": 123359, + "ëıĦê°Ģ": 123360, + "acaģım": 123361, + "кол": 123362, + "Ġbá»ĵi": 123363, + "Ġپرداز": 123364, + "Ġä¸ļ": 123365, + "ëĭ¤ìļ´": 123366, + "ĠпÑĢедел": 123367, + "ĠÑĦедеÑĢалÑĮ": 123368, + "ĠاÙĦØ£Ùĥ": 123369, + "ãĢĢãĢĢãĢĢãĢĢĠãĢĢĠãĢĢ": 123370, + "Ġtrấn": 123371, + "Ġдлин": 123372, + "ĠÑĸмп": 123373, + "ĠsmÄĽrem": 123374, + "°ëĭ¤": 123375, + "Ġrừng": 123376, + "iciálnÃŃ": 123377, + "è¡Ĩ": 123378, + "μιο": 123379, + "ĠادارÙĩ": 123380, + "ĠÑĤÑĢÑĮ": 123381, + "ĠÄ°li": 123382, + "มà¸Ļà¸ķร": 123383, + "à¥įवà¤ļ": 123384, + "еÑĢо": 123385, + "ĠKUR": 123386, + "skými": 123387, + "δί": 123388, + "utin": 123389, + "Ġveriler": 123390, + "สà¸ĸาà¸Ļà¸Ĺ": 123391, + "ĠзаÑħодÑĸв": 123392, + "ĠÙģرÙĪدگاÙĩ": 123393, + "ĠçĶ±": 123394, + "ูà¹ģล": 123395, + "éĥij": 123396, + "ĠJako": 123397, + "ĠÑĢазвиÑĤие": 123398, + "à¤īन": 123399, + "ÙĬدا": 123400, + "Ġà¸ŀà¸¤à¸©à¸łà¸²à¸Ħม": 123401, + "물ìĿĦ": 123402, + "ëłĢ": 123403, + "-ÐĽ": 123404, + "ãĢĤãģĤ": 123405, + "Ġподв": 123406, + "ï¼īï¼ļ": 123407, + "论åĿĽ": 123408, + "ائع": 123409, + "ãĤĴãģĻãĤĭ": 123410, + "Ġأص": 123411, + "Ñĩики": 123412, + "ĠÑģÑĤил": 123413, + "leyici": 123414, + "ÑģилÑĮ": 123415, + "Ġbulundu": 123416, + "ĠÑģеÑĢедови": 123417, + "à¤Ĥर": 123418, + "ĠاÛĮÙĨجا": 123419, + "åľŃåľŃ": 123420, + "ĠmyÅ¡len": 123421, + "ĠÑĢозвиÑĤок": 123422, + "ĠiyileÅŁ": 123423, + "ĠвÑĸз": 123424, + "ëĤĺ무": 123425, + "æĦıè§ģ": 123426, + "ιÏĥÏĦη": 123427, + "ãĥĥãĥĦ": 123428, + "äºĭæķħ": 123429, + "madıģı": 123430, + "Ġà¤ħपर": 123431, + "ĠÚĨرخ": 123432, + "Ġплав": 123433, + "以æĿ¥": 123434, + "Ġë©Ģ": 123435, + "Tuy": 123436, + "ãĥ¼ãĥį": 123437, + "ĠизÑĥÑĩ": 123438, + "ĠstÅĻednÃŃ": 123439, + "课ç¨ĭ": 123440, + "Ġê·¸ëħĢëĬĶ": 123441, + "ĠдоговоÑĢÑĥ": 123442, + "ĠÄijá»ĭch": 123443, + "Ġkararı": 123444, + "åIJ´": 123445, + "ÙĥاÙħ": 123446, + "ĠпоÑĤол": 123447, + "вок": 123448, + "ĠDüz": 123449, + "Τα": 123450, + "åµ": 123451, + "âĢĻna": 123452, + "адж": 123453, + "ĠdÅĻÃŃve": 123454, + "梨": 123455, + "ĠAvust": 123456, + "åĬĽãĤĴ": 123457, + "à¹Ģà¸ģล": 123458, + "Ġпобед": 123459, + "ĠпÑĢиÑĩ": 123460, + "ĠÐijÑĸ": 123461, + "åѤ": 123462, + "ĠÐłÐµÐ³": 123463, + "ĠyetiÅŁ": 123464, + "ĠнеÑİ": 123465, + "ĠbÃŃl": 123466, + "ìĹĨìĿĮ": 123467, + "ĠÄ°talya": 123468, + "ÐĴÑģе": 123469, + "å¾Įãģ®": 123470, + "ĠjejÃŃm": 123471, + "ĠвиглÑıдÑĸ": 123472, + "огÑĢад": 123473, + "Ġbohat": 123474, + "Ġåħĭ": 123475, + "ĠдиÑĤини": 123476, + "лÑıÑĤоÑĢ": 123477, + "мага": 123478, + "ëĭĪìĬ¤": 123479, + "ĠÐłÐ°Ð´Ð¸": 123480, + "ÏĢοÏħÏģγ": 123481, + "&ZeroWidthSpace": 123482, + "Ġstruk": 123483, + "æIJŀ": 123484, + "ĠãģĿãģ®ä»ĸ": 123485, + "ìĿ¸ìĿĦ": 123486, + "ĠпÑĢовеÑģÑĤи": 123487, + "漫çĶ»": 123488, + "Ġçݩ家": 123489, + "ĠÙĪرز": 123490, + "ĠÑģвоÑĹм": 123491, + "ĠLRV": 123492, + "ิà¸ķà¸ł": 123493, + "सत": 123494, + "ĠíĿĶ": 123495, + "âĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹı": 123496, + "ĠtvoÅĻÃŃ": 123497, + "ĠÐŁÐŀ": 123498, + "é«ĺ度": 123499, + ".hwp": 123500, + "à¸ķำà¸ļล": 123501, + "Ġدس": 123502, + "ìĪĺê°Ģ": 123503, + "ìĶ©": 123504, + "ï¼īãĢĤĊ": 123505, + "æĭ³": 123506, + "Ġlô": 123507, + "ĠKültür": 123508, + "اطعة": 123509, + "Ġkuchy": 123510, + "Ġstroj": 123511, + "μενο": 123512, + "ĠконÑģÑĤÑĢÑĥкÑĨии": 123513, + "å°ıåѦ": 123514, + "Ġåįļ": 123515, + "ĠèĢĥ": 123516, + "Ġasıl": 123517, + "æĪijåĢij": 123518, + "خراج": 123519, + "ĠOnun": 123520, + "Ġç¾İåĽ½": 123521, + "à¥Ĥबर": 123522, + "Ġmuži": 123523, + "姫": 123524, + "Ġвб": 123525, + "Ġдоме": 123526, + "Ġам": 123527, + "Ġkuru": 123528, + "æ±Ĺ": 123529, + "lediÄŁi": 123530, + "Ġvẽ": 123531, + "å¾ĵ": 123532, + "ĠгÑĥбеÑĢ": 123533, + "ĠÑģÑĤановиÑĤÑĮ": 123534, + "ĠzemÄĽdÄĽl": 123535, + "ÙĦÙĦ": 123536, + "Ġramen": 123537, + "ĠprůbÄĽhu": 123538, + "Ġblok": 123539, + "ýval": 123540, + "vou": 123541, + "νά": 123542, + "ëĶĶìĭľ": 123543, + "ÑĨионнÑĭе": 123544, + "Ġê²ĮìĭľíĮIJ": 123545, + "ãĥ³ãĥĩãĤ£": 123546, + "ä¸Ģ级": 123547, + "иÑĩа": 123548, + "ĠسرÛĮاÙĦ": 123549, + "ilin": 123550, + "ायन": 123551, + "ÙĨÙĪÛĮس": 123552, + "ĠÐĶи": 123553, + "ĠادبÛĮ": 123554, + "ĠÑĥдов": 123555, + "ĠÐĹам": 123556, + "à¥ģà¤Ńव": 123557, + "Ñģок": 123558, + "ĠÑĢайоне": 123559, + "ĠEK": 123560, + "æĤī": 123561, + "Ġsorumlu": 123562, + "ĠzvyÅ¡": 123563, + "à¹Ģà¸ĭà¸Ńร": 123564, + "ináÅĻ": 123565, + "Ġudrž": 123566, + "новид": 123567, + "ĠspoleÄįnÄĽ": 123568, + "æĪIJäºĨ": 123569, + "Ｄ": 123570, + "ัà¸ŀà¸Ĺ": 123571, + "аÑĪа": 123572, + "ĠÙĨادÙĬ": 123573, + "à¹ĥà¸Ļà¸Ĺ": 123574, + "å¡ļ": 123575, + "Ġسک": 123576, + "ãĥģãĥ¥": 123577, + "ĠмаÑĢÑĪ": 123578, + "аленнÑı": 123579, + "ĠØŃÙħاÛĮت": 123580, + "ãĥ³ãĤ¸": 123581, + "รษà¸IJ": 123582, + "ĠкÑĢем": 123583, + "ĠKažd": 123584, + "ê½": 123585, + "Ġparlament": 123586, + "ĠÅŁun": 123587, + "Ġkys": 123588, + "ÏĦÏĤ": 123589, + "ê°ľìĿĺ": 123590, + "Ġvelice": 123591, + "Ġcestu": 123592, + "ظة": 123593, + "è¯Ĭ": 123594, + "Ġút": 123595, + "ĠØ®ÙĪر": 123596, + "ĠТе": 123597, + "ĠоблаÑģÑĤ": 123598, + "à¹Īà¸Ńà¸ķ": 123599, + "ĠAcadem": 123600, + "ãĢĤæľ¬": 123601, + "Ġ風": 123602, + "Ñģен": 123603, + "ãĥ¢ãĥĩãĥ«": 123604, + "ĠзавданнÑı": 123605, + "ãģ¾ãĤĮ": 123606, + "моÑĤÑĢеÑĤÑĮ": 123607, + "Ġkhá»ķ": 123608, + "à¹Īร": 123609, + "درس": 123610, + "ĠÄĮeskosloven": 123611, + "Ġ计": 123612, + "ĠÑĤаком": 123613, + "ĠÙĦاعب": 123614, + "ĠMuhammed": 123615, + "ĠÙħÙĦÙģ": 123616, + "ĠÙĪسÙĦÙħ": 123617, + "ãĤ·ãĥ£ãĥ«": 123618, + "ĠокÑĢа": 123619, + "à¥ģमत": 123620, + "ĠëĪĦ구": 123621, + "Ġnedeni": 123622, + "ĠëĤłì§ľ": 123623, + "/km": 123624, + "Ġдемон": 123625, + "ĠصÙĨاÛĮع": 123626, + "masından": 123627, + "åīįãģ®": 123628, + "æĪIJ绩": 123629, + "लà¤Ĺ": 123630, + "ĠåĮħ": 123631, + "à¸Ńà¸ģà¸Īาà¸ģà¸Ļ": 123632, + "ادا": 123633, + "Ġaylık": 123634, + "ĠÙħÙĤد": 123635, + "Ġönemlidir": 123636, + "ĠìĪľê°Ħ": 123637, + "Ġdinh": 123638, + "Ġnákup": 123639, + "istické": 123640, + "åºŁ": 123641, + "ìĬ¤íĨł": 123642, + "Ġdny": 123643, + "ĠìŀĪëıĦë¡Ŀ": 123644, + "ìĽIJìĿĺ": 123645, + "ãĥķãĥ¬": 123646, + "poz": 123647, + "Ġев": 123648, + "ĠdÃ¼ÅŁÃ¼r": 123649, + "à¥įरà¤ļ": 123650, + "Ġê²°íĺ¼": 123651, + "ĠÑĨенÑĤÑĢа": 123652, + "åŁĭ": 123653, + "ï¿£ï½Ģ": 123654, + "æѦåĻ¨": 123655, + "à¹Īาà¸Ļมา": 123656, + "Ġरव": 123657, + "Ùijد": 123658, + "μÎŃνοι": 123659, + "Ġë§IJìĶĢ": 123660, + "ĠpoÅĻad": 123661, + "Ġبغ": 123662, + "ĠÏĮλα": 123663, + "à¹īà¹Ħà¸Ĥ": 123664, + "à¹Ģà¸ģาะ": 123665, + "Ġbạc": 123666, + "Ġdá": 123667, + "dÄĽla": 123668, + "Ġteb": 123669, + "Ġkèo": 123670, + "ãĤıãĤĮ": 123671, + "Ġistiyorum": 123672, + "λήÏĤ": 123673, + "ÐIJв": 123674, + "Ġasla": 123675, + "Ġperformans": 123676, + "ĠVáclav": 123677, + "ÏģίαÏĤ": 123678, + "ĠtÄĽl": 123679, + "æĮĻ": 123680, + "оба": 123681, + "ãģijãĤĮãģ©": 123682, + "ĠëĶ¸": 123683, + "ÙĪاء": 123684, + "ĠÚ©ÙĪدکاÙĨ": 123685, + "ĠплиÑĤ": 123686, + "Ġbilir": 123687, + "Ñĥже": 123688, + "ÏĦÎŃλε": 123689, + "Ġà¤Ĩà¤ķर": 123690, + "ĠÑĤÑĢÑĥда": 123691, + "ĠدرÛĮا": 123692, + "̧": 123693, + "Ġngá»įt": 123694, + "ÙĨسا": 123695, + "аÑģÑĤи": 123696, + "ï½£": 123697, + "ÂłÐ½Ð°": 123698, + "емÑĭе": 123699, + "ĠسعÙĪد": 123700, + "Ġalım": 123701, + "è´«": 123702, + "åĪ°çļĦ": 123703, + "Ġkesinlikle": 123704, + "Ġzásad": 123705, + "ĠìĬ¤íĬ¸": 123706, + "Ġdahi": 123707, + "té": 123708, + "åįģåħ«": 123709, + "Ġzayıf": 123710, + "ذار": 123711, + "ĠاÙĬراÙĨ": 123712, + "ĠhodnocenÃŃ": 123713, + "DST": 123714, + "Ġìĸĺ": 123715, + "æĺĩ": 123716, + "éĻ£": 123717, + "Ġкле": 123718, + "Ġuplat": 123719, + "ĠاÙĦتعÙĦÙĬÙħ": 123720, + "ÏĢοίηÏĥη": 123721, + "екÑĤоÑĢа": 123722, + "Ġë§IJìĿ´": 123723, + "ĠÙģرÙĬÙĤ": 123724, + "帮åĬ©": 123725, + "çĶŁãģį": 123726, + "åĨħãģ®": 123727, + "èģĶ缣": 123728, + "гÑĢад": 123729, + "Ġchuyến": 123730, + "ãĤĤãĤĬ": 123731, + "ĠÑĩаÑģÑĤина": 123732, + "ãģªãģıãģª": 123733, + "ÑĶв": 123734, + "ĠÑĦаÑħ": 123735, + "kuk": 123736, + "çĶ·æĢ§": 123737, + "ĠÙħÛĮÙĦادÛĮ": 123738, + "Ġbeden": 123739, + "ê°Ģ를": 123740, + "मर": 123741, + "Ġìĸ´ë¨¸ëĭĪ": 123742, + "èģĶç½ij": 123743, + "Âłmi": 123744, + "Ġzahrn": 123745, + "æ²ĸ": 123746, + "Ġkhuẩn": 123747, + "Ġopráv": 123748, + "ाहà¤ķ": 123749, + "ĠÚ©ÙĪتاÙĩ": 123750, + "Ġобол": 123751, + "Ġphúc": 123752, + "ránÃŃ": 123753, + "à¥įरथ": 123754, + "æݪæĸ½": 123755, + "Ġволод": 123756, + "ĠspÃŃÅ¡e": 123757, + "ĠmÆ¡": 123758, + "ÑĬек": 123759, + "ngör": 123760, + "à¤īत": 123761, + "ksiyon": 123762, + "аÑĤе": 123763, + "Ġجزء": 123764, + "ávka": 123765, + "ÐĴС": 123766, + "laÅŁma": 123767, + "Ġç¿": 123768, + "à¸Ńาà¸Ĭ": 123769, + "ниÑĨÑĥ": 123770, + "Ġหาà¸ģ": 123771, + "ãģĭãģĹ": 123772, + "íı´": 123773, + "ĠгаÑĢан": 123774, + "ĠÏĥαν": 123775, + "ĠдобавиÑĤÑĮ": 123776, + "ĠÑĢазÑĢеÑĪ": 123777, + "á¾": 123778, + "æĺ¯ä¸ª": 123779, + "μÎŃÏĤ": 123780, + "ĠÄ°mparator": 123781, + "æ¨Ļæºĸ": 123782, + "ÑģÑĤÑĭ": 123783, + "Ġgücü": 123784, + "ĠíĥĢìĿ´": 123785, + "Ġåħ¶ä»ĸ": 123786, + "Ġtông": 123787, + "ĠvedenÃŃ": 123788, + "ëĵľë¡ľ": 123789, + "Ġmesel": 123790, + "ĠÄįe": 123791, + "jde": 123792, + "Ïģεια": 123793, + "ãĤĪãģŃ": 123794, + "ÐłÐĿ": 123795, + "è·Ŀ离": 123796, + "ĠÙĤائÙħØ©": 123797, + "าà¸ļาล": 123798, + "ĠÑģайÑĤÑĸ": 123799, + "Ġरस": 123800, + "ĠÙĤرÙĨ": 123801, + "Ġnávr": 123802, + "Ú©Ùħ": 123803, + "çļĦæīĭ": 123804, + "Ġsorunu": 123805, + "/NÄIJ": 123806, + "nutÃŃm": 123807, + "ĠØ®ÙĪرد": 123808, + "Ġngá»Ŀ": 123809, + "Ġ:.|": 123810, + "Ġbudouc": 123811, + "iÄįky": 123812, + "Ġدرد": 123813, + "ÑĢониÑĩеÑģ": 123814, + "ç¾Ĭ": 123815, + "ĠìķĦë²Ħì§Ģ": 123816, + "ĠKanunu": 123817, + "ĠпÑĢиводиÑĤ": 123818, + "άλÏħÏĪηÏĤ": 123819, + "ĠVladim": 123820, + "Ġalıp": 123821, + "ĠеÑĤап": 123822, + "Ġà¤Ĺलत": 123823, + "ĠراÙĩÙĨÙħ": 123824, + "Ġpozisyon": 123825, + "Ġgöç": 123826, + "èµŀ": 123827, + "Ġмой": 123828, + "Ġγά": 123829, + "ĠìĪł": 123830, + "ĠØ¢ÛĮÙĨدÙĩ": 123831, + "aná": 123832, + "举çľģ": 123833, + "ĠÙħتعدد": 123834, + "ĠåįĬ": 123835, + "ãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 123836, + "Ġthá»Ŀ": 123837, + "ĠвдÑĢÑĥг": 123838, + "паÑĤ": 123839, + "ĠпÑĢоведениÑı": 123840, + "ÙĨز": 123841, + "ĠاÙĦبØŃØ«": 123842, + "æģ¢": 123843, + "Ġbaktı": 123844, + "Ġè·¯": 123845, + "Ġзаболеваний": 123846, + "ĠÐķвÑĢоп": 123847, + "Ġtarihli": 123848, + "깨": 123849, + "ĠÚ©ÙĪÙĩ": 123850, + "Ġìĸ´ëł¤": 123851, + "Ġtitul": 123852, + "ĠvydánÃŃ": 123853, + "éĺ¶æ®µ": 123854, + "à¸Īะà¸ķ": 123855, + "ĠмоÑı": 123856, + "ĠкоÑĢол": 123857, + "Ġбанк": 123858, + "วรรà¸ĵ": 123859, + "ĠÙĥسارة": 123860, + "ĠKhoa": 123861, + "ĠÑĥнÑĸвеÑĢÑģиÑĤеÑĤ": 123862, + "ãģ«éĸ¢ãģĻãĤĭ": 123863, + "ruary": 123864, + "Ġà¸Ĥาย": 123865, + "Ġsvaz": 123866, + "ĠشرÙĤ": 123867, + "ĠдÑĭÑħ": 123868, + "Ġизбав": 123869, + "ĠÑıкÑĸй": 123870, + "ĠÎľÎ¿Î½": 123871, + "Ġgön": 123872, + "ĠUkraj": 123873, + "ัà¸Ļà¸Ńà¸Ńà¸ģ": 123874, + "Ġมà¸ģราà¸Ħม": 123875, + "иÑĤов": 123876, + "Ġanalý": 123877, + "ĠоÑĤмеÑĩ": 123878, + "ĠبراÙī": 123879, + "âĪı": 123880, + "ัà¸ģà¸ģ": 123881, + "æĭ¥æľī": 123882, + "ĠÑĸнÑĪого": 123883, + "ĠкомпанÑĸÑĹ": 123884, + "ĠkÅĻes": 123885, + "ĠÑĢабоÑĩ": 123886, + "adÃŃ": 123887, + "ìłł": 123888, + "à¹Ħหà¸Ļ": 123889, + "à¥ģबह": 123890, + "âĢĻdeki": 123891, + "çħ¤": 123892, + "ĠпаÑĢÑĥ": 123893, + "ìĦŃ": 123894, + "ĠнепоÑģÑĢед": 123895, + "ĠÄ°b": 123896, + "Ġà¸ŀฤศà¸Ī": 123897, + "íĭ´": 123898, + "ĠëłĪìĿ´": 123899, + "ĠThá»ķ": 123900, + "ÑıеÑĤ": 123901, + "ائج": 123902, + "»çĴĥ": 123903, + "ÐĴÐŀ": 123904, + "åĸĬ": 123905, + "Ġ第ä¸ī": 123906, + "ĠвокÑĢÑĥг": 123907, + "ÑĩенÑĮ": 123908, + "Ġolanak": 123909, + "tura": 123910, + "ĠÙħÙĬÙĦ": 123911, + "eydi": 123912, + "ĠÙħدÙĬر": 123913, + "Ġnelze": 123914, + "ัวà¸Ńย": 123915, + "ìħľ": 123916, + "Ġhlavu": 123917, + "Ġkoruy": 123918, + "ÑĨин": 123919, + "ĠдиÑģÑĨип": 123920, + "ĠÙħاÙĨد": 123921, + "ĠподÑĢоб": 123922, + "ТÐŀ": 123923, + "ÙĤرار": 123924, + "à¹ģà¸Ļะà¸Ļำ": 123925, + "문ìĿĦ": 123926, + "æĮ¯ãĤĬ": 123927, + "PÅĻi": 123928, + "Ġyên": 123929, + "शà¤ķ": 123930, + "Âłje": 123931, + "ĠÐļонÑģÑĤиÑĤÑĥ": 123932, + "à¥ģह": 123933, + "Ġپا": 123934, + "ìĨĮ를": 123935, + "Ġдела": 123936, + "кид": 123937, + "à¹Ĥà¸Ĭ": 123938, + "커ìĬ¤": 123939, + "dÄĽlen": 123940, + "à¤Ķर": 123941, + "äºİæĺ¯": 123942, + "ĠÙĩÙħÛĮØ´Ùĩ": 123943, + "ĠbaÅŁlam": 123944, + "ĠìĽ¨": 123945, + "Ġdeneyim": 123946, + "Ġüye": 123947, + "ĠνÏĮ": 123948, + "Ġà¤ĸड": 123949, + "nÄĽl": 123950, + "ĠÑģÑĦеÑĢÑĸ": 123951, + "à¸Ńà¸Ķà¸ł": 123952, + "ä¸Ģå¹´": 123953, + "Ġvurgu": 123954, + "ÄŀÄ°": 123955, + "âĢĻĊ": 123956, + "ĠÑĸнÑĪими": 123957, + "ĠзменÑĪ": 123958, + "Ġà¤ĭ": 123959, + "Ġвека": 123960, + "ĠØŃÚ©ÙĪÙħت": 123961, + "ĠتÙħاÙħÛĮ": 123962, + "Ġsmrt": 123963, + "Ġhủy": 123964, + "ĠyapılmÄ±ÅŁ": 123965, + "à¹īà¸ľ": 123966, + "ĠYen": 123967, + "ĠÑĥл": 123968, + "ĠSvÄĽt": 123969, + "ัà¸Ħ": 123970, + "ĠmÄĽsÃŃců": 123971, + "денÑĤи": 123972, + "Ġï¾ĺ": 123973, + "ĠполиÑĤи": 123974, + "skyt": 123975, + "ä¹Łæľī": 123976, + "Ġê°ĻìĬµëĭĪëĭ¤": 123977, + "Ġê·¸ëŀĺìĦľ": 123978, + "ÏĦεÏģη": 123979, + "ÑĩеÑĢ": 123980, + "ĠÃľNÄ°VERSÄ°TESÄ°": 123981, + "à¸ªà¸ł": 123982, + "Ġสร": 123983, + "ानद": 123984, + "ĠaÅŁÄ±rı": 123985, + "λίοÏħ": 123986, + "ĠÙĦÙģ": 123987, + "ÃŃnu": 123988, + "à¸Ńาร": 123989, + "ÑĤÑĥÑĢа": 123990, + "ĠÄįeských": 123991, + "Ġphức": 123992, + "以为": 123993, + "ÏģÏīÏĢα": 123994, + "ĠاÙĨرÚĺÛĮ": 123995, + "»)": 123996, + "alardan": 123997, + "ĠÑģÑĤвоÑĢÑİ": 123998, + "Ġtráv": 123999, + "६": 124000, + "ãģĬãĤĪãģ³": 124001, + "ïľĭ": 124002, + "adil": 124003, + "ĠΤι": 124004, + "ĠëIJ©ëĭĪëĭ¤": 124005, + "ĠεμÏĨ": 124006, + "Ġ구조": 124007, + "ìĹŃìĭľ": 124008, + "ĠاÙĦجاÙħ": 124009, + "主é¢ĺ": 124010, + "ãĤ¹ãĥĿ": 124011, + "ĠìĹŃìĭľ": 124012, + "ĠÚ©Ùħتر": 124013, + "ĠSpoleÄį": 124014, + "олоÑĪ": 124015, + "ĠSuriye": 124016, + "ЧеÑĢ": 124017, + "æĪĺæĸĹ": 124018, + "Ġzávis": 124019, + "æĽ¸é¤¨": 124020, + "Ġmusel": 124021, + "ĠçĿ": 124022, + "ÙħÙħ": 124023, + "ĠاÙĦخارج": 124024, + "ĠÐĵÐŀ": 124025, + "ĠваÑĢÑĤо": 124026, + "Ïģαβ": 124027, + "Ġपहà¤ļ": 124028, + "ublice": 124029, + "ÑĨионного": 124030, + "èĮ¨": 124031, + "ĠدÙģتر": 124032, + "ĠÙģس": 124033, + "Ġà¤¨à¤ľà¤°": 124034, + "tarı": 124035, + "ĠобÑĢоб": 124036, + "ĠÐłÐ°": 124037, + "ĠاÙĦصÙĨ": 124038, + "شة": 124039, + "ĠìĹĨìĹĪ": 124040, + "ožná": 124041, + "æľĢçµĤ": 124042, + "Ù¥": 124043, + "rech": 124044, + "ĠاÙĦأسر": 124045, + "Ġмови": 124046, + "Ġì¡°êµIJ": 124047, + "ÑĸмеÑĩ": 124048, + "ãĥ¯ãĥ¼": 124049, + "бÑĥÑĢг": 124050, + "ĠسÙĦس": 124051, + "åѦä¼ļ": 124052, + "Ġë¦": 124053, + "åħĭæĸ¯": 124054, + "æĸĩçĮ®": 124055, + "ĠxÆ°Æ¡ng": 124056, + "Ġyolc": 124057, + "ĠìĤ¬ë¬´": 124058, + "ãĤıãģļ": 124059, + "ĠÑĢаÑģÑĤений": 124060, + "ĠÙģضاÛĮ": 124061, + "Ġnaopak": 124062, + "ĠпÑĢивÑĭ": 124063, + "ĠدÛĮدÙĩ": 124064, + "à¸ģารà¹ĥà¸Ĭ": 124065, + "Ġåŀ": 124066, + "çijŁ": 124067, + "以åIJİ": 124068, + "ĠpÅĻibliž": 124069, + "ĠdÃ¼ÅŁman": 124070, + "Ġtemin": 124071, + "ĠÑĥÑģлÑĥг": 124072, + "Ġदब": 124073, + "ĠìĥĪê¸Ģ": 124074, + "ĠÑĥÑģÑĤÑĢойÑģÑĤва": 124075, + "ĠТÑĥÑĤ": 124076, + "ÏĦίοÏħ": 124077, + "ĠÄ°slâm": 124078, + "Ù¤": 124079, + "åıĤä¸İ": 124080, + "ĠкÑĥÑģÑĤ": 124081, + "éĻIJåĪ¶": 124082, + "تÙĬÙĨ": 124083, + "ĠоÑģÑĤаннÑĸ": 124084, + "ications": 124085, + "اکÛĮ": 124086, + "ноÑģÑı": 124087, + "ÄŁan": 124088, + "ãģıãĤĮãĤĭ": 124089, + "Ġyapıyor": 124090, + "Ġê°ķëĤ¨": 124091, + "ÙħÙĬÙħ": 124092, + "æŃIJ": 124093, + "Ġرع": 124094, + "ĠboÄŁ": 124095, + "ĠиÑģÑħод": 124096, + "èªł": 124097, + "æł·åŃIJ": 124098, + "Ġbudeme": 124099, + "ĠÑģеÑĤ": 124100, + "ιÏĥμοÏį": 124101, + "Ġå¾ĴæŃ©": 124102, + "uálnÃŃ": 124103, + "ĠاÙĦعÙĤ": 124104, + "Ġسبک": 124105, + "ĠاÙĦأخرÙī": 124106, + "EFA": 124107, + "åĽºå®ļ": 124108, + "ĠãĤ¬": 124109, + "ĠìŀIJìĹ°": 124110, + "ยวà¸Ĥ": 124111, + "بس": 124112, + "unma": 124113, + "Ġзаним": 124114, + "à¹ĥà¸Ļร": 124115, + "èĢĥèĻij": 124116, + "æ··åIJĪ": 124117, + "å°ĭ": 124118, + "ĠçıkÄ±ÅŁ": 124119, + "Ġmaliyet": 124120, + "éľĬ": 124121, + "ãģŁãĤģãģ®": 124122, + "Ġپش": 124123, + "ĠзлоÑĩ": 124124, + "Ġvýši": 124125, + "Ġschvál": 124126, + "ĠÙĨÙħÙĪدÙĩ": 124127, + "ÎĨ": 124128, + "Ġzách": 124129, + "ĠÏĥκ": 124130, + "ãĤ¹ãĥŀ": 124131, + "ĠÙħسائÙĦ": 124132, + "ĠاÙĦاجتÙħاع": 124133, + "åľ°çĤ¹": 124134, + "اÛĮاÙĨ": 124135, + "ĠÐŀк": 124136, + "ê¸Ķ": 124137, + "elease": 124138, + "ĠطبÙĤÙĩ": 124139, + "éijij": 124140, + "Ġì½Ķë¡ľëĤĺ": 124141, + "é¼ł": 124142, + "大åħ¨": 124143, + "ĠпÑĢивеÑģÑĤи": 124144, + "Ġابتد": 124145, + "ë¦¬ë¡ľ": 124146, + "ĠÑģÑĤÑĢанÑĭ": 124147, + "ĠzatÃŃmco": 124148, + "Ġhuyết": 124149, + "سÛĮÙĪÙĨ": 124150, + "Ġsordu": 124151, + "âĢĮرس": 124152, + "ĠÑĦÑĢон": 124153, + "Ġedip": 124154, + "ÙĨÚ¯ÛĮ": 124155, + "ĠкиÑĢ": 124156, + "Ġíķ´ìķ¼": 124157, + "ì»´": 124158, + "ÑĨиклоп": 124159, + "ĠпÑĢименениÑı": 124160, + "Ġобл": 124161, + "éļª": 124162, + "ĠkromÄĽ": 124163, + "æł¸å¿ĥ": 124164, + "rahim": 124165, + "оÑĢд": 124166, + "ĠlÃłnh": 124167, + "ĠоÑģÑĤÑĢов": 124168, + ";|": 124169, + "buz": 124170, + "ĠÏĦÏģο": 124171, + "ĠÐĴаÑĢ": 124172, + "æīİ": 124173, + "ılÄ±ÅŁ": 124174, + "éĿ¢ç©į": 124175, + "身份": 124176, + "é¢ĨåŁŁ": 124177, + "ĠاÙĦÙĤرÙĨ": 124178, + "ĠпÑĢиклад": 124179, + "ãĥģãĥ¼ãĥł": 124180, + "Ġสà¸ŀà¸Ľ": 124181, + "ĠоÑĩиÑģÑĤ": 124182, + "Ġмилли": 124183, + "аÑĨÑĸÑĹ": 124184, + "ีà¹Ģà¸Ń": 124185, + "Ġtanın": 124186, + "çĪ¶äº²": 124187, + "Ġmsgstr": 124188, + "ĠØ´ÛĮÙħÛĮ": 124189, + "ĠÙģراÙĩÙħ": 124190, + "Ġ맥": 124191, + "ãĢĤå½ĵ": 124192, + "ĠконÑĨенÑĤÑĢа": 124193, + "êµIJíļĮ": 124194, + "ãĤīãĤĮãģ¦": 124195, + "Ġyasak": 124196, + "ĠÐijол": 124197, + "Ġæ¾³": 124198, + "çĩķ": 124199, + "Ġجا": 124200, + "ëijĺ": 124201, + "ĠدرخÙĪاست": 124202, + "ĠmÃŃstnÃŃ": 124203, + "ÂĤÃĮ": 124204, + "Ġbaskı": 124205, + "Ġuçak": 124206, + "ä»ĵ": 124207, + "Ġìľłì§Ģ": 124208, + "Ġпоба": 124209, + "Ġzeptal": 124210, + "ç»ĻæĪij": 124211, + "ĠAtatürk": 124212, + "ĠÙħÙĨاس": 124213, + "ÑĴ": 124214, + "Ġaracı": 124215, + "лÑİÑĶ": 124216, + "Ġnitelik": 124217, + "ĠMezi": 124218, + "ĠÎŃναÏĤ": 124219, + "ÏİνÏĦαÏĤ": 124220, + "važ": 124221, + "Ġkuzey": 124222, + "ĠÏİÏģα": 124223, + "ĠÑĢозпов": 124224, + "à¹Īาà¸ģ": 124225, + "ãĢģä¸ī": 124226, + "ĠÑģÑĤаÑĢи": 124227, + "Ġhakkı": 124228, + "ĠØ¢ÙħادÙĩ": 124229, + "íĮĶ": 124230, + "омÑĸ": 124231, + "ĠâĢł": 124232, + "ãģĭãĤı": 124233, + "ãĢĮä½ł": 124234, + "æ³ķåĽ½": 124235, + "ÙIJÙĬÙĨ": 124236, + "æīķ": 124237, + "нили": 124238, + "ĠÑĥÑģÑĤановки": 124239, + "Ġlông": 124240, + "तम": 124241, + "ÙĪÙĨÙĬØ©": 124242, + "ÙĬتÙĬ": 124243, + "Ġê²Įìĭľë¬¼": 124244, + "ĠveÅ¡ker": 124245, + "ÎŃÏģγ": 124246, + "ĠÑĥÑģе": 124247, + "Ġkıl": 124248, + "Ġilgi": 124249, + "μÏīν": 124250, + "ĠзвÑĸлÑĮ": 124251, + "Ġönlem": 124252, + "à¸ģà¸İหมาย": 124253, + "ĠHiá»ĩp": 124254, + "ĠгоÑĢм": 124255, + "лÑıÑİÑĤÑĮÑģÑı": 124256, + "lamaya": 124257, + "ĠÑģпоÑģобом": 124258, + "ãģ¸ãģ¨": 124259, + "ç¦ģæŃ¢": 124260, + "ĠÑĢаÑħÑĥнок": 124261, + "ĠоÑĤвеÑĢÑģÑĤи": 124262, + ".:.:.:.": 124263, + "Ġmüda": 124264, + "онаÑħ": 124265, + "Ì£c": 124266, + "Ġyapacak": 124267, + "Ġназвание": 124268, + "对æĸ¹": 124269, + "ëĮĢíijľ": 124270, + "çĪŃ": 124271, + "вана": 124272, + "हन": 124273, + "ĠпÑĢоблема": 124274, + "ĠженÑīинÑĭ": 124275, + "èŀº": 124276, + "ĠhospodáÅĻ": 124277, + "ĠСÑĤеп": 124278, + "ĠodpovÄĽd": 124279, + "ĠSá»Ń": 124280, + "eview": 124281, + "åĩłä¹İ": 124282, + "çŁ¢": 124283, + "æĿ¥ãģŁ": 124284, + "ĠполоÑģ": 124285, + "ĠÑģел": 124286, + "å±Ĩ": 124287, + "ĠпеÑĢвой": 124288, + "ĠпÑĢоÑĨеÑģÑģа": 124289, + "ãĢĢãĤĿ": 124290, + "تاÙħبر": 124291, + "илаÑģÑı": 124292, + "ï¼ĮæĹł": 124293, + "ĠвлаÑģноÑģÑĤÑĸ": 124294, + "íķĺìŀIJ": 124295, + "аÑĤки": 124296, + "ĠBÃł": 124297, + "ĠKarel": 124298, + "è·µ": 124299, + "رÛĮÙĩ": 124300, + "ĠëĤĺ를": 124301, + "ĠобеÑģпеÑĩива": 124302, + "à¥įरपत": 124303, + "ãģĹãĤĩ": 124304, + "åįĴ": 124305, + "Ġ奥": 124306, + "ĠпÑĢоÑĤе": 124307, + "ĠæĭĽ": 124308, + "ĠСÑĤÑĢана": 124309, + "ĠÑĢабоÑĤаÑĤÑĮ": 124310, + "ĠتشخÛĮص": 124311, + "екÑģÑĥ": 124312, + "Ġ리그": 124313, + "ĠصاÙĦØŃ": 124314, + "ĠbaÅŁlamÄ±ÅŁ": 124315, + "ĠÙ¾ÛĮاÙħبر": 124316, + "زا": 124317, + "ĠмаÑģÑģ": 124318, + "ĠγαÏģ": 124319, + "ëĿ¼íĶ¼": 124320, + "Ġyarı": 124321, + "ĠÑĤипÑĥ": 124322, + "Ðŀп": 124323, + "ãģijãģªãģĦ": 124324, + "emem": 124325, + "ĠnÄĽmu": 124326, + "ĠÙĨشر": 124327, + "ĠÎijθήνα": 124328, + "ÙģراÙĨ": 124329, + "Ġ網": 124330, + "ĠпÑĢомиÑģлов": 124331, + "ĠBugün": 124332, + "ìŀĶ": 124333, + "ĠжÑĸнок": 124334, + "Ġà¸Ľà¸£à¸°à¹Ģà¸łà¸Ĺ": 124335, + "ĠвикоÑĢиÑģÑĤовÑĥваÑĤи": 124336, + "ĠТим": 124337, + ")를": 124338, + "ежаÑĤÑĮ": 124339, + "Ġsona": 124340, + "Ø´ÙĨبÙĩ": 124341, + "Ġnichž": 124342, + "åīĽ": 124343, + "ĠÙģتØŃ": 124344, + "ĠÙħÙĤدÙħ": 124345, + "ĠGüvenlik": 124346, + "eum": 124347, + "ç»ıè¿ĩ": 124348, + "è·ĿéĽ¢": 124349, + "ÂłÐ½Ðµ": 124350, + "ĠاصÙĪÙĦ": 124351, + "ĠzaÄįátku": 124352, + "ิà¹Ģวà¸ĵ": 124353, + "Ġà¤ķà¤Ł": 124354, + "Ġkriz": 124355, + "Ġpán": 124356, + "ĠбоÑĢÑĮ": 124357, + "ظÙħØ©": 124358, + "Ġê²½ë¶ģ": 124359, + "ĠاÙĦÙĬÙħÙĨ": 124360, + "ĠاÙĦعربÙĬ": 124361, + "Ġhlub": 124362, + "Ġchá»Ŀ": 124363, + "襲": 124364, + "ëĵľë¦¬": 124365, + "ãĥĸãĥª": 124366, + "ĠÑģÑĤолÑĸÑĤÑĤÑı": 124367, + "ربÙĬØ©": 124368, + "Ġæ°¸": 124369, + "Ġê±°ìĿĺ": 124370, + "ĠβαÏĥ": 124371, + "Ġarz": 124372, + "ãĥ¢ãĥ³": 124373, + "ĠÑĢÑĸвенÑĮ": 124374, + "ä¸įçŁ¥": 124375, + "导èĩ´": 124376, + "اÙĬØ´": 124377, + "ĠпÑĢевÑĭÑĪ": 124378, + "Ġпн": 124379, + "ĠÎĴÏģοÏĩή": 124380, + "Ġ身": 124381, + "ĠÄIJầu": 124382, + "ĠÏĮμÏīÏĤ": 124383, + "jÃŃž": 124384, + "Ġλίγ": 124385, + "ĠÑĪколи": 124386, + "ãģ£ãģ±ãģĦ": 124387, + "zdy": 124388, + "Ġ곧": 124389, + "teÅŁ": 124390, + "ÑĢеÑī": 124391, + "κει": 124392, + "sahuje": 124393, + "Ġà¤īसस": 124394, + "ĠTanrı": 124395, + "ä¸į好": 124396, + "éĥŃ": 124397, + "ĠвÑĭглÑıд": 124398, + "ĠçoÄŁ": 124399, + "ĠинÑģÑĤÑĢÑĥменÑĤ": 124400, + "rej": 124401, + "èĪĮ": 124402, + "ãģĭãĤīãģªãģĦ": 124403, + "ĠнепÑĢиÑıÑĤ": 124404, + "ĠкÑĢоме": 124405, + "ζη": 124406, + "Ġлог": 124407, + "ावर": 124408, + "ëħķíķĺìĦ¸ìļĶ": 124409, + "ाहरण": 124410, + "Ġgüvenilir": 124411, + "Tại": 124412, + "ĠØ´Ùĩرد": 124413, + "ĠΤε": 124414, + "оÑĢаз": 124415, + "ĠlÃłng": 124416, + "Ｉ": 124417, + "æĬķ注": 124418, + "Ġsiyaset": 124419, + "ÐĽÑİ": 124420, + "ĠtÅĻet": 124421, + "ĠÏĢÏģÏİÏĦη": 124422, + "ĠÑĥлÑĭб": 124423, + "ĠLâm": 124424, + "ÑĥлÑĮÑĤа": 124425, + "åŁºåľ°": 124426, + "Ġskupina": 124427, + "æ°¸ä¹ħ": 124428, + "лÑĥгов": 124429, + "ĠÑĨÑĸй": 124430, + "ĠPoh": 124431, + "iд": 124432, + "ĠTruy": 124433, + "çļĦä¸Ģ个": 124434, + "ë²ĦìłĦ": 124435, + "Ġxứ": 124436, + "à¸ĩà¹ģรà¸ģ": 124437, + "à¸Ħà¸Ńม": 124438, + "Ġelektronik": 124439, + "ĠaÄŁaç": 124440, + "Ġà¤ľà¤¯": 124441, + "ĠповеÑĢÑħноÑģÑĤÑĮ": 124442, + "ĠاÙĩÙħÛĮت": 124443, + "ливиÑħ": 124444, + "ĠolduÄŁundan": 124445, + "ï¼ī:": 124446, + "ÑĨиÑıÑħ": 124447, + "è£½ä½ľ": 124448, + "à¸Ĺรà¸ĩ": 124449, + "eyim": 124450, + "Ġnáklad": 124451, + "cilik": 124452, + "ĠÐĵлав": 124453, + "ĠUygu": 124454, + "ĠÑĢегÑĥлÑİ": 124455, + "à¤Ĥà¤ľà¤¨": 124456, + "Ġkaynaģı": 124457, + "à¹īาà¸Ń": 124458, + "Ġgörmek": 124459, + "ĠíĮ¬": 124460, + "Ġå®Į": 124461, + "Ø«ÙħاÙĨ": 124462, + "ĠÑĤакаÑı": 124463, + "Ġнеиз": 124464, + "Ġzprávy": 124465, + "ĠاÙĦشخص": 124466, + "Ġìĺ¤íĽĦ": 124467, + "ĠاÙĦطب": 124468, + "atırım": 124469, + "رÙĬر": 124470, + "ĠÙħعÙħارÛĮ": 124471, + "ÃľRK": 124472, + "ĠÒIJ": 124473, + "ĠìĦ¬": 124474, + "æīĭãģ«": 124475, + "Ġë³ĢíĻĶ": 124476, + "ulace": 124477, + "Ġsợ": 124478, + "ÑĢиÑĩ": 124479, + "มหาว": 124480, + "Ġkâ": 124481, + "ĠÑģпÑĢоб": 124482, + "ÙĩرÙĩ": 124483, + "ाधन": 124484, + "ĠÏĢαι": 124485, + "بعد": 124486, + "ĠاÙĦتÙĪ": 124487, + "ç»ıçIJĨ": 124488, + "působ": 124489, + "æ¬ł": 124490, + "ĠзаÑħвоÑĢÑİваннÑı": 124491, + "خة": 124492, + "ÚĨار": 124493, + "Ġbozuk": 124494, + "]âĢı": 124495, + "ĠSocorro": 124496, + "Ġhrad": 124497, + "надлеж": 124498, + "ĠÑĥÑĩаÑģÑĤие": 124499, + "å¤īãĤı": 124500, + "Ġyans": 124501, + "ĠØ¥ÙĦ": 124502, + "خبر": 124503, + "ÑĨиклопед": 124504, + "ιÏİν": 124505, + "ÏĥÏĦÏģο": 124506, + "Ġbanka": 124507, + "ĠsoÄŁuk": 124508, + "Ġünlü": 124509, + "é¢ľ": 124510, + "ĠرÙģع": 124511, + "çIJ³": 124512, + "ĠÑģоÑģÑĤоÑıнии": 124513, + "νονÏĦαÏĤ": 124514, + "ĠакÑĤи": 124515, + "ĠÏĢολÏħ": 124516, + "ĠмоÑĹ": 124517, + "Ġæł¼": 124518, + "ç²Ĺ": 124519, + "ĠÑģлÑĥÑĩай": 124520, + "ìĿ¼ìĹIJ": 124521, + "ĠÑĤÑĢебÑĥеÑĤ": 124522, + "ĠåıĤèĢĥ": 124523, + "angl": 124524, + "amik": 124525, + "ĠÄ°Åŀ": 124526, + "湯": 124527, + "ĠÄijáo": 124528, + "ละà¸Ħร": 124529, + "Ñģо": 124530, + "Âłob": 124531, + "Ġklim": 124532, + "èĥĨ": 124533, + "ìĥĿíĻľ": 124534, + "ãĥijãĥ³": 124535, + "-ब": 124536, + "Ġкад": 124537, + "à¹Īสามารà¸ĸ": 124538, + "ĠÙħسÙĦÙħاÙĨ": 124539, + "ç¿°": 124540, + "ĠBütün": 124541, + "ĠKraj": 124542, + "ĠпеÑĢÑģп": 124543, + "Ġenerj": 124544, + "ãģķãģĽãĤĭ": 124545, + "è¾¾åĪ°": 124546, + "ाà¤Ĭ": 124547, + "ĠگرÙģتÙĨ": 124548, + "ÑĪкÑĥ": 124549, + "ĠÐŁÐ»Ð¾": 124550, + "ÃŃny": 124551, + "ĠHra": 124552, + "ĠÚĨÙĨاÙĨ": 124553, + "Ġà¹Ħà¸Ĺย": 124554, + "visejÃŃcÃŃ": 124555, + "Û³Û³": 124556, + "ĠÐľÑĸнÑĸÑģÑĤеÑĢ": 124557, + "à¹Ĥà¸Ń": 124558, + "ĠدÙĩÛĮد": 124559, + "æ¯Ķä¾ĭ": 124560, + "ÏĥιεÏį": 124561, + "ÇIJ": 124562, + "ãĢģãģª": 124563, + "Ġतस": 124564, + "ĠÄ°t": 124565, + "ĠìłĦìŁģ": 124566, + "à¹Ģà¸Īร": 124567, + "Ġelektr": 124568, + "ĠdÆ°": 124569, + "âĶĶ": 124570, + "Ġìĥ¤": 124571, + "ä»®": 124572, + "à¸ģารà¹Ģล": 124573, + "ĠмÑĥлÑĮ": 124574, + "Ġ度": 124575, + "ĠHuyá»ĩn": 124576, + "вен": 124577, + "ĠlÆ°á»Ľi": 124578, + "Ġprovozu": 124579, + "ÑĥÑĢÑĥ": 124580, + "ÑĢÑĸÑĹ": 124581, + "ĠçocuÄŁ": 124582, + "ัà¸IJà¸ļาล": 124583, + "ÙĦÙĬÙĩ": 124584, + "Ġ[âĢ¦]...Ċ": 124585, + "åİŁå§ĭ": 124586, + "Ġsklad": 124587, + "ĠسپتاÙħبر": 124588, + "ĠTomáš": 124589, + "ĠسÙĪاÙĦ": 124590, + "çģŃ": 124591, + "ãĤĵãģ©": 124592, + "назнаÑĩ": 124593, + "ĠÄijÄ©a": 124594, + "ĠudÄĽlat": 124595, + "Ġà¤Ĩदम": 124596, + "Ｌ": 124597, + "ινÏĮ": 124598, + "iÅŁleri": 124599, + "ÄIJây": 124600, + "ĠرساÙĨÙĩ": 124601, + "عاÙħ": 124602, + "ãĥ¼ãĥijãĥ¼": 124603, + "Ġdoprov": 124604, + "ĠмÑĸÑģÑĤо": 124605, + "ï¼¥": 124606, + "елÑĸг": 124607, + "ائز": 124608, + "ä¸įäºĨ": 124609, + "ĠÐIJлекÑģандÑĢ": 124610, + "ĠвÑĢемен": 124611, + "ĠdveÅĻe": 124612, + "Ġchảy": 124613, + "Ġotel": 124614, + "èĤ¯å®ļ": 124615, + "ĠÑĥÑĤвеÑĢжд": 124616, + "ĠÐļомп": 124617, + "ĠëĤĺëĿ¼": 124618, + "ĠвÑĸдбÑĥваÑĶÑĤÑĮÑģÑı": 124619, + "ãĢģãĢİ": 124620, + "ĠkarÅŁÄ±lık": 124621, + "Ġlẫn": 124622, + "çħĻ": 124623, + "عکس": 124624, + "å¼¥": 124625, + "Ġtecr": 124626, + "Ġneod": 124627, + "æĪIJçĤº": 124628, + "åħ¥ãĤĬ": 124629, + "ĠÐŁÑĢод": 124630, + "ĠÏĢÏģά": 124631, + "ืà¸Ńà¸Ķ": 124632, + "ÑģÑĤаÑĤи": 124633, + "еноÑĹ": 124634, + "ÑĩиÑģл": 124635, + "羣æŃ£": 124636, + "Ġราà¸Ħ": 124637, + "ÑĥÑĢе": 124638, + "ĠشاÙĩد": 124639, + "اعر": 124640, + "Ġê²½íĹĺ": 124641, + "à¸Ļà¸Ħ": 124642, + "ãĥįãĥ«": 124643, + "ÏĢοÏħλοÏĤ": 124644, + "Ġमà¤Ī": 124645, + "ìĬ¤ì½Ķ": 124646, + "itelné": 124647, + "å¼ĢæĶ¾": 124648, + "çį¨": 124649, + "ĠpÅĻech": 124650, + "úÄįast": 124651, + "å¢ĵ": 124652, + "Ġå½±": 124653, + "ÙĨساÙĨ": 124654, + "Ġдвад": 124655, + "ĠидеÑĤ": 124656, + "ĠподклÑİÑĩ": 124657, + "íĬ¹ë³Ħìĭľ": 124658, + "BÃłi": 124659, + "Å¡ku": 124660, + "ilerden": 124661, + "åıĺå¾Ĺ": 124662, + "ëıĻìķĪ": 124663, + "ĠpostupnÄĽ": 124664, + "ĠиÑĤог": 124665, + "Ġdůvodu": 124666, + "sizlik": 124667, + "ÙĦاÙĨ": 124668, + "éĤ£ç§į": 124669, + "ĠÑĩаÑģа": 124670, + "ä¸įæĸŃ": 124671, + "ĠØ®ÛĮاباÙĨ": 124672, + "ĠاÙĦداخ": 124673, + "ĠÑģÑĤоÑĢÑĸн": 124674, + "Ġì¶ľìĹ°": 124675, + "æ²Ł": 124676, + "Ġhry": 124677, + "ĠGÃľ": 124678, + "ĠìĿ¸êµ¬": 124679, + "lied": 124680, + "ĠعاÙĦÙĬØ©": 124681, + "ĠпÑĢедваÑĢ": 124682, + "анной": 124683, + "åı¥è¯Ŀ": 124684, + "éłĵ": 124685, + "ë°ĶìĿ¼": 124686, + "ï¼ı/": 124687, + "ĠÙħختصات": 124688, + "ëŀ«": 124689, + "ĠçalÄ±ÅŁmaları": 124690, + "Ġrepublika": 124691, + "Ġì³": 124692, + "ा)": 124693, + "Ġê±´ê°ķ": 124694, + "Ġê³µëıĻ": 124695, + "èħ¦": 124696, + "ĠìĦľë¡ľ": 124697, + "ĠпÑĢоводиÑĤÑĮ": 124698, + "ĠдейÑģÑĤвиÑĤелÑĮно": 124699, + "veç": 124700, + "ثاÙĦ": 124701, + "Ġgösterir": 124702, + "ırlar": 124703, + "ĠÑģамÑĭм": 124704, + "álo": 124705, + "é¢ij次": 124706, + "à¥Īà¤Ĺ": 124707, + "ادÙħ": 124708, + "çĮª": 124709, + "ĠSản": 124710, + "Ġçı": 124711, + "Ġlety": 124712, + "Ġrepublice": 124713, + "æĿ¥èĩª": 124714, + "Ġvết": 124715, + "Ġbirik": 124716, + "Ġmekt": 124717, + "ĠاÙĦÙĪÙģ": 124718, + "Ġjich": 124719, + "ä¸Ģ覧": 124720, + "éľ²åĩº": 124721, + "ĠHiá»ĩn": 124722, + "Ġdiá»ĩt": 124723, + "ĠÑħÑĢиÑģÑĤи": 124724, + "åĪļæīį": 124725, + "kate": 124726, + "Ġbazen": 124727, + "ĠurÄįitÄĽ": 124728, + "ĠumožÅĪuje": 124729, + "é¡ĺãģĦ": 124730, + "/QÄIJ": 124731, + "ĠmenÅ¡ÃŃ": 124732, + "ÏĥκεÏħή": 124733, + "ĠÑĨеÑĢков": 124734, + "Ġè´Ń": 124735, + "окÑĢаÑĤи": 124736, + "ĠÑĢозк": 124737, + "ανοÏħ": 124738, + "Ġyönetic": 124739, + "Ġolmadan": 124740, + "åĨľä¸ļ": 124741, + "Ġë°ĶëŀĮ": 124742, + "çĵľ": 124743, + "ÑĪаеÑĤÑģÑı": 124744, + "ĠÐļоÑģÑĤ": 124745, + "ĠÙħعت": 124746, + "Ġà¸ŀล": 124747, + "ĠÙħتÙģاÙĪت": 124748, + "ãĤīãģı": 124749, + "èĪĹ": 124750, + "ĠتعرÛĮÙģ": 124751, + "éīĦéģĵ": 124752, + "ĠpéÄįe": 124753, + "컵": 124754, + "ĠподÑĢаз": 124755, + "ĠбанкÑĥ": 124756, + "Ä°SÄ°": 124757, + "æ¡IJ": 124758, + "à¹Ĥรà¸Ħ": 124759, + "ĠØŃØ°Ùģ": 124760, + "Ġë£": 124761, + "лиж": 124762, + "ĠìĤ°ìĹħ": 124763, + "ĠпÑĢиÑĩинÑĭ": 124764, + "Ġназна": 124765, + "ãĥªãĤ¹ãĥĪ": 124766, + "ìłķë¶Ģ": 124767, + "ÏĥÏĨα": 124768, + "å¦ĥ": 124769, + "Ġголови": 124770, + "ëIJĺìĹĪìĬµëĭĪëĭ¤": 124771, + "ĠενÏĮÏĤ": 124772, + "ãĤ¤ãĥ³ãĤ¿": 124773, + "Ġslun": 124774, + "ëł´": 124775, + "ĠÑģÑĥÑīеÑģÑĤвÑĥеÑĤ": 124776, + "заб": 124777, + "æĽ´åĬł": 124778, + "ĠблагодаÑĢÑı": 124779, + "ĠëĮĢ구": 124780, + "è¾ħ": 124781, + "หาà¸ģ": 124782, + "Ġæİ¥": 124783, + "ëĮĢ를": 124784, + "人类": 124785, + "jeme": 124786, + "åĪĨå¸ĥ": 124787, + "ìŀ¥ìĿĢ": 124788, + "Ġдопомоги": 124789, + "ìĻĦë£Į": 124790, + "osy": 124791, + "èĭ±éĽĦ": 124792, + "ĠÙĦس": 124793, + "मह": 124794, + "Ġà¸ģำ": 124795, + "ĠداشتÙĨ": 124796, + "Ńìłľ": 124797, + "Ä°ng": 124798, + "ĠThÆ°á»Ŀng": 124799, + "íĻĢ": 124800, + "ÑįÑĦ": 124801, + "íķ´ìļĶ": 124802, + "ĠÐľÑĸж": 124803, + "еÑĢÑĸга": 124804, + "Ġεá¼": 124805, + "à¹ģสà¸ĩ": 124806, + "ãĥĢãĤ¤": 124807, + "Ġcesty": 124808, + "Ġprázd": 124809, + "第ä¸Ģ次": 124810, + "ĠÙĩÙħسر": 124811, + "Ġzev": 124812, + "ÂłE": 124813, + "ĠBelediyesi": 124814, + "ĠпÑĢопози": 124815, + "ĠanlayÄ±ÅŁ": 124816, + "ÂłÙħ": 124817, + "ĠÑĢаÑģÑģÑĩиÑĤ": 124818, + "ĠاÙĦØ£ÙħرÙĬÙĥÙĬØ©": 124819, + "Ġžena": 124820, + "deniz": 124821, + "Ġnoci": 124822, + "Ġstál": 124823, + "ุย": 124824, + "주ìĨĮ": 124825, + "ĠзеÑĢ": 124826, + "ĠìĨĮê°ľ": 124827, + "Ġkhẳng": 124828, + "atıcı": 124829, + "ÄĽÅ¾": 124830, + "ĠÑĩÑĥÑĤÑĮ": 124831, + "ĠcáºŃu": 124832, + "ĠاطÙĦاع": 124833, + "æµħ": 124834, + "Ġstrav": 124835, + "ĠSanayi": 124836, + "ĠطبÙĬ": 124837, + "Ġhızla": 124838, + "Ïİνα": 124839, + "à¤¿à¤ľà¤²": 124840, + "ÙħØŃÙħد": 124841, + "à¸ļà¸ģ": 124842, + "Ġvzdálen": 124843, + "ĠÑĤакими": 124844, + "ãĢĤãģĿãģĹãģ¦": 124845, + "Ġkalp": 124846, + "Ġкожного": 124847, + "ÐłÂµ": 124848, + "ÙĦعاب": 124849, + "ĠÙħÙĪÙĨ": 124850, + "ĠìĿ¼ìĿĦ": 124851, + "Ġë°ĶìĿ´": 124852, + "Ġmekan": 124853, + "ĠجاÙħع": 124854, + "ĠÙĨÙģت": 124855, + "ĠاÙĦسÙħ": 124856, + "лÑĭÑħ": 124857, + "èĥĮæĻ¯": 124858, + "Ġê²ĥëıĦ": 124859, + "ĠìĤ´ìķĦ": 124860, + "ydı": 124861, + "ĠнавеÑĢ": 124862, + "åŃIJãģ¯": 124863, + "luluk": 124864, + "Ġhá»Ĺn": 124865, + "ĠØ´Ùģ": 124866, + "ĠعÙĦت": 124867, + "à¸Ħราม": 124868, + "ĠÎļÏįÏĢ": 124869, + "Ġà¹Ģมษายà¸Ļ": 124870, + "ÙĨدÙĤ": 124871, + "ĠÑĥÑģÑĤÑĢа": 124872, + "ĠÎĵεν": 124873, + "ĠÐĨван": 124874, + "ĠPhong": 124875, + "家çļĦ": 124876, + "ĠÐIJлекÑģ": 124877, + "ĠзбеÑĢÑĸг": 124878, + "ĠÅŁarkı": 124879, + "ĠظرÙģÛĮت": 124880, + "ĠÙħعÙĨÛĮ": 124881, + "Ġлов": 124882, + "ĠìĤ¶": 124883, + "èħIJ": 124884, + "Ġå¯Į": 124885, + "ERG": 124886, + "ĠÑģÑĤоимоÑģÑĤÑĮ": 124887, + "ÅĻet": 124888, + "à¥īय": 124889, + "à¹Īาร": 124890, + "ĠارÙĪپا": 124891, + "ĠбÑĢоÑģ": 124892, + "ĠоÑĤноÑģÑıÑĤ": 124893, + "ĠÎŁÎº": 124894, + "ÑĨÑĮкий": 124895, + "ÏĬκ": 124896, + "ãģĤãĤĬãģ¾ãģĽãĤĵ": 124897, + "ĠÑĥник": 124898, + "ĠÄijiá»ĥn": 124899, + "Ġvýzkum": 124900, + "Ġhứ": 124901, + "ĠÙĪات": 124902, + "Ġå¹³æĸ¹": 124903, + "Ïħμ": 124904, + "ãĤĴ使": 124905, + "είÏĦαι": 124906, + "两人": 124907, + "ĠåĮ»": 124908, + "ÑĢаÑĤиÑĤÑĮ": 124909, + "ĠاÙĦاÙĨت": 124910, + "ãģ®äºº": 124911, + "رش": 124912, + "ĠТÑĥÑĢ": 124913, + "rnÄĽ": 124914, + "天天": 124915, + "มาร": 124916, + "Ġortalama": 124917, + "ĠпеÑĢепиÑģ": 124918, + "ĠìĥĿìĤ°": 124919, + "å¿Ĩ": 124920, + "íĩ´": 124921, + "ï¼Į该": 124922, + "éĮ¢": 124923, + "ÏĢαίδ": 124924, + "ĠмеÑĢопÑĢи": 124925, + "ĠгÑĢав": 124926, + "ÃĶng": 124927, + "Ġæ¤": 124928, + "ĠاÙĦدÙĪÙĦØ©": 124929, + "ĠоÑģÑĮ": 124930, + "å¥Ķ": 124931, + "Ġgüvenli": 124932, + "íķĺìĭł": 124933, + "ĠéĬ": 124934, + "éŁ³æ¨Ĥ": 124935, + "Ġmedya": 124936, + "ĠبÙĨا": 124937, + "ама": 124938, + "ĠãĤŃãĥ£": 124939, + "èĹ¥": 124940, + "larım": 124941, + "ĠTiếng": 124942, + "iyorlar": 124943, + "ï¼¢": 124944, + "æĶĿ": 124945, + "ÑĸйÑģÑĮкоÑĹ": 124946, + "ĠyetiÅŁtir": 124947, + "Ġپسر": 124948, + "ãĤīãģĹ": 124949, + "Âļ": 124950, + "ìĥ¤": 124951, + "à¸Ķาห": 124952, + "ĠتØŃصÛĮÙĦ": 124953, + "Ġбенз": 124954, + "éģ£": 124955, + "ĠнаблÑİ": 124956, + "ä½ĵç³»": 124957, + "ãĥ¯ãĤ¤ãĥĪ": 124958, + "³³Ġ": 124959, + "书记": 124960, + "ĠMühendis": 124961, + "plor": 124962, + "laz": 124963, + "лÑıли": 124964, + "Ġpomáh": 124965, + "Ġближ": 124966, + "ĠÑĩиÑģла": 124967, + "ĠubytovánÃŃ": 124968, + "ÑĢаÑĤно": 124969, + "ĠtrÄĥm": 124970, + "ĠابراÙĩ": 124971, + "átka": 124972, + "Ġiçindeki": 124973, + "ัà¸ļà¸Ļ": 124974, + "ĠاÙħÛĮد": 124975, + "nave": 124976, + "ecut": 124977, + "å°±åľ¨": 124978, + "Ġtradi": 124979, + "Ø·ÙĦÙĤ": 124980, + "ãĤ¦ãĤ©": 124981, + "Ġkhuôn": 124982, + "ìĬ¤ë¡ľ": 124983, + "ÏĦÎŃÏģα": 124984, + "ĠÏĥκο": 124985, + "맼": 124986, + "ĠÙģÙĨÛĮ": 124987, + "à¹Įà¹Ģà¸ŀ": 124988, + "ĠاÙĦعظ": 124989, + "Ġthôn": 124990, + "기ìĿĺ": 124991, + "Ġ฿": 124992, + "ÑĥÑİÑĤÑģÑı": 124993, + "ĠÙħکاÙĨ": 124994, + "ĠâĹİ": 124995, + "Ġçľģ": 124996, + "Ġåį¡": 124997, + "ĠпеÑĢÑĪий": 124998, + "ĠíĽĦë³´": 124999, + "ĠآراÙħ": 125000, + "ãģĮãģĦ": 125001, + "ยาà¸Ļ": 125002, + "μει": 125003, + "ĠMáy": 125004, + "Ġzů": 125005, + "Ġpodporu": 125006, + "컨": 125007, + "ÑģÑĤÑĢи": 125008, + "ÏĢÏĦÏīÏĥη": 125009, + "Ð¤ÐĽ": 125010, + "åĵªéĩĮ": 125011, + "ĠпеÑĢвÑĥÑİ": 125012, + "Ġyerinde": 125013, + "ĠزÛĮبا": 125014, + "Ġodstran": 125015, + "à¥Ģà¤Ĺ": 125016, + "ĠÑĢÑĸзнÑĸ": 125017, + "ÏģηÏĥη": 125018, + "âĢĮاÙĦÙħÙĦÙĦÛĮ": 125019, + "عاد": 125020, + "à¥įपष": 125021, + "ÑŁN": 125022, + "ï½Ľ": 125023, + "ãĥ¼ãĥľ": 125024, + "è´Ńä¹°": 125025, + "ĠìĿ¸ê¸°ê¸Ģ": 125026, + "ĠÙħÛĮØ´ÙĪد": 125027, + "ĠбезопаÑģноÑģÑĤи": 125028, + "ĠνεÏĨοκ": 125029, + "ãģ«ãģ¨": 125030, + "ĠÑĨеÑĢкви": 125031, + "تÙĥ": 125032, + "ĠHÃłng": 125033, + "ĠÙĦÙĦس": 125034, + "ĠνεÏĨοκάλÏħÏĪηÏĤ": 125035, + "raman": 125036, + "Ġvyvol": 125037, + "niÄį": 125038, + "راÙĨÙĩ": 125039, + "ĠpeÅŁ": 125040, + "ãĥ«ãĤ¯": 125041, + "å´ĩ": 125042, + "Ġimkân": 125043, + "åĮ»çĸĹ": 125044, + "Ġपà¥Ŀ": 125045, + "άννηÏĤ": 125046, + "ĠجÛĮ": 125047, + "Ġproje": 125048, + "Ġülkenin": 125049, + "ĠKew": 125050, + "ĠاÙĦÙħÙģ": 125051, + "Ø£Ùĥ": 125052, + "çĻºè¡¨": 125053, + "ĠδÏħ": 125054, + "ĠåĽ½å®¶": 125055, + "ĠKiÅŁisel": 125056, + "ãĥ³ãĤ¬": 125057, + "Ġzpráva": 125058, + "Viá»ĩc": 125059, + "erif": 125060, + "Ġstránky": 125061, + "éļł": 125062, + "è¼ķ": 125063, + "коз": 125064, + "Ġà¤¸à¤ľ": 125065, + "ÙĩداÙģ": 125066, + "loub": 125067, + "à¸łà¸²à¸ŀยà¸Ļà¸ķร": 125068, + "ĠíķłìĿ¸": 125069, + "ĠÄIJÃło": 125070, + "ĠÙĨاØŃÛĮÙĩ": 125071, + "(=)": 125072, + "ĠÅŀampiyon": 125073, + "ĠpiÅŁ": 125074, + "ĠØ°Ùĩ": 125075, + "९": 125076, + "ĠÑģÑĢедÑģÑĤво": 125077, + "Ġà¹Ģวลา": 125078, + "ĠÑĩÑĥж": 125079, + "Ġverileri": 125080, + "Ġکارت": 125081, + "ави": 125082, + "Ġà¤ķरव": 125083, + "Ġrestau": 125084, + "ê°ľìĽĶ": 125085, + "ĠмиÑĢов": 125086, + "ì°®": 125087, + "ĠnÄĽjaký": 125088, + "Ġsessiz": 125089, + "اءات": 125090, + "ĠÐĹаÑħ": 125091, + "ÑıÑīиÑħ": 125092, + "пÑĢ": 125093, + "ĠподалÑĮ": 125094, + "ĠопÑĢеделиÑĤÑĮ": 125095, + "à¥Ń": 125096, + "ĠرÙģ": 125097, + "幸ç¦ı": 125098, + "à»": 125099, + "ĠvÄĽdom": 125100, + "ĠÑģвидеÑĤелÑĮ": 125101, + "ĠÎĵοÏħ": 125102, + "ılıģıyla": 125103, + "çĻ»éĮ²": 125104, + "Ġä¸ĭè·Į": 125105, + "ĠплÑİ": 125106, + "нод": 125107, + "ĠأجÙĦ": 125108, + "Ġà¤ķथ": 125109, + "éĥ½ä¸į": 125110, + "Ġsene": 125111, + "ĠpÄĽ": 125112, + "è¨ĪåĬĥ": 125113, + "ĠаÑĥд": 125114, + "Ġодном": 125115, + "Ġä¸ĩåħĥ": 125116, + "ĠÙĪÙħا": 125117, + "ĠÐĶÑĢÑĥг": 125118, + "èµ·ãģĵ": 125119, + "ваÑİÑĤÑģÑı": 125120, + "лаÑĤÑĥ": 125121, + "ĠتÙĪÙĨ": 125122, + "ÑīаÑı": 125123, + "ήλ": 125124, + "ĠÐŁÑĢа": 125125, + "Ġاسترات": 125126, + "ิà¸Ļà¹Ģà¸Ķ": 125127, + "à¥įà¤Ĺत": 125128, + "ÂłÐ·": 125129, + "ĠполоÑĤ": 125130, + "æ®ĸ": 125131, + "æ¡Ĩ": 125132, + "ĠSistem": 125133, + "Ġruku": 125134, + "ãĥĥãĤ«ãĥ¼": 125135, + "ĠобÑıзан": 125136, + "ĠkÃ¶ÅŁ": 125137, + "Ġadını": 125138, + "Ø´ÙħاÙĦÛĮ": 125139, + "naÄįenÃŃ": 125140, + "Ġ.ï¼ı": 125141, + "Ġå®ĺ": 125142, + "Ġtoplumsal": 125143, + "誤": 125144, + "ĠبÙĩبÙĪد": 125145, + "ÑģÑĤвеннаÑı": 125146, + "Ġآپ": 125147, + "ĠجÙĦسÙĩ": 125148, + "ãĢĢï½": 125149, + "åĵŃ": 125150, + "æīĢå±ŀ": 125151, + "æĴ®": 125152, + "ì¢Ģ": 125153, + "Ġει": 125154, + "ì¹ĺ를": 125155, + "Ġê³¼ìłķ": 125156, + "uuml": 125157, + "δά": 125158, + "Ġزد": 125159, + "ìĽIJìĿĦ": 125160, + "ĠvÄĽcÃŃ": 125161, + "دث": 125162, + "Ġsanki": 125163, + "åĥıæĺ¯": 125164, + "лаÑĢа": 125165, + "ìĤ¬ìĿ´": 125166, + "ãĤıãĤĮãģŁ": 125167, + "ĠÄijón": 125168, + "åIJ¯åĬ¨": 125169, + "ĠgiÃłnh": 125170, + "Ġkırmızı": 125171, + "Ø®Ùħ": 125172, + "æIJį": 125173, + "åĪĩãĤĬ": 125174, + "ãĤµãĥ¼ãĥĵãĤ¹": 125175, + "Ùĩار": 125176, + "Ø°Ùĥر": 125177, + "оÑĢоз": 125178, + "à¥Īà¤Ĥ।ĊĊ": 125179, + "ĠíĻĪíİĺìĿ´ì§Ģ": 125180, + "ĠÙĥبÙĬرة": 125181, + "нина": 125182, + "íķĺìļ°": 125183, + "å¼ķçĶ¨é¢ij次": 125184, + "८": 125185, + "ĠбаÑĤÑĮкÑĸв": 125186, + "à¸Łà¸Ńร": 125187, + "ี.": 125188, + "ìłĿíĬ¸": 125189, + "éĺħ读次æķ°": 125190, + "Ġitir": 125191, + "ÑĪин": 125192, + "ĠVáºŃy": 125193, + "çĤ®": 125194, + "лагод": 125195, + "Ø´ÙĨاس": 125196, + "á»IJ": 125197, + "ĠÑıгод": 125198, + "Ġì¤ijìķĻ": 125199, + "رÙĬØ·": 125200, + "ĠìĪĺíĸī": 125201, + "Ġä¸ĢèĪ¬": 125202, + "ĠÑħвилин": 125203, + "ĠÐľÐ¾Ð¶Ð½Ð¾": 125204, + "ĠнаÑĩале": 125205, + "Ġоднов": 125206, + "ĠÃľÃ§": 125207, + "ÑĨионнÑĭй": 125208, + "Ġìļķ": 125209, + "æ¼Ĥ": 125210, + "å²³": 125211, + "تدÙī": 125212, + "κηÏĤ": 125213, + "âĢĻnda": 125214, + "ï¼IJï¼IJ": 125215, + "èªī": 125216, + "é§ħå¾ĴæŃ©": 125217, + "ĠÙģرزÙĨد": 125218, + "åħ¬è·¯": 125219, + "αÏĥίαÏĤ": 125220, + "าà¸ĵาà¸Ī": 125221, + "ëij¥": 125222, + "ĠÏĢοι": 125223, + "ĠبداÙĨ": 125224, + "кап": 125225, + "ĠìŀĪëĬĶëį°": 125226, + "ï¼ĮæѤ": 125227, + "à¸Ľà¸£à¸°à¹Ĥยà¸Ĭà¸Ļ": 125228, + "ĠÚ©Ø´ÙĪرÙĩاÛĮ": 125229, + "ุส": 125230, + "ãģ¹ãģį": 125231, + "ĠÑģамÑĭй": 125232, + "ĠплÑı": 125233, + "Ġбед": 125234, + "人æīį": 125235, + "สหร": 125236, + "ูà¸ķ": 125237, + "Ġkullanımı": 125238, + "íķĻëħĦ": 125239, + "æ²»çĸĹ": 125240, + "ãĢĤä¸įè¿ĩ": 125241, + "æ£ļ": 125242, + "ëĤ¨ëıĦ": 125243, + "Ġآتش": 125244, + "ÏĩÎŃÏĤ": 125245, + "Ġfunkci": 125246, + "нообÑĢаз": 125247, + "à¥ĭफ": 125248, + "Ġkaps": 125249, + "าษà¸İ": 125250, + "(ع": 125251, + "ï¼ĮåĬł": 125252, + "à¹Ĭà¸ģ": 125253, + "ĠÙĩØ´": 125254, + "ĠدرÙĪÙĨ": 125255, + "ĠмеÑĩ": 125256, + "ĠпÑĢежде": 125257, + "à¹Īย": 125258, + "Ġارشد": 125259, + "าà¹Ģล": 125260, + "æ¯Ķè¼ĥ": 125261, + "Ġذکر": 125262, + "ĠæĿ¡": 125263, + "ÐĬ": 125264, + "ÑĥкÑĢаÑĹн": 125265, + "ÙĬÙĨات": 125266, + "ì¢ĭ": 125267, + "диÑı": 125268, + "ÏĦÏģι": 125269, + "ĠÐļаз": 125270, + "ÙĤÙĦاÙĦ": 125271, + "_,,": 125272, + "ĠÚĨت": 125273, + "ĠìĿ¼ìłķ": 125274, + "ĠÐŁÑĢоÑĦ": 125275, + "æ³Ľ": 125276, + "Ġdruhý": 125277, + "ÑĩÑĥк": 125278, + "ledik": 125279, + "Ġheyec": 125280, + "Ñĭвал": 125281, + "ĠDüny": 125282, + "ĠçĻº": 125283, + "ĠpÅĻátel": 125284, + "βάλ": 125285, + "Ġغر": 125286, + "ëĭ¨ì²´": 125287, + "ìĽ¨ëĶĶìĭľ": 125288, + "ÑĢаÑīениÑı": 125289, + "нÑĨиклопед": 125290, + "Ġpodnikatel": 125291, + "Ġìĭłìŀħ": 125292, + "ĠÙģرآ": 125293, + "илиÑģÑı": 125294, + "Ġolumlu": 125295, + "à¥įषमत": 125296, + "ĠÙħتخصص": 125297, + "йом": 125298, + "ؤاÙĦ": 125299, + "ĠÐĿаÑĤ": 125300, + "ìĺ¤ëĬĶ": 125301, + "ĠMüdürlÃ¼ÄŁÃ¼": 125302, + "ĠHÃłnh": 125303, + "ĠسابÙĤ": 125304, + "ï¼īçļĦ": 125305, + "ĠQuý": 125306, + "ládánÃŃ": 125307, + "Ġìļ´ëıĻ": 125308, + "ĠÐĺÑħ": 125309, + "諾": 125310, + "lıģının": 125311, + "lil": 125312, + "uÄį": 125313, + "ĠÑĩемпÑĸон": 125314, + "ÑĤож": 125315, + "Ġä½Ľ": 125316, + "ниÑĨе": 125317, + "ĠпеÑĢвого": 125318, + "ĠÑģом": 125319, + "ÏĩÏİ": 125320, + "ÅĻik": 125321, + "иÑĤелÑĮÑģÑĤва": 125322, + "ĠÄ°ki": 125323, + "Ġaskeri": 125324, + "cisi": 125325, + "ĠjednÃŃm": 125326, + "Ġstanice": 125327, + "èĤ¡ç¥¨": 125328, + "à¸ľà¸¡": 125329, + "Từ": 125330, + "Å¡ak": 125331, + "ÏĦία": 125332, + "мами": 125333, + "ãģĮåĩº": 125334, + "μοί": 125335, + "маÑĶ": 125336, + "ëł¥ìĿ´": 125337, + "ãĤĦãģ£ãģ¦": 125338, + "Ġå¼µ": 125339, + "ØĮĊ": 125340, + "Ġ»Ċ": 125341, + "اجات": 125342, + "á½³": 125343, + "æĻĤãģ®": 125344, + "Ġпокол": 125345, + "ÑĸÑĤеÑĤ": 125346, + "Ġíķ´ê²°": 125347, + "Ġdedim": 125348, + "ĠÑĤвеÑĢд": 125349, + "ĠженÑīина": 125350, + "едини": 125351, + "ĠÙ¾ÛĮÚ©": 125352, + "iversite": 125353, + "ĠآسÛĮاب": 125354, + "ĠÑħаÑĢакÑĤеÑĢиÑģÑĤики": 125355, + "ĠØ£ÙĨÙĩا": 125356, + "ĠÑĥкÑĢаÑĹнÑģÑĮкоÑĹ": 125357, + "ĠاختÙĦاÙģ": 125358, + "Ġtez": 125359, + "ÏģεÏħ": 125360, + "Ġkonumu": 125361, + "ĠÑĤеÑħнÑĸ": 125362, + "мÑĸв": 125363, + "èĬ¯": 125364, + "ĠÏĥελ": 125365, + "Ä¢": 125366, + "μιÏĥ": 125367, + "ีà¹īĊ": 125368, + "Ġmne": 125369, + "ĠоÑĤвеÑĩ": 125370, + "ĠÎī": 125371, + "Ġéĩİ": 125372, + "Ġgấp": 125373, + "ĠпÑĢодÑĥкÑĤÑĭ": 125374, + "ĠСÑĢед": 125375, + "ÑĸллÑı": 125376, + "à¸ļà¸Ńà¸ģ": 125377, + "ĠtÅĻÃŃdy": 125378, + "Ġthá»ķ": 125379, + "ãĥĩãĤ£ãĤ¢": 125380, + "ÏĢοιη": 125381, + "νει": 125382, + "æĪij们çļĦ": 125383, + "Ġprofesyonel": 125384, + "ĠRakou": 125385, + "Ġвидно": 125386, + "Ġzby": 125387, + "ĠØŃاÙĦÛĮ": 125388, + "Ġé£Ł": 125389, + "ĠLÃłm": 125390, + "Ġگست": 125391, + "ĠТип": 125392, + "θι": 125393, + "ávis": 125394, + "ÙIJب": 125395, + "åı¯èĥ½æĢ§": 125396, + "ĠÑģемей": 125397, + "ãĤīãĤĮãģ¦ãģĦãĤĭ": 125398, + "ìĥģíĴĪ": 125399, + "ĠοÏħ": 125400, + "Ġà¤ħà¤Ĺस": 125401, + "олом": 125402, + "γον": 125403, + "ĠÑģвÑıÑī": 125404, + "æĵ¦": 125405, + "ÏĥÏĦηκε": 125406, + "èĢħçļĦ": 125407, + "-à¤ķ": 125408, + "ÑĤии": 125409, + "ĠвизнаÑĩеннÑı": 125410, + "åıijåĩº": 125411, + "даÑħ": 125412, + "ĠмоÑĢÑı": 125413, + "æī¾åĪ°": 125414, + "ÙĦÙĪب": 125415, + "èĬĻ": 125416, + "ĠÑĦакÑĤ": 125417, + "æ¯į亲": 125418, + "idlo": 125419, + "ĠStad": 125420, + "Ñįй": 125421, + "ìĽIJìĿ´": 125422, + "à¤ıन": 125423, + "æķ´ä¸ª": 125424, + "Ġfık": 125425, + "ĠÙħات": 125426, + "ÏĢον": 125427, + "Ġ경기ëıĦ": 125428, + "Ġαδ": 125429, + "Ġvzpom": 125430, + "Ġná»ĵi": 125431, + "ĠÙĨÙĤاط": 125432, + "ождение": 125433, + "ĠзалÑĸз": 125434, + "Ġrủi": 125435, + "è¾°": 125436, + ".:.:.:.:.:.:.:.:.:.:.:.:.:.:.:.:": 125437, + "ĠMÃľ": 125438, + "Ġkari": 125439, + "ĠÑģобÑĭ": 125440, + "ìĸ´ì§Ħ": 125441, + "رÙĬس": 125442, + "ubu": 125443, + "ĠØ®ÙĦÙģ": 125444, + "ظٹط": 125445, + "æĿī": 125446, + "ĠæĻ®éĢļ": 125447, + "ĠÙħÙĪاطÙĨØ©": 125448, + "ĠÑģÑĤанÑĥ": 125449, + "Ġê·¸ëħĢìĿĺ": 125450, + "ĠÙĦÙĥرة": 125451, + "Ġosm": 125452, + "ĠÑĥÑĢож": 125453, + "ега": 125454, + "Ġfelse": 125455, + "æĢĿèĢĥ": 125456, + "ãĢĮãģĪ": 125457, + "ĠновиÑħ": 125458, + "à¹IJ": 125459, + "üml": 125460, + "ĠíĶ¼íķ´": 125461, + "ìĿ¼ë°ĺ": 125462, + "Ġtürü": 125463, + "ĠмÑĸÑģÑĤÑĸ": 125464, + "Ġkaždé": 125465, + "ĠÙħسجد": 125466, + "ấc": 125467, + "ĠÙģÚ©ÛĮ": 125468, + "Ġyasal": 125469, + "å°±ç®Ĺ": 125470, + "ĠоблиÑĩÑĩÑı": 125471, + "ĠÙĦدÙĬ": 125472, + "ابات": 125473, + "ĠÑģпаÑģ": 125474, + "êµ°ìļĶ": 125475, + "Ġпад": 125476, + "ĠбÑĢаÑĤ": 125477, + "éĩį大": 125478, + "Ġdüzenlenen": 125479, + "Gün": 125480, + "Ġaplikace": 125481, + "à¸Ńห": 125482, + "Ġçħ": 125483, + "ĠÑģоÑģÑĤоиÑĤ": 125484, + "è¯Ħä»·": 125485, + "ĠDuy": 125486, + "طاÙĤ": 125487, + "ĠпÑĢидеÑĤÑģÑı": 125488, + "Ġtolik": 125489, + "Ġobrov": 125490, + "ĠpÅĻipoj": 125491, + "ĠÄ±ÅŁÄ±": 125492, + "Ú¯ÙĪÛĮ": 125493, + "æľŁå¾ħ": 125494, + "иплом": 125495, + "Ġince": 125496, + "ĠСоб": 125497, + "енÑĮÑİ": 125498, + "è§Ĵèī²": 125499, + "Ġà¸ķร": 125500, + "Ġbại": 125501, + "Ġê°ĢëĬ¥íķľ": 125502, + "ĠblÃŃzk": 125503, + "Ġtách": 125504, + "ĠвидÑĭ": 125505, + "иÑĩна": 125506, + "Ġvyžad": 125507, + "ĠìĨIJìĿĦ": 125508, + "ĠÐĿÑĸмеÑĩ": 125509, + "åŁºäºİ": 125510, + "ĠÐļÑĢи": 125511, + "ĠعزÛĮز": 125512, + "tiler": 125513, + "евÑĸ": 125514, + "Ġmožnosti": 125515, + "باز": 125516, + "ĠìĤ¬ë§Ŀ": 125517, + "ĠzÅĻejmÄĽ": 125518, + "íŤ": 125519, + "Ġürünleri": 125520, + "Ġγλη": 125521, + "аки": 125522, + "ãĤĴéĸĭ": 125523, + "anou": 125524, + "åĽ½ãģ®": 125525, + "ĠyaÅŁanan": 125526, + "ĠÑģевеÑĢ": 125527, + "Ġæ©Ł": 125528, + "มาà¸ģมาย": 125529, + "ĠíijľíĺĦ": 125530, + "รส": 125531, + "ĠضربÙĩ": 125532, + "ĠEvet": 125533, + "æĨ¶": 125534, + "ĠدÙĤÛĮÙĤ": 125535, + "Ġвозникнов": 125536, + "ìľłë¨¸": 125537, + "Ġíijľìĭľ": 125538, + "ÛĮØ´ÙĨ": 125539, + "ãĥĹãĥ©": 125540, + "ÑĤÑİ": 125541, + "ÙĪسÛĮ": 125542, + ")ìĿ´": 125543, + "è¯ģæĺİ": 125544, + "ãģ§ãģįãģ¾ãģĻ": 125545, + "ìĪĺìĿĺ": 125546, + "çĸĨ": 125547, + "ĠÙħÙģÙĩÙĪÙħ": 125548, + "оÑĩаÑĤкÑĥ": 125549, + "ालà¤ķ": 125550, + "æ¡Ĥ": 125551, + "ĠоÑħоÑĢони": 125552, + "ĠارزÛĮابÛĮ": 125553, + "ĠìµľëĮĢ": 125554, + "Ġthoải": 125555, + "ĠЦенÑĤÑĢалÑĮ": 125556, + "ĠçķĻ": 125557, + "à¸Ľà¸£à¸°à¹Ģà¸łà¸Ĺ": 125558, + "æµ·å¤ĸ": 125559, + "ĠÅŀu": 125560, + "íĻľëıĻ": 125561, + "ĠdvÄĽma": 125562, + "istrovstvÃŃ": 125563, + "Ġaracılıģıyla": 125564, + "Ġtrá»Ļn": 125565, + "»:": 125566, + "íĭ±": 125567, + "ĠÙĦÛĮÚ¯": 125568, + ".Ðļ": 125569, + "ĠÙħÙĤاÛĮسÙĩ": 125570, + "ĠвмÑĸ": 125571, + "رÙĪب": 125572, + "ĠاÙĦØ´Ùħ": 125573, + "ĠdennÄĽ": 125574, + "ÑĥÑĩа": 125575, + "åħ¹": 125576, + "Ñīим": 125577, + "ĠíĬ¹íŀĪ": 125578, + "ĠاستاÙĨدارد": 125579, + "à¥Ģध": 125580, + "ãĤ¸ãĤ¢": 125581, + "à¹ĩà¹ĩ": 125582, + "иÑģÑģ": 125583, + "Ġkazanç": 125584, + "ĠzÃŃskal": 125585, + "åĽŀæĿ¥": 125586, + "ĠпÑıÑĤÑĮ": 125587, + "ĠÄijãi": 125588, + "ĠÙĪرد": 125589, + "Ġìķķ": 125590, + "ุà¸Ĺร": 125591, + "åĬ¨çī©": 125592, + "Ġpublik": 125593, + "æĪIJæľ¬": 125594, + "æĪIJåijĺ": 125595, + "ãĤ¤ãĤ¯": 125596, + "شرÙĥØ©": 125597, + "á¿ĨÏĤ": 125598, + "Ġyola": 125599, + "üyoruz": 125600, + "ĠкÑĥÑĢи": 125601, + "ĠпоÑħож": 125602, + "Ġìłľê°Ģ": 125603, + "ियत": 125604, + "ائÙĦØ©": 125605, + "Ġãģ¾": 125606, + "़à¥ĩà¤Ĥ": 125607, + "ÑģÑĮкими": 125608, + "âĢľä½ł": 125609, + "imizde": 125610, + "ìµľìĭł": 125611, + "Ậ": 125612, + "èŁ": 125613, + "à¸Ħรà¸Ńà¸ļ": 125614, + "ãĢĢãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢ": 125615, + "تغ": 125616, + "ĠVÅ¡ech": 125617, + "à¸±à¸Ľà¸Ķาห": 125618, + "Ġatd": 125619, + "воÑİ": 125620, + "Ġyapım": 125621, + "ologické": 125622, + "Ġплен": 125623, + "Ġlazım": 125624, + "rung": 125625, + "ìĦľê´Ģ": 125626, + "Ġjiný": 125627, + "Ġtròn": 125628, + "ĠполÑĸÑĤики": 125629, + "اÙĥÙħ": 125630, + "دÛĮگر": 125631, + "à¥Īà¤Ĥ.Ċ": 125632, + "ĠاÙĩد": 125633, + "Ġãĥį": 125634, + "ĠпÑĢодÑĥкÑĤов": 125635, + "æĤŁ": 125636, + "ĠpÅĻÃŃpadech": 125637, + "ĠzaÄįala": 125638, + "åħ¥ãĤĮ": 125639, + "ĠÑĢÑĸвнÑĸ": 125640, + "æĦŁæĥħ": 125641, + "ĠΧα": 125642, + "죽": 125643, + "ิà¸Īารà¸ĵ": 125644, + "ÂłÐ±": 125645, + "ÑĸÑĹв": 125646, + "بش": 125647, + "çļĦéĹ®é¢ĺ": 125648, + "Ġzastup": 125649, + "볤ìļĶ": 125650, + "ãģ§ãģĻãģŃ": 125651, + "âĢĮداÙĨ": 125652, + "ï¼ĮæĤ¨": 125653, + "ĠuvÄĽdom": 125654, + "ãģ¦ãĤĭ": 125655, + "ìĤ¬ëŀĮ": 125656, + "lun": 125657, + "éĽĨåIJĪ": 125658, + "맹": 125659, + "Ġžid": 125660, + "à¤Ĭ": 125661, + "Ġtrp": 125662, + "лениÑħ": 125663, + "＿__": 125664, + "ÐľÐŀ": 125665, + "å¼ĭ": 125666, + "λÎŃον": 125667, + "ĠÄijòi": 125668, + "ĠкÑĢок": 125669, + "layıcı": 125670, + "ì¶ľìŀ¥ë§ĪìĤ¬ì§Ģ": 125671, + "åijĪ": 125672, + "éľŀ": 125673, + "ĠпоглÑıд": 125674, + "ترÙĥ": 125675, + "ĠتÙģاÙĪت": 125676, + "Ġå®®": 125677, + "ĠدÙĪربÛĮÙĨ": 125678, + "æĶ¾åľ¨": 125679, + "ĠÑģлÑĥÑĩаев": 125680, + "ĠÏħÏĢηÏģε": 125681, + "ë§ŀ": 125682, + "ãģĻãģĻ": 125683, + "ê²łëĭ¤": 125684, + "รายà¸ģาร": 125685, + "ĠÏĢÏģιν": 125686, + "ĠÑģмеÑĪ": 125687, + "å§ī": 125688, + "Ġvýsledky": 125689, + "Ġpotvr": 125690, + "åıijè¡Į": 125691, + "Ġtúi": 125692, + "ĠìĤ¬ëĿ¼": 125693, + "ç«Ļåľ¨": 125694, + "Ġjaký": 125695, + "Ġà¸ļาà¸ĩ": 125696, + "Ġdikkate": 125697, + "ĠدرآÙħد": 125698, + "æİĴåIJį": 125699, + "rálnÃŃ": 125700, + "ê³¼ìĿĺ": 125701, + "ä½µ": 125702, + "олаг": 125703, + "isiyle": 125704, + "Ġæ½": 125705, + "Ġतम": 125706, + "Ġdij": 125707, + "Ġnhánh": 125708, + "ĠRek": 125709, + "设æĸ½": 125710, + "ĠpodmÃŃnek": 125711, + "并ä¸į": 125712, + "кÑĥÑĤ": 125713, + "Ġê³łëł¤": 125714, + "çļĦå£°éŁ³": 125715, + "æĪĺäºī": 125716, + "даÑı": 125717, + "Ġê´Ģìĭ¬": 125718, + "ĠÑĦÑĸнанÑģ": 125719, + "ĠKöy": 125720, + "Ġжал": 125721, + "ĠÑģлÑĥжби": 125722, + "мена": 125723, + "تÙĬار": 125724, + "ĠÑĩемпион": 125725, + "ÏĢιÏĥ": 125726, + "landırma": 125727, + "maktan": 125728, + "Ġ丶": 125729, + "à¹Īà¸Ńส": 125730, + "ĠmÃ¼ÅŁteri": 125731, + "ĠصÙĨد": 125732, + "Ġetmesi": 125733, + "ĠпоÑĢÑĤ": 125734, + "νονÏĦαι": 125735, + "Ġãħĭãħĭ": 125736, + "ĠKAR": 125737, + "Ġuch": 125738, + "ĠØ®ÙĦÙĤ": 125739, + "าษà¸İร": 125740, + "æŃ¡": 125741, + "Ġимени": 125742, + "ãģłãģijãģ©": 125743, + "Ġìĭ¤ìĭľ": 125744, + "ÏĥÏīÏĢ": 125745, + "Ġì£": 125746, + "tÄĽÅ¾": 125747, + "Ġözellikleri": 125748, + "Ġبپ": 125749, + "ĠизобÑĢаж": 125750, + "ÙĬÙħÙĥÙĨ": 125751, + "ĠãĥĶ": 125752, + "ĠÐĶив": 125753, + "ĠØ¥ÙĬ": 125754, + "ÙĥÙĬÙĦ": 125755, + "ĠÅŁik": 125756, + "Ġà¤Ĩà¤ĸ": 125757, + "larınızı": 125758, + "ĠвÑĸдÑĢÑĸз": 125759, + "ĠÑĢобоÑĤа": 125760, + "Ġtarif": 125761, + "ĠاÙĪت": 125762, + "ınma": 125763, + "é£Łãģ¹": 125764, + "ĠuzavÅĻ": 125765, + "룸": 125766, + "çĽijçĿ£": 125767, + "Ġ:ï¼¼": 125768, + "θÏħν": 125769, + "à¸Ķร": 125770, + "alarından": 125771, + "èĩªæĭį": 125772, + "ĠroÄįnÃŃ": 125773, + "ाà¤ĩव": 125774, + "ĠÙĥÙĪر": 125775, + "ĠÏĦαιν": 125776, + "ĠÑĸндив": 125777, + "rve": 125778, + "ĠνεÏĨÏİÏĥειÏĤ": 125779, + "Ġbá»ijn": 125780, + "Ġå¿«": 125781, + "ĠÑģолÑĮ": 125782, + "liÄŁinde": 125783, + "à¤¿à¤¨à¤Ł": 125784, + "ahtar": 125785, + "ĠnebezpeÄį": 125786, + "æĹ¢çĦ¶": 125787, + "ĠëĮĢìłĦ": 125788, + "ĠÙĨÚ¯ÙĩدارÛĮ": 125789, + "ĠzÃŃskat": 125790, + "ĠналиÑĩие": 125791, + "Ġaks": 125792, + "ï¼īãĢĤĊĊ": 125793, + "Ġrodiny": 125794, + "ĠзаÑħÑĸд": 125795, + "å¾®ç¬ij": 125796, + "ÂłÐĶа": 125797, + "radu": 125798, + "īnh": 125799, + "ples": 125800, + "ĠKons": 125801, + "ิà¹Ĥล": 125802, + "ĠاÙĦÙĪص": 125803, + "åIJ¬åĪ°": 125804, + "ĠÑģпоÑĢÑĤив": 125805, + "ĠÑģайÑĤе": 125806, + "Ġاظ": 125807, + "larındaki": 125808, + "Ġtá»ķn": 125809, + "ÐĿÐĨ": 125810, + "Ġnedost": 125811, + "ĠÑĤоÑĢгÑĸв": 125812, + "ĠاÛĮت": 125813, + "Ġاختصاص": 125814, + "ĠÃľy": 125815, + "ĠSadece": 125816, + "ĠÙħخرÙĪØ·": 125817, + "Äģn": 125818, + "çesi": 125819, + "ĠçĬ": 125820, + "ãĤĤãģ£ãģ¨": 125821, + "ĠéŁĵ": 125822, + "èµĸ": 125823, + "ĠполÑĥÑĩениÑı": 125824, + "Ġëĺ": 125825, + "âĢĻÑĹ": 125826, + "bÃŃr": 125827, + "ĠбÑĸблÑĸ": 125828, + "ĠDá»±": 125829, + "женеÑĢ": 125830, + "ç½ijåĪĬ": 125831, + "Ġà¤²à¥ľà¤ķ": 125832, + "ĠÑĥÑĩнÑĸв": 125833, + "èĪ°": 125834, + "ĠÃĸÄŁren": 125835, + "Ġola": 125836, + "Ġ।âĢĿĊĊ": 125837, + "ระà¹Ģà¸ļ": 125838, + "á½²": 125839, + "Ġرز": 125840, + "еи": 125841, + "ÑıÑĩи": 125842, + "ØŃب": 125843, + "æĴ¤": 125844, + "ãģ¾ãģŁãģ¯": 125845, + "бина": 125846, + "ĠγεÏģ": 125847, + "ĠоÑĤноÑģиÑĤÑģÑı": 125848, + "åīįçļĦ": 125849, + "ĠÅ¡Å¥": 125850, + "Ġyılda": 125851, + ":::::|": 125852, + "ustil": 125853, + "اÙĦØ¥": 125854, + "ĠsouÄįasné": 125855, + "ĠÙĨÛĮرÙĪÛĮ": 125856, + "ÑĩеÑģкое": 125857, + "ظÙģ": 125858, + "ĠÙ¾ÛĮØ´ÛĮÙĨÙĩ": 125859, + "ĠعÙģØ´": 125860, + "Ġrostlin": 125861, + "ç½ijåĪĬä¸ĭ载次æķ°": 125862, + "ĠпÑĢигоÑĤовиÑĤÑĮ": 125863, + "ãĥĮ": 125864, + "ĠÙĪÙħع": 125865, + "Ġbecer": 125866, + "ĠãĤ±": 125867, + "ÏĩήÏĤ": 125868, + "оÑģÑĤÑĥп": 125869, + "Ġ밾매": 125870, + "Ñĸйного": 125871, + "Ġhrd": 125872, + "ĠпÑĢепаÑĢаÑĤÑĭ": 125873, + "ĠÙģرض": 125874, + "ĠTyto": 125875, + "ĠкÑĢаÑĹн": 125876, + "Ġزاد": 125877, + "Ġiktidar": 125878, + "ì§ĵ": 125879, + "Ùijر": 125880, + "ÑĢÑıдÑĥ": 125881, + "кÑĸй": 125882, + "âĶ£": 125883, + "Ġкожи": 125884, + "ĠتازÙĩ": 125885, + "obec": 125886, + "inae": 125887, + "Ġvyjád": 125888, + "ĠرÙģتÙĩ": 125889, + "Що": 125890, + "ĠBylo": 125891, + "оÑĤв": 125892, + "ĠденÑĮги": 125893, + "é§Ĩ": 125894, + "ĠмаÑĪин": 125895, + "Ġأج": 125896, + "ì´Īëĵ±íķĻêµIJ": 125897, + "dıģında": 125898, + "баÑģ": 125899, + "Ġæł¹": 125900, + "ÎijÎĿΤ": 125901, + "ÙĴØŃ": 125902, + "Ġjejichž": 125903, + "ìĹIJìĦľìĿĺ": 125904, + "Ġадже": 125905, + "Ġìı": 125906, + "ÏĥοÏħ": 125907, + "etleri": 125908, + "ĠبعدÛĮ": 125909, + "ĠìŀIJëıĻì°¨": 125910, + "ิà¸įà¸į": 125911, + "Ġtisk": 125912, + "ãĥ¼ãĤ¹ãĥĪ": 125913, + "Ġमतलब": 125914, + "ê³Ħíļį": 125915, + "ãĤ¦ãĥĪ": 125916, + "Ġà¹Ģมà¸ķร": 125917, + "Ġopsiyon": 125918, + "ĠÑĢавно": 125919, + "ĠبÛĮÙħÙĩ": 125920, + "Ġ먼ìłĢ": 125921, + "иÑĤелÑĮнÑĭм": 125922, + "ĠнÑĸби": 125923, + "ĠдеÑģÑıÑĤ": 125924, + "ĠÑģиÑĤÑĥаÑĨии": 125925, + "еÑĢÑĪе": 125926, + "ľ": 125927, + "ุà¸ķร": 125928, + "Ġyönetimi": 125929, + "éIJĺ": 125930, + "ĠÙħÛĮتÙĪاÙĨ": 125931, + "ĠزÙĨدÙĩ": 125932, + "ãĥŃãĥ³": 125933, + "ĠKBS": 125934, + "ìĦľë¹ĦìĬ¤": 125935, + "ï»ł": 125936, + "eckého": 125937, + "ĠÙĤابÙĦÛĮت": 125938, + "ãĢĤä»Ĭ": 125939, + "ÃŃnÄĽ": 125940, + "ĠÑģмог": 125941, + "ĠÑģлÑĭÑĪ": 125942, + "ÙĴÙģ": 125943, + "poÅĻád": 125944, + "елÑĮно": 125945, + "ĠείÏĩαν": 125946, + "-ÐŁÐµÑĤеÑĢб": 125947, + "ĠChiến": 125948, + "éry": 125949, + "ĠÑĸнÑģÑĤиÑĤÑĥÑĤ": 125950, + "ç»Ĩèĥŀ": 125951, + "ÑĭÑŁN": 125952, + "Ġvua": 125953, + "Ġà¤ħश": 125954, + "ÑĢоÑģÑĤо": 125955, + "ĠvůÄįi": 125956, + "ë¿IJ": 125957, + "Ġliá»ĩt": 125958, + "Ġíķµ": 125959, + "ĠاÙģر": 125960, + "ĠTeknik": 125961, + "Ġroli": 125962, + "ĠпопÑĭÑĤ": 125963, + "аÑĤкÑĸв": 125964, + "Ġüniversit": 125965, + "аÑĤоÑĢÑĭ": 125966, + "ÑİÑīиÑħÑģÑı": 125967, + "Ġتض": 125968, + "лÑİÑĩаеÑĤÑģÑı": 125969, + "Ġíĸīë³µ": 125970, + "Ġayrıntılı": 125971, + "ĠкиÑĢп": 125972, + "æĭ¼": 125973, + "ëģĶ": 125974, + "лаÑĤа": 125975, + "Ġkhoán": 125976, + "Ġhâlâ": 125977, + "ÏĥÏħ": 125978, + "оглаÑģ": 125979, + "æİ¥çĿĢ": 125980, + "éĿ©åij½": 125981, + "ĠpÅĻeb": 125982, + "à¹Ģà¸īล": 125983, + "ĠاÙĦÙħÙĦÙĦÛĮ": 125984, + "åłĨ": 125985, + "íıIJ": 125986, + "à¸ķลà¸Ńà¸Ķ": 125987, + "°С": 125988, + "ìĤ¬ëŀij": 125989, + "Ġгиб": 125990, + "ë²Ī째": 125991, + "æĶ¹åıĺ": 125992, + "表çİ°": 125993, + "иÑĩеÑģким": 125994, + "สมà¹Ģà¸Ķ": 125995, + "å±ħæ°ij": 125996, + "ÂĽ": 125997, + "ĠìķĦìĿ´ëĶĶ": 125998, + "ĠмеждÑĥнаÑĢод": 125999, + "Ġyem": 126000, + "Ġmül": 126001, + "ĠاÛĮست": 126002, + "Ġãĥ´": 126003, + "ัà¸Ļà¹Ħà¸Ķ": 126004, + "à¥Ģण": 126005, + "åħ¶å®ŀ": 126006, + "Ġgelenek": 126007, + "ë¶ģëıĦ": 126008, + "à¹īาà¸ķ": 126009, + "Ġìī¬": 126010, + "ĠÏĢÎŃ": 126011, + "ĠÙĥاÙħÙĦ": 126012, + "ĠتعÙħÛĮر": 126013, + "訴": 126014, + "ë¹Ļ": 126015, + "iyim": 126016, + "å°¿": 126017, + "éĤ£æł·": 126018, + "êµŃìĿĺ": 126019, + "ãģĹãģ¦ãģĬãĤĬ": 126020, + "Ġniž": 126021, + "Ġκον": 126022, + "à¹Īาà¸Ń": 126023, + "Ġγε": 126024, + "ĠСевеÑĢ": 126025, + "ediálnÃŃ": 126026, + "ãģŁãģ¡ãģ®": 126027, + "mayacak": 126028, + "ÑĻ": 126029, + "ĠÑĥгл": 126030, + "Ġkapas": 126031, + "ÑĥвалиÑģÑı": 126032, + "ĠмеÑģÑıÑĨа": 126033, + "ữu": 126034, + "ิลล": 126035, + "ãĤĪãĤĬãĤĤ": 126036, + "à¥ĩण": 126037, + "Ġ客": 126038, + "ĠdeÄŁerli": 126039, + "ÙĪاز": 126040, + "ีà¸Ńย": 126041, + "ĠåıĪ": 126042, + "Ġà¸Ķร": 126043, + "ĠÙĨاب": 126044, + "ĠتÙĦÙĪÛĮزÛĮÙĪÙĨ": 126045, + "Ġolanlar": 126046, + "ä¼ĺç§Ģ": 126047, + "ÙĥاÙĦ": 126048, + "ĠдеÑģÑıÑĤи": 126049, + "mán": 126050, + "ĠÑĢанÑĮ": 126051, + "Ġìłľì¶ľ": 126052, + "è³¢": 126053, + "або": 126054, + "Ġtechnik": 126055, + "ĠKiá»ĥm": 126056, + "teki": 126057, + "á¹": 126058, + "ĠmnÄĽ": 126059, + "Ġê³µê°Ħ": 126060, + "ĠMek": 126061, + "ĠاعتÙħاد": 126062, + "à¹Įà¹Ħà¸Ķ": 126063, + "εÏģÏĮ": 126064, + "ĠÑĥдаÑĢ": 126065, + "оÑĩÑĮ": 126066, + "æ¦Ĥ念": 126067, + "ÑĢал": 126068, + "алÑĮнÑĭми": 126069, + "à¥ģरस": 126070, + "ráci": 126071, + "ĠÙĤÙĪÙĦ": 126072, + "Ġदव": 126073, + "ĠпÑĢавда": 126074, + "Ġå¿ħ": 126075, + "Ġdosud": 126076, + "нÑĥÑĤÑĮÑģÑı": 126077, + "NÄĥm": 126078, + "à¸ĺà¸Ļ": 126079, + "Ġdokun": 126080, + "Ġåľ¨çº¿": 126081, + "ูà¹Ħ": 126082, + "ụy": 126083, + "ĠновÑĭÑħ": 126084, + "Ġmezun": 126085, + "ĠCần": 126086, + "à¸ģารà¸ŀ": 126087, + "ĠìĺĪìłķ": 126088, + "Ïĥή": 126089, + "à¹Īà¸Ļà¹Ģà¸ģม": 126090, + "ĠÙĪاÙĦس": 126091, + "ãĥ³ãĥĨãĤ£": 126092, + "çľĭè§ģ": 126093, + "ĠساÙĦÙħ": 126094, + "ĠбагаÑĤÑĮоÑħ": 126095, + "ĠÄijÃłi": 126096, + "ĠدستÛĮ": 126097, + "à¸ŀà¸Ń": 126098, + "епÑĤи": 126099, + "ĠìłĦíĻĶ": 126100, + "æĻĤãģ«": 126101, + "ĠSeznam": 126102, + "мÑĸнÑĥ": 126103, + ";?#": 126104, + "à¥Ģसर": 126105, + "ĠÚĨÛĮست": 126106, + "νοια": 126107, + "ัà¸Ļà¸Ń": 126108, + "Ġà¸Ħำ": 126109, + "Ġë³´íĺ¸": 126110, + "Ġiddia": 126111, + "Ġβιβ": 126112, + "é«ĺä¸Ń": 126113, + "Ù¨": 126114, + "ÐĴаж": 126115, + "ĠиÑģполн": 126116, + "ÑĪÑĤов": 126117, + "ĠTaÅŁ": 126118, + "ìĽħ": 126119, + "åĬ¹": 126120, + "Ġåıĥ": 126121, + "Ġprostoru": 126122, + "ĠÑģпад": 126123, + "еÑĢина": 126124, + "ĠpÅĻeklad": 126125, + "Å¡ov": 126126, + "ĠÙģÙĩÙħ": 126127, + "æĬij": 126128, + "Ġابتدا": 126129, + "ãĤĴãģĬ": 126130, + "likler": 126131, + "ĠÙħاÙĥ": 126132, + "Ġkonut": 126133, + "ĠداÙĨشجÙĪÛĮ": 126134, + "ĠопÑĤим": 126135, + "ĠбÑĥма": 126136, + "ĠлÑİдÑıм": 126137, + "ĠлÑĸка": 126138, + "ĠÑĢозповÑĸд": 126139, + "nesenÃŃ": 126140, + "Ġà¸łà¸²à¸ŀ": 126141, + "иÑĩний": 126142, + "اطÙĦ": 126143, + "ÑİÑīими": 126144, + "ãģıãģ¨": 126145, + "éŃ¯": 126146, + "ĠجÙĨسÛĮ": 126147, + "ÐĺТ": 126148, + "रल": 126149, + "ĠÚ©ÙĪدک": 126150, + "олиÑĤ": 126151, + "ĠÑģÑĤÑĢÑĥкÑĤÑĥÑĢ": 126152, + "vekili": 126153, + "Ġबय": 126154, + "ĠgelmiÅŁ": 126155, + "िरफ": 126156, + "ĠнайкÑĢа": 126157, + "ĠÐĶжон": 126158, + "ĠãĥĹãĥŃ": 126159, + "ĠyaÅŁlı": 126160, + "ĠkarÄ±ÅŁtır": 126161, + "ĠvÄĽtÅ¡inou": 126162, + "Ġvazgeç": 126163, + "à¹īาà¸Ħ": 126164, + "lendirme": 126165, + "Ġç¨ĭ": 126166, + "说è¯Ŀ": 126167, + "ĠíķĦìļĶíķľ": 126168, + "aÅĻilo": 126169, + "ĠležÃŃ": 126170, + "ĠAmerikan": 126171, + "ãĤĦãģĻ": 126172, + "vajÃŃcÃŃ": 126173, + "ÐĿЯ": 126174, + "ĠìĹĦë§Ī": 126175, + "Ġåĥ": 126176, + "rál": 126177, + "Ġçay": 126178, + "tuÄŁ": 126179, + "ุà¸įาà¸ķ": 126180, + "ĠÑģлив": 126181, + "νοÏħ": 126182, + "ĠOv": 126183, + "ĠCHP": 126184, + "ĠZemÄĽ": 126185, + "ĠÄįeský": 126186, + "ĠThánh": 126187, + "иÑĤелÑĮноÑģÑĤÑĮ": 126188, + "æĦıä¹ī": 126189, + "à¥įरमण": 126190, + "ĠдиамеÑĤ": 126191, + "Ġklin": 126192, + "ĠکرÛĮ": 126193, + "ãģ§ãģ¯ãģªãģı": 126194, + "飯åºĹ": 126195, + "Ġkênh": 126196, + "ĠÑĢанÑĮÑĪе": 126197, + "ãĤĴãģĹãģŁ": 126198, + "ĠпÑĢибоÑĢ": 126199, + "Ġà¤ĸतर": 126200, + "Ġyu": 126201, + "é§IJ": 126202, + "ĠÑĢабо": 126203, + "ĠÐ¡ÐłÐ¡Ðł": 126204, + "èĬ¬": 126205, + "žila": 126206, + "еÑĢÑĤа": 126207, + "иÑģÑĤÑĢа": 126208, + "Ġкниги": 126209, + "ĠFrancie": 126210, + "ĠÚĺاپ": 126211, + "ĠÎļοÏħ": 126212, + "ัวà¹Ģà¸Ńà¸ĩ": 126213, + "Ġlắng": 126214, + "Ġнами": 126215, + "Ġподой": 126216, + "дÑĢом": 126217, + "obus": 126218, + "ÐĴÑĸн": 126219, + "Ġstalo": 126220, + "Ġà¤ıà¤ľ": 126221, + "ĠLinh": 126222, + "ebiliriz": 126223, + "ĠзавÑĤÑĢа": 126224, + "μεÏģο": 126225, + "ĠÎŃν": 126226, + "ÑıÑĤно": 126227, + "ĠдоÑĢож": 126228, + "åıĤçħ§": 126229, + "Ïĥιο": 126230, + "à¹īà¹Ģà¸ģ": 126231, + "aných": 126232, + "ç·ł": 126233, + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ": 126234, + "åĬĽçļĦ": 126235, + "ĠSır": 126236, + "Ġì§ĢëıĦ": 126237, + "ç·Ĭ": 126238, + "ĠpoÄįtu": 126239, + "ï¼Įä¸İ": 126240, + "ä¸ĸç´Ģ": 126241, + "емого": 126242, + "Ġhusus": 126243, + "Ġölçüde": 126244, + "Ġtrục": 126245, + "à¸Ľà¸¥à¸Ńà¸Ķà¸ł": 126246, + "ÂłpÅĻÃŃ": 126247, + "ĠBölgesi": 126248, + "мом": 126249, + "ãģ«ãģ¦": 126250, + "Ġ쪽ì§Ģ": 126251, + "ÄĽtÅ¡": 126252, + "ĠìĦ±ê³µ": 126253, + "रत": 126254, + "urdu": 126255, + "ĠìĽĢì§ģ": 126256, + "ÑŁÐŃ": 126257, + "nÃŃkem": 126258, + "ĠskuteÄįnosti": 126259, + "ĠдаÑĤ": 126260, + "neum": 126261, + "ĠÑĤаблеÑĤ": 126262, + "jvu": 126263, + "Ġsedm": 126264, + "سÙĬØ©": 126265, + "ĠкоÑĢоб": 126266, + "emmel": 126267, + "ãģ¤ãģij": 126268, + "é¦Ļèķī": 126269, + "ĠشخصÛĮت": 126270, + "ä¸ĬäºĨ": 126271, + "ÙĪرا": 126272, + "ĠаÑĤмоÑģ": 126273, + "Ġлей": 126274, + "Ġzprav": 126275, + "Ġëķħ": 126276, + "ูà¸Ĺ": 126277, + "Ġاسر": 126278, + "ĠAydın": 126279, + "ĠعÙħÙĦÙĬØ©": 126280, + "ĠдÑĸÑĶ": 126281, + "Ġdök": 126282, + "Ġफल": 126283, + "ĠìĤ¬ëŀĮëĵ¤ìĿ´": 126284, + "ĠнаÑĤÑĥÑĢалÑĮ": 126285, + "æŁľ": 126286, + "温度": 126287, + "Ġkles": 126288, + "ĠинвеÑģÑĤи": 126289, + "süz": 126290, + "æĴ°": 126291, + "ĠãĤ¢ãĥ«": 126292, + "ĠèĴ": 126293, + "адки": 126294, + "ĠklÃŃÄį": 126295, + "Ïĩεί": 126296, + "ĠThiết": 126297, + "ĠسرÛĮع": 126298, + "ĠÏĢεÏģιοÏĩή": 126299, + "ÙĪÙĤÙģ": 126300, + "ÏģÏīÏĥη": 126301, + "ĠسÙĦاÙħت": 126302, + "ëĵ¤ëıĦ": 126303, + "ĠveÅĻejné": 126304, + "Ġvitam": 126305, + "ĠبازÛĮگر": 126306, + "ĠÑĢеÑĨепÑĤ": 126307, + "ĠìľĦíķ´ìĦľ": 126308, + "ĠØ£Ùĥبر": 126309, + "Ġküt": 126310, + "민주": 126311, + "Ġtéž": 126312, + "Ġå¼ķ": 126313, + "ÑĩаÑģно": 126314, + "çļĦåľ°": 126315, + "Ġarchitekt": 126316, + "ĠбакÑĤеÑĢ": 126317, + "Ġãģį": 126318, + "ĠодеÑĢж": 126319, + "ĠتجارÛĮ": 126320, + "éĿĪ": 126321, + "Ġrecep": 126322, + "驶": 126323, + "ĠدÙĩÙĩ": 126324, + "è²Į": 126325, + "çµIJå©ļ": 126326, + "ılıç": 126327, + "ãģĭãĤīãģ¯": 126328, + "å¿ĥéĩĮ": 126329, + "æĬķè³ĩ": 126330, + "è²Ŀ": 126331, + "ĠкÑĥлÑĮÑĤÑĥÑĢÑĭ": 126332, + "Ġå°ij": 126333, + "à¹ģà¸ŀร": 126334, + "γκÏĮ": 126335, + "arım": 126336, + "ĠاساسÛĮ": 126337, + "ĠposlednÃŃch": 126338, + "ĠÙħÙħÙĨ": 126339, + "ĠпозиÑĤив": 126340, + "ìł¤": 126341, + "ÑĥвавÑģÑı": 126342, + "Ġجزئ": 126343, + "ìĿ´ìŀIJ": 126344, + "ĠинÑģÑĤÑĢÑĥк": 126345, + "Ġηλεκ": 126346, + "Ġdemir": 126347, + "ä¸ŃæĸĩåŃĹå¹ķ": 126348, + "ĠعاشÙĤ": 126349, + "ĠباÙĦÙĤ": 126350, + "Ġmaz": 126351, + "άνι": 126352, + "ĠdÃ¼ÄŁ": 126353, + "ĠκÏģα": 126354, + "ĠбÑĥдÑĤо": 126355, + "ç¦ıåĪ©": 126356, + "ĠпÑĢедназнаÑĩ": 126357, + "ÙħÙĦØ©": 126358, + "ĠбÑĥдинкÑĥ": 126359, + "Å¥an": 126360, + "íķĢ": 126361, + "ç´¹ä»ĭ": 126362, + "کز": 126363, + "ĠкаÑĦед": 126364, + "ãģ«è¦ĭ": 126365, + "าà¸ķรà¸IJาà¸Ļ": 126366, + "ë¡ľëĬĶ": 126367, + "ivÄĽ": 126368, + "èĥ½æºIJ": 126369, + "ï¼Įåħ¨": 126370, + "ĠÑĥдив": 126371, + "Ġë§ĮëĤĺ": 126372, + "ÐĴÐIJ": 126373, + "ĠGür": 126374, + "ĠдÑĢÑĥгим": 126375, + "ÏĥÏį": 126376, + "ĠoÄŁlu": 126377, + "Ġê°Ģê¹Į": 126378, + "ĠзнаÑĩиÑĤелÑĮно": 126379, + "озÑĸ": 126380, + "Ġmá»±c": 126381, + "ĠBeÅŁ": 126382, + "Ġjezd": 126383, + "ávÄĽ": 126384, + "ÏĦηÏĥε": 126385, + "ãģ¦ãģĦãģªãģĦ": 126386, + "ĠСвÑıÑĤ": 126387, + "Ġमश": 126388, + "ĠΤοÏħ": 126389, + "声ãĤĴ": 126390, + "ĠÑģамое": 126391, + "ĠåĮº": 126392, + "ĠìĤ¬ëŀĮìĿĢ": 126393, + "ĠÙħÙĦت": 126394, + "Ġjoker": 126395, + "Ġneob": 126396, + "ĠÑĤака": 126397, + "ĠÙĩÙģت": 126398, + "Ġδεδο": 126399, + "ĠзаÑħоп": 126400, + "ĠاÙĦÙħخت": 126401, + "езда": 126402, + "Ġíķľë²Ī": 126403, + "ĠعاÙħØ©": 126404, + "Ġdostate": 126405, + "Ġplav": 126406, + "楽ãģĹ": 126407, + ".;.;.;.;": 126408, + "ваÑĶ": 126409, + "Ġbụi": 126410, + "ĠÄijỡ": 126411, + "ĠmyslÃŃ": 126412, + "ĠÙĨار": 126413, + "Ġnút": 126414, + "Ġмала": 126415, + "ΤΡ": 126416, + "ĠاÙĦرÙħزÙĬØ©": 126417, + "ladım": 126418, + "ä¸Ģç·Ĵ": 126419, + "ĠiÅŁÃ§": 126420, + "livé": 126421, + "르ê²Į": 126422, + "аннаÑı": 126423, + "ظËĨØ·": 126424, + "Ġdừng": 126425, + "ÙĦÙĥتر": 126426, + "çŃĶæ¡Ī": 126427, + "ĠÙħÙĪÙĤعÛĮت": 126428, + "ĠÑĸнозем": 126429, + "ĠиÑģÑĩ": 126430, + "ĠнепÑĢавилÑĮ": 126431, + "bakan": 126432, + "ĠçīĪ": 126433, + "еннÑİ": 126434, + "à¸ĩà¹Ģศ": 126435, + "à¸Ħวามà¸Ħ": 126436, + "%.Ċ": 126437, + "à¹Īà¹Ģà¸Ľ": 126438, + "ĠآبÛĮ": 126439, + "Ġstáty": 126440, + "ĠترتÛĮب": 126441, + "Äįemž": 126442, + "Ġé¹": 126443, + "ĠÙģاÙĦ": 126444, + "Ġbelirlen": 126445, + "ĠâĨĺ": 126446, + "èĩ³å°ij": 126447, + "ĠBunlar": 126448, + "Ġä¸ĵ": 126449, + "ĠÙħØŃاس": 126450, + "ĠìĦľë²Ħ": 126451, + "Ġcanh": 126452, + "ĠпÑĢоÑĤÑıж": 126453, + "ĠнÑĸмеÑĨÑĮ": 126454, + "à¥Īà¤łà¤ķ": 126455, + "ëĭī": 126456, + "ĠнанеÑģ": 126457, + "ĠвозÑĢаÑģÑĤа": 126458, + "Ġ[âĢ¦]Ċ": 126459, + ".à¸ŀ": 126460, + "ิศาสà¸ķร": 126461, + "çģ½": 126462, + "ê°ĻìĿĢ": 126463, + "ลà¸ĩà¸Ĺ": 126464, + "ãĤ±ãĥ¼ãĤ¹": 126465, + "ĠãĤ¢ãĤ¤": 126466, + "ÑģÑİ": 126467, + "ĠÙĦر": 126468, + "ãģĭãģ£ãģ¦": 126469, + "Ġ기ë°ĺ": 126470, + "Ġ!:": 126471, + "ĠÑģÑĬ": 126472, + "ĠØ´ÙĨاسÛĮ": 126473, + "ĠìķĦ침": 126474, + "Ġعباس": 126475, + "Ġà¸ķà¸Ńà¸Ļ": 126476, + "ĠмеÑĤалли": 126477, + "ÑĪила": 126478, + "Ġpodrob": 126479, + "ÑĸÑģно": 126480, + "Ġ赤": 126481, + "ciler": 126482, + "ozem": 126483, + "ĠоÑģновнÑĭÑħ": 126484, + "Âłà¤ķ": 126485, + "à¸ĸà¸Ļà¸Ļ": 126486, + "анÑĤаж": 126487, + "ĠDÃŃky": 126488, + "ĠگذارÛĮ": 126489, + "æľºä¼ļ": 126490, + "οÏħλίοÏħ": 126491, + "оÑĩек": 126492, + "ĠнапиÑĤ": 126493, + "ĠبÛĮشترÛĮ": 126494, + "ä¾į": 126495, + "ĠاÙĦÙħÙħ": 126496, + "ÙĪزÙĬع": 126497, + "Ġgözlem": 126498, + "è°ĥæķ´": 126499, + "Âłmiles": 126500, + "Ġkoc": 126501, + "ัà¸įห": 126502, + "æ³³": 126503, + "ĠÎijγγ": 126504, + "ĠÙĨÙħاز": 126505, + "ุà¸Ĺ": 126506, + "ãĥıãĤ¤": 126507, + "Ġthù": 126508, + "кÑĥлÑı": 126509, + "ĠпÑĥÑĤем": 126510, + "èĩºçģ£": 126511, + "Ġvergi": 126512, + "åł´åIJĪãģ¯": 126513, + "ĠÑĤÑĢÑĮоÑħ": 126514, + "Ġë³´ë©´": 126515, + "âĸ²": 126516, + "Ïħγ": 126517, + "ĠдоÑĤÑĢим": 126518, + "æľµ": 126519, + "ĠumÄĽnÃŃ": 126520, + "èī¯ãģĦ": 126521, + "Âłà¸Ļาà¸ĩ": 126522, + "ÐİÑĭÑŁN": 126523, + "ä¸ī个": 126524, + "ียรà¸ķ": 126525, + "ï¼ĮåIJĮæŶ": 126526, + "ĠÑĢозÑĢаÑħÑĥн": 126527, + "ĠDers": 126528, + "ãģªãģ®": 126529, + "Ġ그를": 126530, + "dikleri": 126531, + "Ġhayata": 126532, + "è§ĦèĮĥ": 126533, + "ç»ĵåIJĪ": 126534, + "Ġscé": 126535, + "ĠcÆ¡m": 126536, + "åѸéĻ¢": 126537, + "ĠÐĦв": 126538, + "ĠÄįlánek": 126539, + "ĠдоÑģÑĤиг": 126540, + "ाà¤ĩस": 126541, + "εÏħÏĥη": 126542, + "éģ©çĶ¨": 126543, + "Ïĥον": 126544, + "ılmaktadır": 126545, + "ëªħìĿĦ": 126546, + "ıb": 126547, + "ĠstarÅ¡ÃŃ": 126548, + "ĠchÃŃn": 126549, + "ä¸Ģ个人": 126550, + "ĠFrantiÅ¡ek": 126551, + "nÄĽji": 126552, + "ﻨ": 126553, + "ĠÙĦÙĦد": 126554, + "Ġpokoj": 126555, + "Ġjih": 126556, + "ãĢįãĢĤ": 126557, + "ĠعبداÙĦ": 126558, + "ãĤĵãģ§ãģĦãĤĭ": 126559, + "ĠмоделÑĮ": 126560, + "ĠteÅŁkil": 126561, + "ĠÄĮer": 126562, + "à¹Ģà¸Ķà¸Ńร": 126563, + "'na": 126564, + "λογή": 126565, + "Ġkola": 126566, + "ãĥĢãĥ¼": 126567, + "иÑĤелем": 126568, + "ĠÏĥÏħνο": 126569, + "ĠKurum": 126570, + "Ġsnadno": 126571, + "ĠاÙĦÙĤرآÙĨ": 126572, + "ĠVá»ģ": 126573, + "é«ĺãģĦ": 126574, + "Ġyıldız": 126575, + "Ġbirisi": 126576, + "Ġkhúc": 126577, + "ÙĪÛĮÙĦ": 126578, + "æľĢä½³": 126579, + "Ġสาà¸Ĥ": 126580, + "ĠÐŁÐ¾Ðº": 126581, + "âīł": 126582, + "à¹Ĥà¸Ľà¸£à¹ģà¸ģรม": 126583, + "à¥įययन": 126584, + "èij¡": 126585, + "ĠnovÄĽ": 126586, + "ayıp": 126587, + "ĠSingap": 126588, + "è°ĵ": 126589, + "ãĤ¶ãĤ¤ãĥ³": 126590, + "ĠновÑĭе": 126591, + "Ġhảo": 126592, + "ĠèŤ": 126593, + "ãĥ³ãĥĸ": 126594, + "ÂłĊĊ": 126595, + "θεια": 126596, + "Ġпопада": 126597, + "ĠëĶĶìŀIJìĿ¸": 126598, + "ĠداشتÙĨد": 126599, + "ĠØ´ÙĨاختÙĩ": 126600, + "ÏĥμαÏĦα": 126601, + "å¹³æĸ¹åħ¬éĩĮ": 126602, + "Ġgöl": 126603, + "екоÑĤоÑĢ": 126604, + "Ġmálo": 126605, + "ĠاجازÙĩ": 126606, + "کاراÙĨ": 126607, + "ĠпÑĸдпÑĢиÑĶмÑģÑĤв": 126608, + "ä¸īå¹´": 126609, + "ĠسÙģÛĮد": 126610, + "ĠμÎŃÏģοÏĤ": 126611, + "ÐĻÐĻ": 126612, + "ĠhÆ°": 126613, + "سÙĪب": 126614, + "ĠÙĦذا": 126615, + "Ġnemovit": 126616, + "ĠdÃŃv": 126617, + "Ä°s": 126618, + "¶¶": 126619, + "ĠphÆ°á»Ŀng": 126620, + "ĠÙĨØŃÙĪÙĩ": 126621, + "Ðĭ": 126622, + "Ġzbyt": 126623, + "edii": 126624, + "nech": 126625, + "ĠадмÑĸнÑĸÑģÑĤÑĢаÑĤив": 126626, + "ĠnevÄĽ": 126627, + "Ġож": 126628, + "ĠÄIJó": 126629, + "à¸Ľà¸£à¸°à¸§": 126630, + "Ġvhodné": 126631, + "ĠumÄĽl": 126632, + "ĠÑĢазлиÑĩнÑĭе": 126633, + "ĠpÅĻiroz": 126634, + "ĠبخشÛĮ": 126635, + "ãģ®å¤§": 126636, + "ĠاÙĦÙĥÙĩ": 126637, + "ecká": 126638, + "Ġzorunlu": 126639, + "ĠÐľÐ¸ÐºÐ¾Ð»Ð°": 126640, + "Ġamel": 126641, + "ковÑĭе": 126642, + "::::/": 126643, + "ä¸įåIJĮçļĦ": 126644, + "ĠÙĪÙĥاÙĨت": 126645, + "à¸Ńà¸Ń": 126646, + "lásil": 126647, + "ĠпÑĢедполаг": 126648, + "ï½±": 126649, + "Ġνε": 126650, + "ĠновÑĭй": 126651, + "Ġìĺģíĸ¥ìĿĦ": 126652, + "Ġê°Ģì§Ħ": 126653, + "åĥħ": 126654, + "YD": 126655, + "Ġباغ": 126656, + "Ġشکست": 126657, + "Ġgüney": 126658, + "иÑģÑĮ": 126659, + "ãģĭãģªãģĦ": 126660, + "ĠTòa": 126661, + "ĠگردÛĮد": 126662, + "ØŃÙĦ": 126663, + "luvÃŃ": 126664, + "véd": 126665, + "Ġìĺ·": 126666, + "ĠεÏĢα": 126667, + "ĠÑĤиÑģÑıÑĩ": 126668, + "Ġê½ĥ": 126669, + "ĠPUS": 126670, + "ĠдÑĥмкÑĥ": 126671, + "ĠâĢĿĊ": 126672, + "ĠìĬ¤íı¬ì¸ł": 126673, + "ÙĩÙĩ": 126674, + "Ġgắng": 126675, + "à¸´à¸łà¸²à¸ŀ": 126676, + "éĩĮéĿ¢": 126677, + "brıs": 126678, + "Ġzáb": 126679, + "καÏĤ": 126680, + "ĠåıĮ线": 126681, + "ลล": 126682, + "ĠÄIJÃłi": 126683, + "åŃ¸æł¡": 126684, + "ĠÑĢаÑģпÑĢед": 126685, + "ĠÑģÑĤанеÑĤ": 126686, + "Ġлак": 126687, + "Ġподк": 126688, + "Ġgören": 126689, + "ë¥´ê³ł": 126690, + "ĠÑĦÑĢÑĥкÑĤ": 126691, + "íĵ¨íĦ°": 126692, + "ãģĻãĤĮãģ°": 126693, + "ãĤĴä½ľ": 126694, + "à¸Ńà¸Ńà¸ģà¹ģà¸ļà¸ļ": 126695, + "Ġkulak": 126696, + "ĠíĶĮëłĪìĿ´": 126697, + "ĠØŃدÙĬØ«": 126698, + "ãģĨãĤĵ": 126699, + "ĠмÑĸк": 126700, + "à¤ĩसà¤ķ": 126701, + "ĠÑĥÑĤоÑĩ": 126702, + "ĠÙĥØ«ÙĬر": 126703, + "ĠYine": 126704, + "ัวหà¸Ļ": 126705, + "нÑĸÑĹ": 126706, + "åį¢": 126707, + "ÑĥÑģлов": 126708, + "ìĽĮíģ¬": 126709, + "Ġà¤ħà¤ĸ": 126710, + "ĠÑĨÑĸка": 126711, + "ìĦłìĿĦ": 126712, + "Ġأر": 126713, + "галÑĤеÑĢ": 126714, + "anglicky": 126715, + "ĠÑģоÑģÑĥд": 126716, + "ĠÑĥÑıв": 126717, + "ĠпÑĢодÑĥкÑĨÑĸÑĹ": 126718, + "Ġchua": 126719, + "Ġdán": 126720, + "ामà¤Ĺ": 126721, + "ئت": 126722, + "ĠФед": 126723, + "Ġhrom": 126724, + "íķ´ë³´": 126725, + "ĠØ¢ÙĨÙĦاÛĮÙĨ": 126726, + "-пÑĢав": 126727, + "Ġì¤ijìļĶíķľ": 126728, + "ĠвкÑĥ": 126729, + "Ġ大éĺª": 126730, + "Ġterk": 126731, + "ĠподÑĸб": 126732, + "ĠвÑĸдвÑĸд": 126733, + "à¥Įà¤Ł": 126734, + "è³£": 126735, + "ĠبتÙĨ": 126736, + "ĠبعضÛĮ": 126737, + "ãģªãģĬ": 126738, + "ä»ĸåĢij": 126739, + "Ġtavsiye": 126740, + "ĠMısır": 126741, + "Ġإذ": 126742, + "ĠæIJ": 126743, + "íķĺëĤĺ": 126744, + "ĠÙĪØ®": 126745, + "ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ": 126746, + "Ġtakový": 126747, + "Ġबनन": 126748, + "ĠзÑĢениÑı": 126749, + "ĠÙĪÙģÙĤ": 126750, + "ë¹ĦìķĦ": 126751, + "ĠпоможеÑĤ": 126752, + "åĮĹå¸Ĥ": 126753, + "dıkları": 126754, + "Ġéĵģ": 126755, + "ĠaktuálnÃŃ": 126756, + "Ġвв": 126757, + "ãĤĤãģªãģĦ": 126758, + "íĨµìĭł": 126759, + "ÏĦαÏĥη": 126760, + "ĠìĥģëĮĢ": 126761, + "Ġæł¡": 126762, + "ãĢĤéĤ£": 126763, + "ĠرÙĪسÛĮÙĩ": 126764, + "Ġtelevizyon": 126765, + "å¹´é¾Ħ": 126766, + "ĠÐijоÑĢиÑģ": 126767, + "리ìĸ´": 126768, + "ĠzveÅĻej": 126769, + "жно": 126770, + "ĠÐŀÑģÑĤ": 126771, + "ĠмÑĥжÑĩин": 126772, + "ĠyeÅŁil": 126773, + "ĠСовеÑĤ": 126774, + "ĠBÃĸL": 126775, + "ĠТакож": 126776, + "Ġobnov": 126777, + "ĠпÑĢинадлеж": 126778, + "ĠвиÑģнов": 126779, + "Ø·Ùħ": 126780, + "ĠìĹĨìĸ´": 126781, + "ĠMùa": 126782, + "ä½ıå®ħ": 126783, + "åĮ»åѦ": 126784, + "ĠнаÑĢез": 126785, + "ãĥĭï¾Ĩ": 126786, + "ĠMặt": 126787, + "Ġvuông": 126788, + "ä¸ĢåĮº": 126789, + "ĠẢnh": 126790, + "ÑĢиÑĦ": 126791, + "ä¿ĿéĻ©": 126792, + "ĠÏĩÏģήÏĥη": 126793, + "åIJĮæĦı": 126794, + "Ġæīĵ": 126795, + "etÄĽ": 126796, + "ĠÙĪØ°ÙĦÙĥ": 126797, + "ĠÑĤиж": 126798, + "ĠÎŁÎ¹ÎºÎ¿": 126799, + "ĠмÑĸÑģÑĨÑĸ": 126800, + "ĠÑĢебенок": 126801, + "ĠÅŀah": 126802, + "عÙĦÙĪÙħ": 126803, + "ladıģ": 126804, + "Ġgiden": 126805, + "ливоÑģÑĤÑĸ": 126806, + "ÙĴس": 126807, + "ĠTHB": 126808, + "Ġmeslek": 126809, + "ÂłÐĿе": 126810, + "μÏĨÏīνα": 126811, + "ĠÙĪاج": 126812, + "наÑģлÑĸд": 126813, + "æĺŁæľŁ": 126814, + "ÐĶж": 126815, + "ĠÑĢабоÑĤаеÑĤ": 126816, + "Ġsánh": 126817, + "ìļ°ë¦¬": 126818, + "ĠابÙĪ": 126819, + "çļĦæĥħ": 126820, + "ĠìĻ¸êµŃ": 126821, + "Ġkabil": 126822, + "еÑĢвÑĭе": 126823, + "ĠgiÃłu": 126824, + "Ġtá»ı": 126825, + "ÂłÐij": 126826, + "å®Įæķ´": 126827, + "Ġmužů": 126828, + "ĠpomÄĽrnÄĽ": 126829, + "ĠÙħخصÙĪص": 126830, + "ĠÐĶем": 126831, + "ãĤıãĤĮãĤĭ": 126832, + "ĠпÑĢибÑĭ": 126833, + "ĠکاÙħÙ¾ÛĮ": 126834, + "ï¼Ń": 126835, + "Ġtrh": 126836, + "ĠÐijолÑĮÑĪ": 126837, + "´:": 126838, + "иваеÑĤÑģÑı": 126839, + "ĠìĤ¬íķŃ": 126840, + "è¿Ľä¸ĢæŃ¥": 126841, + "ÑĨей": 126842, + "ãģ¾ãģļ": 126843, + "аÑĤелем": 126844, + "éĮ¯": 126845, + "Ġžalob": 126846, + "ÑĨез": 126847, + "инÑĥв": 126848, + "Ġverze": 126849, + "åĽŀåĪ°": 126850, + "Ġdược": 126851, + "ائÙĬÙĦ": 126852, + "stoupil": 126853, + "论æĸĩ": 126854, + "ĠÐŁÐ°ÑĢи": 126855, + "ĠдекоÑĢаÑĤив": 126856, + "اختÛĮ": 126857, + "ĠÑģÑĤÑĢем": 126858, + "ãĥ»âĶģãĥ»âĶģãĥ»âĶģãĥ»âĶģ": 126859, + "ĠÑģамой": 126860, + "ÑĩÑĤо": 126861, + "ìĥģëĭ´": 126862, + "âī¤": 126863, + "ÑĤого": 126864, + "ëIJ¨": 126865, + "ılacak": 126866, + "ä¸Ńãģ«": 126867, + "ĠÏħÏĢάÏģÏĩοÏħν": 126868, + "ĠвÑĸдбÑĥ": 126869, + "çİ»çĴĥ": 126870, + "ĠвпеÑĢед": 126871, + "ĠPlzeÅĪ": 126872, + "گاب": 126873, + "à¹Ģศรษà¸IJ": 126874, + "ï¼ĮæľĢ": 126875, + "ÙħÙĨÛĮ": 126876, + "çħ§çīĩ": 126877, + "缮å½ķ": 126878, + "ÑĢиÑĤÑĤÑı": 126879, + "âĢĮاش": 126880, + "ĠëĮĢíļĮ": 126881, + "ĠÅĻadu": 126882, + "-ÑĤеÑħ": 126883, + "ĠÙĬÙĪ": 126884, + "Ġà¹ģà¸ŀ": 126885, + "اÙĥÙĨ": 126886, + "Ġ기ìŀIJ": 126887, + "ĠгÑĸд": 126888, + "Ġìļ°ë¦¬ëĬĶ": 126889, + "Ø´ÙħارÛĮ": 126890, + "Ġticari": 126891, + "âij¢": 126892, + "ĠاÙĦبد": 126893, + "ĠÑĢаÑģÑĩ": 126894, + "ĠاÙĦÛĮ": 126895, + "Ġsürede": 126896, + "Ġاعتر": 126897, + "ĠпонÑıÑĤÑĮ": 126898, + "γκο": 126899, + "ï¼Įæ¯Ķ": 126900, + "ĠSeb": 126901, + "Ġìĭłê·ľ": 126902, + "æĶ¶çĽĬ": 126903, + "ĠÙ¾ÛĮØ´ÙĨÙĩاد": 126904, + "ÎľÎijΤ": 126905, + "ë°ĶìĿ´": 126906, + "ä¾ĽåºĶ": 126907, + "бин": 126908, + "人æ°Ĺ": 126909, + "ãģıãĤī": 126910, + "ĠskvÄĽl": 126911, + "Ġëĵ±ìŀ¥": 126912, + "æĭħå½ĵ": 126913, + "Ġimkan": 126914, + "æĻ¨": 126915, + "ï¼Įçİ°åľ¨": 126916, + "Ġsrdce": 126917, + "ìĤ°ìĹħ": 126918, + "Ġмодели": 126919, + "æľ¬å½ĵãģ«": 126920, + "анка": 126921, + "Ġyürüy": 126922, + "ĠоÑĩевид": 126923, + "ĠØŃسÙĬÙĨ": 126924, + "ÑīаÑİÑĤ": 126925, + "lédl": 126926, + "ÑĨо": 126927, + "ĠcÃŃsa": 126928, + "ãģĭãģij": 126929, + "èĹį": 126930, + "ĠØ®ÙĪاÙĩÙĨد": 126931, + "Ġmuže": 126932, + "Ġнакоп": 126933, + "diÄŁini": 126934, + "erseniz": 126935, + "ĠпÑĢаÑĨÑĸвникÑĸв": 126936, + "длÑı": 126937, + "ĠαÏĥÏĦ": 126938, + "æ¶Īè´¹": 126939, + "Ġè¨Ģ": 126940, + "Ġbát": 126941, + "ĠØ´ÙĥÙĦ": 126942, + "ĠÑģпиÑĢ": 126943, + "ÏĢοÏĦε": 126944, + "ĠساÙĦÙĩ": 126945, + "ekil": 126946, + "à¹ģà¸Ĭม": 126947, + "ĠÏĥÏĦι": 126948, + "ĠÙħØ·ÙĦب": 126949, + "Ġìłķì±ħ": 126950, + "ê´Ģê³Ħ": 126951, + "å¹¹ç·ļ": 126952, + "Ġ京": 126953, + "éĢļéģİ": 126954, + "ĠدÛĮگراÙĨ": 126955, + "ĠØ£Ùħا": 126956, + "æĺ¯ä¸į": 126957, + "ĠëĮĢëĭµ": 126958, + "ĠErk": 126959, + "perty": 126960, + "ĠнаÑĩинаеÑĤ": 126961, + "Ġ그리": 126962, + "룡": 126963, + "ĠìĽ¹ìĤ¬ìĿ´íĬ¸": 126964, + "ारन": 126965, + "æĦıè¯Ĩ": 126966, + "ĠÐ¡ÐŁ": 126967, + "ĠباÙĬد": 126968, + "Ġbakımından": 126969, + "/TT": 126970, + "ĠÙģاصÙĦÙĩ": 126971, + "ĠÙħØ«ÙĦا": 126972, + "Ġквад": 126973, + "ĠشاÛĮد": 126974, + "ĠuÄįitel": 126975, + "çĪ½": 126976, + "ĠعرضÙĩ": 126977, + "Ġ交": 126978, + "ĠÑĩеÑģÑĤÑĮ": 126979, + "à¥Ī?Ċ": 126980, + "ĠخاÙĨÙħ": 126981, + "etiyle": 126982, + "Ġεγκα": 126983, + "ĠÑģÑĥÑīе": 126984, + "ĠìĿ¼ìĸ´": 126985, + "ĠÐĽÐµÐ½Ð¸": 126986, + "Ġ声": 126987, + "álie": 126988, + "ãĥ¡ãĥ¼ãĤ¸": 126989, + "à¥Ģतर": 126990, + "галÑĸ": 126991, + "ĠмÑĸнÑĸм": 126992, + "ĠEÅŁ": 126993, + "ĠпÑĢоизоÑĪ": 126994, + "ÐĿаÑģ": 126995, + "ĠبÙĨÛĮ": 126996, + "让æĪij": 126997, + "ĠпоÑģÑĤеп": 126998, + "ĠìļĶ구": 126999, + "ılıp": 127000, + "ĠجÙĪر": 127001, + "ĠëĮĢë¶Ģë¶Ħ": 127002, + "à¹ĩà¸ķาม": 127003, + "ĠÑĦаÑģ": 127004, + "Ġìłķê·ľ": 127005, + "ламенÑĤ": 127006, + "ÄŁen": 127007, + "à¥ĩà¤ĤĊĊ": 127008, + "ĠÐĺванов": 127009, + "ĠØŃÚ©Ùħ": 127010, + "Ġï¾ļ": 127011, + "ï¼»": 127012, + "Ġnevid": 127013, + "ĠлабоÑĢаÑĤоÑĢ": 127014, + "à¸ŀยาà¸ļาล": 127015, + "Ġediyorum": 127016, + "Ġhlavy": 127017, + "ĠEvropské": 127018, + "Ġphái": 127019, + "ãĥĵãĥ¼": 127020, + "ê´ijìĹŃìĭľ": 127021, + "äºľ": 127022, + "ØŃداث": 127023, + "ĠпÑĢоÑĦилакÑĤи": 127024, + "rostÅĻed": 127025, + "ĠмалÑĮ": 127026, + "Ġmüdür": 127027, + "اساس": 127028, + "ĠгалÑĥзÑĸ": 127029, + "à¸µà¸Ł": 127030, + "ĠغذاÛĮÛĮ": 127031, + "åŃIJä¾Ľ": 127032, + "Ġbahsed": 127033, + "ĠKrálové": 127034, + "åį»": 127035, + "Ġ%,": 127036, + "ç½Ĺæĸ¯": 127037, + "ëļ": 127038, + "Ġçij": 127039, + "ĠξεÏĦα": 127040, + "ĠÐŃÑĤи": 127041, + "ĠíĨµíķ©": 127042, + "Ġاکتبر": 127043, + "ĠmÄĽsÃŃce": 127044, + "ìĪĺë¡ľ": 127045, + "ÑĦÑĸк": 127046, + "ĠÐĴоз": 127047, + "ÑĩеÑģким": 127048, + "ìļ´ëĵľ": 127049, + "Ġnáklady": 127050, + "ĠпоÑĤÑĢап": 127051, + "ĠÑĢÑĥкаÑħ": 127052, + "ιλο": 127053, + "ĠGül": 127054, + "ë©ĺ": 127055, + "à¹īย": 127056, + "makt": 127057, + "ãĥ³ãĥIJãĥ¼": 127058, + "ĠнÑĸÑı": 127059, + "ĠоÑĤÑĤен": 127060, + "mesinin": 127061, + "ĠвÑģпом": 127062, + "ĠìĿ´ëĬĶ": 127063, + "dyby": 127064, + "ãĤ¿ãĥ³": 127065, + "âĹİ": 127066, + "à¹īาหà¸Ļ": 127067, + "ادگÛĮ": 127068, + "Ïĩία": 127069, + "ĠsnažÃŃ": 127070, + "Ġà¤ļà¤ķ": 127071, + "μήμα": 127072, + "ĠÙĥر": 127073, + "Ġκοι": 127074, + "éĢ¸": 127075, + "Ġneust": 127076, + "ĠÙĨظاÙħÛĮ": 127077, + "åįļçī©": 127078, + "Ġë²½": 127079, + "á½±": 127080, + "Ġì¶ľìĭľ": 127081, + "Ġarmá": 127082, + "ĠÙĩÙħکارÛĮ": 127083, + "çļĦæĥħåĨµ": 127084, + "ÙĤاÙħ": 127085, + "ÙĤب": 127086, + "ĠéĤ£": 127087, + "Ġ맡": 127088, + "Ġolası": 127089, + "βÎŃÏģ": 127090, + "ä½ķãģĭ": 127091, + "ĠÑĥÑĩеб": 127092, + "ĠвÑĥз": 127093, + "Ġبرگز": 127094, + "'yi": 127095, + "ĠпÑĢазд": 127096, + "ĠÐŀÑĢг": 127097, + "Ġ并": 127098, + "ĠÑģви": 127099, + "ĠÙħÛĮداÙĨ": 127100, + "ĠnaÅ¡eho": 127101, + "ĠBAÅŀ": 127102, + "å»Ĭ": 127103, + "ÌĪ": 127104, + "ãģĵãģĿ": 127105, + "à¹ĩà¸Ļà¸ŀ": 127106, + "οÏģειο": 127107, + "ĠбагаÑĤ": 127108, + "γει": 127109, + "μείο": 127110, + "à¹Īà¸ĩà¸Ĭาà¸ķ": 127111, + "ĠHizmetleri": 127112, + "ĠAfrika": 127113, + "Ġtedbir": 127114, + ",､": 127115, + "ä¸ī级": 127116, + "ÐİÑĭÑŁNÐİÑĭÑŁN": 127117, + "ĠÐļÑĢÑĸм": 127118, + "Ġaray": 127119, + "Ġböylece": 127120, + "коÑĤ": 127121, + "éĻ°": 127122, + "åĽ½éļĽ": 127123, + "tÄĽl": 127124, + "Ġpolis": 127125, + "Ġuvol": 127126, + "ĠìĪĺê°ķ": 127127, + "çĶµèĦij": 127128, + "Ġsami": 127129, + "ĠشاخÙĩ": 127130, + "ĠвÑģÑĮого": 127131, + "ĠØŃداÙĤÙĦ": 127132, + "Ġiken": 127133, + "ãĤ¯ãĥ©ãĥĸ": 127134, + "Ġzávod": 127135, + "बल": 127136, + "ë°°ìĨ¡": 127137, + "éĩĩè´Ń": 127138, + "볬": 127139, + "Ġ।ĊĊ": 127140, + "Ġê°ģê°ģ": 127141, + "Ġмак": 127142, + "ÏģαÏĥη": 127143, + "ĠiÅŁlemi": 127144, + "ãģĹãģ¦ãģĦãģ¾ãģĻ": 127145, + "ĠPek": 127146, + "Ñİн": 127147, + "Ġvelkou": 127148, + "åĬŀçIJĨ": 127149, + "å®ĥ们": 127150, + "ĠèIJ¬": 127151, + "ĠнаÑĢодÑĥ": 127152, + "Ġchó": 127153, + "ĠHiç": 127154, + "Û³Ûµ": 127155, + "Ġรà¸Ńà¸ļ": 127156, + "Û³Û¶": 127157, + "à¸Ĥว": 127158, + "ä½įæĸ¼": 127159, + "ĠСÑĤа": 127160, + "ัà¸Ļม": 127161, + "ापà¤ķ": 127162, + "ĠÑĥÑĢок": 127163, + "ãĤ¢ãĥ¡ãĥªãĤ«": 127164, + "Ġзмож": 127165, + "skému": 127166, + "Ġè»Ĭ": 127167, + "ĠاختÛĮار": 127168, + "ĠPÅĺ": 127169, + "лÑıв": 127170, + "Ġмаз": 127171, + "ĠözelliÄŁi": 127172, + "åij¼ãģ°": 127173, + "Ġbirinin": 127174, + "Ġодне": 127175, + "ÌĨ": 127176, + "ä»ĸãģ®": 127177, + "建ç¯ī": 127178, + "поÑģеÑĢед": 127179, + "หลà¸Ķ": 127180, + "å¤ļãģĦ": 127181, + "ÏĦήÏĥειÏĤ": 127182, + "ĠرÙĪÙĨد": 127183, + "èģ½": 127184, + "ì¤ijìĹIJ": 127185, + "ìĬ¤íĭ°": 127186, + "ĠзвÑĸÑĤ": 127187, + "ĠаÑĢÑĤи": 127188, + "ĠcÆ°á»Ŀi": 127189, + "ındır": 127190, + "Ġголод": 127191, + "ازد": 127192, + "à¹Īาวว": 127193, + "ãĥ¡ãĥ©": 127194, + "عÙĨÙĪاÙĨ": 127195, + "%)Ċ": 127196, + "ĠÑħолодилÑĮ": 127197, + "人们": 127198, + "CÄ°": 127199, + "ÐĹап": 127200, + "ĠpÅĻisp": 127201, + "Ġdurumlarda": 127202, + "ÑĢÑĸд": 127203, + "ÂłÐ£": 127204, + "ĠεÏĨαÏģ": 127205, + "Ġsprav": 127206, + "ĠоÑĤÑĢиманнÑı": 127207, + "ï¼Į没æľī": 127208, + "овала": 127209, + "Ġngại": 127210, + "ãĢĤ大": 127211, + "ĠдаеÑĤ": 127212, + "ĠpÃŃsem": 127213, + "ÑĨÑıÑĤÑĮ": 127214, + "ovnÄĽ": 127215, + "ë¦ī": 127216, + "Ġê²ģ": 127217, + "ÑģÑĤин": 127218, + "ĠSayı": 127219, + "ãĢĭçļĦ": 127220, + "Ġyoluyla": 127221, + "елеÑĦон": 127222, + "Ġráno": 127223, + "ĠíĸīëıĻ": 127224, + "ĠاÙĦخاÙħسة": 127225, + "Ġповинна": 127226, + "ÅĻila": 127227, + "Ġà¤ļरण": 127228, + "Ġبرگزار": 127229, + "ìļ´ëį°": 127230, + "à¹Ģà¸Ľà¸Ńร": 127231, + "Ġdaleko": 127232, + "lednÃŃ": 127233, + "åIJį稱": 127234, + "ливÑĸÑģÑĤÑĮ": 127235, + "Ġ몸ìĿĦ": 127236, + "оÑĢÑĸв": 127237, + "Це": 127238, + "بدأ": 127239, + "ë°ĺ기": 127240, + "krát": 127241, + "ä¸į足": 127242, + "Ġoldukları": 127243, + "leniyor": 127244, + "Ġìĭľíĸī": 127245, + "ĠпÑĢинимаÑĤÑĮ": 127246, + "à¸Ĥà¸Ńà¸ĩร": 127247, + "ÏĪει": 127248, + "Ġẩn": 127249, + "تس": 127250, + "ĠÑĤай": 127251, + "Ġневозможно": 127252, + "åıĬãģ³": 127253, + "roti": 127254, + "ï½Ń": 127255, + "дом": 127256, + "ойно": 127257, + "å£Ĭ": 127258, + "说çļĦ": 127259, + "Ġskoro": 127260, + "niÄįnÃŃ": 127261, + "ĠProfes": 127262, + "ĠÑħÑĢониÑĩеÑģ": 127263, + "Ġ주문": 127264, + "ĠZn": 127265, + "ĠÑģлой": 127266, + "ÎłÏģο": 127267, + "æĮĩæķ°": 127268, + "ĠпеÑĢеÑĪ": 127269, + "à¥ģà¤ķस": 127270, + "Ġê°Ģìłķ": 127271, + "Ġíķĺë©´": 127272, + "Û±Û¹Û´": 127273, + "кÑĥл": 127274, + "ÙĬÙĦا": 127275, + "ĠدÙĪبارÙĩ": 127276, + "|l": 127277, + "ĠÐľÑĥ": 127278, + "нила": 127279, + "ãģ¦ãģĦãģ¾ãģĻ": 127280, + "macı": 127281, + "ãģŁãģ¡ãģ¯": 127282, + "ĠاÙĦÙĥتاب": 127283, + "移åĭķ": 127284, + "λμ": 127285, + "_ï¼ı": 127286, + "Ġê°Ģìŀħ": 127287, + "èħ¾": 127288, + "ĠпÑĢезиденÑĤ": 127289, + "Ġë¶Ħìķ¼": 127290, + "ahy": 127291, + "Å¡etÅĻenÃŃ": 127292, + "éĵº": 127293, + "ĠpÅĻÃŃro": 127294, + "ÐķТ": 127295, + "ĠìļĶì²Ń": 127296, + "Ġmohlo": 127297, + "å¿ĥçIJĨ": 127298, + "Ġvysoké": 127299, + "ü": 127300, + "ÏĦικα": 127301, + "ìĹħì²´": 127302, + "ãģ§ãģĤ": 127303, + "รายà¸ĩาà¸Ļ": 127304, + "ĠpÅĻÃŃspÄĽv": 127305, + "ĠetmiÅŁtir": 127306, + "她们": 127307, + "ÏĢλα": 127308, + "ứa": 127309, + "Ġ说": 127310, + "ĠÑģоÑģед": 127311, + "åĩī": 127312, + "ĠÐłÐµ": 127313, + "åİŁæĿ¥": 127314, + "ĠÐIJÑĢÑħ": 127315, + "بÙĬÙĨ": 127316, + "åľ°è¯´": 127317, + "Ġört": 127318, + "ĠΣεÏĢ": 127319, + "ÂŃÙĩاÛĮ": 127320, + "ĠاÙĦاÙĤتص": 127321, + "尽管": 127322, + "ÑĤÑĭй": 127323, + "tains": 127324, + "ÙĢÙĦ": 127325, + "ç§ijæĬĢæľīéĻIJåħ¬åı¸": 127326, + "æı®": 127327, + "ัà¸ķà¸ĸ": 127328, + "á»Ĺng": 127329, + "ลาà¸Ķ": 127330, + "æļ®": 127331, + "ĠÙĨÙģسÙĩ": 127332, + "Ġçľĭ": 127333, + "Ġãģ¿": 127334, + "Ġtarım": 127335, + "Û±Û¹Ûµ": 127336, + "ĠÎĬ": 127337, + "Ġkomplex": 127338, + "ĠNhÄ©": 127339, + "è´¹çĶ¨": 127340, + "ĠکاربراÙĨ": 127341, + "ÅĪovánÃŃ": 127342, + "Ġků": 127343, + "дап": 127344, + "ÎķΧ": 127345, + "ê·¸ëŀĺ": 127346, + "Ġdöndü": 127347, + "人åĵ¡": 127348, + "ĠTiá»ĥu": 127349, + "ĠÙĪÛĮراÛĮØ´": 127350, + "Ġöngör": 127351, + "ĠÙĪغÙĬر": 127352, + "ĠÑģкÑĢÑĭ": 127353, + "âĢIJ'": 127354, + "ĠнемÑĥ": 127355, + "ĠHá»ĩ": 127356, + "Ġdüzenli": 127357, + "ĠsoutÄĽÅ¾e": 127358, + "ãĢģãĥŀ": 127359, + "ÏĦομα": 127360, + "ÄĽlÃŃ": 127361, + "ĠØ£ÙĦÙħاÙĨ": 127362, + "çł²": 127363, + "ĠtrÃł": 127364, + "Ġä¸ĸçķĮ": 127365, + "ayız": 127366, + "ımlı": 127367, + "ĠاÙĦØ£Ùģ": 127368, + "íķĺëĬĶëį°": 127369, + "вано": 127370, + "ĠpÅĻiÄįemž": 127371, + "ÙĥÙĬب": 127372, + "ĠмаÑĤемаÑĤи": 127373, + "мени": 127374, + "ĠпÑĢоекÑĤÑĥ": 127375, + "ีà¹Ĥà¸Ń": 127376, + "оÑĥ": 127377, + "ĠاÙĦشرÙĥØ©": 127378, + "æ³£": 127379, + "ÙĪÙĤÙĬت": 127380, + "ÑĪив": 127381, + "Ġpersonel": 127382, + "شتر": 127383, + "à¸Ķา": 127384, + "Ġ몽": 127385, + "åĿIJåľ¨": 127386, + "оке": 127387, + "Ġë§Īë²ķ": 127388, + "ĠØ£ÙĨا": 127389, + "ëłµ": 127390, + "ĠÙħباÙĨÛĮ": 127391, + "èĭ¹æŀľ": 127392, + "Ġศร": 127393, + "ĠÐĽÑĥÑĩ": 127394, + "ÎŁÎ¥Î£": 127395, + "ĠÄįá": 127396, + "ãģĽãģ¦": 127397, + "ĠkÄ±ÅŁ": 127398, + "ÑĪев": 127399, + "æĮĩ导": 127400, + "à¹ģละม": 127401, + "Ġvoleb": 127402, + "ĠÑģилÑĭ": 127403, + "Ġdruhou": 127404, + "Ġì°¬": 127405, + "ĠìŀĪìĿĮ": 127406, + "ΥΣ": 127407, + "ä¸įå®ī": 127408, + "ĠìĹĨìĿĮ": 127409, + "Ġdeterm": 127410, + "ĠاÙĦÙħعÙĦÙĪÙħات": 127411, + "íĺ¹": 127412, + "âĻ¡": 127413, + "à¥įबन": 127414, + "Ġخشک": 127415, + "ĠNová": 127416, + "ĠÑĦÑĥндаменÑĤ": 127417, + "ĠпÑĢогÑĢами": 127418, + "ĠعÙĦÙĬÙĥ": 127419, + "।ĊĊ": 127420, + "Ġveriyor": 127421, + "ĠÑĶв": 127422, + "ĠìŀĪëĭ¤ê³ł": 127423, + "ĠاÙĦØ£ÙħرÙĬÙĥÙĬ": 127424, + "Ġå¤ĸéĥ¨ãĥªãĥ³ãĤ¯": 127425, + "Ġä¿®": 127426, + "ĠпÑĥÑĤи": 127427, + "ĠοÏģγ": 127428, + "ĠоÑģновном": 127429, + "ĠнаÑĢÑĥж": 127430, + "ĠмиÑĢе": 127431, + "ovÄĽt": 127432, + "ĠíĥIJ": 127433, + "Ġsokak": 127434, + "Ġspolupráci": 127435, + "ÐĶÐļ": 127436, + "Ġåĺ": 127437, + "âĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸį": 127438, + "Ġ³³³³": 127439, + "Ġhayır": 127440, + "ĠìĻĶ": 127441, + "æĤ¨çļĦ": 127442, + "æĮº": 127443, + "Ġ민주": 127444, + "Ġhotelu": 127445, + "à¸µà¸ľ": 127446, + "ìŀIJëıĻ": 127447, + "ä¼¼çļĦ": 127448, + "ÎŃνÏĦÏģο": 127449, + "Ø´ÙĪ": 127450, + "Ġé¤": 127451, + "Ġλι": 127452, + "Ġolmaktadır": 127453, + "ĠоÑģвеÑī": 127454, + "Ġвина": 127455, + "Ġخاصة": 127456, + "rana": 127457, + "γÏģαÏĨή": 127458, + "ÑĨеÑģ": 127459, + "ĠdoÄŁrult": 127460, + "ĠÙĤرارداد": 127461, + "ĠÐļал": 127462, + "ê²½ìłľ": 127463, + "ÏĩÏĮ": 127464, + "ÑĥÑİÑīий": 127465, + "ëĭĺìĿ´": 127466, + "ëĮ": 127467, + "лаз": 127468, + "Ġngừng": 127469, + "isku": 127470, + "ìĦłê±°": 127471, + "ĠÑįлекÑĤÑĢон": 127472, + "ĠVoj": 127473, + "нÑıми": 127474, + "ĠÙĪØ£ÙĨ": 127475, + "äºŃ": 127476, + "ç»Łè®¡": 127477, + "ĠÅŁiÅŁ": 127478, + "ãĢįçļĦ": 127479, + "æŃ¯": 127480, + "Ġколлек": 127481, + "Ġдвиж": 127482, + "Ġná»Ńa": 127483, + "ÄįasÃŃ": 127484, + "Ġsonu": 127485, + "ĠмеÑħанÑĸз": 127486, + "žený": 127487, + "ĠзаÑģÑĤÑĥп": 127488, + "ê´Ģ볨": 127489, + "ĠÑĤоваÑĢÑĸв": 127490, + "Ġì¼ĢìĿ´": 127491, + "à¥ģà¤Ĺत": 127492, + "Ġzásob": 127493, + "мовÑĸÑĢ": 127494, + "ufac": 127495, + "ůležit": 127496, + "ĠвигоÑĤов": 127497, + "ĠاÙĦÙĨÙĪ": 127498, + "ĠعاÙħا": 127499, + "æģ¨": 127500, + "ĠìĿ´ë¯¸ì§Ģ": 127501, + "ĠtvoÅĻ": 127502, + "ĠvyužitÃŃ": 127503, + "ĠgeliÅŁim": 127504, + "쳤ëĭ¤": 127505, + "หà¸Ļà¸Ńà¸ĩ": 127506, + "ĠìĿ¸ìłķ": 127507, + "à¥įदर": 127508, + "ĠпеÑĢеда": 127509, + "ĠздÑĸйÑģненнÑı": 127510, + "ÙĨع": 127511, + "è¡£æľį": 127512, + "Ġloa": 127513, + "íĻĪ": 127514, + "èĭ±åĽ½": 127515, + "ĠDruh": 127516, + "خاÙĨ": 127517, + "дам": 127518, + "аÑĤелÑĮнÑĭÑħ": 127519, + "θÏģÏİ": 127520, + "ĠØ£Ùħر": 127521, + "ĠÅĻada": 127522, + "ĠbuluÅŁ": 127523, + "ĠÑĤÑĢанÑģпоÑĢ": 127524, + "ĠÙĤتÙĦ": 127525, + "ĠTarif": 127526, + "Rus": 127527, + "ĠзаÑģÑĸд": 127528, + "ĠÄ°h": 127529, + "leyin": 127530, + "Ġvyrá": 127531, + "ĠDÄĽ": 127532, + "ибли": 127533, + "avou": 127534, + "ĠÐĵеÑĢм": 127535, + "немÑĥ": 127536, + "ĠконÑĨеп": 127537, + "ĠÙĤادر": 127538, + "Ġsoubor": 127539, + "Ġlá»iji": 127540, + "ĠçµIJ": 127541, + "леннÑĭй": 127542, + "κÏħ": 127543, + "Ġдопомаг": 127544, + "à¸ŀวà¸ģà¹Ģà¸Ĥ": 127545, + "Ġquang": 127546, + "ĠØ·ÙĦا": 127547, + "ĠéĩĮ": 127548, + "ĠÙĨÙħÙĪدار": 127549, + "ĠÅŁar": 127550, + "ĠÑģпÑĸл": 127551, + "ÂŃn": 127552, + "ì§ĢìļĶ": 127553, + "åīįå¾Ģ": 127554, + "åħ³éĶ®": 127555, + "å®ŀåľ¨": 127556, + "éŁ³æ¥½": 127557, + "ĠÙħسئÙĦÙĩ": 127558, + "Ġyeme": 127559, + "ĠÑĪаÑħ": 127560, + "기ìĪł": 127561, + "Ġสำà¸Ļ": 127562, + "ĠÙĪرزشÛĮ": 127563, + "ãģĹãģŁãĤī": 127564, + "ίÏĥÏī": 127565, + "окон": 127566, + "ãģŁãĤī": 127567, + "ĠØ¥ÙĦÙĬÙĩ": 127568, + "Ġآذرب": 127569, + "Ġrá»Ŀi": 127570, + "Ġodak": 127571, + "ĠмогÑĥ": 127572, + "ĠÚ¯ÙĨ": 127573, + "è²¼": 127574, + "edla": 127575, + "ĠопÑĭÑĤ": 127576, + "lamaktadır": 127577, + "å°¼äºļ": 127578, + "éĥ½ä¼ļ": 127579, + "ĠÎĺεÏĥÏĥα": 127580, + "Ġвог": 127581, + "ç»Īäºİ": 127582, + "ĠÑĥÑĢовне": 127583, + "Ġvlak": 127584, + "ĠØ¢ÙĦØ©": 127585, + "Ġειδ": 127586, + "âĩ": 127587, + "дÑĥÑĤ": 127588, + "Ñĸнг": 127589, + "ĠØ£ÙħرÙĬÙĥÙĬ": 127590, + "ازÙĨد": 127591, + "ĠباÙĦØ£": 127592, + "Ġतन": 127593, + "Ġkaydet": 127594, + "룬리": 127595, + "Ġdrž": 127596, + "ĠпенÑģ": 127597, + "ĠpÅĻÃŃÄį": 127598, + "ĠТолÑĮко": 127599, + "ĠбаÑĤаÑĢ": 127600, + "éĵģè·¯": 127601, + "ĠÙ¾ÛĮÚĨ": 127602, + "ĠÎĵεÏī": 127603, + "ĠαÏħÏĦά": 127604, + "ÄŀI": 127605, + "ĠакÑĤивно": 127606, + "ÎĹÎľÎij": 127607, + "Ġvarlık": 127608, + "Ġåıª": 127609, + "ĠзаÑīиÑĤÑĭ": 127610, + "лим": 127611, + "ĠÙħشاÙĩدة": 127612, + "иком": 127613, + "Ġì¡°ìĤ¬": 127614, + "оген": 127615, + "Ġmấy": 127616, + "gii": 127617, + "èĽĩ": 127618, + "ĠØ®ÙĪÛĮØ´": 127619, + "Ġnová": 127620, + "ковой": 127621, + "Ġkanıt": 127622, + "éĿ¢è®®": 127623, + "ĠرÙĪستا": 127624, + "ìĸ´ê°Ģ": 127625, + "ĠоÑĤноÑĪениÑı": 127626, + "Ġhodnoty": 127627, + "ÙĪرات": 127628, + "ĠpÅĻÃŃst": 127629, + "Ġthá»į": 127630, + "Ġçıkart": 127631, + "ообÑĢаз": 127632, + "ĠnemÄĽl": 127633, + "Âłro": 127634, + "ĠدÙĪÙĦتÛĮ": 127635, + "ี,": 127636, + "ä¸Ģ度": 127637, + "iaomi": 127638, + "åĹİ": 127639, + "Ùıع": 127640, + "ĠваÑĢиан": 127641, + "ĠpodaÅĻilo": 127642, + "ĠëĤĺê°Ģ": 127643, + "èIJ¥ä¸ļ": 127644, + "ĠабÑģолÑİÑĤно": 127645, + "Ġë¸ĮëĿ¼": 127646, + "ĠгоÑĢиз": 127647, + "aģın": 127648, + "Ġyerini": 127649, + "à¹īาà¸Ļà¸Ķ": 127650, + "æIJ¬": 127651, + "Ġbalık": 127652, + "ĠÅŁans": 127653, + "认è¯Ĩ": 127654, + "ĠistediÄŁiniz": 127655, + "ĠjistÄĽ": 127656, + "ĠìĪĺê°Ģ": 127657, + "ï¼Įä¸Ĭ": 127658, + "à¤ľà¤¬": 127659, + "ĠвиÑıви": 127660, + "맥": 127661, + "ãģĹãģ¦ãĤĭ": 127662, + "ÙĬÙĥا": 127663, + "ĠHüs": 127664, + "cının": 127665, + "Ġशत": 127666, + "ĠÑĢаÑģполаг": 127667, + "ĠÑģпÑĢавж": 127668, + "ืà¸Ńà¸ĸ": 127669, + "ĠвеÑĢÑĤик": 127670, + "Ġvystav": 127671, + "ĠÑĢеалÑĸзаÑĨÑĸÑĹ": 127672, + "вами": 127673, + "ãĤ¹ãĥĨãĤ£": 127674, + "ëħģ": 127675, + "ĠÑĢеÑĩÑĸ": 127676, + "ÙģاÙĦ": 127677, + "िà¤ķà¤Ł": 127678, + "ĠвозÑĢаÑģÑĤе": 127679, + "каÑģ": 127680, + "ĠÐĺÑģ": 127681, + "ĠлÑĸк": 127682, + "ĠÏĥημαν": 127683, + "менÑĤÑĥ": 127684, + "нÑıÑİÑĤ": 127685, + "æŁ´": 127686, + "ĠθεÏī": 127687, + "çĬ¯ç½ª": 127688, + "ĠÙĤطر": 127689, + "ÐĶÐIJ": 127690, + "-|": 127691, + "ĠÑģÑĤÑĸ": 127692, + "Ġuyum": 127693, + "ĠpotÅĻeba": 127694, + "ĠعÙħÙĦÛĮات": 127695, + "奪": 127696, + "اخر": 127697, + "ĠکساÙĨÛĮ": 127698, + "تÙħر": 127699, + "ÑĮеÑĢ": 127700, + "ĠNez": 127701, + "íļĮìĤ¬": 127702, + "ĠBankası": 127703, + "егÑĢа": 127704, + "à¸Ĥà¸ĵะà¸Ĺ": 127705, + "åIJĪæł¼": 127706, + "ĠìŬ룬ë¶Ħ": 127707, + "yasal": 127708, + "Ġè¡ĮæĶ¿": 127709, + "åĬī": 127710, + "dıktan": 127711, + "ãĤ¢ãĥ«ãĥIJ": 127712, + "ĠاÛĮÙĨÚĨ": 127713, + "Ġdijital": 127714, + "å°ĺ": 127715, + "ĠÑĢазмеÑī": 127716, + "ĠкÑĸлÑĮкоÑģÑĤÑĸ": 127717, + "ĠEvropy": 127718, + "ĠÑĢозви": 127719, + "ÑİÑīÑĥÑİ": 127720, + "Ġong": 127721, + "Ġhepsi": 127722, + "vailability": 127723, + "ĠتصÙħÙĬÙħ": 127724, + "ÑĥйÑĤе": 127725, + "हल": 127726, + "ĠÅ¡iro": 127727, + "Ġpás": 127728, + ";;;;;;": 127729, + "éħįåIJĪ": 127730, + "ĠاÙĦعاÙĦÙħÙĬØ©": 127731, + "ÐĴо": 127732, + "haf": 127733, + "láv": 127734, + "Ġbì": 127735, + "Ġmůj": 127736, + "ê»ĺìĦľ": 127737, + "ÂłBf": 127738, + "ĠÑģпÑĢоÑģил": 127739, + "âĢĮÚ©ÙĨÙĨدÙĩ": 127740, + "ÙĨدÙĬØ©": 127741, + "çī¹èī²": 127742, + "Ġìķ¨": 127743, + "ุษย": 127744, + "ĠФоÑĢ": 127745, + "пиÑģок": 127746, + "užel": 127747, + "ımlar": 127748, + "çĬ¶æ³ģ": 127749, + "Ġãĥ¬ãĥĩãĤ£ãĥ¼ãĤ¹": 127750, + "Ñħови": 127751, + "ÂłKÄį": 127752, + "Ñĩим": 127753, + "ĠتÙĪÙħ": 127754, + "à¹Ģà¸ģษà¸ķร": 127755, + "Ġìĭ±ê¸Ģ": 127756, + "Ùħارات": 127757, + "ênh": 127758, + "ĠÅĻid": 127759, + "æĬ¬": 127760, + "ÑģиÑİ": 127761, + "æħİ": 127762, + "Ġçevre": 127763, + "ãĥĪãĥ«": 127764, + "Ġyıldır": 127765, + "Ġzáznam": 127766, + "æľºåľº": 127767, + "ĠпоÑĶ": 127768, + "ĠвÑĭÑĢаÑīи": 127769, + "ĠÙģع": 127770, + "ë»": 127771, + "ĠدارÛĮÙħ": 127772, + "ï¼ĮæĽ´": 127773, + "Ġземли": 127774, + "ابÙĤات": 127775, + "Ġmá»Ŀi": 127776, + "kých": 127777, + "ÙĦاة": 127778, + "帽": 127779, + "براÙĩÙĬÙħ": 127780, + "ĠпобаÑĩ": 127781, + "ाà¤ĩम": 127782, + "à¹Īาà¸ĩà¸Ľà¸£à¸°à¹Ģà¸Ĺศ": 127783, + "ĠìĦ¸ìĥģ": 127784, + "ĠпомогаеÑĤ": 127785, + "ĠÏĦÏĮÏĥο": 127786, + "æĸ·": 127787, + "ĠÙģراÙĪ": 127788, + "à¹Ħà¸Ľà¸¢": 127789, + "ergisi": 127790, + "ĠéĻIJ": 127791, + ".xz": 127792, + "ĠÑģлÑĥÑħ": 127793, + "економ": 127794, + "ĠNhất": 127795, + "±ط": 127796, + "ĠëĪĪìĿĦ": 127797, + "ĠíļĮìĤ¬": 127798, + "Ñĵ": 127799, + "ĠåIJįçĦ¡ãģĹ": 127800, + "Ġομάδα": 127801, + "ĩĮ": 127802, + "liÄŁinin": 127803, + "عاÙĨ": 127804, + "ĠزÙĨÛĮ": 127805, + "Tôi": 127806, + "Ġetki": 127807, + "ĠìĹ°ëĿ½": 127808, + "ĠконÑĨа": 127809, + "è°ĭ": 127810, + "ĠземлÑı": 127811, + "íĻĺê²½": 127812, + "ĠÙħکاÙĨÛĮ": 127813, + "çĸ²": 127814, + "Ġç¢": 127815, + "Ġkurulan": 127816, + "ؤÙĪÙĦ": 127817, + "دÙī": 127818, + "ĠاÙĦÙħÙĨØ·ÙĤØ©": 127819, + "Ġnắng": 127820, + "ÐŁÐļ": 127821, + "олай": 127822, + "YK": 127823, + "åijĨ": 127824, + "λαν": 127825, + "西çľģ": 127826, + "ĠÎĴαÏĥ": 127827, + "ĠíĻķìĭ¤": 127828, + "ZD": 127829, + "пÑĸд": 127830, + "ĠнаÑĩе": 127831, + "ĠÏĦά": 127832, + "å½»": 127833, + "âĢŀD": 127834, + "Ġèĩº": 127835, + "ĠнаÑĪей": 127836, + "ĠtÃŃmto": 127837, + "ĠتسÙħ": 127838, + "ÏģθÏģο": 127839, + "令人": 127840, + "ĠPazar": 127841, + "ãĤĵãģ¨": 127842, + "ç«ĭåĪ»": 127843, + "Âģ@": 127844, + "Ġbắc": 127845, + "ìĬ¤íħĮ": 127846, + "Ġkadınlar": 127847, + "figur": 127848, + "ãģ¤ãģ¶": 127849, + "ĠæµĻæ±Ł": 127850, + "ĠдекÑĸлÑĮ": 127851, + "è¡Ŀ": 127852, + "ยà¸Ļà¹ģà¸Ľà¸¥à¸ĩ": 127853, + "olet": 127854, + "Ġnedok": 127855, + "namen": 127856, + "åħĦå¼Ł": 127857, + "ืà¸Ńà¸Ĥ": 127858, + "èĤĥ": 127859, + "Ġbüny": 127860, + "ĠÑĢадÑıн": 127861, + "ãĢģäºĮ": 127862, + "аннÑİ": 127863, + "Ġæīĭæľº": 127864, + "ĠоÑģлож": 127865, + "ĠоглÑı": 127866, + "Ġسبز": 127867, + "Ġaktivit": 127868, + "Ġà¤ıप": 127869, + "ç«ľ": 127870, + "Ġdiren": 127871, + "iв": 127872, + "ĠYatırım": 127873, + "ÑĨÑĸйна": 127874, + "Ġдомов": 127875, + "ẳn": 127876, + "ĠCoÄŁraf": 127877, + "ÙģÙĪ": 127878, + "æ°Ĺãģ«åħ¥": 127879, + "ç§ģãģ®": 127880, + "ï½į": 127881, + "à¥Įड": 127882, + "ĠÐĵÑĢигоÑĢ": 127883, + "ĠPeygamber": 127884, + "Ġαγα": 127885, + "Ġefekt": 127886, + "ĠìŀĪìĸ´ìĦľ": 127887, + "ĠплаÑĤеж": 127888, + "ĠTrab": 127889, + "overy": 127890, + "âĢ¦âĢ¦ãĢĤ": 127891, + "Ġyapmaya": 127892, + "ĠнайбÑĸлÑĮ": 127893, + "ĠÙħÙĨزÙĦ": 127894, + "ÙĪÙĬÙĥ": 127895, + "ıldıģında": 127896, + "ĠpÅĻÃŃpadnÄĽ": 127897, + "ĠμÏĢοÏģοÏį": 127898, + "ĠëĵľëĿ¼ë§Ī": 127899, + "Ġ방문": 127900, + "ĠСим": 127901, + "کات": 127902, + "еком": 127903, + "رÙĬع": 127904, + "ÙĩدÙģ": 127905, + "æĹıèĩªæ²»": 127906, + "ĠzmÄĽn": 127907, + "Ġвклад": 127908, + "ĠبÙĦغ": 127909, + "Ġç§ĭ": 127910, + "Ngh": 127911, + "ĠendiÅŁ": 127912, + "ĠCumhurbaÅŁkanı": 127913, + "ĠKaf": 127914, + "Ġà¹ģหล": 127915, + "Ġmutlu": 127916, + "ĠÑģиÑĢ": 127917, + "ĠгÑĥм": 127918, + "æ¿ĥ": 127919, + "çĤī": 127920, + "ĠBáo": 127921, + "à¥Ĥष": 127922, + "ĠìłķíĻķ": 127923, + "ानस": 127924, + "ﻤ": 127925, + "наÑģлÑĸдок": 127926, + "poÄįet": 127927, + "ë§ĮìĽIJìŀħëĭĪëĭ¤": 127928, + "ĠìĦľìļ¸íĬ¹ë³Ħìĭľ": 127929, + "ÎķÎĻΣ": 127930, + "ุมà¸Ĭà¸Ļ": 127931, + "ĠмÑĸлÑĮ": 127932, + "æħĮ": 127933, + "ÏĥκεÏĦαι": 127934, + "ĠãĢľ": 127935, + "Ġkaliteli": 127936, + "ĠÑģмеÑĢÑĤÑĮ": 127937, + "è¼Ķ": 127938, + "ĠбиÑĤ": 127939, + "ĠΣÏĦο": 127940, + "à¸ĩà¹Ģศส": 127941, + "åİŁæľ¬": 127942, + "ĠknÃŃ": 127943, + "äºĴèģĶç½ij": 127944, + "ĠÑĩеловеÑĩеÑģ": 127945, + "çŃĴ": 127946, + "à¸Īำหà¸Ļ": 127947, + "åĩºåİ»": 127948, + "ãĤ¢ãĥĭãĥ¡": 127949, + "å±ķ示": 127950, + "rych": 127951, + "à¤ħब": 127952, + "oÅĪ": 127953, + "jÃŃcÃŃm": 127954, + "اØŃØ«": 127955, + "ĠÙĪاÙĤعÛĮ": 127956, + "ĠФедеÑĢалÑĮ": 127957, + "Ñģам": 127958, + "Ġìĺ¥": 127959, + "åľ°çIJĥ": 127960, + "Ġsuyu": 127961, + "seniz": 127962, + "à¥īफ": 127963, + "Ġê°Ļëĭ¤": 127964, + "ĠпÑĢизнаÑĩеннÑı": 127965, + "ĠSın": 127966, + "ĠاÙħÙĨÛĮت": 127967, + "Ġlátky": 127968, + "ĠÐijи": 127969, + "Ġsüreci": 127970, + "····": 127971, + "Ġ경찰": 127972, + "ĠкалÑĮ": 127973, + "ĠникÑĤо": 127974, + "ÙijÙħ": 127975, + "ĠدÙĬگر": 127976, + "Ġalınması": 127977, + "леннÑĸ": 127978, + "ิวà¹Ģà¸ķà¸Ńร": 127979, + "à¸Ľà¸ģà¸Ħรà¸Ńà¸ĩ": 127980, + "ĠзаконодавÑģÑĤва": 127981, + "ãĢĢãĤ¤": 127982, + "Ġëħ¸íķĺìļ°": 127983, + "ĠDÃ¼ÅŁ": 127984, + "ĠгÑĥÑģÑĤ": 127985, + "ĠÐĴаÑĪ": 127986, + "ĠاÙħتÛĮ": 127987, + "Ġparamet": 127988, + "ĠÎłÎ±Î½ÎµÏĢ": 127989, + "à¹Įà¸ģร": 127990, + "ζα": 127991, + "ĠëįĶìļ±": 127992, + "ÙĪÙĦات": 127993, + "ваÑĤиÑģÑı": 127994, + "Ġkök": 127995, + "ÙĨب": 127996, + "ĠвÑĭÑģокой": 127997, + "ãĥ¼ãĥ¼": 127998, + "éĶ¦": 127999 + }, + "merges": [ + "Ġ Ġ", + "Ġ ĠĠĠ", + "ĠĠ ĠĠ", + "ĠĠĠ Ġ", + "i n", + "Ġ t", + "Ġ ĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠ ĠĠ", + "e r", + "Ġ ĠĠ", + "ĠĠ Ġ", + "o n", + "Ġ a", + "r e", + "a t", + "s t", + "e n", + "o r", + "Ġ th", + "Ġt h", + "Ċ Ċ", + "Ġ c", + "l e", + "Ġ s", + "i t", + "a n", + "a r", + "a l", + "Ġ the", + "Ġt he", + "Ġth e", + "; Ċ", + "Ġ p", + "Ġ f", + "o u", + "Ġ =", + "i s", + "Ġ ĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠ", + "ĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠ Ġ", + "i ng", + "in g", + "e s", + "Ġ w", + "i on", + "io n", + "e d", + "i c", + "Ġ b", + "Ġ d", + "e t", + "Ġ m", + "Ġ o", + "ĉ ĉ", + "r o", + "a s", + "e l", + "c t", + "n d", + "Ġ in", + "Ġi n", + "Ġ h", + "e nt", + "en t", + "i d", + "Ġ n", + "a m", + "Ġ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ to", + "Ġt o", + "Ġ re", + "Ġr e", + "- -", + "Ġ {", + "Ġ of", + "Ġo f", + "o m", + ") ;Ċ", + "); Ċ", + "i m", + "č Ċ", + "Ġ (", + "i l", + "/ /", + "Ġ and", + "Ġa nd", + "Ġan d", + "u r", + "s e", + "Ġ l", + "e x", + "Ġ S", + "a d", + "Ġ \"", + "c h", + "u t", + "i f", + "* *", + "Ġ }", + "e m", + "o l", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "t h", + ") Ċ", + "Ġ {Ċ", + "Ġ{ Ċ", + "Ġ g", + "i g", + "i v", + ", Ċ", + "c e", + "o d", + "Ġ v", + "a te", + "at e", + "Ġ T", + "a g", + "a y", + "Ġ *", + "o t", + "u s", + "Ġ C", + "Ġ st", + "Ġs t", + "Ġ I", + "u n", + "u l", + "u e", + "Ġ A", + "o w", + "Ġ '", + "e w", + "Ġ <", + "a tion", + "at ion", + "atio n", + "ati on", + "( )", + "Ġ for", + "Ġf or", + "Ġfo r", + "a b", + "o rt", + "or t", + "u m", + "a me", + "am e", + "Ġ is", + "Ġi s", + "p e", + "t r", + "c k", + "â Ģ", + "Ġ y", + "i st", + "is t", + "- ---", + "-- --", + "--- -", + ". ĊĊ", + ".Ċ Ċ", + "h e", + "Ġ e", + "l o", + "Ġ M", + "Ġ be", + "Ġb e", + "e rs", + "er s", + "Ġ on", + "Ġo n", + "Ġ con", + "Ġc on", + "Ġco n", + "a p", + "u b", + "Ġ P", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "a ss", + "as s", + "i nt", + "in t", + "> Ċ", + "l y", + "u rn", + "ur n", + "Ġ $", + "; ĊĊ", + ";Ċ Ċ", + "a v", + "p ort", + "por t", + "po rt", + "i r", + "- >", + "n t", + "c tion", + "ct ion", + "e nd", + "en d", + "Ġ de", + "Ġd e", + "0 0", + "i th", + "it h", + "o ut", + "ou t", + "t urn", + "tu rn", + "tur n", + "o ur", + "ou r", + "Ġ ĠĠĠĠ", + "ĠĠ ĠĠĠ", + "ĠĠĠĠ Ġ", + "ĠĠĠ ĠĠ", + "l ic", + "li c", + "r es", + "re s", + "p t", + "= =", + "Ġ this", + "Ġt his", + "Ġth is", + "Ġthi s", + "Ġ wh", + "Ġw h", + "Ġ if", + "Ġi f", + "Ġ D", + "v er", + "ve r", + "a ge", + "ag e", + "Ġ B", + "h t", + "e xt", + "ex t", + "= \"", + "Ġ that", + "Ġt hat", + "Ġth at", + "Ġtha t", + "* ***", + "** **", + "*** *", + "Ġ R", + "Ġ it", + "Ġi t", + "e ss", + "es s", + "Ġ F", + "Ġ r", + "o s", + "a nd", + "an d", + "Ġ as", + "Ġa s", + "e ct", + "ec t", + "k e", + "r om", + "ro m", + "Ġ //", + "Ġ/ /", + "c on", + "co n", + "Ġ L", + "( \"", + "q u", + "l ass", + "la ss", + "las s", + "Ġ with", + "Ġw ith", + "Ġwi th", + "Ġwit h", + "i z", + "d e", + "Ġ N", + "Ġ al", + "Ġa l", + "o p", + "u p", + "g et", + "ge t", + "Ġ }Ċ", + "Ġ} Ċ", + "i le", + "il e", + "Ġ an", + "Ġa n", + "a ta", + "at a", + "o re", + "or e", + "r i", + "Ġ pro", + "Ġp ro", + "Ġpr o", + "; čĊ", + "ĉ ĉĉĉ", + "ĉĉ ĉĉ", + "ĉĉĉ ĉ", + "t er", + "te r", + "a in", + "ai n", + "Ġ W", + "Ġ E", + "Ġ com", + "Ġc om", + "Ġco m", + "Ġ return", + "Ġre turn", + "Ġr eturn", + "Ġret urn", + "a rt", + "ar t", + "Ġ H", + "a ck", + "ac k", + "im port", + "imp ort", + "ub lic", + "ubl ic", + "Ġ or", + "Ġo r", + "e st", + "es t", + "m ent", + "me nt", + "men t", + "Ġ G", + "a ble", + "ab le", + "abl e", + "Ġ -", + "i ne", + "in e", + "i ll", + "il l", + "i nd", + "in d", + "e re", + "er e", + ": :", + "i ty", + "it y", + "Ġ +", + "Ġ tr", + "Ġt r", + "e lf", + "el f", + "i ght", + "ig ht", + "igh t", + "( '", + "o rm", + "or m", + "u lt", + "ul t", + "s tr", + "st r", + ". .", + "\" ,", + "Ġ you", + "Ġy ou", + "Ġyo u", + "y pe", + "yp e", + "p l", + "Ġ new", + "Ġn ew", + "Ġne w", + "Ġ j", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ from", + "Ġf rom", + "Ġfr om", + "Ġfro m", + "Ġ ex", + "Ġe x", + "Ġ O", + "2 0", + "l d", + "Ġ [", + "o c", + ": Ċ", + "Ġ se", + "Ġs e", + "Ġ le", + "Ġl e", + "- -------", + "-- ------", + "---- ----", + "--- -----", + "----- ---", + "------ --", + "------- -", + ". s", + "{ Ċ", + "' ,", + "a nt", + "an t", + "Ġ at", + "Ġa t", + "a se", + "as e", + ". c", + "Ġ ch", + "Ġc h", + "< /", + "a ve", + "av e", + "a ng", + "an g", + "Ġ are", + "Ġa re", + "Ġar e", + "Ġ int", + "Ġin t", + "Ġi nt", + "âĢ Ļ", + "_ t", + "e rt", + "er t", + "i al", + "ia l", + "a ct", + "ac t", + "} Ċ", + "i ve", + "iv e", + "o de", + "od e", + "o st", + "os t", + "Ġ class", + "Ġc lass", + "Ġcl ass", + "Ġclas s", + "Ġcla ss", + "Ġ not", + "Ġn ot", + "Ġno t", + "o g", + "o rd", + "or d", + "a lue", + "al ue", + "alu e", + "a ll", + "al l", + "f f", + "( );Ċ", + "() ;Ċ", + "(); Ċ", + "o nt", + "on t", + "i me", + "im e", + "a re", + "ar e", + "Ġ U", + "Ġ pr", + "Ġp r", + "Ġ :", + "i es", + "ie s", + "i ze", + "iz e", + "u re", + "ur e", + "Ġ by", + "Ġb y", + "i re", + "ir e", + "Ġ }ĊĊ", + "Ġ} ĊĊ", + "Ġ}Ċ Ċ", + ". p", + "Ġ sh", + "Ġs h", + "i ce", + "ic e", + "a st", + "as t", + "p tion", + "pt ion", + "t ring", + "tr ing", + "tri ng", + "o k", + "_ _", + "c l", + "# #", + "Ġ he", + "Ġh e", + "a rd", + "ar d", + ") .", + "Ġ @", + "i ew", + "ie w", + "ĉ ĉĉ", + "ĉĉ ĉ", + "Ġ was", + "Ġw as", + "Ġwa s", + "i p", + "t his", + "th is", + "Ġ u", + "Ġ The", + "ĠT he", + "ĠTh e", + "i de", + "id e", + "a ce", + "ac e", + "i b", + "a c", + "r ou", + "ro u", + "Ġ we", + "Ġw e", + "j ect", + "je ct", + "jec t", + "Ġ public", + "Ġp ublic", + "Ġpub lic", + "Ġpubli c", + "a k", + "v e", + "a th", + "at h", + "o id", + "oi d", + "Ġ =>", + "Ġ= >", + "u st", + "us t", + "q ue", + "qu e", + "Ġ res", + "Ġre s", + "Ġr es", + ") )", + "' s", + "Ġ k", + "a ns", + "an s", + "y st", + "ys t", + "un ction", + "unc tion", + "unct ion", + "* *******", + "** ******", + "**** ****", + "****** **", + "*** *****", + "***** ***", + "******* *", + "Ġ i", + "Ġ us", + "Ġu s", + "p p", + "1 0", + "o ne", + "on e", + "a il", + "ai l", + "= ===", + "== ==", + "=== =", + "n ame", + "na me", + "nam e", + "Ġ str", + "Ġs tr", + "Ġst r", + "Ġ /", + "Ġ &", + "a ch", + "ac h", + "d iv", + "di v", + "y stem", + "yst em", + "ys tem", + "e ll", + "el l", + "Ġ have", + "Ġh ave", + "Ġha ve", + "Ġhav e", + "e rr", + "er r", + "o uld", + "ou ld", + "oul d", + "u ll", + "ul l", + "p on", + "po n", + "Ġ J", + "_ p", + "Ġ ==", + "Ġ= =", + "i gn", + "ig n", + "S t", + ". Ċ", + "Ġ pl", + "Ġp l", + ") ;ĊĊ", + ");Ċ Ċ", + "); ĊĊ", + "f orm", + "fo rm", + "for m", + "p ut", + "pu t", + "o unt", + "ou nt", + "oun t", + "} ĊĊ", + "}Ċ Ċ", + "d d", + "i te", + "it e", + "Ġ get", + "Ġg et", + "Ġge t", + "r r", + "o me", + "om e", + "Ġ âĢ", + "Ġâ Ģ", + "a ram", + "ar am", + "ara m", + "c c", + "Ġ */", + "Ġ* /", + "E R", + "I n", + "l es", + "le s", + "_ s", + "o ng", + "on g", + "i e", + "Ġ can", + "Ġc an", + "Ġca n", + "Ġ V", + "e rv", + "er v", + "p r", + "Ġ un", + "Ġu n", + "r ow", + "ro w", + "b er", + "be r", + "Ġ do", + "Ġd o", + "l l", + "Ġ el", + "Ġe l", + "Ġ self", + "Ġs elf", + "Ġse lf", + "Ġsel f", + "a ted", + "at ed", + "ate d", + "a ry", + "ar y", + "Ġ .", + "' ]", + "u d", + "Ġ en", + "Ġe n", + "Ġ Th", + "ĠT h", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "t e", + "_ c", + "u ct", + "uc t", + "Ġ ab", + "Ġa b", + "o rk", + "or k", + ". get", + ".g et", + ".ge t", + "Ġ #", + "a w", + "r ess", + "re ss", + "res s", + "o b", + "N ame", + "Na me", + "Nam e", + "2 01", + "20 1", + "a pp", + "ap p", + "[ '", + "Ġ all", + "Ġa ll", + "Ġal l", + "o ry", + "or y", + "i tion", + "it ion", + "iti on", + "a nce", + "an ce", + "anc e", + "e ar", + "ea r", + "Ġ cont", + "Ġc ont", + "Ġcon t", + "Ġco nt", + "v ent", + "ve nt", + "ven t", + "i a", + "Ġ will", + "Ġw ill", + "Ġwi ll", + "Ġwil l", + "I N", + "Ġ ĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠ", + "r eturn", + "re turn", + "ret urn", + "Ġ ", + "\" ,Ċ", + "\", Ċ", + "e c", + "Ġ In", + "ĠI n", + "p h", + "Ġ |", + "_ f", + "Ġ var", + "Ġv ar", + "Ġva r", + "e nce", + "en ce", + "enc e", + "I d", + "r ee", + "re e", + "i nk", + "in k", + "l ect", + "le ct", + "lec t", + "u g", + "e th", + "et h", + "Ġ else", + "Ġe lse", + "Ġel se", + "Ġels e", + "- ---------------", + "-- --------------", + "---- ------------", + "-------- --------", + "--- -------------", + "------------ ----", + "----- -----------", + "---------- ------", + "------ ----------", + "----------- -----", + "------------- ---", + "------- ---------", + "--------- -------", + "--------------- -", + "-------------- --", + "1 9", + "c ont", + "con t", + "co nt", + "Ġ so", + "Ġs o", + "a tic", + "at ic", + "ati c", + "Ġ lo", + "Ġl o", + "p ro", + "pr o", + "t on", + "to n", + "s s", + "o wn", + "ow n", + "a bel", + "ab el", + "abe l", + "o int", + "oin t", + "oi nt", + "o us", + "ou s", + "e ld", + "el d", + "S T", + "T he", + "Th e", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "R E", + "\" :", + "o lor", + "ol or", + "olo r", + "t p", + "e g", + "k ey", + "ke y", + "u de", + "ud e", + "Ġ St", + "ĠS t", + "o und", + "ou nd", + "oun d", + "Ġ ar", + "Ġa r", + "\" );Ċ", + "\") ;Ċ", + "\"); Ċ", + "e ner", + "en er", + "ene r", + "s er", + "se r", + "1 1", + "b ject", + "bj ect", + "es sage", + "ess age", + "essa ge", + "f er", + "fe r", + "Ġ more", + "Ġm ore", + "Ġmor e", + "Ġmo re", + "at ions", + "ation s", + "atio ns", + "ati ons", + "e nts", + "en ts", + "ent s", + "Ġ his", + "Ġh is", + "Ġhi s", + "Ġ they", + "Ġt hey", + "Ġth ey", + "Ġthe y", + ". S", + "Ġ Y", + "u se", + "us e", + "n e", + "i sh", + "is h", + "o ld", + "ol d", + "_ d", + "i o", + "i eld", + "ie ld", + "iel d", + "Ġ per", + "Ġp er", + "Ġpe r", + "C ont", + "Con t", + "Co nt", + "in gs", + "ing s", + "# ###", + "## ##", + "### #", + "Ġ data", + "Ġd ata", + "Ġda ta", + "Ġdat a", + "Ġ sa", + "Ġs a", + "e f", + "f o", + "Ġ one", + "Ġo ne", + "Ġon e", + "e ng", + "en g", + "Ġ dis", + "Ġd is", + "Ġdi s", + "A T", + "Ġ name", + "Ġn ame", + "Ġna me", + "Ġnam e", + "Ġ true", + "Ġtr ue", + "v al", + "va l", + "l ed", + "le d", + ". f", + "Ġ ne", + "Ġn e", + "Ġ end", + "Ġe nd", + "Ġen d", + "3 2", + ". T", + "1 6", + "c re", + "cr e", + "a rk", + "ar k", + "l og", + "lo g", + "E x", + "e rror", + "er ror", + "err or", + "erro r", + "_ id", + "_i d", + "ur re", + "urr e", + "a nge", + "an ge", + "ang e", + "Ġ null", + "Ġn ull", + "Ġnu ll", + "r ray", + "rr ay", + "Ġ my", + "Ġm y", + "p an", + "pa n", + "i ct", + "ic t", + "a tor", + "at or", + "ato r", + "V iew", + "Vi ew", + "L ist", + "Li st", + "ĉ return", + "ĉr eturn", + "ĉret urn", + "ĉre turn", + "âĢ Ŀ", + "Ġ pre", + "Ġp re", + "Ġpr e", + "Ġ x", + "c lude", + "cl ude", + "clud e", + "a rg", + "ar g", + "1 5", + "o v", + ". h", + "Ġ >", + "Ġ their", + "Ġthe ir", + "' )", + "i rst", + "ir st", + "irs t", + "i ck", + "ic k", + "g h", + "L E", + "O R", + "Ġ private", + "Ġpr ivate", + "Ġpriv ate", + "Ġprivat e", + "t em", + "te m", + "čĊ čĊ", + "u ser", + "us er", + "use r", + "Ġ )", + "c om", + "co m", + ". A", + "\" ;Ċ", + "\"; Ċ", + "Ġ id", + "Ġi d", + "r ead", + "re ad", + "rea d", + "Ġ who", + "Ġw ho", + "Ġwh o", + "_ b", + "\" >Ċ", + "\"> Ċ", + "Ġ time", + "Ġt ime", + "Ġtim e", + "Ġti me", + "Ġ man", + "Ġm an", + "Ġma n", + "r y", + "= =======", + "== ======", + "==== ====", + "=== =====", + "====== ==", + "===== ===", + "======= =", + "r oup", + "ro up", + "rou p", + "r op", + "ro p", + "p ublic", + "pub lic", + "v el", + "ve l", + "um ber", + "umb er", + "b le", + "bl e", + "Ġ which", + "Ġwh ich", + "** **************", + "**** ************", + "******** ********", + "************ ****", + "************** **", + "Ġ any", + "Ġa ny", + "Ġan y", + "Ġ false", + "Ġf alse", + "Ġfa lse", + "Ġfal se", + "Ġfals e", + "w e", + "Ġ value", + "Ġv alue", + "Ġval ue", + "Ġva lue", + "Ġvalu e", + "Ġ li", + "Ġl i", + "\" )", + "n der", + "nd er", + "nde r", + "g r", + "Ġ no", + "Ġn o", + "p aram", + "par am", + "pa ram", + "para m", + "2 5", + "f ig", + "fi g", + ". com", + ".c om", + ".co m", + "Ġ app", + "Ġa pp", + "Ġap p", + "_ l", + "i ons", + "ion s", + "io ns", + ". D", + "Ġ Ch", + "ĠC h", + "Ġ about", + "Ġa bout", + "Ġab out", + "Ġ add", + "Ġa dd", + "Ġad d", + "Ġ su", + "Ġs u", + "Ġ string", + "Ġs tring", + "Ġst ring", + "Ġstr ing", + "Ġstri ng", + "I D", + "Ġ over", + "Ġo ver", + "Ġov er", + "s tring", + "st ring", + "str ing", + "stri ng", + ". l", + "our ce", + "0 00", + "00 0", + "_ C", + "] Ċ", + "Ġ qu", + "Ġq u", + "Ġ String", + "ĠS tring", + "ĠSt ring", + "ĠStr ing", + "c a", + "S E", + "Ġ ro", + "Ġr o", + "s h", + "u al", + "ua l", + "T ype", + "Typ e", + "Ty pe", + "s on", + "so n", + "n ew", + "ne w", + "e rn", + "er n", + "Ġ ag", + "Ġa g", + "A R", + "] ;Ċ", + "]; Ċ", + "] .", + "Ġ ?", + "i cal", + "ic al", + "ica l", + "Ġ des", + "Ġd es", + "Ġde s", + "u th", + "ut h", + "i x", + "a ys", + "ay s", + "Ġ type", + "Ġt ype", + "Ġtyp e", + "Ġty pe", + "' t", + "a ult", + "au lt", + "aul t", + "Ġ inter", + "Ġin ter", + "Ġint er", + "Ġinte r", + "v ar", + "va r", + ". b", + "Ġ part", + "Ġp art", + "Ġpar t", + "Ġpa rt", + ". d", + "ur rent", + "urre nt", + "urr ent", + "I T", + "E N", + "3 0", + "e nc", + "en c", + "( f", + "r a", + "v alue", + "val ue", + "va lue", + "valu e", + "c ho", + "ch o", + "1 8", + "ut ton", + "utt on", + "utto n", + "o se", + "os e", + "1 4", + "Ġ !=", + "Ġ! =", + "a ter", + "at er", + "ate r", + "à ©", + "re ate", + "reat e", + "rea te", + "o ll", + "ol l", + "p os", + "po s", + "y le", + "yl e", + "n g", + "A L", + "u sing", + "us ing", + "usi ng", + "a mes", + "am es", + "ame s", + "Ġ {čĊ", + "Ġ{ čĊ", + "a tes", + "at es", + "ate s", + "e ly", + "el y", + "Ġ work", + "Ġw ork", + "Ġwor k", + "Ġwo rk", + "Ġ em", + "Ġe m", + "i nal", + "in al", + "ina l", + "Ġ sp", + "Ġs p", + "Ġ when", + "Ġw hen", + "Ġwh en", + "Ġwhe n", + ". set", + ".s et", + ".se t", + "Ġ ĠĠĠĠĠ", + "ĠĠ ĠĠĠĠ", + "ĠĠĠĠ ĠĠ", + "ĠĠĠ ĠĠĠ", + "ĠĠĠĠĠ Ġ", + ") :Ċ", + "): Ċ", + "t o", + "q uire", + "qu ire", + "quir e", + "qui re", + "ind ow", + "indo w", + "l ement", + "le ment", + "lem ent", + "lemen t", + "leme nt", + "p ect", + "pe ct", + "pec t", + "a sh", + "as h", + "[ i", + "Ġ use", + "Ġu se", + "Ġus e", + ". F", + "p ec", + "pe c", + "Ġ ad", + "Ġa d", + "o ve", + "ov e", + "ce ption", + "cept ion", + "cep tion", + "e ngth", + "en gth", + "eng th", + "in clude", + "inc lude", + "incl ude", + "inclu de", + "a der", + "ad er", + "ade r", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "at us", + "atu s", + "T h", + "i tle", + "it le", + "r it", + "ri t", + "v oid", + "vo id", + "( ).", + "() .", + "( Ċ", + "Ġ off", + "Ġo ff", + "Ġof f", + "Ġ other", + "Ġo ther", + "Ġot her", + "Ġ &&", + "Ġ& &", + "' ;Ċ", + "'; Ċ", + "m s", + "Ġ been", + "Ġb een", + "Ġbe en", + "Ġbee n", + "Ġ te", + "Ġt e", + "m l", + "c o", + "n c", + "1 3", + "er vice", + "erv ice", + "Ġ %", + "* *Ċ", + "** Ċ", + "a nn", + "an n", + "a de", + "ad e", + "Ċ ĊĊĊ", + "ĊĊ ĊĊ", + "ĊĊĊ Ċ", + "l ock", + "lo ck", + "loc k", + "con st", + "co nst", + "cons t", + "1 00", + "10 0", + "p onse", + "pon se", + "pons e", + "Ġ sup", + "Ġs up", + "Ġsu p", + "+ +", + "d ate", + "da te", + "dat e", + "Ġ acc", + "Ġa cc", + "Ġac c", + "Ġ had", + "Ġh ad", + "Ġha d", + "Ġ bu", + "Ġb u", + "2 00", + "20 0", + "Ġ Re", + "ĠR e", + "Ġ were", + "Ġw ere", + "Ġwe re", + "Ġwer e", + "Ġ file", + "Ġf ile", + "Ġfil e", + "Ġfi le", + "Ġ would", + "Ġw ould", + "Ġwo uld", + "Ġ âĢľ", + "ĠâĢ ľ", + "v en", + "ve n", + "i ss", + "is s", + "Ġ our", + "Ġo ur", + "Ġou r", + "c lass", + "cl ass", + "cla ss", + "clas s", + "r aw", + "ra w", + "Ġ year", + "Ġy ear", + "Ġye ar", + "D ata", + "Da ta", + "Dat a", + "Ġ val", + "Ġv al", + "Ġva l", + "Ġ some", + "Ġs ome", + "Ġso me", + "Ġsom e", + "f ter", + "ft er", + "fte r", + "y s", + "Ġ ///", + "Ġ// /", + "Ġ/ //", + "r ound", + "ro und", + "rou nd", + "v iew", + "vi ew", + "vie w", + "Ġ pe", + "Ġp e", + "Ġ there", + "Ġt here", + "Ġth ere", + "Ġthe re", + "Ġther e", + "Ġ said", + "Ġs aid", + "Ġsa id", + "Ġsai d", + "d u", + "o f", + "l ine", + "li ne", + "lin e", + "/ *", + "d uct", + "du ct", + "duc t", + "Ġ her", + "Ġh er", + "Ġhe r", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "R es", + "Re s", + "Ġ co", + "Ġc o", + "Ġ comm", + "Ġc omm", + "Ġcom m", + "Ġco mm", + "i se", + "is e", + "m in", + "mi n", + "Ġ ĠĠĠĊ", + "ĠĠ ĠĠĊ", + "ĠĠĠĠ Ċ", + "ĠĠĠ ĠĊ", + "# include", + "et hod", + "eth od", + ". P", + "u te", + "ut e", + "Ġ ass", + "Ġa ss", + "Ġas s", + "I nt", + "In t", + "a sk", + "as k", + "l oc", + "lo c", + "Ġ like", + "Ġl ike", + "Ġli ke", + "Ġlik e", + "o dy", + "od y", + "Ġ let", + "Ġl et", + "Ġle t", + "l oad", + "lo ad", + "Ġ am", + "Ġa m", + "r ol", + "ro l", + "Ġ gr", + "Ġg r", + "y p", + "Ġ also", + "Ġal so", + "Ġals o", + "Ġ It", + "ĠI t", + "u rl", + "ur l", + "i fic", + "if ic", + "ifi c", + "o rs", + "or s", + "_ P", + "_ n", + "i gh", + "ig h", + "Ġ than", + "Ġt han", + "Ġth an", + "Ġtha n", + "C om", + "Co m", + "A N", + "U L", + "a ting", + "at ing", + "ati ng", + "atin g", + "1 7", + "Ġ This", + "ĠT his", + "ĠTh is", + "ĠThi s", + "r ef", + "re f", + "_ S", + "Ġ static", + "Ġst atic", + "Ġstat ic", + "Ġsta tic", + "Ġstati c", + "r oll", + "ro ll", + "rol l", + "Ġ just", + "Ġj ust", + "Ġju st", + "Ġjus t", + "Ġ result", + "Ġres ult", + "i an", + "ia n", + "id th", + "Ġ them", + "Ġt hem", + "Ġth em", + "Ġthe m", + ") );Ċ", + ")) ;Ċ", + ")); Ċ", + "d er", + "de r", + "re ak", + "rea k", + "C on", + "Co n", + ": //", + ":/ /", + "u le", + "ul e", + ". ..", + ".. .", + "a rch", + "ar ch", + "arc h", + "e ment", + "em ent", + "eme nt", + "emen t", + "Ġ <<", + "Ġ< <", + "5 0", + "u sh", + "us h", + "en se", + "ens e", + "a rr", + "ar r", + "Ġ into", + "Ġin to", + "Ġint o", + "c ess", + "ce ss", + "ces s", + "a mp", + "am p", + "i ed", + "ie d", + "u ment", + "um ent", + "ume nt", + "umen t", + "Ġ \\", + "] ,", + "w o", + "a ls", + "al s", + "Ġ what", + "Ġw hat", + "Ġwh at", + "a nc", + "an c", + "V alue", + "Val ue", + "Va lue", + "= '", + "o lum", + "ol um", + "olu m", + "Ġ pos", + "Ġp os", + "Ġpo s", + "a ges", + "ag es", + "age s", + "a yer", + "ay er", + "aye r", + "Ġ sc", + "Ġs c", + "u es", + "ue s", + "\" )Ċ", + "\") Ċ", + "_ T", + "Ġ list", + "Ġl ist", + "Ġli st", + "Ġlis t", + "( s", + "Ġ case", + "Ġc ase", + "Ġca se", + "Ġcas e", + "C h", + "ĉ ĉĉĉĉ", + "ĉĉ ĉĉĉ", + "ĉĉĉĉ ĉ", + "ĉĉĉ ĉĉ", + "//// ////", + "/// /////", + "///// ///", + "p onent", + "pon ent", + "pone nt", + "Ġ z", + "Ġ kn", + "Ġk n", + "l et", + "le t", + "D E", + "r ed", + "re d", + "Ġ fe", + "Ġf e", + "Ġ },Ċ", + "Ġ} ,Ċ", + "Ġ}, Ċ", + "Ġ ,", + "( t", + "Ġ first", + "Ġf irst", + "Ġfi rst", + "Ġfir st", + "' );Ċ", + "') ;Ċ", + "'); Ċ", + "w ord", + "wo rd", + "wor d", + "Ġ import", + "Ġim port", + "Ġimp ort", + "Ġ act", + "Ġa ct", + "Ġac t", + "Ġ char", + "Ġc har", + "Ġch ar", + "Ġcha r", + "C T", + "Ġ Tr", + "ĠT r", + "o ple", + "op le", + "opl e", + "= {", + "ĉ f", + "2 4", + "i ent", + "ie nt", + "ien t", + "c ent", + "ce nt", + "cen t", + ". j", + "l ection", + "le ction", + "lect ion", + "lec tion", + ") )Ċ", + ")) Ċ", + "Ġ only", + "Ġon ly", + "Ġ print", + "Ġp rint", + "Ġpr int", + "Ġpri nt", + "Ġprin t", + "m er", + "me r", + ". W", + "o ck", + "oc k", + "Ġ --", + "Ġ- -", + "T ext", + "Te xt", + "Tex t", + "Ġ op", + "Ġo p", + "a nk", + "an k", + "Ġ its", + "Ġit s", + "Ġi ts", + "Ġ back", + "Ġb ack", + "Ġba ck", + "Ġbac k", + "[ \"", + "Ġ need", + "Ġn eed", + "Ġne ed", + "Ġ cl", + "Ġc l", + "Ġ sub", + "Ġs ub", + "Ġsu b", + "Ġ la", + "Ġl a", + "( (", + ". \"", + "O bject", + "Ob ject", + "Obj ect", + "Ġ start", + "Ġst art", + "Ġstar t", + "Ġsta rt", + "f ile", + "fi le", + "fil e", + "( self", + "(s elf", + "(se lf", + "(sel f", + "n er", + "ne r", + "e y", + "Ġ user", + "Ġu ser", + "Ġus er", + "Ġuse r", + "Ġ ent", + "Ġe nt", + "Ġen t", + "Ġ Com", + "ĠC om", + "ĠCo m", + "i ts", + "it s", + "Ġ Con", + "ĠC on", + "ĠCo n", + "o uble", + "ou ble", + "oub le", + "o wer", + "ow er", + "owe r", + "i tem", + "it em", + "ite m", + "v ery", + "ver y", + "ve ry", + "Ġ We", + "ĠW e", + "6 4", + "l ick", + "lic k", + "li ck", + "Ġ Q", + "p hp", + "ph p", + "t tp", + "tt p", + "' :", + "i cs", + "ic s", + "Ġ under", + "Ġu nder", + "Ġun der", + "Ġund er", + "Ġunde r", + "Ġ *Ċ", + "Ġ* Ċ", + ". L", + ") ;", + "i ces", + "ic es", + "ice s", + "Ġ reg", + "Ġre g", + "Ġr eg", + ") čĊ", + "ĉ public", + "ĉp ublic", + "ĉpub lic", + "S S", + "Ġ then", + "Ġt hen", + "Ġth en", + "Ġthe n", + "r eat", + "re at", + "rea t", + "i ous", + "io us", + "iou s", + ". G", + "e k", + "i rect", + "ir ect", + "ire ct", + "h eck", + "he ck", + "hec k", + "cri pt", + "cr ipt", + "n ing", + "ni ng", + "nin g", + "Ġ Un", + "ĠU n", + "Ġ may", + "Ġm ay", + "Ġma y", + "Ġ Wh", + "ĠW h", + "B o", + "I tem", + "It em", + "str uct", + "stru ct", + ". st", + ".s t", + "r eam", + "re am", + "rea m", + "i ble", + "ib le", + "lo at", + "Ġ org", + "Ġo rg", + "Ġor g", + "u nd", + "un d", + "s um", + "su m", + "_ in", + "_i n", + ". ./", + ".. /", + "_ M", + "Ġ how", + "Ġh ow", + "Ġho w", + "r ite", + "ri te", + "rit e", + "' Ċ", + "T o", + "4 0", + "w w", + "Ġ people", + "Ġpe ople", + "in dex", + "ind ex", + "inde x", + ". n", + "h ttp", + "ht tp", + "htt p", + "( m", + "e ctor", + "ect or", + "ec tor", + "Ġ ind", + "Ġin d", + "Ġi nd", + "Ġ jav", + "Ġj av", + "Ġja v", + "] ,Ċ", + "], Ċ", + "Ġ He", + "ĠH e", + "_ st", + "_s t", + "f ul", + "fu l", + "o le", + "ol e", + ") {Ċ", + "){ Ċ", + "Ġ should", + "Ġsh ould", + "Ġsho uld", + "o py", + "op y", + "e lp", + "el p", + "i er", + "ie r", + "_ name", + "_n ame", + "_na me", + "er son", + "ers on", + "I ON", + "IO N", + "o te", + "ot e", + "Ġ test", + "Ġt est", + "Ġte st", + "Ġtes t", + "Ġ bet", + "Ġb et", + "Ġbe t", + "r ror", + "rr or", + "u lar", + "ul ar", + "ula r", + "ã Ģ", + "Ġ Ð", + "b s", + "t ing", + "ti ng", + "tin g", + "Ġ make", + "Ġm ake", + "Ġma ke", + "Ġmak e", + "T r", + "Ġ after", + "Ġa fter", + "Ġaf ter", + "Ġaft er", + "ar get", + "arg et", + "arge t", + "R O", + "ol umn", + "olum n", + "olu mn", + "r c", + "_ re", + "_r e", + "de fine", + "def ine", + "2 2", + "Ġ right", + "Ġr ight", + "Ġrig ht", + "Ġri ght", + "r ight", + "ri ght", + "rig ht", + "d ay", + "da y", + "Ġ long", + "Ġl ong", + "Ġlo ng", + "Ġlon g", + "[ ]", + "( p", + "t d", + "c ond", + "con d", + "co nd", + "Ġ Pro", + "ĠP ro", + "ĠPr o", + "Ġ rem", + "Ġre m", + "Ġr em", + "pt ions", + "ption s", + "v id", + "vi d", + ". g", + "Ġ ext", + "Ġe xt", + "Ġex t", + "Ġ __", + "Ġ_ _", + "' )Ċ", + "') Ċ", + "p ace", + "pa ce", + "pac e", + "m p", + "Ġ min", + "Ġm in", + "Ġmi n", + "st ance", + "sta nce", + "stan ce", + "a ir", + "ai r", + "a ction", + "act ion", + "ac tion", + "w h", + "t ype", + "ty pe", + "typ e", + "u til", + "ut il", + "uti l", + "a it", + "ai t", + "< ?", + "I C", + "t ext", + "te xt", + "tex t", + "Ġ ph", + "Ġp h", + "Ġ fl", + "Ġf l", + ". M", + "c cess", + "cc ess", + "cce ss", + "b r", + "f ore", + "fo re", + "for e", + "ers ion", + ") ,Ċ", + "), Ċ", + ". re", + ".r e", + "a teg", + "at eg", + "ate g", + "Ġ loc", + "Ġl oc", + "Ġlo c", + "i ns", + "in s", + "- s", + "t rib", + "tr ib", + "tri b", + "Ġ Int", + "ĠI nt", + "ĠIn t", + "Ġ array", + "Ġa rray", + "Ġar ray", + "Ġarr ay", + ", \"", + "P ro", + "Pr o", + "( c", + "ess ion", + "> ĊĊ", + ">Ċ Ċ", + "Ġ she", + "Ġs he", + "Ġsh e", + "\" ]", + "a ph", + "ap h", + "Ġ exp", + "Ġe xp", + "Ġex p", + "er ty", + "ert y", + "Ġ Se", + "ĠS e", + "Ġ par", + "Ġp ar", + "Ġpa r", + "u nc", + "un c", + "E T", + "Ġ read", + "Ġre ad", + "Ġr ead", + "p rint", + "pr int", + "pri nt", + "Ġ rel", + "Ġre l", + "Ġr el", + "Ġ form", + "Ġf orm", + "Ġfor m", + "Ġfo rm", + "Ġ dr", + "Ġd r", + "Ex ception", + "Except ion", + "in put", + "inp ut", + "Ġ trans", + "Ġt rans", + "Ġtr ans", + "Ġtra ns", + "Ġtran s", + "# #######", + "## ######", + "#### ####", + "### #####", + "##### ###", + "###### ##", + "####### #", + "or der", + "ord er", + "orde r", + "B y", + "Ġ aw", + "Ġa w", + "i ties", + "it ies", + "iti es", + "u ff", + "uf f", + "p lay", + "pl ay", + "pla y", + ". add", + ".a dd", + ".ad d", + "Ġ âĢĵ", + "ĠâĢ ĵ", + "Ġ want", + "Ġw ant", + "Ġwa nt", + "Ġwan t", + "Ġ comp", + "Ġc omp", + "Ġcom p", + "Ġco mp", + "m ents", + "ment s", + "me nts", + "men ts", + "Ġ ||", + "Ġ| |", + "a z", + "b e", + "Ġ number", + "Ġn umber", + "Ġnum ber", + "Ġnumb er", + "Ġ require", + "Ġre quire", + "Ġreq uire", + "Ġrequ ire", + "Ġ Ex", + "ĠE x", + "6 0", + "Ġ col", + "Ġc ol", + "Ġco l", + "Ġ key", + "Ġk ey", + "Ġke y", + "em ber", + "emb er", + "Ġ two", + "Ġt wo", + "Ġtw o", + "Ġ size", + "Ġs ize", + "Ġsi ze", + "Ġsiz e", + "Ġ where", + "Ġw here", + "Ġwh ere", + "Ġwhe re", + "U T", + "res ult", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "o ugh", + "ou gh", + "oug h", + "or ld", + "o od", + "oo d", + "u ch", + "uc h", + "at ive", + "ati ve", + "ativ e", + "g er", + "ge r", + "a rent", + "ar ent", + "are nt", + "aren t", + "Ġ /*", + "Ġ/ *", + "Ġ arg", + "Ġa rg", + "Ġar g", + "Ġ while", + "Ġwh ile", + "2 3", + "( this", + "(t his", + "(th is", + "Ġ rec", + "Ġre c", + "Ġr ec", + "Ġ dif", + "Ġd if", + "Ġdi f", + "St ate", + "Stat e", + "Ġ spec", + "Ġs pec", + "Ġsp ec", + "Ġspe c", + "r ide", + "ri de", + "rid e", + "_ F", + "Ġ look", + "Ġl ook", + "Ġlo ok", + "A M", + "il ity", + "ilit y", + "ili ty", + "e ter", + "et er", + "ete r", + "âĢĻ t", + "Ċ ĊĊ", + "ĊĊ Ċ", + "ay out", + "ayo ut", + "-- ------------------------------", + "---- ----------------------------", + "---------------- ----------------", + "------------ --------------------", + "---------------------------- ----", + "------------------------------ --", + "-------------------- ------------", + "a ger", + "ag er", + "age r", + "Ġ could", + "Ġc ould", + "Ġco uld", + "Ġcou ld", + "Ġ br", + "Ġb r", + "e nds", + "en ds", + "end s", + "u res", + "ur es", + "ure s", + "Ġ know", + "Ġk now", + "Ġkn ow", + "e ts", + "et s", + "Ġ If", + "ĠI f", + "Ġ Sh", + "ĠS h", + ". w", + "b ack", + "ba ck", + "bac k", + "Ġ ser", + "Ġs er", + "Ġse r", + "Ġ +=", + "Ġ+ =", + "Ġ fr", + "Ġf r", + "( ));Ċ", + "() );Ċ", + "()) ;Ċ", + "()); Ċ", + "Ġ hand", + "Ġh and", + "Ġha nd", + "Ġhan d", + "I nd", + "In d", + "U LL", + "UL L", + "I m", + "( );ĊĊ", + "() ;ĊĊ", + "();Ċ Ċ", + "(); ĊĊ", + "Ġ most", + "Ġm ost", + "Ġmo st", + "Ġmos t", + "Ġ try", + "Ġt ry", + "Ġtr y", + "Ġ now", + "Ġn ow", + "Ġno w", + "r ough", + "ro ugh", + "rou gh", + "> čĊ", + "ack age", + "Ġ him", + "Ġh im", + "Ġhi m", + ". _", + "i fy", + "if y", + "Ġ break", + "Ġb reak", + "Ġbre ak", + "Ġ );Ċ", + "Ġ) ;Ċ", + "Ġ); Ċ", + "r en", + "re n", + "# define", + "i tt", + "it t", + "Ġ ap", + "Ġa p", + "ĉ c", + "( n", + "Ġ You", + "ĠY ou", + "ĠYo u", + ": ĊĊ", + ":Ċ Ċ", + "- m", + "Ġ every", + "Ġe very", + "Ġever y", + "Ġev ery", + "Ġeve ry", + "us tom", + "ust om", + "usto m", + "l ient", + "li ent", + "lie nt", + "lien t", + "oc ument", + "ocu ment", + "cri ption", + "cript ion", + "E rror", + "Err or", + "Er ror", + "Erro r", + "- b", + "Ð ¾", + "] [", + "9 9", + "t rans", + "tr ans", + "tra ns", + "tran s", + "Ġ point", + "Ġp oint", + "Ġpo int", + "Ġpoi nt", + "Ġ std", + "Ġs td", + "Ġst d", + "Ġ fil", + "Ġf il", + "Ġfi l", + "T ime", + "Tim e", + "Ti me", + "8 0", + "Ġ mod", + "Ġm od", + "Ġmo d", + "Ġ ->", + "Ġ- >", + "Ġ error", + "Ġe rror", + "Ġerr or", + "Ġer ror", + "Ġerro r", + "a h", + "Ġ text", + "Ġt ext", + "Ġte xt", + "Ġtex t", + "r oller", + "ro ller", + "rol ler", + "roll er", + "l ose", + "lo se", + "los e", + "q l", + "Ġ pol", + "Ġp ol", + "Ġpo l", + "> < /", + "Ġ show", + "Ġs how", + "Ġsh ow", + "Ġsho w", + "U ser", + "Us er", + "Use r", + "a sed", + "as ed", + "ase d", + "Ġ {ĊĊ", + "Ġ{ ĊĊ", + "Ġ{Ċ Ċ", + "Ġ find", + "Ġf ind", + "Ġfin d", + "Ġfi nd", + "Ð °", + "E D", + "s pan", + "sp an", + "spa n", + "e nu", + "en u", + "Ġ current", + "Ġc urrent", + "Ġcur rent", + "Ġcurr ent", + "Ġ used", + "Ġu sed", + "Ġus ed", + "Ġuse d", + "c ept", + "ce pt", + "cep t", + "cl ud", + "Ġ play", + "Ġp lay", + "Ġpl ay", + "Ġpla y", + "Ġ log", + "Ġl og", + "Ġlo g", + "u tion", + "ut ion", + "uti on", + "f l", + "Ġ see", + "Ġs ee", + "Ġse e", + "ind ows", + "indow s", + "indo ws", + "Ġ help", + "Ġh elp", + "Ġhe lp", + "Ġhel p", + "Ġ these", + "Ġth ese", + "Ġthe se", + "Ġ pass", + "Ġp ass", + "Ġpas s", + "Ġpa ss", + "Ġ down", + "Ġd own", + "Ġdo wn", + "Ġdow n", + "Ġ even", + "Ġe ven", + "Ġev en", + "Ġeve n", + "a son", + "as on", + "aso n", + "u ild", + "ui ld", + "uil d", + "f rom", + "fr om", + "( d", + "Ġ bl", + "Ġb l", + "l abel", + "la bel", + "lab el", + "e lse", + "el se", + "els e", + "Ð µ", + "Ġ (!", + "Ġ( !", + "i zed", + "iz ed", + "ize d", + "( ),", + "() ,", + "Ġ ob", + "Ġo b", + "Ġ item", + "Ġit em", + "Ġi tem", + "u mp", + "um p", + "U R", + "o rn", + "or n", + "Ġ don", + "Ġd on", + "Ġdo n", + "S e", + "m an", + "ma n", + "2 7", + "am ple", + "amp le", + "t n", + "= ===============", + "== ==============", + "==== ============", + "======== ========", + "=== =============", + "============ ====", + "============= ===", + "=========== =====", + "============== ==", + "========= =======", + "========== ======", + "=============== =", + "====== ==========", + "===== ===========", + "======= =========", + "H e", + "g ram", + "gr am", + "gra m", + "Ġ did", + "Ġd id", + "Ġdi d", + "w n", + "_ h", + "i ver", + "iv er", + "ive r", + "Ġ sm", + "Ġs m", + "Ġ through", + "Ġth rough", + "Ġthr ough", + "Ġthro ugh", + "Ġ An", + "ĠA n", + "c he", + "ch e", + "Ġ inv", + "Ġin v", + "Ġi nv", + "o use", + "ou se", + "ous e", + "Ġ es", + "Ġe s", + "Ġ New", + "ĠN ew", + "ĠNe w", + "ex port", + "exp ort", + "expo rt", + "m ary", + "ma ry", + "mar y", + "u to", + "ut o", + "l er", + "le r", + "Ġ last", + "Ġl ast", + "Ġla st", + "Ġlas t", + "Ġ event", + "Ġe vent", + "Ġeven t", + "Ġev ent", + "Ġeve nt", + "t ry", + "tr y", + "ï ¼", + "i ly", + "il y", + "ig ned", + "ign ed", + "igne d", + "i nes", + "in es", + "ine s", + "ol low", + "oll ow", + "ollo w", + "ic ense", + "icens e", + "s ole", + "so le", + "sol e", + "l ear", + "le ar", + "lea r", + "( int", + "(i nt", + "(in t", + "Ġ again", + "Ġa gain", + "Ġag ain", + "Ġ high", + "Ġh igh", + "Ġhi gh", + "h tml", + "ht ml", + "htm l", + "In dex", + "Ind ex", + "ut hor", + "uth or", + "Ġ /**Ċ", + "Ġ/ **Ċ", + "Ġ/* *Ċ", + "Ġ/** Ċ", + "Ġ line", + "Ġl ine", + "Ġli ne", + "Ġlin e", + "E vent", + "Even t", + "Ev ent", + "_ D", + "Ġ does", + "Ġd oes", + "Ġdo es", + "Ġdoe s", + "it ial", + "iti al", + "itia l", + "Ġ cr", + "Ġc r", + "a rs", + "ar s", + "2 8", + "Ġ tem", + "Ġt em", + "Ġte m", + "c ause", + "ca use", + "f ace", + "fa ce", + "fac e", + "Ġ `", + "_ A", + "B utton", + "But ton", + "a ture", + "at ure", + "atur e", + "atu re", + "ect ed", + "ec ted", + "E S", + "i ster", + "is ter", + "ist er", + "iste r", + "ĉ Ċ", + "Ġ before", + "Ġb efore", + "Ġbe fore", + "Ġbef ore", + "a le", + "al e", + "o ther", + "ot her", + "oth er", + "Ġ because", + "Ġb ecause", + "Ġbe cause", + "Ġbec ause", + "r oid", + "ro id", + "roi d", + "Ġ ed", + "Ġe d", + "i k", + "r eg", + "re g", + "Ġ De", + "ĠD e", + "Ġ dist", + "Ġd ist", + "Ġdis t", + "Ġdi st", + "} ,Ċ", + "}, Ċ", + "Ġ state", + "Ġst ate", + "Ġstat e", + "Ġsta te", + "Ġ cons", + "Ġc ons", + "Ġcon s", + "Ġco ns", + "r int", + "ri nt", + "rin t", + "a tt", + "at t", + "Ġ here", + "Ġh ere", + "Ġhe re", + "Ġher e", + "i ned", + "in ed", + "ine d", + "Ġ final", + "Ġf inal", + "Ġfin al", + "Ġfi nal", + "Ġ \"\"", + "Ġ\" \"", + "K ey", + "Ke y", + "L O", + "Ġ del", + "Ġd el", + "Ġde l", + "p ty", + "pt y", + "th ing", + "thin g", + "2 6", + "Ġ And", + "ĠA nd", + "ĠAn d", + "Ġ run", + "Ġr un", + "Ġru n", + "Ġ X", + "y m", + ". app", + ".ap p", + ".a pp", + "Ġ very", + "Ġv ery", + "Ġver y", + "Ġve ry", + "c es", + "ce s", + "_ N", + "a red", + "ar ed", + "are d", + "w ard", + "wa rd", + "war d", + "l ist", + "li st", + "lis t", + "i ted", + "it ed", + "ite d", + "o log", + "ol og", + "olo g", + "it ch", + "B ox", + "Bo x", + "i fe", + "if e", + "3 3", + "Ġ ac", + "Ġa c", + "Ġ model", + "Ġm odel", + "Ġmod el", + "Ġmode l", + "Ġmo del", + "Ġ mon", + "Ġm on", + "Ġmo n", + "Ġ way", + "Ġw ay", + "Ġwa y", + "l ete", + "le te", + "let e", + "Ġ call", + "Ġc all", + "Ġcal l", + "Ġca ll", + "Ġ att", + "Ġa tt", + "Ġat t", + "Ġ cal", + "Ġc al", + "Ġca l", + "v ert", + "ver t", + "ve rt", + "Ġ dec", + "Ġd ec", + "Ġde c", + "l ease", + "le ase", + "lea se", + "o un", + "ou n", + "Ġ });Ċ", + "Ġ} );Ċ", + "Ġ}) ;Ċ", + "Ġ}); Ċ", + "f r", + "form ation", + "format ion", + "forma tion", + "e tail", + "et ail", + "eta il", + "Ġ num", + "Ġn um", + "Ġnu m", + "a j", + "qu ery", + "que ry", + "quer y", + "Ġ well", + "Ġw ell", + "Ġwe ll", + "Ġwel l", + "Ġ object", + "Ġo bject", + "Ġob ject", + "Ġobj ect", + "Ġ As", + "ĠA s", + "Ġ years", + "Ġy ears", + "Ġyear s", + "Ġye ars", + "C olor", + "Col or", + "Co lor", + "I S", + "Ġ default", + "Ġd efault", + "Ġde fault", + "Ġdef ault", + "Ġdefa ult", + "W h", + "Ġ ins", + "Ġin s", + "Ġi ns", + "a int", + "ain t", + "ai nt", + "Ġ java", + "Ġj ava", + "Ġjav a", + "Ġja va", + "Ġ sim", + "Ġs im", + "Ġsi m", + "Ġ Ar", + "ĠA r", + "m on", + "mo n", + "t il", + "ti l", + "( );čĊ", + "() ;čĊ", + "(); čĊ", + ") :", + "S et", + "Se t", + "2 9", + "at ter", + "att er", + "atte r", + "Ġ view", + "Ġv iew", + "Ġvi ew", + "Ġvie w", + "Ġ pres", + "Ġp res", + "Ġpr es", + "Ġpre s", + "a rray", + "ar ray", + "arr ay", + "arra y", + "W e", + "A t", + "Ġ bel", + "Ġb el", + "Ġbe l", + "Ġ many", + "Ġm any", + "Ġman y", + "Ġma ny", + "2 1", + "M an", + "Ma n", + "e nder", + "en der", + "end er", + "ende r", + "Ġ being", + "Ġb eing", + "Ġbe ing", + "Ġbei ng", + "Ġ good", + "Ġg ood", + "Ġgo od", + "Ġgoo d", + "ĉ ĉĉĉĉĉ", + "ĉĉ ĉĉĉĉ", + "ĉĉĉĉ ĉĉ", + "ĉĉĉ ĉĉĉ", + "ĉĉĉĉĉ ĉ", + "at ional", + "ation al", + "atio nal", + "ati onal", + "w are", + "wa re", + "war e", + ". log", + ".l og", + ".lo g", + "{ čĊ", + "Ġ using", + "Ġu sing", + "Ġus ing", + "_ B", + "Ġ :=", + "Ġ: =", + "_ w", + "i sts", + "is ts", + "ist s", + "l ish", + "li sh", + "lis h", + "Ġ stud", + "Ġst ud", + "Ġstu d", + "Ġ Al", + "ĠA l", + "Ġ gu", + "Ġg u", + "con fig", + "conf ig", + "u ring", + "ur ing", + "uri ng", + "t ime", + "ti me", + "tim e", + "o ken", + "ok en", + "oke n", + "ame space", + "ames pace", + "Ġ request", + "Ġre quest", + "Ġreq uest", + "Ġrequ est", + "Ġ child", + "Ġch ild", + "Ġchi ld", + "Ġ Ã", + "l ob", + "lo b", + "Ġ param", + "Ġp aram", + "Ġpar am", + "Ġpara m", + "Ġpa ram", + "Ġ }čĊ", + "Ġ} čĊ", + "0 1", + "Ġ echo", + "Ġe cho", + "Ġec ho", + "Ġech o", + "f unction", + "func tion", + "fun ction", + "**** ****************************", + "******** ************************", + "**************** ****************", + "************************ ********", + "******************** ************", + "**************************** ****", + "************ ********************", + "p s", + "E lement", + "El ement", + "Elem ent", + "Ele ment", + "a lk", + "al k", + "l ication", + "lic ation", + "li cation", + "lica tion", + "b y", + "S ize", + "Si ze", + "ra wing", + "raw ing", + "Ġ person", + "Ġp erson", + "Ġper son", + "Ġpers on", + "Ġperso n", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "\\ n", + "o bject", + "ob ject", + "obj ect", + "i nce", + "in ce", + "inc e", + "E n", + "F ile", + "Fi le", + "Fil e", + "u f", + "f fect", + "ff ect", + "ffe ct", + "A C", + "Ġ style", + "Ġst yle", + "Ġsty le", + "Ġstyl e", + "sum mary", + "summ ary", + "Ġ que", + "Ġqu e", + "Ġq ue", + "_ r", + "Ġ ($", + "Ġ( $", + "M odel", + "Mode l", + "Mod el", + "Mo del", + "i dent", + "id ent", + "ide nt", + "iden t", + "Ġ method", + "Ġm ethod", + "Ġmet hod", + "Ġmeth od", + "I L", + "o tt", + "ot t", + "l ess", + "le ss", + "les s", + "I NG", + "IN G", + "Ġ ()", + "Ġ( )", + "Ġ expect", + "Ġex pect", + "Ġexp ect", + "y nc", + "yn c", + "p ackage", + "pack age", + "3 5", + "u rs", + "ur s", + "Ġ prot", + "Ġp rot", + "Ġpro t", + "Ġpr ot", + ". /", + "p re", + "pr e", + "Ġ )Ċ", + "Ġ) Ċ", + "m a", + "Ġ sur", + "Ġs ur", + "Ġsu r", + "Ġ found", + "Ġf ound", + "Ġfo und", + "Ġfou nd", + "In fo", + "Inf o", + "p ar", + "pa r", + "i mes", + "im es", + "ime s", + ". e", + "a ins", + "ain s", + "ai ns", + "Ġ post", + "Ġp ost", + "Ġpos t", + "Ġpo st", + "- d", + "4 5", + "o lean", + "ol ean", + "ole an", + "Ġ sl", + "Ġs l", + "P E", + "Ġ such", + "Ġs uch", + "Ġsu ch", + "Ġsuc h", + "s elect", + "se lect", + "sel ect", + "a iner", + "ain er", + "ai ner", + "aine r", + "Ġ think", + "Ġth ink", + "Ġthin k", + "Ġthi nk", + "Ġd iffer", + "Ġdif fer", + "Ġdi ffer", + "Ġdiff er", + ". r", + "/ **Ċ", + "/* *Ċ", + "/** Ċ", + "F F", + "o ol", + "oo l", + "p late", + "pl ate", + "plat e", + "pla te", + "q ual", + "qu al", + "qua l", + "Ġ For", + "ĠF or", + "ĠFo r", + "Ġ much", + "Ġm uch", + "Ġmu ch", + "Ġmuc h", + "u c", + "( new", + "(n ew", + "(ne w", + "od ule", + "odu le", + "Ġ som", + "Ġs om", + "Ġso m", + "Ġ http", + "Ġh ttp", + "Ġht tp", + "Ġhtt p", + "Ġ List", + "ĠL ist", + "ĠLi st", + "ĠLis t", + "Ġ count", + "Ġc ount", + "Ġco unt", + "Ġcoun t", + "Ġcou nt", + "Ġ inst", + "Ġin st", + "Ġi nst", + "Ġins t", + "c har", + "ch ar", + "cha r", + "m it", + "mi t", + ". id", + ".i d", + "a king", + "ak ing", + "aki ng", + "akin g", + "Ġ gener", + "Ġg ener", + "Ġge ner", + "Ġgen er", + "Ġgene r", + "p x", + "v ice", + "vi ce", + "vic e", + "3 7", + "_ data", + "_d ata", + "_dat a", + "_da ta", + "Ġ NULL", + "ĠN ULL", + "ĠNU LL", + "} čĊ", + "i dd", + "id d", + "ãĢ Ĥ", + "Ġ med", + "Ġm ed", + "Ġme d", + "o rg", + "or g", + "i der", + "id er", + "ide r", + "a che", + "ac he", + "ach e", + "w ork", + "wo rk", + "wor k", + "Ġ check", + "Ġc heck", + "Ġch eck", + "Ġche ck", + "w een", + "we en", + "Ġ ((", + "Ġ( (", + "t he", + "th e", + "a nts", + "an ts", + "ant s", + "> <", + ". B", + "- c", + "Ġ open", + "Ġo pen", + "Ġop en", + "Ġ est", + "Ġe st", + "Ġes t", + "Ġ ĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĊ", + "Ġ next", + "Ġn ext", + "Ġne xt", + "Ġnex t", + "I M", + "Ñ Ĥ", + "O T", + "à ³", + "Ġ follow", + "Ġf ollow", + "Ġfol low", + "Ġfoll ow", + "c ontent", + "con tent", + "cont ent", + "conte nt", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ġin clud", + "Ġincl ud", + "Ġinclu d", + "H E", + "Ġ Res", + "ĠR es", + "ĠRe s", + "Ġ href", + "Ġh ref", + "Ġhr ef", + "Ð ¸", + "Ġ car", + "Ġc ar", + "Ġca r", + "y pes", + "ype s", + "yp es", + "i mage", + "im age", + "ima ge", + "imag e", + "U n", + "Ġ bool", + "Ġb ool", + "Ġbo ol", + "Ġboo l", + "A D", + "Ġ game", + "Ġg ame", + "Ġgam e", + "Ġga me", + ". Form", + ".F orm", + ".For m", + "r ows", + "ro ws", + "row s", + "* /", + "v elop", + "ve lop", + "vel op", + ". Drawing", + ".D rawing", + ".Draw ing", + "Ġ path", + "Ġp ath", + "Ġpat h", + "Ġpa th", + "is ion", + "isi on", + "Ġ each", + "Ġe ach", + "Ġea ch", + "Ġ Pl", + "ĠP l", + "_ type", + "_t ype", + "_typ e", + "_ty pe", + "P ath", + "Pa th", + "Pat h", + "n ection", + "ne ction", + "nect ion", + "Ġ av", + "Ġa v", + "' ).", + "') .", + "Ġ support", + "Ġs upport", + "Ġsup port", + "Ġsupp ort", + "E NT", + "EN T", + "r em", + "re m", + "\" ).", + "\") .", + "Ġ own", + "Ġo wn", + "Ġow n", + "Ġ cor", + "Ġc or", + "Ġco r", + "c ount", + "co unt", + "cou nt", + "m iss", + "mi ss", + "mis s", + "u ally", + "ual ly", + "Ġ mem", + "Ġm em", + "Ġme m", + "s td", + "st d", + "i ence", + "ie nce", + "ien ce", + "s earch", + "se arch", + "sea rch", + "\" ĊĊ", + "\"Ċ Ċ", + "F orm", + "For m", + "Fo rm", + "Ġ sex", + "Ġs ex", + "Ġse x", + "e name", + "en ame", + "ena me", + "Ġ sign", + "Ġs ign", + "Ġsi gn", + "Ġsig n", + "Ġ et", + "Ġe t", + "Ġ ĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠ ĠĠĠĠ", + "' ,'", + "', '", + "Ġ App", + "ĠA pp", + "ĠAp p", + "Ġ those", + "Ġth ose", + "Ġtho se", + "o ff", + "of f", + "Ġ err", + "Ġe rr", + "Ġer r", + "Ġ system", + "Ġs ystem", + "Ġsys tem", + "Ġsy stem", + "Ġsyst em", + "Ġ best", + "Ġb est", + "Ġbe st", + "Ġbes t", + "c ode", + "co de", + "cod e", + "Ġ same", + "Ġs ame", + "Ġsa me", + "Ġsam e", + "Ġ di", + "Ġd i", + "u ss", + "us s", + "Ġ create", + "Ġc reate", + "Ġcre ate", + "Ġcreat e", + "Ġcrea te", + "a ther", + "at her", + "ath er", + "athe r", + "A rray", + "Ar ray", + "Arr ay", + ". in", + ".i n", + "f e", + "S ervice", + "Ser vice", + "Serv ice", + "U N", + "a ts", + "at s", + "Ġ Z", + "al th", + "alt h", + "Ġ made", + "Ġm ade", + "Ġma de", + "Ġmad e", + "tr ue", + "tru e", + "A B", + "Ġ mark", + "Ġm ark", + "Ġmar k", + "Ġma rk", + "r id", + "ri d", + "if ied", + "ifi ed", + "ifie d", + ", čĊ", + "y n", + "p ress", + "pr ess", + "pre ss", + "pres s", + "Ġ group", + "Ġg roup", + "Ġgr oup", + "Ġgro up", + "Ġgrou p", + "Ġ fin", + "Ġf in", + "Ġfi n", + "Ġ License", + "ĠL icense", + "ĠLic ense", + "F ield", + "Fi eld", + "e ger", + "eg er", + "Ġ world", + "Ġw orld", + "Ġwor ld", + "i ness", + "in ess", + "ine ss", + "ines s", + "t y", + "Ġ process", + "Ġp rocess", + "Ġpro cess", + "Ġproc ess", + "Ġproces s", + "( b", + "Ġ cre", + "Ġc re", + "Ġcr e", + "a rn", + "ar n", + "i ves", + "iv es", + "ive s", + "Ġ main", + "Ġm ain", + "Ġma in", + "Ġmai n", + "i deo", + "id eo", + "ide o", + "3 6", + "_ g", + "A G", + "val id", + "va lid", + "i mg", + "im g", + "P I", + "Ġ color", + "Ġc olor", + "Ġco lor", + "Ġcol or", + "Ġ report", + "Ġre port", + "Ġrep ort", + "Ġrepo rt", + "Ġ take", + "Ġt ake", + "Ġta ke", + "Ġtak e", + "r ib", + "ri b", + "O M", + "Ġ day", + "Ġd ay", + "Ġda y", + "Re quest", + "Req uest", + "Ġ sk", + "Ġs k", + "b ers", + "ber s", + "be rs", + "ĉ s", + ". Add", + ".A dd", + ".Ad d", + "o ot", + "oo t", + "I mage", + "Im age", + "Ġcom ple", + "Ġcomp le", + "Ġcompl e", + "ol lection", + "oll ection", + "ollect ion", + "olle ction", + "Ġ top", + "Ġt op", + "Ġto p", + "Ġ free", + "Ġf ree", + "Ġfr ee", + "Ġfre e", + "A S", + "D e", + "Ġ On", + "ĠO n", + "I G", + "9 0", + "e ta", + "et a", + "D ate", + "Da te", + "Dat e", + "Ġ action", + "Ġa ction", + "Ġact ion", + "Ġac tion", + "3 4", + "O ver", + "i tor", + "it or", + "ito r", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "n ot", + "no t", + "Ġ index", + "Ġin dex", + "Ġind ex", + "Ġinde x", + "h er", + "he r", + "i con", + "ic on", + "ico n", + "O n", + "; čĊčĊ", + ";čĊ čĊ", + "iv ity", + "ivi ty", + "m and", + "man d", + "ma nd", + ". Windows", + ".W indows", + ".Window s", + "O L", + "Ġ real", + "Ġre al", + "Ġ max", + "Ġm ax", + "Ġma x", + "l and", + "la nd", + "lan d", + ". ...", + ".. ..", + "... .", + "r aph", + "ra ph", + "rap h", + "Ġ build", + "Ġb uild", + "Ġbu ild", + "l eg", + "le g", + "as sword", + "ass word", + "? ĊĊ", + "?Ċ Ċ", + "âĢ ¦", + "o ok", + "oo k", + "u ck", + "uc k", + "Ġ message", + "Ġm essage", + "Ġmess age", + "Ġmes sage", + "t est", + "te st", + "tes t", + "i vers", + "iv ers", + "ive rs", + "iver s", + "3 8", + "Ġ input", + "Ġin put", + "Ġinp ut", + "Ġ art", + "Ġa rt", + "Ġar t", + "Ġ between", + "Ġb etween", + "Ġbet ween", + "G et", + "Ge t", + "en ter", + "ent er", + "ente r", + "g round", + "gr ound", + "gro und", + "e ne", + "en e", + "à ¡", + ". length", + ".l ength", + ".len gth", + ".le ngth", + "N ode", + "No de", + "( i", + "C lass", + "Cl ass", + "Cla ss", + "f or", + "fo r", + "Ġ âĢĶ", + "ĠâĢ Ķ", + "t en", + "te n", + "o in", + "oi n", + "Ġ ke", + "Ġk e", + "u i", + "Ġ IN", + "ĠI N", + "Ġ table", + "Ġt able", + "Ġtab le", + "Ġta ble", + "s ub", + "su b", + "Ġ Le", + "ĠL e", + "Ġ head", + "Ġh ead", + "Ġhe ad", + "Ġ must", + "Ġm ust", + "Ġmus t", + "Ġmu st", + "//// ////////////", + "//////// ////////", + "//////////// ////", + ". util", + ".u til", + ".ut il", + "Cont ext", + "Con text", + "Ġ order", + "Ġor der", + "Ġord er", + "Ġ mov", + "Ġm ov", + "Ġmo v", + "o ver", + "ov er", + "ove r", + "Ġ contin", + "Ġcon tin", + "Ġcont in", + "Ġ say", + "Ġs ay", + "Ġsa y", + "st atic", + "stat ic", + "sta tic", + ". Text", + ".T ext", + ".Te xt", + "Ġ className", + "Ġclass Name", + "p any", + "pan y", + "pa ny", + "Ġ ter", + "Ġt er", + "Ġte r", + "h ead", + "he ad", + "hea d", + "r g", + "Ġ product", + "Ġpro duct", + "Ġprodu ct", + "Ġprod uct", + "T his", + "Th is", + ". âĢĿ", + "Ġ But", + "ĠB ut", + "ĠBu t", + "7 0", + "l oy", + "lo y", + "Ġ double", + "Ġd ouble", + "Ġdo uble", + "Ġdoub le", + "Ġdou ble", + "s g", + "Ġ place", + "Ġp lace", + "Ġpl ace", + "Ġplac e", + "Ġpla ce", + ". x", + "m essage", + "mes sage", + "mess age", + "Ġ information", + "Ġin formation", + "Ġinform ation", + "Ġinformat ion", + "pr ivate", + "priv ate", + "Ġ oper", + "Ġo per", + "Ġop er", + "c ed", + "ce d", + "d b", + "\" > < /", + "P aram", + "Par am", + "Pa ram", + "Para m", + "i cle", + "ic le", + "icl e", + "Ġ week", + "Ġwe ek", + "Ġwee k", + "Ġ prop", + "Ġp rop", + "Ġpro p", + "Ġpr op", + "t able", + "ta ble", + "tab le", + "tabl e", + "id get", + "idge t", + "p lace", + "pl ace", + "pla ce", + "P rop", + "Pro p", + "Pr op", + "Ġ All", + "ĠA ll", + "ĠAl l", + "e ls", + "el s", + "b ox", + "bo x", + ". ĊĊĊĊ", + ".ĊĊ ĊĊ", + ".Ċ ĊĊĊ", + ".ĊĊĊ Ċ", + ". R", + "Ġ To", + "ĠT o", + "i ter", + "it er", + "ite r", + "S h", + "u ration", + "ur ation", + "ura tion", + "urat ion", + "o lder", + "ol der", + "old er", + "_ list", + "_l ist", + "_li st", + "c ome", + "com e", + "co me", + "Ġ sw", + "Ġs w", + "iz ation", + "iza tion", + "ĉ for", + "ĉf or", + "b l", + "Ġ program", + "Ġp rogram", + "Ġpro gram", + "Ġpr ogram", + "Ġprog ram", + "( e", + "a pe", + "ap e", + "c heck", + "ch eck", + "che ck", + ". Forms", + ".Form s", + ".For ms", + "Ġ und", + "Ġu nd", + "Ġun d", + "ateg ory", + "ategor y", + "atego ry", + "7 5", + "a gs", + "ag s", + "Ġ response", + "Ġres ponse", + "Ġrespons e", + "Ġresp onse", + "U S", + "re quest", + "req uest", + "requ est", + "Ġ struct", + "Ġstr uct", + "Ġstru ct", + "e scription", + "es cription", + "Ġ code", + "Ġc ode", + "Ġco de", + "Ġcod e", + "_ H", + "u ffer", + "uff er", + "uf fer", + "Ġ without", + "Ġwith out", + "lo bal", + "lob al", + "M anager", + "Man ager", + "Manage r", + "Mana ger", + "il ter", + "ilt er", + "P O", + "ĉ this", + "ĉt his", + "ĉth is", + "o ption", + "op tion", + "opt ion", + "Ġ sol", + "Ġs ol", + "Ġso l", + "Ġ ===", + "Ġ= ==", + "Ġ== =", + "a kes", + "ak es", + "ake s", + "Cont roller", + "Control ler", + "Contr oller", + "4 4", + "M essage", + "Mes sage", + "Mess age", + "Ġ ref", + "Ġre f", + "Ġr ef", + "e ver", + "ev er", + "eve r", + "Ġ So", + "ĠS o", + "a ining", + "ain ing", + "ai ning", + ". append", + ".app end", + ".ap pend", + "Ġ still", + "Ġst ill", + "Ġstil l", + "Ġpro vid", + "Ġpr ovid", + "Ġprov id", + "Ġ assert", + "Ġas sert", + "Ġass ert", + "m ed", + "me d", + "Ġ cap", + "Ġc ap", + "Ġca p", + "us iness", + "usi ness", + "Ġ rep", + "Ġre p", + "Ġr ep", + "t ings", + "ting s", + "tin gs", + "v ed", + "ve d", + ". N", + "a pi", + "ap i", + "O D", + "Ġ field", + "Ġf ield", + "Ġfi eld", + "Ġfie ld", + "i ven", + "iv en", + "ive n", + "o to", + "ot o", + "âĢ ľ", + "c ol", + "co l", + "( x", + "g ht", + "gh t", + "Res ult", + "C ode", + "Co de", + "Cod e", + ". is", + ".i s", + "l ink", + "li nk", + "lin k", + "Ġ cour", + "Ġc our", + "Ġco ur", + "Ġcou r", + "A n", + "Ġ team", + "Ġt eam", + "Ġte am", + "Ġtea m", + "ĉ int", + "ĉi nt", + "ĉin t", + "i ft", + "if t", + "5 5", + "Ġ second", + "Ġse cond", + "Ġsec ond", + "Ġ going", + "Ġgo ing", + "Ġ range", + "Ġr ange", + "Ġran ge", + "Ġra nge", + "Ġrang e", + "_ E", + "n ess", + "ne ss", + "nes s", + "3 9", + "Ġf am", + "Ġfa m", + "Ġ nil", + "Ġn il", + "Ġni l", + "Ġ Cont", + "ĠC ont", + "ĠCon t", + "ĠCo nt", + "ail able", + "u tes", + "ut es", + "ute s", + "a tab", + "at ab", + "ata b", + "Ġ fact", + "Ġf act", + "Ġfa ct", + "Ġfac t", + "Ġ vis", + "Ġv is", + "Ġvi s", + "( &", + "Ġ AN", + "ĠA N", + "3 1", + "A l", + "t itle", + "ti tle", + "tit le", + "Ġ android", + "Ġand roid", + "C E", + "\\ \"", + "i rt", + "ir t", + "Ġw rit", + "Ġwr it", + "Ð ½", + "ĉ m", + "ft ware", + "o nd", + "on d", + "Ġ ret", + "Ġre t", + "Ġr et", + "os ition", + "osi tion", + "osit ion", + "Ġ home", + "Ġh ome", + "Ġhom e", + "Ġho me", + "Ġ left", + "Ġl eft", + "Ġle ft", + "ar gs", + "arg s", + "m eric", + "mer ic", + "me ric", + "4 8", + "Ġ direct", + "Ġd irect", + "Ġdi rect", + "Ġdir ect", + "Ġdire ct", + "o ci", + "oc i", + "P l", + "A s", + "r et", + "re t", + "a do", + "ad o", + "O f", + "c hn", + "ch n", + "Ġ Get", + "ĠG et", + "ĠGe t", + "e e", + "r oss", + "ro ss", + "ros s", + "( );", + "() ;", + "_ ___", + "__ __", + "___ _", + ". ph", + ".p h", + "I t", + "o ute", + "ou te", + "out e", + "Ġex per", + "Ġexp er", + "ch ool", + "cho ol", + "w ww", + "ww w", + "} ,", + "Ġ allow", + "Ġal low", + "Ġall ow", + "Ġallo w", + "Ġ Â", + "( ))", + "() )", + "s ize", + "si ze", + "siz e", + "i sm", + "is m", + "a i", + "t ract", + "tr act", + "tra ct", + "a ne", + "an e", + ". ..ĊĊ", + ".. .ĊĊ", + "... ĊĊ", + "...Ċ Ċ", + "con text", + "cont ext", + "conte xt", + "Ġ beg", + "Ġb eg", + "Ġbe g", + "C H", + "Ġ page", + "Ġp age", + "Ġpa ge", + "Ġpag e", + "h ip", + "hi p", + "n o", + "c ore", + "co re", + "cor e", + "s p", + "Ġ different", + "Ġd ifferent", + "Ġdiffer ent", + "i able", + "ia ble", + "Ġ Me", + "ĠM e", + "_ IN", + "_I N", + "b utton", + "but ton", + "butt on", + "Ġ Is", + "ĠI s", + "erv ices", + "ervice s", + "Ġ ca", + "Ġc a", + "Ġ around", + "Ġa round", + "Ġar ound", + "Ġarou nd", + "A pp", + "Ap p", + "r ation", + "ra tion", + "rat ion", + "ratio n", + "Ġ rece", + "Ġre ce", + "Ġr ece", + "Ġrec e", + "Ġ really", + "Ġre ally", + "Ġreal ly", + "Ġ image", + "Ġi mage", + "Ġim age", + "Ġimag e", + "Ġima ge", + "Ġ target", + "Ġt arget", + "Ġtar get", + "Ġtarg et", + "Ġ dep", + "Ġd ep", + "Ġde p", + "opy right", + "t ra", + "tr a", + "i ngle", + "in gle", + "ing le", + "i tal", + "it al", + "ita l", + "L ayout", + "Ġ both", + "Ġb oth", + "Ġbo th", + "Ġbot h", + "Over ride", + "a rm", + "ar m", + "= >", + "at erial", + "ate rial", + "ater ial", + "ateria l", + "i led", + "il ed", + "ile d", + "Ġ put", + "Ġp ut", + "Ġpu t", + "Q u", + "Ñ Ģ", + "u ng", + "un g", + "m ap", + "ma p", + "ĉ ĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉ ĉ", + "Ġ level", + "Ġle vel", + "Ġlev el", + "Ġleve l", + "Com ponent", + "Comp onent", + "b ook", + "bo ok", + "boo k", + "c reen", + "cre en", + "cr een", + "_ RE", + "_R E", + "Ġ config", + "Ġcon fig", + "Ġconf ig", + "ã ģ", + "O r", + ". data", + ".d ata", + ".dat a", + ".da ta", + "Ġ document", + "Ġd ocument", + "Ġdoc ument", + "\" ,\"", + "\", \"", + "trib ute", + "u x", + "L og", + "Lo g", + "f erence", + "fer ence", + "fe rence", + "p ost", + "pos t", + "po st", + "_ e", + "Ġ local", + "Ġl ocal", + "Ġlo cal", + "Ġloc al", + "an dom", + "and om", + "ando m", + "as sert", + "ass ert", + "asse rt", + "asser t", + "V al", + "Va l", + "l ected", + "lect ed", + "lec ted", + "i na", + "in a", + "at abase", + "ata base", + "atab ase", + "A dd", + "Ad d", + "Ġ content", + "Ġc ontent", + "Ġcon tent", + "Ġcont ent", + "Ġconten t", + "Ġconte nt", + ". print", + ".p rint", + ".pr int", + "s igned", + "sign ed", + "sig ned", + "r ic", + "ri c", + ". \"ĊĊ", + ".\" ĊĊ", + ".\"Ċ Ċ", + "Ġ fa", + "Ġf a", + "! ĊĊ", + "!Ċ Ċ", + "- f", + "i ved", + "iv ed", + "ive d", + "Ġ quest", + "Ġqu est", + "Ġque st", + "Ġq uest", + "Ġques t", + ". ex", + ".e x", + "Ġ float", + "Ġf loat", + "Ġflo at", + "Ġ develop", + "Ġde velop", + "Ġdev elop", + "Ġdeve lop", + "Ġdevel op", + "о Ð", + "M ap", + "Ma p", + "a ding", + "ad ing", + "adi ng", + "adin g", + "Ġ poss", + "Ġp oss", + "Ġpos s", + "Ġpo ss", + "U E", + "n amespace", + "name space", + "names pace", + "_ O", + "ĉ b", + ". Get", + ".G et", + ".Ge t", + "> (", + "j son", + "js on", + "e tails", + "et ails", + "etail s", + "eta ils", + "6 6", + "Ġ too", + "Ġt oo", + "Ġto o", + "Ġ extends", + "Ġext ends", + "Ġextend s", + "Ġ None", + "ĠN one", + "ĠNo ne", + "ĠNon e", + "Ġ fore", + "Ġf ore", + "Ġfor e", + "Ġfo re", + "( String", + "(S tring", + "(Str ing", + "form at", + "for mat", + "forma t", + "Ġ great", + "Ġg reat", + "Ġgr eat", + "Ġgre at", + "in ter", + "int er", + "inte r", + "c ale", + "ca le", + "cal e", + "Ñ ģ", + "r on", + "ro n", + "i ving", + "iv ing", + "ivi ng", + "E nt", + "En t", + "e ncy", + "en cy", + "enc y", + "x t", + "o y", + "0 5", + "Ġ month", + "Ġm onth", + "Ġmon th", + "Ġmo nth", + "Ġmont h", + "Ġh app", + "Ġha pp", + "Ġhap p", + "Ġ super", + "Ġs uper", + "Ġsu per", + "Ġsup er", + "b ar", + "ba r", + "d efault", + "de fault", + "def ault", + "_ de", + "_d e", + "or ds", + "ord s", + "l n", + "( {Ċ", + "({ Ċ", + "Ġ Ind", + "ĠI nd", + "ĠIn d", + "a ses", + "as es", + "ase s", + "Ġ title", + "Ġt itle", + "Ġtit le", + "Ġti tle", + "Ġ context", + "Ġcon text", + "Ġcont ext", + "Ġconte xt", + "0 8", + "o h", + "- p", + "E m", + "Ġ met", + "Ġm et", + "Ġme t", + "T est", + "Te st", + "Tes t", + "Ġ life", + "Ġl ife", + "Ġli fe", + "Ġlif e", + "_ v", + "Ġ US", + "ĠU S", + "U I", + "o cation", + "oc ation", + "oca tion", + "m d", + "Ġ [Ċ", + "Ġ[ Ċ", + "Ġ ]", + "s w", + "Ġ incre", + "Ġin cre", + "Ġinc re", + "Ġincr e", + "s cript", + "scri pt", + "scr ipt", + "ent ial", + "enti al", + "w ays", + "way s", + "wa ys", + ". de", + ".d e", + "Ġ src", + "Ġs rc", + "Ġsr c", + "Ġ catch", + "Ġc atch", + "Ġcat ch", + "Ġ Americ", + "ĠA meric", + "ĠAm eric", + "ĠAmer ic", + "/ /Ċ", + "// Ċ", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "Ġ pay", + "Ġp ay", + "Ġpa y", + "p lit", + "pl it", + "âĢ Ķ", + "Ġc oun", + "Ġco un", + "Ġcou n", + "o bj", + "ob j", + ". php", + ".p hp", + ".ph p", + "Ġ change", + "Ġch ange", + "Ġchang e", + "Ġcha nge", + "Ġchan ge", + "e thing", + "eth ing", + "' re", + "'r e", + "a ster", + "as ter", + "ast er", + "aste r", + "l os", + "lo s", + "l ation", + "la tion", + "lat ion", + "Ġ ĠĊ", + "ĠĠ Ċ", + "L e", + "à ¤", + "( {", + "re ady", + "read y", + "rea dy", + "Ġ No", + "ĠN o", + "Ġ position", + "Ġp osition", + "Ġpos ition", + "Ġposit ion", + "Ġposi tion", + "Ġ old", + "Ġo ld", + "Ġol d", + "Ġ book", + "Ġb ook", + "Ġbo ok", + "Ġboo k", + "a bled", + "ab led", + "able d", + "abl ed", + "b ug", + "bu g", + "2 02", + "20 2", + "H and", + "Ha nd", + "Han d", + "} ;ĊĊ", + "};Ċ Ċ", + "}; ĊĊ", + "is play", + "isp lay", + "a ving", + "av ing", + "avi ng", + "avin g", + "0 4", + "Ġg over", + "Ġgo ver", + "Ġgov er", + "Ġ version", + "Ġv ersion", + "Ġvers ion", + "S ystem", + "Sys tem", + "Sy stem", + "n ect", + "ne ct", + "res ponse", + "resp onse", + "respons e", + "St yle", + "U p", + "an gu", + "ang u", + "Ġ three", + "Ġth ree", + "Ġthr ee", + "i nit", + "in it", + "ini t", + "e ro", + "er o", + "Ġ law", + "Ġl aw", + "Ġla w", + "en dif", + "end if", + "endi f", + "Ġ base", + "Ġb ase", + "Ġbas e", + "Ġba se", + "e mail", + "em ail", + "ema il", + "( l", + "_ V", + "Ġ conf", + "Ġcon f", + "Ġco nf", + "A TE", + "AT E", + "Ġ during", + "Ġd uring", + "Ġdu ring", + "Ġdur ing", + "t es", + "te s", + "Ġ console", + "Ġcon sole", + "Ġcons ole", + "Ġ Pr", + "ĠP r", + "Ġ spe", + "Ġs pe", + "Ġsp e", + "v es", + "ve s", + "6 5", + "p ath", + "pat h", + "pa th", + "i alog", + "ial og", + "ia log", + "d ition", + "di tion", + "dit ion", + "_ to", + "_t o", + "ar ds", + "ard s", + "Ġ against", + "Ġagain st", + "et work", + "Ġ Ph", + "ĠP h", + "_ L", + "c ur", + "cu r", + "i mit", + "im it", + "imi t", + "W ith", + "Wi th", + "Ġ power", + "Ġp ower", + "Ġpo wer", + "Ġpow er", + "i um", + "iu m", + "' ;ĊĊ", + "';Ċ Ċ", + "'; ĊĊ", + "Ġw om", + "Ġwo m", + "l eft", + "le ft", + "lef t", + "our ces", + "ource s", + "a tri", + "at ri", + "atr i", + "Ġ Im", + "ĠI m", + "Ġ Man", + "ĠM an", + "ĠMa n", + "or th", + "ort h", + "$ {", + "8 8", + "qu als", + "qual s", + "qua ls", + "e se", + "es e", + "_ size", + "_s ize", + "_si ze", + "Ġ iss", + "Ġis s", + "Ġi ss", + "o tal", + "ot al", + "ota l", + "- g", + "i que", + "iqu e", + "iq ue", + "r ame", + "ra me", + "ram e", + "Ġ width", + "Ġw idth", + "Ġwid th", + "e rg", + "er g", + ") (", + "it tle", + "itt le", + "T R", + "Ġ They", + "ĠT hey", + "ĠThe y", + "ĠTh ey", + "e nces", + "en ces", + "ence s", + "enc es", + "0 2", + "r l", + "o ns", + "on s", + "Ġ label", + "Ġl abel", + "Ġla bel", + "Ġlab el", + ". y", + "- t", + "up date", + "upd ate", + "a nel", + "an el", + "ane l", + "s c", + ". to", + ".t o", + "Ġ project", + "Ġpro ject", + "Ġproj ect", + "Ġproje ct", + "à ¼", + "Ġ element", + "Ġe lement", + "Ġel ement", + "Ġele ment", + "Ġelem ent", + "Ġ success", + "Ġs uccess", + "Ġsu ccess", + "Ġsuc cess", + "Ġsucc ess", + "Ġsucces s", + "ĉ ĉĊ", + "ĉĉ Ċ", + ". sh", + ".s h", + "r am", + "ra m", + "c hed", + "ch ed", + "che d", + "( ))Ċ", + "() )Ċ", + "()) Ċ", + "Ġ (Ċ", + "Ġ( Ċ", + "Ġ date", + "Ġd ate", + "Ġda te", + "Ġdat e", + "Ġ tot", + "Ġt ot", + "Ġto t", + "_ ST", + "_S T", + "A ll", + "Al l", + "if ication", + "ific ation", + "ifi cation", + "ifica tion", + "ĉ var", + "ĉv ar", + "ĉva r", + "Ġ tri", + "Ġt ri", + "Ġtr i", + "c hem", + "ch em", + "che m", + "m y", + "Ġ big", + "Ġb ig", + "Ġbi g", + "Ġ Ad", + "ĠA d", + "Ġ At", + "ĠA t", + "o ts", + "ot s", + "n um", + "nu m", + "A ct", + "Ac t", + "Ġ map", + "Ġm ap", + "Ġma p", + "e ra", + "er a", + "c ope", + "co pe", + "cop e", + ". $", + ", âĢĿ", + "Ġ pop", + "Ġp op", + "Ġpo p", + "Ġ few", + "Ġf ew", + "Ġfe w", + "Ġ len", + "Ġl en", + "Ġle n", + "u id", + "ui d", + "e ters", + "et ers", + "eter s", + "ete rs", + "u les", + "ul es", + "ule s", + "à Ń", + "s ource", + "ht tps", + "http s", + "htt ps", + "Ġ dem", + "Ġd em", + "Ġde m", + "Ġ ear", + "Ġe ar", + "Ġea r", + "#### ############", + "######## ########", + "############ ####", + "Ġ match", + "Ġm atch", + "Ġmat ch", + "o ries", + "or ies", + "ori es", + "orie s", + "4 9", + "a ces", + "ace s", + "ac es", + "Ġ Cl", + "ĠC l", + "Ġ node", + "Ġn ode", + "Ġno de", + "Ġnod e", + "7 8", + "i rc", + "ir c", + "l ocal", + "lo cal", + "loc al", + "un ity", + "unit y", + "uni ty", + "} ;Ċ", + "}; Ċ", + "Ġ another", + "Ġan other", + "Ġano ther", + "< <", + "o gle", + "og le", + "ogl e", + "Ġ sit", + "Ġs it", + "Ġsi t", + "e work", + "ew ork", + "T E", + ". I", + "N S", + "o logy", + "ol ogy", + "olog y", + "olo gy", + "o ught", + "ou ght", + "ough t", + "oug ht", + ". Cont", + ".C ont", + ".Con t", + ".Co nt", + "> >", + "Ġ care", + "Ġc are", + "Ġcar e", + "Ġca re", + "st ate", + "stat e", + "sta te", + "ĉ private", + "ĉpr ivate", + "ĉpriv ate", + "Ġ effect", + "Ġe ffect", + "Ġeff ect", + "Ġef fect", + "+ +)", + "++ )", + "_ file", + "_f ile", + "_fil e", + "en ding", + "end ing", + "endi ng", + "L ine", + "Li ne", + "Lin e", + "F or", + "Fo r", + "i or", + "io r", + "Ġ Sc", + "ĠS c", + "Ġ fun", + "Ġf un", + "Ġfu n", + ". Size", + ".S ize", + "ĉ else", + "ĉe lse", + "ĉel se", + "] )", + "st art", + "star t", + "sta rt", + "v ious", + "vi ous", + "vio us", + "Ġ },", + "Ġ} ,", + "o urs", + "ou rs", + "our s", + "Ġ leg", + "Ġl eg", + "Ġle g", + "Ġ service", + "Ġs ervice", + "Ġser vice", + "Ġserv ice", + "Ġservi ce", + "Ġservic e", + "Ġ since", + "Ġs ince", + "Ġsi nce", + "Ġsin ce", + "Ġsinc e", + "i ron", + "ir on", + "iro n", + "L abel", + "La bel", + "Lab el", + "Ġ non", + "Ġn on", + "Ġno n", + "Ġ los", + "Ġl os", + "Ġlo s", + "i ction", + "ic tion", + "ict ion", + "Ġ full", + "Ġf ull", + "Ġful l", + "Ġfu ll", + "a cter", + "act er", + "ac ter", + "b oard", + "bo ard", + "boa rd", + "g ress", + "gr ess", + "gre ss", + "gres s", + "Ġ turn", + "Ġt urn", + "Ġtu rn", + "Ġtur n", + "i ther", + "it her", + "ith er", + "ithe r", + "0 9", + ". size", + ".s ize", + ".si ze", + "Ġ body", + "Ġb ody", + "Ġbo dy", + "Ġbod y", + "r esh", + "re sh", + "res h", + "e turn", + "et urn", + "etur n", + "etu rn", + "1 99", + "19 9", + "( _", + "y les", + "yle s", + "yl es", + "or mal", + "orm al", + "p i", + "Ġ something", + "Ġs omething", + "Ġsome thing", + "Ġsom ething", + "! --", + "u int", + "ui nt", + "uin t", + "Ġ produ", + "Ġp rodu", + "Ġpro du", + "Ġpr odu", + "Ġprod u", + "Ġ stand", + "Ġst and", + "Ġsta nd", + "Ġstan d", + "Ġpro ble", + "Ġpr oble", + "Ġprob le", + "Ġprobl e", + "Ġ available", + "Ġa vailable", + "Ġav ailable", + "Ġavail able", + "m t", + "Ġ Bl", + "ĠB l", + "Ġ ...", + "Ġ. ..", + "Ġ.. .", + "Ġ block", + "Ġb lock", + "Ġbl ock", + "Ġblo ck", + "Ġbloc k", + "In put", + "Ġ keep", + "Ġke ep", + "C ount", + "Co unt", + "Cou nt", + "o pen", + "op en", + "ope n", + "Ġ ['", + "Ġ[ '", + "Ġ throw", + "Ġth row", + "Ġthr ow", + "Ġthro w", + "u ilder", + "uild er", + "ui lder", + "uil der", + "A ction", + "Act ion", + "Ac tion", + "Ġ things", + "Ġth ings", + "Ġthing s", + "Ġthin gs", + "Tr ue", + "Ġ url", + "Ġu rl", + "Ġur l", + "Ġ Bo", + "ĠB o", + "print f", + "Ġ red", + "Ġre d", + "Ġr ed", + "j s", + ". create", + ".c reate", + "Ġ Or", + "ĠO r", + "S tatus", + "St atus", + "Stat us", + "In stance", + "Inst ance", + "Ġ control", + "Ġc ontrol", + "Ġcont rol", + "Ġcontr ol", + "Ġcontro l", + "Ġ come", + "Ġc ome", + "Ġcom e", + "Ġco me", + "Ġ custom", + "Ġc ustom", + "Ġcust om", + "Ġcus tom", + "l ocation", + "lo cation", + "loc ation", + "0 7", + "m odel", + "mod el", + "mo del", + "mode l", + "Ġ čĊ", + "Ġč Ċ", + "Ġ source", + "Ġs ource", + "Ġsour ce", + "Ġe as", + "Ġea s", + ". out", + ".o ut", + "] ĊĊ", + "]Ċ Ċ", + "o ney", + "on ey", + "one y", + "Ġ await", + "Ġa wait", + "Ġaw ait", + "Ġp artic", + "Ġpart ic", + "Ġpar tic", + "Ġparti c", + "A P", + "ub lish", + "ubl ish", + "o des", + "od es", + "ode s", + "_ pro", + "_p ro", + "_pr o", + "p ly", + "pl y", + "r iter", + "ri ter", + "rit er", + "rite r", + "Ġ prov", + "Ġp rov", + "Ġpro v", + "Ġpr ov", + "Ġ mill", + "Ġm ill", + "Ġmil l", + "Ġmi ll", + "H T", + "] )Ċ", + "]) Ċ", + "Ġ chang", + "Ġc hang", + "Ġch ang", + "Ġcha ng", + "Ġchan g", + "Ġ ask", + "Ġa sk", + "Ġas k", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "Ġ output", + "Ġout put", + "Ġ email", + "Ġe mail", + "Ġem ail", + "6 8", + ". push", + ".p ush", + "Ġ }čĊčĊ", + "Ġ} čĊčĊ", + "Ġ}čĊ čĊ", + "i nation", + "in ation", + "ina tion", + "inati on", + "4 7", + "at rix", + "atri x", + "atr ix", + "T able", + "Tab le", + "Ta ble", + "u ccess", + "uc cess", + "ucc ess", + "] );Ċ", + "]) ;Ċ", + "]); Ċ", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ disc", + "Ġd isc", + "Ġdis c", + "Ġdi sc", + "( [", + "Ġ business", + "Ġb usiness", + "Ġbus iness", + "h eight", + "he ight", + "hei ght", + ". html", + ".h tml", + ".ht ml", + ".htm l", + "t a", + "f ield", + "fi eld", + "Ġ required", + "Ġre quired", + "Ġrequire d", + "Ġrequ ired", + "_ R", + "Ġg overn", + "Ġgo vern", + "Ġgover n", + "Ġgov ern", + "} čĊčĊ", + "}čĊ čĊ", + "l ex", + "le x", + "5 00", + "50 0", + ". ,", + "Ġ Set", + "ĠS et", + "ĠSe t", + "u rch", + "ur ch", + "/ //", + "// /", + "t s", + "a f", + "Ġ might", + "Ġm ight", + "Ġmi ght", + "Ġmig ht", + "i story", + "ist ory", + "istor y", + "isto ry", + "S tr", + "St r", + "Ġ never", + "Ġn ever", + "Ġne ver", + "Ġnev er", + "Res ponse", + "Resp onse", + "Respons e", + "ar se", + "ars e", + "a da", + "ad a", + "Ġ How", + "ĠH ow", + "ĠHo w", + "Ġ *)", + "Ġ* )", + "Ġ ;", + "Ġ hard", + "Ġh ard", + "Ġhar d", + "Ġha rd", + "A d", + "Ġ intern", + "Ġin tern", + "Ġint ern", + "Ġinter n", + "Ġinte rn", + "u sed", + "us ed", + "use d", + "( data", + "(d ata", + "(dat a", + "(da ta", + "m od", + "mo d", + "an nel", + "ann el", + "anne l", + "Ġ np", + "Ġn p", + "u gg", + "ug g", + "Ġ />Ċ", + "Ġ/ >Ċ", + "Ġ/> Ċ", + "Ġ called", + "Ġc alled", + "Ġcall ed", + "Ġcal led", + "Ġcalle d", + "b ody", + "bo dy", + "Ġ cho", + "Ġc ho", + "Ġch o", + "( r", + "_ set", + "_s et", + "_se t", + "i rd", + "ir d", + "Ġ >=", + "Ġ> =", + "Ġ };Ċ", + "Ġ} ;Ċ", + "Ġ}; Ċ", + "Ġ options", + "Ġo ptions", + "Ġoption s", + "Ġopt ions", + "Ġ Gener", + "ĠG ener", + "ĠGe ner", + "ĠGen er", + "ĠGene r", + "Ġ height", + "Ġh eight", + "Ġhe ight", + "Ġhei ght", + "P oint", + "Po int", + "Y ou", + "Yo u", + "e ty", + "et y", + "C lick", + "Cl ick", + "Cli ck", + "Ġ small", + "Ġs mall", + "Ġsm all", + "Ġ ide", + "Ġi de", + "Ġid e", + "Ġ access", + "Ġa ccess", + "Ġacc ess", + "Ġac cess", + "Ġacces s", + "angu age", + "Ġ protected", + "Ġprot ected", + "Ġprotect ed", + "Ġ job", + "Ġj ob", + "Ġjo b", + "Ġ There", + "ĠT here", + "ĠThe re", + "ĠTh ere", + "ĠTher e", + "D ef", + "De f", + "Ġ address", + "Ġadd ress", + "Ġad dress", + "Ġaddr ess", + "Ġ uint", + "Ġu int", + "Ġui nt", + "N ot", + "No t", + "o o", + "a ps", + "ap s", + "< div", + "", + "() ->", + "()- >", + "ĉ ĠĠĠ", + "ĉĠ ĠĠ", + "ĉĠĠ Ġ", + "\" ))", + "\") )", + "C ontent", + "Cont ent", + "Con tent", + "_ W", + "p lement", + "pl ement", + "ple ment", + "Ġ won", + "Ġw on", + "Ġwo n", + "Ġ video", + "Ġv ideo", + "Ġvi deo", + "Ġvid eo", + "Ġvide o", + "a di", + "ad i", + "p oint", + "po int", + "poi nt", + "% %", + "0 3", + "Ġ gl", + "Ġg l", + "er ved", + "erv ed", + "erve d", + "v iron", + "vi ron", + "vir on", + "I F", + "u ted", + "ut ed", + "ute d", + "ã ĥ", + "' m", + "Ġ cert", + "Ġc ert", + "Ġce rt", + "Ġcer t", + "Ġ prof", + "Ġp rof", + "Ġpro f", + "Ġpr of", + "Ġ cell", + "Ġc ell", + "Ġce ll", + "Ġcel l", + "a ri", + "ar i", + "Ġ player", + "Ġp layer", + "Ġpl ayer", + "Ġplay er", + "Ġpla yer", + "a is", + "ai s", + "Ġ cost", + "Ġc ost", + "Ġco st", + "Ġcos t", + "Ġ hum", + "Ġh um", + "Ġhu m", + "( R", + "Ġo ffic", + "Ġof fic", + "Ġoff ic", + "k s", + ". text", + ".t ext", + ".te xt", + ".tex t", + "a tures", + "at ures", + "ature s", + "atur es", + "atu res", + "Ġ total", + "Ġt otal", + "Ġto tal", + "Ġtot al", + "Ġ */ĊĊ", + "Ġ* /ĊĊ", + "Ġ*/ ĊĊ", + "Ġ*/Ċ Ċ", + "o pe", + "op e", + "Ġ stat", + "Ġs tat", + "Ġst at", + "Ġsta t", + "U M", + "Ġ load", + "Ġl oad", + "Ġlo ad", + "Ġloa d", + "ight s", + "igh ts", + "Ġ clear", + "Ġc lear", + "Ġcl ear", + "Ġcle ar", + "u ro", + "ur o", + "Ġ techn", + "Ġt echn", + "Ġte chn", + "Ġtech n", + "Ġtec hn", + "up port", + "upp ort", + "I R", + "Ġ row", + "Ġr ow", + "Ġro w", + "Ġse em", + "Ġsee m", + "Ġ q", + "Ġ short", + "Ġs hort", + "Ġsh ort", + "Ġsho rt", + "Ġ Not", + "ĠN ot", + "ĠNo t", + "i pp", + "ip p", + "G roup", + "Gr oup", + "Gro up", + "s ection", + "se ction", + "sec tion", + "sect ion", + "m ax", + "ma x", + "i rl", + "ir l", + "Ġ override", + "Ġover ride", + "Ġ company", + "Ġcom pany", + "Ġcomp any", + "Ġcompan y", + "Ġ done", + "Ġd one", + "Ġdo ne", + "Ġdon e", + "\" );čĊ", + "\") ;čĊ", + "\"); čĊ", + "Ġ gre", + "Ġg re", + "Ġgr e", + ". Re", + ".R e", + "Ġ belie", + "Ġbe lie", + "Ġbel ie", + "r ist", + "ri st", + "ris t", + "Ġ health", + "Ġhe alth", + "Ġheal th", + "A NT", + "AN T", + "( )ĊĊ", + "() ĊĊ", + "()Ċ Ċ", + "Ġ Be", + "ĠB e", + ". value", + ".v alue", + ".val ue", + ".va lue", + "Ġ Gr", + "ĠG r", + "ot tom", + "ott om", + "otto m", + "Ġ args", + "Ġar gs", + "Ġarg s", + "P T", + "s tatus", + "st atus", + "stat us", + "f unc", + "fun c", + "fu nc", + "u ments", + "um ents", + "ument s", + "ume nts", + "umen ts", + "- h", + "N umber", + "Num ber", + ": čĊ", + "Ġ Log", + "ĠL og", + "ĠLo g", + "er ver", + "erv er", + "erve r", + "Ġ ),Ċ", + "Ġ) ,Ċ", + "Ġ), Ċ", + "a ment", + "am ent", + "ame nt", + "amen t", + "Ġ obj", + "Ġo bj", + "Ġob j", + "i nc", + "in c", + "Ġ children", + "Ġch ildren", + "Ġchild ren", + "i cy", + "ic y", + "I Z", + "a nds", + "an ds", + "and s", + "ab ly", + "abl y", + "Ġd istrib", + "Ġdis trib", + "Ġdist rib", + "Ġdistr ib", + "Ġ cur", + "Ġc ur", + "Ġcu r", + "e rial", + "er ial", + "eri al", + "eria l", + "Ġ days", + "Ġd ays", + "Ġday s", + "Ġda ys", + "r eated", + "re ated", + "reate d", + "reat ed", + "rea ted", + "r ect", + "re ct", + "rec t", + "- l", + "i rm", + "ir m", + "i dden", + "id den", + "idd en", + "o mb", + "om b", + "Ġ initial", + "Ġin itial", + "Ġinit ial", + "Ġiniti al", + ". js", + ".j s", + "Ġ â", + "Qu ery", + "Que ry", + "Ġ online", + "Ġon line", + "i mal", + "im al", + "ima l", + ". con", + ".c on", + ".co n", + "a u", + "U rl", + "Ur l", + "c ontrol", + "cont rol", + "contr ol", + "contro l", + "i rection", + "ir ection", + "ire ction", + "irect ion", + "Ġ instance", + "Ġin stance", + "Ġinst ance", + "O RT", + "OR T", + "Ġ Fr", + "ĠF r", + "w here", + "wh ere", + "Ġ javax", + "Ġj avax", + "Ġjav ax", + "Ġjava x", + "Ġ organ", + "Ġo rgan", + "Ġor gan", + "Ġorg an", + "a pter", + "ap ter", + "apt er", + "Ġ reason", + "Ġre ason", + "o ptions", + "option s", + "opt ions", + "5 9", + "Ġ Mar", + "ĠM ar", + "ĠMa r", + "( a", + "Ġ within", + "Ġwith in", + "Ġwi thin", + "Ġwit hin", + ". âĢĿĊĊ", + ".âĢĿ ĊĊ", + ".âĢĿĊ Ċ", + "O DE", + "OD E", + "_ DE", + "_D E", + "ad min", + "adm in", + "en ded", + "end ed", + "ende d", + "Ġ design", + "Ġd esign", + "Ġde sign", + "Ġdes ign", + "Ġdesi gn", + "Ġ Data", + "ĠD ata", + "ĠDa ta", + "ĠDat a", + "u ne", + "un e", + "Ġ File", + "ĠF ile", + "ĠFil e", + "ĠFi le", + "r oot", + "ro ot", + "Ġ cent", + "Ġc ent", + "Ġce nt", + "Ġcen t", + "Ġ arr", + "Ġa rr", + "Ġar r", + "_ add", + "_a dd", + "_ad d", + "l en", + "le n", + "p age", + "pa ge", + "pag e", + ", '", + "_ str", + "_s tr", + "_st r", + "Ġ bro", + "Ġb ro", + "Ġbr o", + "ab ility", + "abil ity", + "abilit y", + "o uth", + "ou th", + "out h", + "5 8", + "/ c", + "p ose", + "pos e", + "po se", + "ir tual", + "irt ual", + "e arch", + "ear ch", + "ea rch", + "_ url", + "_u rl", + "_ur l", + "ar gin", + "arg in", + "H ttp", + "Ġ school", + "Ġs chool", + "Ġsch ool", + "Ġscho ol", + "a va", + "av a", + "Ġ consider", + "Ġcons ider", + "Ġconsid er", + ". label", + ".l abel", + ".lab el", + "Ġ Array", + "ĠA rray", + "ĠAr ray", + "ĠArr ay", + "4 2", + "w eb", + "we b", + "o pt", + "op t", + ". println", + ".print ln", + "u lation", + "ul ation", + "ula tion", + "Ġ func", + "Ġf unc", + "Ġfun c", + "Ġfu nc", + "P L", + "Ġ \"\\", + "Ġ\" \\", + "Ġ Text", + "ĠT ext", + "ĠTe xt", + "ĠTex t", + "act ory", + "actor y", + "( function", + "(f unction", + "(func tion", + "(fun ction", + "n ull", + "nu ll", + "nul l", + "Ġ eng", + "Ġe ng", + "Ġen g", + "d own", + "do wn", + "Ġ include", + "Ġin clude", + "Ġinclud e", + "Ġinc lude", + "Ġincl ude", + "Ġinclu de", + "Ġ En", + "ĠE n", + "Ġ Dr", + "ĠD r", + "Ġ db", + "Ġd b", + "! !", + "s ide", + "si de", + "sid e", + "Ġ init", + "Ġin it", + "Ġi nit", + "Ġini t", + "qu ired", + "quire d", + "quir ed", + "qui red", + "Ġ She", + "ĠS he", + "ĠSh e", + "C olumn", + "Col umn", + "re act", + "rea ct", + "Ġ ann", + "Ġa nn", + "Ġan n", + "Ġ stop", + "Ġs top", + "Ġst op", + "Ġsto p", + "Ġ later", + "Ġl ater", + "Ġla ter", + "Ġlate r", + "Ġlat er", + "Ġ That", + "ĠT hat", + "ĠTh at", + "en tion", + "ent ion", + "enti on", + "d f", + "U G", + "I LE", + "IL E", + "Ġ client", + "Ġc lient", + "Ġcl ient", + "Ġcli ent", + "r aft", + "ra ft", + "raf t", + "f fer", + "ff er", + "ffe r", + "P OST", + "PO ST", + "POS T", + "el per", + "elp er", + "Ġ love", + "Ġl ove", + "Ġlo ve", + "Ġlov e", + "qu ote", + "quot e", + "quo te", + "o ud", + "ou d", + "Ġ json", + "Ġj son", + "Ġjs on", + "Ġ able", + "Ġa ble", + "Ġab le", + "Ġabl e", + "Ġ men", + "Ġm en", + "Ġme n", + "A X", + "Ġ Copyright", + "ĠC opyright", + "ĠCopy right", + "à ¶", + "a vig", + "av ig", + "avi g", + "r eq", + "re q", + "C lient", + "Cl ient", + "Cli ent", + "} );Ċ", + "}) ;Ċ", + "}); Ċ", + ". Com", + ".C om", + ".Co m", + "e rc", + "er c", + "i lt", + "il t", + "p ecial", + "pe cial", + "pec ial", + "pecia l", + "_ com", + "_c om", + "_co m", + "r oom", + "ro om", + ". Name", + ".N ame", + "Ġ give", + "Ġg ive", + "Ġgi ve", + "a mb", + "am b", + "i ke", + "ik e", + "Ġ condition", + "Ġcon dition", + "Ġcond ition", + "Ġcondi tion", + "c lient", + "cl ient", + "cli ent", + "a tors", + "at ors", + "ator s", + "ato rs", + ": \"", + "Ġ copy", + "Ġc opy", + "Ġco py", + "Ġcop y", + "u ture", + "ut ure", + "ivers ity", + "iversit y", + "er nal", + "ern al", + "erna l", + "{ {", + "Ġ Can", + "ĠC an", + "ĠCa n", + "o unc", + "ou nc", + "oun c", + "d o", + "Ġ occ", + "Ġo cc", + "Ġoc c", + "Ġ appro", + "Ġapp ro", + "Ġap pro", + "th ers", + "ther s", + "the rs", + "z e", + "Ġ either", + "Ġe ither", + "Ġei ther", + "Ġ Fl", + "ĠF l", + "Ġ important", + "Ġimport ant", + "Ġ lead", + "Ġl ead", + "Ġle ad", + "at tr", + "att r", + "A RT", + "AR T", + "E qual", + "Equ al", + "Eq ual", + "Ġ da", + "Ġd a", + "et ch", + "etc h", + "e ntity", + "ent ity", + "enti ty", + "Ġ family", + "Ġf amily", + "Ġfam ily", + "Ġfamil y", + "ad ding", + "add ing", + "addin g", + "Ġ option", + "Ġo ption", + "Ġop tion", + "Ġopt ion", + "Ġ exist", + "Ġex ist", + "i ca", + "ic a", + "Ġ Object", + "ĠO bject", + "ĠOb ject", + "ĠObj ect", + "6 9", + "' ve", + "v ers", + "ver s", + "ve rs", + "it ional", + "ition al", + "iti onal", + "6 7", + "out put", + "Ġ True", + "ĠTr ue", + "ĠTru e", + "Ġ OF", + "ĠO F", + "_ time", + "_t ime", + "_tim e", + "_ti me", + "Ġ offer", + "Ġo ffer", + "Ġof fer", + "Ġoff er", + "Ġ });ĊĊ", + "Ġ} );ĊĊ", + "Ġ});Ċ Ċ", + "Ġ}) ;ĊĊ", + "Ġ}); ĊĊ", + "H ER", + "HE R", + "e gin", + "eg in", + "\" \"", + "Ġ water", + "Ġw ater", + "Ġwa ter", + "Ġwat er", + "Ġ che", + "Ġc he", + "Ġch e", + "Ġ My", + "ĠM y", + "o red", + "or ed", + "ore d", + "Ġ step", + "Ġs tep", + "Ġst ep", + "Ġste p", + "a nces", + "an ces", + "ance s", + "anc es", + "C K", + "A Y", + "à ¸", + "str uction", + "struct ion", + "stru ction", + "( C", + "3 00", + "30 0", + "o uch", + "ou ch", + "St ream", + "Str eam", + "act ive", + "activ e", + "a ma", + "am a", + "E ntity", + "Ent ity", + "pro duct", + "produ ct", + "prod uct", + "( ){Ċ", + "() {Ċ", + "(){ Ċ", + "Ġ government", + "Ġg overnment", + "Ġgovern ment", + "Ġ ID", + "ĠI D", + "aj or", + "ajo r", + "A nd", + "An d", + "Ġ display", + "Ġd isplay", + "Ġdis play", + "Ġdisp lay", + "Ġdispl ay", + "Ð »", + "Ġ times", + "Ġt imes", + "Ġtime s", + "Ġtim es", + "Ġti mes", + "Ġ four", + "Ġf our", + "Ġfo ur", + "Ġfou r", + "Ġ far", + "Ġf ar", + "Ġfa r", + "Ġ present", + "Ġp resent", + "Ġpre sent", + "Ġpres ent", + "Ġ NS", + "ĠN S", + "Ġ \\Ċ", + "Ġ\\ Ċ", + "u est", + "ue st", + "ues t", + "Ġ bas", + "Ġb as", + "Ġba s", + "e cho", + "ec ho", + "ech o", + "ch ild", + "chi ld", + "if ier", + "ifi er", + "ifie r", + "H andler", + "Hand ler", + "Handle r", + "Ġ lib", + "Ġl ib", + "Ġli b", + "P roperty", + "Pro perty", + "Prop erty", + "trans lation", + "Ġ room", + "Ġr oom", + "Ġro om", + "Ġ once", + "Ġo nce", + "Ġon ce", + "Ġonc e", + "Ġ []", + "Ġ[ ]", + "c enter", + "cent er", + "cen ter", + "cente r", + "================ ================", + "Ġ results", + "Ġres ults", + "Ġresult s", + "Ġ continue", + "Ġcont inue", + "Ġcontin ue", + "Ġcontinu e", + "Ġ talk", + "Ġt alk", + "Ġtal k", + "Ġta lk", + "_ get", + "_g et", + "_ge t", + "Ġ grow", + "Ġg row", + "Ġgr ow", + "Ġgro w", + ". sw", + ".s w", + "e b", + "Ġ Public", + "ĠP ublic", + "ĠPub lic", + "O P", + "ec ute", + "ecut e", + "o ls", + "ol s", + "Ġ **", + "Ġ* *", + "\" );ĊĊ", + "\");Ċ Ċ", + "\") ;ĊĊ", + "\"); ĊĊ", + "Ġ mass", + "Ġm ass", + "Ġma ss", + "Ġmas s", + "u red", + "ur ed", + "ure d", + ". class", + ".c lass", + ".cl ass", + "o mic", + "om ic", + "omi c", + "Ġ mean", + "Ġm ean", + "Ġme an", + "i ps", + "ip s", + "Ġ aut", + "Ġa ut", + "Ġau t", + ") ;čĊčĊ", + ");čĊ čĊ", + "); čĊčĊ", + "Ġ until", + "Ġun til", + "Ġunt il", + "Ġ market", + "Ġm arket", + "Ġmark et", + "Ġmar ket", + "Ġ area", + "Ġa rea", + "Ġare a", + "Ġar ea", + "u it", + "ui t", + "Ġ length", + "Ġl ength", + "Ġle ngth", + "Ġlen gth", + "Ġleng th", + "Ġ With", + "ĠW ith", + "ĠWi th", + "ĠWit h", + "str uctor", + "struct or", + "stru ctor", + "e vent", + "ev ent", + "even t", + "eve nt", + "\" ><", + "\"> <", + "Ġ Sp", + "ĠS p", + "I V", + "Ġ mus", + "Ġm us", + "Ġmu s", + "i ff", + "if f", + "Ġ kind", + "Ġk ind", + "Ġki nd", + "Ġkin d", + "a uthor", + "aut hor", + "auth or", + "o unds", + "ou nds", + "ound s", + "oun ds", + "m b", + "_ key", + "_k ey", + "_ke y", + "4 1", + "w idth", + "wid th", + "pos itory", + "posit ory", + "positor y", + "Ġ light", + "Ġl ight", + "Ġli ght", + "Ġlig ht", + "u k", + "R ow", + "Ro w", + "o hn", + "oh n", + "a lf", + "al f", + "viron ment", + "a pper", + "ap per", + "app er", + "appe r", + "ol lections", + "oll ections", + "ollection s", + "ollect ions", + "olle ctions", + "Ġ side", + "Ġs ide", + "Ġsi de", + "Ġsid e", + "_ info", + "_in fo", + "_inf o", + "Ġ example", + "Ġex ample", + "Ġexam ple", + "i mary", + "im ary", + "ima ry", + "imar y", + "Ġ wr", + "Ġw r", + "Ġ camp", + "Ġc amp", + "Ġca mp", + "Ġcam p", + "cri be", + "cr ibe", + "2 55", + "25 5", + "\" /", + "Ġ miss", + "Ġm iss", + "Ġmis s", + "Ġmi ss", + "w ay", + "wa y", + "Ġ based", + "Ġb ased", + "Ġbase d", + "Ġbas ed", + "Ġba sed", + "Ġ plan", + "Ġp lan", + "Ġpl an", + "Ġpla n", + "V is", + "Vi s", + "o main", + "om ain", + "oma in", + "u nk", + "un k", + "Ġ away", + "Ġa way", + "Ġaw ay", + "U P", + "< T", + "O S", + "i od", + "io d", + "Ġ Mon", + "ĠM on", + "ĠMo n", + "âĢĻ re", + "Ġ lik", + "Ġl ik", + "Ġli k", + "à §", + "i vely", + "iv ely", + "ive ly", + "ivel y", + ". v", + "i mer", + "im er", + "ime r", + "i zer", + "iz er", + "ize r", + "S ub", + "Su b", + "Ġ button", + "Ġb utton", + "Ġbut ton", + "Ġbutt on", + "Ġbutto n", + "Ġ Up", + "ĠU p", + "Ġ experience", + "Ġex perience", + "Ġexper ience", + "Ġexperi ence", + "C L", + "Ġ render", + "Ġre nder", + "Ġr ender", + "Ġren der", + "Ġrend er", + "_ value", + "_v alue", + "_val ue", + "_va lue", + "Ġ near", + "Ġn ear", + "Ġne ar", + "U RL", + "UR L", + "a lt", + "al t", + "Ġ country", + "Ġc ountry", + "Ġcount ry", + "Ġcoun try", + "ib ility", + "ibil ity", + "ibilit y", + "ibili ty", + "5 7", + "( ),Ċ", + "() ,Ċ", + "(), Ċ", + "e ad", + "ea d", + "Ġ author", + "Ġa uthor", + "Ġaut hor", + "Ġauth or", + "Ġ specific", + "Ġs pecific", + "Ġspec ific", + "Ġspeci fic", + "b ase", + "ba se", + "bas e", + "( name", + "(n ame", + "o nes", + "on es", + "one s", + "Ġ Do", + "ĠD o", + "Ġ along", + "Ġa long", + "Ġal ong", + "Ġalo ng", + "y ear", + "ye ar", + "Ġ express", + "Ġex press", + "Ġexp ress", + "Ġexpr ess", + "Ġexpres s", + ". '", + "e nv", + "en v", + "Ġ begin", + "Ġb egin", + "Ġbe gin", + "Ġbeg in", + "Ġ software", + "Ġs oftware", + "Ġso ftware", + "Ġsoft ware", + "Ġ imp", + "Ġi mp", + "Ġim p", + "Ġ win", + "Ġw in", + "Ġwi n", + "ó n", + "Ġ thing", + "Ġth ing", + "Ġthin g", + "Ġthi ng", + "T rans", + "Tr ans", + "Tra ns", + "Ġ THE", + "ĠT HE", + "ĠTH E", + "Ġ ", + "Ġ? >", + "Ġ den", + "Ġd en", + "Ġde n", + "ob ile", + "obi le", + "obil e", + "ch ange", + "chan ge", + "cha nge", + "chang e", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "i ci", + "ic i", + "n a", + "Ġ Form", + "ĠF orm", + "ĠFor m", + "ĠFo rm", + "Ġ sort", + "Ġs ort", + "Ġso rt", + "Ġsor t", + "S elect", + "Se lect", + "Sel ect", + "Sele ct", + "p are", + "par e", + "pa re", + "Ġ thought", + "Ġth ought", + "Ġthough t", + "Ġthou ght", + "Ġtho ught", + "_ con", + "_c on", + "_co n", + "Ġ task", + "Ġt ask", + "Ġta sk", + "Ġtas k", + "o cus", + "oc us", + "ocu s", + "Ġ DE", + "ĠD E", + "Ġ Min", + "ĠM in", + "ĠMi n", + "Ġ opt", + "Ġo pt", + "Ġop t", + "ĉ break", + "ĉb reak", + "u mer", + "um er", + "ume r", + "K E", + "t hen", + "th en", + "the n", + "Ġ det", + "Ġd et", + "Ġde t", + "Ġ Test", + "ĠT est", + "ĠTe st", + "ĠTes t", + "p orts", + "port s", + "por ts", + "po rts", + "Ġ review", + "Ġre view", + "Ġr eview", + "Ġrev iew", + "( '/", + "(' /", + "m ove", + "mo ve", + "mov e", + "Ġ switch", + "Ġs witch", + "Ġsw itch", + "E RT", + "ER T", + "p atch", + "pat ch", + "an not", + "ann ot", + "anno t", + "ã Ĥ", + "Ġ above", + "Ġa bove", + "Ġab ove", + "it ive", + "iti ve", + "5 6", + "Ġ question", + "Ġqu estion", + "Ġquest ion", + "Ġq uestion", + "Ġquesti on", + "Ġques tion", + "Ġ Qu", + "ĠQ u", + "ãĢĤ ĊĊ", + "ãĢĤĊ Ċ", + "g le", + "gl e", + "Ġ word", + "Ġw ord", + "Ġwor d", + "Ġwo rd", + "Ġ provide", + "Ġpro vide", + "Ġprovid e", + "Ġprov ide", + "Ġ Return", + "ĠR eturn", + "ĠRe turn", + "ĠRet urn", + "Ġ research", + "Ġre search", + "Ġres earch", + "ã o", + "u str", + "us tr", + "ust r", + "Ġ publish", + "Ġp ublish", + "Ġpub lish", + "Ġpubli sh", + "ch ema", + "che ma", + "chem a", + "} }", + "Ġ CON", + "ĠC ON", + "ĠCO N", + "- in", + "-i n", + "all back", + "Ġ cover", + "Ġc over", + "Ġco ver", + "Ġcov er", + "\\ \\", + "c olor", + "co lor", + "col or", + "colo r", + "Ġ IS", + "ĠI S", + "Ġ whether", + "Ġwh ether", + "Ġwhe ther", + "i mate", + "im ate", + "ima te", + "imat e", + "i sc", + "is c", + "B ar", + "Ba r", + "Ġ div", + "Ġd iv", + "Ġdi v", + "B e", + "o urn", + "ou rn", + "our n", + "Ġ having", + "Ġh aving", + "Ġha ving", + "Ġhav ing", + "l em", + "le m", + "p layer", + "pl ayer", + "play er", + "pla yer", + "a bs", + "ab s", + "am era", + "ame ra", + "amer a", + "n ey", + "ne y", + "Ġ exc", + "Ġe xc", + "Ġex c", + "g ether", + "get her", + "ge ther", + "p lied", + "pl ied", + "a o", + "[ $", + "Ġ ++", + "Ġ+ +", + "i pe", + "ip e", + "s how", + "sh ow", + "/ d", + "[ :", + "a gement", + "ag ement", + "age ment", + "agem ent", + "l ev", + "le v", + "_ ID", + "_I D", + "9 7", + "r ary", + "ra ry", + "rar y", + "a des", + "ad es", + "ade s", + "_ se", + "_s e", + "a use", + "au se", + "aus e", + "Ġ employ", + "Ġe mploy", + "Ġem ploy", + "Ġemp loy", + "Ġ */čĊ", + "Ġ* /čĊ", + "Ġ*/ čĊ", + "Ġ fre", + "Ġf re", + "Ġfr e", + "Ġ' @", + "Ġcom plet", + "Ġcomp let", + "Ġcomple t", + "Ġcompl et", + "Ġ large", + "Ġl arge", + "Ġlarg e", + "Ġlar ge", + "r al", + "ra l", + "\\ x", + "Ġ fac", + "Ġf ac", + "Ġfa c", + "< String", + ">", + "Ġ> >", + "Ġ face", + "Ġf ace", + "Ġfa ce", + "Ġfac e", + "C TION", + "CT ION", + "Ġ save", + "Ġs ave", + "Ġsa ve", + "Ġsav e", + "Ġ typ", + "Ġt yp", + "Ġty p", + "d ev", + "de v", + "( \"#", + "(\" #", + "A GE", + "AG E", + "cont ainer", + "contain er", + "e dit", + "ed it", + "edi t", + "Q L", + "Ġ items", + "Ġit ems", + "Ġi tems", + "Ġitem s", + "Ġ social", + "Ġs ocial", + "Ġso cial", + "Ġsoc ial", + "Ġsoci al", + "i en", + "ie n", + "Ġ React", + "ĠRe act", + ") .ĊĊ", + "). ĊĊ", + ").Ċ Ċ", + "Ġ mar", + "Ġm ar", + "Ġma r", + "Ġre du", + "Ġr edu", + "Ġred u", + "Ġ RE", + "ĠR E", + ". put", + ".p ut", + "Ġ major", + "Ġm ajor", + "Ġmaj or", + "C ell", + "Ce ll", + "Cel l", + "n ext", + "ne xt", + "nex t", + "Ġ expected", + "Ġex pected", + "Ġexp ected", + "Ġexpect ed", + "Ġ yet", + "Ġy et", + "Ġye t", + "Ġin div", + "Ġind iv", + "trib utes", + "tribute s", + "at is", + "ati s", + "a med", + "am ed", + "ame d", + "Ġ food", + "Ġf ood", + "Ġfo od", + "Ġfoo d", + "S ource", + "( string", + "(s tring", + "(str ing", + "(st ring", + "Ġ +Ċ", + "Ġ+ Ċ", + "i tes", + "it es", + "ite s", + "d r", + "Ġ members", + "Ġm embers", + "Ġmem bers", + "Ġmember s", + "Ġmemb ers", + "Ġ comb", + "Ġc omb", + "Ġcom b", + "Ġco mb", + "i tems", + "it ems", + "ite ms", + "item s", + "Ġ Per", + "ĠP er", + "ĠPe r", + "T H", + "= True", + "Ġ bar", + "Ġb ar", + "Ġba r", + "_ SE", + "_S E", + "c omm", + "com m", + "co mm", + "( w", + ") ĊĊĊ", + ")Ċ ĊĊ", + ")ĊĊ Ċ", + "Ġ send", + "Ġs end", + "Ġse nd", + "Ġsen d", + "Ġ inc", + "Ġin c", + "Ġi nc", + "un signed", + "uns igned", + "F A", + "Ġ params", + "Ġpar ams", + "Ġparam s", + "Ġpara ms", + "Ġpa rams", + "a pping", + "ap ping", + "app ing", + "r os", + "ro s", + "u gin", + "ug in", + "ugi n", + "f a", + "Ġ connection", + "Ġcon nection", + "Ġconn ection", + "Ġconnect ion", + "Ġ };ĊĊ", + "Ġ} ;ĊĊ", + "Ġ};Ċ Ċ", + "Ġ}; ĊĊ", + "Ġb ecome", + "Ġbe come", + "Ġbec ome", + "M ode", + "Mod e", + "Mo de", + "Ġ ev", + "Ġe v", + "Ġ diff", + "Ġd iff", + "Ġdif f", + "Ġdi ff", + "Ġ United", + "ĠUn ited", + "ĠUnit ed", + "ĠUni ted", + "H eight", + "He ight", + "f ully", + "ful ly", + "full y", + "im ages", + "image s", + "ima ges", + "imag es", + "Ġ makes", + "Ġm akes", + "Ġmake s", + "Ġma kes", + "Ġmak es", + "Ġ global", + "Ġg lobal", + "Ġglob al", + "Ġglo bal", + "Ġ contact", + "Ġcont act", + "Ġconta ct", + "' :Ċ", + "': Ċ", + "Ġ abs", + "Ġa bs", + "Ġab s", + "а Ð", + "f loat", + "flo at", + "Ġ except", + "Ġex cept", + "Ġexc ept", + "Ġexce pt", + "Ġ Pol", + "ĠP ol", + "ĠPo l", + "Ch ild", + "Chi ld", + "t yp", + "ty p", + "Ġc ertain", + "Ġcert ain", + "Ġcer tain", + "i ón", + "ió n", + "O UT", + "OU T", + "Ġim pro", + "Ġimp ro", + "Ġimpr o", + "i les", + "il es", + "ile s", + "Ġ -->Ċ", + "Ġ- ->Ċ", + "Ġ-- >Ċ", + "Ġ--> Ċ", + "Ġ Part", + "ĠP art", + "ĠPar t", + "ĠPa rt", + "val ues", + "value s", + "valu es", + "o ss", + "os s", + "/ **", + "/* *", + "i lit", + "il it", + "ili t", + "Ġ Event", + "ĠE vent", + "ĠEven t", + "ĠEv ent", + "ĠEve nt", + "c urity", + "cur ity", + "s ter", + "st er", + "ste r", + "Ġ character", + "Ġchar acter", + "1 98", + "19 8", + "Ġ news", + "Ġn ews", + "Ġnew s", + "Ġne ws", + "Ġ \",", + "Ġ\" ,", + "Ġ device", + "Ġd evice", + "Ġde vice", + "Ġdev ice", + "c el", + "ce l", + "lo gin", + "log in", + "he et", + "hee t", + "D efault", + "De fault", + "Def ault", + "@ \"", + "ĉ Ġ", + "c lick", + "cl ick", + "cli ck", + "( value", + "(v alue", + "(val ue", + "(va lue", + "Ġ Ab", + "ĠA b", + "Ġ previous", + "Ġpre vious", + "Ġprev ious", + "ERR OR", + "o cal", + "oc al", + "oca l", + "Ġ material", + "Ġm aterial", + "Ġmat erial", + "Ġmate rial", + "Ġmateria l", + "Ġmater ial", + "Ġmateri al", + "Ġ below", + "Ġb elow", + "Ġbe low", + "Ġbel ow", + "Ġ Christ", + "ĠCh rist", + "ĠChris t", + "ĠChr ist", + "Ġ media", + "Ġm edia", + "Ġme dia", + "Ġmed ia", + "Ġmedi a", + "c over", + "co ver", + "cov er", + "Ġ UI", + "ĠU I", + "Ġ fail", + "Ġf ail", + "Ġfa il", + "Ġ black", + "Ġb lack", + "Ġbl ack", + "Ġbla ck", + "Ġ component", + "Ġcom ponent", + "Ġcomp onent", + "Ġ American", + "ĠA merican", + "ĠAmeric an", + "ĠAmerica n", + "ĠAmer ican", + "Ġ added", + "Ġadd ed", + "Ġad ded", + "Ġ buy", + "Ġb uy", + "Ġbu y", + "s tit", + "st it", + "sti t", + "Ġ came", + "Ġc ame", + "Ġca me", + "Ġcam e", + "Ġ delete", + "Ġde lete", + "Ġdel ete", + "Ġdelet e", + "Ġdele te", + "p roperty", + "pro perty", + "prop erty", + "proper ty", + "o ding", + "od ing", + "odi ng", + "Ġ card", + "Ġc ard", + "Ġcar d", + "Ġca rd", + "r ops", + "ro ps", + "rop s", + "Ġ https", + "Ġhttp s", + "Ġht tps", + "Ġhtt ps", + "Ġ root", + "Ġr oot", + "Ġro ot", + "Ġ handle", + "Ġh andle", + "Ġhand le", + "Ġhan dle", + "C C", + "B ack", + "Ba ck", + "em plate", + "emp late", + "empl ate", + "Ġ getting", + "Ġg etting", + "Ġget ting", + "_ by", + "_b y", + "m ail", + "ma il", + "mai l", + "_ sh", + "_s h", + ". assert", + ".as sert", + "Ġ Dec", + "ĠD ec", + "ĠDe c", + "( true", + "(tr ue", + "Ġ comput", + "Ġcom put", + "Ġcomp ut", + "Ġ claim", + "Ġcl aim", + "Ġcla im", + "' =>", + "'= >", + "Ġ Sub", + "ĠS ub", + "ĠSu b", + "Ġ air", + "Ġa ir", + "Ġai r", + "o ps", + "op s", + "n av", + "na v", + "e ments", + "em ents", + "ement s", + "eme nts", + "emen ts", + "( id", + "(i d", + "Ġ enter", + "Ġen ter", + "Ġent er", + "an ged", + "ang ed", + "ange d", + "E nd", + "En d", + "Ġ location", + "Ġl ocation", + "Ġlo cation", + "Ġloc ation", + "Ġ night", + "Ġn ight", + "Ġni ght", + "Ġnig ht", + "Ġ doing", + "Ġdo ing", + "Ġdoi ng", + "Ġ Red", + "ĠR ed", + "ĠRe d", + "l in", + "li n", + "} ĊĊĊ", + "}Ċ ĊĊ", + "}ĊĊ Ċ", + "v ider", + "vid er", + "vi der", + "vide r", + "Ġ pick", + "Ġp ick", + "Ġpi ck", + "Ġpic k", + "Ġ watch", + "Ġw atch", + "Ġwat ch", + "ess ages", + "essage s", + "essa ges", + "Ġ human", + "Ġh uman", + "Ġhum an", + "Ġhu man", + "Ġ dam", + "Ġd am", + "Ġda m", + "p end", + "pe nd", + "pen d", + "d ir", + "di r", + "Ġ tax", + "Ġt ax", + "Ġta x", + "Ġ girl", + "Ġg irl", + "Ġgi rl", + "Ġgir l", + "re et", + "ree t", + "Ġ box", + "Ġb ox", + "Ġbo x", + "Ġ strong", + "Ġst rong", + "Ġstr ong", + "Ġstro ng", + "Ġstron g", + "( v", + "r el", + "re l", + "Ġ interface", + "Ġinter face", + "Ġinterf ace", + "Ġ msg", + "Ġm sg", + "Ġms g", + "f ect", + "fe ct", + "fec t", + "_ at", + "_a t", + "Ġ house", + "Ġh ouse", + "Ġhous e", + "Ġho use", + "Ġ track", + "Ġt rack", + "Ġtr ack", + "Ġtra ck", + "' );ĊĊ", + "') ;ĊĊ", + "');Ċ Ċ", + "'); ĊĊ", + "j e", + "Ġ John", + "ĠJ ohn", + "ĠJo hn", + "ĠJoh n", + "i str", + "is tr", + "ist r", + "( S", + "u be", + "ub e", + "Ġ ce", + "Ġc e", + "it ted", + "itt ed", + "itte d", + "V ER", + "VE R", + "* )", + "p arent", + "par ent", + "pare nt", + "pa rent", + "paren t", + "Ġ application", + "Ġapp lication", + "Ġap plication", + "Ġapplic ation", + "Ġappl ication", + "a ny", + "an y", + ". swing", + ".s wing", + ".sw ing", + "Ġ pack", + "Ġp ack", + "Ġpa ck", + "Ġpac k", + "\\ u", + "Ġp ract", + "Ġpr act", + "Ġpra ct", + "Ġprac t", + "Ġ section", + "Ġs ection", + "Ġse ction", + "Ġsec tion", + "Ġsect ion", + "c tx", + "ct x", + "Ġ unsigned", + "Ġun signed", + "Ġuns igned", + ". Point", + ".P oint", + "Ġ One", + "ĠO ne", + "ĠOn e", + "Ä ±", + "i ple", + "ip le", + "ipl e", + "a id", + "ai d", + "Ñ ĥ", + "V ector", + "Vec tor", + "Ve ctor", + "Vect or", + "b yte", + "by te", + "byt e", + "Ġ wait", + "Ġw ait", + "Ġwa it", + "Ġ Ãł", + "Ġà ł", + "à ¥", + "Ġto gether", + "Ġtog ether", + "Ġ throws", + "Ġth rows", + "Ġthrow s", + "Ġthr ows", + "Ġthro ws", + "F O", + "' ))", + "') )", + "h ost", + "ho st", + "hos t", + "i sing", + "is ing", + "isi ng", + "isin g", + ". view", + ".v iew", + "Ġ terms", + "Ġte rms", + "Ġter ms", + "Ġterm s", + "f ramework", + "fr amework", + "frame work", + "fram ework", + "- r", + "Ġ apply", + "Ġapp ly", + "Ġap ply", + "Ġappl y", + "Ġ session", + "Ġs ession", + "Ġsess ion", + "O ptions", + "Option s", + "Opt ions", + "ug gest", + "ugg est", + "Ġ others", + "Ġo thers", + "Ġother s", + "w itter", + "wit ter", + "Ġ fund", + "Ġf und", + "Ġfun d", + "Ġfu nd", + "I nit", + "In it", + "Ini t", + "_ _(", + "__ (", + "ens or", + "enso r", + "G ET", + "GE T", + "Ġse veral", + "Ġsever al", + "Ġsev eral", + "i i", + "[ j", + "I O", + "Ġ template", + "Ġt emplate", + "Ġtem plate", + "Ġtemp late", + "Ġtempl ate", + "P osition", + "Pos ition", + "Ġe con", + "Ġec on", + "Ġeco n", + "a chine", + "ach ine", + "achi ne", + "Ġ il", + "Ġi l", + ". spring", + ".s pring", + ".sp ring", + "m ain", + "ma in", + "mai n", + "e lt", + "el t", + "i ment", + "im ent", + "ime nt", + "imen t", + "R ec", + "Re c", + "m m", + "Ġ University", + "ĠUn iversity", + "ĠUnivers ity", + "urs or", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "G L", + "ic ture", + "ict ure", + "it hub", + "ith ub", + "c er", + "ce r", + "c ast", + "ca st", + "cas t", + "F rom", + "Fr om", + "a les", + "al es", + "ale s", + "Ġ subject", + "Ġsu bject", + "Ġsub ject", + "Ġsubj ect", + "p assword", + "pass word", + "pas sword", + "n y", + "Ġ esc", + "Ġe sc", + "Ġes c", + ". write", + ".w rite", + ".writ e", + ".wr ite", + "ï¼ Į", + "W hat", + "Wh at", + ". H", + "Ġ history", + "Ġh istory", + "Ġhistor y", + "Ġhist ory", + "Ġhi story", + "Ġhisto ry", + "Ġ Fe", + "ĠF e", + "Ġ individual", + "Ġind ividual", + "Ġindiv idual", + "Ġindivid ual", + "u nit", + "un it", + "uni t", + "Ġ -->", + "Ġ- ->", + "Ġ-- >", + "Ġ du", + "Ġd u", + "I ST", + "IS T", + "Ġ users", + "Ġus ers", + "Ġuse rs", + "Ġuser s", + "f s", + "f alse", + "fa lse", + "fal se", + "u nt", + "un t", + "T itle", + "Tit le", + "Ti tle", + "Ġ mot", + "Ġm ot", + "Ġmo t", + "Ġ future", + "Ġf uture", + "Ġfut ure", + "Ġfu ture", + "a ched", + "ac hed", + "ach ed", + "ache d", + "Ġ started", + "Ġstart ed", + "Ġstar ted", + "Ġ mode", + "Ġm ode", + "Ġmod e", + "Ġmo de", + "Ġ '<", + "Ġ' <", + "_ array", + "_a rray", + "_arr ay", + "_ar ray", + "Ġ ax", + "Ġa x", + "' ];Ċ", + "'] ;Ċ", + "']; Ċ", + "i res", + "ir es", + "ire s", + "T here", + "The re", + "Th ere", + "u ght", + "ug ht", + "ugh t", + "t ml", + "tm l", + "p osed", + "pos ed", + "pose d", + "po sed", + "i cult", + "ic ult", + "Ġ took", + "Ġt ook", + "Ġto ok", + "Ġtoo k", + "Ġ games", + "Ġg ames", + "Ġgame s", + "Ġgam es", + "Ġga mes", + "Ġ }}", + "Ġ} }", + "Ġ ?>Ċ", + "Ġ? >Ċ", + "Ġ?> Ċ", + "Ġ products", + "Ġproduct s", + "Ġprodu cts", + "I s", + "Ġ bad", + "Ġb ad", + "Ġba d", + "Ġ Des", + "ĠD es", + "ĠDe s", + ". path", + ".p ath", + ".pa th", + ".pat h", + "' ĊĊ", + "'Ċ Ċ", + "Ġ Post", + "ĠP ost", + "ĠPo st", + "ĠPos t", + "a vel", + "av el", + "ave l", + "( :", + "1 50", + "15 0", + "Ġ needs", + "Ġne eds", + "Ġneed s", + "Ġ known", + "Ġk nown", + "Ġkn own", + "Ġknow n", + "F l", + "Ġ exec", + "Ġe xec", + "Ġex ec", + "Ġexe c", + "Ġ seen", + "Ġs een", + "Ġse en", + "Ġsee n", + "5 1", + "u me", + "um e", + "Ġ border", + "Ġb order", + "Ġbor der", + "Ġbord er", + "Ġ live", + "Ġl ive", + "Ġli ve", + "Ġliv e", + "t emp", + "te mp", + "tem p", + "P er", + "Pe r", + "Ġ variable", + "Ġvar iable", + "Ġvari able", + "i et", + "ie t", + "Ġ Def", + "ĠD ef", + "ĠDe f", + "Ġ ge", + "Ġg e", + "e me", + "em e", + "_ back", + "_b ack", + "f irst", + "fi rst", + "fir st", + "Ġ provided", + "Ġpro vided", + "Ġprovid ed", + "Ġprov ided", + "Ġprovide d", + "//////////////// ////////////////", + "Ġ filename", + "Ġf ilename", + "Ġfile name", + "Ġfil ename", + "Ġfi lename", + "Ġ hope", + "Ġh ope", + "Ġhop e", + "Ġho pe", + "u ly", + "ul y", + "a uto", + "aut o", + "au to", + "f ind", + "fin d", + "fi nd", + "_ string", + "_s tring", + "_st ring", + "_str ing", + "b tn", + "bt n", + "it ude", + "itud e", + "itu de", + "At tribute", + "Attrib ute", + "Ġ young", + "Ġyou ng", + "Ġyo ung", + ". txt", + ".t xt", + ".tx t", + "Ġ website", + "Ġwe bsite", + "Ġweb site", + "Ġwebs ite", + "Ġ Prop", + "ĠP rop", + "ĠPro p", + "ĠPr op", + "Ġ ey", + "Ġe y", + "> ();Ċ", + ">( );Ċ", + ">() ;Ċ", + ">(); Ċ", + "i onal", + "ion al", + "io nal", + "iona l", + "A RR", + "AR R", + "iction ary", + "ur ther", + "urt her", + ". ", + ")- >", + "t x", + "Ġ pur", + "Ġp ur", + "Ġpu r", + "u el", + "ue l", + "ym bol", + "ymb ol", + "u ation", + "ua tion", + "uat ion", + "a nger", + "an ger", + "ang er", + "ange r", + "Ġ background", + "Ġback ground", + "e cess", + "ec ess", + "ece ss", + "ef ined", + ". .......", + ".. ......", + "... .....", + ".... ....", + "..... ...", + "...... ..", + "....... .", + "Ġ description", + "Ġd escription", + "Ġde scription", + "Ġdes cription", + "Ġdescri ption", + "Ġ represent", + "Ġre present", + "Ġrep resent", + "\" ));Ċ", + "\") );Ċ", + "\")) ;Ċ", + "\")); Ċ", + "p ression", + "pr ession", + "press ion", + "row ser", + "rows er", + "rowse r", + "Ġ series", + "Ġs eries", + "Ġse ries", + "Ġser ies", + "Ġserie s", + "Ġseri es", + "w ards", + "ward s", + "war ds", + "5 2", + "( $_", + "($ _", + "a ise", + "ai se", + "ais e", + "Ġ hot", + "Ġh ot", + "Ġho t", + "a city", + "ac ity", + "aci ty", + "r ies", + "ri es", + "rie s", + "a ctions", + "act ions", + "action s", + "C reate", + "Cre ate", + "Creat e", + "a dio", + "ad io", + "adi o", + "am ples", + "amp les", + "ample s", + "Ġ original", + "Ġor iginal", + "Ġorig inal", + "Ġorigin al", + "ens ive", + "ensi ve", + "f ont", + "fo nt", + "fon t", + "st ream", + "str eam", + "stre am", + " using", + ".spring framework", + "0 01", + "00 1", + "s erver", + "ser ver", + "serve r", + "serv er", + "Ġ bill", + "Ġb ill", + "Ġbi ll", + "Ġbil l", + "A CK", + "AC K", + "i lename", + "il ename", + "ile name", + "ilen ame", + "Ġ frame", + "Ġf rame", + "Ġfr ame", + "Ġfra me", + "Ġfram e", + "Ġ =Ċ", + "Ġ= Ċ", + "E dit", + "Ed it", + "ad ius", + "adi us", + "Ġ draw", + "Ġd raw", + "Ġdr aw", + "Ġdra w", + "an ks", + "ank s", + "Ġd eter", + "Ġde ter", + "Ġdet er", + "Ġ comes", + "Ġc omes", + "Ġcom es", + "Ġco mes", + "Ġcome s", + "_ int", + "_in t", + "_i nt", + "Ġ foreach", + "Ġf oreach", + "Ġfor each", + "Ġfore ach", + "Ġfo reach", + "a ngle", + "an gle", + "ang le", + "angl e", + "Ġ elect", + "Ġe lect", + "Ġel ect", + "Ġele ct", + "p ected", + "pect ed", + "pec ted", + "He ader", + "Head er", + "i stration", + "ist ration", + "istr ation", + "istra tion", + "istrat ion", + "F alse", + "Fa lse", + "Fal se", + "Ġ Game", + "ĠG ame", + "ĠGa me", + "ĠGam e", + "Ġ filter", + "Ġf ilter", + "Ġfil ter", + "Ġfilt er", + "Act ivity", + "Activ ity", + "Ġ larg", + "Ġl arg", + "Ġla rg", + "Ġlar g", + "in ition", + "init ion", + "ini tion", + "Ġ \"<", + "Ġ\" <", + "2 56", + "25 6", + "i sed", + "is ed", + "ise d", + "Ġ remove", + "Ġre move", + "Ġrem ove", + "Ġ Trans", + "ĠT rans", + "ĠTr ans", + "ĠTra ns", + "ĠTran s", + "m et", + "me t", + "s ee", + "se e", + "Form at", + "For mat", + "Com mand", + "Comm and", + "Ġ EX", + "ĠE X", + "N one", + "No ne", + "Non e", + "Ġ front", + "Ġf ront", + "Ġfr ont", + "Ġfro nt", + "Ġfron t", + "A SE", + "AS E", + "Ġ Rec", + "ĠR ec", + "ĠRe c", + "ound ation", + "Ġ vo", + "Ġv o", + "9 6", + "= \\\"", + "=\\ \"", + "( *", + "Ch ange", + "Chan ge", + "Cha nge", + ". Write", + ".W rite", + "g roup", + "gr oup", + "gro up", + "i ents", + "ie nts", + "ient s", + "ien ts", + "u y", + "******** ********************************************************", + "**************** ************************************************", + "******************************** ********************************", + "************************ ****************************************", + "**************************************** ************************", + "************************************************ ****************", + "******************************************************** ********", + "Ġ dig", + "Ġd ig", + "Ġdi g", + "h r", + "( -", + "Ġ gen", + "Ġg en", + "Ġge n", + "n umber", + "num ber", + "v ec", + "ve c", + "ur ope", + "uro pe", + "en try", + "ent ry", + "entr y", + "L L", + "Ġ ste", + "Ġs te", + "Ġst e", + "Val id", + "Va lid", + "' ],", + "'] ,", + "_ param", + "_p aram", + "_par am", + "_para m", + "_pa ram", + "Ġ selected", + "Ġse lected", + "Ġselect ed", + "Ġsel ected", + "Ġ according", + "Ġa ccording", + "Ġacc ording", + "Ġaccord ing", + "Ġ Dis", + "ĠD is", + "ĠDi s", + "Ġ util", + "Ġu til", + "Ġut il", + "B uffer", + "Buf fer", + "Buff er", + "Bu ffer", + "_ error", + "_e rror", + "_err or", + "_er ror", + "Ġ associ", + "Ġass oci", + "Ġassoc i", + "_ SIZE", + "_S IZE", + "_SI ZE", + "Ġ wor", + "Ġw or", + "Ġwo r", + "Ġ printf", + "Ġprint f", + "Ġprin tf", + "r ag", + "ra g", + " ł", + "D D", + "Ġ Val", + "ĠV al", + "ĠVa l", + "Ġ activ", + "Ġact iv", + "Ġac tiv", + "E ng", + "En g", + "e time", + "et ime", + "eti me", + "etim e", + "Ġ virtual", + "Ġv irtual", + "Ġvir tual", + "Ġvirt ual", + "a ign", + "ai gn", + "a ur", + "au r", + "Ġ Pres", + "ĠP res", + "ĠPr es", + "ĠPre s", + "Ġ Exception", + "ĠEx ception", + "ĠExcept ion", + "Ġ anything", + "Ġany thing", + "Ġ Off", + "ĠO ff", + "ĠOf f", + "Ġ hours", + "Ġh ours", + "Ġhour s", + "Ġho urs", + "Ġ war", + "Ġw ar", + "Ġwa r", + "Arg s", + "Ar gs", + "a ging", + "ag ing", + "agi ng", + "Ġ models", + "Ġmod els", + "Ġmodel s", + "Ġmode ls", + "Ġ Time", + "ĠT ime", + "ĠTim e", + "ĠTi me", + "O b", + "a ms", + "am s", + "j oy", + "jo y", + "Ġ early", + "Ġear ly", + ". read", + ".re ad", + ".r ead", + "8 6", + "Ġ center", + "Ġc enter", + "Ġcent er", + "Ġcen ter", + "Ġ Initial", + "ĠIn itial", + "ĠInit ial", + "ĠIniti al", + "Ġ language", + "Ġl anguage", + "Ġlangu age", + "l ength", + "le ngth", + "len gth", + "x y", + "Ġ sn", + "Ġs n", + "Ġ inf", + "Ġin f", + "Ġi nf", + "P ost", + "Pos t", + "Po st", + "Ġ ago", + "Ġa go", + "Ġag o", + "Ġ easy", + "Ġe asy", + "Ġeas y", + "Ġea sy", + "_ code", + "_c ode", + "_co de", + "_cod e", + "Ġ ANY", + "ĠA NY", + "ĠAN Y", + "_ ch", + "_c h", + "Ġ download", + "Ġd ownload", + "Ġdown load", + "( T", + "a ved", + "av ed", + "ave d", + "âĢ ĵ", + "Ġ students", + "Ġst udents", + "Ġstud ents", + "Ġstudent s", + "Ġ fig", + "Ġf ig", + "Ġfi g", + "l ight", + "li ght", + "lig ht", + "x x", + "Ġ buffer", + "Ġb uffer", + "Ġbu ffer", + "Ġbuf fer", + "Ġbuff er", + "Ġ Dep", + "ĠD ep", + "ĠDe p", + "Ġ Math", + "ĠM ath", + "ĠMat h", + "ĠMa th", + "I TH", + "IT H", + "Ġ vari", + "Ġv ari", + "Ġvar i", + "Ġva ri", + "Ġ due", + "Ġd ue", + "Ġdu e", + "F actory", + "Fact ory", + "Factor y", + "Ġ por", + "Ġp or", + "Ġpo r", + "Ġ ep", + "Ġe p", + "o type", + "ot ype", + "otyp e", + "oty pe", + "Ġ cannot", + "Ġc annot", + "Ġcan not", + "Ġcann ot", + "Ġ white", + "Ġwh ite", + "Ġwhit e", + "< int", + "čĊ", + "\"> čĊ", + ". annot", + ".an not", + "Ġ collection", + "Ġc ollection", + "Ġcol lection", + "Ġcoll ection", + "Ġcollect ion", + "Ġcolle ction", + "' .", + "Ġ similar", + "Ġs imilar", + "Ġsim ilar", + "Ġsimil ar", + "Ġ taken", + "Ġt aken", + "Ġtake n", + "Ġta ken", + "Ġtak en", + "( \"%", + "(\" %", + "Or der", + "Ord er", + "' ]Ċ", + "'] Ċ", + "- md", + "-m d", + "Ġ TH", + "ĠT H", + "a ced", + "ace d", + "ac ed", + "Ġis n", + "Ġi sn", + "/ j", + "Ġ son", + "Ġs on", + "Ġso n", + "g raph", + "gr aph", + "gra ph", + "Ġ Integer", + "ĠInt eger", + "Ġn ecess", + "Ġne cess", + "Ġnec ess", + "Ġneces s", + "r een", + "re en", + "ree n", + "Ġ um", + "Ġu m", + "Ġ \\<", + "Ġ\\ <", + "Ġ moment", + "Ġm oment", + "Ġmom ent", + "Ġmo ment", + "Ġ bring", + "Ġb ring", + "Ġbr ing", + "Ġbri ng", + "Ġ indic", + "Ġin dic", + "Ġind ic", + "y sis", + "ys is", + "ysi s", + "Le vel", + "v erse", + "ver se", + "vers e", + "ur renc", + "urre nc", + "urr enc", + "_ test", + "_t est", + "_te st", + "Ġent ire", + "D own", + "Do wn", + "Ġ }ĊĊĊ", + "Ġ} ĊĊĊ", + "Ġ}Ċ ĊĊ", + "Ġ}ĊĊ Ċ", + "( result", + "(res ult", + "Ġ Read", + "ĠR ead", + "ĠRe ad", + "à ¨", + "M od", + "Mo d", + "Ġ trying", + "Ġt rying", + "Ġtr ying", + "Ġtry ing", + "\" ),Ċ", + "\") ,Ċ", + "\"), Ċ", + "Ġ member", + "Ġm ember", + "Ġmem ber", + "Ġmemb er", + "Ġ Cor", + "ĠC or", + "ĠCo r", + "O DO", + "OD O", + "- control", + "-c ontrol", + "-cont rol", + "un time", + "unt ime", + "Ġ Sim", + "ĠS im", + "ĠSi m", + "D ialog", + "Di alog", + "Dia log", + "p lot", + "pl ot", + "_ on", + "_o n", + "Ġ phys", + "Ġph ys", + "Ġphy s", + "} /", + "Ġ namespace", + "Ġn amespace", + "Ġname space", + "Ġnames pace", + "ĉ čĊ", + "a cc", + "ac c", + "P layer", + "Pl ayer", + "Play er", + "A RE", + "AR E", + "8 9", + "Ġ foot", + "Ġf oot", + "Ġfo ot", + "Ġfoo t", + "Ġ board", + "Ġb oard", + "Ġbo ard", + "Ġboa rd", + "p art", + "par t", + "pa rt", + "Ġ sus", + "Ġs us", + "Ġsu s", + "w ise", + "wi se", + "wis e", + "Ġ Mc", + "ĠM c", + "Ġ push", + "Ġp ush", + "Ġpu sh", + "Ġpus h", + "A TA", + "AT A", + "Ġ please", + "Ġp lease", + "Ġpl ease", + "Ġple ase", + "Ġplea se", + "Ġpleas e", + "r ied", + "ri ed", + "rie d", + "we et", + "b it", + "bi t", + "i ded", + "id ed", + "ide d", + "V E", + "Ġ Sw", + "ĠS w", + "U B", + "Ġ types", + "Ġt ypes", + "Ġtype s", + "Ġtyp es", + "Ġty pes", + "e dia", + "ed ia", + "edi a", + "Ġc los", + "Ġcl os", + "Ġclo s", + "ace book", + "W hen", + "Wh en", + "Ġ edit", + "Ġe dit", + "Ġed it", + "Ġedi t", + "i gger", + "ig ger", + "igg er", + "Ġe nerg", + "Ġen erg", + "Ġener g", + "Cont ainer", + "Contain er", + "Conta iner", + "Ġ phot", + "Ġp hot", + "Ġph ot", + "Ġ Count", + "ĠC ount", + "ĠCo unt", + "ĠCou nt", + "ĠCoun t", + "Ġ Europe", + "ĠE urope", + "ĠEuro pe", + "ĠEurop e", + "ĠEur ope", + ". Is", + ".I s", + "Ġ Russ", + "ĠR uss", + "ĠRu ss", + "ĠRus s", + "p eed", + "pe ed", + "pee d", + "Ġ Str", + "ĠS tr", + "ĠSt r", + "Ġ py", + "Ġp y", + "Ġ cult", + "Ġc ult", + "Ġcu lt", + "Ġcul t", + "Ġ defined", + "Ġd efined", + "Ġdef ined", + "Ġdefine d", + "Ġdefin ed", + "c count", + "cc ount", + "cco unt", + "Ġo bt", + "Ġob t", + ". Location", + ".L ocation", + ".Lo cation", + "Ġ thread", + "Ġt hread", + "Ġth read", + "Ġthr ead", + "i lle", + "il le", + "ill e", + "Ġ instead", + "Ġin stead", + "Ġinst ead", + "st rong", + "str ong", + "stro ng", + "Ġ Sec", + "ĠS ec", + "ĠSe c", + "U RE", + "UR E", + "Ġ idea", + "Ġi dea", + "Ġid ea", + "Ġide a", + ". se", + ".s e", + "e my", + "em y", + "se lected", + "select ed", + "sel ected", + "Con nection", + "Conn ection", + "Connect ion", + "a cing", + "ac ing", + "aci ng", + "acin g", + "t hread", + "th read", + "thr ead", + ". next", + ".n ext", + ".ne xt", + "Ġ coll", + "Ġc oll", + "Ġco ll", + "Ġcol l", + "Ġ film", + "Ġf ilm", + "Ġfil m", + "Ġfi lm", + "is tic", + "ist ic", + "isti c", + "Ġ compet", + "Ġcom pet", + "Ġcomp et", + "Ġ conn", + "Ġc onn", + "Ġcon n", + "Ġco nn", + "th ough", + "Ġ compan", + "Ġcom pan", + "Ġcomp an", + "o cket", + "oc ket", + "ock et", + "Ġt each", + "Ġte ach", + "Ġtea ch", + "= (", + "Ġ phone", + "Ġp hone", + "Ġph one", + "Ġphon e", + "Ġ active", + "Ġact ive", + "Ġactiv e", + "7 9", + "de lete", + "del ete", + "1 01", + "10 1", + "t ries", + "tr ies", + "trie s", + "tri es", + "Ġ mo", + "Ġm o", + "Ġ death", + "Ġde ath", + "} );ĊĊ", + "});Ċ Ċ", + "}) ;ĊĊ", + "}); ĊĊ", + "o col", + "oc ol", + "oco l", + "W idget", + "Ġ article", + "Ġart icle", + "Ġartic le", + "r odu", + "ro du", + "rod u", + "an did", + "and id", + "andi d", + "Ñ ĭ", + "Ġ Cr", + "ĠC r", + "k a", + "( ):", + "() :", + "l ood", + "lo od", + "loo d", + "ĉ ĉĉĊ", + "ĉĉ ĉĊ", + "ĉĉĉ Ċ", + "Ġ almost", + "Ġal most", + "Ġalm ost", + "Ġ sell", + "Ġs ell", + "Ġse ll", + "Ġsel l", + "erv let", + "r ip", + "ri p", + "U nit", + "Un it", + "Uni t", + "Ġapp lic", + "Ġappl ic", + "Ġ connect", + "Ġcon nect", + "Ġconn ect", + "Ġ feature", + "Ġf eature", + "Ġfe ature", + "Ġfeat ure", + "Ġ via", + "Ġv ia", + "Ġvi a", + "' ),", + "') ,", + "Ġ lim", + "Ġl im", + "Ġli m", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ Gu", + "ĠG u", + "E ngine", + "Eng ine", + "Ġ ens", + "Ġe ns", + "Ġen s", + "Ġ environment", + "Ġen vironment", + "Ġenviron ment", + "b lock", + "bl ock", + "blo ck", + "H ERE", + "HE RE", + "HER E", + "N ULL", + "NU LL", + "g y", + "t ag", + "ta g", + ") ).", + ")) .", + "e xp", + "ex p", + "Ġcom pl", + "Ġco mpl", + "Ġcomp l", + "Ġ install", + "Ġinst all", + "Ġinstal l", + "Ġ complete", + "Ġcom plete", + "Ġcomp lete", + "Ġcomple te", + "Ġcomplet e", + "Ġcompl ete", + "q ueue", + "que ue", + "at ural", + "atur al", + "atura l", + "atu ral", + "Ġ general", + "Ġg eneral", + "Ġgener al", + "Ġgen eral", + "Ġgene ral", + "Ġgenera l", + "t hon", + "th on", + "Ġas ked", + "Ġask ed", + "o res", + "or es", + "ore s", + "( res", + "(r es", + "(re s", + "Ġ reserved", + "Ġres erved", + "Ġreserve d", + "Ġreserv ed", + "S P", + "Ġ âĢ¦", + "ĠâĢ ¦", + "Å Ĥ", + "Ġsign ific", + "O ff", + "Of f", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ Ag", + "ĠA g", + "Ġ Just", + "ĠJ ust", + "ĠJu st", + "Ġ Error", + "ĠE rror", + "ĠEr ror", + "ĠErr or", + "Ġin fl", + "Ġinf l", + "a data", + "ad ata", + "ada ta", + "Ġ icon", + "Ġi con", + "Ġic on", + "as ks", + "ask s", + "' '", + "_ LO", + "_L O", + "? .", + "a ccount", + "ac count", + "acc ount", + "acco unt", + "Ġ (*", + "Ġ( *", + "' )ĊĊ", + "') ĊĊ", + "')Ċ Ċ", + "r ap", + "ra p", + "_ var", + "_v ar", + "_va r", + "Ġ FOR", + "ĠF OR", + "ĠFO R", + "Ġ party", + "Ġp arty", + "Ġpart y", + "Ġpar ty", + "Ġ Your", + "ĠY our", + "ĠYou r", + "ĠYo ur", + "c at", + "ca t", + "s try", + "st ry", + "str y", + ". new", + ".n ew", + ".ne w", + "b oot", + "bo ot", + "boo t", + "Ġ Nov", + "ĠN ov", + "ĠNo v", + "Ġ vector", + "Ġv ector", + "Ġve ctor", + "Ġvec tor", + "Ġvect or", + "Ġ normal", + "Ġn ormal", + "Ġnor mal", + "Ġnorm al", + "Ġf urther", + "Ġfur ther", + "Re pository", + "8 00", + "80 0", + "Ġ database", + "Ġd atabase", + "Ġdata base", + "Ġdat abase", + "Ġdatab ase", + "at tle", + "att le", + "Ġ music", + "Ġm usic", + "Ġmus ic", + "Ġmu sic", + "Ġ speed", + "Ġs peed", + "Ġsp eed", + "Ġspe ed", + "Ġ doc", + "Ġd oc", + "Ġdo c", + "p rocess", + "pro cess", + "proc ess", + "IG HT", + "IGH T", + ". parse", + ".p arse", + ".par se", + "Ġ taking", + "Ġt aking", + "Ġta king", + "Ġtak ing", + "Ġ viol", + "Ġv iol", + "Ġvi ol", + "c eed", + "ce ed", + "cee d", + "Ġ After", + "ĠA fter", + "ĠAf ter", + "Ġ forward", + "Ġfor ward", + "Ġ crit", + "Ġc rit", + "Ġcr it", + "Ġcri t", + "\" />Ċ", + "\"/ >Ċ", + "\"/> Ċ", + "r ot", + "ro t", + "Ġ failed", + "Ġf ailed", + "Ġfa iled", + "Ġfail ed", + "e fore", + "ef ore", + "Ġcon cern", + "Ġconc ern", + "Ġconce rn", + "o e", + "b a", + "Ġ sender", + "Ġs ender", + "Ġse nder", + "Ġsend er", + "Ġsen der", + "Ġ term", + "Ġt erm", + "Ġte rm", + "Ġter m", + "h as", + "ha s", + "= \"#", + "=\" #", + "Ġ potential", + "Ġpot ential", + "Ġpotent ial", + "N um", + "Nu m", + "Ġ published", + "Ġp ublished", + "Ġpublish ed", + "Ġpubli shed", + ". close", + ".c lose", + ".cl ose", + "Ġ Image", + "ĠI mage", + "ĠIm age", + "ĠImag e", + "str aint", + "stra int", + "strain t", + "U D", + "Ġ Ob", + "ĠO b", + "Ġ probably", + "Ġprob ably", + "l im", + "li m", + "\" :Ċ", + "\": Ċ", + "ol ume", + "olum e", + "olu me", + "Ġ consum", + "Ġcon sum", + "Ġcons um", + "7 6", + "a gue", + "ag ue", + "agu e", + "ens ions", + "ension s", + "ensi ons", + "Ġinvest ig", + "- year", + "-y ear", + "' );", + "') ;", + "- sm", + "-s m", + "Ġen joy", + "Ġenjo y", + "o rig", + "or ig", + "ori g", + "e ring", + "er ing", + "eri ng", + "erin g", + "c p", + "le ased", + "lease d", + "lea sed", + "p lements", + "pl ements", + "ple ments", + "plement s", + "Ġ returns", + "Ġreturn s", + "p at", + "pa t", + "B O", + "Ġ House", + "ĠH ouse", + "ĠHo use", + "ĠHou se", + ". Label", + ".L abel", + "Ġ weight", + "Ġw eight", + "Ġwe ight", + "Ġweigh t", + "Ġwei ght", + "ig hb", + "igh b", + "Ġ conditions", + "Ġcondition s", + "Ġcond itions", + "Ġ exception", + "Ġex ception", + "Ġexcept ion", + "Ġexce ption", + "d escription", + "de scription", + "des cription", + "Ġ trad", + "Ġt rad", + "Ġtr ad", + "Ġtra d", + "- to", + "-t o", + "Ġ {}", + "Ġ{ }", + "Ġ module", + "Ġm odule", + "Ġmod ule", + "E ND", + "EN D", + ". ap", + ".a p", + ". props", + ".p rops", + ".pro ps", + ".pr ops", + ".prop s", + "Ġ constructor", + "Ġcon structor", + "Ġconstruct or", + "Ġconstr uctor", + "a ves", + "av es", + "ave s", + "Ġ favor", + "Ġf avor", + "Ġfa vor", + "Ġfav or", + "Ġ Now", + "ĠN ow", + "ĠNo w", + "; i", + "Ġ Main", + "ĠM ain", + "ĠMa in", + "ĠMai n", + "_ k", + "e ries", + "er ies", + "erie s", + "eri es", + "âĢĻ ll", + "âĢĻl l", + "trans form", + "ime stamp", + "imest amp", + "P re", + "Pr e", + "Ġ mer", + "Ġm er", + "Ġme r", + ". res", + ".re s", + ".r es", + "s tant", + "st ant", + "sta nt", + "stan t", + "L ocation", + "Lo cation", + "Loc ation", + "_ NAME", + "_N AME", + "Ġ loss", + "Ġl oss", + "Ġlo ss", + "Ġlos s", + "Ġ ĊĊ", + "ĠĊ Ċ", + "n et", + "ne t", + "Ġ engine", + "Ġe ngine", + "Ġeng ine", + "B lock", + "Bl ock", + "Bloc k", + "Blo ck", + "Ġ issues", + "Ġiss ues", + "Ġissue s", + "Ġissu es", + "Ġ parse", + "Ġp arse", + "Ġpar se", + "Ġpars e", + "Ġ Bar", + "ĠB ar", + "ĠBa r", + "Ġ stay", + "Ġst ay", + "Ġsta y", + "Ġ JSON", + "ĠJ SON", + "ĠJS ON", + "Ġ dom", + "Ġd om", + "Ġdo m", + "a irs", + "air s", + "ai rs", + "w ner", + "wn er", + "Ġ lower", + "Ġl ower", + "Ġlo wer", + "Ġlow er", + "\" ,čĊ", + "\", čĊ", + "Ġ Dem", + "ĠD em", + "ĠDe m", + "u fact", + "uf act", + "ufac t", + "Ġ ps", + "Ġp s", + "Ġ perfect", + "Ġper fect", + "Ġperf ect", + "R L", + "Ġ educ", + "Ġe duc", + "Ġed uc", + "Ġedu c", + "l s", + "em ory", + "emo ry", + "ARR ANT", + "u ge", + "ug e", + "Ġ exact", + "Ġex act", + ". key", + ".k ey", + ".ke y", + "al led", + "all ed", + "alle d", + "e ch", + "ec h", + "i ef", + "ie f", + "\\ /", + "o ke", + "ok e", + "Ġ former", + "Ġfor mer", + "Ġform er", + "Ġforme r", + "al loc", + "all oc", + "allo c", + "Ġ six", + "Ġs ix", + "Ġsi x", + "i da", + "id a", + "Ġ margin", + "Ġm argin", + "Ġmar gin", + "Ġmarg in", + "Ġ heart", + "Ġhe art", + "Ġhear t", + "a ld", + "al d", + "p ack", + "pa ck", + "pac k", + ".getElement ById", + "ĠW ARRANT", + "Ġ rather", + "Ġr ather", + "Ġrat her", + "Ġra ther", + "Ġ building", + "Ġbuild ing", + "er man", + "erm an", + "l ice", + "lic e", + "li ce", + "Ġ questions", + "Ġquest ions", + "Ġquestion s", + "Ġquesti ons", + "i zes", + "iz es", + "ize s", + "le ge", + "leg e", + "irect ory", + "irector y", + "Ġ je", + "Ġj e", + "Ġ cas", + "Ġc as", + "Ġca s", + "p rops", + "pr ops", + "pro ps", + "prop s", + "u tf", + "ut f", + "Ġ security", + "Ġs ecurity", + "Ġse curity", + "Ġsec urity", + "Ġ however", + "Ġhow ever", + "w eight", + "we ight", + "wei ght", + "weigh t", + "Ġ inside", + "Ġin side", + "Ġins ide", + "Ġp resident", + "Ġpres ident", + "C har", + "Ch ar", + "Cha r", + "Ġ WITH", + "ĠW ITH", + "ĠWI TH", + ". map", + ".m ap", + ".ma p", + "Ġ graph", + "Ġg raph", + "Ġgr aph", + "Ġgra ph", + "Ġgrap h", + "Ġ tag", + "Ġt ag", + "Ġta g", + "_ status", + "_s tatus", + "_st atus", + "_stat us", + "Ġ attempt", + "Ġat tempt", + "Ġatt empt", + "o pp", + "op p", + "u ses", + "us es", + "use s", + "ĉ const", + "ĉcon st", + "Ġ round", + "Ġr ound", + "Ġro und", + "Ġrou nd", + ", $", + "Ġ friends", + "Ġf riends", + "Ġfri ends", + "Ġfriend s", + "E mail", + "Em ail", + "? >", + "Re source", + "Res ource", + "K EY", + "KE Y", + "o sp", + "os p", + ". query", + ".qu ery", + "Ġ North", + "ĠN orth", + "ĠNor th", + "a bles", + "ab les", + "able s", + "abl es", + "is trib", + "ist rib", + "istr ib", + "_ class", + "_c lass", + "_cl ass", + "el lo", + "ell o", + "T hat", + "Th at", + "Ð º", + "pec ially", + "pecial ly", + "Ġ President", + "ĠP resident", + "ĠPres ident", + "Ġ campaign", + "Ġc ampaign", + "Ġcamp aign", + "Ġ alt", + "Ġa lt", + "Ġal t", + "a rea", + "ar ea", + "are a", + "Ġc hall", + "Ġch all", + "Ġcha ll", + "Ġop port", + "Ġopp ort", + ". Con", + ".C on", + ".Co n", + "Ġ energy", + "Ġe nergy", + "Ġen ergy", + "Ġenerg y", + "Ġener gy", + "l ike", + "li ke", + "lik e", + ". string", + ".s tring", + ".st ring", + ".str ing", + "ing ton", + "ingt on", + ") *", + "y y", + "Ġ profession", + "Ġprof ession", + "Ġprofess ion", + "ir th", + "irt h", + "Ġ seg", + "Ġs eg", + "Ġse g", + "æ ľ", + "Ġ hor", + "Ġh or", + "Ġho r", + "i ers", + "ie rs", + "ier s", + "c an", + "ca n", + "Ġbe hind", + "Ġbeh ind", + "Pro duct", + "Produ ct", + "Prod uct", + "f g", + "Ġ Sk", + "ĠS k", + ". jpg", + ".j pg", + ".jp g", + "? :", + "] ;ĊĊ", + "];Ċ Ċ", + "]; ĊĊ", + "Ġ callback", + "Ġc allback", + "Ġcall back", + "Ġ Http", + "ĠH ttp", + "Ñ Į", + "l ong", + "lo ng", + "lon g", + "M S", + "A TH", + "AT H", + "Ġ raise", + "Ġr aise", + "Ġrais e", + "Ġra ise", + "Ġ wanted", + "Ġw anted", + "Ġwant ed", + "Ġwan ted", + "r own", + "ro wn", + "row n", + "u tor", + "ut or", + "uto r", + "l t", + "] =", + "e line", + "el ine", + "eli ne", + "elin e", + "M A", + "Ġs epar", + "Ġse par", + "Ġsep ar", + "c s", + "s emb", + "se mb", + "sem b", + "D is", + "Di s", + "b serv", + "bs erv", + "Ġ Will", + "ĠW ill", + "ĠWil l", + "ĠWi ll", + "Ġ policy", + "Ġp olicy", + "Ġpol icy", + "Ġpolic y", + "Ġ third", + "Ġth ird", + "Ġthi rd", + "p hone", + "ph one", + "phon e", + "Ġ bed", + "Ġb ed", + "Ġbe d", + "/ g", + ". __", + "._ _", + "Ġ Inc", + "ĠI nc", + "ĠIn c", + "i zing", + "iz ing", + "izi ng", + "izin g", + ". remove", + ".re move", + ".rem ove", + "in stance", + "inst ance", + "instanc e", + ". type", + ".t ype", + ".typ e", + "Ġ serv", + "Ġs erv", + "Ġse rv", + "Ġser v", + "E ach", + "Ġ har", + "Ġh ar", + "Ġha r", + "Ġ Message", + "ĠM essage", + "ĠMess age", + "ĠMes sage", + "( key", + "(k ey", + "SE LECT", + "SEL ECT", + "P os", + "Po s", + ") );čĊ", + ")) ;čĊ", + ")); čĊ", + "Ġre comm", + "Ġrec omm", + "Ġrecom m", + "Ġreco mm", + "Ġ training", + "Ġtr aining", + "Ġtrain ing", + "Ġtra ining", + "Ġtrai ning", + "Ġ Ent", + "ĠE nt", + "ĠEn t", + "Ġ Char", + "ĠC har", + "ĠCh ar", + "ĠCha r", + "i cht", + "ic ht", + "ich t", + "( file", + "(f ile", + "(fi le", + "(fil e", + "Ġ prior", + "Ġp rior", + "Ġpr ior", + "Ġpri or", + "Ġprio r", + "G ame", + "Gam e", + "Ga me", + "Ġ exit", + "Ġe xit", + "Ġex it", + "Param s", + "Par ams", + "Pa rams", + "Para ms", + ". core", + ".c ore", + ".co re", + ".cor e", + "P C", + "n es", + "ne s", + "an ced", + "ance d", + "anc ed", + "( request", + "(re quest", + "(req uest", + "P assword", + "Pass word", + "Pas sword", + "} >Ċ", + "}> Ċ", + "Ġ mag", + "Ġm ag", + "Ġma g", + "Ġ release", + "Ġre lease", + "Ġr elease", + "Ġrel ease", + "Ġrele ase", + "Ġ shall", + "Ġs hall", + "Ġsh all", + "Ġsha ll", + "u dent", + "ud ent", + "ude nt", + "uden t", + "Ġ South", + "ĠS outh", + "ĠSo uth", + "ĠSou th", + "a ndo", + "an do", + "and o", + ": '", + ". TabIndex", + ".Tab Index", + "s k", + "an ner", + "ann er", + "anne r", + "is set", + "iss et", + "isse t", + "Ġ outside", + "Ġout side", + "Ġouts ide", + "l edge", + "le dge", + "led ge", + "Ġ å", + "Ġ Rob", + "ĠR ob", + "ĠRo b", + "Ġ imm", + "Ġi mm", + "Ġim m", + "! Ċ", + "Ġ Web", + "ĠW eb", + "ĠWe b", + "D es", + "De s", + "B C", + "an cial", + "anc ial", + "ancia l", + "R oute", + "Ro ute", + "D ec", + "De c", + "fer ences", + "ference s", + "Ġp urch", + "Ġpur ch", + "Ġpu rch", + "Ġ Model", + "ĠM odel", + "ĠMod el", + "ĠMo del", + "ĠMode l", + "c tor", + "ct or", + "g n", + "_ start", + "_st art", + "_star t", + "_sta rt", + "_ un", + "_u n", + ". *", + "i ses", + "is es", + "ise s", + "Ġ ground", + "Ġg round", + "Ġgr ound", + "Ġgro und", + "Ġgrou nd", + "Ġ unique", + "Ġun ique", + "Ġuniqu e", + "Ġuni que", + "Ġuniq ue", + "Ġbe aut", + "Ġbeau t", + "{ \"", + "Ġ pour", + "Ġp our", + "Ġpo ur", + "Ġpou r", + "Ġ Oct", + "ĠO ct", + "ĠOc t", + "Ġ tree", + "Ġt ree", + "Ġtr ee", + "Ġtre e", + "s ets", + "se ts", + "set s", + "_ res", + "_re s", + "_r es", + "' )->", + "') ->", + "_ reg", + "_re g", + "_r eg", + "( \"\\", + "(\" \\", + "Ġ byte", + "Ġb yte", + "Ġby te", + "Ġbyt e", + "B l", + "Ġ dating", + "Ġd ating", + "Ġda ting", + "Ġdat ing", + "Ġdati ng", + "Ġ matter", + "Ġm atter", + "Ġmat ter", + "Ġmatt er", + "Ġmatte r", + "Ġ Rem", + "ĠR em", + "ĠRe m", + "Ġ' ../", + "Ġ'. ./", + "Ġ'.. /", + "Ġ Aug", + "ĠA ug", + "ĠAu g", + "Ġ La", + "ĠL a", + "Ġ $(", + "Ġ$ (", + "o urnal", + "our nal", + "ourn al", + "1 11", + "11 1", + "i am", + "ia m", + "Ġ shows", + "Ġsh ows", + "Ġshow s", + "Ġsho ws", + "w rite", + "wr ite", + "Ġ ball", + "Ġb all", + "Ġbal l", + "Ġba ll", + "Ġsim ply", + "Ġsimp ly", + "Ġsimpl y", + "Ġ fast", + "Ġf ast", + "Ġfa st", + "Ġfas t", + "Ġ memory", + "Ġm emory", + "Ġmem ory", + "Ġmemor y", + "Ġmemo ry", + "A SS", + "AS S", + "Ġ Of", + "ĠO f", + "o ved", + "ov ed", + "ove d", + "a nte", + "an te", + "ant e", + "a ul", + "au l", + "i stry", + "is try", + "ist ry", + "istr y", + ") ));Ċ", + ")) );Ċ", + "))) ;Ċ", + "))); Ċ", + "Ġ fit", + "Ġf it", + "Ġfi t", + "< string", + "_", + "-> _", + "\" )ĊĊ", + "\") ĊĊ", + "\")Ċ Ċ", + "o x", + "ap plication", + "app lication", + "appl ication", + "Ġ ]Ċ", + "Ġ] Ċ", + "Ċ ĊĊĊĊĊ", + "ĊĊ ĊĊĊĊ", + "ĊĊĊĊ ĊĊ", + "ĊĊĊ ĊĊĊ", + "ĊĊĊĊĊ Ċ", + "1 80", + "18 0", + "Ġ soon", + "Ġs oon", + "Ġso on", + "Ġsoo n", + "ct ions", + "ction s", + "i nger", + "in ger", + "ing er", + "inge r", + "Ġ join", + "Ġj oin", + "Ġjo in", + "Ġ Pe", + "ĠP e", + "Ġ ë", + "Ġ las", + "Ġl as", + "Ġla s", + ". E", + "c ss", + "cs s", + "/ or", + "/o r", + "Ġ Start", + "ĠSt art", + "ĠStar t", + "ĠSta rt", + "Ġ TO", + "ĠT O", + "Ġ subs", + "Ġs ubs", + "Ġsu bs", + "Ġsub s", + "c onn", + "con n", + "co nn", + "com ponents", + "comp onents", + "component s", + "DE BUG", + "qu are", + "qua re", + "F unction", + "Func tion", + "Fun ction", + "en dar", + "end ar", + "enda r", + ". index", + ".in dex", + ".ind ex", + "Ġ fill", + "Ġf ill", + "Ġfil l", + "Ġfi ll", + "Ä Ļ", + "Ġ choose", + "Ġch oose", + "Ġcho ose", + "h ow", + "ho w", + "Ġ America", + "ĠAmeric a", + "ĠAmer ica", + "as sets", + "ass ets", + "asset s", + "asse ts", + "- -----------", + "-- ----------", + "---- --------", + "-------- ----", + "--- ---------", + "----- -------", + "---------- --", + "------ ------", + "----------- -", + "------- -----", + "--------- ---", + "Ġ Value", + "ĠV alue", + "ĠVal ue", + "ĠVa lue", + "Ġ office", + "Ġoff ice", + "Ġoffic e", + "Ġ veh", + "Ġv eh", + "Ġve h", + "Ġ transform", + "Ġtrans form", + "Ġtransf orm", + "Ġ Art", + "ĠA rt", + "ĠAr t", + "Ġ inde", + "Ġin de", + "Ġi nde", + "Ġind e", + "Ġ fn", + "Ġf n", + "Ġ implements", + "Ġim plements", + "Ġimp lements", + "Ġimplement s", + "Ġimpl ements", + "a ngo", + "an go", + "ang o", + "p lete", + "pl ete", + "ple te", + "plet e", + "+ \"", + "t mp", + "tm p", + "am ily", + "ami ly", + "amil y", + "Ġ hash", + "Ġh ash", + "Ġhas h", + "Ġha sh", + "m issions", + "miss ions", + "mission s", + "E ST", + "ES T", + "g t", + "Pro vider", + "Provid er", + "Provide r", + "Prov ider", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "Ġ flag", + "Ġf lag", + "Ġfl ag", + "Ġfla g", + "Ġpart icip", + "Ġpartic ip", + "Ġparti cip", + "d en", + "de n", + "Ġ Returns", + "ĠReturn s", + "Ġ note", + "Ġn ote", + "Ġnot e", + "Ġno te", + "ü r", + "p m", + "id eos", + "ide os", + "ideo s", + "Ġ specified", + "Ġs pecified", + "Ġspec ified", + "Ġ EN", + "ĠE N", + "e ster", + "es ter", + "est er", + "este r", + "o lid", + "ol id", + "oli d", + "Ġ upon", + "Ġu pon", + "Ġup on", + "( std", + "(s td", + "(st d", + "ĉ v", + "Ġ '\\", + "Ġ' \\", + "u z", + "Ġ vert", + "Ġv ert", + "Ġver t", + "Ġve rt", + "Ġv ict", + "Ġvi ct", + "Ġvic t", + "ĉ self", + "ĉs elf", + "ĉse lf", + "Ġ \"$", + "Ġ\" $", + "8 5", + ". k", + "Ġ groups", + "Ġg roups", + "Ġgroup s", + "Ġgro ups", + "Ġgrou ps", + "g ithub", + "git hub", + "l ang", + "la ng", + "lan g", + "Ġ mut", + "Ġm ut", + "Ġmu t", + "T O", + "Ġ ve", + "Ġv e", + "Ġ Please", + "ĠP lease", + "ĠPl ease", + "ĠPle ase", + "; ĊĊĊ", + ";Ċ ĊĊ", + ";ĊĊ Ċ", + "a ccess", + "ac cess", + "acc ess", + "Ġ {\"", + "Ġ{ \"", + "r ea", + "re a", + "Ġ risk", + "Ġr isk", + "Ġris k", + "Ġri sk", + "i cker", + "ic ker", + "ick er", + "og gle", + "ogg le", + "ĉ while", + "A NG", + "AN G", + ". send", + ".s end", + ".se nd", + "7 2", + "Ġ woman", + "Ġw oman", + "Ġwom an", + "Ġwo man", + "Ġ gets", + "Ġg ets", + "Ġget s", + "Ġge ts", + "Ġ ign", + "Ġi gn", + "Ġig n", + "Ġ Id", + "ĠI d", + "_ log", + "_l og", + "_lo g", + "O NE", + "ON E", + "Ġe vid", + "Ġev id", + "Ġ Har", + "ĠH ar", + "ĠHa r", + "_ sub", + "_s ub", + "_su b", + "Ġ endl", + "Ġe ndl", + "Ġen dl", + "Ġend l", + "Ġ included", + "Ġin cluded", + "Ġinclud ed", + "Ġinclude d", + "Ġincl uded", + "Ġinclu ded", + "( ));ĊĊ", + "() );ĊĊ", + "());Ċ Ċ", + "()) ;ĊĊ", + "()); ĊĊ", + "Ġ Ap", + "ĠA p", + "i gr", + "ig r", + "Ġ sem", + "Ġs em", + "Ġse m", + "Ġ Black", + "ĠB lack", + "ĠBl ack", + "d oc", + "do c", + "_ table", + "_t able", + "_tab le", + "_ta ble", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "- up", + "-u p", + "Ġ cause", + "Ġc ause", + "Ġca use", + "Ġcaus e", + "Ġ ..", + "Ġ. .", + "Ġ van", + "Ġv an", + "Ġva n", + "_ dict", + "_d ict", + "_di ct", + "_dic t", + "Ġ focus", + "Ġf ocus", + "Ġfoc us", + "Ġfo cus", + "I ND", + "IN D", + "C ESS", + "CE SS", + "CES S", + ". Log", + ".L og", + ".Lo g", + "Ġ multiple", + "Ġm ultiple", + "Ġmult iple", + "Ġmulti ple", + "Ġmultip le", + "i do", + "id o", + "Ġre gard", + "Ġreg ard", + "- M", + "and ler", + "andle r", + "o urse", + "our se", + "ours e", + "Ġ deg", + "Ġd eg", + "Ġde g", + ". U", + "Ġadd ition", + "Ġad dition", + "Ġv arious", + "Ġvar ious", + "Ġvari ous", + "Ġva rious", + "Ġ receive", + "Ġre ceive", + "Ġrece ive", + "е н", + "еР½", + "Ġ HT", + "ĠH T", + "O bj", + "Ob j", + "D F", + "Ġ increase", + "Ġin crease", + "Ġincre ase", + "Ġincr ease", + "Ġ Open", + "ĠO pen", + "ĠOp en", + "] ;", + "Ġ commit", + "Ġcom mit", + "Ġcomm it", + "? Ċ", + "ateg ories", + "ategor ies", + "ategori es", + "ategorie s", + "atego ries", + "at ory", + "ator y", + "ato ry", + "s hip", + "sh ip", + "shi p", + "Ġ Mich", + "ĠM ich", + "ĠMi ch", + "ĠMic h", + "Ġ html", + "Ġh tml", + "Ġht ml", + "ro mise", + "rom ise", + "Ġ leave", + "Ġle ave", + "Ġstr ateg", + "Ġstrat eg", + "Ġstra teg", + "Ġstrate g", + "a ven", + "av en", + "ave n", + "Ġ Console", + "ĠCon sole", + "ĠCons ole", + "k nown", + "kn own", + "know n", + "- n", + "_ LE", + "_L E", + ". component", + ".com ponent", + ".comp onent", + "Ġ bre", + "Ġb re", + "Ġbr e", + "S ession", + "i ance", + "ia nce", + "ian ce", + "Ġ align", + "Ġal ign", + "Ġali gn", + "type def", + "typ edef", + "typed ef", + "_ result", + "_res ult", + "Ġ WHERE", + "ĠW HERE", + "ĠWH ERE", + ". split", + ".s plit", + ".sp lit", + "Ġ reading", + "Ġre ading", + "Ġread ing", + "FA ULT", + "Ġ clo", + "Ġc lo", + "Ġcl o", + "Ġ notice", + "Ġnot ice", + "_ pr", + "_p r", + "ar ter", + "art er", + "arte r", + "Ġ lock", + "Ġl ock", + "Ġlo ck", + "Ġloc k", + "Ġ standard", + "Ġst andard", + "Ġstand ard", + "e tic", + "et ic", + "eti c", + "el low", + "ell ow", + "ello w", + "Ġ padding", + "Ġp adding", + "Ġpad ding", + "Ġpadd ing", + "Ġ His", + "ĠH is", + "ĠHi s", + "Ġ states", + "Ġst ates", + "Ġstate s", + "Ġstat es", + "Ġsta tes", + "_ cast", + "_c ast", + "_ca st", + "( P", + "a a", + "Ġ internal", + "Ġin ternal", + "Ġint ernal", + "Ġinter nal", + "Ġintern al", + "e an", + "ea n", + "Ġ PRO", + "ĠP RO", + "ĠPR O", + "Ġ Key", + "ĠK ey", + "ĠKe y", + "Ġ especially", + "Ġes pecially", + "Ġespecial ly", + "Ġespec ially", + "m ing", + "min g", + "mi ng", + "Ġ cross", + "Ġc ross", + "Ġcr oss", + "Ġcro ss", + "Ġ national", + "Ġn ational", + "Ġnation al", + "Ġnat ional", + "_ object", + "_obj ect", + "_o bject", + "_ob ject", + "f ilter", + "fil ter", + "filt er", + "Ġ script", + "Ġs cript", + "Ġscr ipt", + "Ġscri pt", + ". update", + ".up date", + "_ i", + "Ġ Assert", + "ĠAs sert", + "ĠAss ert", + "/ core", + "/c ore", + "/co re", + "% %%%", + "%% %%", + "%%% %", + "Ġ problems", + "Ġpro blems", + "Ġproble ms", + "Ġproblem s", + "Ġprob lems", + "Ġprobl ems", + "i stor", + "is tor", + "ist or", + "isto r", + "Ġ .=", + "Ġ. =", + "Ġ arch", + "Ġa rch", + "Ġar ch", + "Ġarc h", + "Ġ written", + "Ġw ritten", + "Ġwrit ten", + "Ġwr itten", + "Ġm ilit", + "Ġmil it", + "Ġmi lit", + "Ġmili t", + "M ENT", + "ME NT", + ". ch", + ".c h", + "c ape", + "ca pe", + "cap e", + "Ġ Mus", + "ĠM us", + "ĠMu s", + "_ config", + "_con fig", + "_conf ig", + "Ġ API", + "ĠA PI", + "ĠAP I", + "f oot", + "fo ot", + "foo t", + "Ġ images", + "Ġim ages", + "Ġimage s", + "Ġimag es", + "Ġima ges", + "e ndl", + "en dl", + "end l", + ". In", + ".I n", + "F irst", + "Fi rst", + "Ġ platform", + "Ġpl atform", + "Ġplat form", + ". prot", + ".p rot", + ".pro t", + ".pr ot", + "O ption", + "Op tion", + "Opt ion", + "s te", + "st e", + "Ġ TODO", + "ĠT ODO", + "ĠTO DO", + "ĠTOD O", + "Ġ force", + "Ġf orce", + "Ġfor ce", + "Ġforc e", + ". cont", + ".c ont", + ".con t", + ".co nt", + "ĉ echo", + "ĉe cho", + "ĠD av", + "ĠDa v", + "P tr", + "Pt r", + "( B", + "R T", + "Ġ Base", + "ĠB ase", + "ĠBa se", + "ĠBas e", + "] ['", + "][ '", + "Ġann ounc", + "Ġanno unc", + "con sole", + "cons ole", + "Ġ Py", + "ĠP y", + "d s", + ". as", + ".a s", + "Ġ prevent", + "Ġpr event", + "Ġpre vent", + "Ġprev ent", + "a pan", + "ap an", + "apa n", + "Ġ {'", + "Ġ{ '", + "} '", + "Ġ dead", + "Ġd ead", + "Ġde ad", + "V AL", + "VA L", + "Q UE", + "QU E", + "******** ****************************************************************", + "**************** ********************************************************", + "******************************** ****************************************", + "**************************************************************** ********", + "************************ ************************************************", + "**************************************** ********************************", + "************************************************ ************************", + "******************************************************** ****************", + "Ġ charg", + "Ġch arg", + "Ġchar g", + "Ġcha rg", + "R eturn", + "Re turn", + "Ret urn", + "Ġ ful", + "Ġf ul", + "Ġfu l", + "d om", + "do m", + "Ġ rules", + "Ġr ules", + "Ġrule s", + "Ġru les", + "Ġ modify", + "Ġmod ify", + "Ġ eval", + "Ġe val", + "Ġev al", + "h am", + "ha m", + "a tement", + "at ement", + "ate ment", + "atem ent", + "\\ <", + "u la", + "ul a", + "= False", + "=F alse", + "R A", + "Ġ contains", + "Ġcon tains", + "Ġcont ains", + "Ġcontain s", + "Ġconta ins", + "7 4", + "Ġ stack", + "Ġst ack", + "Ġsta ck", + "m ar", + "ma r", + "Ġ {}Ċ", + "Ġ{ }Ċ", + "Ġ{} Ċ", + "Ġ undefined", + "Ġun defined", + "Ġund efined", + "Ġundef ined", + "A ss", + "As s", + "Ġ China", + "ĠCh ina", + "ĠChi na", + "ĠChin a", + "v ey", + "ve y", + "* Ċ", + "Ġ playing", + "Ġpl aying", + "Ġplay ing", + "Ġpla ying", + ") /", + "a ctor", + "act or", + "ac tor", + "Ġ bottom", + "Ġb ottom", + "Ġbot tom", + "Ġbott om", + "l ier", + "li er", + "lie r", + "Ġ Number", + "ĠN umber", + "ĠNum ber", + "Ġc ouple", + "Ġco uple", + "Ġcou ple", + "Ġcoup le", + "D C", + "Ġ SO", + "ĠS O", + "g or", + "go r", + ". setText", + ".set Text", + "s uccess", + "su ccess", + "succ ess", + "com mand", + "comm and", + "comma nd", + "F ilter", + "Fil ter", + "Ġ Our", + "ĠO ur", + "ĠOu r", + "_ item", + "_i tem", + "_it em", + "Ġ ctx", + "Ġc tx", + "Ġct x", + "Ġ road", + "Ġr oad", + "Ġro ad", + "V ersion", + "Vers ion", + "c ase", + "ca se", + "cas e", + "u rt", + "ur t", + "av ior", + "avi or", + "y ch", + "yc h", + "semb ly", + "sembl y", + "Ġ Product", + "ĠPro duct", + "ĠProdu ct", + "ĠProd uct", + "Ġ held", + "Ġh eld", + "Ġhe ld", + "Ġhel d", + "a fe", + "af e", + "Ġ includes", + "Ġin cludes", + "Ġinclud es", + "Ġinclude s", + "Ġincl udes", + "Ġinclu des", + "< quote", + "Ġ avoid", + "Ġa void", + "Ġav oid", + "Ġ Fin", + "ĠF in", + "ĠFi n", + "Ġ Mod", + "ĠM od", + "ĠMo d", + "Ġ tab", + "Ġt ab", + "Ġta b", + "a no", + "an o", + "à ±", + "i pping", + "ip ping", + "ipp ing", + "ippi ng", + "- e", + "Ġ insert", + "Ġin sert", + "Ġins ert", + "Ġinser t", + "Ġinse rt", + "t arget", + "tar get", + "c han", + "ch an", + "cha n", + ". Model", + ".M odel", + ".Mod el", + ".Mode l", + "I ME", + "IM E", + "\\ Ċ", + "Ġ machine", + "Ġm achine", + "Ġma chine", + "Ġmach ine", + "a vy", + "av y", + "Ġ NO", + "ĠN O", + "Ġ Inter", + "ĠIn ter", + "ĠInt er", + "Ġ operation", + "Ġo peration", + "Ġop eration", + "Ġoper ation", + "Ġopera tion", + "m odal", + "mod al", + "mo dal", + "T ag", + "Ta g", + "] :", + "Ġ production", + "Ġp roduction", + "Ġpro duction", + "Ġproduct ion", + "Ġprodu ction", + "Ġprod uction", + "Ġ areas", + "Ġa reas", + "Ġare as", + "Ġarea s", + "Ġ ren", + "Ġre n", + "Ġr en", + "_ from", + "_f rom", + "_fr om", + "n bsp", + "nb sp", + "Ġ operator", + "Ġo perator", + "Ġop erator", + "Ġoper ator", + "Ġopera tor", + "m en", + "me n", + "a pped", + "ap ped", + "app ed", + "appe d", + "_ per", + "_p er", + "_pe r", + "z en", + "ze n", + "( \".", + "(\" .", + ". save", + ".s ave", + ".sa ve", + ".sav e", + "=\" {{", + "=\"{ {", + "Ġ tor", + "Ġt or", + "Ġto r", + "( response", + "(res ponse", + "(resp onse", + "Ġc andid", + "Ġcan did", + "Ġcand id", + "Ġ conv", + "Ġcon v", + "Ġco nv", + "a iled", + "ail ed", + "ai led", + "Ġ Lib", + "ĠL ib", + "ĠLi b", + "c omp", + "com p", + "co mp", + "u ra", + "ur a", + "ï¿ ½", + "Ġ Here", + "ĠH ere", + "ĠHe re", + "ĠHer e", + "Ġ argument", + "Ġarg ument", + "h ood", + "ho od", + "hoo d", + "Ġ establish", + "Ġest ablish", + "ograph y", + "ogra phy", + "Ġ onClick", + "Ġon Click", + "amb da", + "Ġ sch", + "Ġs ch", + "Ġsc h", + "Ġ movie", + "Ġm ovie", + "Ġmov ie", + "Ġmo vie", + "Ġ sec", + "Ġs ec", + "Ġse c", + "Ġ activity", + "Ġact ivity", + "Ġactiv ity", + "Ø §", + "Ġ sql", + "Ġs ql", + "Ġsq l", + "_ all", + "_a ll", + "_al l", + "in cip", + "inc ip", + "inci p", + "Ġpro vides", + "Ġprovid es", + "Ġprov ides", + "Ġprovide s", + "Ġ sys", + "Ġs ys", + "Ġsy s", + "a cket", + "ack et", + "ac ket", + "Ġw asn", + "Ġwas n", + "Ġwa sn", + "Ġ uses", + "Ġu ses", + "Ġus es", + "Ġuse s", + "Ġ Function", + "ĠF unction", + "ĠFun ction", + "ĠFunc tion", + ". google", + ".g oogle", + ".go ogle", + "Ġ Result", + "ĠRes ult", + "8 4", + "V isible", + "Vis ible", + "ag ma", + "el come", + "Ġ Sy", + "ĠS y", + "Ġ Cent", + "ĠC ent", + "ĠCe nt", + "AL SE", + "ALS E", + "a ción", + "ac ión", + "aci ón", + "E XT", + "EX T", + "Ġ license", + "Ġl icense", + "Ġlic ense", + "Ġlicens e", + "Ġ Long", + "ĠL ong", + "ĠLo ng", + "ĠLon g", + "Ġ accom", + "Ġacc om", + "Ġac com", + "Ġ ability", + "Ġab ility", + ". height", + ".h eight", + ".he ight", + "Act ive", + "Activ e", + "o logical", + "olog ical", + "ologic al", + "ologi cal", + "o ly", + "ol y", + ") ),", + ")) ,", + ". Se", + ".S e", + "Ġ parameter", + "Ġparam eter", + "Ġpara meter", + "Ġparamet er", + "p rite", + "pr ite", + "prit e", + "pri te", + "AB ILITY", + ". service", + ".s ervice", + ".serv ice", + ".ser vice", + "Ġ Group", + "ĠG roup", + "ĠGr oup", + "ĠGro up", + "_ query", + "_qu ery", + "_que ry", + "Ġ Item", + "ĠI tem", + "ĠIt em", + "i ning", + "in ing", + "ini ng", + "inin g", + "Ġ jud", + "Ġj ud", + "Ġju d", + "i ms", + "im s", + "f ix", + "fi x", + "i nder", + "in der", + "ind er", + "inde r", + "a gram", + "ag ram", + "agra m", + "agr am", + "Ġ functions", + "Ġfunction s", + "Ġfun ctions", + "Ġfunct ions", + "Ġex peri", + "Ġexp eri", + "Ġexper i", + "Ġ Em", + "ĠE m", + "Ġ rot", + "Ġr ot", + "Ġro t", + "Ġ pen", + "Ġp en", + "Ġpe n", + ". btn", + ".b tn", + ".bt n", + "Ġ AS", + "ĠA S", + "# ifdef", + "#if def", + "Ġ choice", + "Ġch oice", + "Ġcho ice", + "Ġ Page", + "ĠP age", + "ĠPa ge", + "ĠPag e", + "_ PRO", + "_P RO", + "_PR O", + "Q U", + "å ı", + "a ntity", + "ant ity", + "anti ty", + " Ń", + "w ords", + "word s", + "wor ds", + "Ġ readonly", + "Ġread only", + "Ġ flex", + "Ġf lex", + "Ġfl ex", + "Ġfle x", + "prot ected", + "protect ed", + "Ġ Any", + "ĠA ny", + "ĠAn y", + "Ġ characters", + "Ġchar acters", + "Ġcharacter s", + "en ced", + "ence d", + "enc ed", + "Ġ July", + "ĠJ uly", + "ĠJul y", + "ĠJu ly", + "i ler", + "il er", + "ile r", + "C ard", + "Car d", + "Ca rd", + "u rance", + "ur ance", + "ura nce", + "uran ce", + "Ġ rev", + "Ġre v", + "Ġr ev", + ". event", + ".e vent", + ".ev ent", + "a ly", + "al y", + "1 30", + "13 0", + "Ġw onder", + "Ġwon der", + "Ġwo nder", + "Ġ Port", + "ĠP ort", + "ĠPo rt", + "ĠPor t", + "Ġ legal", + "Ġl egal", + "Ġle gal", + "Ġleg al", + "r ole", + "ro le", + "rol e", + "Ġ ten", + "Ġt en", + "Ġte n", + "Ġg oes", + "Ġgo es", + "M P", + "wh ite", + ") :čĊ", + "): čĊ", + ") )čĊ", + ")) čĊ", + "Ġ reference", + "Ġre ference", + "Ġref erence", + "Ġrefer ence", + "Ġrefere nce", + "Ġ mis", + "Ġm is", + "Ġmi s", + "Ġ Project", + "ĠPro ject", + "ĠProj ect", + "i cks", + "ic ks", + "ick s", + "> &", + "C ON", + "CO N", + "Ġre pl", + "Ġrep l", + "Ġ regular", + "Ġreg ular", + "Ġregul ar", + "St orage", + "r amework", + "rame work", + "ram ework", + "Ġ goal", + "Ġgo al", + "Ġ touch", + "Ġt ouch", + "Ġto uch", + "Ġtou ch", + ". widget", + ".w idget", + "Ġ built", + "Ġb uilt", + "Ġbu ilt", + "d es", + "de s", + "P art", + "Par t", + "Pa rt", + "( re", + "(r e", + "Ġ worth", + "Ġw orth", + "Ġwor th", + "h ib", + "hi b", + "g ame", + "ga me", + "gam e", + "9 1", + "1 92", + "19 2", + "Ġ в", + "ĠÐ ²", + "a cion", + "ac ion", + "aci on", + "acio n", + "Ġ White", + "ĠWh ite", + "ĠWhit e", + "( type", + "(t ype", + "(typ e", + "( `", + "8 1", + "Ġ natural", + "Ġn atural", + "Ġnatur al", + "Ġnat ural", + "Ġin j", + "Ġi nj", + "Ġ calcul", + "Ġcal cul", + "Ġcalc ul", + "Ġ April", + "ĠApr il", + "ĠAp ril", + ". List", + ".L ist", + "Ġ associated", + "Ġassoci ated", + "Ġassociate d", + "Ġassoc iated", + "ĉ System", + "ĉS ystem", + "~ ~", + "= [", + "Ġ storage", + "Ġst orage", + "Ġstor age", + "Ġsto rage", + "Ġ bytes", + "Ġby tes", + "Ġbyte s", + "Ġbyt es", + "Ġ travel", + "Ġt ravel", + "Ġtr avel", + "Ġtra vel", + "Ġtrav el", + "Ġ sou", + "Ġs ou", + "Ġso u", + "Ġ passed", + "Ġp assed", + "Ġpass ed", + "Ġpas sed", + "Ġpasse d", + "! =", + "a script", + "as cript", + ". open", + ".op en", + ".o pen", + "Ġ grid", + "Ġg rid", + "Ġgr id", + "Ġgri d", + "Ġ bus", + "Ġb us", + "Ġbu s", + "Ġ recogn", + "Ġrec ogn", + "Ġreco gn", + "A b", + "Ġ hon", + "Ġh on", + "Ġho n", + "Ġ Center", + "ĠC enter", + "ĠCent er", + "Ġ prec", + "Ġp rec", + "Ġpr ec", + "Ġpre c", + "b uild", + "bu ild", + "7 3", + "HT ML", + "Ġ San", + "ĠS an", + "ĠSa n", + "Ġ countries", + "Ġc ountries", + "Ġcount ries", + "Ġcoun tries", + "a led", + "al ed", + "ale d", + "t oken", + "to ken", + "tok en", + "k t", + "Ġ qual", + "Ġqu al", + "Ġq ual", + "Ġqua l", + "L ast", + "La st", + "Las t", + "ad ow", + "ado w", + "Ġ manufact", + "Ġman ufact", + "i dad", + "id ad", + "ida d", + "j ango", + "ja ngo", + "jan go", + "jang o", + "N ext", + "Ne xt", + "x f", + ". a", + "Ġ porno", + "Ġp orno", + "Ġporn o", + "Ġpor no", + "Ġ PM", + "ĠP M", + "e rve", + "er ve", + "erv e", + "i ting", + "it ing", + "iti ng", + "itin g", + "_ th", + "_t h", + "c i", + "= None", + "=N one", + "g s", + "Ġ login", + "Ġlo gin", + "Ġlog in", + "at ives", + "ative s", + "ati ves", + "ativ es", + "' ]);Ċ", + "'] );Ċ", + "']) ;Ċ", + "']); Ċ", + "Ä ħ", + "Ġ ill", + "Ġi ll", + "Ġil l", + "I A", + "ch ildren", + "child ren", + "D O", + "Ġ levels", + "Ġlevel s", + "Ġlev els", + "Ġleve ls", + "Ġ {{", + "Ġ{ {", + "Ġ looks", + "Ġl ooks", + "Ġlo oks", + "Ġlook s", + "Ġ \"#", + "Ġ\" #", + "To String", + "ToStr ing", + "Ġ necessary", + "Ġn ecessary", + "Ġnecess ary", + "Ġ ĠĠĊ", + "ĠĠ ĠĊ", + "ĠĠĠ Ċ", + "c ell", + "ce ll", + "cel l", + "En try", + "Ent ry", + "Entr y", + "Ġ '#", + "Ġ' #", + "Ġext rem", + "Ġextr em", + "Se lector", + "Select or", + "Sel ector", + "Sele ctor", + "Ġ placeholder", + "Ġplace holder", + "L oad", + "Lo ad", + "Ġ released", + "Ġre leased", + "Ġrelease d", + "Ġrele ased", + "O RE", + "OR E", + "E numer", + "En umer", + "Enum er", + "Ġ TV", + "ĠT V", + "S ET", + "SE T", + "in q", + "P ress", + "Pr ess", + "Pre ss", + "Pres s", + "Ġ Department", + "ĠDe partment", + "ĠDep artment", + "ĠDepart ment", + "Ġ properties", + "Ġp roperties", + "Ġprop erties", + "Ġproper ties", + "Ġ respond", + "Ġres pond", + "Ġresp ond", + "S earch", + "Se arch", + "Sea rch", + "a el", + "ae l", + "Ġ requ", + "Ġre qu", + "Ġr equ", + "Ġreq u", + "Ġ Book", + "ĠB ook", + "ĠBo ok", + "ĠBoo k", + "/ Ċ", + "( st", + "(s t", + "Ġ financial", + "Ġfin ancial", + "Ġfinanc ial", + "Ġfinan cial", + "i cket", + "ic ket", + "ick et", + "_ input", + "_in put", + "_inp ut", + "Ġ threat", + "Ġth reat", + "Ġthr eat", + "( in", + "(i n", + "S trip", + "St rip", + "Str ip", + "ì Ŀ", + "ç ão", + "7 1", + "Ġe vidence", + "Ġev idence", + "Ġevid ence", + ") );", + ")) ;", + "Ġ Bro", + "ĠB ro", + "ĠBr o", + "Ġ [];Ċ", + "Ġ[ ];Ċ", + "Ġ[] ;Ċ", + "Ġ[]; Ċ", + "Ġ ou", + "Ġo u", + "b uf", + "bu f", + "S cript", + "Scr ipt", + "d at", + "da t", + "Ġ rule", + "Ġr ule", + "Ġru le", + "# import", + "= \"/", + "=\" /", + "S erial", + "Se rial", + "Ser ial", + "Ġ starting", + "Ġstart ing", + "Ġstar ting", + "[ index", + "[in dex", + "[ind ex", + "a e", + "Ġ contrib", + "Ġcon trib", + "Ġcont rib", + "Ġcontr ib", + "s ession", + "sess ion", + "_ new", + "_n ew", + "_ne w", + "u table", + "ut able", + "uta ble", + "o ber", + "ob er", + "obe r", + "Ġ \"./", + "Ġ\" ./", + "Ġ\". /", + "Ġ logger", + "Ġlo gger", + "Ġlog ger", + "Ġrec ently", + "Ġrecent ly", + "Ġ returned", + "Ġre turned", + "Ġreturn ed", + "č čĊ", + ") ))Ċ", + ")) )Ċ", + "))) Ċ", + "it ions", + "ition s", + "iti ons", + "Ġ seek", + "Ġse ek", + "Ġsee k", + "Ġ communic", + "Ġcomm unic", + "Ġcommun ic", + "Ġ \".", + "Ġ\" .", + "Ġ username", + "Ġuser name", + "Ġusern ame", + "E CT", + "EC T", + "D S", + "Ġ otherwise", + "Ġother wise", + "Ġ German", + "ĠG erman", + "ĠGer man", + "ĠGerm an", + ". aw", + ".a w", + "Ad apter", + "Ada pter", + "ix el", + "ixe l", + "Ġ systems", + "Ġs ystems", + "Ġsystem s", + "Ġsys tems", + "Ġsyst ems", + "Ġ drop", + "Ġd rop", + "Ġdr op", + "Ġdro p", + "8 3", + "Ġ structure", + "Ġstruct ure", + "Ġ $(\"#", + "Ġ$ (\"#", + "Ġ$( \"#", + "Ġ$(\" #", + "en cies", + "enc ies", + "enci es", + "an ning", + "ann ing", + "anni ng", + "Ġ Link", + "ĠL ink", + "ĠLin k", + "ĠLi nk", + "Ġ Response", + "ĠRes ponse", + "ĠRespons e", + "ĠResp onse", + "Ġ stri", + "Ġs tri", + "Ġst ri", + "Ġstr i", + "Å ¼", + "Ġ DB", + "ĠD B", + "æ Ĺ", + "and roid", + "andro id", + "andr oid", + "sub mit", + "o tion", + "ot ion", + "oti on", + "9 2", + "( @", + ". test", + ".t est", + ".te st", + "8 2", + "Ċ ĊĊĊĊĊĊĊ", + "ĊĊ ĊĊĊĊĊĊ", + "ĊĊĊĊ ĊĊĊĊ", + "ĊĊĊ ĊĊĊĊĊ", + "ĊĊĊĊĊĊ ĊĊ", + "ĊĊĊĊĊ ĊĊĊ", + "ĊĊĊĊĊĊĊ Ċ", + "] ;čĊ", + "]; čĊ", + "Ġdirect ly", + "Ġ \"%", + "Ġ\" %", + "r is", + "ri s", + "el ta", + "elt a", + "A IL", + "AI L", + ") {čĊ", + "){ čĊ", + "m ine", + "min e", + "mi ne", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "( k", + "b on", + "bo n", + "a sic", + "as ic", + "asi c", + "p ite", + "pi te", + "pit e", + "_ __", + "__ _", + "M ax", + "Ma x", + "Ġ errors", + "Ġerror s", + "Ġerr ors", + "Ġer rors", + "Ġerro rs", + "Ġ While", + "ĠWh ile", + "Ġ arguments", + "Ġarg uments", + "Ġargument s", + "Ġ ensure", + "Ġen sure", + "Ġens ure", + "R ight", + "- based", + "-b ased", + "-base d", + "W eb", + "We b", + "Ġ -=", + "Ġ- =", + "Ġint rodu", + "Ġintr odu", + "Ġintro du", + "Ġ Inst", + "ĠI nst", + "ĠIn st", + "ĠIns t", + "ĠW ash", + "ĠWas h", + "ĠWa sh", + "or din", + "ord in", + "j oin", + "jo in", + "D atabase", + "Data base", + "Dat abase", + "Ġ grad", + "Ġg rad", + "Ġgr ad", + "Ġgra d", + "Ġ usually", + "Ġus ually", + "Ġusual ly", + "Ġusu ally", + "I TE", + "IT E", + "P rops", + "Pro ps", + "Prop s", + "Pr ops", + "? >Ċ", + "?> Ċ", + "Ġ Go", + "ĠG o", + "@ Override", + "R EF", + "RE F", + "Ġ ip", + "Ġi p", + "ĠA ustral", + "ĠAust ral", + "ĠAu stral", + "ĠAustr al", + "Ġ ist", + "Ġis t", + "Ġi st", + "View ById", + "Ġ serious", + "Ġse rious", + "Ġser ious", + "Ġseri ous", + "Ġ customer", + "Ġc ustomer", + "Ġcustom er", + "Ġcust omer", + ". prototype", + ".prot otype", + ".proto type", + "o do", + "od o", + "c or", + "co r", + "Ġ door", + "Ġd oor", + "Ġdo or", + "Ġ WITHOUT", + "ĠWITH OUT", + "Ġ plant", + "Ġp lant", + "Ġpl ant", + "Ġplan t", + "Ġpla nt", + "Ġb egan", + "Ġbe gan", + "Ġbeg an", + "Ġ distance", + "Ġd istance", + "Ġdist ance", + "Ġdi stance", + "( )).", + "() ).", + "()) .", + "Ġch ance", + "Ġcha nce", + "Ġchan ce", + "Ġ ord", + "Ġo rd", + "Ġor d", + "c ame", + "ca me", + "cam e", + "pr agma", + "Ġ protect", + "Ġprot ect", + "Ġprote ct", + "r agment", + "ra gment", + "rag ment", + "Ġ Node", + "ĠN ode", + "ĠNo de", + "e ning", + "en ing", + "eni ng", + "enin g", + "Ñ ĩ", + "Ġ route", + "Ġr oute", + "Ġro ute", + "Ġrout e", + "Ġrou te", + "Ġ School", + "ĠS chool", + "ĠSch ool", + "ĠScho ol", + "h i", + "Ġne ighb", + "Ġneigh b", + "A fter", + "Af ter", + "l icit", + "lic it", + "li cit", + "Ġ contr", + "Ġcon tr", + "Ġcont r", + "Ġ primary", + "Ġpr imary", + "Ġprim ary", + "Ġpri mary", + "Ġprima ry", + "A A", + ".Write Line", + "ut ils", + "util s", + "uti ls", + "Ġ bi", + "Ġb i", + "R ed", + "Re d", + ".L inq", + ". object", + ".o bject", + ".obj ect", + ".ob ject", + "Ġ leaders", + "Ġle aders", + "Ġlead ers", + "Ġleader s", + "un ities", + "unit ies", + "uni ties", + "Ġ gun", + "Ġg un", + "Ġgu n", + "o nth", + "on th", + "ont h", + "Ġ Dev", + "ĠD ev", + "ĠDe v", + "F ILE", + "FI LE", + "Ġ comments", + "Ġcom ments", + "Ġcomm ents", + "Ġcomment s", + "Ġcomme nts", + "_ len", + "_l en", + "_le n", + "ar row", + "arr ow", + "arro w", + "a mount", + "am ount", + "amo unt", + "R ange", + "Ra nge", + "s ert", + "se rt", + "ser t", + "Grid View", + "Ġ updated", + "Ġup dated", + "Ġupdate d", + "Ġupd ated", + "Ġ Mo", + "ĠM o", + "Ġ inform", + "Ġin form", + "Ġinfo rm", + "Ġinf orm", + "oci ety", + "a la", + "al a", + "A ccess", + "Ac cess", + "Acc ess", + "Ġ hab", + "Ġh ab", + "Ġha b", + "Ġ creat", + "Ġc reat", + "Ġcr eat", + "Ġcre at", + "Ġcrea t", + "_ arg", + "_a rg", + "_ar g", + "Ġ January", + "ĠJan uary", + "Ġ Day", + "ĠD ay", + "ĠDa y", + "\" )čĊ", + "\") čĊ", + "u ple", + "up le", + "d ocument", + "doc ument", + "gor ith", + "gorit h", + "m enu", + "me nu", + "men u", + "Ġ Over", + "ĠO ver", + "ĠOv er", + "b b", + ". title", + ".t itle", + "_ out", + "_o ut", + "Ġ led", + "Ġl ed", + "Ġle d", + "u ri", + "ur i", + "Ġ ?> < /", + "g l", + "Ġ bank", + "Ġb ank", + "Ġban k", + "Ġba nk", + "ay ment", + "ĉ printf", + "ĉprint f", + "M D", + "Ġ sample", + "Ġs ample", + "Ġsam ple", + "Ġsamp le", + "Ġ hands", + "Ġh ands", + "Ġhand s", + "Ġha nds", + "Ġhan ds", + "Ġ Version", + "ĠV ersion", + "ĠVers ion", + "u ario", + "ua rio", + "uar io", + "Ġ offers", + "Ġof fers", + "Ġoff ers", + "Ġoffer s", + "ity Engine", + "Ġ shape", + "Ġs hape", + "Ġsh ape", + "Ġsha pe", + "Ġ sleep", + "Ġs leep", + "Ġsle ep", + "Ġslee p", + "_ point", + "_p oint", + "_po int", + "S ettings", + "Set tings", + "Setting s", + "Ġ achie", + "Ġa chie", + "Ġach ie", + "Ġ sold", + "Ġs old", + "Ġso ld", + "Ġsol d", + "o ta", + "ot a", + ". bind", + ".b ind", + ".bin d", + ".bi nd", + "A m", + "Ġ safe", + "Ġs afe", + "Ġsa fe", + "Ġsaf e", + "St ore", + "Ġ shared", + "Ġsh ared", + "Ġshare d", + "Ġsha red", + "Ġshar ed", + "Ġ priv", + "Ġp riv", + "Ġpr iv", + "Ġpri v", + "_ VAL", + "_V AL", + "Ġs ens", + "Ġse ns", + "Ġsen s", + ") {", + "Ġ remember", + "Ġre member", + "Ġrem ember", + "sh ared", + "sha red", + "share d", + "e lement", + "el ement", + "ele ment", + "elem ent", + "Ġ shoot", + "Ġs hoot", + "Ġsh oot", + "Ġsho ot", + "V ert", + "Ver t", + "Ve rt", + "c out", + "co ut", + "cou t", + "Ġ env", + "Ġe nv", + "Ġen v", + "_ label", + "_l abel", + "_lab el", + "_la bel", + "Ġ >Ċ", + "Ġ> Ċ", + "r un", + "ru n", + "Ġ scene", + "Ġs cene", + "Ġsc ene", + "Ġscen e", + "Ġsce ne", + "( array", + "(a rray", + "(arr ay", + "(ar ray", + "d evice", + "de vice", + "dev ice", + "_ title", + "_t itle", + "_ti tle", + "a gon", + "ag on", + "ago n", + "] čĊ", + "a by", + "ab y", + "Ġbe came", + "Ġbec ame", + "bo olean", + "bool ean", + "boo lean", + "Ġ park", + "Ġp ark", + "Ġpar k", + "Ġpa rk", + "Ġ Code", + "ĠC ode", + "ĠCo de", + "ĠCod e", + "up load", + "r iday", + "ri day", + "rid ay", + "Ġ September", + "ĠSept ember", + "ĠSep tember", + "F e", + "Ġ sen", + "Ġs en", + "Ġse n", + "c ing", + "ci ng", + "cin g", + "F L", + "C ol", + "Co l", + "u ts", + "ut s", + "_ page", + "_p age", + "_pag e", + "_pa ge", + "i nn", + "in n", + "Ġim plied", + "Ġimp lied", + "Ġimpl ied", + "a ling", + "al ing", + "ali ng", + "alin g", + "Ġyour self", + "Ġyours elf", + ". Count", + ".C ount", + ".Co unt", + "con f", + "co nf", + "Ġ aud", + "Ġa ud", + "Ġau d", + "_ init", + "_in it", + "_i nit", + "_ini t", + ". )", + "Ġw rote", + "Ġwr ote", + "0 03", + "00 3", + "N G", + ". Error", + ".E rror", + ".Err or", + "ä »", + ". for", + ".f or", + "Ġ equal", + "Ġe qual", + "Ġequ al", + "Ġeq ual", + "Ġ Request", + "ĠRe quest", + "ĠReq uest", + "Ġ serial", + "Ġs erial", + "Ġse rial", + "Ġser ial", + "Ġseria l", + "Ġseri al", + "Ġ allows", + "Ġall ows", + "Ġallow s", + "Ġallo ws", + "X X", + "Ġ middle", + "Ġm iddle", + "Ġmid dle", + "Ġmidd le", + "c hor", + "ch or", + "cho r", + "1 95", + "19 5", + "9 4", + "à ¸", + "er val", + "erv al", + "erva l", + ". Column", + ".C olumn", + ".Col umn", + "re ading", + "read ing", + "rea ding", + "Ġ escort", + "Ġesc ort", + "Ġ August", + "ĠAug ust", + "Ġquick ly", + "Ġwe ap", + "Ġ CG", + "ĠC G", + "ro pri", + "rop ri", + "h o", + "Ġ cop", + "Ġc op", + "Ġco p", + "( struct", + "(str uct", + "Ġ Big", + "ĠB ig", + "ĠBi g", + "Ġ vs", + "Ġv s", + "Ġf requ", + "Ġfr equ", + "Ġfre qu", + "Ġfreq u", + ". Value", + ".V alue", + ".Val ue", + "Ġ actions", + "Ġa ctions", + "Ġact ions", + "Ġaction s", + "Ġ proper", + "Ġpro per", + "Ġpr oper", + "Ġprop er", + "Ġ inn", + "Ġin n", + "Ġi nn", + "Ġ objects", + "Ġobject s", + "Ġobj ects", + "Ġ matrix", + "Ġm atrix", + "Ġmat rix", + "av ascript", + "ava script", + "Ġ ones", + "Ġo nes", + "Ġon es", + "Ġone s", + ". group", + ".g roup", + ".gr oup", + "Ġ green", + "Ġg reen", + "Ġgr een", + "Ġgre en", + "Ġ paint", + "Ġp aint", + "Ġpain t", + "Ġpa int", + "Ġpai nt", + "o ols", + "ool s", + "oo ls", + "y cl", + "yc l", + "en code", + "enc ode", + "enco de", + "o lt", + "ol t", + "com ment", + "comm ent", + ". api", + ".ap i", + ".a pi", + "D ir", + "Di r", + "Ġ une", + "Ġu ne", + "Ġun e", + "iz ont", + "izon t", + "izo nt", + ". position", + ".p osition", + ".pos ition", + "Ġde signed", + "Ġdes igned", + "Ġdesign ed", + "_ val", + "_v al", + "_va l", + "a vi", + "av i", + "i ring", + "ir ing", + "iri ng", + "t ab", + "ta b", + "Ġ layer", + "Ġl ayer", + "Ġla yer", + "Ġlay er", + "Ġ views", + "Ġview s", + "Ġvi ews", + "Ġvie ws", + "Ġ reve", + "Ġre ve", + "Ġr eve", + "Ġrev e", + "r ael", + "ra el", + "Ġ ON", + "ĠO N", + "r ics", + "ri cs", + "ric s", + "1 60", + "16 0", + "n p", + "Ġ core", + "Ġc ore", + "Ġco re", + "Ġcor e", + "( ));čĊ", + "() );čĊ", + "()) ;čĊ", + "()); čĊ", + "M ain", + "Ma in", + "Ġ expert", + "Ġex pert", + "Ġexp ert", + "Ġexper t", + "ĉ ĉčĊ", + "ĉĉ čĊ", + "_ en", + "_e n", + "Ġ />", + "Ġ/ >", + "ut ter", + "utt er", + "I AL", + "IA L", + "a ils", + "ail s", + "ai ls", + "Ġ King", + "ĠK ing", + "ĠKi ng", + "ĠKin g", + "* /ĊĊ", + "*/ ĊĊ", + "*/Ċ Ċ", + "Ġ Met", + "ĠM et", + "ĠMe t", + "_ end", + "_e nd", + "_en d", + "ad dr", + "add r", + "o ra", + "or a", + "Ġ ir", + "Ġi r", + "M in", + "Mi n", + "Ġsur pr", + "Ġre pe", + "Ġrep e", + "Ġ directory", + "Ġd irectory", + "Ġdirect ory", + "Ġdirector y", + "P UT", + "PU T", + "- S", + "Ġ election", + "Ġe lection", + "Ġel ection", + "Ġelect ion", + "Ġele ction", + "h aps", + "ha ps", + "hap s", + ". pre", + ".p re", + ".pr e", + "c m", + "Value s", + "Val ues", + "Ġ \"Ċ", + "Ġ\" Ċ", + "c olumn", + "col umn", + "i vil", + "iv il", + "ivi l", + "Log in", + "Lo gin", + "in ue", + "inu e", + "9 3", + "Ġ beautiful", + "Ġbe autiful", + "Ġbeaut iful", + "Ġ secret", + "Ġs ecret", + "Ġse cret", + "Ġsec ret", + "Ġsecre t", + "( event", + "(e vent", + "(ev ent", + "Ġ chat", + "Ġc hat", + "Ġch at", + "Ġcha t", + "u ms", + "um s", + "Ġ origin", + "Ġor igin", + "Ġorig in", + "Ġori gin", + "Ġ effects", + "Ġe ffects", + "Ġeffect s", + "Ġeff ects", + "Ġ management", + "Ġman agement", + "Ġmanage ment", + "Ġmana gement", + "i lla", + "il la", + "ill a", + "t k", + "Ġ setting", + "Ġs etting", + "Ġset ting", + "Ġsett ing", + "Ġ Cour", + "ĠC our", + "ĠCo ur", + "ĠCou r", + "Ġ massage", + "Ġm assage", + "Ġmass age", + "Ġmas sage", + "Ġmassa ge", + "ĉ end", + "ĉe nd", + "ĉen d", + "Ġ happy", + "Ġh appy", + "Ġhapp y", + "Ġha ppy", + "Ġhap py", + "Ġ finish", + "Ġf inish", + "Ġfin ish", + "Ġfi nish", + "Ġ camera", + "Ġc amera", + "Ġcame ra", + "Ġcam era", + "Ġcamer a", + "Ġ Ver", + "ĠV er", + "ĠVe r", + "ĠDem ocr", + "ĠDemo cr", + "Ġ Her", + "ĠH er", + "ĠHe r", + "( Q", + "c ons", + "con s", + "co ns", + "i ta", + "it a", + "Ġ '.", + "Ġ' .", + "{ }", + "ĉ C", + "Ġ stuff", + "Ġst uff", + "Ġstu ff", + "1 94", + "19 4", + "Ġ :Ċ", + "Ġ: Ċ", + "Ġ AR", + "ĠA R", + "T ask", + "Ta sk", + "h idden", + "hi dden", + "hid den", + "e ros", + "er os", + "ero s", + "I GN", + "IG N", + "at io", + "ati o", + "Ġ Health", + "ĠHe alth", + "ĠHeal th", + "ol ute", + "olut e", + "olu te", + "En ter", + "Ent er", + "' >", + "Ġ Twitter", + "ĠT witter", + "ĠTw itter", + "Ġ County", + "ĠC ounty", + "ĠCount y", + "ĠCou nty", + "ĠCoun ty", + "s cribe", + "scri be", + "scr ibe", + "Ġ= >Ċ", + "Ġ=> Ċ", + "Ġ hy", + "Ġh y", + "f it", + "fi t", + "Ġm ilitary", + "Ġmilit ary", + "Ġmil itary", + "Ġmilitar y", + "Ġ sale", + "Ġs ale", + "Ġsa le", + "Ġsal e", + "re quired", + "require d", + "requ ired", + "n on", + "no n", + "boot strap", + "h old", + "ho ld", + "hol d", + "r im", + "ri m", + "- old", + "-o ld", + "Ġ Down", + "ĠD own", + "ĠDo wn", + "ĠDow n", + "Ġ mention", + "Ġm ention", + "Ġmen tion", + "Ġment ion", + "cont act", + "_ group", + "_g roup", + "_gr oup", + "o day", + "od ay", + "oda y", + "Ġ town", + "Ġt own", + "Ġto wn", + "Ġtow n", + "Ġ solution", + "Ġs olution", + "Ġsol ution", + "u ate", + "ua te", + "uat e", + "el ling", + "ell ing", + "elli ng", + "] ->", + "]- >", + "o tes", + "ot es", + "ote s", + "en tal", + "ent al", + "enta l", + "o men", + "om en", + "ome n", + "osp ital", + "Ġ Sup", + "ĠS up", + "ĠSu p", + "_ EN", + "_E N", + "Ġ slow", + "Ġs low", + "Ġsl ow", + "Ġslo w", + "SE SSION", + "SES SION", + "Ġ blue", + "Ġb lue", + "Ġbl ue", + "a go", + "ag o", + "Ġl ives", + "Ġli ves", + "Ġlive s", + "Ġliv es", + "Ġ ^", + ". un", + ".u n", + "i nst", + "in st", + "ins t", + "e nge", + "en ge", + "eng e", + "Ġ customers", + "Ġcustom ers", + "Ġcustomer s", + "Ġcust omers", + "Ġ cast", + "Ġc ast", + "Ġca st", + "Ġcas t", + "ud get", + "udge t", + "ï¼ ģ", + "ic ens", + "ice ns", + "Ġd etermin", + "Ġde termin", + "Ġdeter min", + "Ġdeterm in", + "Se lected", + "Select ed", + "Sel ected", + "_ pl", + "_p l", + "ue ue", + "Ġ dark", + "Ġd ark", + "Ġda rk", + "Ġdar k", + "/ /ĊĊ", + "// ĊĊ", + "//Ċ Ċ", + "s i", + "th ern", + "ther n", + "the rn", + "Ġ Japan", + "ĠJ apan", + "ĠJa pan", + "ĠJap an", + "/ w", + "P U", + "Ġ East", + "ĠE ast", + "ĠEa st", + "o vie", + "ov ie", + "ovi e", + "Ġ package", + "Ġp ackage", + "Ġpack age", + "Ġ nor", + "Ġn or", + "Ġno r", + "Ġ api", + "Ġa pi", + "Ġap i", + "b ot", + "bo t", + "\" ];Ċ", + "\"] ;Ċ", + "\"]; Ċ", + "_ post", + "_p ost", + "_pos t", + "_po st", + "u late", + "ul ate", + "ula te", + "Ġ club", + "Ġc lub", + "Ġcl ub", + "' ));Ċ", + "') );Ċ", + "')) ;Ċ", + "')); Ċ", + "Ġ loop", + "Ġl oop", + "Ġlo op", + "P IO", + "PI O", + "i one", + "ion e", + "io ne", + "s hot", + "sh ot", + "In itial", + "Init ial", + "Ġ played", + "Ġpl ayed", + "Ġplay ed", + "reg ister", + "regist er", + "r ought", + "ro ught", + "rou ght", + "rough t", + "_ max", + "_m ax", + "_ma x", + "ace ment", + "ac ement", + "m atch", + "mat ch", + "raph ics", + "raphic s", + "A ST", + "AS T", + "Ġ existing", + "Ġex isting", + "Ġexist ing", + "Ġ complex", + "Ġcom plex", + "Ġcomp lex", + "Ġcomple x", + "Ġcompl ex", + "D A", + ". Ch", + ".C h", + ". common", + ".com mon", + ".comm on", + "m o", + "Ġ' ../../", + "Ġ'../ ../", + "Ġ'.. /../", + "i to", + "it o", + "Ġ analysis", + "Ġan alysis", + "Ġanal ysis", + "Ġanaly sis", + "Ġanalys is", + "Ġ deliver", + "Ġdel iver", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "i dx", + "id x", + "à ł", + "o ngo", + "on go", + "ong o", + "Ġ English", + "ĠEng lish", + "ĠEngl ish", + "< !--", + " \";Ċ", + ">\" ;Ċ", + ">\"; Ċ", + "_ UN", + "_U N", + "ĉ std", + "ĉs td", + "ĉst d", + "o ded", + "od ed", + "ode d", + "Ġ calls", + "Ġc alls", + "Ġcall s", + "Ġcal ls", + "h ere", + "he re", + "her e", + "R el", + "Re l", + "Ġ brand", + "Ġb rand", + "Ġbr and", + "Ġbra nd", + "Ġbran d", + "back ground", + "g a", + "_ address", + "_add ress", + "_addr ess", + "_ad dress", + "_ params", + "_param s", + "_par ams", + "_para ms", + "_pa rams", + "C ategory", + "1 03", + "10 3", + "Ġ India", + "ĠIn dia", + "ĠInd ia", + "ĠIndi a", + "_ event", + "_e vent", + "_ev ent", + "_even t", + "Ġ ing", + "Ġin g", + "Ġi ng", + "R ender", + "Re nder", + "Ren der", + ". cl", + ".c l", + "um py", + "ump y", + "Ġ pet", + "Ġp et", + "Ġpe t", + "F C", + "Ġ Ant", + "ĠA nt", + "ĠAn t", + "E xt", + "Ex t", + "Ġ charge", + "Ġch arge", + "Ġchar ge", + "Ġcharg e", + "e ned", + "en ed", + "ene d", + "g rad", + "gr ad", + "gra d", + "E O", + "Ġ depend", + "Ġd epend", + "Ġde pend", + "Ġdep end", + "Ġ .ĊĊ", + "Ġ. ĊĊ", + "Ġ.Ċ Ċ", + "f rame", + "fr ame", + "fra me", + "fram e", + "Ġ df", + "Ġd f", + "Ġ huge", + "Ġh uge", + "Ġhug e", + "Ġhu ge", + "Ġ PART", + "ĠP ART", + "ĠPA RT", + "ĠPAR T", + "e ds", + "ed s", + "; ;", + "Ġ AM", + "ĠA M", + "Ġ basic", + "Ġb asic", + "Ġbas ic", + "Ġba sic", + "Ġ Let", + "ĠL et", + "ĠLe t", + "l ich", + "lic h", + "li ch", + "Ġ arm", + "Ġa rm", + "Ġar m", + "Ġ star", + "Ġs tar", + "Ġst ar", + "Ġsta r", + "Ġf ederal", + "Ġfed eral", + "Ġfeder al", + "W ork", + "Wo rk", + "Ġ carry", + "Ġc arry", + "Ġcar ry", + "Ġcarr y", + "Ġ Israel", + "ĠIs rael", + "( obj", + "(o bj", + "(ob j", + "= {{", + "={ {", + "Ġ saved", + "Ġs aved", + "Ġsa ved", + "Ġsave d", + "Ġsav ed", + "Ġ syn", + "Ġs yn", + "Ġsy n", + "Ġ constant", + "Ġcon stant", + "Ġconst ant", + "Ġcons tant", + "V ENT", + "VE NT", + "VEN T", + "Ġ positive", + "Ġpos itive", + "Ġposit ive", + "Ġ conduct", + "Ġcon duct", + "Ġcond uct", + "Ġconduc t", + "Ġcondu ct", + "Ġ skin", + "Ġs kin", + "Ġsk in", + "Ġski n", + "Ġear lier", + "Ġ layout", + "Ġl ayout", + "Ġlay out", + "Ġ IP", + "ĠI P", + "O UR", + "OU R", + "Ġ tim", + "Ġt im", + "Ġti m", + "style sheet", + "styles heet", + "_ cl", + "_c l", + "Ġ Card", + "ĠC ard", + "ĠCar d", + "ĠCa rd", + "++ ){Ċ", + "++) {Ċ", + "++){ Ċ", + "Ġtem per", + "Ġtemp er", + "Ġ David", + "ĠD avid", + "ĠDav id", + "ĠDa vid", + "ĉ try", + "ĉt ry", + "ĉtr y", + ". dart", + ".d art", + ".da rt", + "Ġw ants", + "Ġwant s", + "Ġwa nts", + "Ġwan ts", + "Ġ picture", + "Ġp icture", + "Ġpic ture", + "Ġpict ure", + "Ġ videos", + "Ġv ideos", + "Ġvideo s", + "Ġvid eos", + "Ġvide os", + "Ġ Comm", + "ĠC omm", + "ĠCom m", + "ĠCo mm", + "is ions", + "ision s", + "isi ons", + "_ MAX", + "_M AX", + "_MA X", + "M apping", + "Map ping", + "Ma pping", + "- content", + "-c ontent", + "-con tent", + "-cont ent", + "Ġ Ear", + "ĠE ar", + "ĠEa r", + "- de", + "-d e", + "Ġp rem", + "Ġpr em", + "Ġpre m", + "b ruary", + "br uary", + "bru ary", + "bruar y", + "Ġ components", + "Ġcom ponents", + "Ġcomp onents", + "Ġcomponent s", + "Ġthrough out", + "Ġ pull", + "Ġp ull", + "Ġpul l", + "Ġpu ll", + "Ġ pages", + "Ġp ages", + "Ġpage s", + "Ġpa ges", + "Ġpag es", + "e nte", + "en te", + "ent e", + "res pond", + "resp ond", + "Ġ gas", + "Ġg as", + "Ġga s", + "cript or", + "Ġ edge", + "Ġe dge", + "Ġed ge", + "Ġ bound", + "Ġb ound", + "Ġbo und", + "Ġbou nd", + "A CT", + "AC T", + "* *****", + "** ****", + "**** **", + "*** ***", + "***** *", + "Ġ creating", + "Ġc reating", + "Ġcr eating", + "Ġcre ating", + "Ġcreat ing", + "Ġcrea ting", + "Ġ CH", + "ĠC H", + "Ġ nullptr", + "Ġnull ptr", + "B r", + "+ '", + ". co", + ".c o", + "> ::", + ">: :", + "Ġ learning", + "Ġl earning", + "Ġle arning", + "Ġlearn ing", + "Ġlear ning", + ". Length", + ".L ength", + ".Le ngth", + ".Len gth", + "_ SH", + "_S H", + "Ġ patients", + "Ġpat ients", + "Ġpatient s", + "A IN", + "AI N", + "Ġ kids", + "Ġk ids", + "Ġkid s", + "Ġki ds", + "Ġ comfort", + "Ġcom fort", + "Ġ shown", + "Ġsh own", + "Ġshow n", + "Ġsho wn", + "ug ins", + "ugin s", + "ugi ns", + "Ġ Back", + "ĠB ack", + "ĠBa ck", + "ĠBac k", + "e lla", + "el la", + "ell a", + "_ CL", + "_C L", + "Ġ lat", + "Ġl at", + "Ġla t", + "Ġ dispatch", + "Ġdis patch", + "Ġdisp atch", + "Ġ classes", + "Ġc lasses", + "Ġclass es", + "Ġcl asses", + "Ġclasse s", + "Ġclas ses", + ". at", + ".a t", + ". begin", + ".b egin", + ".be gin", + "Ġ successful", + "Ġsuccess ful", + "b an", + "ba n", + "Ġob tain", + "Ġobt ain", + "Ġ Sl", + "ĠS l", + "Ġ lack", + "Ġl ack", + "Ġla ck", + "Ġlac k", + "it erator", + "iter ator", + "T hread", + "Th read", + "Thr ead", + "( size", + "(s ize", + "(si ze", + "Ġ none", + "Ġn one", + "Ġno ne", + "Ġnon e", + ". has", + ".h as", + "_ X", + "s ort", + "so rt", + "n ap", + "na p", + "p et", + "pe t", + "b in", + "bi n", + "7 00", + "70 0", + "Ġ Canada", + "ĠCan ada", + "T hey", + "The y", + "Th ey", + "Ġd ans", + "Ġda ns", + "Ġdan s", + "Ġ Mat", + "ĠM at", + "ĠMa t", + "< td", + "'", + "'=> '", + "'= >'", + "Ġ Paul", + "ĠP aul", + "ĠPa ul", + "m as", + "ma s", + "ĉ print", + "ĉp rint", + "ĉpr int", + "( len", + "(l en", + "(le n", + "f d", + "Ġ );", + "Ġ) ;", + ". Event", + ".E vent", + "q li", + "ql i", + "i rit", + "ir it", + "iri t", + "ie lds", + "ield s", + "iel ds", + "o man", + "om an", + "oma n", + "Ġ Top", + "ĠT op", + "ĠTo p", + "Ġ vote", + "Ġv ote", + "Ġvo te", + "Ġvot e", + "Ġ mask", + "Ġm ask", + "Ġma sk", + "Ġmas k", + "Ġ theme", + "Ġth eme", + "Ġthe me", + "Ġthem e", + "- Ċ", + "Ġ props", + "Ġp rops", + "Ġpro ps", + "Ġpr ops", + "Ġprop s", + "Ġ fine", + "Ġf ine", + "Ġfin e", + "Ġfi ne", + "Ġ writer", + "Ġw riter", + "Ġwrit er", + "Ġwr iter", + "Ġwrite r", + "_ offset", + "_off set", + "_o ffset", + "c ar", + "ca r", + "Ġ altern", + "Ġal tern", + "Ġalt ern", + "Ġalter n", + "Ġalte rn", + "Ġ copyright", + "Ġc opyright", + "Ġcopy right", + "Ġ destroy", + "Ġd estroy", + "Ġde stroy", + "Ġdest roy", + "p per", + "pp er", + "ppe r", + "Ġ generate", + "Ġg enerate", + "Ġgener ate", + "Ġgen erate", + "Ġgene rate", + "Ġgenera te", + "p ped", + "pp ed", + "ppe d", + "âĢĻ d", + "Ġ ĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĊ", + "ĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠ Ċ", + "m ake", + "ma ke", + "mak e", + "Ġ Show", + "ĠS how", + "ĠSh ow", + "ĠSho w", + "Ġ browser", + "Ġb rowser", + "Ġbrows er", + "Ġbrowse r", + "Ġbrow ser", + "Ġ favorite", + "Ġf avorite", + "Ġfavor ite", + "Ġ career", + "Ġcar eer", + "Ġcare er", + "Ġhapp ened", + "Ġhappen ed", + "( char", + "(c har", + "(ch ar", + "Ġ recommend", + "Ġre commend", + "Ġrecomm end", + "Ġ liter", + "Ġl iter", + "Ġli ter", + "Ġlit er", + "Ġlite r", + ". filter", + ".f ilter", + ".fil ter", + "g rade", + "gr ade", + "grad e", + "gra de", + "Ġ £", + "Ġ £", + "P hone", + "Ph one", + "o ms", + "om s", + "Ġ named", + "Ġn amed", + "Ġname d", + "Ġna med", + "Ġnam ed", + "- label", + "-l abel", + "-la bel", + "i po", + "ip o", + "Ġ Other", + "ĠO ther", + "ĠOt her", + "Ġ panel", + "Ġp anel", + "Ġpa nel", + "Ġpan el", + "Ġpane l", + "Ġ rock", + "Ġr ock", + "Ġro ck", + "Ġroc k", + "S cale", + "Sc ale", + "ĉ assert", + "ĉas sert", + "Ð ´", + "Ġ trust", + "Ġt rust", + "Ġtr ust", + "f ront", + "fr ont", + "Ġd emon", + "Ġde mon", + "Ġdem on", + "Ġdemo n", + "A r", + "N et", + "Ne t", + "Ġ economic", + "Ġe conomic", + "Ġecon omic", + "Ġeconom ic", + "Ġec onomic", + "f ooter", + "fo oter", + "foot er", + "foo ter", + "Ġ race", + "Ġr ace", + "Ġrac e", + "Ġra ce", + "( node", + "(n ode", + "(no de", + "Ġ Option", + "ĠO ption", + "ĠOp tion", + "ĠOpt ion", + "s plit", + "sp lit", + "spl it", + "Ġ physical", + "Ġph ysical", + "Ġphys ical", + "Ġphysic al", + "i fest", + "if est", + "ife st", + "ifes t", + "Ġ removed", + "Ġre moved", + "Ġrem oved", + "Ġremove d", + ". http", + ".h ttp", + ".ht tp", + ") ),Ċ", + ")) ,Ċ", + ")), Ċ", + "Ġlo oked", + "Ġlook ed", + "' ;", + "d ing", + "di ng", + "din g", + "g est", + "ge st", + "ges t", + "atur day", + "/ licenses", + "/lic enses", + "/license s", + "P rice", + "Pr ice", + "Pri ce", + "Ġ dro", + "Ġd ro", + "Ġdr o", + "Ġt owards", + "Ġto wards", + "Ġtoward s", + "Ġtow ards", + "Ġ uns", + "Ġu ns", + "Ġun s", + "Ġ CL", + "ĠC L", + "ĉ static", + "ĉst atic", + "ĉstat ic", + "Ġ rows", + "Ġr ows", + "Ġro ws", + "Ġrow s", + "Ġ define", + "Ġde fine", + "Ġdef ine", + "Ġdefin e", + ". replace", + ".re place", + ".rep lace", + "Ġ father", + "Ġf ather", + "Ġfa ther", + "Ġfat her", + "Ġ Design", + "ĠD esign", + "ĠDe sign", + "ĠDes ign", + "as sign", + "ass ign", + "assi gn", + "m ut", + "mu t", + "D evice", + "De vice", + "Dev ice", + "D id", + "Di d", + "' ))Ċ", + "') )Ċ", + "')) Ċ", + "o metry", + "om etry", + "ome try", + "omet ry", + "ometr y", + "ay load", + "Ġ histor", + "Ġh istor", + "Ġhis tor", + "Ġhist or", + "Ġhi stor", + "Ġhisto r", + "Ġ Param", + "ĠP aram", + "ĠPar am", + "ĠPa ram", + "ĠPara m", + "Ġ Boolean", + "ĠBo olean", + "ĠBool ean", + "ĠBoo lean", + "Ġ nature", + "Ġn ature", + "Ġna ture", + "Ġnatur e", + "Ġnat ure", + "Ġ js", + "Ġj s", + "Ġ nation", + "Ġn ation", + "Ġna tion", + "Ġnat ion", + "i h", + "Ġ discover", + "Ġdis cover", + "Ġdisc over", + "Ġdisco ver", + "s em", + "se m", + "H andle", + "Hand le", + "Han dle", + "ĉ r", + "Ġ Techn", + "ĠT echn", + "ĠTe chn", + "ĠTech n", + "ĠTec hn", + "Ġ wall", + "Ġw all", + "Ġwa ll", + "Ġwal l", + "{ $", + "@ property", + "Ġ\" ../", + "Ġ\". ./", + "Ġ\".. /", + "Ġ exam", + "Ġex am", + ". draw", + ".d raw", + ".dr aw", + "o pping", + "op ping", + "opp ing", + "Ġn early", + "Ġnear ly", + "Ġ cool", + "Ġc ool", + "Ġco ol", + "Ġin depend", + "Ġind epend", + "Ġinde pend", + "R ES", + "RE S", + "Ġ handler", + "Ġh andler", + "Ġhand ler", + "Ġhandle r", + "Ġ Monday", + "ĠMon day", + "ĠMond ay", + "Ġ sun", + "Ġs un", + "Ġsu n", + "St yles", + "Style s", + "ous ly", + "Ġ ĉ", + "v est", + "ve st", + "ves t", + "D isplay", + "Dis play", + "Disp lay", + "( y", + "at ically", + "atic ally", + "atical ly", + "Ġ predict", + "Ġp redict", + "Ġpre dict", + "Ġpred ict", + "Ġpredic t", + "y ing", + "yi ng", + "Ġ sometimes", + "Ġs ometimes", + "Ġsome times", + "Ġsom etimes", + "Ġsometime s", + "\" ]Ċ", + "\"] Ċ", + "Ġ drink", + "Ġd rink", + "Ġdr ink", + "Ġdri nk", + "Ġ bul", + "Ġb ul", + "Ġbu l", + "if ications", + "ific ations", + "ification s", + ". insert", + ".in sert", + ".ins ert", + ". reg", + ".re g", + ".r eg", + "Ġ tests", + "Ġt ests", + "Ġte sts", + "Ġtest s", + "Ġtes ts", + "Al ignment", + "Align ment", + "Ġal leg", + "Ġall eg", + "Ġalle g", + "Ġ attribute", + "Ġat tribute", + "Ġattrib ute", + "Ġ Note", + "ĠN ote", + "ĠNo te", + "ĠNot e", + "Ġmy self", + "Ġmys elf", + "a rts", + "ar ts", + "art s", + "N ow", + "No w", + "Ġ interesting", + "Ġinter esting", + "Ġinterest ing", + "Ġinteres ting", + "l ients", + "li ents", + "lient s", + "lie nts", + "lien ts", + "Ġ population", + "Ġpop ulation", + "Ġpopul ation", + "Ġ California", + "ĠCal ifornia", + "ĠCaliforn ia", + "\" I", + "å ¹", + "Ġ greater", + "Ġg reater", + "Ġgreat er", + "Ġgre ater", + "ues day", + "Ġth ous", + "Ġthou s", + "Ġtho us", + "Ġco sts", + "Ġcost s", + "Ġcos ts", + "Ġ launch", + "Ġl aunch", + "Ġla unch", + "\\ Http", + "k er", + "ke r", + "b and", + "ba nd", + "ban d", + "Ġ Play", + "ĠP lay", + "ĠPl ay", + "ĠPla y", + "Ġ band", + "Ġb and", + "Ġban d", + "Ġba nd", + ". shape", + ".s hape", + ".sh ape", + ".sha pe", + "e some", + "es ome", + "eso me", + "art icle", + "arti cle", + "artic le", + ". rf", + ".r f", + "Ġ wer", + "Ġw er", + "Ġwe r", + "á s", + "em bers", + "ember s", + "emb ers", + "u sr", + "us r", + "B A", + "i can", + "ic an", + "ica n", + "e tt", + "et t", + "valid ate", + "ul ti", + "ult i", + "Ġim mediately", + "Ġimmedi ately", + "Ġimmediate ly", + "z er", + "ze r", + "Ġ figure", + "Ġf igure", + "Ġfig ure", + "Ġfigur e", + "o es", + "oe s", + "e ller", + "el ler", + "ell er", + "elle r", + "ir cle", + "irc le", + "Ġ Sign", + "ĠS ign", + "ĠSi gn", + "ĠSig n", + ". db", + ".d b", + "Ġ rank", + "Ġr ank", + "Ġran k", + "Ġra nk", + "By tes", + "Byte s", + "Ġ projects", + "Ġproject s", + "Ġproj ects", + "Ġproje cts", + "_ rec", + "_re c", + "_r ec", + "U LAR", + "UL AR", + "ULA R", + "A PI", + "AP I", + "Ġ Line", + "ĠL ine", + "ĠLin e", + "ĠLi ne", + "P ort", + "Por t", + "Po rt", + "Ġ poll", + "Ġp oll", + "Ġpol l", + "Ġpo ll", + "Ġg iving", + "Ġgi ving", + "id ence", + "ide nce", + "iden ce", + "- -Ċ", + "-- Ċ", + "Ġ plot", + "Ġp lot", + "Ġpl ot", + "Ġplo t", + "i cial", + "ic ial", + "ici al", + "icia l", + "Ġw arrant", + "Ġwar rant", + "I TION", + "IT ION", + "Ġ Double", + "ĠD ouble", + "ĠDo uble", + "ĠDou ble", + "ĠDoub le", + "Ġb illion", + "Ġbill ion", + "Ġbil lion", + "gorith m", + "gorit hm", + "Ġ equipment", + "Ġe quipment", + "Ġequ ipment", + "Ġequip ment", + "D ATE", + "DA TE", + "DAT E", + "Ġ @\"", + "Ġ@ \"", + "E E", + "Ġ ple", + "Ġp le", + "Ġpl e", + "i ation", + "ia tion", + "iat ion", + "Ġ headers", + "Ġhe aders", + "Ġhead ers", + "Ġheader s", + "Ġpro ced", + "Ġproc ed", + ".Component Model", + "Ġ Obama", + "ĠOb ama", + "Ġ pa", + "Ġp a", + "Ġ Best", + "ĠB est", + "ĠBe st", + "ĠBes t", + "im ately", + "imate ly", + "imat ely", + ". getString", + ".get String", + ".getS tring", + ". \\", + "m ploy", + "mp loy", + "mpl oy", + "Ġ raw", + "Ġr aw", + "Ġra w", + "_ block", + "_b lock", + "_bl ock", + "_bloc k", + "und red", + "\" },Ċ", + "\"} ,Ċ", + "\"}, Ċ", + "1 12", + "11 2", + ".Group Layout", + "Ġb rought", + "Ġbr ought", + "Ġbro ught", + "NS String", + "NSS tring", + "th row", + "thr ow", + "thro w", + "c reated", + "cre ated", + "create d", + "cr eated", + "creat ed", + ". New", + ".N ew", + "_ view", + "_v iew", + "_vi ew", + "C P", + "e ps", + "ep s", + "O p", + "Ġ gratis", + "Ġgr atis", + "Ġgrat is", + "Ġ '\"", + "Ġ' \"", + "Ġint erview", + "Ġinter view", + "Ġinterv iew", + "\" \"\"Ċ", + "\"\" \"Ċ", + "\"\"\" Ċ", + "Ġ partial", + "Ġp artial", + "Ġpart ial", + "Ġparti al", + "Ġ aria", + "Ġa ria", + "Ġar ia", + "b ing", + "bin g", + "bi ng", + "A uthor", + "Auth or", + "Aut hor", + "B ook", + "Bo ok", + "Ġ Pat", + "ĠP at", + "ĠPa t", + "u man", + "um an", + "uma n", + "User s", + "Us ers", + "Use rs", + "p lus", + "pl us", + "1 93", + "19 3", + "Ġ Direct", + "ĠD irect", + "ĠDi rect", + "ĠDir ect", + "ĠDire ct", + "ven ue", + "al pha", + "alph a", + "UC CESS", + "Ġ Call", + "ĠC all", + "ĠCal l", + "ĠCa ll", + "Ġ );čĊ", + "Ġ) ;čĊ", + "Ġ); čĊ", + "im ated", + "imate d", + "ima ted", + "imat ed", + "Ġ remain", + "Ġre main", + "Ġr emain", + "Ġrem ain", + "Ġ anti", + "Ġan ti", + "Ġant i", + "Ġ London", + "ĠL ondon", + "ĠLo ndon", + "ĠLon don", + "ĠLond on", + "Ġs afety", + "Ġsaf ety", + "Ġsafe ty", + "P OSE", + "PO SE", + "POS E", + "o les", + "ol es", + "ole s", + "cont roller", + "control ler", + "contr oller", + "contro ller", + "B yte", + "By te", + "Ġ Court", + "ĠC ourt", + "ĠCo urt", + "ĠCour t", + "ĠCou rt", + "Ġ Phil", + "ĠP hil", + "ĠPh il", + "ĠPhi l", + "Ġ Associ", + "ĠAss oci", + "ĠAssoc i", + "e na", + "en a", + "å IJ", + "_ STR", + "_S TR", + "_ST R", + "c oin", + "co in", + "res hold", + "resh old", + "Ġ batch", + "Ġb atch", + "Ġbat ch", + "_ Click", + "_C lick", + "_Cl ick", + "ent ication", + "entic ation", + "enti cation", + "> ';Ċ", + ">' ;Ċ", + ">'; Ċ", + "e nty", + "en ty", + "ent y", + "Ġbeg inning", + "Ġbegin ning", + "Ġ zero", + "Ġz ero", + "Ġze ro", + "Ġzer o", + "Ġ Convert", + "ĠCon vert", + "ĠConv ert", + "Ġ terr", + "Ġt err", + "Ġte rr", + "Ġter r", + "Ġ paid", + "Ġp aid", + "Ġpa id", + "Ġpai d", + "Ġincre ased", + "Ġincrease d", + "c atch", + "cat ch", + "- size", + "-s ize", + "1 15", + "11 5", + "act ivity", + "activ ity", + "e quals", + "equ als", + "equal s", + "Ġ queue", + "Ġque ue", + "Ġq ueue", + "Ġ \"'", + "Ġ\" '", + "Ġ International", + "ĠInt ernational", + "ĠIntern ational", + "ĠInter national", + "Ġf ür", + "urs day", + "Ġ scient", + "Ġs cient", + "Ġsc ient", + "Ġsci ent", + "al low", + "all ow", + "allo w", + "a xis", + "ax is", + "Ġ appropri", + "Ġapp ropri", + "Ġap propri", + "Ġappro pri", + "e dge", + "ed ge", + "Ġ idx", + "Ġi dx", + "Ġid x", + "S uccess", + "Su ccess", + "Suc cess", + "ent ifier", + ": \\", + "x is", + "xi s", + "Ġ maximum", + "Ġmax imum", + "Ġmaxim um", + "ar ks", + "ark s", + "Ġ birth", + "Ġb irth", + "Ġbir th", + "( index", + "(in dex", + "(ind ex", + "Ġ maybe", + "Ġm aybe", + "Ġmay be", + ". py", + ".p y", + "f iles", + "file s", + "fi les", + "fil es", + "Ġ limited", + "Ġl imited", + "Ġlimit ed", + "Ġlim ited", + "Ġlimite d", + "_ check", + "_c heck", + "_ch eck", + "_che ck", + "l ook", + "lo ok", + "loo k", + "p lies", + "pl ies", + "Ġ movement", + "Ġm ovement", + "Ġmov ement", + "Ġmove ment", + "Ġmo vement", + "' ].", + "'] .", + "Ġb road", + "Ġbr oad", + "Ġbro ad", + "Ġ BE", + "ĠB E", + "Ġ UnityEngine", + "ĠUn ityEngine", + "ĠUnity Engine", + ". cpp", + ".c pp", + ".cp p", + "Ġ Every", + "ĠE very", + "ĠEv ery", + "ĠEver y", + "ĠEve ry", + "Ad min", + "Ġ fans", + "Ġf ans", + "Ġfa ns", + "Ġfan s", + "p ared", + "par ed", + "pare d", + "pa red", + "Ċ ĠĠĠĠĊ", + "Ġ foreign", + "Ġfore ign", + "Ġ pan", + "Ġp an", + "Ġpa n", + "Ġ tour", + "Ġt our", + "Ġto ur", + "Ġtou r", + "Ġ Order", + "ĠOr der", + "ĠOrd er", + "Ġ moving", + "Ġm oving", + "Ġmov ing", + "Ġmo ving", + "Ġ auf", + "Ġa uf", + "Ġau f", + "C all", + "Cal l", + "Ca ll", + "c b", + "Å Ł", + "vent ory", + "Ġ Sql", + "ĠS ql", + "ĠSq l", + "Ġ fully", + "Ġf ully", + "Ġfull y", + "Ġful ly", + "Click Listener", + "W ORD", + "WO RD", + "Ġann ounced", + "Ġannounc ed", + "Ġannounce d", + ") čĊčĊ", + ")čĊ čĊ", + "Ġag reed", + "Ġagre ed", + "Ġagree d", + "Ġagr eed", + "r ie", + "ri e", + "Ġ earn", + "Ġe arn", + "Ġear n", + "Ġea rn", + "_ link", + "_l ink", + "_lin k", + "_li nk", + ". array", + ".a rray", + ".ar ray", + ".arr ay", + "( text", + "(t ext", + "(te xt", + "(tex t", + "Ġ materials", + "Ġmaterial s", + "Ġmateria ls", + "Ġmater ials", + "Ġmateri als", + ", p", + "f fff", + "ff ff", + "fff f", + "v g", + "Ġ ©", + "Ġ ©", + "Ġ unless", + "Ġun less", + "Ġunle ss", + "Ġunl ess", + "a jax", + "aj ax", + "aja x", + "L OG", + "LO G", + "Ġ sexual", + "Ġs exual", + "Ġsex ual", + "Ġ \\\"", + "Ġ\\ \"", + "- time", + "-t ime", + "Ġ coach", + "Ġco ach", + "Ġ supported", + "Ġs upported", + "Ġsup ported", + "Ġsupport ed", + "Ġsupp orted", + "Ġ photos", + "Ġph otos", + "Ġphot os", + "Ġphoto s", + "i form", + "if orm", + "ifo rm", + ". Create", + ".C reate", + ") ]", + "r ier", + "ri er", + "rie r", + "Ġ dialog", + "Ġd ialog", + "Ġdi alog", + "Ġdia log", + "Ġdial og", + "a ver", + "av er", + "ave r", + "i ge", + "ig e", + ") +", + "_ idx", + "_id x", + "_i dx", + ": [", + "_ min", + "_m in", + "_mi n", + "Ġ Cong", + "ĠC ong", + "ĠCon g", + "ĠCo ng", + "Ġ pressure", + "Ġpres sure", + "Ġpress ure", + "Ġ teams", + "Ġte ams", + "Ġteam s", + "Ġtea ms", + "S ign", + "Si gn", + "Sig n", + "b egin", + "be gin", + "beg in", + "r ian", + "ri an", + "ria n", + "N ESS", + "NE SS", + "NES S", + "L S", + "Ġim prove", + "Ġimp rove", + "Ġimpro ve", + "Ġimpr ove", + "Ġimprov e", + "Ġ Sunday", + "ĠS unday", + "ĠSun day", + "ĠSund ay", + "Ġ definition", + "Ġdef inition", + "Ġdefinit ion", + "Ġdefin ition", + "i ger", + "ig er", + "ige r", + "rol lers", + "roll ers", + "roller s", + "Ġ thinking", + "Ġth inking", + "Ġthink ing", + "Ġthin king", + "T emplate", + "Temp late", + "Tem plate", + "- F", + "Ġem erg", + "p lates", + "pl ates", + "plate s", + "plat es", + "pla tes", + "Ġ USA", + "ĠU SA", + "ĠUS A", + ". setState", + ".set State", + "Ġ Also", + "ĠAl so", + "ĠAls o", + "r ev", + "re v", + "Ġ enable", + "Ġe nable", + "Ġen able", + "Ġ CO", + "ĠC O", + "P ECT", + "PE CT", + "PEC T", + "Ġ concept", + "Ġcon cept", + "Ġconc ept", + "Ġconce pt", + ") -", + "Ġ âĢ¢", + "ĠâĢ ¢", + "Ġ sets", + "Ġs ets", + "Ġse ts", + "Ġset s", + "Ġ meaning", + "Ġme aning", + "Ġmean ing", + "e mon", + "em on", + "emo n", + "Ġ Cons", + "ĠC ons", + "ĠCon s", + "ĠCo ns", + "c mp", + "cm p", + "e der", + "ed er", + "ede r", + "an ned", + "ann ed", + "anne d", + "ic ensed", + "icense d", + "icens ed", + "Ġ Super", + "ĠS uper", + "ĠSup er", + "ĠSu per", + "Ġ daily", + "Ġd aily", + "Ġda ily", + "Ġdai ly", + "Ġ multi", + "Ġm ulti", + "Ġmult i", + "Ġmul ti", + "_ u", + "Ġch alleng", + "Ġchall eng", + "_ mode", + "_m ode", + "_mod e", + "_mo de", + "Ġ Promise", + "ĠP romise", + "ĠPro mise", + "ĠProm ise", + "Ġ strict", + "Ġstr ict", + "Ġstri ct", + "j o", + "i nton", + "in ton", + "int on", + "into n", + "( list", + "(l ist", + "(li st", + "On ly", + "> {", + "Ġ vehicle", + "Ġv ehicle", + "Ġveh icle", + "í ķ", + "Ġ Player", + "ĠP layer", + "ĠPl ayer", + "ĠPlay er", + "ĠPla yer", + "1 06", + "10 6", + "Ġ Del", + "ĠD el", + "ĠDe l", + "Ġ pool", + "Ġp ool", + "Ġpo ol", + "Ġpoo l", + ". url", + ".u rl", + ".ur l", + "nes day", + "( );čĊčĊ", + "() ;čĊčĊ", + "();čĊ čĊ", + "(); čĊčĊ", + "9 00", + "90 0", + "Ġ \");Ċ", + "Ġ\" );Ċ", + "Ġ\") ;Ċ", + "Ġ\"); Ċ", + "L ocal", + "Lo cal", + "Loc al", + ". \");Ċ", + ".\" );Ċ", + ".\") ;Ċ", + ".\"); Ċ", + "Ġ organization", + "Ġo rganization", + "Ġorgan ization", + "Ġorganiz ation", + "r ender", + "re nder", + "ren der", + "rend er", + "rende r", + "Ġ Application", + "ĠApp lication", + "ĠAp plication", + "ĠAppl ication", + "Ġ summer", + "Ġs ummer", + "Ġsum mer", + "Ġsumm er", + "ex pected", + "exp ected", + "expect ed", + "N A", + "Ġ rap", + "Ġr ap", + "Ġra p", + "_ obj", + "_o bj", + "_ob j", + "Ġ surface", + "Ġs urface", + "Ġsur face", + "Ġsurf ace", + "Ġ PUR", + "ĠP UR", + "ĠPU R", + "Ġ },ĊĊ", + "Ġ} ,ĊĊ", + "Ġ},Ċ Ċ", + "Ġ}, ĊĊ", + "Ġ variables", + "Ġvariable s", + "Ġvari ables", + "( message", + "(m essage", + "Ġo pin", + "Ġop in", + "Ġopi n", + ". back", + ".b ack", + ".ba ck", + "а н", + "аР½", + "Ġ workers", + "Ġwork ers", + "Ġwor kers", + "Ġworker s", + "v m", + "C o", + "ught er", + "ugh ter", + "Ġ master", + "Ġm aster", + "Ġma ster", + "Ġmas ter", + "Ġmast er", + "Ġ \"\",", + "Ġ\" \",", + "Ġ\"\" ,", + "Ġ stories", + "Ġst ories", + "Ġstor ies", + "Ġsto ries", + ". User", + ".U ser", + ".Use r", + "Ġcele br", + "in ese", + "ine se", + "ines e", + "B S", + "Ġ Command", + "ĠCom mand", + "ĠComm and", + "ash board", + "Ġ og", + "Ġo g", + "k g", + ". image", + ".i mage", + ".im age", + ".imag e", + ". style", + ".st yle", + "Ġ steps", + "Ġst eps", + "Ġstep s", + "Ġste ps", + "Ġ Ben", + "ĠB en", + "ĠBe n", + "( args", + "(arg s", + "(ar gs", + "4 04", + "40 4", + "Ġ Person", + "ĠP erson", + "ĠPer son", + "ĠPers on", + ", y", + "Ġoffic ials", + "Ġofficial s", + "| Ċ", + "Ġ skills", + "Ġs kills", + "Ġsk ills", + "Ġskill s", + "v c", + "Ġ builder", + "Ġb uilder", + "Ġbu ilder", + "Ġbuild er", + "Ġ gar", + "Ġg ar", + "Ġga r", + "A ccount", + "Ac count", + "Acc ount", + "Ġ Auth", + "ĠA uth", + "ĠAut h", + "ĠAu th", + "ç Ķ", + "' ])Ċ", + "'] )Ċ", + "']) Ċ", + "Ġ AT", + "ĠA T", + "n n", + ". Int", + ".I nt", + ".In t", + "SS ERT", + "Ġ effective", + "Ġe ffective", + "Ġeffect ive", + "Ġeff ective", + "LE TE", + "LET E", + "Ġ tools", + "Ġt ools", + "Ġto ols", + "Ġtoo ls", + "Ġtool s", + "A RD", + "AR D", + "Ġ digital", + "Ġd igital", + "Ġdig ital", + "Ġdigit al", + "1 91", + "19 1", + "D ouble", + "Do uble", + "Dou ble", + "Ġ Find", + "ĠF ind", + "ĠFin d", + "ĠFi nd", + "R C", + "Ġ inline", + "Ġin line", + "/ r", + "A RAM", + "AR AM", + "ARA M", + "A SK", + "AS K", + "Ġ intent", + "Ġin tent", + "Ġint ent", + "Ġinte nt", + "a ight", + "ai ght", + "_ addr", + "_add r", + "_ad dr", + "Ġ requests", + "Ġre quests", + "Ġrequest s", + "Ġrequ ests", + ". first", + ".f irst", + ".fi rst", + "Ġ debug", + "Ġde bug", + "Ġdeb ug", + "Ġ spent", + "Ġs pent", + "Ġsp ent", + "Ġspe nt", + "( )));Ċ", + "() ));Ċ", + "()) );Ċ", + "())) ;Ċ", + "())); Ċ", + "Å Ľ", + "Ġpr incip", + "Ġprin cip", + "Ġprinc ip", + "Log ger", + "Lo gger", + "cl udes", + "clude s", + "clud es", + ". use", + ".u se", + ".us e", + "Ġs urv", + "Ġsu rv", + "Ġsur v", + "m edia", + "med ia", + "me dia", + "medi a", + "Ġ February", + "ĠFe bruary", + "ĠFeb ruary", + "Ġ Mac", + "ĠM ac", + "ĠMa c", + "Ġ missing", + "Ġm issing", + "Ġmiss ing", + "Ġmis sing", + "Ġ wife", + "Ġw ife", + "Ġwi fe", + "Ġt alking", + "Ġtalk ing", + "Ġtal king", + "Ġ Make", + "ĠM ake", + "ĠMa ke", + "ĠMak e", + "Ġ cart", + "Ġc art", + "Ġcar t", + "Ġca rt", + "Ġ located", + "Ġloc ated", + "Ġlocate d", + "E nc", + "En c", + "- a", + "ch ron", + "chr on", + "Ġ cards", + "Ġc ards", + "Ġcar ds", + "Ġcard s", + "Ġg uy", + "Ġgu y", + "Ġ pers", + "Ġp ers", + "Ġper s", + "Ġpe rs", + "Ġ Yes", + "ĠY es", + "ĠYe s", + "at ever", + "ate ver", + "Ġ Ang", + "ĠA ng", + "ĠAn g", + "o lar", + "ol ar", + "ola r", + "Ġ Even", + "ĠE ven", + "ĠEv en", + "ĠEve n", + "Ġ accur", + "Ġacc ur", + "Ġac cur", + "Ġ Power", + "ĠP ower", + "ĠPo wer", + "ĠPow er", + "Ġ Gold", + "ĠG old", + "ĠGo ld", + "ĠGol d", + "c lear", + "cl ear", + "cle ar", + "P rocess", + "Pro cess", + "Proc ess", + "Ġ records", + "Ġrec ords", + "Ġrecord s", + "Ġk illed", + "Ġkill ed", + "Ġkil led", + ". clear", + ".c lear", + ".cl ear", + "ĠWARRANT IES", + "Ġ purpose", + "Ġp urpose", + "Ġpur pose", + "Ġpurpos e", + "p anel", + "pan el", + "pa nel", + "pane l", + "J ECT", + "JE CT", + "ÃŃ a", + "Ġex erc", + "Ġexe rc", + "W S", + "/ L", + ". exports", + ".ex ports", + ".exp orts", + ".export s", + "Ġ ___", + "Ġ_ __", + "Ġ__ _", + "Ġ sin", + "Ġs in", + "Ġsi n", + "S ervlet", + "Serv let", + "Ġd é", + ". delete", + ".de lete", + ".del ete", + "r oke", + "ro ke", + "rok e", + "S l", + "u gh", + "ug h", + "e ars", + "ear s", + "ea rs", + "Ġ pointer", + "Ġpoint er", + "Ġpo inter", + "Ġ hop", + "Ġh op", + "Ġho p", + "all ery", + "alle ry", + "aller y", + "Ġ obs", + "Ġo bs", + "Ġob s", + "c overy", + "co very", + "cover y", + "cov ery", + "ĉ char", + "ĉc har", + "ĉch ar", + "ĉ ĉĉĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉĉ ĉĉĉĉ", + "ĉĉĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉĉĉĉ ĉ", + "ĉ def", + "ĉd ef", + "ĉde f", + "o city", + "oc ity", + "oci ty", + "it chen", + "itch en", + "u lations", + "ul ations", + "ulation s", + "Ġ FIT", + "ĠF IT", + "ĠFI T", + "Ġ ).", + "Ġ) .", + "straint s", + "stra ints", + "strain ts", + "v ention", + "vent ion", + "ven tion", + "Ġ requires", + "Ġre quires", + "Ġrequire s", + "Ġrequ ires", + "Ġ Oper", + "ĠO per", + "ĠOp er", + "M E", + "O UNT", + "OUN T", + "OU NT", + "al let", + "all et", + "alle t", + "Ġ norm", + "Ġn orm", + "Ġno rm", + "Ġnor m", + "I RE", + "IR E", + "ex as", + "Ġ programs", + "Ġpro grams", + "Ġpr ograms", + "Ġprogram s", + "Ġprog rams", + "Ġ weak", + "Ġwe ak", + "' .$", + "'. $", + "u ing", + "ui ng", + "uin g", + "ĉ ĠĠĠĠĠĠĠ", + "ĉĠĠĠ ĠĠĠĠ", + "ĉĠ ĠĠĠĠĠĠ", + "ĉĠĠ ĠĠĠĠĠ", + "ĉĠĠĠĠĠ ĠĠ", + "ĉĠĠĠĠ ĠĠĠ", + "ĉĠĠĠĠĠĠ Ġ", + "Ġ mil", + "Ġm il", + "Ġmi l", + "Ġ firm", + "Ġf irm", + "Ġfi rm", + "Ġfir m", + "init ely", + "inite ly", + "_ VALUE", + "_VAL UE", + "ap se", + "aps e", + "atis f", + "ati sf", + "Ġ demand", + "Ġd emand", + "Ġde mand", + "Ġdem and", + "_ mod", + "_m od", + "_mo d", + "Ġde scribed", + "Ġdes cribed", + "Ġdescri bed", + "Ġdescribe d", + "Ġ places", + "Ġp laces", + "Ġpl aces", + "Ġplace s", + "Ġplac es", + "Ġpla ces", + "V ID", + "VI D", + "Ġ alone", + "Ġal one", + "Ġalo ne", + "Ġ export", + "Ġex port", + "Ġexp ort", + "Ġexpo rt", + "Ġ vec", + "Ġv ec", + "Ġve c", + "Ġ Max", + "ĠM ax", + "ĠMa x", + "Ġ activities", + "Ġact ivities", + "Ġactiv ities", + "ic tures", + "ict ures", + "icture s", + "g ener", + "ge ner", + "gen er", + "gene r", + "Ġ ma", + "Ġm a", + "Ĥ ¬", + "Ġ expression", + "Ġex pression", + "Ġexp ression", + "Ġexpress ion", + "Ġexpr ession", + "C allback", + "Call back", + "_ content", + "_c ontent", + "_con tent", + "_cont ent", + "Ġ Most", + "ĠM ost", + "ĠMo st", + "ĠMos t", + "Ġ testing", + "Ġt esting", + "Ġtest ing", + "Ġtes ting", + "E C", + "CH ANT", + "CHA NT", + "CHAN T", + "Ġ adjust", + "Ġad just", + "Ġadj ust", + ".Th reading", + ".Thread ing", + "( ctx", + "(c tx", + "(ct x", + "Ġ agree", + "Ġa gree", + "Ġag ree", + "Ġagre e", + "Ġagr ee", + "i ghest", + "ig hest", + "igh est", + "Ġ ui", + "Ġu i", + "Ġ Law", + "ĠL aw", + "ĠLa w", + ". Y", + "> < ?", + "Ġ pod", + "Ġp od", + "Ġpo d", + "- lg", + "-l g", + "âĢĿ ĊĊ", + "âĢĿĊ Ċ", + "Ġ describe", + "Ġde scribe", + "Ġdes cribe", + "Ġdescri be", + "Ġdescr ibe", + "Ġ European", + "ĠE uropean", + "ĠEurope an", + "ĠEurop ean", + "- sh", + "-s h", + "ĠPUR POSE", + "O RY", + "OR Y", + "Ġcon vers", + "Ġconv ers", + "Ġconver s", + "Ġ Illuminate", + "ĠI lluminate", + "ĠIllum inate", + "Ġ Av", + "ĠA v", + "( ch", + "(c h", + "? \"", + "c hen", + "ch en", + "che n", + "i ma", + "im a", + "D ocument", + "Doc ument", + "Ġ operations", + "Ġoper ations", + "Ġoperation s", + "w in", + "wi n", + "ĉ function", + "ĉf unction", + "ĉfunc tion", + "ĉfun ction", + ". Image", + ".I mage", + ".Im age", + "Ġs cen", + "Ġsc en", + "Ġsce n", + "/ h", + "Ġ SC", + "ĠS C", + "Ġ explo", + "Ġexp lo", + "Ġexpl o", + ": %", + "/ **čĊ", + "/* *čĊ", + "/** čĊ", + "N AME", + "NA ME", + "æ Ī", + "( var", + "(v ar", + "(va r", + "Ġ director", + "Ġd irector", + "Ġdirect or", + "Ġdir ector", + "Ġdire ctor", + "O NG", + "ON G", + "Ġ yield", + "Ġy ield", + "Ġyi eld", + "Ġfe et", + "Ġfee t", + "Ġ Search", + "ĠS earch", + "ĠSe arch", + "ĠSea rch", + "Ġ Il", + "ĠI l", + "Ġrest aur", + "Ġresta ur", + "Ġrestau r", + "d uc", + "du c", + "Ġ integer", + "Ġint eger", + "Ġinteg er", + "Ġinte ger", + "1 07", + "10 7", + "Ġ' ';Ċ", + "Ġ'' ;Ċ", + "Ġ''; Ċ", + "Ġhigh ly", + "check ed", + "ĠPART IC", + "ER CHANT", + "ï¼ ī", + "Ġ optim", + "Ġop tim", + "Ġopt im", + "Q ueue", + "Que ue", + "Ġ LI", + "ĠL I", + "it ation", + "ita tion", + "itat ion", + "Ġ transport", + "Ġtrans port", + "Ġtran sport", + "iss ion", + "f ill", + "fi ll", + "fil l", + "us ion", + "usi on", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĉ bool", + "ĉb ool", + "- th", + "-t h", + "u pt", + "up t", + "Ġ essential", + "Ġess ential", + "an ted", + "ant ed", + "ante d", + "Ġbenef its", + "Ġbenefit s", + "Ġbene fits", + "ĉ S", + "' ;čĊ", + "'; čĊ", + "i ki", + "ik i", + "Ġ girls", + "Ġgirl s", + "Ġgir ls", + "i ced", + "ic ed", + "ice d", + "b uffer", + "buf fer", + "bu ffer", + "buff er", + "] +", + "Ġ socket", + "Ġs ocket", + "Ġso cket", + "Ġsock et", + "Ġsoc ket", + "Ġ prices", + "Ġp rices", + "Ġpr ices", + "Ġprice s", + "Ġpri ces", + "Ġ Fre", + "ĠF re", + "ĠFr e", + "Ġ sat", + "Ġs at", + "Ġsa t", + "Ġ wood", + "Ġw ood", + "Ġwo od", + "Ġwoo d", + "Menu Item", + "A RG", + "AR G", + "Ġ Admin", + "ĠAd min", + "O WN", + "OW N", + "d k", + "Ġ reset", + "Ġre set", + "Ġres et", + "Ġ forms", + "Ġfor ms", + "Ġform s", + "Ġfo rms", + "Ġ и", + "ĠÐ ¸", + "æ ĸ", + "Ġ Tuesday", + "ĠT uesday", + "ĠTues day", + "1 09", + "10 9", + "Ġ Initialized", + "ĠInitial ized", + "ĠInitialize d", + "ĠInit ialized", + "_ train", + "_t rain", + "_tr ain", + "_tra in", + "o rary", + "or ary", + "ora ry", + "ate gor", + "ateg or", + "atego r", + "Ġ dt", + "Ġd t", + "T otal", + "To tal", + "Tot al", + "con struct", + "i lies", + "il ies", + "ili es", + "Ġgu ys", + "Ġguy s", + "е ÑĢ", + "Ġ instruction", + "Ġin struction", + "Ġinstr uction", + "Ġinstruct ion", + "0 10", + "01 0", + "y led", + "yle d", + "yl ed", + "Ġ internet", + "Ġin ternet", + "Ġint ernet", + "Ġinter net", + "Ġintern et", + "et adata", + "eta data", + "a dy", + "ad y", + "f aces", + "face s", + "fa ces", + "fac es", + "j ection", + "ject ion", + "je ction", + "jec tion", + "Ġ Jack", + "ĠJ ack", + "ĠJac k", + "ĠJa ck", + "Ġ rect", + "Ġre ct", + "Ġr ect", + "Ġrec t", + "[ -", + "Ġ Leg", + "ĠL eg", + "ĠLe g", + "Ġ devices", + "Ġdev ices", + "Ġdevice s", + "O C", + "Ġ *čĊ", + "Ġ* čĊ", + "o ration", + "or ation", + "ora tion", + "er tain", + "ert ain", + "erta in", + "Ġ guard", + "Ġg uard", + "Ġgu ard", + "Ġguar d", + "o stream", + "ost ream", + "Ġ enum", + "Ġe num", + "Ġen um", + ". layout", + ".l ayout", + "Ġ \";Ċ", + "Ġ\" ;Ċ", + "Ġ\"; Ċ", + "v oke", + "vo ke", + "Ġ Ok", + "ĠO k", + "H ome", + "Ho me", + "Hom e", + "( tr", + "(t r", + "E TH", + "ET H", + "Ġ delay", + "Ġd elay", + "Ġde lay", + "Ġdel ay", + "Ġdela y", + "Ġ purchase", + "Ġp urchase", + "Ġpurch ase", + "d c", + "Ġ aren", + "Ġa ren", + "Ġare n", + "Ġar en", + "_ once", + "_on ce", + "_o nce", + "ĉ ĉĉĉĊ", + "ĉĉ ĉĉĊ", + "ĉĉĉĉ Ċ", + "ĉĉĉ ĉĊ", + "r or", + "ro r", + "d raw", + "dr aw", + "dra w", + ". run", + ".r un", + ".ru n", + "( model", + "(m odel", + "(mod el", + "(mode l", + "Time out", + "l ik", + "li k", + "Ġ Arg", + "ĠA rg", + "ĠAr g", + ". en", + ".e n", + "Ġ fish", + "Ġf ish", + "Ġfi sh", + "Ġfis h", + "c py", + "cp y", + "_ fe", + "_f e", + "ERCHANT ABILITY", + "( X", + "_ output", + "_out put", + "? ?", + "Ġ jo", + "Ġj o", + "and ard", + "anda rd", + "Ġ doll", + "Ġd oll", + "Ġdo ll", + "Ġdol l", + "er rors", + "err ors", + "error s", + "erro rs", + "_ base", + "_b ase", + "ĠPARTIC ULAR", + "Ġ leader", + "Ġle ader", + "Ġlead er", + "Ġcom par", + "Ġco mpar", + "Ġcomp ar", + "Ġd oub", + "Ġdo ub", + "Ġdou b", + "Ġ Vis", + "ĠV is", + "ĠVi s", + "Stack Trace", + "- C", + "ĠSt ud", + "stit ute", + "M ore", + "Mo re", + "Mor e", + "Ġ Description", + "ĠD escription", + "ĠDe scription", + "ĠDes cription", + "W ARE", + "WA RE", + "WAR E", + "a ds", + "ad s", + "Ġ к", + "ĠÐ º", + "b ind", + "bin d", + "bi nd", + "= self", + "=s elf", + "e mploy", + "em ploy", + "emp loy", + "empl oy", + "emplo y", + "[ n", + ". all", + ".a ll", + ".al l", + "- B", + "& &", + "a lm", + "al m", + "Ġ culture", + "Ġc ulture", + "Ġcult ure", + "Ġcul ture", + "h ouse", + "ho use", + "hou se", + "Ġs uffer", + "Ġsu ffer", + "Ġsuff er", + "Ġsuf fer", + "Ġ '%", + "Ġ' %", + "Ġ straight", + "Ġstr aight", + "Ġstra ight", + "Ġ Star", + "ĠS tar", + "ĠSt ar", + "ĠSta r", + "u do", + "ud o", + "Ġ ded", + "Ġd ed", + "Ġde d", + "Ġ COM", + "ĠC OM", + "ĠCO M", + "Ġ confirm", + "Ġcon firm", + "Ġconf irm", + "Ġ Good", + "ĠG ood", + "ĠGo od", + ". sc", + ".s c", + "____ ____________", + "________ ________", + "____________ ____", + "D R", + "Config uration", + "Date Time", + "Ġ advert", + "Ġad vert", + "Ġadv ert", + "Ġ couldn", + "Ġcould n", + "a sync", + "as ync", + "asy nc", + "st ack", + "sta ck", + "' )čĊ", + "') čĊ", + "K it", + "Ki t", + "Ġh ous", + "Ġho us", + "Ġm echan", + "Ġme chan", + "Ġmec han", + "Ġmech an", + "r ate", + "ra te", + "rat e", + "2 04", + "20 4", + "Ġ audio", + "Ġa udio", + "Ġaud io", + "Ġau dio", + "Ġaudi o", + "ĉ cout", + "ĉc out", + "c ores", + "co res", + "core s", + "cor es", + "Ġ spot", + "Ġs pot", + "Ġsp ot", + "Ġspo t", + "Ġin creasing", + "Ġincre asing", + "Ġ ##", + "Ġ# #", + ") ))", + ")) )", + "p oints", + "point s", + "po ints", + "poi nts", + "Ġcom pared", + "Ġcomp ared", + "Ġcompar ed", + "Ġcompare d", + "l ig", + "li g", + "Ġ behavior", + "Ġbeh avior", + "Ġ BY", + "ĠB Y", + "Ġ Att", + "ĠA tt", + "ĠAt t", + "c raft", + "cr aft", + "he aders", + "head ers", + "header s", + "hea ders", + "e te", + "et e", + "end region", + "Ġ detail", + "Ġd etail", + "Ġde tail", + "Ġdet ail", + "U LE", + "UL E", + "Ġ Common", + "ĠCom mon", + "ĠComm on", + "ĉ protected", + "s ton", + "st on", + "sto n", + "ĠFIT NESS", + "Ġ fresh", + "Ġf resh", + "Ġfr esh", + "Ġfre sh", + "Ġfres h", + "\" >ĊĊ", + "\"> ĊĊ", + "\">Ċ Ċ", + ". example", + ".ex ample", + ".exam ple", + "b erg", + "ber g", + "be rg", + "Ġ moved", + "Ġm oved", + "Ġmov ed", + "Ġmove d", + "Ġmo ved", + "ĉ e", + "Ġ Saturday", + "ĠS aturday", + "Ġ payload", + "Ġp ayload", + "Ġpay load", + "Ä ĩ", + ") :ĊĊ", + "):Ċ Ċ", + "): ĊĊ", + "Ġb ey", + "Ġbe y", + "u rer", + "ur er", + "ure r", + "< script", + " ,", + "\" > < ?", + "( num", + "(n um", + "ĉ inline", + "ĉin line", + "Trans action", + ". On", + ".O n", + "Ġ mail", + "Ġm ail", + "Ġma il", + "Ġmai l", + "r ey", + "re y", + "res ults", + "result s", + "Ġ nav", + "Ġn av", + "Ġna v", + "I MIT", + "IM IT", + "_ ids", + "_id s", + "_i ds", + "M ake", + "Ma ke", + "å Ĭ", + "M odal", + "Mod al", + "Mo dal", + "Ġ LOG", + "ĠL OG", + "ĠLO G", + "Ġ Sur", + "ĠS ur", + "ĠSu r", + "Ġinstance of", + "Ġ overall", + "Ġover all", + "Ġ Information", + "ĠIn formation", + "ĠInform ation", + "Ġ construction", + "Ġcon struction", + "Ġconstruct ion", + "Ġconstr uction", + "_ FILE", + "_F ILE", + "b ut", + "bu t", + "Ġm edic", + "Ġme dic", + "Ġmed ic", + "Ġmedi c", + "Ġ duration", + "Ġd uration", + "Ġdu ration", + "Ġdur ation", + "it ness", + "a gent", + "ag ent", + "age nt", + "agen t", + "A V", + "Ġ seven", + "Ġs even", + "Ġse ven", + "Ġsev en", + "o lf", + "ol f", + "Ġ }}Ċ", + "Ġ} }Ċ", + "Ġ}} Ċ", + "\" ],Ċ", + "\"] ,Ċ", + "\"], Ċ", + "1 70", + "17 0", + "1 22", + "12 2", + "Ġ calling", + "Ġc alling", + "Ġcall ing", + "Ġcal ling", + "Ġ ans", + "Ġa ns", + "Ġan s", + "th rows", + "throw s", + "thr ows", + "thro ws", + "or izontal", + "Ġ useState", + "Ġuse State", + ". fl", + ".f l", + "Ġ Status", + "ĠS tatus", + "ĠSt atus", + "ĠStat us", + "Ġ Online", + "ĠOn line", + "R R", + "Ġ Rich", + "ĠR ich", + "ĠRic h", + "ĠRi ch", + "ĠH ill", + "ĠHi ll", + "ĠHil l", + "Ġ brain", + "Ġb rain", + "Ġbr ain", + "Ġbra in", + "Ġfollow ed", + "Ġfoll owed", + "2 40", + "24 0", + "e mic", + "em ic", + "emi c", + "Ġs light", + "Ġsl ight", + "Ġ insurance", + "Ġins urance", + ". Array", + ".A rray", + ".Ar ray", + "Ġ abstract", + "Ġa bstract", + "Ġab stract", + "Ġabs tract", + "Ġabst ract", + "Ġ Sum", + "ĠS um", + "ĠSu m", + "re direct", + "red irect", + "redi rect", + "o wner", + "ow ner", + "own er", + "( msg", + "(m sg", + "(ms g", + "Ġ Clinton", + "ĠCl inton", + "ĠClin ton", + "ĠClint on", + "ĠCli nton", + "N on", + "No n", + "ĉ ex", + "ĉe x", + "Ġ volume", + "Ġv olume", + "Ġvol ume", + "Ġvolum e", + "Ġ EventArgs", + "ĠEvent Args", + "- L", + "Ġ Dim", + "ĠD im", + "ĠDi m", + "Ġ Mart", + "ĠM art", + "ĠMar t", + "ĠMa rt", + "Ġ cursor", + "Ġc ursor", + "Ġcurs or", + "Ġcurso r", + "Ġ implementation", + "Ġim plementation", + "Ġimplement ation", + "ur red", + "urre d", + "urr ed", + "Ġl arger", + "Ġlarge r", + "Ġlarg er", + "Ġlar ger", + ") ;ĊĊĊ", + ");Ċ ĊĊ", + ");ĊĊ Ċ", + "); ĊĊĊ", + "' +", + ". transform", + ".trans form", + "Ġ upload", + "Ġup load", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "D raw", + "Dr aw", + "n el", + "ne l", + "ĉ float", + "ĉf loat", + "q rt", + "qr t", + "Ġ Network", + "ĠN etwork", + "ĠNet work", + "Ġ tit", + "Ġt it", + "Ġti t", + "A xis", + "Ax is", + ". android", + ".and roid", + "Ġ completed", + "Ġcom pleted", + "Ġcomp leted", + "Ġcomple ted", + "Ġcomplet ed", + "Ġcompl eted", + "Ġcomplete d", + "Ġ mur", + "Ġm ur", + "Ġmu r", + "Ġ columns", + "Ġcolumn s", + "Ġcolum ns", + "x c", + "Ġ supply", + "Ġs upply", + "Ġsup ply", + "Ġsuppl y", + "Ġsupp ly", + "im inal", + "imi nal", + "imin al", + "Ġ spr", + "Ġs pr", + "Ġsp r", + "================ ================================================", + "================================ ================================", + "================================================ ================", + "Ġ units", + "Ġun its", + "Ġunit s", + "Ġuni ts", + "( u", + "m i", + "re place", + "rep lace", + "[ key", + "[k ey", + "à ¹", + "an tic", + "ant ic", + "anti c", + "Ġ payment", + "Ġp ayment", + "Ġpay ment", + ", B", + "Ġ Apple", + "ĠApp le", + "ĠAp ple", + "ĠAppl e", + "g in", + "gi n", + "Re quired", + "Require d", + "# +", + "l ands", + "land s", + "la nds", + "lan ds", + "Ġ squ", + "Ġs qu", + "Ġsq u", + "Ġ factor", + "Ġf actor", + "Ġfact or", + "Ġfa ctor", + "Ġfac tor", + "Ġfacto r", + "d ec", + "de c", + "Ġ strength", + "Ġst rength", + "Ġstr ength", + "Ġstre ngth", + "Ġstren gth", + "Ġ boy", + "Ġb oy", + "Ġbo y", + "Ġ balance", + "Ġb alance", + "Ġbal ance", + "Ġ sources", + "Ġs ources", + "Ġsource s", + "Ġsour ces", + "s creen", + "sc reen", + "scr een", + "- top", + "-t op", + "-to p", + "Ġ Amazon", + "ĠA mazon", + "ĠAm azon", + "ĠAma zon", + "Ġ hidden", + "Ġh idden", + "Ġhi dden", + "Ġhid den", + "е ÑĤ", + "_ client", + "_c lient", + "_cl ient", + "_cli ent", + "Ġ eat", + "Ġe at", + "Ġea t", + ". display", + ".d isplay", + ".dis play", + "Ġ »", + "Ġ »", + "Ġ trigger", + "Ġtr igger", + "Ġtri gger", + "Ġtrig ger", + "an ager", + "ana ger", + "Ġ tro", + "Ġt ro", + "Ġtr o", + "Ġ claims", + "Ġcl aims", + "Ġclaim s", + "Ġcla ims", + "f ord", + "fo rd", + "for d", + "Ġ Company", + "ĠCom pany", + "ĠComp any", + "Ġ gift", + "Ġg ift", + "Ġgi ft", + "Ġgif t", + ", :", + "_ app", + "_a pp", + "_ap p", + "h andle", + "han dle", + "hand le", + "Ġ produce", + "Ġp roduce", + "Ġpro duce", + "Ġprodu ce", + "Ġprod uce", + "/ lib", + "/l ib", + "/li b", + "5 12", + "51 2", + "Ġ -*", + "Ġ- *", + "ĉ set", + "ĉs et", + "ĉse t", + "' ];", + "'] ;", + "a rc", + "ar c", + "a nder", + "an der", + "and er", + "ande r", + "Ġ Engine", + "ĠE ngine", + "ĠEng ine", + "Ġ attributes", + "Ġat tributes", + "Ġattribute s", + "Ġattrib utes", + "t ask", + "ta sk", + "tas k", + "< =", + "( N", + "Ġ warm", + "Ġw arm", + "Ġwar m", + "Ġwa rm", + "wh ich", + "Ġ Fore", + "ĠF ore", + "ĠFor e", + "ĠFo re", + "ag nost", + "agn ost", + "m ys", + "my s", + "Ġ tal", + "Ġt al", + "Ġta l", + "Ġ Sal", + "ĠS al", + "ĠSa l", + "g i", + "Ġ Print", + "ĠP rint", + "ĠPr int", + "ĠPri nt", + "Ġ TRUE", + "ĠTR UE", + "Ġ о", + "ĠÐ ¾", + ". UI", + ".U I", + "Ġ flash", + "Ġf lash", + "Ġfl ash", + "Ġfla sh", + "ro perty", + "rop erty", + ". location", + ".l ocation", + ".loc ation", + ".lo cation", + "Ġ Mill", + "ĠM ill", + "ĠMil l", + "ĠMi ll", + "b i", + "con tr", + "cont r", + ". request", + ".re quest", + ".req uest", + "Ġ Sam", + "ĠS am", + "ĠSa m", + "Ġ negative", + "Ġn egative", + "Ġneg ative", + "k it", + "ki t", + "Ġ sett", + "Ġs ett", + "Ġse tt", + "Ġset t", + ".print StackTrace", + "a be", + "ab e", + "ĉ i", + "Ġ burn", + "Ġb urn", + "Ġbu rn", + "Ġbur n", + "Ġs ociety", + "Ġsoci ety", + "C ache", + "Ca che", + "Ġ Security", + "ĠS ecurity", + "ĠSe curity", + "ĠSec urity", + ". models", + ".model s", + ".mod els", + ".mode ls", + "ĠWARRANT Y", + "_ up", + "_u p", + "ce ive", + "Ġ clients", + "Ġc lients", + "Ġcl ients", + "Ġclient s", + "Ġcli ents", + ". Tr", + ".T r", + "Ġprovid ing", + "Ġprov iding", + "Ġr out", + "Ġro ut", + "Ġrou t", + "m aterial", + "mat erial", + "mate rial", + "Ġ ||Ċ", + "Ġ| |Ċ", + "Ġ|| Ċ", + "Ġ Ser", + "ĠS er", + "ĠSe r", + "Ġ Office", + "ĠOff ice", + "FT WARE", + "Ġ '$", + "Ġ' $", + "Ġf oc", + "Ġfo c", + "Ġex cell", + "Ġexc ell", + "Ġexcel l", + "Ġexce ll", + "Ġ cat", + "Ġc at", + "Ġca t", + "n ormal", + "norm al", + "nor mal", + "Ġd etermine", + "Ġdeter mine", + "Ġdetermin e", + "Ġdeterm ine", + "ĉ uint", + "ĉu int", + "ĉui nt", + "P ane", + "Pa ne", + "Pan e", + "Ġ employees", + "Ġemploy ees", + "Ġemployee s", + "Ġ Texas", + "ĠT exas", + "ĠTex as", + "Ġtr aff", + "Ġtra ff", + "Ġtraf f", + "Ġ Report", + "ĠRe port", + "ĠRep ort", + "ĠRepo rt", + "an ta", + "ant a", + "Ġ Box", + "ĠB ox", + "ĠBo x", + "Ġ django", + "Ġd jango", + "Ġdj ango", + "Ġ partner", + "Ġp artner", + "Ġpart ner", + "E B", + "L INE", + "LI NE", + "LIN E", + "Ġfe eling", + "Ġfeel ing", + "Ġfee ling", + "Ġ civil", + "Ġc ivil", + "Ġci vil", + "Ġciv il", + "( float", + "(f loat", + "S ql", + "Sq l", + "Ġwould n", + ". init", + ".in it", + ".i nit", + ".ini t", + ". left", + ".l eft", + ".le ft", + "- v", + "_ level", + "_le vel", + "' }", + "A F", + "Ġ loading", + "Ġlo ading", + "Ġload ing", + "Ġloa ding", + "Ġ Only", + "ĠOn ly", + "Ġ cookies", + "Ġc ookies", + "Ġco okies", + "Ġcook ies", + "Ġcookie s", + "Ġ Gl", + "ĠG l", + "C O", + "Ġ strategy", + "Ġstr ategy", + "Ġstrateg y", + "Ġstrate gy", + "(' ./", + "('. /", + "Ġ ship", + "Ġs hip", + "Ġsh ip", + "p oses", + "pos es", + "pose s", + "po ses", + "Ġ signal", + "Ġs ignal", + "Ġsign al", + "Ġsig nal", + "Ġ alpha", + "Ġal pha", + "Ġalph a", + ". pop", + ".p op", + ".po p", + "R adius", + "Rad ius", + "Radi us", + "Ġ replace", + "Ġre place", + "Ġrep lace", + "Ġrepl ace", + "_ DIR", + "_D IR", + "_DI R", + "c ounter", + "co unter", + "count er", + "bserv able", + "e la", + "el a", + "W eight", + "We ight", + "Wei ght", + "h ash", + "ha sh", + "has h", + "b ose", + "bo se", + "bos e", + "f x", + "Ġ Email", + "ĠE mail", + "ĠEm ail", + "Ġ refer", + "Ġre fer", + "Ġref er", + "local host", + "_ RO", + "_R O", + "i ques", + "ique s", + "iqu es", + "iq ues", + "S tep", + "St ep", + "Ste p", + "Ġ ahead", + "Ġa head", + "Ġah ead", + "( View", + "(V iew", + "Ġ Services", + "ĠS ervices", + "ĠService s", + "ĠServ ices", + "Ġ Json", + "ĠJ son", + "ĠJs on", + "ess or", + "esso r", + "Ġ pun", + "Ġp un", + "Ġpu n", + "Ġ appropriate", + "Ġapp ropriate", + "Ġappropri ate", + "a kers", + "ak ers", + "ake rs", + "aker s", + "o sen", + "os en", + "ose n", + "p osing", + "pos ing", + "po sing", + "Ġ agent", + "Ġa gent", + "Ġag ent", + "Ġage nt", + "f c", + "Ġ transfer", + "Ġtrans fer", + "Ġtransf er", + "Ġ invalid", + "Ġin valid", + "Ġinval id", + "Ġ Research", + "ĠRe search", + "ĠRes earch", + "Vert ex", + "Ver tex", + "Ġ gay", + "Ġg ay", + "Ġga y", + "Ġ journal", + "Ġj ournal", + "Ġjo urnal", + "Ġjour nal", + "[ x", + "Ġ \"\",Ċ", + "Ġ\" \",Ċ", + "Ġ\"\" ,Ċ", + "Ġ\"\", Ċ", + "Ġ Well", + "ĠW ell", + "ĠWe ll", + "ĠWel l", + ". Tasks", + ".T asks", + ".Task s", + "S pec", + "Sp ec", + "Spe c", + "Ġ ol", + "Ġo l", + "Ġs pend", + "Ġsp end", + "Ġspe nd", + "Ġ Australia", + "ĠA ustralia", + "ĠAustral ia", + "ĠAustr alia", + "M atch", + "Mat ch", + ".j unit", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ MAX", + "ĠM AX", + "ĠMA X", + "iz able", + "iza ble", + "cl usive", + "clus ive", + "_ valid", + "_val id", + "_va lid", + "Ġ quarter", + "Ġqu arter", + "Ġquar ter", + "Ġquart er", + "y an", + "ya n", + "0 05", + "00 5", + "Ġ Edit", + "ĠE dit", + "ĠEd it", + "ar den", + "ard en", + "arde n", + "= new", + "=n ew", + "Ġ frag", + "Ġf rag", + "Ġfr ag", + "Ġfra g", + "B it", + "Bi t", + "z i", + "a ine", + "ain e", + "ai ne", + "u dd", + "ud d", + ". Object", + ".O bject", + ".Obj ect", + "de bug", + "deb ug", + "Ġ cash", + "Ġc ash", + "Ġca sh", + "Ġcas h", + "_ IM", + "_I M", + "Ġ een", + "Ġe en", + "Ġee n", + "Ġ commercial", + "Ġcom mercial", + "Ġcomm ercial", + "Ġcommerc ial", + "Ġ Video", + "ĠV ideo", + "ĠVi deo", + "ĠVid eo", + "ĠVide o", + "l oader", + "lo ader", + "load er", + "Ġ fixed", + "Ġf ixed", + "Ġfix ed", + "Ġfi xed", + "Ġ applications", + "Ġapp lications", + "Ġapplication s", + "Ġapplic ations", + "Ġappl ications", + "Ġ _,", + "Ġ_ ,", + "Ġ Russia", + "ĠR ussia", + "ĠRuss ia", + "it ect", + "ite ct", + "_ (", + "Ġ Block", + "ĠB lock", + "ĠBl ock", + "ĠBlo ck", + "ĠBloc k", + "Ġ san", + "Ġs an", + "Ġsa n", + "Ġ Tom", + "ĠT om", + "ĠTo m", + "Ġ perhaps", + "Ġper haps", + "Ġ sig", + "Ġs ig", + "Ġsi g", + "le vant", + "lev ant", + "Ġc orpor", + "Ġcor por", + "Ġcorp or", + "Ġcorpo r", + "at aset", + "ata set", + "atas et", + "r onic", + "ro nic", + "ron ic", + "x e", + "Ġ eth", + "Ġe th", + "Ġet h", + "S ome", + "So me", + "Som e", + "p op", + "po p", + "_ OK", + "_O K", + "Ġt end", + "Ġte nd", + "Ġten d", + ". Res", + ".R es", + ".Re s", + "_ and", + "_a nd", + "_an d", + "Ġ reviews", + "Ġre views", + "Ġreview s", + "Ġ wild", + "Ġw ild", + "Ġwi ld", + "Ġwil d", + "1 17", + "11 7", + "Ġ degree", + "Ġd egree", + "Ġde gree", + "Ġdeg ree", + ". O", + ". objects", + ".object s", + ".obj ects", + "_ args", + "_arg s", + "_ar gs", + "n il", + "ni l", + "Ġ disabled", + "Ġdis abled", + "Ġdisable d", + "P arent", + "Par ent", + "Pa rent", + "Paren t", + "Ġ notes", + "Ġn otes", + "Ġnot es", + "Ġno tes", + "Ġnote s", + "Ġ \"\"Ċ", + "Ġ\" \"Ċ", + "Ġ\"\" Ċ", + "( state", + "(st ate", + "(stat e", + "i strict", + "istr ict", + "Ġ logging", + "Ġlog ging", + ". IO", + ".I O", + "Ġ Mal", + "ĠM al", + "ĠMa l", + "D M", + "Ġ xml", + "Ġx ml", + "Ġxm l", + "Ġ Robert", + "ĠRob ert", + "ĠRo bert", + "e len", + "el en", + "ele n", + "l ayout", + "lay out", + "f ol", + "fo l", + "' ]))", + "'] ))", + "']) )", + ", b", + "Ġ Jer", + "ĠJ er", + "ĠJe r", + "f ilename", + "file name", + "fi lename", + "fil ename", + "Ġ fan", + "Ġf an", + "Ġfa n", + "Ġ Custom", + "ĠC ustom", + "ĠCust om", + "= \"\"", + "=\" \"", + "Ġ Die", + "ĠD ie", + "ĠDi e", + "B undle", + ". utils", + ".util s", + ".ut ils", + "Ġ trip", + "Ġt rip", + "Ġtr ip", + "Ġtri p", + "M B", + "Ġ soft", + "Ġs oft", + "Ġso ft", + "Ġsof t", + "_ MODE", + "_M ODE", + "_MO DE", + "_MOD E", + "Ġapp licable", + "Ġapplic able", + "Ġappl icable", + "Ġ upper", + "Ġu pper", + "Ġup per", + "Ġupp er", + "ER VER", + "ERV ER", + "ERVE R", + "_ al", + "_a l", + "_ LOG", + "_L OG", + "_LO G", + "H ere", + "He re", + "Her e", + "w p", + "Ġ Server", + "ĠS erver", + "ĠSer ver", + "ĠServ er", + "ĠServe r", + "Ġ Client", + "ĠC lient", + "ĠCl ient", + "ĠCli ent", + "Ġ chem", + "Ġc hem", + "Ġch em", + "Ġche m", + "S croll", + "Sc roll", + "Scr oll", + "Ġ highest", + "Ġh ighest", + "Ġhigh est", + "Ġhi ghest", + "Ġ Select", + "ĠS elect", + "ĠSe lect", + "ĠSel ect", + "ĠSele ct", + "Ġ \"@", + "Ġ\" @", + "Ġ Why", + "ĠW hy", + "ĠWh y", + "S ec", + "Se c", + "h eel", + "he el", + "hee l", + "O peration", + "Oper ation", + "Op eration", + "Opera tion", + "Ġ connected", + "Ġconn ected", + "Ġconnect ed", + "ir med", + "irm ed", + "Ġcit iz", + "Ġ Che", + "ĠC he", + "ĠCh e", + "Ġ forces", + "Ġfor ces", + "Ġforce s", + "Ġforc es", + "Ġ www", + "Ġw ww", + "Ġww w", + "R oot", + "Ro ot", + "AN CE", + "ANC E", + "M any", + "Man y", + "Ma ny", + "i cip", + "ic ip", + "ici p", + "r gan", + "rg an", + "2 20", + "22 0", + "Ġ Tor", + "ĠT or", + "ĠTo r", + "Ġ Press", + "ĠP ress", + "ĠPr ess", + "ĠPres s", + "ĠPre ss", + "Ġ Mor", + "ĠM or", + "ĠMo r", + "- line", + "-l ine", + "-li ne", + "u led", + "ul ed", + "ule d", + "> \\", + "Ġ thus", + "Ġt hus", + "Ġth us", + "Ġthu s", + "Ġ Register", + "ĠReg ister", + "h ol", + "ho l", + "Ġ Chinese", + "ĠCh inese", + "ĠChin ese", + "Ġ posted", + "Ġpos ted", + "Ġpost ed", + "Ġpo sted", + "Ġposte d", + "Ġm agn", + "Ġmag n", + "Ġma gn", + "ab ilities", + "abil ities", + "abilit ies", + "Ġd isease", + "Ġdis ease", + "Ġdise ase", + "Ġrem ains", + "Ġremain s", + "Ġ Prof", + "ĠP rof", + "ĠPro f", + "ĠPr of", + "- form", + "-f orm", + "-for m", + "Ġ cin", + "Ġc in", + "Ġci n", + "o rgan", + "or gan", + "org an", + "i cate", + "ic ate", + "ica te", + "Ġ stress", + "Ġst ress", + "Ġstr ess", + "Ġstre ss", + "] *", + "Ġ ----------------------------------------------------------------", + "Ġ---------------- ------------------------------------------------", + "Ġ------------------------------------------------ ----------------", + "Ġ-------------------------------- --------------------------------", + "Ġ------------------------------------------------------------ ----", + "_ context", + "_con text", + "_cont ext", + "or ry", + "orr y", + "Ġd ied", + "Ġdi ed", + "Ġdie d", + "m at", + "ma t", + "Ġ starts", + "Ġst arts", + "Ġstart s", + "Ġstar ts", + "Ġsta rts", + ". Message", + ".M essage", + "Ġ runs", + "Ġr uns", + "Ġrun s", + "Ġru ns", + "Ġ guide", + "Ġg uide", + "Ġgu ide", + "Ġguid e", + "Ġgui de", + "Ġw arranty", + "Ġwarrant y", + "ent ials", + "ential s", + "enti als", + "d ict", + "di ct", + "dic t", + "Ġ Size", + "ĠS ize", + "ĠSi ze", + "ĠSiz e", + "u ler", + "ul er", + "ule r", + "Ġres ponsible", + "Ġrespons ible", + "_ SET", + "_S ET", + "_SE T", + "Ġcont aining", + "Ġcontain ing", + "Ġconta ining", + "Ġ Price", + "ĠP rice", + "ĠPr ice", + "ĠPri ce", + "| |", + "3 50", + "35 0", + "F S", + "Ġ emp", + "Ġe mp", + "Ġem p", + "_ button", + "_b utton", + "_but ton", + "( uint", + "(u int", + "(ui nt", + "Ġs uff", + "Ġsu ff", + "Ġsuf f", + "p th", + "pt h", + "Ġdef initely", + "Ġdefinit ely", + "Ġdefinite ly", + "p ute", + "put e", + "pu te", + "Ġ marketing", + "Ġmark eting", + "Ġmarket ing", + "Ġ WH", + "ĠW H", + "Ġ Sie", + "ĠS ie", + "ĠSi e", + "+ =", + "OL OR", + "Ġ consult", + "Ġcons ult", + "Ġconsul t", + "Ġ signed", + "Ġs igned", + "Ġsign ed", + "Ġsig ned", + "Ġ sequence", + "Ġse quence", + "Ġsequ ence", + "l ee", + "le e", + "Ġ requirements", + "Ġrequire ments", + "Ġrequirement s", + "h y", + "Ex press", + "Exp ress", + "Expr ess", + "M T", + "s ey", + "se y", + "Ġ ult", + "Ġu lt", + "Ġul t", + "å ®", + "ellig ence", + "elli gence", + "Ġ analy", + "Ġan aly", + "Ġanal y", + "Ġana ly", + "Ġ dress", + "Ġd ress", + "Ġdr ess", + "Ġdre ss", + "e ngine", + "eng ine", + "engin e", + "Ġ Great", + "ĠG reat", + "ĠGr eat", + "ĠGre at", + "Ġ Android", + "ĠAnd roid", + "ĠAndr oid", + "Ġ Alex", + "ĠA lex", + "ĠAl ex", + "ĠAle x", + "m ode", + "mod e", + "mo de", + "D ictionary", + ". Date", + ".D ate", + "ä ½", + "V ICE", + "VI CE", + "VIC E", + "Ġf amilies", + "Ġfam ilies", + "Ġfamil ies", + "Ġ Russian", + "ĠR ussian", + "ĠRuss ian", + "ĠRussia n", + "ĠRus sian", + "Ġ Times", + "ĠT imes", + "ĠTime s", + "ĠTim es", + "ĠTi mes", + ". call", + ".c all", + ".ca ll", + ".cal l", + "$ (", + "Pro file", + "Pr ofile", + "Prof ile", + "Ġ folder", + "Ġf older", + "Ġfol der", + "Ġfold er", + "Ġfo lder", + "c hes", + "ch es", + "che s", + "Ġl egis", + "Ġle gis", + "Ġleg is", + "_ row", + "_r ow", + "_ro w", + "u nes", + "un es", + "une s", + "Ù Ħ", + "Ġ }).", + "Ġ} ).", + "Ġ}) .", + "As sert", + "Ass ert", + "a gen", + "ag en", + "age n", + "Ġ Hand", + "ĠH and", + "ĠHa nd", + "ĠHan d", + "I ter", + "It er", + "Ġbig gest", + "o reach", + "or each", + "ore ach", + "orea ch", + "Ġp olic", + "Ġpol ic", + "Ġpo lic", + "Ġ permissions", + "Ġper missions", + "Ġpermission s", + "Ġperm issions", + "Ġsh owed", + "Ġshow ed", + "Ġsho wed", + "Ġ Element", + "ĠE lement", + "ĠEl ement", + "ĠEle ment", + "ĠElem ent", + "Ġ topic", + "Ġt opic", + "Ġto pic", + "Ġtop ic", + "âĢĶ âĢĶ", + "r oad", + "ro ad", + "Ġ Bank", + "ĠB ank", + "ĠBa nk", + "ĠBan k", + "re cord", + "rec ord", + "Ġ partners", + "Ġpart ners", + "Ġpartner s", + "Ġ Ref", + "ĠR ef", + "ĠRe f", + "ess ions", + "ession s", + "Ġas sess", + "Ġass ess", + "Ġasses s", + "U ST", + "US T", + "Ġ Party", + "ĠP arty", + "ĠPart y", + "ĠPar ty", + "p rodu", + "pr odu", + "pro du", + "prod u", + "L C", + "Ġ ul", + "Ġu l", + ". form", + ".f orm", + ".for m", + "h ide", + "hi de", + "hid e", + "c opy", + "co py", + "cop y", + "U TF", + "UT F", + "Ġ SOFTWARE", + "ĠSO FTWARE", + "čĊ čĊčĊ", + "čĊčĊ čĊ", + "Ġ Lin", + "ĠL in", + "ĠLi n", + "u na", + "un a", + "u gar", + "ug ar", + "uga r", + "Ġ administration", + "Ġadmin istration", + "Ġadministr ation", + "Ġ opening", + "Ġop ening", + "Ġopen ing", + "Ġ scan", + "Ġs can", + "Ġsc an", + "Ġsca n", + "Ġ continued", + "Ġcontin ued", + "Ġcontinue d", + "Ġcontinu ed", + "com ponent", + "comp onent", + ". sp", + ".s p", + "Ġhapp ens", + "Ġhappen s", + "um my", + "umm y", + "Ġ PR", + "ĠP R", + ". File", + ".F ile", + "Ġ Download", + "ĠD ownload", + "ĠDown load", + "Lo ading", + "Load ing", + "d i", + "Ġ waiting", + "Ġwait ing", + "Ġwa iting", + "_ ADD", + "_A DD", + "_AD D", + "T ab", + "Ta b", + ". querySelector", + ".query Selector", + "Ġe conomy", + "Ġecon omy", + "Ġeconom y", + "Ġec onomy", + "Ġ French", + "ĠF rench", + "ĠFr ench", + "t xt", + "tx t", + "Ġ fant", + "Ġf ant", + "Ġfa nt", + "Ġfan t", + "_ ;Ċ", + "_; Ċ", + "H older", + "Hold er", + "Ho lder", + "Hol der", + "S H", + "0 04", + "00 4", + "Ġ numpy", + "Ġn umpy", + "Ġnum py", + "Ġ street", + "Ġst reet", + "Ġstre et", + "Ġ male", + "Ġm ale", + "Ġma le", + "Ġmal e", + "\\ Model", + "\\M odel", + "an ging", + "ang ing", + "angi ng", + "3 33", + "33 3", + "Ġ Bill", + "ĠB ill", + "ĠBi ll", + "ĠBil l", + "Ġpre viously", + "Ġprevious ly", + "Ġprev iously", + "B I", + "Ġ Secret", + "ĠS ecret", + "ĠSe cret", + "ĠSec ret", + "Ġ mist", + "Ġm ist", + "Ġmis t", + "Ġmi st", + "Ġ Field", + "ĠF ield", + "ĠFi eld", + "u ps", + "up s", + "Ġ Process", + "ĠP rocess", + "ĠPro cess", + "ĠProc ess", + "Ġ kept", + "Ġk ept", + "Ġke pt", + "Ġkep t", + "Ġ OT", + "ĠO T", + "Ġ traditional", + "Ġtrad itional", + "Ġtradition al", + ". i", + "a min", + "am in", + "ami n", + "Ġh elps", + "Ġhelp s", + "Ġhel ps", + "A ny", + "An y", + "or igin", + "orig in", + "ori gin", + "il ters", + "ilter s", + "ilt ers", + "j u", + "d esc", + "de sc", + "des c", + "Ġ Account", + "ĠA ccount", + "ĠAc count", + "ĠAcc ount", + "Ġ )čĊ", + "Ġ) čĊ", + "k top", + "kt op", + "ol ly", + "oll y", + "Ġ fs", + "Ġf s", + "Ġ ê", + "Ġ ut", + "Ġu t", + "Ġ central", + "Ġc entral", + "Ġcent ral", + "Ġcentr al", + "( test", + "(t est", + "(te st", + ". An", + ".A n", + "Ġs atisf", + "G R", + "Ġ Full", + "ĠF ull", + "ĠFu ll", + "ĠFul l", + "Ġ heat", + "Ġh eat", + "Ġhe at", + "i ber", + "ib er", + "ibe r", + "Ġ onto", + "Ġon to", + "Ġont o", + "m os", + "mo s", + "S chema", + "Sch ema", + "Ġ factory", + "Ġf actory", + "Ġfact ory", + "Ġfactor y", + "Ġfacto ry", + "\" .$", + "\". $", + "a ws", + "aw s", + "St atement", + "State ment", + "Stat ement", + "( target", + "(t arget", + "ĉ new", + "ĉn ew", + ". be", + ".b e", + "Ġ guest", + "Ġg uest", + "Ġgu est", + "Ġ mal", + "Ġm al", + "Ġma l", + "A RY", + "AR Y", + "Ġre ached", + "Ġreach ed", + "Ġ mouse", + "Ġm ouse", + "Ġmo use", + "Ġmou se", + "Ġ challenge", + "Ġch allenge", + "Ġchall enge", + "Ġchalleng e", + "ĉ double", + "ĉd ouble", + "ĉdo uble", + "Ġ Tem", + "ĠT em", + "ĠTe m", + "Ġ terror", + "Ġt error", + "Ġte rror", + "Ġter ror", + "Ġterr or", + "Ġ extract", + "Ġex tract", + "Ġext ract", + "Ġextra ct", + "Ġextr act", + "_ TO", + "_T O", + "Ġse parate", + "Ġsepar ate", + "Ġseparat e", + "Ġ mir", + "Ġm ir", + "Ġmi r", + "h elp", + "he lp", + "hel p", + "Ġ capacity", + "Ġcap acity", + "Ġcapac ity", + "Ġcapacit y", + "Ġ Property", + "ĠP roperty", + "ĠPro perty", + "ĠProp erty", + "ĠProper ty", + "k an", + "ka n", + "_ create", + "_c reate", + "_cre ate", + "Ġ Light", + "ĠL ight", + "ĠLi ght", + "ĠLig ht", + ". parent", + ".p arent", + ".par ent", + ".pa rent", + "Ġunder standing", + "Ġunderstand ing", + "Ġunderst anding", + "Ġe asier", + "Ġeas ier", + "Ġ |=", + "Ġ| =", + "Ġ enh", + "Ġe nh", + "Ġen h", + "Ġ fat", + "Ġf at", + "Ġfa t", + "Ġpro test", + "Ġprot est", + "Ġprote st", + "a mm", + "am m", + "_ AT", + "_A T", + "- of", + "-o f", + "i ls", + "il s", + "Ġ Oh", + "ĠO h", + "Ġ psych", + "Ġps ych", + "Ġpsy ch", + "Ġ $.", + "Ġ$ .", + "i nds", + "in ds", + "ind s", + "Ġ relative", + "Ġrel ative", + "Ġrelativ e", + "Ġrelat ive", + "s hop", + "sh op", + "s hort", + "sh ort", + "Ġ Sand", + "ĠS and", + "ĠSan d", + "ĠSa nd", + "2 10", + "21 0", + "u estion", + "ues tion", + "uest ion", + "Ġf ear", + "Ġfe ar", + "/ ĊĊ", + "/Ċ Ċ", + ". context", + ".con text", + ".cont ext", + "Ġ schools", + "Ġschool s", + "Ġsch ools", + "Ġscho ols", + "Ġ serve", + "Ġs erve", + "Ġse rve", + "Ġser ve", + "Ġserv e", + "z one", + "zo ne", + "zon e", + "_ db", + "_d b", + "Ġmajor ity", + "ex ample", + "exam ple", + "Ġ lang", + "Ġl ang", + "Ġla ng", + "Ġlan g", + "ĉ ĠĠ", + "ĉĠ Ġ", + "Reg ister", + "e ndo", + "en do", + "end o", + "Ġ processing", + "Ġp rocessing", + "Ġprocess ing", + "Ġproces sing", + "_ template", + "_t emplate", + "_temp late", + "_tem plate", + "- user", + "-use r", + "-us er", + "-u ser", + "Ġ eg", + "Ġe g", + "C OM", + "CO M", + "Ġ Blue", + "ĠB lue", + "ĠBl ue", + "ĠBlu e", + "i ro", + "ir o", + "Ġ remote", + "Ġrem ote", + "Ġremot e", + "Ġ IT", + "ĠI T", + "# !/", + "#! /", + "Ġred istrib", + "Ġredis trib", + "1 24", + "12 4", + "r az", + "ra z", + "Ġ Since", + "ĠS ince", + "ĠSi nce", + "ĠSin ce", + "Ġ Tur", + "ĠT ur", + "ĠTu r", + "1 35", + "13 5", + "Back ground", + "= ==", + "== =", + "Ġ reflect", + "Ġref lect", + "Ġrefl ect", + "Ġp ros", + "Ġpro s", + "Ġpr os", + "c md", + "cm d", + "Ġw hom", + "Ġwh om", + "Ġwho m", + "Com pat", + "Comp at", + "Ġ Are", + "ĠA re", + "ĠAr e", + "Id entifier", + "Ident ifier", + "ĠT hom", + "ĠTh om", + "_ port", + "_p ort", + "_po rt", + "_por t", + "g u", + "Ġ monitor", + "Ġm onitor", + "Ġmon itor", + "r m", + "Ġ patient", + "Ġp atient", + "Ġpat ient", + "ver ter", + "vert er", + "verte r", + "Ġ gain", + "Ġg ain", + "Ġga in", + "- ui", + "-u i", + "I nst", + "In st", + "Ins t", + "Ġd ies", + "Ġdi es", + "Ġdie s", + "1 18", + "11 8", + "A rea", + "Ar ea", + "Are a", + "_ filter", + "_f ilter", + "_fil ter", + "_filt er", + "Ġg rat", + "Ġgr at", + "Ġgra t", + "Ġre ality", + "Ġreal ity", + "ord inate", + "ordin ate", + "ol ved", + "olve d", + "olv ed", + "Cont act", + "Conta ct", + "Ġcom pliance", + "Ġcompl iance", + "_ or", + "_o r", + "Ġ Var", + "ĠV ar", + "ĠVa r", + "d l", + "Ġ append", + "Ġapp end", + "Ġap pend", + "Ġappe nd", + "G ER", + "GE R", + "( max", + "(m ax", + ". render", + ".re nder", + ".r ender", + "Ġ dynamic", + "Ġd ynamic", + "Ġdynam ic", + "Ġdyn amic", + "ordin ates", + "ordinate s", + "_ options", + "_option s", + "_o ptions", + "_opt ions", + "_ column", + "_c olumn", + "_col umn", + "Ġb atter", + "Ġbatt er", + "Ġbat ter", + "s pace", + "sp ace", + "spa ce", + "L a", + "Ġ Source", + "ĠS ource", + "ĠSour ce", + "/ bin", + "/b in", + "Ġ dos", + "Ġd os", + "Ġdo s", + "Ġ Board", + "ĠB oard", + "ĠBo ard", + "Ġ Thread", + "ĠT hread", + "ĠTh read", + "ĠThr ead", + "Ġ AL", + "ĠA L", + "( config", + "(con fig", + "(conf ig", + "1 44", + "14 4", + "Ġ Mer", + "ĠM er", + "ĠMe r", + "Ġm iles", + "Ġmil es", + "Ġmi les", + "Ġmile s", + "_ header", + "_head er", + "_he ader", + "ETH OD", + "i zz", + "iz z", + "Ġb enefit", + "Ġbenef it", + "Ġbene fit", + "Ġ integr", + "Ġint egr", + "Ġinteg r", + "Ġinte gr", + "( current", + "(c urrent", + "(cur rent", + "(curr ent", + "u lo", + "ul o", + ". default", + ".d efault", + ".de fault", + ".def ault", + "Ġ Div", + "ĠD iv", + "ĠDi v", + "Ġ ton", + "Ġt on", + "Ġto n", + "o th", + "ot h", + "er vation", + "erv ation", + "erva tion", + "e dom", + "ed om", + "edo m", + "Ġ baby", + "Ġb aby", + "Ġba by", + "Ġbab y", + "ce ived", + "ceive d", + ". top", + ".t op", + ".to p", + "rior ity", + "Ġ Local", + "ĠL ocal", + "ĠLo cal", + "ĠLoc al", + "r iage", + "ri age", + "ria ge", + "Ġ attacks", + "Ġatt acks", + "Ġattack s", + "Ġ hospital", + "Ġh ospital", + "Ġhosp ital", + "1 68", + "16 8", + "Ġ female", + "Ġf emale", + "Ġfe male", + "Ġfem ale", + "Ġ Login", + "ĠLog in", + "ĠLo gin", + "ĠF lor", + "ĠFl or", + "ĠFlo r", + "Ġ chain", + "Ġch ain", + "Ġcha in", + "Ġchai n", + "ash ion", + "ashi on", + "Text ure", + "Tex ture", + "S ave", + "Sa ve", + "Ġ farm", + "Ġf arm", + "Ġfa rm", + "Ġfar m", + ". contains", + ".con tains", + ".cont ains", + ". Test", + ".T est", + ".Te st", + "Ġkn ows", + "Ġknow s", + "Ġgener ally", + "Ġgeneral ly", + "ip eline", + "ipe line", + "ipel ine", + "Ġme ant", + "Ġmean t", + "e ncia", + "en cia", + "enc ia", + "enci a", + "Ġn icht", + "Ġni cht", + "Ġnic ht", + "Ġnich t", + "Ġ contents", + "Ġcont ents", + "Ġcontent s", + "Ġconten ts", + "Ġconte nts", + "P M", + "ched ule", + "( line", + "(l ine", + "(li ne", + "C G", + "j ob", + "jo b", + "Ġ Real", + "ĠRe al", + "u er", + "ue r", + "f irm", + "fi rm", + "fir m", + "Ġ Ø", + "e tro", + "et ro", + "etr o", + "\" `Ċ", + "\"` Ċ", + "Ġ speech", + "Ġs peech", + "Ġspe ech", + "Ġ thr", + "Ġt hr", + "Ġth r", + "f oreach", + "fo reach", + "fore ach", + "for each", + "Ġ warn", + "Ġw arn", + "Ġwar n", + "Ġwa rn", + "ĉ l", + "Ġ heavy", + "Ġhe avy", + "Ġheav y", + "< li", + " )", + "_ char", + "_c har", + "_ch ar", + "re source", + "res ource", + "Ġ episode", + "Ġep isode", + "Ġepis ode", + "Ġ '_", + "Ġ' _", + "Ġ Es", + "ĠE s", + "Ġ Earth", + "ĠE arth", + "ĠEar th", + "Âł Âł", + "UP DATE", + "1 33", + "13 3", + "Ġ Sou", + "ĠS ou", + "ĠSo u", + "u is", + "ui s", + "t ypes", + "type s", + "ty pes", + "typ es", + "Ġ mas", + "Ġm as", + "Ġma s", + "Ġ fav", + "Ġf av", + "Ġfa v", + "Ġ construct", + "Ġcon struct", + "Ġconstr uct", + "_ rate", + "_r ate", + "_ra te", + "_rat e", + "e ras", + "er as", + "era s", + "Ġ |Ċ", + "Ġ| Ċ", + "rop erties", + "Ġ external", + "Ġex ternal", + "Ġext ernal", + "Ġextern al", + "Ġexter nal", + "Ġapp lied", + "Ġap plied", + "Ġappl ied", + "Ġ prefix", + "Ġp refix", + "Ġpre fix", + "Ġpref ix", + "o ted", + "ot ed", + "ote d", + "l ers", + "le rs", + "ler s", + "Ġ cold", + "Ġc old", + "Ġco ld", + "Ġcol d", + "Ġ SP", + "ĠS P", + "Ġ Church", + "ĠCh urch", + "ĠChu rch", + "Ġ Output", + "ĠOut put", + "l osed", + "lo sed", + "lose d", + "los ed", + "ç ļ", + "if icate", + "ific ate", + "ifi cate", + "ifica te", + "o peration", + "op eration", + "ope ration", + "oper ation", + "he rit", + "her it", + "x FF", + "xF F", + ". env", + ".e nv", + ".en v", + "_ err", + "_e rr", + "_er r", + "o sh", + "os h", + "D irection", + "Dir ection", + "Direct ion", + "Di rection", + "Dire ction", + "C ancel", + "Can cel", + "Ġ Frank", + "ĠF rank", + "ĠFr ank", + "ĠFra nk", + "ĠFran k", + "Ġ finding", + "Ġf inding", + "Ġfind ing", + "Ġfin ding", + ". )ĊĊ", + ".) ĊĊ", + ".)Ċ Ċ", + "Ġ router", + "Ġr outer", + "Ġro uter", + "Ġroute r", + "Ġrout er", + "Ġrou ter", + "ãĥ »", + "s es", + "se s", + "Ġ crow", + "Ġc row", + "Ġcr ow", + "Ġcro w", + "= ='", + "== '", + "Ġ sand", + "Ġs and", + "Ġsa nd", + "Ġsan d", + "Ġ rid", + "Ġr id", + "Ġri d", + "i ture", + "it ure", + "itu re", + "itur e", + "Ġ entre", + "Ġen tre", + "Ġent re", + "Ġentr e", + "Ġ observ", + "Ġo bserv", + "Ġob serv", + "Ġobs erv", + "Ġ vac", + "Ġv ac", + "Ġva c", + "ð Ł", + "- T", + "A rt", + "Ar t", + "n ight", + "ni ght", + ". search", + ".s earch", + ".se arch", + "Ġ exchange", + "Ġex change", + "Ġ district", + "Ġd istrict", + "Ġdi strict", + "Ġdistr ict", + ". os", + ".o s", + "Ġ department", + "Ġde partment", + "Ġdep artment", + "Ġdepart ment", + "Ġ documents", + "Ġdocument s", + "Ġdoc uments", + "Ġcent ury", + "Ġ Next", + "ĠN ext", + "ĠNe xt", + "ĠNex t", + "H ost", + "Ho st", + "ĠK IND", + "Ġs usp", + "Ġsu sp", + "Ġsus p", + "- P", + "r end", + "re nd", + "ren d", + ". em", + ".e m", + "u ite", + "ui te", + "uit e", + "i sters", + "is ters", + "ist ers", + "ister s", + "iste rs", + "( json", + "(j son", + "(js on", + "Ġ Ann", + "ĠA nn", + "ĠAn n", + "w t", + "a ti", + "at i", + "Ġ HTML", + "ĠHT ML", + "w hen", + "wh en", + "D irectory", + "Direct ory", + "Director y", + "Ġsh ut", + "< a", + "e dy", + "ed y", + "Ġ healthy", + "Ġhealth y", + "Ġheal thy", + "Ġ temperature", + "Ġt emperature", + "Ġtem perature", + "Ġtemper ature", + "Ġ Gen", + "ĠG en", + "ĠGe n", + "Ġ metal", + "Ġm etal", + "Ġme tal", + "Ġmet al", + "Ġmeta l", + "Ġ submit", + "Ġsub mit", + "Ġ DO", + "ĠD O", + "Ġat tract", + "Ġatt ract", + "Ġattr act", + "Ġ {};Ċ", + "Ġ{ };Ċ", + "Ġ{} ;Ċ", + "Ġ{}; Ċ", + "Ġ Word", + "ĠW ord", + "ĠWo rd", + "ĠWor d", + "Ġ ll", + "Ġl l", + "Ġse emed", + "Ġsee med", + "Ġseem ed", + "k o", + "I ED", + "IE D", + "Ġl abor", + "Ġla bor", + "Ġlab or", + ". Context", + ".Cont ext", + ".Con text", + "Ġ asset", + "Ġas set", + "Ġass et", + "y ou", + "yo u", + "Ġ cars", + "Ġc ars", + "Ġcar s", + "Ġca rs", + "Ġ Column", + "ĠC olumn", + "ĠCol umn", + "ĠColum n", + "Ġ ré", + "Ġr é", + "Ġ square", + "Ġs quare", + "Ġsqu are", + "Ġ NSString", + "ĠNS String", + "ĠNSS tring", + "âĢĿ ,", + "a pes", + "ap es", + "ape s", + ". ..Ċ", + ".. .Ċ", + "... Ċ", + "Ġ thanks", + "Ġth anks", + "Ġthan ks", + "Ġthank s", + "( props", + "(p rops", + "(pro ps", + "(pr ops", + "(prop s", + "Ġ tick", + "Ġt ick", + "Ġti ck", + "Ġtic k", + "Ġ experiment", + "Ġex periment", + "Ġexper iment", + "Ġexperi ment", + "Ġpr ison", + "Ġpri son", + "Ġpris on", + "t ree", + "tr ee", + "tre e", + "- text", + "-t ext", + "-te xt", + "Ġ IOException", + "ĠIO Exception", + "- width", + "-w idth", + "_ STATUS", + "_ST ATUS", + "_STAT US", + "f ast", + "fa st", + "fas t", + "- body", + "-b ody", + "-bo dy", + "- header", + "-head er", + "-he ader", + "Ġg uar", + "Ġgu ar", + "c rete", + "cre te", + "cret e", + "cr ete", + "Ġ Tim", + "ĠT im", + "ĠTi m", + "Ġcl early", + "Ġclear ly", + "Ġ Republican", + "ĠRepublic an", + "Ġ justify", + "Ġjust ify", + "и ÑĤ", + "ĉ ĠĠĠĠ", + "ĉĠĠĠ Ġ", + "ĉĠ ĠĠĠ", + "ĉĠĠ ĠĠ", + "c ache", + "ca che", + "cac he", + "; //", + ";/ /", + "Ġ presence", + "Ġpres ence", + "Ġf actors", + "Ġfact ors", + "Ġfa ctors", + "Ġfac tors", + "Ġfactor s", + "Ġfacto rs", + "Ġ employee", + "Ġe mployee", + "Ġemploy ee", + "] ))", + "]) )", + "M ember", + "Mem ber", + "Ġ selector", + "Ġse lector", + "Ġselect or", + "Ġsel ector", + "Ġsele ctor", + "b or", + "bo r", + "Ġ Mex", + "ĠM ex", + "ĠMe x", + "çļ Ħ", + "u tex", + "ut ex", + "ute x", + "_ tag", + "_t ag", + "_ta g", + "ail ure", + "Ġ Net", + "ĠN et", + "ĠNe t", + "Ġre li", + "Ġr eli", + "Ġrel i", + "E G", + "Ġ fprintf", + "Ġf printf", + "Ġ teen", + "Ġt een", + "Ġte en", + "Ġtee n", + "l oss", + "lo ss", + "los s", + "Ġle aving", + "1 34", + "13 4", + "De legate", + "Ġ beat", + "Ġb eat", + "Ġbe at", + "Ġ minute", + "Ġmin ute", + "Ġminut e", + "sub scribe", + "subs cribe", + "Ġred istribute", + "Ġredistrib ute", + "Ġredis tribute", + "Con stants", + "Constant s", + "Const ants", + "Ġc ancer", + "Ġcan cer", + "Ġcanc er", + "/ {", + "B L", + "Ġ span", + "Ġs pan", + "Ġsp an", + "Ġspa n", + "Ġ Child", + "ĠCh ild", + "ĠChi ld", + "C enter", + "Cent er", + "Ġ earth", + "Ġe arth", + "Ġear th", + "Y S", + "Ġ Level", + "ĠLe vel", + "ĠLev el", + "Ġ sea", + "Ġs ea", + "Ġse a", + ". support", + ".s upport", + ".sup port", + ". inner", + ".in ner", + ". Item", + ".I tem", + ".It em", + "il ling", + "ill ing", + "illi ng", + "illin g", + "Ġ ĠĠĠĊĠĠĠĠĊ", + "ĠĠ ĠĠĊĠĠĠĠĊ", + "ĠĠĠĠ ĊĠĠĠĠĊ", + "ĠĠĠ ĠĊĠĠĠĠĊ", + "ĠĠĠĠĊ ĠĠĠĠĊ", + "Ġ Label", + "ĠL abel", + "ĠLa bel", + "ĠLab el", + "3 20", + "32 0", + "Ġ Est", + "ĠE st", + "ĠEs t", + "( arg", + "(a rg", + "(ar g", + "1 45", + "14 5", + "bo Box", + "ĉ foreach", + "ĉf oreach", + "ĉfor each", + "c os", + "co s", + "F ailed", + "Fail ed", + "Fa iled", + "s wers", + "sw ers", + "swer s", + "E ditor", + "Ed itor", + "Edit or", + "r ont", + "ro nt", + "ron t", + "Ġ MP", + "ĠM P", + "ex pr", + "exp r", + "Ġ Life", + "ĠL ife", + "ĠLi fe", + "ĠLif e", + "Ġ ??", + "Ġ? ?", + "ö r", + "Ġ attend", + "Ġatt end", + "Ġatte nd", + "Ġ Que", + "ĠQ ue", + "ĠQu e", + "Ġ species", + "Ġs pecies", + "Ġsp ecies", + "Ġspec ies", + "Ġspe cies", + "Ġspeci es", + "- D", + "Ġ aus", + "Ġa us", + "Ġau s", + "Str uct", + "Ġadv antage", + "Ġadvant age", + "o ston", + "os ton", + "ost on", + "osto n", + "- block", + "-b lock", + "-bl ock", + "in itial", + "init ial", + "C RE", + "CR E", + "Ġtr uly", + "Ġ compare", + "Ġcom pare", + "Ġcomp are", + "Ġcompar e", + "or ney", + "orn ey", + "orne y", + "Ġ spect", + "Ġs pect", + "Ġsp ect", + "Ġspec t", + "Ġspe ct", + "F ull", + "Fu ll", + "b es", + "be s", + "Ġ visible", + "Ġv isible", + "Ġvis ible", + "Ġ mess", + "Ġm ess", + "Ġme ss", + "Ġmes s", + "st ances", + "stance s", + "sta nces", + "stan ces", + "Ġ cloud", + "Ġc loud", + "Ġcl oud", + "Ġclo ud", + "_ version", + "_v ersion", + "Ġf urn", + "Ġfur n", + "Ġfu rn", + "ic ago", + "ica go", + "L OW", + "LO W", + "Ġ traffic", + "Ġtraff ic", + "Ġtra ffic", + "Ġtraf fic", + "Ġ fol", + "Ġf ol", + "Ġfo l", + "ry pto", + "rypt o", + "Ġ declar", + "Ġde clar", + "Ġdec lar", + "Ġdecl ar", + "Ġ slot", + "Ġs lot", + "Ġsl ot", + "Ġslo t", + "Ġ Ext", + "ĠE xt", + "ĠEx t", + "Ġ England", + "ĠEng land", + "ĠEngl and", + "Ġ Under", + "ĠU nder", + "ĠUn der", + "ĠUnd er", + "Ġ ta", + "Ġt a", + "l etter", + "let ter", + "lette r", + "lett er", + "2 03", + "20 3", + "Ġoff icer", + "Ġoffic er", + "Ġoffice r", + "Ġ Donald", + "ĠD onald", + "ĠDon ald", + "Y es", + "Ye s", + "_ json", + "_j son", + "_js on", + "I TableView", + "IT ableView", + "Ġ USE", + "ĠU SE", + "ĠUS E", + "mploy ee", + "Ġop inion", + "Ġopin ion", + "Ġ Aut", + "ĠA ut", + "ĠAu t", + "b order", + "bor der", + "Ġad vice", + "Ġadv ice", + "Ġautom atically", + "Ġautomatic ally", + "Ġautomat ically", + "is co", + "isc o", + "Ġ mm", + "Ġm m", + ". vis", + ".v is", + "a ml", + "am l", + "Ġ initialize", + "Ġinitial ize", + "Ġ ({", + "Ġ( {", + "Ġ ;ĊĊ", + "Ġ; ĊĊ", + "Ġ;Ċ Ċ", + "Ġ generation", + "Ġg eneration", + "Ġgener ation", + "Ġgen eration", + "Ġgene ration", + "Ġgenera tion", + "Ġ bits", + "Ġb its", + "Ġbit s", + "Ġbi ts", + "cl ipse", + "clip se", + "Ġu nf", + "Ġun f", + "u tors", + "ut ors", + "uto rs", + "utor s", + "p lt", + "pl t", + "Ġ delta", + "Ġd elta", + "Ġdel ta", + "Ġdelt a", + "e stroy", + "est roy", + "estr oy", + "estro y", + "i sis", + "is is", + "isi s", + "< br", + "Ċ", + "'> Ċ", + "a pers", + "ap ers", + "ape rs", + "aper s", + "] (", + "cont inue", + "contin ue", + "s pec", + "sp ec", + "spe c", + "Ġ Road", + "ĠR oad", + "ĠRo ad", + "A SH", + "AS H", + "il iar", + "ili ar", + "ilia r", + "Ġcontin ues", + "Ġcontinue s", + "Ġcontinu es", + "Ġ appoint", + "Ġapp oint", + "Ġap point", + "Ġ #Ċ", + "Ġ# Ċ", + "Ġ Vir", + "ĠV ir", + "ĠVi r", + "Ġ ?>\"", + "Ġ? >\"", + "Ġ?> \"", + "Ġ bin", + "Ġb in", + "Ġbi n", + "} \",", + "}\" ,", + "go ing", + "e ach", + "ea ch", + "B D", + "1 85", + "18 5", + "Ġ Access", + "ĠA ccess", + "ĠAc cess", + "ĠAcc ess", + "D oc", + "Do c", + "Ġ Management", + "ĠMan agement", + "ĠManage ment", + "ĠMana gement", + "B ER", + "BE R", + "as ket", + "ask et", + ". getInstance", + ".get Instance", + ".getIn stance", + "1 29", + "12 9", + "Ġestablish ed", + "s ocket", + "so cket", + "sock et", + "soc ket", + "I NS", + "IN S", + "ĉ virtual", + "ĉv irtual", + "ĉ result", + "ĉres ult", + "RE AD", + "REA D", + "_ height", + "_h eight", + "_he ight", + "1 52", + "15 2", + "Ġ Font", + "ĠF ont", + "ĠFo nt", + "ĠFon t", + "Ġ ();Ċ", + "Ġ( );Ċ", + "Ġ() ;Ċ", + "Ġ(); Ċ", + "_ html", + "_h tml", + "_ht ml", + "Ġ neighbor", + "Ġne ighbor", + "Ġneighb or", + "Ġneigh bor", + "l or", + "lo r", + "Ġ gather", + "Ġg ather", + "Ġga ther", + "Ġ })ĊĊ", + "Ġ} )ĊĊ", + "Ġ})Ċ Ċ", + "Ġ}) ĊĊ", + "Ġ identity", + "Ġid entity", + "Ġide ntity", + "Ġident ity", + "Ġ fab", + "Ġf ab", + "Ġfa b", + "p adding", + "pad ding", + "Ġ Route", + "ĠR oute", + "ĠRo ute", + "ĠRou te", + "ĠRout e", + "Enumer able", + "Enum erable", + "à ´", + "Ġ forced", + "Ġfor ced", + "Ġforce d", + "Ġforc ed", + "/ jquery", + "/j query", + ". ĊĊĊĊĊĊ", + ".ĊĊ ĊĊĊĊ", + ".Ċ ĊĊĊĊĊ", + ".ĊĊĊĊ ĊĊ", + ".ĊĊĊ ĊĊĊ", + ".ĊĊĊĊĊ Ċ", + "res ents", + "resent s", + "rese nts", + "_ left", + "_l eft", + "_le ft", + ". Param", + ".P aram", + ".Par am", + "ĉ throw", + "ĉth row", + "Ġ Ham", + "ĠH am", + "ĠHa m", + "Ġevent ually", + "Ġeventual ly", + "a cer", + "ace r", + "ac er", + "p ub", + "pu b", + "Ġ tra", + "Ġt ra", + "Ġtr a", + "un ique", + "uni que", + "uniq ue", + "d el", + "de l", + "Ġ Florida", + "ĠFl orida", + "ĠFlor ida", + "Ġ Clean", + "ĠC lean", + "ĠCl ean", + "ĠCle an", + "x a", + "Ġ ·", + "Ġ ·", + "Ġ validate", + "Ġvalid ate", + "Ġvalida te", + "Vis ual", + "Ex pression", + "Exp ression", + "Express ion", + "Expr ession", + "_ func", + "_f unc", + "_fun c", + "_fu nc", + "m ember", + "mem ber", + "ĉ h", + "t rl", + "tr l", + "1 36", + "13 6", + "ĉ G", + "nap shot", + "Ġ PropTypes", + "ĠProp Types", + "v in", + "vi n", + "1 53", + "15 3", + "] )ĊĊ", + "]) ĊĊ", + "])Ċ Ċ", + "o wl", + "ow l", + "if ies", + "ifi es", + "ifie s", + "Ġ $('.", + "Ġ$ ('.", + "Ġ$( '.", + "Ġ$(' .", + "Ġ Context", + "ĠCon text", + "ĠCont ext", + "ĠConte xt", + "Ġ Toast", + "ĠTo ast", + ". Key", + ".K ey", + "Ġoff icers", + "Ġoffic ers", + "Ġoffice rs", + "Ġofficer s", + "/ n", + "s n", + "un defined", + "und efined", + "undef ined", + ". items", + ".i tems", + ".item s", + ".it ems", + "ut ow", + "uto w", + "a mage", + "am age", + "ama ge", + "Ġ accounts", + "Ġac counts", + "Ġaccount s", + "o okie", + "ook ie", + "oo kie", + "S ection", + "Se ction", + "Sec tion", + "ic ians", + "ici ans", + "ician s", + "icia ns", + "Ġad vis", + "Ġadv is", + "( is", + "(i s", + "[ :,", + "[: ,", + "Ġ France", + "ĠF rance", + "ĠFr ance", + "ĠFranc e", + "ĠFra nce", + "ĠFran ce", + "F unc", + "Fun c", + "Fu nc", + "ic ious", + "ici ous", + "icio us", + "Ġ tok", + "Ġt ok", + "Ġto k", + "Ch annel", + "Chan nel", + "Ġ AD", + "ĠA D", + "_ NUM", + "_N UM", + "Ġ timeout", + "Ġtime out", + "l emma", + "le mma", + "lem ma", + "r eme", + "re me", + "rem e", + "u j", + ". Al", + ".A l", + "u clear", + "uc lear", + "ucle ar", + "( os", + "(o s", + "( \"<", + "(\" <", + "[ Ċ", + "f etch", + "fet ch", + "Ġ bal", + "Ġb al", + "Ġba l", + "Ġ guid", + "Ġg uid", + "Ġgu id", + "Ġgui d", + "- align", + "-al ign", + "Ġ Write", + "ĠW rite", + "ĠWr ite", + "Ġ Once", + "ĠO nce", + "ĠOn ce", + "ĠOnc e", + "utow ired", + "OD ULE", + "Ġ pitch", + "Ġp itch", + "Ġpit ch", + "C F", + "by tes", + "byte s", + "byt es", + "Ġ Commission", + "ĠCom mission", + "ĠComm ission", + "Ġin cred", + "Ġincre d", + "Ġinc red", + "Ġincr ed", + "P ER", + "PE R", + "_ response", + "_res ponse", + "_resp onse", + "Ġ Los", + "ĠL os", + "ĠLo s", + "p arser", + "par ser", + "parse r", + "pars er", + "Ġ assume", + "Ġas sume", + "Ġass ume", + "Ġassum e", + ". Request", + ".Re quest", + "Ġ Token", + "ĠT oken", + "ĠTo ken", + "ĠTok en", + "_ position", + "_p osition", + "_pos ition", + "Ġ nom", + "Ġn om", + "Ġno m", + "- term", + "-t erm", + "-te rm", + "Ġ remaining", + "Ġrem aining", + "Ġremain ing", + "i ostream", + "io stream", + "Ġ pieces", + "Ġp ieces", + "Ġpie ces", + "Ġpiece s", + "a py", + "ap y", + "Ġ Less", + "ĠL ess", + "ĠLe ss", + "ĠLes s", + "r ange", + "ra nge", + "ran ge", + "rang e", + "um bn", + "umb n", + "p rise", + "pr ise", + "pri se", + "_ option", + "_op tion", + "_o ption", + "_opt ion", + "2 30", + "23 0", + "I mpl", + "Im pl", + "Imp l", + "k wargs", + "kw args", + "Ġbusiness es", + "Al ert", + "Ale rt", + "Ġpart ies", + "Ġpar ties", + "Ġpartie s", + "Ġparti es", + "Ġ Container", + "ĠCont ainer", + "Ġ Private", + "ĠPr ivate", + "ĠPriv ate", + "Ġ Plan", + "ĠP lan", + "ĠPl an", + "ĠPla n", + "Ġ registered", + "Ġregister ed", + "Ġregist ered", + "Ġ jour", + "Ġj our", + "Ġjo ur", + "Ġjou r", + "a cker", + "ack er", + "ac ker", + "е ни", + "ен и", + "/ >", + "c hat", + "ch at", + "cha t", + "s ect", + "se ct", + "sec t", + "Ġ creation", + "Ġc reation", + "Ġcre ation", + "Ġcreat ion", + "Ġcrea tion", + "ol utely", + "olute ly", + "olut ely", + "Ġ instant", + "Ġin stant", + "Ġins tant", + "Ġinst ant", + "Ġ delivery", + "Ġd elivery", + "Ġdel ivery", + "Ġdeliver y", + "i cken", + "ic ken", + "ick en", + "y es", + "ye s", + "1 63", + "16 3", + "Ġ Franc", + "ĠFr anc", + "ĠFra nc", + "ĠFran c", + "b ling", + "bl ing", + "e nda", + "en da", + "end a", + "[ (", + "_ range", + "_r ange", + "_ra nge", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "Ġ schedule", + "Ġs chedule", + "Ġsched ule", + "C onn", + "Con n", + "Co nn", + "Ġ thank", + "Ġth ank", + "Ġthan k", + "Ġtha nk", + "x d", + "Ġ hook", + "Ġh ook", + "Ġho ok", + "Ġ documentation", + "Ġdocument ation", + "Param eters", + "Parameter s", + "H ello", + "Hel lo", + "Hell o", + "v t", + "Ġ articles", + "Ġart icles", + "Ġarticle s", + "Ġartic les", + "Ġ west", + "Ġw est", + "Ġwe st", + "Ġwes t", + "d efined", + "def ined", + "define d", + ". select", + ".s elect", + ".se lect", + ".sel ect", + "ok ens", + "oken s", + "oke ns", + "Ġ VAL", + "ĠV AL", + "ĠVA L", + ". file", + ".f ile", + ".fi le", + ".fil e", + "re set", + "res et", + "rese t", + "Ġ mys", + "Ġm ys", + "Ġmy s", + "Ġ MA", + "ĠM A", + "] ),", + "]) ,", + "Ġ cities", + "Ġc ities", + "Ġcit ies", + "Ġci ties", + "re lated", + "rel ated", + "å Ľ", + "Ġ appeared", + "Ġappe ared", + "Ġappear ed", + "Ġ wid", + "Ġw id", + "Ġwi d", + ". panel", + ".p anel", + ".pa nel", + ".pan el", + "Ġ Ins", + "ĠI ns", + "ĠIn s", + ". entity", + ".e ntity", + ".ent ity", + "Ġde cre", + "Ġdec re", + "Ġ Lou", + "ĠL ou", + "ĠLo u", + "( time", + "(t ime", + "(ti me", + "Ġ Thank", + "ĠTh ank", + "ĠThan k", + ". createElement", + ".create Element", + "Ġ mentioned", + "Ġmention ed", + "Ġment ioned", + "o unce", + "ou nce", + "oun ce", + "ounc e", + "Ġ Try", + "ĠT ry", + "ĠTr y", + "Ġ Wall", + "ĠW all", + "ĠWal l", + "ĠWa ll", + "/ images", + "/image s", + "/im ages", + "Ġ Menu", + "ĠM enu", + "ĠMe nu", + "ĠMen u", + "' čĊ", + "Ġ Er", + "ĠE r", + "Ġc ritic", + "Ġcr itic", + "Ġcrit ic", + "Ġcri tic", + "Ġ Year", + "ĠY ear", + "ĠYe ar", + "( param", + "(p aram", + "(par am", + "(pa ram", + "(para m", + "Ġ flo", + "Ġf lo", + "Ġfl o", + "N N", + "o oter", + "oot er", + "oo ter", + "Ġ ];Ċ", + "Ġ] ;Ċ", + "Ġ]; Ċ", + "Ġ Aff", + "ĠA ff", + "ĠAf f", + "\" github", + "\"g ithub", + "ro oms", + "room s", + "Ġ hyp", + "Ġh yp", + "Ġhy p", + "g lobal", + "glob al", + "Ġ avec", + "Ġa vec", + "Ġav ec", + "Ġave c", + "æľ Ī", + "Ġ completion", + "Ġcom pletion", + "Ġcomp letion", + "Ġcomple tion", + "Ġcomplet ion", + "Ġ cond", + "Ġc ond", + "Ġcon d", + "Ġco nd", + "on ymous", + "onym ous", + "( temp", + "(t emp", + "(te mp", + "Ġ stars", + "Ġst ars", + "Ġstar s", + "Ġsta rs", + "Ġ relevant", + "Ġre levant", + "Ġrele vant", + "Ġrelev ant", + "Ġ covered", + "Ġcover ed", + "Ġcov ered", + "Ġ elim", + "Ġe lim", + "Ġel im", + "_ types", + "_t ypes", + "_type s", + "_typ es", + "_ty pes", + "( bool", + "(b ool", + "Ġ tu", + "Ġt u", + "_ exists", + "_ex ists", + "_exist s", + "Ġ secure", + "Ġs ecure", + "Ġsec ure", + "Ġ stored", + "Ġst ored", + "Ġstore d", + "Ġstor ed", + "Ġsto red", + "] /", + "x F", + "Ġ Controller", + "ĠCont roller", + "ĠControl ler", + "ĠContr oller", + "Ġm igr", + "Ġmi gr", + "Ġmig r", + "M I", + "Ġ Den", + "ĠD en", + "ĠDe n", + "Ġ annual", + "Ġann ual", + "U IL", + "UI L", + "- and", + "-a nd", + "-an d", + "Ġ crime", + "Ġcr ime", + "Ġcri me", + "Ġcrim e", + "b el", + "be l", + "Ġk itchen", + "Ġkit chen", + "@ g", + "_ ph", + "_p h", + "ourn ament", + "Ġ Social", + "ĠS ocial", + "ĠSo cial", + "ĠSoc ial", + "ĠSoci al", + "Ġ Special", + "ĠS pecial", + "ĠSp ecial", + "ĠSpec ial", + "ĠSpe cial", + "lo gger", + "log ger", + "logg er", + "Ġ tail", + "Ġt ail", + "Ġta il", + "Ġtai l", + "Ġ unknown", + "Ġun known", + "Ġunk nown", + "Ġunknow n", + "d ed", + "de d", + "Ġapp rec", + "Ġap prec", + "( db", + "(d b", + "c f", + "1 55", + "15 5", + "Ġ assign", + "Ġas sign", + "Ġass ign", + "- out", + "-o ut", + "Ġ Mont", + "ĠM ont", + "ĠMon t", + "ĠMo nt", + "d p", + "w idget", + "wid get", + "Ġ stone", + "Ġs tone", + "Ġst one", + "Ġsto ne", + "- primary", + "-pr imary", + ". grid", + ".g rid", + ".gr id", + "Res ults", + "Result s", + "a zz", + "az z", + "Ġ daughter", + "Ġda ughter", + "Ġ curr", + "Ġc urr", + "Ġcur r", + "Ġcu rr", + "1 75", + "17 5", + "Ġ lin", + "Ġl in", + "Ġli n", + "Ġ south", + "Ġs outh", + "Ġso uth", + "Ġsou th", + "Ġsout h", + "form s", + "fo rms", + "for ms", + "Ġ OUT", + "ĠO UT", + "ĠOU T", + "l ette", + "le tte", + "let te", + "lett e", + "a ks", + "ak s", + "ig ure", + "igu re", + "Ġ EU", + "ĠE U", + "var iable", + "vari able", + "Ġ brief", + "Ġb rief", + "Ġbr ief", + "Ġbri ef", + "Ġ Scott", + "ĠS cott", + "ĠSc ott", + "ĠScot t", + "ĠSco tt", + "Ġ conference", + "Ġcon ference", + "Ġconf erence", + "Ġconfer ence", + "a nda", + "an da", + "and a", + "_ lock", + "_l ock", + "_lo ck", + "_loc k", + "o ral", + "or al", + "ora l", + "Ġe ine", + "Ġein e", + "Ġei ne", + "O RS", + "OR S", + "//// ////////////////////////////////////////////////////////////", + "//////// ////////////////////////////////////////////////////////", + "//////////////// ////////////////////////////////////////////////", + "//////////////////////////////// ////////////////////////////////", + "//////////// ////////////////////////////////////////////////////", + "//////////////////////////////////////////////// ////////////////", + "//////////////////////////////////////////////////////// ////////", + "//////////////////////////////////////////////////////////// ////", + "//////////////////////////////////////////////////// ////////////", + "es so", + "ess o", + "Ġ ris", + "Ġr is", + "Ġri s", + "Ġ gender", + "Ġg ender", + "Ġge nder", + "Ġgen der", + "es tic", + "est ic", + "esti c", + "L icense", + "Lic ense", + "( out", + "(o ut", + "Ġ ms", + "Ġm s", + "S ee", + "Se e", + "Ġw illing", + "Ġwill ing", + "Ġwil ling", + "a ze", + "az e", + "Ġ sports", + "Ġs ports", + "Ġsp orts", + "Ġsport s", + "Ġspo rts", + "Ġspor ts", + "Ġ yes", + "Ġy es", + "Ġye s", + "l u", + "Ġp urs", + "Ġpur s", + "Ġpu rs", + "/ javascript", + "/j avascript", + "/java script", + "/jav ascript", + "- pro", + "-p ro", + "-pr o", + "nav bar", + "_ product", + "_pro duct", + "_prod uct", + "/ bootstrap", + "/boot strap", + "Ġdr iving", + "Ġdriv ing", + "Ġdri ving", + "Ġ Ä", + "Ġpro pos", + "Ġprop os", + "ul tip", + "ult ip", + "ulti p", + "up lic", + ". email", + ".e mail", + ".em ail", + "Ġ approx", + "Ġapp rox", + "Ġap prox", + "Ġappro x", + "( cl", + "(c l", + "Ġ wear", + "Ġw ear", + "Ġwe ar", + "Ġ reply", + "Ġre ply", + "Ġrep ly", + "Ġrepl y", + "as set", + "ass et", + "asse t", + "Ġ ice", + "Ġi ce", + "Ġic e", + "Ġ tx", + "Ġt x", + "k r", + "Ġ Germany", + "ĠGerman y", + "ĠGer many", + "ĠGerm any", + "Ġ George", + "ĠGe orge", + "ĠGeorg e", + "Ġ cb", + "Ġc b", + "ĉ err", + "ĉe rr", + "M ove", + "Mo ve", + "Mov e", + "Ġ poly", + "Ġp oly", + "Ġpol y", + "Ġpo ly", + "v oice", + "vo ice", + "} \"", + "Ġ animal", + "Ġan imal", + "Ġanim al", + "Ġani mal", + "A v", + "Ġ Location", + "ĠL ocation", + "ĠLo cation", + "ĠLoc ation", + "Ġ native", + "Ġn ative", + "Ġnat ive", + "] [\"", + "][ \"", + "< double", + " \"", + "s tat", + "st at", + "sta t", + "Ġ },čĊ", + "Ġ} ,čĊ", + "Ġ}, čĊ", + "< span", + " =", + "Ð ±", + "1 39", + "13 9", + "i va", + "iv a", + ". AutoSize", + ".Auto Size", + "Ġ Lat", + "ĠL at", + "ĠLa t", + "_ ext", + "_e xt", + "_ex t", + "Initial ize", + ". register", + ".reg ister", + "1 56", + "15 6", + "O PY", + "OP Y", + "Ġ reverse", + "Ġre verse", + "Ġrev erse", + "Ġrevers e", + "Ġrever se", + "_ dis", + "_d is", + "_di s", + "' ][", + "'] [", + "Ġ prompt", + "Ġp rompt", + "Ġprom pt", + "on to", + "ont o", + "Ġ Journal", + "ĠJ ournal", + "ĠJo urnal", + "r outer", + "ro uter", + "rou ter", + "route r", + "Ġ mysqli", + "Ġm ysqli", + "Ġmys qli", + "Ġmysql i", + "# else", + ") \"", + "- xs", + "-x s", + "l ets", + "le ts", + "let s", + "p han", + "ph an", + "pha n", + ". LE", + ".L E", + "1 37", + "13 7", + "W ill", + "Wil l", + "Wi ll", + "Ġaff ord", + "Ġaf ford", + "Ġ skill", + "Ġs kill", + "Ġsk ill", + "Ġski ll", + "- toggle", + "-t oggle", + "N C", + "B ind", + "Bin d", + "Bi nd", + "T S", + "J ust", + "Ju st", + "it eral", + "ite ral", + "iter al", + "Y P", + "ĉ unsigned", + "ĉun signed", + "Ġ wind", + "Ġw ind", + "Ġwin d", + "Ġwi nd", + "1 49", + "14 9", + ") ):Ċ", + ")) :Ċ", + ")): Ċ", + "Ġ warning", + "Ġw arning", + "Ġwar ning", + "Ġwarn ing", + "Ġ Water", + "ĠW ater", + "ĠWat er", + "ĠWa ter", + "Ġ draft", + "Ġd raft", + "Ġdr aft", + "Ġdra ft", + "Ġ cm", + "Ġc m", + "Ġ sam", + "Ġs am", + "Ġsa m", + "Ġ holding", + "Ġh olding", + "Ġhold ing", + "Ġhol ding", + "z ip", + "zi p", + "Ġ Science", + "ĠSc ience", + "ĠSci ence", + "Ġsup posed", + "Ġsuppose d", + "Ġsupp osed", + "G en", + "Ge n", + "Ġ diet", + "Ġd iet", + "Ġdi et", + "Ġdie t", + "< h", + "Ġ Pass", + "ĠP ass", + "ĠPa ss", + "ĠPas s", + "v i", + "Ġh usband", + "Ġhus band", + "� �", + "n ote", + "not e", + "no te", + "Ġ About", + "ĠA bout", + "ĠAb out", + "ĠIn stitute", + "ĠInstit ute", + "ĠInstitut e", + "Ġ climate", + "Ġcl imate", + "Ġclim ate", + "Ġcli mate", + ". Format", + ".Form at", + ".For mat", + "Ġ nut", + "Ġn ut", + "Ġnu t", + "e sted", + "es ted", + "est ed", + "este d", + "Ġapp arent", + "Ġap parent", + "Ġappar ent", + "Ġappare nt", + "Ġ holds", + "Ġh olds", + "Ġhold s", + "Ġho lds", + "Ġhol ds", + "f i", + "n ews", + "ne ws", + "new s", + "C M", + "v ideo", + "vid eo", + "vi deo", + "vide o", + "' :'", + "': '", + "D ITION", + "DI TION", + "p ing", + "pi ng", + "pin g", + "Ġsen ior", + "Ġseni or", + "w a", + "- ->Ċ", + "-- >Ċ", + "--> Ċ", + "_ default", + "_d efault", + "_de fault", + "_def ault", + "Ġ Database", + "ĠD atabase", + "ĠData base", + "ĠDat abase", + "r ep", + "re p", + "E SS", + "ES S", + "n ergy", + "ner gy", + "nerg y", + ". Find", + ".F ind", + "_ mask", + "_m ask", + "_ma sk", + "_mas k", + "Ġ rise", + "Ġr ise", + "Ġris e", + "Ġri se", + "Ġ kernel", + "Ġk ernel", + "Ġker nel", + "Ġkern el", + ": :$", + ":: $", + ". Q", + "Ġoff ering", + "Ġoffer ing", + "de cl", + "dec l", + "Ġ CS", + "ĠC S", + "Ġ listed", + "Ġl isted", + "Ġli sted", + "Ġlist ed", + "Ġliste d", + "Ġlis ted", + "Ġ mostly", + "Ġmost ly", + "e nger", + "en ger", + "eng er", + "enge r", + "Ġ blocks", + "Ġb locks", + "Ġbl ocks", + "Ġblock s", + "Ġblo cks", + "Ġbloc ks", + "o lo", + "ol o", + "Ġgover ning", + "Ġgovern ing", + "\\ F", + "Ġcon cent", + "Ġconc ent", + "Ġconce nt", + ". getText", + ".get Text", + "Ġ mb", + "Ġm b", + "Ġocc urred", + "Ġoccur red", + "Ġ changing", + "Ġch anging", + "Ġchang ing", + "Ġchan ging", + "S cene", + "Sc ene", + "_ CODE", + "_C ODE", + "_CO DE", + "_COD E", + "B eh", + "Be h", + "\" The", + "\"T he", + "Ġ tile", + "Ġt ile", + "Ġti le", + "Ġtil e", + "Ġ Association", + "ĠAssoci ation", + "ĠAssoc iation", + "ĉ P", + "al ty", + "alt y", + "_ ad", + "_a d", + "od ies", + "odi es", + "odie s", + "i ated", + "ia ted", + "iate d", + "iat ed", + "Ġ prepared", + "Ġpre pared", + "Ġprepar ed", + "Ġprepare d", + "Ġprep ared", + "p ossible", + "poss ible", + "Ġ mort", + "Ġm ort", + "Ġmor t", + "Ġmo rt", + "T EST", + "TE ST", + "TES T", + "1 42", + "14 2", + "Ġ ignore", + "Ġi gnore", + "Ġign ore", + "Ġig nore", + "Ġignor e", + "Ġ calc", + "Ġc alc", + "Ġcal c", + "Ġca lc", + "Ġ rs", + "Ġr s", + "Ġ assertEquals", + "Ġassert Equals", + "Ġ sz", + "Ġs z", + "Ġ THIS", + "ĠTH IS", + ". \"Ċ", + ".\" Ċ", + "Ġ canvas", + "Ġc anvas", + "Ġcan vas", + "Ġcanv as", + "j ava", + "ja va", + "jav a", + "Ġd ut", + "Ġdu t", + "VAL ID", + ". sql", + ".s ql", + ". input", + ".in put", + "Ġ aux", + "Ġa ux", + "Ġau x", + "S up", + "Su p", + "Ġ artist", + "Ġart ist", + "V ec", + "Ve c", + "_ TIME", + "_T IME", + "_TIM E", + "_TI ME", + ".string ify", + "et ween", + "Ġ Category", + "ĠC ategory", + "Ġ [-", + "Ġ[ -", + "Ġ DevExpress", + "ĠDev Express", + "Ġ Jul", + "ĠJ ul", + "ĠJu l", + "Ġ ring", + "Ġr ing", + "Ġri ng", + "Ġrin g", + ". ed", + ".e d", + "Y Y", + "L et", + "Le t", + "T extField", + "Text Field", + "Ġ flat", + "Ġf lat", + "Ġfl at", + "Ġfla t", + "_ print", + "_p rint", + "_pr int", + "_pri nt", + "Ġ OTHER", + "ĠOT HER", + "ad ian", + "adi an", + "adia n", + "Ġ checked", + "Ġcheck ed", + "e le", + "el e", + "Al ign", + "Ali gn", + "st anding", + "stand ing", + "stan ding", + "Ġ [],", + "Ġ[ ],", + "Ġ[] ,", + "Ġ lab", + "Ġl ab", + "Ġla b", + "u cky", + "uc ky", + "uck y", + "Ġ Christmas", + "ĠChrist mas", + "( image", + "(i mage", + "(im age", + ". module", + ".m odule", + ".mod ule", + "Ġ lots", + "Ġl ots", + "Ġlo ts", + "Ġlot s", + "Ġs lightly", + "Ġsl ightly", + "Ġslight ly", + "( final", + "(f inal", + "(fin al", + "(fi nal", + "er ge", + "erg e", + "è ¿", + "1 47", + "14 7", + "Ġ Police", + "ĠPol ice", + "ĠPo lice", + "ĠPolic e", + "1 43", + "14 3", + "Ġ Right", + "ĠR ight", + "ĠRig ht", + "ĠRi ght", + "Ġ award", + "Ġa ward", + "Ġaw ard", + "Ġ OS", + "ĠO S", + "Ġ {}ĊĊ", + "Ġ{ }ĊĊ", + "Ġ{} ĊĊ", + "Ġ{}Ċ Ċ", + "Ġ ptr", + "Ġp tr", + "Ġpt r", + "o ves", + "ov es", + "ove s", + "ic ated", + "ica ted", + "icate d", + "е м", + "еР¼", + "Ġ manage", + "Ġman age", + "Ġma nage", + "Ġmana ge", + "ol iday", + "olid ay", + "oli day", + "A mount", + "Am ount", + "ool Strip", + "t body", + "tb ody", + "N av", + "Na v", + "w rap", + "wr ap", + "B B", + "Ġw atching", + "Ġwatch ing", + "Ġwat ching", + "a rios", + "ar ios", + "ari os", + "ario s", + "Ġ optional", + "Ġoption al", + "Ġopt ional", + "_ K", + "Ġ Licensed", + "ĠL icensed", + "ĠLicense d", + "ĠLic ensed", + ". Map", + ".M ap", + ".Ma p", + "T imer", + "Time r", + "Tim er", + "Ti mer", + "Ġ AP", + "ĠA P", + "Ġ Rev", + "ĠR ev", + "ĠRe v", + "( o", + ", c", + "u min", + "um in", + "umi n", + "et ailed", + "etail ed", + "eta iled", + "Ġ Hy", + "ĠH y", + "Ġ blank", + "Ġbl ank", + "Ġbla nk", + "a gger", + "ag ger", + "agg er", + "Ġ Self", + "ĠS elf", + "ĠSe lf", + "ĠSel f", + "( )[", + "() [", + ". make", + ".m ake", + ".ma ke", + "e arn", + "ear n", + "ea rn", + "ch annel", + "chan nel", + "< pre", + "

;Ċ", + ">; Ċ", + "W orld", + "Ġ python", + "Ġp ython", + "Ġpy thon", + "Ġpyt hon", + "Ġ lif", + "Ġl if", + "Ġli f", + "Ġt rav", + "Ġtr av", + "Ġtra v", + "Ġcon ven", + "Ġconv en", + "com pany", + "comp any", + "compan y", + "Ġ Club", + "ĠC lub", + "ĠCl ub", + "1 38", + "13 8", + "V er", + "Ve r", + "B tn", + "Ġ zone", + "Ġz one", + "Ġzo ne", + "product s", + "produ cts", + "Ġ Educ", + "ĠE duc", + "ĠEd uc", + "ĠEdu c", + "Ġ verify", + "Ġver ify", + "Ġveri fy", + "Ġ Mil", + "ĠM il", + "ĠMi l", + "o no", + "on o", + "] );ĊĊ", + "]) ;ĊĊ", + "]);Ċ Ċ", + "]); ĊĊ", + "EN CE", + "ENC E", + "Ġ packet", + "Ġp acket", + "Ġpack et", + "Ġpa cket", + "Ġpac ket", + "Ġ cer", + "Ġc er", + "Ġce r", + "Ġ enumer", + "Ġe numer", + "Ġen umer", + "Ġenum er", + "Ġ pars", + "Ġp ars", + "Ġpar s", + "Ġpa rs", + "form ed", + "for med", + "forme d", + "Ġ occup", + "Ġocc up", + "Ġoc cup", + "t re", + "tr e", + "Ġ exercise", + "Ġex ercise", + "Ġexerc ise", + "D ay", + "Da y", + "_ sum", + "_s um", + "_su m", + "Ġ asking", + "Ġas king", + "Ġask ing", + "a ption", + "ap tion", + "apt ion", + "Ġ orders", + "Ġor ders", + "Ġorder s", + "Ġord ers", + "Ġs pending", + "Ġsp ending", + "Ġspend ing", + "Ġ ERR", + "ĠE RR", + "ĠER R", + ". Dis", + ".D is", + ".Di s", + "Ġ Util", + "ĠU til", + "ĠUt il", + "âĢľ I", + "\\ '", + "? )", + "/ >Ċ", + "/> Ċ", + "Ġe mot", + "Ġem ot", + "Ġemo t", + "Ġin fluence", + "Ġinflu ence", + "Ġ Africa", + "ĠA frica", + "ĠAfr ica", + "ĠAf rica", + "at ters", + "att ers", + "atter s", + "atte rs", + "Ù ħ", + ". session", + ".s ession", + ".sess ion", + "Ġ chief", + "Ġch ief", + "Ġchi ef", + "ĉ ĉĉĉĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉĉĉĉ", + "ĉĉĉĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉĉ ĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉĉĉĉ ĉ", + "Ġ tom", + "Ġt om", + "Ġto m", + "cl uded", + "clude d", + "clud ed", + "s erial", + "se rial", + "ser ial", + "_ handler", + "_h andler", + "_handle r", + "_hand ler", + ". Type", + ".T ype", + "a ped", + "ap ed", + "ape d", + "Ġp olicies", + "Ġpol icies", + "Ġpolic ies", + "- ex", + "-e x", + "- tr", + "-t r", + "bl ank", + "bla nk", + "m erce", + "mer ce", + "merc e", + "Ġ coverage", + "Ġco verage", + "Ġcover age", + "Ġ rc", + "Ġr c", + "_ matrix", + "_m atrix", + "_mat rix", + "_ box", + "_b ox", + "_bo x", + "Ġ charges", + "Ġch arges", + "Ġchar ges", + "Ġcharg es", + "Ġcharge s", + "Ġ Boston", + "ĠB oston", + "ĠBo ston", + "ĠBos ton", + "P e", + "Ġcirc um", + "Ġcir cum", + "Ġ filled", + "Ġf illed", + "Ġfil led", + "Ġfill ed", + "Ġfille d", + "1 48", + "14 8", + "Ġ north", + "Ġn orth", + "Ġnor th", + "icture Box", + "ĉ res", + "ĉr es", + "ĉre s", + "è ®", + "Ġ termin", + "Ġter min", + "Ġterm in", + "Ġ [âĢ¦", + "Ġ[ âĢ¦", + "I RECT", + "IR ECT", + "IRE CT", + "Ġ ber", + "Ġb er", + "Ġbe r", + "Ġ\" ../../", + "Ġ\"../ ../", + "Ġ\".. /../", + "r etch", + "ret ch", + ". code", + ".c ode", + ".co de", + ".cod e", + "_ col", + "_c ol", + "_co l", + "Ġ Government", + "ĠG overnment", + "ĠGovern ment", + "Ġ argv", + "Ġar gv", + "Ġarg v", + "Ġ Lord", + "ĠL ord", + "ĠLo rd", + "ĠLor d", + "a si", + "as i", + "E xec", + "Ex ec", + "ĉ let", + "ĉl et", + "vert is", + "Ġ discussion", + "Ġdisc ussion", + "Ġdiscuss ion", + "en ance", + "ena nce", + "enan ce", + "ou tube", + "out ube", + "outu be", + "type of", + "typ eof", + "Ġs erved", + "Ġser ved", + "Ġserv ed", + "Ġserve d", + "Ġ Put", + "ĠP ut", + "ĠPu t", + "ĉ x", + "Ġ sweet", + "Ġs weet", + "Ġswe et", + "B efore", + "Be fore", + "ate gy", + "ateg y", + ". of", + ".o f", + "Ġ Material", + "ĠM aterial", + "ĠMat erial", + "ĠMate rial", + "ĠMater ial", + "S ort", + "So rt", + "O NT", + "ON T", + "ig ital", + "igit al", + "igi tal", + "W hy", + "Wh y", + "Ġs ust", + "Ġsu st", + "Ġsus t", + "Ġ ç", + "a bet", + "ab et", + "abe t", + "Ġ segment", + "Ġs egment", + "Ġse gment", + "Ġseg ment", + "Ġ [],Ċ", + "Ġ[ ],Ċ", + "Ġ[] ,Ċ", + "Ġ[], Ċ", + "Ġ Muslim", + "ĠM uslim", + "ĠMus lim", + "Ġ findViewById", + "Ġfind ViewById", + "c ut", + "cu t", + "_ TEXT", + "_T EXT", + "_TE XT", + "_TEX T", + "Ġ Mary", + "ĠM ary", + "ĠMar y", + "ĠMa ry", + "Ġl oved", + "Ġlo ved", + "Ġlove d", + "Ġlov ed", + "Ġ lie", + "Ġl ie", + "Ġli e", + "Ġ JO", + "ĠJ O", + "Ġ isset", + "Ġis set", + "Ġiss et", + "m onth", + "mon th", + "mo nth", + "mont h", + "Ġ prime", + "Ġpr ime", + "Ġprim e", + "Ġpri me", + "t i", + "Ġ Carol", + "ĠCar ol", + "ĠCa rol", + "U se", + "Us e", + "1 46", + "14 6", + "Ġ Pop", + "ĠP op", + "ĠPo p", + "Ġ Save", + "ĠS ave", + "ĠSa ve", + "ĠSav e", + "Int erval", + "Inter val", + "ex ecute", + "exec ute", + "d y", + "Ġ Iran", + "ĠI ran", + "ĠIr an", + "_ cont", + "_c ont", + "_con t", + "_co nt", + "ĉ T", + "Ġ phase", + "Ġph ase", + "Ġpha se", + "check box", + "we ek", + "Ġ hide", + "Ġh ide", + "Ġhi de", + "Ġhid e", + "Ġ til", + "Ġt il", + "Ġti l", + "Ġ ju", + "Ġj u", + "C ustom", + "b urg", + "bur g", + "bu rg", + "/ M", + "T ON", + "TO N", + "Ġ quant", + "Ġqu ant", + "Ġq uant", + "Ġqua nt", + "Ġquan t", + "Ġ rub", + "Ġr ub", + "Ġru b", + "ix els", + "ixel s", + "ixe ls", + "Ġ installed", + "Ġinst alled", + "Ġinstall ed", + "Ġinstal led", + "Ġ dump", + "Ġd ump", + "Ġdu mp", + "Ġdum p", + "Ġproper ly", + "( List", + "(L ist", + "Ġdec ide", + "Ġdecid e", + "ap ply", + "app ly", + "appl y", + "H as", + "Ha s", + "Ġ keeping", + "Ġke eping", + "Ġkeep ing", + "Ġcit izens", + "Ġcitiz ens", + "Ġcitizen s", + "Ġ joint", + "Ġj oint", + "Ġjoin t", + "Ġjo int", + "p ool", + "po ol", + "S ocket", + "So cket", + "Sock et", + "_ op", + "_o p", + "Ġ weapon", + "Ġwe apon", + "Ġweap on", + "g nore", + "gn ore", + "Ġ Exec", + "ĠE xec", + "ĠEx ec", + "ot ten", + "ott en", + "otte n", + "Ġ MS", + "ĠM S", + "Ġ (-", + "Ġ( -", + "Ġ Review", + "ĠR eview", + "ĠRe view", + "ĠRev iew", + "Ġ examples", + "Ġex amples", + "Ġexample s", + "Ġexam ples", + "Ġ tight", + "Ġt ight", + "Ġti ght", + "! (", + "D P", + "Ġ MessageBox", + "ĠMessage Box", + "Ġphot ograph", + "Ġphoto graph", + "1 64", + "16 4", + "U RI", + "UR I", + "é t", + "l ow", + "lo w", + "Ġ Grand", + "ĠG rand", + "ĠGr and", + "ĠGran d", + "ĠGra nd", + ".p ersistence", + ".persist ence", + "Ġmain tain", + "Ġmaint ain", + "Ġ nums", + "Ġn ums", + "Ġnum s", + "Ġnu ms", + "Ġ zip", + "Ġz ip", + "Ġzi p", + "i als", + "ial s", + "ia ls", + "Ġ Gets", + "ĠG ets", + "ĠGet s", + "ĠGe ts", + "p eg", + "pe g", + "Ġ Buffer", + "ĠB uffer", + "ĠBuff er", + "ĠBu ffer", + "ĠBuf fer", + "~~ ~~", + "ra structure", + "Ġ PL", + "ĠP L", + "u en", + "ue n", + "ob by", + "obb y", + "size of", + "siz eof", + "Ġ pic", + "Ġp ic", + "Ġpi c", + "Ġ seed", + "Ġs eed", + "Ġse ed", + "Ġsee d", + "Ġex perienced", + "Ġexperience d", + "Ġexperi enced", + "Ġ odd", + "Ġo dd", + "Ġod d", + "Ġ kick", + "Ġk ick", + "Ġki ck", + "Ġ procedure", + "Ġpro cedure", + "Ġproced ure", + "av igator", + "avig ator", + "- on", + "-o n", + ", j", + "Ġ Although", + "ĠAl though", + "Ġ userId", + "Ġuser Id", + "ac cept", + "acc ept", + "B lue", + "Bl ue", + "I Color", + "IC olor", + "l ayer", + "la yer", + "lay er", + "a vailable", + "av ailable", + "avail able", + "Ġ ends", + "Ġe nds", + "Ġen ds", + "Ġend s", + ". table", + ".t able", + ".tab le", + ".ta ble", + "Ġ dataset", + "Ġd ataset", + "Ġdata set", + "Ġdat aset", + "Ġdatas et", + "b us", + "bu s", + "Ġ explain", + "Ġex plain", + "Ġexp lain", + "Ġexpl ain", + "( pro", + "(p ro", + "(pr o", + "ĠCommit tee", + "Ġn oted", + "Ġnot ed", + "Ġno ted", + "Ġnote d", + "] :Ċ", + "]: Ċ", + "D im", + "Di m", + "st dio", + "std io", + "1 54", + "15 4", + ". \",Ċ", + ".\" ,Ċ", + ".\", Ċ", + "_ source", + "_s ource", + "1 81", + "18 1", + "Ġ Week", + "ĠWe ek", + "Ġ Edge", + "ĠE dge", + "ĠEd ge", + "Ġoper ating", + "Ġopera ting", + "Ġ este", + "Ġe ste", + "Ġes te", + "Ġest e", + "i pl", + "ip l", + "3 30", + "33 0", + "ag ination", + "agi nation", + "agina tion", + "Ġpro ceed", + "Ġproc eed", + "Ġ animation", + "Ġan imation", + "Ġanim ation", + ". Models", + ".Model s", + ".Mod els", + ".Mode ls", + "Ġ Watch", + "ĠW atch", + "ĠWat ch", + "i at", + "ia t", + "Ġop pon", + "Ġopp on", + "/ A", + "Re port", + "Rep ort", + "Repo rt", + "Ġ sounds", + "Ġs ounds", + "Ġso unds", + "Ġsound s", + "Ġsou nds", + "_ buf", + "_b uf", + "IE LD", + "IEL D", + "Ġb und", + "Ġbu nd", + "Ġbun d", + "ĉ get", + "ĉg et", + ". pr", + ".p r", + "( tmp", + "(t mp", + "(tm p", + "Ġ kid", + "Ġk id", + "Ġki d", + "> ĊĊĊ", + ">Ċ ĊĊ", + ">ĊĊ Ċ", + "Ġ yang", + "Ġy ang", + "Ġya ng", + "Ġyan g", + "Not Found", + "Ñ Ĩ", + "m ath", + "ma th", + "mat h", + "@ gmail", + "@g mail", + "Ġ LIMIT", + "ĠL IMIT", + "ĠLI MIT", + "red ients", + "redient s", + "redi ents", + "Ġ vent", + "Ġv ent", + "Ġve nt", + "Ġven t", + "av igate", + "avig ate", + "avi gate", + "L ook", + "Lo ok", + "Ġ religious", + "Ġrel igious", + "Ġrelig ious", + "Ġ rand", + "Ġr and", + "Ġran d", + "Ġra nd", + "r io", + "ri o", + "( GL", + "(G L", + "_ ip", + "_i p", + "u an", + "ua n", + "ici ency", + "icie ncy", + "Ġ Change", + "ĠCh ange", + "ĠCha nge", + "ĠChan ge", + "ĠChang e", + "> čĊčĊ", + ">čĊ čĊ", + "Ġ Entity", + "ĠE ntity", + "ĠEnt ity", + "Ġren contre", + "Ġrencont re", + "Ġrencontr e", + "Ġ Ret", + "ĠR et", + "ĠRe t", + "p lan", + "pl an", + "pla n", + "é n", + "BO OL", + "u ries", + "ur ies", + "uri es", + "t rain", + "tr ain", + "tra in", + "Def inition", + "= ===========", + "== ==========", + "==== ========", + "======== ====", + "=== =========", + "=========== =", + "========= ===", + "========== ==", + "====== ======", + "===== =======", + "======= =====", + "z z", + "4 50", + "45 0", + "An imation", + "Anim ation", + "Ġ OK", + "ĠO K", + "_ menu", + "_m enu", + "_me nu", + ". bl", + ".b l", + "_ score", + "_s core", + "_sc ore", + "Ġ acad", + "Ġa cad", + "Ġac ad", + "( System", + "(S ystem", + "Ġ refresh", + "Ġre fresh", + "Ġref resh", + "Ġrefr esh", + "' =>$", + "'=> $", + "'= >$", + ". Graphics", + ".G raphics", + ".Graph ics", + "am ento", + "ament o", + "amen to", + "p id", + "pi d", + "t c", + "Ġ tips", + "Ġt ips", + "Ġti ps", + "Ġtip s", + "Ġ homes", + "Ġh omes", + "Ġhome s", + "Ġhom es", + "Ġho mes", + "Ġ fuel", + "Ġf uel", + "Ġfu el", + "Ġfue l", + "â ĸ", + "_ helper", + "_h elper", + "_help er", + "Ġ ĠčĊ", + "ĠĠ čĊ", + "Ġ Room", + "ĠR oom", + "ĠRo om", + "ĠRoo m", + ". Close", + ".C lose", + ".Cl ose", + "_ attr", + "_at tr", + "_att r", + "Ġ Mount", + "ĠM ount", + "ĠMo unt", + "ĠMou nt", + "Ġ Ev", + "ĠE v", + "ar ser", + "ars er", + "arse r", + "_ top", + "_t op", + "_to p", + "e ah", + "ea h", + "Ġ Delete", + "ĠDe lete", + "ĠDel ete", + "ãĢ į", + "u ke", + "uk e", + "Ġ usage", + "Ġu sage", + "Ġus age", + "Ġusa ge", + "a ria", + "ar ia", + "ari a", + "_ dev", + "_d ev", + "_de v", + "Ġ texture", + "Ġtext ure", + "Ġtex ture", + "Ġtextu re", + "Ġ conversation", + "Ġcon versation", + "Ġconvers ation", + "e per", + "ep er", + "B ean", + "Be an", + "d one", + "do ne", + "don e", + "non atomic", + "Ġ Second", + "ĠSe cond", + "ĠSec ond", + "Ġsh ooting", + "Ġshoot ing", + "Ġsho oting", + "_ pre", + "_p re", + "_pr e", + "Com ponents", + "Component s", + "Comp onents", + "Ġ ]ĊĊ", + "Ġ] ĊĊ", + "Ġ]Ċ Ċ", + "_ _,", + "__ ,", + "st itution", + "stit ution", + ". Char", + ".C har", + ".Ch ar", + "> ();ĊĊ", + ">( );ĊĊ", + ">();Ċ Ċ", + ">() ;ĊĊ", + ">(); ĊĊ", + "Ġpres ented", + "Ġpresent ed", + "Ġpresente d", + "Ġ wa", + "Ġw a", + "o ker", + "ok er", + "oke r", + "- ĊĊ", + "-Ċ Ċ", + "i ner", + "in er", + "ine r", + "Ġbe coming", + "Ġbec oming", + "Ġ incident", + "Ġinc ident", + "Ġincid ent", + "A tt", + "At t", + "1 62", + "16 2", + "Ġreve aled", + "Ġreveal ed", + "f orc", + "fo rc", + "for c", + "Ġ boot", + "Ġb oot", + "Ġbo ot", + "Ġboo t", + ". page", + ".p age", + ".pa ge", + ".pag e", + "En umerator", + "Enumer ator", + "Enum erator", + "1 65", + "16 5", + "_ ->", + "_- >", + "Ph oto", + "Phot o", + "Ġ spring", + "Ġs pring", + "Ġsp ring", + "Ġspr ing", + ". \",", + ".\" ,", + "Ġ Dictionary", + "ĠD ictionary", + "B JECT", + "BJ ECT", + "Ġ locations", + "Ġl ocations", + "Ġloc ations", + "Ġlocation s", + "Ġ samples", + "Ġs amples", + "Ġsample s", + "Ġsam ples", + "Ġsamp les", + "Input Stream", + "Ġ Brown", + "ĠB rown", + "ĠBr own", + "ĠBro wn", + "ĠBrow n", + "Ġ stats", + "Ġst ats", + "Ġstat s", + "Ġsta ts", + "q uality", + "qu ality", + "qual ity", + "Ñ ħ", + "- dis", + "-d is", + "-di s", + "Ġhelp ing", + "Ġhel ping", + "Ġ ped", + "Ġp ed", + "Ġpe d", + "2 24", + "22 4", + "( se", + "(s e", + "Ġ Who", + "ĠW ho", + "ĠWh o", + "a lian", + "al ian", + "ali an", + "alia n", + "in ternal", + "int ernal", + "inter nal", + "intern al", + "Ġ ft", + "Ġf t", + "> ().", + ">( ).", + ">() .", + "- >{", + "-> {", + "Ġ mine", + "Ġm ine", + "Ġmin e", + "Ġmi ne", + "Ġ sector", + "Ġs ector", + "Ġse ctor", + "Ġsec tor", + "Ġsect or", + "Ġ gro", + "Ġg ro", + "Ġgr o", + "Ġopport unities", + "Ġopportun ities", + "Ġ ü", + "Ġà ¼", + "Ġ mp", + "Ġm p", + "Ġalleg ed", + "Ġalle ged", + "Ġallege d", + "Ġdoub t", + "Ġdou bt", + "M ouse", + "Mo use", + "A bout", + "Ab out", + "_ part", + "_p art", + "_par t", + "_pa rt", + "Ġ chair", + "Ġc hair", + "Ġch air", + "Ġcha ir", + "Ġchai r", + "Ġ stopped", + "Ġst opped", + "Ġstop ped", + "Ġsto pped", + "1 61", + "16 1", + "l oop", + "lo op", + "loo p", + "ent ities", + "enti ties", + "Ġ apps", + "Ġa pps", + "Ġapp s", + "Ġap ps", + "ans ion", + "ansi on", + "Ġ mental", + "Ġm ental", + "Ġmen tal", + "Ġment al", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "F R", + "Ġdef end", + "Ġdefe nd", + "c are", + "ca re", + "car e", + "Ġ ideal", + "Ġi deal", + "Ġide al", + "Ġidea l", + "/ api", + "/a pi", + "/ap i", + "ur face", + "urf ace", + "0 11", + "01 1", + "Ġ ele", + "Ġe le", + "Ġel e", + "u lator", + "ul ator", + "ula tor", + "Ġ Rights", + "ĠR ights", + "ĠRight s", + "angu ages", + "anguage s", + "Ġf unds", + "Ġfun ds", + "Ġfund s", + "Ġfu nds", + "Ġ adapt", + "Ġad apt", + "Ġada pt", + "Ġadap t", + "At tributes", + "Attribute s", + "Attrib utes", + "Ġ deploy", + "Ġde ploy", + "Ġdep loy", + "o pts", + "op ts", + "opt s", + "Ġ validation", + "Ġvalid ation", + "Ġvalida tion", + "Ġconcern s", + "u ce", + "uc e", + ". num", + ".n um", + "ul ture", + "ult ure", + "ultur e", + "i la", + "il a", + "Ġ cup", + "Ġc up", + "Ġcu p", + "Ġ pure", + "Ġp ure", + "Ġpur e", + "Ġpu re", + ". Fore", + ".F ore", + ".For e", + "1 83", + "18 3", + "Ġ HashMap", + "ĠHash Map", + ". valueOf", + ".value Of", + "a sm", + "as m", + "M O", + "Ġ cs", + "Ġc s", + "Ġ stores", + "Ġst ores", + "Ġstore s", + "Ġstor es", + "Ġsto res", + "Ġ ************************************************************************", + "Ġ**************************************************************** ********", + "Ġ******************************** ****************************************", + "Ġ******** ****************************************************************", + "Ġ**************** ********************************************************", + "Ġ************************ ************************************************", + "Ġ**************************************** ********************************", + "Ġ******************************************************** ****************", + "Ġ************************************************ ************************", + "Ġ communication", + "Ġcomm unication", + "Ġcommunic ation", + "Ġcommun ication", + "m em", + "me m", + ". EventHandler", + ".Event Handler", + ". Status", + ".S tatus", + ".St atus", + ".Stat us", + "_ right", + "_r ight", + ".set On", + "S heet", + "She et", + "Ġ identify", + "Ġident ify", + "ener ated", + "ene rated", + "enerate d", + "ord ered", + "order ed", + "orde red", + "Ġ \"[", + "Ġ\" [", + "Ġs we", + "Ġsw e", + "Con dition", + "Cond ition", + "Ġ According", + "ĠA ccording", + "ĠAcc ording", + "ĠAccord ing", + "Ġ prepare", + "Ġpre pare", + "Ġprepar e", + "Ġprep are", + "Ġ rob", + "Ġr ob", + "Ġro b", + "P ool", + "Po ol", + "Ġ sport", + "Ġs port", + "Ġsp ort", + "Ġspo rt", + "Ġspor t", + "r v", + "Ġ Router", + "ĠR outer", + "ĠRoute r", + "ĠRo uter", + "ĠRou ter", + "ĠRout er", + "Ġ alternative", + "Ġaltern ative", + "Ġalter native", + "( []", + "([ ]", + "Ġ Chicago", + "ĠCh icago", + "ĠChic ago", + "i pher", + "ip her", + "iph er", + "is che", + "isc he", + "isch e", + "Ġ Director", + "ĠD irector", + "ĠDirect or", + "ĠDir ector", + "ĠDire ctor", + "k l", + "Ġ Wil", + "ĠW il", + "ĠWi l", + "ke ys", + "key s", + "Ġ mysql", + "Ġm ysql", + "Ġmy sql", + "Ġmys ql", + "Ġ welcome", + "Ġw elcome", + "Ġwel come", + "k ing", + "ki ng", + "kin g", + "Ġ Manager", + "ĠM anager", + "ĠMan ager", + "ĠManage r", + "ĠMana ger", + "Ġ caught", + "Ġca ught", + ") }Ċ", + ")} Ċ", + "S core", + "Sc ore", + "_ PR", + "_P R", + "Ġ survey", + "Ġs urvey", + "Ġsur vey", + "Ġsurv ey", + "Ġsurve y", + "h ab", + "ha b", + "He aders", + "Header s", + "Head ers", + "A DER", + "AD ER", + "ADE R", + "Ġ decor", + "Ġde cor", + "Ġdec or", + "Ġdeco r", + "Ġturn s", + "Ġtur ns", + "Ġ radius", + "Ġr adius", + "Ġrad ius", + "Ġradi us", + "er rupt", + "err upt", + "C or", + "Co r", + "Ġ mel", + "Ġm el", + "Ġme l", + "Ġ intr", + "Ġin tr", + "Ġint r", + "( q", + "Ġ AC", + "ĠA C", + "a mos", + "am os", + "amo s", + "M AX", + "MA X", + "Ġ Grid", + "ĠG rid", + "ĠGr id", + "ĠGri d", + "Ġ Jesus", + "ĠJ esus", + "ĠJes us", + "ĠJe sus", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + ". DE", + ".D E", + "Ġ ts", + "Ġt s", + "Ġ linked", + "Ġlink ed", + "Ġlin ked", + "f ree", + "fr ee", + "fre e", + "Ġ Qt", + "ĠQ t", + "Ġ /**čĊ", + "Ġ/ **čĊ", + "Ġ/* *čĊ", + "Ġ/** čĊ", + "Ġf aster", + "Ġfa ster", + "Ġfast er", + "Ġfas ter", + "c tr", + "ct r", + "_ J", + "D T", + ". Check", + ".C heck", + ".Ch eck", + "Ġ combination", + "Ġcomb ination", + "Ġcombin ation", + "Ġint ended", + "Ġintend ed", + "- the", + "-t he", + "-th e", + "- type", + "-t ype", + "1 82", + "18 2", + "e ctors", + "ect ors", + "ec tors", + "ector s", + "a mi", + "am i", + "u ting", + "ut ing", + "uti ng", + "utin g", + "Ġ uma", + "Ġu ma", + "Ġum a", + "X ML", + "XM L", + "U CT", + "UC T", + "A p", + "Ġ Random", + "ĠR andom", + "ĠRand om", + "ĠRan dom", + "Ġ ran", + "Ġr an", + "Ġra n", + ". sort", + ".s ort", + ".so rt", + "Ġ sorted", + "Ġs orted", + "Ġsort ed", + "Ġsor ted", + "Ġsorte d", + ". Un", + ".U n", + "4 01", + "40 1", + "_ PER", + "_P ER", + "_PE R", + "it ory", + "itor y", + "ito ry", + "Ġ priority", + "Ġp riority", + "Ġprior ity", + "Ġpriorit y", + "Ġ Gal", + "ĠG al", + "ĠGa l", + "Ġ Old", + "ĠO ld", + "ĠOl d", + "h ot", + "ho t", + "Ġ Display", + "ĠD isplay", + "ĠDis play", + "ĠDisp lay", + "( sub", + "(s ub", + "_ TH", + "_T H", + "_ Y", + "Ġ Care", + "ĠC are", + "ĠCar e", + "ĠCa re", + "lo ading", + "load ing", + "K ind", + "Kin d", + "Ki nd", + "_ handle", + "_h andle", + "_hand le", + ", ,", + "r ase", + "ra se", + "ras e", + "_ replace", + "_re place", + "_rep lace", + ". addEventListener", + ".add EventListener", + "Ġ RT", + "ĠR T", + "1 72", + "17 2", + "Ġ entered", + "Ġen tered", + "Ġent ered", + "Ġenter ed", + "g ers", + "ge rs", + "ger s", + "Ġ ich", + "Ġi ch", + "Ġic h", + "( start", + "(st art", + "2 05", + "20 5", + "/ app", + "/a pp", + "/ap p", + "Ġbr other", + "Ġbro ther", + "Ġbroth er", + "M emory", + "Mem ory", + "Memo ry", + "Out let", + "Ġ utf", + "Ġu tf", + "Ġut f", + "p rec", + "pr ec", + "pre c", + "Ġ navigation", + "Ġn avigation", + "Ġnav igation", + "Ġnavig ation", + "O RK", + "OR K", + "Ġ dst", + "Ġd st", + "Ġds t", + "D etail", + "De tail", + "Det ail", + "Ġaud ience", + "Ġaudi ence", + "Ġ dur", + "Ġd ur", + "Ġdu r", + "Ġ cluster", + "Ġcl uster", + "un ched", + "unc hed", + "unch ed", + "Ġ ],", + "Ġ] ,", + "Ġcomfort able", + ". values", + ".value s", + ".val ues", + "Ġ Total", + "ĠT otal", + "ĠTo tal", + "ĠTot al", + "Ġ snap", + "Ġs nap", + "Ġsn ap", + "Ġsna p", + "Ġstand ards", + "Ġstandard s", + "Ġper formed", + "Ġperform ed", + "Ġperfor med", + "h and", + "ha nd", + "han d", + "( \"@", + "(\" @", + "å Ń", + "Ġ phil", + "Ġp hil", + "Ġph il", + "Ġphi l", + "i br", + "ib r", + "t rim", + "tr im", + "tri m", + "Ġ forget", + "Ġf orget", + "Ġfor get", + "Ġforg et", + "Ġforge t", + "1 57", + "15 7", + "Ġ doctor", + "Ġdo ctor", + "Ġdoc tor", + ". TextBox", + ".Text Box", + "3 77", + "37 7", + "i cons", + "ic ons", + "icon s", + "ico ns", + ", s", + "Ġ Op", + "ĠO p", + "S m", + "S top", + "St op", + "ĉ List", + "ĉL ist", + "ĉ u", + "Com ment", + "Comm ent", + "_ VERSION", + "_V ERSION", + "_VER SION", + ".X tra", + "P erson", + "Per son", + "Pers on", + "r b", + "L OB", + "LO B", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "Ġ Central", + "ĠC entral", + "ĠCent ral", + "2 70", + "27 0", + "I CK", + "IC K", + "r aq", + "ra q", + "Ġp utting", + "Ġput ting", + "Ġputt ing", + "Ġ md", + "Ġm d", + "Ġ Love", + "ĠL ove", + "ĠLo ve", + "ĠLov e", + "P rogram", + "Pro gram", + "Pr ogram", + "Prog ram", + "B order", + "o or", + "oo r", + "Ġall owing", + "Ġallow ing", + "Ġallo wing", + "a fter", + "af ter", + "aft er", + "Ġ entries", + "Ġen tries", + "Ġent ries", + "Ġentr ies", + "Ġ Maybe", + "ĠM aybe", + "ĠMay be", + "] ).", + "]) .", + "Ġ Short", + "ĠS hort", + "ĠSh ort", + "ĠSho rt", + ") \\", + ". now", + ".n ow", + ".no w", + "f riend", + "Ġ prefer", + "Ġp refer", + "Ġpre fer", + "Ġpref er", + "Ġ GPIO", + "ĠG PIO", + "ĠGP IO", + "ĠGPI O", + "o sis", + "os is", + "osi s", + "Ġ GameObject", + "ĠGame Object", + "Ġ skip", + "Ġs kip", + "Ġsk ip", + "Ġski p", + "Ġ competition", + "Ġcom petition", + "Ġcompet ition", + "Ġcompetit ion", + "_ match", + "_m atch", + "_mat ch", + "l ications", + "lic ations", + "lication s", + "_ CONT", + "_C ONT", + "_CON T", + "_CO NT", + ". groupBox", + ".group Box", + "Ġ als", + "Ġa ls", + "Ġal s", + "6 66", + "66 6", + "\" We", + "\"W e", + "_ eq", + "_e q", + "l an", + "la n", + "_ search", + "_s earch", + "_se arch", + "Ġ Music", + "ĠM usic", + "ĠMus ic", + "ĠMu sic", + "a sis", + "as is", + "asi s", + "Ġ bind", + "Ġb ind", + "Ġbi nd", + "Ġbin d", + "ĠIs land", + "ĠIsl and", + "r um", + "ru m", + "( E", + "Ġ seat", + "Ġs eat", + "Ġse at", + "Ġsea t", + "V ideo", + "Vi deo", + "Ġ ack", + "Ġa ck", + "Ġac k", + "re ek", + "ree k", + "={ ()", + "={( )", + "Ġ rating", + "Ġr ating", + "Ġrat ing", + "Ġra ting", + "Ġ restaurant", + "Ġrest aurant", + "Ġrestaur ant", + "Ġrestau rant", + "4 56", + "45 6", + "D EX", + "DE X", + "( buf", + "(b uf", + "p ping", + "pp ing", + "u ality", + "ual ity", + "uali ty", + "Ġ league", + "Ġle ague", + "1 76", + "17 6", + "Ġ focused", + "Ġf ocused", + "Ġfocus ed", + "Ġfoc used", + "a pon", + "ap on", + "apo n", + "$ data", + "$d ata", + "CL UD", + "CLU D", + "CLUD ING", + "Ġ absolute", + "Ġa bsolute", + "Ġabs olute", + "Ġabsolut e", + "Ġabsol ute", + "( query", + "(qu ery", + "Ġt ells", + "Ġtell s", + "Ġtel ls", + "A ng", + "An g", + "Ġcomm unities", + "Ġcommun ities", + "Ġh onest", + "Ġhon est", + "Ġho nest", + "Ġhone st", + "o king", + "ok ing", + "oki ng", + "okin g", + "Ġa part", + "Ġap art", + "Ġapar t", + "Ġapa rt", + "ar ity", + "ari ty", + "/ $", + "_ module", + "_m odule", + "_mod ule", + "Ġ Enc", + "ĠE nc", + "ĠEn c", + ". an", + ".a n", + ". Config", + ".Con fig", + "C re", + "Cr e", + "Ġsh ock", + "Ġsho ck", + "ĠA rab", + "ĠAr ab", + "ĠAra b", + "I ENT", + "IE NT", + "/ re", + "/r e", + "Ġre trie", + "Ġret rie", + "Ġretr ie", + "yc ler", + "ycle r", + "ycl er", + "i sa", + "is a", + "Ġ Organ", + "ĠO rgan", + "ĠOr gan", + "ĠOrg an", + ". graph", + ".g raph", + ".gr aph", + "Ġ í", + "ĠB AS", + "ĠBA S", + "E num", + "En um", + "Ġ possibly", + "Ġposs ibly", + "ÑĢ аÐ", + "ÑĢа Ð", + "Ġ Japanese", + "ĠJ apanese", + "ĠJapan ese", + "Ġ craft", + "Ġc raft", + "Ġcr aft", + "Ġcra ft", + "Ġ Place", + "ĠP lace", + "ĠPl ace", + "ĠPla ce", + "Ġt alent", + "Ġtal ent", + "Ġtale nt", + "Ġf unding", + "Ġfun ding", + "Ġfund ing", + "Ġ confirmed", + "Ġconf irmed", + "Ġconfirm ed", + "Ġ cycle", + "Ġc ycle", + "Ġcy cle", + "Ġcycl e", + "Ġcyc le", + "/ x", + "G E", + "Ġh earing", + "Ġhe aring", + "Ġhear ing", + "Ġ plants", + "Ġpl ants", + "Ġplan ts", + "Ġplant s", + "Ġpla nts", + "Ġ mouth", + "Ġm outh", + "Ġmo uth", + "Ġmou th", + "p ages", + "page s", + "pa ges", + "pag es", + "o ria", + "or ia", + "ori a", + "Ġ Remove", + "ĠRe move", + "ĠRem ove", + "_ total", + "_t otal", + "_to tal", + "_tot al", + "Ġ od", + "Ġo d", + "oll apse", + "d oor", + "do or", + "Ġb ought", + "Ġbo ught", + "Ġbou ght", + "Ġ addr", + "Ġadd r", + "Ġad dr", + "AR CH", + "ARC H", + "_ dim", + "_d im", + "_di m", + "d den", + "dd en", + "dde n", + "Ġdec ades", + "Ġdecade s", + "Ġdecad es", + "RE QUEST", + "REQ UEST", + "Ġ versions", + "Ġv ersions", + "Ġversion s", + "Ġvers ions", + "f ire", + "fi re", + "fir e", + "0 06", + "00 6", + "Ġ moves", + "Ġm oves", + "Ġmov es", + "Ġmove s", + "Ġmo ves", + "f b", + "Ġ coffee", + "Ġc offee", + "Ġco ffee", + "Ġcoff ee", + "Ġcof fee", + ". connect", + ".con nect", + ".conn ect", + "Ġ Row", + "ĠR ow", + "ĠRo w", + "Ġ schema", + "Ġs chema", + "Ġsch ema", + "Ġschem a", + "Ġsche ma", + "S cope", + "Sc ope", + "- Type", + "-T ype", + "Ġf ighting", + "Ġfight ing", + "Ġre tail", + "Ġr etail", + "Ġret ail", + "Ġ modified", + "Ġmod ified", + "T F", + "F iles", + "File s", + "Fi les", + "Fil es", + "n ie", + "ni e", + "_ command", + "_com mand", + "_comm and", + "s tone", + "st one", + "ston e", + "sto ne", + "Ġ ÑĤ", + "ĠÑ Ĥ", + "_ thread", + "_t hread", + "_th read", + "_thr ead", + "Ġ bond", + "Ġb ond", + "Ġbo nd", + "Ġbon d", + "Ġ Development", + "ĠDe velopment", + "ĠDev elopment", + "ĠDevelop ment", + "Ġ pt", + "Ġp t", + "F ORM", + "FO RM", + "FOR M", + "p let", + "pl et", + "ple t", + "Ġ identified", + "Ġident ified", + "c pp", + "cp p", + "2 06", + "20 6", + "2 25", + "22 5", + "Ġ coding", + "Ġc oding", + "Ġco ding", + "Ġcod ing", + "o ked", + "ok ed", + "oke d", + "Ġ Master", + "ĠM aster", + "ĠMa ster", + "ĠMas ter", + "ĠMast er", + "ID TH", + "Ġres idents", + "Ġresident s", + "Ġresid ents", + "Ġreside nts", + "r edit", + "re dit", + "red it", + "redi t", + "Ġ Photo", + "ĠPh oto", + "ĠPhot o", + "= -", + "u nte", + "un te", + "unt e", + "at eur", + "ate ur", + "1 59", + "15 9", + "_ STATE", + "_ST ATE", + "_STAT E", + "_STA TE", + "Ġ Sing", + "ĠS ing", + "ĠSi ng", + "ĠSin g", + "Ġ sheet", + "Ġs heet", + "Ġshe et", + ". val", + ".v al", + ".va l", + "or se", + "ors e", + "Ġh ers", + "Ġhe rs", + "Ġher s", + "Ġd etermined", + "Ġdetermin ed", + "Ġdetermine d", + "Ġdeterm ined", + "Com mon", + "Comm on", + "Ġ wed", + "Ġw ed", + "Ġwe d", + "_ queue", + "_q ueue", + "_que ue", + "P H", + "Ġ Atl", + "ĠA tl", + "ĠAt l", + "c red", + "cre d", + "cr ed", + "/ LICENSE", + "/L ICENSE", + "Ġ mes", + "Ġm es", + "Ġme s", + "Ġ advanced", + "Ġad vanced", + "Ġadv anced", + "Ġadvance d", + ". java", + ".j ava", + ".jav a", + ". Sh", + ".S h", + "G o", + "k ill", + "ki ll", + "kil l", + "f p", + "_ settings", + "_s ettings", + "_set tings", + "_setting s", + "Ġ pal", + "Ġp al", + "Ġpa l", + "Ġ truck", + "Ġtr uck", + "Ġ combined", + "Ġcomb ined", + "Ġcombine d", + "Ġcombin ed", + "Ġ \"${", + "Ġ\" ${", + "Ġ\"$ {", + "ĠC orpor", + "ĠCor por", + "ĠCorp or", + "Ġ joined", + "Ġj oined", + "Ġjoin ed", + "Ġjo ined", + "Ġ Jose", + "ĠJ ose", + "ĠJo se", + "ĠJos e", + "ĠC up", + "ĠCu p", + "u ns", + "un s", + "est ival", + "esti val", + "le vision", + "lev ision", + "Ġ broken", + "Ġb roken", + "Ġbr oken", + "Ġbro ken", + "Ġbroke n", + "Ġmar riage", + "Ġ Western", + "ĠWest ern", + "ĠWes tern", + "Ġrep resents", + "Ġrepresent s", + "Ġ Title", + "ĠT itle", + "ĠTi tle", + "ĠTit le", + "Ġ ss", + "Ġs s", + ". Ass", + ".A ss", + ".As s", + "ong oose", + "ongo ose", + "i ento", + "ient o", + "ien to", + "< >();Ċ", + "<>( );Ċ", + "<> ();Ċ", + "Ġabs olutely", + "Ġabsolute ly", + "Ġabsolut ely", + "Ġabsol utely", + "Ġ smooth", + "Ġsm ooth", + "Ġsmo oth", + "T ERN", + "TE RN", + "TER N", + "Ġ Unless", + "ĠUn less", + "W ord", + "Wo rd", + "Ġ merge", + "Ġm erge", + "Ġmer ge", + "Ġmerg e", + "i gan", + "ig an", + "iga n", + "Ġ Vol", + "ĠV ol", + "ĠVo l", + "Ġ nn", + "Ġn n", + ". getId", + ".get Id", + "Ġ з", + "ĠÐ ·", + "1 71", + "17 1", + "Ġ sexy", + "Ġse xy", + "Ġsex y", + "Ġse eking", + "Ġsee king", + "Ġseek ing", + "S ingle", + "Si ngle", + "Sin gle", + "Sing le", + ". this", + ".t his", + ".th is", + "1 79", + "17 9", + "Ġ kom", + "Ġk om", + "Ġko m", + "b ound", + "bo und", + "bou nd", + "; \"", + "Ġ fontSize", + "Ġfont Size", + "_ df", + "_d f", + "Ġin jury", + "Ġinj ury", + "( H", + "Ġ issued", + "Ġiss ued", + "Ġissue d", + "Ġissu ed", + "_ END", + "_E ND", + "_EN D", + ": self", + ":s elf", + "0 20", + "02 0", + "Ġ patch", + "Ġp atch", + "Ġpat ch", + "Ġle aves", + "Ġleave s", + "Ġ adopt", + "Ġad opt", + "Ġado pt", + "File Name", + "ãĢ IJ", + "Ġexec utive", + "Ġexecut ive", + "Ġ Byte", + "ĠB yte", + "ĠBy te", + "] ))Ċ", + "]) )Ċ", + "])) Ċ", + "Ġ nu", + "Ġn u", + "o uting", + "ou ting", + "out ing", + "cl uding", + "clud ing", + "- R", + ". options", + ".o ptions", + ".opt ions", + ".option s", + "Ġsub stant", + "Ġsubs tant", + "Ġsubst ant", + "av ax", + "ava x", + "ĠB UT", + "ĠBU T", + "Ġ technical", + "Ġtechn ical", + "Ġtw ice", + "Ġm ás", + "Ġmá s", + "Ġun ivers", + "Ġuni vers", + "y r", + "Ġ drag", + "Ġd rag", + "Ġdr ag", + "Ġdra g", + "Ġ DC", + "ĠD C", + "Ġ sed", + "Ġs ed", + "Ġse d", + "Ġ bot", + "Ġb ot", + "Ġbo t", + "Ġ Pal", + "ĠP al", + "ĠPa l", + "Ġ Hall", + "ĠH all", + "ĠHa ll", + "ĠHal l", + "force ment", + "forc ement", + "Ġa uch", + "Ġau ch", + "Ġauc h", + ". mod", + ".m od", + ".mo d", + "n otation", + "not ation", + "nota tion", + "_ files", + "_f iles", + "_file s", + "_fil es", + ". line", + ".l ine", + ".li ne", + ".lin e", + "_ flag", + "_f lag", + "_fl ag", + "[ name", + "[n ame", + "Ġ resolution", + "Ġre solution", + "Ġres olution", + "Ġb ott", + "Ġbo tt", + "Ġbot t", + "( \"[", + "(\" [", + "e nde", + "en de", + "end e", + "( arr", + "(a rr", + "(ar r", + "F ree", + "Fr ee", + "Fre e", + "( @\"", + "(@ \"", + "Ġ District", + "ĠD istrict", + "ĠDi strict", + "P EC", + "PE C", + ": -", + "P icker", + "Pic ker", + "Pi cker", + "Pick er", + "Ġ Jo", + "ĠJ o", + "Ġ ĠĠĠĠĊ", + "ĠĠ ĠĠĠĊ", + "ĠĠĠĠ ĠĊ", + "ĠĠĠ ĠĠĊ", + "ĠĠĠĠĠ Ċ", + "Ġ River", + "ĠR iver", + "ĠRiv er", + "ĠRi ver", + "_ rows", + "_r ows", + "_row s", + "_ro ws", + "Ġhelp ful", + "Ġmass ive", + "- --Ċ", + "-- -Ċ", + "--- Ċ", + "Ġme asures", + "Ġmeasure s", + "Ġmeas ures", + "0 07", + "00 7", + "Ġ Runtime", + "ĠR untime", + "ĠRun time", + "Ġw orry", + "Ġwor ry", + "Ġ Spec", + "ĠS pec", + "ĠSp ec", + "ĠSpe c", + "ĉ D", + "ãĢ ij", + "Ġ ){Ċ", + "Ġ) {Ċ", + "Ġ){ Ċ", + "Ġw orse", + "Ġwor se", + "Ġwors e", + "( filename", + "(f ilename", + "(file name", + "(fi lename", + "(fil ename", + "Ġ lay", + "Ġl ay", + "Ġla y", + "Ġ magic", + "Ġm agic", + "Ġmag ic", + "Ġ Their", + "ĠThe ir", + "o ul", + "ou l", + "st roy", + "str oy", + "stro y", + "Ġ Where", + "ĠW here", + "ĠWh ere", + "ĠWhe re", + "2 80", + "28 0", + "Ġs udden", + "Ġsu dden", + "Ġsud den", + "Ġd efe", + "Ġde fe", + "Ġdef e", + "Ġ binding", + "Ġb inding", + "Ġbin ding", + "Ġbind ing", + "Ġ flight", + "Ġf light", + "Ġfl ight", + "Ġ OnInit", + "ĠOn Init", + "Ġ Women", + "ĠW omen", + "ĠWo men", + "Ġ Policy", + "ĠP olicy", + "ĠPol icy", + "ĠPolic y", + "Ġdr ugs", + "Ġdrug s", + "Ġdru gs", + "ish ing", + "ishi ng", + "(' ../", + "('. ./", + "Ġ Mel", + "ĠM el", + "ĠMe l", + "p eat", + "pe at", + "t or", + "to r", + "Ġpro posed", + "Ġprop osed", + "Ġpropos ed", + "Ġpropose d", + "Ġst ated", + "Ġstate d", + "Ġstat ed", + "Ġsta ted", + "_ RES", + "_RE S", + "_R ES", + "Ġ east", + "Ġe ast", + "Ġeas t", + "Ġea st", + "2 12", + "21 2", + "Ġ CONDITION", + "ĠCON DITION", + "_ desc", + "_d esc", + "_de sc", + "_des c", + "Ġw inning", + "Ġwin ning", + "f olio", + "fo lio", + "fol io", + "M apper", + "Map per", + "Ma pper", + "Ġ Pan", + "ĠP an", + "ĠPa n", + "ĠA nge", + "ĠAn ge", + "ĠAng e", + ".s ervlet", + ".serv let", + "Ġ copies", + "Ġc opies", + "Ġco pies", + "Ġcop ies", + "L M", + "Ġ vm", + "Ġv m", + "å į", + "Ġ dictionary", + "Ġd ictionary", + "S eg", + "Se g", + "1 77", + "17 7", + "e lines", + "el ines", + "eline s", + "eli nes", + "elin es", + "Ġ Send", + "ĠS end", + "ĠSe nd", + "ĠSen d", + "Ġ iron", + "Ġi ron", + "Ġir on", + "Ġ Fort", + "ĠF ort", + "ĠFor t", + "ĠFo rt", + "1 66", + "16 6", + ". domain", + ".d omain", + ".do main", + ".dom ain", + "Ġde bate", + "Ġdeb ate", + "Not Null", + "e q", + "a cher", + "ac her", + "ach er", + "ache r", + "l f", + "ĉ fmt", + "ĉf mt", + "Ġl awy", + "Ġla wy", + "Ġlaw y", + "1 78", + "17 8", + "Ä Ł", + "Ġ Men", + "ĠM en", + "ĠMe n", + "Ġ trim", + "Ġt rim", + "Ġtr im", + "Ġtri m", + "( NULL", + "(N ULL", + "Ġ !!", + "Ġ! !", + "Ġ pad", + "Ġp ad", + "Ġpa d", + "Ġfollow s", + "Ġfoll ows", + "\" ][\"", + "\"] [\"", + "\"][ \"", + "r equ", + "re qu", + "req u", + "Ġ Ep", + "ĠE p", + ". github", + ".g ithub", + ".git hub", + "( img", + "(i mg", + "(im g", + "e to", + "et o", + "( '\\", + "(' \\", + "S ervices", + "Service s", + "Serv ices", + "umbn ail", + "_ main", + "_m ain", + "_ma in", + "p leted", + "pl eted", + "ple ted", + "plete d", + "plet ed", + "fort unately", + "fortunate ly", + "Ġ windows", + "Ġw indows", + "Ġwindow s", + "Ġwind ows", + "Ġ plane", + "Ġp lane", + "Ġpl ane", + "Ġplan e", + "Ġpla ne", + "Ġ Connection", + "ĠCon nection", + "ĠConnect ion", + "ĠConn ection", + ". local", + ".l ocal", + ".loc al", + ".lo cal", + "u ard", + "ua rd", + "uar d", + "} \\", + "= =\"", + "== \"", + "a ndon", + "an don", + "and on", + "ando n", + "Ġ Roy", + "ĠR oy", + "ĠRo y", + "w est", + "we st", + "1 58", + "15 8", + "ig inal", + "igin al", + "igi nal", + "em ies", + "emi es", + "emie s", + "i tz", + "it z", + "' ):Ċ", + "') :Ċ", + "'): Ċ", + "Ġ Peter", + "ĠP eter", + "ĠPe ter", + "ĠPet er", + "ĠPete r", + "Ġt ough", + "Ġto ugh", + "Ġtou gh", + "Ġre duced", + "Ġred uced", + "Ġredu ced", + "Ġreduce d", + "Ġ calculate", + "Ġc alculate", + "Ġcal culate", + "Ġcalcul ate", + "Ġcalc ulate", + "Ġ rapid", + "Ġr apid", + "Ġrap id", + "Ġra pid", + "c ustomer", + "custom er", + "cust omer", + "Ġ efficient", + "Ġeff icient", + "Ġeffic ient", + "Ġ medium", + "Ġm edium", + "Ġmed ium", + "Ġmedi um", + "Ġ fell", + "Ġf ell", + "Ġfe ll", + "Ġfel l", + ". ref", + ".re f", + ".r ef", + "Ġ Cas", + "ĠC as", + "ĠCa s", + "Ġ feedback", + "Ġfe edback", + "Ġfeed back", + "S peed", + "Sp eed", + "Spe ed", + "( output", + "(out put", + "a je", + "aj e", + "Ġ categories", + "Ġc ategories", + "Ġcategor ies", + "Ġcategorie s", + "Ġ fee", + "Ġf ee", + "Ġfe e", + "} ;", + "Ġ deleted", + "Ġde leted", + "Ġdel eted", + "Ġdelete d", + "Ġdelet ed", + "Ġdele ted", + "r eh", + "re h", + "Ġ proof", + "Ġp roof", + "Ġpro of", + "D esc", + "De sc", + "Des c", + "B uild", + "Bu ild", + "Ġs ides", + "Ġside s", + "Ġsi des", + "Ġsid es", + ". ArrayList", + ".Array List", + "- %", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ø ±", + ". match", + ".m atch", + ".mat ch", + "л и", + "Ġfe els", + "Ġfeel s", + "Ġfee ls", + "Ġachie ve", + "Ġach ieve", + "Ġc lim", + "Ġcl im", + "Ġcli m", + "_ ON", + "_O N", + "Ġ CD", + "ĠC D", + "Ġ teacher", + "Ġt eacher", + "Ġte acher", + "Ġteach er", + "Ġtea cher", + "_ current", + "_c urrent", + "_cur rent", + "_curr ent", + "b n", + "_ PL", + "_P L", + "is ting", + "ist ing", + "isti ng", + "E nable", + "En able", + "G EN", + "GE N", + "Ġ tv", + "Ġt v", + "Ġ sock", + "Ġs ock", + "Ġso ck", + "Ġsoc k", + "Ġ plays", + "Ġp lays", + "Ġpl ays", + "Ġplay s", + "Ġpla ys", + "Ġ discount", + "Ġdis count", + "Ġdisc ount", + "Ġdisco unt", + "Ġ KE", + "ĠK E", + "Ġ Debug", + "ĠDe bug", + "ĠDeb ug", + "F ore", + "For e", + "Fo re", + "Ġ Iraq", + "ĠI raq", + "ĠIr aq", + "Ġ appearance", + "Ġap pearance", + "Ġappear ance", + "M on", + "Mo n", + "Ġ styled", + "Ġst yled", + "Ġstyle d", + "Ġsty led", + "Ġstyl ed", + "Ġ Human", + "ĠH uman", + "ĠHum an", + "ĠHu man", + "i ot", + "io t", + "Ġ History", + "ĠH istory", + "ĠHi story", + "ĠHistor y", + "ĠHist ory", + "Ġs ac", + "Ġsa c", + "Ġ Collection", + "ĠC ollection", + "ĠCol lection", + "ĠColl ection", + "ĠCollect ion", + "Ġ recommended", + "Ġre commended", + "Ġrecomm ended", + "Ġrecommend ed", + ". Selected", + ".Se lected", + ".Select ed", + "Ġ organizations", + "Ġorgan izations", + "Ġorganization s", + "Ġorganiz ations", + "Ġdis covered", + "Ġdiscover ed", + "co hol", + "coh ol", + "a das", + "ad as", + "ada s", + "Ġ Thomas", + "ĠTh omas", + "ĠThom as", + "M ay", + "Ma y", + "Ġcon serv", + "Ġcons erv", + "Ġconse rv", + "Ġd omin", + "Ġdo min", + "Ġdom in", + "Ġ Follow", + "ĠF ollow", + "ĠFol low", + "Ġ Section", + "ĠS ection", + "ĠSe ction", + "ĠSec tion", + "ĠSect ion", + "Ġ Thanks", + "ĠTh anks", + "ĠThank s", + "ĠThan ks", + "User name", + "Ġ recipe", + "Ġrec ipe", + "Ġrecip e", + "Ġwonder ful", + ". sleep", + ".s leep", + "_ if", + "_i f", + "ĉ ĊĉĊ", + "ĉĊ ĉĊ", + "or no", + "orn o", + "Ġ ru", + "Ġr u", + "_ target", + "_t arget", + "_tar get", + ". \"\"", + ".\" \"", + "à ¦", + "Event Args", + "Ġ inputs", + "Ġin puts", + "Ġinput s", + "Ġinp uts", + "Ġf if", + "Ġfi f", + "Ġ vision", + "Ġv ision", + "Ġvis ion", + "c y", + "Ġ Series", + "ĠS eries", + "ĠSe ries", + "ĠSer ies", + "ĠSerie s", + ") (((", + ")( ((", + ")(( (", + "Ġtr ading", + "Ġtrad ing", + "Ġtra ding", + "Ġtradi ng", + "Ġ marker", + "Ġm arker", + "Ġmark er", + "Ġmar ker", + "B egin", + "Be gin", + "Ġ typically", + "Ġtyp ically", + "Ġtypical ly", + "Ġc auses", + "Ġca uses", + "Ġcause s", + "Ġcaus es", + "d ropdown", + "drop down", + "_ DEBUG", + "_DE BUG", + "2 60", + "26 0", + "Ġ detect", + "Ġd etect", + "Ġdet ect", + "c ountry", + "count ry", + "! \");Ċ", + "!\" );Ċ", + "!\"); Ċ", + "!\") ;Ċ", + "ĉ R", + "a ppy", + "ap py", + "app y", + "Ġc ref", + "Ġcr ef", + "Ġcre f", + "( '<", + "(' <", + "\" =>", + "Ġ LE", + "ĠL E", + "re ader", + "read er", + "rea der", + "Ġ administr", + "Ġadmin istr", + "à µ", + "u cket", + "uc ket", + "uck et", + "Ġf ashion", + ". char", + ".c har", + ".ch ar", + "i zar", + "iz ar", + "iza r", + "Ġ disable", + "Ġd isable", + "Ġdis able", + "Ġs uc", + "Ġsu c", + "Ġ Live", + "ĠL ive", + "ĠLi ve", + "ĠLiv e", + "i ssue", + "iss ue", + "Ġ metadata", + "Ġm etadata", + "Ġmet adata", + "Ġmeta data", + "f lags", + "fl ags", + "flag s", + "Ġ ðŁ", + "Ġð Ł", + "Ġ committed", + "Ġcom mitted", + "Ġcomm itted", + "Ġcommit ted", + "Ġ va", + "Ġv a", + "Ġ rough", + "Ġr ough", + "Ġro ugh", + "Ġrou gh", + "Ġ '''Ċ", + "Ġ' ''Ċ", + "Ġ'' 'Ċ", + "Ġ''' Ċ", + "Ġ highlight", + "Ġhigh light", + "_ vars", + "_v ars", + "_var s", + "_va rs", + "V O", + "Ġ encoding", + "Ġen coding", + "Ġenc oding", + "- Z", + "_ sign", + "_s ign", + "_sig n", + "_si gn", + "$ (\"#", + "$( \"#", + "$(\" #", + "Ġ rain", + "Ġr ain", + "Ġra in", + "re atest", + "reate st", + "reat est", + "rea test", + "Ġ END", + "ĠE ND", + "ĠEN D", + "S election", + "Se lection", + "Select ion", + "Sel ection", + "Sele ction", + "Ġ candidates", + "Ġc andidates", + "Ġcandid ates", + "Ġcandidate s", + "Ġ sav", + "Ġs av", + "Ġsa v", + ". Empty", + "Ġdec isions", + "Ġdecision s", + "Ġdecis ions", + "Ġcoll abor", + "r idge", + "ri dge", + "rid ge", + "f eed", + "fe ed", + "fee d", + "r ession", + "ress ion", + "Ġ persons", + "Ġper sons", + "Ġperson s", + "Ġpers ons", + "Ġperso ns", + "V M", + "0 08", + "00 8", + "e ga", + "eg a", + "_ BIT", + "_B IT", + "A ccording", + "Acc ording", + "ack ed", + "ac ked", + "Ġdoll ars", + "Ġdollar s", + "_ loss", + "_l oss", + "_lo ss", + "Ġ Cost", + "ĠC ost", + "ĠCo st", + "ĠCos t", + "} \"Ċ", + "}\" Ċ", + "Not ification", + "Ġpro stit", + "Ġpros tit", + "Ġprost it", + "Ġ authority", + "Ġauthor ity", + ". rec", + ".re c", + ".r ec", + "Ġsp okes", + "Ġspoke s", + "Ġspo kes", + "Ġ Today", + "ĠT oday", + "ĠTo day", + "ĠTod ay", + "i stant", + "is tant", + "ist ant", + "istan t", + "ista nt", + "Ġ Head", + "ĠH ead", + "ĠHe ad", + "âĢĿ .", + "er tainment", + "ert ainment", + "ertain ment", + "c ean", + "ce an", + "cea n", + "c ulate", + "cul ate", + "cu late", + "Ġ ven", + "Ġv en", + "Ġve n", + "How ever", + "_ arr", + "_a rr", + "_ar r", + "Ġ tokens", + "Ġt okens", + "Ġtoken s", + "Ġtok ens", + "G raph", + "Gr aph", + "Ġ Jud", + "ĠJ ud", + "ĠJu d", + "Ġ Virgin", + "ĠVir gin", + "Ġ Serial", + "ĠS erial", + "ĠSe rial", + "ĠSer ial", + "un ning", + "unn ing", + "M utable", + "Mu table", + "Mut able", + "a gers", + "ag ers", + "age rs", + "ager s", + ". csv", + ".c sv", + ".cs v", + "Ġdevelop ing", + "Ġdevel oping", + "Ġ instructions", + "Ġin structions", + "Ġinstruction s", + "Ġinstr uctions", + "Ġinstruct ions", + "Ġ promise", + "Ġp romise", + "Ġpro mise", + "Ġprom ise", + "Ġ requested", + "Ġrequest ed", + "Ġrequ ested", + "_ encode", + "_en code", + "_enc ode", + "/ \"", + "Ġ Icon", + "ĠI con", + "u ilt", + "ui lt", + "uil t", + "- day", + "-d ay", + "-da y", + "Ġ intelligence", + "Ġint elligence", + "Ġintellig ence", + ". IS", + ".I S", + "Ġ Observable", + "ĠO bservable", + "ĠObserv able", + "Ġ Hard", + "ĠH ard", + "ĠHar d", + "ĠHa rd", + "B ool", + "Bo ol", + "2 11", + "21 1", + "id ential", + "ident ial", + ". Anchor", + ".An chor", + "Ġ selling", + "Ġs elling", + "Ġsell ing", + "Ġsel ling", + "C I", + "A GES", + "AG ES", + "AGE S", + "t le", + "tl e", + "b ur", + "bu r", + "UFF ER", + "UF FER", + "R Y", + "Ġb igger", + "Ġbig ger", + "Ġbi gger", + "Ġ rat", + "Ġr at", + "Ġra t", + "Ġf amous", + "Ġfam ous", + "Ġ typename", + "Ġtype name", + "Ġtyp ename", + "Ġ explained", + "Ġexpl ained", + "Ġexplain ed", + "} }Ċ", + "}} Ċ", + "Ġn uclear", + "Ġnu clear", + "Ġnucle ar", + "- N", + "Ġcr isis", + "Ġcri sis", + "Ġcris is", + "Ġ Enter", + "ĠEn ter", + "ĠEnt er", + "Ġ answers", + "Ġan swers", + "Ġanswer s", + "Ġans wers", + "/ ${", + "/$ {", + "/ pl", + "/p l", + "Ġ sequ", + "Ġs equ", + "Ġse qu", + "Ġseq u", + "_ next", + "_n ext", + "_ne xt", + "m ask", + "ma sk", + "mas k", + "Ġ standing", + "Ġst anding", + "Ġstand ing", + "Ġstan ding", + "Ġpl enty", + "Ġple nty", + "Ġ Cross", + "ĠC ross", + "ĠCr oss", + "ĠCro ss", + "ĠCros s", + "ĉ ret", + "ĉr et", + "ĉre t", + "d ro", + "dr o", + "Ġ Cast", + "ĠC ast", + "ĠCas t", + "ĠCa st", + "1 67", + "16 7", + "= true", + "Ġ Chris", + "ĠCh ris", + "ĠChr is", + "i cio", + "ic io", + "ici o", + "Ġ Mike", + "ĠM ike", + "ĠMi ke", + "ĠMik e", + "D ecimal", + "De cimal", + "Dec imal", + "add Component", + "L en", + "Le n", + "Ġ cock", + "Ġc ock", + "Ġco ck", + "Ġcoc k", + "Ġ #{", + "Ġ# {", + "U RN", + "UR N", + "< tr", + "", + "\\\" >", + "Ġ *=", + "Ġ* =", + "Ġ PS", + "ĠP S", + "Ġdanger ous", + "[ p", + "O ME", + "OM E", + "O ther", + "Ot her", + "Ġ StringBuilder", + "ĠString Builder", + "P oints", + "Point s", + "Po ints", + "he ading", + "head ing", + "hea ding", + "Ġ currency", + "Ġc urrency", + "Ġcurr ency", + "Ġ percentage", + "Ġper centage", + "Ġpercent age", + "_ API", + "_A PI", + "_AP I", + "Ġ classic", + "Ġclass ic", + "Ġcl assic", + "Ġclas sic", + "t head", + "th ead", + "the ad", + "Ġ MO", + "ĠM O", + "F E", + "I dx", + "Id x", + "a wait", + "aw ait", + "awa it", + "awai t", + "Ġ è", + "Ġà ¨", + "Ġacc ident", + "Ġ variant", + "Ġv ariant", + "Ġvar iant", + "Ġvari ant", + "Ġm yst", + "Ġmy st", + "Ġmys t", + "Ġ Land", + "ĠL and", + "ĠLa nd", + "ĠLan d", + "Ġ Bre", + "ĠB re", + "ĠBr e", + "Ġh arm", + "Ġhar m", + "Ġha rm", + "Ġ Acc", + "ĠA cc", + "ĠAc c", + "Ġ charged", + "Ġch arged", + "Ġchar ged", + "Ġcharg ed", + "Ġcharge d", + "i ones", + "ion es", + "io nes", + "ione s", + "Vis ibility", + "ar ry", + "arr y", + "Ġ Language", + "ĠL anguage", + "Ġ walking", + "Ġw alking", + "Ġwalk ing", + "Ġwal king", + "\" .ĊĊ", + "\". ĊĊ", + "\".Ċ Ċ", + "i fer", + "if er", + "ife r", + "Ġleaders hip", + "Ġleader ship", + ". From", + ".F rom", + "y nam", + "yn am", + "yna m", + "Ġ timestamp", + "Ġt imestamp", + "Ġtime stamp", + "i pt", + "ip t", + "Ġ Has", + "ĠH as", + "ĠHa s", + "RE FER", + "REF ER", + "Ġ Its", + "ĠI ts", + "ĠIt s", + "Ġ listener", + "Ġlist ener", + "Ġlisten er", + "Ġliste ner", + "Ġlis tener", + "U TE", + "UT E", + "2 13", + "21 3", + "_ description", + "_d escription", + "_de scription", + "_des cription", + "Ġex periences", + "Ġexper iences", + "Ġexperience s", + "Ġexperi ences", + "Ġ creates", + "Ġcreate s", + "Ġcre ates", + "Ġcreat es", + "Ġcrea tes", + "R S", + "c art", + "ca rt", + "car t", + "b lack", + "bl ack", + "bla ck", + "Ġ choices", + "Ġcho ices", + "Ġchoice s", + "w ar", + "wa r", + "7 50", + "75 0", + "Ġ '''", + "Ġ' ''", + "Ġ'' '", + "Ġ ordered", + "Ġorder ed", + "Ġord ered", + "Ġeven ing", + "Ġev ening", + "Ġeve ning", + "Ġp il", + "Ġpi l", + "Ġt un", + "Ġtu n", + "Ġ Bad", + "ĠB ad", + "ĠBa d", + "( app", + "(a pp", + "(ap p", + "r andom", + "ran dom", + "rand om", + "Ġ explicit", + "Ġexp licit", + "Ġexpl icit", + "Ġexplic it", + "Ġarr ived", + "Ġarrive d", + "Ġarriv ed", + "Ġ fly", + "Ġf ly", + "Ġfl y", + "Ġe conom", + "Ġecon om", + "Ġec onom", + "Ġeco nom", + "- mail", + "-m ail", + "Ġ lists", + "Ġl ists", + "Ġli sts", + "Ġlist s", + "Ġlis ts", + "Ġarch itect", + "Ġarchit ect", + "2 34", + "23 4", + "Ġ Pay", + "ĠP ay", + "ĠPa y", + "Ġ ds", + "Ġd s", + "Ġ Sol", + "ĠS ol", + "ĠSo l", + "Ġ vehicles", + "Ġv ehicles", + "Ġveh icles", + "Ġvehicle s", + "H z", + "- com", + "-c om", + "-co m", + "Ġ king", + "Ġk ing", + "Ġki ng", + "Ġkin g", + "_ equal", + "_e qual", + "_eq ual", + "_equ al", + "Ġ Help", + "ĠH elp", + "ĠHe lp", + "ĠHel p", + "Ġab use", + "4 80", + "48 0", + "1 69", + "16 9", + "-- ;Ċ", + "--; Ċ", + "Ġ extr", + "Ġex tr", + "Ġext r", + "Ġ chemical", + "Ġchem ical", + "ä ¿", + "Ġ orient", + "Ġo rient", + "Ġor ient", + "Ġori ent", + "Ġbre ath", + "Ġbreat h", + "Ġ Space", + "ĠS pace", + "ĠSp ace", + "ĠSpa ce", + "( element", + "(e lement", + "(el ement", + "(elem ent", + "(ele ment", + "w ait", + "wa it", + "D ED", + "DE D", + "ig ma", + "igm a", + "Ġ entr", + "Ġen tr", + "Ġent r", + "Ġ sob", + "Ġs ob", + "Ġso b", + "- name", + "-n ame", + "-na me", + "Ġ affected", + "Ġaff ected", + "Ġaffect ed", + "i ka", + "ik a", + "Ġ coal", + "Ġco al", + "_ work", + "_w ork", + "_wo rk", + "Ġh undreds", + "Ġhundred s", + "Ġpol itics", + "Ġpolit ics", + "Ġpolitic s", + "sub ject", + "su bject", + "subj ect", + "Ġ consumer", + "Ġcon sumer", + "Ġcons umer", + "Ġconsum er", + "Ġconsume r", + "AN GE", + "ANG E", + "Ġre peated", + "Ġrep eated", + "Ġrepe ated", + "Ġrepeat ed", + "S end", + "Se nd", + "Sen d", + "Ġ #[", + "Ġ# [", + "Ġ protocol", + "Ġprot ocol", + "Ġproto col", + "Ġ leads", + "Ġle ads", + "Ġlead s", + "us eum", + "use um", + "E very", + "Ev ery", + "Ever y", + "8 08", + "80 8", + "1 74", + "17 4", + "Im port", + "Imp ort", + "( count", + "(c ount", + "(co unt", + "Ġch allenges", + "Ġchalleng es", + "Ġchallenge s", + "Ġn ovel", + "Ġno vel", + "Ġnov el", + "Ġ depart", + "Ġde part", + "Ġdep art", + "b its", + "bit s", + "bi ts", + ". Current", + ".C urrent", + "Ġ `${", + "Ġ` ${", + "Ġ`$ {", + "o ting", + "ot ing", + "oti ng", + "( \\", + "Ġ creative", + "Ġc reative", + "Ġcre ative", + "Ġcreat ive", + "Ġ buff", + "Ġb uff", + "Ġbu ff", + "Ġbuf f", + "Ġint roduced", + "Ġintrodu ced", + "Ġintroduce d", + "Ġintro duced", + "u sic", + "us ic", + "usi c", + "mod ules", + "module s", + "A re", + "Ar e", + "- doc", + "-d oc", + "-do c", + "l anguage", + "_ cache", + "_c ache", + "_ca che", + "Ġ tod", + "Ġt od", + "Ġto d", + "? > < /", + "om ething", + "ome thing", + "Ġh un", + "Ġhu n", + "å º", + "a ters", + "at ers", + "ate rs", + "ater s", + "In tent", + "Int ent", + "Ġ implemented", + "Ġim plemented", + "Ġimplement ed", + "Ġ Case", + "ĠC ase", + "ĠCas e", + "ĠCa se", + "Ch ildren", + "Child ren", + "Ġ notification", + "Ġnot ification", + "Render er", + "W rapper", + "Wrap per", + "Wr apper", + "Object s", + "Obj ects", + "t l", + ". Contains", + ".Cont ains", + ".Con tains", + "Pl ugin", + "Plug in", + ". row", + ".r ow", + ".ro w", + "Ġ forg", + "Ġf org", + "Ġfor g", + "Ġfo rg", + "Ġ permit", + "Ġper mit", + "Ġperm it", + "Ġ targets", + "Ġtarget s", + "Ġtar gets", + "Ġtarg ets", + "Ġ IF", + "ĠI F", + "Ġ tip", + "Ġt ip", + "Ġti p", + "s ex", + "se x", + "Ġ supports", + "Ġsup ports", + "Ġsupport s", + "Ġsupp orts", + "Ġ fold", + "Ġf old", + "Ġfol d", + "Ġfo ld", + "ph oto", + "phot o", + "} ,čĊ", + "}, čĊ", + "Ġ google", + "Ġg oogle", + "Ġgo ogle", + "Ġgoog le", + "Ġgoo gle", + "$ ('#", + "$( '#", + "$(' #", + "Ġ sharing", + "Ġsh aring", + "Ġsha ring", + "Ġshar ing", + "Ġ goods", + "Ġg oods", + "Ġgo ods", + "Ġgood s", + "Ġgoo ds", + "v s", + "Ġ Dan", + "ĠD an", + "ĠDa n", + "R ate", + "Ra te", + "Ġ Martin", + "ĠM artin", + "ĠMar tin", + "ĠMart in", + "Ġm anner", + "Ġman ner", + "Ġmann er", + "l ie", + "li e", + ". The", + ".T he", + ".Th e", + "In ternal", + "Int ernal", + "Inter nal", + "Intern al", + "ĠCON TR", + "ĠCONT R", + "M ock", + "Mo ck", + "R IGHT", + "Ġ '{", + "Ġ' {", + "Ġ controls", + "Ġcontrol s", + "Ġcontr ols", + "Ġcontro ls", + "M at", + "Ma t", + "Ġ mand", + "Ġm and", + "Ġman d", + "Ġma nd", + "Ġ extended", + "Ġext ended", + "Ġextend ed", + "O k", + "Ġ embed", + "Ġem bed", + "Ġemb ed", + "Ġ planet", + "Ġplan et", + "Ġplane t", + "Ġpla net", + "Ġ Non", + "ĠN on", + "ĠNo n", + "- ch", + "-c h", + ") \",", + ")\" ,", + "e par", + "ep ar", + "Ġbel ieved", + "Ġbelie ved", + "Ġbelieve d", + "Ġ Environment", + "ĠEn vironment", + "Ġ Friend", + "ĠF riend", + "ĠFri end", + "- res", + "-r es", + "-re s", + "Ġ handling", + "Ġhand ling", + "Ġhan dling", + "n ic", + "ni c", + "- level", + "-le vel", + "s cri", + "sc ri", + "scr i", + "X ml", + "B E", + "u ngen", + "un gen", + "ung en", + "unge n", + "Ġ alter", + "Ġal ter", + "Ġalt er", + "Ġalte r", + "[ idx", + "[i dx", + "[id x", + "P op", + "Po p", + "c am", + "ca m", + "Ġ (((", + "Ġ( ((", + "Ġ(( (", + "Ġ shipping", + "Ġsh ipping", + "Ġship ping", + "Ġ battery", + "Ġb attery", + "Ġbatter y", + "Ġbatt ery", + "Ġbat tery", + "iddle ware", + "M C", + "Ġ impl", + "Ġi mpl", + "Ġim pl", + "Ġimp l", + "ot ation", + "ota tion", + "Ġ Lab", + "ĠL ab", + "ĠLa b", + "< form", + " {{", + ">{ {", + "Ġ Resource", + "ĠRe source", + "ĠRes ource", + "Ġ Standard", + "ĠSt andard", + "ĠStand ard", + "Ġ Prem", + "ĠP rem", + "ĠPr em", + "ĠPre m", + "up dated", + "update d", + "upd ated", + "iv alent", + "ival ent", + "Ġ assets", + "Ġas sets", + "Ġass ets", + "Ġasset s", + "_ temp", + "_t emp", + "_tem p", + "_te mp", + "Ġinter ests", + "Ġinterest s", + "Ġinteres ts", + "Ġ hardware", + "Ġh ardware", + "Ġhard ware", + "Ġ Rom", + "ĠR om", + "ĠRo m", + "Ġ Share", + "ĠS hare", + "ĠSh are", + "ĠSha re", + "ĠShar e", + "Ġ ''Ċ", + "Ġ' 'Ċ", + "Ġ'' Ċ", + "Ġ *,", + "Ġ* ,", + "Ġ Take", + "ĠT ake", + "ĠTa ke", + "ĠTak e", + "Ġ Images", + "ĠIm ages", + "ĠImage s", + "ĠImag es", + "_ CHECK", + "_C HECK", + "( typeof", + "(type of", + "(typ eof", + "Ġ Jun", + "ĠJ un", + "ĠJu n", + "\\< ^", + "Ġ liqu", + "Ġl iqu", + "Ġli qu", + "Ġw orst", + "Ġwor st", + "Ġwo rst", + "Ġwors t", + "ymb ols", + "ymbol s", + "ĉ ĉĉĠĠĠ", + "ĉĉ ĉĠĠĠ", + "ĉĉĉ ĠĠĠ", + "ĉĉĉĠ ĠĠ", + "ĉĉĉĠĠ Ġ", + "Ġ drivers", + "Ġdr ivers", + "Ġdriver s", + "Ġdrive rs", + "Ġdriv ers", + "Ġdri vers", + "Ġ Document", + "ĠD ocument", + "ĠDoc ument", + "e no", + "en o", + "Ġ Technology", + "ĠTechn ology", + "Ġ approved", + "Ġap proved", + "Ġappro ved", + "Ġapprove d", + "u mps", + "um ps", + "ump s", + "Ġ snow", + "Ġs now", + "Ġsn ow", + "Ġsno w", + "form ance", + "forma nce", + "forman ce", + "_ ASSERT", + "_A SSERT", + "_ASS ERT", + "u its", + "ui ts", + "uit s", + "2 07", + "20 7", + "Ù Ĩ", + "Ġd ifferences", + "Ġdif ferences", + "Ġdiffer ences", + "Ġdifference s", + ". Visible", + ".V isible", + "ĉ ĉĉčĊ", + "ĉĉ ĉčĊ", + "ĉĉĉ čĊ", + "Ġ Ps", + "ĠP s", + "_ fetch", + "_f etch", + "Ġ todo", + "Ġt odo", + "Ġto do", + "Ġtod o", + ". ',Ċ", + ".' ,Ċ", + ".', Ċ", + "Ġ sel", + "Ġs el", + "Ġse l", + "ur ers", + "ure rs", + "urer s", + "in valid", + "Ġ tweet", + "Ġt weet", + "Ġtwe et", + "Ġtwee t", + "V EL", + "VE L", + "Ġresearch ers", + "Ġresearcher s", + "Ġ sprintf", + "Ġs printf", + "Ġsprint f", + "Ġ RO", + "ĠR O", + "Ġ pel", + "Ġp el", + "Ġpe l", + ". Trans", + ".T rans", + ".Tr ans", + "Ġ illegal", + "Ġil legal", + "Ġill egal", + "Ġilleg al", + "d ialog", + "di alog", + "dia log", + "sm arty", + "smart y", + "l g", + "_ MIN", + "_M IN", + "_MI N", + "Ġ hero", + "Ġh ero", + "Ġhe ro", + "Ġher o", + "f inal", + "fin al", + "fi nal", + "Ġ pp", + "Ġp p", + ". Le", + ".L e", + "Ġ ci", + "Ġc i", + "ĉ RT", + "ĉR T", + "Ġs uggested", + "Ġsuggest ed", + "p df", + "pd f", + "a ching", + "ach ing", + "achi ng", + "Ġ Ro", + "ĠR o", + "Ġ Properties", + "ĠP roperties", + "ĠProp erties", + "ĠProper ties", + "Ġ Si", + "ĠS i", + "Ġbu ying", + "Ġbuy ing", + "Ġ mu", + "Ġm u", + "Ġ lands", + "Ġl ands", + "Ġla nds", + "Ġland s", + "Ġlan ds", + "if iers", + "ifier s", + "ifi ers", + "ifie rs", + "Ġ FILE", + "ĠF ILE", + "ĠFI LE", + "ĠFIL E", + "RO UP", + "Ġ holder", + "Ġh older", + "Ġhold er", + "Ġho lder", + "Ġhol der", + "Ġ Son", + "ĠS on", + "ĠSo n", + "Ġsym pt", + "Ġsymp t", + ". route", + ".r oute", + ".ro ute", + ") ?", + "Ġ argc", + "Ġar gc", + "Ġarg c", + "Ġ fort", + "Ġf ort", + "Ġfor t", + "Ġfo rt", + "Ġcas ino", + "Ġcasi no", + "_ category", + "_c ategory", + "Ġ forum", + "Ġf orum", + "Ġfor um", + "Ġfo rum", + "2 15", + "21 5", + "p refix", + "pre fix", + "pref ix", + "ap ture", + "apt ure", + "T ube", + "Tu be", + "e ms", + "em s", + "im ize", + "imi ze", + "imiz e", + "Ġn ue", + "Ġnu e", + "a us", + "au s", + "c ourse", + "co urse", + "cour se", + "A TOR", + "AT OR", + "ATO R", + "( )),", + "() ),", + "()) ,", + "Ad vertis", + "IN GS", + "ING S", + "Ġac know", + "Ġack now", + "ĠK orea", + "ĠKore a", + "ĠKo rea", + "ĠKor ea", + "p ling", + "pl ing", + "Ġ worker", + "Ġwork er", + "Ġwor ker", + "PL IED", + "h al", + "ha l", + "Ġ Richard", + "ĠRich ard", + "ĠRic hard", + "E lements", + "Element s", + "El ements", + "Elem ents", + "Ele ments", + "ĉ ĉĉĠ", + "ĉĉ ĉĠ", + "ĉĉĉ Ġ", + "s tar", + "st ar", + "sta r", + "Ġ relationships", + "Ġrelations hips", + "Ġrelationship s", + "Ġrelation ships", + "Ġ cheap", + "Ġc heap", + "Ġche ap", + "A CH", + "AC H", + "Ġ XML", + "ĠX ML", + "ĠXM L", + ", &", + "Ġ Louis", + "ĠL ouis", + "ĠLo uis", + "ĠLou is", + "Ġ ride", + "Ġr ide", + "Ġrid e", + "Ġri de", + "_ FAIL", + "_F AIL", + "_FA IL", + "Ġ chunk", + "Ġch unk", + "Ġchu nk", + "[ s", + "_ OUT", + "_O UT", + "Ġ chosen", + "Ġch osen", + "Ġcho sen", + "Ġchose n", + "_ [", + "/ (", + "Ġ Jeff", + "ĠJ eff", + "ĠJe ff", + "_ sl", + "_s l", + "p riv", + "pr iv", + "pri v", + "Ġ Canadian", + "ĠCan adian", + "Ġ unable", + "Ġu nable", + "Ġun able", + "Ġuna ble", + "Ġunab le", + "_ FLAG", + "_F LAG", + "_FL AG", + "Ġ nos", + "Ġn os", + "Ġno s", + "h igh", + "hi gh", + "Ġ lift", + "Ġl ift", + "Ġli ft", + "Ġlif t", + "f un", + "fu n", + "( ){", + "() {", + "el ly", + "ell y", + "ycler View", + "_ as", + "_a s", + "_ LIST", + "_L IST", + "Ġ radi", + "Ġr adi", + "Ġrad i", + "Ġra di", + ". getValue", + ".get Value", + "3 04", + "30 4", + "ĠAnge les", + "ĠAngel es", + "Ġ Span", + "ĠS pan", + "ĠSp an", + "ĠSpa n", + "_ instance", + "_in stance", + "_inst ance", + "i tors", + "it ors", + "itor s", + "ito rs", + "2 08", + "20 8", + "Ġ migration", + "Ġm igration", + "Ġmigr ation", + "Ġmig ration", + "A K", + "O h", + " ®", + ". selected", + ".se lected", + ".select ed", + ".sel ected", + "Ġ GT", + "ĠG T", + "Ġ advance", + "Ġadv ance", + "Ġ Style", + "ĠSt yle", + "ĠSty le", + ". DataGridView", + ".Data GridView", + "e ction", + "ect ion", + "ec tion", + "Ñ İ", + "p io", + "pi o", + "r og", + "ro g", + "Ġ shopping", + "Ġsh opping", + "Ġshop ping", + "Ġsho pping", + "Ġ Rect", + "ĠR ect", + "ĠRe ct", + "ĠRec t", + "I lluminate", + "O U", + "ĉ array", + "ĉa rray", + "ĉarr ay", + "ĉar ray", + "Ġsub stantial", + "Ġsubstant ial", + "Ġp regn", + "Ġpre gn", + "Ġpreg n", + "Ġprom ote", + "Ġpromot e", + "Ġpromo te", + "I EW", + "IE W", + ". Layout", + ".L ayout", + "Ġsign s", + "Ġsig ns", + "/ .", + "Ġ letters", + "Ġlet ters", + "Ġletter s", + "Ġlett ers", + "B oard", + "Bo ard", + "c trl", + "ct rl", + "ctr l", + "\" \\", + "Ġ Jones", + "ĠJ ones", + "ĠJo nes", + "ĠJon es", + "Ġ vertex", + "Ġver tex", + "Ġvert ex", + "Ġverte x", + "Ġ ja", + "Ġj a", + "Ġaff ili", + "Ġ wealth", + "Ġwe alth", + "ĉ default", + "ĉd efault", + "ĉdef ault", + "ĉde fault", + "Ġsign ificantly", + "Ġsignific antly", + "Ġsignificant ly", + "Ġ ec", + "Ġe c", + "Ġ xs", + "Ġx s", + "act ual", + "ac tual", + ". per", + ".p er", + ".pe r", + "_ step", + "_s tep", + "_st ep", + "_ste p", + "an vas", + "m ac", + "ma c", + "Ġtrans l", + "Ġtran sl", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "It erator", + "Iter ator", + "Ġ och", + "Ġo ch", + "Ġoc h", + "ag nostic", + "agnost ic", + "Ġ During", + "ĠD uring", + "ĠDu ring", + "ĠDur ing", + "Ġ DEFAULT", + "ĠD EFAULT", + "ĠDE FAULT", + "Ġt ill", + "Ġti ll", + "Ġtil l", + "Ġ signature", + "Ġsign ature", + "Ġsig nature", + "Ġ bird", + "Ġb ird", + "Ġbi rd", + "Ġbir d", + "Ġ Ol", + "ĠO l", + "3 10", + "31 0", + "Ġ Ir", + "ĠI r", + "H S", + "av atar", + "ava tar", + "ESS AGE", + "Ġe lev", + "Ġel ev", + "Ġele v", + "Ġ mt", + "Ġm t", + "Ġ Nav", + "ĠN av", + "ĠNa v", + "Ġrel ax", + "Ġ plate", + "Ġp late", + "Ġpl ate", + "Ġpla te", + "Ġplat e", + "I TEM", + "IT EM", + "ITE M", + "( date", + "(d ate", + "(dat e", + "(da te", + ". not", + ".n ot", + ".no t", + "Ġ grade", + "Ġg rade", + "Ġgr ade", + "Ġgrad e", + "Ġgra de", + "Ġ }),Ċ", + "Ġ} ),Ċ", + "Ġ}) ,Ċ", + "Ġ}), Ċ", + "? \"ĊĊ", + "?\" ĊĊ", + "?\"Ċ Ċ", + "i ences", + "ie nces", + "ience s", + "ien ces", + "H igh", + "Hi gh", + "Ġ DIS", + "ĠD IS", + "ĠDI S", + "2 31", + "23 1", + "dis abled", + "disable d", + "Q UI", + "QU I", + "Ġ noise", + "Ġn oise", + "Ġno ise", + "Ġnoi se", + "a ux", + "au x", + "Ġ UP", + "ĠU P", + "8 88", + "88 8", + "o sa", + "os a", + "Ġv oc", + "Ġvo c", + "Ġ ))", + "Ġ) )", + "o com", + "oc om", + "oco m", + "_ OFF", + "_O FF", + "_OF F", + "Ġ Db", + "ĠD b", + "L ock", + "Lo ck", + "Loc k", + ".e clipse", + ", d", + "Ġ Draw", + "ĠD raw", + "ĠDr aw", + "ĠDra w", + "Ġ \"(", + "Ġ\" (", + "Ġ visited", + "Ġvis ited", + "Ġvisit ed", + "Ġvisite d", + "Ġ âĪ", + "Ġâ Ī", + "Ġs ucceed", + "Ġsuc ceed", + "Ġsucc eed", + "Ġim possible", + "Ġimp ossible", + "Ġimposs ible", + "a ire", + "air e", + "ai re", + "Ġ Turn", + "ĠT urn", + "ĠTur n", + "ĠTu rn", + "Ġ dish", + "Ġd ish", + "Ġdis h", + "Ġdi sh", + "F G", + "Ġ sensor", + "Ġs ensor", + "Ġsens or", + "A NN", + "AN N", + "a ba", + "ab a", + "Ġs urg", + "Ġsu rg", + "Ġsur g", + "] );čĊ", + "]) ;čĊ", + "]); čĊ", + "Ġ fp", + "Ġf p", + "_ an", + "_a n", + "- J", + "- G", + "Ġ Job", + "ĠJ ob", + "ĠJo b", + "Con vert", + "Conv ert", + "Ġ KEY", + "ĠK EY", + "ĠKE Y", + "Ġ authors", + "Ġauthor s", + "Ġauth ors", + "_ server", + "_s erver", + "_serv er", + "_ser ver", + "\\ r", + "Ġ -*-", + "Ġ- *-", + "Ġ-* -", + "f lex", + "fl ex", + "Ġ soc", + "Ġs oc", + "Ġso c", + "R et", + "Re t", + "Ġ salt", + "Ġs alt", + "Ġsa lt", + "Ġsal t", + "Ġ âĢ¦ĊĊ", + "ĠâĢ¦ ĊĊ", + "ĠâĢ¦Ċ Ċ", + "Ġ Clear", + "ĠC lear", + "ĠCl ear", + "ĠCle ar", + "( page", + "(p age", + "(pa ge", + "- danger", + "-d anger", + "-da nger", + "Ġ rooms", + "Ġro oms", + "Ġroom s", + "con v", + "co nv", + "# {", + ". op", + ".o p", + "Ġ Area", + "ĠA rea", + "ĠAr ea", + "ĠAre a", + "_ SC", + "_S C", + "h en", + "he n", + "Ġbeg ins", + "Ġbegin s", + "- y", + "Ġexc ited", + "Ġexcit ed", + "Ġ ignored", + "Ġign ored", + "Ġignore d", + "Ġignor ed", + "Ġ bonus", + "Ġb onus", + "Ġbon us", + "st udent", + "stu dent", + "stud ent", + "Ġ Member", + "ĠM ember", + "ĠMem ber", + "Ġrel atively", + "Ġrelative ly", + "Ġrelativ ely", + "Ġrelat ively", + "Ġ Low", + "ĠL ow", + "ĠLo w", + "Ġ Produ", + "ĠP rodu", + "ĠPro du", + "ĠPr odu", + "ĠProd u", + "at eway", + "ate way", + "pos ure", + "po sure", + "Ġth ick", + "Ġthi ck", + "an iel", + "ani el", + "anie l", + "( view", + "(v iew", + "ĠC rush", + "ĠCr ush", + "ĠCru sh", + "ĠCrus h", + "Ext ension", + "I l", + "e ed", + "ee d", + "L OC", + "LO C", + ". im", + ".i m", + ". Items", + ".I tems", + ".Item s", + ".It ems", + "Ġconf lict", + "Ġconflic t", + "Ġconfl ict", + ". prevent", + ".pre vent", + ".pr event", + ".prev ent", + "2 52", + "25 2", + "Ġon Create", + "u v", + "i ser", + "is er", + "ise r", + "Ġ wave", + "Ġw ave", + "Ġwa ve", + "Ġwav e", + "M ar", + "Ma r", + "Ġ Community", + "ĠComm unity", + "ĠCommun ity", + "i che", + "ic he", + "ich e", + "Ġ Nothing", + "ĠNo thing", + "[ m", + "Ġ Lee", + "ĠL ee", + "ĠLe e", + "ri ends", + "riend s", + "rie nds", + "rien ds", + "2 32", + "23 2", + "è re", + "! !!", + "!! !", + "a nz", + "an z", + ". result", + ".res ult", + "Ġ SK", + "ĠS K", + "_ PARAM", + "_P ARAM", + "_PA RAM", + "_PAR AM", + "Ġdem ocr", + "Ġdemo cr", + "Back Color", + ". exists", + ".ex ists", + ".exist s", + "\" It", + "\"I t", + "( options", + "(o ptions", + "(opt ions", + "(option s", + "r azy", + "ra zy", + "raz y", + "a ser", + "as er", + "ase r", + "\\ Database", + "\\Data base", + "\\D atabase", + "al endar", + "alen dar", + "_ ass", + "_a ss", + "_as s", + "; }Ċ", + ";} Ċ", + "ver tex", + "vert ex", + "verte x", + "ine craft", + "W arning", + "War ning", + "Warn ing", + "ar go", + "arg o", + "Ġ actor", + "Ġa ctor", + "Ġact or", + "Ġac tor", + "Ġ Instead", + "ĠIn stead", + "ĠInst ead", + "Ġ Using", + "ĠU sing", + "ĠUs ing", + "S elf", + "Se lf", + "Sel f", + "@ interface", + "Ġspe aking", + "Ġspeak ing", + "Ġ Paris", + "ĠP aris", + "ĠPar is", + "ĠPa ris", + "Ġ LICENSE", + "ĠL ICENSE", + "ĠLIC ENSE", + ". node", + ".n ode", + ".no de", + "Ġ Food", + "ĠF ood", + "ĠFo od", + "ĠFoo d", + "E IF", + "EI F", + "Ġ Bi", + "ĠB i", + ". Start", + ".St art", + "Ġ IB", + "ĠI B", + "Ġun iversity", + "Ġunivers ity", + "2 54", + "25 4", + "Ġ Header", + "ĠHe ader", + "ĠHead er", + ". product", + ".pro duct", + ".prod uct", + "4 09", + "40 9", + "C opy", + "Co py", + "Cop y", + "e tc", + "et c", + "r ical", + "ri cal", + "ric al", + "rica l", + "Ġ >>>", + "Ġ> >>", + "Ġ>> >", + "b ooks", + "bo oks", + "book s", + "boo ks", + "Ġ algorithm", + "Ġal gorithm", + "Ġ' __", + "Ġ'_ _", + "( javax", + "(j avax", + "(java x", + "Ġnumer ous", + "Ġnumero us", + "S hare", + "Sh are", + "Shar e", + "Sha re", + "H ave", + "Ha ve", + "Ġrec ru", + "Ġ prove", + "Ġp rove", + "Ġpro ve", + "Ġpr ove", + "Ġprov e", + ". substring", + ".sub string", + ".substr ing", + "he alth", + "е л", + "еР»", + "Ġ decimal", + "Ġd ecimal", + "Ġde cimal", + "Ġdec imal", + "Ġ commission", + "Ġcom mission", + "Ġcomm ission", + "s cription", + "script ion", + "scri ption", + "x C", + "Ġ summary", + "Ġsum mary", + "Ġsummar y", + "Ġsumm ary", + "at ted", + "att ed", + "atte d", + "Ġc loser", + "Ġcl oser", + "Ġclose r", + "Ġclos er", + "Ġclo ser", + "f inished", + "fin ished", + "finish ed", + "( )){Ċ", + "() ){Ċ", + "()) {Ċ", + "()){ Ċ", + "Ġ Wood", + "ĠW ood", + "ĠWo od", + "ĠWoo d", + "3 01", + "30 1", + "_ fields", + "_f ields", + "_field s", + "k u", + "_ items", + "_i tems", + "_item s", + "_it ems", + "F lag", + "Fl ag", + "Ġ confidence", + "Ġconf idence", + "Ġ Federal", + "ĠF ederal", + "ĠFeder al", + "ĠFed eral", + "d ux", + "du x", + "Ġ compat", + "Ġcom pat", + "Ġcomp at", + "Ġ vertical", + "Ġver tical", + "Ġvert ical", + "Ð ¹", + "è s", + "; \">Ċ", + ";\" >Ċ", + ";\"> Ċ", + "_ manager", + "_m anager", + "_man ager", + "_manage r", + "( )))Ċ", + "() ))Ċ", + "()) )Ċ", + "())) Ċ", + "I DE", + "ID E", + ": \",", + ":\" ,", + "2 35", + "23 5", + "_ _Ċ", + "__ Ċ", + "Ġ Way", + "ĠW ay", + "ĠWa y", + "2 21", + "22 1", + "Ñ Ī", + "T emp", + "Te mp", + "Tem p", + "Ġ STR", + "ĠS TR", + "ĠST R", + "r itten", + "rit ten", + "ritt en", + "ritte n", + "S ync", + "Sy nc", + "Syn c", + "Ġ AV", + "ĠA V", + "Ġ CEO", + "ĠC EO", + "ĠCE O", + "Ġ Guid", + "ĠG uid", + "ĠGu id", + "ĠGui d", + "Ġenvironment al", + "Ġenviron mental", + "Ġcorrespond ing", + "ĉ console", + "ĉcon sole", + "Ġ justice", + "Ġjust ice", + "Ġju stice", + "Ġ JS", + "ĠJ S", + "Ġl ived", + "Ġli ved", + "Ġlive d", + "Ġliv ed", + "g ar", + "ga r", + "Ġ Graph", + "ĠG raph", + "ĠGr aph", + "ĠGra ph", + "Ġ Stat", + "ĠS tat", + "ĠSt at", + "ĠSta t", + "Ġ iPhone", + "Ġi Phone", + "ĠiP hone", + ". al", + ".a l", + "Ġ HD", + "ĠH D", + "Ġocc ur", + "Ġoc cur", + "Ġ threshold", + "Ġth reshold", + "Ġthresh old", + "5 09", + "50 9", + "Ġ onclick", + "Ġon click", + "Ġonc lick", + "R EG", + "RE G", + ".Graphics Unit", + "M eta", + "Me ta", + "Met a", + "Å ¾", + "Ġ cum", + "Ġc um", + "Ġcu m", + ". gnu", + ".g nu", + "à «", + "Ġobt ained", + "Ġobtain ed", + "Ġcom plaint", + "Ġcompl aint", + "Ġcomplain t", + "Ġ eating", + "Ġe ating", + "Ġeat ing", + "Ġea ting", + "Ġ tar", + "Ġt ar", + "Ġta r", + "_ task", + "_t ask", + "_ta sk", + "Ġ opts", + "Ġo pts", + "Ġop ts", + "Ġopt s", + "2 16", + "21 6", + "( to", + "(t o", + "P ass", + "Pa ss", + "Pas s", + "Ġp lastic", + "Ġpl astic", + "Ġplast ic", + "t ility", + "til ity", + "Ġ Win", + "ĠW in", + "ĠWi n", + ".prevent Default", + "p ile", + "pi le", + "Ġ Gar", + "ĠG ar", + "ĠGa r", + "Ġ quantity", + "Ġqu antity", + "Ġquant ity", + "Ġqua ntity", + "_ last", + "_l ast", + "_la st", + "Ġg reatest", + "Ġgreat est", + "Ġgre atest", + "D ao", + "Da o", + "_ DIS", + "_D IS", + "_DI S", + "Ġ Used", + "ĠU sed", + "ĠUs ed", + "ĠUse d", + "Ġ HP", + "ĠH P", + "r iting", + "ri ting", + "rit ing", + "S ION", + "SI ON", + "b lue", + "bl ue", + "d omain", + "do main", + "dom ain", + "Ġ scores", + "Ġs cores", + "Ġsc ores", + "Ġscore s", + "Ġsco res", + "Ġscor es", + "N ormal", + "Norm al", + "Nor mal", + "_ admin", + "_ad min", + "Ġ ASSERT", + "ĠA SSERT", + "ĠASS ERT", + "T hen", + "The n", + "Th en", + "* **", + "** *", + "d ist", + "dis t", + "di st", + "l on", + "lo n", + "Ġh ate", + "Ġha te", + "Ġhat e", + "s hal", + "sh al", + "sha l", + "Image View", + "d atabase", + "data base", + "dat abase", + "Ġp and", + "Ġpa nd", + "Ġpan d", + "Ġ logic", + "Ġlog ic", + "= false", + "=f alse", + "b g", + "Ġ Configuration", + "ĠConfig uration", + "Ġn ur", + "Ġnu r", + "O G", + "Ġ married", + "Ġmar ried", + ": +", + "Ġd ropped", + "Ġdr opped", + "Ġdrop ped", + "Ġdro pped", + "0 40", + "04 0", + "Ġ registration", + "Ġreg istration", + "Ġregistr ation", + "Ġregist ration", + "о м", + "оР¼", + "ult iple", + "ulti ple", + "ultip le", + "i zers", + "iz ers", + "ize rs", + "izer s", + "s hape", + "sh ape", + "sha pe", + ". copy", + ".c opy", + ".co py", + "Ġw earing", + "Ġwe aring", + "Ġwear ing", + "ĠC ath", + "ĠCa th", + "ĠCat h", + "Ġded icated", + "Ġdedic ated", + "Ġdedicate d", + "Ġ ...Ċ", + "Ġ. ..Ċ", + "Ġ... Ċ", + "Ġ.. .Ċ", + "Ġadv oc", + "Ġ Family", + "ĠF amily", + "ĠFam ily", + "ĠFamil y", + "Ġ statements", + "Ġstate ments", + "Ġstat ements", + "Ġstatement s", + "e matic", + "em atic", + "ema tic", + "emat ic", + "ampions hip", + "ampion ship", + "Ġmot iv", + "Ġmo tiv", + "Ġ Have", + "ĠH ave", + "ĠHa ve", + "ĠHav e", + "Ġb low", + "Ġbl ow", + "Ġblo w", + "J ob", + "Jo b", + "c ert", + "ce rt", + "cer t", + "_ vector", + "_v ector", + "_vec tor", + "_vect or", + "_ve ctor", + "inst all", + "Ġ COPY", + "ĠC OPY", + "ĠCO PY", + "ĠCOP Y", + "em bed", + "emb ed", + "D IR", + "DI R", + "Ġ Spring", + "ĠS pring", + "ĠSp ring", + "ĠSpr ing", + "Ġex hib", + "Ġexh ib", + "2 23", + "22 3", + "c dn", + "cd n", + "Ġ Comment", + "ĠCom ment", + "ĠComm ent", + "Ġ Optional", + "ĠOption al", + "ĠOpt ional", + ". player", + ".p layer", + ".pl ayer", + ".play er", + "Ġ Dark", + "ĠD ark", + "ĠDa rk", + "ĠDar k", + "( pos", + "(p os", + "(po s", + "Ġ Should", + "ĠSh ould", + "ĠSho uld", + "Ġ centre", + "Ġc entre", + "Ġcent re", + "Ġcentr e", + "Ġcen tre", + "Ġ Guard", + "ĠG uard", + "ĠGu ard", + "ĠGuar d", + "ó w", + "Ġtr ouble", + "Ġtro uble", + "Ġtroub le", + "Ġtrou ble", + "E NER", + "EN ER", + "ENE R", + "( unsigned", + "(un signed", + "_ service", + "_s ervice", + "_serv ice", + "_ser vice", + "Ġ ns", + "Ġn s", + "u ling", + "ul ing", + "ulin g", + "uli ng", + "Ġ Mexico", + "ĠMe xico", + "ĠMex ico", + "Ġ NY", + "ĠN Y", + "m ysql", + "my sql", + "mys ql", + "Ġ lic", + "Ġl ic", + "Ġli c", + "å ľ", + "M r", + "- fl", + "-f l", + "Ġ Customer", + "ĠC ustomer", + "ĠCustom er", + "ĠCust omer", + "i di", + "id i", + "Ġ ?>ĊĊ", + "Ġ? >ĊĊ", + "Ġ?> ĊĊ", + "Ġ?>Ċ Ċ", + "r ible", + "ri ble", + "rib le", + "Ġ пÑĢ", + "Ġп ÑĢ", + "Ġ sizes", + "Ġs izes", + "Ġsize s", + "Ġsi zes", + "Ġsiz es", + "_ STRING", + "_ST RING", + "_STR ING", + "valid ation", + "Ġ Jon", + "ĠJ on", + "ĠJo n", + "( Http", + "(H ttp", + "add Class", + "N odes", + "Node s", + "No des", + "Ġ fragment", + "Ġf ragment", + "Ġfr agment", + "Ġfra gment", + "Ġfrag ment", + "Ġs poke", + "Ġsp oke", + "Ġspo ke", + "Ġw aste", + "Ġwas te", + "Ġwa ste", + "Ġwast e", + "J oin", + "Jo in", + "Ġ illustr", + "Ġill ustr", + "Ġillust r", + "e li", + "el i", + "c ient", + "ci ent", + "cie nt", + "Ġ aid", + "Ġa id", + "Ġai d", + "Ġpro sec", + "Ġpros ec", + "Ġprose c", + "' ){Ċ", + "') {Ċ", + "'){ Ċ", + "Ġp assing", + "Ġpass ing", + "Ġpas sing", + "Ġ faces", + "Ġf aces", + "Ġfa ces", + "Ġfac es", + "Ġface s", + "S hape", + "Sh ape", + "Sha pe", + "_ Z", + "i ti", + "it i", + "Ġ alle", + "Ġa lle", + "Ġal le", + "Ġall e", + "Ġ robot", + "Ġr obot", + "Ġro bot", + "Ġrob ot", + "Ġ ĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠ ĠĊ", + "Ġ Spe", + "ĠS pe", + "ĠSp e", + "Ġre ceiving", + "Ġrece iving", + "Ġ Details", + "ĠD etails", + "ĠDe tails", + "ĠDet ails", + "ĠDetail s", + "Ġ \")", + "Ġ\" )", + "m g", + "_ REF", + "_RE F", + "_R EF", + "Ġ comparison", + "Ġcom parison", + "Ġcompar ison", + "* ,", + "Ġ Found", + "ĠF ound", + "ĠFo und", + "ĠFou nd", + "_ session", + "_s ession", + "_sess ion", + "( U", + "/ F", + "Ġ xxx", + "Ġx xx", + "Ġxx x", + "N etwork", + "Net work", + "d ers", + "de rs", + "der s", + "Ġ capture", + "Ġc apture", + "Ġcap ture", + "Ġcapt ure", + "Ġc orre", + "Ġcor re", + "Ġcorr e", + "Ġ Ltd", + "ĠL td", + "ĠLt d", + "Ġ Adv", + "ĠA dv", + "ĠAd v", + "[ @", + "Ġ clip", + "Ġc lip", + "Ġcl ip", + "Ġcli p", + "M ill", + "Mi ll", + "Mil l", + "Ġ Profile", + "ĠPro file", + "ĠPr ofile", + "ĠProf ile", + "Ġ endif", + "Ġen dif", + "Ġend if", + "Ġob lig", + "Ġobl ig", + "de scribe", + "des cribe", + "descr ibe", + ". element", + ".e lement", + ".el ement", + ".elem ent", + "riter ion", + "L D", + "e red", + "er ed", + "ere d", + "Ġf avour", + "Ġfav our", + "s core", + "sc ore", + "Ġ Filter", + "ĠF ilter", + "ĠFil ter", + "at tributes", + "attribute s", + "attrib utes", + "Ġ checks", + "Ġcheck s", + "Ġche cks", + "In flater", + "Inf later", + "Ġ Plus", + "ĠP lus", + "ĠPl us", + "Ġ scientific", + "Ġscient ific", + "Ġ privacy", + "Ġpriv acy", + "H ead", + "He ad", + "Ġ feat", + "Ġf eat", + "Ġfe at", + "Ġ degrees", + "Ġdeg rees", + "Ġdegree s", + "Ġ Pale", + "ĠP ale", + "ĠPal e", + "ĠPa le", + "; \">", + ";\" >", + "Ġ films", + "Ġfil ms", + "Ġfilm s", + "Ġ Audio", + "ĠA udio", + "ĠAud io", + "ĠAu dio", + "ĠAudi o", + "Ġ Tag", + "ĠT ag", + "ĠTa g", + "Ġ Energy", + "ĠE nergy", + "ĠEn ergy", + "ĠEnerg y", + "i tar", + "it ar", + "ita r", + "par ator", + "para tor", + "Ġf ellow", + "Ġfell ow", + "Ġfel low", + "Ġ evt", + "Ġe vt", + "Ġev t", + "Ġ Tri", + "ĠT ri", + "ĠTr i", + "ĠD AM", + "ĠDA M", + "c loud", + "cl oud", + "clo ud", + "Ġ Password", + "ĠP assword", + "ĠPass word", + "ĠPas sword", + "Ġ Democrats", + "ĠDem ocrats", + "ĠDemocr ats", + "ĠDemocrat s", + "ĠA cad", + "ĠAc ad", + "$ lang", + "$l ang", + "Ġ reb", + "Ġre b", + "Ġr eb", + "( ))ĊĊ", + "() )ĊĊ", + "()) ĊĊ", + "())Ċ Ċ", + "н Ñĭ", + "Ġ Bur", + "ĠB ur", + "ĠBu r", + "read cr", + "Ġ hex", + "Ġh ex", + "Ġhe x", + "2 09", + "20 9", + "Con sole", + "Cons ole", + "c tl", + "ct l", + "ou sel", + "ous el", + "ouse l", + "Ġ William", + "ĠWill iam", + "ĠWilli am", + "Ġ az", + "Ġa z", + "_ PORT", + "_P ORT", + "_PO RT", + "Ġpr actices", + "Ġpract ices", + "Ġpractice s", + "Ġany where", + "Ġ Position", + "ĠP osition", + "ĠPos ition", + "Ġ ->Ċ", + "Ġ- >Ċ", + "Ġ-> Ċ", + "i ams", + "ia ms", + "iam s", + ". username", + ".user name", + "place holder", + "Ġ oder", + "Ġo der", + "Ġod er", + "Ġode r", + "Ġ Secretary", + "ĠSecret ary", + "Ġ iT", + "Ġi T", + "m ond", + "mon d", + "mo nd", + "e vents", + "event s", + "ev ents", + "even ts", + "eve nts", + "? âĢĿ", + ". Sub", + ".S ub", + "Ġ attached", + "Ġatt ached", + "Ġattach ed", + "Ġn ão", + "Ġ estate", + "Ġe state", + "Ġest ate", + "Ġesta te", + "3 65", + "36 5", + ". action", + ".a ction", + ".ac tion", + ".act ion", + "Ġ figures", + "Ġfig ures", + "Ġfigure s", + "Ġfigur es", + "Ġ });čĊ", + "Ġ} );čĊ", + "Ġ}) ;čĊ", + "Ġ}); čĊ", + "Ġsub scri", + "Ġsubs cri", + ". tag", + ".t ag", + ".ta g", + "n am", + "na m", + ". plot", + ".p lot", + ".pl ot", + "n oon", + "no on", + "li ament", + "lia ment", + "Char acter", + ". tab", + ".t ab", + ".ta b", + "Ġ winter", + "Ġw inter", + "Ġwin ter", + "Ġ Variable", + "ĠVar iable", + "ĠVari able", + "Ġ trees", + "Ġt rees", + "Ġtr ees", + "Ġtre es", + "Ġtree s", + "Ġp roud", + "Ġpro ud", + "Ġpr oud", + "( V", + "_ load", + "_l oad", + "_lo ad", + "Ġh ier", + "Ġhi er", + "ĠE con", + "ĠEc on", + "ĠEco n", + "Ġ fd", + "Ġf d", + "Ġvict ims", + "Ġvictim s", + "R est", + "Re st", + "Res t", + "i ana", + "ia na", + "ian a", + "Ġ fake", + "Ġf ake", + "Ġfa ke", + "Ġfak e", + ".Print ln", + "Ġ strlen", + "Ġst rlen", + "Ġstr len", + "Ġ sad", + "Ġs ad", + "Ġsa d", + "Ġ ble", + "Ġb le", + "Ġbl e", + "P rot", + "Pro t", + "Pr ot", + "Ġ buttons", + "Ġbut tons", + "Ġbutton s", + "Ġbutt ons", + "Ġbutto ns", + "Ġte levision", + "Ġtele vision", + "Ġtelevis ion", + "Ġtelev ision", + "Ġ logo", + "Ġl ogo", + "Ġlo go", + "Ġlog o", + "ext ension", + "ĉ j", + "s tein", + "st ein", + "ste in", + "ac iones", + "acion es", + "aci ones", + "acio nes", + "Ġ \"\"\"ĊĊ", + "Ġ\"\" \"ĊĊ", + "Ġ\"\"\"Ċ Ċ", + "Ġ\"\"\" ĊĊ", + "Ġ simp", + "Ġs imp", + "Ġsim p", + "Ġsi mp", + "Ġrecord ed", + "Ġbr ings", + "Ġbring s", + "Ġ principal", + "Ġpr incipal", + "Ġprincip al", + "Ġf ees", + "Ġfe es", + "Ġfee s", + "( source", + "(s ource", + "k dir", + "kd ir", + "Ġ utils", + "Ġutil s", + "Ġut ils", + "Ġcorrect ly", + "f il", + "fi l", + "Ġ wel", + "Ġw el", + "Ġwe l", + "P air", + "Pa ir", + "- button", + "-b utton", + "-but ton", + "s cale", + "sc ale", + "scal e", + "ver ify", + "[ c", + "Ġ ---", + "Ġ- --", + "Ġ-- -", + "Ġ escape", + "Ġe scape", + "Ġes cape", + "Ġesc ape", + "Ġescap e", + "i kes", + "ik es", + "ike s", + "Lower Case", + "ic ian", + "ici an", + "icia n", + "Ġ chapter", + "Ġch apter", + "Ġcha pter", + "Ġchap ter", + "Ġ TYPE", + "ĠT YPE", + "ĠTY PE", + "Ġ shadow", + "Ġsh adow", + "Ġ awesome", + "Ġaw esome", + "Ġawe some", + "W E", + "e lif", + "el if", + "eli f", + "Ġ lambda", + "Ġl ambda", + "Ġlamb da", + "Ġ distinct", + "Ġdist inct", + "Ġ bare", + "Ġb are", + "Ġbar e", + "Ġba re", + "- off", + "-of f", + "-o ff", + "Ġ colour", + "Ġcol our", + ". appendChild", + ".append Child", + "o lec", + "ol ec", + "ole c", + "a ga", + "ag a", + ". fill", + ".f ill", + ".fi ll", + ".fil l", + "ĉ super", + "ĉs uper", + "Ġ adj", + "Ġa dj", + "Ġad j", + "( position", + "(p osition", + "(pos ition", + ". getItem", + ".get Item", + "2 42", + "24 2", + "S hort", + "Sh ort", + "Ġtot ally", + "Ġtotal ly", + "V D", + "Ġ Tre", + "ĠT re", + "ĠTr e", + "_ ep", + "_e p", + "v ements", + "ve ments", + "vement s", + "vem ents", + "Ġ Solution", + "ĠS olution", + "ĠSol ution", + "Ġfund ament", + "F ollow", + "Ġ facility", + "Ġfac ility", + "Ġfacilit y", + "Ġfacil ity", + "Ġhapp ening", + "Ġhappen ing", + "O F", + ". textBox", + ".text Box", + "S pan", + "Sp an", + "Ġ «", + "Ġ «", + "i den", + "id en", + "ide n", + "Ġex ceed", + "Ġexc eed", + "Ġexce ed", + "( parent", + "(p arent", + "(par ent", + "(paren t", + "(pa rent", + "Ġ cp", + "Ġc p", + "ç »", + "Ġh asn", + "Ġhas n", + "Ġha sn", + "Ġ pri", + "Ġp ri", + "Ġpr i", + "Ġcon sequ", + "Ġcons equ", + "Ġconse qu", + "n en", + "ne n", + "ĠIN TO", + "ĠINT O", + "I gnore", + "Ign ore", + "Ġ Future", + "ĠF uture", + "ĠFu ture", + "ĠFut ure", + "Ġ carbon", + "Ġc arbon", + "Ġcar bon", + "Ġcarb on", + "Ġ Steel", + "ĠSt eel", + "ĠSte el", + "f mt", + "fm t", + "o kie", + "ok ie", + "oki e", + "Ġ spl", + "Ġs pl", + "Ġsp l", + "( title", + "(t itle", + "(ti tle", + "- info", + "-in fo", + "-inf o", + "Ġde als", + "Ġdeal s", + "Ġ fixture", + "Ġf ixture", + "Ġfix ture", + "e a", + "D iv", + "Di v", + "Ġ tested", + "Ġt ested", + "Ġte sted", + "Ġtest ed", + "Ġtes ted", + "Ġteste d", + "_ return", + "_re turn", + "_r eturn", + "_ret urn", + ") ĊĊĊĊ", + ")Ċ ĊĊĊ", + ")ĊĊ ĊĊ", + ")ĊĊĊ Ċ", + "up ported", + "upport ed", + "upp orted", + "Ġ Cook", + "ĠC ook", + "ĠCo ok", + "Ġp aying", + "Ġpay ing", + "Ġpa ying", + "Ġ Ill", + "ĠI ll", + "ĠIl l", + "Ġarr ested", + "Ġarrest ed", + "Ġ Prime", + "ĠPr ime", + "ĠPri me", + "ĠPrim e", + "_ callback", + "_c allback", + "_call back", + "> ,Ċ", + ">, Ċ", + "d river", + "dr iver", + "drive r", + "O nce", + "On ce", + "a bb", + "ab b", + "_ bytes", + "_by tes", + "_byte s", + "Ġ Sets", + "ĠS ets", + "ĠSe ts", + "ĠSet s", + "( Object", + "(O bject", + "Ġ cc", + "Ġc c", + "Ġ shell", + "Ġs hell", + "Ġsh ell", + "Ġshe ll", + "Ġshel l", + "a lo", + "al o", + ") ;//", + "); //", + "( log", + "(l og", + "(lo g", + "2 64", + "26 4", + "c tors", + "ct ors", + "ctor s", + ") ", + "2 18", + "21 8", + "Ġ $(\".", + "Ġ$ (\".", + "Ġ$( \".", + "Ġ$(\" .", + ". pos", + ".p os", + ".po s", + "Ġ boys", + "Ġbo ys", + "Ġboy s", + "Ġwed ding", + "Ġ agents", + "Ġag ents", + "Ġage nts", + "Ġagent s", + "= \"_", + "=\" _", + "Ġ Army", + "ĠAr my", + "ĠArm y", + "Ġ hint", + "Ġh int", + "Ġhi nt", + "Ġhin t", + "v ision", + "vis ion", + "Ġ tech", + "Ġt ech", + "Ġte ch", + "Ġtec h", + "Ġ Connect", + "ĠCon nect", + "ĠConn ect", + "Ġ legend", + "Ġl egend", + "Ġle gend", + "Ġleg end", + "Ġ Bet", + "ĠB et", + "ĠBe t", + ". Base", + ".B ase", + "Sub ject", + "Su bject", + "Ġ lit", + "Ġl it", + "Ġli t", + "Re move", + "Rem ove", + "Ġ \":", + "Ġ\" :", + "Ġ Final", + "ĠF inal", + "ĠFin al", + "ĠFi nal", + "pear ance", + "ĠiT unes", + "Ġ participants", + "Ġpart icipants", + "Ġparticip ants", + "Ġparticipant s", + "Ġ Python", + "ĠP ython", + "ĠPy thon", + "Ġ busy", + "Ġbu sy", + "Ġbus y", + "i el", + "ie l", + "vert ices", + "Ġtemplate Url", + "Ġ Close", + "ĠC lose", + "ĠCl ose", + "ĠClo se", + "I mg", + "Im g", + "ĠCorpor ation", + "ĠCorp oration", + "t imestamp", + "time stamp", + "Ġ extend", + "Ġext end", + "Ġwe bsites", + "Ġweb sites", + "Ġwebsite s", + "Ġwebs ites", + "Ġposs ibility", + "Ġpossibilit y", + "о ÑĤ", + "Ġ kö", + "Ġk ö", + "Ġm eat", + "Ġme at", + "Ġ representation", + "Ġre presentation", + "Ġrep resentation", + "Ġrepresent ation", + "Ġrepresenta tion", + "2 41", + "24 1", + "Ġ ĉĉ", + "Ġĉ ĉ", + "_ START", + "_ST ART", + "_STAR T", + "_STA RT", + ". apply", + ".app ly", + ".ap ply", + "ĠV alley", + "ĠVal ley", + "ĠValle y", + "ĠVall ey", + "Ġ Success", + "ĠS uccess", + "ĠSu ccess", + "ĠSuc cess", + "ĠSucc ess", + "H i", + "Ġ nob", + "Ġn ob", + "Ġno b", + "Ġ IEnumerable", + "ĠI Enumerable", + "_ select", + "_s elect", + "_se lect", + "_sel ect", + "g eo", + "ge o", + ". \")Ċ", + ".\" )Ċ", + ".\") Ċ", + "Ġt urning", + "Ġturn ing", + "Ġtur ning", + "Ġ fabric", + "Ġf abric", + "Ġfab ric", + "(\" \");Ċ", + "(\"\" );Ċ", + "(\"\") ;Ċ", + "(\"\"); Ċ", + "Ġp erspective", + "Ġpers pective", + "é Ĺ", + "Ġ Sn", + "ĠS n", + "Th ank", + "Than k", + "; j", + ". Parameters", + ".Param eters", + ".Parameter s", + "ĉ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĉĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĉĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĉĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ facts", + "Ġf acts", + "Ġfact s", + "Ġfa cts", + "Ġfac ts", + "3 05", + "30 5", + "Ġ unt", + "Ġu nt", + "Ġun t", + ". instance", + ".in stance", + ".inst ance", + "#### ############################################################", + "######## ########################################################", + "################ ################################################", + "################################ ################################", + "################################################ ################", + "######################################## ########################", + "######################## ########################################", + "######################################################## ########", + "############################################################ ####", + "- end", + "-e nd", + "-en d", + "Ġ JOIN", + "ĠJO IN", + "Ġ Hen", + "ĠH en", + "ĠHe n", + "Ġ uri", + "Ġu ri", + "Ġur i", + "åIJ į", + "Ġ на", + "Ġн а", + "Ġ Info", + "ĠIn fo", + "ĠInf o", + "Ġcon ducted", + "Ġconduct ed", + "Ġconduc ted", + "Ġ Ã¥", + "Ġà ¥", + "OUR CE", + "Ġ wine", + "Ġw ine", + "Ġwin e", + "Ġwi ne", + "J ohn", + "Jo hn", + ".Error f", + ".Err orf", + "Ġ Age", + "ĠA ge", + "ĠAg e", + "o unded", + "ound ed", + "oun ded", + "Ġreal ize", + "Ġrealiz e", + "3 12", + "31 2", + "Ġ ];", + "Ġ] ;", + "Ġsub sequ", + "Ġsubs equ", + ", m", + "( User", + "(U ser", + "i ano", + "ia no", + "ian o", + "Ġaccom pl", + "Ġaccomp l", + "i sp", + "is p", + ". std", + ".s td", + ".st d", + "é ĩ", + "Ġ Bed", + "ĠB ed", + "ĠBe d", + ". setAttribute", + ".set Attribute", + "B R", + "ke ep", + "kee p", + "Ġ ALL", + "ĠA LL", + "ĠAL L", + "Ġ isol", + "Ġis ol", + "Ġi sol", + "Ġiso l", + "a mma", + "am ma", + "amm a", + "P ackage", + "Pack age", + "Ġ occasion", + "Ġocc asion", + "Ġoccas ion", + "- success", + "-s uccess", + "-su ccess", + "е д", + "еР´", + "ĠLIMIT ED", + "s trip", + "st rip", + "str ip", + "stri p", + "( )ĊĊĊ", + "() ĊĊĊ", + "()Ċ ĊĊ", + "()ĊĊ Ċ", + "is tribution", + "istrib ution", + "Color s", + "Col ors", + "Ġ+ :+", + "Did Load", + "a ler", + "al er", + "ale r", + "Ġ tid", + "Ġt id", + "Ġti d", + "Ġ LED", + "ĠL ED", + "ĠLE D", + "Ġ Linked", + "ĠLink ed", + "ĠLin ked", + "Ġ Cart", + "ĠC art", + "ĠCar t", + "ĠCa rt", + "( ))čĊ", + "() )čĊ", + "()) čĊ", + "_ READ", + "_RE AD", + "Ġk illing", + "Ġkill ing", + "Ġkil ling", + "Ġ PHP", + "ĠP HP", + "ĠPH P", + "f ection", + "fe ction", + "fect ion", + "fec tion", + "Ġ instances", + "Ġin stances", + "Ġinst ances", + "Ġinstance s", + "c v", + "\" />", + "\"/ >", + "Ġ sf", + "Ġs f", + "Ġt axes", + "Ġtax es", + "Ġta xes", + "_ location", + "_l ocation", + "_lo cation", + "_loc ation", + "Ġ Bitcoin", + "ĠBit coin", + "u able", + "ua ble", + "r ank", + "ra nk", + "ran k", + "i gnore", + "ig nore", + "ign ore", + "t rack", + "tr ack", + "tra ck", + "к а", + "Ġshould n", + "Ġ OP", + "ĠO P", + "= >{Ċ", + "=> {Ċ", + "Ġ km", + "Ġk m", + "Ġ helper", + "Ġh elper", + "Ġhelp er", + "Ġhel per", + "_ head", + "_h ead", + "_he ad", + "Ġ Whether", + "ĠWh ether", + "ĠWhe ther", + "o co", + "oc o", + "_ bl", + "_b l", + "Ġ statistics", + "Ġstat istics", + "Ġstatist ics", + "Ġstatistic s", + "Ġbe auty", + "Ġbeaut y", + "Ġbeau ty", + "Ġ tog", + "Ġt og", + "Ġto g", + "t ip", + "ti p", + "ëĭ ¤", + "Ġ csv", + "Ġc sv", + "Ġcs v", + "( sql", + "(s ql", + "(sq l", + "std lib", + "we ak", + "Ġ likes", + "Ġl ikes", + "Ġli kes", + "Ġlike s", + "Ġlik es", + "Ä į", + "Ġ repeat", + "Ġre peat", + "Ġrep eat", + "Ġrepe at", + "Ġa partment", + "Ġap artment", + "Ġapart ment", + "Ġe mph", + "Ġem ph", + "Ġemp h", + "_ edit", + "_e dit", + "_ed it", + "Ġ vit", + "Ġv it", + "Ġvi t", + "ĉ type", + "ĉt ype", + "ĉtyp e", + "2 17", + "21 7", + "E ven", + "Ev en", + "u ten", + "ut en", + "ute n", + "Ġcircum stances", + "Ġcircumstance s", + "b ian", + "bi an", + "bia n", + "Ġs ugar", + "Ġsu gar", + "Ġsug ar", + "W indows", + "Window s", + "Wind ows", + "ì ŀ", + "Ġobs erved", + "Ġobserv ed", + "Ġobserve d", + "/ data", + "/d ata", + "/dat a", + "Ġ calendar", + "Ġc alendar", + "Ġcal endar", + "Ġcalend ar", + "Ġ strike", + "Ġst rike", + "Ġstr ike", + "Ġstri ke", + "Ġ RES", + "ĠR ES", + "ĠRE S", + "_ sc", + "_s c", + "f ony", + "fo ny", + "fon y", + "o rem", + "or em", + "ore m", + "( z", + "p ower", + "po wer", + "pow er", + "et ect", + "ete ct", + "Ġ Sat", + "ĠS at", + "ĠSa t", + ". description", + ".d escription", + ".de scription", + ".des cription", + "Ġ gang", + "Ġg ang", + "Ġga ng", + "Ġgan g", + "Ġ Sports", + "ĠS ports", + "ĠSp orts", + "ĠSport s", + "ĠSpo rts", + "ĠSpor ts", + "on gs", + "ong s", + "Ġ Bundle", + "ĠB undle", + "ĠBund le", + "ĠBun dle", + ". sum", + ".s um", + "o nce", + "on ce", + "Ġacc used", + "Ġaccus ed", + "Ġaccuse d", + "Ġexp lore", + "Ġexpl ore", + "Ġexplo re", + "Ġexplor e", + "Ġ approximately", + "Ġapprox imately", + "Ġapproximate ly", + "Ġ losing", + "Ġl osing", + "Ġlo sing", + "Ġlos ing", + "th esis", + "the sis", + "thes is", + "Ġ Fund", + "ĠF und", + "ĠFun d", + "ĠFu nd", + "Ġdi agn", + "Ġdia gn", + "Ġdiag n", + "A utowired", + "p roperties", + "prop erties", + "proper ties", + "Ġ _.", + "Ġ_ .", + "Ġ cnt", + "Ġc nt", + "Ġcn t", + "ced ure", + "Ġ yy", + "Ġy y", + "Ġ grant", + "Ġg rant", + "Ġgr ant", + "Ġgran t", + "Ġgra nt", + "s ock", + "so ck", + "soc k", + ". innerHTML", + ".inner HTML", + "Ġ ]);Ċ", + "Ġ] );Ċ", + "Ġ]) ;Ċ", + "Ġ]); Ċ", + "Ġ CONFIG", + "ĠCON FIG", + "ĠCONF IG", + "= '$", + "=' $", + "5 50", + "55 0", + "] ];Ċ", + "]] ;Ċ", + "]]; Ċ", + "U ND", + "UN D", + "Ġ glob", + "Ġg lob", + "Ġgl ob", + "Ġglo b", + "Ġ dire", + "Ġd ire", + "Ġdi re", + "Ġdir e", + "uff le", + "_ MEM", + "_M EM", + "_ME M", + "Ġauth entic", + "> (\"", + ">( \"", + "Ġde cade", + "Ġdec ade", + "Ġdecad e", + "Ġ Import", + "ĠIm port", + "ĠImp ort", + "Ġorig inally", + "Ġoriginal ly", + "Ġorigin ally", + "Ġ jQuery", + "Ġj Query", + "Ġind icate", + "Ġindic ate", + "Ġindica te", + "Ġours elves", + "S w", + ". lbl", + ".l bl", + ".lb l", + "en erate", + "ener ate", + "ene rate", + "Ġbas ically", + "Ġbasic ally", + "Ġ Hom", + "ĠH om", + "ĠHo m", + "Ġ+ #+", + "Ġ+# +", + "Ġ Britain", + "ĠBrit ain", + "ĠBri tain", + "Ġ Kar", + "ĠK ar", + "ĠKa r", + "to Equal", + ". stop", + ".s top", + ".st op", + "Ġ modal", + "Ġm odal", + "Ġmod al", + "Ġmo dal", + "Ġmoda l", + "i si", + "is i", + "Ġsuggest s", + "Ġ dtype", + "Ġd type", + "Ġdt ype", + "Ġ tur", + "Ġt ur", + "Ġtu r", + "b f", + "Ġ connections", + "Ġconnection s", + "Ġconn ections", + "Ġconnect ions", + "Ġ Before", + "ĠB efore", + "ĠBe fore", + "i sted", + "is ted", + "ist ed", + "iste d", + "m ouse", + "mo use", + "Ġp ulled", + "Ġpull ed", + "Ġpul led", + ". build", + ".b uild", + "Ġleg islation", + "Ġlegis lation", + "Ġlegisl ation", + "Ġ forth", + "Ġf orth", + "Ġfor th", + "Ġfort h", + "p ad", + "pa d", + "e go", + "eg o", + ". Now", + ".N ow", + ".No w", + "Ġexc iting", + "Ġexcit ing", + "} ĊĊĊĊ", + "}Ċ ĊĊĊ", + "}ĊĊ ĊĊ", + "}ĊĊĊ Ċ", + "Ġcom pr", + "Ġco mpr", + "Ġcomp r", + "Ġ shares", + "Ġsh ares", + "Ġshare s", + "Ġsha res", + "Ġshar es", + "Ġ rig", + "Ġr ig", + "Ġri g", + "g reen", + "gr een", + "gre en", + "gree n", + "_ vec", + "_v ec", + "_ve c", + "Ġ enumerate", + "Ġenum erate", + "Ġenumer ate", + "A uto", + "Aut o", + "Au to", + "ic ator", + "ica tor", + "Ġ Ray", + "ĠR ay", + "ĠRa y", + "a sse", + "as se", + "ass e", + "Ġ holiday", + "Ġh oliday", + "Ġhol iday", + "Ġ nullable", + "Ġnull able", + "Ġnulla ble", + "g un", + "gu n", + "_ details", + "_d etails", + "_de tails", + "_detail s", + "_det ails", + "Ġ wrapper", + "Ġw rapper", + "Ġwr apper", + "Ġwrap per", + "s eq", + "se q", + "Ġ Young", + "ĠYou ng", + "ĠYo ung", + "ju ana", + "juan a", + "Ġ\" __", + "Ġ\"_ _", + "l icense", + "lic ense", + "s erve", + "se rve", + "ser ve", + "serv e", + "^ (", + "i ders", + "id ers", + "ide rs", + "ider s", + ". Remove", + ".Re move", + ".Rem ove", + "rop down", + "' S", + "p in", + "pi n", + "( token", + "(t oken", + "(to ken", + "(tok en", + ". Default", + ".D efault", + ".De fault", + ".Def ault", + "Ġ reasonable", + "Ġreason able", + "amp ion", + "ĠS ociety", + "ĠSoci ety", + "Ġ bei", + "Ġb ei", + "Ġbe i", + "er ves", + "erv es", + "erve s", + "r ad", + "ra d", + "Ġ Fox", + "ĠF ox", + "ĠFo x", + "_ images", + "_image s", + "_im ages", + "_imag es", + "Ġ wheel", + "Ġw heel", + "Ġwh eel", + "Ġwhe el", + "' )[", + "') [", + "Ġ cfg", + "Ġc fg", + "Ġcf g", + "( By", + "(B y", + "Con structor", + "Construct or", + "Ġ vary", + "Ġv ary", + "Ġvar y", + "Ġva ry", + ". swift", + ".sw ift", + "Ġ proxy", + "Ġpro xy", + "Ġpr oxy", + "Ġprox y", + "ĉ H", + "Ġ Another", + "ĠAn other", + "Ġ Pen", + "ĠP en", + "ĠPe n", + "Ġ checking", + "Ġcheck ing", + "Ġ jest", + "Ġj est", + "Ġje st", + "Ġjes t", + "m anager", + "man ager", + "manage r", + "mana ger", + "Or igin", + "Orig in", + "u gs", + "ug s", + "o ir", + "oi r", + "> čĊ", + "Ġ-- >čĊ", + "Ġ--> čĊ", + "Ġrel ief", + "Ġreli ef", + "Ġrelie f", + "l ap", + "la p", + "q uer", + "qu er", + "que r", + "_ parent", + "_p arent", + "_par ent", + "_pa rent", + "he ap", + "hea p", + "L OSE", + "LO SE", + "LOS E", + "Ġ combine", + "Ġc ombine", + "Ġcom bine", + "Ġcomb ine", + "Ġcombin e", + "Ġ Rose", + "ĠR ose", + "ĠRo se", + "ĠRos e", + "o wers", + "ow ers", + "ower s", + "owe rs", + "Ġpro cedures", + "Ġproced ures", + "Ġprocedure s", + "Ġ Sort", + "ĠS ort", + "ĠSo rt", + "ĠSor t", + "a nim", + "an im", + "ani m", + "v ariant", + "var iant", + "vari ant", + "eh icle", + "Ġsign ing", + "Ġsig ning", + "Ġsignin g", + "Pr imary", + "Prim ary", + "Pri mary", + "c urrency", + "curr ency", + "Ġs exe", + "Ġse xe", + "Ġsex e", + "o en", + "oe n", + "th eta", + "the ta", + "e man", + "em an", + "ema n", + "Ġim pressive", + "Ġimp ressive", + "Ġimpress ive", + "( '_", + "(' _", + "ĉ U", + "Ġ TextStyle", + "ĠText Style", + "_ cnt", + "_c nt", + "_cn t", + "Ġ slice", + "Ġs lice", + "Ġsl ice", + "Ġslic e", + "( ':", + "(' :", + "Ġunder stood", + "Ġunderst ood", + "H is", + "Hi s", + "2 77", + "27 7", + "0 13", + "01 3", + "Ġin formed", + "Ġinform ed", + "Ġ nick", + "Ġn ick", + "Ġni ck", + "Ġnic k", + "4 29", + "42 9", + "( TAG", + "(T AG", + "h d", + "Ġe lections", + "Ġel ections", + "Ġelect ions", + "Ġelection s", + "Ġele ctions", + "es ture", + "est ure", + "Ġ Santa", + "ĠS anta", + "ĠSan ta", + "ĠSant a", + "ĠCo ast", + ". pdf", + ".p df", + "inc iple", + "incip le", + "inci ple", + ". clone", + ".cl one", + "b orn", + "bo rn", + "bor n", + "u ta", + "ut a", + "Ġ licensed", + "Ġl icensed", + "Ġlicense d", + "Ġlic ensed", + "Ġlicens ed", + "C r", + "Ġ bread", + "Ġb read", + "Ġbr ead", + "Ġbre ad", + "Ġ Houston", + "ĠH ouston", + "ĠHou ston", + "Ġ nod", + "Ġn od", + "Ġno d", + "Ġh opes", + "Ġhope s", + "Ġhop es", + "Ġho pes", + "Ġ CGRect", + "ĠCG Rect", + "Ġgu ilty", + "Ġguilt y", + ". gif", + ".g if", + "Ġ rose", + "Ġr ose", + "Ġro se", + "Ġros e", + ". Common", + ".Com mon", + ".Comm on", + "T ip", + "Ti p", + "A NK", + "AN K", + "Ġ FC", + "ĠF C", + "D uring", + "Du ring", + "Dur ing", + "Ġ Symfony", + "ĠSym fony", + "Ġdef ensive", + "k m", + ") >", + "a rchive", + "arch ive", + "arc hive", + "Ġ URI", + "ĠU RI", + "ĠUR I", + "y cling", + "yc ling", + "ycl ing", + "- o", + "Ġ Website", + "ĠWe bsite", + "ĠWeb site", + "A MP", + "AM P", + "4 05", + "40 5", + "ish ment", + "Ġdo ctors", + "Ġdoc tors", + "Ġdoctor s", + "D irect", + "Dir ect", + "Di rect", + "Dire ct", + "A RI", + "AR I", + "Ġ Redirect", + "ĠRe direct", + "ĠRed irect", + "i eren", + "ie ren", + "ier en", + "iere n", + "9 60", + "96 0", + "_ dist", + "_d ist", + "_dis t", + "_di st", + "y o", + "Ġ Progress", + "ĠPro gress", + "Ġz um", + "Ġzu m", + "Ġme mor", + "Ġmem or", + "Ġmemo r", + "Ġ ED", + "ĠE D", + "Ġ jur", + "Ġj ur", + "Ġju r", + "æį ®", + "_ TABLE", + "_T ABLE", + "_TAB LE", + "_TA BLE", + "Ġ uuid", + "Ġu uid", + "Ġuu id", + "Ex pr", + "Exp r", + ". head", + ".h ead", + ".he ad", + "( '%", + "(' %", + "point er", + "po inter", + "Ġ estimate", + "Ġest imate", + "Ġestim ate", + "Ġ Greg", + "ĠG reg", + "ĠGr eg", + "ĠGre g", + "Ġ loader", + "Ġl oader", + "Ġlo ader", + "Ġload er", + "Ġloa der", + "Ġ iOS", + "Ġi OS", + "Ġ mens", + "Ġm ens", + "Ġme ns", + "Ġmen s", + "[ y", + "Ġref used", + "Ġrefuse d", + "Ġ precision", + "Ġp recision", + "Ġpre cision", + "Ġprec ision", + "Ġprecis ion", + "i sch", + "is ch", + "isc h", + "Ġ ACTION", + "ĠA CTION", + "ĠAC TION", + "ĠACT ION", + "C loud", + "Cl oud", + "Clo ud", + "s With", + "( ret", + "(r et", + "(re t", + "2 92", + "29 2", + "_ ADDR", + "_A DDR", + "_ADD R", + "_AD DR", + "_ conf", + "_con f", + "_co nf", + "( df", + "(d f", + "Ġ locked", + "Ġl ocked", + "Ġloc ked", + "Ġlock ed", + "Ġ rising", + "Ġr ising", + "Ġris ing", + "Ġri sing", + "ãĥ» ãĥ»", + "Ġ Ms", + "ĠM s", + "Ġ scenes", + "Ġsc enes", + "Ġscene s", + "Ġscen es", + "Ġsce nes", + "_ EXT", + "_E XT", + "_EX T", + "_ raw", + "_r aw", + "_ra w", + "_ the", + "_t he", + "_th e", + "pe ople", + "Ġre con", + "Ġrec on", + "Ġreco n", + "Ġ Fun", + "ĠF un", + "ĠFu n", + "Ġb less", + "Ġbl ess", + "Ġble ss", + "Ġ Updated", + "ĠUp dated", + "ĠUpdate d", + "4 22", + "42 2", + "ü n", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠčĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠčĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠčĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ čĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠčĊ", + "p ection", + "pe ction", + "pect ion", + "pec tion", + "R elease", + "Re lease", + "Rel ease", + ". logger", + ".log ger", + ".lo gger", + "Ġ SY", + "ĠS Y", + "Ġc ounsel", + "Ġcoun sel", + "u rd", + "ur d", + "_ true", + "_tr ue", + "Ġevery body", + "iv ot", + "ivo t", + "Ġh ence", + "Ġhe nce", + "Ġhen ce", + "Ġ NAS", + "ĠN AS", + "ĠNA S", + "7 89", + "78 9", + "Ġop posed", + "Ġopp osed", + "Ġoppos ed", + "Ġoppose d", + "un known", + "unk nown", + "Ġ DESC", + "ĠD ESC", + "ĠDE SC", + "ĠDES C", + "Ġ Chair", + "ĠC hair", + "ĠCh air", + "ĠCha ir", + "f ailed", + "fa iled", + "fail ed", + "Ġ INCLUDING", + "ĠIN CLUDING", + "3 86", + "38 6", + "3 52", + "35 2", + "Ġ writers", + "Ġw riters", + "Ġwrit ers", + "Ġwrite rs", + "Ġwriter s", + "{ }Ċ", + "{} Ċ", + "ÃŃ t", + "_ copy", + "_c opy", + "_co py", + "} :", + "Ġ Bat", + "ĠB at", + "ĠBa t", + "Ġ converted", + "Ġcon verted", + "Ġconvert ed", + "Ġconver ted", + "e ding", + "ed ing", + "edi ng", + "edin g", + "pl acement", + "place ment", + "Ġ Host", + "ĠH ost", + "ĠHo st", + "ĠHos t", + "S ound", + "So und", + "Sou nd", + "и м", + "Ġs ought", + "Ġso ught", + "Ġsou ght", + "4 02", + "40 2", + "m id", + "mi d", + "Ġ salary", + "Ġs alary", + "Ġsal ary", + "Ġsala ry", + "o gg", + "og g", + "âĦ ¢", + "b ul", + "bu l", + "Ġw ir", + "Ġwi r", + "valid ator", + "_ STAT", + "_ST AT", + "_STA T", + ". store", + ".st ore", + "Ġ Battle", + "ĠB attle", + "ĠBat tle", + "ĠBatt le", + "ı n", + "Ġ -->ĊĊ", + "Ġ-- >ĊĊ", + "Ġ-->Ċ Ċ", + "Ġ--> ĊĊ", + "Tr ump", + "d ot", + "do t", + "Ġ CONT", + "ĠC ONT", + "ĠCON T", + "ĠCO NT", + ". fetch", + ".f etch", + "Ġcont inu", + "Ġcontin u", + "w as", + "wa s", + "Ġf raud", + "Ġfr aud", + "Ġfra ud", + "Ġfrau d", + "_ tmp", + "_t mp", + "_tm p", + "m itter", + "mit ter", + "mitt er", + ". pictureBox", + ".p ictureBox", + ".picture Box", + "G A", + "Ġ tournament", + "Ġt ournament", + ". Input", + ".In put", + "3 43", + "34 3", + "[ r", + "ex ion", + "cent age", + "ĠK orean", + "ĠKore an", + "ĠKorea n", + "ĠKor ean", + "u ndef", + "un def", + "und ef", + "unde f", + "Ġ Available", + "ĠA vailable", + "ĠAv ailable", + "re shape", + "res hape", + "resh ape", + "Ġ kit", + "Ġk it", + "Ġki t", + "Ġ Struct", + "ĠStr uct", + "Ġ SUB", + "ĠS UB", + "ĠSU B", + "An swer", + "Ans wer", + "_ lib", + "_l ib", + "_li b", + ". twitter", + ".t witter", + ".tw itter", + "Ġ ore", + "Ġo re", + "Ġor e", + "Ġ Dragon", + "ĠD ragon", + "ĠDr agon", + "ĠDrag on", + "ĠDra gon", + ". Ext", + ".Ex t", + ".E xt", + ", k", + "Ġex planation", + "Ġexplan ation", + "r efs", + "re fs", + "ref s", + "Ġ Drive", + "ĠD rive", + "ĠDr ive", + "Ġ Training", + "ĠTr aining", + "ĠTra ining", + "ĠTrain ing", + "2 82", + "28 2", + ". Has", + ".H as", + "3 41", + "34 1", + "int age", + "inta ge", + "b ig", + "bi g", + "olog ist", + "olo gist", + "ologi st", + "en nis", + "enn is", + "4 60", + "46 0", + "Ù ĩ", + "Ġch icken", + "Ġchi cken", + "Ġchick en", + "Ġchic ken", + "Ġ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ Ċ", + "ç Ľ", + "ãģ §", + "Ġ peak", + "Ġpe ak", + "Ġpea k", + "Ġdr inking", + "Ġdrink ing", + "Ġ encode", + "Ġen code", + "Ġenc ode", + "Ġ NEW", + "ĠN EW", + "ĠNE W", + "m alloc", + "mal loc", + "mall oc", + "ĉ fprintf", + "ĉf printf", + "Ġ= ================================================================", + "Ġ================= ================================================", + "Ġ================================================= ================", + "Ġ================================= ================================", + "Ġ============================================================== ===", + "in cluding", + "incl uding", + "inclu ding", + "Ġprincip les", + "Ġprinciple s", + "Ġprinc iples", + "Ġ Mah", + "ĠM ah", + "ĠMa h", + "2 67", + "26 7", + "st orage", + "sto rage", + "stor age", + "- key", + "-k ey", + "Ġ keyword", + "Ġkey word", + "% ;", + "Ġ trained", + "Ġtr ained", + "Ġtrain ed", + "Ġtra ined", + "Ġtrai ned", + ". contrib", + ".con trib", + ".cont rib", + "Ġ kv", + "Ġk v", + "__ ':Ċ", + "Ġ Boy", + "ĠB oy", + "ĠBo y", + "param eter", + "para meter", + "Ġ suite", + "Ġs uite", + "Ġsu ite", + "Ġsuit e", + "Ġsui te", + "Ġth ousand", + "Ġthous and", + "Ġthou sand", + "Ġ coordinate", + "Ġco ordinate", + "Ġcoord inate", + "Ġcoordin ate", + "- generated", + "-g enerated", + "íķ ĺ", + "g enerated", + "gener ated", + "generate d", + "gene rated", + "Ġad mitted", + "Ġadm itted", + "Ġadmit ted", + "Ġp ussy", + "Ġpus sy", + "Ġpuss y", + "# w", + "Ġsw im", + "un ion", + "uni on", + "N a", + "2 74", + "27 4", + "Ġ Royal", + "ĠR oyal", + "ĠRoy al", + "ĠRo yal", + ". channel", + ".ch annel", + "Up dated", + "Update d", + "_ ROOT", + "_R OOT", + "_RO OT", + "Ġv ital", + "Ġvi tal", + "Ġvit al", + "Ġvita l", + "3 35", + "33 5", + "r action", + "ra ction", + "rac tion", + "ract ion", + "ĠCr usher", + "ĠCrush er", + "ĠCru sher", + "ĠCrus her", + "Ġ preced", + "Ġpr eced", + "Ġpre ced", + "Ġprec ed", + "Ġ horizontal", + "Ġh orizontal", + "Ġhor izontal", + "Ġhorizon tal", + "Blue print", + "Ġ attrs", + "Ġat trs", + "Ġatt rs", + "Ġattr s", + "Ġsm oke", + "Ġsmo ke", + "Ð Ĵ", + ". Equals", + ".E quals", + ".Equal s", + "F B", + "Ġ Resources", + "ĠRe sources", + "ĠRes ources", + "ĠResource s", + "rol ling", + "roll ing", + "Ġ passes", + "Ġp asses", + "Ġpass es", + "Ġpas ses", + "Ġpasse s", + "Ġ Num", + "ĠN um", + "ĠNu m", + "r otate", + "rot ate", + "e type", + "et ype", + "ety pe", + "\\ \",", + "\\\" ,", + "Ġs ensitive", + "Ġsens itive", + "Ġsensit ive", + "Ġt all", + "Ġtal l", + "Ġta ll", + "? âĢĿĊĊ", + "?âĢĿ ĊĊ", + "Pro xy", + "Pr oxy", + "i y", + "_ section", + "_s ection", + "_se ction", + "_sec tion", + "âĢĶâĢĶ âĢĶâĢĶ", + "b rid", + "br id", + "Ġc ircuit", + "Ġcirc uit", + "a tan", + "at an", + "ata n", + "E NC", + "EN C", + "Ġdr iven", + "Ġdrive n", + "Ġdriv en", + "Ġdri ven", + "Ġv oted", + "Ġvo ted", + "Ġvot ed", + "Ġvote d", + "Ġeduc ational", + "Ġeducation al", + "Ġ interaction", + "Ġinter action", + "Ġinteract ion", + "Ġinte raction", + "ab etes", + "abe tes", + "abet es", + "Ġ tone", + "Ġt one", + "Ġto ne", + "Ġton e", + "ĠInitialize Component", + "Ġmer ely", + "Ġmere ly", + "Ġ ìŀ", + "Ġì ŀ", + "c ookie", + "co okie", + "cook ie", + "_ div", + "_d iv", + "_di v", + "Ġ UILabel", + "ĠUI Label", + "ĠUIL abel", + "v ely", + "ve ly", + "vel y", + "} );čĊ", + "}) ;čĊ", + "}); čĊ", + "_ ENT", + "_E NT", + "_EN T", + "#+ #+", + "art icles", + "article s", + "arti cles", + "artic les", + "Ġ Southern", + "ĠSouth ern", + "ĠSou thern", + "Ġstrong er", + "Ġstro nger", + "Ġstron ger", + "Ġ Given", + "ĠG iven", + "ĠGi ven", + "ĠGive n", + "Ġ Eric", + "ĠE ric", + "ĠEr ic", + "Ġ IR", + "ĠI R", + "a bstract", + "ab stract", + "abs tract", + "U nder", + "Un der", + "Und er", + "n able", + "na ble", + "Ġ increment", + "Ġin crement", + "Ġincre ment", + "Ġinc rement", + "Ġincr ement", + "o ven", + "ov en", + "ove n", + "Ġ coin", + "Ġc oin", + "Ġco in", + "Ġcoi n", + "_ timer", + "_t imer", + "_time r", + "_tim er", + "_ti mer", + "Ġsuffer ed", + "Ġsuff ered", + "Ġ FREE", + "ĠF REE", + "ĠFR EE", + "ĠFRE E", + "' ].\"", + "'] .\"", + "']. \"", + "Ġ Queen", + "ĠQu een", + "ĠQue en", + "st ats", + "stat s", + "sta ts", + "Ġmeet ings", + "Ġmeeting s", + "Ġmee tings", + "2 76", + "27 6", + "Ġen tering", + "Ġent ering", + "Ġenter ing", + "Ġalong side", + "( session", + "(s ession", + "(sess ion", + "it als", + "ital s", + "ita ls", + "Ġ foundation", + "Ġf oundation", + "Ġfound ation", + "Ġ Credit", + "ĠC redit", + "ĠCr edit", + "ĠCre dit", + ". div", + ".d iv", + ".di v", + "_ ALL", + "_A LL", + "_AL L", + "p cion", + "pc ion", + "pci on", + "_ stat", + "_s tat", + "_st at", + "_sta t", + "ic king", + "ick ing", + "Default s", + "_ src", + "_s rc", + "_sr c", + "Ġ outputs", + "Ġout puts", + "Ġoutput s", + "/ B", + "Ġen thus", + "Ġent hus", + "Ġenth us", + "- bl", + "-b l", + ". ForeColor", + ".Fore Color", + "ĉ temp", + "ĉt emp", + "F ace", + "Fac e", + "Fa ce", + "Ġinter act", + "Ġinte ract", + "Ġwe ird", + "Ġwei rd", + "Ġweir d", + "M ount", + "Mo unt", + "r ell", + "re ll", + "rel l", + "ud ents", + "ude nts", + "udent s", + "uden ts", + "Ġrequire ment", + "Ġrequ irement", + "Ġ Sus", + "ĠS us", + "ĠSu s", + "I ER", + "IE R", + "Ġe lected", + "Ġel ected", + "Ġelect ed", + "re ference", + "ref erence", + "refer ence", + "Ġ ME", + "ĠM E", + "Ġ servers", + "Ġs ervers", + "Ġser vers", + "Ġserver s", + "Ġserv ers", + "Ġserve rs", + ". wait", + ".w ait", + "Ġ snapshot", + "Ġs napshot", + "Ġsnap shot", + "Ġsnaps hot", + "il ton", + "ilt on", + "Ġ tries", + "Ġt ries", + "Ġtr ies", + "Ġtri es", + "Ġtrie s", + "Ġ tipo", + "Ġt ipo", + "Ġti po", + "Ġtip o", + ". Time", + ".T ime", + "> w", + "Ġm ountain", + "Ġmount ain", + "Ġp ounds", + "Ġpo unds", + "Ġpou nds", + "Ġpound s", + "Ġ[ ...", + "Ġ[. ..", + "ex ists", + "exist s", + "Ġng On", + "_ MAP", + "_M AP", + "_MA P", + "Ġf lying", + "Ġfl ying", + "Ġfly ing", + "3 31", + "33 1", + "xi ety", + "ĉ value", + "ĉv alue", + "ĉval ue", + "ĉva lue", + "_ DB", + "_D B", + "u no", + "un o", + "Ġse ats", + "Ġsea ts", + "Ġseat s", + "T URN", + "TU RN", + ". author", + ".a uthor", + ".auth or", + ".aut hor", + "! )", + "or ce", + "orc e", + "Ġind icated", + "Ġindic ated", + "Ġindicate d", + "Ġindica ted", + "3 17", + "31 7", + ". sin", + ".s in", + ".si n", + "Ġ assignment", + "Ġass ignment", + "Ġassign ment", + "im iento", + "imi ento", + "Ġ Frame", + "ĠF rame", + "ĠFr ame", + "ĠFra me", + "ĠFram e", + "3 24", + "32 4", + "_ gen", + "_g en", + "_ge n", + "in ery", + "ine ry", + "iner y", + "_ )", + "m essages", + "message s", + "mess ages", + ". settings", + ".s ettings", + ".set tings", + ".setting s", + "Ġ Mean", + "ĠM ean", + "ĠMe an", + "ĠM useum", + "ĠMus eum", + "ĠMuse um", + "i rq", + "ir q", + "at tach", + "att ach", + "atta ch", + "ĠPale stin", + "ĠPalest in", + "_ QU", + "_Q U", + "_ tags", + "_t ags", + "_tag s", + "_ta gs", + "Ġcas ual", + "e men", + "em en", + "eme n", + "ASS WORD", + "4 32", + "43 2", + "$ s", + "ĠC irc", + "ĠCi rc", + "ĠCir c", + "о й", + "оР¹", + "et ric", + "etr ic", + "etri c", + "/ P", + "0 18", + "01 8", + "Ġ epoch", + "Ġep och", + "< head", + " The", + ">T he", + "Ġ Ak", + "ĠA k", + "Ġ grass", + "Ġgr ass", + "Ġgra ss", + "Ġgras s", + "/ *čĊ", + "/* čĊ", + "( dis", + "(d is", + "(di s", + "Ġ guns", + "Ġg uns", + "Ġgu ns", + "Ġgun s", + "Ġ tb", + "Ġt b", + "Ġ Kevin", + "ĠK evin", + "ĠKe vin", + ". args", + ".ar gs", + ".arg s", + "Ġ Ah", + "ĠA h", + "o ped", + "op ed", + "ope d", + "( J", + "column s", + "arg uments", + "argument s", + "ĠWith Events", + "_ full", + "_f ull", + "_fu ll", + "Ġ Defense", + "ĠDef ense", + "S imple", + "Sim ple", + "Ġde aths", + "Ġdeath s", + "2 95", + "29 5", + "Ġext ensive", + "Ġ Still", + "ĠSt ill", + "Ġ Expression", + "ĠEx pression", + "ĠExp ression", + "ĠExpress ion", + "ĠExpr ession", + "Ġ Agency", + "ĠA gency", + "ĠAg ency", + "ĠAge ncy", + "Ġper forming", + "Ġperform ing", + "Ġperfor ming", + "F X", + "Ġ usuario", + "Ġus uario", + "Ġusu ario", + "U AL", + "UA L", + "S ide", + "Si de", + "Sid e", + "o dos", + "od os", + "odo s", + "ap top", + "apt op", + "Ġ credentials", + "Ġc redentials", + "Ġcred entials", + "Ġcredential s", + "_ cap", + "_c ap", + "_ca p", + "at ient", + "ati ent", + "atie nt", + "Ġ Disney", + "ĠDis ney", + "Ġ ai", + "Ġa i", + "Ġ chip", + "Ġc hip", + "Ġch ip", + "Ġchi p", + "Ġ volt", + "Ġv olt", + "Ġvo lt", + "Ġvol t", + ".make Text", + "%%%%%%%% %%%%%%%%", + "Ġ belief", + "Ġbel ief", + "Ġbelie f", + "_ LOC", + "_L OC", + "_LO C", + "Ġ Civil", + "ĠC ivil", + "ĠCi vil", + "ĠCiv il", + "N avigation", + "Nav igation", + "Navig ation", + "Ġ reveal", + "Ġre veal", + "Ġreve al", + "Ġ violent", + "Ġviol ent", + "Ġ Fil", + "ĠF il", + "ĠFi l", + "Ġ catalog", + "Ġc atalog", + "Ġcat alog", + "Ġcata log", + "Ġcatal og", + "e med", + "em ed", + "eme d", + "s can", + "sc an", + ". control", + ".c ontrol", + ".cont rol", + "Ġ constitution", + "Ġcon stitution", + "Ġconst itution", + "Ġconstit ution", + "Ġconstitu tion", + "C ountry", + "Count ry", + "S eparator", + "Se parator", + "Separ ator", + "_ APP", + "_A PP", + "_AP P", + "t opic", + "to pic", + "top ic", + "u etooth", + "uet ooth", + "M IN", + "MI N", + "Ġ descriptor", + "Ġdes criptor", + "y t", + "ET HER", + "ETH ER", + "Ġd istribute", + "Ġdis tribute", + "Ġdistrib ute", + "' }Ċ", + "'} Ċ", + ". trim", + ".t rim", + ".tr im", + ". Line", + ".L ine", + "Ġ lbl", + "Ġl bl", + "Ġlb l", + "assert Equals", + "Ġ Det", + "ĠD et", + "ĠDe t", + "omb ok", + "ombo k", + "( width", + "(w idth", + "Ġt ort", + "Ġto rt", + "Ġtor t", + "ĠEX PRESS", + "ĠEXP RESS", + "a co", + "ac o", + "U sing", + "Us ing", + "Ġ Brand", + "ĠB rand", + "ĠBr and", + "ĠBra nd", + "ĠBran d", + "w all", + "wa ll", + "wal l", + "E MENT", + "EM ENT", + "Ġ Communic", + "ĠComm unic", + "ĠCommun ic", + "< uint", + " (Ċ", + ">( Ċ", + "? >\"", + "?> \"", + "Ġ ///Ċ", + "Ġ// /Ċ", + "Ġ/ //Ċ", + "Ġ/// Ċ", + "Ġe iner", + "Ġein er", + "Ġeine r", + "Ġei ner", + "Ġ weekly", + "Ġweek ly", + "ĉ logger", + "ĉlog ger", + "_ pop", + "_p op", + "_po p", + "_ man", + "_m an", + "_ma n", + "Ġm igrations", + "Ġmigr ations", + "Ġmigration s", + "Ġ asks", + "Ġas ks", + "Ġask s", + "Ġ bs", + "Ġb s", + "Ġ falls", + "Ġf alls", + "Ġfall s", + "Ġfal ls", + ". Where", + ".W here", + ".Wh ere", + "- height", + "-h eight", + "-he ight", + "_ feature", + "_f eature", + "_fe ature", + "_feat ure", + ". Min", + ".M in", + "Ġ hyper", + "Ġh yper", + "Ġhy per", + "Ġhyp er", + "Ġhype r", + "Ġ volatile", + "Ġv olatile", + "Ġvol atile", + "Ġ twenty", + "Ġtw enty", + "Ġtwe nty", + "Typ ography", + "U nable", + "Un able", + "Una ble", + "D et", + "De t", + ", f", + "- mod", + "-m od", + "Ġset tlement", + "Ġsett lement", + "Ġsettle ment", + "Ġ contracts", + "Ġcon tracts", + "Ġcontract s", + "Ġcontr acts", + "Ġcontra cts", + "n ome", + "no me", + "nom e", + "B ad", + "Ba d", + "Ġ Brian", + "ĠB rian", + "ĠBr ian", + "ĠBri an", + "7 68", + "76 8", + "( username", + "(user name", + "! !!!", + "!! !!", + "!!! !", + "Ġ hack", + "Ġh ack", + "Ġha ck", + "Ġhac k", + ". Field", + ".F ield", + "H R", + "Ġ Jordan", + "ĠJ ordan", + "ĠJord an", + "i za", + "iz a", + "Ġ Âł", + "Ġ ł", + "Ġ Sher", + "ĠS her", + "ĠSh er", + "ĠShe r", + ". header", + ".head er", + ".he ader", + "( other", + "(o ther", + "Ġ Dub", + "ĠD ub", + "ĠDu b", + "( op", + "(o p", + "Ġ Round", + "ĠR ound", + "ĠRo und", + "ĠRou nd", + "Ġ vie", + "Ġv ie", + "Ġvi e", + "Ġ appl", + "Ġapp l", + "Ġap pl", + "ĉ J", + "Ġ Insert", + "ĠIn sert", + "ĠIns ert", + "Ġ LP", + "ĠL P", + "re gon", + "reg on", + "rego n", + "Ġ MPI", + "ĠM PI", + "ĠMP I", + "Ġ anchor", + "Ġan chor", + "Ġanch or", + "Ġanc hor", + "a ca", + "ac a", + "ø r", + "Ġ ade", + "Ġa de", + "Ġad e", + "an chor", + "anc hor", + "anch or", + "qu ee", + "que e", + "Ġ TreeNode", + "ĠT reeNode", + "ĠTree Node", + "Ġtarget ed", + "Ġtarg eted", + "Ġl aid", + "Ġla id", + "Ġlai d", + "A BEL", + "AB EL", + "v et", + "ve t", + "Ġ Origin", + "ĠOr igin", + "ĠOri gin", + "ĠOrig in", + "A nt", + "An t", + ". ');Ċ", + ".' );Ċ", + ".') ;Ċ", + ".'); Ċ", + "ex pect", + "exp ect", + "ed Reader", + "Ġ Major", + "ĠM ajor", + "ĠMaj or", + "Ġ inch", + "Ġin ch", + "Ġinc h", + "Com par", + "Co mpar", + "Comp ar", + "Ġ preview", + "Ġp review", + "Ġpr eview", + "Ġpre view", + "Ġprev iew", + "Ġill ness", + "ĠCON TRACT", + "ĠCONTR ACT", + "ĠCONT RACT", + "Ġ Independ", + "ĠIn depend", + "ĠInd epend", + "u uid", + "uu id", + "Ġ nome", + "Ġn ome", + "Ġno me", + "Ġnom e", + "Ġ tc", + "Ġt c", + "ĠA venue", + "i san", + "is an", + "isa n", + "Ġ phrase", + "Ġph rase", + "_ move", + "_m ove", + "_mov e", + "_mo ve", + "\" )[", + "\") [", + "4 12", + "41 2", + "Ġpro vision", + "Ġprov ision", + "Ġconc entr", + "Ġconcent r", + "_ IR", + "_I R", + "Ġ Ut", + "ĠU t", + "( )+", + "() +", + "Ġ nas", + "Ġn as", + "Ġna s", + "! ,", + "Ġ Robin", + "ĠRob in", + "ĠRo bin", + "i ations", + "iation s", + "iat ions", + "at itude", + "Ġ px", + "Ġp x", + "Ġ Without", + "ĠWith out", + "/ bash", + "/b ash", + "e kt", + "ek t", + "re ement", + "ree ment", + "3 42", + "34 2", + "Ob server", + "Observ er", + "Obs erver", + "3 18", + "31 8", + "Ġ Region", + "ĠReg ion", + "UB LIC", + "UBL IC", + "Ġ {//", + "Ġ{ //", + "K N", + "å ·", + "Game Object", + "å ¾", + "en coding", + "enc oding", + "enco ding", + "Ġ ***", + "Ġ* **", + "Ġ** *", + "project s", + "proj ects", + "Ġ tk", + "Ġt k", + "Ġche ese", + "Ġchees e", + "EM PL", + "EMP L", + "a ro", + "ar o", + "Ġ اÙĦ", + "Ġا ÙĦ", + "6 10", + "61 0", + "3 37", + "33 7", + "Ġcons ists", + "Ġconsist s", + "re fresh", + "ref resh", + "u reau", + "ure au", + "Ġ Scanner", + "ĠSc anner", + "ĠScan ner", + "Ġs oil", + "Ġso il", + "Ġfl avor", + "Ġflav or", + "Ġfla vor", + "Data Source", + "Ex ecute", + "Exec ute", + "е ние", + "ен ие", + "ени е", + "Ġ shit", + "Ġs hit", + "Ġsh it", + "åĪ Ĩ", + "< any", + " < /", + "Qu antity", + "Quant ity", + "qu iry", + "quir y", + "qui ry", + "_ tab", + "_t ab", + "_ta b", + "Ġ alg", + "Ġa lg", + "Ġal g", + "To ast", + "re size", + "res ize", + "resi ze", + "quest ions", + "question s", + "s chema", + "sch ema", + "L iteral", + "Lite ral", + "Lit eral", + "Liter al", + "( entity", + "(e ntity", + "(ent ity", + "NE CTION", + "NECT ION", + "ch anged", + "change d", + "chan ged", + "chang ed", + "_ FIELD", + "_F IELD", + "_ HEIGHT", + "_HE IGHT", + "Ġ organic", + "Ġorg anic", + "Ġorgan ic", + "P RE", + "PR E", + "Ġ Cat", + "ĠC at", + "ĠCa t", + ". Draw", + ".D raw", + "E s", + "Ġ loud", + "Ġl oud", + "Ġlo ud", + "Ġlou d", + "6 80", + "68 0", + "Ġ ĠĠĠĠĠĠĠĉ", + "ĠĠ ĠĠĠĠĠĠĉ", + "ĠĠĠĠ ĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠ ĉ", + "ĠĠĠ ĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠ Ġĉ", + "ĠĠĠĠĠ ĠĠĠĉ", + "ĠĠĠĠĠĠ ĠĠĉ", + "Ġ Kat", + "ĠK at", + "ĠKa t", + "Ġ heap", + "Ġhe ap", + "âĢľ It", + "âĢľI t", + "0 70", + "07 0", + "e tr", + "et r", + "Ġ unlikely", + "Ġun likely", + "Ġunlike ly", + "er als", + "era ls", + "eral s", + "/ auth", + "/a uth", + "5 02", + "50 2", + "t odo", + "to do", + "tod o", + "P lace", + "Pl ace", + "Post ed", + "Pos ted", + "Po sted", + "Com ments", + "Comment s", + "Comm ents", + "Ġ Tech", + "ĠT ech", + "ĠTe ch", + "ĠTec h", + "Ġ Finally", + "ĠF inally", + "ĠFin ally", + "ĠFinal ly", + "eg ration", + "egr ation", + "egra tion", + "Ġ minimal", + "Ġmin imal", + "Ġmini mal", + "Ġminim al", + "Ġ Files", + "ĠF iles", + "ĠFile s", + "ĠFil es", + "ĠFi les", + "Ġt amb", + "Ġta mb", + "Ġtam b", + "ë¡ ľ", + "Ġ Release", + "ĠR elease", + "ĠRe lease", + "ĠRel ease", + "4 25", + "42 5", + ". resize", + ".re size", + ".res ize", + "Ġ Ï", + "c ollect", + "col lect", + "coll ect", + "= p", + "ĠLI ABLE", + "Ġp roducing", + "Ġprodu cing", + "Ġprod ucing", + "- wrapper", + "-w rapper", + "-wrap per", + "Ġs ingles", + "Ġsingle s", + "Ġsin gles", + "Ġsing les", + "ĠN BA", + "ĠNB A", + "o rr", + "or r", + "e ren", + "er en", + "ere n", + ". addAction", + ".add Action", + "Ġ thesis", + "Ġth esis", + "Ġthe sis", + "d n", + "P TY", + "PT Y", + ". des", + ".d es", + ".de s", + "Ġb acter", + "Ġba cter", + "Ġbac ter", + "Ġ Express", + "ĠEx press", + "ĠExp ress", + "ĠExpr ess", + "Ġ *)Ċ", + "Ġ* )Ċ", + "Ġ*) Ċ", + "å ij", + "/ admin", + "/ad min", + "se conds", + "sec onds", + "second s", + "åĬ Ł", + "uss ion", + "a beth", + "ab eth", + "abe th", + "abet h", + "Ġ Computer", + "ĠCom puter", + "ĠComp uter", + "ĠCompute r", + "ĠComput er", + "Ġr uling", + "Ġru ling", + "(\" ../", + "(\". ./", + "(\".. /", + ". GET", + ".G ET", + "ĠMe dal", + "ĠMed al", + "ition ally", + "itional ly", + "com mit", + "comm it", + "f ocus", + "fo cus", + "_ LEVEL", + "_LE VEL", + "i nda", + "in da", + "ind a", + "F act", + "Fac t", + "Fa ct", + "= np", + "=n p", + "=\" \">Ċ", + "=\"\" >Ċ", + "=\"\"> Ċ", + "Ġsub sequent", + "Ġsubsequ ent", + "pos able", + "- fluid", + "-fl uid", + "Ġth orough", + "Ġtho rough", + "Ġthor ough", + "Ġpublic ly", + "Ġpubli cly", + "ap ters", + "apt ers", + "apter s", + "Ġ Wilson", + "ĠWil son", + "_ PRE", + "_P RE", + "_PR E", + "y ard", + "ya rd", + "yar d", + "ä ¼", + "ĉ in", + "ĉi n", + "3 39", + "33 9", + "Ġre vers", + "Ġrev ers", + "Ġreve rs", + "Ġrever s", + "Ġ bullet", + "Ġb ullet", + "Ġbul let", + "Ġbull et", + "cri bed", + "cribe d", + "nes ota", + "Ġ ($_", + "Ġ( $_", + "Ġ($ _", + "an non", + "ann on", + "anno n", + "c ursor", + "curso r", + "Ġclo thing", + "Ġcloth ing", + "Ġ Multi", + "ĠM ulti", + "ĠMult i", + "ĠMul ti", + "2 87", + "28 7", + ": ',", + ":' ,", + "Ġv ess", + "Ġve ss", + "Ġves s", + "ord inator", + "ordin ator", + "Ġe inem", + "Ġein em", + "Ġeine m", + "Ġei nem", + "C annot", + "Can not", + "Ġ armed", + "Ġar med", + "Ġarm ed", + "ĉ V", + "ä¸ Ĭ", + ". Flat", + ".F lat", + ".Fl at", + "Ġ Sep", + "ĠS ep", + "ĠSe p", + "Ġ Subject", + "ĠSub ject", + "ĠSu bject", + "_ font", + "_f ont", + "Ġcharacter istics", + "Ġcharacteristic s", + "D one", + "Do ne", + "Don e", + "e ln", + "el n", + "#### ########", + "######## ####", + "##### #######", + "###### ######", + "####### #####", + "P OS", + "PO S", + "Ġ density", + "Ġd ensity", + "Ġdens ity", + "Ġ Platform", + "ĠPl atform", + "ĠPlat form", + "- items", + "-item s", + "-i tems", + "-it ems", + "Ġ overs", + "Ġo vers", + "Ġover s", + "Ġov ers", + "Ġp ushing", + "Ġpush ing", + "ç ¤", + ". Connection", + ".Con nection", + ".Connect ion", + ".Conn ection", + "_ term", + "_t erm", + "_te rm", + "_ter m", + "Ġinitial ization", + "________________ ________________", + "ç ¬", + ". document", + ".d ocument", + ".doc ument", + "l esh", + "le sh", + "les h", + "ĉ document", + "ĉd ocument", + "ĉdoc ument", + "Ġ Pin", + "ĠP in", + "ĠPi n", + "ç a", + "Ġ definitions", + "Ġdefinition s", + "Ġdefinit ions", + "Ġdefin itions", + ". Path", + ".P ath", + "_ WRITE", + "_W RITE", + "_WR ITE", + "Ġ ĉĊ", + "Ġĉ Ċ", + "? >ĊĊ", + "?> ĊĊ", + "?>Ċ Ċ", + "Ġter rible", + "Ġterr ible", + "b ean", + "be an", + "ick ets", + "icket s", + "Ġ SV", + "ĠS V", + "B uy", + "Bu y", + "( task", + "(t ask", + "Ġreg ime", + "g oogle", + "go ogle", + "goog le", + "goo gle", + "Ġc rack", + "Ġcr ack", + "Ġcra ck", + ". visit", + ".vis it", + "N UM", + "NU M", + "e nergy", + "en ergy", + "ener gy", + "Ġs truck", + "Ġstr uck", + "Ġstru ck", + "_ sample", + "_s ample", + ". payload", + ".p ayload", + ".pay load", + "Ġre vis", + "Ġrev is", + "Ġ Scene", + "ĠS cene", + "ĠSc ene", + "Ġ pg", + "Ġp g", + "Ġbreak fast", + "URRE NT", + ". charAt", + ".char At", + "_ exception", + "_ex ception", + "_except ion", + "ĠA nton", + "ĠAn ton", + "ĠAnt on", + "Ġguide lines", + "Ġguid elines", + "Ġguideline s", + "Ġex haust", + "Ġ Financial", + "ĠFin ancial", + "Ġ indent", + "Ġin dent", + "Ġind ent", + "Ġinde nt", + "Ġ desktop", + "Ġd esktop", + "Ġdes ktop", + "Ġdesk top", + "H idden", + "Hi dden", + "F ailure", + "Fail ure", + "Ġpr inciple", + "Ġprincip le", + "Ġprinc iple", + "Ġ iv", + "Ġi v", + "Ġs eks", + "Ġse ks", + "Ġsek s", + "n etwork", + "net work", + "Ġ numberOf", + "Ġnumber Of", + "Ġ Albert", + "ĠAl bert", + "ĠAlb ert", + "ĉ long", + "ĉl ong", + "8 01", + "80 1", + ", .", + "Ġ zeros", + "Ġz eros", + "Ġzero s", + "Ġze ros", + "Ġzer os", + "f ade", + "fa de", + "fad e", + "Ġ Typ", + "ĠT yp", + "ĠTy p", + "Ġ Term", + "ĠT erm", + "ĠTe rm", + "ĠTer m", + "ĠA rts", + "ĠAr ts", + "ĠArt s", + ". Application", + ".App lication", + ".Ap plication", + "Ġbe half", + "Ġbeh alf", + "æĪ ·", + "Ġ mere", + "Ġm ere", + "Ġme re", + "Ġmer e", + "( `${", + "(` ${", + "Ġaware ness", + "el pers", + "elp ers", + "elper s", + "f lix", + "fl ix", + "Ġ weigh", + "Ġwe igh", + "Ġwei gh", + "Ġest imates", + "Ġestim ates", + "Ġestimate s", + ". child", + ".ch ild", + "/ O", + "Ġ Bitmap", + "ĠB itmap", + "ĠBit map", + ". bottom", + ".b ottom", + ".bot tom", + "Ġ** ************************************************************************", + "Ġ************************************************************************ **", + "Ex pect", + "Exp ect", + "en to", + "ent o", + "Ġ Forum", + "ĠF orum", + "ĠFor um", + "ĠFo rum", + "v eral", + "ver al", + "ve ral", + "Ġj ail", + "Ġja il", + "Ġ abilities", + "Ġab ilities", + "ĠH OLD", + "ĠHO LD", + "ĠHOL D", + "Ġ Cit", + "ĠC it", + "ĠCi t", + "Ġd ynam", + "Ġdy nam", + "Ġdyn am", + "Ġ gray", + "Ġg ray", + "Ġgr ay", + "Ġgra y", + "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉ", + ". nextInt", + ".next Int", + "ant ly", + "ĠAR ISING", + "( private", + "(pr ivate", + "(priv ate", + "Ġ rejected", + "Ġre jected", + "Ġreject ed", + "Ġrej ected", + "Ġ Nic", + "ĠN ic", + "ĠNi c", + "Ġle ather", + "= {Ċ", + "={ Ċ", + "aly tics", + "t hetic", + "th etic", + "the tic", + ". Top", + ".T op", + ".To p", + "3 73", + "37 3", + ". Page", + ".P age", + "={ `", + "Ġ ;čĊ", + "Ġ; čĊ", + "de pth", + "dep th", + "dept h", + "m ann", + "man n", + "ma nn", + "W D", + "Ġ Som", + "ĠS om", + "ĠSo m", + ". Right", + ".R ight", + "Ġ )}Ċ", + "Ġ) }Ċ", + "Ġ trait", + "Ġt rait", + "Ġtr ait", + "Ġtra it", + "Ġtrai t", + "à Ĺ", + "i ac", + "ia c", + "Ġ rv", + "Ġr v", + "S ample", + "Sam ple", + ". Xml", + ".X ml", + "o pped", + "op ped", + "opp ed", + "Ġ ÑĦ", + "ĠÑ Ħ", + "l ists", + "li sts", + "list s", + "lis ts", + "Ġt ear", + "Ġte ar", + "Ġtea r", + "ivers ary", + ". collection", + ".c ollection", + ".col lection", + ".collect ion", + ".coll ection", + "ĠCon stitution", + "ĠConst itution", + "ĠConstit ution", + "Ġ HttpResponse", + "ĠHttp Response", + "Ġbr ill", + "Ġbri ll", + "Ġ Prom", + "ĠP rom", + "ĠPro m", + "ĠPr om", + "h over", + "ho ver", + "3 66", + "36 6", + "Ġ Miami", + "ĠM iami", + "ĠMi ami", + "ĠMia mi", + "Ġar gue", + "Ġarg ue", + "_ float", + "_f loat", + "5 04", + "50 4", + "Ġ ãĤ", + "Ġ nat", + "Ġn at", + "Ġna t", + "ĠT al", + "ĠTa l", + "Ġ integration", + "Ġint egration", + "Ġinteg ration", + "Ġintegr ation", + "( cur", + "(c ur", + "Ġre moving", + "Ġrem oving", + "Ġ coeff", + "Ġc oeff", + "Ġco eff", + "Ġcoef f", + "Ġ Though", + "ĠTh ough", + "ĠThou gh", + "Ġ forecast", + "Ġfor ecast", + "Ġfore cast", + "4 08", + "40 8", + "ĠV egas", + "ĠVe gas", + "ĠVega s", + "ĠVeg as", + "S ite", + "Si te", + "Sit e", + "3 46", + "34 6", + "Ġt rab", + "Ġtr ab", + "Ġtra b", + "Ġ Henry", + "ĠHen ry", + "- i", + "Ġinv olves", + "Ġinvol ves", + "Ġinvolve s", + "B T", + "Ġs lo", + "Ġsl o", + "In voke", + "Inv oke", + "Ġl ucky", + "Ġluck y", + "Ġlu cky", + "Ġluc ky", + "0 25", + "02 5", + "r at", + "ra t", + "Ġ ?Ċ", + "Ġ? Ċ", + "Ġ handled", + "Ġhand led", + "Ġhandle d", + "( fd", + "(f d", + "cont ents", + "content s", + "conte nts", + "Ġ OFF", + "ĠO FF", + "ĠOF F", + "R F", + "Ġ sty", + "Ġs ty", + "Ġst y", + "Ġ Motor", + "ĠM otor", + "ĠMo tor", + "ĠMot or", + "ĠMoto r", + "t ery", + "ter y", + "te ry", + "t ax", + "ta x", + "M AP", + "MA P", + "Ġ Mrs", + "ĠM rs", + "ĠMr s", + "Ġ phones", + "Ġph ones", + "Ġphone s", + "Ġphon es", + "Ġ UIView", + "ĠUI View", + "\" )));Ċ", + "\") ));Ċ", + "\")) );Ċ", + "\"))) ;Ċ", + "\"))); Ċ", + "( dev", + "(d ev", + "(de v", + "ĠI rish", + "ĠIr ish", + "ĠIris h", + "0 19", + "01 9", + "Ġ ws", + "Ġw s", + "D I", + "_ OFFSET", + "_OFF SET", + "Ġ Events", + "ĠE vents", + "ĠEvent s", + "ĠEven ts", + "ĠEv ents", + "ĠEve nts", + "Ġst ages", + "Ġstage s", + "Ġsta ges", + "Ġstag es", + "Ġ }//", + "Ġ} //", + "Ġh aben", + "Ġhab en", + "Ġha ben", + "Ġhabe n", + "ST ANCE", + "Ġ Sin", + "ĠS in", + "ĠSi n", + "Ġ Money", + "ĠM oney", + "ĠMon ey", + "ĠMo ney", + "( top", + "(t op", + "(to p", + "Ġ appointment", + "Ġapp ointment", + "Ġappoint ment", + "V ERSION", + "VER SION", + "VERS ION", + "m etadata", + "met adata", + "meta data", + "_ comment", + "_com ment", + "_comm ent", + "Ġcolle agues", + "Ġcolleague s", + "m aps", + "ma ps", + "map s", + "â ĺ", + "Ċ ĉĊ", + "( al", + "(a l", + "_ req", + "_re q", + "_r eq", + "Ġf ut", + "Ġfu t", + "Ġ architecture", + "Ġarch itecture", + "Ġarchitect ure", + "Ġarchit ecture", + "3 51", + "35 1", + "ĠWH ETHER", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "_ screen", + "_s creen", + "_sc reen", + "_scr een", + "Ġstyle Urls", + "Ġ monster", + "Ġmon ster", + ". up", + ".u p", + "ph ia", + "phi a", + "Ġ processor", + "Ġprocess or", + "Ġproc essor", + "Ġprocesso r", + "Ġ Terr", + "ĠT err", + "ĠTe rr", + "ĠTer r", + "= ',", + "=' ,", + "Ġ Manufact", + "ĠMan ufact", + "Ġ NT", + "ĠN T", + "k el", + "ke l", + "i bern", + "ib ern", + "iber n", + "ibe rn", + "ĉ file", + "ĉf ile", + "ĉfi le", + "A li", + "Al i", + "rient ation", + "Ġ //!", + "Ġ// !", + "ap ore", + "apor e", + "apo re", + "an eous", + "ane ous", + "Ġ Creat", + "ĠC reat", + "ĠCr eat", + "ĠCre at", + "f older", + "fo lder", + "fol der", + "fold er", + "4 15", + "41 5", + "Ġ hay", + "Ġh ay", + "Ġha y", + "Sup press", + "( left", + "(l eft", + "(le ft", + "Ġe uro", + "Ġeu ro", + "Ġdis claimer", + "u stry", + "us try", + "ust ry", + "ustr y", + "s hips", + "sh ips", + "ship s", + "shi ps", + "_ fd", + "_f d", + "Ġ Fa", + "ĠF a", + "_ insert", + "_in sert", + "_ins ert", + "Ġ rol", + "Ġr ol", + "Ġro l", + "if ting", + "ift ing", + "Ġ Comments", + "ĠCom ments", + "ĠComm ents", + "ĠComment s", + "_ br", + "_b r", + "Ġlos ses", + "Ġloss es", + "Ġ Added", + "ĠAd ded", + "ĠAdd ed", + "ch arg", + "char g", + "cha rg", + "Ġ по", + "Ġп о", + "_ system", + "_s ystem", + "_sys tem", + "_sy stem", + "Ġ Sometimes", + "ĠS ometimes", + "ĠSome times", + "ĠSom etimes", + "Ġ Spain", + "ĠS pain", + "ĠSp ain", + "ĠSpa in", + "( group", + "(g roup", + "(gr oup", + "i alis", + "ial is", + "ia lis", + "iali s", + "Ġd ollar", + "Ġdoll ar", + "Ġdol lar", + "Ġ Args", + "ĠAr gs", + "ĠArg s", + "4 99", + "49 9", + "2 97", + "29 7", + "qu ires", + "quire s", + "quir es", + "qui res", + "Ġ Ten", + "ĠT en", + "ĠTe n", + ". scss", + ".s css", + ".sc ss", + "Ġsurv ive", + "Ġsurviv e", + "u sage", + "us age", + "usa ge", + "Ġ jun", + "Ġj un", + "Ġju n", + "im iter", + "imit er", + "imi ter", + "ï¼ģ ĊĊ", + "ï¼ģĊ Ċ", + "Ġf ifth", + "Ġfif th", + "t oggle", + "tog gle", + "Ġde cline", + "Ġdec line", + "Ġdecl ine", + "( $\"", + "($ \"", + "( Long", + "(L ong", + "i nge", + "in ge", + "ing e", + "Ġp ilot", + "Ġpi lot", + "Ġpil ot", + "- light", + "-l ight", + "-li ght", + "- radius", + "-r adius", + "-rad ius", + "Ġp odcast", + "Ġpod cast", + "Ġn aturally", + "Ġnatural ly", + "Ġnatur ally", + "Ġnat urally", + "P ages", + "Page s", + "Pa ges", + "Pag es", + "ä¸ º", + "Ġ Despite", + "ĠDes pite", + "Ġl ighting", + "Ġlight ing", + "Ġ crate", + "Ġc rate", + "Ġcr ate", + "Ġcra te", + "Ġ Binary", + "ĠB inary", + "ĠBin ary", + "Ġred ucing", + "Ġredu cing", + "Ġe leg", + "Ġel eg", + "Ġele g", + "Ġ Mouse", + "ĠM ouse", + "ĠMo use", + "ĠMou se", + "ĠTest Bed", + "Ġbefore Each", + "_ ARRAY", + "_AR RAY", + "_ARR AY", + "Re direct", + "Red irect", + "3 29", + "32 9", + "Ġf lood", + "Ġfl ood", + "Ġflo od", + "Ġ ships", + "Ġs hips", + "Ġsh ips", + "Ġship s", + "3 63", + "36 3", + "Ġelectric ity", + "Ġelectr icity", + ") *(", + ")* (", + "ê ¸", + "Ġ Viet", + "ĠV iet", + "ĠVi et", + "ĠVie t", + "h ero", + "he ro", + "her o", + "Ġ dia", + "Ġd ia", + "Ġdi a", + "Ġ Kent", + "ĠK ent", + "ĠKe nt", + "ĠKen t", + "he art", + "hea rt", + "hear t", + "Ġthreat s", + "_ acc", + "_a cc", + "_ac c", + "Ġ symbols", + "Ġs ymbols", + "Ġsymbol s", + "Ġsymb ols", + "is chen", + "isc hen", + "ische n", + "isch en", + "_ inst", + "_in st", + "_i nst", + "_ins t", + "C riterion", + "Ġ TIM", + "ĠT IM", + "ĠTI M", + ". Height", + ".H eight", + ".He ight", + "5 80", + "58 0", + "Ġ âĢĻ", + "ĠâĢ Ļ", + "( );ĊĊĊ", + "() ;ĊĊĊ", + "();Ċ ĊĊ", + "();ĊĊ Ċ", + "(); ĊĊĊ", + "Product s", + "Produ cts", + "_ SP", + "_S P", + "Ġ Cy", + "ĠC y", + "Ġ dependent", + "Ġdep endent", + "Ġdepend ent", + "e ste", + "es te", + "est e", + "Ġ datos", + "Ġd atos", + "Ġda tos", + "Ġdat os", + "Ġdato s", + "d it", + "di t", + "а в", + "аР²", + "IG NAL", + "IGN AL", + "Ġ lesson", + "Ġl esson", + "Ġle sson", + "Ġless on", + "Ġles son", + "\" >'", + "\"> '", + "Ġ Cover", + "ĠC over", + "ĠCo ver", + "ĠCov er", + "ĠCove r", + "Ġ Hope", + "ĠH ope", + "ĠHo pe", + "ĠHop e", + "Ġ Timer", + "ĠT imer", + "ĠTime r", + "ĠTim er", + "ĠTi mer", + "Ġ dad", + "Ġd ad", + "Ġda d", + "v iders", + "vid ers", + "vider s", + "vi ders", + "vide rs", + "Ġ Phot", + "ĠP hot", + "ĠPh ot", + "/ ?", + "r opy", + "ro py", + "rop y", + "o ming", + "om ing", + "omin g", + "omi ng", + "as ion", + "asi on", + "asio n", + "Ġ \\(", + "Ġ\\ (", + "Ġ ET", + "ĠE T", + "Ġ Reading", + "ĠRe ading", + "ĠRead ing", + "Ġep isodes", + "Ġepisode s", + "Ġepis odes", + "l m", + "4 21", + "42 1", + "e cha", + "ec ha", + "ech a", + "Ġne uro", + "Ġneu ro", + "Ġneur o", + "8 20", + "82 0", + "Ġhar mon", + "Ġharm on", + "Ġlib eral", + "Ġliber al", + "- ind", + "-in d", + "-i nd", + "3 93", + "39 3", + "D ATA", + "DA TA", + "DAT A", + "Ġevery day", + "Ġdi vided", + "Ġdiv ided", + "Ġdivide d", + "Ġdivid ed", + "ĠActive Record", + "f igure", + "fig ure", + "figur e", + "U A", + "ä ¹", + "riend ly", + "t ech", + "te ch", + "tec h", + "6 01", + "60 1", + ". gameObject", + ".game Object", + "и ÑĤÑĮ", + "иÑĤ ÑĮ", + "3 74", + "37 4", + "Ġ moon", + "Ġm oon", + "Ġmo on", + "Ġmoo n", + "f time", + "ft ime", + "Ġ noch", + "Ġn och", + "Ġno ch", + "Ġnoc h", + "ĠT ORT", + "ĠTO RT", + "ĠTOR T", + "Ġ VM", + "ĠV M", + ". initial", + ".in itial", + ".init ial", + "( child", + "(ch ild", + "Ġmus ical", + "Ġmusic al", + "Ġmusica l", + "Ġ oc", + "Ġo c", + "b as", + "ba s", + "Ġ Hay", + "ĠH ay", + "ĠHa y", + "3 61", + "36 1", + "_ long", + "_l ong", + "_lo ng", + "_lon g", + "Ġ memset", + "Ġmem set", + "i ley", + "il ey", + "ile y", + "adel phia", + "S V", + "ro at", + "_ tx", + "_t x", + "Ġ lon", + "Ġl on", + "Ġlo n", + "Ġng OnInit", + "ĠngOn Init", + "b p", + "Ġ Golden", + "ĠGold en", + "ĠGol den", + "A CHE", + "AC HE", + "ACH E", + "Ġwor ried", + "a zi", + "az i", + "E ar", + "T ake", + "Ta ke", + "Tak e", + "( fp", + "(f p", + "burg h", + "bur gh", + "_ Data", + "_D ata", + "g res", + "gr es", + "gre s", + "Ġ Ont", + "ĠO nt", + "ĠOn t", + "p us", + "pu s", + "Ġ transparent", + "Ġtrans parent", + "Ġp ocket", + "Ġpo cket", + "Ġpoc ket", + "Ġ ram", + "Ġr am", + "Ġra m", + "igration s", + "igr ations", + ". čĊčĊ", + ".čĊ čĊ", + "Ġ [(", + "Ġ[ (", + "Ġadopt ed", + "Ġreport edly", + "Ġreported ly", + "Ġ Dream", + "ĠD ream", + "ĠDr eam", + "ĠDre am", + "Ġ }));Ċ", + "Ġ} ));Ċ", + "Ġ}) );Ċ", + "Ġ})) ;Ċ", + "l osing", + "lo sing", + "los ing", + "Ġte eth", + "Ġtee th", + "Ġ Books", + "ĠB ooks", + "ĠBo oks", + "ĠBook s", + "ĠBoo ks", + "\" ,&", + "\", &", + "en ny", + "enn y", + "L EMENT", + "LE MENT", + "LEM ENT", + "Ġ gel", + "Ġg el", + "Ġge l", + "Ġ Plant", + "ĠP lant", + "ĠPl ant", + "ĠPlan t", + "ĠPla nt", + "4 37", + "43 7", + "! âĢĿ", + ". host", + ".h ost", + "Ġ Reply", + "ĠRe ply", + "ĠRep ly", + "3 76", + "37 6", + "r ength", + "re ngth", + "ren gth", + "Ġrec ognition", + "Ġrecogn ition", + "Ġ }}>Ċ", + "Ġ} }>Ċ", + "Ġ}} >Ċ", + "Ġ}}> Ċ", + "L A", + "Ġ mirror", + "Ġm irror", + "Ġmir ror", + "Ġmi rror", + "Ġ assistant", + "Ġass istant", + "Ġassist ant", + "( device", + "(d evice", + "(de vice", + "(dev ice", + "Ġspirit ual", + "b uilder", + "build er", + "bu ilder", + " §", + "Ġo utr", + "Ġout r", + "Ġou tr", + "Ġ tt", + "Ġt t", + "Ġ PER", + "ĠP ER", + "ĠPE R", + "Ġrad ical", + "Ġradi cal", + "Method s", + "Ġ pace", + "Ġp ace", + "Ġpa ce", + "Ġpac e", + "u dy", + "ud y", + "Ġg ut", + "Ġgu t", + "Ġ Greek", + "ĠG reek", + "ĠGre ek", + "ĠGree k", + "Ġ nonatomic", + "Ġnon atomic", + "Ġ Paper", + "ĠP aper", + "ĠPa per", + "ĠPap er", + "_ GPIO", + "_G PIO", + "_GP IO", + "Ġo bst", + "Ġob st", + "Ġobs t", + ". Ad", + ".A d", + "viron ments", + "vironment s", + "ĠS ov", + "ĠSo v", + "3 56", + "35 6", + "( con", + "(c on", + "(co n", + "Ġ Transaction", + "ĠTrans action", + ". assign", + ".as sign", + "ĉ catch", + "ĉc atch", + "ĉcat ch", + "el ter", + "elt er", + "Ġ bitcoin", + "Ġbit coin", + "_ GR", + "_G R", + "Ġ čĊ", + "Ġ/ >čĊ", + "Ġ/> čĊ", + "m etic", + "me tic", + "met ic", + "Ġtrans formation", + "Ġtransform ation", + "åı ·", + "Ġ rgb", + "Ġr gb", + "Ġrg b", + "istrib utions", + "istribution s", + "Ġ implicit", + "Ġimp licit", + "Ġimpl icit", + "Ġimplic it", + "/ in", + "/i n", + "d estination", + "dest ination", + "а ÑĤÑĮ", + "аÑĤ ÑĮ", + "Z ero", + "Ze ro", + "Ġ unset", + "Ġun set", + "Ġuns et", + "9 20", + "92 0", + ". where", + ".w here", + ".wh ere", + ". go", + ".g o", + "Ġ formation", + "Ġform ation", + "Ġformat ion", + "Ġforma tion", + "Ġ declaration", + "Ġde claration", + "Ġdeclar ation", + "( )čĊčĊ", + "() čĊčĊ", + "()čĊ čĊ", + "Ġ Expl", + "ĠEx pl", + "ĠExp l", + "ĉ ĉĉĠĠ", + "ĉĉ ĉĠĠ", + "ĉĉĉ ĠĠ", + "ĉĉĉĠ Ġ", + "/ pro", + "/p ro", + "/pr o", + ". JSON", + ".J SON", + "4 41", + "44 1", + "Ġ desk", + "Ġd esk", + "Ġde sk", + "Ġdes k", + ". substr", + ".sub str", + "// ----------------------------------------------------------------------------", + "//---------------------------------------------------------------- ------------", + "//------------------------------------------------ ----------------------------", + "l yn", + "ly n", + "p son", + "ps on", + "4 07", + "40 7", + "d isable", + "dis able", + "Ġ Func", + "ĠF unc", + "ĠFun c", + "ĠFu nc", + "ĉ Assert", + "Ġ MARK", + "ĠM ARK", + "ĠMA RK", + "ĠMAR K", + "Ġde feat", + "Ġdef eat", + "Ġdefe at", + "Ġ blind", + "Ġbl ind", + "Ġbli nd", + "Ġ constants", + "Ġcon stants", + "Ġconst ants", + "Ġconstant s", + "3 62", + "36 2", + ". headers", + ".head ers", + ".header s", + ".he aders", + "U ILD", + "UI LD", + "UIL D", + "Ġ expenses", + "Ġexp enses", + "Ġexpense s", + "P ixel", + "Pix el", + "Ġ hr", + "Ġh r", + "Ġ fel", + "Ġf el", + "Ġfe l", + "Ġ Eastern", + "ĠEast ern", + "ĠEaster n", + "4 24", + "42 4", + "4 90", + "49 0", + "_ del", + "_d el", + "_de l", + "3 57", + "35 7", + "ĠC ub", + "ĠCu b", + "Ġ sq", + "Ġs q", + "ĉ count", + "ĉc ount", + "Ġ Directory", + "ĠD irectory", + "ĠDirect ory", + "ĠDirector y", + "Ġex clus", + "Ġexc lus", + "Ġexcl us", + "Ġ historic", + "Ġhistor ic", + "Ġhist oric", + "Ġhisto ric", + "Ġ ------------------------------------------------", + "Ġ---------------- --------------------------------", + "Ġ-------------------------------- ----------------", + "Ġ-------------------- ----------------------------", + "Ġ composition", + "Ġcom position", + "Ġcomp osition", + "Ġcompos ition", + "Ġ dataGridView", + "Ġdata GridView", + "Ġ Burn", + "ĠB urn", + "ĠBur n", + "ĠBu rn", + "Ġ BC", + "ĠB C", + "M aster", + "Ma ster", + "Mas ter", + "Ġ spawn", + "Ġs pawn", + "Ġsp awn", + "Ġspa wn", + "Ġ bearing", + "Ġb earing", + "Ġbe aring", + "Ġbear ing", + ". SetActive", + ".Set Active", + "i lo", + "il o", + "Ġ gallery", + "Ġg allery", + "Ġgall ery", + "Ġf ounded", + "Ġfound ed", + "Ġfo unded", + "Ġ availability", + "Ġa vailability", + "Ġav ailability", + "Ġavail ability", + ". sqrt", + ".s qrt", + "Ġ pes", + "Ġp es", + "Ġpe s", + "Ġ DOM", + "ĠD OM", + "ĠDO M", + "m ate", + "ma te", + "mat e", + "O ct", + "Ġ matched", + "Ġm atched", + "Ġmatch ed", + "Ġmat ched", + "it ivity", + "Ġan xiety", + ". price", + ".p rice", + ".pr ice", + "Ġ Instant", + "ĠIn stant", + "ĠInst ant", + "ĠIns tant", + "ì Ĭ", + "Ġt ut", + "Ġtu t", + "I Collection", + "IC ollection", + ". shared", + ".sh ared", + ".share d", + ".sha red", + "_ sql", + "_s ql", + "_sq l", + "t bl", + "tb l", + "l ibrary", + "lib rary", + "_ destroy", + "_d estroy", + "_de stroy", + "_dest roy", + "er mal", + "erm al", + "Ġ Notes", + "ĠN otes", + "ĠNo tes", + "ĠNot es", + "ĠNote s", + "Ġ Ein", + "ĠE in", + "Ġsou thern", + "Ġsouth ern", + "ĠOTHER WISE", + "Ġ macro", + "Ġm acro", + "Ġma cro", + "Ġmac ro", + ". lower", + ".l ower", + ".lo wer", + ".low er", + "c ls", + "cl s", + "Content View", + ". link", + ".l ink", + ".li nk", + ".lin k", + "con stant", + "const ant", + "cons tant", + "Ġ Bes", + "ĠB es", + "ĠBe s", + "Ġsome body", + "n b", + "3 99", + "39 9", + "\" >{", + "\"> {", + "( local", + "(l ocal", + "(loc al", + "(lo cal", + ". ....", + ".. ...", + "... ..", + ".... .", + "Ġ Null", + "ĠN ull", + "ĠNu ll", + "m x", + "Ġ ç", + "Ġà §", + "Ġ pause", + "Ġp ause", + "Ġpa use", + "Ġpau se", + "- ----------", + "-- ---------", + "---- -------", + "-------- ---", + "--- --------", + "----- ------", + "---------- -", + "------ -----", + "------- ----", + "--------- --", + "_ MO", + "_M O", + "Ġ CM", + "ĠC M", + "Ġfor Key", + "Ġ DVD", + "ĠD VD", + "ĠDV D", + "Ġ closest", + "Ġclose st", + "Ġclos est", + "Ġcloses t", + "_ DEVICE", + "_DE VICE", + "_DEV ICE", + "Ġ Stephen", + "ĠSte phen", + "ĠStep hen", + "ĠSteph en", + "Ġ BBC", + "ĠB BC", + "ĠBB C", + "Ġ Travel", + "ĠT ravel", + "ĠTr avel", + "ĠTra vel", + "ĠTrav el", + "P aint", + "Pa int", + "Ġ Results", + "ĠRes ults", + "ĠResult s", + "Ġ Rule", + "ĠR ule", + "ĠRu le", + "Ġ tp", + "Ġt p", + "Ġ ratings", + "Ġr atings", + "Ġrating s", + "Ġrat ings", + "Ġra tings", + "c in", + "ci n", + "c sv", + "cs v", + "> /", + "Ġ GOP", + "ĠG OP", + "ĠGO P", + "l ad", + "la d", + "Ġ ÑĢ", + "ĠÑ Ģ", + "Ġ indexPath", + "Ġindex Path", + "m atrix", + "mat rix", + "= f", + "ar sed", + "ars ed", + "arse d", + "Ġ });", + "Ġ} );", + "Ġ}) ;", + "Ġ Cos", + "ĠC os", + "ĠCo s", + "Ġ Score", + "ĠS core", + "ĠSc ore", + "ĠSco re", + "ĠScor e", + "Ġ tak", + "Ġt ak", + "Ġta k", + "Ġ ESP", + "ĠE SP", + "ĠES P", + "Ġ INC", + "ĠI NC", + "ĠIN C", + "_ NULL", + "_N ULL", + "- flex", + "-f lex", + "-fl ex", + "\" ][", + "\"] [", + "in to", + "int o", + "e land", + "el and", + "ela nd", + "elan d", + "Author ization", + "_ FALSE", + "_F ALSE", + "Ġ gate", + "Ġg ate", + "Ġga te", + "Ġ vid", + "Ġv id", + "Ġvi d", + "is tent", + "ist ent", + "iste nt", + "isten t", + "T IME", + "TI ME", + "TIM E", + "Ġ rewrite", + "Ġre write", + "Ġrew rite", + "Ġ tie", + "Ġt ie", + "Ġti e", + "Ġ archive", + "Ġa rchive", + "Ġarch ive", + "Ġarc hive", + "5 11", + "51 1", + ". events", + ".e vents", + ".event s", + ".ev ents", + ". getParameter", + ".get Parameter", + ".getParam eter", + "Ġ Permission", + "ĠPer mission", + "ĠPerm ission", + "Ġprogram me", + "Ġprogramm e", + "Ġ é", + "j ud", + "ju d", + "Ġcame ras", + "Ġcamera s", + "Ġcam eras", + "Ġcamer as", + "3 38", + "33 8", + "3 49", + "34 9", + "( sys", + "(s ys", + "ĠSy rian", + "ĠSyria n", + "Ġimpro vements", + "Ġimprove ments", + "Ġimprovement s", + "Ġimprov ements", + "Ġ hip", + "Ġh ip", + "Ġhi p", + "Ġsu icide", + "Ġsuic ide", + "Ġsch olar", + "Ġscho lar", + "Ġ compatible", + "Ġcom patible", + "Ġcompat ible", + "0 22", + "02 2", + "rem ote", + ". down", + ".d own", + ".do wn", + "F UNCTION", + "FUNC TION", + "FUN CTION", + "Ġman aging", + "Ġmana ging", + "Ġ UIKit", + "ĠUI Kit", + ". raw", + ".r aw", + ".ra w", + "> >>>", + ">> >>", + ">>> >", + "3 71", + "37 1", + "Ġdem ands", + "Ġdemand s", + "el lite", + "ell ite", + "elli te", + "Ġ dent", + "Ġd ent", + "Ġde nt", + "Ġden t", + "Ġ Micro", + "ĠM icro", + "ĠMi cro", + "ĠMic ro", + "åı ĸ", + "' ][$", + "'] [$", + "'][ $", + "Ġ IE", + "ĠI E", + "im ension", + "imens ion", + "Ġt rem", + "Ġtr em", + "Ġtre m", + "6 30", + "63 0", + "Ġg ained", + "Ġgain ed", + "Ġga ined", + ". with", + ".w ith", + ". ok", + ".o k", + "h ou", + "ho u", + "Ġb om", + "Ġbo m", + "amp aign", + "ampa ign", + "Ġ joining", + "Ġjoin ing", + "Ġjo ining", + "f ish", + "fi sh", + "Ġadd Subview", + "8 60", + "86 0", + "Ġnor thern", + "Ġnorth ern", + ". cor", + ".c or", + ".co r", + "o ret", + "or et", + "ore t", + "D ie", + "Di e", + "i nish", + "in ish", + "ini sh", + "inis h", + "_ comp", + "_c omp", + "_com p", + "_co mp", + "Ġ attended", + "Ġatt ended", + "Ġattend ed", + "Ġ collapse", + "Ġc ollapse", + "Ġcoll apse", + "Ġcollaps e", + "Ġ SS", + "ĠS S", + "a cent", + "ace nt", + "ac ent", + "acen t", + "_ EQUAL", + "_E QUAL", + "_EQ UAL", + "Ġ Deep", + "ĠDe ep", + "ĠDee p", + "R GB", + "RG B", + "ĉ test", + "ĉt est", + "ol ves", + "olve s", + "olv es", + "u set", + "us et", + "use t", + "Un ityEngine", + "Unity Engine", + "w riter", + "write r", + "wr iter", + "Re solver", + "Res olver", + "Resolve r", + ", %", + "if ference", + "iff erence", + "iffer ence", + "iffe rence", + "_ remove", + "_re move", + "_rem ove", + "o nda", + "on da", + "ond a", + "Ġf emme", + "Ġfem me", + "3 85", + "38 5", + "de code", + "dec ode", + "Br anch", + "Ġ flush", + "Ġf lush", + "Ġfl ush", + "Ġflu sh", + "Ġinnov ative", + "T ests", + "Test s", + "Te sts", + "Tes ts", + "Ġ[' ./", + "Ġ['. /", + "Ġ covering", + "Ġcover ing", + "Ġcov ering", + ". admin", + ".ad min", + "ulti part", + "ultip art", + "( lambda", + "(l ambda", + " namespace", + "Ġ Sport", + "ĠS port", + "ĠSp ort", + "ĠSpo rt", + "ĠSpor t", + "Ġ !(", + "Ġ! (", + "a cles", + "ac les", + "acle s", + "acl es", + "Ġde pression", + "Ġdep ression", + "Ġdepr ession", + "Ġdepress ion", + "ĠK ong", + "ĠKon g", + "ĠKo ng", + "5 70", + "57 0", + "Ġ pert", + "Ġp ert", + "Ġper t", + "Ġpe rt", + "Ġ Conn", + "ĠC onn", + "ĠCon n", + "ĠCo nn", + "Ġ Otherwise", + "ĠOther wise", + "/ home", + "/h ome", + "s upported", + "sup ported", + "support ed", + "Ġ pink", + "Ġp ink", + "Ġpi nk", + "Ġpin k", + "Ġinv ited", + "Ġinvite d", + "Ġinvit ed", + "ñ os", + "ño s", + "_ enabled", + "_en abled", + "_enable d", + "Ġ -Ċ", + "Ġ- Ċ", + "F W", + "e ners", + "en ers", + "ener s", + "ene rs", + "Ġ MY", + "ĠM Y", + "Ġs uggestions", + "Ġsuggest ions", + "Ġsuggestion s", + "C anvas", + "Can vas", + "Ġ fer", + "Ġf er", + "Ġfe r", + "Ġ Marketing", + "ĠMark eting", + "ĠMarket ing", + "@ Test", + "un tu", + "unt u", + "Ġ Ven", + "ĠV en", + "ĠVe n", + "Ġ Cou", + "ĠC ou", + "ĠCo u", + "i vals", + "iv als", + "ival s", + "iva ls", + "D onald", + "Don ald", + "l imited", + "lim ited", + "limit ed", + "ĉ ĉĉĉĉĉĊ", + "ĉĉ ĉĉĉĉĊ", + "ĉĉĉĉ ĉĉĊ", + "ĉĉĉ ĉĉĉĊ", + "ĉĉĉĉĉ ĉĊ", + "ĉĉĉĉĉĉ Ċ", + "Ġanal yst", + "Ġanaly st", + "Ġanalys t", + "( entry", + "(en try", + "(ent ry", + "Ġrepresent ative", + "_ attributes", + "_at tributes", + "_attribute s", + "_attrib utes", + "Ġ fur", + "Ġf ur", + "Ġfu r", + ". hide", + ".h ide", + "r esp", + "re sp", + "res p", + "ad ores", + "ado res", + "ador es", + "r ides", + "ri des", + "ride s", + "rid es", + "Ġ Josh", + "ĠJ osh", + "ĠJo sh", + "ĠJos h", + "r obot", + "ro bot", + "rob ot", + "ĠN AT", + "ĠNA T", + "Ġs esso", + "Ġses so", + "Ġsess o", + "Ġint egrated", + "Ġinteg rated", + "Ġintegr ated", + "Ġintegrate d", + ": true", + "p arts", + "par ts", + "part s", + "pa rts", + "Ġst upid", + "Ġstu pid", + "Ġstup id", + ": event", + ":e vent", + "@end section", + "Ġ pu", + "Ġp u", + ". Table", + ".T able", + ".Tab le", + "Ġ Yii", + "ĠY ii", + "ĠYi i", + "` ;ĊĊ", + "`;Ċ Ċ", + "`; ĊĊ", + "Ġ clang", + "Ġc lang", + "Ġcl ang", + "Ġclan g", + "Ġcla ng", + "=\" \">", + "=\"\" >", + "en gan", + "eng an", + "enga n", + "_ parameters", + "_param eters", + "_parameter s", + ". internal", + ".in ternal", + ".int ernal", + ".inter nal", + "Ġ Modern", + "ĠMod ern", + "ĠMode rn", + "ĠModer n", + "Ġ metric", + "Ġm etric", + "Ġmet ric", + "Ġ semi", + "Ġs emi", + "Ġse mi", + "Ġsem i", + "={ {Ċ", + "={{ Ċ", + "7 07", + "70 7", + ". amazon", + ".a mazon", + ".am azon", + "Ġ BB", + "ĠB B", + "ain ty", + "aint y", + "ai nty", + "view port", + "3 67", + "36 7", + "Ġstart Activity", + "dis patch", + "disp atch", + "* ****", + "** ***", + "**** *", + "*** **", + "Ġf lav", + "Ġfl av", + "Ġfla v", + "iffer ent", + "iffe rent", + "3 82", + "38 2", + "[ this", + "[t his", + "Ġs take", + "Ġst ake", + "Ġsta ke", + "Ġarg ued", + "Ġargue d", + "v iously", + "vious ly", + "vi ously", + ". work", + ".w ork", + "Ġ Oak", + "ĠO ak", + "O ld", + "Ol d", + "( async", + "(a sync", + "(as ync", + "n otes", + "not es", + "no tes", + "note s", + "Ġ flip", + "Ġf lip", + "Ġfl ip", + "Ġdis ag", + "Ġ TE", + "ĠT E", + "ĉ error", + "ĉe rror", + "ĉerr or", + "< '", + "Ġ »ĊĊ", + "Ġ» ĊĊ", + "Ġ»Ċ Ċ", + "Ġ filtered", + "Ġfil tered", + "Ġfilter ed", + "Ġfilt ered", + "ĠM ach", + "ĠMac h", + "ĠMa ch", + "Ġ hung", + "Ġh ung", + "Ġhun g", + "Ġhu ng", + "_ dump", + "_d ump", + "_ samples", + "_s amples", + "_sample s", + "- dismiss", + "-dis miss", + "Ġ ray", + "Ġr ay", + "Ġra y", + "Im plemented", + "Implement ed", + "D K", + "Ġ jed", + "Ġj ed", + "Ġje d", + "0 90", + "09 0", + "Ġbreak s", + "Ġbre aks", + "Ġ fits", + "Ġf its", + "Ġfit s", + "Ġfi ts", + ". gr", + ".g r", + "Ġ Zero", + "ĠZ ero", + "ĠZe ro", + "o ro", + "or o", + "Ġequ ally", + "Ġequal ly", + "Ġeq ually", + "Ġ '[", + "Ġ' [", + "Ġconcern ing", + "< meta", + "<", + "'> <", + "Ġpro mot", + "Ġprom ot", + "Ġpromo t", + "Ġ incl", + "Ġin cl", + "Ġinc l", + "_ only", + "_on ly", + "ë¥ ¼", + "ĠAtt orney", + "- date", + "-d ate", + "-da te", + "-dat e", + "Ġ landscape", + "Ġl andscape", + "Ġland scape", + "Ġlands cape", + "Ġlandsc ape", + "Ġ fu", + "Ġf u", + "S Y", + ". prop", + ".p rop", + ".pro p", + ".pr op", + "Ġ Arr", + "ĠA rr", + "ĠAr r", + "p ag", + "pa g", + "Parallel Group", + "' :čĊ", + "': čĊ", + "Ġ logs", + "Ġl ogs", + "Ġlo gs", + "Ġlog s", + "a unch", + "un ci", + "unc i", + "n ama", + "na ma", + "nam a", + "Table Cell", + "iss ues", + "issue s", + ". {", + "e curity", + "ec urity", + "_ exec", + "_e xec", + "_ex ec", + "_exe c", + "o lds", + "ol ds", + "old s", + "Ġ hosts", + "Ġhost s", + "Ġho sts", + "Ġhos ts", + "Ġ proto", + "Ġpro to", + "Ġpr oto", + "Ġprot o", + "_ import", + "_im port", + "_imp ort", + "_ sort", + "_s ort", + "_so rt", + "Ġ Bow", + "ĠB ow", + "ĠBo w", + "Ġ Normal", + "ĠN ormal", + "ĠNor mal", + "ĠNorm al", + "Ġ Farm", + "ĠF arm", + "ĠFar m", + "ĠFa rm", + ".create ParallelGroup", + "R otation", + "Rot ation", + ". err", + ".e rr", + ".er r", + "Ġp leased", + "Ġplease d", + "Ġple ased", + "Ġplea sed", + "Ġpleas ed", + "it age", + "ita ge", + "itag e", + ". Wh", + ".W h", + "ĉ ĉĠĠĠĠ", + "ĉĉ ĠĠĠĠ", + "ĉĉĠĠĠ Ġ", + "ĉĉĠ ĠĠĠ", + "ĉĉĠĠ ĠĠ", + "M R", + "Ġ MORE", + "ĠM ORE", + "ĠMO RE", + "ĠMOR E", + "Ġ Natural", + "ĠN atural", + "ĠNat ural", + "ĠNatur al", + "_ transform", + "_trans form", + "B ASE", + "BA SE", + "en eral", + "ener al", + "ene ral", + "u tdown", + "ut down", + ". commons", + ".com mons", + ".common s", + ".comm ons", + "W T", + "Ġ aan", + "Ġa an", + "Ġaa n", + ". Result", + ".Res ult", + "d og", + "do g", + "Ġcl icking", + "Ġclick ing", + "Ġclic king", + ") ,ĊĊ", + "), ĊĊ", + "),Ċ Ċ", + "# line", + "O perator", + "Oper ator", + "Op erator", + "Opera tor", + "Ġc iv", + "Ġci v", + "Ġm erg", + "Ġme rg", + "Ġmer g", + "o buf", + "ob uf", + "ng then", + "ngth en", + "Ġ [{", + "Ġ[ {", + "Ġc ancell", + "Ġcan cell", + "Ġcancel l", + "Ġcanc ell", + "tr igger", + "tri gger", + ". :", + "W ORK", + "WO RK", + "de clare", + "decl are", + "declar e", + "Ġde crease", + "Ġdecre ase", + "ÅĽ ci", + "l oom", + "lo om", + "loo m", + ". None", + ".N one", + ".No ne", + ".Non e", + "Ġ MI", + "ĠM I", + "Ġ Jason", + "ĠJ ason", + "ĠJa son", + "ĠJas on", + "Ġhealth care", + "ia mond", + "iam ond", + "iamo nd", + "s ylvania", + "* x", + "Ġ Ra", + "ĠR a", + "[ b", + "Ġ printing", + "Ġprint ing", + "Ġprin ting", + "ph abet", + "pha bet", + "Ġ Labour", + "ĠLa bour", + "ĠLab our", + "o pper", + "op per", + "opp er", + "Ġz ijn", + "Ġzi jn", + "Ġzij n", + "- target", + "-t arget", + "_ FUNCTION", + "_F UNCTION", + "_FUNC TION", + "_FUN CTION", + "Ġ oct", + "Ġo ct", + "Ġoc t", + "е ниÑı", + "ен иÑı", + "ени Ñı", + "åľ ¨", + "Ġ western", + "Ġwest ern", + "Ġwes tern", + "Ġcomp uters", + "Ġcomput ers", + "Ġcomputer s", + "Ġcompute rs", + "Ġ RET", + "ĠR ET", + "ĠRE T", + "Hash Map", + "[ String", + "[S tring", + "get Value", + "_ DATE", + "_D ATE", + "_DAT E", + "_DA TE", + ". Next", + ".N ext", + "ĠF if", + "ĠFi f", + "é l", + "ic ked", + "ick ed", + "æ İ", + "- MM", + "-M M", + "Ġ {ĊĊĊ", + "Ġ{ ĊĊĊ", + "Ġ{Ċ ĊĊ", + "Ġ{ĊĊ Ċ", + "Ġ contacts", + "Ġcont acts", + "Ġcontact s", + "Ġconta cts", + "Ġ digits", + "Ġd igits", + "Ġdig its", + "Ġdigit s", + "P rodu", + "Pro du", + "Pr odu", + "Prod u", + "Ġun usual", + "Ġunus ual", + "Ġrapid ly", + "t ures", + "ture s", + "tu res", + "tur es", + "Ġang ry", + "c ancel", + "can cel", + "x xxx", + "xx xx", + "xxx x", + "_ parser", + "_p arser", + "_parse r", + "_par ser", + "_pars er", + "id ity", + "idi ty", + "_ PREFIX", + "_P REFIX", + "_PRE FIX", + "_PREF IX", + "7 10", + "71 0", + "Ġm ehr", + "Ġme hr", + "Ġrare ly", + "Ġrar ely", + "e the", + "et he", + "eth e", + "o pes", + "op es", + "ope s", + "Ġ %.", + "Ġ% .", + "w orks", + "work s", + "wor ks", + "Ġ theta", + "Ġth eta", + "Ġthe ta", + "Ġcon tribution", + "Ġcontrib ution", + "Ġ Tony", + "ĠT ony", + "ĠTo ny", + "ĠTon y", + "Ġs quad", + "Ġsqu ad", + "5 37", + "53 7", + "а й", + "аР¹", + "Ġî n", + "t here", + "th ere", + "ther e", + "the re", + "o uted", + "ou ted", + "out ed", + "oute d", + "ĉ q", + "Ļ Ĥ", + "g ood", + "go od", + "goo d", + "L I", + "é¡ µ", + "Ġ Living", + "ĠL iving", + "ĠLi ving", + "ĠLiv ing", + "iz abeth", + "iza beth", + "Ġ kt", + "Ġk t", + "Ġ Dallas", + "ĠD allas", + "ĠDal las", + "] ],Ċ", + "]] ,Ċ", + "]], Ċ", + "Ġ />ĊĊ", + "Ġ/ >ĊĊ", + "Ġ/>Ċ Ċ", + "Ġ/> ĊĊ", + "Ġ raising", + "Ġr aising", + "Ġrais ing", + "Ġra ising", + "/ router", + "/r outer", + "_ game", + "_g ame", + "3 68", + "36 8", + "Ġ CUR", + "ĠC UR", + "ĠCU R", + "z ens", + "ze ns", + "zen s", + ". es", + ".e s", + "Ġ fontWeight", + "Ġfont Weight", + "( func", + "(f unc", + "(fun c", + "not ification", + "notif ication", + "Ġ' ../../../", + "Ġ'../ ../../", + "Ġ'../../ ../", + "Ġbl ame", + "Ġbla me", + "ãĢĤ ĊĊĊĊ", + "ãĢĤĊĊ ĊĊ", + "ãĢĤĊ ĊĊĊ", + "an co", + "anc o", + "9 80", + "98 0", + "Id entity", + "Ident ity", + "Ide ntity", + "f ollow", + "fol low", + "Ġ arts", + "Ġa rts", + "Ġar ts", + "Ġart s", + "x s", + "Ġoffic ially", + "Ġofficial ly", + "Ġ Studio", + "ĠSt udio", + "ĠStud io", + "ĠStudi o", + "Ġrecommend ations", + "Ġrecommendation s", + "Ġ locale", + "Ġl ocale", + "Ġlo cale", + "Ġloc ale", + "Ġlocal e", + "Ġam ateur", + "Ġamat eur", + "Ġ Enable", + "ĠE nable", + "ĠEn able", + "Ġ caps", + "Ġc aps", + "Ġcap s", + "Ġca ps", + ". End", + ".E nd", + ".En d", + "3 88", + "38 8", + "- add", + "-a dd", + "-ad d", + "_g shared", + "Ġ CT", + "ĠC T", + "F orce", + "For ce", + "Ċ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "Ġ orange", + "Ġo range", + "Ġor ange", + "Ġorang e", + "Ġora nge", + "Ġoran ge", + "Ġ lp", + "Ġl p", + "Ġ answered", + "Ġanswer ed", + ". Grid", + ".G rid", + ".Gr id", + "Ġd ual", + "Ġdu al", + "Ġdua l", + "Ġstr ategic", + "Ġstrateg ic", + "Ġn obody", + "Ġno body", + "Ġnob ody", + "Ġ fatal", + "Ġf atal", + "Ġfa tal", + "Ġfat al", + "_ est", + "_e st", + "_es t", + "( el", + "(e l", + "Ġ ìł", + "Ġì ł", + "ĠB udd", + "ĠBu dd", + "ĠBud d", + "A IT", + "AI T", + "_ factor", + "_f actor", + "_fac tor", + "_fact or", + "_fa ctor", + "- one", + "-on e", + "-o ne", + "Ġ HAVE", + "ĠH AVE", + "ĠHA VE", + "\" čĊčĊ", + "\"čĊ čĊ", + "7 60", + "76 0", + "P rof", + "Pro f", + "Pr of", + "Ġ är", + "Ġä r", + "str ings", + "string s", + "Ġ dirty", + "Ġd irty", + "Ġdir ty", + "Ġdirt y", + "Ġ Face", + "ĠF ace", + "ĠFac e", + "ĠFa ce", + "Ġ Begin", + "ĠB egin", + "ĠBe gin", + "ĠBeg in", + "Ġ Bus", + "ĠB us", + "ĠBu s", + "Ġ wis", + "Ġw is", + "Ġwi s", + "åŃ Ĺ", + "Ġ speaker", + "Ġs peaker", + "Ġspe aker", + "Ġspeak er", + "Ġ carrier", + "Ġcar rier", + "Ġcarr ier", + "Ġ Om", + "ĠO m", + "Ġhad n", + "Ġha dn", + "Al low", + "All ow", + ":: __", + "::_ _", + "Ġ verb", + "Ġv erb", + "Ġver b", + "Ġve rb", + "Ġ Complete", + "ĠCom plete", + "ĠComp lete", + "ĠComple te", + "Ġ Easy", + "ĠE asy", + "ĠEa sy", + "Ġb ills", + "Ġbill s", + "Ġbil ls", + "Ġ ĠĊĊ", + "ĠĠ ĊĊ", + "ĠĠĊ Ċ", + "Vert ical", + "Ver tical", + "Ġ pron", + "Ġp ron", + "Ġpro n", + "Ġpr on", + "Ġ Define", + "ĠDe fine", + "ĠDef ine", + "Ġ lookup", + "Ġlook up", + "variable s", + "vari ables", + "Ġp andas", + "Ġpan das", + "Ġpand as", + "Ġpanda s", + "u mes", + "um es", + "ume s", + "Ġin noc", + "Ġinn oc", + "Ġ setUp", + "Ġset Up", + "ĠCh ampionship", + "ĠChampions hip", + "ĠChampion ship", + "art ist", + "arti st", + "ĠC Type", + "ĠCT ype", + "F oundation", + "Found ation", + "๠Ī", + "Ġ Setup", + "ĠSet up", + "4 28", + "42 8", + "Ġ recipes", + "Ġrec ipes", + "Ġrecipe s", + "Ġrecip es", + "Ġ UIColor", + "ĠU IColor", + "ĠUI Color", + "Ġ Fight", + "ĠF ight", + "ĠFig ht", + "ĠFi ght", + "Ġ authorized", + "Ġauthor ized", + "Ġauthorize d", + "_ click", + "_c lick", + "_cl ick", + "_cli ck", + "9 90", + "99 0", + "_ success", + "_s uccess", + "_succ ess", + "_su ccess", + "an gan", + "ang an", + "anga n", + "Ġ Mountain", + "ĠM ountain", + "ĠMount ain", + "Ġ Doctor", + "ĠDo ctor", + "ĠDoc tor", + "Ġ egg", + "Ġe gg", + "Ġeg g", + "ĠM edicine", + "ĠMed icine", + "ĠMedic ine", + "c les", + "cl es", + "cle s", + "` .Ċ", + "`. Ċ", + "[ int", + "[i nt", + "[in t", + "d ashboard", + "dash board", + "Ġ Appro", + "ĠApp ro", + "ĠAp pro", + "- dr", + "-d r", + "Ġprodu ces", + "Ġproduce s", + "Ġprod uces", + "Ġr ental", + "Ġren tal", + "Ġrent al", + "Ġ reload", + "Ġre load", + "Ġr eload", + "Ġrel oad", + "3 81", + "38 1", + "Ġ arrival", + "Ġarr ival", + "Ġarriv al", + "s pot", + "sp ot", + "spo t", + "Ġunder t", + "Ġund ert", + "Ġunde rt", + "3 78", + "37 8", + "Ġequ ipped", + "Ġequip ped", + "Ġ proved", + "Ġpro ved", + "Ġpr oved", + "Ġprov ed", + "Ġprove d", + "Ġ centers", + "Ġcent ers", + "Ġcenter s", + "Ġcen ters", + "Ġ defines", + "Ġdef ines", + "Ġdefine s", + "Ġdefin es", + "al so", + "als o", + "Ġ opacity", + "Ġop acity", + "Ġ Unfortunately", + "ĠUn fortunately", + "ĠIll inois", + "Ġ не", + "Ġн е", + "ĠT emple", + "ĠTem ple", + "ĠTemp le", + "ĠTempl e", + "Ġ Trail", + "ĠT rail", + "ĠTr ail", + "ĠTra il", + "Ġ Kelly", + "ĠK elly", + "ĠKel ly", + "Ġ measurement", + "Ġme asurement", + "Ġmeasure ment", + "Ġmeas urement", + "Ġse parated", + "Ġsepar ated", + "Ġseparate d", + "Ġseparat ed", + "- circle", + "-c ircle", + "H ey", + "He y", + "Ġ READ", + "ĠRE AD", + "ig its", + "igit s", + "igi ts", + "Ġ ib", + "Ġi b", + "Ġ MOD", + "ĠM OD", + "ĠMO D", + "at tery", + "att ery", + "atter y", + "atte ry", + "а з", + "аР·", + "Ġv end", + "Ġve nd", + "Ġven d", + "е нÑĤ", + "ен ÑĤ", + "Ġ HttpClient", + "ĠHttp Client", + "3 59", + "35 9", + "s afe", + "sa fe", + "_ ASS", + "_A SS", + "_AS S", + "i cit", + "ic it", + "ici t", + "Ġ Construct", + "ĠCon struct", + "ĠConstr uct", + "Ġ Clo", + "ĠC lo", + "ĠCl o", + "Ġ Six", + "ĠS ix", + "ĠSi x", + "_ TOKEN", + "_T OKEN", + "_TO KEN", + "( block", + "(b lock", + "(bl ock", + "Ġwar ned", + "Ġwarn ed", + "/* !", + "! Ċ", + "}/ >Ċ", + "}/> Ċ", + "Ġin novation", + "Ġinn ovation", + "Ġinnov ation", + "_ \"", + "Ġ );čĊčĊ", + "Ġ) ;čĊčĊ", + "Ġ); čĊčĊ", + "Ġ);čĊ čĊ", + "Ġ spots", + "Ġsp ots", + "Ġspot s", + "Ġspo ts", + "Ġcho osing", + ". cs", + ".c s", + "Ġf lexible", + "Ġflex ible", + "U Int", + "UI nt", + "4 35", + "43 5", + "9 30", + "93 0", + "Ġ scratch", + "Ġs cratch", + "Ġscr atch", + "- al", + "-a l", + "Ġf estival", + "Ġfest ival", + "Ġout standing", + "================ ================================", + "================================ ================", + "M ean", + "Me an", + "Ġ Oregon", + "ĠO regon", + "ĠOre gon", + "s ymbol", + "sym bol", + ". account", + ".a ccount", + ".ac count", + ".acc ount", + "d ney", + "dn ey", + "' ''", + "'' '", + "! \",", + "!\" ,", + "9 01", + "90 1", + "Ġ particle", + "Ġp article", + "Ġpart icle", + "Ġpartic le", + "Ġparti cle", + "à ĥ", + "[ MAX", + "[M AX", + "I VER", + "IV ER", + "IVE R", + "ER ENCE", + "NS Mutable", + "ĠC olumbia", + "ĠColum bia", + "_ ĊĊ", + "_Ċ Ċ", + ". fr", + ".f r", + "Ġc ogn", + "Ġco gn", + "Ġcog n", + "V R", + "Ġ Methods", + "ĠMethod s", + "ĠMeth ods", + "Ġ Made", + "ĠM ade", + "ĠMad e", + "ĠMa de", + "Ġ BR", + "ĠB R", + "Ġ Else", + "ĠE lse", + "ĠEl se", + "Ġeg gs", + "Ġegg s", + "Ġ swing", + "Ġs wing", + "Ġsw ing", + "Ġ Inv", + "ĠI nv", + "ĠIn v", + "Ġdise ases", + "Ġdisease s", + "Ġf irms", + "Ġfirm s", + "Ġfi rms", + "Ġfir ms", + "Ġ lemma", + "Ġl emma", + "Ġle mma", + "Ġlem ma", + "} `);Ċ", + "}` );Ċ", + "l ings", + "ling s", + "lin gs", + "Ġg ym", + "Ġgy m", + "umin um", + "umi num", + ". Trim", + ".T rim", + ".Tr im", + "M em", + "Me m", + "Ġcrit icism", + "Ġcritic ism", + "ibern ate", + "_ TX", + "_T X", + "i oni", + "ion i", + "io ni", + "Ġguid ance", + "Ġgui dance", + "Ġrepeated ly", + "Ġrepeat edly", + "Ġ supplier", + "Ġs upplier", + "Ġsup plier", + "Ġsuppl ier", + "Ġsupp lier", + "Ġp ainting", + "Ġpaint ing", + "Ġpain ting", + "8 64", + "86 4", + ". Fragment", + ".F ragment", + "ed Exception", + "Ġw iring", + "Ġwir ing", + "Ġwi ring", + "Ġcour ts", + "Ġcou rts", + "Ġcourt s", + "W EB", + "WE B", + "æľ ī", + "\\ .", + "ill ance", + "illa nce", + "Ġb rows", + "Ġbr ows", + "Ġbro ws", + "Ġbrow s", + "Ġ Pattern", + "ĠP attern", + "ĠPat tern", + "ĠPatt ern", + "PL ICATION", + "PLIC ATION", + "Ġ Summer", + "ĠS ummer", + "ĠSum mer", + "Ch ain", + "Cha in", + "Ġc ute", + "Ġcut e", + "Ġcu te", + "m ercial", + "mer cial", + "merc ial", + "Ġd il", + "Ġdi l", + "ĠFrank lin", + "ĉ global", + "ĉg lobal", + "IN CLUDING", + "h istory", + "hi story", + "hist ory", + "histor y", + "Ġ lst", + "Ġl st", + "Ġls t", + "Q t", + "S DL", + "SD L", + "a lia", + "al ia", + "ali a", + "i ere", + "ie re", + "ier e", + "( ...", + "(. ..", + "(.. .", + "ĉ cin", + "ĉc in", + "if fs", + "iff s", + "v elope", + "ve lope", + "vel ope", + "velop e", + "Ġ Root", + "ĠR oot", + "ĠRo ot", + "ĠRoo t", + "cl uster", + "clus ter", + "User Name", + "i gne", + "ig ne", + "ign e", + "< S", + "Ġ fest", + "Ġf est", + "Ġfe st", + "4 19", + "41 9", + "Ġindic ating", + "Ġindica ting", + "k eeper", + "ke eper", + "keep er", + "kee per", + "Ġc ada", + "Ġca da", + "Ġcad a", + "é g", + "con sin", + "cons in", + "Ġ GB", + "ĠG B", + "Ġ lb", + "Ġl b", + "e mony", + "em ony", + "emo ny", + "emon y", + "- icons", + "-icon s", + "-i cons", + "_ doc", + "_d oc", + "_do c", + "A ctor", + "Act or", + "Ac tor", + "e lem", + "el em", + "ele m", + ". Delete", + ".De lete", + "Ġin fection", + "Ġinf ection", + "Ġinfect ion", + "Ġ Privacy", + "ĠPriv acy", + "Ġgreat ly", + "Ġ Pos", + "ĠP os", + "ĠPo s", + "ĠT reat", + "ĠTr eat", + "ĠTre at", + "F low", + "Fl ow", + "Flo w", + "Ġat tractive", + "Ġattr active", + "Ġattract ive", + "Ġ Marc", + "ĠM arc", + "ĠMar c", + "ĠMa rc", + "s udo", + "su do", + "t esy", + "te sy", + "tes y", + "- an", + "-a n", + "9 98", + "99 8", + "ab ama", + "aba ma", + "Ġ Would", + "ĠW ould", + "ĠWo uld", + "Ġs uck", + "Ġsu ck", + "Ġsuc k", + "index Path", + "Ġ Et", + "ĠE t", + "T imes", + "Time s", + "Tim es", + "Ti mes", + "7 80", + "78 0", + "Ġ clubs", + "Ġcl ubs", + "Ġclub s", + "_ assoc", + "_as soc", + "_ass oc", + "Ġac quired", + "Ġacqu ired", + "Ġacquire d", + "( \":", + "(\" :", + "Ġint ense", + "Ġintens e", + ". maps", + ".m aps", + ".map s", + ".ma ps", + "Ex pected", + "Exp ected", + "Expect ed", + "T oggle", + "Ġ ay", + "Ġa y", + "Ġl ifestyle", + "Ġlife style", + "Ġlif estyle", + "- called", + "-c alled", + "-cal led", + "-call ed", + "Ġ Snow", + "ĠS now", + "ĠSn ow", + "ĠSno w", + "V olume", + "Vol ume", + "Ġcann abis", + "Ġ Direction", + "ĠD irection", + "ĠDirect ion", + "ĠDi rection", + "ĠDir ection", + "ĠDire ction", + "Ġ Limited", + "ĠL imited", + "ĠLim ited", + "ĠLimit ed", + "- specific", + "-s pecific", + "-spec ific", + "Ġd owntown", + "Ġdown town", + "Ġdownt own", + "/ icons", + "/i cons", + "/icon s", + "/ic ons", + "Ġre ven", + "Ġr even", + "Ġrev en", + "Ġreve n", + "L eg", + "Le g", + "8 85", + "88 5", + "= null", + "=n ull", + "4 96", + "49 6", + "Key board", + "' )).", + "') ).", + "')) .", + "Ġ\" \";čĊ", + "Ġ\"\" ;čĊ", + "Ġ\"\"; čĊ", + "Ġatt itude", + ". navigate", + ".n avigate", + ".nav igate", + "- error", + "-e rror", + "AM PLE", + "AMP LE", + "AMPL E", + "Ġ Jay", + "ĠJ ay", + "ĠJa y", + "v r", + "c ow", + "co w", + ". compile", + ".com pile", + ".comp ile", + "Ġmem ories", + "Ġmemor ies", + "Ġmemo ries", + "_ mark", + "_m ark", + "_mar k", + "_ma rk", + "Ġ Minnesota", + "ĠMin nesota", + "Ġk osten", + "Ġko sten", + "Ġkos ten", + "Ġkost en", + "Ġ probability", + "Ġprob ability", + "Ġprobabil ity", + "w arning", + "war ning", + "warn ing", + "Ġgen etic", + "Ġgene tic", + "F ixture", + "Fix ture", + "Ġ HashSet", + "ĠHash Set", + "N ombre", + "Nom bre", + "_ month", + "_m onth", + "_mon th", + "_mo nth", + "Æ °", + "- start", + "-st art", + "-star t", + "xy gen", + "ĉ ft", + "ĉf t", + "i agnostics", + "Ġ Matthew", + "ĠMat thew", + "ĠMatth ew", + "Ġcon cepts", + "Ġconcept s", + "Ġconce pts", + "Ġcon str", + "Ġconst r", + "Ġcons tr", + ". State", + ".St ate", + ".Stat e", + "и н", + "N ov", + "No v", + "Î ±", + "Ġ Panel", + "ĠP anel", + "ĠPan el", + "ĠPa nel", + "ĠPane l", + "ä¸ ª", + "com pare", + "comp are", + "> ()Ċ", + ">( )Ċ", + ">() Ċ", + "Ġapp lying", + "Ġapply ing", + "Ġappl ying", + "Ġprom ised", + "Ġpromise d", + "Ġ ox", + "Ġo x", + "n cia", + "nc ia", + "Ġ Validation", + "ĠValid ation", + "o rts", + "or ts", + "ort s", + "_ cur", + "_c ur", + "_cu r", + "e lect", + "el ect", + "ele ct", + "e ye", + "ey e", + "( Data", + "(D ata", + "Ġre porter", + "Ġreport er", + "Ġ Buff", + "ĠB uff", + "ĠBu ff", + "ĠBuf f", + "3 95", + "39 5", + "Ġ sr", + "Ġs r", + "Ġ \";", + "Ġ\" ;", + "i cky", + "ic ky", + "ick y", + "Ġt empor", + "Ġtem por", + "Ġtemp or", + "Ġtempo r", + "S N", + "Ġ resident", + "Ġres ident", + "Ġresid ent", + "Ġreside nt", + "p ires", + "pi res", + "pir es", + "pire s", + "ys ical", + "ysi cal", + "Ġend orse", + "Ġendors e", + "Ġ Song", + "ĠS ong", + "ĠSo ng", + "ĠSon g", + "is Empty", + "le et", + "lee t", + "_ util", + "_u til", + "_ut il", + "Ġd istingu", + "Ġdist ingu", + "Ġ Talk", + "ĠT alk", + "ĠTal k", + "ĠTa lk", + "Ġ Mot", + "ĠM ot", + "ĠMo t", + "( default", + "(d efault", + "(de fault", + "(def ault", + ". Arg", + ".A rg", + ".Ar g", + "gorith ms", + "gorithm s", + "_ words", + "_w ords", + "_word s", + "im mer", + "imm er", + "_ reset", + "_re set", + "_res et", + "f amily", + "W W", + "Ġs avings", + "Ġsav ings", + "Ġsaving s", + "Ġ âĢĿ", + "ĠâĢ Ŀ", + "_ enable", + "_e nable", + "_en able", + "s idebar", + "side bar", + "R unning", + "Run ning", + "Ġ ali", + "Ġa li", + "Ġal i", + "Ġte stim", + "Ġtest im", + "Ġtes tim", + "Ġ warnings", + "Ġw arnings", + "Ġwar nings", + "Ġwarn ings", + "Ġwarning s", + "Ġ Chem", + "ĠC hem", + "ĠCh em", + "ĠChe m", + "Ġ Exit", + "ĠE xit", + "ĠEx it", + "Ġf ounder", + "Ġfound er", + "Ġfo under", + "Ġfou nder", + "p ector", + "pe ctor", + "pect or", + "pec tor", + "Ġ rm", + "Ġr m", + "_ dataset", + "_d ataset", + "_data set", + "_dat aset", + "_datas et", + "Ġ Das", + "ĠD as", + "ĠDa s", + "Ġ han", + "Ġh an", + "Ġha n", + "G etty", + "Get ty", + "Ge tty", + "á l", + "Ġ ny", + "Ġn y", + "Ġpo verty", + "Ġpov erty", + "Ġresult ed", + ". by", + ".b y", + "Ġ Visit", + "ĠVis it", + "ĠVi sit", + "Ġobt aining", + "Ġobtain ing", + "/ '.$", + "/' .$", + "/'. $", + "Ġ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "s hall", + "sh all", + "shal l", + "sha ll", + "_ LEFT", + "_LE FT", + "UI Image", + "_ Name", + "_N ame", + "h ave", + "ha ve", + "ĠN ob", + "ĠNo b", + "l r", + "- footer", + "-f ooter", + "-foot er", + "Ġn aked", + "Ġna ked", + "Ġnak ed", + "ĠG arden", + "ĠGar den", + "ĠGard en", + "\\F acades", + "Ġ graduate", + "Ġgrad uate", + "Ġgradu ate", + "4 17", + "41 7", + "Ġfr anchise", + "Ġfranch ise", + "p lane", + "pl ane", + "plan e", + "pla ne", + "Ġcontrib utions", + "Ġcontribution s", + "Ġstring With", + "Ġ crypto", + "Ġc rypto", + "Ġcrypt o", + "Ġcry pto", + "Ġmov ements", + "Ġmove ments", + "Ġmo vements", + "Ġmovement s", + "a thers", + "ath ers", + "ather s", + "athe rs", + "Ġ lifetime", + "Ġl ifetime", + "Ġlife time", + "Ġlif etime", + "Ġcommunic ate", + "Ġcommun icate", + "j ar", + "ja r", + "Ġ Fragment", + "ĠF ragment", + "ĠFr agment", + "ĠFra gment", + "ĠFrag ment", + "_ IF", + "_I F", + "ĠN avy", + "ĠNav y", + "ĠNa vy", + "Ġ Figure", + "ĠF igure", + "ĠFig ure", + "Ġ simulation", + "Ġs imulation", + "Ġsim ulation", + "Ġsimul ation", + "_ stop", + "_s top", + "_st op", + "Ġreport ers", + "Ġreporter s", + "Ġver sus", + "Ġvers us", + "a ja", + "aj a", + "Ġ α", + "ĠÎ ±", + "Ġgover nor", + "Ġgovern or", + "Ġgoverno r", + "List Item", + "Ġ sealed", + "Ġse aled", + "Ġsea led", + "Ġseal ed", + ". Background", + ".Back ground", + "e di", + "ed i", + "ash ing", + "ashi ng", + "Ġ lip", + "Ġl ip", + "Ġli p", + "ĠI h", + "m erge", + "mer ge", + "Ġn ec", + "Ġne c", + "0 24", + "02 4", + "el ocity", + "elo city", + "AT EG", + "ATE G", + "Ġse eds", + "Ġsee ds", + "Ġseed s", + "Ġ floating", + "Ġf loating", + "Ġfloat ing", + "Ġflo ating", + "7 01", + "70 1", + "_ FA", + "_F A", + "w alk", + "wa lk", + "wal k", + "ĉ user", + "ĉu ser", + "ĉuse r", + "ĉus er", + "_ depth", + "_de pth", + "_dep th", + "_dept h", + "Ġw age", + "Ġwa ge", + "Ġwag e", + "@ app", + "@a pp", + "N il", + "Ni l", + "( [\"", + "([ \"", + "( vector", + "(v ector", + "(vec tor", + "Ġsecret ary", + "4 61", + "46 1", + "Ġj Panel", + "v ez", + "ve z", + "Âł ³³³", + "³³ ³³", + "³³³ Âł", + "d irection", + "dir ection", + "di rection", + "direct ion", + "dire ction", + "Ġ EP", + "ĠE P", + "Ġ hunt", + "Ġh unt", + "Ġhun t", + "Ġhu nt", + "3 96", + "39 6", + "Json Property", + "Ġ PORT", + "ĠP ORT", + "ĠPO RT", + "ĠPOR T", + "] \",", + "]\" ,", + "а п", + "аР¿", + "Ġ Foreign", + "ĠFore ign", + "p anic", + "pan ic", + "pa nic", + "Ġtr ials", + "Ġtri als", + "Ġtrial s", + "Ġ Ale", + "ĠA le", + "ĠAl e", + "Ġr ural", + "Ġru ral", + "- value", + "-v alue", + "-val ue", + "-valu e", + "author ized", + "authorize d", + "Ġ Scotland", + "ĠSc otland", + "ĠScot land", + ". drop", + ".d rop", + ".dr op", + "Ġ MT", + "ĠM T", + "ç ±", + "3 91", + "39 1", + "row th", + "5 15", + "51 5", + "File Path", + "Ġ recall", + "Ġre call", + "Ġrec all", + "Ġrecal l", + "if le", + "Ġ cel", + "Ġc el", + "Ġce l", + "Ġ SELECT", + "ĠSE LECT", + "ĠSEL ECT", + "k n", + "_ case", + "_c ase", + "_ca se", + "Ġ crop", + "Ġc rop", + "Ġcr op", + "Ġcro p", + "5 43", + "54 3", + "s ure", + "sur e", + "su re", + "p ot", + "po t", + "I CS", + "IC S", + "Ġ stem", + "Ġs tem", + "Ġst em", + "Ġste m", + "Ġindust ries", + "Ġindustri es", + "P ut", + "Pu t", + "Ġ aber", + "Ġa ber", + "Ġab er", + "road cast", + "I cons", + "Icon s", + ") \")Ċ", + ")\" )Ċ", + ")\") Ċ", + "æĪIJ åĬŁ", + "g ui", + "gu i", + "Ġass umed", + "Ġassum ed", + "Ġassume d", + "Ġ rx", + "Ġr x", + "E A", + "è §", + "E LL", + "EL L", + "Ġd ose", + "Ġdo se", + "Ġdos e", + "Ġ ine", + "Ġin e", + "Ġi ne", + "Ġd eeper", + "Ġde eper", + "Ġdeep er", + "Ġdee per", + "l ider", + "li der", + "lide r", + "lid er", + "Ġ ordinary", + "Ġord inary", + "Ġordin ary", + "Ġg olf", + "Ġgo lf", + "Ġgol f", + "6 05", + "60 5", + "_ IMAGE", + "_IM AGE", + "Ġ NAME", + "ĠN AME", + "ĠNA ME", + "( module", + "(m odule", + "(mod ule", + "Ġ atom", + "Ġa tom", + "Ġat om", + "Ġ belt", + "Ġb elt", + "Ġbe lt", + "Ġbel t", + "Ġoff ices", + "Ġoffic es", + "Ġoffice s", + "5 06", + "50 6", + "b eta", + "be ta", + "bet a", + "Ġphilosoph y", + "( JSON", + "(J SON", + "(JS ON", + "- field", + "-f ield", + "-fi eld", + "Ġint roduce", + "Ġintrodu ce", + "Ġintro duce", + "Ġcon venience", + "Ġconven ience", + "op tim", + "opt im", + "> \"Ċ", + ">\" Ċ", + "a thy", + "at hy", + "ath y", + "Ġ employer", + "Ġemploy er", + "q uate", + "qu ate", + "qua te", + "quat e", + "Ġ edited", + "Ġed ited", + "Ġedit ed", + "Ġedi ted", + "Arg uments", + "Argument s", + "ĠN ations", + "ĠNation s", + "ĠNat ions", + "_ _)", + "__ )", + "Ġn ose", + "Ġno se", + "Ġnos e", + "Ġ Sample", + "ĠS ample", + "ĠSam ple", + "ĠSamp le", + "' )ĊĊĊ", + "') ĊĊĊ", + "')Ċ ĊĊ", + "')ĊĊ Ċ", + "Ġ cake", + "Ġc ake", + "Ġca ke", + ". getAttribute", + ".get Attribute", + "H D", + "3 92", + "39 2", + "Mod ified", + "4 45", + "44 5", + "Ġ predicted", + "Ġpred icted", + "Ġpredict ed", + "Ġpredic ted", + "Å Ħ", + "a nie", + "an ie", + "ani e", + "S orry", + "( doc", + "(d oc", + "(do c", + "w ind", + "win d", + "wi nd", + "i eve", + "ie ve", + "iev e", + "Ġpro visions", + "Ġprov isions", + "Ġprovision s", + "A TER", + "AT ER", + "ATE R", + "O TE", + "OT E", + "M Y", + ". Autowired", + ".A utowired", + "ĠB ath", + "ĠBa th", + "ĠBat h", + "4 23", + "42 3", + ". Boolean", + ".Bool ean", + "Ġ backend", + "Ġback end", + ". Mouse", + ".M ouse", + "at eral", + "ate ral", + "ater al", + "p aper", + "pa per", + "Con st", + "Co nst", + "Cons t", + "Ġ VR", + "ĠV R", + "_ entity", + "_e ntity", + "_ent ity", + "_ CTRL", + "_C TRL", + "_CT RL", + "Ġ Protection", + "ĠPro tection", + "ĠProt ection", + "ĠProte ction", + "ĠProtect ion", + "Ġ GM", + "ĠG M", + "Ġ Study", + "ĠSt udy", + "ĠStud y", + "Ġ soup", + "Ġs oup", + "Ġso up", + "Ġsou p", + "o time", + "ot ime", + "oti me", + "' use", + "'u se", + "] \"", + "/ users", + "/user s", + "/use rs", + "/us ers", + "a ug", + "au g", + "Ġ Hong", + "ĠH ong", + "ĠHon g", + "ĠHo ng", + "_ norm", + "_n orm", + "_no rm", + "ãģ ¨", + "Ġse cre", + "Ġsec re", + "( Build", + "(B uild", + "Ġ Contract", + "ĠCon tract", + "ĠCont ract", + "ĠContr act", + "o las", + "ol as", + "ola s", + "Ġs auce", + "Ġsa uce", + "Ġsau ce", + "Ġag gressive", + "Ġaggress ive", + "Ġagg ressive", + "Ġ racial", + "Ġr acial", + "Ġrac ial", + "Ġra cial", + "char acter", + "@ @", + "Ġ compile", + "Ġcom pile", + "Ġcomp ile", + "Ġcompil e", + "Ġ Void", + "ĠV oid", + "ĠVo id", + "_ rem", + "_re m", + "_r em", + "_ memory", + "_m emory", + "_mem ory", + "3 48", + "34 8", + "k k", + "Ġ mic", + "Ġm ic", + "Ġmi c", + "S ame", + "Sam e", + "Sa me", + "U tility", + "Util ity", + "Ut ility", + "Ġ Html", + "ĠH tml", + "Ġ Xml", + "ĠX ml", + "ĠXm l", + "Re ady", + "Read y", + "Ġg all", + "Ġga ll", + "Ġgal l", + "Ġalleg edly", + "Ġalleged ly", + "ĉ ĉĉĉĠĠĠ", + "ĉĉ ĉĉĠĠĠ", + "ĉĉĉĉ ĠĠĠ", + "ĉĉĉ ĉĠĠĠ", + "ĉĉĉĉĠ ĠĠ", + "ĉĉĉĉĠĠ Ġ", + "Ġ Metal", + "ĠM etal", + "ĠMe tal", + "ĠMet al", + "ĠMeta l", + "Ġ Personal", + "ĠPerson al", + "ĠPers onal", + "ĠPersona l", + "Ġborder Radius", + "rx js", + "object s", + "obj ects", + "Ġwant ing", + "Ġwan ting", + "Ġb owl", + "Ġbo wl", + "Ġbow l", + "v endor", + "offset of", + "Ġ Rs", + "ĠR s", + "Ġ Rating", + "ĠR ating", + "ĠRa ting", + "ĠRat ing", + "Ġr ally", + "Ġrall y", + "_ NODE", + "_N ODE", + "_NO DE", + "4 18", + "41 8", + "Ġ Mix", + "ĠM ix", + "ĠMi x", + "Ġad vertis", + "Ġadvert is", + "4 85", + "48 5", + "6 67", + "66 7", + "Ġnarr ative", + "s al", + "sa l", + "Ġ mc", + "Ġm c", + "S Error", + "SE rror", + "Ġf ingers", + "Ġfin gers", + "Ġfinger s", + "Ġfing ers", + "Ġac company", + "Ġaccom pany", + "Ġaccomp any", + "Ġt ired", + "Ġti red", + "Ġtire d", + "Ġtir ed", + "Ġ stride", + "Ġst ride", + "Ġstr ide", + "Ġstri de", + "Ġ gui", + "Ġg ui", + "Ġgu i", + "e list", + "el ist", + "eli st", + "L ocale", + "Lo cale", + "Local e", + "Loc ale", + "Ġre leases", + "Ġrelease s", + "Ġrele ases", + "i king", + "ik ing", + "iki ng", + "Ġ anger", + "Ġa nger", + "Ġan ger", + "Ġang er", + "Ġange r", + ") ))ĊĊ", + ")) )ĊĊ", + ")))Ċ Ċ", + "))) ĊĊ", + "al lest", + "all est", + "alle st", + "alles t", + "Sum mary", + "( O", + "( for", + "(f or", + "Ġbasket ball", + "Ġ roads", + "Ġro ads", + "Ġroad s", + "Ġ Install", + "ĠInst all", + "Ġ Fab", + "ĠF ab", + "ĠFa b", + "it map", + "itm ap", + "4 75", + "47 5", + "Ġ ))Ċ", + "Ġ) )Ċ", + "Ġ)) Ċ", + "Ġ intersection", + "Ġinter section", + "Ġintersect ion", + "Ġinters ection", + "igh bor", + "ighb or", + "ĠB ry", + "ĠBr y", + "Ġ HERE", + "ĠH ERE", + "ĠHE RE", + "ĠHER E", + "S oftware", + "So ftware", + "Soft ware", + "el fare", + "elf are", + "a cs", + "ac s", + "6 22", + "62 2", + "Ġtr ailer", + "Ġtrail er", + "Ġtra iler", + "Ġtrai ler", + ". getClass", + ".get Class", + ".getC lass", + "ch ars", + "char s", + "cha rs", + "Ġreg ulation", + "Ġregul ation", + "Ġre fers", + "Ġref ers", + "Ġrefer s", + "Ġd estruction", + "Ġde struction", + "Ġdestruct ion", + "Ġ continuous", + "Ġcontin uous", + "Ġcontinu ous", + "Ġ Austin", + "ĠA ustin", + "ĠAust in", + "ĠAus tin", + "ĠAu stin", + "é ¢", + "a kan", + "ak an", + "aka n", + ". window", + ".w indow", + ".wind ow", + "Ġ Templates", + "ĠT emplates", + "ĠTem plates", + "ĠTemplate s", + "ĠTemp lates", + "ĠTempl ates", + "Ġabs ence", + ": n", + "Ġdis order", + "f lash", + "fl ash", + "Ġde let", + "Ġdel et", + "Ġdele t", + "bo ards", + "board s", + "Ġ Ġĉ", + "ĠĠ ĉ", + "R OP", + "RO P", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġac qu", + "Ġlaw suit", + "Ġlaws uit", + "Ġ Reviews", + "ĠRe views", + "ĠReview s", + "Ġgar age", + "Ġga rage", + "t imer", + "time r", + "ti mer", + "tim er", + "Ġ ej", + "Ġe j", + "Ġ Rectangle", + "ĠRect angle", + "Ġ flowers", + "Ġfl owers", + "Ġflow ers", + "Ġflo wers", + "Ġflower s", + "3 98", + "39 8", + "i lst", + "il st", + "ils t", + "Ġ Instance", + "ĠIn stance", + "ĠInst ance", + "S uper", + "Sup er", + "Su per", + "d et", + "de t", + "dis posing", + "disp osing", + "Ġ ES", + "ĠE S", + "Ġ IC", + "ĠI C", + "v ere", + "ver e", + "ve re", + "S k", + "_ channels", + "_ch annels", + "_channel s", + "_chan nels", + "p uted", + "put ed", + "pu ted", + "pute d", + "/ null", + "/n ull", + "n nen", + "nn en", + "4 31", + "43 1", + "Ġ Gallery", + "ĠG allery", + "ĠGall ery", + "_ global", + "_g lobal", + "_glob al", + "Auth entication", + "Ġ Rank", + "ĠR ank", + "ĠRa nk", + "ĠRan k", + "Ġ blocked", + "Ġb locked", + "Ġbl ocked", + "Ġblock ed", + "Ġbloc ked", + "Ġc alm", + "Ġcal m", + "Ġca lm", + "m arket", + "mark et", + "mar ket", + "ĉ val", + "ĉv al", + "ĉva l", + "Ġ aug", + "Ġa ug", + "Ġau g", + "p eriod", + "per iod", + "peri od", + "Ġ Constant", + "ĠCon stant", + "ĠCons tant", + "ĠConst ant", + "Ġ ?>\">Ċ", + "Ġ?> \">Ċ", + "Ġ?>\" >Ċ", + "Ġ?>\"> Ċ", + "Ġ lobby", + "Ġl obby", + "Ġlob by", + "p al", + "pa l", + "3 79", + "37 9", + "Ġ sink", + "Ġs ink", + "Ġsi nk", + "Ġsin k", + "5 08", + "50 8", + "i ah", + "ia h", + "Ð ¡", + "ur name", + "urn ame", + "Ġcon ver", + "Ġconv er", + "Ġinvest igate", + "Ġinvestig ate", + "Ch rist", + "Chris t", + "Chr ist", + "H ub", + "Hu b", + "Ġ IND", + "ĠI ND", + "ĠIN D", + "Ġ Ped", + "ĠP ed", + "ĠPe d", + "u ras", + "ur as", + "ura s", + "ĉ url", + "ĉu rl", + "Ġ Tro", + "ĠT ro", + "ĠTr o", + "Ġ preferences", + "Ġp references", + "Ġpre ferences", + "Ġprefer ences", + "Ġpreference s", + "Ġguar anteed", + "Ġguarante ed", + "Ġguarantee d", + "` ĊĊ", + "`Ċ Ċ", + "Ġport ions", + "Ġportion s", + "Ġe valu", + "Ġev alu", + "Ġeval u", + "' > < /", + "( ){ĊĊ", + "() {ĊĊ", + "(){Ċ Ċ", + "(){ ĊĊ", + "en coded", + "enc oded", + "encode d", + "enco ded", + "z illa", + "zi lla", + ". Class", + ".C lass", + ".Cl ass", + "Ġ *_", + "Ġ* _", + "_ '", + "Ġview ed", + "Ġvi ewed", + "Ġvie wed", + "Ġ Philadelphia", + "ĠPhil adelphia", + ". rows", + ".r ows", + ".row s", + ".ro ws", + "Add ed", + "Ad ded", + "Ġ Touch", + "ĠT ouch", + "ĠTo uch", + "ĠTou ch", + "8 40", + "84 0", + ". delegate", + ".de legate", + "quee ze", + "s lide", + "sl ide", + "Ġ Senior", + "ĠSen ior", + "( tag", + "(t ag", + "Ġinter views", + "Ġinterview s", + "Ġs ua", + "Ġsu a", + "a tas", + "at as", + "ata s", + "@ ĊĊ", + "@Ċ Ċ", + "d istance", + "di stance", + "dist ance", + "Ġ sein", + "Ġs ein", + "Ġse in", + "Ġsei n", + "l atest", + "la test", + "late st", + "lat est", + "lates t", + "Ġ Prince", + "ĠPr ince", + "ĠPri nce", + "Ġlux ury", + "Ġre fr", + "Ġref r", + "Ġ Kitchen", + "ĠK itchen", + "ĠKit chen", + "Ñ Ħ", + "( at", + "(a t", + "F inal", + "Fin al", + "Fi nal", + "ü ck", + "üc k", + "_ zero", + "_z ero", + "Ġ ABC", + "ĠA BC", + "ĠAB C", + "Ġ Manchester", + "ĠMan chester", + "Ġ cow", + "Ġc ow", + "Ġco w", + "C OL", + "CO L", + "_ NUMBER", + "_NUM BER", + "ch anges", + "change s", + "chan ges", + "chang es", + "g enerate", + "gen erate", + "gener ate", + "gene rate", + ". Printf", + ".Print f", + "3 69", + "36 9", + "s hare", + "sh are", + "sha re", + "St ock", + "Ġ PT", + "ĠP T", + "A nim", + "An im", + "a nga", + "an ga", + "ang a", + "Ġ ig", + "Ġi g", + "up loads", + "upload s", + "Ġ packed", + "Ġp acked", + "Ġpack ed", + "Ġpac ked", + "Ġ }];Ċ", + "Ġ} ];Ċ", + "Ġ}] ;Ċ", + "( sender", + "(s ender", + "(se nder", + "(send er", + "Ġ Wire", + "ĠW ire", + "ĠWi re", + "ĠWir e", + "i sons", + "is ons", + "ison s", + "iso ns", + "Ġplay off", + "\\ E", + "6 08", + "60 8", + "/ R", + "Ġ headed", + "Ġhe aded", + "Ġhead ed", + "Al pha", + "( order", + "(ord er", + "(or der", + "Ġop ponents", + "Ġopp onents", + "Ġoppon ents", + "Ġopponent s", + "ack son", + "acks on", + "_ member", + "_m ember", + "_mem ber", + "T urn", + "Tur n", + "Tu rn", + "ĠSov iet", + "ìĹ IJ", + "a uge", + "au ge", + "aug e", + "4 48", + "44 8", + "Ġ incoming", + "Ġin coming", + "Ġinc oming", + "Ġincom ing", + "Ġ jak", + "Ġj ak", + "Ġja k", + "- game", + "-g ame", + "Ġ Male", + "ĠM ale", + "ĠMal e", + "ĠMa le", + "Ġ Month", + "ĠM onth", + "ĠMon th", + "ĠMo nth", + "ĠMont h", + "St age", + ". exe", + ".e xe", + ".ex e", + "Own Property", + ". setItem", + ".set Item", + "Ġ dc", + "Ġd c", + "ä½ ľ", + "Ġb rut", + "Ġbr ut", + "Ġbru t", + "Ġattempt ing", + ". len", + ".l en", + ".le n", + "Ġjud gment", + "Ġs ab", + "Ġsa b", + "Ġ cad", + "Ġc ad", + "Ġca d", + "Ġ Items", + "ĠI tems", + "ĠIt ems", + "ĠItem s", + "com fort", + "el ize", + "eli ze", + "/ log", + "/l og", + "/lo g", + "Ġentre prene", + "Ġ compiler", + "Ġc ompiler", + "Ġcom piler", + "Ġcomp iler", + "Ġcompile r", + "Ġcompil er", + "_ validation", + "_valid ation", + "r eview", + "re view", + "rev iew", + "Ġ textBox", + "Ġtext Box", + "Ġ fraction", + "Ġf raction", + "Ġfr action", + "Ġfra ction", + "Ġfract ion", + "Ġfrac tion", + "Ġ Bal", + "ĠB al", + "ĠBa l", + "> ;ĊĊ", + ">;Ċ Ċ", + ">; ĊĊ", + ".AutoScale Mode", + "Ġ cats", + "Ġc ats", + "Ġca ts", + "Ġcat s", + "4 65", + "46 5", + "Ġ registry", + "Ġreg istry", + "Ġregistr y", + "Ġregist ry", + "u lus", + "ul us", + "ulu s", + "F I", + "p ayload", + "pay load", + "- search", + "-s earch", + "-se arch", + "Ġst aying", + "Ġstay ing", + "Ġsta ying", + "ac ious", + "aci ous", + "acio us", + "De coration", + "Dec oration", + "Decor ation", + "R eview", + "Re view", + "Rev iew", + "I nf", + "In f", + "Ke ep", + "it is", + "iti s", + ", String", + ",S tring", + "C oord", + "Co ord", + "Ġp ero", + "Ġper o", + "Ġpe ro", + "S ex", + "Se x", + "Ġ Atlanta", + "ĠAtl anta", + "u esta", + "ue sta", + "ues ta", + "uest a", + "A rgb", + "Arg b", + "Ar gb", + "> *", + "} _", + "F ooter", + "Foo ter", + "Foot er", + "Fo oter", + "Ġ employed", + "Ġemploy ed", + "_ bound", + "_b ound", + "_bo und", + "v ide", + "vid e", + "vi de", + ". func", + ".f unc", + ".fun c", + "$ scope", + "$s cope", + "Ġ spo", + "Ġs po", + "Ġsp o", + "Ġ Anal", + "ĠA nal", + "ĠAn al", + "ĠAna l", + "oun ced", + "ounc ed", + "ounce d", + "a round", + "ar ound", + "aro und", + "Ġ restriction", + "Ġre striction", + "Ġrestrict ion", + "Ġrestr iction", + "Ġ shops", + "Ġsh ops", + "Ġshop s", + "Ġsho ps", + "å Ģ", + "Ġ Latin", + "ĠL atin", + "ĠLa tin", + "ĠLat in", + "- col", + "-c ol", + "-co l", + "Ġbar ely", + "Ġbare ly", + "Ġ Euro", + "ĠE uro", + "ĠEu ro", + "ĠEur o", + "E r", + "Ġf aire", + "Ġfa ire", + "Ġfair e", + "_ distance", + "_d istance", + "_dist ance", + "_di stance", + "_ unlock", + "_un lock", + "Qu ote", + "IV ATE", + "IVA TE", + "Ġ åĪ", + "Ġå Ī", + "Ġa imed", + "Ġaim ed", + "Ġai med", + "Ġaime d", + "ĠRe trie", + "ĠRet rie", + ". iter", + ".i ter", + ".it er", + "Ġ wrapped", + "Ġw rapped", + "Ġwr apped", + "Ġwrap ped", + "Ġag reements", + "Ġagre ements", + "Ġagree ments", + "Ġagreement s", + "str ument", + "stru ment", + "( product", + "(pro duct", + "(prod uct", + "Ġstud ied", + "Ġstudi ed", + ". setValue", + ".set Value", + "Ġ ye", + "Ġy e", + "Ġ Cache", + "ĠC ache", + "ĠCa che", + "MB OL", + "Ġquarter back", + "Ġ syntax", + "Ġs yntax", + "Ġsy ntax", + "Ġsyn tax", + "Ġsynt ax", + ".get ElementsBy", + ".getElements By", + ". version", + ".v ersion", + "we bsite", + "web site", + "webs ite", + "R unner", + "Run ner", + "_ single", + "_s ingle", + "_si ngle", + "_sin gle", + "a tiv", + "at iv", + "ati v", + "Ġ Altern", + "ĠAl tern", + "ĠAlt ern", + "ĠAlter n", + "Ġ Beautiful", + "ĠBe autiful", + "ĠBeaut iful", + "right arrow", + "Ġd iversity", + "Ġdivers ity", + "p lash", + "pl ash", + "pla sh", + "( co", + "(c o", + ". Fill", + ".F ill", + "Ġ typing", + "Ġtyp ing", + "Ġty ping", + "3 87", + "38 7", + "0 23", + "02 3", + "Ġ clar", + "Ġc lar", + "Ġcl ar", + "Ġcla r", + "H it", + "Hi t", + "O O", + "a cco", + "ac co", + "acc o", + "5 07", + "50 7", + "w orth", + "wort h", + "wor th", + "Ġ scripts", + "Ġs cripts", + "Ġscript s", + "Ġscri pts", + "ĠMuslim s", + "Ġ LL", + "ĠL L", + "er ving", + "erv ing", + "( boolean", + "(bool ean", + "Ġbase ball", + "Ġ CAN", + "ĠC AN", + "ĠCA N", + "3 94", + "39 4", + "0 44", + "04 4", + "M AIL", + "MA IL", + "d epend", + "de pend", + "dep end", + "Ġres pective", + "Ġrespect ive", + "Ġresp ective", + "Ġ constexpr", + "Ġconst expr", + ".* ;ĊĊ", + ".*;Ċ Ċ", + "' ]))Ċ", + "'] ))Ċ", + "']) )Ċ", + "'])) Ċ", + "Ġ yard", + "Ġy ard", + "Ġya rd", + "Ġyar d", + "Ġident ical", + "if ecycle", + "ife cycle", + "U SH", + "US H", + "up iter", + ". validate", + ".valid ate", + "c li", + "cl i", + "I STER", + "IS TER", + "IST ER", + "Ind icator", + "F ail", + "Fa il", + "Ġdem ocracy", + "Ġdemocr acy", + ". var", + ".v ar", + ".va r", + "Ġs atisfied", + "Ġsatisf ied", + "- ------------", + "-- -----------", + "---- ---------", + "-------- -----", + "--- ----------", + "------------ -", + "----- --------", + "---------- ---", + "------ -------", + "----------- --", + "------- ------", + "--------- ----", + "en cer", + "ence r", + "enc er", + "h or", + "ho r", + "Ġr ounds", + "Ġro unds", + "Ġround s", + "Ġrou nds", + "D AO", + "DA O", + "o a", + "Ġfl ask", + "Ġfla sk", + "= c", + "[ ]Ċ", + "[] Ċ", + "/ dist", + "/d ist", + "/dis t", + "Ġp arte", + "Ġpart e", + "Ġpar te", + "Ġ confirmation", + "Ġconfirm ation", + "e ron", + "er on", + "ero n", + "a ware", + "aw are", + "awa re", + "< ?>", + "", + "Ġ dependencies", + "Ġdep endencies", + "Ġdepend encies", + "Ġ Videos", + "ĠV ideos", + "ĠVideo s", + "ĠVid eos", + "ĠVide os", + "- row", + "-r ow", + "-ro w", + "Ġ **/Ċ", + "Ġ* */Ċ", + "Ġ** /Ċ", + "Ġ nou", + "Ġn ou", + "Ġno u", + "Ġ hover", + "Ġh over", + "Ġho ver", + "æ ŀ", + "Ġ nin", + "Ġn in", + "Ġni n", + "Ġ USD", + "ĠU SD", + "ĠUS D", + "M ac", + "Ma c", + "_ Load", + "_L oad", + "Ġout comes", + "Ġoutcome s", + "_ socket", + "_s ocket", + "_sock et", + "_so cket", + "_soc ket", + "Ġ queries", + "Ġqu eries", + "Ġque ries", + "Ġquer ies", + "w m", + "5 92", + "59 2", + "Ġh itting", + "Ġhit ting", + "in ux", + "inu x", + "M ich", + "Mi ch", + "Mic h", + "u dge", + "ud ge", + "A TAB", + "AT AB", + "ATA B", + "Ġv ulnerable", + "Ġvulner able", + "ä ¾", + "Ġ portfolio", + "Ġport folio", + ": YES", + "ĉ map", + "ĉm ap", + "B ound", + "Bo und", + "Ġ iteration", + "Ġit eration", + "Ġiter ation", + "in cess", + "ince ss", + "inc ess", + "inces s", + "Ġ actors", + "Ġa ctors", + "Ġact ors", + "Ġac tors", + "Ġactor s", + "Ġ Qual", + "ĠQ ual", + "ĠQu al", + "_ clean", + "_c lean", + "_cl ean", + "ãĢij ãĢIJ", + "M SG", + "MS G", + "G reen", + "Gr een", + "Gre en", + "ĠOff icer", + "ĠOffice r", + "Ġsm oking", + "Ġsmo king", + "> ',", + ">' ,", + "Ġ Flo", + "ĠF lo", + "ĠFl o", + "++ ;", + "4 33", + "43 3", + "oly gon", + "Ġ bulk", + "Ġb ulk", + "Ġbu lk", + "Ġbul k", + "Ġd rama", + "Ġdr ama", + "Ġdram a", + "Ġdra ma", + "Ġ exceptions", + "Ġex ceptions", + "Ġexcept ions", + "Ġexception s", + "Ġexce ptions", + "o sed", + "os ed", + "ose d", + "Ġ+ čĊ", + "Ġ legacy", + "Ġleg acy", + "C V", + "Ġcontrib uted", + "Ġcontribute d", + "Ġ Terms", + "ĠTe rms", + "ĠTer ms", + "ĠTerm s", + "Ġ bt", + "Ġb t", + "4 34", + "43 4", + "Ġun tuk", + "Ġunt uk", + "Ġ alien", + "Ġa lien", + "Ġal ien", + "Ġali en", + "= ==Ċ", + "== =Ċ", + "=== Ċ", + "ĉ Vector", + "ĉV ector", + "ĉVec tor", + "Ġ ls", + "Ġl s", + "On line", + ". facebook", + ".f acebook", + ".face book", + "n umeric", + "num eric", + "nu meric", + "numer ic", + "ock ets", + "ocket s", + "A ut", + "Au t", + "b ury", + "bur y", + "bu ry", + "- redux", + "-re dux", + "-red ux", + "ĠRed istributions", + "ĠRedistribution s", + "GLOBAL S", + "urrenc ies", + "urr encies", + "Ġ tons", + "Ġt ons", + "Ġto ns", + "Ġton s", + "âĢĻ ,", + "Ġ ê", + "Ġà ª", + "( col", + "(c ol", + "(co l", + "Ġ Symbol", + "ĠS ymbol", + "ĠSym bol", + "Ġst ayed", + "Ġstay ed", + "Ġ ML", + "ĠM L", + "Ġm unicip", + "Ġmun icip", + "Ġ sexo", + "Ġs exo", + "Ġse xo", + "Ġsex o", + "S en", + "Se n", + "n r", + "Ġg ains", + "Ġgain s", + "Ġga ins", + "Ġshort ly", + ". Menu", + ".M enu", + ".Me nu", + "à ½", + "KN OWN", + "Ġ operators", + "Ġoper ators", + "Ġoperator s", + "Ġopera tors", + "- V", + "Ġ Patrick", + "ĠPat rick", + "ĠPatri ck", + "/ add", + "/a dd", + "/ad d", + "_ CO", + "_C O", + "i ration", + "ir ation", + "ira tion", + "( post", + "(p ost", + "(pos t", + "(po st", + "Post s", + "Pos ts", + "Po sts", + "/ _", + "Ġ plug", + "Ġp lug", + "Ġpl ug", + "Ġplu g", + "Ġintel lectual", + "Ġintellect ual", + "Ġme tab", + "Ġmet ab", + "Ġmeta b", + "Ġpregn ancy", + "ĠPrem ier", + "ĠPremi er", + "n m", + "Ġ prediction", + "Ġpred iction", + "Ġpredict ion", + "Ġpredic tion", + "6 06", + "60 6", + "ĠMin istry", + "ĠMini stry", + "ĠMinist ry", + "Th ree", + "Thr ee", + "val uate", + "valu ate", + "Ġ Mini", + "ĠM ini", + "ĠMin i", + "ĠMi ni", + "b u", + "о з", + "оР·", + "< ul", + " \";čĊ", + ">\" ;čĊ", + ">\"; čĊ", + "ĠS av", + "ĠSa v", + ". Bold", + ".B old", + "Ġen ables", + "Ġenable s", + "ĉ tmp", + "ĉt mp", + "Ġman ually", + "Ġmanual ly", + "ĠS qu", + "ĠSq u", + "use rid", + "user id", + ". function", + ".f unction", + ".func tion", + ".fun ction", + ". cache", + ".c ache", + ".ca che", + "L OPT", + "LO PT", + ". Services", + ".S ervices", + ".Service s", + "5 88", + "58 8", + "d dit", + "dd it", + "t im", + "ti m", + "< img", + " >>", + ">> >", + "st ation", + "stat ion", + "sta tion", + "l ore", + "lo re", + "lor e", + "a type", + "at ype", + "aty pe", + "i shop", + "is hop", + "ish op", + "/ ****************************************************************", + "/******************************** ********************************", + "/************************ ****************************************", + "/******************************************************** ********", + "/******** ********************************************************", + "/**************** ************************************************", + "/**************************************** ************************", + "/************************************************ ****************", + "5 21", + "52 1", + "Com boBox", + "Combo Box", + "Ġvac ation", + "Ġva cation", + "Ġinit iative", + "Ġiniti ative", + "Ġ defaultValue", + "Ġdefault Value", + "7 70", + "77 0", + "con cat", + "conc at", + "Ġ Kh", + "ĠK h", + "6 32", + "63 2", + "Ġ Welcome", + "ĠW elcome", + "ĠWel come", + "ized Name", + "M igration", + "Ġ gradient", + "Ġg radient", + "Ġgrad ient", + "H ot", + "Ho t", + "Ġhard ly", + "e lo", + "el o", + "Ġ Students", + "ĠSt udents", + "ĠStud ents", + "ĠStudent s", + "Ġl oose", + "Ġlo ose", + "Ġloos e", + "7 30", + "73 0", + "a tz", + "at z", + ". Send", + ".S end", + ".Se nd", + "' /", + "Ġ universal", + "Ġun iversal", + "Ġunivers al", + "Ġ enterprise", + "Ġenter prise", + "Ġ regex", + "Ġreg ex", + "Ġ visitor", + "Ġvis itor", + "Ġvisit or", + "Ġ Fly", + "ĠF ly", + "ĠFl y", + "S eq", + "Se q", + "ภĻ", + "Ġ Visual", + "ĠVis ual", + "Ġ libraries", + "Ġl ibraries", + "Ġlib raries", + "Ġlibr aries", + "at oes", + "ato es", + "P ayment", + "Pay ment", + "4 47", + "44 7", + "Ġ pent", + "Ġp ent", + "Ġpe nt", + "Ġpen t", + "Ġgather ed", + "VR TX", + "VRT X", + "Ġ DM", + "ĠD M", + "S plit", + "Sp lit", + "Spl it", + "Ġl etting", + "Ġlet ting", + "Ġlett ing", + "Ð Ŀ", + "_ errors", + "_error s", + "_err ors", + "_er rors", + "ep och", + "P ARAM", + "PA RAM", + "PAR AM", + "c u", + "ÑģÑĤ в", + "ol utions", + "olution s", + "olut ions", + "Ed iting", + "Edit ing", + "fo nts", + "font s", + "fon ts", + "Ġ allocated", + "Ġal located", + "Ġalloc ated", + "Ġallocate d", + "Ġ Based", + "ĠB ased", + "ĠBase d", + "ĠBa sed", + "ĠBas ed", + "( Y", + "Ġ Judge", + "ĠJ udge", + "ĠJud ge", + "ĠJu dge", + "Ġbr others", + "Ġbro thers", + "Ġbrother s", + "Ġbroth ers", + "F ILES", + "FILE S", + "FI LES", + "ç o", + "5 31", + "53 1", + "w b", + "_ PI", + "_P I", + "' ^", + "Ġ sword", + "Ġs word", + "Ġsw ord", + "Ġswo rd", + ". services", + ".s ervices", + ".service s", + ".serv ices", + "Ġ nl", + "Ġn l", + "T im", + "Ti m", + "i gg", + "ig g", + "ĠMo ore", + "ĠMoo re", + "ĠMoor e", + "Ġcrypt oc", + "Ġcrypto c", + "åĩ º", + "_ posts", + "_post s", + "_pos ts", + "_po sts", + "ot ate", + "ota te", + "? '", + ". ...ĊĊ", + ".. ..ĊĊ", + "... .ĊĊ", + ".... ĊĊ", + "....Ċ Ċ", + "Ġ kl", + "Ġk l", + "= \"$", + "=\" $", + "Ġde coration", + "Ġdec oration", + "Ġdecor ation", + "Ġdeco ration", + "Ạ¡", + "Ġ DIRECT", + "ĠD IRECT", + "ĠDI RECT", + "ĠDIR ECT", + "G UI", + "GU I", + ") =>{Ċ", + ")= >{Ċ", + ")=> {Ċ", + "Ġ newsletter", + "Ġnews letter", + "Ġpre cis", + "Ġprec is", + "( point", + "(p oint", + "(po int", + "Ġ Equipment", + "ĠE quipment", + "ĠEqu ipment", + "ĠEquip ment", + "u ty", + "ut y", + "Ġ Dave", + "ĠD ave", + "ĠDav e", + "ĠDa ve", + "Ġpart icipation", + "Ġpartic ipation", + "Ġparticip ation", + "u arios", + "ua rios", + "uario s", + "uar ios", + "x it", + "xi t", + ". As", + ".A s", + "E TER", + "ET ER", + "o rous", + "or ous", + "oro us", + "Ġ shield", + "Ġsh ield", + "[ ]>", + "[] >", + "il itary", + "ilit ary", + ". origin", + ".or igin", + ".orig in", + "Ġ promotion", + "Ġpro motion", + "Ġprom otion", + "Ġpromot ion", + "Ġpromo tion", + "U nt", + "Un t", + "Ġ ct", + "Ġc t", + "T RA", + "TR A", + "5 56", + "55 6", + "View Holder", + "Ġ sigma", + "Ġs igma", + "Ġsig ma", + "d elta", + "del ta", + "are house", + "con tract", + "cont ract", + "contr act", + "contra ct", + "( Vector", + "(V ector", + "(Vec tor", + "7 21", + "72 1", + "Ġcomp ete", + "Ġcompet e", + "/ form", + "/f orm", + "/ components", + "/com ponents", + "/component s", + "Ġ nr", + "Ġn r", + "ĠInd ones", + "ĠIndo nes", + "Ġ оÑĤ", + "Ġо ÑĤ", + "Ġ Volume", + "ĠV olume", + "ĠVol ume", + ". files", + ".f iles", + ".file s", + ".fi les", + ".fil es", + "( resp", + "(r esp", + "(res p", + "(re sp", + "/ models", + "/model s", + "/mod els", + "Ġ surf", + "Ġs urf", + "Ġsu rf", + "Ġsur f", + "st andard", + "stand ard", + "/ o", + "ĠXCT Assert", + "V ICES", + "VICE S", + "VI CES", + "VIC ES", + ". Code", + ".C ode", + ".Co de", + "S ED", + "SE D", + "Ġ activate", + "Ġact ivate", + "Ġactiv ate", + "D elta", + "Del ta", + "Ġlimit ation", + "Ġlim itation", + "r ij", + "ri j", + "Ġpregn ant", + "Ġpreg nant", + ": ^(", + ":^ (", + "Ġs our", + "Ġso ur", + "Ġsou r", + "p ie", + "pi e", + "8 03", + "80 3", + "Ġ expense", + "Ġexp ense", + "i cation", + "ic ation", + "ica tion", + "Ġ Large", + "ĠL arge", + "ĠLar ge", + "Ġ ±", + "Ġ ±", + "ĠB owl", + "ĠBo wl", + "ĠBow l", + "( models", + "(model s", + "(mod els", + "(mode ls", + "/ N", + "8 57", + "85 7", + "P a", + ". reload", + ".re load", + ".r eload", + ".rel oad", + "Ġwonder ing", + "4 62", + "46 2", + "Exec ution", + "ĉ ĠĠĠĠĠĠ", + "ĉĠĠĠ ĠĠĠ", + "ĉĠ ĠĠĠĠĠ", + "ĉĠĠ ĠĠĠĠ", + "ĉĠĠĠĠĠ Ġ", + "ĉĠĠĠĠ ĠĠ", + "Ġ Graphics", + "ĠG raphics", + "ĠGraph ics", + "ĠGraphic s", + "Ġ Contin", + "ĠCon tin", + "ĠCont in", + "_ job", + "_j ob", + "Ġ getName", + "Ġget Name", + "Ġ Magn", + "ĠM agn", + "ĠMag n", + "ĠMa gn", + "Ġ DWORD", + "ĠD WORD", + "ĠDW ORD", + "m ad", + "ma d", + "Ġ nh", + "Ġn h", + "f eatures", + "fe atures", + "feature s", + "feat ures", + "fea tures", + "} \");Ċ", + "}\" );Ċ", + "}\") ;Ċ", + "he ets", + "heet s", + "hee ts", + "( train", + "(t rain", + "(tr ain", + "z n", + "Ġrec ruit", + "Ġrecru it", + ". connection", + ".con nection", + ".connect ion", + ".conn ection", + "Ġbar rel", + "Ġbarr el", + "Ġ steam", + "Ġs team", + "Ġst eam", + "Ġste am", + "_ setting", + "_s etting", + "_set ting", + "Ġ angular", + "Ġang ular", + "ane ously", + "aneous ly", + "Ġ bil", + "Ġb il", + "Ġbi l", + "Ġ Norm", + "ĠN orm", + "ĠNo rm", + "ĠNor m", + "5 22", + "52 2", + "(! $", + "i bt", + "ib t", + "% (", + "Ġ posit", + "Ġp osit", + "Ġpos it", + "Ġpo sit", + "Ġposi t", + "Ġ Father", + "ĠF ather", + "ĠFa ther", + "ĠFat her", + "int endo", + "inte ndo", + "5 65", + "56 5", + "L ive", + "Li ve", + "Liv e", + "0 41", + "04 1", + "Ġ ports", + "Ġp orts", + "Ġport s", + "Ġpo rts", + "Ġpor ts", + "Ġm ej", + "Ġme j", + "Ġ landing", + "Ġl anding", + "Ġland ing", + "Ġlan ding", + "p onder", + "pon der", + "pond er", + "po nder", + "ponde r", + "Ġ cod", + "Ġc od", + "Ġco d", + "_ HEADER", + "_HE ADER", + "_HEAD ER", + ". Margin", + ".M argin", + ".Mar gin", + "Ġ balls", + "Ġb alls", + "Ġball s", + "Ġbal ls", + "Ġdisc ussions", + "Ġdiscuss ions", + "Ġdiscussion s", + "Ġ blend", + "Ġbl end", + "Ġble nd", + "H ex", + "He x", + "Ġfar mers", + "Ġfarm ers", + "Ġfarmer s", + "Ġmaint aining", + "Ġmaintain ing", + "Ġ ĠĠčĊ", + "ĠĠ ĠčĊ", + "ĠĠĠ čĊ", + "s yn", + "sy n", + "[ T", + "r us", + "ru s", + "4 39", + "43 9", + "uff ers", + "uf fers", + "uffer s", + "Ġ contributors", + "Ġcontrib utors", + "Ġcontributor s", + "_ sys", + "_s ys", + "_sy s", + ". Debug", + ".De bug", + "Ġ constructed", + "Ġconstruct ed", + "o mes", + "om es", + "ome s", + "? id", + "s lider", + "sl ider", + "slide r", + "Ġsup pliers", + "Ġsupplier s", + "Ġsuppl iers", + "Ġsupp liers", + "6 11", + "61 1", + "scribe r", + "scri ber", + "scr iber", + "p es", + "pe s", + "Ð ŀ", + "\" :čĊ", + "\": čĊ", + "\\ Controller", + ") )ĊĊĊ", + ")) ĊĊĊ", + "))Ċ ĊĊ", + "))ĊĊ Ċ", + "Ġ lua", + "Ġl ua", + "Ġlu a", + "M ulti", + "Mult i", + "Mul ti", + "E NS", + "EN S", + "S rc", + "Sr c", + "Ġ petition", + "Ġpet ition", + "Ġpetit ion", + "Ġ slave", + "Ġsl ave", + "Ġsla ve", + "Ġslav e", + "lo oking", + "look ing", + "loo king", + "V ERT", + "VER T", + "VE RT", + "ĉ vector", + "ĉv ector", + "ĉvec tor", + "S pecial", + "Sp ecial", + "Spec ial", + "Spe cial", + "h h", + "an ne", + "ann e", + "ĠN iger", + "ĠNi ger", + "/ views", + "/view s", + "z ing", + "zi ng", + "zin g", + "end ant", + "enda nt", + "< C", + "s peed", + "sp eed", + "spe ed", + "5 14", + "51 4", + "Ġ{ };ĊĊ", + "Ġ{} ;ĊĊ", + "Ġ{};Ċ Ċ", + "Ġ{}; ĊĊ", + "Begin Init", + "Ġf open", + "Ġfo pen", + "@ RequestMapping", + "End Init", + "Ġp unch", + "Ġpun ch", + "S ender", + "Se nder", + "Send er", + "Sen der", + "6 03", + "60 3", + "é Ķ", + "get Message", + "/ types", + "/t ypes", + "/type s", + ". PI", + ".P I", + "(' ');Ċ", + "oc used", + "ocus ed", + "ocu sed", + "( all", + "(a ll", + "(al l", + "Ġ dropdown", + "Ġd ropdown", + "Ġdrop down", + ") .__", + "). __", + ")._ _", + "Ġ Vin", + "ĠV in", + "ĠVi n", + ". ForeignKey", + ".Fore ignKey", + "6 12", + "61 2", + "ca nf", + "can f", + "o ured", + "ou red", + "our ed", + "oure d", + "Ġ Organization", + "ĠO rganization", + "ĠOrgan ization", + "Ġ а", + "ĠÐ °", + "Ġ Culture", + "ĠC ulture", + "ĠCult ure", + "ĠCul ture", + "( cls", + "(c ls", + "(cl s", + ", _", + "9 02", + "90 2", + "r gba", + "rg ba", + "rgb a", + "ìĿ ĺ", + ". dataGridView", + ".data GridView", + "Ġdo zen", + "Ġdoz en", + "ĠG es", + "ĠGe s", + "8 05", + "80 5", + "4 64", + "46 4", + "_ shared", + "_sh ared", + "_share d", + "_sha red", + "n ick", + "ni ck", + "nic k", + "Ġh osp", + "Ġho sp", + "Ġhos p", + "o meter", + "om eter", + "ome ter", + "omet er", + "4 95", + "49 5", + "Ġclaim ing", + "Ġcla iming", + "0 32", + "03 2", + "i bles", + "ib les", + "ible s", + "r ik", + "ri k", + "æĺ ¯", + "en ario", + "ena rio", + "Ġd engan", + "Ġden gan", + "o bb", + "ob b", + "m ont", + "mon t", + "mo nt", + "_ rank", + "_r ank", + "_ra nk", + "(' /',", + "('/ ',", + "Ġap olog", + "Ġapo log", + "P s", + "_ power", + "_p ower", + "_pow er", + "_po wer", + "ĠG ree", + "ĠGr ee", + "ĠGre e", + "Ġf ulfill", + "Ġful fill", + "Ġfulfil l", + "Ġ firebase", + "Ġf irebase", + "Ġfire base", + "9 10", + "91 0", + "Ġ fare", + "Ġf are", + "Ġfa re", + "Ġfar e", + "ĠH im", + "ĠHi m", + "Ġ bean", + "Ġb ean", + "Ġbe an", + "âĢ¦ .", + "Ġ SPI", + "ĠS PI", + "ĠSP I", + "_ RX", + "_R X", + "Ġper ception", + "Ġperce ption", + "Ġpercept ion", + "rel ative", + "com pile", + "comp ile", + "u um", + "uu m", + "u tos", + "ut os", + "uto s", + "a uc", + "au c", + "Ġ Ask", + "ĠA sk", + "ĠAs k", + "Ġ indicator", + "Ġind icator", + "Ġindic ator", + "Ġindica tor", + "/ th", + "/t h", + ".set String", + "ĠWis consin", + ". Domain", + ".D omain", + ".Do main", + ".Dom ain", + "Ġart ificial", + "De velop", + "Dev elop", + "Ġ Sarah", + "ĠS arah", + "ĠSar ah", + "ĠSa rah", + "ĠSara h", + "Ġ lying", + "Ġl ying", + "Ġly ing", + "( search", + "(s earch", + "(se arch", + "ĠEm pire", + "ĠEmp ire", + "ur ring", + "urr ing", + "æŶ éĹ´", + "= \"${", + "=\" ${", + "=\"$ {", + "Ġ getId", + "Ġget Id", + "Ġ Payment", + "ĠP ayment", + "ĠPay ment", + "t ransition", + "trans ition", + "Ġ ].", + "Ġ] .", + "i xin", + "ix in", + "V T", + "- select", + "-s elect", + "-se lect", + "Ġdemonstr ated", + "Ġdemonstrate d", + "Ġ lastName", + "Ġlast Name", + "em ployment", + "emp loyment", + "employ ment", + ". getProperty", + ".get Property", + ".getP roperty", + "Ġf ought", + "Ġfo ught", + "Ġfou ght", + "file Name", + "Ġ Pers", + "ĠP ers", + "ĠPer s", + "ĠPe rs", + "4 52", + "45 2", + "- card", + "-c ard", + "-car d", + "-ca rd", + "a str", + "as tr", + "ast r", + "at trs", + "att rs", + "attr s", + "Ġpro minent", + "Ġprom inent", + "Ġpromin ent", + "D esign", + "De sign", + "Des ign", + "anc ouver", + "ãģĹ ãģ", + "ar do", + "ard o", + "s ecret", + "se cret", + "sec ret", + "Ġ rag", + "Ġr ag", + "Ġra g", + "Ġpo ison", + "Ġpoi son", + "Ġpois on", + "- man", + "-m an", + ", omitempty", + "7 40", + "74 0", + "ĉ un", + "ĉu n", + "it zer", + "itz er", + "ĠCas ino", + "Ġ Ross", + "ĠR oss", + "ĠRo ss", + "ĠRos s", + "- foot", + "-f oot", + "( results", + "(result s", + "(res ults", + "P lan", + "Pl an", + "Ġl aser", + "Ġla ser", + "Ġlas er", + "ê¸ °", + "_ DR", + "_D R", + "5 23", + "52 3", + "F acebook", + "Face book", + "4 49", + "44 9", + "Ġ boards", + "Ġbo ards", + "Ġboard s", + "s ta", + "st a", + "] ],", + "]] ,", + "6 75", + "67 5", + "Ġ tiles", + "Ġt iles", + "Ġti les", + "Ġtile s", + "Ġtil es", + "S IZE", + "SI ZE", + "Ġ =~", + "Ġ= ~", + "9 70", + "97 0", + "Ġprem ier", + "Ġpremi er", + "o cab", + "oc ab", + "oca b", + "Ġ encoded", + "Ġen coded", + "Ġenc oded", + "Ġencode d", + "Ġ reserve", + "Ġre serve", + "Ġres erve", + "Ġreserv e", + "6 09", + "60 9", + "ĠAfghan istan", + "Ġ ListNode", + "ĠList Node", + "ur ls", + "url s", + "Ġ submission", + "Ġsub mission", + "Ġn eu", + "Ġne u", + "4 77", + "47 7", + "Ġ# +#", + "_ POST", + "_P OST", + "_PO ST", + "_POS T", + "Ġmo ist", + "Ġmoi st", + "Ġmois t", + "e lli", + "el li", + "ell i", + "ellig ent", + "elli gent", + ". alert", + ".al ert", + "ó d", + "b re", + "br e", + "Ġ Collect", + "ĠC ollect", + "ĠCol lect", + "ĠColl ect", + "Ġ graphic", + "Ġg raphic", + "Ġgraph ic", + "Ġgrap hic", + "Ġ longitude", + "Ġlong itude", + "Ġlongitud e", + "Ġ Provid", + "ĠPro vid", + "ĠPr ovid", + "ĠProv id", + "Ġ Calculate", + "ĠC alculate", + "ĠCal culate", + "ĠCalcul ate", + "ĠCalc ulate", + "x ffff", + "xf fff", + "xff ff", + "xfff f", + "c riteria", + "crit eria", + "Ġ waters", + "Ġw aters", + "Ġwater s", + "Ġwa ters", + "Ġwat ers", + "r ock", + "ro ck", + "roc k", + "lo quent", + "ĠT rib", + "ĠTr ib", + "ĠTri b", + "5 13", + "51 3", + "Ġ burst", + "Ġb urst", + "Ġbu rst", + "Ġbur st", + "Ġ suffix", + "Ġs uffix", + "Ġsuff ix", + "Ġsuf fix", + ". Extensions", + ".Ext ensions", + ".Extension s", + "is hes", + "ish es", + "i vel", + "iv el", + "ive l", + "Ġ LIKE", + "ĠL IKE", + "ĠLI KE", + "Ġ Getty", + "ĠG etty", + "ĠGet ty", + "ĠGe tty", + ".Action Event", + ".s lf", + ".sl f", + "Ġ HAL", + "ĠH AL", + "ĠHA L", + "u pal", + "up al", + "upa l", + "E AR", + "EA R", + "5 24", + "52 4", + "u di", + "ud i", + "_ timeout", + "_time out", + "U F", + "Ġ Singapore", + "ĠSing apore", + "ĠSingap ore", + "ĠAd vent", + "ĠAdv ent", + "_ interval", + "_int erval", + "_inter val", + "c haft", + "ch aft", + "cha ft", + "Ġ Emer", + "ĠE mer", + "ĠEm er", + "Ġ telephone", + "Ġtele phone", + "ĠTur k", + "ĠTu rk", + "_ interface", + "_inter face", + "Ġ Own", + "ĠO wn", + "ĠOw n", + "Ġencour aged", + "Ġencourage d", + "< Object", + "(", + "<> (", + "5 44", + "54 4", + ". Product", + ".Pro duct", + ".Produ ct", + "Form s", + "For ms", + "Fo rms", + "N EW", + "NE W", + "P ay", + "Pa y", + "ĉ boolean", + "ĉbool ean", + "_ contact", + "_cont act", + "Ġ Electric", + "ĠE lectric", + "ĠElect ric", + "s kip", + "sk ip", + "ski p", + "Ġw ur", + "Ġch ronic", + "Ġchron ic", + "Ġchr onic", + "_ driver", + "_d river", + "_dr iver", + "_drive r", + "9 40", + "94 0", + "Ġ Sab", + "ĠS ab", + "ĠSa b", + "Ġ Ult", + "ĠU lt", + "ĠUl t", + "Ġ Rad", + "ĠR ad", + "ĠRa d", + "ST ATUS", + "STAT US", + "Ġ Lewis", + "ĠL ewis", + "ĠLe wis", + "ĠLew is", + "O B", + "Ġgift s", + "Ġgi fts", + "Ġgif ts", + ". Rec", + ".R ec", + ".Re c", + "TR UE", + "Ġint ensity", + "Ġintens ity", + "M arker", + "Mark er", + "Mar ker", + ". compare", + ".com pare", + ".comp are", + "f fic", + "ff ic", + "ffi c", + "C ookie", + "Co okie", + "Cook ie", + "Ġ Baby", + "ĠB aby", + "ĠBa by", + "ĠBab y", + "Ġ BigDecimal", + "ĠB igDecimal", + "ĠBig Decimal", + "i let", + "il et", + "ile t", + "ĠHOLD ERS", + "ĠHOLDER S", + "Ġ Lady", + "ĠL ady", + "ĠLa dy", + "ĠLad y", + "Ġ lung", + "Ġl ung", + "Ġlu ng", + "Ġlun g", + "Ġ Alabama", + "ĠAl abama", + "Ġ dess", + "Ġd ess", + "Ġde ss", + "Ġdes s", + "` );Ċ", + "`) ;Ċ", + "Ġ Builder", + "ĠB uilder", + "ĠBuild er", + "ĠBu ilder", + "_ region", + "_reg ion", + "Ġ neutral", + "Ġne utral", + "Ġneut ral", + "Ġneutr al", + "9 09", + "90 9", + "B oth", + "Bo th", + "Bot h", + "Ġ hp", + "Ġh p", + "Ġ horn", + "Ġh orn", + "Ġhor n", + "Ġho rn", + "Ġ segments", + "Ġse gments", + "Ġseg ments", + "Ġsegment s", + "Ġ EC", + "ĠE C", + "\" =>\"", + "\"=> \"", + "( rec", + "(r ec", + "(re c", + "Ġ Pi", + "ĠP i", + "G M", + "Ġl aptop", + "Ġlap top", + "S calar", + "Sc alar", + "Scala r", + "4 63", + "46 3", + "i sd", + "is d", + "- dialog", + "-d ialog", + "-di alog", + "Ġ Anderson", + "ĠAnd erson", + "ĠAnders on", + "Ġmis takes", + "Ġmist akes", + "Ġmi stakes", + "Ġmistake s", + "7 08", + "70 8", + "Ġ Han", + "ĠH an", + "ĠHa n", + "j es", + "je s", + "est ination", + "esti nation", + "4 36", + "43 6", + "Ġprom ises", + "Ġpromise s", + "b id", + "bi d", + "Ġ Scient", + "ĠS cient", + "ĠSc ient", + "ĠSci ent", + "G IN", + "GI N", + "Ġ Performance", + "ĠPer formance", + "ĠPerform ance", + "b age", + "ba ge", + "bag e", + ". users", + ".user s", + ".use rs", + ".us ers", + "le ading", + "lead ing", + "lea ding", + "Ġ oral", + "Ġo ral", + "Ġor al", + "Ġora l", + "G raphics", + "Graph ics", + "Graphic s", + "4 88", + "48 8", + "_ PTR", + "_P TR", + "_PT R", + "5 18", + "51 8", + "h ang", + "ha ng", + "han g", + "Ġin ev", + "Ġi nev", + "Ġine v", + "p rocessing", + "process ing", + "F actor", + "Fact or", + "Fac tor", + "Fa ctor", + "Ġ NA", + "ĠN A", + "$ string", + "$s tring", + "$str ing", + "Ġ grounds", + "Ġgr ounds", + "Ġground s", + "Ġgro unds", + "Ġgrou nds", + ".Save Changes", + "c lock", + "cl ock", + "clo ck", + "9 41", + "94 1", + "cri pcion", + "Ġ Newton", + "ĠNew ton", + "g c", + ". includes", + ".in cludes", + ".include s", + "Ġ blast", + "Ġb last", + "Ġbl ast", + "Ġblas t", + "Ġbla st", + "Ġ' -'", + "Ġ'- '", + "Ġp uede", + "Ġpued e", + "Ġpu ede", + "4 69", + "46 9", + ". Session", + ".S ession", + "Ġ grep", + "Ġg rep", + "Ġgr ep", + "Ġgre p", + "_ final", + "_f inal", + "_fin al", + "Ġ Gay", + "ĠG ay", + "ĠGa y", + "Ġ Give", + "ĠG ive", + "ĠGi ve", + "i ri", + "ir i", + "- star", + "-s tar", + "-st ar", + "Ġ UIImage", + "ĠUI Image", + "_ epoch", + "_ep och", + "u bb", + "ub b", + "e nth", + "en th", + "ent h", + "Ġ elite", + "Ġe lite", + "Ġel ite", + "Ġelit e", + "Ġcampaign s", + "Ġ Porno", + "ĠP orno", + "ĠPorn o", + "ĠPor no", + "_ assign", + "_as sign", + "_ass ign", + "Prot ocol", + "Proto col", + "Ġ Being", + "ĠB eing", + "ĠBe ing", + "ĠBei ng", + "Ġ Airport", + "ĠAir port", + "Ġcon ventional", + "Ġconvent ional", + "Ġconvention al", + "Ġ Wat", + "ĠW at", + "ĠWa t", + "Ġ CI", + "ĠC I", + "E TA", + "ET A", + "Ġ Anthony", + "ĠAnth ony", + "Ġ tablet", + "Ġtable t", + "Ġtab let", + "( format", + "(form at", + "(for mat", + "Ġconsist ently", + "Ġconsistent ly", + "ĠI owa", + "ĠIo wa", + "4 74", + "47 4", + "Ġ avatar", + "Ġav atar", + "Ġava tar", + "0 27", + "02 7", + ". cursor", + ".c ursor", + "! [", + "Ġh anging", + "Ġhang ing", + "Ġhan ging", + "Ġhangi ng", + "H er", + "He r", + "S uch", + "Su ch", + "Suc h", + "' ;ĊĊĊ", + "';Ċ ĊĊ", + "';ĊĊ Ċ", + "'; ĊĊĊ", + "org eous", + "orge ous", + "( )==", + "() ==", + "Ġ viewModel", + "Ġview Model", + "Ġ ãĥ", + "Ġ els", + "Ġe ls", + "Ġel s", + "Ġ Agent", + "ĠA gent", + "ĠAg ent", + "ĠAge nt", + "F etch", + "a por", + "ap or", + "apo r", + "Ġ cx", + "Ġc x", + "p read", + "pr ead", + "pre ad", + "ĠP ier", + "ĠPi er", + "ĠPie r", + "o eff", + "oe ff", + "6 16", + "61 6", + "S n", + "8 90", + "89 0", + "Ġ Virtual", + "ĠV irtual", + "ĠVir tual", + "ĠVirt ual", + "A pr", + "Ap r", + ". White", + ".Wh ite", + "6 15", + "61 5", + "_ MOD", + "_M OD", + "_MO D", + "Ġ Points", + "ĠP oints", + "ĠPoint s", + "ĠPo ints", + "å¤ ±", + "Ġ genes", + "Ġg enes", + "Ġge nes", + "Ġgen es", + "Ġgene s", + "Ġ vendor", + "Ġv endor", + "Ġvend or", + "Ġmain stream", + "< src", + "Ċ", + "Ġ< >Ċ", + "Ġ<> Ċ", + "F ilename", + "File name", + "Fi lename", + "Fil ename", + "Ġs ne", + "Ġsn e", + "Ġ Football", + "ĠF ootball", + "ĠFoot ball", + "Ġr ival", + "Ġri val", + "Ġriv al", + "Ġdis aster", + "i onic", + "ion ic", + "io nic", + "ioni c", + "Ġ Damage", + "ĠD amage", + "ĠDa mage", + "ĠDam age", + ". Resource", + ".Re source", + ".Res ource", + "- en", + "-e n", + "Ġ Types", + "ĠT ypes", + "ĠType s", + "ĠTy pes", + "ĠTyp es", + "get String", + "( board", + "(b oard", + "Ġ bol", + "Ġb ol", + "Ġbo l", + "p lain", + "pl ain", + "pla in", + "z ym", + "zy m", + "ภ²", + "Ġ scanner", + "Ġsc anner", + "Ġscan ner", + "i lder", + "il der", + "ild er", + "ilde r", + "_ msgs", + "_msg s", + "_ms gs", + "æ ı", + "( intent", + "(int ent", + "(in tent", + "Ġ destruct", + "Ġd estruct", + "Ġde struct", + "Ġb ust", + "Ġbu st", + "Ġbus t", + "Ġ Employ", + "ĠE mploy", + "ĠEm ploy", + "ĠEmp loy", + "o ni", + "on i", + "Ġ UIViewController", + "ĠUI ViewController", + "ĠUIView Controller", + "Ġo dds", + "Ġodd s", + "Ġod ds", + "e arer", + "ear er", + "ea rer", + "Ge ometry", + "Geo metry", + "Geom etry", + "Ġ yii", + "Ġy ii", + "Ġyi i", + "_ EXPORT", + "_EX PORT", + "_EXP ORT", + "Ġ Attack", + "ĠAtt ack", + "Ġn iet", + "Ġnie t", + "Ġni et", + "Ġim pression", + "Ġimp ression", + "Ġimpress ion", + "Ġimpr ession", + "Ġ Gil", + "ĠG il", + "ĠGi l", + "_ prob", + "_p rob", + "_pro b", + "_pr ob", + "5 28", + "52 8", + "Ġ CF", + "ĠC F", + "Ġ Experience", + "ĠEx perience", + "/ plugins", + "/pl ugins", + "/plugin s", + ". Method", + ".M ethod", + "Ġbel iefs", + "Ġbelie fs", + "Ġbelief s", + "N ative", + "Nat ive", + "_ build", + "_b uild", + "Ġ vig", + "Ġv ig", + "Ġvi g", + "Ġr anks", + "Ġrank s", + "Ġran ks", + "cover ed", + "cov ered", + "7 05", + "70 5", + "s uch", + "su ch", + "G uard", + "Gu ard", + ". pack", + ".p ack", + ".pa ck", + "ad der", + "add er", + "8 09", + "80 9", + "i via", + "iv ia", + "ivi a", + "l ng", + "ln g", + "Ġ вÑĭ", + "Ġв Ñĭ", + "5 52", + "55 2", + "T imestamp", + "Time stamp", + "_ now", + "_n ow", + "_no w", + "Ġp oker", + "Ġpo ker", + "Ġpok er", + "Ġpoke r", + "Ġ unc", + "Ġu nc", + "Ġun c", + "Ġ shapes", + "Ġsh apes", + "Ġshape s", + "Ġsha pes", + "- types", + "-t ypes", + "-type s", + "_ period", + "_p eriod", + "_per iod", + "p k", + "Ġveter an", + "Ġ sono", + "Ġs ono", + "Ġso no", + "Ġson o", + "Ġ appointed", + "Ġapp ointed", + "Ġappoint ed", + "over flow", + ". driver", + ".d river", + ".dr iver", + ".drive r", + "_ cat", + "_c at", + "_ca t", + "u tt", + "ut t", + "p lant", + "pl ant", + "plan t", + "pla nt", + "i mb", + "im b", + "Ġ Accept", + "ĠAc cept", + "ĠAcc ept", + "Ġ concert", + "Ġcon cert", + "Ġconc ert", + "Ġconce rt", + "ĉ node", + "ĉn ode", + "ĉno de", + "ĉ z", + "? >čĊ", + "?> čĊ", + "Ġb anned", + "Ġban ned", + "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġt oxic", + "Ġto xic", + "Ġtox ic", + "Ġdis appe", + "Ġdisap pe", + "4 73", + "47 3", + "È Ľ", + "Ġg race", + "Ġgr ace", + "Ġgra ce", + "Ġgrac e", + "at eful", + "ate ful", + "Re ply", + "Rep ly", + "ĠC ruz", + "ĠCr uz", + "ĠCru z", + "4 86", + "48 6", + "Ġs crap", + "Ġsc rap", + "Ġscr ap", + "Ġ keywords", + "Ġkey words", + "Ġkeyword s", + "s imp", + "si mp", + "sim p", + "Ġmort gage", + "Ġcy ber", + "Ġ Execute", + "ĠEx ecute", + "ĠExec ute", + "Ġ latitude", + "Ġl atitude", + "Ġlat itude", + "i fu", + "if u", + ". COM", + ".C OM", + ".CO M", + "d bo", + "db o", + "Ġs orts", + "Ġso rts", + "Ġsort s", + "Ġsor ts", + "Ġ Gas", + "ĠG as", + "ĠGa s", + "om ial", + "omi al", + ". Local", + ".L ocal", + ".Lo cal", + "C ells", + "Cell s", + "Cel ls", + ". Replace", + ".Re place", + "String s", + "Str ings", + ". fit", + ".f it", + ".fi t", + "Ġ Third", + "ĠTh ird", + "ĠThi rd", + "% \",Ċ", + "%\" ,Ċ", + "%\", Ċ", + "Ġ {}\".", + "Ġ{ }\".", + "Ġ{} \".", + "Ġ Sony", + "ĠS ony", + "ĠSo ny", + "ĠSon y", + "Ġ [:", + "Ġ[ :", + "5 85", + "58 5", + "Ġf allen", + "Ġfa llen", + "Ġfall en", + "Ġfal len", + ". ')Ċ", + ".' )Ċ", + ".') Ċ", + "i nh", + "in h", + "Ġ MC", + "ĠM C", + "Ġ redis", + "Ġre dis", + "Ġr edis", + "Ġred is", + "C odes", + "Code s", + "Co des", + "Cod es", + "Ġ profiles", + "Ġpro files", + "Ġprof iles", + "Ġprofile s", + "Ġprofil es", + "h ook", + "ho ok", + "hoo k", + "Re ducer", + "Red ucer", + "Reduc er", + "Reduce r", + "_ FUNC", + "_F UNC", + "_FUN C", + "Ġ navigate", + "Ġn avigate", + "Ġnav igate", + "Ġnavig ate", + "st rlen", + "str len", + "Ġh orm", + "Ġhor m", + "Ġho rm", + "á ŀ", + "Ġ SR", + "ĠS R", + ". boot", + ".b oot", + ".bo ot", + "Ġ digest", + "Ġd igest", + "Ġdi gest", + "Ġdig est", + "ĉ header", + "ĉhead er", + ". findOne", + ".find One", + "æ ģ", + "Db Type", + "n ia", + "ni a", + "_ merge", + "_m erge", + "Ġd onne", + "Ġdon ne", + "Ġdonn e", + "/ Getty", + "/G etty", + "_ CHAR", + "_CH AR", + "Ġ bands", + "Ġb ands", + "Ġband s", + "Ġban ds", + "Ġba nds", + ". URL", + ".U RL", + ".UR L", + "art ial", + "arti al", + "Ġ freq", + "Ġf req", + "Ġfr eq", + "Ġfre q", + "Ġs ist", + "Ġsi st", + "Ġsis t", + "N g", + "Ġrender ing", + "Ġrend ering", + "\\ Core", + "\\C ore", + "Widget s", + "Ġ VA", + "ĠV A", + "Ġactiv ists", + "Ġactivist s", + "S te", + "St e", + "= _", + "a lla", + "al la", + "all a", + "St amp", + "Ġ loads", + "Ġlo ads", + "Ġload s", + "Ġloa ds", + "Ġ xx", + "Ġx x", + "Ġ Learning", + "ĠL earning", + "ĠLe arning", + "ĠLearn ing", + "ĠLear ning", + ". Mvc", + ".M vc", + "u ir", + "ui r", + "( \"$", + "(\" $", + "Ġ connecting", + "Ġconnect ing", + "Read Only", + "u ru", + "ur u", + "ĠE ag", + "ĠEa g", + "B IT", + "BI T", + "_ DEL", + "_D EL", + "_DE L", + "å §", + "arr ass", + "arra ss", + "ex ternal", + "ext ernal", + "extern al", + "exter nal", + "Ġ YOUR", + "ĠY OUR", + "ĠYOU R", + "ĠB rew", + "ĠBr ew", + "ĠBre w", + "Ġ Five", + "ĠF ive", + "ĠFi ve", + "Ġ resize", + "Ġre size", + "Ġres ize", + "i gid", + "ig id", + "igi d", + "e ration", + "er ation", + "era tion", + "6 53", + "65 3", + "Ġ Ñį", + "ĠÑ į", + "5 36", + "53 6", + "åĬ ł", + "0 39", + "03 9", + "Ġ Catch", + "ĠC atch", + "ĠCat ch", + "Ù ģ", + "Ġ Leon", + "ĠL eon", + "ĠLe on", + "ĠLeo n", + "a mil", + "am il", + "ami l", + ". Body", + ".B ody", + "C lip", + "Cl ip", + "Cli p", + "/ list", + "/l ist", + "/li st", + ". br", + ".b r", + "Edit Text", + "ĉ db", + "ĉd b", + ". Game", + ".G ame", + "( BuildContext", + "(Build Context", + "back end", + ". Red", + ".R ed", + ".Re d", + "f acebook", + "face book", + "5 29", + "52 9", + ". urls", + ".url s", + ".ur ls", + "m r", + "rol led", + "roll ed", + "- ------", + "-- -----", + "---- ---", + "--- ----", + "----- --", + "------ -", + "Ġint ervention", + "Ġinter vention", + "Ġinterven tion", + "Ġinterv ention", + "Ġret irement", + "Ġretire ment", + "Ġretir ement", + "Ġ Kit", + "ĠK it", + "ĠKi t", + "Ġ PRE", + "ĠP RE", + "ĠPR E", + "Upper Case", + "Ġ Socket", + "ĠS ocket", + "ĠSo cket", + "ĠSoc ket", + "Ġ :-", + "Ġ: -", + "Ġstud ying", + "Ġstudy ing", + "Ġ Metro", + "ĠM etro", + "ĠMe tro", + "ĠMet ro", + "ar ded", + "ard ed", + "arde d", + "Ġcon versations", + "Ġconvers ations", + "Ġconversation s", + "C alled", + "Call ed", + "Cal led", + "Ġex amine", + "Ġexam ine", + "ert ificate", + ". gz", + ".g z", + "- responsive", + "-res ponsive", + "Ġ refund", + "Ġre fund", + "Ġref und", + "_ network", + "_n etwork", + "_net work", + "0 26", + "02 6", + "all owed", + "allow ed", + "allo wed", + "em pt", + "emp t", + "Ġme als", + "Ġmeal s", + "C ategories", + "Ġtravel ing", + "Ġtrav eling", + "Ġ kg", + "Ġk g", + "Ġsh ame", + "Ġsha me", + "Ġsham e", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġexplicit ly", + "Ġmath ematic", + "Ġ Suite", + "ĠS uite", + "ĠSu ite", + "ĠSuit e", + "Ġ RGB", + "ĠR GB", + "ĠRG B", + "****** /", + "***** */", + "Ġm ixture", + "Ġmix ture", + "l earning", + "le arning", + "lear ning", + "learn ing", + ". template", + ".t emplate", + ".temp late", + ".tem plate", + "at ts", + "att s", + "w x", + "ĉ ctx", + "ĉc tx", + "ĉct x", + ". properties", + ".p roperties", + ".prop erties", + "Ġdr inks", + "Ġdrink s", + "Ġ Either", + "ĠE ither", + "set Text", + ". getData", + ".get Data", + ".getD ata", + ". zip", + ".z ip", + "Ġreve als", + "Ġreveal s", + "< table", + ".Ċ", + "/> .Ċ", + "/>. Ċ", + "Ġr anked", + "Ġrank ed", + "Ġran ked", + "_ impl", + "_i mpl", + "_im pl", + "_imp l", + "Ġ Handles", + "ĠH andles", + "ĠHand les", + "ĠHandle s", + "Ġhost ed", + "Ġho sted", + "Ġhos ted", + "Ġ updating", + "Ġup dating", + "Ġupd ating", + "al bum", + "é Ŀ", + "Ġ shader", + "Ġsh ader", + "Ġsha der", + "Ġshade r", + "Ed itors", + "Edit ors", + "Editor s", + "- round", + "-r ound", + "-ro und", + "[ ]{", + "[] {", + "Ġ sep", + "Ġs ep", + "Ġse p", + "Ġ Hi", + "ĠH i", + "T EM", + "TE M", + "look up", + "loo kup", + ". man", + ".m an", + ".ma n", + "_ INPUT", + "_IN PUT", + "Ġthreat ened", + "Ġthreaten ed", + "_ IMPORT", + "_IM PORT", + "_IMP ORT", + "Ġ drops", + "Ġd rops", + "Ġdr ops", + "Ġdrop s", + "Ġdro ps", + "r uit", + "ru it", + "s id", + "si d", + "b oth", + "bo th", + "bot h", + "Ġ Excel", + "ĠEx cel", + "ĠExc el", + "Ġ jer", + "Ġj er", + "Ġje r", + "ord inary", + "ordin ary", + "е й", + "еР¹", + "V IEW", + "VI EW", + "re ply", + "rep ly", + "Ġ ):Ċ", + "Ġ) :Ċ", + "Ġ): Ċ", + "col ors", + "color s", + "colo rs", + "ver ified", + "_ Tr", + "_T r", + "_ parse", + "_p arse", + "_par se", + "_pars e", + "Ġcon gress", + "Ġcongr ess", + "Ġcong ress", + "6 17", + "61 7", + "P romise", + "Pro mise", + "Prom ise", + "i nts", + "in ts", + "int s", + "Ġ Mother", + "ĠM other", + "ĠMo ther", + "ĠMot her", + ". Api", + ".A pi", + ".Ap i", + "Ġ Duration", + "ĠD uration", + "ĠDu ration", + "ĠDur ation", + "Ġ firstName", + "Ġfirst Name", + "inherit doc", + "ĠM ars", + "ĠMar s", + "ĠMa rs", + "Ġ apr", + "Ġa pr", + "Ġap r", + "O DY", + "OD Y", + "Ġvis its", + "Ġvisit s", + "6 31", + "63 1", + "Ġhe aling", + "Ġheal ing", + "let ters", + "letter s", + "lette rs", + "lett ers", + ") ));čĊ", + ")) );čĊ", + "))) ;čĊ", + "))); čĊ", + "f uture", + "fu ture", + ". Framework", + ".F ramework", + ".Frame work", + "Ġk iss", + "Ġki ss", + "Ġinv olve", + "Ġinvol ve", + "Ġ silent", + "Ġs ilent", + "Ġsil ent", + "ad ows", + "ado ws", + "adow s", + "Ġany body", + "s ch", + "sc h", + "6 90", + "69 0", + "Ġsol ely", + "Ġsole ly", + "- img", + "-i mg", + "-im g", + "Ġ propri", + "Ġp ropri", + "Ġpro pri", + "Ġprop ri", + "Ġin struct", + "Ġinstr uct", + "Ġ licenses", + "Ġlicense s", + "Ġlic enses", + "Ġlicens es", + "Ġ meth", + "Ġm eth", + "Ġme th", + "Ġmet h", + "Ġcon dem", + "Ġcond em", + "Ġ Domain", + "ĠD omain", + "ĠDo main", + "ĠDom ain", + "ĠH arris", + "ĠHar ris", + "ĠHarr is", + "Ġs Ã¥", + "CE PT", + "B atch", + "Bat ch", + "@ extends", + "ĠCONTR IBUT", + ". DataFrame", + ".Data Frame", + "4 72", + "47 2", + "_ packet", + "_p acket", + "_pack et", + "_pa cket", + "re cision", + "rec ision", + "Ġf ocusing", + "Ġfocus ing", + "Ġfoc using", + ". ht", + ".h t", + "__ \":Ċ", + ": Get", + "Ġ KC", + "ĠK C", + "Ġp assage", + "Ġpass age", + "Ġpas sage", + "S egment", + "Se gment", + "Seg ment", + "_ center", + "_c enter", + "_cent er", + "-z A", + "_ BL", + "_B L", + "Ġcon vin", + "Ġconv in", + "Ġ classified", + "Ġclass ified", + "Ġ NSMutable", + "ĠNS Mutable", + "_ ap", + "_a p", + "t ile", + "til e", + "ti le", + "Rect angle", + "4 92", + "49 2", + "( nums", + "(n ums", + "(num s", + "v ens", + "ve ns", + "ven s", + "Ġ UIButton", + "ĠUI Button", + "ĠUIB utton", + "ĠF eder", + "ĠFe der", + "ĠFed er", + "a mo", + "am o", + "Ġ outline", + "Ġout line", + "Ġ Parser", + "ĠP arser", + "ĠPar ser", + "ĠParse r", + "ĠPars er", + "Ġ âī", + "Ġâ ī", + "Ġ Works", + "ĠW orks", + "ĠWork s", + "ĠWor ks", + ". Schema", + ".S chema", + "Ġeng ines", + "Ġengine s", + "6 37", + "63 7", + "5 63", + "56 3", + "_ common", + "_com mon", + "_comm on", + "5 42", + "54 2", + "_ old", + "_o ld", + "Ġset ContentView", + "ĠsetContent View", + "Ġ ///<", + "Ġ// /<", + "Ġ/// <", + "Ġ BT", + "ĠB T", + "f m", + "Ġd ivers", + "Ġdi vers", + "Ġdiv ers", + "Ġdive rs", + "Ġdiver s", + "_ weights", + "_weight s", + "_we ights", + "e mark", + "em ark", + "ema rk", + "Ġ ACT", + "ĠA CT", + "ĠAC T", + "Ġpro portion", + "Ġprop ortion", + "Ġproport ion", + "Ġpropor tion", + "over lay", + ". dirname", + ".dir name", + "Ġ Git", + "ĠG it", + "ĠGi t", + "_ REFERENCE", + "_REF ERENCE", + "_REFER ENCE", + "< >", + "l b", + "_ rule", + "_r ule", + "_ru le", + "è´ ¥", + "Ġ Putin", + "ĠP utin", + "ĠPut in", + "ĠPu tin", + "Ġsleep ing", + "Ġsle eping", + "Ġslee ping", + "( ):čĊ", + "() :čĊ", + "(): čĊ", + "Ġ preserve", + "Ġp reserve", + "Ġpre serve", + "Ġpres erve", + "Ġpar liament", + "Ġ Looking", + "ĠLo oking", + "ĠLook ing", + "Ġp icking", + "Ġpick ing", + "Ġpic king", + "Ġ Dispatch", + "ĠDis patch", + "ĠDisp atch", + "Ġs lip", + "Ġsl ip", + "ë ĵ", + "ĠL yn", + "ĠLy n", + "_ signal", + "_s ignal", + "_sign al", + "_sig nal", + "config uration", + "ĠP itt", + "ĠPi tt", + "ĠPit t", + "4 91", + "49 1", + "a den", + "ad en", + "ade n", + "pro cedure", + "Ġenthus i", + "Ġenth usi", + "f ight", + "fig ht", + "fi ght", + "Ġ Consider", + "ĠCons ider", + "Ġt orn", + "Ġto rn", + "Ġtor n", + "Conn ected", + "Connect ed", + ". cos", + ".c os", + ".co s", + "_ groups", + "_g roups", + "_group s", + "Ġ Think", + "ĠTh ink", + "ĠThi nk", + "ĠThin k", + "Ġdel iber", + "Ġre sid", + "Ġres id", + "work ing", + "wor king", + ". columns", + ".column s", + "Ġ Called", + "ĠC alled", + "ĠCal led", + "ĠCall ed", + "Ġ eslint", + "Ġes lint", + "Ġesl int", + "> \",", + ">\" ,", + "_ DOWN", + "_D OWN", + "_DO WN", + "h ist", + "hi st", + "his t", + "Ġ Advanced", + "ĠAd vanced", + "ĠAdv anced", + "ĠAdvance d", + "Ġre wards", + "Ġreward s", + "Ġrew ards", + "a ctors", + "act ors", + "ac tors", + "actor s", + "Ġsil ence", + "4 79", + "47 9", + "Ġm yth", + "Ġmy th", + "Ġn eur", + "Ġne ur", + "Ġneu r", + "5 19", + "51 9", + "Ġ auction", + "Ġa uction", + "Ġau ction", + "Ġauc tion", + ". GetString", + ".Get String", + "e ks", + "ek s", + "( project", + "(pro ject", + "(proj ect", + "5 98", + "59 8", + "ĉ msg", + "ĉm sg", + "ĉms g", + "ĉ output", + "ĉout put", + "Ġcomplaint s", + "Ġcomplain ts", + "5 51", + "55 1", + ", S", + "Ġ tbl", + "Ġt bl", + "Ġtb l", + "Ġ ,ĊĊ", + "Ġ, ĊĊ", + "Ġ,Ċ Ċ", + "r iors", + "ri ors", + "rior s", + "rio rs", + "ah ren", + "ahr en", + "Ġlaw yers", + "Ġlawy ers", + "Ġlawyer s", + "re dux", + "red ux", + "_ symbol", + "_s ymbol", + "_sym bol", + "o ffee", + "of fee", + "off ee", + "_ RESULT", + "_RES ULT", + "( Name", + "(N ame", + "U TC", + "UT C", + ". currentTime", + ".current Time", + "Ġorgan is", + ". arg", + ".a rg", + ".ar g", + "5 33", + "53 3", + "Ġmin im", + "Ġmi nim", + "Ġmini m", + "w ick", + "wi ck", + "Ġrece ives", + "Ġreceive s", + "B alance", + "Bal ance", + "Ġspe aks", + "Ġspeak s", + "Ġ Days", + "ĠD ays", + "ĠDay s", + "ĠDa ys", + "Ġ Below", + "ĠB elow", + "ĠBe low", + "ĠBel ow", + "4 83", + "48 3", + "t ipo", + "ti po", + "tip o", + "P resent", + "Pre sent", + "Pres ent", + "Ġre serv", + "Ġres erv", + "h p", + "Ġ rit", + "Ġr it", + "Ġri t", + "_ RIGHT", + "_R IGHT", + "- -)", + "-- )", + "Ġchair man", + "7 81", + "78 1", + "D IS", + "DI S", + "Ġ BOOST", + "ĠBO OST", + "Ġex periments", + "Ġexper iments", + "Ġexperi ments", + "Ġexperiment s", + "6 87", + "68 7", + "_ _);Ċ", + "__ );Ċ", + "__) ;Ċ", + "__); Ċ", + "Ġ stamp", + "Ġst amp", + "Ġsta mp", + "Ġf ert", + "Ġfe rt", + "Ġfer t", + "Ġf ond", + "Ġfo nd", + "Ġfon d", + "T er", + "Te r", + "el ve", + "u ren", + "ur en", + "ure n", + "+ i", + "end ency", + "ende ncy", + "enden cy", + "Ġvirtual ly", + "Ġvirt ually", + ". ..\"", + ".. .\"", + "... \"", + "ï½ ŀ", + "9 25", + "92 5", + "- cent", + "-c ent", + "-ce nt", + "_ unique", + "_un ique", + "Ġ pricing", + "Ġp ricing", + "Ġpr icing", + "Ġpri cing", + "m ic", + "mi c", + "R ESH", + "RE SH", + "RES H", + "Ġ :::", + "Ġ: ::", + "Ġ:: :", + "Ġ annotation", + "Ġan notation", + "Ġann otation", + "Ġannot ation", + "Ġ Circle", + "ĠC ircle", + "ĠCirc le", + "ĠCir cle", + "ong odb", + "ongo db", + "i tas", + "it as", + "ita s", + "Ġ %(", + "Ġ% (", + "( component", + "(com ponent", + "(comp onent", + "Ġ об", + "Ġо б", + "( port", + "(p ort", + "(po rt", + "- hour", + "-h our", + ". obj", + ".o bj", + ".ob j", + "L BL", + "LB L", + "Ġ jury", + "Ġj ury", + "Ġju ry", + "Ġjur y", + "G BT", + "GB T", + "Ġ spy", + "Ġs py", + "Ġsp y", + "Ġ Professional", + "ĠProf essional", + "ĠProfession al", + "Ġ\" \";ĊĊ", + "Ġ\"\" ;ĊĊ", + "Ġ\"\";Ċ Ċ", + "Ġ\"\"; ĊĊ", + "Ġstr iking", + "Ġstri king", + "Ġd iscrimination", + "Ġdiscrim ination", + "Ġdiscrimin ation", + "Ġp ays", + "Ġpay s", + "Ġpa ys", + "9 37", + "93 7", + "l ict", + "lic t", + "li ct", + "en tes", + "ent es", + "ente s", + "Ġth rowing", + "Ġthrow ing", + "Ġthr owing", + "Ġthro wing", + "Ġ Plugin", + "ĠPl ugin", + "ĠPlug in", + "( def", + "(d ef", + "(de f", + "Ġ RuntimeException", + "ĠRuntime Exception", + "Ġ Migration", + "ĠM igration", + "ĠMig ration", + "5 99", + "59 9", + "Ġ dic", + "Ġd ic", + "Ġdi c", + "b ag", + "ba g", + "o nia", + "on ia", + "oni a", + "Ġcor ruption", + "Ġcorrupt ion", + "7 04", + "70 4", + "( Map", + "(M ap", + "Ġp rz", + "Ġpr z", + ". dto", + ".d to", + ".dt o", + "Ġac quire", + "Ġacqu ire", + "State ToProps", + "Ġl oving", + "Ġlo ving", + "Ġlov ing", + "о ж", + "оР¶", + "_ pattern", + "_p attern", + "_pat tern", + "Ġem otions", + "Ġemot ions", + "Ġemotion s", + "Ġ publisher", + "Ġp ublisher", + "Ġpublish er", + "Ġpubli sher", + "_ be", + "_b e", + "Ġc ouples", + "Ġco uples", + "Ġcou ples", + "Ġcouple s", + "Ġcoup les", + "4 98", + "49 8", + "o j", + "Ġ Chart", + "ĠC hart", + "ĠCh art", + "ĠChar t", + "ĠCha rt", + "Ġt rop", + "Ġtr op", + "Ġtro p", + ". tool", + ".t ool", + ".to ol", + "Ġestablish ment", + "Ġ dol", + "Ġd ol", + "Ġdo l", + "6 54", + "65 4", + "Ġ tower", + "Ġt ower", + "Ġto wer", + "Ġtow er", + "Ġ lane", + "Ġl ane", + "Ġla ne", + "Ġlan e", + "ĠSy dney", + "Ġf illing", + "Ġfil ling", + "Ġfill ing", + "claim ed", + "cla imed", + "6 44", + "64 4", + "Ġdialog ue", + "Ġdia logue", + "Ġdial ogue", + "Ġcon vention", + "Ġconv ention", + "Ġconven tion", + "Ġconvent ion", + "bo oking", + "book ing", + "boo king", + "par ency", + "pare ncy", + "paren cy", + "æ ±", + "Ġ Generic", + "ĠG eneric", + "ĠGener ic", + "ĠGen eric", + "ĠGene ric", + "7 18", + "71 8", + "\\ Schema", + "\\S chema", + "4 82", + "48 2", + "6 18", + "61 8", + "Ġ ranges", + "Ġr anges", + "Ġrange s", + "Ġran ges", + "Ġrang es", + "/ ch", + "/c h", + "Ġ panels", + "Ġpanel s", + "Ġpa nels", + "Ġpan els", + "Ġpane ls", + "Ġr uled", + "Ġrule d", + "Ġru led", + "çĶ Ł", + ". ts", + ".t s", + "_ sets", + "_s ets", + "_set s", + "_se ts", + "Ġ cleanup", + "Ġc leanup", + "Ġclean up", + "Pre vious", + "Prev ious", + "Ġ Animal", + "ĠAn imal", + "ĠAnim al", + "6 07", + "60 7", + "( $(", + "($ (", + "ĠA ve", + "ĠAv e", + "ol lar", + "oll ar", + "olla r", + "0 28", + "02 8", + "_ eval", + "_e val", + "_ev al", + "ĉ Name", + "ĉN ame", + "( tree", + "(t ree", + "(tr ee", + "Ġ \"]", + "Ġ\" ]", + "5 71", + "57 1", + "Ġdu ties", + "Ġdut ies", + "= '/", + "=' /", + "Click ed", + "Cl icked", + "Ġdiffer ently", + "Ġdifferent ly", + "Ġ Clark", + "ĠCl ark", + "ĠClar k", + "ĠCla rk", + "Ġ dit", + "Ġd it", + "Ġdi t", + "olog ists", + "ologist s", + "ologi sts", + "Ġsy nd", + "Ġsyn d", + "Ġs ends", + "Ġse nds", + "Ġsend s", + "Ġsen ds", + "- known", + "-k nown", + "-know n", + "k b", + "Ġ Modal", + "ĠM odal", + "ĠMod al", + "ĠMo dal", + "it ative", + "itat ive", + "Ġr acing", + "Ġrac ing", + "Ġra cing", + "Ġhigh lights", + "Ġhighlight s", + "Ġ Simon", + "ĠS imon", + "ĠSim on", + "ĠSi mon", + "Ġ Captain", + "ĠCap tain", + "ĠCapt ain", + "ä¿ ¡", + "Ġ CB", + "ĠC B", + "con tin", + "cont in", + "conti n", + "a ran", + "ar an", + "ara n", + "Ġ physics", + "Ġph ysics", + "Ġphys ics", + "Ġphysic s", + "r etty", + "re tty", + "ret ty", + "rett y", + "e tal", + "et al", + "eta l", + ". md", + ".m d", + "ax ios", + "Ġspe akers", + "Ġspeak ers", + "Ġspeaker s", + "Ġ prep", + "Ġp rep", + "Ġpr ep", + "Ġpre p", + "Ġaw arded", + "Ġaward ed", + "ì§ Ģ", + "Ġ Corn", + "ĠC orn", + "ĠCo rn", + "ĠCor n", + "Ġ Nature", + "ĠN ature", + "ĠNa ture", + "ĠNat ure", + "ĠNatur e", + "UD IO", + "7 37", + "73 7", + "Ġ proj", + "Ġp roj", + "Ġpro j", + "Ġpr oj", + "- pre", + "-p re", + "-pr e", + "[ u", + "F eatures", + "Fe atures", + "Feature s", + "Feat ures", + "Ġ isEqual", + "Ġis Equal", + "B inary", + "Bin ary", + "s ig", + "si g", + "Ġcon fusion", + "Ġconf usion", + "5 46", + "54 6", + "5 68", + "56 8", + "Ġ Hat", + "ĠH at", + "ĠHa t", + "Ġkt ó", + ". configure", + ".con figure", + ".config ure", + ".conf igure", + "M ON", + "MO N", + "4 94", + "49 4", + "/ edit", + "/e dit", + "_ Add", + "_A dd", + "_Ad d", + ", true", + ",tr ue", + "5 41", + "54 1", + "Ġ cli", + "Ġc li", + "Ġcl i", + "Error Message", + "- loader", + "-l oader", + "-lo ader", + "-load er", + "Dim ensions", + "Dimension s", + "ulti ply", + "ultip ly", + "Ġ {!!", + "Ġ{ !!", + "Ġ{! !", + "Ġ SqlCommand", + "ĠSql Command", + "Ġ spoken", + "Ġsp oken", + "Ġspoke n", + "Ġspo ken", + "Ġ pics", + "Ġp ics", + "Ġpi cs", + "Ġpic s", + "Ġ toy", + "Ġt oy", + "Ġto y", + "( Key", + "(K ey", + "Ġ Loop", + "ĠL oop", + "ĠLo op", + "Ø ¨", + "E ATURE", + "EA TURE", + "in ction", + "inc tion", + "inct ion", + "_ setup", + "_set up", + "w rapper", + "wrap per", + "wr apper", + "Ġt ong", + "Ġto ng", + "Ġton g", + "c ular", + "cul ar", + "cu lar", + "O pt", + "Op t", + ". Pl", + ".P l", + "= \",", + "=\" ,", + "( length", + "(l ength", + "(len gth", + "(le ngth", + "u mn", + "um n", + "Ġ chrom", + "Ġch rom", + "Ġchr om", + "Ġs event", + "Ġse vent", + "Ġseven t", + "Ġsev ent", + "Ġ IllegalArgumentException", + "ĠIl legalArgumentException", + "ĠIllegal ArgumentException", + "4 78", + "47 8", + "ĉ start", + "ĉst art", + "Ġbe gun", + "Ġbeg un", + "CE PTION", + "CEPT ION", + "d ataset", + "data set", + "dat aset", + "datas et", + "8 25", + "82 5", + "Ġ Failed", + "ĠF ailed", + "ĠFa iled", + "ĠFail ed", + "c ols", + "co ls", + "col s", + "4 59", + "45 9", + "Ġk nee", + "Ġkn ee", + "Ġkne e", + "i more", + "im ore", + "imo re", + ". splice", + ".sp lice", + "s hell", + "sh ell", + "she ll", + "ig gers", + "igger s", + "igg ers", + "Ġ themes", + "Ġth emes", + "Ġthe mes", + "Ġthem es", + "Ġtheme s", + "9 95", + "99 5", + "Ġ DJ", + "ĠD J", + "Ġ Assistant", + "ĠAss istant", + "ĠAssist ant", + "- $", + "M aybe", + "May be", + "Ġ ordering", + "Ġorder ing", + "Ġord ering", + "ĠInt elligence", + "ĠIntelli gence", + "ĠMass achusetts", + "Ġf ailing", + "Ġfa iling", + "Ġfail ing", + "el son", + "els on", + "G reat", + "Gr eat", + "Gre at", + "= i", + ". rest", + ".re st", + ".r est", + ".res t", + "Ġ invite", + "Ġinv ite", + "Ġinvit e", + "- disable", + "-d isable", + "-dis able", + ". GroupBox", + ".Group Box", + "âĢĻ est", + "âĢĻe st", + "âĢĻes t", + "Ġt ackle", + "Ġtack le", + "Ġtac kle", + "g v", + "et ter", + "ette r", + "ett er", + "Ġ ),čĊ", + "Ġ) ,čĊ", + "Ġ), čĊ", + "_ rules", + "_r ules", + "_rule s", + "_ru les", + ". warn", + ".w arn", + "function s", + "fun ctions", + "ĠChrist ians", + "ĠChristian s", + "Ġb acked", + "Ġback ed", + "Ġbac ked", + "Ġ slider", + "Ġs lider", + "Ġsl ider", + "Ġslide r", + "Ġslid er", + "Ġenjoy ing", + "Ġenjo ying", + "n est", + "ne st", + "nes t", + "Ġh ij", + "Ġhi j", + "_ ms", + "_m s", + "/ /*", + "// *", + "An notations", + "Annotation s", + "Ġ Variables", + "ĠVariable s", + "ĠVari ables", + "< V", + "( server", + "(s erver", + "(serv er", + "Ġ Oracle", + "ĠOr acle", + "e lements", + "el ements", + "element s", + "ele ments", + "elem ents", + "Ġ organisation", + "Ġorgan isation", + "Ġorganis ation", + "_ pointer", + "_point er", + "_po inter", + "Ġ Headers", + "ĠHe aders", + "ĠHead ers", + "ĠHeader s", + "[ d", + "Ġ deadline", + "Ġdead line", + "i ssa", + "is sa", + "iss a", + "Ġ knife", + "Ġkn ife", + "Ġ NASA", + "ĠN ASA", + "ĠNAS A", + "ĠNA SA", + "Ġ Height", + "ĠH eight", + "ĠHe ight", + "7 84", + "78 4", + "Ġ Async", + "ĠA sync", + "ĠAs ync", + "Ġ venue", + "Ġven ue", + ". dom", + ".d om", + ".do m", + "bour ne", + "bou rne", + "ĠH awai", + "ĠHaw ai", + "Ġ memo", + "Ġm emo", + "Ġme mo", + "Ġmem o", + "i ctions", + "ict ions", + "iction s", + "Ġsur veillance", + "Ġsurve illance", + "o mi", + "om i", + "/ assets", + "/as sets", + "5 87", + "58 7", + "Ġ edu", + "Ġe du", + "Ġed u", + "Ä Ľ", + "Ġr oster", + "Ġro ster", + "Ġros ter", + "Ġrost er", + "Ġh ired", + "Ġhi red", + "Ġhire d", + "Ġ Tok", + "ĠT ok", + "ĠTo k", + "Ġ placement", + "Ġpl acement", + "Ġplace ment", + "Ġplac ement", + "ur ations", + "uration s", + "urat ions", + "Ġ setState", + "Ġset State", + "ĠMag azine", + "Ġhor ror", + "Ġho rror", + "Ġhorr or", + "T ry", + "Tr y", + "Ġ lag", + "Ġl ag", + "Ġla g", + "Ġ Everyone", + "ĠEvery one", + "t hur", + "th ur", + ") );čĊčĊ", + ")) ;čĊčĊ", + "));čĊ čĊ", + ")); čĊčĊ", + ". return", + ".re turn", + ".r eturn", + ".ret urn", + "Ġsy mp", + "Ġsym p", + "âĸĪ âĸĪ", + "Ġn ights", + "Ġnight s", + "work er", + "wor ker", + "Ġ ale", + "Ġa le", + "Ġal e", + "ennes see", + ". step", + ".s tep", + ".st ep", + "Ġs ynchronized", + "Ġsynchron ized", + "Ġsynchronize d", + "4 87", + "48 7", + "o uri", + "ou ri", + "our i", + "D oes", + "Do es", + ". change", + ".ch ange", + "f on", + "fo n", + ". setBackground", + ".set Background", + "ir cular", + "irc ular", + "4 76", + "47 6", + "+ -", + "ĠC IA", + "ĠCI A", + "7 29", + "72 9", + "Ġ Jane", + "ĠJ ane", + "ĠJan e", + "ĠJa ne", + "Ġ Similar", + "ĠS imilar", + "ĠSim ilar", + "- I", + "level and", + "lev eland", + "Ġpro spect", + "Ġpros pect", + "_ found", + "_f ound", + "ĉ color", + "ĉc olor", + "ĉcol or", + ".D iagnostics", + ".Di agnostics", + "Ġ announce", + "Ġann ounce", + "Ġannounc e", + "Ġanno unce", + "Ġass umes", + "Ġassum es", + "Ġassume s", + "/ tr", + "/t r", + "Ġ bd", + "Ġb d", + "9 87", + "98 7", + "Ġ Carbon", + "ĠC arbon", + "ĠCar bon", + "ĠCarb on", + "Ġanal ys", + "Ġanaly s", + "Ġana lys", + "5 64", + "56 4", + ". dest", + ".d est", + ".de st", + ".des t", + "n ik", + "ni k", + "Ġ Lie", + "ĠL ie", + "ĠLi e", + "- index", + "-in dex", + "-ind ex", + "Draw able", + "Ġ TAG", + "ĠT AG", + "ĠTA G", + "Ġ triangle", + "Ġt riangle", + "Ġtr iangle", + "Ġtri angle", + "Ġtriang le", + "_ FLOAT", + "_F LOAT", + "ĉ ĉĠĠĠĠĠ", + "ĉĉ ĠĠĠĠĠ", + "ĉĉĠĠĠ ĠĠ", + "ĉĉĠ ĠĠĠĠ", + "ĉĉĠĠ ĠĠĠ", + "ĉĉĠĠĠĠ Ġ", + ". black", + ".b lack", + ".bl ack", + "v ue", + "vu e", + "c uracy", + "cur acy", + "cura cy", + "Ġa ffects", + "Ġaff ects", + "Ġaffect s", + "9 06", + "90 6", + "Ġsur ely", + "Ġsure ly", + "S lider", + "Sl ider", + "Slide r", + "u ki", + "uk i", + "c ery", + "ce ry", + "cer y", + "Ġ unter", + "Ġun ter", + "Ġunt er", + ". profile", + ".pro file", + ".pr ofile", + ".prof ile", + "or don", + "ord on", + "ordo n", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "le ave", + "lea ve", + "Ġsmart phone", + "g ie", + "gi e", + "Ġcon spir", + "Ġcons pir", + "Ġ tutorial", + "Ġt utorial", + "Ġtut orial", + "Ġtutor ial", + "Ġtuto rial", + "ç± »", + "Ġ cab", + "Ġc ab", + "Ġca b", + "7 65", + "76 5", + "Ġ Summary", + "ĠSum mary", + "* ĊĊ", + "*Ċ Ċ", + "ä h", + "\" This", + "\"T his", + "Ġ slides", + "Ġsl ides", + "Ġslide s", + "Ġslid es", + "\" ", + "() >", + "c ycle", + "cy cle", + "cycl e", + "ĠB ull", + "ĠBul l", + "ĠBu ll", + "p aths", + "path s", + "pat hs", + "pa ths", + "Ġu np", + "Ġun p", + "Ġview DidLoad", + "_ Model", + "_M odel", + "_Mode l", + "_Mod el", + "Ġ assertTrue", + "Ġassert True", + "Ġ rated", + "Ġr ated", + "Ġrate d", + "Ġrat ed", + "Ġra ted", + "De cl", + "Dec l", + "ver ted", + "vert ed", + "verte d", + "Ġ Dat", + "ĠD at", + "ĠDa t", + "b rew", + "br ew", + "bre w", + "Ġpoint ing", + "M s", + "Ġ Pointer", + "ĠPoint er", + "ĠPo inter", + ") '", + "_ non", + "_n on", + "_no n", + "5 27", + "52 7", + "Ġ SEC", + "ĠS EC", + "ĠSE C", + "Ġ yeah", + "Ġy eah", + "Ġye ah", + "g ency", + "ge ncy", + "gen cy", + "initial ize", + "f ly", + "fl y", + "7 11", + "71 1", + "[ pos", + "[p os", + ", g", + "T ele", + "Te le", + "Tel e", + "0 34", + "03 4", + "Ġj oke", + "Ġjo ke", + "Ġ clause", + "Ġcl ause", + "Ġcla use", + ". findById", + ".find ById", + ".findBy Id", + "e nes", + "en es", + "ene s", + "( instance", + "(in stance", + "(inst ance", + "6 26", + "62 6", + " £", + "9 15", + "91 5", + "Ġs lic", + "Ġsl ic", + "_ home", + "_h ome", + "_hom e", + "Ġ */}Ċ", + "Ġ*/ }Ċ", + "_ pages", + "_p ages", + "_page s", + "_pag es", + "_pa ges", + "( service", + "(s ervice", + "(serv ice", + "9 05", + "90 5", + "R P", + "Ġ Among", + "ĠA mong", + "ĠAm ong", + ". getCurrent", + ".get Current", + ".getC urrent", + "8 06", + "80 6", + "ã Ĥ¹", + "ãĤ ¹", + "Ġs lee", + "Ġsl ee", + "Ġsle e", + "= [Ċ", + ">[ Ċ", + "o ler", + "ol er", + "ole r", + "Ġli bert", + "Ġlib ert", + "Ġliber t", + "Ġ `Ċ", + "Ġ` Ċ", + "Ġw enn", + "Ġwe nn", + "Ġwen n", + "l ated", + "la ted", + "late d", + "lat ed", + "Ġ immune", + "Ġimm une", + "Ġimmun e", + "( Node", + "(N ode", + "Ġ Problem", + "ĠPro blem", + "ĠProb lem", + "ĠProble m", + "Ġ Abs", + "ĠA bs", + "ĠAb s", + "l ogs", + "lo gs", + "log s", + "Ġ ../", + "Ġ. ./", + "Ġ.. /", + "Ġ ADC", + "ĠA DC", + "ĠAD C", + "Ġ }}\">Ċ", + "Ġ} }\">Ċ", + "Ġ}} \">Ċ", + "Ġ}}\" >Ċ", + "Ġ}}\"> Ċ", + "> ');Ċ", + ">' );Ċ", + ">') ;Ċ", + ">'); Ċ", + "= b", + "Ġ Wind", + "ĠW ind", + "ĠWin d", + "ĠWi nd", + "l ahoma", + "lah oma", + "Ġ allocate", + "Ġal locate", + "Ġall ocate", + "Ġalloc ate", + "Ġallo cate", + "o rian", + "or ian", + "oria n", + "ori an", + "Ġpr escription", + "Ġpre scription", + "Ġpres cription", + "- quality", + "-q uality", + "-qu ality", + "Ġ Mayor", + "ĠMay or", + "ĠMa yor", + "ĠMayo r", + "8 55", + "85 5", + "in ely", + "ine ly", + "inel y", + "end foreach", + "Ġ Complex", + "ĠCom plex", + "ĠComp lex", + "ĠComple x", + "k om", + "ko m", + "7 09", + "70 9", + "T Y", + "7 90", + "79 0", + "] ].", + "]] .", + ". Style", + ".St yle", + "_ many", + "_m any", + "_man y", + "_ma ny", + "', '$", + "',' $", + "Ġbar rier", + "Ġbarr ier", + "Ġ Fetch", + "ĠF etch", + "ĠFet ch", + "Ġ Marvel", + "ĠMar vel", + "Ġres ist", + "о го", + "ог о", + "b idden", + "bi dden", + "bid den", + "Ġ Runnable", + "ĠR unnable", + "ĠRun nable", + ": false", + ":f alse", + "8 99", + "89 9", + "Ġbuild s", + "Ġ Stage", + "ĠSt age", + "ĠSta ge", + "Ġ dub", + "Ġd ub", + "Ġdu b", + "em po", + "emp o", + ". site", + ".s ite", + ".si te", + "5 58", + "55 8", + "; ĊĊĊĊ", + ";Ċ ĊĊĊ", + ";ĊĊ ĊĊ", + ";ĊĊĊ Ċ", + "9 94", + "99 4", + "Ġ Denver", + "ĠDen ver", + "Ġre vel", + "Ġrev el", + "Ġreve l", + "Ġtrigger ed", + "Ġ dice", + "Ġd ice", + "Ġdi ce", + "Ġdic e", + "_ fail", + "_f ail", + "_fa il", + "Ġ gc", + "Ġg c", + "8 33", + "83 3", + "5 89", + "58 9", + "ĉ X", + "Ġ Throwable", + "ĠTh rowable", + "ĠThrow able", + "7 75", + "77 5", + ". router", + ".r outer", + ".route r", + ".ro uter", + "ĠRe volution", + "ĠRev olution", + "ÑĢ а", + "_ NON", + "_N ON", + "_NO N", + "0 55", + "05 5", + "Ł ¥", + "5 78", + "57 8", + "Ġ elder", + "Ġe lder", + "Ġel der", + "Ġelde r", + "Ġab road", + "Ġ е", + "ĠÐ µ", + "Ġ Adult", + "ĠAd ult", + "b lr", + "bl r", + "g lyphicon", + "glyph icon", + "6 13", + "61 3", + "Ġprom oting", + "Ġpromot ing", + "Ġpromo ting", + "Ġ iz", + "Ġi z", + "Ġ Solid", + "ĠS olid", + "ĠSo lid", + "ĠSol id", + "6 45", + "64 5", + "_ loader", + "_l oader", + "_lo ader", + "_load er", + "ear ly", + ". enabled", + ".en abled", + ".enable d", + "- edit", + "-e dit", + "-ed it", + "Ġ UL", + "ĠU L", + "_ play", + "_p lay", + "_pl ay", + "Ġ Interrupt", + "ĠInt errupt", + "ĠInter rupt", + "ĠInterr upt", + "Ġadv antages", + "Ġadvant ages", + "Ġadvantage s", + "u cle", + "uc le", + "Ġmechan ical", + "Ġmechanic al", + "Ġmech anical", + ".table LayoutPanel", + "Ġ Working", + "ĠWork ing", + "ĠWor king", + "Ġ anonymous", + "Ġan onymous", + "Ġanonym ous", + "Ġanon ymous", + "R ating", + "Ra ting", + "ig ious", + "igi ous", + "_ phone", + "_p hone", + "_ph one", + ".addAction Listener", + "Ġf ran", + "Ġfr an", + "Ġfra n", + "un den", + "und en", + "unde n", + "Ġ *)&", + "Ġ* )&", + "Ġ*) &", + "_ bool", + "_b ool", + "_bo ol", + "ul ative", + "Ġ cone", + "Ġc one", + "Ġcon e", + "Ġco ne", + "Ġ Mult", + "ĠM ult", + "ĠMu lt", + "ĠMul t", + "Ġm ö", + "Ġ Forward", + "ĠFor ward", + "] ):Ċ", + "]) :Ċ", + "]): Ċ", + "Ġconvin ced", + "Ġconvince d", + "Ġconvinc ed", + "act ed", + "ac ted", + "6 43", + "64 3", + "ãģ ĵ", + "Ġ Configure", + "ĠCon figure", + "ĠConfig ure", + "ĠConf igure", + "Ġce iling", + "Ġceil ing", + "D er", + "De r", + "Ġpass engers", + "Ġpassenger s", + "G roups", + "Group s", + "Gro ups", + "Ġs occer", + "Ġsoc cer", + "/ W", + "av iors", + "avior s", + "avi ors", + "s with", + "sw ith", + "Ġ Zone", + "ĠZ one", + "ĠZo ne", + ". Options", + ".O ptions", + ".Option s", + "Ġ Mom", + "ĠM om", + "ĠMo m", + "i eder", + "ie der", + "ied er", + "Array s", + "Ar rays", + "Arr ays", + "Ġtreat ments", + "Ġtreatment s", + "Ġprotect ing", + "f ac", + "fa c", + "Ġ pickle", + "Ġp ickle", + "Ġpick le", + "Ġpic kle", + "Button Item", + "7 13", + "71 3", + "Ġ blocking", + "Ġb locking", + "Ġbl ocking", + "Ġblock ing", + "Ġbloc king", + "st rar", + "str ar", + "stra r", + "à ²", + "Ġ Export", + "ĠEx port", + "ĠExp ort", + "ĠExpo rt", + "Ġth rew", + "Ġthr ew", + "ot ta", + "ott a", + "Ġ BASE", + "ĠB ASE", + "ĠBAS E", + "ĠBA SE", + ". ws", + ".w s", + ".LE ADING", + "order By", + "_ delay", + "_d elay", + "_de lay", + "_del ay", + "Ġ Pu", + "ĠP u", + ". dll", + ".d ll", + "Ġ Choose", + "ĠCh oose", + "ĠCho ose", + "9 92", + "99 2", + "Pol ice", + "Po lice", + "Ġ BEGIN", + "ĠB EGIN", + "ĠBE GIN", + "bo xes", + "box es", + "Ġ diamond", + "Ġd iamond", + "Ġdiam ond", + "Ġdia mond", + ", l", + "Ġ ĉĉĉ", + "Ġĉ ĉĉ", + "Ġĉĉ ĉ", + "Ġc urious", + "Ġcur ious", + "Ġcu rious", + "6 24", + "62 4", + "t v", + "Ġerot ische", + "Ġerotisch e", + "ack ages", + "ackage s", + "ĉ Set", + "ĉS et", + "T ick", + "Ti ck", + ". border", + ".b order", + "static method", + "Ġ cher", + "Ġc her", + "Ġch er", + "Ġche r", + "in voice", + "inv oice", + "Ġc ru", + "Ġcr u", + "Ġde fect", + "Ġdef ect", + "Ġdefe ct", + "_ metadata", + "_m etadata", + "_meta data", + "_met adata", + "re lation", + "rel ation", + "i kan", + "ik an", + "ika n", + "[ N", + "( Qt", + "(Q t", + "( Base", + "(B ase", + "æģ ¯", + "b eat", + "be at", + "Ġ Empty", + "ĠEm pty", + "ĠEmp ty", + "ĉ o", + "_ shift", + "_s hift", + "_sh ift", + "Ġreg ret", + "7 22", + "72 2", + "Th ose", + "Tho se", + "C ent", + "Ce nt", + "ĠPort ug", + "ĠIs lands", + "ĠIsl ands", + "ĠIsland s", + "Ġ TIME", + "ĠT IME", + "ĠTIM E", + "ĠTI ME", + "Man agement", + "Manage ment", + "Mana gement", + "9 96", + "99 6", + "- sp", + "-s p", + "5 39", + "53 9", + "ê me", + "êm e", + "Ġn otion", + "Ġnot ion", + "Ġno tion", + "un ifu", + "uni fu", + "P K", + "8 26", + "82 6", + "è¡ Į", + "ĠC URLOPT", + "ĠCUR LOPT", + "ĠCURL OPT", + "\\ \"\\", + "\\\" \\", + "U V", + "ç º", + "d ra", + "dr a", + "c ou", + "co u", + "= `", + "Ġ Destroy", + "ĠD estroy", + "ĠDe stroy", + "ĠDest roy", + "r p", + ". cancel", + ".c ancel", + ".can cel", + "G G", + "r untime", + "run time", + "Ġ Vue", + "ĠV ue", + "ĠVu e", + "Ġpro gressive", + "Ġprogress ive", + "Ġprog ressive", + "/ services", + "/s ervices", + "/service s", + "Ġ runner", + "Ġr unner", + "Ġrun ner", + "_ FRAME", + "_FR AME", + ". ToolStripMenuItem", + ".ToolStrip MenuItem", + "Ġ ','", + "Ġ' ,'", + "Ġ', '", + "d elay", + "de lay", + "del ay", + "= utf", + "=u tf", + "Ġscreen ing", + "Ġscre ening", + "Ġp ulling", + "Ġpull ing", + "Ġpul ling", + "o mas", + "om as", + "oma s", + "Ġ anth", + "Ġa nth", + "Ġan th", + "Ġant h", + "- new", + "-n ew", + "-ne w", + "/ local", + "/l ocal", + "/lo cal", + "Ġ iPad", + "Ġi Pad", + "ĠiP ad", + "Ġ twitter", + "Ġt witter", + "Ġtw itter", + "Ġd ying", + "Ġdy ing", + "Ġhe aven", + "Ġheav en", + "Ġ UInt", + "ĠU Int", + "ĠUI nt", + "Ġ Senator", + "ĠSen ator", + "Ġpre sum", + "Ġpres um", + "Ġ Walker", + "ĠW alker", + "ĠWalk er", + "ĠWal ker", + "Ġover come", + "e tection", + "et ection", + "ete ction", + "etect ion", + "Ġemb arrass", + "Ch ina", + "Chi na", + "6 39", + "63 9", + "In clude", + "Inc lude", + "R OLL", + "RO LL", + "ROL L", + "Ġ dataType", + "Ġdata Type", + "D avid", + "Da vid", + "ภ£", + "l op", + "lo p", + "- month", + "-m onth", + "-mon th", + "Ġ scar", + "Ġs car", + "Ġsc ar", + "Ġsca r", + "Ġ Safe", + "ĠS afe", + "ĠSaf e", + "ĠSa fe", + "Ġ ****************************************************************", + "Ġ******************************** ********************************", + "Ġ******** ********************************************************", + "Ġ**************** ************************************************", + "Ġ************************ ****************************************", + "Ġ**************************************** ************************", + "Ġ******************************************************** ********", + "Ġ************************************************ ****************", + "Ġaccess ories", + "Ġaccessor ies", + "Ġr amp", + "Ġra mp", + "Ġram p", + "_ USE", + "_U SE", + "_US E", + "Ġcon trad", + "Ġcont rad", + "Ġcontr ad", + "Ġcontra d", + ") )]Ċ", + ")) ]Ċ", + "))] Ċ", + "Ġp rest", + "Ġpr est", + "Ġpre st", + "Ġpres t", + "Ġ HR", + "ĠH R", + "ĠR ap", + "ĠRa p", + "Ġ usize", + "Ġu size", + "Ġus ize", + "Ġ capability", + "Ġcap ability", + "Ġc ort", + "Ġco rt", + "Ġcor t", + "- next", + "-n ext", + "-ne xt", + "0 77", + "07 7", + "6 27", + "62 7", + "Ġbur den", + "8 22", + "82 2", + "_ reader", + "_re ader", + "_read er", + "Ġ @@", + "Ġ@ @", + "reg ular", + "Ġ Ka", + "ĠK a", + "0 36", + "03 6", + "M AN", + "MA N", + "Ġ astr", + "Ġa str", + "Ġas tr", + "Ġast r", + "Ġ' ')Ċ", + "Ġ'' )Ċ", + "Ġ'') Ċ", + "Ġ fed", + "Ġf ed", + "Ġfe d", + "Ġp arsing", + "Ġpar sing", + "Ġpars ing", + "Ġ Years", + "ĠY ears", + "ĠYear s", + "ĠYe ars", + "Ġ broker", + "Ġb roker", + "Ġbr oker", + "Ġbro ker", + "Ġbroke r", + "\": {\"", + "Ġ akt", + "Ġa kt", + "Ġak t", + "In ventory", + "ab eled", + "abel ed", + "abe led", + "Ġarg parse", + "* ******Ċ", + "** *****Ċ", + "**** ***Ċ", + "****** *Ċ", + "*** ****Ċ", + "***** **Ċ", + "******* Ċ", + "vers ation", + "Ġ cord", + "Ġc ord", + "Ġco rd", + "Ġcor d", + "Ġ Ti", + "ĠT i", + "Ġ hopefully", + "Ġhope fully", + "Ġhop efully", + "Ġhopeful ly", + "Ġ ah", + "Ġa h", + "v erb", + "ver b", + "ve rb", + "Ġst olen", + "Ġstole n", + "Ġsto len", + "Ġstol en", + ". Entry", + ".En try", + ".Ent ry", + "Ġex pecting", + "Ġexpect ing", + "O rientation", + "Ġ powered", + "Ġp owered", + "Ġpower ed", + "Ġpow ered", + "Ġ persist", + "Ġp ersist", + "Ġpers ist", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "' ]);", + "'] );", + "']) ;", + "' )),Ċ", + "') ),Ċ", + "')) ,Ċ", + "')), Ċ", + "Ġ Cash", + "ĠC ash", + "ĠCas h", + "ĠCa sh", + "ĉ item", + "ĉi tem", + "ĉit em", + "8 18", + "81 8", + "g rades", + "gr ades", + "grad es", + "grade s", + "gra des", + "r opol", + "ro pol", + "rop ol", + "b asic", + "ba sic", + "bas ic", + "Ġ \");čĊ", + "Ġ\" );čĊ", + "Ġ\") ;čĊ", + "Ġ\"); čĊ", + "Ġa wards", + "Ġaw ards", + "Ġaward s", + "( range", + "(r ange", + "(ra nge", + "- all", + "-a ll", + "-al l", + "Ġ IBOutlet", + "ĠIB Outlet", + "Ġ Indeed", + "ĠInd eed", + "---------------------------------------------------------------- ------------", + "------------ ----------------------------------------------------------------", + "------------------------------------------------ ----------------------------", + "------ ----------------------------------------------------------------------", + "---------------------------- ------------------------------------------------", + "---------------------------------------------------------------------- ------", + "Ġstom ach", + "Ġsto mach", + "Ġ flower", + "Ġf lower", + "Ġfl ower", + "Ġflow er", + "Ġflo wer", + "Ġs ew", + "Ġse w", + "_ times", + "_t imes", + "_time s", + "_tim es", + "_ti mes", + "a vis", + "av is", + "avi s", + "Q String", + "QS tring", + "Ġ Routes", + "ĠR outes", + "ĠRoute s", + "ĠRo utes", + "ĠRou tes", + "ĠRout es", + "_ prot", + "_p rot", + "_pro t", + "_pr ot", + "Ġcom edy", + "Ġcome dy", + "Ġcomed y", + "Ġ logout", + "Ġlog out", + "Ġlogo ut", + "Ġwood en", + "Ġwo oden", + "Ġwoo den", + "Ġ poster", + "Ġp oster", + "Ġpos ter", + "Ġpost er", + "Ġpo ster", + "Ġposte r", + "p iece", + "pi ece", + "pie ce", + ". Join", + ".J oin", + "Ġ Pok", + "ĠP ok", + "ĠPo k", + "cel ona", + "m utex", + "mut ex", + "mu tex", + "mute x", + "; čĊčĊčĊ", + ";čĊ čĊčĊ", + ";čĊčĊ čĊ", + "Ġst rikes", + "Ġstr ikes", + "Ġstri kes", + "Ġstrike s", + "7 87", + "78 7", + "Lo aded", + "Load ed", + ") arg", + ")a rg", + "e sa", + "es a", + "Un ited", + "Unit ed", + "Uni ted", + "E p", + "P ELL", + "PE LL", + "8 07", + "80 7", + "Ġ Atlantic", + "ĠAtl antic", + "ul let", + "ull et", + "ulle t", + "6 52", + "65 2", + "ap ple", + "app le", + "appl e", + "Ġsett led", + "Ġsettle d", + "a con", + "ac on", + "aco n", + "Ġ printer", + "Ġpr inter", + "Ġprint er", + "Ġprin ter", + "Ġ GC", + "ĠG C", + "å® ļ", + "Ġrender ed", + "Ġrend ered", + ", âĢĻ", + "he it", + "hei t", + "s ocial", + "so cial", + "soc ial", + ". ge", + ".g e", + "7 14", + "71 4", + "Ġ Rick", + "ĠR ick", + "ĠRic k", + "ĠRi ck", + "ĠU tah", + "ĠUt ah", + "g ot", + "go t", + "on ical", + "onic al", + "oni cal", + "onica l", + "Ġ Scroll", + "ĠS croll", + "ĠSc roll", + "ĠScr oll", + "ĠSc iences", + "ĠScience s", + "ĠSci ences", + "Ġ jug", + "Ġj ug", + "Ġju g", + "Ġa mpl", + "Ġam pl", + "Ġamp l", + "en ti", + "ent i", + "LE FT", + "Ġ tabs", + "Ġt abs", + "Ġtab s", + "Ġta bs", + "Ġenorm ous", + ". getKey", + ".get Key", + "l ocate", + "lo cate", + "loc ate", + ". EX", + ".E X", + ". storage", + ".st orage", + ". We", + ".W e", + "Ġ toast", + "Ġto ast", + "Ġ Additionally", + "ĠAdd itionally", + "ĠAdditional ly", + "ĠAddition ally", + "8 82", + "88 2", + "Ġ NOW", + "ĠN OW", + "ĠNO W", + "5 47", + "54 7", + "_ UPDATE", + "_UP DATE", + "Ġtrans ferred", + "Ġtransfer red", + "t ha", + "th a", + ". Display", + ".D isplay", + ".Dis play", + "_ ui", + "_u i", + "ID EO", + "IDE O", + "Ġmeaning ful", + "ĠMos cow", + ", this", + ",t his", + "Ġ Victoria", + "ĠVict oria", + "ĠVictor ia", + "æĶ ¹", + "Ġ ÐŁ", + "ĠÐ Ł", + ". stack", + ".st ack", + "ĠB arn", + "ĠBar n", + "ĠBa rn", + "pared Statement", + ": string", + ":s tring", + ":str ing", + "Ġ bij", + "Ġb ij", + "Ġbi j", + "Ġ STATE", + "ĠST ATE", + "ĠSTAT E", + "ĠSTA TE", + "Ġemploy ers", + "Ġemployer s", + "ĉ input", + "ĉin put", + "( |", + "Ġ lex", + "Ġl ex", + "Ġle x", + "in voke", + "inv oke", + "ĉ num", + "ĉn um", + "+ +,", + "++ ,", + "at ial", + "ati al", + "or ses", + "ors es", + "orse s", + "Ġ fork", + "Ġf ork", + "Ġfor k", + "Ġfo rk", + "_ txt", + "_t xt", + "_tx t", + "ĠAnt onio", + "ĠAnton io", + "Ġ (<", + "Ġ( <", + "a verse", + "av erse", + "aver se", + "avers e", + "Ġdev ast", + "ãĢ Ģ", + ". Dec", + ".D ec", + ".De c", + "ĠG ard", + "ĠGar d", + "ĠGa rd", + "/ ui", + "/u i", + ". %", + "t ri", + "tr i", + "Ġ rolled", + "Ġroll ed", + "Ġrol led", + "Value Pair", + "it ten", + "itt en", + "itte n", + "ĠT her", + "ĠThe r", + "ĠTh er", + "Ġv rou", + "Ġvr ou", + "Ġ Flow", + "ĠF low", + "ĠFl ow", + "ĠFlo w", + "Ġ Finance", + "ĠF inance", + "ĠFin ance", + "Ġ Comb", + "ĠC omb", + "ĠCom b", + "ĠCo mb", + "H C", + ". setVisible", + ".set Visible", + "i sl", + "is l", + "Ġ pk", + "Ġp k", + "7 73", + "77 3", + "Ġup set", + "Ġups et", + "( raw", + "(r aw", + "(ra w", + "ĠV ice", + "ĠVi ce", + "ĠVic e", + "e atures", + "ea tures", + "eature s", + "eat ures", + "Ġ Lang", + "ĠL ang", + "ĠLa ng", + "ĠLan g", + "0 29", + "02 9", + "Lo oking", + "Look ing", + "7 67", + "76 7", + "Ġ AST", + "ĠA ST", + "ĠAS T", + "Ġt rips", + "Ġtr ips", + "Ġtri ps", + "Ġtrip s", + "Ġ Justin", + "ĠJ ustin", + "ĠJust in", + "ĠJu stin", + "b rowser", + "browse r", + "=\" '.$", + "=\"' .$", + "=\"'. $", + ". vertices", + ".vert ices", + "8 21", + "82 1", + "- co", + "-c o", + "} /{", + "}/ {", + "Ġ ?,", + "Ġ? ,", + "Ġ Domin", + "ĠD omin", + "ĠDo min", + "ĠDom in", + "ĠBe lg", + "ĠBel g", + "\" <", + "Ġsup pose", + "Ġsupp ose", + "a ddy", + "ad dy", + "add y", + "Ġwalk s", + "Ġwal ks", + "6 88", + "68 8", + "ER RU", + "ERR U", + "_ filters", + "_f ilters", + "_filter s", + "_fil ters", + "_filt ers", + "Pre ferred", + "s cene", + "sc ene", + "е Ñģ", + "ĠAff airs", + "Ġ\" #{", + "Ġ\"# {", + "Ġon Submit", + "Ġ stocks", + "Ġst ocks", + "Ġstock s", + "Ġsto cks", + "/ view", + "/v iew", + "g ree", + "gr ee", + "gre e", + "- get", + "-g et", + "9 03", + "90 3", + "h it", + "hi t", + "J o", + ". getC", + ".get C", + "7 25", + "72 5", + "Init ialized", + "Initial ized", + "Initialize d", + "ÑĤ и", + "c uts", + "cut s", + "cu ts", + "( Type", + "(T ype", + "ĠAg reement", + "ĠAgree ment", + "ĠViet nam", + "Ġ /*!", + "Ġ/* !", + "Ġ pizza", + "Ġp izza", + "Ġpi zza", + "- view", + "-v iew", + "_ em", + "_e m", + "Ġ lhs", + "Ġl hs", + "Ġlh s", + "Ġm uy", + "Ġmu y", + "Ġ Ident", + "ĠI dent", + "ĠId ent", + "ĠIde nt", + "Ġ Friends", + "ĠF riends", + "ĠFriend s", + "ĠFri ends", + "0 61", + "06 1", + "Ġab und", + "_ AD", + "_A D", + ". timestamp", + ".t imestamp", + ".time stamp", + "- '", + "Ġ duplicate", + "Ġd uplicate", + "Ġdup licate", + "Ġduplic ate", + "Ġh unting", + "Ġhun ting", + "Ġhunt ing", + "Ġreg ulatory", + "Ġregul atory", + "Ġregulator y", + "i ao", + "ia o", + "am ous", + "amo us", + "ĠEnt ertainment", + "ĠEnter tainment", + "[ A", + "iat ric", + "_ CLIENT", + "_CL IENT", + "_CLI ENT", + "Ġ Kids", + "ĠK ids", + "ĠKi ds", + "ĠKid s", + "/ pkg", + "/p kg", + "B reak", + "Bre ak", + ") ));ĊĊ", + ")) );ĊĊ", + ")));Ċ Ċ", + "))) ;ĊĊ", + "))); ĊĊ", + "Ġ Shape", + "ĠS hape", + "ĠSh ape", + "ĠSha pe", + "Ġrel ating", + "Ġrelat ing", + "Int errupt", + "Inter rupt", + "able Opacity", + "em bre", + "emb re", + "embr e", + "Ġm ystery", + "Ġmy stery", + "Ġmys tery", + "Ġmyst ery", + "Ġmyster y", + "Ġjournal ists", + "Ġjournalist s", + "r itable", + "ri table", + "rit able", + "rita ble", + ". Link", + ".L ink", + "Ġst opping", + "Ġstop ping", + "Ġsto pping", + "C RET", + "CR ET", + "CRE T", + ". DB", + ".D B", + "Ġpop ularity", + "Ġpopular ity", + "Ġpopul arity", + "Ġ gew", + "Ġg ew", + "Ġge w", + "Ġi mpr", + "Ġim pr", + "Ġimp r", + "set Value", + "F LAG", + "FL AG", + "ĉ max", + "ĉm ax", + "Ġb ake", + "Ġba ke", + "Ġbak e", + "w y", + "ĠE conomic", + "ĠEcon omic", + "ĠEc onomic", + "ĠEconom ic", + "Ġen contr", + "Ġ fname", + "Ġf name", + "Ġfn ame", + "/ de", + "/d e", + "R ank", + "Ra nk", + "Ġ bugs", + "Ġb ugs", + "Ġbu gs", + "Ġbug s", + ". sm", + ".s m", + "Ġ median", + "Ġm edian", + "Ġmed ian", + "Ġmedia n", + "Ġmedi an", + "D OWN", + "DO WN", + "Ġ Sure", + "ĠS ure", + "ĠSur e", + "ĠSu re", + "At Index", + "Ġ Dick", + "ĠD ick", + "ĠDi ck", + "Ġ (__", + "Ġ( __", + "Ġ(_ _", + ". delta", + ".d elta", + ".del ta", + "F r", + "Ġsuggest ing", + "Ġ RecyclerView", + "ĠRec yclerView", + ", e", + "ST ART", + "STAR T", + "STA RT", + "/ ****************************************************************************", + "/************************************************************************ ****", + "/**************************************************************** ************", + "/******************************************************** ********************", + "/************************************************ ****************************", + "x ford", + "xf ord", + "Ġ receipt", + "Ġre ceipt", + "Ġrece ipt", + "CL AIM", + "CLA IM", + "read only", + "9 68", + "96 8", + "Ġeng aging", + "6 19", + "61 9", + "C a", + "as ma", + "asm a", + "Ġens uring", + "Eng lish", + "ĠV ancouver", + "h yth", + "hy th", + "Ġpurch asing", + "Ġ PI", + "ĠP I", + ". word", + ".w ord", + "( sp", + "(s p", + ". home", + ".h ome", + ".hom e", + ": def", + ":d ef", + "Ġg ig", + "Ġgi g", + "5 74", + "57 4", + "6 71", + "67 1", + "Ġ Ve", + "ĠV e", + "f orum", + "fo rum", + "for um", + "Ġ Mitch", + "ĠM itch", + "ĠMit ch", + "B ay", + "Ba y", + "_ FL", + "_F L", + "6 51", + "65 1", + "Ġs oll", + "Ġso ll", + "Ġsol l", + "5 77", + "57 7", + "_ columns", + "_column s", + "Ġminor ity", + "b ird", + "bi rd", + "bir d", + "Ġh anded", + "Ġhand ed", + "Ġhan ded", + "S SL", + "SS L", + "ST AT", + "STA T", + "Ġnerv ous", + "Ġner vous", + "ĥ ½", + "Ġ filePath", + "Ġfile Path", + "C REATE", + "CRE ATE", + "A w", + "Ġp ens", + "Ġpe ns", + "Ġpen s", + "8 35", + "83 5", + "s eed", + "se ed", + "see d", + "Ġ Compute", + "ĠCom pute", + "ĠComp ute", + "ĠComput e", + "o lk", + "ol k", + "5 94", + "59 4", + "Ġ Asset", + "ĠAs set", + "ĠAss et", + "r each", + "re ach", + "rea ch", + "' ),čĊ", + "') ,čĊ", + "'), čĊ", + "n avigation", + "nav igation", + "L F", + "/ util", + "/u til", + "Ġ Pub", + "ĠP ub", + "ĠPu b", + "Ġ âĶ", + "Ġâ Ķ", + "c ion", + "ci on", + "cio n", + "# #Ċ", + "## Ċ", + "0 72", + "07 2", + "I II", + "II I", + "Tag Name", + "Ġa mid", + "Ġam id", + "Ġami d", + "per mission", + "perm ission", + "if iable", + "ifi able", + "x FFFFFFFF", + "xFF FFFFFF", + "xFFFF FFFF", + "xFFFFFF FF", + "н и", + ". Buffer", + ".B uffer", + "_ irq", + "_i rq", + "_ir q", + "d ark", + "da rk", + "dar k", + "Ġ retval", + "Ġret val", + ". fire", + ".f ire", + ".fi re", + "p roduction", + "pro duction", + "product ion", + "produ ction", + "prod uction", + ". listen", + ".l isten", + ".list en", + ".li sten", + "Ġ Weather", + "ĠWe ather", + "Ġbu yers", + "Ġbuy ers", + "Ġbuyer s", + ". ne", + ".n e", + "e rp", + "er p", + "ĠP ent", + "ĠPe nt", + "ĠPen t", + "6 99", + "69 9", + "Ġw elfare", + "Ġwel fare", + "Ġ pageSize", + "Ġpage Size", + "ĠSt adium", + "ĠStad ium", + "er ta", + "ert a", + "Ġ lev", + "Ġl ev", + "Ġle v", + "am pa", + "amp a", + "P ager", + "Page r", + "Pa ger", + "Pag er", + "6 65", + "66 5", + "Ġ charging", + "Ġch arging", + "Ġchar ging", + "Ġcharg ing", + "Ġ Netflix", + "ĠNet flix", + "| null", + "_ random", + "_r andom", + "_rand om", + ". xpath", + ".x path", + "Ġs tere", + "Ġst ere", + "Ġste re", + "Ġster e", + "Ġ ISIS", + "ĠIS IS", + "ĠISI S", + "pon ses", + "ponse s", + "pons es", + "( loc", + "(l oc", + "(lo c", + "5 66", + "56 6", + "ey ond", + "Ġ Official", + "ĠOff icial", + "6 57", + "65 7", + "ĠMary land", + "Data Type", + "_ par", + "_p ar", + "_pa r", + "{ },", + "{} ,", + "Ġ Enjoy", + "ĠEn joy", + "7 27", + "72 7", + "_ SHIFT", + "_SH IFT", + "ĠA wards", + "ĠAward s", + "ĠAw ards", + "_ ENTRY", + "_EN TRY", + "_ENT RY", + "Ġseem ingly", + "Ġseeming ly", + "ent icate", + "entic ate", + "enti cate", + "Ġhe arts", + "Ġheart s", + "Ġhear ts", + "5 83", + "58 3", + "_ ;ĊĊ", + "_;Ċ Ċ", + "_; ĊĊ", + "ĠH IV", + "ĠHI V", + "Ġin divid", + "Ġind ivid", + "Ġindiv id", + "Ġ Flag", + "ĠF lag", + "ĠFl ag", + "ĠFla g", + "_ ctrl", + "_c trl", + "_ct rl", + "_ctr l", + "Ġ Callback", + "ĠC allback", + "ĠCall back", + ", z", + "Ġ GPU", + "ĠG PU", + "ĠGP U", + "ĉ obj", + "ĉo bj", + "ĉob j", + "Ġ Phoenix", + "ĠPh oenix", + "Ġ BUS", + "ĠB US", + "ĠBU S", + "9 07", + "90 7", + "Ġr ubber", + "Ġrub ber", + "_ AUTH", + "_A UTH", + "_AUT H", + "ĠS olutions", + "ĠSol utions", + "ĠSolution s", + "( location", + "(l ocation", + "(loc ation", + "(lo cation", + "Variable s", + "Vari ables", + ". setEnabled", + ".set Enabled", + "_ high", + "_h igh", + "_hi gh", + "W O", + "G esture", + "Ġ retry", + "Ġre try", + "Ġr etry", + "Ġret ry", + "Ġretr y", + "Ġobject ForKey", + "allow een", + "allo ween", + "Ġ mos", + "Ġm os", + "Ġmo s", + "Ġ Cele", + "ĠC ele", + "ĠCe le", + "ĠCel e", + "Ġi kke", + "Ġik ke", + "( cell", + "(c ell", + "Ġ MODE", + "ĠM ODE", + "ĠMO DE", + "ĠMOD E", + "r ena", + "re na", + "ren a", + "Ġdes cribing", + "Ġdescri bing", + "6 41", + "64 1", + "Ġ phi", + "Ġp hi", + "Ġph i", + "Ġ rd", + "Ġr d", + "Ġde serve", + "Ġdes erve", + "Ġdese rve", + "Ġdeser ve", + "Ġw heels", + "Ġwheel s", + "Ġwhe els", + "å¸ Ĥ", + "Ġcr itics", + "Ġcrit ics", + "Ġcritic s", + "Ġcri tics", + "7 55", + "75 5", + "N amespace", + "Name space", + "Names pace", + "Ġ Fra", + "ĠF ra", + "ĠFr a", + "Ġ ĊĊĊĊ", + "ĠĊ ĊĊĊ", + "ĠĊĊ ĊĊ", + "ĠĊĊĊ Ċ", + "Ġ alla", + "Ġa lla", + "Ġal la", + "Ġall a", + "Ġre quiring", + "Ġrequ iring", + "æľ Ł", + "ut ation", + "uta tion", + "Ġdel ayed", + "Ġdelay ed", + "Ġadministr ative", + "Ġ bay", + "Ġb ay", + "Ġba y", + ". hidden", + ".h idden", + "T ex", + "Te x", + "0 51", + "05 1", + "Ġbound aries", + "Ġ ]);ĊĊ", + "Ġ] );ĊĊ", + "Ġ]);Ċ Ċ", + "Ġ]) ;ĊĊ", + "Ġ]); ĊĊ", + "Ġ Following", + "ĠFollow ing", + "~ /", + "F i", + "_ conv", + "_con v", + "_co nv", + "_ TITLE", + "_T ITLE", + "Ġdes de", + "I CollectionView", + "ICollection View", + "A lias", + "Al ias", + "Ali as", + "Ġ bite", + "Ġb ite", + "Ġbit e", + "Ġbi te", + "p atient", + "pat ient", + "_ COMMAND", + "_COM MAND", + "_COMM AND", + "Com pleted", + "Complete d", + "Comp leted", + "Comple ted", + "ĉ elif", + "ĉe lif", + "ĉel if", + "( <", + "B usiness", + "Bus iness", + "Ġ Pool", + "ĠP ool", + "ĠPo ol", + "Ġpurs ue", + "Ġ Ban", + "ĠB an", + "ĠBa n", + "_ steps", + "_st eps", + "_step s", + "_ste ps", + "_ DECL", + "_DE CL", + "_DEC L", + "um ble", + "umb le", + "Ġ combo", + "Ġc ombo", + "Ġcom bo", + "Ġcomb o", + "Ġ Layer", + "ĠL ayer", + "ĠLa yer", + "ĠLay er", + ". xr", + ".x r", + "Ġ dup", + "Ġd up", + "Ġdu p", + "- --------", + "-- -------", + "---- -----", + "-------- -", + "--- ------", + "----- ----", + "------ ---", + "------- --", + "6 28", + "62 8", + "Ġ modifier", + "Ġmod ifier", + "r ob", + "ro b", + "r ez", + "re z", + "6 96", + "69 6", + "Ġath letes", + "Ġathlete s", + "U sed", + "Us ed", + "Use d", + "w ear", + "we ar", + "8 15", + "81 5", + "Ġleg itimate", + "Ġlegit imate", + "Ġlegitim ate", + "Ġ \"ĊĊ", + "Ġ\" ĊĊ", + "Ġ\"Ċ Ċ", + "Ġ hv", + "Ġh v", + "S td", + "St d", + "0 37", + "03 7", + "Ġ Hold", + "ĠH old", + "ĠHol d", + "ĠHo ld", + "Ġsurv iv", + "ĠAll iance", + "Ġ Early", + "ĠEar ly", + "ĠEarl y", + "7 78", + "77 8", + "Beh avior", + "( font", + "(f ont", + "/ libs", + "/lib s", + "/l ibs", + "/li bs", + "Ġ rectangle", + "Ġrect angle", + "Ġs inger", + "Ġsi nger", + "Ġsin ger", + "Ġsing er", + "Ġ amp", + "Ġa mp", + "Ġam p", + "Equal To", + "Ġ \".\"", + "Ġ\" .\"", + "Ġ\". \"", + "Ġgirl friend", + "å ±", + "l inear", + "li near", + "line ar", + "lin ear", + "o bserv", + "ob serv", + "obs erv", + "Ġpi ù", + "Ġcom plement", + "Ġcomp lement", + "Ġcomple ment", + "Ġcompl ement", + "With Value", + "( password", + "(p assword", + "(pass word", + "t ake", + "ta ke", + "tak e", + "Bl ank", + "Ġ Compar", + "ĠCom par", + "ĠCo mpar", + "ĠComp ar", + "' \",", + "'\" ,", + "_ policy", + "_p olicy", + "_pol icy", + "m ongoose", + "mongo ose", + "mong oose", + "_ FAILED", + "_FAIL ED", + "_FA ILED", + ". report", + ".re port", + ".repo rt", + ".rep ort", + "R atio", + ".Perform Layout", + "7 47", + "74 7", + "us able", + "usa ble", + "m ers", + "mer s", + "me rs", + "_ render", + "_re nder", + "_r ender", + "PE ED", + "7 72", + "77 2", + "Ġle sb", + "Ġles b", + "ĉ E", + "_ tool", + "_t ool", + "_to ol", + "Ġl adies", + "Ġlad ies", + "9 08", + "90 8", + "о Ñģ", + ") )))Ċ", + ")) ))Ċ", + "))) )Ċ", + ")))) Ċ", + "; ;;;", + ";; ;;", + ";;; ;", + ". dot", + ".d ot", + ".do t", + "Ġ nest", + "Ġn est", + "Ġne st", + "Ġnes t", + "pe ak", + "uk kit", + "e ca", + "ec a", + "_ SW", + "_S W", + "Ġ &(", + "Ġ& (", + "ĠOk lahoma", + "Ġb anking", + "Ġbank ing", + "Ġban king", + "5 69", + "56 9", + "Ġ Nintendo", + "ĠN intendo", + "7 52", + "75 2", + "Ġre produce", + "Ġrep roduce", + "Ġreprodu ce", + "Ġrepro duce", + "_ elements", + "_e lements", + "_element s", + "_el ements", + "_elem ents", + "_ele ments", + "_ mac", + "_m ac", + "_ma c", + "pr oxy", + "pro xy", + "prox y", + "Ġremark able", + "} /${", + "}/ ${", + "Ġ outs", + "Ġo uts", + "Ġout s", + "Ġou ts", + ".has Next", + "M ODE", + "MO DE", + "MOD E", + "6 58", + "65 8", + "Ġ anime", + "Ġan ime", + "Ġanim e", + "Ġani me", + ". conn", + ".c onn", + ".con n", + ".co nn", + "Un ique", + "Uni que", + "D om", + "Do m", + "Ġimport antly", + "Ġimportant ly", + "i tty", + "it ty", + "itt y", + "Ġju ice", + "T w", + "ĠPart ners", + "ĠPartner s", + "Ġatt acking", + "Ġattack ing", + "Ġport able", + "Ġpor table", + "Ġporta ble", + "am iento", + "ami ento", + "amient o", + ". PictureBox", + ".P ictureBox", + ". gen", + ".g en", + ".ge n", + "Ġopt imal", + "Ġoptim al", + "5 82", + "58 2", + "Ġre cre", + "Ġrec re", + "Ġjournal ist", + "Ġ Extract", + "ĠEx tract", + "ĠExt ract", + "ĠExtra ct", + "ĠExtr act", + "Ġ Moreover", + "ĠMore over", + "Ġ marginTop", + "Ġmargin Top", + ". Ap", + ".A p", + "Ġf iring", + "Ġfi ring", + "Ġfir ing", + "N aN", + "Na N", + "ĉ template", + "ĉt emplate", + "ĉtemp late", + "а д", + "аР´", + ". En", + ".E n", + "Ġdef ence", + "Ġdefe nce", + "Ġ Tel", + "ĠT el", + "ĠTe l", + "i len", + "il en", + "ile n", + "j an", + "ja n", + "= data", + "=d ata", + "Ġ Url", + "ĠU rl", + "ĠUr l", + "Ġ Reuters", + "ĠRe uters", + "( total", + "(t otal", + "(to tal", + "ĠF ifth", + "ĠFif th", + "Ġes says", + "Ġess ays", + "Ġessay s", + "Ġessa ys", + "Ġinterpret ation", + "Ġch arity", + "Ġchar ity", + "Ġ Rules", + "ĠR ules", + "ĠRule s", + "ĠRu les", + "Ġ subsection", + "Ġsub section", + "Ġsubs ection", + "st yled", + "style d", + "sty led", + "styl ed", + "a zer", + "az er", + "aze r", + "l ags", + "la gs", + "lag s", + "L IST", + "LI ST", + "Ġ uploaded", + "Ġup loaded", + "Ġupload ed", + "Ġ trash", + "Ġtr ash", + "Ġtra sh", + "Ġtras h", + "Ġ registr", + "Ġreg istr", + "Ġregist r", + "Ġ seller", + "Ġs eller", + "Ġse ller", + "Ġsell er", + "Ġsel ler", + "> ';čĊ", + ">' ;čĊ", + ">'; čĊ", + "Ġ startTime", + "Ġstart Time", + "ç Ļ", + "s y", + "( HttpServletRequest", + "(Http ServletRequest", + "Ġ trap", + "Ġt rap", + "Ġtr ap", + "Ġtra p", + "G C", + "Ġ embedded", + "Ġembed ded", + "Ġsur rounded", + "Ġsurround ed", + "8 16", + "81 6", + "i mits", + "im its", + "imit s", + "imi ts", + "T X", + "yl inder", + "6 85", + "68 5", + "Ġ Fal", + "ĠF al", + "ĠFa l", + "Ġsent ences", + "Ġsentence s", + "Ġ Ja", + "ĠJ a", + "IF ICATION", + "IFIC ATION", + "we apon", + "o vation", + "ov ation", + "ova tion", + "ovat ion", + "Ġ coat", + "Ġco at", + "Ġinter pol", + "Ġinterp ol", + "Ġl ips", + "Ġli ps", + "Ġlip s", + "Ġ Ky", + "ĠK y", + "Ġv ectors", + "Ġvector s", + "Ġve ctors", + "Ġvec tors", + "Ġvect ors", + "_ am", + "_a m", + "Ġin take", + "Ġint ake", + ". world", + ".w orld", + "Ġ inbox", + "Ġin box", + "Ġ MAC", + "ĠM AC", + "ĠMA C", + "_ ab", + "_a b", + "( nameof", + "(name of", + "6 33", + "63 3", + "Ġent ert", + "Ġenter t", + "Ġg athering", + "Ġgather ing", + "Ġ SIM", + "ĠS IM", + "ĠSI M", + "+ +.", + "++ .", + "n ya", + "ny a", + "' }}", + "'} }", + "Ġ UPDATE", + "ĠUP DATE", + "Ġ pac", + "Ġp ac", + "Ġpa c", + "( html", + "(h tml", + "(ht ml", + "ĠS ant", + "ĠSan t", + "ĠSa nt", + "i ating", + "ia ting", + "iat ing", + "ĠIde as", + "ĠIdea s", + "Ġs pray", + "Ġsp ray", + "Ġspr ay", + "ĠH art", + "ĠHar t", + "ĠHa rt", + "Ġ verification", + "Ġver ification", + "Ġverifica tion", + "ad esh", + "ade sh", + "ades h", + "/ modules", + "/mod ules", + "/module s", + "Ġ Mind", + "ĠM ind", + "ĠMin d", + "ĠMi nd", + "ĠSized Box", + "Ġsh elter", + "Ġshel ter", + "Ġ heroes", + "Ġher oes", + "Ġhero es", + "a tty", + "at ty", + "att y", + "Ġcert ified", + "Ġcertif ied", + "s j", + "Ġ être", + "Ġê tre", + "ÅĤ o", + "Ġpublish ing", + "ĠMal ays", + "ĠMa lays", + "ĠMalay s", + ". getUser", + ".get User", + "Ġ Provider", + "ĠPro vider", + "ĠProvid er", + "ĠProvide r", + "ĠProv ider", + "Ġ LinkedList", + "ĠLink edList", + "ĠLinked List", + "ĠB or", + "ĠBo r", + "R OUND", + "RO UND", + "d id", + "di d", + "t ain", + "ta in", + "p ire", + "pi re", + "pir e", + "ĠJ enn", + "ĠJe nn", + "ĠJen n", + "t el", + "te l", + "a nde", + "an de", + "and e", + "7 57", + "75 7", + "_ front", + "_f ront", + "_fr ont", + "ĠMc G", + "Test Method", + "ภŃ", + "Ġocc asionally", + "Ġoccasion ally", + "Ġoccasional ly", + "ĠW ales", + "ĠWal es", + "ĠWa les", + "Ġex ercises", + "Ġexerc ises", + "Ġexercise s", + "Ġ ÐĴ", + "ĠÐ Ĵ", + "0 45", + "04 5", + "- plus", + "-p lus", + "-pl us", + "Ġ validator", + "Ġvalid ator", + "Ġvalida tor", + "Ġpr ayer", + "Ġpray er", + "Ġpra yer", + "L ATED", + "LA TED", + "LAT ED", + "_ author", + "_a uthor", + "_auth or", + "_aut hor", + "Ġla bour", + "Ġlab our", + "+ +Ċ", + "++ Ċ", + "- equiv", + "-e quiv", + "-equ iv", + "Ġ GPL", + "ĠG PL", + "ĠGP L", + "Ġ facebook", + "Ġf acebook", + "Ġface book", + "s imple", + "sim ple", + "simp le", + "g ly", + "gl y", + "Process or", + "Proc essor", + "i py", + "ip y", + "7 44", + "74 4", + "Ġ *>", + "Ġ* >", + "6 48", + "64 8", + "Ġc leared", + "Ġclear ed", + "Ġcle ared", + "Ġ Push", + "ĠP ush", + "ĠPu sh", + "8 58", + "85 8", + "Ġp enis", + "Ġpe nis", + "Ġpen is", + "Struct ure", + "l ij", + "li j", + "ĠM organ", + "ĠMo rgan", + "ĠMor gan", + "ĠMorg an", + "Ġhand ful", + "\" .Ċ", + "\". Ċ", + "9 84", + "98 4", + "| \\", + "Ġ ********************************", + "Ġ**** ****************************", + "Ġ******** ************************", + "Ġ**************** ****************", + "Ġ************************ ********", + "Ġ Aqu", + "ĠA qu", + "5 84", + "58 4", + "_ IC", + "_I C", + ". loads", + ".load s", + ".lo ads", + "Ġ meter", + "Ġm eter", + "Ġme ter", + "Ġmet er", + "ĠM arine", + "ĠMar ine", + "ĠMa rine", + "ĠMari ne", + "ĠMarin e", + ": :{", + ":: {", + "Ġ TS", + "ĠT S", + "7 76", + "77 6", + "Ġ Arrays", + "ĠAr rays", + "ĠArray s", + "ĠArr ays", + ". Title", + ".T itle", + "G RAM", + "GR AM", + "GRA M", + "ter min", + "term in", + "Ġco inc", + "Ġcoin c", + "Ġcoi nc", + "E lse", + "El se", + "_ states", + "_st ates", + "_state s", + "_stat es", + "_sta tes", + "- run", + "-r un", + "m embers", + "member s", + "mem bers", + "7 82", + "78 2", + "a stro", + "as tro", + "ast ro", + "astr o", + "0 66", + "06 6", + "Ġon Press", + "Ġbe ings", + "Ġbeing s", + "Ġab andoned", + "Ġabandon ed", + "Ġtax p", + "Ġta xp", + "ow ners", + "own ers", + "owner s", + ". mode", + ".m ode", + ".mod e", + ".mo de", + "Ġdi agnosis", + "Ġdiagn osis", + "Ġdiag nosis", + "Ġ _Ċ", + "Ġ_ Ċ", + "Ġ Knight", + "ĠK night", + "ĠKn ight", + "ĉ A", + "Ġ observe", + "Ġob serve", + "Ġobs erve", + "Ġobserv e", + ") ,'", + "), '", + "8 23", + "82 3", + "! \")Ċ", + "!\" )Ċ", + "!\") Ċ", + "Ġ Para", + "ĠP ara", + "ĠPar a", + "ĠPa ra", + "Ġ variation", + "Ġvar iation", + "Ġvari ation", + "( False", + "(F alse", + "Ġ Anti", + "ĠAn ti", + "ĠAnt i", + "Ġg ri", + "Ġgr i", + "Ġhome less", + "Ġhom eless", + "? v", + "Ġb ez", + "Ġbe z", + ". Server", + ".S erver", + ".Serve r", + "r elease", + "re lease", + "rel ease", + "ĠP atri", + "ĠPat ri", + "ĠPa tri", + "Ġ chars", + "Ġch ars", + "Ġchar s", + "Ġcha rs", + "Ġ ranking", + "Ġr anking", + "Ġrank ing", + "Ġran king", + "act ivation", + "activ ation", + "5 81", + "58 1", + "Ġw ides", + "Ġwide s", + "Ġwid es", + "Ġwi des", + "q r", + ". Sql", + ".S ql", + "a cular", + "ac ular", + "acula r", + "Ġ Bot", + "ĠB ot", + "ĠBo t", + "_ sync", + "_s ync", + "_syn c", + "_sy nc", + "Ġh appiness", + "Ġhapp iness", + "Ġvol unteers", + "Ġvolunte ers", + "Ġvolunteer s", + "8 77", + "87 7", + "Ġs its", + "Ġsit s", + "Ġsi ts", + "/ <", + "[ e", + "( fileName", + "(file Name", + "Ġcap ac", + "Ġca pac", + "8 32", + "83 2", + "Ġ Maria", + "ĠM aria", + "ĠMar ia", + "ĠMa ria", + "ĠMari a", + "f ather", + "fa ther", + "fat her", + "Ġ gram", + "Ġg ram", + "Ġgr am", + "Ġgra m", + "* i", + "Ġc aso", + "Ġca so", + "Ġcas o", + "_ draw", + "_d raw", + "_dr aw", + "Ġ Raw", + "ĠR aw", + "ĠRa w", + "Ġ Iterator", + "ĠIt erator", + "ĠIter ator", + "6 64", + "66 4", + "Ġ Padding", + "ĠP adding", + "ĠPad ding", + "9 24", + "92 4", + "P D", + "B OX", + "BO X", + "ĠS PECIAL", + "ĠSPEC IAL", + "Ġ fecha", + "Ġf echa", + "Ġfe cha", + "Ġfec ha", + "Ġ vide", + "Ġv ide", + "Ġvi de", + "Ġvid e", + "Ġ Leader", + "ĠLe ader", + "ĠLead er", + "ä» ¥", + "$ (\".", + "$( \".", + "$(\" .", + "Ġd iameter", + "Ġdiam eter", + "Ġdia meter", + "Ġm ild", + "Ġmil d", + "Ġmi ld", + "7 45", + "74 5", + "Ġr ocks", + "Ġro cks", + "Ġrock s", + "Ġroc ks", + "app ings", + "apping s", + "0 48", + "04 8", + "d irectory", + "direct ory", + "director y", + "5 57", + "55 7", + ". flush", + ".f lush", + ".fl ush", + "Ġ Jess", + "ĠJ ess", + "ĠJes s", + "ĠJe ss", + "UN IT", + "Ġ Pear", + "ĠP ear", + "ĠPe ar", + "Ġ mandatory", + "Ġm andatory", + "Ġmand atory", + "S ur", + "Su r", + "q t", + "Ġ streams", + "Ġstream s", + "Ġstre ams", + "Ġco operation", + "Ġcooper ation", + "Ġcoop eration", + "Ġ Sac", + "ĠS ac", + "ĠSa c", + "Ġche aper", + "Ġcheap er", + "ĉ ch", + "ĉc h", + "an imation", + "anim ation", + "f are", + "fa re", + "far e", + "( height", + "(h eight", + "( True", + "N Y", + "Ġw rest", + "Ġwr est", + "Ġwre st", + "Ġp olls", + "Ġpol ls", + "Ġpoll s", + "Ġencounter ed", + "Ġencount ered", + "ĠMark etable", + "ĠMarket able", + "_ PASSWORD", + "_P ASSWORD", + "_PASS WORD", + "7 16", + "71 6", + "_ SELECT", + "_SE LECT", + "_SEL ECT", + "ĠArab ia", + "ĠAra bia", + "_ clock", + "_c lock", + "_cl ock", + "Ġ voy", + "Ġv oy", + "Ġvo y", + "Ġ из", + "Ġи з", + "Ġs tir", + "Ġst ir", + "is ible", + "isi ble", + "- effect", + "-e ffect", + "-eff ect", + ". created", + ".c reated", + ".create d", + ".cr eated", + "Ġto ys", + "Ġtoy s", + "ĠTrad able", + "Ġ rust", + "Ġr ust", + "Ġru st", + "Ġrus t", + "Ġ strcpy", + "Ġstr cpy", + "_ timestamp", + "_t imestamp", + "_time stamp", + "Ġtal ented", + "Ġtalent ed", + ", null", + ",n ull", + "Ġ Jobs", + "ĠJ obs", + "ĠJo bs", + "ĠJob s", + "Ġ Portland", + "ĠPort land", + "Ġweak ness", + "Th row", + "Thr ow", + "Ġ Angel", + "ĠAn gel", + "ĠAng el", + "ĠAnge l", + "ä¿ ®", + "7 54", + "75 4", + "Ġun cert", + "Ġunc ert", + "ï¼ī Ċ", + "Ġ ìĿ´", + "ĠìĿ ´", + "Wh ich", + "Ġ[- ]:", + "S omething", + "Some thing", + "Som ething", + "Ġconv icted", + "Ġconvict ed", + "k le", + "kl e", + "ed ium", + "edi um", + "Ġ branches", + "Ġbr anches", + "Ġbranch es", + "Ġbran ches", + "Ġ bases", + "Ġb ases", + "Ġbase s", + "Ġbas es", + "Ġba ses", + "ç ®", + "Ġcomplex ity", + "Ġ Fig", + "ĠF ig", + "ĠFi g", + ". reshape", + ".re shape", + ".res hape", + "$ db", + "$d b", + "7 36", + "73 6", + "_ CONST", + "_CON ST", + "_CO NST", + "Ġ Tes", + "ĠT es", + "ĠTe s", + ". runtime", + ".r untime", + ".run time", + "Ġ deny", + "Ġd eny", + "Ġde ny", + "Ġden y", + "Ġ BSD", + "ĠB SD", + "ĠBS D", + "Ġ kr", + "Ġk r", + "h att", + "ha tt", + "hat t", + "Ġ Static", + "ĠSt atic", + "ĠStat ic", + "ĠSta tic", + "Ġunivers ities", + "Re place", + "Rep lace", + "Ġd rove", + "Ġdr ove", + "Ġdro ve", + "Ġad oles", + "Ġado les", + "_ plugin", + "_pl ugin", + "ĠL GBT", + "ĠLG BT", + "Ġ tex", + "Ġt ex", + "Ġte x", + "d uction", + "du ction", + "duct ion", + "duc tion", + "7 51", + "75 1", + "7 99", + "79 9", + "E DI", + "ED I", + "Ġ Ted", + "ĠT ed", + "ĠTe d", + "_ URI", + "_U RI", + "Ġre ception", + "Ġrece ption", + "Ġrecept ion", + "Ġrecep tion", + "ar ten", + "art en", + "arte n", + ". Single", + ".S ingle", + ".Sin gle", + "r ice", + "ri ce", + "ric e", + "sc ious", + "sci ous", + "8 43", + "84 3", + "_ bg", + "_b g", + "Ġw ages", + "Ġwa ges", + "Ġwage s", + "Ġwag es", + "Ġ Servlet", + "ĠS ervlet", + "ĠServ let", + "UI Layout", + "UIL ayout", + "Ġ formatted", + "Ġform atted", + "Ġformat ted", + ". Mod", + ".M od", + "< class", + " ',Ċ", + ">' ,Ċ", + ">', Ċ", + "Ġexp anding", + "Ġexpand ing", + "Ġ Hamilton", + "ĠHam ilton", + "Ġ Contrib", + "ĠCon trib", + "ĠCont rib", + "ĠContr ib", + ". Tables", + ".T ables", + ".Tab les", + ".Table s", + "7 28", + "72 8", + "Act iv", + "Ac tiv", + "H H", + "o commerce", + "ocom merce", + "_ ;", + "Ġamong st", + "o wing", + "ow ing", + "owi ng", + "8 59", + "85 9", + "Ġ Cold", + "ĠC old", + "ĠCo ld", + "ĠCol d", + "A PH", + "AP H", + "Ġpsych ological", + "Ġpsycho logical", + "_ tensor", + "_t ensor", + "Ġpack aging", + "Ġ Sweden", + "ĠSw eden", + "ĠSwe den", + "Ġ pare", + "Ġp are", + "Ġpar e", + "Ġpa re", + "Ġ aggregate", + "Ġag gregate", + "Ġaggreg ate", + "Ġmod erate", + "Ġmode rate", + "Ġmoder ate", + "8 62", + "86 2", + "_ hand", + "_h and", + "Ġdesign ated", + "Ġdesignate d", + "Ġd rum", + "Ġdr um", + "Ġdru m", + "Ġ getUser", + "Ġget User", + "ĠC reek", + "ĠCre ek", + "ĠCree k", + "_ scope", + "_s cope", + "_sc ope", + "Ġ Transfer", + "ĠTrans fer", + "Ġ Marg", + "ĠM arg", + "ĠMar g", + "ĠMa rg", + "Ġ fighters", + "Ġfight ers", + "Ġfighter s", + "W nd", + "Ġ Sel", + "ĠS el", + "ĠSe l", + "Ġ Launch", + "ĠL aunch", + "ĠLa unch", + "Ġem erging", + "Ġemerg ing", + "i frame", + "if rame", + "ifr ame", + "Ġ Additional", + "ĠAdd itional", + "ĠAddition al", + "Ġf ears", + "Ġfe ars", + "Ġfear s", + "Ġsat ellite", + "_ :", + "Ġ disposing", + "Ġdis posing", + "Ġdisp osing", + "Ġdispos ing", + "Get Value", + "Http Post", + "AT IVE", + "ul ary", + "ular y", + "ula ry", + "View s", + "Vi ews", + "Ġatt ending", + "Ġattend ing", + "ĠT ennessee", + "Ġ Mission", + "ĠM ission", + "ĠMiss ion", + "Ġmed ication", + "Ġmedic ation", + "Ġmedi cation", + "Ġ Wy", + "ĠW y", + "Ġ Anna", + "ĠAn na", + "ĠAnn a", + "Ø ¹", + "Ġ Vertex", + "ĠVer tex", + "ĠVert ex", + ". types", + ".t ypes", + ".type s", + ".typ es", + "O rgan", + "Or gan", + "Org an", + ". DataGridViewTextBoxColumn", + ".DataGridView TextBoxColumn", + "Ġ RS", + "ĠR S", + "Ġt empo", + "Ġtem po", + "Ġtemp o", + "( App", + "(A pp", + "8 92", + "89 2", + "Version UID", + ". point", + ".p oint", + ".po int", + ".poi nt", + "ĠD utch", + "ĠDut ch", + "H ours", + "Hour s", + "Ho urs", + "L U", + "Ġ quoted", + "Ġqu oted", + "Ġquote d", + "Ġquot ed", + "Ġquo ted", + ". builder", + ".b uilder", + ".build er", + "Ġ Perfect", + "ĠPer fect", + "ĠPerf ect", + "Ġ Always", + "ĠAl ways", + "_ two", + "_t wo", + "_tw o", + "Ġexclusive ly", + "Ġexclus ively", + "ĠC ra", + "ĠCr a", + "ific ar", + "ifi car", + "ifica r", + "Ġ AWS", + "ĠA WS", + "ĠAW S", + "ing ham", + "com plex", + "comp lex", + "k ernel", + "ker nel", + "Ġ gravity", + "Ġgr avity", + "Ġgrav ity", + "Ġ wi", + "Ġw i", + "0 52", + "05 2", + "Ġ overview", + "Ġover view", + "Ġov erview", + "6 61", + "66 1", + "Ġ Want", + "ĠW ant", + "ĠWa nt", + "ĠWan t", + "Ġ WP", + "ĠW P", + "( sh", + "(s h", + ". rotation", + ".r otation", + ".rot ation", + "St ates", + "State s", + "Stat es", + "Ġ Teen", + "ĠT een", + "ĠTe en", + "ĠTee n", + "_ components", + "_com ponents", + "_comp onents", + "_component s", + "ì Īĺ", + "ìĪ ĺ", + "Re ceived", + "Receive d", + "Ġly rics", + "Ġlyric s", + "Ġlyr ics", + "r ites", + "ri tes", + "rit es", + "rite s", + "ĉ ĉĉĉĉĠ", + "ĉĉ ĉĉĉĠ", + "ĉĉĉĉ ĉĠ", + "ĉĉĉ ĉĉĠ", + "ĉĉĉĉĉ Ġ", + "- American", + "-A merican", + "-Americ an", + "[ num", + "[n um", + "/ python", + "/p ython", + "/py thon", + "Ġ UART", + "ĠU ART", + "ĠUA RT", + "Ġ apple", + "Ġapp le", + "Ġap ple", + "Ġappl e", + "Ġ Jonathan", + "ĠJon athan", + "Ġm omentum", + "Ġmoment um", + "ภ±", + "Ĥ ¹", + "Ġm ich", + "Ġmi ch", + "Ġmic h", + "an dra", + "and ra", + "andr a", + "Ġb iological", + "Ġbi ological", + "Ġbio logical", + "ĠM ens", + "ĠMe ns", + "ĠMen s", + "Ġ %%", + "Ġ% %", + "el sea", + "else a", + "els ea", + "ĠMex ican", + ".rand int", + "Ġt ale", + "Ġtal e", + "Ġta le", + "Ġ Validate", + "ĠValid ate", + "Ġdef eated", + "Ġdefe ated", + "Ġdefeat ed", + ". htm", + ".h tm", + ".ht m", + "Ġc opper", + "Ġco pper", + "Ġcop per", + "Ġcopp er", + "= /", + "co system", + "cos ystem", + "Ġ rip", + "Ġr ip", + "Ġri p", + "d ecimal", + "de cimal", + "dec imal", + ". VISIBLE", + ".V ISIBLE", + "Ġ Ta", + "ĠT a", + "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ", + "Ġdown loaded", + "Ġdownload ed", + "en vironment", + "Ġno mine", + "Ġnom ine", + "Ġnomin e", + "build ing", + "Ġ Spot", + "ĠS pot", + "ĠSp ot", + "ĠSpo t", + "ipher al", + "iph eral", + "Ġ alto", + "Ġal to", + "Ġalt o", + "q uet", + "qu et", + "que t", + "Ġ FT", + "ĠF T", + "/ get", + "/g et", + "/ge t", + "/ master", + "/m aster", + "W IN", + "WI N", + "åħ ĥ", + "6 76", + "67 6", + "W est", + "We st", + "ar gc", + "arg c", + "Ġpro ducers", + "Ġprodu cers", + "Ġproduce rs", + "Ġproducer s", + "Ġ Much", + "ĠM uch", + "ĠMu ch", + "_ storage", + "_st orage", + "c redit", + "cre dit", + "cr edit", + "cred it", + "C ONT", + "CON T", + "CO NT", + "Ġ vet", + "Ġv et", + "Ġve t", + "Ġ voices", + "Ġvo ices", + "Ġvoice s", + "Ġvoi ces", + "( '',", + "(' ',", + "Ġin struments", + "Ġinstr uments", + "Ġinstrument s", + "6 62", + "66 2", + "Ġ MSG", + "ĠM SG", + "ĠMS G", + "e sse", + "es se", + "ess e", + "re pository", + "repos itory", + "om ics", + "omic s", + "omi cs", + "Ġ dealer", + "Ġde aler", + "Ġdeal er", + "St ill", + "Ġ banner", + "Ġb anner", + "Ġban ner", + "asc ii", + "Ġ remarks", + "Ġre marks", + "Ġr emarks", + "Ġrem arks", + "Ġremark s", + "Ġremar ks", + "[ js", + "[j s", + "Ġshort er", + "g ulp", + "gu lp", + "Ġm yster", + "Ġmy ster", + "Ġmys ter", + "Ġmyst er", + "Ġk un", + "Ġku n", + "Ġ Bird", + "ĠB ird", + "ĠBi rd", + "ĠBir d", + "Ġt iene", + "Ġti ene", + "Ġtie ne", + "7 88", + "78 8", + "n ut", + "nu t", + "Ġ Um", + "ĠU m", + "Ġ wise", + "Ġw ise", + "Ġwis e", + "Ġwi se", + "Y eah", + "Ye ah", + "I NESS", + "IN ESS", + "INE SS", + "INES S", + "0 46", + "04 6", + "_ begin", + "_b egin", + "_be gin", + "_beg in", + "- heading", + "-head ing", + "-he ading", + "C ourse", + "Co urse", + "Cour se", + "Ġ čĊčĊ", + "ĠčĊ čĊ", + "om bie", + "omb ie", + "gr aded", + "grad ed", + "grade d", + "gra ded", + "Ġ GPS", + "ĠG PS", + "ĠGP S", + "Ġ że", + "Ġż e", + "F it", + "Fi t", + "c aption", + "ca ption", + "cap tion", + "capt ion", + "ö n", + "/ image", + "/i mage", + "/im age", + "l ia", + "li a", + "( mod", + "(m od", + "Ġle ak", + "en za", + "enz a", + "6 29", + "62 9", + "/ H", + "Ġ Happy", + "ĠH appy", + "ĠHa ppy", + "ĠHapp y", + "9 93", + "99 3", + "D ist", + "Dis t", + "Di st", + "n x", + "ĠGovern or", + "ĠGover nor", + "( last", + "(l ast", + "t eacher", + "te acher", + "tea cher", + "Ġ Sent", + "ĠS ent", + "ĠSe nt", + "ĠSen t", + "s upport", + "sup port", + "8 38", + "83 8", + "ject ory", + "Ġ Ùħ", + "ĠÙ ħ", + "Reg istration", + "Registr ation", + "0 63", + "06 3", + "Ġ Gray", + "ĠG ray", + "ĠGr ay", + "ĠGra y", + ", false", + ",f alse", + "Ġ adjusted", + "Ġadjust ed", + "Ġadj usted", + "( settings", + "(s ettings", + "(set tings", + "(setting s", + "< R", + "Ġ Mage", + "ĠM age", + "ĠMag e", + "ĠMa ge", + "Ġ plaint", + "Ġpl aint", + "Ġplain t", + "Ġpla int", + "_ )Ċ", + "_) Ċ", + "ĉ it", + "ĉi t", + "o metric", + "om etric", + "omet ric", + "ometr ic", + ". bootstrap", + ".boot strap", + "Ġcar ries", + "Ġcarr ies", + "I p", + "Ġ! $", + "Ġsw imming", + "Ġswim ming", + "Ġ Mario", + "ĠM ario", + "ĠMar io", + "ĠMa rio", + "ĠMari o", + "Ġ Questions", + "ĠQuest ions", + "ĠQuestion s", + "P ACE", + "PA CE", + "æĸ ¹", + "e or", + "eo r", + "} }\"", + "}} \"", + "Ġ oven", + "Ġo ven", + "Ġov en", + "Ġ Kon", + "ĠK on", + "ĠKo n", + "Ġwis dom", + "Ġac quisition", + "ess ment", + "ag ine", + "agi ne", + "Ġex pressions", + "Ġexpress ions", + "Ġexpression s", + "Ġexpr essions", + "Sequential Group", + "F ront", + "Fr ont", + "ul pt", + "ulp t", + "a wk", + "aw k", + "' ])ĊĊ", + "'] )ĊĊ", + "']) ĊĊ", + "'])Ċ Ċ", + "8 13", + "81 3", + "7 32", + "73 2", + "_ AR", + "_A R", + "Ġan alog", + "Ġanal og", + "Ġana log", + "u lin", + "ul in", + "uli n", + "_ PRINT", + "_PR INT", + "_PRI NT", + "Ġ LG", + "ĠL G", + "Ġ blob", + "Ġb lob", + "Ġbl ob", + "Ġblo b", + "Ġ Furthermore", + "ĠFurther more", + "_ component", + "_com ponent", + "_comp onent", + "Ġ Cole", + "ĠC ole", + "ĠCo le", + "ĠCol e", + "L AN", + "LA N", + "SC RIPTION", + "SCRI PTION", + "SCRIPT ION", + "Ġ lap", + "Ġl ap", + "Ġla p", + "ic ensing", + "icens ing", + "_TIME OUT", + "ĠF ro", + "ĠFr o", + "Ġl iability", + "Ġli ability", + "Ġ composed", + "Ġcom posed", + "Ġcomp osed", + "Ġcompose d", + "Ġcompos ed", + "6 34", + "63 4", + ".create SequentialGroup", + "_ person", + "_p erson", + "_per son", + "Ġ beam", + "Ġb eam", + "Ġbe am", + "ĉ ĠĠĠĠĠĠĠĠ", + "ĉĠĠĠ ĠĠĠĠĠ", + "ĉĠ ĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠ Ġ", + "ĉĠĠ ĠĠĠĠĠĠ", + "ĉĠĠĠĠĠ ĠĠĠ", + "ĉĠĠĠĠ ĠĠĠĠ", + "ĉĠĠĠĠĠĠ ĠĠ", + "Ġ NotFound", + "ĠNot Found", + "6 84", + "68 4", + ". 'Ċ", + ".' Ċ", + "ÃŃ s", + ". TextView", + ".T extView", + ".Text View", + "P DF", + "PD F", + "Ġ kar", + "Ġk ar", + "Ġka r", + "_ _('", + "__ ('", + "__( '", + "Ġ \":\"", + "Ġ\" :\"", + "Ġ\": \"", + "_ messages", + "_m essages", + "_message s", + "Ġhar vest", + ". history", + ".h istory", + ".hist ory", + "> 'Ċ", + ">' Ċ", + "- fold", + "-f old", + "æ Ĭ", + "Ġ Better", + "ĠB etter", + "ĠBet ter", + "ĠBett er", + "Ġ\" \\<", + "Ġ\"\\ <", + "sp acing", + "spa cing", + "Ġf urnished", + "Ġfurn ished", + "Ġfurnish ed", + "9 13", + "91 3", + "o ser", + "os er", + "ose r", + "] }Ċ", + "]} Ċ", + "Ġ $\"", + "Ġ$ \"", + "p ull", + "pu ll", + ". Post", + ".P ost", + ".Pos t", + "9 19", + "91 9", + "( ip", + "(i p", + "Ĺ ı", + ". front", + ".f ront", + ".fr ont", + "n te", + "nt e", + "Ġ FM", + "ĠF M", + "g uid", + "gu id", + "gui d", + "8 44", + "84 4", + "Ġnegot iations", + "Ġnegotiation s", + "ag onal", + "agon al", + "ago nal", + "9 34", + "93 4", + "Ġtrem end", + "ung eon", + "unge on", + "A dv", + "Ad v", + "car ousel", + "ÃŁ e", + "_ DESC", + "_D ESC", + "_DE SC", + "Ġ hammer", + "Ġh ammer", + "Ġham mer", + "Ġhamm er", + "ẠŃ", + "Ġ ĠĠĠĠĠĠĠĊĊ", + "ĠĠ ĠĠĠĠĠĠĊĊ", + "ĠĠĠĠ ĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠĠ ĊĊ", + "ĠĠĠ ĠĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠ ĠĊĊ", + "ĠĠĠĠĠ ĠĠĠĊĊ", + "ĠĠĠĠĠĠ ĠĠĊĊ", + "ĠĠĠĠĠĠĠĠĊ Ċ", + "- core", + "-c ore", + "-co re", + "-cor e", + "- service", + "-s ervice", + "-ser vice", + "Ġc orners", + "Ġcor ners", + "Ġcorner s", + "Ġcorn ers", + "Ġ SF", + "ĠS F", + "p red", + "pr ed", + "pre d", + "> A", + "ĠJ Label", + "ĠJL abel", + "Ġrom antic", + "Ġroman tic", + "Ġromant ic", + "Ġtest imony", + "Ġtestim ony", + "Ġtestimon y", + "o sc", + "os c", + "Ġ Generation", + "ĠG eneration", + "ĠGener ation", + "ĠGen eration", + "ĠGene ration", + "as ures", + "asure s", + "asu res", + "_ internal", + "_in ternal", + "_int ernal", + "_inter nal", + "Ġ prints", + "Ġpr ints", + "Ġprint s", + "Ġpri nts", + "Ġprin ts", + "Ġ ])Ċ", + "Ġ] )Ċ", + "Ġ]) Ċ", + "ĠC leveland", + "re po", + "rep o", + "D isc", + "Dis c", + "Di sc", + "6 77", + "67 7", + "7 62", + "76 2", + "Ġ \">Ċ", + "Ġ\" >Ċ", + "Ġ\"> Ċ", + "� ���", + "�� ��", + "��� �", + "Ġ nearest", + "Ġne arest", + "Ġnear est", + "5 91", + "59 1", + "_ tb", + "_t b", + "( require", + "(re quire", + "(req uire", + "E OF", + "EO F", + "- child", + "-ch ild", + "Ġb udd", + "Ġbu dd", + "Ġbud d", + ".Xtra Editors", + "al ties", + "alt ies", + "7 23", + "72 3", + "\\\" :\\\"", + "\\\": \\\"", + "W ords", + "Word s", + "9 17", + "91 7", + "Ġloc ally", + "Ġlocal ly", + "Ġp urchases", + "Ġpurch ases", + "Ġpurchase s", + "6 95", + "69 5", + "D rawer", + "Draw er", + "ex tract", + "ext ract", + "extra ct", + "extr act", + "Ġex ecut", + "Ġexec ut", + "Ġexe cut", + "} '.", + "}' .", + "user data", + "Ġfocus es", + "Ġfoc uses", + "- minute", + "-min ute", + "7 64", + "76 4", + "Ġ Publish", + "ĠP ublish", + "ĠPub lish", + "o go", + "og o", + "Ġm ountains", + "Ġmount ains", + "Ġmountain s", + "B ot", + "Bo t", + "} >{", + "}> {", + "Ġt ension", + "Ġtens ion", + "r od", + "ro d", + "m esh", + "me sh", + "mes h", + "Ġtrans formed", + "Ġtransform ed", + ", R", + "( )}Ċ", + "() }Ċ", + "()} Ċ", + ". long", + ".l ong", + ".lo ng", + ".lon g", + "Ġg orgeous", + "Ġgorge ous", + "Ġ Schedule", + "ĠS chedule", + "Ġold est", + "Ġol dest", + "Ġsub process", + "( IN", + "(I N", + "y ect", + "ye ct", + "ĠCo oper", + "ar ness", + "arn ess", + "Ġ Monitor", + "ĠM onitor", + "ĠMon itor", + ". part", + ".p art", + ".par t", + ".pa rt", + "9 72", + "97 2", + "Ġ NBC", + "ĠN BC", + "ĠNB C", + "6 68", + "66 8", + "Ġc otton", + "Ġcot ton", + "Ġcott on", + "Ġ hol", + "Ġh ol", + "Ġho l", + "7 26", + "72 6", + "Ġ rgba", + "Ġr gba", + "Ġrgb a", + "Ġrg ba", + "Ġ Bio", + "ĠB io", + "ĠBi o", + "Cont inue", + "Contin ue", + "P od", + "Po d", + "Ġparticip ating", + "cl usions", + "clus ions", + "clusion s", + "(By Val", + "7 34", + "73 4", + "à ¬", + "Ġ HOW", + "ĠH OW", + "ĠHO W", + "_set opt", + "Ġaccompany ing", + "0 91", + "09 1", + "a ton", + "at on", + "ato n", + "Ġ /\\", + "Ġ/ \\", + "Ġ Authentication", + "ĠAuth entication", + "ĠAuthentic ation", + "i én", + "ĠBar ack", + "ĠBa rack", + "/ *.", + "/* .", + "Ġe ager", + "Ġea ger", + "Ġeag er", + "Ġ Cancel", + "ĠC ancel", + "ĠCan cel", + "ĠCanc el", + "< lemma", + " $", + "O LEAN", + "OLE AN", + "OK IE", + "IB ILITY", + "U AGE", + "UA GE", + "Ġ Survey", + "ĠS urvey", + "ĠSur vey", + "ĠSurv ey", + "0 71", + "07 1", + "Ġre sign", + "Ġr esign", + "Ġres ign", + "w ing", + "win g", + "wi ng", + "Ġse crets", + "Ġsec rets", + "Ġsecret s", + "Ġsecre ts", + "Ġc hips", + "Ġch ips", + "Ġchip s", + "Ġchi ps", + "JSON Object", + "D esktop", + "Des ktop", + "Desk top", + "5 96", + "59 6", + "_SY MBOL", + "( resource", + "(res ource", + "(re source", + "Ġ< />Ċ", + "ĠĊ", + "Ġnew est", + "Ġne west", + "u li", + "ul i", + "Ġde sert", + "Ġdes ert", + "Ġdese rt", + "Ġdeser t", + "Ġd ip", + "Ġdi p", + "Ġ Pow", + "ĠP ow", + "ĠPo w", + "Ġequ ation", + "Ġeq uation", + "Ġposs ibilities", + "Ġpossibilit ies", + "Ġ Fed", + "ĠF ed", + "ĠFe d", + "os ph", + "osp h", + "Ġ [%", + "Ġ[ %", + "Ġ bubble", + "Ġb ubble", + "Ġbu bble", + "Ġbub ble", + "Ġbubb le", + "ether lands", + "7 93", + "79 3", + "Ġc ement", + "Ġce ment", + ". auto", + ".a uto", + ".au to", + ".aut o", + "_ AN", + "_A N", + "âĢĻ .", + "s election", + "se lection", + "select ion", + "sel ection", + "Ġ Bond", + "ĠB ond", + "ĠBo nd", + "ĠBon d", + "9 88", + "98 8", + "D en", + "De n", + "- O", + ". getType", + ".get Type", + "8 96", + "89 6", + ". Window", + ".W indow", + "p res", + "pr es", + "pre s", + "Ġsw inger", + "Ġswing er", + "\" })Ċ", + "\"} )Ċ", + "\"}) Ċ", + "Ġ pip", + "Ġp ip", + "Ġpi p", + "Ġm ice", + "Ġmi ce", + "Ġmic e", + "Ġ compound", + "Ġcomp ound", + "- plugin", + "-pl ugin", + "i ko", + "ik o", + "Ġcent uries", + "i cular", + "ic ular", + "- inline", + "-in line", + "ĉ key", + "ĉk ey", + "> \\<", + ">\\ <", + "EN SION", + "ENS ION", + "Ġ[ čĊ", + "Ġprecis ely", + "Ġprecise ly", + "Ġ été", + "Ġé té", + "Ġét é", + "Ġ Past", + "ĠP ast", + "ĠPa st", + "ĠPas t", + "ĠCam bridge", + "ĠCamb ridge", + "- full", + "-f ull", + "Ġ analyze", + "Ġan alyze", + "Ġanaly ze", + "Ġ Steven", + "ĠSt even", + "ĠSte ven", + "ĠSteve n", + "Ġ nem", + "Ġn em", + "Ġne m", + "d ue", + "du e", + "o ren", + "or en", + "ore n", + "Ġmus cles", + "Ġmuscle s", + "i jing", + "ij ing", + "iji ng", + "8 52", + "85 2", + "/ -", + "ĠKenn edy", + "5 97", + "59 7", + "R M", + "oss ible", + "Ġact ress", + "Ġd olor", + "Ġdo lor", + "Ġdol or", + "9 14", + "91 4", + "å½ ķ", + "N eed", + "Ne ed", + ". toggle", + ".t oggle", + "Ġ Race", + "ĠR ace", + "ĠRa ce", + "ĠRac e", + "w ers", + "we rs", + "wer s", + ". material", + ".m aterial", + ".mat erial", + "Ġ Due", + "ĠD ue", + "ĠDu e", + "Ġ Pel", + "ĠP el", + "ĠPe l", + "# print", + "Ġin dependence", + "Ġindepend ence", + "ex us", + "Sh adow", + "Ġ encoder", + "Ġe ncoder", + "Ġen coder", + "Ġenc oder", + "Ġencode r", + "( level", + "(le vel", + "Ġ Swift", + "ĠSw ift", + ". doc", + ".d oc", + ".do c", + "_ selection", + "_s election", + "_se lection", + "_select ion", + "_sel ection", + "9 52", + "95 2", + "Ġserial VersionUID", + "9 45", + "94 5", + "Label s", + "Lab els", + "Ġperform ances", + "Ġperformance s", + "Ġperforman ces", + ". Tag", + ".T ag", + "ĠN HL", + "ĠNH L", + "i zen", + "iz en", + "ize n", + "/ UIKit", + "/UI Kit", + "9 91", + "99 1", + "_ CONTROL", + "_CONT ROL", + "Ġe arnings", + "Ġear nings", + "Ġearn ings", + "Ġearning s", + "9 75", + "97 5", + "Ġ Alt", + "ĠA lt", + "ĠAl t", + "_ HANDLE", + "_H ANDLE", + "_HAND LE", + "C tx", + "Ġper su", + "Ġpers u", + "Ġ tran", + "Ġt ran", + "Ġtr an", + "Ġtra n", + "ç ¨", + "_ CHANNEL", + "_CH ANNEL", + "_CHAN NEL", + "Ġs atisfaction", + "Ġsatisf action", + "Ġ GP", + "ĠG P", + "7 69", + "76 9", + "i ox", + "io x", + "m itt", + "mit t", + "mi tt", + "l ando", + "land o", + "la ndo", + "lan do", + "Ġ pig", + "Ġp ig", + "Ġpi g", + "in als", + "inal s", + "ina ls", + "ê ncia", + "ên cia", + "7 31", + "73 1", + "S urface", + "Sur face", + "Ġ UUID", + "ĠU UID", + "Ġbenef icial", + "Ġbenefici al", + "Ġ sequences", + "Ġse quences", + "Ġsequence s", + "Ġsequ ences", + "ĉ memset", + "ĉmem set", + "Ġmag ical", + "Ġmagic al", + " «", + "Ġw orn", + "Ġwor n", + "Ġwo rn", + "A SC", + "AS C", + "p opup", + "pop up", + "C OMP", + "CO MP", + "COM P", + "_ before", + "_b efore", + "_be fore", + "e ness", + "en ess", + "ene ss", + "enes s", + "U i", + "L es", + "Le s", + ". require", + ".re quire", + ".req uire", + ". Serializable", + ".Serial izable", + "add Gap", + "Ġ authorization", + "Ġauthor ization", + "0 85", + "08 5", + ".py plot", + "u rray", + "ur ray", + "urr ay", + "l atitude", + "lat itude", + "8 45", + "84 5", + "f rames", + "fr ames", + "frame s", + "fra mes", + "fram es", + "a js", + "aj s", + "Ġ compass", + "Ġcom pass", + "Ġcomp ass", + "Ġ observations", + "Ġobs ervations", + "Ġobserv ations", + "Ġobservation s", + "_ sup", + "_s up", + "_su p", + ".en viron", + ".env iron", + "Ġtr iple", + "Ġtri ple", + "Ġtrip le", + "Ġ Ruby", + "ĠR uby", + "ĠRub y", + "ĠRu by", + "Ġd rain", + "Ġdr ain", + "Ġdra in", + "_ FILTER", + "_F ILTER", + "S an", + "Sa n", + "U MP", + "UM P", + "Null Exception", + "Ġ Gab", + "ĠG ab", + "ĠGa b", + "o we", + "ow e", + "ĠTur kish", + "ĠTurk ish", + "_ sequence", + "_se quence", + "Ġ Grant", + "ĠG rant", + "ĠGr ant", + "ĠGran t", + "ĠGra nt", + "u ela", + "ue la", + "uel a", + "Ġ wo", + "Ġw o", + "Ġ cube", + "Ġc ube", + "Ġcu be", + "Ġcub e", + "i q", + "Ġdis orders", + "Ġdisorder s", + "Ġextra ordinary", + "Ġextraordin ary", + "Ġ ctrl", + "Ġc trl", + "Ġct rl", + "Ġctr l", + "Ġ Seq", + "ĠS eq", + "ĠSe q", + "en tr", + "ent r", + "8 65", + "86 5", + "Ġsan ctions", + "Ġsanct ions", + "Ġsanction s", + "9 49", + "94 9", + "ut sch", + "uts ch", + "Re ports", + "Report s", + "Rep orts", + "Repo rts", + "Ġ inherit", + "Ġin herit", + "Ġinher it", + "P eriod", + "Per iod", + "Ġphot ography", + "Ġphotograph y", + "Ġ Framework", + "ĠF ramework", + "ĠFr amework", + "ĠFrame work", + "ĠFram ework", + "Ġspecial ist", + "Ġspeci alist", + "Ġ ?ĊĊ", + "Ġ? ĊĊ", + "Ġ?Ċ Ċ", + "_ selected", + "_se lected", + "_select ed", + "_sel ected", + ". Player", + ".P layer", + ".Pl ayer", + ".Play er", + "Ġ allocation", + "Ġal location", + "Ġall ocation", + "Ġalloc ation", + "Ġallo cation", + "( account", + "(a ccount", + "(ac count", + "(acc ount", + "Ġ structural", + "Ġstruct ural", + "v able", + "va ble", + "- offset", + "-off set", + "-o ffset", + "-offs et", + ".App CompatActivity", + "а м", + "аР¼", + ".Add WithValue", + "Ġ icons", + "Ġi cons", + "Ġicon s", + "Ġic ons", + "Ġ shutdown", + "Ġsh utdown", + "Ġshut down", + "_ low", + "_l ow", + "_lo w", + "Ġ Compare", + "ĠCom pare", + "ĠComp are", + "ĠCompar e", + "Ġ Ce", + "ĠC e", + "= head", + "=h ead", + "l am", + "la m", + ". predict", + ".p redict", + ".pre dict", + ".pred ict", + "_ DEC", + "_D EC", + "_DE C", + "Ġ Sleep", + "ĠS leep", + "ĠSlee p", + "ĠSle ep", + "Ġ Gratis", + "ĠGr atis", + "ĠGrat is", + "Ġs uggestion", + "Ġsuggest ion", + "Ġ DEL", + "ĠD EL", + "ĠDE L", + "c aff", + "ca ff", + "caf f", + "av irus", + "avi rus", + "avir us", + "No thing", + "ŀ ĭ", + "Ġwide spread", + "Ġwides pread", + "Ġmechan isms", + "Ġmechanism s", + "Ġ textAlign", + "Ġtext Align", + "oc cup", + "occ up", + "Ġ Rail", + "ĠR ail", + "ĠRa il", + "ĠRai l", + ": NS", + ":N S", + "Ġ fiber", + "Ġf iber", + "Ġfi ber", + "Ġfib er", + "Ġ mk", + "Ġm k", + "Ġv intage", + "- long", + "-l ong", + "-lo ng", + ". reduce", + ".re duce", + ".red uce", + ". Entities", + ".Ent ities", + "( record", + "(re cord", + "(rec ord", + "Ġ pleasant", + "Ġple asant", + "Ġpleas ant", + "F RING", + "FR ING", + ". Cells", + ".C ells", + ".Cell s", + "O TT", + "OT T", + "ĉ elseif", + "ĉelse if", + "6 49", + "64 9", + "7 24", + "72 4", + "_ confirm", + "_con firm", + "_conf irm", + "ĠView Group", + "s ym", + "sy m", + "Ġ pray", + "Ġp ray", + "Ġpr ay", + "Ġpra y", + "Ġsus pected", + "Ġsusp ected", + "Ġsuspect ed", + "Cont ains", + "Con tains", + "Contain s", + "Conta ins", + "9 83", + "98 3", + "Ġb orders", + "Ġborder s", + "Ġbor ders", + "Ġbord ers", + "Ġcomponent Did", + "A SSERT", + "ASS ERT", + "Ġin finite", + "Ġinf inite", + "Ġinfinit e", + "- order", + "-or der", + "Ġ hello", + "Ġh ello", + "Ġhel lo", + "Ġhell o", + "Ġ Grade", + "ĠG rade", + "ĠGr ade", + "ĠGrad e", + "ĠGra de", + ".currentTime Millis", + "ap olis", + "apol is", + "apo lis", + "z h", + "ĉ Object", + "ĉO bject", + ": \\\\", + ":\\ \\", + "H O", + "val uation", + "valu ation", + "Ġ vocab", + "Ġv ocab", + "Ġvo cab", + "Ġvoc ab", + "7 19", + "71 9", + "Ġ coupon", + "Ġc oupon", + "Ġco upon", + "Ġcou pon", + "Ġcoup on", + "ata bases", + "atab ases", + "atabase s", + ". GetType", + ".Get Type", + "L earn", + "Le arn", + "7 92", + "79 2", + "] =\"", + "]= \"", + "Ġ Gary", + "ĠG ary", + "ĠGar y", + "ĠGa ry", + "ot ive", + "oti ve", + "Ġ ash", + "Ġa sh", + "Ġas h", + "Ġ bib", + "Ġb ib", + "Ġbi b", + "X XXX", + "XX XX", + "XXX X", + "Ġ balanced", + "Ġbalance d", + "Ġbal anced", + "VAL UE", + "Ġ Nat", + "ĠN at", + "ĠNa t", + "_ Ad", + "_A d", + "< E", + "åĮ º", + "Ġ MethodInfo", + "ĠMethod Info", + "8 97", + "89 7", + "L IB", + "LI B", + "Ġconsider able", + "Ġconsid erable", + "Ġ Industry", + "ĠInd ustry", + "ĠIndust ry", + "t ests", + "te sts", + "test s", + "tes ts", + ". setTitle", + ".set Title", + "Ġ Bluetooth", + "ĠB luetooth", + "ĠBl uetooth", + "ĠBlu etooth", + "Ġ mapped", + "Ġm apped", + "Ġmap ped", + "Ġma pped", + "Ġ Bruce", + "ĠBr uce", + "ĠBru ce", + "Ġ MainWindow", + "ĠMain Window", + "ĉ status", + "ĉs tatus", + "ĉst atus", + "ĉstat us", + "Ġ raz", + "Ġr az", + "Ġra z", + "ĠM and", + "ĠMan d", + "ĠMa nd", + "Ġ classification", + "Ġclass ification", + "Per missions", + "Permission s", + "Perm issions", + "9 69", + "96 9", + "Ġ ----------------------------------------------------------------------------", + "Ġ---------------------------------------------------------------- ------------", + "Ġ------------------------------------------------ ----------------------------", + "Ġ------------ ----------------------------------------------------------------", + "Ġ------ ----------------------------------------------------------------------", + "Ġ------------------------------------------------------------ ----------------", + "Ġ------------------------------------------------------------------------- ---", + "Ġ containers", + "Ġcont ainers", + "Ġcontainer s", + "Ġcontain ers", + "Ġconta iners", + ": set", + ":s et", + "_ xml", + "_x ml", + "Ġwh ilst", + "Th rough", + "Thr ough", + "Ġv align", + "Ġval ign", + "Ġworld s", + "Ġwor lds", + "C ORD", + "CO RD", + "COR D", + "ED IA", + "EDI A", + "ÑĢ ов", + "ÑĢо в", + "Ġs pare", + "Ġsp are", + "Ġspa re", + "Ġspar e", + "Ġ Had", + "ĠH ad", + "ĠHa d", + "Ġ DEF", + "ĠD EF", + "ĠDE F", + "( ptr", + "(p tr", + "(pt r", + "Ġw arming", + "Ġwar ming", + "Ġwarm ing", + "8 98", + "89 8", + "ठ¾", + "Ġcons ensus", + "a gne", + "ag ne", + "agn e", + "C TL", + "CT L", + "Ġ ìķ", + "Ġì ķ", + ". Main", + ".M ain", + ".Ma in", + "web Element", + "Ġp ist", + "Ġpi st", + "Ġpis t", + "F lash", + "Fl ash", + "App end", + "Ap pend", + "Appe nd", + ".tw img", + "T ap", + "Ta p", + "Ġveget ables", + "Ġvegetable s", + "a lg", + "al g", + "0 58", + "05 8", + ". sample", + ".s ample", + ".sam ple", + "Ġco aching", + "Ġcoach ing", + "( ind", + "(i nd", + "(in d", + "Cell Value", + "Check Box", + "Ġ Hell", + "ĠH ell", + "ĠHe ll", + "ĠHel l", + "R OOT", + "RO OT", + "7 96", + "79 6", + "Ġst adium", + "Ġstad ium", + "Ġinvestig ating", + ") %", + "s ted", + "st ed", + "ste d", + "9 65", + "96 5", + "Ġ Writing", + "ĠW riting", + "ĠWr iting", + "Ġ ê²", + "Ġê ²", + "Ġ uno", + "Ġu no", + "Ġun o", + "Ġ {{--", + "Ġ{{ --", + "Ġ coords", + "Ġco ords", + "Ġcoord s", + "Ġun ser", + "Ġuns er", + "o rganization", + "organ ization", + "Ġ Crime", + "ĠCr ime", + "ĠCri me", + "ĠDem ocrat", + "ĠDemocr at", + "5 79", + "57 9", + "Ġ vin", + "Ġv in", + "Ġvi n", + "/ file", + "/f ile", + "0 78", + "07 8", + "- api", + "-a pi", + "-ap i", + "Ġ Ay", + "ĠA y", + "Ġf unded", + "Ġfun ded", + "Ġfund ed", + "ĠBr exit", + "ĠBre xit", + "ĠG h", + "ent ina", + "enti na", + "entin a", + "c ases", + "ca ses", + "case s", + "cas es", + "Ġ dash", + "Ġd ash", + "Ġda sh", + "Ġdas h", + "Ġ!! }Ċ", + "Ġ!!} Ċ", + "H I", + "Off ice", + "Ġcap tain", + "Ġcapt ain", + "Ġwor ship", + "Ġwors hip", + "Ġworsh ip", + "\\ C", + "7 33", + "73 3", + "8 51", + "85 1", + "Ġg lobe", + "Ġgl obe", + "Ġglob e", + "Ġglo be", + "_ board", + "_b oard", + "_bo ard", + "Ġb abies", + "Ġba bies", + "Ġbab ies", + "8 76", + "87 6", + "Ġcon secutive", + "Ġconsec utive", + "Ġenh anced", + "Ġenhance d", + "er eum", + "ere um", + "ĠAd vis", + "ĠAdv is", + "Ġg rain", + "Ġgr ain", + "Ġgra in", + "7 71", + "77 1", + "Ġc raw", + "Ġcr aw", + "Ġcra w", + "ancell ationToken", + "ancellation Token", + ". alpha", + ".al pha", + "_ WITH", + "_W ITH", + "ĠO tt", + "ĠOt t", + "Ġ Cool", + "ĠC ool", + "ĠCo ol", + ". batch", + ".b atch", + ".bat ch", + "Ġ verified", + "Ġver ified", + "( callback", + "(c allback", + "(call back", + "Ġreg ards", + "Ġregard s", + "6 83", + "68 3", + "Ġ IntPtr", + "ĠInt Ptr", + "o ucher", + "ou cher", + "ouch er", + "Ġ kin", + "Ġk in", + "Ġki n", + "Ġt ouched", + "Ġtouch ed", + "Ġtou ched", + "it Ãł", + "a thon", + "at hon", + "ath on", + "Ġadj acent", + "Ġaccom panied", + "L EAR", + "LE AR", + "Ġim plies", + "Ġimp lies", + "Ġimpl ies", + "Ġ hill", + "Ġh ill", + "Ġhi ll", + "Ġhil l", + "ĠB altimore", + "ĠBalt imore", + "= \"-", + "=\" -", + "F inally", + "Fin ally", + "Final ly", + "8 83", + "88 3", + "S am", + "Sa m", + "ic opt", + "ico pt", + "Ġs od", + "Ġso d", + "Ġ maj", + "Ġm aj", + "Ġma j", + "Ġ Shipping", + "ĠSh ipping", + "ĠShip ping", + "ĠShi pping", + "Ġ getAll", + "Ġget All", + "Ġco aches", + "Ġcoach es", + "Ġdon ations", + "Ġdonation s", + "i lot", + "il ot", + "ilo t", + "Ġ Tar", + "ĠT ar", + "ĠTa r", + "c err", + "ce rr", + "cer r", + "Ġ badge", + "Ġb adge", + "Ġbad ge", + "Ġba dge", + "Ġ markers", + "Ġm arkers", + "Ġmark ers", + "Ġmar kers", + "Ġmarker s", + "Ġ Rand", + "ĠR and", + "ĠRa nd", + "ĠRan d", + "a ised", + "ai sed", + "ais ed", + "aise d", + "iss ance", + "issa nce", + "issan ce", + "Ġexpl oring", + "Ġexplo ring", + "Ġexplor ing", + "8 27", + "82 7", + "u ced", + "uc ed", + "uce d", + "ĠInd onesia", + "ĠIndones ia", + "ĠIndo nesia", + "Ġbe neath", + "Ġbene ath", + "Ġm agnetic", + "Ġmagn etic", + "Ġmagnet ic", + "Ġm useum", + "Ġmus eum", + "Ġmuse um", + "match Condition", + "Ġdis rupt", + "Ġre mind", + "Ġrem ind", + "Ġremin d", + "Ġ TM", + "ĠT M", + "Ġ /><", + "Ġ/ ><", + "Ġ/> <", + "Ġf ool", + "Ġfo ol", + "Ġfoo l", + "Ġ esk", + "Ġe sk", + "Ġes k", + ". Null", + ".N ull", + "Ġ Dies", + "ĠD ies", + "ĠDi es", + "ĠDie s", + "_ OUTPUT", + "_OUT PUT", + "_TYPE D", + "_TYP ED", + "Ġp ainted", + "Ġpaint ed", + "Ġpain ted", + "6 73", + "67 3", + "7 35", + "73 5", + "Ġsoph istic", + "Ġ Bear", + "ĠB ear", + "ĠBe ar", + "ĠBea r", + "* n", + "_ PACK", + "_P ACK", + "_PA CK", + "Ġdel ivering", + "Ġdeliver ing", + "Ġ COUNT", + "ĠC OUNT", + "ĠCO UNT", + "åį ķ", + "Ġj eg", + "Ġje g", + "- car", + "-c ar", + "-ca r", + "f name", + "fn ame", + "Ġr anging", + "Ġran ging", + "Ġrang ing", + "8 48", + "84 8", + "Ġ Neg", + "ĠN eg", + "ĠNe g", + "/ ******/", + "Ġ CHAR", + "ĠCH AR", + "Ġu ltra", + "Ġult ra", + "Ġul tra", + "Ġultr a", + "G rad", + "Gr ad", + "= t", + "Ġjud ges", + "Ġjudge s", + "ĠD ise", + "ĠDis e", + "ĠDi se", + "an ners", + "ann ers", + "anner s", + "anne rs", + "9 85", + "98 5", + "8 91", + "89 1", + "8 61", + "86 1", + "Ġ scal", + "Ġs cal", + "Ġsc al", + "Ġsca l", + "_ cal", + "_c al", + "_ca l", + "ĠCON NECTION", + "ĠCONNECT ION", + "_ embed", + "_em bed", + "_emb ed", + "( fn", + "(f n", + "Ġ Craft", + "ĠC raft", + "ĠCr aft", + "ĠCra ft", + "0 47", + "04 7", + "Ġ Pas", + "ĠP as", + "ĠPa s", + "\" )->", + "\") ->", + ". convert", + ".con vert", + ".conv ert", + ". resource", + ".re source", + ".res ource", + "Ġ STATUS", + "ĠST ATUS", + "ĠSTAT US", + "ô ng", + "ôn g", + "Ġ Tit", + "ĠT it", + "ĠTi t", + "Ġclass room", + "ĠArch itect", + "ĠK ings", + "ĠKing s", + "ĠKin gs", + "Ġ steady", + "Ġste ady", + "Ġstead y", + "/* !Ċ", + "/*! Ċ", + "Ġ Gene", + "ĠG ene", + "ĠGe ne", + "ĠGen e", + ") \";Ċ", + ")\" ;Ċ", + "i cia", + "ic ia", + "ici a", + "s tan", + "st an", + "sta n", + "Ġ Construction", + "ĠCon struction", + "ĠConstruct ion", + "ĠConstr uction", + "um per", + "ump er", + "9 51", + "95 1", + "w c", + "Ġ CBS", + "ĠC BS", + "ĠCB S", + "in ging", + "ing ing", + "- party", + "-p arty", + "-part y", + "-par ty", + "( driver", + "(d river", + "(dr iver", + "M ARK", + "MA RK", + "MAR K", + "0 82", + "08 2", + "Ġ nested", + "Ġn ested", + "Ġne sted", + "Ġnest ed", + "Ġneste d", + "Ġnes ted", + "e ward", + "ew ard", + "Ġ dependency", + "Ġd ependency", + "Ġdep endency", + "Ġdepend ency", + "Ġm ales", + "Ġma les", + "Ġmale s", + "Ġmal es", + "9 28", + "92 8", + "Ġ ONE", + "ĠO NE", + "ĠON E", + "Ġ Production", + "ĠP roduction", + "ĠPro duction", + "ĠProduct ion", + "ĠProdu ction", + "ĠProd uction", + "] [$", + "][ $", + "ãĥ¼ ãĥ", + "_ LOAD", + "_L OAD", + "_LO AD", + "ĠB ol", + "ĠBo l", + "el ry", + "8 31", + "83 1", + "ł éĻ¤", + "Ġ Require", + "ĠRe quire", + "ĠReq uire", + "Ġ placing", + "Ġpl acing", + "Ġplac ing", + "Ġpla cing", + "x xx", + "xx x", + "C ALE", + "CA LE", + "CAL E", + "Ġ thumb", + "Ġth umb", + "Ġthu mb", + "8 24", + "82 4", + "Ch oose", + "Cho ose", + "Ġ prototype", + "Ġprot otype", + "Ġproto type", + "V OID", + "VO ID", + "Ġles bian", + "Ġlesb ian", + "Ġlesbi an", + "7 41", + "74 1", + "Ġ traits", + "Ġt raits", + "Ġtr aits", + "Ġtra its", + "Ġtrait s", + "Ġtrai ts", + "Sh arp", + "Shar p", + "Sha rp", + "Ġ consume", + "Ġcon sume", + "Ġcons ume", + "Ġconsum e", + "Tr uth", + "Ġaction Performed", + "Ġ Environmental", + "ĠEnvironment al", + "Ġ Dean", + "ĠD ean", + "ĠDe an", + "Ġ estado", + "Ġest ado", + "Ġesta do", + "Ġestad o", + "s ame", + "sa me", + "sam e", + "Ġ numeric", + "Ġn umeric", + "Ġnum eric", + "Ġnumer ic", + "Ġnu meric", + "Ġtrans it", + "Ġtran sit", + ". Email", + ".E mail", + "- side", + "-s ide", + "_ RUN", + "_R UN", + "ĠV illage", + "ĠVill age", + "ĠVilla ge", + "ĠVil lage", + "_ OPEN", + "_OP EN", + "è ¦", + ". rem", + ".re m", + ".r em", + "- warning", + "-w arning", + "-war ning", + "a nya", + "an ya", + "any a", + "Property Changed", + "Ġ (!_", + "Ġ(! _", + "( check", + "(c heck", + "(ch eck", + "i lia", + "il ia", + "ili a", + "Ġ Soft", + "ĠS oft", + "ĠSo ft", + "ĠSof t", + "st eps", + "ste ps", + "step s", + "ĠMad rid", + "Memory Warning", + "Ġ handlers", + "Ġhand lers", + "Ġhandle rs", + "Ġhandler s", + "Ġexperi encing", + "Ġ inspect", + "Ġin spect", + "Ġins pect", + "Ġinsp ect", + "button s", + "but tons", + "butt ons", + "Receive MemoryWarning", + "ch emy", + "che my", + "chem y", + "L inks", + "Link s", + "Lin ks", + "Ġurl lib", + "Ġur llib", + ".System Colors", + "Ġ Eigen", + "ĠE igen", + "ĠEig en", + "Ġpun ishment", + "Ġpunish ment", + ":UI Control", + "b ara", + "bar a", + "ba ra", + "- set", + "-s et", + "-se t", + "Ġ }čĊčĊčĊ", + "Ġ} čĊčĊčĊ", + "Ġ}čĊ čĊčĊ", + "Ġ}čĊčĊ čĊ", + "Ġt olerance", + "Ġtoler ance", + "Ġ interfaces", + "Ġinter faces", + "Ġinterface s", + "Ġinterf aces", + ". redirect", + ".re direct", + ".red irect", + "ighb ors", + "ighbor s", + "cs rf", + "csr f", + "_ background", + "_back ground", + ". Utils", + ".Util s", + "_ HT", + "_H T", + "6 92", + "69 2", + "Ġ Interest", + "ĠInter est", + "i mos", + "im os", + "imo s", + "Ġgr ants", + "Ġgrant s", + "Ġgran ts", + "Ġgra nts", + "0 83", + "08 3", + "Ġexam ined", + "Ġexamine d", + "Ð Ķ", + "Ġ cf", + "Ġc f", + "f orge", + "for ge", + "forg e", + "b acks", + "back s", + "ba cks", + "bac ks", + "Ġ Objects", + "ĠObject s", + "ĠObj ects", + "_ sent", + "_s ent", + "_se nt", + ". entry", + ".en try", + ".ent ry", + "Ġ THEN", + "ĠT HEN", + "ĠTHE N", + "ĠTH EN", + "ell ido", + "elli do", + "c ia", + "ci a", + ", res", + ",r es", + ",re s", + "6 59", + "65 9", + "6 81", + "68 1", + "/st dc", + "/std c", + ". nd", + ".n d", + "( Int", + "(I nt", + "(In t", + "Ġ Authors", + "ĠAuthor s", + "ĠAuth ors", + "ĠApp CompatActivity", + "' {", + "Ġ medi", + "Ġm edi", + "Ġme di", + "Ġmed i", + "M usic", + "Mu sic", + "Mus ic", + "i gm", + "ig m", + "ce ipt", + "Ġ auss", + "Ġa uss", + "Ġau ss", + "Ġaus s", + "Ġtarget ing", + "Ġtarg eting", + "Ġ Keys", + "ĠKey s", + "ĠKe ys", + "h n", + ": ]Ċ", + ":] Ċ", + "Ġmin eral", + "Ġmine ral", + "Ġminer al", + "à ®", + ". ca", + ".c a", + "7 61", + "76 1", + "o med", + "om ed", + "ome d", + "Ġ sheets", + "Ġs heets", + "Ġshe ets", + "Ġsheet s", + "Ġc amb", + "Ġca mb", + "Ġcam b", + "Ġdead ly", + ". inject", + ".in ject", + "( unit", + "(u nit", + "(un it", + "Ġ Selection", + "ĠS election", + "ĠSe lection", + "ĠSelect ion", + "ĠSel ection", + "ĠSele ction", + ".g ms", + "( connection", + "(con nection", + "(conn ection", + "(connect ion", + "Ġ $(\"", + "Ġ$ (\"", + "Ġ$( \"", + "é mon", + "ém on", + "Ġ Currently", + "ĠCurrent ly", + "p te", + "pt e", + "_ paths", + "_p aths", + "_path s", + "_pa ths", + "_pat hs", + "8 47", + "84 7", + "le af", + "lea f", + "Ġimp lications", + "Ġimpl ications", + "Ġimplication s", + "Ġimplic ations", + "p osal", + "pos al", + "po sal", + "ä½ į", + "[ /", + "a ncia", + "an cia", + "anc ia", + "é Ľ", + "m ul", + "mu l", + "c ie", + "ci e", + "Ġge ile", + "Ġgeil e", + "6 79", + "67 9", + "im als", + "imal s", + "ima ls", + "UI View", + "Ġs urre", + "Ġsur re", + "s erialize", + "serial ize", + "I SO", + "IS O", + "Ġar bitrary", + "Ġarbit rary", + "Ġarbitr ary", + "Ġsock addr", + ". fn", + ".f n", + "Ġ Merc", + "ĠM erc", + "ĠMe rc", + "ĠMer c", + "Ġ casting", + "Ġc asting", + "Ġcas ting", + "Ġcast ing", + "Key Down", + "Ġ newValue", + "Ġnew Value", + "ĠnewVal ue", + "op ens", + "open s", + "ope ns", + "7 17", + "71 7", + "T odo", + "To do", + "Ġflex ibility", + "ĉ ĉĉĉĠĠ", + "ĉĉ ĉĉĠĠ", + "ĉĉĉĉ ĠĠ", + "ĉĉĉ ĉĠĠ", + "ĉĉĉĉĠ Ġ", + "V elocity", + "Vel ocity", + "ú n", + "r owing", + "ro wing", + "row ing", + "Ġ computed", + "Ġcom puted", + "Ġcomp uted", + "Ġcomput ed", + "Ġcompute d", + "` )Ċ", + "`) Ċ", + "st atement", + "state ment", + "stat ement", + "sta tement", + "Ġ ri", + "Ġr i", + "_ cart", + "_c art", + "_car t", + "_ca rt", + "L ow", + "Lo w", + "trans fer", + ". nav", + ".n av", + "Ġ grave", + "Ġgr ave", + "Ġgra ve", + "Ġgrav e", + "Ġ Door", + "ĠD oor", + "ĠDo or", + "ĉ alert", + "ĉal ert", + "6 91", + "69 1", + "6 98", + "69 8", + ". subscribe", + ".sub scribe", + "- profile", + "-pro file", + "-pr ofile", + "-prof ile", + "ĉ base", + "ĉb ase", + "Ġ âĪĴ", + "ĠâĪ Ĵ", + "_ _ĊĊ", + "__ ĊĊ", + "__Ċ Ċ", + "Ġengine ers", + "Ġengineer s", + "Ġexp losion", + "Ġexplos ion", + "Ġd ari", + "Ġda ri", + "Ġdar i", + "6 82", + "68 2", + "ĉ Log", + "ĉL og", + "o nal", + "on al", + "ona l", + "Ġis olated", + "Ġisol ated", + "Ġiso lated", + "Ġisolate d", + "{ i", + "Ġ Msg", + "ĠM sg", + "ĠMs g", + "F uture", + "Fu ture", + "Ġr acist", + "Ġrac ist", + "- wrap", + "-w rap", + "Ġ Vers", + "ĠV ers", + "ĠVer s", + "ĠVe rs", + "b org", + "bo rg", + "bor g", + "I SION", + "IS ION", + "Ġ ÑĢаÐ", + "ĠÑĢ аÐ", + "ĠÑĢа Ð", + "ĠY an", + "ĠYa n", + "8 36", + "83 6", + "init With", + "Ġn omin", + "Ġno min", + "Ġnom in", + "( empty", + "(em pty", + "(emp ty", + "ÃŃ n", + "ã Ĥ¤", + "ãĤ ¤", + "ĉ width", + "ĉw idth", + "Ġch amber", + "Ġcham ber", + "/ ajax", + "/a jax", + "E MP", + "EM P", + "0 93", + "09 3", + "Ġne ces", + "Ġnec es", + "i vos", + "iv os", + "ivo s", + "log ic", + "* )&", + "*) &", + "cri pts", + "cript s", + "9 76", + "97 6", + "Row At", + "0 53", + "05 3", + "i blings", + "ib lings", + "ibling s", + "Ġ ears", + "Ġe ars", + "Ġear s", + "Ġea rs", + "Ġcomp uting", + "Ġcomput ing", + "Ġ maker", + "Ġm aker", + "Ġmake r", + "Ġma ker", + "Ġmak er", + "Ġ Neither", + "ĠN either", + "ĠNe ither", + "b readcrumb", + "Ġ serialize", + "Ġs erialize", + "Ġserial ize", + "Ġ Within", + "ĠWith in", + "ĠWi thin", + "ĠWit hin", + "Ġd ell", + "Ġde ll", + "Ġdel l", + "_ TRACE", + "_TR ACE", + "_TRA CE", + "0 92", + "09 2", + "= a", + "Ġw ishes", + "Ġwish es", + "Ġwis hes", + "- inch", + "-in ch", + "-inc h", + "ĠD or", + "ĠDo r", + "Ġinnoc ent", + "ĠD ol", + "ĠDo l", + "Ġint ens", + "Ġinte ns", + "for ced", + "force d", + "forc ed", + "0 54", + "05 4", + "Ġ BIT", + "ĠB IT", + "ĠBI T", + "Ġphot ographs", + "Ġphoto graphs", + "Ġphotograph s", + "Ġc asa", + "Ġca sa", + "Ġcas a", + "Ġ Len", + "ĠL en", + "ĠLe n", + "\\ Framework", + "\\F ramework", + ". Simple", + ".S imple", + "Ġd ear", + "Ġde ar", + "8 95", + "89 5", + ") /(", + ")/ (", + "ip pi", + "ipp i", + "Ġ owns", + "Ġown s", + "Ġow ns", + "P layers", + "Pl ayers", + "Player s", + "Play ers", + "Ġprop osals", + "Ġpropos als", + "Ġproposal s", + ". pi", + ".p i", + "us alem", + "usa lem", + "usal em", + "D amage", + "Da mage", + "Dam age", + "Ġcal ories", + "Ġcalorie s", + "Ġcalor ies", + "Ġ Creative", + "ĠC reative", + "ĠCre ative", + "ĠCreat ive", + "Ġ [$", + "Ġ[ $", + "Ġ //čĊ", + "Ġ// čĊ", + "Ġ/ /čĊ", + "7 86", + "78 6", + "And View", + "è me", + "èm e", + ". custom", + ".c ustom", + "_ factory", + "_f actory", + "_factor y", + "_fact ory", + "comm ands", + "command s", + "comma nds", + "_ look", + "_l ook", + "_lo ok", + "Ġ strcmp", + "Ġstr cmp", + "Y N", + "a ired", + "air ed", + "ai red", + "aire d", + "Ġ audit", + "Ġa udit", + "Ġaud it", + "Ġau dit", + "Ġaudi t", + "о ÑģÑĤ", + "оÑģ ÑĤ", + "Ġ Reverse", + "ĠRe verse", + "ĠRev erse", + "ĠRever se", + "ropri ate", + "e tics", + "et ics", + "etic s", + "eti cs", + "< vector", + "';Ċ", + "\"> ';Ċ", + "\">' ;Ċ", + "Ġpe pper", + "Ġpepp er", + "Ġpep per", + "9 89", + "98 9", + "Ġ shed", + "Ġs hed", + "Ġsh ed", + "Ġshe d", + "Ġ Medium", + "ĠM edium", + "ĠMed ium", + "ĠMedi um", + "Ġ Cookie", + "ĠC ookie", + "ĠCo okie", + "ĠCook ie", + "8 89", + "88 9", + "Ġoverse as", + "ed or", + "edo r", + "as urement", + "asure ment", + "asu rement", + "7 66", + "76 6", + "åŃ ĺ", + "Ġ' .'", + "Ġ'. '", + "Ġ php", + "Ġp hp", + "Ġph p", + "Ġ PROC", + "ĠP ROC", + "ĠPRO C", + "ĠPR OC", + "Ġexcept ional", + "Ġexception al", + "( th", + "(t h", + "Ġ Jet", + "ĠJ et", + "ĠJe t", + "Ġ occupied", + "Ġoccup ied", + ". setImage", + ".set Image", + "Ġ Related", + "ĠRe lated", + "ĠRel ated", + "u cker", + "uc ker", + "uck er", + "M embers", + "Member s", + "Mem bers", + "PR INT", + "PRI NT", + "ĠG lo", + "ĠGl o", + "_ VIEW", + "_V IEW", + "} \",Ċ", + "}\", Ċ", + "}\" ,Ċ", + "Ġad option", + "Ġadopt ion", + "Ġado ption", + "[ ])Ċ", + "[] )Ċ", + "[]) Ċ", + "8 42", + "84 2", + "ĠMiss ouri", + "ĠLin coln", + "er ald", + "era ld", + "eral d", + "P opup", + "Pop up", + "Ġf ate", + "Ġfa te", + "Ġfat e", + "- bootstrap", + "-boot strap", + "f ections", + "fe ctions", + "fect ions", + "fection s", + "Ġ Poll", + "ĠP oll", + "ĠPol l", + "ĠPo ll", + "_ ARGS", + "_ARG S", + "_AR GS", + "in ance", + "ina nce", + "inan ce", + "6 97", + "69 7", + "- home", + "-h ome", + ". ),", + ".) ,", + "_ done", + "_d one", + "_do ne", + "_don e", + "6 94", + "69 4", + ": ĊĊĊ", + ":Ċ ĊĊ", + ":ĊĊ Ċ", + "Ġdiscuss ing", + "Ġ SQLException", + "ĠSQL Exception", + "Ġelect ro", + "Ġelectr o", + "ĉ req", + "ĉr eq", + "ĉre q", + "Ġ zw", + "Ġz w", + "8 86", + "88 6", + "Ġl ui", + "Ġlu i", + "9 32", + "93 2", + "Ġover night", + "$ user", + "Ġ WAY", + "ĠW AY", + "ĠWA Y", + "Ġall erg", + "Ġalle rg", + "Ġaller g", + "Ġdis appointed", + "Ġdisappoint ed", + "Ġrad iation", + "Ġradi ation", + "Ġim pressed", + "Ġimp ressed", + "Ġimpress ed", + "Ġimpr essed", + "Ġimpres sed", + "if icates", + "ific ates", + "ificate s", + "ifica tes", + "Ġt ob", + "Ġto b", + "CL ASS", + "CLA SS", + "Ġ cuda", + "Ġc uda", + "Ġcu da", + "Ġcud a", + "_ det", + "_d et", + "_de t", + "- post", + "-p ost", + "-pos t", + "-po st", + "u lu", + "ul u", + "Trans lation", + "- hand", + "-h and", + ". year", + ".y ear", + "Ġ Mongo", + "ĠM ongo", + "ĠMon go", + "ĠMo ngo", + "ĠMong o", + "Ġun clear", + "Ġunc lear", + "Ġuncle ar", + ". engine", + ".e ngine", + ".eng ine", + "WEB PACK", + "r ices", + "ri ces", + "ric es", + "rice s", + "_ ACCESS", + "_AC CESS", + "_ACC ESS", + "Ġh olidays", + "Ġholiday s", + "per cent", + "perc ent", + ". Identity", + ".Id entity", + "Ġ Gov", + "ĠG ov", + "ĠGo v", + "Ġpass ionate", + "Ġpassion ate", + "! !.", + "!! .", + "ĠG reece", + "ĠGre ece", + "ĠGree ce", + "plus plus", + "' ));", + "') );", + "')) ;", + "G P", + "Ġex cit", + "Ġexc it", + ".tab Page", + "_ cond", + "_c ond", + "_con d", + "_co nd", + "Ġ sponsor", + "Ġs ponsor", + "Ġspons or", + "M ODULE", + "MOD ULE", + "_ proc", + "_p roc", + "_pro c", + "_pr oc", + "Ġ $Ċ", + "Ġ$ Ċ", + "Ġr ational", + "Ġrat ional", + "Ġratio nal", + "Ġration al", + ". Tool", + ".T ool", + ".To ol", + "Ġi hr", + "Ġih r", + "c ca", + "cc a", + "åĵ ģ", + "ĠE state", + "ĠEst ate", + "ĠEsta te", + "IB UTE", + "IBUT E", + "Action Performed", + "Ġ Solar", + "ĠS olar", + "ĠSo lar", + "ĠSol ar", + "¦ Ĥ", + "Ġequ ity", + "Ġeq uity", + "t id", + "ti d", + "9 38", + "93 8", + "Ġre cip", + "Ġrec ip", + ". simple", + ".s imple", + ".sim ple", + "m k", + "6 89", + "68 9", + "Ġ Luke", + "ĠL uke", + "ĠLu ke", + "ĠLuk e", + "ĠGuard ian", + "Ġ encrypted", + "Ġenc rypted", + "Ġencrypt ed", + "Ġdom inant", + "Ġdomin ant", + "Ġdomina nt", + ". place", + ".p lace", + ".pl ace", + "Ġ NV", + "ĠN V", + "8 39", + "83 9", + "Ġton gue", + "Ġtong ue", + "( Get", + "(G et", + "Ġst ainless", + "Ġstain less", + ". Play", + ".P lay", + ".Pl ay", + "Ġ eb", + "Ġe b", + "a ci", + "ac i", + ". buffer", + ".b uffer", + ".buf fer", + "readcr umbs", + "readcrumb s", + "Ġv accine", + "Ġvacc ine", + "p rom", + "pr om", + "pro m", + "9 79", + "97 9", + "Ġ userInfo", + "Ġuser Info", + "Ġ slug", + "Ġs lug", + "Ġsl ug", + "Ġslu g", + "Serial izedName", + "Serialized Name", + "- wide", + "-w ide", + "Ġre actions", + "Ġreaction s", + "Ġreact ions", + "Ġ Yang", + "ĠY ang", + "ĠYan g", + "ĠYa ng", + "Ġ Adds", + "ĠA dds", + "ĠAd ds", + "ĠAdd s", + "( userId", + "(user Id", + "Ġ plates", + "Ġp lates", + "Ġpl ates", + "Ġplate s", + "Ġpla tes", + "Ġplat es", + "Ġ MEM", + "ĠM EM", + "ĠME M", + "Ġb ail", + "Ġba il", + "In side", + "Ins ide", + "e ted", + "et ed", + "ete d", + "Ġ elsif", + "Ġels if", + "Ġs ake", + "Ġsa ke", + "Ġsak e", + "Ġ cycles", + "Ġc ycles", + "Ġcy cles", + "Ġcycle s", + "Ġcycl es", + "Ġcyc les", + "Ġ ìĹ", + "Ġì Ĺ", + "ĉ I", + "- collapse", + "-c ollapse", + "8 41", + "84 1", + "Ġ GMT", + "ĠG MT", + "ĠGM T", + "8 14", + "81 4", + "De claration", + "Ġg ros", + "Ġgr os", + "Ġgro s", + "Ġre aches", + "Ġreach es", + "Ġcust ody", + "Un til", + "Unt il", + "7 53", + "75 3", + "8 56", + "85 6", + "t u", + "ĠC hen", + "ĠCh en", + "ĠChe n", + "Ġ nx", + "Ġn x", + "( addr", + "(add r", + "(ad dr", + "Ġ Offer", + "ĠO ffer", + "ĠOff er", + "ĠOf fer", + "Ġcol leg", + "Ġcoll eg", + "Ġcolle g", + "ass ador", + "6 74", + "67 4", + "Ġ mapper", + "Ġm apper", + "Ġmap per", + "Ġma pper", + "8 54", + "85 4", + "ĠS IGNAL", + "ĠSIG NAL", + "ĠSIGN AL", + "ĠB loom", + "ĠBl oom", + "ĠBlo om", + "ĠH oll", + "ĠHol l", + "ĠHo ll", + "ĠIm per", + "ĠImp er", + "- des", + "-d es", + "-de s", + "_ site", + "_s ite", + "_si te", + "P roc", + "Pro c", + "Pr oc", + "E qu", + "Eq u", + "Ġ atomic", + "Ġat omic", + "Ġatom ic", + "Ġ Woman", + "ĠW oman", + "ĠWo man", + "s ent", + "se nt", + "sen t", + "7 38", + "73 8", + "8 17", + "81 7", + "s car", + "sc ar", + "Ġint elligent", + "Ġintellig ent", + "Ġ Getting", + "ĠG etting", + "ĠGet ting", + "Ġ Registration", + "ĠReg istration", + "ĠRegistr ation", + "Ġ Phill", + "ĠP hill", + "ĠPh ill", + "ĠPhil l", + "ĠPhi ll", + "Ġ killer", + "Ġk iller", + "Ġkill er", + "Ġkil ler", + "Ġki ller", + "un icode", + "unic ode", + "uni code", + "Ċ ĉĉĊ", + "Ġ Jacob", + "ĠJ acob", + "ĠJac ob", + "ĠJa cob", + "Ġ Const", + "ĠCon st", + "ĠCo nst", + "ĠCons t", + "Ġ locate", + "Ġl ocate", + "Ġlo cate", + "Ġloc ate", + "Ġc aus", + "Ġca us", + "7 49", + "74 9", + "ĠSch olar", + "ĠScho lar", + "Ġ constitutional", + "Ġconstitution al", + "Ġin flation", + "Ġinf lation", + "Ġinfl ation", + "Ġ Got", + "ĠG ot", + "ĠGo t", + "= array", + "=a rray", + "en dum", + "end um", + "Ġ translated", + "Ġtrans lated", + "Ġtransl ated", + "Ġtranslate d", + "Ġdiv orce", + "Ġdivor ce", + "En tries", + "Ent ries", + "Entr ies", + "Ġs or", + "Ġso r", + "Ġ Quote", + "ĠQu ote", + "ir lines", + "irl ines", + "U K", + "Ġ excel", + "Ġex cel", + "Ġexc el", + "Ġexce l", + "( opt", + "(o pt", + "(op t", + "Ġ ADV", + "ĠA DV", + "ĠAD V", + ", :,", + ",: ,", + "Ġcont acted", + "Ġcontact ed", + "7 42", + "74 2", + "Ġ DA", + "ĠD A", + "Ġr ings", + "Ġring s", + "Ġrin gs", + "Ġ Industrial", + "ĠInd ustrial", + "ĠIndust rial", + ". getContext", + ".get Context", + "Ġforg otten", + "Ġforgot ten", + "Ġ Tan", + "ĠT an", + "ĠTa n", + "Ġ pants", + "Ġp ants", + "Ġpa nts", + "Ġpan ts", + "Ġpant s", + "Ġ ov", + "Ġo v", + "Ġ decoder", + "Ġde coder", + "Ġdec oder", + "Ġdecode r", + "Ġdeco der", + "Ġ Partial", + "ĠP artial", + "ĠPart ial", + "ĠParti al", + "Ġ vc", + "Ġv c", + "Ġb attles", + "Ġbattle s", + "Ġbatt les", + "A rial", + "Ar ial", + "FRING EMENT", + "i rates", + "ir ates", + "ira tes", + "irate s", + ", w", + "aint enance", + "Ġ Od", + "ĠO d", + "ĠTechn ologies", + "åī į", + "ĠC arter", + "ĠCar ter", + "ĠCart er", + ". findAll", + ".find All", + "N ome", + "No me", + "Nom e", + "B en", + "Be n", + "Ġ Usage", + "ĠU sage", + "ĠUs age", + "ĠUsa ge", + "Ġ Picture", + "ĠP icture", + "ĠPic ture", + "Ġbad ly", + "_ panel", + "_p anel", + "_pa nel", + "_pan el", + "Ġpat ent", + "Ġpa tent", + "Ġ Protocol", + "ĠProt ocol", + "ĠProto col", + "l otte", + "lo tte", + "lot te", + "ĉ player", + "ĉp layer", + "ĉpl ayer", + "ĉplay er", + "j ections", + "ject ions", + "je ctions", + "jection s", + "7 46", + "74 6", + "Ġ dou", + "Ġd ou", + "Ġdo u", + "_ release", + "_re lease", + "_r elease", + "_rel ease", + "urn iture", + "_ tax", + "_t ax", + "_ta x", + "Ġ Fields", + "ĠF ields", + "ĠField s", + ". dataset", + ".d ataset", + ".data set", + ".dat aset", + ".datas et", + "_ master", + "_m aster", + "_ma ster", + "_mas ter", + "CLUD E", + "CLU DE", + "ĠPh arm", + "ĠPhar m", + "b st", + "bs t", + "Ġoper ational", + "Ġoperation al", + ". cell", + ".c ell", + ".ce ll", + "Ġident ifying", + "Ġidentify ing", + "Ġ jwt", + "Ġj wt", + "t uple", + "tu ple", + "Ġ TC", + "ĠT C", + "Ġ Cro", + "ĠC ro", + "ĠCr o", + "9 36", + "93 6", + "ix map", + "- components", + "-com ponents", + "-component s", + "-comp onents", + "g eneral", + "gen eral", + "gener al", + "gene ral", + "Ġ oz", + "Ġo z", + "_ De", + "_D e", + "_ double", + "_d ouble", + "_do uble", + "Ġ Too", + "ĠT oo", + "ĠTo o", + "0 88", + "08 8", + ".View Group", + "8 79", + "87 9", + "g ate", + "ga te", + "d ings", + "ding s", + "din gs", + "ph otos", + "photo s", + "phot os", + "Ġgr ande", + "Ġgrand e", + "Ġgran de", + "Ġgra nde", + "ol lect", + "oll ect", + "olle ct", + "_ lin", + "_l in", + "_li n", + "Ġaw ful", + "f ilters", + "filter s", + "fil ters", + "filt ers", + "Ġ alternate", + "Ġaltern ate", + "e sp", + "es p", + "Ġ compress", + "Ġcom press", + "Ġcomp ress", + "Ġcompr ess", + "e o", + "Ġ Scale", + "ĠS cale", + "ĠSc ale", + "ĠScal e", + "Ġin direct", + "Ġind irect", + "Ġindir ect", + "Ġ invoice", + "Ġin voice", + "Ġinv oice", + "Ġinvo ice", + "ĊĊ ĊĊĊĊĊĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊ ĊĊĊĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊ", + "ĊĊĊĊĊ ĊĊĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊĊĊĊĊ ĊĊĊĊ", + "ĊĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊĊĊĊĊĊĊ ĊĊ", + "ĊĊĊĊĊĊĊĊĊĊĊ ĊĊĊĊĊ", + "Start ing", + "Star ting", + "Ġ Players", + "ĠP layers", + "ĠPl ayers", + "ĠPlay ers", + "ĠPlayer s", + "ĠPla yers", + "i ele", + "ie le", + "iel e", + ". then", + ".t hen", + ".th en", + ".the n", + "9 81", + "98 1", + "O rd", + "Or d", + "Ġ Tuple", + "ĠT uple", + "ĠTu ple", + "ĠTup le", + "Ġ bout", + "Ġb out", + "Ġbo ut", + "Ġbou t", + "Ġ Statistics", + "ĠStat istics", + "P review", + "Pr eview", + "Pre view", + "Prev iew", + "Ġp uzzle", + "Ġpu zzle", + "Ġpuzz le", + "Ġ Width", + "ĠW idth", + "ĠWid th", + "ST ATE", + "STAT E", + "STA TE", + "Ġ overlay", + "Ġover lay", + "Ġoverl ay", + "ĉ on", + "ĉo n", + "Ġin fr", + "Ġinf r", + "Ġsm allest", + "Ġsmall est", + "l ocked", + "lock ed", + "loc ked", + "ÑĤ о", + "s sl", + "ss l", + "7 79", + "77 9", + "Ġde emed", + "Ġdee med", + "Ġdeem ed", + "Ġs co", + "Ġsc o", + "r eck", + "re ck", + "rec k", + "Ġj Button", + "Ġ missions", + "Ġm issions", + "Ġmiss ions", + "Ġmission s", + "8 71", + "87 1", + "ç§ °", + ".Selected Index", + "T ABLE", + "TA BLE", + "TAB LE", + "S ept", + "Se pt", + "Sep t", + "Ġac knowledge", + "Ġack nowledge", + "Ġacknow ledge", + "Ġacknowled ge", + "Ġ strtotime", + "Ġstrt otime", + "Ġ Tell", + "ĠT ell", + "ĠTe ll", + "ĠTel l", + "ĠD ak", + "ĠDa k", + "Ġal uminum", + "Ġf ence", + "Ġfe nce", + "Ġfen ce", + "Ġ Stars", + "ĠSt ars", + "ĠStar s", + "ĠSta rs", + "CON FIG", + "CONF IG", + "Ġr etrofit", + "Ġretro fit", + "Ġ emphasis", + "Ġem phasis", + "Ġemph asis", + "Ġemphas is", + "/ header", + "/head er", + "/he ader", + "Ġ Something", + "ĠS omething", + "ĠSome thing", + "ĠSom ething", + "in ished", + "ini shed", + "inish ed", + "inis hed", + "=' \".$", + "='\" .$", + "='\". $", + "Ġ Validators", + "ĠValid ators", + "ĠValidator s", + "Ġp olar", + "Ġpol ar", + "Ġpo lar", + "s ections", + "se ctions", + "section s", + "sect ions", + "9 44", + "94 4", + ".as px", + ".asp x", + "Ġa spir", + "Ġas pir", + "Ġasp ir", + ". Mock", + ".M ock", + "Code Gen", + "Ġp eut", + "Ġpe ut", + "Ġpeu t", + "9 71", + "97 1", + "Ġaccept ing", + "Ġb acking", + "Ġback ing", + "Ġbac king", + "P icture", + "Pic ture", + "/ ap", + "/a p", + "е г", + "еР³", + "_ SEC", + "_S EC", + "_SE C", + "- use", + "-us e", + "-u se", + "an notation", + "ann otation", + "annot ation", + "Ġc ognitive", + "Ġcogn itive", + "Ġg rip", + "Ġgr ip", + "Ġgri p", + "h our", + "ho ur", + "hou r", + "Ġ Legal", + "ĠL egal", + "ĠLe gal", + "ĠLeg al", + "Ġe pic", + "Ġep ic", + ". toolStrip", + ".t oolStrip", + ".tool Strip", + ". notify", + ".n otify", + ".not ify", + ". Last", + ".L ast", + "OR IZ", + "M iddleware", + "Middle ware", + "cri ptions", + "cript ions", + "cription s", + "l ash", + "la sh", + "las h", + "_ FOUND", + "_F OUND", + "Ġ Liverpool", + "ĠLiver pool", + "Ġ {}\",", + "Ġ{ }\",", + "Ġ{} \",", + "9 31", + "93 1", + "Inst all", + "Ġ nit", + "Ġn it", + "Ġni t", + "Ġfig ured", + "Ġfigure d", + "Ġfigur ed", + "[ len", + "[l en", + ". Win", + ".W in", + ". platform", + ".pl atform", + "8 53", + "85 3", + "Ġgam bling", + "Ġgamb ling", + "( dt", + "(d t", + "a very", + "av ery", + "ave ry", + "aver y", + "ĉ include", + "ĉin clude", + "Wh ether", + "R outing", + "Ro uting", + "Ġth erap", + "Ġthe rap", + "Ġther ap", + "Rem ote", + "Ġ Loss", + "ĠL oss", + "ĠLo ss", + "ĠLos s", + "y ll", + "yl l", + "Ġappro ached", + "Ġapproach ed", + "Ġ Vehicle", + "ĠV ehicle", + "Ġ Alpha", + "ĠAl pha", + "Ġv ocê", + "Ġvoc ê", + "an swers", + "ans wers", + "answer s", + "NS Dictionary", + "9 54", + "95 4", + "cons ider", + "un used", + "unu sed", + "Ġ Fan", + "ĠF an", + "ĠFa n", + "or able", + "ora ble", + "f re", + "fr e", + "8 73", + "87 3", + "ĠDIS CLAIM", + "Ġ Actor", + "ĠA ctor", + "ĠAct or", + "ĠAc tor", + ". ]", + "to Have", + ". userId", + ".user Id", + "Ġspe eds", + "Ġspeed s", + "e way", + "ew ay", + "Ġrec urs", + "Ġrecur s", + "Ġ г", + "ĠÐ ³", + "_ priv", + "_p riv", + "_pr iv", + "_pri v", + "! âĢĿĊĊ", + "!âĢĿ ĊĊ", + "Ch oice", + "Cho ice", + "Ġs ettle", + "Ġset tle", + "Ġsett le", + "Ġ planes", + "Ġpl anes", + "Ġplan es", + "Ġplane s", + "Ġpla nes", + "' },", + "'} ,", + "T om", + "To m", + "I TER", + "IT ER", + "ITE R", + "! \"Ċ", + "!\" Ċ", + "å »", + "ach elor", + "ache lor", + "achel or", + "Ġse paration", + "Ġsepar ation", + "Ġseparat ion", + "Ġ dal", + "Ġd al", + "Ġda l", + "a dj", + "ad j", + "Ġ registers", + "Ġreg isters", + "Ġregister s", + "Ġregist ers", + "r iz", + "ri z", + "Ġ Notice", + "ĠNot ice", + "Ġ lu", + "Ġl u", + "Ġc ourage", + "Ġcour age", + "Ġcou rage", + "Ġ axes", + "Ġa xes", + "Ġax es", + "Ġaxe s", + "cell ent", + ". async", + ".as ync", + ".a sync", + "0 73", + "07 3", + "Ġcom patibility", + "Ġcompat ibility", + "ç «", + "Ġ !ĊĊ", + "Ġ! ĊĊ", + "Ġ!Ċ Ċ", + "ĉ title", + "ĉt itle", + "ĉti tle", + "Y LE", + "YL E", + "ĉ message", + "ĉm essage", + "U UID", + "UU ID", + "OL DER", + "OLD ER", + "Ġ HH", + "ĠH H", + "Ġ StyleSheet", + "ĠStyle Sheet", + "Ġacc essed", + "Ġaccess ed", + "Ġacces sed", + ". validation", + ".valid ation", + "t asks", + "task s", + "tas ks", + "Ġpoll ution", + "Ġpollut ion", + ". canvas", + ".c anvas", + ".can vas", + "Ġ ingredient", + "Ġing redient", + "ĠC abin", + "ĠCa bin", + "ĠCab in", + "A h", + "ol down", + "old own", + "ĠN OI", + "ĠNO I", + "Ġ ÃĹ", + "Ġà Ĺ", + "[ f", + "e duc", + "ed uc", + "edu c", + "y alty", + "yal ty", + "( not", + "(n ot", + "(no t", + "_ State", + "_St ate", + "9 33", + "93 3", + "a men", + "am en", + "ame n", + "7 95", + "79 5", + "7 39", + "73 9", + "Ġ dao", + "Ġd ao", + "Ġda o", + "u dad", + "ud ad", + "uda d", + "el lers", + "ell ers", + "elle rs", + "eller s", + "} &", + "l icity", + "lic ity", + "li city", + "licit y", + "_ WINDOW", + "_W INDOW", + "Ġt atto", + "Ġtat to", + "val or", + "va lor", + ". Range", + ".R ange", + "Ġreference d", + "Ġrefer enced", + "ĠRe serve", + "ĠRes erve", + "M oney", + "Mon ey", + "Mo ney", + "8 74", + "87 4", + "SC RIPT", + "SCRI PT", + "/ product", + "/pro duct", + "cho ices", + "choice s", + "Ġ tin", + "Ġt in", + "Ġti n", + "ãĤ ĵ", + "9 18", + "91 8", + "Ġ separator", + "Ġs eparator", + "Ġse parator", + "Ġsepar ator", + "Ġseparat or", + "Ġ pkg", + "Ġp kg", + "Ġpk g", + "am med", + "amm ed", + "Ġ MAT", + "ĠM AT", + "ĠMA T", + "! !ĊĊ", + "!! ĊĊ", + "!!Ċ Ċ", + "Ġ raid", + "Ġr aid", + "Ġra id", + "Ġmot ivation", + "Ġmotiv ation", + "Ġ XP", + "ĠX P", + "Ġ Background", + "ĠBack ground", + "Ġ Quaternion", + "ĠQu aternion", + ".define Property", + "i ker", + "ik er", + "ike r", + "ĉ parent", + "ĉp arent", + "Ġ Originally", + "ĠOrigin ally", + "ĠOriginal ly", + "ĠOrig inally", + "ant age", + "anta ge", + "ĠH ans", + "ĠHa ns", + "ĠHan s", + "Ġ timeline", + "Ġt imeline", + "Ġtime line", + "Ġtim eline", + ". cur", + ".c ur", + "o pic", + "op ic", + "opi c", + "ĠS equ", + "ĠSe qu", + "ĠSeq u", + "m ust", + "mu st", + "mus t", + "Ġ Coal", + "ĠCo al", + "Ġ formatter", + "Ġfor matter", + "Ġform atter", + "Ġformat ter", + "_ RGB", + "_R GB", + "_RG B", + "Ġ _(\"", + "Ġ_ (\"", + "Ġ_( \"", + "' }),Ċ", + "'} ),Ċ", + "'}) ,Ċ", + "Ġ= ================", + "Ġ== ===============", + "Ġ=== ==============", + "Ġ===== ============", + "Ġ==== =============", + "Ġ========== =======", + "Ġ======= ==========", + "Ġ FUNCTION", + "ĠF UNCTION", + "ĠFUN CTION", + "ĠFUNC TION", + "ĠFUNCT ION", + "Ġ lng", + "Ġl ng", + "Ġln g", + "ic ates", + "ica tes", + "icate s", + "l ive", + "li ve", + "liv e", + "_ engine", + "_e ngine", + "_eng ine", + "Ġt owns", + "Ġtown s", + "Ġtow ns", + "8 68", + "86 8", + "' ))ĊĊ", + "') )ĊĊ", + "')) ĊĊ", + "'))Ċ Ċ", + "Ġ PK", + "ĠP K", + "( api", + "(a pi", + "(ap i", + "ĉ scanf", + "ĉs canf", + "0 89", + "08 9", + "p acket", + "pack et", + "pa cket", + "pac ket", + ". phone", + ".p hone", + ".ph one", + "á Ģ", + "Ġ Andy", + "ĠAn dy", + "ĠAnd y", + "_N AMES", + "_NAME S", + "9 82", + "98 2", + "P LY", + "PL Y", + "9 55", + "95 5", + "Ġ mins", + "Ġm ins", + "Ġmin s", + "Ġmi ns", + "i mi", + "im i", + "Ġ brick", + "Ġb rick", + "Ġbr ick", + "Ġbri ck", + "Ġ blade", + "Ġbl ade", + "Ġbla de", + ". stdout", + ".std out", + "} `;Ċ", + "}` ;Ċ", + "S hift", + "Sh ift", + "ĉ sb", + "ĉs b", + "Ġ Checks", + "ĠCheck s", + "ĠChe cks", + "Ġphenomen on", + "Av atar", + "Ġmin istry", + "Ġmini stry", + "Ġminist ry", + "r ose", + "ro se", + "ros e", + "ĉ File", + "ĉF ile", + "8 78", + "87 8", + "Ġt itled", + "Ġtitle d", + "Ġtit led", + "( LOG", + "(L OG", + "Ġ gan", + "Ġg an", + "Ġga n", + "d esign", + "de sign", + "des ign", + "( ),čĊ", + "() ,čĊ", + "(), čĊ", + "Ġ bones", + "Ġb ones", + "Ġbo nes", + "Ġbon es", + "Ġbone s", + "s tm", + "st m", + "ÅĽ Äĩ", + "Ġ InputStream", + "ĠInput Stream", + "Ġvol unt", + "Ġ Serializable", + "ĠSerial izable", + "Ġ fighter", + "Ġf ighter", + "Ġfight er", + "Ġ Drag", + "ĠD rag", + "ĠDr ag", + "ĠDra g", + "T witter", + "Tw itter", + "Ġsub sid", + "Ġsubs id", + "ç ¼", + "Ġ forums", + "Ġfor ums", + "Ġforum s", + ". loading", + ".load ing", + ".lo ading", + "log ged", + "logg ed", + "_ this", + "_t his", + "_th is", + "Ġ terrain", + "Ġter rain", + "Ġterr ain", + "Ġterra in", + "Ġir re", + "Ġirr e", + "Ġ Ing", + "ĠI ng", + "ĠIn g", + "Ġ CN", + "ĠC N", + "_ objects", + "_object s", + "_obj ects", + ". uid", + ".ui d", + ".u id", + "Ġconscious ness", + "T INGS", + "TING S", + "ĠG all", + "ĠGal l", + "ĠGa ll", + "Ġport ray", + "0 56", + "05 6", + "Ġ Developer", + "ĠDe veloper", + "ĠDevelop er", + "Ġ participant", + "Ġpart icipant", + "Ġparticip ant", + "Ġ \";čĊ", + "Ġ\" ;čĊ", + "Ġ\"; čĊ", + "/ model", + "/m odel", + "/mod el", + "7 94", + "79 4", + "Ġ Operations", + "ĠOper ations", + "ĠOperation s", + "^ \\", + "Ġ Later", + "ĠL ater", + "ĠLa ter", + "ĠLat er", + "ĠLate r", + "Ġ raises", + "Ġr aises", + "Ġraise s", + "Ġrais es", + "Ġra ises", + "- none", + "-n one", + "-no ne", + "-non e", + ". meta", + ".m eta", + ".me ta", + ".met a", + "= '.$", + "=' .$", + "='. $", + "F inished", + "Fin ished", + "Finish ed", + "Ġre placing", + "Ġrepl acing", + "Ġ sampling", + "Ġs ampling", + "Ġsam pling", + "Ġsamp ling", + "ĠJ en", + "ĠJe n", + "\" There", + "\"The re", + "\"T here", + "RE AL", + "REA L", + "A LE", + "AL E", + "ìĬ ¤", + "Or ders", + "Order s", + "Ord ers", + "_ parameter", + "_param eter", + "_para meter", + "ĠOlymp ic", + "Ġtr ès", + "Ġ arena", + "Ġa rena", + "Ġare na", + "Ġar ena", + "Ġaren a", + "i ol", + "io l", + "; ?>", + "Ġimp acts", + "Ġimpact s", + "Ġ WS", + "ĠW S", + ": get", + ":g et", + "Ġf lights", + "Ġfl ights", + "Ġflight s", + "ĠRuss ell", + "ĠRus sell", + "c amera", + "came ra", + "cam era", + "F n", + "s igma", + "sig ma", + "Ġ forcing", + "Ġfor cing", + "Ġforc ing", + "Ġ locals", + "Ġloc als", + "Ġlocal s", + "Ġ departure", + "Ġdepart ure", + "Ġcelebr ation", + "Ġ Say", + "ĠS ay", + "ĠSa y", + "8 84", + "88 4", + "ï¼ Ĵ", + "ĠH ills", + "ĠHill s", + "ĠHil ls", + ".has OwnProperty", + "Ġ typings", + "Ġtyp ings", + "Ġtyping s", + ". API", + ".A PI", + ".AP I", + "Ġd onation", + "Ġdo nation", + "Ġdon ation", + "Operation Exception", + ". Activity", + ".Act ivity", + "c plusplus", + "Ġ Charlie", + "ĠChar lie", + "ĠCharl ie", + "Ġim ported", + "Ġimport ed", + "Ġimp orted", + "Ġd ann", + "Ġda nn", + "Ġdan n", + "Ġocc asions", + "Ġoccas ions", + "Ġoccasion s", + "Ġimplement ing", + "Ġ purple", + "Ġp urple", + "Ġpur ple", + ". dialog", + ".d ialog", + ".di alog", + "SQL Exception", + "er no", + "ern o", + "Ġw ars", + "Ġwar s", + "Ġwa rs", + "Ġ paste", + "Ġp aste", + "Ġpast e", + "Ġpas te", + "Ġpa ste", + "Ġdecre ased", + "Ġdecrease d", + "Ġhar sh", + "Ġel abor", + "Ġela bor", + "in puts", + "input s", + "inp uts", + "Ġ Views", + "ĠView s", + "ĠVi ews", + "ĠVie ws", + "Ġ errorMessage", + "Ġerror Message", + "_ mul", + "_m ul", + "_mu l", + "ĉ write", + "ĉw rite", + "Ġ Cop", + "ĠC op", + "ĠCo p", + "Ġ Annual", + "ĠAnn ual", + "( button", + "(b utton", + "Ġ vida", + "Ġv ida", + "Ġvi da", + "Ġvid a", + "b ars", + "bar s", + "ba rs", + "ĠHar vard", + "ĉ expect", + "ĉex pect", + "ĉexp ect", + "Ġ indexes", + "Ġindex es", + "Ġinde xes", + "Ġdocument ary", + "Ġf lesh", + "Ġfl esh", + "Ġfle sh", + "OR LD", + "Ġ Delta", + "ĠD elta", + "ĠDel ta", + "M AND", + "MA ND", + "MAN D", + "B rush", + "Br ush", + "Bru sh", + "- column", + "-c olumn", + "-col umn", + "Ġdevelop ments", + "Ġdevelopment s", + "9 74", + "97 4", + "7 83", + "78 3", + "method Visitor", + "s lice", + "sl ice", + "Ġ PDO", + "ĠP DO", + "ĠPD O", + "Ġinv esting", + "Ġinvest ing", + "8 67", + "86 7", + "ir able", + "ira ble", + "Ġ xmlns", + "Ġxml ns", + "ï¼ Ľ", + "ar ta", + "art a", + "Ġthe ories", + "Ġtheor ies", + "Ġtheo ries", + "_ city", + "_c ity", + "_ci ty", + "Ġ $__", + "Ġ$ __", + "Ġ$_ _", + "C reating", + "Cre ating", + "Cr eating", + "Creat ing", + "( pr", + "(p r", + "D ropdown", + "Drop down", + "is match", + "ism atch", + "Ġ NET", + "ĠN ET", + "ĠNE T", + "9 26", + "92 6", + "' ])){Ċ", + "'] )){Ċ", + "']) ){Ċ", + "'])) {Ċ", + "'])){ Ċ", + "Ġ Values", + "ĠVal ues", + "ĠValue s", + "Ġ SEO", + "ĠS EO", + "ĠSE O", + "Ġ STAT", + "ĠST AT", + "ĠSTA T", + "Ġe cosystem", + "Ġeco system", + "Ġ tempt", + "Ġt empt", + "Ġtem pt", + "Ġtemp t", + "Ġ \\\\", + "Ġ\\ \\", + "Ġ //{Ċ", + "Ġ// {Ċ", + "Ġ//{ Ċ", + "Ġ Christopher", + "ĠChrist opher", + "ĠChristoph er", + "ĠKent ucky", + "ĠHttp ServletResponse", + "ĠHttpServlet Response", + "Ġh ybrid", + "Ġhy brid", + "y on", + "yo n", + "Ġ feeding", + "Ġfe eding", + "Ġfeed ing", + "Ġfee ding", + "Ġ Extra", + "ĠEx tra", + "ĠExt ra", + "ĠExtr a", + "N orm", + "No rm", + "Nor m", + "IT CH", + "Ġ Sean", + "ĠS ean", + "ĠSe an", + "ĠSea n", + "Ġ Upload", + "ĠUp load", + "m un", + "mu n", + "p ur", + "pu r", + "Ġ persistent", + "Ġp ersistent", + "Ġpers istent", + "Ġpersist ent", + "ĠI DC", + "ĠID C", + "Ġ Perform", + "ĠPer form", + "ĠPerf orm", + "8 63", + "86 3", + ". merge", + ".m erge", + "_ room", + "_r oom", + "_ro om", + "Mean while", + "! ='", + "!= '", + "Ġ Wel", + "ĠW el", + "ĠWe l", + "Args Constructor", + "8 87", + "88 7", + ". Database", + ".D atabase", + ".Data base", + "Ġco unting", + "Ġcount ing", + "Ġcoun ting", + "( )*", + "() *", + "Ķ åĽŀ", + "Ġ TOP", + "ĠT OP", + "ĠTO P", + "m ill", + "mi ll", + "mil l", + "Ġ DT", + "ĠD T", + "IGN ED", + "9 56", + "95 6", + "Ġ KB", + "ĠK B", + "Ġcom ply", + "Ġcomp ly", + "Ġcompl y", + "S outh", + "So uth", + "Sou th", + "_ collection", + "_c ollection", + "_col lection", + "_coll ection", + "_collect ion", + "Ch apter", + "Cha pter", + "Ġexpl aining", + "Ġexplain ing", + "_ AM", + "_A M", + "_ ts", + "_t s", + "c ards", + "card s", + "car ds", + "Ġ quel", + "Ġqu el", + "Ġque l", + "Ġq uel", + "Ġ pole", + "Ġp ole", + "Ġpol e", + "Ġpo le", + "Ġtouch down", + "Ġ Others", + "ĠO thers", + "ĠOther s", + "Ġpe ers", + "Ġpeer s", + "Ġpee rs", + "Ġ TypeError", + "ĠType Error", + "7 63", + "76 3", + "Ġsix th", + "Ġch eer", + "Ġche er", + "Ġdis pute", + "Ġdisp ute", + "Ġdisput e", + "9 63", + "96 3", + "8 93", + "89 3", + "u sc", + "us c", + ") ],", + ")] ,", + "th umb", + "Ġh iding", + "Ġhi ding", + "Ġhid ing", + "Ġ SIG", + "ĠS IG", + "ĠSI G", + "l ikes", + "li kes", + "like s", + "lik es", + "Ġ PAGE", + "ĠP AGE", + "ĠPA GE", + ". Reflection", + ".Ref lection", + "Ġhead quarters", + "T ING", + "TI NG", + "Ġ Ghost", + "ĠG host", + "ĠGh ost", + "M LE", + "ML E", + "$ Ċ", + "Ġcont rary", + "Ġcontr ary", + "Ġcontra ry", + "ext end", + "' ]).", + "'] ).", + "']) .", + "FF ECT", + "FFE CT", + "Ġ Pinterest", + "ĠP interest", + "úmer o", + "ric ane", + "rica ne", + "ĉ session", + "ĉs ession", + "Ġcr ystal", + "Ġcry stal", + "Ġcryst al", + "- Control", + "-C ontrol", + "overn ment", + "o graf", + "og raf", + "ogr af", + "ogra f", + "9 61", + "96 1", + "- action", + "-a ction", + "-ac tion", + "v olume", + "vol ume", + "f ten", + "ft en", + "fte n", + "Ġun con", + "Ġunc on", + "Ġ animate", + "Ġan imate", + "Ġanim ate", + "Ġani mate", + "Ġ lease", + "Ġl ease", + "Ġle ase", + "s cr", + "sc r", + "Ġre fuse", + "Ġref use", + "ãĢ ĭ", + "f tp", + "ft p", + "in formation", + "inform ation", + "Ġeval uated", + "Ġevaluate d", + "Ġevalu ated", + "Ġin jection", + "Ġinj ection", + "Ġinject ion", + "Ġ jack", + "Ġj ack", + "Ġja ck", + "Ġjac k", + "Ġwork shop", + "Ġworks hop", + "æ³ ¨", + "P TH", + "PT H", + "Ġ Ts", + "ĠT s", + "o ffer", + "of fer", + "off er", + "ĉ os", + "ĉo s", + "Ġking dom", + "M issing", + "Miss ing", + "Mis sing", + "Ġlaw makers", + "Ġlawmaker s", + "ext Field", + "Ġs inging", + "Ġsin ging", + "Ġsing ing", + "a bi", + "ab i", + "/ client", + "/c lient", + "/cl ient", + "/cli ent", + ". media", + ".m edia", + ".me dia", + ".med ia", + "ATEG ORY", + "Sign ature", + "Sig nature", + "% ',Ċ", + "%' ,Ċ", + "%', Ċ", + "Ġ Fuck", + "ĠF uck", + "ĠFu ck", + "] [:", + "][ :", + "Ġs ensors", + "Ġsens ors", + "Ġsensor s", + "/ com", + "/c om", + "/co m", + "Ġ Primary", + "ĠPr imary", + "ĠPri mary", + "ĠPrim ary", + ". SQL", + ".S QL", + "_ program", + "_p rogram", + "_pro gram", + "_pr ogram", + "_prog ram", + "Ġp ills", + "Ġpil ls", + "Ġpill s", + "Ġ integral", + "Ġint egral", + "Ġinteg ral", + "Ġintegr al", + "Ġ fleet", + "Ġf leet", + "Ġfle et", + "Ġflee t", + "Ġd ropping", + "Ġdr opping", + "Ġdrop ping", + "Ġdro pping", + ". sl", + ".s l", + "B een", + "Be en", + "Ġ pets", + "Ġp ets", + "Ġpe ts", + "Ġpet s", + "Ġad vised", + "Ġadv ised", + "Ġadvis ed", + "Ġadvise d", + "Ġ dragon", + "Ġd ragon", + "Ġdr agon", + "Ġdrag on", + "Ġdra gon", + "_ EDIT", + "_ED IT", + "( im", + "(i m", + "9 39", + "93 9", + "F ER", + "FE R", + "Ġ Drug", + "ĠD rug", + "ĠDr ug", + "( random", + "(r andom", + "(rand om", + "Ġ compression", + "Ġcom pression", + "Ġcomp ression", + "Ġcompr ession", + "Ġcompress ion", + "o ust", + "ou st", + "ous t", + "[ %", + "Ġ buyer", + "Ġbu yer", + "Ġbuy er", + "h op", + "ho p", + "R oles", + "Role s", + "Ro les", + "Rol es", + "man age", + "ma nage", + "mana ge", + "Ġpain ful", + "Ġ Branch", + "ĠBr anch", + "ĠBran ch", + "- modal", + "-m odal", + "-mod al", + "e nant", + "en ant", + "ena nt", + "enan t", + "Ġ Mesh", + "ĠM esh", + "ĠMe sh", + "ĠMes h", + "/ font", + "/f ont", + "ĠG raham", + "ĠGra ham", + "Ġ âĺ", + "Ġâ ĺ", + "Ġ nc", + "Ġn c", + "ĠFranc is", + "ĠFran cis", + "Ġspec ification", + "Ġspecific ation", + "Ġdam ages", + "Ġdamage s", + "- config", + "-con fig", + "-conf ig", + "Ġthe oret", + "Ġtheor et", + "Ġtheo ret", + "s ecure", + "sec ure", + "_ multi", + "_m ulti", + "_mul ti", + "_mult i", + "aceut ical", + "Ġdem anding", + "Ġdemand ing", + "en ne", + "enn e", + "I STS", + "IS TS", + "IST S", + "0 94", + "09 4", + "( )));ĊĊ", + "() ));ĊĊ", + "()) );ĊĊ", + "()));Ċ Ċ", + "())) ;ĊĊ", + "())); ĊĊ", + "Re ason", + "Re cent", + "Rec ent", + "ph ase", + "pha se", + "phas e", + "Ġ psy", + "Ġp sy", + "Ġps y", + "_ MAN", + "_M AN", + "_MA N", + "Ġvol unteer", + "Ġvolunte er", + "Ġvolunt eer", + "å ¿", + "istrib uted", + "istribute d", + "l io", + "li o", + "Ġproduct ivity", + "_ comm", + "_c omm", + "_com m", + "_co mm", + "S pring", + "Sp ring", + "Spr ing", + "n is", + "ni s", + ". weight", + ".w eight", + ".we ight", + "ĠC ancer", + "ĠCan cer", + "ĠCanc er", + "Al loc", + "All oc", + "Ġ Tweet", + "ĠT weet", + "ĠTwe et", + "Ġsepar ately", + "Ġseparate ly", + "Ġseparat ely", + "ĉ check", + "ĉc heck", + "ĉch eck", + "_ properties", + "_p roperties", + "_prop erties", + ". Unit", + ".U nit", + ".Un it", + "8 29", + "82 9", + "_ CLK", + "_C LK", + "_CL K", + "Ġ gt", + "Ġg t", + "Ġ ();ĊĊ", + "Ġ( );ĊĊ", + "Ġ() ;ĊĊ", + "Ġ();Ċ Ċ", + "Ġ(); ĊĊ", + "Ġh andy", + "Ġhand y", + "Ġhan dy", + "8 34", + "83 4", + "ĠTh ompson", + "ĠThom pson", + "Ġun necessary", + "Ġunn ecessary", + "Ġ Reader", + "ĠRe ader", + "ĠRead er", + "8 94", + "89 4", + "G N", + "= request", + "=re quest", + "=req uest", + "Ġ Utility", + "ĠU tility", + "ĠUtil ity", + "ĠUt ility", + ". Repository", + ".Re pository", + "Ġ Ax", + "ĠA x", + "hy dr", + "7 91", + "79 1", + "i eu", + "ie u", + "Ġ thy", + "Ġt hy", + "Ġth y", + "Ġ lt", + "Ġl t", + "_ mail", + "_m ail", + "_ma il", + "ä¿® æĶ¹", + "a iland", + "ail and", + "ai land", + "Ġ Philip", + "ĠPh ilip", + "ĠPhil ip", + "ĠPhi lip", + "Ġb itter", + "Ġbit ter", + "Ġbitte r", + "Ġb etting", + "Ġbet ting", + "8 37", + "83 7", + "Ġt imed", + "Ġtime d", + "Ġtim ed", + "Ġti med", + "o cks", + "oc ks", + "ock s", + "0 76", + "07 6", + "' a", + "Ġal gorithms", + "Ġalgorithm s", + "Ġ reinterpret", + "Ġre interpret", + "Ġt oss", + "Ġto ss", + "r ogen", + "ro gen", + "rog en", + "Ġh oped", + "Ġhope d", + "Ġhop ed", + "Ġho ped", + "( selected", + "(se lected", + "(select ed", + "(sel ected", + "Ġ venture", + "Ġvent ure", + "Ġven ture", + "T EX", + "TE X", + "Ġ Leave", + "ĠLe ave", + ". Substring", + ".Sub string", + "Ġgr ateful", + "Ġgrat eful", + "Ġgrate ful", + "7 43", + "74 3", + "u ka", + "uk a", + "Ġ Consumer", + "ĠCon sumer", + "ĠCons umer", + "ĠConsum er", + "Ġag greg", + "Ġagg reg", + "C ircle", + "ภģ", + "_ blocks", + "_b locks", + "_block s", + "_bl ocks", + "_bloc ks", + "Ġleg ally", + "Ġlegal ly", + "Ġ \"|", + "Ġ\" |", + "ãĥ ĥ", + ". board", + ".b oard", + ".bo ard", + ". Ab", + ".A b", + "Function s", + "Fun ctions", + "rec ipe", + "è ĩ", + "ĠO xford", + "ĠOx ford", + "Ġw holes", + "Ġwh oles", + "Ġwho les", + "Ġwhole s", + ". Build", + ".B uild", + "_ changed", + "_ch anged", + "_change d", + "_chan ged", + "h ai", + "ha i", + "Ġ departments", + "Ġdepartment s", + "Ġdepart ments", + "9 64", + "96 4", + "I mp", + "Im p", + "Ġcoal ition", + "IN FRINGEMENT", + "Ġem power", + "Ġemp ower", + "it ches", + "itch es", + "N orth", + "Nor th", + "Ġin flamm", + "Ġinfl amm", + "O NSE", + "ON SE", + "ONS E", + "Ġmiss ile", + "ĠR aj", + "ĠRa j", + "Ġ Issue", + "ĠI ssue", + "ĠIss ue", + "Ġ atoi", + "Ġa toi", + "Ġat oi", + "c aled", + "ca led", + "cale d", + "cal ed", + ". Controllers", + ".Cont rollers", + ".Control lers", + ".Controller s", + "Ġ Wolf", + "ĠW olf", + "ĠWo lf", + "ĠWol f", + "Ġcrush ers", + "Ġcrusher s", + "á» ĩ", + ". Auth", + ".A uth", + ".add Attribute", + "h is", + "hi s", + "Ġbo ots", + "Ġboot s", + "Ġboo ts", + ". clean", + ".c lean", + ".cl ean", + "c amp", + "ca mp", + "cam p", + "Ġ tenant", + "Ġt enant", + "Ġte nant", + "Ġten ant", + "Ġt une", + "Ġtu ne", + "Ġtun e", + "Ġ {}'.", + "Ġ{ }'.", + "Ġ{} '.", + "Ġwork out", + "Re po", + "Rep o", + "Ġpart ially", + "Ġpartial ly", + "Ġparti ally", + "MI SSION", + "MISS ION", + "j amin", + "ja min", + "jam in", + "Ġ SB", + "ĠS B", + "Ġd etermination", + "Ġde termination", + "Ġdeter mination", + "Ġdetermin ation", + "Ġdeterm ination", + "Ġ' ');Ċ", + "Ġ'' );Ċ", + "Ġ'') ;Ċ", + "Ġ''); Ċ", + "ĠB eng", + "ĠBe ng", + "ĠBen g", + "Ġ vos", + "Ġv os", + "Ġvo s", + "Ġin hab", + "Ġinh ab", + "/ lang", + "/l ang", + "s burgh", + "sburg h", + "Exec utor", + "h one", + "ho ne", + "hon e", + "Ġ Challenge", + "ĠCh allenge", + "ĠChall enge", + "_ links", + "_l inks", + "_link s", + "_lin ks", + ". Level", + ".Le vel", + "Ġunder ground", + "- code", + "-c ode", + "-co de", + "9 59", + "95 9", + "Ġopt imization", + "Ġoptim ization", + "log ging", + "logg ing", + "_ dest", + "_d est", + "_de st", + "_des t", + "Ġ snake", + "Ġsn ake", + "Ġsna ke", + "Ġchem icals", + "Ġchemical s", + "_IMPORT ED", + "ad oop", + "ado op", + "adoo p", + "ĠTH AT", + "man aged", + "manage d", + "mana ged", + "Ġred uces", + "Ġredu ces", + "Ġreduce s", + "Ġ REAL", + "ĠRE AL", + "Ġ Guy", + "ĠG uy", + "ĠGu y", + "_GENER IC", + "_GEN ERIC", + "/ ********************************", + "/************************ ********", + "/******** ************************", + "/**************** ****************", + ". amount", + ".a mount", + ".am ount", + "Ġ dere", + "Ġd ere", + "Ġde re", + "Ġder e", + "get Time", + "Ġp ant", + "Ġpa nt", + "Ġpan t", + "an onymous", + "anon ymous", + "Ġhar mony", + "Ġharm ony", + "Ġharmon y", + "Ġ Alan", + "ĠA lan", + "ĠAl an", + "ĠAla n", + "Ġsc enarios", + "Ġscen arios", + "Ġscenario s", + "Ġd irt", + "Ġdi rt", + "Ġdir t", + "h tags", + "ht ags", + "htag s", + "hta gs", + "M c", + "S hell", + "Sh ell", + "She ll", + "r in", + "ri n", + "{ čĊčĊ", + "{čĊ čĊ", + ". pow", + ".p ow", + ".po w", + "ĉ client", + "ĉc lient", + "ĉcl ient", + "ĉcli ent", + "Ġcon spiracy", + "Ġconspir acy", + "Ġad mission", + "Ġadm ission", + "Ġ Regional", + "ĠReg ional", + "ĠRegion al", + "Ġ ViewController", + "ĠView Controller", + "ĠPhil ippines", + "ĠPhilipp ines", + "ĠPhilippine s", + "Ġde pos", + "Ġdep os", + "Ġp ap", + "Ġpa p", + "9 62", + "96 2", + "Ġ Pad", + "ĠP ad", + "ĠPa d", + "P aul", + "Pa ul", + ". ComboBox", + ".Com boBox", + "Ġt utor", + "Ġtu tor", + "Ġtut or", + "Ġtuto r", + "Ġ Recipe", + "ĠRec ipe", + "w riting", + "wr iting", + "Ġcontrib utor", + "O TH", + "OT H", + "S mall", + "Sm all", + "V I", + "Ġh acer", + "Ġha cer", + "Ġhace r", + "Ġhac er", + "e qu", + "eq u", + "Ġ Examples", + "ĠEx amples", + "ĠExample s", + "ĠExam ples", + "h uman", + "hu man", + "hum an", + ". messages", + ".m essages", + ".message s", + "ĉ typ", + "ĉt yp", + "Ġ (čĊ", + "Ġ( čĊ", + "Ġ SSL", + "ĠS SL", + "ĠSS L", + "L EN", + "LE N", + "ĠRom ney", + "( grid", + "(g rid", + "(gr id", + "ĉ min", + "ĉm in", + "Ġ >ĊĊ", + "Ġ> ĊĊ", + "Ġ>Ċ Ċ", + "Ġf ruits", + "Ġfr uits", + "Ġfruit s", + "Ġv oter", + "Ġvo ter", + "Ġvot er", + "Ġvote r", + "In line", + "p ane", + "pan e", + "pa ne", + "Ġ Collections", + "ĠC ollections", + "ĠCol lections", + "ĠCollection s", + "ĠColl ections", + "ĠCollect ions", + "char set", + "chars et", + "Ġ spam", + "Ġsp am", + "Ġspa m", + "z b", + "it emap", + "ite map", + "item ap", + "Ġs ucceeded", + "Ġsuc ceeded", + "Ġsucceed ed", + "_ COL", + "_C OL", + "_CO L", + "Ġ elapsed", + "Ġel apsed", + "i meter", + "im eter", + "ime ter", + "imet er", + "Ġre covered", + "Ġrecover ed", + "T ensor", + "hat tan", + "hatt an", + ". setup", + ".set up", + "i sto", + "is to", + "ist o", + "( head", + "(h ead", + "9 77", + "97 7", + "Ġ SIZE", + "ĠS IZE", + "ĠSI ZE", + "Ġt actics", + "Ġtact ics", + "Ġtactic s", + "Ġtac tics", + "Ġdis tur", + "Ġdist ur", + "Ġpr eval", + "Ġpre val", + "Ġprev al", + "ic ios", + "ici os", + "icio s", + "( Value", + "(V alue", + "_ cols", + "_c ols", + "_col s", + "_co ls", + "Ġ Fat", + "ĠF at", + "ĠFa t", + "Ġse al", + "Ġsea l", + "Ġ sons", + "Ġs ons", + "Ġso ns", + "Ġson s", + "Ġens ures", + "Ġensure s", + "0 95", + "09 5", + "Ġp ressing", + "Ġpres sing", + "Ġpress ing", + "= &", + "igen ous", + "Ġharass ment", + "_ JSON", + "_J SON", + "_JS ON", + "Ġign or", + "Ġig nor", + "yn omial", + "ynom ial", + "o mer", + "om er", + "ome r", + "_ static", + "_st atic", + "_stat ic", + "_sta tic", + "Ġsign ificance", + "Ġsignific ance", + "Ġsignifica nce", + "Ġc ircles", + "Ġcirc les", + "Ġcircle s", + "Ġcir cles", + "_ System", + "_S ystem", + "Ġdisc ipline", + "Ġdiscipl ine", + "Ġd ressed", + "Ġdr essed", + "Ġdress ed", + "Ġ sphere", + "Ġs phere", + "Ġsp here", + "Ġsph ere", + "9 27", + "92 7", + "Ġcl imb", + "Ġclim b", + "Ġcli mb", + "7 59", + "75 9", + "_ actions", + "_a ctions", + "_action s", + "_act ions", + "ĠB ab", + "ĠBa b", + "Ġ' =',", + "Ġ'=' ,", + "Ġ'= ',", + "_ schema", + "_s chema", + "\" use", + "Ġ unders", + "Ġun ders", + "Ġunder s", + "Ġund ers", + "Ġunde rs", + "Ġc ups", + "Ġcu ps", + "Ġcup s", + ". screen", + ".s creen", + ".sc reen", + "/ new", + "/n ew", + "/ne w", + "Ġapp earing", + "Ġappe aring", + "Ġappear ing", + "T OP", + "TO P", + "v ised", + "vis ed", + "vi sed", + "vise d", + "c lang", + "cl ang", + "cla ng", + "Ġinvest igators", + "Ġinvestig ators", + "Ġinvestigator s", + "Ġm ysterious", + "Ġmyster ious", + "Ġprom ising", + "Ġqual ify", + "Ġqua lify", + "Ġquali fy", + "Ġc ave", + "Ġca ve", + "Ġcav e", + "Ġ equip", + "Ġe quip", + "Ġequ ip", + "= x", + "G T", + "( link", + "(l ink", + "(li nk", + ". velocity", + ".v elocity", + ".vel ocity", + ". erase", + ".e rase", + ".er ase", + "o ter", + "ot er", + "ote r", + "++++ ++++", + "pro fit", + "prof it", + "Ġ zones", + "Ġz ones", + "Ġzone s", + "Ġzo nes", + "_ uid", + "_u id", + "_ui d", + "- ser", + "-s er", + "-se r", + "Ġob jectives", + "Ġobject ives", + "Ġobjective s", + "Ġmil f", + "Ġmi lf", + "web kit", + "( match", + "(m atch", + "(mat ch", + "n eh", + "ne h", + "Ġ Associated", + "ĠAssoci ated", + "ĠAssociate d", + "ĠAssoc iated", + "Ġ Todo", + "ĠT odo", + "ĠTo do", + "ĠTod o", + "= d", + "0 65", + "06 5", + "C am", + "Ca m", + "Ġv ocal", + "Ġvo cal", + "Ġvoc al", + "Ġ sudo", + "Ġs udo", + "Ġsu do", + "Ġsud o", + "( EX", + "(E X", + "Ġt rou", + "Ġtr ou", + "Ġtro u", + "A BC", + "AB C", + ". bean", + ".b ean", + ".be an", + "Ġ Ground", + "ĠG round", + "ĠGr ound", + "ĠGro und", + "Ġ REST", + "ĠR EST", + "ĠRE ST", + "ĠRES T", + "we ets", + "weet s", + "I ng", + "In g", + "i mon", + "im on", + "imo n", + "9 46", + "94 6", + "_ bus", + "_b us", + "Ġ COLOR", + "ĠC OLOR", + "ĠCOL OR", + "un to", + "unt o", + "Ġf oss", + "Ġfo ss", + "Ġfos s", + "Ġ Links", + "ĠL inks", + "ĠLink s", + "ĠLin ks", + "8 69", + "86 9", + "ä ng", + "än g", + "/ forms", + "/form s", + "pr ises", + "prise s", + "pri ses", + "Ġ achievement", + "Ġachie vement", + "Ġachieve ment", + "C ALL", + "CA LL", + "CAL L", + "е лÑĮ", + "ел ÑĮ", + "Ġ Verify", + "ĠVer ify", + "_ SOURCE", + "_S OURCE", + "apt cha", + "I DD", + "ID D", + "_ reference", + "_re ference", + "_ref erence", + "_refer ence", + "G old", + "Go ld", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "9 47", + "94 7", + "Re ceiver", + "Receive r", + "0 99", + "09 9", + "Ġ aj", + "Ġa j", + "_ direction", + "_d irection", + "_dir ection", + "_di rection", + "_direct ion", + "} ]", + "Ġ Compet", + "ĠCom pet", + "ĠComp et", + "Ġ bang", + "Ġb ang", + "Ġban g", + "Ġba ng", + "7 98", + "79 8", + "ĠC ass", + "ĠCas s", + "ĠCa ss", + "- url", + "-u rl", + "t echn", + "te chn", + "tech n", + "tec hn", + "ĠJer usalem", + "long itude", + "' );čĊčĊ", + "') ;čĊčĊ", + "'); čĊčĊ", + "');čĊ čĊ", + "Ġwin ners", + "Ġwinner s", + "T asks", + "Task s", + "Ġ DMA", + "ĠD MA", + "ĠDM A", + "Ġ tooltip", + "Ġto oltip", + "Ġtool tip", + "İ ·", + "ĠB ra", + "ĠBr a", + "_ duration", + "_d uration", + "_dur ation", + "c ury", + "cur y", + "cu ry", + "par ents", + "pare nts", + "parent s", + "paren ts", + "- --- >(", + ">> (", + "Ġ Kir", + "ĠK ir", + "ĠKi r", + "Ġ intros", + "Ġint ros", + "Ġintr os", + "Ġintro s", + "Ġsk etch", + "Ġsk illed", + "Ġskill ed", + "Ġ immer", + "Ġim mer", + "Ġimm er", + "Ġade quate", + "Ġadequ ate", + "_ rep", + "_re p", + "_r ep", + "( header", + "(head er", + "_ like", + "_l ike", + "_li ke", + "Ġper ceived", + "Ġperceive d", + "Ġperce ived", + "s sh", + "ss h", + "Ġ assuming", + "Ġas suming", + "Ġass uming", + "Ġassum ing", + "Ġ ff", + "Ġf f", + "_ uuid", + "_u uid", + "u las", + "ul as", + "ula s", + "Ġdem ocratic", + "Ġdemocr atic", + "Ġdemocrat ic", + ". entities", + ".ent ities", + "S eries", + "Se ries", + "Ser ies", + "aph ore", + "Ġnew er", + "Ġne wer", + "} (", + "S EC", + "SE C", + "a iro", + "air o", + "ai ro", + "Ġcom mod", + "Ġcomm od", + "Ġpriv ilege", + "Ġprivile ge", + "Ġde ux", + "Ġ Hop", + "ĠH op", + "ĠHo p", + ". '/", + ".' /", + "c tic", + "ct ic", + ". ';Ċ", + ".' ;Ċ", + "< ?=", + " C", + "ĠWar ren", + "Ġ optimizer", + "Ġopt imizer", + "Ġoptim izer", + "Ġoptimize r", + "ĠSER VICES", + "ĠSERVICE S", + "_ oper", + "_op er", + "_o per", + "get Attribute", + "ĠMc K", + "_ self", + "_s elf", + "_se lf", + "_sel f", + "0 84", + "08 4", + ". rs", + ".r s", + "\" )ĊĊĊ", + "\") ĊĊĊ", + "\")Ċ ĊĊ", + "\")ĊĊ Ċ", + "Get Component", + "er ce", + "erc e", + "Ġt ous", + "Ġto us", + "Ġtou s", + "un its", + "unit s", + "uni ts", + "' ]);čĊ", + "'] );čĊ", + "']) ;čĊ", + "']); čĊ", + "Z oom", + "/ E", + "Ġob sc", + "Ġobs c", + "Ġfast est", + "Ġfas test", + "on line", + "Ġpeace ful", + "f fen", + "ff en", + "ffe n", + "Ġ cargo", + "Ġc argo", + "Ġcar go", + "Ġcarg o", + "ĉ pr", + "ĉp r", + "Ġse eks", + "Ġsee ks", + "Ġseek s", + "z u", + "0 74", + "07 4", + "T rim", + "Tr im", + "Tri m", + "Ġ ward", + "Ġw ard", + "Ġwar d", + "Ġwa rd", + "Ġv erd", + "Ġver d", + "Ġve rd", + "Ġ blogs", + "Ġb logs", + "Ġbl ogs", + "Ġblog s", + "Ġblo gs", + ". exceptions", + ".ex ceptions", + ".exception s", + "Ġ Premium", + "ĠP remium", + "ĠPre mium", + "ĠPrem ium", + "ĠPremi um", + "ĠN etherlands", + "S afe", + "Sa fe", + "F inish", + "Fin ish", + "Fi nish", + "Ġ Album", + "ĠAl bum", + "ĠAlb um", + "_ ACC", + "_A CC", + "_AC C", + "= this", + "=t his", + "v irtual", + "vir tual", + "virt ual", + "] >", + "_ LABEL", + "_L ABEL", + "_LA BEL", + "Ġ Nich", + "ĠN ich", + "ĠNic h", + "ĠNi ch", + "_ win", + "_w in", + "Ġ Aaron", + "ĠA aron", + "W P", + "; $", + "a ims", + "ai ms", + "aim s", + "Ġ ImageView", + "ĠImage View", + "Ġend less", + "Ġendl ess", + "E RA", + "ER A", + "_ DISABLE", + "_DIS ABLE", + "Ġ cancelled", + "Ġcancel led", + "Ġcancell ed", + "Ġcanc elled", + "- us", + "-u s", + "Ġ inspection", + "Ġins pection", + "Ġinspect ion", + "Ġinsp ection", + "e min", + "em in", + "emi n", + "Ġ Grey", + "ĠG rey", + "ĠGr ey", + "ĠGre y", + "- open", + "-o pen", + "-op en", + "Ġ iterations", + "Ġiter ations", + "Ġiteration s", + ". owner", + ".o wner", + "Ġk eras", + "Ġke ras", + "Ġker as", + ". Password", + ".P assword", + ".Pass word", + "ĠR y", + "Ġ INS", + "ĠI NS", + "ĠIN S", + "A ir", + "Ai r", + "Ġ Several", + "ĠSe veral", + "ĠSever al", + "ĠSev eral", + ".Tab Stop", + "IN GLE", + "ING LE", + "Ġ Hair", + "ĠH air", + "ĠHa ir", + "ĠHai r", + "Ġ Canvas", + "ĠC anvas", + "ĠCan vas", + "A AAA", + "AA AA", + "AAA A", + "Ġf law", + "Ġfl aw", + "Ġfla w", + "c edes", + "ce des", + "ced es", + "cede s", + ". Report", + ".Re port", + "í Ĭ", + "Ġ Tips", + "ĠT ips", + "ĠTi ps", + "ĠTip s", + "cript ors", + "criptor s", + ". transaction", + ".trans action", + ". Spring", + ".S pring", + ".Sp ring", + "Ġ viewer", + "Ġview er", + "Ġvie wer", + "Ġins ights", + "Ġinsight s", + "è¾ ĵ", + "ord ion", + "U INT", + "UI NT", + "se ek", + "see k", + "Ġ Auf", + "ĠA uf", + "ĠAu f", + "ìŀ IJ", + "Ġ strain", + "Ġs train", + "Ġst rain", + "Ġstr ain", + "Ġstra in", + "To oltip", + "Tool tip", + "Ġ dz", + "Ġd z", + "ig nal", + "ign al", + "a dt", + "ad t", + "Ġ uc", + "Ġu c", + "f inite", + "fin ite", + "fi nite", + "Ġ nm", + "Ġn m", + ". cmd", + ".c md", + ".cm d", + "ĠMy Sql", + "[ data", + "[d ata", + ".j ackson", + ". tree", + ".t ree", + ".tr ee", + "Request Param", + "_ agent", + "_a gent", + "_ag ent", + "_age nt", + "\" )]čĊ", + "\") ]čĊ", + "\")] čĊ", + "Ġas sass", + "Ġass ass", + "( Constants", + "(Constant s", + "(Const ants", + ": ss", + ":s s", + "Ġ MAN", + "ĠM AN", + "ĠMA N", + "+- +-", + "Ġ Bottom", + "ĠB ottom", + "ĠBot tom", + "ĠBott om", + "pr ints", + "print s", + "pri nts", + "Ġ Same", + "ĠS ame", + "ĠSam e", + "ĠSa me", + "@ Autowired", + "s wap", + "sw ap", + "i ción", + "ic ión", + "ici ón", + "Ġprot esters", + "Ġprote sters", + "Ġprotest ers", + "Ġprotester s", + "Ġh oney", + "Ġhon ey", + "Ġho ney", + "Ġhone y", + "Ġ Veter", + "ĠV eter", + "ĠVe ter", + "ĠVet er", + "( Calendar", + "(C alendar", + "- ad", + "-a d", + "ĠBro oklyn", + "ĠBrook lyn", + "L ife", + "Li fe", + "_ VAR", + "_V AR", + "z ech", + "ze ch", + "Ġ CALL", + "ĠC ALL", + "ĠCA LL", + "ĠCAL L", + "_ CAST", + "_C AST", + "_CA ST", + "ĠE lection", + "ĠEl ection", + "ĠElect ion", + "ĠEle ction", + "Ġ thickness", + "Ġth ickness", + "Ġthick ness", + "V ery", + "Ver y", + "Ve ry", + "_ INTEGER", + "_IN TEGER", + "- dev", + "-d ev", + "-de v", + ") )))", + ")) ))", + "))) )", + "a pat", + "ap at", + "apa t", + "o ooo", + "oo oo", + "ooo o", + "d emo", + "de mo", + "dem o", + "Ġ parseFloat", + "Ġparse Float", + "Ġ Rather", + "ĠR ather", + "ĠRa ther", + "ĠRat her", + "ĠRath er", + "ST IT", + "m aker", + "ma ker", + "make r", + "mak er", + "[ current", + "[c urrent", + "[cur rent", + "[curr ent", + "chron o", + "chr ono", + "Ġ christ", + "Ġch rist", + "Ġchr ist", + "ãģ ª", + "Ġ Detail", + "ĠD etail", + "ĠDe tail", + "ĠDet ail", + "Æ° á»", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ġs ul", + "Ġsu l", + "id ency", + "ide ncy", + "iden cy", + "Q ue", + "Qu e", + "Ġe legant", + "Ġeleg ant", + "a pons", + "ap ons", + "apon s", + "apo ns", + "Ġd ishes", + "Ġdis hes", + "Ġdish es", + "Ġint egers", + "Ġinteg ers", + "Ġinteger s", + "Ġinte gers", + "( read", + "(r ead", + "(re ad", + "0 57", + "05 7", + "find ViewById", + "Ġ Amount", + "ĠA mount", + "ĠAm ount", + "Ġ Skip", + "ĠS kip", + "ĠSk ip", + "ĠSki p", + "Ġhab its", + "Ġha bits", + "Ġhabit s", + "* )(", + "*) (", + "Ġmon sters", + "Ġmonster s", + "M AC", + "MA C", + ": end", + ":e nd", + "Ġf rank", + "Ġfr ank", + "Ġfra nk", + "Ġfran k", + "As sembly", + "Ġ dfs", + "Ġd fs", + "Ġdf s", + "Ġn eut", + "Ġne ut", + "Ġneu t", + "_ TYPES", + "_T YPES", + "_TYPE S", + "_TYP ES", + "e qual", + "eq ual", + "equ al", + "lo yd", + "loy d", + "( uri", + "(u ri", + "(ur i", + "Ġ chi", + "Ġc hi", + "Ġch i", + "Ġdef endant", + "Ġdefend ant", + "Ġconf licts", + "Ġconflic ts", + "Ġconflict s", + "Ġconfl icts", + "Ġ vil", + "Ġv il", + "Ġvi l", + "- js", + "-j s", + "Ġ Peace", + "ĠPe ace", + "Ġ mutable", + "Ġm utable", + "Ġmut able", + "Ġmu table", + ") sender", + ")s ender", + "Ġ Focus", + "ĠF ocus", + "ĠFo cus", + "å» º", + "Ġapprec iated", + "Ġappreciate d", + "s leep", + "Ġ RED", + "ĠR ED", + "ĠRE D", + "C ulture", + "Ġdesign ers", + "Ġdesigner s", + "_ generator", + "_g enerator", + "_gen erator", + "_gener ator", + "c odes", + "co des", + "code s", + "cod es", + "/ ex", + "/e x", + ". GetValue", + ".Get Value", + "um bled", + "umb led", + "umble d", + ".scal ajs", + ".scala js", + "pe ror", + "per or", + "Ġveter ans", + "Ġveteran s", + "Ġ })čĊ", + "Ġ} )čĊ", + "Ġ}) čĊ", + "Ġun fortunately", + "Ġunfortunate ly", + "_ CREATE", + "_C REATE", + "_CRE ATE", + "_CREAT E", + "M ass", + "Ma ss", + "Mas s", + "Ġ CLAIM", + "ĠCL AIM", + "Ġ Meet", + "ĠMe et", + "_ support", + "_s upport", + "_sup port", + "_supp ort", + "B ank", + "Ban k", + "Ba nk", + "( ).Ċ", + "() .Ċ", + "(). Ċ", + "D ark", + "Da rk", + "Dar k", + "_ LOW", + "_L OW", + "_LO W", + "Ġ Mining", + "ĠM ining", + "ĠMin ing", + "ĠMini ng", + "ĠMi ning", + "Ġ Owner", + "ĠO wner", + "ĠOwn er", + "ĠOw ner", + "i era", + "ie ra", + "ier a", + "Client e", + "Cl iente", + "Cli ente", + "Ġencour aging", + "> S", + "Ġboy friend", + "Ġ Half", + "ĠH alf", + "ĠHa lf", + "ĠHal f", + "Ġ ACC", + "ĠA CC", + "ĠAC C", + "A ff", + "Af f", + "_ ar", + "_a r", + "- life", + "-l ife", + "-li fe", + "c x", + ".J Button", + "iz ado", + "iza do", + ". zero", + ".z ero", + ".open qa", + "o ton", + "ot on", + "oto n", + ". textContent", + ".text Content", + "Ġt oll", + "Ġto ll", + "Ġtol l", + "a tie", + "at ie", + "ati e", + "Ġball ot", + "Ġbal lot", + "Ġballo t", + "- number", + "-n umber", + "-num ber", + ". Exception", + ".Ex ception", + "ĉ params", + "ĉparam s", + "c ircle", + "circ le", + "cir cle", + "- map", + "-m ap", + "Ġ nap", + "Ġn ap", + "Ġna p", + "Ġ Robot", + "ĠR obot", + "ĠRob ot", + "ĠRo bot", + "Ġ Ich", + "ĠI ch", + "reg istration", + "registr ation", + "regist ration", + "A mazon", + "Am azon", + "roll ment", + "( exp", + "(e xp", + "(ex p", + "Ġt anks", + "Ġtank s", + "Ġtan ks", + "ĠG ordon", + "ĠGor don", + "ĠGord on", + "Ġm achinery", + "Ġmachine ry", + "Ġmach inery", + "Ġ baseline", + "Ġb aseline", + "Ġbase line", + "Ġbas eline", + "æ ĭ", + "0 86", + "08 6", + "Ø ©", + "Ġ Convention", + "ĠCon vention", + "ĠConv ention", + "ĉ config", + "ĉcon fig", + "ĉconf ig", + "o okies", + "ook ies", + "ookie s", + "m ult", + "mu lt", + "mul t", + "Rec ords", + "Record s", + "Ġ EST", + "ĠE ST", + "ĠES T", + "Ġgar bage", + "Ġcon form", + "Ġconf orm", + "i dal", + "id al", + "ida l", + "Ġb arg", + "Ġbar g", + "Ġba rg", + "Ġsurv ived", + "Ġsurvive d", + "Ġsurviv ed", + "Ġinvestig ations", + "Ġinvestigation s", + "9 35", + "93 5", + ".contains Key", + "---- ----------------------------------------------------------------------Ċ", + "---------------------------------------------------------------- ----------Ċ", + "---------------------------------------------------------------------- ----Ċ", + "or tion", + "ort ion", + "Ġh orr", + "Ġhor r", + "Ġho rr", + "_ http", + "_h ttp", + "_ht tp", + "Ġ mant", + "Ġm ant", + "Ġman t", + "Ġma nt", + "] ;čĊčĊ", + "]; čĊčĊ", + "];čĊ čĊ", + "b inary", + "bin ary", + "9 48", + "94 8", + "e mpl", + "em pl", + "emp l", + "Ġin quiry", + "Ġ Meanwhile", + "ĠMean while", + "0 98", + "09 8", + "Ġcollect ing", + ".Entity Framework", + "\" ,ĊĊ", + "\", ĊĊ", + "\",Ċ Ċ", + "Ġ Pic", + "ĠP ic", + "ĠPi c", + "@ Inject", + "ick ness", + "Ġ Binding", + "ĠB inding", + "ĠBind ing", + "ĠBin ding", + "Ġcont rolling", + "Ġcontrol ling", + "re verse", + "rev erse", + "Ġch airs", + "Ġchair s", + "Ġcha irs", + "Ġchai rs", + "semb led", + "sem bled", + "semble d", + "sembl ed", + "( add", + "(a dd", + "(ad d", + "Dis abled", + "Disable d", + "a nas", + "an as", + "ana s", + ". translate", + ".trans late", + "- ----------Ċ", + "-- ---------Ċ", + "---- -------Ċ", + "-------- ---Ċ", + "--- --------Ċ", + "----- ------Ċ", + "---------- -Ċ", + "------ -----Ċ", + "----------- Ċ", + "------- ----Ċ", + "--------- --Ċ", + "Ġref lected", + "Ġreflect ed", + "Ġrefl ected", + "\" ]ĊĊ", + "\"] ĊĊ", + "\"]Ċ Ċ", + "Ex ternal", + "Ext ernal", + "Extern al", + "Ar row", + "Arr ow", + "S ingleton", + "Single ton", + "Sing leton", + "% x", + "Ġ Å", + "Ġan cest", + "Ġance st", + "Ġanc est", + "ĠOr leans", + "ĉ cmd", + "ĉc md", + "ĉcm d", + "Ġpro hibited", + "Ġprohib ited", + "Ġprohibit ed", + "ith metic", + "( channel", + "(ch annel", + "(chan nel", + "_ css", + "_c ss", + "_cs s", + "For ward", + ". socket", + ".s ocket", + ".so cket", + ".sock et", + "Ġl uc", + "Ġlu c", + "â Ĩ", + "Ġ Firefox", + "ĠFire fox", + "Ġ Movies", + "ĠM ovies", + "ĠMovie s", + "ĠMov ies", + ") _", + ". ends", + ".e nds", + ".end s", + ".en ds", + "( shape", + "(s hape", + "(sh ape", + "Ġde alt", + "Ġdeal t", + "Ġs aves", + "Ġsa ves", + "Ġsave s", + "Ġsav es", + "Ġgl ory", + "Ġglo ry", + "Ġglor y", + "Ġmej or", + "Ġbre athing", + "Ġbreath ing", + "Ġ eller", + "Ġe ller", + "Ġel ler", + "Ġell er", + "Ġelle r", + "get Data", + "Ġ angles", + "Ġan gles", + "Ġang les", + "Ġangle s", + "Ġangl es", + "Ġ toolbar", + "Ġtool bar", + "Ġ spacing", + "Ġsp acing", + "Ġspa cing", + "Ġspac ing", + "0 59", + "05 9", + "I PS", + "IP S", + "Ġfloor s", + "Ġflo ors", + "_ ACTIVE", + "_ACT IVE", + "_ACTIV E", + "Ġ shuffle", + "Ġsh uffle", + "/ shared", + "/sh ared", + "/share d", + "Ġ Ele", + "ĠE le", + "ĠEl e", + "e dish", + "ed ish", + "edi sh", + "edis h", + "Ġweb cam", + ". expect", + ".ex pect", + ".exp ect", + "i loc", + "il oc", + "ilo c", + "Ġ Includes", + "ĠIn cludes", + "ĠInclude s", + "Ġt weeted", + "Ġtweet ed", + "Ġtwe eted", + "Ġtwee ted", + "Ġ :)", + "Ġ: )", + "Ġ Essay", + "ĠEs say", + "ĠEss ay", + "F ix", + "Fi x", + "- between", + "-b etween", + "_ web", + "_w eb", + "_we b", + ". conv", + ".con v", + ".co nv", + "Ġrac ism", + "Ġreflect s", + "Ġrefl ects", + "u mm", + "um m", + "и ÑĤе", + "иÑĤ е", + "_ footer", + "_f ooter", + "_foot er", + "/ docs", + "/d ocs", + "/doc s", + "/do cs", + "Ġ Pour", + "ĠP our", + "ĠPo ur", + "ĠPou r", + "Ng Module", + ". initialize", + ".initial ize", + "pattern s", + "_ In", + "_I n", + "Ġ Abb", + "ĠA bb", + "ĠAb b", + "* čĊ", + "Ġsent iment", + "b uff", + "buf f", + "bu ff", + "_ counts", + "_count s", + "_co unts", + "_cou nts", + "Ġ reuse", + "Ġre use", + "ch unk", + "chu nk", + "Ġim posed", + "Ġimp osed", + "Ġimpose d", + "Primary Key", + "Fore ground", + "Ġcons umed", + "Ġconsum ed", + "Ġconsume d", + "? !", + "Ġd ick", + "Ġdi ck", + "Ġdic k", + "Ġ chron", + "Ġch ron", + "Ġchr on", + "ĠF ern", + "ĠFe rn", + "ĠFer n", + "Ġ responsive", + "Ġres ponsive", + "Ġrespons ive", + "9 58", + "95 8", + "Ġin sect", + "Ġins ect", + "Ġinse ct", + "ic ulty", + "icult y", + "Ġ rw", + "Ġr w", + "Ġa like", + "Ġal ike", + "Ġali ke", + "Ġ subset", + "Ġsub set", + "Ġsubs et", + "Ġ Cookies", + "ĠC ookies", + "ĠCo okies", + "ĠCook ies", + "ĠCookie s", + "Ġ Pair", + "ĠP air", + "ĠPa ir", + "ĠPai r", + "Ġ tier", + "Ġt ier", + "Ġti er", + "Ġtie r", + "I FO", + "IF O", + "av our", + "avo ur", + "avou r", + "Ġ QU", + "ĠQ U", + ", sizeof", + ",size of", + "Ġ merged", + "Ġm erged", + "Ġmer ged", + "Ġmerge d", + "Ġmerg ed", + "m v", + "i tol", + "it ol", + "ito l", + "y lon", + "yl on", + "Ġj umped", + "Ġjump ed", + ". role", + ".r ole", + ".ro le", + "ens aje", + "ensa je", + "R ules", + "Rule s", + "Ru les", + "Ġ browse", + "Ġb rowse", + "Ġbrows e", + "Ġbrow se", + "An imator", + "Anim ator", + "Ġy oga", + "Ġyo ga", + "Ġyog a", + "Ġ variants", + "Ġvar iants", + "Ġvari ants", + "Ġvariant s", + "Ġcour tesy", + "Ġcourt esy", + "Ġcourte sy", + "u ran", + "ur an", + "ura n", + "p bs", + "pb s", + "else if", + "A lt", + "Al t", + "Ġ Lane", + "ĠL ane", + "ĠLa ne", + "ĠLan e", + "C LK", + "CL K", + "I MARY", + "IM ARY", + "IMA RY", + "_ PROPERTY", + "_P ROPERTY", + "_PRO PERTY", + "ï¼ IJ", + "Ġ chan", + "Ġc han", + "Ġch an", + "Ġcha n", + "Ġgrad ually", + "Ġgradu ally", + "Ġgradual ly", + "Ġ shake", + "Ġsh ake", + "Ġsha ke", + "Ġbl onde", + "Ġblo nde", + "Ġblond e", + ".. .\");Ċ", + "... \");Ċ", + "...\" );Ċ", + "- sex", + "-s ex", + "-se x", + "Ġgame play", + "a cies", + "ac ies", + "aci es", + "acie s", + ". refresh", + ".re fresh", + ".ref resh", + "U SB", + "US B", + "Ġ Plot", + "ĠP lot", + "ĠPl ot", + "W as", + "Wa s", + "iss ippi", + "Ġ Tensor", + "ĠT ensor", + "Ġcrypt ocurrency", + "Ġcrypto currency", + "Ġcryptoc urrency", + "Ġdifficult ies", + "De leted", + "Delete d", + "Del eted", + "With out", + "_ append", + "_app end", + "_ap pend", + "_ ver", + "_v er", + "_ve r", + "9 67", + "96 7", + "\" ))čĊ", + "\") )čĊ", + "\")) čĊ", + "Ġh onestly", + "Ġhonest ly", + "Ġ pivot", + "Ġp ivot", + "Ġpiv ot", + "Ġ temps", + "Ġte mps", + "Ġtem ps", + "Ġtemp s", + "_ ps", + "_p s", + "Ġ Unlike", + "ĠUn like", + "[ :-", + "[: -", + "V S", + "_ inf", + "_in f", + "_i nf", + "Ġjun ior", + "Ġjuni or", + "Ġ animations", + "Ġan imations", + "Ġanim ations", + "Ġanimation s", + "Ġ filepath", + "Ġfile path", + "? {{$", + ">{ {$", + ">{{ $", + "Ġ unicode", + "Ġun icode", + "Ġuni code", + "Ġunic ode", + "p laces", + "pl aces", + "place s", + "pla ces", + "Ġ Coffee", + "ĠC offee", + "ĠCo ffee", + "ĠCoff ee", + ". SE", + ".S E", + "Ġ PAR", + "ĠP AR", + "ĠPA R", + "( txt", + "(t xt", + "(tx t", + "g ebra", + "ge bra", + "geb ra", + "Ġ fires", + "Ġf ires", + "Ġfire s", + "Ġfi res", + "Ġfir es", + "Main Window", + "m edium", + "med ium", + "medi um", + "Ġ( âĢľ", + "Ġ lg", + "Ġl g", + "Ġ cmp", + "Ġc mp", + "Ġcm p", + "/ base", + "/b ase", + "_ layers", + "_l ayers", + "_layer s", + "_la yers", + "_ entries", + "_en tries", + "_ent ries", + "Ġadmin ister", + "ĠS UCH", + "ĠSU CH", + "B P", + "ĠScott ish", + "ĉ čĊĉčĊ", + "ĉčĊ ĉčĊ", + "g uard", + "gu ard", + "gua rd", + "Ġ Strong", + "ĠSt rong", + "ĠStr ong", + "In sn", + "Ins n", + "Ġ CAP", + "ĠC AP", + "ĠCA P", + "as ury", + "asu ry", + "Ġ SEE", + "ĠS EE", + "ĠSE E", + "C lock", + "Cl ock", + "Clo ck", + "e rie", + "er ie", + "eri e", + "\\ models", + "\\model s", + "Ġ $$", + "Ġ$ $", + "Ġ Cab", + "ĠC ab", + "ĠCa b", + "Ġwur de", + "Ġsold ier", + "Ġcl ips", + "Ġclip s", + "Ġcli ps", + "Ġarr angement", + "Ġarrang ement", + "Ġarrange ment", + "Ġ Wonder", + "ĠW onder", + "ĠWo nder", + "ĠWon der", + "ĠH orn", + "ĠHor n", + "ĠHo rn", + "Ġsc ared", + "Ġsca red", + "Ġscar ed", + "Ġscare d", + "Ġc ure", + "Ġcur e", + "Ġcu re", + "m kdir", + "mk dir", + "Ġ aligned", + "Ġal igned", + "Ġalign ed", + "Ġ Pink", + "ĠP ink", + "ĠPin k", + "ĠPi nk", + "Ġl anded", + "Ġland ed", + "Ġlan ded", + "D imension", + "Dim ension", + "Scroll Pane", + ". chat", + ".c hat", + ".ch at", + ". With", + ".W ith", + "Ġ Train", + "ĠT rain", + "ĠTr ain", + "ĠTra in", + "] .Ċ", + "]. Ċ", + "Ġth irty", + "Ġd urable", + "Ġdur able", + "Ġ ld", + "Ġl d", + "Ġlate init", + "Ġ charts", + "Ġch arts", + "Ġchar ts", + "Ġchart s", + "Ġcha rts", + "Ġins ult", + ". Fatal", + ".F atal", + ".Fat al", + "_ ct", + "_c t", + "Ġm asks", + "Ġmask s", + "Ġmas ks", + "CLUD ED", + "CLU DED", + "CLUDE D", + "P resident", + "Pres ident", + "Ġcol ours", + "Ġcolour s", + "g ments", + "gment s", + "gm ents", + ". attributes", + ".at tributes", + ".attribute s", + ".attrib utes", + "Ġ Flex", + "ĠF lex", + "ĠFl ex", + "ĠFle x", + "Ġ Clock", + "ĠC lock", + "ĠCl ock", + "ĠClo ck", + "ÃŃ cul", + "ÃŃc ul", + "i men", + "im en", + "ime n", + "J O", + "Ġ Regex", + "ĠReg ex", + "_ LINK", + "_L INK", + "Ġc ouch", + "Ġco uch", + "Ġcou ch", + "Ġ INPUT", + "ĠIN PUT", + "Ġb eating", + "Ġbe ating", + "Ġbeat ing", + "b usiness", + "bus iness", + "pr eced", + "pre ced", + "prec ed", + ". unit", + ".un it", + ".u nit", + ".uni t", + "Ġ Fel", + "ĠF el", + "ĠFe l", + "N ever", + "Ne ver", + "os pel", + "osp el", + ". startswith", + ".start swith", + "ĠE PA", + "ĠEP A", + ". only", + ".on ly", + "Ġpre venting", + "Ġprevent ing", + "Ġprev enting", + "y er", + "ye r", + "Column Name", + "Ġe levation", + "Ġele vation", + "Ġelev ation", + "f lu", + "fl u", + "i cycle", + "ic ycle", + "icy cle", + "Ġ offline", + "Ġoff line", + "Tool bar", + "Ġcomp eting", + "Ġcompet ing", + ") ].", + ")] .", + "Ġm og", + "Ġmo g", + "Ġ isValid", + "Ġis Valid", + "A sk", + "As k", + "_ av", + "_a v", + "_ lat", + "_l at", + "_la t", + "A NC", + "AN C", + "ĠJ oh", + "ĠJo h", + "k ers", + "ke rs", + "ker s", + "Ġ guards", + "Ġg uards", + "Ġgu ards", + "Ġguard s", + "Ġguar ds", + "Ġ chains", + "Ġch ains", + "Ġchain s", + "Ġcha ins", + "Ġchai ns", + "ĠSimple DateFormat", + ". static", + ".st atic", + ".stat ic", + "Ġv essel", + "Ġve ssel", + "Ġvess el", + "Ġves sel", + "Ġm ud", + "Ġmu d", + "Ġst abil", + "Ġstab il", + "Ġsta bil", + "Ġst ret", + "Ġstr et", + "Ġstre t", + "g m", + "am ation", + "ama tion", + "amat ion", + "ç ľ", + "- with", + "-w ith", + "Ġ ros", + "Ġr os", + "Ġro s", + "_ PA", + "_P A", + "Ġ resultado", + "Ġresult ado", + "Ġconf idential", + "Ġconfident ial", + "ĠTok yo", + "ĉ using", + "ĉu sing", + "ĉus ing", + "Ġ Mathf", + "ĠMath f", + "ĠMat hf", + "om bine", + "omb ine", + "Ġ ESPN", + "ĠESP N", + "ĠES PN", + "Ġde alers", + "Ġdeal ers", + "Ġdealer s", + "Ġdismiss ed", + "T RY", + "TR Y", + "Ġte ens", + "Ġteen s", + "Ġtee ns", + "rec ords", + "record s", + "Ġw ings", + "Ġwin gs", + "Ġwing s", + "g allery", + "ac counts", + "account s", + "acco unts", + "_ LIB", + "_L IB", + "Ġj acket", + "Ġja cket", + "Ġjack et", + "Ġjac ket", + "Ġ NSObject", + "ĠNS Object", + "Ġ stones", + "Ġs tones", + "Ġst ones", + "Ġstone s", + "Ġsto nes", + "Ġ Delivery", + "ĠD elivery", + "ĠDel ivery", + "ĠDeliver y", + "ĠD iet", + "ĠDi et", + "ĠDie t", + "/ watch", + "/w atch", + "Ġto ilet", + "Ġtoile t", + "Ġtoi let", + "Ġ Guest", + "ĠG uest", + "ĠGu est", + ". day", + ".d ay", + ".da y", + "0 67", + "06 7", + "Ġ intval", + "Ġint val", + "0 87", + "08 7", + "Vis it", + "Vi sit", + "Ġinvest igated", + "Ġinvestig ated", + "Ġinvestigate d", + "Ġpen tru", + "Ġpent ru", + "ĠThe atre", + "andid ates", + "andidate s", + "andi dates", + "L ang", + "La ng", + "Ġ Serv", + "ĠS erv", + "ĠSe rv", + "ĠSer v", + "Ġ controllers", + "Ġcont rollers", + "Ġcontrol lers", + "Ġcontroller s", + "Ġ setTitle", + "Ġset Title", + "N P", + "a my", + "am y", + "f lat", + "fl at", + "( ui", + "(u i", + "0 69", + "06 9", + "_ document", + "_d ocument", + "_doc ument", + "è ĥ½", + "èĥ ½", + "Ġ Coin", + "ĠC oin", + "ĠCo in", + "ĠAd ams", + "ĠAdam s", + "ĠAda ms", + "p tic", + "pt ic", + "Ġ productive", + "Ġpro ductive", + "Ġproduct ive", + "Ġprod uctive", + "Ġaccompl ished", + "Ġaccomplish ed", + "čĊ čĊčĊčĊ", + "čĊčĊ čĊčĊ", + "čĊčĊčĊ čĊ", + "Ġde ferred", + "Ġdefer red", + "i entes", + "ient es", + "ien tes", + "iente s", + "Ġs inc", + "Ġsi nc", + "Ġsin c", + "ol ars", + "olar s", + "ola rs", + "Right arrow", + "Ġvar iations", + "Ġvari ations", + "Ġvariation s", + "( offset", + "(o ffset", + "(off set", + "9 57", + "95 7", + ". LayoutInflater", + ".Layout Inflater", + "Ġ suspend", + "Ġs uspend", + "Ġsus pend", + "Ġsusp end", + "Ġpre vention", + "Ġprevent ion", + "Ġprev ention", + "_ private", + "_pr ivate", + "_priv ate", + "_ js", + "_j s", + "â ĺħ", + "âĺ ħ", + "Ġw ieder", + "Ġwie der", + "Ġwi eder", + "at um", + "atu m", + "Ĵ Į", + "Ġappear ances", + "Ġappearance s", + ". Document", + ".D ocument", + ".Doc ument", + "Ġvalid ates", + "Ġvalidate s", + "Ġvalida tes", + "c alendar", + "cal endar", + "} \";Ċ", + "}\" ;Ċ", + ". demo", + ".d emo", + ".de mo", + "con ut", + "co nut", + "Ġcor rection", + "Ġcorrect ion", + "Ġcorre ction", + "Ġcorr ection", + "Ġ Deal", + "ĠDe al", + "Ġbatter ies", + "Ġbatt eries", + ". duration", + ".d uration", + ", \\", + "_ marker", + "_m arker", + "_mark er", + "_mar ker", + "m ulti", + "mul ti", + "mult i", + "Ġ halt", + "Ġh alt", + "Ġha lt", + "Ġhal t", + "Ġ cms", + "Ġc ms", + "Ġcm s", + "Ġsh aped", + "Ġshape d", + "Ġsha ped", + "B ro", + "Br o", + "re duce", + "red uce", + "Ġ ####", + "Ġ# ###", + "Ġ## ##", + "Ġ### #", + "C TOR", + "CT OR", + "Ġ Benef", + "ĠB enef", + "ĠBen ef", + "ĠBene f", + "Ġicon ic", + "Ġic onic", + "Ġp iano", + "Ġpi ano", + "Ġpian o", + "Ġeffect iveness", + "Ġeffective ness", + "| .Ċ", + "|. Ċ", + "Ġ ajax", + "Ġa jax", + "Ġaj ax", + "Ġv olumes", + "Ġvol umes", + "Ġvolume s", + "Ġvolum es", + "ภ¡", + "Ġ cljs", + "Ġcl js", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "a ths", + "at hs", + "ath s", + "r aits", + "ra its", + "rait s", + "rai ts", + "å¤ §", + "Ñ ĸ", + "_ mult", + "_m ult", + "_mul t", + "_mu lt", + "Ġfasc inating", + "A verage", + "Ġp ré", + "Ġpr é", + "ĠChair man", + ".find Element", + "_ pin", + "_p in", + "_pi n", + "Ġcom paring", + "Ġcomp aring", + "Ġcompar ing", + "Ġdark ness", + "- Fi", + "-F i", + "- server", + "-s erver", + "-ser ver", + "Ġselect ing", + "s terdam", + "ster dam", + "Ġ Parts", + "ĠP arts", + "ĠPart s", + "ĠPar ts", + "ĠPa rts", + "FORM ATION", + "FORMAT ION", + "Ġn oting", + "Ġnot ing", + "Ġno ting", + "Ġ pile", + "Ġp ile", + "Ġpi le", + "Ġpil e", + "o gs", + "og s", + "Ġ palette", + "Ġp alette", + "Ġpa lette", + "Ġpal ette", + "Ġpale tte", + "_ do", + "_d o", + "it ize", + "iti ze", + "0 79", + "07 9", + "( )(", + "() (", + "Ġdef ining", + "Ġdefin ing", + "Ġ remainder", + "Ġremain der", + "Un its", + "Unit s", + "Uni ts", + "_ TASK", + "_T ASK", + "_TA SK", + "Http Client", + "S ocial", + "So cial", + "Ġf undra", + "Ġfun dra", + "Ġfund ra", + "N R", + "c hest", + "ch est", + "che st", + "ches t", + "C urrency", + "Curr ency", + ". adapter", + ".ad apter", + "Ġd op", + "Ġdo p", + "un ting", + "unt ing", + "ANG UAGE", + "\" He", + "\"H e", + "ĉ index", + "ĉin dex", + "_ package", + "_p ackage", + "_pack age", + ". Icon", + ".I con", + "Ġre pet", + "Ġrep et", + "Ġrepe t", + "m ass", + "ma ss", + "mas s", + "= \".$", + "=\" .$", + "=\". $", + "ĠS ud", + "ĠSu d", + "Ġ lid", + "Ġl id", + "Ġli d", + "pro vince", + "prov ince", + "ì ľ", + "G PIO", + "GP IO", + "Ð ļ", + "Ġ MySQL", + "ĠMy SQL", + "Ġ docs", + "Ġd ocs", + "Ġdo cs", + "Ġdoc s", + "Ġ GA", + "ĠG A", + "Ġip sum", + "Ġips um", + "K ernel", + "Ġac cepts", + "Ġaccept s", + "Ġf itting", + "Ġfit ting", + "Ġcu ando", + "Ġd uplic", + "Ġdup lic", + "ĠBr other", + "ĠBro ther", + "ĠK le", + "ĠKl e", + "n ums", + "num s", + "nu ms", + "Ġ morph", + "Ġm orph", + "Ġmor ph", + "Ġ ########", + "Ġ# #######", + "Ġ## ######", + "Ġ### #####", + "Ġ#### ####", + "Ġ##### ###", + "Ġ CGPoint", + "ĠCG Point", + "< unsigned", + "ä¾ ĭ", + "ĠD uke", + "ĠDu ke", + ".set Bounds", + "q s", + "o ric", + "or ic", + "ori c", + "j er", + "je r", + "Ġreg arded", + "Ġregard ed", + "Http Request", + "Ġb onds", + "Ġbo nds", + "Ġbon ds", + "Ġbond s", + "Ġthorough ly", + "en cent", + "ence nt", + "enc ent", + "Ġhighlight ed", + "Ġac res", + "Ġacre s", + "Ġwork place", + "Ġ Lux", + "ĠL ux", + "ĠLu x", + "Ġ quot", + "Ġqu ot", + "Ġquo t", + "9 86", + "98 6", + ". inflate", + ".in flate", + ".inf late", + "Ġd ocumented", + "Ġdocument ed", + "Ġadd iction", + "Ġaddict ion", + "Ġ mutation", + "Ġm utation", + "Ġmut ation", + ". city", + ".c ity", + ".ci ty", + "Ġbott les", + "Ġbottle s", + "Ġ Repository", + "ĠRe pository", + "ĠRepos itory", + "o nn", + "on n", + "err no", + "ARI ABLE", + "åº ¦", + "_ BEGIN", + "_B EGIN", + "_BE GIN", + "g las", + "gl as", + "' })Ċ", + "'} )Ċ", + "'}) Ċ", + "Ġ Massage", + "ĠM assage", + "ĠMass age", + "ĠMas sage", + "ĠW hit", + "ĠWh it", + "reg ex", + "W A", + "Ġout let", + "- head", + "-h ead", + "-he ad", + "Ġ expired", + "Ġex pired", + "Ġexp ired", + "Ġexpire d", + "Ġ Thai", + "ĠT hai", + "ĠTh ai", + "/ include", + "/in clude", + "/inc lude", + "g radient", + "grad ient", + "s canf", + "scan f", + "Ġs eam", + "Ġse am", + "Ġsea m", + "w al", + "wa l", + "ĉ buf", + "ĉb uf", + "B earer", + "Be arer", + "Bear er", + "Ġprec ious", + "Ġprecio us", + "i facts", + "if acts", + "ifact s", + "ifa cts", + "c oord", + "co ord", + "Ġexpl oration", + "Ġexplo ration", + "Ġexplor ation", + ". getY", + ".get Y", + "( handle", + "(h andle", + "(hand le", + "T opic", + "To pic", + "Top ic", + "Ġ Vent", + "ĠV ent", + "ĠVen t", + "ĠVe nt", + "r hs", + "rh s", + "- -----Ċ", + "-- ----Ċ", + "---- --Ċ", + "--- ---Ċ", + "----- -Ċ", + "------ Ċ", + "Ġ Bright", + "ĠB right", + "ĠBr ight", + "ĠBrig ht", + "ĠBri ght", + "Ġ guild", + "Ġg uild", + "Ġgu ild", + "Ġgui ld", + "m other", + "mo ther", + "mot her", + "moth er", + "st orm", + "sto rm", + "stor m", + "Ġmunicip al", + "Ġ ink", + "Ġin k", + "Ġi nk", + ". TYPE", + ".T YPE", + "w l", + ".. . < /", + "_ ro", + "_r o", + "( (*", + "(( *", + "? ???", + "?? ??", + "??? ?", + "_ vertex", + "_ver tex", + "_vert ex", + "ke it", + "ĠH alloween", + "T I", + "Ġ Va", + "ĠV a", + "_ car", + "_c ar", + "_ca r", + "=\" {{$", + "=\"{{ $", + "=\"{ {$", + "Ġrandom ly", + "а ние", + "ан ие", + "ани е", + "Ġsh ocked", + "Ġshock ed", + "ĠPok émon", + "s ignal", + "sign al", + "sig nal", + "Ġ SDK", + "ĠS DK", + "ĠSD K", + "m iddleware", + "middle ware", + "Ġt reating", + "Ġtr eating", + "Ġtreat ing", + "Ġtre ating", + "Ġbur ned", + "Ġburn ed", + "De partment", + "Dep artment", + "Depart ment", + "ĠS pect", + "ĠSp ect", + "ĠSpec t", + "ĠSpe ct", + "Ġ cliente", + "Ġcl iente", + "Ġclient e", + "Ġcli ente", + "Ġ Reddit", + "ĠRe ddit", + "ĠRed dit", + "_ avg", + "_a vg", + "_av g", + "Ġinst alling", + "Ġinstall ing", + "Ġinstal ling", + "_ alpha", + "_al pha", + ", data", + ",d ata", + "Ġ setId", + "Ġset Id", + "Ġ ListView", + "ĠList View", + "( property", + "(p roperty", + "(pro perty", + "(prop erty", + "Ġcross ing", + "Ġ Obj", + "ĠO bj", + "ĠOb j", + "ĠW ard", + "ĠWar d", + "ĠWa rd", + "ĠRedirect To", + "Ġ Present", + "ĠP resent", + "ĠPres ent", + "ĠPre sent", + "Ġdr aws", + "Ġdraw s", + "Ġdra ws", + "ched uled", + "chedule d", + "Ġlegisl ative", + "Ġtw ist", + "Ġ Stra", + "ĠS tra", + "ĠSt ra", + "ĠStr a", + "Ġ AFP", + "ĠA FP", + "ĠAF P", + "ĠC hap", + "ĠCh ap", + "ĠCha p", + "- pr", + "-p r", + ": CGRect", + "Ġ ces", + "Ġc es", + "Ġce s", + "R outes", + "Route s", + "Ro utes", + "n of", + "no f", + "Ġ visa", + "Ġv isa", + "Ġvis a", + "Ġvi sa", + "Ġ TCP", + "ĠT CP", + "ĠTC P", + "ĠE VEN", + "ĠEV EN", + "ĠEVE N", + "iv ial", + "ivia l", + "ivi al", + "Ġ Letter", + "ĠL etter", + "ĠLet ter", + "R AY", + "RA Y", + "Ġ implode", + "Ġim plode", + "Ġimpl ode", + ". eq", + ".e q", + "= '+", + "=' +", + "Ġmot ivated", + "Ġmotiv ated", + "Ġmotivate d", + ". visible", + ".v isible", + ".vis ible", + ". short", + ".s hort", + ".sh ort", + "> manual", + "Ġ Technical", + "ĠTechn ical", + "Ġcorpor ation", + "Ġcorp oration", + "Ġcorpo ration", + "Ġ HW", + "ĠH W", + "an ka", + "ank a", + "T AIL", + "TA IL", + "is tas", + "ist as", + "ista s", + "Ġper forms", + "Ġperform s", + "Ġperfor ms", + "Ġ Behavior", + "ĠBeh avior", + ". For", + ".F or", + "_ ORDER", + "_OR DER", + "_ORD ER", + "Ġ Kick", + "ĠK ick", + "ĠKi ck", + "Ġ callbacks", + "Ġcall backs", + "Ġcallback s", + "_ dr", + "_d r", + "u ego", + "ue go", + "h ub", + "hu b", + "uff icient", + "s ky", + "sk y", + "Ġ bp", + "Ġb p", + "h table", + "ht able", + "hta ble", + "Ġ ONLY", + "ĠON LY", + "ĠAUTH ORS", + "ĠAUTHOR S", + ". Argument", + ".Arg ument", + "\" };Ċ", + "\"} ;Ċ", + "Ġ Thunder", + "ĠTh under", + "ĠThu nder", + "Ġ Kom", + "ĠK om", + "ĠKo m", + ". Should", + ".Sh ould", + "A UTH", + "AU TH", + "AUT H", + "a hu", + "ah u", + "_ payment", + "_p ayment", + "_pay ment", + "Ġ starter", + "Ġst arter", + "Ġstart er", + "Ġstar ter", + "ìĦ ľ", + "ìļ ©", + "B log", + "Bl og", + "Blo g", + ". patch", + ".p atch", + ".pat ch", + "Ġgover ned", + "Ġgovern ed", + "as sy", + "ass y", + "- found", + "-f ound", + "Ġthe ater", + "Ġtheat er", + "ĠFont Weight", + "Ġ Batman", + "ĠBat man", + "\" If", + "\"I f", + ". Random", + ".R andom", + "_ delta", + "_d elta", + "_del ta", + "Ġ CE", + "ĠC E", + "Auth enticated", + "Authenticate d", + "Ġd rone", + "Ġdr one", + "Ġdro ne", + "Ġc ous", + "Ġco us", + "Ġcou s", + "r adius", + "rad ius", + "radi us", + "M er", + "Me r", + "( None", + "(N one", + "Ġ NJ", + "ĠN J", + "_ headers", + "_header s", + "_head ers", + "_he aders", + "Ġ amer", + "Ġa mer", + "Ġam er", + "py test", + "Ġ Actions", + "ĠA ctions", + "ĠAct ions", + "ĠAction s", + "ĉ ĉĉĠĠĠĠ", + "ĉĉ ĉĠĠĠĠ", + "ĉĉĉ ĠĠĠĠ", + "ĉĉĉĠĠĠ Ġ", + "ĉĉĉĠ ĠĠĠ", + "ĉĉĉĠĠ ĠĠ", + "Ġ ett", + "Ġe tt", + "Ġet t", + "Ġh oly", + "Ġho ly", + "Ġhol y", + "Ġun comfort", + "ĠN in", + "ĠNi n", + "Ġ Decimal", + "ĠD ecimal", + "ĠDe cimal", + "ĠDec imal", + "Ġ Messages", + "ĠM essages", + "ĠMessage s", + "ĠMess ages", + ". sender", + ".s ender", + ".se nder", + ".send er", + "] ])Ċ", + "]] )Ċ", + "]]) Ċ", + "Ġem brace", + "Ġemb race", + "Ġembr ace", + "Th ough", + "Tho ugh", + "/ sp", + "/s p", + "Ġcult ures", + "Ġculture s", + "Ġcul tures", + "Ġhigh way", + "t ar", + "ta r", + ". fail", + ".f ail", + ".fa il", + "_ hidden", + "_h idden", + "_hi dden", + "_hid den", + "ĠcomponentDid Mount", + "ĠW right", + "ĠWr ight", + "Ġj ag", + "Ġja g", + "_ il", + "_i l", + "../ ../../", + "../../ ../", + "i gu", + "ig u", + "F ood", + "Foo d", + "Fo od", + "Ġ ace", + "Ġa ce", + "Ġac e", + "Ġa ños", + "Ġaño s", + "Ġañ os", + "U SD", + "US D", + "Ġmut ual", + "Ġmu tual", + "Log ic", + "Ġt emple", + "Ġtem ple", + "Ġtemp le", + "Ġtempl e", + "Ġbrief ly", + "Ġ Trip", + "ĠT rip", + "ĠTr ip", + "ĠTri p", + "class method", + "default s", + "Ġ chunks", + "Ġch unks", + "Ġchunk s", + ", ,,,", + ",, ,,", + ",,, ,", + "Ġ Reason", + "ĠRe ason", + "$ id", + "$i d", + "- ups", + "-up s", + "-u ps", + "Ġ damn", + "Ġda mn", + "Ġdam n", + "Ġtr ucks", + "Ġtruck s", + "Ġun limited", + "Ġunl imited", + "Ġsc ulpt", + "Ġ Cards", + "ĠC ards", + "ĠCar ds", + "ĠCard s", + "Ġ autor", + "Ġa utor", + "Ġaut or", + "Ġauto r", + "Ġau tor", + "Ġ Testing", + "ĠT esting", + "ĠTest ing", + "ĠTes ting", + "Ġd iese", + "Ġdi ese", + "Ġdie se", + "Ġdies e", + "sh ops", + "shop s", + "ç ´", + "( payload", + "(p ayload", + "Ġ PATH", + "ĠP ATH", + "ĠPA TH", + "ĠPAT H", + "ĠMem orial", + "ĠMemo rial", + "ĠMemor ial", + "Ġridic ulous", + "e gree", + "eg ree", + "egr ee", + "-w inning", + "-win ning", + "Ġre hab", + "Ġreh ab", + "Ġsophistic ated", + "w pdb", + "wp db", + "ĉ path", + "ĉp ath", + "! \";Ċ", + "!\" ;Ċ", + "_ SYS", + "_S YS", + "_SY S", + ". speed", + ".s peed", + ".sp eed", + "Ġ soap", + "Ġso ap", + "s uffix", + "W rap", + "Wr ap", + "Ġenh ancement", + "Ġenhance ment", + "à ī", + "ú b", + "Ġ playlist", + "Ġplay list", + "Ġmix ing", + "Ġmi xing", + "Ġmixin g", + "ant idad", + "anti dad", + "=\" \";Ċ", + "=\"\" ;Ċ", + "Ġ Revision", + "ĠRe vision", + "ĠRev ision", + "Ġ Beat", + "ĠB eat", + "ĠBe at", + "ĠBea t", + ". inc", + ".in c", + ".i nc", + "- way", + "-w ay", + "e ncias", + "enc ias", + "encia s", + "enci as", + "u lers", + "ul ers", + "ule rs", + "uler s", + "C at", + "Ca t", + "i del", + "id el", + "ide l", + "Ġ Ship", + "ĠS hip", + "ĠSh ip", + "ĠShi p", + ". setColor", + ".set Color", + "Ġthreat ening", + "Ġthreaten ing", + ". modules", + ".module s", + ".mod ules", + "Ġafter wards", + "Ġafterward s", + "Ġ Dashboard", + "ĠD ashboard", + "ĠDash board", + "Ċ ĠĊ", + "S ignal", + "Sign al", + "Sig nal", + "Ġ primer", + "Ġpr imer", + "Ġprim er", + "Ġprime r", + "Ġpri mer", + "or neys", + "orney s", + "orne ys", + "ici ary", + "icia ry", + "iciar y", + "Ġ ligne", + "Ġl igne", + "Ġli gne", + "Ġlig ne", + "Ġlign e", + "_ predict", + "_p redict", + "_pre dict", + "_pred ict", + "Ġa est", + "Ġae st", + "Ġaes t", + "_ https", + "_http s", + "_ht tps", + "> :", + "Ġ Lex", + "ĠL ex", + "ĠLe x", + "Ġren contres", + "Ġrencont res", + "Ġrencontre s", + "Ġrencontr es", + "eg ral", + "egr al", + "egra l", + "s cala", + "sc ala", + "scal a", + "_ family", + "_f amily", + "ÃŁ en", + "ÃŁe n", + "_ sym", + "_s ym", + "_sy m", + "Ġunc ertainty", + "Ġuncert ainty", + "Ġuncertain ty", + "Ġ VALUE", + "ĠVAL UE", + "Ġ };čĊčĊ", + "Ġ} ;čĊčĊ", + "Ġ};čĊ čĊ", + "Ġ}; čĊčĊ", + "Ġbr oader", + "Ġbro ader", + "Ġbroad er", + "Ġh orses", + "Ġhor ses", + "Ġhorse s", + "Ġhors es", + "ãģ Ŀ", + "Ġ Kal", + "ĠK al", + "ĠKa l", + "o ba", + "ob a", + "_ INET", + "_IN ET", + "_I NET", + "Ġ Kill", + "ĠK ill", + "ĠKi ll", + "ĠKil l", + "j query", + "a mination", + "am ination", + "amin ation", + "ami nation", + "amina tion", + "[ @\"", + "[@ \"", + "Ġm uj", + "Ġmu j", + "# ##Ċ", + "## #Ċ", + "### Ċ", + "First OrDefault", + "then Return", + "C he", + "Ch e", + "/ footer", + "/f ooter", + "/foo ter", + "Ġp arks", + "Ġpar ks", + "Ġpark s", + "as je", + "ĠG ulf", + "ĠGu lf", + "ĠGul f", + "Ġmod est", + "Ġmode st", + "Ġmo dest", + "Ġmodes t", + ". Init", + ".I nit", + ".In it", + "ï¼Ł ĊĊ", + "ï¼ŁĊ Ċ", + "Ġpros pects", + "Ġprospect s", + "Ġ svg", + "Ġs vg", + "Ġsv g", + "Ġ åı", + "Ġå ı", + ". Dialog", + ".D ialog", + ".Di alog", + ".Dial og", + "_ NET", + "_N ET", + "_NE T", + "Ġ (($", + "Ġ( ($", + "Ġ(( $", + "Ġ ek", + "Ġe k", + "Ġ Warning", + "ĠW arning", + "ĠWar ning", + "ĠWarn ing", + "Ġ MK", + "ĠM K", + "< LM", + "", + ")= >", + "Ġ Repair", + "ĠRe pair", + "ĠRep air", + "_ BE", + "_B E", + "B rand", + "Br and", + "u art", + "ua rt", + "uar t", + "p review", + "pr eview", + "pre view", + "prev iew", + "Ġiniti atives", + "Ġinitiative s", + "r unning", + "run ning", + "b ang", + "ba ng", + "ban g", + "ĉ update", + "ĉup date", + "Ġ Coach", + "ĠCo ach", + "R ich", + "Ġ youtube", + "Ġy outube", + "Ġyou tube", + "Ġrit ual", + "Ġri tual", + "ap pa", + "app a", + "ĠRob inson", + "ĠRobin son", + "p recision", + "pre cision", + "prec ision", + "//// ////////////////////////////////////////////////////////////////////////", + "//////// ////////////////////////////////////////////////////////////////////", + "//////////////// ////////////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////// ////////////", + "//////////// ////////////////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////////////// ////", + "//////////////////////////////////////////////////////////////////// ////////", + "//////////////////////////////////////////////////////////// ////////////////", + "= []Ċ", + "=[ ]Ċ", + "=[] Ċ", + "Ġcelebr ated", + "Ġcelebrate d", + "O TO", + "OT O", + "Ġin clusion", + "Ġincl usion", + "Ġinclus ion", + "J P", + "' ;čĊčĊ", + "'; čĊčĊ", + "';čĊ čĊ", + "Ġnot able", + "Ġno table", + "Ġnota ble", + "( _.", + "(_ .", + "Man aged", + "Manage d", + "Mana ged", + "Ġgu ides", + "Ġguide s", + "Ġguid es", + "Ġgui des", + "& nbsp", + "ated Route", + "Ġ Adjust", + "ĠAd just", + "ĠAdj ust", + "Ġcol ored", + "Ġcolor ed", + "Ġcolore d", + "_ scores", + "_s cores", + "_score s", + "_sc ores", + "Ġ Tesla", + "ĠTe sla", + "ĠTes la", + "_ progress", + "_pro gress", + "_prog ress", + ". inst", + ".in st", + ".i nst", + ".ins t", + "[ '_", + "[' _", + ". flags", + ".f lags", + ".fl ags", + ".flag s", + "Ġ fclose", + "Ġf close", + "Ġfc lose", + "_ OPER", + "_O PER", + "_OP ER", + "ż y", + "_ note", + "_n ote", + "_no te", + "_not e", + "Ġtrans gender", + "å ķ", + "RI PT", + "Ġab sent", + "Ġabs ent", + "Ġ amet", + "Ġa met", + "Ġam et", + "Ġ operand", + "Ġoper and", + "Ġopera nd", + "ë ©", + "Ġ hood", + "Ġh ood", + "Ġho od", + "to LowerCase", + "a vo", + "av o", + "ĠC ircuit", + "ĠCirc uit", + "ĠL ind", + "ĠLin d", + "ĠLi nd", + "-- }}Ċ", + "= m", + "Ġ suppress", + "Ġsup press", + "Ġsupp ress", + "Ġ MAP", + "ĠM AP", + "ĠMA P", + "i ang", + "ia ng", + "ian g", + "- admin", + "-ad min", + "Ġ sidebar", + "Ġs idebar", + "Ġside bar", + "Ġ Bu", + "ĠB u", + "Ġ Hex", + "ĠH ex", + "ĠHe x", + ", F", + "Ġ Signal", + "ĠS ignal", + "ĠSign al", + "ĠSig nal", + "Ġtrans parency", + "ĠF ederation", + "ĠFeder ation", + "ĠFed eration", + "/ V", + "R eq", + "Re q", + "Ġ pulse", + "Ġp ulse", + "Ġpul se", + "Ġpu lse", + "Ġpuls e", + "Ġt ends", + "Ġte nds", + "Ġten ds", + "Ġtend s", + "Number s", + "Num bers", + "% '", + "Ġde port", + "Ġdep ort", + "d atas", + "data s", + "da tas", + "dat as", + "_ UINT", + "_U INT", + "_UI NT", + "_ tra", + "_t ra", + "_tr a", + "o ko", + "ok o", + "Ġ \"?", + "Ġ\" ?", + "com pet", + "comp et", + "so lete", + "sole te", + "sol ete", + "un dry", + "und ry", + "Ġ overlap", + "Ġover lap", + "Ġoverl ap", + "} `,Ċ", + "}` ,Ċ", + "}`, Ċ", + ". ly", + ".l y", + "_ summary", + "_sum mary", + "Ġ Lost", + "ĠL ost", + "ĠLo st", + "ĠLos t", + ". Center", + ".C enter", + "Ġdis ability", + ". Serialization", + ".S erialization", + ".Serial ization", + "Ġ geom", + "Ġge om", + "Ġgeo m", + "Ġ ?:", + "Ġ? :", + "Ġ Wo", + "ĠW o", + "Ġsh ipped", + "Ġship ped", + "Ĥ æķ°", + "Ġu gly", + "Ġug ly", + "Ġugl y", + "Ġexcit ement", + "Ġex terior", + "Ġext erior", + "Ġexter ior", + "Ġ checkout", + "Ġcheck out", + "Ġ kur", + "Ġk ur", + "Ġku r", + ", D", + "ĠAl aska", + "ĠAla ska", + "Ġsyn thetic", + "Ġsynth etic", + "Ġsynt hetic", + "Ġ Budget", + "ĠB udget", + "ĠBud get", + "Ġ Subscribe", + "ĠSub scribe", + "Ġ &Ċ", + "Ġ& Ċ", + "ÈĻ i", + "Ġ Yu", + "ĠY u", + "ĉ query", + "} .Ċ", + "}. Ċ", + "Ġtr aged", + "Ġtra ged", + "Ġtrag ed", + "as sen", + "ass en", + "asse n", + "Ġaccom modation", + "Ġaccommod ation", + "Ġphys ician", + "Ġphysic ian", + "Ġre named", + "Ġren amed", + "Ġrename d", + "Ġt idak", + "Ġtid ak", + "z Äħ", + "Ġ minus", + "Ġm inus", + "Ġmin us", + "n ych", + "ny ch", + "0 97", + "09 7", + "_EX CEPTION", + "th reads", + "thread s", + "Ġt ire", + "Ġti re", + "Ġtir e", + "_ created", + "_c reated", + "_create d", + "_cr eated", + "_cre ated", + "en sure", + "ens ure", + "Ġ worthy", + "Ġw orthy", + "Ġwor thy", + "Ġworth y", + "Ġexc use", + "Ġ cloth", + "Ġc loth", + "Ġcl oth", + "Ġclo th", + "Ġclot h", + ". parentNode", + ".parent Node", + "/ platform", + "/pl atform", + "ĠU FC", + "ĠUF C", + "Ġ Gtk", + "ĠG tk", + "un ny", + "unn y", + "Ġg ibt", + "Ġgi bt", + "Ġgib t", + "ke ley", + "kel ey", + "h um", + "hu m", + "( tx", + "(t x", + "ĉ dev", + "ĉd ev", + "ĉde v", + "Ġout fit", + "Ġoutf it", + "do ors", + "door s", + "Ġ fon", + "Ġf on", + "Ġfo n", + "i cut", + "ic ut", + "v olatile", + "vol atile", + "Ġhom osex", + "Ġhomo sex", + "Max imum", + "Ġex pend", + "Ġexp end", + "Ġ });ĊĊĊ", + "Ġ} );ĊĊĊ", + "Ġ});Ċ ĊĊ", + "Ġ});ĊĊ Ċ", + "Ġ}) ;ĊĊĊ", + "Ġ}); ĊĊĊ", + "E q", + "on ders", + "ond ers", + "onder s", + "onde rs", + "de partment", + "dep artment", + "depart ment", + "Ġ Physics", + "ĠPh ysics", + "ĠPhys ics", + "\" });Ċ", + "\"} );Ċ", + "\"}) ;Ċ", + "Ġpar ad", + "Ġpara d", + "Ġpa rad", + ". Str", + ".S tr", + ".St r", + "Ġs ele", + "Ġse le", + "Ġsel e", + "IF IED", + "IFI ED", + "Ġdel ivers", + "Ġdeliver s", + "i van", + "iv an", + "iva n", + "Ġrespons ibilities", + "Ġadvoc ates", + "Ġadvocate s", + "è µ", + "Ġ RID", + "ĠR ID", + "ĠRI D", + ". parameters", + ".param eters", + ".parameter s", + "M etrics", + "Met rics", + "Metric s", + "ron ics", + "ronic s", + "Ġ UITableViewCell", + "ĠUI TableViewCell", + "ĠUITableView Cell", + "A bsolute", + "Abs olute", + "ip se", + "ips e", + "y lum", + "yl um", + "ML Element", + "MLE lement", + "_ VALID", + "_VAL ID", + "< title", + " \\<^", + ">\\< ^", + "Ġ ios", + "Ġi os", + "Ġio s", + "s ound", + "so und", + "sou nd", + "\" ];", + "\"] ;", + "Ġf reed", + "Ġfr eed", + "Ġfree d", + "Ġfre ed", + "r ottle", + "rot tle", + "rott le", + "Ġ Lower", + "ĠL ower", + "ĠLo wer", + "ĠLow er", + "ĠLowe r", + "[ count", + "[c ount", + "å Ŀ", + "Ġp ale", + "Ġpa le", + "Ġpal e", + "ĠW ayne", + "ĠWay ne", + "ĠWa yne", + "e arth", + "ear th", + "_ categories", + "_c ategories", + "U CK", + "UC K", + ". metadata", + ".m etadata", + ".meta data", + ".met adata", + "Ġsum mon", + "Ġsumm on", + "H OME", + "HO ME", + "олÑĮ з", + "Ġmanufact ured", + "Ġmanufacture d", + "Ġ dock", + "Ġd ock", + "Ġdo ck", + "Ġdoc k", + "Ġcompet itors", + "Ġcompetitor s", + "Ġcompetit ors", + "_ MODEL", + "_MODE L", + "_MO DEL", + "_MOD EL", + "ok ia", + "oki a", + "Ġ Hey", + "ĠH ey", + "ĠHe y", + "Î ¿", + "Ġ backward", + "Ġback ward", + "ĠPO SS", + "ĠPOS S", + "r opa", + "ro pa", + "rop a", + "Ġ cri", + "Ġc ri", + "Ġcr i", + "_ OBJ", + "_O BJ", + "Trans port", + "- high", + "-h igh", + "Ġerot ik", + "Ġero tik", + "_ slot", + "_s lot", + "_sl ot", + "Ġ artic", + "Ġar tic", + "Ġart ic", + "_ framework", + "_f ramework", + "_frame work", + "_fr amework", + "-s erif", + "-se rif", + "-ser if", + "ĠSql DbType", + "' )(", + "') (", + "+ \"/", + "+\" /", + "Ġw ore", + "Ġwor e", + "Ġwo re", + "S il", + "Si l", + "Ġst oring", + "Ġstor ing", + "Ġsto ring", + "Ġ Phase", + "ĠPh ase", + "u ant", + "ua nt", + "uan t", + "Ġb ump", + "Ġbu mp", + "Ġbum p", + "in ho", + "inh o", + "Ġd ign", + "Ġdi gn", + "Ġdig n", + "Ġ backs", + "Ġb acks", + "Ġback s", + "Ġba cks", + "Ġbac ks", + "q q", + "( hash", + "(h ash", + "(has h", + "Ġ geo", + "Ġg eo", + "Ġge o", + "Ġt ender", + "Ġte nder", + "Ġten der", + "Ġtend er", + "L ogo", + "Log o", + "Lo go", + "! )Ċ", + "!) Ċ", + "Ġ MX", + "ĠM X", + "Ġ Arthur", + "ĠAr thur", + "ĠArt hur", + "ĠArth ur", + "ess oa", + "esso a", + "_ Ch", + "_C h", + "Ġbed rooms", + "Ġbedroom s", + "=\"# \"><", + "=\"#\" ><", + "=\"#\"> <", + "Ġ throat", + "Ġth roat", + "Ġthro at", + "i nsic", + "in sic", + "ins ic", + "insi c", + ". integer", + ".int eger", + "Ġ primitive", + "Ġpr imitive", + "Ġprim itive", + "Truth y", + "Ġfacilit ate", + "Ġfacil itate", + "Ġcre ativity", + "Ġcreat ivity", + "Ġ DNS", + "ĠD NS", + "ĠDN S", + "Ġ gra", + "Ġg ra", + "Ġgr a", + "u ez", + "ue z", + "Ġcount less", + "ĠP oland", + "ĠPol and", + "ĠPo land", + "' M", + "Ġ Dist", + "ĠD ist", + "ĠDis t", + "ĠDi st", + "Ġ vest", + "Ġv est", + "Ġve st", + "Ġves t", + "Ġcert ification", + "Ġcertif ication", + "á» ij", + "h eld", + "he ld", + "hel d", + "ext ensions", + "extension s", + "( static", + "(st atic", + "(stat ic", + "Ġ grades", + "Ġg rades", + "Ġgr ades", + "Ġgrad es", + "Ġgrade s", + "Ġgra des", + "Ġ Uber", + "ĠU ber", + "ĠUb er", + "ãģ Ł", + "Ġ [])Ċ", + "Ġ[ ])Ċ", + "Ġ[] )Ċ", + "Ġ[]) Ċ", + "d atos", + "da tos", + "dat os", + "dato s", + "Ġ getData", + "Ġget Data", + "ĠCh arg", + "ĠChar g", + "ĠCha rg", + "Ġ BS", + "ĠB S", + ".m icrosoft", + ".micro soft", + ". video", + ".v ideo", + ". direction", + ".d irection", + ".dir ection", + ".di rection", + ".direct ion", + "-> {'", + "->{ '", + "l ua", + "lu a", + "a pest", + "ap est", + "ape st", + "apes t", + "Ġbo iler", + "Ġboil er", + "e rek", + "er ek", + "ere k", + "Ġdec ides", + "Ġdecide s", + "Ġdecid es", + ". jar", + ".j ar", + "I SC", + "IS C", + "Ġ Words", + "ĠW ords", + "ĠWord s", + "ĠWor ds", + "( CON", + "(C ON", + "EMPL ATE", + "ree ze", + "s hots", + "sh ots", + "shot s", + "a pps", + "ap ps", + "app s", + "un ted", + "unt ed", + "unte d", + ". setName", + ".set Name", + ": :<", + ":: <", + "- bold", + "-b old", + "-bo ld", + "ê ²", + "å¯ Ĩ", + "Long rightarrow", + "Ġun fair", + "Ġunf air", + "Ġ earning", + "Ġe arning", + "Ġear ning", + "Ġearn ing", + "Ġ shelf", + "Ġsh elf", + "Ġshe lf", + "Ġshel f", + "UR EMENT", + "URE MENT", + "Ġ idle", + "Ġi dle", + "Ġid le", + "_ MENU", + "_M ENU", + "_ME NU", + ". Custom", + ".C ustom", + "A GER", + "AG ER", + "AGE R", + "- \"", + "_ switch", + "_s witch", + "_sw itch", + "b ecause", + "be cause", + "bec ause", + ") view", + ")v iew", + "m are", + "ma re", + "mar e", + "_ condition", + "_con dition", + "_cond ition", + "Ġ Starting", + "ĠStart ing", + "ĠStar ting", + "M vc", + "( pre", + "(p re", + "(pr e", + "d ump", + "du mp", + "dum p", + "_ LOCK", + "_L OCK", + "_LO CK", + "_LOC K", + "at etime", + "ate time", + ". callback", + ".c allback", + ".call back", + "ĠC er", + "ĠCe r", + "o pol", + "op ol", + "opo l", + "ib rary", + "ibr ary", + "Ġ reservation", + "Ġres ervation", + "Ġreserv ation", + "Ġreserva tion", + "ĉ ĉĉĉĉĉĉĊ", + "ĉĉ ĉĉĉĉĉĊ", + "ĉĉĉĉ ĉĉĉĊ", + "ĉĉĉ ĉĉĉĉĊ", + "ĉĉĉĉĉ ĉĉĊ", + "ĉĉĉĉĉĉ ĉĊ", + "ĉĉĉĉĉĉĉ Ċ", + "l ector", + "le ctor", + "lect or", + "lec tor", + "grad uate", + "Ġgener ous", + "Ġgene rous", + "Ġ ion", + "Ġi on", + "Ġio n", + "r icao", + "ri cao", + "ric ao", + "rica o", + "m q", + "_ complete", + "_com plete", + "_comp lete", + "( cursor", + "(c ursor", + "Ġ FormControl", + "ĠForm Control", + ": center", + ":c enter", + "Ġsub stitute", + "Ġsubstit ute", + "Ġ Planning", + "ĠPl anning", + "ĠPlan ning", + "Ġp ension", + "Ġpens ion", + "Ġrecommend ation", + "Ġ Tags", + "ĠT ags", + "ĠTag s", + "ĠTa gs", + "Ġg ef", + "Ġge f", + "Ġ albums", + "Ġalbum s", + "Ġalb ums", + "Ġ washing", + "Ġw ashing", + "Ġwash ing", + "r oc", + "ro c", + "Ġtr ains", + "Ġtrain s", + "Ġtra ins", + "Ġtrai ns", + "a tings", + "at ings", + "ating s", + "atin gs", + "Ġex ponent", + "Ġexp onent", + "ack bar", + "- ln", + "-l n", + "á g", + ".Data Annotations", + "Ġ EIF", + "ĠE IF", + "ĠEI F", + "ĠMal aysia", + "ĠMalays ia", + "ĉ PORT", + "ĉP ORT", + "on us", + "onu s", + "Ġc lever", + "Ġcl ever", + "Ġcle ver", + "Ġp eu", + "Ġpe u", + "> ĊĊĊĊ", + ">Ċ ĊĊĊ", + ">ĊĊ ĊĊ", + ">ĊĊĊ Ċ", + "Ġ Arguments", + "ĠArg uments", + "ĠArgument s", + "Ġdeb ugging", + "Ġdebug ging", + "( right", + "(r ight", + "' D", + "com pute", + "comp ute", + "comput e", + "Ġfin est", + "Ġfine st", + "Ġfi nest", + "Ġfines t", + "OR AGE", + "ORA GE", + "Ġspect acular", + "ph rase", + "Ġin dia", + "Ġind ia", + "Ġlegend ary", + "b irth", + "bir th", + "Ġ composite", + "Ġcom posite", + "Ġcomp osite", + "Ġcompos ite", + "Ġg rows", + "Ġgr ows", + "Ġgrow s", + "Ġgro ws", + "Ġ TD", + "ĠT D", + "Ġe pid", + "Ġep id", + "Ġlaunch ing", + "] ][", + "]] [", + "Min utes", + "Minute s", + "Ġ Cha", + "ĠC ha", + "ĠCh a", + "Ġclean ed", + "Ġcle aned", + "Ġwitness es", + "u kan", + "uk an", + "uka n", + "ĉ Type", + "ĉT ype", + "Ġh abe", + "Ġhab e", + "Ġha be", + "par agraph", + "para graph", + "ĠJ Panel", + "ĠJP anel", + "ĠH ann", + "ĠHa nn", + "ĠHan n", + "Ġvar ied", + "Ġvari ed", + "Ġva ried", + "Ġ Pokemon", + "ĠP okemon", + "ĠPok emon", + "ĠPoke mon", + "ĠM UST", + "ĠMU ST", + "åĬ ¨", + ". visibility", + ".vis ibility", + "op up", + "^ [", + ". expand", + ".exp and", + "Ġ \"',", + "Ġ\" ',", + "Ġ\"' ,", + ".f asterxml", + "_ auto", + "_a uto", + "_aut o", + "Ġ Sheet", + "ĠS heet", + "ĠShe et", + "m arker", + "mark er", + "mar ker", + "Par cel", + "e ws", + "ew s", + "Ġ Strategy", + "ĠStr ategy", + "ĠStrateg y", + "- making", + "-m aking", + "Ġun ve", + "Ġtr ailing", + "Ġtrail ing", + "Ġtra iling", + "Ġtrai ling", + "Ġcl icks", + "Ġclick s", + "Ġcli cks", + "Ġclic ks", + "Ġ GetComponent", + "ĠGet Component", + "ĉ content", + "ĉc ontent", + "ĉcon tent", + "ĉcont ent", + "IG ENCE", + "ER NEL", + "ERN EL", + "NSMutable Array", + "Ġb reat", + "Ġbr eat", + "Ġbre at", + "Ġharm ful", + "¶ Ī", + "Ġbes ides", + "Ġbeside s", + "Ġb oring", + "Ġbo ring", + "Ġbor ing", + "Ġbrut al", + "Ġbru tal", + "v ang", + "va ng", + "van g", + "( parse", + "(p arse", + "(par se", + "qu ick", + "qui ck", + "Ġ pytest", + "Ġpy test", + "Ġpyt est", + "Ġswitch ing", + "( )]Ċ", + "() ]Ċ", + "()] Ċ", + "Ġ ìĦ", + "Ġì Ħ", + "L ER", + "LE R", + "ĉ font", + "ĉf ont", + "Ġ nett", + "Ġn ett", + "Ġne tt", + "Ġnet t", + ") ]ĊĊ", + ")]Ċ Ċ", + ")] ĊĊ", + "( /\\", + "(/ \\", + "æŀ ľ", + "to Array", + "Ġb reed", + "Ġbr eed", + "Ġbre ed", + "Ġbree d", + "Ġ CAR", + "ĠC AR", + "ĠCA R", + "Ġ Weapon", + "ĠWe apon", + "A bs", + "Ab s", + "t ot", + "to t", + "Ġ setName", + "Ġset Name", + "a ptive", + "apt ive", + "Ġ :,", + "Ġ: ,", + "Ġ escaped", + "Ġesc aped", + "Ġescape d", + "Ġescap ed", + "or den", + "ord en", + "orde n", + "Ġ Pri", + "ĠP ri", + "ĠPr i", + "th umbnail", + "Ġde scriptions", + "Ġdes criptions", + "Ġdescription s", + "Ġdescri ptions", + "/ styles", + "/st yles", + "/style s", + "Ġ PCI", + "ĠP CI", + "ĠPC I", + "Ġ alphabet", + "Ġal phabet", + "Ġalpha bet", + "Ġalph abet", + "astic search", + "astics earch", + "N OTE", + "NO TE", + "NOT E", + "Ġc ialis", + "Ġci alis", + "ĠGr iff", + "ĠGri ff", + "Ġp orque", + "Ġpor que", + "Ġprote ins", + "Ġprotein s", + "p lays", + "pl ays", + "play s", + "pla ys", + "Ġst ating", + "Ġstat ing", + "Ġsta ting", + "Ġstati ng", + "Ġim agination", + "Ġimag ination", + "Ġimagin ation", + "Ġf acial", + "Ġfa cial", + "Ġfac ial", + "ĠM echan", + "ĠMe chan", + "ĠMech an", + "ĠMec han", + "Ġarr anged", + "Ġarrang ed", + "Ġarrange d", + "_ used", + "_u sed", + "_us ed", + "_use d", + "Ġarrang ements", + "Ġarrangement s", + "Ġarrange ments", + "Ġ Pipe", + "ĠP ipe", + "ĠPi pe", + "ĠPip e", + "host name", + "Ġpro vinc", + "Ġprov inc", + "T it", + "Ti t", + ".Flat Style", + "Ġ Split", + "ĠS plit", + "ĠSp lit", + "ĠSpl it", + "Ġ Loader", + "ĠL oader", + "ĠLo ader", + "ĠLoad er", + ". cc", + ".c c", + "Ġ clinic", + "Ġcl inic", + "Ġclin ic", + "Ġcli nic", + "-------- --------------------", + "---------------- ------------", + "------------ ----------------", + "------------- ---------------", + "--------------- -------------", + "-------------- --------------", + "-------------------- --------", + "Ġb aking", + "Ġba king", + "Ġbak ing", + "Ġ ENT", + "ĠE NT", + "ĠEN T", + "ne ath", + "nea th", + "ãĢģ ĊĊ", + "ãĢģĊ Ċ", + "A NE", + "AN E", + ".EntityFramework Core", + "a ppers", + "ap pers", + "app ers", + "apper s", + "appe rs", + ". ic", + ".i c", + "Ġ NgModule", + "ĠNg Module", + "Ġ FORM", + "ĠF ORM", + "ĠFOR M", + "ĠFO RM", + "Ġ ';", + "Ġ' ;", + "- profit", + "-pro fit", + "-prof it", + "h w", + "en emy", + "ene my", + "Ġ Eye", + "ĠE ye", + "ĠEy e", + "Ġca ution", + "Ġcaut ion", + "t own", + "to wn", + "Ġur ged", + "Ġurge d", + "Ġurg ed", + "Ġ Jimmy", + "ĠJim my", + "ynchron ous", + "-s ized", + "-size d", + "m aking", + "ma king", + "mak ing", + ", {", + "] ',", + "]' ,", + "_ Object", + "_O bject", + "_Obj ect", + "ah oma", + "aho ma", + "Ġact ivist", + "Ġactiv ist", + "IN VAL", + "INV AL", + "Ġ Commercial", + "ĠCom mercial", + "ĠComm ercial", + "ĠOr lando", + "( tab", + "(t ab", + "Ġ ب", + "ĠØ ¨", + "Al gorithm", + "Ġher itage", + "Get Mapping", + "Ġfail ures", + "Ġfailure s", + "r ios", + "ri os", + "rio s", + "at iva", + "ati va", + "ativ a", + "Ġ tet", + "Ġt et", + "Ġte t", + "Ġcar pet", + "Ġcarp et", + "( Z", + "th ree", + "thr ee", + "Ġdis closure", + "Ġdisc losure", + ". ERROR", + ".ERR OR", + "_ called", + "_c alled", + "_call ed", + "_cal led", + "Ġd ial", + "Ġdi al", + "Ġdia l", + "Ġoccas ional", + "Ġoccasion al", + ". Err", + ".E rr", + "Ġfun cion", + "Ġfunc ion", + "caff old", + "caf fold", + "Ġre leasing", + "Ġrele asing", + "ï¼ī ĊĊ", + "ï¼īĊ Ċ", + "_ Value", + "_V alue", + "_Val ue", + "Ġ Vari", + "ĠV ari", + "ĠVar i", + "ĠVa ri", + "y ellow", + "Ġstrugg les", + "Ġstruggle s", + ". cal", + ".c al", + ".ca l", + "ĠDak ota", + "ĉ close", + "ĉc lose", + "ĉcl ose", + "Ġsand wich", + "Ġ analytics", + "Ġan alytics", + "Ġanaly tics", + "Ġanalytic s", + "Ġ **)", + "Ġ* *)", + "Ġ** )", + "& #", + "Ġ Jos", + "ĠJ os", + "ĠJo s", + "Ġpass ive", + "AT TR", + "ATT R", + "Th rowable", + "Throw able", + "ĠM un", + "ĠMu n", + "Ġ Uint", + "ĠU int", + "ĠUi nt", + "( disposing", + "(dis posing", + "a rak", + "ar ak", + "ara k", + "Ġ Leaders", + "ĠLe aders", + "ĠLeader s", + "ĠLead ers", + "Ġaffect ing", + "Ġitem View", + "Ġe conomics", + "Ġecon omics", + "Ġeconomic s", + "Ġeconom ics", + "f v", + "๠Ģ", + ". rb", + ".r b", + "Ġ Overall", + "ĠOver all", + "Ġwealth y", + "Ġev olved", + "Ġevolve d", + "n da", + "nd a", + "ĠH us", + "ĠHu s", + "re strict", + "u men", + "um en", + "ume n", + "ĠA gricult", + "ĠAgr icult", + "! ĊĊĊ", + "!ĊĊ Ċ", + "!Ċ ĊĊ", + "Ġ expires", + "Ġex pires", + "Ġexp ires", + "Ġexpire s", + "Ġspokes person", + "int erval", + "inter val", + "Ġ â", + "Ġà ¢", + "Ġ queen", + "Ġqu een", + "Ġque en", + "( nil", + "(n il", + "i ngo", + "in go", + "ing o", + "He ap", + "Ù İ", + "Ġcom plain", + "Ġcomp lain", + "Ġcompl ain", + "S ym", + "Sy m", + "Ġ Clone", + "ĠCl one", + "ĠClo ne", + "Ġ Ru", + "ĠR u", + "ĠW ILL", + "ĠWI LL", + "Ġ Crystal", + "ĠCr ystal", + "ĠCry stal", + "/ content", + "/c ontent", + "/con tent", + "i ngen", + "in gen", + "ing en", + "inge n", + "oint ment", + "Last Name", + "av icon", + "avi con", + "avic on", + "Ġ IBM", + "ĠI BM", + "ĠIB M", + "Ġ Dimension", + "ĠD imension", + "ĠDim ension", + "a nh", + "an h", + "ici pants", + "icip ants", + "icipant s", + "Ġ Anne", + "ĠAn ne", + "ĠAnn e", + ". progress", + ".pro gress", + "Ġ algo", + "Ġal go", + "Ġalg o", + "o bil", + "ob il", + "obi l", + "Ġ Voice", + "ĠV oice", + "ĠVo ice", + "Ġ FE", + "ĠF E", + "Ġ gli", + "Ġg li", + "Ġgl i", + "Ġ ved", + "Ġv ed", + "Ġve d", + "Ġpr events", + "Ġpre vents", + "Ġprevent s", + "Ġprev ents", + "\\ Column", + "\\C olumn", + "Ġ folk", + "Ġf olk", + "Ġfol k", + "Ġfo lk", + "e tti", + "et ti", + "ett i", + "Ġ mn", + "Ġm n", + "Ġ CLASS", + "ĠCL ASS", + "Ġdis playing", + "Ġdisplay ing", + "Ġdispl aying", + "ĠK l", + "ĠF err", + "ĠFe rr", + "ĠFer r", + "d uto", + "du to", + ". ib", + ".i b", + "Ġ dados", + "Ġd ados", + "Ġda dos", + "Ġdad os", + "Ġdado s", + "' name", + "'n ame", + "'na me", + "- space", + "-s pace", + "-sp ace", + "Ġit alian", + "Ġitalia n", + "Ġ inverse", + "Ġin verse", + "Ġinv erse", + "Ġinvers e", + "Ġ dense", + "Ġd ense", + "Ġden se", + "Ġdens e", + "u ter", + "ut er", + "ute r", + "Ġ IEnumerator", + "ĠI Enumerator", + "- sign", + "-s ign", + "Ġnation wide", + "Ġ persona", + "Ġperson a", + "Ġpers ona", + "Ġperso na", + "Ġs olved", + "Ġsol ved", + "Ġsolve d", + "Ġdram atically", + "Ġdramatic ally", + "Log out", + "Logo ut", + "Ġ grav", + "Ġg rav", + "Ġgr av", + "Ġgra v", + "Ġanal yses", + "Ġanaly ses", + "Ġanalys es", + "Ġanalyse s", + "ol lo", + "oll o", + "Ġ lamp", + "Ġl amp", + "Ġla mp", + "Ġlam p", + ". team", + ".t eam", + ".te am", + "Ġ Erot", + "ĠE rot", + "ĠEr ot", + "= [\"", + "=[ \"", + "Ġd ancing", + "Ġdan cing", + "Ġ ?>/", + "Ġ? >/", + "Ġ?> /", + "Ġc ater", + "Ġca ter", + "Ġcat er", + "Ġcate r", + "f fe", + "ff e", + "Ġ Sha", + "ĠS ha", + "ĠSh a", + "ĠB os", + "ĠBo s", + "ĠRE QUIRE", + "Ġ Monster", + "ĠMon ster", + "ĠMons ter", + "Ġ RB", + "ĠR B", + "Ġ IDE", + "ĠI DE", + "ĠID E", + "Ġs uits", + "Ġsu its", + "Ġsuit s", + "Ġsui ts", + "Ġ formData", + "Ġform Data", + "( theta", + "(th eta", + "(the ta", + "Ġs patial", + "Ġsp atial", + "Ġspat ial", + "= NULL", + "=N ULL", + "Ġ SqlConnection", + "ĠSql Connection", + "Ġ à", + "ĠV enez", + "ĠVen ez", + "ĠVe nez", + "Ġ Morning", + "ĠM orning", + "ĠMor ning", + "Ġpublic ations", + "Ġpub lications", + "Ġpublication s", + "ĠNON INFRINGEMENT", + "first Name", + "u ds", + "ud s", + "W ould", + "Wo uld", + "_ HEAD", + "_HE AD", + "Ġinv ested", + "Ġinvest ed", + "Ġinve sted", + "s table", + "st able", + "sta ble", + "stab le", + "f red", + "fr ed", + "fre d", + "Ġcomm ander", + "Ġcommand er", + "Ġcomma nder", + "Ġcommande r", + "S ES", + "SE S", + "âĢĶ a", + "an che", + "anc he", + "anch e", + "Ġ Movement", + "ĠM ovement", + "ĠMo vement", + "ĠMove ment", + "ĠMov ement", + "ë ³", + "S uite", + "Su ite", + "Suit e", + "Ġjur isdiction", + "ë ¦¬", + "ë¦ ¬", + "Ġ Beth", + "ĠB eth", + "ĠBe th", + "ĠBet h", + "j Query", + "ĠI sa", + "ĠIs a", + "Ġd ental", + "Ġden tal", + "Ġdent al", + ", *", + "Ġ Limit", + "ĠL imit", + "ĠLim it", + "ĠLi mit", + "il iation", + "ili ation", + "ilia tion", + "= \"{", + "=\" {", + "b ast", + "ba st", + "bas t", + "Ġt urb", + "Ġtu rb", + "Ġtur b", + "i sy", + "is y", + "O OK", + "OO K", + "Ġadv ocate", + "Ġadvoc ate", + "i mag", + "im ag", + "ima g", + "LE CTION", + "LECT ION", + "LEC TION", + "л ÑĮ", + "( category", + "(c ategory", + ". dec", + ".d ec", + ".de c", + "Ġun iqu", + "Ġuni qu", + "Ġuniq u", + "_ sn", + "_s n", + "Ġat tracted", + "Ġattr acted", + "Ġattract ed", + "Ġ Ãī", + "Ġà ī", + "Ġ Running", + "ĠR unning", + "ĠRun ning", + "_ edges", + "_edge s", + "_ed ges", + "Ġ Disable", + "ĠD isable", + "ĠDis able", + "_ AS", + "_A S", + "åĽ ¾", + "Ġnetwork ing", + "Ġnet working", + "_ branch", + "_br anch", + "H aving", + "Ha ving", + "toBe Truthy", + "G I", + "Ġc amps", + "Ġca mps", + "Ġcamp s", + "Ġcam ps", + "s ep", + "se p", + "- part", + "-p art", + "-par t", + "Ġ )ĊĊĊĊĊĊĊĊ", + "Ġ) ĊĊĊĊĊĊĊĊ", + "Ġ)Ċ ĊĊĊĊĊĊĊ", + "Ġ)ĊĊ ĊĊĊĊĊĊ", + "Ġ)ĊĊĊ ĊĊĊĊĊ", + "ustr alia", + "ustral ia", + "Ġ Reports", + "ĠRe ports", + "ĠRep orts", + "ĠReport s", + "ĠRepo rts", + "r ito", + "ri to", + "rit o", + "Ġwa ist", + "_ plus", + "_p lus", + "_pl us", + "Ġ WW", + "ĠW W", + "- person", + "-p erson", + "-per son", + "Ap ril", + "Apr il", + "Ġ sar", + "Ġs ar", + "Ġsa r", + ". tar", + ".t ar", + ".ta r", + "Ġagricult ural", + "Ġagr icultural", + "t ic", + "ti c", + "Ġ tcp", + "Ġt cp", + "Ġtc p", + "Ġ setValue", + "Ġset Value", + "ag ento", + "agent o", + "agen to", + "Ġ Appe", + "ĠA ppe", + "ĠApp e", + "ĠAp pe", + "p iler", + "pi ler", + "pile r", + "C ADE", + "CA DE", + "CAD E", + "Ġ anche", + "Ġan che", + "Ġanch e", + "Ġanc he", + "at cher", + "atch er", + "Ġc omics", + "Ġcom ics", + "Ġcomic s", + "Ġ lbs", + "Ġl bs", + "Ġlb s", + "_ segment", + "_s egment", + "_se gment", + "_seg ment", + "' ]=$", + "'] =$", + "']= $", + "it ters", + "itt ers", + "itter s", + "itte rs", + "i cher", + "ic her", + "ich er", + "iche r", + "G INE", + "GIN E", + "GI NE", + "Ġutil ize", + "Ġutiliz e", + "Ġ Cursor", + "ĠC ursor", + "ĠCurso r", + "_ expression", + "_ex pression", + "_exp ression", + "_expr ession", + "Ġ dag", + "Ġd ag", + "Ġda g", + "< long", + " < ?=", + "> x", + ". Task", + ".T ask", + "m oney", + "mon ey", + "mo ney", + "ib aba", + "iba ba", + "' });Ċ", + "'} );Ċ", + "'}) ;Ċ", + "Ġ Specific", + "ĠS pecific", + "ĠSpec ific", + "Ġ Linear", + "ĠL inear", + "ĠLine ar", + "ĠLin ear", + "ĠLi near", + "_ OPT", + "_O PT", + "_OP T", + "Hash Code", + "( Player", + "(P layer", + ".Contains Key", + "Ġ collapsed", + "Ġc ollapsed", + "Ġcoll apsed", + "Ġcollapse d", + "Ġcollaps ed", + "trans parent", + "_R ANGE", + "View er", + "( cfg", + "(c fg", + "(cf g", + "Ġ sorting", + "Ġs orting", + "Ġsort ing", + "Ġsor ting", + "Ġinf ected", + "Ġinfect ed", + "Ġ Nach", + "ĠN ach", + "ĠNa ch", + "Ġaccommod ate", + ". elements", + ".e lements", + ".element s", + ".el ements", + ".elem ents", + "_ PART", + "_P ART", + "_PA RT", + "_PAR T", + "Ġ Sexy", + "ĠSe xy", + "ĠSex y", + "= get", + "=g et", + "( year", + "(y ear", + "Ġ xhr", + "Ġx hr", + ": ]", + "ow ski", + "ows ki", + "Ġsum mar", + "Ġsumm ar", + "Ġ ¿", + "Ġ ¿", + "Ġ inte", + "Ġin te", + "Ġint e", + "Ġi nte", + "Ġ workflow", + "Ġwork flow", + "ĠTai wan", + "v ersions", + "vers ions", + "version s", + "åı ij", + "Ġsur prisingly", + "Ġsurprising ly", + "Ġop tical", + "Ġopt ical", + "Ġoptic al", + "Ġpro ces", + "Ġproc es", + "Ġdis agree", + "Ġdisag ree", + "Ġn uevo", + "Ġnue vo", + "Ġ CAM", + "ĠC AM", + "ĠCA M", + "s orted", + "sort ed", + "le ases", + "lease s", + "lea ses", + "is tle", + "ist le", + "I dent", + "Id ent", + "Ide nt", + "ĉ event", + "ĉe vent", + "ĉev ent", + "j ected", + "ject ed", + "jec ted", + "Ch unk", + "V ars", + "Var s", + "Va rs", + ". provider", + ".pro vider", + "Ġproceed ings", + "Ġproceeding s", + "Ġ inclusive", + "Ġin clusive", + "Ġincl usive", + "Ġinclus ive", + "Ġart work", + "end ants", + "enda nts", + "endant s", + "ï¼ļ Ċ", + "s een", + "se en", + "see n", + "Ġ lig", + "Ġl ig", + "Ġli g", + "Ġ makers", + "Ġm akers", + "Ġmake rs", + "Ġma kers", + "Ġmaker s", + "Ġmak ers", + "_ fun", + "_f un", + "_fu n", + "Ġlength s", + "Ġleng ths", + "Path Variable", + "[ item", + "[i tem", + "[it em", + "ภµ", + "D ead", + "De ad", + "FF FFFF", + "FFFF FF", + "FFF FFF", + "Ġ Urban", + "ĠUr ban", + "ĠUrb an", + "u ples", + "up les", + "uple s", + "i chen", + "ic hen", + "ich en", + "iche n", + "( nullptr", + "(null ptr", + ". spec", + ".s pec", + ".sp ec", + ", System", + ",S ystem", + "U RATION", + "UR ATION", + "URA TION", + "( job", + "(j ob", + "å¼ ı", + "Ġ tracker", + "Ġtr acker", + "Ġtrack er", + "Ġtra cker", + "Å Ļ", + "Ġ MR", + "ĠM R", + "Ġ SQLite", + "ĠSQL ite", + "ĠSQ Lite", + "Ġ dto", + "Ġd to", + "Ġdt o", + "Ġ ;;Ċ", + "Ġ; ;Ċ", + "Ġ;; Ċ", + "Ġ mint", + "Ġm int", + "Ġmin t", + "Ġmi nt", + "Ġ Introduction", + "ĠInt roduction", + "ĠIntro duction", + "c ao", + "ca o", + "Ġquest ioned", + "Ġquestion ed", + "Ġquesti oned", + "Ġf itted", + "Ġfit ted", + "Ġfitte d", + "re vision", + "rev ision", + "s q", + "Ġm ig", + "Ġmi g", + "_ units", + "_un its", + "_unit s", + "_ async", + "_a sync", + "_as ync", + "Ġf lick", + "Ġfl ick", + "} );ĊĊĊ", + "});Ċ ĊĊ", + "});ĊĊ Ċ", + "}) ;ĊĊĊ", + "}); ĊĊĊ", + "Ġn otre", + "Ġnot re", + "Ġno tre", + "} `,", + "}` ,", + "F ilters", + "Filter s", + "Fil ters", + "Ġm undo", + "Ġmu ndo", + "Ġmund o", + "Ġmun do", + "_ days", + "_d ays", + "_day s", + "_da ys", + "Ġ frm", + "Ġf rm", + "Ġfr m", + "u tc", + "ut c", + "Ġ vals", + "Ġv als", + "Ġval s", + "Ġva ls", + "e width", + "ew idth", + "Ġ Generator", + "ĠG enerator", + "ĠGener ator", + "ĠGen erator", + "Ġ Artist", + "ĠArt ist", + "Ġ IDs", + "ĠI Ds", + "ĠID s", + "Ġ Articles", + "ĠArt icles", + "ĠArticle s", + "re ater", + "reate r", + "reat er", + "rea ter", + "ĠComponent Fixture", + ". =", + "Ġ rou", + "Ġr ou", + "Ġro u", + "- no", + "-n o", + ".b ukkit", + "e gg", + "eg g", + "Ġ Diff", + "ĠD iff", + "ĠDi ff", + "a tics", + "at ics", + "atic s", + "ati cs", + "Ñĥ Ñĩ", + "âĢĶ ĊĊ", + "Ġ Charlotte", + "ĠChar lotte", + "ĠCharl otte", + "b ye", + "by e", + "Ġ });čĊčĊ", + "Ġ} );čĊčĊ", + "Ġ}) ;čĊčĊ", + "Ġ});čĊ čĊ", + "Ġ}); čĊčĊ", + "ĠV ik", + "ĠVi k", + "ĠB row", + "ĠBr ow", + "ĠBro w", + "Ġ lv", + "Ġl v", + "ĠG ib", + "ĠGi b", + "- wing", + "-w ing", + "-win g", + "GL IGENCE", + "( Il", + "(I l", + "ĠEngine er", + ". Wait", + ".W ait", + "Ġ Pictures", + "ĠP ictures", + "ĠPicture s", + "ĠPic tures", + "Ġr het", + "Ġrh et", + "Ġrhe t", + "Ġ thermal", + "Ġth ermal", + "Ġther mal", + "Ġtherm al", + "Ġp raise", + "Ġpr aise", + "Ġpra ise", + "< >();ĊĊ", + "<>();Ċ Ċ", + "<>( );ĊĊ", + "<> ();ĊĊ", + "Ġ Spider", + "ĠSp ider", + "ĠSpi der", + "P ause", + "Pa use", + "ĠB aker", + "ĠBa ker", + "ĠBak er", + "ĠBake r", + "Ġs lower", + "Ġsl ower", + "Ġslow er", + "Ġslo wer", + "Ġ }]Ċ", + "Ġ} ]Ċ", + "Ġ}] Ċ", + "_ enqueue", + "_en queue", + "Ġdis appeared", + "Ġdisappe ared", + "Ġdisappear ed", + "Ġ Ticket", + "ĠT icket", + "ĠTi cket", + "ĠTick et", + "ĠTic ket", + "IN UX", + "INU X", + "_ LOCAL", + "_LO CAL", + "_LOC AL", + "аÑģ Ñģ", + "@Inject able", + "comm unity", + "G estureRecognizer", + "Gesture Recognizer", + "åĽ ½", + "Ġs cales", + "Ġsc ales", + "Ġscale s", + "Ġsca les", + "Ġscal es", + "Ġ -(", + "Ġ- (", + "/ '+", + "/' +", + "Ġ Sit", + "ĠS it", + "ĠSi t", + "Ġexecutive s", + "Ġexecut ives", + "ar ding", + "ard ing", + "ardi ng", + "ardin g", + "Ġad vers", + "Ġadv ers", + "Ġback wards", + "Ġbackward s", + "ĉ context", + "ĉcon text", + "ĉcont ext", + "ĠH amp", + "ĠHam p", + "ĠHa mp", + "Ġ PF", + "ĠP F", + "Ġ Deck", + "ĠD eck", + "ĠDe ck", + "ĠDec k", + "Ġ Craig", + "ĠC raig", + "ĠCra ig", + "A merican", + "Americ an", + "America n", + "Ġ bell", + "Ġb ell", + "Ġbe ll", + "Ġbel l", + "Ġp rol", + "Ġpro l", + "Ġpr ol", + "u fen", + "uf en", + "ufe n", + "Ġ rng", + "Ġr ng", + "Ġrn g", + "ar shal", + "ars hal", + "Ġ Simply", + "ĠSim ply", + "ĠSimpl y", + "first name", + "sh ore", + "J uly", + "Jul y", + "Ju ly", + "Ġm ortality", + "Ġmort ality", + "Ġmortal ity", + "ĠâĨĴ ĊĊ", + "H elpers", + "Helper s", + "Help ers", + "Hel pers", + "Ġ benchmark", + "Ġb enchmark", + "Ġbench mark", + "e made", + "em ade", + "ema de", + "Ġorgan isations", + "Ġorganis ations", + "Ġorganisation s", + ".g son", + ".gs on", + "Ġ TextField", + "ĠT extField", + "ĠText Field", + "Ġcivil ians", + "Ġciv ilians", + "Ġcivilian s", + ". Arrays", + ".Array s", + ".Ar rays", + "ĠMiss issippi", + "Ġinter mediate", + "Ġintermedi ate", + "get User", + "_ cluster", + "_cl uster", + "Rel ative", + "fore ign", + ".querySelector All", + "Fore ignKey", + "Foreign Key", + "Ġreason ably", + "- --------Ċ", + "-- -------Ċ", + "---- -----Ċ", + "-------- -Ċ", + "--- ------Ċ", + "----- ----Ċ", + "------ ---Ċ", + "------- --Ċ", + "--------- Ċ", + "C ards", + "Card s", + "Car ds", + "ĠK am", + "ĠKa m", + "Ġ Thor", + "ĠT hor", + "ĠTh or", + "Ġ roller", + "Ġr oller", + "Ġro ller", + "Ġroll er", + "Ġrol ler", + "- element", + "-e lement", + "-el ement", + "Ġ Currency", + "ĠC urrency", + "d die", + "dd ie", + "AL LY", + "ALL Y", + "Ġ RA", + "ĠR A", + "Ġper met", + "Ġperm et", + "Ġperme t", + "a aaa", + "aa aa", + "aaa a", + "Ġhome work", + "Ġhom ework", + "ĠV it", + "ĠVi t", + "Ġm old", + "Ġmo ld", + "Ġmol d", + "ĠF er", + "ĠFe r", + "[ start", + "Ġstat istical", + "Ġstatist ical", + "Ġstatistic al", + "Ġsc ary", + "Ġsca ry", + "Ġscar y", + "_ HOME", + "_H OME", + ". Begin", + ".B egin", + ".Be gin", + "Con struct", + "o genic", + "og enic", + "ogen ic", + "oge nic", + "ĠDEAL INGS", + "Ġtamb ién", + "i xon", + "ix on", + "ixo n", + ". ind", + ".in d", + ".i nd", + "a cre", + "ac re", + "acr e", + "Ġ transforms", + "Ġtrans forms", + "Ġtransform s", + "ĠN ap", + "ĠNa p", + ". Block", + ".B lock", + ".Bl ock", + "uss ia", + "p iration", + "pi ration", + "pir ation", + "ul ent", + "ule nt", + "ulen t", + "Ġ ceil", + "Ġc eil", + "Ġce il", + "Cl ause", + "Cla use", + "n aire", + "na ire", + "T ES", + "TE S", + "Ġn eat", + "Ġne at", + "S TD", + "ST D", + "Ġ RegExp", + "ĠReg Exp", + "per form", + "perf orm", + ": )", + "Ġun ions", + "Ġunion s", + "Ġuni ons", + "Ġs ublic", + "Ġsub lic", + "Ġw inds", + "Ġwin ds", + "Ġwind s", + "Ġwi nds", + "lo ating", + "loat ing", + "g lich", + "gl ich", + "gli ch", + "Ġ pagination", + "Ġp agination", + "Ġpag ination", + "Ġpagina tion", + "S kill", + "Sk ill", + "App ly", + "Ap ply", + "Ġ Operator", + "ĠO perator", + "ĠOper ator", + "ĠOp erator", + "ĠOpera tor", + "ist ogram", + "isto gram", + "Ġ qualities", + "Ġqual ities", + "Ġquali ties", + "C ross", + "Cr oss", + "Cro ss", + "Ġd ecom", + "Ġde com", + "Ġdec om", + "Ġdeco m", + "] ,\"", + "], \"", + "Ġ Juan", + "ĠJ uan", + "ĠJu an", + ". modal", + ".m odal", + ".mod al", + ".mo dal", + ". Child", + ".Ch ild", + "Ġ Roger", + "ĠR oger", + "ĠRo ger", + "ĠRog er", + "STIT UTE", + ":CGRect Make", + "a lette", + "al ette", + "ale tte", + "alet te", + "Ġ sta", + "Ġs ta", + "Ġst a", + "a side", + "as ide", + "asi de", + "Ġ blur", + "Ġbl ur", + "Ġ Wa", + "ĠW a", + "if etime", + "ife time", + "r eed", + "re ed", + "ree d", + "control s", + "contr ols", + "contro ls", + "Ġ bins", + "Ġb ins", + "Ġbi ns", + "Ġbin s", + "Ġ пол", + "Ġп ол", + "Ġпо л", + "* /,Ċ", + "*/ ,Ċ", + "*/, Ċ", + "U IS", + "UI S", + "ĠR ou", + "ĠRo u", + "Ġ Demo", + "ĠD emo", + "ĠDe mo", + "ĠDem o", + "- awesome", + "Ġ Chain", + "ĠCh ain", + "ĠCha in", + "Ġh asta", + "Ġhas ta", + "Ġha sta", + "Ġhast a", + "ĠB art", + "ĠBar t", + "ĠBa rt", + ". KEY", + ".K EY", + "Ġ vendors", + "Ġv endors", + "Ġvend ors", + "Ġvendor s", + "no follow", + "nof ollow", + "Ġ Dest", + "ĠD est", + "ĠDe st", + "ĠDes t", + "_ builder", + "_b uilder", + "_build er", + "Ġarg ues", + "Ġargue s", + "_ answer", + "_an swer", + "_ans wer", + "g oto", + "go to", + "got o", + "Ġ RESULT", + "ĠRES ULT", + "Ġ MON", + "ĠM ON", + "ĠMO N", + "Ġp oder", + "Ġpo der", + "Ġpod er", + "Ġpode r", + "o ons", + "oo ns", + "oon s", + "_ CASE", + "_C ASE", + "_CA SE", + "Ġrep lic", + "Ġrepl ic", + "Ġfin ancing", + "Ġfinanc ing", + "Ġfinan cing", + "Ġ DATE", + "ĠD ATE", + "ĠDA TE", + "ĠDAT E", + "c ern", + "ce rn", + "cer n", + "_ track", + "_t rack", + "_tr ack", + "_tra ck", + "t ies", + "ti es", + "tie s", + "/ logo", + "/l ogo", + "/log o", + "/lo go", + "ĠNE GLIGENCE", + "get Type", + "> T", + "b et", + "be t", + "g irl", + "gi rl", + "ĠINCIDENT AL", + "- site", + "-s ite", + ". trigger", + ".tr igger", + "Ġ Lisa", + "ĠL isa", + "ĠLi sa", + "ĠLis a", + "_ inputs", + "_in puts", + "_input s", + "_inp uts", + "Ġrel atives", + "Ġrelative s", + "Ġrelativ es", + "Ġrelat ives", + "Logged In", + "Con figure", + "Config ure", + "Conf igure", + "I K", + ". accept", + ".ac cept", + ".acc ept", + "Re sume", + "Res ume", + "Ġ Draft", + "ĠD raft", + "ĠDr aft", + "ĠDra ft", + "Ġ *>(", + "Ġ* >(", + "Ġ*> (", + "Ġ WA", + "ĠW A", + "ed ian", + "edia n", + "edi an", + "er ness", + "ern ess", + "erne ss", + "ernes s", + "Ġ LayoutInflater", + "ĠLayout Inflater", + "* /čĊčĊ", + "*/ čĊčĊ", + "*/čĊ čĊ", + "o thy", + "ot hy", + "oth y", + "Ġoblig ation", + "Ġobl igation", + "Sub scribe", + "Ġ thumbnail", + "Ġth umbnail", + "ex ist", + "Ġins isted", + "Ġinsist ed", + "Ġ UICollectionView", + "ĠU ICollectionView", + "ĠUI CollectionView", + "Ġ Angular", + "ĠAng ular", + "Ġtable ts", + "Ġtab lets", + "Ġtablet s", + "Ġ Impact", + "ĠImp act", + "ãĢį ĊĊ", + "ãĢįĊ Ċ", + "a ho", + "ah o", + "Ġcharacter istic", + "g d", + "Ġ= ================================================", + "Ġ================= ================================", + "Ġ================================= ================", + "o urt", + "ou rt", + "our t", + "` .", + "App ro", + "Ap pro", + "Co ordinate", + "Coord inate", + "Re member", + "Rem ember", + "Ġ marine", + "Ġm arine", + "Ġmar ine", + "Ġma rine", + "Ġmari ne", + "Ġmarin e", + "] =='", + "]= ='", + "]== '", + "Ġ Administrator", + "ĠAdmin istrator", + "ĠAdministr ator", + ". getDefault", + ".get Default", + ".getD efault", + "Ġ forgot", + "Ġf orgot", + "Ġfor got", + "Ġforg ot", + "Ġ Structure", + "ĠStruct ure", + "V ue", + "Vu e", + "ar sing", + "ars ing", + "arsi ng", + "m oment", + "mo ment", + "mom ent", + "k w", + "_ cursor", + "_c ursor", + "Att ack", + "Ġath letic", + "Ġdiagn osed", + "Ġdiagnose d", + "Ġ ende", + "Ġe nde", + "Ġen de", + "Ġend e", + "åĪ łéĻ¤", + "H ouse", + "Ho use", + "Ġ PARAM", + "ĠP ARAM", + "ĠPA RAM", + "ĠPAR AM", + "ĠPARA M", + "Ġ wiki", + "Ġw iki", + "Ġwi ki", + "Ġwik i", + "Ġ Opp", + "ĠO pp", + "ĠOp p", + "Ġcons ervation", + "Ġconserv ation", + "Ġ snd", + "Ġs nd", + "Ġsn d", + "_ tem", + "_t em", + "_te m", + "sub str", + "subst r", + "subs tr", + "ĠC ape", + "ĠCap e", + "ĠCa pe", + ". sim", + ".s im", + ".si m", + "U TION", + "UT ION", + "a nan", + "an an", + "ana n", + "âĢĻ un", + "Ġ gy", + "Ġg y", + "- work", + "-w ork", + "Ġcomp elling", + "Ġcompel ling", + "= '#", + "=' #", + "ĉ sub", + "ĉs ub", + "Ġ directories", + "Ġdirect ories", + "Ġdirector ies", + "íĬ ¸", + "Ġ touches", + "Ġtouch es", + "Ġtou ches", + "out ines", + "outine s", + ". Collection", + ".C ollection", + ".Col lection", + "s chedule", + "sched ule", + ". lat", + ".l at", + "Ġ Doctrine", + "ĠDo ctrine", + "C AA", + "CA A", + "Ġ Refer", + "ĠRe fer", + "ĠRef er", + "Ġshift s", + "Ġ likelihood", + "Ġlik elihood", + "pr eter", + "pre ter", + "pret er", + "Ġ Female", + "ĠF emale", + "ĠFe male", + "ĠFem ale", + "Ġinter cept", + "Ġ lou", + "Ġl ou", + "Ġlo u", + "çĻ »", + "Ġ rug", + "Ġr ug", + "Ġru g", + "ĠC rown", + "ĠCr own", + "ĠCro wn", + "ĠCrow n", + "Ġ ****************************************************************************", + "Ġ************************************************************************ ****", + "Ġ************************************************************************** **", + "Ġ**************************************************************** ************", + "Ġ**** ************************************************************************", + "Ġ******************************************************** ********************", + "Ġ************************************************ ****************************", + "- product", + "-pro duct", + "-produ ct", + "Ġprompt ed", + "u ngle", + "un gle", + "ung le", + "d ocker", + "do cker", + "doc ker", + "dock er", + "Ġ Tu", + "ĠT u", + "Ġ Unique", + "ĠUn ique", + "ĠUni que", + "_ Error", + "_E rror", + "_Err or", + "u los", + "ul os", + "ulo s", + "Ġ âĦ", + "Ġâ Ħ", + "Ġ (`", + "Ġ( `", + "G etting", + "Get ting", + "_ scal", + "_s cal", + "_sc al", + "Ġ Enh", + "ĠE nh", + "ĠEn h", + "ü t", + "Ġsust ained", + "Ġsustain ed", + "Ġ patches", + "Ġp atches", + "Ġpat ches", + "Ġpatch es", + "Ġpros per", + "ĠG aza", + "ĠGa za", + "ĠGaz a", + "_ light", + "_l ight", + "_li ght", + "Ġin cons", + "Ġinc ons", + "Ġincon s", + "- -------Ċ", + "-- ------Ċ", + "---- ----Ċ", + "-------- Ċ", + "--- -----Ċ", + "----- ---Ċ", + "------ --Ċ", + "------- -Ċ", + "ĉ ĉĠĠĠĠĠĠ", + "ĉĉ ĠĠĠĠĠĠ", + "ĉĉĠĠĠ ĠĠĠ", + "ĉĉĠ ĠĠĠĠĠ", + "ĉĉĠĠ ĠĠĠĠ", + "ĉĉĠĠĠĠ ĠĠ", + "ĉĉĠĠĠĠĠ Ġ", + "S F", + "C N", + ": \";Ċ", + ":\" ;Ċ", + "ĠColl ins", + "( *)", + "(* )", + "Ġcomp ilation", + "Ġcompil ation", + "' ]čĊ", + "'] čĊ", + "Ġcon sequence", + "Ġconsequ ence", + "Ġconse quence", + ", ...", + ",. ..", + "Ġ dm", + "Ġd m", + "Ġ BLOCK", + "ĠB LOCK", + "ĠBL OCK", + "Cl uster", + "Ġ ski", + "Ġs ki", + "Ġsk i", + "( argc", + "(arg c", + "(ar gc", + "T uple", + "Tu ple", + "Ġj oins", + "Ġjoin s", + "Ġjo ins", + "ĠSher iff", + "W ar", + "Wa r", + "in di", + "ind i", + "Ġcom mented", + "Ġcomm ented", + "Ġcomment ed", + "H OST", + "HO ST", + "Ġ invitation", + "Ġinv itation", + "Ġinvit ation", + "apan ese", + "Ġper mits", + "Ġpermit s", + "Ġperm its", + "preced ented", + "_ zone", + "_z one", + "Ġ Amy", + "ĠA my", + "ĠAm y", + "_ RD", + "_R D", + "Min imum", + "Ġinv ocation", + "Ġinvo cation", + ". enable", + ".e nable", + ".en able", + "i chten", + "ich ten", + "icht en", + "ichte n", + "- owned", + "\" id", + "_PO INTER", + "_POINT ER", + "F ac", + "Fa c", + "Ġspec ifications", + "Ġspecific ations", + "Ġspecification s", + "Ġn omination", + "Ġno mination", + "Ġnom ination", + "Ġnomin ation", + "Ġ gp", + "Ġg p", + "< (", + "Ġ robots", + "Ġro bots", + "Ġrob ots", + "Ġrobot s", + "Ġ Jerry", + "ĠJ erry", + "ĠJer ry", + "Ġ holders", + "Ġh olders", + "Ġhold ers", + "Ġholder s", + "Ġhol ders", + "Ġ wand", + "Ġw and", + "Ġwa nd", + "Ġwan d", + "c ms", + "cm s", + "Ġ }))Ċ", + "Ġ} ))Ċ", + "Ġ}) )Ċ", + "Ġ})) Ċ", + ". Toast", + ".To ast", + "ĠI List", + "ĠIL ist", + "B ased", + "Base d", + "Bas ed", + "Ba sed", + "z oom", + "zo om", + "/ style", + "/st yle", + "ĠB eck", + "ĠBe ck", + "ĠBec k", + "M en", + "Me n", + "Ġcontrib uting", + "Ġ undo", + "Ġu ndo", + "Ġun do", + "Ġund o", + "Ġ OH", + "ĠO H", + "Ġadd Object", + "Ġe igen", + "Ġei gen", + "Ġeig en", + "sign up", + "éĶ Ļ", + "Ġd istant", + "Ġdis tant", + "Ġdist ant", + "Ġdi stant", + "PAR ATOR", + "Ġ Mari", + "ĠM ari", + "ĠMar i", + "ĠMa ri", + "Ġ má", + "Ġm á", + "E mp", + "Em p", + "ó s", + "Ġ ìĪĺ", + "Ġì Īĺ", + "ĠìĪ ĺ", + "e vt", + "ev t", + "+ j", + "p ark", + "par k", + "pa rk", + "Ġ Stay", + "ĠSt ay", + "ĠSta y", + "ĠD un", + "ĠDu n", + "Ġs oy", + "Ġso y", + "> %", + "az ines", + "azine s", + "azi nes", + "Ġti empo", + "( me", + "(m e", + "p resent", + "pre sent", + "pres ent", + ". This", + ".T his", + ".Th is", + "Ġed itors", + "Ġedit ors", + "Ġeditor s", + "Ġedi tors", + "F IELD", + ". Work", + ".W ork", + "ĠUn iverse", + "ĠUnivers e", + "ĠUni verse", + "ĠUniv erse", + "Ġdr unk", + "Ġdru nk", + ". timer", + ".t imer", + ".time r", + ".tim er", + "Ġal tered", + "Ġalt ered", + "Ġalter ed", + "Ġalte red", + "ĠN ar", + "ĠNa r", + "ëł ¥", + ". Active", + ".Act ive", + "id or", + "ido r", + "ç Ń", + ".delta Time", + "Ġawk ward", + "& quot", + "ĠS afari", + "ĠSaf ari", + "Ġt ricks", + "Ġtr icks", + "Ġtri cks", + "Ġtrick s", + "M ENTS", + "MENT S", + "div ision", + "di vision", + "Ġvar ying", + "Ġva rying", + "Ġvary ing", + "ĠHigh way", + "Ġphot ographer", + "Ġphotograph er", + "ĠSt ewart", + "ĠSte wart", + "Ġ lasting", + "Ġl asting", + "Ġlast ing", + "Ġlas ting", + ". Pre", + ".P re", + ".Pr e", + ".amazon aws", + "Ġ Luck", + "ĠL uck", + "ĠLuc k", + "ĠLu ck", + ". Description", + ".D escription", + ".De scription", + ".Des cription", + "Ġ Naz", + "ĠN az", + "ĠNa z", + "n eg", + "ne g", + "Ġc ó", + "<< \"\\", + "<<\" \\", + "Ġ Surv", + "ĠS urv", + "ĠSur v", + "ĠSu rv", + "Ġ Unc", + "ĠU nc", + "ĠUn c", + "Rec ipe", + ". BorderStyle", + ".Border Style", + "Ġmod ifications", + "Ġmodification s", + "Ġmodific ations", + "- at", + "-a t", + "AT FORM", + "h dr", + "hd r", + "a ko", + "ak o", + "Ġsub license", + "Ġsublic ense", + "Ġ Jump", + "ĠJ ump", + "ĠJu mp", + "Ġbe im", + "Ġbei m", + "ĠMan hattan", + ". bool", + ".b ool", + ".bo ol", + "_ hw", + "_h w", + "ÑĤ ÑĮ", + "B in", + "Bi n", + "Ġ gateway", + "Ġg ateway", + "Ġgate way", + "\" \":", + "\"\" :", + "Ġ UIS", + "ĠU IS", + "ĠUI S", + ": \"+", + ":\" +", + "- def", + "-d ef", + "-de f", + "Ġ Regular", + "ĠReg ular", + "/ testing", + "/t esting", + "/test ing", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "string stream", + "Ġdis par", + "Ġdi spar", + "Ġdisp ar", + "Ġm obil", + "Ġmo bil", + "Ġmob il", + "- read", + "-r ead", + "-re ad", + "Ġ Adapter", + "ĠAd apter", + "ĠAda pter", + "ĠAdapt er", + "ĠCh ampions", + "ĠChampion s", + "ĠChamp ions", + "Ġ scheduler", + "Ġs cheduler", + "Ġsched uler", + "Ġschedule r", + "Ġ kills", + "Ġk ills", + "Ġkill s", + "Ġkil ls", + "Ġ Multiple", + "ĠM ultiple", + "ĠMulti ple", + "ĠMult iple", + "ĠMultip le", + "i rror", + "ir ror", + "Ġg ods", + "Ġgo ds", + "Ġgod s", + "A DO", + "AD O", + "a kte", + "ak te", + "akt e", + "Ġ Usuario", + "ĠUs uario", + ".c ircular", + "Ġre cept", + "Ġrec ept", + "Ġrece pt", + "Ġrecep t", + "Ġ Expr", + "ĠEx pr", + "ĠExp r", + "Ġelder ly", + "Ġnice ly", + "Ġnic ely", + "Ġb este", + "Ġbe ste", + "Ġbest e", + "Ġbes te", + "W ant", + "Wa nt", + "Ġclass ical", + "Ġclassic al", + ". sprite", + ".s prite", + ".sp rite", + "ob jc", + "obj c", + "ĠM ason", + "ĠMa son", + "ĠMas on", + "Ġs istema", + "Ġsist ema", + "Ġsistem a", + ". Black", + ".B lack", + ".Bl ack", + "e so", + "es o", + "ĠZe it", + "Ġ divid", + "Ġd ivid", + "Ġdi vid", + "Ġdiv id", + "Ġen ters", + "Ġent ers", + "Ġenter s", + "_ subject", + "_sub ject", + "_su bject", + "Ġ Planet", + "ĠPlan et", + "ĠPlane t", + "ĠPla net", + ". warning", + ".w arning", + ".warn ing", + "Ġ Gram", + "ĠG ram", + "ĠGr am", + "ĠGra m", + "_ tokens", + "_t okens", + "_token s", + "_tok ens", + "Ġhouse holds", + "Ġhousehold s", + "_ customer", + "_c ustomer", + "_custom er", + "_cust omer", + "user Name", + "c ross", + "cr oss", + "cro ss", + "Ġp ione", + "Ġpi one", + "Ġass ists", + "Ġassist s", + "_ SM", + "_S M", + "i bo", + "ib o", + "Ġl oyal", + "Ġlo yal", + "Ġus eless", + "Ġuse less", + "# elif", + "ĠUlt imate", + "C ome", + "Com e", + "Co me", + "g el", + "ge l", + "Ġd ich", + "Ġdi ch", + "Ġdic h", + "x yz", + "xy z", + "i kel", + "ik el", + "ike l", + "o bra", + "ob ra", + "_ scan", + "_s can", + "_sc an", + "Ġ Interior", + "ĠIn terior", + "ĠInt erior", + "ĠInter ior", + "Ġ Nice", + "ĠN ice", + "ĠNic e", + "ĠNi ce", + "Ġp lac", + "Ġpl ac", + "Ġpla c", + "ĉ target", + "ĉt arget", + "Ġv iral", + "Ġvi ral", + "Ġvir al", + "as so", + "ass o", + "( )/", + "() /", + "u nde", + "un de", + "und e", + "Ġ Adobe", + "ĠAd obe", + "O s", + "vis ited", + "visit ed", + "Ġ OW", + "ĠO W", + "Ġ Feed", + "ĠF eed", + "ĠFe ed", + "ĠFee d", + "Ġ Sequence", + "ĠSe quence", + "ĠSequ ence", + "Ġman ages", + "Ġmanage s", + "Ġmana ges", + "in son", + "ins on", + "ĠLouis iana", + "{ })", + "{} )", + "ĠH ab", + "ĠHa b", + "Ġ LD", + "ĠL D", + "Ġb ip", + "Ġbi p", + "p rites", + "pr ites", + "prite s", + "prit es", + "pri tes", + "( elem", + "(e lem", + "(el em", + "(ele m", + ".h ibernate", + "é lé", + "él é", + "Ġoh ne", + "_ transaction", + "_trans action", + "Ġann unci", + "P ublished", + "Publish ed", + "Ġ Honda", + "ĠH onda", + "ĠHon da", + "ĠHo nda", + "ĠHond a", + "Ġ Tam", + "ĠT am", + "ĠTa m", + "Ġ Packet", + "ĠP acket", + "ĠPac ket", + "ĠPack et", + "ĠPa cket", + "_ selector", + "_se lector", + "_select or", + "_sel ector", + "Ġchalleng ed", + "Ġchallenge d", + "P rocessing", + "Process ing", + "- hover", + "-h over", + "Ġ trainer", + "Ġtr ainer", + "Ġtrain er", + "Ġtra iner", + "Ġtrai ner", + "_ cancel", + "_c ancel", + "_can cel", + "Ġ NSDictionary", + "ĠNS Dictionary", + "ab ric", + "abr ic", + "Ġ MLS", + "ĠM LS", + "ĠML S", + "_ sensor", + "_s ensor", + "Ġsh rink", + "Ġshr ink", + "Ġshri nk", + "Ġ FX", + "ĠF X", + "th reshold", + "thresh old", + "ĉ HX", + "ĉH X", + "- mark", + "-m ark", + "-mar k", + "` .`", + "`. `", + "S cheme", + "Sch eme", + "( full", + "(f ull", + "_ writer", + "_w riter", + "_write r", + "_wr iter", + "Ġ Sys", + "ĠS ys", + "ĠSy s", + "Ġf led", + "Ġfl ed", + "Ġfle d", + "ĠC in", + "ĠCi n", + "- widget", + "-w idget", + "Ġ Previous", + "ĠPre vious", + "ĠPrev ious", + "G ender", + "Ge nder", + "Gen der", + "_ question", + "_q uestion", + "_qu estion", + "_quest ion", + "F eed", + "Fe ed", + "Fee d", + "Ġsc rut", + "Ġscr ut", + "( prefix", + "(p refix", + "(pre fix", + "(pref ix", + "ãĢĤ ãĢĤ", + "Ġin fections", + "Ġinf ections", + "Ġinfection s", + "Ġinfect ions", + "P arts", + "Par ts", + "Part s", + "Pa rts", + "Ġh ierarchy", + "Ġhier archy", + "_ DELETE", + "_DE LETE", + "Ġ Patient", + "ĠP atient", + "ĠPat ient", + "_ pay", + "_p ay", + "_pa y", + "Ġprom oted", + "Ġpromote d", + "Ġpromot ed", + "Ġpromo ted", + "Ġ ìĭ", + "Ġì ĭ", + "Ġcivil ian", + "Ġciv ilian", + "Ġagricult ure", + "Ġagr iculture", + "Ġ Piece", + "ĠP iece", + "ĠPi ece", + "ĠPie ce", + "Ġ stance", + "Ġst ance", + "Ġsta nce", + "Ġstan ce", + "uts che", + "utsch e", + "As sign", + "Ass ign", + ". ACTION", + ".A CTION", + ".AC TION", + ".ACT ION", + "F ig", + "Fi g", + "_ radius", + "_r adius", + "_rad ius", + "_radi us", + "Ġ Sync", + "ĠS ync", + "ĠSy nc", + "ĠSyn c", + "d ucer", + "du cer", + "duc er", + "duce r", + "f ailure", + "fail ure", + "en sed", + "ens ed", + "ense d", + "p time", + "pt ime", + "B M", + "_ datetime", + "_d atetime", + "_date time", + "_dat etime", + "qu ivo", + "quiv o", + "qui vo", + "QUE UE", + "èĢ ħ", + "App ear", + "Ap pear", + "Appe ar", + "Ġsum mit", + "Ġsumm it", + ": void", + ":v oid", + "Ġ vine", + "Ġv ine", + "Ġvi ne", + "Ġvin e", + "è ®¤", + "è® ¤", + "on ne", + "onn e", + "_ TRANS", + "_TR ANS", + "_TRAN S", + "_TRA NS", + ". green", + ".g reen", + ".gr een", + "_ cc", + "_c c", + "Ġhung ry", + "Ġ \">", + "Ġ\" >", + "( ));čĊčĊ", + "() );čĊčĊ", + "()) ;čĊčĊ", + "());čĊ čĊ", + "()); čĊčĊ", + "Ex tract", + "Ext ract", + "Extra ct", + "i zens", + "iz ens", + "ize ns", + "izen s", + "Ġ solver", + "Ġs olver", + "Ġsol ver", + "Ġsolve r", + "N otify", + "Not ify", + "Ġ english", + "Ġeng lish", + "Ġ Shopping", + "ĠSh opping", + "ĠShop ping", + "ĠSho pping", + "inter faces", + "interface s", + "R EQ", + "RE Q", + "Ġil leg", + "Ġill eg", + "Ġ UIImageView", + "ĠUI ImageView", + "ĠUIImage View", + "Ġ disconnect", + "Ġdis connect", + "Ġ Until", + "ĠUn til", + "ĠUnt il", + "ĠCons ervative", + "ĠConserv ative", + "@ Column", + "Ġshift ed", + "Ġ :čĊ", + "Ġ: čĊ", + "Ġf ich", + "Ġfi ch", + "Ġfic h", + "Ġd la", + "Ġdl a", + "Ġs hoe", + "Ġsh oe", + "Ġsho e", + "\" ),čĊ", + "\") ,čĊ", + "\"), čĊ", + "ul arity", + "ular ity", + "_ RESP", + "_RE SP", + "_R ESP", + "_RES P", + "We ather", + "UI Application", + ". iterator", + ".it erator", + ".iter ator", + "Ġ aging", + "Ġa ging", + "Ġag ing", + ". Parent", + ".P arent", + ".Par ent", + "o wie", + "ow ie", + "owi e", + "( equal", + "(e qual", + "(eq ual", + "Ġ Conv", + "ĠCon v", + "ĠCo nv", + "/ default", + "/d efault", + "/de fault", + "Ġme asuring", + "Ġmeas uring", + ". prev", + ".p rev", + ".pre v", + ".pr ev", + ". IsValid", + ".Is Valid", + ". Fat", + ".F at", + "Ġs Äĥ", + "key words", + "keyword s", + "with out", + "Ġs overe", + "Ġso vere", + "Ġex changes", + "Ġexchange s", + "Ġm elt", + "Ġme lt", + "Ġmel t", + "Ġis lands", + "Ġisland s", + "Ġisl ands", + "ĠInt egr", + "Ġj umping", + "Ġjump ing", + "Ġ gle", + "Ġg le", + "Ġgl e", + "Ġjournal ism", + "Ġ dated", + "Ġd ated", + "Ġdate d", + "Ġda ted", + "Ġdat ed", + "Local ized", + "Ġ Refresh", + "ĠRe fresh", + "ĠRef resh", + "P article", + "Part icle", + "Ġ aa", + "Ġa a", + "ĠST RICT", + "ĠSTR ICT", + "Ġb od", + "Ġbo d", + ". Process", + ".P rocess", + ".Pro cess", + "_ AUTO", + "_A UTO", + "_AUT O", + "Ġ Published", + "ĠP ublished", + "ĠPublish ed", + "e very", + "ever y", + "ev ery", + "eve ry", + "Ġtechn ological", + "Ġtechno logical", + "Ġtechnolog ical", + "l sx", + "ls x", + "Ġir rit", + "Ġirr it", + "Add itional", + "Ġ delimiter", + "Ġdel imiter", + "Ġdelim iter", + "_ language", + "_l anguage", + "- area", + "-a rea", + "-ar ea", + "bo ys", + "boy s", + "Ġ Tube", + "ĠT ube", + "ĠTu be", + "ĠTub e", + "Ġ wat", + "Ġw at", + "Ġwa t", + "Ġmechan ics", + "Ġmechanic s", + "_ owner", + "_o wner", + "_own er", + "S pell", + "Sp ell", + "Spe ll", + "Ġ Stories", + "ĠSt ories", + "ĠSto ries", + ".Append Line", + "T ableView", + "Table View", + "h em", + "he m", + "s tick", + "st ick", + "sti ck", + "ol lower", + "oll ower", + "ollow er", + "ollo wer", + "I FF", + "IF F", + "Ġ UV", + "ĠU V", + "oll ision", + "S UB", + "SU B", + "Ġcom parable", + "Ġcompar able", + "Ġd onde", + "Ġdo nde", + "Ġdon de", + "s ales", + "sa les", + "sal es", + "sale s", + "ll vm", + "Ġ }],Ċ", + "Ġ} ],Ċ", + "Ġ}] ,Ċ", + "OTT OM", + "Ġ Purpose", + "ĠP urpose", + "ĠPur pose", + "L ab", + "La b", + "Ġinterview ed", + "o is", + "oi s", + "a sil", + "as il", + "asi l", + ". setId", + ".set Id", + "Ġ Instruction", + "ĠIn struction", + "- ->", + "-- >", + "Ġ Modified", + "ĠMod ified", + "ation ally", + "ational ly", + "Ġ Meeting", + "ĠMe eting", + "ĠMeet ing", + "è¯ ¯", + "# region", + "Ġ routing", + "Ġr outing", + "Ġro uting", + "Ġrout ing", + "Ġrou ting", + ". focus", + ".f ocus", + "ĠY outh", + "ĠYou th", + "ĠYo uth", + "< D", + "ĠN ag", + "ĠNa g", + "cont acts", + "contact s", + "Ġ forming", + "Ġfor ming", + "Ġform ing", + "Ġ mie", + "Ġm ie", + "Ġmi e", + "',[' ../", + "Ġ BP", + "ĠB P", + "Ġapp et", + "Ġap pet", + "Ġappe t", + "Ġ Teacher", + "ĠT eacher", + "ĠTe acher", + "ĠTea cher", + "ĠTeach er", + "Ġ TP", + "ĠT P", + "Ġann ually", + "Ġannual ly", + "outed EventArgs", + "Ġ Speaker", + "ĠS peaker", + "ĠSpe aker", + "ĠSpeak er", + "Ġ rename", + "Ġre name", + "Ġr ename", + "Ġren ame", + "C FG", + "CF G", + "(\" //", + "(\"/ /", + "æİ ¥", + "/ pages", + "/p ages", + "/page s", + "Ġpr és", + "Ġpré s", + "Ġ Spell", + "ĠS pell", + "ĠSp ell", + "ĠSpe ll", + ". Allow", + ".Al low", + ".All ow", + "ĠINT ERRU", + "ĠINTER RU", + "Ġ (#", + "Ġ( #", + "âĢĻ ĊĊ", + "âĢĻĊ Ċ", + "_ Generic", + "_G eneric", + ". imshow", + ".im show", + "_ tim", + "_t im", + "_ti m", + "- face", + "-f ace", + "( &(", + "(& (", + "ati num", + "atin um", + "Ġrevolution ary", + "Ġ Hours", + "ĠH ours", + "ĠHo urs", + "ĠHour s", + "ĠHou rs", + "r ain", + "ra in", + "rai n", + "Ġany time", + "Ġ abb", + "Ġa bb", + "Ġab b", + ". jsp", + ".j sp", + ".js p", + "S crollView", + "Scroll View", + "Ġ Truth", + "ĠTr uth", + "ĠTru th", + "Ġ anticipated", + "Ġanticip ated", + "Ġanticipate d", + "Ġantic ipated", + "Ġ accent", + "Ġacc ent", + "Ġac cent", + ". checked", + ".check ed", + "Ġspec ifies", + "Ġ caf", + "Ġc af", + "Ġca f", + "Ġcell padding", + "Ġ cooked", + "Ġco oked", + "Ġcook ed", + "Ġ Hugh", + "ĠH ugh", + "ĠHu gh", + "pe ek", + "pee k", + "_ RATE", + "_R ATE", + "_RA TE", + "Ġd orm", + "Ġdo rm", + "Ġdor m", + "/ čĊ", + "IV ITY", + ". Controller", + ".Cont roller", + ".Control ler", + "( part", + "(p art", + "(par t", + "(pa rt", + ". constraint", + ".con straint", + "Ġin vasion", + "Ġinv asion", + "M OVE", + "MO VE", + "MOV E", + "Ġgl uc", + "Ġglu c", + "l ename", + "le name", + "len ame", + "lena me", + "Ġ amen", + "Ġa men", + "Ġam en", + "eng lish", + "engl ish", + "ĠSw itzerland", + "\" ;ĊĊĊ", + "\";Ċ ĊĊ", + "\";ĊĊ Ċ", + "\"; ĊĊĊ", + "p est", + "pe st", + "pes t", + ". collect", + ".c ollect", + ".col lect", + ".coll ect", + "N ib", + "Ni b", + "Ġ Dict", + "ĠD ict", + "ĠDi ct", + "Ġ Emb", + "ĠE mb", + "ĠEm b", + "( subject", + "(sub ject", + "Ġout rage", + "Ġoutr age", + "Ġoutra ge", + "Ġdec iding", + "Ġdecid ing", + "Ġsent enced", + "Ġsentence d", + "F echa", + "Fe cha", + "\" A", + "Ġ quer", + "Ġqu er", + "Ġque r", + "Ġq uer", + "Ġfont Family", + "Ġqu adr", + "Ġquad r", + "Ġqua dr", + "- Y", + "_ CACHE", + "_C ACHE", + "_CA CHE", + "Ġan alyzed", + "Ġanaly zed", + "Ġanalyze d", + "Ġg aining", + "Ġgain ing", + "Ġga ining", + "Ġ Against", + "ĠAgain st", + "ĠS oul", + "ĠSo ul", + "ĠSou l", + "t au", + "ta u", + "Ġlight weight", + "Ġ TF", + "ĠT F", + "Ġ Effects", + "ĠE ffects", + "ĠEffect s", + "ĠEff ects", + ". Types", + ".T ypes", + ".Type s", + ". addClass", + ".add Class", + "Ġv egan", + "Ġve gan", + "Ġveg an", + "é ģ", + ". '\"", + ".' \"", + "Ġ Explorer", + "ĠEx plorer", + "ĠExpl orer", + "ĠExplore r", + ". detect", + ".d etect", + ".det ect", + ". shift", + ".s hift", + ".sh ift", + "Ġoblig ations", + "Ġobligation s", + "last Name", + "Ġassoci ations", + "Ġassociation s", + "Ġassoc iations", + "ĠTime Span", + "un ter", + "unt er", + "unte r", + "Ġ Fresh", + "ĠF resh", + "ĠFr esh", + "ĠFre sh", + "ĠFres h", + "Com patible", + "Compat ible", + "P ub", + "Pu b", + "id ges", + "idge s", + ". option", + ".op tion", + ".o ption", + ".opt ion", + "v ari", + "var i", + "va ri", + ". hashCode", + ".hash Code", + "Ġ geb", + "Ġg eb", + "Ġge b", + ". section", + ".s ection", + ".se ction", + ".sec tion", + "- not", + "-n ot", + "-no t", + "Ġ Submit", + "ĠSub mit", + "T N", + "reg istry", + "registr y", + "regist ry", + "_ media", + "_m edia", + "_me dia", + "_med ia", + "Ġn aj", + "Ġna j", + "f ft", + "ff t", + "Ġ mate", + "Ġm ate", + "Ġmat e", + "Ġma te", + "- third", + "-th ird", + "Ġp ockets", + "Ġpocket s", + "e sta", + "es ta", + "est a", + "Ġb ent", + "Ġbe nt", + "Ġben t", + "ĠN ord", + "ĠNo rd", + "ĠNor d", + "Ġretail ers", + "Ġretailer s", + "ĠM orris", + "ĠMor ris", + "ĠMorr is", + ". \"\"\"ĊĊ", + ".\"\" \"ĊĊ", + ".\"\"\"Ċ Ċ", + ".\"\"\" ĊĊ", + "W rong", + "Wr ong", + "Ġ ÅĽ", + "ĠÅ Ľ", + "R ay", + "Ra y", + ". ec", + ".e c", + "Ġ Bind", + "ĠB ind", + "ĠBi nd", + "ĠBin d", + "_ HAND", + "_H AND", + "( non", + "(n on", + "(no n", + "is Valid", + "Ġsimilar ly", + "_ LIMIT", + "_L IMIT", + "Ġd ynamics", + "Ġdynamic s", + "Ġdynam ics", + "Ġdyn amics", + "Ġdist inction", + "Ġdistinct ion", + "ãģ Ĩ", + "< N", + "Ġ orth", + "Ġor th", + "Ġort h", + "Ġ Toyota", + "ĠToy ota", + "Ġ Kate", + "ĠK ate", + "ĠKat e", + "ĠKa te", + "Ġ LS", + "ĠL S", + "o rie", + "or ie", + "ori e", + "ĠSpring s", + "ĠSpr ings", + "Ġf reak", + "Ġfre ak", + "last name", + "_ MULT", + "_M ULT", + "_MUL T", + "- step", + "-s tep", + "-st ep", + "-ste p", + "\" (", + "A DDR", + "AD DR", + "ADD R", + "Ġentert aining", + "Ġentertain ing", + "_ CONF", + "_CON F", + "_CO NF", + "Ġ decoded", + "Ġde coded", + "Ġdec oded", + "Ġdecode d", + "Ġdeco ded", + "Ġst reak", + "Ġstre ak", + "Ġwait ed", + "Ġwa ited", + "Ġnot ified", + "ro duced", + "rodu ced", + "rod uced", + "roduce d", + "vis ual", + ". LayoutParams", + ".Layout Params", + "æ °", + "e sian", + "es ian", + "esi an", + "f its", + "fit s", + "fi ts", + "s pring", + "sp ring", + "spr ing", + "ĠBer nie", + "ĠBern ie", + "User Defaults", + "Ġpe dest", + "Ġped est", + "Ap pearance", + "Appear ance", + "Ġ Wiki", + "ĠW iki", + "ĠWi ki", + "ĠWik i", + "ĠNOT ICE", + "Ġ ssh", + "Ġs sh", + "Ġss h", + "Ġdur ante", + "Ġ Zip", + "ĠZ ip", + "ĠZi p", + "ı r", + "ĠN ATO", + "ĠNAT O", + "ĠNA TO", + "Ġtw elve", + "Ġr oyal", + "Ġro yal", + "Ġroy al", + "ï ¸", + "Ġ merchant", + "Ġm erchant", + "Ġmer chant", + "Ġmerch ant", + "ĠF urniture", + "ĠFurn iture", + "' ]),Ċ", + "'] ),Ċ", + "']) ,Ċ", + "']), Ċ", + ", X", + "Ġ folders", + "Ġf olders", + "Ġfolder s", + "Ġfol ders", + "Ġfold ers", + "Ġ Gate", + "ĠG ate", + "ĠGa te", + "ĠGat e", + "ĉ func", + "ĉf unc", + "ĉfun c", + "p ick", + "pi ck", + "pic k", + "_ usuario", + "_us uario", + "ĠV erm", + "ĠVer m", + "ĠVe rm", + "m ention", + "ment ion", + "men tion", + "ur pose", + "Ġ alerts", + "Ġal erts", + "Ġalert s", + "Ġale rts", + "x ious", + "xi ous", + "_ sig", + "_s ig", + "_si g", + "Ġ Fu", + "ĠF u", + "Ġ (:", + "Ġ( :", + "Ġd umb", + "Ġdu mb", + "Ġdum b", + "åħ ³", + "Ġaccur ately", + "Ġaccurate ly", + "éĩ į", + "R B", + "- screen", + "-s creen", + "-sc reen", + "Ġ VER", + "ĠV ER", + "ĠVE R", + "j our", + "jo ur", + "Ġrom ance", + "Ġroman ce", + "Ġroma nce", + "uc ceed", + "ucc eed", + ". choice", + ".ch oice", + "Ġad ip", + "_ dims", + "_d ims", + "_dim s", + "_di ms", + "Serial izable", + "ãĤ ĭ", + ". job", + ".j ob", + "Ġ prog", + "Ġp rog", + "Ġpro g", + "Ġpr og", + "u char", + "uch ar", + "uc har", + "ucha r", + "Ġg ently", + "Ġgent ly", + "Ġ RSS", + "ĠR SS", + "ĠRS S", + "ict ured", + "icture d", + "_ENABLE D", + "ĉ label", + "ĉl abel", + "aw ks", + "awk s", + "Ġ Ensure", + "ĠEn sure", + "ĠEns ure", + "re member", + "rem ember", + "ìł ķ", + "Ġtrans mit", + "{ {$", + "{{ $", + ". Transaction", + ".Trans action", + "ur se", + "urs e", + "_ relative", + "_rel ative", + "Ġs ized", + "Ġsize d", + "Ġsi zed", + "Ġsiz ed", + "Ġ XX", + "ĠX X", + "ĠPr incess", + "ĠPrince ss", + "Ġ Larry", + "ĠL arry", + "ĠLar ry", + "Ġp ró", + "Ġpr ó", + "Ġ ÑģÑĤÑĢ", + "ĠÑģ ÑĤÑĢ", + "ĠÑģÑĤ ÑĢ", + "Ġs isters", + "Ġsi sters", + "Ġsister s", + "Ġsist ers", + "Ġsis ters", + "e struct", + "estr uct", + "Ġ checkpoint", + "Ġcheck point", + ": length", + ":len gth", + ":l ength", + "Ġ Carlos", + "ĠCar los", + "ĠCarl os", + "ĠCarlo s", + "/ icon", + "/i con", + "/ic on", + "_ TARGET", + "_T ARGET", + "T okens", + "Token s", + "Tok ens", + "Ġpat ience", + "Ġ Selected", + "ĠSe lected", + "ĠSelect ed", + "ĠSel ected", + "q ty", + "qt y", + ".show Message", + "Ġwild life", + "Ġ Props", + "ĠP rops", + "ĠPro ps", + "ĠPr ops", + "ĠProp s", + "b m", + "- arrow", + "-ar row", + "Ġ parcel", + "Ġpar cel", + "Ġparc el", + "Ġparce l", + "f irebase", + "fire base", + "ĠBen jamin", + "c esso", + "cess o", + "ces so", + ". tim", + ".t im", + "ĠG arc", + "ĠGar c", + "ĠGa rc", + ". any", + ".a ny", + ".an y", + "ĠHOW EVER", + "ĠK o", + "Ġgrab bed", + "_ frames", + "_f rames", + "_frame s", + "_fr ames", + "Ġobject AtIndex", + "ĠADV ISED", + "Ġsu bur", + "Ġsub ur", + "ĉ GL", + "ĉG L", + "Ġ })}Ċ", + "Ġ} )}Ċ", + "Ġ}) }Ċ", + "- length", + "-l ength", + "-le ngth", + "-len gth", + "ìĭ ľ", + "ĠPot ter", + "_ buff", + "_b uff", + "_buf f", + ". gui", + ".g ui", + "Ġ Encoding", + "ĠEn coding", + "ĠEnc oding", + "E lect", + "El ect", + "Ele ct", + "- message", + "-m essage", + "Ġ �", + "Ġ ÈĻi", + "Ġ ArgumentNullException", + "ĠArgument NullException", + "а ÑĨи", + "Ġmin imize", + "Ġminim ize", + "Ġrespond ing", + "$_ ['", + "Ġ Individual", + "ĠInd ividual", + "á c", + "Ġ INTER", + "ĠIN TER", + "ĠINT ER", + "Ġmast urb", + "Ġmastur b", + "Ġ Bin", + "ĠB in", + "ĠBi n", + "( '$", + "(' $", + "ëĵ ľ", + "Ġopen ly", + "Ġ ><", + "Ġ> <", + "Ġ unto", + "Ġun to", + "Ġunt o", + "olog ically", + "ological ly", + "ologic ally", + "Ġ Mul", + "ĠM ul", + "ĠMu l", + "VID IA", + "Ġs lim", + "Ġsl im", + "ĠCommission er", + "( on", + "(o n", + "Ġunder neath", + "/ db", + "/d b", + "v ote", + "vo te", + "( Message", + "(M essage", + "ĠP ope", + "ĠPop e", + "ĠPo pe", + "D efined", + "Def ined", + "Define d", + "Ġ swift", + "Ġsw ift", + "u rf", + "ur f", + "Ġadapt ed", + "Ġadap ted", + "S EL", + "SE L", + "Ġre venues", + "Ġrevenue s", + "Ġreven ues", + "Ġdi vine", + "Ġdiv ine", + "= y", + "G radient", + "Grad ient", + "_ act", + "_a ct", + "_ac t", + "Ġ/* !<", + "Ġ/*! <", + "Ġ polygon", + "Ġp olygon", + "Ġpoly gon", + "Ġ FDA", + "ĠF DA", + "ĠFD A", + "ĠC arr", + "ĠCar r", + "ĠCa rr", + "a tables", + "at ables", + "ata bles", + "atab les", + "atable s", + "( stdout", + "(std out", + "Ġref riger", + "Ġrefr iger", + "Ġco ordin", + "Ġcoord in", + "avor ites", + "avorite s", + "avo rites", + "ÑĪ и", + "Ġcompass ion", + "ĠPOSS IBILITY", + "- secondary", + "-second ary", + "ur acy", + "ura cy", + "Ġcom promise", + "Ġcomp romise", + "Ġcomprom ise", + "_ AV", + "_A V", + "_ os", + "_o s", + "Ġbe side", + "Ġbes ide", + "ĥ Ŀ", + "Ġ ln", + "Ġl n", + ". plugins", + ".pl ugins", + ".plugin s", + "Cap acity", + "a lah", + "al ah", + "ala h", + ". bin", + ".b in", + ".bi n", + "Ġ CRC", + "ĠC RC", + "ĠCR C", + "_ balance", + "_b alance", + "_bal ance", + "Ġflex Direction", + "Ġam bit", + "Ġamb it", + "Ġ nickname", + "Ġn ickname", + "Ġnick name", + "ĠFor ces", + "ĠForce s", + "C LE", + "CL E", + "Ġ Shell", + "ĠS hell", + "ĠSh ell", + "ĠShe ll", + "ĠShel l", + "Ġs ail", + "Ġsa il", + "Ġsai l", + "Ġ Writer", + "ĠW riter", + "ĠWrite r", + "ĠWr iter", + "Ġ Alice", + "ĠA lice", + "ĠAl ice", + "ĠAli ce", + "ĠAlic e", + "d w", + "ĠInd ians", + "ĠIndia ns", + "ĠIndian s", + "ĠIndi ans", + "ĠMar shall", + "ĠMars hall", + "ĠMarshal l", + "ĠMarsh all", + "_ SRC", + "_S RC", + "_SR C", + "Ġ normalized", + "Ġnormal ized", + "Ġnormalize d", + "ĠJ ag", + "ĠJa g", + "ãĤ Ĵ", + "ze it", + "r pc", + "rp c", + "ÃŃ c", + ". inline", + ".in line", + "Ġtr avers", + "Ġtra vers", + "Ġtrav ers", + "_ numeric", + "_n umeric", + "_num eric", + "_numer ic", + "Ġ utilities", + "Ġutil ities", + "Ġut ilities", + "Ġe vac", + "Ġev ac", + "IN PUT", + "ĉ register", + "ĉreg ister", + "M X", + "ĠCamp bell", + "Ġ datasets", + "Ġd atasets", + "Ġdata sets", + "Ġdataset s", + "Ġdatas ets", + "Ġdem anded", + "Ġdemand ed", + "Ġdemande d", + "Ġinitial State", + "g an", + "ga n", + "Ġ ei", + "Ġe i", + "Un expected", + "- web", + "-w eb", + "-we b", + "t rait", + "tr ait", + "tra it", + ", Y", + "Ġ Todd", + "ĠT odd", + "ĠTo dd", + "ĠTod d", + "Ġs keleton", + "Ġske leton", + "Ġ optimize", + "Ġopt imize", + "Ġoptim ize", + "ç ¬¬", + "ç¬ ¬", + "Ġ Upon", + "ĠU pon", + "ĠUp on", + "ĠSt Object", + "Ġap lic", + "Ġapl ic", + ". ' P", + "v ron", + "vr on", + "vro n", + ". UN", + ".U N", + "Ġp ainter", + "Ġpaint er", + "Ġpain ter", + "Ġpa inter", + "izar re", + "Ġ lav", + "Ġl av", + "Ġla v", + "Ġ pom", + "Ġp om", + "Ġpo m", + "p reg", + "pr eg", + "pre g", + "= function", + "=f unction", + "( serial", + "(s erial", + "(se rial", + "if ica", + "ific a", + "ifi ca", + "u ming", + "um ing", + "umin g", + "umi ng", + "åľ °", + "ãģ Ĥ", + "- op", + "-o p", + "U CH", + "UC H", + "ĠH end", + "ĠHe nd", + "ĠHen d", + ". propTypes", + ".prop Types", + "Ġ yo", + "Ġy o", + "Ġr outines", + "Ġrout ines", + "Ġroutine s", + "Ġc aring", + "Ġcar ing", + "Ġca ring", + "S em", + "Se m", + "Ġres erves", + "Ġreserve s", + "Ġreserv es", + "Ġprior ities", + "Ġpriorit ies", + "red its", + "redit s", + "redi ts", + "I STR", + "IS TR", + "IST R", + "Content Type", + "ĠS chw", + "ĠSc hw", + "ĠSch w", + "/ media", + "/m edia", + "/me dia", + "Ġ estr", + "Ġe str", + "Ġes tr", + "Ġest r", + "Ġclim bing", + "Ġclimb ing", + "- week", + "-we ek", + "cher che", + "s ensor", + "To Array", + "ĠMont real", + "Ġclo uds", + "Ġcloud s", + "ĠInject able", + "ĠR ice", + "ĠRic e", + "ĠRi ce", + "Ġpropag anda", + "_ provider", + "_pro vider", + "_prov ider", + "Ġin door", + "Ġind oor", + "Ġindo or", + "Ġin aug", + "Ġdipl om", + "Ġdip lom", + "Ġm essaging", + "Ġmess aging", + "_ mut", + "_m ut", + "_mu t", + "å ¦Ĥ", + "å¦ Ĥ", + "Ġ kw", + "Ġk w", + "O NS", + "ON S", + "a rians", + "ar ians", + "ari ans", + "arian s", + "aria ns", + "R PC", + "RP C", + ") ]čĊ", + ")] čĊ", + "- ray", + "-r ay", + "-ra y", + "ĠS or", + "ĠSo r", + "m all", + "ma ll", + "mal l", + "Ġmarket place", + "Ġ vtk", + "Ġv tk", + "Ġvt k", + "M a", + "o gan", + "og an", + "oga n", + "i gi", + "ig i", + "Ġs ponsored", + "Ġspons ored", + "Ġsponsor ed", + "Ġ Dani", + "ĠD ani", + "ĠDan i", + "ĠDa ni", + ".S EVER", + ".SE VER", + "> '.$", + ">' .$", + ">'. $", + "m ultipart", + "multi part", + "multip art", + "ĠW ol", + "ĠWo l", + "Ġ tableName", + "Ġtable Name", + "Ġ Username", + "ĠUser name", + "Back groundColor", + "Background Color", + "Ġf right", + "Ġfr ight", + "Ġfri ght", + "_ EMAIL", + "_E MAIL", + "_EM AIL", + "Sept ember", + "Sep tember", + "_ vals", + "_v als", + "_val s", + "_va ls", + "op ia", + "opi a", + "Ġsp otted", + "Ġspot ted", + "- Ch", + "-C h", + "Ġ dataSource", + "Ġdata Source", + "/ \"Ċ", + "/\" Ċ", + "е кÑĤ", + "ек ÑĤ", + "Ġ RequestMethod", + "ĠRequest Method", + "Ġ Replace", + "ĠRe place", + "ĠRep lace", + "- do", + "-d o", + "a hn", + "ah n", + "ĠPh D", + "] .ĊĊ", + "]. ĊĊ", + "].Ċ Ċ", + "N ON", + "NO N", + "g ement", + "ge ment", + "gem ent", + "geme nt", + "Ġ Thr", + "ĠT hr", + "ĠTh r", + "Ġquiet ly", + "Ġtor ture", + "Ġtort ure", + "Ġte as", + "Ġtea s", + "Ġ CY", + "ĠC Y", + "Ġ atr", + "Ġa tr", + "Ġat r", + "de velopment", + "dev elopment", + "develop ment", + "- detail", + "-d etail", + "-de tail", + "-det ail", + "Ġl ighter", + "Ġlight er", + "Ġarg uing", + "Ġdes erves", + "Ġdeserve s", + "Ġdeser ves", + "Ġcur riculum", + "_ CONTEXT", + "_CON TEXT", + "_CONT EXT", + "ÅĤ y", + "H ITE", + "HI TE", + "ĉ ID", + "ĉI D", + "/ uploads", + "/upload s", + "/up loads", + "Ġt its", + "Ġtit s", + "Ġti ts", + "r eo", + "re o", + "_ drop", + "_d rop", + "_dr op", + ". UTF", + ".U TF", + "Ġ pickup", + "Ġpick up", + "Ġpic kup", + "Ġgro cery", + "Ġ Pure", + "ĠP ure", + "ĠPur e", + "ĠPu re", + "Ġeas iest", + "P hil", + "Ph il", + "Phi l", + ". feature", + ".f eature", + ".fe ature", + "( \"*", + "(\" *", + "Ġinvest or", + "Ġinve stor", + "t ok", + "to k", + "Ġ jar", + "Ġj ar", + "Ġja r", + "L os", + "Lo s", + "âĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶ", + ". queue", + ".q ueue", + "- speed", + "-s peed", + "-sp eed", + "-spe ed", + "M al", + "Ma l", + "um blr", + "umb lr", + "Ġ CONST", + "ĠCON ST", + "ĠCO NST", + "ĠCONS T", + "Ġ HRESULT", + "ĠH RESULT", + "ĠD ance", + "ĠDan ce", + "ĠDa nce", + "( filePath", + "(file Path", + "Ġattribute d", + "Ġattrib uted", + "ॠį", + "ĠB und", + "ĠBu nd", + "ĠBun d", + "c oins", + "co ins", + "coin s", + "Ġs ão", + "Ġ pir", + "Ġp ir", + "Ġpi r", + "person al", + "pers onal", + "persona l", + "Ġpr elim", + "Ġpre lim", + "Ġpro pose", + "Ġprop ose", + "Ġpropos e", + "Ġ TL", + "ĠT L", + "] ])", + "]] )", + "Ġ Subscription", + "ĠSub scription", + "ĠK re", + "ĠKr e", + ", len", + ",l en", + ". FirstOrDefault", + ".First OrDefault", + ") --", + ")- -", + "_ products", + "_product s", + ".Get Bytes", + "S hip", + "Sh ip", + "Ġ encrypt", + "Ġen crypt", + "Ġenc rypt", + "Ġ SG", + "ĠS G", + "ĠM yst", + "ĠMy st", + "h ir", + "hi r", + "Ġ iterate", + "Ġit erate", + "Ġiter ate", + "Ġint end", + "Ġinte nd", + ".mock ito", + "Ġch apters", + "Ġchapter s", + "Ġchap ters", + "( angle", + "(a ngle", + "(an gle", + "(ang le", + "ĠV lad", + "è® ¾", + "' .ĊĊ", + "'. ĊĊ", + "'.Ċ Ċ", + "Response Body", + "ĠA bd", + "ĠAb d", + "de al", + "dea l", + "Ġbar riers", + "Ġbarrier s", + "Ġbarr iers", + "- outline", + "-out line", + "b ill", + "bi ll", + "bil l", + "ĠF alls", + "ĠFall s", + "ĠFal ls", + "_ second", + "_se cond", + "_sec ond", + ". include", + ".in clude", + ".inc lude", + ". ceil", + ".c eil", + ".ce il", + "Ġ occupation", + "Ġoccup ation", + "ph ony", + "phon y", + ".move To", + "Ġ Jennifer", + "ĠJ ennifer", + "ĠJenn ifer", + "A STER", + "AS TER", + "AST ER", + "ASTE R", + "; \"><", + ";\" ><", + ";\"> <", + "Ġ Enabled", + "ĠEn abled", + "ĠEnable d", + "Ġ terminate", + "Ġter minate", + "Ġterm inate", + "Ġtermin ate", + "Ġ Io", + "ĠI o", + "l ations", + "lation s", + "lat ions", + "ĠTHE ORY", + "Ġear liest", + "Ġ rack", + "Ġr ack", + "Ġrac k", + "Ġra ck", + "Ġ Scar", + "ĠS car", + "ĠSc ar", + "sh ake", + "sha ke", + "c hip", + "ch ip", + "chi p", + "Ġ uv", + "Ġu v", + "Ġall iance", + "п иÑģ", + "пи Ñģ", + "ĠGOOD S", + "z ione", + "zi one", + "zion e", + "Ġ VI", + "ĠV I", + "Ġ {-", + "Ġ{ -", + "Ġfil tering", + "Ġfilter ing", + "Ġfilt ering", + "Ġmis con", + "Ġmisc on", + ".Dock Style", + "Ġb ush", + "Ġbu sh", + "Ġbus h", + "Ġj unk", + "Ġju nk", + "Ġjun k", + "æ Į", + "Ġ QUE", + "ĠQ UE", + "ĠQU E", + "Ġ hooks", + "Ġh ooks", + "Ġhook s", + "Ġho oks", + "Ġf irmware", + "Ġfirm ware", + "Ġ middleware", + "Ġm iddleware", + "Ġmiddle ware", + "d ic", + "di c", + "ĠOak land", + "Ġarr ives", + "Ġarrive s", + "Ġarriv es", + "P ayload", + "Pay load", + "p ixel", + "pix el", + "] |", + "Ġ startDate", + "Ġstart Date", + ". PRO", + ".P RO", + ".PR O", + "_ audio", + "_a udio", + "Ġmid field", + "igid body", + "ĠSw iss", + "Ġ Clip", + "ĠC lip", + "ĠCl ip", + "ĠCli p", + "Ġ Dump", + "ĠD ump", + "ĠDu mp", + "ĠDum p", + "Ġ TextBox", + "ĠText Box", + "Ġ geh", + "Ġg eh", + "Ġge h", + "y ield", + "yi eld", + "o ds", + "od s", + "Ġrefer endum", + "Back end", + "Ġ Cream", + "ĠC ream", + "ĠCr eam", + "ĠCre am", + "Ġd ominated", + "Ġdo minated", + "Ġdom inated", + "Ġdomin ated", + "Ġdominate d", + "Ġdomina ted", + "Ġ Archive", + "ĠA rchive", + "ĠArch ive", + "ĠArc hive", + "Ġr iders", + "Ġrid ers", + "Ġride rs", + "Ġri ders", + "Ġrider s", + ".prepare Statement", + "Ġqu ando", + "Ġquand o", + "Ġqua ndo", + "Ġquan do", + "Ġ chef", + "Ġch ef", + "Ġche f", + "w iki", + "wi ki", + "wik i", + "i nel", + "in el", + "ine l", + "am pling", + "amp ling", + "(\" \\\\", + "(\"\\ \\", + "Ġs ag", + "Ġsa g", + "_ proxy", + "_pro xy", + "_pr oxy", + "ãģ ķ", + "p do", + "pd o", + ". getElementsByTagName", + ".get ElementsByTagName", + ".getElementsBy TagName", + "Ġdemon stration", + "Ġdemonstr ation", + "Ġ NPC", + "ĠN PC", + "ĠNP C", + "Ġ archivo", + "Ġarch ivo", + "en dance", + "end ance", + "enda nce", + "Ġefficient ly", + "( actual", + "(ac tual", + "(act ual", + ". tableView", + ".t ableView", + ".table View", + "Ġm ush", + "Ġmus h", + "Ġmu sh", + "Ġb ears", + "Ġbe ars", + "Ġbear s", + "_ threads", + "_th reads", + "_thread s", + "j as", + "ja s", + "ah un", + "ahu n", + "Ġne ural", + "Ġneu ral", + "Ġneur al", + "Ġdesign ing", + "ĠG DP", + "ĠGD P", + "Ġlif ted", + "Ġlift ed", + "çĽ ®", + "Ġ Joint", + "ĠJ oint", + "ĠJo int", + "ĠJoin t", + "ĠJoi nt", + "Ġ Include", + "ĠIn clude", + "ĠInc lude", + "ĠG iants", + "ĠGi ants", + "ĠGiant s", + "ĠGian ts", + "ĠGia nts", + "Ġwithdraw al", + "Ġ Rent", + "ĠR ent", + "ĠRe nt", + "ĠRen t", + "n ative", + "nat ive", + "Ġ Seek", + "ĠSe ek", + "ĠSee k", + "g ression", + "gr ession", + "gress ion", + "_ CPU", + "_C PU", + "_CP U", + "\\ S", + "Ġ Shield", + "ĠSh ield", + "ĠShi eld", + "Ġs olic", + "Ġso lic", + "Ġsol ic", + "Ġ boom", + "Ġb oom", + "Ġbo om", + "Ġboo m", + "yect o", + "Ġmanufact ure", + "Ġ âĢĭ", + "ĠâĢ ĭ", + "Ġ bbox", + "Ġb box", + "Ġbb ox", + "Ġearth qu", + "oll ectors", + "ollect ors", + "olle ctors", + ":@\" %", + ":@ \"%", + "Ġ loops", + "Ġl oops", + "Ġlo ops", + "Ġloop s", + "J e", + "al king", + "alk ing", + "Ġ Whats", + "ĠWh ats", + "ĠWhat s", + "ĠBo ys", + "ĠBoy s", + ". book", + ".b ook", + ".bo ok", + "AR GE", + "ARG E", + "_ pixel", + "_p ixel", + "_pix el", + "Ġsus pects", + "Ġsusp ects", + "Ġsuspect s", + "Î ¹", + "u sp", + "us p", + "Ġ BMW", + "ĠB MW", + "ĠBM W", + "ie ces", + "iece s", + "iec es", + "( person", + "(p erson", + "(per son", + "å¼ Ģ", + "é »", + "ĠP odcast", + "ĠPod cast", + "Ġ bou", + "Ġb ou", + "Ġbo u", + "( Item", + "(I tem", + "(It em", + "à »", + "( Input", + "(In put", + "Http Get", + "Ġ burg", + "Ġb urg", + "Ġbu rg", + "Ġbur g", + ") ^", + "BO ARD", + "* /,", + "*/ ,", + "Ġ gulp", + "Ġg ulp", + "Ġgu lp", + "Ġgul p", + "ĠB enn", + "ĠBe nn", + "ĠBen n", + "Ġde cks", + "Ġdec ks", + "Ġdeck s", + ". statusCode", + ".status Code", + "Ġ acute", + "Ġac ute", + "Ġh ug", + "Ġhu g", + "u gu", + "ug u", + "Ġ pled", + "Ġp led", + "Ġpl ed", + "Ġple d", + ", \"%", + ",\" %", + "h ape", + "ha pe", + "hap e", + "Ġз ап", + "Ġза п", + "ĠM aine", + "ĠMain e", + "ĠMa ine", + "ĠMai ne", + ". real", + ".re al", + "Ġd alam", + "Ġda lam", + "Ġdal am", + "Ġ Minor", + "ĠMin or", + "ĠMi nor", + ". Float", + ".F loat", + "d isp", + "dis p", + "di sp", + "Ġ tl", + "Ġt l", + "Ġen count", + "Ġenc ount", + "= >$", + "=> $", + "Ġ fg", + "Ġf g", + "t ees", + "te es", + "tee s", + "ĠRe comm", + "ĠRec omm", + "ĠReco mm", + "ä l", + "Ġ chemistry", + "Ġchem istry", + "B locks", + "Block s", + "Bl ocks", + "Bloc ks", + "Blo cks", + "O ID", + "OI D", + "Ġf orex", + "Ġfor ex", + "Ġfore x", + "Ġfo rex", + "Ġ Append", + "ĠApp end", + "ĠAp pend", + "ĠAppe nd", + "Ġ {*", + "Ġ{ *", + "Ġ Supply", + "ĠS upply", + "ĠSup ply", + "CG Float", + "( bl", + "(b l", + "Ġ ate", + "Ġa te", + "Ġat e", + "ad ora", + "ado ra", + "ador a", + "Ġg ust", + "Ġgu st", + "Ass oci", + "Assoc i", + "> .Ċ", + ">. Ċ", + "F ETCH", + ". serial", + ".s erial", + ".se rial", + ".ser ial", + "widget s", + "wid gets", + "ard less", + "i efs", + "ie fs", + "ief s", + "_ FULL", + "_F ULL", + "ern etes", + "ernet es", + "erne tes", + "Ġ Pred", + "ĠP red", + "ĠPr ed", + "ĠPre d", + "Ø Ń", + "äº ĭ", + "ub ernetes", + "ubern etes", + "Ġ Laura", + "ĠL aura", + "ĠLa ura", + "ĠLaur a", + "ĠLau ra", + "Ġl abeled", + "Ġlabel ed", + "Ġlab eled", + "High light", + "Ġanno ying", + "Ġannoy ing", + "/ update", + "/up date", + "( description", + "(d escription", + "(de scription", + "(des cription", + "Ġint imid", + "Ġintim id", + "$ c", + "\" )))Ċ", + "\") ))Ċ", + "\")) )Ċ", + "\"))) Ċ", + ". AP", + ".A P", + "Ġ[ ]*", + "Ġ[] *", + "Ġ EXIT", + "ĠEX IT", + ". Host", + ".H ost", + "Ġ OPEN", + "ĠOP EN", + ". sendMessage", + ".send Message", + "_ camera", + "_c amera", + "_cam era", + "_ tile", + "_t ile", + "_ti le", + "Ġth erm", + "Ġthe rm", + "Ġther m", + "onom ous", + "Ġdis adv", + "Ġn aar", + "Ġna ar", + "index Of", + "Ġ PP", + "ĠP P", + ". protocol", + ".prot ocol", + ".proto col", + "A FE", + "AF E", + "Ġ textures", + "Ġtext ures", + "Ġtexture s", + "Ġtex tures", + "Ġtextu res", + "######## ########################################", + "################ ################################", + "################################ ################", + "######################################## ########", + "######################## ########################", + "um bai", + "umb ai", + "umba i", + ". stats", + ".st ats", + ".stat s", + "Ġ GE", + "ĠG E", + "Ġ ie", + "Ġi e", + "Ġ STD", + "ĠS TD", + "ĠST D", + "ĠM ann", + "ĠMan n", + "ĠMa nn", + ". reflect", + ".ref lect", + "K B", + "Ġd ive", + "Ġdi ve", + "Ġdiv e", + ". wav", + ".w av", + "/* ----------------------------------------------------------------", + "/*------------------------------------------------ ----------------", + "/ settings", + "/s ettings", + "/set tings", + ".l ifecycle", + ".life cycle", + "Ġda ughters", + "Ġdaughter s", + "o rus", + "or us", + "oru s", + "u ber", + "ub er", + "ube r", + "N ING", + "NI NG", + "s tri", + "st ri", + "str i", + "Ġ Tip", + "ĠT ip", + "ĠTi p", + "Ġ zn", + "Ġz n", + "Ġsw itched", + "Ġswitch ed", + "i net", + "in et", + "ine t", + "uff y", + "uf fy", + "ĠTransport ation", + "( conf", + "(con f", + "(co nf", + "f rica", + "fr ica", + "Ġ XL", + "ĠX L", + "Ġ Lead", + "ĠL ead", + "ĠLe ad", + "_ percent", + "_per cent", + "_perc ent", + "< Map", + " __", + "->_ _", + "per missions", + "perm issions", + "permission s", + "ĠD etermine", + "ĠDetermin e", + ". Man", + ".M an", + ".Ma n", + "Ġadv ances", + "Ġadvance s", + ". InputStream", + ".Input Stream", + "Ġstrong est", + "Ġstron gest", + "Ġe Bay", + "Ġ# -", + "Ġ dirname", + "Ġdir name", + "Ġ SMS", + "ĠS MS", + "ĠSM S", + "Ġmed ications", + "Ġmedic ations", + "Ġmedication s", + "Ġam ended", + "Ġamen ded", + "Ġamend ed", + "Ġchurch es", + "ĠIm perial", + "ĠImp erial", + "ĠImper ial", + "$ row", + "$r ow", + "ĠMad ison", + "Ġ Insp", + "ĠIn sp", + "ĠIns p", + "Ġaff air", + "Ġaf fair", + "Ġpsych ology", + "Ġpsycho logy", + "v h", + "Ġ severity", + "Ġse verity", + "Ġsever ity", + "âĢ IJ", + "Ġst rips", + "Ġstr ips", + "Ġstri ps", + "Ġstrip s", + "A H", + "vert ising", + "vertis ing", + "Ġc onse", + "Ġcon se", + "Ġcons e", + "IM AGE", + "IMA GE", + "Ġ Stats", + "ĠSt ats", + "ĠStat s", + "ĠSta ts", + "ĉ sc", + "ĉs c", + ". Cursor", + ".C ursor", + "Ġ freeze", + "Ġf reeze", + "Ġfree ze", + "s son", + "ss on", + "( xml", + "(x ml", + "Ġ Susan", + "ĠS usan", + "ĠSus an", + "ĠSu san", + ". tile", + ".t ile", + "e ded", + "ed ed", + "ede d", + "ĠĠ ĠĠĉĉĉ", + "ĠĠĠĠ ĉĉĉ", + "ĠĠĠ Ġĉĉĉ", + "ĠĠĠĠĉ ĉĉ", + "ĠĠĠĠĉĉ ĉ", + "u elle", + "ue lle", + "uel le", + "uell e", + "ĠMitch ell", + "b ased", + "base d", + "ba sed", + "bas ed", + "Oper and", + "Opera nd", + "½ æķ°", + "Ġ FF", + "ĠF F", + "ĉ strcpy", + "ĉstr cpy", + "ou nces", + "oun ces", + "ounc es", + "ounce s", + "il do", + "ild o", + ".execute Query", + "Ġappro aching", + "Ġapproach ing", + "Ġ Seven", + "ĠS even", + "ĠSe ven", + "ĠSev en", + "Ġ nuts", + "Ġn uts", + "Ġnut s", + "Ġnu ts", + "Ġ ric", + "Ġr ic", + "Ġri c", + "ass ignment", + "assign ment", + "Ġ calculator", + "Ġcal culator", + "Ġcalcul ator", + "Ġcalc ulator", + "ĠMur phy", + "ĠB ou", + "ĠBo u", + "í Ħ", + "Ġ butt", + "Ġb utt", + "Ġbut t", + "Ġbu tt", + "Ġ ticks", + "Ġt icks", + "Ġti cks", + "Ġtick s", + "Ġtic ks", + "Project s", + "Proj ects", + "i lib", + "il ib", + "ili b", + ".text Color", + "m ov", + "mo v", + "_ logo", + "_l ogo", + "_log o", + "_lo go", + "( template", + "(t emplate", + "(temp late", + "Ġ INIT", + "ĠIN IT", + "Ġ imageView", + "Ġimage View", + "s criptions", + "script ions", + "scri ptions", + "scription s", + "OR ITY", + "Con sumer", + "Cons umer", + "Consum er", + "Ġun precedented", + "Ġtour ist", + "Ġtou rist", + "Ġ bron", + "Ġb ron", + "Ġbr on", + "Ġbro n", + "Ġcon tractor", + "Ġcontract or", + "Ġcontr actor", + "Ġcontra ctor", + "Ġ licence", + "Ġli cence", + "Ġlic ence", + "Ġ Nam", + "ĠN am", + "ĠNa m", + "æ ¯", + "( transform", + "(trans form", + "_ ATT", + "_A TT", + "_AT T", + "P ref", + "Pr ef", + "Pre f", + "Ġ Gam", + "ĠG am", + "ĠGa m", + "Ġvess els", + "Ġvessel s", + "Ġh av", + "Ġha v", + "L ater", + "La ter", + "Lat er", + "Late r", + ". ToLower", + ".To Lower", + "Ġ urls", + "Ġurl s", + "Ġur ls", + "Ġbreak down", + "Ġpen alties", + "Ġpenal ties", + "Ġf oster", + "Ġfo ster", + "Ġfost er", + "Ġfos ter", + "Ġ UE", + "ĠU E", + "Ġc lue", + "Ġcl ue", + "c omed", + "com ed", + "co med", + "come d", + "åIJį 称", + "- main", + "-m ain", + "Ġ pts", + "Ġp ts", + "Ġpt s", + "Ġco unted", + "Ġcount ed", + "Ġcoun ted", + "i cts", + "ic ts", + "ict s", + "/ post", + "/p ost", + "Ġ getattr", + "Ġget attr", + "Ġ ping", + "Ġp ing", + "Ġpi ng", + "Ġpin g", + "AN CEL", + "ANCE L", + "ANC EL", + "Ġ pec", + "Ġp ec", + "Ġpe c", + "Ñħ од", + "Ñħо д", + "an tom", + "ant om", + "anto m", + "Ġ Blueprint", + "ĠBlue print", + "ĠEvent Emitter", + "Ġ lä", + "Ġl ä", + "æ ²", + "Ġst raw", + "Ġstr aw", + "Ġstra w", + "( comp", + "(c omp", + "(com p", + "(co mp", + "' une", + "'un e", + "'u ne", + "> N", + "- client", + "-c lient", + "-cl ient", + "-cli ent", + "es Module", + "- base", + "-b ase", + "Ġret reat", + "Ġretr eat", + "_ simple", + "_s imple", + "_sim ple", + "ĉ ĉĉĉĉĉĠ", + "ĉĉ ĉĉĉĉĠ", + "ĉĉĉĉ ĉĉĠ", + "ĉĉĉ ĉĉĉĠ", + "ĉĉĉĉĉ ĉĠ", + "ĉĉĉĉĉĉ Ġ", + "f ee", + "fe e", + "' )čĊčĊ", + "') čĊčĊ", + "')čĊ čĊ", + "Control Item", + "Ġsub scribers", + "Ġsubscri bers", + "Ġsubscribe rs", + "Ġsubscriber s", + "p lease", + "pl ease", + "ple ase", + "Ġ Eff", + "ĠE ff", + "ĠEf f", + "Ġp ound", + "Ġpo und", + "Ġpou nd", + "Ġ Bytes", + "ĠBy tes", + "ĠByte s", + "ĠT ea", + "ĠTe a", + "_ activity", + "_act ivity", + "_activ ity", + "Ġmax im", + "Ġmaxi m", + "Ġ opcode", + "Ġop code", + "Ġopc ode", + "B SD", + "BS D", + ". constant", + ".con stant", + ".const ant", + ".cons tant", + "; }", + "omb res", + "ombre s", + "Ġcare ers", + "Ġcareer s", + ") .ĊĊĊĊ", + "). ĊĊĊĊ", + ").ĊĊ ĊĊ", + ").Ċ ĊĊĊ", + ").ĊĊĊ Ċ", + "Ġsp reading", + "Ġspread ing", + "Ġspre ading", + "- expanded", + "-exp anded", + "-expand ed", + "Ġ Ord", + "ĠO rd", + "ĠOr d", + "am arin", + "ama rin", + "amar in", + "Ġmob ility", + "Ġmobil ity", + "Un fortunately", + "a kk", + "ak k", + "N L", + "_ redirect", + "_re direct", + "_red irect", + "Ġ PG", + "ĠP G", + "Ġ Sensor", + "ĠS ensor", + "ĠSens or", + "b ol", + "bo l", + "t ap", + "ta p", + "_ MEMORY", + "_MEM ORY", + "Ġ UIAlert", + "ĠUI Alert", + "pl itude", + "plit ude", + "We bsite", + "Web site", + "Ġ Logo", + "ĠL ogo", + "ĠLog o", + "ĠLo go", + "l ove", + "lo ve", + "lov e", + "[ ind", + "[i nd", + "[in d", + "Ġalto gether", + "Ġwonder ed", + "Ġ esper", + "Ġes per", + "Ġesp er", + "ĠLib eral", + "ĠLiber al", + "Ġ oss", + "Ġo ss", + "Ġos s", + "Ġe lit", + "Ġel it", + "Ġst iff", + "Ġstif f", + "od ox", + "odo x", + "_ mentions", + "_m entions", + "_ment ions", + "ĠDou glas", + "ĠDoug las", + "_ pid", + "_p id", + "_pi d", + "Ġ CK", + "ĠC K", + "ĠinitWith Frame", + ". blog", + ".b log", + ".bl og", + "p kg", + "pk g", + "ang hai", + "QUI RED", + "QUIRE D", + "u u", + "Ġ mkdir", + "Ġm kdir", + "Ġmk dir", + "AT AL", + "ATA L", + "Ġu nh", + "Ġun h", + "i nces", + "in ces", + "ince s", + "inc es", + "s th", + "st h", + "Ġhypo thesis", + "Ġhypoth esis", + "Ġc ata", + "Ġca ta", + "Ġcat a", + "Ġ TB", + "ĠT B", + "Ġ Clar", + "ĠC lar", + "ĠCl ar", + "ĠCla r", + "Ġpre decess", + "Ġpred ecess", + "Ġsit uated", + "Ġsitu ated", + "- world", + "-w orld", + ") )/", + ")) /", + "Ġhead lines", + "Ġheadline s", + ". stat", + ".s tat", + ".st at", + "Ġout break", + "s path", + "sp ath", + "spa th", + "_ FLAGS", + "_FLAG S", + "ĠServlet Exception", + "S un", + "Su n", + "F ROM", + "FR OM", + "Ġ Dir", + "ĠD ir", + "ĠDi r", + "ãĥ» ãĥ»ãĥ»", + "ãĥ»ãĥ» ãĥ»", + "_ coord", + "_c oord", + "_co ord", + "ĠOp tim", + "ĠOpt im", + "M onitor", + "Mon itor", + ". bit", + ".b it", + ".bi t", + "X XX", + "XX X", + "Ġto das", + "Ġtod as", + "Ġtoda s", + "f eld", + "fe ld", + "fel d", + "ÑĢ и", + "i mir", + "im ir", + "imi r", + "Ġpolit ically", + "Ġpolitical ly", + "Ġpolitic ally", + "Ġm olecular", + "Ġmolec ular", + "Ġmole cular", + "Ġtr aded", + "Ġtrad ed", + "Ġtrade d", + "Ġtra ded", + "Ġ {{$", + "Ġ{ {$", + "Ġ{{ $", + "ĠSw edish", + "ĠSwe dish", + "Ġ'@ /", + "_ REAL", + "_RE AL", + "Ġ warehouse", + "Ġw arehouse", + "Ġware house", + "t oday", + "to day", + "tod ay", + ", L", + "o rp", + "or p", + "< section", + " false", + ">f alse", + "Ġ spa", + "Ġs pa", + "Ġsp a", + "Ġ Near", + "ĠN ear", + "ĠNe ar", + "ì ķ", + "Ġint rig", + "Ġintr ig", + "_ members", + "_m embers", + "_mem bers", + "_member s", + "w ave", + "wa ve", + "wav e", + "Ġanal ysts", + "Ġanaly sts", + "Ġanalyst s", + "Ġanalys ts", + "_ OS", + "_O S", + "e din", + "ed in", + "edi n", + "Ġ Fri", + "ĠF ri", + "ĠFr i", + "Ġret rieved", + "Ġretrie ved", + "Ġretrieve d", + "Ġretr ieved", + "Reg ular", + "_ obs", + "_o bs", + "_ob s", + "EX PORT", + "EXP ORT", + "' )}}\"", + "') }}\"", + "')}} \"", + "')} }\"", + "\" class", + "\"c lass", + "__ ((", + "__( (", + "b ucket", + "bu cket", + "Ġ stro", + "Ġs tro", + "Ġst ro", + "Ġstr o", + "Ġ Patch", + "ĠP atch", + "ĠPat ch", + "y stick", + "yst ick", + "ys tick", + "ful ness", + "a pos", + "ap os", + "apo s", + "D a", + "ĉ ĉĉĉĉĠĠĠ", + "ĉĉ ĉĉĉĠĠĠ", + "ĉĉĉĉ ĉĠĠĠ", + "ĉĉĉ ĉĉĠĠĠ", + "ĉĉĉĉĉ ĠĠĠ", + "ĉĉĉĉĉĠ ĠĠ", + "ĉĉĉĉĉĠĠ Ġ", + "Ġen rich", + "Ġenr ich", + "un ordered", + "h ole", + "ho le", + "hol e", + "C ong", + "Con g", + "Co ng", + "< Product", + "ĠC urt", + "ĠCur t", + "ĠCu rt", + "( the", + "(t he", + "(th e", + "_ lower", + "_l ower", + "_lo wer", + "_low er", + "Ġavoid ing", + "Ġ buzz", + "Ġb uzz", + "Ġbu zz", + "Ġbuz z", + "Ġv iable", + "Ġvi able", + "Ġvia ble", + "u ba", + "ub a", + "- is", + "-i s", + "a rel", + "ar el", + "are l", + "Ġ acted", + "Ġact ed", + "Ġac ted", + "- details", + "-d etails", + "-de tails", + "-detail s", + "-det ails", + "ภĩ", + "Ġ Theory", + "ĠThe ory", + "ĠTheo ry", + "ĠP un", + "ĠPu n", + "Ġ Anonymous", + "ĠAn onymous", + ".. .\"Ċ", + "... \"Ċ", + "...\" Ċ", + "è res", + "ère s", + "åı ¯", + "Ġ Vision", + "ĠV ision", + "ĠVis ion", + "_ sem", + "_s em", + "_se m", + "a sha", + "as ha", + "ash a", + "Ġcelebr ity", + "Ġ endDate", + "Ġend Date", + "Ġ populate", + "Ġpop ulate", + "Ġpopul ate", + "Ġc uis", + "Ġcu is", + "Ġcui s", + "q uant", + "qu ant", + "qua nt", + "quan t", + "f loor", + "fl oor", + "flo or", + "Ġglobal ly", + "Ġglob ally", + "Ġc ruise", + "Ġcru ise", + "Ġcruis e", + "ĠStan ley", + "Ġb ikes", + "Ġbi kes", + "Ġbike s", + "Ġbik es", + ". getConnection", + ".get Connection", + "Ġpoor ly", + "_ other", + "_o ther", + "_ot her", + "am ping", + "amp ing", + ". \");ĊĊ", + ".\" );ĊĊ", + ".\");Ċ Ċ", + ".\") ;ĊĊ", + ".\"); ĊĊ", + "o di", + "od i", + "_ ADMIN", + "_A DMIN", + "_AD MIN", + ". colors", + ".color s", + ".col ors", + "ĠG aming", + "ĠGa ming", + "ĠGam ing", + "> ';ĊĊ", + ">' ;ĊĊ", + ">';Ċ Ċ", + ">'; ĊĊ", + "STR UCT", + "STRU CT", + "Q R", + "I Ds", + "ID s", + "( arguments", + "(arg uments", + "(argument s", + "_ aux", + "_a ux", + "( Event", + "(E vent", + "_ PRIVATE", + "_PR IVATE", + "_PRIV ATE", + "ĠT rek", + "ĠTr ek", + "ĠTre k", + "Ġ downloads", + "Ġdown loads", + "Ġdownload s", + "m utable", + "mut able", + "mu table", + "_ STRUCT", + "_STR UCT", + "( wx", + "(w x", + "Ġ domains", + "Ġdom ains", + "Ġdomain s", + "Ġdoma ins", + "js px", + "jsp x", + "ĠVi agra", + "ĠVia gra", + "Command s", + "Comm ands", + "J s", + ". cfg", + ".c fg", + ".cf g", + "Content Pane", + "Ġ EditText", + "ĠEdit Text", + "à¥į à¤", + "At tach", + "Att ach", + "Ġ ARM", + "ĠA RM", + "ĠAR M", + "pos itive", + "posit ive", + "Ġ Generated", + "ĠG enerated", + "ĠGener ated", + "ĠGenerate d", + "ĠGene rated", + "Ġse ized", + "Ġseiz ed", + "Ġsei zed", + "Ġseize d", + "= :", + "Ġ electronics", + "Ġelect ronics", + "Ġelectronic s", + "Ġelectron ics", + "Ġ AppComponent", + "ĠApp Component", + "/ ',Ċ", + "/' ,Ċ", + "/', Ċ", + ". equalsIgnoreCase", + ".equals IgnoreCase", + "Do ctrine", + "d isk", + "dis k", + "di sk", + "Ġ Political", + "ĠPol itical", + "ĠPolit ical", + "C HO", + "CH O", + "< F", + "ĉ height", + "ĉh eight", + "Ġ Bug", + "ĠB ug", + "ĠBu g", + ". le", + ".l e", + "i kh", + "ik h", + "Ġ milliseconds", + "Ġm illiseconds", + "Ġmill iseconds", + "Ġmilli seconds", + "Ġconst itu", + "Ġconstit u", + "m ag", + "ma g", + ". nl", + ".n l", + "- range", + "-r ange", + "-ra nge", + "ang gal", + "' ,[", + "', [", + "r opolitan", + "ropol itan", + "Ġ Ãľ", + "Ġà ľ", + "Ġ UC", + "ĠU C", + ". desc", + ".d esc", + ".de sc", + ".des c", + "- LAST", + "-L AST", + "f stream", + "fst ream", + "i bil", + "ib il", + "ibi l", + "Ġf ier", + "Ġfi er", + "Ġfie r", + "V ERY", + "VER Y", + "VE RY", + "Ġ ë³", + "Ġë ³", + "I RT", + "IR T", + "_ UI", + "_U I", + "( abs", + "(a bs", + "(ab s", + "Ġk nees", + "Ġkn ees", + "Ġkne es", + "Ġknee s", + "Ġr ookie", + "Ġro okie", + "Ġ Vac", + "ĠV ac", + "ĠVa c", + "a rena", + "ar ena", + "are na", + "aren a", + "comm end", + "- \\", + "ĠSUB STITUTE", + "S oft", + "So ft", + "Ġpart ir", + "Ġpar tir", + "Ġparti r", + "we alth", + "è¦ ģ", + "( dataset", + "(d ataset", + "(data set", + "(dat aset", + "(datas et", + "Ġ Climate", + "ĠCl imate", + "ĠClim ate", + "ĠCli mate", + "- show", + "-s how", + "-sh ow", + "Ġrel iability", + "Ġreli ability", + "_ chunk", + "_ch unk", + "ä» £", + "_ stock", + "_st ock", + "ĠEX EMPLARY", + "ï ¸ı", + "ï¸ ı", + "Ġ vÃŃ", + "Ġv ÃŃ", + "Ġsm iled", + "Ġsmile d", + "Ġdr ill", + "Ġdri ll", + ". Function", + ".F unction", + ".Func tion", + "Ġ SI", + "ĠS I", + "Ġre gression", + "Ġreg ression", + "Ġregress ion", + "- X", + "Ġ Jar", + "ĠJ ar", + "ĠJa r", + "p ref", + "pr ef", + "pre f", + "ĉ success", + "ĉs uccess", + "ĠH itler", + "ĠHit ler", + "Ġinst inct", + "Ġfem mes", + "Ġfemme s", + "Ġ lover", + "Ġl over", + "Ġlo ver", + "Ġlove r", + "Ġlov er", + "< Ċ", + "Ġmulti plier", + "Ġmultip lier", + "r il", + "ri l", + "Re size", + "Res ize", + "Ġ Authorization", + "ĠAuthor ization", + "ĠK an", + "ĠKa n", + "Dispatch ToProps", + "Ġc rops", + "Ġcr ops", + "Ġcro ps", + "Ġcrop s", + "t okens", + "token s", + "tok ens", + "e cn", + "ec n", + "ent ially", + "ential ly", + "enti ally", + "ĠINTERRU PTION", + "f ake", + "fa ke", + "fak e", + "Un defined", + "Und efined", + "Ġ AK", + "ĠA K", + "Ġ TestCase", + "ĠTest Case", + "Ġ rab", + "Ġr ab", + "Ġra b", + "Ġ torrent", + "Ġt orrent", + "Ġtor rent", + "Ġ Ot", + "ĠO t", + "B ars", + "Bar s", + "Ba rs", + "Ġ lecture", + "Ġl ecture", + "Ġlect ure", + "Ġen jo", + "Ġrespond s", + "Ġresp onds", + "Ġ indexed", + "Ġindex ed", + "Ġinde xed", + "Of Work", + "_ chain", + "_ch ain", + ") )->", + ")) ->", + "))- >", + "Ġ Beauty", + "ĠBe auty", + "ĠBeaut y", + "ĠBea uty", + "ĠBeau ty", + "Ġ` <", + "Ġtouch ing", + "Ġtou ching", + "Ġ |--", + "Ġ| --", + "Ġ|- -", + "ĉ flag", + "ĉf lag", + "normal ize", + "Ġt rapped", + "Ġtr apped", + "Ġtra pped", + "Ġtrap ped", + "Ġestablish ing", + "/ build", + "/b uild", + "A J", + "f y", + "- react", + "-re act", + "a vn", + "av n", + "RI PTION", + "RIPT ION", + "Ġk ut", + "Ġku t", + "Ġ Fashion", + "ĠF ashion", + "Ġ Inform", + "ĠIn form", + "ĠInfo rm", + "ĠInf orm", + "c urities", + "cur ities", + "< byte", + "{Ċ", + "Ġ= >{Ċ", + "Ġ=> {Ċ", + "Ġgar lic", + "Ġ repr", + "Ġre pr", + "Ġrep r", + "Ġre plies", + "Ġrep lies", + "Ġrepl ies", + "( prop", + "(p rop", + "(pro p", + "(pr op", + "Ġspirit s", + "Ġspir its", + "Ġins pire", + "Ġinspir e", + "Ġinsp ire", + "Ġbase ment", + "Ġbas ement", + ". reject", + ".re ject", + "Ġ hints", + "Ġh ints", + "Ġhint s", + "Ġhi nts", + "Ġhin ts", + "Ġpol ling", + "Ġpoll ing", + "ĉ ĠĊ", + "ĉĠ Ċ", + "_ rating", + "_r ating", + "_ra ting", + "_rat ing", + "Ġc ath", + "Ġca th", + "Ġcat h", + "a vier", + "av ier", + "avi er", + "Ġ compressed", + "Ġcom pressed", + "Ġcomp ressed", + "Ġcompr essed", + "Ġcompress ed", + "Ġ VS", + "ĠV S", + "] '", + "Ġjud icial", + "ĠT rend", + "ĠTr end", + "ĠTre nd", + "tr aining", + "tra ining", + "train ing", + "EST AMP", + "ogn ition", + "Ä ģ", + "S ENT", + "SE NT", + "SEN T", + "v entions", + "vent ions", + "vention s", + "Ġconsult ant", + "Ġconsulta nt", + "Ġconsul tant", + "u mph", + "um ph", + "ump h", + "Ġ userService", + "Ġuser Service", + ", NULL", + ",N ULL", + "k h", + "D ear", + "De ar", + "_ BAD", + "_B AD", + "it ations", + "itation s", + "itat ions", + "Ġmet aph", + "Ġmeta ph", + "' é", + "and ise", + "andi se", + "- font", + "-f ont", + ". chart", + ".c hart", + ".ch art", + ".char t", + "Ġ sg", + "Ġs g", + "_ Controller", + "_Control ler", + ". jpeg", + ".j peg", + ".jp eg", + "Ġ ULONG", + "ĠU LONG", + "ĠUL ONG", + "ĉ game", + "ĉg ame", + "( ss", + "(s s", + "ĠM aj", + "ĠMa j", + "ĉ go", + "ĉg o", + "Ġ Sad", + "ĠS ad", + "ĠSa d", + "ĠB erg", + "ĠBe rg", + "ĠBer g", + "Ġ Mine", + "ĠM ine", + "ĠMin e", + "ĠMi ne", + "P ack", + "Pa ck", + "Ġres istant", + "Ġresist ant", + "Ġ ROM", + "ĠR OM", + "ĠRO M", + "Ġ peg", + "Ġp eg", + "Ġpe g", + "ĠSt anford", + "ĠStan ford", + "Ġ Yahoo", + "ĠY ahoo", + "ĠYa hoo", + "ĠYah oo", + "Ġ scaled", + "Ġs caled", + "Ġsc aled", + "Ġscale d", + "Ġsca led", + "Ġscal ed", + "Ġ lan", + "Ġl an", + "Ġla n", + "= []", + "=[ ]", + "\" /> < /", + "Ġ plots", + "Ġp lots", + "Ġpl ots", + "Ġplot s", + "Ġplo ts", + ". *Ċ", + ".* Ċ", + "Ġtr aveled", + "Ġtravel ed", + "Ġtra veled", + "Ġtrav eled", + "ĠO scar", + "ĠOs car", + "ĠOsc ar", + "V L", + "Ġl inking", + "Ġlink ing", + "Ġlin king", + "Ġt ires", + "Ġti res", + "Ġtire s", + "Ġtir es", + "Ġ' *'", + "Ġ'* '", + "ĠBuffer ed", + "ĠBuff ered", + "e ri", + "er i", + "Ġ ****", + "Ġ* ***", + "Ġ** **", + "Ġ*** *", + "Ġover look", + "Ġoverl ook", + ". Non", + ".N on", + ".No n", + "Ġr és", + "Ġré s", + "Ġe gy", + "Ġeg y", + "å° ı", + "Ġatt acker", + "Ġattack er", + "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ", + ". sync", + ".s ync", + ".syn c", + ".sy nc", + "AS CADE", + "ASC ADE", + "G round", + "Gr ound", + "Gro und", + "Ġ decay", + "Ġdec ay", + "Ġ Ton", + "ĠT on", + "ĠTo n", + "Ġjew elry", + "Ġjewel ry", + "Ġb ypass", + "Ġby pass", + "Ġm embr", + "Ġmem br", + "Ġmemb r", + "R NA", + "RN A", + "< System", + " ččĊ", + "Ġs ud", + "Ġsu d", + "ĉ background", + "ĉback ground", + "Ġsch olars", + "Ġscholar s", + "-m uted", + "a rá", + "ar á", + "Ġ =====", + "Ġ= ====", + "Ġ== ===", + "Ġ=== ==", + "Ġ==== =", + "Ġ ____", + "Ġ_ ___", + "Ġ__ __", + "Ġ___ _", + "C reat", + "Cre at", + "Cr eat", + "e never", + "en ever", + "ene ver", + "/ wp", + "/w p", + "Ġ VPN", + "ĠV PN", + "ĠVP N", + "Error Code", + ") ],Ċ", + ")] ,Ċ", + ")], Ċ", + "( builder", + "(b uilder", + "(build er", + "Ġ Enemy", + "ĠEn emy", + "S ensor", + "u sa", + "us a", + "Ġtr iggers", + "Ġtrigger s", + "Ġtrig gers", + "Ġplay offs", + "Ġplayoff s", + "_ REQ", + "_RE Q", + "_R EQ", + "Ġ (~", + "Ġ( ~", + "ĠB arry", + "ĠBar ry", + "ĠBarr y", + "Ġperman ently", + "Ġpermanent ly", + "Ġ RUN", + "ĠR UN", + "ĠRU N", + "Ġb ure", + "Ġbu re", + "Ġbur e", + ".Fatal f", + ".Fat alf", + "Ġch ick", + "Ġchi ck", + "Ġchic k", + "ĉ panic", + "ĉp anic", + "p si", + "ps i", + "o ka", + "ok a", + "éĢ ī", + "> [", + "Ġunder stands", + "Ġunderstand s", + "Ġunderst ands", + "Ġ Junior", + "ĠJun ior", + "ĠJuni or", + "Ġ INFO", + "ĠIN FO", + "ĠINF O", + "= mysqli", + "=m ysqli", + "=mysql i", + "us tain", + "ust ain", + "usta in", + "- source", + "-s ource", + "s erv", + "se rv", + "ser v", + "Ġ CREATE", + "ĠC REATE", + "ĠCRE ATE", + ". au", + ".a u", + "Ġs ells", + "Ġsell s", + "Ġsel ls", + "Ġ ĠĊĠĠĊ", + "ĠĠ ĊĠĠĊ", + "ĠĠĊ ĠĠĊ", + "E urope", + "Euro pe", + "z w", + "p reh", + "pr eh", + "pre h", + "ĠN SA", + "ĠNS A", + "Ġ xy", + "Ġx y", + "ภ´", + "Ġ Beyond", + "ĠB eyond", + "ĠBey ond", + "In stead", + "Inst ead", + "Non Query", + "Ġa rise", + "Ġar ise", + "Ġavoid ed", + ". emplace", + ".em place", + ".emp lace", + "_ models", + "_model s", + "_mode ls", + "_mod els", + "} ),Ċ", + "}) ,Ċ", + "}), Ċ", + "Ġ hid", + "Ġh id", + "Ġhi d", + "Ġ &_", + "Ġ& _", + ". points", + ".p oints", + ".point s", + ".po ints", + ".poi nts", + ". getWidth", + ".get Width", + ". Exec", + ".Ex ec", + ".E xec", + "Ġ ////", + "Ġ// //", + "Ġ/ ///", + "Ġ/// /", + "Ġ Sessions", + "ĠS essions", + "ĠSession s", + ". ..\\", + ".. .\\", + "... \\", + "ĠCol omb", + "ĠColo mb", + "Ġacceler ation", + "Ġaccel eration", + "re store", + "rest ore", + "Ġ ile", + "Ġi le", + "Ġil e", + "o bic", + "ob ic", + "obi c", + "< Node", + " }Ċ", + ">} Ċ", + "pl aint", + "plain t", + "pla int", + "get Text", + "Ġindividual ly", + "Ġindivid ually", + "Ġ checkbox", + "Ġcheck box", + "U Y", + "ĠL amb", + "ĠLa mb", + "ĠLam b", + "Ġdys function", + "ĠL ar", + "ĠLa r", + "à °", + "Ġ Creating", + "ĠC reating", + "ĠCr eating", + "ĠCre ating", + "ĠCreat ing", + "' );ĊĊĊ", + "') ;ĊĊĊ", + "');Ċ ĊĊ", + "');ĊĊ Ċ", + "'); ĊĊĊ", + "\" They", + "\"The y", + "\"T hey", + "l ocations", + "loc ations", + "location s", + "_ CORE", + "_C ORE", + "_CO RE", + "_COR E", + "Inter action", + "umbn ails", + "umbnail s", + "Ġ Partner", + "ĠP artner", + "ĠPart ner", + "b rit", + "br it", + "Ġl esser", + "Ġless er", + "Ġles ser", + "Ġ Slot", + "ĠS lot", + "ĠSl ot", + "ĠSlo t", + "set Attribute", + "Ġ Wave", + "ĠW ave", + "ĠWa ve", + ". po", + ".p o", + "/ store", + "/st ore", + "Ġb rowsing", + "Ġbrows ing", + "Ġbrow sing", + "_ pd", + "_p d", + "s ume", + "sum e", + "su me", + "s ed", + "se d", + "C urve", + "Cur ve", + "Cu rve", + "Ġpl asma", + "Ġsusp icious", + "ìĿ ¸", + "Ġ Bah", + "ĠB ah", + "ĠBa h", + "Ġ Explicit", + "ĠExp licit", + "ĠExpl icit", + "_ CC", + "_C C", + ".Client Size", + "\\ View", + "\\V iew", + "Ġsub stit", + "Ġsubs tit", + "Ġsubst it", + "l oon", + "lo on", + "loo n", + "Ġ GAME", + "ĠG AME", + "ĠGA ME", + "ĠGAM E", + "ĠB rid", + "ĠBr id", + "ĠBri d", + "Ľ 建", + "_ User", + "_U ser", + "Ġs quares", + "Ġsqu ares", + "Ġsquare s", + "f one", + "fo ne", + "fon e", + "Ġsa cred", + "Ġsac red", + "Ġsacr ed", + "ug hs", + "ugh s", + "] interface", + "Ġ Throw", + "ĠTh row", + "ĠThr ow", + "ĠK irk", + "ĠKir k", + "ĠKi rk", + "Ġem pire", + "Ġemp ire", + "Ġempir e", + "Ġass essed", + "Ġassess ed", + "Ġasses sed", + "T ax", + "Ta x", + "ĠHe aven", + "- buffer", + "-b uffer", + "_ STATIC", + "_ST ATIC", + "_STAT IC", + "é né", + "én é", + "-b ordered", + "-border ed", + "Ġp unct", + "Ġpun ct", + "( mode", + "(m ode", + "(mod e", + "Ġke ine", + "Ġkein e", + "S ent", + "Se nt", + "Sen t", + "Ġ Calcul", + "ĠCal cul", + "ĠCalc ul", + "ĠE ve", + "ĠEv e", + "Ġsty lish", + "Ġstyl ish", + "Ġo ils", + "Ġoil s", + "Ġoi ls", + ". TestCase", + ".Test Case", + "Ġtrad emark", + "Ġtrade mark", + "Ġliter ary", + "Ġlite rary", + "Ġconcentr ations", + "Ġconcentration s", + "Ġ Relations", + "ĠRe lations", + "ĠRel ations", + "ĠRelation s", + "( Class", + "(C lass", + "(Cl ass", + "Ġ stdin", + "Ġst din", + "Ġstd in", + "Ġv æ", + "back up", + "bac kup", + ". VERSION", + ".V ERSION", + ".AutoScale Dimensions", + "st arter", + "start er", + "star ter", + "Transaction al", + "- panel", + "-p anel", + "-pane l", + "St udio", + "k c", + "ĠCh amber", + "ĠCham ber", + "ĠS piel", + "ĠSp iel", + "ĠSpi el", + "Ġ rho", + "Ġr ho", + "Ġrh o", + "ا ÙĦ", + "ا٠Ħ", + "! '", + ". Attributes", + ".At tributes", + ".Attribute s", + "Ġmurder ed", + "apeut ic", + "Ġint imate", + "Ġintim ate", + "Ġ textField", + "Ġt extField", + "Ġtext Field", + "ĠBuff alo", + "d ummy", + "dum my", + "\" %", + "ĠLib erty", + "ĠLibert y", + "ĠLiber ty", + "o bar", + "ob ar", + "oba r", + "Ġ Tank", + "ĠT ank", + "ĠTa nk", + "ĠTan k", + "Ġ Popular", + "ĠPop ular", + "er visor", + "erv isor", + "ĠIn iti", + "ĠInit i", + "ĠIni ti", + "ĠM all", + "ĠMal l", + "ĠMa ll", + "Ġ Prior", + "ĠP rior", + "ĠPr ior", + "ĠPri or", + "C AP", + "CA P", + "ĠC lay", + "ĠCl ay", + "ĠCla y", + "Ġ Certificate", + "ĠC ertificate", + "ĠCert ificate", + "ĠCertif icate", + ". Lock", + ".L ock", + ".Lo ck", + "- strip", + "-s trip", + "-st rip", + "-str ip", + "-dr iven", + "-drive n", + "/ all", + "/a ll", + "/al l", + "ĠMessageBox Buttons", + "ĠMessageBoxButton s", + "_ SECRET", + "_SE CRET", + "_SEC RET", + "_ pb", + "_p b", + "Ġ rats", + "Ġr ats", + "Ġrat s", + "Ġra ts", + "ा à¤", + "Ġ nt", + "Ġn t", + ". Router", + ".R outer", + ".Route r", + "_ topic", + "_t opic", + "_to pic", + "_top ic", + "Ġt ennis", + "Ġten nis", + "Ġ PUBLIC", + "ĠP UBLIC", + "ĠPUB LIC", + "ĠActiv atedRoute", + "Ġ ',Ċ", + "Ġ' ,Ċ", + "Ġ', Ċ", + "Ġcost ume", + "Ġj okes", + "Ġjo kes", + "Ġjoke s", + ". Handle", + ".H andle", + ".Hand le", + "ĉ byte", + "ĉb yte", + "Ġfl avors", + "Ġflavor s", + "Ġflav ors", + "( cc", + "(c c", + "Ġperson as", + "Ġpers onas", + "Ġpersona s", + "Ġperso nas", + "ĉ image", + "ĉi mage", + "ĉim age", + "ĠN azi", + "ĠNa zi", + "ĠNaz i", + "Ġ grammar", + "Ġgram mar", + "Ġgramm ar", + "Ġú lt", + "Ġval ve", + "Ġ vic", + "Ġv ic", + "Ġvi c", + "Ġ Rachel", + "ĠR achel", + "ĠRac hel", + "ĠRach el", + "_ invalid", + "_in valid", + "P refs", + "Pr efs", + "Pre fs", + "Pref s", + "std int", + "stdin t", + "( route", + "(r oute", + "(ro ute", + "Ġ htmlspecialchars", + "Ġhtml specialchars", + "Ġpe oples", + "Ġpeople s", + "p line", + "pl ine", + "Ġ nv", + "Ġn v", + "Ġ Quant", + "ĠQ uant", + "ĠQu ant", + "o ppers", + "op pers", + "opp ers", + "opper s", + "Ġ currentUser", + "Ġcurrent User", + "ĠC atal", + "ĠCa tal", + "ĠCat al", + "ĠCata l", + "Ġre conc", + "Ġrecon c", + "Ġreco nc", + "Ġcon junction", + "Ġconj unction", + "l x", + "am burg", + "amb urg", + "Ġinflu ential", + "d anger", + "da nger", + "dan ger", + "in ders", + "ind ers", + "inder s", + "inde rs", + "Ġ %@\",", + "Ġ% @\",", + "Ġ%@ \",", + ". configuration", + ".config uration", + "o some", + "os ome", + "oso me", + ". identity", + ".id entity", + ".ident ity", + ".ide ntity", + "Ġ picker", + "Ġp icker", + "Ġpick er", + "Ġpi cker", + "Ġpic ker", + "n ost", + "no st", + "nos t", + "ĠDI Y", + "Aug ust", + "a blo", + "ab lo", + "abl o", + "Le af", + "ĠR eco", + "ĠRe co", + "ĠRec o", + "c ko", + "ck o", + "D OC", + "DO C", + "ĠH erm", + "ĠHe rm", + "ĠHer m", + ": any", + ":a ny", + "Ġ Interview", + "ĠInt erview", + "ĠInter view", + "Ġ Tex", + "ĠT ex", + "ĠTe x", + "x fe", + "xf e", + "( work", + "(w ork", + "Ġle ap", + "He ading", + "Head ing", + "Ġ quarters", + "Ġqu arters", + "Ġquarter s", + "Ġquar ters", + "Ġquart ers", + "\\ Bundle", + "r eb", + "re b", + "Per haps", + "ĠG mbH", + "B irth", + "Bir th", + "ĉ sum", + "ĉs um", + "ĠWat son", + ". nil", + ".n il", + "ç ¡", + "{ }ĊĊ", + "{} ĊĊ", + "{}Ċ Ċ", + "ic aid", + "ica id", + "G etter", + "Get ter", + "\" name", + "Ġ \"čĊ", + "Ġ\" čĊ", + "_ none", + "_n one", + "_no ne", + "_non e", + "z m", + "ac ute", + "u esto", + "ue sto", + "ues to", + "uest o", + "Ġs ous", + "Ġso us", + "Ġsou s", + "Ġre build", + "Ġreb uild", + "Ġnews papers", + "Ġnewsp apers", + "Ġnewspaper s", + "Ġ Haz", + "ĠH az", + "ĠHa z", + "Ġ kits", + "Ġk its", + "Ġkit s", + "Ġki ts", + "i fo", + "if o", + "Bl ur", + "Ġsu ited", + "Ġsuit ed", + "Ġsuite d", + "Ġsui ted", + "- In", + "-I n", + "à ¯", + "Ġ Keith", + "ĠKe ith", + "ĠNor way", + "IN IT", + "INI T", + "ire ccion", + "i eties", + "ie ties", + "iet ies", + "_ usage", + "_u sage", + "_us age", + "Ġ Doug", + "ĠD oug", + "ĠDo ug", + "ĠDou g", + "r ise", + "ri se", + "ris e", + "Ġtr illion", + "im ited", + "imit ed", + "imi ted", + "Ġ REL", + "ĠR EL", + "ĠRE L", + "a lic", + "al ic", + "ali c", + "Ġcritic ized", + "Ġcriticize d", + "the orem", + "Ġc ease", + "Ġce ase", + "Ġside w", + "Ġsid ew", + "ĠT erry", + "ĠTer ry", + "ĠTerr y", + "Ġsubs idi", + "Ġsubsid i", + "Ġfirm ly", + "Ġ aws", + "Ġa ws", + "Ġaw s", + "Ġh ott", + "Ġhot t", + "Ġho tt", + "Ġd ressing", + "Ġdress ing", + "b adge", + "ba dge", + "bad ge", + "Ġ Applications", + "ĠApp lications", + "ĠApplication s", + "ĠAppl ications", + "è¿ ĶåĽŀ", + "è¿Ķ åĽŀ", + "Ġlaugh ed", + "Ġh obby", + "Ġhob by", + "Ġmus icians", + "Ġmusic ians", + "Ġmusician s", + "Ġ *.", + "Ġ* .", + ". placeholder", + ".place holder", + "Ġc ounters", + "Ġcount ers", + "Ġcoun ters", + "Ġcounter s", + "ĠCap itol", + "S DK", + "SD K", + "Ġh elmet", + "Ġhel met", + "Ġhelm et", + "and box", + "q uit", + "qu it", + "qui t", + "Ġcriminal s", + "Ġcrim inals", + "Ġteen ager", + "Ġteenage r", + "( update", + "(up date", + "G l", + ". selection", + ".s election", + ".se lection", + ".select ion", + ".sel ection", + "Ġdis charge", + "Ġpres enting", + "Ġpresent ing", + "ufact urer", + "_ UNKNOWN", + "_UN KNOWN", + "Ġst ressed", + "Ġstr essed", + "Ġstress ed", + "å Ļ¨", + "åĻ ¨", + "Pro to", + "Pr oto", + "Prot o", + "_ correct", + "_c orrect", + "_cor rect", + "_corr ect", + "h aus", + "ha us", + "Ġre nov", + "Ġren ov", + "Ġfire arms", + "Ġfirearm s", + "Ġtechn ically", + "Ġtechnical ly", + "- browser", + "-b rowser", + "Ġc andy", + "Ġcan dy", + "Ġcand y", + "St roke", + "Str oke", + "Ġ executor", + "Ġexec utor", + "Ġexecut or", + "Ġocc urrence", + "Ġoccur rence", + "Ġ IPv", + "ĠIP v", + "_ INTERFACE", + "_INTER FACE", + "Ġ Retrieve", + "ĠRe trieve", + "ĠRet rieve", + "ĠRetrie ve", + ". bad", + ".b ad", + ".ba d", + "Ex change", + "Nav bar", + "Ġ Kid", + "ĠK id", + "ĠKi d", + "(get ApplicationContext", + "_ STOP", + "_S TOP", + "_ST OP", + "Ġ Boss", + "ĠB oss", + "ĠBo ss", + "ĠBos s", + "List eners", + "Listener s", + "Listen ers", + "Ġsh ooter", + "Ġshoot er", + "Ġsho oter", + "ĠA lb", + "ĠAl b", + "ä ch", + "Ġ pix", + "Ġp ix", + "Ġpi x", + ". keyCode", + ".key Code", + "al one", + "alo ne", + "alon e", + "Ġabs urd", + "Ġ Cum", + "ĠC um", + "ĠCu m", + "ĠNewton soft", + "i kt", + "ik t", + "Ġlaugh ing", + "Ġcapital ism", + "ree Node", + "T x", + "_ QUERY", + "_QU ERY", + ". Sleep", + ".S leep", + "( login", + "(log in", + "(lo gin", + "Web Element", + "Ġcelebr ating", + "Ġ deprecated", + "Ġde precated", + "Ġdep recated", + "Ġm aar", + "Ġma ar", + "Ġart istic", + "Ġartist ic", + "_ASS OC", + "_AS SOC", + "ĠBorder Radius", + "ĉ wp", + "ĉw p", + "Ġsurv ivors", + "Ġsurviv ors", + "Ġsurvivor s", + "In ner", + "- red", + "-r ed", + "-re d", + "Ġprosec ution", + "_ pp", + "_p p", + "( \"$", + "\"=> $", + "Ġ comma", + "Ġcom ma", + "Ġco mma", + "Ġcomm a", + "un checked", + "g raphics", + "graph ics", + "graphic s", + "r ors", + "ro rs", + "ror s", + "G ROUND", + "GR OUND", + "( public", + "(p ublic", + "(pub lic", + "Ġcustom ized", + "Ġcustomize d", + "ĠArk ansas", + "Ġ Rew", + "ĠR ew", + "ĠRe w", + "Ġ expiration", + "Ġex piration", + "Ġexp iration", + "× ķ", + "ĠC ul", + "ĠCu l", + "Ġn ons", + "Ġno ns", + "Ġnon s", + ". Filter", + ".F ilter", + "Ġsen ator", + "_ definition", + "_def inition", + "ash ington", + "ashing ton", + "y mph", + "ym ph", + "/ J", + "Ġ fuse", + "Ġf use", + "Ġfu se", + "Ġfus e", + "ra mid", + "ram id", + "Ġ Supplier", + "ĠS upplier", + "ĠSup plier", + "Ġ autocomplete", + "Ġaut ocomplete", + "Ġauto complete", + "Ġ }),", + "Ġ} ),", + "Ġ}) ,", + ". \"ĊĊĊ", + ".\" ĊĊĊ", + ".\"ĊĊ Ċ", + ".\"Ċ ĊĊ", + "_ functions", + "_function s", + "_fun ctions", + "ĉ to", + "ĉt o", + ". eval", + ".e val", + ".ev al", + "ĠT Object", + "ĠTO bject", + "Re ferences", + "Reference s", + "Refer ences", + "Ġh eated", + "Ġhe ated", + "Ġheat ed", + "H AL", + "HA L", + "Ġ ))}Ċ", + "Ġ) )}Ċ", + "Ġ)) }Ċ", + "} $", + "ĠB arr", + "ĠBar r", + "ĠBa rr", + "_ UNIT", + "_UN IT", + "+ $", + "Ġ getValue", + "Ġget Value", + "i ped", + "ip ed", + "ipe d", + "ch ied", + "chie d", + "chi ed", + "( vm", + "(v m", + "c ue", + "cu e", + "_ integer", + "_int eger", + "_ course", + "_c ourse", + "_co urse", + "th ird", + "Ġre vised", + "Ġrev ised", + "Ġrevis ed", + "Ġrevise d", + "* */Ċ", + "** /Ċ", + "_ DIRECT", + "_D IRECT", + "_DIR ECT", + "_DI RECT", + "Out Of", + "( \"(", + "(\" (", + "Ġ Feel", + "ĠF eel", + "ĠFe el", + "ĠFee l", + "Ġre ass", + "Ġ subtitle", + "Ġsub title", + "Ġsubt itle", + "p eri", + "pe ri", + "per i", + "n f", + "Ġenjoy s", + "Ġenjo ys", + "Ġtreat s", + "Ġtre ats", + ") this", + ")t his", + "- tabs", + "-t abs", + "-tab s", + "an cers", + "ance rs", + "anc ers", + "ancer s", + "Ġ continent", + "Ġcont inent", + "Ġcontin ent", + "Ġcar dio", + "Ġcard io", + "Ġcardi o", + "S er", + "Se r", + ". question", + ".q uestion", + ".qu estion", + ".quest ion", + "Ġph rases", + "Ġphrase s", + "Valid ators", + "Validator s", + "Ġpop ul", + "Ġ lÃŃ", + "Ġl ÃŃ", + "s ong", + "so ng", + "son g", + "_ INTERNAL", + "_IN TERNAL", + "_INTER NAL", + "Ġadv iser", + "Ġadvis er", + "Ġadvise r", + "Ġp uzz", + "Ġpu zz", + "Ġamb itious", + "Ġambit ious", + "ĠT ob", + "ĠTo b", + "Ġ DP", + "ĠD P", + "Ġpres idency", + "Ġsur render", + "Ġsurre nder", + "Ġw atches", + "Ġwatch es", + "Ġwat ches", + "_ binary", + "_b inary", + "_bin ary", + "Ġ Soon", + "ĠS oon", + "ĠSo on", + "Ġcan ada", + "(\" \")Ċ", + "(\"\" )Ċ", + "(\"\") Ċ", + "] ='", + "]= '", + "Ġ Brandon", + "ĠBr andon", + "ĠBrand on", + "ĠBra ndon", + "ĠBran don", + "e psilon", + "eps ilon", + "r w", + ". addChild", + ".add Child", + ". Copy", + ".C opy", + ".Co py", + "Pr incipal", + "Ph otos", + "Photo s", + "Phot os", + "Ġmargin al", + "Ġmarg inal", + "Ġb asics", + "Ġbas ics", + "Ġbasic s", + "e ing", + "ei ng", + "ein g", + "M ust", + "Mu st", + "Mus t", + "_ String", + "_S tring", + "_Str ing", + "_St ring", + "Ġ ole", + "Ġo le", + "Ġol e", + "M agento", + "Mag ento", + ". customer", + ".c ustomer", + ".custom er", + "( prev", + "(p rev", + "(pr ev", + "(pre v", + "ภ¥", + "Ġlo yalty", + "Ġloyal ty", + "C og", + "Co g", + "Ġ protocols", + "Ġprot ocols", + "Ġprotocol s", + "Ġproto cols", + "Ġ Companies", + "ĠCom panies", + "Ġthe oretical", + "Ġtheoret ical", + "Ġtheor etical", + "Ġaccess ing", + "Ġacces sing", + "Ġ Zen", + "ĠZ en", + "ĠZe n", + ". ones", + ".on es", + ".o nes", + ".one s", + "att ice", + "atti ce", + "_ world", + "_w orld", + "z es", + "ze s", + "Ġtatto o", + "Ġtat too", + "Ġm enos", + "Ġme nos", + "Ġmen os", + "Ġmeno s", + "Ġ intersect", + "Ġinter sect", + "Ġinters ect", + "\" ];ĊĊ", + "\"] ;ĊĊ", + "\"];Ċ Ċ", + "\"]; ĊĊ", + "be lie", + "bel ie", + "Ġ inactive", + "Ġin active", + ".read line", + "-label led", + ". done", + ".d one", + ".do ne", + "lic kr", + "lick r", + "Ġ WORK", + "ĠW ORK", + "Ġder ivative", + "Ġderiv ative", + "Ġd atabases", + "Ġdata bases", + "Ġdatabase s", + "Ġdatab ases", + "âĤ Ĥ", + "Ġ sx", + "Ġs x", + ". isArray", + ".is Array", + "Ġ ys", + "Ġy s", + "Ġp ada", + "Ġpa da", + "Ġpad a", + "Ġ Bullet", + "ĠB ullet", + "ĠBul let", + "ĠBull et", + "(` /", + "is Active", + "Ġ CGSize", + "ĠCG Size", + "( equalTo", + "(equal To", + "ĠColum bus", + "Ġm arry", + "Ġmar ry", + "D EV", + "DE V", + "_ limits", + "_l imits", + "_limit s", + "_li mits", + "_lim its", + "r ones", + "ro nes", + "ron es", + "rone s", + "I AS", + "IA S", + "Ġ tau", + "Ġt au", + "Ġta u", + "m ino", + "min o", + "mi no", + "_ Write", + "_W rite", + "ĠW ine", + "ĠWin e", + "ĠWi ne", + "Ġ [['", + "Ġ[ ['", + "Ġ[[ '", + "Ġ Pull", + "ĠP ull", + "ĠPu ll", + "ĠPul l", + "ri ters", + "rit ers", + "rite rs", + "riter s", + "r ients", + "ri ents", + "rie nts", + "rient s", + "rien ts", + "Ġsh ifting", + "Ġshift ing", + "u pp", + "up p", + "_ TIMER", + "_T IMER", + "_TIME R", + "_TIM ER", + "_TI MER", + "Ġ Conditions", + "ĠCondition s", + "ĠCond itions", + "Ạ¥", + "Ġ Orders", + "ĠOr ders", + "ĠOrder s", + "ĠOrd ers", + "Ġ Strength", + "ĠSt rength", + "ĠStr ength", + "ĠStre ngth", + "æī Ģ", + "Ġval idity", + "Ġvalid ity", + "Ġf ot", + "Ġfo t", + "e tur", + "et ur", + "etu r", + "Ġ bolt", + "Ġb olt", + "Ġbo lt", + "Ġbol t", + "åĨ ħ", + "Ġ Along", + "ĠA long", + "ĠAl ong", + "ĠAlo ng", + "o shi", + "os hi", + "osh i", + "Ġassum ptions", + "Ġassumption s", + "Ġmag azines", + "Ġmagazine s", + "_ SPI", + "_S PI", + "_SP I", + "Ġp unt", + "Ġpun t", + "Ġpu nt", + "_ PRODUCT", + "_PRO DUCT", + "_PROD UCT", + "Ġ relay", + "Ġre lay", + "Ġr elay", + "Ġrel ay", + "Ġ Javascript", + "ĠJ avascript", + "ĠJava script", + ". te", + ".t e", + "- es", + "-e s", + "Ġ widgets", + "Ġwidget s", + "Ġwid gets", + "( fs", + "(f s", + "< Item", + " \";", + ">\" ;", + "at ching", + "atch ing", + "Ġ Knowledge", + "ĠK nowledge", + "ĠKnow ledge", + "ĉ The", + "ĉT he", + "; margin", + ";m argin", + "less ness", + "o pard", + "op ard", + "opa rd", + "u matic", + "um atic", + "uma tic", + "umat ic", + "( )));čĊ", + "() ));čĊ", + "()) );čĊ", + "())) ;čĊ", + "())); čĊ", + "Ġf als", + "Ġfa ls", + "Ġfal s", + "( cache", + "(c ache", + "(ca che", + "Type Id", + "éĢ ļ", + "_ choice", + "_ch oice", + "ĠG oth", + "ĠGo th", + "ĠGot h", + "Ġ Sites", + "ĠS ites", + "ĠSi tes", + "ĠSite s", + "ĠSit es", + "M G", + "_ border", + "_b order", + "Ind ices", + "Com parer", + "Comp arer", + "Compar er", + "Compare r", + "ĠRe distribution", + "ĠRed istribution", + "ĠRedis tribution", + "Ġclose t", + "Ġclos et", + "Ġclo set", + "Ġvers atile", + "Ġversa tile", + "In puts", + "Input s", + "**** ****************", + "******** ************", + "**************** ****", + "****** **************", + "************ ********", + "************** ******", + "Ġob esity", + "qu iz", + "qui z", + "g ra", + "gr a", + "( global", + "(g lobal", + "åĬ ¡", + "Ġ collector", + "Ġcol lector", + "Ġcoll ector", + "Ġcollect or", + "Ġcolle ctor", + "Ġ kor", + "Ġk or", + "Ġko r", + "o vable", + "ov able", + "ova ble", + "A DC", + "AD C", + "Ġ EventHandler", + "ĠEvent Handler", + ". nc", + ".n c", + "Ġplay back", + "ient os", + "ien tos", + "iento s", + "_ perm", + "_p erm", + "_per m", + "_pe rm", + "_ WARNING", + "_W ARNING", + "_WARN ING", + "ĠOlymp ics", + "ĠOlympic s", + ". norm", + ".n orm", + ".no rm", + "Ġ Broadcast", + "ĠB roadcast", + "ĠBroad cast", + "_ small", + "_s mall", + "_sm all", + "d rive", + "dr ive", + ". iloc", + ".i loc", + ".il oc", + "Ġ typed", + "Ġt yped", + "Ġtype d", + "Ġtyp ed", + "Ġty ped", + "M EM", + "ME M", + "_ cons", + "_c ons", + "_con s", + "_co ns", + "D METHOD", + "DM ETHOD", + "Ġ lun", + "Ġl un", + "Ġlu n", + ". distance", + ".d istance", + ".di stance", + ".dist ance", + "( par", + "(p ar", + "(pa r", + "p oon", + "po on", + "Ġ bast", + "Ġb ast", + "Ġbas t", + "Ġba st", + "act ivities", + "activ ities", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + ": čĊčĊ", + ":čĊ čĊ", + "S ER", + "SE R", + ") &&", + ")& &", + "_ lst", + "_l st", + "_ls t", + "ĠPol ish", + "ĠPo lish", + "Ġkn ocked", + "Ġknock ed", + "Ġfrustr ation", + "au kee", + "Ġph osph", + "iqu id", + "iq uid", + "_ coeff", + "_c oeff", + "_co eff", + "_coef f", + "æŃ ¤", + "L atest", + "La test", + "Lat est", + "Late st", + "ĠD ust", + "ĠDu st", + "T ipo", + "Tip o", + "Ti po", + "Ġmain tains", + "Ġmaint ains", + "Ġmaintain s", + "Ġ marsh", + "Ġmar sh", + "Ġmars h", + "inc inn", + "inci nn", + "l bl", + "lb l", + "C are", + "Car e", + "Ca re", + "Ġneighborhood s", + "_ gpio", + "_g pio", + "_gp io", + "ĠAr senal", + "ĠArs enal", + "D em", + "De m", + "ĠW he", + "ĠWh e", + "_ hook", + "_h ook", + "Ġl dc", + "Ġld c", + "ĠHar per", + "ĠBer keley", + "Ġgrad uated", + "Ġgraduate d", + "Ġgradu ated", + "Per cent", + "Ġarr iving", + "Ġarriv ing", + "Ġ Adventure", + "ĠAd venture", + "ĠAdvent ure", + "( scope", + "(s cope", + "(sc ope", + "( '*", + "(' *", + "qu arter", + "ĠM arie", + "ĠMar ie", + "ĠMa rie", + "ĠMari e", + "Spe aking", + "Speak ing", + "_ codegen", + "_code gen", + "_cod egen", + "Ġim mun", + "Ġimm un", + "c aster", + "ca ster", + "cast er", + "cas ter", + "ãĤ Į", + "åķ Ĩ", + "Ġ Dimensions", + "ĠDim ensions", + "ĠDimension s", + ". record", + ".re cord", + ".rec ord", + "Ġ texto", + "Ġtext o", + "Ġtex to", + "Ġ Michelle", + "ĠMich elle", + "ĠMichel le", + "ĠMiche lle", + "P ending", + "Pen ding", + "( by", + "(b y", + "_ PAR", + "_P AR", + "_PA R", + "u cht", + "uch t", + "uc ht", + "b ee", + "be e", + ". Thread", + ".T hread", + ".Th read", + "am pire", + "amp ire", + "k now", + "kn ow", + "Ġ Clinical", + "ĠClin ical", + "ĠClinic al", + "Ġmargin Bottom", + "Ġd istinguish", + "Ġdistingu ish", + ". Full", + ".F ull", + ". undefined", + ".un defined", + "ĠSequ elize", + "#### ########################################################################", + "################ ############################################################", + "################################################################ ############", + "############ ################################################################", + "################################################ ############################", + "######################################################################## ####", + "############################ ################################################", + "############################################################ ################", + "Ġ educated", + "Ġeduc ated", + "Ġeducate d", + "_ OVER", + "_O VER", + "åº ı", + "Ġ ÂłĠÂł", + "ĠÂł ĠÂł", + "ĠÂłĠ Âł", + "_ each", + "_e ach", + "Ġ urge", + "Ġur ge", + "Ġurg e", + "de part", + "dep art", + "Ġdon ors", + "Ġdonor s", + "Ġ Au", + "ĠA u", + "Ġb illions", + "Ġbill ions", + "Ġbillion s", + "Ġbelong ing", + "_ age", + "_a ge", + "_ag e", + "_ Int", + "_I nt", + "_In t", + "Ġsub stances", + "Ġsubstance s", + "Ġsubst ances", + "m achine", + "ma chine", + "mach ine", + "! !!ĊĊ", + "!! !ĊĊ", + "!!! ĊĊ", + "!!!Ċ Ċ", + "Ġjson ify", + "ib bean", + "Ġ Cad", + "ĠC ad", + "ĠCa d", + "Ġ endTime", + "Ġend Time", + "Ġc ycling", + "Ġcy cling", + "Ġcycl ing", + "Ġcyc ling", + "Ġ UITextField", + "ĠUI TextField", + "ĠUIT extField", + "Ġle verage", + "Ġlever age", + "Ġleve rage", + "Ġvan illa", + "e at", + "ea t", + "L aunch", + "La unch", + "( pt", + "(p t", + "st ates", + "state s", + "stat es", + "sta tes", + "Ġ Controls", + "ĠControl s", + "ĠContr ols", + "Ġ Respons", + "ĠRes pons", + "ĠResp ons", + "Ġ Jake", + "ĠJ ake", + "ĠJa ke", + "ĠJak e", + "Ġa sleep", + "Ġas leep", + "fort unate", + ".next Line", + "Size Mode", + "ì Ŀ¼", + "ìĿ ¼", + "Testing Module", + "G erman", + "Ger man", + "ĠInvest ig", + ". reverse", + ".re verse", + ".rev erse", + "Ġ BACK", + "ĠB ACK", + "ĠBA CK", + "( DateTime", + "(Date Time", + "Ġnon profit", + "Ġ Expect", + "ĠEx pect", + "ĠExp ect", + "Ġt anto", + "Ġtan to", + "Ġtant o", + "' ]),", + "'] ),", + "']) ,", + "ĉ the", + "ĉt he", + "ĉth e", + "M ultiple", + "Multi ple", + "Mult iple", + "Multip le", + "(get Activity", + "_ WAIT", + "_W AIT", + "Ġj á", + "de cor", + "dec or", + "lev ance", + "Ġ GitHub", + "ĠGit Hub", + "m ination", + "min ation", + "mi nation", + "mina tion", + "_ quantity", + "_qu antity", + "_quant ity", + ". Scanner", + ".Sc anner", + ".Scan ner", + "ĠL ion", + "ĠLi on", + "éĶĻ 误", + "Ġ dre", + "Ġd re", + "Ġdr e", + "Ġtan tra", + "Ġtant ra", + "Ġtantr a", + "Ġ contentType", + "Ġcontent Type", + "Ġ fid", + "Ġf id", + "Ġfi d", + "_ alt", + "_a lt", + "_al t", + "NS IndexPath", + "- pl", + "-p l", + "åĮ ĸ", + "Ġantib iot", + "t ables", + "table s", + "ta bles", + "tab les", + "tabl es", + "a cial", + "ac ial", + "aci al", + "acia l", + "Ġ Registry", + "ĠReg istry", + "ĠRegistr y", + "Ġo live", + "Ġol ive", + "Ġoli ve", + "i gers", + "ig ers", + "ige rs", + "iger s", + "Ġ subscriber", + "Ġsub scriber", + "Ġsubscri ber", + "Ġsubscribe r", + "_ pres", + "_p res", + "_pr es", + "_pre s", + "Ġ Syntax", + "ĠS yntax", + "ĠSy ntax", + "ĠSyn tax", + "Ġl overs", + "Ġlo vers", + "Ġlove rs", + "Ġlover s", + "Ġlov ers", + ". Byte", + ".B yte", + ".By te", + "ol ders", + "old ers", + "older s", + "_ forward", + "_for ward", + "al ways", + "C aption", + "Cap tion", + "Ca ption", + "Capt ion", + "P riv", + "Pr iv", + "Pri v", + "ĠT ampa", + "ĠTam pa", + "is ateur", + "-labelled by", + "Ġ ToString", + "ĠTo String", + "Ġ ìĤ¬", + "Ġì Ĥ¬", + "ĠìĤ ¬", + "Ġinit iated", + "Ġiniti ated", + "Ġinitiate d", + "W F", + "Ġinstitution al", + "in ject", + "Ġ Scr", + "ĠS cr", + "ĠSc r", + "Ġ doctrine", + "Ġdo ctrine", + "Ġdoctr ine", + "Ġsp acious", + "Ġspac ious", + "i sure", + "is ure", + "isu re", + "Ġ Ana", + "ĠA na", + "ĠAn a", + "\" time", + "ess aging", + "essa ging", + "Ġ cid", + "Ġc id", + "Ġci d", + "ĠN an", + "ĠNa n", + "Ġin complete", + "Ġincom plete", + "T AG", + "TA G", + "- build", + "-b uild", + "Dec ember", + "Ġres idual", + "Ġresid ual", + "( PDO", + "(P DO", + "Ġ Listen", + "ĠL isten", + "ĠList en", + "ĠLi sten", + "ĠLis ten", + "ĠListe n", + "Ġ glyph", + "Ġg lyph", + "Ġgly ph", + "Ġg aps", + "Ġgap s", + "Ġga ps", + "n ea", + "ne a", + ". Rect", + ".R ect", + ".Re ct", + ".Rec t", + "Ġs au", + "Ġsa u", + "ĠPhoto graph", + "ĠPhot ograph", + "Ġ executable", + "Ġexec utable", + "Ġexecut able", + "Ġ Expert", + "ĠEx pert", + "ĠExp ert", + "Co routine", + "Cor outine", + "_ sizes", + "_s izes", + "_size s", + "_si zes", + "Ġ NL", + "ĠN L", + ". isValid", + ".is Valid", + ") ;}Ċ", + "); }Ċ", + ");} Ċ", + "- reg", + "-r eg", + "-re g", + "Ġc iting", + "Ġcit ing", + "Ġci ting", + "c wd", + "cw d", + "ĠOtt awa", + "ĠB att", + "ĠBa tt", + "ĠBat t", + "Ġrenew able", + "Ġprelim inary", + "Ġas ylum", + "Ġw rist", + "Ġwr ist", + "Ġutil iz", + "Ġut iliz", + "Ġdet ention", + "F ast", + "Fa st", + "Ġ ange", + "Ġa nge", + "Ġan ge", + "Ġang e", + "incinn ati", + "Ġste ering", + "Ġsteer ing", + "Ġ NaN", + "ĠN aN", + "ĠNa N", + "i osity", + "ios ity", + "/ page", + "/p age", + "Ġ è¿", + "Ġè ¿", + "ster ol", + "ste rol", + "Ġdis g", + "Ġdi sg", + "( DB", + "(D B", + "Ġ DESCRIPTION", + "ĠDE SCRIPTION", + "ĠDESC RIPTION", + "Ġ _$", + "Ġ_ $", + "Ġob stacle", + "Ġobst acle", + "Ġb izarre", + "Ġex traction", + "Ġext raction", + "Ġextra ction", + "Ġextract ion", + "Ġextr action", + "_ expected", + "_ex pected", + "_exp ected", + "_expect ed", + "Ġ loses", + "Ġl oses", + "Ġlo ses", + "Ġlos es", + "Ġlose s", + "Ġ Celebr", + "ĠCele br", + "Ġhtml For", + "Ġexp loit", + "Ġexpl oit", + "Ġexplo it", + "олÑĮз ов", + "X YZ", + "XY Z", + "Ġm agnet", + "Ġmag net", + "Ġmagn et", + "am ped", + "amp ed", + "Ġ atoms", + "Ġat oms", + "Ġatom s", + "S ources", + "Source s", + "pect ives", + "pective s", + "Ñģ ли", + "Ñģл и", + "Ġ= čĊ", + "Ġd are", + "Ġda re", + "Ġdar e", + "ĠW alter", + "ĠWal ter", + "ĠWalt er", + "Ġ brightness", + "Ġb rightness", + "Ġbright ness", + "Ġ annotations", + "Ġan notations", + "Ġannotation s", + "Ġannot ations", + "ë ı", + "is ke", + "isk e", + "S chedule", + ". images", + ".image s", + ".im ages", + ".imag es", + "ross o", + "ros so", + "Ġ \"..", + "Ġ\" ..", + "Ġ\". .", + "g amma", + "ga mma", + "gam ma", + "Ġin structor", + "Ġinstr uctor", + "Ġinstruct or", + "Ġ overwrite", + "Ġover write", + "- am", + "-a m", + "Ġdevast ating", + "ĠSaint s", + "ĠSa ints", + "ĠSai nts", + "Ġ hs", + "Ġh s", + "Ġbon uses", + "Ġbonus es", + "$ output", + "$out put", + "i jd", + "ij d", + "(Action Event", + "m onitor", + "mon itor", + "Ġmatt ress", + "Jan uary", + ". jp", + ".j p", + "Ġcar acter", + "Ġcara cter", + "Ġcaract er", + "Ġim pose", + "Ġimp ose", + "_ rest", + "_re st", + "_r est", + "_res t", + "Ġ Signature", + "ĠSign ature", + "ĠSig nature", + "Ġcoron avirus", + "ãģ Ĭ", + "_ compare", + "_com pare", + "_comp are", + "Me asure", + "it ated", + "ita ted", + "itate d", + "itat ed", + "e lijk", + "el ijk", + "eli jk", + "i gos", + "ig os", + "igo s", + "e sar", + "es ar", + "esa r", + "Ġr ushed", + "Ġru shed", + "Ġrush ed", + "Ġrus hed", + "m etry", + "me try", + "met ry", + "_SE PARATOR", + "_ WE", + "_W E", + "_ ATTRIBUTE", + "_ATTR IBUTE", + "_ATTRIB UTE", + "Ġ yaml", + "Ġy aml", + "Ġya ml", + "Ġ specs", + "Ġsp ecs", + "Ġspec s", + "Ġspe cs", + "ĠR ah", + "ĠRa h", + "ph eric", + "pher ic", + "phe ric", + "ĠIn vestment", + "ĠInvest ment", + "ä ll", + "äl l", + "Ġappe aling", + "Ġappeal ing", + "Ġ viewport", + "Ġview port", + "ç ©", + "Ġ marginLeft", + "Ġmargin Left", + "Ġ subtract", + "Ġsub tract", + "Ġsubt ract", + "Ġ EDIT", + "ĠED IT", + "ĉ ArrayList", + "ĉArray List", + "gr ading", + "grad ing", + "gra ding", + "Ġ Failure", + "ĠF ailure", + "ĠFail ure", + "as per", + "asp er", + "E EK", + "EE K", + "( now", + "(n ow", + "(no w", + "< object", + "Ġ Alignment", + "ĠAl ignment", + "ĠAlign ment", + "ple ado", + "q tt", + "qt t", + "( ERROR", + "(ERR OR", + "Ġ INVALID", + "ĠIN VALID", + "Ġ userid", + "Ġuse rid", + "Ġuser id", + "r aises", + "ra ises", + "raise s", + "rais es", + "rai ses", + "I DI", + "ID I", + "Ġv ariance", + "Ġvar iance", + "Ġvari ance", + "Ġ Nil", + "ĠN il", + "ĠNi l", + "/ delete", + "/de lete", + "_ MAIN", + "_M AIN", + "_MA IN", + ". Token", + ".T oken", + ".To ken", + ". Category", + ".C ategory", + "> )Ċ", + ">) Ċ", + "C ollision", + "Coll ision", + "Ġ Greater", + "ĠG reater", + "ĠGreat er", + "ĠGre ater", + "ĠR acing", + "ĠRa cing", + "ĠRac ing", + "a lan", + "al an", + "ala n", + "Ġmon etary", + "Ġmonet ary", + ", new", + ",n ew", + "Ġ Sorry", + "ĠS orry", + "ĠSor ry", + ". Enable", + ".E nable", + ".En able", + "Ġ Instantiate", + "ĠIn stantiate", + "ĠInstant iate", + "o llen", + "ol len", + "oll en", + "olle n", + "ë© ´", + "Ġ Calling", + "ĠC alling", + "ĠCal ling", + "ĠCall ing", + "_ hour", + "_h our", + "A DA", + "AD A", + "Ġs hy", + "Ġsh y", + ") **", + ")* *", + "Ġ ==>", + "Ġ= =>", + "Ġ== >", + "Ġe special", + "Ġes pecial", + "Ġesp ecial", + "Ġespec ial", + "Ġ interpreted", + "Ġinterpret ed", + "Ġinterpre ted", + "! =\"", + "!= \"", + "Ġph armacy", + "Ġpharm acy", + "Ġpharmac y", + ". single", + ".s ingle", + ".sin gle", + ".si ngle", + "ĠC ialis", + "ĠCi alis", + "Ġp aras", + "Ġpar as", + "Ġpara s", + "Ġpa ras", + ". toUpperCase", + ".to UpperCase", + "Ġ Demon", + "ĠD emon", + "ĠDe mon", + "ĠDem on", + "ĠDemo n", + "Pr ime", + "Prim e", + "Pri me", + "Ġrank ings", + "Ġranking s", + "Add ing", + "Ad ding", + "_ HASH", + "_H ASH", + "_HAS H", + "Ġ Exam", + "ĠEx am", + "Ú ©", + "ĠV ictor", + "ĠVi ctor", + "ĠVict or", + "ĠVic tor", + "Ok ay", + "\" ];čĊ", + "\"] ;čĊ", + "\"]; čĊ", + "Ġ fortune", + "Ġfort une", + "Ġ FETCH", + "ĠF ETCH", + "exp and", + ". Interop", + ".Inter op", + "Ġb arn", + "Ġbar n", + "Ġba rn", + "æ ¶Ī", + "æ¶ Ī", + "ue vo", + "Ġspec ulation", + "âĶĢâĶĢ âĶĢâĶĢ", + "Ġ Nu", + "ĠN u", + "ĠBl ues", + "ĠBlue s", + "ĠBlu es", + "( fname", + "(f name", + "(fn ame", + "Ġin habit", + "Ġinhab it", + "Ġinh abit", + "Ġ\\ \"%", + "Ġ\\\" %", + "C ES", + "CE S", + "ul ario", + "ular io", + "ula rio", + "_ cr", + "_c r", + "Ġ validated", + "Ġvalid ated", + "Ġvalidate d", + "Ġvalida ted", + "Ġmid night", + "an king", + "ank ing", + "anki ng", + "Ġincor porate", + "Ġincorpor ate", + "Ġpur suit", + "Ġpurs uit", + "E XP", + "EX P", + "pr ime", + "prim e", + "pri me", + "P id", + "Pi d", + "- US", + "-U S", + "ĠN urs", + "ĠNu rs", + "ĠNur s", + "Ġ Wheel", + "ĠW heel", + "ĠWh eel", + "ĠWhe el", + "é ĺ", + "Ġ inp", + "Ġin p", + "Ġi np", + "Ġsupport ive", + ". member", + ".m ember", + ".mem ber", + "Ġ Shot", + "ĠS hot", + "ĠSh ot", + "ĠSho t", + ". CheckBox", + ".Check Box", + "Ġaff irm", + "Ġaf firm", + "T or", + "To r", + "Full Year", + "Ġconsider ably", + "c redentials", + "cred entials", + "credential s", + "_ opts", + "_op ts", + "_o pts", + "_opt s", + "R oll", + "Ro ll", + "Rol l", + "( round", + "(r ound", + "(ro und", + "Ġc oment", + "Ġcom ent", + "Ġco ment", + "Ġcome nt", + "_ UART", + "_U ART", + "Ġext ending", + "Ġextend ing", + "R G", + "result ado", + "i tu", + "it u", + ". getSession", + ".get Session", + ".getS ession", + "Ġat traction", + "Ġatt raction", + "Ġattr action", + "Ġattract ion", + "& D", + "$ html", + "$h tml", + "Ġ Jessica", + "ĠJess ica", + "Ġ Associate", + "ĠAssoci ate", + "ĠAssoc iate", + "a ñ", + "_ ed", + "_e d", + "ĠL ag", + "ĠLa g", + "Ġorig ins", + "Ġorigin s", + "( ))->", + "() )->", + "()) ->", + "add EventListener", + "IA LOG", + "IAL OG", + "åIJ ¦", + ". Compare", + ".Com pare", + ".Comp are", + "Al bum", + "ĠK u", + "< Q", + "ar gest", + "arg est", + "arge st", + "arges t", + "Ġpro long", + "Ġprol ong", + "Ġconfig urations", + "Ġconfiguration s", + "Ġconfigur ations", + "Ġacc identally", + "Ġaccident ally", + "Ġaccidental ly", + "_ photo", + "_ph oto", + "Ġ' ';čĊ", + "Ġ'' ;čĊ", + "Ġ''; čĊ", + "Ġ verse", + "Ġv erse", + "Ġver se", + "Ġvers e", + "B ob", + "Bo b", + "Ġf arming", + "Ġfar ming", + "Ġfarm ing", + "d elivery", + "del ivery", + "deliver y", + "ĠM ack", + "ĠMac k", + "ĠMa ck", + "Ġuse Selector", + ".bootstrap cdn", + "ke eping", + "keep ing", + "kee ping", + "e ny", + "en y", + ". upload", + ".up load", + "Ġ METHOD", + "ĠM ETHOD", + "ĠMETH OD", + "c reator", + "cre ator", + "creat or", + "< _", + "ĠE aster", + "ĠEast er", + "ĠEa ster", + ". --", + ".- -", + "UI Button", + "ãĤ ī", + "om eters", + "ome ters", + "omet ers", + "ometer s", + "Ġ shine", + "Ġsh ine", + "Ġshin e", + "Ġh ogy", + "Ġho gy", + "Ġhog y", + "\\ s", + "Ġh arness", + "Ġhar ness", + ". Cell", + ".C ell", + "Ġ lifting", + "Ġl ifting", + "Ġlif ting", + "Ġlift ing", + "Ġcomb ines", + "Ġcombine s", + "Ġcombin es", + "Ġ Occup", + "ĠOcc up", + "ĠOc cup", + "ex clude", + "exc lude", + "p atial", + "pat ial", + "Ġre spir", + "Ġres pir", + "Ġresp ir", + "_ fit", + "_f it", + "Ġf ifty", + "Ġfi fty", + "Ġfif ty", + "ĠM ol", + "ĠMo l", + "Ġt uned", + "Ġtu ned", + "Ġtun ed", + "Ġtune d", + "-d imensional", + "Ġ qs", + "Ġq s", + "Ġt ops", + "Ġto ps", + "Ġtop s", + "> \";ĊĊ", + ">\";Ċ Ċ", + ">\" ;ĊĊ", + ">\"; ĊĊ", + "quis ite", + "qui site", + "ch annels", + "chan nels", + "channel s", + "/ res", + "/r es", + "/re s", + "Ġ Analytics", + "ĠAn alytics", + "ĠAnaly tics", + ".app compat", + "/ to", + "/t o", + "Ġon Error", + "( attr", + "(at tr", + "(att r", + "I RM", + "IR M", + "Ġrag az", + "- as", + "-a s", + ". Second", + ".Se cond", + "ori ented", + "orient ed", + "Ġd onn", + "Ġdo nn", + "Ġdon n", + "Ġlight ning", + "f id", + "fi d", + "ĠP le", + "ĠPl e", + "ãģ¾ ãģĻ", + "t ro", + "tr o", + ". True", + ".Tr ue", + "O bservable", + "Observ able", + "× Ļ", + "um bing", + "umb ing", + "Ġpros pective", + "Ġprospect ive", + "- filter", + "-f ilter", + "Ġpurs uant", + "( points", + "(p oints", + "(point s", + "(po ints", + ". Bind", + ".B ind", + "Ġp alm", + "Ġpa lm", + "Ġpal m", + "clear fix", + "ö s", + "ĠG onz", + "ĠGo nz", + "ĠGon z", + "Ġwe aken", + "Ġweak en", + "D rive", + "Dr ive", + "en ido", + "eni do", + "l ld", + "ll d", + "o box", + "ob ox", + "obo x", + "an ean", + "ane an", + "G ot", + "Go t", + "ä¿ Ŀ", + "Reg ex", + "æ ĥ", + "Ġsa lad", + "Ġsal ad", + "Ġsala d", + "as sis", + "ass is", + "assi s", + "\" net", + "inherit Doc", + "Ġ RV", + "ĠR V", + "qu ier", + "qui er", + "Ġ clazz", + "Ġcl azz", + "Ġcla zz", + "ı ÅŁ", + "oster one", + "oste rone", + "Ġair line", + "Ġairl ine", + ".list dir", + "Ġdown loading", + "Ġdownload ing", + "ĠP alm", + "ĠPal m", + "ĠPa lm", + "w aukee", + "& lt", + ". BL", + ".B L", + "_ INLINE", + "_IN LINE", + "of fs", + "off s", + "< <(", + "<< (", + "_ news", + "_n ews", + "_new s", + "_ne ws", + "Ġch ase", + "Ġcha se", + "/ ><", + "/> <", + "Ġe uros", + "Ġeu ros", + "Ġeuro s", + "ĠEgypt ian", + "ĠSt ainless", + "_ BOOL", + "_BO OL", + "Ġ Guild", + "ĠG uild", + "ĠGu ild", + "ĠGui ld", + "ĠGuil d", + "ĠD ynam", + "ĠDy nam", + "ĠDyn am", + "[ indexPath", + "[index Path", + "Ġ ï", + "Ġmem orable", + "Ġmemor able", + "ĠCh ampion", + "ĠChamp ion", + "Resource Manager", + ". Login", + ".Log in", + ".Lo gin", + "Ġ Former", + "ĠFor mer", + "ĠForm er", + "y ped", + "ype d", + "yp ed", + "Ġl leg", + "Ġll eg", + "Ġlle g", + "; \",", + ";\" ,", + "D WORD", + "DW ORD", + "Ġtax i", + "Ġta xi", + "Ġb ombs", + "Ġbomb s", + "Ġbom bs", + "r ah", + "ra h", + ". tags", + ".t ags", + ".tag s", + ".ta gs", + "_ tests", + "_t ests", + "_test s", + "_te sts", + "s tones", + "st ones", + "ston es", + "stone s", + "sto nes", + "âĢĿ )", + "[ g", + "r type", + "rt ype", + "Ġ vu", + "Ġv u", + "Ġhost ile", + "Ġho stile", + "Ġhos tile", + "Ch ars", + "Char s", + "Cha rs", + "ĠPatri ots", + "ĠPatriot s", + "/ status", + "/s tatus", + "/st atus", + "/stat us", + "< B", + "Ġ Income", + "ĠIn come", + "ĠInc ome", + "ĠD ad", + "ĠDa d", + "Ġpat rol", + "_ CHANGE", + "_CH ANGE", + "_CHAN GE", + "Ġup graded", + "Ġupgrade d", + "Ġ china", + "Ġch ina", + "Ġchi na", + "Ġchin a", + "set q", + "Start ed", + "Star ted", + ".U ndef", + ".Un def", + "Ġ checksum", + "Ġcheck sum", + "Ġchecks um", + "Ġfrustr ated", + "{ o", + "Ġe nf", + "Ġen f", + "Ġ woods", + "Ġw oods", + "Ġwood s", + "Ġwo ods", + "Ġwoo ds", + "Ġ Anyone", + "ĠAny one", + "En code", + "Enc ode", + "ĠQt Widgets", + "a reas", + "are as", + "area s", + "Ġsh eer", + "Ġshe er", + "s ki", + "sk i", + "end point", + "_ Test", + "_T est", + "S oup", + "So up", + "Sou p", + "~~~~~~~~ ~~~~~~~~", + "( files", + "(f iles", + "(file s", + "(fi les", + "(fil es", + "ĉ ĉĉĉĉčĊ", + "ĉĉ ĉĉĉčĊ", + "ĉĉĉĉ ĉčĊ", + "ĉĉĉ ĉĉčĊ", + "ĉĉĉĉĉ čĊ", + ". spark", + ".s park", + ".sp ark", + "Ġvalue d", + "Ġval ued", + "Ġvalu ed", + "Ġ %Ċ", + "Ġ% Ċ", + ". controls", + ".control s", + "ĠXCTAssert Equal", + "Ġf ame", + "Ġfam e", + "Ġfa me", + "ĠR ic", + "ĠRi c", + "D OT", + "DO T", + "ĠAlbert a", + "ĠAlb erta", + "ä½ ¿", + "o sal", + "os al", + "osa l", + ".Web Controls", + "Ġ ------------", + "Ġ- -----------", + "Ġ-- ----------", + "Ġ---- --------", + "Ġ--- ---------", + "Ġ----- -------", + "Ġ---------- --", + "Ġ------ ------", + "Ġ-------- ----", + "Ġ------- -----", + "Ġ--------- ---", + "Ġ----------- -", + "Ġ Mis", + "ĠM is", + "ĠMi s", + "Ġ SYS", + "ĠS YS", + "ĠSY S", + "Non null", + "= item", + "=i tem", + "Ġ expire", + "Ġex pire", + "Ġexp ire", + "De code", + "Dec ode", + "_ operation", + "_op eration", + "_o peration", + "_oper ation", + "Ġ Validator", + "ĠValid ator", + ". CENTER", + ".C ENTER", + "uff s", + "uf fs", + "* m", + "Ġa vant", + "Ġav ant", + "Ġava nt", + "Ġavan t", + "æ¬ ¡", + "âĢľ You", + ". permission", + ".per mission", + ".perm ission", + ".. .)", + "... )", + "Ġ Lic", + "ĠL ic", + "ĠLi c", + "_ coords", + "_co ords", + "_coord s", + ". nombre", + ".n ombre", + ".nom bre", + "c lo", + "cl o", + ". Internal", + ".In ternal", + ".Int ernal", + ".Inter nal", + "Ġ Cho", + "ĠC ho", + "ĠCh o", + "_ sw", + "_s w", + "ĉ Il", + "ĉI l", + "c lk", + "cl k", + "Ġ castle", + "Ġc astle", + "Ġcas tle", + "Ġcast le", + "( layer", + "(l ayer", + "p it", + "pi t", + "Ġ guided", + "Ġgu ided", + "Ġguide d", + "Ġguid ed", + "Ġgui ded", + "Ġ âĸĪ", + "Ġâĸ Ī", + "Ġsup erb", + "Ġsuper b", + "Ġsup plements", + "Ġsupplement s", + "Ġsuppl ements", + "Ġsupp lements", + "_ cent", + "_c ent", + "_ce nt", + "Ġ peek", + "Ġpe ek", + "Ġpee k", + "IN ARY", + "INA RY", + ". ContentAlignment", + ".Content Alignment", + "f alls", + "fall s", + "fal ls", + "\" ));", + "\") );", + "\")) ;", + "W all", + "Wal l", + "Wa ll", + ") .čĊ", + "). čĊ", + "Ġ Danny", + "ĠD anny", + "ĠDan ny", + "ĠDann y", + "irm ingham", + "IAL IZ", + "( create", + "(c reate", + "\" In", + "\"I n", + "Service Provider", + "Ġpr iced", + "Ġprice d", + "Ġpri ced", + "m acro", + "ma cro", + "mac ro", + "a mac", + "am ac", + "ama c", + ". box", + ".b ox", + ".bo x", + "- ---Ċ", + "-- --Ċ", + "---- Ċ", + "--- -Ċ", + "ãĥ «", + "Ġ Suit", + "ĠS uit", + "ĠSu it", + "u rst", + "ur st", + "urs t", + "b ru", + "br u", + "ourn als", + "ournal s", + "num ero", + "numer o", + "_ _()Ċ", + "__ ()Ċ", + "__( )Ċ", + "__() Ċ", + "D as", + "Da s", + "ĠM itt", + "ĠMi tt", + "ĠMit t", + "u der", + "ud er", + "ude r", + "? \\", + "f u", + "[ B", + "Ġ: )ĊĊ", + "Ġ:) ĊĊ", + "Ġ:)Ċ Ċ", + "( inter", + "(int er", + "(in ter", + "br ains", + "bra ins", + "brain s", + "Ġatt itudes", + "Ġattitude s", + "Ver ify", + "Ġsign atures", + "Ġsignature s", + "ack Bar", + "Ġ gd", + "Ġg d", + "J ack", + "Ja ck", + "Jac k", + ". cat", + ".c at", + ".ca t", + "Ġ zz", + "Ġz z", + "w arf", + "wa rf", + "war f", + "F TER", + "FT ER", + "\" );ĊĊĊ", + "\");Ċ ĊĊ", + "\") ;ĊĊĊ", + "\");ĊĊ Ċ", + "\"); ĊĊĊ", + "A live", + "Al ive", + "Ali ve", + "I CLE", + "IC LE", + "Ġ Whatever", + "ĠWh atever", + "ĠWhat ever", + "Ġ outlined", + "Ġout lined", + "Ġoutline d", + "s prite", + "sp rite", + "spr ite", + "е в", + "еР²", + "_ AB", + "_A B", + "_ DEPTH", + "_DE PTH", + "Ġcr ushed", + "Ġcrush ed", + "Ġcru shed", + "Ġcrus hed", + "a aa", + "aa a", + "( ev", + "(e v", + "æľ º", + "An ti", + "Ant i", + "I CO", + "IC O", + "is EqualTo", + "isEqual To", + ". sun", + ".s un", + "i culo", + "ic ulo", + "s ale", + "sa le", + "sal e", + "_ hex", + "_h ex", + "_he x", + "Ġ Vk", + "ĠV k", + "ap tor", + "apt or", + "Un ion", + "Uni on", + "Ġ Discount", + "ĠDis count", + "ĠDisc ount", + "ĠDisco unt", + "l ista", + "li sta", + "list a", + "lis ta", + ".Undef Or", + "Ġ automation", + "Ġa utomation", + "Ġautom ation", + "Ġautomat ion", + "N or", + "No r", + "å¯ ¹", + "åı Ĥæķ°", + "åıĤ æķ°", + "Ġre flex", + "Ġref lex", + "Ġrefl ex", + "ĠLa ure", + "ĠLaur e", + "ĠLau re", + ".showMessage Dialog", + ". temp", + ".t emp", + ".te mp", + ".tem p", + "Ġ akan", + "Ġa kan", + "Ġak an", + "Ġaka n", + "Ġ_ _____", + "Ġ__ ____", + "Ġ___ ___", + "Ġ____ __", + "Ġ_____ _", + ".Is True", + "A RED", + "AR ED", + "ARE D", + "a gle", + "ag le", + "E nergy", + "En ergy", + "Ġquant ities", + "âĢĻ é", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ġcitizens hip", + "Ġcitizen ship", + "m outh", + "mo uth", + "Ġin appropriate", + "Ġ Outdoor", + "ĠOut door", + "White Space", + "An onymous", + "lo ads", + "load s", + "webElement Properties", + "T en", + "Te n", + "Ġacc idents", + "Ġaccident s", + "Ġ advertisement", + "Ġad vertisement", + "Ġadvertis ement", + "Ġadvertise ment", + "ĠY emen", + "ĠYe men", + "( call", + "(c all", + "(cal l", + "(ca ll", + "Ġsl avery", + "Ġslave ry", + "Ġsla very", + "Ġslav ery", + "Ñģ п", + "ĠL am", + "ĠLa m", + "_ BITS", + "_B ITS", + "_BIT S", + "o mega", + "om ega", + "ome ga", + "ĠO le", + "ĠOl e", + "Ġkid n", + "Ġki dn", + "_ An", + "_A n", + "ĠR aid", + "ĠRa id", + "ĠRai d", + "C reation", + "Cre ation", + "Creat ion", + "s aved", + "save d", + "sa ved", + "sav ed", + "Ġpro port", + "Ġprop ort", + "Ġpropor t", + "W ARNING", + "WAR NING", + "WARN ING", + "\\ P", + "Ġ pwd", + "Ġp wd", + "Ġpw d", + "Data Reader", + "is cher", + "isc her", + "ische r", + "isch er", + "ad eon", + "ade on", + "Ġ Predict", + "ĠP redict", + "ĠPre dict", + "ĠPred ict", + "Ġreason ing", + "Ġdestroy ing", + "H el", + "He l", + "* d", + "ĠLeg isl", + "_ Pr", + "_P r", + "ĉ ĉĉĠĠĠĠĠĠĠ", + "ĉĉ ĉĠĠĠĠĠĠĠ", + "ĉĉĉ ĠĠĠĠĠĠĠ", + "ĉĉĉĠĠĠ ĠĠĠĠ", + "ĉĉĉĠ ĠĠĠĠĠĠ", + "ĉĉĉĠĠ ĠĠĠĠĠ", + "ĉĉĉĠĠĠĠ ĠĠĠ", + "ĉĉĉĠĠĠĠĠ ĠĠ", + "ĉĉĉĠĠĠĠĠĠ Ġ", + "Ġsym path", + "Ġsymp ath", + "Ġch ess", + "Ġche ss", + "Ġ mam", + "Ġm am", + "Ġma m", + ": hover", + ":h over", + "Ġcon verts", + "Ġconvert s", + "Ġconv erts", + "Ġconver ts", + "Ġp ela", + "Ġpe la", + "Ġpel a", + "Ġpro gression", + "Ġprogress ion", + "Ġprog ression", + "Ġ\" _\"", + "Ġ\"_ \"", + "ĠG ill", + "ĠGi ll", + "ĠGil l", + "ĉ show", + "ĉs how", + "ĉsh ow", + "Ġsupposed ly", + "ac curacy", + "acc uracy", + "accur acy", + "e lin", + "el in", + "eli n", + "Ġunf olding", + "Ġunfold ing", + "Ġ Hyper", + "ĠH yper", + "ĠHy per", + "ĠHyp er", + "Ġw anna", + "Ġwann a", + "Ġwan na", + "Ġ ups", + "Ġu ps", + "Ġup s", + "( #", + "ĠC riminal", + "ĠCr iminal", + "( Point", + "(P oint", + "at Lng", + "act ly", + "Ġcontract ors", + "Ġcontr actors", + "Ġcontractor s", + "Ġcontra ctors", + "' ]}", + "'] }", + "draul ic", + "ód igo", + "Ġ TT", + "ĠT T", + "Ġ Wide", + "ĠW ide", + "ĠWi de", + "ĠWid e", + "Ġ ARG", + "ĠA RG", + "ĠAR G", + "_ ic", + "_i c", + "FLAG S", + "S chool", + "Sch ool", + "Ġcl earing", + "Ġclear ing", + "Ġcle aring", + "- being", + "-b eing", + "-be ing", + "={ [", + ", const", + "man ent", + "Over lay", + "( '\"", + "(' \"", + "éĩ ı", + "Ġ Timestamp", + "ĠT imestamp", + "ĠTime stamp", + "Ġm ailing", + "Ġma iling", + "Ġmail ing", + "Ġmai ling", + "Ġ Cake", + "ĠC ake", + "ĠCa ke", + ". That", + ".T hat", + ".Th at", + "Ġmed itation", + "q p", + "Ġ empresa", + "Ġemp resa", + "Ġempres a", + "ĠL ions", + "ĠLi ons", + "ĠLion s", + "Ġw eld", + "Ġwe ld", + "Ġwel d", + "Ġ LinkedIn", + "ĠLinked In", + "Ġc ush", + "Ġcu sh", + "Ġcus h", + "Ġ genome", + "Ġge nome", + "Ġgen ome", + "Ġgenom e", + ". IndexOf", + ".Index Of", + "a gain", + "ag ain", + "aga in", + "Ġ fallback", + "Ġf allback", + "Ġfall back", + "Ġc amping", + "Ġcamp ing", + "Ġcam ping", + "r edd", + "re dd", + "red d", + "-strip ed", + "-str iped", + "Ġ dv", + "Ġd v", + "Fe bruary", + "Feb ruary", + "Ġ Proxy", + "ĠPro xy", + "ĠPr oxy", + "u sk", + "us k", + "Ġd iesel", + "Ġdi esel", + "Ġdie sel", + "Ġdies el", + "Ġdiese l", + "W RITE", + "WR ITE", + "RE AK", + "REA K", + "L orem", + "Lo rem", + ". Invoke", + ".In voke", + ".Inv oke", + "- div", + "-d iv", + "-di v", + "Inter ceptor", + "Ġ DH", + "ĠD H", + "i ales", + "ial es", + "ia les", + "iale s", + "Ġvill ages", + "Ġvillage s", + "Ġvilla ges", + "Ø ´", + "Ġ ENV", + "ĠE NV", + "ĠEN V", + "S ys", + "Sy s", + ". XR", + ".X R", + "Ġpo em", + "à Ĥ", + "c ade", + "ca de", + "cad e", + "p lots", + "pl ots", + "plot s", + "Ġ {(", + "Ġ{ (", + ". git", + ".g it", + "/ svg", + "/s vg", + "n cmp", + "nc mp", + "Ġ Äį", + "ĠÄ į", + "a ines", + "ain es", + "ai nes", + "aine s", + "åĩ ½æķ°", + "åĩ½ æķ°", + "Ġ ()ĊĊ", + "Ġ( )ĊĊ", + "Ġ() ĊĊ", + "Ġ()Ċ Ċ", + "op sis", + "ops is", + "Ġ Relationship", + "ĠRel ationship", + "ĠRelations hip", + "ĠRelation ship", + "_ aut", + "_a ut", + "Ġ Bomb", + "ĠB omb", + "ĠBo mb", + "ĠBom b", + "ĉ com", + "ĉc om", + "* sizeof", + "*size of", + "off icial", + "_ payload", + "_p ayload", + "_pay load", + "ĉ ĉĉĉĉĠĠ", + "ĉĉ ĉĉĉĠĠ", + "ĉĉĉĉ ĉĠĠ", + "ĉĉĉ ĉĉĠĠ", + "ĉĉĉĉĉ ĠĠ", + "ĉĉĉĉĉĠ Ġ", + ". manager", + ".m anager", + ".man ager", + ".manage r", + "Ġ Around", + "ĠA round", + "ĠAr ound", + "ĉ send", + "ĉs end", + "ĉse nd", + "Ġ Exercise", + "ĠEx ercise", + "Ġ Billy", + "ĠB illy", + "ĠBill y", + "ĠBil ly", + "i vi", + "iv i", + "Ġne eding", + "Ġneed ing", + "_ urls", + "_url s", + "_ur ls", + "_ tasks", + "_t asks", + "_task s", + "ĠH em", + "ĠHe m", + "Ġ tearDown", + "Ġte arDown", + "Ġtear Down", + "en crypt", + "enc rypt", + ". tie", + ".t ie", + "Ġ asm", + "Ġa sm", + "Ġas m", + "I CH", + "IC H", + "ĠCGRect Make", + "ìĦ ±", + "u long", + "ul ong", + "ulo ng", + "Ġ itr", + "Ġit r", + "Ġi tr", + "Ġ GST", + "ĠG ST", + "ĠGS T", + "Ġoffer ings", + "Ġoffering s", + "r obe", + "ro be", + "rob e", + "E EE", + "EE E", + "oper ators", + "operator s", + "_ PROP", + "_P ROP", + "_PRO P", + "_PR OP", + "in dent", + "ind ent", + "inde nt", + "inden t", + "A DE", + "AD E", + "o rf", + "or f", + "ë IJ", + "Ġbl essed", + "Ġbless ed", + "v ascular", + "vas cular", + "Ġcon oc", + "Ġco noc", + "H appy", + "Ha ppy", + "B ridge", + "Br idge", + "il itation", + "ilit ation", + "j oint", + "join t", + "jo int", + "Ġ Administr", + "ĠAdmin istr", + "- transform", + "-trans form", + "Ġmean time", + "Ġmeant ime", + "/ K", + "ĠBed room", + "Ġr igid", + "Ġrig id", + "Ġri gid", + "Ġb rowsers", + "Ġbrowser s", + "Ġbrows ers", + "Ġbrowse rs", + "EM PTY", + "EMP TY", + ". Serialize", + ".S erialize", + ".Serial ize", + "_ ED", + "_E D", + "Ġst itch", + "Ġ jan", + "Ġj an", + "Ġja n", + "el lt", + "ell t", + "Ġ brace", + "Ġb race", + "Ġbr ace", + "Ġbra ce", + "Ġt rails", + "Ġtr ails", + "Ġtrail s", + "Ġtra ils", + "Ġtrai ls", + "p ublished", + "publish ed", + "å¯Ĩ çłģ", + "} ')Ċ", + "}' )Ċ", + "}') Ċ", + "Ġac ids", + "Ġacid s", + "Ġ !!!", + "Ġ! !!", + "Ġ!! !", + "_ direct", + "_d irect", + "_dir ect", + "_di rect", + "> ());Ċ", + ">( ));Ċ", + ">() );Ċ", + ">()) ;Ċ", + "a jÄħ", + "aj Äħ", + "_O CC", + "_OC C", + "Ġplan ets", + "Ġplane ts", + "Ġplanet s", + "Ġpla nets", + "æ Ł¥", + "æŁ ¥", + "ĠDub lin", + "Ġ serie", + "Ġs erie", + "Ġse rie", + "Ġser ie", + "Ġseri e", + ". printf", + ".print f", + "de ep", + "dee p", + "` )", + "Ġ \\$", + "Ġ\\ $", + "Ġ μ", + "ĠÎ ¼", + "_ VIDEO", + "_V IDEO", + "end ors", + "endor s", + "endo rs", + "Ġ Crypto", + "ĠC rypto", + "ĠCrypt o", + "ĠCry pto", + "F ar", + "Fa r", + ". Transparent", + ".Trans parent", + ". TR", + ".T R", + "i asm", + "ia sm", + "ias m", + "_ training", + "_tr aining", + "_train ing", + "_tra ining", + "Ġte aches", + "Ġteach es", + "Ġtea ches", + "ĠB elt", + "ĠBe lt", + "ĠBel t", + "Ġlimit ing", + "Ġlim iting", + "ĠK ath", + "ĠKat h", + "ĠKa th", + "Ġ IndexPath", + "ĠIndex Path", + "Ġachie vements", + "Ġachieve ments", + "Ġachievement s", + "Ġse rá", + "Ġser á", + "interop Require", + "Ġd isse", + "Ġdis se", + "Ġdi sse", + "Ġdiss e", + ". If", + ".I f", + "ar ming", + "arm ing", + "uls ion", + "P o", + "_ DETAIL", + "_DE TAIL", + "_DET AIL", + "Prot otype", + "Proto type", + "Ġ CAL", + "ĠC AL", + "ĠCA L", + "Ġag rees", + "Ġagre es", + "Ġagree s", + "Ġagr ees", + ". vo", + ".v o", + ".Execute NonQuery", + "Ġ Topic", + "ĠT opic", + "ĠTo pic", + "ĠTop ic", + "Ġ' {}", + "Ġ'{ }", + "A rm", + "Ar m", + "Ġ ecc", + "Ġe cc", + "Ġec c", + "M ag", + "Ma g", + "Ġ serialized", + "Ġs erialized", + "Ġser ialized", + "Ġserial ized", + "Ġserialize d", + "ĉ conn", + "ĉc onn", + "ĉcon n", + "c ached", + "ca ched", + "cache d", + "cac hed", + "= tf", + "=t f", + "Ġ ByteArray", + "ĠByte Array", + "prot obuf", + "proto buf", + "var char", + "ĉ ASSERT", + "ĉA SSERT", + "Ġ liste", + "Ġl iste", + "Ġli ste", + "Ġlist e", + "Ġlis te", + "_ trigger", + "_tr igger", + "_tri gger", + "· ¸", + "F eel", + "Fe el", + "Fee l", + "T ahoma", + "Ġ Lik", + "ĠL ik", + "ĠLi k", + "Ġ structured", + "Ġstruct ured", + "Ġstructure d", + "erg us", + ". Initial", + ".In itial", + ".Init ial", + "_ ge", + "_g e", + "cl js", + ". contact", + ".cont act", + "Ġand ere", + "Ġan dere", + "Ġander e", + "$ stmt", + "_ CURRENT", + "_C URRENT", + "Ġ Discover", + "ĠDis cover", + "ĠDisc over", + "ĠDisco ver", + "$ res", + "$r es", + "form atter", + "for matter", + "format ter", + "H a", + "van gst", + "vang st", + "Ġe merge", + "Ġem erge", + "Ġemerg e", + "ãĢĤ âĢĿ", + "ĠC abinet", + "ĠCabin et", + "ĠCab inet", + "- square", + "-s quare", + "éĥ ¨", + "Ġ rage", + "Ġr age", + "Ġra ge", + "Ġrag e", + "Ġ AJ", + "ĠA J", + "Ġ VT", + "ĠV T", + "sh adow", + "ĠFa ith", + "e names", + "en ames", + "ename s", + "ena mes", + "p retty", + "pr etty", + "pre tty", + "pret ty", + "h asil", + "ha sil", + "has il", + "p arty", + "par ty", + "part y", + "Ġ varchar", + "Ġvar char", + "Ġf otos", + "Ġfo tos", + "Ġfoto s", + "Ġfot os", + "Ġa lum", + "Ġal um", + "ĠBel gium", + "ĠBelg ium", + ". ylabel", + ".y label", + "Ġ dej", + "Ġd ej", + "Ġde j", + "_ numbers", + "_num bers", + "_number s", + "Ġ hu", + "Ġh u", + ".set Adapter", + "Ġ Usually", + "ĠUs ually", + "( sample", + "(s ample", + ". Shared", + ".Sh ared", + "Ġbo oked", + "Ġbook ed", + "Ġboo ked", + "Ġ> >=", + "Ġ>> =", + "Ġmin erals", + "Ġmineral s", + "Ġminer als", + "\" > < ?=", + "\">", + "'] )->", + "']) ->", + "p rog", + "pr og", + "pro g", + "b oo", + "bo o", + "_ md", + "_m d", + "_ pack", + "_p ack", + "_pa ck", + "( express", + "(ex press", + "(exp ress", + "(expr ess", + "u tz", + "ut z", + "\\ Auth", + ", id", + ",i d", + "ĠCh ile", + "ĠChi le", + "act ice", + "actic e", + "Ġrec ruitment", + "Ġrecruit ment", + "Ġ poses", + "Ġp oses", + "Ġpos es", + "Ġpo ses", + "Ġpose s", + "Ġvulner ability", + "inst anc", + "o rum", + "or um", + "oru m", + "d ess", + "de ss", + "des s", + "Ġ xl", + "Ġx l", + "%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%", + "( fig", + "(f ig", + "(fi g", + "Ġde leting", + "Ġdel eting", + "Ġdelet ing", + "Ġdele ting", + ". del", + ".d el", + ".de l", + ") ')Ċ", + ")' )Ċ", + "Ġ Weekly", + "ĠWeek ly", + "? ??", + "?? ?", + "( strcmp", + "(str cmp", + "s mith", + "sm ith", + "Ġpurs uing", + "- so", + "-s o", + "Ġ Apps", + "ĠA pps", + "ĠApp s", + "ĠAp ps", + "/ 'Ċ", + "/' Ċ", + "Ġde cis", + "Ġdec is", + "F ORE", + "FO RE", + "FOR E", + "Every one", + "Ġl anes", + "Ġla nes", + "Ġlane s", + "Ġlan es", + "V irtual", + "Vir tual", + ". attach", + ".at tach", + ".att ach", + "( Log", + "(L og", + "ĠMed icaid", + "ĠMedic aid", + "( Path", + "(P ath", + "ĠTur ner", + "ĠTurn er", + "/ application", + "/app lication", + "/ap plication", + "Ġ portrait", + "Ġport rait", + "Ġpor trait", + "Ġop pose", + "Ġopp ose", + "Ġoppos e", + "check out", + "Ġfin ishes", + "Ġfinish es", + "_ ME", + "_M E", + "Bar rier", + "S ong", + "So ng", + "Son g", + "V AR", + "VA R", + "Ear lier", + "r ella", + "re lla", + "rel la", + "rell a", + "Ġh ast", + "Ġhas t", + "Ġha st", + "a zar", + "az ar", + "aza r", + "Ġp ulls", + "Ġpull s", + "Ġpul ls", + "n gx", + "ng x", + "Ġins piring", + "Ġinspir ing", + "Ġinsp iring", + "Ñĥ Ñİ", + "- direction", + "-d irection", + "-direct ion", + "-dir ection", + "-di rection", + "Ġexplos ive", + "Ġ createdAt", + "Ġcreated At", + "s to", + "st o", + "Ġw heat", + "Ġwh eat", + "Ġwhe at", + "Ġ Built", + "ĠB uilt", + "ĠBu ilt", + "' ai", + "'a i", + "Ġ tracked", + "Ġtr acked", + "Ġtrack ed", + "h ammad", + "ham mad", + "RowAt IndexPath", + "_ heap", + "_he ap", + "D ue", + "Du e", + "Ġconn ects", + "Ġconnect s", + ". publish", + ".p ublish", + ".pub lish", + "e mu", + "em u", + "Ġb ullets", + "Ġbul lets", + "Ġbull ets", + "Ġbullet s", + "B AR", + "BA R", + "o late", + "ol ate", + "ola te", + "Ġintern ally", + "Ġinternal ly", + "Ġc atching", + "Ġcatch ing", + "Ġcat ching", + "- password", + "-p assword", + "-pass word", + "ou ched", + "ouch ed", + "æĢ §", + "e ous", + "eo us", + "Ġx range", + "Ġxr ange", + "Q uality", + "Qu ality", + "Qual ity", + "v v", + "Man age", + "Ma nage", + "Mana ge", + "( ($", + "(( $", + "ace ments", + "ac ements", + "acement s", + "ĠBr others", + "ĠBro thers", + "ĠBrother s", + "Ġ HEAD", + "ĠHE AD", + "Ġ Unsupported", + "ĠUn supported", + "ĠUns upported", + "s an", + "sa n", + "e si", + "es i", + "* **Ċ", + "** *Ċ", + "*** Ċ", + "Ġadapt ation", + "Ġ Worker", + "ĠWork er", + "ĠWor ker", + "' ]/", + "'] /", + ".save fig", + "( trans", + "(t rans", + "(tr ans", + "Ø ¬", + "n ee", + "ne e", + "C orrect", + "Cor rect", + ".. .\")Ċ", + "... \")Ċ", + "...\" )Ċ", + "Ġsubmit ting", + "- path", + "-p ath", + "ĉ last", + "ĉl ast", + "is san", + "iss an", + "issa n", + ". xlabel", + ".x label", + "Ġ Separ", + "ĠS epar", + "ĠSe par", + "ĠSep ar", + "/ no", + "/n o", + "_ best", + "_b est", + "_be st", + "ĠM ills", + "ĠMill s", + "ĠMil ls", + "_ sock", + "_s ock", + "_so ck", + "_soc k", + "( flag", + "(f lag", + "(fl ag", + "Ġdest inations", + "Ġdestination s", + "Ġdestin ations", + "em ption", + "emp tion", + "empt ion", + "Ġ FAIL", + "ĠF AIL", + "ĠFA IL", + "å ĴĮ", + "åĴ Į", + "Ġ rp", + "Ġr p", + "f act", + "fa ct", + "fac t", + "ĉ len", + "ĉl en", + "D AY", + "DA Y", + "Ġse iz", + "Ġsei z", + "_ dst", + "_d st", + "_ds t", + "l ip", + "li p", + ". Linear", + ".L inear", + ".Line ar", + "Ġ Basket", + "ĠB asket", + "ĠBas ket", + "$ t", + "$ i", + "- brand", + "-b rand", + "-br and", + "Ġ Neil", + "ĠN eil", + "ĠNe il", + "Ġ Eq", + "ĠE q", + "Ġt hou", + "Ġth ou", + "Ġtho u", + "o gene", + "og ene", + "ogen e", + "oge ne", + "Ġscholar ship", + "Ġscholars hip", + "æĽ ´", + "Ġs wo", + "Ġsw o", + "ag inator", + "agina tor", + "e ni", + "en i", + "( book", + "(b ook", + "Ġ blink", + "Ġb link", + "Ġbl ink", + "Ġbli nk", + "t hus", + "th us", + "Ġ cancellationToken", + "Ġc ancellationToken", + "Ġcancell ationToken", + "Ġcancellation Token", + "ĠPalestin ians", + "ĠPalestinian s", + "Ġprof itable", + "Ġprofit able", + "Ġback pack", + "en son", + "ens on", + "enso n", + "< Long", + " < /", + "_ WORD", + "_W ORD", + "\\M igrations", + "\\Migration s", + "Ġ ENABLE", + "ĠEN ABLE", + "_PARAM ETER", + "ĠB ishop", + "ĠBi shop", + "ĠBis hop", + ". subject", + ".sub ject", + "il las", + "ill as", + "illa s", + ". matrix", + ".m atrix", + ".mat rix", + "urre nces", + "urrenc es", + "urr ences", + "urrence s", + "* y", + "Ġcost ly", + "Ġ Chuck", + "ĠCh uck", + "ĠChu ck", + "Ġc loses", + "Ġcl oses", + "Ġclose s", + "Ġclos es", + "Ġclo ses", + "ĠM ight", + "ĠMi ght", + "ĠMig ht", + "- store", + "-st ore", + "Ġ mall", + "Ġm all", + "Ġma ll", + "Ġmal l", + "i eten", + "ie ten", + "iet en", + "iete n", + ". Abs", + ".A bs", + ".Ab s", + "Ġcou pled", + "Ġcouple d", + "Ġcoup led", + ". basic", + ".b asic", + ".ba sic", + "Ġ ::::::::", + "Ġ: :::::::", + "Ġ:: ::::::", + "Ġ::: :::::", + "M aker", + "Make r", + "Ma ker", + "c annot", + "can not", + "Ġ ach", + "Ġa ch", + "Ġac h", + "ĠE li", + "ĠEl i", + "âĪ Ĵ", + "o rna", + "or na", + "orn a", + "Ġ cps", + "Ġc ps", + "Ġcp s", + "Ġthere of", + "Ġther eof", + "Ġ@ {", + "Ġ NSMutableArray", + "ĠNSMutable Array", + "Î ½", + "pro ductive", + "product ive", + "prod uctive", + "S quare", + "tem pts", + "temp ts", + "tempt s", + "Ġelim inated", + "Ġeliminate d", + "Ġelimin ated", + "< M", + "Ġcons ervatives", + "Ġconserv atives", + "Ġconservative s", + "ĠS urg", + "ĠSur g", + "ĠSu rg", + ". par", + ".p ar", + ".pa r", + "ĠB uch", + "ĠBu ch", + "* b", + "F ort", + "For t", + "Fo rt", + "Col our", + "Ġ Chi", + "ĠC hi", + "ĠCh i", + "e dic", + "ed ic", + "edi c", + "> true", + "ĠN YC", + "ĠNY C", + "Ġb ored", + "Ġbo red", + "Ġbor ed", + "Ġbore d", + "Ġ Detect", + "ĠD etect", + "ĠDet ect", + "Ġapp ar", + "Ġap par", + "Ġje ans", + "Ġjean s", + "Ġ Tak", + "ĠT ak", + "ĠTa k", + "I OD", + "IO D", + "ĠH orse", + "ĠHor se", + "( FILE", + "(F ILE", + "( ?", + "r ique", + "ri que", + "opt imizer", + "optim izer", + "optimize r", + "n at", + "na t", + "lo ys", + "loy s", + "ĉ Token", + "ĉT oken", + "oub ted", + "u ess", + "ue ss", + "ues s", + "oc oa", + "oco a", + "Data Member", + "_ POWER", + "_P OWER", + "_PO WER", + "class List", + "Push Button", + "Ġ WiFi", + "ĠWi Fi", + ". Stream", + ".St ream", + ".Str eam", + ". guild", + ".g uild", + ".gui ld", + "Ġn og", + "Ġno g", + "ĠPort ugal", + "ĠPortug al", + "ĠUn ter", + "ĠUnt er", + "Pr imitive", + "Prim itive", + "b oss", + "bo ss", + "bos s", + "ĠDe utsch", + "Ġer otic", + "Ġerot ic", + "Ġero tic", + "Ġ strconv", + "Ġstr conv", + ".Try Parse", + "Ġ grams", + "Ġg rams", + "Ġgr ams", + "Ġgram s", + "Ġgra ms", + ". Success", + ".S uccess", + "_ pk", + "_p k", + "ĠHar vey", + "-m inded", + "-min ded", + ". country", + ".c ountry", + ".count ry", + "[ ]\"", + "[] \"", + "Ġ angel", + "Ġan gel", + "Ġang el", + "Ġange l", + "Ġbe ats", + "Ġbeat s", + "ĠV or", + "ĠVo r", + "i lio", + "il io", + "ili o", + ". master", + ".m aster", + ".mas ter", + ".ma ster", + "s omething", + "some thing", + "som ething", + "Ġ PACK", + "ĠP ACK", + "ĠPA CK", + "ĠPAC K", + "( if", + "(i f", + "Request Body", + "Ġ antes", + "Ġan tes", + "Ġant es", + "Ġante s", + "/ widget", + "/w idget", + "Ġ modo", + "Ġm odo", + "Ġmod o", + "Ġmo do", + "Ġ AW", + "ĠA W", + "f inder", + "find er", + "fin der", + "fi nder", + "Ġ optimized", + "Ġopt imized", + "Ġoptim ized", + "Ġoptimize d", + "Ġmiss iles", + "Ġmissile s", + "N B", + "ĉ internal", + "ĉint ernal", + "ĉin ternal", + "ĉinter nal", + "t ex", + "te x", + "ĠS ri", + "ĠSr i", + "Ġdam aging", + "Ġ Mais", + "ĠM ais", + "ĠMa is", + "ĠMai s", + "- Allow", + "-Al low", + "Ġ Zh", + "ĠZ h", + "- alt", + "-a lt", + "-al t", + "Ġ ));ĊĊ", + "Ġ) );ĊĊ", + "Ġ)) ;ĊĊ", + "Ġ));Ċ Ċ", + "Ġ)); ĊĊ", + "è ī", + "Ġinflu ences", + "Ġinfluence s", + "Ġc atal", + "Ġca tal", + "Ġcat al", + "Ġcata l", + "_ REGISTER", + "_REG ISTER", + "ĠAPI s", + "ĠAP Is", + "-cent ury", + "Ġ biology", + "Ġb iology", + "Ġbi ology", + "Ġbio logy", + "Ġ Actual", + "ĠAct ual", + "ĠAc tual", + "Ġ heels", + "Ġhe els", + "Ġheel s", + "TR ACE", + "TRA CE", + "_ DIG", + "_D IG", + "_DI G", + "D ataset", + "Data set", + "Dat aset", + "Datas et", + "ĠM atter", + "ĠMat ter", + "ĠMatt er", + "ĠMatte r", + "Ġ classifier", + "Ġclass ifier", + ".w ikipedia", + "ĠRo gers", + "ĠRog ers", + "ĠRoger s", + "Ġdon ated", + "Ġdonate d", + "raw ler", + "rawl er", + "e nen", + "en en", + "ene n", + "Ġcas inos", + "Ġcasino s", + "Ġcasi nos", + "or tal", + "ort al", + "orta l", + "Ġp rive", + "Ġpr ive", + "Ġpriv e", + "Ġpri ve", + "s pe", + "sp e", + "du cers", + "duc ers", + "duce rs", + "ducer s", + ". ep", + ".e p", + "Ġgr asp", + "Ġgra sp", + "Ġgras p", + "ac ji", + "Ġd airy", + "Ġda iry", + "Ġdai ry", + "Ġdair y", + "Ġb uses", + "Ġbu ses", + "Ġbus es", + ". comm", + ".c omm", + ".com m", + ".co mm", + ". ins", + ".in s", + ".i ns", + "Ġ IRS", + "ĠI RS", + "ĠIR S", + "Ġ Beer", + "ĠB eer", + "ĠBe er", + "ĠBee r", + "a dc", + "ad c", + "o ard", + "oa rd", + "_ MET", + "_M ET", + "_ME T", + "Ġ' +'", + "Ġ'+ '", + "r ans", + "ra ns", + "ran s", + "Ġk inda", + "Ġkind a", + "Ġki nda", + "Ġkin da", + "Ġ âĶĤ", + "ĠâĶ Ĥ", + "ĠM aur", + "ĠMa ur", + "а г", + "аР³", + "Ġband width", + "i bus", + "ib us", + "ibu s", + "Ġ Different", + "ĠD ifferent", + "( mat", + "(m at", + "Ġ Resume", + "ĠRe sume", + "ĠRes ume", + "_ UNS", + "_U NS", + "_UN S", + "est ablish", + "Ġfon ction", + "Sub scription", + "_ company", + "_com pany", + "_comp any", + "Ġ lightly", + "Ġl ightly", + "Ġlight ly", + ". confirm", + ".con firm", + ".conf irm", + ". yaml", + ".y aml", + "Ġ Boost", + "ĠBo ost", + "ĠBoo st", + "Com merce", + "Comm erce", + "- template", + "-t emplate", + "-temp late", + "_ DELAY", + "_DE LAY", + "_DEL AY", + "Ġ HI", + "ĠH I", + "Ġn avig", + "Ġna vig", + "Ġnav ig", + "( Sender", + "(S ender", + "Ġ HS", + "ĠH S", + "_ \"+", + "_\" +", + "Ġ REQUEST", + "ĠRE QUEST", + "ĠREQ UEST", + "Ġ wifi", + "Ġw ifi", + "Ġwi fi", + "= \"\"Ċ", + "=\" \"Ċ", + "=\"\" Ċ", + "] )->", + "]) ->", + "])- >", + "Ġr ope", + "Ġro pe", + "Ġrop e", + "Ġvi olated", + "Ġviol ated", + "Ġviolate d", + "Ġgl ance", + "ĠK urd", + "ĠKur d", + "ĠKu rd", + "Ġ è®", + "Ġè ®", + "d eck", + "de ck", + "dec k", + "Ġ ISBN", + "ĠIS BN", + "Ġin fect", + "Ġinf ect", + "Ġ Foo", + "ĠF oo", + "ĠFo o", + "Ġ getter", + "Ġg etter", + "Ġget ter", + "Ġ tener", + "Ġt ener", + "Ġte ner", + "Ġten er", + "a ppe", + "ap pe", + "app e", + ". hh", + ".h h", + "_ hot", + "_h ot", + "< AM", + " \".$", + ">\" .$", + ">\". $", + "Ġre lies", + "Ġrel ies", + "Ġreli es", + "Ġrelie s", + "( Console", + "Int ernational", + "Inter national", + "Intern ational", + "- >{$", + "-> {$", + "->{ $", + "M id", + "Mi d", + "Ġdis sert", + "Ġdiss ert", + "Ġdisse rt", + "d ds", + "dd s", + "Ġdeposit s", + "Ġdepos its", + "ĉ driver", + "ĉd river", + "# ga", + "#g a", + "p rising", + "pr ising", + "pri sing", + "print ln", + "Ġp resenter", + "Ġpres enter", + "Ġpresent er", + "Ġpresente r", + "Ġm ines", + "Ġmin es", + "Ġmi nes", + "Ġmine s", + "C SS", + "CS S", + "Ġ Dual", + "ĠD ual", + "ĠDu al", + "( !(", + "(! (", + "Ġk am", + "Ġka m", + "Ġ isLoading", + "Ġis Loading", + "Ġ Protect", + "ĠProt ect", + "ĠProte ct", + ". upper", + ".u pper", + ".up per", + "a rium", + "ar ium", + "ari um", + "] :ĊĊĊ", + "]: ĊĊĊ", + "]:Ċ ĊĊ", + "]:ĊĊ Ċ", + "Y ii", + "- shirt", + "-sh irt", + "Ġ IMAGE", + "ĠIM AGE", + "_ colors", + "_color s", + "_col ors", + "Ġ urgent", + "Ġur gent", + "Ġurge nt", + "Ġurg ent", + ". Container", + ".Cont ainer", + "! (Ċ", + "!( Ċ", + "S aturday", + "Ġsoc ieties", + "Ġsoci eties", + "Ġ Than", + "ĠT han", + "ĠTh an", + "Ġ Cod", + "ĠC od", + "ĠCo d", + "= @", + "Ġ attachments", + "Ġattach ments", + "Ġattachment s", + ". mobile", + ".m obile", + ".mob ile", + "Ġs pite", + "Ġsp ite", + "Ġspi te", + "Ġspit e", + "Ġ bounce", + "Ġb ounce", + "Ġbo unce", + "Ġbou nce", + "r awl", + "ra wl", + "raw l", + "instance type", + "instanc etype", + "ĠTr uck", + "ĠTru ck", + "Ġmanip ulation", + "( Config", + "- inst", + "-in st", + "-i nst", + "-ins t", + "Ġ stor", + "Ġs tor", + "Ġst or", + "Ġsto r", + "it ution", + "itu tion", + "Preferred Gap", + "Ġmain AxisAlignment", + "Ġlist ened", + "Ġlisten ed", + "Ġliste ned", + "'' 'ĊĊ", + "'''Ċ Ċ", + "''' ĊĊ", + "ott age", + "otta ge", + "- project", + "-pro ject", + ". APPLICATION", + ".AP PLICATION", + "ĉ root", + "ĉr oot", + "Ġw hit", + "Ġwh it", + "Ġ bilder", + "Ġb ilder", + "Ġbi lder", + "Ġbil der", + "Ġbild er", + "Ġ ker", + "Ġk er", + "Ġke r", + "Ġappl iances", + "Ġappliance s", + "ro wave", + "row ave", + "ìĿ Ģ", + "em atics", + "ema tics", + "ematic s", + "emat ics", + "Ġ Org", + "ĠO rg", + "ĠOr g", + "o ping", + "op ing", + "opi ng", + "_ SEARCH", + "_SE ARCH", + "Ġc ham", + "Ġch am", + "Ġcha m", + "add ContainerGap", + "Ġ ().", + "Ġ( ).", + "Ġ() .", + "Ġ Arrow", + "ĠAr row", + "ĠArr ow", + "Il legal", + "Ill egal", + "Current ly", + "Curr ently", + "Ġ usa", + "Ġu sa", + "Ġus a", + "Ġpass words", + "Ġpassword s", + "Ġre nown", + "Ġren own", + "a vern", + "av ern", + "ave rn", + "aver n", + "ĠE vil", + "ĠEv il", + "Ġ concat", + "Ġcon cat", + "Ġconc at", + "Ġd uo", + "Ġdu o", + "Ġ vale", + "Ġv ale", + "Ġval e", + "Ġva le", + "Ġ Bean", + "ĠB ean", + "ĠBe an", + "ĠBea n", + "Ġind icators", + "Ġindic ators", + "Ġindicator s", + "Ġindica tors", + "c math", + "cm ath", + "ĠP ump", + "ĠPu mp", + "Nov ember", + "ific ant", + "ifi cant", + "ifica nt", + "_ DOMAIN", + "_DO MAIN", + "_DOM AIN", + "re gar", + "reg ar", + "rega r", + "Ġ Portal", + "ĠP ortal", + "ĠPort al", + "ĠPor tal", + "\" $", + "Ġ formerly", + "Ġformer ly", + "\" ]:Ċ", + "\"] :Ċ", + "\"]: Ċ", + "Ġ Visibility", + "ĠVis ibility", + ".getElementsBy ClassName", + "_ RED", + "_RE D", + "_R ED", + "Ġch ampions", + "Ġchampion s", + "Ġchamp ions", + "à ´", + "Val or", + "Va lor", + "_ es", + "_e s", + "* a", + "- repeat", + "-re peat", + "B and", + "Ban d", + "Ba nd", + ". stage", + ".st age", + "Ġbure auc", + "Ġbureau c", + "C nt", + "e ten", + "et en", + "ete n", + "- function", + "-f unction", + "Ġm uito", + "Ġmu ito", + "Ġmuit o", + "P ID", + "PI D", + "_ editor", + "_e ditor", + "_edit or", + "_ed itor", + "Ġcr ashed", + "Ġcrash ed", + "Ġcra shed", + "d ead", + "de ad", + "dea d", + "k at", + "ka t", + "a gh", + "ag h", + "Ġ EXT", + "ĠE XT", + "ĠEX T", + "as ser", + "ass er", + "asse r", + "- small", + "-s mall", + "-sm all", + "Ġre aliz", + "Ġreal iz", + "( Entity", + "(E ntity", + "ú s", + "Ġ Actually", + "ĠAct ually", + "ĠActual ly", + "Ġ Elite", + "ĠE lite", + "ĠEl ite", + "ĠEli te", + "Ġ helm", + "Ġh elm", + "Ġhe lm", + "Ġhel m", + "( nonatomic", + "(non atomic", + "a sher", + "as her", + "ash er", + "Comm unity", + "all eng", + "alle ng", + "allen g", + "i ry", + "ir y", + "ĠG rowth", + "ĠGrow th", + "Ġs ue", + "Ġsu e", + "Ġf requencies", + "Ġfrequ encies", + "_ descriptor", + "_des criptor", + ". Attribute", + ".At tribute", + "Ġrec ipients", + "Ġrecipient s", + "Ġrecip ients", + "_ NS", + "_N S", + "/ \"+", + "/\" +", + "i ban", + "ib an", + "iba n", + "Ġ athlete", + "Ġath lete", + "Ġ Ign", + "ĠI gn", + "ĠIg n", + "_ DMA", + "_D MA", + "_DM A", + "( ds", + "(d s", + "Ġ Requirements", + "ĠRequire ments", + "ĠRequirement s", + "A DI", + "AD I", + "e rez", + "er ez", + "ere z", + "\\ Admin", + "br aska", + "bra ska", + "bras ka", + "ĠR ust", + "ĠRu st", + "ĠRus t", + "Re lation", + "Rel ation", + "C OD", + "CO D", + "Ġ VERSION", + "ĠV ERSION", + "ĠVER SION", + "e mma", + "em ma", + "emm a", + ") ){", + ")) {", + ". Duration", + ".D uration", + "Ġ Camb", + "ĠC amb", + "ĠCam b", + "ĠCa mb", + "- logo", + "-l ogo", + "-lo go", + "-log o", + "Ġread able", + "Ġcre ators", + "Ġcreat ors", + "Ġcreator s", + "Ġcrea tors", + "( )];Ċ", + "() ];Ċ", + "()] ;Ċ", + "Up Down", + "- half", + "-h alf", + ".get Month", + ".getM onth", + "( sf", + "(s f", + "P ic", + "Pi c", + "Ġh unger", + "Ġhun ger", + "Ġhung er", + "Ġhu nger", + ". tx", + ".t x", + "Ġex ceeded", + "Ġexceed ed", + "Ġexce eded", + "_ seed", + "_s eed", + "_se ed", + "( ^", + "_ sk", + "_s k", + ". perform", + ".per form", + "Ġ >::", + "Ġ> ::", + "Ġ mongo", + "Ġm ongo", + "Ġmon go", + "Ġmo ngo", + "Ġmong o", + "= float", + "=f loat", + "bind Param", + "S mart", + "Sm art", + "i fa", + "if a", + "Ġse curities", + "Ġsec urities", + "Ġpre jud", + "Ġ ,\"", + "Ġ, \"", + "Ġcor ps", + "Ġcorp s", + "Ġv ra", + "Ġvr a", + "ama care", + "amac are", + "i terr", + "it err", + "ite rr", + "iter r", + "( Media", + "(M edia", + "(Me dia", + "u che", + "uch e", + "uc he", + "Ġ cob", + "Ġc ob", + "Ġco b", + "Ġl iber", + "Ġli ber", + "Ġlib er", + ". geometry", + ".ge ometry", + ".geom etry", + ".geo metry", + "L ocator", + "Loc ator", + "Ġsl iding", + "Ġslid ing", + "Ġs urgical", + "Ġsurg ical", + "_ CUR", + "_C UR", + "Ġcon sect", + "Ġcons ect", + "Ġconsec t", + "Ġconse ct", + "[ *", + "ĠRe sort", + "ĠRes ort", + "St ub", + "_ DOUBLE", + "_DO UBLE", + "Ġ Soph", + "ĠS oph", + "ĠSo ph", + "Ġelect oral", + "_ disable", + "_d isable", + "_dis able", + "Ġ Ñģо", + "ĠÑģ о", + "ĠLight ning", + "Ġ mentions", + "Ġm entions", + "Ġmention s", + "Ġment ions", + "o cy", + "oc y", + "Ġle aked", + "Ġleak ed", + "Ġrelax ing", + "P resenter", + "Pres enter", + "Present er", + "v sp", + "vs p", + "Ġg uilt", + "Ġgu ilt", + "Ġgui lt", + "=- =-", + ". reply", + ".re ply", + ".rep ly", + "Ġ Mirror", + "ĠM irror", + "ĠMir ror", + "ĠMi rror", + "C amp", + "Ca mp", + "Cam p", + "Ġ+#+ #+#+", + "Ġ+#+#+#+ #+#+", + ". Author", + ".A uthor", + ".Auth or", + "Ġ directive", + "Ġdirect ive", + "Ġdir ective", + "- hook", + "-h ook", + "íĦ °", + "} ĊĊĊĊĊ", + "}Ċ ĊĊĊĊ", + "}ĊĊ ĊĊĊ", + "}ĊĊĊ ĊĊ", + "}ĊĊĊĊ Ċ", + "@ pytest", + "_ rand", + "_r and", + "_ra nd", + "m is", + "mi s", + "Ġcolor ful", + "u je", + "uj e", + "l asses", + "lass es", + "las ses", + "Ġ Classes", + "ĠC lasses", + "ĠCl asses", + "ĠClass es", + "ĠClasse s", + ". have", + ".h ave", + "% ),", + "%) ,", + "é¢ ĺ", + "Ġdistur bing", + "Ġdisturb ing", + "sub string", + "substr ing", + "subst ring", + "subs tring", + "ĠK oh", + "ĠKo h", + "In vest", + "Inv est", + "p urchase", + "Ġrec ycling", + "Ġrecycl ing", + "Ġ ART", + "ĠA RT", + "ĠAR T", + "ier archy", + "Ġ fps", + "Ġf ps", + "Ġfp s", + ". checkBox", + ".check Box", + "íķ ´", + "_ material", + "_m aterial", + "_mat erial", + "du cation", + "duc ation", + "Ġ fw", + "Ġf w", + "u dit", + "ud it", + "udi t", + "Ġreview ing", + "Ġ Sid", + "ĠS id", + "ĠSi d", + "S yntax", + "Sy ntax", + "Syn tax", + "Ġ Written", + "ĠW ritten", + "ĠWr itten", + "ar gar", + "arg ar", + "arga r", + "U ME", + "UM E", + "/ q", + "Class ifier", + "Off icial", + "Ġj azz", + "Ġja zz", + "Ġjaz z", + "Ġ omega", + "Ġo mega", + "Ġom ega", + "Ph ysics", + "Phys ics", + "Ġl ugar", + "Ġlu gar", + "Ġlug ar", + "_access or", + "_acc essor", + ". commands", + ".command s", + ".comm ands", + "Ab ility", + "Ġ Batch", + "ĠB atch", + "ĠBat ch", + "R AM", + "RA M", + "Ġenc ounters", + "Ġencounter s", + "Ġencount ers", + ". Qu", + ".Q u", + "B YTE", + "BY TE", + "Ġ Distribution", + "ĠD istribution", + "ĠDis tribution", + "ĠDistrib ution", + "Ġ uso", + "Ġu so", + "Ġus o", + "ĠRe covery", + "ĠRec overy", + "ĠReco very", + "ĠRecover y", + "ap proved", + "appro ved", + "approve d", + "Ġden ial", + "/ share", + "/s hare", + "/sh are", + "Link edList", + "Linked List", + ") čĊčĊčĊ", + ")čĊ čĊčĊ", + ")čĊčĊ čĊ", + "u ddy", + "ud dy", + "udd y", + "Ġf ines", + "Ġfin es", + "Ġfine s", + "Ġfi nes", + "Ġ ry", + "Ġr y", + "Un icode", + "Uni code", + "ĉ render", + "ĉr ender", + "ĉre nder", + "Ġprem ises", + "Ġpremise s", + "Ġpremi ses", + "Ġ pon", + "Ġp on", + "Ġpo n", + "ali ases", + "alias es", + "alia ses", + "/ Foundation", + "/F oundation", + "c uda", + "cu da", + "ĠC ock", + "ĠCo ck", + "ĠCoc k", + ", :)", + ",: )", + "( folder", + "(f older", + "Ġm éd", + "Ġmé d", + "d rag", + "dr ag", + "dra g", + "Ġtal ents", + "Ġtalent s", + "Ġtale nts", + "Ġ ĠĠĊĊ", + "ĠĠ ĠĊĊ", + "ĠĠĠ ĊĊ", + "ĠĠĠĊ Ċ", + "е ÑģÑĤв", + "еÑģÑĤ в", + "m ob", + "mo b", + ".y ml", + "Ġ aster", + "Ġa ster", + "Ġas ter", + "Ġast er", + "Ġdis cre", + "Ġdisc re", + "go al", + "ĠG TX", + "ĠGT X", + "Ġ SUCCESS", + "ĠS UCCESS", + "Ġ LONG", + "ĠL ONG", + "ĠLO NG", + "( find", + "(f ind", + "(fin d", + "(fi nd", + "Ġ singular", + "Ġs ingular", + "Ġsing ular", + "_ sz", + "_s z", + "ĠEth ereum", + "ĠEther eum", + ". .Ċ", + ".. Ċ", + "Ġir res", + "Ġirre s", + "Ġirr es", + "' )){Ċ", + "') ){Ċ", + "')) {Ċ", + "Ġmin isters", + "Ġminister s", + "Ġmini sters", + "Ġminist ers", + "St eps", + "Step s", + "Ste ps", + "iver sal", + "ivers al", + "Ġ Nevertheless", + "ĠNever theless", + "- led", + "-l ed", + "-le d", + "Ġ( %)", + "Ġ(% )", + "ç¡ ®", + "Ġ timezone", + "Ġtime zone", + "Ġstr anger", + "Ġstrange r", + "Ġstrang er", + "Ġstran ger", + "Ġstra nger", + "( render", + "(r ender", + "(re nder", + "Ġsh util", + "Ġshut il", + "Ġ mph", + "Ġm ph", + "Ġmp h", + "Ġt rio", + "Ġtr io", + "Ġtri o", + "p py", + "pp y", + "Ġpred omin", + "Ġ endors", + "Ġend ors", + "ĠRuss ians", + "ĠRussia ns", + "ĠRussian s", + "ĉ row", + "ĉr ow", + "Ġ wizard", + "Ġw izard", + ". serialize", + ".s erialize", + ".serial ize", + "Ġcompl ained", + "Ġcomplain ed", + "Ġs ido", + "Ġsi do", + "Ġsid o", + "Ġdel ighted", + "Ġdelight ed", + "- me", + "-m e", + "ĠR av", + "ĠRa v", + "H uman", + "Hum an", + "Hu man", + "a days", + "ad ays", + "ada ys", + "aday s", + "re cv", + "rec v", + "Work ing", + "J ump", + "Ju mp", + "Ġ Ã¥r", + "ĠÃ¥ r", + "Ġ Automatic", + "ĠAuto matic", + "ĠAut omatic", + "ĠAutom atic", + "_ Base", + "_B ase", + "æł ¼", + "aur ants", + "aurant s", + "aura nts", + " ¯", + "æ ¸", + "(C Type", + "I FI", + "IF I", + "( amount", + "(a mount", + "(am ount", + "Ġbel ieving", + "Ġbelie ving", + "= mysql", + "=m ysql", + "=my sql", + "Ġ fir", + "Ġf ir", + "Ġfi r", + "Ġrest oration", + "Ġresto ration", + "er eco", + "ere co", + "Ð ¢", + "_ '+", + "_' +", + "Ġe book", + "Ġeb ook", + "Ġde bris", + "Ġdeb ris", + "( inputs", + "(input s", + "(in puts", + "(inp uts", + "AY OUT", + "Ġscre aming", + "Ġscream ing", + "a via", + "av ia", + "avi a", + "l ander", + "land er", + "la nder", + "lan der", + "Ġdist ress", + "Ġdi stress", + "Ġdistr ess", + "Ġas sembled", + "Ġassemble d", + "Ġ Avoid", + "ĠA void", + "ĠAv oid", + "( thread", + "(t hread", + "(th read", + "Ġ RPC", + "ĠR PC", + "ĠRP C", + "_ EXIT", + "_EX IT", + "( queue", + "(q ueue", + "и ÑģÑĤ", + "иÑģ ÑĤ", + "D ll", + "Ġsk ull", + "Ġsku ll", + "_ pub", + "_p ub", + "ch ez", + "che z", + "m inate", + "min ate", + "mina te", + "en sen", + "ens en", + "ense n", + "Ġins ane", + "Ġinsan e", + "b ounds", + "bo unds", + "bound s", + "bou nds", + "ĠR osen", + "ĠRo sen", + "ĠRose n", + "ĠRos en", + "Ġcondition ing", + "process ed", + "proc essed", + "v ideos", + "vid eos", + "video s", + "vide os", + "f our", + "fo ur", + ". Conv", + ".Con v", + ".Co nv", + "| ;Ċ", + "Person al", + "Pers onal", + "Persona l", + "cer pt", + ":UIControlState Normal", + "Ġd oses", + "Ġdo ses", + "Ġdos es", + "Ġdose s", + "ĠK arl", + "ĠKar l", + "ĠKa rl", + "ĠF requ", + "ĠFr equ", + "ĠFre qu", + ". BASE", + ".B ASE", + "Ġ Vote", + "ĠV ote", + "ĠVo te", + "Ġcon current", + "Ġconc urrent", + "ĠMessageBox Icon", + "Ġ Ãĸ", + "Ġà ĸ", + "ĠDu bai", + "ĠDub ai", + "Ġ Retail", + "ĠR etail", + "ĠRe tail", + "ĠRet ail", + ": number", + ":n umber", + ":num ber", + "Ġ Observer", + "ĠOb server", + "ĠObserv er", + "ĠObs erver", + "Ġ BigInteger", + "ĠB igInteger", + "ĠBig Integer", + "ĠBigInt eger", + "_ origin", + "_or igin", + "_orig in", + "_ori gin", + "_ WORK", + "_W ORK", + "F rames", + "Frame s", + "Fr ames", + "Fra mes", + "Ġnot ably", + ". âĢľ", + "Ġt ropical", + "Ġtrop ical", + "Ġn iche", + "Ġni che", + "Ġnic he", + "Ġnich e", + "a mina", + "am ina", + "amin a", + "ami na", + ". sys", + ".s ys", + ".sy s", + "( tokens", + "(t okens", + "(token s", + "(tok ens", + "mod ify", + "o sit", + "os it", + "osi t", + "st rom", + "str om", + "stro m", + "ĠC omics", + "ĠCom ics", + "ĠComic s", + "O PTION", + "OP TION", + "OPT ION", + "T icket", + "Tick et", + "Ti cket", + "Ġf actories", + "Ġfact ories", + "Ġfactor ies", + "Ġfacto ries", + "Ġdis put", + "Ġdisp ut", + "_ File", + "_F ile", + "ĠF inn", + "ĠFin n", + "ĠFi nn", + "e ee", + "ee e", + "ĠDis cord", + "ĠDisc ord", + "ĠDisco rd", + "_ money", + "_m oney", + "_mon ey", + "_mo ney", + ". tpl", + ".t pl", + ".tp l", + "_ safe", + "_s afe", + "_sa fe", + "L B", + "Ġg lut", + "Ġgl ut", + "Ġglu t", + "J K", + ". flow", + ".f low", + ".fl ow", + "- cont", + "-c ont", + "-con t", + "-co nt", + "g os", + "go s", + "Ġhor izon", + "ĠR ush", + "ĠRu sh", + "ĠRus h", + ": :*", + ":: *", + "P ipe", + "Pi pe", + "u lla", + "ul la", + "ull a", + "b orough", + "bo rough", + "bor ough", + "boro ugh", + "he imer", + "heim er", + "hei mer", + "( move", + "(m ove", + "( Text", + "(T ext", + "} );čĊčĊ", + "}) ;čĊčĊ", + "}); čĊčĊ", + "});čĊ čĊ", + "w elcome", + "wel come", + "Ġ Components", + "ĠCom ponents", + "ĠComponent s", + "ĠComp onents", + "Ġgovern ance", + "c losed", + "cl osed", + "close d", + "clo sed", + "ĉ margin", + "ĉm argin", + "Ġla undry", + "Ġ Terminal", + "ĠTerm inal", + "ĠTermin al", + "iz ards", + "izar ds", + "izard s", + ". âĢĶ", + ". remote", + ".rem ote", + ". radius", + ".r adius", + ".rad ius", + "ĠQue bec", + "Ġ dh", + "Ġd h", + "T ech", + "Te ch", + "ĠM ist", + "ĠMi st", + "ĠMis t", + "s eller", + "se ller", + "sel ler", + "sell er", + "_ literal", + "_l iteral", + "_lite ral", + "_lit eral", + "Ġgen ius", + "Ġ brains", + "Ġbr ains", + "Ġbrain s", + "Ġbra ins", + "g em", + "ge m", + "Ġ Measure", + "ĠMe asure", + "Ġcat ast", + "Ġcata st", + "r ance", + "ra nce", + "ran ce", + ". TextField", + ".T extField", + ".Text Field", + "Ġcon suming", + "Ġcons uming", + "Ġconsum ing", + "Ġ'\\ ''", + "Ġ'\\' '", + "oubted ly", + "Ġ Certain", + "ĠC ertain", + "ĠCert ain", + "ĠCer tain", + "E v", + "er ti", + "ert i", + "b eing", + "be ing", + "bei ng", + "Ex perience", + "Ġ //[", + "Ġ// [", + "Ġ/ /[", + "ĠAr abic", + "ĠArab ic", + "ĠAra bic", + "ĠC rist", + "ĠCr ist", + "ĠCri st", + "Ġ Azure", + "ĠA zure", + "ĠAz ure", + "Ġ hora", + "Ġh ora", + "Ġhor a", + "Ġho ra", + "l adesh", + "lad esh", + "\\ Blueprint", + "d ar", + "da r", + ". rel", + ".re l", + ".r el", + "Ġsup rem", + "ĠRe agan", + "Ġ Attributes", + "ĠAt tributes", + "ĠAttribute s", + "- sidebar", + "-s idebar", + "-side bar", + "Ġuse Styles", + "ĠA irlines", + "ĠAir lines", + "Ġh ills", + "Ġhill s", + "Ġhil ls", + "/x html", + "v inc", + "vin c", + "vi nc", + "_ mock", + "_m ock", + "_mo ck", + "Ċ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠP ill", + "ĠPi ll", + "ĠPil l", + ".Layout Style", + "ĠComm ander", + "ĠCommand er", + "] <", + "sign ature", + "sig nature", + "Ġ{ }čĊ", + "Ġ{} čĊ", + "Ġhat red", + "Ġ ëĭ", + "Ġë ĭ", + "ole sterol", + "Ġ ********", + "Ġ* *******", + "Ġ** ******", + "Ġ*** *****", + "Ġ**** ****", + "Ġ***** ***", + "ancel lor", + "ancell or", + "c rop", + "cr op", + "cro p", + "T IM", + "TI M", + "ĉ ĉĊĊ", + "ĉĉ ĊĊ", + "ĉĉĊ Ċ", + "ys qli", + "ysql i", + "u itive", + "uit ive", + "ĉ unset", + "ĉun set", + "_ sel", + "_s el", + "_se l", + "Ġ menus", + "Ġm enus", + "Ġmen us", + "Ġmenu s", + "t ick", + "ti ck", + "tic k", + "Ġcon stitute", + "Ġconstit ute", + "Ġconstitu te", + "Ġ Elements", + "ĠE lements", + "ĠEl ements", + "ĠElement s", + "ĠEle ments", + "ĠElem ents", + "Ġ Redis", + "ĠR edis", + "ĠRe dis", + "ĠRed is", + "ag gio", + "agg io", + "aggi o", + "_ fp", + "_f p", + "_ depend", + "_d epend", + "_de pend", + "_dep end", + "e mas", + "em as", + "ema s", + "C AST", + "CA ST", + "CAS T", + "o range", + "or ange", + "ora nge", + "oran ge", + "orang e", + "j on", + "jo n", + "Ġ Emily", + "ĠEm ily", + "ĠEmil y", + "Ġpot atoes", + "Ġpotato es", + "Ġre ceptor", + "Ġrecept or", + "Ġrecep tor", + "Ġ Electronic", + "ĠElect ronic", + "ĠElectro nic", + "ĠElectron ic", + "Ġ Lights", + "ĠL ights", + "ĠLight s", + "Ġcomb ining", + "Ġcombin ing", + "Ġ Someone", + "ĠSome one", + "Ġ######## .", + "ĠT OD", + "ĠTO D", + "/ show", + "/s how", + "/sh ow", + "X d", + ". \"'", + ".\" '", + "a fx", + "af x", + "Ġtr agic", + "Ġtrag ic", + "St yled", + "Style d", + "Ġ Marco", + "ĠMar co", + "ĠMarc o", + "G allery", + "d ale", + "da le", + "dal e", + ".âĢĿ ĊĊĊĊ", + ".âĢĿĊĊ ĊĊ", + ".âĢĿĊ ĊĊĊ", + "é rie", + "ér ie", + "éri e", + "/ service", + "/s ervice", + "äº Ĩ", + "Ġ ambient", + "Ġamb ient", + "_ SETTINGS", + "_SET TINGS", + "_SETTING S", + ". Adapter", + ".Ad apter", + "l ene", + "le ne", + "len e", + "Ġtravel s", + "Ġtrav els", + "Not ice", + "Ġc leans", + "Ġclean s", + "Ġcle ans", + "ĠF em", + "ĠFe m", + "c hair", + "ch air", + "cha ir", + "chai r", + "Ñĥ н", + "/ my", + "/m y", + "_ bad", + "_b ad", + "ĠE conomics", + "ĠEcon omics", + "ĠEconomic s", + "ĠEconom ics", + "I SA", + "IS A", + "_ CNT", + "_C NT", + "_CN T", + "( Menu", + "(M enu", + "(Me nu", + "äº İ", + "ĠR idge", + "ĠRid ge", + "ĠRi dge", + "Ġlength y", + "Ġleng thy", + "D ot", + "Do t", + "Ġj umps", + "Ġjump s", + "Ġju mps", + "Ġ hey", + "Ġh ey", + "Ġhe y", + "$ pdf", + "$p df", + "Ġ worm", + "Ġw orm", + "Ġwor m", + "Ġwo rm", + "Ġ sut", + "Ġs ut", + "Ġsu t", + "Ġ sher", + "Ġs her", + "Ġsh er", + "Ġshe r", + "i amo", + "ia mo", + "iam o", + "Ġ Calc", + "ĠC alc", + "ĠCal c", + "ĠCa lc", + "t rieve", + "tr ieve", + "trie ve", + "tri eve", + "Ġc ops", + "Ġco ps", + "Ġcop s", + "ĠCh rom", + "ĠChr om", + "Ġ regulated", + "Ġreg ulated", + "Ġregul ated", + "Ġregulate d", + "reat ment", + "Ġ Higher", + "ĠHigh er", + "o ks", + "ok s", + "Ġde ze", + "Ġdez e", + "LOC ATION", + "ongs To", + "Ġ finite", + "Ġf inite", + "Ġfin ite", + "Ġfi nite", + "Ġv aries", + "Ġvar ies", + "Ġvari es", + "Ġva ries", + "Ġposition ed", + "Ġposit ioned", + "' il", + "'i l", + "éĩ ij", + "Ġh ike", + "Ġhi ke", + "Ġhik e", + "( done", + "(d one", + "(do ne", + "play list", + "Ġ ada", + "Ġa da", + "Ġad a", + "Ġcoast al", + "ĠN ancy", + "ĠNa ncy", + "ĠNan cy", + ".DateTime Field", + "Cpp CodeGen", + "Ġ Similarly", + "ĠSimilar ly", + "r eur", + "re ur", + "reu r", + "Ġ Contr", + "ĠCon tr", + "ĠCont r", + "Ġ Hidden", + "ĠH idden", + "ĠHi dden", + "Ġ Beta", + "ĠB eta", + "ĠBe ta", + "ĠBet a", + "at ched", + "atch ed", + "_ install", + "_inst all", + ". Output", + ".Out put", + "Look up", + "ĠRich mond", + "qu ared", + "quare d", + "qua red", + "Ġm anga", + "Ġman ga", + "Ġma nga", + "Ġmang a", + "- controls", + "-control s", + "ĠBer nard", + "ĠBern ard", + "L arge", + "Ġs lices", + "Ġsl ices", + "Ġslice s", + "Ġslic es", + "Ġoff ence", + "Ġoffen ce", + "ĠM ega", + "ĠMe ga", + "ĠMeg a", + "Ġ estar", + "Ġe star", + "Ġes tar", + "Ġest ar", + "Ġesta r", + "Ġj oints", + "Ġjoin ts", + "Ġjo ints", + "Ġjoint s", + "Ġ summ", + "Ġs umm", + "Ġsu mm", + "Ġsum m", + "_ platform", + "_pl atform", + "B uff", + "Buf f", + "Bu ff", + ".add Subview", + "Ġret ained", + "Ġretain ed", + "L etter", + "Let ter", + ". dim", + ".d im", + ".di m", + "Ġess ere", + "Ġesse re", + "ĠS caffold", + "EX PECT", + "EXP ECT", + "ĉ RE", + "ĉR E", + ". longitude", + ".long itude", + "ü nd", + "ün d", + "Ġstat ue", + ". addWidget", + ".add Widget", + "ĠCar ibbean", + "add PreferredGap", + "il de", + "ild e", + "UI Label", + "UIL abel", + "ĠOp port", + "ĠOpp ort", + "Ġim perial", + "Ġimp erial", + "Ġimper ial", + "Ġimpe rial", + "urs ion", + "Ġman date", + "Ġmand ate", + "Ġprom otional", + "Ġpromot ional", + "Ġpromotion al", + "Ġ vk", + "Ġv k", + "ia ÅĤ", + "Ġp yl", + "Ġpy l", + "Ġ Creation", + "ĠC reation", + "ĠCre ation", + "ĠCreat ion", + "о зд", + "оз д", + "Ġsim pler", + "Ġsimple r", + "Ġsimp ler", + "Ġsimpl er", + ". what", + ".w hat", + ".wh at", + "Ġ Recent", + "ĠRe cent", + "ĠRec ent", + "ĠRece nt", + "St orm", + ". quantity", + ".qu antity", + ".quant ity", + "Ġ Lov", + "ĠL ov", + "ĠLo v", + "\" -", + "ub bles", + "ubble s", + "ubb les", + "_ notification", + "_not ification", + "( world", + "(w orld", + "ur ger", + "urg er", + "urge r", + "* (-", + "*( -", + ": \"Ċ", + ":\" Ċ", + "h m", + "an ship", + "ans hip", + "Ġ Almost", + "ĠAl most", + "Ġmotor cycle", + "_ fee", + "_f ee", + "_fe e", + "Ġabs orb", + "Ġabsor b", + "ĠVin cent", + "ĠVince nt", + "Ġs ounded", + "Ġso unded", + "Ġsound ed", + "ÃŃ st", + "ÃŃs t", + "Ġpharm aceutical", + "h tag", + "ht ag", + "hta g", + "ĠK indle", + "ĠKind le", + "ĠKin dle", + "ital ize", + "ĠEm peror", + "ous tic", + "oust ic", + "Ġspecial ists", + "Ġspecialist s", + "åħ ¬", + "Border Style", + "/ \\", + "RE LATED", + "REL ATED", + "(' ,',", + "(', ',", + "(',' ,", + "( expr", + "(ex pr", + "(exp r", + "Ġ ht", + "Ġh t", + "åį Ī", + "_ Create", + "_C reate", + "Ġs pecially", + "Ġspec ially", + "Ġspecial ly", + "Ġspeci ally", + "Ġ [];čĊ", + "Ġ[ ];čĊ", + "Ġ[] ;čĊ", + "Ġ[]; čĊ", + "Ġ heel", + "Ġh eel", + "Ġhe el", + "Ġs ept", + "Ġse pt", + "Ġsep t", + "_ arch", + "_a rch", + "_ar ch", + "_arc h", + "( initial", + "(in itial", + "(init ial", + "% .ĊĊ", + "%. ĊĊ", + "%.Ċ Ċ", + "\\\" ,\\\"", + "\\\", \\\"", + "\\\",\\ \"", + "Ġdisc usses", + "Ġdiscuss es", + "Ġ upt", + "Ġu pt", + "Ġup t", + "Ġ[ &", + "Ġm anus", + "Ġman us", + ". hand", + ".h and", + "Ġ MAIN", + "ĠM AIN", + "ĠMA IN", + "ĠDen mark", + "Ġ ],čĊ", + "Ġ] ,čĊ", + "Ġ], čĊ", + "Ġcr yst", + "Ġcry st", + "Ġn ack", + "Ġna ck", + "Co ords", + "Coord s", + "_ inner", + "_in ner", + "Ġmid st", + "Ġmi dst", + "Ġa wake", + "Ġaw ake", + "Ġ Ðŀ", + "ĠÐ ŀ", + "- break", + "-b reak", + "-bre ak", + "ÃŃ vel", + "ÃŃv el", + "_ PASS", + "_P ASS", + "_PA SS", + "Ġ Params", + "ĠPar ams", + "ĠParam s", + "ĠPa rams", + "ĠPara ms", + "Ġd etr", + "Ġde tr", + "Ġdet r", + "Ġsp ider", + "Ġspi der", + "Ġ Concept", + "ĠCon cept", + "ĠConc ept", + "ĠConce pt", + "Ġ prend", + "Ġp rend", + "Ġpr end", + "Ġpre nd", + "CH ED", + "CHE D", + ". Exit", + ".Ex it", + ".E xit", + "Ġpop ulated", + "Ġpopulate d", + "Ġpopul ated", + "Ġvirt ue", + "_ SESSION", + "_SE SSION", + "Ġnou vel", + "Ġnouve l", + "o auth", + "oa uth", + "Ġд аннÑĭ", + "Ġдан нÑĭ", + "r ink", + "ri nk", + "rin k", + ". HeaderText", + ".Header Text", + "atur ated", + "atura ted", + "atu rated", + "Ġe rst", + "Ġer st", + "Ġers t", + "Ġ åħ", + "Ġå ħ", + "ॠĩ", + "_ visible", + "_v isible", + "_vis ible", + "e yer", + "ey er", + "eye r", + "Ġ liable", + "Ġl iable", + "Ġli able", + "Ġlia ble", + "Ġd ebe", + "Ġde be", + "Ġdeb e", + "Ġ bw", + "Ġb w", + "{- #", + "_ WIN", + "_W IN", + "d fs", + "df s", + "H over", + "Ho ver", + "Ġ PUT", + "ĠP UT", + "ĠPU T", + "- angle", + "-a ngle", + "-an gle", + "Ġn oble", + "Ġno ble", + "Ġnob le", + "Ġtr aces", + "Ġtra ces", + "Ġtrace s", + "en cv", + "enc v", + "Ġ userData", + "Ġuser Data", + "_ ins", + "_in s", + "_i ns", + "ĠS uz", + "ĠSu z", + "Ġnews letters", + "Ġnewsletter s", + "ĠM odi", + "ĠMod i", + "ĠMo di", + "Ġentreprene urs", + "Ġentrepreneur s", + "Ġ tribute", + "Ġtrib ute", + "Ġrum ors", + "Ġrumor s", + "Ġ rr", + "Ġr r", + "Ġ Quarter", + "ĠQu arter", + "ĠQuart er", + "ĠQuar ter", + "ê³ ł", + "Ġ feeds", + "Ġfe eds", + "Ġfeed s", + "Ġfee ds", + "ó g", + "Ġen velope", + "Ġenv elope", + "Ġenvelop e", + "Ġ lear", + "Ġl ear", + "Ġle ar", + "Ġk ø", + "de veloper", + "develop er", + "S imilar", + "Sim ilar", + ": \")Ċ", + ":\" )Ċ", + ":\") Ċ", + "sub scription", + "subs cription", + "Mod ifier", + "it alic", + "ital ic", + "ita lic", + "Ġn asty", + "Ġna sty", + "Ġnas ty", + "Ġnast y", + "Ġ termination", + "Ġter mination", + "Ġterm ination", + "Ġtermin ation", + "Ġch arming", + "Ġchar ming", + "Ġcharm ing", + "Ġ âŁ", + "Ġâ Ł", + "t ons", + "ton s", + "to ns", + ". trace", + ".t race", + ".tr ace", + "h ots", + "ho ts", + "hot s", + "Ġ UR", + "ĠU R", + "M ont", + "Mon t", + "Mo nt", + "Ġjust ified", + "ĠG ang", + "ĠGa ng", + "ĠGan g", + "i nea", + "in ea", + "ine a", + "Ġb og", + "Ġbo g", + "( ap", + "(a p", + "_ $", + "Ġcont amin", + "Ġconta min", + ". Dot", + ".D ot", + ".Do t", + "ĉ Debug", + "( exports", + "(ex ports", + "(exp orts", + "Ġ paired", + "Ġp aired", + "Ġpair ed", + "Ġpa ired", + "Ġpai red", + "Ġ Assignment", + "ĠAss ignment", + "ĠAssign ment", + "Ġauto mobile", + "Ġautom obile", + "ĵ į", + "Ġph ases", + "Ġphase s", + "Ġpha ses", + "v w", + "@ SuppressWarnings", + "= \\", + "r ant", + "ra nt", + "ran t", + "- ed", + "-e d", + "ĉ await", + "ĉa wait", + "Ġcert ificates", + "Ġcertificate s", + "Ġcertif icates", + "' >\"", + "'> \"", + "Ġint act", + "C TRL", + "CT RL", + "CTR L", + "M ike", + "Mi ke", + "g regation", + "greg ation", + "AT TERN", + "ATT ERN", + "ATTER N", + "Ġre public", + "Ġrep ublic", + "_ upper", + "_u pper", + "_up per", + "ili ary", + "iliar y", + "ilia ry", + "Ġcom putation", + "Ġcomp utation", + "Ġcomput ation", + "h ire", + "hi re", + "hir e", + "ĠS hin", + "ĠSh in", + "ĠShi n", + "_ ANY", + "_A NY", + "_AN Y", + "Ġ Manufacturer", + "ĠMan ufacturer", + "ĠManufact urer", + "ĠC arm", + "ĠCar m", + "ĠCa rm", + "Ġbear ings", + "Ġbearing s", + "_ comb", + "_c omb", + "_com b", + "_co mb", + "c ad", + "ca d", + "ur istic", + "Ġwh olesale", + "Ġwhole sale", + "Ġwholes ale", + "Ġd onor", + "Ġdo nor", + "Ġdon or", + ". interfaces", + ".inter faces", + ".interface s", + "pr esso", + "press o", + "pres so", + "Ġ Brun", + "ĠB run", + "ĠBr un", + "ĠBru n", + "- close", + "-c lose", + "-cl ose", + "p rove", + "pr ove", + "pro ve", + "prov e", + "_ SK", + "_S K", + "ĉ frame", + "ĉf rame", + "ĉfr ame", + "et ros", + "etro s", + "etr os", + "ĠP ain", + "ĠPa in", + "ĠPai n", + "_ EXP", + "_E XP", + "_EX P", + "Ġ LT", + "ĠL T", + "_ fs", + "_f s", + ". datas", + ".d atas", + ".data s", + ".dat as", + ".da tas", + "ĉ ss", + "ĉs s", + "v oir", + "vo ir", + "Ġ Axis", + "ĠA xis", + "ĠAx is", + "M ajor", + "= \"<", + "=\" <", + "[ h", + "Ġprof ess", + "Ġprofes s", + "ig rate", + "igr ate", + "( score", + "(s core", + "(sc ore", + "Key word", + "\" os", + "ĠĠ ĠĠĉĊ", + "ĠĠĠĠ ĉĊ", + "ĠĠĠ ĠĉĊ", + "ĠĠĠĠĉ Ċ", + "an alysis", + "analy sis", + "anal ysis", + "Ġre play", + "Ġrep lay", + "Ġrepl ay", + ". pass", + ".p ass", + ".pa ss", + "\\ d", + "t ls", + "tl s", + "Ġsan ct", + ". light", + ".l ight", + ".li ght", + "_ mobile", + "_m obile", + "_mob ile", + "Ñģ ÑĤÑĮ", + "ÑģÑĤ ÑĮ", + "ĉ total", + "ĉt otal", + "ĉto tal", + "u ity", + "ui ty", + "uit y", + "Ġ paused", + "Ġpa used", + "Ġpause d", + "Ġpau sed", + "N AS", + "NA S", + "Ġen core", + "Ġenc ore", + "l oe", + "lo e", + "Ġ-* -ĊĊ", + "Ġ-*- ĊĊ", + "Ġ-*-Ċ Ċ", + ". high", + ".h igh", + "am pler", + "amp ler", + "ample r", + "Ġ Secure", + "ĠS ecure", + "ĠSec ure", + "Ġf ragments", + "Ġfra gments", + "Ġfrag ments", + "Ġfragment s", + "_ vel", + "_v el", + "_ve l", + "ill ary", + "illa ry", + "ĠS tein", + "ĠSt ein", + "ĠSte in", + "ĠD awn", + "ĠDa wn", + "ĠDaw n", + "Ġmax imize", + "Ġmaxim ize", + "ภ¢", + "Ġ /^", + "Ġ/ ^", + "Ġcontin ually", + "Ġcontinu ally", + "Ġcontinual ly", + "Ġsh adows", + "Ġshadow s", + "ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠI ActionResult", + "Ġinform ación", + "C HECK", + "CHE CK", + ". SelectedItem", + ".Selected Item", + "b undle", + "ol ley", + "oll ey", + "olle y", + "< Int", + "<", + "\\\" ><", + "\\\"> <", + "Ġ trajectory", + "Ġtra jectory", + "_ ring", + "_r ing", + "Ġhydro gen", + "Ġhydr ogen", + "t ron", + "tr on", + "tro n", + "Ġstat ute", + "Ġ conditional", + "Ġcondition al", + "Ġcond itional", + "Ġt ray", + "Ġtr ay", + "Ġtra y", + "- school", + "-s chool", + "( widget", + "(w idget", + "$ config", + "$con fig", + "Ġrequest ing", + "Ġrequ esting", + ". uint", + ".ui nt", + ".u int", + "e ton", + "et on", + "eto n", + "br ities", + "brit ies", + "Of Type", + "A DMIN", + "AD MIN", + "ADM IN", + "p redict", + "pre dict", + "pred ict", + "Ġg egen", + "Ġge gen", + "Ġgeg en", + "ĠH app", + "ĠHa pp", + "OC UMENT", + "Ġ Apart", + "ĠA part", + "ĠAp art", + "Ġ -----", + "Ġ- ----", + "Ġ-- ---", + "Ġ---- -", + "Ġ--- --", + "r oe", + "ro e", + "u ide", + "ui de", + "uid e", + "just ify", + "ĠS quad", + "ĠSqu ad", + "Ġprof es", + ". bot", + ".b ot", + ".bo t", + "_ currency", + "_c urrency", + "_curr ency", + "i nnen", + "in nen", + "inn en", + "inne n", + "ĠM umbai", + "ĠMum bai", + "Ġ Numbers", + "ĠNumber s", + "ĠNum bers", + "avana ugh", + "agn itude", + "âĢľ There", + "âĢľThe re", + "= http", + "=h ttp", + "çī ĩ", + "Ġ vb", + "Ġv b", + "+ '{{$", + "\"> {{$", + "\">{{ $", + "\">{ {$", + "Ġ inode", + "Ġin ode", + "Ġi node", + "s il", + "si l", + "Ġh ace", + "Ġha ce", + "Ġhac e", + "Ġsever ely", + "Ġsevere ly", + "Ġ Overview", + "ĠOver view", + "ĠOv erview", + "Ġsp raw", + "Ġspr aw", + "Ġbe aches", + "Ġbeach es", + ": left", + ":l eft", + "· »", + "( ${", + "($ {", + "Ġ FIRST", + "ĠF IRST", + "ĠFIR ST", + "ĠS pa", + "ĠSp a", + "- ass", + "-a ss", + "-as s", + "Ġb aise", + "Ġba ise", + "Ġbais e", + "Ġ NODE", + "ĠN ODE", + "ĠNO DE", + "Ġ Pizza", + "ĠP izza", + "ĠPi zza", + "P et", + "Pe t", + "( seq", + "(s eq", + "(se q", + "\\ \">Ċ", + "\\\" >Ċ", + "\\\"> Ċ", + "CppMethod Pointer", + "Ġ vp", + "Ġv p", + "Ġ ia", + "Ġi a", + "_ seconds", + "_se conds", + "_sec onds", + "_second s", + "e met", + "em et", + "eme t", + "/ blob", + "/b lob", + "/bl ob", + "_TH RESH", + ".. .čĊ", + "... čĊ", + "D est", + "De st", + "Des t", + "Ġ NH", + "ĠN H", + ". dataSource", + ".data Source", + "it és", + "ité s", + "Ġ Jak", + "ĠJ ak", + "ĠJa k", + "s ell", + "se ll", + "sel l", + "Ġwork shops", + "Ġworkshop s", + "< u", + "Ġr ivals", + "Ġrival s", + "Ġri vals", + "Ġriv als", + "ĠEX ISTS", + "h om", + "ho m", + "- token", + "-t oken", + "-to ken", + "com patible", + "compat ible", + ".J Panel", + "Ġphys icians", + "Ġphysician s", + "Ġphysic ians", + "ar tin", + "art in", + "arti n", + "Ġdes irable", + "Ġdistinct ive", + ". Dep", + ".D ep", + ".De p", + "g id", + "gi d", + "il iate", + "ili ate", + "ilia te", + ", max", + ",m ax", + "Ġprem iere", + "Ġpremier e", + "Ġpremi ere", + "Ġq Debug", + "Ġadvoc acy", + "Ġwh isper", + "P t", + "Ġun changed", + "_ qty", + "_q ty", + "请 æ±Ĥ", + "Se ason", + "Sea son", + "ave length", + "avel ength", + "ĠP ul", + "ĠPu l", + "Ġd ÃŃa", + "ĠdÃŃ a", + "'] ]],Ċ", + "']] ],Ċ", + "a lis", + "al is", + "ali s", + "( \"&", + "(\" &", + "b oro", + "bo ro", + "bor o", + "Ġ bm", + "Ġb m", + "Ġ Radi", + "ĠR adi", + "ĠRa di", + "ĠRad i", + "w rong", + "wr ong", + "Ġ Going", + "ĠGo ing", + "ime Type", + "i ji", + "ij i", + "- feedback", + "-fe edback", + "-feed back", + "Ġ Names", + "ĠN ames", + "ĠName s", + "ĠNa mes", + "ĠNam es", + "ĠB apt", + "ĠBa pt", + "Ġpro bable", + "Ġprob able", + "Ġ Ether", + "ĠE ther", + "ĠEth er", + "ĠEt her", + "Ġ Politics", + "ĠPol itics", + "ĠPolit ics", + "_ protocol", + "_prot ocol", + "_proto col", + "l ining", + "li ning", + "lin ing", + "S at", + "Sa t", + "Ġcor rel", + "Ġcorre l", + "Ġcorr el", + ". Primary", + ".Pr imary", + "( nullable", + "(null able", + "RI ORITY", + "Ġcol oring", + "Ġcolor ing", + "Ġutil izing", + "Ġutiliz ing", + "d as", + "da s", + "Ġex ported", + "Ġexp orted", + "Ġexport ed", + "Ġcar riers", + "Ġcarrier s", + "Ġcarr iers", + "Con v", + "Co nv", + ". editor", + ".e ditor", + ".ed itor", + ".edit or", + "i ó", + "( handles", + "(h andles", + "(handle s", + "(hand les", + "Ġapprec iation", + ". import", + ".im port", + ".imp ort", + "ĠA ustria", + "ĠAust ria", + "ĠAustr ia", + "Ġ Strip", + "ĠS trip", + "ĠSt rip", + "ĠStr ip", + "i light", + "il ight", + "ili ght", + "ilig ht", + "Ġappropri ately", + "Ġappropriate ly", + "ĠP rest", + "ĠPr est", + "ĠPres t", + "ĠPre st", + "Ġ Wir", + "ĠW ir", + "ĠWi r", + "Ġ UIApplication", + "ĠUI Application", + "al chemy", + "Ġ Mob", + "ĠM ob", + "ĠMo b", + "Ġ Determin", + "ĠD etermin", + "ĠDe termin", + "ergus on", + "register ed", + "regist ered", + "_ convert", + "_con vert", + "_conv ert", + "ĠVlad imir", + "ĠVladim ir", + ".Show Dialog", + "ref lect", + "Ġs hook", + "Ġsh ook", + "Ġsho ok", + "Ġas sure", + "Ġass ure", + "Ġ Often", + "ĠO ften", + "ĠOf ten", + "Ġcivil ization", + "Ġv ocabulary", + "Ġvocab ulary", + "fore ground", + "Ġ Scope", + "ĠS cope", + "ĠSc ope", + "ĠSco pe", + "Ġun wanted", + "Ġunw anted", + "act ing", + "ac ting", + "Ġ ([]", + "Ġ( []", + "Ġ([ ]", + "Ġm arking", + "Ġmark ing", + "Ġmar king", + ". original", + ".origin al", + ".or iginal", + ".orig inal", + "Ġ MOVE", + "ĠM OVE", + "ĠMO VE", + "ĠMOV E", + "Ġsp orting", + "Ġsport ing", + "Ġspor ting", + "ce ptions", + "ception s", + "cept ions", + "NS Number", + "S izes", + "Size s", + "Si zes", + "Ġpro vincial", + "Ġprovinc ial", + "Ġprovincia l", + "_ Trans", + "_T rans", + "_Tr ans", + "Ġproble matic", + "Ġproblem atic", + "Ġproblema tic", + "Ġprobl ematic", + "d igit", + "di git", + "dig it", + "Ġ Emma", + "ĠE mma", + "ĠEm ma", + "ĠEmm a", + "l ocks", + "lo cks", + "lock s", + "loc ks", + "ĠC rew", + "ĠCr ew", + "ĠCre w", + "i ba", + "ib a", + "' ):", + "') :", + "i sha", + "is ha", + "ish a", + "Ġm amm", + "Ġma mm", + "Ġmam m", + "Ġocc ured", + "Ġoccur ed", + "w cs", + "wc s", + "( rule", + "(r ule", + "Ġmerch andise", + "es pecially", + "ĠT win", + "ĠTw in", + "Ġn aming", + "Ġna ming", + "Ġnam ing", + "Ġs log", + "Ġsl og", + "Ġslo g", + "Ġimpro ves", + "Ġimprove s", + "Ġimpr oves", + "Ġimprov es", + "Ġad her", + ": text", + ":t ext", + ".h adoop", + "_ HTTP", + "_HT TP", + ". toList", + ".to List", + ". disabled", + ".dis abled", + ".disable d", + "Ġl enses", + "Ġlen ses", + "Ġlens es", + ". ini", + ".in i", + ".i ni", + "Ġ Rare", + "ĠR are", + "ĠRa re", + "Ġ Ubuntu", + "ĠUb untu", + "Ġsc ram", + "Ġscr am", + "o lation", + "ol ation", + "ola tion", + "t itulo", + "tit ulo", + "Every thing", + "Ġnod ded", + "icht ig", + "_ constant", + "_con stant", + "_const ant", + "_cons tant", + "z c", + "l ift", + "li ft", + "lif t", + "Ġ Notify", + "ĠN otify", + "ĠNot ify", + "o ndo", + "on do", + "ond o", + "Ġ INF", + "ĠI NF", + "ĠIN F", + "( \"+", + "(\" +", + "ĠK az", + "ĠKa z", + "Ġd read", + "Ġdr ead", + "Ġdre ad", + ". mapper", + ".m apper", + ".map per", + ".ma pper", + "l eur", + "le ur", + "ĠCom ey", + "ĠCo mey", + "ĠCome y", + "Ġ NB", + "ĠN B", + "i cers", + "ic ers", + "ice rs", + "icer s", + ". Push", + ".P ush", + "Ġ Hack", + "ĠH ack", + "ĠHa ck", + "ĠBrazil ian", + "ĠBraz ilian", + "_ prod", + "_p rod", + "_pro d", + "_pr od", + "Ġ //ĊĊ", + "Ġ// ĊĊ", + "Ġ/ /ĊĊ", + "Ġ//Ċ Ċ", + "Ġb icycle", + "Ġbi cycle", + "Ġbicy cle", + "Ġbic ycle", + "Ġun available", + "Ġuna vailable", + "Ġadoles cent", + "b lk", + "bl k", + "Ġmit ig", + "_ blue", + "_b lue", + "_bl ue", + "ì ĺ", + "fade In", + "Ġ Utilities", + "ĠUtil ities", + "ĠUt ilities", + "Ġ MN", + "ĠM N", + "; k", + "< style", + "- status", + "-s tatus", + "-st atus", + "-stat us", + "i ndo", + "in do", + "ind o", + "Ġin nings", + "Ġinn ings", + "Ġinning s", + "Ġg j", + "Ġ| |=", + "Ġ|| =", + ". eu", + ".e u", + ": Number", + ":N umber", + "Ġc uisine", + "Ġcu isine", + "Ġcuis ine", + "ĠURL s", + "i ek", + "ie k", + "Ġw ires", + "Ġwire s", + "Ġwir es", + "Ġwi res", + "ĉ ps", + "ĉp s", + "i eg", + "ie g", + ". mk", + ".m k", + "so ap", + "Ġsome time", + "Ġsom etime", + "Ġs tap", + "Ġst ap", + "Ġsta p", + "_ series", + "_s eries", + "_se ries", + "_ser ies", + ". Target", + ".T arget", + "æ º", + ". destination", + ".d estination", + ".dest ination", + "OUN TER", + "OUNT ER", + "R aises", + "Ra ises", + "Raise s", + "& A", + "Ġsmart phones", + "Ġsmartphone s", + "NI Env", + ". sdk", + ".s dk", + ".sd k", + "Ġhel icopter", + "Ġhelicopt er", + "Ġim pe", + "Ġimp e", + "Ġ Birth", + "ĠB irth", + "ĠBir th", + "A U", + "b readcrumbs", + "breadcrumb s", + "co ords", + "coord s", + "Ġexpl ored", + "Ġexplo red", + "Ġexplore d", + "Ġexplor ed", + "Ġ lod", + "Ġl od", + "Ġlo d", + "Ġ Ip", + "ĠI p", + "g able", + "ga ble", + "i ane", + "ia ne", + "ian e", + "Ġart ifacts", + "Ġartifact s", + "Box Layout", + "ا ر", + "Ø§Ø ±", + "list ener", + "listen er", + "lis tener", + "liste ner", + ". cart", + ".c art", + ".ca rt", + ".car t", + "ĠH uff", + "ĠHu ff", + "ĠHind u", + "ĠHin du", + "ĠData Types", + "ĠDataType s", + "Ġ Drupal", + "ĠDr upal", + "IGN ORE", + "Ġoff sets", + "Ġoffset s", + "Ġoffs ets", + "Ġ RTC", + "ĠR TC", + "ĠRT C", + "- login", + "-lo gin", + "-log in", + "æ ®", + "Ġ QObject", + "ĠQ Object", + "Ġprosec utor", + "R ock", + "Ro ck", + "_ chat", + "_c hat", + "_ch at", + "W ay", + "Wa y", + "ì ²", + "Ġneg lig", + "Ġd ude", + "Ġdu de", + "; <", + "Ġde legates", + "Ġdelegate s", + "Ġdeleg ates", + "_ failed", + "_f ailed", + "_fail ed", + "_fa iled", + "/ dev", + "/d ev", + "/de v", + "/ work", + "/w ork", + "( New", + "(N ew", + "e table", + "et able", + "eta ble", + "( )\"", + "() \"", + "( Icons", + "(I cons", + "Ġp ork", + "Ġpo rk", + "Ġpor k", + "ĠModel AndView", + "Ġ VIP", + "ĠV IP", + "ĠVI P", + "ĠK or", + "ĠKo r", + "m ix", + "mi x", + "Ġ oxid", + "Ġox id", + "Ġ SCREEN", + "ĠS CREEN", + "ĠSC REEN", + "Ġ Fourth", + "ĠFour th", + "/ \",Ċ", + "/\" ,Ċ", + "/\", Ċ", + "Ġ tee", + "Ġt ee", + "Ġte e", + "ĠSte vens", + "ĠSteve ns", + "ĠSteven s", + "t icks", + "ti cks", + "tic ks", + "tick s", + "Ġp ledge", + "Ġpl edge", + "Ġple dge", + "Ġpled ge", + "ib bon", + "Ġ Loan", + "ĠLo an", + "Ġ neo", + "Ġn eo", + "Ġne o", + "n umpy", + "num py", + "Ġ SharedPreferences", + "ĠShared Preferences", + "- oriented", + "ĠLogger Factory", + "Ġ GraphQL", + "ĠGraph QL", + "z enia", + "ze nia", + "zen ia", + "\" _", + "W omen", + "Wo men", + ". cast", + ".c ast", + ".ca st", + "Ġdeliber ately", + "Ġdeliberate ly", + "+ b", + "Ġ Arn", + "ĠA rn", + "ĠAr n", + "font Size", + "Ġ maze", + "Ġm aze", + "Ġma ze", + "Ġmaz e", + "Ġbl amed", + "Ġblame d", + "Ġbla med", + ". mas", + ".m as", + ".ma s", + "} )čĊ", + "}) čĊ", + "eler ik", + "ele rik", + "eleri k", + "Ġsc anning", + "Ġscan ning", + "ĠWork shop", + "ĠWorks hop", + "Ġf inden", + "Ġfind en", + "Ġfin den", + "Ġfinde n", + "Ġc aut", + "Ġca ut", + "UI Font", + "( return", + "(r eturn", + "(re turn", + "(ret urn", + "a lin", + "al in", + "ali n", + "c astle", + "cast le", + "cas tle", + "//// ////////////////////////////////////////////////////////////////////", + "//////// ////////////////////////////////////////////////////////////////", + "//////////////// ////////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////// ////////", + "//////////// ////////////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////////// ////", + "//////////////////////////////////////////////////////// ////////////////", + "//////////////////////////////////////////////////////////// ////////////", + "Ġincent ive", + "Ġincentiv e", + "o path", + "op ath", + "opa th", + "b lob", + "bl ob", + "blo b", + "Ġcigaret te", + "Ġcigar ette", + "Ġf ertil", + "Ġfer til", + "Ġfert il", + "* /ĊĊĊ", + "*/ ĊĊĊ", + "*/Ċ ĊĊ", + "*/ĊĊ Ċ", + "Ġ Shar", + "ĠS har", + "ĠSh ar", + "ĠSha r", + "Ċ ĠĠĠĠĠĠĊ", + "Ġunc ertain", + "Ġuncert ain", + "ĠS ton", + "ĠSt on", + "ĠSto n", + "Oper ations", + "Operation s", + "ĠSp encer", + "Ġde fin", + "Ġdef in", + "Ġ Solo", + "ĠS olo", + "ĠSo lo", + "ĠSol o", + "o nest", + "on est", + "one st", + "ones t", + "·» åĬł", + "Ġu omo", + "Ġuom o", + "G ive", + "Gi ve", + "Ġden tro", + "Ġdent ro", + "; padding", + ";p adding", + "ent ai", + "enta i", + "Ġ Cars", + "ĠC ars", + "ĠCar s", + "ĠCa rs", + "Ġenthus iasm", + "Ġenthusi asm", + "Ġ Operating", + "ĠOper ating", + "ĠOpera ting", + "S kip", + "Sk ip", + "par ation", + "pa ration", + "para tion", + "Ġprot ects", + "Ġprote cts", + "Ġprotect s", + "Ġre ver", + "Ġr ever", + "Ġrev er", + "Ġreve r", + "d g", + "ĠC incinnati", + "Ġconsect etur", + "Ġm uss", + "Ġmus s", + "Ġmu ss", + "employ ed", + "a uses", + "au ses", + "ause s", + "aus es", + "in kle", + "ink le", + ". Values", + ".Value s", + ".Val ues", + "£ ¼", + "l ov", + "lo v", + "_ WARN", + "_W ARN", + "Ġ bookmark", + "Ġbook mark", + "Ġ Apollo", + "ĠA pollo", + "ĠAp ollo", + ". axis", + ".a xis", + ".ax is", + "Ġm ét", + "Ġmé t", + "Ġop ener", + "Ġopen er", + "Ġt umor", + "Ġtu mor", + "Ġtum or", + "d an", + "da n", + "Ġelement ary", + "Ġsk ipped", + "Ġskip ped", + "Ġski pped", + "ĠK er", + "ĠKe r", + "as ia", + "asi a", + "_ resp", + "_re sp", + "_r esp", + "_res p", + "Ġde mol", + "Ġdem ol", + "Ġdemo l", + "ĠCan adians", + "ĠCanadian s", + "Ġt astes", + "Ġtaste s", + "Ġtas tes", + "Ġtast es", + "U Integer", + "UInt eger", + "Ġ' ${", + "Ġ'$ {", + ". aws", + ".a ws", + ".aw s", + "R OID", + "RO ID", + "ROI D", + "r ians", + "ri ans", + "ria ns", + "rian s", + "M Q", + "ord able", + "orda ble", + "Ġcou sin", + "Ġcous in", + "Prop agation", + "( Session", + "(S ession", + "p halt", + "ph alt", + "pha lt", + "U LD", + "UL D", + "Ġ Scalar", + "ĠS calar", + "ĠSc alar", + "ĠScala r", + "ĠScal ar", + "Ġblood y", + "Ġblo ody", + "Ġ à¦", + "Ġà ¦", + ". mask", + ".m ask", + ".mas k", + ".ma sk", + ", q", + "Ġ Units", + "ĠUn its", + "ĠUnit s", + "ĠUni ts", + "Ġcent res", + "Ġcentre s", + "Ġcentr es", + "Ġcen tres", + "Ġ Prim", + "ĠP rim", + "ĠPr im", + "ĠPri m", + ". ]ĊĊ", + ".] ĊĊ", + "ĠSh aw", + "ĠSha w", + "P rom", + "Pro m", + "Pr om", + "Ġ Thought", + "ĠTh ought", + "ĠThough t", + "ĠThou ght", + "Check er", + "Che cker", + "_ outputs", + "_out puts", + "_output s", + "( chan", + "(c han", + "(ch an", + "E INVAL", + "Ġ bob", + "Ġb ob", + "Ġbo b", + "_ cmp", + "_c mp", + "_cm p", + "P ed", + "Pe d", + "Ġmat rices", + "Ġvrou wen", + "Ġvrouw en", + "Ġgenu inely", + "Ġgenuine ly", + "high light", + "( display", + "(d isplay", + "(dis play", + ") !=", + ")! =", + "Ġde licate", + "Ġdel icate", + "Ġdelic ate", + "ĠL uther", + "ĠLu ther", + "ĠM iles", + "ĠMil es", + "ĠMi les", + "ĠMile s", + "Ġ userID", + "Ġuser ID", + "% =", + "at eurs", + "ate urs", + "ateur s", + "_ BUF", + "_B UF", + "_BU F", + "- ------Ċ", + "-- -----Ċ", + "---- ---Ċ", + "--- ----Ċ", + "----- --Ċ", + "------ -Ċ", + "------- Ċ", + "im itives", + "imit ives", + "imitive s", + "Ġsh elves", + "Ġshel ves", + "s low", + "sl ow", + "_ information", + "_in formation", + "L EG", + "LE G", + "W r", + ". forms", + ".for ms", + ".form s", + "c eland", + "ce land", + "cel and", + "cela nd", + "/ un", + "/u n", + ": &", + ". âĢĻĊĊ", + ".âĢĻ ĊĊ", + "= \"%", + "=\" %", + "Ġp rost", + "Ġpro st", + "Ġpr ost", + "Ġpros t", + "Ġ fontsize", + "Ġfont size", + "Ġfonts ize", + "u ción", + "uc ión", + "uci ón", + "g etic", + "get ic", + "ge tic", + "a mt", + "am t", + "= \".", + "=\" .", + "De cor", + "Dec or", + "B rit", + "Br it", + "Ġ\" \").", + "Ġ\"\" ).", + "Ġ\"\") .", + "Ġf ounding", + "Ġfound ing", + "Ġfo unding", + ". FileName", + ".File Name", + "Ġ Tier", + "ĠT ier", + "ĠTi er", + "ĠTie r", + "Ġdis close", + "Ġdisc lose", + "á m", + ". syn", + ".s yn", + ".sy n", + ". ViewHolder", + ".View Holder", + "lic ant", + "li cant", + "lica nt", + "_ stage", + "_st age", + "_sta ge", + "Mon day", + "Ġ deserialize", + "Ġde serialize", + "Ġdes erialize", + "t alk", + "ta lk", + "tal k", + "Ġtrad itionally", + "Ġtraditional ly", + "Ġtradition ally", + "æĢ ģ", + "Ø ®", + "L EX", + "LE X", + "Ġ eh", + "Ġe h", + "ĉ ROM", + "ĉR OM", + "Ġ {})Ċ", + "Ġ{ })Ċ", + "Ġ{} )Ċ", + "Ġ{}) Ċ", + "Question s", + "Quest ions", + "n cpy", + "nc py", + "Ġfix ing", + "Ġfi xing", + "к Ñĥ", + "_ Key", + "_K ey", + ": x", + "Ġ STRING", + "ĠST RING", + "ĠSTR ING", + "ĠÑĦ ай", + "ĉ left", + "ĉl eft", + "ĠB ench", + "ĠBen ch", + "el lij", + "ell ij", + "elli j", + "UR RED", + "URRE D", + "Ġ Diagram", + "ĠDi agram", + "ĠDia gram", + "} catch", + "/ time", + "/t ime", + "Ġ Missing", + "ĠM issing", + "ĠMiss ing", + "ĠMis sing", + "db name", + "Ġs ore", + "Ġso re", + "Ġsor e", + "ĠW alt", + "ĠWal t", + "ĠWa lt", + "ug ging", + "ugg ing", + "re present", + "rep resent", + "Ġ GS", + "ĠG S", + "ne ys", + "ney s", + "ĉ page", + "ĉp age", + "Ġvol can", + "( btn", + "(b tn", + "(bt n", + "Ġexceed s", + "Ġexce eds", + "Ġ erg", + "Ġe rg", + "Ġer g", + "Ġpi lots", + "Ġpil ots", + "Ġpilot s", + "ĠS ed", + "ĠSe d", + "ers ions", + "ersion s", + "Ġp atron", + "Ġpat ron", + "Ġpa tron", + "R V", + "/ top", + "/t op", + "/to p", + ". asset", + ".as set", + "_ cross", + "_c ross", + "_cr oss", + ". Editor", + ".E ditor", + ".Edit or", + ".Ed itor", + ". tb", + ".t b", + "Ġwel coming", + "S CREEN", + "SC REEN", + ") findViewById", + "C oder", + "Code r", + "Co der", + "Cod er", + " \",Ċ", + ">\" ,Ċ", + ">\", Ċ", + "_ Pin", + "_P in", + "u ese", + "ue se", + "ues e", + "Ġ overrides", + "Ġover rides", + "Ġoverride s", + "_ ready", + "_re ady", + "_read y", + "Ad vanced", + "Adv anced", + "Advance d", + "Ġ opi", + "Ġo pi", + "Ġop i", + "- cart", + "-c art", + "-car t", + "-ca rt", + "(\" /\",", + "(\"/ \",", + "ĠD eb", + "ĠDe b", + "C RY", + "CR Y", + "Ġ Vertical", + "ĠVer tical", + "ĠVert ical", + "Ġ OVER", + "ĠO VER", + "ĠOV ER", + "Ġ Corporate", + "ĠCor porate", + "ĠCorpor ate", + "ĠCorp orate", + "Ġ\" \";", + "Ġ\"\" ;", + "Ġstep ping", + "Ġste pping", + "e j", + "Ġaccus ations", + "Ġaccusation s", + "Ġo raz", + "Ġor az", + "Ġora z", + "_ tail", + "_t ail", + "_ta il", + "Ġin duced", + "Ġind uced", + "Ġindu ced", + "Ġinduce d", + "Ġ elastic", + "Ġe lastic", + "Ġel astic", + "Ġelast ic", + "Ġbl own", + "Ġblow n", + "Ġblo wn", + ", //", + ",/ /", + "Ġback grounds", + "Ġbackground s", + "âĢĻ une", + "âĢĻun e", + "- sdk", + "-s dk", + "Ġset Interval", + "Ġincent ives", + "Ġincentive s", + "Ġincentiv es", + "Ġveget able", + "Ġveg etable", + "_ On", + "_O n", + "exp anded", + "expand ed", + "p ix", + "pi x", + "_ shader", + "_sh ader", + "_sha der", + "ĠSP DX", + "ĠSPD X", + "@ example", + "Ġ Wrapper", + "ĠW rapper", + "ĠWr apper", + "ĠWrap per", + ". Zero", + ".Z ero", + "Pos itive", + "Ġ spinner", + "Ġsp inner", + "Ġspin ner", + "Ġin vented", + "Ġinv ented", + "Ġinvent ed", + "ĠG ates", + "ĠGa tes", + "ĠGate s", + "ĠGat es", + "о ÑĤоÑĢ", + "оÑĤ оÑĢ", + "оÑĤо ÑĢ", + "Ġcompar isons", + "Ġcomparison s", + "è ·", + ". primary", + ".pr imary", + "data Provider", + "add itional", + "ĉ options", + "ĉo ptions", + "ĉopt ions", + "ĉoption s", + "s napshot", + "snap shot", + ".set Horizontal", + "Ġ\" {}", + "Ġ\"{ }", + "ĠF isher", + "ĠFish er", + "ĠFi sher", + "h alten", + "hal ten", + "halt en", + "< Type", + "", + "Ġ) ->", + "Ġ Registered", + "ĠRegister ed", + "IN ED", + "INE D", + "k al", + "ka l", + "par ison", + "Ġobj eto", + "Ġobjet o", + "V i", + "m anda", + "man da", + "ma nda", + "mand a", + "Ġren ewed", + "Ġrenew ed", + "ĠS of", + "ĠSo f", + "e ssel", + "es sel", + "ess el", + "esse l", + ".nd array", + "Ġ crap", + "Ġc rap", + "Ġcr ap", + "Ġcra p", + "ç® ¡", + ".abs path", + ".ab spath", + "( up", + "(u p", + "Ġclear ance", + "Ġ TW", + "ĠT W", + "_ COPY", + "_C OPY", + "_CO PY", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĉ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠ Ġĉ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĉ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĉ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĉ", + "Ġfor ests", + "Ġfore sts", + "Ġforest s", + "Ġfores ts", + "Ġarg uably", + "Ġ ASS", + "ĠA SS", + "ĠAS S", + "h ey", + "he y", + "a mel", + "am el", + "ame l", + "_ fore", + "_f ore", + "_for e", + "ĠSouth east", + "ĠSou theast", + "Ġab used", + "Ġabuse d", + "Ġpract icing", + "ake dirs", + "aked irs", + "ä¸ »", + "_ resources", + "_re sources", + "_res ources", + "_resource s", + "Ġ pond", + "Ġp ond", + "Ġpo nd", + "Ġpon d", + ". Fixed", + ".F ixed", + "Last Error", + "ĠPsych ology", + "ĠPsycho logy", + "Ġ\" //", + "Ġ\"/ /", + "! :", + "Re usable", + "Ġ mensaje", + "Ġm ensaje", + "Ġmens aje", + "Ġro spy", + "Ġros py", + "Ġ bour", + "Ġb our", + "Ġbo ur", + "Ġbou r", + "Ġvar ieties", + "Ġvari eties", + "Ġem path", + "Ġemp ath", + "( ({", + "(( {", + "_ org", + "_or g", + "_o rg", + "Ġ Mes", + "ĠM es", + "ĠMe s", + "Ġ Magento", + "ĠM agento", + "ĠMag ento", + "IST ORY", + "Un less", + "Ġh j", + "ĠD uty", + "ĠDu ty", + "ĠDut y", + "J un", + "Ju n", + ", size", + ",s ize", + "Ġpaint ings", + "Ġpain tings", + "Ġpainting s", + "Ġd ispens", + "Ġdisp ens", + "d art", + "da rt", + "dar t", + "Ġbehavior al", + "Ġ rpc", + "Ġr pc", + "Ġrp c", + "c alculate", + "cal culate", + "calc ulate", + "calcul ate", + "f ruit", + "fr uit", + "_ mm", + "_m m", + "ĉ pthread", + "ĉp thread", + "ĉpt hread", + "Max Length", + "Ġc urrencies", + "Ġcurr encies", + "_ capacity", + "_cap acity", + "ĠO z", + "Ġfire arm", + "Ġco efficient", + "Ġcoeff icient", + "Ġbank ruptcy", + "Ġbankrupt cy", + "w art", + "wa rt", + "war t", + "Ġfat igue", + "A VA", + "AV A", + "Ġe spa", + "Ġes pa", + "Ġesp a", + "_ pc", + "_p c", + "Ġ Quotes", + "ĠQu otes", + "ĠQuote s", + "_ LIGHT", + "_L IGHT", + "Ġ Tickets", + "ĠT ickets", + "ĠTicket s", + "ĠTick ets", + "Ġre lates", + "Ġrel ates", + "Ġrelate s", + "Ġrelat es", + "Ġpublish ers", + "Ġpublisher s", + "Ġun locked", + "Ġunlock ed", + "Ġunl ocked", + "Ġ //----------------------------------------------------------------", + "Ġ// ----------------------------------------------------------------", + "Ġ//------------------------------------------------ ----------------", + "Ġ//-------------------------------- --------------------------------", + "Ġ//---------------- ------------------------------------------------", + "Ġ InterruptedException", + "ĠInterrupt edException", + "Ġout look", + "r n", + "Ġreb els", + "Ġrebel s", + "W ritten", + "Wr itten", + "Ġa sian", + "Ġas ian", + "Ġasi an", + "Ġasia n", + "ot to", + "ott o", + "Ġ ĉĉĉĉ", + "Ġĉ ĉĉĉ", + "Ġĉĉ ĉĉ", + "Ġĉĉĉ ĉ", + "_ gpu", + "_g pu", + "_gp u", + "T xt", + "Tx t", + ". ImageView", + ".Image View", + "Ġs uis", + "Ġsu is", + "Ġsui s", + "_ tables", + "_t ables", + "_table s", + "_tab les", + "_ta bles", + ". RecyclerView", + ".Rec yclerView", + "Ġwhat soever", + "è ģ", + "] ++;Ċ", + "assert True", + "_ verify", + "_ver ify", + "ĠR ivers", + "ĠRiver s", + "ĠRiv ers", + "ĠRi vers", + "Ġ ][", + "Ġ] [", + "J et", + "Je t", + "id ian", + "idi an", + "idia n", + "S ibling", + "Si bling", + "Ġ genres", + "Ġgen res", + "Ġgenre s", + ". Access", + ".A ccess", + ".Ac cess", + ".Acc ess", + "O PS", + "OP S", + "Ġtr ivial", + "Ġtrivia l", + "ภª", + "a len", + "al en", + "ale n", + "в ед", + "ве д", + "ĠS word", + "ĠSw ord", + "Ġscrut iny", + "Ġscrutin y", + "( cb", + "(c b", + "Ġ commerce", + "Ġcom merce", + "Ġcomm erce", + "Ġcommerc e", + "Ġguarante es", + "Ġguarantee s", + "_ adv", + "_a dv", + "_ad v", + "Ġ LET", + "ĠL ET", + "ĠLE T", + "re cio", + "rec io", + "Ġh ilar", + "Ġhi lar", + "Ġhil ar", + "Ġback yard", + "ãĢ ı", + "Ġillustr ated", + "Ġillustrate d", + "Ġillust rated", + "/ vendor", + "/v endor", + ". Util", + ".U til", + "Ġ wow", + "Ġw ow", + "Ġwo w", + "LO Y", + "Ġ Marshal", + "ĠM arshal", + "ĠMar shal", + "ĠMars hal", + "ĠMarsh al", + "\" >'.$", + "\"> '.$", + "\">' .$", + "\">'. $", + "ĠB ak", + "ĠBa k", + "Ġ modifiers", + "Ġmod ifiers", + "Ġmodifier s", + "d ictionary", + "ĠS tre", + "ĠSt re", + "ĠStr e", + "m ultiple", + "mult iple", + "multi ple", + "multip le", + "\" )),", + "\") ),", + "\")) ,", + "ĠC ort", + "ĠCo rt", + "ĠCor t", + "' ]\").", + "'] \").", + "( admin", + "(ad min", + "Ġ Creator", + "ĠC reator", + "ĠCre ator", + "ĠCreat or", + "In ternet", + "Int ernet", + "Inter net", + "Intern et", + "( ms", + "(m s", + "l ogy", + "lo gy", + "log y", + "DECL ARE", + "Ġ Marcus", + "ĠMar cus", + "ĠMarc us", + "< <<<", + "<< <<", + "<<< <", + "ãģ ł", + "_ my", + "_m y", + "( inst", + "(i nst", + "(in st", + "(ins t", + "Ġsc iences", + "Ġscience s", + "Ġsci ences", + "N DER", + "ND ER", + ". enter", + ".en ter", + ".ent er", + "Ġ itu", + "Ġit u", + "Ġi tu", + "Ġbe have", + "Ġbeh ave", + "P an", + "Pa n", + "om bies", + "omb ies", + "ombie s", + "= '<", + "=' <", + "' ));čĊ", + "') );čĊ", + "')) ;čĊ", + "')); čĊ", + "Ġ MENU", + "ĠM ENU", + "ĠME NU", + "ĠMEN U", + "Ġ Workers", + "ĠWork ers", + "ĠWorker s", + "ĠWor kers", + ".No Error", + "Ġ bindings", + "Ġbin dings", + "Ġbind ings", + "Ġbinding s", + "Ġdis abilities", + "{ \\", + "ĠM unicip", + "ĠMun icip", + "Ġ cores", + "Ġc ores", + "Ġco res", + "Ġcor es", + "Ġcore s", + "ur ple", + "ĠN okia", + "us ions", + "usion s", + "usi ons", + "Ġ Fitness", + "ĠF itness", + "ĠFit ness", + ". handleChange", + ".handle Change", + "Ġ javascript", + "Ġj avascript", + "Ġjav ascript", + "Ġjava script", + "ìļ Ķ", + "( dec", + "(d ec", + "(de c", + "Ġ packing", + "Ġp acking", + "Ġpack ing", + "Ġpac king", + "- depend", + "-d epend", + "-de pend", + "Ġtrans cript", + "Ġtran script", + "z eros", + "ze ros", + "zer os", + "zero s", + "_ alert", + "_al ert", + "? \",Ċ", + "?\" ,Ċ", + "?\", Ċ", + "l ibs", + "li bs", + "lib s", + "± оÑĤ", + "Ġ |ĊĊ", + "Ġ| ĊĊ", + "Ġ|Ċ Ċ", + "tr ained", + "tra ined", + "train ed", + "ĠG ent", + "ĠGe nt", + "ĠGen t", + "ĠR ab", + "ĠRa b", + "x p", + "_ configuration", + "_config uration", + "å¤ ©", + "_ accept", + "_ac cept", + "_acc ept", + ".rec yclerview", + ": url", + "ĠMu hammad", + "ĠMuham mad", + "Ġpriv ileges", + "Ġprivile ges", + "Ġprivilege s", + "_ bank", + "_b ank", + "u ku", + "uk u", + "w allet", + "wall et", + "wal let", + "Ġ ROOT", + "ĠR OOT", + "ĠRO OT", + "Ġenc uent", + "? family", + "?f amily", + "ĉ position", + "ĉp osition", + "ĉpos ition", + "Ġ cg", + "Ġc g", + "Ġpre cip", + "Ġprec ip", + "method s", + "meth ods", + "_ fast", + "_f ast", + "_fa st", + "in crement", + "inc rement", + "incre ment", + "incr ement", + "ĠT iger", + "ĠTi ger", + "ĠTig er", + "_OCC URRED", + "qu ip", + "qui p", + "Ġ HAS", + "ĠH AS", + "ĠHA S", + "_ dom", + "_d om", + "_do m", + "Ġw reck", + "Ġwr eck", + "Ġwre ck", + "b j", + "Ġd ern", + "Ġde rn", + "Ġder n", + "Ġorg ans", + "Ġorgan s", + ". entries", + ".en tries", + ".ent ries", + "Ġ _('", + "Ġ_ ('", + "Ġ_( '", + "r amento", + "ram ento", + "Ġ Jamie", + "ĠJam ie", + "ĠJa mie", + "Ġ punk", + "Ġp unk", + "Ġpun k", + "Ġpu nk", + "I PP", + "IP P", + "Ġprogram a", + "Ġprog rama", + "Ġat tain", + "Ġatt ain", + "Ġpro ves", + "Ġpr oves", + "Ġprov es", + "Ġprove s", + "/ sign", + "/s ign", + "Ġanswer ing", + "Ġl adder", + "Ġlad der", + "**** ************************", + "******** ********************", + "**************** ************", + "************************ ****", + "******************** ********", + "************ ****************", + "************** **************", + "ĠW almart", + "ĠWal mart", + "Ġ CONTENT", + "ĠCONT ENT", + "d uctor", + "du ctor", + "duct or", + "duc tor", + "Ġver bal", + "Ġverb al", + "Ġ PID", + "ĠP ID", + "ĠPI D", + "c rypto", + "crypt o", + "cry pto", + "_CALL BACK", + "Ġ= ================================", + "Ġ================= ================", + "Ġp otent", + "Ġpo tent", + "Ġpot ent", + "Ġsh orts", + "Ġshort s", + "Ġsho rts", + ". Uri", + ".U ri", + ". uniform", + ".un iform", + ".uni form", + "; border", + ";b order", + "Ġ Wer", + "ĠW er", + "ĠWe r", + "Ġher ein", + "Ġhere in", + "l la", + "ll a", + "ĠI hr", + "ĠIh r", + "P ixmap", + "Pix map", + "l iteral", + "lit eral", + "lite ral", + "liter al", + "! )ĊĊ", + "!) ĊĊ", + "!)Ċ Ċ", + "g eneric", + "gen eric", + "gener ic", + "gene ric", + "r ust", + "ru st", + "rus t", + "_ scripts", + "_s cripts", + "_script s", + "o sto", + "os to", + "ost o", + "it us", + "itu s", + "ĠCoal ition", + "Ġre mot", + "Ġrem ot", + "de ploy", + "dep loy", + "ĠE agle", + "ĠEag le", + "ĠEa gle", + "ãĢģ ãĢĮ", + "Ġimport ante", + "Ġimportant e", + "ĉ object", + "ĉo bject", + "ĉobj ect", + "ĉob ject", + "Ġseason al", + "Ġseas onal", + "n ej", + "ne j", + "ai du", + "aid u", + "Bind View", + "ĠSi erra", + "- bg", + "-b g", + "Ġmake Styles", + "[ offset", + "[o ffset", + "G ames", + "Game s", + "Gam es", + "Ga mes", + "Ġhorm one", + "AR IO", + "ARI O", + "he ads", + "head s", + "hea ds", + "( select", + "(s elect", + "(se lect", + "(sel ect", + "Ġ Started", + "ĠStart ed", + "ĠStar ted", + "@ param", + "_ decl", + "_de cl", + "_dec l", + "_ blog", + "_b log", + "_bl og", + "Ġa ño", + "Ġañ o", + "\\ Api", + "ĠMil waukee", + "Pro vid", + "Pr ovid", + "Prov id", + "An imated", + "Anim ated", + "Animate d", + "Ġco oler", + "Ġcool er", + "Ġ Seed", + "ĠS eed", + "ĠSe ed", + "ĠSee d", + ". Edit", + ".E dit", + ".Ed it", + "Ï Ħ", + "Ġ Taking", + "ĠT aking", + "ĠTa king", + "ĠTak ing", + "Ġborder Color", + "-f ounder", + "-found er", + ".Logger Factory", + "Ġ\" \"ĊĊ", + "Ġ\"\" ĊĊ", + "Ġ\"\"Ċ Ċ", + "A LT", + "AL T", + "Ġ Late", + "ĠL ate", + "ĠLa te", + "ĠLat e", + "EDI ATE", + "EDIA TE", + "Ġ );ĊĊĊ", + "Ġ) ;ĊĊĊ", + "Ġ);Ċ ĊĊ", + "Ġ);ĊĊ Ċ", + "Ġ); ĊĊĊ", + "a fa", + "af a", + "Ġc ancellation", + "Ġcancel lation", + "Ġcancell ation", + "Ġcanc ellation", + "A tom", + "At om", + "ĠB irmingham", + "emp resa", + "empre sa", + "H EMA", + "HE MA", + "a scal", + "as cal", + "asc al", + "asca l", + "Ġup side", + "Ġups ide", + ". Version", + ".V ersion", + "Ġ Folder", + "ĠF older", + "ĠFo lder", + "ĠFol der", + "ĠFold er", + "Ġ Eight", + "ĠE ight", + "ĠEig ht", + "Ġ Vintage", + "ĠV intage", + "Ġ AppDelegate", + "ĠApp Delegate", + "ĠPre vention", + "ĠPrevent ion", + "ĠPrev ention", + ". separator", + ".s eparator", + ".se parator", + "S TM", + "ST M", + "( room", + "(r oom", + "(ro om", + "g enerator", + "gen erator", + "gener ator", + "Ġc attle", + "Ġcat tle", + "ĉ Z", + "Ġ Particle", + "ĠP article", + "ĠPart icle", + "ĠParti cle", + "' };Ċ", + "'} ;Ċ", + "Ġne ighbours", + "Ġneighb ours", + "Ġneighbour s", + "ĠState less", + "ĠStat eless", + "Ġ altitude", + "Ġalt itude", + "Ġs aint", + "Ġsa int", + "Ġsai nt", + "о бав", + "об ав", + "оба в", + "Ġcon vinc", + "Ġconv inc", + "Ġconvin c", + "Ġ Contents", + "ĠCont ents", + "ĠContent s", + "ĠConte nts", + "Ġje une", + "Ġjeu ne", + "( ts", + "(t s", + "S erialization", + "Serial ization", + "( collection", + "(c ollection", + "(col lection", + "(coll ection", + "ĠJ azz", + "ĠJa zz", + "Ġ Dod", + "ĠD od", + "ĠDo d", + "ĠR och", + "ĠRo ch", + "ĠRoc h", + "a cio", + "ac io", + "aci o", + "comm ended", + "commend ed", + "DE FINE", + "DEF INE", + ".on load", + "Ġspecial ty", + "Ġspeci alty", + "PL ACE", + "_ MOVE", + "_M OVE", + "_MO VE", + "_MOV E", + "Ġaccount able", + "Re uters", + "Ġf icken", + "Ġfi cken", + "Ġfic ken", + "Ġfick en", + "Ġde pr", + "Ġdep r", + "W ow", + "Wo w", + "V oid", + "Vo id", + ". space", + ".s pace", + ".sp ace", + "ภĹ", + "Ġt q", + "Ġ Pets", + "ĠP ets", + "ĠPe ts", + "ĠPet s", + "< $", + "( Current", + "(C urrent", + "ber ries", + "plan ation", + "pla nation", + "Ġlist Of", + "Ġ Thu", + "ĠT hu", + "ĠTh u", + "Ġ PRINT", + "ĠPR INT", + "ĠPRI NT", + "Ġm ismo", + "Ġmis mo", + "Ġmism o", + "Ġ doi", + "Ġd oi", + "Ġdo i", + "c hk", + "ch k", + "Ġ Unicode", + "ĠUn icode", + "ĠUni code", + "( role", + "(r ole", + "(ro le", + "Ġvir gin", + "< Point", + "

-->Ċ", + ">- ->Ċ", + ">-- >Ċ", + "V ol", + "Vo l", + "ĠS SD", + "ĠSS D", + ") )),", + ")) ),", + "))) ,", + ". Optional", + ".Option al", + "Ġn urses", + "Ġnur ses", + "Ġnurs es", + "Ġnurse s", + "Ġ orb", + "Ġo rb", + "Ġor b", + "_ pe", + "_p e", + ") ;čĊčĊčĊ", + ");čĊ čĊčĊ", + "); čĊčĊčĊ", + ");čĊčĊ čĊ", + "pl aced", + "place d", + "pla ced", + "es ser", + "ess er", + "esse r", + "Ġther apeutic", + "Ġwh itespace", + "Ġwhite space", + "Ġwhites pace", + "Ġ aston", + "Ġa ston", + "Ġas ton", + "Ġast on", + "Success ful", + "Ġp raised", + "Ġpr aised", + "Ġpraise d", + "Ġpra ised", + "ĠW es", + "ĠWe s", + "Ġe ighth", + "Ġeight h", + "i ral", + "ir al", + "ira l", + "Ġv rouw", + "Ġvrou w", + "Ġ faction", + "Ġf action", + "Ġfact ion", + "Ġfa ction", + "Ġfac tion", + "_ bias", + "_b ias", + "_bi as", + "Ġ witch", + "Ġw itch", + "Ġwit ch", + "Ġ npc", + "Ġn pc", + "Ġnp c", + "( sb", + "(s b", + "ĠRod rig", + "ĠRodr ig", + "_ big", + "_b ig", + "_bi g", + "D ependency", + "Dep endency", + "ĠAb raham", + "ar di", + "ard i", + "C AR", + "CA R", + "n os", + "no s", + "Ġab undance", + "Ġabund ance", + "Ġnut rients", + "Ġnutrient s", + "in stein", + "ins tein", + "inst ein", + ". Vert", + ".V ert", + ".Ver t", + "Ġ ISS", + "ĠI SS", + "ĠIS S", + "< U", + "Ġs ums", + "Ġsu ms", + "Ġsum s", + "_ hist", + "_h ist", + "_hi st", + "Ġfar mer", + "Ġfarm er", + "Ġ Abr", + "ĠA br", + "ĠAb r", + "S hot", + "Sh ot", + "Ġ BadRequest", + "ĠBad Request", + "Ġh ass", + "Ġhas s", + "Ġha ss", + "Ġ Rails", + "ĠR ails", + "ĠRa ils", + "ĠRail s", + "ĠRai ls", + "Ġaff iliated", + "Ġaffili ated", + "Ġaffiliate d", + "æĿ ¥", + "Ġe rf", + "Ġer f", + "I NF", + "IN F", + "Ġ ViewHolder", + "ĠView Holder", + "m ini", + "min i", + "mi ni", + "ĠR oth", + "ĠRo th", + "ĠRot h", + "Ġfaith ful", + "ĠPhill ips", + "ĠPhillip s", + "AN DOM", + "AND OM", + "] .[", + "]. [", + "_ PAY", + "_P AY", + "_PA Y", + "ĠAr ctic", + "ĠArc tic", + "f aker", + "fa ker", + "fake r", + "fak er", + "D igit", + "Di git", + "Dig it", + "M ale", + "Ma le", + "Mal e", + "std err", + "se ys", + "sey s", + "Ġ Å¡", + "ĠÅ ¡", + "_ remote", + "_rem ote", + "l ique", + "li que", + "liqu e", + "Ġin def", + "Ġi ndef", + "Ġind ef", + "Ġinde f", + "ĠIndust ries", + "i tra", + "it ra", + "itr a", + "_ pairs", + "_p airs", + "_pair s", + "_pa irs", + "< iostream", + " D", + "Ġs ervlet", + "Ġserv let", + "bast ian", + "Ġ >&", + "Ġ> &", + "S ID", + "SI D", + "_ clk", + "_c lk", + "_cl k", + "Ġdi visions", + "Ġdiv isions", + "Ġdivision s", + "Ġdivis ions", + "} ',Ċ", + "}' ,Ċ", + "}', Ċ", + "Ġd ildo", + "Ġdil do", + "Ġpar ade", + "Ġpara de", + "Ġpa rade", + "Ġparad e", + "m ajor", + "maj or", + "Ġa board", + "Ġab oard", + "; ++", + "Ġ fusion", + "Ġf usion", + "Ġfus ion", + "\" },{\"", + "\"} ,{\"", + "\"}, {\"", + "ĠDialog Result", + "ĉ arr", + "ĉa rr", + "ĉar r", + "- em", + "-e m", + "_ nr", + "_n r", + "( handler", + "(h andler", + "(handle r", + "(hand ler", + ". NET", + ".N ET", + ".Xtra Reports", + "ĠSh ah", + "ĠSha h", + "Ġ Brief", + "ĠB rief", + "ĠBr ief", + "ĠBri ef", + "- ,", + "Ġ precio", + "Ġp recio", + "Ġpre cio", + "Ġprec io", + "ĉ ĉĉĠĠĠĠĠĠ", + "ĉĉ ĉĠĠĠĠĠĠ", + "ĉĉĉ ĠĠĠĠĠĠ", + "ĉĉĉĠĠĠ ĠĠĠ", + "ĉĉĉĠ ĠĠĠĠĠ", + "ĉĉĉĠĠ ĠĠĠĠ", + "ĉĉĉĠĠĠĠ ĠĠ", + "ĉĉĉĠĠĠĠĠ Ġ", + "Ġ tant", + "Ġt ant", + "Ġta nt", + "Ġtan t", + "ĠGr ande", + "ĠGrand e", + "ĠGran de", + "ĠGra nde", + "/ xml", + "/x ml", + "_ ICON", + "_I CON", + "_IC ON", + "ĠR etro", + "ĠRe tro", + "ĠRet ro", + "un que", + "Ġn ag", + "Ġna g", + "to Fixed", + "X L", + "Ġ declaring", + "Ġdecl aring", + "Ġdeclar ing", + "Ġ Concrete", + "ĠCon crete", + "ĠConc rete", + "Ġ Amazing", + "ĠAm azing", + "ĠAma zing", + "ĉprint k", + "Ġdeb ates", + "Ġdebate s", + "D ATED", + "DA TED", + "DATE D", + "DAT ED", + "Ġa esthetic", + "Ġaest hetic", + "Ġaes thetic", + "eme tery", + "emet ery", + "Routing Module", + "ĠNash ville", + "W AYS", + "WA YS", + "WAY S", + "Ġ wolf", + "Ġw olf", + "Ġwo lf", + "Ġwol f", + "Ġob servers", + "Ġobs ervers", + "Ġobserv ers", + "Ġobserver s", + "Ġobserve rs", + "O TA", + "OT A", + "an son", + "ans on", + "Ġ ea", + "Ġe a", + "Ġgreen house", + "ĵį ä½ľ", + "Ġst air", + "Ġsta ir", + "Ġimm igrant", + "Ġimmigr ant", + "_ apply", + "_app ly", + "_ap ply", + "pe are", + "pear e", + "ĠB loomberg", + "ĠBloom berg", + "_ PLAYER", + "_PL AYER", + "_PLAY ER", + "R esp", + "Re sp", + "Res p", + "æŃ £", + "Choose r", + "Cho oser", + "Ġ ICollection", + "ĠI Collection", + "ĠIC ollection", + "P eter", + "Pe ter", + "Pet er", + "Err o", + "Er ro", + ".detect Changes", + "M aps", + "Map s", + "Ma ps", + "Ġ squeeze", + "Ġs queeze", + "Ġsqueez e", + "ĠH omes", + "ĠHome s", + "ĠHom es", + "ĠHo mes", + "weg ian", + "Ġformat ting", + "Ġnegot iate", + "u ld", + "ul d", + "ĠN ep", + "ĠNe p", + "Ġ QB", + "ĠQ B", + "Ġeconom ies", + "Ġec onomies", + "Ġ */,", + "Ġ* /,", + "Ġ*/ ,", + "Ġred und", + "Ġredu nd", + "ĠA ber", + "ĠAb er", + "ĠAbe r", + ".IsNullOr WhiteSpace", + "yc led", + "ycle d", + "ycl ed", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "_ Sh", + "_S h", + "Ġs kept", + "Ġsk ept", + "Ġske pt", + "Ġre created", + "Ġrec reated", + "Ġrecre ated", + "Ġrecreate d", + "Ġ getType", + "Ġget Type", + "Ġm argins", + "Ġmargin s", + "Ġmarg ins", + "Ġcolon ial", + "ch arts", + "char ts", + "cha rts", + "chart s", + "/ /@", + "// @", + "Ġ processors", + "Ġprocess ors", + "Ġprocessor s", + "Ġprocesso rs", + "è¯ ´", + "b atis", + "bat is", + "æĦ ı", + "at orio", + "ator io", + "ato rio", + "atori o", + "ment ioned", + "mention ed", + "P atient", + "Pat ient", + "Ġp rey", + "Ġpr ey", + "Ġpre y", + "Check box", + "_ xpath", + "_x path", + ". skip", + ".s kip", + ".sk ip", + "ĠMor mon", + "ĠMorm on", + "ĠMemory Stream", + "CR EMENT", + "CRE MENT", + "Ġ ku", + "Ġk u", + "m eld", + "me ld", + "mel d", + "\\ Data", + "\\D ata", + "Ġ Kernel", + "ĠK ernel", + "ĠKer nel", + "ĠKern el", + "i ltr", + "il tr", + "ilt r", + "éĢ ģ", + "( profile", + "(pro file", + "(pr ofile", + "C arbon", + "Car bon", + "R OLE", + "RO LE", + "ROL E", + "( pl", + "(p l", + "] *(", + "]* (", + ". memory", + ".m emory", + ".mem ory", + ".memo ry", + "Ġme dal", + "Ġmed al", + "Ġ advisor", + "Ġad visor", + "Ġadv isor", + "Ġadvis or", + "it ät", + "itä t", + "Ġ hdr", + "Ġh dr", + "Ġhd r", + "ie rung", + "ier ung", + "Ġ Provides", + "ĠPro vides", + "ĠProvid es", + "ĠProvide s", + "ĠProv ides", + "( alpha", + "(al pha", + "Ġteen agers", + "Ġteenager s", + "Ġteenage rs", + "- parser", + "-p arser", + "-par ser", + "-parse r", + ". LatLng", + ".L atLng", + "] ()Ċ", + "]( )Ċ", + "]() Ċ", + "Ġfel ony", + "Ġfelon y", + "ĉĉĉ ĊĉĉĉĊ", + "ĉĉĉĊ ĉĉĉĊ", + "B OOK", + "BO OK", + "Ġ slash", + "Ġs lash", + "Ġsl ash", + "Ġsla sh", + "Ġ clearfix", + "Ġclear fix", + "ĠPro phet", + "ĠProp het", + "å® ¹", + "right ness", + "- fi", + "-f i", + ". kind", + ".k ind", + "er ton", + "ert on", + "erto n", + "J im", + "Ġmanip ulate", + "Ġ worksheet", + "Ġwork sheet", + "Ġworks heet", + "o lin", + "ol in", + "oli n", + "st ars", + "star s", + "sta rs", + "Ġ artifact", + "Ġart ifact", + "_ EMPTY", + "_EM PTY", + "_EMP TY", + "ĉ main", + "ĉm ain", + "--- ---------- ';", + ">' ;", + "Ġexp ressing", + "Ġexpress ing", + "Ġexpres sing", + "Ġ IQ", + "ĠI Q", + "Ġ Fact", + "ĠF act", + "ĠFac t", + "ĠFa ct", + "/************************************************************************ *******Ċ", + "/**************************************************************************** ***Ċ", + "_ mass", + "_m ass", + "_ma ss", + "_mas s", + ") ):", + ")) :", + "Ġcon dom", + "Ġcond om", + "Ġcondo m", + "Ġcreate State", + "ome town", + "omet own", + "Ġi rr", + "Ġir r", + "Ġ >(", + "Ġ> (", + "> B", + "it eration", + "ite ration", + "iter ation", + "ãĥ ª", + "Ġsh irts", + "Ġshirt s", + "ou nty", + "ount y", + "oun ty", + "- >$", + "-> $", + "_ SIGN", + "_S IGN", + "_SIG N", + "_SI GN", + "ĠD ale", + "ĠDa le", + "ĠDal e", + "Ġ jj", + "Ġj j", + "E asy", + "F re", + "Fr e", + "Ġ Ny", + "ĠN y", + "Ġ chlor", + "Ġch lor", + "m atched", + "match ed", + "mat ched", + "ĠG erm", + "ĠGe rm", + "ĠGer m", + "- UA", + "-U A", + "ĠN athan", + "ĠNa than", + "ĠNat han", + "ĠNath an", + "e ducation", + "educ ation", + "edu cation", + "- yard", + "-y ard", + "- che", + "-c he", + "-ch e", + "h ouses", + "ho uses", + "house s", + "hou ses", + "r itional", + "rit ional", + "rition al", + "Ġpro ximity", + "Ġprox imity", + "Ġdie sem", + "Ġdies em", + "Ġdiese m", + "áºŃ p", + "Ġd rought", + "Ġdr ought", + "Ġdro ught", + ". audio", + ".a udio", + ".au dio", + "Ġ Leo", + "ĠL eo", + "ĠLe o", + "Ġfavor able", + "Ġfav orable", + "in ch", + "inc h", + "ĠD aw", + "ĠDa w", + "r ibly", + "rib ly", + "_ student", + "_st udent", + "id able", + "ida ble", + "O VE", + "OV E", + "Ġl acks", + "Ġla cks", + "Ġlack s", + "Ġlac ks", + "oun cing", + "ounc ing", + ". business", + ".b usiness", + ".bus iness", + "Ġ reopen", + "Ġre open", + "m aybe", + "may be", + "_ GLOBAL", + "_G LOBAL", + "Ġd resses", + "Ġdr esses", + "Ġdress es", + "ĠEd wards", + "ĠEdward s", + "ens ible", + "ensi ble", + "Ġ Hardware", + "ĠH ardware", + "ĠHard ware", + "Ġ Excellent", + "ĠEx cellent", + "ĠExcell ent", + "ĠTime Unit", + "CT IONS", + "CTION S", + "Ġs chedules", + "Ġsched ules", + "Ġschedule s", + "Ġ segue", + "Ġse gue", + "Ġseg ue", + "Ġsegu e", + "Open s", + "Op ens", + "am men", + "amm en", + "- Identifier", + "Ġst aring", + "Ġstar ing", + "Ġsta ring", + "Ġhapp ily", + "ĠH ob", + "ĠHo b", + "' _", + "Ġ \");", + "Ġ\" );", + "Ġ\") ;", + "ament os", + "amento s", + "amen tos", + "et ched", + "etch ed", + "etc hed", + "Ġ/ >}Ċ", + "Ġ/> }Ċ", + "Ġ/>} Ċ", + ". Users", + ".User s", + ".Use rs", + "Ġint errupted", + "Ġinter rupted", + "Ġinterrupt ed", + "Cont acts", + "Contact s", + "Conta cts", + "Ġ registro", + "Ġreg istro", + "Ġregistr o", + "Ġregist ro", + "in burgh", + "C HA", + "CH A", + "_ imp", + "_i mp", + "_im p", + "p his", + "ph is", + "phi s", + "s ay", + "sa y", + "Ġret ailer", + "Ġretail er", + ". NODE", + ".N ODE", + ".NO DE", + "/ maps", + "/m aps", + "/map s", + "_ LAST", + "_L AST", + "_LA ST", + "Ġ Charge", + "ĠCh arge", + "ĠChar ge", + "ĠCharg e", + "_ guard", + "_g uard", + "C ollider", + "Col lider", + "Coll ider", + "ĠStateless Widget", + "\" :[\"", + "\": [\"", + "\":[ \"", + "(\" ../../", + "(\"../ ../", + "(\".. /../", + "i oxide", + "iox ide", + "ioxid e", + "ĠS und", + "ĠSun d", + "ĠSu nd", + "Ġ' ';", + "Ġ'' ;", + "un set", + "uns et", + "add Widget", + "л Ñİ", + "el les", + "ell es", + "elle s", + "al ker", + "alk er", + "A rc", + "Ar c", + "Ġd educt", + "Ġde duct", + "Ġded uct", + "G UILayout", + "GUI Layout", + "ĠV illa", + "ĠVi lla", + "ĠVill a", + "ĠVil la", + "Ġfor bidden", + "Ġforb idden", + "Ġforbid den", + "_ where", + "_w here", + "_wh ere", + "Ġ \\/", + "Ġ\\ /", + "ĠT ib", + "ĠTi b", + "_ AX", + "_A X", + "] čĊčĊ", + "]čĊ čĊ", + "Ġ Bir", + "ĠB ir", + "ĠBi r", + "Ġb end", + "Ġbe nd", + "Ġben d", + "Ġ MAKE", + "ĠM AKE", + "ĠMA KE", + "ĠMAK E", + "Ġ MET", + "ĠM ET", + "ĠME T", + "Ġf utures", + "Ġfuture s", + "Ġfut ures", + "Ġfu tures", + "Ġ weighted", + "Ġwe ighted", + "Ġweight ed", + "Ġweigh ted", + "\"\" \"čĊ", + "\"\"\" čĊ", + "Ġ authorize", + "Ġauthor ize", + "( program", + "(p rogram", + "(pro gram", + "(pr ogram", + "(prog ram", + "} ,{\"", + "}, {\"", + "},{ \"", + "Ġcoeff icients", + "Ġcoefficient s", + "ê s", + "Per Page", + "ĠB athroom", + "ĠBath room", + "ĠPublish ing", + "G PL", + "GP L", + "Ġsub missions", + "Ġsubmission s", + "Ġ NUMBER", + "ĠNUM BER", + "ĠNU MBER", + "j Äħ", + "Ġadd itionally", + "Ġadditional ly", + "Ġaddition ally", + "em pre", + "emp re", + "ĠS hel", + "ĠSh el", + "ĠShe l", + "o typ", + "ot yp", + "oty p", + "S olution", + "Sol ution", + "Ġth under", + "Ġthu nder", + "_ ec", + "_e c", + "Ġ ĊĠĠĠĠĊ", + "ĠĊ ĠĠĠĠĊ", + "ĠF ellow", + "ĠFel low", + "ĠFell ow", + "Ġk ay", + "Ġka y", + "Ġnew State", + "ONT AL", + "Im plementation", + "Implement ation", + ". Look", + ".L ook", + ".Lo ok", + "Ġ ents", + "Ġe nts", + "Ġen ts", + "Ġent s", + "Ġl ors", + "Ġlo rs", + "Ġlor s", + "Ġ BIG", + "ĠB IG", + "ĠBI G", + "f ab", + "fa b", + "Ġaverage d", + "Ġaver aged", + "Ġ Feedback", + "ĠFe edback", + "ĠFeed back", + "ĠW ells", + "ĠWell s", + "ĠWel ls", + "Ġm artial", + "Ġmart ial", + "Ġind ul", + "Ġindu l", + "ĠComm unist", + "ĠCommun ist", + "ĠF orex", + "ĠFor ex", + "ĠFore x", + "ĠFo rex", + "ĠAgricult ure", + "ĠAgr iculture", + "\" [", + "Ġqu ar", + "Ġq uar", + "Ġqua r", + "ĠK ont", + "ĠKon t", + "ĠKo nt", + "ĉ view", + "ĉv iew", + ". Bytes", + ".Byte s", + ".By tes", + "d esktop", + "des ktop", + "desk top", + "Ġ Makes", + "ĠM akes", + "ĠMake s", + "ĠMa kes", + "ĠMak es", + "akes peare", + ". Nullable", + ".Null able", + "Ġspot light", + "V B", + "o wy", + "ow y", + "( torch", + "(t orch", + "(to rch", + "t ridge", + "tr idge", + "tri dge", + "_ bounds", + "_b ounds", + "_bound s", + "_bo unds", + "Ġapolog ize", + ". addItem", + ".add Item", + "an td", + "ant d", + "* );Ċ", + "*) ;Ċ", + ", u", + "( gen", + "(g en", + "ç» ĵ", + "re ator", + "reat or", + "rea tor", + "ĠC ord", + "ĠCo rd", + "ĠCor d", + "o upper", + "ou pper", + "oup per", + ". metro", + ".m etro", + ".me tro", + ".met ro", + "Ġ ew", + "Ġe w", + "Ġ WORD", + "ĠW ORD", + ". After", + ".A fter", + "Ġdet ained", + "Ġdetain ed", + "ĠH ammer", + "ĠHam mer", + "ĠHamm er", + "ex isting", + "exist ing", + "Ġ ost", + "Ġo st", + "Ġos t", + "Ġmon ument", + "- custom", + "-c ustom", + "User ID", + "Ġ Nom", + "ĠN om", + "ĠNo m", + "Ġre jection", + "Ġreject ion", + "Ġrej ection", + "( dim", + "(d im", + "(di m", + "Ġ singleton", + "Ġs ingleton", + "Ġsingle ton", + "Ġsing leton", + "ĉ die", + "ĉd ie", + "ar iance", + "ari ance", + "arian ce", + "aria nce", + "re ports", + "rep orts", + "report s", + "repo rts", + "] !=", + "e lda", + "el da", + "eld a", + "Ġpreval ence", + "_ regs", + "_re gs", + "_reg s", + ". \".", + ".\" .", + "Ġfemin ist", + "Code c", + "Co dec", + "Cod ec", + "Ġ **Ċ", + "Ġ* *Ċ", + "Ġ** Ċ", + "( labels", + "(label s", + "_ MARK", + "_M ARK", + "_MA RK", + "FA ILED", + "FAIL ED", + "Ġadminister ed", + "W N", + "ĠĠ ĠĠĠĠĠĠĉĉ", + "ĠĠĠĠ ĠĠĠĠĉĉ", + "ĠĠĠĠĠĠĠĠ ĉĉ", + "ĠĠĠĠĠĠĠ Ġĉĉ", + "ĠĠĠĠĠ ĠĠĠĉĉ", + "ĠĠĠĠĠĠ ĠĠĉĉ", + "ĠĠĠĠĠĠĠĠĉ ĉ", + "Ġ noun", + "Ġn oun", + "Ġno un", + "Ġnou n", + "w ig", + "wi g", + "Ġg otta", + "Ġgot ta", + "Ġ rif", + "Ġr if", + "Ġri f", + "- im", + "-i m", + "ĠPaul o", + "ĠPa ulo", + "ĠCommand Type", + "] ))ĊĊ", + "]) )ĊĊ", + "])) ĊĊ", + "]))Ċ Ċ", + "- zero", + "-z ero", + "Tr aining", + "Train ing", + "Tra ining", + "Ġ lord", + "Ġl ord", + "Ġlo rd", + "Ġlor d", + "_ art", + "_a rt", + "_ar t", + "re ddit", + "red dit", + "redd it", + "C ert", + "Ce rt", + "Ġp eso", + "Ġpe so", + "Ġpes o", + "R ot", + "Ro t", + "Ġen danger", + "Ġend anger", + ". dr", + ".d r", + "user Info", + "u nts", + "un ts", + "unt s", + "n v", + "ĠTr ailer", + "ĠTra iler", + "ĠTrail er", + "- first", + "-f irst", + "-fi rst", + "( make", + "(m ake", + "Ġbenef ici", + "- black", + "-b lack", + "-bl ack", + "i ÃŁ", + "Ġund oubtedly", + "Ġm ex", + "Ġme x", + "ĠAn cient", + "ĠAnc ient", + "( as", + "(a s", + "Ġdes cent", + "Ġdesc ent", + "P ick", + "Pic k", + "Pi ck", + "Ġrep lica", + "Ġrepl ica", + "Ġreplic a", + "$ obj", + "$o bj", + "ä hr", + "äh r", + "Ġar rows", + "Ġarr ows", + "Ġarrow s", + "f ty", + "ft y", + "ĠLib ya", + "u ga", + "ug a", + "ch arged", + "char ged", + "charge d", + "charg ed", + "T ur", + "Tu r", + "Ġh omic", + "Ġhom ic", + "Ġho mic", + "is sen", + "iss en", + "isse n", + "Ġ Fake", + "ĠF ake", + "ĠFa ke", + "ĠFak e", + "Ġbe ers", + "Ġbeer s", + "Ġbee rs", + "Ġsc attered", + "Ġscatter ed", + "( Time", + "(T ime", + "UT IL", + "Ġbureauc r", + "Ġbureau cr", + "/ plain", + "/p lain", + "/pl ain", + "Ġst icking", + "Ġstick ing", + "F AIL", + "FA IL", + "ĠC ovid", + "ĠCo vid", + "ĠCov id", + "Th ird", + "_ present", + "_p resent", + "_pre sent", + "_pres ent", + "ĠP ierre", + "ĠPi erre", + "ĠPier re", + "Ġ ëª", + "Ġë ª", + "Ġ[ ...]ĊĊ", + "Ġ[... ]ĊĊ", + "Ġ[...] ĊĊ", + "P rob", + "Pro b", + "Pr ob", + "Ġ Traffic", + "ĠTra ffic", + "ĠTraff ic", + "i cao", + "ic ao", + "ica o", + "do ctor", + "doc tor", + "Ġ ),ĊĊ", + "Ġ) ,ĊĊ", + "Ġ),Ċ Ċ", + "Ġ), ĊĊ", + "T abs", + "Tab s", + "Ta bs", + "a lu", + "al u", + "ï¼ļ âĢľ", + "Ġin herent", + "Ġinher ent", + "_ No", + "_N o", + "r itis", + "rit is", + "Ġ Proof", + "ĠP roof", + "ĠPro of", + ". basename", + ".b asename", + ".base name", + "ä¼ ļ", + "Ġc him", + "Ġch im", + "Ġchi m", + "Ġ Protected", + "ĠProt ected", + "ĠProtect ed", + "c rit", + "cri t", + "cr it", + "Ġp rone", + "Ġpro ne", + "Ġpr one", + "Ġpron e", + "Ġ кон", + "Ġк он", + "Ġко н", + "Ġ Heroes", + "ĠHer oes", + "ĠHero es", + "Ġan xious", + "Ġanx ious", + "Ġ anos", + "Ġa nos", + "Ġan os", + "Ġano s", + "Ġweek ends", + "Ġweekend s", + "Ġs ext", + "Ġse xt", + "Ġsex t", + "Ġre ducer", + "Ġred ucer", + "Ġredu cer", + "Ġreduce r", + "= UTF", + "h alf", + "ha lf", + "hal f", + "ĠS aw", + "ĠSa w", + ". mm", + ".m m", + "Ġn ueva", + "Ġnu eva", + "Ġnue va", + ".current Target", + ". lua", + ".l ua", + ".lu a", + "_EXT ENSION", + "ĉ reg", + "ĉr eg", + "ĉre g", + "Ġ Ctrl", + "ĠC trl", + "ĠCt rl", + "_ align", + "_al ign", + "accept able", + "Ġr ushing", + "Ġrush ing", + "f rac", + "fr ac", + "fra c", + "Ġbo asts", + "Ġboast s", + "Ġboa sts", + "F ive", + "Fi ve", + " ±", + "Ġ Temperature", + "ĠT emperature", + "ĠTem perature", + "ĠTemper ature", + "> ):", + ">) :", + "Ġch arter", + "Ġchar ter", + "Ġchart er", + "RE ATED", + "REATE D", + "REAT ED", + "REA TED", + "Ġsub jected", + "Ġsubject ed", + "Ġsubj ected", + "Ġ opc", + "Ġo pc", + "Ġop c", + "health y", + "使 çĶ¨", + "ĠScient ific", + "Ġ frau", + "Ġfr au", + "Ġfra u", + "ri ages", + "ria ges", + "riage s", + "ภĶ", + ". inventory", + ".in ventory", + "at ionale", + "ation ale", + "ational e", + "M ad", + "Ma d", + "min utes", + "minute s", + "> >();Ċ", + ">> ();Ċ", + ">>( );Ċ", + ">>() ;Ċ", + "Ġ Env", + "ĠE nv", + "ĠEn v", + "Ġrecord ings", + "Ġrecording s", + "Ġsusp icion", + "sql ite", + "sq lite", + "ĉ read", + "ĉr ead", + "ĉre ad", + "ãģ ¦", + "Ġwor ries", + ".put String", + "ĠSh anghai", + "( uid", + "(u id", + "(ui d", + "r er", + "re r", + "ĠvÃŃ de", + "\" ):", + "\") :", + "Ġmethod ology", + "Ġк оÑĤоÑĢ", + "Ġко ÑĤоÑĢ", + "ĠкоÑĤ оÑĢ", + "c cc", + "cc c", + "av ad", + "ava d", + "Ġin duction", + "Ġind uction", + "Ġindu ction", + "ĉ Thread", + "ĉT hread", + ", string", + ",s tring", + ",str ing", + ",st ring", + "ạ i", + "neh men", + "u ition", + "ui tion", + "uit ion", + "Ġ* __", + "Ġ*_ _", + ".e mf", + ".em f", + "Ġ ìľ", + "Ġì ľ", + "/ themes", + "/th emes", + "/theme s", + "/the mes", + "Ġ Nine", + "ĠN ine", + "ĠNi ne", + "ĠNin e", + ". One", + ".On e", + ".O ne", + "Ġ Embed", + "ĠEm bed", + "ĠEmb ed", + "Ġf az", + "Ġfa z", + "u ations", + "uation s", + "uat ions", + "Ġprivate ly", + "Ġpriv ately", + "Ġprivat ely", + "Ġ ling", + "Ġl ing", + "Ġli ng", + "Ġlin g", + "[ F", + "u shi", + "us hi", + "ush i", + "Ġlaunch es", + "( KEY", + "(K EY", + "G MT", + "GM T", + "Ġa iming", + "Ġaim ing", + "Ġai ming", + "pat ible", + "ĠB iden", + "ĠBi den", + "ĠBid en", + "i w", + "Ġ Degree", + "ĠD egree", + "ĠDe gree", + "ĠDeg ree", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ġ$ ('<", + "Ġ$( '<", + "Ġ$(' <", + "á rios", + "ário s", + "ár ios", + "to UpperCase", + "ìł ľ", + "Ġ EUR", + "ĠE UR", + "ĠEU R", + "Ġovers ight", + "Ġtable sp", + "Ġtables p", + "Up dates", + "Update s", + ".m akedirs", + ".make dirs", + "Ġ humidity", + "Ġh umidity", + "Ġhum idity", + "Ġhumid ity", + "/ template", + "/t emplate", + "/temp late", + "Al ways", + "( IS", + "(I S", + "_ cert", + "_c ert", + "_ce rt", + "D ig", + "Di g", + "Ġunder way", + "or ton", + "ort on", + "ĠHur ricane", + "Ġsp ends", + "Ġspe nds", + "Ġspend s", + "Ġ Segment", + "ĠS egment", + "ĠSe gment", + "ĠSeg ment", + "Ġ flies", + "Ġf lies", + "Ġfl ies", + "Ġ Toggle", + "ĠT oggle", + "ĠL ynch", + "ĠLyn ch", + "Ġs enses", + "Ġsense s", + "Ġsens es", + "Ġsen ses", + "ĠK os", + "ĠKo s", + "set Enabled", + "ist ically", + "istic ally", + "istical ly", + "Ġ tester", + "Ġt ester", + "Ġte ster", + "Ġtest er", + "Ġtes ter", + "Ġteste r", + "Ġadministr ators", + "Ġadministrator s", + "Ġt agged", + "Ġtag ged", + "Ð ĵ", + "Ġ shortcut", + "Ġshort cut", + "Ġ Resolution", + "ĠRe solution", + "ĠRes olution", + "Ġsuper vision", + "Ġsuperv ision", + "ĠAsh ley", + "Tr acking", + "Track ing", + "ul atory", + "ulator y", + "an del", + "and el", + "ande l", + "i sten", + "is ten", + "ist en", + "iste n", + "Ġun re", + "Ġunr e", + "( diff", + "(d iff", + "(di ff", + "AN TS", + "ANT S", + "Ġr ider", + "Ġrid er", + "Ġride r", + "Ġri der", + "Ġs Äħ", + ". Series", + ".S eries", + ".Se ries", + "_ orders", + "_order s", + "_or ders", + "_ord ers", + "ORIZ ONTAL", + "Ġret ention", + "ãĢĤ čĊčĊ", + "\"> čĊčĊ", + "\">čĊ čĊ", + "Ġdi agonal", + "Ġdiag onal", + "Ġdiagon al", + "ĠC ancellationToken", + "_ Internal", + "_In ternal", + "_Int ernal", + "_Inter nal", + "Ġr uin", + "Ġru in", + ". Qt", + ".Q t", + "ocr atic", + "ocrat ic", + "T el", + "Te l", + "Ġ Answers", + "ĠAn swers", + "ĠAnswer s", + "ĠAns wers", + "m atic", + "ma tic", + "mat ic", + "Ġ xp", + "Ġx p", + "a tem", + "at em", + "ate m", + "_ jobs", + "_j obs", + "_job s", + "_ any", + "_a ny", + "_an y", + "Ġsen iors", + "Ġsenior s", + "Ġseni ors", + "Ġland mark", + "ĠQ List", + "Ġman eu", + "Ġmane u", + "ot ify", + "oti fy", + "/ \";Ċ", + "/\" ;Ċ", + "/ server", + "/s erver", + "ĠPhil osoph", + "u tenant", + "ut enant", + "ute nant", + "uten ant", + "( io", + "(i o", + "h z", + "Ġ authenticated", + "Ġauth enticated", + "Ġauthentic ated", + "Ġauthenticate d", + "d v", + "- Compatible", + "Origin ally", + "Original ly", + "Orig inally", + ", function", + ",f unction", + "ãĢĤ čĊ", + "ĠRepresent ative", + "as ily", + "asi ly", + "asil y", + "irc uit", + ". dt", + ".d t", + "( math", + "(m ath", + "(mat h", + ". Marshal", + ".M arshal", + ".Mar shal", + "[ ,", + "Ġ Cities", + "ĠC ities", + "ĠCit ies", + "ĠCi ties", + "_ turn", + "_t urn", + "| )Ċ", + "Ġ cantidad", + "Ġc antidad", + "Ġcant idad", + "al ter", + "alt er", + "alte r", + "ĉ ui", + "ĉu i", + "ĠNe braska", + "Ġsk irt", + "Ġski rt", + ". bg", + ".b g", + "Shared Preferences", + "( style", + "(st yle", + "Ġg rief", + "Ġgr ief", + "Ġgri ef", + "g ew", + "ge w", + "Ġsaf eg", + "Ġsafe g", + "o lang", + "ol ang", + "ola ng", + "olan g", + "_ lists", + "_l ists", + "_list s", + "_li sts", + "ì Ľ", + "Ġgran ite", + "Ġgra nite", + "Ġhot test", + "Ġhott est", + ". jdbc", + ".j dbc", + ".jd bc", + ". Customer", + ".C ustomer", + ".Custom er", + "Ġ âī¤", + "Ġâī ¤", + "Ġw aar", + "Ġwa ar", + "_ scene", + "_s cene", + "_sc ene", + "+ '/", + "+' /", + "ĠJ TextField", + "ĠJText Field", + "ĠJT extField", + "Ġs eating", + "Ġse ating", + "Ġsea ting", + "Ġseat ing", + "Ġw ears", + "Ġwe ars", + "Ġwear s", + "Ġ` /", + "C ases", + "Case s", + "Ca ses", + "Cas es", + "Ġ Youtube", + "ĠY outube", + "ĠYou tube", + "ı m", + "Ġb alcon", + "Ġbal con", + ", G", + "Meta Data", + "Met aData", + "- price", + "-p rice", + "-pr ice", + "S CR", + "SC R", + "Un ity", + "Unit y", + "Uni ty", + "Ġtr unk", + "={ `${", + "={` ${", + "Ġearth quake", + "Ġearthqu ake", + "P artial", + "Part ial", + "Ġ subst", + "Ġsu bst", + "Ġsub st", + "Ġsubs t", + "Ġel imin", + "Ġelim in", + "=\" '.", + "=\"' .", + "//* [@", + "//*[ @", + "Ġsup ervisor", + "Ġsuper visor", + "Ġsuperv isor", + "vr olet", + "vro let", + "_ article", + "_art icle", + "Ġ pane", + "Ġp ane", + "Ġpa ne", + "Ġpan e", + "b io", + "bi o", + "Ġmot ors", + "Ġmo tors", + "Ġmotor s", + "Ġmoto rs", + "N M", + "F rank", + "Fr ank", + "Fran k", + "Fra nk", + "Ġon ion", + "- word", + "-w ord", + "Item ClickListener", + "ItemClick Listener", + "Ġ brit", + "Ġb rit", + "Ġbr it", + "Ġbri t", + "end encies", + "enden cies", + "Com puter", + "Comp uter", + "Compute r", + "Comput er", + "_ running", + "_r unning", + "_run ning", + "( day", + "(d ay", + "(da y", + "- he", + "-h e", + "( named", + "(n amed", + "(name d", + "ĠS ach", + "ĠSa ch", + "ĠSac h", + "о Ñĩ", + "c ampaign", + "camp aign", + ". Abstract", + ".A bstract", + ".Ab stract", + ".Abs tract", + "( wrapper", + "(w rapper", + ". pay", + ".p ay", + ".pa y", + "Ġ uw", + "Ġu w", + "G eo", + "Ge o", + "r ails", + "ra ils", + "rai ls", + "rail s", + "/ select", + "/s elect", + "/se lect", + "i chte", + "ic hte", + "ich te", + "icht e", + "s ons", + "so ns", + "son s", + "E VENT", + "EV ENT", + "Ġal iment", + "Ġali ment", + "Pro viders", + "Provider s", + "Provid ers", + "Provide rs", + "Prov iders", + "A wait", + "Aw ait", + "_INTER VAL", + ". off", + ".of f", + ".o ff", + "Ġgl uten", + "Ġglut en", + "Ġglu ten", + "_ cloud", + "_c loud", + "_cl oud", + "Ġ wen", + "Ġw en", + "Ġwe n", + ". extract", + ".ex tract", + ".ext ract", + ".extra ct", + "ĉ button", + "ĉb utton", + "/ MM", + "/M M", + "P arty", + "Par ty", + "Part y", + "Ġdem ographic", + "Ġdemo graphic", + "_ errno", + "_err no", + "Ġh iking", + "Ġhi king", + "Ġhik ing", + "(' ')Ċ", + "\", @\"", + "Ġ wit", + "Ġw it", + "Ġwi t", + "r á", + "ol ogie", + "olog ie", + "olo gie", + "ologi e", + "Ġ Styles", + "ĠSt yles", + "ĠStyle s", + "ĠSty les", + "ĠBrowser Module", + ". RequestMapping", + ".Request Mapping", + "ic ans", + "ica ns", + "ican s", + "P AGE", + "PA GE", + "c reation", + "cre ation", + "creat ion", + "ĠF erguson", + "u ded", + "ud ed", + "ude d", + "num bers", + "number s", + "Ġ GTK", + "ĠG TK", + "ĠGT K", + "Ġpresent ations", + "Ġpresentation s", + "ĠB obby", + "ĠBob by", + "_ span", + "_s pan", + "_sp an", + "e style", + "est yle", + "esty le", + "Ġillegal ly", + "Ġilleg ally", + "ab ela", + "abel a", + "abe la", + "Ġbattle field", + "cap acity", + "t error", + "ter ror", + "te rror", + "terr or", + "] \");Ċ", + "]\" );Ċ", + "]\") ;Ċ", + "Ġwar rior", + "le ader", + "lead er", + "lea der", + "Ġ DBG", + "ĠD BG", + "ĠDB G", + "Ġ Revenue", + "ĠRe venue", + "Ġvi gil", + "Ġvig il", + "Ġcounter parts", + "Ġcounterpart s", + "( Error", + "(E rror", + "AC TER", + "ACT ER", + "Ġhe eft", + "Ġse lections", + "Ġselect ions", + "Ġselection s", + "Ġsel ections", + "Ġsele ctions", + "ze ug", + "t om", + "to m", + "- two", + "-t wo", + "-tw o", + ". ;Ċ", + ".; Ċ", + "_ statement", + "_st atement", + "_state ment", + "_stat ement", + "_sta tement", + "ĠA id", + "ĠAi d", + "ĠV ul", + "ĠVu l", + "_ rgb", + "_r gb", + "_rg b", + "Ġpr izes", + "Ġpri zes", + "Ġprize s", + "Ġ editable", + "Ġed itable", + "Ġedit able", + "Ġedi table", + "ĉ form", + "ĉf orm", + "ĉfor m", + "ın ı", + ". decor", + ".de cor", + ".dec or", + "D emo", + "De mo", + "Dem o", + "l ices", + "lic es", + "li ces", + "lice s", + "Ġen ctype", + "Ġenc type", + "rat ulations", + "Ġ ROS", + "ĠR OS", + "ĠRO S", + "_ chars", + "_ch ars", + "_char s", + "ĠJ ahr", + "ĠJa hr", + "ĠJah r", + "p artial", + "part ial", + "Ñĥ ÑĤ", + "Ġ Receive", + "ĠRe ceive", + "ĠRece ive", + "ĠL ands", + "ĠLa nds", + "ĠLand s", + "ĠLan ds", + "AP TER", + "APT ER", + "Ġch opped", + "Ġcho pped", + "Ġchop ped", + ". .\"", + ".. \"", + "Ġ Analy", + "ĠAn aly", + "ĠAnal y", + "ĠAna ly", + "Ġ UID", + "ĠU ID", + "ĠUI D", + "ĠR adeon", + "ĠRad eon", + "ĠB ee", + "ĠBe e", + "Ġu nm", + "Ġun m", + "> M", + ".find all", + "Token izer", + "Ġ WHAT", + "ĠWH AT", + "Ġ sj", + "Ġs j", + "D rawing", + "Draw ing", + "E ss", + "Es s", + "O ND", + "ON D", + "Ĭ ¶", + "( packet", + "(p acket", + "(pa cket", + "(pack et", + "âĢĶ but", + "Inv ocation", + "ĠN uclear", + "ĠNu clear", + "? ;Ċ", + "Ġgr andes", + "Ġgrand es", + "Ġgran des", + "Ġgrande s", + "Ġ Crypt", + "ĠC rypt", + "ĠCry pt", + "r emark", + "re mark", + "rem ark", + "rema rk", + "Ġ' ../../../../", + "Ġ'../ ../../../", + "Ġ'../../ ../../", + "Ġ'../../../ ../", + "Ġin ability", + "m agic", + "mag ic", + "c ats", + "ca ts", + "cat s", + "Ġ simulate", + "Ġsim ulate", + "Ġsimul ate", + ": ${", + ":$ {", + "in flate", + "inf late", + "Ġ ener", + "Ġe ner", + "Ġen er", + ": NO", + ":N O", + "i ples", + "ip les", + "iple s", + "ipl es", + "Ġme rit", + "Ġmer it", + "Ġ Rated", + "ĠR ated", + "ĠRa ted", + "ĠRate d", + "ĠRat ed", + "Ġg lue", + "Ġgl ue", + "Ġglu e", + "/ blog", + "/b log", + "/bl og", + "Ġ gren", + "Ġg ren", + "Ġgr en", + "Ġgre n", + "Ġthr illed", + "Ġthrill ed", + ". CH", + ".C H", + "un can", + "unc an", + "unca n", + "Ġ PRIMARY", + "ĠPR IMARY", + "ĠPRI MARY", + "Ġper sec", + "Ġpers ec", + "Ġperse c", + "Ġfe ared", + "Ġfear ed", + ". MIN", + ".M IN", + "ĠThe ater", + "é Ĵ", + "ateg orie", + "ategor ie", + "ategori e", + "atego rie", + "æ® µ", + "Ġappet ite", + "s quare", + "squ are", + "ĠAlex and", + "ĠAlexa nd", + ". UserId", + ".User Id", + "_ gt", + "_g t", + "_ enter", + "_en ter", + "_ent er", + "Ġgrad uates", + "Ġgraduate s", + "Ġgradu ates", + "Fragment Manager", + "Author ize", + "-N LS", + "( My", + "(M y", + "Ġtri umph", + "Ġtrium ph", + "us ting", + "ust ing", + "ustin g", + "_PARAM S", + "_PAR AMS", + "Char acters", + "Character s", + "(: ,:,", + "(:, :,", + "_ BUILD", + "_B UILD", + "_BU ILD", + "M Hz", + "MH z", + "Ġw ashed", + "Ġwas hed", + "Ġwa shed", + "Ġwash ed", + "Ġun cle", + "Ġunc le", + "St eve", + "Ste ve", + "ar down", + "ard own", + "ardo wn", + "< stdio", + " ${", + ">$ {", + "_ confirmation", + "_confirm ation", + "Ġt rophy", + "Ġtr ophy", + "Ġtro phy", + "Ġtrop hy", + "W orks", + "Work s", + "ĠElect ronics", + "ĠElectronic s", + "ĠElectron ics", + "ĠMediterr anean", + "_ metrics", + "_m etrics", + "_metric s", + "_met rics", + "Ġann ouncing", + "Ġannounc ing", + "Ġ DAY", + "ĠD AY", + "ĠDA Y", + "_ proto", + "_pro to", + "_pr oto", + "_prot o", + "Ġ pear", + "Ġp ear", + "Ġpe ar", + "Ġpea r", + "base Url", + "ĉ ĉĉĉĉĉĉĉĊ", + "ĉĉ ĉĉĉĉĉĉĊ", + "ĉĉĉĉ ĉĉĉĉĊ", + "ĉĉĉ ĉĉĉĉĉĊ", + "ĉĉĉĉĉ ĉĉĉĊ", + "ĉĉĉĉĉĉ ĉĉĊ", + "ĉĉĉĉĉĉĉĉ Ċ", + "ĉĉĉĉĉĉĉ ĉĊ", + "Ġco ordination", + "Ġcoord ination", + "Ġcoordin ation", + ": N", + ". animate", + ".an imate", + ".anim ate", + "ĠC otton", + "ĠCot ton", + "_ hit", + "_h it", + "_hi t", + "â ľ", + "Ġj etzt", + "Ġjet zt", + "i fter", + "if ter", + "ift er", + "( fields", + "(f ields", + "(field s", + "own load", + "ific acion", + "ifica cion", + ". cuda", + ".c uda", + "ĠL iu", + "ĠLi u", + "> equals", + ">e quals", + "Ġ Ace", + "ĠA ce", + "ĠAc e", + "ÑĢ ам", + "ÑĢаР¼", + "ÑĢа м", + "ĠSup erman", + "ĠSuper man", + "ĠGar cia", + "ĠGarc ia", + "Ġarr ests", + "Ġarrest s", + "a gar", + "ag ar", + "aga r", + "Ġ {})", + "Ġ{ })", + "Ġ{} )", + "Ġ macros", + "Ġmac ros", + "Ġmacro s", + "ro upe", + "rou pe", + "roup e", + "ê tre", + "êt re", + "Ġtw isted", + "Ġtwist ed", + "str uments", + "strument s", + "stru ments", + "_ (\"", + "_( \"", + "_ vertices", + "_vert ices", + "Ġ Transition", + "ĠT ransition", + "ĠTrans ition", + "ĠTransit ion", + "и к", + "[ max", + "[m ax", + "m ind", + "min d", + "mi nd", + "Ġ accessToken", + "Ġaccess Token", + "Ġun le", + "Ġunl e", + "m us", + "mu s", + "c op", + "co p", + "Ġ Factor", + "ĠF actor", + "ĠFac tor", + "ĠFa ctor", + "ĠFact or", + "Ġcon ced", + "Ġconc ed", + "Ġconce d", + "Ġre tr", + "Ġr etr", + "Ġret r", + ".l inalg", + ".lin alg", + "- slider", + "-s lider", + "-slide r", + "-sl ider", + "o bl", + "ob l", + "_Static Fields", + "Ġz ombie", + "s elling", + "sel ling", + "sell ing", + "Ġ chap", + "Ġc hap", + "Ġch ap", + "Ġcha p", + "Ġsh aking", + "Ġsha king", + "Ġ Translate", + "ĠTrans late", + "ĠAm sterdam", + "Ġ ETH", + "ĠE TH", + "ĠET H", + "_ EXTERN", + "_EX TERN", + "_EXT ERN", + "k d", + "_ disc", + "_d isc", + "_dis c", + "_di sc", + "Ġprec eding", + "Ġpreced ing", + "Ġ prix", + "Ġp rix", + "Ġpr ix", + "Ġpri x", + "Object Name", + "_ modified", + "_mod ified", + "ard ware", + "Ġ?> \">", + "Ġ?>\" >", + "Ġ DW", + "ĠD W", + "` ${", + "Ġ?> \">\" >\"> \">< ?", + "u yen", + "uy en", + "uye n", + "Ġd onna", + "Ġdon na", + "Ġdonn a", + "Ġx si", + "Ġxs i", + "Ġ$ \"{", + "Ġ$\" {", + "Ġ Drawing", + "ĠD rawing", + "ĠDraw ing", + "ĠDra wing", + ", nil", + ",n il", + "Ġ onder", + "Ġo nder", + "Ġon der", + "Ġonde r", + "B G", + "O bserv", + "Ob serv", + "Obs erv", + "Ġconsider ations", + "Ġconsideration s", + "bo at", + "boa t", + "ĠB anks", + "ĠBank s", + "ĠBan ks", + "Ġin dict", + "Ġind ict", + "Ġindic t", + ", I", + "ĠB lu", + "ĠBl u", + "( version", + "(v ersion", + "cl iente", + "client e", + "cli ente", + "o lan", + "ol an", + "ola n", + "L ESS", + "LE SS", + "LES S", + "assert Same", + "_ void", + "_v oid", + "ĠW AS", + "ĠWA S", + "ĉ enum", + "ĉe num", + "ĉen um", + "Ġm ixer", + "Ġmix er", + "E W", + "a ffe", + "af fe", + "aff e", + "Ġblow job", + "t extField", + "text Field", + "Ġimm ense", + "_ repo", + "_re po", + "_rep o", + "Ġ globals", + "Ġg lobals", + "Ġglobal s", + "Ġglob als", + "ant ages", + "anta ges", + "antage s", + ". today", + ".t oday", + ".to day", + "Th ursday", + "ĠB rig", + "ĠBr ig", + "ĠBri g", + "{ })Ċ", + "{} )Ċ", + "{}) Ċ", + "Ġ Imagine", + "ĠIm agine", + "ĠImag ine", + "( GPIO", + "(G PIO", + "Ġ esto", + "Ġe sto", + "Ġes to", + "Ġest o", + "Ġ Province", + "ĠPro vince", + "ĠProv ince", + "ĠM ental", + "ĠMen tal", + "ĠMent al", + "_ cells", + "_c ells", + "_cell s", + "ĠJul ian", + "ĠJu lian", + "ĠJulia n", + "ĠJuli an", + ". Screen", + ".S creen", + ".Sc reen", + "Ġc andle", + "Ġcan dle", + "Ġcand le", + "Ġm onde", + "Ġmon de", + "Ġmo nde", + "Ġmond e", + "Ġv erg", + "Ġver g", + "Ġve rg", + "it erals", + "iter als", + "iteral s", + "- layout", + "-l ayout", + "G uest", + "Gu est", + "Ġv ind", + "Ġvi nd", + "Ġvin d", + "Ġ Echo", + "ĠE cho", + "ĠEc ho", + "' )}", + "') }", + "Ġ mann", + "Ġm ann", + "Ġman n", + "Ġma nn", + "_ BOOLEAN", + "_BO OLEAN", + "h ap", + "ha p", + "Ġnight mare", + "U GH", + "UG H", + "Ġnon etheless", + "Ġnone theless", + "Ġ athe", + "Ġa the", + "Ġat he", + "Ġath e", + "ĠH olland", + "ĠHol land", + "ĠHo lland", + "ĠHoll and", + "Ġ Born", + "ĠB orn", + "ĠBo rn", + "ĠBor n", + "\\ ORM", + "a nut", + "an ut", + "_ levels", + "_level s", + "Ġpet ite", + "Ġpetit e", + "- art", + "-a rt", + "-ar t", + "_ SHOW", + "_S HOW", + "_SH OW", + "number Of", + "_ thumbnail", + "_th umbnail", + "a mins", + "am ins", + "amin s", + "ami ns", + "Ġ Defines", + "ĠDef ines", + "ĠDefine s", + "Ġ\" =", + ". StatusCode", + ".Status Code", + "Ġdign ity", + "ĠB ike", + "ĠBi ke", + "ĠBik e", + ".New Line", + "ĠG las", + "ĠGl as", + "( logger", + "(log ger", + "(lo gger", + "Ġc atches", + "Ġcatch es", + "Ġcat ches", + "v otes", + "vo tes", + "vote s", + "Ġexam ining", + "/ register", + "/reg ister", + "Ġspec ifying", + "Ġspecify ing", + "_ fixed", + "_f ixed", + "_fix ed", + "Ġdraw ings", + "Ġdrawing s", + "Th reshold", + "A x", + "Ġ Architecture", + "ĠArch itecture", + "ĠArchitect ure", + "( pid", + "(p id", + "(pi d", + "W ire", + "Wir e", + "Wi re", + "( cont", + "(c ont", + "(con t", + "(co nt", + "l ane", + "la ne", + "lan e", + "L ists", + "List s", + "Li sts", + "Ġs print", + "Ġsp rint", + "Ġspr int", + "Ġgrand father", + "_ AG", + "_A G", + "Ġs cheduling", + "Ġsched uling", + "CL US", + "CLU S", + "at urity", + "atur ity", + "Ġ locking", + "Ġl ocking", + "Ġloc king", + "Ġlock ing", + "[ size", + "[s ize", + "_ styles", + "_st yles", + "_style s", + "Ġ wb", + "Ġw b", + "-- >ĊĊ", + "-->Ċ Ċ", + "--> ĊĊ", + "Ġsp inning", + "Ġspin ning", + "_ pending", + "_p ending", + "_pen ding", + "Match ers", + "Mat chers", + "Matcher s", + ". Keys", + ".Key s", + "Ġ PV", + "ĠP V", + "en us", + "enu s", + "ant is", + "anti s", + "Ġ discard", + "Ġd iscard", + "Ġdis card", + "Ġdisc ard", + "Ġ haul", + "Ġh aul", + "Ġha ul", + "Ġem pir", + "Ġemp ir", + "Ġpath way", + "Ġo ak", + "Ġoa k", + "м ен", + "ме н", + "-in duced", + "-ind uced", + "Ġim pair", + "Ġimp air", + "ĠCal gary", + ".is Hidden", + "d z", + "_ include", + "_in clude", + "_inc lude", + "Ġ gm", + "Ġg m", + "Ġ' ('", + "Ġ'( '", + "P Y", + "uggest ions", + "uggestion s", + "Ġcom modity", + "Ġcommod ity", + "c ro", + "cr o", + "/ sub", + "/s ub", + "Ġ getInstance", + "Ġget Instance", + "Ġ Legacy", + "ĠLeg acy", + "ĠK il", + "ĠKi l", + "B al", + "Ba l", + "( short", + "(s hort", + "(sh ort", + "In form", + "Info rm", + "Inf orm", + "+ x", + "* r", + "Ġ Hopefully", + "ĠHope fully", + "ĠHop efully", + "o rate", + "or ate", + "ora te", + "Ġm achen", + "Ġma chen", + "Ġmach en", + "Ġmac hen", + "Ġtreat y", + "Ġtre aty", + "ĠO ri", + "ĠOr i", + ". public", + ".p ublic", + ".pub lic", + "- horizontal", + "-h orizontal", + "Ġt actic", + "Ġta ctic", + "Ġtact ic", + "Ġtac tic", + "Ġb ord", + "Ġbo rd", + "Ġbor d", + "w ares", + "ware s", + "wa res", + "war es", + "Ġ ammo", + "Ġa mmo", + "Ġam mo", + "Ġ Lists", + "ĠL ists", + "ĠList s", + "ĠLi sts", + "ĠLis ts", + "Ġequ ations", + "Ġeq uations", + "Ġequation s", + "/ her", + "/h er", + "/he r", + "ĠN SW", + "ĠNS W", + "B ounding", + "Bo unding", + "Bound ing", + "_ Collections", + "_C ollections", + "Ġ avail", + "Ġa vail", + "Ġav ail", + "Ġava il", + ". DropDown", + ".Drop Down", + "è °", + "Ġ hh", + "Ġh h", + "Ġl Ãł", + ". pb", + ".p b", + "Ġmem orial", + "Ġmemor ial", + "Ġmemo rial", + "Ġmemoria l", + "Ġ ATTR", + "ĠAT TR", + "ĠATT R", + "Ġexhaust ed", + "Ġt sp", + "Ġts p", + "ĉ redirect", + "ĉre direct", + "Ġlike wise", + "Ġlik ewise", + "S TER", + "ST ER", + "STE R", + "L java", + "Ġcondem ned", + "Ġcondemn ed", + "oca ust", + "( strict", + "(str ict", + "Ġex empt", + "Ġexem pt", + "Ġexemp t", + "Ġ sms", + "Ġs ms", + "Ġsm s", + "Ġex agger", + "S YS", + "SY S", + "Ġl ounge", + "Ġlo unge", + "Ġlou nge", + "Ġloung e", + ": ^", + "Ġt odd", + "Ġto dd", + "Ġtod d", + "d eb", + "de b", + "at orial", + "ator ial", + "ato rial", + "atori al", + "atoria l", + "ĠPort er", + "ĠPor ter", + "Ġt uition", + "Ġtu ition", + "Ġex empl", + "Ġexem pl", + "Ġexe mpl", + "Ġexemp l", + "Ġ paren", + "Ġp aren", + "Ġpar en", + "Ġpa ren", + "Ġpare n", + ".line To", + "Ġkid ney", + "Ġki dney", + "Ġkidn ey", + "Ġ ça", + "Ġç a", + "Ġc ui", + "Ġcu i", + "ï¼Į 请", + "X C", + "Ġmo ż", + "Ġn ominated", + "Ġno minated", + "Ġnom inated", + "Ġnomin ated", + "Ġnominate d", + "l ung", + "lu ng", + "lun g", + "Im Gui", + "Ġ Buzz", + "ĠB uzz", + "ĠBu zz", + "Ġst ereo", + "Ġste reo", + "Ġster eo", + "Ġstere o", + "p ortal", + "port al", + "por tal", + "res as", + "resa s", + "Ġ klass", + "Ġk lass", + "Ġkl ass", + "Ġkla ss", + "Ġklas s", + "Ġd rafted", + "Ġdraft ed", + "Ġproject ile", + "/g pl", + "( parameters", + "(param eters", + "(parameter s", + "* )Ċ", + "*) Ċ", + "Ġass isted", + "Ġassist ed", + "Ġ NSInteger", + "ĠNS Integer", + "s itemap", + "site map", + "sit emap", + ": nth", + ":n th", + ". Views", + ".View s", + ".Argument Parser", + "Ġ meer", + "Ġm eer", + "Ġme er", + "Ġmee r", + "z ier", + "zi er", + "zie r", + "Ġ Dig", + "ĠD ig", + "ĠDi g", + "Ċ", + ")} >Ċ", + ")}> Ċ", + "Ġp lag", + "Ġpl ag", + "Ġpla g", + "p ine", + "pi ne", + "pin e", + "Ġblank et", + "Ġ : -", + "Ġ lcd", + "Ġl cd", + "Ġlc d", + "- --------------", + "-- -------------", + "---- -----------", + "-------- -------", + "--- ------------", + "------------ ---", + "----- ----------", + "---------- -----", + "------ ---------", + "----------- ----", + "------------- --", + "------- --------", + "--------- ------", + "-------------- -", + "( \"\"", + "(\" \"", + "Ġt actical", + "Ġtact ical", + "Ġtactic al", + "Ġtac tical", + "ĠR onald", + "ĠRon ald", + "ex tr", + "ext r", + "ĠF est", + "ĠFe st", + "Ġf uer", + "Ġfu er", + "Ġfue r", + "- navigation", + "-n avigation", + "-nav igation", + "Ġ kb", + "Ġk b", + "g host", + "gh ost", + "Ġ handleChange", + "Ġhandle Change", + "_ cls", + "_c ls", + "_cl s", + "( )!=", + "() !=", + "Com parator", + "Compar ator", + ". vm", + ".v m", + "ĠC ox", + "ĠCo x", + "_ review", + "_re view", + "_r eview", + "_rev iew", + "/ @", + "_ cookie", + "_c ookie", + "_co okie", + "Ġrecogn ised", + "Ġrecognise d", + "l dap", + "ld ap", + "lda p", + "Th reads", + "Thread s", + "ĠS exual", + "ĠSex ual", + "ĠB earing", + "ĠBe aring", + "ĠBear ing", + "ĠBea ring", + "( SQL", + "(S QL", + "Ġ xr", + "Ġx r", + "Ġt high", + "Ġth igh", + "Ġthi gh", + "URL Connection", + "ĠS UV", + "ĠSU V", + "Ġm Context", + "Ġinc idence", + "Ġincid ence", + "Ġ Este", + "ĠE ste", + "ĠEs te", + "ĠEst e", + ". sup", + ".s up", + "_ te", + "_t e", + "( EXIT", + "(EX IT", + "C MD", + "CM D", + "/ \">", + "/\" >", + "Al most", + "Ġ Une", + "ĠU ne", + "ĠUn e", + "Ġand eren", + "Ġandere n", + "Ġander en", + "Ġ Singleton", + "ĠS ingleton", + "ĠSing leton", + "ĠSingle ton", + "Ġb ore", + "Ġbo re", + "Ġbor e", + "Th ink", + "Thin k", + "Ġn arc", + "Ġna rc", + "Ġnar c", + "] initWith", + "]init With", + "_ shop", + "_s hop", + "_sh op", + "( strategy", + "(str ategy", + "! ',", + "!' ,", + "her its", + "herit s", + "Ġ Desk", + "ĠD esk", + "ĠDe sk", + "ĠDes k", + "_ machine", + "_m achine", + "_ma chine", + ".n etty", + ".net ty", + ".ne tty", + "ı nda", + "ın da", + "ınd a", + "= <", + "Ġ QR", + "ĠQ R", + "Ġ Sidebar", + "ĠS idebar", + "ĠSide bar", + ".split Container", + "Ġon Success", + "Ġ monkey", + "Ġmon key", + "Ġmonk ey", + "En joy", + "( nodes", + "(n odes", + "(node s", + "(no des", + "pect rum", + "Ġ (*(", + "Ġ( *(", + "Ġ(* (", + "ĉ UINT", + "ĉU INT", + "ĉUI NT", + ", height", + ",h eight", + "ĠNetwork s", + "ĠNet works", + ". tail", + ".t ail", + ".ta il", + ".l inspace", + ".lin space", + "Ġ \"...", + "Ġ\" ...", + "Ġ\". ..", + "Ġ\".. .", + "L isten", + "List en", + "Li sten", + "Æ ¡", + ". Channel", + ".Ch annel", + "- defined", + "-d efined", + "-def ined", + "Re peat", + "Rep eat", + "ad just", + "adj ust", + "E RM", + "ER M", + "_ application", + "_app lication", + "_ap plication", + ".assert NotNull", + ".assertNot Null", + "- stream", + "-st ream", + "-str eam", + "Ġ rabbit", + "Ġr abbit", + "Ġrab bit", + "Ġposition ing", + "Ġ woke", + "Ġw oke", + "Ġwo ke", + "Ġf ing", + "Ġfin g", + "Ġfi ng", + "Ġmulti player", + "Ġmultip layer", + "Ġregister ing", + "Ġregist ering", + "un til", + "unt il", + "Ã¥ n", + "( ::", + "(: :", + "uss ions", + "ussion s", + "Ġpot ato", + "Ġ Equals", + "ĠE quals", + "ĠEqu als", + "ĠEqual s", + ". Sup", + ".S up", + "/ apache", + "/ap ache", + "Ġ (=", + "Ġ( =", + ". \")", + ".\" )", + ". ptr", + ".p tr", + ".pt r", + "Ġ Speech", + "ĠS peech", + "ĠSpe ech", + ". clip", + ".c lip", + ".cl ip", + ".cli p", + "ĠGab riel", + "ĠGabri el", + "Ġmus ician", + "Ġmusic ian", + "/ issues", + ". shop", + ".s hop", + ".sh op", + "Ġ Hier", + "ĠH ier", + "ĠHi er", + "_ RET", + "_RE T", + "_R ET", + "_ bucket", + "_b ucket", + "ãĥ ¡", + "a vs", + "av s", + "Ġ roz", + "Ġr oz", + "Ġro z", + "f lower", + "fl ower", + "flow er", + "flo wer", + "Write Barrier", + "ĠM ilan", + "ĠMil an", + "ĠMi lan", + "Ġlegisl ature", + "ĠD oll", + "ĠDo ll", + "ĠDol l", + "Ġpro ving", + "Ġpr oving", + "Ġprov ing", + ".concat enate", + "âķ IJ", + "Ġg char", + "Ġgc har", + "cdn js", + "b les", + "ble s", + "bl es", + "Ġ Listing", + "ĠL isting", + "ĠList ing", + "ĠLis ting", + "л о", + ".xr Label", + "ĠS ak", + "ĠSa k", + "just ice", + "ju stice", + "ĠVal entine", + "ĠValent ine", + "un less", + "Ġp iger", + "Ġpi ger", + "Ġpig er", + "Ġpige r", + "( run", + "(r un", + "Ġtest ified", + "A NA", + "AN A", + "ĠRe moves", + "ĠRem oves", + "ĠRemove s", + ") )));Ċ", + ")) ));Ċ", + "))) );Ċ", + ")))) ;Ċ", + "rec ated", + "ĠRuntime Method", + "Ġcon qu", + "ãĤ ¢", + "Ġt issues", + "Ġtissue s", + "a iler", + "ail er", + "ai ler", + "é té", + "ét é", + "- Star", + "-S tar", + "-St ar", + "Ġfl ames", + "Ġflame s", + "Ġflam es", + "Ġfla mes", + ". setIcon", + ".set Icon", + "Ġsup ern", + "Ġsuper n", + "Ġv agina", + "Ġvag ina", + "- variable", + "-var iable", + "Ġwell ness", + "C UR", + "CU R", + "Ġb elle", + "Ġbe lle", + "Ġbel le", + "Ġbell e", + ". getRequest", + ".get Request", + "Ġp oco", + "Ġpo co", + "Ġpoc o", + "b enh", + "be nh", + "ben h", + "a gens", + "ag ens", + "age ns", + "agen s", + "Ġs pill", + "Ġsp ill", + "Ġspi ll", + "Ġ Jur", + "ĠJ ur", + "ĠJu r", + "Ġ dispatcher", + "Ġdispatch er", + "Ġdisp atcher", + "н ого", + "но го", + "ног о", + "e monic", + "em onic", + "emo nic", + "emon ic", + "( dirname", + "(dir name", + "Ġ ÐĶ", + "ĠÐ Ķ", + "Ġp asse", + "Ġpass e", + "Ġpas se", + "Ġpa sse", + "Ġg anz", + "Ġga nz", + "Ġgan z", + "r icing", + "ri cing", + "ric ing", + "E U", + "Ġmuj eres", + "Ġmujer es", + "es sen", + "ess en", + "esse n", + ". attribute", + ".at tribute", + ".attrib ute", + "j j", + "ĉ ĉĠĊ", + "ĉĉ ĠĊ", + "ĉĉĠ Ċ", + "[ ^", + "Ġ strtolower", + "Ġstr tolower", + "Ġstrtol ower", + "lex er", + "ect ar", + "ec tar", + "ecta r", + "h otel", + "ho tel", + "hot el", + ". square", + ".s quare", + "Ġr all", + "Ġra ll", + "Ġl owered", + "Ġlow ered", + "Ġlower ed", + "handle d", + "hand led", + "M arket", + "Mark et", + "Mar ket", + "Ġ Uses", + "ĠU ses", + "ĠUs es", + "ĠUse s", + "i vas", + "iv as", + "iva s", + ". Business", + ".B usiness", + ".Bus iness", + "ãģĹ ãģ¦", + "ãģĹãģ ¦", + "D IV", + "DI V", + "Ġw asted", + "Ġwas ted", + "Ġwa sted", + "Ġwaste d", + "Ġwast ed", + "Ġa voir", + "Ġav oir", + "ê m", + "_ ACCOUNT", + "_AC COUNT", + "_ACC OUNT", + ". et", + ".e t", + "ĉ SDL", + "ĉS DL", + "k ap", + "ka p", + "Ġ fox", + "Ġf ox", + "Ġfo x", + "up pet", + "upp et", + "uppe t", + "{ },Ċ", + "{} ,Ċ", + "{}, Ċ", + "\" ,'", + "\", '", + "F avorite", + "P END", + "PE ND", + "Ġ AES", + "ĠA ES", + "ĠAE S", + "} ),", + "}) ,", + "Ġde duction", + "Ġded uction", + "Ġdeduct ion", + "Ġpol ÃŃt", + "Ġcomponent Will", + "ĠT elerik", + "ĠTele rik", + "_ SELF", + "_SE LF", + "_SEL F", + "Ġm use", + "Ġmus e", + "Ġmu se", + "C raft", + "Cr aft", + "Ġ dens", + "Ġd ens", + "Ġde ns", + "Ġden s", + "ठ¿", + "( tp", + "(t p", + "Ġt asty", + "Ġta sty", + "Ġtas ty", + "Ġtast y", + "Ġ balances", + "Ġbalance s", + "Ġbal ances", + "Ġded ication", + "Ġdedic ation", + "Ġdedi cation", + "ĠWall ace", + "ĠWal lace", + "Ġun law", + "Ġunl aw", + "\\ \">\\", + "\\\" >\\", + "\\\"> \\", + "Ġm um", + "Ġmu m", + "- update", + "-up date", + "e mente", + "em ente", + "ement e", + "eme nte", + "emen te", + "Ġs oda", + "Ġso da", + "Ġsod a", + "Re public", + "Rep ublic", + "as mine", + "asm ine", + "é ric", + "ér ic", + "éri c", + "( Status", + "(S tatus", + "ĠJson Convert", + "Ġ Disk", + "ĠD isk", + "ĠDis k", + "ĠDi sk", + ". Redirect", + ".Re direct", + ".Red irect", + "Ġfil ming", + "Ġfilm ing", + "/ mol", + "/m ol", + "R o", + "Ġ ville", + "Ġv ille", + "Ġvi lle", + "Ġvill e", + "Ġvil le", + "Ġtr abaj", + "Ġtrab aj", + "Ġs ynthesis", + "Ġsyn thesis", + "Ġsynth esis", + "Ġsynthes is", + "r ega", + "re ga", + "reg a", + "Ġ rl", + "Ġr l", + "S cheduler", + "Schedule r", + "ISH ED", + "current User", + "( errors", + "(err ors", + "(error s", + "(er rors", + "' h", + "_ bot", + "_b ot", + "_bo t", + "x imo", + "xi mo", + "Ġ USART", + "ĠUS ART", + "ĠUSA RT", + "_ super", + "_s uper", + "_sup er", + "_su per", + "_ DECREF", + "_DEC REF", + "н ой", + "но й", + "_ ROW", + "_R OW", + "_RO W", + "Ġprom otes", + "Ġpromote s", + "Ġpromot es", + "Ġpromo tes", + "Ġ TA", + "ĠT A", + "Ġh oras", + "Ġhor as", + "Ġho ras", + "Ġhora s", + "ĠRep resents", + "ĠRepresent s", + "Ġ nameof", + "Ġname of", + "Ġnam eof", + "Ġ Exc", + "ĠE xc", + "ĠEx c", + "ĠGar age", + "ĠGa rage", + "Ġse ine", + "Ġsein e", + "Ġsei ne", + ", #", + "Ġh erb", + "Ġhe rb", + "Ġher b", + "/ resources", + "/re sources", + "/res ources", + "/resource s", + "Ġple aded", + "Ġplea ded", + "Ġplead ed", + ".r adioButton", + ".radio Button", + "Ġ æĺ", + "Ġæ ĺ", + "O ps", + "Op s", + "ĠN est", + "ĠNe st", + "ĠNes t", + "c string", + "cs tring", + "ĠDef ence", + "Ġref ere", + "Ġrefer e", + "_ leaf", + "_le af", + "Ġreve lation", + "Ġrevel ation", + "ë §", + ".execute Update", + "_W ORLD", + "Ġexp ans", + "(\" \\\"", + "(\"\\ \"", + "j ab", + "ja b", + "Ġdoub ts", + "Ġdoubt s", + "Ġ Geometry", + "ĠGe ometry", + "ĠGeo metry", + "Ġintrodu ces", + "Ġintroduce s", + "Ġsen ators", + "Ġsenator s", + "Ġc anal", + "Ġcan al", + "Ġca nal", + ". helper", + ".h elper", + ".help er", + "ĠB iology", + "ĠBi ology", + "ĠBio logy", + "ĠBiol ogy", + "_ SENS", + "_S ENS", + "_SE NS", + ". previous", + ".pre vious", + ".prev ious", + "- touch", + "-t ouch", + "-to uch", + "a bit", + "ab it", + "abi t", + "Ġimp acted", + "Ġimpact ed", + "Ġbr ackets", + "Ġbracket s", + ". direct", + ".d irect", + ".dir ect", + ".di rect", + "ac cum", + "acc um", + "Ġtest osterone", + "ĉ action", + "ĉa ction", + "ĉac tion", + "ĉact ion", + "Ġ Chance", + "ĠCh ance", + "ĠCha nce", + "ĠChan ce", + "Ġpe aks", + "Ġpeak s", + "Ġpea ks", + "CppCodeGen WriteBarrier", + "Ġun belie", + "Ġunbe lie", + "_ press", + "_p ress", + "_pr ess", + "_pre ss", + "_pres s", + ". Rel", + ".R el", + ".Re l", + "ang led", + "angle d", + "angl ed", + "/ templates", + "/t emplates", + "/template s", + "/temp lates", + "-- >čĊ", + "--> čĊ", + "l ime", + "li me", + "lim e", + "Ġsufficient ly", + "_ nt", + "_n t", + "Exp and", + ".is file", + "Ġ isEmpty", + "Ġis Empty", + "Ġ qt", + "Ġq t", + "Ġmul her", + "a cob", + "ac ob", + "aco b", + "Ge orge", + "å¸ ¸", + "Ġas sim", + "Ġass im", + "a so", + "as o", + "Ġcompr ised", + "Ġcomprise d", + "O V", + "( CONFIG", + "(CON FIG", + "ĉ writer", + "ĉw riter", + "ĉwrite r", + "Ġd esp", + "Ġde sp", + "Ġdes p", + "Ġten ure", + "( cr", + "(c r", + ". pool", + ".p ool", + ".po ol", + "ĠB rend", + "ĠBr end", + "ĠBre nd", + "ĠBren d", + "Ġc ensor", + "( timeout", + "(time out", + "Ġp lea", + "Ġpl ea", + "Ġple a", + ". Wrap", + ".W rap", + "Ġt ightly", + "Ġtight ly", + "Ġ Were", + "ĠW ere", + "ĠWe re", + "ĠWer e", + "Ġ Ignore", + "ĠI gnore", + "ĠIgn ore", + "ĠIg nore", + "a bei", + "ab ei", + "abe i", + "Ġbr idges", + "Ġbridge s", + "Ġbrid ges", + "Ġcondem n", + "Ġsimp licity", + "Ġsimpl icity", + "Ġrout inely", + "Ġroutine ly", + "Ġbl acks", + "Ġblack s", + "Ġbla cks", + "j b", + "ĠP it", + "ĠPi t", + "U tf", + "Ut f", + "Ġ /Ċ", + "Ġ/ Ċ", + "r eload", + "re load", + "rel oad", + "Ġset Object", + "/ global", + "/g lobal", + "Ġf atty", + "Ġfa tty", + "Ġfat ty", + "Ġfatt y", + "Ġs ocks", + "Ġso cks", + "Ġsock s", + "Ġsoc ks", + "Could n", + "Ġerot isk", + "æĿ ¡", + "Ġ Pressure", + "ĠPres sure", + "ĠPress ure", + "ĠM az", + "ĠMa z", + "n pos", + "np os", + "to lower", + "tol ower", + "Ġ EQ", + "ĠE Q", + "ut eur", + "ute ur", + "Ġ Moment", + "ĠM oment", + "ĠMo ment", + "ĠMom ent", + "Ġ eta", + "Ġe ta", + "Ġet a", + "{{ --", + "Ġ graphs", + "Ġgraph s", + "Ġgrap hs", + "ĠG uar", + "ĠGu ar", + "r ine", + "ri ne", + "rin e", + "( --", + "(- -", + "Ġ HttpStatus", + "ĠHttp Status", + "( student", + "(st udent", + "* np", + "*n p", + "Ġrail way", + "Ġas ynchronous", + "_ vm", + "_v m", + "' ],'", + "'] ,'", + "'], '", + ", text", + ",t ext", + "m erchant", + "mer chant", + "( Guid", + "(G uid", + "ĠG ra", + "ĠGr a", + "ix er", + "ixe r", + "fetch All", + ". addListener", + ".add Listener", + "f lip", + "fl ip", + "* $", + "> (),", + ">( ),", + ">() ,", + "Ġsun light", + "as signed", + "ass igned", + "assign ed", + "Ġ abc", + "Ġa bc", + "Ġab c", + "Ġ COLUMN", + "ĠC OLUMN", + "ĠðŁĻĤ ĊĊ", + ") ...", + "). ..", + ").. .", + "Ġ ensemble", + "Ġen semble", + "Ġens emble", + "Ġ newline", + "Ġnew line", + "_S INGLE", + "i edad", + "ie dad", + "ied ad", + "Ġd arker", + "Ġdark er", + "Ġdar ker", + "or map", + "orm ap", + "Ġ lion", + "Ġl ion", + "Ġli on", + "pl its", + "plit s", + "Ġillustr ation", + "Ġillust ration", + "Ġ IEEE", + "ĠI EEE", + "ĠIE EE", + "Ġv ista", + "Ġvis ta", + "Ġvi sta", + "ous ands", + "ousand s", + "* ******", + "** *****", + "**** ***", + "****** *", + "*** ****", + "***** **", + "ĠTom my", + "Ġ hue", + "Ġh ue", + "Ġhu e", + "S el", + "Se l", + "Ġ aura", + "Ġa ura", + "Ġau ra", + "Ġaur a", + "ĠThe rapy", + "ĠTher apy", + "Ġan imator", + "Ġanim ator", + ". constraints", + ".con straints", + ".constraint s", + "Ġv ague", + "Ġva gue", + "Ġvag ue", + "(\" \")", + "(\"\" )", + "Ġvill ain", + "Ġvil lain", + "Ġvilla in", + "Ġbless ing", + "Ġstring Builder", + "Ġ Misc", + "ĠM isc", + "ĠMi sc", + "ĠMis c", + "Ġ DIR", + "ĠD IR", + "ĠDI R", + "f ax", + "fa x", + "- node", + "-n ode", + "-no de", + "Ġ Walking", + "ĠW alking", + "ĠWalk ing", + "ĠWal king", + "Ġ AU", + "ĠA U", + "s ess", + "se ss", + "ses s", + "Ġgr ill", + "Ġgri ll", + "VERT ISE", + "ĠF oods", + "ĠFood s", + "ĠFo ods", + "ĠFoo ds", + "Ġt ournaments", + "Ġtour naments", + "Ġtournament s", + "à ĵ", + "Ġ Marsh", + "ĠMar sh", + "ĠMars h", + "Ġw onders", + "Ġwon ders", + "Ġwonder s", + "Long itude", + ".Command Text", + "= input", + "=in put", + "_ encoder", + "_e ncoder", + "_en coder", + "_encode r", + "_enc oder", + "page Size", + "Ġ getState", + "Ġget State", + "> >Ċ", + ">> Ċ", + ". grey", + ".g rey", + ".gr ey", + "p od", + "po d", + "Ġread ings", + "Ġreading s", + "Ġre consider", + "Start up", + "Ġex cer", + "Ġexc er", + "Ġexce r", + ". balance", + ".b alance", + "_ cycle", + "_c ycle", + "_ Time", + "_T ime", + "LO CAL", + "LOC AL", + "Ġ EFI", + "ĠE FI", + "ĠEF I", + "ĠR eyn", + "ĠRe yn", + "ĠRey n", + ".set Foreground", + "b yn", + "by n", + "Ġdis connected", + "Ġdisconnect ed", + "ACT IVE", + "Ġ embedding", + "Ġembed ding", + "ic kers", + "ick ers", + "icker s", + "Ġsurround ings", + "Ġsurrounding s", + "* c", + "Ġgar ant", + "Ġga rant", + "Ġ bf", + "Ġb f", + "Ġ wipe", + "Ġw ipe", + "Ġwi pe", + "Ġ ä¸ĭ", + "Ġä¸ ĭ", + "_ TRA", + "_T RA", + "_TR A", + "ad ox", + "ado x", + "ç ķ", + "Ġs ucks", + "Ġsu cks", + "Ġsuc ks", + "Ġsuck s", + "Ġ Songs", + "ĠS ongs", + "ĠSon gs", + "ĠSong s", + "ĠAssoci ates", + "ĠAssociate s", + "ĠAssoc iates", + "ĠB ald", + "ĠBa ld", + "ĠBal d", + "ĠB rett", + "ĠBr ett", + "ĠBre tt", + "ĠBret t", + "ven ile", + "Ġ vt", + "Ġv t", + "Ġin ade", + "Ġre signed", + "Ġres igned", + "Ġresign ed", + "ĠGl enn", + "ĠGlen n", + "ĠGle nn", + ". pattern", + ".p attern", + ".pat tern", + ".Data Bind", + "Ñĥ м", + "Layout Inflater", + "c het", + "ch et", + "che t", + "ĠTest ament", + ". ms", + ".m s", + "Ġp av", + "Ġpa v", + "Ġ ReactDOM", + "ĠReact DOM", + "ur dy", + "urd y", + "A DATA", + "AD ATA", + "ADA TA", + "M u", + "/ actions", + "/a ctions", + "/action s", + "Ġ Js", + "ĠJ s", + "_ extract", + "_ex tract", + "_ext ract", + "_extra ct", + "Ġ Bring", + "ĠB ring", + "ĠBr ing", + "ĠBri ng", + ": id", + ":i d", + "st rt", + "str t", + "i vation", + "iv ation", + "iva tion", + "Ġout right", + "Ġou tright", + "Ġoutr ight", + "a zu", + "az u", + "loy ment", + "и Ñı", + "al do", + "ald o", + "Ġ Publisher", + "ĠP ublisher", + "ĠPublish er", + "E ducation", + "Educ ation", + "P alette", + "Pal ette", + "Pa lette", + "Pale tte", + "_ drv", + "_d rv", + "_dr v", + "Ġ ($(", + "Ġ( $(", + "Ġ($ (", + "ĠA nda", + "ĠAn da", + "ĠAnd a", + "Ġrem edy", + "Ġremed y", + "Ġin consistent", + "Ġincons istent", + "Ġinconsist ent", + "t ection", + "te ction", + "tec tion", + "Ġreg ulators", + "Ġregul ators", + "Ġregulator s", + "Ġshort est", + "( pair", + "(p air", + "(pa ir", + "Ġ Installation", + "ĠInstall ation", + "Ġdef endants", + "Ġdefend ants", + "Ġdefendant s", + "Ġ ();", + "Ġ( );", + "Ġ() ;", + "- large", + "-l arge", + "M el", + "Me l", + "Ġthreat en", + "н Ñı", + "Ġfet ish", + "ot ine", + "oti ne", + "_ dic", + "_d ic", + "_di c", + "Ġ <$", + "Ġ< $", + "Ġst agger", + "Ġsta gger", + "Ġstag ger", + "s pi", + "sp i", + "$ response", + "$res ponse", + "S erv", + "Se rv", + "Ser v", + "- born", + "-b orn", + "-bo rn", + "j os", + "jo s", + "ĉ img", + "ĉi mg", + "ĉim g", + "ĉ WHERE", + "ĉW HERE", + "_ lt", + "_l t", + "å½ ĵ", + ". cost", + ".c ost", + ".co st", + ".cos t", + "Ġ Tue", + "ĠT ue", + "ĠTu e", + ". labels", + ".label s", + ".lab els", + "Ġ LV", + "ĠL V", + "wcs store", + "ĠJ esse", + "ĠJes se", + "ĠJe sse", + "ĠJess e", + "ภ«", + "T rade", + "Tr ade", + "Trad e", + "Tra de", + "Ġpredecess or", + "ë Ĥ", + "f inally", + "fin ally", + "final ly", + "_ general", + "_g eneral", + "_gen eral", + "_gene ral", + "_gener al", + "oggle r", + "ogg ler", + "_ REGION", + "_REG ION", + "n ement", + "ne ment", + "nem ent", + "Ġb logger", + "Ġblog ger", + "Ġblo gger", + "ĠHar bor", + "Ġ Dataset", + "ĠD ataset", + "ĠData set", + "ĠDat aset", + "[ w", + "Ġattend ees", + "Ġattendee s", + ". ico", + ".i co", + ".ic o", + "max imum", + ". Unlock", + ".Un lock", + "_ SYNC", + "_S YNC", + "_SY NC", + "_SYN C", + "ág ina", + "Ġd owns", + "Ġdown s", + "Ġdow ns", + "ĠW ii", + "ĠWi i", + "] )/", + "]) /", + "Ġk icking", + "Ġkick ing", + "un ication", + "unic ation", + "uni cation", + "Ġ DAC", + "ĠD AC", + "ĠDA C", + "Ġ IDS", + "ĠI DS", + "ĠID S", + "ĠR ental", + "ĠRen tal", + "ĠRent al", + "Ġ currentTime", + "Ġcurrent Time", + "Ġvacc ines", + "Ġvaccine s", + "ĠD evil", + "ĠDe vil", + "ĠDev il", + "Ġn ors", + "Ġno rs", + "Ġnor s", + "_ mouse", + "_m ouse", + "_mo use", + "ur rection", + "urre ction", + "urr ection", + "urrect ion", + "( no", + "(n o", + "Ġ >čĊ", + "Ġ> čĊ", + "Ġag gression", + "Ġaggress ion", + "Ġagg ression", + "Ġbre eding", + "Ġbreed ing", + "Ġbree ding", + ". symbol", + ".s ymbol", + ".sym bol", + "i man", + "im an", + "ima n", + "Absolute Path", + "Ġ WHO", + "ĠW HO", + "ĠWH O", + "_ flush", + "_f lush", + "_fl ush", + "- root", + "-r oot", + "-ro ot", + "a rna", + "ar na", + "arn a", + "& M", + "Ġf athers", + "Ġfa thers", + "Ġfather s", + "Ġ Rocket", + "ĠR ocket", + "ĠRock et", + "ĠRo cket", + "ĠRoc ket", + "i veau", + "ive au", + "Ġw ander", + "Ġwa nder", + "Ġwand er", + "Ġwan der", + "Ġcom pos", + "Ġcomp os", + "ĠWar rior", + "Ġ Seat", + "ĠS eat", + "ĠSe at", + "ĠSea t", + "ĠCl inic", + "ĠClin ic", + "ĠCli nic", + "_ invoice", + "_in voice", + "_inv oice", + "( dispatch", + "(dis patch", + "Product o", + "at uring", + "atur ing", + "atu ring", + "oss ier", + "ĠM AY", + "ĠMA Y", + "Ġd agger", + "Ġda gger", + "Ġdag ger", + "Ġsan itized", + "Ġsanit ized", + "Ġsanitize d", + "Ġ RFC", + "ĠR FC", + "ĠRF C", + "Ġp roph", + "Ġpro ph", + "Ġpr oph", + "Ġprop h", + "Ġu rine", + "Ġur ine", + "Ġuri ne", + "Ġgr ind", + "Ġgri nd", + "Ġgrin d", + "Ġ Expanded", + "ĠExp anded", + "ĠExpand ed", + "des cripcion", + "- fw", + "-f w", + "ĠK erry", + "ĠKer ry", + "ĠKerr y", + "= name", + "=n ame", + "Ġ chk", + "Ġc hk", + "Ġch k", + "Ġn ationally", + "Ġnational ly", + "Ġnation ally", + "Ġt hee", + "Ġth ee", + "Ġthe e", + "I nc", + "In c", + "Ġ ?>>", + "Ġ? >>", + "Ġ?> >", + ". RadioButton", + ".R adioButton", + ".Http ServletResponse", + ".HttpServlet Response", + "/ Y", + "ĉ field", + "ĉf ield", + "ĉfi eld", + "Ġ homme", + "Ġhom me", + "y per", + "ype r", + "yp er", + "Ph ysical", + "Phys ical", + "= v", + "Ġd riv", + "Ġdr iv", + "Ġdri v", + "Ġ Errors", + "ĠError s", + "ĠEr rors", + "ĠErr ors", + "Ġc Äĥ", + "De ath", + "Ġ WINDOW", + "ĠW INDOW", + "Ġpo et", + "Ġ Sharp", + "ĠSh arp", + "ĠSha rp", + "ĠShar p", + "Ġ Immutable", + "ĠIm mutable", + "ĠImm utable", + "ĉ create", + "ĉc reate", + "Ġge ht", + "Ġgeh t", + "ĠRe form", + "ĠRef orm", + "a iser", + "ai ser", + "ais er", + "aise r", + "Ġ Initialization", + "ĠInitial ization", + "Ġimm unity", + "Ġimmun ity", + ". compose", + ".com pose", + ".comp ose", + "Ġlate ncy", + "Ġlat ency", + "Ġlaten cy", + "ĠLeban on", + "ĠPar ad", + "ĠPa rad", + "ĠPara d", + "Ġf uels", + "Ġfuel s", + "Ġfu els", + "Ġfue ls", + "ĠEx hib", + "c oh", + "co h", + "% \">Ċ", + "%\" >Ċ", + "%\"> Ċ", + "Ġ CLI", + "ĠC LI", + "ĠCL I", + ") initWith", + ")init With", + "- Za", + "-Z a", + "_ CLEAR", + "_C LEAR", + "_CL EAR", + "re gn", + "reg n", + "Ġfin ances", + "Ġfinance s", + "Ġfinanc es", + "Ġfinan ces", + ". standard", + ".st andard", + "_ CATEGORY", + "_C ATEGORY", + ". library", + ".l ibrary", + ".lib rary", + "Ġtravel ers", + "Ġtraveler s", + "_ wp", + "_w p", + "Ġ Evaluation", + "ĠE valuation", + "ĠEval uation", + "ĠEvalu ation", + "start ing", + "star ting", + "Ġ )),Ċ", + "Ġ) ),Ċ", + "Ġ)) ,Ċ", + "ep isode", + "Ġ Variant", + "ĠV ariant", + "ĠVar iant", + "ĠVari ant", + "Ġ daemon", + "Ġda emon", + "ĠJ ulia", + "ĠJul ia", + "ĠJu lia", + "ĠJuli a", + "Ġ NR", + "ĠN R", + "Ġd oubles", + "Ġdouble s", + "Ġdoub les", + "Ġdou bles", + "< v", + "/ runtime", + "/r untime", + "/run time", + "Ġ interpreter", + "Ġinter preter", + "Ġinterpret er", + "Ġinterpre ter", + "Ġ INDEX", + "ĠIN DEX", + "ĠIND EX", + "ĠHol mes", + "_ DIM", + "_D IM", + "_DI M", + "Ġp addle", + "Ġpad dle", + "Ġpadd le", + "_ example", + "_ex ample", + "_exam ple", + "Ġ foreground", + "Ġfore ground", + ". routes", + ".r outes", + ".route s", + ".ro utes", + "Ġs owie", + "Ġso wie", + "Ġsow ie", + "S UCCESS", + "Ġ CDC", + "ĠC DC", + "ĠCD C", + "Ġ BD", + "ĠB D", + "_ -", + "as ured", + "asure d", + "asu red", + "W riting", + "Wr iting", + "Ġ currentPage", + "Ġcurrent Page", + "( answer", + "(ans wer", + "(an swer", + "Ġ ASCII", + "ĠA SCII", + "ĠASC II", + "à ¨", + "Ġsocial ly", + "Ġsoc ially", + "Ġsoci ally", + "y yy", + "yy y", + "ĠSpecial ist", + "( customer", + "(c ustomer", + "(custom er", + "ist ani", + "istan i", + "ista ni", + "k est", + "ke st", + "kes t", + "ĠM ak", + "ĠMa k", + "Ġt ho", + "Ġth o", + ". pt", + ".p t", + "( comment", + "(com ment", + "(comm ent", + "Ġ Converter", + "ĠCon verter", + "ĠConvert er", + "g am", + "ga m", + "b ins", + "bin s", + "bi ns", + ". tele", + ".t ele", + ".te le", + ".tel e", + "ĠVeter ans", + "ĠVeteran s", + "_ ALLOC", + "_AL LOC", + "_ALL OC", + "олÑĮзов аÑĤ", + "inn amon", + "; width", + "o hl", + "oh l", + "Ġf antas", + "Ġfan tas", + "Ġfant as", + "Ġs ung", + "Ġsu ng", + "Ġsun g", + "ĉ K", + "( Json", + "(J son", + "Ġneighbour hood", + "Ġv ow", + "Ġvo w", + "Ġs ins", + "Ġsi ns", + "Ġsin s", + "on acci", + "ona cci", + "Ġ epochs", + "Ġepoch s", + "im agen", + "image n", + "ima gen", + "imag en", + ". Change", + ".Ch ange", + ".my batis", + "Se ek", + "See k", + "W ER", + "WE R", + "管 çIJĨ", + "Ġinter ess", + "Ġinte ress", + "Ġinteres s", + "_ Event", + "_E vent", + "ed erland", + "eder land", + "Ġterr itor", + "Ġci udad", + "uc ked", + "uck ed", + "Ġsn ack", + "Ġsna ck", + "Ġtrans ported", + "Ġtransport ed", + "Ġtransporte d", + "Ġ Manifest", + "ĠMan ifest", + "Ġ DAT", + "ĠD AT", + "ĠDA T", + "_ theta", + "_th eta", + "_the ta", + "Ġw ont", + "Ġwon t", + "Ġwo nt", + ". ĊĊĊĊĊĊĊĊĊĊ", + ".ĊĊ ĊĊĊĊĊĊĊĊ", + ".Ċ ĊĊĊĊĊĊĊĊĊ", + ".ĊĊĊĊ ĊĊĊĊĊĊ", + ".ĊĊĊ ĊĊĊĊĊĊĊ", + ".ĊĊĊĊĊĊ ĊĊĊĊ", + ".ĊĊĊĊĊĊĊĊ ĊĊ", + ".ĊĊĊĊĊ ĊĊĊĊĊ", + "Ĭ¶ æĢģ", + "ĠE pic", + "ĠEp ic", + "D eck", + "De ck", + "Dec k", + "l tra", + "lt ra", + "ltr a", + "_ ZERO", + "_Z ERO", + "Ġ[ ];", + "Ġ[] ;", + "/ scripts", + "/s cripts", + "/script s", + "Ġ --------------------------------------------------------------------------------", + "Ġ---------------------------------------------------------------- ----------------", + "Ġ---- ----------------------------------------------------------------------------", + "Ġ---------------- ----------------------------------------------------------------", + "Ġ------------------------------------------------ --------------------------------", + "Ġ-------------------------------- ------------------------------------------------", + "Ġ---------------------------------------------------------------------------- ----", + "Ġ---------- ----------------------------------------------------------------------", + "Ġ------------------------------------------------------------ --------------------", + "Ġ------------------------------------------------------------------------- -------", + "æĥ ħ", + "Ġ weed", + "Ġw eed", + "Ġwe ed", + "Ġwee d", + "N BC", + "NB C", + "Ġr aped", + "Ġrap ed", + "Ġra ped", + "Ġrape d", + "Ġ Gateway", + "ĠG ateway", + "ĠGate way", + "ĠGat eway", + "[ M", + "Ġ Timeout", + "ĠTime out", + "ench mark", + ". ViewModel", + ".View Model", + "Ġporn os", + "Ġpor nos", + "Ġporno s", + "Ġ Ya", + "ĠY a", + "th ritis", + "thr itis", + "ĠFl ynn", + "ĠFly nn", + "Ġ mega", + "Ġm ega", + "Ġme ga", + "Ġmeg a", + "a cin", + "ac in", + "aci n", + "Ġtr ibal", + "Ġtri bal", + "Ġtrib al", + ". apple", + ".app le", + ".ap ple", + "Ġ Blo", + "ĠB lo", + "ĠBl o", + "â n", + "i bi", + "ib i", + "r ov", + "ro v", + "ĠL ives", + "ĠLive s", + "ĠLi ves", + "ĠLiv es", + "^ .", + "get Request", + "Ġ Establish", + "ĠEst ablish", + "cont ainers", + "container s", + "contain ers", + "Ġst arring", + "Ġstar ring", + "Ġcele brities", + "Ġcelebr ities", + "Ġ Relative", + "ĠRel ative", + "ĠHe ights", + "ĠHeight s", + "Ġtq dm", + "ĠNorth west", + "i vic", + "iv ic", + "ivi c", + "ĉ cl", + "ĉc l", + "Ġautom otive", + "ent ric", + "entr ic", + "Ġ fortunate", + "Ġfort unate", + "Ġfire place", + "Ġfi replace", + "se ud", + "n ickname", + "nick name", + "; s", + "_ CAL", + "_C AL", + "_CA L", + "h alt", + "ha lt", + "hal t", + "( ns", + "(n s", + "_ deleted", + "_de leted", + "_delete d", + "_del eted", + "De velopment", + "Dev elopment", + "Develop ment", + "m ovies", + "movie s", + "mov ies", + "Ġid entities", + "Ġident ities", + "Ġprompt ly", + "ا ÙĨ", + "ا٠Ĩ", + "Ġ ante", + "Ġa nte", + "Ġan te", + "Ġant e", + "Ġ\" ','", + "Ġ\"' ,'", + "Ġ\"', '", + "åı £", + "imp se", + "imps e", + "Ġy ap", + "Ġya p", + "Type Name", + "Ġb itch", + "Ġbit ch", + "Ġassoci ates", + "Ġassociate s", + "Ġassoc iates", + "HE ME", + "- empty", + "-em pty", + "Ġ ت", + "ĠØ ª", + "ol vers", + "olve rs", + "olver s", + "olv ers", + "Ġp istol", + "Ġpist ol", + "Ġpis tol", + "Sc oped", + "Scope d", + "ag ner", + "agn er", + "agne r", + "' ]=='", + "'] =='", + "']= ='", + "']== '", + "Ġ IMP", + "ĠI MP", + "ĠIM P", + "e xc", + "ex c", + "Ġo mitted", + "Ġom itted", + "Ġomit ted", + "Ġmind set", + "Ġminds et", + "Ġ [](", + "Ġ[ ](", + "Ġ[] (", + "Ġ orn", + "Ġo rn", + "Ġor n", + "_ CAM", + "_C AM", + "_CA M", + "A vg", + "Av g", + "Localized String", + "ĠN atur", + "ĠNa tur", + "ĠNat ur", + "Ġ composer", + "Ġcom poser", + "Ġcomp oser", + "Ġcompose r", + "Ġcompos er", + "Ġ Playing", + "ĠPl aying", + "ĠPlay ing", + "ĠPla ying", + "Ġover d", + "Ġov erd", + "_ utf", + "_u tf", + "_ut f", + ". sk", + ".s k", + "ĠF ol", + "ĠFo l", + "$ page", + "$p age", + ", Object", + ",O bject", + "Ġb ees", + "Ġbe es", + "Ġbee s", + "al ary", + "ala ry", + "alar y", + "b ullet", + "bul let", + "bull et", + "_ library", + "_l ibrary", + "_lib rary", + "O ffer", + "Of fer", + "Off er", + "loc ated", + "locate d", + "Ġ (_,", + "Ġ( _,", + "Ġ(_ ,", + "âĢľ He", + "Ġ Owners", + "ĠOwn ers", + "ĠOwner s", + "ĠOw ners", + ") ).Ċ", + ")) .Ċ", + ")). Ċ", + "Ġb ri", + "Ġbr i", + ". Admin", + ".Ad min", + "k tion", + "kt ion", + "лÑİ Ñĩ", + "Ġerot ici", + "Ġerotic i", + "Cancel led", + "Ġ agr", + "Ġa gr", + "Ġag r", + "re views", + "review s", + "_ dma", + "_d ma", + "_dm a", + "R ICT", + "RI CT", + "RIC T", + "Ġ gfx", + "Ġg fx", + "Ġgf x", + "m pi", + "mp i", + "p po", + "pp o", + "Ġ //@", + "Ġ// @", + "Ġ/ /@", + "Ġ uppercase", + "Ġupper case", + "Ġcomm itting", + "Ġcommit ting", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "User Data", + "Ġv ai", + "Ġva i", + "ĉ sort", + "ĉs ort", + "Ġcongr at", + "Ġcong rat", + "Ġd ioxide", + "Ġdi oxide", + "д а", + ". area", + ".a rea", + ".ar ea", + ".are a", + "ĠJosh ua", + "ĠJos hua", + "ĠK och", + "ĠKo ch", + "_ break", + "_b reak", + "a zure", + "az ure", + "azu re", + "is tical", + "ist ical", + "istic al", + "isti cal", + "istica l", + "_AL PHA", + "_ views", + "_view s", + "_vi ews", + "Ġelim inating", + "Ġelimin ating", + "O MB", + "OM B", + "e numer", + "en umer", + "enu mer", + "enum er", + "ĠH ydro", + "ĠHy dro", + "( *(", + "(* (", + "ERT ICAL", + "Ġinev itably", + "Ġst ole", + "Ġsto le", + "Ġstol e", + "- east", + "-e ast", + "i eron", + "ie ron", + "ier on", + "iero n", + "Ġ linger", + "Ġl inger", + "Ġli nger", + "Ġlin ger", + "Ġling er", + "/ doc", + "/d oc", + "/do c", + "Å º", + "Ġ Already", + "ĠAl ready", + "as io", + "asi o", + "Ġ --Ċ", + "Ġ- -Ċ", + "Ġ-- Ċ", + "Ġ abbrev", + "Ġabb rev", + "Ġ Atom", + "ĠA tom", + "ĠAt om", + "h im", + "hi m", + "Ġ INSERT", + "ĠINS ERT", + "s un", + "su n", + "âĻ ª", + "CON NECT", + "CONN ECT", + "er ator", + "era tor", + "ĠM anning", + "ĠMan ning", + "ĠMann ing", + "Ġ :(", + "Ġ: (", + "g as", + "ga s", + "= >'", + "=> '", + "Ġquery set", + "; }čĊ", + ";} čĊ", + "Ġ Population", + "ĠPop ulation", + "uted String", + "res ident", + "resi dent", + "_ FONT", + "_F ONT", + "Ġ Respond", + "ĠRes pond", + "ĠResp ond", + "Ġobsc ure", + "Ġ observable", + "Ġo bservable", + "Ġobserv able", + "ĠContrib utors", + "ĠContributor s", + "k on", + "ko n", + "ĠM usk", + "ĠMus k", + "ĠMu sk", + "ex ao", + "ĠT ub", + "ĠTu b", + "Boot Application", + "S OR", + "SO R", + ". Horizontal", + ".H orizontal", + ". findBy", + ".find By", + ". power", + ".p ower", + ".pow er", + ".po wer", + "Ġpositive ly", + "Ġposit ively", + "ven ience", + "ĠJ ong", + "ĠJo ng", + "ĠJon g", + "Ġwh istle", + "Ġ знаÑĩ", + "Ġз наÑĩ", + "Ġзна Ñĩ", + "Ġзн аÑĩ", + "Ġl ending", + "Ġlen ding", + "Ġlend ing", + "Ġdestruct ive", + "Ġ onDelete", + "Ġon Delete", + "author ization", + "() ;?>", + "(); ?>", + "_ original", + "_or iginal", + "_origin al", + "_orig inal", + "sc ience", + "sci ence", + "a tra", + "at ra", + "atr a", + "?, ?,", + "Ġ Asc", + "ĠA sc", + "ĠAs c", + "Ġconvin cing", + "Ġconvinc ing", + "$ a", + "or gen", + "org en", + "orge n", + "_ Date", + "_D ate", + "Ġ Provide", + "ĠPro vide", + "ĠProvid e", + "ĠProv ide", + "Ġlon ely", + "Ġlone ly", + ") 'Ċ", + ")' Ċ", + "ex change", + "; ?>Ċ", + ";?> Ċ", + ". fast", + ".f ast", + ".fa st", + "S amples", + "Sample s", + "Sam ples", + "L ondon", + "Lo ndon", + "Lon don", + "' ])čĊ", + "'] )čĊ", + "']) čĊ", + "Ġ Ionic", + "ĠI onic", + "ĠIo nic", + "ĠIon ic", + "Ġp esso", + "Ġpes so", + "ĠKn ights", + "ĠKnight s", + "ĠR af", + "ĠRa f", + "_ attrs", + "_at trs", + "_attr s", + "_att rs", + "Ġrepe al", + "> Main", + ">M ain", + "Ġ Ordered", + "ĠOrder ed", + "ĠOrd ered", + "_ New", + "_N ew", + "=\" \"> < /", + "url patterns", + "ATION AL", + "ATIO NAL", + "pe ech", + "pee ch", + "ĠId aho", + "Ġpr incess", + "Ġprince ss", + "Ġprin cess", + "Ġprinc ess", + "Ġprinces s", + "Ġ Customers", + "ĠCustom ers", + "ĠCustomer s", + "ĠCust omers", + "a ways", + "aw ays", + "away s", + "awa ys", + "a db", + "ad b", + "ĠBry ant", + "ĠBryan t", + "n once", + "no nce", + "non ce", + "Ġad ul", + "Ġ` `(", + "Ġ`` (", + "Ġafter math", + "= dict", + "=d ict", + "text Box", + "Ġs perm", + "Ġsp erm", + "Ġspe rm", + "Ġsper m", + "Ġc ough", + "Ġco ugh", + "Ġcou gh", + "H or", + "Ho r", + "âĢĻ S", + ".Component ResourceManager", + "Ġreg ulator", + "Ġregul ator", + "Ġpartner ships", + "Ġpartners hips", + "Ġpartnership s", + "/ projects", + "/project s", + "t rys", + "tr ys", + "try s", + "ĠL aser", + "ĠLa ser", + "ĠLas er", + "⣠©", + "ĠF unk", + "ĠFun k", + "ĠFu nk", + "Ġun conscious", + "Ġuncon scious", + "Ġc rust", + "Ġcr ust", + "Ġcru st", + "Ġcrus t", + "Ġ Teams", + "ĠTe ams", + "ĠTeam s", + "ĠTea ms", + "Ġ Banner", + "ĠB anner", + "ĠBan ner", + "ĠH oney", + "ĠHon ey", + "ĠHo ney", + "l ems", + "le ms", + "lem s", + "Ġmax Width", + "Pointer Exception", + "fade Out", + "- St", + "-S t", + "Ġstr angers", + "Ġstrange rs", + "Ġstranger s", + "Ġstrang ers", + "Ġstran gers", + "_ GO", + "_G O", + "W ritable", + "Wr itable", + "_ Info", + "_In fo", + ". NonNull", + ".Non Null", + "an notations", + "annot ations", + "annotation s", + "Ġ GD", + "ĠG D", + "Ġendorse d", + "Ġendors ed", + "ĉToken Name", + "Ġ Depending", + "ĠDe pending", + "ĠDep ending", + "ĠDepend ing", + "YN AM", + "Ġ Meteor", + "ĠM eteor", + "ĠMet eor", + "Ġ Increase", + "ĠIn crease", + "ĠIncre ase", + ". Many", + ".M any", + ".Man y", + ".Ma ny", + "= =(", + "== (", + ". UUID", + ".U UID", + "_ KERNEL", + "_K ERNEL", + "Ġvid é", + "Ġ pq", + "Ġp q", + "ĠQt Gui", + "Ġ Various", + "ĠV arious", + "ĠVar ious", + "ĠVa rious", + "ĠVari ous", + "Ġ john", + "Ġj ohn", + "Ġjo hn", + "_ patch", + "_p atch", + "_pat ch", + "Ġt outes", + "Ġto utes", + "Ġtou tes", + "Ġtout es", + "Ġtoute s", + "Ġ Fail", + "ĠF ail", + "ĠFa il", + "Ġsurv iving", + "Ġsurviv ing", + "( \"${", + "(\" ${", + "(\"$ {", + "Ġ ĠĠĠĠĠĠčĊ", + "ĠĠ ĠĠĠĠĠčĊ", + "ĠĠĠĠ ĠĠĠčĊ", + "ĠĠĠ ĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠ čĊ", + "ĠĠĠĠĠ ĠĠčĊ", + "ĠĠĠĠĠĠ ĠčĊ", + "Ġ imageUrl", + "Ġimage Url", + ". wordpress", + ".word press", + "s ources", + "source s", + "ĉgl Vertex", + "âĢĻ a", + "Ġes col", + "Ġesc ol", + "R ARY", + "RA RY", + "RAR Y", + "Ġ Snake", + "ĠSn ake", + "Ġqu int", + "Ġq uint", + "Ġqui nt", + "Ġl asts", + "Ġla sts", + "Ġlast s", + "Ġlas ts", + "ĠHar mon", + "ĠHarm on", + "Ġ coil", + "Ġc oil", + "Ġco il", + "Ġcoi l", + "Ġexplo itation", + "Ġexploit ation", + "l een", + "le en", + "lee n", + "' >\";Ċ", + "'> \";Ċ", + "'>\" ;Ċ", + "Ġ SERVER", + "ĠS ERVER", + "ĠSER VER", + "Ġ HEADER", + "ĠHE ADER", + "ĠHEAD ER", + "_ velocity", + "_v elocity", + "_vel ocity", + "Ġ Invoke", + "ĠIn voke", + "ĠInv oke", + ". timestamps", + ".timestamp s", + "Ġs ulf", + "Ġsu lf", + "Ġsul f", + "I QUE", + "IQ UE", + "Ġinhabit ants", + "ph ins", + "phi ns", + "phin s", + "a zzo", + "az zo", + "azz o", + "Ġ mono", + "Ġm ono", + "Ġmon o", + "Ġmo no", + "L egend", + "Le gend", + "Leg end", + "Ġ nonce", + "Ġn once", + "Ġno nce", + "Ġnon ce", + "I FE", + "IF E", + "; \";Ċ", + ";\" ;Ċ", + "- create", + "-c reate", + "\" \",Ċ", + "\"\" ,Ċ", + "\"\", Ċ", + "per mit", + "perm it", + "ĠIm migration", + "ĠImm igration", + "Ġ pathname", + "Ġpath name", + "ff ective", + "ffect ive", + "âĻĢ âĻĢ", + "Ġex ams", + "Ġexam s", + "- event", + "-e vent", + "-ev ent", + "-even t", + "ĠT ill", + "ĠTi ll", + "ĠTil l", + "[ mid", + "[m id", + "F IX", + "FI X", + "; color", + ";c olor", + "( Order", + "_ traits", + "_t raits", + "_tr aits", + "_tra its", + "_trait s", + "Ġ orderBy", + "Ġorder By", + "Ġs unt", + "Ġsu nt", + "Ġsun t", + "ĠNich olas", + "Ø ²", + "Ġs unny", + "Ġsun ny", + "i ners", + "in ers", + "ine rs", + "iner s", + "Ġaccess ibility", + "Ġ HB", + "ĠH B", + ". comp", + ".c omp", + ".com p", + ".co mp", + "ĉ op", + "ĉo p", + "Ġminor ities", + "eth eus", + "ethe us", + "Ġcollabor ative", + "p rit", + "pr it", + "pri t", + "H IR", + "HI R", + "Ġwr aps", + "Ġwrap s", + "ĉ draw", + "ĉd raw", + "g od", + "go d", + "Ġ IX", + "ĠI X", + ". apps", + ".app s", + ".ap ps", + ".a pps", + "Ġ NM", + "ĠN M", + "Ġir relevant", + "Ġirre levant", + "ĠT igers", + "ĠTi gers", + "ĠTiger s", + "ĠTig ers", + "Ġ diag", + "Ġd iag", + "Ġdi ag", + "Ġdia g", + "G V", + "ĠAccess ories", + "k ont", + "ko nt", + "kon t", + "Ġs implify", + "Ġsimp lify", + "Ġsimpl ify", + "Ġ Favorite", + "ĠF avorite", + "ĠFavor ite", + "_ tools", + "_t ools", + "_to ols", + "_tool s", + "( []);Ċ", + "([ ]);Ċ", + "([] );Ċ", + "Ġt owers", + "Ġto wers", + "Ġtow ers", + "Ġtower s", + "B es", + "Be s", + "Ġ hunter", + "Ġh unter", + "Ġhun ter", + "Ġhunt er", + "Ġs alon", + "Ġsa lon", + "Ġsal on", + "( buff", + "(b uff", + "(buf f", + "ĉ debug", + "ĉde bug", + "Ġmal ware", + "M oving", + "Mo ving", + "Mov ing", + "- options", + "-o ptions", + "-option s", + "-opt ions", + ") +'", + ")+ '", + "ĠL OVE", + "ĠLO VE", + "_S OCKET", + "_SO CKET", + "_ fin", + "_f in", + "ĠDel aware", + "Ġsher iff", + "- invalid", + "-in valid", + "Ġ FULL", + "ĠF ULL", + "ĠFU LL", + "Ġ под", + "Ġп од", + "Ġпо д", + "e las", + "el as", + "ela s", + "\" strings", + "ĠRepresent atives", + "ĠRepresentative s", + "s urface", + "sur face", + "surf ace", + "res olved", + "resolve d", + "ht docs", + ") ):čĊ", + ")) :čĊ", + ")): čĊ", + "Ġpress ures", + "Ġpressure s", + "Ġno rms", + "Ġnor ms", + "Ġnorm s", + "Ġ pla", + "Ġp la", + "Ġpl a", + "Ġ surname", + "Ġs urname", + "Ġsur name", + "Ġ postal", + "Ġpos tal", + "Ġpost al", + "Ġpo stal", + "Ġ Depart", + "ĠDe part", + "ĠDep art", + "Ġs laughter", + "Ġsla ughter", + "or ida", + "ori da", + "Ġhe bben", + "Ġheb ben", + "Ġd esar", + "Ġde sar", + "Ġdes ar", + "comp act", + "_ LANG", + "_L ANG", + "_LA NG", + "åIJ Ī", + "o poly", + "op oly", + "opol y", + "opo ly", + "_ rad", + "_r ad", + "_ra d", + "ĠST DMETHOD", + "ĠSTD METHOD", + "L azy", + "La zy", + "Ġ ĠĠĉ", + "ĠĠ Ġĉ", + "ĠĠĠ ĉ", + ".. .,", + "... ,", + "( web", + "(w eb", + "Ġ Pont", + "ĠP ont", + "ĠPo nt", + "ĠPon t", + "Ġet was", + "Ġetwa s", + "Ġup ward", + "_ hat", + "_h at", + "Ġ ],ĊĊ", + "Ġ] ,ĊĊ", + "Ġ],Ċ Ċ", + "Ġ], ĊĊ", + "Ġ baseUrl", + "Ġbase Url", + "Ġwor rying", + "Ġworry ing", + "- addon", + "-add on", + "-ad don", + "( getClass", + "(get Class", + "S PI", + "SP I", + "Ġcapt uring", + ") },Ċ", + ")} ,Ċ", + ")}, Ċ", + "E ffects", + "Effect s", + "Eff ects", + "Ġcompet ent", + "Ġcompete nt", + "Ġf oul", + "Ġfo ul", + "Ġfou l", + "Ġsubs cribing", + "Ġsubscri bing", + "Ġ OBJECT", + "ĠO BJECT", + "ĠOBJ ECT", + "ĠOB JECT", + "IX EL", + "b ucks", + "bu cks", + "( edge", + "(e dge", + "(ed ge", + "( pass", + "(p ass", + "(pa ss", + "ĠPeter son", + "ĠPet erson", + "ĠPeters on", + "Ġbo obs", + "Ġboo bs", + "Ġboob s", + "Ġ Delay", + "ĠD elay", + "ĠDe lay", + "ĠDel ay", + "_ square", + "_s quare", + "e lim", + "el im", + "eli m", + "o ters", + "ot ers", + "ote rs", + "oter s", + "_ PC", + "_P C", + "% E", + "on click", + "Ġ SVG", + "ĠS VG", + "ĠSV G", + "Ġt opped", + "Ġto pped", + "Ġtop ped", + "Ġtopp ed", + "Ġf ist", + "Ġfi st", + "Ġfis t", + "s mart", + "sm art", + "ĠR alph", + "( owner", + "(o wner", + "j ours", + "jo urs", + "jour s", + "Ġbro nze", + "Ġbron ze", + "Ġ ArgumentException", + "ĠArgument Exception", + "( original", + "(origin al", + "(orig inal", + "(or iginal", + "_ SCALE", + "_S CALE", + "_SC ALE", + "_ cp", + "_c p", + "Ġrecomm ends", + "Ġrecommend s", + ".set Style", + "S ure", + "Sur e", + "Su re", + "L AND", + "LA ND", + "LAN D", + "Ġre peating", + "Ġrep eating", + "Ġrepe ating", + "Ġrepeat ing", + "M att", + "Mat t", + "Ma tt", + ". Visibility", + "Ġenter prises", + "Ġenterprise s", + ". Setup", + ".Set up", + "( scene", + "(s cene", + "(sc ene", + "ĠRe active", + "ĠReact ive", + "ur ge", + "urg e", + "b w", + ". Put", + ".P ut", + "p ersist", + "pers ist", + ". cookie", + ".c ookie", + ".co okie", + "ĠA udi", + "ĠAud i", + "ĠAu di", + "` s", + "s upplier", + "sup plier", + "( Form", + "(F orm", + " ¡", + "_ so", + "_s o", + "Į Ģ", + "ĠLeg ion", + "t te", + "tt e", + "N d", + "L oss", + "Lo ss", + "Los s", + "( attrs", + "(at trs", + "(attr s", + "(att rs", + ". scatter", + ".sc atter", + "Ġg room", + "Ġgr oom", + "Ġgro om", + "Ġgl impse", + "Ġglimps e", + "Ġn ails", + "Ġna ils", + "Ġnail s", + "Ġcum ulative", + "Ġf azer", + "Ġfa zer", + "Ġfaz er", + "_ services", + "_s ervices", + "_service s", + "_serv ices", + ". Num", + ".N um", + "ib ilit", + "ibil it", + "ibi lit", + "ibili t", + "_ resolution", + "_re solution", + "_res olution", + "Ġ Tx", + "ĠT x", + "um inium", + "umin ium", + "o pa", + "op a", + ". schedule", + ".s chedule", + "sm tp", + "ภķ", + "ur ry", + "urr y", + "ü k", + "g oog", + "go og", + "goo g", + "_ signature", + "_sign ature", + "_sig nature", + ". into", + ".in to", + ".int o", + "Ġ Steps", + "ĠSt eps", + "ĠSte ps", + "ĠStep s", + "Ġhome owners", + "Ġhomeowner s", + "Ġ NSURL", + "ĠNS URL", + "ĠP AC", + "ĠPA C", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĊĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĊĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĊĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĊĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĊĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĊ Ċ", + "> ')Ċ", + ">' )Ċ", + ">') Ċ", + "e nh", + "en h", + "Ġin cap", + "Ġinc ap", + "$ MESS", + "Ġm oins", + "Ġmo ins", + "Ġmoi ns", + "Ġ Fi", + "ĠF i", + "Ġoff season", + "pr essions", + "press ions", + "pression s", + "> .. < /", + "Ġpro vinces", + "Ġprov inces", + "Ġprovince s", + "Ġprovinc es", + "_ RAW", + "_R AW", + "_RA W", + "\\ App", + "Ġprostit uer", + "Ġprostitu er", + "_ gain", + "_g ain", + ".t encent", + "ff ects", + "ffect s", + "ffe cts", + "( pk", + "(p k", + "s ku", + "sk u", + "Ġ usable", + "Ġus able", + "Ġusa ble", + "ER VED", + "ERV ED", + "ERVE D", + "Ġant enna", + "Ġantenn a", + "h ea", + "he a", + "p list", + "pl ist", + "_ PLUGIN", + "_PL UGIN", + "Ñģ л", + ". lookup", + ".look up", + "á» ģ", + "Ġen larg", + "Ġp iss", + "Ġpi ss", + "Ġpis s", + "H am", + "Ha m", + "i map", + "im ap", + "ima p", + "Ġ invalidate", + "Ġin validate", + "Ġinvalid ate", + "Ġs ilk", + "Ġsi lk", + "Ġsil k", + "=\"# \">Ċ", + "=\"#\" >Ċ", + "=\"#\"> Ċ", + "ĠGr ass", + "ĠGra ss", + "Ġ Goal", + "ĠGo al", + "ĠGoa l", + "_ pdf", + "_p df", + "_pd f", + "Hand lers", + "Handler s", + "Handle rs", + "Ġst acks", + "Ġstack s", + "Ġsta cks", + ". getFullYear", + ".get FullYear", + "= [];Ċ", + "=[ ];Ċ", + "=[] ;Ċ", + "è½ ¦", + ", V", + "( split", + "(s plit", + "(sp lit", + "Ñĥн к", + "Ġbake ca", + "Ġbak eca", + "Ġ~ /.", + "Ġ~/ .", + "p ez", + "pe z", + "t ails", + "ta ils", + "tail s", + "ĠG len", + "ĠGl en", + "ĠGle n", + "Ġ setImage", + "Ġset Image", + "Ġ Comic", + "ĠC omic", + "ĠCom ic", + "ĠCo mic", + "B LOCK", + "BL OCK", + "ĉ This", + "ĉT his", + "o ader", + "oad er", + "oa der", + "Ġcapital ist", + "Ġcapita list", + "Ġcapit alist", + "_ STEP", + "_ST EP", + "( Boolean", + "Ġ Correct", + "ĠC orrect", + "ĠCor rect", + "r ina", + "ri na", + "rin a", + "Ġconc aten", + "Ġconcat en", + "å® ŀ", + "( ):ĊĊ", + "() :ĊĊ", + "():Ċ Ċ", + "(): ĊĊ", + "Ġun anim", + "Ġuna nim", + "l li", + "ll i", + "al ars", + "ala rs", + "alar s", + "- ne", + "-n e", + "Ġd ivor", + "Ġdi vor", + "Ġdiv or", + "ĠKick starter", + "] ._", + "]. _", + "< number", + " * * < /", + ": d", + "m di", + "md i", + "bind Value", + "Ġ Decision", + "ĠDe cision", + "ĠDec ision", + "Return Value", + ", index", + ",in dex", + "x fc", + "xf c", + "Ġse rum", + "Ġser um", + "get Field", + "Connection String", + "- object", + "-o bject", + "-ob ject", + ". recv", + ".re cv", + ".rec v", + "Ġunder graduate", + "Ġundergrad uate", + ". Infrastructure", + ".Inf rastructure", + "ĠK ab", + "ĠKa b", + "Ġadv isory", + "Ġadvis ory", + "Ġadvisor y", + "- tree", + "-t ree", + "-tr ee", + "Ġ mue", + "Ġm ue", + "Ġmu e", + "in form", + "info rm", + "inf orm", + ". embed", + ".em bed", + "Ġ errorCode", + "Ġerror Code", + "m icro", + "mi cro", + "mic ro", + "Ġsp arked", + "Ġspark ed", + "Ġspar ked", + "Ġimage ry", + "Ġimag ery", + "con c", + "co nc", + "_ missing", + "_m issing", + "_miss ing", + "Ġsur plus", + "K S", + "ĉR THOOK", + "ĉRT HOOK", + "T ell", + "Te ll", + "Tel l", + "r ium", + "ri um", + "Ġ Radius", + "ĠR adius", + "ĠRad ius", + "ĠRadi us", + "r ika", + "ri ka", + "rik a", + "los ion", + "ĠH ern", + "ĠHe rn", + "ĠHer n", + "G amma", + "Gam ma", + "Ga mma", + "Ġ Fee", + "ĠF ee", + "ĠFe e", + "Ġ Named", + "ĠN amed", + "ĠName d", + "ĠNa med", + "ĠNam ed", + "ĠCan yon", + "Ġ JSONArray", + "ĠJSON Array", + "Ġz wei", + "Ġzw ei", + "Ġzwe i", + "Ġ SSH", + "ĠS SH", + "ĠSS H", + "Ġser vant", + "Ġserv ant", + "co al", + "Ġden ying", + "Ġdeny ing", + "Ġs plits", + "Ġsplit s", + "Ġspl its", + "In correct", + "Inc orrect", + "Ġt ox", + "Ġto x", + "ĠAnal yst", + "ĠAnaly st", + "Ġacc red", + "Ġac cred", + "Ġaccr ed", + "u ble", + "ub le", + "ubl e", + "Ġ wt", + "Ġw t", + "Ġ Trial", + "ĠT rial", + "ĠTr ial", + "ĠTri al", + ". extension", + ".ext ension", + "Ġ Career", + "ĠCar eer", + "ĠCare er", + "Ġsec uring", + "ĠL il", + "ĠLi l", + "Ġpro jections", + "Ġproject ions", + "Ġproj ections", + "Ġprojection s", + "Ġproje ctions", + "Ġy east", + "Ġye ast", + "M ade", + "Ma de", + "Mad e", + "Ġfound ations", + "Ġfoundation s", + "ac ific", + "aci fic", + ". volume", + ".v olume", + ".vol ume", + "Ġmir rors", + "Ġmirror s", + "#### ############################################################################", + "######## ########################################################################", + "################ ################################################################", + "################################ ################################################", + "################################################################ ################", + "################################################ ################################", + "############################################################################ ####", + "######################################################################## ########", + "######################################## ########################################", + "######################## ########################################################", + "######################################################## ########################", + "Ġvi olate", + "Ġviol ate", + "ars ers", + "arse rs", + "arser s", + "Ġs ocio", + "Ġso cio", + "Ġsoc io", + "Ġsoci o", + "Ġtk inter", + "Ġ LINK", + "ĠL INK", + "ĠLI NK", + "ĠLIN K", + ". getSize", + ".get Size", + ".getS ize", + "Ġ Whole", + "ĠW hole", + "ĠWh ole", + "ĠWho le", + ")view DidLoad", + "ĉ done", + "ĉd one", + "ĉdo ne", + "ude au", + "\\ \"> < /", + "And rew", + "Andre w", + "e rb", + "er b", + "Ġf ö", + ". cluster", + ".cl uster", + "Ġdis course", + "Ġdisc ourse", + "Ġdiscour se", + "Ġdisco urse", + "_DE FIN", + "_DEF IN", + "Ġpued en", + "Ġpu eden", + "Ġpuede n", + "Ġ LOW", + "ĠL OW", + "ĠLO W", + ". av", + ".a v", + "Ġpr eca", + "Ġpre ca", + "Ġprec a", + "Ġ quo", + "Ġqu o", + "Ġq uo", + "Ġve loc", + "Ġvel oc", + ", ''", + ",' '", + "Ġ xyz", + "Ġx yz", + "Ġxy z", + "ĉ padding", + "ĉp adding", + "Ġtom atoes", + "Ġtomato es", + "ĠB ent", + "ĠBe nt", + "ĠBen t", + "_ curr", + "_c urr", + "_cur r", + "_cu rr", + "NS Date", + "Ġ getCurrent", + "Ġget Current", + "ĠgetC urrent", + "Ġ [`", + "Ġ[ `", + "Wed nesday", + ". Bar", + ".B ar", + "Ġ Vous", + "ĠV ous", + "ĠVo us", + "i nz", + "in z", + "ĠQu inn", + "ĠQui nn", + "ex cel", + "exc el", + "d os", + "do s", + "Ġout dated", + "O UTH", + "OUT H", + "OU TH", + "Ġ Maker", + "ĠM aker", + "ĠMake r", + "ĠMa ker", + "ĠMak er", + "ep endency", + "epend ency", + "Ġd ull", + "Ġdu ll", + "Ġdul l", + "ĠW inn", + "ĠWin n", + "ĠWi nn", + "o ge", + "og e", + "cl ave", + "cla ve", + "Ġ nova", + "Ġn ova", + "Ġno va", + "Ġnov a", + "Ġ aval", + "Ġa val", + "Ġav al", + "Ġava l", + "C apt", + "Cap t", + "Ca pt", + "ĠSp otify", + "ĠSpot ify", + "Ġj ul", + "Ġju l", + ") tableView", + ")t ableView", + "Ġf ilenames", + "Ġfile names", + "Ġfil enames", + "Ġfilename s", + "Ġesk ort", + "åij ¨", + "Ġsk ew", + "Ġske w", + "t erior", + "ter ior", + "te rior", + "teri or", + "Ġfin anc", + "Ġfinan c", + "Ġ tabla", + "Ġtab la", + "Ġta bla", + "ĠU IB", + "ĠUI B", + "Ġ ():", + "Ġ( ):", + "Ġ() :", + "ĠD ocker", + "ĠDo cker", + "ĠDoc ker", + "ĠDock er", + "per centage", + "percent age", + "Me et", + "i chi", + "ic hi", + "ich i", + "Ġinter im", + "Ġinte rim", + "Ġ' ='", + "Ġ'= '", + ". JSONObject", + ".JSON Object", + "( fid", + "(f id", + "(fi d", + "Ġd ownt", + "Ġdown t", + "Ġdow nt", + "Ġtrans ient", + "ĠSt eph", + "ĠSte ph", + "ĠStep h", + "Ġignor ance", + "Ġ Codes", + "ĠC odes", + "ĠCo des", + "ĠCode s", + "ĠCod es", + "= '',", + "=' ',", + "='' ,", + "Ġ ICE", + "ĠI CE", + "ĠIC E", + "Ġtran qu", + "Ġ Extended", + "ĠExt ended", + "ĠExtend ed", + "Ġ mund", + "Ġm und", + "Ġmu nd", + "Ġmun d", + "Ġ HOME", + "ĠH OME", + "ĠHO ME", + "Ġkil ometers", + "Ġkilomet ers", + "Ġ imagen", + "Ġim agen", + "Ġimage n", + "Ġimag en", + "Ġima gen", + "o ux", + "ou x", + "( sz", + "(s z", + "You ng", + "Yo ung", + "uff ed", + "uf fed", + "Ġ Wake", + "ĠW ake", + "ĠWa ke", + "ĠWak e", + "Ġa ide", + "Ġaid e", + "Ġai de", + "P ROC", + "PR OC", + "PRO C", + "ĠR at", + "ĠRa t", + "ĠL ith", + "ĠLi th", + "ĠLit h", + "b art", + "bar t", + "ba rt", + "Ġ Arrange", + "ĠAr range", + "ĠArr ange", + "p rompt", + "prom pt", + "Ð £", + "( ct", + "(c t", + "Ġ Interval", + "ĠInt erval", + "ĠInter val", + "d ept", + "de pt", + "dep t", + "D aniel", + "Dan iel", + "Dani el", + "Ġ fills", + "Ġf ills", + "Ġfil ls", + "Ġfill s", + ". tensor", + ".t ensor", + "( trim", + "(t rim", + "(tr im", + "Ġje alous", + "F eb", + "Fe b", + "\\ Common", + "Ġamendment s", + "Ġamend ments", + "_ operator", + "_op erator", + "_o perator", + "_oper ator", + "_ customize", + "_custom ize", + "Ġ ]]", + "Ġ] ]", + "Ġ bn", + "Ġb n", + "Ġdis appointment", + "Ġdisappoint ment", + "Ġmill enn", + ". when", + ".w hen", + ".wh en", + "Ġob ey", + "Ġobe y", + "Ġoff enders", + "Ġoffender s", + "Ġoffend ers", + "Ġoffen ders", + "W ild", + "Wil d", + "Wi ld", + "Ġcell For", + "Ġappar atus", + ". after", + ".a fter", + ".af ter", + "Ġ EPS", + "ĠE PS", + "ĠEP S", + "Ġad orable", + "ope rand", + "oper and", + "( listener", + "(list ener", + "ve al", + "Ġ )(", + "Ġ) (", + "Ġcardio vascular", + "uplic ates", + "uplicate s", + "r istol", + "rist ol", + "ris tol", + "Ġref uses", + "Ġrefuse s", + "( QWidget", + "(Q Widget", + "Ġel emento", + "Ġelement o", + "Ġelem ento", + "Number Of", + ". delay", + ".d elay", + ".de lay", + ".del ay", + ". groups", + ".g roups", + ".group s", + "\" >'+", + "\"> '+", + "\">' +", + "åĿ Ģ", + "ace ncy", + "ac ency", + "acen cy", + "( URL", + "(U RL", + "_ half", + "_h alf", + "_hal f", + "= l", + "Ġlist View", + "( section", + "(s ection", + "(se ction", + "(sec tion", + ". toArray", + ".to Array", + "+ /", + "ĠRodrig uez", + "i stream", + "ist ream", + "istr eam", + "Ġelig ibility", + ": :-", + ":: -", + ". newInstance", + ".new Instance", + "P B", + "Ġ Assets", + "ĠAs sets", + "ĠAss ets", + "ĠAsset s", + "Ġ Composite", + "ĠCom posite", + "ĠComp osite", + "ĠL abs", + "ĠLa bs", + "ĠLab s", + "ĠH amas", + "ĠHam as", + "ĠHa mas", + "++ );Ċ", + "++) ;Ċ", + "Ġ blk", + "Ġb lk", + "Ġbl k", + "Ġ Neo", + "ĠN eo", + "ĠNe o", + "L uc", + "Lu c", + "@ login", + "Ġun aware", + "Ġuna ware", + ". met", + ".m et", + ".me t", + "_ RELEASE", + "_RE LEASE", + "( ST", + "(S T", + "AM IL", + "AMI L", + "r ike", + "ri ke", + "rik e", + "Ġ (){Ċ", + "Ġ( ){Ċ", + "Ġ() {Ċ", + "Ġ(){ Ċ", + "( sprintf", + "(s printf", + "Ġ Accounts", + "ĠAc counts", + "ĠAccount s", + "Ġ VIEW", + "ĠV IEW", + "ĠVI EW", + "Ġ Aj", + "ĠA j", + "ãĤ °", + "Ġwh isk", + "Ġ idi", + "Ġi di", + "Ġid i", + "Ġr ode", + "Ġro de", + "Ġrod e", + "Ġ ihn", + "Ġi hn", + "Ġih n", + "ĠElement ary", + "Q ty", + "Qt y", + "Ġintrig uing", + "Ġ å¤", + "Ġå ¤", + "J obs", + "Job s", + "Jo bs", + "ĉ offset", + "ĉo ffset", + "ĠAh med", + "ĠTal iban", + "Ġ èİ·åıĸ", + "Ġè İ·åıĸ", + "Ġin jected", + "Ġinj ected", + "Ġinject ed", + ". Authentication", + ".Auth entication", + "_ linear", + "_l inear", + "_line ar", + "_lin ear", + "_li near", + ". Decimal", + ".D ecimal", + ".De cimal", + ".Dec imal", + "Ġapp les", + "Ġap ples", + "Ġappl es", + "Ġapple s", + "Ġshare holders", + "Ġshareholder s", + "Ġb aked", + "Ġba ked", + "Ġbake d", + "Ġbak ed", + ". diff", + ".d iff", + ".di ff", + "ĠE ddie", + "ĠEd die", + "o kers", + "ok ers", + "oke rs", + "oker s", + "Ġconfront ed", + "vo ices", + "voice s", + "Ġt us", + "Ġtu s", + "Ġ Spin", + "ĠS pin", + "ĠSp in", + "ĠSpi n", + "N ODE", + "NO DE", + "_ Un", + "_U n", + "C TX", + "CT X", + "/ google", + "/g oogle", + "/go ogle", + "T emperature", + "Tem perature", + "Ġ' ').", + "Ġ'' ).", + "Ġ'') .", + "Ġmagn ificent", + "Ġ startIndex", + "Ġstart Index", + "semb les", + "sem bles", + "semble s", + "sembl es", + "Any one", + "z k", + "e hen", + "eh en", + "ĠD ame", + "ĠDa me", + "ĠDam e", + ". strict", + ".str ict", + "Ġre places", + "Ġrep laces", + "Ġrepl aces", + "Ġreplace s", + "Ġline back", + "Ġpush es", + "Ġpus hes", + "Ġche ek", + "ĠS hi", + "ĠSh i", + "_ BYTES", + "_BY TES", + "_BYTE S", + "R EA", + "RE A", + "ả n", + "_CON NECTION", + "_CONNECT ION", + "G ateway", + "Gate way", + "ĠTr avis", + "ĠTra vis", + "ĠTrav is", + "Ġ AX", + "ĠA X", + "Ġ Basically", + "ĠBasic ally", + "ĠBas ically", + "Ġ Upgrade", + "ĠUp grade", + "à ª", + "th emes", + "the mes", + "theme s", + "them es", + "er mo", + "erm o", + "k or", + "ko r", + "F emale", + "Fe male", + "_ attach", + "_at tach", + "_att ach", + "ĠìĤ¬ ìļ©", + "Ġ poz", + "Ġp oz", + "Ġpo z", + "= =============Ċ", + "== ============Ċ", + "==== ==========Ċ", + "======== ======Ċ", + "=== ===========Ċ", + "============ ==Ċ", + "============= =Ċ", + "=========== ===Ċ", + "============== Ċ", + "========= =====Ċ", + "========== ====Ċ", + "====== ========Ċ", + "===== =========Ċ", + "======= =======Ċ", + "( symbol", + "(s ymbol", + "(sym bol", + "Ġ Sector", + "ĠS ector", + "ĠSe ctor", + "ĠSec tor", + "ĠSect or", + "__ )ĊĊ", + "__) ĊĊ", + "__)Ċ Ċ", + "_ padding", + "_p adding", + "_pad ding", + "ï¼ļ \"", + "Ġ fabs", + "Ġf abs", + "Ġfa bs", + "Ġfab s", + "Ġr anged", + "Ġrange d", + "Ġran ged", + "Ġrang ed", + "set Name", + "Ġp error", + "Ġper ror", + "Ġpe rror", + "â Ĺ", + "ĠFile Reader", + "Ġf ulfilled", + "Ġful filled", + "Ġfulfill ed", + "Ġfulfil led", + "_ Current", + "_C urrent", + "Ġdo minate", + "Ġdom inate", + "Ġdomin ate", + "Ġdomina te", + "Ġsm ugg", + "Post Mapping", + "_ force", + "_f orce", + "_for ce", + "Ġb loc", + "Ġbl oc", + "Ġblo c", + "ĠG iant", + "ĠGi ant", + "ĠGian t", + "ĠGia nt", + "( video", + "(v ideo", + "Ġ CU", + "ĠC U", + "System Service", + "Ġ elf", + "Ġe lf", + "Ġel f", + "Ġkont akt", + "ë ª", + "k ees", + "ke es", + "kee s", + "g tk", + "gt k", + "Ġparam Int", + "Ġ markup", + "Ġmark up", + "Ġmar kup", + "u ales", + "ual es", + "ua les", + "uale s", + "Ġaccount ed", + "Ġgang bang", + "RY PT", + "Ġ Wrong", + "ĠW rong", + "ĠWr ong", + "Ġ credited", + "Ġcr edited", + "Ġcred ited", + "Ġcredit ed", + "Ġ MESSAGE", + "ĠM ESSAGE", + "Ġf laws", + "Ġfl aws", + "Ġflaw s", + "Ġfla ws", + "Ġb bw", + "Ġbb w", + "Ġmet abolic", + "Ġmetab olic", + "Ġmetabol ic", + "ĠO EM", + "ĠOE M", + "/ event", + "/e vent", + "(C ollectors", + "mon ton", + "mo nton", + "mont on", + "monto n", + "ap pear", + "app ear", + "appe ar", + "Ġop ted", + "Ġopt ed", + "Ġc heat", + "Ġch eat", + "Ġche at", + "Ġd av", + "Ġda v", + "Ġ Proceed", + "ĠPro ceed", + "ĠProc eed", + "Ġ ê¸", + "Ġê ¸", + "an ked", + "ank ed", + "anke d", + "и з", + "an sk", + "ans k", + "Ġ Hang", + "ĠH ang", + "ĠHa ng", + "ĠHan g", + "ĠC ler", + "ĠCl er", + "ĠCle r", + "Ġdis gu", + "Ġdisg u", + "Ġc map", + "Ġcm ap", + ". cljs", + ".cl js", + "Ġa ument", + "Ġau ment", + "l ez", + "le z", + "Ġ Joined", + "ĠJ oined", + "ĠJo ined", + "ĠJoin ed", + "ĠJoi ned", + "_ received", + "_re ceived", + "_receive d", + "Ġa erial", + "Ġaer ial", + "Ġae rial", + "o tel", + "ot el", + "ote l", + "Ġg reet", + "Ġgre et", + "\" s", + "Ġ Genesis", + "ĠGen esis", + "ĠGene sis", + "ĠCal if", + "ĠCa lif", + "pan ion", + "Ġtail ored", + "Ġtailor ed", + "m apping", + "ma pping", + "map ping", + "and Expect", + ". track", + ".t rack", + ".tr ack", + "at omy", + "ato my", + "atom y", + "ĠO w", + "ul lah", + "ull ah", + "ulla h", + ". Yes", + ".Y es", + "Ġ SimpleName", + "ĠSimple Name", + "d bh", + "db h", + "' en", + "'e n", + "Ġn onsense", + "Ġnon sense", + "Ġnons ense", + "Ġphilosoph ical", + "( getContext", + "(get Context", + "Ġis so", + "Ġiss o", + "Ġ ACE", + "ĠA CE", + "ĠAC E", + "start Date", + "Ġb ÄĻd", + "ĠAUTH OR", + "ĠG lobe", + "ĠGl obe", + "ĠGlo be", + "ĠGlob e", + "Ġin sects", + "Ġins ects", + "Ġinsect s", + "Ġinse cts", + "_ Al", + "_A l", + "ush ing", + "ushi ng", + "è® °", + "/ Home", + "/H ome", + "ĠLocal Date", + "ne eded", + "need ed", + "nee ded", + "hes ive", + "Ġ illusion", + "Ġill usion", + "äº Į", + "Ġt rat", + "Ġtr at", + "Ġtra t", + "x o", + "/ detail", + "/d etail", + "/de tail", + "_ MATCH", + "_M ATCH", + "_MAT CH", + "Ġbroad band", + "Ġ wal", + "Ġw al", + "Ġwa l", + "ĠIllegal StateException", + "IRE CTION", + "IRECT ION", + "Ġnor theast", + "Ġnorth east", + "es ium", + "esi um", + "Ġ Cliente", + "ĠCl iente", + "ĠClient e", + "ĠCli ente", + "ul ance", + "ula nce", + "ulan ce", + "n ty", + "nt y", + "Ġt ecn", + "Ġte cn", + "Ġtec n", + "Device s", + "Dev ices", + "Ġgr ains", + "Ġgrain s", + "Ġgra ins", + "ĠO g", + "Ġ SEL", + "ĠS EL", + "ĠSE L", + "ud iant", + "udi ant", + "Ġ ++;Ċ", + "Ġ++ ;Ċ", + "Ġexplan ations", + "Ġexplanation s", + "o cco", + "oc co", + "occ o", + "Ġd iets", + "Ġdi ets", + "Ġdie ts", + "Ġdiet s", + "Ġco hort", + "Ġcoh ort", + "( controller", + "(cont roller", + "(control ler", + ". Iterator", + ".It erator", + ".Iter ator", + "- rich", + "-r ich", + "ro cess", + "roc ess", + "G D", + "Ġcar bohydr", + "Ġ fried", + "Ġf ried", + "Ġfr ied", + "Ġfri ed", + "ĠEm ployment", + "ĠEmp loyment", + "ĠEmploy ment", + "ìŀ ¥", + "ĠLeon ard", + "ĠLeo nard", + "_ ${", + "_$ {", + "qu ares", + "quare s", + "qua res", + "Ġcompan ions", + "Ġcompanion s", + "Ġp aris", + "Ġpar is", + "Ġpa ris", + "Ġpari s", + "Ġst imulation", + "Ġstim ulation", + "ĠZ oo", + "ĠZo o", + "Ġre levance", + "Ġrelev ance", + "Ġ Colour", + "ĠCol our", + "ĠColo ur", + "Ġs pear", + "Ġsp ear", + "Ġspe ar", + "ot ional", + "otion al", + "oti onal", + "Ġ Lite", + "ĠL ite", + "ĠLi te", + "ĠLit e", + "ĠK osten", + "ĠKo sten", + "ĠKos ten", + "Ġ ó", + "Ġà ³", + "_ attachment", + "_att achment", + "_attach ment", + "orph ic", + "orp hic", + "Ġda mit", + "Ġdam it", + "Ġ dlg", + "Ġd lg", + "Ġdl g", + "Ġth rive", + "Ġthr ive", + "CH ANGE", + "CHAN GE", + "Ġ Apparently", + "ĠApp arently", + "Ġa tual", + "Ġat ual", + "Ġro oted", + "Ġroot ed", + "( images", + "(image s", + "(im ages", + "a wi", + "aw i", + "ar iat", + "ari at", + "aria t", + "Ġch erry", + "Ġcher ry", + "ST ATIC", + "STAT IC", + "m nt", + "mn t", + "Ġ UserId", + "ĠUser Id", + "il let", + "ill et", + "ille t", + "ĠHis panic", + "ĠHispan ic", + "Ġ nak", + "Ġn ak", + "Ġna k", + "Ġcent ro", + "Ġcentr o", + "Ġcen tro", + "Ġ dims", + "Ġd ims", + "Ġdi ms", + "Ġdim s", + "_ initialize", + "_initial ize", + "ı k", + "ĠCent ers", + "ĠCenter s", + "R EN", + "RE N", + "Ġevolution ary", + "Ġ Topics", + "ĠTo pics", + "ĠTop ics", + "ĠTopic s", + "_ damage", + "_d amage", + "_da mage", + "e mer", + "em er", + "eme r", + "Ġr und", + "Ġrun d", + "Ġru nd", + "Ġpun ished", + "Ġpunish ed", + "Ġc ubic", + "Ġcu bic", + "Ġcub ic", + "f air", + "fa ir", + "[ ];ĊĊ", + "[] ;ĊĊ", + "[];Ċ Ċ", + "Ġin stantiate", + "Ġinstant iate", + "Ġover see", + "Ġovers ee", + "Ġoverse e", + "- delete", + "-de lete", + "-del ete", + "unt eer", + "unte er", + "start Time", + "Ġ Pipeline", + "ĠP ipeline", + "ĠPipe line", + "ĠPip eline", + "_ GAME", + "_G AME", + "ĠC ir", + "ĠCi r", + "ĉ Null", + "ĉN ull", + ". Formatting", + ".Format ting", + "uc umber", + "ĠR ide", + "ĠRid e", + "ĠRi de", + "Ġz oo", + "Ġzo o", + "Ġ checker", + "Ġcheck er", + "Ġche cker", + "åIJ Į", + "= C", + "Ġg rit", + "Ġgr it", + "Ġgri t", + "\" );//", + "\") ;//", + "\"); //", + "_ xy", + "_x y", + "Ġ Declaration", + "ĠDe claration", + "Ġ callable", + "Ġcall able", + "F oo", + "Fo o", + "Ġ ListItem", + "ĠList Item", + "Ġin accur", + "m lin", + "ml in", + "ĉ Data", + "ĉD ata", + "Ġev olving", + "a wan", + "aw an", + "awa n", + "Ġc afe", + "Ġca fe", + "Ġcaf e", + "f olk", + "fo lk", + "fol k", + "_ IDX", + "_ID X", + "_I DX", + "Ġ Anything", + "ĠAny thing", + "ĠPalest ine", + "ĠPalestin e", + "Ġ GridView", + "ĠGrid View", + "Ġcol ony", + "Ġcolon y", + "ĠGerman s", + "ĠGer mans", + "ĠGerm ans", + "( +", + ". pid", + ".p id", + ".pi d", + ". jsx", + ".j sx", + ".js x", + "ĠSup erior", + "ĠSuper ior", + "Christ ian", + "ĠL ect", + "ĠLe ct", + "ĉ Game", + "ĉG ame", + "Ġinstrument al", + "An imations", + "Animation s", + "Anim ations", + "д ал", + "да л", + "ĠM oses", + "ĠMo ses", + "ĠMos es", + "ĉĉ čĊĉĉčĊ", + "ĉĉčĊ ĉĉčĊ", + "z s", + "k te", + "kt e", + "ä¸ ļ", + "_ DIST", + "_D IST", + "_DIS T", + "_DI ST", + "b itmap", + "bit map", + "d B", + "Ġp ersistence", + "Ġpers istence", + "Ġpersist ence", + "ÑĢ оÑģ", + "ÑĢо Ñģ", + "$ l", + "B ron", + "Br on", + "Bro n", + "Ġ {|", + "Ġ{ |", + "_ chart", + "_c hart", + "_ch art", + "_char t", + "Ġ Consum", + "ĠCon sum", + "ĠCons um", + "Ġh emp", + "Ġhe mp", + "Ġhem p", + "Ġ \"))Ċ", + "Ġ\" ))Ċ", + "Ġ\") )Ċ", + "Ġ\")) Ċ", + "Ġatt ackers", + "Ġattack ers", + "Ġattacker s", + "Ġknowledge able", + "Ġc et", + "Ġce t", + "Ġvir uses", + "Ġvirus es", + "' I", + "Ġpitch er", + "Ġpit cher", + "Ġswe eping", + "Ġsweep ing", + "= list", + "=l ist", + "apt ops", + "aptop s", + ". depth", + ".de pth", + ".dep th", + "Ġinstruct ed", + "Ġ Rus", + "ĠR us", + "ĠRu s", + "benh avn", + "Ġ ин", + "Ġи н", + "S ports", + "Sp orts", + "Sport s", + "Spo rts", + "Ġon set", + "Ġons et", + "æĿ ĥ", + ". RED", + ".R ED", + ".RE D", + "_ si", + "_s i", + "ĠP ST", + "ĠPS T", + ". onChange", + ".on Change", + "> tag", + ">t ag", + "ĠR oh", + "ĠRo h", + "_ character", + "_char acter", + "ĠL aws", + "ĠLa ws", + "ĠLaw s", + "Ġ Bachelor", + "ĠB achelor", + "ĠBach elor", + "_ swap", + "_s wap", + "_sw ap", + ".re activex", + "Ġreward ing", + "Ġrew arding", + "M edium", + "Med ium", + "- [", + "Ġ Recently", + "ĠRec ently", + "ĠRecent ly", + "J oint", + "Join t", + "Jo int", + "part ition", + "Ġ Minutes", + "ĠMin utes", + "ĠMinute s", + "Ġ indo", + "Ġin do", + "Ġi ndo", + "Ġind o", + "Ġabsor bed", + "Ġabsorb ed", + "Ġ GN", + "ĠG N", + "_ IND", + "_IN D", + "_I ND", + "Ġs aber", + "Ġsa ber", + "Ġsab er", + "Ġsabe r", + "S pawn", + "Sp awn", + "out puts", + "output s", + "ĠJeff rey", + "Ġmed ieval", + "Ġmedi eval", + "h ed", + "he d", + "G uide", + "Gui de", + "Guid e", + "Gu ide", + "Ġpsych o", + "Ġpsy cho", + "Ġg lam", + "Ġgl am", + "E lim", + "El im", + "äd chen", + "_ plain", + "_p lain", + "_pl ain", + "Ġ Sau", + "ĠS au", + "ĠSa u", + "- four", + "-f our", + "Ġanaly zing", + "QUE RY", + "QU ERY", + "Ġtom ato", + "_ buttons", + "_button s", + "_but tons", + "V EN", + "VE N", + ". setStatus", + ".set Status", + ". Url", + ".U rl", + "+ ĊĊ", + "+Ċ Ċ", + "Ġcompl aining", + "Ġcomplain ing", + "d egree", + "de gree", + "deg ree", + "conf irmed", + "confirm ed", + "Ġsu bt", + "Ġsub t", + "p arsed", + "par sed", + "parse d", + "pars ed", + "Ġt orque", + "Ġtor que", + "Ġtrouble d", + "Ġtroub led", + "Ġtrou bled", + "Ġ TARGET", + "ĠT ARGET", + "ĠTAR GET", + "Ġtrad emarks", + "Ġtrade marks", + "Ġtrademark s", + "Ġ Coordinate", + "ĠCo ordinate", + "ĠCoord inate", + "ĠV iv", + "ĠVi v", + "Ġ //}ĊĊ", + "Ġ// }ĊĊ", + "Ġ//}Ċ Ċ", + "Ġapr ès", + ". getPosition", + ".get Position", + ".getP osition", + "( KeyCode", + "(Key Code", + "ĠSil va", + "Ġ meteor", + "Ġm eteor", + "Ġmet eor", + "Ġendorse ment", + "Ġendors ement", + "Over view", + "Ġ Poss", + "ĠP oss", + "ĠPo ss", + "ĠPos s", + ". Inject", + ".In ject", + "Ġeven ly", + "Ġ visualization", + "Ġvisual ization", + "Ġ wchar", + "Ġw char", + "Ġwc har", + "ĠH DMI", + "ĠHD MI", + "Ġf unct", + "Ġfun ct", + "Ġfunc t", + "ick name", + "',' ','", + "','', '", + "Ġfor wards", + "Ġforward s", + "Managed Object", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĉ server", + "ĉs erver", + "ĠOut look", + "ĠChron icle", + "ĠChronic le", + "Ġdub bed", + "Ġd ok", + "Ġdo k", + "ĠW ear", + "ĠWe ar", + ". AL", + ".A L", + "p aren", + "par en", + "pare n", + "pa ren", + ". Interface", + ".Inter face", + "Inter faces", + "Interface s", + ". cod", + ".c od", + ".co d", + "Ġd ib", + "Ġdi b", + ".Global ization", + "ĠAc ademic", + "ĠAcad emic", + "ĠAcadem ic", + "Ġas sms", + "Ġass ms", + "A utom", + "Auto m", + "Aut om", + "Au tom", + "Ġ lw", + "Ġl w", + "Ġ NW", + "ĠN W", + "Ġ&& čĊ", + "Ġproble ma", + "Ġproblem a", + "Ġprobl ema", + "ĠManufact uring", + "l imits", + "li mits", + "lim its", + "limit s", + "- mobile", + "-m obile", + "Ġ filme", + "Ġfil me", + "Ġfilm e", + "/ map", + "/m ap", + "Ġd oit", + "Ġdo it", + "Ġdoi t", + "ĠI nk", + "ĠIn k", + "Ġs ued", + "Ġsu ed", + "Ġsue d", + ". arr", + ".a rr", + ".ar r", + "Ġunder min", + "Ġ Proc", + "ĠP roc", + "ĠPro c", + "ĠPr oc", + "croll View", + "_ _$", + "__ $", + "Ġside walk", + "Ġsidew alk", + "( that", + "(t hat", + "(th at", + "ภ·", + "[ q", + "gram mar", + "Ġt ë", + "q uito", + "qu ito", + "quit o", + "qui to", + "Ġsp iral", + "Ġspir al", + "Ġspi ral", + "ext ended", + "extend ed", + "Ġf ocal", + "Ġfoc al", + "Ġfo cal", + "Ġdig ging", + "p as", + "pa s", + "ĠT all", + "ĠTal l", + "ĠTa ll", + ". proxy", + ".pro xy", + ".pr oxy", + "i tures", + "it ures", + "iture s", + "itu res", + "itur es", + "T RACT", + "TR ACT", + "TRA CT", + "Ġ Realm", + "ĠRe alm", + "ĠReal m", + "Ġf eder", + "Ġfe der", + "Ġfed er", + "Ġ oriented", + "Ġorient ed", + "Ġori ented", + "Ġ Alternative", + "ĠAltern ative", + "ĠAlter native", + "Ġ owe", + "Ġo we", + "Ġow e", + "Ġs ourced", + "Ġsource d", + "Ġsour ced", + "in ker", + "ink er", + "inke r", + ". det", + ".d et", + ".de t", + "S ep", + "Se p", + "Ġ Qui", + "ĠQ ui", + "ĠQu i", + "ĠPal mer", + "ĠPalm er", + "( _,", + "(_ ,", + "s amples", + "sample s", + "sam ples", + "samp les", + "o yer", + "oy er", + "ul lan", + "ull an", + "ulla n", + "q uez", + "qu ez", + "que z", + "Ed ges", + "Edge s", + "Ġsh out", + "Ġsho ut", + "Ġ Achie", + "ĠA chie", + "ĠAch ie", + "Ġ haar", + "Ġh aar", + "Ġha ar", + "_ Construct", + "_Con struct", + "Ġprem ature", + "Ġre vert", + "Ġrev ert", + "Ġreve rt", + "Ġrever t", + "' ).Ċ", + "') .Ċ", + "'). Ċ", + "Ġs chn", + "Ġsc hn", + "Ġsch n", + "filter ed", + "fil tered", + "filt ered", + "null ptr", + "S aved", + "Save d", + "Sa ved", + "it ecture", + "itect ure", + "C LA", + "CL A", + "Ġ vl", + "Ġv l", + "s tell", + "st ell", + "ste ll", + "ĉ Me", + "ĉM e", + "ĠL ip", + "ĠLi p", + "n ational", + "nat ional", + "nation al", + "Ġwh olly", + "Ġspr ings", + "Ġspring s", + ". Timer", + ".T imer", + ".Time r", + "ĉ src", + "ĉs rc", + "e lsen", + "el sen", + "else n", + "els en", + "åħ ¶", + "Ġcommunic ating", + "Ġ Quiz", + "ĠQu iz", + "ĠQui z", + "Ġt eng", + "Ġte ng", + "Ġten g", + "Ġg ez", + "Ġge z", + "Ġ Outside", + "ĠOut side", + "ĠOuts ide", + ". Sign", + ".S ign", + "( cs", + "(c s", + "Ġdisp utes", + "Ġdispute s", + "Ġdisput es", + "ĠWe iss", + "ĠWei ss", + "an nes", + "ann es", + "anne s", + "> No", + ">N o", + "ĠB ach", + "ĠBa ch", + "ĠBac h", + ".remove All", + "re fer", + "ref er", + "/ dashboard", + "/d ashboard", + "Ġ Ajax", + "ĠA jax", + "ĠAj ax", + "Index Changed", + "Ġ Weak", + "ĠWe ak", + "' \"Ċ", + "'\" Ċ", + "Ġs ights", + "Ġsight s", + "Ġsigh ts", + "access Token", + "ĠJ oi", + "ĠJo i", + "( domain", + "(d omain", + "(dom ain", + "(do main", + "ĉ cv", + "ĉc v", + "Ġcontin uation", + "Ġcontinu ation", + "Ġcontinua tion", + "Ġp lum", + "Ġpl um", + "Ġplu m", + "a dir", + "ad ir", + "adi r", + ". setMessage", + ".set Message", + "Ġ ï¼Į", + "Ġï¼ Į", + "Ġsw allow", + "Ġswal low", + "ĠL amp", + "ĠLa mp", + "ĠLam p", + "Ġ qw", + "Ġq w", + "Ġ uu", + "Ġu u", + "C oin", + "Co in", + "u bic", + "ub ic", + "ubi c", + "ĠDe als", + "ĠDeal s", + "r ace", + "ra ce", + "rac e", + "Ġdict ator", + "Ġm eme", + "Ġme me", + "Ġmem e", + "turn ed", + "tur ned", + "ĠJul ie", + "ĠJu lie", + "ĠJuli e", + ".grid Column", + "Ġp uppy", + "Ġpup py", + "Ġpu ppy", + "Ġp am", + "Ġpa m", + "Ġ ){čĊ", + "Ġ) {čĊ", + "Ġ){ čĊ", + "Ġinv iting", + "Ġinvit ing", + "Ġf rench", + "Ġfr ench", + "Ġfren ch", + "v im", + "vi m", + "Ġwr apping", + "Ġwrap ping", + "Ġ#- }Ċ", + "( [-", + "([ -", + "Ear ly", + "Ġsh iny", + "Ġshin y", + ". faces", + ".f aces", + ".face s", + ".fac es", + ".fa ces", + "Ġre bell", + "Ġreb ell", + "Ġrebel l", + "abc def", + "abcd ef", + "ä lt", + "äl t", + "Ġest imation", + "Ġestim ation", + "ph ys", + "phy s", + "los ures", + "losure s", + "_ REL", + "_RE L", + "_R EL", + "Ġex clusion", + "Ġexclus ion", + "Ġexcl usion", + "ĠSk ype", + "ĠSky pe", + "we ise", + "wei se", + "weis e", + "- stop", + "-s top", + "-st op", + "no thing", + "ĠE gg", + "ĠEg g", + "is ors", + "iso rs", + "isor s", + "Rich ard", + "Ġcounsel ing", + "Ġcom mem", + "Ġcomm em", + "Ġcomme m", + "ĠQ MessageBox", + "ĠSy nd", + "ĠSyn d", + "ĠF rost", + "ĠFr ost", + "ĠFro st", + "ĠCom petition", + "ĠCompet ition", + "ĠA wake", + "ĠAw ake", + "Ġ ted", + "Ġt ed", + "Ġte d", + "ic iones", + "ici ones", + "icio nes", + "icion es", + "ĠDev Components", + "VERTISE MENT", + "o tti", + "ot ti", + "ott i", + ". runner", + ".r unner", + ".run ner", + "Ġunique ly", + "Ġuniqu ely", + "Ġuniq uely", + ". flag", + ".f lag", + ".fl ag", + "ĉ rs", + "ĉr s", + "_ generic", + "_g eneric", + "_gen eric", + "_gene ric", + "_gener ic", + "Ġ` ``Ċ", + "Ġ`` `Ċ", + "Ġ``` Ċ", + "ACH INE", + "ACHI NE", + "Ġm ein", + "Ġme in", + "( Application", + "(App lication", + "( br", + "(b r", + "Ġrat ios", + "Ġratio s", + ": ,", + "ĠX CTest", + "ĠXCT est", + "ĠXC Test", + "ustain able", + "- www", + "-w ww", + "it les", + "itle s", + "_ TEMP", + "_T EMP", + "_TE MP", + "_TEM P", + "Ġs yst", + "Ġsys t", + "Ġsy st", + "umeric UpDown", + "ĉ assertTrue", + "ĉassert True", + "Ġ wf", + "Ġw f", + ". peek", + ".pe ek", + "ĠB ulg", + "ĠBul g", + "ĠBu lg", + "Ġterr ifying", + ". MODE", + ".M ODE", + ".MOD E", + "Ġ GW", + "ĠG W", + "á r", + "Ġ fic", + "Ġf ic", + "Ġfi c", + "Ġcommit ments", + "Ġcommitment s", + "- tech", + "-t ech", + "-te ch", + "Ġ Liquid", + "ĠL iquid", + "ĠLiqu id", + "o pez", + "op ez", + "ope z", + "z heimer", + "a ña", + "añ a", + "- media", + "-m edia", + "-me dia", + "-med ia", + "( animated", + "(an imated", + "_ goal", + "_go al", + "Ġg um", + "Ġgu m", + "y stone", + "yst one", + "ys tone", + ". SET", + ".S ET", + ".SE T", + "ĠW end", + "ĠWe nd", + "ĠWen d", + "set CellValue", + "Ġ msgs", + "Ġmsg s", + "Ġms gs", + "c ash", + "ca sh", + "cas h", + "AL LOC", + "ALL OC", + "/ aws", + "/a ws", + "Ġmicro wave", + "Ġmic rowave", + ". Pointer", + ".Point er", + "ĉ Console", + "ĉCon sole", + "_ sorted", + "_s orted", + "_sort ed", + "ĠF ilip", + "ĠFil ip", + "ĠFi lip", + "P rod", + "Pro d", + "Pr od", + "Ġ// !<", + "Ġ//! <", + "in group", + "ing roup", + "Ġ ks", + "Ġk s", + "_T RI", + "_TR I", + "Ġteas poon", + "Ġ ATT", + "ĠA TT", + "ĠAT T", + "Ġre covering", + "Ġrecover ing", + "Ġ GLOBAL", + "ĠG LOBAL", + ". Par", + ".P ar", + "Ġ/ >;Ċ", + "Ġ/> ;Ċ", + "Ġmar ble", + "ul ators", + "ula tors", + "ulator s", + "Ġ Cycle", + "ĠC ycle", + "ĠCy cle", + "ĠCycl e", + "ĠCyc le", + "Ġher bs", + "Ġherb s", + "_ metric", + "_m etric", + "_met ric", + ") !", + "_C LOCK", + "_CL OCK", + "_ Button", + "_B utton", + "H arry", + "Har ry", + "è¿ Ľ", + "Ġstr ains", + "Ġstrain s", + "Ġstra ins", + "Ġ AppBar", + "ĠApp Bar", + "Ġ Chan", + "ĠC han", + "ĠCh an", + "ĠCha n", + "/ video", + "/v ideo", + "Ġ bam", + "Ġb am", + "Ġba m", + ". Progress", + ".Pro gress", + "$ f", + "l emen", + "le men", + "lem en", + "leme n", + "Ġir regular", + "ĠD uncan", + "ĠDun can", + "ĠM int", + "ĠMin t", + "ĠMi nt", + "- video", + "-v ideo", + "ঠ¾", + "ó wn", + "ów n", + "Ġ EMPTY", + "ĠEM PTY", + "ĠEMP TY", + "Ġst acked", + "Ġstack ed", + "Ġ HA", + "ĠH A", + "_ cut", + "_c ut", + "_cu t", + "Ġwhere in", + "ĠW ays", + "ĠWay s", + "ĠWa ys", + "( counter", + "(c ounter", + "(count er", + "(co unter", + "è¯ ķ", + "Form Group", + "Ġb lew", + "Ġbl ew", + "Ġble w", + "c ourses", + "co urses", + "course s", + "cour ses", + "Ġ productos", + "Ġproduct os", + "Ġproducto s", + "r ys", + "ry s", + "Ġ Restr", + "ĠR estr", + "ĠRe str", + "ĠRes tr", + "ĠRest r", + "Ġst yling", + "Ġsty ling", + "Ġstyl ing", + "> s", + "Ġp iv", + "Ġpi v", + "Ġit ertools", + "Ġiter tools", + "get Repository", + "Ġ Ik", + "ĠI k", + "_ devices", + "_device s", + "_dev ices", + "lay ui", + "Ġhalf way", + "Ġfran ç", + "Ġt uning", + "Ġtu ning", + "Ġtun ing", + "O A", + "_ Node", + "_N ode", + "_No de", + "ar de", + "ard e", + "Ġf ierce", + "Ġfi erce", + "Ġfier ce", + "Ġfierc e", + "l icted", + "lic ted", + "lict ed", + "# čĊ", + "Ġbreak through", + "ĠE rik", + "ĠEr ik", + "Ġb ride", + "Ġbr ide", + "Ġbri de", + "Ġbrid e", + "Ġ .\"", + "Ġ. \"", + "c ulus", + "cul us", + "cu lus", + "in side", + "ins ide", + "insi de", + "ĠIndian apolis", + "Ġ EE", + "ĠE E", + "Ġy og", + "Ġyo g", + "ur ret", + "urre t", + "urr et", + ". fs", + ".f s", + ". grad", + ".g rad", + ".gr ad", + "_ cards", + "_c ards", + "_card s", + "_car ds", + "_ accuracy", + "_ac curacy", + "_acc uracy", + "_e pi", + "_ep i", + "qu eda", + "que da", + "/ org", + "/or g", + "/o rg", + "é ªĮ", + "éª Į", + "Ġcom pte", + "Ġcomp te", + "Ġcompt e", + ") )[", + ")) [", + "Out side", + "G reater", + "Great er", + "Gre ater", + "Ġ Renderer", + "ĠRender er", + ". actor", + ".a ctor", + ".ac tor", + ".act or", + "Account s", + "Ac counts", + "I dle", + "Id le", + "_ hours", + "_h ours", + "_hour s", + "er ner", + "ern er", + "erne r", + "J oined", + "Join ed", + "Jo ined", + "Ġme nj", + "Ġmen j", + "re quires", + "require s", + "requ ires", + "Ġ OPER", + "ĠO PER", + "ĠOP ER", + ".remove Child", + "ĉ sp", + "ĉs p", + "Ġ esse", + "Ġe sse", + "Ġes se", + "Ġess e", + "r ift", + "ri ft", + "rif t", + "x FE", + "xF E", + "ĠSh akespeare", + "____ ________", + "________ ____", + "Ġbudget s", + "Ġbud gets", + "Model State", + "fill able", + "- component", + "-com ponent", + "-comp onent", + "o cos", + "oc os", + "oco s", + "Ġ BUTTON", + "ĠB UTTON", + "ĠBUT TON", + "/ io", + "/i o", + ", out", + ",o ut", + "s ms", + "sm s", + "Th omas", + "Tho mas", + "ĠAr med", + "ĠArm ed", + "re sume", + "res ume", + "Ġrot ating", + "Ġ Vault", + "ĠV ault", + "ĠVa ult", + "Ġs eus", + "Ġse us", + "Ġseu s", + ". (*", + ".( *", + "Ġa mino", + "Ġam ino", + "Ġami no", + "Ġ[ ]);ĊĊ", + "Ġ[] );ĊĊ", + "Ġ[]) ;ĊĊ", + "Ġ[]);Ċ Ċ", + "Ġprov oc", + "n ox", + "no x", + ". GetEnumerator", + ".Get Enumerator", + "= ======Ċ", + "== =====Ċ", + "==== ===Ċ", + "=== ====Ċ", + "====== =Ċ", + "===== ==Ċ", + "======= Ċ", + "æĸ Ļ", + "_ scroll", + "_s croll", + "_sc roll", + "_scr oll", + "Ġfil med", + "Ġfilm ed", + "Ġfilme d", + "ĠS oci", + "ĠSo ci", + "ĠSoc i", + "g ap", + "ga p", + "g ro", + "gr o", + "V ote", + "Vo te", + "\" But", + "\"B ut", + "_ RC", + "_R C", + "An imal", + "Anim al", + " Ģ", + "ib ile", + "ibil e", + "ibi le", + "Ġaw aken", + "Ġawake n", + "o rest", + "or est", + "ore st", + "ores t", + "in ja", + "ĠI van", + "ĠIv an", + "( Command", + "Ġ *****", + "Ġ* ****", + "Ġ** ***", + "Ġ*** **", + "Ġ**** *", + "Î ·", + "Ġkv inder", + "Ġkvin der", + "Ġkvinde r", + "/ helpers", + "/h elpers", + "/help ers", + "/helper s", + "_ cases", + "_c ases", + "_case s", + "_ca ses", + "t g", + "ìĦ ¸", + "Register ed", + "ĉ pass", + "ĉp ass", + "_ digits", + "_d igits", + "_digit s", + "Ġcon tour", + "Ġcont our", + "Ġinf ants", + "Ġinfant s", + "Ġjust ification", + "Ġ Fortunately", + "ĠFort unately", + "Cont r", + "Con tr", + "ĠonCreate View", + "_ SAMPLE", + "_S AMPLE", + "_SAMPL E", + "Ġallow Null", + "Ġn ud", + "Ġnu d", + "Ġf etched", + "Ġfetch ed", + "Ġfet ched", + "_ equ", + "_e qu", + "_eq u", + "Ġ Unable", + "ĠU nable", + "ĠUn able", + "ĠUna ble", + "= \\\"\"", + "=\\\" \"", + "=\\ \"\"", + "> {Ċ", + ">{ Ċ", + "Ġcommit tees", + "Ġcommittee s", + "ist ema", + "iste ma", + "istem a", + "+ \".", + "+\" .", + "ÃŃ an", + "ÃŃa n", + "m ant", + "man t", + "ma nt", + "Ġsou theast", + "Ġsouth east", + "ï¼Į Ċ", + "dialog s", + "dia logs", + "PRO JECT", + "ch arger", + "char ger", + "charge r", + "charg er", + "- port", + "-p ort", + "-po rt", + "( uuid", + "(u uid", + ". export", + ".ex port", + ".exp ort", + "S ix", + "Si x", + "Ġ RP", + "ĠR P", + "P rem", + "Pr em", + "Pre m", + "Ġcon science", + "Ġconsc ience", + "Ġmargin Right", + "_ distribution", + "_d istribution", + "_dis tribution", + "y aml", + "ya ml", + "res izing", + "resi zing", + "D ock", + "Do ck", + "Doc k", + "Ġ Locations", + "ĠL ocations", + "ĠLocation s", + "ĠLoc ations", + "G Y", + "S eed", + "Se ed", + "See d", + "B UFFER", + "BUF FER", + "BUFF ER", + "os sip", + "oss ip", + "u llen", + "ul len", + "ull en", + "ulle n", + "Th ings", + "Thing s", + "Thin gs", + "- self", + "-s elf", + "-se lf", + ". poll", + ".p oll", + ".po ll", + ".pol l", + "PL AYER", + "PLAY ER", + "Ġ å®", + "Ġå ®", + "G ROUP", + "Ġ Away", + "ĠA way", + "ĠAw ay", + "Ġg ospel", + "x fd", + "xf d", + "M ary", + "Mar y", + "Ma ry", + "Ġ Portable", + "ĠPort able", + "ĠPor table", + "T URE", + "TU RE", + "Ġutil is", + "Ġut ilis", + "Ġse it", + "Ġsei t", + "Ġ strand", + "Ġs trand", + "Ġst rand", + "Ġstr and", + "Ġstran d", + "Ġstra nd", + "Ġtrans c", + "Ġtran sc", + "Ġ (^", + "Ġ( ^", + "ĠAl fred", + "ĠAlf red", + ". mem", + ".m em", + ".me m", + ". circle", + ".c ircle", + "Ġ ~/", + "Ġ~ /", + "for cing", + "forc ing", + "Ġ riot", + "Ġr iot", + "Ġri ot", + "Ġrio t", + "p rox", + "pr ox", + "pro x", + "TH ON", + "iz ación", + "iza ción", + "Ġ NI", + "ĠN I", + "r ost", + "ro st", + "ros t", + "Ġdis pro", + "Ġdisp ro", + "_ instances", + "_in stances", + "_instance s", + "_inst ances", + "ï¼Į âĢľ", + "ograph er", + "ogra pher", + "en das", + "end as", + "enda s", + "ĠIs aac", + "ĠIsa ac", + "ĠP ine", + "ĠPin e", + "ĠPi ne", + "/ dis", + "/d is", + "Ġcolor With", + "it erate", + "ite rate", + "iter ate", + "_ stride", + "_st ride", + "_str ide", + "Ġp unto", + "Ġpun to", + "Ġpunt o", + ". EventArgs", + ".Event Args", + "( center", + "(c enter", + "Ġneighb oring", + "Ġneighbor ing", + "ĠPr ison", + "ĠPri son", + "Ġ Messenger", + "ĠM essenger", + "ĠMess enger", + "Ġepid emic", + "Ġepidemi c", + "d ao", + "da o", + "_ complex", + "_com plex", + "_comp lex", + "Ġg ravel", + "Ġgr avel", + "Ġgrave l", + "Ġgra vel", + "Ġgrav el", + "_D IP", + "_DI P", + "é ment", + "ém ent", + "ĠA ri", + "ĠAr i", + "_ bitmap", + "_b itmap", + "_bit map", + ". quit", + ".q uit", + ".qu it", + "( valid", + "(val id", + "(va lid", + "Ġ pend", + "Ġp end", + "Ġpe nd", + "Ġpen d", + "Ġrespir atory", + "Ġre bound", + "Ġreb ound", + "Default Value", + "ãĥ Ń", + "Ġcom mits", + "Ġcomm its", + "Ġcommit s", + ". tests", + ".t ests", + ".test s", + ".te sts", + "_ fr", + "_f r", + "i tet", + "it et", + "ite t", + ". sf", + ".s f", + "Ġspace craft", + "c ritical", + "cri tical", + "cr itical", + "crit ical", + "Ġde pressed", + "Ġdep ressed", + "Ġdepr essed", + "Ġdepress ed", + "ĠAny Object", + "Ġu nb", + "Ġun b", + "Ġdis cern", + "Ġdisc ern", + "( mysql", + "(m ysql", + "(my sql", + "L atin", + "La tin", + "Lat in", + "ĠB og", + "ĠBo g", + "ĠWild life", + "To File", + "ToF ile", + "i oxid", + "iox id", + "@ RestController", + "Ġ\" $(", + "Ġ\"$ (", + "Ġ <<\"", + "Ġ< <\"", + "Ġ<< \"", + "Ġdef ects", + "Ġdefe cts", + "Ġdefect s", + "Ġ datum", + "Ġd atum", + "Ġdat um", + "h in", + "hi n", + "Ġreal izar", + "Ġrealiz ar", + "Ġrealiza r", + "any ahu", + "anya hu", + "Ġ Sig", + "ĠS ig", + "ĠSi g", + "@ Data", + "ad aptive", + "ada ptive", + "adapt ive", + "ĠC atherine", + ". cr", + ".c r", + "Ġ COOKIE", + "ĠCO OKIE", + "Ġ pictured", + "Ġp ictured", + "Ġpicture d", + "Ġpict ured", + "ĠF ighter", + "ĠFight er", + "Query able", + "Ġ Anyway", + "ĠAny way", + "ĠGL FW", + "_ namespace", + "_n amespace", + "_name space", + "_names pace", + "_ ft", + "_f t", + "Ġ ])", + "Ġ] )", + "O rganization", + "Organ ization", + "Ġconstit utes", + "Ġconstitu tes", + "Ġconstitute s", + "Ġqu and", + "Ġqua nd", + "Ġquan d", + "( chunk", + "(ch unk", + "\" />čĊ", + "\"/ >čĊ", + "\"/> čĊ", + "ĠL akes", + "ĠLa kes", + "ĠLake s", + "ĠLak es", + "main window", + "Car thy", + "Cart hy", + "s pin", + "sp in", + "spi n", + "( csv", + "(c sv", + "(cs v", + ": red", + ":r ed", + "- commerce", + "-com merce", + "-comm erce", + "ภ¹", + "Ġdis covering", + "Ġdiscover ing", + "Ġ eco", + "Ġe co", + "Ġec o", + "_ fac", + "_f ac", + "_fa c", + "ince ton", + "inc eton", + "ĠGreen s", + "ĠGre ens", + "ĠGree ns", + "j wt", + "Ø µ", + "ĠBron cos", + "Ġ Goods", + "ĠG oods", + "ĠGo ods", + "ĠGood s", + "( GTK", + "(G TK", + "Ġ returnValue", + "Ġreturn Value", + "Ġsi empre", + "Ġne utr", + "Ġneu tr", + "Ġneut r", + "w ent", + "we nt", + "wen t", + "ĠN atal", + "ĠNa tal", + "ĠNat al", + "Ġenthusi astic", + "Ġenthusiast ic", + "á» į", + "F N", + "/ database", + "/d atabase", + "/data base", + "/dat abase", + "C atalog", + "Cat alog", + "Ġb run", + "Ġbr un", + "Ġbru n", + "ĠK ash", + "ĠKa sh", + "ĠKas h", + "_ Pl", + "_P l", + "isc rim", + ", width", + ",w idth", + "Ġin mates", + "Ġinmate s", + "Ass ignment", + "Assign ment", + "ĠH aven", + "ĠHave n", + "ĠHa ven", + "ĠHav en", + "Ġplay ground", + "ex am", + "@ Controller", + "ul iar", + "uli ar", + "ulia r", + ". getParent", + ".get Parent", + ".getP arent", + "Ġ \";ĊĊ", + "Ġ\" ;ĊĊ", + "Ġ\";Ċ Ċ", + "Ġ\"; ĊĊ", + ": size", + ":s ize", + "iss ors", + "issor s", + "Ġf is", + "Ġfi s", + "Ġ alc", + "Ġa lc", + "Ġal c", + "ens ation", + "ensa tion", + "ĠN ixon", + "ĠNi xon", + "Ġ mighty", + "Ġmight y", + "- str", + "-s tr", + "-st r", + "_ special", + "_s pecial", + "_sp ecial", + "_spec ial", + "_ ADC", + "_A DC", + "_AD C", + "Ġ Twig", + "ĠT wig", + "ĠTw ig", + "um bling", + "umb ling", + "- address", + "-add ress", + "-ad dress", + "Ġher oin", + "Ġhero in", + "Y TE", + "YT E", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "F riend", + "Fri end", + "Ġ ave", + "Ġa ve", + "Ġav e", + "Ġ PNG", + "ĠP NG", + "ĠPN G", + "ĠKur dish", + "ĠKurd ish", + "DataSet Changed", + "Ġbl ades", + "Ġblade s", + "Ġbla des", + "b ral", + "br al", + "bra l", + "S team", + "St eam", + "Ste am", + "Ġs igu", + "Ġsi gu", + "Ġsig u", + "IRT UAL", + "a cos", + "ac os", + "aco s", + "U DP", + "UD P", + "( database", + "(d atabase", + "(data base", + "(dat abase", + "h ec", + "he c", + "Ġ Strings", + "ĠString s", + "ĠStr ings", + "_ scalar", + "_s calar", + "_sc alar", + "_scal ar", + "ĉ desc", + "ĉd esc", + "ĉdes c", + "ĉde sc", + "Ġ TLS", + "ĠT LS", + "ĠTL S", + "; \"Ċ", + ";\" Ċ", + "ĠCor byn", + "Simple Name", + "u ell", + "ue ll", + "uel l", + "Ġ Entre", + "ĠEn tre", + "ĠEnt re", + "ĠEntr e", + "ell ites", + "ellite s", + "elli tes", + "- place", + "-p lace", + "-pl ace", + "Ġfrank ly", + "ĠE rf", + "ĠEr f", + "C EL", + "CE L", + "Ġpa ÃŃs", + "Ġh edge", + "Ġhe dge", + "Ġhed ge", + "Ġ latent", + "Ġla tent", + "Ġlate nt", + "Ġlat ent", + "Ġlaten t", + "Ġ IRQ", + "ĠIR Q", + "ĠH erald", + "ĠHer ald", + "ĠHera ld", + "Ġ Prec", + "ĠP rec", + "ĠPr ec", + "ĠPre c", + "ë³ ´", + ". TEXT", + ".T EXT", + "S alary", + "Sal ary", + "Ġaut umn", + "Ġtr avail", + "Ġtra vail", + "Ġtrav ail", + "Ġtrava il", + ". Sum", + ".S um", + "Ġc ared", + "Ġcar ed", + "Ġca red", + "Ġcare d", + "M or", + "Mo r", + "Ġint uitive", + "Ġintuit ive", + "Ġj ournals", + "Ġjournal s", + "_ IT", + "_I T", + "Ġ Trou", + "ĠT rou", + "ĠTr ou", + "ĠTro u", + "ä¼ ł", + "Has ColumnName", + "Com posite", + "Comp osite", + "Ġsp ice", + "Ġspi ce", + "_ disk", + "_d isk", + "_dis k", + "_di sk", + "_CODE S", + "_CO DES", + "_COD ES", + "Ġ Introduced", + "ĠInt roduced", + "ĠIntro duced", + "i ona", + "ion a", + "io na", + "Ġn uestra", + "Ġnue stra", + "Ġnuest ra", + "Ġnues tra", + "o ct", + "oc t", + "ĠĠĠĠ ĊĠĠĠĠĊĠĠĠĠĊ", + "ĠĠĠĠĊ ĠĠĠĠĊĠĠĠĠĊ", + "ĠĠĠĠĊĠĠĠĠĊ ĠĠĠĠĊ", + "( parameter", + "(param eter", + "(para meter", + "Ġst udios", + "Ġstud ios", + "Ġstudio s", + "Ġstudi os", + "Ġ projectId", + "Ġproject Id", + "Ġbd sm", + ".Sql Client", + "im izer", + "imize r", + "imi zer", + "imiz er", + "Ġ CARD", + "ĠC ARD", + "ĠCA RD", + "ĠCAR D", + "+ t", + "a an", + "aa n", + ". sol", + ".s ol", + ".so l", + "_ Adjust", + "_Ad just", + "Ġright eous", + "Ġ Logging", + "ĠLog ging", + ". filters", + ".f ilters", + ".filter s", + ".fil ters", + "_ TAB", + "_T AB", + "_TA B", + "ĉ sys", + "ĉs ys", + "rop hic", + "roph ic", + "o therapy", + "other apy", + "Ġ Browse", + "ĠB rowse", + "ĠBrow se", + "key board", + "R ON", + "RO N", + "+ \\", + "r opped", + "ro pped", + "rop ped", + "ropp ed", + "Ġext ensively", + "Ġextensive ly", + "f k", + "Ġ lime", + "Ġl ime", + "Ġli me", + "Ġlim e", + "y ears", + "year s", + "ye ars", + "E xc", + "Ex c", + "Ġs ph", + "Ġsp h", + "Ġch eating", + "Ġche ating", + "Ġcheat ing", + "an dro", + "and ro", + "andr o", + "ÃŃ o", + "Ġpr ince", + "Ġpri nce", + "Ġprin ce", + "Ġprinc e", + "o ire", + "oi re", + "oir e", + "Ġ Destination", + "ĠD estination", + "ĠDest ination", + "ĠCon verts", + "ĠConvert s", + "ĠConv erts", + "Ġup stream", + "o led", + "ol ed", + "ole d", + "Ġserv ants", + "Ġservant s", + "Ġ semantic", + "Ġsem antic", + "Ġcr unch", + "Ġeven tual", + "Ġevent ual", + "r unner", + "run ner", + "/ error", + "/e rror", + "S pin", + "Sp in", + "Spi n", + "Ġsecret ly", + "Ġ assemble", + "Ġas semble", + "Ġass emble", + ". Person", + ".P erson", + ".Per son", + "end error", + "ender ror", + "ende rror", + "_ <", + "Ġp endant", + "Ġpend ant", + "S leep", + "ĠChem istry", + "Ġboss es", + "Ġbos ses", + "l k", + ") )),Ċ", + ")) ),Ċ", + "))) ,Ċ", + "))), Ċ", + "Block ly", + "DE VICE", + "DEV ICE", + "Ġreflect ing", + "Ġ ample", + "Ġam ple", + "Ġampl e", + "Ġamp le", + "M illiseconds", + "Mill iseconds", + "ĠPres idential", + "ĠPresident ial", + "Ġ usuarios", + "Ġus uarios", + "Ġusuario s", + "Ġusu arios", + "Ġ NZ", + "ĠN Z", + "Ġ Salary", + "ĠS alary", + "ĠSal ary", + "ĠSala ry", + "ĠA manda", + "ĠAm anda", + "ĠAma nda", + "_ np", + "_n p", + "j ury", + "ju ry", + "jur y", + "Ġk ön", + "Ġkö n", + "Ġther apist", + "Ġtherap ist", + "Ġhom osexual", + "Ġhomosex ual", + "Ġhomo sexual", + "ĠDr ake", + "ĠDra ke", + "- window", + "-w indow", + "Ġ Located", + "ĠLoc ated", + "ĠLocate d", + ". Driver", + ".D river", + "Ġ VIDEO", + "ĠV IDEO", + "ĠVID EO", + "Ġmer chants", + "Ġmerch ants", + "Ġmerchant s", + "ĠC hest", + "ĠCh est", + "ĠChe st", + "ĠChes t", + "- lock", + "-l ock", + "-lo ck", + "/ php", + "/p hp", + "/ph p", + "Ġmil ano", + "Ġmilan o", + "_ STYLE", + "_ST YLE", + "ar ger", + "arg er", + "arge r", + "i dea", + "id ea", + "ide a", + "G UID", + "GUI D", + "GU ID", + "ad vanced", + "adv anced", + "advance d", + "me al", + "Options ItemSelected", + "= '%", + "=' %", + "ĠC ham", + "ĠCh am", + "ĠCha m", + ": data", + ":d ata", + "( stat", + "(s tat", + "(st at", + "Will Appear", + "Ġinf ormal", + "Ġinform al", + "a ji", + "aj i", + "Ġre productive", + "Ġrepro ductive", + "Ġ CAS", + "ĠC AS", + "ĠCA S", + "ãģ £", + "F UNC", + "FUN C", + "FU NC", + "ĠR uth", + "ĠRu th", + "ĠRut h", + ") +(", + ")+ (", + "CON ST", + "CO NST", + "CONS T", + "Ġ Fans", + "ĠF ans", + "ĠFa ns", + "ĠFan s", + "Ġ groupId", + "Ġgroup Id", + "x ffffffff", + "xf fffffff", + "xff ffffff", + "xffff ffff", + "xffffff ff", + "Ġs ampler", + "Ġsample r", + "Ġsam pler", + "Ġsamp ler", + "Ġ}} \">", + "Ġ}}\" >", + ". the", + ".t he", + ".th e", + "Ġh ollow", + "Ġhol low", + "W AY", + "WA Y", + "Ġ Faculty", + "ĠFac ulty", + "Attrib utedString", + "Ġ Looks", + "ĠL ooks", + "ĠLo oks", + "ĠLook s", + "ĠR ex", + "ĠRe x", + "j k", + "ĠM IL", + "ĠMI L", + "Ġ bard", + "Ġb ard", + "Ġbar d", + "Ġba rd", + ". Long", + ".L ong", + ".Lo ng", + "Ġli vest", + "Ġlive st", + "Ġlives t", + "Ġliv est", + "Ġs kal", + "Ġsk al", + "Ġska l", + "ic ism", + "ici sm", + "M AIN", + "MA IN", + "Ġmuch o", + "Ġmu cho", + "Ġmuc ho", + "B ODY", + "BO DY", + "Ġ ese", + "Ġe se", + "Ġes e", + "ĉ use", + "ĉu se", + "ĉus e", + "F oot", + "Foo t", + "Fo ot", + ". SQLException", + ".SQL Exception", + "Ġin heritance", + "Ġinherit ance", + "re ceived", + "receive d", + "rece ived", + "Ġp utas", + "Ġput as", + "Ġpu tas", + "Ġputa s", + "e dis", + "ed is", + "edi s", + "a lsa", + "al sa", + "als a", + "Ġ ErrorMessage", + "ĠError Message", + "Bo oking", + "Book ing", + "Ġ tract", + "Ġt ract", + "Ġtr act", + "Ġtra ct", + "a cz", + "ac z", + "ĠC ant", + "ĠCan t", + "ĠCa nt", + "_ regex", + "_reg ex", + "Ġide ological", + "Ġj ihad", + "Ġji had", + "Ġjih ad", + "h os", + "ho s", + "/ sys", + "/s ys", + "co lm", + "col m", + "( pool", + "(p ool", + "(po ol", + "Ġest án", + "Ġestá n", + "Ġ Pending", + "ĠP ending", + "ĠPen ding", + "ĠPend ing", + "em ás", + "Ġktó ry", + ") );ĊĊĊ", + ")) ;ĊĊĊ", + "));Ċ ĊĊ", + "));ĊĊ Ċ", + ")); ĊĊĊ", + "trans actions", + "transaction s", + "Ġw ield", + "Ġwie ld", + "Ġwi eld", + "Ġwiel d", + "i tere", + "it ere", + "ite re", + "iter e", + "er ture", + "ert ure", + "_ ss", + "_s s", + "Ġstretch ing", + "Ġstret ching", + "Ġpr isoner", + "Ġprison er", + "Ġpris oner", + ".Read All", + "Ġb esch", + "Ġbe sch", + "Ġbes ch", + "-- ;čĊ", + "--; čĊ", + "Ġcr isp", + "Ġcri sp", + "Ġcris p", + "_ SCAN", + "_S CAN", + "_SC AN", + "Ġ ae", + "Ġa e", + "Str ict", + "ĠMin neapolis", + "ĠBo eing", + "a ris", + "ar is", + "ari s", + "r ek", + "re k", + "_ pipe", + "_p ipe", + "_pi pe", + "Ġpri ests", + "Ġpriest s", + "( EIF", + "(E IF", + "eh icles", + "ehicle s", + "Ġ Interactive", + "ĠInter active", + "b etween", + "bet ween", + "ĉNull Check", + "ĠBl air", + "Ġ Lt", + "ĠL t", + "_ inline", + "_in line", + "eth yl", + " ¼", + "_ packages", + "_p ackages", + "_package s", + "_pack ages", + "Ġbar rels", + "Ġbarrel s", + "Ġbarr els", + "_ he", + "_h e", + "Ġ regexp", + "Ġreg exp", + "Ġregex p", + "_ pts", + "_p ts", + "_pt s", + "_ Handler", + "_H andler", + "_Handle r", + "ing ular", + "ingu lar", + "ĠN issan", + "ĠR anch", + "ĠRan ch", + "Ġper ch", + "Ġpe rch", + "Ġperc h", + "Un supported", + "S mith", + "Sm ith", + "ĠLeg ends", + "ĠLegend s", + "M i", + "Ġ gf", + "Ġg f", + "st eder", + "ste der", + "sted er", + "Ġac quiring", + "Ġacqu iring", + "Ġs imulator", + "Ġsim ulator", + "Ġsimul ator", + "( ),\"", + "() ,\"", + "(), \"", + "re ceive", + "rece ive", + "Ġin place", + "Ġinp lace", + "A CTION", + "AC TION", + "ACT ION", + "Ġ WebDriver", + "ĠWeb Driver", + "file system", + "files ystem", + "< Order", + "l open", + "lo pen", + "lop en", + "lope n", + "Ġ HEIGHT", + "ĠHE IGHT", + ".set Border", + "į °", + "__ [\"", + "__[ \"", + "Ġ clamp", + "Ġc lamp", + "Ġcl amp", + "Ġclam p", + "Ġcla mp", + "Seg oe", + "b ands", + "ba nds", + "ban ds", + "band s", + "to List", + "am ba", + "amb a", + "> '+Ċ", + ">' +Ċ", + ">'+ Ċ", + "Ġ credible", + "Ġcred ible", + "a mat", + "am at", + "ama t", + "pl aying", + "play ing", + "pla ying", + ".setImage Resource", + "q uel", + "qu el", + "que l", + "Ġpo dr", + "Ġpod r", + "ge om", + "geo m", + "E k", + "ĠQ atar", + "Ġg eld", + "Ġge ld", + "Ġgel d", + "? ',Ċ", + "?' ,Ċ", + "?', Ċ", + "Ġc yl", + "Ġcy l", + "( ax", + "(a x", + "Ġ WI", + "ĠW I", + "ur ally", + "ural ly", + "ĠBr asil", + "ĠBra sil", + "ĠBras il", + "Ġs enza", + "Ġsen za", + "a ley", + "al ey", + "ale y", + "o nen", + "on en", + "one n", + "Ġ bah", + "Ġb ah", + "Ġba h", + "Ġm olecule", + "Ġmolec ule", + "R ad", + "Ra d", + "è¿ °", + "AN CH", + "ANC H", + "- background", + "-back ground", + "- agent", + "-a gent", + "-ag ent", + "-age nt", + "Ġprol ifer", + ": boolean", + "Ġt ide", + "Ġti de", + "Ġtid e", + "erial izer", + "erialize r", + "_ ;čĊ", + "_; čĊ", + "F ee", + "Fe e", + "* *)", + "** )", + "er gy", + "erg y", + "ĠH onor", + "ĠHon or", + "ĠHo nor", + ". Logging", + ".Log ging", + "i ris", + "ir is", + "iri s", + "Ġunder mine", + "Ġundermin e", + "ĠD y", + "Ġt yr", + "Ġty r", + "Ġ deque", + "Ġde que", + "Ġd amer", + "Ġda mer", + "Ġdam er", + "Ġdame r", + "( [])Ċ", + "([ ])Ċ", + "([] )Ċ", + ".layout ControlItem", + ".layoutControl Item", + "p eated", + "pe ated", + "peat ed", + "C AN", + "CA N", + "ra gments", + "rag ments", + "ragment s", + "L and", + "La nd", + ") ]);Ċ", + ")] );Ċ", + ")]) ;Ċ", + "ĠS ah", + "ĠSa h", + "Ġ DECL", + "ĠDE CL", + "ĠDEC L", + "With in", + "Wi thin", + "Ġ Namespace", + "ĠN amespace", + "ĠName space", + "ĠNames pace", + "an other", + "ano ther", + "semb ling", + "sem bling", + "sembl ing", + ". describe", + ".de scribe", + ".des cribe", + "Con sum", + "Cons um", + "Ġ Fear", + "ĠF ear", + "ĠFe ar", + "g iven", + "gi ven", + "give n", + "O range", + "Or ange", + "< boolean", + " This", + ">T his", + "Ġdata Index", + "Ġprint able", + "Ġprin table", + "ĠE yes", + "ĠEye s", + "ĠEy es", + "_ targets", + "_target s", + "_tar gets", + "( Py", + "(P y", + ". over", + ".o ver", + ".ov er", + "Ġ bru", + "Ġb ru", + "Ġbr u", + "am pton", + "amp ton", + "Ġplaint iff", + "< Key", + " );Ċ", + ">) ;Ċ", + "in vest", + "inv est", + ". *ĊĊ", + ".* ĊĊ", + ".*Ċ Ċ", + "Ġt élé", + "Ġté lé", + "Ġsu perf", + "Ġsuper f", + "Ġ cascade", + "Ġc ascade", + "Ġcas cade", + "Ġcasc ade", + "D TD", + "DT D", + "Ġv ivid", + "Ġvi vid", + "Ġviv id", + "Ġsubsid ies", + "Ġsubsidi es", + "ĠH ass", + "ĠHas s", + "ĠHa ss", + "Ġcol laps", + "Ġcoll aps", + "Ġcer amic", + "{ }\".", + "{} \".", + "ĠLeak age", + "- trash", + "-tr ash", + "-tra sh", + "c ollapsed", + "coll apsed", + "collapse d", + "- social", + "-s ocial", + "-so cial", + "ĠC had", + "ĠCh ad", + "ĠCha d", + "Ġinc lined", + "Ġincl ined", + "Ġ sto", + "Ġs to", + "Ġst o", + "Ġstory board", + ". payment", + ".p ayment", + ".pay ment", + "stack overflow", + "ĠRa iders", + "ĠRaid ers", + "ĠRaider s", + "ĠRai ders", + "Ġ #'", + "Ġ# '", + "ol icies", + "olic ies", + "oli cies", + "ìľ¼ ë¡ľ", + "e map", + "em ap", + "ema p", + "Ġ kj", + "Ġk j", + "Ġ quota", + "Ġqu ota", + "Ġquot a", + "Ġquo ta", + "ĠGar dens", + "ĠGarden s", + "ĠGard ens", + "ë² Ī", + "ĠAng els", + "ĠAnge ls", + "ĠAngel s", + "Ġ oft", + "Ġo ft", + "Ġof t", + "Ġlower case", + "Ġ iParam", + "Ġi Param", + "ĠiP aram", + "Ġche apest", + "Ġcheap est", + "un ta", + "unt a", + "_ pkt", + "_p kt", + "_pk t", + "ic ators", + "ica tors", + "icator s", + "Ġ leurs", + "Ġl eurs", + "Ġle urs", + "Ġleur s", + "Ġdecre ases", + "Ġdecrease s", + "ĉ define", + "ĉdef ine", + "ĉde fine", + "P REC", + "PR EC", + "PRE C", + "am mers", + "amm ers", + "ammer s", + "Ġ PreparedStatement", + "ĠPre paredStatement", + "ĠPrepared Statement", + "( direction", + "(d irection", + "(dir ection", + "(di rection", + "Ġcr ews", + "Ġcre ws", + "Ġcrew s", + "ar ked", + "ark ed", + "ĠMem phis", + "Ġ Sell", + "ĠS ell", + "ĠSe ll", + "ĠSel l", + "G TK", + "GT K", + "Ġ maid", + "Ġm aid", + "Ġma id", + "Ġmai d", + ": disable", + ":d isable", + "éĽ Ĩ", + "ĠP f", + "Ġal beit", + "op enh", + "open h", + "ope nh", + "?> \">Ċ", + "?>\" >Ċ", + ". getSource", + ".get Source", + ".getS ource", + "( scale", + "(s cale", + "(sc ale", + "D u", + "ĠP IL", + "ĠPI L", + "_ refresh", + "_re fresh", + "_ref resh", + "Ġb ets", + "Ġbe ts", + "Ġbet s", + "( car", + "(c ar", + "(ca r", + "ĠV on", + "ĠVo n", + "| --------------------------------------------------------------------------Ċ", + "ĠG rat", + "ĠGr at", + "ĠGra t", + "M uch", + "Mu ch", + "( Dialog", + "(D ialog", + ".stop Propagation", + "Ġ tek", + "Ġt ek", + "Ġte k", + "Ġex its", + "Ġexit s", + "' ],$", + "'] ,$", + "'], $", + "Ġ phoneNumber", + "Ġphone Number", + "u cs", + "uc s", + "e cimal", + "ec imal", + "eci mal", + "- -------------", + "-- ------------", + "---- ----------", + "-------- ------", + "--- -----------", + "------------ --", + "----- ---------", + "---------- ----", + "------ --------", + "----------- ---", + "------------- -", + "------- -------", + "--------- -----", + "i np", + "in p", + ".po jo", + "Ġcor pus", + "Ġcorp us", + "Ġpractition ers", + "Ġpractitioner s", + ". pic", + ".p ic", + ".pi c", + "\" testing", + "Ġstring By", + ". NotNull", + ".Not Null", + "Ġ rang", + "Ġr ang", + "Ġran g", + "Ġra ng", + ". Dynamic", + ".D ynamic", + "_ Render", + "_R ender", + "_Re nder", + "а ÑĤа", + "аÑĤ а", + "Wait ing", + "Wa iting", + "Ġ Wik", + "ĠW ik", + "ĠWi k", + "Ġoverwhel med", + "Ġoverwhelm ed", + "% \">", + "%\" >", + "Ġ AE", + "ĠA E", + "} }>Ċ", + "}} >Ċ", + "}}> Ċ", + "u w", + "_ typ", + "_t yp", + "_ty p", + "Ġ buckets", + "Ġb uckets", + "Ġbucket s", + "Ġbuck ets", + "Ġg reeting", + "Ġgre eting", + "Ġgreet ing", + "Ġ laughter", + "Ġla ughter", + "Ġlaugh ter", + "Ġant agon", + "ugg estion", + "uggest ion", + "- email", + "-e mail", + "-em ail", + "ĉ top", + "ĉt op", + "ĉto p", + "Ġ eros", + "Ġe ros", + "Ġer os", + "Ġero s", + "_ tri", + "_t ri", + "_tr i", + "Ġiss uing", + "Ġissu ing", + "Ġ há", + "Ġh á", + "Ġis olate", + "Ġisol ate", + "Ġiso late", + "Over flow", + ", E", + "Ġnut ritional", + "Ġnutrition al", + "Ġnutrit ional", + "ĠAbb ott", + "Ġ nf", + "Ġn f", + ". touch", + ".t ouch", + ".to uch", + ".fetch all", + "_ zip", + "_z ip", + "\" )}Ċ", + "\") }Ċ", + "\")} Ċ", + "Ġ amat", + "Ġa mat", + "Ġam at", + "Ġama t", + "Ġ Cisco", + "ĠC isco", + "Ġn Ã¥", + "P LEX", + "PL EX", + "PLE X", + "Ġ sei", + "Ġs ei", + "Ġse i", + "f oto", + "fo to", + ". toJson", + ".to Json", + "å¤ ļ", + "ĠK lein", + "ĠKle in", + "ĠKl ein", + "Ġ libc", + "Ġli bc", + "Ġlib c", + "Ġm iners", + "Ġmin ers", + "Ġmi ners", + "Ġmine rs", + "Ġminer s", + "å ¢", + "- print", + "-p rint", + "-pr int", + "ĠP ride", + "ĠPr ide", + "ĠPri de", + "T odos", + "To dos", + "Todo s", + "Ġ masked", + "Ġmask ed", + "Ġmas ked", + "Ġ setData", + "Ġset Data", + "Ġtele fon", + "Ġtel efon", + "Ġun happy", + "Ġunh appy", + "Ġ Tables", + "ĠT ables", + "ĠTable s", + "ĠTab les", + "ĠTa bles", + "g eb", + "ge b", + "( debug", + "(de bug", + "_ allowed", + "_all owed", + "_allow ed", + "- access", + "-a ccess", + "-ac cess", + "Ġlog istics", + "Ġlogistic s", + "Ġ gems", + "Ġg ems", + "Ġge ms", + "Ġgem s", + "ĠM ature", + "ĠMat ure", + "ĠMa ture", + "Ġ rsp", + "Ġr sp", + "Ġrs p", + "Ġ Alle", + "ĠA lle", + "ĠAl le", + "ĠAll e", + ". getBytes", + ".get Bytes", + ".getBy tes", + "\\ web", + "ynchron ized", + "ynchronize d", + "Par agraph", + "Para graph", + "Ġth rottle", + "Ġthr ottle", + "Ġthrott le", + ". sqlite", + ".sql ite", + "cons ulta", + "consult a", + "ĠS eah", + "ĠSe ah", + "ĠSea h", + "C e", + "Ġsub mar", + "E RE", + "ER E", + "V ous", + "Vo us", + "Ġ reddit", + "Ġre ddit", + "Ġred dit", + "Ġredd it", + "Ġsql alchemy", + "- mile", + "-m ile", + "oc ide", + "oci de", + "P our", + "Po ur", + "} }\">Ċ", + "}} \">Ċ", + "}}\" >Ċ", + "st ead", + "ste ad", + "Ġ @(", + "Ġ@ (", + "Ġ [])", + "Ġ[ ])", + "Ġ[] )", + "Ġ Ads", + "ĠA ds", + "ĠAd s", + "Ġover load", + "Ġoverl oad", + "r idden", + "ri dden", + "rid den", + "ĠDe sert", + "ĠDes ert", + "Ġ Wrap", + "ĠW rap", + "ĠWr ap", + "ĠPortug uese", + "e tz", + "et z", + "ĉ first", + "ĉf irst", + "ĉfi rst", + "Ġm ilestone", + "Ġmil estone", + "Ġmiles tone", + "Ġmile stone", + "æĹ ł", + "Ñĥ Ñī", + "( success", + "(s uccess", + "< Vector", + " \")Ċ", + ">\" )Ċ", + ">\") Ċ", + "ĠD ollar", + "ĠDol lar", + "ĠDoll ar", + "Ġ emoji", + "Ġem oji", + "Ġemo ji", + "Car ousel", + "- player", + "-p layer", + "-play er", + "-pl ayer", + "Ġadjust ing", + "Ġadj usting", + "Ġj uga", + "Ġju ga", + "Ġjug a", + "allenge s", + "alleng es", + "allen ges", + "g ene", + "ge ne", + "gen e", + "(body Parser", + "lo pedia", + "lop edia", + "lope dia", + "Ġ Behind", + "ĠBe hind", + "ĠBeh ind", + "Ġslee ves", + "Ġsleeve s", + "Ġdrag ging", + "ĠChe vrolet", + "Ġ biz", + "Ġb iz", + "Ġbi z", + "iv ities", + "ivi ties", + "Ġ Frequency", + "ĠF requency", + "ĠFrequ ency", + ", char", + ",c har", + ",ch ar", + ". WHITE", + ".W HITE", + "_ preview", + "_p review", + "_pr eview", + "_pre view", + "_prev iew", + ") ';Ċ", + ")' ;Ċ", + "_ ax", + "_a x", + "I ONS", + "ION S", + "IO NS", + ". cpu", + ".c pu", + ".cp u", + ". inputs", + ".in puts", + ".input s", + "U BE", + "UB E", + "_ feed", + "_f eed", + "_fe ed", + "_fee d", + "ĠSup plement", + "! ).", + "!) .", + "e sus", + "es us", + "Ġ UDP", + "ĠU DP", + "ĠUD P", + "Ġmicro phone", + "Ġconf irms", + "Ġconfirm s", + ".is NotEmpty", + "\" :\"\",Ċ", + "\": \"\",Ċ", + "\":\" \",Ċ", + "\":\"\" ,Ċ", + "_ SCREEN", + "_S CREEN", + "_SC REEN", + "ĉ expected", + "ĉex pected", + "ĉexpect ed", + "ĉexp ected", + "+-+- +-+-", + "ĠH ait", + "ĠHa it", + "ĠHai t", + "fast call", + "Ġdep ict", + "v b", + "_ picture", + "_p icture", + "_pic ture", + "ĉ description", + "ĉd escription", + "ĉdes cription", + "ĉde scription", + "ĠW ife", + "ĠWi fe", + "u ci", + "uc i", + "Ġv icious", + "Ġvic ious", + "ä» ĸ", + "u eba", + "ue ba", + "Ġset User", + "ãģ ¡", + "Ġd iving", + "Ġdi ving", + "Ġdiv ing", + "Ġop era", + "Ġoper a", + "user content", + "a rah", + "ar ah", + "ara h", + ") },", + ")} ,", + "y un", + "yu n", + "v elt", + "ve lt", + "vel t", + "Ġun covered", + "Ġuncover ed", + "Ġ hips", + "Ġh ips", + "Ġhi ps", + "Ġhip s", + "Ġosc ill", + "Ġassert ing", + "Ġ Xi", + "ĠX i", + ". restore", + ".re store", + ".rest ore", + "k ea", + "ke a", + "Ġsp elling", + "Ġspell ing", + "Ġspel ling", + "Ġ derive", + "Ġde rive", + "Ġder ive", + "Ġderiv e", + "ab we", + "ĠD ow", + "ĠDo w", + ". setType", + ".set Type", + "_ vs", + "_v s", + "Ġc ozy", + "Ġco zy", + "Ġcoz y", + ". categories", + ".c ategories", + "O rg", + "Or g", + "_ mgr", + "_m gr", + "Ġd ungeon", + "Ġdung eon", + "collection View", + "Ġ Blank", + "ĠBl ank", + "ac ias", + "aci as", + "acia s", + "ä ä", + "_ cleanup", + "_c leanup", + "_clean up", + "_ACT IVITY", + "_ACTIV ITY", + "Ġtri angles", + "Ġtriangle s", + "Ġtriang les", + ". MenuItem", + ".Menu Item", + "Ġ iphone", + "Ġi phone", + "Ġip hone", + "Ġ Won", + "ĠW on", + "ĠWo n", + "] ]ĊĊ", + "]] ĊĊ", + "]]Ċ Ċ", + "Ġ Comparison", + "ĠCom parison", + "ĠCompar ison", + ". Doc", + ".D oc", + ".Do c", + "Ġ canonical", + "Ġcan onical", + "Ġcanon ical", + "ĠSu dan", + "ĠSud an", + "' ){", + "') {", + "Up Inside", + "b uiltin", + "built in", + "E NCY", + "EN CY", + "ENC Y", + "x be", + "xb e", + "Ġch uck", + "Ġchu ck", + "Ġcontrad ict", + "Ġcontra dict", + "Ġnu estro", + "Ġnue stro", + "Ġnuest ro", + "Ġnues tro", + "Ġarchitect ural", + "ĠF ib", + "ĠFi b", + "Ġcomp ares", + "Ġcompar es", + "Ġcompare s", + "* k", + "C fg", + "çĦ ¡", + "n ten", + "nt en", + "nte n", + "M atches", + "Match es", + "Mat ches", + "Ġ DOWNLOAD", + "ĠDOWN LOAD", + "_HANDLE R", + "_HAND LER", + "man agement", + "manage ment", + "mana gement", + "[ S", + "E NG", + "EN G", + "ÂĢ Â", + "f ang", + "fa ng", + "fan g", + "Ġsl ipped", + "Ġslip ped", + "ĠL anka", + "ĠLan ka", + "esc aping", + "Ġtack les", + "Ġtackle s", + "ĠPe dro", + "ĠPed ro", + ". Prop", + ".P rop", + ".Pro p", + ".Pr op", + ". ''", + ".' '", + ". Generated", + ".G enerated", + ".Generate d", + ".New Guid", + "at rigesimal", + "il lon", + "ill on", + "illo n", + "Ġstat istic", + "Ġstatist ic", + "s pecies", + "sp ecies", + "spec ies", + "spe cies", + "h olding", + "hold ing", + "hol ding", + "Dr upal", + "Ġfundament ally", + "Ġfundamental ly", + "Ġbond age", + "Ġres olutions", + "Ġresolution s", + "Inline Data", + "\\ Type", + "es tion", + "est ion", + "esti on", + ". wrap", + ".w rap", + ".wr ap", + "Ġwar riors", + "Ġwarrior s", + "Ġ LOCAL", + "ĠLO CAL", + "ĠLOC AL", + "A rchive", + "Arch ive", + "Arc hive", + "Ġembr aced", + "Ġembrace d", + "á» §", + ". Ver", + ".V er", + "ĠAff ordable", + "ole sale", + "oles ale", + "Ġ Applied", + "ĠApp lied", + "ĠAp plied", + "ĠAppl ied", + "Ġ Conversion", + "ĠCon version", + "ĠConv ersion", + "ĠConvers ion", + "m ega", + "me ga", + "meg a", + "_ cam", + "_c am", + "_ca m", + "Ġcer emon", + "Ġcere mon", + "a urus", + "au rus", + "aur us", + "ĠV olk", + "ĠVol k", + "ĠVo lk", + ". opens", + ".open s", + ".op ens", + "/ about", + "/a bout", + "Ġ Std", + "ĠS td", + "ĠSt d", + "j ournal", + "jo urnal", + "jour nal", + "( )){čĊ", + "() ){čĊ", + "()) {čĊ", + "()){ čĊ", + ", \"\\", + ",\" \\", + "( Arrays", + "(Array s", + "ĠD ense", + "ĠDen se", + "ase ña", + "än ner", + "änn er", + "/ stat", + "/s tat", + "/st at", + "user Data", + "Ġg erman", + "Ġger man", + "Ġgerm an", + "Ġ tz", + "Ġt z", + "w orthy", + "worth y", + "wort hy", + "wor thy", + "Format Exception", + "ph erd", + "pher d", + "phe rd", + "Ġsm iles", + "Ġsmile s", + "Ġ Whenever", + "ĠWh enever", + "ĠWhen ever", + "ĠWhe never", + "( adapter", + "(ad apter", + ".bad logic", + "Ġbrief ing", + ". GridColumn", + ".Grid Column", + "- char", + "-c har", + "-ch ar", + "d imension", + "dim ension", + "ĠC opper", + "ĠCo pper", + "ĠCop per", + "ĠCopp er", + "Ġn inth", + "Ġni nth", + "Ġnin th", + "Ġ' {{", + "Ġ'{ {", + "Ġ rav", + "Ġr av", + "Ġra v", + "_ Table", + "_T able", + "_Tab le", + "Ġderiv atives", + "Ġderivative s", + "Ġ Raise", + "ĠR aise", + "ĠRa ise", + "ĠRai se", + "ĠF ut", + "ĠFu t", + "ar mor", + "arm or", + "- padding", + "-p adding", + "-pad ding", + "Ġre min", + "Ġr emin", + "Ġrem in", + "ĉ style", + "ĉst yle", + "Ġ Membership", + "ĠMember ship", + "ĠMembers hip", + "Ġsp reads", + "Ġspread s", + "Ġspre ads", + "Ġg alleries", + "Ġgall eries", + "ĠClark e", + "ĠClar ke", + "Ġcon ception", + "Ġconcept ion", + "Ġconce ption", + "min ute", + "Ġab usive", + "_ adj", + "_a dj", + "_ad j", + "Ġterr ific", + "Ġo vert", + "Ġover t", + "Ġov ert", + "our cing", + "Ġ entrada", + "Ġent rada", + "Ġentr ada", + "Ġentra da", + "level s", + "lev els", + "Ġcrit ique", + "Ġres pects", + "Ġrespect s", + "Ġresp ects", + "ĠM MA", + "ĠMM A", + "i ene", + "ie ne", + "ien e", + "Ġen caps", + "Ġenc aps", + "ĠRay mond", + "Div ider", + "Di vider", + "i vable", + "iv able", + "iva ble", + "b az", + "ba z", + "Ġ@ _;Ċ", + "Ġ@_ ;Ċ", + "ĠCl aire", + "ĠCla ire", + "ĠClair e", + "Ġur ging", + "Ġurg ing", + "C EE", + "CE E", + "Ġtrans former", + "Ġtransform er", + "dis cord", + "disc ord", + "ĠJ ourney", + "t os", + "to s", + "Ġcompet itions", + "Ġcompetition s", + "Ġcompetit ions", + "Ġ OBJ", + "ĠO BJ", + "ĠOB J", + "ĠB is", + "ĠBi s", + "Ġrelax ation", + "i dy", + "id y", + "_ INSTANCE", + "_IN STANCE", + "_INST ANCE", + "Ġ Pref", + "ĠP ref", + "ĠPr ef", + "ĠPre f", + "d ados", + "da dos", + "dad os", + "ici encies", + "ĠMedia Query", + "Ġ Cube", + "ĠC ube", + "ĠCub e", + "ĠCu be", + "Ġ Strange", + "ĠSt range", + "ĠStr ange", + "ĠStra nge", + "g pu", + "gp u", + "( days", + "(d ays", + "(day s", + "(da ys", + "_ InitStruct", + "_Init Struct", + "Ġf ingerprint", + "Ġfinger print", + "e mat", + "em at", + "ema t", + "ĠG ecko", + "ĠGe cko", + "Ġ rails", + "Ġr ails", + "Ġrail s", + "Ġra ils", + "ĠL um", + "ĠLu m", + "s traction", + "st raction", + "str action", + "stract ion", + "stra ction", + "ig ung", + "igu ng", + "( movie", + "(m ovie", + "_ dictionary", + "_d ictionary", + "_ interrupt", + "_int errupt", + "_inter rupt", + "Ġ QC", + "ĠQ C", + "i ked", + "ik ed", + "ike d", + "append Child", + "rec ipient", + "r é", + "V e", + "Ġt owel", + "Ġto wel", + "Ġtow el", + ".last IndexOf", + "Ġplace bo", + "Ġplac ebo", + "Ġ Wie", + "ĠW ie", + "ĠWi e", + ". esp", + ".e sp", + ".es p", + "( Debug", + "oper ative", + "Ġde ceased", + "Ġdece ased", + "& id", + "ĉ mutex", + "ĉm utex", + "e lic", + "el ic", + "eli c", + "Ġb apt", + "Ġba pt", + "ĉ čĊčĊ", + "ĉčĊ čĊ", + "Ġfar ther", + "Ġfart her", + "H alf", + "Ha lf", + "Hal f", + ". disable", + ".d isable", + ".dis able", + ".menu Strip", + "le ccion", + "lec cion", + "Ġ resultCode", + "Ġresult Code", + "Ġc ans", + "Ġcan s", + "Ġca ns", + "- election", + "-e lection", + "-elect ion", + "-el ection", + "f emale", + "fe male", + "_ FIX", + "_F IX", + "aus ible", + "Ġ POWER", + "ĠP OWER", + "ĠPO WER", + "ĠPOW ER", + "Ġre construction", + "Ġrecon struction", + "Ġreconstruct ion", + "Ġsc ans", + "Ġscan s", + "Ġsca ns", + ".Xtra Bars", + "âĢĺ s", + "Re moved", + "Rem oved", + "Remove d", + "Ġpara graphs", + "Ġparagraph s", + "_ margin", + "_m argin", + "_mar gin", + "Ġl ymph", + "Ġly mph", + "Ġ bos", + "Ġb os", + "Ġbo s", + "l ington", + "ling ton", + "ĠBapt ist", + "Ġadvertis ements", + "Ġadvertisement s", + "Ġadvertise ments", + "Ġ Manage", + "ĠMan age", + "ĠMa nage", + "ĠMana ge", + "/ yyyy", + "/y yyy", + "I OUS", + "IO US", + "EN CES", + "ENCE S", + "ENC ES", + "ĠF iction", + "ĠFi ction", + "ĉ menu", + "ĉm enu", + "ĉme nu", + "ĠFile OutputStream", + "o van", + "ov an", + "ova n", + "ĠF eng", + "ĠFe ng", + "ĠFen g", + "Ġsk ipping", + "Ġskip ping", + "Ġski pping", + "get Class", + "getC lass", + "an ni", + "ann i", + "Ġre bounds", + "Ġreb ounds", + "Ġrebound s", + "Ġpublic ity", + "Ġpub licity", + "Ġpubli city", + "Ġin gres", + "Ġing res", + "Ġingr es", + "us ement", + "use ment", + "Ġthought ful", + ". Chart", + ".C hart", + ".Ch art", + ".Char t", + "Ġh atte", + "Ġha tte", + "Ġhat te", + "pass port", + "pas sport", + "Ġhook ed", + "Ġho oked", + "Ġ Lens", + "ĠL ens", + "ĠLe ns", + "ĠLen s", + "Ġflag ship", + "Ġflags hip", + "Ġs tip", + "Ġst ip", + "Ġ GEN", + "ĠG EN", + "ĠGE N", + "Ġcl ues", + "Ġclue s", + "i pv", + "ip v", + "ĠR ise", + "ĠRi se", + "ĠRis e", + "ĠG ew", + "ĠGe w", + "table name", + "tab lename", + "tabl ename", + "Ġfore most", + "_ validate", + "_valid ate", + "_ analysis", + "_an alysis", + "o lla", + "ol la", + "oll a", + "Ġqual ifications", + "Ġqualification s", + "Ġd istributions", + "Ġdistrib utions", + "Ġdistribution s", + "ĠF lower", + "ĠFl ower", + "ĠFlo wer", + "ĠFlow er", + "Ġt ense", + "Ġten se", + "Ġtens e", + "Ġthank ful", + "Ġcl utch", + "Ġun ified", + "ro ads", + "road s", + "Ġs iti", + "Ġsit i", + "Ġsi ti", + "Ġst all", + "Ġsta ll", + "Ġstal l", + "_P RIORITY", + "_PRI ORITY", + "c stdlib", + "_ USERNAME", + "_USER NAME", + ". bytes", + ".by tes", + ".byte s", + "? page", + "?p age", + "er malink", + "erm alink", + "ermal ink", + "ĠVe get", + "ĠVeg et", + "/v nd", + "- author", + "-a uthor", + "-auth or", + "-aut hor", + ". NONE", + ".N ONE", + ".NO NE", + "ĠCon current", + "ĠConc urrent", + "ĠC ry", + "ĠCr y", + "Ġst arters", + "Ġstart ers", + "Ġstar ters", + "Ġstarter s", + "Ġ Interaction", + "ĠInter action", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "Ġ LEVEL", + "ĠLE VEL", + "E ll", + "El l", + "Ġ comboBox", + "Ġcom boBox", + "Ġcombo Box", + "ĠThe resa", + "ĠTh eresa", + "ĠThere sa", + "ĠTher esa", + "t ek", + "te k", + "_ Handle", + "_H andle", + "Ġ aby", + "Ġa by", + "Ġab y", + ".g dx", + ", end", + ",e nd", + ",en d", + "( Local", + "(L ocal", + "O l", + "kn ife", + "a rial", + "ar ial", + "ari al", + "aria l", + "ĠH off", + "ĠHo ff", + "ĠHof f", + "Ġprostituer ade", + "Do ctor", + "Doc tor", + "In stances", + "Instance s", + "Inst ances", + ". SetValue", + ".Set Value", + "ĉ from", + "ĉf rom", + "ĉfr om", + "Ġlux urious", + "In dent", + "Ind ent", + "Al locator", + "All ocator", + "Alloc ator", + "_ DRAW", + "_D RAW", + "_DR AW", + "(\" ,\",", + "(\", \",", + "(\",\" ,", + "ĠF rances", + "ĠFr ances", + "ĠFrance s", + "ĠFranc es", + "ĠFra nces", + "ĠFran ces", + "Ġ groupBox", + "Ġgroup Box", + "( schema", + "(s chema", + "Print f", + "O RIES", + "OR IES", + "- gradient", + "-g radient", + "Ġre put", + "Ġrep ut", + "a rin", + "ar in", + "ari n", + "_ DONE", + "_D ONE", + "_DO NE", + "in cre", + "inc re", + "incr e", + "ig nty", + "ign ty", + "Ġex ert", + "Ġexe rt", + "Ġ -.", + "Ġ- .", + "/ App", + "/A pp", + "- through", + "-th rough", + "Ġdec lining", + "Ġdecl ining", + "Ġdes sert", + "Ġdess ert", + "Ġinc umb", + "Ġ designation", + "Ġdesign ation", + ". PORT", + ".P ORT", + ".PO RT", + ", strong", + ",str ong", + ",st rong", + "Ġ sandbox", + "Ġs andbox", + "Ġsand box", + "Ġw ines", + "Ġwin es", + "Ġwine s", + "Ġwi nes", + "ĠP av", + "ĠPa v", + "$ str", + "$s tr", + "ask ell", + "Ġh ö", + "Ġ PY", + "ĠP Y", + "Get Instance", + "Text Input", + "game Object", + "/ events", + "/e vents", + "/event s", + "created At", + "Ġlocal Var", + "Ġ WHITE", + "ĠW HITE", + "ĠWH ITE", + "p ered", + "pe red", + "per ed", + "i lege", + "ile ge", + "eff icient", + ", color", + ",c olor", + ",col or", + "c ate", + "ca te", + "cat e", + "ĠC afe", + "ĠCa fe", + "ĠCaf e", + "Ġsimilar ities", + "Ġp umps", + "Ġpump s", + "Ġpu mps", + "ĠHun gary", + "ĠHung ary", + ". Username", + ".User name", + "Ġs kate", + "Ġsk ate", + "Ġska te", + "Ġtouchdown s", + "Ġacceler ate", + "Ġaccel erate", + "ĠH elen", + "ĠHe len", + "ĠHel en", + "O MEM", + "OM EM", + "OME M", + "ĠK un", + "ĠKu n", + "_ vol", + "_v ol", + "Ġ findAll", + "Ġfind All", + "ĠMens chen", + "a head", + "ah ead", + ") ;\"", + "); \"", + "k ommen", + "kom men", + "Ġposs essed", + "Ġpossess ed", + ".arg max", + ". transition", + ".t ransition", + ".trans ition", + "A RP", + "AR P", + "OL UME", + "OLUM E", + "( script", + "(s cript", + "Ġ Ðĺ", + "ĠÐ ĺ", + "Ġ Finding", + "ĠF inding", + "ĠFin ding", + "ĠFind ing", + "o nces", + "on ces", + "once s", + "I o", + "B old", + "Bo ld", + "Ġrenew al", + "_D IALOG", + "Ġdis reg", + "IN TERN", + "INT ERN", + "INTER N", + "Ġt oute", + "Ġto ute", + "Ġtou te", + "Ġtout e", + "Ġelect r", + "Ġele ctr", + "ĠG ross", + "ĠGr oss", + "ĠGro ss", + "ĠGros s", + "ĉ true", + "ĉtr ue", + ". Fields", + ".F ields", + ".Field s", + "Ġ WIDTH", + "ĠW IDTH", + "ĠD ent", + "ĠDe nt", + "ĠDen t", + "Ġ Ãģ", + "Ġà ģ", + "NS Notification", + "Ġ aos", + "Ġa os", + "Ġao s", + "Ġme lee", + "Ġmel ee", + ". Validation", + ".Valid ation", + "Ġ DEC", + "ĠD EC", + "ĠDE C", + "- dependent", + "-depend ent", + "Ġsu ic", + "Ġsui c", + "T raits", + "Tr aits", + "Tra its", + "Trait s", + "$ message", + "$m essage", + "Ġ Dear", + "ĠD ear", + "ĠDe ar", + "ĉ FILE", + "ĉF ILE", + "l anguages", + "language s", + ". Prot", + ".P rot", + ".Pro t", + ".Pr ot", + ". addr", + ".add r", + ".ad dr", + "- generation", + "-g eneration", + "-gen eration", + "I CON", + "IC ON", + "ICO N", + "Ġtrans plant", + "- description", + "-d escription", + "-de scription", + "-des cription", + "Ġch asing", + "Ġcha sing", + "Ġch ees", + "Ġche es", + "Ġ }*/Ċ", + "Ġ} */Ċ", + "T rad", + "Tr ad", + "Tra d", + "qu eries", + "que ries", + "quer ies", + "/ widgets", + "/widget s", + "sub package", + "Ġe spec", + "Ġes pec", + "Ġesp ec", + "Ġcr acked", + "Ġcrack ed", + "Ġcompet itor", + "Ġcompetit or", + "P urchase", + "- team", + "-t eam", + "-te am", + "ole cular", + "olec ular", + "or Thunk", + "& P", + "Ġrel ent", + "Ġrele nt", + "/ #{", + "/# {", + "Ġ productId", + "Ġproduct Id", + "Ġ è¾", + "Ġè ¾", + "ĠL av", + "ĠLa v", + "Ġ Alter", + "ĠAl ter", + "ĠAlt er", + ". Mode", + ".M ode", + ".Mod e", + "AD IO", + "ADI O", + "g rp", + "gr p", + "æ ·»åĬł", + "æ·» åĬł", + "Q uit", + "Qu it", + "Qui t", + "Ġdep ths", + "Ġdepth s", + "Ġdept hs", + "- category", + "-c ategory", + "Ġ DATABASE", + "ĠD ATABASE", + "ĠDATA BASE", + "S PELL", + "SP ELL", + "ĠF alcon", + "ĠFal con", + "ĠQString List", + "Ġ ''.", + "Ġ' '.", + "Ġ'' .", + "ĠIn stitution", + "ĠInst itution", + "ĠInstit ution", + "ĠInstitut ion", + "d amage", + "da mage", + "dam age", + "az or", + "azo r", + "bel ongsTo", + "belongs To", + "ver ages", + "verage s", + "Ġ NONE", + "ĠN ONE", + "ĠNO NE", + "ĠNON E", + "ip pets", + "ipp ets", + "ippet s", + ", \\Ċ", + ",\\ Ċ", + "Ġfoot print", + "_ archive", + "_a rchive", + "_arch ive", + "_arc hive", + "n ak", + "na k", + ". getField", + ".get Field", + "Ġ Reflection", + "ĠRef lection", + "ĠReflect ion", + "Ġ ']", + "Ġ' ]", + "ĠH BO", + "ĠHB O", + "_ discount", + "_dis count", + "_disc ount", + "Ġin cest", + "Ġinc est", + "Ġince st", + "ĠD odge", + "ĠDo dge", + "ĠDod ge", + "ĠW ade", + "ĠWa de", + ". NO", + ".N O", + "\" encoding", + "Ġ Blockchain", + "ĠBlock chain", + "Ġlaws uits", + "Ġlawsuit s", + "Ġ Maint", + "ĠM aint", + "ĠMain t", + "ĠMa int", + "ĠMai nt", + "ch ten", + "cht en", + "chte n", + "Ġét ait", + "Ġktó re", + "_ ctl", + "_c tl", + "_ct l", + "( timer", + "(t imer", + "(time r", + "(ti mer", + "B attle", + "Bat tle", + "i zo", + "iz o", + "ay ed", + "aye d", + "I OR", + "IO R", + "ĠGlas gow", + "Ġs ynth", + "Ġsy nth", + "Ġsyn th", + "Ġsynt h", + "_ logs", + "_l ogs", + "_log s", + "_lo gs", + ". pose", + ".p ose", + ".pos e", + ".po se", + "_Adjust orThunk", + "( (&", + "(( &", + "Ġun sure", + "Ġuns ure", + "Ġunsur e", + "y state", + "yst ate", + "íķĺ ëĬĶ", + "O ULD", + "OU LD", + ". ng", + ".n g", + "Ġdefault dict", + "work space", + "works pace", + "Ġselect ive", + "Ġsel ective", + "Picker Controller", + "YNAM IC", + ". methods", + ".method s", + "Ġpath ways", + "Ġpathway s", + "Ġ Few", + "ĠF ew", + "ĠFe w", + "K G", + "C RYPT", + "CRY PT", + "follow ing", + "ĠD LC", + "ĠDL C", + "ĠS ara", + "ĠSar a", + "ĠSa ra", + "Ġ preset", + "Ġp reset", + "Ġpre set", + "Ġpres et", + "e structor", + "estr uctor", + "estruct or", + "ĠK urt", + "ĠKur t", + "ĠKu rt", + "Ġair plane", + "Ġ omp", + "Ġo mp", + "Ġom p", + "Ġ Parents", + "ĠPar ents", + "ĠParent s", + "ĠParen ts", + "ĠPare nts", + "ĠMart inez", + "ĠMartin ez", + ". complete", + ".com plete", + ".comp lete", + "Ġbroad ly", + "Ġs care", + "Ġsc are", + "Ġsca re", + "Ġscar e", + "ĠM é", + "Ġelim ination", + "Ġelimin ation", + "Ġp oured", + "Ġpo ured", + "Ġpour ed", + "Ġpou red", + "/ sw", + "/s w", + "Ġcom un", + "Ġco mun", + "Ġm asc", + "Ġma sc", + "Ġmas c", + "ĠOrgan ic", + "ĠOrg anic", + "Ġ StringUtils", + "ĠString Utils", + "ĠStringUtil s", + "il ateral", + "ilate ral", + "ilater al", + "Ġreluct ant", + "- age", + "-a ge", + "-ag e", + "Ġ nz", + "Ġn z", + ". \"\\", + ".\" \\", + "Ġpast or", + "Ġpas tor", + "Ġpa stor", + "a lez", + "al ez", + "ale z", + "Ġe fect", + "Ġef ect", + "p rov", + "pr ov", + "pro v", + "/ init", + "/i nit", + "/in it", + "Ġp enn", + "Ġpe nn", + "Ġpen n", + "u nds", + "un ds", + "und s", + "Ġ ssize", + "Ġs size", + "Ġss ize", + "Ġ Proj", + "ĠP roj", + "ĠPro j", + "ĠPr oj", + "b asename", + "base name", + "bas ename", + "Ġsh ells", + "Ġshell s", + "Ġshel ls", + "ĠN eck", + "ĠNe ck", + "ĠNec k", + "ĠEn forcement", + "v ided", + "vid ed", + "vi ded", + "vide d", + "s town", + "st own", + "sto wn", + "S phere", + "Sp here", + "$ r", + "us sen", + "uss en", + "a fil", + "af il", + "afi l", + "Ġ Telegram", + "ĠTele gram", + "Ġanaly tical", + "Ġanalytic al", + "н Ñĭе", + "нÑĭ е", + "us ually", + "usu ally", + "usual ly", + "x n", + "Ġhistor ian", + "Ġhist orian", + "Ġhistoria n", + "Ġhisto rian", + "ĠGreg ory", + "ol ph", + "Ġ Una", + "ĠU na", + "ĠUn a", + "Ġcon tributes", + "Ġcontrib utes", + "Ġcontribute s", + "% -", + "anti ago", + "ÑĢ ед", + "ÑĢе д", + ". region", + ".reg ion", + "Ġab rupt", + "ĠUnsupported OperationException", + "Ġ TASK", + "ĠT ASK", + "ĠTA SK", + "ĠTAS K", + "_ finish", + "_f inish", + "_fin ish", + "Ġnot orious", + "Ġ Vs", + "ĠV s", + "Ġ MQ", + "ĠM Q", + "Ġs unset", + "Ġsun set", + "Ġun acceptable", + "ar cer", + "arc er", + "Ġill umin", + "Ġillum in", + "ĠO rb", + "ĠOr b", + "Ġ bh", + "Ġb h", + "E ste", + "Est e", + "Es te", + "_ dispatch", + "_dis patch", + "_disp atch", + "Ġr ipped", + "Ġrip ped", + "Ġri pped", + "Ġtou jours", + "Ġ Parcel", + "ĠPar cel", + "_ ll", + "_l l", + ". userName", + ".user Name", + ". classes", + ".c lasses", + ".class es", + ".cl asses", + "S OURCE", + "( Number", + "(N umber", + "е лÑı", + "ел Ñı", + "Ġhead phones", + "Ġheadphone s", + "( side", + "(s ide", + "(si de", + "(sid e", + "con stitution", + "const itution", + "an nah", + "ann ah", + "anna h", + "čĊ ĠĠĠĠĠĠĠĠčĊ", + "Ġcl iff", + "Ġcli ff", + "- ref", + "-r ef", + "-re f", + "Ġmost rar", + "Ġmo strar", + "Ġmostr ar", + "Ġmostra r", + "ĠP owell", + "ĠPo well", + "ĠPow ell", + "+ y", + "Ġ BG", + "ĠB G", + "_ fragment", + "_f ragment", + "_fr agment", + "_frag ment", + ". Port", + ".P ort", + "Ġreal izing", + "Ġrealiz ing", + "param ref", + "Ġh ometown", + "Ġhome town", + "@ Table", + "+ \" --}}Ċ", + ">-- }}Ċ", + "F rench", + "Fr ench", + "Entity Manager", + "Ġ Plain", + "ĠP lain", + "ĠPl ain", + "ĠPla in", + "//// ////////////////////////////////////////////////////////////////", + "//////// ////////////////////////////////////////////////////////////", + "//////////////// ////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////// ////", + "//////////// ////////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////// ////////////", + "//////////////////////////////////////////////////////////// ////////", + "//////////////////////////////////////////////////// ////////////////", + " ³", + "( RE", + "(R E", + "c apt", + "ca pt", + "cap t", + "Ġ organisms", + "Ġorgan isms", + "Ġorganis ms", + "Ġorganism s", + "Ġ jets", + "Ġj ets", + "Ġje ts", + "Ġjet s", + "o location", + "ol ocation", + "olo cation", + "ĠApp RoutingModule", + "Ġgl orious", + "Ġglo rious", + "Ġglor ious", + "æľ į", + "Ġdisc arded", + "Ġdiscard ed", + "ĉ ĉĉĉĠĠĠĠĠ", + "ĉĉ ĉĉĠĠĠĠĠ", + "ĉĉĉĉ ĠĠĠĠĠ", + "ĉĉĉ ĉĠĠĠĠĠ", + "ĉĉĉĉĠ ĠĠĠĠ", + "ĉĉĉĉĠĠĠ ĠĠ", + "ĉĉĉĉĠĠ ĠĠĠ", + "ĉĉĉĉĠĠĠĠ Ġ", + "ĠArn old", + "l ug", + "lu g", + "Ġp arl", + "Ġpar l", + "Ġpa rl", + "Ġhorm ones", + "Ġhormone s", + "Ġ mah", + "Ġm ah", + "Ġma h", + "ĠS onic", + "ĠSo nic", + "ĠSon ic", + "Ġorgan izers", + "Ġorganiz ers", + "Ġorganize rs", + "Ġorganizer s", + "_ PLATFORM", + "_PL ATFORM", + ". inv", + ".in v", + ".i nv", + "Ġch ord", + "Ġcho rd", + "Ġchor d", + "vent ional", + "vention al", + "ĉ of", + "ĉo f", + "Ep isode", + ". Enum", + ".E num", + ".En um", + "un kt", + "unk t", + "ĠD h", + "ĠJ ared", + "ĠJa red", + "ĠJar ed", + "ĠN ak", + "ĠNa k", + "Ġint ends", + "Ġinte nds", + "Ġintend s", + "End ian", + "Ġa ustralia", + "_ cv", + "_c v", + "( resolve", + "(res olve", + "(re solve", + "Ġclin ics", + "Ġclinic s", + "l iked", + "li ked", + "like d", + "lik ed", + "ASH INGTON", + "in ha", + "inh a", + "' *", + "Ġ NP", + "ĠN P", + "_ beh", + "_b eh", + "_be h", + "Ġ hf", + "Ġh f", + "Ġw ür", + "c ategoria", + "$ form", + "$f orm", + "Ġsub way", + "Ġ isActive", + "Ġis Active", + "pop ular", + "C our", + "Co ur", + "Cou r", + "Ġ cooldown", + "Ġco oldown", + "Ġcool down", + "Ġa insi", + "Ġain si", + "Ġ GLuint", + "ĠGL uint", + "e real", + "ere al", + "erea l", + "Ġarray Of", + "Ġh atch", + "Ġhat ch", + "= =========", + "== ========", + "==== ======", + "======== ==", + "=== =======", + "========= =", + "====== ====", + "===== =====", + "======= ===", + "r esses", + "res ses", + "ress es", + "resse s", + "_ PP", + "_P P", + ". ^", + "_ decay", + "_dec ay", + "ĠB less", + "ĠBl ess", + "ĠBle ss", + "m etrics", + "met rics", + "metric s", + "ĠCOPY ING", + "ĠDump ster", + "ĠJos é", + "ĠDesign s", + "< Void", + "<", + "Ġ? ><", + "Ġ?> <", + "Ġ \"}Ċ", + "Ġ\" }Ċ", + "Ġ\"} Ċ", + "time zone", + "Ġ eer", + "Ġe er", + "Ġee r", + "max cdn", + "Ġ ESC", + "ĠE SC", + "ĠES C", + "ig aret", + "iga ret", + "igar et", + "_ connected", + "_connect ed", + "_conn ected", + "_ reverse", + "_re verse", + "_rev erse", + "Ġquestion able", + "ĠU SC", + "ĠUS C", + "Ġtu tti", + "Ġtut ti", + "Ġ dropout", + "Ġdrop out", + "Ġ Activities", + "ĠAct ivities", + "ĠActiv ities", + "ĠW inds", + "ĠWin ds", + "ĠWi nds", + "ĠWind s", + "' )));Ċ", + "') ));Ċ", + "')) );Ċ", + "'))) ;Ċ", + "Ġcon gest", + "Ġcong est", + "ÄŁ ı", + "Ġprolong ed", + "è¿ Ļ", + "ĠCross AxisAlignment", + "L EEP", + "LE EP", + "LEE P", + "Ġ VALID", + "ĠVAL ID", + "ĠG az", + "ĠGa z", + "Ġ dependence", + "Ġdepend ence", + "ĠP rix", + "ĠPr ix", + "ĠPri x", + ".Compiler Services", + "j ump", + "ju mp", + "Ġst rat", + "Ġstr at", + "Ġstra t", + "c irc", + "ci rc", + "cir c", + "Ġ CUSTOM", + "ĠC USTOM", + "x aa", + "xa a", + "Ġ bmp", + "Ġb mp", + "Ġbm p", + "Ġb ureau", + "Ġbu reau", + "Ġbure au", + "Ġw aren", + "Ġwar en", + "Ġwa ren", + "Ġware n", + "N X", + "( Window", + "(W indow", + "ĠChrist ie", + "ĠChris tie", + "_ FE", + "_F E", + "Ġ tn", + "Ġt n", + "Ġ Omega", + "ĠO mega", + "ĠOm ega", + "communic ations", + "communication s", + "Home Page", + "com pletion", + "comp letion", + "Ġsupply ing", + "Ġsuppl ying", + "Ġsupp lying", + "YPE S", + "YP ES", + "á vel", + "áv el", + "åĪ ¶", + "( click", + "(c lick", + "(cl ick", + "(cli ck", + "\\ Contracts", + "/ questions", + "/question s", + "Ġ ez", + "Ġe z", + "A MS", + "AM S", + ". mesh", + ".m esh", + ".me sh", + "Ġ' \\Ċ", + ">\\ Ċ", + "R obot", + "Rob ot", + "Ro bot", + "Json Object", + "Ġ DF", + "ĠD F", + "Ġ Processor", + "ĠProcess or", + "ĠProc essor", + "_ should", + "_sh ould", + ". protobuf", + ".prot obuf", + ".proto buf", + "- users", + "-user s", + "-use rs", + "-us ers", + "Ġemb ry", + "Ġembr y", + "F ONT", + "FO NT", + "Ġstart ups", + "Ġstartup s", + "Ġ DataSource", + "ĠData Source", + ") #", + "u ros", + "ur os", + "uro s", + "_ Color", + "_C olor", + "Ġst andalone", + "Ġstand alone", + "} [", + "j d", + "Ġfor give", + "Ġforg ive", + "Ġ ngx", + "Ġn gx", + "Ġng x", + "Ġ Generally", + "ĠGener ally", + "ĠGeneral ly", + "Ġconfig urable", + "Ġconfigur able", + "/ order", + "/or der", + "Ġ vas", + "Ġv as", + "Ġva s", + "' )\";Ċ", + "') \";Ċ", + "')\" ;Ċ", + "Ġ RR", + "ĠR R", + "ĠT roy", + "ĠTr oy", + "ĠTro y", + "Ġcomprom ised", + "Ġcompromise d", + "ĠS wan", + "ĠSw an", + "int endent", + "C entral", + "Cent ral", + "_ keeper", + "_k eeper", + "_ke eper", + "_keep er", + "Ġar quivo", + "Ġ ReadOnly", + "ĠRead Only", + "_ curve", + "_c urve", + "_cur ve", + "_cu rve", + "k v", + "en tin", + "ent in", + "enti n", + "è ±", + "Ġ Ey", + "ĠE y", + ".im read", + "ĠP am", + "ĠPa m", + "i ffe", + "if fe", + "iff e", + "at ivity", + "ativ ity", + "x bc", + "xb c", + "Ġ grim", + "Ġg rim", + "Ġgr im", + "Ġgri m", + "- filled", + "-f illed", + "-fill ed", + "name se", + "names e", + "nam ese", + "' ]:", + "'] :", + "Ġ aur", + "Ġa ur", + "Ġau r", + "ĠGi bson", + "ĠGib son", + ". MouseEvent", + ".Mouse Event", + "Ġl ado", + "Ġla do", + "Ġlad o", + "ava doc", + "avad oc", + "Ġf amil", + "Ġfam il", + "Ġfa mil", + "Ġ Moder", + "ĠM oder", + "ĠMod er", + "ĠMo der", + "ĠMode r", + "f ps", + "fp s", + "ãĢĢ ãĢĢ", + "- example", + "-ex ample", + "ĠAl zheimer", + "Ġ Utf", + "ĠU tf", + "ĠUt f", + "_ arguments", + "_arg uments", + "_argument s", + "Con clusion", + "text Content", + "rem aining", + "remain ing", + "rema ining", + "Ġinterrupt s", + "Ġ Backup", + "ĠBack up", + "ĠBac kup", + "ĠM ong", + "ĠMon g", + "ĠMo ng", + "Ġre ceptors", + "Ġrecept ors", + "Ġreceptor s", + "Ġrecep tors", + "h istor", + "hi stor", + "hist or", + "his tor", + ".cor outines", + "Ġsh outed", + "Ġshout ed", + "Ġsho uted", + "Al arm", + "Ġcomb ust", + "Ġg rote", + "Ġgr ote", + "Ġgro te", + "ult ural", + "ultur al", + "( ids", + "(i ds", + "(id s", + "---- ----------------------------------------------------------------------------", + "---------------- ----------------------------------------------------------------", + "-------------------------------- ------------------------------------------------", + "---------------------------------------------------------------- ----------------", + "------------------------------------------------ --------------------------------", + "---------- ----------------------------------------------------------------------", + "---------------------------------------------------------------------------- ----", + "---------------------------------------------------------------------- ----------", + "ipl inary", + "iplina ry", + "O pts", + "Op ts", + "Opt s", + "ĠY ale", + "ĠYa le", + "local Storage", + "Ġequ ival", + "Ġequiv al", + "ĠF leet", + "ĠFle et", + "\\ b", + "* pi", + "*p i", + "ĠQ Label", + "æ ¡", + "Ġ vx", + "Ġv x", + "Ġ ACL", + "ĠA CL", + "ĠAC L", + "Ġsu cesso", + "Ġsuc esso", + "Ġsucess o", + "Ġ perc", + "Ġp erc", + "Ġper c", + "Ġpe rc", + "ĠN otre", + "ĠNo tre", + "ĠNot re", + "Ġan arch", + "Ġana rch", + "R ing", + "s pb", + "sp b", + "Ġ strpos", + "Ġstr pos", + "st ores", + "store s", + "sto res", + "stor es", + "ĠMap le", + "ĠMa ple", + "( MainActivity", + "(Main Activity", + "(\" \"))", + "(\"\" ))", + "(\"\") )", + "Ġview Holder", + "Qu ad", + "Ġig ual", + "ors che", + "orsch e", + ". margin", + ".m argin", + ".mar gin", + "Ġin die", + "Ġind ie", + "Ġfr anc", + "Ġfra nc", + "Ġfran c", + "ĠForm Builder", + "ĠPart icip", + "ĠParti cip", + ". flash", + ".f lash", + ".fl ash", + "Ġ storms", + "Ġstorm s", + "Ġstor ms", + "Ġsto rms", + "U lt", + "Ul t", + "Ġ fen", + "Ġf en", + "Ġfe n", + "[ new", + "[n ew", + "E ver", + "Ev er", + "= \"Ċ", + "=\" Ċ", + "Ġ localized", + "Ġlocal ized", + "Ġlocalize d", + "_ follow", + "_f ollow", + "Ġ nave", + "Ġn ave", + "Ġna ve", + "Ġnav e", + "Ġdom inance", + "Ġdomin ance", + "Ġdomina nce", + "( tile", + "(t ile", + "(ti le", + "J ournal", + "Jo urnal", + "Ġ VC", + "ĠV C", + "Ġpen etration", + "Ġpenet ration", + "Ġpenetr ation", + "ï¼ ķ", + "Ġcom partment", + "Ġcomp artment", + "Ġcompart ment", + "Ġb ids", + "Ġbi ds", + "Ġbid s", + "Form atted", + "Format ted", + "**** **/ĊĊ", + "****** /ĊĊ", + "*** ***/ĊĊ", + "***** */ĊĊ", + "******/ ĊĊ", + "******/Ċ Ċ", + "( city", + "(c ity", + "(ci ty", + "âĢĶ it", + "[ C", + "Ġuse Callback", + "a ub", + "au b", + ") ?.", + ")? .", + "Ġ VAR", + "ĠV AR", + "ĠVA R", + "ĠSe bastian", + "ĠSebast ian", + "ĠM oss", + "ĠMo ss", + "ĠMos s", + "Ġabund ant", + "G reg", + "Gr eg", + "Gre g", + "ÑĤ а", + "_ ci", + "_c i", + "Ġb ibli", + "Ġbib li", + "C RM", + "CR M", + "Ġ Attempt", + "ĠAt tempt", + "ĠAtt empt", + "is me", + "ism e", + "d ash", + "da sh", + "das h", + "ãĢ İ", + "_ mu", + "_m u", + ".Formatting Enabled", + "Ind eed", + "- direct", + "-d irect", + "-dir ect", + "-di rect", + "Ġs ucking", + "Ġsuc king", + "Ġsuck ing", + "Ġp ne", + "Ġpn e", + "ocab ulary", + "ĠP ackers", + "ĠPac kers", + "ĠPack ers", + ". Navigation", + ".N avigation", + ".Nav igation", + "Ġp ied", + "Ġpie d", + "Ġpi ed", + "cri bing", + "ĠSt uart", + ".To Double", + "Ġ Secondary", + "ĠSecond ary", + "S aving", + "Sa ving", + "ĠD ut", + "ĠDu t", + "ĠM add", + "ĠMad d", + "ĠMa dd", + "M agic", + "Mag ic", + ", H", + ".document Element", + "Ġ BST", + "ĠB ST", + "ĠBS T", + "Ġdif fers", + "Ġdiffer s", + "Ġdiff ers", + "Ġmore over", + "_ nd", + "_n d", + "SE ARCH", + "п ÑĢав", + "пÑĢа в", + "пÑĢ ав", + "æ ´", + "to Match", + "Ġde creasing", + "Ġdecre asing", + "- member", + "-m ember", + "am pus", + "amp us", + "( boost", + "D aily", + "Da ily", + "Data GridView", + "Ġ HttpContext", + "ĠHttp Context", + "Ġh ipp", + "Ġhi pp", + "Ġhip p", + "_ workers", + "_work ers", + "_worker s", + "- language", + "-l anguage", + "é ĵ", + "Ġcons isted", + "Ġconsist ed", + "a thing", + "ath ing", + "athi ng", + "ĠMer cury", + "ĠMerc ury", + "$ content", + "$c ontent", + "$con tent", + "Ġpract iced", + "Ġpractice d", + "Ġ Modules", + "ĠMod ules", + "ĠModule s", + "_ DAY", + "_D AY", + "_DA Y", + "Ġweakness es", + "ĠL odge", + "ĠLo dge", + "ĠLod ge", + "Ġ nar", + "Ġn ar", + "Ġna r", + "Ġ Mate", + "ĠM ate", + "ĠMat e", + "ĠMa te", + "Ġ jp", + "Ġj p", + "ĠHttp Headers", + "Ġs mo", + "Ġsm o", + "Ġ TOKEN", + "ĠT OKEN", + "ĠTO KEN", + "ĠTOK EN", + "] )(", + "]) (", + "Ġa qui", + "Ġaqu i", + "sw agen", + "Ġ srv", + "Ġs rv", + "Ġsr v", + "ĉ ans", + "ĉa ns", + "ĉan s", + "A round", + "Ar ound", + "ĠMan uel", + "Ġfiction al", + "Ġfict ional", + "Ġ IMG", + "ĠI MG", + "ĠIM G", + "Ġ .'", + "Ġ. '", + "Ġ Berry", + "ĠB erry", + "ĠBer ry", + "Ġwall paper", + "s exual", + "sex ual", + "i ero", + "ie ro", + "ier o", + "Ġ çļĦ", + "ìĨ Į", + "Backing Field", + "ĠAd rian", + "ĠAdri an", + "BASE PATH", + "Ġre peats", + "Ġrepe ats", + "Ġrepeat s", + "Ġbl ues", + "Ġblue s", + "Ġun predict", + "Ġunp redict", + "_ coll", + "_c oll", + "_col l", + "_co ll", + "st acle", + "sta cle", + "Ġ Tumblr", + "ĠT umblr", + "Ġ Elf", + "ĠE lf", + "ĠEl f", + "Ġass urance", + "Ġc ensus", + "Ġcen sus", + "Ġ IMPORT", + "ĠIM PORT", + "ĠIMP ORT", + "E NDER", + "EN DER", + "END ER", + "a nos", + "an os", + "ano s", + "Ġ =(", + "Ġ= (", + "ĠEl lis", + "ĠEll is", + "ĠElli s", + "\" ĊĊĊĊ", + "\"Ċ ĊĊĊ", + "\"ĊĊ ĊĊ", + "\"ĊĊĊ Ċ", + ". win", + ".w in", + "Ġ Above", + "ĠA bove", + "ĠAb ove", + "a lon", + "al on", + "alo n", + "_ tick", + "_t ick", + "_ti ck", + "Ġrepresent ations", + "Ġrepresentation s", + "Ġ æķ", + "Ġæ ķ", + "w id", + "wi d", + "ĠA rms", + "ĠAr ms", + "ĠArm s", + "L ista", + "List a", + "Li sta", + "_ failure", + "_f ailure", + "_fail ure", + "_ cm", + "_c m", + ".Flat Appearance", + "Ġth rone", + "Ġthr one", + "Ġthro ne", + "P atch", + "Pat ch", + "ĠV oy", + "ĠVo y", + "en gl", + "eng l", + "Ġnegot iating", + "> `", + "Ġshoot s", + "Ġsho ots", + "Ġ FPS", + "ĠF PS", + "ĠFP S", + ". Year", + ".Y ear", + "ĠK iss", + "ĠKi ss", + "ĠKis s", + "en ción", + "enc ión", + "enci ón", + "re eting", + "ree ting", + "reet ing", + "From File", + "Ġresign ation", + "Ø ·", + "Ġt wins", + "Ġtw ins", + "Ġtwin s", + "Æ° ợ", + "Æ°á» £", + "Ġge bru", + "Ġgeb ru", + ". getContent", + ".get Content", + ".getC ontent", + ". Tree", + ".T ree", + ".Tr ee", + "Ġ Employees", + "ĠEmployee s", + "ĠEmploy ees", + "ĠF IFA", + "ĠFI FA", + "Ġc ertainty", + "Ġcert ainty", + "Ġcertain ty", + "( Cl", + "(C l", + "Ġ totals", + "Ġtot als", + "Ġtotal s", + "ed itable", + "edit able", + "edi table", + "ॠĢ", + ". Reporting", + ".Report ing", + "M as", + "Ma s", + "qu iet", + "qui et", + ". rules", + ".r ules", + ".ru les", + ".rule s", + "Ġ VO", + "ĠV O", + "con exion", + ", K", + "Ġ allocator", + "Ġal locator", + "Ġall ocator", + "Ġalloc ator", + "ĠPow der", + "\\ Repository", + "B eat", + "Be at", + "_ tipo", + "_t ipo", + "_tip o", + "_ti po", + "Ġ[ '',", + "Ġ[' ',", + "_ INTR", + "_IN TR", + "_INT R", + "Ġ <<<", + "Ġ< <<", + "Ġ<< <", + "< hr", + " \");čĊ", + ">\" );čĊ", + ">\") ;čĊ", + "drop IfExists", + "ĠB eg", + "ĠBe g", + "_ HAL", + "_H AL", + "Ġcross AxisAlignment", + "Ġ Evidence", + "ĠE vidence", + "ĠEv idence", + "Ġpec uliar", + "Ġin stitute", + "Ġinstit ute", + "ve is", + "Ġ fft", + "Ġf ft", + "Ġff t", + "à ģ", + "Ġzo ekt", + "Ġzoek t", + "an aly", + "ana ly", + "anal y", + "ĠHome land", + "ĠHom eland", + "Ġpen etr", + "Ġpenet r", + "udden ly", + "ĉ element", + "ĉe lement", + "ĉel ement", + "ĉelem ent", + "ĠB ren", + "ĠBr en", + "ĠBre n", + "ĠTr udeau", + "ĠCub an", + "ĠCu ban", + "ĠCuba n", + "j am", + "ja m", + "us lim", + "_ ev", + "_e v", + "Ġs tems", + "Ġst ems", + "Ġste ms", + "Ġstem s", + "} %", + "Ŀ å§ĭ", + "Ġbr anding", + "Ġbrand ing", + "Ġbran ding", + "Ġcorrespond ence", + ". jquery", + ".j query", + "¢ åįķ", + "ĠRe ads", + "ĠRead s", + "(Http StatusCode", + "(HttpStatus Code", + "as sin", + "ass in", + "assi n", + "( slot", + "(s lot", + "(sl ot", + "ĠGrad uate", + "// /<", + "/// <", + "Ġinformation s", + "Ġinform ations", + "Ġinformat ions", + "EN ABLE", + "ENA BLE", + "Ġp uis", + "Ġpu is", + "Ġ finder", + "Ġf inder", + "Ġfind er", + "Ġfin der", + "Ġfi nder", + "Ġfinde r", + "ĠB ris", + "ĠBr is", + "ĠBri s", + "Ġnett steder", + "_ mid", + "_m id", + "_mi d", + "Ġ ogs", + "Ġo gs", + "Ġog s", + "ĠSter ling", + "Ġar rog", + "Ġarr og", + "str ftime", + "| ĊĊ", + "|Ċ Ċ", + "Ġ vox", + "Ġv ox", + "Ġvo x", + "Ġ Regardless", + "ĠReg ardless", + "Ġ eso", + "Ġe so", + "Ġes o", + "Ġ Comfort", + "ĠCom fort", + ".Boolean Field", + "Ġ uh", + "Ġu h", + "A CY", + "AC Y", + "Ġsque ez", + "ĠV ic", + "ĠVi c", + "con tro", + "cont ro", + "contr o", + ". lo", + ".l o", + "Ġ ire", + "Ġi re", + "Ġir e", + "ĠCom edy", + "ĠCome dy", + "ë ¶", + "Ġorig inated", + "Ġorigin ated", + "Ġoriginate d", + "Ġ shipment", + "Ġsh ipment", + "Ġship ment", + "| max", + "|m ax", + "_ guid", + "_g uid", + "_gui d", + "le vation", + "lev ation", + "н аÑı", + "на Ñı", + "( undefined", + "(un defined", + "Ġ DDR", + "ĠD DR", + "ĠDD R", + "Ġshoot ings", + "Ġshooting s", + "ĠLat ino", + "ĠLatin o", + "END OR", + "Ġaver aging", + "Ġgre eted", + "Ġgreet ed", + "Ġthe aters", + "Ġtheater s", + "Ġtheat ers", + "о е", + "оРµ", + "Ġ dB", + "Ġd B", + "Ġ gst", + "Ġg st", + "Ġgs t", + "Ġde finite", + "Ġdef inite", + "Ġdefinit e", + "Ġdefin ite", + ". Storage", + ".St orage", + ". her", + ".h er", + ".he r", + "Ġa fore", + "Ġaf ore", + "Ġ Reality", + "ĠRe ality", + "ĠReal ity", + "ĠG ods", + "ĠGod s", + "ĠGo ds", + "v ersed", + "ver sed", + "vers ed", + "verse d", + "Ġhand some", + "Ġhands ome", + "Ġ excluding", + "Ġex cluding", + "Ġexcl uding", + "( ad", + "(a d", + "Qu otes", + "Quote s", + "Ġ Scheme", + "ĠS cheme", + "ĠSch eme", + "ĠSche me", + "? q", + "ĠT amil", + "ĠTa mil", + "ĠTam il", + "T icks", + "Tick s", + "Ti cks", + "Ġ pest", + "Ġp est", + "Ġpe st", + "Ġpes t", + "' n", + "Ġporn ography", + "_ modal", + "_m odal", + "_mod al", + "_mo dal", + "Ġ ----------", + "Ġ- ---------", + "Ġ-- --------", + "Ġ---- ------", + "Ġ--- -------", + "Ġ----- -----", + "Ġ------ ----", + "Ġ-------- --", + "Ġ------- ---", + "Ġ--------- -", + "Ġd isposable", + "Ġdis posable", + "Ġdispos able", + "F REE", + "FR EE", + "Ġsh ark", + "Ġsha rk", + "Ġshar k", + "C HE", + "CH E", + "Ġdep icted", + "Ġdepict ed", + "Ġdemonstr ations", + "Ġdemonstration s", + "ĠK illed", + "ĠKill ed", + "ĠKil led", + "Ġ RULE", + "ĠR ULE", + "ĠRU LE", + "Ġobs essed", + "Ġobsess ed", + "Ġs implified", + "Ġsimpl ified", + "Post al", + "Pos tal", + "Po stal", + "Ġconcept ual", + "Ġ pst", + "Ġp st", + "Ġps t", + "L as", + "La s", + "_ PROJECT", + "_PRO JECT", + "uc ceeded", + "ucceed ed", + "o lu", + "ol u", + "ÄŁ i", + "Ġpersonal ities", + "Ġ reshape", + "Ġre shape", + "Ġres hape", + "Ġresh ape", + "Ġen closed", + "Ġenc losed", + "ĉ ptr", + "ĉp tr", + "ĉpt r", + "Ġt utorials", + "Ġtutorial s", + "Ġtutor ials", + "Ġexpl oded", + "Ġexplo ded", + "Ġexplode d", + "_ DIRECTORY", + "_DIRECT ORY", + "åĨħ 容", + "Ġc anon", + "Ġcan on", + "Ġca non", + "Ġrecogn ise", + "P AD", + "PA D", + "Ġ Approx", + "ĠApp rox", + "ĠAp prox", + "ĠAppro x", + "Ġ Restore", + "ĠRe store", + "ĠRest ore", + "Ġ Important", + "ĠImport ant", + "Ġhe avier", + "Ġheav ier", + ". Sequential", + ".Se quential", + "E arth", + "Ear th", + "ĠM ilk", + "ĠMil k", + "ĠMi lk", + ".set Request", + ". tem", + ".t em", + ".te m", + "Ġre construct", + "Ġrecon struct", + "Ġskept ical", + "Ġskeptic al", + "_ Private", + "_Pr ivate", + "B UF", + "BU F", + "q ua", + "qu a", + ": a", + "Ġ sek", + "Ġs ek", + "Ġse k", + "Ġd well", + "Ġdw ell", + "o ssa", + "os sa", + "oss a", + "Ġreward ed", + "Ġrew arded", + "и й", + "( topic", + "(t opic", + "(to pic", + "(top ic", + "_ partition", + "_part ition", + "Ġ__ ________________", + "Ġ______ ____________", + "Key words", + "Keyword s", + "ĠFr anco", + "ĠFranc o", + "ĠFran co", + "L ite", + "Li te", + "Lit e", + "Ġn aken", + "Ġna ken", + "Ġnak en", + "Ġ за", + "Ġз а", + "O BJECT", + "OB JECT", + "OBJ ECT", + "Ġcraft s", + "Ġcra fts", + "Ġ Swap", + "ĠS wap", + "ĠSw ap", + ".X na", + ". Connect", + ".Con nect", + ".Conn ect", + "Ġbalcon y", + "( real", + "(re al", + "ĠBar nes", + "ĠBarn es", + "b ir", + "bi r", + "Ġ Twenty", + "ĠTw enty", + "ĠTwe nty", + "a yan", + "ay an", + "aya n", + "at ars", + "ata rs", + "atar s", + "ĠPro pel", + "ĠProp el", + "ĠIh nen", + "Up grade", + "Ġc urb", + "Ġcur b", + "Ġcu rb", + "- second", + "-se cond", + "Ġn eph", + "Ġne ph", + "Ġnep h", + ". pres", + ".p res", + ".pre s", + ".pr es", + "ìŀ ħ", + ". seq", + ".s eq", + ".se q", + "Ġp added", + "Ġpad ded", + "Ġpadd ed", + "\" ?", + "j l", + "ãĥ ¬", + "' ) a", + "Co ordinates", + "Coordinate s", + "Ġen acted", + "Ġenact ed", + "EN TS", + "ENT S", + "Ġ lac", + "Ġl ac", + "Ġla c", + ". final", + ".f inal", + ".fi nal", + ".fin al", + "ĠPhp Storm", + "c alled", + "cal led", + "call ed", + "Ġin quiries", + ". middleware", + ".m iddleware", + ".middle ware", + "ĠD owntown", + "ĠDown town", + "/ ';Ċ", + "/' ;Ċ", + "Ġkil omet", + "ac cel", + "acc el", + "Ġqu ien", + "Ġq uien", + "Ġqui en", + "w string", + "ws tring", + "set Data", + "Ġman era", + "Ġmane ra", + "Ġmod ular", + "r imp", + "ri mp", + "rim p", + "Ġtar iffs", + "Ġtariff s", + "Ġtarif fs", + "âĢĻ il", + "âĢĻi l", + "_TH ROW", + "/ color", + "/c olor", + "/co lor", + "Ġ HTMLElement", + "ĠHT MLElement", + "ĠHTML Element", + "Ġc arro", + "Ġcar ro", + "Ġcarr o", + "Ġpr ere", + "Ġpre re", + "Ġprer e", + "Ġplot ting", + "Ġ Positive", + "ĠPos itive", + "ĠM achines", + "ĠMachine s", + "ĠMach ines", + "O TES", + "OT ES", + "OTE S", + "á» Ľ", + "ple asant", + "Ġ alte", + "Ġa lte", + "Ġal te", + "Ġalt e", + "Ġa inda", + "Ġai nda", + "Ġain da", + "th ese", + "the se", + "thes e", + "Ġ cors", + "Ġc ors", + "Ġco rs", + "Ġcor s", + "i pay", + "ip ay", + "ipa y", + "ĠAdv isory", + "ĠAdvis ory", + "ĠAdvisor y", + "ĠRub io", + "ĠRu bio", + "j q", + "Ġl imestone", + "Ġlim estone", + "Ġlime stone", + "Ġdet ached", + "Ġdetach ed", + "设 ç½®", + "t enant", + "te nant", + "ten ant", + "Ġ Depth", + "ĠDe pth", + "ĠDep th", + "ĠDept h", + "a lore", + "al ore", + "alo re", + "ĠÑģÑĤ ÑĢок", + "ĠÑģÑĤÑĢ ок", + "ĠÑģÑĤÑĢо к", + "Ġ FORE", + "ĠF ORE", + "ĠFOR E", + "ĠFO RE", + "ĠL ay", + "ĠLa y", + "p resentation", + "present ation", + ") ');Ċ", + ")' );Ċ", + ".sub plots", + ".subplot s", + "Ï ĥ", + "N OW", + "NO W", + "G ar", + "Ga r", + "h andles", + "handle s", + "hand les", + "a bra", + "ab ra", + "abr a", + "put ies", + "pu ties", + "ĠElect rical", + "ĠElectric al", + "M iddle", + "Mid dle", + "r opic", + "ro pic", + "rop ic", + "Ġ JD", + "ĠJ D", + "Ġ Dyn", + "ĠD yn", + "ĠDy n", + "ĠB ristol", + "ĠBr istol", + "ĠBris tol", + "ĠMc Carthy", + "ĠMcCart hy", + "Ġstr iker", + "Ġstri ker", + "Ġstrike r", + "Ġenum erable", + "Ġenumer able", + "ĠE van", + "ĠEv an", + "ĠEva n", + ". defaults", + ".default s", + "qu ences", + "que nces", + "quence s", + ") ||", + ")| |", + "ĉ token", + "ĉt oken", + "ĉto ken", + "â Ĺı", + "âĹ ı", + "- dropdown", + "-d ropdown", + "-drop down", + "ST ORE", + "Ġ Graphic", + "ĠG raphic", + "ĠGraph ic", + "( pp", + "(p p", + "Ex pl", + "Exp l", + "Ġup wards", + "Ġupward s", + "ĠD istributed", + "ĠDistrib uted", + "Ġ WEB", + "ĠW EB", + "ĠWE B", + "J er", + "Je r", + "is NaN", + "çĶŁ æĪIJ", + "> R", + "üss en", + "üs sen", + "e fs", + "ef s", + "Ġun cover", + "Ġunc over", + "Ġl ud", + "Ġlu d", + ". calculate", + ".c alculate", + ".cal culate", + ".calc ulate", + "Ġ intptr", + "Ġint ptr", + "Ġmidfield er", + ". Headers", + ".Header s", + ".He aders", + ".Head ers", + "Ġ mf", + "Ġm f", + "e ref", + "er ef", + "ere f", + ". Metro", + ".M etro", + ".Me tro", + "Ġ Speaking", + "ĠSpe aking", + "ĠSpeak ing", + ": b", + "Ġcryptoc urrencies", + "Ġd emons", + "Ġde mons", + "Ġdem ons", + "Ġdemon s", + "Ġdemo ns", + "ĉ EXPECT", + "Ġw icked", + "y outube", + "you tube", + "youtu be", + ": Int", + ":I nt", + "ĠH indi", + "ĠHind i", + "ĠHin di", + "Ġ CAT", + "ĠC AT", + "ĠCA T", + "Ġ ع", + "ĠØ ¹", + "r ar", + "ra r", + "o more", + "om ore", + "omo re", + "omor e", + "/ per", + "/p er", + "/ license", + "/lic ense", + "/l icense", + "Ġre im", + "Ġa waiting", + "Ġawait ing", + "Ġle thal", + "Ġlet hal", + "Ġleth al", + "Ġ EF", + "ĠE F", + "r ounded", + "ro unded", + "round ed", + "ĠPl atinum", + "Ġв Ñģе", + "ĠвÑģ е", + ". coords", + ".co ords", + ".coord s", + ". Device", + ".D evice", + ".De vice", + ".Dev ice", + "/ item", + "/i tem", + "Ġ Wenn", + "ĠW enn", + "ĠWe nn", + "ĠWen n", + "compile Components", + "ĠK inder", + "ĠKind er", + "ĠKi nder", + "ĠKin der", + ".remove Item", + "Ġ anda", + "Ġa nda", + "Ġand a", + "Ġan da", + "b nb", + "bn b", + "Ġ pra", + "Ġp ra", + "Ġpr a", + "( transaction", + "(trans action", + "Ġembarrass ing", + "ĉ BOOL", + ".content View", + "Ġevent data", + "at ore", + "ator e", + "ato re", + "Ġprovided In", + "ir ma", + "irm a", + "Ġz ona", + "Ġzo na", + "_ HW", + "_H W", + "æ Ļ", + "Ġst ove", + "Ġsto ve", + "Ġcounter part", + "_ Product", + "_Pro duct", + "_MAN AGER", + "Ġinf ring", + "Ġinfr ing", + "Ġ ERA", + "ĠE RA", + "ĠER A", + "_ party", + "_p arty", + "_part y", + "_par ty", + "Ñ ij", + "Ġin ici", + "Ġi nici", + "Ġini ci", + "_ Request", + "_Re quest", + "Ġmir acle", + "Ġmirac le", + "Ġcancel Button", + "S py", + "Sp y", + "at ó", + "Ġpol ish", + "Ġpo lish", + "Ġpolis h", + "ĠNic ole", + "ĠNi cole", + "ĠNico le", + "ĠNicol e", + ". displayName", + ".display Name", + "\\ Requests", + "\\Request s", + "Ġuse History", + "Router Module", + "Ġst ared", + "Ġstar ed", + "Ġsta red", + "Ġstare d", + "I DER", + "ID ER", + "IDE R", + "Ñĥнк ÑĨи", + "Ġ nota", + "Ġn ota", + "Ġnot a", + "Ġno ta", + "$ arr", + "$a rr", + "$ar r", + "pec ified", + "Ġt opp", + "Ġto pp", + "Ġtop p", + "_DR IVER", + "_DRIVE R", + "/ ng", + "/n g", + "å ł", + "_ tm", + "_t m", + "% timeout", + "< s", + "Ġ (*)", + "Ġ( *)", + "Ġ(* )", + "Ġ HttpRequest", + "ĠHttp Request", + "_ TRACK", + "_TR ACK", + "_TRA CK", + "( note", + "(n ote", + "(not e", + "(no te", + "Ġ Explore", + "ĠExp lore", + "ĠExpl ore", + "_ serv", + "_s erv", + "_se rv", + "_ser v", + "Ġ ç»", + "Ġç »", + "B inder", + "Bind er", + "Bin der", + "Bi nder", + "+ \",", + "+\" ,", + ". att", + ".a tt", + ".at t", + "ĠEth i", + "ĠEt hi", + "Ġc ódigo", + "= '\\", + "=' \\", + ". lines", + ".l ines", + ".line s", + ".li nes", + ".lin es", + "( Of", + "(O f", + "å° Ĩ", + "miss ible", + "Ġ vé", + "Ġv é", + "Ġac oustic", + "Ġcraft ing", + "n it", + "ni t", + ". ba", + ".b a", + "ĠLuc y", + "ĠLu cy", + "Ġi Pod", + "ĠiP od", + "Ġpup ils", + "Ġpupil s", + "- max", + "-m ax", + "_ wr", + "_w r", + "( cp", + "(c p", + "Ġ REPORT", + "ĠRE PORT", + "ĠREP ORT", + "Ġ dns", + "Ġd ns", + "Ġdn s", + "Ġ References", + "ĠRe ferences", + "ĠReference s", + "ĠRefer ences", + "Ġunder taken", + "Ġundert aken", + "Ġundertake n", + "Ġkø benhavn", + "Ġ chai", + "Ġc hai", + "Ġch ai", + "Ġcha i", + "ĠC roat", + "ĠCro at", + "_ Log", + "_L og", + "r owned", + "row ned", + "rown ed", + "_ med", + "_m ed", + "_me d", + "ĉ date", + "ĉd ate", + "# __", + "Ġcost umes", + "Ġcostume s", + "Ġ Requires", + "ĠRe quires", + "ĠRequire s", + "aff le", + "ç Ĭ¶æĢģ", + "çĬ¶ æĢģ", + "-S emit", + "-Se mit", + "ela ide", + "еÑĤ од", + "Ġp estic", + "Ġpes tic", + "Ġpest ic", + "Ġ dra", + "Ġd ra", + "Ġdr a", + "D OCUMENT", + "DOC UMENT", + "Ġ ...čĊ", + "Ġ... čĊ", + "Ġ.. .čĊ", + "} `}Ċ", + "}` }Ċ", + "}`} Ċ", + "ĠA uction", + "ĠAu ction", + "Ġ Dock", + "ĠD ock", + "ĠDo ck", + "ĠDoc k", + "xxxx xxxx", + "( getString", + "(get String", + "ħ į", + "Ġborder Width", + "ĠM achinery", + "ĠMachine ry", + "ĠMach inery", + "Ġpredict able", + "Ġpredic table", + ". SH", + ".S H", + "Ġam plitude", + "Ġampl itude", + ".for Root", + "I Navigation", + "IN avigation", + "Table Model", + "at trib", + "att rib", + "attr ib", + "Ġmaneu ver", + "Ġexc av", + "B ERS", + "BER S", + "BE RS", + "Ġd apat", + "Ġda pat", + "Ġdap at", + "Ġinstall ations", + "Ġinstallation s", + "Ġinstal lations", + ". Async", + ".A sync", + ".As ync", + "Ġ rays", + "Ġr ays", + "Ġra ys", + "Ġray s", + "= âĢĿ", + "; ččĊ", + ". crypto", + ".c rypto", + "_ dbg", + "_d bg", + "_db g", + "Ġ Enumerable", + "ĠEnum erable", + "Of Size", + "_ epochs", + "_epoch s", + "m w", + "M ENU", + "ME NU", + "out line", + "ĠP apers", + "ĠPa pers", + "ĠPaper s", + "ĠPap ers", + "= ===========Ċ", + "== ==========Ċ", + "==== ========Ċ", + "======== ====Ċ", + "=== =========Ċ", + "============ Ċ", + "=========== =Ċ", + "========= ===Ċ", + "========== ==Ċ", + "====== ======Ċ", + "===== =======Ċ", + "======= =====Ċ", + "Ġuniform s", + "Ġuni forms", + "ĠG ig", + "ĠGi g", + "- package", + "-p ackage", + "-pack age", + "ĠJ enkins", + "ĠJen kins", + "Ġ HomePage", + "ĠHome Page", + ". isSelected", + ".is Selected", + "Ġmechan ic", + "Ġmech anic", + "M K", + "Ġ Sounds", + "ĠS ounds", + "ĠSo unds", + "ĠSou nds", + "ĠSound s", + "//---------------------------------------------------------------- -------------Ċ", + "//---------------------------------------------------------------------------- -Ċ", + "Ġresearch ing", + "Ġ infos", + "Ġin fos", + "Ġinfo s", + "Ġinf os", + "o graphics", + "og raphics", + "ograph ics", + "ographic s", + "er set", + "ers et", + "erse t", + "([ '/", + "([' /", + "ĠTim ber", + ". agent", + ".a gent", + ".ag ent", + ".age nt", + ".to JSON", + "_ commands", + "_command s", + "_comm ands", + "p aring", + "par ing", + "pa ring", + "_ adjust", + "_ad just", + "_adj ust", + ". nome", + ".n ome", + ".no me", + ".nom e", + "( glm", + "(g lm", + "(gl m", + "Status Bar", + "file path", + "? âĢĻ", + "Ġdet ective", + "Ġdetect ive", + "Ġuns erer", + "Ġunser er", + "Ġunsere r", + "ĠTi bet", + "ĠTib et", + "EN DED", + "END ED", + "( seed", + "(s eed", + "(se ed", + "Ġsne ak", + "Ġa mor", + "Ġam or", + "Ġamo r", + "=\" //", + "=\"/ /", + "ĠPan thers", + "ĠPanther s", + "all ax", + "alla x", + "ĠL IVE", + "ĠLI VE", + "ĉ DWORD", + "ĉD WORD", + "] =-", + "]= -", + "Ġt ornado", + "Ġtorn ado", + "/ min", + "/m in", + "Ġl ungs", + "Ġlung s", + "Ġlun gs", + "- current", + "-c urrent", + "-cur rent", + "Ġ Booking", + "ĠBo oking", + "ĠBook ing", + "ĠBoo king", + "åĪĹ è¡¨", + "Ġenjoy ment", + "ठ°", + "J A", + "t yped", + "type d", + "ty ped", + "typ ed", + ". Btn", + ".B tn", + "f at", + "fa t", + "u gal", + "ug al", + "uga l", + "Ġ Shares", + "ĠSh ares", + "ĠShare s", + "ĠSha res", + "ĠShar es", + "Ġdis gr", + "Ġdisg r", + "Ġ BAR", + "ĠB AR", + "ĠBA R", + "Ġ FOX", + "ĠF OX", + "ĠFO X", + "Op code", + "Ġ Sz", + "ĠS z", + "key down", + "iction aries", + "Ġdet ailing", + "Ġdetail ing", + "} ))Ċ", + "}) )Ċ", + "})) Ċ", + "Ġ pok", + "Ġp ok", + "Ġpo k", + "Ġdemonstr ating", + "Ġ notation", + "Ġn otation", + "Ġnot ation", + "Ġnota tion", + "l ayers", + "la yers", + "lay ers", + "layer s", + "@ if", + "ĠN PR", + "ĠNP R", + ".strict Equal", + "Ġ Recipes", + "ĠRec ipes", + "ĠRecipe s", + ". Tensor", + ".T ensor", + "Ġliqu or", + "Ġdeb ts", + "Ġdebt s", + ". endsWith", + ".end sWith", + ".ends With", + "W heel", + "Wh eel", + ". Pos", + ".P os", + "C SV", + "CS V", + "$ arity", + "$ar ity", + "Ġun stable", + "Ġuns table", + "Ġunst able", + "( loss", + "(l oss", + "(lo ss", + "EN SOR", + "ENS OR", + "Ġel even", + "Ġele ven", + "Ġelev en", + "ĠL opez", + "ĠLo pez", + "ĠHop kins", + "c onom", + "con om", + "co nom", + "cono m", + "ĠS eth", + "ĠSe th", + "ĠSet h", + "Ġpo ems", + "Ġpoem s", + "Q uant", + "Qu ant", + "Ġg sl", + "Ġgs l", + "Ġsy rup", + "Ġs ibling", + "Ġsi bling", + "Ġc ass", + "Ġca ss", + "Ġcas s", + "- vous", + "-v ous", + "ö t", + "_P ATTERN", + "_ SECTION", + "_SE CTION", + "_SEC TION", + "est imated", + "estimate d", + "up grade", + ". mongodb", + ".m ongodb", + ".mongo db", + "ĠBo at", + "_ CTX", + "_C TX", + "_CT X", + "Ġfetch ing", + "Ġfet ching", + "u stin", + "us tin", + "ust in", + "p iel", + "pi el", + "pie l", + "M arg", + "Mar g", + "Ma rg", + "Ref lection", + "Reflect ion", + "Ġ duct", + "Ġd uct", + "Ġdu ct", + "ĠMunicip al", + "Ġ bx", + "Ġb x", + ". GetCurrent", + ".Get Current", + "m link", + "ml ink", + "mlin k", + "ĠAccount ing", + "ĠGen eva", + "ĠGene va", + "_ Pos", + "_P os", + "Ġp asser", + "Ġpass er", + "Ġpas ser", + "Ġpasse r", + "Ġhear ings", + "Ġhearing s", + "com pan", + "comp an", + "Ġfrag ile", + "Initial izer", + "Initialize r", + "w alker", + "walk er", + "wal ker", + ". Material", + ".M aterial", + "ĠH unting", + "ĠHun ting", + "ĠHunt ing", + "try side", + "trys ide", + "Ġ kat", + "Ġk at", + "Ġka t", + "Ġcl erk", + "Ġcle rk", + "Ġcler k", + "á Ł", + "do ing", + "doi ng", + "ĉ group", + "ĉg roup", + "ĉgr oup", + "Ġsan ction", + "Ġsanct ion", + ". lb", + ".l b", + "Ġ Lazy", + "ĠL azy", + "ĠLa zy", + "ĠLaz y", + "Ġ Constraint", + "ĠCon straint", + "ĠConstr aint", + "P agination", + "Pag ination", + "Ġpou vez", + "ĠInd icates", + "M ER", + "ME R", + "Ġc ours", + "Ġco urs", + "Ġcour s", + "Ġcou rs", + "Ġy early", + "Ġyear ly", + "Ġg rosse", + "Ġgro sse", + "Ġgross e", + "Ġgros se", + "abb rev", + "abbr ev", + "Ġ DON", + "ĠD ON", + "ĠDO N", + "Ġpro ceeded", + "Ġproceed ed", + "ent lich", + "Ġ propertyName", + "Ġproperty Name", + "ĠTe aching", + "ĠTea ching", + "ĠTeach ing", + "st adt", + "sta dt", + "stad t", + "Ġc utoff", + "Ġcut off", + "or ners", + "orn ers", + "orne rs", + "Ġa frica", + "Ġaf rica", + "Ġafr ica", + "Ġ renders", + "Ġr enders", + "Ġrender s", + "Ġren ders", + "Ġrend ers", + "ĠYan kees", + "ĠYankee s", + "Ġ Toolbar", + "ĠTool bar", + "s paces", + "sp aces", + "space s", + "spa ces", + ".fill Style", + "Ġseg undo", + "Ġsegu ndo", + "_ strlen", + "_st rlen", + "_str len", + ". Firebase", + ".F irebase", + ".Fire base", + "å¤ Ħ", + "Ġmention ing", + "\\ (", + "ĠVal ve", + "S etter", + "Set ter", + "Ġsp ans", + "Ġspan s", + "Ġspa ns", + "ĠAl cohol", + "Ġ Letters", + "ĠLet ters", + "ĠLetter s", + "\\ xe", + "\\x e", + "Ġ TK", + "ĠT K", + "_ BLE", + "_B LE", + "_BL E", + ". getResult", + ".get Result", + "< Player", + "

\"", + "=> \"", + "t lement", + "tle ment", + "tl ement", + "$ (\"", + "$( \"", + "From String", + "ĠB ild", + "ĠBi ld", + "ĠBil d", + "Ġcon ventions", + "Ġconv entions", + "Ġconvent ions", + "Ġconvention s", + "_ native", + "_n ative", + "_nat ive", + "Ġ Inspector", + "ĠIns pector", + "ĠInsp ector", + "ĠP ist", + "ĠPi st", + "ĠPis t", + "u bar", + "ub ar", + "uba r", + "Ġ regs", + "Ġre gs", + "Ġreg s", + "ĠP ilot", + "ĠPi lot", + "ĠPil ot", + "T hus", + "Th us", + "Thu s", + "> '+", + ">' +", + "Ġ cela", + "Ġc ela", + "Ġce la", + "Ġcel a", + ". news", + ".n ews", + ".new s", + ".ne ws", + "( Product", + "L iving", + "Li ving", + "Liv ing", + "R ussia", + "Russ ia", + "Ġ facet", + "Ġf acet", + "Ġfac et", + "Ġface t", + "e tical", + "et ical", + "etic al", + "eti cal", + "Ġ[ '$", + "Ġ[' $", + "/ [", + "Ġ Dire", + "ĠD ire", + "ĠDi re", + "ĠDir e", + "Ġg ases", + "Ġgas es", + "Ġga ses", + "ĠIN FORMATION", + "Ġ Eat", + "ĠE at", + "ĠEa t", + "ĠFor ums", + "ĠForum s", + "Ġ Characters", + "ĠChar acters", + "ĠCharacter s", + "_ met", + "_m et", + "_me t", + "Ġ ìĭľ", + "Ġìĭ ľ", + "Ġk ings", + "Ġking s", + "Ġkin gs", + "a chie", + "ach ie", + "achi e", + "Ġ Lambda", + "ĠL ambda", + "ĠLamb da", + "Ġt imers", + "Ġtime rs", + "Ġtim ers", + "Ġti mers", + "Ġtimer s", + "ĠL ighting", + "ĠLight ing", + "ĠCas ey", + "ĠCase y", + "ĠCa sey", + "ad dir", + "add ir", + "an dex", + "and ex", + "ande x", + ". answer", + ".an swer", + "Ġ Hip", + "ĠH ip", + "ĠHi p", + "ĠPr incip", + "Start Date", + "Ġ ãĢĮ", + "ĠãĢ Į", + "t res", + "tr es", + "tre s", + "Ġ &#", + "Ġ& #", + ".Max Value", + "ĠPro blems", + "ĠProblem s", + "ĠProb lems", + "ĠProble ms", + "Ġ latex", + "Ġla tex", + "Ġlate x", + "Ġlat ex", + "Of Class", + "ĠL ynn", + "ĠLy nn", + "ĠLyn n", + "/ /'", + "// '", + "Ġvoy age", + "Ġsh uttle", + "Ġshut tle", + "ĠR oller", + "ĠRo ller", + "ĠRoll er", + "ĠRol ler", + "ĠRuntime Error", + "u ya", + "uy a", + "D ic", + "Di c", + "ĉ builder", + "ĉb uilder", + "ĉbuild er", + "Ġbul lying", + "Ġbull ying", + "Ġbully ing", + "Ġsimple st", + "Ġsimp lest", + "Ġsimpl est", + "Ġsimples t", + ". called", + ".c alled", + ".call ed", + ".cal led", + "Ġ LR", + "ĠL R", + "Ġmor ality", + "Ġmoral ity", + "Ġst urdy", + "tr acking", + "track ing", + ". swagger", + ".sw agger", + "_ BIND", + "_B IND", + "_BIN D", + "I TOR", + "IT OR", + "ITO R", + "-url encoded", + "Ġ Ñħ", + "ĠÑ ħ", + "ĠTr inity", + "Ġtr aps", + "Ġtra ps", + "Ġtrap s", + "Ġ |-", + "Ġ| -", + "Ġ setText", + "Ġset Text", + "Ġbar gain", + "Ġbarg ain", + "Ġbr akes", + "Ġbra kes", + "Ġbrake s", + ". getCode", + ".get Code", + ".g etCode", + ".getC ode", + "Ġm igrate", + "Ġmigr ate", + "Ġmig rate", + "Ġ ribbon", + "Ġr ibbon", + "Ġrib bon", + ") return", + ")r eturn", + "Ġ charger", + "Ġch arger", + "Ġchar ger", + "Ġcharg er", + "Ġcharge r", + "a com", + "ac om", + "aco m", + "ADI US", + "ĠAmb assador", + "- after", + "-a fter", + "Ġ anni", + "Ġan ni", + "Ġann i", + "ĉ spin", + "ĉs pin", + "ĉsp in", + "Con cept", + "ĠHend erson", + "Ġ HOST", + "ĠH OST", + "ĠHO ST", + ". rank", + ".r ank", + ".ra nk", + "ĠNorth east", + "ĠNor theast", + "Ġber lin", + "Ġre quis", + "Ġreq uis", + "Ġrequ is", + ". feed", + ".f eed", + ".fe ed", + "Ġsource Mapping", + "ĠRen contre", + ". ajax", + ".a jax", + "nest js", + "Ġt rek", + "Ġtr ek", + "Ġtre k", + "ĠN acional", + "Ġ& [", + "Ġpay able", + "or tex", + "ort ex", + "orte x", + "Ġ dept", + "Ġd ept", + "Ġde pt", + "Ġdep t", + "field Name", + "Ġcomp letes", + "Ġcomple tes", + "Ġcomplet es", + "Ġcompl etes", + "Ġcomplete s", + "ĠR VA", + "ĠRV A", + "Ġon ions", + "Ġonion s", + "al ignment", + "align ment", + "Form ats", + "Format s", + "Ġ' {$", + "Ġ'{ $", + "Hash Set", + "ĠB od", + "ĠBo d", + ".Invariant Culture", + "Ġsett lements", + "Ġsettlement s", + "Ġsettle ments", + "Ġ hydr", + "Ġhy dr", + ". updated", + ".update d", + ".up dated", + "v enth", + "ve nth", + "vent h", + "ven th", + "( seconds", + "(se conds", + "(second s", + "(sec onds", + "=\" /\"", + "=\"/ \"", + "Ġweb page", + "( ĊĊ", + "(Ċ Ċ", + "Ġ tir", + "Ġt ir", + "Ġti r", + "Ġt oes", + "Ġto es", + "Ġtoe s", + "ĠB rick", + "ĠBr ick", + "ĠBri ck", + "Ġamb ition", + "Ġambit ion", + "P ot", + "Po t", + "= max", + "=m ax", + "E TIME", + "ET IME", + "Ġde pot", + "Ġdep ot", + "c alls", + "cal ls", + "call s", + "ĠNor wegian", + "` :", + "Ġ burger", + "Ġb urger", + "Ġbur ger", + "Ġburg er", + "Ġburge r", + "Ġprofessor s", + "Ġprofess ors", + "Ġ Allocate", + "ĠAl locate", + "ĠAll ocate", + "ĠAlloc ate", + "-third s", + "- chart", + "-c hart", + "-ch art", + "-char t", + "Ġ ford", + "Ġf ord", + "Ġfor d", + "Ġfo rd", + "* N", + ".k otlin", + "Ġpaper work", + "Ġ DEVICE", + "ĠDE VICE", + "ĠDEV ICE", + "% @\",", + "%@ \",", + "re spect", + "res pect", + "resp ect", + "( mp", + "(m p", + "é «ĺ", + "é« ĺ", + "- if", + "-i f", + "Ġcush ion", + "o bot", + "ob ot", + "obo t", + "Ġp arc", + "Ġpar c", + "Ġpa rc", + "S PACE", + "SP ACE", + "SPA CE", + "ĠNet anyahu", + "Ġself ish", + "Ġsel fish", + "f eat", + "fe at", + "fea t", + "Ġ clientes", + "Ġcl ientes", + "Ġclient es", + "Ġcli entes", + "Ġcliente s", + "- tools", + "-t ools", + "-to ols", + "-tool s", + "-too ls", + "Ġp orch", + "Ġpo rch", + "Ġpor ch", + "Ġ jq", + "Ġj q", + ". verbose", + ".ver bose", + "Ġlib erals", + "Ġliberal s", + "Ġliber als", + "] )ĊĊĊ", + "]) ĊĊĊ", + "])Ċ ĊĊ", + "])ĊĊ Ċ", + "p ies", + "pi es", + "pie s", + "Not Blank", + "( term", + "(t erm", + "(te rm", + "È Ľi", + "ÈĽ i", + "_ Params", + "_Param s", + ". normalize", + ".normal ize", + "B ullet", + "AS IC", + "ASI C", + "( hex", + "(h ex", + "_ cliente", + "_cl iente", + "_client e", + "_cli ente", + "+ ,", + "_ DI", + "_D I", + "Ġforth coming", + "} \")]Ċ", + "}\" )]Ċ", + "}\") ]Ċ", + "s eo", + "se o", + "U m", + "> Name", + ">N ame", + "Ġcomfort ably", + "irect ional", + "irection al", + "W ITH", + "WI TH", + "/ pr", + "/p r", + "Ġ Poor", + "ĠP oor", + "ĠPo or", + "ĠV itamin", + "ĠVit amin", + "ĠVita min", + "v ic", + "vi c", + "G H", + "Ġprior it", + "Ġprio rit", + "Ġ NN", + "ĠN N", + "Ġ Closed", + "ĠC losed", + "ĠCl osed", + "ĠClose d", + "ĠClo sed", + "¤ í", + "Ġ isOpen", + "Ġis Open", + "\\ Console", + "And Feel", + ". SUCCESS", + ".S UCCESS", + "_OPER ATION", + "p olation", + "po lation", + "pol ation", + "ĠT as", + "ĠTa s", + "p sz", + "ps z", + "> '.", + ">' .", + "C URRENT", + "V endor", + "host s", + "ho sts", + "hos ts", + "ĠE rd", + "ĠEr d", + ">tag ger", + ">t agger", + "ĠsourceMapping URL", + "Ġmar athon", + "_ closed", + "_c losed", + "_cl osed", + "_close d", + "Ġex emption", + "Ġexem ption", + "Ġexempt ion", + "Ġexemp tion", + "Ġrecogn izes", + "Ġrecognize s", + "ide show", + "ides how", + "' $", + "(' /');Ċ", + "('/ ');Ċ", + "('/') ;Ċ", + "m its", + "mit s", + "mi ts", + "wa rz", + "war z", + "ĠCh erry", + "ĠCher ry", + "µ ¬", + "n or", + "no r", + "p orte", + "port e", + "por te", + "Ġ wl", + "Ġw l", + "_ backup", + "_back up", + ".get Boolean", + ". getResource", + ".get Resource", + "Ġdefinit ive", + "Ġdefin itive", + ". EditText", + ".Edit Text", + "Ġ sÃŃ", + "Ġs ÃŃ", + ". CONT", + ".C ONT", + ".CON T", + ".CO NT", + "Ġ PLAYER", + "ĠPL AYER", + "ĠPLAY ER", + ". cards", + ".c ards", + ".card s", + ".car ds", + "ĠSh ore", + "ĠSho re", + "(' /')Ċ", + "('/ ')Ċ", + "('/') Ċ", + "cl uir", + "Web Driver", + "( month", + "(m onth", + "(mon th", + "- release", + "-r elease", + "-re lease", + "-rel ease", + "Ġins pector", + "Ġinspect or", + "Ġinsp ector", + "å £", + "Ġ NF", + "ĠN F", + "_ clip", + "_c lip", + "_cl ip", + "_cli p", + "å ŃIJ", + "åŃ IJ", + "Ġinter acting", + "Ġinteract ing", + ". tmp", + ".t mp", + ".tm p", + "Ġ '''ĊĊ", + "Ġ'' 'ĊĊ", + "Ġ'''Ċ Ċ", + "Ġ''' ĊĊ", + "Ġ dee", + "Ġd ee", + "Ġde e", + "Ġf rost", + "Ġfr ost", + "Ġfro st", + "\" ]))Ċ", + "\"] ))Ċ", + "\"]) )Ċ", + "\"])) Ċ", + "Ġ Places", + "ĠP laces", + "ĠPl aces", + "ĠPlace s", + "ĠPla ces", + "Th rows", + "Throw s", + "Thr ows", + "f ork", + "fo rk", + "for k", + "/ day", + "/d ay", + "i Phone", + "Ġ MIC", + "ĠM IC", + "ĠMI C", + "Ġf olding", + "Ġfol ding", + "Ġfold ing", + "Ġcr ore", + "Ġcro re", + "ĠCh iefs", + "ĠChief s", + "ĠChi efs", + "pher ical", + "pheric al", + "phe rical", + "( price", + "(p rice", + "(pr ice", + ".Write String", + "Ġex iting", + "Ġexit ing", + "] ',Ċ", + "]', Ċ", + "]' ,Ċ", + "ight ing", + "igh ting", + "Ing redient", + "( vertex", + "(ver tex", + "Ġ scrollView", + "Ġs crollView", + "Ġscroll View", + "h f", + ": new", + ":n ew", + "S EN", + "SE N", + "s ector", + "se ctor", + "sec tor", + "sect or", + "Ġs pins", + "Ġsp ins", + "Ġspin s", + "Ġspi ns", + "Ġ Scheduler", + "ĠS cheduler", + "ĠSchedule r", + "o techn", + "ot echn", + "ote chn", + "otech n", + "otec hn", + "sem icolon", + "semi colon", + "Font OfSize", + "ĠSpecific ally", + "fl amm", + ". ObjectId", + ".Object Id", + "Ġc onta", + "Ġcon ta", + "Ġcont a", + "_ permissions", + "_per missions", + "_perm issions", + "_permission s", + "ĉ FROM", + "ĉF ROM", + "I CODE", + "IC ODE", + "ICO DE", + "/ kg", + "/k g", + "ĠHot els", + "ĠHotel s", + "- med", + "-m ed", + "-me d", + "ĠD in", + "ĠDi n", + "Ġn avy", + "Ġna vy", + "Ġnav y", + "get Param", + "Ġm end", + "Ġme nd", + "Ġmen d", + "Ġportray ed", + "ĠMet ropolitan", + "P ainter", + "Paint er", + "Pa inter", + "Ġref erral", + "Ġrefer ral", + "_ good", + "_g ood", + "_go od", + "Ġmar vel", + "os aic", + "osa ic", + "> (&", + ">( &", + ". ur", + ".u r", + "Ġes tos", + "Ġest os", + "Ġesto s", + "Will iam", + "Ġtim ber", + "Ġquel ques", + "Ġquelque s", + "Ġ Documents", + "ĠDocument s", + "ĠDoc uments", + ".X aml", + "Ġb atches", + "Ġbatch es", + "Ġbat ches", + "éģ ĵ", + "Ġ Released", + "ĠRe leased", + "ĠRelease d", + "T ail", + "Ta il", + "Tai l", + "CO OKIE", + "h eid", + "he id", + "hei d", + "_ station", + "_st ation", + "_stat ion", + "_sta tion", + "Ġ Via", + "ĠV ia", + "ĠVi a", + "S ale", + "Sal e", + "Sa le", + "Ġ Repeat", + "ĠRe peat", + "ĠRep eat", + "Ġpro min", + "Ġpr omin", + "Ġprom in", + "ĠZ o", + "- forward", + "-for ward", + "Ġ Ion", + "ĠI on", + "ĠIo n", + "it ary", + "ita ry", + "itar y", + "Ġj us", + "Ġju s", + "- request", + "-re quest", + "Ġproud ly", + "Ġ Streaming", + "ĠStream ing", + "ĠStre aming", + "( MouseEvent", + "(Mouse Event", + "ĠS print", + "ĠSp rint", + "ĠSpr int", + "_ rotation", + "_r otation", + "_rot ation", + "Re positories", + "Ġt art", + "Ġta rt", + "Ġtar t", + "ĠÑģ в", + "Ġm appings", + "Ġmapping s", + "è ª", + "C u", + "C ycle", + "Cy cle", + "Ġb un", + "Ġbu n", + "ĉ lua", + "ĉl ua", + "ãĥ ī", + "Ġ( (!", + "Ġ(( !", + "Ġcollect ively", + "Ġcollective ly", + "Ġ Cond", + "ĠC ond", + "ĠCon d", + "ĠCo nd", + "Ġws zyst", + "Ġwsz yst", + "( lib", + "(l ib", + "(li b", + "openh agen", + "_ skip", + "_s kip", + "_sk ip", + ".Column Header", + "é Ĥ", + "perience d", + "peri enced", + "ı è¿°", + "_ props", + "_p rops", + "_pro ps", + "_pr ops", + "_prop s", + "Ġcon trace", + "Ġcont race", + "Ġcontr ace", + "Ġcontra ce", + "Ġmatch up", + "ab etic", + "abe tic", + "abet ic", + ". members", + ".m embers", + ".member s", + ".mem bers", + "R ECT", + "RE CT", + "REC T", + "( dat", + "(d at", + "(da t", + "Ġs og", + "Ġso g", + "re nom", + "ren om", + "reno m", + "_ Method", + "_M ethod", + "Custom ers", + "Customer s", + "ful lname", + "full name", + "Z N", + "r etry", + "re try", + "ret ry", + "Ġ kap", + "Ġk ap", + "Ġka p", + "ĠN eu", + "ĠNe u", + "è Ĭ", + "add Child", + "will Return", + "_ permalink", + "_p ermalink", + "_per malink", + "_perm alink", + "Ġenerg etic", + "Ġener getic", + "ĠW et", + "ĠWe t", + "ĠM orr", + "ĠMo rr", + "ĠMor r", + "Ġ gcd", + "Ġg cd", + "Ġgc d", + "co unts", + "count s", + "cou nts", + ", type", + ",t ype", + "d ig", + "di g", + "( Login", + "(Log in", + "Ġcr acks", + "Ġcrack s", + "Ġcra cks", + "Ġb acterial", + "Ġbacter ial", + "Ġbacteria l", + "ĠM eat", + "ĠMe at", + "ĠArm strong", + "ĠBro nze", + "ĠBron ze", + "Ġapprox imate", + "_ dirs", + "_d irs", + "_dir s", + "_di rs", + "l iga", + "li ga", + "lig a", + "ÅĤ ad", + "ÅĤa d", + "Ġkind ness", + "Ġ contre", + "Ġcon tre", + "Ġcont re", + "Ġcontr e", + "ĠE VERY", + "ĠEV ERY", + "ĠEVER Y", + "ĠEVE RY", + "M ET", + "ME T", + "Ġann ouncements", + "Ġannounc ements", + "Ġannouncement s", + "Ġannounce ments", + "g pio", + "gp io", + "ĠWaitFor Seconds", + "ĠPhoto shop", + "ĠPhotos hop", + "Ġdis contin", + "/ dd", + "/d d", + "Ġtop ology", + "Ġtopo logy", + "an ical", + "ani cal", + "anic al", + ". interface", + ".inter face", + "auc oup", + ". HashSet", + ".Hash Set", + "ARI ANT", + "( routes", + "(r outes", + "(route s", + "(ro utes", + "ĠT eh", + "ĠTe h", + "Ġh ype", + "Ġhy pe", + "Ġhyp e", + "] \").", + "]\" ).", + "]\") .", + "Ġs lam", + "Ġsl am", + "Ġsla m", + "Ġbr oth", + "Ġbro th", + "- inter", + "-in ter", + "-int er", + "ĠR id", + "ĠRi d", + "- manager", + "-m anager", + "-man ager", + "Cancel ar", + "Ġ Pagination", + "ĠP agination", + "ĠPag ination", + "Ġsound track", + "Ġpos terior", + "Ġpost erior", + "Ġposter ior", + "Ġposte rior", + "Ġsc rub", + "Ġscr ub", + "c reating", + "cre ating", + "cr eating", + "creat ing", + "- *", + "ir teen", + "irt een", + ". dy", + ".d y", + ".s ymmetric", + ".sym metric", + "Ġ \"\".", + "Ġ\" \".", + "Ġ\"\" .", + "= ==============", + "== =============", + "==== ===========", + "======== =======", + "=== ============", + "============ ===", + "============= ==", + "=========== ====", + "============== =", + "========= ======", + "========== =====", + "====== =========", + "===== ==========", + "======= ========", + "Ġch assis", + "ĠnumberOf Rows", + "De veloper", + "Develop er", + "_ bins", + "_b ins", + "_bin s", + "_bi ns", + "Ġ OUR", + "ĠO UR", + "ĠOU R", + "ri eb", + "rie b", + "P ros", + "Pro s", + "Pr os", + "Ġ wiÄĻ", + "Ġw iÄĻ", + "Ġwi ÄĻ", + "\" d", + "Ġasync io", + "ze igen", + "_ spi", + "_s pi", + "_sp i", + ". ALL", + ".A LL", + ".AL L", + "Ġscre ws", + "Ġscr ews", + "Ġscrew s", + "Ch inese", + "Ġ apiKey", + "Ġapi Key", + "Ġun successful", + "ĠSea hawks", + "ĠSeah awks", + "O RG", + "OR G", + "ç« ł", + "Ġprofession ally", + "Ġprofessional ly", + "Ġ Coupon", + "ĠC oupon", + "ĠCo upon", + "ĠCou pon", + "åŃĹ æ®µ", + "Con vention", + "Conv ention", + "Ġpol ym", + "Ġpoly m", + "æī ĭ", + "Ġsal vation", + "Ġsalv ation", + "Ġengine ered", + "Ġengineer ed", + "ĠW rest", + "ĠWr est", + "Ġ GCC", + "ĠG CC", + "ĠGC C", + "Ġwar mer", + "Ġwarm er", + "Layout Constraint", + "Ġag grav", + "Ġagg rav", + "S cripts", + "Script s", + "vent ure", + "ven ture", + "Ġrefriger ator", + "Ġinnov ations", + "Ġinnovation s", + "Ġ Runner", + "ĠR unner", + "ĠRun ner", + "N IC", + "NI C", + "ĠRoll ing", + "ĠRol ling", + "Control Events", + "Ġlo os", + "p ac", + "pa c", + "ĉ panel", + "ĉp anel", + "e fe", + "ef e", + "ĠBudd ha", + "ĠBuddh a", + "- -------------Ċ", + "-- ------------Ċ", + "---- ----------Ċ", + "-------- ------Ċ", + "--- -----------Ċ", + "------------ --Ċ", + "----- ---------Ċ", + "---------- ----Ċ", + "------ --------Ċ", + "----------- ---Ċ", + "------------- -Ċ", + "------- -------Ċ", + "--------- -----Ċ", + "-------------- Ċ", + "åº ĵ", + "(for Key", + "Ġl umin", + "Ġlu min", + "Ġlum in", + "Ġ (?", + "Ġ( ?", + "ĠA IDS", + "ĠAI DS", + ", user", + ",u ser", + "im ientos", + "imiento s", + "content Type", + "ant lr", + "é ¦", + "ĠW elt", + "ĠWe lt", + "ĠWel t", + "P roduction", + "Pro duction", + "Product ion", + "Produ ction", + "Prod uction", + "m ight", + "mi ght", + "ĠV II", + "ĠVI I", + "\" ,(", + "\", (", + "Ġobs erving", + "Ġobserv ing", + "Ġdeliber ate", + "( control", + "(c ontrol", + "(cont rol", + "Ġwith d", + "Ġwit hd", + "Ġse mana", + "Ġsem ana", + "ST ACK", + "STA CK", + "u chen", + "uch en", + "uc hen", + "uche n", + "N ice", + "Ni ce", + "Nic e", + "ĠDeutsch land", + "Ġ Specifies", + "ĠSpec ifies", + "d ma", + "dm a", + "iz io", + "izi o", + "ĠF acts", + "ĠFac ts", + "ĠFa cts", + "ĠFact s", + "_ popup", + "_p opup", + "_pop up", + "ĠDirect ors", + "ĠDirector s", + "ĠDir ectors", + "ĠDire ctors", + "{ :", + "[ R", + "ĠÑį леменÑĤ", + "ĠÑįлем енÑĤ", + "Ġ plat", + "Ġp lat", + "Ġpl at", + "Ġpla t", + "Ġdirect ing", + "ä¸ ī", + "ĠGil bert", + "âĢ¦ .ĊĊ", + "âĢ¦. ĊĊ", + ". qml", + ".q ml", + "Ġthere after", + "Ġdis position", + "Ġdisp osition", + "Ġdispos ition", + "Ġdisposit ion", + "d raft", + "dr aft", + "dra ft", + "Ġs urgeon", + "Ġsurg eon", + "Ġsurge on", + "ĠIns ider", + "ĠInside r", + "Bl end", + "ĠT rev", + "ĠTr ev", + "ĠTre v", + "tr insic", + "tri nsic", + "To pics", + "Top ics", + "Topic s", + "r ieve", + "ri eve", + "rie ve", + "_ FILENAME", + "_FILE NAME", + "Ġaut res", + "Ġau tres", + "Ġautre s", + "J ose", + "Jo se", + "Jos e", + "Pro ducer", + "Produ cer", + "Prod ucer", + "e rus", + "er us", + "eru s", + "Ġpe tit", + "Ġpet it", + "Ġ NEXT", + "ĠN EXT", + "ĠNE XT", + "Ġ Filters", + "ĠF ilters", + "ĠFilter s", + "ĠFil ters", + "Ġrep licate", + "Ġrepl icate", + "Ġreplic ate", + "Ġreplica te", + "\" ]).", + "\"] ).", + "\"]) .", + "Ġl enders", + "Ġlen ders", + "Ġlend ers", + "Ġlender s", + "] \",Ċ", + "]\", Ċ", + "]\" ,Ċ", + "; charset", + "Cpp Object", + "Ġfl oral", + "Ġflo ral", + "Ġflor al", + "Ġflora l", + "Ġ Tipo", + "ĠT ipo", + "ĠTi po", + "ĠTip o", + "Ġcirc uits", + "Ġcircuit s", + "e asy", + "ea sy", + "(& $", + "it ta", + "itt a", + "er yl", + "ery l", + "_ COMMON", + "_COM MON", + "_COMM ON", + "' }}>Ċ", + "'} }>Ċ", + "'}} >Ċ", + "'}}> Ċ", + "-b acked", + "-back ed", + "( variable", + "(var iable", + "( Index", + "(In dex", + "Ġ voir", + "Ġv oir", + "Ġvo ir", + "Ġvoi r", + "_ locations", + "_l ocations", + "_location s", + "_loc ations", + "++ ){", + "++) {", + "ĠLouis ville", + "Ġgr atitude", + "Ġgrat itude", + ".Mock ito", + "ĠP owers", + "ĠPower s", + "ĠPo wers", + "ĠPow ers", + "i eurs", + "ie urs", + "ieu rs", + "ieur s", + "Ġge ographic", + "Ġgeo graphic", + "r ale", + "ra le", + "ral e", + "Ġc ra", + "Ġcr a", + "ĠSp urs", + "ipher text", + "iph ertext", + "AC ION", + "- common", + "-com mon", + "-comm on", + "Ġvict ories", + "ĠF inals", + "ĠFin als", + "ĠFinal s", + ". shuffle", + ".sh uffle", + "- million", + "-m illion", + "_ PROC", + "_P ROC", + "_PRO C", + "_PR OC", + "as sume", + "ass ume", + "Ġ ils", + "Ġi ls", + "Ġil s", + "D BC", + "DB C", + "Boot Test", + "Ġl avor", + "Ġla vor", + "Ġlav or", + ". testing", + ".t esting", + ".test ing", + ". ast", + ".as t", + ".a st", + "\" ]/", + "\"] /", + "m oid", + "mo id", + "Ġ qualification", + "Ġqual ification", + "g esch", + "ge sch", + "ges ch", + "ĉ put", + "ĉp ut", + "Ġair ports", + "Ġairport s", + "J I", + "T eacher", + "Te acher", + "_ uniform", + "_un iform", + "Ġ nama", + "Ġn ama", + "Ġna ma", + "Ġnam a", + "ĠB ast", + "ĠBa st", + "ĠBas t", + "e rtype", + "er type", + "ert ype", + "erty pe", + "c apture", + "cap ture", + "capt ure", + "get All", + "ĠReyn olds", + "o oled", + "ool ed", + "oo led", + ". comments", + ".com ments", + ".comment s", + ".comm ents", + "Ġ chin", + "Ġc hin", + "Ġch in", + "Ġchi n", + ") .*", + "). *", + "Ġ или", + "Ġи ли", + "t gl", + "tg l", + "u dos", + "ud os", + "udo s", + "Ġd ÃŃas", + "ĠdÃŃa s", + "ĠdÃŃ as", + "c hai", + "ch ai", + "cha i", + ". program", + ".p rogram", + ".pro gram", + ".pr ogram", + "Ġ psz", + "Ġp sz", + "Ġps z", + "ĉ icon", + "ĉi con", + "p hil", + "ph il", + "phi l", + "ent ral", + "entr al", + "_W RAP", + "_WR AP", + "o vi", + "ov i", + "Ġnost alg", + "In finity", + "Inf inity", + "ĉ yield", + "ĉy ield", + "Ġvit amins", + "Ġvitamin s", + "Ġvita mins", + "Ġvitam ins", + "Qu aternion", + "S ink", + "Si nk", + "Sin k", + "_ goods", + "_g oods", + "_go ods", + "_good s", + "Ġ ........", + "Ġ. .......", + "Ġ... .....", + "Ġ.. ......", + "Ġ.... ....", + "Ġ..... ...", + "Ġ...... ..", + "ĠW ings", + "ĠWin gs", + "ĠWing s", + "ur idad", + "uri dad", + "- story", + "-st ory", + "\" ])ĊĊ", + "\"] )ĊĊ", + "\"]) ĊĊ", + "\"])Ċ Ċ", + "idel ity", + "Type Def", + "G tk", + "Ġ íĮ", + "Ġí Į", + "_ Main", + "_M ain", + "Ġ chez", + "Ġch ez", + "Ġche z", + "ĠR aven", + "ĠRa ven", + "ĠRav en", + "Ġpay roll", + "Ġfreel ance", + "L LU", + "LL U", + "ĠM end", + "ĠMe nd", + "ĠMen d", + "e day", + "ed ay", + "eda y", + "Api ModelProperty", + ".Form BorderStyle", + "Ġeconom ist", + "stan bul", + "Ġfr eight", + "Ġfre ight", + "Ġfrei ght", + "- Agent", + "-A gent", + "( meta", + "(m eta", + "(me ta", + "Ġsym metry", + "Ġ' ..", + "Ġ'. .", + ". Calendar", + ".C alendar", + "- aut", + "-a ut", + "-au t", + "g f", + "p ent", + "pe nt", + "pen t", + "yc lopedia", + "Ġw ishing", + "Ġwish ing", + "Ċ ĊĊĊĊĊĊĊĊĊĊĊ", + "ĊĊ ĊĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊ ĊĊĊĊĊĊĊĊ", + "ĊĊĊ ĊĊĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊ ĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊ ĊĊĊĊ", + "ĊĊĊĊĊ ĊĊĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊĊĊ ĊĊ", + "ĊĊĊĊĊĊĊ ĊĊĊĊĊ", + "ĊĊĊĊĊĊĊĊĊ ĊĊĊ", + "ĊĊĊĊĊĊĊĊĊĊĊ Ċ", + "Ġgentle man", + "Ġ ê³", + "Ġê ³", + "= #", + "Ġlect ures", + "Ġlecture s", + "âĢľ In", + "âĢľI n", + "Ġ! _", + "Ġ hb", + "Ġh b", + "Ġ Vendor", + "ĠV endor", + "ĠVend or", + "Rec ently", + "Recent ly", + "_ notes", + "_n otes", + "_no tes", + "_not es", + "_note s", + "æıIJ 示", + "\" My", + "\"M y", + "Headers Height", + "_ SO", + "_S O", + "Ġunw illing", + "Ġsuper hero", + "g io", + "gi o", + "p sy", + "ps y", + "Ġ Peer", + "ĠP eer", + "ĠPe er", + "ĠPee r", + "j avax", + "java x", + "jav ax", + "& apos", + "&a pos", + "ĠCr isis", + "ĠCri sis", + "ord inal", + "ordin al", + "Mem cpy", + "++++++++ ++++++++", + "- val", + "-v al", + "Ġwork book", + "- ap", + "-a p", + "= k", + "Ġmetal lic", + "Ġmetall ic", + "_ peer", + "_p eer", + "_pe er", + "By PrimaryKey", + "_ SD", + "_S D", + "u ator", + "ua tor", + "uat or", + "_SH ADER", + "_SHA DER", + ") Math", + ". Transform", + ".Trans form", + "Ġc ows", + "Ġco ws", + "Ġcow s", + "P hi", + "Ph i", + "ĠC lem", + "ĠCl em", + "ĠCle m", + "( _(\"", + "(_ (\"", + "ĠL ud", + "ĠLu d", + "- delay", + "-d elay", + "-de lay", + "-del ay", + "ĠSe curities", + "ĠSec urities", + "ĠOrth odox", + "Sym fony", + "( report", + "(re port", + "(repo rt", + "(rep ort", + "Ġent ertain", + "Ġenter tain", + "Ġentert ain", + "E PS", + "EP S", + "iz oph", + "izo ph", + "ex ual", + "I RD", + "IR D", + "ä» İ", + "Ġl ith", + "Ġli th", + "Ġlit h", + "Ġ sanitize", + "Ġs anitize", + "Ġsan itize", + "Ġsanit ize", + "Ġfem inine", + "Ġfemin ine", + "IS BN", + ". authentication", + ".auth entication", + "_ pipeline", + "_p ipeline", + "_pipe line", + "/ constants", + "/con stants", + "Ġ CONF", + "ĠCON F", + "ĠCO NF", + "Ġlu cr", + "Ġluc r", + "r icia", + "ri cia", + "ric ia", + ".t tf", + ".tt f", + ". setContent", + ".set Content", + "Ġ stan", + "Ġs tan", + "Ġst an", + "Ġsta n", + "or ean", + "ore an", + "orea n", + "ĠL loyd", + ".raw Value", + "Ġ gor", + "Ġg or", + "Ġgo r", + "ĠBr owns", + "ĠBrown s", + "ĠBrow ns", + "Re gression", + "Reg ression", + "Ġl owering", + "Ġlow ering", + "Ġlower ing", + "na issance", + "Ġbl ows", + "Ġblow s", + "Ġblo ws", + "Ġam azed", + "Ġama zed", + "Ġun related", + "Ġunre lated", + "Re views", + "Review s", + "Ġ ruby", + "Ġr uby", + "Ġrub y", + "Ġru by", + "Ġ Modifier", + "ĠMod ifier", + "Ġg iants", + "Ġgi ants", + "Ġgiant s", + "Ġgia nts", + "Ġgian ts", + ". thread", + ".t hread", + ".th read", + "Ġcon tainment", + "Ġcont ainment", + "Ġcontain ment", + "ĠStart Coroutine", + "u mat", + "um at", + "uma t", + "o release", + "or elease", + "ore lease", + "ĠR andy", + "ĠRand y", + "ĠRan dy", + "@ endif", + "@end if", + "D igest", + "Di gest", + "Dig est", + "Ġsub urban", + "Ġsubur ban", + "Ġsuburb an", + "= \");Ċ", + "=\" );Ċ", + "Ġ annonce", + "Ġan nonce", + "Ġann once", + "Ġanno nce", + "Ġannon ce", + ". variable", + ".var iable", + "\\ Foundation", + "\\F oundation", + "Ġ acre", + "Ġa cre", + "Ġac re", + "V an", + "Va n", + "Ġt uples", + "Ġtu ples", + "Ġtuple s", + "Ġtup les", + "d ns", + "dn s", + "Ġ Standing", + "ĠSt anding", + "ĠStan ding", + "ĠStand ing", + "_ large", + "_l arge", + "Ġ boxing", + "Ġbo xing", + "Ġbox ing", + "Support ActionBar", + "ĠFort une", + "ĠR um", + "ĠRu m", + "_ multiple", + "_m ultiple", + "_multi ple", + "_mult iple", + "_multip le", + "arch ical", + "Ġ fwrite", + "Ġf write", + "Ġfw rite", + "_ quote", + "_qu ote", + "Ġfoo lish", + "Ġfool ish", + "Ġcom prising", + "Ġcomp rising", + "Ġcompr ising", + "Ġ оп", + "Ġо п", + "- selected", + "-se lected", + "-select ed", + "v f", + "m aid", + "ma id", + "mai d", + "N ama", + "Na ma", + "Nam a", + "( datetime", + "(d atetime", + "(date time", + "(dat etime", + "Ġindirect ly", + "g art", + "ga rt", + "gar t", + "fix tures", + "fixture s", + "c hos", + "ch os", + "cho s", + "ĠH alo", + "ĠHa lo", + "ĠHal o", + "Ġre curring", + "Ġrec urring", + "Ġrecur ring", + "- news", + "-n ews", + "-new s", + "-ne ws", + "v il", + "vi l", + "ĠNurs ing", + "ĠNur sing", + "- produ", + "-p rodu", + "-pro du", + "-pr odu", + "Ġ HQ", + "ĠH Q", + "\\Http Foundation", + "en ci", + "enc i", + "a uen", + "au en", + "Ġ vy", + "Ġv y", + "ocr acy", + "Ġde legation", + "Ġdeleg ation", + "Ġas phalt", + "Ġasp halt", + "Ġset Selected", + "k ok", + "ko k", + "/ rest", + "/r est", + "/re st", + "/res t", + "m etics", + "me tics", + "met ics", + "metic s", + "Ġ NSDate", + "ĠNS Date", + "Ġtravel led", + "Ġtrav elled", + "Ġrec ib", + "Ġ mime", + "Ġm ime", + "Ġmi me", + "Ġmim e", + "CL IENT", + "CLI ENT", + "Ġ GU", + "ĠG U", + "Ġ HANDLE", + "ĠH ANDLE", + "ĠHAND LE", + "/ Q", + "[ z", + "Ġboth ered", + "Ġbother ed", + "ĠBB Q", + "ç as", + "ça s", + "_ examples", + "_ex amples", + "_example s", + "_exam ples", + "_ FIN", + "_F IN", + "Ġwhite Color", + "Ġastr onom", + "Ġastro nom", + "- dir", + "-d ir", + "-di r", + "Ġsovere ign", + "Ġb reeze", + "Ġbree ze", + "Ġ inning", + "Ġin ning", + "Ġinn ing", + "ĠEd monton", + "g li", + "gl i", + ".blog spot", + "j sx", + "js x", + "Ġver sa", + "Ġve rsa", + "Ġvers a", + "ĠMoh ammed", + ". Job", + ".J ob", + "-t oggler", + "-toggle r", + "Ġп олÑĮзоваÑĤ", + "ar don", + "ard on", + "ardo n", + "Ġnew born", + "Ġn aval", + "Ġna val", + "Ġnav al", + "not eq", + "note q", + "Ġt umblr", + "Ġtum blr", + "Ġh entai", + "ĠTyp ically", + "ĠTypical ly", + "Ġl oot", + "Ġlo ot", + ". Sprite", + ".S prite", + ".Sp rite", + "F light", + "Fl ight", + "Ġw avelength", + "Ġwave length", + "- sk", + "-s k", + "ĠE lle", + "ĠEl le", + "ĠEll e", + "_ exports", + "_ex ports", + "_exp orts", + "_export s", + "Ġ Ñı", + "ĠÑ ı", + "Ġ IH", + "ĠI H", + "izoph ren", + "Ġ íģ", + "Ġí ģ", + "_ primary", + "_pr imary", + "_pri mary", + "_prim ary", + "Ġm ois", + "Ġmo is", + "Ġmoi s", + "Ġ BN", + "ĠB N", + "Ġsystem ic", + "Ġsyst emic", + "Ġdifer entes", + "Ġdiferente s", + "IN CT", + "INC T", + "Ġ' 'ĊĊ", + "Ġ'' ĊĊ", + "Ġ''Ċ Ċ", + "$ q", + "Widget Item", + "c lide", + "cl ide", + "cli de", + "clid e", + "$ file", + "$f ile", + "L emma", + "Le mma", + "/ table", + "/t able", + "/tab le", + "a grid", + "ag rid", + "agr id", + "ĠMongo DB", + "i nte", + "in te", + "int e", + "Ġapp rent", + "ÂŃ ing", + "ÂŃi ng", + ". Db", + ".D b", + "Ġ ÃĤ", + "Ġà Ĥ", + "h ammer", + "ham mer", + "=' ';Ċ", + "='' ;Ċ", + "Ġbr okers", + "Ġbro kers", + "Ġbroke rs", + "Ġbroker s", + "i tlement", + "it lement", + "itle ment", + "semb lies", + "sembl ies", + "E le", + "El e", + "{ x", + "Ġ lastname", + "Ġlast name", + "< -", + "Ġ flatten", + "Ġfl atten", + "Ġflat ten", + "Ġflatt en", + "_ band", + "_b and", + ". Root", + ".R oot", + ".read FileSync", + ".readFile Sync", + "= =====", + "== ====", + "==== ==", + "=== ===", + "===== =", + ". rx", + ".r x", + "? čĊ", + "Ġmetaph or", + "T i", + "c onte", + "con te", + "cont e", + "co nte", + "Ġ debit", + "Ġde bit", + "Ġdeb it", + "Ġcon tempt", + "Ġcont empt", + "Cpp Type", + "æĶ ¯", + "Form Field", + "r atio", + "rat io", + "os opher", + "osoph er", + "oso pher", + "Ġim plant", + "Ġimp lant", + "Ġimpl ant", + "P URE", + "PU RE", + "PUR E", + "Ġ alta", + "Ġal ta", + "Ġalt a", + "_ management", + "_man agement", + "_manage ment", + "Ġre fine", + "Ġref ine", + "Ġrefin e", + "Ġ CheckBox", + "ĠCheck Box", + "ĠCh arl", + "ĠChar l", + "ĠCha rl", + "- version", + "-v ersion", + "-vers ion", + "cond itional", + "condition al", + "ven ues", + "venue s", + "Ġrifle s", + "Ġrif les", + "Ġoff spring", + "Ġoffs pring", + "Ġm illing", + "Ġmill ing", + "Ġmil ling", + "Ġmilli ng", + "Ġsharp ly", + "Ġshar ply", + "Ġunder water", + "( origin", + "(orig in", + "(or igin", + "_ Control", + "_C ontrol", + "Ġ .$", + "Ġ. $", + "Pl ugins", + "Plugin s", + "Plug ins", + "Ġd rying", + "Ġdr ying", + "Ġdry ing", + "Ġillustr ates", + "Ġillustrate s", + "Ġillust rates", + "- u", + "Ġveget arian", + "n pc", + "np c", + "He art", + "; ',Ċ", + ";' ,Ċ", + ";', Ċ", + "com ma", + "co mma", + "comm a", + "t eenth", + "te enth", + "tee nth", + "teen th", + "a san", + "as an", + "asa n", + "/ spec", + "/s pec", + "/sp ec", + "_ moves", + "_m oves", + "_move s", + "_mov es", + "_mo ves", + "- margin", + "-m argin", + "-mar gin", + "Ġ ingen", + "Ġin gen", + "Ġi ngen", + "Ġing en", + "Âł ³³", + "³³ Âł", + "Ġpro jet", + "Ġproj et", + "Ġproje t", + "Ġo tra", + "Ġot ra", + "Ġ bras", + "Ġb ras", + "Ġbr as", + "Ġbra s", + ". utc", + ".u tc", + ".ut c", + "Ġsl ept", + "Ġsle pt", + "= sub", + "=s ub", + "ab ilit", + "abil it", + "abi lit", + "p oster", + "pos ter", + "post er", + "po ster", + "Ġ sdk", + "Ġs dk", + "Ġsd k", + "ounc ill", + "ouncil l", + "Ġ wd", + "Ġw d", + "Pre paredStatement", + "ĠD rum", + "ĠDr um", + "( attribute", + "(at tribute", + "Ġ Ethernet", + "ĠEth ernet", + "ĠEther net", + "ĉ DB", + "ĉD B", + "Cal ifornia", + "c ube", + "cu be", + "[ I", + ". Created", + ".C reated", + ".Create d", + "Ġ HM", + "ĠH M", + "Ġtr acing", + "Ġtra cing", + "Forms Module", + "- you", + "-y ou", + ". currency", + ".c urrency", + ".curr ency", + "fe eding", + "feed ing", + "fee ding", + "Ġ tbody", + "Ġt body", + "Ġtb ody", + "L i", + "a ccion", + "ac cion", + "acc ion", + "acci on", + "n as", + "na s", + "Ġtr ouver", + "Ġtrou ver", + "Ġtrouve r", + "N ONE", + "NO NE", + "NON E", + "\" },čĊ", + "\"} ,čĊ", + "\"}, čĊ", + "Ġ ftp", + "Ġf tp", + "Ġft p", + "With Identifier", + "p olate", + "po late", + "pol ate", + "File Info", + "Ġpurs ued", + "Ġpursue d", + "ĠĠĠĠ čĊĠĠĠĠčĊ", + "ĠĠĠĠčĊ ĠĠĠĠčĊ", + "DE SCRIPTION", + "DESC RIPTION", + "} */Ċ", + "}* /Ċ", + "From Nib", + "Ġdec orative", + "Ġdecor ative", + "_ SSL", + "_S SL", + "_SS L", + "( chat", + "(c hat", + "(ch at", + "T LS", + "TL S", + "Ġsur prises", + "Ġsurpr ises", + "Ġsurprise s", + "al culate", + "alc ulate", + "Ġ Splash", + "ĠS plash", + "ĠSp lash", + "ĠSpl ash", + "( Configuration", + "(Config uration", + "Ġ SEM", + "ĠS EM", + "ĠSE M", + "im son", + "ims on", + "/ library", + "/lib rary", + "/l ibrary", + "< Double", + "", + "Ġ} }>", + "Ġ}} >", + "G ED", + "GE D", + "f aq", + "fa q", + "Ġoption ally", + "Ġoptional ly", + "_ Dis", + "_D is", + "Ġ Successful", + "ĠSuccess ful", + "ĠC ensus", + "Ġinc arcer", + "_ CARD", + "_C ARD", + "_CA RD", + "_CAR D", + "Ġav iation", + "Ġavi ation", + "ĠG ym", + "ĠGy m", + "Author ity", + ". Bean", + ".B ean", + ".Be an", + "sh ader", + "sha der", + "shade r", + "Not Exist", + "_ TextChanged", + "_Text Changed", + "Ġ STOP", + "ĠS TOP", + "ĠST OP", + "( team", + "(t eam", + "(te am", + "\" H", + "w g", + "Ġgr inder", + "Ġgri nder", + "Ġgrind er", + "Ġgrin der", + "Ġ stripe", + "Ġst ripe", + "Ġstr ipe", + "Ġstri pe", + "Ġstrip e", + "Ġp reservation", + "Ġpres ervation", + "Cl aim", + "Cla im", + "aver sal", + "avers al", + "w arehouse", + "ware house", + "target s", + "tar gets", + "T rust", + "Tr ust", + "Ġal lev", + "Ġall ev", + "Ġalle v", + ", www", + ",w ww", + "ou sse", + "ous se", + "_ chan", + "_c han", + "_ch an", + "_ Size", + "_S ize", + "s ystems", + "sys tems", + "system s", + "Ġob jection", + "Ġobject ion", + "Ġobj ection", + "ĠK ane", + "ĠKa ne", + "ĠKan e", + "Ġcor ros", + "Ġcorr os", + "Ġcorro s", + "Ġ DSL", + "ĠD SL", + "ĠDS L", + "Ġ ua", + "Ġu a", + "Ġ MH", + "ĠM H", + "ĠStr ategic", + "ĠStrateg ic", + "_ tcp", + "_t cp", + "_tc p", + "Ġ ê°Ĵ", + "Ġê° Ĵ", + "Ġborrow ed", + "Ġborr owed", + "ĠA ch", + "ĠAc h", + "ĉ command", + "ĉcom mand", + "Ġ gps", + "Ġg ps", + "Ġgp s", + "le ston", + "les ton", + "lest on", + "ich ever", + "iche ver", + "Ġ UA", + "ĠU A", + "Ġassault ed", + "Ġspecial izes", + "Ġspecialize s", + "ĉ search", + "ĉs earch", + "ĉse arch", + "H otel", + "Hot el", + "Ho tel", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠčĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠčĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠčĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ čĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠčĊ", + "Ġ Pitch", + "ĠP itch", + "ĠPit ch", + "Ġ Ùģ", + "ĠÙ ģ", + "READ Y", + "REA DY", + "Ġpar ental", + "Ġparent al", + "Ġparen tal", + "Ġg éné", + "Ġgé né", + "Ġgén é", + "Ġdonn ées", + "Ġde tain", + "Ġdet ain", + "T ARGET", + "Ġprotagon ist", + "Ġclear Interval", + "Ġ IconButton", + "ĠIcon Button", + "ĠGet All", + "Type Info", + "E H", + "âĢľ They", + "âĢľThe y", + "Ġ{ [", + "Ġg ag", + "Ġga g", + "Ġ Ú©", + "Ġ Dropdown", + "ĠD ropdown", + "ĠDrop down", + ". free", + ".f ree", + ".fr ee", + ".fre e", + "g one", + "go ne", + "gon e", + "i mens", + "im ens", + "ime ns", + "imen s", + "Ġin stal", + "Ġins tal", + "Ġinst al", + "ĉ curl", + "ĉc url", + "ĉcur l", + "_ CAN", + "_C AN", + "_CA N", + "Ġ Bone", + "ĠB one", + "ĠBo ne", + "ĠBon e", + "ï¼ Ķ", + "on yms", + "ony ms", + "onym s", + "- government", + "-g overnment", + ".binding Navigator", + "Ġ Dans", + "ĠD ans", + "ĠDan s", + "ĠDa ns", + "ĠMc L", + "( en", + "(e n", + "> (_", + ">( _", + "ÐĴ Ñĭ", + ".* ;čĊ", + "= j", + "- cor", + "-c or", + "-co r", + "S on", + "So n", + ".ToolStrip Item", + "- around", + "-a round", + "-ar ound", + "_ XML", + "_X ML", + "end Date", + "Ġ slack", + "Ġs lack", + "Ġsl ack", + "Ġsla ck", + "Ġrot ated", + "Ġrotate d", + "Ġno qa", + "Ġc ottage", + "Ġcott age", + "Ġencontr ar", + "_ skill", + "_s kill", + "_sk ill", + "hou ette", + "! čĊ", + ". weather", + ".we ather", + "Ġemphas ized", + "Ġemphasize d", + "å® ¶", + "ĠÑģ пиÑģ", + "ĠÑģп иÑģ", + "Ġ Compiler", + "ĠC ompiler", + "ĠCom piler", + "ĠComp iler", + "ĠCompile r", + "( android", + "(and roid", + "Ġ âĢº", + "ĠâĢ º", + ". turn", + ".t urn", + "Ġsup pression", + "Ġsuppress ion", + "Ġsupp ression", + "_ calls", + "_c alls", + "_call s", + "_cal ls", + "Ġ *@", + "Ġ* @", + "( strlen", + "(str len", + "(st rlen", + ". hex", + ".h ex", + ".he x", + "ĠB ills", + "ĠBill s", + "ĠBil ls", + "Ġ RSA", + "ĠR SA", + "ĠRS A", + "Ï Ĥ", + "Ġ Escape", + "ĠE scape", + "ĠEs cape", + "ĠEsc ape", + "ement ia", + "Ġ frontend", + "Ġfront end", + "Ġp int", + "Ġpi nt", + "Ġpin t", + "_ exc", + "_e xc", + "_ex c", + "z zo", + "zz o", + "[ ],Ċ", + "[] ,Ċ", + "[], Ċ", + "Ġ\"' ,'\"", + "Ġ\"', '\"", + "Ġ\"',' \"", + ". Environment", + ".En vironment", + "Ġafore mentioned", + "Ġend ure", + "prot otype", + "proto type", + "ther apy", + "the rapy", + "s si", + "ss i", + "D eg", + "De g", + "_ plugins", + "_pl ugins", + "_plugin s", + ". userInfo", + ".user Info", + "Pr inter", + "Print er", + "Ġ PROGRAM", + "ĠPRO GRAM", + "Ġru ins", + "Ġruin s", + "Ġemp irical", + "Ġempir ical", + "Ġ crawl", + "Ġc rawl", + "Ġcr awl", + "Ġcraw l", + "Ġcra wl", + "ĠBo iler", + "- comment", + "-com ment", + "-comm ent", + ". subplot", + ".sub plot", + "_ et", + "_e t", + "Ġ' .',", + "Ġ'. ',", + "Ġ'.' ,", + "min or", + "mi nor", + "mino r", + "ĠCustom s", + "ĠCust oms", + "Ġ yaw", + "Ġy aw", + "Ġya w", + "under line", + "Ġ Como", + "ĠC omo", + "ĠCom o", + "ĠCo mo", + "( ('", + "(( '", + "( mean", + "(m ean", + "(me an", + "Ġch aque", + "Ġcha que", + "Ġ Blocks", + "ĠB locks", + "ĠBl ocks", + "ĠBlock s", + "ĠBlo cks", + "ĠBloc ks", + ". rad", + ".r ad", + ".ra d", + "ilib rium", + "Ġ webdriver", + "Ġweb driver", + "Ġmel hor", + "d ana", + "da na", + "dan a", + "ĠAb use", + "ĠAbu se", + "ĠSouth west", + "Ġ Paren", + "ĠP aren", + "ĠPar en", + "ĠPa ren", + "ĠPare n", + "PERT IES", + "ĉ IL", + "ĉI L", + "Ġs cream", + "Ġsc ream", + "Ġscre am", + "Ġscr eam", + "v u", + "Ġin comes", + "Ġinc omes", + "Ġincome s", + "Ġincom es", + "Ġ nim", + "Ġn im", + "Ġni m", + "Ġ lace", + "Ġl ace", + "Ġla ce", + "Ġlac e", + "Ġcompens ate", + "Re verse", + "Rev erse", + "D at", + "Da t", + "_ attack", + "_att ack", + "Ġn our", + "Ġno ur", + "Ġnou r", + "a chen", + "ac hen", + "ach en", + "ache n", + "c ek", + "ce k", + "< Func", + " \"+", + ">\" +", + "Ġ tokenizer", + "Ġtoken izer", + "Ġtokenize r", + "Ġsovere ignty", + "Ġsovereign ty", + "ĠP ence", + "ĠPe nce", + "ĠPen ce", + "( )\");Ċ", + "() \");Ċ", + "()\" );Ċ", + "Ġpesso as", + "Ġpessoa s", + ". Ge", + ".G e", + "Ġ Included", + "ĠIn cluded", + "ĠInclude d", + "Ġ pagina", + "Ġp agina", + "Ġpag ina", + "Ġex posing", + "Ġexp osing", + "Ġexpos ing", + "Ġexpo sing", + "е ÑĪ", + "_ SCRIPT", + "_SC RIPT", + "/ $',", + "/$ ',", + "Th umbnail", + "× Ķ", + "webElement X", + "webElementX paths", + "press ure", + "pres sure", + "ĠC urry", + "ĠCur ry", + "_ CP", + "_C P", + "OL UTION", + "I LES", + "IL ES", + "ILE S", + "prot ect", + "o ola", + "ool a", + "oo la", + "Work space", + "Works pace", + "{ };Ċ", + "{} ;Ċ", + "Ġ UNS", + "ĠU NS", + "ĠUN S", + "Ġsymp athy", + "Ġsympath y", + "r oker", + "ro ker", + "roke r", + "rok er", + "Ġre model", + "Ġr emodel", + "Ġrem odel", + "ĉ cell", + "ĉc ell", + "Ġa top", + "Ġat op", + ". FullName", + ".Full Name", + "Ġf aut", + "Ġfa ut", + "ĠE asily", + "_ dynamic", + "_d ynamic", + "_dyn amic", + "Ġfr amed", + "Ġframe d", + "Ġfra med", + "Ġfram ed", + "Ġm otive", + "Ġmot ive", + "Ġmotiv e", + "è· ¯", + "s am", + "sa m", + "Ġ marca", + "Ġmar ca", + "Ġmarc a", + "ĠText EditingController", + "Ġd estructor", + "Ġde structor", + "Ġdestruct or", + "c ream", + "cre am", + "cr eam", + "Ġr ude", + "Ġru de", + "Ġrud e", + "Ġ Bold", + "ĠB old", + "ĠBo ld", + "ĠBol d", + "ĠInd igenous", + "Ġ gens", + "Ġg ens", + "Ġge ns", + "Ġgen s", + "Ġrel acion", + "( system", + "(s ystem", + "(sys tem", + "Ġ UIFont", + "ĠUI Font", + "ĠUIF ont", + "_ charge", + "_ch arge", + "_char ge", + "U STER", + "US TER", + "UST ER", + "E V", + ". Namespace", + ".N amespace", + ".Name space", + ".Names pace", + "Ġmer ger", + "Ġmerge r", + "Ġmerg er", + "Ġ calloc", + "Ġc alloc", + "Ġcall oc", + "Ġcal loc", + "g ang", + "ga ng", + "gan g", + "Bad Request", + "Ġs per", + "Ġsp er", + "Ġspe r", + "- design", + "-d esign", + "-de sign", + "-des ign", + "Ġ âĩ", + "Ġâ ĩ", + "C han", + "Ch an", + "Cha n", + "Ġorg anism", + "Ġorgan ism", + "Ġorganis m", + ", )", + "= id", + "=i d", + "_ plane", + "_p lane", + "_pl ane", + "_plan e", + "Ġ Cases", + "ĠC ases", + "ĠCas es", + "ĠCase s", + "ĠCa ses", + "el fast", + "elf ast", + "ĠLegisl ature", + "ĠF aker", + "ĠFa ker", + "ĠFake r", + "ĠFak er", + "Ġinv oking", + "Ġinvo king", + "- utils", + "-util s", + "( ).'", + "() .'", + "(). '", + ". face", + ".f ace", + ".fac e", + ".fa ce", + "Ġguard ian", + "my Modal", + "Ġ clipboard", + "Ġclip board", + "ĠA TM", + "ĠAT M", + "Ġpe as", + "Ġpea s", + "ĠS ylv", + "ĠSy lv", + ". calc", + ".c alc", + ".ca lc", + ".cal c", + "Ġ Contacts", + "ĠCont acts", + "ĠContact s", + "int Value", + "Ġmod ifying", + "Ġmodify ing", + "ĠB arb", + "ĠBar b", + "ĠBa rb", + ". loss", + ".l oss", + ".lo ss", + "_ percentage", + "_per centage", + "_percent age", + "As ked", + "Ask ed", + "( lst", + "(l st", + "(ls t", + "ateg orical", + "ategor ical", + "ategori cal", + "atego rical", + "- files", + "-f iles", + "-file s", + "-fi les", + "ĠRom ania", + "ĠRo mania", + "ĠRoman ia", + "ĠRoma nia", + ". Ac", + ".A c", + "Ġ hai", + "Ġh ai", + "Ġha i", + "Ġ Flying", + "ĠF lying", + "ĠFl ying", + "ĠFly ing", + "Ġ ż", + "ĠÅ ¼", + "j p", + "ĠTr ainer", + "ĠTra iner", + "ĠTrain er", + ". arc", + ".a rc", + ".ar c", + "_ deg", + "_d eg", + "_de g", + "Ġtrace back", + "Or Fail", + "F LOW", + "FL OW", + ". old", + ".o ld", + ".ol d", + "o ya", + "oy a", + "g mt", + "gm t", + "is empty", + "Ġvacc ination", + "Ġ obsolete", + "Ġob solete", + "recogn ized", + "Ġru ined", + "Ġruin ed", + "ĠR ein", + "ĠRe in", + "ĠRei n", + "Ġ Tracking", + "ĠTr acking", + "ĠTrack ing", + "x fb", + "xf b", + "ا ÛĮ", + "Ġv ære", + "Ġvæ re", + "Ġbr yster", + "Ġ ITS", + "ĠI TS", + "ĠIT S", + "Ġdes tiny", + "Ġdest iny", + "Ġdestin y", + "Ġs wear", + "Ġsw ear", + "Ġswe ar", + "Ġre des", + "Ġr edes", + "Ġred es", + "Ġrede s", + "Ġ clf", + "Ġc lf", + "Ġcl f", + "Ġfl ipped", + "Ġflip ped", + "ĉ head", + "ĉh ead", + "B luetooth", + "Bl uetooth", + "Ġ Overrides", + "ĠOver rides", + "ĠOverride s", + ": Boolean", + "_ =", + "_ lr", + "_l r", + "s pawn", + "sp awn", + "spa wn", + ": index", + "VAL UES", + "VALUE S", + "is key", + "isk ey", + "iske y", + "? \");Ċ", + "?\" );Ċ", + ".syn thetic", + "Ġ Checking", + "ĠCheck ing", + "struct ures", + "structure s", + "i ping", + "ip ing", + "ipi ng", + "Ġvoc als", + "Ġvocal s", + "- Up", + "-U p", + "ĠManufact urers", + "ĠManufacturer s", + "ĠMar riage", + "ĠMarr iage", + "代 çłģ", + "Ġgar ner", + "Ġgarn er", + "_ Client", + "_C lient", + "_Cl ient", + "par allel", + "paralle l", + "RI END", + "Ġvine gar", + "se gue", + "seg ue", + "J B", + "Ġcont acting", + "Ġcontact ing", + "ĠCar roll", + "ĠCarr oll", + "Ġout reach", + "Ġoutr each", + "t ensor", + "_ variant", + "_v ariant", + "_var iant", + "Ġt heat", + "Ġth eat", + "Ġthe at", + "l icable", + "lic able", + "lica ble", + "{ |", + "t iny", + "ti ny", + "tin y", + "_ letter", + "_l etter", + "Ġp encil", + "Ġpen cil", + "Ġpenc il", + "HeadersHeight SizeMode", + "il tro", + "ilt ro", + "iltr o", + ".auto configure", + ". drag", + ".d rag", + ".dr ag", + ". useState", + ".use State", + "Ġ BMI", + "ĠB MI", + "ĠBM I", + "h int", + "hi nt", + "hin t", + "Com pile", + "Comp ile", + "* \\", + "en ary", + "ena ry", + "Ġ lvl", + "Ġl vl", + "Ġlv l", + ". Cache", + ".C ache", + "+ =\"", + "+= \"", + "_ tv", + "_t v", + "ruit ment", + "Ġf read", + "Ġfr ead", + "Ġfre ad", + "Art icles", + "Article s", + "f ila", + "fi la", + "fil a", + "Ġpack aged", + "Ġpackage d", + "âĺ Ĩ", + "AT HER", + "ATH ER", + "ĠPl anned", + "ĠPlan ned", + "s cheme", + "sch eme", + "Ġdi ary", + "Ġdia ry", + "Ġoff enses", + "Ġoffense s", + "Ġoffen ses", + "/ F", + "Ġ Stick", + "ĠS tick", + "ĠSt ick", + "Ġc erc", + "Ġce rc", + "Ġcer c", + "ĠS lee", + "ĠSl ee", + "ĠSle e", + "ĉ ĉĠĠĠĠĠĠĠĠ", + "ĉĉ ĠĠĠĠĠĠĠĠ", + "ĉĉĠĠĠ ĠĠĠĠĠ", + "ĉĉĠ ĠĠĠĠĠĠĠ", + "ĉĉĠĠ ĠĠĠĠĠĠ", + "ĉĉĠĠĠĠĠĠĠ Ġ", + "ĉĉĠĠĠĠ ĠĠĠĠ", + "ĉĉĠĠĠĠĠ ĠĠĠ", + "ĉĉĠĠĠĠĠĠ ĠĠ", + "< Image", + "", + ";' >", + "ĉ col", + "ĉc ol", + "V G", + "_ boolean", + "_bool ean", + "_bo olean", + "re cent", + "rec ent", + "rece nt", + "Ġ *)ĊĊ", + "Ġ* )ĊĊ", + "Ġ*) ĊĊ", + "Ġ*)Ċ Ċ", + "ĠRain bow", + "om men", + "omm en", + "Ġl ur", + "Ġlu r", + "Ġop pression", + "Ġopp ression", + "Ġoppress ion", + "(\" ,\");Ċ", + "(\", \");Ċ", + "(\",\" );Ċ", + "ĠFac ility", + "DEF INED", + "DEFINE D", + "Ġn eon", + "Ġne on", + "Ġneo n", + "Ġoff ender", + "Ġoffend er", + "Ġoffen der", + "A FP", + "AF P", + "Ġ Cleaning", + "ĠC leaning", + "ĠClean ing", + "ĠCle aning", + "[ ]):", + "[] ):", + "[]) :", + "Ġund ocumented", + ". Repositories", + ".Re positories", + "ĠG uitar", + "ĠGu itar", + "ĠGui tar", + "аÑģÑģ ив", + "S kills", + "Sk ills", + "Skill s", + "Ġtest imon", + "Ġtestim on", + "rypt ography", + "ĠAm ber", + "ĠAmb er", + "ĠSt alin", + "ĠSta lin", + "Ġl one", + "Ġlo ne", + "Ġlon e", + "Ġap enas", + "Ġape nas", + "Ġdi eses", + "Ġdie ses", + "Ġdies es", + "Ġdiese s", + "Ġ Arduino", + "ĠAr duino", + "è½ ¬", + "= =-", + "== -", + "_ Act", + "_A ct", + "Ġ coded", + "Ġc oded", + "Ġco ded", + "Ġcode d", + "Ġcod ed", + "âĸ ł", + "am burger", + "amb urger", + "amburg er", + "- links", + "-l inks", + "-link s", + "Ġar mour", + "Ġarm our", + ". High", + ".H igh", + "get Content", + "getC ontent", + "s tag", + "st ag", + "sta g", + "Ġ heck", + "Ġh eck", + "Ġhe ck", + "Ġ ìĹĨ", + "ĠìĹ Ĩ", + "ĠMc Connell", + "ĠCon cert", + "ĠConc ert", + "ĠConce rt", + "Ġ Alloc", + "ĠAl loc", + "ĠAll oc", + "ä re", + "är e", + ". replaceAll", + ".replace All", + "Ġpart itions", + "Ġpartition s", + "r ott", + "ro tt", + "rot t", + "ĠF le", + "ĠFl e", + "_ TREE", + "_T REE", + "_TR EE", + "reason able", + "Ġ Reporting", + "ĠRep orting", + "ĠReport ing", + "Ġbillion aire", + "s cores", + "sc ores", + "score s", + "m ins", + "min s", + "mi ns", + "- eye", + "-e ye", + "M ORE", + "MO RE", + "ab ort", + "abor t", + "abo rt", + "ĠS WT", + "ĠSW T", + "Ġin verted", + "Ġinvert ed", + "Ġ Teachers", + "ĠTe achers", + "ĠTeacher s", + "ĠTea chers", + "ĠTeach ers", + "; n", + "Ġ astro", + "Ġa stro", + "Ġas tro", + "Ġast ro", + "Ġastr o", + "н ов", + "но в", + "а ниÑĨ", + "ан иÑĨ", + "ани ÑĨ", + "product o", + "c ountries", + "count ries", + "ĠO wen", + "ĠOw en", + "Ġcont amination", + "Ġcontamin ation", + "Ġconta mination", + "Ġv ibe", + "Ġvi be", + "Ġvib e", + "ĠE lli", + "ĠEl li", + "ĠEll i", + ". script", + ".s cript", + "ĠO live", + "ĠOl ive", + "ĠOliv e", + "D MA", + "DM A", + "v ier", + "vi er", + "vie r", + ": semicolon", + "- module", + "-m odule", + "-mod ule", + "g ressive", + "gress ive", + "a gu", + "ag u", + "_ players", + "_p layers", + "_pl ayers", + "_player s", + "_play ers", + "Ġresult ados", + "Ġresultado s", + "start ed", + "star ted", + "scroll Top", + "= ====", + "== ===", + "==== =", + "=== ==", + "Ġweigh ing", + "Ġ[ [[", + "Ġ[[ [", + "z ahl", + "za hl", + "( NS", + "(N S", + "Ġ Assertion", + "ĠAssert ion", + "le ague", + "lea gue", + ".set TextColor", + ".setText Color", + "ĉ Message", + "ĉM essage", + "Ġm oms", + "Ġmom s", + "Ġmo ms", + "_ AF", + "_A F", + ". wh", + ".w h", + "A LS", + "AL S", + "Ġaut re", + "Ġau tre", + "] ĊĊĊĊ", + "]Ċ ĊĊĊ", + "]ĊĊ ĊĊ", + "]ĊĊĊ Ċ", + ". opacity", + ".op acity", + "ĠBudd hist", + "ĠBuddh ist", + "Ġde af", + "ĠOrgan isation", + "( Global", + "(G lobal", + "en sch", + "ens ch", + "Ġhead ache", + "ĠA lien", + "ĠAl ien", + "ĠAli en", + "_ inode", + "_in ode", + "_i node", + "ĠSt ark", + "ĠStar k", + "ĠSta rk", + "Ġ æī", + "Ġæ ī", + "-l nd", + "-ln d", + "o ref", + "or ef", + "ore f", + "_ feat", + "_f eat", + "_fe at", + "Ġpedest rian", + "Ġnom inal", + "Ġnomin al", + "Ġball oon", + "Ġbal loon", + "Ġballo on", + "Ġ sprites", + "Ġs prites", + "Ġsp rites", + "Ġspr ites", + "Ġsprite s", + "Prototype Of", + "ĠA post", + "ĠAp ost", + "Ġ FEATURE", + "ĠF EATURE", + "ĠFE ATURE", + "O H", + "Ġre cess", + "Ġr ecess", + "Ġrec ess", + "Ġrece ss", + "ĠD onna", + "ĠDon na", + "con sumer", + "cons umer", + "consum er", + "consume r", + "$ GLOBALS", + "ĠG IF", + "ĠGI F", + "- frame", + "-f rame", + "-fr ame", + "In icio", + "Ini cio", + "Ġpass ages", + "Ġpassage s", + "Date String", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + ". byte", + ".b yte", + ".by te", + "B ug", + "Bu g", + "initial izer", + "initialize r", + "p kt", + "pk t", + "od ium", + "odi um", + "Ġ DER", + "ĠD ER", + "ĠDE R", + ". ops", + ".op s", + ".o ps", + "l eri", + "le ri", + "ler i", + "Ġgift ed", + "Ġgif ted", + "Ġ detach", + "Ġde tach", + "Ġdet ach", + "ter rain", + "terra in", + "terr ain", + "el ters", + "elt ers", + "elter s", + "ãģ ı", + ". loader", + ".l oader", + ".load er", + ".lo ader", + "ĠN GO", + "ĠNG O", + "str ncmp", + "K h", + "( fontSize", + "(font Size", + "r ocket", + "ro cket", + "rock et", + "roc ket", + "Ġpreced ent", + "ĠAur ora", + "Ġ Experiment", + "ĠEx periment", + "i sphere", + "is phere", + "isp here", + "En coded", + "Enc oded", + "Encode d", + "Ġ âĢĵĊĊ", + "ĠâĢĵ ĊĊ", + "ĠâĢĵĊ Ċ", + "Ġpy ramid", + "ĠAnn iversary", + "o fil", + "of il", + "ofi l", + "ë Ł", + "( plugin", + "(pl ugin", + "C oeff", + "Co eff", + "Ġco operate", + "Ġcooper ate", + "Ġcoop erate", + "Ġpredomin antly", + "Ġpredominant ly", + "I SM", + "IS M", + "Ph rase", + "_ DEFINE", + "_DE FINE", + "_DEF INE", + "_DEFIN E", + "F lip", + "Fl ip", + "AMIL Y", + "AMI LY", + "ĠMark ets", + "ĠMarket s", + "Ġ StreamReader", + "ĠStream Reader", + "Ġ Combine", + "ĠC ombine", + "ĠCom bine", + "ĠComb ine", + "Ġmanus cript", + "z za", + "zz a", + ", tp", + ",t p", + "Wh atever", + "What ever", + "IT ICAL", + "igh bour", + "ighb our", + "Data Provider", + ". Texture", + ".Text ure", + "priv acy", + ". SDK", + ".S DK", + "Ġre charge", + "Ġ cpp", + "Ġc pp", + "Ġcp p", + "Ġ CFG", + "ĠC FG", + "ĠCF G", + "( holder", + "(h older", + "( py", + "(p y", + "m ot", + "mo t", + "Ġsa voir", + "Ġsav oir", + "ĠR osa", + "ĠRo sa", + "ĠRos a", + "ĠP Cs", + "ĠPC s", + "Ġ íĻ", + "Ġí Ļ", + ".her oku", + ".hero ku", + "Ġf ren", + "Ġfr en", + "Ġfre n", + "ĠR iley", + "ĠRi ley", + "a gate", + "ag ate", + "aga te", + "Ġs ond", + "Ġso nd", + "Ġson d", + ". xlsx", + ".x lsx", + ".xls x", + "Ġh acked", + "Ġhack ed", + "Ġhac ked", + "st ad", + "sta d", + "G i", + "Ġs anity", + "Ġsan ity", + "Ġsanit y", + "ĠSql DataAdapter", + ".. .\",", + "... \",", + "...\" ,", + "ĠP ussy", + "Ġ ****************", + "Ġ** **************", + "Ġ**** ************", + "Ġ******** ********", + "Ġhass le", + "_P ARENT", + "_PAR ENT", + "ĠU AE", + "ĠUA E", + "Ġbegin ners", + "Ġbeginner s", + "( Client", + "(C lient", + "(Cl ient", + "Ġstat istically", + "Ġstatist ically", + "Ġstatistical ly", + "Ġstatistic ally", + ". hour", + ".h our", + "e delta", + "ed elta", + "Ġ traction", + "Ġt raction", + "Ġtr action", + "Ġtra ction", + "Ġtract ion", + "u elve", + "uel ve", + "a rat", + "ar at", + "ara t", + "Ġsa una", + "Ġsau na", + "IN VALID", + "INVAL ID", + "Ġindict ment", + "AL LE", + "ALL E", + "Ġd issent", + "Ġdis sent", + "Ġdiss ent", + "Ġdisse nt", + "Ġ Typography", + "ĠTyp ography", + "Ġintent ional", + "Ġintention al", + "s it", + "si t", + "ĠAn imals", + "ĠAnimal s", + "ĠAnim als", + "Ġcoun tryside", + "Ġcountry side", + "Ġ uart", + "Ġu art", + "Ġua rt", + "} \\\"", + "}\\ \"", + "Ġseam less", + "¾ 示", + "Ġ autos", + "Ġa utos", + "Ġaut os", + "Ġauto s", + "Ġau tos", + "Ġ\" '\";Ċ", + "Ġ\"' \";Ċ", + "Ġ\"'\" ;Ċ", + "F lush", + "Fl ush", + "AN NOT", + "ANN OT", + "Ġal gebra", + "Ġalg ebra", + "as soc", + "ass oc", + "asso c", + "ĠW aters", + "ĠWater s", + "ĠWat ers", + "ĠWa ters", + "Ġprepar ations", + "Ġpreparation s", + "r onym", + "ro nym", + "ron ym", + "[, ]", + "S ans", + "San s", + "Sa ns", + "Ġarm ies", + "i peg", + "ip eg", + "ipe g", + "Ġcre amy", + "Ġcream y", + "Ġcrea my", + ". art", + ".a rt", + ".ar t", + "e tre", + "et re", + "etr e", + "Ġ Animated", + "ĠAn imated", + "ĠAnim ated", + "Ġun pleasant", + "e mean", + "em ean", + "eme an", + "g reat", + "gr eat", + "gre at", + "i Äħ", + "Ġ Earlier", + "ĠEar lier", + "ĠEarl ier", + "Ġc hic", + "Ġch ic", + "Ġchi c", + "Ġpres erving", + "( exec", + "(e xec", + "(ex ec", + "ĠInvest igation", + "ĠInvestig ation", + "ĉ GPIO", + "ĉG PIO", + "Ġrig orous", + "Ġrigor ous", + "i jo", + "ij o", + "= num", + "=n um", + "Ġ toolStrip", + "Ġt oolStrip", + "Ġtool Strip", + ") set", + ")s et", + "+ \"&", + "+\" &", + "Ġ Acceler", + "ĠAcc eler", + "Ġdevelop mental", + "Ġdevelopment al", + "is posable", + "Ġflaw ed", + "Ġfla wed", + "r ene", + "re ne", + "ren e", + "Up dating", + "Ġwatch dog", + "Ġden ominator", + "Ġdenom inator", + "Ġdenomin ator", + "Ġsubur bs", + "Ġsuburb s", + "Ġ ...)", + "Ġ... )", + "Ġ.. .)", + "Ġconv ictions", + "Ġconviction s", + "Ġconvict ions", + "c losure", + "clo sure", + ". IP", + ".I P", + "Ġtrans lates", + "Ġtransl ates", + "Ġtranslate s", + ".s wt", + ".sw t", + ". Trace", + ".T race", + ".Tr ace", + "Ġmet tre", + ". isEnabled", + ".is Enabled", + "Ġ Effective", + "ĠE ffective", + "ĠEffect ive", + "ĠEff ective", + ". toInt", + ".to Int", + "Ġen chant", + "Ġench ant", + "Ġst unned", + "Ġstun ned", + "Ġ poi", + "Ġp oi", + "Ġpo i", + "/ code", + "/c ode", + "/co de", + "a dm", + "ad m", + ".data binding", + ".datab inding", + ".databind ing", + "Ġ Lorem", + "ĠL orem", + "ĠLo rem", + "ĠLore m", + "ĠLor em", + "________________________________ ________________________________", + "Ġ ledger", + "Ġled ger", + "Ġledge r", + "Ġc ara", + "Ġcar a", + "Ġca ra", + "ĠG ir", + "ĠGi r", + "Ġw aits", + "Ġwait s", + "Ġwa its", + "U no", + "Un o", + "Ġ cwd", + "Ġc wd", + "Ġcw d", + "è¾ ij", + "ĠT Result", + "Ġre jo", + "Ġrej o", + "Ġe mitted", + "Ġem itted", + "Ġemit ted", + "ĠWest minster", + "ä¸Ģ 个", + "n ek", + "ne k", + "_T is", + "Ġen act", + "ĉ with", + "ĉw ith", + "or gia", + "org ia", + "Ġj ue", + "Ġju e", + "Per form", + "S PATH", + "SP ATH", + "SPA TH", + ". topic", + ".t opic", + ".to pic", + ".top ic", + "ĠD aten", + "ĠDate n", + "ĠDa ten", + "ĠDat en", + "Ạ§", + "Ġsit io", + "Ġsiti o", + "_ MM", + "_M M", + "\" So", + "\"S o", + "b ial", + "bi al", + "bia l", + "Ġ scoped", + "Ġsc oped", + "Ġscope d", + "Ġsco ped", + "Ġscop ed", + "Re quires", + "Require s", + "Ġ TOTAL", + "ĠT OTAL", + "ĠCh ancellor", + "( contents", + "(content s", + "(cont ents", + "Ġste alth", + "Ġsteal th", + "dev ices", + "device s", + "- pass", + "-p ass", + "il ih", + "ili h", + "ĠMal colm", + "ĠDe pot", + "ĠDep ot", + "Ġcon figur", + "Ġconfig ur", + "a ussian", + "aus sian", + "auss ian", + "_ constraint", + "_con straint", + "в еÑĤ", + "ве ÑĤ", + "G RA", + "GR A", + "Ġ Rates", + "ĠR ates", + "ĠRa tes", + "ĠRate s", + "ĠRat es", + ".dataGridView TextBoxColumn", + "ĠN obel", + "ĠNo bel", + "ĠNob el", + "i tics", + "it ics", + "iti cs", + "itic s", + "Ġignor ant", + "Ġ Reporter", + "ĠRe porter", + "ĠReport er", + "ĠEb ola", + "Ġ Shock", + "ĠSh ock", + "ĠSho ck", + "_ relation", + "_re lation", + "_rel ation", + "ĠN inja", + "ĠNin ja", + ") c", + "Ġ ticker", + "Ġt icker", + "Ġti cker", + "Ġtick er", + "Ġtic ker", + ". isChecked", + ".is Checked", + "ĠSup pliers", + "ĠSupplier s", + "ĠR apid", + "ĠRa pid", + "ĠRap id", + "Level s", + "âĤ¬ âĦ¢", + "ĉ queue", + "ĉq ueue", + "Ġ chop", + "Ġc hop", + "Ġch op", + "Ġcho p", + "Ġ Unix", + "ĠUn ix", + "ĠUni x", + "re ject", + "rej ect", + "- calendar", + "-c alendar", + "-cal endar", + "( sort", + "(s ort", + "(so rt", + "è ne", + "èn e", + "erc icio", + "Ġh ect", + "Ġhe ct", + "CALL TYPE", + "r oupon", + "ro upon", + "rou pon", + "roup on", + "Ġrent als", + "Ġrental s", + "author s", + "auth ors", + "{ name", + "{n ame", + "ĠF IFO", + "ĠFI FO", + "Ġ lassen", + "Ġl assen", + "Ġlas sen", + "Ġ Nous", + "ĠN ous", + "ĠNo us", + "ĠNou s", + "Ġsn apped", + "Ġsnap ped", + "Ġsna pped", + "Ġf ertility", + "Ġfer tility", + "Ġfert ility", + "Ġfertil ity", + "\" log", + "cl icked", + "click ed", + "Ġplan ting", + "Ġplant ing", + "Ġ gb", + "Ġg b", + "/ output", + "/out put", + "PE AT", + "Ġ categoria", + "Ġc ategoria", + "Ġcategor ia", + "Ġ bach", + "Ġb ach", + "Ġba ch", + "Ġbac h", + "Prof essor", + "i nth", + "in th", + "int h", + "\" ]čĊ", + "\"] čĊ", + "Rec order", + "Record er", + "s erde", + "ser de", + "Ġ Transmission", + "ĠTrans mission", + "t rad", + "tr ad", + "tra d", + "Ġtur bo", + "Ġturb o", + "_ VERTEX", + "_VER TEX", + "\\ Event", + "\\E vent", + "il ver", + "Ġbod ily", + "Ġ Sources", + "ĠS ources", + "ĠSource s", + "ĠSour ces", + "Ġkill ings", + "Ġkilling s", + "Ġkil lings", + ".xr TableCell", + "Ġfol ded", + "Ġfold ed", + "/ legal", + "/l egal", + "u ner", + "un er", + "une r", + "ĠR ifle", + "ĠRif le", + "ĠM IDI", + "ĠMI DI", + "ĠMID I", + "_Selected IndexChanged", + ".Size Type", + "Ġ WebSocket", + "ĠWeb Socket", + "Ġse leccion", + "Ġsele ccion", + "S and", + "San d", + "Sa nd", + "ot ros", + "otr os", + "Ġen vision", + "Ġenv ision", + "Ġenvis ion", + "/ etc", + "/e tc", + "ĠMel issa", + "S pot", + "Sp ot", + "Spo t", + "н ое", + "но е", + "_ ARM", + "_A RM", + "_AR M", + "At tempt", + "Att empt", + "Ġ BI", + "ĠB I", + "ãģ Ķ", + "Ġ DU", + "ĠD U", + "Ġback lash", + "st ride", + "str ide", + "stri de", + "/ classes", + "/c lasses", + "/class es", + "/cl asses", + "Ġtext Color", + "_ staff", + "_st aff", + "_sta ff", + "ob lin", + "obl in", + "ag enta", + "agent a", + "agen ta", + ". collections", + ".c ollections", + ".col lections", + ".collection s", + ".collect ions", + ".coll ections", + "il lage", + "ill age", + "illa ge", + "' čĊčĊ", + "'čĊ čĊ", + "fl atten", + "flat ten", + "_ sales", + "_s ales", + "_sale s", + "_sal es", + "_sa les", + "_ MASTER", + "_M ASTER", + "_MA STER", + "T W", + "_ da", + "_d a", + "P itch", + "ph ies", + "phi es", + "Ġz ombies", + "Ġzombie s", + "Ġ VERY", + "ĠV ERY", + "ĠVER Y", + "ĠVE RY", + "ĠPh armacy", + "ĠPharm acy", + "ĠPharmac y", + "ĠPharma cy", + "Ġprogress Bar", + "Ġhas htag", + "Ġhash tag", + "S idebar", + "Side bar", + "@ stop", + "@s top", + "( pc", + "(p c", + "ол ж", + "M AKE", + "MA KE", + "ĠC oron", + "ĠCo ron", + "ĠCor on", + "Ġkv inner", + "Ġkvin ner", + "Ġkvinn er", + "Ġkvinne r", + "ĠM aid", + "ĠMa id", + "ĠMai d", + "b ob", + "bo b", + ". titleLabel", + ".title Label", + "Ġsuccess es", + "Ġsucc esses", + "Ġsucces ses", + "ĠDem ocracy", + "ĠDemocr acy", + "ĠS urgery", + "ĠSurg ery", + "ĠSurge ry", + "Ġco ugar", + "Ġcou gar", + "Ġ curso", + "Ġcur so", + "Ġcurs o", + "Ġl oro", + "Ġlo ro", + "Ġlor o", + "ist ency", + "iste ncy", + "isten cy", + "Sen ior", + "æ k", + "Ġ AAA", + "ĠA AA", + "ĠAA A", + "Ġ BOOK", + "ĠB OOK", + "ĠBO OK", + "к о", + "W STR", + "WS TR", + "Ġ */,Ċ", + "Ġ* /,Ċ", + "Ġ*/ ,Ċ", + "Ġ*/, Ċ", + "o yal", + "oy al", + "oya l", + ". vector", + ".v ector", + ".vec tor", + "Ġ SPEC", + "ĠS PEC", + "ĠSP EC", + "ĠSPE C", + "S SF", + "SS F", + "Ġcomp uls", + "ĠAppe als", + "ĠAppeal s", + "ĠW inston", + "ĠWin ston", + "ĠWins ton", + "ĠMock ito", + "con trib", + "cont rib", + "contr ib", + "contri b", + ". available", + ".a vailable", + ".av ailable", + "entity Manager", + "a rias", + "ar ias", + "ari as", + "aria s", + "_ sale", + "_s ale", + "_sal e", + "_sa le", + "_ rs", + "_r s", + "Ġde coding", + "Ġdec oding", + "Ġdeco ding", + "Ġ locator", + "Ġl ocator", + "Ġloc ator", + "ol ith", + "oli th", + "olit h", + "Ġ kol", + "Ġk ol", + "Ġko l", + "Ġ ascii", + "Ġasc ii", + "ĠR ut", + "ĠRu t", + "/ interface", + "ĉ ĉĉĉĉĉĠĠĠ", + "ĉĉ ĉĉĉĉĠĠĠ", + "ĉĉĉĉ ĉĉĠĠĠ", + "ĉĉĉ ĉĉĉĠĠĠ", + "ĉĉĉĉĉ ĉĠĠĠ", + "ĉĉĉĉĉĉ ĠĠĠ", + "ĉĉĉĉĉĉĠ ĠĠ", + "ĉĉĉĉĉĉĠĠ Ġ", + "Ġ Numer", + "ĠN umer", + "ĠNum er", + "ĠNu mer", + ". flip", + ".f lip", + ".fl ip", + "- del", + "-d el", + "-de l", + "Ġbol ster", + "Ġbols ter", + "on omic", + "ono mic", + "onom ic", + "Ġ zm", + "Ġz m", + "L G", + "Find By", + "Ġ adaptive", + "Ġad aptive", + "Ġadapt ive", + "Ġada ptive", + "l oo", + "lo o", + "Ġ vue", + "Ġv ue", + "Ġvu e", + "( reverse", + "(re verse", + "_ canvas", + "_c anvas", + "_can vas", + ". roles", + ".r oles", + ".role s", + ".ro les", + "ific ado", + "ifica do", + "ven ient", + "\" As", + "\"A s", + "Ġ Entr", + "ĠEn tr", + "ĠEnt r", + "al igned", + "align ed", + "Ġbere its", + "/ //ĊĊ", + "// /ĊĊ", + "/// ĊĊ", + "///Ċ Ċ", + ".g wt", + ". employee", + ".e mployee", + "_ cli", + "_c li", + "_cl i", + "Ġanticip ate", + "éĻ IJ", + "Ġp ik", + "Ġpi k", + "Ġmush rooms", + "Ġmushroom s", + "( tt", + "(t t", + "Ġ oma", + "Ġo ma", + "Ġom a", + "ĠSan chez", + "_ google", + "_g oogle", + "_go ogle", + ". Valid", + ".Val id", + "Ġ FileName", + "ĠFile Name", + "iv ative", + "k ed", + "ke d", + "- war", + "-w ar", + "Ġm aturity", + "Ġmat urity", + "и д", + "Ġ miner", + "Ġm iner", + "Ġmin er", + "Ġmi ner", + "Ġmine r", + "Re ducers", + "Reduc ers", + "Reducer s", + "Reduce rs", + "Ġ LatLng", + "ĠL atLng", + "ĠLat Lng", + "_ STD", + "_S TD", + "_ST D", + "D igits", + "Digit s", + "Dig its", + "C alc", + "Cal c", + "Ca lc", + "- upload", + "-up load", + "Ġhand ic", + "Ġhan dic", + "ี à¹Ī", + "eg rated", + "egr ated", + "egrate d", + "egra ted", + "Ġ STM", + "ĠS TM", + "ĠST M", + "C lients", + "Client s", + "Cl ients", + "Cli ents", + "ĠTur bo", + "S YNC", + "SY NC", + "Ġphot ographers", + "Ġphotograph ers", + "Ġphotographer s", + ". Out", + ".O ut", + ". character", + ".char acter", + "B UILD", + "BU ILD", + ". unlock", + ".un lock", + "Ġar ises", + "Ġarise s", + "Ġ Commands", + "ĠComm ands", + "ĠCommand s", + "(\" \");čĊ", + "(\"\" );čĊ", + "(\"\") ;čĊ", + "(\"\"); čĊ", + "_ FORE", + "_F ORE", + "_FOR E", + "; ',", + ";' ,", + "+ \"'", + "+\" '", + ". Images", + ".Image s", + ".Im ages", + "\" ){", + "\") {", + "ĠM eyer", + "ĠMe yer", + "ĠMey er", + "Ġneg atively", + "Ġnegative ly", + "Ġ DLL", + "ĠD LL", + "ĠDL L", + "Ġ exe", + "Ġe xe", + "Ġex e", + "Ġdef iciency", + "Ġwild ly", + "- switch", + "-s witch", + "-sw itch", + "con struction", + "construct ion", + "Ġexception ally", + "Ġexceptional ly", + "ĠL iz", + "ĠLi z", + "/ java", + "/j ava", + "/jav a", + "Ġthe irs", + "Ġtheir s", + "ĠCon temporary", + "ĠCont emporary", + "l is", + "li s", + ".fill Rect", + "ĠN FC", + "ĠNF C", + "Ġre he", + "Ġreh e", + "( numbers", + "(num bers", + "(number s", + "Ġr aster", + "Ġra ster", + "Ġras ter", + "Ġrast er", + "Ġfig uring", + "Ġfigur ing", + "Ġshow c", + "Ġsho wc", + "ĠJ ill", + "ĠJi ll", + "Ġar cade", + "Ġarc ade", + "ĠConstruct s", + "m dl", + "md l", + "( '|", + "(' |", + "Ġident ifiers", + "Ġidentifier s", + "Ġ stellar", + "Ġst ellar", + "( Connection", + "Ġ\" {{", + "Ġ\"{ {", + "y or", + "yo r", + "( mysqli", + "(m ysqli", + "(mysql i", + "Ġd ove", + "Ġdo ve", + "Ġdov e", + "Of Birth", + ". disconnect", + ".dis connect", + "_ hi", + "_h i", + "Ġzw ischen", + "ĠGr und", + "i ros", + "ir os", + "iro s", + "_ Array", + "_A rray", + ". onclick", + ".on click", + "an som", + "ans om", + "An swers", + "Answer s", + "Ans wers", + "ĉ remove", + "ĉre move", + "F a", + "Ġh urry", + "Ġhur ry", + "- inf", + "-in f", + "-i nf", + "Ġ getClass", + "Ġget Class", + "ĠgetC lass", + "ĠReg ulation", + "Ġ FLAGS", + "ĠFLAG S", + "m isc", + "mi sc", + "mis c", + "K en", + "Ke n", + "_ heading", + "_head ing", + "_he ading", + "G Hz", + "GH z", + "- entry", + "-en try", + "Ġbi ography", + "S ig", + "Si g", + "- mf", + "-m f", + "W atcher", + "Watch er", + "Wat cher", + "âĢľ A", + "} px", + "Ġsp icy", + "Ġspi cy", + "_ sq", + "_s q", + "L ost", + "Lo st", + "Los t", + "( track", + "(t rack", + "(tr ack", + "а ли", + "ал и", + "Desc ending", + "< bits", + " ((", + ">( (", + "s urvey", + "sur vey", + "Ġ íĺ", + "Ġí ĺ", + ".. .')Ċ", + "... ')Ċ", + "...' )Ċ", + "Ġ Divider", + "ĠDi vider", + "ĠDiv ider", + "ĠDivide r", + "o sl", + "os l", + "_ CANCEL", + "_C ANCEL", + "_CAN CEL", + "_ prepare", + "_pre pare", + "_prep are", + "s tin", + "st in", + "sti n", + "ĠHe ath", + "ĠHeat h", + ". PrimaryKey", + ".Primary Key", + "Ġ âĨIJ", + "ĠâĨ IJ", + "ĠLocal DateTime", + "ĠLocalDate Time", + "Ġco operative", + "Ġcooper ative", + "L earning", + "Le arning", + "Learn ing", + ". enqueue", + ".en queue", + "Ġ goog", + "Ġg oog", + "Ġgo og", + "Ġgoo g", + "Ġ Regression", + "ĠRe gression", + "ĠReg ression", + "i mates", + "im ates", + "imate s", + "ima tes", + "imat es", + "Ġvoy eur", + "Ġ Drink", + "ĠD rink", + "ĠDr ink", + "p lug", + "pl ug", + "Ġl ender", + "Ġle nder", + "Ġlen der", + "Ġlend er", + "m ana", + "man a", + "ma na", + "Ġperson nes", + "Ġpersonne s", + "Ġpersonn es", + "yp se", + "yps e", + "Ġ unlink", + "Ġun link", + "Ġunl ink", + "ĠRa vens", + "ĠRav ens", + "ĠRaven s", + "Ġh urd", + "Ġhur d", + "Ġhu rd", + "Ġperiod ically", + "Ġperiodic ally", + "AR GS", + "ARG S", + "Ġ GH", + "ĠG H", + "char acters", + "character s", + ".. .\"ĊĊ", + "... \"ĊĊ", + "...\" ĊĊ", + "...\"Ċ Ċ", + "- establish", + "Ġ dn", + "Ġd n", + "( condition", + "(con dition", + "(cond ition", + "Ġ Gravity", + "ĠGr avity", + "Ġes tas", + "Ġest as", + "Ġesta s", + "_ focus", + "_f ocus", + "C reature", + "Cre ature", + "Cr eature", + "Creat ure", + "( site", + "(s ite", + "(si te", + "Ġc arr", + "Ġcar r", + "Ġca rr", + "Ġ RL", + "ĠR L", + "Ġ RI", + "ĠR I", + "ĠM oto", + "ĠMo to", + "ĠMot o", + "A SF", + "AS F", + "Ġ Luckily", + "ĠLuck ily", + "ĉ Route", + "ĉR oute", + "Ġ entropy", + "Ġent ropy", + "Ġentr opy", + "( \",\"", + "(\" ,\"", + "(\", \"", + "C ollect", + "Col lect", + "Coll ect", + "( contact", + "(cont act", + "ĠFlor ence", + "ĠFlo rence", + "Ġpremium s", + "Ġpremi ums", + "Ġl ifecycle", + "Ġlife cycle", + "Ġlif ecycle", + "Ġb ans", + "Ġban s", + "Ġba ns", + "x ef", + "xe f", + "Web Kit", + "Ġ Floating", + "ĠF loating", + "ĠFloat ing", + "ĠFlo ating", + "Ġ cosa", + "Ġc osa", + "Ġco sa", + "Ġcos a", + "S pecific", + "Spec ific", + "ĠLo ans", + "ĠLoan s", + "b read", + "br ead", + "bre ad", + "Ġdes criptors", + "Ġdescriptor s", + "Ġ{ :.", + "Ġ{: .", + "TH READ", + "ĠT rent", + "ĠTr ent", + "ĠTre nt", + "Ġs cop", + "Ġsc op", + "Ġsco p", + "Q A", + "ĠAn tar", + "ĠAnt ar", + "p el", + "pe l", + "_ difference", + "_d ifference", + "_diff erence", + "_ changes", + "_ch anges", + "_change s", + "_chan ges", + "( ...)", + "(... )", + "(.. .)", + "Ġ Rotation", + "ĠR otation", + "ĠRot ation", + "ĠL GPL", + "ĠLG PL", + "Ġ JUST", + "ĠJ UST", + "( Task", + "(T ask", + "_ subset", + "_sub set", + "_subs et", + "Ġ TRANS", + "ĠTR ANS", + "ĠTRAN S", + "åĬ Ľ", + "ĠS cout", + "ĠSc out", + "ĠSco ut", + "- popup", + "-p opup", + "-pop up", + "Ġsm oked", + "Ġsmoke d", + "Ġsmo ked", + "_ Class", + "_C lass", + "_Cl ass", + "Ġturn over", + "Ġturno ver", + "br akk", + "bra kk", + "ĠRock y", + "ĠRo cky", + "ĠRoc ky", + "t as", + "ta s", + ".Regular Expressions", + "ĠElli ott", + "ĠElliot t", + "Ġ Spinner", + "ĠSp inner", + "ĠSpin ner", + "DUCT ION", + "DU CTION", + "Ġl ibre", + "Ġli bre", + "Ġlib re", + "Ġlibr e", + "Ġmol to", + "Ġmolt o", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "Ġ FTP", + "ĠF TP", + "ĠFT P", + "m peg", + "mp eg", + "( features", + "(f eatures", + "(feature s", + "(fe atures", + "Ġb ald", + "Ġbal d", + "Ġba ld", + "ĠV id", + "ĠVi d", + "Ġsh outing", + "Ġshout ing", + "Ġsho uting", + "L int", + "Li nt", + "Lin t", + "Ġ sockets", + "Ġs ockets", + "Ġsocket s", + "Ġsock ets", + "Ġp row", + "Ġpro w", + "Ġpr ow", + "Ġnou velle", + "Ġnouvel le", + "Ġnouve lle", + "is card", + "isc ard", + "ĠS ponsor", + "Ġ consulta", + "Ġcons ulta", + "Ġconsult a", + "Ġconsul ta", + ") ));", + ")) );", + "))) ;", + "Ind ian", + "India n", + "ĠR aspberry", + "Ġteam mate", + "Ġ JWT", + "ĠJ WT", + "ĠJW T", + "ĠG hana", + "ĠGh ana", + "Ġ cakes", + "Ġc akes", + "Ġca kes", + "Ġcake s", + "pr imer", + "prim er", + "prime r", + "pri mer", + "form a", + "for ma", + "erg arten", + "_ Manager", + "_M anager", + "_Man ager", + "Ġpre season", + "G AME", + "GA ME", + "| \"", + "ĠB rock", + "ĠBr ock", + "ĠBro ck", + "Ġocc upy", + "Ġoccup y", + "Ġdecor ations", + "Ġdecoration s", + "á nd", + "án d", + "Ġ cot", + "Ġc ot", + "Ġco t", + "Ġp aran", + "Ġpar an", + "Ġpara n", + "Ġpa ran", + "D isk", + "Dis k", + "Di sk", + "r emain", + "re main", + "rem ain", + "rema in", + "> ?", + "St rong", + "Str ong", + "Ġf rance", + "Ġfr ance", + "Ġfra nce", + "Ġfran ce", + "Ġfranc e", + "ĠE ra", + "ĠEr a", + "- cr", + "-c r", + ".Buffer edReader", + ".Buffered Reader", + "ĠParad ise", + "ĠV AT", + "ĠVA T", + "ĠAn ders", + "ĠAnd ers", + "Ġl imb", + "Ġli mb", + "Ġlim b", + "amp oo", + "ampo o", + "Ġimper ative", + "UT ILITY", + "UTIL ITY", + "Ġ Recognition", + "ĠRec ognition", + "ĠRecogn ition", + "Ġragaz ze", + "Ġp ops", + "Ġpop s", + "Ġpo ps", + "y press", + "yp ress", + "Ġemb argo", + "Ġembar go", + "// {Ċ", + "Ġs yll", + "Ġsy ll", + "P TR", + "PT R", + "åŃĺ åľ¨", + "Ġdid nt", + "Ġdidn t", + "M ailer", + "Mail er", + "Ma iler", + "Ġacad emics", + "Ġacademic s", + "ĠFr auen", + "ĠFra uen", + "ĠFrau en", + "ne ider", + "- rel", + "-r el", + "-re l", + "Ġrain bow", + "( In", + "(I n", + "Ġs liced", + "Ġsl iced", + "Ġslice d", + "Ġslic ed", + "= ============Ċ", + "== ===========Ċ", + "==== =========Ċ", + "======== =====Ċ", + "=== ==========Ċ", + "============ =Ċ", + "============= Ċ", + "=========== ==Ċ", + "========= ====Ċ", + "========== ===Ċ", + "====== =======Ċ", + "===== ========Ċ", + "======= ======Ċ", + "( send", + "(s end", + "(se nd", + "NSMutable Dictionary", + "v os", + "vo s", + "( package", + "(p ackage", + "(pack age", + "Ġord inance", + "Ġordin ance", + "view er", + "vie wer", + "ĠSan tos", + "ĠSant os", + "ĠSanto s", + "- selling", + "-s elling", + "Ġ gov", + "Ġg ov", + "Ġgo v", + "et tle", + "ett le", + "Ġfound ers", + "Ġfo unders", + "Ġfounder s", + "Ġw aking", + "Ġwa king", + "s lashes", + "sl ashes", + "slash es", + "-p ound", + "-po und", + "re cht", + "rec ht", + "rech t", + "ا ت", + "Ø§Ø ª", + ". onClick", + ".on Click", + "Ġn ord", + "Ġno rd", + "Ġnor d", + "st änd", + "_ when", + "_w hen", + "_wh en", + "U TERS", + "UT ERS", + "UTE RS", + "i cc", + "ic c", + "Ġcaps ule", + "ĠW id", + "ĠWi d", + "M arc", + "Mar c", + "Ma rc", + "ภ¸", + "r ored", + "ro red", + "ror ed", + "U GE", + "UG E", + "LO UD", + "Ġ Audit", + "ĠA udit", + "ĠAud it", + "ĠAu dit", + "ĠAudi t", + "ip ients", + "ipient s", + "ipi ents", + "op ian", + "opia n", + "opi an", + "ĠS ue", + "ĠSu e", + "Ġwur den", + "Ġwurde n", + ". Helpers", + ".H elpers", + ".Helper s", + ".Help ers", + "Ġf actions", + "Ġfact ions", + "Ġfa ctions", + "Ġfaction s", + "[ np", + "[n p", + "- than", + "-t han", + "-th an", + "Ġre co", + "Ġr eco", + "Ġrec o", + "Ġ kas", + "Ġk as", + "Ġka s", + "Ġ cmds", + "Ġcmd s", + "Ġcm ds", + "/ network", + "/n etwork", + "/net work", + "x bf", + "xb f", + "get Color", + "getC olor", + "Ġ biased", + "Ġbi ased", + "Ġbias ed", + "ĠL ak", + "ĠLa k", + "D atas", + "Data s", + "Da tas", + "Dat as", + "v ents", + "ve nts", + "vent s", + "ven ts", + "Ġ ë²", + "Ġë ²", + "_ PS", + "_P S", + ". Validate", + ".Valid ate", + "Inv oker", + "Invoke r", + "Ġne uen", + "Ġneu en", + "Ġneue n", + "Ġju venile", + "Ġjuven ile", + "V ISION", + "VI SION", + "VIS ION", + "Ġde vote", + "Ġdev ote", + "Ġ linha", + "Ġl inha", + "Ġlin ha", + "Ġlinh a", + "Ġdiscount ed", + "Ġdisco unted", + "\\ Config", + "Ġworth while", + "Ġskin ny", + "Ġ Courses", + "ĠC ourses", + "ĠCo urses", + "ĠCour ses", + "ĠCourse s", + "le ys", + "ley s", + "ĠMort gage", + "K evin", + "Ke vin", + "Ġann ounces", + "Ġannounc es", + "Ġannounce s", + "] )*", + "]) *", + "res ervation", + "Ġ æķ°", + "Ġæķ °", + "Ġprejud ice", + "ĠString Comparison", + "Ġbe ard", + "Ġbear d", + "- win", + "-w in", + "ĠS ão", + "ĉ ms", + "ĉm s", + "j al", + "ja l", + "Ġ Earn", + "ĠE arn", + "ĠEar n", + "ĠEa rn", + "_ ports", + "_p orts", + "_port s", + "_po rts", + "_por ts", + "Ġ Nombre", + "ĠN ombre", + "ĠNom bre", + "_ COR", + "_C OR", + "_CO R", + "Ġ BUILD", + "ĠB UILD", + "ĠBU ILD", + ". sound", + ".s ound", + ".so und", + "Y ellow", + "Ġlineback er", + "Ġchar itable", + "Ġcha ritable", + "j ug", + "ju g", + "_NON NULL", + "ĠD ental", + "ĠDen tal", + "ĠDent al", + "\" >${", + "\"> ${", + "\">$ {", + "ĉ match", + "ĉm atch", + "ĉmat ch", + "R ussian", + "Russia n", + "Russ ian", + "Rus sian", + "Ġver sch", + "Ġvers ch", + "Ġp inned", + "Ġpin ned", + "Ġadopt ing", + "Options Menu", + "P ag", + "Pa g", + "Ġpair ing", + "Ġpa iring", + "Ġpai ring", + "Ġt read", + "Ġtr ead", + "Ġtre ad", + "erc ises", + "ercise s", + "Ġ Spread", + "ĠS pread", + "ĠSp read", + "ĠSpr ead", + ") i", + "Ġ BAD", + "ĠB AD", + "ĠBA D", + "_ tf", + "_t f", + "UI ImageView", + "UIImage View", + "pop ulate", + "b ab", + "ba b", + "Ġ Ïĥ", + "ĠÏ ĥ", + "[ ++", + "Ġopi oid", + "Ġ ##Ċ", + "Ġ# #Ċ", + "Ġ## Ċ", + "d type", + "dt ype", + "ĠSt arts", + "ĠStart s", + "ĠStar ts", + "ĠSta rts", + "(' /')", + "('/ ')", + "Ġperson als", + "Ġpersonal s", + "Ġpersona ls", + "- market", + "-m arket", + "-mark et", + "-mar ket", + "Ġredund ant", + "ĠEss ential", + "Ġsc rapy", + "Ġscr apy", + "Ġscrap y", + "Ġ им", + "Ġи м", + "a cl", + "ac l", + "Ġ crear", + "Ġc rear", + "Ġcr ear", + "Ġcre ar", + "Ġcrea r", + "ĠB end", + "ĠBe nd", + "ĠBen d", + "Ġrel ieve", + "Ġreli eve", + "Ġrelie ve", + "- room", + "-r oom", + "-ro om", + "w ife", + "wi fe", + "Ġv Ãł", + "ĠQ Point", + "Ġqu asi", + "Ġqua si", + "Ġ methodName", + "Ġmethod Name", + "\\ xc", + "\\x c", + "ĠP eru", + "ĠPer u", + "ĠPe ru", + "/ The", + "/T he", + ". orm", + ".o rm", + ".or m", + "Ġ viz", + "Ġv iz", + "Ġvi z", + "/ pdf", + "/p df", + "Loc ated", + "Ġconfront ation", + "ĠChampionship s", + "ĠChampions hips", + "ĠChampion ships", + "Ġhy pert", + "Ġhyp ert", + "Ġhyper t", + "Ġhype rt", + "Ġ dj", + "Ġd j", + "Ġ UserInfo", + "ĠUser Info", + "Ġ åĪĽå»º", + "ĠåĪ Ľå»º", + "\\ xb", + "\\x b", + "( sim", + "(s im", + "(si m", + "Ġ ==Ċ", + "Ġ= =Ċ", + "Ġ== Ċ", + "Ġst aging", + "Ġsta ging", + "Ġstag ing", + "Ġdr astically", + "Ġdrastic ally", + "åŃ ¦", + "l ords", + "lor ds", + "lord s", + ". less", + ".l ess", + ".le ss", + "вед иÑĤе", + "Ġ Bucket", + "ĠB ucket", + "ĠBuck et", + "ĠBu cket", + "ĠM am", + "ĠMa m", + ". term", + ".t erm", + ".te rm", + "_ pi", + "_p i", + "c zy", + "cz y", + ". pub", + ".p ub", + "p recio", + "pre cio", + "prec io", + "preci o", + "ĠV irt", + "ĠVir t", + "ĠVi rt", + "Ġ roman", + "Ġr oman", + "Ġro man", + "Ġrom an", + "Ġroma n", + "i tat", + "it at", + "ita t", + "L ex", + "Le x", + "_ infos", + "_in fos", + "_info s", + "_inf os", + "Ä °", + ". other", + ".o ther", + ".ot her", + "VE LO", + "VEL O", + "Ġ ponder", + "Ġp onder", + "Ġpo nder", + "Ġpon der", + "Ġpond er", + "Ġh anno", + "Ġhan no", + "Ġhann o", + "( Page", + "(P age", + "d oi", + "do i", + "Ġpol ite", + "Ġpo lite", + "Ġpolit e", + "Ġprogram mer", + "Ġprogramme r", + "Ġprogramm er", + "D ies", + "Die s", + "Di es", + "$ d", + "Ġre plication", + "Ġrep lication", + "Ġrepl ication", + "Ġreplic ation", + "Ġreplica tion", + "add Column", + "fr ican", + "frica n", + "Ġl eng", + "Ġle ng", + "Ġlen g", + "b eer", + "be er", + "bee r", + "o it", + "oi t", + "Ġw asting", + "Ġwas ting", + "Ġwast ing", + "y lim", + "yl im", + "me asure", + "N eg", + "Ne g", + "Ġpart ie", + "Ġpar tie", + "Ġparti e", + ". console", + ".con sole", + ".cons ole", + "ĠGu inea", + "ĠGui nea", + "T EL", + "TE L", + "_ fact", + "_f act", + "_fac t", + "_fa ct", + ". chunk", + ".ch unk", + "Ġl ent", + "Ġle nt", + "Ġlen t", + "Ġ aller", + "Ġa ller", + "Ġal ler", + "Ġall er", + "Ġalle r", + "Ġ à¤ķ", + "Ġठķ", + "_ idle", + "_id le", + "_i dle", + "Ġad missions", + "Ġadm issions", + "Ġadmission s", + "JSON Array", + "Ġv ibration", + "Ġvibr ation", + "Ġvib ration", + ". helpers", + ".h elpers", + ".helper s", + ".help ers", + "å¤ ĸ", + "Ġ hen", + "Ġh en", + "Ġhe n", + "j ohn", + "jo hn", + "Ġ ìĥĿ", + "Ġì ĥĿ", + "Ġìĥ Ŀ", + "Ġjud gement", + "Ġjudge ment", + "Ġg een", + "Ġge en", + "Ġgee n", + "t erra", + "ter ra", + "terr a", + "^ {", + "ĠI z", + "Ġc â", + "in stances", + "instance s", + "inst ances", + "instanc es", + "Ġthreat ens", + "Ġthreaten s", + "Ġm üssen", + "Kind OfClass", + "Ġstoryt elling", + "_ demo", + "_d emo", + "_de mo", + "_dem o", + "r ias", + "ri as", + "ria s", + "Priv acy", + "h ift", + "hi ft", + "ĠY i", + "es or", + "eso r", + "íķ ł", + "ens itivity", + ". Writer", + ".W riter", + ".Write r", + "ภĤ", + "D istrict", + "Di strict", + ".get JSONObject", + "Im pro", + "Imp ro", + "(get Resources", + "Ġ SPELL", + "ĠS PELL", + "ĠSP ELL", + "ĠSPE LL", + "ro duce", + "rodu ce", + "rod uce", + "Ġsl owed", + "Ġslow ed", + "Ġslo wed", + "Ġ linewidth", + "Ġline width", + "Ġlin ewidth", + "Ġhon esty", + "Ġhonest y", + "Ġho nesty", + "Ġhone sty", + "Ġ Coord", + "ĠC oord", + "ĠCo ord", + "ĠF ork", + "ĠFor k", + "ĠFo rk", + "ĠDispatch Queue", + "ĠCl iff", + "ĠCli ff", + "ĠW iring", + "ĠWi ring", + "ĠWir ing", + "_TIM ESTAMP", + "ol lah", + "oll ah", + "olla h", + "a void", + "av oid", + "avo id", + "++ ];Ċ", + "++] ;Ċ", + "sem antic", + "- css", + "-c ss", + "Ġv eto", + "Ġve to", + "Ġvet o", + "ĠM err", + "ĠMe rr", + "ĠMer r", + "Ġlegisl ators", + "C EEDED", + "CEE DED", + "CEED ED", + "Ġquestion naire", + "ĠP ills", + "ĠPill s", + "ĠPil ls", + "C alculate", + "Cal culate", + "Calc ulate", + "Calcul ate", + "( core", + "(c ore", + "(co re", + "(cor e", + "' e", + "Ġdis like", + "Ġ Preferences", + "ĠP references", + "ĠPre ferences", + "ĠPreference s", + "ĠPrefer ences", + "_ EXTERNAL", + "_EX TERNAL", + "_EXTERN AL", + "è° ĥ", + "Ġd odge", + "Ġdo dge", + "Ġdod ge", + "æľį åĬ¡", + ". names", + ".n ames", + ".name s", + ".draw Image", + "_ prom", + "_p rom", + "_pro m", + "_pr om", + "uck land", + "Ġ<$ >", + "ı z", + "/ site", + "/s ite", + "é¡ ¹", + "r ophe", + "ro phe", + "rop he", + "roph e", + "Ġcomp elled", + "Ġcompel led", + "Ġl aptops", + "Ġlaptop s", + "Ġ uni", + "Ġu ni", + "Ġun i", + "C LOSE", + "CL OSE", + "Ġcasual ties", + "Ġ Uniform", + "ĠUn iform", + "ĠUni form", + "Term inal", + ". \",\"", + ".\" ,\"", + ".\", \"", + "D AT", + "DA T", + "( TreeNode", + "(T reeNode", + "(Tree Node", + "ĠGand hi", + "( stmt", + "(st mt", + "A XB", + "AX B", + "* M", + "Ġumb rella", + "an imal", + "ani mal", + "anim al", + "Ġ grpc", + "Ġg rpc", + "Ġgr pc", + "Ġgrp c", + "Ġwhere by", + "Ġfloat s", + "Ġflo ats", + "ĉ arg", + "ĉa rg", + "ĉar g", + "Ġ dbg", + "Ġd bg", + "Ġdb g", + "Ġexceed ing", + "Ġexce eding", + "Event Type", + ".SaveChanges Async", + "Ġ {{{", + "Ġ{ {{", + "Ġ{{ {", + "Ġ owed", + "Ġo wed", + "Ġow ed", + "Ġowe d", + "ahren heit", + "Ġ ì§", + "Ġì §", + "Ġequ ipo", + "Ġequip o", + "u rai", + "ur ai", + "ura i", + "Ġi dol", + "Ġid ol", + "] \")Ċ", + "]\" )Ċ", + "]\") Ċ", + "_ major", + "_m ajor", + "Ġentire ty", + "inger print", + "ç os", + "ço s", + "/ account", + "/a ccount", + "/ac count", + "ĉ right", + "ĉr ight", + "urs os", + "ĠE DT", + "ĠED T", + "_ INSERT", + "_INS ERT", + "Ġsh ining", + "Ġshin ing", + "Ġ< :", + "Edge Insets", + "Ġcolon ies", + ". IM", + ".I M", + "ĉ Ġĉ", + "ĉĠ ĉ", + "R OAD", + "RO AD", + "C CCC", + "CC CC", + "CCC C", + "pl acing", + "pla cing", + "Ġget Activity", + "em acs", + "ema cs", + "' %(", + "'% (", + ". clicked", + ".cl icked", + ".click ed", + "Ġ Them", + "ĠT hem", + "ĠThe m", + "ĠTh em", + "is ia", + "isi a", + "Bus car", + "Bu scar", + ". rename", + ".re name", + ".r ename", + "Ġo ath", + "Ġoat h", + "Ġoa th", + "Ġafter ward", + "ĠU FO", + "ĠUF O", + "A PS", + "AP S", + "ĠJackson ville", + ". some", + ".s ome", + ".so me", + "Conf irmed", + "Confirm ed", + ". scan", + ".s can", + ".sc an", + "ig Integer", + "Decor ator", + "sh ield", + "shi eld", + "ress ive", + ". did", + ".d id", + ".di d", + "请 è¾ĵåħ¥", + "Ġsh utter", + "Ġshut ter", + "D am", + "Da m", + "Ġpar enting", + "Ġparent ing", + "Ġparen ting", + "ey ed", + "eye d", + "$ item", + "$i tem", + "- develop", + "-de velop", + "-dev elop", + "-devel op", + "Ġex tracts", + "Ġextra cts", + "Ġextract s", + "Ġextr acts", + "Ġdecentral ized", + "ĠE lsa", + "ĠEl sa", + "_ spin", + "_s pin", + "_sp in", + "_spi n", + "] )+", + "]) +", + "- initial", + "-in itial", + "-init ial", + "Ġmult itude", + "Ġmultit ude", + "Ġsens ory", + "Ġsensor y", + "Ġ MODEL", + "ĠMO DEL", + "ĠMOD EL", + "ĠMODE L", + "Ġsaf eguard", + "Ġsafe guard", + "Ġsafeg uard", + "ì ¹", + "Ġhun ters", + "Ġhunt ers", + "Ġhunter s", + "Ġ Tiny", + "ĠT iny", + "ĠTi ny", + "ĠTin y", + "I NO", + "IN O", + "dec orate", + "decor ate", + "Ġ NoSuch", + "ĠNo Such", + "H o", + "( Response", + "Ġr uler", + "Ġrule r", + "Ġru ler", + "ĉ short", + "ĉs hort", + "ĉsh ort", + "Ġ caster", + "Ġc aster", + "Ġca ster", + "Ġcas ter", + "Ġcast er", + "Ġcaste r", + "Ġ clientId", + "Ġclient Id", + "Ġ pdb", + "Ġp db", + "Ġpd b", + "ëı Ħ", + "i tic", + "it ic", + "iti c", + "Ġ GameState", + "ĠGame State", + "Ġnew Item", + ") ĊĊĊĊĊĊ", + ")Ċ ĊĊĊĊĊ", + ")ĊĊ ĊĊĊĊ", + ")ĊĊĊ ĊĊĊ", + ")ĊĊĊĊ ĊĊ", + ")ĊĊĊĊĊ Ċ", + "o uis", + "ou is", + "oui s", + "n oc", + "no c", + ". BLACK", + ".BL ACK", + "_ VECTOR", + "_V ECTOR", + "_VEC TOR", + "_VE CTOR", + "---------- ();", + ">( );", + ">() ;", + ".get P", + "an ye", + "any e", + "Ġne uron", + "Ġneuro n", + "Ġneu ron", + "Ġneur on", + "i fold", + "if old", + "ifo ld", + "Ġ Known", + "ĠK nown", + "ĠKn own", + "ĠKnow n", + "Bit coin", + "Any way", + "ay ette", + "aye tte", + "ayet te", + "Ġ' ['", + "Ġ'[ '", + "Ãł nh", + "Ãłn h", + "m gr", + "mg r", + "Ġcor related", + "Ġcorre lated", + "Ġcorrel ated", + "Ġcorrelate d", + "Ġn ause", + "Ġna use", + "Ġnau se", + "Ġmental ity", + "Ġment ality", + "has Many", + "Ġ FG", + "ĠF G", + "am pie", + "amp ie", + "I TU", + "IT U", + "F s", + ". Sp", + ".S p", + "_ between", + "_b etween", + "_bet ween", + "Dep endencies", + "o ug", + "ou g", + "Place holder", + "= text", + "=t ext", + "Ġ Managing", + "ĠMan aging", + "ĠMana ging", + "ocal ypse", + "åĮ Ĺ", + "_ mag", + "_m ag", + "_ma g", + "f ld", + "fl d", + "â ij", + "C AM", + "CA M", + "Ġ Helpers", + "ĠH elpers", + "ĠHelp ers", + "ĠHelper s", + "ĠHel pers", + "Ġd ost", + "Ġdo st", + "Ġdos t", + "/ out", + "/o ut", + "Ġassass ination", + "Ġassassin ation", + ". getImage", + ".get Image", + "ĠK enny", + "ĠKen ny", + "ĠKenn y", + ". ')ĊĊ", + ".' )ĊĊ", + ".')Ċ Ċ", + ".') ĊĊ", + ") {//", + "){ //", + "ĠR anger", + "ĠRange r", + "ĠRa nger", + "ĠRan ger", + "Ġg ek", + "Ġge k", + "Ġsince re", + "Ġsinc ere", + "Ġsincer e", + "< Value", + "čĊ", + "/> čĊ", + ".get Resources", + ".getResource s", + "Ġl ump", + "Ġlu mp", + "Ġlum p", + "_ consts", + "_con sts", + "_const s", + "_cons ts", + "( ext", + "(e xt", + "(ex t", + "ĉ dir", + "ĉd ir", + "â Ŀ", + "Ġpadding Top", + "Ġob session", + "Ġobs ession", + "Ġobsess ion", + "Ġb anning", + "Ġban ning", + "ĠApp Module", + "Ġp artisan", + "Ġpart isan", + "Ġparti san", + "Ġcatalog ue", + "Ġcata logue", + "Ġcatal ogue", + "Ġmin ors", + "Ġminor s", + "Ġp itches", + "Ġpitch es", + "Ġpit ches", + "we ep", + "Ġunder take", + "Ġundert ake", + "Ġth emed", + "Ġthe med", + "Ġthem ed", + "Ġtheme d", + "a udit", + "au dit", + "aud it", + "audi t", + ". scrollTop", + ".scroll Top", + ".scrollTo p", + "Ġ rer", + "Ġre r", + "Ġr er", + "Ġsym ptom", + "Ġsympt om", + "Ġsymp tom", + "Ġopen ings", + "Ġopening s", + ". blocks", + ".b locks", + ".bl ocks", + ".block s", + "open id", + "ope nid", + "Ġa ssh", + "Ġas sh", + "Ġass h", + "- save", + "-s ave", + "ĠP ig", + "ĠPi g", + "Ġre gain", + "Ġreg ain", + "Ġin icial", + "Ġini cial", + "Ġinici al", + "/ favicon", + "/f avicon", + "ĉ exp", + "ĉe xp", + "ĉex p", + "Ġsp ices", + "Ġspi ces", + "Ġspice s", + "i ska", + "is ka", + "isk a", + "cl aims", + "claim s", + "cla ims", + "m ak", + "ma k", + "definition s", + "Ġcorrespond ent", + "ĠCann abis", + "_ _,Ċ", + "__ ,Ċ", + "__, Ċ", + "ĠL ucky", + "ĠLuc ky", + "ĠLu cky", + "ĠLuck y", + "ĠG aussian", + "ĠGa ussian", + "ĠGauss ian", + "Ġ Nearly", + "ĠN early", + "ĠNear ly", + "C AD", + "CA D", + "' ]]Ċ", + "'] ]Ċ", + "']] Ċ", + "Ġadequate ly", + "Ġadequ ately", + "Ġ TITLE", + "ĠT ITLE", + "constitution al", + "- mm", + "-m m", + "_ override", + "_over ride", + "Ġ blas", + "Ġb las", + "Ġbl as", + "Ġbla s", + ".ready State", + "Ġrem inis", + "Ġremin is", + "Ġrein forced", + "Ġreinforce d", + "ĠColl abor", + "Ġdecor ating", + "Ġdeco rating", + "Ġb achelor", + "Ġbach elor", + "ERRU PT", + "Ġup right", + "ip ation", + "ipa tion", + "ĠN oble", + "ĠNo ble", + "ĠNob le", + "Ġvalue ForKey", + "Ġset Loading", + ". Ignore", + ".I gnore", + "å ģ", + "G lobals", + "Global s", + "ĠM ent", + "ĠMe nt", + "ĠMen t", + "AS SES", + "ASS ES", + "Ġlim bs", + "Ġlimb s", + "Ġ HUD", + "ĠH UD", + "in ci", + "inc i", + ". iv", + ".i v", + "ĠQ ModelIndex", + "F use", + "Fu se", + "Ġpe dal", + "Ġped al", + "_F REQ", + "_FR EQ", + "_FRE Q", + "( verbose", + "(ver bose", + "Ġlong itud", + "ĠCh arter", + "ĠChar ter", + "ĠChart er", + "ê ·¸", + "ê· ¸", + "Ġ bundles", + "Ġb undles", + "Ġbund les", + "Ġbundle s", + ". ignore", + ".i gnore", + "um bo", + "umb o", + "E MA", + "EM A", + ". ......", + ".. .....", + "... ....", + ".... ...", + "..... ..", + "...... .", + "s x", + ". Card", + ".C ard", + ".Car d", + "Ġhe ute", + "Ġst eer", + "Ġste er", + "j umlah", + "Ġ {_", + "Ġ{ _", + "_ Checked", + "_Check ed", + "Ġ fax", + "Ġf ax", + "Ġfa x", + "ĠG ust", + "ĠGu st", + "ĠGus t", + "itch ens", + "itchen s", + "Ġ ))ĊĊ", + "Ġ) )ĊĊ", + "Ġ)) ĊĊ", + "Ġ))Ċ Ċ", + "Ġremark ably", + "/ XML", + "/X ML", + "- remove", + "-re move", + "_ bt", + "_b t", + "Ġinc ub", + ". package", + ".p ackage", + ".pack age", + ".current Thread", + "ĠHigh lander", + "ĠHighland er", + ". side", + ".s ide", + ".sid e", + ".si de", + "s plash", + "sp lash", + "spl ash", + "Ġ ici", + "Ġi ci", + "Ġic i", + "= D", + "Ġp uck", + "Ġpu ck", + "Ġball ots", + "Ġbal lots", + "Ġballot s", + "Ġballo ts", + "Ġhuge ly", + "Ġhug ely", + "c oeff", + "co eff", + "coef f", + "coe ff", + "Ġ pData", + "Ġp Data", + ". COLUMN", + ".C OLUMN", + "ĠHe aling", + "ĠHeal ing", + "Ġ ordin", + "Ġor din", + "Ġord in", + "! ),", + "!) ,", + "Ġ' ',čĊ", + "Ġ'' ,čĊ", + "Ġ'', čĊ", + "( md", + "(m d", + "ĠS ask", + "ĠSa sk", + "ĠSas k", + "< strong", + "Ġsurv ivor", + "Ġsurviv or", + ". series", + ".s eries", + ".se ries", + ".ser ies", + "Ġcaffe ine", + "Ġ `(", + "Ġ` (", + ".TRA ILING", + "_ Input", + "_In put", + "( \"^", + "(\" ^", + "z d", + "& );Ċ", + "&) ;Ċ", + "Ġ Ping", + "ĠP ing", + "ĠPin g", + "ĠPi ng", + "Ġ voucher", + "Ġv oucher", + "Ġvo ucher", + "Ġvou cher", + ". rating", + ".r ating", + ".ra ting", + "-sh irts", + "-shirt s", + "ĠRetrie ves", + "ĠRetrieve s", + ".al ibaba", + "Or acle", + "_ MOV", + "_M OV", + "_MO V", + "Old Data", + "Ġ /*čĊ", + "Ġ/ *čĊ", + "Ġ/* čĊ", + "Ġ gboolean", + "Ġg boolean", + "Ġ= >čĊ", + "Ġ=> čĊ", + "Ġ rá", + "Ġr á", + "Ġbl unt", + "ĠImage Icon", + "i fik", + "if ik", + "ifi k", + "R TC", + "RT C", + "Ġfi bers", + "Ġfib ers", + "Ġfiber s", + "Ġto ile", + "Ġtoi le", + ". sent", + ".s ent", + ".se nt", + "ĠPy Qt", + "$ app", + "$a pp", + "Ġm edio", + "Ġme dio", + "Ġmed io", + "Ġmedi o", + "Ġgrant ing", + "Ġgran ting", + "Ġts lint", + "Ġtsl int", + "ĠM ö", + "(fig size", + "Ġhur ricane", + "Ġl ifes", + "Ġlife s", + "Ġlif es", + "Ġ ÃĦ", + "Ġà Ħ", + "rocess ing", + "_ standard", + "_st andard", + "_stand ard", + "- option", + "-o ption", + "-op tion", + "-opt ion", + "' )))", + "') ))", + "')) )", + "Ġvac ant", + "Ġva cant", + "å· ¥", + "ĠH ollow", + "ĠHol low", + "ĠHoll ow", + "handle Change", + "Ġ divider", + "Ġdi vider", + "Ġdiv ider", + "Ġdivide r", + "Ġdivid er", + "ĠEngine ers", + "ĠEngineer s", + "Ġs vens", + "Ġsv ens", + "Ġsve ns", + "Ġcom pliant", + "Ġcompl iant", + "t anggal", + "Ġ Credits", + "ĠC redits", + "ĠCredit s", + "ĠEm irates", + "Rule Context", + "Ġreal ization", + "Ġrealiz ation", + "Ġrealiza tion", + "Ġdis tracted", + "Ġdistr acted", + "Ġdistract ed", + "] +=", + "]+ =", + "Ġau gment", + "Ġaug ment", + "ĠD w", + "o tp", + "ot p", + "or rent", + "orr ent", + "orre nt", + "Ed itar", + "Edit ar", + ". stock", + ".st ock", + "St udy", + "p ections", + "pe ctions", + "pect ions", + "pection s", + "Ġ GameManager", + "ĠGame Manager", + "= cut", + "=c ut", + "Ġf lock", + "Ġfl ock", + "Ġflo ck", + "ĠRom ans", + "ĠRo mans", + "ĠRoman s", + "ĠRoma ns", + "t hem", + "th em", + "the m", + "- hop", + "-h op", + "Ġscreen shots", + "Ġscreens hots", + "Ġscreenshot s", + "Ġ /*!Ċ", + "Ġ/* !Ċ", + "Ġ/*! Ċ", + "Ġcon versions", + "Ġconv ersions", + "Ġconvers ions", + "Ġconversion s", + "Ġnormal ization", + "( configuration", + "(config uration", + "Ġa eros", + "Ġaer os", + "Ġae ros", + "_ security", + "_s ecurity", + "_se curity", + "_sec urity", + "! 'Ċ", + "!' Ċ", + "B onus", + "Bon us", + "ĠDR IVER", + "ĠDRIVE R", + "ĉ Date", + "ĉD ate", + "t ie", + "ti e", + "ĠWy oming", + "St and", + "Stan d", + "i tre", + "it re", + "itr e", + "Ġsh oppers", + "Ġshop pers", + "Ġsho ppers", + "Ġshopper s", + "Ġdisadv antage", + "Ġl iking", + "Ġli king", + "Ġlik ing", + "ç¬ ij", + "Ġunderstand able", + "S EE", + "SE E", + "Ġh oy", + "Ġho y", + "Ġnine te", + "Ġni nete", + "Ġnin ete", + "Ġcon fer", + "Ġconf er", + "Ġ nowrap", + "Ġno wrap", + "Ġnow rap", + "ĠV ern", + "ĠVer n", + "ĠVe rn", + ", čĊčĊ", + ",čĊ čĊ", + "ime step", + "imes tep", + "imest ep", + "Layout Manager", + "à ·", + "ĉ wait", + "ĉw ait", + "P LETED", + "PLE TED", + "J apan", + "Ja pan", + "Ġin duce", + "Ġind uce", + "Ġindu ce", + "Ġ å¯", + "Ġå ¯", + "о зв", + "оз в", + "_END POINT", + ". horizontal", + ".h orizontal", + "Ġacceler ated", + "Ġaccelerate d", + "r imon", + "ri mon", + "rim on", + "I VES", + "IV ES", + "IVE S", + "Trans actions", + "Transaction s", + "L ean", + "Le an", + "ĠS OUR", + "ĠSO UR", + "wh ether", + "y g", + "Ġ oid", + "Ġo id", + "Ġoi d", + "Ġ EntityManager", + "ĠEntity Manager", + "OUN TRY", + "OUNT RY", + "Ġ fila", + "Ġf ila", + "Ġfil a", + "Ġfi la", + "OLUM NS", + "OLUMN S", + "IN UE", + "INU E", + "Ġ Anchor", + "ĠAn chor", + "ĠAnc hor", + "ĠAnch or", + "TR AN", + "TRA N", + "w oo", + "wo o", + "block quote", + "ĠN urse", + "ĠNurs e", + "ĠNur se", + "ĠC arp", + "ĠCar p", + "ĠCa rp", + "Ġrede em", + ". try", + ".t ry", + ".tr y", + "Ġ JP", + "ĠJ P", + "Ġ timestamps", + "Ġtimestamp s", + "Ġ?> \"><", + "Ġ?>\" ><", + "Ġ?>\"> <", + "Ġ REMOVE", + "ĠRE MOVE", + "ĠREM OVE", + "ĠStar bucks", + "Re ally", + "Real ly", + "Ġflo oded", + "Ġflood ed", + ". Callback", + ".C allback", + ".Call back", + "Drop Down", + "i pro", + "ip ro", + "Ġt ended", + "Ġten ded", + "Ġtend ed", + "l te", + "lt e", + "Ġproportion s", + "Ġproport ions", + "- te", + "-t e", + "ĠR ena", + "ĠRe na", + "ĠRen a", + "l icate", + "lic ate", + "li cate", + "lica te", + "for ces", + "force s", + "forc es", + ". extra", + ".ex tra", + ".ext ra", + ". authenticate", + ".auth enticate", + "в од", + "во д", + "¡ °", + "Ġfor ControlEvents", + "Ġ senha", + "Ġs enha", + "Ġsen ha", + "Ġk ein", + "Ġke in", + "Ġmin ist", + "Ġmi nist", + "Ġmini st", + "Ġ Preference", + "ĠP reference", + "ĠPre ference", + "ĠPref erence", + "ĠPrefer ence", + "ĠTele graph", + "Ñĥ п", + "str pos", + "Ġillness es", + "Ġp igs", + "Ġpi gs", + "Ġpig s", + "Ġget Intent", + "ĠgetInt ent", + "S ol", + "So l", + "Ġ ¡", + "Ġ ¡", + "( cpu", + "(c pu", + "(cp u", + "[ prop", + "[p rop", + "s creens", + "screen s", + "') ;?>", + "'); ?>", + "Ġ Acts", + "ĠA cts", + "ĠAct s", + "ĠAc ts", + "Ġstr dup", + "Ġa verages", + "Ġaverage s", + "Ġaver ages", + "a nal", + "an al", + "ana l", + "ĠCas ual", + "Group Box", + "ĠHand book", + "/ comments", + "/com ments", + "/comment s", + "Ġnumber ed", + "Ġnumb ered", + "Ġbroad casting", + "Ġbroadcast ing", + "çĽ ij", + ".native Element", + ". mu", + ".m u", + "Ġ updatedAt", + "Ġupdated At", + "ĠDoes n", + "ĠDoe sn", + ". AC", + ".A C", + ". coll", + ".c oll", + ".co ll", + ".col l", + "Ġrec order", + "Ġrecord er", + "_ sha", + "_s ha", + "_sh a", + "B g", + "b il", + "bi l", + "Ġbol ts", + "Ġbolt s", + "Ġ ç¬", + "Ġç ¬", + "Ġim posing", + "Ġimp osing", + "ĠInformation en", + "_ flashdata", + "_flash data", + "e conomic", + "ec onomic", + "R emark", + "Re mark", + "Rem ark", + "u cas", + "uc as", + "Ġ Officers", + "ĠOff icers", + "ĠOffice rs", + "ĠOfficer s", + "Ġ TER", + "ĠT ER", + "ĠTE R", + "W alk", + "Wal k", + "Wa lk", + "Ġmerc ado", + "_ generate", + "_g enerate", + "_gen erate", + "_gene rate", + "_gener ate", + "H Y", + "C alling", + "Call ing", + "Cal ling", + "s nap", + "sn ap", + "script Id", + ". operation", + ".op eration", + ".o peration", + ".oper ation", + "ĠFl ame", + "ĠFla me", + "ĠFlam e", + "l iness", + "li ness", + "line ss", + "lin ess", + "lines s", + "Ġr ented", + "Ġren ted", + "Ġrent ed", + "_ toggle", + "_t oggle", + "- changing", + "-ch anging", + "-chan ging", + "Ġ TY", + "ĠT Y", + "' util", + "'u til", + "E EP", + "EE P", + "Ġ graphql", + "Ġgraph ql", + "Ġ Uni", + "ĠU ni", + "ĠUn i", + "Ġim pulse", + "Ġimp ulse", + "Ġimpuls e", + ". Basic", + ".B asic", + "Ġenerg ies", + "Ġener gies", + "Ġenergie s", + "M ARY", + "MA RY", + "MAR Y", + "ĠMar cel", + "ĠMarc el", + "Ġm ortal", + "Ġmor tal", + "Ġmort al", + "Ġf res", + "Ġfr es", + "Ġfre s", + "m ens", + "me ns", + "men s", + "m otion", + "mo tion", + "mot ion", + "Ġs ampled", + "Ġsample d", + "Ġsam pled", + "Ġsamp led", + "âĢľ That", + "i day", + "id ay", + "ida y", + "qu ipment", + "quip ment", + "get Int", + "Ġ Absolute", + "ĠA bsolute", + "ĠAbs olute", + ", '\"", + ",' \"", + "u ned", + "un ed", + "une d", + ". share", + ".s hare", + ".sh are", + ".sha re", + "Ġ })(", + "Ġ} )(", + "Ġ}) (", + "m mm", + "mm m", + "ĠR ising", + "ĠRi sing", + "ĠRis ing", + "ä» »", + "Ġun employed", + "x fa", + "xf a", + ". follow", + ".f ollow", + "ĉ ĉĉĉĠĠĠĠĠĠ", + "ĉĉ ĉĉĠĠĠĠĠĠ", + "ĉĉĉĉ ĠĠĠĠĠĠ", + "ĉĉĉ ĉĠĠĠĠĠĠ", + "ĉĉĉĉĠ ĠĠĠĠĠ", + "ĉĉĉĉĠĠĠ ĠĠĠ", + "ĉĉĉĉĠĠ ĠĠĠĠ", + "ĉĉĉĉĠĠĠĠ ĠĠ", + "ĉĉĉĉĠĠĠĠĠ Ġ", + "s lt", + "sl t", + ". Phone", + ".P hone", + ".Ph one", + "Ġkn ives", + "Ġ eve", + "Ġe ve", + "Ġev e", + "on Click", + "] ))čĊ", + "]) )čĊ", + "])) čĊ", + "Ġ Witness", + "ĠW itness", + "ĠWit ness", + "ĉ NS", + "ĉN S", + "Ġ EOS", + "ĠE OS", + "ĠEO S", + "ĠSte fan", + "ĠStef an", + "ĠPr iest", + "ĠPri est", + "âĢĶ which", + "Get String", + ". By", + ".B y", + "Ġup stairs", + "Ġdetr iment", + "b roken", + "br oken", + "bro ken", + "em bro", + "emb ro", + "embr o", + "Ġnic otine", + "i lion", + "il ion", + "ili on", + "ilio n", + "Ġaston ishing", + "_ aff", + "_a ff", + "_af f", + "Ġ Lesson", + "ĠL esson", + "ĠLe sson", + "ĠLess on", + "ĠLes son", + "Ġacc idental", + "Ġaccident al", + "od or", + "odo r", + "Ġde cir", + "Ġdec ir", + "Ġnew Name", + "+ .", + "çĽ ¸", + "igs list", + "Ġ Github", + "ĠG ithub", + "ĠGit hub", + "Ġsuccess ive", + "Ġsuc cessive", + "r acial", + "ra cial", + "rac ial", + "raci al", + "Ġen viron", + "Ġenv iron", + "Ġenvi ron", + "éªĮ è¯ģ", + "Ġred irected", + "Ġredirect ed", + "T OTAL", + "TOT AL", + "Ġgrab bing", + "Ġgra bbing", + "ĠL ance", + "ĠLa nce", + "ĠLan ce", + "ĠLanc e", + "Ġfor fe", + "_ CB", + "_C B", + "å¾ ®", + "El apsed", + "_ way", + "_w ay", + "(Dialog Interface", + "_ measure", + "_me asure", + "_meas ure", + "x bb", + "xb b", + "D og", + "Do g", + "De part", + "Dep art", + "- src", + "-s rc", + "re solver", + "res olver", + "resolve r", + "with standing", + "_ shell", + "_s hell", + "_sh ell", + "Ġ LastName", + "ĠLast Name", + "ĠAv iation", + "Ġbeg inner", + "Ġbegin ner", + "(\" %.", + "(\"% .", + "( tool", + "(t ool", + "(to ol", + "Ġ нов", + "Ġн ов", + "Ġно в", + ": init", + ":i nit", + "( API", + "(A PI", + "(AP I", + "ĠMorris on", + "ĠMorr ison", + "vt Color", + "Ġsta ple", + "Ġstap le", + "/ INFO", + "Ġsuper natural", + "Ġsupern atural", + "Ġste ak", + "t imeline", + "time line", + "tim eline", + "zz le", + "\" `ĊĊ", + "\"`Ċ Ċ", + "\"` ĊĊ", + "Second ary", + "ĠNe pal", + "ĠNep al", + ". StringUtils", + ".String Utils", + "Ġ adam", + "Ġa dam", + "Ġad am", + "Ġada m", + "Ġ (...", + "Ġ( ...", + "Ġ(. ..", + "Ġsub stitution", + "Ġsubstit ution", + "Ġsubst itution", + "Ġ boarding", + "Ġbo arding", + "Ġboard ing", + "Ġ Keyword", + "ĠKey word", + "ĠAss ault", + "dbc Template", + "Ġ orderId", + "Ġorder Id", + "( engine", + "(e ngine", + ".assert That", + "ĠV enus", + "ĠVen us", + "Ġhom icide", + "Ġhomic ide", + "ĠA val", + "ĠAv al", + "ĠAva l", + "Ġg utter", + "Ġgut ter", + "Ġ Supported", + "ĠS upported", + "ĠSup ported", + "ĠSupport ed", + "/ part", + "/p art", + "Ġac claimed", + "Ġacclaim ed", + "H istor", + "Hi stor", + "His tor", + "Hist or", + "Ġm eses", + "Ġme ses", + "Ġmes es", + "ü ber", + "üb er", + "ĠRe new", + "ĠRen ew", + "ĠRene w", + "Ġg ras", + "Ġgr as", + "Ġgra s", + "Ġ Ek", + "ĠE k", + "Ġ infile", + "Ġin file", + "Ġinf ile", + "in dy", + "ind y", + ". music", + ".m usic", + ".mu sic", + ". Scroll", + ".S croll", + ".Sc roll", + "ĠA ges", + "ĠAg es", + "ĠAge s", + "ĠNar uto", + "ĠG ather", + "ĠGa ther", + "ĠGat her", + "Ġconfirm ing", + "= (\"", + "=( \"", + "Ġp itched", + "Ġpitch ed", + "Ġpit ched", + "o ley", + "ol ey", + "ole y", + "F rance", + "Fr ance", + "Fran ce", + "Fra nce", + "Franc e", + "+ '\"", + "+' \"", + "$ total", + "$t otal", + "Ġ onde", + "Ġo nde", + "Ġon de", + "Ġd itch", + "Ġdit ch", + "_ sigma", + "_s igma", + "_sig ma", + "Ġcontin uity", + "Ġcontinu ity", + "r eward", + "re ward", + "rew ard", + "- load", + "-l oad", + "-lo ad", + "Ġpro ceso", + "Ġproc eso", + "Ġproces o", + "L ocked", + "Loc ked", + "Lock ed", + "st aw", + "sta w", + "Ġsp inal", + "Ġspin al", + "Ġspi nal", + "l azy", + "la zy", + "laz y", + "! ==", + "!= =", + "j est", + "je st", + "jes t", + "Ġd un", + "Ġdu n", + "ĠRod gers", + "ĉ grid", + "ĉg rid", + "ĉgr id", + "Ġlo gos", + "Ġlog os", + "Ġlogo s", + "ĠBen gal", + "ĠBeng al", + ". super", + ".s uper", + ".sup er", + "Pro vides", + "Provid es", + "Provide s", + "Prov ides", + "Ġnut rient", + ". Timestamp", + ".T imestamp", + ".Time stamp", + "IZ ATION", + "åĨ Į", + "Ġf ats", + "Ġfa ts", + "Ġfat s", + "ĠX xx", + "c tica", + "ct ica", + "ctic a", + "Target s", + "Tar gets", + "Ġcont ours", + "Ġcontour s", + "Ġre ordered", + "Ġreorder ed", + ": Array", + ":A rray", + "Ġtoler ate", + "Ġtol erate", + "V ir", + "Vi r", + "Ġter ribly", + "Ġterr ibly", + "Ġb ricks", + "Ġbr icks", + "Ġbrick s", + "Ġbri cks", + "( &_", + "(& _", + "h b", + "P ortal", + "Port al", + "Por tal", + "ĠB read", + "ĠBr ead", + "ĠBre ad", + ". which", + ".wh ich", + "ÂŃ t", + "as InstanceOf", + "Ġj object", + "Ġjob ject", + "Ġjo bject", + "ĉ length", + "ĉl ength", + "ĉlen gth", + "_ MT", + "_M T", + "; \">čĊ", + ";\" >čĊ", + ";\"> čĊ", + "_ EXIST", + "_EX IST", + "Ġmat ernal", + "Ġma ternal", + "Ġmater nal", + "R EL", + "RE L", + "Ġê²½ ìļ°", + "h ee", + "he e", + "Ġ layouts", + "Ġlayout s", + "Ġlay outs", + "ĠL ap", + "ĠLa p", + "a isy", + "ai sy", + "ais y", + "Ġst umbled", + "Ġstumble d", + "ĠU IG", + "ĠUI G", + "ĠS co", + "ĠSc o", + "Ġim paired", + "Ġimp aired", + "Ġimpair ed", + "RES SED", + "RESS ED", + "Ġab uses", + "Ġabuse s", + "V F", + "A RB", + "AR B", + ". NAME", + ".N AME", + "r ch", + "rc h", + "pr imir", + "prim ir", + "pri mir", + "_ completed", + "_com pleted", + "_comp leted", + "_complete d", + "Ġp enny", + "Ġpen ny", + "Ġpenn y", + "Ch rome", + "Chr ome", + "( begin", + "(b egin", + "(be gin", + "er nen", + "ern en", + "erne n", + "- checkbox", + "-check box", + "Plain OldData", + "ĠL PC", + "ĠLP C", + "r ade", + "ra de", + "rad e", + "s pir", + "sp ir", + "spi r", + "Ġcon ceived", + "Ġconce ived", + "Ġconceive d", + "T ips", + "Tip s", + "Ti ps", + "ĠIo T", + "ĠG an", + "ĠGa n", + "èģ Ķ", + "Ġbi ases", + "Ġbias es", + "Ġconsult ants", + "Ġconsultant s", + "Ġconsulta nts", + "p led", + "pl ed", + "ple d", + "_ ht", + "_h t", + "associ ated", + "assoc iated", + "associate d", + "] ,ĊĊ", + "], ĊĊ", + "],Ċ Ċ", + "Ġdelight ful", + "ĠÑĤ ек", + "ĠÑĤе к", + "Hel vetica", + "( load", + "(l oad", + "(lo ad", + "- expand", + "-exp and", + "_W IDGET", + "t oa", + "to a", + "Ġ Akt", + "ĠA kt", + "ĠAk t", + "Ġo mn", + "Ġom n", + "Ġcl auses", + "Ġclause s", + "Ġcla uses", + "In tel", + "Int el", + "*/ }Ċ", + "_ registration", + "_reg istration", + "Ġold Value", + "Ġrest oring", + "Ġresto ring", + "Ġun real", + "Ġunre al", + "O VER", + "OVE R", + "OV ER", + "ĉĊ ĉĊĉĊ", + "ĉĊĉĊ ĉĊ", + "A TS", + "AT S", + "_ probe", + "_p robe", + "_pro be", + "_pr obe", + "_prob e", + "Ġdi visor", + "Ġdiv isor", + "Ġdivis or", + ".update Dynamic", + "å¹ ³", + "Produ ces", + "Prod uces", + "st amp", + "sta mp", + ".j boss", + "ĉ task", + "ĉt ask", + "! (:", + "!( :", + "Ġpsych ic", + "@ class", + "@c lass", + "M artin", + "Mar tin", + "Mart in", + "Ġ Passed", + "ĠP assed", + "ĠPass ed", + "ĠPas sed", + "clar ations", + "claration s", + "h el", + "he l", + "а Ñĩ", + "ĉ copy", + "ĉc opy", + "- bin", + "-b in", + "z an", + "za n", + "i gram", + "ig ram", + "igr am", + "া à¦", + "( sig", + "(s ig", + "(si g", + "ĠC aval", + "ĠCa val", + "ĠCav al", + "_ ##", + "Ġ %=", + "Ġ% =", + "out lined", + "outline d", + "ĠA cid", + "ĠAc id", + "Ġunpredict able", + "- dashboard", + "-d ashboard", + "Hex String", + "+ c", + ". Public", + ".P ublic", + "Ạ©", + "Ġcon veyor", + "Ġconvey or", + "Ġ EB", + "ĠE B", + "Ġselect s", + "Ġsel ects", + "Ġsele cts", + "Ġkn ocking", + "Ġknock ing", + "ĠC ec", + "ĠCe c", + "IB UTES", + "IBUT ES", + "IBUTE S", + "ow aÄĩ", + "owa Äĩ", + "g atsby", + "* v", + "ent ropy", + "entr opy", + "Ġdispatch ed", + "Ġdisp atched", + "Ġ camel", + "Ġc amel", + "Ġca mel", + "Ġcame l", + "Ġcam el", + "ĠSat urn", + "ĠSa turn", + "Ġover weight", + "( phone", + "(p hone", + "(ph one", + "par able", + "para ble", + "% B", + "_v ectors", + "_vector s", + "_vec tors", + "_vect ors", + "_ve ctors", + "Ġbr ewing", + "Ġbre wing", + "Ġbrew ing", + "Ġ Tk", + "ĠT k", + "Ġ Downloads", + "ĠDown loads", + "ĠDownload s", + "Ġ Saved", + "ĠS aved", + "ĠSave d", + "ĠSa ved", + "ĠSav ed", + ". Price", + ".P rice", + ".Pr ice", + "Ġc urved", + "Ġcur ved", + "Ġcurve d", + "ĠParent hood", + "ĠParen thood", + "è ¶", + ".p nl", + "plete ly", + "plet ely", + ". Day", + ".D ay", + "Ġadvert isers", + "Ġadvertis ers", + "Ġadvertise rs", + "Ġadvertiser s", + "Ġe jec", + "Ġej ec", + "Ġpr zed", + "Ġprz ed", + "Ġprze d", + "ë ¯", + "! ';Ċ", + "!' ;Ċ", + "ĠK ush", + "ĠKu sh", + "Ġ TAB", + "ĠT AB", + "ĠTA B", + "Ġ quests", + "Ġqu ests", + "Ġque sts", + "Ġquest s", + "Ġques ts", + "Ġcoinc idence", + "Ġcoincide nce", + "umm ies", + "ĠKash mir", + "ĠEth ics", + "ĠEthi cs", + "_ growth", + "_g rowth", + "Ġ aktiv", + "Ġak tiv", + "Ġakt iv", + "Ġgroup ing", + "Ġgrou ping", + "å¢ ŀ", + "_ truth", + "_tr uth", + "åIJ ¬", + "t odos", + "to dos", + "todo s", + "tod os", + "i set", + "is et", + "ise t", + "Tex Coord", + "ä tt", + "ät t", + "ĠZ ur", + "ĠZu r", + "ro ys", + "roy s", + "_M AGIC", + "_MAG IC", + "Ġbrew ery", + "( State", + "ĠSM ALL", + "ĠSMA LL", + "ĠPl ants", + "ĠPlan ts", + "ĠPlant s", + "ĠPla nts", + "it bart", + "e acher", + "each er", + "ea cher", + "ĠAd elaide", + "L u", + "Ġf ick", + "Ġfi ck", + "Ġfic k", + "und les", + "undle s", + "_ loaded", + "_lo aded", + "_load ed", + "и е", + "P oll", + "Pol l", + "Po ll", + "r itic", + "ri tic", + "rit ic", + "E LY", + "EL Y", + "Ġ +'", + "Ġ+ '", + "ĠProf ession", + "Ġst amps", + "Ġstamp s", + "Ġsta mps", + "ĠS ew", + "ĠSe w", + "s crollView", + "scroll View", + "Ġcomm unist", + "Ġcommun ist", + "/ problems", + "/pro blems", + "/problem s", + "} čĊčĊčĊčĊ", + "}čĊ čĊčĊčĊ", + "}čĊčĊ čĊčĊ", + "}čĊčĊčĊ čĊ", + ", o", + "Ġ udp", + "Ġu dp", + "Ġud p", + "Ġob ese", + "Ġobe se", + "ap prove", + "app rove", + "appro ve", + "anc ellation", + "ancel lation", + "ancell ation", + "_ Game", + "_G ame", + "Ġ Hashtable", + "ĠHash table", + "ĠHas htable", + "adaptive Styles", + "Ġposs esses", + "Ġpossess es", + ". matcher", + ".m atcher", + ".match er", + ".mat cher", + "function al", + "M rs", + "Mr s", + "ĉ save", + "ĉs ave", + "Ġ DbType", + "ĠDb Type", + "Ġ ken", + "Ġk en", + "Ġke n", + "get Context", + "Ġ mans", + "Ġm ans", + "Ġman s", + "Ġma ns", + "( rel", + "(r el", + "(re l", + "ĠBrother hood", + ") `Ċ", + ")` Ċ", + "è§ £", + ". Information", + ".In formation", + "OutOfRange Exception", + "ĠS ek", + "ĠSe k", + "C as", + "Ca s", + "Ġblog gers", + "Ġblogger s", + "E ither", + "( \"\"\"", + "(\" \"\"", + "(\"\" \"", + "Ġp inch", + "Ġpin ch", + "Ġco arse", + ") p", + "ĠP ulse", + "ĠPu lse", + "ĠPul se", + "Ġlearn t", + "Ġlear nt", + "Ġdent ist", + "Ġon change", + "Ġdirect ives", + "Ġdirective s", + "( actions", + "(a ctions", + "(action s", + "(act ions", + "ny der", + "ĠS hir", + "ĠSh ir", + "ĠShi r", + "T rait", + "Tr ait", + "Tra it", + "_ dep", + "_d ep", + "_de p", + "Ġ PET", + "ĠP ET", + "ĠPE T", + "Ġ REP", + "ĠR EP", + "ĠRE P", + ".App Settings", + "cu ador", + "ide nav", + "iden av", + "Ġen vi", + "Ġenv i", + "Ġsl ammed", + "Ġslam med", + "Ġ Shoot", + "ĠS hoot", + "ĠSh oot", + "ĠSho ot", + "Ġ dateFormat", + "Ġdate Format", + ".j oda", + "ve ys", + "vey s", + "Ġ ).ĊĊ", + "Ġ) .ĊĊ", + "Ġ). ĊĊ", + "Ġ).Ċ Ċ", + "Ġcar eg", + "Ġca reg", + "Ġcare g", + "Ġ Parallel", + "ĠPar allel", + "_ translation", + "_trans lation", + ". functions", + ".function s", + ".fun ctions", + ". obs", + ".o bs", + ".ob s", + "Runtime Exception", + "[ ]=", + "[] =", + "ov erview", + "over view", + "ĠS chl", + "ĠSc hl", + "ĠSch l", + "Ġno isy", + "Ġnoi sy", + "ĠOn PropertyChanged", + "S ending", + "Send ing", + "Sen ding", + "Ġunf amiliar", + "U pon", + "Up on", + "ĠPr ints", + "ĠPrint s", + "ĠPri nts", + ". typ", + ".t yp", + "Ġfle eing", + "Ġflee ing", + "ĉ move", + "ĉm ove", + "ĉmov e", + "( Un", + "(U n", + "Ġ qr", + "Ġq r", + "× ľ", + "_ beta", + "_b eta", + "_be ta", + "_bet a", + "Ġsk ies", + "Ġski es", + "ĉ me", + "ĉm e", + "W ND", + "WN D", + "Ġst ickers", + "Ġstick ers", + "Ġsticker s", + "b las", + "bl as", + "bla s", + "Ġins erts", + "Ġinsert s", + "Ġinser ts", + "Ġinse rts", + "Ġver ses", + "Ġvers es", + "Ġverse s", + "ĠD ew", + "ĠDe w", + "Ġt angible", + "Ġtang ible", + "Ġh echo", + "Ġhe cho", + "P OL", + "PO L", + "Ġte ardown", + "Ġtear down", + "om nia", + "I BE", + "IB E", + ". cover", + ".c over", + ".co ver", + "_ strategy", + "_str ategy", + "^ -", + "set Position", + "u ale", + "ual e", + "ua le", + "S igned", + "Sign ed", + "Sig ned", + "Ġ iface", + "Ġif ace", + "Ġi face", + "as eline", + "ase line", + "asel ine", + ".set Time", + "ĠMin eral", + "ĠMine ral", + "ĠMiner al", + "ĠF ighting", + "ĠFight ing", + "s kins", + "sk ins", + "ski ns", + "skin s", + "Ġdiscrim in", + "Ġd ansk", + "Ġdans k", + "Ġdan sk", + "ĠPr inceton", + "ĠPrince ton", + "ac ist", + "aci st", + "Ġ ());Ċ", + "Ġ( ));Ċ", + "Ġ() );Ċ", + "Ġ()) ;Ċ", + "tr acks", + "tra cks", + "track s", + "imon ial", + "a decimal", + "ad ecimal", + "ade cimal", + "EP ROM", + "ug gle", + "ugg le", + ". Notification", + ".Not ification", + "$ mail", + "$m ail", + "c antidad", + "cant idad", + "ĠJ ung", + "ĠJun g", + "ĠJu ng", + "Ġsee kers", + "Ġseek ers", + "Ġseeker s", + "Ġpl ausible", + "t ier", + "ti er", + "tie r", + "е ж", + "еР¶", + "Ġ rapper", + "Ġr apper", + "Ġrap per", + "Ġra pper", + "Ġrapp er", + "Ġ Mana", + "ĠM ana", + "ĠMan a", + "ĠMa na", + "ĠHttp StatusCode", + "ĠHttpStatus Code", + "Ġbur nt", + "Ġburn t", + "l oses", + "lo ses", + "lose s", + "los es", + "Ġ Foto", + "ĠF oto", + "ĠFo to", + "ĠFot o", + "Ġ JsonObject", + "ĠJson Object", + "In stagram", + "Inst agram", + "Ġ syscall", + "Ġsys call", + "Ġreal ities", + "ĠMAT LAB", + ":^ {Ċ", + "T ERM", + "TE RM", + "TER M", + "ĠC bd", + "Ġ Paragraph", + "ĠPar agraph", + "ĠPara graph", + "Ġtrav és", + "Ġconstruct ing", + "Ġs wal", + "Ġsw al", + "Ġp ige", + "Ġpi ge", + "Ġpig e", + "L LLL", + "LL LL", + "LLL L", + "- existing", + "-ex isting", + "G ets", + "Get s", + "Ge ts", + "Ġmel ted", + "Ġmelt ed", + "Ġmit igate", + "Ġmitig ate", + "H en", + "He n", + "Ġ hm", + "Ġh m", + "i mas", + "im as", + "ima s", + "Ġ Ao", + "ĠA o", + "ĠP erez", + "ĠPer ez", + "ĠPe rez", + "ĠPere z", + "Ġ DAL", + "ĠD AL", + "ĠDA L", + "Ġ ëĭ¤", + "Ġëĭ ¤", + "Ġdi vis", + "Ġdiv is", + "Storyboard Segue", + "Ġ Modify", + "ĠMod ify", + "ĠModi fy", + "ĠÃľ ber", + "_O VERRIDE", + ".p em", + ".pe m", + "un tos", + "unt os", + "unto s", + "Ġesp añ", + "Ġespa ñ", + "Ġ{ ?", + "Ġ PAY", + "ĠP AY", + "ĠPA Y", + "_ ipv", + "_i pv", + "_ip v", + "ĠF ury", + "ĠFu ry", + "ĠFur y", + "__ .__", + "__. __", + "e low", + "el ow", + "elo w", + "-c entered", + "-center ed", + "-cent ered", + "che cks", + "check s", + "_ Reg", + "_R eg", + "_Re g", + "-J avadoc", + "ĉ load", + "ĉl oad", + "ĠLike wise", + "ĠLik ewise", + "ا Ùħ", + "ا٠ħ", + "U NE", + "UN E", + ". sem", + ".s em", + ".se m", + "x cb", + "xc b", + "ĠC ave", + "ĠCa ve", + "ĠCav e", + "_ sleep", + "_s leep", + "Ġsil ently", + "Ġsilent ly", + "Ġ Extreme", + "ĠExt reme", + "ĠExtr eme", + ". ToUpper", + ".To Upper", + "ĉ CHECK", + "ĉC HECK", + "Ġ cue", + "Ġc ue", + "Ġcu e", + "ĠQ ByteArray", + "Ġcor rupted", + "Ġcorrupt ed", + "Ġ Dé", + "ĠD é", + "Ġim ped", + "Ġimp ed", + "Ġimpe d", + "Get Name", + "Ġinaccur ate", + "Ġs ober", + "Ġso ber", + "Ġsob er", + "е е", + "еРµ", + "Ġ barcode", + "Ġbar code", + "Ġba rcode", + "-- ){Ċ", + "--) {Ċ", + "in ki", + "ink i", + "Ġ ép", + "Ġé p", + "Ġd ri", + "Ġdr i", + "Ġ ALT", + "ĠA LT", + "ĠAL T", + "> >>>>>>>", + ">>>> >>>>", + ">>>>>>> >", + "on ta", + "ont a", + "[ L", + "Ġint eres", + "Ġinter es", + "Ġinte res", + "ver ting", + "vert ing", + "Ġd iagnostics", + "Ġdi agnostics", + "Ġdiagnostic s", + "p dev", + "pd ev", + "è ©", + "Ġ Integrated", + "ĠInt egrated", + "ĠIntegr ated", + ") .'", + "). '", + "_ gc", + "_g c", + "$ text", + "$t ext", + ". games", + ".g ames", + ".game s", + ".ga mes", + "ĠT erra", + "ĠTer ra", + "ĠTerr a", + "' Re", + "'R e", + ". transfer", + ".trans fer", + "_F IFO", + "get Model", + "Ġb land", + "Ġbl and", + "Ġbla nd", + "ĠCol eman", + "ĠCole man", + "Ġpr imes", + "Ġprim es", + "Ġprime s", + "Ġpri mes", + "Ġ æĪ", + "Ġæ Ī", + "Ġcross es", + "n k", + "G ING", + "GIN G", + "GI NG", + "Ġ '^", + "Ġ' ^", + "Ġ Blob", + "ĠB lob", + "ĠBl ob", + "ĠBlo b", + "Ġinter course", + "ĠBl vd", + "Ġweigh s", + "_ regular", + "_reg ular", + "ĠPer th", + "ĠPert h", + "Ġsepar ating", + "Ġseparat ing", + "Ġb illed", + "Ġbill ed", + "Ġbil led", + ".tab Control", + "Ġp uppet", + "Ġpup pet", + "Ġutil ization", + "Ġutiliz ation", + "Ġutiliza tion", + "Ġ âĸł", + "Ġâĸ ł", + "Ġsuc ces", + "Ġsucc es", + "Ġl amps", + "Ġla mps", + "Ġlamp s", + "Ġlam ps", + "_ proj", + "_p roj", + "_pro j", + "_pr oj", + "E ric", + "Er ic", + "Ġre novation", + "Ġren ovation", + "Ġrenov ation", + "ĠF amilies", + "ĠFam ilies", + "ĠFamil ies", + "ĠFamilie s", + "Ġ Bits", + "ĠB its", + "ĠBit s", + "ĠBi ts", + "part ials", + "partial s", + "- Men", + "-M en", + "s olution", + "sol ution", + "Ġd warf", + "Ġdw arf", + "Ġdwar f", + ". INTEGER", + ".IN TEGER", + "Ġ LOCK", + "ĠL OCK", + "ĠLO CK", + "ĠLOC K", + ". ct", + ".c t", + "Ġ excerpt", + "Ġex cerpt", + "Ġexcer pt", + "Ġ Pix", + "ĠP ix", + "ĠPi x", + "Ġ FirstName", + "ĠFirst Name", + "AN TED", + "ANT ED", + "ANTE D", + "ĠAd mir", + "- help", + "-h elp", + "-he lp", + "P rior", + "Pr ior", + "Pri or", + "Ġ Align", + "ĠAl ign", + "ĠAli gn", + ". INSTANCE", + ".IN STANCE", + "Line Edit", + "(' /:", + "('/ :", + "Ġ inet", + "Ġin et", + "Ġi net", + "Ġine t", + "od us", + "odu s", + ".p kl", + ".pk l", + "Ġ KY", + "ĠK Y", + "u pert", + "up ert", + "uper t", + "upe rt", + "Ġn erves", + "Ġnerv es", + "Ġnerve s", + "Ġner ves", + "_ gradient", + "_g radient", + "_grad ient", + "} ','", + "}' ,'", + "}', '", + "_un ref", + "Ġs aturated", + "Ġsatu rated", + "Ġsatur ated", + "Ġ Connected", + "ĠConnect ed", + "ĠConn ected", + "Ġ FN", + "ĠF N", + "EX IT", + "Ġtele port", + "Ġav ait", + "Ġava it", + "Page Route", + "Ġdivorce d", + "Ġdivor ced", + "( lang", + "(l ang", + "f st", + "fs t", + "ĠT yr", + "ĠTy r", + "Ġm essenger", + "Ġmess enger", + "i fstream", + "if stream", + "X S", + "ĠB anking", + "ĠBank ing", + "ĠBan king", + "Ġinfect ious", + "ĠM ons", + "ĠMon s", + "ĠMo ns", + "_ LOOP", + "_LO OP", + "Ġzur ück", + "Ġob tener", + "Ġobt ener", + "Ġobten er", + "/ repos", + "/re pos", + "V el", + "Ve l", + "a cro", + "ac ro", + "acr o", + "Ġ userRepository", + "Ġuser Repository", + "style Type", + "Ġ SRC", + "ĠS RC", + "ĠSR C", + "VML INUX", + "rec ursive", + "/ bar", + "/b ar", + "_ chip", + "_c hip", + "_ch ip", + "_chi p", + "o minated", + "om inated", + "omin ated", + "Ġ Nit", + "ĠN it", + "ĠNi t", + "âĢĶ to", + "ĠBudd h", + "ĠBud dh", + "о меÑĢ", + "ом еÑĢ", + "ĠM AG", + "ĠMA G", + "Ġ CHE", + "ĠC HE", + "ĠCH E", + "_ den", + "_d en", + "_de n", + ". raises", + ".r aises", + ".raise s", + ".ra ises", + "_ degree", + "_d egree", + "_de gree", + "_deg ree", + "Ġpump kin", + "_ templates", + "_t emplates", + "_template s", + "_temp lates", + "_tem plates", + "_ MEDIA", + "_M EDIA", + "_MED IA", + "Ġ Timeline", + "ĠT imeline", + "ĠTime line", + "ĠTim eline", + "Ġ bots", + "Ġb ots", + "Ġbo ts", + "Ġbot s", + "Object Type", + "Ġbu ys", + "Ġbuy s", + ". posts", + ".post s", + ".pos ts", + ".po sts", + "C AL", + "CA L", + "wa iting", + "wait ing", + "ĠDaniel s", + "ĠDani els", + "Ġd abei", + "Ġda bei", + "Ġdab ei", + "Ġ Sigma", + "ĠS igma", + "ĠSig ma", + "i lor", + "il or", + "ilo r", + "i gel", + "ig el", + "ige l", + ", W", + "A DS", + "AD S", + "( panel", + "(p anel", + "(pa nel", + "ì² ´", + "it ating", + "ita ting", + "itat ing", + ". palette", + ".p alette", + ".pa lette", + "Ġmos quito", + "Ġt ego", + "Ġte go", + "Ġteg o", + "( parseInt", + "(parse Int", + "Ġdes pués", + "p romise", + "pro mise", + "prom ise", + "Ġ wij", + "Ġw ij", + "Ġwi j", + "type script", + "types cript", + "Ġ Tv", + "ĠT v", + "_IDENT IFIER", + ") .ĊĊĊ", + "). ĊĊĊ", + ").ĊĊ Ċ", + ").Ċ ĊĊ", + "_ flat", + "_f lat", + "_fl at", + "it su", + "its u", + "U SR", + "US R", + "ex perience", + "- fit", + "-f it", + "-fi t", + "ph inx", + "phi nx", + "phin x", + "_ thresh", + "_th resh", + "_thr esh", + "Ġide ally", + "Ġideal ly", + "ĠFree man", + "ĠFre eman", + "ĠFreem an", + ", DB", + ",D B", + "_ rw", + "_r w", + "çŃ ī", + "U b", + "_ statistics", + "_stat istics", + "=\" \"><", + "=\"\" ><", + "=\"\"> <", + "Ġch ore", + "Ġcho re", + "Ġchor e", + "Ġy ork", + "Ġyo rk", + "inst alled", + "install ed", + "Add itionally", + "Additional ly", + "Ġp stmt", + "Ġpst mt", + "yl ko", + ": :Ċ", + ":: Ċ", + "F orest", + "For est", + "Fore st", + "Fo rest", + "Ġhead set", + "Ġheads et", + "Ġg allon", + "Ġgal lon", + "Ġgall on", + "ÑĢ ем", + "ÑĢе м", + "Ġwithdraw n", + "Ġwithd rawn", + "Ġ Candidate", + "ĠC andidate", + "ĠCandid ate", + "Ġmel ting", + "Ġmelt ing", + "Ġfree zer", + "Ġfreeze r", + "Ġ hl", + "Ġh l", + "_ HELP", + "_HE LP", + "_HEL P", + "m ime", + "mi me", + "( /*", + "(/ *", + "Ġth irst", + "Ġthi rst", + "$ return", + "$r eturn", + "$ret urn", + "member of", + "е б", + "еР±", + "Ġ HttpServletRequest", + "ĠHttp ServletRequest", + "ĠHttpServlet Request", + "( ob", + "(o b", + "_ Result", + "_Res ult", + "Ġassert ed", + "Ġfulfill ing", + "Ġfulfil ling", + "Ġstretch es", + "Ġstret ches", + "par ated", + "pa rated", + "para ted", + "parate d", + "-f unded", + "Ġ åĽ", + "Ġå Ľ", + "in gles", + "ing les", + "ingle s", + "_ ca", + "_c a", + ". condition", + ".con dition", + ".cond ition", + "Ġ Displays", + "ĠDis plays", + "ĠDisplay s", + "ĠDisp lays", + "Ġ orang", + "Ġo rang", + "Ġor ang", + "Ġora ng", + "Ġoran g", + "Ġ CRE", + "ĠC RE", + "ĠCR E", + "Ġgl Bind", + "Ġ Selector", + "ĠSe lector", + "ĠSelect or", + "ĠSel ector", + "ĠSele ctor", + "/ type", + "/t ype", + "ĠAlex a", + "ĠAle xa", + "ched ules", + "chedule s", + "ĠPen insula", + "Ġ parity", + "Ġp arity", + "Ġpar ity", + "Ġpari ty", + "ĉ dest", + "ĉd est", + "ĉdes t", + "ĉde st", + "ĠDo ors", + "ĠDoor s", + "čĊ ĉčĊ", + "_ dimension", + "_d imension", + "_dim ension", + "Ġ aload", + "Ġa load", + "Ġal oad", + "Ġalo ad", + ".St oredProcedure", + "( paren", + "(p aren", + "(par en", + "(pa ren", + "ĠBur ke", + "ĠBurk e", + "' )]Ċ", + "') ]Ċ", + "')] Ċ", + "- engine", + "-e ngine", + "-eng ine", + "Ġ quir", + "Ġqu ir", + "Ġq uir", + "Ġqui r", + "ĠH ybrid", + "ĠHy brid", + "ĠD oe", + "ĠDo e", + "Ġout lines", + "Ġoutline s", + "ĠT rends", + "ĠTr ends", + "ĠTre nds", + "ĠTrend s", + "_ NV", + "_N V", + "per iments", + "periment s", + "peri ments", + "ĠH in", + "ĠHi n", + "? ',", + "?' ,", + "ĉ Text", + "ĉT ext", + "F UL", + "FU L", + "Ġsm ells", + "Ġsmell s", + "Ġ slick", + "Ġs lick", + "Ġsl ick", + "Ġslic k", + "Ġmis erable", + "Ġmiser able", + "ĠArray Adapter", + "Ġparam String", + "H om", + "Ho m", + "_l iterals", + "_literal s", + "_lit erals", + "us uarios", + "usuario s", + "usu arios", + "Ġprompt ing", + "_ lazy", + "_l azy", + "_la zy", + "Ġ Activation", + "ĠAct ivation", + "ĠActiv ation", + "_ oc", + "_o c", + "We ak", + "Ġan ecd", + "ĠU CLA", + "ĠUC LA", + "= re", + "=r e", + "iss ement", + "isse ment", + "ĠEsc orts", + "ĠEscort s", + "Ex cellent", + "Ġ Pause", + "ĠP ause", + "ĠPa use", + "Ġ repositories", + "Ġre positories", + "Ġrepos itories", + "T OR", + "TO R", + "ar iate", + "ari ate", + "aria te", + "ariat e", + "_ iso", + "_i so", + "_is o", + "up dates", + "update s", + "upd ates", + "ha lb", + "hal b", + "udi ante", + "udiant e", + "ë¡ Ŀ", + "Ġna ive", + "ĠP eg", + "ĠPe g", + "ĠL ounge", + "ĠLo unge", + "ĠLou nge", + "AR GIN", + "ARG IN", + "( bin", + "(b in", + "On ClickListener", + "OnClick Listener", + "Ġ FAILED", + "ĠFA ILED", + "ĠFAIL ED", + "Ġ lite", + "Ġl ite", + "Ġli te", + "Ġlit e", + "Ġd zie", + "Ġdz ie", + "Ġdzi e", + "Ġ Literal", + "ĠL iteral", + "ĠLiter al", + "ĠLit eral", + "ĠLite ral", + "i vor", + "iv or", + "ivo r", + "f cntl", + "fc ntl", + "fcn tl", + "Ġe ats", + "Ġeat s", + "Ġea ts", + "Ġ qed", + "Ġq ed", + "Un lock", + "r iding", + "ri ding", + "rid ing", + "und ai", + "unda i", + "= M", + "AT TER", + "ATT ER", + "Configure Await", + "ic ias", + "ici as", + "icia s", + "ust omed", + "ustom ed", + "usto med", + "Ġsuccess ion", + "Ġsuc cession", + "Ġsucc ession", + "end Time", + "ĠJ upiter", + "Ġj udging", + "Ġjud ging", + "d ration", + "dr ation", + "dra tion", + "_ docs", + "_d ocs", + "_doc s", + "_do cs", + ". mo", + ".m o", + "Ġeduc ators", + "Ġeducator s", + "ĠV ine", + "ĠVi ne", + "ĠVin e", + "C ond", + "Con d", + "Co nd", + "[ out", + "[o ut", + "q b", + "\\ Validator", + "Ġmean ings", + "Ġmeaning s", + "Ġpres ently", + "Ġpresent ly", + "Ġdiv iding", + "Ġdivid ing", + "otten ham", + "as cular", + "asc ular", + "Ġtrail ers", + "Ġtra ilers", + "Ġtrailer s", + "Ġtrai lers", + "Ġ CLOSE", + "ĠC LOSE", + "ĠCL OSE", + "а ми", + "ам и", + "âĢĻ ai", + "âĢĻa i", + "Ġ Gain", + "ĠG ain", + "ĠGa in", + "w or", + "wo r", + "Ġpl anner", + "Ġplan ner", + "Ġdistrib uting", + "v at", + "va t", + "mon ths", + "month s", + "mont hs", + "x label", + "xl abel", + "H F", + "V iol", + "Vi ol", + ".BASE LINE", + "еÑĤ ÑģÑı", + "Ġ Rotate", + "ĠR otate", + "ĠRot ate", + "Ġ txn", + "Ġt xn", + "Ġtx n", + ": bold", + ":b old", + "Ġb loss", + "Ġbl oss", + "Ġblo ss", + "Forg ery", + "Forge ry", + "( embed", + "(em bed", + "Ġj ako", + "Ġja ko", + "Ġjak o", + "s printf", + "the ir", + "Ġexhib its", + "Ġexhibit s", + "- static", + "-st atic", + "-stat ic", + "he cy", + "hec y", + "get ActiveSheet", + ". clients", + ".c lients", + ".client s", + ".cl ients", + ".cli ents", + "ãģ į", + "_ hide", + "_h ide", + "_hi de", + "_hid e", + "[ word", + "[w ord", + "C b", + "add Item", + "a xe", + "ax e", + "_ radio", + "_r adio", + "_rad io", + "_ra dio", + "_radi o", + "a lion", + "al ion", + "ali on", + "mod ifier", + "Ġsat uration", + "Ġsatu ration", + "Ġsatur ation", + "Ġde nom", + "Ġden om", + "_ pixels", + "_p ixels", + "_pixel s", + "_pix els", + "m ess", + "me ss", + "mes s", + "( fl", + "(f l", + "a tif", + "at if", + "ati f", + "Ġ secs", + "Ġs ecs", + "Ġse cs", + "Ġsec s", + "Ġpro stitution", + "Ġprostit ution", + "Ġprost itution", + "Ġprostitu tion", + "Ġprostitut ion", + "Ġgrand children", + "Ġparad ise", + "ĠF eld", + "ĠFe ld", + "ĠFel d", + "_B INARY", + "_BIN ARY", + "it ous", + "ito us", + "itou s", + "à ¹Ħ", + "๠Ħ", + "Ġfl ashing", + "Ġflash ing", + "-s ided", + "-side d", + "Ġcontrad iction", + "Ġcontradict ion", + "/ *ĊĊ", + "/* ĊĊ", + "/*Ċ Ċ", + "y label", + "yl abel", + "yla bel", + "ĠT et", + "ĠTe t", + "Ġadm ire", + "Ġadmir e", + "r eso", + "re so", + "res o", + "Ġl etz", + "Ġle tz", + "Ġlet z", + "Ġ SEARCH", + "ĠSE ARCH", + "s lots", + "sl ots", + "slot s", + "ĠRe wards", + "ĠRew ards", + "ĠReward s", + "ĠH og", + "ĠHo g", + "Ġ NSData", + "ĠNS Data", + "st ash", + "sta sh", + "F all", + "Fa ll", + "Fal l", + "ĠA mer", + "ĠAm er", + "Line arLayout", + "Linear Layout", + "/ photos", + "/photo s", + "/ph otos", + "Ġfe ather", + "Ġfeat her", + "Ġ |čĊ", + "Ġ| čĊ", + "Down loads", + "Download s", + ".Start sWith", + "Ġ //#", + "Ġ// #", + "Ġ/ /#", + "ine Transform", + "Ġaff id", + "Ġaf fid", + "V tbl", + "ĠR ogue", + "ĠRo gue", + "ĠRog ue", + "s cribed", + "scribe d", + "scri bed", + "Ġf auc", + "Ġfa uc", + "ĠMon roe", + "Ġdecl ares", + "Ġdeclar es", + "Ġdeclare s", + "mod ern", + "mode rn", + "r eon", + "re on", + "reo n", + "ay be", + "P ASS", + "PA SS", + "f ers", + "fer s", + "fe rs", + "_MULT I", + "_MUL TI", + "ĠMath ematics", + "ĠMathematic s", + "Ġsud ah", + "_ATT ACH", + "Ġnumber With", + "ĠSol omon", + "ĠSolo mon", + "j in", + "ji n", + "ograf ia", + "ogr afia", + "ö l", + "_ design", + "_d esign", + "_de sign", + "_des ign", + "c ulated", + "cul ated", + "culate d", + "cu lated", + "ĠL una", + "ĠLu na", + "ĠLun a", + "i esz", + "ies z", + "ie sz", + "Ġ =>'", + "Ġ= >'", + "Ġ=> '", + "Ġreve lations", + "Ġrevel ations", + "Ġrevelation s", + "A long", + "Al ong", + "( ed", + "(e d", + "Ġ Filename", + "ĠF ilename", + "ĠFile name", + "ĠFil ename", + "ĠFi lename", + "Ġ ylabel", + "Ġy label", + "S ecure", + "Sec ure", + "Ġbus ca", + "Ġbusc a", + "ag nosis", + "agn osis", + "_RE CE", + "_REC E", + "Ġover lapping", + "Ġoverlap ping", + "Ġoverl apping", + "Ex tent", + "Ext ent", + "Ġant icipation", + "Ġanticip ation", + "Ġantic ipation", + "Check s", + "Che cks", + "ĠAL SO", + "ĠALS O", + "o rc", + "or c", + "iling ual", + "it ational", + "itation al", + "itat ional", + "Ġadv ancement", + "Ġadvance ment", + "o uro", + "ou ro", + "our o", + "Ġ Predicate", + "ĠP redicate", + "ĠPred icate", + "å¾ Ĺ", + "e ria", + "er ia", + "eri a", + "ĠP ierce", + "ĠPi erce", + "ĠPier ce", + "o rio", + "or io", + "ori o", + "Ġmer its", + "Ġmerit s", + "Ġpe anut", + "Ġpea nut", + ". Package", + ".P ackage", + "ĠCon duct", + "ĠCond uct", + "_ SENSOR", + "_S ENSOR", + "_SENS OR", + "Ġbo iling", + "Ġboil ing", + "Ġin tra", + "Ġint ra", + "Ġintr a", + "Ġ IGN", + "ĠI GN", + "ĠIG N", + "ĠF ur", + "ĠFu r", + ". Refresh", + ".Re fresh", + ".Ref resh", + "Ġ Reach", + "ĠR each", + "ĠRe ach", + "_ decoder", + "_de coder", + "_dec oder", + "_decode r", + ". Exp", + ".Ex p", + ".E xp", + "Ġ ÑĤак", + "ĠÑĤ ак", + "ĠÑĤа к", + "p ill", + "pi ll", + ", Q", + "ĠGr ill", + "ĠGri ll", + "Ġp opping", + "Ġpop ping", + "Ġpo pping", + ". Ag", + ".A g", + "Ġpro yecto", + "Ġmile age", + "Ġec ological", + "Ġeco logical", + "] ]);Ċ", + "]] );Ċ", + "]]) ;Ċ", + "Ġ ÂŃ", + "Ġ Ń", + "sub plot", + "a cad", + "ac ad", + "aca d", + "Ġ Trying", + "ĠT rying", + "ĠTr ying", + "ĠTry ing", + "rec ipes", + "recipe s", + "$ criteria", + "$c riteria", + "ĠPer sian", + "ĠPers ian", + "- bound", + "-b ound", + "-bo und", + "M ASK", + "MA SK", + "MAS K", + "Ġ Gesture", + "ĠG esture", + "ĠGes ture", + "ĠGest ure", + "Ġ kk", + "Ġk k", + "ĠP VC", + "ĠPV C", + "Ġpro hibition", + "Ġprohib ition", + "Ġprohibit ion", + "Ġcom ando", + "Ġco mando", + "Ġcoma ndo", + "Ġ LOOK", + "ĠL OOK", + "ĠLO OK", + "Sh opping", + "Shop ping", + "Ġdist ortion", + "Ġdistort ion", + "< Boolean", + ".Get Length", + "um pt", + "ump t", + "\\ Product", + "ell ery", + "elle ry", + "eller y", + "Ġfire wall", + "form atted", + "format ted", + ". redis", + ".re dis", + ".r edis", + ".red is", + "Ġ esa", + "Ġe sa", + "Ġes a", + "ĠRh ode", + "S om", + "So m", + ". non", + ".n on", + ".no n", + "Ġ ').", + "Ġ' ).", + "Ġ') .", + "Ġ getView", + "Ġget View", + "ạ n", + "p rus", + "pr us", + "Mat thew", + "Ġs ia", + "Ġsi a", + "ĠF ors", + "ĠFor s", + "ĠFo rs", + "G PU", + "GP U", + "ient ras", + "ien tras", + "_ INST", + "_IN ST", + "_I NST", + "_INS T", + "Ġo larak", + "Ġol arak", + "Ġola rak", + "Ġimport ing", + "Ġimp orting", + "T CP", + "TC P", + "/ \");Ċ", + "/\" );Ċ", + "/\") ;Ċ", + "e ither", + "ei ther", + "Ġfresh ly", + "c ascade", + "cas cade", + "( character", + "(char acter", + "ĠJe ep", + "o tics", + "ot ics", + "otic s", + "oti cs", + "_ UTIL", + "_UT IL", + ".Xtra Printing", + ".first Child", + "ĠEx cell", + "ĠExcel l", + "ĠExc ell", + "Ġd vd", + "Ġdv d", + "Ġt aller", + "Ġtal ler", + "Ġta ller", + "Ġtall er", + "Ġ ras", + "Ġr as", + "Ġra s", + "y pass", + "yp ass", + "Ġassign s", + "Ġgr iev", + "Ġgri ev", + "- more", + "-m ore", + "J D", + "ĠBur ns", + "ĠBurn s", + "' >čĊ", + "'> čĊ", + ". Dependency", + ".D ependency", + ".Dep endency", + ". QueryString", + ".Query String", + ". Owner", + ".O wner", + "Ġ expiry", + "Ġex piry", + "Ġexp iry", + "T hu", + "Th u", + "( Vec", + "(V ec", + "Ġhazard ous", + "Ġ rpm", + "Ġr pm", + "Ġrp m", + "AP ON", + "APO N", + "Ġadd Target", + "s ville", + "sv ille", + "p Net", + "Ġ Img", + "ĠI mg", + "ĠIm g", + "Ġ TIMER", + "ĠT IMER", + "ĠTIM ER", + "ĠTIME R", + "ĠTI MER", + ". Animation", + ".An imation", + "Ġ bek", + "Ġb ek", + "Ġbe k", + "Ġas sort", + "Ġass ort", + "Ġle bih", + "Ġbody Parser", + "Ġvibr ating", + "Ġvib rating", + "I DL", + "ID L", + "Ġbutter knife", + "in ters", + "int ers", + "inter s", + "inte rs", + "Ġpersu ade", + "ĠLGBT Q", + "è ĭ", + ". soft", + ".s oft", + ".so ft", + "Ġbe ams", + "Ġbeam s", + "_ sur", + "_s ur", + "_su r", + ". Def", + ".D ef", + ".De f", + "Ġ labs", + "Ġl abs", + "Ġla bs", + "Ġlab s", + "ĉ plt", + "ĉp lt", + "ĉpl t", + "Ġ skins", + "Ġs kins", + "Ġsk ins", + "Ġskin s", + "Ġski ns", + "Ġtransfer ring", + "Ġtransf erring", + "Ġimag inary", + "Ġimagin ary", + "_ End", + "_E nd", + "; background", + "Ġ laps", + "Ġl aps", + "Ġla ps", + "Ġlap s", + "_ COMMENT", + "_COM MENT", + "_COMM ENT", + "( SDL", + "(S DL", + "o nds", + "on ds", + "ond s", + ". Record", + ".Re cord", + ".Rec ord", + "ĠIm plements", + "ĠImp lements", + "ĠImplement s", + "ĠImpl ements", + "_ ticks", + "_t icks", + "_tick s", + "_ti cks", + "( )))ĊĊ", + "() ))ĊĊ", + "()) )ĊĊ", + "())) ĊĊ", + "()))Ċ Ċ", + "Ġa rose", + "Ġar ose", + "] ?", + "Ġ Mp", + "ĠM p", + "ĠI Command", + "Ġsculpt ure", + "Ġcon tracted", + "Ġcontract ed", + "Ġcontr acted", + "< HTML", + "Ġcal end", + "a ty", + "at y", + "/ Sub", + "/S ub", + "Ġkv inn", + "Ġkvin n", + "_ IGNORE", + "ĠSh ane", + "ĠSha ne", + "ĠShan e", + "M LS", + "ML S", + "Ġstim ulate", + "Part ition", + "Ġ mun", + "Ġm un", + "Ġmu n", + "ó m", + "er ala", + "era la", + "eral a", + "- account", + "-a ccount", + "-ac count", + ". Binary", + ".B inary", + "c é", + "Ġse ize", + "Ġseiz e", + "Ġsei ze", + "conn ections", + "connect ions", + "connection s", + "Ġ ĊĠĠĠĠĠĠĠĠĊ", + "ĠĊ ĠĠĠĠĠĠĠĠĊ", + "Ġ Diagnostic", + "ĠDi agnostic", + "V ISIBLE", + "VIS IBLE", + "Ġ Runs", + "ĠR uns", + "ĠRun s", + "ĠRu ns", + "Ġim pressions", + "Ġimpress ions", + "Ġimpression s", + "Ġimpr essions", + "s uite", + "su ite", + "suit e", + "o ble", + "ob le", + "obl e", + "~ -", + "ak ukan", + "aku kan", + "< Person", + "

\">\" >\"> \">< /", + "_ indexes", + "_index es", + "Ġ valuation", + "Ġval uation", + "Ġvalu ation", + "Ġlife long", + "Ġlif elong", + "Ġexp edition", + "Ġexped ition", + "( Yii", + "(Y ii", + "Ġp ains", + "Ġpain s", + "Ġpa ins", + "Ġpai ns", + "Ġ PRI", + "ĠP RI", + "ĠPR I", + "Ġ Mixed", + "ĠM ixed", + "ĠMix ed", + "ĠMi xed", + "Ġ Changing", + "ĠCh anging", + "ĠChan ging", + "ĠChang ing", + "German y", + "Ger many", + "comm unication", + "communic ation", + ". organ", + ".org an", + ".o rgan", + ".or gan", + "ĠMar athon", + "ĠMara thon", + "get Path", + "Ġ Accuracy", + "ĠAc curacy", + "ĠAcc uracy", + "Ġ Globals", + "ĠG lobals", + "ĠGlobal s", + "ĠGlob als", + "') }}'", + "Ġ'\" >'", + "Ġ'\"> '", + "k inson", + "kin son", + "kins on", + "Ġ кол", + "Ġк ол", + "Ġко л", + "ogn itive", + "_ li", + "_l i", + "Ġim minent", + "Ġimm inent", + "Ġaff inity", + "Ġaf finity", + ". signal", + ".s ignal", + ".sign al", + ".sig nal", + "Ġn otch", + "Ġnot ch", + "ĠSteel ers", + "ĠSteele rs", + "max length", + "K K", + "ĠEu gene", + "ĠEug ene", + "_ PWM", + "_P WM", + "_PW M", + "r oi", + "ro i", + "Ġ âĹı", + "Ġâ Ĺı", + "ĠâĹ ı", + "ĠH amburg", + "ĠHam burg", + ". Must", + ".M ust", + "Ġ axe", + "Ġa xe", + "Ġax e", + "en ef", + "ene f", + "Ġamb itions", + "Ġambit ions", + "Ġambition s", + "Ġ Species", + "ĠS pecies", + "ĠSp ecies", + "ĠSpec ies", + "ĠSpe cies", + "ĠSt ress", + "ĠStr ess", + "ĠStre ss", + "Ġa while", + "Ġ бÑĥд", + "Ġб Ñĥд", + "ĠбÑĥ д", + "Ġwith stand", + "Ġ Decoder", + "ĠDe coder", + "ĠDec oder", + "ĠDecode r", + "_ inventory", + "_in ventory", + "Ġ{ ččĊ", + "Ġ tgt", + "Ġt gt", + "Ġtg t", + "Ġrail road", + "W ASHINGTON", + "Ġnegot iated", + "Ġnegotiate d", + "N ST", + "NS T", + "- phone", + "-p hone", + "-ph one", + ", U", + "Ġexerc ising", + "á» ¥", + "_P IXEL", + "_PIX EL", + "av ors", + "avor s", + "avo rs", + "ite rated", + "iter ated", + "iterate d", + "Ġv ampire", + "Ġvamp ire", + "a dal", + "ad al", + "ada l", + "In grese", + "Ing rese", + "Ġ ung", + "Ġu ng", + "Ġun g", + "j ective", + "ject ive", + ". cells", + ".c ells", + ".cell s", + "Ġ nano", + "Ġn ano", + "Ġna no", + "Ġnan o", + "Ġ markdown", + "Ġmark down", + "_ RULE", + "_R ULE", + "( events", + "(e vents", + "(event s", + "(ev ents", + "Ġl uggage", + "Ġlug gage", + "M ESSAGE", + "MESS AGE", + "ig keit", + "$ count", + "$c ount", + "Attribute Name", + "IG INAL", + "IGIN AL", + "_ Ent", + "_E nt", + "Ġ BF", + "ĠB F", + "Ġ COMMENT", + "ĠCOM MENT", + "ĠCOMM ENT", + "_ ini", + "_in i", + "_i ni", + "ĠEurope ans", + "ĠEuropean s", + "ĠB elle", + "ĠBe lle", + "ĠBel le", + "ĠBell e", + "åij ½", + ") ['", + ")[ '", + "åº Ķ", + "ĠUs eful", + "ĠUse ful", + ". reference", + ".re ference", + ".ref erence", + "( )\",", + "() \",", + "()\" ,", + "_ grade", + "_g rade", + "_gr ade", + "_grad e", + "ĠK aw", + "ĠKa w", + "Ġsent encing", + "Ġsocial ism", + "mon ster", + "mons ter", + "_L AYER", + "Ġdeep est", + "Ġdee pest", + "w k", + "Ġ Noise", + "ĠN oise", + "ĠNo ise", + "# ##ĊĊ", + "## #ĊĊ", + "### ĊĊ", + "###Ċ Ċ", + "Ġpr éc", + "Ġpré c", + "o tle", + "ot le", + "ÑĤ е", + "a uf", + "au f", + "i bal", + "ib al", + "iba l", + "Ġcon quer", + "Ġconqu er", + "> Email", + ">E mail", + "Ġamb ulance", + "O AD", + "OA D", + "Ġ (\"%", + "Ġ( \"%", + "Ġ(\" %", + "Ġ FI", + "ĠF I", + ". fixture", + ".f ixture", + ".fix ture", + "Ġt erse", + "Ġter se", + "Ġters e", + "ĠĠ ĠĠĉĉĉĉ", + "ĠĠĠĠ ĉĉĉĉ", + "ĠĠĠ Ġĉĉĉĉ", + "ĠĠĠĠĉ ĉĉĉ", + "ĠĠĠĠĉĉ ĉĉ", + "ĠĠĠĠĉĉĉ ĉ", + "Ġsanct uary", + "u gi", + "ug i", + "Ġ Comparator", + "ĠCom parator", + "ĠCompar ator", + "Definition s", + "Ġast hma", + "Ġl act", + "Ġla ct", + "Ġlac t", + "Ġhard wood", + ". clock", + ".c lock", + ".cl ock", + "Ġattr acting", + "Ġattract ing", + "ĠM our", + "ĠMo ur", + "ĠMou r", + "( distance", + "(d istance", + "(dist ance", + "(di stance", + "ic its", + "ici ts", + "icit s", + "Ġb onne", + "Ġbon ne", + "Ġ ACCESS", + "ĠAC CESS", + "ĠACC ESS", + ".Deserialize Object", + "Ġ Typed", + "ĠT yped", + "ĠType d", + "ĠTy ped", + "ĠTyp ed", + "Ġj eu", + "Ġje u", + "Ġ appId", + "Ġapp Id", + "ĠC lara", + "ĠCl ara", + "ĠClar a", + "ĠCla ra", + "Ġ HF", + "ĠH F", + "ĠRe ich", + "ĠRei ch", + "ip ples", + "ipp les", + "ipple s", + "// --------------------------------------------------------------------------------", + "//---------------------------------------------------------------- ----------------", + "//---------------------------------------------------------------------------- ----", + "//------------------------------------------------ --------------------------------", + "//-------------------------------- ------------------------------------------------", + "//---------------- ----------------------------------------------------------------", + "_ delivery", + "_d elivery", + "_del ivery", + "erial ization", + "Ġplaint iffs", + "Ġplaintiff s", + "S cient", + "Sc ient", + "Sci ent", + "sh opping", + "shop ping", + "Ġ Dummy", + "ĠD ummy", + "ĠDum my", + "ĠW ald", + "ĠWal d", + "ĠWa ld", + "Group Name", + "Ġ inscription", + "Ġin scription", + "Ġins cription", + "e log", + "el og", + "elo g", + ": :::::::", + ":: ::::::", + ":::: ::::", + ":::::: ::", + "::: :::::", + "::::: :::", + "::::::: :", + "_ ld", + "_l d", + "Back Pressed", + ". Raw", + ".R aw", + "ĠOn Trigger", + "Ġmuseum s", + "Ġmuse ums", + "Ġ Been", + "ĠB een", + "ĠBe en", + "ĠBee n", + "ĠAdvent ures", + "ĠAdventure s", + "Ġs late", + "Ġsl ate", + "Ġsla te", + "Ġ lett", + "Ġl ett", + "Ġle tt", + "Ġlet t", + "Ġs und", + "Ġsu nd", + "Ġsun d", + "ĠG in", + "ĠGi n", + "ĠMechan ical", + "ĠMech anical", + ". ship", + ".s hip", + ".sh ip", + "App Component", + "Ġdest ined", + "Ġdestin ed", + "Ġdw elling", + "Ġdwell ing", + "Pro filer", + "Profile r", + "Prof iler", + "Pre pare", + "ze ich", + "Ġsil icon", + "( has", + "(h as", + "Ġ# %", + "V IDEO", + "VID EO", + "Ġcollabor ate", + "L in", + "Li n", + "Ġ scopes", + "Ġsc opes", + "Ġscope s", + "Ġsco pes", + "Ġscop es", + "( className", + "(class Name", + "( sd", + "(s d", + "an din", + "and in", + "andi n", + ". ham", + ".h am", + "Service Impl", + "-de scribed", + "-des cribed", + "Ġir ony", + "Ġiron y", + "st ial", + "sti al", + "ĠHu awei", + "( repo", + "(re po", + "(rep o", + "Ġunexpected ly", + "ĠK ai", + "ĠKa i", + ". install", + ".inst all", + "\\ xf", + "\\x f", + "Ġex hibited", + "Ġexhib ited", + "Ġexhibit ed", + "_ TCP", + "_T CP", + "_TC P", + "ĠO x", + "_ CHO", + "_C HO", + "_CH O", + "Ġprostitu erte", + "Ġprostituer te", + "Ġ vä", + "Ġv ä", + "Ġs ito", + "Ġsit o", + "Ġsi to", + "Ġconstitu ents", + "Ġconstituent s", + "ĠContinue d", + "ĠContin ued", + "Ġ SAVE", + "ĠS AVE", + "ĠSA VE", + "r ss", + "rs s", + "/ message", + "/m essage", + "u bes", + "ub es", + "ube s", + "Ġmisd emean", + "Ġtax ation", + "Ġtaxa tion", + "Ġstory line", + "h air", + "ha ir", + "hai r", + "ĠF inds", + "ĠFin ds", + "ĠFind s", + "ĠFi nds", + "S IG", + "SI G", + "ver ification", + "~ =", + ". hp", + ".h p", + "It erable", + "Iter able", + "Ñĭ е", + "at ori", + "ator i", + "ato ri", + "Ġ ctr", + "Ġc tr", + "Ġct r", + "R x", + "_ );ĊĊ", + "_);Ċ Ċ", + "_) ;ĊĊ", + "d ag", + "da g", + ". pin", + ".p in", + ".pi n", + "Ġp seud", + "Ġin vo", + "Ġinv o", + "Ñģ ÑĤÑĢ", + "ÑģÑĤ ÑĢ", + "_ pix", + "_p ix", + "_pi x", + "为 空", + "Ġsw orn", + "Ġswo rn", + "âĢĶ or", + "_ registry", + "_reg istry", + "Ġdis asters", + "Ġdisaster s", + "Ġ ROI", + "ĠR OI", + "ĠRO I", + "Ġ âĢķ", + "ĠâĢ ķ", + "ak tu", + "akt u", + "f orest", + "fo rest", + "fore st", + "for est", + "be iten", + "beit en", + "bei ten", + "âĢĶ I", + "u eva", + "ue va", + "e gt", + "eg t", + "Ġsp ikes", + "Ġspi kes", + "Ġspike s", + "U RES", + "UR ES", + "URE S", + "Ġ Recommended", + "ĠRe commended", + "ĠRecomm ended", + "ĠRecommend ed", + "Ġexplo ited", + "Ġexploit ed", + "ĠFreder ick", + "_ COMPLETE", + "_COMP LETE", + "ĠDr ugs", + "ĠDrug s", + "!!! !!!!!", + "!!!! !!!!", + "!!!!! !!!", + "ĠR iv", + "ĠRi v", + "S TOP", + "ST OP", + "R OOM", + "RO OM", + "Ġ PASSWORD", + "ĠP ASSWORD", + "ĠPASS WORD", + "C ookies", + "Co okies", + "Cookie s", + "Cook ies", + ". El", + ".E l", + "á» Ń", + "ĠB ert", + "ĠBe rt", + "ĠBer t", + "Ġ hashed", + "Ġh ashed", + "Ġhas hed", + "Ġhash ed", + "Ġha shed", + "ic ester", + "ice ster", + "ices ter", + "Ġdecor ator", + "Ġ queryString", + "Ġquery String", + ": ;Ċ", + "Ġ\" [\"", + "Ġ\"[ \"", + "ot ope", + "oto pe", + "- Americ", + "-A meric", + "-Am eric", + "ĠMatthew s", + "ĠMatth ews", + "U RAL", + "UR AL", + "URA L", + "âĢľ ,", + "S ummer", + "Sum mer", + "f os", + "fo s", + "_CONT AINER", + "_ ACK", + "_A CK", + "_AC K", + "Ġ filtr", + "Ġf iltr", + "Ġfil tr", + "Ġfi ltr", + "Ġfilt r", + "_ disp", + "_d isp", + "_dis p", + "_di sp", + "_ Re", + "_R e", + "Ġfac ile", + "Ġfacil e", + "а ÑĪ", + "Ġìķ Ĭ", + "Ġe ben", + "Ġeb en", + "Ġsp rink", + "Ġspr ink", + "ĠQ uint", + "ĠQu int", + "ĠQui nt", + "> V", + "Ġhistor ians", + "Ġhistorian s", + "Ġhistoria ns", + "Ġhisto rians", + "our met", + "Ġ Monitoring", + "ĠMonitor ing", + "led ger", + "ledge r", + "c ott", + "co tt", + "cot t", + "Ġ ware", + "Ġw are", + "Ġwar e", + "Ġwa re", + "G GLE", + "GG LE", + "c ars", + "ca rs", + "car s", + "ĠM EDIATEK", + "Ġvol upt", + "_ View", + "_V iew", + "H EL", + "HE L", + "( copy", + "(c opy", + "(co py", + "( stats", + "(st ats", + "(stat s", + "Ġch romosome", + "Ġchrom osome", + "ĠCurt is", + "- conf", + "-con f", + "-co nf", + "( asset", + "(as set", + "Ġh vor", + "Ġhv or", + "File System", + "< >();čĊ", + "<>( );čĊ", + "<> ();čĊ", + "o coder", + "oc oder", + "oco der", + "ocode r", + "ĠC annon", + "ĠCan non", + "ĠCann on", + ") x", + "Ġ Smooth", + "ĠSm ooth", + "ĠS AS", + "ĠSA S", + "_ ce", + "_c e", + "ĉ prev", + "ĉp rev", + "ĉpr ev", + "ĉpre v", + "_ movie", + "_m ovie", + "_mov ie", + "_mo vie", + "E c", + "_ wall", + "_w all", + "< Button", + ".ĊĊ", + "/> .ĊĊ", + "/>.Ċ Ċ", + "/>. ĊĊ", + "o genesis", + "ogen esis", + "ogene sis", + "Ġ OPTIONS", + "ĠOPTION S", + "ĠOPT IONS", + "up tools", + "upt ools", + "Ġmilit ant", + "Ġmil itant", + "Ġmili tant", + "Ġex ited", + "Ġexit ed", + "i gar", + "ig ar", + "iga r", + "Ġ COMM", + "ĠCO MM", + "ĠCOM M", + "Ġ Disposable", + "ĠD isposable", + "ĠDis posable", + "ay cast", + "Ġrow span", + "Ġrows pan", + "Ġsyn thes", + "Ġsynth es", + "Ġsynt hes", + "Ġso ndern", + "Ġsond ern", + "Ġ Ċ", + "]- ->Ċ", + "ĠJ acket", + "ĠJack et", + "ĠJac ket", + "ĠJa cket", + "R ATION", + "RA TION", + ".get SelectedItem", + ".getSelected Item", + "- init", + "-in it", + "-i nit", + "Ġ Registers", + "ĠReg isters", + "ĠRegister s", + "_ sep", + "_s ep", + "_se p", + "Ġ Toolkit", + "ĠTool kit", + ". dict", + ".d ict", + ".di ct", + "Ġ xlabel", + "Ġx label", + "Ġxl abel", + "\\ Table", + "t oc", + "to c", + "_ combo", + "_c ombo", + "_com bo", + "_comb o", + "Ġ Compact", + "ĠComp act", + "Ġr ugged", + "Ġrug ged", + "à¥ĩ à¤", + "- management", + "-man agement", + "') }}\">Ċ", + "')}} \">Ċ", + "')}}\" >Ċ", + "')} }\">Ċ", + "')}}\"> Ċ", + "Ġ Stamp", + "ĠSt amp", + "ĠSta mp", + "ĠStam p", + "ı l", + "r ox", + "ro x", + "Ġlandscape s", + "Ġlandsc apes", + "_ NOTE", + "_N OTE", + "_NO TE", + "_NOT E", + "mon ary", + "c ab", + "ca b", + "Ġmo et", + "x af", + "xa f", + "r code", + "rc ode", + "- cli", + "-c li", + "-cl i", + "_ gate", + "_g ate", + "[ event", + "[e vent", + "S PORT", + "SP ORT", + "g ia", + "gi a", + "Ġ SUPER", + "ĠS UPER", + "ĠSU PER", + "ĠSUP ER", + "/ Login", + "_ shutdown", + "_sh utdown", + "int errupt", + "inter rupt", + "Ġpret ending", + "Ġpretend ing", + "Ġf ringe", + "Ġfr inge", + "Ġfri nge", + "ĠR eds", + "ĠRe ds", + "ĠRed s", + "Ġ CUDA", + "ĠC UDA", + "ĠCU DA", + "Ġ UNIX", + "ĠUN IX", + "v it", + "vi t", + "Ġ brig", + "Ġb rig", + "Ġbr ig", + "Ġbri g", + "d rv", + "dr v", + "Ġ Connector", + "ĠConnect or", + "ĠConn ector", + "There fore", + "Ġ lia", + "Ġl ia", + "Ġli a", + "D etection", + "De tection", + "Det ection", + "Detect ion", + "_ actor", + "_a ctor", + "_ac tor", + "_act or", + "Ġtemp file", + "Ġecc entric", + "- role", + "-r ole", + "-ro le", + "Ġp adx", + "Ġpa dx", + "Ġpad x", + "d ent", + "de nt", + "den t", + "West ern", + "Ġ ê·¸", + "Ġê ·¸", + "Ġê· ¸", + "ĠApplication Record", + "Ġcampaign ing", + "_ runner", + "_r unner", + "_run ner", + "ĠC ivic", + "ĠCi vic", + "ĠCiv ic", + "a leigh", + "ale igh", + "Ġdir ekt", + "Ġdire kt", + ".s ul", + "Ġ Ġĉĉĉ", + "ĠĠ ĉĉĉ", + "ĠĠĉ ĉĉ", + "ĠĠĉĉ ĉ", + "a nten", + "an ten", + "ant en", + "ante n", + "Ġ issuer", + "Ġiss uer", + "Ġissue r", + "Ġissu er", + "Ġassert ions", + "Ġassertion s", + "( orig", + "(o rig", + "(or ig", + "AT IO", + "Ġle aned", + "Ġlean ed", + "ä s", + ". DTO", + ".D TO", + "ex plode", + "expl ode", + "explo de", + ". Observable", + ".O bservable", + "Ġstagger ing", + "Ġkidn apped", + "Ġprogram mers", + "Ġprogramme rs", + "Ġprogrammer s", + "Ġprogramm ers", + "ĠIn nov", + "ĠInn ov", + ". parameter", + ".param eter", + "Ġd omination", + "Ġdo mination", + "Ġdom ination", + "Ġdomin ation", + "Ġdomina tion", + "Ġske ptic", + "Ġskept ic", + "Ġ æĺ¯", + "Ġæĺ ¯", + "Ġav oids", + "Ġavoid s", + ". Verify", + ".Ver ify", + "ub by", + "ubb y", + "Ġ ASN", + "ĠA SN", + "ĠAS N", + "Ġform ato", + "Ġformat o", + "Ġforma to", + "ĠBeat les", + "_ brand", + "_b rand", + "_br and", + "Ġin set", + "Ġins et", + "Ġinse t", + "y outu", + "you tu", + "Ġ toc", + "Ġt oc", + "Ġto c", + "- final", + "-f inal", + "-fi nal", + "-fin al", + "Sh owing", + "Show ing", + "ĠD oub", + "ĠDo ub", + "ĠDou b", + "ĠM esa", + "ĠMe sa", + "ĠMes a", + "A dj", + "Ad j", + "_ medium", + "_m edium", + "_med ium", + "Create s", + "Cre ates", + "Creat es", + "( endpoint", + "(end point", + "ĉ UP", + "ĉU P", + "b bie", + "bb ie", + "Ġ stalk", + "Ġs talk", + "Ġst alk", + "Ġsta lk", + "Ġstal k", + ".data bind", + ".datab ind", + ". Scan", + ".S can", + ".Sc an", + "ag ents", + "age nts", + "agent s", + "agen ts", + "$ ,", + "ind ividual", + "+ )/", + "+) /", + "ĉ vm", + "ĉv m", + "( notification", + "(not ification", + "Ġin ex", + "Ġi nex", + "Ġine x", + "Ġ Classification", + "ĠClass ification", + "r eno", + "re no", + "ren o", + "Ġo lig", + "Ġol ig", + "Ġoli g", + "- rated", + "-r ated", + "-rate d", + "-ra ted", + "Ġform ulation", + "Ġformula tion", + "Ġformul ation", + "' ,{", + "', {", + "Ġa cept", + "Ġac ept", + "Ġace pt", + "_ unpack", + "_un pack", + "_ CA", + "_C A", + ". Pow", + ".P ow", + "ĉ im", + "ĉi m", + "Ġal uminium", + "Ġalum inium", + "A NO", + "AN O", + "Ġ xn", + "Ġx n", + "Ġc ómo", + "Ġcó mo", + "Ġ Ingredient", + "ĠIng redient", + "Ġseiz ures", + "Ġseizure s", + "åħ ±", + "ific ador", + "ificado r", + "Ġs iguiente", + "Ġsigu iente", + "ĠIn fragistics", + "Ġd uplicated", + "Ġduplicate d", + "Ġdup licated", + "Ġduplic ated", + "ĠD ee", + "ĠDe e", + "Ġn ø", + "Ġ ACCEPT", + "ĠAC CEPT", + "( crate", + "(c rate", + "(cr ate", + "иÑĤ елÑĮ", + "иÑĤе лÑĮ", + "- less", + "-l ess", + "-le ss", + "Ġ infinity", + "Ġin finity", + "Ġinf inity", + "Ġinfinit y", + "An alyzer", + "Analy zer", + "- Day", + "-D ay", + "r itt", + "ri tt", + "rit t", + "( cin", + "(c in", + "(ci n", + "ĠG y", + "Ġmulti plied", + "Ġmultip lied", + "u chi", + "uch i", + "uc hi", + "ĠBald win", + "/ ip", + "/i p", + "Ġshort cuts", + "Ġshortcut s", + ". ADD", + ".A DD", + ".AD D", + "Ġv igor", + "Ġvi gor", + "Ġvig or", + "_ instruction", + "_in struction", + "_instr uction", + "( ;", + "_ eta", + "_e ta", + "_et a", + "è¿ ŀ", + "utor ials", + "utorial s", + "Ġboost ing", + "b v", + "Ġacknowled ges", + "Ġacknowledge s", + "List ening", + "Listen ing", + "F AQ", + "FA Q", + "; b", + "( (-", + "(( -", + "Ġarchitect s", + "Ġarchit ects", + "Ġz we", + "Ġzw e", + "Ġp uls", + "Ġpul s", + "Ġpu ls", + "Ġget Count", + "ĠgetC ount", + "ver bs", + "verb s", + "ãĢ ľ", + "( Collection", + "(C ollection", + "k re", + "kr e", + "Ġjurisdiction s", + "Ġjuris dictions", + "_ bridge", + "_b ridge", + "_br idge", + "ĠC rack", + "ĠCr ack", + "ĠCra ck", + "Ġ Difficulty", + "ĠDiff iculty", + "K O", + "Res ervation", + "_ requires", + "_re quires", + "_require s", + "T our", + "To ur", + "ãģĹ ãģŁ", + "ãģĹãģ Ł", + ". setCurrent", + ".set Current", + "Ġ ky", + "Ġk y", + "ĠAlb any", + "ĠAlban y", + "Ġ è§", + "Ġè §", + "l ler", + "ll er", + "lle r", + "ag na", + "agn a", + "work ers", + "worker s", + "wor kers", + ". blank", + ".bl ank", + "ĠPr ayer", + "ĠPra yer", + "M IC", + "MI C", + "Ġresil ience", + "Te X", + "Ġ Languages", + "ĠL anguages", + "ĠLanguage s", + "st udy", + "stu dy", + "stud y", + "ĉ curr", + "ĉc urr", + "ĉcur r", + "Ġenzym es", + "Ġenzyme s", + "S lug", + "Sl ug", + "Ġ íĮĮ", + "ĠíĮ Į", + "st ral", + "str al", + "stra l", + "Ġtum ors", + "Ġtumor s", + "Ġseg unda", + "Ġsegu nda", + "= '{", + "=' {", + "in struction", + "instr uction", + "ĠL isp", + "ĠLi sp", + "ĠLis p", + "/ info", + "/in fo", + "Ġ\" {$", + "Ġ\"{ $", + ",: ),", + ",:) ,", + "Ġ gv", + "Ġg v", + "( ErrorMessage", + "(Error Message", + "Ġ '=", + "Ġ' =", + "} -${", + "}- ${", + ". Documents", + ".Document s", + ".Doc uments", + "\" Well", + "\"We ll", + "\"W ell", + "Ġreminis cent", + "Ġg az", + "Ġga z", + "ir opr", + "iro pr", + "e hr", + "eh r", + "Ġsup pressed", + "Ġsuppress ed", + "Ġsupp ressed", + "er sh", + "ers h", + ".scroll To", + "Ġ cadena", + "Ġc adena", + "Ġcad ena", + "Ġcade na", + "Ġgame State", + "ÃŃ m", + "( conv", + "(con v", + "(co nv", + "Ġ Tomorrow", + "ĠTom orrow", + "ĠC CT", + "ĠCC T", + "M ongo", + "Mon go", + "Mo ngo", + "u lg", + "ul g", + ". Camera", + ".C amera", + ". handlers", + ".handle rs", + ".handler s", + ".hand lers", + "m ph", + "mp h", + "Ġ stk", + "Ġs tk", + "Ġst k", + "Ġgen etics", + "Ġgene tics", + "Ġgenetic s", + "AC ING", + "Tr ivia", + "Tri via", + "ĠB am", + "ĠBa m", + "( marker", + "(m arker", + "(mark er", + ". Stretch", + ".St retch", + ".Str etch", + "ĠSun ni", + "ĠB etty", + "ĠBe tty", + "ĠBet ty", + "ĠBett y", + ". tolist", + ".t olist", + ".to list", + "un likely", + ". Rectangle", + ".Rect angle", + "ob solete", + "IL ON", + "inner Text", + "em bourg", + "emb ourg", + "a N", + "ĠV ehicles", + "ĠVehicle s", + "un lock", + ": utf", + "n ob", + "no b", + "Ġ Seeing", + "ĠSe eing", + "ĠSee ing", + "ĠN EVER", + "ĠNE VER", + "Ġ tls", + "Ġt ls", + "Ġtl s", + "Ġf illes", + "Ġfil les", + "Ġfill es", + "Ġfille s", + "Ġbenef ited", + "Ġbenefit ed", + "ĠC lint", + "ĠCl int", + "ĠClin t", + "ĠCli nt", + "*/ ),", + "*/) ,", + ". fold", + ".f old", + "Ġpos ible", + "Ġposi ble", + "A DED", + "AD ED", + "ADE D", + "t house", + "th ouse", + ". DAL", + ".D AL", + "Ġ Odd", + "ĠO dd", + "ĠOd d", + "r okes", + "ro kes", + "roke s", + "rok es", + "ĠS unny", + "ĠSun ny", + "ĠPartial Eq", + "_ Buffer", + "_B uffer", + "ĠL evi", + "ĠLe vi", + "ĠLev i", + "long rightarrow", + "el don", + "eld on", + "eldo n", + "g ages", + "ga ges", + "gage s", + "_ warn", + "_w arn", + "_war n", + ".Create Table", + "ĠD ip", + "ĠDi p", + "_ questions", + "_question s", + "_quest ions", + ". logic", + ".log ic", + "Ġ #\"", + "Ġ# \"", + "={ ()=>", + "={() =>", + "={( )=>", + "Ġ tep", + "Ġt ep", + "Ġte p", + "Ġju icy", + "ì Ĥ¬", + "ìĤ ¬", + "en ko", + "enk o", + "ial ect", + "ia lect", + "iale ct", + "Ù ī", + "Ġon board", + "Ġ æı", + "Ġæ ı", + "ĉ rt", + "ĉr t", + "_ UTF", + "_U TF", + "_UT F", + "ĠQ Action", + "ĠQA ction", + "âĢ ŀ", + "( Component", + "( audio", + "(a udio", + ". hit", + ".h it", + "g te", + "gt e", + "Ġprogram med", + "Ġprogramme d", + "Ġprogramm ed", + "state Params", + "Ġpoly ester", + "f ires", + "fi res", + "fire s", + "fir es", + "by ss", + "] =(", + "]= (", + "_ quality", + "_q uality", + "_qu ality", + "_qual ity", + "Of Day", + "ĠF airy", + "ĠFair y", + "ĠFa iry", + "Ġy elled", + "Ġyell ed", + "o pl", + "op l", + "( userName", + "(user Name", + "Ġ Difference", + "ĠD ifference", + "ĠDiff erence", + "Ġeval uations", + "Ġevaluation s", + "Ġevalu ations", + "iff any", + "Ġcycl ists", + "Ġcyc lists", + "Ġcyclist s", + "Ġ cidade", + "Ġc idade", + "Ġcid ade", + "Ġtext book", + "Ġprof iling", + "Ġprofil ing", + "_ _),", + "__ ),", + "__) ,", + "d ea", + "de a", + ". activate", + ".act ivate", + ".activ ate", + "Ġind ications", + "Ġindic ations", + "Ġindication s", + "Ð ķ", + "Touch UpInside", + "Ġinval uable", + "Ġ MASK", + "ĠM ASK", + "ĠMA SK", + "ĠMAS K", + "Ġcont end", + "Ġconten d", + "Ġconte nd", + "F req", + "Fr eq", + "Fre q", + "Ġrec ruits", + "Ġrecru its", + "Ġrecruit s", + "( interval", + "(int erval", + "(inter val", + "Ġ UserProfile", + "ĠUser Profile", + "Ġ'./ ../", + "Ġ'. /../", + "e du", + "ed u", + "_ Callback", + "_C allback", + "_Call back", + "Ġan alogy", + "Ġanal ogy", + "Ġanalog y", + "Ġana logy", + "ĠT rophy", + "ĠTr ophy", + "ĠTro phy", + "app hire", + "V ideos", + "Video s", + "ĠC her", + "ĠCh er", + "ĠChe r", + "ĠH av", + "ĠHa v", + "âĢ¦ \"", + ". validator", + ".valid ator", + "g fx", + "gf x", + "ĠU Object", + "class names", + "classname s", + "t riangle", + "tr iangle", + "tri angle", + "Ġ Encoder", + "ĠE ncoder", + "ĠEn coder", + "ĠEnc oder", + "ĠEncode r", + ". spy", + ".s py", + ".sp y", + "Ġpred ators", + "Ġpredator s", + "= status", + "=s tatus", + "- safe", + "-s afe", + ": \",Ċ", + ":\" ,Ċ", + ":\", Ċ", + "Ġ Including", + "ĠIn cluding", + "Ġ{ };čĊ", + "Ġ{} ;čĊ", + "Ġ{}; čĊ", + "* cos", + "*c os", + "Ġend ured", + "Ġendure d", + ".sul ake", + "Ġnurs ery", + "Ġnurse ry", + "Ġfrag rance", + "Ġre building", + "Ġrebuild ing", + "Ġ nth", + "Ġn th", + "Ġnt h", + "ĠFr aser", + "ĠFra ser", + ".set Date", + "ĠV ince", + "ĠVi nce", + "ĠVin ce", + "_ REST", + "_RE ST", + "_R EST", + "_RES T", + "Ġvent ilation", + "Ġventil ation", + "æµ ·", + "cri bes", + "cribe s", + ". asm", + ".as m", + ".a sm", + "lp Vtbl", + "ĠA be", + "ĠAb e", + "u isine", + "uis ine", + ", array", + ",a rray", + ",arr ay", + "ĉ className", + "ĉclass Name", + "err als", + "erra ls", + "erral s", + "Ġ 'ĊĊ", + "Ġ' ĊĊ", + "Ġ'Ċ Ċ", + "Check out", + "Ġs olicit", + "Ġso licit", + "Ġsol icit", + "Ġsolic it", + "A ux", + "Au x", + "_ capture", + "_c apture", + "_cap ture", + "Ġr ibs", + "Ġrib s", + "Ġri bs", + "r agon", + "ra gon", + "rag on", + "v iol", + "vi ol", + "vio l", + "to pics", + "top ics", + "topic s", + "Function Flags", + "ĠM arty", + "ĠMar ty", + "ĠMart y", + "b ike", + "bi ke", + "ĠT ucker", + "ĠTu cker", + "( kernel", + "(k ernel", + "Ġ Ops", + "ĠO ps", + "ĠOp s", + "Close Operation", + "/ demo", + "/d emo", + "/de mo", + "i lda", + "il da", + "ild a", + "ĠlÃŃ nea", + "AP PING", + "APP ING", + "Ġsu ites", + "Ġsuit es", + "Ġsuite s", + "Ġsui tes", + ".visit VarInsn", + "u rus", + "ur us", + "uru s", + "Ġ Minute", + "ĠMin ute", + "( manager", + "(m anager", + "(man ager", + "Ġbutter fly", + "Ġa pare", + "Ġap are", + "Ġapar e", + "Ġapa re", + "Ġw olves", + "Ġwol ves", + "J WT", + "ĠS alon", + "ĠSal on", + "ĠSa lon", + "ĉ delay", + "ĉd elay", + "ĉde lay", + "ĉdel ay", + "- eslint", + "-es lint", + "is ations", + "isation s", + ". rpc", + ".r pc", + ") |(", + ")| (", + "ĠSnap chat", + "/ mm", + "/m m", + "M N", + "c eries", + "ce ries", + "cer ies", + ".t extAlignment", + ".text Alignment", + "ĠFrank furt", + "Ġ ado", + "Ġa do", + "Ġad o", + "( newValue", + "(new Value", + "( access", + "(a ccess", + "(ac cess", + "(acc ess", + "( Expression", + "Ġ SignIn", + "ĠSign In", + "ĠHa iti", + "ĠHait i", + "ĠHai ti", + "_ tp", + "_t p", + ". setParameter", + ".set Parameter", + "Min ute", + "Ġmanual s", + "ric anes", + "ricane s", + "rica nes", + "Ġ PTR", + "ĠP TR", + "ĠPT R", + "Ġ Outer", + "ĠO uter", + "ĠOut er", + "ĠOu ter", + "Ġ getline", + "Ġget line", + "oc ations", + "ocation s", + "_ CD", + "_C D", + "ĠL yon", + "ĠLy on", + "/ gui", + "/g ui", + "_ live", + "_l ive", + "_li ve", + "i dan", + "id an", + "ida n", + ". geom", + ".ge om", + ".geo m", + "Ġborder Bottom", + "im uth", + "imu th", + "_ checkpoint", + "_check point", + "Ġm eu", + "Ġme u", + "ĠIr ving", + "Ġpeu vent", + "( MAX", + "(M AX", + "Ġ ARCH", + "ĠAR CH", + "ĠARC H", + "Ġp ov", + "Ġpo v", + ".source forge", + "Ġjam ais", + "Ġ ark", + "Ġa rk", + "Ġar k", + "ĠBaghd ad", + "Ġ CLEAR", + "ĠC LEAR", + "ĠCL EAR", + "Menu Bar", + "Ġtr ois", + "Ġtro is", + "CHED ULE", + "Ġ #čĊ", + "Ġ# čĊ", + "( Call", + "(C all", + "$ order", + "( Material", + "(M aterial", + "(Mat erial", + "Ġencontr ado", + "$ list", + "$l ist", + "ĠMETHOD S", + ". beginTransaction", + ".begin Transaction", + "_M AG", + "_MA G", + "Style Sheet", + "Ġmajor s", + "Ġmaj ors", + "Ġindef initely", + "Ġindefinite ly", + "c leanup", + "clean up", + "Ġhome land", + "Ġhom eland", + "( dto", + "(d to", + "(dt o", + "D ates", + "Date s", + "Da tes", + "Dat es", + "P resentation", + "Present ation", + "Ġ DK", + "ĠD K", + "={` /", + "ĉ Key", + "ĉK ey", + "( Block", + "(B lock", + "_ checkbox", + "_check box", + "ne eds", + "need s", + "nee ds", + "Ġon Complete", + "r ico", + "ri co", + "ric o", + "Ġg leich", + "Ġgle ich", + "Ġ xm", + "Ġx m", + "O OD", + "OO D", + "B etter", + "Bet ter", + "ĠSQL ITE", + ". Book", + ".B ook", + "x ad", + "xa d", + "ĠG one", + "ĠGo ne", + "ĠGon e", + "ĉ dp", + "ĉd p", + "Ġdev otion", + "Ġ stm", + "Ġs tm", + "Ġst m", + "Ġob sess", + "Ġobs ess", + "Ġ Backend", + "ĠBack end", + "Qu eries", + "Que ries", + "I k", + "/ /****************************************************************", + "// ****************************************************************", + "Ġdivide nds", + "Ġdivid ends", + "Ġdividend s", + ".parent Element", + "} \")ĊĊ", + "}\" )ĊĊ", + "}\")Ċ Ċ", + "}\") ĊĊ", + "ĠMaterial PageRoute", + ": num", + ":n um", + "Ġexp lic", + "Ġexpl ic", + "Ġ OL", + "ĠO L", + "l east", + "le ast", + "lea st", + "O ops", + "iment os", + "imento s", + "imen tos", + "Ġins urers", + "Ġinsure rs", + "Ġinsurer s", + "Ġhero ic", + "ĉ fields", + "ĉf ields", + "ĉfield s", + ".img ur", + ".btn Cancel", + "ĠDet ective", + "ĠDetect ive", + "( sm", + "(s m", + "ĠMutable LiveData", + ". lab", + ".l ab", + "( ([", + "(( [", + "Ġha irst", + "Ġhair st", + "Ġhai rst", + "Ġhairs t", + "Ġ Transactions", + "ĠTrans actions", + "ĠTransaction s", + "å¼Ģ å§ĭ", + "Ġ stdClass", + "Ġstd Class", + "u ento", + "uen to", + "uent o", + "G IS", + "GI S", + "_ cod", + "_c od", + "_co d", + "In structions", + "Instruction s", + "Instr uctions", + "C alls", + "Call s", + "Cal ls", + "Pointer Type", + "ĠR w", + "Ġassort ment", + "Ġ DIG", + "ĠD IG", + "ĠDI G", + "+ r", + "_ CERT", + "_C ERT", + "_CE RT", + "Ġinst ability", + "Ġv ib", + "Ġvi b", + "o nas", + "on as", + "ona s", + "Ġr oku", + "Ġro ku", + "Ġrok u", + "ap ellido", + "Ġ angl", + "Ġan gl", + "Ġang l", + "prene ur", + "Ġfl uids", + "Ġfluid s", + "Ġflu ids", + "is ease", + "ise ase", + "Ġd eed", + "Ġde ed", + "Ġdee d", + "qu ist", + "quis t", + "qui st", + "_CONST ANT", + "Ġequ ilibrium", + "_ delegate", + "_de legate", + "ĠQuant um", + "r ei", + "re i", + "Cap abilities", + "rect angle", + "? ><", + "?> <", + "a lien", + "al ien", + "ali en", + "alie n", + "ĠJ ug", + "ĠJu g", + "D NA", + "DN A", + "T ickets", + "Tick ets", + "Ticket s", + "Occ urs", + "ĠH awk", + "ĠHaw k", + "ĠHa wk", + ".setHorizontal Group", + "\\ Collection", + "\\C ollection", + "ff iti", + "ffi ti", + "Ġre arr", + "Ġrear r", + ".setVertical Group", + "Ġc avity", + "Ġcav ity", + "Ġadult e", + "Ġadul te", + "Fac ade", + "Fa cade", + "- wh", + "-w h", + "ĠL OL", + "ĠLO L", + "Ø °", + "Ġgrand parents", + "Sw ift", + "ĉ wx", + "ĉw x", + "æīĢ æľī", + "i fen", + "if en", + "ife n", + "ff set", + "B eyond", + "// }ĊĊ", + "//}Ċ Ċ", + "Ġw ager", + "Ġwa ger", + "Ġwage r", + "Ġwag er", + "Ġ bury", + "Ġb ury", + "Ġbu ry", + "Ġbur y", + "Ġcomm ence", + "Ġcomme nce", + "Ġcommenc e", + "reg istro", + "registr o", + "regist ro", + "s cient", + "sc ient", + "sci ent", + "Ġ Percent", + "ĠPer cent", + "ĠPerc ent", + "Ġд олж", + "Ġдол ж", + "( identifier", + "(id entifier", + "(ident ifier", + ".set Model", + "Ġs eldom", + "Ġsel dom", + "n ton", + "nt on", + "Ġap pliance", + "Ġappl iance", + "a mus", + "am us", + "amu s", + "rys ler", + "Ġpan ties", + "Ġpant ies", + "engu ins", + "enguin s", + "Ġmi mic", + "Ġmim ic", + "Ġon Changed", + "ĠonChange d", + "Ġal coholic", + "Ġalcohol ic", + ".reload Data", + "Ch arge", + "Char ge", + "Ġ Fax", + "ĠF ax", + "ĠFa x", + "Ġj ScrollPane", + "Emp resa", + "Ġsh attered", + "x ba", + "xb a", + "Font s", + "Fo nts", + "? s", + "Ġpost season", + "re tain", + "ret ain", + "reta in", + "_ rates", + "_r ates", + "_rate s", + "_ra tes", + "_rat es", + "Ġ requestCode", + "Ġrequest Code", + ". todo", + ".t odo", + ".to do", + "´ s", + "C HK", + "CH K", + "Ġ Keeping", + "ĠKe eping", + "ĠKeep ing", + "ĠKee ping", + "enge ance", + "Ġvs code", + "IP PING", + "IPP ING", + "Default CloseOperation", + "_ raise", + "_r aise", + "_ra ise", + "ĠO culus", + "ĠOc ulus", + "o grams", + "og rams", + "ogram s", + "ogr ams", + "ogra ms", + "r aj", + "ra j", + "p ci", + "pc i", + "Ġcorros ion", + ". handleSubmit", + ".handle Submit", + "Access ible", + "ĠP iano", + "ĠPi ano", + "l ittle", + "lit tle", + "A CL", + "AC L", + "Äĩ e", + ". unwrap", + ".un wrap", + "ĠCon vers", + "ĠConv ers", + "ĠLe ben", + "ion eer", + "ione er", + "Ġ Merchant", + "ĠM erchant", + "ĠMer chant", + "ĠMerch ant", + "ĠJ orge", + "Ġembr acing", + "Ġ venta", + "Ġv enta", + "Ġvent a", + "Ġven ta", + "á st", + "ás t", + "Ġv iene", + "Ġvi ene", + "Ġvie ne", + "< QString", + "Ċ", + "-g rowing", + "-gr owing", + "-grow ing", + "Ġdeep copy", + "A ck", + "Ac k", + "eg gies", + "egg ies", + "Ġ __(\"", + "Ġ_ _(\"", + "Ġ__ (\"", + "Ġ__( \"", + "Ġn oir", + "Ġno ir", + "Ġnoi r", + "terror ism", + "Ġan them", + "Ġant hem", + "Ġanth em", + "a gency", + "ag ency", + "age ncy", + "agen cy", + "_ PACKAGE", + "_PACK AGE", + "Ġ Closure", + "ĠC losure", + "ĠClo sure", + ". registry", + ".reg istry", + "Ġmamm als", + "Ġmamma ls", + "< L", + "U ICollectionView", + "UI CollectionView", + "ĠLE Ds", + "ĠLED s", + "Ġv olley", + "Ġvol ley", + "Ġvoll ey", + "( Buffer", + "(B uffer", + "_N ATIVE", + "li bc", + "lib c", + "im plode", + "impl ode", + "Scroll Bar", + "ĠMar ion", + "ĠMario n", + "ĠMari on", + ". Contracts", + ".Con tracts", + ".Contract s", + "_ At", + "_A t", + "ĠWe instein", + "ĠWein stein", + "compare To", + "ĠH ose", + "ĠHo se", + "ĠHos e", + "en ity", + "eni ty", + ". createQuery", + ".create Query", + "_ router", + "_r outer", + "_ro uter", + "_route r", + "Ġstim uli", + "Ġ ++)", + "Ġ+ +)", + "Ġ++ )", + "ĠCh amp", + "ĠCha mp", + "ĠCham p", + "ĠBay ern", + "ĠBayer n", + "a ssa", + "as sa", + "ass a", + ". va", + ".v a", + "Ġdistrib utors", + "Ġdistributor s", + "Ġfile private", + "Ġdepart ed", + "c ccc", + "cc cc", + "ccc c", + "@ click", + "@c lick", + "ĠL unch", + "ĠLun ch", + "> L", + "Ġb luetooth", + "Ġbl uetooth", + ". Deep", + ".De ep", + "- standing", + "-st anding", + "á cil", + "ác il", + "áci l", + "Ġro oft", + "Ġroof t", + "Ġ Paths", + "ĠP aths", + "ĠPat hs", + "ĠPath s", + "ĠPa ths", + "_ iterations", + "_iter ations", + "_iteration s", + "Invalid ArgumentException", + ". spi", + ".s pi", + ".sp i", + "Ġ UIAlertAction", + "ĠUIAlert Action", + "u ye", + "uy e", + "sign in", + "sig nin", + ". priority", + ".p riority", + "ĠEs says", + "ĠEss ays", + "ĠEssay s", + "=' {$", + "='{ $", + "Ġ è¿ĶåĽŀ", + "Ġè¿ ĶåĽŀ", + "_ signed", + "_s igned", + "_sign ed", + "_sig ned", + ". persist", + ".p ersist", + "Ġre design", + "Ġred esign", + "Ġrede sign", + "Ġredes ign", + "To Lower", + "ĠNew man", + "= start", + "ĠIsrael is", + "ĠIsraeli s", + "as iswa", + "asis wa", + "S peech", + "Spe ech", + "Ġnum eros", + "Ġnumer os", + "Ġnumero s", + "handle rs", + "hand lers", + "handler s", + "ĠW ong", + "ĠWo ng", + "ĠWon g", + "Ġм еÑĤод", + "ĠмеÑĤ од", + "We ights", + "Weight s", + "ĠGu jar", + "t eil", + "te il", + "ĠNone theless", + "ĠNon etheless", + "_E FFECT", + "Ġ vect", + "Ġv ect", + "Ġve ct", + "Ġvec t", + "ĠO sc", + "ĠOs c", + "Ġco ats", + "Ġcoat s", + "ĠW heat", + "ĠWh eat", + "ĠWhe at", + "Ġge ek", + "Ġgee k", + "Ġ PROPERTY", + "ĠP ROPERTY", + "ĠPRO PERTY", + "w orm", + "wo rm", + "wor m", + "_ constants", + "_con stants", + "_const ants", + "_constant s", + "ĠB oulder", + "ĠBou lder", + "Ġ Parm", + "ĠP arm", + "ĠPar m", + "ĠPa rm", + "c ole", + "co le", + "col e", + "Ġdefault Center", + "ĠRo uge", + "ĠRou ge", + ": A", + "x cf", + "xc f", + "ĠVen ice", + "ĠVe nice", + "m edian", + "med ian", + "medi an", + "media n", + "Ġred emption", + "F resh", + "Fr esh", + "Fre sh", + "Ġco sm", + "Ġcos m", + "Ġ figur", + "Ġfig ur", + "Ġref urb", + "CO PE", + ". cd", + ".c d", + "Ġch ords", + "Ġchord s", + "Ġchor ds", + "ĠS gt", + "Å į", + "V PN", + "VP N", + "Ġ SEND", + "ĠS END", + "ĠSE ND", + "ĠSEN D", + "a inen", + "ain en", + "ai nen", + "aine n", + "_ accounts", + "_account s", + "_ac counts", + "Ġt enth", + "Ġte nth", + "Ġten th", + "Ġtent h", + "Ġdiss olved", + "Ġdissolve d", + "< App", + "", + "Ġ' >", + "Ġlegitim acy", + "Ġ oo", + "Ġo o", + "S linky", + "Sl inky", + "Ġnational s", + "Ġnation als", + ". words", + ".w ords", + ".word s", + "; p", + "t rap", + "tr ap", + "tra p", + "oman ip", + "oma nip", + "Ġc ues", + "Ġcu es", + "Ġcue s", + "Ġgrad uating", + "Ġgradu ating", + "Ġsem aphore", + "\" ]);ĊĊ", + "\"] );ĊĊ", + "\"]) ;ĊĊ", + "\"]);Ċ Ċ", + "\"]); ĊĊ", + "ace y", + "ac ey", + "RE ET", + "REE T", + "G rab", + "Gr ab", + "ĠF elix", + "ĠFe lix", + "ĠFel ix", + "( Id", + "(I d", + "_ neighbors", + "_ne ighbors", + "_neighbor s", + "Ġmeaning less", + "( del", + "(d el", + "(de l", + "Ġj eder", + "Ġje der", + "Ġjed er", + "Ġjede r", + "ĠContent Values", + ". absolute", + ".a bsolute", + ".abs olute", + "/ cl", + "/c l", + "Ġ xb", + "Ġx b", + "d atum", + "dat um", + "Ġtort ured", + "Ġtorture d", + "Ġrub bing", + "Ġru bbing", + "S cores", + "Sc ores", + "Score s", + "ĠðŁĺ ī", + "Ġav ons", + "Ġam sterdam", + "E OS", + "EO S", + "H al", + "Ha l", + "Ġtrust worthy", + "# =", + ".EX TRA", + "Ġm ano", + "Ġman o", + "Ġma no", + "is icing", + "isi cing", + "- support", + "-s upport", + "-sup port", + "ĉ cursor", + "ĉc ursor", + "Ġ Spo", + "ĠS po", + "ĠSp o", + "ai massage", + "aim assage", + "M ission", + "Miss ion", + "[] {\"", + "[]{ \"", + "Ġpr inters", + "Ġprint ers", + "Ġprinter s", + "Ġprin ters", + "G REEN", + "GRE EN", + "GREE N", + "Ġ teg", + "Ġt eg", + "Ġte g", + "Ġabdom inal", + "! ĊĊĊĊĊĊ", + "!ĊĊ ĊĊĊĊ", + "!Ċ ĊĊĊĊĊ", + "!ĊĊĊĊ ĊĊ", + "!ĊĊĊ ĊĊĊ", + ". Short", + ".S hort", + ".Sh ort", + "а зв", + "аз в", + "ĠGi fts", + "ĠGift s", + "} \")", + "}\" )", + "( binding", + "(b inding", + "(bin ding", + "(bind ing", + "x ce", + "xc e", + "âĢ ij", + "in fos", + "info s", + "inf os", + "Form Data", + "Ġ dart", + "Ġd art", + "Ġda rt", + "Ġdar t", + "Ġ elems", + "Ġe lems", + "Ġel ems", + "Ġele ms", + "Ġelem s", + "( inv", + "(i nv", + "(in v", + "Y L", + "t in", + "ti n", + "G ENER", + "GE NER", + "GEN ER", + "á» ¯", + "Ġ Taken", + "ĠT aken", + "ĠTake n", + "ĠTa ken", + "ĠTak en", + "uc kle", + "uck le", + ": e", + "Ġs pectral", + "Ġspect ral", + "Ġspectra l", + ".b aidu", + "/ ');Ċ", + "/' );Ċ", + "/') ;Ċ", + "Ġgre edy", + "Ġgreed y", + "es ion", + "esi on", + ",,,, ,,,,", + "Ġ/ >,Ċ", + "Ġ/> ,Ċ", + "Ġ/>, Ċ", + "Internal ServerError", + "NS NotificationCenter", + "NSNotification Center", + "Ġ Ai", + "ĠA i", + "Ġs pit", + "Ġsp it", + "Ġspi t", + "Ġaug mented", + "Ġaugment ed", + "Ġstandard UserDefaults", + "FIN ITY", + "R ace", + "Ra ce", + ": C", + "ĠRE CORD", + "ĠREC ORD", + "Ġ Highlight", + "ĠHigh light", + "Ġ' `", + "Ġdef icits", + "Ġdeficit s", + "Ġn ei", + "Ġne i", + "Ġresearch ed", + "T a", + "Ġc opp", + "Ġco pp", + "Ġcop p", + ".Get HashCode", + ") :čĊčĊ", + "): čĊčĊ", + "):čĊ čĊ", + "On Click", + "ĠWell ington", + "ĠWel lington", + "Ġrev ival", + "æ¯ Ķ", + "éĹ ®", + "Ġ NSS", + "ĠN SS", + "ĠNS S", + "Ġf orn", + "Ġfor n", + "Ġfo rn", + "Ġin té", + "Ġint é", + "ĠKu wait", + "_ flip", + "_f lip", + "_fl ip", + "_ bo", + "_b o", + "_ \\", + "Ġocc urrences", + "Ġoccurrence s", + "Ġ Scientists", + "ĠScient ists", + "ĠScientist s", + "S RC", + "SR C", + "o gens", + "og ens", + "ogen s", + "oge ns", + "i grant", + "ig rant", + "igr ant", + "RE MOTE", + "REM OTE", + "Ġ SID", + "ĠS ID", + "ĠSI D", + ". opts", + ".op ts", + ".o pts", + ".opt s", + "u ve", + "uv e", + "( )])Ċ", + "() ])Ċ", + "()] )Ċ", + "Ġlibert arian", + "ĠG lide", + "ĠGl ide", + "l esen", + "le sen", + "les en", + "Ġ forme", + "Ġfor me", + "Ġform e", + "ow ania", + "owa nia", + "owan ia", + "Ġannoy ed", + "D efs", + "De fs", + "Def s", + "Ġ Executor", + "ĠExec utor", + "Ġ casts", + "Ġc asts", + "Ġca sts", + "Ġcas ts", + "Ġcast s", + ". setChecked", + ".set Checked", + "Ġ Sharing", + "ĠSh aring", + "ĠSha ring", + "ĠShar ing", + ".Serialize Object", + "Ġ selectors", + "Ġselect ors", + "Ġselector s", + "Ġsel ectors", + "Ġsele ctors", + "_ OTHER", + "_OT HER", + "ë ¯¸", + "ë¯ ¸", + "( super", + "(s uper", + "( OS", + "(O S", + "_ VERIFY", + "_VER IFY", + "id unt", + "< header", + "';Ċ", + "Ġ/> ';Ċ", + "Ġ/>' ;Ċ", + "Ġvid éo", + "Ġvidé o", + "ĠNe gro", + "ĠNeg ro", + "ĠL ords", + "ĠLord s", + "ĠLor ds", + "ĠT ours", + "ĠTo urs", + "ĠTour s", + "ĠTou rs", + "Ġsoft ly", + ". receive", + ".re ceive", + "Ġ ERC", + "ĠE RC", + "ĠER C", + "Ġdata Set", + "B adge", + "Bad ge", + "Ba dge", + "ĉ Event", + "ĉE vent", + "Ġ perl", + "Ġper l", + "Ġpe rl", + "Ġ {}\\", + "Ġ{ }\\", + "Ġ{} \\", + "( sentence", + "(s entence", + "(sent ence", + "Or Update", + "Ġdim inish", + "Ġdimin ish", + "P IN", + "PI N", + "( draw", + "(d raw", + "(dr aw", + ".To DateTime", + ". EqualTo", + ".Equal To", + "( pin", + "(p in", + "(pi n", + "-p encil", + "l uent", + "lu ent", + "lue nt", + "Ġ Caller", + "ĠC aller", + "ĠCal ler", + "ĠCall er", + "ĠCa ller", + "Ġplay ful", + "- '+", + "-' +", + "x ca", + "xc a", + "s wick", + "sw ick", + ") {}Ċ", + "){ }Ċ", + "} :${", + "}: ${", + "ĠM eth", + "ĠMe th", + "ĠMet h", + ". getCell", + ".get Cell", + ".getC ell", + ". break", + ".b reak", + "Ġ ymax", + "Ġy max", + "=' Ċ", + "}`} >Ċ", + "ĠH iro", + "ĠHi ro", + "ĠHir o", + "( TRUE", + "(TR UE", + "as urer", + "asure r", + "asu rer", + "Ġc uer", + "Ġcu er", + "Ġcue r", + "U ber", + "Ub er", + ". Operation", + ".O peration", + ".Op eration", + "Ġ olan", + "Ġo lan", + "Ġol an", + "Ġola n", + "Ġthr illing", + "Ġthrill ing", + "< Response", + "ĠF emin", + "ĠFe min", + "ĠFem in", + "Ġtr aversal", + "Ġtravers al", + "Ġp oc", + "Ġpo c", + "Ġ setStatus", + "Ġset Status", + "de clar", + "dec lar", + "decl ar", + "std afx", + "Ġaddict ive", + "Ġ Btn", + "ĠB tn", + "Ġexplos ives", + "Ġexplosive s", + "ĠCo oking", + "ĠCook ing", + "ĠPl aint", + "ĠPlain t", + "ĠPla int", + "Ġ accumulator", + "Ġaccum ulator", + "Ġ Appointment", + "ĠApp ointment", + ", password", + ",p assword", + "ĠF AR", + "ĠFA R", + "l uet", + "lu et", + "lue t", + "Further more", + "decl spec", + "_ Statics", + "_Static s", + "_St atics", + ". Dictionary", + ".D ictionary", + "\" >'.", + "\"> '.", + "\">' .", + "ĉ valid", + "ĉval id", + "ĉva lid", + "\" \",", + "\"\" ,", + "In strument", + "Instr ument", + "> J", + "Ġno str", + "Ġnos tr", + "Ġnost r", + "ĠR ift", + "ĠRi ft", + "ĠRif t", + "_ Port", + "_P ort", + "Ġve ces", + "Ġvec es", + "[ ['", + "[[ '", + "Ġrall ies", + "- series", + "-s eries", + "-se ries", + "-ser ies", + "Ġ vv", + "Ġv v", + ". uc", + ".u c", + "Ġr tn", + "Ġrt n", + "State Changed", + "( ins", + "(i ns", + "(in s", + "Ġ Cla", + "ĠC la", + "ĠCl a", + "- -----------Ċ", + "-- ----------Ċ", + "---- --------Ċ", + "-------- ----Ċ", + "--- ---------Ċ", + "------------ Ċ", + "----- -------Ċ", + "---------- --Ċ", + "------ ------Ċ", + "----------- -Ċ", + "------- -----Ċ", + "--------- ---Ċ", + "c us", + "cu s", + "Ġ Reload", + "ĠR eload", + "ĠRe load", + "ĠRel oad", + "// ------------------------------------------------------------------------------------------------", + "//---------------------------------------------------------------- --------------------------------", + "//---------------------------------------------------------------------------- --------------------", + "//------------------------------------------------ ------------------------------------------------", + "//-------------------------------- ----------------------------------------------------------------", + "//-------------------------------------------------------------------------------- ----------------", + "//---------------- --------------------------------------------------------------------------------", + ". seconds", + ".se conds", + ".second s", + ".sec onds", + "_ destination", + "_d estination", + "_dest ination", + "Ġscre wed", + "Ġscr ewed", + "Ġscrew ed", + "> c", + "Th ickness", + "Des igner", + "Design er", + "Ġgr ids", + "Ġgrid s", + "Ġgri ds", + "n Äħ", + "( cookie", + "(c ookie", + "(co okie", + "T rip", + "Tr ip", + "Tri p", + "- Mobile", + "-M obile", + "Ġv oll", + "Ġvo ll", + "Ġvol l", + "Ġgen ital", + "Ġconf isc", + "ĠConfeder ate", + "Ġ webView", + "Ġweb View", + "Ġ mise", + "Ġm ise", + "Ġmis e", + "Ġmi se", + "Ġc ler", + "Ġcl er", + "Ġcle r", + "( selection", + "(s election", + "(se lection", + "(select ion", + "(sel ection", + "$ date", + "$d ate", + "Ġsharp en", + "Ġshar pen", + "r agen", + "ra gen", + "rag en", + "rage n", + "And Update", + "Ġre mix", + "Ġrem ix", + "Ġh tons", + "Ġht ons", + "Ġhton s", + "R W", + "M PI", + "MP I", + "Ġretrie val", + "Ġretr ieval", + "Ġrich est", + "Ġri chest", + "Ġric hest", + "Ġriches t", + ". Decode", + ".De code", + ".Dec ode", + ":init Components", + "ĠT Value", + "ĠTV alue", + "S aint", + "Sa int", + "@ include", + "Ġ PERSON", + "ĠPER SON", + ". sep", + ".s ep", + ".se p", + "Ġ LDAP", + "ĠLD AP", + "g ba", + "gb a", + "Ġgro ÃŁe", + "ĠgroÃŁ e", + "Ġreli ably", + "Ġ DFS", + "ĠD FS", + "ĠDF S", + ".get ItemId", + ".getItem Id", + "Ġpré sent", + "Ġprés ent", + ". getToken", + ".get Token", + "Ġch inese", + "Ġchin ese", + "Ġ Meal", + "ĠMe al", + "Y OU", + "YO U", + "\" > >ĊĊ", + "Ġ> >ĊĊ", + "Ġ>> ĊĊ", + "b ower", + "bo wer", + "bow er", + "Ġsw apped", + "Ġswap ped", + "/ install", + "Ġs inks", + "Ġsin ks", + "Ġsink s", + "etr ize", + "etri ze", + "Ġdec lines", + "Ġdecl ines", + "Ġdecline s", + "ĉ mysql", + "ĉm ysql", + "ĉmy sql", + "Ġ CString", + "ĠC String", + "ĠCS tring", + "ĠM otionEvent", + "ĠMotion Event", + ". Language", + ".L anguage", + "R oad", + "Ro ad", + "ÑĤ еÑĢ", + "ÑĤе ÑĢ", + "asc imento", + "' ))->", + "') )->", + "')) ->", + ". about", + ".a bout", + ".ab out", + "( editor", + "(e ditor", + "(ed itor", + "(edit or", + "ĠR atings", + "ĠRa tings", + "ĠRating s", + "ĠRat ings", + "in come", + "inc ome", + "Å¡ e", + ".de queueReusableCell", + "ĠAust rian", + "ĠAustria n", + "ĠAustr ian", + "Ġs ulla", + "Ġsu lla", + "Ġsul la", + "ĠTrib unal", + "Ġ Didn", + "ĠDi dn", + "ĠDid n", + "о ваÑĢ", + "ов аÑĢ", + "ова ÑĢ", + "Ġins pections", + "Ġinspect ions", + "Ġinspection s", + "Ġinsp ections", + "B oss", + "Bo ss", + "Ġcock tails", + "Ġcocktail s", + "Ġapolog ized", + "Ġapologize d", + "_ subplot", + "_sub plot", + "o pal", + "op al", + "opa l", + "+ =(", + "+= (", + "Ġreson ance", + "i bu", + "ib u", + "Ġ 리", + "Ġë ¦¬", + "Ġë¦ ¬", + "r oma", + "ro ma", + "rom a", + "re serve", + "res erve", + "rese rve", + "p ls", + "pl s", + "ĠT ah", + "ĠTa h", + "a xies", + "ax ies", + "O PLE", + "OP LE", + "ĠDar ren", + "ĠZ ombie", + "_ Map", + "_M ap", + "Ġ ])ĊĊ", + "Ġ] )ĊĊ", + "Ġ])Ċ Ċ", + "Ġ]) ĊĊ", + "Ġ Qi", + "ĠQ i", + "ĠS ail", + "ĠSa il", + "ĠSai l", + "Ġrestrict ive", + "Ġeros ion", + "- par", + "-p ar", + "W HITE", + "WH ITE", + "Ġold u", + "Ġol du", + "Ġap erture", + "Ġbit coins", + "Ġbitcoin s", + "text o", + "tex to", + "ĠCom cast", + "Ġtime less", + "Ġtim eless", + "en kins", + "enk ins", + "Ġfe eder", + "Ġfeed er", + "Ġfee der", + "/ tmp", + "/t mp", + "res den", + "+ '_", + "+' _", + ". Destroy", + ".D estroy", + ".De stroy", + "Ġ çok", + "Ġç ok", + "Ġ DOCUMENT", + "ĠD OCUMENT", + "ĠDOC UMENT", + ". lng", + ".l ng", + ". tagName", + ".tag Name", + "Ġk ullan", + "Ġkul lan", + "eg rate", + "egr ate", + "egra te", + "Ġ( *.", + "Ġ(* .", + "ç¼ĸ è¾ij", + "Ġhand shake", + "s oc", + "so c", + "_ geometry", + "_ge ometry", + "_geo metry", + "_geom etry", + "ĠDam ascus", + "Min or", + "Mi nor", + "ĠK afka", + "ĠKaf ka", + "ìĹ ¬", + "Fl orida", + "_ compute", + "_com pute", + "_comp ute", + ". expr", + ".ex pr", + ".exp r", + "Ġ paralle", + "Ġpar alle", + "Ġpara lle", + "ĠD iaz", + "ĠDi az", + "ĠDia z", + "c ir", + "ci r", + "[ target", + "[t arget", + "Ġj oking", + "Ġjo king", + "Ġg lor", + "Ġgl or", + "Ġglo r", + "( setq", + "(set q", + "_ handlers", + "_handler s", + "_handle rs", + "_hand lers", + "H ang", + "Ha ng", + "Han g", + "Ġf err", + "Ġfe rr", + "Ġfer r", + "r iminal", + "rim inal", + "ĉ ĠĠĠĠĉĉ", + "ĉĠĠĠ Ġĉĉ", + "ĉĠ ĠĠĠĉĉ", + "ĉĠĠ ĠĠĉĉ", + "ĉĠĠĠĠ ĉĉ", + "ĉĠĠĠĠĉ ĉ", + "en ties", + "ent ies", + "enti es", + "def ines", + "define s", + "- tax", + "-t ax", + "json p", + "Ġ UPS", + "ĠU PS", + "ĠUP S", + "m etro", + "me tro", + "met ro", + "_ _;Ċ", + "__ ;Ċ", + "__; Ċ", + "ĠUg anda", + "] )):Ċ", + "]) ):Ċ", + "])) :Ċ", + "_ td", + "_t d", + "x ae", + "xa e", + "l w", + ". OS", + ".O S", + "Ġ Logged", + "ĠLog ged", + "a cid", + "ac id", + "aci d", + "ĠM ayo", + "ĠMay o", + "ĠMa yo", + "a spect", + "as pect", + "asp ect", + "Ġvag inal", + "Ġvagina l", + "Ġinitial izing", + "Ġste roids", + "Ġster oids", + "Ġsteroid s", + "f iction", + "fi ction", + "fic tion", + "G RE", + "GR E", + "g end", + "ge nd", + "gen d", + "Ġli abilities", + "Ġ Lets", + "ĠL ets", + "ĠLe ts", + "ĠLet s", + "M ech", + "Me ch", + "( nc", + "(n c", + "( change", + "(ch ange", + "(chan ge", + "Ġconn ectors", + "Ġconnect ors", + "Ġconnector s", + ": k", + "Ġt ast", + "Ġta st", + "Ġtas t", + "! \");ĊĊ", + "!\" );ĊĊ", + "!\");Ċ Ċ", + "!\"); ĊĊ", + "!\") ;ĊĊ", + "th ings", + "thing s", + "thin gs", + "r ophy", + "ro phy", + "rop hy", + "roph y", + "l uetooth", + "lu etooth", + "luet ooth", + "Ġ SignUp", + "ĠSign Up", + ". ctrl", + ".c trl", + ".ct rl", + "Ġthere in", + "Ġther ein", + "or da", + "ord a", + ". escape", + ".e scape", + ".es cape", + "ig ator", + "iga tor", + "Ġpet rol", + "Ġspec imen", + "Ġspeci men", + "Ġdeb uted", + "Ġdebut ed", + "- Pro", + "-P ro", + "Ġcr ises", + "Ġcri ses", + "Ġcris es", + ".add View", + "ëı Ļ", + "- door", + "-d oor", + "-do or", + "Ġm onet", + "Ġmon et", + "Ġmo net", + "Ġm illis", + "Ġmill is", + "Ġmil lis", + "Ġmilli s", + "Ġ vier", + "Ġv ier", + "Ġvi er", + "Ġvie r", + "Internal Enumerator", + "Ġ admins", + "Ġad mins", + "Ġadmin s", + "Ġadm ins", + "ĠL air", + "ĠLa ir", + "z in", + "zi n", + "get Query", + "um bles", + "umb les", + "umble s", + "L IMIT", + "LI MIT", + "ĠV ig", + "ĠVi g", + "_ song", + "_s ong", + "_so ng", + "< Character", + ": :.", + ":: .", + "_ hom", + "_h om", + "_ bp", + "_b p", + "ĠSup ervisor", + "ĠSuper visor", + "ĠSuperv isor", + "sub mission", + "ab ile", + "abil e", + "abi le", + "Ġn oi", + "Ġno i", + "Or Create", + "Ġp eel", + "Ġpe el", + "Ġpee l", + "Ġon Start", + "Ġsent iments", + "Ġsentiment s", + "v ehicles", + "veh icles", + "vehicle s", + "Ġclass rooms", + "Ġclassroom s", + "Ġs zer", + "Ġsz er", + "Ġb ending", + "Ġben ding", + "Ġbend ing", + "Ġlong evity", + "Ġ acl", + "Ġa cl", + "Ġac l", + "ĠAle ppo", + "Ġ UM", + "ĠU M", + "ĠR icht", + "ĠRich t", + "ĠRic ht", + "ĠRi cht", + "Ġmulti processing", + "Ġmultip rocessing", + "DO MAIN", + "DOM AIN", + "\", \"+", + "\",\" +", + "_ YEAR", + "_Y EAR", + "Ġsc rape", + "Ġscr ape", + "Ġscrap e", + "Ġsol itary", + "Ġ\" ]\";Ċ", + "Ġ\"] \";Ċ", + "Ġ\"]\" ;Ċ", + "/ errors", + "/error s", + "ìŀ ¬", + "ľ ëł¥", + "b etter", + "bet ter", + "bett er", + "bette r", + "ĉ number", + "ĉn umber", + "ĉnum ber", + "Ġ LF", + "ĠL F", + "Ġ Across", + "ĠA cross", + "ĠAc ross", + "Pub Med", + "\\ \"\"", + "\\\" \"", + "ĠExcell ence", + "Ġus ando", + "Ġusa ndo", + "ĠU IP", + "ĠUI P", + "Activity Indicator", + "_ VOID", + "_V OID", + "_VO ID", + "Ġbre eds", + "Ġbreed s", + "Ġbree ds", + "ï½ ¥", + "ues tas", + "uest as", + "uesta s", + "ĠTre asure", + "ustr alian", + "ustral ian", + "ustralia n", + "( face", + "(f ace", + "ĠT ennis", + "ĠTen nis", + "ĠTenn is", + "ĉ Int", + "ĉI nt", + "ĉIn t", + "ĠH ansen", + "ĠHan sen", + "ĠHans en", + "ç µ", + ": I", + "Ġ âľĶ", + "Ġâľ Ķ", + "G RAY", + "GR AY", + "GRA Y", + "O USE", + "OU SE", + "OUS E", + "Ġhe pat", + "Ġhep at", + "ł í", + "A IR", + "AI R", + "ó ż", + "Ġ queued", + "Ġque ued", + "Ġqueue d", + "vin cia", + "vi ncia", + "vinc ia", + "ĠCh romium", + "ĠChrom ium", + "Ġcompet ence", + "Ġcompete nce", + "un gal", + "ung al", + "unga l", + "i lli", + "il li", + "ill i", + "Ġget By", + "Ġ Finder", + "ĠF inder", + "ĠFin der", + "ĠFind er", + "ĠFi nder", + "Ġincap able", + "Ġs add", + "Ġsa dd", + "Ġsad d", + "Ġc ites", + "Ġcit es", + "Ġci tes", + "Ġcite s", + "ĠChurch ill", + "S dk", + "More over", + "A spNet", + "As pNet", + "( Float", + "(F loat", + "$ password", + "$p assword", + "Ġ Connor", + "ĠCon nor", + "ĠConn or", + "- session", + "-s ession", + "_ dm", + "_d m", + "* ))", + "*) )", + "Ġde utsch", + "Ġdeut sch", + "Ġ NX", + "ĠN X", + "Ġper ks", + "Ġperk s", + "_ SORT", + "_S ORT", + "_SO RT", + "_TO OL", + "_TOO L", + "_ VISIBLE", + "_V ISIBLE", + "_VIS IBLE", + ". asp", + ".as p", + ".a sp", + "æĪ ĸ", + "ĠBre ath", + "D etect", + "Det ect", + "ĠD uel", + "ĠDu el", + "ĠDue l", + ". cmb", + ".c mb", + ".cm b", + "[ it", + "[i t", + ".Set Bool", + "Ġnarc iss", + "Ġab ide", + "Ġabi de", + "Ġej emplo", + "ĠâĦ ķ", + "Ġm ornings", + "Ġmor nings", + "Ġmorning s", + "Ġcomp utes", + "Ġcomput es", + "Ġcompute s", + ". ssl", + ".s sl", + ".ss l", + "j t", + "Ġm uchos", + "Ġmuch os", + "Ġmu chos", + "Ġmucho s", + "Ġmuc hos", + "_ SS", + "_S S", + "[ end", + "[e nd", + "Ġb asin", + "Ġbas in", + "Ġba sin", + "Ġalg unos", + "Ġalgun os", + "ĠCroat ia", + "line width", + "lin ewidth", + "( tags", + "(t ags", + "(tag s", + "( hidden", + "(h idden", + "ÃŃ cio", + "ÃŃc io", + "Ġa par", + "Ġap ar", + "Ġapa r", + "Ġ ж", + "ĠÐ ¶", + "ä¸ İ", + ". food", + ".f ood", + ".foo d", + "ĠR ural", + "ĠRu ral", + "Ġbread th", + "å½ ±", + "( sess", + "(s ess", + "(se ss", + "+ \")", + "+\" )", + "Ġ Paste", + "ĠP aste", + "ĠPa ste", + "ĠPast e", + "ĠPas te", + "Ġserv idor", + "ĠBit Set", + "ĠT ran", + "ĠTr an", + "ĠTra n", + "l aus", + "la us", + "v ette", + "ve tte", + "vet te", + "e yes", + "ey es", + "eye s", + "Ġ CLICK", + "ĠCL ICK", + "ĠCLI CK", + "ĠV III", + "ĠVI II", + "ĠVII I", + "ĠTur ns", + "ĠTurn s", + "ĠLe Bron", + "ĠM uj", + "ĠMu j", + "Ġ Deg", + "ĠD eg", + "ĠDe g", + "ĠAd ults", + "ĠAdult s", + "_ suite", + "_s uite", + "_su ite", + "process able", + "Ġ PHY", + "ĠP HY", + "ĠPH Y", + "g hest", + "gh est", + ". Fail", + ".F ail", + "ĠS lack", + "ĠSl ack", + "c ej", + "ce j", + "\\ Carbon", + "\\C arbon", + "Ġsuper star", + "Ġsupers tar", + "Ġsuperst ar", + "Ġhold ings", + "Ġholding s", + "Ġhol dings", + "( forms", + "(form s", + "(for ms", + "Ġ' #'", + "Ġ'# '", + "M ultip", + "Multi p", + "Mult ip", + "Mul tip", + "(\" [%", + "(\"[ %", + "- solid", + "-s olid", + "-so lid", + "/ url", + "/u rl", + "- tier", + "-t ier", + "[ length", + "[l ength", + "[len gth", + "Ġ StreamWriter", + "ĠStream Writer", + "ĠMarket place", + "get text", + "gett ext", + "_T ICK", + "_TI CK", + "Ġ Forge", + "ĠF orge", + "ĠFor ge", + "ĠForg e", + "Ġblack jack", + "ĠDO ES", + "ĠDOE S", + "ĠM atters", + "ĠMat ters", + "ĠMatt ers", + "ĠMatter s", + "ĠMatte rs", + "w aves", + "wa ves", + "wave s", + "wav es", + "Ġwhisper ed", + "Ġ lush", + "Ġl ush", + "Ġlu sh", + "ìĺ ¤", + "d igital", + "digit al", + "dig ital", + "Ġw rink", + "Ġwr ink", + "ĠH ogan", + "ĠHo gan", + "ĠHog an", + "Ġrust ic", + "Ġrus tic", + ".Apply Resources", + "ĠH ardy", + "ĠHar dy", + "ĠHard y", + "os omes", + "oso mes", + "osome s", + "A UT", + "AU T", + ". STATE", + ".ST ATE", + "Ġnarr atives", + "Ġnarrative s", + "ĉ store", + "ĉst ore", + "b ib", + "bi b", + "ĉ Scanner", + "ĠC ody", + "ĠCo dy", + "ĠCod y", + "\\ Repositories", + "Ġre union", + "Ġreun ion", + "an dum", + "and um", + "âĢĻ h", + "Ġsn iff", + "NS Bundle", + "Ġcompreh end", + "_ USAGE", + "_US AGE", + "_ occ", + "_o cc", + "_oc c", + "URRE NCY", + "J NI", + "Ġspecial izing", + "Ġ visions", + "Ġv isions", + "Ġvis ions", + "Ġvision s", + "Ġdo lore", + "Ġdol ore", + "Ġdolor e", + "Ġ vá", + "Ġv á", + "ĠChe vy", + "Ġ Styled", + "ĠSt yled", + "ĠStyle d", + "ĠSty led", + "imp act", + "a llen", + "al len", + "all en", + "alle n", + "Ġ kart", + "Ġk art", + "Ġka rt", + "Ġkar t", + "ĠTable t", + "ĠTab let", + "st uff", + "stu ff", + "re esome", + "ree some", + "rees ome", + "а ÑĤоÑĢ", + "аÑĤ оÑĢ", + "аÑĤо ÑĢ", + "//---------------------------------------------------------------- -----------Ċ", + "//- --------------------------------------------------------------------------Ċ", + "_ Admin", + "_Ad min", + "Ġcell phone", + "Ġ autoplay", + "Ġaut oplay", + "Ġauto play", + "Ġautop lay", + "Ġc ambio", + "Ġcam bio", + "Ġcamb io", + "Ġcambi o", + "Ġmar itime", + "Ġmari time", + "_ BOOT", + "_B OOT", + "_BO OT", + "- quarter", + "-qu arter", + "Ġlat ina", + "Ġlatin a", + "ĠAJ AX", + "e quiv", + "equ iv", + "ĠFront ier", + "Ġ XY", + "ĠX Y", + "} ]Ċ", + "}] Ċ", + "ĠR ough", + "ĠRo ugh", + "ĠRou gh", + ". proto", + ".pro to", + ".prot o", + ".pr oto", + "Ġcorrect ness", + "Ġfa cil", + "Ġfac il", + "Ġ Reached", + "ĠRe ached", + "ĠReach ed", + "ãģĿ ãģ®", + "V IS", + "VI S", + ". ps", + ".p s", + "Ġstr ncpy", + "Ġdif fusion", + "Ġdiff usion", + ".start Activity", + "� ��", + "�� �", + "Ġacc omp", + "Ġac comp", + "Ġaccom p", + "AME SPACE", + "AMES PACE", + "imon ials", + "imonial s", + "ĠB last", + "ĠBl ast", + "aby rin", + "Ġd ome", + "Ġdo me", + "Ġdom e", + "Ġext rav", + "Ġextra v", + "Ġextr av", + "Ġ yen", + "Ġy en", + "Ġye n", + "Ġcul inary", + "P RI", + "PR I", + "ĠComm unities", + "ĠCommun ities", + "n id", + "ni d", + "_ operations", + "_oper ations", + "_operation s", + ". hs", + ".h s", + "ĠM ilton", + "ĠMil ton", + "Ġno ises", + "Ġnoise s", + "Ġnoi ses", + "Autoresizing Mask", + "( cid", + "(c id", + "(ci d", + "} ĊĊĊĊĊĊ", + "}Ċ ĊĊĊĊĊ", + "}ĊĊ ĊĊĊĊ", + "}ĊĊĊ ĊĊĊ", + "}ĊĊĊĊ ĊĊ", + "}ĊĊĊĊĊ Ċ", + "] },Ċ", + "]} ,Ċ", + "]}, Ċ", + "Ġ Detection", + "ĠD etection", + "ĠDe tection", + "ĠDet ection", + "ĠDetect ion", + "ta bla", + "tab la", + "tabl a", + "Ġlib erties", + "Ġlibert ies", + "Ġliber ties", + "_D YNAMIC", + "w get", + "wg et", + "ĠT ür", + "ĠP ascal", + "ĠPa scal", + "ĠPas cal", + "Trans parent", + "Del ayed", + "Delay ed", + "] ()", + "]( )", + "ĠHer bert", + "ĠHerb ert", + "< ActionResult", + "", + "}- >", + "Ġpas ado", + "Ġpasa do", + "th ank", + "tha nk", + "than k", + "_ Delete", + "_De lete", + "ĠBr ighton", + "ĠBright on", + "ĠBrig hton", + ", unsigned", + "ä½ľ èĢħ", + "Ġaspir ations", + "Ġaspiration s", + "- how", + "-h ow", + "R ose", + "Ro se", + "Ros e", + "= ((", + "=( (", + "_ needed", + "_ne eded", + "_need ed", + "_ plural", + "_pl ural", + "< Application", + " >ĊĊ", + ">> ĊĊ", + ">>Ċ Ċ", + "Ġsurface d", + "Ġsurf aced", + "Ġìł Ģìŀ¥", + "ĠìłĢ ìŀ¥", + "pl atz", + "plat z", + "pla tz", + "ĉ email", + "ĉe mail", + "ĉem ail", + "cept ors", + "ceptor s", + "cep tors", + "\" >(", + "\"> (", + "Ġe pile", + "Ġep ile", + "è¯ »", + "ĠDe bt", + "ĠDeb t", + "åij Ĭ", + "N OP", + "NO P", + "\" https", + "\"http s", + ": j", + "Form Item", + "_ LICENSE", + "_L ICENSE", + ".get Double", + ".getD ouble", + "ĠAg enda", + "ĠAge nda", + "ĉ finally", + "ĉf inally", + "ĉfinal ly", + "( filters", + "(f ilters", + "(filter s", + "(fil ters", + "( av", + "(a v", + "ç¾ İ", + "A PER", + "AP ER", + "APE R", + "Ġ lava", + "Ġl ava", + "Ġla va", + "Ġlav a", + "еÑĢ ж", + ") )))ĊĊ", + ")) ))ĊĊ", + "))) )ĊĊ", + "))))Ċ Ċ", + ")))) ĊĊ", + "Ġfa ulty", + "Ġfault y", + "_ nm", + "_n m", + "Ġt rava", + "Ġtr ava", + "Ġtra va", + "Ġtrav a", + "( Bitmap", + "(B itmap", + "(Bit map", + "Ġspe eding", + "Ġspeed ing", + "> ').", + ">' ).", + ">') .", + "Ġscreen ed", + "Ġscre ened", + "_ roll", + "_r oll", + "_ro ll", + "ĠMac Book", + "Ġ AUD", + "ĠA UD", + "ĠAU D", + "Ġdiagn ose", + ". Generate", + ".G enerate", + ".Gen erate", + "Ġ ^^", + "Ġ^ ^", + "Ġs trs", + "Ġst rs", + "Ġstr s", + "[ Test", + "[T est", + "Ġr ansom", + "Ġran som", + "ĠDH CP", + "el den", + "eld en", + "Ġinterpret ations", + "Ġinterpretation s", + "( )].", + "() ].", + "()] .", + "flat Map", + "Ġline Height", + "_ mount", + "_m ount", + "_mo unt", + "ĠW izards", + "ĠWizard s", + "Ġsl uts", + "Ġslut s", + "Ġslu ts", + "eh ler", + "o dal", + "od al", + "oda l", + "Ġmilit ia", + "Ġmil itia", + "å ²", + "ear ned", + "earn ed", + "Ġmis ery", + "Ġmise ry", + "Ġmiser y", + "int val", + "f und", + "fun d", + "fu nd", + "Ġh ides", + "Ġhide s", + "Ġhi des", + "Ġhid es", + "Ġdi arr", + "Ġdia rr", + "ĠWes ley", + "Ġ xmm", + "Ġx mm", + "Ġxm m", + "Ġqu em", + "Ġque m", + "Ġq uem", + "ĠAr abs", + "ĠArab s", + "ĠAra bs", + "if th", + "ift h", + "ategor ized", + "ategori zed", + "D isposable", + "Dis posable", + "P ure", + "Pu re", + "_NOT IFY", + "sn ippet", + "ĠGar rett", + "ĠGarr ett", + ". running", + ".r unning", + ".run ning", + ". weights", + ".weight s", + ".we ights", + "Ġ (--", + "Ġ( --", + "Ġ(- -", + "Ġin variant", + "Ġinv ariant", + "äºĭ 件", + "Ġ Allowed", + "ĠAll owed", + "ĠAllow ed", + "d irs", + "dir s", + "di rs", + "Ġpass ions", + "Ġpassion s", + "Ġ lad", + "Ġl ad", + "Ġla d", + "Ġ Flush", + "ĠF lush", + "ĠFl ush", + "ĠFlu sh", + "m enus", + "men us", + "menu s", + ": block", + ":b lock", + "Ġcom pra", + "Ġcomp ra", + "Ġcompr a", + ".ch omp", + "al locator", + "all ocator", + "alloc ator", + "alloca tor", + "Ġcur ated", + "Ġcu rated", + "Ġ Knowing", + "ĠKn owing", + "ĠKnow ing", + "ĠPatt erson", + "Ġt elah", + "Ġte lah", + "Ġtel ah", + "Ġtela h", + "' ex", + "'e x", + "Ġdo omed", + "Ġdoom ed", + "Ġphil anth", + "o tty", + "ot ty", + "ott y", + ". styles", + ".st yles", + ".style s", + "Own ed", + "Ġallerg ies", + "Ġaller gies", + "= params", + "oc ese", + "oce se", + "it elist", + "ite list", + "itel ist", + "iteli st", + "Ġ Sending", + "ĠS ending", + "ĠSen ding", + "ĠSend ing", + "b ef", + "be f", + "or rar", + "orr ar", + "orra r", + "Ġ Não", + "ĠN ão", + "ĠF argo", + "ĠFar go", + "ĠL ub", + "ĠLu b", + "Ġ Combined", + "ĠComb ined", + "ĠCombine d", + "_ given", + "_g iven", + "ĉ ĉĉĉĉĠĠĠĠ", + "ĉĉ ĉĉĉĠĠĠĠ", + "ĉĉĉĉ ĉĠĠĠĠ", + "ĉĉĉ ĉĉĠĠĠĠ", + "ĉĉĉĉĉ ĠĠĠĠ", + "ĉĉĉĉĉĠ ĠĠĠ", + "ĉĉĉĉĉĠĠĠ Ġ", + "ĉĉĉĉĉĠĠ ĠĠ", + "Ġre conciliation", + "Ġreconc iliation", + "Pattern s", + "az ard", + "aza rd", + "azar d", + "Ġbio mass", + "Ġbiom ass", + "ĠH ouses", + "ĠHouse s", + "ĠHo uses", + "ĠHou ses", + "resp uesta", + "c co", + "cc o", + "/ topics", + "/to pics", + "/top ics", + "/topic s", + "ĠY uk", + "ĠYu k", + "Ġweak ened", + "Ġweaken ed", + "_ calendar", + "_c alendar", + "_cal endar", + "Ġmulher es", + "ĠM arl", + "ĠMar l", + "ĠMa rl", + "Ġs ine", + "Ġsi ne", + "Ġsin e", + "ĠT il", + "ĠTi l", + "ĠSo uls", + "ĠSou ls", + "ĠSoul s", + "ĠDe utsche", + "ĠDeutsch e", + "ĠF OLLOW", + "Ġp ipelines", + "Ġpipe lines", + "Ġpipeline s", + "Ġpip elines", + "ĠBever ly", + "_DIP SETTING", + "\" #", + "Ġ Proto", + "ĠPro to", + "ĠPr oto", + "ĠProt o", + ". big", + ".b ig", + ".bi g", + "ĠS avings", + "ĠSav ings", + "ĠSaving s", + "ĠT anz", + "ĠTa nz", + "ĠTan z", + "j un", + "ju n", + "Ġ Gamma", + "ĠG amma", + "ĠGa mma", + "ĠGam ma", + "ĠS add", + "ĠSa dd", + "ĠSad d", + "Ġadv isors", + "Ġadvis ors", + "Ġadvisor s", + "Ġro ast", + "Ġun ters", + "Ġunt ers", + "Ġunter s", + "ud ies", + "udi es", + "_ lon", + "_l on", + "_lo n", + "- pointer", + "-point er", + "-po inter", + "ĠElement Ref", + "\\ Builder", + "example Input", + ". webdriver", + ".web driver", + "data Type", + "Ġ Quite", + "ĠQ uite", + "ĠQu ite", + "ĠQui te", + "ĠQuit e", + "ĠCelt ics", + "ĠCel tics", + "ĠCeltic s", + "u il", + "ui l", + "- defense", + "-def ense", + "b ish", + "bi sh", + "bis h", + "ĠUI Window", + "Ġ Suddenly", + "ĠS uddenly", + ". hot", + ".h ot", + ". reason", + ".re ason", + "Ġg ör", + "Ġgö r", + "A MD", + "AM D", + ". Multi", + ".M ulti", + ".Mult i", + "auth enticated", + "authenticate d", + "reg ions", + "region s", + "; (", + "а ÑĢам", + "аÑĢ ам", + "аÑĢа м", + "ĠKir by", + "$ route", + "$r oute", + "PREC ATED", + "ĠDur ham", + "o wo", + "ow o", + "ĠPer forms", + "ĠPerform s", + "Ġdisreg ard", + "n st", + "ns t", + "ĠP ols", + "ĠPol s", + "ĠPo ls", + "Ġget P", + "\" ]:", + "\"] :", + "-color ed", + "-col ored", + "( Keys", + "(Key s", + "ĠAl leg", + "ĠAll eg", + "ĠAlle g", + "_ modify", + "_mod ify", + "_ loading", + "_lo ading", + "_load ing", + "s trained", + "str ained", + "stra ined", + "strain ed", + "Ġat roc", + "Ġatr oc", + "_p hr", + "_ph r", + "< Sprite", + "", + "c eph", + "ce ph", + "cep h", + ".DateTime Picker", + ". \";ĊĊ", + ".\" ;ĊĊ", + ".\";Ċ Ċ", + ".\"; ĊĊ", + "ĠT ie", + "ĠTi e", + ", item", + ",i tem", + ",it em", + "Ġm enn", + "Ġme nn", + "Ġmen n", + "G as", + "Ga s", + "o cha", + "oc ha", + "och a", + "_ virtual", + "_v irtual", + "Ġmaster piece", + "_ sequences", + "_se quences", + "_sequence s", + "L TE", + "LT E", + "Ġ Submission", + "ĠSub mission", + "C aller", + "Call er", + "Cal ler", + "Ca ller", + "$ \\", + "S port", + "Sp ort", + "Spo rt", + "ag us", + "agu s", + "Constraint Maker", + "Ġco loc", + "Ġcol oc", + "Ġ wig", + "Ġw ig", + "Ġwi g", + "Ġ У", + "ĠÐ £", + "ĉ Array", + "ĉA rray", + "L ooks", + "Lo oks", + "Look s", + "ĠG TA", + "ĠGT A", + ". steps", + ".st eps", + ".step s", + "atch ewan", + "_ ranges", + "_r anges", + "_range s", + "ext Alignment", + "ĠBren nan", + "Ġab straction", + "Ġabs traction", + "Ġabstract ion", + "Ġabst raction", + "uler Angles", + ". misc", + ".m isc", + ".mi sc", + "Ġantib odies", + "Ġex ponential", + "Ġexponent ial", + "Ġ CHANNEL", + "ĠCH ANNEL", + "exp ense", + "' y", + "Ġdetect ives", + "Ġdetective s", + "Ġpur ported", + "Y STEM", + "YS TEM", + "YST EM", + "Ġradio active", + "ĠLat ina", + "ĠLatin a", + ". Encoding", + ".En coding", + ".Enc oding", + ". TAG", + ".T AG", + "x in", + "xi n", + "D egree", + "De gree", + "Deg ree", + "ur acion", + "ura cion", + "p rices", + "pr ices", + "price s", + "pri ces", + "ĠRefer entialAction", + "Ġr arity", + "Ġrar ity", + "Ġp iles", + "Ġpi les", + "Ġpil es", + "Ġpile s", + "g ende", + "ge nde", + "gen de", + "gend e", + "_ projects", + "_project s", + "_proj ects", + "_ globals", + "_g lobals", + "_global s", + "_glob als", + ". startTime", + ".start Time", + "Ġ 구", + "Ġê µ¬", + "Ġêµ ¬", + "SE CTION", + "SEC TION", + "_ publish", + "_p ublish", + "_pub lish", + "F ault", + "Fa ult", + "D DL", + "DD L", + "_ prior", + "_p rior", + "_pr ior", + "_pri or", + "M om", + "Mo m", + "Ġth icker", + "Ġthick er", + "Ġthi cker", + "Ġ sequelize", + "Ġsequ elize", + "Ġsequel ize", + "Ġess entials", + "Ġessential s", + "s tras", + "st ras", + "str as", + "stra s", + "in tr", + "int r", + "> (()", + ">( ()", + ">(( )", + ". management", + ".man agement", + ".manage ment", + "e il", + "ei l", + "éĹ Ń", + "A ware", + "Aw are", + ". City", + ".C ity", + "ĠAr bit", + "ĠArb it", + "_ DM", + "_D M", + "_ keyboard", + "_key board", + "L Object", + "LO bject", + "- webpack", + "-web pack", + "ĠNew port", + "Ġprincipal Column", + "leg ant", + "Ġp allet", + "Ġpal let", + "Ġpall et", + "Ġfract ure", + "Ġfrac ture", + "Ġ gmail", + "Ġg mail", + "Ġgm ail", + ". Meta", + ".M eta", + ".Me ta", + "A bove", + "Ab ove", + ". KeyEvent", + ".Key Event", + "j it", + "ji t", + "_ macro", + "_m acro", + "_mac ro", + "_ma cro", + "_P USH", + "_PUS H", + "á» ©", + "/ controller", + "/control ler", + "åĬł è½½", + "Ġsuperf icial", + "exter ity", + "Ġ mensagem", + "Ġm ensagem", + "Ġmens agem", + "W ind", + "Win d", + "Wi nd", + "i ston", + "is ton", + "ist on", + "isto n", + ".open api", + "и ÑĢов", + "иÑĢ ов", + "Ġ Serializer", + "ĠS erializer", + "ĠSerial izer", + "ĠSerialize r", + "uct ive", + "Ġ zar", + "Ġz ar", + "Ġza r", + "P laces", + "Pl aces", + "Place s", + ". Static", + ".St atic", + ".Stat ic", + "B a", + "Ġin advert", + "ĠIndones ian", + "ĠIndonesia n", + "_I PV", + "_IP V", + "( horizontal", + "(h orizontal", + "Ġ getTitle", + "Ġget Title", + "ide press", + "ĠConsole Color", + "i pers", + "ip ers", + "ipe rs", + "iper s", + "$ out", + "$o ut", + "Ġfest ive", + "Ġeven ings", + "Ġevening s", + "Ġeve nings", + ". GetData", + ".Get Data", + "uit ka", + "ĠManual s", + "us sed", + "uss ed", + "_ Max", + "_M ax", + ". Chat", + ".C hat", + ".Ch at", + "ĠA ircraft", + "ĠAir craft", + "= com", + "=c om", + "F OUND", + "FO UND", + "a pro", + "ap ro", + "apr o", + "Ġtre asures", + "Ġtreasure s", + "_ alive", + "_a live", + "_al ive", + "Ġg adget", + "Ġgad get", + "e king", + "ek ing", + "eki ng", + "Button Down", + "B rowsable", + ".PER MISSION", + "P ASSWORD", + "PASS WORD", + "Ġ HASH", + "ĠH ASH", + "ĠHAS H", + "ĠHA SH", + "f é", + "\\ TestCase", + "\\Test Case", + "LO SS", + "LOS S", + "o thers", + "other s", + "oth ers", + ", J", + "Ġass hole", + "Ġassh ole", + "w erk", + "we rk", + "wer k", + "Ġm ã", + ". ie", + ".i e", + "e vil", + "ev il", + "evi l", + "kont akte", + "/ ///////////////////////////////////////////////////////////////////////////////Ċ", + "/// /////////////////////////////////////////////////////////////////////////////Ċ", + "//////////////////////////////////////////////////////////////////////////// ////Ċ", + "//////////////////////////////////////////////////////////////////////////////// Ċ", + "= sys", + "=s ys", + "ĉ lock", + "ĉl ock", + "ĉloc k", + "-- ;ĊĊ", + "--;Ċ Ċ", + "--; ĊĊ", + "_ FUN", + "_F UN", + "Fill Color", + "ó a", + "p rend", + "pr end", + "pre nd", + "Ġcom pressor", + "Ġcompr essor", + "Ġcompress or", + "M other", + "Mo ther", + "Mot her", + "ĠAr cher", + "ĠArch er", + "ĠArc her", + ". goto", + ".g oto", + ".go to", + "Ġwür de", + "Ġbam boo", + "Ġbamb oo", + "ï¼ İ", + "Ġ Trees", + "ĠT rees", + "ĠTr ees", + "ĠTree s", + "ĠTre es", + "Ġb umper", + "Ġbump er", + "Ġbum per", + "Ġsa usage", + "Ġsau sage", + "ĠEl asticsearch", + "ĠElastic search", + "Ġhor izontally", + "Ġhorizontal ly", + "ĠG ul", + "ĠGu l", + "Im mutable", + "Imm utable", + "Ġ loser", + "Ġl oser", + "Ġlo ser", + "Ġlos er", + "Ġlose r", + "Ġab orted", + "Ġabort ed", + "- demo", + "-d emo", + "-de mo", + "-dem o", + "ĠH atch", + "ĠHat ch", + "Ġ unde", + "Ġu nde", + "Ġun de", + "Ġund e", + "Ġpro cesso", + "Ġprocess o", + "Ġproc esso", + "Ġproces so", + "- call", + "-c all", + "-cal l", + "-ca ll", + "In come", + "Inc ome", + "å ĥ", + "_ returns", + "_return s", + "'] .\"'", + "']. \"'", + "'].\" '", + "( sw", + "(s w", + "C BS", + "CB S", + "am ilies", + "ami lies", + "amil ies", + "ĠYour self", + "ĠYours elf", + "ĠH olt", + "ĠHol t", + "ĠHo lt", + ". MON", + ".M ON", + "ৠĩ", + "ÑĪ е", + "a non", + "an on", + "ano n", + "Ġ FontAwesome", + "ĠFont Awesome", + "pro ducer", + "produ cer", + "prod ucer", + "produce r", + "j r", + "Ġm au", + "Ġma u", + "ĉ inter", + "ĉint er", + "ĉin ter", + "Ġdish onest", + "Ġm agna", + "Ġmag na", + "Ġmagn a", + "ĠColl ective", + "ĠCollect ive", + "Ġvra iment", + "Ġvrai ment", + "Ġcho ix", + "st ay", + "sta y", + "Ġwel ding", + "Ġweld ing", + "r ising", + "ri sing", + "ris ing", + ", min", + ",m in", + "ĠF ate", + "ĠFa te", + "ĠFat e", + "g lob", + "gl ob", + "RGB A", + "RG BA", + "Ġd ette", + "Ġde tte", + "Ġdet te", + "V en", + "Ve n", + "Ġembarrass ment", + ". DELETE", + ".DE LETE", + "g regar", + "greg ar", + "gre gar", + "- render", + "-r ender", + "-re nder", + "-ren der", + "( bucket", + "(b ucket", + "\" >ĊĊĊ", + "\"> ĊĊĊ", + "\">Ċ ĊĊ", + "\">ĊĊ Ċ", + ".wait Key", + "Bus y", + "Bu sy", + "Ġdifferent iation", + "ĠC ST", + "ĠCS T", + ". Constant", + ".Con stant", + ".Cons tant", + "Ġline Number", + "( matches", + "(m atches", + "(match es", + "(mat ches", + "Ġ websocket", + "Ġweb socket", + "Ġwebs ocket", + "Ġbar red", + "Ġbarr ed", + "Ġpued es", + "Ġpu edes", + "Ġpuede s", + "M ono", + "Mon o", + "Mo no", + "C ORE", + "CO RE", + "COR E", + "I ID", + "II D", + "ĠĠ ĠĠčĊčĊ", + "ĠĠĠĠ čĊčĊ", + "ĠĠĠ ĠčĊčĊ", + "ĠĠĠĠčĊ čĊ", + "Ġpúb lico", + "le aning", + "lean ing", + "lea ning", + "Ġclean sing", + "Ġcleans ing", + "Ġc ris", + "Ġcr is", + "Ġcri s", + "ĠDev ils", + "ĠDevil s", + "_ SETTING", + "_SET TING", + "unt ary", + "unta ry", + ". );Ċ", + ".) ;Ċ", + "Ċ ĠĠĠĊ", + "[ curr", + "[c urr", + "[cur r", + "t sy", + "ts y", + "ĠAlex is", + "ĠAle xis", + "r itel", + "ri tel", + "rit el", + "rite l", + "Ġpet roleum", + "Ġpetrol eum", + ".pre processing", + "m atter", + "mat ter", + "For Result", + "- license", + "-l icense", + "Ġtravel lers", + "Ġtrav ellers", + "Ġtraveller s", + "Ġ Dispatcher", + "ĠDispatch er", + "ĠDisp atcher", + "enn ifer", + "Ġdigest ive", + "P ED", + "PE D", + "hib ition", + "hibit ion", + "MAS ConstraintMaker", + "ĠW att", + "ĠWat t", + "ĠWa tt", + "B enef", + "Ben ef", + ".set View", + "d to", + "dt o", + "T EE", + "TE E", + "ĠPel osi", + "_EX TRA", + "_EXT RA", + "Ġmed als", + "Ġmedal s", + "x hr", + "fore cast", + "for ecast", + "Ġn argin", + "Ġnar gin", + "o uns", + "ou ns", + "oun s", + "- fill", + "-f ill", + "-fi ll", + "_CUR SOR", + "Ġsup ervised", + "Ġsuper vised", + "Ġsuperv ised", + "Ġsupervise d", + "Ġt urf", + "Ġtu rf", + "Ġtur f", + "ĠEd gar", + "POS ITION", + "POSIT ION", + "Ġ categoryId", + "Ġcategory Id", + "â ī", + "_ ER", + "_E R", + "ủ a", + "Sh own", + "Show n", + ". ll", + ".l l", + "_POL ICY", + "( ),'", + "() ,'", + "(), '", + "Ġ Prev", + "ĠP rev", + "ĠPr ev", + "ĠPre v", + "ĠString Field", + "ĉ Global", + "ĉG lobal", + "as sed", + "ass ed", + "asse d", + "Through out", + "o stringstream", + ".awt extra", + "Ġsl opes", + "Ġslo pes", + "Ġslope s", + "Ġ Sequential", + "ĠSe quential", + "ĠSequ ential", + "Ġgi orn", + "Ġgio rn", + "Ġ zelf", + "Ġz elf", + "Ġze lf", + "Ġzel f", + "Ġvers atility", + "Ġversa tility", + "le neck", + "len eck", + "lene ck", + ". cgi", + ".c gi", + ".cg i", + "Ġdoub ling", + "Ġdou bling", + "ĠBang kok", + "Ġbu urt", + "Ġusu ário", + "st udio", + "stu dio", + "stud io", + "Ġje unes", + "Ġjeune s", + "Ġjeu nes", + "Ġm uted", + "Ġmut ed", + "Ġmu ted", + "Ġmute d", + "Ġ ips", + "Ġi ps", + "Ġip s", + "_ fraction", + "_f raction", + "_fr action", + "_frac tion", + "& &(", + "&& (", + "Ġst unt", + "Ġstu nt", + "Ġstun t", + "') ;?> čĊ", + "}> čĊ", + "Ġev apor", + "b able", + "ba ble", + "bab le", + "Ġ PRICE", + "ĠPR ICE", + "ĠPRI CE", + "Ġ æ³", + "Ġæ ³", + "lu cent", + "Ġv amp", + "Ġva mp", + "ĠTechn ician", + "Ġunique ness", + "Ġuniqu eness", + "M es", + "Me s", + "ur ban", + "urb an", + ".param etrize", + "ĠRe play", + "ĠRep lay", + "S essions", + "Session s", + "em br", + "emb r", + "- Americans", + "-American s", + "-Americ ans", + "_PRO XY", + "Ġp ian", + "Ġpi an", + "Ġ trie", + "Ġt rie", + "Ġtr ie", + "Ġtri e", + "Ġ Destructor", + "ĠD estructor", + "ĠDe structor", + "Game State", + "ĠI MF", + "ĠIM F", + "c hin", + "ch in", + "chi n", + "Ġ porte", + "Ġp orte", + "Ġport e", + "Ġpor te", + "ĠS wal", + "ĠSw al", + "åŁ İ", + "Sub string", + "i ming", + "im ing", + "imi ng", + "imin g", + "/ Library", + "/L ibrary", + "Ġfright ened", + "w rites", + "write s", + "wr ites", + "Ġrec ursos", + "Ġrecurs os", + "ar Result", + "_INIT IALIZ", + "_INITIAL IZ", + "Ġ Badge", + "ĠB adge", + "ĠBad ge", + "ĠBa dge", + "_ crc", + "_c rc", + "_cr c", + "E ight", + "ĠDIST INCT", + "Ġ thro", + "Ġth ro", + "Ġthr o", + "@ Xml", + "Ġ Legendary", + "ĠLegend ary", + "- twitter", + "-t witter", + "-tw itter", + "_ easy", + "_e asy", + "Ġ +++", + "Ġ+ ++", + "Ġ++ +", + "( DATA", + "(D ATA", + ". Locale", + ".L ocale", + ".Local e", + ".Lo cale", + "Ġk ä", + "Ġn urt", + "Ġnu rt", + "Ġnur t", + "Ġcr uis", + "Ġcru is", + "_ ios", + "_i os", + "_io s", + "Ġs ensing", + "Ġsens ing", + "Ġsen sing", + "_ Line", + "_L ine", + "Ċ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "p ong", + "pon g", + "po ng", + "o leon", + "ol eon", + "ole on", + "Ġwild card", + "çĶ¨æĪ· åIJį", + "Ġbeg ging", + "R od", + "Ro d", + "Ġ Ãİ", + "Ġà İ", + "_ CELL", + "_C ELL", + "_CE LL", + "Research ers", + ". selector", + ".se lector", + ".select or", + ".sel ector", + "_ ing", + "_in g", + "_i ng", + "Ġas piring", + "Ġaspir ing", + "Ġasp iring", + "Ġimm ortal", + "Ġy min", + "_ robot", + "_r obot", + "_ro bot", + "Ġpl ur", + "Ġplu r", + "B TC", + "BT C", + "ĠD ID", + "ĠDI D", + "Ġpier cing", + "* u", + "_ DEFINED", + "_DEF INED", + "_DEFIN ED", + "_DEFINE D", + "ĠT hi", + "ĠTh i", + "i taire", + "it aire", + "ita ire", + "( media", + "(m edia", + "(me dia", + "- ons", + "-on s", + "-o ns", + "Ġch efs", + "Ġche fs", + "Ġchef s", + "Ġ\" *.", + "Ġ\"* .", + "/ AP", + "/A P", + "Ġr azor", + "Ġraz or", + "Ġsearch Data", + "Ġ =&", + "Ġ= &", + "Ġ ãĢĤ", + "ĠãĢ Ĥ", + "Ġm ourn", + "Ġmo urn", + "Ġmou rn", + "Ġmour n", + "t ingham", + "ting ham", + "Ġ oli", + "Ġo li", + "Ġol i", + "ĠVer non", + "ĠVern on", + "_ RS", + "_R S", + "ŀ æĢ§", + "Ġf ácil", + "a ngen", + "an gen", + "ang en", + "ange n", + "ce lain", + "cel ain", + "cela in", + "Ġ ail", + "Ġa il", + "Ġai l", + "l est", + "le st", + "les t", + "ĠQ COMPARE", + "g ain", + "ga in", + "Ġ ε", + "ĠÎ µ", + "ĠK ob", + "ĠKo b", + "Ġ Fault", + "ĠF ault", + "ĠFa ult", + "ĠFaul t", + "_ configs", + "_config s", + "_conf igs", + "ç»ĵ æŀľ", + ". +", + "c alar", + "ca lar", + "cal ar", + "cala r", + "( colors", + "(color s", + "(col ors", + "M ul", + "Mu l", + "_ ART", + "_A RT", + "_AR T", + "Ġexperiment ing", + "er men", + "erm en", + "ĠAng lo", + ".Fixed Single", + "S ea", + "Se a", + "Ġ ctxt", + "Ġc txt", + "Ġctx t", + "Ġct xt", + ". slider", + ".s lider", + ".sl ider", + ".slide r", + "C ollapse", + "Coll apse", + "G rey", + "Gr ey", + "Gre y", + "Ġ fld", + "Ġf ld", + "Ġfl d", + "- proof", + "-p roof", + "-pro of", + ". capacity", + ".cap acity", + "get Parent", + "ĠCom pliance", + "Ġbur gl", + "Ġburg l", + "- rec", + "-r ec", + "-re c", + "Ġover written", + "M U", + "Ġr outers", + "Ġro uters", + "Ġroute rs", + "Ġrout ers", + "Ġrouter s", + "Ġrou ters", + "ĉ Model", + "ĉM odel", + "Ġfantas ies", + "av ian", + "avi an", + "avia n", + "_ prec", + "_p rec", + "_pr ec", + "_pre c", + "ĠSc andin", + "ĠScan din", + "Ġ// <", + "Ġ/ /<", + "/ oct", + "/o ct", + "Ġceremon ies", + "Mon ths", + "Month s", + "Mont hs", + "un dy", + "und y", + "Ġqu ed", + "Ġque d", + "Ġq ued", + "ĠN ou", + "ĠNo u", + "ĠV ibr", + "ĠVi br", + "ĠVib r", + ". rgb", + ".r gb", + "Ġcit rus", + "Ġbr aces", + "Ġbra ces", + "Ġbrace s", + "- uppercase", + "-upper case", + "get Table", + "Ġd opo", + "Ġdo po", + "Ġdop o", + "ĠK err", + "ĠKe rr", + "ĠKer r", + "_ CHILD", + "_CH ILD", + "- cloud", + "-c loud", + "-cl oud", + "ĉ Matrix", + "ĉM atrix", + "ĉMat rix", + "Ġgarden ing", + "Ġgard ening", + "S ing", + "Si ng", + "Sin g", + "al most", + "alm ost", + "Require ments", + "Requirement s", + "ugu ay", + "( Property", + "(P roperty", + "sub scriber", + "subscribe r", + "F AST", + "FA ST", + "re action", + "react ion", + "rea ction", + "( lp", + "(l p", + ") })Ċ", + ")} )Ċ", + ")}) Ċ", + "` ).", + "`) .", + ". wallet", + ".w allet", + ".wall et", + "_ exchange", + "_ex change", + ". Maximum", + ".Max imum", + "Ġ Verb", + "ĠV erb", + "ĠVer b", + "ĠVe rb", + "âĶ ģ", + "( )<", + "() <", + "ï¼Ľ Ċ", + "R OT", + "RO T", + "C ARD", + "CA RD", + "CAR D", + "u bit", + "ub it", + "ubi t", + "{ @", + "_ kel", + "_k el", + "_ke l", + "Ġ Tooltip", + "ĠTo oltip", + "ĠTool tip", + "My SQL", + "Main Activity", + "a rf", + "ar f", + "Ġm align", + "Ġmal ign", + "Ġse inen", + "Ġsein en", + "Ġseine n", + "Ġsei nen", + "ap ist", + "api st", + "apis t", + "Ġ< %", + "Method Impl", + "M il", + "Mi l", + "ĠM ick", + "ĠMi ck", + "ĠMic k", + ". depend", + ".d epend", + ".de pend", + ".dep end", + "< ID", + " >&", + ">> &", + "ĉ ok", + "ĉo k", + "- low", + "-l ow", + "-lo w", + ". usuario", + ".us uario", + "n ested", + "ne sted", + "nes ted", + "nest ed", + "X B", + "OUR S", + "OU RS", + ". BorderColor", + ".Border Color", + "Ġb row", + "Ġbr ow", + "Ġbro w", + "Ġ Ðķ", + "ĠÐ ķ", + "c orr", + "co rr", + "cor r", + "ĠRed skins", + "ĠReds kins", + ".get Tag", + ".get Transaction", + "Ġst igma", + "har dt", + "hard t", + "ĠPlayer Prefs", + "al sy", + "als y", + "uc son", + "ucs on", + "L anguages", + "Language s", + "ĠOl ivia", + "ĠOliv ia", + "Ġt ac", + "Ġta c", + "Ġb li", + "Ġbl i", + "Ġc aval", + "Ġca val", + "Ġcav al", + "Ġconsolid ated", + "Ġconsolidate d", + "Ġper il", + "Ġpe ril", + "Ġperi l", + "Ġd ele", + "Ġde le", + "Ġdel e", + "Ġform ulated", + "Ġformula ted", + "Ġformul ated", + "Ġformulate d", + "Ġhigh ways", + "Ġhighway s", + ". spawn", + ".s pawn", + ".sp awn", + "= =$", + "== $", + "ĠN iet", + "ĠNi et", + "ĠNie t", + "Ġv eggies", + "Ġveg gies", + "y po", + "yp o", + "- rule", + "-r ule", + "ĠV ie", + "ĠVi e", + "/e pl", + "Ġenf ants", + "string Literal", + "Ġtough est", + "Ġtou ghest", + "bu yer", + "buy er", + "Ġcov ariance", + "Ġ ili", + "Ġi li", + "Ġil i", + "ĠSoph ie", + "Ġ BAB", + "ĠB AB", + "ĠBA B", + "Ġ \"),", + "Ġ\" ),", + "Ġ\") ,", + "ĠU k", + "current Index", + "_ userdata", + "_user data", + ". codec", + ".co dec", + ".code c", + ".cod ec", + "ĠPun jab", + "ĠS NP", + "ĠSN P", + "l ol", + "lo l", + "adv ance", + "Ġcom fy", + "Json Ignore", + "Ġfashion able", + "Ġ ICON", + "ĠI CON", + "ĠIC ON", + "ĠICO N", + "Ġ ora", + "Ġo ra", + "Ġor a", + "ĠP ricing", + "ĠPr icing", + "ĠPri cing", + "< num", + " E", + "t ering", + "ter ing", + "te ring", + "teri ng", + "/ screens", + "/s creens", + "/screen s", + "Ġheight ened", + "аÑĢ ÑĤ", + "Author ities", + "_ bbox", + "_b box", + "_bb ox", + "ü nst", + "ün st", + "üns t", + ". fontSize", + ".font Size", + "Ġ BOOLEAN", + "ĠBO OLEAN", + "div ide", + "di vide", + "divid e", + "ĠS loven", + "ĠSl oven", + "ĠSlo ven", + "ĠSlov en", + "u cer", + "uc er", + "uce r", + "Ù Ĵ", + "st ub", + "stu b", + "Ġnavig ating", + ": animated", + "_ NOW", + "_N OW", + "_NO W", + "_ vect", + "_v ect", + "_vec t", + "_ve ct", + "} {Ċ", + "}{ Ċ", + "@ (", + "Ġtele com", + "Ġtel ecom", + "Ġcontract ing", + "Ġcontr acting", + "ĠAss ange", + "Ġextract ing", + "Ġextr acting", + "Ġgr ö", + "c obra", + "co bra", + "cob ra", + ". DIS", + ".D IS", + "Ġc rab", + "Ġcr ab", + "Ġcra b", + "Ġt witch", + "Ġtw itch", + "Ġ verts", + "Ġv erts", + "Ġver ts", + "Ġvert s", + "Ġve rts", + "Ġreject s", + "Ġrej ects", + "ĉ format", + "ĉfor mat", + "ĉform at", + "Ġre generation", + "Ġreg eneration", + ". Sys", + ".S ys", + "s olve", + "sol ve", + "ĉ dialog", + "ĉd ialog", + "s hi", + "sh i", + "m eter", + "me ter", + "met er", + "( best", + "(b est", + "(be st", + "valid ators", + "validator s", + "Ġon wards", + "Ġonward s", + "Ġg uru", + "Ġgu ru", + "Ġmod erator", + "Ġmoder ator", + "ow ied", + "owie d", + "owi ed", + "ex periment", + "r ub", + "ru b", + "Ġ mqtt", + "Ġm qtt", + "Ġmq tt", + "ĠCa ucas", + "Ġnational ism", + "Ġm ange", + "Ġman ge", + "Ġma nge", + "Ġmang e", + "ĉ ImGui", + "/ Edit", + "/E dit", + "Ġ inh", + "Ġin h", + "Ġi nh", + "Ġint ellig", + "Ġintel lig", + "ero kee", + "ĉ export", + "ĉex port", + "ĉexp ort", + "Ġdiscrim inate", + "Ġdiscrimin ate", + "sub tract", + "ĠM oodle", + "ĠMoo dle", + "ĠMood le", + "en ser", + "ens er", + "ense r", + "ĠGu ides", + "ĠGuid es", + "ĠGuide s", + "ĠGui des", + "R AP", + "RA P", + "- hot", + "-h ot", + "_ grp", + "_g rp", + "_gr p", + ". picture", + ".p icture", + ".pic ture", + "X A", + "Ġinit View", + "_ Comm", + "_C omm", + "_Com m", + "Ġoverd ose", + "Ġ +ĊĊ", + "Ġ+ ĊĊ", + "Ġ+Ċ Ċ", + "ĠS ilent", + "ĠSil ent", + "sh ows", + "show s", + "Ġinter polate", + "Ġinterpol ate", + "Ġinterp olate", + "Form ation", + "Format ion", + "Ġb isc", + "Ġbi sc", + "Ġbis c", + "mark ets", + "market s", + "( SC", + "(S C", + "Z e", + "Ġ Networking", + "ĠNetwork ing", + "ĠNet working", + "Ġad renal", + "Ġadr enal", + "ĠG uns", + "ĠGu ns", + "ĠGun s", + "et eor", + "ete or", + "De clared", + "Decl ared", + "Declare d", + "orge town", + "orget own", + "Ġk arena", + "Ġka rena", + "Ġkar ena", + "/ password", + "/p assword", + "/pass word", + "_ addresses", + "_add resses", + "_address es", + "_addr esses", + "IT ERAL", + "ITE RAL", + "ITER AL", + "B uzz", + "Bu zz", + "ĠCon way", + "( case", + "(c ase", + "(ca se", + "P WD", + "PW D", + "he iro", + "hei ro", + "( act", + "(a ct", + "(ac t", + "* *čĊ", + "** čĊ", + "( ));ĊĊĊ", + "() );ĊĊĊ", + "());Ċ ĊĊ", + "()) ;ĊĊĊ", + "());ĊĊ Ċ", + "()); ĊĊĊ", + "Ġa nv", + "Ġan v", + "Ġ ..ĊĊ", + "Ġ. .ĊĊ", + "Ġ.. ĊĊ", + "Ġ..Ċ Ċ", + "( MenuItem", + "(Menu Item", + "( mail", + "(m ail", + "_ sections", + "_s ections", + "_se ctions", + "_section s", + "ĉ net", + "ĉn et", + "Ġp lut", + "Ġpl ut", + "Ġplu t", + "Ġw rench", + "Ġwr ench", + "/ object", + "/o bject", + "ĠI st", + "ĠIs t", + "Ġ VIS", + "ĠV IS", + "ĠVI S", + "/ pub", + "/p ub", + "al ten", + "alt en", + "alte n", + "Ġguitar s", + "Ġguit ars", + "Ġantib iotic", + "Ġantibiot ic", + "ï¼ ĸ", + " ¹", + "Ġ \"+\"", + "Ġ\" +\"", + "Ġ\"+ \"", + "form ula", + "Ġba bes", + "Ġbab es", + "Ġbabe s", + "Ġ Prompt", + "ĠP rompt", + "ĠProm pt", + "Ġe nim", + "Ġen im", + "/ player", + "/p layer", + "/pl ayer", + "/play er", + "ĉ ref", + "ĉr ef", + "ĉre f", + "Ġby Äĩ", + "Ġcons umes", + "Ġconsum es", + "Ġconsume s", + "ĠH ast", + "ĠHas t", + "ĠHa st", + "ĠT ao", + "ĠTa o", + "Ġ '))Ċ", + "Ġ' ))Ċ", + "Ġ') )Ċ", + "Ġc lam", + "Ġcl am", + "Ġcla m", + "Ġthigh s", + "Ġmot if", + "Ġmo tif", + "Api Operation", + "Ġ WL", + "ĠW L", + "get C", + "ĉ flags", + "ĉf lags", + "ĉflag s", + "oint ments", + "ointment s", + "Ġeconomic al", + "Ġeconom ical", + "need le", + "nee dle", + "x ls", + "xl s", + "pr actice", + "ut zer", + "utz er", + "time ofday", + "- output", + "-out put", + "Ġ findById", + "Ġfind ById", + "ĠfindBy Id", + "ĠB uddy", + "ĠBudd y", + "ĠBu ddy", + "ĠBud dy", + "Ðŀ ÑĤ", + "S even", + "Se ven", + "ĠB ark", + "ĠBar k", + "ĠBa rk", + "Ġen voy", + "Ġenv oy", + "_ algorithm", + "_al gorithm", + "åĪ ©", + "Ġball istic", + "ç§ »", + "r ades", + "ra des", + "rad es", + "rade s", + "ĉ doc", + "ĉd oc", + "ĉdo c", + "rodu cing", + "rod ucing", + "ĠE ating", + "ĠEat ing", + "ĠEa ting", + "Un mount", + "/data Tables", + "_ bonus", + "_b onus", + "Ġl itt", + "Ġli tt", + "Ġlit t", + "p ps", + "pp s", + ") localObject", + "pe rf", + "per f", + "Ġ Helvetica", + "ĠHel vetica", + "sh utdown", + "/ ml", + "/m l", + ". tokens", + ".t okens", + ".token s", + "ĠHard core", + ", row", + ",r ow", + "/ bg", + "/b g", + "S caler", + "Sc aler", + "Scale r", + "âĢĶ as", + "âĢĶa s", + "_log its", + "âĢĻ int", + "âĢĻin t", + "âĢĻi nt", + "ĉ App", + "ĉA pp", + "Impl icit", + "Imp licit", + ".F printf", + "E TO", + "ET O", + "Ġ terra", + "Ġt erra", + "Ġter ra", + "Ġterr a", + "Ġpossess ing", + ". rstrip", + ".r strip", + ".rs trip", + ", ),", + ",) ,", + "= yes", + "=y es", + "Ġ Stripe", + "ĠSt ripe", + "ĠStr ipe", + "ĠStrip e", + "? =", + "ne utral", + ". good", + ".g ood", + ".go od", + "Ġk ennen", + "Ġke nnen", + "Ġken nen", + "Ġkenn en", + "ĠS ung", + "ĠSun g", + "ĠSu ng", + "f ault", + "fa ult", + "ystate change", + "Can adian", + "',' \".$", + "ĠM its", + "ĠMi ts", + "ĠMit s", + "æ nd", + "Ġ STRUCT", + "ĠSTR UCT", + "ĠURL WithString", + "ĠCom pass", + "ĠComp ass", + "Ġ --ĊĊ", + "Ġ- -ĊĊ", + "Ġ-- ĊĊ", + "Ġ--Ċ Ċ", + "ĠNS LayoutConstraint", + "| min", + "|m in", + "- adjust", + "-ad just", + "Ġre built", + "Ġreb uilt", + "L IGHT", + "/ se", + "/s e", + "- mount", + "-m ount", + "v pn", + "vp n", + "valid ated", + "validate d", + "( QObject", + "(Q Object", + "Ġign ition", + "ĠChar gers", + "ĠCharg ers", + "ĠCharge rs", + "ĠCharger s", + "RYPT O", + "]initWith Frame", + "Ġ Fluid", + "ĠFl uid", + "ĠFlu id", + "Ġca dre", + "Ġcad re", + "Ġnom inations", + "Ġnomin ations", + "Ġnomination s", + "Ne ill", + "Neil l", + "ĠH ou", + "ĠHo u", + "Ġcurrent s", + "Ġcurr ents", + "_ gene", + "_g ene", + "_gen e", + "_ge ne", + "( inp", + "(i np", + "(in p", + "P aris", + "Par is", + "Pa ris", + "z ÄĻ", + "ag gregate", + "Ġ assoc", + "Ġas soc", + "Ġass oc", + "we eted", + "weet ed", + "er rat", + "err at", + "erra t", + "âĢĵ ĊĊ", + "Ġ' /',Ċ", + "Ġ'/ ',Ċ", + "Ġ'/' ,Ċ", + "Ġ'/', Ċ", + "f ixture", + "fix ture", + "Ġ Highest", + "ĠH ighest", + "ĠHigh est", + "ĠHi ghest", + "amb ient", + "ambi ent", + "Ġ chmod", + "Ġch mod", + "Ġ conte", + "Ġc onte", + "Ġcon te", + "Ġcont e", + "Ġco nte", + "Ġs ensual", + "Ġsens ual", + "Ġgar ment", + "z ers", + "ze rs", + "zer s", + "Ġ Powered", + "ĠP owered", + "ĠPower ed", + "ĠPow ered", + "dom ains", + "domain s", + "R eward", + "Re ward", + "Rew ard", + "i omanip", + "Ġcock pit", + "out file", + "Ġ builtin", + "Ġb uiltin", + "Ġbuilt in", + "Ġins isting", + "Ġinsist ing", + ". vars", + ".v ars", + ".var s", + ".va rs", + "zip code", + "Ġ ����", + "Ġ� ���", + "f ails", + "fa ils", + "fail s", + "Ġconsolid ation", + "_ oid", + "_o id", + "Plan et", + "Plane t", + "Ġ =\",", + "Ġ= \",", + "Ġ=\" ,", + "ĉ el", + "ĉe l", + "U ILT", + "UI LT", + "UIL T", + "ä tz", + "ät z", + "af ari", + "afa ri", + "ĠMc Cl", + "ĠMcC l", + "T imeline", + "Time line", + "Tim eline", + "E sta", + "Est a", + "Es ta", + "Ġ fram", + "Ġf ram", + "Ġfr am", + "Ġfra m", + "Y E", + "Ġcere bral", + "Of Month", + "ĠP regn", + "ĠPre gn", + "Ġкл аÑģÑģ", + "ĠклаÑģ Ñģ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠF res", + "ĠFr es", + "ĠFre s", + "Ap proved", + "Appro ved", + ". Special", + ".S pecial", + ".Spec ial", + ".Sp ecial", + "ĠProte stant", + "ĠProtest ant", + "Ġall ergy", + "Ġallerg y", + "Ġaller gy", + "_ pcm", + "_p cm", + "_pc m", + "ĉ Copyright", + "ĉC opyright", + "Ġsuper Class", + "\" strconv", + "ĠMoh amed", + "Ġ' //", + "Ġ'/ /", + "Fore Color", + "Ar thur", + "Art hur", + "ĠJ ungle", + "ĠJun gle", + "ĠJu ngle", + "ĠJung le", + "Ġve ins", + "Ġvein s", + "S ad", + "Sa d", + "Ġback ups", + "Ġbackup s", + "ĠOp inion", + "û t", + "Ġinter mitt", + "o dyn", + "od yn", + "ody n", + "ĠChrist ina", + "Ġ andre", + "Ġand re", + "Ġan dre", + "Ġevac uation", + "p alette", + "pa lette", + "pal ette", + "h orse", + "hor se", + "ĠRes ident", + "ĠHas san", + "ĠHass an", + ". Nil", + ".N il", + "Ġa isle", + "Ġais le", + "Ġ Growing", + "ĠG rowing", + "ĠGr owing", + "ĠGro wing", + "ĠGrow ing", + "Ġblog info", + "/ sql", + "/s ql", + "_ ioctl", + "_io ctl", + "S caling", + "Sc aling", + "Ġ Monad", + "ĠMon ad", + "ĠMo nad", + "ĠMona d", + "_ cpp", + "_c pp", + "_cp p", + "ĠH utch", + "ĠHut ch", + "ĠApple WebKit", + "Exp ense", + "_ JOB", + "_J OB", + "_JO B", + "Ġpoint less", + "From Body", + "an tal", + "ant al", + "anta l", + "Ġdepict ing", + "Ġ CELL", + "ĠC ELL", + "ĠCE LL", + "ĠCEL L", + "Ġre fin", + "Ġref in", + "ĠC NC", + "ĠCN C", + "ì¹ ĺ", + "_ dimensions", + "_dim ensions", + "_dimension s", + "Ġ SAN", + "ĠS AN", + "ĠSA N", + "Ġ aft", + "Ġa ft", + "Ġaf t", + "Ġfoot steps", + "c coli", + "cc oli", + "cco li", + "_ PHONE", + "_P HONE", + "_PH ONE", + "/ math", + "/m ath", + "/mat h", + "- kind", + "-k ind", + "Ġ Means", + "ĠMe ans", + "ĠMean s", + "ich ael", + "icha el", + ". guna", + ".g una", + "Ġinaug uration", + "Ġinaugur ation", + "-dr iving", + "( delete", + "(de lete", + "(del ete", + "Ġ totalCount", + "Ġtotal Count", + "_ MC", + "_M C", + ". Extension", + ".Ext ension", + "Com mercial", + "Comm ercial", + "Ġz Index", + "< Customer", + "$", + "\"> $", + "Ġe bay", + "Ġeb ay", + "Ġc aptive", + "Ġca ptive", + "Ġcapt ive", + "pl iant", + "ĠCalculate s", + "ĠCalcul ates", + "ĠCalc ulates", + "ol ta", + "olt a", + "es ting", + "est ing", + "esti ng", + "_ revision", + "_re vision", + "_rev ision", + "Ġm ús", + "Ġmú s", + "+ m", + "\",\" \",\"", + "\",\"\", \"", + "WH AT", + "Ġcompass ionate", + "Ġcompassion ate", + "h arga", + "har ga", + "[ random", + "[r andom", + "[rand om", + "Ġ modulo", + "Ġmod ulo", + "( sn", + "(s n", + "Ġoccup ations", + "Ġoccupation s", + "/ ///Ċ", + "// //Ċ", + "//// Ċ", + "/// /Ċ", + "ĉ board", + "ĉb oard", + "ĠB alk", + "ĠBa lk", + "ĠBal k", + "w iÄħ", + "wi Äħ", + "Ġ Wifi", + "ĠW ifi", + "ĠWi fi", + ". Profile", + ".Pro file", + ".Pr ofile", + ": maj", + ":m aj", + "ĉ mat", + "ĉm at", + "LOCK S", + "LOC KS", + "(j Button", + "Ġ ('$", + "Ġ( '$", + "Ġ(' $", + "M ur", + "Mu r", + "æĮ ī", + "b ble", + "bb le", + "Ġ frog", + "Ġf rog", + "Ġfr og", + "Ġfro g", + "- hide", + "-h ide", + "Ġbroad caster", + "Ġbroadcast er", + "ภŀ", + "h aled", + "ha led", + "hal ed", + "Ġam using", + "_ predictions", + "_pre dictions", + "_pred ictions", + "_predict ions", + "_prediction s", + "_ intr", + "_in tr", + "_int r", + "Ġe agle", + "Ġea gle", + "Ġeag le", + "аÑĤ елÑĮ", + "аÑĤе лÑĮ", + "Ġ getList", + "Ġget List", + "ps ilon", + "psi lon", + "Ġcharacter ization", + "AR DS", + "ARD S", + "Ġre location", + "Ġrel ocation", + "Ġreloc ation", + "Ġr ulers", + "Ġrule rs", + "Ġru lers", + "Ġruler s", + "P AY", + "PA Y", + "ĠDef initely", + "_ Action", + "_A ction", + "_Act ion", + "Ġc losures", + "Ġclos ures", + "Ġclosure s", + "Ġf actual", + "Ġfact ual", + "Ġfac tual", + "o dynamic", + "od ynamic", + "odyn amic", + "odynam ic", + "Ġpreca utions", + "Ġprecaution s", + "n iej", + "ni ej", + "nie j", + "ĠPart ies", + "ĠPar ties", + "ĠParti es", + "ĠSub aru", + "ĠSu baru", + "Ġcous ins", + "Ġcousin s", + "ar beit", + ". money", + ".m oney", + ".mo ney", + ".mon ey", + "g unta", + "gun ta", + "( and", + "(a nd", + "(an d", + "get item", + ".Style Priority", + "Ġs lid", + "Ġsl id", + "s ingleton", + "single ton", + "sing leton", + "Ġg arn", + "Ġgar n", + "Ġga rn", + "ĠP AS", + "ĠPA S", + "Ġd azz", + "Ġda zz", + "a ż", + "Ġbog us", + "ĠM og", + "ĠMo g", + "Ġrival ry", + "i sol", + "is ol", + "iso l", + "Ġland marks", + "Ġlandmark s", + "ñ as", + "ña s", + "B ern", + "Be rn", + "Ber n", + "ĠS achs", + "ĠSa chs", + "ĠSac hs", + "ĠSach s", + "Ġ \")ĊĊ", + "Ġ\" )ĊĊ", + "Ġ\") ĊĊ", + "Ġ\")Ċ Ċ", + "Ġhost ility", + "Ġhos tility", + "_m ex", + "_me x", + "m ere", + "mer e", + "me re", + "M ot", + "Mo t", + "p ictureBox", + "picture Box", + "Def ense", + "Ġaffid avit", + "other wise", + ". directory", + ".d irectory", + ".direct ory", + "_ UnityEngine", + "_Un ityEngine", + "- blog", + "-b log", + "-bl og", + ". skin", + ".s kin", + ".sk in", + "p hem", + "ph em", + "phe m", + "Ap ellido", + "er chant", + "[ class", + "[c lass", + "Ġ wart", + "Ġw art", + "Ġwar t", + "Ġwa rt", + ". \"[", + ".\" [", + "a leur", + "al eur", + "ale ur", + "/ back", + "/b ack", + "ĠĠĠĠ ĉĠĠĠ", + "ĠĠĠ ĠĉĠĠĠ", + "ĠĠĠĠĉ ĠĠĠ", + "ĠĠĠĠĉĠ ĠĠ", + "Ġprecip itation", + "Ġob struction", + "Ġobstruct ion", + "Ġp Obj", + "Ġ rupt", + "Ġr upt", + "Ġru pt", + "U CKET", + "UCK ET", + "a ye", + "ay e", + "æİ Ĵ", + "g x", + "Ġe cl", + "Ġec l", + "Ġsecre cy", + "/ Header", + "ĠLe sb", + "ĠLes b", + "Ġ lei", + "Ġl ei", + "Ġle i", + "Ġ Bulletin", + "ĠBull etin", + "ĠBullet in", + "Ġgive away", + ". Home", + ".H ome", + "_ ROOM", + "_R OOM", + "_RO OM", + "\" W", + "Ġco work", + "Ġcow ork", + "_ ra", + "_r a", + "ĠC ycling", + "ĠCy cling", + "ĠCycl ing", + "ĠCyc ling", + "ĠP aw", + "ĠPa w", + "Ġp upil", + "Ġpup il", + "/ arch", + "/a rch", + "/ar ch", + "ĠFile Utils", + "é¦ ĸ", + "r sp", + "rs p", + "Ġfreedom s", + "Ġfreed oms", + "ĠL ear", + "ĠLe ar", + "} `).", + "}` ).", + "Ġbow ls", + "Ġbowl s", + "/ block", + "/b lock", + "/bl ock", + "_ logging", + "_log ging", + "Ġme thane", + "Ġmeth ane", + "Ġh orns", + "Ġhor ns", + "Ġhorn s", + "Ġwonder fully", + "Ġwonderful ly", + "Ġalter ations", + "Ġalteration s", + "Ġex ile", + "l sen", + "ls en", + "lse n", + "_ pause", + "_p ause", + "_pa use", + "_ LANGUAGE", + "_L ANGUAGE", + "_LANG UAGE", + "ĠUS DA", + "ĠUSD A", + "_ mysql", + "_m ysql", + "_my sql", + "_AM OUNT", + "ĠL IFE", + "ĠLI FE", + "Ġyoung sters", + "Ġyoungster s", + "Ġri ots", + "Ġriot s", + "Ġrio ts", + "[ E", + "Ġun forgettable", + ", },Ċ", + "Dis posed", + "Dispose d", + "Disp osed", + "ĠAss assin", + "ĠAssass in", + "U NG", + "UN G", + "ĠNew sp", + "ĠNews p", + "User Service", + ": aload", + ":a load", + "+ ',", + "+' ,", + "Ġsett lers", + "Ġsettle rs", + "Ġscre ams", + "Ġscream s", + "Ġincon venience", + ". Rotate", + ".R otate", + "Ġj ars", + "Ġja rs", + "Ġjar s", + "ĠP uzzle", + "ĠPu zzle", + "Ġm est", + "Ġme st", + "Ġmes t", + "ar si", + "ars i", + "ĠS harma", + "ĠSh arma", + "ĠShar ma", + "| (", + ". ds", + ".d s", + "ĠSa cred", + "ĠSac red", + "ĠSacr ed", + "_ evt", + "_e vt", + "_ev t", + "Ġexp resses", + "Ġexpress es", + "Ġexpr esses", + "Ġexpres ses", + "Ġh och", + "Ġho ch", + "Ġhoc h", + "ĠD uch", + "ĠDu ch", + "ĠDuc h", + ". calls", + ".c alls", + ".call s", + ".cal ls", + "t hr", + "th r", + "ĠShe ffield", + ". AlertDialog", + ".Alert Dialog", + "Ġrad ically", + "Ġradical ly", + "Ġt rous", + "Ġtr ous", + "Ġtro us", + "Ġtrou s", + "Ġprev ailing", + "Ġprevail ing", + "ĠWW II", + "âĢĻ n", + "ens ely", + "ense ly", + "Ġ Yesterday", + "ĠY esterday", + "ĠSir ius", + "ĠSiri us", + "Ġkill ers", + "Ġkil lers", + "Ġkiller s", + "Ġ FFT", + "ĠF FT", + "ĠFF T", + "Ġ oval", + "Ġo val", + "Ġov al", + "' ):čĊ", + "') :čĊ", + "'): čĊ", + "Ġ ìłķë³´", + "Ġìłķ ë³´", + "ou rage", + "our age", + "Ġ Checkbox", + "ĠCheck box", + "Work book", + ". defer", + ".de fer", + ".def er", + "_ floor", + "_f loor", + "_fl oor", + "Ġc ouncill", + "Ġcouncil l", + "Ġnors ke", + "Ġnorsk e", + "m oil", + "mo il", + "o rea", + "or ea", + "ore a", + "Ġmark eted", + "Ġmarket ed", + "_ SUR", + "_S UR", + "_SU R", + "x AA", + "xA A", + "Ġst ained", + "Ġsta ined", + "Ġstain ed", + "e ut", + "eu t", + "ĠM eng", + "ĠMe ng", + "ĠMen g", + "Ġ ieee", + "Ġi eee", + "Ġie ee", + ". extern", + ".ex tern", + ".ext ern", + "e gie", + "eg ie", + "Ġr app", + "Ġrap p", + "Ġra pp", + "ĠPy ongyang", + "' class", + "M ob", + "Mo b", + "Ġinitial Value", + "_ wave", + "_w ave", + "Ġ jab", + "Ġj ab", + "Ġja b", + "Ġmascul ine", + "Ġampl ifier", + "Ġ tty", + "Ġt ty", + "Ġtt y", + "Path Component", + "_ xt", + "_x t", + "ĠG FP", + "ĠGF P", + "/ sec", + "/s ec", + "/se c", + "ĉ dispatch", + "ĉdis patch", + "mark down", + "ĠS chn", + "ĠSc hn", + "ĠSch n", + "b ole", + "bo le", + "bol e", + "· ·", + "mouse move", + "Ġ errMsg", + "Ġerr Msg", + "Ġa sign", + "Ġas ign", + "Ġasi gn", + "_ mono", + "_m ono", + "_mon o", + "_mo no", + "To Selector", + "ĠZ u", + "( Rect", + "(R ect", + "Ġ ErrorCode", + "ĠError Code", + "l atin", + "la tin", + "lat in", + "ang ible", + "angi ble", + "v tk", + "vt k", + "CG Size", + "P okemon", + "Pok emon", + "Ġclass mates", + "Ġat tracts", + "Ġattr acts", + "Ġattract s", + "ĠT atto", + "ĠTat to", + "ul tan", + "ult an", + "ulta n", + "ol óg", + "Ġh alted", + "Ġhal ted", + "Ġhalt ed", + "ठ¨", + "ĠK art", + "ĠKar t", + "ĠKa rt", + "Ġ ue", + "Ġu e", + "_Init Structure", + "_InitStruct ure", + "Test Class", + "ĠAir bnb", + "_ \",", + "_\" ,", + "Ġchar coal", + "Ġ ipc", + "Ġi pc", + "Ġip c", + "Ġ Stretch", + "ĠSt retch", + "ĠStr etch", + ".g lide", + ".gl ide", + "lates AutoresizingMaskIntoConstraints", + "Ġp otion", + "Ġpo tion", + "Ġpot ion", + "ITT LE", + "Ġcount ert", + "Ġcounter t", + "_ hd", + "_h d", + "pre pared", + "prepare d", + "prep ared", + "A ds", + "Ad s", + "ĠV ampire", + "ro bots", + "robot s", + "rob ots", + ".Create Index", + "Status Label", + "Ġt ucked", + "af ür", + "U t", + "Ġswe ater", + "Ġsweat er", + "_ FN", + "_F N", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĉ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġĉ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĉ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĉ", + "at aka", + "ata ka", + "atak a", + "Ġeyeb rows", + "Ġeyebrow s", + "a coes", + "ac oes", + "aco es", + "u den", + "ud en", + "ude n", + ".Linear LayoutManager", + ".LinearLayout Manager", + "Ġs way", + "Ġsw ay", + "Ġmult in", + "Ġmulti n", + "Ġmul tin", + "( ))))Ċ", + "() )))Ċ", + "()) ))Ċ", + "())) )Ċ", + "()))) Ċ", + "Ġ NSUInteger", + "ĠNS UInteger", + "ĠMy Base", + "P artner", + "Part ner", + "uts chen", + "utsch en", + "utsche n", + "ĠC ater", + "ĠCa ter", + "ĠCat er", + ".set BackgroundColor", + ".setBackground Color", + "Ġaccompl ishment", + "Ġaccomplish ment", + "_ problem", + "_pro blem", + "_prob lem", + ".d td", + ".dt d", + "Ġ pageNumber", + "Ġpage Number", + "ĠpageNum ber", + "Ġj ackets", + "Ġjack ets", + "Ġjacket s", + "Ġc ropped", + "Ġcr opped", + "Ġcro pped", + "Ġcrop ped", + "u els", + "ue ls", + "uel s", + "ĠH ep", + "ĠHe p", + "Ġc apped", + "Ġcap ped", + "Ġca pped", + "* Math", + "*M ath", + "_ callbacks", + "_callback s", + "_call backs", + "Ġp ubb", + "Ġpub b", + "Ġpu bb", + "ĠBrun swick", + ". respond", + ".res pond", + ".resp ond", + "[ \"_", + "[\" _", + "Ġbed ding", + "hyth m", + "O X", + "( speed", + "(s peed", + "(sp eed", + "Ġpest icides", + "Ġpestic ides", + "Ġpesticide s", + "Ġ -------", + "Ġ- ------", + "Ġ-- -----", + "Ġ---- ---", + "Ġ--- ----", + "Ġ----- --", + "Ġ------ -", + ". Blue", + ".B lue", + ".Bl ue", + "Ġn oodles", + "Ġnood les", + "ĠG oes", + "ĠGo es", + "Ġs aver", + "Ġsa ver", + "Ġsave r", + "Ġsav er", + "o xy", + "ox y", + "_ completion", + "_com pletion", + "_comp letion", + "ĠSw inger", + "ĠSwing er", + "Ġ getDate", + "Ġget Date", + "Ġm inded", + "Ġmin ded", + "Ġmind ed", + "int egration", + "integr ation", + "ĠLot us", + "( stop", + "(s top", + "(st op", + "(', ');Ċ", + "(',' );Ċ", + "(',') ;Ċ", + "Ġfl oods", + "Ġflo ods", + "Ġflood s", + "Ġ Workflow", + "ĠWork flow", + "Ġe rupted", + "Ġerupt ed", + "M acro", + "Mac ro", + "Ma cro", + "ĠS auce", + "ĠSa uce", + "ĠSau ce", + "Ġ eventName", + "Ġevent Name", + "\\ Input", + "Break ing", + "Bre aking", + "ĉ when", + "ĉw hen", + "_ pw", + "_p w", + "I NDER", + "IN DER", + "IND ER", + "ĠWell ness", + "Ġv oxel", + "Ġvox el", + "ĠM ell", + "ĠMe ll", + "ĠMel l", + "Ġ MEDIA", + "ĠM EDIA", + "ĠMED IA", + "S ENS", + "SE NS", + "SEN S", + "ĠF unds", + "ĠFund s", + "ĠFun ds", + "ĠFu nds", + "ĠM ild", + "ĠMil d", + "ĠMi ld", + "< Array", + "Ċ", + "') ;?>Ċ", + "'); ?>Ċ", + "');?> Ċ", + "Ġtemp ting", + "Ġtempt ing", + "Ġtest ament", + "Ġb ible", + "Ġbi ble", + "Ġbib le", + "Ġconsult ed", + "Ġconsul ted", + "ĠIndex Error", + "è¨ ĺ", + "Ġkey pad", + "Ġke ypad", + "i zzo", + "iz zo", + "izz o", + "( ok", + "(o k", + "Ġwh atsapp", + "Ġwhats app", + "ĠRemote Exception", + "Ġte amed", + "Ġteam ed", + "Ġtea med", + "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ", + "» ,", + "Ġ getTime", + "Ġget Time", + "d iag", + "di ag", + "dia g", + "is sy", + "iss y", + "Ġ hed", + "Ġh ed", + "Ġhe d", + "Ġkn ots", + "Ġknot s", + "j om", + "jo m", + "Ġf unnel", + "Ġfun nel", + "-m ails", + "-mail s", + "Ġexp orting", + "Ġexport ing", + "Ġ VL", + "ĠV L", + "ĠK arn", + "ĠKar n", + "ĠKa rn", + "ĠBuddh ism", + "ĠAl lan", + "ĠAll an", + "ĠAlla n", + "_R ADIUS", + "Ġw ording", + "Ġword ing", + "Ġwor ding", + "Ġ Forget", + "ĠF orget", + "ĠFor get", + "ĠForge t", + "ĠForg et", + "ĠCor ona", + "ĠCoron a", + "i phy", + "ip hy", + "iph y", + "Ġlim burg", + "Ġlimb urg", + "ug gy", + "ugg y", + "ĠUser Repository", + "i min", + "im in", + "imi n", + "( ele", + "(e le", + "(el e", + "Ġlabel led", + "Ġlab elled", + "ç¤ ¾", + "ĠH erman", + "ĠHer man", + "ĠHerm an", + ". qq", + ".q q", + "Ġ \"));Ċ", + "Ġ\" ));Ċ", + "Ġ\") );Ċ", + "Ġ\")) ;Ċ", + "ie ber", + ". Translate", + ".Trans late", + "r yn", + "ry n", + "Ġdes env", + "Ġdese nv", + "u md", + "um d", + "Sim ply", + "ĉ mode", + "ĉm ode", + "ĉmod e", + "R pc", + "Rp c", + "ĠVal encia", + "ĠVale ncia", + "Ġstaff ers", + "Ġstaffer s", + "Ġse lv", + "Ġsel v", + "ĠS pike", + "ĠSp ike", + "ĠSpi ke", + "Ġd elic", + "Ġde lic", + "Ġdel ic", + "Ġ eru", + "Ġe ru", + "Ġer u", + "_ DT", + "_D T", + "J udge", + "Jud ge", + "Ju dge", + "á» ķ", + "ĠB asin", + "ĠBa sin", + "ĠBas in", + ". mutable", + ".m utable", + ".mu table", + "\" url", + "Ġtar iff", + "Ġtarif f", + "ĠSlee ve", + "ĠSle eve", + "Ġ flare", + "Ġfl are", + "Ġfla re", + ". dropout", + ".drop out", + "Ġb rides", + "Ġbr ides", + "Ġbri des", + "Ġbride s", + "Ġbrid es", + ") ),čĊ", + ")) ,čĊ", + ")), čĊ", + "_ constraints", + "_con straints", + "_constraint s", + "d estruct", + "de struct", + "Out line", + "Ġdisappe ars", + "Ġdisappear s", + "_ locked", + "_l ocked", + "_lock ed", + "_loc ked", + "ĠNS LocalizedString", + "c ke", + "ck e", + "ĉ null", + "ĉn ull", + "ad resse", + "adr esse", + "adress e", + "Ġt opping", + "Ġto pping", + "Ġtop ping", + "Ġtopp ing", + "ĠJ oker", + "ĠJo ker", + "b ishop", + "bi shop", + "bis hop", + "bish op", + "н оÑģÑĤÑĮ", + "но ÑģÑĤÑĮ", + "ноÑģÑĤ ÑĮ", + "ноÑģ ÑĤÑĮ", + "and ering", + "ander ing", + "ande ring", + "_ amp", + "_a mp", + "_am p", + "= time", + "=t ime", + "_ Space", + "_S pace", + "_P ULL", + "' =", + "Ġant iqu", + "Ġanti qu", + "Ġc ach", + "Ġca ch", + "Ġcac h", + "_ __ĊĊ", + "__ _ĊĊ", + "___ ĊĊ", + "O NES", + "ON ES", + "ONE S", + "о Ñı", + "Ġ unread", + "Ġun read", + "Ġunre ad", + "Ġunr ead", + ". policy", + ".p olicy", + ".pol icy", + "oooo oooo", + "ëŁ ¬", + "Ġ usted", + "Ġu sted", + "Ġus ted", + "Ġust ed", + "ĠR ece", + "ĠRe ce", + "ĠRec e", + "Ġal lem", + "Ġall em", + "Ġalle m", + "ãĥ¼ ãĤ¹", + "ãĥ¼ãĤ ¹", + "ĠThough ts", + "ĠThought s", + "ve illance", + "i strate", + "ist rate", + "istr ate", + "istra te", + "istrat e", + "_ lane", + "_l ane", + "_la ne", + "Ġf amed", + "Ġfam ed", + "Ġfa med", + "Ġfame d", + ". GetName", + ".Get Name", + "Ġsmooth er", + "Ġsmo other", + "Ġ Qualified", + "ĠQual ified", + "a zers", + "az ers", + "aze rs", + "azer s", + "_ geo", + "_g eo", + "_ge o", + "F ax", + "Fa x", + "ĠM inds", + "ĠMin ds", + "ĠMi nds", + "ĠMind s", + "Ġ Raises", + "ĠR aises", + "ĠRa ises", + "ĠRaise s", + "ĠRai ses", + "Ġtrans cripts", + "Ġtran scripts", + "Ġtranscript s", + "Con versation", + "Ġre marked", + "Ġrem arked", + "Ġremark ed", + "Ġremar ked", + "ëĤ ĺ", + "d ling", + "dl ing", + "Ġdeploy ing", + "Ġshared Application", + "Ġ kp", + "Ġk p", + "FontAwesome Icon", + "_ dummy", + "_d ummy", + "re iben", + "reib en", + "rei ben", + "ĠJane iro", + "Dir ections", + "Direction s", + "Direct ions", + "Di rections", + "Dire ctions", + ".get Bean", + ".getB ean", + "s ass", + "sa ss", + "Ġcomm anders", + "Ġcommand ers", + "Ġcommander s", + "Ġcommande rs", + "v ation", + "va tion", + "vat ion", + "error Code", + "ĠAl loy", + "ĠAll oy", + ". localized", + ".local ized", + "Ð ij", + "Ġdish washer", + "Ġ Soup", + "ĠS oup", + "ĠSo up", + "ĠSou p", + "N u", + "_ Default", + "_D efault", + "_De fault", + "_Def ault", + "Ġun even", + "Ġune ven", + "Ġ />\";Ċ", + "Ġ/ >\";Ċ", + "Ġ/> \";Ċ", + "- Based", + "-B ased", + "Ġseam lessly", + "Ġseamless ly", + "- null", + "-n ull", + "Ġ XC", + "ĠX C", + "Ġst ew", + "Ġste w", + "( delay", + "(d elay", + "(de lay", + "(del ay", + "AT ORS", + "ATOR S", + "ATO RS", + "ĠWhe eler", + "ĠWheel er", + "\" H", + "e ast", + "ea st", + ". air", + ".a ir", + ".ai r", + "âĢľ But", + "Object Context", + "success fully", + "successful ly", + "_ land", + "_l and", + "_la nd", + "Ġf olds", + "Ġfol ds", + "Ġfold s", + "Ġfo lds", + "_ COORD", + "_CO ORD", + "Ġsub po", + ".get Address", + ".g etAddress", + "in str", + "ins tr", + "inst r", + "Material s", + "Ñĥ ÑģÑĤ", + "ÑĥÑģ ÑĤ", + "de posit", + "dep osit", + "- last", + "-l ast", + "-la st", + "_ GRAY", + "_G RAY", + "_GR AY", + "_GRA Y", + "= find", + "=f ind", + "Ġmut ant", + "Ġmu tant", + "Ġlesb ienne", + "Ġlesbi enne", + "let cher", + "R OUGH", + "RO UGH", + "ur eka", + "ure ka", + ". capture", + ".c apture", + ".cap ture", + "Ġ enn", + "Ġe nn", + "Ġen n", + "Ġ ([[", + "Ġ( [[", + "Ġ([ [", + "ĠF lu", + "ĠFl u", + "Ġ taskId", + "Ġtask Id", + "ĠHus sein", + "ĠHuss ein", + ". folder", + ".f older", + ".fold er", + "Ġa usterity", + "IST RATION", + "ISTR ATION", + "_ Impl", + "_I mpl", + "注 æĦı", + "Ġdec ree", + "Ġdecre e", + "- chat", + "-c hat", + "-ch at", + "Ġim plication", + "Ġimp lication", + "Ġimpl ication", + "Ġimplic ation", + "Ġgu esses", + "Ġguess es", + "ul kan", + "ulk an", + "An alytics", + "Analy tics", + ". plus", + ".p lus", + ".pl us", + "COM MAND", + "COMM AND", + "е ли", + "ел и", + "» ĊĊ", + "»Ċ Ċ", + "_ SITE", + "_S ITE", + "_SI TE", + "Ġ equalTo", + "Ġequal To", + "Support FragmentManager", + "Ġ Recording", + "ĠRec ording", + "ĠRecord ing", + "å®Į æĪIJ", + "Ġbag gage", + "Ġpitch ers", + "Ġpit chers", + "Ġpitcher s", + "ĠE h", + "o que", + "oq ue", + "ĉ cnt", + "ĉc nt", + "Ġ =>$", + "Ġ= >$", + "Ġ=> $", + "/ foo", + "/f oo", + "I RA", + "IR A", + "ĠSat ellite", + "bo rah", + "bor ah", + "Ġ }}\"Ċ", + "Ġ} }\"Ċ", + "Ġ}} \"Ċ", + "Ġ}}\" Ċ", + "ĠE nds", + "ĠEn ds", + "ĠEnd s", + "ĠS pray", + "ĠSp ray", + "ĠSpr ay", + ", param", + ",p aram", + ". Chrome", + ".Ch rome", + "* q", + "th ought", + "though t", + "ib rated", + "ibr ated", + "ibrate d", + "Ġth ieves", + "Ġbenefici aries", + "En tered", + "Ent ered", + "Enter ed", + "ottes ville", + "otte sville", + "Ġveter in", + "Ġvet erin", + "By ID", + "qu ipe", + "quip e", + "qui pe", + "um ption", + "ump tion", + "umpt ion", + "- unit", + "-un it", + "-u nit", + "Execution Context", + "@ s", + "ĠG iov", + "ĠGi ov", + "ĠGio v", + ". ToolTip", + ".Tool Tip", + "_ friend", + "_f riend", + "( attributes", + "(at tributes", + "(attribute s", + "Ġd umping", + "Ġdump ing", + "Ġdum ping", + "Ġ JC", + "ĠJ C", + "_ DOCUMENT", + "_D OCUMENT", + "_DOC UMENT", + "ĠAr mour", + "ĠArm our", + "( insert", + "(in sert", + "(ins ert", + ". HorizontalAlignment", + ".Horizontal Alignment", + "Ġ Qed", + "ĠQ ed", + "ãģĦ ãģ¾ãģĻ", + "/ git", + "/g it", + "Ġ YYYY", + "ĠY YYY", + "ĠYY YY", + "ĠCar diff", + "ĠCard iff", + "Ġ apa", + "Ġa pa", + "Ġap a", + "org anic", + "organ ic", + "ĠWhere as", + "ĠWhe reas", + "Ġ æĿ", + "Ġæ Ŀ", + "ĠM ia", + "ĠMi a", + "Ġdemol ition", + "Ġs cars", + "Ġsc ars", + "Ġsca rs", + "Ġscar s", + "Ġ pai", + "Ġp ai", + "Ġpa i", + "Ġre tries", + "Ġret ries", + "Ġretrie s", + "Ġretr ies", + "Ġ rq", + "Ġr q", + "ĠD enis", + "ĠDe nis", + "ĠDen is", + "( Utils", + "(Util s", + "Ġallev iate", + "Ġ PIC", + "ĠP IC", + "ĠPI C", + "i due", + "id ue", + "Ġacknowled ging", + "Ġ// ////////////////////////////////", + "Ġ////////////////// ////////////////", + "ç¡® å®ļ", + "Ä «", + "\\ Json", + ". binary", + ".b inary", + ".bin ary", + "Ġx type", + "Ġxt ype", + "sign als", + "signal s", + "Ġ Appearance", + "ĠAp pearance", + "& r", + "} s", + "C i", + "ĠI llum", + "ĠIl lum", + "ĠIll um", + "p orate", + "por ate", + "po rate", + "pora te", + "h og", + "ho g", + "Ġ indexOf", + "Ġindex Of", + "\\ Command", + "_ parallel", + "_par allel", + "ĠSher lock", + "í ĥ", + "Ġ\" \")čĊ", + "Ġ\"\" )čĊ", + "Ġ\"\") čĊ", + "//////////////// ////////////////////////////////////////////////////////////////////////////////", + "//////////////////////////////// ////////////////////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////// ////////////////////////////////", + "//////////////////////////////////////////////// ////////////////////////////////////////////////", + "//////////////////////////////////////////////////////////////////////////////// ////////////////", + "Ġcritic ize", + "Ġ Soap", + "ĠSo ap", + "Ġ Matcher", + "ĠM atcher", + "ĠMat cher", + "ĠMatch er", + "Ġgr illed", + "Ġgrill ed", + "Ġgrille d", + "* T", + "Ġad ore", + "Ġado re", + "ul ling", + "ull ing", + "Ġje doch", + "Ġjed och", + "_ refs", + "_re fs", + "_r efs", + "_ref s", + "lean up", + "ĠJ AXB", + "ĠJA XB", + "Ġr oses", + "Ġro ses", + "Ġrose s", + "Ġros es", + "ĠL iam", + "ĠLi am", + "ĠLia m", + "size i", + "siz ei", + "Ġget char", + "Ġgetch ar", + "Ġt arde", + "Ġtar de", + "Ġtard e", + "- tooltip", + "-to oltip", + "-tool tip", + "Ġqual ifier", + "Ġ Intermediate", + "ĠInter mediate", + "_ Window", + "_W indow", + "ĠM alta", + "ĠMal ta", + "Dis connect", + "e where", + "ew here", + "C ampo", + "Cam po", + "Camp o", + "Ġirr ational", + "l edo", + "le do", + "led o", + "Ġ DN", + "ĠD N", + "AR GV", + "ARG V", + "Ġout ro", + "Ġou tro", + "Ġoutr o", + "Ġth irteen", + "Jose ph", + "Jos eph", + "M AR", + "MA R", + "/ gl", + "/g l", + "J ess", + "Je ss", + "ĠPsych iat", + "Ġpadding Bottom", + "- loop", + "-l oop", + "-lo op", + "/ fonts", + "/font s", + "_ seen", + "_s een", + "_se en", + "Te ams", + "Team s", + "React DOM", + "( man", + "(m an", + "( xpath", + "(x path", + ". getSimpleName", + ".get SimpleName", + "> (*", + ">( *", + "ĠP vt", + "ĠPv t", + "Ġel ders", + "Ġelder s", + "Ġelde rs", + "Ġ pies", + "Ġp ies", + "Ġpie s", + "Ġpi es", + ".user Agent", + "- region", + "-reg ion", + "ĠGre eks", + "ĠGreek s", + "ĠGree ks", + "( fragment", + "(f ragment", + "(fr agment", + "s tu", + "st u", + "Ġcouncil s", + "Ġst amina", + "Ġsta mina", + "ĠGod dess", + "è ¥¿", + "è¥ ¿", + "Ġphilosoph ers", + "Ġphilosopher s", + "Ġperson e", + "Ġpers one", + "Ġperso ne", + "ĠL ose", + "ĠLo se", + "ĠLos e", + "Ġ CLR", + "ĠC LR", + "ĠCL R", + "Ġ Docs", + "ĠD ocs", + "ĠDo cs", + "ĠDoc s", + "Ġso ak", + "Ġ HOLDER", + "ĠH OLDER", + "ĠHOLD ER", + "ĠHOL DER", + "Ġb ells", + "Ġbel ls", + "Ġbell s", + "hash Code", + "R ATE", + "RA TE", + "_WE IGHT", + "in ous", + "ino us", + "inou s", + "en dra", + "end ra", + "oph obic", + "Ġp rose", + "Ġpro se", + "Ġpr ose", + "Ġpros e", + "Ġf inely", + "Ġfin ely", + "Ġfine ly", + "/ oauth", + "/o auth", + "( space", + "(s pace", + "(sp ace", + "a dge", + "ad ge", + "ĠM ama", + "ĠMa ma", + "ĠMam a", + "Ġstring Buffer", + "Ġst int", + "Ġm isma", + "Ġmis ma", + "Ġmism a", + "Ġvill ains", + "Ġvillain s", + "Ġvilla ins", + "ĠCrime a", + "Ġdipl oma", + "Ġdiplom a", + "Ġпо Ñģл", + "ĠпоÑģ л", + "ĠB ea", + "ĠBe a", + "( join", + "(j oin", + "Ġ íķ´", + "Ġíķ ´", + "CH AT", + "CHA T", + "p ering", + "pe ring", + "per ing", + "peri ng", + "ĠC ros", + "ĠCr os", + "ĠCro s", + "Ġmon keys", + "Ġmonkey s", + "Ġp reds", + "Ġpr eds", + "Ġpre ds", + "Ġpred s", + "y la", + "yl a", + ", ,,", + ",, ,", + "Ġv ibrator", + "Ġvibr ator", + "Ġ NU", + "ĠN U", + "åħ Ī", + "f ant", + "fa nt", + "fan t", + "z et", + "ze t", + "Ġb ietet", + "un ft", + "s worth", + "sw orth", + ". Flow", + ".F low", + ".Fl ow", + "Ġpsych ed", + "Ġpsy ched", + "Ġpsyche d", + "ĠContin ental", + "ĠContinent al", + "> t", + "Ġqu ilt", + "Ġq uilt", + "Ġqui lt", + "Ġquil t", + ". UP", + ".U P", + "Ġexpans ive", + "Dis pose", + "Disp ose", + "( language", + "(l anguage", + "C aps", + "Cap s", + "Ca ps", + "_ ZONE", + "_Z ONE", + "Ġre cycle", + "Ġr ecycle", + "Ġrec ycle", + "Ġrecycl e", + "Ġ Managed", + "ĠMan aged", + "ĠManage d", + "ĠMana ged", + "current Color", + ". broadcast", + ".b roadcast", + "sign In", + ". prom", + ".p rom", + ".pro m", + ".pr om", + "l lu", + "ll u", + "ue blo", + "Ġpun ches", + "Ġpunch es", + "Ġaut omat", + "Ġauto mat", + "Ġautom at", + "Ġassign ing", + "Ġcreate User", + "ĠAl lied", + "ĠAll ied", + "Ġcon ductor", + "Ġconduct or", + "Ġcond uctor", + "Ġconduc tor", + "Ġcondu ctor", + "Ĥ ¨", + "Ġs addle", + "Ġsad dle", + "Ġsadd le", + "Ġ dni", + "Ġd ni", + "Ġdn i", + "o medical", + "omed ical", + "- West", + "-W est", + "Positive Button", + "Ġ italic", + "Ġit alic", + "? [", + "( trigger", + "(tr igger", + "Ġele phants", + "Ġelephant s", + "\":\" \",\"", + "\":\"\" ,\"", + "Ġcal iber", + "raft ed", + "raf ted", + "d igits", + "digit s", + "dig its", + "Ġ marshal", + "Ġm arshal", + "Ġmar shal", + "Ġmarsh al", + "Ġmars hal", + "m illiseconds", + "mill iseconds", + "m arkers", + "mark ers", + "mar kers", + "marker s", + "m om", + "mo m", + "/ place", + "/p lace", + "/pl ace", + "Ġhol istic", + ": t", + "# ,", + "Ġb oto", + "Ġbo to", + "Ġbot o", + "Ġnause a", + "Ġnau sea", + "ĠSh ooting", + "ĠShoot ing", + "ĠSho oting", + "i tech", + "it ech", + "ite ch", + "Ġtext Status", + "< Class", + " ())Ċ", + ">( ))Ċ", + ">() )Ċ", + ">()) Ċ", + "ADD RESS", + "ADDR ESS", + "B ST", + "BS T", + "et zt", + "etz t", + "ĠQ gs", + "S ense", + "Sen se", + "Exception Handler", + "ĠC hu", + "ĠCh u", + ".get OwnProperty", + "Ġexerc ised", + "Ġexercise d", + "i otic", + "io tic", + "iot ic", + "ĠRe leases", + "ĠRelease s", + "Ġp interest", + "o lie", + "ol ie", + "oli e", + "i soft", + "is oft", + "iso ft", + "Ġsequ encing", + "Ġpa dre", + "Ġpad re", + "Ġpadr e", + "] ));čĊ", + "]) );čĊ", + "])) ;čĊ", + "])); čĊ", + "( radius", + "(r adius", + "(rad ius", + ". med", + ".m ed", + ".me d", + "ain ties", + "aint ies", + ".Object Model", + "Ġ emple", + "Ġem ple", + "Ġemp le", + "Ġseg uro", + "Ġsegu ro", + "St ars", + "Star s", + "Ġqual itative", + "le mn", + "lem n", + "á» ±", + "> \").", + ">\" ).", + ">\") .", + "Ġ gx", + "Ġg x", + "- cert", + "-c ert", + "-ce rt", + "ĠA STM", + "ĠAS TM", + "ĠAST M", + "Ġ fullname", + "Ġfull name", + "Ġful lname", + "Ġte lemetry", + "Ġtele metry", + "ĠCamb odia", + "_ ul", + "_u l", + "ĠCl are", + "ĠClar e", + "ĠCla re", + "C USTOM", + "Q C", + "ĠU ns", + "ĠUn s", + "Ġ HTTPS", + "ĠHTTP S", + "ĠPar kinson", + "ĠPark inson", + "ancy box", + "', '.", + "',' .", + "T ue", + "Tu e", + ". getLast", + ".get Last", + "Ġ abi", + "Ġa bi", + "Ġab i", + "Äħ d", + "A st", + "As t", + "Ġ Editing", + "ĠEd iting", + "ĠEdit ing", + ". Unity", + ".Un ity", + ".Unit y", + "j mp", + "jm p", + "Ġm ats", + "Ġmat s", + "Ġma ts", + "Ġshared Preferences", + "Cap tain", + "Capt ain", + ". pageSize", + ".page Size", + "Ġ rtl", + "Ġr tl", + "Ġrt l", + "Ġan meld", + "Runtime Object", + "Ġdem ande", + "Ġdemand e", + "( \";", + "(\" ;", + "se ite", + "sei te", + "- headed", + "-head ed", + "-he aded", + "ĠK ra", + "ĠKr a", + "Ġ FONT", + "ĠF ONT", + "ĠFO NT", + "` \\", + "Class NotFoundException", + ". avg", + ".a vg", + ".av g", + "a tical", + "at ical", + "atic al", + "ati cal", + "atica l", + "A j", + "Ġpermit ting", + "Ġperm itting", + "P roj", + "Pro j", + "Pr oj", + "ERR Q", + "Ġcre ampie", + "Ġcream pie", + "ĠBuy er", + "ĠBu yer", + "- modules", + "-mod ules", + "-module s", + "ĠSunday s", + "ĠSun days", + "ĠSund ays", + "| `Ċ", + "Ġday time", + "Ġ +(", + "Ġ+ (", + "Ġgl itch", + "Ġ Operand", + "ĠOper and", + "ĠOpera nd", + "Ġtox ins", + "Ġtoxin s", + "i nya", + "in ya", + "iny a", + "D NS", + "DN S", + "ĠS as", + "ĠSa s", + "C ake", + "Ca ke", + "ĠNational s", + "ĠNation als", + ". addTo", + ".add To", + "Ġs inking", + "Ġsin king", + "Ġsink ing", + "Ġcompreh ension", + "Ġs cor", + "Ġsc or", + "Ġsco r", + "a gements", + "ag ements", + "age ments", + "agement s", + "agem ents", + "Ġt ard", + "Ġta rd", + "Ġtar d", + "Ġm arching", + "Ġmar ching", + "Ġmarch ing", + "ĠM TV", + "ĠMT V", + "Ġs ane", + "Ġsa ne", + "Ġsan e", + "Create Info", + "Ạ¯", + "Ġend Index", + "ĉ layout", + "ĉl ayout", + "Ġ åIJį", + "ĠåIJ į", + "S ITE", + "SI TE", + "ĠT HERE", + "ĠTHE RE", + "ĠTH ERE", + "Ġ[ {'", + "Ġ[{ '", + "opath ic", + "opa thic", + "Ġtrans mitter", + "Ġtransmit ter", + "/ body", + "/b ody", + "Ġp und", + "Ġpun d", + "Ġpu nd", + "Ġ Closing", + "ĠC losing", + "ĠCl osing", + "ĠClo sing", + "Ġ setattr", + "Ġset attr", + "Ġ bounded", + "Ġb ounded", + "Ġbo unded", + "Ġbound ed", + "At las", + "Atl as", + "s uming", + "sum ing", + "su ming", + "( times", + "(t imes", + "(time s", + "(ti mes", + "p arer", + "par er", + "pare r", + "pa rer", + "y nom", + "yn om", + "fe it", + "Ġf rem", + "Ġfr em", + "Ġfre m", + "- leg", + "-l eg", + "-le g", + "ĠB ras", + "ĠBr as", + "ĠBra s", + "> #", + "Ġì¶ ľëł¥", + "Ġì¶ľ ëł¥", + "Ġ INSTANCE", + "ĠIN STANCE", + "ĠINST ANCE", + "ĠC ouch", + "ĠCo uch", + "ĠCou ch", + "_ hosts", + "_host s", + "lik elihood", + ". Marker", + ".M arker", + ".Mark er", + ".Mar ker", + "ĠM asks", + "ĠMas ks", + "ĠMask s", + "Ġc ereal", + "Ġce real", + "Ġcere al", + "ut ilities", + "util ities", + "Ġelement al", + "Ġele mental", + "Ġelem ental", + "Ġdist orted", + "Ġdistort ed", + "in active", + "c ry", + "cr y", + "W L", + "UPPORT ED", + ". Throws", + ".Th rows", + ".Throw s", + "/ schema", + "/s chema", + "s erie", + "se rie", + "ser ie", + ". \"',", + ".\" ',", + ".\"' ,", + "ĠBened ict", + "ĠBene dict", + "- picker", + "-p icker", + "-pic ker", + "ig gs", + "igg s", + "ĠP irate", + "ĠPi rate", + "ĠPir ate", + "åij¨ æľŁ", + "ĠThe ma", + "ĠTh ema", + "ĠThem a", + "ĠSouth ampton", + "Ġarray With", + "ĠPaul a", + "ĠPa ula", + "Ġpred ictor", + "Ġpredict or", + "Ġpredic tor", + "- Ass", + "-A ss", + ". userid", + ".user id", + ".use rid", + "Ġ peri", + "Ġp eri", + "Ġper i", + "Ġpe ri", + "Ġexagger ated", + "u rate", + "ur ate", + "ura te", + "urat e", + "arse ille", + "ĠCon cent", + "ĠConc ent", + "ĠConce nt", + "ĠP ik", + "ĠPi k", + "Ġ@ _;ĊĊ", + "Ġ@_;Ċ Ċ", + "Ġ@_ ;ĊĊ", + "Ġform ations", + "Ġformat ions", + "Ġformation s", + "Ġden omin", + "Ġdenom in", + "\" />.Ċ", + "\"/ >.Ċ", + "\"/> .Ċ", + "end edor", + "ended or", + "Ġpan cre", + "Ġpanc re", + "Ġ amt", + "Ġa mt", + "Ġam t", + "Ġon Resume", + "on Delete", + "ĠB CH", + "ĠBC H", + ") (\"", + ")( \"", + "m ovement", + "move ment", + "mo vement", + "mov ement", + "Ġpot assium", + "", + "Ġ-- ->", + "Ġ--- >", + "ĠP PC", + "ĠPP C", + "i sz", + "is z", + "ake FromNib", + "Ġ Disp", + "ĠD isp", + "ĠDis p", + "ĠDi sp", + "ĠAth letics", + "ĠAthletic s", + "Ġnight club", + "G OOD", + "GO OD", + ".set Geometry", + "+ [", + "/ send", + "/s end", + "/se nd", + "Ġbin aries", + "Ġr áp", + "Ġrá p", + ": req", + ":r eq", + "-con suming", + "-cons uming", + "er time", + "ert ime", + "erti me", + "UP DATED", + "UPDATE D", + "_ nullable", + "_null able", + "V IN", + "VI N", + "u lia", + "ul ia", + "uli a", + "c yan", + "cy an", + "Ġmisunder standing", + "Ġmisunderstand ing", + "o rical", + "or ical", + "ori cal", + "oric al", + "deg rees", + "degree s", + "Le ading", + "Lead ing", + ". AR", + ".A R", + "ic kest", + "ick est", + "N uevo", + "uf oria", + "Ġgo odies", + "Ġgood ies", + "Ġf ores", + "Ġfor es", + "Ġfore s", + "Ġfo res", + "() <<\"", + "()<< \"", + "()< <\"", + "ad emic", + "ade mic", + "adem ic", + "Action Creators", + "server name", + "( nt", + "(n t", + "db Context", + "Ġair borne", + "Ġexhib itions", + "Ġexhibition s", + "Ġexhibit ions", + "c ele", + "ce le", + "cel e", + "Ġt ela", + "Ġte la", + "Ġtel a", + "< Movie", + "", + "() \">", + "()\" >", + ".set PreferredSize", + "ĠM ID", + "ĠMI D", + "ĠA less", + "ĠAl ess", + "ĠAle ss", + "Ġhorse power", + "Ġa tm", + "Ġat m", + "ĠPack aging", + "Ġc iphertext", + "Ġcipher text", + "Request Method", + "Ġbe iden", + "Ġbei den", + "Ġbeide n", + "è £", + "ĠP OW", + "ĠPO W", + ".Write Header", + "d irector", + "dir ector", + "direct or", + "dire ctor", + "- but", + "-b ut", + "ãģł ãģķãģĦ", + "in cer", + "ince r", + "inc er", + "_ dn", + "_d n", + "! !!!!", + "!! !!!", + "!!! !!", + "!!!! !", + "Ġmanufact ures", + "Ġmanufacture s", + ". TextUtils", + ".Text Utils", + "Ġcon sciously", + "Ġconsc iously", + "Ġconscious ly", + "Ġb ounced", + "Ġbounce d", + "c ulture", + "cul ture", + "cult ure", + "ĠS par", + "ĠSp ar", + "ĠSpa r", + "ĠP iper", + "ĠPi per", + "ĠPipe r", + "ĠPip er", + ". press", + ".p ress", + ".pre ss", + ".pr ess", + ".pres s", + "- owner", + "-o wner", + "Ġe valuator", + "Ġeval uator", + "Ġevalu ator", + "Ġ STREAM", + "ĠST REAM", + ".PictureBox SizeMode", + "Ġsu gars", + "Ġsugar s", + "Ġsug ars", + "Screen Width", + "Ġnext State", + "Ġiv ory", + "Ġbr unch", + "Ġbrun ch", + "d ensity", + "dens ity", + "_ OW", + "_O W", + "ĠCoron avirus", + "ĠC FR", + "ĠCF R", + "b ak", + "ba k", + "\\ Category", + "\\C ategory", + "æķ° ç»Ħ", + "Ġinvoke virtual", + "} ()Ċ", + "}( )Ċ", + "Ġs ujet", + "Ġsu jet", + "- marker", + "-m arker", + "-mark er", + "-mar ker", + "is digit", + "isd igit", + "ĠM obil", + "ĠMo bil", + "ĠMob il", + "ĠJsonRequest Behavior", + "_ REMOTE", + "_RE MOTE", + ".exists Sync", + "Ġrich es", + "Ġri ches", + "Ġric hes", + ".p resenter", + ".present er", + ".pres enter", + "Ġgl Color", + "Ġh anya", + "Ġha nya", + "Ġhan ya", + "Ġfort ress", + "Ġfl ashed", + "Ġflash ed", + "Ġfla shed", + "v iz", + "vi z", + "requ ently", + "requent ly", + "b uat", + "bu at", + "$ con", + "$c on", + "> |", + ". Func", + ".F unc", + "Ġhum orous", + "Ġhumor ous", + "u em", + "ue m", + ". ZERO", + ".Z ERO", + "ĠS TL", + "ĠST L", + "ĠB uk", + "ĠBu k", + "/ sample", + "/s ample", + "ĠG ros", + "ĠGr os", + "ĠGro s", + "Rec ipes", + "Recipe s", + "Ġinf lated", + "Ġinfl ated", + "Ġinflate d", + "Ġsw ung", + ": F", + "F acing", + "Fac ing", + "Fa cing", + ". Theme", + ".Th eme", + ".The me", + "н ик", + "ни к", + "Ġspl endid", + "Ġrequest Id", + ".Center Screen", + "/ autoload", + "/auto load", + "embed ded", + "_ depart", + "_de part", + "_dep art", + "Ġ Ports", + "ĠP orts", + "ĠPort s", + "ĠPo rts", + "ĠPor ts", + "๠ĥ", + "ай д", + "disc ussion", + "_ consum", + "_con sum", + "_cons um", + "Ġsc outs", + "Ġsco uts", + "Ġscout s", + "Ġcol abor", + "Ġcola bor", + ". Stage", + ".St age", + ". nano", + ".n ano", + ".nan o", + "el dorf", + "eld orf", + "eldo rf", + "Ġgem acht", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "Ġpolicy makers", + "Ġpolicym akers", + "_P KT", + "_PK T", + ", Th", + ",T h", + "o ky", + "ok y", + "_ UID", + "_U ID", + "_UI D", + "P ing", + "Pin g", + "Pi ng", + "Ġor chest", + "Ġorch est", + "Ġorc hest", + "Ġop tics", + "Ġopt ics", + "Ġoptic s", + "u han", + "uh an", + "ĠX OR", + "ĠXO R", + "Ġespañ ol", + "ĠAd idas", + "r ng", + "rn g", + "m ans", + "man s", + "ma ns", + ".v stack", + "Ġget away", + "Ġh ierarchical", + "Ġhier archical", + "ano ia", + "anoi a", + "ĠBitmap Factory", + "re alm", + "rea lm", + "real m", + "ĉ ap", + "ĉa p", + "_ apps", + "_a pps", + "_app s", + "_ap ps", + "- divider", + "-div ider", + "-di vider", + ". drawer", + ".d rawer", + ".draw er", + "ĠH ARD", + "ĠHA RD", + "ĠHAR D", + "'] ;?>Ċ", + "']; ?>Ċ", + "'];?> Ċ", + "- packed", + "-p acked", + "-pack ed", + "æ² »", + "_STRUCT URE", + "[ Y", + "i Param", + "( eq", + "(e q", + "Ġencompass es", + "Ġ\\ ĊĊ", + "Ġ\\Ċ Ċ", + "- >[", + "-> [", + "& utm", + "g roupon", + "gr oupon", + "group on", + "gro upon", + "st rate", + "str ate", + "stra te", + "D Y", + "om orphic", + "' :[", + "': [", + "Ġgrav itational", + "ĠM icha", + "ĠMich a", + "ĠMi cha", + "ĠMic ha", + "ĠT encent", + "ĠTen cent", + "Ġco ached", + "Ġcoach ed", + "ì¶ ľ", + "Ñĥ менÑĤ", + "Ñĥм енÑĤ", + "/ mobile", + "/m obile", + "Mouse Down", + "b ud", + "bu d", + "ĠY as", + "ĠYa s", + "Ġ Providers", + "ĠPro viders", + "ĠProvid ers", + "ĠProvider s", + "ĠProvide rs", + "ĠProv iders", + "N Z", + "ĉ report", + "ĉre port", + "ĉrep ort", + "err msg", + "Ġimage Path", + "act erial", + "acter ial", + "acteria l", + "ĠM anga", + "ĠMan ga", + "ĠMa nga", + "ĠMang a", + "wick lung", + "( usuario", + "(us uario", + "\" ));čĊčĊ", + "\") );čĊčĊ", + "\")) ;čĊčĊ", + "\"));čĊ čĊ", + "\")); čĊčĊ", + "/ ***", + "/* **", + "/** *", + "Ġorgan ise", + "Ġorganis e", + "Index ed", + "_ QUAL", + "_Q UAL", + "_QU AL", + "( PyObject", + "(Py Object", + "Ġsurrender ed", + "PO CH", + "ĠN OTES", + "ĠNOT ES", + "ĠNO TES", + "ĠNOTE S", + "\\ \\\"", + "\\\\ \"", + "- job", + "-j ob", + "Ġseven ty", + "Ġsevent y", + "Ġsev enty", + "# ###Ċ", + "## ##Ċ", + "#### Ċ", + "### #Ċ", + "ĠMan or", + "ĠMa nor", + "Ġdown right", + "Ġtime frame", + "ins urance", + "che cker", + "check er", + "Ġ SECRET", + "ĠSE CRET", + "ĠSEC RET", + "Ġecho es", + "Ġech oes", + "ĠCar men", + "ĠCarm en", + ".set HorizontalAlignment", + ".setHorizontal Alignment", + "Ġ isChecked", + "Ġis Checked", + "Ġ TOR", + "ĠT OR", + "ĠTO R", + "_ nn", + "_n n", + "( '(", + "(' (", + "Fetch Request", + "ĠPrint ed", + "Fl uid", + "Ġ STACK", + "ĠST ACK", + "ĠSTA CK", + "G ES", + "GE S", + "a igned", + "aign ed", + "i gor", + "ig or", + "igo r", + ". Unknown", + ".Un known", + "C BC", + "CB C", + "ĠCarl son", + ". URI", + ".U RI", + ".UR I", + "Ġp light", + "Ġpl ight", + "/ start", + "/st art", + "/star t", + "ĠPerson nel", + "Ġ PREFIX", + "ĠP REFIX", + "ĠPRE FIX", + "ĠPREF IX", + ", **", + ",* *", + "Ġli mite", + "Ġlimit e", + "Ġlim ite", + "_ heat", + "_h eat", + "_he at", + "% ï¼Į", + "ĠD onne", + "ĠDon ne", + "get Node", + "ĠScient ology", + "Ġc omet", + "Ġcom et", + "Ġco met", + "Ġcome t", + "Ġwen ig", + "A side", + "As ide", + "ĠM PEG", + "ĠMP EG", + "' ?", + "vari ably", + ". endDate", + ".end Date", + "Ġun cont", + "Ġunc ont", + "Ġuncon t", + "Ġ Scores", + "ĠS cores", + "ĠSc ores", + "ĠScore s", + "ĠSco res", + "ĠScor es", + "Ġ LoginForm", + "ĠLogin Form", + ". generated", + ".g enerated", + ".generate d", + ".gener ated", + ", ch", + ",c h", + "- mar", + "-m ar", + "ĠN ed", + "ĠNe d", + "Ġ eventId", + "Ġevent Id", + "+ p", + "ĠS IN", + "ĠSI N", + "/ reset", + "/re set", + "/res et", + ".RE ACT", + "ĠMe ssi", + "ĠMess i", + "ĠMes si", + "_R ANK", + "_RA NK", + ".write File", + "Ġc ripp", + "Ġcr ipp", + "Ġcri pp", + "es thetic", + "est hetic", + "ERS IST", + "Ġreim bursement", + "Ġreimburse ment", + "Current Value", + "Ġu nin", + "Ġun in", + "Ġuni n", + "Down Latch", + "Ġpadding Right", + "Ġst ocked", + "Ġstock ed", + "/ '.", + "/' .", + "Ġre payment", + "Ġrep ayment", + "Ġrepay ment", + "t rak", + "tr ak", + "tra k", + "/ backend", + "/back end", + "Ġиз мен", + "C SR", + "CS R", + "Ġprevent ive", + "Ġpant alla", + "_ trim", + "_t rim", + "_tr im", + "_tri m", + "P edido", + "Ped ido", + "h ospital", + "Ġmanage able", + "route Params", + "text ures", + "texture s", + "tex tures", + ". .....ĊĊ", + ".. ....ĊĊ", + "... ...ĊĊ", + ".... ..ĊĊ", + "..... .ĊĊ", + "...... ĊĊ", + "Ġsé lection", + "Name ValuePair", + "Ġpol lut", + "Ġpoll ut", + "M odes", + "Mode s", + "Mod es", + "Mo des", + "ĠL aud", + "ĠLa ud", + "ĠLau d", + "j ay", + "ja y", + "ĠU rs", + "ĠUr s", + "Ġs igner", + "Ġsign er", + "Ġsig ner", + "Ġ JJ", + "ĠJ J", + "ĠCh erokee", + "_EX ISTS", + "_EXIST S", + "Ġd war", + "Ġdw ar", + "Ġ ($('#", + "Ġ( $('#", + "Ġ($ ('#", + "Ġ($( '#", + "Ġre ef", + "> {$", + ">{ $", + "ĠB aylor", + "ĠBay lor", + "Ġ ModelState", + "ĠModel State", + "- _", + "ĠStruct ures", + "ĠStructure s", + "Ġsou vent", + "Spec ify", + "( pipe", + "(p ipe", + "(pi pe", + "Ġfr acking", + "Ġfrac king", + "ĠG PA", + "ĠGP A", + "Ġb ele", + "Ġbe le", + "Ġbel e", + "ĉ ĉĉĉĉĉĉĠĠĠ", + "ĉĉ ĉĉĉĉĉĠĠĠ", + "ĉĉĉĉ ĉĉĉĠĠĠ", + "ĉĉĉ ĉĉĉĉĠĠĠ", + "ĉĉĉĉĉ ĉĉĠĠĠ", + "ĉĉĉĉĉĉ ĉĠĠĠ", + "ĉĉĉĉĉĉĉ ĠĠĠ", + "ĉĉĉĉĉĉĉĠ ĠĠ", + "ĉĉĉĉĉĉĉĠĠ Ġ", + "ĠMinor ity", + "Ġt ud", + "Ġtu d", + "Ġopen ness", + "ĠIllustr ated", + "Ġoxid ation", + "Ġ NK", + "ĠN K", + "ĉ Update", + "Ġ EMS", + "ĠE MS", + "ĠEM S", + "ĠTe ddy", + "ĠTed dy", + "Ġgener als", + "Ġgen erals", + "Ġgeneral s", + "Ġgenera ls", + "ĉ Mat", + "ĉM at", + "Ġrad ios", + "Ġradio s", + "Ġradi os", + "ĠAnt ique", + "ĠAnti que", + "c onomy", + "con omy", + "conom y", + "cono my", + "ĠSquad ron", + ") ','", + ")', '", + ")' ,'", + "å£ °", + "Ġy oure", + "Ġyou re", + "Ġyour e", + "Ġyo ure", + "ĠMain Page", + "Ġbeh aviours", + "Ġbehaviour s", + "en ght", + "eng ht", + "(@\" %@\",", + "Ġtest case", + "Ġ Compilation", + "ĠComp ilation", + "Ġflav ours", + "Ġflavour s", + "Ġ Extend", + "ĠExt end", + "il lator", + "ill ator", + "illa tor", + "Ġ coh", + "Ġc oh", + "Ġco h", + "Ġs pline", + "Ġsp line", + "Ġspl ine", + "Ġ KG", + "ĠK G", + "- pay", + "-p ay", + "Ġcommun ism", + "ĠBusiness es", + "oc king", + "ock ing", + ". MaxLength", + ".Max Length", + "ass andra", + "qu iring", + "quir ing", + "qui ring", + "a dden", + "ad den", + "add en", + "ĠJ eb", + "ĠJe b", + "_ fault", + "_f ault", + "_fa ult", + "[ file", + "[f ile", + "Ġpromin ence", + "disc iplinary", + "âĢĶ they", + "âĢĶthe y", + "_ extent", + "_ex tent", + "_ext ent", + "Ġ VIC", + "ĠV IC", + "ĠVI C", + "Ġen tails", + "Ġent ails", + "Ġentail s", + ". partner", + ".p artner", + ".part ner", + "Ġhipp oc", + "Le ague", + "çĶ ·", + "w ipe", + "wi pe", + "- spinner", + "-sp inner", + "-spin ner", + "Ġsal ute", + "ĠS urgical", + "ĠSurg ical", + "( outputs", + "(out puts", + "(output s", + "work ed", + "wor ked", + "[ strlen", + "[str len", + "app ointed", + "appoint ed", + "ĠH eg", + "ĠHe g", + "ĠAC PI", + "( [^", + "([ ^", + "u ala", + "ual a", + "ua la", + "_ tol", + "_t ol", + "_to l", + "ĠR it", + "ĠRi t", + ". Payment", + ".P ayment", + ".Pay ment", + "k owski", + "Ġw almart", + "Ġwal mart", + "require ments", + "ĠFIN SEQ", + "_ BACKGROUND", + "_BACK GROUND", + "ĠOs borne", + "( errorMessage", + "(error Message", + "Report ing", + "Rep orting", + "Ġa uctions", + "Ġau ctions", + "Ġauction s", + "Ġcom bos", + "Ġcomb os", + "Ġcombo s", + "ĠNot iced", + "ĠNotice d", + "_ oct", + "_o ct", + "_oc t", + "Ġprim ero", + "Ġprime ro", + "Ġprimer o", + "t aire", + "ta ire", + "_ hr", + "_h r", + "Ġм од", + "Ġмо д", + "Ġcontrad ictory", + "Ġcontradict ory", + "= \"@", + "=\" @", + "ach ines", + "achine s", + "achi nes", + "(opt arg", + "ĠP enguin", + "ĠPeng uin", + "ĠAb bas", + "ĠAbb as", + "Ġsub lime", + "Ġpage able", + "ĠDef ensive", + "Ġdistinct ly", + "ĠAutom atically", + "ĠAutomatic ally", + "Under standing", + "Equality Comparer", + "g ota", + "go ta", + "got a", + "Ġ\" ::", + "Ġ\": :", + "Ġpul ver", + "ĠB attles", + "ĠBattle s", + "ĠBatt les", + "Ġun paralleled", + "T CHA", + "TC HA", + "Ġconstr ued", + "- aff", + "-a ff", + "Ġpre cursor", + "Ġprec ursor", + "-l fs", + "Ġmad uras", + "ĠD aisy", + "ĠDa isy", + "ĠDai sy", + "ĠAr beits", + "ĠArbeit s", + ". Management", + ".Man agement", + "ĉ In", + "ĉI n", + "Ġro bes", + "Ġrob es", + "Ġrobe s", + "Ġsp éc", + "âĢľ (", + "Ġm aternity", + "Ġmat ernity", + "ex tent", + "ext ent", + "Ġ Spacer", + "ĠSp acer", + "ĠSpace r", + "ĠSpa cer", + "Did Appear", + "ĉ us", + "ĉu s", + ".getRequest Dispatcher", + "( cols", + "(c ols", + "(co ls", + "(col s", + "Ġplum met", + "ì ħ", + "Ġ{ ĊĊĊĊ", + "Ġ{Ċ ĊĊĊ", + "Ġ{ĊĊ ĊĊ", + "Ġ{ĊĊĊ Ċ", + "é rica", + "ér ica", + "éri ca", + "éric a", + "Ġ Sizes", + "ĠS izes", + "ĠSize s", + "ĠSi zes", + "ĠSiz es", + ". enum", + ".e num", + ".en um", + ". Highlight", + ".High light", + "Ġ!! }ĊĊĊ", + "Ġ? >ĊĊĊ", + "Ġ?> ĊĊĊ", + "Ġ?>Ċ ĊĊ", + "Ġ?>ĊĊ Ċ", + "W enn", + "We nn", + "Ġcl imax", + "Ġclim ax", + "Ġcli max", + "Ġc rem", + "Ġcr em", + "Ġcre m", + "_ that", + "_t hat", + "_th at", + "[ âĢ¦", + "_ domains", + "_domain s", + "_dom ains", + "_RE PLY", + "Ġcomp leta", + "Ġcomple ta", + "Ġcomplet a", + "Ġcompl eta", + "V EST", + "VE ST", + "VES T", + "_ particle", + "_p article", + "_part icle", + "Ġs op", + "Ġso p", + "Ġfatal ities", + "impl ify", + "imp lify", + "ĠS KF", + "ĠSK F", + "Ġin fusion", + "Ġinf usion", + "ĠJ avier", + "ĠJa vier", + "Ġb allet", + "Ġball et", + "Ġbal let", + "Ġam igo", + "Ġami go", + ". want", + ".w ant", + "Ġcol lagen", + "Ġcoll agen", + "Ġcollage n", + "ĠLaw yer", + ". Statement", + ".St atement", + ".State ment", + ".Stat ement", + ". rt", + ".r t", + "b aar", + "ba ar", + "End Point", + "ĠB ek", + "ĠBe k", + "S HIP", + "SH IP", + "Ġpatri arch", + "ĠA unt", + "ĠAu nt", + "_ TM", + "_T M", + "Ġ mÃŃn", + "Ġm ÃŃn", + "ĠmÃŃ n", + "Ġm astered", + "Ġmaster ed", + "Ġma stered", + "Ġmas tered", + "Ġmast ered", + "W XYZ", + "WX YZ", + "Ġes pos", + "Ġesp os", + "= logging", + "=log ging", + "Ġrighteous ness", + "t orrent", + "tor rent", + "Ġ bst", + "Ġb st", + "Ġbs t", + "_ CHAIN", + "_CH AIN", + "Ġout skirts", + "( rotation", + "(r otation", + "(rot ation", + "Ġ' .')", + "Ġ'. ')", + "Ġ'.' )", + "igr ants", + "igrant s", + "+ lsi", + "+l si", + "ĠCC TV", + "ĠCCT V", + "_PH ASE", + ". azure", + ".a zure", + "_ Process", + "_P rocess", + "_Pro cess", + "v ae", + "va e", + "ĠT ropical", + "ĠAn kara", + "ĠAnk ara", + "image View", + "_RUN NING", + "Ġ* )__", + "Ġ*) __", + "ế n", + "( cli", + "(c li", + "(cl i", + "sc atter", + "Ġs che", + "Ġsc he", + "Ġsch e", + "Reg istrar", + "Registr ar", + "Ġa iring", + "Ġair ing", + "Ġai ring", + "Ġpy plot", + "is ión", + "isi ón", + "/ customer", + "/c ustomer", + "/custom er", + "Ġs implement", + "Ġsim plement", + "Ġsimple ment", + "Ġsimp lement", + "Ġsimpl ement", + "Ġclass y", + "Ġcl assy", + "Ġclas sy", + "ĠD WC", + "ĠDW C", + "ĠBas har", + "ĠBash ar", + "ĠDE VELO", + "ĠV ick", + "ĠVi ck", + "ĠVic k", + "a vail", + "av ail", + "ava il", + "ĠH ö", + "_ extend", + "_ext end", + "dr Fc", + ".is NotBlank", + "Ġpl ais", + "Ġpla is", + "| }Ċ", + "Ġporn ofil", + "Ġporno fil", + "l abs", + "la bs", + "lab s", + "Ġ haus", + "Ġh aus", + "Ġha us", + "Ġorig inating", + "Ġorigin ating", + "Ġsurround s", + "Ġ QUAL", + "ĠQ UAL", + "ĠQU AL", + "m eg", + "me g", + "/ logger", + "/log ger", + "/lo gger", + "[ obj", + "[o bj", + "Ġirres ponsible", + "Ġ PublicKey", + "ĠPublic Key", + "H ONE", + "HO NE", + ": '/", + ":' /", + "i box", + "ib ox", + "ibo x", + "ĠF Vector", + "| {Ċ", + "ata loader", + "atal oader", + "h awks", + "hawk s", + "H DR", + "HD R", + "Ġescal ation", + "ĠPods Dummy", + "e lite", + "el ite", + "eli te", + "Ġpre sup", + "Ġpres up", + "C ached", + "Cache d", + "Ca ched", + "> G", + ". optimizer", + ".opt imizer", + ".optim izer", + ".optimize r", + "Ġ Visible", + "ĠV isible", + "ĠVis ible", + "´ Ģ", + "Ġ nen", + "Ġn en", + "Ġne n", + "Ġ pcs", + "Ġp cs", + "Ġpc s", + "Ġ Idle", + "ĠI dle", + "ĠId le", + "[ Any", + "[A ny", + "Ġkey boards", + "Ġkeyboard s", + "ĠCOMP ONENT", + "Ġtit anium", + "Ġtitan ium", + "( mut", + "(m ut", + "(mu t", + "ĠLed ger", + "Ġprosper ous", + "etro fit", + "_ LL", + "_L L", + "_ patient", + "_p atient", + "_pat ient", + "Ġ pdata", + "Ġp data", + "Ġpd ata", + "Ġ kontakte", + "Ġkont akte", + "Ġkontakt e", + "S wipe", + "Sw ipe", + "Ġcheer ful", + "ĠHond uras", + "\" ][$", + "\"] [$", + "\"][ $", + "Ġhem orrh", + "\" :\"+", + "\": \"+", + "\":\" +", + "Ġ leasing", + "Ġle asing", + "Ġinst alls", + "Ġinstall s", + "Ġinstal ls", + "ĠP ax", + "ĠPa x", + "ĠLog istics", + "ĠLogistic s", + "Ġkin etic", + "ĠP hon", + "ĠPh on", + "_ movement", + "_m ovement", + "_move ment", + "_mov ement", + "_mo vement", + "ĉ bytes", + "ĉbyte s", + "Ġcin co", + "ĠMad ness", + "\" )+", + "\") +", + "Ġ JE", + "ĠJ E", + "_ ij", + "_i j", + "Scene Manager", + "ĠB ust", + "ĠBus t", + "ĠBu st", + "p test", + "pt est", + "pte st", + "a ea", + "ae a", + "Ġb esser", + "Ġbes ser", + "ÃŃ g", + "д ин", + "ди н", + "( tasks", + "(t asks", + "(task s", + "(\" (\"", + "(\"( \"", + "set Type", + "( outfile", + "(out file", + "ĉ reset", + "ĉres et", + "ĉre set", + "Ġ ARC", + "ĠA RC", + "ĠAR C", + "Ġmús ica", + "ĠSh elf", + "ĠShe lf", + "ĠShel f", + "Ġmin Y", + "p ch", + "pc h", + "Ġwe iber", + "Ġwei ber", + "iss or", + "Ġtr ouve", + "Ġtro uve", + "Ġtrou ve", + "ĉ Button", + "ĉB utton", + "Ġre generated", + "Ġreg enerated", + "Ġregenerate d", + "Å £i", + "Å£ i", + "im achinery", + "b locking", + "bl ocking", + "block ing", + ".data Tables", + "_ frac", + "_f rac", + "_fr ac", + "ĠAdv antage", + ".visit Method", + "éĩį æĸ°", + "Ġextra pol", + "Ġextr apol", + "Ġte asing", + "Ġtea sing", + "Ġteas ing", + "ĠH itch", + "ĠHit ch", + "ĠGe ek", + "ĠGee k", + "E SCO", + "ES CO", + "ESC O", + "Ġ wich", + "Ġw ich", + "Ġwi ch", + "ĉ ax", + "ĉa x", + "_ decor", + "_de cor", + "_dec or", + "Ġscreen Width", + "ĠSo phia", + "ĠSoph ia", + "F orgot", + "For got", + "Forg ot", + ". uni", + ".un i", + ".u ni", + "ĠVen ture", + "ĠVent ure", + "_ collision", + "_c ollision", + "_coll ision", + "Ġlaw maker", + "( Edit", + "(E dit", + "b lers", + "ble rs", + "bl ers", + "bler s", + "Ġ getNext", + "Ġget Next", + "âĢĶ you", + "Media Player", + "ĠH orde", + "ĠHor de", + "ĠCongress man", + "obs ervations", + "observ ations", + "observation s", + "ĉ property", + "ĉp roperty", + "ĉprop erty", + "Ġ< --", + "Ġ<- -", + "Created At", + "u byte", + "ub yte", + "uby te", + "Ġquar antine", + "Ġdist ressed", + "Ġdistr essed", + "Ġdistress ed", + "_A PB", + "_AP B", + "ĠGood man", + "ãĤ «", + "Ġrecom end", + "_ PRINTF", + "_PRINT F", + "D ONE", + "DO NE", + "DON E", + "Bind able", + "r strip", + "rs trip", + "rst rip", + "cent aje", + "Ġ Unexpected", + "ĠUn expected", + "ĠS CHOOL", + "ĠProfessional s", + "ĠProfession als", + "ĠGPU s", + "ĠGP Us", + "L esson", + "Le sson", + "Les son", + "Less on", + "Ex clusive", + "Ġat rav", + "Ġatr av", + "ĠD ank", + "ĠDan k", + "ĠDa nk", + "ĠLaw yers", + "ĠLawyer s", + "ĠWal ton", + "ĠWalt on", + "> []", + ">[ ]", + "Ġa loud", + "Ġal oud", + "Ġalo ud", + "=\" ../../../", + "=\"../ ../../", + "=\"../../ ../", + "Ġdeb ating", + "ĠA VG", + "ĠAV G", + "_V OL", + "_VO L", + "/ cgi", + "/c gi", + ". deg", + ".d eg", + ".de g", + ": g", + ".Info f", + ".Inf of", + "Measure Spec", + ". song", + ".s ong", + ".so ng", + ".son g", + "m tree", + "mt ree", + "ul ls", + "ull s", + "J ordan", + "ĠC overs", + "ĠCo vers", + "ĠCover s", + "ĠCov ers", + "ĠCove rs", + "Ġattrib utable", + "Ġj edis", + "Ġje dis", + "Ġjed is", + "iat rics", + "iatric s", + "Ġrot terdam", + "Ġ meld", + "Ġm eld", + "Ġme ld", + "Ġmel d", + "Ġ ContentType", + "ĠContent Type", + "Ġman tle", + "Ġmant le", + "Ġ alice", + "Ġa lice", + "Ġal ice", + "Ġali ce", + "_ duplicate", + "_d uplicate", + "_dup licate", + "/ Internal", + "Ġ filesize", + "Ġfile size", + "Ġfiles ize", + "ĉ fire", + "ĉf ire", + "ĉfi re", + "r ese", + "re se", + "res e", + "on dere", + "ond ere", + "onder e", + "onde re", + "Ġfamiliar ity", + "ĠC rest", + "ĠCr est", + "ĠCre st", + "ĠCres t", + "Ġk arma", + "Ġkar ma", + "Ġtor ino", + "Ġm esa", + "Ġme sa", + "Ġmes a", + "/ temp", + "/t emp", + "Ġc hir", + "Ġch ir", + "Ġchi r", + "Ġ Overflow", + "ĠOver flow", + "Ġten emos", + "u nik", + "un ik", + "uni k", + "N EXT", + "NE XT", + "A lle", + "Al le", + "All e", + "Ġn xt", + "Ġnx t", + "M art", + "Mar t", + "Ma rt", + "Ġ atl", + "Ġa tl", + "Ġat l", + "Ġperiod o", + "Ġperi odo", + "_ you", + "_y ou", + "Ġ} )).", + "Ġ}) ).", + "Ġ})) .", + "int estinal", + ".Adapter View", + "Ġhes itant", + "Ġcompar atively", + "Ġcomparative ly", + ". UInt", + ".U Int", + ".UI nt", + "( viewModel", + "(view Model", + "Ġsang at", + "Ġ Responsive", + "ĠRes ponsive", + "ĠRespons ive", + "ĠZ ack", + "ĠZa ck", + "ĠZac k", + "â ħ", + "J AVA", + "JA VA", + "ĠFull er", + "ĠFu ller", + "ĠFul ler", + "Ġ âĿ¤", + "ĠâĿ ¤", + ". Consumer", + ".Con sumer", + ".Cons umer", + "Ġ ank", + "Ġa nk", + "Ġan k", + "Ġre actors", + "Ġreact ors", + "Ġreactor s", + "f uck", + "fu ck", + "_ rat", + "_r at", + "_ra t", + "Ġsession Factory", + "_ backward", + "_back ward", + "Ġscram bled", + "Ġscramble d", + "ĉ th", + "ĉt h", + "Ġins ensitive", + "Ġch amps", + "Ġcha mps", + "Ġcham ps", + "Ġchamp s", + "Ġ nginx", + "Ġng inx", + "Ġcon hec", + "Ġconhe c", + "ĠJ asper", + "ĠJas per", + ". fm", + ".f m", + "Strict Equal", + "ach sen", + "achs en", + "- Nov", + "-N ov", + "-No v", + "l assen", + "lass en", + "las sen", + ". integration", + ".int egration", + "( lbl", + "(l bl", + "Com pose", + "Comp ose", + "ĠF on", + "ĠFo n", + "à ļ", + "Gr atis", + "ĠL ime", + "ĠLim e", + "ĠLi me", + "ĠAdapter View", + "Ġpoison ed", + "Ġpois oned", + "anch ors", + "anchor s", + "设 计", + "'] ?>\"", + "']?> \"", + "Ġpro cur", + "Ġproc ur", + "It aly", + ". MONTH", + ".MON TH", + "ĠL UA", + "ĠLU A", + "ĠLith uania", + "ĠHe ads", + "ĠHead s", + "_CH UNK", + "ĠP USH", + "ĠPU SH", + "ĠPUS H", + "Aspect Ratio", + "Ġ weg", + "Ġw eg", + "Ġwe g", + "Ġv ids", + "Ġvi ds", + "Ġvid s", + "ĠW ein", + "ĠWe in", + "ĠWei n", + "ĉ INT", + "ĉI NT", + "ĉIN T", + "session Id", + "Ind ustry", + "Ġden ounced", + "JK LM", + "ĠVan essa", + ". Identifier", + ".Id entifier", + "p ropri", + "pro pri", + "prop ri", + "Ġ иг", + "Ġи г", + "Ġté cn", + "Ġtéc n", + "Ġm osaic", + "Ġmos aic", + "Stream Reader", + "- Th", + "-T h", + "f orth", + "for th", + "fort h", + "Ġad herence", + "Ġadher ence", + "Ġadhere nce", + "b ate", + "ba te", + "bat e", + "Ġkn ights", + "Ġknight s", + "s ounds", + "so unds", + "sound s", + "sou nds", + "Ġs alle", + "Ġsa lle", + "Ġsal le", + "O MET", + "OM ET", + "OME T", + "ãĤ¹ ãĥĪ", + "- tm", + "-t m", + "ĠR he", + "ĠRh e", + ".File OutputStream", + "åĪĨ ç±»", + "Ġ ENG", + "ĠE NG", + "ĠEN G", + "h oliday", + "hol iday", + "Ġ Congratulations", + "ĠCong ratulations", + ") (Ċ", + ")( Ċ", + "Ġaggregate s", + "Ġaggreg ates", + "H OOK", + "HO OK", + "e wire", + "ew ire", + "Sen ator", + "Ġembed dings", + "Ġembedding s", + "e py", + "ep y", + "( COM", + "(C OM", + "Ġrob ber", + "ä ter", + "ät er", + "w ang", + "wa ng", + "wan g", + "_ teacher", + "_t eacher", + "_te acher", + "Ġresent ment", + "Ġlett uce", + "er reur", + "err eur", + "erre ur", + "( ic", + "(i c", + "ĠT actical", + "ĠTac tical", + "Ġ Contracts", + "ĠCon tracts", + "ĠContract s", + "ĠContr acts", + "Ġm ænd", + "Ġsit ios", + "Ġsiti os", + "Ġsitio s", + "Ġbast ante", + "Ġnue vos", + "Ġnuevo s", + "ĉN drFc", + "Ġprivate Key", + "uc ch", + "ucc h", + "MM dd", + "Ġ è¾ĵåĩº", + "Ġè¾ĵ åĩº", + "um ba", + "umb a", + "@ foreach", + ": \");ĊĊ", + ":\" );ĊĊ", + ":\");Ċ Ċ", + ":\") ;ĊĊ", + "Ġslip pery", + "ĠKey stone", + "ĠKe ystone", + "ĠKeys tone", + "Ġpione ering", + "Ġpioneer ing", + "_ triangle", + "_t riangle", + "_tr iangle", + "_tri angle", + "( \"Ċ", + "(\" Ċ", + "ĉ ĉĉĉĉĉĉĉĠĠ", + "ĉĉ ĉĉĉĉĉĉĠĠ", + "ĉĉĉĉ ĉĉĉĉĠĠ", + "ĉĉĉ ĉĉĉĉĉĠĠ", + "ĉĉĉĉĉ ĉĉĉĠĠ", + "ĉĉĉĉĉĉ ĉĉĠĠ", + "ĉĉĉĉĉĉĉĉ ĠĠ", + "ĉĉĉĉĉĉĉ ĉĠĠ", + "ĉĉĉĉĉĉĉĉĠ Ġ", + "ĠInt ervention", + "ĠInter vention", + "S CI", + "SC I", + "Ġc JSON", + "Ġter minating", + "Ġterm inating", + "Ġtermin ating", + "ë ¹Ħ", + "ë¹ Ħ", + "Ġbaby s", + "Ġbab ys", + "Sub set", + "Ġ ë¡", + "Ġë ¡", + "Ġseu lement", + "Ġseul ement", + "Ġseule ment", + "Ġm uestra", + "Ġmue stra", + "En tre", + "Ent re", + "Entr e", + "以 ä¸Ĭ", + "n go", + "ng o", + "\" bytes", + "QR ST", + "QRS T", + "Ġy pos", + "Ġyp os", + "person a", + "pers ona", + "Ġ Deploy", + "ĠDe ploy", + "ĠDep loy", + "c ee", + "ce e", + "Ġ à®", + "Ġà ®", + ". goal", + ".go al", + "Ġhabit ats", + "Ġhabitat s", + "Ġ isAdmin", + "Ġis Admin", + "Ġexplo iting", + "Ġexploit ing", + "Ġvent il", + "Ġven til", + "ĠB alls", + "ĠBall s", + "ĠBal ls", + "ا ب", + "Ø§Ø ¨", + "Ġmind fulness", + "Ġmindful ness", + "( kwargs", + "(k wargs", + "Ġre sembling", + "Ġresembl ing", + "Ġch oir", + "Ġcho ir", + "Ġon BackPressed", + "ĠSEC URITY", + "/ gtest", + "/g test", + "Ġjust ices", + "Ġjustice s", + "Ġinteger Value", + "b lah", + "bl ah", + "bla h", + "ĠA im", + "ĠAi m", + "_ finalize", + "_final ize", + "k eh", + "ke h", + "ĠComplex ity", + "Ġaug ust", + "get ElementsByTagName", + "Ġp reach", + "Ġpr each", + "Ġpre ach", + "Ġpron unciation", + "Ġ Trash", + "ĠTr ash", + "ĠTra sh", + "- percent", + "-per cent", + "_PR IV", + "_PRI V", + "ĠH unts", + "ĠHun ts", + "ĠHu nts", + "ĠHunt s", + "ĠC urse", + "ĠCur se", + "u ellen", + "ue llen", + "uel len", + "uelle n", + "uell en", + "Ġheavy weight", + "X i", + "ĉ selected", + "ĉselect ed", + "ĉse lected", + "ĠMcC oy", + "å¼Ĥ 常", + "| =Ċ", + "|= Ċ", + "ĠBattle field", + "Item Image", + "Ġded uctions", + "Ġdeduct ions", + "Ġdeduction s", + "ĠElement al", + "ĠEle mental", + "ĠElem ental", + "( ));//", + "() );//", + "()) ;//", + "()); //", + "ĠBur k", + "ĠBu rk", + "} )čĊčĊ", + "}) čĊčĊ", + "})čĊ čĊ", + "sw ift", + "/ function", + "/f unction", + "Us ually", + "Usu ally", + "_ St", + "_S t", + "_fe ats", + "_feat s", + "Ġ IsValid", + "ĠIs Valid", + "Ġz ad", + "Ġza d", + "Image Context", + "Ġ classname", + "Ġclass name", + "Ġdon ner", + "Ġdonne r", + "Ġdonn er", + "Ġ-- >ĊĊĊ", + "Ġ-->Ċ ĊĊ", + "Ġ--> ĊĊĊ", + "Ġ-->ĊĊ Ċ", + "Ġmotor cycles", + "Ġmotorcycle s", + "+' /'+", + "+'/ '+", + "Ġ setBackground", + "Ġset Background", + "\\ CMS", + "\\C MS", + ". AllArgsConstructor", + ".All ArgsConstructor", + "ĠLex ington", + ". examples", + ".ex amples", + ".example s", + ".exam ples", + "ĠP urs", + "ĠPur s", + "ĠPu rs", + "Push Matrix", + "Ġ================================================= =============", + ".add Target", + "p ora", + "por a", + "po ra", + "Full screen", + "Ġgo of", + "Ġgoo f", + "h len", + "hl en", + "hle n", + "ä ge", + "ĠC URL", + "ĠCUR L", + "ĠCU RL", + "Ġ Interesting", + "ĠInter esting", + "ĠInterest ing", + "Ġretrie ves", + "Ġretrieve s", + "Ġretr ieves", + "_ Obj", + "_O bj", + "in ness", + "inn ess", + "inne ss", + "- ----ĊĊ", + "-- ---ĊĊ", + "---- -ĊĊ", + "--- --ĊĊ", + "----- ĊĊ", + "-----Ċ Ċ", + ".t sv", + ".ts v", + "( IM", + "(I M", + "ĠBr aves", + "ĠBra ves", + "ĠBrave s", + "_ ISR", + "_I SR", + "_IS R", + "o sti", + "os ti", + "ost i", + "á» ĵ", + "ĠEx terior", + "ĠExt erior", + "ĠCourt ney", + "Ġresid ues", + "Ġresidue s", + "T ier", + "Ti er", + ".* ;čĊčĊ", + ".*;čĊ čĊ", + ": black", + ":b lack", + "web View", + "\" path", + "Ġm asa", + "Ġma sa", + "Ġmas a", + "] !='", + "]!= '", + "Ġ Matching", + "ĠM atching", + "ĠMat ching", + "ĠMatch ing", + "d ur", + "du r", + "J vm", + "= context", + "_ RING", + "_R ING", + "Ġpro ponents", + "Ġprop onents", + "ĠQString Literal", + "Ġ inflate", + "Ġin flate", + "Ġinf late", + "Ġinfl ate", + "< Float", + " \">čĊ", + "Ġ?>\" >čĊ", + "Ġ?>\"> čĊ", + "_C OST", + "_CO ST", + "i linear", + "il inear", + "ili near", + "iline ar", + "ilin ear", + "Ġ Workspace", + "ĠWork space", + "ĠWorks pace", + "Ġs pel", + "Ġsp el", + "Ġspe l", + "ag ogue", + "ago gue", + "agog ue", + "ĠMillenn ium", + "ĠPop ulate", + "Ġ nid", + "Ġn id", + "Ġni d", + ".parse Color", + "S olar", + "So lar", + "Sol ar", + "ĠG ad", + "ĠGa d", + "Ġ ì¤ij", + "Ġì ¤ij", + "Ġì¤ ij", + "ĠK amp", + "ĠKa mp", + "ĠKam p", + "ĉ rm", + "ĉr m", + "Ġb enz", + "Ġbe nz", + "Ġben z", + "Ġ Honestly", + "ĠH onestly", + "ĠHonest ly", + "Ġelectro de", + "Ġelectr ode", + "ĠPr airie", + "ĠPra irie", + "Ġ PROFILE", + "ĠPRO FILE", + "ĠPROF ILE", + "ĠOri ental", + "ĠOrient al", + "ĠO LED", + "ĠOL ED", + "/cop yleft", + "awa ii", + "awai i", + "( products", + "(product s", + ") \\<", + ")\\ <", + "- created", + "-c reated", + "-create d", + "-cr eated", + ".Many ToMany", + "\" How", + "\"H ow", + "Ġв Ñĭп", + "ĠвÑĭ п", + "Ġmitochond rial", + "_ testing", + "_t esting", + "_test ing", + "( created", + "(c reated", + "(create d", + "(cr eated", + "Ġ getField", + "Ġget Field", + "_E VAL", + "_EV AL", + "] .\"", + "]. \"", + "ĠF SM", + "ĠFS M", + "ĠR ita", + "ĠRi ta", + "ĠRit a", + "Ġ åıĤæķ°", + "Ġåı Ĥæķ°", + "ĠåıĤ æķ°", + "Ġc ôt", + "Ġcô t", + "ĠIns ight", + "ĉ mysqli", + "ĉm ysqli", + "ĉmysql i", + "_ timing", + "_t iming", + "_tim ing", + "_ti ming", + "I DO", + "ID O", + ") ))))Ċ", + ")) )))Ċ", + "))) ))Ċ", + ")))) )Ċ", + "CO VERY", + "COVER Y", + ". imag", + ".i mag", + ".im ag", + "C DF", + "CD F", + "l ust", + "lu st", + "lus t", + "i ckt", + "ic kt", + "ick t", + "_ FP", + "_F P", + ". ','", + ".' ,'", + ".', '", + "g cc", + "gc c", + "Ġkur z", + "Ġku rz", + "_p wm", + "_pw m", + "Ġodp owied", + "Ġ Barrier", + "ĠBar rier", + "ĠBarr ier", + "/************************************************************************ ***Ċ", + "p ak", + "pa k", + "- Israel", + "ĠRut gers", + "Ġselected Item", + "ĠRam irez", + "F arm", + "Far m", + "Fa rm", + "Ġcal endars", + "Ġcalendar s", + "Ġcalend ars", + "g zip", + "gz ip", + "Ġblock buster", + "ĠPly mouth", + "çľ Į", + "res ponses", + "response s", + "respons es", + ".Dialog Interface", + "- grand", + "-g rand", + "-gr and", + "Ġ getSource", + "Ġget Source", + "ĠgetS ource", + "Ġdej tings", + "Ġdejting s", + "Ġt ieten", + "Ġti eten", + "Ġtie ten", + "Ġcondem nation", + "Ġcondemn ation", + "Ġcontin uar", + "Ġcontinu ar", + "Ġcontinua r", + ".Mock Mvc", + "/ english", + "Ġ MediaPlayer", + "ĠMedia Player", + "com puted", + "comp uted", + "compute d", + "comput ed", + "ĠCl ippers", + "ĠClip pers", + "ĠCli ppers", + "( delegate", + "(de legate", + ". Slf", + ".S lf", + "Ġ ë¡ľ", + "Ġë¡ ľ", + "ĠT ide", + "ĠTi de", + "Ġih rem", + "Ġihr em", + "Ġihre m", + "ĠW an", + "ĠWa n", + "Ñĥ ÑİÑī", + "ÑĥÑİ Ñī", + "} ><", + "}> <", + "Disc ussion", + "Discuss ion", + "Ġw atts", + "Ġwat ts", + "Ġwatt s", + "- minus", + "-m inus", + "-min us", + "ĠJul iet", + "ĠJulie t", + "ĠJuli et", + "éĽ ħ", + "Ġcon cluding", + "Ġconcl uding", + "and scape", + "ands cape", + "Ġúlt ima", + "ĠD ERP", + "ĠDE RP", + "ĠDER P", + "Ġsign Up", + "ĠSecond ly", + "W AIT", + "WA IT", + "l ds", + "ld s", + ". callbacks", + ".call backs", + ".callback s", + "( hour", + "(h our", + "im ators", + "ima tors", + "imator s", + "imat ors", + "vol ent", + "A AF", + "AA F", + "e driver", + "ed river", + "ĠMath ematic", + "< Tuple", + "'", + "Ġ/> '", + "{ j", + "_AB ORT", + "E ther", + "Et her", + "Eth er", + "Ġeduc ator", + "Ġpreca ution", + "Ġfinger tips", + "Ġfingert ips", + "get Var", + "cam atan", + "- debug", + "-de bug", + "ĠR AF", + "ĠRA F", + "[ arg", + "[a rg", + "Ġr aced", + "Ġrace d", + "Ġrac ed", + "Ġra ced", + "Ġts unami", + ".f link", + ".fl ink", + "Ġgl yc", + "Ġgly c", + "u ko", + "uk o", + "Ġ Multiply", + "ĠM ultiply", + "ĠMulti ply", + "ĠMultip ly", + "Ġre distribution", + "Ġred istribution", + "Ġredistrib ution", + "Ġredis tribution", + "A GO", + "AG O", + "Ġ Routine", + "ĠR outine", + "ĠRout ine", + "Ġ opr", + "Ġo pr", + "Ġop r", + "( lower", + "(l ower", + "(low er", + "(lo wer", + "ĠFun ktion", + "ĠFunk tion", + ". dk", + ".d k", + "Ġ egt", + "Ġe gt", + "Ġeg t", + "_B ASIC", + "sys call", + "ĠL SD", + "ĠLS D", + "Ġ Duplicate", + "ĠD uplicate", + "ĠDup licate", + "_ sell", + "_s ell", + "_se ll", + "_sel l", + "Ġerror Handler", + "_ ips", + "_i ps", + "_ip s", + "Ġ erv", + "Ġe rv", + "Ġer v", + "an nie", + "ann ie", + "anni e", + "(resource Name", + "Ġbott led", + "Ġbottle d", + "Ġcraw ling", + "Ġcrawl ing", + "e gment", + "eg ment", + ".set Tag", + "Ġ rss", + "Ġr ss", + "Ġrs s", + "ĠQu arry", + "ĠQuar ry", + "_ exact", + "_ex act", + ". jwt", + ".j wt", + "ĠBo ards", + "ĠBoard s", + "o pi", + "op i", + "Ġn asal", + "Ġna sal", + "Ġnas al", + "Ġ XYZ", + "ĠX YZ", + "ĠXY Z", + ". ud", + ".u d", + "North ern", + "Nor thern", + "Ġact ivating", + "Ġactiv ating", + "e dx", + "ed x", + "ov ah", + "ova h", + "Ġ indx", + "Ġin dx", + "Ġi ndx", + "Ġind x", + "Alert Dialog", + "Ġt ienes", + "Ġti enes", + "Ġtie nes", + "Ġtiene s", + "an nya", + "ann ya", + "anny a", + "_ pan", + "_p an", + "_pa n", + "( decimal", + "(d ecimal", + "(de cimal", + "(dec imal", + ". Dict", + ".D ict", + ".Di ct", + "Ġsubsidi aries", + "Product Name", + "F ew", + "Fe w", + "d ato", + "da to", + "dat o", + "od ied", + "odi ed", + "odie d", + "- under", + "-un der", + "-u nder", + "Ġ ê²ĥ", + "Ġê² ĥ", + "çīĪ æľ¬", + "at ism", + "atis m", + "ati sm", + "[ Math", + "[M ath", + ". '<", + ".' <", + "( infile", + "(in file", + "Ġde notes", + "Ġden otes", + "Ġdenote s", + "$ class", + "$c lass", + "_SEC URITY", + "Ġsew age", + "m elon", + "me lon", + "mel on", + "( Character", + "(Char acter", + "/ github", + "/g ithub", + "/git hub", + "Ġgl aring", + ". Guid", + ".G uid", + "_ sparse", + "_s parse", + "_sp arse", + "Ġ Margin", + "ĠM argin", + "ĠMar gin", + "ĠMarg in", + "_ dns", + "_d ns", + "_dn s", + "Ġme iner", + "Ġmein er", + "Ġmeine r", + "Ġleft ist", + "ĉ loc", + "ĉl oc", + "a bytes", + "aby tes", + "abyte s", + "Ġequipment s", + "Ġequip ments", + "ex po", + "exp o", + "ĠSom erset", + "E K", + "æį ¢", + "Ġlect urer", + "Ġlecture r", + "Ġmem iliki", + "æł ¸", + "ç´ ł", + "p ron", + "pr on", + "pro n", + ": pointer", + "b orrow", + "bor row", + "ĠProt ective", + "ĠProtect ive", + "_ cf", + "_c f", + "Ġ ÐķÑģли", + "ĠÐķ Ñģли", + "b pp", + "bp p", + "' ;ĊĊĊĊ", + "';Ċ ĊĊĊ", + "';ĊĊ ĊĊ", + "'; ĊĊĊĊ", + "';ĊĊĊ Ċ", + "at urally", + "atur ally", + "atural ly", + "_ NAV", + "_N AV", + "Ġpe ptide", + "> d", + "Ġ ifstream", + "Ġif stream", + "Ġi fstream", + "_FACT ORY", + "_FACTOR Y", + "' );//", + "') ;//", + "'); //", + "j oined", + "join ed", + "jo ined", + "m ong", + "mon g", + "mo ng", + "Ġtime spec", + "Ġtimes pec", + "Ġdest abil", + "Ġdesta bil", + "Ġ autop", + "Ġaut op", + "Ġauto p", + "Ġau top", + "- limit", + "-l imit", + "-li mit", + "public ation", + "pub lication", + "ĠD enn", + "ĠDe nn", + "ĠDen n", + ". Memory", + ".M emory", + "( skb", + "(s kb", + "(sk b", + "ĠAna heim", + "_RETURN TRANSFER", + "o ueur", + "ou eur", + "( _('", + "(_ ('", + "l egt", + "le gt", + "leg t", + "ist ingu", + "isting u", + "ĉ priv", + "ĉp riv", + "ĉpr iv", + "Ġredirect s", + "M t", + "Ġal leen", + "Ġall een", + "Ġalle en", + "Ġ PointF", + "ĠPoint F", + "Ġ omin", + "Ġo min", + "Ġom in", + "Ġc itt", + "Ġcit t", + "Ġci tt", + "ĠT age", + "ĠTag e", + "ĠTa ge", + "ĠW alls", + "ĠWall s", + "ĠWal ls", + "á» ī", + "Ġoccup ying", + "Ġoccupy ing", + "x BF", + "xB F", + "r angle", + "ra ngle", + "ran gle", + "rang le", + "Ġrel ational", + "Ġrelation al", + "Ġrelat ional", + "- org", + "-o rg", + "-or g", + "Ġ jpg", + "Ġj pg", + "Ġjp g", + "- derived", + "Ġmal function", + "ĠB enson", + "ĠBen son", + "( scroll", + "(s croll", + "(sc roll", + "Ġ XD", + "ĠX D", + "H oly", + "Ho ly", + "Hol y", + "( commands", + "(command s", + "(comm ands", + "Ġt ipping", + "Ġti pping", + "Ġtip ping", + "Ġpr imitives", + "Ġprim itives", + "Ġprimitive s", + "Ġsex le", + "Call Check", + "Ġ MASTER", + "ĠM ASTER", + "ĠMA STER", + "ĠMAS TER", + "_ TEAM", + "_TE AM", + ".setRequest Header", + "_ specs", + "_sp ecs", + "_spec s", + "Ġs erge", + "Ġser ge", + "Ġserg e", + ". Master", + ".M aster", + ".Ma ster", + "Ġ ims", + "Ġi ms", + "Ġim s", + ".Spring BootTest", + "pay pal", + "ĠW ANT", + "ĠWA NT", + "ĠWAN T", + ". Inst", + ".I nst", + ".In st", + "ĠCar pet", + "ĠCarp et", + "Ġwrong ly", + "( $('.", + "($ ('.", + "($( '.", + "($(' .", + "Ġ bild", + "Ġb ild", + "Ġbi ld", + "Ġbil d", + ". Roll", + ".R oll", + "ĠU rb", + "ĠUr b", + "- can", + "-c an", + "-ca n", + "ãģı ãģłãģķãģĦ", + "ãģıãģł ãģķãģĦ", + "olib eral", + " čĊčĊ", + "Ġ-->čĊ čĊ", + "ĠMa hm", + "ĠMah m", + "} \";ĊĊ", + "}\" ;ĊĊ", + "}\";Ċ Ċ", + "Ġ dq", + "Ġd q", + "ĠPublish ers", + "ĠPublisher s", + "ĠA mpl", + "ĠAm pl", + "ĠAmp l", + "ĠDaniel le", + "ĠDani elle", + "Ġ tern", + "Ġt ern", + "Ġte rn", + "Ġter n", + "èµ ·", + "no ÅĽÄĩ", + "e in", + "ei n", + "ĠAsync Storage", + "u nger", + "un ger", + "ung er", + "unge r", + "ro uw", + "rou w", + "Ġsc issors", + "/ assert", + "/as sert", + ". bucket", + ".b ucket", + "/ archive", + "/a rchive", + "/arch ive", + "_ Man", + "_M an", + "Ġint oler", + "Ġinto ler", + "Ġ ()=>", + "Ġ( )=>", + "Ġ() =>", + "Ġ ÐĴÑĭ", + "ĠÐĴ Ñĭ", + "Ġs ai", + "Ġsa i", + ". xy", + ".x y", + ". \"čĊ", + ".\" čĊ", + "Ġur inary", + "e sub", + "es ub", + "IST ICS", + "ISTIC S", + "Ġ κ", + "ĠÎ º", + "Ġcompl iments", + "Ġcompliment s", + "Ġtypings Japgolly", + "i har", + "ih ar", + "Exp ansion", + "ĠS erving", + "ĠSer ving", + "ĠServ ing", + "_ students", + "_st udents", + "_student s", + "ĠX BOOLE", + "( il", + "(i l", + "Ġ ì²ĺ", + "Ġì² ĺ", + "Ġj ó", + "( tol", + "(t ol", + "(to l", + "( JS", + "(J S", + "ĉ CG", + "ĉC G", + "Ġ DRAW", + "ĠD RAW", + "ĠDR AW", + "t wig", + "tw ig", + "Ġo at", + "Ġoa t", + "_ smooth", + "_sm ooth", + "ĠC SL", + "ĠCS L", + "Ġo sob", + "Ġos ob", + "Ġens uing", + "Ġb anker", + "Ġbank er", + "Ġban ker", + "ĠBack pack", + "_ ping", + "_p ing", + "_pin g", + "_pi ng", + "Ġ wishlist", + "Ġw ishlist", + "Ġwish list", + "= ax", + "=a x", + "ĉ ĠĠĠĊ", + "ĉĠĠĠ Ċ", + "ĉĠ ĠĠĊ", + "ĉĠĠ ĠĊ", + "Dis ney", + "ste ady", + "stead y", + "\" >%", + "\"> %", + "Ġproph ets", + "Ġprophet s", + "Ġ ZX", + "ĠZ X", + "Ġminimal ist", + "Ġminim alist", + ". PLAIN", + ".PL AIN", + "Se attle", + "Seat tle", + ". ordinal", + "Ġ PIPE", + "ĠPI PE", + "Ġret orna", + "Ġretorn a", + "Ġj ugador", + "Ġjug ador", + "ĠB ret", + "ĠBr et", + "ĠBre t", + "ĠâĶ ľ", + "Ġp lush", + "Ġpl ush", + "Ġplus h", + "Ġplu sh", + "UL ATOR", + "ULA TOR", + "S orting", + "Sort ing", + ".grid y", + ".gr idy", + "ect omy", + "_ activ", + "_ac tiv", + "_act iv", + "r ack", + "ra ck", + "rac k", + "Inter active", + "ĠAntar ctica", + "ĠAntarctic a", + "Ġv engeance", + "en so", + "ens o", + "_ known", + "_k nown", + "up plier", + "upp lier", + ". Modules", + ".Mod ules", + ".Module s", + "ĠConnection State", + "éļ IJèĹı", + "éļIJ èĹı", + "@ FindBy", + "Ġ placer", + "Ġpl acer", + "Ġplace r", + "Ġplac er", + "Ġpla cer", + "\\ model", + "< ()>", + "<( )>", + ".is Successful", + ".isSuccess ful", + "- good", + "-g ood", + "-go od", + "b z", + "ĠDr aco", + "ĠDra co", + "Ass istant", + "- extra", + "-ex tra", + "-ext ra", + "аб лиÑĨ", + "Ġhyp ocrisy", + "Ġt st", + "Ġts t", + "ĠA gr", + "ĠAg r", + "$ txt", + "$t xt", + "Ġlog istic", + "l icensed", + "lic ensed", + "license d", + "ĠH of", + "ĠHo f", + "Ġ tat", + "Ġt at", + "Ġta t", + "( iv", + "(i v", + "Ġint oxic", + "Ġinto xic", + "Ġintox ic", + "post Id", + "_ strike", + "_st rike", + "_str ike", + "Ġhum iliation", + "Ġhumili ation", + "p codes", + "pc odes", + "\" sync", + "\"s ync", + "( recipe", + "(rec ipe", + "+ N", + "r ente", + "re nte", + "ren te", + "rent e", + "ĉ Client", + "ĉC lient", + "ycop g", + "ĠZur ich", + "ĠZu rich", + "Ġ Profiles", + "ĠPro files", + "ĠProf iles", + "ĠProfile s", + "C ountries", + "Count ries", + "Ġp ict", + "Ġpi ct", + "Ġpic t", + "Ġroll out", + "requ encies", + "Ġp atched", + "Ġpat ched", + "Ġpatch ed", + "Ġcar tridges", + "Ġcartridge s", + "Ġsh ading", + "Ġsha ding", + "J ar", + "Ja r", + "Ġsalv age", + "ĠT axes", + "ĠTax es", + "ĠTa xes", + "Ġstand by", + "ap oran", + "apor an", + "apo ran", + "E igen", + ". angular", + "Ġ Nested", + "ĠN ested", + "ĠNe sted", + "ĠNest ed", + "ĠNes ted", + "ä º«", + "äº «", + "Ġ isVisible", + "Ġis Visible", + "ĠDw ight", + "_BR ANCH", + ". Delay", + ".D elay", + ".De lay", + "Ġk end", + "Ġke nd", + "Ġken d", + "Ġfacilit ated", + "Ġfacilitate d", + "Ġfacil itated", + ". flatMap", + ".flat Map", + "Ġs anta", + "Ġsan ta", + "Ġsant a", + "ĉ Send", + "ĉS end", + "/ messages", + "/m essages", + "/message s", + "Ġof Type", + "ĉ swap", + "ĉs wap", + "ĉsw ap", + "# plt", + "ĠTur ks", + "ĠTurk s", + "N ES", + "NE S", + "Ġprogress ively", + "Ġprogressive ly", + "ĠRes idence", + "Ġ TREE", + "ĠT REE", + "ĠTR EE", + "ĠTRE E", + "Ġn oen", + "Ġno en", + "Ġnoe n", + "d io", + "di o", + "Ġ nelle", + "Ġn elle", + "Ġne lle", + "Ġnel le", + "Ġnell e", + "Ġso gar", + "Ġsog ar", + "i tti", + "it ti", + "itt i", + "week ly", + "Ġambigu ity", + "_ Settings", + "_S ettings", + "_Set tings", + "W are", + "War e", + "Wa re", + ". neo", + ".n eo", + ".ne o", + "_ DST", + "_D ST", + "_DS T", + "Ġ æĸ¹", + "Ġæĸ ¹", + "p rep", + "pr ep", + "pre p", + "l obby", + "lob by", + "@ email", + "/ movie", + "/m ovie", + "Ġfun kc", + "Ġfunk c", + "Ġ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĊ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ", + "ÂŃ s", + "Ġguard ians", + "Ġguardian s", + "- pos", + "-p os", + "-po s", + "Ġconfig uring", + "Ġconfigur ing", + "ĠC PS", + "ĠCP S", + "ĠD eus", + "ĠDe us", + "Ġvidé os", + "Ġvidéo s", + "_ empresa", + "_emp resa", + "Ġsl apped", + "Ġsla pped", + "Ġslap ped", + "< Model", + "',Ċ", + "\"> ',Ċ", + "\">' ,Ċ", + "\">', Ċ", + "_X DECREF", + "ĠBuzz Feed", + "_M ARGIN", + "P LOY", + ". small", + ".s mall", + ".sm all", + "Ġm imeType", + "Ġmime Type", + "Ġh olog", + "Ġho log", + "Ġhol og", + "ĉ camera", + "ĉc amera", + "l ias", + "li as", + "lia s", + "Ġsusp ense", + "od ynam", + "ody nam", + "odyn am", + "b au", + "ba u", + "Ġgrave yard", + "_ named", + "_n amed", + "_name d", + "_na med", + "\": \"'", + "\":\" '", + "Ġ ************************************************", + "Ġ******************************** ****************", + "Ġ******** ****************************************", + "Ġ**************** ********************************", + "Ġ************************ ************************", + "Ġ**************************************** ********", + "Ġgame Over", + "Ġ LENGTH", + "ĠLE NGTH", + "ĠLENG TH", + "ĉ screen", + "ĉs creen", + "ĉsc reen", + "Ġdo InBackground", + "_ dependencies", + "_depend encies", + "_dep endencies", + "Ġ rtc", + "Ġr tc", + "Ġrt c", + "/ up", + "/u p", + "_ ROM", + "_R OM", + "_RO M", + "H all", + "Ha ll", + "Hal l", + "Ġdef iciencies", + "( te", + "(t e", + "' #", + "_ equiv", + "_e quiv", + "_equ iv", + "Ġpre order", + "ĠA xe", + "ĠAx e", + "о мÑĥ", + "ом Ñĥ", + ".send File", + "Ġ filt", + "Ġf ilt", + "Ġfil t", + "Ġfi lt", + "Ġ Limits", + "ĠL imits", + "ĠLim its", + "ĠLi mits", + "ĠLimit s", + "ĠCaval iers", + ". discount", + ".dis count", + ".disc ount", + "âĨ IJ", + "ĠW it", + "ĠWi t", + "QRST UV", + "Ġ ij", + "Ġi j", + "Ġt egen", + "Ġte gen", + "Ġteg en", + "Ġ :\",", + "Ġ: \",", + "Ġ:\" ,", + "diff iculty", + "p unkt", + "pun kt", + "punk t", + "ĠEm ails", + "ĠEmail s", + "ch lor", + "chl or", + "( fun", + "(f un", + ". Uint", + ".U int", + ".Ui nt", + "ĠSt all", + "ĠSta ll", + "_ verified", + "_ver ified", + "u D", + "File Type", + "Ġple asures", + "Ġpleasure s", + "Ġpleas ures", + "Ġjud iciary", + "Ġs ham", + "Ġsh am", + "Ġsha m", + "i pur", + "ip ur", + "_ PLUS", + "_PL US", + "of fers", + "off ers", + "offer s", + "( foo", + "(f oo", + "_ GT", + "_G T", + "ĉ core", + "ĉc ore", + "EN TION", + "ENT ION", + "ĠLib eration", + "ĠLiber ation", + "Command Line", + "_ department", + "_de partment", + "_dep artment", + "_depart ment", + ". Ar", + ".A r", + "_ neighbor", + "_ne ighbor", + "Ġ Submitted", + "ĠSub mitted", + "ĠSubmit ted", + "Ġ Ċ", + "\"> -->Ċ", + "Ġdro its", + "Ġdroit s", + "Ġhomosexual s", + "Ġab duction", + "ĉ widget", + "ĉw idget", + "$ headers", + "$header s", + "ĠD AR", + "ĠDA R", + "Ġf la", + "Ġfl a", + "th reat", + "thr eat", + "Ġl ouis", + "Ġlo uis", + "Ġlou is", + ". GetProperty", + ".Get Property", + "\" Just", + "( frames", + "(f rames", + "(frame s", + "(fr ames", + "r yo", + "ry o", + "prof ession", + "| i", + "íķ´ ìĦľ", + "( sv", + "(s v", + "Ġun recognized", + "I onic", + "Io nic", + "Ion ic", + "F ashion", + "Screen State", + "Ġ Incoming", + "ĠIn coming", + "ĠInc oming", + "Not Nil", + "Ġsyn cing", + "Ġsync ing", + "e mie", + "em ie", + "emi e", + "Ġth ermo", + "Ġther mo", + "Ġtherm o", + "_ procs", + "_pro cs", + "_pr ocs", + "_proc s", + "Ġincons istency", + "Ġinconsist ency", + "rel igious", + ". mj", + ".m j", + "Ġperson n", + "Ġpers onn", + "Ġperso nn", + "Ġmoment os", + "Ġmomento s", + "or arily", + "Ġ æĬ", + "Ġæ Ĭ", + "_ne urons", + "Ill ustr", + "im oto", + "imo to", + "i lik", + "il ik", + "ili k", + "ĠW oj", + "ĠWo j", + "Tr ading", + "Trad ing", + "Tra ding", + "Ġapp are", + "Ġap pare", + "Ġappar e", + "Ġentre prises", + "Ġentreprise s", + "a chat", + "ac hat", + "ach at", + "acha t", + "Ġ ¬", + "Ġ ¬", + "Ġne igh", + "Ġnei gh", + "BUTTON DOWN", + "ĠMa her", + "ĠMah er", + "a ghan", + "ag han", + "agh an", + "- hash", + "-h ash", + "-has h", + "\" f", + "Ġclient ele", + "Ġcliente le", + ".add Button", + "ĉ SP", + "ĉS P", + "Q i", + "Ġg rated", + "Ġgr ated", + "Ġgrat ed", + "Ġgra ted", + "Ġgrate d", + "PO SITE", + "POS ITE", + "POSIT E", + ": >", + "ĠH owell", + "ĠHow ell", + "ĠHo well", + "ĠHowe ll", + "ĠCompar ative", + "Ġ ISC", + "ĠI SC", + "ĠIS C", + "ÂŃ i", + "O cean", + "D avis", + "Da vis", + "ĠFil me", + "ĠFilm e", + "W ins", + "Win s", + "Wi ns", + "ĠJ IT", + "oc cer", + "occ er", + "ĠC orm", + "ĠCo rm", + "ĠCor m", + "ENCH MARK", + "rc hive", + "rch ive", + "i cação", + "ic ação", + "ica ção", + "Ġm ata", + "Ġmat a", + "Ġma ta", + "Ġchild birth", + "ĠOption ally", + "ĠOptional ly", + "E ns", + "En s", + "Ġx http", + "Ġel ucid", + "_Osc InitStruct", + ") )):Ċ", + ")) ):Ċ", + "))) :Ċ", + "Ġint uit", + "Ġ Donate", + "ĠDon ate", + "Ġcorre lates", + "Ġcorrel ates", + "Ġcorrelate s", + "> Delete", + "Ġe quipe", + "Ġequ ipe", + "Ġequip e", + "Ġb oca", + "Ġbo ca", + "Ġinf latable", + "Ġinfl atable", + "e rah", + "er ah", + "era h", + "ĠDateTime Kind", + "Ġcal ves", + "\\ Lib", + "\\L ib", + "Ġem lrt", + "ĠTr ilogy", + "ĠTri logy", + "ĠP anc", + "ĠPan c", + "ĠPa nc", + "ĠD uis", + "ĠDu is", + "ĠpelÃŃcul a", + "W ARDS", + "WARD S", + "WAR DS", + "_DE TECT", + "_DET ECT", + "-section al", + "d hcp", + "dh cp", + "For Row", + "- destruct", + "-d estruct", + "-de struct", + "Ġ Presenter", + "ĠP resenter", + "ĠPres enter", + "ĠPresent er", + "/ slick", + "/s lick", + "/sl ick", + ", on", + ",o n", + "ĠCit adel", + "logged in", + "logg edin", + "_ subtype", + "_sub type", + "Ġs igue", + "Ġsi gue", + "Ġsig ue", + "Ġsigu e", + "Ġc uring", + "Ġcur ing", + "Ġcu ring", + "ĠFire wall", + "Ġfluores cence", + "ĠItalian s", + "ĠItalia ns", + "ĠItal ians", + "иÑĤ ÑģÑı", + ". getStyle", + ".get Style", + "In Seconds", + "j ie", + "ji e", + "- Smith", + "-S mith", + "Ġx link", + "Ġxl ink", + "Ġsub missive", + "о нÑĤ", + "он ÑĤ", + "arbon ate", + "ĠF aul", + "ĠFa ul", + "_ goals", + "_go als", + "_goal s", + "ĠCommission ers", + "ĠCommissioner s", + "chart Instance", + "_POST FIELDS", + "Ġmed ial", + "Ġmedia l", + "Ġmedi al", + "Ġm anos", + "Ġman os", + "Ġma nos", + "Ġmano s", + "Ġd elt", + "Ġde lt", + "Ġdel t", + "s vm", + "sv m", + ". Apis", + ".A pis", + ".Api s", + ".Ap is", + "e phy", + "ep hy", + "eph y", + "Ġasym pt", + "Ġapp Delegate", + "Ġimpro bable", + "c ka", + "ck a", + "s imd", + "si md", + "sim d", + "/ Error", + "/E rror", + ". âĢĵ", + "Ġ PTS", + "ĠP TS", + "ĠPT S", + "d eer", + "de er", + "dee r", + "Ġs ina", + "Ġsi na", + "Ġsin a", + "m agnitude", + "ID ADE", + "IDA DE", + "IDAD E", + "'] }'", + "']} '", + "Ġmay ores", + "Ġmayor es", + "Ġmayo res", + "ĉ comment", + "ĉcom ment", + "/ console", + "/con sole", + "\" @", + "v olt", + "vo lt", + "vol t", + ". sell", + ".s ell", + ".se ll", + ".sel l", + "ĠM acy", + "ĠMac y", + "ĠMa cy", + "Ġme lod", + "Ġmel od", + "Ġim ágenes", + "_ chg", + "_c hg", + "_ch g", + "Ġin out", + "Ġi nout", + "id ente", + "ide nte", + "ident e", + "iden te", + ") '),Ċ", + ")' ),Ċ", + ")'), Ċ", + "d ni", + "dn i", + ". blob", + ".b lob", + ".bl ob", + "Ġtyp ography", + "Ġe erie", + "Ġee rie", + "Ġeer ie", + "_ OID", + "_O ID", + "p esan", + "pe san", + "pes an", + "a jan", + "aj an", + "aja n", + "Ġch opping", + "Ġcho pping", + "Ġchop ping", + "Ġbl uff", + "a df", + "ad f", + "_ bases", + "_b ases", + "_base s", + ". Formatter", + ".Form atter", + ".Format ter", + ".For matter", + "Ġ\\ %", + "ĠPage Info", + "Car rier", + "ĠCal ibration", + "c omo", + "com o", + "co mo", + "-b odied", + "Ġfinanc ier", + "Ġ INA", + "ĠI NA", + "ĠIN A", + ". ERR", + ".E RR", + "Ġho odie", + "Ġhood ie", + "ĠS anity", + "ĠSan ity", + "gu arded", + "guard ed", + ".opend aylight", + "IS MATCH", + "ISM ATCH", + "High lights", + "Highlight s", + "ü nk", + "ün k", + "an iem", + "ani em", + "anie m", + "ang ered", + "ange red", + "anger ed", + "assign ments", + "assignment s", + "Ġregistr ado", + "Ġregist rado", + "ĠU PPER", + "ĠUP PER", + "ampil kan", + "a shire", + "as hire", + "ash ire", + "ashi re", + "ĠNik ola", + "ĠNi kola", + "ĠNikol a", + "ĠC FL", + "ĠCF L", + "ĠH DC", + "ĠHD C", + "Ġp oids", + "Ġpo ids", + "Ġpoi ds", + "ĠI Ps", + "ĠIP s", + "Ġprevent ative", + "ips oid", + "i fix", + "if ix", + "ifi x", + ". camel", + ".c amel", + ".ca mel", + ".cam el", + ". ga", + ".g a", + "V olumes", + "Volume s", + "Vol umes", + "- ste", + "-s te", + "-st e", + "Y ahoo", + "Ya hoo", + "_s ibling", + "_si bling", + "H ighest", + "High est", + "Hi ghest", + "opt group", + "Ġkvin na", + "Ġkvinn a", + "âĢĿ ãĢĤĊĊ", + "âĢĿãĢĤ ĊĊ", + "ĠAppl iances", + "Ġ \"><", + "Ġ\" ><", + "Ġ\"> <", + "' )\")Ċ", + "') \")Ċ", + "')\" )Ċ", + "h tt", + "ht t", + "ĠIdent ified", + "Ġpencil s", + "Ġpenc ils", + "Ġmember Id", + "Ġappend String", + ".load Data", + "Ġmock Mvc", + "Ġj ub", + "Ġju b", + "ĠS lut", + "ĠSl ut", + "ĠTai pei", + "st att", + "stat t", + "sta tt", + "P olit", + "Pol it", + "Po lit", + "Ġpart ager", + "Did Change", + "Incre ases", + "Increase s", + ") }.", + ")} .", + "ĠB aba", + "ĠBa ba", + "ĠBab a", + "_CL IP", + "_CLI P", + "[ unit", + "[u nit", + "Ġ клÑİÑĩ", + "Ġк лÑİÑĩ", + "Ġalc uni", + "ĠL ola", + "ĠLo la", + "ĠLol a", + "Ġcl inging", + "Ġclin ging", + "Ġcling ing", + "@ PostMapping", + "( concat", + "(con cat", + "Ġ ssid", + "Ġs sid", + "Ġss id", + "ĠF auc", + "ĠFa uc", + "o kit", + "ok it", + "oki t", + "ĠRecord ed", + "á lez", + "ál ez", + "ále z", + "($ ('<", + "($( '<", + "($(' <", + ".assertIs Not", + "Ġk ali", + "Ġka li", + "Ġkal i", + "V olt", + "Vo lt", + "Vol t", + "Ġwarm ly", + "Ġsc ares", + "Ġsca res", + "Ġscar es", + "Ġscare s", + "g etti", + "get ti", + "ge tti", + "gett i", + "füh rt", + "führ t", + "_ does", + "_d oes", + "_do es", + ". EMAIL", + ".E MAIL", + "im ations", + "imation s", + "imat ions", + "Ġspring fox", + "ĠD ecom", + "ĠDe com", + "ĠDec om", + "ar cy", + "arc y", + "Ġgl itches", + "Ġglitch es", + "ĠM off", + "ĠMo ff", + "ĠV oll", + "ĠVol l", + "ĠVo ll", + ". between", + ".b etween", + "Ġco orden", + "Ġcoord en", + "ĠPart icularly", + "G BP", + "GB P", + "Ġ semble", + "Ġs emble", + "Ġsem ble", + "Ġsembl e", + "East ern", + "_M SB", + "_MS B", + "] ){čĊ", + "]) {čĊ", + "]){ čĊ", + "m organ", + "mo rgan", + "mor gan", + "ĠE VAL", + "ĠEV AL", + "d ere", + "de re", + "der e", + "H OUSE", + "HO USE", + "m oire", + "mo ire", + "ist ique", + "isti que", + "_l stm", + "_lst m", + "_ls tm", + "- commit", + "-com mit", + "-comm it", + "yster ious", + "Ġtw ink", + "Ġtwin k", + "- thumbnails", + "-th umbnails", + "-thumbnail s", + "e nÃŃ", + "en ÃŃ", + ": '',", + ":' ',", + ":'' ,", + "Ġblack out", + "ĠFloor s", + "ĠFlo ors", + "Ġso fas", + "Ġsofa s", + "Ġsof as", + "Ġ oui", + "Ġo ui", + "Ġou i", + "le shoot", + "les hoot", + "lesh oot", + "ĠR aq", + "ĠRa q", + "- abs", + "-a bs", + "-ab s", + "Ġk ra", + "Ġkr a", + "M ining", + "Min ing", + "Mi ning", + "Mini ng", + "s haft", + "sh aft", + "sha ft", + ".set Columns", + ".setColumn s", + "Cl azz", + "Cla zz", + "PRE TTY", + ". playlist", + ".play list", + "éĸ ¢", + "-Sah aran", + "M ING", + "MI NG", + "MIN G", + "ĉ bl", + "ĉb l", + "è® ®", + "j f", + "DO CKER", + "DOC KER", + "hop efully", + "hope fully", + "( ignore", + "(i gnore", + "ĠUsers Controller", + "ĠMitar beiter", + "Ġ LES", + "ĠL ES", + "ĠLE S", + "Ham ilton", + "- metadata", + "-m etadata", + "-meta data", + "Ġ KK", + "ĠK K", + "ikt ig", + "Ġwoll te", + "Ġwol lte", + "egr ator", + "egra tor", + "] bool", + ", current", + ",c urrent", + "Ġvalue Type", + "Ġexcav ation", + "o land", + "ol and", + "ola nd", + "olan d", + "Ġv erv", + "Ġver v", + "Ġve rv", + "/ filepath", + "/file path", + "Auth Provider", + "Ġpro crast", + "ĉ ULONG", + "ĉU LONG", + "_MEM BERS", + "_MEMBER S", + "Ġup lift", + "ĠAut onomous", + "Ġart works", + "Ġartwork s", + "ĠOut reach", + "Ġp ore", + "Ġpo re", + "Ġpor e", + "Home page", + "Dialog Title", + "Ġ Generating", + "ĠG enerating", + "ĠGener ating", + "ĠGene rating", + "P ARSE", + "PAR SE", + "Ġsem anas", + "Ġsemana s", + "Ġhum ano", + "Ġhuman o", + "JSGlobal Scope", + "Ġvo lte", + "Ġvol te", + "Ġvolt e", + "Ġb ella", + "Ġbe lla", + "Ġbel la", + "Ġbell a", + "(is instance", + "Ġp lc", + "Ġpl c", + "\\ Catalog", + "\\C atalog", + "Ġeste emed", + "Ġesteem ed", + "éĽ ·", + "( suffix", + "(s uffix", + "Ġswe eps", + "Ġsweep s", + "ĉ ORDER", + "Ġdo ivent", + "Ġdoi vent", + "ĠS warm", + "ĠSw arm", + "Ġ Compiled", + "ĠComp iled", + "ĠCompile d", + "get Page", + "A DR", + "AD R", + ".R ichTextBox", + "Ġ Naming", + "ĠN aming", + "ĠNa ming", + "ĠNam ing", + "ag ged", + "agg ed", + "ĠG ANG", + "ĠGA NG", + "r asing", + "ra sing", + "ras ing", + "od eled", + "ode led", + "odel ed", + "Ġg ala", + "Ġga la", + "Ġgal a", + "ĠJS Name", + "d df", + "dd f", + "Ġil lust", + "Ġill ust", + "ĠLan sing", + "ĠLans ing", + "[ port", + "[p ort", + "- death", + "-de ath", + "Ġdin heiro", + "ĠE ighth", + "ĠEight h", + "Ġ bian", + "Ġb ian", + "Ġbi an", + "st Ã¥", + "Ġvers ión", + "ĠLinear Gradient", + "ĠH arding", + "ĠHar ding", + "ĠHard ing", + ". *)", + ".* )", + "e czy", + "ec zy", + "ecz y", + "$ header", + "Ġv Ã¥r", + "ĠvÃ¥ r", + "Un checked", + "Ġk oje", + "Ġko je", + "ĠPal adin", + "( ))),", + "() )),", + "()) ),", + "())) ,", + "G iving", + "Gi ving", + "( )})Ċ", + "() })Ċ", + "()} )Ċ", + "Ġd ips", + "Ġdi ps", + "Ġdip s", + "F riendly", + "Friend ly", + "Ġport rays", + "Ġportray s", + "Ġhel ium", + "Ġinsurg ency", + "_ expiry", + "_ex piry", + "_exp iry", + "ĠstringByAppending String", + "Ġa antal", + "Ġaan tal", + "s lope", + "sl ope", + "m ast", + "ma st", + "mas t", + ".get Integer", + ".getInt eger", + "Ġ ########################", + "Ġ######## ################", + "Ġ################ ########", + "Ġ############ ############", + "_PIPE LINE", + "Ġd ensely", + "Ġdense ly", + "Ġdens ely", + "Ġmut ating", + "m idi", + "mi di", + "mid i", + "ĠSe it", + "a yne", + "ay ne", + "NOW LED", + "ĠDes mond", + "ĠF Name", + "ĠFN ame", + "ĠN airobi", + "\\ Context", + "Ġcal cular", + "Ġcalcul ar", + "Ġcalc ular", + "- den", + "-d en", + "-de n", + "Ġ cott", + "Ġc ott", + "Ġco tt", + "Ġcot t", + "] ):čĊ", + "]) :čĊ", + "]): čĊ", + "ĠRecommend ation", + "ĠRo lex", + "ĠRole x", + "ĠRol ex", + "Ġvalidation Result", + ". pat", + ".p at", + ".pa t", + "Ġn Ãły", + "ĠRest Client", + "ĠG PI", + "ĠGP I", + "ĠAshe ville", + "Ġ OSP", + "ĠO SP", + "ĠOS P", + "ĠPER MISSION", + "ÐĶ аÑĤа", + "/ notification", + "/not ification", + "K night", + "Kn ight", + "_ Word", + "_W ord", + "ĠB ender", + "ĠBe nder", + "ĠBen der", + "ĠBend er", + "r anking", + "ran king", + "rank ing", + "Ġpart ida", + "Ġparti da", + "_ reservation", + "_res ervation", + "Ì Ģ", + "Ġm Name", + "Ġg etch", + "Ġget ch", + "Ġb orr", + "Ġbo rr", + "Ġbor r", + "Ġdilig ent", + "Disc uss", + "æŃ£ åľ¨", + "ape ake", + "i oned", + "ion ed", + "io ned", + "ione d", + "-N azi", + ". cum", + ".c um", + "ĠK ron", + "ĠKr on", + "ĠKro n", + "= $('#", + "=$ ('#", + "=$( '#", + "/ single", + "/s ingle", + "Ġerot isch", + "ĠV ib", + "ĠVi b", + "Ġrat ified", + "Ġconcert ed", + "ĠREG ARD", + "Ġdo br", + "Ġdob r", + ".Driver Manager", + "' r", + "Port able", + "Por table", + "ĉ suite", + "ĉs uite", + "Ġrel aciones", + "Ġrelacion es", + "ĠD op", + "ĠDo p", + "emp loi", + "empl oi", + "emplo i", + "D OB", + "DO B", + "Ġcr umbs", + "Ġ xls", + "Ġx ls", + "Ġxl s", + "_ Application", + "_App lication", + "(' :',", + "(': ',", + "Ġ-- ----------------------------------------------------------------------Ċ", + "Ġ---------------------------------------------------------------- --------Ċ", + "Ġ------------------------------------------------------------ ------------Ċ", + "m se", + "ms e", + "Ġb erk", + "Ġbe rk", + "Ġber k", + "Ġ ReturnValue", + "ĠReturn Value", + "ĠB elly", + "ĠBel ly", + "ĠBell y", + "Ġc amar", + "Ġca mar", + "Ġcam ar", + "ĠPe ek", + "ĠPee k", + "el sing", + "els ing", + "Ġnot ifies", + "ĠTr istan", + "ĠTri stan", + "ĠG AR", + "ĠGA R", + "em me", + "emm e", + "ĠElev ated", + "_ CSV", + "_C SV", + "_CS V", + "( chalk", + "(ch alk", + "Ġtw enties", + "ĠSearch Result", + "= search", + "=s earch", + "ĠMix ing", + "ĠMi xing", + "ý t", + "Ġrecru iter", + "Ġrecruit er", + "ĠIDE OGRAPH", + "ĠA go", + "ĠAg o", + "( Operation", + "(O peration", + "(Op eration", + "$ values", + "$value s", + "$val ues", + "Ġworld ly", + "ĠRos enberg", + "ĠRosen berg", + "ĠConfigure Services", + "> ** Ċ", + "...\" >Ċ", + "Ġsn ork", + "Ġsno rk", + "_ opacity", + "_op acity", + "ĠinitWith NibName", + "i ado", + "ia do", + "iad o", + "A AC", + "AA C", + "Ġ ]).", + "Ġ] ).", + "Ġ]) .", + "; z", + "_ paragraph", + "_par agraph", + "_para graph", + "Ġn oses", + "Ġno ses", + "Ġnos es", + "Ġnose s", + "st ands", + "stand s", + "sta nds", + "stan ds", + "i fr", + "if r", + "_m E", + "I raq", + "Ir aq", + ". Predicate", + ".P redicate", + "e naire", + "en aire", + "ena ire", + "] ]];Ċ", + "]] ];Ċ", + "Ġ unidad", + "Ġun idad", + "Ġuni dad", + "Ġretire es", + "Ġretir ees", + "_ hello", + "_h ello", + "Ġ modele", + "Ġmod ele", + "Ġmodel e", + "Ġmode le", + "ĠUITableView Controller", + "ĠUIT ableViewController", + "f write", + "fw rite", + "_ numero", + "_num ero", + "_numer o", + "_ visited", + "_vis ited", + "_visit ed", + "Ġrec ebe", + "Ġrece be", + "( Notification", + "Fant astic", + "_ submenu", + "_sub menu", + "ĠP EM", + "ĠPE M", + "ĠC upertino", + "ĠCup ertino", + "approx imately", + "cl assed", + "class ed", + "clas sed", + ".Read String", + "Ġdomic ile", + "_ PW", + "_P W", + "Ġball park", + "ĠK ale", + "ĠKa le", + "ĠKal e", + "con tra", + "cont ra", + "contr a", + "_ favorite", + "_f avorite", + "/ of", + "/o f", + "Q uite", + "Qu ite", + "Quit e", + "Qui te", + "Ġ OTA", + "ĠO TA", + "ĠOT A", + "Ġacceler ometer", + "di dn", + "did n", + "| ^", + "ĠRohing ya", + "ivi crm", + "ivic rm", + "ann abin", + "anna bin", + "обÑĭ ÑĤи", + "o rado", + "or ado", + "ora do", + "' )+", + "') +", + "Ha unted", + ", ID", + ",I D", + "( UIAlertAction", + "u rv", + "ur v", + "_ bel", + "_b el", + "_be l", + "ĠMex icans", + "ĠMexican s", + "/ terms", + "Ġ Painter", + "ĠP ainter", + "ĠPa inter", + "ĠPaint er", + "ĠPain ter", + "Input Label", + "ĠV inci", + "ĠVin ci", + "ĠRo sie", + "ĠRos ie", + "\\ uc", + "\\u c", + "< Menu", + "", + "Ġ'\" >", + "_ gs", + "_g s", + "Ġcomp il", + "n ard", + "na rd", + "nar d", + "- exc", + "-e xc", + "-ex c", + "Ġrh yme", + "Ġb utto", + "Ġbut to", + "Ġbutt o", + "s ays", + "sa ys", + "say s", + "ant asy", + "anta sy", + "antas y", + "ë ¸", + "Ġcitt Ãł", + "Ġch eg", + "Ġche g", + "Time String", + "Ġpos itivity", + "Ġposit ivity", + "ĠD abei", + "ĠDa bei", + "Ġ wang", + "Ġw ang", + "Ġwa ng", + "Ġwan g", + "Ġes cre", + "Ġesc re", + "\" c", + "ĉ video", + "ĉv ideo", + "Ġ Ranked", + "ĠR anked", + "ĠRank ed", + "ĠRan ked", + ". strings", + ".string s", + ".str ings", + "> >>(", + ">> >(", + ">>> (", + "Ġин ÑĤеÑĢ", + "ĠинÑĤ еÑĢ", + "Ġre sta", + "Ġr esta", + "Ġres ta", + "Ġrest a", + "[: ,:", + "[:, :", + "Ġren dre", + "Ġrend re", + "Ġde ser", + "Ġdes er", + "Ġdese r", + "J os", + "Jo s", + "Ġdis ruptions", + "Ġdisrupt ions", + "Ġdisruption s", + "Ġо пеÑĢ", + "Ġоп еÑĢ", + "s ampling", + "sam pling", + "samp ling", + "sup press", + "Ġcontainer View", + "ĠSeam less", + "Ġ airy", + "Ġa iry", + "Ġair y", + "Ġai ry", + "Ġon load", + ".Window Manager", + "ĠP LA", + "ĠPL A", + "br aco", + "bra co", + ".set PositiveButton", + "Ġp du", + "Ġpd u", + "Ġg si", + "Ġgs i", + "Ġ Cli", + "ĠC li", + "ĠCl i", + "_gr adients", + "_grad ients", + "_gradient s", + "Ñı д", + "ĠWh isper", + "c stdint", + "Ġl äng", + "Ġlä ng", + "Ġform ulations", + "Ġformulation s", + "Ġformul ations", + "é nom", + "én om", + "ourn emouth", + "[ $_", + "[$ _", + "Ġordin arily", + ".set Username", + ".setUser name", + "Ġfacult ies", + "MIT TED", + "/ values", + "/value s", + "Ġwe ir", + "Ġwei r", + "ĠA pt", + "ĠAp t", + "M Z", + "ĉ cf", + "ĉc f", + "u cken", + "uc ken", + "uck en", + "ĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉĉ", + "ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ ĉ", + "def ense", + "[ iVar", + "[i Var", + "ĠBusiness Exception", + "Select ors", + "Selector s", + "Sel ectors", + "Sele ctors", + "( coordinates", + "(co ordinates", + "ĠRe sets", + "ĠRes ets", + "ĠReset s", + "ĠDr inks", + "ĠDrink s", + "o leans", + "ole ans", + "olean s", + "(st ypy", + "_ IOC", + "_I OC", + "_IO C", + ". xxx", + ".x xx", + ".xx x", + "ĠS later", + "ĠSl ater", + "ĠSlate r", + "ĠB elize", + "ĠBel ize", + "Ġ /************************************************************************", + "Ġ/ ************************************************************************", + "Ġ/**************************************************************** ********", + "ad din", + "add in", + "_ep isodes", + "_episode s", + "Ġis chem", + "Ġisc hem", + "legal ArgumentException", + "D anny", + "Dan ny", + "Ġ pared", + "Ġp ared", + "Ġpar ed", + "Ġpa red", + "Ġpare d", + ".code haus", + "ĠAs sy", + "ĠAss y", + "ĉ Rect", + "ĉR ect", + "â ŀ", + ". lista", + ".l ista", + ".list a", + ".li sta", + "Ġв аÑĪ", + "Ġва ÑĪ", + "Ġv ets", + "Ġve ts", + "Ġvet s", + "H WND", + "HW ND", + "is oner", + "ison er", + "iso ner", + "Ġ xo", + "Ġx o", + "Ġor ally", + "Ġoral ly", + "Ġ Stmt", + "ĠSt mt", + ".r nn", + "ĠD PI", + "ĠDP I", + "ĠSt rikes", + "ĠStr ikes", + "ĠStrike s", + ".setViewport View", + "Ġèĩª åĬ¨çĶŁæĪIJ", + "Y ELLOW", + "GL enum", + "part ners", + "partner s", + "Ġ Implicit", + "ĠImp licit", + "ĠImpl icit", + "Ġt ako", + "Ġta ko", + "Ġtak o", + "âĢĻ elle", + "âĢĻe lle", + "Ġerm ög", + "total Count", + "G il", + "Gi l", + "ĉ work", + "ĉw ork", + "Ġpr atic", + "Ġpra tic", + "Ġprat ic", + "in ati", + "ina ti", + "a bies", + "ab ies", + "abi es", + "ĠSk inner", + "ĠSkin ner", + "Ġspirit ed", + "Ġspir ited", + "Ġpancre atic", + "Ġh df", + "Ġhd f", + "' em", + "'e m", + "Ġpsych osis", + "Ġpsycho sis", + "o licit", + "ol icit", + "olic it", + "oli cit", + "Ġ\" {\"", + "Ġ\"{ \"", + "_at ual", + "_a tual", + "Ġé lect", + "Ġél ect", + "TE AM", + "Ġd ak", + "Ġda k", + "ĠSW AT", + ". FragmentManager", + ".Fragment Manager", + "Ġprovision ing", + "l ifetime", + "life time", + "lif etime", + "_EXT ENSIONS", + "_EXTENSION S", + "Ġ CASCADE", + "ĠC ASCADE", + "ĠCAS CADE", + "Ġ ![", + "Ġ! [", + "( KP", + "(K P", + "Ġ vem", + "Ġv em", + "Ġve m", + "ĠInter racial", + "ĠInterr acial", + "' ]},Ċ", + "'] },Ċ", + "']} ,Ċ", + "sp acer", + "space r", + "spa cer", + "_ kv", + "_k v", + "W arehouse", + "Ware house", + "R DD", + "RD D", + "_f sm", + "_fs m", + ".Stretch Image", + ", Yes", + ",Y es", + "ĠRefuge e", + "ĠBr inging", + "ĠBring ing", + "Ġv álido", + "Ġvál ido", + ". intersection", + ".inter section", + "Ġsp ooky", + "Ġspo oky", + "_ portal", + "_p ortal", + "_port al", + "_por tal", + "Ġ moth", + "Ġm oth", + "Ġmot h", + "Ġmo th", + "ĠZ odiac", + "ĠSOC IAL", + "M imeType", + "'] }}", + "Ġ----- ->", + "Ġ------ >", + "_ Blue", + "_B lue", + "_Bl ue", + "Ġbot anical", + "Ġfr ags", + "Ġfra gs", + "Ġfrag s", + "Ġfamil ial", + "Ġfamilia l", + "- du", + "-d u", + "Ġse izing", + "Ġseiz ing", + "Ġsei zing", + "( blocks", + "(b locks", + "(block s", + "(bl ocks", + ". rd", + ".r d", + ".check NotNull", + "Ġm iser", + "Ġmis er", + "Ġmi ser", + "Ġmise r", + "Ġmax x", + "Ġma xx", + "ĠK nee", + "ĠKn ee", + "View Item", + "Inner HTML", + "D anger", + "Da nger", + "Dan ger", + "( (__", + "(( __", + "((_ _", + "Ġprz ypad", + "Ġprzy pad", + "create Url", + "* *,", + "** ,", + "ĠDecor ating", + "ATE GY", + "ATEG Y", + "? >/", + "?> /", + ". Designer", + ".Des igner", + ".Design er", + "hex digest", + "ĠEvery where", + "all eries", + "alle ries", + "aller ies", + ".TEXT URE", + ". Blocks", + ".B locks", + ".Bl ocks", + ".Block s", + "z ell", + "ze ll", + "zel l", + "Ġpre ço", + "S uddenly", + "input Email", + "( sync", + "(s ync", + ". bd", + ".b d", + "gold en", + "> ');", + ">' );", + ">') ;", + "ĠDick inson", + "> >(Ċ", + ">> (Ċ", + ">>( Ċ", + "Ġ QUEUE", + "ĠQUE UE", + "Ġ getColumn", + "Ġget Column", + "ĠgetC olumn", + "ĠS AND", + "ĠSA ND", + "ĠSAN D", + ". piece", + ".p iece", + ".pi ece", + "l icer", + "lic er", + "li cer", + "lice r", + "Fl utter", + "Ġget Version", + "Ġresource Id", + "o gl", + "og l", + "ÅĤ aw", + "ÅĤa w", + ". Branch", + ".Br anch", + "ĉ web", + "ĉw eb", + "Ġfr amerate", + "Ġframe rate", + "Ġfram erate", + "P PP", + "PP P", + "Ġf ray", + "Ġfr ay", + "Ġfra y", + "C NT", + "CN T", + "Ġinform atie", + "Ġinformat ie", + "' ]čĊčĊ", + "'] čĊčĊ", + "']čĊ čĊ", + "ne as", + "nea s", + "Header Code", + "Ġ æ¸", + "Ġæ ¸", + "Ġt rg", + "Ġtr g", + "raw types", + "H onda", + "Ho nda", + "Hon da", + "Ġmark eter", + "Ġmarket er", + "Ġ requestData", + "Ġrequest Data", + "Ġ Pg", + "ĠP g", + "ĉ not", + "ĉn ot", + "ĉno t", + "Ġpage Info", + "Ġakt uellen", + "Ġaktu ellen", + "ãģ ķãĤĵ", + "ãģķ ãĤĵ", + "Ġ AMS", + "ĠA MS", + "ĠAM S", + "push ViewController", + "ĉ AL", + "ĉA L", + "Ġv ests", + "Ġve sts", + "Ġvest s", + "Ġves ts", + "p roduce", + "pro duce", + "produ ce", + "prod uce", + "-m ême", + "ĠRah man", + "F unny", + "Fun ny", + "E Z", + "_ Valid", + "_Val id", + "Ġsquad ron", + "Ġ lash", + "Ġl ash", + "Ġla sh", + "Ġlas h", + "Ġ irm", + "Ġi rm", + "Ġir m", + "i asco", + "ias co", + "ĠP aran", + "ĠPar an", + "ĠPa ran", + "ĠPara n", + "Ġpet ites", + "Ġpetite s", + "Ġpetit es", + "ĠDec ay", + "Ġun initialized", + "priv ileged", + "Ġm bedtls", + "å¤ĩ 注", + "Ġ ^.", + "Ġ^ .", + "Ġec static", + "D etroit", + "Det roit", + "Ġp arten", + "Ġpart en", + "Ġpar ten", + "Ġparte n", + "Ġsou venir", + ".get Login", + ".getLog in", + "моÑĤ ÑĢ", + "мо ÑĤÑĢ", + "en ção", + "ĠmÃŃn imo", + "ĠAccess ed", + "ĠAcc essed", + "r ió", + "ri ó", + "M ic", + "Mi c", + "ĠV ocal", + "ĠVo cal", + "ĠVoc al", + ".Set String", + "Ġmens ajes", + "Ġmensaje s", + "åĢ į", + "Ġattr avers", + "ĠA ph", + "ĠAp h", + "Ġ ');čĊ", + "Ġ' );čĊ", + "Ġ') ;čĊ", + "Ġ'); čĊ", + "ü nde", + "ün de", + "ünd e", + "Ġenchant ed", + "Ġench anted", + "ĠRoot State", + "ĠCLOSE D", + "ĉ ĉĉĉĉĉĉĉčĊ", + "ĉĉ ĉĉĉĉĉĉčĊ", + "ĉĉĉĉ ĉĉĉĉčĊ", + "ĉĉĉ ĉĉĉĉĉčĊ", + "ĉĉĉĉĉ ĉĉĉčĊ", + "ĉĉĉĉĉĉ ĉĉčĊ", + "ĉĉĉĉĉĉĉĉ čĊ", + "ĉĉĉĉĉĉĉ ĉčĊ", + "Ġcal iente", + "or ris", + "orr is", + "Ġphysic ists", + "Ġphysicist s", + "h wnd", + "hw nd", + "_ vi", + "_v i", + "Ġráp ido", + "Ġcapital ized", + "Ġcapitalize d", + "ed By", + "Ġmach ining", + "Ġh ubby", + "Ġhub by", + "ĠSt acy", + "ĠSta cy", + ". Bus", + ".B us", + "d rink", + "dr ink", + "H ur", + "Hu r", + "Ġpr opia", + "Ġprop ia", + "Unit Test", + "Ġmiscon ception", + "_ _));Ċ", + "__ ));Ċ", + "__) );Ċ", + "__)) ;Ċ", + "/ dc", + "/d c", + "ĠMay weather", + "_m C", + ". createFrom", + ".create From", + "ĠQ Painter", + "ro psych", + "rops ych", + "inn itus", + "a yas", + "ay as", + "aya s", + "Ġg eg", + "Ġge g", + "( dw", + "(d w", + "Ġus ado", + "Ġusa do", + "Ġtr ickle", + "Ġtrick le", + "Ġann ihil", + "Ġanni hil", + "ĠP asta", + "ĠPa sta", + "ĠPast a", + "ĠPas ta", + "Ġ ++Ċ", + "Ġ+ +Ċ", + "Ġ++ Ċ", + "(Expected Conditions", + ".post Value", + "i cap", + "ic ap", + "ica p", + "ĠDon etsk", + "_ soup", + "_s oup", + "_so up", + "- publish", + "-p ublish", + "ĠP b", + "m entions", + "ment ions", + "mention s", + "AC CEPT", + ". Pull", + ".P ull", + ", âĢĻâĢĻ", + ",âĢĻ âĢĻ", + "Ġret arded", + "Ġretard ed", + "_ ATOM", + "_AT OM", + "ĠTerm inator", + "ĠTermin ator", + "- court", + "-c ourt", + "-co urt", + "ĠCLLocation Coordinate", + "Ġrev erence", + "Ġreve rence", + "Ġrever ence", + "ĠS SC", + "ĠSS C", + "ut ely", + "ute ly", + "ĠW ON", + "ĠG SL", + "ĠGS L", + "f rei", + "fr ei", + "fre i", + ".get Longitude", + ".getLong itude", + "Ġopen FileDialog", + ".B utter", + ".But ter", + "- important", + "-import ant", + "_M ANY", + "_MAN Y", + "_MA NY", + "ĠG ong", + "ĠGo ng", + "ĠGon g", + "âĢľ How", + "Ġg orge", + "Ġgor ge", + "= msg", + "=m sg", + "ĠE zek", + "ĠEz ek", + "create Command", + ": checked", + "Ġinfo graphic", + "Ġinf ographic", + ". WEST", + ".W EST", + "D irs", + "Dir s", + "Di rs", + "Ġgu arda", + "Ġguard a", + "Ġguar da", + "Ġbee tle", + "Ġbeet le", + "< small", + " Loading", + "_ mA", + "_m A", + ".get Random", + "b lings", + "bl ings", + "bling s", + "Ġche eses", + "Ġcheese s", + "Ġchees es", + "t ti", + "tt i", + ". âĢ¢", + "ĠBurg ess", + "ender it", + "ende rit", + ". ',čĊ", + ".' ,čĊ", + ".', čĊ", + "(\" \"+", + "(\"\" +", + "a cb", + "ac b", + "% p", + "index ed", + "inde xed", + "_ predicate", + "_p redicate", + "_pred icate", + "nes ia", + "Ġb ied", + "Ġbi ed", + "ĠC IT", + "ĠCI T", + "( Pos", + "(P os", + "_ radi", + "_r adi", + "_rad i", + "_ra di", + "ä»· æł¼", + "B iz", + "Bi z", + "ĠAdoles cent", + "Ġv iên", + "Ġvi ên", + "c ycl", + "cy cl", + "_ Cancel", + "_C ancel", + "Ġcon clusive", + "Ġconclus ive", + "Ġconcl usive", + "Ġappell ate", + "Ġappel late", + "inform atics", + "S J", + "Ġel ective", + "Ġelect ive", + "role Id", + "Fetch er", + "ĉ Command", + "(\" (%", + "(\"( %", + "Ġf art", + "Ġfa rt", + "Ġfar t", + "I LA", + "IL A", + "get Block", + "A USE", + "AU SE", + "Ġ дан", + "Ġд ан", + "Ġда н", + "ĠAr te", + "ĠArt e", + "Ġnot ifying", + "Ġnotify ing", + "Ġg ele", + "Ġge le", + "Ġgel e", + ". same", + ".s ame", + ".sa me", + ".sam e", + "ĠRe gel", + "ĠReg el", + "Ġ BaÅŁ", + "ĠB aÅŁ", + "ĠBa ÅŁ", + ". creation", + ".c reation", + "Ġ VN", + "ĠV N", + "_ community", + "_comm unity", + "Ġuns ustainable", + "S EX", + "SE X", + "Ġgrid Size", + "res cia", + "avers able", + "(', ')[", + "(',' )[", + "(',') [", + "ĠPh elps", + "á»ķ i", + "ANCE LED", + "ANCEL ED", + "- IS", + "-I S", + ".run ners", + ".runner s", + "ĠSt okes", + "ĠSto kes", + "ĠStoke s", + ". Produ", + ".P rodu", + ".Pro du", + ".Pr odu", + "Ġwh ipping", + "Ġwhip ping", + "_ac quire", + "Ġinvestig ación", + "f ried", + "fr ied", + ".copy With", + "ĠHard cover", + "- Se", + "-S e", + "áŀ¶ áŀ", + "inv itation", + "les ai", + "ĠD orm", + "ĠDo rm", + "ĠDor m", + "ĠÑģпиÑģ ка", + "Ġconcaten ated", + "Ġconcatenate d", + "o phil", + "op hil", + "oph il", + "Ġth inker", + "Ġthink er", + "Ġthin ker", + "/font awesome", + "ĠLe opard", + "ĠLeo pard", + "Ġ\" /\");Ċ", + "Ġ\"/ \");Ċ", + "Ġ\"/\" );Ċ", + "Ġresidual s", + "ĠMicro wave", + "ĠMic rowave", + "Ġcon forme", + "Ġconform e", + "th rop", + "thr op", + "thro p", + "Ġdis emb", + "Ġdi semb", + "Ġdise mb", + "ĠO MG", + "ĠOM G", + "ĠDisc ipline", + "ĠAc robat", + "/ repository", + "/re pository", + "/repos itory", + "d fa", + "df a", + "_ MED", + "_M ED", + "_ME D", + "buf io", + "Ġméth ode", + "_H OLD", + "i asi", + "ia si", + "ias i", + "_ legacy", + "_leg acy", + ") ččĊ", + "æ£ Ģ", + "Get ProcAddress", + "Ġy ay", + "Ġya y", + "ot ence", + "ote nce", + "oten ce", + "order id", + "orde rid", + "- tw", + "-t w", + "Ġd early", + "Ġdear ly", + "In coming", + "Inc oming", + "/ il", + "/i l", + "Ġneuro p", + "Ġneu rop", + "Ġneur op", + "u cz", + "uc z", + ") ;čččĊ", + "); čččĊ", + "ĠInnov ative", + "Ġpro fund", + "Ġprof und", + "ig mat", + "igma t", + "igm at", + "Selection Mode", + "re levant", + ". GO", + ".G O", + "Ġbru ises", + "Ġs ach", + "Ġsa ch", + "Ġsac h", + "o def", + "od ef", + "ode f", + "Ġre imb", + "Ġreim b", + "/ desktop", + "/d esktop", + "- spot", + "-s pot", + "-sp ot", + "un dance", + "und ance", + "unda nce", + "undan ce", + "Ent ropy", + "Entr opy", + "\\ core", + "Ġs uger", + "Ġsu ger", + "Ġsug er", + "Ġ Mvc", + "ĠM vc", + "ĠGN OME", + "_ indx", + "_in dx", + "_i ndx", + "_ind x", + "ĠYY STYPE", + "ĠYYS TYPE", + "ĠMat lab", + "ĠC IF", + "ĠCI F", + "Ġ *))", + "Ġ* ))", + "Ġ*) )", + "Ġproduct List", + "Ġ Alright", + "ĠAl right", + "ace mark", + "ac emark", + "ÑĤ ив", + "ÑĤи в", + "mod ification", + "int ernational", + "inter national", + "intern ational", + "Ġh omers", + "Ġhome rs", + "Ġhom ers", + "Ġho mers", + "Ġhomer s", + "Ġd icts", + "Ġdi cts", + "Ġdict s", + "Ġdic ts", + "ĠQ Font", + ". SQLite", + ".SQL ite", + "Ġtransplant ation", + "ĠMessageBox Button", + "ĠEl ves", + "' ]])Ċ", + "'] ])Ċ", + "']] )Ċ", + "(Q Icon", + "Ġcin emas", + "Ġcinema s", + "Ġcine mas", + "CO ORD", + "- China", + "-Ch ina", + "Ġkh ẩu", + "æĪij çļĦ", + "Ġsk ulls", + "Ġskull s", + "Ġpain staking", + "Ġpains taking", + "f ce", + "fc e", + ".XR Label", + "Ġ specifier", + "Ġspec ifier", + "Ġprefer ring", + "Ġpref erring", + "/ activity", + "( Photo", + "á lt", + "ál t", + ". lot", + ".l ot", + ".lo t", + "' '.", + "'' .", + "an nonce", + "ann once", + "annon ce", + "anno nce", + ".google code", + "- pdf", + "-p df", + "ĠP oke", + "ĠPo ke", + "ĠPok e", + "_ ACL", + "_A CL", + "_AC L", + "Ġend owed", + "dis cover", + "disc over", + ".o mg", + ".om g", + "Ġwood land", + ". Magic", + ".M agic", + "Ġvol ont", + "Not Allowed", + "Ġc have", + "Ġch ave", + "Ġcha ve", + "B MW", + "BM W", + "',' =',", + "','= ',", + "ĠS IX", + "ĠSI X", + "æĪij 们", + "Ġko sher", + "Ġkos her", + "Ġas piration", + "Ġaspir ation", + "Ġasp iration", + "i ntl", + "in tl", + "int l", + "_ref ptr", + "' +Ċ", + "'+ Ċ", + "ment or", + "men tor", + ". club", + ".c lub", + ".cl ub", + "Window State", + ". ARR", + ".A RR", + ".AR R", + "Ġ zza", + "Ġz za", + "Ġzz a", + "Ġmessage Type", + ". equ", + ".e qu", + ".eq u", + "T hor", + "Th or", + "Tho r", + "Ġin just", + "Ġinj ust", + "Ġg ums", + "Ġgu ms", + "Ġgum s", + "Ġborder Side", + "/ ////", + "// ///", + "//// /", + "/// //", + "ĠTrans mit", + "Ġbuf size", + "Ġh ak", + "Ġha k", + "Ġ ellas", + "Ġel las", + "Ġell as", + "Ġella s", + "R ANDOM", + "RAND OM", + "ĉ mc", + "ĉm c", + "Ġp ea", + "Ġpe a", + "e ko", + "ek o", + "document o", + "Ġhyster ia", + "Ġare nas", + "Ġar enas", + "Ġaren as", + "Ġarena s", + "Ġgun men", + "Ġm ike", + "Ġmi ke", + "Ġmik e", + "Ġimp unity", + "at isation", + "atis ation", + "_ Zero", + "_Z ero", + "_COMP ANY", + "ĠG ors", + "ĠGo rs", + "ĠGor s", + "Ġuse Class", + "( redis", + "(r edis", + "(re dis", + "(red is", + "ĠRUN NING", + "ĠB air", + "ĠBa ir", + "ĠBai r", + "ve lte", + "vel te", + "velt e", + "Ġ ','.", + "Ġ', '.", + "Ġ',' .", + "а ÑĤÑĮÑģÑı", + "аÑĤÑĮ ÑģÑı", + "ö st", + "ös t", + "encode URIComponent", + "_ restrict", + "_re strict", + "Ġdec als", + "Ġ Pedido", + "ĠP edido", + "ĠPed ido", + "Ġalter cation", + "Dis plays", + "Display s", + "Disp lays", + "ĠApp licants", + "ĠApplicant s", + "C US", + "CU S", + "Text area", + "ĠAng ola", + ". future", + ".f uture", + "ĠU SHORT", + "ĠUS HORT", + "Ġsuppress ing", + "Ġsupp ressing", + "Ġset zen", + "AP olynomial", + "Ġt och", + "Ġto ch", + "Ġtoc h", + "Ġhall mark", + "Ġ $$$", + "Ġ$ $$", + "Ġ$$ $", + "ĠCHAR SET", + ". rpm", + ".r pm", + "ĠD ich", + "ĠDi ch", + "---- ----------------", + "-------- ------------", + "---------------- ----", + "------------ --------", + "----- ---------------", + "---------- ----------", + "------ --------------", + "----------- ---------", + "------------- -------", + "------- -------------", + "--------- -----------", + "--------------- -----", + "-------------- ------", + "_ parm", + "_p arm", + "_par m", + "_pa rm", + "è¿ ĺ", + "a cciones", + "acc iones", + "acci ones", + "accion es", + "h ait", + "ha it", + "hai t", + "WARD ED", + "WAR DED", + "_ routing", + "_r outing", + "_ro uting", + "ĠN OM", + "ĠNO M", + "Ġen clave", + "ĠL otto", + "ĠLot to", + "ĉ fr", + "ĉf r", + "complex Content", + "ĠBall ard", + "k ube", + "ku be", + "/ win", + "/w in", + ".getColumn Model", + "_RE PLACE", + "Header Value", + "Ġest udiantes", + "Ġ apis", + "Ġa pis", + "Ġap is", + "Ġapi s", + "Ġb pm", + "Ġbp m", + "Ġ TypeName", + "ĠType Name", + "And Get", + "r ita", + "ri ta", + "rit a", + "Pl ans", + "Plan s", + "> Note", + ">N ote", + ">No te", + "Ġfet isch", + "Ġt oned", + "Ġto ned", + "Ġton ed", + "Ġtone d", + "_ goto", + "_g oto", + "_go to", + "on sense", + "ons ense", + "Ġm olds", + "Ġmo lds", + "Ġmol ds", + "Ġmold s", + "Ġinfiltr ation", + "ĠGuerr ero", + "ub bo", + "ubb o", + "c ki", + "ck i", + "( $(\".", + "($ (\".", + "($( \".", + "_ activities", + "_act ivities", + "_activ ities", + "( changes", + "(ch anges", + "(chan ges", + "(change s", + "Ġof App", + "ĠKe pler", + "ĠD emp", + "ĠDe mp", + "ĠDem p", + "ĠCont inent", + "ĠContin ent", + ". Ticks", + ".T icks", + ".Tick s", + "Ġ Unsigned", + "ĠUn signed", + "ĠUns igned", + "ĠJah res", + "ĠJahr es", + "ĠJahre s", + "Ġfresh men", + "ĠArch ived", + "ĠArchive d", + "ĠкоÑĤоÑĢ Ñĭй", + "Ġ' ::", + "Ġ': :", + "T utorial", + "C c", + "Ġtable LayoutPanel", + "from Json", + ". levels", + ".level s", + "_trans ient", + "Ġendors ing", + "Ġ DIC", + "ĠD IC", + "ĠDI C", + "l auf", + "la uf", + "Ġsh red", + "Ġshr ed", + "_E MIT", + "_EM IT", + "ific antly", + "ificant ly", + "A LA", + "AL A", + "/ proto", + "/pro to", + "/pr oto", + "Ġnarr owing", + "Ġnarrow ing", + "Ġnar rowing", + "U tc", + "Ut c", + "F actors", + "Fact ors", + "Factor s", + "Fac tors", + "Fa ctors", + "Ġsent ient", + "æŀ IJ", + "lix ir", + "ĠC ROSS", + "m eteor", + "met eor", + "Ġgr oin", + "Ġgro in", + "Ġ mdb", + "Ġm db", + "Ġmd b", + "ĠRot terdam", + "Ġcom ida", + "ĠOp Code", + "Ġ DefaultValue", + "ĠDefault Value", + "Permissions Result", + "Ġheter ogeneous", + "Ġm oot", + "Ġmo ot", + "Ġmoo t", + "Ġde ceived", + "Ġdece ived", + "Ġdeceive d", + "-in dependent", + "ĠObject OutputStream", + "Ġover power", + ". dup", + ".d up", + "Ġ ldb", + "Ġl db", + "Ġld b", + "Ġdomestic ally", + "Ġdomest ically", + "Ġbe stellen", + "Ġbest ellen", + "Ġbeste llen", + "Ġ lov", + "Ġl ov", + "Ġlo v", + "ĠContract ors", + "ĠContr actors", + "ĠContractor s", + "Tri angles", + "Triangle s", + "Ġfod der", + "Ġfil mes", + "Ġfilm es", + "Ġfilme s", + "ä¼ ģ", + "Ġrev olver", + "Startup Script", + "/ validation", + "ĠResource Type", + "i ÅŁ", + "ĠL az", + "ĠLa z", + "f ef", + "fe f", + "Ġl stm", + "Ġlst m", + "Ġls tm", + "{ *", + ". attachment", + ".attach ment", + ".att achment", + ". hits", + ".h its", + ".hit s", + "e with", + "ew ith", + "D OG", + "DO G", + "Al abama", + "Ġmedium s", + "Ġmedi ums", + ".m Context", + "- cols", + "-c ols", + "-col s", + "-co ls", + "åı ĭ", + ". notice", + ".not ice", + "Ġat tn", + "Ġatt n", + "ĠP acking", + "ĠPac king", + "ĠPack ing", + "Ġ Ln", + "ĠL n", + "_COM PLEX", + "_COMP LEX", + "/ Users", + "/User s", + ".save txt", + ".sav etxt", + "ĠR ounds", + "ĠRo unds", + "ĠRound s", + "ĠRou nds", + "?,?, ?,?,", + "Ġin gl", + "Ġing l", + "Ġ ROC", + "ĠR OC", + "ĠRO C", + "_ female", + "_f emale", + "_fe male", + "ĠSt ard", + "ĠStar d", + "ĠSta rd", + "] ];", + "]] ;", + "Ġwrest lers", + "Ġwrestler s", + "Ġtorrent s", + "Ġs inh", + "Ġsi nh", + "Ġsin h", + " ĊĊ", + "Ċ Ċ", + "ë³ µ", + "s ense", + "sen se", + "how ever", + ". Physics", + ".Ph ysics", + "Inf rastructure", + "ĠS acr", + "ĠSa cr", + "ĠSac r", + "F el", + "Fe l", + "ĠD ISTRIBUT", + "é ments", + "ém ents", + "ément s", + "ĠValid ates", + "ĠValidate s", + "#### ########################################################", + "################################ ############################", + "############ ################################################", + "################################################ ############", + "############################ ################################", + "######################################################## ####", + "Ġ |/", + "Ġ| /", + "Ġe sl", + "Ġes l", + "Ġré seau", + "ĠB ip", + "ĠBi p", + "BY TES", + "BYTE S", + "_W ATER", + "T urning", + "Turn ing", + "Tur ning", + "E LS", + "EL S", + "Ġj uxtap", + "Ġlesb ische", + "ý ch", + "( Unknown", + "(Un known", + "N eo", + "Ne o", + "@ JsonProperty", + "@Json Property", + "Ġal umnos", + "Ġalum nos", + "Ġalumno s", + "ĠRaq qa", + "im ei", + "ime i", + ".get Bounds", + ".getB ounds", + ".Mouse EventHandler", + ".MouseEvent Handler", + "# ######", + "## #####", + "#### ###", + "### ####", + "##### ##", + "###### #", + "Generic Type", + "/ cms", + "/c ms", + "/cm s", + "Ġturn o", + "Ġtur no", + "Ġ мин", + "Ġм ин", + "Ġми н", + "Ġfolk lore", + "ĠE vo", + "ĠEv o", + "Ġconduct ivity", + "Ġle ben", + "Ġgear box", + "- vs", + "-v s", + "Ġ ÏĨ", + "ĠÏ Ĩ", + "Ġdrink ers", + "Ġ conexao", + "Ġcon exao", + "Ġconex ao", + "ĠTe eth", + "ĠTee th", + "Ġget Arguments", + "ĠR AT", + "ĠRA T", + "ent ious", + "enti ous", + "E duc", + "Ed uc", + "+ W", + "ĠInstitution al", + "ĠInstitut ional", + "ĠB ord", + "ĠBo rd", + "ĠBor d", + "is Equal", + "( pwd", + "(p wd", + "Ġign ited", + "Ġignite d", + "ĠR ousse", + "ĠRou sse", + "Ġimpact ful", + "ĠM alk", + "ĠMal k", + "ĠMa lk", + "Ġg eral", + "Ġge ral", + "Ġger al", + "ĠP ivot", + "Ġa zt", + "Ġaz t", + "Ġcsv file", + "ĠR ope", + "ĠRo pe", + "ĠS OLUTION", + "ĠSOL UTION", + "ĠAr bitrary", + "ĠArbit rary", + "Ġl etto", + "Ġlet to", + "Ġlett o", + ".Mouse Adapter", + "Ġ }}}", + "Ġ} }}", + "Ġ}} }", + "ĠSa ilor", + "ĠSail or", + "ĠSai lor", + "d era", + "de ra", + "der a", + "P utting", + "Put ting", + "Ġconcent rates", + "Ġconcentr ates", + "Ġconcentrate s", + "Ġauth Domain", + "âĢĿ çļĦ", + "-f inals", + "-final s", + "-fin als", + ", strlen", + ",str len", + ",st rlen", + "Mu on", + "ĠOrd inary", + "fire fox", + "ĠLa TeX", + "ĠH und", + "ĠHun d", + "ĠHu nd", + "engine ering", + "/ blue", + "/b lue", + "/bl ue", + "ed TextBox", + "(\" \");", + "(\"\" );", + "(\"\") ;", + "ĠC DDL", + "ĠCD DL", + "k ept", + "ke pt", + "Ġ GetString", + "ĠGet String", + "K ir", + "Ki r", + "() ='", + "ĠO CD", + "ĠOC D", + "ant ium", + "anti um", + "$ menu", + "$m enu", + "ĠAppalach ian", + "Secret ary", + "ë¥ ĺ", + "ี ย", + "Sem antic", + "Ġ *[", + "Ġ* [", + "e stone", + "es tone", + "est one", + "esto ne", + "ung kin", + "Max Y", + "- tone", + "-t one", + "-to ne", + "-ton e", + "\" };čĊ", + "\"} ;čĊ", + "_ Part", + "_P art", + "< Member", + "ĊĊ", + "'> ĊĊ", + "'>Ċ Ċ", + "L ic", + "Li c", + "ĠMir age", + "ĠMi rage", + "ĠAssembly FileVersion", + "Te V", + "ĠValue EventListener", + "-s olving", + "T ho", + "Th o", + "rou lette", + "_ WP", + "_W P", + "Ġunint errupted", + "Ġfield Type", + ". Typed", + ".T yped", + ".Type d", + "Ġa mour", + "Ġam our", + "Ġamo ur", + "Ġmock ery", + "Ġmocker y", + "( vol", + "(v ol", + "(vo l", + "ĠSub committee", + "ĠR uf", + "ĠRu f", + "e rox", + "er ox", + "ero x", + ":UIButtonType Custom", + "Ġ Blur", + "ĠBl ur", + "ĠBlu r", + "Ġwy kon", + "n ces", + "nc es", + "nce s", + "ASH BOARD", + "! !\");Ċ", + "!! \");Ċ", + "Ġmurder ers", + "Ġmurderer s", + ". daily", + ".d aily", + ".da ily", + "ĠDI AG", + "j ing", + "ji ng", + "jin g", + "Ġdol phin", + "Ġl òng", + "Ġb ö", + "ĠV ocabulary", + ".St Object", + "' )\">", + "') \">", + "')\" >", + "Ġz un", + "Ġzu n", + "Ġscrim mage", + "tr éal", + "ĠL ig", + "ĠLi g", + "[ vi", + "[v i", + "C ole", + "Col e", + "Co le", + "Ġfrost ing", + ". Players", + ".P layers", + ".Pl ayers", + ".Player s", + ".Play ers", + "- translate", + "-trans late", + "Fe els", + "Feel s", + "Fee ls", + "=\\\" /", + "=\\ \"/", + ".Butter Knife", + "Ġ? >;Ċ", + "Ġ?> ;Ċ", + "Ġ avi", + "Ġa vi", + "Ġav i", + "in nie", + "inn ie", + ". Failure", + ".F ailure", + ".Fail ure", + "Ġsp indle", + "Ġspin dle", + "Configuration Exception", + "_ hop", + "_h op", + "Ġpos ição", + "Ġposi ção", + "Ġ Await", + "ĠA wait", + "ĠAw ait", + "UIImage PickerController", + "ĉ day", + "ĉd ay", + "Ġge nom", + "Ġgen om", + "C ab", + "Ca b", + "ĠÑĢ езÑĥлÑĮÑĤаÑĤ", + "ĠÑĢезÑĥлÑĮÑĤ аÑĤ", + "OR IGINAL", + "Ġejac ulation", + "( tcp", + "(t cp", + "(tc p", + "SE COND", + "SEC OND", + "Ġt onic", + "Ġto nic", + "Ġton ic", + "Ġ ListBox", + "ĠList Box", + "Ġ ĉĉĊ", + "Ġĉ ĉĊ", + "Ġĉĉ Ċ", + "( )>Ċ", + "() >Ċ", + "()> Ċ", + "Ġqu atre", + "Ġquat re", + "Ġqua tre", + "ượ ng", + "with Errors", + ". Maybe", + ".M aybe", + ", âĢ¦", + "token Id", + "_UN DEF", + "Ġfresh ness", + "ĠAmendment s", + "ĠAmend ments", + ".map box", + ". CV", + ".C V", + "( blog", + "(b log", + "(bl og", + "_get time", + ". quest", + ".q uest", + ".qu est", + "s parse", + "sp arse", + "spar se", + "Ġre sale", + "Ġres ale", + "Ġenthusi astically", + "Ġenthusiastic ally", + "Ġenthusiast ically", + "ĠProstit utas", + "W a", + "C argo", + "Car go", + ". Parcelable", + ".Parcel able", + "S ENSOR", + "SEN SOR", + "SENS OR", + "ĠR yu", + "ĠRy u", + "La ughs", + "Laugh s", + "_ Native", + "_N ative", + "/ pg", + "/p g", + "y sts", + "yst s", + "ys ts", + "Ġphot oc", + "Ġphoto c", + "ç® Ģ", + "ad opt", + "ado pt", + ". species", + ".s pecies", + ".sp ecies", + ".spec ies", + "conc iliation", + "Adjust ed", + "Adj usted", + ".Firebase Auth", + "ut tle", + "utt le", + "ord ination", + "ordin ation", + "Ġm unch", + "Ġmun ch", + "ĠS take", + "ĠSt ake", + "ĠSta ke", + ". ping", + ".p ing", + ".pi ng", + ".pin g", + "an ker", + "ank er", + "anke r", + "(QString Literal", + "Ġsub script", + "Ġsubs cript", + "Ġsubscri pt", + "Ġ ĠĉĊ", + "ĠĠ ĉĊ", + "ĠĠĉ Ċ", + "ĠM CC", + "ĠMC C", + "_ Cmd", + "_C md", + "se xy", + "sex y", + "i ou", + "io u", + "ĠM ANY", + "ĠMA NY", + "ĠMAN Y", + "Ġn anny", + "Ġnan ny", + "T RAIN", + "TR AIN", + "TRA IN", + "Ġflour ishing", + "Ġflourish ing", + "ĠW atches", + "ĠWatch es", + "ĠWat ches", + "ĠQ Map", + "ĠF erm", + "ĠFe rm", + "ĠFer m", + "Ġw asm", + "Ġwas m", + "Ġwa sm", + "ĠA bed", + "ĠAb ed", + "ĠAbe d", + "_ UD", + "_U D", + "ĠG lasses", + "ĠGl asses", + "ĠGlass es", + "ĠGlas ses", + "+ v", + "Att end", + ". Chain", + ".Ch ain", + "Ġdec ency", + "Ġdece ncy", + "ĠSup plementary", + "ĠSupplement ary", + "h unter", + "hunt er", + "- txt", + "-t xt", + "Ġ\" }\";Ċ", + "Ġ\"} \";Ċ", + ".set WindowTitle", + "( \"", + "Ġmasc ara", + "( Profile", + "åĬ Łèĥ½", + "åĬŁ èĥ½", + "im ité", + "imit é", + "imi té", + "Ġwild fires", + "Ġwildfire s", + "- ROM", + "-R OM", + ".is On", + "( groupId", + "(group Id", + "Re pair", + "Rep air", + "accum ulate", + "Ġ< \",", + "Ġhand written", + "Ġach eter", + "Ġache ter", + "ĠM GM", + "ĠMG M", + "ĠIr ma", + "-> {_", + "->{ _", + "g ee", + "ge e", + "c riminal", + "cr iminal", + "Ġèĭ¥ è¦ģ", + "Ġmoment arily", + "\" )!=", + "\") !=", + "_ lit", + "_l it", + "_li t", + "Ġexpires In", + ". \").", + ".\" ).", + ".\") .", + "éķ¿ 度", + "Ġfr ække", + "v lc", + "vl c", + "Ġor bs", + "Ġorb s", + ") ,$", + "), $", + "Ġvent ured", + "Ġventure d", + "/ >\\", + "/> \\", + "ch arm", + "char m", + "cha rm", + "N uitka", + "el dig", + "eld ig", + "ato nin", + "aton in", + "W itness", + "- lat", + "-l at", + "-la t", + "Ġset Hidden", + "Ġrel ics", + "Ġreli cs", + "Ġrelic s", + "Ġcons ulate", + "Ġconsul ate", + ". IGNORE", + "\" After", + "\"A fter", + "Ġs etAddress", + "Ġset Address", + "Ġbeste ht", + "Ġ' ')ĊĊ", + "Ġ'' )ĊĊ", + "Ġ'') ĊĊ", + "Ġ'')Ċ Ċ", + ".x axis", + "Ġser ão", + "Ġmis led", + "Ġmi sled", + "_UN IFORM", + "ĠV IA", + "ĠVI A", + "in cr", + "inc r", + "Ġzen ith", + "Ġvis cosity", + "Ġvisc osity", + "Ġthin ly", + ".get SharedPreferences", + ". ErrorCode", + ".Error Code", + "\" ),\"", + "\") ,\"", + "\"), \"", + "ĠMillion en", + "ĠMilli onen", + "Ġ/ >)Ċ", + "Ġ/> )Ċ", + "Scroll Indicator", + "-se eking", + "ĠPOLIT ICO", + "as ca", + "asc a", + "_ rl", + "_r l", + "N avig", + "Nav ig", + "Na vig", + "(full file", + "Ġsol itude", + "Ġ juven", + "Ġju ven", + "Ġha uling", + "Ġhaul ing", + "ĠMac ros", + "ĠMacro s", + "ĠG ry", + "ĠGr y", + "Ġexerc itation", + "ĠATT ACK", + "Tick Count", + "Ġ rites", + "Ġr ites", + "Ġrit es", + "Ġri tes", + "Ġd oe", + "Ġdo e", + "Particle System", + "Ġ slu", + "Ġs lu", + "Ġsl u", + "Window Text", + "Ġ ClassName", + "ĠClass Name", + "Ġs lander", + "Ġsl ander", + "Ġsla nder", + "ĉ Port", + "ĉP ort", + "j ong", + "jo ng", + "jon g", + "? a", + ".D ial", + ".Di al", + "âĢĶ at", + "âĢĶa t", + "$ objPHPExcel", + "$obj PHPExcel", + "Ġso ar", + "E NN", + "EN N", + "appe ared", + "appear ed", + "Ġquot id", + "Ġquo tid", + "e machine", + "em achine", + "ema chine", + "Ġ nip", + "Ġn ip", + "Ġni p", + "Ġmicro time", + "ĠAl ma", + "; !", + "---------------- --------------------------------------------------------------------------------", + "-------------------------------- ----------------------------------------------------------------", + "---------------------------------------------------------------- --------------------------------", + "------------------------------------------------ ------------------------------------------------", + "---------------------------------------------------------------------------- --------------------", + "-------------------------------------------------------------------------------- ----------------", + "-------------------- ----------------------------------------------------------------------------", + "ĠP assage", + "ĠPass age", + "ĠPas sage", + "Ġdump sters", + "Ġdumpster s", + "Ġdumps ters", + "Ġ Exclude", + "ĠEx clude", + "ĠExc lude", + "Ġsuggest ive", + "ĠCircularProgress Indicator", + "_ clr", + "_c lr", + "_cl r", + "Array Type", + "IL LA", + "ILL A", + "Elapsed Time", + "Dr iven", + "Drive n", + "Ġresource Name", + "ĠG arrison", + "ĠGarr ison", + "se rir", + "ser ir", + "- ahead", + "-a head", + "Ġp innacle", + "ĠEs presso", + "S parse", + "Sp arse", + "Ġas says", + "Ġass ays", + "Ġassay s", + "ĠGirl friend", + "i mid", + "im id", + "imi d", + "] ='\\", + "]= '\\", + "]=' \\", + "ONG LONG", + "ONGL ONG", + "Ġportray ing", + "L ane", + "La ne", + "Ġb úsqueda", + "Ġrein forcements", + "Ġreinforce ments", + "Ġreinforcement s", + "ĠSpread sheet", + "ĠArray Collection", + ", arr", + ",a rr", + "light box", + "ic ana", + "ica na", + "ican a", + "< \"", + "build ers", + "builder s", + "K id", + "Ki d", + "ĠMat SnackBar", + "EX PR", + "EXP R", + "od cast", + "ĠFoundation s", + "ĠFound ations", + "Ġ inds", + "Ġin ds", + "Ġi nds", + "Ġind s", + "=' ${", + "='$ {", + "F izz", + "Fi zz", + "- functional", + "-function al", + "( workspace", + "(work space", + "Ġstem med", + "_ patches", + "_p atches", + "_patch es", + "_pat ches", + "ĠJar vis", + "RE ADING", + "READ ING", + "Ġdisrespect ful", + "ĠQ Dom", + "Ġ$ {Ċ", + "Ġ${ Ċ", + "e status", + "es tatus", + "est atus", + "Re ached", + "Reach ed", + "! .ĊĊ", + "!. ĊĊ", + "I LT", + "IL T", + "ĠN DEBUG", + "ĠC ourage", + "ĠCour age", + "ĠCou rage", + "birth date", + "ĠT ing", + "ĠTi ng", + "ĠTin g", + "Ġutil izado", + "Ġutiliz ado", + "Ġutiliza do", + "án chez", + "Out door", + "Ġhand guns", + "Ġhandgun s", + "Ref Count", + "É Ļ", + "r omo", + "ro mo", + "rom o", + "Ġt ts", + "Ġtt s", + ". She", + ".S he", + ".Sh e", + "Ġ Pane", + "ĠP ane", + "ĠPan e", + "ĠPa ne", + "ãĢij, ãĢIJ", + "ĠIO CTL", + "ĠIOC TL", + "/ black", + "/b lack", + "/bl ack", + "in scription", + "ins cription", + "Ġbi opsy", + "Ġbio psy", + "Ġ TimeInterval", + "ĠT imeInterval", + "ĠTime Interval", + ".Test Check", + "ĠGUI Style", + "Ġ Capability", + "ĠCap ability", + "ĠBei trag", + "ĠBeit rag", + "don nees", + "T reatment", + ". backup", + ".back up", + "Ġsign ings", + "Ġsig nings", + "Ġsigning s", + "Ġsignin gs", + "ĠB oca", + "ĠBo ca", + "d rm", + "dr m", + ". MAIN", + ".M AIN", + "Ġgo ede", + "Ġgoed e", + "Ġ Markup", + "ĠMar kup", + "ĠMark up", + "G REE", + "GR EE", + "GRE E", + "ĠBase Service", + ". Creator", + ".C reator", + "Ġj ails", + "Ġja ils", + "Ġjail s", + "ĠK ahn", + "ĠKa hn", + "ĠKah n", + "Ip Address", + "AC HI", + "ACH I", + "Ġin hibited", + "Ġinhib ited", + "Ġinhibit ed", + "Ġ@ $_", + "Ġ@$ _", + "ĠAs sass", + "ĠAss ass", + "Ġenv iado", + "Ġenvi ado", + "Her oes", + "Hero es", + "ÐŁ еÑĢ", + "ĠM aven", + "ĠMa ven", + ". ls", + ".l s", + "Ġ ive", + "Ġi ve", + "Ġiv e", + "| RF", + "|R F", + "Ġresize Mode", + "Ġrum pe", + "_ attachments", + "_attach ments", + "_attachment s", + "T U", + "Ġtact ile", + "Ġtac tile", + "Attempt ing", + "Ġro bin", + "Ġrob in", + "y aw", + "ya w", + "Ġmerc enaries", + "ĠHab itat", + "ĠHabit at", + "end date", + "Ġ oxy", + "Ġo xy", + "Ġox y", + "ĉ Random", + "ĉR andom", + "o hon", + "oh on", + "oho n", + "Is Null", + "ĠValidation Result", + "ãĥ ļ", + "um bed", + "umb ed", + "p pv", + "pp v", + "Ġ arp", + "Ġa rp", + "Ġar p", + "ich ick", + "ichi ck", + "_r nn", + "ĠT FT", + "ĠTF T", + "Tex Image", + "\" On", + "Ġ Sampler", + "ĠS ampler", + "ĠSam pler", + "ĠSample r", + "ĠSamp ler", + "t opl", + "to pl", + "top l", + "Ġj ane", + "Ġja ne", + "Ġjan e", + "y ling", + "yl ing", + "ĠUN ICODE", + "Tab Index", + "< {Ċ", + "<{ Ċ", + "s uspend", + "sus pend", + "uv ian", + ", application", + "ол иÑĩеÑģÑĤво", + "y at", + "ya t", + "e zier", + "ez ier", + "ezi er", + "ĠCH UNK", + "ĠAd ler", + "/ Add", + "/A dd", + "Ġ KeyValue", + "ĠKey Value", + "Ġspos ób", + "S ampling", + "Sam pling", + "ch ers", + "che rs", + "cher s", + "_ AMD", + "_A MD", + "_AM D", + "R u", + ".Must Compile", + "N ation", + "Na tion", + "Nat ion", + "As soc", + "Ass oc", + "Man aging", + "Mana ging", + "ĠEn gl", + "ĠEng l", + "_ GB", + "_G B", + "Ġsucc inct", + "Ġdis liked", + "Ġdislike d", + "ĠI ke", + "ĠIk e", + "Bullet in", + "_ARCH IVE", + "Pro posal", + "Prop osal", + "Ġjog ging", + ".C REATED", + ".CREATE D", + "Ġc hol", + "Ġch ol", + "Ġcho l", + "è£ ħ", + "Į ¨", + "- push", + "-p ush", + "Ġres erva", + "Ġreserv a", + "co rev", + "core v", + "cor ev", + "è tre", + "T HR", + "TH R", + "Ġincompet ence", + "Ġchar isma", + "æĦ Ł", + "Ġ\" ==", + "Ġ\"= =", + "B TN", + "BT N", + "Ġ Locator", + "ĠL ocator", + "ĠLoc ator", + "i vet", + "iv et", + "ive t", + "(' .')Ċ", + "('. ')Ċ", + "('.') Ċ", + "('.' )Ċ", + "Ġfor IndexPath", + "ô me", + "ôm e", + "Ġcapac it", + "w aters", + "wa ters", + "water s", + "wat ers", + "ĠWR ONG", + "h oa", + "ho a", + "ĠM IPS", + "ĠMI PS", + "Ġe miss", + "Ġem iss", + "ĠJacqu eline", + "( cmp", + "(c mp", + "(cm p", + "Ġe ens", + "Ġeen s", + "Ġee ns", + "L eo", + "Le o", + ". timing", + ".t iming", + ".tim ing", + "CLU SION", + "CLUS ION", + "Ġ (\"-", + "Ġ( \"-", + "Ġ(\" -", + "åĵ Ī", + ". kode", + ".k ode", + "ĠUnder t", + "ĠUnd ert", + "Ġbe wild", + "Ġbew ild", + "ĠEs sen", + "ĠEss en", + ". hd", + ".h d", + "Ġren egot", + "Ġm ower", + "Ġmo wer", + "Ġl sp", + "Ġls p", + "Ġpen chant", + "Ġman oe", + "Ġmano e", + "Ġ agli", + "Ġa gli", + "Ġag li", + "Ġre cal", + "Ġr ecal", + "Ġrec al", + "ĠOPER ATION", + "(^ )(", + "Ġ ν", + "ĠÎ ½", + "Ġ Scoped", + "ĠSc oped", + "ĠScope d", + "ĠSco ped", + "Ġ @\"Ċ", + "Ġ@ \"Ċ", + "Ġ@\" Ċ", + "= label", + "=l abel", + "[ loc", + "[l oc", + "I ntl", + "In tl", + "Int l", + "ĠN z", + "table t", + "tab let", + "tabl et", + ". ColumnName", + ".Column Name", + "Ġscreen Size", + "D Bus", + "DB us", + "co oked", + "cook ed", + "- registration", + "-reg istration", + "âĢľ One", + "- non", + "-n on", + "-no n", + "ĠwiÄĻ c", + "Ġc osta", + "Ġco sta", + "Ġcost a", + "Ġcos ta", + ".add Tab", + ". conditions", + ".condition s", + ".cond itions", + "ĠH ess", + "ĠHe ss", + "MEM ORY", + "ĠAval anche", + "() }}Ċ", + "()} }Ċ", + "Ġtri plet", + "Ġtrip let", + "Ġtriple t", + "Ġl abyrinth", + "ĠNode List", + "ĠN YT", + "ĠNY T", + "Ġy eni", + "Ġye ni", + "Ġyen i", + "d ff", + "df f", + ".Html Controls", + "A VIS", + "AV IS", + "/ Math", + "/M ath", + "Ġ memcmp", + "Ġmem cmp", + "ا Ø¡", + "Ø§Ø ¡", + "о ÑģÑĮ", + "оÑģ ÑĮ", + "c rap", + "cr ap", + "( pages", + "(p ages", + "(page s", + "(pa ges", + "Ġl xml", + "Ġlx ml", + "ĠQ DateTime", + "_t cb", + "_tc b", + "Ġ openid", + "Ġopen id", + "Ġsyn aptic", + "ĠM DMA", + "ĠMD MA", + "( slug", + "(s lug", + "(sl ug", + "ig matic", + "igma tic", + "igm atic", + "igmat ic", + "e nor", + "en or", + "eno r", + "Ġcr amped", + "Ġcram ped", + "G OP", + "GO P", + "Ń IJ", + ".is File", + "ĠD ifferential", + "ĠDifferent ial", + "Ġ =\"\";Ċ", + "Ġ=\" \";Ċ", + "ĉ ĉĉĠĠĠĠĉ", + "ĉĉ ĉĠĠĠĠĉ", + "ĉĉĉ ĠĠĠĠĉ", + "ĉĉĉĠĠĠ Ġĉ", + "ĉĉĉĠ ĠĠĠĉ", + "ĉĉĉĠĠ ĠĠĉ", + "ĉĉĉĠĠĠĠ ĉ", + "ĠC ooke", + "ĠCo oke", + "ĠCook e", + "ĉU FUNCTION", + "Ġpersever ance", + "Relative Layout", + "IMPORT ANT", + "Ġe xon", + "Ġex on", + "Ġ он", + "Ġо н", + "i base", + "ib ase", + "iba se", + "( CONT", + "(C ONT", + "(CON T", + "n ovation", + "no vation", + "nov ation", + "nova tion", + "ä½ ķ", + "[ sub", + "[s ub", + "Admin Controller", + "HTTP Header", + "c rear", + "cre ar", + "cr ear", + "ĠN IR", + "ĠNI R", + "ĠDrop DownList", + "Ġval ide", + "Ġvalid e", + "Ġva lide", + "Ġde hydration", + ". ']", + ".' ]", + "( WIN", + "(W IN", + "Ġ ...\\", + "Ġ. ..\\", + "Ġ... \\", + "Ġ.. .\\", + "Ġphoto shop", + "Ġphotos hop", + "ĉ Init", + "ĉI nit", + "ĉIn it", + "_ cou", + "_c ou", + "_co u", + "Ġtime Zone", + "dar win", + "r omatic", + "ro matic", + "rom atic", + "roma tic", + "Navigation ItemSelectedListener", + "b rates", + "br ates", + "bra tes", + "brate s", + "] --;Ċ", + "Ġtraged ies", + "ĠPed iatrics", + "ĠPediatric s", + "SM ART", + "- API", + "-A PI", + "ĠMessage Lookup", + "ĉ vo", + "ĉv o", + "Ġprejud ices", + "Ġprejudice s", + "Ġ mA", + "Ġm A", + "U ps", + "Up s", + "ĠMISS ING", + "ĉ ad", + "ĉa d", + "C ream", + "Cre am", + "Cr eam", + "ĠT b", + "ĠM ona", + "ĠMon a", + "ĠMo na", + "_ ghost", + "_g host", + "ĉ types", + "ĉt ypes", + "ĉtype s", + "ĉtyp es", + "E mb", + "Em b", + "ĠDocument ary", + "' );ĊĊĊĊ", + "') ;ĊĊĊĊ", + "');Ċ ĊĊĊ", + "');ĊĊ ĊĊ", + "'); ĊĊĊĊ", + "');ĊĊĊ Ċ", + "Ġl up", + "Ġlu p", + "_ Reference", + "_Re ference", + "_Ref erence", + "ĠB ATCH", + "ĠBAT CH", + "Ġintertw ined", + "< Cell", + "", + "Ġf oyer", + "Ġfo yer", + "'util isation", + "ĠMü ller", + "ĠFet ish", + "Ġdefault Manager", + "Ġback track", + "B ah", + "Ba h", + "Exp licit", + "Expl icit", + "_ ASCII", + "_A SCII", + "_ASC II", + "Ġm Activity", + "( Msg", + "(M sg", + "Ġ ê²Į", + "Ġê² Į", + "ĠTER MS", + "ĠTERM S", + "ĠAn gie", + "ĠAng ie", + "H SV", + "HS V", + "ĠMos que", + ". Names", + ".N ames", + ".Name s", + "íĬ ¼", + "r este", + "re ste", + "res te", + "rest e", + "_ parms", + "_p arms", + "_par ms", + "_pa rms", + "_parm s", + "Ġg aping", + "Ġgap ing", + "Ġga ping", + "Ġc ropping", + "Ġcr opping", + "Ġcro pping", + "Ġcrop ping", + "Data Frame", + "Ġrespons iveness", + "Ġresponsive ness", + "_ undo", + "_un do", + "_u ndo", + "_ tran", + "_t ran", + "_tr an", + "_tra n", + ". terminate", + ".term inate", + "Ġitalian e", + "Ġitalia ne", + "Ġwalk through", + "Ġattract iveness", + "Ġattractive ness", + "д е", + "_ STS", + "_S TS", + "_ST S", + "_ learn", + "_l earn", + "_le arn", + "Ġchocolate s", + "Ġchocol ates", + "ier archical", + "- thinking", + "-th inking", + "Ġ )))", + "Ġ) ))", + "Ġ)) )", + "ish ments", + "ishment s", + ".Log f", + ".Lo gf", + "ĠT MZ", + "ĠTM Z", + "ĠCan ary", + "f oil", + "fo il", + "ĠV accine", + "ĠVacc ine", + ". vx", + ".v x", + "ĠSur round", + "Inter mediate", + "Ġ iov", + "Ġi ov", + "Ġio v", + "v ais", + "va is", + "' ;\";Ċ", + "'; \";Ċ", + "ï½ŀ ĊĊ", + "éĢģ æĸĻ", + "âĢ¦ it", + "Se ats", + "Sea ts", + "Seat s", + "C lar", + "Cl ar", + "Cla r", + "W ars", + "War s", + "Wa rs", + "ĠHutch inson", + "ĠH asan", + "ĠHas an", + "ĠHa san", + "! ')ĊĊ", + "!' )ĊĊ", + "!')Ċ Ċ", + "ĠRich ie", + "ĠRi chie", + "che iden", + "cheid en", + "( $('", + "($ ('", + "($( '", + "Y ork", + "Yo rk", + "Ġl ids", + "Ġli ds", + "Ġlid s", + "Ġal phanumeric", + "Ġalpha numeric", + "ĠG lock", + "ĠGl ock", + "ĠGlo ck", + ". shapes", + ".sh apes", + ".shape s", + ".sha pes", + "Ġsp arking", + "Ġspark ing", + "Ġspar king", + "_ epsilon", + "_e psilon", + "_eps ilon", + "up licated", + "uplic ated", + "uplicate d", + ". dirty", + ".d irty", + ".dir ty", + "] )==", + "]) ==", + "ĠìľĦ ì¹ĺ", + "Ġs cn", + "Ġsc n", + "Ġ /****************************************************************", + "Ġ/ ****************************************************************", + "_PRE VIEW", + "_ HC", + "_H C", + "ield ing", + "iel ding", + "f gets", + "fg ets", + "ĠAdd ison", + "Ġproduct Service", + "- figure", + "-f igure", + "( retval", + "(ret val", + "z ano", + "za no", + "zan o", + "Ġaut ob", + "Ġauto b", + "ĉ sd", + "ĉs d", + "_ numer", + "_n umer", + "_num er", + "ĠSet LastError", + "ĠF ior", + "ĠFi or", + "ific ance", + "ifica nce", + "Unt itled", + "Ġin field", + "Ġinf ield", + "Ġ{ }));Ċ", + "Ġ{} ));Ċ", + "Ġ{}) );Ċ", + "Ġs pac", + "Ġsp ac", + "Ġspa c", + "Ġr ookies", + "Ġro okies", + "Ġrookie s", + "(des cribing", + "n gen", + "ng en", + "nge n", + "ி à®", + ". rdf", + ".r df", + ".rd f", + ". Mutex", + ".M utex", + "Ġkne eling", + "Ġknee ling", + "Ġ QE", + "ĠQ E", + "set Max", + "Read Stream", + "Ġ ventas", + "Ġvent as", + "Ġven tas", + "Ġventa s", + "s ut", + "su t", + "cm peq", + "cmp eq", + ".WriteAll Text", + "ĠEx perienced", + "ĠExperience d", + "$ __", + "$_ _", + "Ġka um", + "ĠL IS", + "ĠLI S", + "Ġdocument os", + "Ġdocumento s", + "_HE ALTH", + "i contains", + "icon tains", + "icont ains", + "Ġart isans", + "Ġartisan s", + "OW NER", + "OWN ER", + "Ġb linked", + "Ġblink ed", + "get Display", + "Ġt oen", + "Ġto en", + "Ġtoe n", + "Ġrow Num", + "Ġav ril", + "Ġin vis", + "Ġinv is", + "ĠK ear", + "ĠKe ar", + "toBe InTheDocument", + "a pur", + "ap ur", + "Ġr acked", + "Ġrac ked", + "Ġrack ed", + "ĠMc Master", + "ĠMcM aster", + "_ATTR IB", + "H az", + "Ha z", + "Ġfact ura", + "Ġfac tura", + "/ ts", + "/t s", + "ĠÑĢаз меÑĢ", + "ĠÑĢазм еÑĢ", + "Ġ zf", + "Ġz f", + "Ġshort fall", + ". fasta", + ".f asta", + ".fast a", + ".fa sta", + "ĠCONST ANT", + ". managed", + ".man aged", + ".manage d", + "g ems", + "ge ms", + "gem s", + "Shared Pointer", + "Ġbl urry", + "Ġblur ry", + "b rightness", + "bright ness", + "( components", + "(com ponents", + "(component s", + "(comp onents", + "Ġ ...\"ĊĊ", + "Ġ... \"ĊĊ", + "Ġ.. .\"ĊĊ", + "Ġ...\" ĊĊ", + "Ġ...\"Ċ Ċ", + "S ELL", + "SE LL", + "SEL L", + "ĠIllustr ator", + ".get Channel", + "Ġtrou vé", + "y sters", + "yst ers", + "ys ters", + "yster s", + "Ġv ois", + "Ġvo is", + "Ġvoi s", + "ĠL inden", + "ĠLin den", + "ĠLind en", + "Ġem ojis", + "Ġemoji s", + "Ġemo jis", + "Ġb rawl", + "Ġbr awl", + "Ġbra wl", + "ĠM SR", + "ĠMS R", + "ĠE lo", + "ĠEl o", + "ĠCroat ian", + "ĠCroatia n", + "Popup Menu", + "L ewis", + "Le wis", + ". JWT", + ".J WT", + "Ġaston ished", + "B ush", + "Bus h", + "Bu sh", + "( itemId", + "(item Id", + "Ġdet achment", + "Ġdetach ment", + "ĠEn core", + "ĠEnc ore", + "å° Ķ", + "Ġre kl", + "Ġr ekl", + "Ġrek l", + "Ġc ram", + "Ġcr am", + "Ġcra m", + ") $/", + ")$ /", + ".get Host", + "_ recommend", + "_re commend", + "- HT", + "-H T", + "_cal ibration", + "Auth enticate", + ".firebase app", + "UN IX", + "ĉ Camera", + "ĉC amera", + "ĠHE AP", + "I deal", + "Ide al", + ". office", + ".off ice", + "Ġgoof y", + "Ġgoo fy", + "( Symbol", + "(S ymbol", + "Ġjo uer", + "Ġjou er", + "_part itions", + "_partition s", + "Ġrapid ement", + "Ġrapide ment", + "ĠGNU NET", + "ĠGN UNET", + "id User", + "Ġsuper vise", + "Ġsuperv ise", + "( Contact", + "A WN", + "AW N", + "ãģ ĺ", + "Ġna am", + "Ġa ust", + "Ġau st", + "Ġaus t", + "åľ¨ 线", + "_ softmax", + "_soft max", + "Allow Anonymous", + "amm able", + "amma ble", + "RO UTE", + "ROUT E", + "* D", + "Ġ aden", + "Ġa den", + "Ġad en", + "Ġade n", + "ĠCrist ina", + "ĠCrist iano", + "Ġblood stream", + "sub class", + "_ persona", + "_person a", + "CH ILD", + "- know", + "-k now", + "Ġnavigation Options", + "ĠZuk unft", + "ĠPix ar", + "Ty ler", + "Ġunder world", + "Ġsincer ity", + "Ġdisp enser", + "Ġdispens er", + "Ġk ter", + "Ġkt er", + "id ders", + "idd ers", + ".add Node", + "- checked", + "-check ed", + "Ġkey st", + "Ġke yst", + "Ġkeys t", + "ĠW TO", + "ĠWT O", + ". signals", + ".sign als", + ".signal s", + "Ġadvent urer", + "Ġadventure r", + "ĠP ang", + "ĠPan g", + "ĠPa ng", + "\\ R", + "= pos", + "=p os", + "Ġdispens aries", + "ĠClose t", + "ĠClo set", + "(\" {\\\"", + "(\"{ \\\"", + "id eon", + "ide on", + "ideo n", + "Ġnécess aire", + "( )\"Ċ", + "() \"Ċ", + "()\" Ċ", + "_RECE IVED", + "Ġrésult ats", + "Ġm oden", + "Ġmod en", + "Ġmode n", + "Ġmo den", + "ĠIceland ic", + "; d", + ". allowed", + ".all owed", + ".allow ed", + "(new User", + "Ġmerc iless", + ".Wait For", + "Ġday care", + "ĠCon veyor", + "Ġ Ù", + "ا Ù", + "า à¸", + "Ñ Ł", + "ÑŁ ÑŁ", + "Ġ à¸", + "Ġà ¸", + "à¹Ģ à¸", + "i á»", + "ãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢ", + "Ġ اØ", + "Ġا Ø", + "ॠĪ", + "Ġ ãĢĢ", + "ĠãĢ Ģ", + "Ñ Ĺ", + "i á»ĩ", + "iá» ĩ", + "ÑŁ ÑŁÑŁÑŁ", + "ÑŁÑŁ ÑŁÑŁ", + "ÑŁÑŁÑŁ ÑŁ", + "à¥ĩ à¤Ĥ", + "à¥ĩठĤ", + "Ñĸ д", + "ा र", + "ाठ°", + "ÙĨ د", + "Ñĸ в", + "Ġ ब", + "Ġठ¬", + "Ġ à¤ľ", + "Ġठľ", + "à ¥¤", + "ॠ¤", + "н Ñĸ", + "ठĹ", + "Ġ Ø¢", + "ĠØ ¢", + "Ġ न", + "Ġठ¨", + "Ñ Ķ", + "Ġ ÑĢа", + "ĠÑĢ а", + "Ġ à¤ħ", + "Ġठħ", + "Ñģ ÑĮ", + "Ġ व", + "Ġठµ", + "ÑĨ Ñĸ", + "Ġv á»", + "³ ت", + "Ġ द", + "Ġठ¦", + "n ÄĽ", + "Ġ ल", + "Ġठ²", + "Ġ ãĢĢĠãĢĢ", + "ĠãĢĢ ĠãĢĢ", + "ĠãĢĢĠ ãĢĢ", + "ॠĤ", + "ठ¦", + "à¸Ń à¸ĩ", + "ÙĪ ÙĨ", + "ठµ", + "a ÅŁ", + "๠Ĥ", + "ι κ", + "Ġ र", + "Ġठ°", + "Ġ ви", + "Ġв и", + "à¥į य", + "à¥įठ¯", + "ा न", + "ाठ¨", + "Ġ از", + "Ġا ز", + "ĠØ§Ø ²", + "ا Ùĩ", + "ا٠ĩ", + "Ľ i", + "Ġh á»", + "à¥ĭ à¤Ĥ", + "i ế", + "ĠÄij á»", + "ठ¯", + "Ï į", + "Ġc ủ", + "Ġ بر", + "Ġب ر", + "Ġ ÙħÛĮ", + "ĠÙħ ÛĮ", + "Ġ اÛĮ", + "Ġا ÛĮ", + "Ġ à¤Ĩ", + "ĠठĨ", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ि य", + "िठ¯", + "ÑŁÑŁÑŁÑŁ ÑŁÑŁÑŁÑŁ", + "в и", + "ر د", + "н Ñĥ", + "ÙĬ ÙĨ", + "ι α", + "Ġ त", + "Ġठ¤", + "Ñĩ и", + "Ġ à¤ķर", + "Ġà¤ķ र", + "ا ز", + "Ø§Ø ²", + "a ÄŁ", + "Ġ à¤ī", + "Ġठī", + "ठ¬", + "ÏĦ α", + "ت ر", + "Ùĩ ا", + "ร ะ", + "j ÃŃ", + "Î ij", + "а ÑĤи", + "аÑĤ и", + "Ġ à¤Ĺ", + "ĠठĹ", + "Ġ ÑĤа", + "ĠÑĤ а", + "Ú Ĩ", + "ठľ", + "า à¸Ļ", + "าภĻ", + "Ġ à¤Ń", + "ĠठŃ", + "ि à¤ķ", + "िठķ", + "á v", + "Ġ Ú¯", + "Ï İ", + "า ย", + "าภ¢", + "Ġ à¤Ķ", + "ĠठĶ", + "ÅĻ ÃŃ", + "ا ÙĪ", + "ا٠Ī", + "Ġ Ñī", + "ĠÑ ī", + "Ġ à¤Ķर", + "Ġà¤Ķ र", + "ен нÑı", + "Ġ Ú©Ùĩ", + "ĠÚ© Ùĩ", + "ठ¡", + "ÏĦ ο", + "ε ι", + "Ġ à¤ĩ", + "Ġठĩ", + "à¥į त", + "à¥įठ¤", + "ठŁ", + "Û ±", + "Ġ ØĮ", + "ĠØ Į", + "Ïģ ο", + "η ÏĤ", + "ë ¬", + "Ñĸ н", + "i á»ģ", + "iá» ģ", + "i ên", + "iê n", + "Ġ вÑĸд", + "Ġв Ñĸд", + "ĠвÑĸ д", + "d ı", + "ÙĦ ÛĮ", + "Ġ ز", + "ĠØ ²", + "Ïģ α", + "Ġ ÛĮ", + "า à¸ĩ", + "าภĩ", + "Ġth á»", + "Ġ à¹Ģà¸", + "Ġà¹Ģ à¸", + "i á»ĩn", + "iá»ĩ n", + "ا ÙĬ", + "ا٠Ĭ", + "ан нÑı", + "ÑĢ е", + "Î Ł", + "å Ĵ", + "ا Ø´", + "Ø§Ø ´", + "ा ल", + "ाठ²", + "ëħ Ħ", + "Ġ य", + "Ġठ¯", + "Ġ را", + "Ġر ا", + "ठ¼", + "Ñĥ в", + "ÙĪ Ùħ", + "Ġ عÙĦ", + "Ġع ÙĦ", + "ί α", + "à¥Ī à¤Ĥ", + "à¥ģ à¤", + "า ม", + "าภ¡", + "Ġm á»Ļt", + "Ġ à¤ı", + "Ġठı", + "ãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢ", + "Ġ पर", + "Ġप र", + "Ġ اÙĨ", + "Ġا ÙĨ", + "Ġ اÛĮÙĨ", + "Ġا ÛĮÙĨ", + "ĠاÛĮ ÙĨ", + "Ġv Ỽi", + "Ġvá» Ľi", + "Î £", + "ठļ", + "Û °", + "i á»ĥ", + "iá» ĥ", + "า à¸ģ", + "าภģ", + "Î Ļ", + "ا ع", + "Ø§Ø ¹", + "Ñĸ й", + "à¹ģ ล", + "Ùĩ اÛĮ", + "Ùĩا ÛĮ", + "Ñĩ а", + ". :.:", + ".: .:", + ".:. :", + "ÏĦ η", + "Ġ Îij", + "ĠÎ ij", + "ر ÛĮ", + "Ġn gh", + "Ġng h", + "ν α", + "à¹ĥ à¸Ļ", + "ि त", + "िठ¤", + "Ġ και", + "Ġκ αι", + "Ġκα ι", + "ÏĦ ε", + "à¥į à¤Ł", + "à¥įठŁ", + "μ α", + "л Ñĥ", + "ý m", + "ÏĢ ο", + "à¥Ī ।", + "ï¼ ¼", + "ر ÙĬ", + "н иÑħ", + "ни Ñħ", + "Ïģ ι", + "Ù Ģ", + "ÑĢ о", + "Ġ à¤ļ", + "Ġठļ", + "ा त", + "ाठ¤", + "ا ÙĤ", + "ا٠Ĥ", + "Ġ श", + "Ġठ¶", + "ĠÄij á»Ļ", + "ĠÄijá» Ļ", + "é ho", + "iá»ģ u", + "ภ¨", + "Ñĸ лÑĮ", + "Ñĸл ÑĮ", + "uy á»", + "Û ²", + "Ġn Äĥ", + "Ïī ν", + "Ġ ÏĦοÏħ", + "ĠÏĦ οÏħ", + "ĠÏĦο Ïħ", + "к ий", + "ки й", + "í ĸ", + "Ġ Ñīо", + "ĠÑī о", + "à¥į व", + "à¥įठµ", + "Ġ اÙĦØ£", + "ĠاÙĦ Ø£", + "ا ئ", + "Ø§Ø ¦", + "t ı", + "Ġ ÏĦο", + "ĠÏĦ ο", + "¬ ¬", + "Ġ Ø·", + "ĠØ ·", + "Ùħ اÙĨ", + "Ùħا ÙĨ", + "Ġ Îł", + "ĠÎ ł", + "д и", + "ภ¶", + "ि à¤ı", + "िठı", + "ãģ£ ãģŁ", + "ãģ£ãģ Ł", + "ÛĮ Ùħ", + "ÃŃ nh", + "ÃŃn h", + "r av", + "ra v", + "ÄĽ t", + "Î ķ", + "Ġ Ñıк", + "ĠÑı к", + "ç Ĥ", + "à¸Ń à¸Ļ", + "ãģ¦ ãģĦ", + "ि ल", + "िठ²", + "Ñĸ ÑĤ", + "з а", + "á p", + "ठ§", + "Ġ êµ", + "Ġê µ", + "à¹ģ ละ", + "à¹ģล ะ", + "ÃŃ ch", + "ÃŃc h", + "Ġ Ø¢ÙĨ", + "ĠØ¢ ÙĨ", + "ت Ùĩ", + "Ġ Ùħع", + "ĠÙħ ع", + "н ий", + "ни й", + "Æ°á»Ľ c", + "Ġ اÙĦع", + "Ġا ÙĦع", + "ĠاÙĦ ع", + "ر ب", + "ा म", + "ाठ®", + "Ġ رÙĪ", + "Ġر ÙĪ", + "é «", + "ı y", + "Ġh á»į", + "Ġhá» į", + "ÑĤÑĮ ÑģÑı", + "Ġ Îļ", + "ĠÎ ļ", + "Ġ à¤ĩस", + "Ġà¤ĩ स", + "ï¼ ¿", + "Ġ ÚĨ", + "Ġ ÙĪاÙĦ", + "ĠÙĪ اÙĦ", + "ĠÙĪا ÙĦ", + "íķ Ļ", + "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ", + "Ġ vý", + "Ġv ý", + "ि स", + "िठ¸", + "ữ ng", + "س ÛĮ", + "Ġ ìĥ", + "Ġì ĥ", + "ा à¤Ĥ", + "ाठĤ", + "ï½ ¤", + "à¹ĩ à¸Ļ", + "Ġ थ", + "Ġठ¥", + "l arak", + "la rak", + "lar ak", + "lara k", + "â y", + "t ÄĽ", + "ν ο", + "Ġ ÙħÙĪ", + "ĠÙħ ÙĪ", + "Ġng Æ°á»Ŀi", + "å ¦", + "ÙĬ د", + "il ir", + "ili r", + "ا ØŃ", + "Ø§Ø Ń", + "Ġ ãĢ", + "Ù ĭ", + "Ġ ÑĢоз", + "ĠÑĢ оз", + "Ġ й", + "ĠÐ ¹", + "Ġd ụ", + "à¹Ģ à¸Ľ", + "à¹ĢภĽ", + "ั à¸ĩ", + "л е", + "ा य", + "ाठ¯", + "ï¿ £", + "ÙĪ اÙĨ", + "ÙĪا ÙĨ", + "Ġth á»ĥ", + "Ġthá» ĥ", + "ã ĥ½", + "ãĥ ½", + "ü ÅŁ", + "ç Ł", + "Ġ ο", + "ĠÎ ¿", + "Ġ Σ", + "ĠÎ £", + "ÛĮ ت", + "ั à¸ģ", + "Î ¤", + "Ġ à¤ıà¤ķ", + "Ġà¤ı à¤ķ", + "Ġ ÙĩÙħ", + "ĠÙĩ Ùħ", + "ìĽ Ķ", + "Ġ Îľ", + "ĠÎ ľ", + "Ġ à¸Ħ", + "ĠภĦ", + "¯ ¸", + "ا رÛĮ", + "ار ÛĮ", + "ि न", + "िठ¨", + "Ġnh ững", + "Ġnh Æ°", + "и ÑĤи", + "иÑĤ и", + "ãĥ³ ãĥ", + "à¹Ģ ร", + "à¹Ģภ£", + "Ġ ÐĽ", + "ĠÐ Ľ", + "ÑĢ Ñĸ", + "á d", + "ü y", + "i ye", + "iy e", + "Ġ Îķ", + "ĠÎ ķ", + "Ġ ส", + "Ġภª", + "Ïĥ η", + "Ġ ë¬", + "Ġë ¬", + "ï »", + "ठ£", + "Î Ĺ", + "ठ¶", + "Ġ ÙħØŃ", + "ĠÙħ ØŃ", + "ÙĦ ÙĬ", + "Ġ με", + "Ġμ ε", + "Ġp ÅĻÃŃ", + "ĠpÅĻ ÃŃ", + "Î Ŀ", + "à¥į ष", + "à¥įठ·", + "t ir", + "ti r", + "ر اÙĨ", + "را ÙĨ", + "ĠÄij á»ĭ", + "ĠÄijá» ĭ", + "Ġ коÑĤ", + "Ġк оÑĤ", + "Ġко ÑĤ", + "к ÑĢа", + "λ ο", + "Ġ ÏĦη", + "ĠÏĦ η", + "Ñī е", + "ÏĦ ικ", + "ÏĦι κ", + "ั à¹ī", + "i ết", + "iế t", + "α ν", + "í Ķ", + "к иÑħ", + "ки Ñħ", + "Ġ поÑģ", + "Ġп оÑģ", + "Ġпо Ñģ", + "t ır", + "tı r", + "à¥į म", + "à¥įठ®", + "ر Ùģ", + "ÄĽ l", + "ठŃ", + "o vé", + "ov é", + "Ġl á»", + "à¹Ħ à¸Ķ", + "ãģª ãģĦ", + "ภ©", + "i á»ĩu", + "iá»ĩ u", + "Î ¾", + "Ġ عÙĦÙī", + "Ġع ÙĦÙī", + "ĠعÙĦ Ùī", + "д Ñĥ", + "Ġdụ ng", + "а ÑĢа", + "аÑĢ а", + "ा द", + "ाठ¦", + "o ž", + "ÙĦ Ùĩ", + "ÙĦ Ùħ", + "н оÑĹ", + "но ÑĹ", + "Û± Û", + "à¸Ĥ à¸Ńà¸ĩ", + "Î ¡", + "à¥Ģ à¤Ĥ", + "Ġ пÑĸд", + "Ġп Ñĸд", + "Ġ फ", + "Ġठ«", + "ภĺ", + "ε ÏĤ", + "ा स", + "ाठ¸", + "à¹ĥ ห", + "о ва", + "ов а", + "ت ÛĮ", + "à¸Ń ย", + "ภį", + "Ġn Äĥm", + "ĠnÄĥ m", + "ÏĦ ι", + "ÙĪ ÛĮ", + "Ġ мÑĸ", + "Ġм Ñĸ", + "Ġ اÙħ", + "Ġا Ùħ", + "ÏĢ ÏĮ", + "Ġ zá", + "Ġz á", + "ठĪ", + "Ġ à¤ĸ", + "Ġठĸ", + "Ġ nÄĽ", + "Ġn ÄĽ", + "c ÃŃ", + "ÙĨ Ú¯", + "Ñģ и", + "Î ¶", + "n á", + "Ŀ i", + "Å ©", + "Ø ¦", + "Ġ اÙĦس", + "Ġا ÙĦس", + "ĠاÙĦ س", + "á»ij c", + "Ạ½", + "ا ج", + "Ø§Ø ¬", + "Ùħ ا", + "êµ Ń", + "о Ñİ", + "د ر", + "à¹Ģ à¸ģ", + "à¹Ģภģ", + "ภł", + "à ¡ng", + "á ng", + "án g", + "íķ ©", + "Ġ ÏĦηÏĤ", + "ĠÏĦ ηÏĤ", + "ĠÏĦη ÏĤ", + "Ġ Ñĸн", + "ĠÑĸ н", + "о ÑĹ", + "à¥ĩ श", + "à¥ĩठ¶", + "ภĭ", + "à¥ĭ à¤Ĺ", + "л Ñĸ", + "Ġp ÅĻed", + "ĠpÅĻ ed", + "ĠpÅĻe d", + "Äį nÃŃ", + "Ġ ка", + "Ġк а", + "Ġ Τ", + "ĠÎ ¤", + "á»Ļ i", + "v ÃŃ", + "ÑĢ Ñı", + "ा à¤ľ", + "ाठľ", + "а Ñħ", + "ि र", + "िठ°", + "า ส", + "าภª", + "d ır", + "dı r", + "Ø ¢", + "Î ļ", + "Ġ ÎŃ", + "ĠÎ Ń", + "Ġt ại", + "iá»ĩ c", + "i ến", + "iế n", + "Ġ غ", + "ĠØ º", + "ا Ø®", + "Ø§Ø ®", + "Ġ اÙĦØŃ", + "Ġا ÙĦØŃ", + "ĠاÙĦ ØŃ", + "Ġ бÑĥ", + "Ġб Ñĥ", + "Ġv á»ģ", + "Ġvá» ģ", + "м Ñĸ", + "Ùħ ÙĦ", + "m Ä±ÅŁ", + "à¸Ľ ระ", + "à¸Ľà¸£ ะ", + "ο Ïį", + "ε ί", + "Ġर ह", + "н им", + "ни м", + "ع د", + "Ġ باÙĦ", + "Ġب اÙĦ", + "Ġبا ÙĦ", + "¤ ij", + "ç ł", + "Ġo lm", + "Ġol m", + "Ïİ Î½", + "Ġh á»įc", + "Ġhá»į c", + "ا ست", + "Ø§Ø ³Øª", + "اس ت", + "า ว", + "าภ§", + "ÙĪ ب", + "Ñĸ Ñı", + "Ġ ÙĩاÛĮ", + "ĠÙĩ اÛĮ", + "ĠÙĩا ÛĮ", + "ë§ Ī", + "ॠĮ", + "Ġ ÄĮ", + "ĠÄ Į", + "ठı", + "ا دÙĩ", + "اد Ùĩ", + "Ġ اÙĪ", + "Ġا ÙĪ", + "н Ñĭм", + "нÑĭ м", + "Ạ±", + "Ùħ ÙĨ", + "iá»ĩ t", + "l aÅŁ", + "la ÅŁ", + "Ñĸ з", + "ÙĪ س", + "Ġl Ãłm", + "ĠlÃł m", + "ĠÄij ến", + "ĠÄijế n", + "प न", + "Ġ ÛĮÚ©", + "ĠÛĮ Ú©", + "Ġ ÙĦÙĦ", + "ĠÙĦ ÙĦ", + "Ġ mÄĽ", + "Ġm ÄĽ", + "Ġ براÛĮ", + "Ġبر اÛĮ", + "ा ह", + "ाठ¹", + "Ġ Ùħر", + "ĠÙħ ر", + "e ç", + "à¸Ń ร", + "ε Ïģ", + "ั à¸Ķ", + "к он", + "ко н", + "n ou", + "no u", + "Ġ год", + "Ġг од", + "ู à¹ī", + "à¹Ģ ล", + "à¹Ģภ¥", + "Ú ĺ", + "ĠÄij á»ĭnh", + "ĠÄijá»ĭ nh", + "ĠÄij ó", + "а нов", + "ан ов", + "ано в", + "Ġ Ùģر", + "ĠÙģ ر", + "ا رد", + "ار د", + "Ñĸ ÑĹ", + "à¸Ħ ร", + "à¥į थ", + "à¥įठ¥", + "c ak", + "ca k", + "ÑĨ ÑĸÑĹ", + "ÑĨÑĸ ÑĹ", + "Ġ ãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢ", + "Ùĩ ر", + "ॠī", + "Ġg iá»", + "Ġgi á»", + "í Ĩ", + "âĢĮ ÙĩاÛĮ", + "âĢĮÙĩا ÛĮ", + "à¥ģ र", + "à¥ģठ°", + "Ġ à¸ģ", + "Ġภģ", + "Å Ī", + "æ ¨", + "ÎŁ Î", + "า à¸Ħ", + "าภĦ", + "кÑĢа ÑĹ", + "ả o", + "o ÄŁ", + "Ġ सम", + "Ġस म", + "Ġv iá»ĩc", + "Ġs ẽ", + "Ġ ná", + "Ġn á", + "ÙĬ Ùħ", + "£ p", + "ö y", + "ÙĪ ز", + "Ġ κα", + "Ġκ α", + "Ùħ د", + "n ÃŃm", + "nÃŃ m", + "o vá", + "ov á", + "ा व", + "ाठµ", + "ा ।", + "à¥į स", + "à¥įठ¸", + "ç ·", + "ặ c", + "Ġ à¸ŀ", + "Ġภŀ", + "ï½ Ģ", + "ô i", + "Ġ ợ", + "Ġá» Ł", + "ο ÏĤ", + "Ġtr ên", + "м Ñĥ", + "ÑģÑĮ к", + "ภŁ", + "o vat", + "ov at", + "ova t", + "Ġm á»", + "í ı", + "Ġ во", + "Ġв о", + "ε ν", + "à¥Ĥ र", + "Ú¯ اÙĩ", + "ĠÄij á»Ļng", + "ĠÄijá»Ļ ng", + "Ú© ÙĨ", + "Ñī и", + "Ġ пÑĢа", + "Ġп ÑĢа", + "ĠпÑĢ а", + "ü rk", + "ür k", + "ÙĪ ع", + "ấ p", + "n ý", + "Ġ quan", + "Ġqu an", + "Ġq uan", + "Ġqua n", + "Ñĸ Ñĩ", + "Ġ να", + "Ġν α", + "Ġन ह", + "Ġ Ú©ÙĨ", + "ĠÚ© ÙĨ", + "c ı", + "çĿ Ģ", + "б о", + "Ġ اس", + "Ġا س", + "ĠØ§Ø ³", + "è »", + "ا ÙĨÛĮ", + "اÙĨ ÛĮ", + "à¸ķ ร", + "ÏĦ ά", + "Ġ Ø£ÙĨ", + "ĠØ£ ÙĨ", + "éĤ £", + "Ġ ม", + "Ġภ¡", + "к ÑĤ", + "i ê", + "Ġhá» £p", + "ت Ùħ", + "Ġ بÙĨ", + "Ġب ÙĨ", + "h od", + "ho d", + "ι Ïĥ", + "ห à¸Ļ", + "Ġ ÑĹ", + "ĠÑ Ĺ", + "л ив", + "ли в", + "Ġ کرد", + "ĠÚ© رد", + "Ġکر د", + "Ġ ÙħØ´", + "ĠÙħ Ø´", + "ا Ø·", + "Ø§Ø ·", + "ب ÙĬ", + "Ġ ร", + "Ġภ£", + "د Ùħ", + "ÙĦ اÙħ", + "ÙĦا Ùħ", + "à¹Ī ว", + "Ġ ÙĨÙħ", + "ĠÙĨ Ùħ", + "Ġ æĹ", + "Ġæ Ĺ", + "é ħ", + "н оÑģÑĤ", + "но ÑģÑĤ", + "ноÑģ ÑĤ", + "i á»ĥm", + "iá»ĥ m", + "êµ IJ", + "a yı", + "ay ı", + "Ġ بÙĪد", + "Ġب ÙĪد", + "ĠبÙĪ د", + "Ú¯ ر", + "Ġh iá»ĩn", + "Ġhi á»ĩn", + "ç ³", + "ÑģÑĤ вен", + "ÑģÑĤв ен", + "ÑģÑĤве н", + "Ġà¤ķर न", + "Ġ ÏĦην", + "ĠÏĦ ην", + "ĠÏĦη ν", + "Ġ à¸Ń", + "ĠภŃ", + "Ġ Ùħت", + "ĠÙħ ت", + "ģ n", + "ج Ùħ", + "λ λ", + "Ġ ÑĢе", + "ĠÑĢ е", + "ิ à¸Ķ", + "Ġ اÙĦÙĤ", + "Ġا ÙĦÙĤ", + "ĠاÙĦ ÙĤ", + "α Ïģ", + "Ġ यह", + "Ġय ह", + "n ÃŃch", + "nÃŃ ch", + "ÑĶ ÑĤÑĮÑģÑı", + "Ġ à¸Ĺ", + "ĠภĹ", + "ÛĮ Ø´", + "ÅĻ e", + "Ġn ebo", + "Ġne bo", + "Ġneb o", + "Ġ Ñĩа", + "ĠÑĩ а", + "l ou", + "lo u", + "ÑģÑĤ во", + "ÑģÑĤв о", + "Ġ Ч", + "ĠÐ §", + "à¸Ħ ว", + "Ùĩ Ùħ", + "à¹Ģ à¸Ķ", + "à¹ĢภĶ", + "Ġ à¹ģ", + "Ġ à¹Ĥ", + "Û ³", + "Å© ng", + "Ġ nej", + "Ġn ej", + "Ġne j", + "ÛĮ Ú©", + "Ġs á»Ń", + "Ùģ ر", + "Î ł", + "Ġп ок", + "Ġпо к", + "ĠاÙĦ ÙĨ", + "Ġv Å¡", + "á º«", + "Ạ«", + "Ġnh Ãł", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ή ÏĤ", + "ο Ïģ", + "Ġ Ïĩ", + "ĠÏ ĩ", + "à¹Ģ à¸Ĺ", + "à¹ĢภĹ", + "Ñĥ лÑĮ", + "Ñĥл ÑĮ", + "ãħ ĩ", + "Ġ yıl", + "Ġy ıl", + "Ġyı l", + "ÑĢ од", + "ÑĢо д", + "ί ν", + "ìĹ Īëĭ¤", + "ìĹĪ ëĭ¤", + "ا ص", + "Ø§Ø µ", + "ĠÄij ầu", + "à¥ĩ à¤ķ", + "à¥ĩठķ", + "ÑĢ ом", + "ÑĢо м", + "ãģĵ ãģ¨", + "Ġ ار", + "Ġا ر", + "ĠØ§Ø ±", + "å¥ ¹", + "Ġ تØŃ", + "Ġت ØŃ", + "Å¡ tÄĽ", + "Å¡t ÄĽ", + "à¥į ल", + "à¥įठ²", + "à¥į à¤ķ", + "à¥įठķ", + "Ġ کار", + "ĠÚ© ار", + "u jÃŃ", + "uj ÃŃ", + "Ġ à¤īन", + "Ġà¤ī न", + "Ġ αÏĢÏĮ", + "Ġα ÏĢÏĮ", + "ĠαÏĢ ÏĮ", + "Ġm Ãł", + "ž ÃŃ", + "Ġ à¸Ī", + "ĠภĪ", + "a lı", + "al ı", + "ठ«", + "Ñĩ еÑģ", + "Ñĩе Ñģ", + "Ġ عÙĨ", + "Ġع ÙĨ", + "æķ Ļ", + "ï¾ Ĩ", + "ि à¤Ĥ", + "िठĤ", + "Ġs á»±", + "в оÑĢ", + "во ÑĢ", + "Ġth á»±c", + "ë į°", + "ëį °", + "ãģ¦ ãģĦãĤĭ", + "ãģ¦ãģĦ ãĤĭ", + "à¹Ī à¸ĩ", + "ت ب", + "Ġnh iá»ģu", + "ĥ n", + "ĠÄij á»ĵ", + "ĠÄijá» ĵ", + "Ġ ห", + "Ġภ«", + "Û µ", + "m ÄĽ", + "ạ t", + "Ġch ÃŃnh", + "ĠchÃŃ nh", + "ĠchÃŃn h", + "μ ÎŃ", + "an ı", + "Ġb á»ĭ", + "ằ ng", + "ÅĻ ed", + "ÅĻe d", + "é Ł", + "á nh", + "án h", + "ÙĢ ÙĢ", + "Ġ Ùħس", + "ĠÙħ س", + "á»ĭ ch", + "Ä ĥn", + "Äĥ n", + "o vánÃŃ", + "ov ánÃŃ", + "ová nÃŃ", + "ován ÃŃ", + "à¹Ī าà¸ĩ", + "à¹Īา à¸ĩ", + "Ġ à¸Ľ", + "ĠภĽ", + "Ġn Æ°á»Ľc", + "Ð ±Ð¾ÑĤ", + "б оÑĤ", + "бо ÑĤ", + "ı yor", + "ıy or", + "ĠØ® ÙĪد", + "ĠØ®ÙĪ د", + "Û ¹", + "Ġ Ùħد", + "ĠÙħ د", + "Ġ üz", + "Ġü z", + "ì ½", + "ÙĪ ÙĤ", + "ë¥ ´", + "л ек", + "ле к", + "Ġc ả", + "ол ог", + "оло г", + "à¹ī à¸Ńà¸ĩ", + "à¹īà¸Ń à¸ĩ", + "m iÅŁ", + "mi ÅŁ", + "à¹ī ว", + "Ä ©", + "Î ľ", + "à¸Ń à¸ģ", + "＿ ＿", + "ठĸ", + "Ġ Я", + "ĠÐ ¯", + "ë ¬´", + "ë¬ ´", + "اÛĮ ÛĮ", + "s ké", + "sk é", + "uy ên", + "e ÅŁ", + "á i", + "ú ng", + "ún g", + "Ãł o", + "Ñĸ Ñģ", + "ç ¶", + "Ġ à¤Ĩप", + "Ġà¤Ĩ प", + "ï º", + "Î Ľ", + "Ġ ê³µ", + "Ġê³ µ", + "Ġ ÐĨ", + "ĠÐ Ĩ", + "Ġà¤ħ पन", + "Ġà¤ħप न", + "ứ ng", + "ÏĮ ÏĤ", + "Ġngh iá»ĩ", + "Ġnghi á»ĩ", + "Ġ اÙĦب", + "Ġا ÙĦب", + "ĠاÙĦ ب", + "à¥ĭ न", + "Ġ à¤Ł", + "ĠठŁ", + "Ġ ìľł", + "Ġìľ ł", + "Ġc Å©ng", + "ĠcÅ© ng", + "Ġà¤ī स", + "Ġ ड", + "Ġठ¡", + "ĠØ´ دÙĩ", + "Ġشد Ùĩ", + "ี à¹ī", + "Û ´", + "ặ t", + "æĸ ¯", + "Ġ ëį", + "Ġë į", + "Ġп л", + "б и", + "ê³ Ħ", + "ο ν", + "Ġç ık", + "Ġçı k", + "Ġbu lun", + "Ġbul un", + "س Ùħ", + "a ç", + "ا ÙĨÙĩ", + "اÙĨ Ùĩ", + "ÛĮ ز", + "l eÅŁ", + "le ÅŁ", + "ắ c", + "ا Ú©", + "Ġस à¤ķ", + "Ġ оÑĢг", + "Ġо ÑĢг", + "ĠоÑĢ г", + "Ġ à¸Ļ", + "ĠภĻ", + "ा थ", + "ाठ¥", + "Ġ ÙħÙĤ", + "ĠÙħ ÙĤ", + "ĠÎĶ E", + "Ñİ ÑĤÑĮ", + "ÑİÑĤ ÑĮ", + "á»Ļ c", + "Ġ η", + "ĠÎ ·", + "s ob", + "so b", + "Ġth eo", + "Ġthe o", + "å ŀ", + "Ġ اÙĦØ´", + "ĠاÙĦ Ø´", + "à¹Ģ à¸ŀ", + "à¹Ģภŀ", + "ÎŃ ÏĤ", + "à¹Ģ à¸Ĥ", + "à¹ĢภĤ", + "å Ļ", + "ि श", + "िठ¶", + "Ġ باز", + "Ġب از", + "Ġبا ز", + "ÑĢ об", + "ÑĢо б", + "Ġγ ια", + "μ ε", + "Ġ باش", + "Ġب اش", + "Ġبا Ø´", + "ा à¤ĩ", + "ाठĩ", + "Ġqu y", + "Ġq uy", + "λ ε", + "ا Ùĥ", + "ا٠ĥ", + "Ġ ÑĢок", + "ĠÑĢ ок", + "Ġ Türk", + "ĠT ürk", + "ĠTür k", + "Ġ Ð¥", + "ĠÐ ¥", + "ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ ÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁÑŁ", + "æ ©", + "Ġph ải", + "à¸Ħ วาม", + "à¸Ħว าม", + ": ::", + ":: :", + "l ÃŃ", + "Ġj sou", + "Ġjs ou", + "ÛĮ ÙĦ", + "ál nÃŃ", + "áln ÃŃ", + "Ķ Ķ", + "í ĸī", + "íĸ ī", + "æĥ ³", + "l á", + "Ġ ÏĥÏħ", + "ĠÏĥ Ïħ", + "Ñĭ ва", + "Ñĭв а", + "Ġnh ất", + "à¸Ń ม", + "Û ¸", + "e cek", + "ec ek", + "ece k", + "Ñĸ ÑĢ", + "ÙĪ Ø´", + "λ α", + "Ġ ÎĴ", + "ĠÎ Ĵ", + "о ÑĢа", + "оÑĢ а", + "Ùģ ت", + "e dir", + "ed ir", + "edi r", + "Ñĥ Ñħ", + "ä¸ ĸ", + "ĠУ кÑĢаÑĹ", + "ĠУкÑĢа ÑĹ", + "Ġ íĶ", + "Ġí Ķ", + "ά ν", + "Ġ شر", + "ĠØ´ ر", + "ĠاÙĦ ج", + "е ÑĢед", + "еÑĢ ед", + "еÑĢе д", + "ìĺ ģ", + "Ġh Ãłnh", + "ï¿£ ï¿£", + "м е", + "ÑİÑĤ ÑģÑı", + "ĠØ¥ ÙĦÙī", + "ĠØ¥ÙĦ Ùī", + "ìĹ ħ", + "Ġ تر", + "Ġت ر", + "к ом", + "ко м", + "Ġ شد", + "ĠØ´ د", + "Ġ اÙĦÙĥ", + "Ġا ÙĦÙĥ", + "ĠاÙĦ Ùĥ", + "Ġ ÏĥÏĦο", + "ĠÏĥ ÏĦο", + "à¥į द", + "à¥įठ¦", + "ëł ¤", + "Ñĥ ваннÑı", + "Ñĥв аннÑı", + "Ġth ì", + "ê ´Ģ", + "ê´ Ģ", + "κ ε", + "س ب", + "íĥ Ģ", + "Ġ ï¼ı", + "Ġï¼ ı", + "Ġ à¹ģละ", + "Ġà¹ģ ละ", + "Ġà¹ģล ะ", + "Ġ ÏĮ", + "ĠÏ Į", + "н иÑĨ", + "ни ÑĨ", + "Ġ ÐĿа", + "ĠÐĿ а", + "Ñı в", + "l ü", + "ι ο", + "ÙĨ دÙĩ", + "ÙĨد Ùĩ", + "ÙĦ Ùĥ", + "Ġng Ãły", + "Ġnh ân", + "Ġ ^{", + "Ġ^ {", + "ॠĥ", + "Ġg erek", + "Ġge rek", + "Ġger ek", + "Ġgere k", + "ا رÙĩ", + "ار Ùĩ", + "Ġc Æ¡", + "Ġ à¸ķ", + "Ġภķ", + "æ Ĥ", + "çĶ °", + "à¥Īà¤Ĥ ।", + "ั ว", + "v ÄĽ", + "ö z", + "и ли", + "ил и", + "Ġph áp", + "Ġphá p", + "ê¸ Ī", + "Ġ ÎŁ", + "ĠÎ Ł", + "Ġp ÅĻi", + "ĠpÅĻ i", + "Ġ ìĸ´", + "Ġìĸ ´", + "Ġд ол", + "Ġдо л", + "ÙĪ رد", + "ÙĪر د", + "à¹Ģ ม", + "à¹Ģภ¡", + "Ïĥ ε", + "า à¸Ĺ", + "าภĹ", + "o Ãłi", + "ร ม", + "Û ¶", + "Ġ à¸ļ", + "Ġภļ", + "i yet", + "iy et", + "iye t", + "ÏĦ αι", + "ÏĦα ι", + "ìĦ ł", + "Ġ εÏĢ", + "Ġε ÏĢ", + "ि व", + "िठµ", + "ê¹ Į", + "г а", + "ĠÑģ лÑĥ", + "ĠÑģл Ñĥ", + "Ġh ình", + "Ġ داÙĨ", + "Ġد اÙĨ", + "Ġà¤Ĺ य", + "ÙĬ ا", + "è ij", + "à¤Ĥ त", + "Ġ ساÙĦ", + "Ġس اÙĦ", + "ëł Ī", + "l erin", + "le rin", + "ler in", + "leri n", + "à¥ĩ त", + "à¥ĩठ¤", + ".: .:.:.:", + ".:.: .:.:", + ".:. :.:.:", + ".:.:.: .:", + ".:.:. :.:", + ".:.:.:. :", + "Ġ ëħ", + "Ġë ħ", + "Ġ اÙĦØ¥", + "ĠاÙĦ Ø¥", + "ả ng", + "ản g", + "è Ħ", + "ο λ", + "п ов", + "по в", + "Ġ θ", + "ĠÎ ¸", + "Û ·", + "Ġn ó", + "Ġd Ã¼ÅŁ", + "Ġdü ÅŁ", + "Ġt iế", + "Ġti ế", + "ÙĪ ج", + "Ġj sem", + "Ġjs em", + "Ạ¡ng", + "ạ ng", + "ạn g", + "ãģĤ ãĤĭ", + "à¸Ń à¸ļ", + "ÙĪ ÙĬ", + "à¤ķ र", + "Ġ де", + "Ġд е", + "¯ ¼", + "Ġ но", + "Ġн о", + "ÑĨ Ñĸй", + "ÑĨÑĸ й", + "Ïĥ ÏĦ", + "к ие", + "ки е", + "Ïĥ ει", + "Ïĥε ι", + "ìķ Ī", + "Ġh Æ¡n", + "Ġà¤ķ ह", + "ا ض", + "Ø§Ø ¶", + "ì ¸", + "ãĥ Ł", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ãĤĪ ãģĨ", + "ा ,", + "е ÑĢи", + "еÑĢ и", + "ë© °", + "í ĶĦ", + "íĶ Ħ", + "Ġп оÑģÑĤ", + "Ġпо ÑģÑĤ", + "ĠпоÑģ ÑĤ", + "Ø® ر", + "à¥ĭ त", + "â u", + "к ой", + "ко й", + "d aki", + "da ki", + "í ħ", + ": :::::::::::::::", + ":: ::::::::::::::", + ":::: ::::::::::::", + ":::::: ::::::::::", + ":::::::: ::::::::", + "::: :::::::::::::", + "::::: :::::::::::", + "::::::: :::::::::", + "::::::::: :::::::", + ":::::::::: ::::::", + "::::::::::: :::::", + ":::::::::::: ::::", + "::::::::::::: :::", + ":::::::::::::: ::", + "::::::::::::::: :", + "Ġ öz", + "Ġö z", + "ÑĢ аж", + "ÑĢаР¶", + "ÑĢа ж", + "nÃŃ ho", + "ห ล", + "Ġ ÏĥÏĦη", + "ĠÏĥ ÏĦη", + "ĠÄij á»ģ", + "ĠÄijá» ģ", + "Ġk á»", + "i á»ĥn", + "iá» ĥn", + "iá»ĥ n", + "ÅĻ i", + "Ġkter é", + "¢ ħ", + "ü ç", + "ÙĬ Ùģ", + "Ġ lý", + "Ġl ý", + "Ġth á»Ŀi", + "Ġthá» Ŀi", + "Ġthá»Ŀ i", + "Ġ ìĨĮ", + "ĠìĨ Į", + "н ÑĮ", + "Ð Ĩ", + "ÑĤ ÑĢ", + "à¸ĩ าà¸Ļ", + "к оÑĹ", + "ко ÑĹ", + "μ ο", + "Ġs ür", + "Ġsü r", + "uy á»ģn", + "uyá» ģn", + "Ġ Ùħا", + "ĠÙħ ا", + "à¤Ĥ à¤Ĺ", + "ĠÄij á»ĵng", + "ĠÄijá»ĵ ng", + "ò n", + "à¥ģ ल", + "à¥ģठ²", + "à¥į प", + "à¥įठª", + "λ η", + "Ùħ ر", + "п ÑĢи", + "пÑĢ и", + "i yle", + "iy le", + "ा प", + "ाठª", + "Ġà¤ħ न", + "Ġ ÑĶ", + "ĠÑ Ķ", + "Ġy ön", + "Ġyö n", + "ÙĦ Ùģ", + "a dır", + "ad ır", + "adı r", + "á ½", + "Ġ ê³ł", + "Ġê³ ł", + "Ø® ص", + "im iz", + "imi z", + "åľ ĭ", + "Ġ над", + "Ġн ад", + "Ġна д", + "Ġ ÅĻ", + "ĠÅ Ļ", + "н оÑģÑĤÑĸ", + "но ÑģÑĤÑĸ", + "ноÑģÑĤ Ñĸ", + "ноÑģ ÑĤÑĸ", + "Ġ اÙģ", + "Ġا Ùģ", + "а нÑĸ", + "ан Ñĸ", + "à¥ĩ à¤Ł", + "à¥ĩठŁ", + "Ġ ë§IJ", + "Ġë§ IJ", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Ġ ìĬ¤", + "ĠìĬ ¤", + "ิ à¸ķ", + "å Ħ", + "ÛĮ Ùĩ", + "о ÑĪ", + "ž it", + "ži t", + "ìĭ ¤", + "à¥Ģ न", + "Ġ î", + "æ¥ Ń", + "à¥ĩ न", + "à¥ĩठ¨", + "Ġ Ø°", + "ĠØ °", + "Ġl oại", + "Ġlo ại", + "à¹Ħ à¸Ľ", + "Ñĸ к", + "Ġ кÑĢа", + "Ġк ÑĢа", + "à¥ĭ र", + "ุ à¸Ķ", + "ĠاÙĦ ر", + "ĠÑģ об", + "ĠÑģо б", + "า à¸Ĭ", + "าภĬ", + "Ġसà¤ķ त", + "Ġ ÎĿ", + "ĠÎ Ŀ", + "ا ÙħÙĩ", + "اÙħ Ùĩ", + "à¹ī าà¸Ļ", + "à¹īา à¸Ļ", + "Ġtr ình", + "Ġtrì nh", + "Ġ اÙĦÙģ", + "Ġا ÙĦÙģ", + "ĠاÙĦ Ùģ", + "Ġ اÙĦد", + "ĠاÙĦ د", + "u nun", + "un un", + "unu n", + "о ÑĤов", + "оÑĤ ов", + "оÑĤо в", + "Æ° ợ", + "Æ°á» Ł", + "ĠÑģ во", + "ĠÑģв о", + "ί αÏĤ", + "ία ÏĤ", + "ấ n", + "ог да", + "à¸Ĺ ย", + "Ġb yl", + "Ġby l", + "ØŃ Ø¯", + "à¸ģ ล", + "ب Ùĩ", + "Ġ vÄĽ", + "Ġv ÄĽ", + "è¢ «", + "Ġ Ø¢Ùħ", + "ĠØ¢ Ùħ", + "ĠÄij iá»ģu", + "å ¨", + "Ġk dy", + "Ġkd y", + "Ġ بÙĪ", + "Ġب ÙĪ", + "ẫ n", + "ìľ ł", + "ा à¤ķ", + "ाठķ", + "k ů", + "Ġtr Æ°á»Ŀng", + "ic ké", + "ick é", + "н иÑı", + "ни Ñı", + "Ġ ÏĢοÏħ", + "ĠÏĢ οÏħ", + "ĠÏĢο Ïħ", + "Æ°á»Ł ng", + "н омÑĥ", + "но мÑĥ", + "ном Ñĥ", + "à¹Ī à¸Ļ", + "ู à¹Ī", + "Ġk ết", + "Ġkế t", + "Ġ ï¼¼", + "Ġï¼ ¼", + "Ġ ìĭł", + "Ġìĭ ł", + "i ç", + "Ġn Äĥng", + "ĠnÄĥ ng", + "Äį ÃŃ", + "ÑĤ Ñı", + "ÑĢ еб", + "ÑĢе б", + "Ùĭ ا", + "Ú¯ ÛĮ", + "ãĥ İ", + "Ġkar ÅŁ", + "в Ñĸ", + "Ġph ần", + "à¸Ī ะ", + "ắ t", + "ر Ø©", + "ิ à¸ĩ", + "ิ à¹Ī", + "ा à¤Ī", + "ाठĪ", + "า à¸ŀ", + "าภŀ", + "ÙĨ ÛĮ", + "ìĹ °", + "b ÄĽ", + "Ġ اÙĦص", + "ĠاÙĦ ص", + "í Ĺ", + "Ġ سر", + "Ġس ر", + "l ara", + "la ra", + "lar a", + "ëĭ ¨", + "Ġ ÙĤر", + "ĠÙĤ ر", + "è İ", + "ب د", + "Ġй ого", + "à¥į ह", + "à¥įठ¹", + "Ġc ách", + "Ġcá ch", + "Ġcác h", + "íķĺ ê³ł", + "Ġ ÏĢÏģο", + "ĠÏĢ Ïģο", + "Ġ تع", + "Ġت ع", + "Ĵ Ī", + "Ġ вод", + "Ġв од", + "Ġво д", + "ç¥ ŀ", + "к им", + "ки м", + "Ġd á»±", + "à¹Ģ ห", + "à¹Ģภ«", + "а на", + "ан а", + "Ġ ï½", + "Ġï ½", + "Ġb aÄŁ", + "Ġba ÄŁ", + "Ġप ह", + "Ġ cao", + "Ġc ao", + "Ġca o", + "Ïģ ÏĮ", + "ÙĨ ج", + "ा à¤ı", + "ाठı", + "Ġ å¹´", + "Ġå¹ ´", + "Ġngh iá»ĩp", + "Ġnghiá»ĩ p", + "Û² Û°", + "к аÑı", + "ка Ñı", + "Ïģ ί", + "Ġ бол", + "Ġб ол", + "Ġбо л", + "Ġgi á", + "Ġ зд", + "Ġз д", + "à¥ĩ ल", + "à¥ĩठ²", + "Ġc ấp", + "à¹Ģ ส", + "à¹Ģภª", + "Ïģ γ", + "Ġ ìĤ", + "Ġì Ĥ", + "d ÄĽ", + "à¥ģ न", + "à¥ģठ¨", + "ì Ī", + "ı lan", + "ıl an", + "л аÑģ", + "ла Ñģ", + "Ġ ว", + "Ġภ§", + "Ġ Ïĥε", + "ĠÏĥ ε", + "Ġ Ø«", + "ĠØ «", + "Ġ Ц", + "ĠÐ ¦", + "çĤ º", + "Ġb üy", + "Ġbü y", + "е ÑĨ", + "å¤ ª", + "Ġब न", + "о гÑĢа", + "ог ÑĢа", + "Ġп ÑĢоÑĤ", + "ĠпÑĢ оÑĤ", + "ĠпÑĢо ÑĤ", + "Ġl ượng", + "Ġd ön", + "Ġdö n", + "ร à¸ĩ", + "а ло", + "ал о", + "Ġ جÙħ", + "Ġج Ùħ", + "à¥Ī ,", + "Ġ 미", + "Ġë ¯¸", + "Ġ ê¹", + "Ġê ¹", + "ÙĪ ت", + "à¥Ģ य", + "à¸Ī าà¸ģ", + "Ġch ất", + "Î ©", + "Ġkh ác", + "Ġkhá c", + "Ġth áng", + "j Å¡ÃŃ", + "ĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł", + "ĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂł", + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂł", + "á»ij t", + "ห ร", + "Ñĸ л", + "åħ ī", + "å Ĥ", + "ÙĦ Ø©", + "Ġ ê±°", + "Ġê± °", + "о воÑĢ", + "ов оÑĢ", + "ово ÑĢ", + "iá»ĥ u", + "Ġ меÑĤ", + "Ġм еÑĤ", + "а ÑĶ", + "Ġ ÑĩаÑģ", + "ĠÑĩ аÑģ", + "ĠÑĩа Ñģ", + "Ïģ ε", + "ì¹ ´", + "âĢĮ Ø´", + "ë¬ ¼", + "ú c", + "âĢĮ Ùĩا", + "i á»ģn", + "iá» ģn", + "iá»ģ n", + "st av", + "sta v", + "í ŀ", + "ĠÙĨ ظ", + "Ĩ Ĵ", + "Ġ ÏĦα", + "ĠÏĦ α", + "Ġ заб", + "Ġз аб", + "Ġза б", + "Ùĥ Ø©", + "Ġг ÑĢÑĥ", + "ĠгÑĢ Ñĥ", + "в о", + "Ġ Ùħج", + "ĠÙħ ج", + "Ġ sah", + "Ġs ah", + "Ġsa h", + "ب ÙĦ", + "ع Ø©", + "Ñĥ ÑĪ", + "ĠÑĤ ем", + "ĠÑĤе м", + "í ĭ", + "e ck", + "ec k", + "Ïī ÏĤ", + "ÙĬ ت", + "ìĹ Ī", + "ç ĭ", + "Ø° ا", + "ì łĢ", + "ìł Ģ", + "Ġн аÑģ", + "Ġна Ñģ", + "Ġ поÑĩ", + "Ġп оÑĩ", + "Ġпо Ñĩ", + "æł ¡", + "Ï Ī", + "Ñģ кой", + "Ñģк ой", + "Ñģко й", + "ü c", + "ÙĤ ÙĦ", + "Ġп оз", + "Ġпо з", + "Ġ оÑģоб", + "ĠоÑģ об", + "า ล", + "าภ¥", + "н Ñĭми", + "нÑĭ ми", + "нÑĭм и", + "о лод", + "ол од", + "оло д", + "è ¼", + "Ġ دÛĮ", + "Ġد ÛĮ", + "Ġ ÑĥÑģÑĤ", + "ĠÑĥ ÑģÑĤ", + "ĠÑĥÑģ ÑĤ", + "Ġ 무", + "Ġë ¬´", + "Ġë¬ ´", + "ÙĬ س", + "ë° ©", + "à¥į à¤ļ", + "à¥įठļ", + "и ла", + "ил а", + "Ġn ên", + "н ие", + "ни е", + "ι ν", + "lar ını", + "ların ı", + "à¹Ģ à¸Ļ", + "à¹ĢภĻ", + "ÙĨ ت", + "a ģı", + "aÄŁ ı", + "ım ız", + "ımı z", + "ĠاÙĦ Ø®", + "à¹Ģ ว", + "à¹Ģภ§", + "à¥į न", + "à¥įठ¨", + "Ġ Ïħ", + "ĠÏ ħ", + "Ġ íĨ", + "Ġí Ĩ", + "Ạ»", + "ิ à¹Ĥ", + "α ÏĤ", + "м еÑĤ", + "ме ÑĤ", + "Ġ zp", + "Ġz p", + "Ġje ho", + "ี ยà¸Ļ", + "ีย à¸Ļ", + "ÑĦ оÑĢ", + "ın ız", + "ını z", + "k lad", + "kl ad", + "kla d", + "íĮ Į", + "uy á»ĩ", + "uyá» ĩ", + "ι ά", + "Ġ ãĢģ", + "ĠãĢ ģ", + "Ø´ ر", + "æ© Ł", + "Ġ تا", + "Ġت ا", + "Ġ зна", + "Ġз на", + "Ġзн а", + "س تاÙĨ", + "ست اÙĨ", + "à¥ĩ र", + "à¥ĩठ°", + "ë§ ¤", + "ç ĥ", + "Ġ же", + "Ġж е", + "า à¸Ķ", + "าภĶ", + "Ġ ض", + "ĠØ ¶", + "é Ń", + "Ġн аз", + "Ġна з", + "Ġ ÛĮا", + "ĠÛĮ ا", + "e né", + "en é", + "ั ย", + "íĸ Īëĭ¤", + "íĸĪ ëĭ¤", + "Ġ بد", + "Ġب د", + "à¥ģ à¤ķ", + "à¥ģठķ", + "ÑĤ ов", + "ÑĤо в", + "ì° ¨", + "Ùĩ د", + "à¸Ķ ย", + "Ġho ặc", + "Ġ ÐŁÑĢи", + "ĠÐŁ ÑĢи", + "ĠÐŁÑĢ и", + "ÙĨ ا", + "çİ ĭ", + "Ñĥ ваÑĤи", + "Ñĥв аÑĤи", + "Ñĥва ÑĤи", + "à¸ļ ร", + "Ġà¤ķ रत", + "Ġà¤ķर त", + "Ïĥ ηÏĤ", + "Ïĥη ÏĤ", + "Ø ¤", + "éķ ·", + "åħ ĭ", + "Ġ دار", + "Ġد ار", + "ั à¹Ī", + "Æ¡ i", + "า à¸Ī", + "าภĪ", + "ý mi", + "ým i", + "ấ u", + "Ġد ست", + "Ġدس ت", + "k em", + "ke m", + "Ġ оÑģнов", + "ĠоÑģ нов", + "ëª ¨", + "Ïģ ά", + "æ ħ", + "Ġ اب", + "Ġا ب", + "ĠØ§Ø ¨", + "å£ «", + "Ħ ĸ", + "Î Ķ", + "ÙĬ Ùĥ", + "í İ", + "Ġy üz", + "a dı", + "ad ı", + "า à¸ķ", + "าภķ", + "ä» Ģ", + "ìĿ´ ëĭ¤", + "Ġ zv", + "Ġz v", + "Ġ tÄĽ", + "Ġt ÄĽ", + "Ġ íĸ", + "Ġí ĸ", + "ठ¥", + "Ġ लà¤Ĺ", + "Ġल à¤Ĺ", + "ìĺ Ģ", + "Ġ ан", + "Ġа н", + "ç Ĺ", + "ìĹ Ń", + "н ÑĸÑģÑĤÑĮ", + "нÑĸ ÑģÑĤÑĮ", + "нÑĸÑģÑĤ ÑĮ", + "Å ŀ", + "Ġph át", + "Ġphá t", + "ÙĤ Ø©", + "Ġth ế", + "Ġ ï¾", + "Ġï ¾", + "ì² ľ", + "Ġ ìĦł", + "ĠìĦ ł", + "à¹ĥ à¸Ĭ", + "i êu", + "iê u", + "ÄŁ ini", + "ÄŁi ni", + "ÄŁin i", + "ÙĤ د", + "Ġkter ý", + "Ñģ кий", + "Ñģк ий", + "Ñģки й", + "à¥į ड", + "à¥įठ¡", + "t adır", + "ta dır", + "Ġ Ñģм", + "ĠÑģ м", + "ÙĪ Ùģ", + "ا رÙĬ", + "ار ÙĬ", + "å¾ ·", + "ิ ม", + "Ø® ت", + "å¾ Ī", + "Ġ гоÑĢ", + "Ġг оÑĢ", + "ï¼Į æĪij", + "Ġ ìĺģ", + "Ġìĺ ģ", + "Ġ ëıĻ", + "Ġëı Ļ", + "Ñģ а", + "à¹Ģ à¸Ħ", + "à¹ĢภĦ", + "ë ¯¼", + "ë¯ ¼", + "ึ à¹Ī", + "Ġl iên", + "Ġli ên", + "Ġ Ùĩا", + "ĠÙĩ ا", + "ler ini", + "leri ni", + "lerin i", + "Ġ ÑĨе", + "ĠÑĨ е", + "ا ÙĦÛĮ", + "اÙĦ ÛĮ", + "Ġ मह", + "Ġम ह", + "Ġv ụ", + "Ġvá» ¥", + "Ġxu ất", + "ิ à¸ģ", + "ĠпÑĢо ÑĨ", + "Ġ αν", + "Ġα ν", + "ÑĢ им", + "ÑĢи м", + "Ġc ần", + "Ġ иÑħ", + "Ġи Ñħ", + "н оÑİ", + "но Ñİ", + "Ġt ÃŃnh", + "ĠtÃŃ nh", + "ĠtÃŃn h", + "Ġb á»Ļ", + "Ñĸ м", + "Ġnh áºŃn", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ÙĬ Ùĩ", + "äº ļ", + "Ġоб ла", + "Ġобл а", + "Ġ à¤ĺ", + "Ġठĺ", + "n ých", + "ný ch", + "æĿ ij", + "ÙĦ س", + "Ġне об", + "ا بة", + "اب Ø©", + "v á", + "ο Ïħν", + "οÏħ ν", + "ÑĢ еÑĤ", + "ÑĢе ÑĤ", + "a sında", + "as ında", + "ası nda", + "Ġ yar", + "Ġy ar", + "Ġya r", + "ĠÄij iá»ĥm", + "ĠÄiji á»ĥm", + "н Ñİ", + "ा à¤Ĺ", + "ाठĹ", + "Ġ Ú©Ø´", + "ĠÚ© Ø´", + "Ñĥ з", + "Ġ à¸Ķ", + "ĠภĶ", + "ả m", + "к ами", + "ка ми", + "кам и", + "Ġ ÎĻ", + "ĠÎ Ļ", + "à¹Ģ à¸ķ", + "à¹Ģภķ", + "Ġl Ỽ", + "Ġlá» Ľ", + "ÙĤ ÛĮ", + "k ou", + "ko u", + "ÙĦ ب", + "и ва", + "ив а", + "æ ĵ", + "Ạ¹", + "κ α", + "ë² ķ", + "èĤ ²", + "á»ij n", + "Ġbel ir", + "íĨ ł", + "ÏĦ ή", + "Ñĭ ÑĪ", + "ãĤ ĥ", + "Ġ або", + "Ġа бо", + "Ġаб о", + "s ký", + "sk ý", + "à¥Ī स", + "Ġп ÑĢоÑģÑĤ", + "ĠпÑĢ оÑģÑĤ", + "ĠпÑĢо ÑģÑĤ", + "ĠпÑĢоÑģ ÑĤ", + "ekt edir", + "ekte dir", + "a ž", + "à¹Ī à¸Ń", + "Ġ оÑģÑĤ", + "Ġо ÑģÑĤ", + "ĠоÑģ ÑĤ", + "Ġb ảo", + "Ġ 大", + "Ġå¤ §", + "Ñĭ м", + "Ġm ů", + "Æ°á»Ľ ng", + "åı Ĺ", + "ÙĪ Ùĩ", + "Ġ Ñĥп", + "ĠÑĥ п", + "Ùĥ ÙĨ", + "Ġ ÏĦÏīν", + "ĠÏĦ Ïīν", + "ëħ ¸", + "Ġ à¸Ĭ", + "ĠภĬ", + "Ġ ÑĤого", + "ĠÑĤ ого", + "ĠÑĤо го", + "Ġ Ш", + "ĠÐ ¨", + "ìĿ´ íĬ¸", + "à¹Ģ à¸Ń", + "à¹ĢภŃ", + "и нÑĥ", + "ин Ñĥ", + "ĺ ħ", + "uy á»ĥn", + "uyá» ĥn", + "í ĴĪ", + "íĴ Ī", + "ạ nh", + "ạn h", + "Ġ ãĥ½", + "Ġãĥ ½", + "ÑĤ обÑĭ", + "ÑĤо бÑĭ", + "Ġt ạo", + "å· Ŀ", + "ĠÄij á»iji", + "Ġ ëıĦ", + "Ġëı Ħ", + "ä¹ ħ", + "Ġ تÙħ", + "Ġت Ùħ", + "а ÑĢи", + "аÑĢ и", + "st vÃŃ", + "Ġc ùng", + "íŀ Ī", + "Ġt arih", + "Ġtar ih", + "ì ¤ij", + "ì¤ ij", + "í Ĥ", + "Ġ دÙĪ", + "Ġد ÙĪ", + "ì ¡", + "а лÑĸ", + "ал Ñĸ", + "ภIJ", + "Ġc òn", + "и ÑĤÑĮÑģÑı", + "иÑĤÑĮ ÑģÑı", + "Ġव ह", + "ÅĻ eb", + "ÅĻe b", + "éĽ »", + "Ġ ми", + "Ġм и", + "o vÄĽ", + "ov ÄĽ", + "Ġd ân", + "ÑĨ ÑĸÑı", + "ÑĨÑĸ Ñı", + "ÛĮ ست", + "ÛĮس ت", + "åŃ ¸", + "Ġ ür", + "Ġü r", + "ص ÙĦ", + "ÑĢ иÑĤ", + "ÑĢи ÑĤ", + "า ห", + "าภ«", + "ãģ¦ ãģĦãģŁ", + "ãģ¦ãģĦ ãģŁ", + "θ η", + "ç ĸ", + "Ø Ł", + "i ÅŁtir", + "iÅŁ tir", + "iÅŁti r", + "ĠУкÑĢаÑĹ Ð½Ð¸", + "ĠУкÑĢаÑĹн и", + "ë° ĺ", + "à¥ĩ à¤ĸ", + "à¥ĩठĸ", + "Ġv á»ĭ", + "Ġvá» ĭ", + "Î ¥", + "Ġ ãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢ ĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢ ĠãĢĢ", + "ĠãĢĢĠ ãĢĢĠãĢĢ", + "Ġb ằng", + "Ġt á»ķ", + "Ġtá» ķ", + "о ли", + "ол и", + "๠Ĩ", + "e zi", + "ez i", + "Ġ ни", + "Ġн и", + "Ġ ÎĽ", + "ĠÎ Ľ", + "Ġr ất", + "μ ÏĢ", + "ж д", + "ा रत", + "ार त", + "Ġu ž", + "à¥ĩ स", + "à¥ĩठ¸", + "ا ÙĨد", + "اÙĨ د", + "Ġb ý", + "à¥ĭ ल", + "d ÄĽl", + "dÄĽ l", + "ìķ ĺ", + "Ġ جد", + "Ġج د", + "å ³", + "ื à¹ī", + "Ġb ản", + "ạ ch", + "ạc h", + "ĠÅŁ ey", + "Ġ Ùĩر", + "ĠÙĩ ر", + "Ġ jen", + "Ġj en", + "Ġje n", + "Ġв Ñĸн", + "ĠвÑĸ н", + "es inde", + "esi nde", + "esin de", + "Ġ हम", + "Ġह म", + "çł Ķ", + "à¸ļ à¸ļ", + "Ġch ức", + "Ġchứ c", + "ึ à¸ĩ", + "m alar", + "ma lar", + "mal ar", + "ĠdeÄŁ il", + "æĿ ±", + "Ġt ác", + "Ġtá c", + "Ġk iÅŁ", + "Ġki ÅŁ", + "Ġt á»±", + "Ġtá» ±", + "à¥į ध", + "à¥įठ§", + "à¸Ļ à¸Ĺ", + "ÎŁ Î¥", + "ÎŁÎ ¥", + "ÑģÑĮ кого", + "ÑģÑĮк ого", + "ÑģÑĮко го", + "Ġ ध", + "Ġठ§", + "Ġ ìĿĺ", + "ĠìĿ ĺ", + "ÙĨ Ø©", + "ü s", + "è «", + "Ġtaraf ından", + "ħ n", + "Ġk inh", + "Ġki nh", + "Ġkin h", + "Ïĥ ι", + "à¥Ģ à¤ķ", + "íı ¬", + "ا ÙħÙĦ", + "اÙħ ÙĦ", + "ĠV iá»ĩt", + "Ġ ÏĦον", + "ĠÏĦ ον", + "ĠÏĦο ν", + "Ġ تÙĨ", + "Ġت ÙĨ", + "Ġà¤ħ ध", + "à¹Ī าà¸Ļ", + "à¹Īา à¸Ļ", + "r ı", + "à¤Ĥ द", + "é ª", + "Ġch úng", + "Ġchú ng", + "г и", + "ÏĦ αν", + "ÏĦα ν", + "Ġд оп", + "Ġдо п", + "н Ñĸй", + "нÑĸ й", + "он алÑĮ", + "она лÑĮ", + "Î ĵ", + "Ġb üyük", + "Ġbü yük", + "Ġbüy ük", + "á ¼", + "à¥Ģ र", + "Ø° Ùĩ", + "Ġ ìķĦìĿ´", + "ĠìķĦ ìĿ´", + "Ġdo anh", + "Ġ ÅĻÃŃ", + "ĠÅĻ ÃŃ", + "ÑĨ Ñı", + "Ġt Æ°", + "Ġ सर", + "Ġस र", + "Ġm ÃŃst", + "ĠmÃŃ st", + "Ġë° ı", + "Ø´ ÙĨ", + "Ñĸ б", + "Ġ ãĢĢãĢĢ", + "ĠãĢĢ ãĢĢ", + "çĻ ½", + "о Ñģп", + "оÑģ п", + "к Ñĸв", + "кÑĸ в", + "Ġt ế", + "ãģ Ń", + "Ġt Ỽi", + "Ġtá» Ľi", + "Ġ ìļ°", + "Ġìļ °", + "æľ ĥ", + "ا ÛĮد", + "اÛĮ د", + "æ §", + "ìł IJ", + "Ġd urum", + "Ġdu rum", + "Ġdur um", + "à¹Ģ à¸Ĭ", + "à¹ĢภĬ", + "à¥Ģ त", + "ĠÙĩ ÙĪ", + "à¥Ĥ प", + "Ġgö re", + "Ġgör e", + "Ġ ÑĢоб", + "ĠÑĢ об", + "Ġth iết", + "Ġthi ết", + "a jÃŃ", + "aj ÃŃ", + "ĠاÛĮ راÙĨ", + "âĢ ı", + "ÑģÑĮ коÑĹ", + "ÑģÑĮк оÑĹ", + "ÑģÑĮко ÑĹ", + "ç ħ", + "Ġ ìĦ¸", + "ĠìĦ ¸", + "á» «", + "Ġ à¸Ĥ", + "ĠภĤ", + "ů m", + "ëŀ Į", + "ι κή", + "ικ ή", + "Ġм ог", + "Ġмо г", + "ÙĨ ÙĬ", + "ãģ ļ", + "ा ब", + "ाठ¬", + "æ ¢", + "ع Ùĩ", + "ÑĶ м", + "Ġ ά", + "ĠÎ ¬", + "οÏħ ÏĤ", + "ز ار", + "زا ر", + "ê± ´", + "s ká", + "sk á", + "Ġ اÙĬ", + "Ġا ÙĬ", + "Ġi lg", + "Ġil g", + "Ġ sı", + "Ġs ı", + "e leri", + "el eri", + "eler i", + "ele ri", + "Ġ ÎĹ", + "ĠÎ Ĺ", + "u yor", + "uy or", + "uyo r", + "ठ·", + "ि म", + "िठ®", + "е ва", + "ев а", + "ä»Ģ ä¹Ī", + "ุ à¹Ī", + "à¹ī าà¸ĩ", + "à¹īา à¸ĩ", + "Ġh iá»ĩu", + "Ġhi á»ĩu", + "Ġ اع", + "Ġا ع", + "ĠØ§Ø ¹", + "Ġö zel", + "Ġöz el", + "ν η", + "ëĦ ¤", + "Ġto Ãłn", + "Ġm oh", + "Ġmo h", + "ĠÑı кÑĸ", + "ĠÑıк Ñĸ", + "ç Ĭ", + "mak tadır", + "makta dır", + "makt adır", + "ت اب", + "تا ب", + "Ġ ÑģÑĥ", + "ĠÑģ Ñĥ", + "Ġ yük", + "Ġy ük", + "Ġ Χ", + "ĠÎ §", + "з на", + "зн а", + "о Ñħ", + "Æ° u", + "à¸Ĺ ร", + "ãħ ĭ", + "Ġkar ÅŁÄ±", + "ĠkarÅŁ ı", + "Ùħ ÛĮ", + "Ġ ÑĨÑĸ", + "ĠÑĨ Ñĸ", + "ا دÛĮ", + "اد ÛĮ", + "à¥Ģ ।", + "Ïģ η", + "л ов", + "ло в", + "å¤ «", + "Ġph ân", + "Ġп оп", + "Ġпо п", + "ç· ļ", + "Ñı н", + "ุ à¸ĵ", + "ÑģÑĤ Ñĥп", + "ίν αι", + "ίνα ι", + "ĠÑĢ окÑĥ", + "ĠÑĢок Ñĥ", + "l arda", + "lar da", + "è» Ĭ", + "Ïģ Ïī", + "ÙĪ اÙĩ", + "ÙĪا Ùĩ", + "è ħ", + "à¥į रत", + "à¥įर त", + "å· ±", + "Ġ ÑĢÑĥ", + "ĠÑĢ Ñĥ", + "Ġth á»ĭ", + "Ġthá» ĭ", + "ĠÄij iá»ĩn", + "ĠÄiji á»ĩn", + "ìĸ ij", + "n ého", + "né ho", + "ส ม", + "ê° ģ", + "a cÃŃ", + "ac ÃŃ", + "Ġг ода", + "Ġгод а", + "k az", + "ka z", + "Ġb öl", + "Ġbö l", + "Ġg ian", + "Ġgi an", + "Ġgia n", + "à¸Ľ ร", + "ï¾ ŀ", + "ั à¸ķ", + "Ġg erç", + "Ġger ç", + "Ġ اج", + "Ġا ج", + "ĠØ§Ø ¬", + "Ġ ή", + "ĠÎ ®", + "Ùij Ùİ", + "Ñģ кого", + "Ñģк ого", + "Ñģко го", + "ÑĢ аÑħ", + "ÑĢа Ñħ", + "Ġ Åł", + "ĠÅ ł", + "Ġ à¤Ľ", + "ĠठĽ", + "о ÑģÑĤÑĸ", + "оÑģ ÑĤÑĸ", + "оÑģÑĤ Ñĸ", + "ë³ ¸", + "ÑģÑĮ кий", + "ÑģÑĮк ий", + "Û± Û¹", + "Û±Û ¹", + "Ñĥ ва", + "Ñĥв а", + "ا ÙĦÙħ", + "اÙĦ Ùħ", + "ĠÙħ ص", + "ëį ĺ", + "b ÃŃ", + "Ġ ÙĪج", + "ĠÙĪ ج", + "ÏĦ ÏĮ", + "e bilir", + "eb ilir", + "Ġt iếp", + "Ġti ếp", + "Ġtiế p", + "é ¤", + "Ġ ä¸Ģ", + "Ġä¸ Ģ", + "ĠÑģ ÑĢед", + "ë Ĥ¨", + "ëĤ ¨", + "ε Ïģι", + "εÏģ ι", + "ا Ø«", + "Ø§Ø «", + "Ñģ ов", + "Ñģо в", + "Ïĩ ε", + "Ġ ë¶Ħ", + "Ġë¶ Ħ", + "Ġta ké", + "Ġtak é", + "Ġd üz", + "Ġdü z", + "Ġ íıī", + "Ġíı ī", + "Ġ اص", + "Ġا ص", + "ĠØ§Ø µ", + "ĠÏĥ ÏĦην", + "ĠÏĥÏĦη ν", + "ë° Ķ", + "Ġh á»Ļi", + "Ġhá»Ļ i", + "ر Ùĩ", + "ب ÛĮ", + "в е", + "Ġا ÙĦØ·", + "ĠاÙĦ Ø·", + "Ġ ÑĢез", + "ĠÑĢ ез", + "ĠÑĢе з", + "ب ار", + "با ر", + "Ġgi ải", + "Ġgiả i", + "ãģ« ãģª", + "ol eÄį", + "ole Äį", + "ठł", + "; :", + "ä½ ı", + "Ú© Ùĩ", + "Ġ Φ", + "ĠÎ ¦", + "Ġ ÑĥÑĩ", + "ĠÑĥ Ñĩ", + "âĹı âĹı", + "ู à¸ģ", + "à¥ĩ व", + "à¥ĩठµ", + "Ïĥ α", + "Ġ اÙĨت", + "Ġا ÙĨت", + "ĠاÙĨ ت", + "Ġв п", + "Ġqu ả", + "e nin", + "en in", + "eni n", + "Ġ êµIJ", + "Ġêµ IJ", + "μ ά", + "Ú© ت", + "ÙĤ Ùĩ", + "Ġ Türkiye", + "ĠTür kiye", + "ĠTürk iye", + "Ġth ức", + "Ġthứ c", + "íĹ ĺ", + "iá»ĩ m", + "Ġत à¤ķ", + "Ġ éĩ", + "Ġé ĩ", + "़ ा", + "ĠØ£ ÙĪ", + "á le", + "ál e", + "ç© ¶", + "ĠÅŁ ekil", + "ĠÅŁek il", + "к ого", + "ко го", + "ког о", + "ÑĪ иÑħ", + "ÑĪи Ñħ", + "ا ÛĮØ´", + "اÛĮ Ø´", + "ت ÙĨ", + "н ей", + "не й", + "à¸Ĺ ำ", + "Ġ Ñıв", + "ĠÑı в", + "ر Ùħ", + "Ġm áy", + "Ġmá y", + "ห ม", + "ı yla", + "ıy la", + "Ġc ầu", + "Ġд об", + "Ġдо б", + "Ġ ìŀ¥", + "Ġìŀ ¥", + "o vý", + "ov ý", + "ι κÏĮ", + "ικ ÏĮ", + "Ġ ãħĩ", + "Ġãħ ĩ", + "Ġ ÑĤеÑĢ", + "ĠÑĤ еÑĢ", + "ĠÑĤе ÑĢ", + "Į Ĵ", + "س ÙĬ", + "Ġol uÅŁ", + "Ġb yla", + "Ġby la", + "Ġbyl a", + "ع ÙĦ", + "Ġ ÙĥاÙĨ", + "ĠÙĥ اÙĨ", + "б оÑĢ", + "бо ÑĢ", + "ì² Ń", + "ãĥ ı", + "u bl", + "ub l", + "Ġ اخ", + "Ġا Ø®", + "ĠØ§Ø ®", + "ÙĦ ÙĪد", + "ÙĦÙĪ د", + "ت ÙĬ", + "l adı", + "la dı", + "lad ı", + "Ġ Ã¶ÄŁ", + "Ġö ÄŁ", + "r uh", + "ru h", + "ç ¿", + "Ġ بعد", + "Ġب عد", + "Ġبع د", + "ÎĻ Îij", + "i dir", + "id ir", + "idi r", + "ãģ« ãģ¯", + "Ġs öy", + "Ġsö y", + "Ġkh ách", + "Ġkhác h", + "Ġkhá ch", + "ÑĨ е", + "Ġ Ø´ÙĪد", + "ĠØ´ ÙĪد", + "ĠØ´ÙĪ د", + "ç ¸", + "Ġ ëħ¸", + "Ġëħ ¸", + "ú p", + "Ġn eden", + "Ġne den", + "Ġned en", + "Ġh óa", + "Ġà¤ī प", + "Ïĥ ειÏĤ", + "Ïĥει ÏĤ", + "æĪ ¿", + "Ġ ³³", + "ĠÂł Âł", + "Ġ ìķĮ", + "Ġì ķĮ", + "Ġìķ Į", + "à¥Ģ ,", + "´ ij", + "ê u", + "ÑĢ ок", + "ÑĢо к", + "à¹Ģ à¸Ī", + "à¹ĢภĪ", + "Ġε ίναι", + "Ġ بÙĦ", + "Ġب ÙĦ", + "Ġ Ñģов", + "ĠÑģ ов", + "ĠÑģо в", + "Ġö nem", + "Ġön em", + "Ġöne m", + "Ġ à¸ĭ", + "Ġภĭ", + "ì§Ģ ë§Į", + "å® ĺ", + "ê² ©", + "ìĦ Ŀ", + "Ġ až", + "Ġa ž", + "Ġd uy", + "Ġdu y", + "ãģ¨ ãģĦ", + "Ø Ľ", + "δ ο", + "θ ε", + "Ùĥ اÙĨ", + "ठ¢", + "ा à¤ĵ", + "ाठĵ", + "Ġd á»ĭch", + "Ġdá»ĭ ch", + "á»Ļ ng", + "á»Ļn g", + "ส ำ", + "Ä ı", + "Ġ ÑĹÑħ", + "ĠÑĹ Ñħ", + "α λ", + "e Äį", + "ç² ¾", + "Ġ зв", + "Ġз в", + "èĩª å·±", + "Ġ اÙĦÙĦÙĩ", + "ĠاÙĦ ÙĦÙĩ", + "ĠاÙĦÙĦ Ùĩ", + "Ġ СÑĤ", + "ĠС ÑĤ", + "Ġ سÙĨÚ¯", + "Ġس ÙĨÚ¯", + "ĠسÙĨ Ú¯", + "Ġ дом", + "Ġд ом", + "Ġдо м", + "г оÑĤов", + "го ÑĤов", + "гоÑĤ ов", + "п овÑĸд", + "пов Ñĸд", + "по вÑĸд", + "Ġ Bá»Ļ", + "ĠB á»Ļ", + "à¥įय à¤ķ", + "Ø· Ø©", + "м ов", + "мо в", + "à¸Ĺ าà¸ĩ", + "ึ à¸ģ", + "Ġ Ñĸз", + "ĠÑĸ з", + "à¥ĭ à¤ľ", + "Ġgö ster", + "Ġ باشد", + "Ġبا شد", + "Ġباش د", + "i leri", + "il eri", + "ile ri", + "iler i", + "ĠÑģ еб", + "Ñī о", + "Ġãħĩ ãħĩ", + "ب ت", + "Ñģ е", + "à¥ĩ à¤ľ", + "à¥ĩठľ", + "Ġl ên", + "Ġ تÙĪ", + "Ġت ÙĪ", + "Ñĸ ÑģÑĤÑĮ", + "ÑĸÑģ ÑĤÑĮ", + "ÑĸÑģÑĤ ÑĮ", + "ï¾Ĩ ï¾Ĩ", + "Ġth Æ°á»Ŀng", + "Ġol duÄŁu", + "Ġoldu ÄŁu", + "ĠolduÄŁ u", + "v ÄĽt", + "vÄĽ t", + "ìĨ į", + "ãģĿ ãģĨ", + "Ġ ìĦ±", + "ĠìĦ ±", + "ë° ľ", + "Ġ à¸ģาร", + "Ġà¸ģ าร", + "Ġ Ø´Ùĩر", + "ĠØ´ Ùĩر", + "ĠØ´Ùĩ ر", + "s led", + "sl ed", + "ả nh", + "ản h", + "æŀ Ĺ", + "l acak", + "la cak", + "lac ak", + "Ġm ình", + "Ú© ÛĮ", + "Ġ à¹ĥà¸Ļ", + "Ġd ùng", + "Ġdù ng", + "Ġм аÑģ", + "Ġма Ñģ", + "ÑĦ ек", + "æ° Ķ", + "é §", + "Ġ اØŃ", + "Ġا ØŃ", + "ĠØ§Ø Ń", + "èµ °", + "ÎĻ Îļ", + "à¥ĩ ।", + "ÑģÑĮ ка", + "ÑģÑĮк а", + "Ġ ÑĩаÑģÑĤ", + "ĠÑĩ аÑģÑĤ", + "ĠÑĩа ÑģÑĤ", + "ĠÑĩаÑģ ÑĤ", + "lar ının", + "ların ın", + "larını n", + "Ġ ê¹Ģ", + "Ġê¹ Ģ", + "ì¸ µ", + "н ими", + "ни ми", + "ним и", + "èª ŀ", + "åĢ ĭ", + "Ġ êµŃ", + "Ġêµ Ń", + "к оÑĢ", + "ко ÑĢ", + "m aya", + "ma ya", + "may a", + "ิ à¹Ĥà¸Ļ", + "ิà¹Ĥ à¸Ļ", + ". ศ", + "Ġh á»ĩ", + "Ġhá» ĩ", + "Ġ تÙĤ", + "Ġت ÙĤ", + "γ κ", + "Ġà¤Ĩप à¤ķ", + "Ñģ ÑĤоÑĢ", + "ÑģÑĤ оÑĢ", + "ĠÄij o", + "Ġch ủ", + "ا ÛĮت", + "اÛĮ ت", + "ĠQu á»ijc", + "г лÑı", + "гл Ñı", + "ãĢĤ ãĢįĊĊ", + "ãĢĤãĢį ĊĊ", + "Ġn Ãło", + "à¸Ń ล", + "æĬ Ĭ", + "ÙĪ رت", + "ÙĪر ت", + "Ġb ude", + "Ġbu de", + "Ġbud e", + "æĽ ¸", + "e lik", + "el ik", + "eli k", + "Ġ جÙĩ", + "Ġج Ùĩ", + "ĠبÙĪ ابة", + "èĬ ±", + "د ار", + "دا ر", + "Ġb ýt", + "Ġbý t", + "Ñĩ е", + "ãĤĵ ãģł", + "ĠÙħ Ø·", + "l ere", + "le re", + "ler e", + "ÎĹ Î£", + "íĺ ķ", + "âĸ į", + "ÄŁ u", + "Ġв з", + "ÙĬ ز", + "ĠÐł оÑģ", + "íĭ °", + "Ġد اش", + "ì§ ij", + "a tı", + "at ı", + "m esi", + "me si", + "mes i", + "ãĤī ãĤĮ", + "ů v", + "r át", + "rá t", + "оÑģ об", + "åIJ Ħ", + "uy á»ĩn", + "uyá»ĩ n", + "åģ ļ", + "ü st", + "üs t", + "éĩ İ", + "α Ïĥ", + "Ġm ặt", + "е лов", + "ел ов", + "ело в", + "åį ļ", + "д ж", + "Ġد ارد", + "Ġدار د", + "Ġf ark", + "Ġfa rk", + "Ġfar k", + "à¹ī วย", + "à¹īว ย", + "о ни", + "он и", + "Ġب Ø®", + "à¥ģ त", + "à¥ģठ¤", + "ĠÄij ây", + "α Ïģα", + "αÏģ α", + "Ġ δια", + "Ġδ ια", + "Ġδι α", + "Ġ è¯", + "Ġè ¯", + "к аÑħ", + "ка Ñħ", + "ch áz", + "z enÃŃ", + "ze nÃŃ", + "zen ÃŃ", + "ÑĢ оп", + "ÑĢо п", + "à¥Ģ म", + "í Ĩµ", + "íĨ µ", + "d ü", + "à¸ł าà¸ŀ", + "Ġ íĬ", + "Ġí Ĭ", + "ÙĪ ا", + "Ġt á»ijt", + "Ġtá»ij t", + "ï¼Ł ãĢįĊĊ", + "ï¼ŁãĢį ĊĊ", + "Ġ æľĪ", + "Ġnh Æ°ng", + "ĠnhÆ° ng", + "Ġne ž", + "à¥ĭ ड", + "ìĹIJ ê²Į", + "à¤Ĥ ड", + "¶ Į", + "Ġ меÑģÑĤ", + "Ġм еÑģÑĤ", + "ा à¤ģ", + "ाठģ", + "ì¦ Ŀ", + "ĠÄij ang", + "ĠÄija ng", + "à¸Ń à¸Ķ", + "í ĽĦ", + "á»į i", + "sk ého", + "ské ho", + "Ġд ок", + "Ġдо к", + "Ġ تص", + "Ġت ص", + "Ġph òng", + "Ġ ê°ķ", + "Ġê° ķ", + "Ġtr Æ°á»Ľc", + "í ijľ", + "Ù Ķ", + "Ġph ÃŃ", + "Ġch á»įn", + "ä¹ IJ", + "ĠÅŁek ilde", + "ĠÅŁekil de", + "Ġ íİ", + "Ġí İ", + "é º", + "ë £¨", + "ë£ ¨", + "à¥Ī ।Ċ", + "à¥Ī। Ċ", + "ÙĪ رÛĮ", + "ÙĪر ÛĮ", + "Ñģ ÑĤÑĢа", + "ÑģÑĤ ÑĢа", + "ÑģÑĤÑĢ а", + "il di", + "ild i", + "Ġα Ïħ", + "в аннÑı", + "ван нÑı", + "ìļ ¸", + ". âĢľĊĊ", + ".âĢľ ĊĊ", + "ĠÑĤак же", + "ëĵ ±", + "е ка", + "ек а", + "æī į", + "Ùħ Ø©", + "Ġph Æ°Æ¡ng", + "é© ¬", + "ãĢĢ ĠãĢĢ", + "ãĢĢĠ ãĢĢ", + "ov ých", + "ový ch", + "ี ยà¸ĩ", + "ีย à¸ĩ", + "ĠT ru", + "ĠTr u", + "е Ñģп", + "еÑģ п", + "st up", + "stu p", + "Ä Į", + "Ġdal Å¡ÃŃ", + "ز ÛĮ", + "Ġ 매", + "Ġë§ ¤", + "Ġ обÑĢаз", + "Ġоб ÑĢаз", + "ĠобÑĢа з", + "Ġaç ık", + "Ġaçı k", + "ê° ķ", + "Ùģ ادÙĩ", + "Ú¯ اÙĨ", + "à¹ī à¸Ļ", + "ẩ n", + "å·¥ ä½ľ", + "Ġ तर", + "Ġत र", + "ÙĬ ع", + "Ġ ãĢĬ", + "ĠãĢ Ĭ", + ", âĢľ", + "Ġ nev", + "Ġn ev", + "Ġne v", + "ั à¸į", + "ÄŁ ını", + "ģın ı", + "Ġ jin", + "Ġj in", + "Ġji n", + "ا خت", + "اخ ت", + "س ر", + "Ġt Ãłi", + "Ġkter á", + "Ġا ÙĦÙĦ", + "ĠاÙĦ ÙĦ", + "ठħ", + "iz met", + "izm et", + "à¥ģ म", + "à¥ģठ®", + "า ะ", + "าภ°", + "Ġ ê·", + "Ġê ·", + "l ıģı", + "lı ģı", + "lıģ ı", + "çı ¾", + "li ÄŁi", + "liÄŁ i", + "êµ °", + "a lık", + "al ık", + "alı k", + "Ġد ÙĪر", + "ĠدÙĪ ر", + "Ġ ìĭ¤", + "Ġìĭ ¤", + "Ġз аÑģ", + "Ġза Ñģ", + "ÙĤ ÙĬ", + "Ġ ứng", + "Ġ ÙĥÙĩ", + "ĠÙĥ Ùĩ", + "ÎŁ Σ", + "ÎŁÎ £", + "è¨ Ń", + "ç Į", + "ãģĦ ãģŁ", + "íĺ Ħ", + "Ġ ÑĤе", + "ĠÑĤ е", + "е ÑĢÑĸ", + "еÑĢ Ñĸ", + "s ız", + "sı z", + "Ġ ý", + "Ġà ½", + "д ов", + "до в", + "Ġ à¤ĩसà¤ķ", + "Ġà¤ĩस à¤ķ", + "г од", + "го д", + "Ġby lo", + "Ġbyl o", + "าà¸Ħ ม", + "е нием", + "ен ием", + "ени ем", + "ение м", + "Ð ¨", + "æľ ¯", + "Ġप हल", + "Ġपह ल", + "Ġ aÅŁ", + "Ġa ÅŁ", + "ि à¤ľ", + "िठľ", + "åĵ ¡", + "в аÑĢ", + "ва ÑĢ", + "à¹ī ำ", + "â ĮĴ", + "ov án", + "ová n", + "Ġgi úp", + "Ð ¥", + "ĠÑģ Ñĥд", + "ĠÑģÑĥ д", + "Ġà¤ķ म", + "ạ m", + "ر س", + "Ġ 人", + "Ġ بÛĮ", + "Ġب ÛĮ", + "Ġà¤īन à¤ķ", + "ë¦ ½", + "áºŃ y", + "Ġv áºŃt", + "л ÑıеÑĤÑģÑı", + "лÑı еÑĤÑģÑı", + "лÑıеÑĤ ÑģÑı", + "Ġs eç", + "Ġse ç", + "Ġ ì½", + "Ġì ½", + "ÑĢ Ñĥж", + "ÑĢÑĥ ж", + "ت ص", + "| :", + "Ġ ëł", + "Ġë ł", + "и ми", + "им и", + "Ġ лÑİб", + "ĠлÑİ Ð±", + "Ġ à¸ľ", + "Ġภľ", + "ï¼Į ä½Ĩ", + "Ġ нав", + "Ġн ав", + "Ġна в", + "âĢ ¬", + "à¹Ī าย", + "à¹Īา ย", + "Ġ رس", + "Ġر س", + "s iniz", + "sin iz", + "ë ¨", + "е ниÑİ", + "ен иÑİ", + "ени Ñİ", + "Ġ ล", + "Ġภ¥", + "ا سÛĮ", + "اس ÛĮ", + "ॠľ", + "ĠÙ¾ ÛĮØ´", + "ĠÙ¾ÛĮ Ø´", + "ί δ", + "Ġ Ù¾ÛĮ", + "ĠÙ¾ ÛĮ", + "еÑĢж ав", + "ठĨ", + "ĠdÃ¼ÅŁ ün", + "å¿ «", + "ÑĢ еÑģ", + "ÑĢе Ñģ", + "åħ «", + "ÑĤ Ñĸ", + "ि à¤Ł", + "िठŁ", + "Ġ ÑĤеÑħ", + "ĠÑĤ еÑħ", + "ĠÑĤе Ñħ", + "ú t", + "ÙĨ Ùĩ", + "Ġ ÙĨØ´", + "ĠÙĨ Ø´", + "çĻ º", + "Ġ ê°¤", + "Ġê° ¤", + "л ед", + "ле д", + "Ġ ëĵ¤", + "Ġëĵ ¤", + "Ġbi lg", + "Ġbil g", + "Ġsp oleÄį", + "Ġspol eÄį", + "Ġspole Äį", + "ĠÄij Æ¡n", + "Ġ à¤īत", + "Ġà¤ī त", + "Ġtr á»ĭ", + "Ġ عÙħ", + "Ġع Ùħ", + "Ġ ।", + "Ġà ¥¤", + "Ġॠ¤", + "Ġú Äį", + "ãģ ¸", + "ว à¸ģ", + "ĠÑģл ÑĥÑĩа", + "ĠÑģлÑĥÑĩ а", + "ĠÑģлÑĥ Ñĩа", + "á» įng", + "á»į ng", + "á»įn g", + "åı Ī", + "и ÑĤÑĥ", + "иÑĤ Ñĥ", + "æľī éĻIJ", + "ë¦ °", + "ëĭ ĺ", + "Ġho ạt", + "ĠìĿ´ ëıĻ", + "з наÑĩ", + "зна Ñĩ", + "зн аÑĩ", + "Ġاست ÙģادÙĩ", + "ĠпÑĢо ÑĨеÑģ", + "ĠпÑĢоÑĨ еÑģ", + "an ın", + "anı n", + "г Ñĥ", + "Ġ اÙĦØ«", + "ĠاÙĦ Ø«", + "æĹ¥ æľ¬", + "ι κά", + "ικ ά", + "ĠÑĹ ÑĹ", + "ì§ ģ", + "i nu", + "in u", + "Ġس از", + "ãĤ ¡", + "ï¾ ī", + "Ġ اÙĤ", + "Ġا ÙĤ", + "Ġk ế", + "ů sob", + "à¹ĩ à¸ģ", + "åIJ §", + "æ¼ Ķ", + "Ñī ие", + "Ñīи е", + "ç Ĩ", + "ÑĮ ого", + "à¥ĭ à¤Ł", + "ا Ù¾", + "ا٠¾", + "å ®¤", + "å® ¤", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Ġtr iá»ĥn", + "Ġtri á»ĥn", + "Ġt áºŃp", + "é£ Ł", + "ë ¹", + "ĠÑĩеÑĢ ез", + "Ġ ÑĨи", + "ĠÑĨ и", + "Ñģ Ñĥ", + "Ġ нем", + "Ġн ем", + "Ġне м", + "Ġ аÑĢ", + "Ġа ÑĢ", + "Ġ ÙĦا", + "ĠÙĦ ا", + "Ġ ì§Ħ", + "Ġì§ Ħ", + "ç Ł³", + "çŁ ³", + "Ġп ÑĢоб", + "ĠпÑĢ об", + "ĠпÑĢо б", + "Ġ ìĽIJ", + "ĠìĽ IJ", + "ÛĮ ÙĨÛĮ", + "ÛĮÙĨ ÛĮ", + "Ñİ Ñĩи", + "âĢ į", + "Û± Û³", + "Û±Û ³", + "ã Ĥ¬", + "ãĤ ¬", + "çłĶ 究", + "í Ĥ¤", + "íĤ ¤", + "Ġger çek", + "Ġgerç ek", + "ĠØŃ Ø³", + "íĶ ¼", + "èĤ ¡", + "Ġ ÏĦι", + "ĠÏĦ ι", + "ĠvÅ¡ ech", + "ĠvÅ¡e ch", + "Ġv ì", + "ا ÙĨÙĬ", + "اÙĨ ÙĬ", + "ĠÙĩ ست", + "Ġ ëĤ¨", + "Ġë Ĥ¨", + "ĠëĤ ¨", + "ÅĻ ej", + "ÅĻe j", + "е ÑĢг", + "еÑĢ г", + "Ġs öz", + "Ġsö z", + "ĠاÙĦ Ùħت", + "ĠاÙĦÙħ ت", + "Ġch ế", + "á»ĵ i", + "åı ¤", + "âĸį âĸį", + "á»ĵ ng", + "á»ĵn g", + "ãĥ ¢", + "Ġ ди", + "Ġд и", + "ε λ", + "Ġ она", + "Ġо на", + "Ġон а", + "Ġ най", + "Ġн ай", + "Ġна й", + "Ġ _{", + "Ġ_ {", + "п ол", + "по л", + "al iz", + "ali z", + "Ġt Äĥng", + "Ġ dÃŃ", + "Ġd ÃŃ", + "é p", + "Ġ ÙĦÙħ", + "ĠÙĦ Ùħ", + "Ġm ož", + "Ġmo ž", + "Ġng oÃłi", + "è Ĺ", + "Ġ Ñĩем", + "ĠÑĩ ем", + "ĠÄij á»ķ", + "ĠÄijá» ķ", + "е ÑĤа", + "еÑĤ а", + "åı ²", + "ĠÑģ каз", + "ĠÑģк аз", + "ĠÑģка з", + "ãĤ¿ ãĥ¼", + "а нÑĮ", + "ан ÑĮ", + "Ġg öz", + "Ġgö z", + "ë³ Ħ", + "ãģĭ ãģ£ãģŁ", + "Ġ ëįĶ", + "Ġëį Ķ", + "ĠÙĨ ÙĤ", + "Ġ ÑĥÑĩа", + "ĠÑĥ Ñĩа", + "ĠÑĥÑĩ а", + "Ġsa hip", + "Ġsah ip", + "ĠÑģ пе", + "ĠÑģп е", + "ί οÏħ", + "ίο Ïħ", + "ì ½Ķ", + "ì½ Ķ", + "Ġ ëĪ", + "Ġë Ī", + "m am", + "ma m", + "Ġr oce", + "Ġro ce", + "Ġroc e", + "Ġ ÙĨاÙħ", + "ĠÙĨ اÙħ", + "еÑĢ аÑĤÑĥ", + "еÑĢа ÑĤÑĥ", + "ı p", + "ãģĦ ãģ¦", + "Ġ íķĻ", + "Ġíķ Ļ", + "Ġ à¤ĩन", + "Ġà¤ĩ न", + "å ©", + "Ġnh iên", + "a tır", + "at ır", + "atı r", + "ÅĻ enÃŃ", + "ÅĻe nÃŃ", + "ÅĻen ÃŃ", + "د Ø©", + "ãĥª ãĥ¼", + "ล à¸ĩ", + "Ġ éĢ", + "Ġé Ģ", + "Ġ à¹Ģà¸Ľ", + "Ġà¹Ģ à¸Ľ", + "Ġà¹ĢภĽ", + "д Ñĸ", + "ÎŃ Ïģ", + "ìĦ ¤", + "г ÑĢа", + "es ine", + "esi ne", + "esin e", + "Ġ ее", + "Ġе е", + "Ġ iki", + "Ġi ki", + "Ġik i", + "Ġت ج", + "lar ına", + "ları na", + "ların a", + "d ür", + "dü r", + "ĠاÙĦ Ø°", + "Ùħ ت", + "ĠठIJ", + "ि द", + "िठ¦", + "Ġ ë¹", + "Ġë ¹", + "ÑĦоÑĢм а", + "ÑĦоÑĢ ма", + "Ġ они", + "Ġо ни", + "Ġон и", + "г оÑĢ", + "го ÑĢ", + "н еÑģ", + "не Ñģ", + "ìĺĢ ëĭ¤", + "ıl dı", + "Ġ çek", + "Ġç ek", + "Ġ дов", + "Ġд ов", + "Ġдо в", + "د ÛĮ", + "Ġ ÄĮesk", + "ĠÄĮ esk", + "ĠÄĮes k", + "ÑĪ а", + "Ġ ات", + "Ġا ت", + "ĠØ§Ø ª", + "å± ĭ", + "æĸ ¼", + "Ġ práv", + "Ġp ráv", + "Ġpr áv", + "Ġprá v", + "é mu", + "ém u", + "å¸ Ī", + "ãħĭ ãħĭ", + "Ġil gili", + "Ġilg ili", + "Ġilgi li", + "ห ว", + "ठĩ", + "ा ष", + "ाठ·", + "ëŀ ij", + "as yon", + "asy on", + "ÑĨ ÑĮ", + "à¹ģ à¸ķ", + "ợ i", + "Ġв ÑĭÑģ", + "ĠвÑĭ Ñģ", + "ÑĸлÑĮ ки", + "ĠкоÑĤоÑĢ Ñĭе", + "н ики", + "ни ки", + "ник и", + "Ġ اد", + "Ġا د", + "ĠØ§Ø ¯", + "Ġ živ", + "Ġž iv", + "Ġži v", + "Ġα ÏĢο", + "ĠαÏĢ ο", + "ر ض", + "ا Ø©", + "Ø§Ø ©", + "Ġk dyž", + "Ġkdy ž", + "ữ a", + "Ġ ëĮĢíķľ", + "ĠëĮĢ íķľ", + "Ġt ôi", + "Ġtô i", + "Ñĥ ÑĶ", + "ز ر", + "Ġ å¥", + "Ġå ¥", + "ãĥĭ ãĥĭ", + "ب Ø©", + "ÏĦ οÏĤ", + "ÏĦο ÏĤ", + "ÑĨи он", + "Ġ ÙħÙĬ", + "ĠÙħ ÙĬ", + "Ġ Äĥn", + "ĠÄ ĥn", + "à¥ĩ à¤Ĺ", + "à¥ĩठĹ", + "Ġ ÑĢег", + "ĠÑĢ ег", + "ĠÑĢе г", + "ĠlỼ n", + "ì¤ Ģ", + "ìĭ ¬", + "Ġb iết", + "Ġbi ết", + "a ları", + "al arı", + "ala rı", + "alar ı", + "Ùģ ÙĬ", + "ä¸ĸ çķĮ", + "Ġне обÑħодим", + "Ġнеоб Ñħодим", + "à¸Ļ ว", + "ν ÏĦ", + "Ġ ảnh", + "íĸ Ī", + "Ġ वर", + "Ġव र", + "h led", + "hl ed", + "hle d", + "ิ à¸Ī", + "æŃ »", + "ĠاÙĦ تÙĬ", + "ĠاÙĦت ÙĬ", + "н оÑģ", + "но Ñģ", + "p rav", + "pr av", + "pra v", + "Ñı ÑĤи", + "ÑıÑĤ и", + "Ñī а", + "ÙĪ ÙĨÙĩ", + "ÙĪÙĨ Ùĩ", + "Ġ aÄŁ", + "Ġa ÄŁ", + "à¸ŀ ระ", + "à¸ŀร ะ", + "Ġth á»ijng", + "Ġthá» ijng", + "ÑĦ и", + "Ġг олов", + "Ġгол ов", + "Ġk hoa", + "Ġkh oa", + "Ġkho a", + "Ġ ëłĪ", + "Ġëł Ī", + "ãģ Ĵ", + "Ġget ir", + "Ġge tir", + "Ø´ ت", + "ж еннÑı", + "жен нÑı", + "е нÑĸ", + "ен Ñĸ", + "Ġgi ữ", + "Ġgiá» ¯", + "ler inin", + "leri nin", + "lerin in", + "lerini n", + "à¥Ģ व", + "éģ ¸", + "स र", + "ĠÑĩ елов", + "à¥į à¤ľ", + "à¥įठľ", + "ĠбÑĥ ло", + "Ġ اÙĨد", + "Ġا ÙĨد", + "ĠاÙĨ د", + "ั à¸Ļà¸Ĺ", + "ัà¸Ļ à¸Ĺ", + "è® ©", + "Ġq uyá»ģn", + "Ġquy á»ģn", + "ĠØŃ Ø§ÙĦ", + "ì² ĺ", + "Ġ лÑİд", + "ĠлÑİ Ð´", + "Ïģ Ïĩ", + "алÑĮ но", + "ãĢĢ ãĥ½", + "ê¸ ī", + "ãĤ ±", + "ĠÙħ رد", + "ĠÙħر د", + "Ġ ông", + "Ġô ng", + "Ġ اش", + "Ġا Ø´", + "ĠØ§Ø ´", + "大 åѦ", + "ì¦ Ī", + "æĪ ¦", + "e yi", + "ey i", + "Ġ ÐIJн", + "ĠÐIJ н", + "ि प", + "िठª", + "Ġt iêu", + "Ġti êu", + "Ø´ ÛĮ", + "ắ n", + "é ŃĶ", + "éŃ Ķ", + "ãģ¨ ãģĦãģĨ", + "ãģ¨ãģĦ ãģĨ", + "Ġ ìłĢ", + "Ġì łĢ", + "Ġìł Ģ", + "к ÑĤи", + "кÑĤ и", + "Ġ ÙħØŃÙħد", + "ĠÙħØŃ Ùħد", + "Ġ íĨµ", + "Ġí Ĩµ", + "ĠíĨ µ", + "ุ ม", + "åį ¡", + "о ÑĢов", + "оÑĢ ов", + "оÑĢо в", + "к оÑİ", + "ко Ñİ", + "Ġl á»±c", + "å³ ¶", + "Ġ رÙĪز", + "Ġر ÙĪز", + "ĠرÙĪ ز", + "Ñħ Ñĸд", + "Ġh á»ĵ", + "Ġhá» ĵ", + "Ġ ül", + "Ġü l", + "Ġ Ø´Ùħ", + "ĠØ´ Ùħ", + "ÙĨ س", + "ب ÙĪ", + "Ġth êm", + "ạ c", + "åº ľ", + "e chn", + "ec hn", + "ech n", + "Ġ Îļα", + "ĠÎļ α", + "èij Ĺ", + "çľ ¼", + "á h", + "Ġ ι", + "ĠÎ ¹", + "ê¹Į ì§Ģ", + "m az", + "ma z", + "λο γ", + "Ġjs me", + "Ġ á¼", + "Ġá ¼", + "Ġп ÑĢави", + "ĠпÑĢ ави", + "ĠпÑĢав и", + "ĠпÑĢа ви", + "к лад", + "Ġth ủ", + "Ġthá» §", + "s ah", + "sa h", + "ÄŁ it", + "ÄŁi t", + "Ġ ÙģÛĮ", + "ĠÙģ ÛĮ", + "ен но", + "à¥ģ à¤Ľ", + "à¥ģठĽ", + "ãģ »", + "çĻ ¾", + "и ÑĤа", + "иÑĤ а", + "ĠбÑĭ ло", + "ĠбÑĭл о", + "Ġv ys", + "Ġvy s", + "Ġ ì¶ľ", + "Ġì¶ ľ", + "ắ ng", + "ắn g", + "ĠÄij ại", + "ĠÙħ ÙĪرد", + "ĠÙħÙĪ رد", + "ĠÙħÙĪر د", + "е ла", + "ел а", + "Ñĸ ÑĪ", + "л еннÑı", + "лен нÑı", + "æ IJ", + "Ġ нед", + "Ġн ед", + "Ġне д", + "i yat", + "iy at", + "iya t", + "ì ¼", + "Ġol duÄŁunu", + "ĠolduÄŁ unu", + "ĠolduÄŁu nu", + "د اÙĨ", + "دا ÙĨ", + "í Ŀ", + "Ġ سÛĮ", + "Ġس ÛĮ", + "ี à¸ģ", + "ÄĽ st", + "ım ı", + "ä¸ī ä¸ī", + "ãĤ ½", + "ĠÑĤ еп", + "ĠÑĤе п", + "Ġ ÑĢай", + "ĠÑĢ ай", + "ĠÑĢаР¹", + "ĠÑĢа й", + "ा ध", + "ाठ§", + "Ġ ìĤ¬ëŀĮ", + "ĠìĤ¬ ëŀĮ", + "ĠT rung", + "ĠTr ung", + "ĠTru ng", + "ï¼ı ï¼ı", + "Ġt âm", + "Å¡ enÃŃ", + "Å¡e nÃŃ", + "Å¡en ÃŃ", + "ãĥ į", + "Ġ ÏĦοÏħÏĤ", + "ĠÏĦ οÏħÏĤ", + "ĠÏĦοÏħ ÏĤ", + "Ġ нÑĸ", + "Ġн Ñĸ", + "в ид", + "ви д", + "æ ¿", + "Ġ ظ", + "ĠØ ¸", + "ãĥ ¯", + "ì ¢ħ", + "ì¢ ħ", + "в аÑĤи", + "ва ÑĤи", + "ваÑĤ и", + "Ġqu á", + "ภ¤", + "ĠÄij Æ°á»Ŀng", + "à¥ģ द", + "à¥ģठ¦", + "r oj", + "ro j", + "Ġ ÑĥÑģ", + "ĠÑĥ Ñģ", + "é¦ Ļ", + "ì½ ĺ", + "Ġ ÙĪت", + "ĠÙĪ ت", + "ม าà¸ģ", + "มา à¸ģ", + "åĪ ĩ", + "Ġ án", + "Ġá n", + "Ġм ед", + "ìĹIJ ëĬĶ", + "Ġh lav", + "Ġhl av", + "ر ت", + "à¹ĥ à¸Ī", + "æ´ ²", + "Ġ лÑĸ", + "Ġл Ñĸ", + "æ Īĺ", + "æĪ ĺ", + "ÙĪ ÙĨد", + "ÙĪÙĨ د", + "è¶ ³", + "åĭ Ļ", + "çĶ ³", + "Ġ ì±", + "Ġì ±", + "ĠìĿ´ëıĻ íķ©ëĭĪëĭ¤", + "Ñī еÑģÑĤв", + "Ñīе ÑģÑĤв", + "Ġ ë¶Ī", + "Ġë ¶Ī", + "Ġë¶ Ī", + "ÙĦ ÙĪ", + "ü ven", + "èĪ ĩ", + "Ġgi Ỽi", + "Ġgiá» Ľi", + "Ġ ÙĪÙĤ", + "ĠÙĪ ÙĤ", + "Ġê°¤ ë¡ľê·¸", + "Ġ عاÙħ", + "Ġع اÙħ", + "ĺ IJ", + ": ::::", + ":: :::", + ":::: :", + "::: ::", + "Ġ Ñĥд", + "ĠÑĥ д", + "- ÑĤо", + "-ÑĤ о", + "Ġ ÑĦоÑĢ", + "ĠÑĦ оÑĢ", + "и ни", + "ин и", + "ãģĹ ãģĦ", + "ãģĹãģ Ħ", + "Ġê°¤ë¡ľê·¸ ë¡ľ", + "ãģ ³", + "ãĥ© ãĤ¤", + "e ná", + "en á", + "Ġ nez", + "Ġn ez", + "Ġne z", + "Ġönem li", + "Ġ ниÑħ", + "Ġн иÑħ", + "Ġни Ñħ", + "à¤Ĥ स", + "Ġà¤īस à¤ķ", + "à¥įर द", + "Ġn ói", + "Ġnó i", + "Ùĥ ÙĦ", + "ิ ว", + "κ ο", + "à¥ģ à¤ĸ", + "à¥ģठĸ", + "ö yle", + "öy le", + "ά λ", + "ó ng", + "ón g", + "ĠداÙĨ Ø´", + "Ġз б", + "ì »", + "à¸ľ ล", + "ëĵ¤ ìĿ´", + "Ġe tk", + "Ġet k", + "ر ات", + "را ت", + "Ġ εκ", + "Ġε κ", + "ÑĤ ÑĢа", + "ÑĤÑĢ а", + "à¥į तर", + "à¥įत र", + "à¤Ĥ ब", + "Ġм ÑĸÑģ", + "ĠмÑĸ Ñģ", + "æł ¹", + "ãĥ Ļ", + "Ġt á»ī", + "Ġtá» ī", + "à¹Ģ à¸ĭ", + "à¹Ģภĭ", + "ìĪ ł", + "ï¼Į ä¸į", + "ìĺ ¨", + "Ġm ÄĽst", + "ĠmÄĽ st", + "ģ µ", + "a zı", + "az ı", + "r ada", + "ra da", + "rad a", + "ÏĢ α", + "m é", + "ÙĨ اÙħÙĩ", + "ÙĨا ÙħÙĩ", + "ÙĨاÙħ Ùĩ", + "ا ÛĮÙĦ", + "اÛĮ ÙĦ", + "μ η", + "l uk", + "lu k", + "Ùĥ ÙĬ", + "Ġ ï¼ī", + "Ġï¼ ī", + "Ġ деÑĤ", + "Ġд еÑĤ", + "Ġде ÑĤ", + "Ġiç inde", + "Ġiçin de", + "Ġiçi nde", + "Ñı м", + "Ġd Æ°á»", + "ĠdÆ° á»", + "ĠпÑĢед ÑģÑĤав", + "ü re", + "ür e", + "åķ Ĭ", + "ĠÑĤ ÑĢÑĥ", + "ĠÑĤÑĢ Ñĥ", + "es ini", + "esi ni", + "esin i", + "Ġ але", + "Ġа ле", + "Ġал е", + "ãĥ³ ãĥī", + "ãĥ³ãĥ ī", + "à¥ĥ त", + "ε Ïħ", + "à¥ģ à¤Ĩ", + "à¥ģठĨ", + "Ġh iç", + "Ġhi ç", + "çĶ º", + "Ġ Ðĸ", + "ĠÐ ĸ", + "ç ħ§", + "çħ §", + "k á", + "Ġtr á»įng", + "Ġ تش", + "Ġت Ø´", + "ा श", + "ाठ¶", + "ĠÙħ Ø«", + "e tim", + "et im", + "eti m", + "Ġth ấy", + "Ġब ह", + "ع ت", + "ึ à¹ī", + "Ġs ev", + "Ġse v", + "Ñģ ÑĤа", + "ÑģÑĤ а", + "Ġc ứ", + "Ġt iá»ģn", + "Ġti á»ģn", + "à¥Ģ à¤ľ", + "Ñı г", + "ĠоÑĢг ани", + "ĠоÑĢган и", + "Ġб Ñĭл", + "ĠбÑĭ л", + "t ür", + "tü r", + "Ġب ازÛĮ", + "Ġبا زÛĮ", + "Ġباز ÛĮ", + "Ġ ìŀ¬", + "Ġìŀ ¬", + "व र", + "æľīéĻIJ åħ¬åı¸", + "k up", + "ku p", + "Ġ iyi", + "Ġi yi", + "Ġiy i", + "íķĺ ê²Į", + "ãĢĢ l", + "ãĤ· ãĥ§", + "ا رة", + "ار Ø©", + "ส ร", + "Ġt ÃŃch", + "ĠtÃŃ ch", + "Ġ каÑĢ", + "Ġк аÑĢ", + "Ġка ÑĢ", + "и б", + "ĠвÑĸд повÑĸд", + "ĠвÑĸдпов Ñĸд", + "Ġpo dle", + "Ġpod le", + "à¥įर à¤ķ", + "i yon", + "iy on", + "к оном", + "ко ном", + "кон ом", + "Ġ μÎŃ", + "Ġμ ÎŃ", + "Ġп ÑĢоиз", + "ĠпÑĢо из", + "Ġ âĢı", + "ĠâĢ ı", + "m ektedir", + "mekte dir", + "Ω ÎĿ", + "Ġb áo", + "à¸Ī ำ", + "ëį Ķ", + "ë¸ Į", + "Ġs ợ", + "ÛĮ رÛĮ", + "ÛĮر ÛĮ", + "о нÑĥ", + "он Ñĥ", + "ın daki", + "ında ki", + "ınd aki", + "алÑĮ ного", + "алÑĮно го", + "μ β", + "л из", + "ли з", + "Ġjej ich", + "æĸ ½", + "ä¾ ¿", + "l eÅŁtir", + "le ÅŁtir", + "leÅŁ tir", + "ĠÙĪ Ø£", + "Ġस ब", + "l erde", + "ler de", + "Ġ ÚĨÙĩ", + "ĠÚĨ Ùĩ", + "ÏĦ ÎŃ", + "Ġg ì", + "Ġ Ãļ", + "Ġà ļ", + "ĠÑĢаÑģ п", + "ĠÑĢа Ñģп", + "Ġt üm", + "à¹Ģ à¸ĩ", + "à¹Ģภĩ", + "èIJ ½", + "ìĨ ¡", + "à¹Ħ à¸Ĺย", + "m Ä±ÅŁtır", + "mÄ±ÅŁ tır", + "mÄ±ÅŁtı r", + "Ġ ÙĤرار", + "ĠÙĤر ار", + "Ġ à¸Ħาส", + "Ġà¸Ħ าส", + "Ġk ıs", + "Ġkı s", + "о ваниÑı", + "ов аниÑı", + "ова ниÑı", + "овани Ñı", + "ован иÑı", + "ãĤĤ ãģ®", + "د اÙħ", + "دا Ùħ", + "ìľ ¡", + "ol oj", + "olo j", + "ĠпоÑģл е", + "ĠпоÑģ ле", + "Ġ Так", + "ĠТ ак", + "ĠТа к", + "Ġб олее", + "Ġбол ее", + "ĠÄij á»ķi", + "ĠÄijá»ķ i", + "l ak", + "la k", + "í ħĮ", + "íħ Į", + "Ġa yn", + "Ġay n", + "Ñı Ñģ", + "Ġп ог", + "Ġпо г", + "Ġar asında", + "Ġaras ında", + "Ġara sında", + "Ġarası nda", + "Ī ¬", + "à¥Ĥ ल", + "Ġ ανα", + "Ġα να", + "Ġαν α", + "Ġq uyết", + "Ġquy ết", + "Ġthu á»Ļc", + "Ġd ün", + "Ġdü n", + "Ġp ÅĻes", + "ĠpÅĻ es", + "ĠpÅĻe s", + "ÑĦ Ñĸ", + "Ġ å¸", + "Ġå ¸", + "ا ÙĦÙĬ", + "اÙĦ ÙĬ", + "Ġп овеÑĢ", + "Ġпо веÑĢ", + "Ġпов еÑĢ", + "Ñĩ ина", + "Ñĩи на", + "Ñĩин а", + "s ko", + "sk o", + "çµ IJ", + "Ø ¡", + "Ġ гÑĢа", + "Ġг ÑĢа", + "ĠгÑĢ а", + "о ÑĤи", + "оÑĤ и", + "Ġqu á»ijc", + "ÑĨ Ñĸв", + "ÑĨÑĸ в", + "l endir", + "len dir", + "lendi r", + "в Ñĸд", + "вÑĸ д", + "Ġж иÑĤ", + "ü yor", + "üy or", + "ï¼Į ä»ĸ", + "lar ında", + "ları nda", + "ların da", + "Ġu yg", + "Ġuy g", + "Ġtr ÃŃ", + "Ġ Ø´ÙĨ", + "ĠØ´ ÙĨ", + "ا بÙĦ", + "اب ÙĦ", + "æ· ±", + "Âł p", + "Ñģ каÑı", + "Ñģк аÑı", + "Ñģка Ñı", + "о ÑĤа", + "оÑĤ а", + "ÙĪ Ø·", + "Ġ اط", + "Ġا Ø·", + "ĠØ§Ø ·", + "ä¾ Ĩ", + "Ġз аÑĤ", + "Ġза ÑĤ", + "Ġ име", + "Ġи ме", + "Ġим е", + "à¹Ģà¸Ĺ ศ", + "ëĭ ´", + "n ÄĽnÃŃ", + "nÄĽ nÃŃ", + "nÄĽn ÃŃ", + "Ñĥ лÑı", + "Ñĥл Ñı", + "- п", + "å ĺ", + "Ġв ип", + "Ġви п", + "аÑĢа кÑĤ", + "à¹Ģ à¸ļ", + "à¹Ģภļ", + "ç¦ ı", + "Ïģ Ïİ", + "س Ùĩ", + "à¥Į र", + "Ġdi ÄŁer", + "à¹Ĥ à¸Ķย", + "à¹Ĥà¸Ķ ย", + "ĠÑģп оÑģоб", + "ĠÑģпоÑģ об", + "åį ·", + "è ĸ", + "а нÑĤ", + "ан ÑĤ", + "Ñİ ÑĤÑĮÑģÑı", + "ÑİÑĤÑĮ ÑģÑı", + "ĠÑį ÑĤом", + "ĠÑįÑĤ ом", + "ĠÑįÑĤо м", + "Ġ ï½Ģ", + "Ġï½ Ģ", + "ส าม", + "ì m", + "ĠÑĪ к", + "Ġ à¸Ľà¸£à¸°", + "Ġà¸Ľ ระ", + "Ġà¸Ľà¸£ ะ", + "़ à¥Ģ", + "e kl", + "ek l", + "m uÅŁ", + "mu ÅŁ", + "ĠÑĤак ож", + "ÙĪ سط", + "ÙĪس Ø·", + "Ġ Äįi", + "ĠÄį i", + "ี à¸Ļ", + "ÛĮ ÙĨÙĩ", + "ÛĮÙĨ Ùĩ", + "ÄĽ k", + "å½ ¼", + "le rine", + "ler ine", + "leri ne", + "lerin e", + "ĠÄij ất", + "à¥ģ à¤ı", + "à¥ģठı", + "ол оÑģ", + "оло Ñģ", + "Ġ å°ı", + "Ġå° ı", + "ز ÙĬØ©", + "زÙĬ Ø©", + "Ġв ла", + "à¥Ģ ल", + "Ġ etti", + "Ġe tti", + "Ġet ti", + "Ġett i", + "ĠÑģ оÑģÑĤав", + "ĠÑģо ÑģÑĤав", + "ĠÑģоÑģÑĤ ав", + "ÙĦ اÙĦ", + "ÙĦا ÙĦ", + "Ġ çİ", + "Ġç İ", + "ĠpÅĻÃŃ pad", + "ëŁ °", + "ุ à¸ģ", + "Ġ Ñĩи", + "ĠÑĩ и", + "å ħį", + "åħ į", + "n ÄĽjÅ¡ÃŃ", + "nÄĽ jÅ¡ÃŃ", + "ิ ล", + "åį Ģ", + "s kých", + "sk ých", + "ský ch", + "า ศ", + "าภ¨", + "åIJ Ĺ", + "Ġ íĺĦ", + "Ġíĺ Ħ", + "Ġal ın", + "å§ Ķ", + "à¸ŀ ร", + "až d", + "Ġб ÑĸлÑĮ", + "ĠбÑĸ лÑĮ", + "ĠбÑĸл ÑĮ", + "à¹Ī วà¸Ļ", + "à¹Īว à¸Ļ", + "o og", + "oo g", + "a cı", + "ac ı", + "l ıģ", + "lı ÄŁ", + "Ġk hu", + "Ġkh u", + "Ġh izmet", + "Ġ éĽ", + "Ġé Ľ", + "Ġ Îĺ", + "ĠÎ ĺ", + "Ġde ÄŁer", + "ĠdeÄŁ er", + "åħ Ń", + "Ġ دÙĩ", + "Ġد Ùĩ", + "Ġn ÄĽk", + "ĠnÄĽ k", + "à¸Ħ à¸Ļ", + "е ÑĤÑĮ", + "еÑĤ ÑĮ", + "ب اÙĨ", + "با ÙĨ", + "ÏĦ ική", + "ÏĦικ ή", + "ÏĦι κή", + "ĠÄij á»ĭa", + "ĠÄijá»ĭ a", + "Ġ Công", + "ĠC ông", + "íĮ IJ", + "Ġк огда", + "ĠÚ© ÙĨد", + "ĠÚ©ÙĨ د", + "ãģ§ ãģį", + "ĠÏĢ εÏģι", + "ĠÏĢεÏģ ι", + "ĠÏĢε Ïģι", + "lar dan", + "larda n", + "Ġ зем", + "Ġз ем", + "ت ÙĪاÙĨ", + "تÙĪ اÙĨ", + "è³ ĩ", + "li kle", + "lik le", + "Ġt ụ", + "Ġtá» ¥", + "Ġd ẫn", + "Ġn ay", + "Ġna y", + "Ġ ÑģÑĤоÑĢ", + "ĠÑģ ÑĤоÑĢ", + "ĠÑģÑĤ оÑĢ", + "ĠÑģÑĤо ÑĢ", + "ĠØ´ Ùħا", + "ĠØ´Ùħ ا", + "Ø« ر", + "Ġd edi", + "Ġde di", + "Ġded i", + "к ое", + "ко е", + "ë ijIJ", + "ëij IJ", + "ÑĨ ев", + "ÑĨе в", + "ج Ùĩ", + "Ġm ůže", + "Ġmů že", + "Ġmůž e", + "à¥ģ प", + "à¥ģठª", + "à¥įर म", + "Ġ taÅŁ", + "Ġt aÅŁ", + "Ġta ÅŁ", + "оÑĢ ÑĤ", + "γ Ïģα", + "çĻ ¼", + "า à¸ļ", + "าภļ", + "iá» ħn", + "iá»ħ n", + "ĠÙħ ست", + "ĠÙħس ت", + "л екÑģ", + "ле кÑģ", + "лек Ñģ", + "Ġ prav", + "Ġp rav", + "Ġpr av", + "Ġpra v", + "Ġд оÑģ", + "Ġдо Ñģ", + "Ġd Ä±ÅŁ", + "Ġ zem", + "Ġz em", + "Ġze m", + "Ġg iao", + "Ġgi ao", + "Ġgia o", + "Ġv last", + "Ġvl ast", + "Ġvlas t", + "ĠÑį ÑĤого", + "ĠÑįÑĤ ого", + "ĠÑįÑĤо го", + "ï½ °", + "ว à¸ĩ", + "ÑĢ ой", + "ÑĢо й", + "Ġbir lik", + "e ný", + "en ý", + "Ġ ëĭ¨", + "Ġëĭ ¨", + "ов ани", + "ова ни", + "ован и", + "é£ İ", + "íı ī", + "Ġz ah", + "Ġza h", + "б а", + "åĬ ©", + "éĢ ²", + "ê ¶Į", + "Ġd iye", + "Ġdi ye", + "Ġdiy e", + "à¤Ĥ à¤ķ", + "Ġch uyá»ĥn", + "Ġ ìĹŃ", + "ĠìĹ Ń", + "Ġ ÑĤÑĢи", + "ĠÑĤ ÑĢи", + "ĠÑĤÑĢ и", + "Ġö nce", + "Ġön ce", + "Ġönc e", + "ï¼Į è¿Ļ", + "o ại", + "л еÑĤ", + "ле ÑĤ", + "ĠÏĥ Ïħν", + "ĠÏĥÏħ ν", + "l ád", + "lá d", + "ç e", + "t ü", + "Ġ Äįást", + "ĠÄį ást", + "ĠÄįá st", + "Ġ εν", + "Ġε ν", + "Ġb iá»ĩt", + "Ġ é«", + "Ġé «", + "à¥ĭ à¤ķ", + "ÙĦ ات", + "ÙĦا ت", + "ب اÙĦ", + "با ÙĦ", + "e cies", + "ec ies", + "eci es", + "Ġ ëĭ¹", + "Ġëĭ ¹", + "à¸Ĭ à¸Ļ", + "ÏĦ αÏĤ", + "ÏĦα ÏĤ", + "à¥į ण", + "à¥įठ£", + "u jÃŃcÃŃ", + "uj ÃŃcÃŃ", + "ujÃŃ cÃŃ", + "Äį et", + "Äįe t", + "Ġп об", + "Ġпо б", + "ÙĪ ار", + "ÙĪا ر", + "i yas", + "iy as", + "iya s", + "Ġd ruh", + "Ġdr uh", + "Ġdru h", + "د د", + "ÏĮ ν", + "ÑĢ ен", + "ÑĢе н", + "า รà¸ĸ", + "าร à¸ĸ", + "ä½ İ", + "ìķ ½", + "ÑĢ оз", + "ÑĢо з", + "ëĬĶ ëį°", + "ãĤĵ ãģª", + "Äį enÃŃ", + "Äįe nÃŃ", + "Äįen ÃŃ", + "**** ********", + "******** ****", + "****** ******", + "***** *******", + "******* *****", + "Ġ Ρ", + "ĠÎ ¡", + "ĠÑĤ омÑĥ", + "ĠÑĤо мÑĥ", + "ĠÑĤом Ñĥ", + "ร à¸ģ", + "à¥ģ स", + "à¥ģठ¸", + "ä¹ Ŀ", + "å°± æĺ¯", + "£ i", + "éĺ ²", + "Ùĥ ر", + "ĠÑį ÑĤи", + "ĠÑįÑĤ и", + "ĠÚ© Ø´ÙĪر", + "ĠÚ©Ø´ ÙĪر", + "Ġ ê°IJ", + "Ġê° IJ", + "Ġ ад", + "Ġа д", + "Ġ داد", + "Ġد اد", + "éģ İ", + "Ù «", + "Ġl áºŃp", + "Ġ اÙĦÙĩ", + "Ġا ÙĦÙĩ", + "ĠاÙĦ Ùĩ", + "æľ Ľ", + "Ġ تÙĩ", + "Ġت Ùĩ", + "ì§ Ī", + "ãģ§ ãģĤãĤĭ", + "ãģ§ãģĤ ãĤĭ", + "Ġ меж", + "Ġм еж", + "ĠÑĢ езÑĥлÑĮÑĤ", + "ĠÑĢез ÑĥлÑĮÑĤ", + "ç į", + "е мÑĥ", + "ем Ñĥ", + "Ġ تÙĪاÙĨ", + "Ġت ÙĪاÙĨ", + "ĠتÙĪ اÙĨ", + "Ġ راÙĩ", + "Ġر اÙĩ", + "Ġرا Ùĩ", + "ãĥ¼ ãĥł", + "ãĥ¼ãĥ ł", + "åĦ ¿", + "å± ŀ", + "б Ñĭ", + "á ¿", + "à¸Ħ ล", + "à¥ĭ à¤Ī", + "üt ün", + "à¤Ĺ र", + "ìķĺ ëĭ¤", + "âĪ §", + "Ġ ì°¨", + "Ġì° ¨", + "çµ Ħ", + "μα ÏĦα", + "ุ à¸Ļ", + "Ġ ÑĤом", + "ĠÑĤ ом", + "ĠÑĤо м", + "еÑĢ в", + "Îij Σ", + "ĠiÅŁ lem", + "ع Ùħ", + "ë ĥ", + "ãĥ Ħ", + "ا Ùģت", + "اÙģ ت", + "åĬ ŀ", + "Ġ nes", + "Ġn es", + "Ġne s", + "av aÅŁ", + "ava ÅŁ", + "ĠÙĨ ÛĮز", + "ĠÙĨÛĮ ز", + "å¼ º", + "Ġ éĻ", + "Ġé Ļ", + "Ñĸн нÑı", + "æ² ³", + "á ÅĻ", + "æĿ IJ", + "ĠØ£ ÙĬ", + "Ġ ì¹´", + "Ġì¹ ´", + "Ġn enÃŃ", + "Ġne nÃŃ", + "Ġnen ÃŃ", + "Ġ ÙĪÙħ", + "ĠÙĪ Ùħ", + "Ġ Ú©Ùħ", + "ĠÚ© Ùħ", + "i ếu", + "iế u", + "Ġ æ°", + "Ġæ °", + "åĮ »", + "Ġz or", + "Ġzo r", + "ί Ïĥ", + "ि ध", + "िठ§", + "Ġп оказ", + "Ġпо каз", + "Ġпок аз", + "Ġпока з", + "ह र", + "Ġiç er", + "ØŃ Ø©", + "ि à¤ĸ", + "िठĸ", + "а да", + "ад а", + "تر ÛĮÙĨ", + "ترÛĮ ÙĨ", + "Ġ bao", + "Ġb ao", + "Ġba o", + "Ġx ã", + "à¹Ģ à¸Ħร", + "à¹Ģà¸Ħ ร", + "Ġngh Ä©", + "à¹ģ à¸ļà¸ļ", + "à¹ģà¸ļ à¸ļ", + "ĠdoÄŁ ru", + "ĠdoÄŁr u", + "Ñĸ ÑĤи", + "ÑĸÑĤ и", + "Ġ بÙĬÙĨ", + "Ġب ÙĬÙĨ", + "ĠبÙĬ ÙĨ", + "Ġ леÑĤ", + "Ġл еÑĤ", + "ا غ", + "Ø§Ø º", + "ÛĮ Ú©ÛĮ", + "ÛĮÚ© ÛĮ", + "r áv", + "rá v", + "à¥į âĢį", + "âĢĻ nin", + "âĢĻn in", + "Ġ ย", + "Ġภ¢", + "åį Ĭ", + "Ġк оли", + "Ġкол и", + "Ġко ли", + "Ġtr ợ", + "éĿ Ĵ", + "ëŀ Ģ", + "Ġ ë¨", + "Ġë ¨", + "Ġ ÙĪر", + "ĠÙĪ ر", + "ï¾ Ĭ", + "è§ Ĥ", + "Ġ пи", + "Ġп и", + "н Ñĥв", + "нÑĥ в", + "il mesi", + "ilm esi", + "س تÙĩ", + "ست Ùĩ", + "Ġд еÑĢжав", + "ĠдеÑĢж ав", + "å® ĥ", + "åĪ ¥", + "ëħ Ģ", + "л ÑģÑı", + "à¤Ĥ ध", + "Ġ ÑĤи", + "ĠÑĤ и", + "ĠpÅĻ ip", + "ĠpÅĻi p", + "п и", + "á» ĵn", + "á»ĵ n", + "о ваÑĤÑĮ", + "ов аÑĤÑĮ", + "ова ÑĤÑĮ", + "ìĿ´ ëĿ¼", + "æľ Ŀ", + "Ġ ëĺIJ", + "Ġë ĺIJ", + "Ġëĺ IJ", + "ĠÎŃ Î½Î±", + "ĠÎŃν α", + "ãģ¾ ãģ§", + "ج اÙħ", + "جا Ùħ", + "Ġ ëĬ", + "Ġë Ĭ", + "н Ñĸв", + "нÑĸ в", + "ÏĢ οÏħ", + "ÏĢο Ïħ", + "Ġ زÙħاÙĨ", + "Ġز ÙħاÙĨ", + "ĠزÙħ اÙĨ", + "æĽ ²", + "Ġ ÙħÙĩ", + "ĠÙħ Ùĩ", + "ëł ¨", + "ä¸ ĥ", + "ãģ¨ ãģĹãģ¦", + "l abilir", + "la bilir", + "lab ilir", + "о же", + "ож е", + "å¤ ľ", + "ĠнÑĥж но", + "å½ ©", + "çĪ ±", + "Ġho Ãłn", + "ün ü", + "Ġ ëĦ¤", + "ĠëĦ ¤", + "Ġ جÙĨ", + "Ġج ÙĨ", + "Ġn ÄĽj", + "ĠnÄĽ j", + "к ими", + "ки ми", + "ким и", + "Ġa ynı", + "Ġayn ı", + "Ġ ÙĥÙĦ", + "ĠÙĥ ÙĦ", + "Ġnh au", + "Ạ³", + "ÙĬ ات", + "ÙĬا ت", + "Ġm ezi", + "Ġme zi", + "Ġmez i", + "Ġ ÑĢек", + "ĠÑĢ ек", + "ĠÑĢе к", + "Ġ tür", + "Ġt ür", + "Ġ говоÑĢ", + "Ġг овоÑĢ", + "Ġfaz la", + "åĩ Ĩ", + "ÑĪ ий", + "ÑĪи й", + "ÐŁ ÑĢи", + "ÐŁÑĢ и", + "ÑĢ оÑģÑĤ", + "ÑĢоÑģ ÑĤ", + "ÑĢо ÑģÑĤ", + "ĠоÑĢг ан", + "ĠоÑĢ ган", + "n ým", + "ný m", + "Ġ ÑĢод", + "ĠÑĢ од", + "Ġ ÙĪÛĮ", + "ĠÙĪ ÛĮ", + "ic ký", + "ick ý", + "ë¦ ¼", + "ï½ ²", + "æĢ İ", + "ĠÙĩ ذا", + "ĠÑĩ аÑģÑĤи", + "ĠÑĩа ÑģÑĤи", + "ĠÑĩаÑģ ÑĤи", + "ĠÑĩаÑģÑĤ и", + "ÃŃ r", + "á»ĩ nh", + "á»ĩn h", + "Ġ íĹ", + "Ġí Ĺ", + "ê »", + "lu ž", + "ÃŃ l", + "c ÃŃch", + "cÃŃ ch", + "å® Ł", + "ãģł ãģ£ãģŁ", + "ÙĬ رة", + "ÙĬر Ø©", + "Ġv Äĥn", + "æ¸ ¯", + "Ġ ÏĦιÏĤ", + "ĠÏĦι ÏĤ", + "ا رت", + "ار ت", + "Ġv ấn", + "âĶģâĶģ âĶģâĶģ", + "å¯ ¾", + "Ïģ ÎŃ", + "Ġг одÑĥ", + "Ġгод Ñĥ", + "Ġ سب", + "Ġس ب", + "ا رات", + "ار ات", + "ارا ت", + "е лей", + "ел ей", + "еле й", + "Ġз аÑħ", + "Ġза Ñħ", + "Ġ важ", + "Ġв аж", + "Ġва ж", + "Ġt á»īnh", + "Ġtá» īnh", + "Ġtá»ī nh", + "ا بع", + "اب ع", + "Ġ à¤ľà¤¬", + "Ġà¤ľ ब", + "Ġà¤IJ स", + "Ġ дÑĥ", + "Ġд Ñĥ", + "Ġ é«ĺ", + "Ġé «ĺ", + "Ġé« ĺ", + "ê² ł", + "н ее", + "не е", + "ï½ Į", + "Ġм ал", + "Ġма л", + "è¾ ¹", + "ãģł ãģij", + "à¹ī ร", + "ÙĤ Ø·", + "Ġb ên", + "Ġs eb", + "Ġse b", + "ĠØ® ÙĪاÙĩ", + "ĠØ®ÙĪ اÙĩ", + "s iz", + "si z", + "Ġol ur", + "Ġ ëĶ°", + "ĠëĶ °", + "Ġ ì¢ĭ", + "Ġì¢ ĭ", + "Ġs vÄĽt", + "Ġsv ÄĽt", + "ĠsvÄĽ t", + "ic ká", + "ick á", + "á» ¹", + "Ġqu ản", + "Ġquả n", + "Ġ иÑģ", + "Ġи Ñģ", + "Ġz aÄį", + "Ġza Äį", + "ื à¸Ńà¸Ļ", + "ืà¸Ń à¸Ļ", + "ÑĶ Ñİ", + "ि ष", + "िठ·", + "ç Ĭ¶", + "çĬ ¶", + "Ïĥ μ", + "ั ส", + "ó c", + "Ġ беÑĢ", + "Ġб еÑĢ", + "Ġ íĿ", + "Ġí Ŀ", + ";: ;:", + "Ġ پس", + "ĠÙ¾ س", + "Ġ ëijIJ", + "Ġë ijIJ", + "Ġëij IJ", + "н иÑĩ", + "ни Ñĩ", + "Ġо ÑĩенÑĮ", + "ĠоÑĩ енÑĮ", + "ĠìķĦìĿ´ ì½ĺ", + "Ġ θα", + "Ġθ α", + "Ġв ÑģÑĤ", + "ĠвÑģ ÑĤ", + "ا دة", + "اد Ø©", + "Ġdev am", + "ื à¸Ńà¸ĩ", + "ืà¸Ń à¸ĩ", + "ĠлÑİ Ð´Ð¸", + "ĠлÑİд и", + "ìĺ Ī", + "á»± a", + "Ñı Ñħ", + "âĢĮ اÛĮ", + "Ġ سÙĪ", + "Ġس ÙĪ", + "å° ¼", + "Ġth ứ", + "Ġthá» ©", + "m eye", + "me ye", + "mey e", + "Ġ èµ", + "Ġè µ", + "èī ¯", + "ĠdeÄŁ iÅŁ", + "ÑĪ Ñĸ", + "Ġtr ợ", + "ĠâĢİ #", + "çĹ ħ", + "ìĽ Į", + "Ġk de", + "Ġkd e", + "Î §", + "æ ¤", + "ĠÑħ аÑĢакÑĤ", + "æ ĩ", + "Ġb iến", + "Ġbi ến", + "ÙĤ ع", + "åŁ Ł", + "Ġн еп", + "Ġне п", + "Ġd ů", + "Ġп иÑĤ", + "Ġпи ÑĤ", + "ĠÑĤ ÑĢеб", + "ĠÑĤÑĢ еб", + "ا زÛĮ", + "از ÛĮ", + "Ġ طر", + "ĠØ· ر", + "Ġ ÙħÙĦ", + "ĠÙħ ÙĦ", + "Ġt ham", + "Ġth am", + "Ġtha m", + "Ġ ÙĪجÙĪد", + "ĠÙĪج ÙĪد", + "Ġs vé", + "Ġsv é", + "é§ ħ", + "ا ÛĮÙĨ", + "اÛĮ ÙĨ", + "Ġt iên", + "Ġti ên", + "s tru", + "st ru", + "str u", + "Ġv áºŃy", + "ü ne", + "ün e", + "Ġ à¹Ģม", + "Ġà¹Ģ ม", + "Ġà¹Ģภ¡", + "Ġr ằng", + "а ÑĤÑĥ", + "аÑĤ Ñĥ", + "äº ij", + "н иÑĤ", + "ни ÑĤ", + "ä¼ Ĭ", + "ÙĪ ص", + "Ġ éĿ", + "Ġé Ŀ", + "ĠпÑĢоб лем", + "d eki", + "de ki", + "dek i", + "** ************", + "******** ******", + "****** ********", + "******* *******", + "************ **", + "ò a", + "ĠÄijá»ģ u", + "ãĤĮ ãģŁ", + "ا رس", + "ار س", + "ãģª ãģı", + "ا ÙĤع", + "اÙĤ ع", + "è» į", + "Ùĥ Ùħ", + "Äį as", + "Ġk ỳ", + "Ġká» ³", + "Ø´ Ùħ", + "à¥ĩ ड", + "à¥ĩठ¡", + "éĺ ¿", + "Ġje jÃŃ", + "Ġjej ÃŃ", + "Ġ æĻ", + "Ġæ Ļ", + "Ġ Ä°ÅŁ", + "ĠÄ° ÅŁ", + "ar dım", + "ard ım", + "Ġसम य", + "Ġ ÐĿо", + "ĠÐĿ о", + "i lerin", + "il erin", + "ile rin", + "iler in", + "ileri n", + "Ġع بد", + "Ġعب د", + "n ÃŃk", + "nÃŃ k", + "ĠØ´ Ú©ÙĨ", + "ĠØ´Ú© ÙĨ", + "ิ à¸Ĺย", + "ิà¸Ĺ ย", + "á» ħ", + "ÑĢ ез", + "ÑĢе з", + "Ġch ứng", + "Ġchứ ng", + "Ġ :.", + "Ġ: .", + "Ġ पत", + "Ġप त", + "Ġž ivot", + "Ġživ ot", + "å¢ ĥ", + "« a", + "Ġt rung", + "Ġtr ung", + "ни кÑĸв", + "ник Ñĸв", + "ĠاÙĦ ÙħÙĨ", + "ĠاÙĦÙħ ÙĨ", + "ĠÑĢ аÑģÑģ", + "ĠÑĢаÑģ Ñģ", + "Ġ жив", + "Ġж ив", + "Ġз акон", + "Ġза кон", + "Ġзак он", + "Ġзако н", + "Ġ 목", + "Ġëª ©", + "Ġz áv", + "Ġzá v", + "Ġh akk", + "Ġha kk", + "Ġhak k", + "ä» ¤", + "ĠÑı кий", + "ĠÑıк ий", + "Ġ بÙĬ", + "Ġب ÙĬ", + "λ ÎŃ", + "oc uk", + "ocu k", + "Ġ Ñİ", + "ĠÑ İ", + "à¸ģ ว", + "Ġ اÙĨÚ¯", + "Ġا ÙĨÚ¯", + "ĠاÙĨ Ú¯", + "à¥ģ à¤Ĥ", + "à¥ģठĤ", + "Ġ nám", + "Ġn ám", + "Ġná m", + "á»ķ ng", + "Ġж ел", + "Ġже л", + "ĠÄij ặc", + "Äį it", + "Äįi t", + "Ġ ê±´", + "Ġê± ´", + "Ġب ÛĮØ´", + "ĠبÛĮ Ø´", + "кÑĢаÑĹ Ð½", + "Ġ ÙĪÙĩ", + "ĠÙĪ Ùĩ", + "н еннÑı", + "нен нÑı", + "Ġ à¹Ģà¸ŀ", + "Ġà¹Ģ à¸ŀ", + "Ġà¹Ģภŀ", + "о мен", + "ом ен", + "Ġl ần", + "Ġ عÙħÙĦ", + "Ġع ÙħÙĦ", + "ĠعÙħ ÙĦ", + "Ġî ģµ", + "Ä ŀ", + "ÑĸÑģ лÑı", + "Æ° ng", + "ा फ", + "ाठ«", + "à¸Ĺ à¸ĺ", + "д ен", + "де н", + "ĠÑī об", + "ĠÑīо б", + "Ñĩ ив", + "Ñĩи в", + "ılı r", + "ıl ır", + "ا عات", + "اع ات", + "j ÃŃcÃŃ", + "jÃŃ cÃŃ", + "ë² ¨", + "ÚĨ Ùĩ", + "ا رج", + "ار ج", + "ĠÙ¾ رÙĪ", + "Ġپر ÙĪ", + "Ġо дин", + "Ġод ин", + "Ġоди н", + "л ин", + "ли н", + "б Ñĥ", + "Ġसर à¤ķ", + "åĢ Ļ", + "ë¶Ģ íĦ°", + "à¥Īà¤Ĥ ,", + "å ´", + "à¹Ĥ ล", + "Ġv Å¡ak", + "ĠvÅ¡ ak", + "Ġоп ÑĢед", + "ì ±", + "æ ½", + "Ġdá»± ng", + "p ráv", + "pr áv", + "ิ ส", + "Ġnh iá»ĩm", + "Ġil iÅŁ", + "Ġili ÅŁ", + "Ġе Ñīе", + "Ġje Å¡tÄĽ", + "Ġ ÑĢаÑģÑĤ", + "ĠÑĢ аÑģÑĤ", + "ĠÑĢаÑģ ÑĤ", + "ĠÑĢа ÑģÑĤ", + "ภ®", + "à¤Ĥ à¤Ł", + "âĢĮ Ú©", + "Ġ بÛĮÙĨ", + "Ġب ÛĮÙĨ", + "ĠبÛĮ ÙĨ", + "o vou", + "ov ou", + "ovo u", + "æĻ ®", + "ί εÏĤ", + "о ÑĢоÑĪ", + "оÑĢ оÑĪ", + "оÑĢо ÑĪ", + "Ġol mak", + "Ġolm ak", + "Ġolma k", + "Ġst át", + "di ÄŁi", + "Ġt ình", + "Ġ dÄĽ", + "Ġd ÄĽ", + "ĠÚ¯ رÙģ", + "Ġگر Ùģ", + "Ïĥ ο", + "Ġ ÑĥÑĤ", + "ĠÑĥ ÑĤ", + "íķĻ êµIJ", + "ั à¸IJ", + "า à¸Ń", + "าภŃ", + "ĠÄij ặt", + "Ġмог ÑĥÑĤ", + "ĠмогÑĥ ÑĤ", + "ë° °", + "t ik", + "ti k", + "ª ½", + "li ÄŁ", + "ÏĢ ε", + "Ġ èĢ", + "Ġè Ģ", + "k ü", + "ad ece", + "ade ce", + "κ ÏĮ", + "Ġ дÑĸ", + "Ġд Ñĸ", + "ầ m", + "çĦ¡ ãģĹ", + "Û²Û° Û±", + "èµ Ľ", + "оÑģ Ñĥд", + "Ġ ìķĪëĤ´", + "ĠìķĪ ëĤ´", + "Ġ ÐĶж", + "ĠÐĶ ж", + "åº §", + "ic kých", + "ick ých", + "ický ch", + "Ġ ìłģ", + "Ġì łģ", + "Ġìł ģ", + "à¥ĩ ,", + "ov ého", + "ové ho", + "Ġv ẫn", + "Ġbirlik te", + "Ġर à¤ĸ", + "Ġ ÙĨÙĩ", + "ĠÙĨ Ùĩ", + "ÙĤ ر", + "प र", + "e tÃŃ", + "et ÃŃ", + "Ġ ÑĤÑĭ", + "ĠÑĤ Ñĭ", + "Ģ ìĿ´", + "Ġà¤ħ ल", + "Ġм оже", + "Ġмож е", + "Ġмо же", + "ãĤ ´", + "Ġs tran", + "Ġst ran", + "Ġstr an", + "Ġstra n", + "Ø· ر", + "è¿Ļ 个", + "Ġ بع", + "Ġب ع", + "åĨ Ľ", + "ek tir", + "ekt ir", + "Ġh Æ°á»Ľng", + "ÙĨ اÙĨ", + "ÙĨا ÙĨ", + "Ġठij", + "Ġà ¤ij", + "ÏĮ ÏĦη", + "о Ñģк", + "оÑģ к", + "åį ĥ", + "as ına", + "ası na", + "Ġ Ø´Ùĩ", + "ĠØ´ Ùĩ", + "Ġ деÑĢ", + "Ġд еÑĢ", + "Ġде ÑĢ", + "ĠÙħ خت", + "ĠÙħØ® ت", + "Ġ ØŃÙĤ", + "ĠØŃ ÙĤ", + "ãĥ ¾", + "س اÙĨ", + "Ġc ung", + "Ġcu ng", + "ко ÑĢиÑģÑĤ", + "коÑĢ иÑģÑĤ", + "ÏĦ ικά", + "ÏĦικ ά", + "ÏĦι κά", + "Ġв она", + "Ġво на", + "ب ا", + "ãģķ ãĤĮãģŁ", + "ãģķãĤĮ ãģŁ", + "n out", + "no ut", + "nou t", + "Ġ ı", + "ĠÄ ±", + "è§ ī", + "ĠÃ¶ÄŁ ren", + "Ġ ì½Ķ", + "Ġì ½Ķ", + "Ġì½ Ķ", + "å¸ ¦", + "Ñģ лов", + "Ñģл ов", + "Ġε ÏĢι", + "ĠεÏĢ ι", + "ê° IJ", + "ĠÙħ رب", + "ĠÙħر ب", + "ĠÙģÛĮ ÙĦÙħ", + "Ġк ÑĢов", + "Ġ ëį°", + "Ġë į°", + "Ġëį °", + "ा ण", + "ाठ£", + "Ġel ekt", + "Ġele kt", + "Ġelek t", + "Ġ наÑĢод", + "Ġн аÑĢод", + "Ġна ÑĢод", + "ĠнаÑĢ од", + "ÛĮ دÙĩ", + "ÛĮد Ùĩ", + "ç´ Ħ", + "Ġп ÑĢоÑĦ", + "ĠпÑĢ оÑĦ", + "ĠпÑĢо ÑĦ", + "Ïģ οÏĤ", + "Ïģο ÏĤ", + "Ġ ãħ", + "ä¸į æĺ¯", + "Ġ à¤ľà¤¨", + "Ġà¤ľ न", + "ั ล", + "Ġص ÙĪرت", + "ĠصÙĪر ت", + "ãĥ ľ", + "Ġà¤Ĺ à¤Ī", + "ÄŁi tim", + "ÄŁit im", + "ÑģÑĮ киÑħ", + "ÑģÑĮк иÑħ", + "Ġ лег", + "Ġл ег", + "Ġت ÙĪÙĦ", + "ĠتÙĪ ÙĦ", + "Ġ ìļ´", + "Ġìļ ´", + "ع ر", + "Ġm Ãłu", + "ĠmÃł u", + "г ов", + "го в", + "æ³ ¢", + "in deki", + "ind eki", + "inde ki", + "ìłģ ìĿ¸", + "ấ m", + "Ġ íĻķ", + "ĠíĻ ķ", + "Ġب اÛĮد", + "Ġبا ÛĮد", + "ĠباÛĮ د", + "à¹Į à¸Ĺ", + "Ġk endi", + "Ġken di", + "Ġkend i", + "ี ว", + "ิ à¸ģาร", + "ิà¸ģ าร", + "ิà¸ģา ร", + "ĠÚ© ردÙĩ", + "Ġکرد Ùĩ", + "Ġکر دÙĩ", + "å· ´", + "ठģ", + "ร าà¸Ĭ", + "à¥į श", + "à¥įठ¶", + "Ġ ÐĶлÑı", + "ĠÐĶ лÑı", + "å¥ ĩ", + "ĠÑĥ ÑģÑĤанов", + "ĠÑĥÑģÑĤ анов", + "ĠÑĥÑģÑĤан ов", + "й ÑĤе", + "ãĤ ĩ", + "ά Ïģ", + "Ġ Ю", + "ĠÐ ®", + "Ġlu áºŃt", + "ãĢ ī", + "è´ ¨", + "د ا", + "Ġdü zen", + "Ġdüz en", + "ส à¸Ļ", + "ÑĢ он", + "ÑĢо н", + "d ıģı", + "dı ģı", + "dıģ ı", + "âĢĻ da", + "âĢĻd a", + "Ġfark lı", + "Ñħ ов", + "Ñħо в", + "l án", + "lá n", + "Ñĩ аÑģ", + "Ñĩа Ñģ", + "Ñĩ ин", + "Ñĩи н", + "Ġ ì°¸", + "Ġì° ¸", + "ì ´Ī", + "ì´ Ī", + "ÑĨ ип", + "ÑĨи п", + "ç ¹", + "éĸ Ģ", + "ж а", + "ÑĢ ован", + "ÑĢов ан", + "ÑĢо ван", + "ÑĢова н", + "à¸ĵ ะ", + "ÙĦÙĬ زÙĬØ©", + "Ïĩ ει", + "Ïĩε ι", + "à¥Ī .", + "к Ñģп", + "кÑģ п", + "ا ÙĪر", + "اÙĪ ر", + "Ġng uyên", + "Ġnguy ên", + "ãģ« ãĤĪ", + "à¥ĩ म", + "à¥ĩठ®", + "Ïĥ ÏĦε", + "ÏĥÏĦ ε", + "ت ÙĪ", + "Äį ek", + "Äįe k", + "ÑĨ Ñĭ", + "Ġ 물", + "Ġë¬ ¼", + "Ñį ÑĤ", + "Ġka zan", + "Ġkaz an", + "Ùģ س", + "e hir", + "eh ir", + "в ÑĸÑĤ", + "вÑĸ ÑĤ", + "Ġد ÙĪÙĦ", + "ĠدÙĪ ÙĦ", + "Ġ ëĵľ", + "Ġëĵ ľ", + "Ġà¤ļ ल", + "е ÑģÑĤва", + "еÑģÑĤв а", + "еÑģÑĤ ва", + "δ α", + "Ġб Ñĥв", + "ĠбÑĥ в", + "Ġ ÐĿе", + "ĠÐĿ е", + "ØŃ Ø±", + "огÑĢа ÑĦ", + "Ġroz hod", + "Ġrozh od", + "Ġви коÑĢиÑģÑĤ", + "Ġвико ÑĢиÑģÑĤ", + "Ġy êu", + "λ οÏĤ", + "λο ÏĤ", + "Ú© س", + "Ġ شب", + "ĠØ´ ب", + "ิ ษ", + "æ¯ į", + "Ġд оÑĢ", + "Ġдо ÑĢ", + "Ġngh á»ĩ", + "Ġt rang", + "Ġtr ang", + "Ġtra ng", + "Ġtran g", + "à¥ĩ द", + "à¥ĩठ¦", + "Ġt ìm", + "Ñĩ но", + "Ġ اÙħا", + "Ġا Ùħا", + "ĠاÙħ ا", + "éģ ĭ", + "Ú© ر", + "k é", + "Ġ vÄĽt", + "Ġv ÄĽt", + "ĠvÄĽ t", + "Ġн аÑģÑĤ", + "Ġна ÑģÑĤ", + "ĠнаÑģ ÑĤ", + "Ġ æ±", + "Ġæ ±", + "Ġ åĽ½", + "ĠåĽ ½", + "Ġgi ảm", + "Ġgiả m", + "ا دÙĬ", + "اد ÙĬ", + "ëĤ ľ", + "ë¡ ł", + "Ġ ､", + "Ġï½ ¤", + "Ġд енÑĮ", + "Ġде нÑĮ", + "Ġден ÑĮ", + "ÑĨ ÑĸÑİ", + "ÑĨÑĸ Ñİ", + "Ġh ạn", + "Ġhạ n", + "ẳ ng", + "ẳn g", + "λ ή", + "e yen", + "ey en", + "eye n", + "ä¸ Ķ", + "æŃ ¦", + "ĠÑĦ ак", + "à¹Ī à¸Ńà¸Ļ", + "à¹Īà¸Ń à¸Ļ", + "Ġ οι", + "Ġο ι", + "ز Ùħ", + "ãģĹ ãģ¦ãģĦãĤĭ", + "ãģĹãģ¦ ãģĦãĤĭ", + "ãģĹãģ¦ãģĦ ãĤĭ", + "л ива", + "ли ва", + "лив а", + "âĢķ âĢķ", + "Ġ öl", + "Ġö l", + "Ġ à¤ĵ", + "Ġठĵ", + "Ñģ ÑĤÑĸ", + "ÑģÑĤ Ñĸ", + "à¸ģ รรม", + "à¸ģร รม", + "Ġt ục", + "Ġtụ c", + "Ġgö rün", + "Ġgör ün", + "ãģĹ ãģ¾", + "ãģĹãģ ¾", + "Ġ ì¦", + "Ġì ¦", + "é ¦¬", + "é¦ ¬", + "Ġмож на", + "Ġ Ú©ÙĦ", + "ĠÚ© ÙĦ", + "Ġ ÑĨенÑĤ", + "ĠÑĨ енÑĤ", + "ĠÑĨе нÑĤ", + "ĠÑĨен ÑĤ", + "Ġ ìĻ¸", + "ĠìĻ ¸", + "Î ĺ", + "ç ĩ", + "Ġg elen", + "Ġge len", + "Ġgel en", + "Ġgele n", + "Ġ اÙĬÙĨ", + "Ġا ÙĬÙĨ", + "ĠاÙĬ ÙĨ", + "ĠØ¢ ب", + "Ġà¤Ĩ य", + "ัà¸ģ ษ", + "Ñģ им", + "Ñģи м", + "Ġб олÑĮÑĪ", + "ĠболÑĮ ÑĪ", + "Ġм н", + "о ди", + "од и", + "ĠÄ° l", + "Ġ à¤Ĩर", + "Ġà¤Ĩ र", + "е ÑĤе", + "еÑĤ е", + "ÑĨ иÑİ", + "ÑĨи Ñİ", + "áºŃ u", + "Ġt iếng", + "Ġtiế ng", + "Ġtiến g", + "ë ¶ģ", + "ë¶ ģ", + "æ§ ĺ", + "Ġн аÑĪ", + "Ġна ÑĪ", + "ม า", + "âĢĻ ın", + "âĢĻı n", + "ãĥĥ ãĥĹ", + "ÙĪ جÙĩ", + "ÙĪج Ùĩ", + "Ġ ØŃد", + "ĠØŃ Ø¯", + "á vá", + "áv á", + "ر ÙĪØ´", + "رÙĪ Ø´", + "Ġ дейÑģÑĤв", + "Ġд ейÑģÑĤв", + "ãģ£ ãģ¦ãģĦãĤĭ", + "ãģ£ãģ¦ ãģĦãĤĭ", + "ãģ£ãģ¦ãģĦ ãĤĭ", + "Ïģ ή", + "Ġ üst", + "Ġü st", + "Ġt iết", + "Ġti ết", + "Ġtiế t", + "ac aÄŁ", + "aca ÄŁ", + "Ġ ÐŁÐ¾", + "ĠÐŁ о", + "é Ĭ", + "ë¨ ¸", + "c hod", + "ch od", + "cho d", + "ĠØ¢Ùħ ÙĪز", + "ãģŁ ãĤģ", + "Ġch uyên", + "Ġuy gu", + "Ġuyg u", + "н ÑĸÑģÑĤ", + "нÑĸ ÑģÑĤ", + "ë ´", + "æİ §", + "Ñĥ ÑİÑĤÑĮ", + "ÑĥÑİ ÑĤÑĮ", + "ÑĥÑİÑĤ ÑĮ", + "Äį i", + "ãģ ¹", + "à¥Ĥ न", + "æĹ ©", + "ãĥĩ ãĤ£", + "è Ĵ", + "ĠØ´ خص", + "ĠÑħ оÑĤ", + "ĠÚ©ÙĨ ÛĮد", + "г л", + "à¸Ń à¸Ńà¸ģ", + "à¸Ńà¸Ń à¸ģ", + "éĢ Ļ", + "Ġز ÛĮر", + "ĠزÛĮ ر", + "íķ Ń", + "ĠÃĸ z", + "åij ³", + "ØŃ Ø¯Ø©", + "ØŃد Ø©", + "Ġk ažd", + "Ġ ÑĨвеÑĤ", + "ĠÑĨ веÑĤ", + "Ġ ç¾", + "Ġç ¾", + "Ġк ож", + "Ġко ж", + "Ġ ÐŃÑĤо", + "ĠÐŃ ÑĤо", + "ÑıÑĤ елÑĮ", + "ла ÑģÑĮ", + "лаÑģ ÑĮ", + "âĢĮ Ø´ÙĪد", + "âĢĮØ´ ÙĪد", + "μ ι", + "Ġ æ²", + "Ġæ ²", + "Ġs üre", + "Ġsü re", + "Ġsür e", + "ล ะ", + "éħ Ĵ", + "ึà¸ģ ษ", + "λ λά", + "λλ ά", + "ç ij", + "Ġ ìĥĪ", + "Ġìĥ Ī", + "Ġस ह", + "ĠH Ãł", + "리 ê³ł", + "ص ر", + "Ġ æĬķ", + "ĠæĬ ķ", + "éł Ń", + "Ġb á»ĩnh", + "ĠìĥĿ ê°ģ", + "Ġà¤ħ à¤Ń", + "ê³µ ì§Ģ", + "ì Ķ", + "á» Ŀi", + "á»Ŀ i", + "ç ŃĶ", + "çŃ Ķ", + "Ġb Ãłi", + "ĠbÃł i", + "о дÑĸ", + "од Ñĸ", + "า à¸Ĥ", + "าภĤ", + "ни ков", + "ник ов", + "Ġdön em", + "Ġdö nem", + "ว ม", + "ãĥĨ ãĤ£", + "ा रण", + "ार ण", + "о ги", + "ог и", + "Ġk iá»ĥm", + "Ġki á»ĥm", + "о ÑĦ", + "äº Ī", + "åĨ ³", + "ا ÙĦات", + "اÙĦ ات", + "اÙĦا ت", + "Ġn ếu", + "Ġ cest", + "Ġc est", + "Ġce st", + "Ġces t", + "ز Ø´", + "Ùİ ÙĦ", + "Ġت Ø£", + "ĠÄij ạo", + "Ïį ν", + "Ġв нÑĥ", + "Ġ جاÙħ", + "Ġج اÙħ", + "Ġجا Ùħ", + "i vnÃŃ", + "iv nÃŃ", + "Ġìŀ ĪìĬµëĭĪëĭ¤", + "ĠìŀĪ ìĬµëĭĪëĭ¤", + "Ï Ĭ", + "æĦ Ľ", + "ãĥ Ľ", + "м Ñĸн", + "мÑĸ н", + "Ġt ÃŃm", + "ĠtÃŃ m", + "ằ m", + "ê· ł", + "äº ķ", + "Ġx ây", + "Ġ ìĽĶ", + "ĠìĽ Ķ", + "е лен", + "ел ен", + "еле н", + "Ġ à¹Ĥà¸Ķย", + "Ġà¹Ĥ à¸Ķย", + "ا ÙĦÙĩ", + "اÙĦ Ùĩ", + "Ġb ất", + "á»ĵ m", + "âĢĮ Ú¯", + "ÙĪ رة", + "ÙĪر Ø©", + "ب ات", + "با ت", + "Ġb án", + "ẫ u", + "اÙĨ ÙĪÙĨ", + "اÙĨÙĪ ÙĨ", + "Ġzá kon", + "á ž", + "ì¶ Ķ", + "à¹ģ à¸ģ", + "ãĤį ãģĨ", + "ÑĢ оÑĤ", + "ÑĢо ÑĤ", + "ç ĵ", + "Ġв они", + "Ġво ни", + "Ġx ác", + "Ġ دÛĮگر", + "ĠدÛĮ گر", + "ÏĢ οι", + "ÏĢο ι", + "Ġне Ñģк", + "ĠнеÑģ к", + "ر سÛĮ", + "رس ÛĮ", + "Ġ ëĿ¼", + "Ġë Ŀ¼", + "ت ÙĦ", + "λ ά", + "ĠÑıв лÑıеÑĤÑģÑı", + "ä¾ Ŀ", + "Ġ åħ¬", + "Ġåħ ¬", + "Ĺ i", + "Ġ íĬ¹", + "ĠíĬ ¹", + "Ùĥ ÙĪÙĨ", + "ÙĥÙĪ ÙĨ", + "ắ p", + "جÙħ ÙĪع", + "ÏĨ οÏģ", + "ÏĨο Ïģ", + "е ло", + "ел о", + "Ġg üven", + "Ġgü ven", + "Ġм ай", + "Ġма й", + "ĠÑģ оз", + "ĠÑģо з", + "à¸ģ ระ", + "à¸ģร ะ", + "Ġا سÙĦاÙħ", + "Ġاس ÙĦاÙħ", + "Ġ Ñīе", + "ĠÑī е", + "Ġs á»ijng", + "Ġsá»ij ng", + "à¥į ब", + "à¥įठ¬", + "Ú© ار", + "کا ر", + "Ġthu áºŃt", + "Ġ nÃŃ", + "Ġn ÃŃ", + "第 ä¸Ģ", + "è¦ ĸ", + "à¹Ģà¸ģ ม", + "ا ÙĬØ©", + "اÙĬ Ø©", + "Ġ ÎĪ", + "ĠÎ Ī", + "ãĤ ¶", + "ĠÙħ ÙĪÙĤع", + "ĠÙħÙĪ ÙĤع", + "Ġ åĴ", + "Ġå Ĵ", + "è¡ ĵ", + "Ġ Ðŀд", + "ĠÐŀ д", + "Ġ ä¸ī", + "Ġä¸ ī", + "ler inde", + "leri nde", + "lerin de", + "ĠÑģв оÑĹ", + "ĠÑģво ÑĹ", + "à¥Ģ à¤ı", + "Ġth Æ°Æ¡ng", + "Ïĥ ÏĦο", + "ÏĥÏĦ ο", + "Ġ غÙĬر", + "Ġغ ÙĬر", + "Ġ پر", + "ĠÙ¾ ر", + "ĠÑģеб е", + "Ġв к", + "Ġk hai", + "Ġkh ai", + "ãĤ Ģ", + "ĠÙĨ ظر", + "ĠÙĨظ ر", + "Ġдок Ñĥм", + "à¹ĩ à¸ļ", + "Ġ íķľêµŃ", + "Ġíķľ êµŃ", + "ï½ ī", + "å·¥ ç¨ĭ", + "Ġ ÙĪÙĦ", + "ĠÙĪ ÙĦ", + "ØŃ ÙĬ", + "Ġп ла", + "Ġпл а", + "Ġ Ä°stanbul", + "ĠÄ° stanbul", + "âĢĻ de", + "âĢĻd e", + "а лÑģÑı", + "ал ÑģÑı", + "ĠØ¢ÙĨ Ùĩا", + "Ġ اÙĩ", + "Ġا Ùĩ", + "Ġ ê´Ģ리", + "Ġê´Ģ 리", + "Ġ anh", + "Ġa nh", + "Ġan h", + "Å¡ ÃŃm", + "Å¡ÃŃ m", + "lar la", + "ï¼ Ŀ", + "n ostÃŃ", + "no stÃŃ", + "nost ÃŃ", + "nos tÃŃ", + "ÑģÑĤ ве", + "ÑģÑĤв е", + "ÛĮ Ùģ", + "Ġ گرد", + "ĠÚ¯ رد", + "Ġگر د", + "ãĤĮ ãĤĭ", + "Ġv á»±", + "Ġvá» ±", + "ÄĽ nÃŃ", + "ÄĽn ÃŃ", + "Ġgö rev", + "Ġgör ev", + "Ġgöre v", + "Ġyıl ında", + "Ġyılı nda", + "Ġyı lında", + "Ġl ợi", + "Ġlá» £i", + "Ġan lam", + "Ġп ÑĢовод", + "ĠпÑĢо вод", + "ĠпÑĢов од", + "ÑĨ Ñİ", + "Ġ åī", + "Ġå ī", + "Ġë§ İ", + "ÑĢ аÑģ", + "ÑĢа Ñģ", + "Ġ Ž", + "ĠÅ ½", + "Ú© اÙĨ", + "کا ÙĨ", + "Ð Ļ", + "ãģ£ ãģ¨", + "ãģ£ãģ ¨", + "Ú© ÙĦ", + "า ยà¸Ļ", + "าย à¸Ļ", + "ع اÙĦ", + "عا ÙĦ", + "Ġ ký", + "Ġk ý", + "ĠмаÑĤ еÑĢи", + "Ġма ÑĤеÑĢи", + "ê» ĺ", + "ıl ması", + "μ ÎŃν", + "μÎŃ Î½", + "ĠÙĨ ÙħÛĮ", + "ĠÙĨÙħ ÛĮ", + "Ġcu á»Ļc", + "Ġδ εν", + "Ġδε ν", + "å¹ ²", + "＿ ＿＿＿", + "＿＿ ＿＿", + "＿＿＿ ＿", + "à¥Ģ à¤Ł", + "Ġçık ar", + "Ġçı kar", + "Ġkon uÅŁ", + "Ġkonu ÅŁ", + "иÑĤ елÑĮно", + "иÑĤелÑĮ но", + "lan tı", + "lant ı", + "à¹Ħ ล", + "å¾ ĭ", + "Ġ íĶ¼", + "ĠíĶ ¼", + "ìĻ ¸", + "Ġs áng", + "éģ Ķ", + "о жд", + "ож д", + "Ġ آخر", + "ĠØ¢ خر", + "il ece", + "ile ce", + "à¥Ī न", + "Ġ jedn", + "Ġj edn", + "Ġje dn", + "Ġjed n", + "ĠÑģпе ÑĨи", + "´ Ŀ", + "Ġ Úĺ", + "Ġ ãĢĤĊ", + "ĠãĢĤ Ċ", + "èģ Į", + "Ġ ÙĨÛĮ", + "ĠÙĨ ÛĮ", + "ÑĤ оÑĢа", + "ÑĤо ÑĢа", + "ÑĤоÑĢ а", + "λ ι", + "Ġ ÙĪب", + "ĠÙĪ ب", + "iÅŁ im", + "iÅŁi m", + "ç» ´", + "ãĢĢ i", + "Ġm ua", + "Ġmu a", + "Ġj iž", + "Ġji ž", + "è¶ Ĭ", + "ãĤĴ è¦ĭ", + "Ġn á»Ļi", + "à¥į à¤Ĺ", + "à¥įठĹ", + "ç¨ ®", + "Ġ ãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢ", + "à¹ĥ หม", + "à¹ĥห ม", + "Ġ ÎĨ", + "ĠÎ Ĩ", + "ÙĨ دÛĮ", + "ÙĨد ÛĮ", + "ĠÑģ Ñĩ", + "Ġl á»ĩ", + "Ġlá» ĩ", + "l ub", + "lu b", + "еÑĢ ÑĤ", + "Ġ اطÙĦ", + "Ġا Ø·ÙĦ", + "Ġاط ÙĦ", + "ĠÑģ еÑĢед", + "ĠÑģеÑĢ ед", + "Ġ éģ", + "Ġé ģ", + "Ġз ал", + "Ġза л", + "ÙĨ ÛĮÙĨ", + "ÙĨÛĮ ÙĨ", + "çŁ¥ éģĵ", + "Ø¢ ÙĨ", + "Ġ кап", + "Ġк ап", + "Ġка п", + "Ġ à¹Ħม", + "Ġà¹Ħ ม", + "ů vod", + "ův od", + "ĠÙ¾ اÛĮ", + "Ġپا ÛĮ", + "ÑĤ ÑĢи", + "ÑĤÑĢ и", + "Ġi ht", + "Ġih t", + "๠Ĭ", + "Ġв ÑģÑĸ", + "ĠвÑģ Ñĸ", + "Ġt hay", + "Ġth ay", + "Ġtha y", + "å Ĩµ", + "åĨ µ", + "Ġ عÙĨÙĪاÙĨ", + "ĠعÙĨ ÙĪاÙĨ", + "Ġ Î¥", + "ĠÎ ¥", + "ภĿ", + "ε ÏĦαι", + "εÏĦ αι", + "iyor du", + "ï¼Į èĢĮ", + "çļĦ 人", + "Ġ सà¤Ń", + "Ġस à¤Ń", + "à¹ī à¸Ńย", + "à¹īà¸Ń ย", + "ι κο", + "ικ ο", + "ãĤĵ ãģ§", + "ì¡ ±", + "ÙĨج ÙĦÙĬزÙĬØ©", + "Ġž ád", + "ÑĢ ави", + "ÑĢа ви", + "ÑĢав и", + "γ γ", + "æµ ĭ", + "о ÑĨÑĸ", + "ãĢĢ ãĢĢĠãĢĢ", + "ãĢĢãĢĢ ĠãĢĢ", + "ãĢĢãĢĢĠ ãĢĢ", + "Ġतर ह", + "Ġ ëĨ", + "Ġë Ĩ", + "à¥Ģ à¤ļ", + "à¹Ī ม", + "Ġg á»ĵm", + "Ġk iá»ĩn", + "Ġki á»ĩn", + "è· Ł", + "Î ¦", + "es inin", + "esi nin", + "esini n", + "esin in", + "é ¥", + "é« Ķ", + "о Ñĩно", + "оÑĩ но", + "र ण", + "æĺ ¥", + "ç¶ ĵ", + "Ġ بار", + "Ġب ار", + "Ġبا ر", + "ê· ¼", + "éĻ ħ", + "Ġ سÙĬ", + "Ġس ÙĬ", + "Ñģ ÑĥÑĤ", + "ÑģÑĥ ÑĤ", + "ì µľ", + "å± ħ", + "ĠÄį esk", + "ĠÄįe sk", + "Îij ÎĿ", + "Ġd iá»ĩn", + "Ġdi á»ĩn", + "Ġ εί", + "Ġε ί", + "à¸ĩ à¸Ĺ", + "ãĤ ©", + "Ġv á»±c", + "Ġvá»± c", + "в ав", + "ва в", + "t ıģı", + "tı ģı", + "tıģ ı", + "Ġ ëªħ", + "Ġëª ħ", + "η ν", + "в иÑĤ", + "ви ÑĤ", + "Ġ Ø£Ùĥ", + "ĠØ£ Ùĥ", + "Ġп ÑĢоп", + "ĠпÑĢ оп", + "ĠпÑĢо п", + "r ak", + "ra k", + "ÑĢ аÑĤи", + "ÑĢа ÑĤи", + "ÑĢаÑĤ и", + "ĠÄij ánh", + "ĠÄijá nh", + "ÑĢ еп", + "ÑĢе п", + "ê ´ij", + "ê´ ij", + "е ÑĨÑĮ", + "еÑĨ ÑĮ", + "Ġब त", + "Ġ åĮĹ", + "ĠåĮ Ĺ", + "Ġs át", + "l edi", + "le di", + "led i", + "ìłģ ìľ¼ë¡ľ", + "ů j", + "Û° Û°", + "Ġnas ıl", + "Ġ ÙĪس", + "ĠÙĪ س", + "Ġ εξ", + "Ġε ξ", + "в Ñĭ", + "ç½ Ĺ", + "ارÛĮ Ø®", + "à¸Ľ ล", + "ί κ", + "Ġ ê¸Ī", + "Ġê¸ Ī", + "åĩ ł", + "å¼ ·", + "è¿ Ķ", + "Ġnh á»ı", + "å¾ Ģ", + "Ġда же", + "Ġç ev", + "к Ñĸ", + "Ġ Ø£Ùħ", + "ĠØ£ Ùħ", + "ี ส", + "ส ามารà¸ĸ", + "สาม ารà¸ĸ", + "Ġ ÐĦ", + "ĠÐ Ħ", + "Ñħод иÑĤ", + "ë ĸ", + "Ġtr uyá»ģn", + "Ġtruy á»ģn", + "Ġ ÑģÑĤан", + "ĠÑģÑĤ ан", + "ĠÑģÑĤа н", + "ëĵ¤ ìĿĢ", + "ا ÙĦت", + "اÙĦ ت", + "़ à¥ĩ", + "Ġ à¤ħब", + "Ġà¤ħ ब", + "æķ ¸", + "Ġд ÑĸÑı", + "ĠдÑĸ Ñı", + "ĠÙħ تر", + "ĠÙħت ر", + "Ġ ë¸", + "Ġë ¸", + "ï¾ į", + "Ġ ê³¼", + "Ġê³ ¼", + "Ġ زÛĮ", + "Ġز ÛĮ", + "ëŁ ¼", + "Ġ ÐŁÐµÑĢ", + "ĠÐŁ еÑĢ", + "Ġs ık", + "Ġsı k", + "н оÑģÑĤÑĮÑİ", + "ноÑģÑĤÑĮ Ñİ", + "ноÑģÑĤ ÑĮÑİ", + "Ġ eden", + "Ġe den", + "Ġed en", + "ا در", + "اد ر", + "ã Ħ", + "Ġ леÑĩ", + "Ġл еÑĩ", + "ĠÙĩ Ø°Ùĩ", + "ض ÙĪع", + "ضÙĪ ع", + "ĠìķĦ ëĭĪ", + "ĠìķĦëĭ Ī", + "ir ket", + "irk et", + "Ġ اگر", + "Ġا گر", + "ĠÑħ оÑĩ", + "Ġб ан", + "Ġба н", + "íĶ Į", + "æĢİ ä¹Ī", + "è Ľ", + "Ġब à¤ļ", + "ĠÚ© تاب", + "çī Į", + "Ġд ва", + "Ġдв а", + "ج ر", + "Ġп ÑĢоÑģÑĤо", + "ĠпÑĢоÑģÑĤ о", + "ĠпÑĢоÑģ ÑĤо", + "Ġà¤Ĩ व", + "Ġm ức", + "į ¼", + "Ġ jÃŃ", + "Ġj ÃŃ", + "íİ ĺ", + "Ġt amam", + "Ġta mam", + "Ġtam am", + "åĪ Ľ", + "ภĴ", + "п еÑĩ", + "пе Ñĩ", + "à¥ĭ स", + "Ġ Ñģем", + "ĠÑģ ем", + "Ġt Æ°Æ¡ng", + "ä¸ ģ", + "ī ´", + "Ġ ÑĢоÑģ", + "ĠÑĢ оÑģ", + "Ġ маÑĶ", + "Ġм аÑĶ", + "Ġма ÑĶ", + "æŃ Į", + "Ġ داÙĨÙĦÙĪد", + "ĠداÙĨ ÙĦÙĪد", + "ĠL oÃłi", + "ĠLo Ãłi", + "Ġed ilm", + "Ġedi lm", + "Ġedil m", + "Ġk onu", + "Ġko nu", + "Ġkon u", + "ĠاÙĦ Ùħر", + "ĠاÙĦÙħ ر", + "Ġu laÅŁ", + "Ġul aÅŁ", + "Ġyük sek", + "ο ι", + "Ùİ ÙĨ", + "Ġ bÄĽ", + "Ġb ÄĽ", + "ãĤ·ãĥ§ ãĥ³", + "ï¿£ ￣￣￣", + "￣￣ ￣￣", + "￣￣￣ ï¿£", + "Ġg üç", + "Ġgü ç", + "Ġ اÙĪÙĦ", + "Ġا ÙĪÙĦ", + "ĠاÙĪ ÙĦ", + "Ġ ма", + "Ġм а", + "Ġب خش", + "Ġبخ Ø´", + "ा à¤ĸ", + "ाठĸ", + "Ġв иÑģ", + "Ġви Ñģ", + "ž enÃŃ", + "že nÃŃ", + "žen ÃŃ", + "Ġz působ", + "Ġzp ůsob", + "z nam", + "zn am", + "Ġ رÙĪÛĮ", + "Ġر ÙĪÛĮ", + "ĠرÙĪ ÛĮ", + "åĭ Ŀ", + "। Ċ", + "ÙĦ ÙĤ", + "Ġж из", + "ÑĢ Ñĸв", + "ÑĢÑĸ в", + "ĠÑĥ пÑĢав", + "ĠÑĥп ÑĢав", + "Ġph á»ij", + "ic ros", + "icro s", + "Ġ à¹ģà¸ķ", + "Ġà¹ģ à¸ķ", + "Ġ ë°ķ", + "Ġë° ķ", + "ÙĪ ات", + "ÙĪا ت", + "ï¼Į ä¸Ģ", + "ан Ñģ", + "ç´ ļ", + "ย à¸Ļ", + "à¹ģ à¸Ĥ", + "Ġgi áo", + "Ġgiá o", + "äºĮ äºĮ", + "Ġ Ä°s", + "ĠÄ° s", + "ìĬ ¹", + "Ġo lacak", + "Ġol acak", + "Ġola cak", + "Ġ Các", + "ĠC ác", + "Ġ ÑĢÑĥб", + "ĠÑĢ Ñĥб", + "ĠÑĢÑĥ б", + "ẹ p", + "ÄŁ iniz", + "ÄŁini z", + "ÄŁin iz", + "ãģª ãģ©", + "Ġ моÑĢ", + "Ġм оÑĢ", + "Ġмо ÑĢ", + "ĠÑģ дел", + "ÙĦ ÙħاÙĨ", + "ÙĦÙħ اÙĨ", + "n ém", + "né m", + "å° į", + "Ġd ne", + "Ġdn e", + "ì¶ľ ìŀ¥", + "ع ب", + ": ::::::", + ":: :::::", + ":::: :::", + ":::::: :", + "::: ::::", + "::::: ::", + "Î Ĵ", + "e ket", + "ek et", + "Ġ ÑĢеÑĪ", + "ĠÑĢ еÑĪ", + "ĠÑĢе ÑĪ", + "è Ī¬", + "èĪ ¬", + "Ġ íĻĶ", + "ĠíĻ Ķ", + "ص د", + "Ġ маÑĢ", + "Ġм аÑĢ", + "Ġма ÑĢ", + "Ñı ж", + "Ø´ ار", + "ãģ ²", + "Ġ اÙĦÙĬ", + "Ġا ÙĦÙĬ", + "ĠاÙĦ ÙĬ", + "Ù į", + "à¤Ĥ à¤ľ", + "м Ñĭ", + "Ġka rar", + "Ġkar ar", + "Ġkara r", + "ÙĦÛĮ سÛĮ", + "ÙĦÛĮس ÛĮ", + "า à¸ĵ", + "าภĵ", + "ç¾ ¤", + "Ġol ması", + "Ġolm ası", + "Ġolma sı", + "Ġhaz ır", + "γÏģα ÏĨ", + "¯ u", + "в ол", + "во л", + "ĠÑģ ÑĤаÑĢ", + "ĠÑģÑĤ аÑĢ", + "ĠÑģÑĤа ÑĢ", + "o vala", + "ov ala", + "ova la", + "oval a", + "Ġв озмож", + "Ġвоз мож", + "Ġ дав", + "Ġд ав", + "Ġда в", + "é¢ ¨", + "ر ا", + "Ġдоп ом", + "ê² ĥ", + "Ġ ìĺ¬", + "Ġìĺ ¬", + "Ġ åİ", + "Ġå İ", + "Ġ 못", + "Ġëª »", + "u ç", + "í ļ", + "l ük", + "lü k", + "ä¸Ń å¿ĥ", + "Ġ दर", + "Ġद र", + "Ġ âĹĨ", + "ĠâĹ Ĩ", + "Ġt ay", + "Ġta y", + "Ġب سÛĮ", + "Ġبس ÛĮ", + "Ġ ÏĥÏĦα", + "ĠÏĥ ÏĦα", + "ĠÙħ Ø®", + "Ñı Ñī", + "å· ®", + "ภī", + "ëł ¹", + "à¹ĥà¸Ļ à¸ģาร", + "Ġ ÙĩÙĨ", + "ĠÙĩ ÙĨ", + "ãģ ¶", + "л Ñĸд", + "лÑĸ д", + "å į°", + "åį °", + "Ġs ao", + "Ġsa o", + "ÅĻ ad", + "리 ëĬĶ", + "Ñģ лед", + "Ñģл ед", + "åĶ ®", + "Ġ |:", + "Ġ| :", + "æķĻ èĤ²", + "Ġм ол", + "Ġмо л", + "ĠÙĩ ÙĬ", + "ë ģ", + "Ġ кÑĥлÑĮ", + "Ġк ÑĥлÑĮ", + "ĠкÑĥ лÑĮ", + "' nin", + "'n in", + "Ġ خر", + "ĠØ® ر", + "Ġge nel", + "Ġgen el", + "Ġgene l", + "Ġt á»Ń", + "Ġtá» Ń", + "Ġkur ul", + "Ġkuru l", + "ен ÑĤи", + "енÑĤ и", + "à¥ĭ à¤ľà¤¨", + "à¥ĭà¤ľ न", + "è¿Ļ æł·", + "Ġм Ñĸж", + "ĠмÑĸ ж", + "Ġngh iá»ĩm", + "Ġnghiá»ĩ m", + "ĠÏĢ ολ", + "ĠÏĢο λ", + "æĭ Ľ", + "Ġà¤Ĺ à¤ı", + "ầ y", + "Ġc ảm", + "Ġcả m", + "ç´ °", + "rı ca", + "Ġ عÙĦÛĮ", + "Ġع ÙĦÛĮ", + "ĠعÙĦ ÛĮ", + "ิ à¹ī", + "h ur", + "hu r", + "Ġch Æ°a", + "Ñĥ ÑĶÑĤÑĮÑģÑı", + "ÑĥÑĶ ÑĤÑĮÑģÑı", + "ãģ© ãģĨ", + "Ñĥ л", + "ิ ร", + "Ġ æľī", + "ä¼ ¼", + "ÑĦ еÑĢ", + "ÑįÑĤ омÑĥ", + "æĹ ħ", + "ĠÙħ ÙĪج", + "ĠÙħÙĪ ج", + "Ġ 본", + "Ġë³ ¸", + "Ġgi á»Ŀ", + "Ġgiá» Ŀ", + "Ġk iến", + "Ġki ến", + "à¹Ī วย", + "à¹Īว ย", + "Ġd üny", + "Ġdü ny", + "Ġdün y", + "Ġ زÙħ", + "Ġز Ùħ", + "о вÑĸ", + "ов Ñĸ", + "ĠÑĨ ÑĮого", + "ิ à¸ļ", + "Ġ ìĨIJ", + "ĠìĨ IJ", + "èIJ ¥", + "Ġ ÑĢÑĸз", + "ĠÑĢ Ñĸз", + "Ġh á»Ĺ", + "Ġhá» Ĺ", + "ÑĢ Ñĸб", + "ÑĢÑĸ б", + "Ġ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ìľ¼ ë©°", + "äºĨ ä¸Ģ", + "ĠÙĤ بÙĦ", + "ĠÙĤب ÙĦ", + "é¾ Ļ", + "Ġ گذ", + "ĠÚ¯ Ø°", + "Ġ ÙĤد", + "ĠÙĤ د", + "ãģª ãģĭãģ£ãģŁ", + "Ġ à¹Ģร", + "Ġà¹Ģ ร", + "Ġà¹Ģภ£", + "å¸ Į", + "ĠÑģ Ñħ", + "Ġг ÑĢом", + "ĠгÑĢ ом", + "ĠгÑĢо м", + "åĽ ¢", + "Ġ ì§ij", + "Ġì§ ij", + "Ġ лÑĥÑĩ", + "Ġл ÑĥÑĩ", + "åħ µ", + "Ġ ÐŀÑĤ", + "ĠÐŀ ÑĤ", + "Ġmu á»ijn", + "ãģĺ ãĤĥ", + "o vnÃŃ", + "ov nÃŃ", + "ë©´ ìĦľ", + "ë³ Ģ", + "Ġн еб", + "Ġне б", + "Ñģ ии", + "Ñģи и", + "ÙĨ Ùħ", + "ÄŁ in", + "ÄŁi n", + "Ġt oho", + "Ġto ho", + "Ġtoh o", + "en iz", + "eni z", + "ب اش", + "با Ø´", + "ĠÑģ лÑĥж", + "ĠÑģл Ñĥж", + "ĠÑģлÑĥ ж", + "Ġb ợi", + "Ġüzer e", + "Ġüz ere", + "Ġs adece", + "Ġsad ece", + "ĠÏĢ αÏģ", + "ĠÏĢα Ïģ", + "³³³³³³³³ ³³³³³³³³", + "³³³³³³³ ³³³³³³³³³", + "³³³³³ ³³³³³³³³³³³", + "³³³³³³³³³ ³³³³³³³", + "³³³³³³³³³³³ ³³³³³", + "èĮ ĥ", + "ÏĦ ικÏĮ", + "ÏĦικ ÏĮ", + "ÏĦι κÏĮ", + "Ġ äºĮ", + "ãĤĪãģĨ ãģ«", + "è ŀ", + "ãģ® ãģ¯", + "Ġ ÑĥкÑĢаÑĹн", + "ĠÑĥ кÑĢаÑĹн", + "Ġb ắt", + "в ан", + "ва н", + "Ġ ÑģÑĤÑĢа", + "ĠÑģ ÑĤÑĢа", + "ĠÑģÑĤ ÑĢа", + "ĠÑģÑĤÑĢ а", + "è¡ Ģ", + "nu tÃŃ", + "nut ÃŃ", + "o kt", + "ok t", + "รà¸ĩ à¹Ģร", + "Ġ صÙģ", + "Ġص Ùģ", + "åħ ļ", + "ÏĦ ί", + "ï¼ģ ãĢįĊĊ", + "ï¼ģãĢį ĊĊ", + "ĠÑĤем п", + "ĠÑĤе мп", + "é¡ Į", + "Ġs luž", + "Ġslu ž", + "Ñĥ ков", + "Ñĥк ов", + "Ġngh Ä©a", + "ĠnghÄ© a", + "çĶ ²", + "Ġd á»ħ", + "о ви", + "ов и", + "ÏĦ Ïħ", + "ر ÛĮÚ©", + "رÛĮ Ú©", + "ĠA nh", + "ĠAn h", + "ĠвÑģ его", + "ĠвÑģе го", + "âĢĮ Ú©ÙĨ", + "âĢĮÚ© ÙĨ", + "te ÅĻÃŃ", + "Ġm ục", + "Ùĩ ÙĨÚ¯", + "ÙĩÙĨ Ú¯", + "Ġ ÐŁÐ¾Ñģ", + "ĠÐŁ оÑģ", + "ĠÐŁÐ¾ Ñģ", + "Úĺ Ùĩ", + "ĠاÙĦ غ", + "æĿ ¾", + "y sl", + "ys l", + "Ġyap ılan", + "Ġyapı lan", + "Ġyapıl an", + "çĪ ¶", + "Ġm ạnh", + "ر اÙĩ", + "را Ùĩ", + "à¸Ķ à¸ĩ", + "o Äį", + "ë§ IJ", + "åł Ĥ", + "м аÑĤ", + "ма ÑĤ", + "Ġ eÅŁ", + "Ġe ÅŁ", + "ÙĪÙħ ات", + "Ġس اخت", + "åĽł 为", + "Ġп ÑĢий", + "ĠпÑĢ ий", + "ĠпÑĢи й", + "ıl mÄ±ÅŁ", + "é¤ ¨", + "ุ à¸ĩ", + "Ġ ëģ", + "Ġë ģ", + "à¸ķ าม", + "à¸ķา ม", + "åIJ ī", + "μ ή", + "Ġ æľ¬", + "Ġzá klad", + "ت ØŃ", + "è¾ ¼", + "Ġв Ñĸй", + "ĠвÑĸ й", + "ĠÙħÙĨ Ø·", + "Ġto án", + "к аÑĢ", + "ка ÑĢ", + "Ġ ÐĹа", + "ĠÐĹ Ð°", + "ĠпÑĢи мен", + "ĠпÑĢим ен", + "ãĤĭ ãģ¨", + "ั à¸Ĺ", + "ÛĮ س", + "ĠاÙĨ جاÙħ", + "ĠاÙĨج اÙħ", + "Ġع ÙĦÙĬ", + "ĠعÙĦ ÙĬ", + "़ ि", + "e ných", + "en ých", + "ený ch", + "ĠL iên", + "ĠLi ên", + "Ġ па", + "Ġп а", + "éļ Ĭ", + "Ġmo hou", + "Ġmoh ou", + "Ġк ÑĸлÑĮ", + "Ġ Το", + "ĠΤ ο", + "ا ÙĦب", + "اÙĦ ب", + "ÎŃ Î½", + "Ġna bÃŃ", + "Ġnab ÃŃ", + "ç i", + "ler den", + "lerde n", + "Ġth anh", + "Ġthan h", + "Ġtha nh", + "Ġb ütün", + "Ġ åŁ", + "Ġå Ł", + "ì¸ ł", + "Ġz at", + "Ġza t", + "ÙĬ ÙĪ", + "Ġμ ια", + "uy ết", + "Ñij н", + "åĪ Ĵ", + "ли во", + "лив о", + "à¹Ī à¸Ńà¸ĩ", + "à¹Īà¸Ń à¸ĩ", + "ä»ĸ 们", + "Ġб аг", + "Ġба г", + "ि à¤Ń", + "िठŃ", + "ĠÑĤ ам", + "ĠÑĤа м", + "Ġп ÑĢеп", + "ĠпÑĢ еп", + "ĠпÑĢе п", + "ิ à¸Ĭ", + "âĢĻ Ñıз", + "âĢĻÑı з", + "ĠPh ân", + "ж ен", + "же н", + "à¥Ī à¤ķ", + "ĠÑģлÑĥÑĩа е", + "Ġ .:", + "Ġ. :", + "åѦ æł¡", + "Ä° N", + "ç¾ ©", + "ĠÑģ ÑĤо", + "ĠÑģÑĤ о", + "Ġ हर", + "Ġह र", + "Ïħ ν", + "Ġx em", + "Ġxe m", + "Ġб ÑĥÑĤи", + "ĠбÑĥ ÑĤи", + "Ñģ иÑĤ", + "Ñģи ÑĤ", + "çª ģ", + "à¥į à¤Ľ", + "à¥įठĽ", + "åij ¢", + "ï¼Į ä¹Ł", + "e nÄĽ", + "en ÄĽ", + "Ġ κά", + "Ġκ ά", + "iy orum", + "iyor um", + "ĠÚ¯ Ùģت", + "âĹıâĹı âĹıâĹı", + "ั ม", + "Ġ Ðļон", + "ĠÐļ он", + "ĠÐļо н", + "н оÑĪ", + "но ÑĪ", + "ниÑĨ ÑĤ", + "ü zel", + "üz el", + "s ÃŃ", + "å¸ «", + "ص ÙĪÙĦ", + "çĥ Ń", + "ĠÄij ủ", + "ĠÄijá» §", + "ãĤ ®", + "æķ ħ", + "ĠÅ¡ kol", + "ĠÅ¡k ol", + "Ñĩ ен", + "Ñĩе н", + "à¹Ģ ย", + "à¹Ģภ¢", + "à¸Ļ à¸Ļ", + "ÙĢ ÙĢÙĢÙĢ", + "ÙĢÙĢ ÙĢÙĢ", + "ÙĢÙĢÙĢ ÙĢ", + "Ġ üç", + "Ġü ç", + "å¿ µ", + "ãĥª ãĤ¢", + "Ġ íĻĺ", + "ĠíĻ ĺ", + "Ġ éĩij", + "Ġéĩ ij", + "çı Ń", + "Ġ Ñģклад", + "ĠÑģ клад", + "ĠÑģк лад", + "Ñı ми", + "Ñıм и", + "ü f", + "Ġh ã", + "ĠÄIJ ại", + " Ĥ", + "åĦ ª", + "Ġbul unan", + "Ġbulun an", + "ĠاÙĦ ÙħØŃ", + "ĠاÙĦÙħ ØŃ", + "æĪ ı", + "Ġ è©", + "Ġè ©", + "Ġн оÑĢм", + "ĠноÑĢ м", + "Ġchu ẩn", + "Ġз аÑģÑĤ", + "Ġза ÑģÑĤ", + "ĠзаÑģ ÑĤ", + "Ġ vÃŃce", + "ĠvÃŃ ce", + "ĠvÃŃc e", + "Ð ĸ", + "Ġà¤Ĩ ध", + "Ġ Äįas", + "ĠÄį as", + "Ġ боÑĢ", + "Ġб оÑĢ", + "Ġбо ÑĢ", + "Ïģ ια", + "Ïģι α", + "ĠÙħ اÙĩ", + "ĠÙħا Ùĩ", + "Ġ íħ", + "Ġí ħ", + "ÅĻ el", + "ÅĻe l", + "Ñı ви", + "Ñıв и", + "ÏĦ εÏĤ", + "ÏĦε ÏĤ", + "i nÄĽ", + "in ÄĽ", + "Ġп еÑĢе", + "ĠпеÑĢ е", + "éķ ĩ", + "à¥įठŀ", + "Ġ éĺ", + "Ġé ĺ", + "à¹Ī าว", + "à¹Īา ว", + "ร ร", + "Ġ سÙĩ", + "Ġس Ùĩ", + "в али", + "ва ли", + "вал и", + "çķ Ļ", + "ĠÑĦ Ñĥнк", + "ĠÑĦÑĥн к", + "Ġ íĸī", + "Ġí ĸī", + "Ġíĸ ī", + "Ùģ Ùĩ", + "çĶŁ æ´»", + "èģ ŀ", + "o kud", + "ok ud", + "oku d", + "Ġ ìĤ´", + "ĠìĤ ´", + "ı zı", + "ız ı", + "Ġпо лÑĥ", + "Ġпол Ñĥ", + "ï¼Į ä½ł", + "Ø´ اÙĨ", + "æ± º", + "б ÑĢÑı", + "оÑģÑĥд аÑĢ", + "Ġo yun", + "Ġoy un", + "а нии", + "ан ии", + "ани и", + "Ġp rů", + "Ġpr ů", + "Ġn áv", + "Ġná v", + "Ġм енÑı", + "Ġмен Ñı", + "Ġìŀ ĺ", + "Ġ Ä°n", + "ĠÄ° n", + "Ġth ÃŃch", + "ĠthÃŃ ch", + "ĠÄij ảm", + "åľ Ĵ", + "Ġв же", + "Ġl oÃłi", + "Ġlo Ãłi", + "Ġ Ðŀн", + "ĠÐŀ н", + "м еÑģÑĤ", + "ме ÑģÑĤ", + "Ġ ξ", + "ĠÎ ¾", + "ãĢ ħ", + "Ġch iế", + "Ġchi ế", + "Ñĩ Ñĸ", + "Ġ íijľ", + "Ġí ijľ", + "ëĭ ¬", + "Ġ ëĭ¬", + "Ġëĭ ¬", + "à¥Ģ ड", + "ÑĢ алÑĮ", + "ÑĢа лÑĮ", + "ÑĢал ÑĮ", + "d ik", + "di k", + "Ġ íĨł", + "ĠíĨ ł", + "ëŁ ī", + "Ġ صÙĨ", + "Ġص ÙĨ", + "Ġs tej", + "Ġst ej", + "Ġste j", + "Ġа кÑĤив", + "Ġак ÑĤив", + "ĠакÑĤ ив", + "ĠакÑĤи в", + "Ġ é¦", + "Ġé ¦", + "Ġ à¹Ħà¸Ķ", + "Ġà¹Ħ à¸Ķ", + "æĬĢ æľ¯", + "Ġp rostÅĻed", + "Ġpro stÅĻed", + "Ġprost ÅĻed", + "å® ³", + "ãģ IJ", + "Ġol uÅŁtur", + "ĠoluÅŁ tur", + "e lop", + "el op", + "elo p", + "ãģ¡ ãĤĥ", + "éĥ İ", + "ض ا", + "Ġ خط", + "ĠØ® Ø·", + "ë° ķ", + "е ÑģÑı", + "еÑģ Ñı", + "ĠÙĩ ÛĮ", + "н ад", + "на д", + "Ġng Ãłnh", + "ÑĢ ÑĥÑĪ", + "ÑĢÑĥ ÑĪ", + "ãģĦ ãģĦ", + "Ġü rün", + "Ġür ün", + "à¸Ń à¸ķ", + "à¥ĭ प", + "Ġs ayı", + "Ġsa yı", + "Ġsay ı", + "à¥Ģ स", + "е ниÑħ", + "ен иÑħ", + "ени Ñħ", + "Ġ Ñģим", + "ĠÑģ им", + "ĠÑģи м", + "à¥Ģ द", + "å¤ ī", + "à¹Ī วม", + "à¹Īว ม", + "Ġ à¹Ģà¸Ĥ", + "Ġà¹Ģ à¸Ĥ", + "Ġà¹ĢภĤ", + "å·² ç»ı", + "а ÑĤо", + "аÑĤ о", + "ĠÑĢай он", + "í ĥĿ", + "íĥ Ŀ", + "Ġ ÑĤÑĢа", + "ĠÑĤ ÑĢа", + "ĠÑĤÑĢ а", + "l ayan", + "la yan", + "lay an", + "ế p", + "ा à¤Ł", + "ाठŁ", + "Ø® اب", + "人 æ°ij", + "å® Ŀ", + "è Ĩ", + "èª į", + "n aÄį", + "na Äį", + "Ġî ł", + "ĠÐļ и", + "ĠbaÅŁ ka", + "ĠbaÅŁk a", + "c ů", + "ض ع", + "èĪ ª", + "ี ม", + "Ñĭ ми", + "Ñĭм и", + "ÎĻ Σ", + "Ġشر کت", + "ย ว", + "Ġmus ÃŃ", + "Ġmu sÃŃ", + "Ġн ал", + "Ġна л", + "ี à¸Ĺ", + "Ġ áp", + "Ġá p", + "ร าย", + "æ² ¹", + "l eme", + "le me", + "lem e", + "Ġ मन", + "Ġम न", + "à¹Ħ à¸Ł", + "а ÑĤив", + "аÑĤ ив", + "аÑĤи в", + "¸ ı", + "èŃ °", + "Ïĥ ÏĦα", + "ÏĥÏĦ α", + "íĸ ¥", + "е ÑĤÑĥ", + "еÑĤ Ñĥ", + "ĠÑģв Ñıз", + "ĠÑģвÑı з", + "ед еÑĢа", + "ĠØ® ارج", + "า ษ", + "าภ©", + "âĢĮ Ù¾", + "Ñĸ г", + "é¡ ŀ", + "Ġkh ả", + "ĠÑģ пÑĢав", + "ĠÑģп ÑĢав", + "è¡ Ĺ", + "ãĥķ ãĤ¡", + "ãĥķãĤ ¡", + "Ġм еждÑĥ", + "Ġмеж дÑĥ", + "Ñĥ ли", + "Ñĥл и", + "Ġب زر", + "ÑĨ ен", + "ÑĨе н", + "Ġek onom", + "د ÙĨ", + "ا ÙħÛĮ", + "اÙħ ÛĮ", + "าส à¸ķร", + "ĠnÄĽ kol", + "ĠnÄĽk ol", + "g ün", + "з и", + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł", + "ç¦ »", + "Ġtr Æ°á»Łng", + "ı i", + "íİ ¸", + "Ġ ÑĢеб", + "ĠÑĢ еб", + "ĠÑĢе б", + "åº ķ", + "Ġت ارÛĮØ®", + "н има", + "ни ма", + "ним а", + "Ġth ân", + "аÑĤ елÑĮно", + "аÑĤелÑĮ но", + "ĠاÙĦ Ø°ÙĬ", + "ĠاÙĦØ° ÙĬ", + "ÙĪ ÙĨÛĮ", + "ÙĪÙĨ ÛĮ", + "Ġ éĥ", + "Ġé ĥ", + "Ġb ình", + "Ġbì nh", + "ικ ήÏĤ", + "ική ÏĤ", + "à¸ŀ ล", + "تÙħ اع", + "ĠPr aha", + "ĠPra ha", + "Ġ ÑģÑĤав", + "ĠÑģÑĤ ав", + "ĠÑģÑĤа в", + "د ÙĬد", + "دÙĬ د", + "Ġgi ữa", + "Ġgiữ a", + "ĠпÑĢо вед", + "ĠпÑĢов ед", + "Âł k", + "ÙĨد Ú¯ÛĮ", + "ÑĨ ий", + "ÑĨи й", + "ç Ĵ", + "ĠاÙĦ Ø£Ùħ", + "ĠاÙĦØ£ Ùħ", + "Ġ è´", + "Ġè ´", + "Ø¥ ÙĨجÙĦÙĬزÙĬØ©", + "ĠìŀĪ ìĹĪëĭ¤", + "ĠìŀĪìĹĪ ëĭ¤", + "ç ·¨", + "ç· ¨", + "ัà¸Ļ à¸ĺ", + "ĠÑĢок Ñĸв", + "Ġc áo", + "Ġcá o", + "Ġkh ó", + "Ġ ÙĨÙĪع", + "ĠÙĨ ÙĪع", + "ĠÙĨÙĪ ع", + "س ÙĦ", + "Ġ ÑĥÑģлов", + "ĠÑĥ Ñģлов", + "ĠÑĥÑģл ов", + "ĠÑĥÑģ лов", + "Ġcứ u", + "ов ого", + "ово го", + "ि à¤Ĺ", + "िठĹ", + "Ķ ëĭ¤", + "æĿ İ", + "Ġbö lg", + "Ġböl g", + "Ġn gu", + "Ġng u", + "Ġh ữu", + "Ġhá» ¯u", + "н ии", + "ни и", + "ìł Ī", + "Ġп ÑĢом", + "ĠпÑĢ ом", + "ĠпÑĢо м", + "åı Į", + "Ġd Æ°á»Ľi", + "ĠdÆ°á» Ľi", + "ĠdÆ° Ỽi", + "Ð ®", + "ÙĬ Ø´", + "æ¸ ©", + "ëı ħ", + "Ġз мÑĸ", + "Ġзм Ñĸ", + "θη κε", + "ĠbaÄŁ lı", + "Ġüzer inde", + "Ġ تغ", + "Ġت غ", + "Ġп ÑĢогÑĢа", + "ĠпÑĢ огÑĢа", + "ĠпÑĢо гÑĢа", + "ĠпÑĢог ÑĢа", + "i ž", + "Ġ ç¥", + "Ġç ¥", + "Ġy ardım", + "Ġyard ım", + "Ġyar dım", + "ÂĢ ÂĢ", + "ÂĢ Ģ", + "Ġ Ñĥв", + "ĠÑĥ в", + "Ġ rů", + "Ġr ů", + "Ġch iến", + "Ġchi ến", + "Ġchiế n", + "ν οÏĤ", + "νο ÏĤ", + "ãģ¨ ãģª", + "ا ÙĨت", + "اÙĨ ت", + "è° ·", + "ÃŃ sk", + "ÃŃs k", + "is inde", + "isi nde", + "isin de", + "Ġд ог", + "Ġдо г", + "è¿ ½", + "Ġп ÑĢоÑĤив", + "ĠпÑĢо ÑĤив", + "ĠпÑĢоÑĤ ив", + "ĠпÑĢоÑĤи в", + "Ïģ οÏħ", + "Ïģο Ïħ", + "ãģ® ãģĭ", + "Ġb azı", + "Ġba zı", + "Ġbaz ı", + "ı rak", + "ır ak", + "à¥ĩ ष", + "à¥ĩठ·", + "ĠÙħ شار", + "ĠÙħØ´ ار", + "Ġ ìĸij", + "Ġìĸ ij", + "Ġ нез", + "Ġн ез", + "Ġне з", + "Ġ Ø°ÙĦÙĥ", + "ĠØ° ÙĦÙĥ", + "èª ¿", + "åĤ Ļ", + "ĠÑĤ ÑĢан", + "ĠÑĤÑĢ ан", + "ĠÑĤÑĢа н", + "ĠÏĢ αÏģα", + "ĠÏĢαÏģ α", + "ĠÏĢα Ïģα", + "ÛĮ Ùħت", + "ÛĮÙħ ت", + "Ġt iến", + "Ġti ến", + "Ġtiế n", + "ĠÙĩ ÙħÙĩ", + "ĠÙĩÙħ Ùĩ", + "e fon", + "ef on", + "» .ĊĊ", + "». ĊĊ", + "».Ċ Ċ", + "Ġ ÙĨد", + "ĠÙĨ د", + "ج ÙĦ", + "Ġد ادÙĩ", + "Ġداد Ùĩ", + "Ġ вед", + "Ġв ед", + "Ġве д", + "Ġ sın", + "Ġs ın", + "Ġsı n", + "ĠÑģ вÑĸÑĤ", + "ĠÑģв ÑĸÑĤ", + "e lerin", + "el erin", + "eler in", + "ele rin", + "eleri n", + "âĪ ¨", + "Ġy ür", + "д ан", + "да н", + "Ġ ÐŀÑģ", + "ĠÐŀ Ñģ", + "Ġh ạng", + "Ġhạn g", + "Ġhạ ng", + "è® ¸", + "Ïĥ ÏĦη", + "ÏĥÏĦ η", + "uy ến", + "Ġн аб", + "Ġна б", + "Ġ оÑħ", + "Ġо Ñħ", + "Ïĥ Ïī", + "Ġby ly", + "Ġbyl y", + "Ñģ киÑħ", + "Ñģк иÑħ", + "Ñģки Ñħ", + "l amak", + "la mak", + "lam ak", + "lama k", + "и ÑĤоÑĢ", + "иÑĤ оÑĢ", + "Ġy atır", + "Ġya tır", + "Ġyat ır", + "ĠпÑĢоиз вод", + "Ġ جÙħع", + "Ġج Ùħع", + "ĠجÙħ ع", + "Å ł", + "æıIJ ä¾Ľ", + "Ġpr vnÃŃ", + "Ġprv nÃŃ", + "Ġα ÏĢ", + "íĻ ©", + "ĠпÑĢа кÑĤи", + "ler inden", + "lerin den", + "lerinde n", + "ĠнеобÑħодим о", + "åº ·", + "Ùİ Ø§", + "Ġ سÙĨ", + "Ġس ÙĨ", + "Ä° L", + "Ġ ê´ij", + "Ġê ´ij", + "Ġê´ ij", + "Ġ PÅĻ", + "ĠP ÅĻ", + "ç ŀ", + "ĠÑĤемп еÑĢаÑĤÑĥ", + "Ġka bul", + "Ġkab ul", + "Ġbu dou", + "Ġbud ou", + "ÑĨÑĸ оналÑĮ", + "ÑĨÑĸон алÑĮ", + "ï½ ľ", + "Ġç ocuk", + "Ġçocu k", + "ĠÑĤ ÑĸлÑĮки", + "b yt", + "by t", + "ãĥ ¤", + "ĠÑģÑĤ аÑĤ", + "ĠÑģÑĤа ÑĤ", + "Ġ æĿ±", + "ĠæĿ ±", + "le žit", + "اس طة", + "ุ ร", + "i êm", + "iê m", + "ĠкÑĥлÑĮ ÑĤÑĥ", + "Ġ пон", + "Ġп он", + "Ġпо н", + "Ä© nh", + "åĸ ľ", + "н ев", + "не в", + "ÑĶ н", + "ĠÑģо оÑĤ", + "ë Ŀ", + "çĪ ¾", + "Ġtu á»ķi", + "k anı", + "kan ı", + "สำ หร", + "ا عت", + "اع ت", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "д еÑĢж", + "деÑĢ ж", + "Ġоб лаÑģÑĤи", + "Ġобла ÑģÑĤи", + "ĠоблаÑģ ÑĤи", + "ĠоблаÑģÑĤ и", + "Ġобл аÑģÑĤи", + "Ġv ừa", + "Ġvá» «a", + "Ġ ÙħÙħ", + "ĠÙħ Ùħ", + "à¸ģ ำ", + "à¹ģ ม", + "iver sit", + "ivers it", + "à¹ģ ส", + "æ¬ §", + "l anan", + "la nan", + "lan an", + "ÙĬ ÙĨØ©", + "ÙĬÙĨ Ø©", + "س Ø©", + "ĠлÑİд ей", + "ร รม", + "รร ม", + "Ġ ì±Ħ", + "Ġì± Ħ", + "Ġ 天", + "Ġå¤ ©", + "ен нÑĭÑħ", + "à¹ģ ห", + "Ġs práv", + "Ġsp ráv", + "Ġspr áv", + "èŃ ¦", + "ï¼ ľ", + "ั à¸Ĵ", + "il ecek", + "ile cek", + "ilece k", + "Ġ æŁ", + "Ġæ Ł", + "Ġ èĭ±", + "Ġèĭ ±", + "ĠÑħ оÑĢоÑĪ", + "ëł ĩ", + "Û² Û°Û°", + "Û²Û° Û°", + "æĬ ¤", + "Ġl ã", + "ÅĻÃŃ zenÃŃ", + "ÅĻÃŃz enÃŃ", + "ĠتÙĪÙĦ ÛĮد", + "éļ Ľ", + "ãĤĮ ãģ°", + "á Å¡", + "ارÙĬ Ø®", + "æĶ »", + "Ġkho ảng", + "Ġkhoản g", + "éĻ į", + "о ван", + "ов ан", + "ова н", + "Ġg ây", + "âĢĻn ın", + "Ø£ ÙĨ", + "m iÅŁtir", + "mi ÅŁtir", + "miÅŁ tir", + "miÅŁti r", + "Ġs ức", + "Ġsứ c", + "к ÑĥÑģ", + "кÑĥ Ñģ", + "Ġüzer ine", + "ÄŁ ü", + "ا بر", + "اب ر", + "ï¼Į å°±", + "Ì £", + "Ġ ëıĮ", + "Ġëı Į", + "Ġtr á»±c", + "æĶ¶ å½ķ", + "æī ¿", + "ĠN á»Ļi", + "Ġ çĻ¾", + "ĠçĻ ¾", + "ÑĪ ÑĮ", + "ج Ø©", + "ë² ł", + "ठī", + "à ¸ı", + "ภı", + "Ġü lk", + "Ġül k", + "ĠÙĩست ÙĨد", + "ัà¸ļ à¸ģาร", + "ĠÑı ка", + "ĠÑıк а", + "ã İ", + "Ġ Як", + "ĠЯ к", + "Ġг де", + "t iv", + "ti v", + "ãĢ Ī", + "лÑİ Ñĩа", + "лÑİÑĩ а", + "ा ।Ċ", + "ा। Ċ", + "Ġ ÙħاÙĨ", + "ĠÙħ اÙĨ", + "ĠÙħا ÙĨ", + "Ġd lou", + "Ġdl ou", + "Ġ ãĥķ", + "Ġãĥ ķ", + "ठĽ", + "Ġph ục", + "Ġphụ c", + "a kat", + "ak at", + "aka t", + "Ð ¬", + "as ını", + "ĠæĬķ 稿", + "ÑĢ ев", + "ÑĢе в", + "Ġv yt", + "Ġvy t", + "Ġz mÄĽ", + "Ġzm ÄĽ", + "ÏĦ Ïī", + "è ¬", + "Ġ Ñĥм", + "ĠÑĥ м", + "Ġuz un", + "Ġp roti", + "Ġpro ti", + "Ġpr oti", + "Ġprot i", + "ĠÑģо ÑģÑĤоÑı", + "ĠÑģоÑģÑĤ оÑı", + "ัà¸Ĵ à¸Ļ", + "a tik", + "at ik", + "ati k", + "Ġ à¸ł", + "Ġภł", + "Ġà¤Ĩ द", + "lar ından", + "ların dan", + "larında n", + "æĢ ¥", + "ãĥ¼ ãĤ¯", + "ãĥ¼ãĤ ¯", + "ĠÙĦ ÙĦÙħ", + "ĠÙĦÙĦ Ùħ", + "Ùģ تÙĩ", + "Ùģت Ùĩ", + ". :.", + ".: .", + "üç ük", + "ол ева", + "à¹Į Ċ", + "ĠпеÑĢ ев", + "ĠпеÑĢе в", + "ĠÙĨ سب", + "ĠÙĨس ب", + "е леннÑı", + "ел еннÑı", + "елен нÑı", + "' ın", + "'ı n", + "ν Ïī", + "è¡ £", + "Ġ دÙĬ", + "Ġد ÙĬ", + "åį ĩ", + "Ġbel irt", + "Ġbelir t", + "Ġ /:", + "Ġ/ :", + "èij ī", + "Ġv yh", + "Ġvy h", + "çļĦ ä¸Ģ", + "èĥ Į", + "Ġ ìĹ´", + "ĠìĹ ´", + "о ла", + "ол а", + "Ġ تب", + "Ġت ب", + "á ci", + "ác i", + "ा à¤ī", + "ाठī", + "ภİ", + "çĶ ¢", + "à¥Ī ल", + "Ġ ÙĤØ·", + "ĠÙĤ Ø·", + "ëĦ Ī", + "ắ m", + "ÑĢ Ñıд", + "ÑĢÑı д", + "Ġph ụ", + "ĠÙĪ اÙĤع", + "ĠÙĪا ÙĤع", + "Ġm erk", + "Ġme rk", + "Ġmer k", + "Ġch á»ijng", + "å¯ Ł", + "ا بط", + "اب Ø·", + "us unda", + "usu nda", + "Ġод на", + "ž el", + "že l", + "ĠÑģ Ñĥм", + "ĠÑģÑĥ м", + "Ġph ù", + "Ġ ζ", + "ĠÎ ¶", + "Ġz av", + "Ġza v", + "e dn", + "ed n", + "Ġp otÅĻeb", + "Ġpot ÅĻeb", + "ĠÚ©ÙĨ ÙĨد", + "ĠÑĢ азв", + "ĠÑĢаз в", + "ĠÑĢа зв", + "¿ ł", + "ĠاÙĦ ز", + "Ġm ÄĽl", + "ĠmÄĽ l", + "Ġ ÑģÑĤанов", + "ĠÑģÑĤ анов", + "ĠÑģÑĤан ов", + "ĠÑģÑĤа нов", + "Ġ درÛĮ", + "Ġد رÛĮ", + "Ġدر ÛĮ", + "Ġt ượng", + "ã ģµ", + "ãģ µ", + "Ġд ви", + "Ġдв и", + "ÑĮ Ñı", + "è £½", + "è£ ½", + "Ġ تÙĦ", + "Ġت ÙĦ", + "Å¡ Å¥", + "ãģª ãĤī", + "Ġà¤ķ à¤Ī", + "Å¡ i", + "âĢĮ است", + "Ġk ỹ", + "Ġká» ¹", + "ë§ Ŀ", + "Ġà¤Ĩ à¤ľ", + "ãĥ ´", + "Ġb á»ı", + "du ÄŁu", + "duÄŁ u", + "Ġ æ¯", + "Ġæ ¯", + "п еÑĢ", + "пе ÑĢ", + "ا ÙĦÙĬØ©", + "اÙĦ ÙĬØ©", + "اÙĦÙĬ Ø©", + "æīĢ 以", + "åħ °", + "Ġ oran", + "Ġo ran", + "Ġor an", + "Ġora n", + "Ġ íŀ", + "Ġí ŀ", + "Ïĥ ία", + "Ïĥί α", + "Ġph ủ", + "ĠбÑĭ ла", + "ĠбÑĭл а", + "Ñĩ ива", + "Ñĩи ва", + "Ñĩив а", + "Ġ ê°Ħ", + "Ġê° Ħ", + "о лÑĸ", + "ол Ñĸ", + "Ùĥ ت", + "å ħ§", + "åħ §", + "à¥Ĥ à¤Ł", + "Ġ ëĸ", + "Ġë ĸ", + "Ġ ÙĦÙĩ", + "ĠÙĦ Ùĩ", + "ëłĪ ìĿ´", + "Ġh ız", + "å¤ ı", + "ĠæĬķ稿 æĹ¥", + "éļ ¾", + "ĵ °", + "г лÑıд", + "глÑı д", + "гл Ñıд", + "ì n", + "Ġ меÑĢ", + "Ġм еÑĢ", + "Ġ ãĢij", + "ĠãĢ ij", + "Ġ обÑī", + "Ġоб Ñī", + "um hur", + "çł ´", + "л иÑģÑĮ", + "ли ÑģÑĮ", + "sp ÄĽ", + "ر ÙĬÙĤ", + "رÙĬ ÙĤ", + "Ġ تÙģ", + "Ġت Ùģ", + "Ġا ÙĦÙĪ", + "ĠاÙĦ ÙĪ", + "çµ ±", + "а лоÑģÑĮ", + "ал оÑģÑĮ", + "ало ÑģÑĮ", + "Ġm ô", + "Ġv á»ĩ", + "Ġvá» ĩ", + "Ġ δι", + "Ġδ ι", + "Ġ зн", + "Ġз н", + "Ġ بØŃ", + "Ġب ØŃ", + "ت Ùī", + "Ġ ì§ģ", + "Ġì§ ģ", + "Ġvel mi", + "uyá» ħn", + "Ġph ạm", + "ÑģÑĤв ом", + "ÑģÑĤво м", + "ĠÙĪ اÙĦÙħ", + "ĠÙĪاÙĦ Ùħ", + "ĠÙĪا ÙĦÙħ", + "ĠбÑĭ ли", + "ĠбÑĭл и", + "ا Ø°", + "Ø§Ø °", + "ÄĽ ÅĻ", + "â Ħĸ", + "âĦ ĸ", + "Ġп олож", + "Ġпо лож", + "Ġпол ож", + "า à¸ģาร", + "าà¸ģ าร", + "ĠÄį lán", + "Îķ Ρ", + "Ġ ìĤ°", + "ĠìĤ °", + "β α", + "Ġ æĹ¥æľ¬", + "ĠæĹ¥ æľ¬", + "ز د", + "ĠÙĨ ÛĮست", + "ĠÙĨÛĮ ست", + "Ġha yat", + "Ġhay at", + "Ġhaya t", + "ç¢ º", + "à¹Ģ วล", + "à¹Ģว ล", + "ĠCh ÃŃnh", + "ĠChÃŃ nh", + "ï¼Į æĺ¯", + "ĠÙĪ اØŃ", + "ĠÙĪا ØŃ", + "èı ¯", + "Ġή ÏĦαν", + "Ġx á»Ń", + "ĠÄį erv", + "ĠÄįer v", + "ĠÄįe rv", + "ĠÙħد ÛĮر", + "é Ĩ", + "ĠëĪ Ī", + "ç» Ń", + "Ġt ên", + "ìĸ ¸", + "Ġort aya", + "Ġorta ya", + "Ġ жен", + "Ġж ен", + "Ġже н", + "Ġn Æ¡i", + "ен нÑĭе", + "ÑĦ екÑĤив", + "ÑĦек ÑĤив", + "íĿ ¬", + "Ġkh á»ı", + "ĠÄij a", + "os yal", + "osy al", + "à¸Ľà¸£à¸° à¹Ģà¸Ĺศ", + "Ġo dst", + "Ġod st", + "Ġ à¸ĸ", + "Ġภĸ", + "Ġο ÏĢο", + "æĶ¿ åºľ", + "Ġb Ãłn", + "ĠbÃł n", + "ĠG iá»", + "ĠGi á»", + "Ġold uk", + "Ġol duk", + "Ġoldu k", + "о вание", + "ов ание", + "ова ние", + "овани е", + "ован ие", + "à¸Ń ส", + "Ġ нев", + "Ġн ев", + "Ġне в", + "ÏĦ Ïģο", + "ÏĦÏģ ο", + "Ġ ìĨį", + "ĠìĨ į", + "k ı", + "Ġब ड", + "Ġ ÏħÏĢ", + "ĠÏħ ÏĢ", + "Ġ Vý", + "ĠV ý", + "ï¾ Ħ", + "çŃ ĸ", + "ε ÏĨ", + "Ġ åħ¨", + "Ġåħ ¨", + "ĠÙģ رÙĪØ´", + "ĠÙģر ÙĪØ´", + "ĠÙģرÙĪ Ø´", + "ÙĤÛĮ ÙĤ", + "ä¼ģ ä¸ļ", + "ε Ïį", + "èĻ Ł", + "Ġa yr", + "Ġay r", + "ض ÙĪ", + "Å¡ el", + "Å¡e l", + "Ġп ÑĸÑģлÑı", + "ĠпÑĸÑģ лÑı", + "Ñĸй Ñģ", + "é¢ Ĩ", + "Ú© تر", + "کت ر", + "л Ñĥб", + "лÑĥ б", + "è« ĸ", + "æ° ¸", + "ез пеÑĩ", + "Ġ кам", + "Ġк ам", + "Ġка м", + "ع داد", + "عد اد", + "ê±° ëŀĺ", + "ู à¸ĩ", + "ĠتÙĩ راÙĨ", + "Ġ ëĦĪ", + "ĠëĦ Ī", + "ÑĢ ив", + "ÑĢи в", + "Ġ ÑĤоÑĢ", + "ĠÑĤ оÑĢ", + "ĠÑĤо ÑĢ", + "ا Ùī", + "ا٠ī", + "' Ñıз", + "'Ñı з", + "ÙIJ ÙĬ", + "Ġkh ÃŃ", + "Ġ ÑĪÑĤ", + "ĠÑĪ ÑĤ", + "Ġ ξε", + "ĠÎľ ε", + "Ġb iri", + "Ġbi ri", + "Ġbir i", + "è ĩ´", + "èĩ ´", + "Ñĥ вав", + "Ñĥв ав", + "Ñĥва в", + "ãģĪ ãĤĭ", + "Ġд иÑģ", + "Ġди Ñģ", + "а ÑİÑĤ", + "аÑİ ÑĤ", + "ص ب", + "åĿ ĩ", + "о лÑİ", + "ол Ñİ", + "èĭ ¥", + "Ġ اث", + "Ġا Ø«", + "ĠØ§Ø «", + "s ou", + "so u", + "åIJ ĥ", + "ãģ® ãģł", + "ub lik", + "ubl ik", + "л ей", + "ле й", + "Âł m", + "Ġíıī ê·ł", + "ạ y", + "ε ÏĢ", + "t ık", + "tı k", + "Ġv yu", + "Ġvy u", + "ع ÙĪد", + "Ġд оз", + "Ġдо з", + "Ġl á»ĭch", + "è³ ª", + "à¥ģ à¤Ī", + "à¥ģठĪ", + "ั à¸ŀ", + "Ġt ém", + "Ġté m", + "Ġ kaç", + "Ġk aç", + "Ġka ç", + "Ġc ái", + "Ġcá i", + "Ġ μα", + "Ġμ α", + "âĢ¦âĢ¦ ãĢįĊĊ", + "í Ī¬", + "ر ÙĪÙĩ", + "رÙĪ Ùĩ", + "Ġ rych", + "Ġr ych", + "Ġry ch", + "Îij Τ", + "Ġ ÑĢÑĸв", + "ĠÑĢ Ñĸв", + "ë³ ij", + "åģ ¥", + "Ġzd rav", + "Ġ عدد", + "Ġع دد", + "Ġعد د", + "èį ī", + "δ ια", + "δι α", + "Ġv áºŃn", + "Ñĭ ÑĤ", + "Ġкол иÑĩ", + "Ġко лиÑĩ", + "Ġколи Ñĩ", + "ÏĮ ÏĦε", + "Ġb ırak", + "Ġ ØŃÙħ", + "ĠØŃ Ùħ", + "Ġch á»ĭ", + "é» Ħ", + "ĠاÙĦÙħت ØŃدة", + "ื à¸Ńà¸ģ", + "ืà¸Ń à¸ģ", + "Ġз али", + "Ġза ли", + "Ġзал и", + "Ġnh anh", + "âĢĮ تÙĪاÙĨ", + "ëĿ ½", + "Ġت ÙĪسط", + "ĠتÙĪ سط", + "ĠتÙĪس Ø·", + "è¦ģ æ±Ĥ", + "а лÑĥ", + "ал Ñĥ", + "ün kü", + "ünk ü", + "ãģª ãĤĵ", + "Ġ Trong", + "ĠT rong", + "ĠTr ong", + "ĠTro ng", + "à¸Ļ ะ", + "åij ¼", + "Ġ ÙĬÙħ", + "ĠÙĬ Ùħ", + "и ки", + "ик и", + "ĠÑĤ ÑĥÑĤ", + "ĠÑĤÑĥ ÑĤ", + "Ġya ÅŁam", + "ĠyaÅŁ am", + "Ġm á»įi", + "é ĽĦ", + "éĽ Ħ", + "ĠØŃ Ø¶", + "Ġав ÑĤом", + "ĠавÑĤ ом", + "Ġसब स", + "Ġy ếu", + "ãĤ¹ ãĤ¿", + "Ïĩ ή", + "Ñĸ Ñİ", + "è ĺ", + "ิ ย", + "Ġm ev", + "Ġme v", + "ick ého", + "ické ho", + "ि ह", + "िठ¹", + "åŃ £", + "θ ή", + "Ġब ढ", + "ĠاÙĦ Ùħس", + "ĠاÙĦÙħ س", + "ÏĦ οÏħ", + "ÏĦο Ïħ", + "ek li", + "ekl i", + "Ġде ÑĢев", + "ĠдеÑĢ ев", + "å¸ Ń", + "æ² Ļ", + "ãģ« ãĤĤ", + "Ġo blast", + "Ġob last", + "Ġobl ast", + "Ġh á»Ļ", + "Ġhá» Ļ", + "Ġ å¹³", + "Ġå¹ ³", + ".:.:.:.: .:.:.:.:", + ".:.:.:. :.:.:.:.:", + "Ġ éĸ", + "Ġé ĸ", + "Ġ جز", + "Ġج ز", + "ĠÙĩÙħ ÚĨ", + "ä¸ ¦", + "ÑĨ еп", + "ÑĨе п", + "ा Ċ", + "ä¸Ń çļĦ", + "'n ın", + "Ġ íķĺëĬĶ", + "Ġíķĺ ëĬĶ", + "ÑĶ ÑĹ", + "Ġ بش", + "Ġب Ø´", + "åį ´", + "ä¹ ł", + "ĠاطÙĦ اعات", + "ĠاطÙĦاع ات", + "Ġ ë²ł", + "Ġë² ł", + "Ġکرد ÙĨ", + "Ġکر دÙĨ", + "ा ड", + "ाठ¡", + "Ġà¤ħ र", + "ĠH á»į", + "ĠHá» į", + "ĠгÑĢом ад", + "Ġ ست", + "ĠØ ³Øª", + "Ġس ت", + "ÏĦι ÏĤ", + "Ġan cak", + "Ġanc ak", + "Ġ ог", + "Ġо г", + "Ġk teÅĻÃŃ", + "Ġ æ¬", + "Ġæ ¬", + "Ġ Ngh", + "ĠN gh", + "ĠNg h", + "Ġt edy", + "Ġte dy", + "Ġted y", + "Ġ ÏĢο", + "ĠÏĢ ο", + "Ġqu ân", + "Ġб Ñĥли", + "ĠбÑĥ ли", + "è¯ Ĩ", + "Ġt ừng", + "Ġtá» «ng", + "Ġtừ ng", + "人 çļĦ", + "ี à¸ģาร", + "ีà¸ģ าร", + "Ġκα ÏĦα", + "Ġpo uze", + "Ġpou ze", + "¡ ng", + "ĠØ¢ ر", + "Ġ ÑĤÑĥ", + "ĠÑĤ Ñĥ", + "Ġt á»·", + "Ġtá» ·", + "ĠD anh", + "ĠDan h", + "ĠDa nh", + "о ном", + "он ом", + "Ñģ ий", + "Ñģи й", + "Ġ à¹Ģà¸Ķ", + "Ġà¹Ģ à¸Ķ", + "Ġà¹ĢภĶ", + "£ ¨", + "Å¡ k", + "ãĥĥ ãĥī", + "ar dır", + "ard ır", + "Ġyö net", + "Ġyön et", + "Ñĥ вали", + "Ñĥв али", + "Ñĥва ли", + "åħĪ çĶŁ", + "Ġ ÐIJÑĢ", + "ĠÐIJ ÑĢ", + "Ġprot ože", + "Ġproto že", + "Ġ íģ¬", + "Ġíģ ¬", + "Ġjed not", + "Ġjedn ot", + "Ġjedno t", + "Ġt ý", + "éĩ ĩ", + "Ġ หร", + "Ġห ร", + "Ġ åľ°", + "Ġåľ °", + "çº ¢", + "Ġм олод", + "Ġмол од", + "Ġмо лод", + "iên g", + "iê ng", + "ĠÏĮ ÏĦι", + "Ġد اشتÙĩ", + "Ġداش تÙĩ", + "Ġداشت Ùĩ", + "Ġuy gun", + "Ġuyg un", + "Ġuygu n", + "Ġоп еÑĢа", + "ĠопеÑĢ а", + "åı «", + "Ġ ап", + "Ġа п", + "Ġ кÑĥÑĢ", + "Ġк ÑĥÑĢ", + "ĠкÑĥ ÑĢ", + "ا عة", + "اع Ø©", + "un uz", + "unu z", + "Ġ ìĤ¬ì§Ħ", + "ĠìĤ¬ ì§Ħ", + "Ġv ô", + "ç ok", + "ço k", + "Ġ èģ", + "Ġè ģ", + "ÑĤе ÑĢеÑģ", + "ÑĤеÑĢ еÑģ", + "Ġ استاÙĨ", + "Ġا ستاÙĨ", + "Ġاست اÙĨ", + "Ġاس تاÙĨ", + "а лаÑģÑĮ", + "ала ÑģÑĮ", + "à¥ģ व", + "à¥ģठµ", + "á» ³", + "Ġl Æ°u", + "Ġ Та", + "ĠТ а", + "Ġl á»±a", + "' ÑĶ", + "Ġ üy", + "Ġü y", + "Ġ ÛĮÚ©ÛĮ", + "ĠÛĮ Ú©ÛĮ", + "ĠÛĮÚ© ÛĮ", + "æ ¾", + "н ем", + "не м", + "Ġ خاÙĨ", + "ĠØ® اÙĨ", + "ĠÑį лек", + "ÙĤ اÙĦ", + "л ок", + "ло к", + "ĠÄij ẹp", + "à¥ī ल", + "Ġm ůž", + "Ġmů ž", + "ëĭ¤ ëĬĶ", + "Ġ íķĺëĤĺ", + "Ġíķĺ ëĤĺ", + "ÙĦ ت", + "çİ° åľ¨", + "м о", + "Ïħ Ïĥ", + "ãģŁ ãģ¡", + "ĠìłĦ ìĦ¸", + "à¥į à¤Łà¤°", + "à¥įà¤Ł र", + "ع ات", + "عا ت", + "د ÙĪ", + "ä¿ º", + "æ¥ ½", + "æ£ ®", + "Ġл иÑģÑĤ", + "Ġли ÑģÑĤ", + "δ ι", + "å¯ Į", + "ĠÄij Æ°a", + "в еÑģÑĤи", + "ве ÑģÑĤи", + "веÑģÑĤ и", + "д о", + "ан нÑĸ", + "Ġü ret", + "Ġür et", + "Ġg á»įi", + "ĠÑģ воÑİ", + "ĠÑģв оÑİ", + "ĠÑģво Ñİ", + "á» «ng", + "ừ ng", + "Ġt ất", + "äºļ æ´²", + "á ce", + "ác e", + "N Ãį", + "Ġ ÑĢÑĭ", + "ĠÑĢ Ñĭ", + "æ» ¡", + "Ïģ εÏĤ", + "Ïģε ÏĤ", + "åħį è´¹", + "л оÑĤ", + "ло ÑĤ", + "æĻ º", + "Ġα γ", + "Ġà¤ħ म", + "Ġ ç´", + "Ġç ´", + "о до", + "од о", + "Ñħ и", + "Ġngu á»ĵn", + "éĥ¨ åĪĨ", + "в аÑĤ", + "ва ÑĤ", + "ĠÑĤ еб", + "ĠÑĤе б", + "з аÑĨÑĸÑĹ", + "за ÑĨÑĸÑĹ", + "Ġ ÐŁÑĢо", + "ĠÐŁ ÑĢо", + "ĠÐŁÑĢ о", + "ع ÛĮ", + "Ġ ÙĪÙĬ", + "ĠÙĪ ÙĬ", + "ëŀ ľ", + "Ġne by", + "Ġneb y", + "Ġج دÛĮد", + "Ġجد ÛĮد", + "ÄŁ imiz", + "ÄŁim iz", + "£ ½", + "Ġà¤Ĩ त", + "Ġà¤Ń र", + "æī ĺ", + "å®ī åħ¨", + "Ġëĵ¤ ìĸ´", + "ب رد", + "بر د", + "Ġê²ĥ ìĿ´", + "äº ²", + "æ° ı", + "ал Ñĸз", + "алÑĸ з", + "l ack", + "la ck", + "lac k", + "ĠÙħخت ÙĦÙģ", + "ا ÙĨÙĬØ©", + "اÙĨ ÙĬØ©", + "اÙĨÙĬ Ø©", + "Ġ ì²Ń", + "Ġì² Ń", + "Ġ виÑĤ", + "Ġв иÑĤ", + "Ġви ÑĤ", + "Ġhar eket", + "Ġhare ket", + "Ġharek et", + "é ¨", + "à¸Ļ ำ", + "Ġب رخ", + "Ġبر Ø®", + "å£ ²", + "Ñĩ ай", + "Ñĩа й", + "Ġan lat", + "Ġà¤ħ व", + "ĠاÙģ ز", + "Ġh ết", + "ĠÚĨ ÙĨد", + "éĹ ľ", + "пÑĢи ÑĶм", + "g ı", + "Ġk omp", + "Ġkom p", + "Ġko mp", + "Ġl Ỽp", + "ĠlỼ p", + "Ġm á»Ĺi", + "Ġmá» Ĺi", + "à¸Ľà¸£à¸° à¸ģ", + "Ġ haf", + "Ġh af", + "Ġha f", + "Ġ eder", + "Ġe der", + "Ġed er", + "Ġзд оÑĢов", + "à¥Ĥ म", + "ëł ¸", + "Ġo nun", + "Ġon un", + "Ġonu n", + "ĠÙħر دÙħ", + "ĠÙħرد Ùħ", + "ĠÐľ аÑĢ", + "ĠÐľÐ° ÑĢ", + "Ġìĸ´ ëĸ", + "м ан", + "ма н", + "Ġ ÑģилÑĮ", + "ĠÑģ илÑĮ", + "ĠÑģи лÑĮ", + "ĠÑģил ÑĮ", + "ç¶ ²", + "ë¸ Ķ", + "л ÑıеÑĤ", + "лÑı еÑĤ", + "ĠнеÑģк олÑĮко", + "ĠнеÑģколÑĮ ко", + "l andır", + "land ır", + "lan dır", + "landı r", + "Ġв д", + "ĠÙĨ ÙĪ", + "ãģ İ", + "ÑĤ ин", + "ÑĤи н", + "ت Ø´", + "а ний", + "ан ий", + "ани й", + "Ġt ÅĻ", + "Ñģ иÑħ", + "Ñģи Ñħ", + "л ом", + "ло м", + "æŃ ©", + "ãİ ¡", + "Ġ ØŃر", + "ĠØŃ Ø±", + "æĭ į", + "e nou", + "en ou", + "eno u", + "Ġв ели", + "Ġвел и", + "Ġве ли", + "Ġ δη", + "Ġδ η", + "s ka", + "sk a", + "主 è¦ģ", + "ا ÙģØ©", + "اÙģ Ø©", + "ĠболÑĮ ÑĪе", + "ĠболÑĮÑĪ е", + "ิ ศ", + "çĽ Ĭ", + "ĠÙģ ÙĤØ·", + "ĠÙģÙĤ Ø·", + "å¨ ģ", + "Ġh Æ°á»Łng", + "ĠD oÄŁ", + "ĠDo ÄŁ", + "Ġd Ãłi", + "Ġ гоÑĤов", + "Ġг оÑĤов", + "ĠгоÑĤ ов", + "Ġв ам", + "Ġва м", + "âĢ ī", + "ा à¤ļ", + "ाठļ", + "åħ ¸", + "à¹ĥ หà¸į", + "à¹ĥห à¸į", + "Ġ ç«", + "Ġç «", + "ekt ör", + "Ġв ел", + "Ġве л", + "Ġ ÙĦÙĪ", + "ĠÙĦ ÙĪ", + "Ø´ تÙĩ", + "شت Ùĩ", + "æĺ ¾", + "ả y", + "à¹Ĥ ม", + "Ġt á»ķng", + "Ġtá»ķ ng", + "Ġtá»ķn g", + "ĠповеÑĢ Ñħ", + "ÑĹ Ð²", + "Ġph ép", + "çļ ĩ", + "Ġп оÑĢÑıд", + "Ġпо ÑĢÑıд", + "ĠпоÑĢ Ñıд", + "ĠÑģооÑĤ веÑĤ", + "ठĿ", + "ĠÑģеб Ñı", + "Ġ ëĤł", + "ĠëĤ ł", + "Ġб Ñĥла", + "ĠбÑĥ ла", + "à¹ī าย", + "à¹īา ย", + "Ġ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢ", + "ĠÙħ جÙħÙĪع", + "ï¼Į 以", + "Ġب ÙĪدÙĩ", + "ĠبÙĪد Ùĩ", + "ĠبÙĪ دÙĩ", + "μ ÏĮ", + "Ġ íݸ", + "Ġíİ ¸", + "eÅŁ it", + "Ñİ Ñīие", + "ÑİÑī ие", + "Ñİ ÑīиÑħ", + "ÑİÑī иÑħ", + "åŁº éĩij", + "Ġت ØŃت", + "ĠتØŃ Øª", + "Ġв лаÑģ", + "Ġвла Ñģ", + "ler le", + "ãĤ ²", + "ëĬ ĺ", + "è ĵ", + "m anın", + "man ın", + "manı n", + "ìŀ Ī", + "Ġz ast", + "Ġza st", + "Ġzas t", + "ĠÑĩелов ек", + "à¥ĩ ब", + "à¥ĩठ¬", + "p eÄį", + "pe Äį", + "Ġبر ÙĨاÙħÙĩ", + "Ġs lov", + "Ġsl ov", + "Ġslo v", + "ĠnÄĽ jak", + "ĠnÄĽj ak", + "ê· ľ", + "à¥ĩ ह", + "à¥ĩठ¹", + "èĹ ¤", + "ĠبÛĮ شتر", + "ĠبÛĮØ´ تر", + "il iz", + "ili z", + "Ġ ëĶĶ", + "Ġë ĶĶ", + "ĠëĶ Ķ", + "ا زÙĩ", + "از Ùĩ", + "ت د", + "Ġe tm", + "Ġet m", + "Ġëĭ¤ 른", + "Ġ vů", + "Ġv ů", + "å° Ħ", + "Ġк лаÑģ", + "Ġкл аÑģ", + "Ġкла Ñģ", + "в ÑĢоп", + "æ´ ¾", + "ĠÄij ình", + "Ñĥ ÑİÑĤ", + "ÑĥÑİ ÑĤ", + "Ñĥ еÑĤÑģÑı", + "ÑĥеÑĤ ÑģÑı", + "éľ ²", + "Ġ ÑģкоÑĢ", + "ĠÑģ коÑĢ", + "ĠÑģк оÑĢ", + "Ġв аÑģ", + "Ġва Ñģ", + "íķĺ ìĺĢëĭ¤", + "íķĺìĺĢ ëĭ¤", + "Ġ داشت", + "Ġد اشت", + "Ġداش ت", + "Ġ çĦ", + "Ġç Ħ", + "Ġ 西", + "Ġè ¥¿", + "Ġκα ÏĦά", + "ॠ¦", + "ìĹ Ĩ", + "Ġ خدÙħ", + "ĠØ® دÙħ", + "Ġخد Ùħ", + "ا سÙħ", + "اس Ùħ", + "Îij Ρ", + "ĠA ma", + "ĠAm a", + "å¥ ¥", + "Ġبزر Ú¯", + "Ġ ÐĴÑĸн", + "ĠÐĴ Ñĸн", + "Ġ Åĺ", + "ĠÅ ĺ", + "Ġ à¸Īาà¸ģ", + "Ġà¸Ī าà¸ģ", + "ĠÑħаÑĢакÑĤ еÑĢ", + "ĠÄij á»Ļi", + "ĠÄijá»Ļ i", + "ĠÑĢоз виÑĤ", + "ĠÑĢозви ÑĤ", + "ĠпÑĢоÑĦ еÑģ", + "Ġкон ÑĤÑĢ", + "ĠконÑĤ ÑĢ", + "ÎŁ ÎĽ", + "ÎŁÎ Ľ", + "Ġm inh", + "Ġmin h", + "Ġmi nh", + "ä¼ ij", + "ì ª½", + "Ġch Æ¡i", + "з аÑĨии", + "за ÑĨии", + "ĠдÑĸÑı лÑĮ", + "ë Ĩ", + "Ġn gay", + "Ġng ay", + "Ġnga y", + "à¥Ĥ à¤Ĥ", + "Ġiht iy", + "éĽ ª", + "Ġ ê´Ģ리ìŀIJ", + "Ġê´Ģ리 ìŀIJ", + "Ġc ụ", + "Ġ ì§Ī", + "Ġì§ Ī", + "ÙĬ Ø«", + "ặ p", + "ÙĪ اع", + "ÙĪا ع", + "ãģĤ ãģ£ãģŁ", + "Ġ çľ", + "Ġç ľ", + "Ġ ìļ°ë¦¬", + "Ġìļ° 리", + "à¹Ī à¸ĩà¸Ĥ", + "à¹Īà¸ĩ à¸Ĥ", + "Ġ çŃ", + "Ġç Ń", + ") ØĮ", + "Ãł m", + "ÙĦ ÛĮÙĦ", + "ÙĦÛĮ ÙĦ", + "Ġ 걸", + "Ġê± ¸", + "алÑĮ ниÑħ", + "æŶ åĢĻ", + "un dan", + "und an", + "unda n", + "Ġ Gün", + "ĠG ün", + "ĠGü n", + "Ġ topl", + "Ġt opl", + "Ġto pl", + "Ġtop l", + "ĠÑĢек омен", + "ĠاÙĨت خاب", + "Ãł u", + "Äį ka", + "ë° Ģ", + "Ġк ÑĢаÑģ", + "ĠкÑĢа Ñģ", + "л оп", + "ло п", + "å¼ µ", + "ĠاÙĦ Ùħع", + "ĠاÙĦÙħ ع", + "m ÃŃn", + "mÃŃ n", + "Ġv iết", + "Ġvi ết", + "Ġ ê°ĻìĿĢ", + "Ġê°Ļ ìĿĢ", + "ut eÄį", + "ute Äį", + "Ġ nech", + "Ġn ech", + "Ġne ch", + "Ġnec h", + "çµ Ĥ", + "ãģª ãģĮ", + "ay ın", + "ayı n", + "Ġ Äįin", + "ĠÄį in", + "ĠÄįi n", + "ch ázÃŃ", + "cház ÃŃ", + "اÙģ ظ", + "ÑĢ оваÑĤÑĮ", + "ÑĢов аÑĤÑĮ", + "ÑĢо ваÑĤÑĮ", + "ÑĢова ÑĤÑĮ", + "à¹Ħ ร", + "Ġ ãĤ¤", + "ĠãĤ ¤", + "Ġзаб олева", + "Ġ å±±", + "Ġå± ±", + "Ġka dın", + "Ġkad ın", + "ÏĦ ηÏĤ", + "ÏĦη ÏĤ", + "а лиÑģÑĮ", + "ал иÑģÑĮ", + "али ÑģÑĮ", + "Ġh ük", + "åĵ ¥", + "Ġп еÑĢи", + "ĠпеÑĢ и", + "ÅĻ ád", + "Ġà¤ħ स", + "Ġ ÑģÑĤвоÑĢ", + "ĠÑģÑĤ воÑĢ", + "ĠÙĪ ÛĮÚ©ÛĮ", + "ĠÙĪÛĮ Ú©ÛĮ", + "Ġ ì¡", + "Ġì ¡", + "Ġc á»Ńa", + "Ġcá»Ń a", + "Ġh iá»ĥu", + "游 æĪı", + "ÑĮ омÑĥ", + "Ġg ó", + "Ġt oh", + "Ġto h", + "Ġб ла", + "Ġбл а", + "Ġ åij", + "Ġå ij", + "Ġп ло", + "Ġпл о", + "и ÑĪ", + "ĠÄij ấu", + "s kou", + "sk ou", + "sko u", + "ãĤĪ ãĤĬ", + "ู à¸Ľ", + "Ġr á»ĵi", + "оп ÑĢоÑģ", + "н олог", + "ĠÑĤ ÑĢав", + "ĠÑĤÑĢ ав", + "ĠÑĤÑĢа в", + "ĠWay back", + "Ġ à¹Ĩ", + "ĠÑĥ ÑĩаÑģÑĤ", + "ĠÑĥÑĩ аÑģÑĤ", + "ĠÑĥÑĩа ÑģÑĤ", + "ĠÑĥÑĩаÑģ ÑĤ", + "ĠпÑĢеп аÑĢа", + "Ġd ạng", + "ĠÃľ n", + "à¹Ħล à¸Ļ", + "Ġد اخ", + "Ġs Æ¡", + "Ġk oy", + "Ġko y", + "ëĿ¼ ê³ł", + "ĠÄij úng", + "à¥ĩà¤Ĥ ,", + "Ġgeç ir", + "ĠÑıк Ñīо", + "Ñģ ÑĤÑĢо", + "ÑģÑĤ ÑĢо", + "ÑģÑĤÑĢ о", + "ен ÑĤов", + "енÑĤ ов", + "Ñĸ ж", + "к ÑĥÑİ", + "кÑĥ Ñİ", + "Ġe ÄŁitim", + "ĠeÄŁit im", + "à¥įर स", + "Ġ Сп", + "ĠС п", + "ا تÛĮ", + "ات ÛĮ", + "ãģij ãĤĭ", + "ÏĦ Ïīν", + "ÏĦÏī ν", + "Ġ км", + "Ġк м", + "âĸįâĸį âĸįâĸį", + "j ist", + "ji st", + "jis t", + "ÑĤ ак", + "ÑĤа к", + "Ġ åIJįåīį", + "ĠåIJį åīį", + "é¡ Ķ", + "л Ñĭ", + "Ġkh ảo", + "Ġkhả o", + "âĢĻ Ñı", + "ĠÙħ ÙĦÛĮ", + "ĠÙħÙĦ ÛĮ", + "l ož", + "lo ž", + "Ġ ìĸ¸", + "Ġìĸ ¸", + "Ġg ần", + "Ġ à¤ľà¤°", + "Ġà¤ľ र", + "ब र", + "Îķ Σ", + "า à¸Ľ", + "าภĽ", + "Ġn ás", + "Ġná s", + "form ace", + "forma ce", + "Ġet mek", + "Ġetm ek", + "Ġetme k", + "в еÑģÑĤ", + "ве ÑģÑĤ", + "ìĸ´ ìļĶ", + "Ġत थ", + "ĠÑģ ек", + "ξ η", + "æ¯ Ľ", + "B ir", + "Bi r", + "Ġ ìŀĦ", + "Ġìŀ Ħ", + "Ġv ardır", + "Ġvar dır", + "Ġvardı r", + "ÙĪ اÙĦ", + "ÙĪا ÙĦ", + "Ä° R", + "ov ané", + "ova né", + "ovan é", + "н аÑĢод", + "на ÑĢод", + "наÑĢ од", + "à¸Ħ ำ", + "e mek", + "em ek", + "eme k", + "ĠÎķ ÏĢ", + "Ġ ÅĻe", + "ĠÅĻ e", + "ãģ¾ ãģĽ", + "uyá»ĩ t", + "Ġ ìĸ¼", + "Ġìĸ ¼", + "r ů", + "Ġ onu", + "Ġo nu", + "Ġon u", + "à¹Ģà¸ķ à¸Ńร", + "од аÑĢ", + "ода ÑĢ", + "ز Ùĩ", + "Ġk av", + "Ġka v", + "о нÑĭ", + "он Ñĭ", + "Ġв еÑģ", + "Ġве Ñģ", + "ìĤ¬ ì§Ģ", + "Ġг ла", + "à Ŀ", + "ĠÙĤ ÛĮÙħت", + "çķ ¥", + "à¸ĸ าà¸Ļ", + "Äį il", + "Äįi l", + "Ġ ä¸ĩ", + "Ġä¸ ĩ", + "è¾ ĥ", + "åħ ħ", + "Ġ ÑĢед", + "ĠÑĢ ед", + "ĠÑĢе д", + "ม ห", + "am ilia", + "ami lia", + "amil ia", + "à¥ĩ à¤ķर", + "à¥ĩà¤ķ र", + "Ġt á»iji", + "Ġtá»ij i", + "Ùģ ÛĮ", + "ÑĢ ÑĸÑĪ", + "ÑĢÑĸ ÑĪ", + "ìķ ł", + "à¸Ļ ส", + "à¸Ī ร", + "à¥ĩ शन", + "à¥ĩश न", + "ĠÙħÙĪ ضÙĪع", + "æī ¹", + "Ġob sah", + "Ġobs ah", + "Ġнав Ñĩ", + "Ġdes tek", + "Ġdest ek", + "Ġdeste k", + "Ġ zas", + "Ġz as", + "Ġza s", + "å ĵį", + "åĵ į", + "üm üz", + "ümü z", + "Ġ çŁ", + "Ġç Ł", + "Ġ è¨", + "Ġè ¨", + "Ù ¬", + "ç» Ī", + "Ġz de", + "Ġzd e", + "Ġz áp", + "Ġzá p", + "à¥Ĥ सर", + "à¥Ĥस र", + "ìĿ´ ì§Ģ", + "çļ ®", + "l om", + "lo m", + "ॠ§", + "ÙĦ اÙĤ", + "ÙĦا ÙĤ", + "à¸Ļ à¸ķ", + "íĮ ħ", + "л ада", + "ла да", + "лад а", + "m asına", + "mas ına", + "ması na", + "ãģ® ãģ§", + "ëĵ¤ ìĿĦ", + "Ġн аг", + "Ġна г", + "m asını", + "mas ını", + "ãĤ Ŀ", + "ın ıf", + "ını f", + "åĽ ´", + "Ġböl üm", + "å¥ ĸ", + "æ¨ Ļ", + "ÙĦ اØŃ", + "ÙĦا ØŃ", + "Ġг оÑģÑĥдаÑĢ", + "داÙĨ ÙĦÙĪد", + "Ġп оÑĤÑĢеб", + "ĠпоÑĤ ÑĢеб", + "ĠÑĢ оÑĨÑĸ", + "о га", + "ог а", + "ĠÑģлед ÑĥеÑĤ", + "Ġп аÑĢа", + "ĠпаÑĢ а", + "Ġпа ÑĢа", + "é ¼", + "ãģį ãģŁ", + "ί ζ", + "Ġb á»ij", + "ÑĤ Ñĸв", + "ÑĤÑĸ в", + "ï¼Į 她", + "f amilia", + "éł ħ", + "Ġد ÙĦ", + "Ġs kup", + "Ġsk up", + "Ġsku p", + "еÑĩ ение", + "ãģĵãģ¨ ãģĮ", + "à¥Ģ ब", + "ุ ล", + "¨ ë¶Ģ", + "ĠاÙĦع رب", + "Ġ ç¾İ", + "Ġç¾ İ", + "ĠاÙĦ ÙħÙĪ", + "ĠاÙĦÙħ ÙĪ", + "Ġ Ø¥ÙĨ", + "ĠØ¥ ÙĨ", + "Ġná sled", + "Ġnás led", + "Ġt omu", + "Ġto mu", + "Ġtom u", + "Î Ħ", + "Ġз ави", + "Ġза ви", + "Ġзав и", + "Ġn hu", + "Ġnh u", + "ĠpÅĻed stav", + "ìłķ ë³´", + "o kol", + "ok ol", + "oko l", + "Ġк ÑĢи", + "a du", + "ad u", + "Ġ каÑĤ", + "Ġк аÑĤ", + "Ġка ÑĤ", + "Ġ ÑįÑĦ", + "ĠÑį ÑĦ", + "в ал", + "ва л", + "m ayı", + "ma yı", + "may ı", + "ĠÑĩаÑģ ÑĤо", + "ĠÑĩаÑģÑĤ о", + "Ġtr anh", + "Ġtra nh", + "Ġtran h", + "ائ ÙĦ", + "ãĤĪãģĨ ãģª", + "Ġp oh", + "Ġpo h", + "ìĥģ ìľĦ", + "Ġs ắc", + "Ùĥ س", + "Ġ мÑĥ", + "Ġм Ñĥ", + ". ::", + ".: :", + "ë Ī", + "» Ċ", + "Ġ ÙĨÚ¯", + "ĠÙĨ Ú¯", + "ÙIJ ÙĨ", + "н иком", + "ни ком", + "ник ом", + "Ñħ а", + "Ġ μοÏħ", + "Ġμ οÏħ", + "Ġμο Ïħ", + "ĠNg uyá»ħn", + "ĠвÑĭ Ñģок", + "ĠвÑĭÑģ ок", + "Ġ ÐŁÐ¾Ð´", + "ĠÐŁ од", + "ĠÐŁÐ¾ д", + "ĠпÑĢи ÑĢод", + "à¥ĭ ध", + "िà¤ķ ल", + "и ÑĢа", + "иÑĢ а", + "ëĭ¤ ê³ł", + "Ġm ajÃŃ", + "Ġma jÃŃ", + "Ġmaj ÃŃ", + "Ġv ùng", + "Ġtarih inde", + "Ġtarihi nde", + "Ġ ваÑĢ", + "Ġв аÑĢ", + "Ġва ÑĢ", + "н иÑĤÑĮ", + "ни ÑĤÑĮ", + "ниÑĤ ÑĮ", + "ει ÏĤ", + "Ġ åĩº", + "Ġåĩ º", + "dy ž", + "ÏĦ Ïİν", + "ÏĦÏİ Î½", + "ä½ĵ èĤ²", + "Ġ à¹Ģว", + "Ġà¹Ģ ว", + "Ġà¹Ģภ§", + "Ġà¤ħ à¤ļ", + "Ġ اÙĨÚ¯ÙĦÛĮسÛĮ", + "ĠاÙĨÚ¯ ÙĦÛĮسÛĮ", + "à¥įय म", + "Ġgel iÅŁ", + "æ¹ ĸ", + "Ġ اک", + "Ġا Ú©", + "Ġп лан", + "Ġпл ан", + "Ġпла н", + "k yt", + "ky t", + "ا بÛĮ", + "اب ÛĮ", + "κ ι", + "Ġc hung", + "Ġch ung", + "Ġchu ng", + "ान à¤ķ", + "s ı", + "Ġt inh", + "Ġti nh", + "Ġtin h", + "ĠÑģÑĤ ол", + "ĠÑģÑĤо л", + "ÑģÑĤ ÑĢÑĥ", + "ÑģÑĤÑĢ Ñĥ", + "Ġли ÑĪе", + "ĠлиÑĪ е", + "Ġви ÑĢоб", + "il miÅŁ", + "ilm iÅŁ", + "Ġ зÑĸ", + "Ġз Ñĸ", + "ç» Ĩ", + "åĢ Ĵ", + "ãĤ· ãĥ£", + "åŃ ©", + "Ġ à¹Ĥรà¸ĩà¹Ģร", + "Ġà¹Ĥ รà¸ĩà¹Ģร", + "Ġà¹Ĥรà¸ĩ à¹Ģร", + "íĻ ľ", + "ĠбÑĥд е", + "ĠбÑĥ де", + "Ġyak laÅŁ", + "èĩª åĪĨ", + "Ġ ÙģÙĪ", + "ĠÙģ ÙĪ", + "С Т", + "Ġso run", + "Ġsor un", + "Ġsoru n", + "à¹Ģ à¸ł", + "à¹Ģภł", + "Ġc ô", + "в иÑĩ", + "ви Ñĩ", + "ëĵ¤ ìĿĺ", + "Ġtr iá»ĩu", + "Ġtri á»ĩu", + "Ġr õ", + "Ġ ãģ«", + "ÄŁ im", + "ÄŁi m", + "iyor uz", + "è ľ", + "à¥įर व", + "Ġس Ù¾", + "Ġ ìĦľìļ¸", + "ĠìĦľ ìļ¸", + "δ ε", + "еÑĢ ÑĪ", + "Ġ أس", + "ĠØ£ س", + "äº ŀ", + "è¯ į", + "п ÑĤом", + "ฤ ษ", + "Ġساز ÙħاÙĨ", + "Ġlu ôn", + "Ùĩ ÙĪر", + "c ü", + "аÑĤ кÑĥ", + "Ġo labilir", + "Ġol abilir", + "Ġolab ilir", + "Ġola bilir", + "Ġ ìĹ°êµ¬", + "ĠìĹ° 구", + "ен ной", + "енно й", + "Ġ æĪij", + "ĠæĪ ij", + "Ġ него", + "Ġн его", + "Ġне го", + "Ġнег о", + "Ġ. **************", + "ิ à¸ĺ", + "Ġ ãĤ·", + "ĠãĤ ·", + "ت Ùģ", + "ÐŁ ÑĢо", + "ÐŁÑĢ о", + "Ġhakk ında", + "Ġhakkı nda", + "Äį nÄĽ", + "ĠM ỹ", + "é ½", + "ĠÏĥ ÏĦον", + "ĠÏĥÏĦο ν", + "Ġ âm", + "Ġâ m", + "§ ظ", + "ĠÅŁ irket", + "æĥħ åĨµ", + "ĠØ¢ÙħÙĪز Ø´", + "λ εÏħ", + "λε Ïħ", + "Ùħ Ùĩ", + "è¦ ı", + "ãģ¨ æĢĿ", + "Ġ ÙĪع", + "ĠÙĪ ع", + "ÏĪ η", + "Ïģ οÏį", + "Ïģο Ïį", + "Ġ ÂłĊ", + "ĠÂł Ċ", + "δ η", + "ÑĪ ов", + "åĪ ¤", + "Ġm ắt", + "æĭ ¿", + "à¸Ļ à¸Ķ", + "éĻ Ħ", + "à¹ī ม", + "ĠÄij ạt", + "Ġg üzel", + "Ġgü zel", + "m Ã¼ÅŁ", + "Ðŀ ÐĴ", + "çĭ ¬", + "리 를", + "Ġп лаÑĤ", + "Ġпл аÑĤ", + "Ġпла ÑĤ", + "Ġngh á»ĭ", + "ĠÑĤак иÑħ", + "ĠÑĤа киÑħ", + "б иÑĢа", + "би ÑĢа", + "Ġн ек", + "Ġне к", + "ÑģÑĮ кÑĸ", + "ÑģÑĮк Ñĸ", + "رÙĬ اض", + "o nu", + "on u", + "à¥ĭ म", + "ĠGi Ỽi", + "ĠGiá» Ľi", + "èŀ į", + "é ²", + "ĠGe nel", + "ĠGen el", + "ĠGene l", + "åĬ ¿", + "Ġ вÑĸ", + "Ġв Ñĸ", + "å§ IJ", + "è© ¦", + "ĠжиÑĤ ÑĤÑı", + "Ġ ìĺ¨", + "Ġìĺ ¨", + "åĩº æĿ¥", + "Ġt á»ij", + "Ġtá» ij", + "Ġl ao", + "Ġla o", + "ί ο", + "ĠÎł α", + "н иÑĤелÑĮ", + "ниÑĤ елÑĮ", + "ниÑĤе лÑĮ", + "éļ İ", + "Ġви кон", + "Ġвик он", + "Ġвико н", + "ĠÙģ عاÙĦ", + "ĠÙģع اÙĦ", + "à¹Ģ ศ", + "à¹Ģภ¨", + "ÏĮ γ", + "ĠоÑĢгани з", + "ĠоÑĢган из", + "Ġ емÑĥ", + "Ġе мÑĥ", + "Ġем Ñĥ", + "Ġ ÙĬع", + "ĠÙĬ ع", + "ĠÙħ ب", + "ाल य", + "ĠÎľ ÏĢ", + "é ¸", + "ù a", + "ê¸ ¸", + "Ġ ÄIJiá»ģu", + "ĠÄIJ iá»ģu", + "ε ίο", + "εί ο", + "äº ī", + "ượ t", + "ÑĢа зÑĥ", + "ÑĢаз Ñĥ", + "ĠоÑĤ ÑĢим", + "ĠоÑĤÑĢи м", + "Ġ طب", + "ĠØ· ب", + "Ġ 以", + "æĸ Ĺ", + "ë° ±", + "à¤ĩ स", + "ë§Į ìĽIJ", + "ãĢģ ãģĿãģ®", + "ĠëķĮ 문", + "ĠØ¢ ÛĮ", + "С Ðł", + "ض ÙĦ", + "æ ĵį", + "æĵ į", + "k azy", + "ka zy", + "kaz y", + "ส ว", + "â ng", + "ân g", + "à¤Ĥ à¤Ń", + "н ÑĸÑĩ", + "нÑĸ Ñĩ", + "ั à¸ĩà¸ģ", + "ัà¸ĩ à¸ģ", + "Ġبر رسÛĮ", + "ر دÙĩ", + "رد Ùĩ", + "Ġm ẫu", + "à¹Ī วà¸ĩ", + "à¹Īว à¸ĩ", + "ĠداÙĨØ´ گاÙĩ", + "d ıģ", + "dı ÄŁ", + "ĠT á»ķng", + "ĠTá»ķ ng", + "第 äºĮ", + "c ÃŃm", + "cÃŃ m", + "Ġb öyle", + "Ġbö yle", + "ë ¶Ī", + "ë¶ Ī", + "ĠÙħÙĨ ابع", + "à¥ĥ ष", + "е ÑĤÑĭ", + "еÑĤ Ñĭ", + "åĨ ·", + "åĽ Ń", + "Ġت ÙĪجÙĩ", + "ĠتÙĪ جÙĩ", + "åĪ »", + "æŀ ģ", + "à¤Ł न", + "л ан", + "ла н", + "Ġ íĥĢ", + "Ġíĥ Ģ", + "ä½ IJ", + "Ġ обÑĭ", + "Ġо бÑĭ", + "Ġоб Ñĭ", + "å¸ Ŀ", + "ì» ¤", + "å® Ī", + "èµ· æĿ¥", + "Ġ ãĥ¬", + "Ġãĥ ¬", + "çİ ī", + "à¹Ģ หล", + "à¹Ģห ล", + "и не", + "ин е", + "ห าร", + "หา ร", + "éļ ı", + "Ġг аз", + "ĠاÙĦ عÙħÙĦ", + "ĠاÙĦع ÙħÙĦ", + "ĠاÙĦعÙħ ÙĦ", + "à¥ģ à¤Ŀ", + "à¥ģठĿ", + "Ïģ ιο", + "Ïģι ο", + "Ġv ám", + "Ġvá m", + "Ġع ÙĨد", + "ĠعÙĨ د", + "ÙĨد گاÙĨ", + "ï¼Į éĤ£", + "Ġна Ñħод", + "á no", + "án o", + "ÛĮ اÙĨ", + "ÛĮا ÙĨ", + "ĠØ£ ع", + "Ġ ÑĢади", + "ĠÑĢ ади", + "ĠÑĢа ди", + "ĠÑĢад и", + "Ġм ене", + "Ġмен е", + "Ġú da", + "Ïĩ ν", + "ÑĥлÑı ÑĢ", + "à¥Ģ प", + "Ġpou žÃŃ", + "Ġ ä¸", + "ĠÙĤ اÙĨÙĪÙĨ", + "ι κοÏį", + "ικ οÏį", + "ικο Ïį", + "á y", + "Ġç öz", + "ÏĦ Ïģ", + "ÙĨ اÙħ", + "ÙĨا Ùħ", + "ุ à¸ķ", + "åĵ ª", + "ÙĬ ب", + "ä¹ °", + "ÐĶ лÑı", + "Ġ ëłĪ벨", + "ĠëłĪ 벨", + "ุ à¸ļ", + "н ÑĥÑĤи", + "нÑĥ ÑĤи", + "нÑĥÑĤ и", + "è½ »", + "ĠÎľ α", + "Ġ è¦", + "Ġè ¦", + "аÑĤ ков", + "Ġ ëĪĦ", + "ĠëĪ Ħ", + "Ġt uyá»ĥn", + "Ġtuy á»ĥn", + "Ùİ Ùħ", + "ĠвÑĭ пол", + "ĠвÑĭп ол", + "Ġst udi", + "Ġstud i", + "Ġstu di", + "ĠpÅĻ ek", + "ĠpÅĻe k", + "Ġз ам", + "Ġза м", + "Ġmat eri", + "Ġma teri", + "Ġmate ri", + "Ġmater i", + "åİ ĭ", + "Ġ ал", + "Ġа л", + "Ġ à¸ļร", + "Ġà¸ļ ร", + "Ø· ØŃ", + "ĠÙħر Ú©", + "Ġ ìĭ¬", + "Ġìĭ ¬", + "ĠÙĤ ابÙĦ", + "ĠÙĤاب ÙĦ", + "ĠÐIJ ле", + "ĠÐIJл е", + "ın tı", + "Ġ å»", + "Ġå »", + "Ä° K", + "ëħĦ ëıĦ", + "Ñĭ ваÑĤÑĮ", + "Ñĭв аÑĤÑĮ", + "Ñĭва ÑĤÑĮ", + "Ġdev let", + "社 ä¼ļ", + "ëĤ ł", + "Ġko lay", + "Ġkol ay", + "Ġkola y", + "ĠÑĢазв иÑĤи", + "ĠÑĢазви ÑĤи", + "а ди", + "ад и", + "ئ ÙĬس", + "a dıģı", + "ad ıģı", + "adı ģı", + "adıģ ı", + "Îij ÎĽ", + "Ġ hoa", + "Ġh oa", + "Ġho a", + "Ġ ศ", + "Ġภ¨", + "ı ÅŁtır", + "Ä±ÅŁ tır", + "ÑĢ Ñİ", + "Ġк аÑĩе", + "Ġка Ñĩе", + "¼ åIJĪ", + "åħ ´", + "Ġ ê·¸ëŁ¬", + "Ġê·¸ 룬", + "Ġм ÑĸÑģÑĤ", + "ĠмÑĸ ÑģÑĤ", + "ĠмÑĸÑģ ÑĤ", + "Ġм не", + "Ġмн е", + "ãĥ¼ ãĤº", + "ãĥ¼ãĤ º", + "ç§ Ģ", + "Ġع ÙĦÙĬÙĩ", + "ĠعÙĦ ÙĬÙĩ", + "ĠعÙĦÙĬ Ùĩ", + "Ġ ìĭľê°Ħ", + "Ġìĭľ ê°Ħ", + "Ġà¤ĺ र", + "Ġ Ñĥг", + "ĠÑĥ г", + "åıij å±ķ", + "ı ÅŁÄ±", + "Ä±ÅŁ ı", + "Ġ ìĪľ", + "ĠìĪ ľ", + "Ġ íĻľ", + "ĠíĻ ľ", + "æ¡ £", + "Ġn okt", + "Ġno kt", + "Ġnok t", + "l ém", + "lé m", + "ен нÑĭй", + "Ġب Ùħ", + "à¥ĩ य", + "à¥ĩठ¯", + "о дав", + "од ав", + "ода в", + "à¹Ĥ ร", + "ï¼Į æľī", + "ا ÙĬات", + "اÙĬ ات", + "اÙĬا ت", + "ا ÛĮÙĩ", + "اÛĮ Ùĩ", + "Ġà¤īप य", + "Ġs mÄĽ", + "Ġsm ÄĽ", + "Ø´ د", + "Ш ÐIJ", + "Ġا ÙħاÙħ", + "ĠاÙħ اÙħ", + "ĠاÙħا Ùħ", + "æ¿ Ģ", + "Ġho ạch", + "об ÑĢаз", + "обÑĢаР·", + "à¥ĭ ह", + "ĠÑĢеб ен", + "иÑĤ елÑı", + "иÑĤе лÑı", + "ãģªãģĮ ãĤī", + "س اÙĦ", + "Ġ à¸Īำ", + "Ġà¸Ī ำ", + "Ġ خاص", + "ĠØ® اص", + "Ġg eri", + "Ġge ri", + "Ġger i", + "ठĺ", + "Ġ ìº", + "Ġì º", + "à¹ģ à¸Ĺ", + "âĢĮ ÛĮ", + "Ú¯ رÛĮ", + "گر ÛĮ", + "ا Ùħبر", + "اÙħ بر", + "ÑĪ Ñĥ", + "Ġp hong", + "Ġph ong", + "Ġphon g", + "и мо", + "им о", + "п а", + "Ġ ìµľê³ł", + "Ġìµľ ê³ł", + "Ġ нам", + "Ġн ам", + "Ġна м", + "o stÃŃ", + "os tÃŃ", + "ost ÃŃ", + "is ini", + "isi ni", + "isin i", + "Ġд Ñĥже", + "ĠдÑĥ же", + "Ñģ ком", + "Ñģк ом", + "Ñģко м", + "ĠпÑĢод Ñĥк", + "ÏĮ ÏĦηÏĦα", + "ÏĮÏĦη ÏĦα", + "a ln", + "al n", + "is ine", + "isi ne", + "isin e", + "è¿ ľ", + "алÑĮ ной", + "алÑĮно й", + "त र", + "t ıģ", + "tı ÄŁ", + "Ġë Ĵ", + "è¿ĺ æĺ¯", + "ĠÙħ Ø«ÙĦ", + "ĠÙħØ« ÙĦ", + "ìľ ¨", + "ï¾ ĺ", + "åĪ ¸", + "ç ¶ļ", + "ç¶ ļ", + "ج اد", + "جا د", + "Ġ кÑĥ", + "Ġк Ñĥ", + "åĢ ij", + "o vu", + "ov u", + "Ġs Ä©", + "Ġ ìłIJ", + "Ġìł IJ", + "ĠÑĥ ÑĢов", + "ि à¤ļ", + "िठļ", + "ov ali", + "ova li", + "oval i", + "Ġ ÙĪÙĨ", + "ĠÙĪ ÙĨ", + "Ġ ìĿĮ", + "ĠìĿ Į", + "Ġк г", + "า à¸ĺ", + "าภĺ", + "ÏĦ Ïģα", + "ÏĦÏģ α", + "ž dy", + "à¹Į à¸ķ", + "Ġ nÄĽm", + "ĠnÄĽ m", + "Ġ Це", + "ĠЦ е", + "n oho", + "no ho", + "Ġëĭ¤ ìĭľ", + "Ġté to", + "Ġb iá»ĥu", + "ĠY ön", + "Ġpr áce", + "Ġprá ce", + "à¥ī र", + "Ġch ÃŃ", + "ов ой", + "ово й", + "Ġm ợ", + "Ġmá» Ł", + "èª ª", + "Ïİ ÏĤ", + "в олÑı", + "во лÑı", + "вол Ñı", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "å¯ ¦", + "é» ŀ", + "Ġà¤ı व", + "Ïħ να", + "Ïħν α", + "å² ¡", + "kh ông", + "ĠpÅĻÃŃpad ÄĽ", + "å Ĺ", + "Ġبد ÙĪÙĨ", + "Ïĥ κε", + "Ïĥκ ε", + "Ġdik kat", + "ĠAn cak", + "ĠAnc ak", + "Ġt iá»ĩn", + "Ġti á»ĩn", + "éĿ Ļ", + "Ġ ìĿ¼ë°ĺ", + "ĠìĿ¼ ë°ĺ", + "ĠÄį len", + "ìķ ħ", + "ा à¤ĩन", + "ाà¤ĩ न", + "ãģ£ ãģ¦ãģĦãģŁ", + "ãģ£ãģ¦ ãģĦãģŁ", + "ãģ£ãģ¦ãģĦ ãģŁ", + "ĠìĿ´ ìļ©", + "ÙĪ ÙħÛĮ", + "ÙĪÙħ ÛĮ", + "i ná", + "in á", + "ặ ng", + "ặn g", + "Ïİ Ïģα", + "ÙĨ ÙĬØ©", + "ÙĨÙĬ Ø©", + "в аж", + "ва ж", + "è İ·", + "èİ ·", + "å© ļ", + "ĠÅŁ u", + "Ġ ãģĬ", + "Ġد رب", + "Ġدر ب", + "Ġd iá»ħn", + "ÅĻ eba", + "ÅĻe ba", + "ÅĻeb a", + "as ının", + "asını n", + "ç½ij ç«Ļ", + "н ÑĮого", + "нÑĮ ого", + "нÑĮо го", + "ĠاÙĦØ£ ÙĪÙĦ", + "ικ ÎŃÏĤ", + "Ġz ÃŃsk", + "о ло", + "ол о", + "ĠÑį ÑĤоÑĤ", + "ĠÑįÑĤ оÑĤ", + "ĠÑįÑĤо ÑĤ", + "Ġp okud", + "Ġpo kud", + "Ġpok ud", + "è² »", + "е ÑĢÑĸв", + "еÑĢ Ñĸв", + "еÑĢÑĸ в", + "ãĥķ ãĤ£", + "ãĥķãĤ £", + "иÑĤÑĥ а", + "Ġv yd", + "Ġvy d", + "о лож", + "ол ож", + "оло ж", + "л ÑıÑĤÑĮ", + "лÑı ÑĤÑĮ", + "ÙĤ Ùħ", + "æ´ ĭ", + "æ§ ĭ", + "Ġغ ÛĮر", + "Ġ stÅĻed", + "Ġst ÅĻed", + "ĠstÅĻ ed", + "ظ ر", + "Ġhiç bir", + "θ εί", + "θε ί", + "z nik", + "zn ik", + "д Ñĭ", + "l uv", + "lu v", + "ĠÙħ ؤ", + "ĠÚ¯ رÙĪÙĩ", + "Ġگر ÙĪÙĩ", + "Ġ ï¼īĊ", + "Ġï¼ī Ċ", + "t eri", + "ter i", + "te ri", + "ĠÏħ ÏĢο", + "ĠÏħÏĢ ο", + "v oj", + "vo j", + "Ġبع ض", + "Ġb ilin", + "Ġbi lin", + "Ġbil in", + "Ġ رÙĪØ´", + "Ġر ÙĪØ´", + "ĠرÙĪ Ø´", + "Ġоб Ñıз", + "Ġ ï»", + "Ġï »", + "س ÙĨ", + "Ġ ÏĢα", + "ĠÏĢ α", + "í į¼", + "Ġt ÃŃn", + "ĠtÃŃ n", + "Ġ ´", + "Ġ ´", + "ìĤ¬ ìĿ´íĬ¸", + "ìĤ¬ìĿ´ íĬ¸", + "Ġ podob", + "Ġpo dob", + "Ġpod ob", + "Ñī ее", + "Ñīе е", + "Ġ åįĹ", + "Ġåį Ĺ", + "Ġb ych", + "Ġby ch", + "о зи", + "оз и", + "ĠV Äĥn", + "ØŃ Ùĩ", + "åѦ éĻ¢", + "ĠÅĻ ekl", + "ĠÅĻe kl", + "ĠÅĻek l", + "립 ëĭĪëĭ¤", + "Ġп ÑĢоÑģ", + "ĠпÑĢ оÑģ", + "ĠпÑĢо Ñģ", + "κ ά", + "ĠbaÅŁ ladı", + "ủ y", + "Ñİ Ð´Ð¶", + "ाà¤ı à¤Ĺ", + "à¤Ĥ à¤ļ", + "Ġ ê´Ģ볨", + "Ġê´Ģ 볨", + "Ġв опÑĢоÑģ", + "ĠÑģÑĤ аÑĤÑĮ", + "ĠÑģÑĤаÑĤ ÑĮ", + "ĠÑģÑĤа ÑĤÑĮ", + "Ġy atırım", + "Ġyatır ım", + "н Ñĥла", + "нÑĥ ла", + "нÑĥл а", + "ر اÙģ", + "را Ùģ", + "Ġç eÅŁit", + "Ġà¤ī द", + "å¤ ®", + "Ġпо Ñıв", + "åĽ½ 家", + "ĠÑģооÑĤвеÑĤ ÑģÑĤв", + "ìķ ¡", + "ĠØ® ÙĪاÙĩد", + "ĠØ®ÙĪاÙĩ د", + "ĠØ®ÙĪ اÙĩد", + "Å¡ Å¡ÃŃ", + "Âł п", + "ĠNh Ãł", + "' '''", + "'' ''", + "''' '", + "ï½ ¨", + "à ħ", + "Ġ ïº", + "Ġï º", + "ĠØ¢Ùħ رÛĮÚ©", + "lar ımız", + "larım ız", + "ج ا", + "Ùģ ÙĤ", + "Ġ á»", + "Ġá »", + "Ġ ìķł", + "Ġìķ ł", + "Ġز باÙĨ", + "ĠÑĤ воÑĢ", + "ĠÑĤв оÑĢ", + "н иÑĩеÑģ", + "ни ÑĩеÑģ", + "ниÑĩ еÑģ", + "Ġк ни", + "Ø® داÙħ", + "à¸Ł ร", + "Ġ ì¹ĺ", + "Ġì¹ ĺ", + "ว าม", + "ĠÙħ ÙĩÙħ", + "ĠÙħÙĩ Ùħ", + "Ġs tol", + "Ġst ol", + "Ġsto l", + "Ġed ilen", + "Ġedi len", + "Ġedil en", + "Ġ pek", + "Ġp ek", + "Ġpe k", + "اÙĨ ات", + "اÙĨا ت", + "алÑĮ нÑĸ", + "Ġнеоб ÑħÑĸд", + "à¹Ħ ว", + "Ġश र", + "Ġ íĮIJ", + "ĠíĮ IJ", + "Ò ij", + "Ġ ним", + "Ġн им", + "Ġни м", + "Ġ à¸ĺ", + "Ġภĺ", + "æĺ ł", + "äº Ĵ", + "ĠbaÅŁ ar", + "ž i", + "Ġм ног", + "Ġмн ог", + "l endi", + "len di", + "á vajÃŃ", + "áv ajÃŃ", + "n ict", + "ni ct", + "nic t", + "Ġд Ñĥм", + "ĠдÑĥ м", + "éĻ ©", + "Ïĥ Ïĥ", + "i ky", + "ik y", + "алÑĮ нÑĭй", + "Ġ ÙħÙĨت", + "ĠÙħ ÙĨت", + "ĠÙħÙĨ ت", + "å® ®", + "- за", + "-з а", + "еÑĢ к", + "å¡ Ķ", + "Ġμε ÏĦα", + "oÄŁ un", + "oÄŁu n", + "ÎĹ Îľ", + "à¥Īà¤Ĥ ।Ċ", + "à¥Īà¤Ĥ। Ċ", + "Äį ky", + "å¹³ åı°", + "à¥ĭ श", + "Ġ ona", + "Ġo na", + "Ġon a", + "Ġ bec", + "Ġb ec", + "Ġbe c", + "ì ¢", + "Ġc ây", + "Ġcâ y", + "k ün", + "kü n", + "Ġ à¤Ī", + "ĠठĪ", + "Ġr á»Ļng", + "еÑĢ б", + "å¹ ¸", + "ï¾ IJ", + "ĠпÑĸд пÑĢиÑĶм", + "çĶ £", + "Ġ ÏĦε", + "ĠÏĦ ε", + "ĠÙĨÙĤ Ø´", + "о виÑħ", + "ов иÑħ", + "ови Ñħ", + "ĠÙģ Ùī", + "Ðļ ак", + "Ùİ Ø±", + "Ġ Щ", + "ĠÐ ©", + "алÑĮ нÑĭÑħ", + "Ġk üçük", + "èŃ ·", + "æĭ ħ", + "i caret", + "ic aret", + "ica ret", + "icare t", + "Ġ رÙģت", + "Ġر Ùģت", + "ĠرÙģ ت", + "Ġод ного", + "Ġодно го", + "ÑĪ им", + "ÑĪи м", + "Ġ бÑĸ", + "Ġб Ñĸ", + "Ġuygu lam", + "Ġ æĭ", + "Ġæ ĭ", + "ä½ Ľ", + "u cu", + "uc u", + "d ÃŃ", + "Å ĺ", + "ئ Ø©", + "ê± ¸", + "Ù Į", + "Ġ ÎłÏģο", + "ĠÎł Ïģο", + "Ġye rine", + "Ġyer ine", + "Ġyeri ne", + "ĠÑĸн ÑĦоÑĢма", + "Ġ å¤ĸ", + "Ġå¤ ĸ", + "ä» ķ", + "н ав", + "на в", + "a rası", + "ar ası", + "ara sı", + "aras ı", + "à¸Ńà¸Ļ à¹Ħลà¸Ļ", + "ا شت", + "اش ت", + "ز ÙĬ", + "æ© ĭ", + "Ġ ãĤ«", + "ĠãĤ «", + "èĥ½ åĬĽ", + "å¥ Ĺ", + "Ġpro h", + "Ġpr oh", + "Ġп ÑĢава", + "ĠпÑĢ ава", + "ĠпÑĢав а", + "ĠпÑĢа ва", + "Ỽ p", + "Ġ à¸Ĥà¸Ńà¸ĩ", + "Ġà¸Ĥ à¸Ńà¸ĩ", + "Ġ ë´", + "Ġë ´", + "Ġl úc", + "Ġ éķ", + "Ġé ķ", + "ب ÙĪد", + "بÙĪ د", + "r upa", + "ru pa", + "rup a", + "ا زÙħ", + "از Ùħ", + "Ġ кан", + "Ġк ан", + "Ġка н", + "ılı m", + "ıl ım", + "Ġ Ùĩد", + "ĠÙĩ د", + "ãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢ ĠãĢĢ", + "ãĢĢĠ ãĢĢĠãĢĢ", + "Ñĭ ваеÑĤ", + "Ñĭв аеÑĤ", + "Ñĭва еÑĤ", + "Ø® اÙĨÙĩ", + "خاÙĨ Ùĩ", + "Ñĥ кÑĤ", + "Ñĥк ÑĤ", + "ĠçĻ¾ 度", + "ĠnÄĽ co", + "е мон", + "ем он", + "емо н", + "Ġà¤ħ प", + "Ġ ÎĮ", + "ĠÎ Į", + "ün ün", + "ünü n", + "æĸĩ åĮĸ", + "ä¹ İ", + "ä¸Ĭ çļĦ", + "ÙĦ ÙĬÙħ", + "ÙĦÙĬ Ùħ", + "ĠtÄĽ ch", + "ا سب", + "اس ب", + "âĢĻ ÑĶ", + "Ġ Ú¯ÛĮ", + "ĠÚ¯ ÛĮ", + "Ġ ê·¼", + "Ġê· ¼", + "Ġtr ẻ", + "μÎŃ Î½Î¿", + "μÎŃν ο", + "ãģĵãģ¨ ãĤĴ", + "ìĿ´ ëĤĺ", + "åĸ Ħ", + "Ġtr ả", + "åĪĨ æŀIJ", + "Ġ dÄĽl", + "Ġd ÄĽl", + "ĠdÄĽ l", + "Ñĥ Ñģка", + "ÑĥÑģ ка", + "ÑĥÑģк а", + "Ġм ного", + "Ġмн ого", + "Ġмног о", + "à¥Ī र", + "μα ÏĦοÏĤ", + "μαÏĦο ÏĤ", + "Ġm ÃŃsto", + "ĠmÃŃ sto", + "ĠmÃŃst o", + "Ġ ê°ģ", + "Ġê° ģ", + "Ġп ÑĢог", + "ĠпÑĢ ог", + "ĠпÑĢо г", + "b aÅŁ", + "ba ÅŁ", + "а йÑĤе", + "ай ÑĤе", + "айÑĤ е", + "Ġc á»ķ", + "å¿ ľ", + "ï¼ģ Ċ", + "ç ı", + "Ġbir çok", + "Ġ íĺķ", + "Ġíĺ ķ", + "çµ Į", + "ĠEv rop", + "ĠÑģ оÑĨÑĸ", + "ĠÑģо ÑĨÑĸ", + "ä»ĸ çļĦ", + "Ġ μÏĢο", + "Ġμ ÏĢο", + "ĠμÏĢ ο", + "å¥ Ī", + "Ġ Ú¯ÙĦ", + "ĠÚ¯ ÙĦ", + "ÙĪ ÙĦØ©", + "ÙĪÙĦ Ø©", + "æµ İ", + "Ġ Ú©ÙĪ", + "ĠÚ© ÙĪ", + "± ä¹IJ", + "ãģĹ ãģı", + "ãģĹãģ ı", + "çº ³", + "ÑģÑĤв енно", + "ÑģÑĤвен но", + "éĽ ¢", + "ा .", + "Ġgerçek leÅŁtir", + "ĠgerçekleÅŁ tir", + "Ġ kır", + "Ġk ır", + "Ġkı r", + "ì ³", + "Ġг оÑģп", + "å¹ ķ", + "ìĦ ¼", + "» .Ċ", + "». Ċ", + "к ÑĥÑĢ", + "кÑĥ ÑĢ", + "Ġ رÛĮ", + "Ġر ÛĮ", + "æĽ ¾", + "ÙĪ رÙĬ", + "ÙĪر ÙĬ", + "лекÑģ анд", + "ص Ùģ", + "Ġc ảnh", + "Ġcả nh", + "å± Ĥ", + "ãĤ Ĩ", + "Ġ تس", + "Ġت س", + "ì° ½", + "기 를", + "Ġ à¹Ģà¸Ħ", + "Ġà¹Ģ à¸Ħ", + "Ġà¹ĢภĦ", + "çŁ Ń", + "Ġ ÑģÑĤÑĢо", + "ĠÑģ ÑĤÑĢо", + "ĠÑģÑĤ ÑĢо", + "ĠÑģÑĤÑĢ о", + "ĠÏĥ ÏĦιÏĤ", + "ĠÏĥÏĦι ÏĤ", + "à¥įय व", + "Ġع ÙĦÙħ", + "ĠعÙĦ Ùħ", + "ĠÑģ иÑĤÑĥа", + "ĠÑī одо", + "ĠÑīо до", + "åIJ Ľ", + "Ùħ س", + "ĠоÑĤ кÑĢÑĭ", + "ĠоÑĤк ÑĢÑĭ", + "Ġsp oj", + "Ġspo j", + "ĠÄij Äĥng", + "Ġs avaÅŁ", + "Ġsav aÅŁ", + "ี ร", + "sk ém", + "ské m", + "Ġ è¡Į", + "Ġè¡ Į", + "é ¹", + "Ġ ÙĬÙħÙĥÙĨ", + "ĠÙĬÙħ ÙĥÙĨ", + "о вано", + "ов ано", + "ова но", + "ован о", + "Ġп ÑĢавилÑĮ", + "ĠпÑĢав илÑĮ", + "ĠпÑĢави лÑĮ", + "ĠпÑĢавил ÑĮ", + "Ġchiế c", + "èĪ ¹", + "éĵ ¶", + "ĠоÑĤ д", + "Ġ ìĿĢ", + "ĠìĿ Ģ", + "íħ Ķ", + "Ġ Nej", + "ĠN ej", + "ĠNe j", + "о не", + "он е", + "Ġk ız", + "Ġkı z", + "олог иÑĩеÑģ", + "Ġ кÑĢаÑĹ", + "ĠкÑĢа ÑĹ", + "à¸ļ à¸Ńล", + "æ¥ ¼", + "Ġت ÙħاÙħ", + "ĠتÙħ اÙħ", + "Ġب ÛĮÙħ", + "ĠبÛĮ Ùħ", + "ĠÑģ Ñĥб", + "ĠÑģÑĥ б", + "v ý", + "Ñģ кие", + "Ñģк ие", + "Ñģки е", + "ëĮĢ ë¡ľ", + "ëĮ Ģë¡ľ", + "???? ????", + "abilir siniz", + "ан Ñģов", + "анÑģ ов", + "代 表", + "Ġ매 매", + "олог ÑĸÑĩ", + "μ αν", + "μα ν", + "ак Ñģим", + "акÑģ им", + "ãĤ¤ ãĥ«", + "Ġt ải", + "Ġtả i", + "Ùħ ÙĪ", + "å® Ĺ", + "n em", + "ne m", + "Ġkho ản", + "Ġ паÑĤ", + "Ġп аÑĤ", + "Ġпа ÑĤ", + "ан ÑĤа", + "анÑĤ а", + "Ġпом оÑī", + "Ġ vod", + "Ġv od", + "Ġvo d", + "Ġkay nak", + "Ġkayn ak", + "Ïĥ ÏĨ", + "à¥Ĥ त", + "du ÄŁ", + "а ÑĤиÑģÑı", + "аÑĤи ÑģÑı", + "Ġ ç¥ŀ", + "Ġç¥ ŀ", + "ĠÑģ лова", + "ĠÑģл ова", + "ĠÑģлов а", + "ĠÑģло ва", + "ÑĢÑĥ кÑĤÑĥ", + "ÑĢÑĥк ÑĤÑĥ", + "ÑĢÑĥкÑĤ Ñĥ", + "ĠmÄĽ sÃŃ", + "Ùı Ùħ", + "зна Ñĩа", + "знаÑĩ а", + "Ġ èī", + "Ġè ī", + "åѦ çĶŁ", + "æ´ ¥", + "Ùİ ÙĬ", + "è§ Ī", + "Ġ å®ī", + "Ġå® ī", + "Ġgör Ã¼ÅŁ", + "ál nÄĽ", + "áln ÄĽ", + "ĠëĶ° ëĿ¼", + "ĠÙħ ÙĪجÙĪد", + "ĠÙħÙĪج ÙĪد", + "ĠÄij ứ", + "ĠÄijá» ©", + "ĠçalÄ±ÅŁ malar", + "ĠçalÄ±ÅŁma lar", + "ĠÑı киÑħ", + "ĠÑıк иÑħ", + "Ġاج تÙħاع", + "μ εν", + "με ν", + "èİ ī", + "ç§ ¯", + "ì¶ ķ", + "à¥į शन", + "à¥įश न", + "Ġx ét", + "Ġв ÑĤоÑĢ", + "ĠвÑĤ оÑĢ", + "çİ ©", + "Âł ÐĿ", + "ÑĪ ие", + "ÑĪи е", + "о ÑĢи", + "оÑĢ и", + "Ø£ س", + "Ġthu á»ijc", + "ëĭĪ ê¹Į", + "ë ķĮ", + "ÑĢ Ñĥп", + "ÑĢÑĥ п", + "Ñģ ÑıÑĤ", + "ÑģÑı ÑĤ", + "з Ñĭ", + "ĠÑģ меÑĢ", + "ĠÑģм еÑĢ", + "Ġv yb", + "Ġvy b", + "ĠìĿ´ ìĥģ", + "à¤ļ न", + "Ġgel di", + "Ġgeld i", + "Û± Û°", + "Û±Û °", + "ικ Ïİν", + "ĠÄIJ ức", + "Ġд оÑģÑĤаÑĤ", + "ĠдоÑģÑĤ аÑĤ", + "Ġö nc", + "Ġön c", + "è¦ ª", + "Ġ adı", + "Ġa dı", + "Ġad ı", + "un ca", + "unc a", + "ĠاÙĦ تر", + "ĠاÙĦت ر", + "çķ ¶", + "ĠФ едеÑĢа", + "ĠФед еÑĢа", + "лÑı ÑİÑĤÑģÑı", + "лÑıÑİÑĤ ÑģÑı", + "ĠÙĥ اÙĨت", + "ĠÙĥاÙĨ ت", + "æİ ¢", + "Ġ Ñĥб", + "ĠÑĥ б", + "Ġ κο", + "Ġκ ο", + "ाà¤ĩ à¤Ł", + "з н", + "Ġm ôi", + "Ġmô i", + "Ġ ãĤµ", + "ĠãĤ µ", + "Ġна вÑĸ", + "Ġнав Ñĸ", + "ç» ¼åIJĪ", + "Ġмин ÑĥÑĤ", + "Ġми нÑĥÑĤ", + "ĠминÑĥ ÑĤ", + "d ık", + "dı k", + "ÑĢ Ñĥд", + "ÑĢÑĥ д", + "åľ ĸ", + "ê° ¤", + "ĠÄijo Ãłn", + "è ¤", + "à¥į वर", + "à¥įव र", + "ĠÃľn iversit", + "а но", + "ан о", + "éĽ ¨", + "ĠvÅ¡ech ny", + "Ġëĭ¤ ìĿĮ", + "ĠC umhur", + "ĠCum hur", + "Ġм Ñĥз", + "ĠмÑĥ з", + "a ÅŁtır", + "aÅŁ tır", + "Ġ ê±°ëŀĺ", + "Ġê±° ëŀĺ", + "Ġ é¡", + "Ġé ¡", + "žit ÃŃ", + "ži tÃŃ", + "Ġ à¸Ł", + "ĠภŁ", + "Ġthu ế", + "Ġм Ñĥж", + "ĠмÑĥ ж", + "ĠÎij ν", + "Ġد ÙĪÙħ", + "ĠدÙĪ Ùħ", + "ĠÑģ ин", + "ĠÑģи н", + "Ġ ÏīÏĤ", + "ĠÏī ÏĤ", + "m eler", + "me ler", + "mel er", + "Ġ poÄį", + "Ġp oÄį", + "Ġpo Äį", + "Ġколи Ñĩе", + "ĠколиÑĩ е", + "ĠK Äį", + "è³ ½", + "ĠоÑģ Ñĸб", + "åı ¥", + "ĠB öl", + "à¸ĺ รรม", + "Ġc ạnh", + "å° ĩ", + "Ġ ноÑģ", + "Ġн оÑģ", + "Ġно Ñģ", + "èĦ ¸", + "Ġgel ir", + "о ÑĢон", + "оÑĢ он", + "оÑĢо н", + "à¥įर à¤Ń", + "ç» ĩ", + "ุ à¹ī", + "ाम ल", + "Ġc âu", + "Ġcâ u", + "Ñij ÑĤ", + "Ġ :|", + "Ġ: |", + "ãĤĮ ãģ¦", + "Ġpos led", + "Ġpo sled", + "ãĤ¹ ãĥĨ", + "ÑĸлÑĮ ÑĪ", + "ен ÑĤÑĭ", + "енÑĤ Ñĭ", + "Ø® دÙħ", + "Ġباش گاÙĩ", + "Ġth Æ°", + "á vánÃŃ", + "áv ánÃŃ", + "ává nÃŃ", + "ëĬ IJ", + "ĠØ£ ØŃ", + "ر اد", + "را د", + "ĠبسÛĮ ار", + "åĪ° äºĨ", + "\" ;\"", + "\"; \"", + "å° İ", + "Ġ ör", + "Ġö r", + "à¸Ĭ าà¸ķ", + "g enus", + "gen us", + "Ġya kın", + "Ġyak ın", + "Ġ ÃŃt", + "ĠÃŃ t", + "reg num", + "regn um", + "Ġf iyat", + "Ġfi yat", + "н ÑĸÑħ", + "нÑĸ Ñħ", + "åľ° æĸ¹", + "Ġbil gi", + "Ġbilg i", + "к ам", + "ка м", + "Ġs pol", + "Ġsp ol", + "Ġspo l", + "ائ ÙĬ", + "Ġ ÙĬÙĨ", + "ĠÙĬ ÙĨ", + "า หาร", + "าห าร", + "Ġب Ú¯", + "é ĺħ", + "éĺ ħ", + "ĠاÙĦ شر", + "ĠاÙĦØ´ ر", + " ģ", + "ĠÑĸн ÑĪиÑħ", + "ĠÑĸнÑĪ иÑħ", + "Ġtr ạng", + "çģ £", + "Ġc á»±c", + "к ан", + "ка н", + "èĭ ı", + "à Ķ", + "Ġl á»Ŀi", + "Ġlá» Ŀi", + "Ñı Ñĩ", + "Ġ ÙĪØŃ", + "ĠÙĪ ØŃ", + "ìĪ ľ", + "Å ¸", + "Ġв оÑģп", + "Ġво Ñģп", + "ĠвоÑģ п", + "ì¡ Į", + "Äį nÃŃch", + "ÄįnÃŃ ch", + "Ø® رÙī", + "خر Ùī", + "ائ ÙĬØ©", + "ائÙĬ Ø©", + "Ġsu ất", + "æĩ ī", + "ا ØŃÛĮ", + "اØŃ ÛĮ", + "Ġn áz", + "Ġná z", + "è¿Ļ ç§į", + "Ġзаб езпеÑĩ", + "Ġ ЧеÑĢ", + "ĠЧ еÑĢ", + "Ġзд ÑĸйÑģ", + "åı ¦", + "æĭ ¬", + "à¥ģ ष", + "à¥ģठ·", + "μ ÏĨ", + "ëĥ IJ", + "Ðķ Ñģли", + "é ¬", + "Ġ íĥľ", + "Ġíĥ ľ", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "Ġм л", + "å´ İ", + "Ùģ ع", + "Ġ ÙĤدر", + "ĠÙĤ در", + "ĠÙĤد ر", + "Ġv á»ijn", + "å¦ ¹", + "Ġ ÐĿаÑģ", + "ĠÐĿ аÑģ", + "ĠÐĿа Ñģ", + "à¥į फ", + "à¥įठ«", + "ãĤ¸ ãĥ£", + "Ġm ı", + "ен Ñģ", + "б Ñĥд", + "бÑĥ д", + "ĠØŃ ØªÙī", + "Ġ ì²´", + "Ġì² ´", + "ĠÑĸ ÑģÑĤоÑĢ", + "ĠÑĸÑģ ÑĤоÑĢ", + "Ġgi ấy", + "γ οÏģ", + "γο Ïģ", + "ëIJĺ ìĸ´", + "Ġ íĤ", + "Ġí Ĥ", + "ĠÐŀд на", + "ĠÙĨ ÙħÙĪد", + "ĠÙĨÙħ ÙĪد", + "Ġвип ад", + "ĠìŀIJ ìĭł", + "Ġj ste", + "Ġjs te", + "Ġ ëĵ±ë¡Ŀ", + "Ġëĵ± ë¡Ŀ", + "ek ten", + "ekt en", + "ekte n", + "ĠÑĢ еÑĩ", + "ĠÑĢе Ñĩ", + "r odnÃŃ", + "rod nÃŃ", + "س تر", + "ست ر", + "ı t", + "ä¹ħ ä¹ħ", + "ĠØ® ÙĦاÙĦ", + "ĠØ®ÙĦ اÙĦ", + "Ġ ç¦", + "Ġç ¦", + "u luk", + "ul uk", + "ulu k", + "l enen", + "le nen", + "len en", + "lene n", + "i lip", + "il ip", + "ili p", + "è´ ¢", + "Ġà¤ħ à¤ķ", + "ĠY ıl", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Ġ à¤Ŀ", + "ĠठĿ", + "ĠB ình", + "Ġol muÅŁ", + "Ġolm uÅŁ", + "اÙĦ Ø¥ÙĨجÙĦÙĬزÙĬØ©", + "اÙĦØ¥ ÙĨجÙĦÙĬزÙĬØ©", + "м енно", + "мен но", + "aln ız", + "Ġ شرÙĥØ©", + "Ġشر ÙĥØ©", + "Ġس ÙĨØ©", + "ĠسÙĨ Ø©", + "è´ Ł", + "ä½ľ åĵģ", + "Ġ ìķ½", + "Ġìķ ½", + "ĠдÑĢÑĥг иÑħ", + "ĠbaÄŁ lantı", + "о дÑĥ", + "од Ñĥ", + "çļĦ æĺ¯", + "ั à¸Ļà¸Ķ", + "ัà¸Ļ à¸Ķ", + "ĠкоÑĤоÑĢ ÑĭÑħ", + "ĠاÙĦ ÙĪÙĦ", + "ĠاÙĦÙĪ ÙĦ", + "ê¸Ģ ìĥģìľĦ", + "ĠÏĢ εÏģ", + "ĠÏĢε Ïģ", + "리 ìķĦ", + "i bar", + "ib ar", + "iba r", + "Ġ èĥ", + "Ġè ĥ", + "ãģŁ ãģĦ", + "á j", + "ĠìľĦ íķ´", + "? âĢľĊĊ", + "?âĢľ ĊĊ", + "Ġ íİĺ", + "Ġíİ ĺ", + "Ġ ней", + "Ġн ей", + "Ġне й", + "ĠÐĹ Ð°Ðº", + "ĠÐĹа к", + "Ġ ÐĴÑĸд", + "ĠÐĴ Ñĸд", + "е лÑĸ", + "ел Ñĸ", + "è¯ ¾", + "åī ¯", + "m adan", + "ma dan", + "mad an", + "mada n", + "æľ «", + "ĠÏĢ ÏģÏĮ", + "Ġп ÑģиÑħ", + "Ġ ÑĤÑĸ", + "ĠÑĤ Ñĸ", + "Ùĥ ات", + "Ġvys ok", + "ê´Ģ 리", + "ül tür", + "ült ür", + "Ġ à¹Ģà¸Ń", + "Ġà¹Ģ à¸Ń", + "Ġà¹ĢภŃ", + "Ġ íķ©", + "Ġíķ ©", + "çĿ £", + "Ġ ÑĢиÑģ", + "ĠÑĢ иÑģ", + "е ÑĢÑĮ", + "еÑĢ ÑĮ", + "ĠÚ© ÙĦÛĮ", + "ĠÚ©ÙĦ ÛĮ", + "Ġ ãĥŀ", + "Ġãĥ ŀ", + "Ġph ÃŃa", + "ĠphÃŃ a", + "å «", + "ا Ú¯", + "Ġ é¢", + "Ġé ¢", + "ĠÙĨ Ùģر", + "ĠÙĨÙģ ر", + "Ġ جاÙĨ", + "Ġج اÙĨ", + "Ġجا ÙĨ", + "Ġ yas", + "Ġy as", + "Ġya s", + "ж ениÑı", + "же ниÑı", + "жен иÑı", + "ĠлÑĥÑĩ ÑĪе", + "Ġ çº", + "Ġç º", + "Ġ мон", + "Ġм он", + "Ġмо н", + "Ġت Ø®", + "Ġ Ø´ÛĮ", + "ĠØ´ ÛĮ", + "Ġн екоÑĤоÑĢ", + "Ġнек оÑĤоÑĢ", + "алÑĮ нÑĭе", + "Ġob chod", + "Ġíķ¨ ê»ĺ", + "Ġr iêng", + "ãģķ ãĤĮãĤĭ", + "ãģķãĤĮ ãĤĭ", + "о кÑĥ", + "ок Ñĥ", + "ĠС ШÐIJ", + "ë§ ģ", + "Ġ Nếu", + "ĠN ếu", + "ĠA ÄŁ", + "Ġд веÑĢ", + "Ġдв еÑĢ", + "Ġдве ÑĢ", + "à¥ĭ ष", + "Ġkh iến", + "Ġkhi ến", + "н его", + "не го", + "ì± ħ", + "ั à¸ķร", + "ัà¸ķ ร", + "m alı", + "ma lı", + "mal ı", + "Ġ ÙĬا", + "ĠÙĬ ا", + "ç§ij æĬĢ", + "ื à¸Ļ", + "ห มาย", + "หม าย", + "Ġ خص", + "ĠØ® ص", + "åĨ ľ", + "ÃŃ me", + "ÃŃm e", + "ĠÑįÑĤ ой", + "ĠÑįÑĤо й", + "Ġ ìĹħ", + "ĠìĹ ħ", + "Ġ ä¹", + "ä¼ ¯", + "' ´", + "Ùħ ÙĬÙĦ", + "ÙħÙĬ ÙĦ", + "à¸Ń à¸ĩà¸Ħ", + "à¸Ńà¸ĩ à¸Ħ", + "k ová", + "ko vá", + "kov á", + "è¿Ļ ä¹Ī", + "ãĢĤ æĪij", + "ìĹIJ ìĦľëĬĶ", + "ìĹIJìĦľ ëĬĶ", + "Ġ ìļ©", + "Ġìļ ©", + "ë¹Ħ ìĬ¤", + "Ġ ì¦Ŀ", + "Ġì¦ Ŀ", + "IT TE", + "ITT E", + "Ġ모 ëĵł", + "ĠspoleÄį nosti", + "ĠspoleÄįnost i", + "Ġв ик", + "Ġви к", + "Ġt ÅĻÃŃ", + "ĠtÅĻ ÃŃ", + "é ³", + "Ġ Ø®ÛĮ", + "ĠØ® ÛĮ", + "Ġp ož", + "Ġpo ž", + "Ġиме еÑĤ", + "Ġd ÄĽt", + "ĠdÄĽ t", + "ĠÙħد ÙĦ", + "Ġ мо", + "Ġм о", + "åį ı", + "e nÃŃm", + "en ÃŃm", + "enÃŃ m", + "é ī", + "ا ظ", + "Ø§Ø ¸", + "Ġ teÅŁ", + "Ġt eÅŁ", + "Ġte ÅŁ", + "Ġ veÅĻej", + "Ġve ÅĻej", + "L IC", + "LI C", + "ì§Ģ ëĬĶ", + "Ñĭ ваÑİÑĤ", + "Ñĭв аÑİÑĤ", + "Ñĭва ÑİÑĤ", + "ĠоÑĢг анÑĸ", + "ĠоÑĢган Ñĸ", + "nÃŃ mi", + "nÃŃm i", + "θ ÎŃ", + "ãĤ¯ ãĥ©", + "ãĥ¼ ãĥ³", + "ãĥ¼ãĥ ³", + "ли ÑģÑı", + "i mdi", + "im di", + "imd i", + "æ Ĩ", + "ïº İ", + "Ġìļ´ ìĺģ", + "κ αν", + "κα ν", + "Ġ ë³µ", + "Ġë³ µ", + "Ġ ÐĨн", + "ĠÐĨ н", + "p lication", + "pl ication", + "t ah", + "ta h", + "Ġ ÐIJв", + "ĠÐIJ в", + "Ġc á»Ļng", + "алÑĮ ноÑĹ", + "алÑĮно ÑĹ", + "Ġد ÙĪرÙĩ", + "ĠدÙĪ رÙĩ", + "ĠدÙĪر Ùĩ", + "à¥įर य", + "Ġ Ø®ÙĪ", + "ĠØ® ÙĪ", + "Ġв ÑĢа", + "Ø¥ ÙĨ", + "èĤ ī", + "Ġo yn", + "Ġoy n", + "ĠT Æ°", + "ĠÙĩ ÙħاÙĨ", + "ĠÙĩÙħ اÙĨ", + "ĠбÑĸлÑĮ ÑĪе", + "ĠбÑĸлÑĮÑĪ е", + "æĮ ¯", + "ا ÙħØ©", + "اÙħ Ø©", + "å º«", + "åº «", + "Ġ ÑĢеж", + "ĠÑĢ еж", + "ĠÑĢе ж", + "Ġدار ÙĨد", + "ÑĢ ий", + "ÑĢи й", + "Ġ æĮ", + "Ġæ Į", + "Ġson uç", + "Ġsonu ç", + "Ġt ả", + "ั à¸ĩà¸Ħ", + "ัà¸ĩ à¸Ħ", + "ë° Ľ", + "Ġ мом", + "Ġм ом", + "Ġмо м", + "ви Ñĩай", + "виÑĩ ай", + ". à¸Ħ", + "Ġ à¤Ĩà¤Ī", + "Ġà¤Ĩ à¤Ī", + "åģ ĩ", + "Ġpos kyt", + "Ġpo skyt", + "ĠÑģ Ñĥп", + "ĠÑģÑĥ п", + "ıyor du", + "а ле", + "ал е", + "и ÑĨ", + "Ġ θÎŃ", + "Ġθ ÎŃ", + "ãĤĩ ãģĨ", + "ĠÑģв ой", + "ĠÑģво й", + "ม à¸Ļ", + "Ġn ữa", + "Ġnữ a", + "v oÅĻ", + "vo ÅĻ", + "ا سÙĬ", + "اس ÙĬ", + "éĴ ±", + "ãģĹ ãģ¦ãģĦãģŁ", + "ãģĹãģ¦ ãģĦãģŁ", + "ãģĹãģ¦ãģĦ ãģŁ", + "ĠÄij ầy", + "ا ÙĬر", + "اÙĬ ر", + "Ġar aÅŁtır", + "Ġara ÅŁtır", + "ì £", + "ãģ¨ ãģ¯", + "ĠÑģ поÑĢ", + "ĠÑģп оÑĢ", + "Ġê° Ģìŀ¥", + "Ġê°Ģ ìŀ¥", + "è¼ ī", + "âĸ ¡", + "Ġ ìĻĦ", + "ĠìĻ Ħ", + "оÑĢ аÑı", + "оÑĢа Ñı", + "Ïģ εί", + "Ïģε ί", + "ĠÑį ÑĤа", + "ĠÑįÑĤ а", + "ë©´ ìłģ", + "ìĿ´ ìĬ¤", + "ä½ ³", + "æĻ ļ", + "Ġk val", + "Ġkv al", + "Ġn á»ķi", + "ÑĤ ами", + "ÑĤа ми", + "Ġпол ÑĸÑĤи", + "ĠполÑĸ ÑĤи", + "Ġ Ä°ng", + "ĠÄ° ng", + "ĠÄ°n g", + "нÑĸ ÑģÑĤÑİ", + "нÑĸÑģÑĤ Ñİ", + "Ġ à¹Ģà¸ģ", + "Ġà¹Ģ à¸ģ", + "Ġà¹Ģภģ", + "Ġ 민", + "Ġë ¯¼", + "è Ķ", + "Ïģ ία", + "Ïģί α", + "æİ Ī", + "Ġ çĤ", + "Ġç Ĥ", + "ĠÙĨÙħ اÛĮ", + "Ġ ìŀ¡", + "Ġìŀ ¡", + "æŀ ¶", + "اب ÙĤ", + "Ñģ он", + "Ñģо н", + "ен ного", + "енно го", + "ĠÙħ ÛĮÙĦÛĮ", + "ĠÙħÛĮ ÙĦÛĮ", + "ĠÙħÛĮÙĦ ÛĮ", + "Ġk urum", + "Ġkur um", + "Ġku rum", + "Ġkuru m", + "à¹Į ส", + "Ġ ì´Ŀ", + "Ġì ´Ŀ", + "Ġì´ Ŀ", + "ĠnÄĽk olik", + "ĠnÄĽkol ik", + "Ġ ÙĢ", + "ĠÙ Ģ", + "ĠзаÑģÑĤ оÑģ", + "à¸Ķ à¸Ļ", + "ÙĨ داÙĨ", + "ÙĨد اÙĨ", + "ÙĨدا ÙĨ", + "ĠJ ap", + "ĠJa p", + "éĥ ¡", + "à¥į à¤Ń", + "à¥įठŃ", + "Ġ à¹Ģà¸Ĭ", + "Ġà¹Ģ à¸Ĭ", + "Ġà¹ĢภĬ", + "Ġ âĢ«", + "ĠâĢ «", + "é£ ŀ", + "o vatel", + "ov atel", + "ova tel", + "ovat el", + "ĠÑĩа ÑģÑĤÑĮ", + "ĠÑĩаÑģ ÑĤÑĮ", + "ĠÑĩаÑģÑĤ ÑĮ", + "Ġb á»ķ", + "ãĤ¯ ãĥª", + "ิ à¹Į", + "Ġвид е", + "Ġви де", + "v ail", + "va il", + "Ì ī", + "ÄŁ inde", + "ÄŁi nde", + "ÄŁin de", + "ãģ¨ ãĤĤ", + "âĢĮÚ© ÙĨد", + "âĢĮÚ©ÙĨ د", + "Ġ ëħĦ", + "Ġëħ Ħ", + "Ġ اÙĤتص", + "ĠاÙĤ تص", + "ï½ Ĺ", + "Ïģ ιÏĥ", + "Ïģι Ïĥ", + "з д", + "èĻ ½", + "Ġth oại", + "Ġtho ại", + "Ġ ÙĪز", + "ĠÙĪ ز", + "Ġ mÃŃt", + "Ġm ÃŃt", + "ĠmÃŃ t", + "ĠÑħ олод", + "ĠÑħол од", + "Ġ кÑĥп", + "Ġк Ñĥп", + "ĠкÑĥ п", + "а ниÑħ", + "ан иÑħ", + "ани Ñħ", + "Ġnh ìn", + "ãģĭ ãģª", + "Ġ Ðļом", + "ĠÐļ ом", + "ĠÐļо м", + "ÏĦ εÏģ", + "ÏĦε Ïģ", + "ï¼Į åıª", + "Ġol up", + "Ġhá» ıi", + "ë ij", + "ĠnÄĽk ter", + "i sÃŃ", + "is ÃŃ", + "ĠвикоÑĢиÑģÑĤ ов", + "ìŀ ¡", + "Ġà¤ķ ल", + "Ġìľł ìłĢ", + "ĠпÑĢ иб", + "ĠпÑĢи б", + "èĭ ¦", + "Ġ мов", + "Ġм ов", + "Ġмо в", + "Ġ หà¸Ļ", + "Ġห à¸Ļ", + "ëIJĺ ëĬĶ", + "о ко", + "ок о", + "Ġоб еÑģп", + "Ġk ez", + "Ġke z", + "л ÑıÑħ", + "лÑı Ñħ", + "ĠпÑĢо иÑģ", + "Ġпо вин", + "Ġпов ин", + "ĠÐļ оÑĢ", + "ĠÐļо ÑĢ", + "ì¼ Ģ", + "Ġ Ñģи", + "ĠÑģ и", + "Ġ ä¹ĭ", + "Ġä¹ ĭ", + "ĠâĢĶ Ċ", + "ÑģÑĥÑĤ ÑģÑĤв", + "ç °", + "Ġ à¤ł", + "Ġठł", + "н аÑĤ", + "на ÑĤ", + "Ġs uy", + "Ġsu y", + "Ġ ÑģÑĭ", + "ĠÑģ Ñĭ", + "ĠÙĨ شاÙĨ", + "ĠÙĨØ´ اÙĨ", + "Ġна пÑĢав", + "Ġнап ÑĢав", + "ĠÑĨ ÑĮомÑĥ", + "æĺ¯ ä¸Ģ", + "Ġm üm", + "Ġmü m", + "ÑĶ мо", + "ÑĶм о", + "ĠاسÙĦاÙħ ÛĮ", + "Ġza manda", + "Ġzam anda", + "Ġzaman da", + "ÙĪ ÙħاÙĨ", + "ÙĪÙħ اÙĨ", + "ا ÙĦØŃ", + "اÙĦ ØŃ", + "Å¡t ÄĽnÃŃ", + "Å¡tÄĽ nÃŃ", + "Ġ Ðļак", + "ĠÐļ ак", + "ĠÐļа к", + "¤ íĶĦ", + "¤í ĶĦ", + "ĠÙ¾ رد", + "Ġپر د", + "C ác", + "ε ια", + "ει α", + "Ġ جÙĪ", + "Ġج ÙĪ", + "ĠÄijo ạn", + "Ġà¤ĩ त", + "Ġз ан", + "Ġза н", + "ĠÙħÙĨØ· ÙĤÙĩ", + "ĠÙħ عÙĦ", + "ĠÙħع ÙĦ", + "Ġdo kon", + "Ġdok on", + "åIJ ¸", + "ic kou", + "ick ou", + "å° ģ", + "Ġк иÑģ", + "Ġки Ñģ", + "ัà¸ĩ หว", + "i species", + "is pecies", + "isp ecies", + "Ġнап ÑĢÑı", + "æº ĸ", + "Ġà¤ľ ल", + "à¹Ģ à¸ī", + "à¹Ģภī", + "L AR", + "LA R", + "ĠÑĥÑģлов иÑı", + "ĠWiki species", + "ĠWik ispecies", + "ระ à¸Ķ", + "Ġ mey", + "Ġm ey", + "Ġme y", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "à¹ĩ à¸Ī", + "å¾ Ĵ", + "t ach", + "ta ch", + "u muz", + "um uz", + "umu z", + "κ η", + "à Ĭ", + "Ġ ün", + "Ġü n", + "ĠB ITTE", + "ĠBIT TE", + "ĠÙħ ربع", + "ĠÙħر بع", + "ĠÙħرب ع", + "ãĤ· ãĥ¥", + "िस à¤ķ", + "Ø· ÙĪر", + "Ġв оÑģ", + "Ġво Ñģ", + "ï¾ Ł", + "Ġy ayın", + "Ġyay ın", + "ãģĭ ãĤĬ", + "л иÑı", + "ли Ñı", + "Ġп ÑĢин", + "ĠпÑĢ ин", + "ĠпÑĢи н", + "ij ng", + "ĠÙĨ Ø®", + "Ġl ze", + "Ġlz e", + "à¥įष ण", + "Ġ бо", + "Ġб о", + "Ġ ê¸Ģ", + "Ġê¸ Ģ", + "Ġgel iÅŁtir", + "ĠgeliÅŁ tir", + "à¸Ľà¸£à¸° à¸Ĭ", + "å½ ¡", + "Ġ ãĤª", + "ĠãĤ ª", + "ãģĪ ãģ¦", + "н ÑĥÑĤÑĮ", + "нÑĥ ÑĤÑĮ", + "нÑĥÑĤ ÑĮ", + "Ġ ç½", + "Ġç ½", + "Ġ маг", + "Ġм аг", + "Ġма г", + "ãģ« ãģ¤", + "н оÑģÑĤей", + "ноÑģÑĤ ей", + "Ġ ÙĦÙĬ", + "ĠÙĦ ÙĬ", + "æĢ ª", + "ÑıÑĤ ÑģÑı", + "ภij", + "िय म", + "Ġ ãĢİ", + "ĠãĢ İ", + "ÑĢ ÑĮ", + "Ġm ạng", + "t ım", + "tı m", + "ĠпеÑĢи од", + "о гÑĥ", + "ог Ñĥ", + "ĠкоÑĤоÑĢ аÑı", + "ĠкоÑĤ оÑĢаÑı", + "리 ê°Ģ", + "Ġãħ ¡", + "Ġج اÛĮ", + "Ġجا ÛĮ", + "ĠпоÑĤ ÑĢÑĸб", + "Å¡ en", + "Å¡e n", + "à¸Ń ะ", + "ب ع", + "ØŁ Ċ", + "Ġ ë°©ë²ķ", + "Ġë°© ë²ķ", + "Ġ гоÑĢод", + "Ġг оÑĢод", + "ĠгоÑĢ од", + "Ġ Ðĺн", + "ĠÐĺ н", + "Ġ оказ", + "Ġо каз", + "Ġок аз", + "ر ÙĪز", + "رÙĪ ز", + "Ġili ÅŁk", + "ĠiliÅŁ k", + "å® £", + "f orman", + "form an", + "for man", + "forma n", + "a daÅŁ", + "ad aÅŁ", + "ada ÅŁ", + "ÙĬ ÙĦØ©", + "ÙĬÙĦ Ø©", + "ĠÐļ аÑĢ", + "ĠÐļа ÑĢ", + "Ġm ất", + "æħ ĭ", + "м п", + "à¹Ĥ à¸Ļ", + "ĠØŃÙĤ ÙĪÙĤ", + "Ġд нÑı", + "ĠëĴ ¤", + "ा à¤ķर", + "ाà¤ķ र", + "ì²ĺ ëŁ¼", + "âĢĮ Ø¢", + "h angi", + "han gi", + "hang i", + "è¡Į æĶ¿", + "al iyet", + "ali yet", + "Ġ ì²ľ", + "Ġì² ľ", + "ĠY ap", + "ĠYa p", + "à¹Ĥ รà¸ĩ", + "à¹Ĥร à¸ĩ", + "ì§Ģ ëħ¸", + "Ùİ Ùij", + "Îij ÎĻ", + "á na", + "án a", + "an dır", + "and ır", + "ระ à¸ļà¸ļ", + "ระà¸ļ à¸ļ", + "oÄŁ lu", + "า à¸Īะ", + "าà¸Ī ะ", + "ẩ y", + "ا ÙĪÙĦ", + "اÙĪ ÙĦ", + "ĠмаÑĤ еÑĢÑĸ", + "ÎŁ ÎĿ", + "ÎŁÎ Ŀ", + "Ġin formace", + "Ġinform ace", + "ت ع", + "à¸ļ à¸Ļ", + "ĠÄĮesk é", + "ĠÄĮes ké", + "Ġte mel", + "Ġtem el", + ":::::::::::::::: ::::::::::::::::", + "Ġ chia", + "Ġch ia", + "Ġchi a", + "- Ñģ", + "н еÑĢг", + "не ÑĢг", + "неÑĢ г", + "Ġì° ¾", + "ÑĢ ид", + "ÑĢи д", + "л оÑģÑĮ", + "ло ÑģÑĮ", + "ز ÙĦ", + "ê°Ģ ëĬĶ", + "a né", + "an é", + "Ġнав ÑĸÑĤÑĮ", + "ĠнавÑĸ ÑĤÑĮ", + "ä¸ĵ ä¸ļ", + "Ġ 경기", + "Ġê²½ 기", + "Ġp ÅĻev", + "ĠpÅĻ ev", + "ĠpÅĻe v", + "е ÑĤи", + "еÑĤ и", + "Ġ íĶĮ", + "ĠíĶ Į", + "н ÑıÑĤ", + "нÑı ÑĤ", + "à¥ģ श", + "à¥ģठ¶", + "лÑİ Ð´", + "в иÑī", + "ви Ñī", + "å° ¾", + "çļĦ äºĭ", + "Ġ ëIJľ", + "Ġë IJľ", + "ĠëIJ ľ", + "ر ÙĪÙģ", + "رÙĪ Ùģ", + "Ġ 女", + "Ġå¥ ³", + "κ ή", + "Ġ Tuy", + "ĠT uy", + "ĠTu y", + "Ġê²ĥ ìĿĦ", + "Ġb unu", + "Ġbu nu", + "Ġbun u", + "ĠÑĢаз лиÑĩ", + "ĠD ün", + "ãĤŃ ãĥ£", + "ÑĢ ÑĥÑģ", + "ÑĢÑĥ Ñģ", + "Ġ мм", + "Ġм м", + "l oven", + "lo ven", + "love n", + "lov en", + "Ġot ev", + "n oloj", + "ES Ä°", + "ü p", + "Ġ èĤ", + "Ġè Ĥ", + "ικ ÏĮÏĤ", + "ικÏĮ ÏĤ", + "ض اء", + "ضا Ø¡", + "Ġ пеÑĩ", + "Ġп еÑĩ", + "ÅĻÃŃ klad", + "ãģĵ ãĤį", + "Å¡ tÃŃ", + "Å¡t ÃŃ", + "Ġبر Ú¯", + "ãģĮ ãģĤãĤĭ", + "Ñĸ ÑģÑĤ", + "ÑĸÑģ ÑĤ", + "à¥ī à¤ķ", + "ÏĢ η", + "ĠاÙĦÙħ ست", + "ĠاÙĦÙħس ت", + "Ġз ай", + "Ġза й", + "Ġch Æ°Æ¡ng", + "о ÑĤÑĥ", + "оÑĤ Ñĥ", + "Ġ Сам", + "ĠС ам", + "Å¡ et", + "Å¡e t", + "ĠìŀĪ ìĹĪ", + "ĠÙģ ار", + "Ñĸ он", + "ãĥĹ ãĥŃ", + "Ġnh iá»ĩt", + "in izi", + "ini zi", + "iniz i", + "Ġc ož", + "Ġco ž", + "Ġà¤Ĩ न", + "Ġsyst ém", + "ر ÙĪع", + "رÙĪ ع", + "a yet", + "ay et", + "aye t", + "ĠÙģر ÙĩÙĨÚ¯", + "Ġ è¶", + "Ġè ¶", + "èģ ·", + "è§Ĥ çľĭ", + "н ок", + "но к", + "à¸IJ าà¸Ļ", + "êµIJ ìľ¡", + "k la", + "kl a", + "ãĤģ ãģ¦", + "Îķ ÎĻ", + "åĿ Ĺ", + "Ġsk uteÄį", + "à¥Ĥ à¤ľ", + "ãģij ãģ¦", + "N GC", + "NG C", + "Ġ åĢ", + "Ġå Ģ", + "ĠÑĢоз п", + "nÃŃ ků", + "nÃŃk ů", + "ãĥ³ ãĤ¹", + "ĠÐĴ еÑĢ", + "Ġyüz de", + "Ġ미 êµŃ", + "ĠÙħ Ùī", + "д еÑĢ", + "де ÑĢ", + "а ва", + "ав а", + "Ġmerk ez", + "į ng", + "Ġ ìĤ¼", + "ĠìĤ ¼", + "ĠÑĢоб оÑĤи", + "ĠÑĢобоÑĤ и", + "Ġ нÑĮого", + "Ġн ÑĮого", + "Ġ економ", + "Ġе коном", + "Ġек оном", + "ĠÑĩелов ека", + "ĠÑĩеловек а", + "Ġ à¸ŀระ", + "Ġà¸ŀ ระ", + "Ġà¸ŀร ะ", + "ãĥ Ĵ", + "ãģ£ ãģ¦ãģĦ", + "ãģ£ãģ¦ ãģĦ", + "ä¼ Ĺ", + "ĠпÑĢод ÑĥкÑĤ", + "ĠпÑĢодÑĥк ÑĤ", + "Ġy anı", + "Ġyan ı", + "à¥Ģव न", + "Ġc áºŃp", + "ĠAv rupa", + "ा à¤Ń", + "ाठŃ", + "ĠìłĦ ìļ©", + "æķ £", + "ĠìľĦ íķľ", + "Ñħод иÑĤÑĮ", + "ÑħодиÑĤ ÑĮ", + "Ġsın ır", + "ü cret", + "üc ret", + "s uz", + "su z", + "æ¨ Ĥ", + "Ġ ì°½", + "Ġì° ½", + "Ïģ ίοÏħ", + "Ïģί οÏħ", + "åĪ ļ", + "Ø® ÙĦ", + "ëłĩ ê²Į", + "ج د", + "Ġμ αÏĤ", + "Ġμα ÏĤ", + "áºŃ m", + "k ara", + "ka ra", + "kar a", + "ãĤ« ãĥ¼", + "Ġkter ou", + "ìĽ ¨", + "ÑĦи ÑĨи", + "oÄŁ raf", + "Ġна пÑĢи", + "Ġнап ÑĢи", + "ãģij ãģ©", + "Ġ éļ", + "Ġé ļ", + "ت باÙĦ", + "تب اÙĦ", + "ëŁ ½", + "ìĶ ¨", + "íĮĮ ìĿ¼", + "Ïĩ α", + "Ġuz ak", + "Ġd òng", + "Ġг олоÑģ", + "Ġгол оÑģ", + "Ïĥ ÏĦή", + "ÏĥÏĦ ή", + "ι λ", + "Ø· Ùģ", + "Ġê·¸ ëħĢ", + "ãĤ¿ ãĤ¤", + "ا ÙĨÚ¯", + "اÙĨ Ú¯", + "i nou", + "in ou", + "ino u", + "л он", + "ло н", + "à¹ĩ ม", + "Ġब द", + "Ġkon usunda", + "Ġkonusu nda", + "Ġkonus unda", + "Ġn âng", + "ãģ¾ãģĽ ãĤĵ", + "Ñĥ ÑİÑĤÑĮÑģÑı", + "ÑĥÑİ ÑĤÑĮÑģÑı", + "ÑĥÑİÑĤÑĮ ÑģÑı", + "åŁ ¹", + "ен ко", + "ìł ij", + "Ġ ÑĤов", + "ĠÑĤ ов", + "ĠÑĤо в", + "Ġt ÅĻeba", + "ĠtÅĻ eba", + "ز اÙĨ", + "زا ÙĨ", + "is yon", + "isy on", + "Ġ ген", + "Ġг ен", + "Ġге н", + "Ġ Pokud", + "ĠP okud", + "ĠPo kud", + "ĠPok ud", + "âĢĮ اÙĨد", + "âĢĮاÙĨ د", + "Ġг ÑĢÑĥд", + "ĠгÑĢÑĥ д", + "ĠгÑĢ Ñĥд", + "Ġ خرÛĮد", + "Ġخر ÛĮد", + "λ λα", + "λλ α", + "Ġp ÅĻÃŃm", + "ĠpÅĻ ÃŃm", + "ĠpÅĻÃŃ m", + "Ġ æ³ķ", + "Ġæ³ ķ", + "Ġز ÙĨدگÛĮ", + "ĠزÙĨد Ú¯ÛĮ", + "ạ p", + "Ġ íĬ¸", + "ĠíĬ ¸", + "ĠÄij á»Ļc", + "ĠÄijá»Ļ c", + "Ġê·¸ ë¦¬ê³ł", + "Ġ그리 ê³ł", + "н из", + "ни з", + "Ġ ÙĬÙĤ", + "ĠÙĬ ÙĤ", + "l aÅŁtır", + "la ÅŁtır", + "laÅŁ tır", + "ĠпÑĢав о", + "ĠпÑĢа во", + "Ñĥ Ñģк", + "ÑĥÑģ к", + "å° ½", + "Ġप ड", + "éĵ ģ", + "Ġ ì·¨", + "Ġì ·¨", + "ĠاÙĦ بÙĬ", + "ĠاÙĦب ÙĬ", + " ¸", + "ิม à¸ŀ", + "Ġs vÄĽ", + "Ġsv ÄĽ", + "Ġб ал", + "Ġба л", + "Ġm ôn", + "Ġmô n", + "ĠD ữ", + "ĠØ´ دÙĨ", + "Ġشد ÙĨ", + "Ġ ÙģÙĦ", + "ĠÙģ ÙĦ", + "Ġv znik", + "Ġvz nik", + "Ġch ứ", + "ĠÑģÑĤ ÑĢÑĥкÑĤÑĥ", + "ç¸ £", + "ĠH oa", + "ĠHo a", + "í ĮĢ", + "íĮ Ģ", + "Ġ ÑĢÑĸÑĪ", + "ĠÑĢ ÑĸÑĪ", + "Ġвоз дÑĥ", + "олÑĮ ÑĪ", + "οÏħ με", + "ู à¸Ļ", + "Ġп ÑĢид", + "ĠпÑĢ ид", + "ĠпÑĢи д", + "il mek", + "ilm ek", + "ĠاÙĦ ÙĤر", + "ĠاÙĦÙĤ ر", + "Į ĵ", + "Ġ uç", + "Ġu ç", + "å¨ ĺ", + "ec ektir", + "ecek tir", + "Ġ íħĮ", + "Ġí ħĮ", + "Ġíħ Į", + "Ġ εÏħ", + "Ġε Ïħ", + "Ġh òa", + "Ïģ Ïħ", + "ึà¸ģษ า", + "ĠÑĤеÑħ нолог", + "ú i", + "Ġbilg iler", + "Ġbilgi ler", + "Ġ ÙĤاÙĦ", + "ĠÙĤ اÙĦ", + "e dl", + "ed l", + "z nám", + "zn ám", + "á ly", + "ál y", + "åºĶ 该", + "алÑĮ ний", + "аÑĤ елÑı", + "аÑĤе лÑı", + "à¸Ļ วà¸Ļ", + "à¸Ļว à¸Ļ", + "Ġ ÐŁÐ¾Ð»", + "ĠÐŁ ол", + "ĠÐŁÐ¾ л", + "à¸ŀ à¸Ļ", + "ç¤ ¼", + "Ġt asar", + "Ġta sar", + "Ġtas ar", + "ĠÑĤ ой", + "ĠÑĤо й", + "Ġм еÑģÑı", + "Ġ иÑģк", + "Ġи Ñģк", + "ĠиÑģ к", + "Ġप द", + "γ ή", + "ا ختÙĩ", + "اخ تÙĩ", + "اخت Ùĩ", + "è¿Ļ éĩĮ", + "Ġch á»īnh", + "Ġchá»ī nh", + "ĠÙĤ سÙħ", + "Ùİ Ùĩ", + "er li", + "åĽ½ éĻħ", + "il iyor", + "ili yor", + "ĠØ´Ùĩر ستاÙĨ", + "Ġve lk", + "Ġvel k", + "åĽ º", + "Ġб ÑĸлÑĮÑĪ", + "ĠбÑĸлÑĮ ÑĪ", + "ãĥ¼ ãĥĹ", + "ãĥ¼ãĥ Ĺ", + "æŁ IJ", + "ì§ ľ", + "ĠÄĮ R", + "Ġд ек", + "Ġде к", + "ر بÛĮ", + "رب ÛĮ", + "о виÑĩ", + "ов иÑĩ", + "ови Ñĩ", + "Ġkap sam", + "Ġkaps am", + "ĠÙĦ Ø£", + "Ġ анÑĤи", + "Ġан ÑĤи", + "Ġ ücret", + "Ġü cret", + "ê² ¬", + "о ÑĢож", + "оÑĢ ож", + "оÑĢо ж", + "ÛĮ ÙħÛĮ", + "ÛĮÙħ ÛĮ", + "è© ķ", + "Ġ ë§ŀ", + "Ġë§ ŀ", + "Ġ ÑĢÑıд", + "ĠÑĢ Ñıд", + "ĠÑĢÑı д", + "ĠÙĩÙħ راÙĩ", + "â r", + "ا بت", + "اب ت", + "ĠиÑģполÑĮзов аÑĤÑĮ", + "ĠиÑģполÑĮз оваÑĤÑĮ", + "к Ñģ", + "âī ¡", + "Ġo lay", + "Ġol ay", + "Ġola y", + "èį ¯", + "Ġo prav", + "Ġop rav", + "Ġopr av", + "Ġدرب ارÙĩ", + "Ġ ä¸ŃåĽ½", + "Ġä¸Ń åĽ½", + "и лÑģÑı", + "ил ÑģÑı", + "åį «", + "ĠاÙĦ است", + "ĠاÙĦاس ت", + "ÙĪÛĮ ÛĮ", + "ÑĢ еÑĪ", + "ÑĢе ÑĪ", + "Ġ ÙĨس", + "ĠÙĨ س", + "ãĢĤ åľ¨", + "Ġ ÙĦØŃ", + "ĠÙĦ ØŃ", + "Ġko run", + "Ġkor un", + "ĠÙģ رد", + "ĠÙģر د", + "Ġо боÑĢ", + "Ġоб оÑĢ", + "Ġобо ÑĢ", + "е ÑĪÑĮ", + "еÑĪ ÑĮ", + "Ġpod mÃŃn", + "Ġ ë¬¸ìłľ", + "Ġ문 ìłľ", + "ĠdeÄŁer lendir", + "ä¸į åIJĮ", + "æ¶ ²", + "ा हर", + "ाह र", + "íļ į", + "à¥į à¤ł", + "à¥įठł", + "и ÑĤиÑģÑı", + "иÑĤи ÑģÑı", + "ا ÙĦع", + "اÙĦ ع", + "Ġd vÄĽ", + "Ġdv ÄĽ", + "ĠпеÑĢ ек", + "ĠпеÑĢе к", + "Ġ åħĥ", + "Ġåħ ĥ", + "Ġ aras", + "Ġa ras", + "Ġar as", + "Ġara s", + "Ġalt ında", + "Ġaltın da", + "Ġaltı nda", + "Ġв за", + "Ġвз а", + "æĴ ĥ", + "Ġmil yon", + "Ġ åѦ", + "ĠåŃ ¦", + "Ġв аÑĢи", + "ĠваÑĢ и", + "Ġва ÑĢи", + "ĠاÙĦع اÙĦÙħ", + "' Ñı", + "ÙĪ ÛĮس", + "ÙĪÛĮ س", + "Ġмож ÑĥÑĤÑĮ", + "ãģij ãģŁ", + "ìĿ´ ìĹĪëĭ¤", + "ìĿ´ìĹĪ ëĭ¤", + "ο Ïįν", + "οÏį ν", + "Ġ éŁ", + "Ġé Ł", + "Ġpost up", + "Ġpo stup", + "ü yük", + "üy ük", + "åĪ Ĭ", + "Ġ ÙĤب", + "ĠÙĤ ب", + "Ġاص ÙĦÛĮ", + "ĠاصÙĦ ÛĮ", + "ÙĪ Ùī", + "Ġrep ublik", + "Ġ ÐĻ", + "ĠÐ Ļ", + "ģ m", + "Ġб ел", + "ा -", + "Ñģ кое", + "Ñģк ое", + "Ñģко е", + "Ġcu á»iji", + "è² ·", + "ี ยว", + "ีย ว", + "éĩį è¦ģ", + "ู ม", + "ĠÑĢозвиÑĤ кÑĥ", + "Ġ ë°±", + "Ġë° ±", + "åĥ ¹", + "Ġ åīį", + "Ġåī į", + "à¹Ħ à¸ĭ", + "ãĢĮ âĢ¦âĢ¦", + "à¥Į त", + "Ú© رد", + "کر د", + "Ġza ÅĻÃŃzenÃŃ", + "ส าร", + "Ġle tech", + "Ġlet ech", + "l emek", + "le mek", + "lem ek", + "leme k", + "人 ãģ®", + "Ġd ưỡng", + "ĠdÆ°á» ¡ng", + "ت ÙĤ", + "Ġ åĵ", + "Ġå ĵ", + "åħ »", + "Ġ ëıħ", + "Ġëı ħ", + "Ġ 루", + "Ġë £¨", + "Ġë£ ¨", + "Ø° ÙĦÙĥ", + "Ġ ìĿ¼ë³¸", + "ĠìĿ¼ 본", + "ĠAy rıca", + "ĠÙ¾ Úĺ", + "is inin", + "isi nin", + "isin in", + "isini n", + "Ġìĭ ¶", + "Ú¯ ÛĮرÛĮ", + "Ú¯ÛĮ رÛĮ", + "Ú¯ÛĮر ÛĮ", + "خص ص", + "³ ç´°", + "ĠмаÑĤеÑĢи ал", + "k ové", + "ko vé", + "kov é", + "ë§ ī", + "ãģķ ãģĽ", + "ĠÑĤак ой", + "ĠÑĤа кой", + "Ġtr áºŃn", + "Ġ лиÑĨ", + "Ġл иÑĨ", + "Ġли ÑĨ", + "Ġ åĽĽ", + "ĠåĽ Ľ", + "Ñĩ Ñĥ", + "Ġ æ°´", + "Ġæ° ´", + "Ġdo lay", + "Ġdol ay", + "å½ ¹", + "ÑĢ ива", + "ÑĢи ва", + "ÑĢив а", + "Ġг ÑĢÑĥпп", + "ĠгÑĢÑĥ пп", + "ĠгÑĢÑĥп п", + "Ġmüm kün", + "л ена", + "лен а", + "ле на", + "ëĿ¼ ëĬĶ", + "åĪ© çĶ¨", + "Ġr ahat", + "Ġra hat", + "ï¼ıï¼ı ï¼ıï¼ı", + "æģ ©", + "Ġ íķŃ", + "Ġíķ Ń", + "Ġ íĴ", + "Ġí Ĵ", + "Ġ ìĬ¹", + "ĠìĬ ¹", + "Ġch ân", + "Ġ ãĤ¨", + "ĠãĤ ¨", + "Ġжиз ни", + "çĸ ij", + "ãĢĤ ä»ĸ", + "리 ìĬ¤", + "Ñĩ иÑħ", + "Ñĩи Ñħ", + "Ġ é¦ĸ", + "Ġé¦ ĸ", + "ÄĽ r", + "Ġй омÑĥ", + "Ġth áºŃt", + "Ġìķ ŀ", + "c ih", + "ci h", + "س ÙĦاÙħ", + "سÙĦ اÙħ", + "Ġs iyas", + "Ġsi yas", + "Ġ íĸĪ", + "Ġíĸ Ī", + "Ġк оÑĪ", + "Ġко ÑĪ", + "Ïĥ αν", + "Ïĥα ν", + "ÙĬ اÙĨ", + "ÙĬا ÙĨ", + "Ġd ö", + "ाह त", + "о ÑĢод", + "оÑĢ од", + "оÑĢо д", + "о ваÑı", + "ов аÑı", + "ова Ñı", + "ÑĨи оналÑĮ", + "ÑĨион алÑĮ", + "ائ Ùĩ", + "Ġà¤ĸ र", + "ĠÄij á»Ŀi", + "ĠÄijá» Ŀi", + "ä¸į ä¼ļ", + "Ùĥ ز", + "ี à¸Ħวาม", + "ีà¸Ħ วาม", + "l ıyor", + "lı yor", + "à¥ĭ द", + "Ġ 충", + "Ġì¶ ©", + "Ġc á»ij", + "à¹Ĥ à¸ķ", + "Ġε ÏĢί", + "ĠεÏĢ ί", + "ĠпÑĢ Ñıм", + "æ³ °", + "ا ÙĦØ©", + "اÙĦ Ø©", + "j ÃŃm", + "jÃŃ m", + "Ġ би", + "Ġб и", + "Å¡ em", + "Å¡e m", + "ĠH á»Ļi", + "à¸Ħ รà¸ĩ", + "à¸Ħร à¸ĩ", + "Ġh uyá»ĩn", + "Ġhuy á»ĩn", + "ç¯ Ģ", + "l iÅ¡", + "li Å¡", + "ĠجÙĩ ت", + "ç§ ĭ", + "ĠÑĨ ел", + "ĠÑĨе л", + "Ġ лÑĸÑĤ", + "Ġл ÑĸÑĤ", + "ĠлÑĸ ÑĤ", + "Ġ æ·", + "Ġæ ·", + "ж Ñĥ", + "ãģĪ ãģŁ", + "ë´ ī", + "Ġ 머", + "Ġë¨ ¸", + "åł´ åIJĪ", + "éĿ ©", + "ãĥª ãĥ³", + "ег да", + "Ġbe nim", + "Ġben im", + "Ġbeni m", + "çĽ Ł", + "ãģ® ä¸Ń", + "åĿ IJ", + "ĠÃľniversit esi", + "Ġko ÅŁ", + "Ġп ож", + "Ġпо ж", + "iá»ĩ p", + "ĠpÅĻ ij", + "ĠpÅĻi j", + "ëŀ ¨", + "ĠاÙĦ أس", + "ĠاÙĦØ£ س", + "ár nÃŃ", + "iế m", + "Ġ èĬ", + "Ġè Ĭ", + "Ġ δε", + "Ġδ ε", + "å¨ ±ä¹IJ", + "Ġ Æ°u", + "Ġ çĦ¡", + "ĠçĦ ¡", + "Ġг ÑĢи", + "ĠгÑĢ и", + "Ġпо ÑįÑĤомÑĥ", + "ĠÄij óng", + "ĠÄijó ng", + "ĠÄijón g", + "ج اÙĨ", + "جا ÙĨ", + "Ġngh iên", + "Ġnghi ên", + "Ġا ÙĦاÙĨ", + "ĠاÙĦ اÙĨ", + "ÑĪ ей", + "ÑĪе й", + "à¹ģ รà¸ģ", + "ĠÚĨ Ùĩار", + "ĠÚĨÙĩ ار", + "Ñİ Ñīий", + "ÑİÑī ий", + "ÏĮ Ïģ", + "Ġ رÙħ", + "Ġر Ùħ", + "ì² ł", + "Ġدست گاÙĩ", + "Ġ دÛĮد", + "Ġد ÛĮد", + "ĠدÛĮ د", + "ãĥĥãĤ¯ ãĤ¹", + "ा मन", + "ाम न", + "ĠTh Ãłnh", + "Ġth ẩm", + "Ġc Ãłng", + "ĠcÃł ng", + "Ġdön Ã¼ÅŁ", + "ĠпÑĢи гоÑĤов", + "ĠпÑĢиг оÑĤов", + "Ġk iÅŁi", + "Ġki ÅŁi", + "ĠkiÅŁ i", + "ØŃ Øª", + "Ġ ë²ķ", + "Ġë² ķ", + "é£ Ľ", + "Ġit ibar", + "Ġг лав", + "Ġгла в", + "Ġor tam", + "Ġort am", + "Ġorta m", + "Ġm add", + "Ġma dd", + "Ġmad d", + "Ġ оÑģÑĤав", + "Ġо ÑģÑĤав", + "ĠоÑģÑĤ ав", + "ĠÙģÙĪ تباÙĦ", + "ĠÙģÙĪت باÙĦ", + "Ġan laÅŁ", + "l eyen", + "le yen", + "ley en", + "ç ´Ģ", + "ç´ Ģ", + "Ġ é£", + "Ġé £", + "/ lo", + "/l o", + "Ùħ ÙĪÙĦ", + "ÙħÙĪ ÙĦ", + "Ġд ÑĥÑħ", + "ĠдÑĥ Ñħ", + "Ġ ÙĦب", + "ĠÙĦ ب", + "л ег", + "ле г", + "Ġgö nder", + "Ġgön der", + "ÙĬ Ø·", + "Ġ สำ", + "Ġส ำ", + "Ġv ás", + "Ġvá s", + "ĠÐŁ еÑĤ", + "а лоÑģÑı", + "ало ÑģÑı", + "ì ¿ł", + "ì¿ ł", + "éĻ ½", + "åĸ ®", + "èĪ ŀ", + "н Ñĥл", + "нÑĥ л", + "ÄŁ ine", + "ÄŁi ne", + "ÄŁin e", + "Ġ ghi", + "Ġg hi", + "Ġgh i", + "Ġ çµ", + "Ġç µ", + "ÙĬ ÙĨÙĬ", + "ÙĬÙĨ ÙĬ", + "Å ½", + "Ġhük üm", + "ĠD Ä±ÅŁ", + "ĠÎŃ Ïĩει", + "ĠÎŃÏĩ ει", + "Ġ Ñģка", + "ĠÑģ ка", + "ĠÑģк а", + "Ġ ÑĤим", + "ĠÑĤ им", + "ĠÑĤи м", + "Ġп оÑģÑĤав", + "Ġпо ÑģÑĤав", + "ĠпоÑģÑĤ ав", + "à¸Ļ าà¸Ķ", + "à¸Ļา à¸Ķ", + "d ül", + "dü l", + "Ġd va", + "Ġdv a", + "Ġ à¸Ħà¸Ļ", + "Ġà¸Ħ à¸Ļ", + "Ġchá»ĭ u", + "Ġ èı", + "Ġè ı", + "à¹ģส à¸Ķà¸ĩ", + "æ° £", + "Ġ íĪ¬", + "Ġí Ī¬", + "Ġ Ñĩин", + "ĠÑĩ ин", + "ĠÑĩи н", + "ãģ« ãģĬ", + "ен ноÑģÑĤи", + "енно ÑģÑĤи", + "ÐIJ ÐĿ", + "Ġh emen", + "Ġhe men", + "Ġhem en", + "Ġ ait", + "Ġa it", + "Ġai t", + "Ġ à¤Ĭ", + "ĠठĬ", + "æī §", + "ĠA BD", + "ĠAB D", + "Ġκα θ", + "æ´ Ľ", + "ãĤ¢ ãĥ«", + "à¹ī าà¸Ĺ", + "à¹īา à¸Ĺ", + "ÅĻ ez", + "ÅĻe z", + "d ÄĽji", + "dÄĽ ji", + "Ġt á»ĭch", + "еннÑı м", + "Ġв ÑģÑĤанов", + "ĠвÑģÑĤ анов", + "ĠاÙĦ بر", + "ĠاÙĦب ر", + "ÙĪÙħ تر", + "k ách", + "ká ch", + "åº Ĭ", + "л Ñĥж", + "лÑĥ ж", + "Ġ تد", + "Ġت د", + "ä¸ ½", + "ر Ø®", + "à¤Ĥ à¤ĸ", + "èĩªå·± çļĦ", + "å®ĺ ç½ij", + "- Ñı", + "à¹ĩ à¸Ķ", + "èĦ ļ", + "Ġ çķ", + "Ġç ķ", + "Ġiçer isinde", + "Ġb iá»ĥn", + "Ġbi á»ĥn", + "Ġ à¸ģล", + "Ġà¸ģ ล", + "Ġy aÄŁ", + "Ġya ÄŁ", + "Ġ æ´", + "Ġæ ´", + "Ġ бÑĢа", + "Ġб ÑĢа", + "ع ار", + "عا ر", + "æĪ °", + "à¥Ģ Ċ", + "Ġlé Äį", + "a ların", + "alar ın", + "aları n", + "Ġ Îĸ", + "ĠÎ ĸ", + "а ÑĢÑı", + "аÑĢ Ñı", + "ãģĿ ãĤĵãģª", + "ÅĪ uje", + "ãĢĢ Ġ", + "ĠsaÄŁ lık", + "Ġдо ÑģлÑĸд", + "ĠдоÑģ лÑĸд", + "ÃŃ Å¡", + "à¥įर श", + "à¥ī न", + "Ġgi ả", + "بÙĪ اسطة", + "å® ģ", + "Ġs oud", + "Ġso ud", + "Ġsou d", + "Ġк ÑĤо", + "e sel", + "es el", + "ese l", + "Ġп ам", + "Ġпа м", + "Ġ ÂłĠ", + "ĠÂł Ġ", + "ĠÄį lov", + "æ· ·", + "ห à¸į", + "ĠOs man", + "æ ¦Ĥ", + "æ¦ Ĥ", + "Ġ åĭ", + "Ġå ĭ", + "ï¼Į åħ¶", + "Ġ à¸Ħร", + "Ġà¸Ħ ร", + "Ġmá» ģm", + "Ġ ÑģоÑĢ", + "ĠÑģ оÑĢ", + "ĠÑģо ÑĢ", + "çĨ ±", + "Ġthu ê", + "ر ج", + "à¹Ĥล à¸ģ", + "Ġ íķĺê³ł", + "Ġíķĺ ê³ł", + "ÙĬ دة", + "ÙĬد Ø©", + "ĠaÅŁ aģı", + "Ġk á»ĥ", + "Ġká» ĥ", + "à¸ķ ำ", + "λ ει", + "λε ι", + "çļĦ è¯Ŀ", + "æ± ł", + "ĠÑģ ÑĤен", + "ĠÑģÑĤ ен", + "Ġin cel", + "Ġinc el", + "Ġince l", + "åº Ń", + "ÑĤ оÑĩ", + "ÑĤо Ñĩ", + "Ġprob lém", + "Ġprobl ém", + "ÏĦ Ïĥ", + "à¹ī à¸Ńà¸Ļ", + "à¹īà¸Ń à¸Ļ", + "ë³´ ëĭ¤", + "Ġà¤Ĩ à¤Ĺ", + "ν αÏĤ", + "να ÏĤ", + "ãģĦ ãĤĭ", + "Ġd ục", + "Ġdụ c", + "Ġtoho to", + "Ġtoh oto", + "ëIJĺ ìĹĪëĭ¤", + "ëIJĺìĹĪ ëĭ¤", + "T J", + "Ġви знаÑĩ", + "ĠB unun", + "ĠBu nun", + "ĠBun un", + "ĠBunu n", + "à¤Ĥ बर", + "à¤Ĥब र", + "ĠÙĩÙħÚĨ ÙĨÛĮÙĨ", + "Ġб Ñİдж", + "Ñĥ ÑĢг", + "ÑĥÑĢ г", + "äº ®", + "Ġμε γ", + "Ġtop lum", + "Ġtopl um", + "ãģ£ ãģ", + "о ÑĤо", + "оÑĤ о", + ": |", + "éĿŀ 常", + "ิ à¸Ĺà¸ĺ", + "ิà¸Ĺ à¸ĺ", + "éģ ķ", + "âĢĮÙ¾ دÛĮ", + "Ġз ÑĢоб", + "à¹Į à¸Ķ", + "Ġдолж ен", + "Ġдол жен", + "ĠmÄĽ sta", + "ĠmÄĽst a", + "ÛĮ Ø´Ùĩ", + "ÛĮØ´ Ùĩ", + "v atel", + "va tel", + "vat el", + "Ġprov oz", + "Ġ inan", + "Ġin an", + "Ġi nan", + "à¤Ĥ प", + "Ġpar ç", + "ÑĢ аÑģÑĤ", + "ÑĢа ÑģÑĤ", + "ÑĢаÑģ ÑĤ", + "üm ü", + "Ġgi á»ijng", + "Ġgiá» ijng", + "æ¬ ¢", + "Ø« ÙĬر", + "ĠB akan", + "ĠBa kan", + "ĠBak an", + "Ġ âĪ¨", + "ĠâĪ ¨", + "Ġ باÙĨ", + "Ġب اÙĨ", + "Ġبا ÙĨ", + "Û± Û¸", + "Û±Û ¸", + "ãĤĤ ãģĨ", + "land ı", + "lan dı", + "Ġyen iden", + "Ġyeni den", + "ÑĨ енÑĤ", + "ÑĨе нÑĤ", + "ÑĨен ÑĤ", + "Ġде ÑıÑĤелÑĮ", + "Ð ©", + "Ġ rov", + "Ġr ov", + "Ġro v", + "å®Į åħ¨", + "ĠK ỳ", + "s lu", + "sl u", + "Ġl ấy", + "é¤ IJ", + "ĠÑĩ олов", + "ä¼ Ŀ", + "ĠbaÅŁ v", + "å° Ī", + "ê³ ¡", + "ãĢģ ãģĿãĤĮ", + "Ġ PÅĻÃŃ", + "ĠP ÅĻÃŃ", + "ĠPÅĻ ÃŃ", + "д ем", + "де м", + "ĠпÑĢо ек", + "ร à¸ĸ", + "建 设", + "Ġмож лив", + "æ® º", + "ãģ¡ãĤĥ ãĤĵ", + "æķ ij", + "ĠÄį ty", + "ĠÄįt y", + "é¦ Ĩ", + "о ÑĢÑĥ", + "оÑĢ Ñĥ", + "Ġ æĦ", + "Ġæ Ħ", + "Ġk ÃŃch", + "λ οÏħ", + "λο Ïħ", + "ãģĦ ãģ¤", + "Ġc Äĥn", + "ĠcÄĥ n", + "Ạµ", + "Ġel de", + "éº »", + "ÄŁ e", + "Ġdo bÄĽ", + "Ġdob ÄĽ", + "ा यर", + "ाय र", + "Ġ ãĥı", + "Ġãĥ ı", + "н ен", + "не н", + "Ġmůže te", + "Ġmůž ete", + "Ġна ÑģÑĤÑĥп", + "ĠнаÑģÑĤ Ñĥп", + "ìĭľ ê°Ħ", + "ĠÑģим пÑĤом", + "Ġ ÏĥÏį", + "ĠÏĥ Ïį", + "Ġ سÙĦ", + "Ġس ÙĦ", + "ε κ", + "ร à¸ĵ", + "á te", + "át e", + "ek ler", + "ekl er", + "ĠвÑĢем ени", + "ĠвÑĢемен и", + "âĢĮ ÙĩاÛĮÛĮ", + "âĢĮÙĩاÛĮ ÛĮ", + "ãģĬ ãĤĬ", + "ж и", + "Ñĭ ваеÑĤÑģÑı", + "Ñĭв аеÑĤÑģÑı", + "Ñĭва еÑĤÑģÑı", + "ÑĭваеÑĤ ÑģÑı", + "Ùħ اÙĨÛĮ", + "ÙħاÙĨ ÛĮ", + "Ùħا ÙĨÛĮ", + "à¸ķ ล", + "Ġ صد", + "Ġص د", + "Ġ вол", + "Ġв ол", + "Ġво л", + "ìĬ Ī", + "ĠÙĥ Ùħا", + "ĠÙĥÙħ ا", + "Ġnh ằm", + "èģ ¯", + "ov acÃŃ", + "ova cÃŃ", + "Ġë§Į ëĵ¤", + "ÙĪ Ù¾", + "Ġ ë¸Į", + "Ġë¸ Į", + "ب ÙĬØ©", + "بÙĬ Ø©", + "u yla", + "uy la", + "л ено", + "лен о", + "ле но", + "èĮ ¶", + "ÑĢ ей", + "ÑĢе й", + "Ġk li", + "Ġkl i", + "Ġüzer inden", + "Ġüzerinde n", + "н еÑĤ", + "не ÑĤ", + "r aÄį", + "ra Äį", + "ĠпÑĢа ÑĨÑİ", + "Ġed iyor", + "Ġedi yor", + "ãģı ãģł", + "Ġ Äįast", + "ĠÄį ast", + "ĠÄįas t", + "i yi", + "iy i", + "éĬ Ģ", + "Ġd ù", + "Ùİ Ø¨", + "ÙĪ ÙĬØ©", + "ÙĪÙĬ Ø©", + "å ª", + "Ġs ınıf", + "Ġsın ıf", + "Ġس اعت", + "Ġ ราย", + "Ġร าย", + "Ġза Ñıв", + "Ġg ặp", + "à¸Ń ว", + "ĠØ« Ùħ", + "ĠZ á", + "ĠвÑĸд к", + "i zik", + "iz ik", + "izi k", + "Ġm ón", + "Ġmó n", + "Ġпов ÑĭÑĪ", + "Ġ à¸ļาà¸Ĺ", + "Ġà¸ļ าà¸Ĺ", + "ĠÑģ ил", + "ĠÑģи л", + "æĥħ åł±", + "Âł t", + "ĠÐľ оÑģк", + "Ġê²ĥ ìĿ´ëĭ¤", + "Ġê²ĥìĿ´ ëĭ¤", + "Ġ çIJ", + "Ġç IJ", + "ĠÙħدÛĮر ÛĮت", + "ов оÑĹ", + "ово ÑĹ", + "Τ ο", + "çº ª", + "нÑĸ ÑĪе", + "нÑĸÑĪ е", + "Ġ ÐĽÑİ", + "ĠÐĽ Ñİ", + "η Ïĥη", + "ĠÙĨسب ت", + "ĠÙĨس بت", + "m uz", + "mu z", + "ร ว", + "ãĢģ ãģĤ", + "Ġбол ез", + "Ġtr ách", + "ãĥ ¦", + "à¹Ģà¸Ĥ า", + "Ġê·¸ ëĬĶ", + "ب رÛĮ", + "بر ÛĮ", + "æł ª", + "ëĿ¼ ìĿ´", + "Ġ íĮ¨", + "Ġí Į¨", + "ĠíĮ ¨", + "íĬ ¹", + "ľ ´", + "ि ड", + "िठ¡", + "ÑĢо ме", + "ÑĢом е", + "è® ²", + "Ġ ÑĤон", + "ĠÑĤ он", + "ĠÑĤо н", + "Ñģ Ñĸ", + "Ġ ç®", + "Ġç ®", + "åıĸ ãĤĬ", + "ì° °", + "Ġ ÙĪÙĦÛĮ", + "ĠÙĪ ÙĦÛĮ", + "ĠÙĪÙĦ ÛĮ", + "Ġس Ø·ØŃ", + "èı ľ", + "н ами", + "на ми", + "нам и", + "T ürk", + "åİ Ĥ", + "Ġf inan", + "Ġfin an", + "Ġfi nan", + "ãģ« ãģªãĤĭ", + "ãģ«ãģª ãĤĭ", + "Ġ oby", + "Ġo by", + "Ġob y", + "T rong", + "Tr ong", + "Tro ng", + "Ġv yp", + "Ġvy p", + "à¥ģ ड", + "à¥ģठ¡", + "ìŀIJ ê°Ģ", + "Ġ æīĢ", + "Ġæī Ģ", + "ÐĹ Ð°", + "um lu", + "uml u", + "ëĵ Ŀ", + "Ġм енÑĸ", + "Ġмен Ñĸ", + "ол ниÑĤелÑĮ", + "олн иÑĤелÑĮ", + "Ġú Äįin", + "ĠúÄį in", + "Ġb unun", + "Ġbu nun", + "Ġbun un", + "Ġbunu n", + "ĠÐłÐ¾Ñģ Ñģии", + "в ÑģÑı", + "Ġн Ñĸж", + "ĠнÑĸ ж", + "ิà¸Ķ à¸ķ", + "غ Ø©", + "Ä ļ", + "Ġ سÙħ", + "Ġس Ùħ", + "Ġ Ðĺз", + "ĠÐĺ з", + "à¥ĩ प", + "à¥ĩठª", + "大 çļĦ", + "ì¹ ľ", + "Ġ иÑģÑĤ", + "Ġи ÑģÑĤ", + "ĠиÑģ ÑĤ", + "Ġкон ÑģÑĤÑĢÑĥк", + "Û± Û²", + "Û±Û ²", + "â l", + "Ġ ÑĪиÑĢ", + "ĠÑĪ иÑĢ", + "ĠÑĪи ÑĢ", + "ï¼ ł", + "Ġar tık", + "Ġart ık", + "æŁ ĵ", + "ä¹ ¡", + "ÃŃ te", + "ÃŃt e", + "ĠNh áºŃt", + "ĠÎĶ η", + "Ġöl ç", + "êµ ´", + "о Ñıн", + "оÑı н", + "ëĵ± ë¡Ŀ", + "Ġng ân", + "Ġ бÑĥдÑĮ", + "ĠбÑĥд ÑĮ", + "ÎŁ Ρ", + "ÎŁÎ ¡", + "ì ´", + "Ùħ ÙĪد", + "ÙħÙĪ د", + "ν ον", + "νο ν", + "Îķ ÎĿ", + "çij ŀ", + "ĠÅĻ ek", + "ĠÅĻe k", + "- âĢIJ", + "ĠM erk", + "ĠMe rk", + "ĠMer k", + "Ġоп ÑĢедел", + "ĠопÑĢед ел", + "Ïģ ιν", + "Ïģι ν", + "л аб", + "ла б", + "ëĦ¤ ìļĶ", + "Ġб лиз", + "Ġбл из", + "Ġбли з", + "Ġph á»iji", + "Ġphá»ij i", + "Ġдолж нÑĭ", + "ĠÑį кÑģп", + "ĠÑįк Ñģп", + "à¸ļ à¸Ĺ", + "à¸Ľà¸£à¸° ส", + "ĠÙ¾Úĺ ÙĪÙĩ", + "Ġ íķľëĭ¤", + "Ġíķľ ëĭ¤", + "ÏĦ οÏį", + "ÏĦο Ïį", + "Ùĩ ÙĨ", + "Ġд од", + "Ġдо д", + "Ġk ayı", + "Ġka yı", + "Ġkay ı", + "Ł ģ", + "Ñģ иÑı", + "Ñģи Ñı", + "à¤Ĥ तर", + "à¤Ĥत र", + "Ġpod nik", + "e vi", + "ev i", + "ÛĮ ÛĮر", + "Т ак", + "Та к", + "к оп", + "ко п", + "н аÑħ", + "на Ñħ", + "ا سÙĩ", + "اس Ùĩ", + "à¸ĵ à¸ij", + "Ġk há", + "Ġkh á", + "Ġy arat", + "Ġya rat", + "Ġyar at", + "ĠاÛĮÙĨ Ú©Ùĩ", + "Ø· بÙĬ", + "طب ÙĬ", + "Ġs ır", + "Ġsı r", + "ĠØ¢ÙħرÛĮÚ© ا", + "Ġ बल", + "Ġब ल", + "k aç", + "ka ç", + "Ġ åı¯", + "Ġåı ¯", + "Ġ åħ¶", + "Ġåħ ¶", + ". ***", + ".* **", + "л ÑĸннÑı", + "лÑĸн нÑı", + "ä¹ ±", + "o q", + "æ ¦", + "ãĤ ¼", + "Ġf ır", + "Ġk ê", + "Ġìłľ ê³µ", + "Ġ Ïĥη", + "ĠÏĥ η", + "а нÑĭ", + "ан Ñĭ", + "н ова", + "но ва", + "нов а", + "à¸Ĭ าย", + "ĠØ· ÙĪÙĦ", + "à¥Ī य", + "Ġ ì¹ľ", + "Ġì¹ ľ", + "ìĤ ´", + "Ġп Ñĸв", + "Ġlu áºŃn", + "Ġà¤ī म", + "åº ĥ", + "à¹ĩ à¸Ńà¸ķ", + "Ġس اÛĮت", + "л Ñıн", + "лÑı н", + "ĠíķĦ ìļĶ", + "Ġgör ül", + "ĠÑĤеÑĢ иÑĤоÑĢ", + "ĠÙĨ ØŃ", + "е ма", + "ем а", + "Ġmn oh", + "Ġ ãģ¯", + "غ ÙĬر", + "ĠÑģдел аÑĤÑĮ", + "ç ģµ", + "çģ µ", + "Ġ ÐłÐ°Ð·", + "ĠÐł аз", + "ĠÐłÐ° з", + "Ġг еÑĢ", + "Ġге ÑĢ", + "γ μα", + "íķĺ ë©´", + "ĠdeÄŁ iÅŁtir", + "ĠdeÄŁiÅŁ tir", + "ãĥ³ ãĥĨ", + "ãĥ³ãĥ Ĩ", + "å¸Ĥ åľº", + "个 人", + "ìĥ Ī", + "ì¹ ¨", + "èī º", + "ÙĤ ت", + "ĠÚ¯ رÙģتÙĩ", + "ĠگرÙģ تÙĩ", + "Ġگر ÙģتÙĩ", + "ĠگرÙģت Ùĩ", + "Ġ çİĭ", + "Ġçİ ĭ", + "ĠاÙĦ Ø°Ùĩ", + "ĠاÙĦØ° Ùĩ", + "λ Ïħ", + "à¤ľ र", + "Ġв ним", + "ë¦ Ń", + "ิ à¸Ĺ", + "Ġ شاÙĩ", + "ĠØ´ اÙĩ", + "æĬķ èµĦ", + "æĿIJ æĸĻ", + "ĠÙĨ Ùģ", + "èª ¬", + "æĬ Ĺ", + "Ġ аб", + "Ġа б", + "iy eti", + "iye ti", + "iyet i", + "ç¾ ħ", + "ÑĢ Ñĸз", + "ÑĢÑĸ з", + "Ġ สม", + "Ġส ม", + "i cÃŃ", + "ic ÃŃ", + "к ÑĥваннÑı", + "кÑĥ ваннÑı", + "Ġ ìķ¼", + "Ġìķ ¼", + "Ġ è½", + "Ġè ½", + "âĢ «", + "Ġ διά", + "Ġδ ιά", + "Ġδι ά", + "Ġд еп", + "Ġде п", + "ãĥ¼ ãĤ¿", + "ãĥ¼ãĤ ¿", + "Ġob jev", + "Ġobj ev", + "mé na", + "Ġbe lg", + "Ġbel g", + "Ġ æ¥", + "Ġæ ¥", + "Ġn á»ģn", + "Ġг ол", + "Ġpost av", + "Ġpo stav", + "Ġت Ú©", + "Ð «", + "ĠпÑĸд ÑĤ", + "ĠоÑĤ ноÑĪ", + "Ġп ÑĢив", + "ĠпÑĢ ив", + "ĠпÑĢи в", + "Ġ åŁº", + "ĠåŁ º", + "Ġн али", + "Ġна ли", + "Ġнал и", + "ů ž", + "Ġ yat", + "Ġy at", + "Ġya t", + "ÅŁ a", + "ÏĦ ήÏĤ", + "ÏĦή ÏĤ", + "ÑĨ ем", + "ÑĨе м", + "次 æķ°", + "Ġb Ãł", + "ÙĪ Ùĥ", + "Ġ íĶĦë¡ľ", + "ĠíĶĦ ë¡ľ", + "ĠPh áp", + "Ġ êµ°", + "Ġêµ °", + "è³ ŀ", + "Ġoch ran", + "Ġgere kir", + "Ġgerek ir", + "Ġ íļ", + "Ġí ļ", + "à¸ļ ล", + "á me", + "ám e", + "Ġ بÛĮر", + "Ġب ÛĮر", + "ĠبÛĮ ر", + "à¸Ĥ าย", + "ов аний", + "ова ний", + "овани й", + "ован ий", + "Ġmož né", + "âĶģâĶģâĶģâĶģ âĶģâĶģâĶģâĶģ", + "á lu", + "ál u", + "н ÑĤ", + "¦ æĥħ", + "à¹ģ รม", + "ĠÑĦ Ñĸн", + "ĠÄ° ç", + "à¹Ī à¸Ńย", + "à¹Īà¸Ń ย", + "ê² ¨", + "Ġh edef", + "Ġhe def", + "Ġhed ef", + "ĠاÙĦ ÙħØ´", + "ĠاÙĦÙħ Ø´", + "à¹ī าม", + "à¹īา ม", + "å¯ Ħ", + "Ġ ëĭµ", + "Ġëĭ µ", + "Ġ ô", + "Ġà ´", + "ла ÑģÑı", + "лаÑģ Ñı", + "Ä° T", + "à¸Ķ ำ", + "Ġher hangi", + "Ġger eken", + "Ġgere ken", + "Ġgerek en", + "е ÑĢеж", + "еÑĢ еж", + "еÑĢе ж", + "ÙĪ Ø©", + "ĠpÅĻ est", + "ĠpÅĻes t", + "ĠpÅĻe st", + "ç§ij åѦ", + "оÑģÑĤ аÑĤ", + "ün den", + "ünd en", + "ünde n", + "åĮħ æĭ¬", + "Ġد Ùĩد", + "ĠدÙĩ د", + "ÑĪ иÑģÑĮ", + "ÑĪи ÑģÑĮ", + "н еÑĢ", + "не ÑĢ", + "Ñĸ дом", + "Ñĸд ом", + "Ġb iç", + "Ġbi ç", + "ìĭ Ń", + "Ġhod not", + "Ġze mÄĽ", + "Ġzem ÄĽ", + "ĠاÛĮ جاد", + "Ġy ine", + "Ġyi ne", + "ि ण", + "िठ£", + "ĠاÙĦ بÙĦ", + "ĠاÙĦب ÙĦ", + "ĠN ÄĽ", + "Ġpol ož", + "Ġpo lož", + "Ġpolo ž", + "éĺħ 读", + "å¸ ģ", + "å¼ Ł", + "ξ ε", + "Ġ Má»Ļt", + "ĠM á»Ļt", + "ç £", + "Û±Û³ Û¹", + "ĠØ¢ ز", + "ãģ ŀ", + "Ġм еÑħ", + "ย ม", + "Ġ æ¨", + "Ġæ ¨", + "Ġo tur", + "Ġot ur", + "Ġd ầu", + "Ġ ëĭ¤ìļ´", + "Ġëĭ¤ ìļ´", + "çĮ «", + "Ġ Có", + "ĠC ó", + "Ġli dÃŃ", + "Ġlid ÃŃ", + "Ġark adaÅŁ", + "Ġα λλά", + "é¡ »", + "ĠÙĩ ÙħÛĮÙĨ", + "ĠÙĩÙħ ÛĮÙĨ", + "è» ¢", + "Ġ âĹĭ", + "ĠâĹ ĭ", + "ëıĦ ë¡Ŀ", + " ĥ", + "âĢĮØ´ دÙĩ", + "âĢĮشد Ùĩ", + "ĠØŃ ÙĬØ«", + "ĠØŃÙĬ Ø«", + "Ġnh óm", + "Ïĥ Ïĩ", + "ĠÑĤÑĢан Ñģп", + "ĠÑĤÑĢанÑģ п", + "Ġtan ım", + "Ġtanı m", + "ç´ į", + "Ġba his", + "Ġbah is", + "ä¸ ¾", + "Ġин ÑĦоÑĢма", + "ĠинÑĦоÑĢм а", + "ĠÑģ лож", + "ĠÑģл ож", + "ĠÑģло ж", + "Ġk raj", + "Ġkr aj", + "Ġkra j", + "Ġ ØŃÙĦ", + "ĠØŃ ÙĦ", + "Ġ ãĥĸ", + "Ġãĥ ĸ", + "ĠÙĨ ÙĤÙĦ", + "ĠÙĨÙĤ ÙĦ", + "Ġ ÐłÐ¾Ð·", + "ĠÐł оз", + "ĠÎij Ïħ", + "lar dı", + "ĠÙ¾ اس", + "Ġپا س", + "Ġ ìĭĿ", + "Ġìĭ Ŀ", + "ĠìłĦìļ© ë©´ìłģ", + "ĠاÙĦ سÙĬ", + "ĠاÙĦس ÙĬ", + "با شد", + "باش د", + "ศ าสà¸ķร", + "Ġk öy", + "Ġkö y", + "Ġ rok", + "Ġr ok", + "Ġro k", + "Ġ 죽", + "Ġì £½", + "Ġì£ ½", + "ĠÑģ ог", + "ĠÑģо г", + "Ġch ú", + "éĺ ª", + "ĠÄįást i", + "ĠÄįá sti", + "Ġз веÑĢ", + "Ġзв еÑĢ", + "Ġ низ", + "Ġн из", + "Ġни з", + "ĠÃ¶ÄŁ ret", + "Ġ ãĥİ", + "Ġãĥ İ", + "п е", + "çĴ °", + "Ġ èª", + "Ġè ª", + "ÙĪ ÙĦÙĩ", + "ÙĪÙĦ Ùĩ", + "Ä° M", + "/ REC", + "/R EC", + "å¡ ŀ", + "ĠÐĴ и", + "/l oose", + "/lo ose", + "Ġп оÑħ", + "Ġпо Ñħ", + "Ġgen iÅŁ", + "Ġth iá»ĩn", + "Ġthi á»ĩn", + "ti ÄŁi", + "Ñĩ ие", + "Ñĩи е", + "о нд", + "он д", + "Ġп ÑĢиÑģ", + "ĠпÑĢ иÑģ", + "ĠпÑĢи Ñģ", + "áz ky", + "ĠDev let", + "ç¦ ģ", + "Ġ аг", + "Ġа г", + "i lere", + "il ere", + "ile re", + "iler e", + "ин кÑĥ", + "Ġvar dı", + "ãĢĢ ãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢ ĠãĢĢ", + "Ġë ĨĴ", + "ĠëĨ Ĵ", + "à¤Ĥ पन", + "à¤Ĥप न", + "Ġözel lik", + "éļ ľ", + "ìĸ´ ìĦľ", + "ر ÙĬÙĥ", + "رÙĬ Ùĥ", + "ÙĪ بÛĮ", + "ÙĪب ÛĮ", + "ãĥ³ ãĥĢ", + "ãĥ³ãĥ Ģ", + "í Į¨", + "íĮ ¨", + "Ġसम à¤Ŀ", + "ï¾Ĩï¾Ĩ ï¾Ĩï¾Ĩ", + "Ġ ÙģÙĨ", + "ĠÙģ ÙĨ", + "ॠĿ", + "Ġuv eden", + "ÑĪ ими", + "ÑĪи ми", + "ÑĪим и", + "Ġ à¹Ģล", + "Ġà¹Ģ ล", + "Ġà¹Ģภ¥", + "Ġ 문ìĿĺ", + "Ġ문 ìĿĺ", + "ĠØŃ Ø±Ùģ", + "ĠØŃر Ùģ", + "Ġ عب", + "Ġع ب", + "ãĥ¬ ãĥĵ", + "Ġ æŃ£", + "ĠæŃ £", + "ĠëĺIJ ëĬĶ", + "ĠÚ©ÙĨ ÙĨدÙĩ", + "ĠÚ©ÙĨÙĨد Ùĩ", + "Ġα ÏħÏĦÏĮ", + "ĠαÏħ ÏĦÏĮ", + "Ġ 길", + "Ġê¸ ¸", + "Ġif ade", + "Ġi fade", + "Ġifad e", + "Ġyap mak", + "ãĥķ ãĤ©", + "ãĥķãĤ ©", + "Ġm ẹ", + "Ġst rán", + "Ġstr án", + "Ġs vou", + "Ġsv ou", + "Ġsvo u", + "Ġv ždy", + "Ġtek rar", + "ิ à¸į", + "Ġ ìĵ°", + "Ġì ĵ°", + "Ġìĵ °", + "o ÄŁu", + "oÄŁ u", + "Ġ Ú©ÛĮÙĦ", + "ĠÚ© ÛĮÙĦ", + "ĠÚ©ÛĮ ÙĦ", + "и вÑģÑı", + "ив ÑģÑı", + "Ġë§IJ íĸĪëĭ¤", + "ä¸ Ŀ", + "à¤ı स", + "ĠÑģÑĤ ÑĢаÑħ", + "ĠÑģÑĤÑĢ аÑħ", + "ĠÑģÑĤÑĢа Ñħ", + "Ġsou Äįas", + "Ġê·¸ 룰", + "Ġ mÃ¼ÅŁ", + "Ġm Ã¼ÅŁ", + "Ġmü ÅŁ", + "λ οÏį", + "λο Ïį", + "γ Ïī", + "Ġt Æ°á»Łng", + "Ġ å·¥", + "Ġå· ¥", + "Ġ اسÙħ", + "Ġا سÙħ", + "Ġاس Ùħ", + "ÑĢ Ñĸм", + "ÑĢÑĸ м", + "à¹Ģ à¸Ľà¸¥", + "à¹Ģà¸Ľ ล", + "Ġ³³ Ġ³³", + "Ùĩ اÛĮÛĮ", + "ÙĩاÛĮ ÛĮ", + "å¯ º", + "Ġس رÛĮ", + "Ġسر ÛĮ", + "Ġк ваÑĢ", + "Ġкв аÑĢ", + "ĠØ´Ùħ ارÙĩ", + "ĠØ´Ùħا رÙĩ", + "Ġ صØŃ", + "Ġص ØŃ", + "о ÑģÑĤав", + "оÑģÑĤ ав", + "ॠ¨", + "Ġ à¸Ħวาม", + "Ġà¸Ħ วาม", + "í ĥģ", + "íĥ ģ", + "éĢ Ĥ", + "ب ØŃ", + "ĠdeÄŁiÅŁ ik", + "éĮ ²", + "е ди", + "ед и", + "Ġ okol", + "Ġo kol", + "Ġok ol", + "ĠÑģ оп", + "ĠÑģо п", + "Ġol mayan", + "Ġolm ayan", + "Ġolma yan", + "çŃ ij", + "Û± Û´", + "Û±Û ´", + "Ġ inclu", + "Ġinc lu", + "Ġincl u", + "Ġ ê²ĮìŀĦ", + "Ġê²Į ìŀĦ", + "ÛĮ ستÙħ", + "ÛĮست Ùħ", + "ÛĮس تÙħ", + "Ġ ç©", + "Ġç ©", + "ĠاÙĦÙĪÙĦ اÙĬات", + "il mektedir", + "ilm ektedir", + "à Į", + "Ùİ Ø¹", + "ĠaÄŁ ır", + "è¡ Ľ", + "Ġe ski", + "Ġes ki", + "Ġesk i", + "ê° Ŀ", + "본 ëĭ¤", + "人 åijĺ", + "Úĺ ÛĮ", + "Ġ ç¨", + "Ġç ¨", + "Ġм еÑģÑĤо", + "ĠмеÑģÑĤ о", + "v ů", + "à¥įर ह", + "ĠØ· رØŃ", + "Ġطر ØŃ", + "Ġا بÙĨ", + "Ġاب ÙĨ", + "Ġh iss", + "Ġhis s", + "Ġhi ss", + "о ÑĢÑıд", + "оÑĢ Ñıд", + "Ġد Ùģ", + "ÑĢ иÑģÑĤ", + "ÑĢи ÑģÑĤ", + "ÑĢиÑģ ÑĤ", + "à¸Ĭ ม", + "д еÑĤ", + "де ÑĤ", + "à¹Ģ หม", + "à¹Ģห ม", + "ë§Ī ìĤ¬ì§Ģ", + ": .:.:", + ":. :.:", + ":.: .:", + "éħ ¸", + "Ġα ÏģÏĩ", + "ĠαÏģ Ïĩ", + "Ġn ữ", + "ĠпоÑģ ад", + "l um", + "lu m", + "ì º", + "ãģ§ãģį ãĤĭ", + "ìĸ µ", + "ĠاÙĦ Ùħد", + "ĠاÙĦÙħ د", + "н Ñĸм", + "нÑĸ м", + "ر اÙĤ", + "را ÙĤ", + "Ġ ãĥĪ", + "Ġãĥ Ī", + "Ġod povÄĽ", + "Ġodp ovÄĽ", + "Ġbir bir", + "Ġh ãy", + "Ġhã y", + "о вий", + "ов ий", + "ови й", + "æ® ĭ", + "éĥ½ æĺ¯", + "è¿ ª", + "Ġa raç", + "Ġar aç", + "Ġara ç", + "ен ÑĤÑĸв", + "енÑĤ Ñĸв", + "æĬ ±", + "d ál", + "ĠÄIJ ông", + "Ġhe sap", + "Ġhes ap", + "Ġا ÙĨساÙĨ", + "ĠاÙĨ ساÙĨ", + "ĠÙĬ ÙĪÙħ", + "ĠÙĬÙĪ Ùħ", + "ĠÙĨ ÙĪر", + "ĠÙĨÙĪ ر", + "åī ĩ", + "çĹ Ľ", + "Ġ ÙĨÙĬ", + "ĠÙĨ ÙĬ", + "алÑĮ на", + "تب اط", + "ल ब", + "Ġkom un", + "Ġko mun", + "Ġs nad", + "Ġsn ad", + "Ġsna d", + "åĽ £", + "ر ÙĬد", + "رÙĬ د", + "elop ment", + "Ġ иÑİ", + "Ġи Ñİ", + "à¥Ģ .", + "Ġkıs a", + "Ġkı sa", + "ĠdeÄŁil dir", + "ĠdeÄŁildi r", + "à¹ī าร", + "à¹īา ร", + "Ġsv ého", + "Ġsvé ho", + "Ġobl asti", + "Ġoblast i", + "ÑĪ ли", + "à¹Ģà¸Ĺ à¸ŀ", + "ÑĢ еÑĤÑĮ", + "ÑĢе ÑĤÑĮ", + "ÑĢеÑĤ ÑĮ", + "о во", + "ов о", + "Ġ íĤ¤", + "Ġí Ĥ¤", + "ĠíĤ ¤", + "át ky", + "ĠاÙĦ Ùģر", + "ĠاÙĦÙģ ر", + "èĺ Ń", + "ÏĦ ον", + "ÏĦο ν", + "ĠÑģÑĤ оиÑĤ", + "ĠÑģÑĤо иÑĤ", + "Ùħ ØŃ", + "Ġ à¹Ħ", + "Ġà ¹Ħ", + "ĠÑĤе бе", + "ĠÑĤеб е", + "íģ ´", + "Ġm ÄĽla", + "ĠmÄĽ la", + "ĠmÄĽl a", + "æݧ åĪ¶", + "ĠCh ủ", + "ìĬ ¨", + "ÐIJ Т", + "ا جع", + "اج ع", + "ìĻ ķ", + "ç© ¿", + "ол ее", + "ห ลาย", + "หล าย", + "Ġd vou", + "Ġdv ou", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ุ à¸Ĥ", + "Ġb oz", + "Ġbo z", + "ิ à¸Ļà¸Ħ", + "ิà¸Ļ à¸Ħ", + "å¤ Ł", + "Ġfa aliyet", + "ĠÄį ÃŃs", + "ãģ» ãģ©", + "Ġ :/", + "Ġ: /", + "к ÑĸÑģÑĤÑĮ", + "кÑĸ ÑģÑĤÑĮ", + "Ġ ì¤Ģ", + "Ġì¤ Ģ", + "Ïģ αÏĤ", + "Ïģα ÏĤ", + "Ġод но", + "æ ¢ħ", + "æ¢ ħ", + "Ñĥб ли", + "н оз", + "но з", + "à¹Į ม", + "Ġvý rob", + "Ġvýro b", + "Ġ κÏħ", + "Ġκ Ïħ", + "ÅĻ ev", + "ÅĻe v", + "Âł B", + "ů že", + "ůž e", + "ä¼ļ 社", + "ι β", + "ÑĢ ованиÑı", + "ÑĢов аниÑı", + "ÑĢо ваниÑı", + "ÑĢован иÑı", + "ÑĢова ниÑı", + "Ġc ev", + "Ġce v", + "ìĽ Ģ", + "ál nÃŃch", + "áln ÃŃch", + "álnÃŃ ch", + "Ġ ÑĢав", + "ĠÑĢ ав", + "ĠÑĢаР²", + "ĠÑĢа в", + "ç´ §", + "åĢ Ł", + "Ġ ÑŁ", + "ĠÑ Ł", + "ÙĪ ÙĨÙĬ", + "ÙĪÙĨ ÙĬ", + "о зÑı", + "оз Ñı", + "Ġз ов", + "Ġk olem", + "Ġko lem", + "Ġkol em", + "Ġkole m", + "민 êµŃ", + "ç¿ Ĵ", + "Ġzam ÄĽst", + "Ġ ìłij", + "Ġìł ij", + "Ġ زÙĨ", + "Ġز ÙĨ", + "ĠØ£ Ùģ", + "Ġ 먹", + "Ġë¨ ¹", + "Ġtom to", + "Ġ 첨ë¶Ģ", + "Ġì² ¨ë¶Ģ", + "s age", + "sa ge", + "ä¸į è¿ĩ", + "е год", + "ег од", + "его д", + "ÑĢ ож", + "ÑĢо ж", + "ĠпÑĢоÑĨ ед", + "à¹Į à¸Ļ", + "san ız", + "âĢŀ Ø·", + "æ´» åĬ¨", + "о Ñĩки", + "оÑĩ ки", + "ë³´ 기", + "åŁº æľ¬", + "- Ñħ", + "ло ÑģÑı", + "ĠÙĩÛĮ ÚĨ", + "ìĹ Ķ", + "Ñĩ ного", + "Ñĩно го", + "Ġ à¤Ĺर", + "Ġà¤Ĺ र", + "Ġà¤ħ à¤Ĺ", + "ãħĭãħĭ ãħĭãħĭ", + "Ġ ãĤ¸", + "ĠãĤ ¸", + "ا سة", + "اس Ø©", + "åĬ ĩ", + "à¹ī à¸ĩ", + "Ġ 커", + "Ġì» ¤", + "n ými", + "ný mi", + "ným i", + "ãĥ¬ ãĤ¹", + "åĭ Ĵ", + "Ġобла ÑģÑĤÑĸ", + "ĠоблаÑģ ÑĤÑĸ", + "ĠоблаÑģÑĤ Ñĸ", + "ĠдÑĸÑıлÑĮ ноÑģÑĤÑĸ", + "ãĥ¬ ãĤ¤", + "Ïĩ αν", + "Ïĩα ν", + "à¹Ī าส", + "à¹Īา ส", + "ĠФ ÑĢан", + "Ùĩ ÙĦ", + "l ardır", + "lar dır", + "lardı r", + "ØŃ Ø§Øª", + "ů st", + "Ġв одÑĭ", + "Ġво дÑĭ", + "Ġвод Ñĭ", + "ĠدÙĪ ÙĦت", + "ĠدÙĪÙĦ ت", + "ĠÑģпе ÑĨÑĸ", + "Ġth ất", + "à¸Ń าหาร", + "éł ĺ", + "Ġter cih", + "ĠÏĢÏģο Ïĥ", + "Ġ ÅĻÃŃzenÃŃ", + "ĠÅĻÃŃ zenÃŃ", + "è§ī å¾Ĺ", + "Ġd nes", + "Ġdn es", + "Ġdne s", + "е Ñĩно", + "еÑĩ но", + "ãĥ ĺ", + "Ġدار اÛĮ", + "ĠÅŁ art", + "ĠÅŁar t", + "ë² ¤", + "Ġ ë¶ģ", + "Ġë ¶ģ", + "Ġë¶ ģ", + "е Ñı", + "н ÑıÑĤÑĮ", + "нÑı ÑĤÑĮ", + "нÑıÑĤ ÑĮ", + "Ġk vÄĽt", + "Ġkv ÄĽt", + "Ġتغ ÛĮÛĮر", + "é¾ į", + "Ġر ÙĨÚ¯", + "ï¼Į åı¯", + "Ġp iyas", + "Ġpi yas", + "Ġuyg ulan", + "Ġuygu lan", + "Ùİ Ø©", + "ب ÙĬر", + "بÙĬ ر", + "и ваÑĤÑĮ", + "ив аÑĤÑĮ", + "ива ÑĤÑĮ", + "Ġ íĹĪ", + "ĠíĹ Ī", + "ä¸ ¶", + "è¿Ļ äºĽ", + "Ġ گر", + "ĠÚ¯ ر", + "ç½ ª", + "ä¸Ģ æł·", + "Ġ ãĥª", + "Ġãĥ ª", + "Ġв ой", + "Ġво й", + "Ġs osyal", + "Ġsos yal", + "ุ à¸Ĺà¸ĺ", + "ุà¸Ĺ à¸ĺ", + "หม à¸Ķ", + "ç» Ŀ", + "ĠاÙĦ جÙħ", + "ĠاÙĦج Ùħ", + "ĠØ« بت", + "Ġج ÙĨÚ¯", + "ĠجÙĨ Ú¯", + "л ении", + "лен ии", + "ле нии", + "в аÑı", + "ва Ñı", + "Ġв оÑĤ", + "Ġво ÑĤ", + "ä¼ ¤", + "Ġ หล", + "Ġห ล", + "ĠÙħÙĤ اÙĦÙĩ", + "мÑĸ нÑĸ", + "мÑĸн Ñĸ", + "ìĺ ¬", + "Ñĩ ий", + "Ñĩи й", + "ĠÙħ Ú©", + "à¹Ĥ à¸Ľà¸£", + "à¹Ĥà¸Ľ ร", + "k rv", + "kr v", + "Ġ ÃŃch", + "ĠÃŃ ch", + "Ïī Ïĥη", + "ек ÑĤоÑĢ", + "екÑĤ оÑĢ", + "Я к", + "Ġp ÃŃs", + "ĠÃĸ zel", + "ĠÃĸz el", + "Ġt Æ°á»Ľng", + "Ġ ÐĶо", + "ĠÐĶ о", + "δ ιο", + "δι ο", + "ู à¸Ķ", + "Ġt ük", + "رÛĮ ÙĤ", + ". ÐĴ", + "Ġ åIJĪ", + "ĠåIJ Ī", + "ä¿ Ĥ", + "Ġob dob", + "Ġist edi", + "ÑĪ ла", + "æľī ä¸Ģ", + "Ġвк лÑİÑĩа", + "ĠвклÑİÑĩ а", + "ĠتØŃ ÙĤÛĮÙĤ", + "Ġ ÙĪÙĥ", + "ĠÙĪ Ùĥ", + "Ġ èĪ", + "Ġè Ī", + "Æ Ĵ", + "μ εÏģ", + "με Ïģ", + "Ġ åģ", + "Ġå ģ", + "Ġ ìĹĨëĬĶ", + "ĠìĹĨ ëĬĶ", + "Âł d", + "ĠB ắc", + "à¸ģล าà¸ĩ", + "ĠÑĩ Ñĥв", + "Ġc ấu", + "ĠH á»ĵ", + "ĠHá» ĵ", + "ĠÙģ اÛĮÙĦ", + "ÏĦη γοÏģ", + "ç± į", + "Ġ بت", + "Ġب ت", + "ĠобÑĢаз ом", + "æ± ī", + "èĦ ij", + "Ġgi ản", + "Ġgiả n", + "ε Ïģγ", + "εÏģ γ", + "ĠÐľ Ñĸ", + "èĻ½ çĦ¶", + "Ġ Khi", + "ĠK hi", + "ĠKh i", + "Ñĩ ини", + "Ñĩи ни", + "Ñĩин и", + "Ġà¤ħ à¤Ĺर", + "Ġà¤ħà¤Ĺ र", + "íķĺ ë©°", + "ë² Ķ", + "ãģ ģ", + "в иÑħ", + "ви Ñħ", + "ĠвÑģ егда", + "Ġ ç¶", + "Ġç ¶", + "ÑģÑĤв енной", + "ÑģÑĤвен ной", + "ÑģÑĤвенно й", + "Ġyük sel", + "æ¸ ¬", + "Ġsı ras", + "Ġsır as", + "Ġsıra s", + "ĠÏĢ ÏģÏİ", + "èĢ ³", + "ا ÛĮر", + "اÛĮ ر", + "د ÙĪد", + "دÙĪ د", + "ĠAl man", + "ĠAlma n", + "Ġver di", + "Ġverd i", + "ĠاÙĦ Ùħج", + "ĠاÙĦÙħ ج", + "ĠاÙĦ تع", + "ĠاÙĦت ع", + "ص Ø©", + "Ġsı ra", + "Ġsır a", + "Äį in", + "Äįi n", + "Ġп еÑĢÑĪ", + "ĠпеÑĢ ÑĪ", + "æĬ ĺ", + "ç© į", + "ĠÑĤ об", + "ĠÑĤо б", + "Ġ ï¾ī", + "Ġï¾ ī", + "ภ¬", + "æĿ Ģ", + "iy di", + "ี à¸ŀ", + "çĵ ¦", + "ĠавÑĤом об", + "ä¸Ń æĸĩ", + "à¥Ĥ द", + "ĠbÄĽ hem", + "Ġ PÅĻed", + "ĠP ÅĻed", + "ĠPÅĻ ed", + "ãģĵ ãģĨ", + "ั à¸Ī", + "Ġ ï½Į", + "Ġï½ Į", + "Ġ ÙĩاÙĬ", + "ĠÙĩ اÙĬ", + "ĠÙĩا ÙĬ", + "Ġs ạch", + "æĸ¹ éĿ¢", + "çķ °", + "ÑĥÑĢ н", + "Ġvý sled", + "Ġth ần", + "ï¼Į æīĢ以", + "Ñĥ ка", + "Ñĥк а", + "íķĺ ëĭ¤", + "Ġ बर", + "Ġब र", + "Ġж Ñĸн", + "Äį nÃŃho", + "ÄįnÃŃ ho", + "Ġ ãģĮ", + "ab ı", + "v ánÃŃ", + "vá nÃŃ", + "æ´ Ĺ", + "Ġи ÑģÑĤоÑĢ", + "ĠиÑģ ÑĤоÑĢ", + "ĠиÑģÑĤ оÑĢ", + "ìĿ´ íĦ°", + "Ġе лек", + "а лаÑģÑı", + "ала ÑģÑı", + "Ġ znám", + "Ġz nám", + "Ġzn ám", + "ĠØ· رÙģ", + "Ġطر Ùģ", + "Ġs ektör", + "ê¹ Ģ", + "ÙĪ ÙĤع", + "ÙĪÙĤ ع", + "ĠÙħ Ùĥ", + "ÑĢе жд", + "ÑĢеж д", + "Ġk nih", + "Ġkn ih", + "Ġت عداد", + "Ġتع داد", + "Ġتعد اد", + "åį ł", + "ÑģÑĮ ке", + "ÑģÑĮк е", + "Ġ çĶµ", + "京 éĥ½", + "Ġر اÛĮ", + "Ġرا ÛĮ", + "g ın", + "gı n", + "ĠÙĨ ظاÙħ", + "ĠÙĨظ اÙħ", + "ĠÎł ολ", + "ĠÎłÎ¿ λ", + "ä¸Ģ èĪ¬", + "Ġst ále", + "Ġstál e", + "ĠиÑģ Ñģлед", + "Ġz práv", + "Ġzp ráv", + "Ġ ÑĩиÑģÑĤ", + "ĠÑĩ иÑģÑĤ", + "ĠÑĩиÑģ ÑĤ", + "ĠÑĩи ÑģÑĤ", + "ãĥ¼ ãĥŀ", + "ãĥ¼ãĥ ŀ", + "Ðŀ Ñģ", + "ÑģÑĮ комÑĥ", + "ÑģÑĮк омÑĥ", + "ÑģÑĮко мÑĥ", + "ĠpÅĻi prav", + "ĠpÅĻip rav", + "ëĮĢ íĸī", + "Ġh alk", + "Ġha lk", + "Ġhal k", + "çĪ Ĩ", + "ãĢģ ãģĬ", + "ï¼Ł âĢĿĊĊ", + "ï¼ŁâĢĿ ĊĊ", + "éĢ ı", + "ç« ŀ", + "ни ÑĨÑĮ", + "ниÑĨ ÑĮ", + "çĽ ĺ", + "à¹Ģ à¸Ńà¸ĩ", + "à¹Ģà¸Ń à¸ĩ", + "ì Łģ", + "à¥ĩव ल", + "ä¹ĭ åIJİ", + "ãĥ« ãĥĪ", + "Ġ stru", + "Ġs tru", + "Ġst ru", + "Ġstr u", + "Ġ ＿", + "Ġï¼ ¿", + "Îķ ÎĽ", + "h le", + "hl e", + "ĠÙĨ ÙĪØ´", + "ĠÙĨÙĪ Ø´", + "ìĿ µ", + "ĠÙħ Ùģ", + "æĪĸ èĢħ", + "Ġö ld", + "Ġöl d", + "éĢ Ķ", + "ãĥ³ ãĥĹ", + "ãĥ³ãĥ Ĺ", + "íĺ ¼", + "Ġu ÄŁ", + "ĠÄij á", + "Ġvlast nÃŃ", + "ĠÙħج ÙĦس", + "åį Ķ", + "ÏĦ ικήÏĤ", + "ÏĦικ ήÏĤ", + "ÏĦική ÏĤ", + "Ġpo vin", + "Ġpov in", + "ů l", + "ĠاÙĦ ØŃÙĬ", + "ĠاÙĦØŃ ÙĬ", + "Ġsm lou", + "ãĥĥ ãĥģ", + "Ġ ÙĥÙĨ", + "ĠÙĥ ÙĨ", + "Ġch ấp", + "èIJ ¬", + "ج ب", + "? âĢľ", + "д ав", + "да в", + "ร วม", + "รว ม", + "Ùİ Ø¯", + "ĠاÙĦد ÙĪÙĦ", + "ĠëĦ¤ ìĿ´íĬ¸", + "Ġà¤Ĩ स", + "ظ ÙĬÙģ", + "ãĥ¼ ãĥ©", + "ãĥ¼ãĥ ©", + "ãģł ãĤįãģĨ", + "ĠÙĪاØŃ Ø¯", + "ĠÙĪا ØŃد", + "ر ÙĪس", + "رÙĪ س", + "Ġzákon a", + "ĠпеÑĢ еб", + "ĠпеÑĢе б", + "à¥Ģ -", + "à¹Ī à¹Ħà¸Ķ", + "为 äºĨ", + "ÎĻ ÎĿ", + "ĠìĽĶ ìĦ¸", + "ส à¸Ńà¸ĩ", + "Ġ æīĭ", + "Ġæī ĭ", + "Ġ ÐĴÑģе", + "ĠÐĴ Ñģе", + "ĠÐĴÑģ е", + "à¹Ĥ ย", + "Ġkal dır", + "Ġkaldı r", + "ÏĦ ÎŃÏĤ", + "ÏĦÎŃ ÏĤ", + "Ġ ï¿£", + "Ġ íĸĪëĭ¤", + "Ġíĸ Īëĭ¤", + "ĠíĸĪ ëĭ¤", + "ãĤģ ãģŁ", + "Ġ Äįer", + "ĠÄį er", + "ĠÄįe r", + "c ela", + "ce la", + "cel a", + "üs ü", + "ê³ ³", + "ìĹIJ ëıĦ", + "ز Ø©", + "ãģª ãĤĭ", + "ÙĪ ÛĮÙĨ", + "ÙĪÛĮ ÙĨ", + "çī Ľ", + "Ġ voj", + "Ġv oj", + "Ġvo j", + "Ġ ëĬIJ", + "ĠëĬ IJ", + "Ġ ÙĥÙħ", + "ĠÙĥ Ùħ", + "æ³ ī", + "з Ñı", + "è£ Ŀ", + "ĠØ¢ ÙĦ", + "Ġ ανά", + "Ġα νά", + "Ġαν ά", + "Âł ÐĴ", + "Ġyap ıl", + "Ġyapı l", + "æı Ľ", + "ĠÑģ ÑĥÑīеÑģÑĤв", + "ĠÑģÑĥ ÑīеÑģÑĤв", + "ĠÑģÑĥÑīе ÑģÑĤв", + "Ġn á»iji", + "ÙĪ ئ", + "ĠëĦ¤ìĿ´íĬ¸ ìĺ¨", + "Ġpolit ik", + "Å¡ ka", + "Å¡k a", + "ebilir siniz", + "ld kf", + "Ñĥб лÑĸ", + "Ġe oq", + "Ġeo q", + "ĠÙħØŃ ØµÙĪÙĦ", + "krv ldkf", + "Ġeoq krvldkf", + "Ïĥε Ïīν", + "بÙĦ غ", + "Įĵ ê¸Ģ", + "ĠÑģ ÑĢок", + "ĠU y", + "ĠN ÄĽk", + "ĠNÄĽ k", + "Ġ див", + "Ġд ив", + "Ġди в", + "ãĤµ ãĤ¤", + "Ġ ìĤ¬ìĿ´", + "ĠìĤ¬ ìĿ´", + "Ġ éĹ", + "Ġé Ĺ", + "Ġб аÑĤÑĮ", + "Ġба ÑĤÑĮ", + "Ġп еÑĢÑĸ", + "ĠпеÑĢ Ñĸ", + " ĸ", + "交 éĢļ", + "ен з", + "ÙĪ ست", + "ÙĪس ت", + "ีย à¸ļ", + "Ġ à¸Īะ", + "Ġà¸Ī ะ", + "ë¡ Ģ", + "üf us", + "Ùij ÙIJ", + "ç¸ ½", + "ัà¸Ķ ส", + "ê² Ģ", + "ĠÑĤ иÑħ", + "ĠÑĤи Ñħ", + "ĠØ¢ زÙħ", + "Ġآز Ùħ", + "Ġ اض", + "Ġا ض", + "ĠØ§Ø ¶", + "ì ¡´", + "ì¡ ´", + "ÙĴ ت", + "æĪ ¸", + "ĠìŀĪ ìĿĦ", + "Ġ çĶ·", + "Ñī Ñĸ", + "о ма", + "ом а", + "ĠاÙģز اÛĮØ´", + "Ġ Thông", + "ĠTh ông", + "ĠاجتÙħاع ÛĮ", + "е лÑİ", + "ел Ñİ", + "ĠÑħоÑĢоÑĪ о", + "à¸ł าษ", + "Ġ rám", + "Ġr ám", + "Ġrá m", + "å¾ ¡", + "ãĥ¼ ãĥĦ", + "ãĥ¼ãĥ Ħ", + "ĠL Ỽp", + "Ġ Ø´ÙĬ", + "ĠØ´ ÙĬ", + "Ġh iá»ĥm", + "Ġhi á»ĥm", + "θ ν", + "ο ÏħÏĥ", + "οÏħ Ïĥ", + "å¾ ©", + "Ġú zem", + "à¹ģ à¸ľ", + "å ·¨", + "å· ¨", + "à¸Ī à¸Ļ", + "Ú¯ راÙĨ", + "گر اÙĨ", + "Ġت ÛĮÙħ", + "ĠتÛĮ Ùħ", + "Ġ ilet", + "Ġi let", + "Ġil et", + "Ġile t", + "า à¸Ĥà¸Ńà¸ĩ", + "าà¸Ĥ à¸Ńà¸ĩ", + "Ġ تÙĪر", + "Ġت ÙĪر", + "ĠتÙĪ ر", + "Ġдо говоÑĢ", + "Ġдог овоÑĢ", + "Ġдогов оÑĢ", + "Ġt ento", + "Ġten to", + "Ġtent o", + "в Ñĥ", + "Ġз ада", + "Ġза да", + "Ġзад а", + "Ġstole tÃŃ", + "Ġstol etÃŃ", + "Âł Ġ", + "âĢĮ اÙĦ", + "Ë ĺ", + "ÅŁ iv", + "ÅŁi v", + "н ÑıÑĤи", + "нÑı ÑĤи", + "нÑıÑĤ и", + "ãĤī ãĤĮãģŁ", + "ãĤīãĤĮ ãģŁ", + "ĠS b", + "ĠاÙĦÙħ ص", + "ĠУкÑĢаÑĹ Ð½Ñĸ", + "ĠУкÑĢаÑĹн Ñĸ", + "ĠØ´ Ú©", + "iế ng", + "iến g", + "ÑĮ ÑĤе", + "è° ¢", + "ĠÙħ تÙĨ", + "ĠÙħت ÙĨ", + "Ġ ÑĢад", + "ĠÑĢ ад", + "ĠÑĢаР´", + "ĠÑĢа д", + "ĠÙħÙĪ اد", + "ì± Ħ", + "é¡ ¶", + "Ġbo ÅŁ", + "ت ÙĪر", + "تÙĪ ر", + "ĠÄij áng", + "ĠÄijá ng", + "Ġkit ap", + "Ġki tap", + "Ġkita p", + "Ġho din", + "Ġhod in", + "Ġtarih i", + "ãĤĦ ãĤĭ", + "Ñģ ÑĤеÑĢ", + "ÑģÑĤ еÑĢ", + "ÑģÑĤе ÑĢ", + "Ġ Ñħод", + "ĠÑħ од", + "в ание", + "ва ние", + "ван ие", + "ĠоÑģ вÑĸ", + "ĠÑģиÑģÑĤем Ñĭ", + "़ न", + "Ïĩ ο", + "Ġ åı°", + "Ġåı °", + "o ÅĻ", + "ç»ı æµİ", + "Ġ ä½ľ", + "Ġthu áºŃn", + "Ľ Ī", + "Ġy alnız", + "a let", + "al et", + "ale t", + "ì¦Ŀ ê¸Ī", + "Ġза Ñī", + "Ġе кÑģп", + "Ġек Ñģп", + "âĦĸ âĦĸ", + "Ġ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠÚ¯ ÙĪØ´", + "ĠÚ¯ÙĪ Ø´", + "ãģ« åħ¥", + "Ġu dÄĽl", + "Ġud ÄĽl", + "Ġ áº", + "Ġá º", + "à¤Ĩ à¤Ī", + "âĢĮ دÙĩ", + "âĢĮد Ùĩ", + "æĤ ª", + "Ġtr ò", + "æļ Ĺ", + "λλ ην", + "λλη ν", + "ĠпÑĢи зна", + "ĠпÑĢиз на", + "Ġس ÛĮستÙħ", + "ĠسÛĮ ستÙħ", + "Ġà¤ħ त", + "è o", + "è¿ İ", + "Ġз Ñĥб", + "ĠзаÑģ об", + "Ġس Ùģ", + "ĠÙħاÙĨ ÙĨد", + "Ø® Ø´", + "v ajÃŃ", + "va jÃŃ", + "nit ÅĻ", + "æ¯ Ĵ", + "æ¤ į", + "Ġgir iÅŁ", + "ĠÄij áp", + "ĠÄijá p", + "@ n", + "ов аÑĢи", + "оваÑĢ и", + "ова ÑĢи", + "ĠØ® دا", + "Ġخد ا", + "Ġv ÄĽtÅ¡", + "ĠvÄĽt Å¡", + "ĠΣ Ïħ", + "Ùģ Ø©", + "аннÑı м", + "ĠÑĩ лен", + "æĶ¯ æĮģ", + "å¨ ľ", + "lar arası", + "lara rası", + "Ρ Îij", + "Ġz iy", + "Ġzi y", + "Ġ êµIJìľ¡", + "ĠêµIJ ìľ¡", + "Ġh á»ĵi", + "Ġhá»ĵ i", + "าà¸Ħ าร", + "าà¸Ħา ร", + "im leri", + "imler i", + "è³ ¼", + "ĠجÙĩ اÙĨ", + "ĠÑĢоз мÑĸ", + "Ñħ Ñĸв", + "γ ε", + "æ¨ ª", + "ÎĻ ÎijΣ", + "ÎĻÎij Σ", + "ç¶ Ń", + "Ġbi raz", + "Ġbir az", + "ĠÑĤак ого", + "ĠÑĤа кого", + "íĥ Ħ", + "ĠбÑĥд ÑĥÑĤ", + "ĠбÑĥ дÑĥÑĤ", + "ĠбÑĥдÑĥ ÑĤ", + "ĠÑĪ вид", + "Ġ неÑģ", + "Ġн еÑģ", + "Ġне Ñģ", + "ĠÙħ عÙĦÙĪÙħات", + "ĠÙħعÙĦ ÙĪÙħات", + "à¥ĩ यर", + "à¥ĩय र", + "Ġдв ÑĥÑħ", + "å¿ħ è¦ģ", + "å§ Ĩ", + "Ġpo hled", + "Ġpoh led", + "ìĬ¤ íĦ°", + "Ġ åįģ", + "Ġåį ģ", + "ĠØ£ ب", + "веÑĢ дж", + "веÑĢд ж", + "Ġà¤ľ म", + "ल त", + "åľ° åĮº", + "Ġ |[", + "Ġ| [", + "Ġв меÑģÑĤ", + "ĠÚ© اÙħ", + "Ġ ãĥIJ", + "Ġãĥ IJ", + "ãĥ¼ ãĥĸ", + "ãĥ¼ãĥ ĸ", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Ġ ìĥģíĴĪ", + "Ġìĥģ íĴĪ", + "à¹Ģล ย", + "Äį né", + "ĠÑģÑĢед ÑģÑĤва", + "ĠÑģÑĢедÑģÑĤв а", + "Ġ ÑĤаб", + "ĠÑĤ аб", + "ĠÑĤа б", + "Ġ Ùħار", + "ĠÙħ ار", + "ĠÙħا ر", + "Ġ hled", + "Ġh led", + "Ġhl ed", + "д аÑĤ", + "да ÑĤ", + "ÙĪ ÛĮد", + "ÙĪÛĮ د", + "Ġ ãĥ©", + "Ġãĥ ©", + "ĠØ® د", + "è¤ ĩ", + "ç§ ĺ", + "Ġ برد", + "Ġب رد", + "Ġبر د", + "ĠÏĥ αÏĤ", + "Ïİ ÏĥειÏĤ", + "æĿ ¯", + "λ Ïį", + "å® ¿", + "Ġ ëĤľ", + "ĠëĤ ľ", + "ï» Ł", + "Ġözel likle", + "Ġözellik le", + "Ġкон Ñģ", + "ĠÙħ غ", + "ع ÙĬ", + "à¹Į à¸ģ", + "Ġ ÙĬت", + "ĠÙĬ ت", + "ĠÙħ شاÙĩ", + "ĠÙħØ´ اÙĩ", + "ĠTh anh", + "ĠThan h", + "ा à¤ľà¤¨", + "à¤¾à¤ľ न", + "¥ ¤", + "Ġv lá", + "Ġvl á", + "ĠÙģ ض", + "Τ ÎĻÎļ", + "Ġна Ñĥков", + "ĠнаÑĥк ов", + "е лем", + "ел ем", + "еле м", + "Ġd Ãłng", + "ĠгоÑģп одаÑĢ", + "Âł S", + "и ÑĩеÑģкиÑħ", + "иÑĩеÑģ киÑħ", + "иÑĩеÑģки Ñħ", + "ĠتÙĨ Ùĩا", + "à¤ľ न", + "Ġп ан", + "Ġпа н", + "åĨ ł", + "Ġ ëĤĺëĬĶ", + "ĠëĤĺ ëĬĶ", + "t ÃŃ", + "ä¸Ģ èµ·", + "Ġlã nh", + "Âł v", + "ov ým", + "ový m", + "ز ب", + "ĠجÙħع ÛĮت", + "Ġ æµ·", + "Ġæµ ·", + "ĠоÑģ ÑĥÑīеÑģÑĤв", + "à £i", + "ã i", + "ائ ر", + "Ġ ë³ij", + "Ġë³ ij", + "á»ĭ nh", + "Ġs á»Ńa", + "Ġsá»Ń a", + "à¥ĩà¤Ĥ ।", + "ÄĽ jÅ¡ÃŃ", + "ÄĽj Å¡ÃŃ", + "Ġд ÑĸÑĤ", + "ĠдÑĸ ÑĤ", + "Ġ æĥ", + "Ġæ ĥ", + "mÄ±ÅŁ tı", + "ر ØŃ", + "Ġì§Ģ ê¸Ī", + "å¦ »", + "âĹ ĭ", + "Ġ ì§ĢìĹŃ", + "Ġì§Ģ ìĹŃ", + "ÙĴ ÙĨ", + "Ġur Äįit", + "ĠurÄį it", + "ÙĴ Ùħ", + "z ÃŃ", + "è ķ", + "Ġ Ø´ÙĪر", + "ĠØ´ ÙĪر", + "ĠØ´ÙĪ ر", + "Ġ Không", + "ĠKh ông", + "ÛĮ زÛĮ", + "ÛĮز ÛĮ", + "Ġз г", + "Ġв не", + "Ġpr ávÄĽ", + "Ġprá vÄĽ", + "Ġpráv ÄĽ", + "è« ĭ", + "ا ÙĬت", + "اÙĬ ت", + "ั à¸ģร", + "ัà¸ģ ร", + "Ġolduk ça", + "ãĤģ ãĤĭ", + "ĠT ây", + "ëĿ¼ ìĿ¸", + "èĻ ķ", + "Ġs Æ°", + "Ġ ник", + "Ġн ик", + "Ġни к", + "Ù ł", + "اش ÛĮÙĨ", + "اشÛĮ ÙĨ", + "e lerde", + "el erde", + "eler de", + "ìĭľ ìķĦ", + "Ġ Ñĥмов", + "ĠÑĥ мов", + "ĠÑĥм ов", + "ĠçalÄ±ÅŁ an", + "Ġ ë¸Ķ", + "Ġë¸ Ķ", + "ĠÑĤак им", + "ĠÑĤа ким", + "ÑĢ ин", + "ÑĢи н", + "Ġ Ø®ÙĦ", + "ĠØ® ÙĦ", + "a yd", + "ay d", + "Ġ ãĥ¡", + "Ġãĥ ¡", + "ей ÑĩаÑģ", + "Ġdo prav", + "Ġdop rav", + "ãģĵ ãģ¨ãģ¯", + "ãģĵãģ¨ ãģ¯", + "Ġ ì¶Ķì²ľ", + "Ġì¶Ķ ì²ľ", + "å» ¶", + "Ġ kı", + "Ġk ı", + "åı ¶", + "ÑĢ иг", + "ÑĢи г", + "íħ ľ", + "çĶ³ åįļ", + "Ġ веÑĤ", + "Ġв еÑĤ", + "Ġве ÑĤ", + "ĠпомоÑī ÑĮÑİ", + "ĠاÙģ راد", + "ĠاÙģر اد", + "ÏĢ ει", + "ÏĢε ι", + "à¹Ģ สร", + "à¹Ģส ร", + "Ġgi ám", + "Ġgiá m", + "é İ", + "h las", + "hl as", + "man ız", + "manı z", + "ан гл", + "анг л", + "Ġmu ž", + "Âł K", + "ÑĢед иÑĤ", + "ÑĢеди ÑĤ", + "设 å¤ĩ", + "ι Ïĥμ", + "ιÏĥ μ", + "Ġc ải", + "Ġcả i", + "Ġ éĢļ", + "ĠéĢ ļ", + "Ġ Ùĥار", + "ĠÙĥ ار", + "Ġпод об", + "ĠмеÑĤ ал", + "ĠÑģам е", + "л ÑĥÑĩ", + "лÑĥ Ñĩ", + "åĤ ³", + "ĠÙĪÙĩ ÙĪ", + "Ġ éĩį", + "Ġéĩ į", + "в ий", + "ви й", + "æ³ ģ", + "Ġ æĿİ", + "ĠæĿ İ", + "ĠiliÅŁ kin", + "ĠiliÅŁk in", + "Ġεί Ïĩε", + "çĬ ¯", + "ÅĻej mÄĽ", + "èŃ ĺ", + "ç¨ ±", + "μ μα", + "μμ α", + "Ġ ÙĦÛĮ", + "ĠÙĦ ÛĮ", + "Ùĩ اÙĬ", + "Ùĩا ÙĬ", + "Ġ опиÑģ", + "Ġо пиÑģ", + "Ġоп иÑģ", + "Ú¯ رد", + "گر د", + "Ġг ÑĢ", + "ĠAnimal ia", + "ĠAnim alia", + "ÐŁ о", + "Ġb óng", + "ĠдеÑĤ ей", + "Ġl âu", + "Ġ æķĻ", + "Ġæķ Ļ", + "Ġпо ÑıÑģ", + "ĠاÙĦ Ø¢", + "ั à¸Ļà¸ķ", + "ัà¸Ļ à¸ķ", + "Ġд ев", + "Ġде в", + "Ġ ÑĨей", + "ĠÑĨ ей", + "ĠÑĨе й", + "ÑĮ в", + "æĥ ł", + "m aları", + "ma ları", + "mal arı", + "malar ı", + "im ler", + "à¥Ī ।ĊĊ", + "à¥Ī। ĊĊ", + "à¥Ī।Ċ Ċ", + "Ġ ном", + "Ġн ом", + "Ġно м", + "z v", + "Ġ à¸ģร", + "Ġà¸ģ ร", + "Ġpay laÅŁ", + "Âł s", + "ि सम", + "िस म", + "ÑģÑĤв еннÑĭÑħ", + "ÑģÑĤвен нÑĭÑħ", + "st oup", + "sto up", + "о нÑĸ", + "он Ñĸ", + "s tÃŃ", + "st ÃŃ", + "ĠØŃ Ú©", + "ĠÚ¯ رÙģت", + "ĠگرÙģ ت", + "Ġگر Ùģت", + "าà¸Ħ า", + "д Ñı", + "ÙĦ اث", + "ÙĦا Ø«", + "Ġzdrav ot", + "ä¸Ĭ ãģĴ", + "ãģ ¼", + "e lere", + "el ere", + "eler e", + "ele re", + "ظ Ùħ", + "ĠÑģ веÑĤ", + "ĠÑģв еÑĤ", + "о ÑĢг", + "оÑĢ г", + "ç« ¥", + "ĠпеÑĢ еп", + "ĠпеÑĢе п", + "Ġम द", + "а за", + "аз а", + "å¦Ĥ ä½ķ", + "ÑģÑĮ кÑĸй", + "ÑģÑĮк Ñĸй", + "ÑģÑĮкÑĸ й", + "Ġb Æ°á»Ľc", + "Ġger ekli", + "Ġgerek li", + "大 家", + "Ġtr ái", + "éģ ©", + "ä¸Ń 央", + "Ġph ản", + "Ġع رض", + "ĠÙĥ تاب", + "æĭ ©", + "ÑĪ его", + "ÑĪе го", + "å¸ ®", + "ĠÙĨÛĮ از", + "è¿ ·", + "ุ à¸Ľ", + "ิ à¸Ľ", + "Ġد Ø®", + "ÏĦ ικÎŃÏĤ", + "ÏĦικ ÎŃÏĤ", + "ĠU z", + "Ġت ÙĪÙħاÙĨ", + "ĠتÙĪ ÙħاÙĨ", + "ĠتÙĪÙħ اÙĨ", + "ĠÙĪ اÙĦØ£", + "ĠÙĪاÙĦ Ø£", + "ÅĻ es", + "ÅĻe s", + "Ñij м", + "Ġ å¸Ĥ", + "Ġå¸ Ĥ", + "ĠÑĤ оже", + "ĠÑĤо же", + "Ġy apan", + "Ġya pan", + "Ġyap an", + "å½¼ 女", + "ĠÙħ در", + "ĠÙħد ر", + "¶ ģ", + "Ġ æŶ", + "ĠæĹ ¶", + "à¹Ģ à¸ĺ", + "à¹Ģภĺ", + "Ġ ÙħاÙĦ", + "ĠÙħ اÙĦ", + "ĠÙħا ÙĦ", + "ĠB üyük", + "ĠBü yük", + "Ġ ÙĦت", + "ĠÙĦ ت", + "å° ļ", + "d eme", + "de me", + "dem e", + "ü b", + "ĠÑħ Ñĥд", + "Ġlé ka", + "çĽ Ľ", + "缴 æİ¥", + "ниÑĨÑĤ ва", + "ĠпÑĢи Ñĩин", + "ĠпÑĢиÑĩ ин", + "е ÑĢап", + "еÑĢ ап", + "еÑĢа п", + "ĠÑģозд а", + "ĠÑģоз да", + "æ ¢°", + "æ¢ °", + "Ġm üz", + "Ġmü z", + "ç³» åĪĹ", + "o uz", + "ou z", + "Ġà¤ĵ र", + "ÑĢ ÑĥÑĩ", + "ÑĢÑĥ Ñĩ", + "Ġ á½", + "Ġá ½", + "μÎŃ Î½Î±", + "μÎŃν α", + "ĠпÑĢед меÑĤ", + "Ġ å²", + "Ġå ²", + "ãĥ³ ãĥģ", + "ãĥ³ãĥ ģ", + "μÎŃ Î½Î·", + "μÎŃν η", + "л Ñĥг", + "лÑĥ г", + "Âł n", + "ĠT arih", + "ĠTar ih", + "Ġ ãĢĪ", + "ĠãĢ Ī", + "Ġb ana", + "Ġban a", + "Ġba na", + "Ġ cÃŃ", + "Ġc ÃŃ", + "Ġvý kon", + "åĽł æѤ", + "Ġt ÅĻi", + "ĠtÅĻ i", + "า à¸ĭ", + "าภĭ", + "v ailable", + "vail able", + "Ġ istem", + "Ġis tem", + "Ġi stem", + "Ġist em", + "ãĥ¥ ãĥ¼", + "Ðķ ÐĿ", + "Ġ гаÑĢ", + "Ġг аÑĢ", + "οÏħ λ", + "ॠĽ", + "ĠÙĪ ضع", + "ส ะ", + "è· Ŀ", + "ĠØŃ Ùģ", + "ิà¸Ĺย าล", + "ิà¸Ĺยา ล", + "她 çļĦ", + "н ÑĸÑĪ", + "нÑĸ ÑĪ", + "ж ение", + "же ние", + "жен ие", + "기 ìĹIJ", + "Ġ éĺ¿", + "Ġéĺ ¿", + "ĠÙħ ارس", + "ĠÙħا رس", + "ĠÙħار س", + "ĠçeÅŁit li", + "Ġ ÅŁehir", + "ĠÅŁ ehir", + "ĠÅŁeh ir", + "á tor", + "át or", + "à¹ī à¸Ĺ", + "ìĿ´ ëĬĶ", + "Ġ è²", + "Ġè ²", + "é¡ į", + "ç ĻĤ", + "çĻ Ĥ", + "Ġ ниÑĩ", + "Ġн иÑĩ", + "Ġни Ñĩ", + "Ġ ê°Ģì§Ģ", + "Ġê°Ģ ì§Ģ", + "ä¼ ¦", + "r án", + "rá n", + "o stat", + "os tat", + "ost at", + "osta t", + "Ġ ÙĦÙĥ", + "ĠÙĦ Ùĥ", + "è º", + "ĠNg Ãłnh", + "Ġस द", + "æľ Ĺ", + "çĦ¶ åIJİ", + "ãĤ¸ ãĤ§", + "л еÑĢ", + "ле ÑĢ", + "ĠÐŀ на", + "ĠÐŀн а", + "س ÙĪÙĨ", + "سÙĪ ÙĨ", + "Ïģ ον", + "Ïģο ν", + "ĠدرÛĮ اÙģت", + "ĠدرÛĮا Ùģت", + "à¸Ń à¸Ńà¸Ļà¹Ħลà¸Ļ", + "Ġ dál", + "Ġd ál", + "Ġdá l", + "ĠмÑĸÑģ ÑĨе", + "Ġд ней", + "Ġ اÙĦات", + "Ġا ÙĦات", + "ĠاÙĦ ات", + "Ġरह त", + "ï¼Į 对", + "è³ĩ æĸĻ", + "ä»» ä½ķ", + "é Ħ", + "t aj", + "ta j", + "β ά", + "Ġна до", + "Ġнад о", + "ĠÑģÑĤ Ñĥд", + "ĠÅŁ eh", + "ัà¸į à¸į", + "à¥ĭ ब", + "ãĥ© ãĥ¼", + "Û± Ûµ", + "Û±Û µ", + "e pt", + "ep t", + "Ġbil dir", + "Ġbild ir", + "ส à¸ĸาà¸Ļ", + "สà¸ĸ าà¸Ļ", + "е ÑĤÑĮÑģÑı", + "еÑĤÑĮ ÑģÑı", + "sk ým", + "ský m", + "Ġобла ÑģÑĤÑĮ", + "ĠоблаÑģ ÑĤÑĮ", + "ĠоблаÑģÑĤ ÑĮ", + "Ġìŀ ł", + "ĠG ör", + "ĠGö r", + "Ġd ayan", + "Ġday an", + "Ġda yan", + "ĠÛĮ اد", + "ĠÛĮا د", + "çĶŁ 产", + "íĺ ij", + "å¾ ģ", + "Ġ اجر", + "Ġا جر", + "Ġاج ر", + "Ġп ÑĢе", + "ĠпÑĢ е", + "ä¸īä¸ī ä¸īä¸ī", + "åŁİ å¸Ĥ", + "Ġ пÑĢимеÑĢ", + "ĠпÑĢ имеÑĢ", + "ĠпÑĢи меÑĢ", + "ĠпÑĢим еÑĢ", + "Äį ást", + "èģ ĺ", + "ĠÙħرب ÙĪØ·", + "æŀ ļ", + "åĪ Ģ", + "æŁ¥ çľĭ", + "Ġ모 ëijIJ", + "ìŀIJ ë£Į", + "- ､", + "Ġê°Ļ ìĿ´", + "Ġ ì¡´", + "Ġì ¡´", + "Ġì¡ ´", + "е гоÑĢ", + "ег оÑĢ", + "его ÑĢ", + "e dik", + "ed ik", + "edi k", + "и мÑĥ", + "им Ñĥ", + "ĠAr th", + "ĠArt h", + "åºĶ çĶ¨", + "m iÅŁti", + "miÅŁ ti", + "Ġkhá»ı e", + "Ġ Ñĸд", + "ĠÑĸ д", + "λ λη", + "λλ η", + "â h", + "м аг", + "ма г", + "éļ Ĩ", + "ĠвнÑĥ ÑĤÑĢ", + "ĠвнÑĥÑĤ ÑĢ", + "Ġ بط", + "Ġب Ø·", + "( æĹ¥", + "Ä° Y", + "л ик", + "ли к", + "ĠB ản", + "Ġت ÙĪس", + "ĠتÙĪ س", + "़ त", + "a mak", + "am ak", + "ama k", + "åķı é¡Į", + "ĠÑģам оÑģÑĤ", + "ĠÑģамо ÑģÑĤ", + "ï¼¼ Ċ", + "Ġ ç¦ı", + "Ġç¦ ı", + "Ù ¡", + "Ġ ÑĦоÑĢми", + "ĠÑĦоÑĢм и", + "ĠÑĦоÑĢ ми", + "Ġ ÑĢозÑĥм", + "ĠÑĢоз Ñĥм", + "ĠÙħ طاÙĦ", + "ĠÙħØ· اÙĦ", + "ä¹Ł æĺ¯", + "ç¾İ åĽ½", + "ëĵľ 립ëĭĪëĭ¤", + "Ġl Ä©nh", + "ĠпоÑĤ омÑĥ", + "ĠпоÑĤом Ñĥ", + "Ñı бÑĢÑı", + "Ñıб ÑĢÑı", + "æ¼ «", + "Ġng oại", + "à¸Ń ำ", + "ÙĬ ÙĨا", + "ÙĬÙĨ ا", + "Ġm lad", + "Ġml ad", + "Ïĥ ÏĦά", + "ÏĥÏĦ ά", + "ا تر", + "ات ر", + "주 ìĿĺ", + "ен нÑĸ", + "о за", + "оз а", + "ÙĤ ات", + "ĠÐĴ аÑģ", + "è® Ń", + "é IJ", + "Ñĥ ÑİÑĩи", + "ÑĥÑİ Ñĩи", + "Ġ کر", + "ĠÚ© ر", + "Ġ .|", + "Ġ. |", + "Ġgen ç", + "è© ²", + "ä» ģ", + "о дÑĭ", + "од Ñĭ", + "ĠØ£ ÙĪÙĦ", + "ĠØ£ÙĪ ÙĦ", + "Ġ ìĤ¬íļĮ", + "ĠìĤ¬ íļĮ", + "Ġ à¹Ģส", + "Ġà¹Ģ ส", + "Ġà¹Ģภª", + "ĠëķĮ문 ìĹIJ", + "âĢĮ ب", + "Ġли ÑĪÑĮ", + "ĠлиÑĪ ÑĮ", + "Ġи менно", + "Ġим енно", + "m adı", + "ma dı", + "mad ı", + "Ġ éĤ", + "Ġé Ĥ", + "ĠÙĪ ارد", + "ĠÙĪا رد", + "Ġtak ım", + "Ġ à¹Ģห", + "Ġà¹Ģ ห", + "Ġà¹Ģภ«", + "Ġ à¸Ńย", + "Ġà¸Ń ย", + "Ġkon usu", + "Ġkonu su", + "Ġkonus u", + "Ø® ÙĪ", + "ĠÑģ ид", + "ĠÑģи д", + "èµ ¤", + "о ÑıÑĤелÑĮ", + "оÑıÑĤ елÑĮ", + "ëĭ µ", + "ε Ïī", + "Ñĸ Ñħ", + "Ġय द", + "ĠÚ© ÛĮÙģ", + "ĠÚ©ÛĮ Ùģ", + "μ οÏĤ", + "μο ÏĤ", + "Ġal dı", + "Ġald ı", + "Ġ íĻį", + "ĠíĻ į", + "к Ñĥп", + "кÑĥ п", + "ĠÙĨÙħ اÛĮØ´", + "ĠÙĨÙħاÛĮ Ø´", + "ãģ ¥", + "Ġ íķ©ëĭĪëĭ¤", + "Ġíķ ©ëĭĪëĭ¤", + "Ġíķ© ëĭĪëĭ¤", + "Ġë Įĵê¸Ģ", + "б оÑĢа", + "бо ÑĢа", + "боÑĢ а", + "éī Ħ", + "Ġ à¹Ģà¸Ī", + "Ġà¹Ģ à¸Ī", + "Ġà¹ĢภĪ", + "à¹ī à¸ģ", + "§ Ø·", + "ر بÙĩ", + "رب Ùĩ", + "Ġ Ñĥз", + "ĠÑĥ з", + "Ġм аÑİÑĤÑĮ", + "Ġма ÑİÑĤÑĮ", + "Ġby li", + "Ġbyl i", + "ี à¸ķ", + "Ġ ì§ĢìĽIJ", + "Ġì§Ģ ìĽIJ", + "èĩª çĦ¶", + "ù y", + "Ġç aÄŁ", + "Ġça ÄŁ", + "е дин", + "ед ин", + "еди н", + "ë ī´", + "åį ±", + "Ġпоз волÑı", + "Ġпозвол Ñı", + "ØŃ Ø§Ø¯", + "ĠÑĩ его", + "ีย ร", + "Ġyön tem", + "Ġ ders", + "Ġd ers", + "Ġde rs", + "Ġder s", + "Ġ ÑģÑĤоÑı", + "ĠÑģÑĤ оÑı", + "ĠÑģÑĤо Ñı", + "Ġк ÑĢÑĥп", + "Ġ ð", + "Ġдом аÑĪ", + "Ġдома ÑĪ", + "е нд", + "ен д", + "ç» §", + "ĠÄij ô", + "Ġch tÄĽ", + "计 åĪĴ", + "ÎŃ Î±", + "Ġdob ÅĻe", + "ส à¸Ńà¸ļ", + "е ление", + "ел ение", + "еле ние", + "елен ие", + "ĠÄij ông", + "ĠÄijô ng", + "ãģ¾ ãĤĬ", + "Ġboy unca", + "à¥ģ à¤Ĺ", + "à¥ģठĹ", + "ĠÑĦ из", + "ãĤ³ ãĥ³", + "Ġde ney", + "Ġden ey", + "ÑĩеÑģ киÑħ", + "Ñĩе ÑģкиÑħ", + "ÑĩеÑģки Ñħ", + "λ ον", + "λο ν", + "以 åıĬ", + "ا ÙĪت", + "اÙĪ ت", + "Âł ³³³³", + "³³ ³³³", + "³³³³ Âł", + "³³³ ³³", + "Ġ ì¤Ħ", + "Ġì¤ Ħ", + "ि फ", + "िठ«", + "ĠÑĤ ол", + "ĠÑĤо л", + "ĠëĤ´ ê°Ģ", + "âĸ ı", + "Ġp há", + "Ġph á", + "ĠÑģп Ñĸв", + "Ġ جÙħÙĬع", + "ĠجÙħ ÙĬع", + "Ġb ezpeÄį", + "Ġbez peÄį", + "Ġ æĹł", + "ĠæĹ ł", + "Ġv Å¡e", + "ĠvÅ¡ e", + "ÑģÑĤ вÑĥ", + "ÑģÑĤв Ñĥ", + "d ust", + "du st", + "o Å¡", + "Ġت ارÙĬØ®", + "ا ØŃØ©", + "اØŃ Ø©", + "ĠÙħشار ÙĥØ©", + "Ġ ακ", + "Ġα κ", + "ั à¸Ļà¸Ļ", + "ัà¸Ļ à¸Ļ", + "éģ Ĭ", + "Ġ ÑģоÑĤ", + "ĠÑģ оÑĤ", + "ĠÑģо ÑĤ", + "Ġ каз", + "Ġк аз", + "Ġка з", + "ĠÑĤ еÑĩение", + "ĠÑĤеÑĩ ение", + "ê¸ ´", + "acak tır", + "ê±° ëĤĺ", + "ี ยม", + "ีย ม", + "ĠÑģ ÑĥÑħ", + "ĠÑģÑĥ Ñħ", + "ĠëĦĪ 무", + "ãģı ãĤĭ", + "ĠкоÑĤоÑĢ ой", + "ا ÙĤØ©", + "اÙĤ Ø©", + "y ıl", + "yı l", + "ãĤ» ãĥĥãĥĪ", + "ĠÑį лем", + "æģ IJ", + "ÙĨ اء", + "ÙĨا Ø¡", + "åħ ©", + "Ġte Äı", + "ä¸ ¥", + "Ġì§Ī 문", + "Ġ 为", + "Ġä¸ º", + "ìĭľ íĹĺ", + "Ġп ÑĢок", + "ĠпÑĢ ок", + "ĠпÑĢо к", + "u jeme", + "uj eme", + "uje me", + "ü cü", + "üc ü", + "ĠاÙĦÙħ غ", + "ĠØŃ Ø³Ø§Ø¨", + "ĠØŃس اب", + "ãģĹ ãģ¦ãģĦ", + "ãģĹãģ¦ ãģĦ", + "к ова", + "ко ва", + "ков а", + "ĠÄij Ãło", + "Ġп ÑĢиз", + "ĠпÑĢ из", + "ĠпÑĢи з", + "ĠÙĪ ÙħÙĨ", + "ĠÙĪÙħ ÙĨ", + "Ġ оÑĢ", + "Ġо ÑĢ", + "à¸ģ à¸ķ", + "а ÑĦ", + "Ġ à¸ŀร", + "Ġà¸ŀ ร", + "ÑĨи ей", + "æ ª", + "Ġ působ", + "Ġp ůsob", + "Ġpů sob", + "åŃ© åŃIJ", + "Ġb ánh", + "Ġbán h", + "ĠÑĦоÑĢм Ñĥ", + "ĠÑĦоÑĢ мÑĥ", + "Ġ á»ķ", + "Ġá» ķ", + "Ġмен ее", + "Ġмене е", + "à¹ī าห", + "à¹īา ห", + "ни ÑĨа", + "ниÑĨ а", + "ี Ċ", + "Ġв олоÑģ", + "Ġвол оÑģ", + "Ġار ائÙĩ", + "第 ä¸ī", + "ëIJĺ ìĹĪ", + "Ġkıs m", + "Ġkı sm", + "ãĥ¼ ãĥĬ", + "ãĥ¼ãĥ Ĭ", + "ler imiz", + "ÙĨ ÙĬÙĨ", + "ÙĨÙĬ ÙĨ", + "Ġ NgÆ°á»Ŀi", + "ĠNg Æ°á»Ŀi", + "ĠоÑĤ дел", + "ĠоÑĤд ел", + "çļĦ æŶåĢĻ", + "о нов", + "он ов", + "Äį an", + "i zm", + "iz m", + "ĠÑģоб ой", + "à¹ĩ à¸ķ", + "Ġ ÑģлÑĸд", + "ĠÑģ лÑĸд", + "ĠÑģл Ñĸд", + "Ġ à¤ľà¤¹", + "Ġà¤ľ ह", + "ï¼Į æĪij们", + "ï¼ĮæĪij 们", + "ãĢĤ ãģĿãģ®", + "ÏĢ ÏīÏĤ", + "çĨ Ł", + "ภ¯", + "ëĦ IJ", + "æľ ĭ", + "Ġë¹Ħ ë°Ģ", + "ëį ķ", + "Ġm Ãłn", + "ĠmÃł n", + "ìĿ´ ê³ł", + "ëŀľ ëĵľ", + "éĤ Ħ", + "Ä±ÅŁ ık", + "Ä±ÅŁÄ± k", + "Ġ 个", + "Ġä¸ ª", + "Ġn ád", + "Ġná d", + "б ÑĢа", + "æĮĩ å®ļ", + "lar ıyla", + "ları yla", + "ĠÐŀ ни", + "ĠÐŀн и", + "Ġ hra", + "Ġh ra", + "Ġhr a", + "ĠÑĢе ÑĨеп", + "ĠÐłÐ¾Ñģ Ñģий", + "å½± åĵį", + "Ġ Když", + "ĠK dyž", + "ĠÃ¶ÄŁ renc", + "ĠÃ¶ÄŁren c", + "åī µ", + "Ġ jist", + "Ġj ist", + "Ġji st", + "èĪ Ī", + "è§ ¦", + "åıij çİ°", + "ม าย", + "มา ย", + "er ken", + "erk en", + "Ġзд еÑģÑĮ", + "ĠÙħس ئ", + "@n ate", + "ĠëĤ´ ìļ©", + "Ġnab ÃŃd", + "ĠnabÃŃ d", + "Û Ģ", + "Ġмо менÑĤ", + "Ġмом енÑĤ", + "ãģł ãģĮ", + "ί δα", + "ίδ α", + "T ak", + "Ta k", + "Ġ ë³´ê³ł", + "Ġë³´ ê³ł", + ": ::::::::", + ":: :::::::", + ":::: :::::", + ":::::: :::", + ":::::::: :", + "::: ::::::", + "::::: ::::", + "::::::: ::", + "ÄŁ men", + "Ġпо меÑī", + "Ġпом еÑī", + "ãģ«ãģ¤ ãģĦãģ¦", + "ĠÙģ ÙĪÙĤ", + "ĠÙģÙĪ ÙĤ", + "Ġع ضÙĪ", + "ĠÙħ ÛĮاÙĨ", + "ĠÙħÛĮ اÙĨ", + "Ġm üc", + "Ġmü c", + "ĠпÑĢо Ñıв", + "ÑĩеÑģ ки", + "Ñĩе Ñģки", + "ãģł ãģĭãĤī", + "éĤ ¦", + "Ġ ë¶ĦìĦĿ", + "Ġë¶Ħ ìĦĿ", + "éŁ ©", + "į ¨", + "ĠD aha", + "ĠDa ha", + "ĠDah a", + "Ġ κÏĮ", + "Ġκ ÏĮ", + "Ġна Ñĩина", + "ĠнаÑĩ ина", + "ĠÐŁ оÑĤ", + "ĠÐŁÐ¾ ÑĤ", + "Ïĥκε Ïħ", + "Ïĥκ εÏħ", + "Ġ ÑĢан", + "ĠÑĢ ан", + "ĠÑĢаР½", + "ĠÑĢа н", + "ÙĪ ÙĬس", + "ÙĪÙĬ س", + ": :::::::::", + ":: ::::::::", + ":::: ::::::", + ":::::: ::::", + ":::::::: ::", + "::: :::::::", + "::::: :::::", + "::::::: :::", + "::::::::: :", + "Û±Û¹ Û¹", + "Ġard ından", + "à¹Ĥ à¸Ķ", + "ا راÙĨ", + "ار اÙĨ", + "ارا ÙĨ", + "د اد", + "دا د", + "Ġqu ý", + "ĠØ£Ùĥ ثر", + "âĹ Ĩ", + "ĠØ£ خرÙī", + "Ġأخ رÙī", + "Ġë§Ī ìĿĮ", + "ë¦ ´", + "Ġ عÙĦÙĪÙħ", + "ĠعÙĦ ÙĪÙħ", + "Ġe ÄŁ", + "воÑĢ Ñİ", + "во ÑĢÑİ", + "Ġ ãĥĹ", + "Ġãĥ Ĺ", + "Ñĥ ÑĩаÑģ", + "ÑĥÑĩ аÑģ", + "ÑĥÑĩа Ñģ", + "Ġب Ø£", + "ÏĨ ο", + "ни ками", + "ник ами", + "ника ми", + "никам и", + "à¹ĥ à¸ķ", + "Äįet nÄĽ", + "à¸ļ าà¸ĩ", + "çī Ļ", + "ãĥª ãĤ«", + "í Ĵ", + "åĩº çīĪ", + "γ ι", + "ãĢĤ ãģĿãĤĮ", + "Ġy ani", + "Ġya ni", + "Ġyan i", + "l ech", + "le ch", + "lec h", + "ĠLu áºŃt", + "çļĦ ãģª", + "Ġneden iyle", + "Ġnedeni yle", + "d ej", + "de j", + "ĠÑģов еÑĢÑĪ", + "Ġph á»ķ", + "ıs ından", + "ısında n", + "Ġch ắc", + "d eÅŁ", + "de ÅŁ", + "Ġком ан", + "Ġко ман", + "æĽ ¿", + "Ġp lán", + "Ġpl án", + "Ġplá n", + "Ġd ữ", + "ĠêµŃ ê°Ģ", + "Ġta kip", + "Ġtak ip", + "Ġth ủy", + "Ġthủ y", + "Ñģ лÑĸд", + "Ñģл Ñĸд", + "âī §", + "ĠI IC", + "ĠII C", + "θ Ïħ", + "á vat", + "áv at", + "Ġ Ñģок", + "ĠÑģ ок", + "ĠÑģо к", + "Ġб агаÑĤо", + "Ġбаг аÑĤо", + "ĠбагаÑĤ о", + ";:;: ;:;:", + "Ïģ ιοÏĤ", + "Ïģι οÏĤ", + "Ïģιο ÏĤ", + "il miÅŁtir", + "ilm iÅŁtir", + "ilmiÅŁ tir", + "Ġ znam", + "Ġz nam", + "Ġzn am", + "Ġ Τα", + "ĠΤ α", + "a maz", + "am az", + "ama z", + "à¹ģ à¸ŀ", + "ãĥģ ãĥ£", + "Ġkullan ı", + "æĶ¾ éĢģ", + "д н", + "ĠÙĪ اب", + "ĠÙĪا ب", + "Ġtr ắng", + "Ñģ Ñıг", + "ÑģÑı г", + "Ġار تباط", + "Ġв Ñħод", + "å·ŀ å¸Ĥ", + "Ġ सत", + "Ġस त", + "Ñĩ аеÑĤÑģÑı", + "Ñĩа еÑĤÑģÑı", + "ÑĩаеÑĤ ÑģÑı", + "íĮĮ íĬ¸", + "Ġ Những", + "ĠNh ững", + "ä¸į åı¯", + "å± Ĭ", + "Ġ ãĤŃ", + "ĠãĤ Ń", + "ار ÙĩاÛĮ", + "ارÙĩ اÛĮ", + "Ġar ÅŁiv", + "Ġ اÙĦÙī", + "Ġا ÙĦÙī", + "ĠاÙĦ Ùī", + "ाय à¤ķ", + "ãģĹ ãĤĩãģĨ", + "ãģĹãĤĩ ãģĨ", + "Ġ ulus", + "Ġu lus", + "Ġul us", + "al axy", + "ala xy", + "기 ê°Ģ", + "ãİ¡ (", + "μά ÏĦÏīν", + "è n", + "ù i", + "Ġна ÑģÑĤоÑı", + "ĠнаÑģÑĤ оÑı", + "ĠС в", + "ĠоÑģ оби", + "ĠоÑģоб и", + "к ово", + "ко во", + "ков о", + "ĠÑĢеб енка", + "ĠÑĢебен ка", + "ĠÑĤ Ñıж", + "ĠÑĤÑı ж", + "Ġxu á»ijng", + "Ġ ê¶Į", + "Ġê ¶Į", + "о год", + "ог од", + "ого д", + "Ġ ấy", + "è² ł", + "ว à¸Ļ", + "Ġ stanov", + "Ġsta nov", + "Ġstan ov", + "Ġk rál", + "Ġkr ál", + "Ġà¤ĩ सल", + "Ġà¤ĩस ल", + "e be", + "eb e", + "å® ¾", + "ĠдоÑģÑĤаÑĤ оÑĩно", + "II IK", + "III K", + "ÏĢ ά", + "Ġbir kaç", + "ĠاÙĦ ÙħÙĤ", + "ĠاÙĦÙħ ÙĤ", + "ãĥ ¶", + "ĠBaÅŁ kanı", + "ĠBaÅŁkan ı", + "Ġ첨ë¶Ģ íĮĮìĿ¼", + "Ġya rar", + "Ġyar ar", + "äº ¡", + "Ġ ÏĢÏĮ", + "ĠÏĢ ÏĮ", + "Âł Ñģ", + "δ ή", + "e lerini", + "eler ini", + "eleri ni", + "elerin i", + "Ġs uç", + "Ġsu ç", + "Ġд ома", + "Ġдо ма", + "Ġдом а", + "Ġна ÑĢÑĥÑĪ", + "ĠнаÑĢ ÑĥÑĪ", + "Ġ ί", + "ĠÎ ¯", + "Ġê·¸ ìĿĺ", + "çĶµ å½±", + "ا بÙĩ", + "اب Ùĩ", + "к омÑĥ", + "ко мÑĥ", + "ком Ñĥ", + "Ġत ब", + "à¥Ī à¤ł", + "Ġ모 ì§ij", + "Ġ æ±Ł", + "Ġæ± Ł", + "Ġê²ĥ ìĿĢ", + "ον ÏĦαι", + "ĠاÙĦ رÙĬاض", + "è¨ ±", + "Ġhal inde", + "Ġاش ارÙĩ", + "Ġ кÑĢÑĭ", + "Ġк ÑĢÑĭ", + "л ений", + "лен ий", + "ле ний", + "lu ÄŁ", + "Ġdo bu", + "Ġdob u", + "s ik", + "si k", + "à¥ģ à¤Ł", + "à¥ģठŁ", + "Ġ кÑĸн", + "Ġк Ñĸн", + "ãģ¨ ãģį", + "à¥Ĥ स", + "æħ ¢", + "ĠdÄ±ÅŁ ında", + "ĠdÄ±ÅŁÄ± nda", + "ç· ı", + "Ġ bÃŃ", + "Ġb ÃŃ", + "ĠCL IIIK", + "ĠIIC III", + "Ġh erk", + "Ġhe rk", + "Ġher k", + "ãĤı ãģĽ", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Âł ³³³³³", + "³³ ³³³³", + "³³³³ ³³", + "³³³ ³³³", + "³³³³³ Âł", + "اÙĦ د", + "Ġdav ran", + "Äį er", + "Äįe r", + "Ġ ØŁ", + "ĠØ Ł", + "ãģĺãĤĥ ãģªãģĦ", + "Ġd air", + "Ġda ir", + "Ġdai r", + "Ġî ¥¤", + "ั à¸ĩส", + "ัà¸ĩ ส", + "Ġ ëĭ´", + "Ġëĭ ´", + "å¾ ŀ", + "ĠÑįÑĤ иÑħ", + "ĠÑįÑĤи Ñħ", + "è¯ º", + "á» ·", + "е ÑĢиÑģÑĤи", + "еÑĢи ÑģÑĤи", + "ов ÑĭÑħ", + "Ġ ãĥĩ", + "Ġãĥ ĩ", + "ض ÙĬ", + "Ġà¤ī à¤ł", + "Ġnap ÅĻÃŃklad", + "è ´Ŀ", + "è´ Ŀ", + "Ġ Å¡k", + "ĠÅ¡ k", + "ĠبÙĪد ÙĨد", + "ĠبÙĪدÙĨ د", + "vů li", + "éģ ĩ", + "Ġз най", + "Ġзна й", + "Ġзн ай", + "ĠT ham", + "ĠTh am", + "r ani", + "ra ni", + "ran i", + "ا ØŃت", + "اØŃ Øª", + "Ø´ Ùĩ", + "мÑĸнÑĸ ÑģÑĤÑĢа", + "๠ĭ", + "ĠÎij να", + "ĠÎijν α", + "à¥ĭ à¤ļ", + "ç»Ħ ç»ĩ", + "ÑģÑĤ иÑĤ", + "ÑģÑĤи ÑĤ", + "im li", + "åIJį çĦ¡ãģĹãģķãĤĵ", + "åIJįçĦ¡ãģĹ ãģķãĤĵ", + "Ùij Ø©", + "θ μ", + "о лоÑĤ", + "ол оÑĤ", + "оло ÑĤ", + "ย à¸ĩ", + "ãĤī ãĤĮãĤĭ", + "ãĤīãĤĮ ãĤĭ", + "Ġ лиÑĩ", + "Ġл иÑĩ", + "Ġли Ñĩ", + "ов Ñĭе", + "éĢ ĥ", + "Ġ 广", + "Ġå¹ ¿", + "ìĬ ¬", + "Ùħ ÛĮÙĨ", + "ÙħÛĮ ÙĨ", + "ĠìłĦ ì²´", + "ĠÎŃ Ïĩ", + "Ġ ì±ħ", + "Ġì± ħ", + "Ġ hlas", + "Ġh las", + "Ġhl as", + "е кÑĤив", + "ек ÑĤив", + "екÑĤ ив", + "екÑĤи в", + "ĠÏĢ λη", + "lu ÄŁu", + "luÄŁ u", + "好 çļĦ", + "ĠÚĨ ÙĪÙĨ", + "ĠB eled", + "ĠBe led", + "ĠBel ed", + "Ġen gel", + "Ġeng el", + "нÑı Ñı", + "ĠyaÅŁ an", + "Ñĩ ниÑħ", + "ار ÙĬØ©", + "ارÙĬ Ø©", + "म त", + "ãĥĭãĥĭ ãĥĭãĥĭ", + "åĭ ¢", + "Ġ åĨħ", + "ĠåĨ ħ", + "Ġíı¬ íķ¨", + "Ġоб Ñģ", + "Ġth ấp", + "Ġd ây", + "ãĥĸ ãĥ©", + "а ÑĤÑĭ", + "аÑĤ Ñĭ", + "ĠÑģво ей", + "ĠÑģвое й", + "ãĤī ãģªãģĦ", + "åıij çĶŁ", + "e rece", + "er ece", + "ere ce", + "Ġod bor", + "Ġв неÑģ", + "Ġвне Ñģ", + "ĠÄIJ ảng", + "ĠëıĮ ìķĦ", + "ÄĽ li", + "ÄĽl i", + "ı sında", + "ıs ında", + "ısı nda", + "Ġबद ल", + "v nÃŃ", + "vn ÃŃ", + "ãģ® ãģ«", + "Ġпо ÑĤом", + "ĠпоÑĤ ом", + "im de", + "imd e", + "a lama", + "al ama", + "ala ma", + "alam a", + "âĢ ª", + "Ġstej nÄĽ", + "е ÑĢе", + "еÑĢ е", + "éĴ ¢", + "æľº æŀĦ", + "Ġ è³", + "Ġè ³", + "åĶ ±", + "Ġ ëħ¸ì¶ľ", + "Ġëħ¸ ì¶ľ", + "Ġли бо", + "âĢ Ĭ", + "Ġc ez", + "Ġce z", + "ro mÄĽ", + "rom ÄĽ", + "ί Ïīν", + "ÏĨ ή", + "Ġ íĻ©", + "ĠíĻ ©", + "Ġdlou h", + "éª ¨", + "åħ¬ éĩĮ", + "ä¼ ¸", + "Ġ ãĥij", + "Ġãĥ ij", + "ä» Ļ", + "Ġol madı", + "Ġolm adı", + "Ġolma dı", + "е лиÑĩ", + "ел иÑĩ", + "ели Ñĩ", + "ожд ениÑı", + "Ġsöy ledi", + "Ġsöyl edi", + "á tek", + "át ek", + "áte k", + "ìĥ µ", + "ย วà¸ģ", + "ยว à¸ģ", + "Ġ 鼻", + "ĠéĽ »", + "Ġп ев", + "ĠдÑĢÑĥг ие", + "át ku", + "Ġع ÙĪ", + "ov ána", + "ová na", + "ován a", + "ض ر", + "Ġëģ Ŀ", + "ĠíĨµ íķ´", + "Î ĸ", + "Ġv ur", + "Ġvu r", + "åĨ ²", + "Ġп ÑĢек", + "ĠпÑĢ ек", + "ĠпÑĢе к", + "Ġप à¤ķ", + "Ġ à¹Ģà¸Ĺ", + "Ġà¹Ģ à¸Ĺ", + "Ġà¹ĢภĹ", + "ãģ¨ ãģĭ", + "ع ÙĨ", + "å® ĩ", + "ÏĦ ζ", + "Ġn ằm", + "ĠÑģ воб", + "ĠÑģв об", + "ĠÑģво б", + "Ġδ Ïį", + "çĸ Ĺ", + "- й", + "é¦Ļ 港", + "ت ا", + "Ïĥι μο", + "íķ Ħ", + "Ġ 详æĥħ", + "Ġè¯ ¦æĥħ", + "ä¸ ¡", + "Ùİ Ø§ÙĦ", + "Ùİا ÙĦ", + "ĠTr Æ°á»Ŀng", + "e ného", + "en ého", + "ené ho", + "ĠÑĢекомен дÑĥ", + "ÛĮ رÙĩ", + "ÛĮر Ùĩ", + "า à¸ĸ", + "าภĸ", + "ĠÚ© اÙħÙĦ", + "ĠکاÙħ ÙĦ", + "ب Ø·", + "ز ÛĮÙĨÙĩ", + "زÛĮ ÙĨÙĩ", + "Ġдолж на", + "Ġë§İ ìĿĢ", + "âĹıâĹıâĹıâĹı âĹıâĹıâĹıâĹı", + "lep Å¡ÃŃ", + "ал ог", + "ало г", + "ãĤª ãĥ³", + "Ġ ë³Ħ", + "Ġë³ Ħ", + "ı rı", + "ır ı", + "ĠجاÙħ عÙĩ", + "ĠجاÙħع Ùĩ", + "æĽ ľ", + "o jÃŃ", + "oj ÃŃ", + "ĠÑĪ лÑıÑħ", + "Ġhız lı", + "Ġ خصÙĪص", + "Ġخص ÙĪص", + "ÐIJ ÑĢ", + "å ľĺ", + "åľ ĺ", + "Ġжив оÑĤ", + "é ±", + "Ġng ữ", + "Ġv òng", + "èİ «", + "Ġза Ñħод", + "ĠзаÑħ од", + "ìĻ Ħ", + "ĠÑģлед ÑĥÑİÑī", + "éĹ »", + "Ñij ÑĢ", + "Ġch vÃŃ", + "èĥ ľ", + "ãģª ãģĹ", + "Ġtek noloj", + "Ġtekn oloj", + "ej ména", + "Ġ ìłĪ", + "Ġìł Ī", + "ì³ IJ", + "æĻ® éĢļ", + "Ġvý ro", + "Ġay rı", + "Ġayr ı", + "Ġп ÑĢев", + "ĠпÑĢ ев", + "ĠпÑĢе в", + "Ġgó p", + "à¹Ĥ à¸ģ", + "à¸Ĺำ à¹ĥห", + "åı İ", + "åĺ ī", + "Ġte lev", + "Ġtele v", + "Ġtel ev", + "ãģ¨ ãģĵãĤį", + "ëı Į", + "ph yl", + "phy l", + "ร าะ", + "Ġ çĪ", + "Ġç Ī", + "ÑģÑĤ иÑĤÑĥ", + "ÑģÑĤи ÑĤÑĥ", + "ÑģÑĤиÑĤ Ñĥ", + "ï¼Į è¿ĺ", + "ĠÎij γ", + "Äį ku", + "æı ´", + "ाय त", + "æı ı", + "ãĤĤ ãģĹ", + "ĠпеÑĢ еÑģ", + "ĠпеÑĢе Ñģ", + "Ġìĺģ íĻĶ", + "id la", + "idl a", + "åİ ħ", + "ï¼ı :", + "ت رÛĮ", + "تر ÛĮ", + "à¸Ľ à¸ı", + "ĠнаÑģ еленнÑı", + "Ġam aç", + "Ġama ç", + "Ġk do", + "Ġkd o", + "Ġиз веÑģÑĤ", + "ÑĪ иÑĢ", + "ÑĪи ÑĢ", + "ì£ ł", + "Å¡ it", + "Å¡i t", + "Ġt á»ijc", + "Ġtá»ij c", + "ìŀIJ ìĿĺ", + "Ñĩ аÑĤ", + "Ñĩа ÑĤ", + "åı ĥ", + "éĽ ¶", + "å° º", + "Ġ indir", + "Ġin dir", + "Ġind ir", + "Ġна ÑĨÑĸоналÑĮ", + "Ġx anh", + "Ġxa nh", + "ÛĮ دÛĮ", + "ÛĮد ÛĮ", + "Ġин ÑĤеÑĢеÑģ", + "ĠинÑĤеÑĢ еÑģ", + "ĠØ¢ سÛĮ", + "Ġآس ÛĮ", + "éĤ£ 个", + "Ġb ilm", + "Ġbi lm", + "Ġbil m", + "а не", + "ан е", + "ĠtÄĽch to", + "Ñĩ ик", + "Ñĩи к", + "Ġдо Ñħод", + "èĤ¡ 份", + "åħ³ ç³»", + "ãģ«ãģª ãģ£ãģŁ", + "ĠпÑĢед пÑĢи", + "Ġgeç en", + "Ġب ÙĤ", + "Ġvý znam", + "Ġ à¹Ģà¸Ħร", + "Ġà¹Ģ à¸Ħร", + "Ġà¹Ģà¸Ħ ร", + "ĠÑħ ÑĤо", + "Ø´ ÙĬ", + "åıĤ åĬł", + "ÑģÑĤв енного", + "ÑģÑĤвен ного", + "ÑģÑĤвенно го", + "ÑĤ ÑĢон", + "ÑĤÑĢ он", + "ÑĤÑĢо н", + "ÂĢÂĢ ÂĢÂĢ", + "æ¢ Ŀ", + "б ав", + "ба в", + "Û± Û¶", + "Û±Û ¶", + "é¡ º", + "Ġj az", + "Ġja z", + "ĠاÙĦ ÙħÙĦ", + "ĠاÙĦÙħ ÙĦ", + "Ġا ثر", + "Ġاث ر", + "ĠпÑĢи вод", + "ĠпÑĢив од", + "а нÑĥ", + "ан Ñĥ", + "à¥ģ à¤Ń", + "à¥ģठŃ", + "æĹ §", + "ÑĮ е", + "ส ล", + "л ÑıÑİÑĤ", + "лÑı ÑİÑĤ", + "ว à¸Ķ", + "Æ° Ỽi", + "Æ°á» Ľi", + "Æ°á»Ľ i", + "ÙĬ ÙħØ©", + "ÙĬÙħ Ø©", + "ãĤ¯ ãĥŃ", + "л ий", + "ли й", + "γ Ïģά", + "Ġper forman", + "Ġperform an", + "Ġperf orman", + "Ġperfor man", + "è¯ ī", + "ä½ł çļĦ", + "ìħ Ķ", + "н ениÑı", + "не ниÑı", + "нен иÑı", + "á»Ń i", + "ÙĪ زÛĮ", + "ÙĪز ÛĮ", + "éŁ ¿", + "à¥Ī द", + "Ġëª ¸", + "Ġe ser", + "Ġes er", + "Ġese r", + "ĠÙģعاÙĦ ÛĮت", + "нÑĸ веÑĢ", + "нÑĸв еÑĢ", + "κ Ïģα", + "è¨ ¼", + "Ġn emoc", + "Ġnem oc", + "Ġyardım cı", + "Ġ çī¹", + "Ġçī ¹", + "Ġ коп", + "Ġк оп", + "Ġко п", + "ĠÐľ ож", + "़ à¤ķ", + "Ġ ëľ", + "Ġë ľ", + "ĠÑĢе ак", + "Ġp ozor", + "Ġpoz or", + "Âł ÐIJ", + "Ġ ÙĬÙĥ", + "ĠÙĬ Ùĥ", + "ĠÑģ ад", + "Ġ åħ«", + "Ġåħ «", + "Ġп олÑĮз", + "ĠполÑĮ з", + "Ġra ÄŁmen", + "ter nÃŃ", + "tern ÃŃ", + "s iyon", + "si yon", + "Ñģ ÑıÑĩ", + "ÑģÑı Ñĩ", + "ov aný", + "ova ný", + "ovan ý", + "ĠëĮĢíķľ 민êµŃ", + "ĠвÑĸд б", + "ĠÐIJ нд", + "ĠÐIJн д", + "st va", + "éĮ Ħ", + "Ġ ëij", + "Ġë ij", + "ิ à¸Ħ", + "j ÃŃt", + "jÃŃ t", + "Ġkullan ıcı", + "Ġkullanı cı", + "Ġ æŁ¥çľĭ", + "ĠæŁ¥ çľĭ", + "Ùģ ÙĦ", + "Ġ ЯкÑīо", + "ĠЯк Ñīо", + "çľĭ åĪ°", + "ÑĢ еÑħ", + "ÑĢе Ñħ", + "ĠاÙĦع ربÙĬØ©", + "ĠاÙĦعرب ÙĬØ©", + "ĠاÙĦعربÙĬ Ø©", + "ë¡ľê·¸ ëŀ¨", + "Ġब à¤ľ", + "Ġп ÑĢип", + "ĠпÑĢ ип", + "ĠпÑĢи п", + "Ġs chop", + "Ġsc hop", + "Ġsch op", + "Ġscho p", + "Ġب اÙĦا", + "Ġبا ÙĦا", + "ĠباÙĦ ا", + "å® ħ", + "Ġا ÙĦÙħÙĩ", + "ĠاÙĦ ÙħÙĩ", + "ĠاÙĦÙħ Ùĩ", + "α να", + "αν α", + "à¥ĭ व", + "åģ ´", + "å¼Ģ åıij", + "Ùħ اÙĦ", + "Ùħا ÙĦ", + "Ġ धर", + "Ġध र", + "Ġda hil", + "Ġdah il", + "Ġdahi l", + "ãĢģ ãģĵãģ®", + "ัà¸Ī à¸Ī", + "Ñģп ÑĸлÑĮ", + "Ġà¤ķ प", + "Ġв еÑĩ", + "Ġве Ñĩ", + "Ġвид а", + "Ġви да", + "ĠÙħ عÙĨ", + "ĠÙħع ÙĨ", + "ĠоÑĤ ли", + "i á»ħ", + "iá» ħ", + "л иÑĪ", + "ли ÑĪ", + "Ġ ÐŁÐ¾Ñģле", + "ĠÐŁÐ¾Ñģ ле", + "ãģĵ ãģĵ", + "Ġk ültür", + "Ġ جر", + "Ġج ر", + "Ġ æ¼", + "Ġæ ¼", + "èĩ º", + "Ġmev cut", + "Ù¾ ÛĮ", + "ĠاÙĦ سÙĦاÙħ", + "ĠاÙĦس ÙĦاÙħ", + "иÑĤ елей", + "иÑĤе лей", + "Ġ ÑĢоÑģÑĤ", + "ĠÑĢ оÑģÑĤ", + "ĠÑĢоÑģ ÑĤ", + "Ġed il", + "Ġedi l", + "Ġ å·²", + "Ġå· ²", + "ç²¾ åĵģ", + "ä» ħ", + "âĢĻ ye", + "âĢĻy e", + "à¥Īà¤Ĥ .", + "Ġ åĨĨ", + "ĠåĨ Ĩ", + "ëĪ Ħ", + "Ġ ìĻķ", + "ĠìĻ ķ", + "æĺ Ń", + "ĠÎļ ο", + "m eden", + "med en", + "me den", + "Ġo lab", + "Ġol ab", + "Ġola b", + "ĠÚ© ÙĪد", + "ĠÚ©ÙĪ د", + "à¸Ħ าส", + "ен наÑı", + "æĬ ¼", + "yl ül", + "Ġsev iy", + "Ġd ÄĽti", + "ĠdÄĽ ti", + "ĠdÄĽt i", + "âĢ¬ Ċ", + "Ġع ز", + "Ġu á»ijng", + "Ġس رÙħ", + "Ġسر Ùħ", + "е не", + "ен е", + "Ġмал енÑĮ", + "Ġ вÑĸдом", + "Ġв Ñĸдом", + "ĠвÑĸд ом", + "ĠвÑĸ дом", + "ั à¸ļà¸Ĺ", + "ัà¸ļ à¸Ĺ", + "ĠTh ái", + "Ġà¤Ĩव श", + "rove ÅĪ", + "çĽ £", + "ĠÑı зÑĭ", + "ĠO y", + "å£ ģ", + "в аÑĤÑĮ", + "ва ÑĤÑĮ", + "ваÑĤ ÑĮ", + "л адÑĥ", + "ла дÑĥ", + "лад Ñĥ", + "ا صÙĦ", + "اص ÙĦ", + "ot ÅĻeb", + "د ÙĬØ«", + "دÙĬ Ø«", + "íı °", + "νο μ", + "г оÑĢод", + "го ÑĢод", + "гоÑĢ од", + "Ġm uh", + "Ġmu h", + "âĢĻ l", + "ÑģÑĤ воÑĢ", + "ÑģÑĤв оÑĢ", + "ÑģÑĤво ÑĢ", + "åħ Ħ", + "Ðķ Ðł", + "Ø· ÙĦ", + "éľ ĩ", + "Ùİ Øª", + "Ġb lÃŃ", + "Ġbl ÃŃ", + "Ġed ildi", + "Ġedil di", + "éĿ ł", + "äºĮ åįģ", + "æĹ Ĺ", + "Ġç iz", + "ĠÄij ảo", + "Ġo pat", + "Ġop at", + "o ÄŁan", + "oÄŁ an", + "ë² Į", + "Ġ éł", + "Ġé ł", + "Ġseb ep", + "Ġsebe p", + "Ñĥ ÑĤи", + "ÑĥÑĤ и", + "åĪ º", + "Ø· ب", + "ev Å¡ÃŃm", + "c hop", + "ch op", + "cho p", + "çĶ ļ", + "Ġngh á»ģ", + "Ġп аÑĢÑĤ", + "ĠпаÑĢ ÑĤ", + "ุ à¸Ħ", + "Ú© ÛĮÙĦ", + "Ú©ÛĮ ÙĦ", + "d um", + "du m", + "Ġor tak", + "Ġort ak", + "Ġorta k", + "ãģŁ ãģĹ", + "Ġoby vatel", + "Ġv ých", + "Ġvý ch", + "Ġv eren", + "Ġver en", + "Ġve ren", + "Ġvere n", + "Ġв еÑģÑĮ", + "ĠвеÑģ ÑĮ", + "Ġве ÑģÑĮ", + "ĠÐĶ а", + "Ġ íķĺì§Ģë§Į", + "Ġíķĺ ì§Ģë§Į", + "Ġíķĺì§Ģ ë§Į", + "å¦Ĥ æѤ", + "Ġमह त", + "ัà¸ĩà¸ģ ฤษ", + "ãĢĤ è¿Ļ", + "Ġ гал", + "Ġг ал", + "Ġsa nat", + "Ġsan at", + "Ġsana t", + "éł Ĩ", + "ĠÑģам о", + "å Ľ°", + "åĽ °", + "ี à¸Ń", + "ĠBaÅŁ kan", + "ÏĦ οÏħÏĤ", + "ÏĦοÏħ ÏĤ", + "Ġyap tıģı", + "Ġyaptı ģı", + "Ġyaptıģ ı", + "ÅĻ it", + "ÅĻi t", + "ĠÑģ ÑĸлÑĮ", + "ान त", + "Ġ ÙĨت", + "ĠÙĨ ت", + "Ġkh Äĥn", + "à¸Ĭ à¸Ļะ", + "à¸Ĭà¸Ļ ะ", + "м ини", + "ми ни", + "мин и", + "ãĥ¬ ãĥ¼", + "ë Ĥ¬", + "ëĤ ¬", + "éħĴ åºĹ", + "ĠاÙĦÙĬ ÙĪÙħ", + "ä¹ Ĺ", + "à¸Ħรà¸ĩ à¸ģาร", + "Ùģ اÙĤ", + "Ġ à¤ıस", + "Ġà¤ı स", + "Ġ æ¡", + "Ġæ ¡", + "Ú¯ Ø°", + "Ġà¤ĩ ल", + "е лениÑı", + "ел ениÑı", + "еле ниÑı", + "елен иÑı", + "à¸ģ รà¸ĵ", + "à¸ģร à¸ĵ", + "举 西", + "ÎŁ Îľ", + "ÎŁÎ ľ", + "Ġm áºŃt", + "Ġs nÃŃ", + "Ġsn ÃŃ", + " IJ", + "à¹Ģร า", + "íķ´ ìķ¼", + "Ġ ìĦľë¹ĦìĬ¤", + "ĠìĦľ ë¹ĦìĬ¤", + "Ġداخ ÙĦ", + "Ġth ắng", + "íĥ Ī", + "а вÑģÑı", + "ав ÑģÑı", + "Ġ Ñĸм", + "ĠÑĸ м", + "ا Ùħت", + "اÙħ ت", + "Ġ ÙĪÙĤت", + "ĠÙĪ ÙĤت", + "ĠÙĪÙĤ ت", + "à¥Ĥ à¤ģ", + "Ġ èIJ", + "Ġè IJ", + "Ġ سÙĦاÙħ", + "Ġس ÙĦاÙħ", + "ĠسÙĦ اÙħ", + "Ġvz dÄĽl", + "å¸Į æľĽ", + "åŃĺ æ¡£", + "Ġ à¸Ĺำ", + "Ġà¸Ĺ ำ", + "ĠвÑĸй ÑģÑĮ", + "а ÑĢан", + "аÑĢ ан", + "аÑĢа н", + "ĠÑĢ Ñĸк", + "Ġп иÑģÑĮ", + "Ġпи ÑģÑĮ", + "ĠпиÑģ ÑĮ", + "Ġá¼ IJ", + "기 ëıĦ", + "ĠпоÑģÑĤ оÑıн", + "Ġ åĮĹ京", + "ĠåĮĹ äº¬", + "ĠNÄĽ m", + "Ø´ ÙĨاÙħÙĩ", + "Ø´ÙĨ اÙħÙĩ", + "Ġdal Å¡ÃŃch", + "ĠdalÅ¡ÃŃ ch", + "Ġب اع", + "Ġبا ع", + "Ġpo hy", + "Ġpoh y", + "ا ÙĦÙģ", + "اÙĦ Ùģ", + "à¸ŀ วà¸ģ", + "é ĭ", + "Ġ cih", + "Ġc ih", + "Ġci h", + "Ù ¢", + "ä¸ ´", + "ãĤ¯ ãĥĪ", + "п нÑı", + "Ġ дал", + "Ġд ал", + "Ġда л", + "ÙĴ ر", + "ãĢĢ ãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢãĢĢĠãĢĢ ĠãĢĢ", + "ãĢĢãĢĢĠ ãĢĢĠãĢĢ", + "æĬ¥ åijĬ", + "ÙĪ دÛĮ", + "ÙĪد ÛĮ", + "á» £i", + "ợ i", + "ÑĨ ÑĸÑĶÑİ", + "ÑĨÑĸ ÑĶÑİ", + "Ġ ãĥĢ", + "Ġãĥ Ģ", + "ĠÑģÑĤ еп", + "r až", + "ra ž", + "ĠS aÄŁ", + "ĠSa ÄŁ", + "Ġt uyến", + "Ġtuy ến", + "Ġal mak", + "Ġalma k", + "Ġalm ak", + "Ġзаболева ниÑı", + "Ġ ÏĥÏĩ", + "ĠÏĥ Ïĩ", + "Ġ íĭ", + "Ġí ĭ", + "Ġв им", + "Ġви м", + "ç¡ ¬", + "Ġ äºĶ", + "Ġi kinci", + "Ġik inci", + "ุ à¸į", + "ส าว", + "ĠìĦ¸ ê³Ħ", + "ĠÙħ ØŃÙĦ", + "ĠÙħØŃ ÙĦ", + "ระ หว", + "Ġelek tron", + "Ġelekt ron", + "Ġelektr on", + "Ġh ại", + "Ġhạ i", + "æĹ ¢", + "Ġ íĸ¥", + "Ġíĸ ¥", + "Ġji né", + "Ġjin é", + "Ġng he", + "Ġngh e", + "æij ©", + "ĠÑģо бÑĸ", + "ĠÑģоб Ñĸ", + "Æ ¯", + "ÑĤ ÑĥÑĢ", + "ÑĤÑĥ ÑĢ", + "æ±½ 车", + "Ø´ اÙĩ", + "Ġd Ãłnh", + "ä¸ ¹", + "ä»Ĭ æĹ¥", + "ãĥIJ ãĥ¼", + "в аниÑı", + "ва ниÑı", + "ван иÑı", + "Ġ ساÙħ", + "Ġس اÙħ", + "çݯ å¢ĥ", + "ĠاÙĦ ÙħÙĨت", + "ĠاÙĦÙħ ÙĨت", + "ĠاÙĦÙħÙĨ ت", + "ĠÑģеÑĢ д", + "éģ ł", + "ε ÏĦ", + "Ġав ÑĤ", + "าà¸ĩ ว", + "Ġvz tah", + "ru ž", + "алÑĮ наÑı", + "алÑĮна Ñı", + "Ġطر اØŃÛĮ", + "à¹Ĥรà¸ĩ à¹ģรม", + "ĠÄį asto", + "ĠÄįas to", + "ĠÄįast o", + "Ġ ê¼", + "Ġê ¼", + "Ïĥ ÏĦÏĮ", + "ÏĥÏĦ ÏĮ", + "Ġbu rada", + "Ġbur ada", + "ĠÄ° z", + "Ġ ê·¸ëŀĺ", + "Ġê·¸ ëŀĺ", + "å² Ľ", + "ĠØ´ ÙĪÙĨد", + "ĠØ´ÙĪ ÙĨد", + "Å¡ ek", + "Å¡e k", + "Ġ ìĿ´ìķ¼", + "ĠìĿ´ ìķ¼", + "ãĤĮ ãģªãģĦ", + "ê· ¹", + "la mÄ±ÅŁ", + "lam Ä±ÅŁ", + "ä» į", + "cház et", + "cháze t", + "Ġ ÑģÑĥÑĤ", + "ĠÑģ ÑĥÑĤ", + "ĠÑģÑĥ ÑĤ", + "æĹł æ³ķ", + "æµ ¦", + "ÄĽ la", + "ÄĽl a", + "à¹ĥà¸Ļ à¸Ĭ", + "Ġc ân", + "Ġcâ n", + "ÎŁ Îĵ", + "ÎŁÎ ĵ", + "Ġz vý", + "Ġzv ý", + "ĠÙ¾ ار", + "Ġپا ر", + "Ġк лÑĸ", + "Ġкл Ñĸ", + "Ġn ové", + "Ġno vé", + "Ġnov é", + "çĶ ĺ", + "ë¹ ł", + "m á", + "Ġ Ñģол", + "ĠÑģ ол", + "ĠÑģо л", + "à¤ķ रण", + "à¤ķर ण", + "н оÑĩ", + "но Ñĩ", + "Ġ fik", + "Ġf ik", + "Ġfi k", + "Ġà¤ľ à¤Ĺ", + "à¹ĩ à¸Ļà¸ķ", + "à¹ĩà¸Ļ à¸ķ", + "ĠÙħ تØŃ", + "ĠÙħت ØŃ", + "Ġph iên", + "Ġphi ên", + "Ġol sun", + "Ġк аб", + "Ġка б", + "Ġh út", + "èĦ ±", + "Ġ åĸ", + "Ġå ĸ", + "ĠH ải", + "Ġ tÄĽÅ¾", + "Ġt ÄĽÅ¾", + "ĠtÄĽ ž", + "Ġth ái", + "Ġ تاب", + "Ġت اب", + "Ġتا ب", + "- ÐŁ", + "Ø« ار", + "çĨ Ĭ", + "Ġ ними", + "Ġн ими", + "Ġни ми", + "Ġним и", + "Ġzp rac", + "Ġत ह", + "Ġм акÑģим", + "Ġмак Ñģим", + "m eyi", + "me yi", + "mey i", + "ĠÑģ оÑĨи", + "ĠÑģо ÑĨи", + "æ² Ĵ", + "ĠìķĬ ëĬĶ", + "＿ _", + "åķ ¦", + "ĠاÙĨ ÙĪاع", + "æļ ´", + "ä¸Ĭ æµ·", + "åħ· æľī", + "à¥ģ ब", + "à¥ģठ¬", + "ìķ Ļ", + "Ġíģ °", + "Ġíŀ ĺ", + "Ġtr ánh", + "ि यन", + "िय न", + "ãģ¾ ãģ¾", + "п оÑĩ", + "по Ñĩ", + "m ÄĽr", + "mÄĽ r", + "å³ °", + "ĠÙħ صر", + "ĠÙħص ر", + "ĠÑįÑĦ ÑĦекÑĤив", + "ĠÑįÑĦÑĦек ÑĤив", + "Ġ çı", + "Ġç ı", + "ler iyle", + "leri yle", + "âĪ ļ", + "Ġ ì¶ķ", + "Ġì¶ ķ", + "Ġ ê²Įìĭľ", + "Ġê²Į ìĭľ", + "ìĿ ij", + "Ġ poÅĻád", + "Ġpo ÅĻád", + "Ġشب Ú©Ùĩ", + "اÙĩ Ø´", + "ĠخدÙħ ات", + "Ġna Å¡e", + "ĠnaÅ¡ e", + "ν οÏį", + "νο Ïį", + "Ġyön elik", + "Ġk ork", + "Ġko rk", + "Ġkor k", + "ا ÙĩÙħ", + "اÙĩ Ùħ", + "è° Ī", + "Ġ μη", + "Ġμ η", + "Ġd olar", + "Ġdo lar", + "Ġdol ar", + "çµ ¦", + "ĠÎķ Ïħ", + "Ġobdob ÃŃ", + "Ġ μÏĮ", + "Ġμ ÏĮ", + "à¹Ģ à¸Ńà¸ģ", + "à¹Ģà¸Ń à¸ģ", + "Ġپاس Ø®", + "è¡ ¥", + "ا عد", + "اع د", + "ãĤī ãģĦ", + "ÎŃ Î»", + "и ÑĤÑĭ", + "иÑĤ Ñĭ", + "Ġ ëħ¼", + "Ġëħ ¼", + "Ġ^{ [", + "ί γ", + "æł ij", + "l ında", + "lı nda", + "ĠìŬ 룬", + "£ £", + "ÅĻ il", + "ÅĻi l", + "Ġав ÑĤоÑĢ", + "ĠавÑĤ оÑĢ", + "ÏĦ ικÏĮÏĤ", + "ÏĦικ ÏĮÏĤ", + "ÏĦικÏĮ ÏĤ", + "u dur", + "ud ur", + "udu r", + "Ġc Æ°", + "Ġk ıy", + "Ġkı y", + "Ñģ ем", + "Ñģе м", + "ĠØ£ بÙĪ", + "Ġأب ÙĪ", + "ÏĦ ικÏİν", + "ÏĦικ Ïİν", + "Û± Û·", + "Û±Û ·", + "è² ¸", + "Ġп ÑĢож", + "ĠпÑĢ ож", + "ĠпÑĢо ж", + "ün cü", + "Ġ нÑĸÑĩ", + "Ġн ÑĸÑĩ", + "ĠнÑĸ Ñĩ", + "Ġ मत", + "Ġम त", + "ãģķ ãĤĮãģ¦ãģĦãĤĭ", + "ãģķãĤĮ ãģ¦ãģĦãĤĭ", + "ãģķãĤĮãģ¦ ãģĦãĤĭ", + "ا صر", + "اص ر", + "Ġع ÙĤ", + "ĠкаÑĩе ÑģÑĤве", + "ĠÐĵ еÑĢ", + "ĠÐĵе ÑĢ", + "åº Ĩ", + "Ù ¹", + "a larda", + "al arda", + "alar da", + "ĠÙ¾ رس", + "Ġپر س", + "и ÑĩеÑģкой", + "иÑĩеÑģ кой", + "Ġp him", + "Ġph im", + "Ġphi m", + "ί νη", + "ίν η", + "ä¸ĩ åĨĨ", + "i lerini", + "iler ini", + "ileri ni", + "ilerin i", + "ãĢģ 大", + "Ġo lsa", + "Ġol sa", + "æł¹ æį®", + "âĢĮ س", + "ĠTh ủ", + "r oje", + "ro je", + "roj e", + "нÑĮ оÑĹ", + "нÑĮо ÑĹ", + "Ġs lou", + "Ġsl ou", + "Ġslo u", + "ี ฬ", + "ıy orum", + "ıyor um", + "ÄĽ j", + "Ġ خبر", + "ĠØ® بر", + "è® Ĭ", + "Ġ 缸", + "ĠçĽ ¸", + "e lerinin", + "eler inin", + "eleri nin", + "elerin in", + "elerini n", + "íķĻ ëħĦëıĦ", + "íķĻëħĦ ëıĦ", + "ÑĩеÑģ кие", + "Ñĩе Ñģкие", + "ÑĩеÑģки е", + "ĠÅŁ ekl", + "ĠÅŁek l", + "Ġز ÙħاÙĨÛĮ", + "ĠزÙħاÙĨ ÛĮ", + "ĠزÙħ اÙĨÛĮ", + "Ġ xin", + "Ġx in", + "Ġxi n", + "ัà¸ģ à¸ĩาà¸Ļ", + "ĠE kim", + "ĠEk im", + "æĦ ¿", + "Ġод ной", + "Ġодно й", + "ν ή", + "æľĢ æĸ°", + "ĩ ¼", + "Ġн иж", + "Ġни ж", + "Ġ ë³¼", + "Ġë³ ¼", + "è· ij", + "Ġна пиÑģ", + "Ġнап иÑģ", + "èģ ĸ", + "Ġ âĢĮ", + "ĠâĢ Į", + "æłĩ åĩĨ", + "Ġv rát", + "Ġvr át", + "ĠV ì", + "Ġ ÙģراÙĨ", + "ĠÙģ راÙĨ", + "ĠÙģر اÙĨ", + "æĿ¥ çļĦ", + "å§ ¿", + "Ñħ Ñĥ", + "ĠبÛĮر ÙĪÙĨ", + "Ġд ÑĥÑĪ", + "ĠдÑĥ ÑĪ", + "в аÑİÑĤ", + "ва ÑİÑĤ", + "Ġs ebe", + "Ġse be", + "Ġseb e", + "é» ĺ", + "Ġkay ıt", + "Ġkayı t", + "Ïģ θ", + "ãģ¨ ãģ®", + "ĠпÑĢоÑĨ еÑģÑģ", + "ĠпÑĢоÑĨеÑģ Ñģ", + "æĮģ ãģ¡", + "Ñĸ на", + "Ñĸн а", + "Ġ ÑĤоÑĤ", + "ĠÑĤ оÑĤ", + "ĠÑĤо ÑĤ", + "ĠÑĤак ие", + "ĠÑĤа кие", + "The o", + "Th eo", + "ĠÙĨ ÛĮر", + "ĠÙĨÛĮ ر", + "ÑĨ Ñĥ", + "Ġay ak", + "à¸Ļ à¸Ń", + "Ġsit esinde", + "Ġsites inde", + "Ġsitesi nde", + "ĠÚ©ÙĨ ÛĮÙħ", + "ĠÑģ оÑħ", + "ĠÑģо Ñħ", + "Ġम à¤ľ", + "Ġol uyor", + "ç½ij åĿĢ", + "ĠÙ¾ زش", + "ĠE ylül", + "d Ã¼ÄŁ", + "dü ÄŁ", + "Ġبر Ø®ÛĮ", + "Ġبرخ ÛĮ", + "ĠÙħع رÙģ", + "Ġ obec", + "Ġo bec", + "Ġob ec", + "Ġobe c", + "ĠçalÄ±ÅŁ ma", + "Ġçal Ä±ÅŁma", + "ìĦ¼ íĦ°", + "ĠÑģво ÑĶ", + "оÑģÑĤ ей", + ": ::::::::::", + ":: :::::::::", + ":::: :::::::", + ":::::: :::::", + ":::::::: :::", + "::: ::::::::", + "::::: ::::::", + "::::::: ::::", + "::::::::: ::", + ":::::::::: :", + "Ġ алÑĮ", + "Ġа лÑĮ", + "Ġал ÑĮ", + "ç« Ł", + "Ġباش ÙĨد", + "اÙĦ Ø«", + "Ġнай б", + "Ġп ока", + "Ġпо ка", + "Ġпок а", + "Î ŀ", + "ĠÙĪ Ø¥", + "Ġ Ø®ÙĪاÙĨ", + "ĠØ® ÙĪاÙĨ", + "ĠØ®ÙĪ اÙĨ", + "à¥ģप य", + "Ġ à¹ĥห", + "ĠбÑĭ ÑģÑĤÑĢо", + "Ġth á»Ń", + "Ġthá» Ń", + "ëģ ¼", + "Ġ å¤ļ", + "Ġå¤ ļ", + "两 个", + "ม à¸ķ", + "ز ارش", + "زار Ø´", + "زا رش", + "Ġ ëŁ", + "Ġë Ł", + "य ह", + "Ñī ина", + "Ñīи на", + "Ñīин а", + "ầ ng", + "ần g", + "ï½Ĺ ï½Ĺ", + "à¹Ģà¸ŀ ลà¸ĩ", + "à¹Ģà¸ŀล à¸ĩ", + "tv rt", + "ĠÑĸн ÑĪÑĸ", + "ĠÑĸнÑĪ Ñĸ", + "λ εί", + "λε ί", + "Ġv iá»ĩn", + "Ġvi á»ĩn", + "ij ¸", + "Ġ çĻ½", + "ĠçĻ ½", + "Ùİ ÙĪ", + "Ġch ứa", + "Ġchứ a", + "st vo", + "ĠdoÄŁ r", + "Ġ iler", + "Ġi ler", + "Ġil er", + "Ġile r", + "à¥ĭ ,", + "à¹ĥà¸Ļ à¸Ľ", + "Ġر ÙĪست", + "ĠرÙĪ ست", + "ÙĪ ÙĦÙĪ", + "ÙĪÙĦ ÙĪ", + "Å¡ lo", + "ал иÑģÑĤ", + "али ÑģÑĤ", + "åħ± åĴĮ", + "à¸ŀ ย", + "Ġ ìĻĢ", + "ĠìĻ Ģ", + "ÙĦ ÙĬÙĦ", + "ÙĦÙĬ ÙĦ", + "ĠÑı кого", + "ĠÑıк ого", + "е ÑģÑĤÑĮ", + "еÑģ ÑĤÑĮ", + "еÑģÑĤ ÑĮ", + "ĠÑĦ ин", + "ĠØ£ ÙĨÙĩ", + "ĠØ£ÙĨ Ùĩ", + "ĠMü dür", + "ĠÎĶ ια", + "ĠÎĶι α", + "ĠÑĤ ел", + "ĠÑĤе л", + "ि ,", + "Ñĥ ки", + "Ñĥк и", + "ĠÐł Ф", + "ĠMay ıs", + "à¹Ī à¸Ńม", + "à¹Īà¸Ń ม", + "ar ken", + "ark en", + "æĢ ķ", + "ب ÛĮÙĨ", + "بÛĮ ÙĨ", + "ÑĤ аÑħ", + "ÑĤа Ñħ", + "e bo", + "eb o", + "ë³´ ì¦Ŀê¸Ī", + "ĠÙ¾ ÙĦ", + "Ġг Ñĥб", + "Ġв клÑİÑĩ", + "Ġвк лÑİÑĩ", + "æĶ¿ æ²»", + "Ġε ÏĢιÏĥ", + "ĠεÏĢ ιÏĥ", + "ĠεÏĢι Ïĥ", + "ĠÙģار سÛĮ", + "ĠÙģارس ÛĮ", + "èŃ ī", + "ÏĨ η", + "( éĩij", + "ศ ร", + "åī §", + "âĢĻ ya", + "âĢĻy a", + "å¹´ 度", + "ĠÙĨ رÙħ", + "Ùĥ ÙĪÙħ", + "ÙĥÙĪ Ùħ", + "è¢ ĭ", + "Ġneden le", + "à¹īà¸Ńà¸ĩ à¸ģาร", + "à¹īà¸Ńà¸ĩà¸ģ าร", + "ãĢĮ ãģĤ", + "Ġп оÑģÑĤÑĥп", + "Ġпо ÑģÑĤÑĥп", + "ĠпоÑģÑĤ Ñĥп", + "ìľĦ ìĽIJ", + "åį ĺ", + "èİ ±", + "Ġum ož", + "p ok", + "po k", + "Ñĥ ÑģÑĤи", + "ÑĥÑģ ÑĤи", + "ÑĥÑģÑĤ и", + "Ġ éħ", + "Ġé ħ", + "ĠÑĦ Ñĸз", + "å» £", + "ิ หาร", + "Ġж ÑĥÑĢн", + "ĠдÑĸÑĤ ей", + "Ñĥ ÑİÑīие", + "ÑĥÑİ Ñīие", + "ÑĥÑİÑī ие", + "ä»Ĭ 天", + "ìĿ´ ëĿ¼ê³ł", + "ìĿ´ëĿ¼ ê³ł", + "ç² ī", + "èĴ Ļ", + "ĠDün ya", + "ĠDüny a", + "егод нÑı", + "Ġm imo", + "Ġmi mo", + "Ġmim o", + "Ġ вин", + "Ġв ин", + "Ġви н", + "ãģĿ ãģĵ", + "æ¯ ķ", + "ĠØ£ Ø®", + "Ġ åIJĮ", + "ĠåIJ Į", + "س اÙĨÛĮ", + "ساÙĨ ÛĮ", + "Ġ kah", + "Ġk ah", + "Ġka h", + "ि यर", + "िय र", + "ÏĢ οÏĤ", + "ÏĢο ÏĤ", + "j ez", + "je z", + "ÙĬ ج", + "ĠsaÄŁ lay", + "ا جÙĩ", + "اج Ùĩ", + "Ġ çł", + "Ġç ł", + "ï ľ", + "Ġج ست", + "Ġt ức", + "Æ° Æ¡i", + "Æ°Æ¡ i", + "Ø´ Ùģ", + "ส à¸ķ", + "Ġ ÑĢеÑģ", + "ĠÑĢ еÑģ", + "ĠÑĢе Ñģ", + "Ġ å£", + "Ġå £", + "Ġbi zim", + "Ġbiz im", + "Ġbizi m", + "Ġ ê·Ģ", + "Ġê· Ģ", + "ि ब", + "िठ¬", + "ë¡ľ ìļ´", + "ĠÑģ ÑĤал", + "ĠÑģÑĤ ал", + "ĠÑģÑĤа л", + "Ġ ÑĢÑĥÑģ", + "ĠÑĢ ÑĥÑģ", + "ĠÑĢÑĥ Ñģ", + "ĠO cak", + "ĠOc ak", + "åľ £", + "Ġ úÄįast", + "Ġú Äįast", + "ĠúÄį ast", + "ive rz", + "iver z", + "ëĤĺ ëĬĶ", + "о ÑĢоÑĤ", + "оÑĢ оÑĤ", + "оÑĢо ÑĤ", + "Ñĩ инÑĭ", + "Ñĩи нÑĭ", + "Ñĩин Ñĭ", + "Ġihtiy aç", + "ÐĿ Ðŀ", + "ĠÐĿ ов", + "ĠÐĿо в", + "ีย à¸Ķ", + "ĠпоÑĤÑĢÑĸб но", + "Ú¯ ز", + "ĠÑģказ ал", + "ĠG ia", + "ĠGi a", + "m esini", + "mes ini", + "mesi ni", + "Ġbulun ur", + "æ¸ ¡", + "г оÑĤ", + "го ÑĤ", + "Ġh uku", + "Ġhu ku", + "ëĦ ·", + "ã Ĩ", + "Ġ اÙĥ", + "Ġا Ùĥ", + "Ġد ÙĦÛĮÙĦ", + "ĠدÙĦ ÛĮÙĦ", + "Ġ اساس", + "Ġا ساس", + "Ġاس اس", + "ìĹ° 구", + "ĠÎĺ ε", + "Ġس ÙĪر", + "ĠسÙĪ ر", + "Ġ ì¢Ģ", + "Ġì¢ Ģ", + "ĠاÙĦ در", + "ĠاÙĦد ر", + "ĠÑģÑĤÑĢо иÑĤелÑĮ", + "Ġ Ñĥк", + "ĠÑĥ к", + "ĠìĻ ľ", + "е лик", + "ел ик", + "ели к", + "O VID", + "OV ID", + "Ġt emiz", + "Ġtem iz", + "äº ¦", + "Ġth iếu", + "Ġthi ếu", + "Ġп ÑĥÑĤ", + "ĠпÑĥ ÑĤ", + "Ñİ Ñīей", + "ÑİÑī ей", + "Ġur Äį", + "Ġ ÄIJây", + "ĠÄIJ ây", + "æ¥ µ", + "μ οÏħ", + "μο Ïħ", + "Ġ à¹Ģà¸Ļ", + "Ġà¹Ģ à¸Ļ", + "Ġà¹ĢภĻ", + "е веÑĢ", + "ев еÑĢ", + "Âł ÐĶ", + "ì ´Ŀ", + "ì´ Ŀ", + "è¶ £", + "Ġà¤ħ लà¤Ĺ", + "Ġà¤ħल à¤Ĺ", + "Æ°á»Ŀ n", + "Ġ ãĥŃ", + "Ġãĥ Ń", + "Ġ ê³³", + "Ġê³ ³", + "é² ģ", + "Ġرس ÛĮد", + "身 ä½ĵ", + "ั à¸ĵà¸ij", + "y nÃŃ", + "yn ÃŃ", + "ج ات", + "جا ت", + "ì§Ģ 를", + "न ल", + "ì ķĮ", + "ìķ Į", + "Ñĸ п", + "Ġv Ãłng", + "ĠvÃł ng", + "Ġпл оÑī", + "Ġпло Ñī", + "оз мож", + "åī ²", + "Ġth ảo", + "л ади", + "ла ди", + "лад и", + "Ġ åĿ", + "Ġå Ŀ", + "ĠÐľ и", + "Ġдел аÑĤÑĮ", + "Ġдела ÑĤÑĮ", + "é ij", + "Ġh uy", + "Ġhu y", + "ا ÛĮØ·", + "اÛĮ Ø·", + "Ġпов ÑĤоÑĢ", + "ü len", + "ül en", + "üle n", + "Ġ ÙĪÙģ", + "ĠÙĪ Ùģ", + "ĠÙĬ تÙħ", + "ĠÙĬت Ùħ", + "ĠÑĢеж им", + "Ġ ìºIJ", + "Ġìº IJ", + "ĠÃĩ ünkü", + "ع دد", + "عد د", + "ни веÑĢ", + "нив еÑĢ", + "ĠÐĿ ик", + "å¸ ĸ", + "Ïį ÏĢ", + "an lar", + "س تÛĮ", + "ست ÛĮ", + "Ġbulun maktadır", + "à¹ģ à¸ļ", + "v ek", + "ve k", + "Ġгла за", + "Ġглаз а", + "å¹ ħ", + "Ġúda j", + "Ġг ÑĢо", + "ĠгÑĢ о", + "Ġкон кÑĥÑĢ", + "Ġd ůležit", + "Ġdů ležit", + "Ġ Ø·ÙĪر", + "ĠØ· ÙĪر", + "à¸ĺ าà¸Ļ", + "ĠÙĦ ÙĥÙĨ", + "ĠÙĦÙĥ ÙĨ", + "ر ÙĤ", + "Ðļ ÐIJ", + "Ġ éĿĴ", + "ĠéĿ Ĵ", + "Ġ ìĤ¬ëŀij", + "ĠìĤ¬ ëŀij", + "ĠÑħ воÑĢ", + "ĠÑħв оÑĢ", + "s unuz", + "sun uz", + "ĠÙħØ´ خص", + "éĻ ¸", + "Ġ ढ", + "Ġठ¢", + "Ġv az", + "Ġva z", + "交 æĺĵ", + "ĠÑĤеÑĢ ÑĢиÑĤ", + "ÑĩеÑģ кой", + "Ñĩе Ñģкой", + "ี à¹Ĥ", + "rop oda", + "ıl dıģı", + "ıldı ģı", + "Ġ ëī´", + "Ġë ī´", + "íķĻ 기", + "ë³´ íĹĺ", + "Ġз аÑĤем", + "ĠзаÑĤ ем", + "Âł в", + "ãĥ¼ ãĥĨ", + "ãĥ¼ãĥ Ĩ", + "Ġ ÐŀÑģнов", + "ĠÐŀÑģ нов", + "ãĨ į", + "Ġد ع", + "ÐŁ оÑģ", + "ÐŁÐ¾ Ñģ", + "æ² ī", + "Ġ лож", + "Ġл ож", + "çĶµ åŃIJ", + "Ġ رد", + "Ġر د", + "ĠÑģ ÑĢазÑĥ", + "e jte", + "ej te", + "Ġà¤ij फ", + "Ġt Ãłu", + "ÃŃ k", + "lan ması", + "lanma sı", + "к аÑĤ", + "ка ÑĤ", + "าà¸ģ าศ", + "ãĤ¢ ãĤ¤", + "ÏĦ ιο", + "ÏĦι ο", + "Ġ å§", + "Ġå §", + "प त", + "E Y", + "Ġj mé", + "Ġjm é", + "Ġod kazy", + "Ġê°ľ ìĿ¸", + "éģ ¿", + "bÄĽ h", + "Ðł Ðŀ", + "çĥ Ī", + "Ġza rar", + "Ġzar ar", + "Ú¯ ÙĪÙĨÙĩ", + "Ú¯ÙĪ ÙĨÙĩ", + "Ġtr ì", + "Ġm ại", + "ен нÑĭм", + "ĠÑį коном", + "ĠÑįк оном", + "éĽ £", + "Ġ íĦ", + "Ġí Ħ", + "æİ ī", + "Ġs oru", + "Ġso ru", + "Ġsor u", + "ĠФедеÑĢа ÑĨии", + "ĠÑģиÑģÑĤем и", + "æĸĻ çĦ¡æĸĻ", + "Ġà¤ķ à¤Ń", + "ĠÙĩ ÙĨد", + "ĠÙĩÙĨ د", + "ุà¸ĩ à¹Ģà¸Ĺà¸ŀ", + "ĠOsman lı", + "ĠпÑĢод олж", + "Ġ ÙĪÙĦا", + "ĠÙĪ ÙĦا", + "ĠÙĪÙĦ ا", + "ĠÄįlán ku", + "Ġa dım", + "Ġad ım", + "Ġadı m", + "ĠÏĢ αÏģά", + "ĠÏĢαÏģ ά", + "ĠÏĢα Ïģά", + "Ġzá ÅĻÃŃ", + "Ġ à¸Īำà¸ģ", + "Ġà¸Īำ à¸ģ", + "Ġп ен", + "m enin", + "me nin", + "men in", + "meni n", + "Ġìĺ¤ ëĬĺ", + "em iz", + "emi z", + "οÏį ÏĤ", + "- स", + "íķĺ ìĭľ", + "ĠÑħ ви", + "ĠÑħв и", + "ãĤ° ãĥ©", + "Ġп оÑĪ", + "Ġпо ÑĪ", + "ĠÐŀдна ко", + "ĠÐŀднак о", + "Ñĸд но", + "íĺ ľ", + "Ñī ими", + "Ñīи ми", + "Ñīим и", + "èĥ ¸", + "ĠÄ° lk", + "ĠÄ°l k", + "m ey", + "me y", + "Ġз да", + "Ġзд а", + "κ λη", + "а лом", + "ал ом", + "ало м", + "à¹Ģศ ษ", + "ا ÙĨا", + "اÙĨ ا", + "Ġ ÎŁÎ¹", + "ĠÎŁ ι", + "Ġ åıĮ", + "Ġåı Į", + "ี à¸Ĥ", + "Ġ بس", + "Ġب س", + "è§Ħ å®ļ", + "i say", + "is ay", + "isa y", + "uk arı", + "uka rı", + "æµģ éĩı", + "v ÃŃm", + "vÃŃ m", + "λ Ïİ", + "ä¹ Ļ", + "Ġल ड", + "ĠÙĨد ارد", + "ĠÙĨدار د", + "е ÑĢом", + "еÑĢ ом", + "еÑĢо м", + "Ġsır asında", + "Ġsıras ında", + "Ġsıra sında", + "Ġr Äĥng", + "Æ¡ m", + "Ġl ạnh", + "Ġlạ nh", + "ठĥ", + "à¥ģ ण", + "à¥ģठ£", + "uz ey", + "uze y", + "Ġ Ñĥва", + "ĠÑĥ ва", + "ĠÑĥв а", + "vÄĽ d", + "Ñĭ Ñģ", + "Ġ κι", + "Ġκ ι", + "Ñ ķ", + "ÛĮ ا", + "à¸ĩ à¸Ħ", + "ph ylum", + "phy lum", + "phyl um", + "Ġber aber", + "ี à¸Ķ", + "æµ ®", + "ा सन", + "ास न", + "o vice", + "ov ice", + "ovic e", + "ovi ce", + "è¦ §", + "Ġस फ", + "å°ij 女", + "ан ÑĤи", + "анÑĤ и", + "é¨ ĵ", + "Ġso át", + "é¬ ¼", + "lan mÄ±ÅŁ", + "Ġb ếp", + "ÙIJ ÙĦ", + "Ġsay ısı", + "Ġsayı sı", + "ĠÙĤ دÙħ", + "ĠÙĤد Ùħ", + "à¥Ī म", + "ह म", + "ĠÑĢ Ñĥки", + "ĠÑĢÑĥ ки", + "ĠÑĢÑĥк и", + "ĠصÙģ ØŃÙĩ", + "Å¡ ky", + "Å¡k y", + "é» Ĵ", + "èģ ļ", + "ãģĭ ãģ«", + "Ġs âu", + "ед аг", + "ĠÑģÑĤоÑĢ онÑĭ", + "ĠÑģÑĤоÑĢон Ñĭ", + "Ġ ruk", + "Ġr uk", + "Ġru k", + "âĢĮ âĢĮ", + "ĠØ¢ ÙĪر", + "Ġع دÙħ", + "Ġعد Ùħ", + "õ i", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Ġبا زار", + "Ġباز ار", + "Ġe deb", + "Ġed eb", + "Ġv ÄįetnÄĽ", + "оп аÑģ", + "Ġн ег", + "Ġне г", + "m ayan", + "ma yan", + "may an", + "maya n", + "к оÑģÑĤÑĮ", + "ко ÑģÑĤÑĮ", + "Ġsv ůj", + "ÄŁ ında", + "ģı nda", + "ģın da", + "Ø° ÛĮر", + "M á»Ļt", + "Ð Ħ", + "Ġyap tı", + "ि थ", + "िठ¥", + "ĠÙħ Ùĩر", + "ĠÙħÙĩ ر", + "Ġд оÑģÑĤи", + "Ġдо ÑģÑĤи", + "ĠдоÑģÑĤ и", + "ĠдоÑģ ÑĤи", + "Ġ صÙĪر", + "Ġص ÙĪر", + "m esine", + "mes ine", + "mesi ne", + "ĠD ân", + "ä¸Ģ ä¸ĭ", + "çį İ", + "ĠÐľ иÑħ", + "ĠÐľÐ¸ Ñħ", + "Ġо Ñĩи", + "ĠоÑĩ и", + "ãĤ¦ ãĤ§", + "Ġ ÑĸÑģ", + "ĠÑĸ Ñģ", + "Ġgi ác", + "Ġgiá c", + "åľ¨çº¿ è§Ĥçľĭ", + "Ġاد اÙħÙĩ", + "ÑĨ ов", + "ÑĨо в", + "Ġ комÑĥ", + "Ġк омÑĥ", + "Ġком Ñĥ", + "Ġко мÑĥ", + "ĠÄ°ng iliz", + "Ġг ÑĢаж", + "ĠгÑĢа ж", + "ĠгÑĢ аж", + "ãģ¦ ãĤĤ", + "Ġch ữ", + "олÑĮ кÑĥ", + "m ÄĽt", + "mÄĽ t", + "Ñıг ом", + "Ñĩ аÑģÑĤ", + "Ñĩа ÑģÑĤ", + "ÑĩаÑģ ÑĤ", + "ìĸ ¼", + "Ġkh óa", + "Ġkhó a", + "ĠÐIJ д", + "ĠØ¢ ÙĤ", + "Ġkurul uÅŁ", + "ά ζ", + "Ġж ов", + "Ġв ÑģÑĤÑĢе", + "ĠвÑģÑĤ ÑĢе", + "ĠÙĪ ÙĦÙĥ", + "ĠÙĪÙĦ Ùĥ", + "Ġt uyá»ĩt", + "y ı", + "Ġ ÐĴо", + "ĠÐĴ о", + "Ġv á»įng", + "Ġvá» įng", + "ع ÙĬØ©", + "عÙĬ Ø©", + "Ġop ÄĽt", + "ا ÙĬد", + "اÙĬ د", + "à¥Ī .Ċ", + "à¥Ī. Ċ", + "ĠÑģ ами", + "ĠÑģам и", + "åª Ĵ", + "Ġsv ých", + "ĠëĤĺ íĥĢ", + "ìĨ IJ", + "Ġ ÙĦع", + "ĠÙĦ ع", + "Ġet kin", + "Ġetk in", + "Ġetki n", + "ĠN á", + "Ġsou tÄĽ", + "Ġsout ÄĽ", + "층 ìĿĺ", + "Ġ çŃī", + "ĠçŃ ī", + "Ġر سÙħ", + "Ġرس Ùħ", + "Ġ خاÙĨÙĩ", + "ĠØ® اÙĨÙĩ", + "ĠخاÙĨ Ùĩ", + "Ġ 家", + "Ġå® ¶", + "iá» ģm", + "iá»ģ m", + "ëħ IJ", + "ê° Ī", + "ì° ©", + "ž il", + "ži l", + "ÑģÑĤиÑĤ ÑĥÑĤ", + "ÑģÑĤиÑĤÑĥ ÑĤ", + "or uÄį", + "oru Äį", + "ĠØ¥ ذا", + "Ġإذ ا", + "à¹Ħ à¸Ĥ", + "ี à¸Ĭ", + "ÑĢ аб", + "ÑĢаР±", + "ÑĢа б", + "íķĻ ìĥĿ", + "Ġ ìī", + "Ġì ī", + "r nek", + "rn ek", + "rne k", + "Ġاست خداÙħ", + "ãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ãĢĢĠ ãĢĢĠãĢĢĠãĢĢ", + "Ġв Ñģем", + "ĠвÑģ ем", + "ĠвÑģе м", + "Ġìłķ ëıĦ", + "Ġvy j", + "éĢ ±", + "алÑĮ ное", + "алÑĮно е", + "Ġch uyá»ĩn", + "ì§Ģ ìĽIJ", + "i lerine", + "ile rine", + "iler ine", + "ileri ne", + "ilerin e", + "ĠìķĦ 무", + "Ġок оло", + "ाव न", + "à¸Ļ า", + "о пÑĢи", + "оп ÑĢи", + "d rž", + "dr ž", + "ĠÑģÑĥ ÑģпÑĸлÑĮ", + "Ġب Ùĥ", + "u ky", + "uk y", + "Ġ ÏĩÏī", + "ĠÏĩ Ïī", + "Ġtu ần", + "nict vÃŃ", + "Ġ ÙĩدÙģ", + "ĠÙĩد Ùģ", + "Ġch iá»ģu", + "ÎĹ ÎĿ", + "å°ı å§IJ", + "íķĺ ìĺĢ", + "Ġk las", + "Ġkl as", + "Ġkla s", + "á»Ļ n", + "ĠìĿ´ íĽĦ", + "ÙĨ اÙħج", + "ÙĨا Ùħج", + "ÙĨاÙħ ج", + "Äį ast", + "Äįas t", + "ĠاÙĦ خاص", + "ĠاÙĦØ® اص", + "l Ä±ÅŁ", + "lı ÅŁ", + "Ġع Ùħر", + "ĠعÙħ ر", + "ãĢį Ċ", + "иб олее", + "ãĤĬ ãģ®", + "ãħ ł", + "ä¹Ł ä¸į", + "к ÑĢеÑĤ", + "Ġ ìĶ", + "Ġì Ķ", + "ÏĦ ια", + "ÏĦι α", + "ĠÑĥпÑĢав лÑĸннÑı", + "æ² ¢", + "Ġk esin", + "Ġke sin", + "Ġkes in", + "ì¡Į ëĭ¤", + "머 ëĭĪ", + "羣 çļĦ", + "Ġbak ım", + "æĿ± 京", + "¾ ¸", + "ÙħÙĦ ÙĥØ©", + "оÑĤ ÑĢеб", + "d ın", + "dı n", + "Ġ PÅĻi", + "ĠP ÅĻi", + "ĠPÅĻ i", + "Ġm ÄĽli", + "ĠmÄĽ li", + "ĠmÄĽl i", + "Ġδη μο", + "å ¯¸", + "å¯ ¸", + "ĠÙĪ ÙĥاÙĨ", + "ĠÙĪÙĥ اÙĨ", + "Ġप ढ", + "ĠвеÑĢ Ñħ", + "Ġе Ñij", + "C ách", + "Các h", + "ä½ľ 为", + "ĠÐļ ол", + "ĠÐļо л", + "Ġ ве", + "Ġв е", + "Ġ деÑĢж", + "Ġд еÑĢж", + "ĠдеÑĢ ж", + "em oc", + "emo c", + "ãģ¸ ãģ®", + "Ġ аÑĢÑħ", + "ĠаÑĢ Ñħ", + "Ġk iếm", + "Ġ æĺİ", + "Ġæĺ İ", + "ĠлÑİд ини", + "ĠлÑİди ни", + "ë ·", + "ĠÙĪ اÙĦت", + "ĠÙĪاÙĦ ت", + "ĠÙĪا ÙĦت", + "Ġ è°", + "Ġè °", + "çģ ¯", + "íĻ ķ", + "Ġ구 매", + "Ġ ç§ij", + "Ġç§ ij", + "it nÃŃ", + "и ÑĩеÑģкие", + "иÑĩеÑģ кие", + "иÑĩеÑģки е", + "ĠÙĨ Ùģس", + "ĠÙĨÙģ س", + "Ġت ÙĦÙģ", + "ĠتÙĦ Ùģ", + "ا ÙģÛĮ", + "اÙģ ÛĮ", + "ĠØŃ Ø³ÙĨ", + "ĠØŃس ÙĨ", + "âĸ¡ âĸ¡", + "ý vá", + "ýv á", + "ÄŁ ın", + "ģı n", + "ıyor uz", + "ĠCh ÃŃ", + "ĠÙ¾ÚĺÙĪÙĩ Ø´", + "Ġ ÏĦÎŃ", + "ĠÏĦ ÎŃ", + "ĠÏĥ Ïĩε", + "ĠÏĥÏĩ ε", + "о леÑĤ", + "ол еÑĤ", + "α ιδ", + "αι δ", + "Ġh ạt", + "Ġhạ t", + "à¸ł าà¸Ħ", + "åĨ °", + "Ġrych le", + "it eli", + "ite li", + "itel i", + "Âł z", + "ย à¸ģ", + "æ¨ ¹", + "Ġج ÙĪاÙĨ", + "ĠجÙĪ اÙĨ", + "æĺ Į", + "Ġü retim", + "Ġür etim", + "Ġüret im", + "ระ à¸ļ", + "à¸Ľà¸£à¸° ม", + "ά Ïĥ", + "å² ©", + "ĠÑĥ ÑģÑĤÑĢой", + "ĠÑĥÑģÑĤ ÑĢой", + "Ġver ilen", + "Ġveri len", + "ich ni", + "ĠpÅĻÃŃ mo", + "ĠpÅĻÃŃm o", + "ĠاÙĦØ°Ùĩ اب", + "ì½ ľ", + "æľ ±", + "Ġس Ø®", + "Ñĸ ла", + "Ñĸл а", + "Ñĥ ма", + "Ñĥм а", + "ห า", + "ÛĮ دا", + "ÛĮد ا", + "å² ¸", + "ä¸Ģ å®ļ", + "Ġ ä¼ļ", + "Ġ ÐŁÑĸд", + "ĠÐŁ Ñĸд", + "Ġ ÑĩиÑĤ", + "ĠÑĩ иÑĤ", + "ĠÑĩи ÑĤ", + "и Ñİ", + "Ġ ÐĹап", + "ĠÐĹ Ð°Ð¿", + "ĠÐĹа п", + "ÑĤ иÑı", + "ÑĤи Ñı", + "Ġ ê°ľë°ľ", + "Ġê°ľ ë°ľ", + "ĠÑĤе оÑĢ", + "Ñı ÑģÑĮ", + "ÑıÑģ ÑĮ", + "ĠpÅĻÃŃ prav", + "( åľŁ", + "Ùħ ÙĬ", + "ĠpÅĻed evÅ¡ÃŃm", + "ĠTem muz", + "Ġпод деÑĢж", + "Ġнед оÑģÑĤаÑĤ", + "ĠìĿ´ ìľł", + "Ġkhá»ı i", + "ĠاÙĦ تØŃ", + "ĠاÙĦت ØŃ", + "ĠÙħÙħ Ú©ÙĨ", + "Ġv hod", + "Ġvh od", + "ев ой", + "ево й", + "о вал", + "ов ал", + "ова л", + "Ġн алеж", + "Ġна леж", + "Ġнал еж", + "ï¼¼ :", + "ย ะ", + "ĠÙħ اشÛĮÙĨ", + "Ġg á»Ńi", + "al ım", + "alı m", + "Ġìµľ ìłĢ", + "Ùij Ùĩ", + "á»Ļ p", + "à¥Ģ ।Ċ", + "à¥Ģ। Ċ", + "Ġ пиÑģ", + "Ġп иÑģ", + "Ġпи Ñģ", + "Ġ вÑģÑı", + "Ġв ÑģÑı", + "ĠвÑģ Ñı", + "Ñĩ ем", + "Ñĩе м", + "o zenÃŃ", + "oz enÃŃ", + "oze nÃŃ", + "Ġ äºļæ´²", + "Ġäºļ æ´²", + "е ÑĢалÑĮ", + "еÑĢ алÑĮ", + "еÑĢа лÑĮ", + "기 ëĬĶ", + "Ġп ÑĢез", + "ĠпÑĢ ез", + "ĠпÑĢе з", + "ĠعÙħ ÙĪÙħÛĮ", + "и ÑĩниÑħ", + "иÑĩ ниÑħ", + "Ġ æ²³", + "Ġæ² ³", + "od nÃŃ", + "åıª æĺ¯", + "Ġpo dp", + "Ġpod p", + "à¹īà¸Ńà¸ĩ à¸ŀ", + "ाय द", + "ाà¤ĩ ल", + "ล à¸Ķ", + "ĠÑĢÑĸÑĪ еннÑı", + "Ġ ÑĤÑĥÑĢ", + "ĠÑĤ ÑĥÑĢ", + "ĠÑĤÑĥ ÑĢ", + "ÑģÑĮ кÑĥ", + "ÑģÑĮк Ñĥ", + "Ġsal dır", + "ĠÐĽ ÑĮв", + "ãĢģ Ċ", + "ĠÙ¾ÛĮ ÙĪÙĨد", + "åѦ ä¹ł", + "λ Ïī", + "o vit", + "ov it", + "ovi t", + "ü le", + "ül e", + "女 æĢ§", + " Ł", + "e mez", + "em ez", + "eme z", + "Ġh ale", + "Ġha le", + "Ġhal e", + "âī ¦", + "ĠÎķ κ", + "ÏĦηγοÏģ ία", + "k ý", + "ìĦ± ìĿĦ", + "Ġt ým", + "Ġtý m", + "à¥ĩ -", + "Ġz ejména", + "æĻ ¶", + "Ġn gon", + "Ġng on", + "ãĢı ĊĊ", + "软 件", + "éĤ£ ä¹Ī", + "ĠкваÑĢ ÑĤи", + "ĠÙħÙĨ ظ", + "on ec", + "one c", + "Ġг ли", + "à¥ģर à¤ķ", + "ĠS okol", + "ĠSo kol", + "ĠSok ol", + "Ġ ä¿Ŀ", + "д ив", + "ди в", + "ál nÃŃm", + "áln ÃŃm", + "álnÃŃ m", + "ac aģı", + "aca ģı", + "acaÄŁ ı", + "a ÅŁa", + "aÅŁ a", + "ĠÙħ اÙĦÛĮ", + "ĠÙħا ÙĦÛĮ", + "ĠÙħاÙĦ ÛĮ", + "ĠÃĸ n", + "иÑĤ ели", + "иÑĤе ли", + "ĠØ® رد", + "Ġخر د", + "Ġkullan ıl", + "Ġkullanı l", + "Ġ ÙħÛĮÙĦ", + "ĠÙħ ÛĮÙĦ", + "ĠÙħÛĮ ÙĦ", + "Ġ íļ¨", + "Ġíļ ¨", + "ã n", + "Ġ rost", + "Ġr ost", + "Ġro st", + "Ġros t", + "Ġëĸ ł", + "u bat", + "ub at", + "uba t", + "Ġ åıĤ", + "Ġåı Ĥ", + "Ġبر اÙĬ", + "Ġм енÑĮ", + "Ġмен ÑĮ", + "ั à¸Ħร", + "ัà¸Ħ ร", + "Ġпом ог", + "ĠØŃض ÙĪر", + "Ġthá»ĭ t", + "ä¹ ³", + "Ġ ìĭłì²Ń", + "Ġìĭł ì²Ń", + "Ġíĺ Ħìŀ¬", + "ĠíĺĦ ìŀ¬", + "Ġ ë¹ł", + "Ġë¹ ł", + "вÑĢоп ей", + "Ġne jen", + "Ġnej en", + "Ñĸ ка", + "Ñĸк а", + "Ġ ìļ¸", + "Ġìļ ¸", + "ĠÙħ بار", + "ĠÙħب ار", + "Ġ Äįek", + "ĠÄį ek", + "ĠÄįe k", + "Ġk alk", + "Ġka lk", + "Ġkal k", + "Ġ amac", + "Ġa mac", + "Ġam ac", + "Ġama c", + "اد ت", + "ĠÙħ اسÙĩ", + "ĠÙħا سÙĩ", + "Ġarasında ki", + "Ġaras ındaki", + "Ġб еÑģ", + "ĠоÑĤд елÑĮ", + "ĠоÑĤдел ÑĮ", + "á½ ¶", + "ĠΤ ζ", + "v yk", + "vy k", + "ج ÙĨ", + "» ê²Į", + "ĠниÑĩ его", + "ĠØ´ اÙħÙĦ", + "ĠÑĥÑģловиÑı Ñħ", + "la ması", + "lam ası", + "lama sı", + "è½ ī", + "ç¾ ½", + "Ġж ид", + "ĠоÑĤ ноÑģ", + "ĠздÑĸйÑģ нÑİ", + "Ġ VỼi", + "ĠV Ỽi", + "ÙĪ ÙĦÛĮ", + "ÙĪÙĦ ÛĮ", + "Ġt isÃŃ", + "Ġti sÃŃ", + "ĠÏĩ ÏģÏĮ", + "Ġprac ovnÃŃ", + "Ġpracov nÃŃ", + "ĠÙĬ ÙĥÙĪÙĨ", + "ĠÙĬÙĥ ÙĪÙĨ", + "Ġb eÅŁ", + "Ġbe ÅŁ", + "ج ز", + "ั à¸ļร", + "ัà¸ļ ร", + "ĠYön et", + "Ġشر اÛĮØ·", + "ĠتÙĪس عÙĩ", + "çĹ ĩ", + "à¸ĩ à¹Ģà¸Ľ", + "ä¸Ģ 次", + "ĠÐłÐ¾ÑģÑģий Ñģкой", + "æľĢ é«ĺ", + "Ġsp olu", + "Ġspo lu", + "Ġspol u", + "д аеÑĤÑģÑı", + "да еÑĤÑģÑı", + "даеÑĤ ÑģÑı", + "Ñĸ ÑĤÑĥ", + "ÑĸÑĤ Ñĥ", + "Ġоб ÑĢаÑĤ", + "ĠобÑĢа ÑĤ", + "e nek", + "en ek", + "ene k", + "Ġ mek", + "Ġm ek", + "Ġme k", + "å¦ Ī", + "Ġдоп олниÑĤелÑĮ", + "Ġ ç²", + "Ġç ²", + "ĠÙĦ ÙĦت", + "ĠÙĦÙĦ ت", + "ĠHaz iran", + "æ¸ Ī", + "à¹Į à¸Ĥà¸Ńà¸ĩ", + "ĠÑĦ он", + "Ġê²ĥ ìľ¼ë¡ľ", + "Ġnh é", + "Ġbu gün", + "Ġbug ün", + "ov ém", + "ové m", + "Ġза веÑĢ", + "Ġзав еÑĢ", + "Ġд виг", + "Ġдв иг", + "Ġдви г", + "ä¼ Ļ", + "Ġnu ôi", + "меÑĢ ик", + "ме ÑĢик", + "ĠÙĨÙħ ÙĪÙĨÙĩ", + "èį ·", + "Ñĥ вала", + "Ñĥв ала", + "Ñĥва ла", + "ç¿ »", + "Ġs ân", + "ог оÑİ", + "ого Ñİ", + "ا سÙĬØ©", + "اس ÙĬØ©", + "اسÙĬ Ø©", + "Ñĥн кÑĤ", + "Ñĥнк ÑĤ", + "á nÃŃm", + "án ÃŃm", + "ánÃŃ m", + "ен ное", + "енно е", + "Ġph út", + "Ġ मर", + "Ġम र", + "ĠاÙĦ ÙĪØ·", + "ĠاÙĦÙĪ Ø·", + "Ġлег ко", + "Ġ ãĢĭ", + "ĠãĢ ĭ", + "ë¡ľ ëĵľ", + "ĠKas ım", + "ÙĬ ÙĦÙĬ", + "ÙĬÙĦ ÙĬ", + "ĠbaÄŁlantı lar", + "ĠÑĤ ÑĢÑĥд", + "ĠÑĤÑĢ Ñĥд", + "ĠÑĤÑĢÑĥ д", + "Ø· Ùĩ", + "Ġk vůli", + "ÑģÑĤ оÑı", + "Ġsat Ä±ÅŁ", + "Ġh áºŃu", + "ĠبÙĩ ترÛĮÙĨ", + "ĠبÙĩتر ÛĮÙĨ", + "ĠÑģ елÑĮ", + "ĠÑģел ÑĮ", + "ั à¸Ļว", + "ัà¸Ļ ว", + "o su", + "os u", + "य न", + "åĽ ³", + "ι δ", + "ÛĮ تÛĮ", + "ÛĮت ÛĮ", + "ĠQu áºŃn", + "Ġ ей", + "Ġе й", + "à¹Ģว ลา", + "à¹Ģวล า", + "ìĬ¤ íĥĢ", + "ìĤ¬ 를", + "Ġا ÙĩÙĦ", + "ĠاÙĩ ÙĦ", + "η γ", + "Ġk á»·", + "Ġká» ·", + "Ġ наÑĤ", + "Ġн аÑĤ", + "Ġна ÑĤ", + "âĢ ¡", + "Ñĸ ÑĩниÑħ", + "ÑĸÑĩ ниÑħ", + "ĠÑĢазвиÑĤи Ñı", + "ĠÑĢазви ÑĤиÑı", + "e cial", + "ec ial", + "eci al", + "ĠÑħ озÑı", + "в аеÑĤ", + "ва еÑĤ", + "ĠÄIJ á»Ļ", + "ĠÄIJá» Ļ", + "Ġ éĵ", + "Ġé ĵ", + "Ġok am", + "ĠвÑģ ÑĸÑħ", + "ĠвÑģÑĸ Ñħ", + "ĠPr aze", + "ĠPra ze", + "ë¥ ł", + "ι κα", + "ικ α", + "æ¬ ²", + "Ġgerçek leÅŁ", + "ç¥ ĸ", + "Ġод ним", + "Âł M", + "Ġre nk", + "Ġr enk", + "Ġren k", + "Ġल à¤ķ", + "ãĥķ ãĤ§", + "ãĥķãĤ §", + "ĠÙĨ زد", + "å¹ »", + "Ġúzem ÃŃ", + "æı ¡", + "а лиÑģÑı", + "али ÑģÑı", + "Ġ ÃĶ", + "Ġà Ķ", + "Ġy orum", + "Ġyo rum", + "ĠÏĢ ÏģÏī", + "ãĥ³ ãĥĩ", + "ãĥ³ãĥ ĩ", + "éĸĭ å§ĭ", + "ãĥ¼ ãĥª", + "ãĥ¼ãĥ ª", + "Ġìĸ¼ êµ´", + "Û± Û±", + "Û±Û ±", + "lü ÄŁÃ¼", + "lÃ¼ÄŁ ü", + "ÙĨ Ø´", + "à¹Ī ำ", + "èĽ ĭ", + "ĠØ£ د", + "ĠW illi", + "ĠWill i", + "ĠWil li", + "ĠWi lli", + "èª ²", + "Ġsür dür", + "ĠEx ternÃŃ", + "Ġp ůvod", + "Ġpů vod", + "ĠØ® اÙĨÙĪ", + "ĠخاÙĨ ÙĪ", + "ĠкоÑĤоÑĢ ое", + "Ġm ohl", + "Ġmo hl", + "Ġmoh l", + "Ġs tÄĽ", + "Ġst ÄĽ", + "åĩ ı", + "ìĤ ¼", + "aban cı", + "à¹ģ à¸Ļ", + "สำ à¸Ħ", + "æĤ £", + "ab ilece", + "abil ece", + "abile ce", + "éĺ³ åŁİ", + "Îij Îļ", + "Ġch ữa", + "Ġchữ a", + "ĠìķĦ ëĭ", + "طبÙĬ ÙĤ", + "طب ÙĬÙĤ", + "ÎĻ ÎŁÎ¥", + "ÎĻÎŁ Î¥", + "ÑĢ ование", + "ÑĢов ание", + "ÑĢо вание", + "ÑĢован ие", + "ÑĢова ние", + "åĩ ½", + "Ġ ì¼", + "Ġì ¼", + "ÑĢ оÑĦ", + "ÑĢо ÑĦ", + "à¹ĩ à¸Ļส", + "à¹ĩà¸Ļ ส", + "Ġ ãĤ¦", + "ĠãĤ ¦", + "ï¼ļ ãĢĮ", + "á»ĭ a", + "Ġ hPa", + "Ġh Pa", + "m anı", + "man ı", + "ál nÃŃho", + "álnÃŃ ho", + "ÙĪ تÛĮ", + "ÙĪت ÛĮ", + "ĠлеÑĩ ениÑı", + "j te", + "jt e", + "- д", + "åħ¨ åĽ½", + "ĠбÑĥд Ñĸв", + "Ġz atÃŃm", + "Ġzat ÃŃm", + "Ġ öyle", + "Ġö yle", + "ìĿ´ ê°Ģ", + "s tal", + "st al", + "sta l", + "i vatel", + "iv atel", + "ivate l", + "iva tel", + "Ġ æľª", + "Ġpož ad", + "ĠÑģ ни", + "Ġpos lednÃŃ", + "Ġposled nÃŃ", + "ĠÑģÑĤ анд", + "ĠÑģÑĤан д", + "ĠÑģÑĤа нд", + "à¥Ģ à¤ıम", + "à¥Ģà¤ı म", + "Ġ عکس", + "Ġع کس", + "ÑĢ иÑı", + "ÑĢи Ñı", + "ã y", + "á»ĭ p", + "Ġo kul", + "Ġok ul", + "Ġoku l", + "à¸ĩ หมà¸Ķ", + "Ġвоз ник", + "m ÃŃ", + "ç§ Ł", + "ĠÄij á»ijc", + "Ġp odÃŃ", + "Ġpo dÃŃ", + "Ġpod ÃŃ", + "ĠÅĻÃŃ j", + "ĠÑĤак Ñĸ", + "ĠÑĤа кÑĸ", + "à¸ļ าà¸Ĺ", + "Ġ 보기", + "Ġë³´ 기", + "ล า", + "еÑģ ÑĤо", + "еÑģÑĤ о", + "Ġ çĶ¨", + "и нÑĭ", + "ин Ñĭ", + "ĠÑĢ ÑĥÑħ", + "ĠÑĢÑĥ Ñħ", + "ĠÑĢаÑģп олож", + "Ñī еннÑı", + "Ġc á»Ń", + "à¹ī à¸ļร", + "à¥įयव स", + "ï¾ ļ", + "Ġд алÑĮ", + "Ġда лÑĮ", + "Ġдал ÑĮ", + "Ġض د", + "ÙĦ ÙĬØ©", + "ÙĦÙĬ Ø©", + "ĠкоÑĤоÑĢ ого", + "Ġd ve", + "Ġdv e", + "Ġnh ạc", + "ÑĦ Ñĸка", + "ÑĦÑĸ ка", + "ÑĦÑĸк а", + "à¥Ī à¤Ł", + "èĩª çĶ±", + "Ġпо ÑĢÑĥÑĪ", + "ĠпоÑĢ ÑĥÑĪ", + "æľĭ åıĭ", + "Ġd ört", + "Ġdö rt", + "ĠÑĢаÑģп ÑĢоÑģÑĤ", + "ãģ§ ãģ¯ãģªãģĦ", + "ãģ§ãģ¯ ãģªãģĦ", + "ĠпеÑĢ ег", + "ĠпеÑĢе г", + "Ġ ánh", + "Ġá nh", + "Ġán h", + "ĠV ÃŃ", + "ظ Ù¹", + "à¥į रण", + "à¥įर ण", + "Ġb ilim", + "Ġbi lim", + "Ġbil im", + "Ġlid é", + "Ġd ÃŃky", + "ĠdÃŃ ky", + "ĠÄIJ á»ĵng", + "Ġ εÏģγ", + "Ġε Ïģγ", + "Ġzn ovu", + "Ïĥ ια", + "Ïĥι α", + "Ñ ŀ", + "स à¤Ń", + "e kk", + "ek k", + "Ġμε ÏĦά", + "ÑģÑĤ иÑĩ", + "ÑģÑĤи Ñĩ", + "ÛĮ ÙĨÚ¯", + "ÛĮÙĨ Ú¯", + "ĠÑıв лÑıÑİÑĤÑģÑı", + "Ġ 建", + "Ġå» º", + "Ïĥ Ïĥα", + "ÏĥÏĥ α", + "ав лива", + "à¸ģ รม", + "à¸ģร ม", + "ç¬ Ķ", + "Ġ ге", + "Ġг е", + "Ġ رÙĩ", + "Ġر Ùĩ", + "Ġм ел", + "Ġна пÑĢимеÑĢ", + "ĠнапÑĢи меÑĢ", + "Ġм ик", + "Ġми к", + "ĠاÙĦس ÙĥاÙĨ", + "æ¤ ľ", + "ĠÐļ ÑĢа", + "Ġv Ãłi", + "ĠvÃł i", + "ائ Ùħ", + "ĠÏĩ Ïģή", + "leÅŁ me", + "Ġ jas", + "Ġj as", + "Ġja s", + "ê²Į ìŀĦ", + "Ġm aç", + "Ġma ç", + "Ġì§Ħ íĸī", + "à¥ĩद न", + "Ġvů bec", + "ĠÙĦ ÙĨ", + "è« ĩ", + "âī¡ âī¡", + "л ением", + "ление м", + "лен ием", + "ле нием", + "ع ÙĨÛĮ", + "عÙĨ ÛĮ", + "ãĥŀ ãĥ³", + "Ä° Z", + "ĠÃĸ ÄŁ", + "ĠìŬ ìŀIJ", + "y Å¡", + "Ġ ÑģÑĤа", + "ĠÑģ ÑĤа", + "ĠÑģÑĤ а", + "Ġ สำหร", + "Ġสำ หร", + "Ġन व", + "ãĢĤ ä½Ĩ", + "олÑĮ но", + "Ġyan ında", + "Ġyanı nda", + "è² ´", + "Ġjednot liv", + "Ġ åİŁ", + "Ġåİ Ł", + "éłħ 缮", + "Ġमद द", + "리 ìĹIJ", + "ĠÙħ اÙĬ", + "ĠÙħا ÙĬ", + "ĠÑĩ еÑĢв", + "ĠÑĩеÑĢ в", + "Ġd áv", + "Ġdá v", + "ÙĦ ÛĮÙĩ", + "ÙĦÛĮ Ùĩ", + "? #", + "Äį nÃŃm", + "ÄįnÃŃ m", + "ÑĢ ег", + "ÑĢе г", + "ĠпÑĢимен Ñı", + "ĠпÑĢим енÑı", + "ãĤĬ ãģ¨", + "ê° Ļ", + "Ġtop lam", + "Ġtopl am", + "i leÅŁ", + "il eÅŁ", + "ile ÅŁ", + "Ġk ategor", + "ÑĤ ал", + "ÑĤа л", + "ãģ«ãĤĪ ãĤĭ", + "Ġdom ác", + "Ġ ê·ľ", + "Ġê· ľ", + "ĠÙĩ زار", + "ĠpÅĻÃŃ stup", + "ĠpÅĻÃŃst up", + "ı lıyor", + "ılı yor", + "ıl ıyor", + "ж ди", + "жд и", + "ĠD Æ°Æ¡ng", + "ĠPh áºŃt", + "Ġç ünkü", + "구 ê¸ĢìĥģìľĦ", + "ov aných", + "ova ných", + "ovan ých", + "ovaný ch", + "Ġع Ø´", + "Ġà¤ķर à¤ķ", + "ž ÃŃt", + "žÃŃ t", + "Ġ vÄĽtÅ¡ÃŃ", + "ĠvÄĽt Å¡ÃŃ", + "ĠvÄĽtÅ¡ ÃŃ", + "ĠاÙħ کاÙĨ", + "Ġn ông", + "Ġz ám", + "Ġzá m", + "à¥Į न", + "е каÑĢ", + "ек аÑĢ", + "ека ÑĢ", + "Âł Т", + "k ami", + "ka mi", + "ĠÑĢеÑģ ÑĥÑĢ", + "п оÑģ", + "по Ñģ", + "Ùİ ÙĤ", + "ί λ", + "Ġ سازÛĮ", + "Ġس ازÛĮ", + "Ġساز ÛĮ", + "Ġçık an", + "Ġçı kan", + "ĠdÃŃ tÄĽ", + "Ġتص ÙĪ", + "ç¯ ĩ", + "н д", + "Ġrám ci", + "h ong", + "ho ng", + "hon g", + "Ġ ÑģÑĸм", + "ĠÑģ Ñĸм", + "s ak", + "sa k", + "к еÑĤ", + "ке ÑĤ", + "д Ñĸл", + "дÑĸ л", + "ç¹ Ķ", + "Ġth Æ°á»Łng", + "Ġне ÑĹ", + "з Ñĸ", + "ÅĻ ÃŃd", + "ÅĻÃŃ d", + "ित न", + "à¤ı à¤ķ", + "Ġs ữa", + "ĠÙħ رØŃ", + "ĠÙħر ØŃ", + "é ŀ", + "Ġc Æ°á»Ŀng", + ": .:", + ":. :", + "ÑĤ ен", + "ÑĤе н", + "èī ¦", + "Ġkh ợi", + "Ġ 기ì¤Ģ", + "Ġ기 ì¤Ģ", + "lan ır", + "彩 票", + "ض ÛĮ", + "Ġuz av", + "Ġb oh", + "Ġbo h", + "è m", + "Ġ æ£", + "Ġæ £", + "n ici", + "ni ci", + "nic i", + "( çģ«", + "åħ³ äºİ", + "Ñĸ ÑĩнÑĸ", + "ÑĸÑĩ нÑĸ", + "à¸ģ ารà¸ĵ", + "à¸ģาร à¸ĵ", + "Ġì² «", + "ÑĢ ÑĥеÑĤ", + "ÑĢÑĥ еÑĤ", + "ĠarÅŁiv lendi", + "ÑĤ им", + "ÑĤи м", + "า à¸ł", + "าภł", + "Ġبر ابر", + "Ġ à¹Ģà¸ĭ", + "Ġà¹Ģ à¸ĭ", + "Ġà¹Ģภĭ", + "ĠÄij êm", + "è· ³", + "Ġyön etim", + "Ġyönet im", + "Ġ éķ·", + "Ġéķ ·", + "ãĥĨ ãĥ¬ãĥĵ", + "м аÑĤи", + "ма ÑĤи", + "маÑĤ и", + "è´£ ä»»", + "ick ým", + "ický m", + "è ¸", + "à¹Ģห à¸ķ", + "ëł Į", + "Ġ رÙĬ", + "Ġر ÙĬ", + "ĠвÑĭ дел", + "åĩº çİ°", + "Ġп еÑģ", + "Ġì¢ĭ ìĿĢ", + "Ġà¤ī सन", + "Ġà¤īस न", + "ĠAr alık", + "ĠAra lık", + "ĠÑĩа ÑģÑĥ", + "ĠÑĩаÑģ Ñĥ", + "l ava", + "la va", + "lav a", + "Ġ ï½ŀ", + "Ġï½ ŀ", + "æģ ĭ", + "د ÛĮد", + "دÛĮ د", + "âĢĻ den", + "âĢĻd en", + "âĢĻde n", + "Ġ åĪĿ", + "ĠåĪ Ŀ", + "ÙĪ دة", + "ÙĪد Ø©", + "Ñĩ или", + "Ñĩи ли", + "Ñĩил и", + "ĠÑħаÑĢакÑĤ еÑĢиÑģÑĤи", + "ا ستاÙĨ", + "اس تاÙĨ", + "است اÙĨ", + "द र", + "ĠبÙĪد ÙĨ", + "ĠبÙĪ دÙĨ", + "Ġп алÑĮ", + "Ġпа лÑĮ", + "Ġпал ÑĮ", + "ĠÑĤ ÑĢади", + "ĠÑĤÑĢ ади", + "ĠÑĤÑĢа ди", + "Ġд еÑı", + "Ġде Ñı", + "Ġ خش", + "ĠØ® Ø´", + "Ġpok raÄį", + "Ġ구 ê¸Ģ", + "к овÑĸ", + "ко вÑĸ", + "ков Ñĸ", + "Ġ tık", + "Ġt ık", + "Ġh ấp", + "Ġza lož", + "Ġzal ož", + "१ à¥", + "Ġëĭµ ë³Ģ", + "м еÑĪ", + "ме ÑĪ", + "íļ ¨", + "Ġspol up", + "Ġspolu p", + "Ë Ĩ", + "è¾ ¦", + "Ġg á»Ĺ", + "Ġ å®ļ", + "Ġå® ļ", + "ĵ n", + "as ından", + "asında n", + "- ı", + "ĠбеÑĢ ез", + "大 åѸ", + "Ġз нов", + "Ġзн ов", + "ĠHo Ãłng", + "Ġد ÙĪÙĨ", + "ĠدÙĪ ÙĨ", + "Ġan lay", + "ĠÙĪ زار", + "ĠÙĪز ار", + "ĠعÙĦ ÙħÛĮ", + "ĠعÙĦÙħ ÛĮ", + "è£ ľ", + "Ġdü nya", + "Ġdün ya", + "Ġdüny a", + "Ġза лиÑĪ", + "Ġзал иÑĪ", + "Ġзали ÑĪ", + "д аеÑĤ", + "да еÑĤ", + "ν ε", + "и ÑĩеÑģкого", + "иÑĩеÑģ кого", + "ìĬ¤ íħľ", + "ĠÐij еÑĢ", + "Ġ дж", + "Ġд ж", + "Ġ опаÑģ", + "Ġоп аÑģ", + "ÏĨ α", + "Ġzv lá", + "Ġt ô", + "б еÑĢ", + "бе ÑĢ", + "ĠÎľ αÏģ", + "Ġξα Ïģ", + "ti ÄŁini", + "tiÄŁi ni", + "ãĥ¬ ãĥ³", + "ĠK ho", + "ĠKh o", + "ĠÑĸн ÑĪ", + "Ġ ï¿¥", + "ì° ¬", + "ï½ ¡", + "Ġ ноÑĩ", + "Ġн оÑĩ", + "Ġно Ñĩ", + "è¨ Ĭ", + "ÄĽ ti", + "ÄĽt i", + "å¿ Ļ", + "Ġکرد ÙĨد", + "ĠکردÙĨ د", + "ĠÄij ẩy", + "ĠÑģказ ав", + "ëĥ ¥", + "å± ¬", + "Ġश हर", + "ĠÚ©Ùħ Ú©", + "Âł ÐŁ", + "ın ca", + "нÑĸвеÑĢ ÑģиÑĤ", + "Ġ Ú¯ÙĪÙĨÙĩ", + "ĠÚ¯ ÙĪÙĨÙĩ", + "ĠÚ¯ÙĪ ÙĨÙĩ", + "ĠTop lam", + "ĠiÅŁ aret", + "ä½ł 们", + "Ġd erece", + "Ġde rece", + "Ġder ece", + "Ġdere ce", + "Ġderec e", + "ĠìĤ¬ ìĭ¤", + "Ġ ìŀIJ기", + "ĠìŀIJ 기", + "å®ŀ çİ°", + "çĶŁ çī©", + "ãģ® ä¸Ģ", + "Ġ ÑĢом", + "ĠÑĢ ом", + "ÙĪ زÙĩ", + "ÙĪز Ùĩ", + "Ġ ãģ¨", + "íĻ į", + "ÙĬ ÙĤ", + "Ġ åIJįçĦ¡ãģĹãģķãĤĵ", + "ĠåIJį çĦ¡ãģĹãģķãĤĵ", + "ĠåIJįçĦ¡ãģĹ ãģķãĤĵ", + "ĠÙ¾ ÛĮر", + "ĠÙ¾ÛĮ ر", + "Ġпол ез", + "ì¶ ©", + "ĠкоÑĢ п", + "IJ ëĭ¤", + "á» «a", + "ừ a", + "Îķ Τ", + "Ġжел ез", + "ãģ£ãģ ±", + "Ġx uyên", + "Ġ ë¥", + "Ġë ¥", + "à¥ĩ ।Ċ", + "à¥ĩ। Ċ", + "ĠÑģÑĤ али", + "ĠÑģÑĤал и", + "ĠÑģÑĤа ли", + "Ġpomoc ÃŃ", + "Ġdurum da", + "Ġп ÑĢоÑĪ", + "ĠпÑĢ оÑĪ", + "ĠпÑĢо ÑĪ", + "l enÃŃ", + "le nÃŃ", + "len ÃŃ", + "β ολ", + "βο λ", + "Ġ æĸĩç«ł", + "Ġæĸĩ ç«ł", + "tÄĽ z", + "d ÃŃl", + "dÃŃ l", + "Ġdruh é", + "ĠÑĤ огда", + "Ġh rá", + "Ġhr á", + "о ÑĤÑĮ", + "оÑĤ ÑĮ", + "า à¸ģร", + "าà¸ģ ร", + "Ġتص Ùħ", + "ĠÙħد ت", + "ка дем", + "Ġpat ÅĻÃŃ", + "ä¹ĭ åīį", + "س بة", + "سب Ø©", + "Ġпо кÑĢÑĭ", + "Ġпок ÑĢÑĭ", + "Ġn áp", + "Ġná p", + "Ġ_ {}", + "Ġ_{ }", + "ëĵ± íķĻêµIJ", + "ĠØ¥ ÙĦÙĬ", + "ĠØ¥ÙĦ ÙĬ", + "Ġöz g", + "çļ Ĩ", + "Ġhay van", + "ĠN isan", + "ĠNi san", + "غ از", + "Ġت ت", + "ĠдÑĥ Ñħов", + "ĠдÑĥÑħ ов", + "ĠÐŁÐ¾ ÑįÑĤомÑĥ", + "ÑĮ огод", + "ÑĮого д", + "Ġk uÅŁ", + "Ġku ÅŁ", + "Ġà¤ĩ सम", + "Ġà¤ĩस म", + "ج ÛĮ", + "Ġ ãĤ¿", + "ĠãĤ ¿", + "Ġв кÑĥÑģ", + "Ġвк ÑĥÑģ", + "ĠвкÑĥ Ñģ", + "ç Ģ", + "ĠвÑĭ ÑĪе", + "âĢĻ dan", + "âĢĻd an", + "âĢĻda n", + "ĠاØŃ Ùħد", + "Ġtal ep", + "Ġta lep", + "Ġtale p", + "Ġ ÏĪ", + "ĠÏ Ī", + "Ġdol ayı", + "Ġdolay ı", + "ĠÚ¯ زارش", + "б ол", + "бо л", + "ĠاÛĮÙĨ تر", + "ÑĢ оÑĩ", + "ÑĢо Ñĩ", + ") âĢı", + "Ġ ëIJł", + "ĠëIJ ł", + "Ġk oup", + "Ġko up", + "Ġkou p", + "( æľĪ", + "é± ¼", + "Ġ огÑĢа", + "Ġо гÑĢа", + "Ġог ÑĢа", + "ĠÑĢаз м", + "ĠÑĢа зм", + "Ġت ست", + "Ġتس ت", + "ĠpÅĻÃŃ slu", + "í ĽĪ", + "ĠëĮĢ íķ´", + "à¹ģ à¸Ľ", + "ан нÑĭе", + "аннÑĭ е", + "ĠìĿ¸ íĦ°", + "Ġkullan ılan", + "Ġkullanı lan", + "Ġkullanıl an", + "Ġz tr", + "æĬĢ è¡ĵ", + "ि à¤Ľ", + "िठĽ", + "ĠاÙĦÙħ ؤ", + "ov aly", + "ova ly", + "oval y", + "us tos", + "ust os", + "usto s", + "Ġö rg", + "Ġör g", + "Ġ 太", + "Ġå¤ ª", + "ε ιο", + "ει ο", + "Ġ uÄį", + "Ġu Äį", + "ĠØ´ Ú©ÙĦ", + "ĠØ´Ú© ÙĦ", + "建 çŃij", + "Ġch ạy", + "ĠÏĩ Ïģη", + "н ÑĥÑĤ", + "нÑĥ ÑĤ", + "Ġباع Ø«", + "ĠNÄĽk ter", + "ÑĥÑĤ ÑĤÑı", + "ãģ§ãģĻ ãģĭ", + "Ġsay ılı", + "Ġsayı lı", + "им оÑģÑĤÑĮ", + "имо ÑģÑĤÑĮ", + "ĠпиÑĤ аннÑı", + "Ġk ÃŃnh", + "Ġh ran", + "Ġhr an", + "Ġhra n", + "ok rat", + "Ġed ilir", + "Ġedil ir", + "Ġà¤ķह त", + "Ġp aci", + "Ġpa ci", + "Ġpac i", + "ाल न", + "Ġи де", + "Ġид е", + "ĠZ em", + "ĠZe m", + "Ġsluž by", + "ÑģÑĤв еннÑĭй", + "ÑģÑĤвен нÑĭй", + "ĠØ¢ ÙĨاÙĨ", + "ĠØ¢ÙĨ اÙĨ", + "ĠÑĤ оваÑĢи", + "ĠÑĤоваÑĢ и", + "ĠÑĤов аÑĢи", + "ĠتØŃ ÙħÙĬÙĦ", + "ĠY ük", + "Ġк аÑĤегоÑĢ", + "ĠкаÑĤ егоÑĢ", + "íĭ Ģ", + "Ġк оÑģ", + "Ġко Ñģ", + "Ġ обов", + "Ġо бов", + "Ġоб ов", + "Ġобо в", + "ĠprostÅĻed ÃŃ", + "ĠÑģ оÑģ", + "ĠÑģо Ñģ", + "ĠÐIJ лекÑģанд", + "ĠÐIJлекÑģ анд", + "Ġ à¹Ģà¸Ĥà¸ķ", + "Ġà¹Ģà¸Ĥ à¸ķ", + "å¿ħ é¡»", + "ั à¸Ĭ", + "ĠÙĦ د", + "ãĢģ ä¸Ģ", + "ĠÎľ ÎŃ", + "Ñĥ ваÑĤиÑģÑı", + "Ñĥв аÑĤиÑģÑı", + "ÑĥваÑĤи ÑģÑı", + "Ñĥва ÑĤиÑģÑı", + "æķ ı", + "ãĥ¼ ãĥIJ", + "ãĥ¼ãĥ IJ", + "اÙĦ ÙĦÙĩ", + "Ġب Ùĩا", + "ĠبÙĩ ا", + "åĸ ¶", + "è´ µ", + "æĸ¹ åIJij", + "Ġ ì¸", + "Ġì ¸", + "Ġ ÙĨاÙħÙĩ", + "ĠÙĨ اÙħÙĩ", + "ĠÙĨاÙħ Ùĩ", + "ÑĮ ко", + "Ġv ody", + "Ġvo dy", + "Ġvod y", + "v ÃŃc", + "vÃŃ c", + "à¹ģ à¸Ī", + "Ġع ÙĦÛĮÙĩ", + "ĠعÙĦ ÛĮÙĩ", + "ĠعÙĦÛĮ Ùĩ", + "à¹ģ รà¸ĩ", + "ί να", + "ίν α", + "ãģ ¬", + "Ġ Ðŀп", + "ĠÐŀ п", + "Ġsay f", + "ï¼Į çĶ±", + "ä¼ ´", + "ĠÑĥд об", + "ãģ¾ ãģł", + "Ġне пÑĢи", + "Ġнеп ÑĢи", + " İ", + "à¤¾à¤ľ प", + "pl nÄĽ", + "Ġ ìĹĦ", + "ĠìĹ Ħ", + "Ġrů zn", + "Ġrůz n", + "Ġx ếp", + "ãĥĸ ãĥ«", + "ĠзаÑħ иÑģÑĤ", + "ĠÙħص رÙģ", + "ĠÙħصر Ùģ", + "ĠvÅ¡ech no", + "ãģ® ãģĬ", + "ĠTh á»ĭ", + "Ġm ùa", + "¿ IJ", + "ĠпÑĢин ÑĨип", + "ĠاÙĨ ÙĤÙĦ", + "г аÑĢ", + "га ÑĢ", + "Ġmož nost", + "ÙĤ ÙĬÙĤ", + "ÙĤÙĬ ÙĤ", + "Ġotev ÅĻ", + "Ġ fak", + "Ġf ak", + "Ġfa k", + "Ġng uy", + "Ġngu y", + "б ов", + "бо в", + "l acaÄŁ", + "lac aÄŁ", + "ا طر", + "اط ر", + "ãģ« ãĤĪãĤĬ", + "ãģ«ãĤĪ ãĤĬ", + "æĺ¯ åľ¨", + "Ġt ầng", + "ìĿ¸ ìĿ´", + "a ÅĻ", + "ç ¢°", + "ç¢ °", + "ÏĮ με", + "Ġ ê°Ī", + "Ġê° Ī", + "ĠØ£ ØŃد", + "ĠØ£ØŃ Ø¯", + "غ راÙģ", + "غر اÙģ", + "ĠÙĬ ØŃ", + "ï½ §", + "ĠاÙĦØŃÙĬ اة", + "Ġ lep", + "Ġl ep", + "Ġle p", + "Ġ ฮ", + "Ġภ®", + "t ae", + "ta e", + "Ġl Æ°Æ¡ng", + "è½ ®", + "Ġз мÑĸн", + "ĠзмÑĸ н", + "Ġзм Ñĸн", + "ĠÐļи ÑĹв", + "ĠмÑĸ ÑģÑı", + "ĠмÑĸÑģ Ñı", + "к ав", + "ка в", + "à¸ķ ะ", + "Ġm noho", + "Ġmn oho", + "Ġmnoh o", + "ĠNgh á»ĭ", + "èĻ İ", + "Ġ ãĥŁ", + "Ġãĥ Ł", + "Ġp ráci", + "Ġpr áci", + "Ġprá ci", + "Ġg á»ijc", + "ĠY eni", + "ĠYe ni", + "ĠYen i", + "ا ضÙĬ", + "اض ÙĬ", + "Ġ èij", + "Ġè ij", + "Ġк ла", + "Ġкл а", + "ı ng", + "ÏĦ εί", + "ÏĦε ί", + "Ġb eni", + "Ġbe ni", + "Ġben i", + "Ġ عد", + "Ġع د", + "Ġ aktu", + "Ġak tu", + "Ġakt u", + "ĠÙĪ ÙĤد", + "ĠÙĪÙĤ د", + "Ġпод гоÑĤов", + "Ġgi ai", + "Ġgia i", + "( æ°´", + "Ġs aç", + "Ġsa ç", + "ĠÙħÙĨ اسب", + "ĠÙħÙĨاس ب", + "âĸ ĭ", + "ÙIJ Ùĩ", + "é į", + "à¸Ń à¸Ĺ", + "ĠسÛĮ اسÛĮ", + "o lit", + "ol it", + "oli t", + "ĠاÙĦ جز", + "ĠاÙĦج ز", + "Ø· ÙĦب", + "Ø·ÙĦ ب", + "Ġ sey", + "Ġs ey", + "Ġse y", + "e rence", + "er ence", + "ere nce", + "eren ce", + "ì´ Į", + "ĠвнÑĥÑĤÑĢ ен", + "ĠвнÑĥÑĤ ÑĢен", + "Ġ à¸Ļาย", + "Ġà¸Ļ าย", + "ĠìķĬ ìķĺëĭ¤", + "ĠìķĬìķĺ ëĭ¤", + "o lik", + "ol ik", + "oli k", + "æľĢ åIJİ", + "ä» ª", + "Ġ ÑĢÑĸд", + "ĠÑĢ Ñĸд", + "è¼ ĥ", + "Ġ باب", + "Ġب اب", + "Ġبا ب", + "Ñĥ ди", + "Ñĥд и", + "Ġ ÑģÑĤÑĥп", + "ĠÑģÑĤ Ñĥп", + "ĠÄij ứng", + "ĠÄijứ ng", + "ĠÅŁ öyle", + "Ġ íķĻìĥĿ", + "ĠíķĻ ìĥĿ", + "Ġв лаÑģÑĤи", + "Ġвла ÑģÑĤи", + "ĠвлаÑģ ÑĤи", + "Ġh ãng", + "Ġhã ng", + "à¹ī าว", + "à¹īา ว", + "ĠÚ© اÙĩØ´", + "Ġ ëĵ¯", + "Ġëĵ ¯", + "ĠجÙħ ÙĦÙĩ", + "Ġد کتر", + "ad olu", + "ado lu", + "adol u", + "Ġت بد", + "Ġتب د", + "ظ اÙħ", + "Ġz naÄį", + "Ġzn aÄį", + "Ġد ÙĨÛĮ", + "ĠدÙĨ ÛĮ", + "Ġs ạn", + "å¼ ±", + "ÏĢ ι", + "Ġ çIJĨ", + "ĠçIJ Ĩ", + "Ġ ÙģصÙĦ", + "ĠÙģ صÙĦ", + "и нг", + "ин г", + "Ðļ Ðŀ", + "ĠС ов", + "ĠСо в", + "Ġziy aret", + "Ġ دÙħ", + "Ġد Ùħ", + "ç« ¹", + "Ġsah ibi", + "is ayar", + "isa yar", + "isay ar", + "ÄŁ a", + "ĠпеÑĢÑĸ од", + "Ġs na", + "Ġsn a", + "( æľ¨", + "Ġ нее", + "Ġн ее", + "Ġне е", + "ĠÑĦак ÑĤоÑĢ", + "ĠÑĦакÑĤ оÑĢ", + "м еж", + "ме ж", + "åº Ħ", + "r áž", + "rá ž", + "ок ÑĢем", + "Ġž al", + "ิ à¹Ģศษ", + "è± ª", + "ou cÃŃ", + "ĠU lus", + "ĠUl us", + "Ġtak že", + "ا ÙĪÙĨ", + "اÙĪ ÙĨ", + "н иÑĤи", + "ни ÑĤи", + "ниÑĤ и", + "нÑĮ о", + "ëį ¸", + "Ġ Ùĥرة", + "ĠÙĥ رة", + "ĠÙĥر Ø©", + "åľ ³", + "ĠArth ropoda", + "ĠÑĤ одÑĸ", + "ĠÑĤо дÑĸ", + "Ġدر صد", + "ุ รà¸ģ", + "ุร à¸ģ", + "ĠÑģв ого", + "ĠÑģво го", + "说 éģĵ", + "Ġc ánh", + "Ġcá nh", + "Ġcán h", + "æĵ Ĭ", + "Ġ ä¸ĭè½½", + "Ġä¸ĭ è½½", + "èī ¾", + "Ġnik dy", + "Ø® Ø·", + "ĠÑģ ейÑĩаÑģ", + "ÙĪ ÙĬÙĦ", + "ÙĪÙĬ ÙĦ", + "a met", + "am et", + "ame t", + "문 ìĿĺ", + "ĠE ÄŁitim", + "大 ä¼ļ", + "Ġb ÅĻez", + "за ÑĨÑĸÑı", + "Ġty to", + "н ай", + "на й", + "غ Ùħ", + "Ġ é©", + "Ġé ©", + "计 ç®Ĺ", + "Türk iye", + "Ġmn ož", + "åIJĪ ä½ľ", + "æľį åĭĻ", + "Ġkažd ý", + "ĠÑİ ÑĢид", + "Ġ βα", + "Ġβ α", + "à¥Ĥ à¤ļ", + "åIJĮ ãģĺ", + "Ġ çĭ", + "Ġç ĭ", + "ί ÏĦ", + "ÙĪÛĮ ÙĨت", + "ÙĪÛĮÙĨ ت", + "ا ÙĨس", + "اÙĨ س", + "æľĢ 大", + "Ġ Từ", + "ĠT ừ", + "éŃĶ æ³ķ", + "Ġб ли", + "Ġбл и", + "ĠÑĤак ое", + "ĠÑĤа кое", + "ãģ ľ", + "ãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ìĿ´ ë©°", + "ĠÙĤسÙħ ت", + "Ġ оÑĨÑĸ", + "Ġо ÑĨÑĸ", + "н икÑĥ", + "ни кÑĥ", + "ник Ñĥ", + "Ġ Bạn", + "ĠB ạn", + "ĠоÑĢг анÑĸз", + "ĠоÑĢган Ñĸз", + "ĠоÑĢганÑĸ з", + "ü ph", + "üp h", + "Ġ izin", + "Ġi zin", + "Ġiz in", + "Ġ ï¾Ĭ", + "Ġï¾ Ĭ", + "εί ÏĤ", + "à¸ĩ à¹ģà¸ķ", + "ãģ¡ ãĤī", + "ва жа", + "важ а", + "Ġ 欧", + "Ġæ¬ §", + "ι Ïİ", + "ÏĢ ÎŃ", + "Ġк ÑĢеп", + "ĠÑĨ иÑħ", + "ĠÑĨи Ñħ", + "æĦŁ ãģĺ", + "çķ «", + "Ùĥ ÙĪ", + "е мо", + "ем о", + "ž en", + "že n", + "å¹³ æĸ¹", + "ĠÙħجÙħÙĪع Ùĩ", + "ĠÑģво и", + "Ġ ãĦ", + "à¸Ľà¸£à¸°à¸ģ à¸Ńà¸ļ", + "ĠпÑĢ оÑĤи", + "ĠпÑĢо ÑĤи", + "ĠпÑĢоÑĤ и", + "ÙĪ ÛĮÙĩ", + "ÙĪÛĮ Ùĩ", + "认 为", + "ÏĨ ÎŃ", + "и ÑĩеÑģкий", + "иÑĩеÑģ кий", + "иÑĩеÑģки й", + "æ¥ ļ", + "Ġп ап", + "Ġпа п", + "δ Ïģο", + "Ġkullan ım", + "Ġkullanı m", + "Ġz bo", + "Ġzb o", + "Ġú spÄĽ", + "Ġ Ùħز", + "ĠÙħ ز", + "ĠF ak", + "ĠFa k", + "елÑĮ зÑı", + "æ´» åĭķ", + "ĠÐŁ ÑĢав", + "ĠÐŁÑĢ ав", + "ĠÐŁÑĢа в", + "¦ y", + "åĥ ķ", + "æij ĺ", + "Ġر ئ", + "Ġ ÏĨοÏģ", + "ĠÏĨ οÏģ", + "м иÑĤ", + "ми ÑĤ", + "Ġt icaret", + "Ġti caret", + "Ġtic aret", + "æ³ķ å¾ĭ", + "å¹´ 代", + "ìĪ Ļ", + "å ¿ł", + "å¿ ł", + "à¹ĩ à¸Ļà¸Ĺ", + "à¹ĩà¸Ļ à¸Ĺ", + "Ġ Ñĥж", + "ĠÑĥ ж", + "ĠÙħتØŃ Ø¯Ùĩ", + "Ġtr á»Ŀi", + "Ġ رØŃ", + "Ġر ØŃ", + "ĠÚ©ÙĪ ÚĨ", + "ĠопÑĢед елен", + "ĠопÑĢедел ен", + "ĠزÙħ ÛĮÙĨÙĩ", + "ĠزÙħÛĮÙĨ Ùĩ", + "Ġn óng", + "Ġnó ng", + "Ġng ủ", + "Nh ững", + "Ġк иÑĪ", + "Ġки ÑĪ", + "Ġ jde", + "Ġj de", + "Ġjd e", + "Ġ ä¸Ĭæµ·", + "Ġä¸Ĭ æµ·", + "åĭ ĩ", + "Ġt anı", + "Ġtan ı", + "à¹Į à¹ģละ", + "à¹Įà¹ģ ละ", + "ĠÑĢа ÑģÑĤвоÑĢ", + "ĠÑĢаÑģÑĤ воÑĢ", + "ĠÑģÑĢед ÑģÑĤв", + "Ġc án", + "Ġcá n", + "Ġsyst ému", + "Ġsystém u", + "ÛĮ Ø·", + "ĠÑģиÑģÑĤем а", + "Ġ ëŀ", + "Ġë ŀ", + "Ġ ÑĩеÑĤ", + "ĠÑĩ еÑĤ", + "éĥ¨ éŨ", + "å¸ °", + "Ġm illet", + "Ġmill et", + "Ġmil let", + "ĠÎķ λλά", + "à¥ĩà¤ĸ न", + "Ġrepublik y", + "ÑĢ ами", + "ÑĢа ми", + "ÑĢам и", + "Ġसम स", + "Ġaç ısından", + "اد ÙĦ", + "Ġб еÑģп", + "ĠбеÑģ п", + "ãĥ» âĶģ", + "åľ Ń", + "o cu", + "oc u", + "k ánÃŃ", + "ká nÃŃ", + "ÙĪ رش", + "ÙĪر Ø´", + "ëŀ µ", + "Ġ çģ", + "Ġç ģ", + "è° ģ", + "Ġs ám", + "Ġν εÏĨ", + "Ġνε ÏĨ", + "b ilir", + "bil ir", + "ĠmÃŃst ÄĽ", + "Ġ žen", + "Ġž en", + "Ġže n", + "Ġil ç", + "Ġ ë§ģ", + "Ġë§ ģ", + "ãĢij Ċ", + "ĠÙħÙĪ ارد", + "ĠاÙĦ Ø´ÙĬ", + "ĠاÙĦØ´ ÙĬ", + "Ġ기 ë¡Ŀ", + "Ġt ady", + "Ġta dy", + "Ġtad y", + "à¸Ń าà¸Ī", + "ĠÑģ ÑĦ", + "ĠspoleÄį nost", + "Ġtém atu", + "Ùħ اÙħ", + "Ùħا Ùħ", + "Ùħ ع", + "Ġ леж", + "Ġл еж", + "ĠÚĨ Ø´Ùħ", + "ĠiÅŁ let", + "ĠÙĨس Ø®", + "ä¼ °", + "ãģį ãģª", + "ãĢ ĥ", + "å² Ĺ", + "Ġ åŃIJ", + "Ġå ŃIJ", + "ĠåŃ IJ", + "Ġb ảng", + "Ġbản g", + "çĮ ®", + "Ġc ứng", + "Ġcứ ng", + "Ġк ÑĢай", + "ĠкÑĢа й", + "Ġ èĭ±è¯Ń", + "Ġèĭ± è¯Ń", + "Ðł ÐIJ", + "ز ÙĨ", + "èĥ ŀ", + "Ġsür eç", + "Ġsüre ç", + "ãĥķ ãĥĪ", + "ĠкÑĸлÑĮ ка", + "ne ÄŁin", + "neÄŁi n", + "ov ány", + "ová ny", + "ován y", + "л Ñĸн", + "лÑĸ н", + "Ġvý raz", + "ĠÑģÑĩ иÑĤа", + "ĠÑģÑĩиÑĤ а", + "ĠпÑĢав ило", + "ĠпÑĢави ло", + "ĠпÑĢавил о", + "ĠиÑģполÑĮз Ñĥ", + "Ġk éo", + "Ġké o", + "ĠyaklaÅŁ ık", + "ĠÙĪاب ستÙĩ", + "ов аÑĤелÑĮ", + "Ġ ì²ł", + "Ġì² ł", + "ĠاÙĦ عاÙħ", + "ĠاÙĦع اÙħ", + "åĿ ı", + "Ġ à¸ī", + "Ġภī", + "ĠS Æ¡n", + "λ ιο", + "λι ο", + "ì¶Ķ ì²ľ", + "Ġsluž eb", + "ĠдеÑıÑĤелÑĮ ноÑģÑĤи", + "з м", + "Ġп ози", + "Ġпо зи", + "Ġпоз и", + ".; .;", + "ĠпÑĢоиÑģ ÑħодиÑĤ", + "าย à¹ĥà¸Ļ", + "çļĦ ãģ«", + "Ġà¤ĩस स", + "о меÑĤ", + "ом еÑĤ", + "Ġ αÏģ", + "Ġα Ïģ", + "ा à¤Ĺर", + "ाà¤Ĺ र", + "i cÃŃch", + "ic ÃŃch", + "icÃŃ ch", + "Ġpolož ky", + "ê³ ¨", + "æĥ Ĭ", + "Ġö ner", + "Ġön er", + "Ġöne r", + "Ġx ảy", + "ĠÙĨظ رÛĮ", + "ĠÙĨظر ÛĮ", + "Ġngh á»ī", + "Ġ à¸ľà¸¥", + "Ġà¸ľ ล", + "ĠÑĢ олÑĮ", + "ĠÑĢ емон", + "ĠÑĢе мон", + "ص ÙĪر", + "V ý", + "ĠS á»ij", + "ĠÑģ ÑĥÑĩаÑģ", + "ĠÑģÑĥ ÑĩаÑģ", + "ห ย", + "ĠاÙĤ داÙħ", + "Ġer kek", + "Ġerk ek", + "Ġ èį", + "Ġè į", + "ĠÄij ôi", + "ĠÄijô i", + "Ġкон кÑĢеÑĤ", + "æ¬ Ĭ", + "Ġ 缮", + "ĠçĽ ®", + "ÙĪ Ú©", + "lı kla", + "lık la", + "Ġp azar", + "Ġpa zar", + "Ġpaz ar", + "ά νÏī", + "άν Ïī", + "Ñĥ ÑģÑĤа", + "ÑĥÑģ ÑĤа", + "ÑĥÑģÑĤ а", + "ãģª ãģŁ", + "Ġ ÙĩÙĨÚ¯", + "ĠÙĩ ÙĨÚ¯", + "ĠÙĩÙĨ Ú¯", + "Ю ÐĽ", + "Ġв елик", + "Ġвели к", + "Ġвел ик", + "Ġве лик", + "Ġnh Ỽ", + "Ġ ìĭľíĹĺ", + "Ġìĭľ íĹĺ", + ") ìĿĺ", + "Ùĥ Ùĩ", + "Ġ à¹ģล", + "Ġà¹ģ ล", + "Û² Ûµ", + "Ġار ساÙĦ", + "Ġ окÑĢем", + "Ġок ÑĢем", + "ά ÏĤ", + "ĠвÑĭ Ñħод", + "vÄĽt Å¡ÃŃ", + "ĠØ· رÛĮÙĤ", + "Ġк оÑĢоÑĤ", + "ĠкоÑĢ оÑĤ", + "Ġко ÑĢоÑĤ", + "н ÑĶ", + "ãĤĬ ãģ«", + "Ġ ä¹Ł", + "Ġä¹ Ł", + "ØŃ Øµ", + "ع ÙħاÙĦ", + "عÙħ اÙĦ", + "oloj ik", + "oloji k", + "Ġر ابط", + "Ġرا بط", + "çª Ĺ", + "Ġg iz", + "Ġgi z", + "Ġch ết", + "Ġchế t", + "æ¨ £", + "ส à¸ĩ", + "ÙĪ تر", + "ÙĪت ر", + "ĠÑı кÑĥ", + "ĠÑıк Ñĥ", + "çı¾ åľ¨", + "ĠоÑĤ ÑģÑĥÑĤÑģÑĤв", + "Ġ ê´ijê³ł", + "Ġê´ij ê³ł", + "Ñĸ ки", + "Ñĸк и", + "åĢ ¤", + "è® ¢", + "Ġ dle", + "Ġd le", + "Ġdl e", + "Ġ åł", + "Ġå ł", + "æ¨ ©", + "è® ¯", + "åĶ IJ", + "Ġ âĸ²", + "Ġâĸ ²", + "Ġli stop", + "Ġlist op", + "Ġlis top", + "Ġdat ové", + "Ġdato vé", + "ÏĦ ÏĮÏĤ", + "ÏĦÏĮ ÏĤ", + "Ġ оз", + "Ġо з", + "δ ÏĮ", + "èĴ Ĥ", + "Û³ Û°", + "ãĥª ãĥ¼ãĤº", + "ãĥªãĥ¼ ãĤº", + "ĠÙħر کز", + "ĠÙħرک ز", + "ĠпÑĸдÑĤ ÑĢим", + "ĠÑģ ез", + "é¡ ĺ", + "Ġol acaktır", + "Ġolacak tır", + "æº Ģ", + "ĠÏĢεÏģι ο", + "ĠÏĢεÏģ ιο", + "ĠÏĢε Ïģιο", + "ÑĦ а", + "ÏĦ ηÏĥη", + "ÏĦη Ïĥη", + "ç» ĥ", + "Ðŀ д", + "δ Ïħ", + "âĦ ĥ", + "Ġl ắp", + "ĠëĦ ĺ", + "Ø· اÙĨ", + "ĠÙ¾ ÙĨج", + "ĠÙ¾ÙĨ ج", + "ت اÙĨ", + "تا ÙĨ", + "i lerinin", + "iler inin", + "ileri nin", + "ilerin in", + "ilerini n", + "à Ī", + "ĠØ® ÙĪØ´", + "ĠØ®ÙĪ Ø´", + "Ġ ìĬ¬", + "ĠìĬ ¬", + "ĠاÙĦر ئÙĬس", + "ẵ n", + "Ġ شار", + "ĠØ´ ار", + "e ru", + "er u", + "ж ив", + "жи в", + "à¸Ļ าย", + "à¸Ļา ย", + "Ġs ẻ", + "Ġà¤ī à¤ļ", + "ãģ« ãģĭ", + "ç¡ Ģ", + "Ġyür üt", + "ĠС еÑĢг", + "ĠСеÑĢ г", + "Ġ каÑģ", + "Ġк аÑģ", + "Ġка Ñģ", + "ĠÐij ог", + "Ġìĸ´ëĸ »ê²Į", + "Ġ çŁ³", + "Ġç Ł³", + "ĠçŁ ³", + "Ġöl dür", + "Ġöld ür", + "л Ñĸв", + "лÑĸ в", + "Ġho Ãłng", + "ĠhoÃłn g", + "Ġb á»Ļt", + "Ġbá»Ļ t", + "çŀ ¬", + "Ġ 침", + "Ġì¹ ¨", + "N ếu", + "Ġne vy", + "Ġnev y", + "Ġ ìľ¤", + "Ġìľ ¤", + "Ġsou Äįást", + "ıs ıyla", + "ısı yla", + "Ġtük et", + "b ou", + "bo u", + "Ġд во", + "Ġдв о", + "س Ø·", + "å½ĵ çĦ¶", + "ãĥ ¨", + "Ġ زادÙĩ", + "Ġز ادÙĩ", + "Ġزاد Ùĩ", + "Ġ éĥ¨", + "Ġéĥ ¨", + "Ġر ÙĪØŃ", + "ĠرÙĪ ØŃ", + "Ġ ï¼į", + "Ġï¼ į", + "ĠмÑĸÑģ ÑĨев", + "ĠмÑĸÑģÑĨе в", + "θ εν", + "θε ν", + "ภĨ", + "л енÑĸ", + "лен Ñĸ", + "ле нÑĸ", + "çį ²", + "ĠH OH", + "ĠHO H", + "s ın", + "sı n", + "ิ à¸ķร", + "ิà¸ķ ร", + "è² ¡", + "ĠpÅĻ id", + "ĠpÅĻi d", + "à¹Ģ หà¸Ļ", + "à¹Ģห à¸Ļ", + "l ý", + "è¨Ģ èijī", + "ठĵ", + "âĸįâĸįâĸįâĸį âĸįâĸįâĸįâĸį", + "ب اب", + "با ب", + "ãĥ¼ ãĥķ", + "ãĥ¼ãĥ ķ", + "м оÑĢ", + "мо ÑĢ", + "è¿ĩ ç¨ĭ", + "Ġ ãĥĽ", + "Ġãĥ Ľ", + "ĠK inh", + "ĠKi nh", + "ĠKin h", + "íķľ êµŃ", + "Ġìĸ´ëĸ ¤", + "Ġв лиÑı", + "Ġf ayd", + "Ġfa yd", + "Ġص ÙĨع", + "ĠصÙĨ ع", + "Ġal ır", + "Ġet tiÄŁi", + "Ġetti ÄŁi", + "ά κ", + "im izin", + "imi zin", + "imiz in", + "imizi n", + "ัà¸ļ à¸ľ", + "Ġзем елÑĮ", + "ÙĬÙĦ اد", + "ÙĬÙĦا د", + "æ¶ ¨", + "çı ł", + "ĠØ£ غ", + "Ġz ku", + "Ġzk u", + "âĢŀ A", + "า à¸ķร", + "าà¸ķ ร", + "a yi", + "ay i", + "ãĥ© ãĤ¹", + "и ло", + "ил о", + "ĠÄij á»į", + "ĠÄijá» į", + ". Îķ", + "ë ľ", + "ĠμÏĢο Ïģεί", + "å¸ ¶", + "Ġar tır", + "Ġart ır", + "า à¸į", + "าภį", + "å¿ ĺ", + "ta lya", + "tal ya", + "Ġpoz dÄĽji", + "ĠpozdÄĽ ji", + "Ġnep ÅĻ", + "Ġ æ¹", + "Ġæ ¹", + "اÙĩ ÛĮ", + "Ġsat ın", + "Ġ ë²Į", + "Ġë² Į", + "ج ÙĪ", + "ä¸Ģ 缴", + "ìķĦ ìļĶ", + "Âł P", + "Ġ ØĽ", + "ĠØ Ľ", + "Ġп ал", + "Ġпа л", + "表 æĥħ", + "Ġc anlı", + "Ġcan lı", + "æĪIJ 为", + "ÙĪ ÙĨا", + "ÙĪÙĨ ا", + "Ġ âĢ¯", + "ĠâĢ ¯", + "à¸ģำ ล", + "åį ĸ", + "Ġ αÏĥ", + "Ġα Ïĥ", + "и нок", + "ин ок", + "а мп", + "ам п", + "ล à¸Ńà¸ĩ", + "ÙĤ ÙĤ", + "ĠпÑĢо Ñħод", + "ĠпÑĢоÑħ од", + "ãĤĦãĤĭ 夫", + "Ïĩ η", + "è² ¨", + "ĠÙģ ÙĬÙĩ", + "ĠÙģÙĬ Ùĩ", + "ÙĬ رÙĬ", + "ÙĬر ÙĬ", + "Ġвне ÑĪ", + "Ġk arak", + "Ġka rak", + "Ġkar ak", + "Ġkara k", + "Ø« ÙĦ", + "Ùĩ ÙĪرÛĮ", + "ÙĩÙĪر ÛĮ", + "اÙĪر Ù¾", + "ĠÄij á»ı", + "ĠÄijá» ı", + "ji Å¡tÄĽnÃŃ", + "jiÅ¡tÄĽ nÃŃ", + "ت بر", + "تب ر", + "Ġê·¸ ê²ĥ", + "Ġg ül", + "Ġgü l", + "Ġпо кÑĥп", + "Ġпок Ñĥп", + "l ilik", + "li lik", + "lili k", + "lil ik", + "Ġz da", + "Ġzd a", + "åīį ãģ«", + "ĠÙħÙĩ ÙĨد", + "Ġ ÎijÎĿ", + "ĠÎij ÎĿ", + "ĠÚ©ÛĮÙĦ ÙĪÙħتر", + "Ġp ÅĻeh", + "ĠpÅĻ eh", + "ĠpÅĻe h", + "а леж", + "ал еж", + "але ж", + "Ġka yn", + "Ġkay n", + "è® ¿", + "Ġì¤ij êµŃ", + "ĠÑĪиÑĢ ок", + "ĠÑĪи ÑĢок", + "ĠÙħشار کت", + "âĢ Ĥ", + "Ġ íŤ", + "ĠíĹ ¤", + "Ġìłľ íĴĪ", + "ĠØ´ ÛĮر", + "ĠØ´ÛĮ ر", + "es inden", + "esinde n", + "esin den", + "ÑĢ ÑĸÑĩ", + "ÑĢÑĸ Ñĩ", + "èı ²", + "Ñģ коÑĢ", + "Ñģк оÑĢ", + "Ñģко ÑĢ", + "e tik", + "et ik", + "eti k", + "า à¸ľ", + "าภľ", + "ĠØ· بÛĮ", + "Ġطب ÛĮ", + "κ ÎŃ", + "ĠìŀĪ ìĸ´", + "Ġ dek", + "Ġd ek", + "Ġde k", + "ÑĢ Ñĸй", + "ÑĢÑĸ й", + "å ĨĴ", + "åĨ Ĵ", + "nÃŃ ci", + "® ¤", + "ĠÙħر تب", + "Ġy azı", + "Ġya zı", + "Ġyaz ı", + "üs lü", + "ìľ¼ ëĤĺ", + "e lerine", + "eler ine", + "ele rine", + "eleri ne", + "elerin e", + "Ġy oÄŁun", + "Ġб ак", + "Ġба к", + "ÎĻ ÎŁ", + "ά λÏħ", + "άλ Ïħ", + "ç´ Ļ", + "ĠÑĢÑĥ ками", + "ĠÑĢÑĥк ами", + "Ġçöz üm", + "ìłķ ìĿĦ", + "Ġgüç lü", + "λ ÏĮ", + "Ġb elli", + "Ġbe lli", + "Ġbel li", + "Ġbell i", + "ÃŃ Å¡e", + "ÃŃÅ¡ e", + "ĠÏĮ ÏĢÏīÏĤ", + "Ġna Å¡", + "Ġp ár", + "Ġpá r", + "ÑĪ ÑĤ", + "Ġ ìĨ¡", + "ĠìĨ ¡", + "à¥Ĥ रत", + "à¥Ĥर त", + "ĠÏĢολ Ïį", + "ĠÏĢο λÏį", + "ç° ¡", + "èĤ ¯", + "æ¹ ¾", + "Ġ äºĭ", + "Ġब स", + "Ġ무 ë£Į", + "д ина", + "дин а", + "ди на", + "èª °", + "л еж", + "ле ж", + "Ġú ÅĻad", + "ĠоÑģвÑĸ ÑĤи", + "ĠоÑģвÑĸÑĤ и", + "ĠвÑĸд Ñĩ", + "ĠпÑĢи знаÑĩ", + "ĠпÑĢизна Ñĩ", + "ĠпÑĢиз наÑĩ", + "çĶ³ 请", + "' ya", + "'y a", + "ä¿ Ĭ", + "Ġ ÙĬÙĪÙĨ", + "ĠÙĬ ÙĪÙĨ", + "ĠÙĬÙĪ ÙĨ", + "Ġس ع", + "Ġ ÐĶаÑĤа", + "ĠÐĶ аÑĤа", + "ĠÐĶа ÑĤа", + "è¨Ģ ãģĨ", + "ĠØŃ ØªÛĮ", + "ĠJi ÅĻÃŃ", + "ĠÐ¥ аÑĢ", + "éĻ Ī", + "à¹Ī าà¸Īะ", + "à¹Īา à¸Īะ", + "Ġsay esinde", + "ĠÑĤÑĢеб а", + "ê°Ģ ì§Ģ", + "Ġy emek", + "Ġye mek", + "Ġyem ek", + "Ġyeme k", + "è¦ ļ", + "ặ n", + "ãĢĢ ãĢĢãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ĠãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢĠãĢĢ", + "Ġ 举", + "Ġä¸ ľ", + "Ġ ÙĪا", + "ĠÙĪ ا", + "ĠÙħ ÙĪس", + "ĠÙħÙĪ س", + "Ġком анд", + "Ġкоман д", + "Ġseç im", + "Ñĩ еннÑı", + "Ñĩен нÑı", + "Ġtot iž", + "Ġr á»Ńa", + "ı a", + "Ø¢ Ùħ", + "ÑĨ Ñĸон", + "ÑĨÑĸ он", + ": :::::::::::", + ":: ::::::::::", + ":::: ::::::::", + ":::::: ::::::", + ":::::::: ::::", + "::: :::::::::", + "::::: :::::::", + "::::::: :::::", + "::::::::: :::", + ":::::::::: ::", + "::::::::::: :", + "ÐĿ ÐIJ", + "ı za", + "ız a", + "h end", + "he nd", + "hen d", + "Ġफ र", + "ัà¸Ķ à¸ģาร", + "Ġ Cách", + "ĠC ách", + "ĠCác h", + "ĠпоÑĤ Ñĸм", + "Ġá¼ Ģ", + "ا ÙĦا", + "اÙĦ ا", + "á» ¡", + "ر ÛĮÙħ", + "رÛĮ Ùħ", + "å® «", + "Ġز ÙħÛĮÙĨ", + "ĠزÙħ ÛĮÙĨ", + "ÑĢ еÑģÑĤ", + "ÑĢе ÑģÑĤ", + "ÑĢеÑģ ÑĤ", + "б аÑĩ", + "ба Ñĩ", + "Ùĩر ست", + "н ог", + "но г", + "ï¼Į 大", + "ĠëĺIJ íķľ", + "Ġz ůst", + "Ġzů st", + "ĠÐĴ она", + "ĠÐĴо на", + "å¤ĩ 份", + "Ġ اÙģت", + "Ġا Ùģت", + "ĠاÙģ ت", + "o je", + "oj e", + "Ñģк ÑĸлÑĮки", + "Ġnh ẹ", + "Ġк еÑĢÑĸв", + "ĠкеÑĢ Ñĸв", + "á¿ ¦", + "æĸ¹ æ¡Ī", + "з аÑĨиÑı", + "за ÑĨиÑı", + "ĠвÑĸдповÑĸд но", + "ĠвÑĸдпов Ñĸдно", + "ãĤ¤ ãĤ¹", + "г ал", + "га л", + "ĠобÑĭ Ñĩно", + "ĠобÑĭÑĩ но", + "اÙĪرپ ÙĪÛĮÙĨت", + "å® ľ", + "l osti", + "lo sti", + "los ti", + "lost i", + "è¿Ľ åħ¥", + "uyor du", + "벤 íĬ¸", + "æīĭ ãĤĴ", + "ÐŁ од", + "ÐŁÐ¾ д", + "ĠÙħØŃ Ø¯ÙĪد", + "Ġ Ø¢Ùħد", + "ĠØ¢ Ùħد", + "ĠØ¢Ùħ د", + "ar akter", + "arak ter", + "çļĦ 大", + "Ġsı cak", + "l ant", + "la nt", + "lan t", + "Ġd ấu", + "ĠÙĨ Ú©", + "èĢħ ãģ®", + "Ġkend ini", + "Ġkendi ni", + "Ġп аÑĨи", + "Ġпа ÑĨи", + "Ġ 기íĥĢ", + "Ġ기 íĥĢ", + "ĠвмеÑģÑĤ е", + "в аеÑĤÑģÑı", + "ва еÑĤÑģÑı", + "ваеÑĤ ÑģÑı", + "Ġ ë§ī", + "Ġë§ ī", + "ĠchvÃŃ li", + "Ø® ÛĮ", + "ÙĦ ع", + "n ÃŃky", + "nÃŃ ky", + "nÃŃk y", + "､ :", + "ëIJľ ëĭ¤", + "ì§ ķ", + "Ġк вÑĸÑĤ", + "Ġкв ÑĸÑĤ", + "¨ ìĸ´", + "l iž", + "li ž", + "Ġë¹Ħë°Ģ ê¸Ģ", + "Ġkh á»iji", + "Ġ ë°©ìĨ¡", + "Ġë°© ìĨ¡", + "e chan", + "ec han", + "ech an", + "echa n", + "Ġзакон одав", + "Ġа кÑĤ", + "Ġак ÑĤ", + "문 ìłľ", + "ĠN ó", + "Ġ çĤ¹", + "Ġç Ĥ¹", + "ĠçĤ ¹", + "hled em", + "hle dem", + "ĠÑģво ÑĹÑħ", + "ĠÑģвоÑĹ Ñħ", + "Ġر ÙĤÙħ", + "ĠرÙĤ Ùħ", + "æĽ ¼", + "ि वर", + "िव र", + "åİ ļ", + "ĠÐļ од", + "ĠÐļо д", + "à¤Ń à¤Ĺ", + "ìŀIJ ëĬĶ", + "à¸Ļ ม", + "Ñĥ Ñģа", + "ÑĥÑģ а", + "Ġg ünü", + "Ġgün ü", + "ĠÄij ÃŃch", + "Ġtr ữ", + "å ·»", + "å· »", + "éĵ¶ è¡Į", + "ØŃ ÙĨ", + "è® ¨", + "γ Ïĩ", + "á½ ¸", + "a larında", + "alar ında", + "aları nda", + "aların da", + "Ġk af", + "Ġka f", + "ÙĪ اج", + "ÙĪا ج", + "ĠиÑģ клÑİÑĩ", + "ĠиÑģк лÑİÑĩ", + "Ġnh iá»ħ", + "á»į t", + "ĠìĽ ¹", + "Ġ éĿ¢", + "ĠéĿ ¢", + "ãģ® ãģĮ", + "Ġм ало", + "Ġмал о", + "Ġма ло", + "Ñĸ лÑĸ", + "Ñĸл Ñĸ", + "Ġ biên", + "Ġb iên", + "Ġbi ên", + "n ému", + "né mu", + "ném u", + "пÑĢи меÑĢ", + "пÑĢ имеÑĢ", + "âĸł âĸł", + "Ġk amp", + "Ġka mp", + "Ġkam p", + "Ġ веÑī", + "Ġв еÑī", + "Ġве Ñī", + "Äį em", + "Äįe m", + "à¥ģ ध", + "à¥ģठ§", + "æŁ »", + "ت ÙĪÙĨ", + "تÙĪ ÙĨ", + "åıª æľī", + "ãģ¯ ãģĦ", + "Ġ รวม", + "Ġร วม", + "ãĤ ŀ", + "ãģĻ ãĤĭãģ¨", + "ãģĻãĤĭ ãģ¨", + "å¾Ī å¤ļ", + "à¹Ī à¸ķ", + "ĠsvÄĽt a", + "ĠsvÄĽ ta", + "Ġ ê°Ģ격", + "Ġê°Ģ 격", + "Ú¯ Ùĩ", + "an daÅŁ", + "and aÅŁ", + "anda ÅŁ", + "ãĥª ãĤ¹", + "Ïī μα", + "ĠØ® ÙĪب", + "ĠØ®ÙĪ ب", + "ç´ ħ", + "Ñĩ иÑģ", + "Ñĩи Ñģ", + "ì¢ Į", + "ĠØŃض رت", + "Ġви ÑĢÑĸÑĪ", + "Ù¾ ر", + "Ġtý d", + "Ġkon tro", + "Ġkont ro", + "д ейÑģÑĤв", + "ãģŁãĤģ ãģ«", + "ì ī", + "мини ÑģÑĤÑĢа", + "мин иÑģÑĤÑĢа", + "âĢ ¯", + "åī ij", + "ни ÑĨÑĸ", + "ниÑĨ Ñĸ", + "å¦ ĩ", + "Ġ лиÑĪ", + "Ġл иÑĪ", + "Ġли ÑĪ", + "ãģ£ ãģ¦ãĤĭ", + "ãģ£ãģ¦ ãĤĭ", + "на ÑĢÑĥж", + "наÑĢ Ñĥж", + "Ñī иÑħ", + "Ñīи Ñħ", + "ÏĦ οκ", + "ÏĦο κ", + "ov áno", + "ová no", + "ován o", + "تر ÙĦ", + "ÑĢ ек", + "ÑĢе к", + "غ ات", + "Ġ omez", + "Ġo mez", + "Ġom ez", + "ì ĵ°", + "ĠÃľ l", + "ï½ Ĵ", + "lı ģını", + "lıģ ını", + "lıģın ı", + "Ġv ượt", + "Ġb ÄĽÅ¾", + "ĠbÄĽ ž", + "Ãľ R", + "Ġ ãĥ¾", + "Ġãĥ ¾", + "ĠdoÄŁ al", + "Ġh atır", + "Ġha tır", + "Ġhat ır", + "Ġsv ým", + "ì§Ģ ëıĦ", + "à¹Ģà¸ł à¸Ĺ", + "Ġv ay", + "Ġva y", + "Ġ æĻĤ", + "Ġæ ĻĤ", + "ĠæĻ Ĥ", + "à¥įव प", + "Ġp lo", + "Ġpl o", + "é¢Ħ è§Ī", + "Ġçık tı", + "Ġ دÙĨ", + "Ġد ÙĨ", + "n ánÃŃ", + "ná nÃŃ", + "ê· Ģ", + "íĺ Ģ", + "à¸ŀ à¸ļ", + "m uÅŁtur", + "muÅŁ tur", + "å®ĺ æĸ¹", + "ĠíĶĦ ë¡ľê·¸ëŀ¨", + "éĢŁ 度", + "ler dir", + "lerdi r", + "ÑĩеÑģ кого", + "Ñĩе Ñģкого", + "ĠÄ°n san", + "âĶ ĥ", + "Ġà¤ĩत न", + "С Ð¡Ðł", + "Ġا Ùħر", + "ĠاÙħ ر", + "Ġkö tü", + "Ùģ Ø´", + "Ġb oj", + "Ġbo j", + "ĠÑĨÑĸ ÑĶÑĹ", + "Ġsöy lem", + "Ġsöyl em", + "ни ÑĨÑĭ", + "ниÑĨ Ñĭ", + "ãĢĤ 她", + "âĢĿ .Ċ", + "âĢĿ. Ċ", + "Ġm ilion", + "Ġmil ion", + "Ġmi lion", + "Ġmili on", + "Ġson unda", + "Ġsonu nda", + "з Ñĥ", + "à¥į मà¤ķ", + "à¥įम à¤ķ", + "人 åı£", + "n ÄĽÅ¾", + "nÄĽ ž", + "ĠÑģ моÑĤ", + "ĠÑģм оÑĤ", + "Ġкомп лекÑģ", + "Ġкомплек Ñģ", + "Ġзави Ñģим", + "Ġиме ÑİÑĤ", + "Ġl ạc", + "Ġlạ c", + "Ġ hangi", + "Ġh angi", + "Ġhang i", + "Ġhan gi", + "ëĶ ©", + "åĬ ³", + "ĠvÄĽ ci", + "ĠvÄĽc i", + "е ÑĢов", + "еÑĢ ов", + "еÑĢо в", + "κ Ïģι", + "Ġdur umu", + "Ġdurum u", + "Ġ بÙĪاسطة", + "ĠبÙĪ اسطة", + "ĠØ£ بÙĬ", + "Ġأب ÙĬ", + "ĠAÄŁ ustos", + "ε Ïĩ", + "Ġд иÑĤи", + "Ġди ÑĤи", + "ĠдиÑĤ и", + "ÑĦ ика", + "ÑĦи ка", + "ÑĦик а", + "Ġ NÄĥm", + "ĠN Äĥm", + "Ġ 기ìĪł", + "Ġ기 ìĪł", + "Ġhlav nÃŃ", + "ä¿ ĥ", + "Ġलà¤Ĺ त", + "ĠO br", + "ĠOb r", + ". ย", + "ко вод", + "ков од", + "ково д", + "o pis", + "op is", + "opi s", + "Ġ ãĥī", + "Ġãĥ ī", + "Ġبش ÙĥÙĦ", + "н ием", + "ни ем", + "ние м", + "Ġtém ÄĽÅĻ", + "ĠاÙĦ ØŃر", + "ĠاÙĦØŃ Ø±", + "ĠÙĦ ازÙħ", + "ĠÙĦا زÙħ", + "Ġm ái", + "Ġmá i", + "i liÄŁi", + "ili ÄŁi", + "ë³ ¼", + "Ġy ık", + "Ġyı k", + "ç½ ²", + "ÑĢ ава", + "ÑĢа ва", + "ÑĢав а", + "Ñī ин", + "Ñīи н", + "ãģ« 対", + "ç²¾ ç¥ŀ", + "à¹ī ส", + "Ġtem sil", + "à Ĩ", + "ìķ Ķ", + "ĠпÑĢавилÑĮ но", + "ÑĢ оÑİ", + "ÑĢо Ñİ", + "Û±Û³ Û¸", + "è© ŀ", + "اء Ø©", + "ÙĪ ارÙĩ", + "ÙĪا رÙĩ", + "ÙĪار Ùĩ", + "ï¼ ħ", + "ĠÐľ ик", + "ĠÐľÐ¸ к", + "æģ ¶", + "æı Ĵ", + "ा पन", + "ाप न", + "ĠÚ©ÛĮÙģ ÛĮت", + "ĠT Ãłi", + "Ġt iá»ĥu", + "ov alo", + "ova lo", + "oval o", + "çĿ ¡", + "Ñĩ ил", + "Ñĩи л", + "Ġ лиÑĤ", + "Ġл иÑĤ", + "Ġли ÑĤ", + "λεÏħ ÏĦα", + "Ġ окон", + "Ġо кон", + "Ġок он", + ": :|", + ":: |", + "в ала", + "ва ла", + "вал а", + "ĠÙħرک زÛĮ", + "ĠÙħرکز ÛĮ", + "Ġ alÄ±ÅŁ", + "Ġa lÄ±ÅŁ", + "Ġal Ä±ÅŁ", + "Ġдолж но", + "Ġдол жно", + "æĻĤ 代", + "Ġ sert", + "Ġs ert", + "Ġse rt", + "Ġser t", + "е ÑĤом", + "еÑĤ ом", + "ัà¸Ļ ย", + "åģ ·", + "Ġ vÃŃc", + "Ġv ÃŃc", + "ĠvÃŃ c", + "ĠÑħ оÑĤÑı", + "ĠÑħоÑĤ Ñı", + "a larını", + "alar ını", + "aların ı", + "len mesi", + "lenme si", + "ãĥ³ ãĥIJ", + "ãĥ³ãĥ IJ", + "Ġëª ĩ", + "Ġá» ¦y", + "ĠاÙĦ کتر", + "vy Å¡Å¡ÃŃ", + "è² ¬", + "주 ìĭľ", + "á ÅĻe", + "áÅĻ e", + "Ġy ere", + "Ġye re", + "Ġyer e", + "ãĤ¢ ãĥ³", + "ĠاÙĦس عÙĪد", + "ĠØ¢ Ø´", + "Ġch óng", + "Ġchó ng", + "Ġ è»", + "Ġè »", + "г аÑĶ", + "га ÑĶ", + "Ġ ãģĤ", + "ç¨ ³", + "δ εÏĤ", + "δε ÏĤ", + "缮 çļĦ", + "Ġce vap", + "Ġcev ap", + "Ñģ ÑĤе", + "ÑģÑĤ е", + "é¡ ¿", + "म न", + "é¡ ¾", + "Ġк ÑĢедиÑĤ", + "ĠÙħس تÙĤ", + "ĠÙħست ÙĤ", + "Ġ миÑĤ", + "Ġм иÑĤ", + "Ġми ÑĤ", + "Ġt á»ĵn", + "Ġtá» ĵn", + "Ġ جÙĦ", + "Ġج ÙĦ", + "Ä© a", + "ĠاÙĦع ÙĦÙħ", + "ĠاÙĦعÙĦ Ùħ", + "á ků", + "ák ů", + "Ġ íķĻêµIJ", + "ĠíķĻ êµIJ", + "à¸Ĺ à¸Ńà¸ĩ", + "ห à¸Ļà¸Ķ", + "หà¸Ļ à¸Ķ", + "ĠлÑĸÑĤ еÑĢаÑĤÑĥ", + "ëIJ ł", + "ά ÏģÏĩ", + "άÏģ Ïĩ", + "ĠÙĤد رت", + "ĠÙĤدر ت", + "à¸Ļ าà¸ĩ", + "à¸Ļา à¸ĩ", + "Ġa rac", + "Ġar ac", + "Ġara c", + "Ġj ÃŃd", + "ĠjÃŃ d", + "Ġtür lü", + "íĶ ½", + "er siz", + "ers iz", + "е ним", + "ен им", + "ени м", + "Ġyüz yıl", + "Ġ ãģĦ", + "ĠÎļ Ïħ", + "Ġ æļ", + "Ġæ ļ", + "Ġp ůj", + "Ġpů j", + "Ġt á»Ļi", + "Ġth iên", + "Ġthi ên", + "Ä° S", + "Ġth úc", + "Ġthú c", + "æĹ ģ", + "ìŀIJ ìĿ¸", + "Ġöl üm", + "ر ÛĮÙģ", + "رÛĮ Ùģ", + "ÑĢ еж", + "ÑĢе ж", + "ص اÙĦ", + "ر ÙģØ©", + "رÙģ Ø©", + "i ếp", + "iế p", + "Ñı ÑĤиÑı", + "ÑıÑĤ иÑı", + "ÑıÑĤи Ñı", + "Ġpou žit", + "á tu", + "át u", + "为 ä»Ģä¹Ī", + "ì ģ", + "Ġ krát", + "Ġk rát", + "Ġkr át", + "ĠپرÙĪ ÚĺÙĩ", + "Ġrozhod nutÃŃ", + "ĠÑĥ нивеÑĢ", + "Ñĸй но", + "Ġ åij¨", + "Ġåij ¨", + "Ġk iá»ĥu", + "缮 åīį", + "ä¿ Ħ", + "ÏĦ οι", + "ÏĦο ι", + "ÑĦеÑĢ ен", + "uÅŁ tur", + "Ġ nÃŃm", + "Ġn ÃŃm", + "ĠnÃŃ m", + "âĢĮ Ø®", + "Ġ ủy", + "Ġ ÑģÑĤаÑĤи", + "ĠÑģÑĤ аÑĤи", + "ĠÑģÑĤаÑĤ и", + "ĠÑģÑĤа ÑĤи", + "ÑĩеÑģ кий", + "Ñĩе Ñģкий", + "ÑĩеÑģки й", + "Ġj estli", + "Ġjest li", + "ĠÙ¾ ÙĨ", + "Ġob ce", + "ĠجÙĩ اÙĨÛĮ", + "ĠجÙĩاÙĨ ÛĮ", + "едаг ог", + "ãģ§ ãģ®", + "Ġbu á»Ļc", + "ì¹´ ì§Ģëħ¸", + "à¹ĩ à¸Ħ", + "ĠÄį tvrt", + "Ġ ника", + "Ġн ика", + "Ġни ка", + "Ġник а", + "Ġвп лив", + "Ġд иÑĢ", + "Ġди ÑĢ", + "ĠÑģоб ÑģÑĤвен", + "Ġë§İ ìĿ´", + "æ¾ ³", + "ÑĢ Ñĥб", + "ÑĢÑĥ б", + "æ£ ĭ", + "声 éŁ³", + "ä¹ ĥ", + "تÛĮ جÙĩ", + "å¹ ¼", + "o nya", + "on ya", + "ony a", + "ĠPlan tae", + "ĠPlant ae", + "Ч ÑĤо", + "æIJ Ń", + "ä½ľ çĶ¨", + "ìħ ¨", + "Ġк ÑĢÑĥг", + "Ġ ÙĪÙģÙĬ", + "ĠÙĪ ÙģÙĬ", + "ĠÙĪÙģ ÙĬ", + "Ġ ï¼ŀ", + "Ġï¼ ŀ", + "ÑĪ ки", + "Âł Ðľ", + "ا Ø´ÛĮ", + "اش ÛĮ", + "ĠÅŀ ubat", + "ĠÅŀu bat", + "Ġع شر", + "Ġعش ر", + "l if", + "li f", + "Ġpou žitÃŃ", + "Ġpoužit ÃŃ", + "íĨ ¡", + "Ġб лок", + "Ġбл ок", + "èĢ ¶", + "ู ร", + "Ġv üc", + "Ø´ ÙĪد", + "Ø´ÙĪ د", + "и ма", + "им а", + "ни ÑĨип", + "ниÑĨ ип", + "ìĿ´ ëĵľ", + "Ġ âĢIJ", + "ĠâĢ IJ", + "Ġ назнаÑĩ", + "Ġна знаÑĩ", + "Ġназ наÑĩ", + "Ġназна Ñĩ", + "Ġstr any", + "Ġstran y", + "Ġstra ny", + "æ® ¿", + "ĠاÙĦ رÙĪ", + "ĠاÙĦر ÙĪ", + "çº ¸", + "åĪ ij", + "ï¼Į ä»İ", + "Ġ ë©´", + "Ġë© ´", + "ĠпÑĢовед еннÑı", + "Ġh ava", + "Ġha va", + "Ġhav a", + "ĠìĹĨ ìĹĪëĭ¤", + "ĠìĹĨìĹĪ ëĭ¤", + "å¢ŀ åĬł", + "Ú ¾", + "ç¼ º", + "Ġع بار", + "Ġعب ار", + "Ġt ắc", + "Ġin ÅŁa", + "er se", + "ers e", + "ر ÙĬب", + "رÙĬ ب", + "Ġá»ķ n", + "Ø£ Ø©", + "ĠÏĢολ ι", + "ĠÏĢο λι", + "Ġm ắc", + "Ñģ ол", + "Ñģо л", + "æ´ ŀ", + "- го", + "-г о", + "ç¨ĭ 度", + "ĠвикоÑĢиÑģÑĤ аннÑı", + "âĢŀ ظ", + "e lerinde", + "eler inde", + "eleri nde", + "elerin de", + "ĠNh Æ°ng", + "ĠNhÆ° ng", + "st ÅĻed", + "Ġhasta lık", + "Ġhast alık", + "à¹ī à¹Ģà¸Ľ", + "Ġd efa", + "Ġde fa", + "Ġdef a", + "Ġ زÙĬ", + "Ġز ÙĬ", + "اط ÙĤ", + "Ġп ÑĢой", + "ĠпÑĢ ой", + "ĠпÑĢо й", + "Ġок ÑĢÑĥг", + "ν ια", + "νι α", + "l adu", + "la du", + "lad u", + "k oli", + "ko li", + "kol i", + "Ġ oÄŁ", + "Ġo ÄŁ", + "Ġви Ñģок", + "ĠвиÑģ ок", + "Ð ĩ", + "çĽ ĸ", + "ãĤı ãģij", + "ãĥ¼ ãĥģ", + "ãĥ¼ãĥ ģ", + "æ¡ ¥", + "ĠÅ¡kol y", + "ĠÅ¡k oly", + "i tom", + "it om", + "ito m", + "Ġت ØŃص", + "ĠتØŃ Øµ", + "a lara", + "al ara", + "ala ra", + "alar a", + "Ġк ал", + "Ġка л", + "ĠпÑĢи Ñħод", + "Ġ é¦ĸ页", + "Ġé¦ĸ 页", + " į", + "ĠÛĮ عÙĨÛĮ", + "Ġt ùy", + "Ģ ë¡ľ", + "볤 ê³ł", + "á ze", + "áz e", + "Ġ ек", + "Ġе к", + "èħ ¹", + "ĠF akat", + "ĠFa kat", + "ĠFak at", + "п о", + "ĠÄij á»įc", + "ĠÄijá»į c", + "å Īĺ", + "åĪ ĺ", + "áz al", + "ÑĤ он", + "ÑĤо н", + "Ú¯ ÙĪ", + "ä¸ Ī", + "ìĹ ¼", + "ĠÙĦÙĦ Ø£", + "ĠE ÄŁer", + "åħ±åĴĮ åĽ½", + "Ø° ر", + "Ġd aÄŁ", + "Ġda ÄŁ", + "è¡Į ä¸ļ", + "ê±°ëŀĺ ê°Ģ", + "è´Ł è´£", + "C ông", + "ĠÑĦ илÑĮ", + "ĠÑĦил ÑĮ", + "Ġ аÑģ", + "Ġа Ñģ", + "Ġch ẳng", + "ним аÑĤÑĮ", + "нима ÑĤÑĮ", + "Ġif ad", + "Ġi fad", + "Ġ ìħ", + "Ġì ħ", + "çĪ µ", + "ĠÅĻe Å¡enÃŃ", + "åĽ½ 产", + "Ġкак ой", + "Ġка кой", + "Ġम ध", + "ĠY ar", + "ĠYa r", + "ob raz", + "obra z", + "Ġon emoc", + "Ġ âĤ", + "Ġâ Ĥ", + "åİŁ åĽł", + "ĠÙĥ رد", + "ĠÙĥر د", + "Ġآز اد", + "Ġad lı", + "ĠH izmet", + "ãĥ¼ ãĥij", + "ãĥ¼ãĥ ij", + "ÙĨ سÙĬØ©", + "ÙĨس ÙĬØ©", + "Ġв нÑĥÑĤ", + "ĠвнÑĥ ÑĤ", + "Ġd ále", + "Ġdál e", + "Ġdá le", + "Îķ Î¥", + "Ġ ÑĥÑħ", + "ĠÑĥ Ñħ", + "Ġ ÑĢев", + "ĠÑĢ ев", + "ĠÑĢе в", + "Ġ меÑĪ", + "Ġм еÑĪ", + "ĠkoÅŁ ul", + "ĠاÛĮ راÙĨÛĮ", + "ĠاÛĮراÙĨ ÛĮ", + "éĺ µ", + "Ġ ëıĻìķĪ", + "ĠëıĻ ìķĪ", + "à¹Ģ à¸Ł", + "à¹ĢภŁ", + "ëłĪ 벨", + "è¨Ń è¨Ī", + "p rak", + "pr ak", + "pra k", + "p oÄį", + "po Äį", + "اع دة", + "اعد Ø©", + "Ġas ker", + "Ġask er", + "ĠÙĪÛĮ ÚĺÙĩ", + "ĠÙĪÛĮÚĺ Ùĩ", + "ĠТ еÑĢ", + "ĠТе ÑĢ", + "mak ta", + "makt a", + "ĠÄįty ÅĻ", + "Âł С", + "âĢĮÚ©ÙĨ ÙĨد", + "ï¼Į 並", + "ĠÑĢоÑģ Ñĸй", + "Ġu nut", + "Ġun ut", + "è¿Ļ ä¸Ģ", + "o pak", + "op ak", + "opa k", + "èĢ IJ", + "Ġз амеÑĤ", + "Ġза меÑĤ", + "Ġзам еÑĤ", + "à¹Į ล", + "ب ÙĨ", + "Ġ 몰", + "Ġëª °", + "Ġins anlar", + "Ġinsan lar", + "åı¯ æĺ¯", + "æ¢ ¦", + "к од", + "ко д", + "èĽ Ľ", + "kl adnÃŃ", + "klad nÃŃ", + "ÑĢов од", + "ÑĢо вод", + "ĠмÑĸ ÑģÑĤа", + "ĠмÑĸÑģ ÑĤа", + "ĠмÑĸÑģÑĤ а", + "åĩº äºĨ", + "Ġп аÑģ", + "Ġпа Ñģ", + "о бов", + "об ов", + "Ú¯ اÙĩÛĮ", + "گاÙĩ ÛĮ", + "в ин", + "ви н", + "à¥įर ध", + "Ġком пон", + "Ġкомп он", + "Ġ аÑĤ", + "Ġа ÑĤ", + "Ġa det", + "Ġad et", + "Ġade t", + "Ġ ãĥģ", + "Ġãĥ ģ", + "ĠØ° ات", + "ĠØŃ ÙĪ", + "Ġtro chu", + "à¹ģ หà¸Ļ", + "à¹ģห à¸Ļ", + "Ġзав жди", + "ĠPart isi", + "ĠParti si", + "ĠS avaÅŁ", + "ĠSav aÅŁ", + "Ġs ÃŃd", + "ĠsÃŃ d", + "Ġ Ñģон", + "ĠÑģ он", + "ĠÑģо н", + "ر ÙĬÙģ", + "رÙĬ Ùģ", + "Ġz cela", + "åĺ ´", + "ĠÑĦ ÑĥÑĤ", + "il erek", + "ile rek", + "iler ek", + "ilere k", + "m alıdır", + "malı dır", + "Ġd á»±a", + "Ġdá»± a", + "à¸Ĺำ à¸ĩาà¸Ļ", + "ĠÙĪÙĦ ÙĥÙĨ", + "ĠÙĪÙĦÙĥ ÙĨ", + "ãģª ãĤĵãģł", + "ãģªãĤĵ ãģł", + "ĠÚ© ÙħÛĮ", + "ĠÚ©Ùħ ÛĮ", + "Ġléka ÅĻ", + "Ïģ Ïį", + "ج Ùħع", + "جÙħ ع", + "ın ızı", + "ını zı", + "ınız ı", + "ĠAn adolu", + "ãģ«ãĤĪ ãģ£ãģ¦", + "Ġê·¸ëŁ¬ ëĤĺ", + "Ġ íĮĶ", + "ĠíĮ Ķ", + "Ñĸ ÑĤÑĮ", + "ÑĸÑĤ ÑĮ", + "Ġ ¦", + "Ġ ¦", + "ä¸į è¦ģ", + "à¸ĸ ม", + "Ġ ÙĬد", + "ĠÙĬ د", + "ĠpÅĻ ep", + "ĠpÅĻe p", + "Ġ è¦ģ", + "Ġè¦ ģ", + "ĠпÑĢо екÑĤ", + "ĠпÑĢоек ÑĤ", + "ĠÑĢе ги", + "ĠÑĢег и", + "Ġd ạy", + "к ового", + "ков ого", + "ково го", + "Ġ ıs", + "Ġı s", + "ĠK ı", + "ĠÙģÙĬ Ùĩا", + "ĠÙģÙĬÙĩ ا", + "ÛĮ ات", + "ÛĮا ت", + "ĠÑģÑĤ ала", + "ĠÑģÑĤал а", + "ĠÑģÑĤа ла", + "æĬ ľ", + "Ñĥ ÑĢа", + "ÑĥÑĢ а", + "ĠÙ¾ اÛĮاÙĨ", + "ĠپاÛĮ اÙĨ", + "Ġپا ÛĮاÙĨ", + "Ġitibar en", + "а нÑĸÑĹ", + "ан ÑĸÑĹ", + "анÑĸ ÑĹ", + "Ġо ÑĦоÑĢм", + "л еÑĩ", + "ле Ñĩ", + "ε ξ", + "æĶ¿ çŃĸ", + "Ġ ç½ij", + "Ġç½ ij", + "å Ĥ¬", + "åĤ ¬", + "ĠìĿ´ 룰", + "Ġkar deÅŁ", + "Ñİ Ñīего", + "ÑİÑī его", + "л ки", + "ĠاÛĮ اÙĦات", + "ت Ùĩا", + "تÙĩ ا", + "Ġпод Ñħод", + "ĠØŃ ÙĪÙĦ", + "ĠØŃÙĪ ÙĦ", + "ĠÑģов ÑĢем", + "íĿ ¥", + "Ġ 詳細", + "Ġè© ³ç´°", + "ı yı", + "ıy ı", + "ĠتÙĤ ÙĪ", + "æ¯Ķ è¾ĥ", + "Ġαν ÏĦι", + "Ġ ΣΤ", + "ĠΣ Τ", + "ji Å¡Å¥", + "yn ı", + "Ġpo cházet", + "- Ðļ", + "Ġзав д", + "Ùİ Ø³", + "ç»ĵ æŀĦ", + "Ùħ ار", + "Ùħا ر", + "ν οι", + "νο ι", + "ĠÎł εÏģι", + "ĠγεÏģ ι", + "èĩ £", + "Ġna cházÃŃ", + "Ġnach ázÃŃ", + "ÏĦ Ïİ", + "à¥įय त", + "u yu", + "uy u", + "æķ Ĺ", + "e bi", + "eb i", + "Ġë°Ķ ë¡ľ", + "ĠгÑĢ н", + "ĠاÙĦ اس", + "Ġorg án", + "Ġ edin", + "Ġe din", + "Ġed in", + "Ġedi n", + "åŁ ĥ", + "à¹ģ à¸Ħ", + "ĠØŃ Ø¯ÙĪد", + "ĠØŃد ÙĪد", + "ĠдÑĢÑĥг ой", + "ĠдÑĢÑĥго й", + "оÑģ ков", + "оÑģк ов", + "ĠS ợ", + "ĠpÅĻ ib", + "ĠpÅĻi b", + "ä¿Ŀ æĬ¤", + "Ùħ بر", + "Ġ ãĥĨ", + "Ġãĥ Ĩ", + "Ġd oz", + "Ġdo z", + "op tera", + "opt era", + "ิล à¸Ľ", + "د ارÛĮ", + "دار ÛĮ", + "دا رÛĮ", + "æĦŁ è§ī", + "代 çIJĨ", + "ÙĨ دا", + "ÙĨد ا", + "ا ÙĬا", + "اÙĬ ا", + "ص ÙĨ", + "Ġce lé", + "Ġcel é", + "Ġ è©ķ", + "Ġè© ķ", + "à¸ĩ à¸Ļ", + "Ġ leh", + "Ġl eh", + "Ġle h", + "èİ· å¾Ĺ", + "ãĢĢ ï¾ī", + "ĠìĦł ìĪĺ", + "르 ëĬĶ", + "à¤Ĩ र", + "å§Ķ åijĺ", + "æĹł çłģ", + "Ġ è·", + "Ġè ·", + "Ġza jÃŃm", + "Ġzaj ÃŃm", + "ec ké", + "eck é", + "æ µľ", + "æµ ľ", + "ĠÑĥ нÑĸвеÑĢÑģиÑĤ", + "ĠбÑİдж еÑĤ", + "à¥ĩ .", + "Ġv stup", + "Ġ оÑī", + "Ġо Ñī", + "Ġ åľĭ", + "Ġåľ ĭ", + "ä¸ģ 缮", + "Ġв едÑĮ", + "Ġвед ÑĮ", + "Ġë§IJ ìĿĦ", + "Ġtek nik", + "Ġtekn ik", + "ãĢĢ ï½Į", + "ãĢĢï½ Į", + "ĠпÑĸд виÑī", + "ĠÑģвÑıз и", + "ĠÑģвÑı зи", + "Ġتر جÙħ", + " ī", + "ĠÄij âu", + "Ñĸ Ñĩного", + "ÑĸÑĩ ного", + "å°ij å¹´", + "e cta", + "ect a", + "ec ta", + "ि लत", + "िल त", + "ι οÏĤ", + "ιο ÏĤ", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "t eg", + "te g", + "á» īnh", + "á»ī nh", + "¯ ¿", + "Ġne bu", + "Ġneb u", + "ÙĬ ÙĬÙĨ", + "о ÑıÑĤ", + "оÑı ÑĤ", + "é¤ Ĭ", + "ĠاÙĤتص ادÛĮ", + "ĠاÙĤتصاد ÛĮ", + "âĢĻ nun", + "âĢĻn un", + "ĠÐĴ Ñĸк", + "Ġng Äĥn", + "ëĮĢ íķĻêµIJ", + "ëĮĢíķĻ êµIJ", + "é ı", + "़ र", + "ا باÙĨ", + "اب اÙĨ", + "Ùİ Ùĥ", + "Ġet kil", + "Ġetk il", + "Ġetki l", + "Ġch ắn", + "Ġë°ľ ìĥĿ", + "Ġtam amen", + "Ġtamam en", + "ĠÙħØŃ ÛĮØ·", + "ü lü", + "ül ü", + "åģ¥ 康", + "ĠÑĢаÑģÑĤ ениÑı", + "ÏĢο ί", + "Ġ è¶ħ", + "Ġè¶ ħ", + "á Äį", + "ĠìĻ¸ ë¶Ģ", + "ĠØ® ÛĮÙĦÛĮ", + "ĠØ®ÛĮ ÙĦÛĮ", + "Ġد ÙĪست", + "ĠدÙĪ ست", + "à¹Ģà¸Ĥ à¸ķ", + "Ġk alan", + "Ġka lan", + "Ġkal an", + "ë¨ ¼", + "a vÄĽ", + "av ÄĽ", + "문 íĻĶ", + "Ġди аг", + "ĠÙĨ ÙĪÙĬس", + "ĠÙĨÙĪ ÙĬس", + "íķ ij", + "à¸ŀ าะ", + "ëĭ¤ ê°Ģ", + "Ġn iá»ĩm", + "Ġس ÙĪÙħ", + "ĠسÙĪ Ùħ", + "- м", + "à¸Ķำ à¹Ģà¸Ļ", + "à¹ĩ ว", + "ãĢĤ ãģĵãģ®", + "ç¯ ī", + "Width Space", + "Zero WidthSpace", + "ائ ÙħØ©", + "ائÙħ Ø©", + "à¹Ħà¸ĭ à¸ķ", + "ä¸ĭè½½ 次æķ°", + "ä¼¼ ä¹İ", + "ĠÑĤ в", + "Ġzá kaz", + "Ġج دا", + "Ġجد ا", + "Ġg ider", + "Ġgi der", + "Ġgid er", + "ãĥ¼ ãĥĵ", + "ãĥ¼ãĥ ĵ", + "n ů", + "Ġë§ģ íģ¬", + "ĠdÃ¼ÅŁ ük", + "Ñĥ нок", + "Ñĥн ок", + "Ġt óc", + "ĠÑĤ ÑĢÑĥб", + "ĠÑĤÑĢ Ñĥб", + "ĠÑĤÑĢÑĥ б", + "о кÑģ", + "ок Ñģ", + "Ġtr ải", + "Ġtrả i", + "Ġm iá»ħn", + "Ġth Æ°á»Ľc", + "Ġnh áºŃt", + "Âł D", + "m asının", + "mas ının", + "masını n", + "è¼ ª", + "ĠÎĿ ο", + "er ç", + "Ġdok once", + "Ġdokon ce", + "ĠG üven", + "ĠGü ven", + "ov aná", + "ova ná", + "ovan á", + "е зд", + "ез д", + "Ñĸ нÑĮ", + "Ñĸн ÑĮ", + "èģ ²", + "اÙĦ Ø£", + "ï¼Į ä½Ĩæĺ¯", + "ï¼Įä½Ĩ æĺ¯", + "Ġпол ноÑģÑĤÑĮÑİ", + "Port ály", + "ĠØŃ Ø§Ùģظ", + "à¥Ĥ à¤ķ", + "ÑĢ Ñĥн", + "ÑĢÑĥ н", + "人 çī©", + "Ġa çı", + "Ġaç ı", + "Ġp oru", + "Ġpo ru", + "Ġpor u", + "er iod", + "eri od", + "ĠAmer ika", + "ĠAmerik a", + "çĩ Ł", + "Ġ رÙĪد", + "Ġر ÙĪد", + "ĠرÙĪ د", + "ĠкÑĢов и", + "ÙĪ ÙĤت", + "ÙĪÙĤ ت", + "éĺ ¶", + "ãĥ»âĶģ ãĥ»âĶģ", + "ر ÙĬÙħ", + "رÙĬ Ùħ", + "åİĨ åı²", + "ä¸ ¸", + "Ġзн овÑĥ", + "Ġзнов Ñĥ", + "ĠÑģво его", + "ĠÑģвое го", + "бÑĥд ÑĮ", + "ĠØŃ Ø¬Ùħ", + "ĠØŃج Ùħ", + "ĠδÏį ο", + "ìķĪ ëĤ´", + "Ġ ãģ§", + "à¹Ī ะ", + "Ùij Ùı", + "çµIJ æŀľ", + "âĢĻ i", + "à¹Į ,", + "åŃĺ äºİ", + "Ġरà¤ĸ न", + "ĠسرÙħ اÛĮÙĩ", + "Ġг лÑĥб", + "ĠглÑĥ б", + "ĠÑĢаз Ñĸ", + "ĠÑĢа зÑĸ", + "Ñĩ нÑĸ", + "ï¼Į åıĪ", + "c ısı", + "cı sı", + "æľī åħ³", + "ãĤ» ãĥ³", + "èIJ ¨", + "ĠGi áo", + "ĠGiá o", + "ĠاÙĦØ« اÙĨÙĬ", + "ĠÑĢаз ом", + "Ġ ÑĤÑĢо", + "ĠÑĤ ÑĢо", + "ĠÑĤÑĢ о", + "Ġaçık lam", + "åĨ³ å®ļ", + "à¸Ń à¸Ľ", + "åĶ ¯", + "ĠÅŁ ark", + "ĠÅŁar k", + "Ġsist emi", + "Ġsistem i", + "Ġto prak", + "Ġtop rak", + "èĢĥ ãģĪ", + "Ġпоп ÑĥлÑıÑĢ", + "Ġ ëĨį", + "ĠëĨ į", + "ا ÙĬÙĨ", + "اÙĬ ÙĨ", + "स म", + "Ġ ÂĢ", + "Ġ Ģ", + "Ġed erek", + "Ġeder ek", + "Ġg ec", + "Ġge c", + "ìĤ¬ ìĹħ", + "ĠÑĢ оки", + "ĠÑĢок и", + "ĠбеÑĢ ем", + "ĠخاÙĨÙĪ ادÙĩ", + "Ġ èµ·", + "Ġèµ ·", + "Ġ ЧÑĤо", + "ĠЧ ÑĤо", + "Ġo bÄĽ", + "Ġob ÄĽ", + "и нÑĸ", + "ин Ñĸ", + "ìĿ´ ìĹĪ", + "ĠIn di", + "ĠInd i", + "Ġд иÑĤ", + "Ġди ÑĤ", + "ãĥ¶ æľĪ", + "Ġнем ного", + "Ġzáklad ÄĽ", + "à¹Ĥ à¸Ħ", + "ĠÑģам ого", + "ĠÑģамо го", + "Ġب ØŃØ«", + "ĠبØŃ Ø«", + "Ġ æ¶", + "Ġæ ¶", + "ов ж", + "Ġоб ÑĢаÑī", + "ĠобÑĢа Ñī", + "à Ĵ", + "ว รร", + "วร ร", + "à¤Ĥ श", + "ĠоÑĩ еÑĢед", + "ĠÙģ رز", + "ĠÙģر ز", + "ëĮĢ íķľ", + "Ġs izin", + "Ġsi zin", + "Ġsiz in", + "Ġsizi n", + "ر Ùģت", + "رÙģ ت", + "Ñİ Ñīим", + "ÑİÑī им", + "æ» ij", + "a vir", + "av ir", + "avi r", + "ĠÙĪ صÙĦ", + "ĠÙĪص ÙĦ", + "Ġqu ay", + "Ġqua y", + "Ġг ип", + "ÑĢ ениÑı", + "ÑĢе ниÑı", + "ÑĢен иÑı", + "à¥į वत", + "à¥įव त", + "ιν Ïīν", + "à¤ľ ह", + "Ġh Æ¡i", + "Ġpo važ", + "Ġpov až", + "Ġع رب", + "м енÑĤа", + "мен ÑĤа", + "менÑĤ а", + "Ġо ÑģÑĤан", + "ĠоÑģÑĤ ан", + "ä¹ĭ éĹ´", + "a cÃŃch", + "ac ÃŃch", + "acÃŃ ch", + "ĠÑģказ ала", + "ĠÑģказал а", + "ìĿ´ ëĿ¼ëĬĶ", + "ìĿ´ëĿ¼ ëĬĶ", + "ĠØ´ اخ", + "Ġëĭ¹ ìĭł", + "ar lar", + "arl ar", + "Ġмл н", + "åĨ ¬", + ". :.:.:", + ".: .:.:", + ".:.: .:", + ".:. :.:", + ".:.:. :", + "Ġ θε", + "Ġθ ε", + "Ġher kes", + "Ġherk es", + "л Ñıд", + "лÑı д", + "ا Ùħا", + "اÙħ ا", + "Ġë ŃIJ", + "Ïĥιμο ÏĢοι", + "Ġ obraz", + "Ġob raz", + "Ġobr az", + "Ġobra z", + "غ اÙĦ", + "B Æ°á»Ľc", + "å° Ĭ", + "ìŀIJ 를", + "æĢ Ĵ", + "οÏħ Ïģγ", + "å¼ķ ãģį", + "Ġkon uda", + "Ġkonu da", + "ĠاÙĦت ج", + "Ġ krit", + "Ġk rit", + "Ġkr it", + "å¿ į", + "ĠìłĦìĦ¸ ê°Ģ", + "г овоÑĢ", + "го воÑĢ", + "гов оÑĢ", + "Ġist iyor", + "о ки", + "ок и", + "ĠобеÑģп еÑĩ", + "ĠобеÑģпе Ñĩ", + "Ġay rıca", + "Ġayrı ca", + "à¹Ģ à¸ľ", + "à¹Ģภľ", + "а ÑĢод", + "аÑĢ од", + "Ä° Åŀ", + "ĠجÙħ ÙĩÙĪرÛĮ", + "ĠجÙħÙĩÙĪر ÛĮ", + "ĠÑģво иÑħ", + "ĠÑģвои Ñħ", + "Ġprov ád", + "Ġ ÑĢам", + "ĠÑĢ ам", + "ĠÑĢаР¼", + "ĠÑĢа м", + "ĠÙĤ ض", + "л иÑĤелÑĮ", + "лиÑĤ елÑĮ", + "ãĤ± ãĥĥãĥĪ", + "оÑģ оÑĦ", + "Ġर हन", + "Ġरह न", + "k ový", + "ko vý", + "kov ý", + "ì° ¸", + "γ κα", + "γκ α", + "λ οι", + "λο ι", + "μ ÏĢο", + "μÏĢ ο", + "ĠÄij au", + "ĠÄija u", + "н иÑİ", + "ни Ñİ", + "Ġman žel", + "Ġ íĺ¼", + "Ġíĺ ¼", + "ĠÑĤ иÑģ", + "ĠÑĤи Ñģ", + "ãĥĨ ãĥ«", + "ab ilecek", + "abil ecek", + "abile cek", + "abilece k", + "н ин", + "ни н", + "à¸ģรรม à¸ģาร", + "éł IJ", + "Ġph ê", + "j edn", + "je dn", + "jed n", + "交 æµģ", + "Ġвним ание", + "об ÑĢеÑĤ", + "Ġжиз нÑĮ", + "ÑĢи ÑģÑĤи", + "ÑĢиÑģÑĤ и", + "ÑĢиÑģ ÑĤи", + "à¥Ī à¤ļ", + "Ġyüz den", + "Ġyüzde n", + "Ġg iy", + "Ġgi y", + "éļ Ķ", + "ä» ²", + "Ġ èĻ", + "Ġè Ļ", + "ĠP arti", + "ĠPart i", + "ĠPar ti", + "Ġ éĸ¢", + "Ġéĸ ¢", + "ัà¸ļ ส", + "Ġnej lepÅ¡ÃŃ", + "Ùİ Ùī", + "ĠìĿ´ ìłľ", + "Ġc ắt", + "ÑĢоз Ñĥм", + "Ġnej sou", + "l ÃŃd", + "lÃŃ d", + "θ ο", + "à¹ĩ à¸ĩ", + "ĠÑģп ÑĢоÑģ", + "ma mÄ±ÅŁ", + "mam Ä±ÅŁ", + "Ġ 쪽", + "Ġì ª½", + "ا ÙģÙĤ", + "اÙģ ÙĤ", + "ÑĨÑĸй ниÑħ", + "Ġ é¦Ļ", + "Ġé¦ Ļ", + "ĠÙħÛĮÙĦÛĮ ÙĪÙĨ", + "å¤ ¢", + "ĠÙģ Ùĩرست", + "r ý", + "Ġпо вÑĸдом", + "Ġпов Ñĸдом", + "ec eÄŁi", + "ece ÄŁi", + "ĠзабезпеÑĩ еннÑı", + " Ķ", + "ãģĹ ãģªãģĦ", + "åŁº ç¡Ģ", + "ĠÚĨ ÙĨÛĮÙĨ", + "ĠÑĢоз ÑĢоб", + "ä¸Ģ äºĽ", + "ãĥ³ ãģ®", + "ĠпÑĢа ÑĨÑĸв", + "ĠпÑĢаÑĨÑĸ в", + "å¾Ĺ åĪ°", + "Ġt ấn", + "åŃĺæ¡£ å¤ĩ份", + "Ġ íĻĪ", + "ĠíĻ Ī", + "Ġ à¸Ķาว", + "Ġà¸Ķ าว", + "ìĭ ±", + "л ина", + "ли на", + "лин а", + "ĠвоÑģп ал", + "ÄŁ inden", + "ÄŁin den", + "ÄŁinde n", + "аÑĤ елей", + "аÑĤе лей", + "r ž", + "ĠÑĦ Ñĥн", + "ĠÐIJ л", + "ĠпоÑĩ ÑĤи", + "о вÑĸд", + "ов Ñĸд", + "овÑĸ д", + "ا عب", + "اع ب", + "าะ ห", + "Ġвоз ÑĢаÑģÑĤ", + "ิà¸ĩ ห", + "ĠÙģ ÙĦس", + "ĠÙģÙĦ س", + "ĠÅ¡ est", + "à¸Ĭ าว", + "Ġ 골", + "Ġê³ ¨", + "Ġ oÄį", + "Ġo Äį", + "ãĤ¸ ãĥ§", + "к оÑģÑĤи", + "ко ÑģÑĤи", + "éĽĨ åĽ¢", + "æ± ĩ", + "ĠpÅĻÃŃ liÅ¡", + "Ġ ìĿij", + "ĠìĿ ij", + "ди ви", + "див и", + "ĠдокÑĥм енÑĤа", + "ĠдокÑĥменÑĤ а", + "ĠCh âu", + "Ġm áu", + "Ġmá u", + "Ġkh ô", + "à ķ", + "Ñī ий", + "Ñīи й", + "Ġs ẵn", + "Ġкон ÑĦ", + "Ġз ÑĥÑģÑĤ", + "åĽŀ çŃĶ", + "Ġ коÑĢиÑģÑĤ", + "ĠкоÑĢ иÑģÑĤ", + "Ġко ÑĢиÑģÑĤ", + "ĠÏĢεÏģ ί", + "ĠÏĢε Ïģί", + "ä¸ °", + "Ġm ạch", + "ан к", + "ä¸ĭ æĿ¥", + "èµĦ æĸĻ", + "ย à¸Ńà¸Ķ", + "ĠÏĢ ιο", + "à¹ī à¸ĩาà¸Ļ", + "à¹īà¸ĩ าà¸Ļ", + "Ġum ÃŃst", + "æ½ ®", + "çªģ çĦ¶", + "Ġk ultur", + "Ġkul tur", + "ĠاÙĦ صÙģ", + "ĠاÙĦص Ùģ", + "a larının", + "alar ının", + "aların ın", + "alarını n", + "ĠÎĶη μο", + "Ġвикон аннÑı", + "Ġвико наннÑı", + "ï½ ¿", + "Ġбез опаÑģ", + "ĠÑģ аÑħ", + "Ġn oh", + "Ġno h", + "à¹ĥ à¸ļ", + "éĥ½ å¸Ĥ", + "ÅŁ am", + "ÅŁa m", + "б ÑĥÑĤ", + "бÑĥ ÑĤ", + "Ġ모 ìĬµ", + "Ġв аг", + "Ġва г", + "çIJĨ 解", + "Ġekonom ik", + "Ġkh ắc", + "Ġs vat", + "Ġsv at", + "лиÑĪ ком", + "ัà¸ĩ à¸Īาà¸ģ", + "iz yon", + "èĥ½ å¤Ł", + "ί νει", + "ίν ει", + " Ĭ", + "ì¦ Į", + "Ġ ÙĩاÛĮÛĮ", + "ĠÙĩ اÛĮÛĮ", + "ĠÙĩاÛĮ ÛĮ", + "ĠkiÅŁ iler", + "ĠkiÅŁi ler", + "Ġк леÑĤ", + "Ġкл еÑĤ", + "Ġкле ÑĤ", + "íĺ ģ", + "à¥ĥ द", + "i Å¡", + "ëĶĶ ìĺ¤", + "ÙĬ راÙĨ", + "ÙĬر اÙĨ", + "ÙĬرا ÙĨ", + "ĠÐĿ Ñĥ", + "à¸Ń à¸Ļà¸Ĺ", + "à¸Ńà¸Ļ à¸Ĺ", + "ĠÑģ оÑĩ", + "ĠÑģо Ñĩ", + "Ġist eyen", + "ĠS ez", + "ĠSe z", + "Ġ ãĤ»", + "ĠãĤ »", + "ĠA ç", + "âĢĮ ÙĨ", + "ĠÑĤ оп", + "ĠÑĤо п", + "ĠÑĤеÑĢÑĢиÑĤ оÑĢ", + "a cılık", + "acı lık", + "Ġод нÑĥ", + "Ġv eri", + "Ġver i", + "Ġve ri", + "ĠÚ© د", + "ĠÚ¯ ÙģتÙĩ", + "ĠÚ¯Ùģت Ùĩ", + "Ġcin sel", + "Ġcins el", + "олог ии", + "ĠpÅĻed mÄĽt", + "à¤Ĥ à¤ĺ", + "Ġ 空", + "Ġç© º", + "γ α", + "' ye", + "'y e", + "ت رة", + "تر Ø©", + "Ġd ÅĻÃŃ", + "ĠH Ãłn", + "ĠHÃł n", + "Ġر شتÙĩ", + "Ġv idea", + "Ġvi dea", + "Ġvid ea", + "Ġvide a", + "Ġ ног", + "Ġн ог", + "Ġно г", + "æ ·»", + "æ· »", + "è¿ĺ æľī", + "ÙĨ در", + "ÙĨد ر", + "Ġy erde", + "Ġyer de", + "Ġk ent", + "Ġke nt", + "Ġken t", + "à¸ļ าล", + "Ġд еÑģÑı", + "Ġде ÑģÑı", + "ä¸ļ åĬ¡", + "Ġоб ÑĬек", + "ĠобÑĬ ек", + "ĠвнÑĥÑĤÑĢ ÑĸÑĪ", + "ĠвнÑĥÑĤ ÑĢÑĸÑĪ", + "k ola", + "ko la", + "kol a", + "eb nÃŃ", + "ี ล", + "Ġ ,.", + "Ġ, .", + "ĠмÑĸж наÑĢод", + "ãģªãĤĵ ãģ¦", + "ĠS öz", + "Ġ chod", + "Ġc hod", + "Ġch od", + "Ġcho d", + "Ġtr úc", + "Ġtrú c", + "ìļĶ ìĿ¼", + "Ġph áºŃn", + "Ñģ ка", + "Ñģк а", + "ĠÑħ лоп", + "Ñģ ким", + "Ñģк им", + "Ñģки м", + "Ġka pit", + "Ġkap it", + "ëĵ¤ ìĹIJê²Į", + "Ġb Ãło", + "ĠbÃł o", + "lı ģın", + "lıģı n", + "lıģ ın", + "Ä° ÅŁ", + "Äį nÃŃk", + "ÄįnÃŃ k", + "Ġ NgoÃłi", + "ĠNg oÃłi", + "Ġب ÛĮاÙĨ", + "ĠبÛĮ اÙĨ", + "Ġpro Äį", + "Ġpr oÄį", + "ĠпÑĢоÑĤ Ñıгом", + "åĢ ī", + "е Ñİ", + "Ġ νο", + "Ġν ο", + "ëĿ¼ ëıĦ", + "ì ·¨", + "Ġви Ñıв", + "Ġпо над", + "Ġпон ад", + "Ġжов ÑĤ", + "Ġ æ¯Ķ", + "Ġæ¯ Ķ", + "Ġd oby", + "Ġdo by", + "Ġdob y", + "л ам", + "ла м", + "Ñij л", + "Ġ ÑĢаÑħ", + "ĠÑĢ аÑħ", + "ĠÑĢа Ñħ", + "Ġвоз ника", + "Ġвозник а", + "ниÑĨÑĤ во", + "å± ¤", + "ĠоÑĤ лиÑĩ", + "ĠоÑĤли Ñĩ", + "çĤ İ", + "é£ ¯", + "Ġživ ota", + "Ġživot a", + "at ör", + "Ġce lý", + "Ġcel ý", + "Ġ aday", + "Ġa day", + "Ġad ay", + "Ġada y", + "ر ÙĬÙĥÙĬ", + "رÙĬ ÙĥÙĬ", + "رÙĬÙĥ ÙĬ", + "Ġب ص", + "m eyen", + "me yen", + "meye n", + "mey en", + "ìļ° ìĬ¤", + "ب ÙĪÙĦ", + "بÙĪ ÙĦ", + "Ġ озна", + "Ġо зна", + "Ġоз на", + "é º¼", + "éº ¼", + "æĵ ļ", + "Ġz kou", + "Ġzk ou", + "ëĤĺ ìļĶ", + "Ġk ry", + "Ġkr y", + "Ġnem oh", + "Ġvyu žÃŃ", + "Ġ æľ¨", + "Ġад мÑĸнÑĸÑģÑĤÑĢа", + "ا Ùĩا", + "اÙĩ ا", + "à¹ĥ à¸ģล", + "＿＿＿＿ ＿＿＿＿", + "Ġ гоÑĤ", + "Ġг оÑĤ", + "ĠدÛĮ گرÛĮ", + "ĠدÛĮگر ÛĮ", + "Ġл екаÑĢ", + "è§ Ģ", + "Ġ íĺij", + "Ġíĺ ij", + "ĠB öyle", + "ist rov", + "istr ov", + "istro v", + "女 åŃIJ", + "Ġпоп еÑĢед", + "ĠÙĨÙĪÙĬس ÙĨدÙĩ", + "ÙĴ ÙĦ", + "ĠÐŁ ав", + "Ġö rnek", + "Ġör nek", + "Ġп ÑĢик", + "ĠпÑĢ ик", + "ĠпÑĢи к", + "Ġ ÑĪи", + "ĠÑĪ и", + "üslü man", + "ĠÙħÙĤ ابÙĦ", + "åįģ äºĮ", + "Ġb ekl", + "Ġbe kl", + "Ġbek l", + "Ġver ir", + "Ġve rir", + "Ġveri r", + "ÙĪ Ø°", + "ض Ø©", + "ÑĢо ÑĤив", + "ÑĢоÑĤ ив", + "æĮ ij", + ". .:", + ".. :", + "Ġخارج ÙĬØ©", + "a dık", + "ad ık", + "adı k", + "ĠÐŁ оÑĩ", + "ĠÐŁÐ¾ Ñĩ", + "ĠÑħÑĥд ож", + "客 æĪ·", + "μ ον", + "μο ν", + "ek tiv", + "ekt iv", + "Ġt vá", + "Ġtv á", + "Û² Û²", + "Ġl á»įc", + "Ġо но", + "Ġон о", + "ÑĨ иÑĤ", + "ÑĨи ÑĤ", + "ĠÐĴ Ñģ", + "Ġ å¢", + "Ġå ¢", + "æµ ª", + "а ÑĢÑĸ", + "аÑĢ Ñĸ", + "Ġsür ekli", + "Ġ stra", + "Ġs tra", + "Ġst ra", + "Ġstr a", + "Ġb ize", + "Ġbi ze", + "Ġbiz e", + "Ġtes pit", + "Ġch âu", + "ĠاÙĦ ض", + "à¹īà¸Ń à¸ĩà¸ģ", + "à¹īà¸Ńà¸ĩ à¸ģ", + "Ġ èĢħ", + "ĠèĢ ħ", + "ĠH á»", + "Ġкажд Ñĭй", + "а Ñİ", + "à¸Ļ à¸Ħร", + "à¸Ļà¸Ħ ร", + "à¸Ĺ ะ", + "ĠÙħر اجع", + "ĠÙħراج ع", + "Ġha line", + "Ġhal ine", + "δ οÏĤ", + "δο ÏĤ", + "e ÄŁi", + "ĠÙħÛĮ زاÙĨ", + "Ġ ÙĩÙĦ", + "ĠÙĩ ÙĦ", + "Ġb olest", + "Ġbo lest", + "Ġbol est", + "Ġ åľŁ", + "Ġåľ Ł", + "Ġu zman", + "Ġuz man", + "ÑĢ ог", + "ÑĢо г", + "確 èªį", + "ĠÑĢÑĸз ниÑħ", + "Ġза кÑĢÑĭ", + "Ġзак ÑĢÑĭ", + "лÑĥ ги", + "лÑĥг и", + "ĠÑģо веÑĤ", + "ĠÑģов еÑĤ", + "id di", + "idd i", + "åIJĪ ãĤıãģĽ", + "Ġ åIJī", + "ĠåIJ ī", + "Ġk iá»ĩm", + "ë² ½", + "ĠÙħع ÙħÙĪÙĦ", + "ĠопÑĢед елÑı", + "ĠопÑĢедел Ñı", + "Ġmik tar", + "Ġ ìŀIJëıĻ", + "ĠìŀIJ ëıĻ", + "Ġil aç", + "л оÑĩ", + "ло Ñĩ", + "Ġy ılı", + "Ġyıl ı", + "Ġyı lı", + "Ġ ÄIJá»ĥ", + "ĠÄIJ á»ĥ", + "ĠÄIJá» ĥ", + "Ġab ych", + "Ġaby ch", + "Ġrek lam", + "Ġrekl am", + "Ġv ypad", + "Ġvy pad", + "Ġvyp ad", + "Ġна ÑĥÑĩ", + "à¹Ģà¸Ħร าะห", + "Ġ ä»ĸ", + "p ovÄĽ", + "po vÄĽ", + "ï¼Į 让", + "ç¥ Ŀ", + "ا ÙĪÙĨد", + "اÙĪ ÙĨد", + "اÙĪÙĨ د", + "Ġ: |:", + "Ġ:| :", + "Ġre ž", + "Ġvyb av", + "ìľ ¤", + "æŃ ´", + "огÑĢаÑĦ иÑı", + "ez peÄį", + "ezpe Äį", + "± n", + "о вÑĥ", + "ов Ñĥ", + "Ġд Ñĥма", + "ĠдÑĥ ма", + "ĠдÑĥм а", + "Ġjedn odu", + "Ġjedno du", + "о Ñīи", + "оÑī и", + "ĠÙħ شتر", + "ĠÙħØ´ تر", + "è¦ ³", + "Ġyok tur", + "Ġyoktu r", + "Ġob Äįan", + "ĠTr ần", + "ım sız", + "α ιν", + "αι ν", + " Į", + "ر ÛĮاÙĨ", + "رÛĮ اÙĨ", + "ĠJe ho", + "ĠJeh o", + "ĠاÙĦ Ø¢ÙĨ", + "ĠاÙĦØ¢ ÙĨ", + "ÑģÑĮ ким", + "ÑģÑĮк им", + "Ġk dyby", + "Ġkdy by", + "ĠbaÅŁ ına", + "Ġprez ident", + "Ġ Viá»ĩc", + "ĠV iá»ĩc", + "åħ ¼", + "à¥Į à¤ľ", + "Ġ매매 ê°Ģ", + "模 å¼ı", + "nÃŃ mu", + "nÃŃm u", + "Ġ åĤ", + "Ġå Ĥ", + "Ġ deniz", + "Ġd eniz", + "Ġden iz", + "ĺ èĽĽ", + "Ġ èĢĮ", + "ĠèĢ Į", + "ÙĪ ØŃ", + "Ñĭ п", + "Ġâĸ ¼", + "n ul", + "nu l", + "ĠS ev", + "ĠSe v", + "Ġ ruh", + "Ġr uh", + "Ġru h", + "Ġh ạ", + "Ġ Ñıн", + "ĠÑı н", + "Ġ기 본", + "Ġv elik", + "Ġve lik", + "Ġvel ik", + "ĠT ân", + "и лиÑģÑĮ", + "ил иÑģÑĮ", + "или ÑģÑĮ", + "ĠÑħ ÑĢа", + "åĤ ·", + "Ġà¤Ĩ à¤ı", + "Ġn ynÃŃ", + "Ġny nÃŃ", + "» ØĮ", + "ĠØ´ ع", + "æĿ Ĥ", + "Ġм ÑĭÑĪ", + "ĠмÑĭ ÑĪ", + "ãģĻ ãģIJ", + "Ġ ê³µì§Ģ", + "Ġê³µ ì§Ģ", + "Ġt á»Ļc", + "ãĥ¼ ãĥĩ", + "ãĥ¼ãĥ ĩ", + "ĠÑģ ело", + "ĠÑģел о", + "Ġا عÙĦاÙħ", + "Ġاع ÙĦاÙħ", + "ĠÅŁ imdi", + "ĠÅŁi mdi", + "ĠاÙĦÙħ ÙĬÙĦاد", + "ĠاÙĨÙĤÙĦ اب", + "Ġشخص ÙĬØ©", + "ĠK ür", + "ĠKü r", + "Ġ вÑĸÑĤ", + "Ġв ÑĸÑĤ", + "ĠвÑĸ ÑĤ", + "ĠاÙĨد ازÙĩ", + "Ġм оÑī", + "Ġмо Ñī", + "t ernet", + "ter net", + "tern et", + "ĠαÏħ ÏĦή", + "ĠÑĢоз ÑĤа", + "Ġв ив", + "Ġви в", + "l ej", + "le j", + "Ġ 表", + "Ġè¡ ¨", + "ÏĥÏĥ ÏĮÏĦε", + "ĠÙĬ ست", + "ĠÙĬس ت", + "Ġм аÑĪ", + "Ġма ÑĪ", + "åĿ ļ", + "Ġком наÑĤ", + "า หล", + "าห ล", + "Ġ çĻ¼", + "ĠçĻ ¼", + "ĠاÙĪÙĦ ÛĮÙĨ", + "è¿IJ åĬ¨", + "Ġп ÑĥнкÑĤ", + "ĠпÑĥнк ÑĤ", + "ĠоÑģоб енно", + "Ġм ам", + "Ġма м", + "ç» ©", + "￣￣￣￣ ￣￣￣￣", + "алÑĮ нÑĭм", + "ĠЦ енÑĤ", + "ĠЦе нÑĤ", + "- Ðľ", + "ç· Ĵ", + "Ġह à¤ľ", + "о ÑĤÑĭ", + "оÑĤ Ñĭ", + "ãĤ¤ ãĥī", + "د ارة", + "دار Ø©", + "دا رة", + "ãģ¨ ãģĹãģŁ", + "ั à¸ŀย", + "ัà¸ŀ ย", + "Ġot áz", + "Ġдопом огоÑİ", + "à¹ģละ à¸ģาร", + "ĠÑĤÑĢанÑģп оÑĢÑĤ", + "ĠÑĤÑĢанÑģпоÑĢ ÑĤ", + "ĠÙĤر Ø¢ÙĨ", + "Ġ 第ä¸Ģ", + "Ġ第 ä¸Ģ", + "Ġм ил", + "Ġми л", + "Ġng ôi", + "Ġl inh", + "Ġli nh", + "Ġlin h", + "ĠNh ân", + "ÑĮогод нÑĸ", + "æĢ Ģ", + "à¹ī าส", + "à¹īา ส", + ".:: .::", + "Ġbi rey", + "Ġbir ey", + "æĢĿ ãģĦ", + "à¹ĥ à¸Ķ", + "веÑĢ д", + "ве ÑĢд", + "Ġlistop adu", + "Ġ à¹ģม", + "Ġà¹ģ ม", + "г е", + "Ġк ÑĥÑħ", + "ĠкÑĥ Ñħ", + "Ġ íĻľëıĻ", + "ĠíĻľ ëıĻ", + "Ġ èİ", + "Ġè İ", + "ĠÐIJ лÑĮ", + "ĠÐIJл ÑĮ", + "íļĮ ìĿĺ", + "ĠÏĢ Ïģα", + "Ġv ui", + "Ġvu i", + "ว ร", + "à¤Ĥ व", + "Ġg ece", + "Ġge ce", + "Ġgec e", + "ç« ¶", + "Ġk uv", + "Ġku v", + "м еÑī", + "ме Ñī", + "ĠÑĤеп еÑĢÑĮ", + "ĠÑĤепеÑĢ ÑĮ", + "à¸Ń à¹Ģม", + "åĪ¶ 度", + "ĠÑĤ ÑĢеÑĤ", + "ĠÑĤÑĢ еÑĤ", + "ĠÙĨ تÛĮجÙĩ", + "ä»ĺ ãģį", + "Ġ ï¾ŀ", + "Ġï¾ ŀ", + "Ġ Ñĩого", + "ĠÑĩ ого", + "âĢIJ -", + "ĠÅĻÃŃ ká", + "à¸ĩ à¹ĥà¸Ļ", + "ĠnÄĽkol ika", + "ĠnÄĽkolik a", + "Ġb una", + "Ġbu na", + "Ġbun a", + "ï¼Į åŃĺäºİ", + "ล ำ", + "ãĢģ ãģ¨", + "Ġn á»Ļp", + "ĠاÙĦ جÙĨ", + "ĠاÙĦج ÙĨ", + "ĠÎł αν", + "Ġγα ν", + "Ðŀ Ðł", + "Ġدخ تر", + "Ġúda je", + "Ġúdaj e", + "Ġ å¼ł", + "Ġå¼ ł", + "r etim", + "re tim", + "ret im", + "s ınız", + "sın ız", + "ĠÙĩÙĨ اÙĥ", + "ĠÙĩÙĨا Ùĥ", + "ÐĽ Ь", + "æķ ¬", + "Îij Îľ", + "页éĿ¢ åŃĺæ¡£å¤ĩ份", + "ìĤ¬ ê°Ģ", + "Ġt rest", + "Ġtr est", + "Ġtre st", + "Ġtres t", + "v iÄį", + "vi Äį", + "ĠÙ¾ ÛĮدا", + "ĠÙ¾ÛĮ دا", + "ζ ε", + "ĠÐŁ ов", + "ĠÐŁÐ¾ в", + "ÙĦÙħ ات", + "o rex", + "or ex", + "ore x", + "è¬ Ľ", + "ĠвÑĸдк ÑĢиÑĤ", + "м аÑħ", + "ма Ñħ", + "ĠÑĩиÑģ ле", + "ت بار", + "تب ار", + "ĠÎŃ Îº", + "ìķĦ íĮĮíĬ¸", + "r avel", + "ra vel", + "rav el", + "α Ïĥία", + "αÏĥ ία", + "a Äį", + "Ġ à¤ıन", + "Ġà¤ı न", + "ละ à¹Ģà¸Ń", + "Ġз алеж", + "Ġза леж", + "Ġзал еж", + "Ġ æģ", + "Ġæ ģ", + "Ġмож еÑĤе", + "ĠможеÑĤ е", + "Ġможе ÑĤе", + "Ġпо вед", + "Ġпов ед", + "ĠبسÛĮ ارÛĮ", + "ĠبسÛĮار ÛĮ", + "Ġ poÄįet", + "Ġpo Äįet", + "ĠpoÄį et", + "ر بع", + "رب ع", + "e lez", + "el ez", + "ele z", + "ا ÙĪرÛĮ", + "اÙĪ رÛĮ", + "اÙĪر ÛĮ", + "Ġba ÅŁk", + "ĠbaÅŁ k", + "å° Ĥ", + "Ġhal de", + "æĭ Ł", + "S au", + "Sa u", + "о ÑĨи", + "ี à¸Ħ", + "Ġв лади", + "Ġвла ди", + "Ġвлад и", + "ÙIJ Ùħ", + "k ud", + "ku d", + "à¥Ĥ ब", + "å§Ķ åĵ¡", + "า รà¸ĵ", + "าร à¸ĵ", + "o rů", + "or ů", + "Ġ ÙħÙĪÙĦ", + "ĠÙħ ÙĪÙĦ", + "ĠÙħÙĪ ÙĦ", + "Ġ byt", + "Ġb yt", + "Ġby t", + "ĠpÅĻÃŃslu Å¡", + "èĭ± è¯Ń", + "éĢ IJ", + "Ġvel ké", + "Ġvelk é", + "Ġà¤Ĩ श", + "Ġph iếu", + "Ġphi ếu", + "à¹ĥ ส", + "Ġاس Ù¾", + "Ġzbo žÃŃ", + "ãģĵ ãĤĵãģª", + "ãģĵãĤĵ ãģª", + "ĠÙĪÙĩ ÙĬ", + "ĠÑĥÑĩа ÑģÑĤÑĮ", + "ĠÑĥÑĩаÑģÑĤ ÑĮ", + "ĠÑĥÑĩаÑģ ÑĤÑĮ", + "à¸Īำ à¸Ļวà¸Ļ", + "Ġتر Ú©", + "åįģ åĪĨ", + "ÎŁ Îł", + "ÎŁÎ ł", + "κ ολ", + "κο λ", + "Ġf akat", + "Ġfa kat", + "Ġfak at", + "Ġch á»Ĺ", + "éĢļ çŁ¥", + "Ġв одÑĥ", + "Ġво дÑĥ", + "Ġвод Ñĥ", + "ĠÎļα ÏĦηγοÏģία", + "aca ģını", + "acaÄŁ ını", + "л ого", + "ло го", + "ĠmÃ¼ÅŁ ter", + "Ġj ednou", + "Ġjed nou", + "Ġjedn ou", + "Ġjedno u", + "Ġб аÑĢ", + "Ġба ÑĢ", + "i dae", + "id ae", + "ida e", + "d ım", + "dı m", + "è¾ ²", + "åIJ ¹", + "ëIJ ©ëĭĪëĭ¤", + "ĠÅŁekl inde", + "e ným", + "en ým", + "ený m", + "ëĵ ¯", + "i tÄĽ", + "it ÄĽ", + "Ġк олÑĮ", + "Ġкол ÑĮ", + "Ġко лÑĮ", + "ëĮĢ íķĻ", + "ĠÃĸ r", + "Ġ ê½", + "Ġê ½", + "ĠUB ND", + "Ġh ik", + "Ġhi k", + "ãĤī ãģĹãģĦ", + "ãĤīãģĹ ãģĦ", + "åĩº åĵģ", + "C ó", + "Ġ Îŀ", + "ĠÎ ŀ", + "Ġ åħ¥", + "Ġåħ ¥", + "ĠNg uyên", + "ĠÙ¾ ÙĪØ´", + "лÑı ÑĶ", + "ĠØ¢ غاز", + "Ġnhiá»ħ m", + "d ivid", + "div id", + "di vid", + "ç ĺ", + "ا ÙģتÙĩ", + "اÙģ تÙĩ", + "اÙģت Ùĩ", + "а меÑĤ", + "ам еÑĤ", + "нÑĥ лÑģÑı", + "нÑĥл ÑģÑı", + "ä¼ģ æ¥Ń", + "ÑĢоб ÑĸÑĤ", + "dü ÄŁÃ¼", + "dÃ¼ÄŁ ü", + "Ġ کاÙĨ", + "ĠÚ© اÙĨ", + "à¸Ń à¸ĩà¸Ĺ", + "à¸Ńà¸ĩ à¸Ĺ", + "й н", + "Ġpoh yb", + "Ġpohy b", + "Ġb iá»ĩn", + "Ġbi á»ĩn", + "Ġ ï¼Ľ", + "Ġï¼ Ľ", + "Ùħ ÙĨد", + "ÙħÙĨ د", + "Ġà¤Ĩ à¤ķ", + "ĠÄįlov ÄĽk", + "ĠÄįlovÄĽ k", + "ãĤĴè¦ĭ ãĤĭ", + "ë· °", + "ĠÑĥв елиÑĩ", + "ĠÑĥвели Ñĩ", + "Ġ ê´", + "Ġê ´", + "Ġyan lÄ±ÅŁ", + "éº ¦", + "Ġå¤ĸ éĥ¨", + "ÏĦ οÏħÏģγ", + "ÏĦοÏħ Ïģγ", + "Ġп ÑĢоÑĩ", + "ĠпÑĢ оÑĩ", + "ĠпÑĢо Ñĩ", + "ĠÑĢÑĥ ковод", + "çĽ ¤", + "èľ ĺèĽĽ", + "å®ī è£ħ", + "ĠУ кÑĢа", + "Ġtart Ä±ÅŁ", + "ÑĤ аж", + "ÑĤа ж", + "ĠoluÅŁ an", + "ĠRus ya", + "Ġк лÑĥб", + "Ġкл Ñĥб", + "ĠклÑĥ б", + "ĠÎł Ρ", + "alı dır", + "k ın", + "kı n", + "ĠзмÑĸ ни", + "ĠзмÑĸн и", + "leÅŁ ik", + "еÑĢ п", + "об Ñīе", + "обÑī е", + "Ġqu áºŃn", + "Ġप श", + "ãĤĴ åıĹ", + "à¹Ģล à¸Ĥ", + "ا ضر", + "اض ر", + "Ġuž ivatel", + "λ ία", + "λί α", + "ĠÐĴ они", + "ĠÐĴо ни", + "ุà¸Ķ à¸Ĺ", + "ĠV Ãł", + "ãĥ³ ãĤ¿", + ") ëĬĶ", + "æ¸ Ľ", + "Ġ μÏĢ", + "Ġμ ÏĢ", + "å· §", + "ĠÑĪ кол", + "ĠÑĪк ол", + "Ġì²ĺ ìĿĮ", + "ัà¸ģ à¸Ķ", + "æ® Ĭ", + "Ġnh á»Ŀ", + "ĠοÏĢο ία", + "à¹ģ à¸Ļว", + "à¹ģà¸Ļ ว", + "меÑĢик ан", + "nÃŃ ka", + "nÃŃk a", + "Ġíĺ¸ íħĶ", + "سب ب", + "à¸ĩ ม", + "ìŀĪ ëĬĶ", + "غ Ø·", + "Ùı ÙĦ", + "¹ æŀľ", + "Ñĩ Ñĸв", + "ÑĩÑĸ в", + "ÑĪ аÑı", + "ÑĪа Ñı", + "ĠØ¥ ÙĦا", + "ĠØ¥ÙĦ ا", + "خص ÙĪص", + "ll ll", + "ĠÑį ÑĤим", + "ĠÑįÑĤ им", + "ĠÑįÑĤи м", + "Ġz vÃŃ", + "Ġzv ÃŃ", + "Ġqu án", + "Ġquá n", + "à¸Ļ à¸ģ", + "Ġп олов", + "Ġпо лов", + "Ġпол ов", + "Ġ æ·±", + "Ġæ· ±", + "Ġm iá»ģn", + "Ġmi á»ģn", + "人 éĸĵ", + "Ġз им", + "Ġmey dana", + "е ÑĦ", + "Ġb á»ģn", + "Ġbá»ģ n", + "ز ÙĬد", + "زÙĬ د", + "ĠÐł еÑģп", + "ĠÐłÐµ Ñģп", + "ÎĻ ΣΤ", + "ÎĻΣ Τ", + "Ġ æĶ¶", + "ĠæĶ ¶", + "r aya", + "ra ya", + "ray a", + "ĠتÙĪ اÙĨد", + "ĠتÙĪاÙĨ د", + "Ġ ister", + "Ġis ter", + "Ġi ster", + "Ġist er", + "Ġ ë°Ģ", + "Ġë° Ģ", + "ĠмеÑħ ани", + "Ġ à¸ķำ", + "Ġà¸ķ ำ", + "Ġд ека", + "Ġде ка", + "Ġдек а", + "à¤Ĥ à¤Ĺल", + "à¤Ĥà¤Ĺ ल", + "ãĥ¼ ãĤ«ãĥ¼", + "Ġnep ÅĻÃŃ", + "ĠnepÅĻ ÃŃ", + "ĠÑģ ÑĩиÑĤ", + "ĠÑģÑĩ иÑĤ", + "Ġο μά", + "Ġç ift", + "ب ÛĮÙĨÛĮ", + "بÛĮ ÙĨÛĮ", + "بÛĮÙĨ ÛĮ", + "m eleri", + "me leri", + "mel eri", + "meler i", + "Ġвоз дейÑģÑĤв", + "d ou", + "do u", + "ìĥģ ìĿĦ", + "ĠÐĴ олод", + "ĠÐĴо лод", + "ĠÐĴол од", + "ε β", + "ÐĿ Ðĺ", + "Ñı к", + "Ïį ÏĦε", + "з ано", + "за но", + "len ir", + "c elik", + "ce lik", + "cel ik", + "ĠÑģоÑģÑĤав лÑıеÑĤ", + "ι αÏĤ", + "ια ÏĤ", + "ĠÐĵ оÑĢ", + "ä¹ĭ ä¸Ģ", + "Ïĥμ ÏĮÏĤ", + "ÏĥμÏĮ ÏĤ", + "ãģ« éĸ¢", + "Ġв Ñĩ", + "Ġп оÑģк", + "Ġпо Ñģк", + "ĠпоÑģ к", + "è¼ ¯", + "à¥Ģ श", + "ĠØ¢ ثار", + "à¸Ħวาม ร", + "Ġ един", + "Ġе дин", + "Ġеди н", + "íħ IJ", + "å¹³ æĪIJ", + "ĠkiÅŁ inin", + "ĠkiÅŁi nin", + "ãĤ² ãĥ¼ãĥł", + "à¥įत व", + "Ġkapsam ında", + "Ġak tar", + "Ġakt ar", + "Ġtr ừ", + "Ġر شد", + "Ġна каз", + "Ġнак аз", + "ر ÙĬÙĦ", + "رÙĬ ÙĦ", + "à¸Ń à¸Ħ", + "Ġگذ شتÙĩ", + "Ġ æ°ij", + "Ġæ° ij", + "ĠÑĤеб Ñı", + "s por", + "sp or", + "spo r", + "Ñİ ÑīаÑı", + "ÑİÑī аÑı", + "окÑĢем а", + "в ад", + "ва д", + "ĠCh úng", + "ĠزÛĮ ادÛĮ", + "ĠزÛĮاد ÛĮ", + "е ного", + "ен ого", + "ено го", + "ĠÚ© سÛĮ", + "à ŀ", + "Ġad ına", + "Ġadı na", + "Ñĥ да", + "Ñĥд а", + "Ñĸ ÑĶ", + "аÑĤ ели", + "аÑĤе ли", + "Ġnáv Å¡tÄĽ", + "çĶ¨ äºİ", + "ĠپرÙĪ ÙĨدÙĩ", + "ĠÙĨ بÙĪد", + "ĠÙĨب ÙĪد", + "س ات", + "ìĹ ĺ", + "ãģ£ ãģ¦ãĤĤ", + "ãģ£ãģ¦ ãĤĤ", + "Ġ çī©", + "Ġçī ©", + "Ðĺ з", + "åĪ ·", + "Ġ íľ´", + "Ġí ľ´", + "ĠоÑģоб лив", + "ãģĹ ãģ¾ãģ£ãģŁ", + "ãģĹãģ¾ ãģ£ãģŁ", + "a ydı", + "ay dı", + "ayd ı", + "åĩº çļĦ", + "ĠìķĦëĭĪ ëĿ¼", + "ıs ını", + "à¸Ĺาà¸ĩ à¸ģาร", + "Ġzv uky", + "Ġ 管", + "Ġç® ¡", + "âĸĭ âĸĭ", + "ĠÑĤ елеÑĦ", + "ĠÑĤел еÑĦ", + "Ġн елÑĮзÑı", + "ãĥ« ãģ®", + "Ïĥ ÏĢ", + "Ġ ç³", + "Ġç ³", + "åł ¡", + "ÑĨ Ñĥз", + "ÑĨÑĥ з", + "رÙĬ ÙĤØ©", + "رÙĬÙĤ Ø©", + "à¤¿à¤Ľ ल", + "è² ©", + "ĠУ кÑĢаÑĹн", + "ĠУкÑĢаÑĹ Ð½", + "ĠÙħسئ ÙĪÙĦ", + "Ġо ÑĩÑĸ", + "ĠоÑĩ Ñĸ", + "æľĢ å¾Į", + "Ġзна Ñİ", + "Ġзн аÑİ", + "à¹ī à¸Ļà¸Ĺ", + "à¹īà¸Ļ à¸Ĺ", + "ĠÑĤ еÑĢап", + "ĠÑĤеÑĢ ап", + "ĠÑĤе ÑĢап", + "ĠÑģп ок", + "ĠØ®ÙĪد رÙĪ", + "éĺ »", + "Ġdüz ey", + "ä¸Ģ åĢĭ", + "ا ÙģÙĩ", + "اÙģ Ùĩ", + "à¤Ĥ य", + "èµĦ 产", + "继 ç»Ń", + "ĠÑģ лаб", + "ĠÑģл аб", + "æĦı æĢĿ", + "ĠíĻĺ ìĤ°", + "ĠÑı ÑĢ", + "Ġd ůvod", + "Ġdů vod", + "çĿ Ľ", + "تÛĮ ب", + "ĠÙĪ ÛĮر", + "ĠÙĪÛĮ ر", + "ĠÙĩ زÛĮÙĨÙĩ", + "Ġben zer", + "Ġbenz er", + "ĠÙħ ادÙĩ", + "ĠÙħا دÙĩ", + "ĠÙħاد Ùĩ", + "à¥Į à¤ķ", + "Ġ à¹Ģà¸ķ", + "Ġà¹Ģ à¸ķ", + "Ġà¹Ģภķ", + "ãĤĪ ãģı", + "ид енÑĤ", + "èĭ± èªŀ", + "е ÑĢÑĭ", + "еÑĢ Ñĭ", + "Ġê¸Ī ìķ¡", + "Ġ ãĥ¼", + "Ġãĥ ¼", + "Ġ ëį¤íĶĦ", + "Ġëį ¤íĶĦ", + "ÑĢ аÑĤÑĮ", + "ÑĢа ÑĤÑĮ", + "ÑĢаÑĤ ÑĮ", + "Ġ åįķ", + "Ġåį ķ", + "à¹Ģà¸ī à¸ŀาะ", + "Ġ æĶ¿", + "ĠæĶ ¿", + "Ġà¤Ĩ म", + "Ġз ни", + "Ġзн и", + "Ġ ëĿ¼ìĿ´", + "ĠëĿ¼ ìĿ´", + "æİ Į", + "çIJĨ çĶ±", + "Ġ اغ", + "Ġا غ", + "ĠØ§Ø º", + "ĠÑģ иг", + "ĠÑģи г", + "Ġе ÑĦекÑĤив", + "ĠÐŁ ÑĢед", + "ĠÐŁÑĢ ед", + "ãĥ´ ãĤ£", + "Ġви ко", + "Ġвик о", + "Ġt vrd", + "Ġtv rd", + "ëĤ´ 기", + "ãĥĭ ãĤ¢", + "ĠÙħشاÙĩ دÙĩ", + "Ġस à¤ļ", + "l Ã¼ÄŁ", + "lü ÄŁ", + "è¯ģ åĪ¸", + "Ġs iêu", + "Ġsi êu", + "Ġ оÑĤв", + "ĠоÑĤ в", + "Ġvyt voÅĻ", + "ĠØŃ ÙħÙĦ", + "ĠØŃÙħ ÙĦ", + "ĠÑĦ ÑĢан", + "à¹ī à¸Ķ", + "åĮ» éĻ¢", + "Ġв лад", + "Ġвла д", + "غ ÙĦ", + "建 ç«ĭ", + "os loven", + "osl oven", + "и лаÑģÑĮ", + "ила ÑģÑĮ", + "عÙĦ ÙĪÙħات", + "عÙĦÙĪÙħ ات", + "Ġ ترÛĮÙĨ", + "Ġتر ÛĮÙĨ", + "ÎŃ Ïģει", + "ÎŃÏģ ει", + "Ġb áºŃt", + "ĠÙħØ´ Ú©", + "Ġر ئÙĬس", + "Ġرئ ÙĬس", + "Ġìłľ ìŀij", + "γ η", + "Ġн Ñĸк", + "ĠнÑĸ к", + "Ġ구 ìĦ±", + "ĠÄij en", + "Ġà¤ļ र", + "Ġgeç miÅŁ", + "äºĨ 解", + "Ġл еÑģ", + "Ġqu anh", + "Ġqua nh", + "Ġquan h", + "ãĢĮ æĪij", + "ĠNÄĽkter á", + "ëŀ į", + "Ãħ Ÿ", + "à¤Ĥ दर", + "à¤Ĥद र", + "ìķĦ ìĿ´", + "å°ij ãģĹ", + "ĠØ´Ùĩر ÛĮ", + "ĠØ´Ùĩ رÛĮ", + "κ ÏĦη", + "ĠâĹ Ħ", + "Ġ Ùĥس", + "ĠÙĥ س", + "è· Į", + "à ı", + "å·¥ åħ·", + "åĬ ĥ", + "p om", + "po m", + "ĠнавÑĩ аннÑı", + "Ġ رج", + "Ġر ج", + "ÑĢ ÑĥеÑĤÑģÑı", + "ÑĢÑĥ еÑĤÑģÑı", + "ÑĢÑĥеÑĤ ÑģÑı", + "Ġν ÎŃ", + "ÛĮÙĨ Ú©", + "à¹Ĥ à¸ĭ", + "åĭ ¤", + "ãģĹãģ¾ ãģĨ", + "ĠÑģ оглаÑģ", + "ĠÑģог лаÑģ", + "éĩij èŀį", + "ç »¿", + "ç» ¿", + "ĠС ан", + "æķ µ", + "Ġпо вÑĸÑĤ", + "Ġпов ÑĸÑĤ", + "Ġпом оÑīи", + "ĠпомоÑī и", + "ãĥ¡ ãĥªãĤ«", + "ãĤ· ãĤ¢", + "ĠÏĢ ÏģοÏĤ", + "ĠÏĢÏģο ÏĤ", + "èĪª 空", + "ĠваÑĢи анÑĤ", + "ĠваÑĢиан ÑĤ", + "Ġyalnız ca", + "ç³» çµ±", + "ĠÙģ ÙĪر", + "ĠÙģÙĪ ر", + "оÑĩ ной", + "оÑĩно й", + "à¹Ģว à¸Ńร", + "ĠкÑĥлÑĮ ÑĤÑĥÑĢ", + "ĠкÑĥлÑĮÑĤÑĥ ÑĢ", + "Ïĩ ι", + "ÄįÃŃ ta", + " ĵ", + "人 ãģĮ", + "κ οÏį", + "κο Ïį", + "ĠÑĢе ÑĶ", + "Ġв ÑģÑİ", + "ĠвÑģ Ñİ", + "éº Ĺ", + "Ġز ÙĨاÙĨ", + "ĠزÙĨ اÙĨ", + "çĭ Ĥ", + "Ġ หม", + "Ġห ม", + "Ġx úc", + "åħ Ĵ", + "ÄŁ inin", + "ÄŁi nin", + "ÄŁini n", + "ÄŁin in", + "åĸľ 欢", + "ĠÑģÑĤ ад", + "ĠÑģÑĤа д", + "iy esi", + "iye si", + "ìļ ±", + "è Ŀ", + "Ġ kus", + "Ġk us", + "Ġku s", + "ÏĦ ολ", + "ÏĦο λ", + "г Ñĸв", + "Ñĸ ли", + "Ñĸл и", + "ãģĦ ãĤĦ", + "é© Ĺ", + "ont rol", + "ا ÙĦÙĥ", + "اÙĦ Ùĥ", + "к овиÑħ", + "ко виÑħ", + "ков иÑħ", + "ĠÑģÑĤ ало", + "ĠÑģÑĤал о", + "ĠÑģÑĤа ло", + "ĠÎł αÏģα", + "Ġγα Ïģα", + "ĠγαÏģ α", + "Ġ chy", + "Ġc hy", + "Ġch y", + "Ġcih az", + "ĩ ´", + "ìŀ¥ ìĿ´", + "a ceae", + "ace ae", + "acea e", + "Ø´ Ùĩر", + "Ø´Ùĩ ر", + "ил аннÑı", + "çļĦ å°ı", + "Ġth ụ", + "Ġthá» ¥", + "ÙĪ ÙĨت", + "ÙĪÙĨ ت", + "л оÑĢ", + "ло ÑĢ", + "ãĤĴ æĮģ", + "ĠÎĶ ι", + "Ġ 羣", + "Ġçľ Ł", + "ÐĽ Ðŀ", + "é½ IJ", + "çİ Ħ", + "ا ÙĪÙĩ", + "اÙĪ Ùĩ", + "Ġи нÑĤ", + "Ġин ÑĤ", + "à¥Ģ à¤Łà¤°", + "à¥Ģà¤Ł र", + "Ġ обÑīе", + "Ġоб Ñīе", + "ĠобÑī е", + "Ġдеп ÑĥÑĤ", + "μÎŃν εÏĤ", + "ĠÙĥ ÙĬÙģ", + "ع ÙħÙĦ", + "عÙħ ÙĦ", + "ï¼Į å¦Ĥæŀľ", + "ï¼Įå¦Ĥ æŀľ", + "Ġин ÑĦек", + "i tele", + "it ele", + "ite le", + "itel e", + "Ġ ãĢĢãĢĢĠãĢĢ", + "ĠãĢĢ ãĢĢĠãĢĢ", + "ĠãĢĢãĢĢ ĠãĢĢ", + "ãĤ¤ ãĥ³ãĥĪ", + "ãĤ¤ãĥ³ ãĥĪ", + "л ÑĸÑĤ", + "лÑĸ ÑĤ", + "Ġ ÑģÑİ", + "ĠÑģ Ñİ", + "Ġz ase", + "Ġza se", + "Ġzas e", + "d ech", + "de ch", + "dec h", + "е ко", + "ек о", + "è® ĵ", + "åı ¬", + "з ем", + "Îł Îij", + "Ġvz du", + "า à¸Īาà¸ģ", + "าà¸Ī าà¸ģ", + "ko liv", + "kol iv", + "koli v", + "zk um", + "èģ Ĭ", + "Ġì±Ħ ìļ©", + "๠į", + "Ġ asp", + "Ġa sp", + "Ġas p", + "Û² Û´", + "ìĿ¸ ëį°", + "ĠkarÅŁÄ± laÅŁ", + "ï¼Į åı¯ä»¥", + "ï¼Įåı¯ 以", + "Ġà¤ĩन à¤ķ", + "Ġ ìĬ¤íĥĢ", + "ĠìĬ¤ íĥĢ", + "éĥ¨ å±ĭ", + "åĪ¶ ä½ľ", + "ãĥ¼ ãĤ·ãĥ§ãĥ³", + "ον ÏĦαÏĤ", + "γ ο", + "Ġìŀij ìĦ±", + "èij £", + "oz ÅĻejmÄĽ", + "ĠÑĢезÑĥлÑĮÑĤаÑĤ е", + "ĠÑĢезÑĥлÑĮÑĤ аÑĤе", + "ĠIns ecta", + "Ġs kon", + "Ġsk on", + "o tu", + "ot u", + "Ġp ÄĽt", + "ĠpÄĽ t", + "Ñģ ÑĮого", + "ÑģÑĮ ого", + "ĠÄ°s lam", + "Ġl á»ħ", + "Ġlá» ħ", + "ä¸Ń åľĭ", + "ĠÐľÑĸ нÑĸÑģÑĤ", + "åIJĪ åIJĮ", + "asy onu", + "asyon u", + "ож еÑĤ", + "оже ÑĤ", + "èĩª åĬ¨", + "ÑģÑĮ коÑİ", + "ÑģÑĮк оÑİ", + "ÑģÑĮко Ñİ", + "ĠkiÅŁ isel", + "ĠkiÅŁi sel", + "ÏĦ ικοÏį", + "ÏĦικ οÏį", + "ÏĦι κοÏį", + "ÏĦικο Ïį", + "Ġ ÑĥÑĩаÑģ", + "ĠÑĥ ÑĩаÑģ", + "ĠÑĥÑĩ аÑģ", + "ĠÑĥÑĩа Ñģ", + "ıl mÄ±ÅŁtır", + "ılmÄ±ÅŁ tır", + "ĠÑı ке", + "ĠÑıк е", + "Ñī инÑĭ", + "Ñīи нÑĭ", + "Ñīин Ñĭ", + "м аÑĢ", + "ма ÑĢ", + "Ġso udu", + "Ġsou du", + "Ġsoud u", + "Âł Я", + "Ġд ÑĢÑĥ", + "ĠдÑĢ Ñĥ", + "ãģ¡ ãĤĩ", + "à¥ĭ à¥ľ", + "ï¾ ij", + "Ġ ÏĦÏĮ", + "ĠÏĦ ÏĮ", + "Ġ ضر", + "Ġض ر", + "l áš", + "lá Å¡", + "Ġд Ñĸв", + "ĠдÑĸ в", + "Ġج دÙĬد", + "Ġجد ÙĬد", + "Ġнеб олÑĮÑĪ", + "ĠнеболÑĮ ÑĪ", + "éģ Ń", + "ç» į", + "ĠKur ulu", + "ĠKurul u", + "ÑģÑĤÑĢ ÑĥменÑĤ", + "ÑģÑĤÑĢÑĥ менÑĤ", + "è¿Ļ æĺ¯", + "ìĻ Ķëĭ¤", + "ìĻĶ ëĭ¤", + "м елÑĮ", + "ме лÑĮ", + "Ġ ä¼Ĭ", + "ủ ng", + "ĠзавиÑģим оÑģÑĤи", + "ëį ¤íĶĦ", + "çĩ ĥ", + "è¿ĩ åİ»", + "ĠзаÑģÑĤоÑģ ÑĥваннÑı", + "Ġداخ ÙĦÛĮ", + "ĠداخÙĦ ÛĮ", + "Ñī Ñij", + "ĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂł", + "ĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂł", + "ïº ®", + "ĠاÙĦÙħ ÙħÙĦÙĥØ©", + "s ında", + "sı nda", + "sın da", + "è³ Ģ", + "å± ı", + "Ġ ê¿", + "Ġê ¿", + "Ġdo ktor", + "Ġdok tor", + "ĠÙĤ اب", + "ĠS ist", + "ĠSi st", + "ĠмеÑģÑĤ е", + "ĠÑģоÑħ ÑĢа", + "ا شتÙĩ", + "اش تÙĩ", + "اشت Ùĩ", + "Ġ æľŁ", + "ĠпоÑģк олÑĮкÑĥ", + "Ġp ev", + "Ġpe v", + "ا گر", + "اگ ر", + "Ùħ ز", + "Ġض ÙħÙĨ", + "ॠ©", + "g esi", + "ge si", + "ges i", + "a ÄŁa", + "aÄŁ a", + "解 åĨ³", + "ëħ¸ ì¶ľ", + "Ġl uyá»ĩn", + "Ġкон ÑĤак", + "ĠконÑĤ ак", + "ภº", + "Ġ NgÃły", + "ĠNg Ãły", + "Ġvý stav", + "Ġth uyết", + "اÛĮ ع", + "Ġ: /:", + "Ġ:/ :", + "Ġph ạt", + "ĠÎij ÏĢÏĮ", + "ĠÎijÏĢ ÏĮ", + "Ġ muz", + "Ġm uz", + "Ġmu z", + "Ġ ìĥī", + "Ġìĥ ī", + "ĠÃĩ in", + "Ġکار برد", + "Ġکاربر د", + "ائ د", + "ب اد", + "با د", + "à¥į तम", + "à¥įत म", + "Ġ ëijĺ", + "Ġëij ĺ", + "Ġм оз", + "Ġмо з", + "Å¡ ÃŃch", + "Å¡ÃŃ ch", + "Ġ มห", + "Ġม ห", + "ĠØ¢ س", + "ĠÑģ лиÑĪком", + "èĥ ¡", + "è£ ģ", + "æĪ »", + "ĠìĦ¤ ëªħ", + "Ġo tom", + "Ġot om", + "Ġoto m", + "Ġलà¤Ĺ à¤Ńà¤Ĺ", + "à¸ĩ à¸ģ", + "ا بد", + "اب د", + "à¸Ļ าม", + "à¸Ļา ม", + "èĤ ©", + "Ġشد ÙĨد", + "ĠشدÙĨ د", + "ãģĿãģ® ä»ĸ", + "ad lo", + "ÄĽ n", + "ĠÙĦ Ùĩا", + "ĠÙĦÙĩ ا", + "Ġмин им", + "Ġми ним", + "Ġd ÅĻev", + "ĠTh iên", + "ĠThi ên", + "ëŀ Ļ", + "en gin", + "eng in", + "à¥Ģ मत", + "à¥Ģम त", + "ĠÑĥп оÑĤÑĢеб", + "âĢĮ تر", + "Ġç¥ŀ 马", + "ov ánÃŃm", + "ová nÃŃm", + "ovánÃŃ m", + "ován ÃŃm", + "Ġд ело", + "Ġдел о", + "Ġде ло", + "Ġ ç¼ĸ", + "Ġç¼ ĸ", + "ĠاÙĦ ظ", + "Ġ вий", + "Ġв ий", + "Ġви й", + "а ÑĤом", + "аÑĤ ом", + "аÑĤо м", + "åħ¬ åijĬ", + "ĠÄij em", + "ãĤ· ãĥªãĥ¼ãĤº", + "ä¸ĭ çļĦ", + "l ası", + "la sı", + "las ı", + "ĠвÑĭ боÑĢ", + "ĠвÑĭб оÑĢ", + "ÑĤ оÑĤ", + "ÑĤо ÑĤ", + "ëıĦ ë³Ħ", + "ĠÑĥ ÑģÑĤан", + "ĠÑĥÑģÑĤ ан", + "Ġ íŀĪ", + "Ġíŀ Ī", + "лÑĥ аÑĤа", + "Ġth ác", + "а нием", + "ан ием", + "ани ем", + "ание м", + "ов аÑĤÑĮÑģÑı", + "ова ÑĤÑĮÑģÑı", + "оваÑĤÑĮ ÑģÑı", + "ÑĤ ÑĶ", + "ÐŃ ÑĤо", + "ï¼Į è¦ģ", + "ĠV z", + "ĠØŃ ÙĪزÙĩ", + "ĠØŃÙĪ زÙĩ", + "- к", + "V Ỽi", + "ent ů", + "Ġbulun duÄŁu", + "Ġbulundu ÄŁu", + "ر ÙĪØ·", + "رÙĪ Ø·", + "ĠÑĹ Ð¹", + "Ġçev r", + "Ġ ÅĻed", + "ĠÅĻ ed", + "ĠÅĻe d", + "Ġس اختÙĩ", + "Ġساخت Ùĩ", + "åĬŀ æ³ķ", + "Ġ ÙĤÙĦ", + "ĠÙĤ ÙĦ", + "i ÅŁi", + "iÅŁ i", + "ï¼Ŀ ï¼Ŀ", + "س اس", + "Ġúdaj ů", + "å ¬", + "æį Ł", + "á ct", + "ác t", + "ĠÎij ÏĢ", + "çĪ ·", + "Ġ ÅĻád", + "ĠÅĻ ád", + "Ġl á»Ĺi", + "Ġlá» Ĺi", + "Ġlá»Ĺ i", + "on tent", + "ont ent", + "onte nt", + "ĠÙħ Ø°", + "ol oji", + "olo ji", + "oloj i", + "Ġپرد اخت", + "à¹ī าà¸ŀ", + "à¹īา à¸ŀ", + "ĠдейÑģÑĤв иÑı", + "Ġmnož stvÃŃ", + "ìķĪ ë§Ī", + "åģ ¶", + "Ġ ÃĶng", + "ĠÃĶ ng", + "Ġdak ika", + "hen dis", + "hend is", + "Ġb ác", + "å¯ ¶", + "à¹ĩà¸ģ หà¸į", + "noc enÃŃ", + "ĠErd oÄŁan", + ": ::::::::::::", + ":: :::::::::::", + ":::: :::::::::", + ":::::: :::::::", + ":::::::: :::::", + "::: ::::::::::", + "::::: ::::::::", + "::::::: ::::::", + "::::::::: ::::", + ":::::::::: :::", + "::::::::::: ::", + ":::::::::::: :", + "аÑĤ ем", + "аÑĤе м", + "d ız", + "dı z", + "ĠØ£ÙĬ ضا", + "ĠØ£ÙĬض ا", + "ĠÑįÑĦ ÑĦек", + "ãĤĮ ãģ¦ãģĦãĤĭ", + "ãĤĮãģ¦ ãģĦãĤĭ", + "ĠbaÅŁv uru", + "ĠbaÅŁvur u", + "ά νει", + "άν ει", + "ĠÏĦε λεÏħÏĦα", + "Ġê²Ģ ìĥī", + "ĠÚ©ÙĨ ترÙĦ", + "Ġ शà¤ķ", + "Ġश à¤ķ", + "å¼ ¹", + "Ġol muÅŁtur", + "Ġolm uÅŁtur", + "ĠolmuÅŁ tur", + "Ġв ÑģÑĤÑĥп", + "ĠвÑģÑĤ Ñĥп", + "Ñĩ ила", + "Ñĩи ла", + "Ñĩил а", + "ย า", + "ĠØ£ØŃ Ùħد", + "os lav", + "osl av", + "ĠÑĩа Ñģов", + "ĠÑĩаÑģ ов", + "Ġzá kladnÃŃ", + "Ġzáklad nÃŃ", + "Ġस व", + "д он", + "до н", + "ĠÅĻÃŃj na", + "κ οÏħ", + "κο Ïħ", + "éĢģ æĸĻçĦ¡æĸĻ", + "éĢģæĸĻ çĦ¡æĸĻ", + "Ïĥ ίαÏĤ", + "Ïĥία ÏĤ", + "Ïĥί αÏĤ", + "ãĤ´ ãĥª", + "Ġв иб", + "Ġви б", + "å½ Ĵ", + "Ġназ ад", + "ĠçĻ¾åº¦ æĶ¶å½ķ", + "á» Ĩ", + "Ġkal dı", + "ì¼ ľ", + "Ġ íıŃ", + "Ġíı Ń", + "ĠÑĩи ном", + "ĠÑĩин ом", + "è ¹", + "Ñı л", + "ĠÑĢаз дел", + "ĠÑĢазд ел", + "d G", + "ĠT ento", + "ĠTen to", + "ĠTent o", + "Ñı ÑĤÑĮÑģÑı", + "ÑıÑĤÑĮ ÑģÑı", + "éĿ¢ çļĦ", + "ĠÎķ ÏĢι", + "ĠÎķÏĢ ι", + "ê° ij", + "Ġk èm", + "ни ÑĨÑı", + "ниÑĨ Ñı", + "çĸ «", + "éĽ Ļ", + "ĠÙħر Ùĥز", + "Ġна Ñĥк", + "å¢ Ĺ", + "ĠÑĤе пеÑĢ", + "ĠÑĤеп еÑĢ", + "ा à¤ł", + "ाठł", + "à¹ĩà¸ļ à¹Ħà¸ĭà¸ķ", + "μβ ÏģίοÏħ", + "ĠÑĦÑĸн анÑģов", + "ĠÑĦÑĸнанÑģ ов", + "Ñĸ ÑĶÑİ", + "ÑĸÑĶ Ñİ", + "Ïģ ίζ", + "Ïģί ζ", + "ì¤ Ħ", + "ĠباÙĨ Ú©", + "t ul", + "tu l", + "li ÄŁini", + "liÄŁi ni", + "liÄŁ ini", + "liÄŁin i", + "ĠпозволÑı еÑĤ", + "Ġпозвол ÑıеÑĤ", + "Ïĥ ί", + "Ġ ìĽĥ", + "ĠìĽ ĥ", + "à¹Į à¸Ħ", + "Ġpol ov", + "Ġpo lov", + "Ġpolo v", + "ìŀ¥ ìĿĦ", + "is té", + "ist é", + "ĠС Ð¡Ð¡Ðł", + "á hl", + "áh l", + "è ¥", + "Ġкомп лек", + "à¸Ĥ à¸Ļาà¸Ķ", + "ั ศ", + "ν αν", + "να ν", + "Ġç¥ŀ马 æĶ¶å½ķ", + "ìĭľ ìĺ¤", + "Ġé¦ĸ页 第", + "ĠçĻ¾åº¦ æµģéĩı", + "åij¨ æĶ¶å½ķ", + "Ġh atta", + "Ġhat ta", + "ÐĴ Ñĸд", + "ĠвÑĭ ÑģÑĤÑĥп", + "Ú© ارÛĮ", + "کار ÛĮ", + "کا رÛĮ", + "K hi", + "Kh i", + "Ġì°¾ ìķĦ", + "Ġn ặng", + "éĨ «", + "ĠV Å¡", + "ĠпеÑĢ ен", + "ĠпеÑĢе н", + "л ава", + "ла ва", + "лав а", + "ÙĬ ÙħÙĬ", + "ÙĬÙħ ÙĬ", + "Ġvat andaÅŁ", + "Ġ ιÏĥÏĦο", + "Ġι ÏĥÏĦο", + "Ġ à¸ĵ", + "Ġภĵ", + "स ल", + "г ен", + "ге н", + "Ġ بÙĪر", + "Ġب ÙĪر", + "ĠبÙĪ ر", + "âĢĮدÙĩ د", + "âĢĮد Ùĩد", + "l ıklı", + "lık lı", + "Ġ strate", + "Ġst rate", + "Ġstr ate", + "Ġstrat e", + "Ġstra te", + "ب ÙĪر", + "بÙĪ ر", + "ãĢģ ãĤ¢", + "Ġson uc", + "Ġsonu c", + "Ġна иболее", + "- в", + "Ġвод ой", + "oj enÃŃ", + "oje nÃŃ", + "Ġغ رب", + "Ġغر ب", + "Ġb eri", + "Ġbe ri", + "Ġber i", + "a dÄĽ", + "ad ÄĽ", + "Ġd ovol", + "Ġdo vol", + "Ġdov ol", + "âĢĮÚ©ÙĨ ÙĨدگاÙĨ", + "âĢĮÚ©ÙĨÙĨد گاÙĨ", + "ãģķ ãĤī", + "ãĥ³ ãĤº", + "ãĤ« ãĥ«", + "om etr", + "ome tr", + "omet r", + "åĩ Ģ", + "ĠÙģ ÙĪÙĦ", + "ĠÙģÙĪ ÙĦ", + "ĠÙħ ÙĪسÛĮ", + "ĠÙħÙĪ سÛĮ", + "ĠÙħÙĪس ÛĮ", + "ĠاÙĦÙħغ رب", + "e cko", + "ec ko", + "eck o", + "ÙĢÙĢÙĢÙĢ ÙĢÙĢÙĢÙĢ", + "ê°Ģ 격", + "ÑĢ ÑĥÑĤ", + "ÑĢÑĥ ÑĤ", + "Ġ ë¶Ģë¶Ħ", + "Ġë¶Ģ ë¶Ħ", + "ĠpÅĻed pis", + "Ġoprav du", + "еÑĤ иÑĩ", + "еÑĤи Ñĩ", + "à¹Ĥ à¸Ħรà¸ĩà¸ģาร", + "æ ħ§", + "æħ §", + "æĭ ľ", + "س Ùĥ", + "ìŀ¡ ëĭ´", + "à¸Ľà¸£à¸°à¸¡ าà¸ĵ", + "è´¨ éĩı", + "Ġголов Ñĥ", + "Ġгол овÑĥ", + "л ениÑİ", + "лен иÑİ", + "ле ниÑİ", + "Ġन à¤ı", + "Ġprojekt u", + "ا Ùģر", + "اÙģ ر", + "at ivnÃŃ", + "ati vnÃŃ", + "ativ nÃŃ", + "ÎŃ Î½ÏĦ", + "ÎŃν ÏĦ", + "ãĥī ãĥ©", + "Ġted av", + "ê ¼", + "à¸Ľà¸£à¸°à¸ģ าศ", + "Ġt uto", + "Ġtu to", + "Ġtut o", + "Ġch iếu", + "Ġchi ếu", + "Ġchiế u", + "Ġv yz", + "Ġvy z", + "ÑĢ оÑĪ", + "ÑĢо ÑĪ", + "åıĸ å¾Ĺ", + "Ġм иÑģÑĤ", + "Ġми ÑģÑĤ", + "ĠмиÑģ ÑĤ", + "ĠÑģлÑĥÑĩа ÑıÑħ", + "Ġغ Ø°", + "ĠÑĥ клад", + "ĠÑĥк лад", + "ĠÑĥÑģÑĤанов лен", + "Ġtes lim", + "Ġ ãĢį", + "ĠãĢ į", + "Ġ è£", + "Ġè £", + "æ¯ «", + "éĬĢ è¡Į", + "e cts", + "ect s", + "ec ts", + "k emiz", + "kem iz", + "ν ηÏĤ", + "νη ÏĤ", + "è¾ º", + "Ġп ÑĢем", + "ĠпÑĢ ем", + "ĠпÑĢе м", + "Ġson ucu", + "Ġsonuc u", + "Ġsonu cu", + "P okud", + "Po kud", + "Pok ud", + "ĠÐŀÑģ об", + "è¾ Ľ", + "è¼ ¸", + "ë³´ ê³ł", + "à¸ļ à¸Ħ", + "ãĢĤ ãĢį", + "ा ।ĊĊ", + "ा। ĊĊ", + "ा।Ċ Ċ", + "ĠÑģамоÑģÑĤ оÑıÑĤелÑĮ", + "ÙĦ ÛĮت", + "ÙĦÛĮ ت", + "λ εκ", + "λε κ", + "ĠÑĢай она", + "ĠÑĢайон а", + "ÑĮ и", + "à¹Ī าà¸Ĺ", + "à¹Īา à¸Ĺ", + "Ġ à¸Ľà¸£à¸°à¹Ģà¸Ĺศ", + "Ġà¸Ľà¸£à¸° à¹Ģà¸Ĺศ", + "ม à¸Ń", + "ا Ùĩر", + "اÙĩ ر", + "Ġви боÑĢ", + "Ġвиб оÑĢ", + "ÑİÑĩи ÑģÑĮ", + "Ġp ovol", + "Ġpo vol", + "Ġpov ol", + "a base", + "ab ase", + "aba se", + "âĢ³ N", + "Ú© ÙĪ", + "ĠУкÑĢаÑĹ Ð½Ð°", + "ĠУкÑĢа ÑĹна", + "ĠУкÑĢаÑĹн а", + "sta nov", + "stan ov", + "ĠÑĥÑĩ аÑģÑĤи", + "ĠÑĥÑĩа ÑģÑĤи", + "ĠÑĥÑĩаÑģÑĤ и", + "ĠÑĥÑĩаÑģ ÑĤи", + "Ġh lad", + "Ġhl ad", + "ĠÑĢаÑģÑģ каз", + "ãģ¿ ãģŁãģĦ", + "á½ °", + "Ġ åĽŀ", + "ĠåĽ ŀ", + "Ġ Æ°Æ¡ng", + "α Ïģά", + "αÏģ ά", + "Ø® ب", + "æį ķ", + "ÃŃ ÅĻ", + "Ġ سÛĮÙĨ", + "Ġس ÛĮÙĨ", + "ĠسÛĮ ÙĨ", + "Âł in", + "ĠM ÄĽst", + "æķĻ åѦ", + "ĠоÑģоб иÑģÑĤ", + "ĠоÑģоби ÑģÑĤ", + "u ji", + "uj i", + "çĶ» åĥı", + "ĠداÙĨ Ø´ÙĨاÙħÙĩ", + "ĠداÙĨØ´ ÙĨاÙħÙĩ", + "ìĿ´ ìķ¼", + "Ġзап иÑĤ", + "ĠÑģво ими", + "ĠÑģвои ми", + "ĠÑģвоим и", + "Û²Û° Û²", + "ï¼Į å°Ĩ", + "ãĥ¼ ãģ®", + "Ġth ÃŃ", + "ĠÙħت ÙĪسط", + "à¥ĩ Ċ", + "å¤ļ å°ij", + "ï¼Į çĦ¶åIJİ", + "íĹ Ī", + "Ġ à¤Ńà¤Ĺ", + "Ġà¤Ń à¤Ĺ", + "Ġ åı·", + "Ġåı ·", + "Ġt eor", + "Ġte or", + "å Ĥ¨", + "åĤ ¨", + "Ġ ÑĢÑĸÑĩ", + "ĠÑĢ ÑĸÑĩ", + "ĠÑģÑĤаÑĤ ÑĤÑĸ", + "Ġرابط Ùĩ", + "Ġ ï¼ľ", + "Ġï¼ ľ", + "ب اØŃ", + "با ØŃ", + "ิà¸Ļ à¸Ĺาà¸ĩ", + "ิà¸Ļà¸Ĺ าà¸ĩ", + "à¥ĩà¤Ĥ Ċ", + "ائ ÙĤ", + "ĠاÙĦج دÙĬد", + "l iÄį", + "li Äį", + "ا ØŃÙĦ", + "اØŃ ÙĦ", + "mé nÄĽ", + "Ġb ầu", + "ĠÐĴ ал", + "Ġб лагод", + "Ġбла год", + "Ġблаг од", + "еÑĤ елÑĮ", + "еÑĤе лÑĮ", + "å¹³ åĿĩ", + "м ин", + "ми н", + "Ġsü rec", + "Ġsür ec", + "Ġsüre c", + "Ġза вод", + "Ġзав од", + "èį IJ", + "ÑĤ ий", + "ÑĤи й", + "л об", + "ло б", + "Ġ вок", + "Ġв ок", + "Ġво к", + "l adıģı", + "la dıģı", + "lad ıģı", + "ladı ģı", + "ladıģ ı", + "اÙĬ ÙĬ", + "ê²ł ìĬµëĭĪëĭ¤", + "Ġamac ıyla", + "Ġamacı yla", + "ï¼Į åĽłä¸º", + "ï¼ĮåĽł 为", + "ãģ§ ãģĤãģ£ãģŁ", + "ãģ§ãģĤ ãģ£ãģŁ", + "ĠØ´ رÙĪع", + "Ġشر ÙĪع", + "æŁ Ķ", + "' nun", + "'n un", + "о кол", + "ок ол", + "око л", + "Ġc iddi", + "Ġcid di", + "Ġb ụ", + "Ġyap ılacak", + "Ġyapı lacak", + "Ġyapıl acak", + "ĠÑĩÑĥв ÑģÑĤв", + "ìĤ¬ ìĿĺ", + "à¸Ń à¸Ļà¸Ķ", + "à¸Ńà¸Ļ à¸Ķ", + "ΊΤ", + "Ġëĭ¤ ìĸij", + "ëĭ¤ ë©´", + "im izi", + "imi zi", + "imiz i", + "ä¹ Ĥ", + "ãģ² ãģ¨", + "Ġ éĿŀ", + "ĠéĿ ŀ", + "âĢĮپدÛĮ ا", + "ä¹ ĺ", + "ãĥĬ ãĥ«", + "ĠпÑĸдпÑĢиÑĶм ÑģÑĤва", + "ĠпÑĸдпÑĢиÑĶмÑģÑĤв а", + "๠ij", + "è¿ Ŀ", + "ĠÙħ ÙĨÙĩ", + "ĠÙħÙĨ Ùĩ", + "ÑĢ ик", + "ÑĢи к", + "а ÑĢÑĸв", + "аÑĢ Ñĸв", + "аÑĢÑĸ в", + "Ġ кого", + "Ġк ого", + "Ġко го", + "ĠÙĤ ص", + "Ġ æĿ¥", + "ĠæĿ ¥", + "ĠPh òng", + "Ġ ово", + "Ġо во", + "Ġов о", + "ĠпеÑĢ ева", + "ĠпеÑĢе ва", + "ĠпеÑĢев а", + "é£ ²", + "à¤Ĥ à¤Łà¤°", + "à¤Ĥà¤Ł र", + "ÙĬ را", + "ÙĬر ا", + "il diÄŁi", + "ildi ÄŁi", + "e tin", + "et in", + "eti n", + "Ïĩε ία", + "Ïĩεί α", + "Ġzah rani", + "ÙĪ جد", + "ÙĪج د", + "Ġ ç¯", + "Ġç ¯", + "าร ย", + "Ġза ко", + "Ġзак о", + "ĠتÙĤ س", + "ãĤ¹ ãĤ¿ãĥ¼", + "ãĤ¹ãĤ¿ ãĥ¼", + "æĿ °", + "Ġ ãĤ°", + "ĠãĤ °", + "Ġ é»Ħ", + "Ġé» Ħ", + "Ġ Ðļогда", + "ĠÐļ огда", + "ॠ«", + "Ġ 次", + "Ġæ¬ ¡", + "ĠвÑĭ ÑĢаж", + "Ġch Äĥm", + "лÑı ÑĶÑĤÑĮÑģÑı", + "лÑıÑĶ ÑĤÑĮÑģÑı", + "د ÙĩÙħ", + "دÙĩ Ùħ", + "Ġv rch", + "Ġvr ch", + "çº Į", + "п оÑĢ", + "по ÑĢ", + "Ġm aÄŁ", + "Ġma ÄŁ", + "å¾Ĵ æŃ©", + "po dob", + "pod ob", + "ะ à¹ģ", + "éģ¸ æīĭ", + "å¸ ¯", + "Ġse bou", + "Ġseb ou", + "in ize", + "ini ze", + "iniz e", + "ĠÐľ ак", + "ĠÐľÐ° к", + "Ġ æĻ®", + "ĠæĻ ®", + "ĠÏħÏĢ άÏģÏĩ", + "ĠÄIJ Ãł", + "ĠBr no", + "Ġ Å¡ÃŃ", + "ĠÅ¡ ÃŃ", + "اÙĦ ص", + "Ġngh iêm", + "Ġnghi êm", + "Ġon ları", + "Ġonlar ı", + "Ġu žÃŃ", + "Ġuž ÃŃ", + "èĩªåĪĨ ãģ®", + "ĠнаÑħод иÑĤÑģÑı", + "Ġj si", + "Ġjs i", + "Ġस मर", + "Ġसम र", + "ĠÏĨ Ïī", + "Û±Û¹ Û¸", + "Ġà¤ľà¤Ĺ ह", + "éŃ ļ", + "ìĿ¸ ê°Ģ", + "ÄIJ iá»ģu", + "ĠØ£ عÙĦاÙħ", + "Ġأع ÙĦاÙħ", + "à¥ĩà¤Ĥ ।Ċ", + "à¥ĩà¤Ĥ। Ċ", + "å½¢ æĪIJ", + "Ġ ikt", + "Ġi kt", + "Ġik t", + "Ġzd roj", + "ĠAmer ik", + "Ρ Îĵ", + "à¸ĩ ส", + "ĠíĴ Ģ", + "Ñģол ÑİÑĤ", + "ÙĪ ÙĬت", + "ÙĪÙĬ ت", + "Ġgörün tü", + "ан нÑĭÑħ", + "аннÑĭ Ñħ", + "ĠØ£ ÙĤ", + "Ġ миÑĢ", + "Ġм иÑĢ", + "Ġми ÑĢ", + "å« Į", + "Ġm á»iji", + "Ġd erin", + "Ġde rin", + "Ġder in", + "é ĴĪ", + "éĴ Ī", + "Ġма ÑĪи", + "ĠмаÑĪ и", + "ì¸ ¡", + "ĠجÙĨ ÙĪب", + "ĠÑģ ло", + "ĠÑģл о", + "ãĢĤ ä¸Ģ", + "ени ÑıÑħ", + "ениÑı Ñħ", + "ĠÑĩолов Ñĸк", + "Ġy ana", + "Ġya na", + "Ġyan a", + "Ġо кÑĤ", + "Ġок ÑĤ", + "Ġ неÑĢ", + "Ġн еÑĢ", + "Ġне ÑĢ", + "æĪ ¶", + "н ÑĮомÑĥ", + "нÑĮ омÑĥ", + "нÑĮо мÑĥ", + "ĠÑĸ мен", + "ĠÑĸм ен", + "ãĤı ãģŁãģĹ", + "ĠÎĵ ια", + "ĠÎĵι α", + "ãĢģ ç§ģ", + "Ġ kou", + "Ġk ou", + "Ġko u", + "ĠÑĨ еÑĢк", + "ĠÑĨеÑĢ к", + "lay arak", + "ãĢ ĩ", + "ا ÙĦس", + "اÙĦ س", + "Âł T", + "Ġд ÑĢÑĥж", + "ĠдÑĢÑĥ ж", + "ĠдÑĢ Ñĥж", + "Ġд воÑĢ", + "Ġдв оÑĢ", + "Ġдво ÑĢ", + "λ ί", + "ĠëĨ Ģ", + "Ġte plot", + "Ġtep lot", + "Ùģ ات", + "б Ñĸ", + "Ġgüven lik", + "Ġgüvenli k", + "n ÄĽn", + "nÄĽ n", + "è© ©", + "Ġinsan ların", + "Ġinsanlar ın", + "ĠìĦ¤ ì¹ĺ", + "èĵ Ŀ", + "a vatel", + "av atel", + "ava tel", + "j ev", + "je v", + "ĠÚĨ را", + "Ġgerek iyor", + "ãĥĥ ãĤ°", + "ĠÃĩ ok", + "Ġ ÙĪجÙĩ", + "ĠÙĪ جÙĩ", + "ĠÙĪج Ùĩ", + "Ġ Ñĥли", + "ĠÑĥ ли", + "ĠÑĥл и", + " ij", + "åij Ģ", + "ĠоÑĢгани заÑĨии", + "ĠоÑĢганиз аÑĨии", + "ĠоÑĢганиза ÑĨии", + "ĠÑĸÑģ нÑĥ", + "Ġneb ude", + "Ġnebu de", + "Ġë° ¤", + "ä¸Ĭ ãģĮ", + "Ġध न", + "ĠرÙĪ ابط", + "γγ ελ", + "Ġдо ÑģÑıг", + "ĠдоÑģ Ñıг", + "ĠاÙĦÙĤ دÙħ", + "ĠاÙĦÙĤد Ùħ", + "Ġзна Ñħод", + "ĠÄįÃŃs lo", + "ÅŁ k", + "ĠاÙĦد ÙĬÙĨ", + "Ġgün lük", + "ÙĥÙĬ ÙĬÙģ", + "ÎŃ Ïģα", + "ÎŃÏģ α", + "à¸ķ รว", + "à¸ķร ว", + "Ġнали Ñĩи", + "ا ÙħÛĮÙĨ", + "اÙħ ÛĮÙĨ", + "اÙħÛĮ ÙĨ", + "Ġμ ικ", + "Ġdönem de", + "à¹Ī à¸Ĺ", + "æĥ ij", + "à¥ĭà¤Ĥ ,", + "Ñĩ Ñı", + "ãģ¾ ãĤĭ", + "ĠاÙĦ تÙĨ", + "ĠاÙĦت ÙĨ", + "ÑĢ аг", + "ÑĢаР³", + "ÑĢа г", + "ëĵ¤ ê³¼", + "Ń Ķ", + "ĠÙħÙĨ Ùĩا", + "ĠÙħÙĨÙĩ ا", + "ĠTh ế", + "éIJ µ", + "Ġ ï¾Ħ", + "Ġï¾ Ħ", + "ĠاÙĦØ¥ سÙĦاÙħ", + "ãĤ¦ ãĤ¹", + "ÙĬ دÙĬ", + "ÙĬد ÙĬ", + "Ġ å¾Ĺ", + "Ġå¾ Ĺ", + "Ġза ÑĢаз", + "ãĤ¸ ãĥ¥", + "Ġت عد", + "Ġتع د", + "i ÃŃ", + "Ġç ocu", + "oz ici", + "Ġ ë²Ķ", + "Ġë² Ķ", + "ĠØ¢Ùħ دÙĩ", + "ĠØ¢Ùħد Ùĩ", + "ÑĦ ик", + "ÑĦи к", + "Ġпо ÑģÑĤанов", + "ĠпоÑģÑĤ анов", + "Ġkrál ov", + "¨ ¨", + "Ġì¤ij ìļĶ", + "ĠG Wei", + "ĠGW ei", + "Ġvý voj", + "Ġboy ut", + "Ġ nek", + "Ġn ek", + "Ġne k", + "ا ÙĩاÛĮ", + "اÙĩ اÛĮ", + "اÙĩا ÛĮ", + "Ġst ranÄĽ", + "Ġstran ÄĽ", + "Ġstra nÄĽ", + "и ем", + "ие м", + "Ġпо ÑĢаж", + "ĠпоÑĢ аж", + "à¥įर दर", + "à¥įरद र", + "é¡Ķ ãĤĴ", + "ĠY üz", + "Ġо знаÑĩа", + "Ġозна Ñĩа", + "à¹ģล à¸Ļà¸Ķ", + "Ġب ÙĩرÙĩ", + "ĠبÙĩ رÙĩ", + "ен ÑĤÑĥ", + "енÑĤ Ñĥ", + "ĠÐĿ ад", + "ĠÐĿа д", + "ĠÐŁ олÑĮ", + "ĠÐŁÐ¾ лÑĮ", + "ĠÐŁÐ¾Ð» ÑĮ", + "ãĥĹ ãĥª", + "á¿ ¶", + "âĢĮپدÛĮ اÛĮ", + "âĢĮپدÛĮا ÛĮ", + "ĠÙ¾ اÙĪرپÙĪÛĮÙĨت", + "ิà¸ģ า", + "Ġε νÏİ", + "Ġεν Ïİ", + "Ġس اÛĮر", + "éģ º", + "ãĢģ ä»Ĭ", + "ĠL ê", + "äºĭ æĥħ", + "ĠY er", + "ĠYe r", + "èħ °", + "ĠاÙĦر سÙħ", + "ĠاÙĦÙħ ÙĪÙĤع", + "ĠاÙĦÙħÙĪ ÙĤع", + "Ġh Ãłm", + "Ġд ÑĢев", + "ĠдÑĢ ев", + "á tel", + "át el", + "áte l", + "ĠвÑģ Ñij", + "ìĺ ¥", + "ĠM ec", + "ĠMe c", + "ãĤ Ľ", + "Ġص اد", + "ĠÚ¯ ردد", + "Ġگرد د", + "Ġگر دد", + "Ġkr ás", + "èĮĥ åĽ´", + "a larına", + "alar ına", + "aları na", + "aların a", + "èĻ ļ", + "ĠØ¢ ÙĪرد", + "ĠØ¢ÙĪر د", + "ç¼ ĵ", + "ิ à¸ŀ", + "Ġ ãĥĭ", + "Ġãĥ ĭ", + "Ġ æĢ§", + "ĠæĢ §", + "ĠÙħÙĨ Ø°", + "ç· ´", + "Ġ ê¶ģ", + "Ġê ¶ģ", + "в аем", + "ва ем", + "Ġζ Ïī", + "Ġn avr", + "Ġna vr", + "Ġnav r", + "Ïĥ ÏĦαÏĥη", + "ÏĥÏĦα Ïĥη", + "Ġر Ø£", + "Ġd opl", + "Ġdo pl", + "Ġdop l", + "＿ ＿＿", + "＿＿ ＿", + "çĶļ èĩ³", + "Äį el", + "Äįe l", + "æĦı åij³", + "ç¥ Ń", + "à ĺ", + "ÑģÑĤв еннÑĭе", + "ÑģÑĤвен нÑĭе", + "è£ ¡", + "Ġ ãĢī", + "ĠãĢ ī", + "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ĠãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "Ġ вал", + "Ġв ал", + "Ġва л", + "Ġ ẩm", + "Ġd iyor", + "Ġdi yor", + "Ġdiy or", + "à¸Ńà¸ĩ à¸Īาà¸ģ", + "ĠPh ó", + "ĠÐĵ е", + "ĠвеÑĢ еÑģ", + "Ġве ÑĢеÑģ", + "Ġk onz", + "Ġko nz", + "Ġkon z", + "ر ز", + "ĠÑģоб оÑİ", + "Ġεκ εί", + "ìĺģ ìĸ´", + "i ag", + "ia g", + "ĠÑģ енÑĤ", + "Ġn ấu", + "Ġja ké", + "Ġjak é", + "Ġro zh", + "Ġroz h", + "Ġб ог", + "Ġбо г", + "ÙĨ اد", + "ÙĨا د", + "ĠاÙħ ÙĪر", + "à¹Į à¸ģาร", + "à¹Įà¸ģ าร", + "ĠY aÅŁ", + "ĠYa ÅŁ", + "é Ī", + "åķ ª", + "Ġon ay", + "Ġona y", + "ìĹ ĩ", + "o mu", + "om u", + "ÑĨ Ñĸйного", + "ÑĨÑĸй ного", + "ÑĨÑĸйно го", + "ĠÑģ ал", + "ĠΣ Ïħν", + "ĠΣÏħ ν", + "Ġsav un", + "å¦ Ļ", + "à¸Īะ ม", + "ãĤ¹ ãĤ¯", + "Ġd osy", + "Ġdo sy", + "Ġdos y", + "ľ ĺ", + "ë¨ ¹", + "Ġmin ul", + "Ġmi nul", + "ãĢĭ Ċ", + "åģ ı", + "ĠÐļ аÑĤ", + "ĠÐļа ÑĤ", + "Ġed ilmesi", + "Ġedilm esi", + "Ġedil mesi", + "ÑĨÑĸ ÑĶн", + "ìĦ± ìĿ´", + "åĸ Ķ", + "Ġв ÑĸÑĢ", + "ĠвÑĸ ÑĢ", + "è¯ ij", + "ाà¤ĩ ड", + "ĠÙĪÙĤ تÛĮ", + "ĠÙĪÙĤت ÛĮ", + "ÄIJ á»ĥ", + "Ġ vyÅ¡Å¡ÃŃ", + "Ġvy Å¡Å¡ÃŃ", + "Äį ila", + "Äįi la", + "Äįil a", + "а дÑĥ", + "ад Ñĥ", + "çī¹ åĪ¥", + "ĠìĿ¸ 기", + "u jÃŃcÃŃch", + "ujÃŃ cÃŃch", + "ujÃŃcÃŃ ch", + "ĠPo dle", + "ĠPod le", + "Ġy avaÅŁ", + "Ļ æ±Ł", + "Ġka yb", + "Ġkay b", + "åĬ ª", + "ç´ ¹", + "Ġоб ÑĢабоÑĤ", + "ĠобÑĢа боÑĤ", + "Ġм аÑı", + "Ġма Ñı", + "Ġ åıĬ", + "Ġåı Ĭ", + "æİ¥ åıĹ", + "ÙĨ تÛĮ", + "ÙĨت ÛĮ", + "Ġ ÏĩÏİ", + "ĠÏĩ Ïİ", + "ÑĤ ÑĢо", + "ÑĤÑĢ о", + "Ġu yar", + "Ġuy ar", + "ĠعÙħÙĦ کرد", + "Ġо ÑĨен", + "ĠмеÑģÑĤ а", + "à¸ķ ลาà¸Ķ", + "à¸ķล าà¸Ķ", + "Ùħ ÙĤ", + "ild ren", + "Ġзави ÑģиÑĤ", + "Âł ĠÂł", + "ÂłĠ Âł", + "Ġm ožná", + "Ġmož ná", + "æĺŃ åĴĮ", + "ır ken", + "к ин", + "ки н", + "åĿ Ĥ", + "ÏĦ Ïĥι", + "ÏĦÏĥ ι", + "ĠÑĩ Ñĥд", + "Ðļ он", + "is lav", + "isl av", + "ĠÐļ ÑĢаÑģ", + "ĠÐļÑĢа Ñģ", + "N ej", + "Ne j", + "Âł b", + "r of", + "ro f", + "Ġ ileri", + "Ġi leri", + "Ġil eri", + "Ġile ri", + "Ġiler i", + "ĠÐŀ ÑĢ", + "ĠCh á»ī", + "Ġn üfus", + "ĠÑĸ нÑĤ", + "ĠÑĸн ÑĤ", + "! âĢľ", + "Ġन र", + "主 ä¹ī", + "ĠتÙĨ ظ", + "ův odu", + "ůvod u", + "ĠгоÑĢ ода", + "ĠгоÑĢод а", + "Ġk ural", + "Ġkur al", + "Ġku ral", + "Ġj edin", + "Ġje din", + "Ġjed in", + "ÑĢ аÑĤег", + "ÑĢаÑĤ ег", + "åĢ º", + "Ġzpůsob em", + "ìĿ¸ ìĿĺ", + "Ġ ÙĨب", + "ĠÙĨ ب", + "ĠN ga", + "ĠNg a", + "ĠÐĿ ай", + "ĠÐĿа й", + "ĠاÙģ زار", + "ĠاÙģز ار", + "нÑĥ вÑģÑı", + "нÑĥв ÑģÑı", + "Ġдв оÑħ", + "Ġдво Ñħ", + "Ġro zp", + "Ġroz p", + "ε ίοÏħ", + "εί οÏħ", + "είο Ïħ", + "Ġο ικο", + "Ġοι κο", + "ĠG eç", + "ĠGe ç", + " Ĺ", + "Ġch iếm", + "Ġchiế m", + "ĠÑĢаÑģпÑĢоÑģÑĤ ÑĢан", + "Ġh Æ°Æ¡ng", + "èĩª åĭķ", + "ĠÙħÙĪ ÙģÙĤ", + "æĮ ¥", + "ï¼ģ âĢĿĊĊ", + "ï¼ģâĢĿ ĊĊ", + "Ïģο ÏĨοÏģ", + "èı Į", + "ãĥ´ ãĤ¡", + "欧 ç¾İ", + "ĠÑĤеп ло", + "ãģĤ ãģĤ", + "ãĤ¦ ãĥ³", + "ĠÅŁ eyi", + "ĠÅŁey i", + "Ġs üt", + "Ġsü t", + "ãģ¹ ãģ¦", + "ãĥ³ ãĥij", + "ãĥ³ãĥ ij", + "μÎŃν Ïīν", + "Ġgenel likle", + "Ġدر ÙħاÙĨ", + "Ù ª", + "Ġak ıl", + "ĠÐľ Ñĭ", + "Ġet miÅŁ", + "Ġetm iÅŁ", + "Å¡ la", + "Ġвозмож ноÑģÑĤÑĮ", + "Ġвозможно ÑģÑĤÑĮ", + "Ġgün cel", + "Ġná ro", + "å½¢ å¼ı", + "Ġα ÏĢοÏĦε", + "ĠαÏĢο ÏĦε", + "ĠмÑĸÑģ ÑĨÑı", + "Ġ رض", + "Ġر ض", + "ä¸į çŁ¥éģĵ", + "ä¸įçŁ¥ éģĵ", + "r ava", + "ra va", + "rav a", + "ĠÎļ ά", + "ิà¸Ļ à¸Ĺร", + "ิà¸Ļà¸Ĺ ร", + "Ġли ÑģÑĤÑĮ", + "ĠлиÑģÑĤ ÑĮ", + "èĨ ľ", + "ãģ«ãģª ãĤĬ", + "Ġ æĿ¾", + "ĠæĿ ¾", + "å® ı", + "Ġм иÑģ", + "Ġми Ñģ", + "át nÃŃ", + "Ġyıl lık", + "ĠMerk ezi", + "ĠMerkez i", + "Ġiç eri", + "Ġiçer i", + "ÅĻ ÃŃž", + "ÅĻÃŃ Å¾", + "Ġp ÅĻe", + "ĠpÅĻ e", + "Ïĩ Ïģι", + "Ġ åįĥ", + "Ġåį ĥ", + "Ġs rp", + "Ġsr p", + "à¹Ĥ à¸Ĺร", + "à¹Ĥà¸Ĺ ร", + "ĠK rál", + "ĠKr ál", + ". Σ", + "á val", + "áv al", + "l éd", + "lé d", + "Ġ λα", + "Ġλ α", + "ี ยวà¸ģ", + "ีย วà¸ģ", + "ียว à¸ģ", + "ãģı ãģª", + "ĠvÅ¡ ichni", + "ĠпÑĢед оÑģÑĤав", + "ì ¿", + "Ġ 구ê¸ĢìĥģìľĦ", + "Ġ구 ê¸ĢìĥģìľĦ", + "Ġ구ê¸Ģ ìĥģìľĦ", + "Ġà¤īप लब", + "в оз", + "во з", + "ĠëħĦ ëıĦë³Ħ", + "､ _", + "à¸ļ รร", + "à¸ļร ร", + "ĠÑģв ÑĸÑĤÑĥ", + "ĠÑģвÑĸÑĤ Ñĥ", + "ĠÑĢÑĥб лей", + "len me", + "lÃŃ Äį", + "ÏĦ ει", + "ÏĦε ι", + "Ġ åı¤", + "Ġåı ¤", + "ĠObr ázky", + "Ġìĺģ íĸ¥", + "ĠгÑĢаж дан", + "í Ĥ¹", + "íĤ ¹", + "Ġsahip tir", + "Ġп оÑĩаÑĤкÑĥ", + "ĠпоÑĩ аÑĤкÑĥ", + "ĠØ£ÙĬ ض", + "ĠÑĤоÑĢ гов", + "Ġgel ecek", + "Ġgele cek", + "Ġ 문íĻĶ", + "Ġ문 íĻĶ", + "ik leri", + "ikler i", + "ĠнеобÑħÑĸд но", + "Ġ äºij", + "o vol", + "ov ol", + "ovo l", + "Ġद ल", + "ĠìķĬ ê³ł", + "Ġм г", + "Ġz jist", + "an lı", + "ั à¸ĩà¸Ļ", + "ัà¸ĩ à¸Ļ", + "ÑĢа Ñħов", + "ÑĢаÑħ ов", + "ι νη", + "ιν η", + "Ġп лоÑĤ", + "Ġпл оÑĤ", + "Ġпло ÑĤ", + "Ġn itel", + "Ġni tel", + "Ġnit el", + "ìĬ¤ íģ¬", + "ĠSon ra", + "ĠÑģ боÑĢ", + "ĠÑģб оÑĢ", + "Ġ ÏĥοÏħ", + "ĠÏĥ οÏħ", + "Ġol mam", + "Ġolm am", + "Ġolma m", + "Ġan aliz", + "Ġanal iz", + "à¹Į ว", + "Ġm ỹ", + "Ġmá» ¹", + "ce ae", + "cea e", + "Ġ ден", + "Ġд ен", + "Ġде н", + "веÑĢ жд", + "веÑĢж д", + "Ạ¢", + "ãģĵ ãģ¨ãĤĤ", + "ãģĵãģ¨ ãĤĤ", + "ìĤ¬ íķŃ", + "è¨Ģ ãģ£ãģŁ", + "Ġ ì¹´ì§Ģëħ¸", + "Ġì¹´ ì§Ģëħ¸", + "ÑĢ иÑĤи", + "ÑĢи ÑĤи", + "ÑĢиÑĤ и", + "Ġch ce", + "Ġçev ir", + "ÛĮ ÛĮÙĨ", + "ä¼ļ è®®", + "ัม à¸ŀ", + "Ġ åĦ", + "Ġå Ħ", + "ĠÙ¾ در", + "å¼ı ä¼ļ社", + "Ġ ÑĨен", + "ĠÑĨ ен", + "ĠÑĨе н", + "ิ à¸ĸ", + "Ġji nak", + "Ġjin ak", + "Ġб лÑİ", + "Ġбл Ñİ", + "и ÑĨин", + "иÑĨ ин", + "ÙĴ Ùĩ", + "Ú© ÙĪر", + "Ú©ÙĪ ر", + "Ġ ìķħ", + "Ġìķ ħ", + "e ksiyon", + "ek siyon", + "eks iyon", + "ĠÑģ веÑĢ", + "ĠÑģв еÑĢ", + "ĠобÑĢаз ованиÑı", + "Ġ ãĥĻ", + "Ġãĥ Ļ", + "æľī 人", + "Ġbilg ileri", + "Ġbilgi leri", + "Ġbilgiler i", + "Ġh ầu", + "еÑĢ Ñĸг", + "еÑĢÑĸ г", + "Ġva Å¡e", + "Ġn edir", + "Ġne dir", + "Ġned ir", + "ä¸į å¾Ĺ", + "ĠbaÅŁar ılı", + "ĠbaÅŁarı lı", + "Ġkay bet", + "Ġkayb et", + "å© ·", + "ĠÐĿ ав", + "ĠÐĿа в", + "Ġê´Ģ íķľ", + "Ñģ ÑĤÑİ", + "ÑģÑĤ Ñİ", + "å®ŀ éĻħ", + "k lady", + "kl ady", + "klad y", + "kla dy", + "д аÑĤÑĮ", + "да ÑĤÑĮ", + "даÑĤ ÑĮ", + "r aç", + "ra ç", + "Ġkuv vet", + "à¸ģาร à¸Ĺ", + "å ļ", + "Ġ ÑĢеп", + "ĠÑĢ еп", + "ĠÑĢе п", + "Ġ à¸Ŀ", + "ĠภĿ", + "ĠDi ÄŁer", + "íĶĦ íĬ¸", + "Ġnej vÄĽtÅ¡ÃŃ", + "Ġìłģ ìļ©", + "Ġonemoc nÄĽnÃŃ", + "а ка", + "ак а", + "Ðł аз", + "ĠÙģ Ø¥ÙĨ", + "ãĤµ ãĤ¤ãĤº", + "ãĤµãĤ¤ ãĤº", + "Ġv lád", + "Ġvl ád", + "Ġvlá d", + "Ġr ady", + "Ġrad y", + "Ġra dy", + "ãĢģ ãģĵãĤĮ", + "ÑģÑĤв ие", + "lı ÄŁa", + "lıģ a", + "å ŃĶ", + "åŃ Ķ", + "Ġ áo", + "Ġá o", + "à¸Ń าà¸ģาศ", + "Ġ à¤ıम", + "Ġà¤ı म", + "δ αÏĤ", + "δα ÏĤ", + "Ġа пÑĢ", + "Ġап ÑĢ", + "æİ Ľ", + "Ġ ç«ĭ", + "Ġç« ĭ", + "âĸı âĸı", + "ĠС м", + "Ġne má", + "Ġnem á", + "Ġ è¢", + "Ġè ¢", + "νο μα", + "νομ α", + "ĠÙģ رÙĪد", + "ĠÙģر ÙĪد", + "ĠÙģرÙĪ د", + "Ġül ke", + "Ġülk e", + "Ġ æĺŁ", + "Ġæĺ Ł", + "ั à¸Ļà¸ģ", + "ัà¸Ļ à¸ģ", + "ãģķãĤĵ ãģ®", + "eÅŁ il", + "ÄŁ iz", + "ÄŁi z", + "ĠÐij оÑĢ", + "Ġt ầm", + "ει ÏĦοÏħÏģγ", + "Ġ γÏģα", + "Ġγ Ïģα", + "à¥įष à¤ķ", + "Ġv ẻ", + "Ġkend isine", + "Ġkendisi ne", + "ĠìķĮ ê³ł", + "Ġêµ Ńìłľ", + "ĠêµŃ ìłľ", + "ĠnÄĽk do", + "Ġ ÛĮÙĩ", + "ĠÛĮ Ùĩ", + "Ġکار بر", + "ãĥĻ ãĥ«", + "ï» ´", + "Ġt uyên", + "Ġtuy ên", + "Ġç at", + "Ġça t", + "âĢIJ âĢIJ", + " ı", + "Ġ ìĤ¬ìĹħ", + "ĠìĤ¬ ìĹħ", + "é ĨĴ", + "éĨ Ĵ", + "æıIJ é«ĺ", + "æ· ¡", + "Ġ ÄŁ", + "ĠÄ Ł", + "èĸ ¦", + "ãĢĭ ï¼Ī", + "æ¡ ĥ", + "ìĹ Ħ", + "Ġ æŀĹ", + "Ġæŀ Ĺ", + "Ä Ĥ", + "ĠÄĮ ech", + "α ιο", + "αι ο", + "ĠØ· رÙĬÙĤ", + "Ġطر ÙĬÙĤ", + "Ġзав еÑĢÑĪ", + "ĠзавеÑĢ ÑĪ", + "تÙĪ بر", + "ĠØŃ Ø¬", + "ĠÎŃÏĩ οÏħν", + "¿ ÃĤ", + "Ġd ÄĽtÃŃ", + "ĠdÄĽ tÃŃ", + "ĠdÄĽt ÃŃ", + "Ġiç ine", + "Ġiçin e", + "Ġiçi ne", + "ĠCh úa", + "ан нÑĭй", + "аннÑĭ й", + "ĠÙĪÛĮ Úĺ", + "Ġna stav", + "Ġnast av", + "ıs ına", + "ısı na", + "ĠÑĹ Ð¼", + "п он", + "по н", + "е нÑı", + "ен Ñı", + "ĠÙĪ ظ", + "Ú¯ ÙĦ", + "หล วà¸ĩ", + "Ġza stav", + "Ġzast av", + "а кон", + "ак он", + "³³³³³³³³³³³³³³³³ ³³³³³³³³³³³³³³³³", + "ĠK ır", + "ĠKı r", + "çµ ¶", + "ĠоÑĢганÑĸ заÑĨÑĸÑĹ", + "ĠоÑĢганÑĸз аÑĨÑĸÑĹ", + "ĠоÑĢганÑĸза ÑĨÑĸÑĹ", + "ãģŁ ãĤĬ", + "Ø° ÙĬ", + "Ġर à¤ķ", + "amp iyon", + "Ġ æ¸ħ", + "Ġæ¸ ħ", + "çľ¼ çĿĽ", + "Ġìķ ĬìĿĢ", + "ĠìķĬ ìĿĢ", + "é¹ ¿", + "Ġ å¿ĥ", + "Ġå¿ ĥ", + "ĠпÑĢек ÑĢаÑģ", + "ĠÑģ егоднÑı", + "Ġ सल", + "Ġस ल", + "ĠÏħ ÏĢÏĮ", + "ĠÏħÏĢ ÏĮ", + "ĠÐķ го", + "ĠÐĽ и", + "ãĤ¨ ãĥ«", + "Ġл ÑİÑĤ", + "ĠлÑİ ÑĤ", + "é¥ °", + "Ġvz dál", + "¯ ÃĤ", + "Ġна Ñıв", + "Ġتش Ú©ÛĮÙĦ", + "Ġس ÙĪÛĮ", + "ĠسÙĪ ÛĮ", + "Ġt ái", + "Ġtá i", + "Ġk apı", + "Ġkap ı", + "ĠsvÄĽt ÄĽ", + "ĠsvÄĽ tÄĽ", + "δ ÏĮν", + "δÏĮ ν", + "æ¼ ¢", + "ì į¨", + "ĠbaÅŁv ur", + "ÑĢ ина", + "ÑĢи на", + "ÑĢин а", + "Ġk elim", + "Ġke lim", + "Ġkel im", + "аÑĤ ок", + "аÑĤо к", + "Ġκά θε", + "ĠYük sek", + "à¹ĩà¸Ļ à¸ľ", + "éł Ĥ", + "åIJĮ æĻĤ", + "ÅŁ tır", + "ÅŁt ır", + "ว à¸ĩศ", + "วà¸ĩ ศ", + "o ty", + "ot y", + "Ġ ارد", + "Ġا رد", + "Ġار د", + "ĠìŀIJìĭł ìĿĺ", + "ĠÑıн ва", + "üyor du", + "æĿ ¨", + "ĠâĢĵ Ċ", + "ï¼Į å®ĥ", + "е йн", + "ей н", + "ĠпеÑĢ еÑĤ", + "ĠпеÑĢе ÑĤ", + "ĠdeÄŁiÅŁik lik", + "ĠогÑĢа ниÑĩ", + "ìĦľ ìļ¸", + "Ġgel iyor", + "ĠÙ¾ Ø°ÛĮر", + "åĵ ²", + "ey in", + "eyi n", + "Ġëı Ī", + "Ġun iverz", + "Ġh ned", + "Ġhn ed", + "Ġt áºŃn", + "vo ÅĻÃŃ", + "voÅĻ ÃŃ", + "Ġn iên", + "Ġni ên", + "dÄĽ podob", + "ìĤ¬ íļĮ", + "ãģĮ ãģĤãĤĬ", + "ĠÑģ ÑĸÑĩ", + "' '\"", + "'' \"", + "Ġtop lantı", + "ĠÑģ ÑĩеÑĤ", + "ĠÑģÑĩ еÑĤ", + "åĩĨ å¤ĩ", + "ан ÑĸÑı", + "анÑĸ Ñı", + "Ġ zel", + "Ġz el", + "Ġze l", + "v ala", + "val a", + "va la", + "Ġа пп", + "Ġап п", + "ĠاÙĦÙħ ÙĦÙĥ", + "ĠاÙĦÙħÙĦ Ùĥ", + "Ġho ÅŁ", + "ĠÐĵ ен", + "ĠÐĵе н", + "ÑĤ аб", + "ÑĤа б", + "ĠÄĮesk o", + "ĠÄĮes ko", + "Ġмай же", + "ĠmÄĽ sto", + "ĠmÄĽst o", + "yo nel", + "yon el", + "ê±° 리", + "Ġìĺ¨ ëĿ¼ìĿ¸", + "ç´ ¯", + "Ġde rec", + "Ġder ec", + "Ġdere c", + "Ġок ÑĢÑĥж", + "Ġy abancı", + "Ġ íĦ°", + "ĠíĦ °", + "Ġ èµĦ", + "Ġèµ Ħ", + "ÎĻÎļ ÎĹ", + "Ġп Ñĭ", + "Ġv ÄĽn", + "ĠvÄĽ n", + "и нки", + "ин ки", + "ụ p", + "æľº 械", + "ĠìķĮ 볤", + "ëħ ķ", + "Ġ λÏĮγ", + "Ġλ ÏĮγ", + "e yn", + "ey n", + "Ġ ëIJĺìĹĪëĭ¤", + "ĠëIJĺ ìĹĪëĭ¤", + "ĠëIJĺìĹĪ ëĭ¤", + "æ± ¡", + "Ġve dle", + "Ġved le", + "ĠÙĥ تب", + "ë§ ¨", + "ĠÙħÙĤ اÙĪ", + "å¹´ ãģ«", + "ाà¤ĩ à¤ķ", + "ĠÑģÑĤ оÑģ", + "ĠÑģÑĤо Ñģ", + "ĠÏĥ ÏĦοÏħÏĤ", + "м еÑĤÑĮ", + "ме ÑĤÑĮ", + "меÑĤ ÑĮ", + "Ġes as", + "Ġesa s", + "ëIJĺ ê³ł", + "ĠkvÄĽt na", + "Ġ éľ", + "Ġé ľ", + "d ük", + "dü k", + "åŁ ·", + "è ªĮ", + "èª Į", + "Ġm luv", + "Ġml uv", + "ĠпÑĢи нÑı", + "ĠпÑĢин Ñı", + "Ġpo té", + "Ġpot é", + "ĠÚ© ÙĨÙħ", + "ĠÚ©ÙĨ Ùħ", + "ĠпÑĢед лож", + "ĠÐľÐ¾Ñģк ва", + "ï¼Į å¦Ĥ", + "Ġsv ém", + "Ġsvé m", + "Ġا ÙħÙĨ", + "ĠاÙħ ÙĨ", + "ส าย", + "ĠÑĥм енÑĮ", + "Ġ ãģĵãģ®", + "åī Ĥ", + "ĠÑģ еÑĢÑĮ", + "ĠÑģеÑĢ ÑĮ", + "Ġm á»ĩ", + "Ġmá» ĩ", + "Ġ ä¹Ŀ", + "Ġä¹ Ŀ", + "Ġза кÑĸн", + "Ġзак Ñĸн", + "Ġв елиÑĩ", + "Ġвели Ñĩ", + "Ġвел иÑĩ", + "Ġве лиÑĩ", + "Ġкон ÑĤÑĢа", + "ĠконÑĤ ÑĢа", + "ĠконÑĤÑĢ а", + "ĠS osyal", + "Ġy ukarı", + "Ġد ÙĪب", + "ĠدÙĪ ب", + "ä¾ §", + "Ġза мен", + "Ġзам ен", + "ï» ®", + "Ġso bÄĽ", + "Ġsob ÄĽ", + "ĠТак же", + "Ð İ", + "ε δ", + "Ùħ ارÛĮ", + "Ùħا رÛĮ", + "Ùħار ÛĮ", + "ξ ι", + "ì¹ Ń", + "Ġп лаÑģÑĤи", + "Ġпл аÑģÑĤи", + "Ġпла ÑģÑĤи", + "Ïĥ οÏħν", + "Ïĥο Ïħν", + "ÏĥοÏħ ν", + "èľĺèĽĽ è¯į", + "ÙĪ ÛĮزÛĮ", + "ÙĪÛĮ زÛĮ", + "Ġnap ÅĻ", + "ĠÑĤип а", + "ĠÑĤи па", + "à¥Ĥ à¤Ľ", + "ĠÅŁ ah", + "л ÑıÑĤи", + "лÑı ÑĤи", + "ب ÛĮر", + "بÛĮ ر", + "ระ ยะ", + "ĠболÑĮ ÑĪин", + "ĠболÑĮÑĪ ин", + "ÏĦη ÏĦα", + "Ġíıī ê°Ģ", + "Ġpro jev", + "Ġproj ev", + "Ġproje v", + "ò i", + "Ġк нÑı", + "ÏĨ εÏģ", + "е ÑĢÑĥ", + "еÑĢ Ñĥ", + "Ñį н", + "ĠعÙħ ÙĦÛĮ", + "ĠعÙħÙĦ ÛĮ", + "à¤ł न", + "ãĥ³ ãĤ¯", + "ĠìķĦ ëŀĺ", + "Î Ī", + "Ġب است", + "Ġبا ست", + "Ġ تÙĥ", + "Ġت Ùĥ", + "a ÄįnÃŃ", + "aÄį nÃŃ", + "ĠлÑĸ кÑĥваннÑı", + "ĠлÑĸк ÑĥваннÑı", + "à¸Ħ à¹Ĥà¸Ļ", + "Ġ èĥ½", + "Ġè ĥ½", + "Ġèĥ ½", + "θ λη", + "len miÅŁ", + "Ġl á»Ļ", + "Ġlá» Ļ", + "Ġsi lah", + "Ġsil ah", + "ĠA ustr", + "ĠAust r", + "ĠAus tr", + "ĠAu str", + "ØŃ ÙĤ", + ".*** .***", + "ì ©", + "Ġg Ãł", + "Ġباز بÛĮÙĨÛĮ", + "ĠÄij Ãłn", + "ÃŃ ky", + "ÃŃk y", + "ĠÎķ ν", + "ض Ùħ", + "å§ ĵ", + "Ġ ÙĨÙĪÛĮس", + "ĠÙĨ ÙĪÛĮس", + "ĠÙĨÙĪ ÛĮس", + "Ġskup iny", + "Ġس ÛĮد", + "ĠسÛĮ د", + "Ġal dıģı", + "Ġald ıģı", + "Ġaldı ģı", + "m eli", + "me li", + "mel i", + "в иж", + "ви ж", + "ì¹ĺ ëĬĶ", + "ов аÑħ", + "ова Ñħ", + "Ġ æ©", + "Ġæ ©", + "Ø´ÙĨ اسÛĮ", + "Ø´ÙĨاس ÛĮ", + "Ġn imi", + "Ġni mi", + "Ġnim i", + "ĠÐĵ ÑĢи", + "íĹ Į", + "Ġк в", + "éŁ ĵ", + "Ġ íĽĦ기", + "ĠíĽĦ 기", + "Ġ stÅĻÃŃ", + "Ġst ÅĻÃŃ", + "ĠstÅĻ ÃŃ", + "ĠкÑĸлÑĮ кÑĸÑģÑĤÑĮ", + "ĠBakan lıģı", + "ĠменÑĮ ÑĪе", + "ا ÙĪÛĮ", + "اÙĪ ÛĮ", + "Ġار ÙĪÙ¾", + "Ġ èī²", + "Ġèī ²", + "ĠÚ©ÙĪÚĨ Ú©", + "ĠA ynı", + "Ġ äºĨ", + "Ġس Ùģر", + "ĠسÙģ ر", + "ĠÑĤе аÑĤ", + "Ġ vÄĽd", + "ĠvÄĽ d", + "а ÑĢов", + "аÑĢ ов", + "Ġоб меж", + "ĠìķĬ ìķĺ", + "追 åĬł", + "éł Ī", + "dÄĽ lenÃŃ", + "dÄĽl enÃŃ", + "dÄĽlen ÃŃ", + "Ġk ims", + "Ġki ms", + "Ġkim s", + "Ġ èı²", + "Ġèı ²", + "Ġг ÑĢÑĥн", + "ĠгÑĢÑĥ н", + "ĠгÑĢ Ñĥн", + "ĠØ¢ ÙĦÙħاÙĨ", + "ĠØ¢ÙĦ ÙħاÙĨ", + "Ġав г", + "ĠÑī оÑģÑĮ", + "ĠÑīо ÑģÑĮ", + "Ġ å¾·", + "Ġå¾ ·", + "ĠÐĿа ÑĨÑĸоналÑĮ", + "æĪIJ ç«ĭ", + "ูà¸Ļ ย", + "ãĥ¼ ãĥ«ãĥī", + "ãĥ¼ãĥ« ãĥī", + "éĽ ²", + "ĠT á»ķ", + "cı lık", + "ĠAlma nya", + "ĠAlman ya", + "Ġov Å¡em", + " ĭ", + "ĠÏĩÏģη ÏĥιμοÏĢοι", + "Ġörg üt", + "िस स", + "èĹ Ŀ", + "ĠGi ải", + "Ġsv ob", + "Ġsvo b", + "Ġrůzn ých", + "Ġrůz ných", + "Ġsmlou vy", + "ÑĢ еÑģÑģ", + "ÑĢеÑģ Ñģ", + "ี à¹Ģà¸Ķ", + "ĠاÙħ رÙĪز", + "ĠاÙħر ÙĪز", + "ãĤ ħ", + "åĿ ¦", + "à¹ī à¸Ħ", + "Ġ каж", + "Ġк аж", + "Ġка ж", + "å¼ Ĺ", + "Ñĩ ноÑĹ", + "Ñĩно ÑĹ", + "åľ Ī", + "ĠØ¢ ÙĩÙĨÚ¯", + "ëª °", + "Ġ æº", + "Ġæ º", + "Ġ èĦ", + "Ġè Ħ", + "ä¸Ģ æŃ¥", + "оÑĩ ка", + "Ġpro stor", + "Ġpros tor", + "Ġprost or", + "Ġng ắn", + "Ġ ç·", + "Ġç ·", + "н аÑĢ", + "на ÑĢ", + "Ġà¤ľ व", + "ĠнаÑĩ алÑĮ", + "Ġне дел", + "Ġнед ел", + "ĠÑģиÑģÑĤем Ñĥ", + "ج ÙĬ", + "اد ات", + "ادا ت", + "Ġ æ¢", + "Ġæ ¢", + "ĠجاÙħ عة", + "ĠجاÙħع Ø©", + "Ġ ä»İ", + "Ġà¤ħ फ", + "èĸ Ħ", + "Ġب اÙĤ", + "Ġبا ÙĤ", + "ب ÙĬع", + "بÙĬ ع", + "ãģķ ãĤĮãģ¦", + "ãģķãĤĮ ãģ¦", + "ĠÃĩ alÄ±ÅŁ", + "Ø®ÙĪ است", + "ãĥĥ ãĤ·ãĥ¥", + "ĠØŃ Ø³ÛĮÙĨ", + "ĠØŃس ÛĮÙĨ", + "Ġоб наÑĢÑĥж", + "в Ñĸдом", + "вÑĸ дом", + "вÑĸд ом", + "Ġh ôm", + "л анд", + "ла нд", + "лан д", + "Ġव à¤ľà¤¹", + "س ÙĬÙĨ", + "سÙĬ ÙĨ", + "æł ı", + "Ġna vÃŃc", + "Ġnav ÃŃc", + "ãĤµ ãĤ¤ãĥĪ", + "ãĤµãĤ¤ ãĥĪ", + "ĠÑı комÑĥ", + "ĠÑıк омÑĥ", + "Ġí Ľ", + "ĠY ani", + "ĠYan i", + "ĠYa ni", + "ãĤĵ ãģ§ãģĻ", + "ãĤĵãģ§ ãģĻ", + "Ġг ÑĢÑĥп", + "ĠгÑĢÑĥ п", + "ĠгÑĢ Ñĥп", + "Äį ný", + "ÑĨ ик", + "ÑĨи к", + "ÙĪ ÙĬر", + "ÙĪÙĬ ر", + "Ġ Xã", + "ĠX ã", + "Ġf yz", + "Ġfy z", + "Ġ ï½ī", + "Ġï½ ī", + "âĢĮ ترÛĮÙĨ", + "âĢĮتر ÛĮÙĨ", + "à¤Ł à¤ķ", + "ÑĦоÑĢм и", + "ÑĦоÑĢ ми", + "ĠO yun", + "ĠOy un", + "åł´ æīĢ", + "ØŃ Ø«", + "ĠìķĮ ìķĦ", + "ÑĢав илÑĮ", + "ÑĢави лÑĮ", + "ï¼Į âĢĿ", + "b oru", + "bo ru", + "bor u", + "ĠK ullan", + "ĠKul lan", + "ĠKay nak", + "Ġê° ĸ", + "ç´ Ķ", + "ï¼Į æ¯ı", + "ÎĹ Î¡", + "Ġp ůl", + "Ġpů l", + "Ġг оÑģÑĤ", + "ر ÙĪÙħ", + "رÙĪ Ùħ", + "ï¼Į åį³", + "Û² Û³", + "ĠÙĨØ® ست", + "ĠÚ© سب", + "Ġ à¹Ģà¸ļ", + "Ġà¹Ģ à¸ļ", + "Ġà¹Ģภļ", + "Ġy azar", + "Ġya zar", + "Ġyaz ar", + "j ekt", + "je kt", + "à¹Ĥล ย", + "Ġдоб ÑĢе", + "Ġپزش Ú©ÛĮ", + "ĠتÙĩ ÛĮÙĩ", + "ç¾İ åľĭ", + "но ÑģÑıÑĤ", + "ноÑģ ÑıÑĤ", + "ноÑģÑı ÑĤ", + "ëłĪ ìĬ¤", + "åĹ ¯", + "Ġr Ãłng", + "ĠÎķ ξ", + "а ÑĤаÑĢ", + "аÑĤ аÑĢ", + "аÑĤа ÑĢ", + "k ova", + "ko va", + "kov a", + "ĠÅŁey ler", + "Ø® اص", + "ĠìķĪ ìłĦ", + "Ñī ей", + "Ñīе й", + "Ġë° Ŀ", + "âĢĮتÙĪاÙĨ د", + "ãģĪ ãģ°", + "Ġv ữ", + "Ġvá» ¯", + "ĠÑģ ама", + "ĠÑģам а", + "ĠобоÑĢ Ñĥд", + "Ġобо ÑĢÑĥд", + "âĢĮ باشد", + "à¹Į à¸Ń", + "Ġdet ay", + "æĤ ²", + " Ī", + "ãĤ¦ ãĤ£", + "ĠпÑĢав ила", + "ĠпÑĢави ла", + "ĠпÑĢавил а", + "kr ét", + "à¹Į ร", + "åĮ ¹", + "Ġ åħį", + "Ġå ħį", + "Ġåħ į", + "ĠÑģилÑĮ но", + "ĠиÑģ ÑĤоÑĩ", + "ĠиÑģÑĤ оÑĩ", + "ĠsaÄŁ lar", + "Ġ æѦ", + "ĠæŃ ¦", + "íĸ ĪìĬµëĭĪëĭ¤", + "íĸĪ ìĬµëĭĪëĭ¤", + "Kh ông", + "à¹Īาà¸ĩ à¹Ĩ", + "Û° Û°Û°", + "Û°Û° Û°", + "Ġ رÙĤ", + "Ġر ÙĤ", + "âĢĻ ÑıÑĤ", + "âĢĻÑı ÑĤ", + "åĽ ²", + "à¹ģ à¸Ķà¸ĩ", + "Ġžád né", + "c ouz", + "co uz", + "cou z", + "à ĭ", + "ĠпÑĸд гоÑĤов", + "Ġ ëĮĢíķĻ", + "ĠëĮĢ íķĻ", + "Ġdüny anın", + "èĢģ å¸Ī", + "èģĮ ä¸ļ", + "Ġy eri", + "Ġye ri", + "Ġyer i", + "à¥ĭ à¤ķर", + "à¥ĭà¤ķ र", + "ĠبÙĩ تر", + "ëĭĪ ìķĦ", + "ìĿĮ ìĿĦ", + "Ġ æĮĩ", + "ĠæĮ ĩ", + "ãĢį ï¼Ī", + "ĠÑģооÑĤвеÑĤÑģÑĤв ии", + "æĬ ĵ", + "à¹Ĥ à¸Ĺ", + "Ġtr á»ĵng", + "ĠпÑĢа ÑĨÑĸ", + "Ġ ëĨĵ", + "ĠëĨ ĵ", + "à¤ĩ न", + "Ġìłķ ë§IJ", + "ãĢ ķ", + "Ġc áºŃn", + "åĸ Ŀ", + "Ġê³Ħ ìĨį", + "Ġ ä¸İ", + "Ġä¸ İ", + "å¥ ı", + "Ġع اÙĦÙħ", + "Ġvys vÄĽt", + "Ġдо ÑĢог", + "ĠдоÑĢ ог", + "Ġн еÑĢв", + "ĠнеÑĢ в", + "Ġб еÑĤ", + "Ġп ÑĢиÑĤ", + "ĠпÑĢ иÑĤ", + "ĠпÑĢи ÑĤ", + "ов Ñĭй", + "å· ¡", + "Ùģ اع", + "Ðļ Ðĺ", + "à¸ķ รวà¸Ī", + "à¸ķรว à¸Ī", + "ĠÐľ ай", + "ĠÐľÐ° й", + "ëıĦ ë¡ľ", + "Ġz lat", + "ĠsaÄŁ lam", + "Ïģ αν", + "Ïģα ν", + "à¸Ĭ ร", + "å¹´ ãģ®", + "à¸Ħ รà¸Ńà¸ĩ", + "à¸Ħร à¸Ńà¸ĩ", + " ħ", + "Ġho á", + "Ġдов олÑĮно", + "Ġol maz", + "Ġolm az", + "Ġolma z", + "ĠpodmÃŃn ky", + "ĠÑħозÑı й", + "æĻ ´", + "ÑĢ ова", + "ÑĢов а", + "ÑĢо ва", + "Ġl ược", + "ान न", + "Ġкап иÑĤ", + "ĠÚĺ اÙĨ", + "æľī äºĽ", + "ĠповеÑĢÑħ ноÑģÑĤи", + "ĠÑĨ Ñĸн", + "ĠÑĨÑĸ н", + "ü yle", + "üy le", + "Ġj azy", + "Ġja zy", + "Ġjaz y", + "ĠPh ú", + "Ġ सन", + "Ġस न", + "åĩº åĶ®", + "Âł д", + "Ġ ãĤ¯", + "ĠãĤ ¯", + "çĶ± äºİ", + "à¥į पत", + "à¥įप त", + "ĠاÙĦØ® اÙħ", + "Ġاص ÙĦاØŃ", + "ĠاصÙĦ اØŃ", + "Ġ تÛĮ", + "Ġت ÛĮ", + "Ġt ato", + "Ġta to", + "Ġtat o", + "å¹ ¹", + "æ³ ½", + "à¸Ńà¸ģ à¸Īาà¸ģ", + "Ñĥ лÑİ", + "Ñĥл Ñİ", + "Ġв Ñģп", + "ĠвÑģ п", + "m ekte", + "me kte", + "mek te", + "à¥Ģ फ", + "ĠÚĺ ÙĪئ", + "Ġl á»ĩnh", + "Ġlá»ĩ nh", + "âĢĮ کرد", + "âĢĮÚ© رد", + "íı¬ ì¸ł", + "an ki", + "ank i", + "Ġëĵ±ë¡Ŀ ëĮĢíĸī", + "Ġ ãĤĿ", + "ĠãĤ Ŀ", + "Ġار زش", + "Ġارز Ø´", + "Ġth ú", + "Ġ ấn", + "è¡Į 为", + "ĠÑģ нова", + "ê ¾¸", + "Ġsou hlas", + "Ġв озв", + "Ġвоз в", + "Ġво зв", + "ÏģÎŃ ÏĢει", + "ĠнÑĸ Ñĩого", + "ĠнÑĸÑĩ ого", + "н ож", + "но ж", + "ÑĤ ик", + "ÑĤи к", + "ãģ© ãģĵ", + "ĠоÑģнов е", + "ãĤ ¥", + "à¸Ľà¸£à¸° à¸Īำ", + "Ġ à¸Ĺà¸Ńà¸ĩ", + "Ġà¸Ĺ à¸Ńà¸ĩ", + "Ġek sik", + "Ġeks ik", + "ĠÙĦ Ø¥", + "ãģĭ ãģ®", + "Ġ ãģª", + "- प", + "Ïģ ει", + "Ïģε ι", + "ĠìłĦ 문", + "า à¸ģล", + "าà¸ģ ล", + "β ε", + "íĬ¹ ë³Ħ", + "íķĺ ë©´ìĦľ", + "íķĺë©´ ìĦľ", + "à¸Ħà¹Ĥà¸Ļ à¹Ĥลย", + "Ġ 好", + "Ġå¥ ½", + "Ġy ayım", + "Ġyay ım", + "ë§Į ëĤ¨", + "ĠкиÑģ лоÑĤ", + "ĠкиÑģл оÑĤ", + "ĠÑį неÑĢг", + "çĸ ¾", + "Ġد Ø´", + "Ġsor uml", + "Ġsoru ml", + "Ġза клад", + "Ġзак лад", + "à¸Ĭ à¸Ńà¸ļ", + "ĠÙģرÙĩÙĨÚ¯ ÛĮ", + "Ġà¤ı ल", + "Ġë¹Ħ êµIJ", + "l erce", + "ler ce", + "Ġ Ø·ÙĦب", + "ĠØ· ÙĦب", + "ĠØ·ÙĦ ب", + "ãģ« ãģĹãģ¦", + "ĠÑı коÑĹ", + "ĠÑıк оÑĹ", + "ĠاÙĦب تÙĩ", + "ĠÐľ аÑĤ", + "ĠÐľÐ° ÑĤ", + "åį ĵ", + "Ġ åħ¬åı¸", + "Ġåħ¬ åı¸", + "Ġsöy ley", + "Ġsöyl ey", + "ĠìĥĪ ë¡ľìļ´", + "ĠÑĦ аÑĢ", + "Ġalt ına", + "Ġaltın a", + "Ġaltı na", + "Ġsta vu", + "Ġstav u", + "âĢĻ ı", + "al izace", + "aliz ace", + "Ġви ÑģÑĤÑĥп", + "æķĻ å¸Ī", + "à¥Ģ à¤ıस", + "à¥Ģà¤ı स", + "o dÄĽ", + "od ÄĽ", + "ĠÑĨ Ñĸл", + "ĠÑĨÑĸ л", + "ĠëĮĢ ìĥģ", + "ĠкоÑĤоÑĢ ом", + "ĠкоÑĤ оÑĢом", + "Ġظ رÙģ", + "éİ ®", + "اÙģ ÙĬØ©", + "اÙģÙĬ Ø©", + "Ġ ìĹĨìĿ´", + "ĠìĹĨ ìĿ´", + "ĠμÏĮ νο", + "ĠC Æ¡", + "å¯ »", + "ÏĦ ιÏĥ", + "ÏĦι Ïĥ", + "Ġ ãĤĦ", + "ĠãĤ Ħ", + "Ġjed noho", + "Ġjedn oho", + "Ġjedno ho", + "ا ا", + "Ø§Ø §", + "et ler", + "Ġव स", + "ĠÑĢазлиÑĩ нÑĭÑħ", + "Ġج غراÙģ", + "Ġth ừa", + "Ġthá» «a", + "ĠгÑĢомад Ñıн", + "ॠ°", + "ĠاÙĦØ£ Ø®", + "Ġнаг ÑĢÑĥз", + "ç¸ ¾", + "à¥Ĥ ह", + "ĠпÑĢÑıм о", + "â Ĭ", + "ĠاÙĦØ£ÙĪÙĦ Ùī", + "æĸ° èģŀ", + "Ġìĥģ íĻ©", + "it esi", + "ite si", + "ites i", + "ëį° ìĿ´íĬ¸", + "æŃ ·", + "ï¼ĮèĢĮ ä¸Ķ", + "ãģ¯ ãģļ", + "产 çĶŁ", + "æ°Ĺ ãģĮ", + "y slu", + "ys lu", + "ysl u", + "ìĸ´ ëĤĺ", + "ا Ú©Ùħ", + "اک Ùħ", + "âĢ ĥ", + ") ìĿĢ", + "Ġجست ارÙĩاÛĮ", + "ÙĪ Ø«", + "ãħ İ", + "Ġkav ram", + "v ál", + "vá l", + "æľ Ń", + "æĤ ł", + "ìħ Ģ", + "h rad", + "hr ad", + "hra d", + "Ġت ÙĥÙĪÙĨ", + "ĠتÙĥ ÙĪÙĨ", + "ĠH òa", + "å¹´ çļĦ", + "Ġç arp", + "Ġça rp", + "Ġy olu", + "Ġyo lu", + "Ġyol u", + "Ġdub na", + "ĠÐĴ елик", + "ĠÐĴели к", + "Ġt ôn", + "Ġtô n", + "æ ķĮ", + "æķ Į", + "Ġc oi", + "Ġco i", + "Ġnak onec", + "ĠÑį ÑĤÑĥ", + "ĠÑįÑĤ Ñĥ", + "íĨµ ëł¹", + "ÑĪ ел", + "ÑĪе л", + "Ġneb yl", + "Ġneby l", + "in ç", + "ب اÙĦØ¥ÙĨجÙĦÙĬزÙĬØ©", + "باÙĦ Ø¥ÙĨجÙĦÙĬزÙĬØ©", + "ï¼ ¡", + "о нÑĮ", + "он ÑĮ", + "Ġне маÑĶ", + "Ġнем аÑĶ", + "Ġê³ł ê°Ŀ", + "ĠÙĤ طع", + "ĠÙĤØ· ع", + "ĠÑĤеÑĢиÑĤоÑĢ ÑĸÑĹ", + "人 ãģ¯", + "ĠΣ α", + "éĤ£ äºĽ", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ios per", + "í Ĥ¨", + "íĤ ¨", + "r aki", + "ra ki", + "rak i", + "اÛĮ ج", + "Âł C", + "Ġан алÑĸз", + "ãĤı ãĤĬ", + "ĠìķĦëĭ Į", + "ĠاÙĦعÙħÙĦ ÙĬØ©", + "ĠاÙĦعÙħ ÙĦÙĬØ©", + "l ament", + "la ment", + "lam ent", + "é» ¨", + "u jÃŃcÃŃm", + "ujÃŃ cÃŃm", + "ujÃŃcÃŃ m", + "Ġr ẻ", + "ä¸į åĪ°", + "Ġrez erv", + "ĠاÙĦØ° ÙĬÙĨ", + "ĠاÙĦØ°ÙĬ ÙĨ", + "æĭ ¥", + "Ðĺ н", + "Ġतह त", + "r esi", + "re si", + "res i", + "Ġ ãĥ¢", + "Ġãĥ ¢", + "л ев", + "ле в", + "ãĢĢ r", + "Ġ ä»Ĭ", + "Ġö dem", + "Ġpot rav", + "ĠêµIJ ìĪĺ", + "ÑĢ еди", + "ÑĢед и", + "ÑĢе ди", + "ĠÎļ ÎijÎĻ", + "Ġ наÑĩала", + "ĠнаÑĩ ала", + "Ġиз б", + "ĠbÅĻez na", + "Ġle dna", + "Ġled na", + "ÑĢ ÑĥÑİÑĤ", + "ÑĢÑĥ ÑİÑĤ", + "Ġ моÑĤ", + "Ġм оÑĤ", + "Ġмо ÑĤ", + "åıĹ åĪ°", + "ĠÑĢÑĥ кÑĥ", + "ĠÑĢÑĥк Ñĥ", + "Ỽ m", + "ad ele", + "ade le", + "adel e", + "ĠÑĢоз глÑı", + "åħ IJ", + "Ġر ÙĪاÙĨ", + "ĠرÙĪ اÙĨ", + "а ков", + "ак ов", + "Ñĥ ÑĢÑĭ", + "ÑĥÑĢ Ñĭ", + "Ġaz al", + "ĠÑĥ кÑĢа", + "ĠÑĥк ÑĢа", + "пи он", + "ĠÄįlov ÄĽ", + "äºĮäºĮ äºĮäºĮ", + "ا بÙĬ", + "اب ÙĬ", + "Ġas lında", + "ë¹ Ī", + "Ġв ÑĢаÑĩ", + "ĠвÑĢа Ñĩ", + "ë£ ¹", + "Ġген еÑĢа", + "à¸ģาร ส", + "ĠÑģов Ñģем", + "ÙĪ ÙĦا", + "ÙĪÙĦ ا", + "Ġश ब", + "ाà¤ĸ ण", + "ست اÙĨÛĮ", + "ستاÙĨ ÛĮ", + "æĬ ½", + "Ġrů z", + "ĠíĮIJ 매", + "à¸ģาร à¸ķ", + "ائ ÛĮ", + "a sal", + "as al", + "asa l", + "ĠÑĢабоÑĤ Ñĥ", + "ĠÑĢаб оÑĤÑĥ", + "ĠÑĢабо ÑĤÑĥ", + "à¥ĭल न", + "Ġ 马", + "Ġé© ¬", + "Ġl ai", + "Ġla i", + "ó i", + "v ap", + "va p", + "ëħĦ ìĹIJëĬĶ", + "ëħĦìĹIJ ëĬĶ", + "ĠпеÑĢед баÑĩ", + "Ġп леÑĩ", + "Ġпл еÑĩ", + "id det", + "idd et", + "ĠÑĩ оÑĢ", + "i yan", + "iy an", + "iya n", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ĠãĢĢ", + "ĠØŃر ÙģÙĩ", + "ĠØŃرÙģ Ùĩ", + "大 éĺª", + "Ñĩ ого", + "Ġ ки", + "Ġк и", + "ا ÙĪÙĬ", + "اÙĪ ÙĬ", + "ĠbaÅŁ lan", + "Ġmerk ezi", + "Ġmerkez i", + "© ©", + "Ġر است", + "Ġرا ست", + "Ġ ëĬĶ", + "ĠëĬ Ķ", + "ĠÑģ ÑĢав", + "ĠвнÑĥ ÑĤÑĢи", + "ĠвнÑĥÑĤÑĢ и", + "ĠвнÑĥÑĤ ÑĢи", + "ãĢĢ ãĥİ", + "åĿ Ľ", + "Ġв ÑĤ", + ": :/", + ":: /", + "Ġsöz leÅŁ", + "Ġver diÄŁi", + "Ġverdi ÄŁi", + "ิ ยม", + "ิย ม", + "ĠÐŁ ÑĢоÑĤ", + "ĠÐŁÑĢ оÑĤ", + "ĠÐŁÑĢо ÑĤ", + "Ùĥ ار", + "Ġب ÙĨدÛĮ", + "ĠبÙĨ دÛĮ", + "ĠبÙĨد ÛĮ", + "Ùı ÙĪ", + "缴 æĴŃ", + "ĠÙħ ÙĦÙĬ", + "ĠÙħÙĦ ÙĬ", + "Ġnut né", + "ะà¹ģ à¸Ļà¸Ļ", + "ĠM ã", + "Ġ ì´", + "Ġì ´", + "à¹Ī าม", + "à¹Īา ม", + "м оÑģ", + "мо Ñģ", + "Ġпо Ñıви", + "ĠпоÑıв и", + "Ġn ghi", + "Ġng hi", + "Ġngh i", + "Ġ ëIJĺëĬĶ", + "ĠëIJĺ ëĬĶ", + "Ñģ клад", + "Ñģк лад", + "à¤Ĺ ल", + "ĠC á»Ļng", + "çŁ¥ è¯Ĩ", + "Ġ taj", + "Ġt aj", + "Ġta j", + "Ġع بر", + "Ġعب ر", + "éĻĦ è¿ij", + "ü ÄŁ", + "Ġê³µ ê³ł", + "è£ ķ", + "âĢĮ Ø´ÙĨ", + "âĢĮØ´ ÙĨ", + "Ġgerç ekten", + "Ġgerçek ten", + "n un", + "nu n", + "Ùħ Ø´", + "ê°Ģ ëĬ¥", + "ãĥ© ãĥ³ãĥī", + "ãĥ©ãĥ³ ãĥī", + "ay acak", + "aya cak", + "åįģ ä¸Ģ", + "ĠB ảo", + "Ġyet erli", + "Ġyeter li", + "ž iv", + "ži v", + "ĠÙĬÙĨ اÙĬر", + "Ġb ýval", + "Ġbý val", + "ìĽĶ ê¹Įì§Ģ", + "Ġn ợ", + "Ġ ê´Ģê³Ħ", + "Ġê´Ģ ê³Ħ", + "Ġ íĿ¬", + "ĠíĿ ¬", + "а ÑİÑĤÑĮ", + "аÑİÑĤ ÑĮ", + "аÑİ ÑĤÑĮ", + "Ġgö tür", + "Ġваж но", + "Ġва жно", + "æµ ©", + "ĠìĿ¼ ë¶Ģ", + "ÑĨÑĸй ний", + "ëł¥ ìĿĦ", + "Ġл еÑĩение", + "ĠлеÑĩ ение", + "éĸ¢ ä¿Ĥ", + "ĠT üm", + "ìĻ Ķ", + "éģ Ĺ", + "ĠD ön", + "Ġ ÑģпÑĸлÑĮ", + "ĠÑģп ÑĸлÑĮ", + "ĠÑģпÑĸл ÑĮ", + "ãĥģ ãĤ§", + "н ÑıеÑĤÑģÑı", + "нÑı еÑĤÑģÑı", + "нÑıеÑĤ ÑģÑı", + "il tere", + "ilter e", + "ilt ere", + "Ġ íĮĢ", + "Ġí ĮĢ", + "ĠíĮ Ģ", + "è¨Ń å®ļ", + "Ġro din", + "Ġrod in", + "Ġrodi n", + "ĠاÙĤتص اد", + "алÑĮ не", + "à¥į à¤ķर", + "à¥įà¤ķ र", + "Ġvý bÄĽ", + "Ġteh lik", + "âĶ IJ", + "Ġ çĶ°", + "Ïģί ÏĤ", + "iy el", + "iye l", + "Ġth iá»ĩu", + "Ġthi á»ĩu", + "ÏĪ ηÏĤ", + "ÏĪη ÏĤ", + "Ġд ве", + "Ġдв е", + "ĠEl ekt", + "ĠEle kt", + "à¸ģ à¸İ", + "о ÑĢÑĥж", + "оÑĢ Ñĥж", + "оÑĢÑĥ ж", + "a ÅŁÄ±", + "aÅŁ ı", + "è© ³ç´°", + "Ġات ÙģاÙĤ", + "Ġg ắn", + "æ²Ĵ æľī", + "ĠÙħطاÙĦ عÙĩ", + "ÏĦ ιν", + "ÏĦι ν", + "Ġok res", + "Ñ ľ", + "ê° Ķëĭ¤", + "Ðł оз", + "å¾ĭ 宾", + "ï¼ī ï¼Ī", + "Ġìļ´ìĺģ ìŀIJ", + "ãĤ« ãĥĨ", + "l aÄį", + "la Äį", + "à¥ĩब स", + "Ġo Äįi", + "ĠoÄį i", + "- б", + "e lerden", + "eler den", + "elerde n", + "k ových", + "kov ých", + "kový ch", + "ĠÄ°z mir", + "สม าà¸Ĭ", + "lad atel", + "Ġ æ»", + "Ġæ »", + "éĶĢ åĶ®", + "ĠдоÑģлÑĸд женнÑı", + "ĠлÑĸ каÑĢ", + "ĠлÑĸка ÑĢ", + "ĠлÑĸк аÑĢ", + "Ġодна ко", + "ĠV ác", + "Ġ è«", + "Ġè «", + "éĢ² è¡Į", + "以 å¤ĸ", + "é³ ¥", + "Ġ ÙĨج", + "ĠÙĨ ج", + "ĠbaÅŁ kan", + "ĠbaÅŁka n", + "ĠbaÅŁk an", + "Ġopat ÅĻenÃŃ", + "ا رش", + "ار Ø´", + "ض اÙģØ©", + "ضا ÙģØ©", + "ãĤ¹ ãĥ¬", + "ή ν", + "ÄĽ tÃŃ", + "ÄĽt ÃŃ", + "ว ย", + "Ġرس ÙĪÙĦ", + "ÅĻ ich", + "ÅĻi ch", + "ĠpÅĻ ih", + "ĠpÅĻi h", + "ÑĮ ми", + "çĦ¶ èĢĮ", + "Ġth ẳng", + "l amaz", + "la maz", + "lam az", + "lama z", + "ÙĢ ÙĢÙĢ", + "ÙĢÙĢ ÙĢ", + "Ġì°¸ ìŬ", + "ĠÙĨÙĪ شتÙĩ", + "ĠÙĨÙĪØ´ تÙĩ", + "ĠÑģÑĤ ек", + "ãģ® ãģ¿", + "ĠÙĪ اÙĦع", + "ĠÙĪاÙĦ ع", + "ĠÙĪا ÙĦع", + "æķ ¢", + "à¥Ģà¤Ĥ ,", + "ÐŀÑģ нов", + "им оÑģÑĤи", + "имо ÑģÑĤи", + "ĠÄĮesk á", + "ĠÄĮes ká", + "Ñĸ Ñĩний", + "ÑĸÑĩ ний", + "าม ารà¸ĸ", + "ekk ür", + "Âł h", + "ι κη", + "ικ η", + "Ġتع ÛĮÛĮÙĨ", + "к оÑģÑĤÑĸ", + "ко ÑģÑĤÑĸ", + "ĠMust afa", + "Ġì¦ ī", + "ãģ§ ãģĤãĤĬ", + "ãģ§ãģĤ ãĤĬ", + "å·¥ ä¸ļ", + "ov ÃŃd", + "ovÃŃ d", + "ÐĿ о", + "Ġس پس", + "Ġسپ س", + "Ú¯ÛĮ رد", + "Ú¯ÛĮر د", + "Ġп едагог", + "Ġ کارÛĮ", + "ĠÚ© ارÛĮ", + "Ġکار ÛĮ", + "ĠÑĪ ÑĤÑĥ", + "ĠÑĪÑĤ Ñĥ", + "æĮ Ĥ", + "Ø¢ Ùħد", + "Ø¢Ùħ د", + "羣 æĺ¯", + "Ġ ابت", + "Ġا بت", + "Ġاب ت", + "Ġرئ ÛĮس", + "Ġد ÛĮÙĨ", + "ĠدÛĮ ÙĨ", + "ÏĪ ε", + "Ġse zon", + "Ġsez on", + "Ġ çĨ", + "Ġç Ĩ", + "स न", + "ãĥ» ãĤ¢", + "Ġ åħŃ", + "Ġåħ Ń", + "Ġ è±", + "Ġè ±", + "Ġìłľ 목", + "ĠÙħ عد", + "ĠÙħع د", + "ĠÙģ ÙĤد", + "ĠÙģÙĤ د", + "éĤ Ĭ", + "Ω Σ", + "Ġ å¡", + "Ġå ¡", + "Ġob vyk", + "ĠìĿ´ ëłĩê²Į", + "ĠбоÑĢ оÑĤÑĮ", + "Û² Û±", + "Ġ á»ijng", + "Ġá» ijng", + "è¯ Ĺ", + "Ġ ÄIJá»iji", + "ĠÄIJ á»iji", + "ĠбеÑĢез нÑı", + "Ġs oÄŁ", + "Ġso ÄŁ", + "Ġ ï¾į", + "Ġï¾ į", + "ãĤĴ ãģ¤", + "ãģĹ ãĤĥ", + "еÑĢ еÑĩ", + "еÑĢе Ñĩ", + "ãĢĢ ãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ãĢĢãĢĢĠ ãĢĢĠãĢĢĠãĢĢ", + "æĪ ª", + "ĠاÙĦسعÙĪد ÙĬØ©", + "ĠëĤ¨ ìŀIJ", + "ĠAng iosper", + "???????? ????????", + "Ġpr ům", + "Ġprů m", + "ĠплоÑī ад", + "Ġ ÏĦÏģα", + "ĠÏĦ Ïģα", + "д аÑİÑĤ", + "да ÑİÑĤ", + "Ġsı nav", + "Ġsın av", + "Ġm ặc", + "æ°´ å¹³", + "Ġви глÑı", + "Ġвиг лÑı", + "Ġn ást", + "Ġná st", + "Ġnás t", + "ĠобÑĭ Ñĩ", + "ĠìĿ´ìķ¼ 기", + "ë¹ Ľ", + "ĠB aÄŁ", + "ĠBa ÄŁ", + "ĠاÙĦØ« اÙĦØ«", + "Ġser vis", + "Ġserv is", + "Ġservi s", + "Ġ 룬", + "ĠëŁ ¬", + "ом ина", + "ί θ", + "Ġ Ấ", + "ĠẠ¤", + "ê²½ 기", + "Ġì¡ ¸", + "ี à¸ļ", + "Ġà¤ĺ à¤Łà¤¨", + "Ġ à¸Ļาà¸ĩ", + "Ġà¸Ļ าà¸ĩ", + ". Îł", + "ìķ ķ", + "r ün", + "Ġon ların", + "Ġonları n", + "Ġonlar ın", + "Ġзб ÑĸлÑĮÑĪ", + "à¹ģ à¸Ł", + "ĠìŬ 기", + "Ġ ëĮĢíijľ", + "ĠëĮĢ íijľ", + "ĠÑģи лÑĥ", + "ĠÑģил Ñĥ", + "à¹Ĥ à¸Ľ", + "Ġت ÙĤد", + "ĠتÙĤ د", + "ĠÐŁ ом", + "ĠÐŁÐ¾ м", + "ĠмаÑģ ла", + "Ġ ìĺģìĥģ", + "Ġìĺģ ìĥģ", + "н ение", + "не ние", + "нен ие", + "λα μβ", + "ĠB yl", + "ĠBy l", + "æĬ µ", + "æİ ª", + "Ġκαθ ÏİÏĤ", + "m ızı", + "æĸ° çļĦ", + "éĩį è¤ĩ", + "ั à¸Ľ", + "çŃ Ĩ", + "ĠÑĤ ка", + "ĠзнаÑĩ еннÑı", + "Ġзна ÑĩеннÑı", + "л аÑĤи", + "ла ÑĤи", + "лаÑĤ и", + "Ġv liv", + "Ġvl iv", + "ÐIJ н", + "ĠÚĨ اپ", + "ĠпиÑĤ анÑĮ", + ": ï½ī", + "æķĻ æİĪ", + "Ġì¹ľ 구", + "Ġtr ao", + "Ġtra o", + "à¥įयà¤ķ त", + "ุà¸Ħ à¸Ħล", + "ĠرÙĪ Ø´ÙĨ", + "ĠرÙĪØ´ ÙĨ", + "ĠعÙĦÙĬ Ùĩا", + "ĠعÙĦÙĬÙĩ ا", + "ãĢģ ãģĦ", + "ëħĦ ìĹIJ", + "éĢ Ĩ", + "Ġмаг аз", + "ï¾ŀ ï¾ŀ", + "Ġs ice", + "Ġsi ce", + "Ġsic e", + "âĢĻ te", + "âĢĻt e", + "ĠاÙĦÙĦ غة", + "á u", + "èĩª 身", + "Ġng Å©", + "ĠÑģк ладÑĥ", + "ĠÑģклад Ñĥ", + "Ġz ru", + "Ġtr uy", + "Ġ ilan", + "Ġi lan", + "Ġil an", + "ĠÙ¾ اÛĮÙĩ", + "ĠپاÛĮ Ùĩ", + "Ġپا ÛĮÙĩ", + ": :::::::::::::", + ":: ::::::::::::", + ":::: ::::::::::", + ":::::: ::::::::", + ":::::::: ::::::", + "::: :::::::::::", + "::::: :::::::::", + "::::::: :::::::", + "::::::::: :::::", + ":::::::::: ::::", + "::::::::::: :::", + ":::::::::::: ::", + "::::::::::::: :", + "f ak", + "fa k", + "ÑĤ еÑħ", + "ÑĤе Ñħ", + "Ġt aky", + "Ġta ky", + "Ġtak y", + "Ġìĸ¸ ìĸ´", + "ed enÃŃ", + "eden ÃŃ", + "ede nÃŃ", + "Ġà¤ļ लत", + "Ġà¤ļल त", + "Ġë°° ìļ°", + "Ġjmé no", + "ĠÙĦ Ø£ÙĨ", + "ĠÙĦØ£ ÙĨ", + "α νά", + "αν ά", + "к ÑĥлÑĮ", + "кÑĥ лÑĮ", + "кÑĥл ÑĮ", + "ĠØŃÙģ ظ", + "ĠآزÙħ ÙĪÙĨ", + "иÑĤелÑĮ нÑĭе", + "ĠÐŀ лекÑģанд", + "èį £", + "Ġà¤ľà¤¬ à¤ķ", + "Ġr odi", + "Ġro di", + "Ġrod i", + "Ġبرخ ÙĪرد", + "Ġhaf ta", + "Ġhaft a", + "λ ικά", + "λι κά", + "λικ ά", + "à¸ķ à¸Ļ", + "ĠбеÑĢ ег", + "αν δ", + "- С", + "Ġprav idel", + "ĠбÑĸ лÑı", + "ĠбÑĸл Ñı", + "íĴ į", + "ĠпÑĢед ÑĥÑģ", + "ĠмÑĥ ниÑĨип", + "åĮĸ åѦ", + "ĠتÙħ اس", + "Ġà¤ī ल", + "Ðĵ Ðŀ", + "غ ر", + "r adan", + "ra dan", + "rad an", + "rada n", + "ĠëĤĺ ìĺ¤", + "è¨ Ĥ", + "à¹Ģà¸ĺ à¸Ń", + "âĢĮ سÛĮ", + "âĢĮس ÛĮ", + "ĠобÑıз аÑĤелÑĮно", + "ĠобÑıзаÑĤелÑĮ но", + "о ÑĤе", + "оÑĤ е", + "à¹Į à¸Ĭ", + "çĶ¨ çļĦ", + "Ġalt ın", + "Ġaltı n", + "ĠÑģоÑĤ ÑĢÑĥд", + "Ñĸ нки", + "Ñĸн ки", + "озмож но", + "Î IJ", + "ë¹ Į", + " ķ", + "ĠÑĤ оÑĩно", + "ĠÑĤо Ñĩно", + "ĠÑĤоÑĩ но", + "Ġj men", + "Ġjm en", + "اÙĦ ÛĮا", + "اÙĦÛĮ ا", + "èĪ į", + "ch odu", + "cho du", + "chod u", + "ê³ ¤", + "ick ém", + "ické m", + "ĠÙħ ÙĪر", + "ĠÙħÙĪ ر", + "ãĥª ãĥ³ãĤ¯", + "ãĥªãĥ³ ãĤ¯", + "Ġa ÅŁam", + "ĠaÅŁ am", + "Ġ иÑĤ", + "Ġи ÑĤ", + "Ġन य", + "Ġ μο", + "Ġμ ο", + "éķ ľ", + "ĠبÙĨ ابر", + "ĠبÙĨا بر", + "Ġت خصص", + "Ġส à¸ŀ", + "ĠпÑĢоÑĦеÑģ Ñģи", + "Ġp uan", + "Ġpu an", + "ĠÙģر ÙħاÙĨ", + "ĠÙģرÙħ اÙĨ", + "ëĮĢ íļĮ", + "Ġп ÑıÑĤ", + "ĠÙħ ÙĪب", + "ĠÙħÙĪ ب", + "ĠvÄĽ ku", + "Ġ ëĥ", + "Ġë ĥ", + "ec ký", + "eck ý", + "ĠìĪĺ ëıĦ", + "Ġth ao", + "Ġtha o", + "Ġk apat", + "Ġka pat", + "Ġkap at", + "ĠзаÑħ воÑĢÑİ", + "Ġ åħī", + "Ġåħ ī", + "ر اÙĨÛĮ", + "راÙĨ ÛĮ", + "را ÙĨÛĮ", + "éĢł æĪIJ", + "ĠÑģв Ñĸй", + "ĠдоÑģ иÑĤÑĮ", + "Ġmil yar", + "Ġener ji", + "Ġenerj i", + "Ġк ип", + "Ġки п", + "Ġì¢ĭ ìķĦ", + "Ġب Ø¥", + "ê²Į ìĭľ", + "ĠL Æ°u", + "ĠÙħÙĨظ ÙĪر", + "Ïī μά", + "ζ ί", + "ım da", + "Ġ ìĿ´ë¥¼", + "ĠìĿ´ 를", + "๠Ĵ", + "Ġв важ", + "Ġвв аж", + "Ġga zet", + "Ġgaze t", + "Ġgaz et", + "à¥įत न", + "à¹īำ หà¸Ļ", + "åľŁ åľ°", + "Ġसद स", + "ت بة", + "تب Ø©", + "Ġpo ÄįÃŃta", + "Ġìĭľ ìĬ¤íħľ", + "ร à¸Ħ", + "Ġed ecek", + "ĠتØŃ ÙĦÛĮÙĦ", + "æĮī çħ§", + "åĿ ª", + "Ġê·¸ ê°Ģ", + "ت ÙĩÙħ", + "تÙĩ Ùħ", + "Ġб аж", + "Ġба ж", + "ا Ùģع", + "اÙģ ع", + "éĢļ 常", + "ĠТ и", + "γ νÏī", + "ì¹ Ļ", + "Ġznam ená", + "ï¼¼ ï¼¼", + "α ÏĢÏĮ", + "åĨĻ 羣", + "Ġ ï¼¼Ċ", + "Ġï¼¼ Ċ", + "åĬł å·¥", + "èĤ¡ä»½ æľīéĻIJåħ¬åı¸", + "Ñı ÑĤий", + "ÑıÑĤ ий", + "ÑıÑĤи й", + "Ġh âl", + "Ġç ab", + "Ġça b", + "ĠØŃ Ø§Ø¶Ø±", + "P ÅĻ", + "ĠاÙĦ تÙĤ", + "ĠاÙĦت ÙĤ", + "ξ ηÏĤ", + "ξη ÏĤ", + "б е", + "Ġkh ám", + "Ġkhá m", + "Ġ âĮĴ", + "Ġâ ĮĴ", + "Ġ éķ¿", + "Ġéķ ¿", + "Ġ âĢ¦Ċ", + "ĠâĢ¦ Ċ", + "द म", + "ĠSt udi", + "ĠStud i", + "Ġk odu", + "Ġko du", + "Ġkod u", + "Ġkom unik", + "Ġkomun ik", + "Ġkat kı", + "n ete", + "ne te", + "net e", + "Ġr apor", + "Ġrap or", + "Ġra por", + "éĨ ´", + "ãĤī ãģĽ", + "ĠнеÑģк олÑĮ", + "Ġhá»į p", + "ï¿£ ￣￣", + "￣￣ ï¿£", + "º ¼", + "è£ Ĥ", + "ед ÑĮ", + "Ġا ÙĦاØŃ", + "ĠاÙĦ اØŃ", + "l adık", + "la dık", + "lad ık", + "ladı k", + "Ġfot oÄŁraf", + "æĹ¥ ãģ®", + "ĠØŃ Ø§ÙĦت", + "ĠØŃاÙĦ ت", + "ĠØ« ÙĦاث", + "а ÑĤов", + "аÑĤ ов", + "аÑĤо в", + "ey se", + "Ġê°IJ ìĤ¬", + "á že", + "áž e", + "Ġн ада", + "Ġна да", + "Ġнад а", + "Ġà¤ķ हन", + "Ġà¤ķह न", + "Ġ ãĥĿ", + "Ġãĥ Ŀ", + "ãģ« ãģĤãĤĭ", + "ãģ«ãģª ãģ£ãģ¦", + "ÙĪ دÙĩ", + "ÙĪد Ùĩ", + "Ġpo Å¡k", + "太 éĺ³åŁİ", + "ç»ı éªĮ", + "æĴŃ æĶ¾", + "Ġma jet", + "Ġmaj et", + "Ñħ о", + "ĠÑĤ еÑģÑĤ", + "ĠÑĤе ÑģÑĤ", + "ï¼ı Ċ", + "Ïĥε ÏĦε", + "ĠТ омÑĥ", + "ĠТо мÑĥ", + "ĠТом Ñĥ", + "Ùİ ØŃ", + "ĠìŀĪ ìľ¼ë©°", + "Ġза знаÑĩ", + "éļ IJ", + "Ġд ÑĸÑĹ", + "ĠдÑĸ ÑĹ", + "к ÑĤив", + "кÑĤ ив", + "кÑĤи в", + "ÙĪ ÙģÙĬ", + "ÙĪÙģ ÙĬ", + "Ġt á»Ŀ", + "Ġtá» Ŀ", + "à¸¹à¸Ľ à¹ģà¸ļà¸ļ", + "ĠÑĢ едак", + "ĠÑĢед ак", + "Ġa teÅŁ", + "Ġat eÅŁ", + "Ġate ÅŁ", + "Ġkh iá»ĥn", + "Ġkhi á»ĥn", + "ü ny", + "ün y", + "ี ยà¸ģ", + "ีย à¸ģ", + "ĠÑĩа Ñīе", + "Ġt uy", + "Ġtu y", + "γ Ïīν", + "γÏī ν", + "ร à¸Ńà¸ļ", + "Ġtr ùng", + "à¹ģà¸Ĺ à¸Ļ", + "Ġα κÏĮ", + "Ġακ ÏĮ", + "ĠÐĴеÑĢ Ñħов", + "à¹ĥ à¸Ļส", + "à¹ĥà¸Ļ ส", + "ãĢģ ä½ķ", + "åĩ ¦", + "Ġ ç»ı", + "Ġç» ı", + "æ¨ ĵ", + "اÙĨÚ¯ ÙĦÛĮسÛĮ", + "Ġ lepÅ¡ÃŃ", + "Ġlep Å¡ÃŃ", + "Ġ å¼Ģå§ĭ", + "Ġå¼Ģ å§ĭ", + "éĻ º", + "ĠÑĩ еÑĤÑĭ", + "ĠÑĩеÑĤ Ñĭ", + "ĠС еÑĢ", + "оÑİ Ð·", + "Ġx ung", + "Ġxu ng", + "åĵģ çīĮ", + "Ġìĥģ íĥľ", + "ĠÙĨ صب", + "ĠÙĨص ب", + "ĠÑĩ омÑĥ", + "Ġتر Ú©ÛĮ", + "Ġترک ÛĮ", + "- ли", + "o vÃŃ", + "ov ÃŃ", + "Ġا ÙĨج", + "ĠاÙĨ ج", + "çµ ¡", + "Ġت ÙĪص", + "ĠتÙĪ ص", + "Ġ ì¿ł", + "Ġì ¿ł", + "Ġvar sa", + "Ġva rsa", + "Ġvars a", + "ĠÑĢаз ÑĢабоÑĤ", + "à¸Ĥ à¸Ńà¸ĩà¸Ħ", + "à¸Ĥà¸Ńà¸ĩ à¸Ħ", + "éŃ Ĥ", + "Ġà¤Ĭ पर", + "æĿ¥ 说", + "ĠÑĨенÑĤ ÑĢалÑĮ", + "ĠÑĨенÑĤÑĢ алÑĮ", + "ĠÑĨенÑĤÑĢа лÑĮ", + "ĠTak ım", + "Ġon lar", + "Ġسر عت", + "好 åĥı", + "Ġbu á»ķi", + "ĠÐij ел", + "Âł c", + "Ø£ ت", + "à¸Ĥ à¸ĵะ", + "ãģ« åĩº", + "Ġ+ **************", + "ÏĦη κε", + "ا جر", + "اج ر", + "Ġ âĢ²", + "ĠâĢ ²", + "ãĥ¼ ãĥ¬", + "ãĥ¼ãĥ ¬", + "é¥ Ń", + "Ġج ÙĦس", + "ĠجÙĦ س", + "Ġب ستÙĩ", + "Ġبس تÙĩ", + "ว าà¸ĩ", + "Ġ βά", + "Ġβ ά", + "Ġа меÑĢикан", + "ĠPr emi", + "ĠPre mi", + "ĠPrem i", + "m ae", + "ma e", + "ĠÑģ ÑĢеди", + "ĠÑģÑĢед и", + "Ạł", + "Ġв ÑĢед", + "ãĢĤ èĢĮ", + "åĴ ²", + "Ġê³µ ê°ľ", + "èĤ ¥", + "з виÑĩай", + "Ġpro cent", + "Ġproc ent", + "и лоÑģÑĮ", + "ил оÑģÑĮ", + "ило ÑģÑĮ", + "श न", + "é łģ", + "éł ģ", + "е кÑĤи", + "ек ÑĤи", + "екÑĤ и", + "د اشت", + "دا شت", + "íķĻ íļĮ", + "ãĢĢ ãĢĢãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢĠãĢĢ ĠãĢĢ", + "ĠÙħد ÙĬÙĨØ©", + "िल न", + "Ġ èĹ", + "Ġè Ĺ", + "м иÑĢ", + "ми ÑĢ", + "Ġн оÑĢ", + "Ġно ÑĢ", + "Ġ íķĺì§Ģ", + "Ġíķĺ ì§Ģ", + "в еÑī", + "ве Ñī", + "nÄĽ m", + "е ÑĢами", + "еÑĢ ами", + "еÑĢа ми", + "Ġpra cov", + "Ġprac ov", + "ĠبÙĬ اÙĨات", + "ĠÏĥ Ïįν", + "ĠÏĥÏį ν", + "Ġج Ø°", + "ãģĦ ãģ§", + "ĠB ÃŃ", + "è± Ĩ", + "Ġh mot", + "Ġhm ot", + "il eceÄŁi", + "ilece ÄŁi", + "Ġت اث", + "Ġتا Ø«", + "è´ ´", + "Ġ ê¸ī", + "Ġê¸ ī", + "Ġm ysl", + "Ġmy sl", + "Ġmys l", + "ĠìĿ´ íķ´", + "Ġ기 ëĬ¥", + "ĠТ ам", + "ĠТа м", + "ĠнаÑģ елениÑı", + "ĠM ez", + "ĠMe z", + "Ġ모 르", + "íĻĶ 를", + "ĠÙĨسخ Ùĩ", + "ĠتÙĦ ÙĪÛĮزÛĮ", + "ĠÄįerv na", + "Æ°á» ¡ng", + "ص ØŃ", + "ĠÑĤ ÑĢен", + "ĠÑĤÑĢ ен", + "Õ ¡", + "Ġce lou", + "Ġcel ou", + "Å© i", + "ìĹĨ ìĿ´", + "nÃŃ ku", + "nÃŃk u", + "Ġprogram u", + "à¥į पन", + "à¥įप न", + "Ġп ÑĢеж", + "ĠпÑĢ еж", + "ĠпÑĢе ж", + "ا رب", + "ار ب", + "æľŁ éĸĵ", + "Ġ μά", + "Ġμ ά", + "ëįĶ ëĭĪ", + "ụ n", + "ĠпеÑĢ еÑģÑĤ", + "ĠпеÑĢе ÑģÑĤ", + "ĠпеÑĢеÑģ ÑĤ", + "对 äºİ", + "è¿IJ è¡Į", + "ĠÑĤ ан", + "ĠÑĤа н", + "Ġ ìĤ¬ìĿ´íĬ¸", + "ĠìĤ¬ ìĿ´íĬ¸", + "ĠìĤ¬ìĿ´ íĬ¸", + "ĠQu ảng", + "ĠQuản g", + "Ġst ojÃŃ", + "Ġsto jÃŃ", + "ãĥŃ ãĥ¼", + "Ú¯ ار", + "Ġе неÑĢг", + "Ġkter ým", + "Ġkterý m", + "ĠпÑĢи мÑĸ", + "ĠпÑĢим Ñĸ", + "ĠкаÑĢÑĤ и", + "ĠкаÑĢ ÑĤи", + "Ġz engin", + "Ġzen gin", + "ï¼Į åĨį", + "Ġت رب", + "Ġتر ب", + "ĠÑĨенÑĤ ÑĢ", + "ĠÑĨен ÑĤÑĢ", + "ĠsaÄŁ lamak", + "ĠsaÄŁlam ak", + "ëĭ Ŀ", + "ãģ® åŃIJ", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "Ġs Æ¡n", + "ĠsÆ¡ n", + "z ı", + "ÑĤ аки", + "ÑĤа ки", + "ÑĤак и", + "ÄĽ stÃŃ", + "ÄĽst ÃŃ", + "Ġ à¥", + "Ġà ¥", + "é ®", + "åŁ¹ è®Ń", + "Ġ ìĶ¨", + "ĠìĶ ¨", + "Ġbel ki", + "ĠìĿ´ 벤íĬ¸", + "ëĶĶ ìĸ´", + "Ġs Ãłn", + "ни кам", + "ник ам", + "ника м", + "a lim", + "al im", + "ali m", + "対 å¿ľ", + "ĠS á»±", + "éģĵ è·¯", + "é«ĺ æ¸ħ", + "Ġd õi", + "ĠÙĦ ÙĢ", + "Ġ èĤ¡", + "ĠèĤ ¡", + "ν ι", + "âĢŀ J", + "' nde", + "'n de", + "Îij Îĵ", + "ãģ¨ ãģªãĤĭ", + "ãģ¨ãģª ãĤĭ", + "çĪ ¸", + "ع ÙĦÛĮ", + "عÙĦ ÛĮ", + "Ïģι ÏĥÏĦ", + "ÏģιÏĥ ÏĦ", + "Ġe ÄŁit", + "ĠeÄŁ it", + "Ġзов нÑĸÑĪ", + "Ġп ÑĢим", + "ĠпÑĢ им", + "ĠпÑĢи м", + "س Ùħبر", + "سÙħ بر", + "ĠmÄĽst ÄĽ", + "ĠÏĢεÏģι ÏĥÏĥÏĮÏĦε", + "ÐIJ Ðł", + "æĦŁ åĪ°", + "Ġ문 ìĦľ", + "ãģĭ ãĤĭ", + "ÙĤÙĬ ÙĤØ©", + "ÙĤÙĬÙĤ Ø©", + "Ġв ÑĤÑĢа", + "ĠвÑĤ ÑĢа", + "Ġ à¸Ńำ", + "Ġà¸Ń ำ", + "Ñģ кÑĥÑİ", + "Ñģк ÑĥÑİ", + "د ÙĩاÛĮ", + "دÙĩ اÛĮ", + "ĠÄ° st", + "ĠÄ°s t", + "ĠÐĹ Ð°Ð²", + "ĠÐĹа в", + "Ġ éĥ½", + "Ġé ĥ½", + "Ġéĥ ½", + "ÑĪ ем", + "ÑĪе м", + "Ġе ÑīÑij", + "ĠÐľÐ¸Ñħ ай", + "ĠÑĥпÑĢав лениÑı", + "л еннÑĭе", + "лен нÑĭе", + "ĠzaÄį al", + "æ¡ Į", + "Ġп Ñĸз", + "л ÑıÑĤÑĮÑģÑı", + "лÑı ÑĤÑĮÑģÑı", + "лÑıÑĤÑĮ ÑģÑı", + "Ġ ìŀIJë£Į", + "ĠìŀIJ ë£Į", + "ãĢĢ ãĢĢĠ", + "ãĢĢãĢĢ Ġ", + "ĠK ral", + "ĠKr al", + "ĠKra l", + "èĪ ī", + "Ġà¤Ń व", + "Ġ Ø®Ùħ", + "ĠØ® Ùħ", + "Ġа кадем", + "Ġ isten", + "Ġis ten", + "Ġi sten", + "Ġist en", + "ĠиÑģ кÑĥÑģ", + "ĠиÑģк ÑĥÑģ", + "ĠعÙĨد Ùħا", + "Ġا ÙĦاÙħ", + "ĠاÙĦ اÙħ", + "is mus", + "ism us", + "ismu s", + "Ġayr ıntı", + "Ġ Що", + "ĠЩ о", + "ĠÙĩ ÙĪØ´", + "ĠÙĩÙĪ Ø´", + "د ÙĪاج", + "دÙĪ اج", + "л аж", + "ла ж", + "ĠÚ©ÙĨ ار", + "Âł R", + "æĢ§ çļĦ", + "Ñģ Ñĸм", + "ÑģÑĸ м", + "ĠM üz", + "ĠMü z", + "ÑĢ овиÑĩ", + "ÑĢов иÑĩ", + "ÑĢо виÑĩ", + "Ġ Ω", + "ĠÎ ©", + "Ġìĸ´ ëĶĶ", + "س ÙħØ©", + "سÙħ Ø©", + "Ġ ÑĢÑı", + "ĠÑĢ Ñı", + "Ġt Æ°Æ¡i", + "ĠtÆ° Æ¡i", + "ĠÑĢаÑģ Ñħод", + "åı° çģ£", + "ĠاÙĦ ÙĪÙĤت", + "ĠاÙĦÙĪ ÙĤت", + "بر اÛĮ", + "ĠзÑĢоб иÑĤи", + "Ġб ÑĥÑĢ", + "ĠбÑĥ ÑĢ", + "ĠÄįin nosti", + "ĠÄįinnost i", + "Ġص اØŃ", + "ĠصÙĨ عت", + "ĠصÙĨع ت", + "Ġ Ø·ÙĦ", + "ĠØ· ÙĦ", + "ξ Ïį", + "ĠtisÃŃ c", + "ĠFr ansa", + "ĠFran sa", + "ì¦ ĺ", + "è» ½", + "Ñ ĺ", + "ÏĮÏĦη ÏĦαÏĤ", + "ÏĮÏĦηÏĦα ÏĤ", + "ĠM illet", + "ĠMill et", + "ĠMil let", + "ãĢĢ ãĥ¾", + "ĠпÑĢ ием", + "ĠпÑĢи ем", + "ĠترجÙħ Ùĩ", + "Ġس ÙĪد", + "ĠسÙĪ د", + "ĠsouÄįást ÃŃ", + "ÐĶ о", + "Ġtr ụ", + "足 çIJĥ", + "à¸Ľ à¸ģ", + "Ġu stanov", + "ÎŁ ÎĻ", + "ÎŁÎ Ļ", + "Ðŀ н", + "Ġн еж", + "Ġне ж", + "к ог", + "ко г", + "ä¸Ģ çĤ¹", + "Ġد ÙĪراÙĨ", + "ĠدÙĪ راÙĨ", + "ĠدÙĪر اÙĨ", + "å½± éŁ¿", + "el idir", + "eli dir", + "âĢŀ N", + "es iyle", + "esi yle", + "ÑĢем енно", + "ÑĢе менно", + "Ġilet iÅŁim", + "ม à¹Ģà¸ķ", + "以 åīį", + "ãĥĭ ãĥ¼", + "鼻 話", + "à¹Ĥ à¸ŀ", + "ov ky", + "Ġза мÑĸ", + "Ġзам Ñĸ", + "Ġव à¤ķ", + " Ļ", + "ĠвÑĸй ни", + "Ġol madıģı", + "Ġolm adıģı", + "Ġolmadı ģı", + "Ġolma dıģı", + "æ¢ ģ", + "ĠТ еп", + "ĠТе п", + "nÄĽ te", + "nÄĽt e", + "èħ ķ", + "ìĤ¬ ëĬĶ", + "m amak", + "ma mak", + "mam ak", + "Ġc iz", + "Ġci z", + "æ£ Ĵ", + "Ġ ï¼ı:", + "Ġï¼ı :", + "éģĭ åĭķ", + "ĠÙĩ ÙĨا", + "ĠÙĩÙĨ ا", + "Ġ ê°ij", + "Ġê° ij", + "ĠÙĩÙĨÚ¯ اÙħ", + "ĠuÄŁ ra", + "å½ ¦", + "Ġob jekt", + "Ġobj ekt", + "ãģ¨ ãģĻãĤĭ", + "åĽ½ åĨħ", + "ĠдеÑĢжав и", + "ĠдеÑĢж ави", + "Ġ èĮ", + "Ġè Į", + "Ġulus lararası", + "Ù £", + "Ġmut lak", + "Ġз обов", + "Ġ γεν", + "Ġγ εν", + "Ġγε ν", + "à¹Ħà¸Ł à¸Ł", + "Ġözg ür", + "íĦ ¸", + "Ġвипад кÑĥ", + "Ġà¤ķ ब", + "ĠاÙĦ خط", + "ĠاÙĦØ® Ø·", + "θη καν", + "ï¼Į æĬĬ", + "ÑıÑĤ ÑĤÑı", + "Ġolmadı ģını", + "Ġolma dıģını", + "Âłk W", + "ĠnÄĽkter ých", + "ãĥĩ ãĥ«", + "æ¤į çī©", + "μι λοÏĤ", + "ÐIJÑĢ ÑħÑĸв", + "ĠТ о", + "èĸ ¬", + "ÑģÑĤв иÑı", + "Ġ Ø®ÙĪاست", + "ĠØ®ÙĪ است", + "олог ÑĸÑĹ", + "ÙĪ اÙĩد", + "ÙĪاÙĩ د", + "ÙĪا Ùĩد", + "Ġ нак", + "Ġн ак", + "Ġна к", + "ĠкоÑĤоÑĢ ÑĥÑİ", + "Ġद à¤ķ", + "âĢŀ M", + "λ ια", + "λι α", + "æŃ ²", + "第 åĽĽ", + "à¤¾à¤ľ स", + "Ġ( «", + "Ġth ẻ", + "､ Ċ", + "ç£ ģ", + "Ġ ÙĦÙĤ", + "ĠÙĦ ÙĤ", + "Ġ ìķĶ", + "Ġìķ Ķ", + "Ġн ового", + "Ġнов ого", + "ĠìķĦ 주", + "Ġ ëIJĺìĸ´", + "ĠëIJĺ ìĸ´", + "Ġo lun", + "Ġol un", + "à ¾", + "Ġkar iy", + "Ġkari y", + "ĠØŃ Ø³Ø¨", + "ĠØŃس ب", + "ĠìĿĺ 미", + ". Ðľ", + "Ġoz naÄį", + "ÙĦ سÙĦ", + "ÙĦس ÙĦ", + "ĠÐĴ ид", + "ĠÐĴи д", + "ë¡ľ ëĤĺ", + "à¥įà¤Ł म", + "í ľ´", + "Ġbilg isayar", + "ìĿ¸ ì§Ģ", + "Ġв ов", + "Ġво в", + "nict vÃŃm", + "nictvÃŃ m", + "า à¸Ńย", + "าà¸Ń ย", + "Ġشخص ÛĮ", + "п Ñĸон", + "æľ¬ å½ĵ", + "Ġب ÙĢ", + "ĠмаÑģ ло", + "ĠPh át", + "Ġ ба", + "Ġб а", + "алÑĮ номÑĥ", + "алÑĮно мÑĥ", + "алÑĮном Ñĥ", + "社 åĮº", + "Ġ Ò", + ": ::|", + ":: :|", + "::: |", + "ê ´", + "Ġ ä¸ĥ", + "Ġä¸ ĥ", + "ĠÙĪ اÙĦد", + "ĠÙĪاÙĦ د", + "ни ке", + "ник е", + "à¸Ń ลล", + "à¸Ńล ล", + "Ġyer leÅŁ", + "Ġkom bin", + "Ġkomb in", + "u Å¡", + "Ġо ÑĤÑĢи", + "ĠоÑĤ ÑĢи", + "ä¹ Į", + "iÅŁ ti", + "Ġs óng", + "Ġsó ng", + "λ ηÏĤ", + "λη ÏĤ", + "Ġк ÑĥÑĢÑģ", + "ĠкÑĥÑĢ Ñģ", + "à¹Ī าà¸Ħ", + "à¹Īา à¸Ħ", + "Ġ ÙĬس", + "ĠÙĬ س", + "Ġ داÙħ", + "Ġد اÙħ", + "çĴ° å¢ĥ", + "Ñĩ енко", + "Ñĩен ко", + "ãĢį ãģ®", + "ĠmÃŃ sta", + "ĠmÃŃst a", + "ĠÑĦ оÑĤ", + "ĠpÅĻÃŃ zn", + "ĠÑĢ аза", + "ĠÑĢаз а", + "ĠÑĢа за", + "ç´ «", + "lá da", + "lád a", + "ĠÑģпеÑĨи алиÑģÑĤ", + "ĠبÛĮ ÙħارÛĮ", + "ĠبÛĮÙħ ارÛĮ", + "ĠبÛĮÙħار ÛĮ", + "Ġëĵ £", + "çĭ Ĺ", + "ÙĪ ÙĪ", + "ан ÑĸÑĤ", + "анÑĸ ÑĤ", + "ĠدÙĨ باÙĦ", + "ĠÙħجÙħÙĪع Ø©", + "ÃŃ na", + "ÃŃn a", + "ĠH alk", + "ĠHa lk", + "ĠHal k", + "á jem", + "áj em", + "enÃŃ ze", + "Ġim z", + "« ng", + "Ġ ÎķÎł", + "ĠÎķ Îł", + "ĠÙħ Ùĩد", + "ĠÙħÙĩ د", + "ìľĦìĽIJ íļĮ", + "Ġìľł íĺķ", + "ाप स", + "Ġje ž", + "ан Ñĸз", + "анÑĸ з", + "иÑĤ ай", + "иÑĤа й", + "á¿ ĸ", + "ir ler", + "irl er", + "기 ê°Ħ", + "Ġ воÑĢ", + "Ġв оÑĢ", + "Ġво ÑĢ", + "Ġ Ïİ", + "ĠÏ İ", + "Ġpo zn", + "Ġpoz n", + "Ġ ساÙĨ", + "Ġس اÙĨ", + "å ¯¿", + "å¯ ¿", + "æĸ¯ çī¹", + "Ġtu rist", + "Ġtur ist", + "ĠìŀIJ ìľł", + "à¥Ģ à¤ĸ", + "μ με", + "μμ ε", + "an sı", + "ans ı", + "ìĨĮ ëħĦ", + "Ġted avi", + "Ġtedav i", + "Ñĩ еÑģÑĤва", + "Ñĩе ÑģÑĤва", + "å£ ĵ", + "о ве", + "ов е", + "ï¼Į çľĭ", + "ĠпоÑģл Ñĥг", + "ĠпоÑģ лÑĥг", + "ĠÑĤÑĢ анÑģ", + "ĠÑĤÑĢан Ñģ", + "Ġz áz", + "Ġzá z", + "æĪ ´", + "Ġм она", + "Ġмон а", + "Ġмо на", + "ิ à¹Ģà¸Ħราะห", + "ĠÙĨ ÛĮÙħ", + "ĠÙĨÛĮ Ùħ", + "ĠìĤ¬ëŀĮ ìĿ´", + "a hat", + "ah at", + "aha t", + "Ïħ κ", + "ĠоÑĤ каз", + "ĠоÑĤк аз", + "ĠÐĴолод ими", + "ĠС к", + "िà¤ķ त", + "å¦ ĸ", + "Ġëĭ¤ìļ´ ë¡ľëĵľ", + "ìĺģ ìĥģ", + "Ġन à¤Ī", + "c ete", + "ce te", + "ĠгÑĢи б", + "ĠгÑĢ иб", + "ece ÄŁini", + "eceÄŁi ni", + "Ġç oÄŁu", + "ĠçoÄŁ u", + "ĠмаÑĤеÑĢи ала", + "ĠмаÑĤеÑĢиал а", + "ứ t", + "Ġz aten", + "Ġza ten", + "Ġzat en", + "ĠF RA", + "ĠFR A", + "ĠBir liÄŁi", + "Ġs itesi", + "Ġsit esi", + "Ġsite si", + "Ġsites i", + "Ġ åĶ", + "Ġå Ķ", + "ĠÐĴ ол", + "ĠÐĴо л", + "Âł PS", + "ÂłP S", + "ा लत", + "ाल त", + "Ġ баÑĩ", + "Ġб аÑĩ", + "Ġба Ñĩ", + "алÑĸ заÑĨÑĸÑĹ", + "алÑĸз аÑĨÑĸÑĹ", + "ĠS lov", + "ĠSl ov", + "ĠSlo v", + "ç³ ĸ", + "ĠговоÑĢ иÑĤ", + "Ġв вед", + "Ġвв ед", + "ุà¸ķ à¸ļà¸Ńล", + "ãģĨ ãģ¡", + "Ġyap tık", + "Ġyaptı k", + "Ġìłķ ì¹ĺ", + "ê°ľ 를", + "à¥Ī सल", + "à¥Īस ल", + "ج ÙĬÙĦ", + "جÙĬ ÙĦ", + "ĠзаÑģÑĤоÑģ ов", + "è¿ «", + "ĠKur ul", + "ĠNas ıl", + "ĠнапÑĢÑı м", + "Ġ ä½į", + "à¹Į à¸ļ", + "Ġ éģĵ", + "Ġéģ ĵ", + "Ġни же", + "Ġниж е", + "Ġк оÑģÑĤ", + "Ġко ÑģÑĤ", + "ĠкоÑģ ÑĤ", + "ظ Ùĩر", + "ظÙĩ ر", + "Т а", + "ì§ Ŀ", + "Ġön ünde", + "ж Ñĸ", + "Ġاجر اÛĮ", + "Ġاجرا ÛĮ", + "ĠоÑĢган Ñĸв", + "ĠоÑĢганÑĸ в", + "v ise", + "vis e", + "vi se", + "Ġ ìĿĦ", + "ĠìĿ Ħ", + "à¸ķ รà¸ĩ", + "à¸ķร à¸ĩ", + "Ú©ÙĨ ÙĪÙĨ", + "Ġdlou ho", + "Ġdlouh o", + "Ðŀ ÐĿ", + "Ġ ìľ¡", + "Ġìľ ¡", + "缮 æłĩ", + "ë¯ Ģë¡ľ", + "ï¼ıï¼ıï¼ıï¼ı ï¼ıï¼ıï¼ıï¼ı", + "ĠпоÑĩ емÑĥ", + "æķħ äºĭ", + "ÑĤ еÑģÑĮ", + "ÑĤе ÑģÑĮ", + "ĠÙĤ ÙĦب", + "ĠÙĤÙĦ ب", + "Ġت جÙĩ", + "Ġتج Ùĩ", + "i lendir", + "il endir", + "ilen dir", + "Ġи гÑĢа", + "Ġиг ÑĢа", + "ĠÐĶ он", + "ĠÐĶо н", + "ĠpÅĻÃŃ jem", + "è¦ Ĩ", + "С п", + "- ни", + "on se", + "ons e", + "и ной", + "ин ой", + "о Ñĩного", + "оÑĩ ного", + "оÑĩно го", + "ا ساÙĨ", + "اس اÙĨ", + "ĠполÑĥÑĩ иÑĤÑĮ", + "ĠполÑĥ ÑĩиÑĤÑĮ", + "ÑĤ ап", + "ÑĤа п", + "ĠL ý", + "ĠÃĤ u", + "Ġh üc", + "e bek", + "eb ek", + "ebe k", + "ĠY ayın", + "æĹ ĭ", + "ัà¸Ļ à¸Ĺร", + "ัà¸Ļà¸Ĺ ร", + "Ġвикон ав", + "Ġвико нав", + "Ġs ông", + "à¥ģ à¤ľ", + "à¥ģठľ", + "ĠÐĹ Ð°Ð³", + "ĠÐĹа г", + "¤ ëĭ¤", + "Ġc Å©", + "ĠÚ¯ رÙħ", + "Ġگر Ùħ", + "ä¼ ı", + "ãģ« ãģĻãĤĭ", + "- Ф", + "Ġ ÙĤÙħ", + "ĠÙĤ Ùħ", + "Ġo lacaÄŁ", + "Ġol acaÄŁ", + "æĿ¥ äºĨ", + "æĭĽ èģĺ", + "ĠÐĿаÑģ еленнÑı", + "Ġ ìĺģìĸ´", + "Ġìĺģ ìĸ´", + "Ġ æѤ", + "ĠæŃ ¤", + "Ġب دÙĨ", + "Ġبد ÙĨ", + "Û² Û¸", + "оÑĢ аÑĤив", + "оÑĢа ÑĤив", + "ï¼ ³", + "Ġneby lo", + "Ġnebyl o", + "ĠÑĥ ÑĩиÑĤ", + "ĠÑĥÑĩ иÑĤ", + "æĿ ľ", + "Ġд анÑĸ", + "Ġда нÑĸ", + "Ġдан Ñĸ", + "Ġsp otÅĻeb", + "Ġspot ÅĻeb", + "ãĥ¼ ãĥĨãĤ£", + "ãĥ¼ãĥĨ ãĤ£", + "ен нÑĥÑİ", + "ê¹Į ìļĶ", + "v em", + "ve m", + "P ÅĻÃŃ", + "PÅĻ ÃŃ", + "Ġy andan", + "Ġyan dan", + "é¼ ĵ", + "Ġدست ÙĪر", + "Ġدس تÙĪر", + "Ġhaf if", + "h ů", + "Ġv áž", + "Ġvá ž", + "ĠìķĦ ì§ģ", + "Ùı ر", + "Ġ ла", + "Ġл а", + "ëł ī", + "า à¸Ľà¸£à¸°", + "à¸²à¸Ľ ระ", + "lık lar", + "lıkla r", + "ĠÑģÑĤанд аÑĢÑĤ", + "à¸Ń à¹ĥห", + "å¥ ´", + "ĠоÑĤ п", + "âĪ ł", + "ãĥ¼ ãĥĢ", + "ãĥ¼ãĥ Ģ", + "ch áze", + "cház e", + "Ġê·¸ ëłĩê²Į", + "Ġê·¸ëłĩ ê²Į", + "os tel", + "ost el", + "oste l", + "Ġгал Ñĥз", + "â k", + "еÑĨ ÑĤ", + "ëŀij ìĬ¤", + "ĠÄį ist", + "ĠÄįi st", + "ÑĢ ана", + "ÑĢа на", + "ÑĢан а", + "Ġv ững", + "Ġvữ ng", + "Ġs eni", + "Ġse ni", + "Ġsen i", + "Ġg óc", + "Ġgó c", + "ÏĨ ÏĮ", + "á nu", + "án u", + "Ġ öt", + "Ġö t", + "Ġs óc", + "Ġsó c", + "ãģĦ ãģ®", + "ĠÑģк лада", + "ĠÑģклад а", + "ÐIJÑĢÑħÑĸв овано", + "ĠìĿ´ ë²Ī", + "ãĤ¹ ãģ®", + "il ebilir", + "ile bilir", + "ï½Ģ ãĥ½", + "ีย à¸į", + "Ġκα ὶ", + "Ġë ¯¿", + "æĽ´ å¤ļ", + "ıs ının", + "ısını n", + "ĠGi ám", + "ĠGiá m", + "æŃ£ å¼ı", + "Ïĥ μÏĮ", + "Ïĥμ ÏĮ", + "Ġarch it", + "Ġarc hit", + "Ġ ï½²", + "Ġï½ ²", + "Ñĩ аÑİÑĤÑģÑı", + "Ñĩа ÑİÑĤÑģÑı", + "ÑĩаÑİÑĤ ÑģÑı", + "ë²Ħ ì§Ģ", + "ãĤ¤ ãĥ¤", + "é«ĺ æł¡", + "è¨ ³", + "ĠÙħ ÛĮÚ©", + "ĠÙħÛĮ Ú©", + "Ġ æĥħ", + "Ġæĥ ħ", + "Ġ pha", + "Ġp ha", + "Ġph a", + "太 éĥİ", + "à¸ŀระ ราà¸Ĭ", + "ÙĤ ÙĬØ©", + "ÙĤÙĬ Ø©", + "ĠÑĥ лÑĥÑĩ", + "ĠÑĥл ÑĥÑĩ", + "ÑģÑĤв ÑĥеÑĤ", + "ÑģÑĤвÑĥ еÑĤ", + "Ġk eÅŁ", + "Ġke ÅŁ", + "é«ĺ çŃī", + "Ġs Ỽm", + "Ïģ κε", + "Ïģκ ε", + "μ οÏģ", + "μο Ïģ", + "Ġzá stup", + "o zÃŃ", + "oz ÃŃ", + "Ġm ili", + "Ġmil i", + "Ġmi li", + "Ġмог ли", + "Ġз ÑĢозÑĥм", + "Ġباش ÛĮد", + "Ġak ci", + "Ġд ÑĢа", + "ĠдÑĢ а", + "Ġα Ïģι", + "ĠαÏģ ι", + "ãģĭ ãĤīãģ®", + "ãģĭãĤī ãģ®", + "å¯ Ĵ", + "ĠZ aman", + "ĠZa man", + "ĠZam an", + "ĠÑĸ де", + "ĠÑĸд е", + "Ġ ãĢĢĠ", + "ĠãĢĢ Ġ", + "Ġk lu", + "Ġkl u", + "ak lı", + "à¥ĩ à¤ļ", + "à¥ĩठļ", + "ĠÑģвоб од", + "س اÙħ", + "Ġ ов", + "Ġо в", + "Ġu byt", + "Ġub yt", + "éĩĩ çĶ¨", + "Ġdavran Ä±ÅŁ", + "ĠnabÃŃ zÃŃ", + "ĠÐij Ñĥд", + "Ġ Ïī", + "ĠÏ ī", + "ĠاÙĦ رØŃ", + "ĠاÙĦر ØŃ", + "ั à¸ķà¸Ļ", + "ัà¸ķ à¸Ļ", + "и ме", + "им е", + "Ġت ÙĦÙĥ", + "ĠتÙĦ Ùĥ", + "ت Ùħع", + "تÙħ ع", + "Ġад миниÑģÑĤÑĢа", + "Ġzor unda", + "Ġzorun da", + "ĠÙĨ سبة", + "ĠÙĨسب Ø©", + "ĠÙĨس بة", + "ĠصÙĨع تÛĮ", + "ĠصÙĨعت ÛĮ", + "ĠÑĦÑĥн да", + "éı ¡", + "Ġpo tom", + "Ġpot om", + "Ġп ÑĢеÑģÑĤ", + "ĠпÑĢ еÑģÑĤ", + "ĠпÑĢе ÑģÑĤ", + "ĠпÑĢеÑģ ÑĤ", + "Ġsı rada", + "Ġsır ada", + "Ġsıra da", + "Ġ ayar", + "Ġa yar", + "Ġay ar", + "ا ÙĤÙĦ", + "اÙĤ ÙĦ", + "æº ª", + "ĠØ¢ÙĤ اÛĮ", + "ĠпеÑĢе Ñħод", + "ĠпÑĢакÑĤи ÑĩеÑģки", + "é» ĥ", + "ĠÑĥ Ñħод", + "ĠÑĥÑħ од", + "ĠÙħ تÙģ", + "ĠÙħت Ùģ", + "Ġsiyas i", + "Ġпо ÑĤен", + "ĠпоÑĤ ен", + "Ùİ Ùģ", + "ĠÐĽ Ñĥ", + "ĠконÑĤÑĢ олÑĮ", + "ĠÑģказ аÑĤÑĮ", + "à¥Ģ à¤ķरण", + "à¥Ģà¤ķ रण", + "åħ¨ çIJĥ", + "Û² Û¶", + "Ġt oto", + "Ġto to", + "Ġtot o", + "Ġ ÙĪد", + "ĠÙĪ د", + "ãĤ¿ãĤ¤ ãĥĹ", + "åľ į", + "å¼ķ çĶ¨", + "ï¼ £", + "èĬ ¸", + "ä»ĭ ç»į", + "ĠÑĤеÑĢÑĢиÑĤоÑĢ ии", + "æĹ¥ ãģ«", + "m ÃŃt", + "mÃŃ t", + "am ız", + "amı z", + "ìĿ´ ìĸ´", + "Ġyar Ä±ÅŁ", + "Ġyarı ÅŁ", + "Ġg üc", + "Ġgü c", + "Ġ Ïĩα", + "ĠÏĩ α", + "ัà¸Ļย ายà¸Ļ", + "ãĤĴ è¡Į", + "Ġm illi", + "Ġmill i", + "Ġmil li", + "Ġmi lli", + "Ġ çı¾", + "Ġçı ¾", + "K dyž", + "m azon", + "ma zon", + "maz on", + "ë³´ ëĤ´ê¸°", + "ĠÑĤÑĢÑĥ дов", + "ĠÑĤÑĢÑĥд ов", + "é£ ¾", + "Ġви ник", + "Ġвин ик", + "ĠÙĪز ارت", + "ĠÙĪزار ت", + "éĩĮ çļĦ", + "м аз", + "ма з", + "ĠR US", + "ĠRU S", + "е кÑĤÑĥ", + "ек ÑĤÑĥ", + "екÑĤ Ñĥ", + "Ġع اش", + "Ġk once", + "Ġko nce", + "Ġkon ce", + "ãĤĪãģĨ ãģ§ãģĻ", + "Ġмал ÑĭÑĪ", + "m eni", + "me ni", + "men i", + "е Ñģа", + "еÑģ а", + "ا ضÛĮ", + "اض ÛĮ", + "Ġb rat", + "Ġbr at", + "Ġbra t", + "ĠвÑĸд ноÑģ", + "θ εÏģ", + "θε Ïģ", + "ĠЧ ем", + "æij ĩ", + "ĠÙħ ادر", + "ĠÙħا در", + "ĠÙħاد ر", + "çĶ¨ åĵģ", + "ĠÙħØŃ Ø§Ùģظ", + "Ġm yÅ¡", + "Ġmy Å¡", + "ج ع", + "Ġis im", + "Ġi sim", + "Ġisi m", + "æ³ Ĭ", + "ıl maz", + "ĠÎĽ α", + "å¯ ©", + "Ġay ır", + "е ними", + "ен ими", + "ени ми", + "еним и", + "à¥ĩह तर", + "åľ Ĩ", + "ãģ¾ ãģ£ãģŁ", + "çĶ¢ åĵģ", + "ĠÑĸнÑĦоÑĢма ÑĨÑĸÑĹ", + "Ġt ủ", + "Ġtá» §", + "สม à¸ļ", + "Ġst ÅĻ", + "Ġë°ľ íijľ", + "а ÑĢÑĮ", + "аÑĢ ÑĮ", + "ĠC ao", + "ĠCa o", + "Ρ ÎĻ", + "à¸ģาร à¸Ī", + "Ġпод Ñĥм", + "ä»ķ äºĭ", + "ĠÐļ ÑĢоме", + "Ġ ìĹĶ", + "ĠìĹ Ķ", + "Ġ Ñĥда", + "ĠÑĥ да", + "ĠÑĥд а", + "ĠавÑĤом аÑĤи", + "Ġ à¸Ħà¸ĵะ", + "Ġà¸Ħ à¸ĵะ", + "ĠK iÅŁ", + "ĠKi ÅŁ", + "ĠÑģоÑģÑĤоÑı ние", + "l isi", + "li si", + "lis i", + "Ġëĸ ¨ìĸ´", + "oot ball", + "Ġ íį¼", + "Ġí į¼", + "Ġ лим", + "Ġл им", + "Ġли м", + "Ġç erç", + "ÙĪÙĦ ÙĬÙĪ", + "ÙĪÙĦÙĬ ÙĪ", + "Ġs lož", + "Ġsl ož", + "Ġslo ž", + "Ġ 먼", + "Ġë¨ ¼", + "ร à¸Ńà¸ĩ", + "ÑĪ ее", + "ÑĪе е", + "âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦ âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦", + "ãģĵ ãģ¡ãĤī", + "о ÑĢÑĭ", + "оÑĢ Ñĭ", + "çĥ Ł", + "Âł F", + "а ного", + "ан ого", + "ано го", + "Ø« ÛĮر", + "çı į", + "å¸Ĥ åł´", + "vÄĽ dom", + "vÄĽd om", + "ì² ¨ë¶Ģ", + "ĠìĤ¬ ê±´", + "ï¾ Į", + "à¹ĥ à¸Ļว", + "à¹ĥà¸Ļ ว", + "Ġzvlá Å¡t", + "ÏĦ εÏħ", + "ÏĦε Ïħ", + "Ġкак ие", + "Ġка кие", + "ÏĨοÏģ ά", + "ÏĨο Ïģά", + "åĦ Ħ", + "Ġzp ÄĽt", + "íķľ íħĮ", + "Ġz vol", + "Ġzv ol", + "Ġ çĹ", + "Ġç Ĺ", + "ÑĢа нениÑı", + "ÑĢан ениÑı", + "ĠسÛĮ است", + "ĠÐļ оли", + "ĠÐļол и", + "ĠÐļо ли", + "ĠоÑĢганиз ма", + "ĠоÑĢганизм а", + "ĠÑıнва ÑĢÑı", + "Ġد ادÙĨ", + "Ġداد ÙĨ", + "п ÑĢа", + "пÑĢ а", + "ï¼Į ä»ĸ们", + "ï¼Įä»ĸ 们", + "æijĺ è¦ģ", + "Ġqu ần", + "ÙĬ ÙĪÙĨ", + "ÙĬÙĪ ÙĨ", + "Ġви Ñħов", + "Âł à¹Ģà¸Ķ", + "Ġ елем", + "Ġе лем", + "eb ilecek", + "Ġд оÑĩ", + "Ġдо Ñĩ", + "Ġб лаг", + "Ġбл аг", + "Ġбла г", + "ĠÑı й", + "ad nÃŃ", + "Ġzá roveÅĪ", + "en stvÃŃ", + "âĢĮ اÙĨ", + "ãģķãĤĵ ãģ¯", + "/ |", + "ĠاÙĦع اÙħØ©", + "ĠاÙĦعاÙħ Ø©", + "éł ¼", + "Ġخدا ÙĪÙĨد", + "Ġخد اÙĪÙĨد", + "н ам", + "на м", + "ĠÑģ лиз", + "ĠÑģл из", + "æ¶ ī", + "ร ษ", + "e ÅŁtir", + "eÅŁ tir", + "ĠÙĨ دار", + "ĠÙĨد ار", + "ร าà¸Ħ", + "è¨Ģ ãĤı", + "Ġ èŃ", + "Ġè Ń", + "Ġк ÑĢиÑĤ", + "ĠкÑĢи ÑĤ", + "ĠвоздÑĥ Ñħа", + "ĠвоздÑĥÑħ а", + "Ġà¤Ĺ त", + "Ġprá vo", + "Ġpráv o", + "à¥ĭष ण", + "Ġs ắp", + "íı Ń", + "Ġص رÙģ", + "ĠراÛĮ گاÙĨ", + "ĠоÑĤ к", + "ëĨ ĵ", + "ĠÑģек ÑĢеÑĤ", + "Ä° n", + "on avir", + "ona vir", + "ĠV ys", + "ĠVy s", + "ĠbaÅŁ lat", + "ĠMu ham", + "ĠлиÑģÑĤ оп", + "ĠT icaret", + "ĠTi caret", + "ĠTic aret", + "Ġad landır", + "ĠÐĶ миÑĤ", + "Ïĥμ οÏį", + "Ïĥμο Ïį", + "ä¾ µ", + "ìĭľ ëĬĶ", + "à¹ģà¸Ľ ลà¸ĩ", + "ın ıza", + "ını za", + "ınız a", + "- г", + "и ÑĩноÑĹ", + "иÑĩ ноÑĹ", + "иÑĩно ÑĹ", + "Ñĥ ÑĢи", + "ÑĥÑĢ и", + "U Z", + "ìĽ ł", + "Ġتبد ÛĮÙĦ", + "æ º«", + "æº «", + "ĠÑĢам каÑħ", + "Ġn ét", + "Ġné t", + "æ² ¿", + "Ġroz Å¡ÃŃ", + "Ġस प", + "ĠÑĤак е", + "ĠÑĤа ке", + "ÑĢ аÑĩ", + "ÑĢа Ñĩ", + "ĠاÙĦ ÙĤد", + "ĠاÙĦÙĤ د", + "íķĻ ê³¼", + "Ñĥв аннÑıм", + "ÑĥваннÑı м", + "Ġm ám", + "Ġmá m", + "ë¡ ¯", + "á½ IJ", + "Ġet kili", + "Ġetk ili", + "Ġetkil i", + "Ġetki li", + "Ġار تÙģ", + "Ġtechn olog", + "Ġtechno log", + "Ġ ì½ĺ", + "Ġì½ ĺ", + "Ġت ÙĥÙĬÙĬÙģ", + "ĠpÅĻ ece", + "ĠpÅĻe ce", + "家 åºŃ", + "Ġ ãģı", + "âĶ ´", + "íģ ¼", + "ĠÎľ ά", + "à¹Ģ à¸ķร", + "à¹Ģà¸ķ ร", + "ĠÑģÑĤанов иÑĤÑģÑı", + "ç«ĭ ãģ¡", + "Ġ éĸĭ", + "Ġéĸ ĭ", + "ĠÄ° yi", + "ĠnÄĽkter é", + "ĠÑĢоб оÑĤ", + "ĠÄIJ Æ°á»Ŀng", + "ĠاÙĦ اج", + "Ġsp eci", + "Ġspec i", + "Ġspe ci", + "çī¹ åĪ«", + "åŃ Ŀ", + "âĢĮ گذ", + "âĢĮÚ¯ Ø°", + "a lıģı", + "al ıģı", + "alı ģı", + "Ġм иÑĢа", + "Ġми ÑĢа", + "ĠмиÑĢ а", + "í İĺìĿ´ì§Ģ", + "íİĺ ìĿ´ì§Ģ", + "Ø® Ùģ", + "ãĤª ãĥª", + "Ġس ÛĮÙħ", + "ĠسÛĮ Ùħ", + "Ġìĸ´ ëĬIJ", + "алÑĮ нÑĥ", + "Ñĩ ний", + "ümüz de", + "æĻº èĥ½", + "ý n", + "ĠتÙĤÙĪ ÛĮت", + "Ġп ÑĢиг", + "ĠпÑĢ иг", + "ĠпÑĢи г", + "ĠгÑĢÑĥпп Ñĭ", + "am ı", + "γ οÏį", + "γο Ïį", + "оÑĢ ÑĤÑĥ", + "оÑĢÑĤ Ñĥ", + "ĠG iang", + "ĠGi ang", + "ĠGian g", + "ĠGia ng", + "ÅĻ en", + "ÅĻe n", + "Ġokol ÃŃ", + "产 ä¸ļ", + "Ġ зм", + "Ġз м", + "Ġ é¾", + "Ġé ¾", + "ÙĬ ار", + "ÙĬا ر", + "ĠاÙĦØ´ÙĬ Ø®", + "иÑĤелÑĮ нÑĭй", + "Ġ اÙĩÙħ", + "Ġا ÙĩÙħ", + "ĠاÙĩ Ùħ", + "ĠباÙĦ رÙĬاض", + "ĠÙ¾ÛĮ اÙħ", + "Ġk redi", + "Ġkr edi", + "Ġkre di", + "Ġkred i", + "ĠA rap", + "ĠAr ap", + "ĠAra p", + "Ġ ÑĢаб", + "ĠÑĢ аб", + "ĠÑĢаР±", + "ĠÑĢа б", + "ĠнекоÑĤоÑĢ ÑĭÑħ", + "ĠØŃاÙģظ Ùĩ", + "иÑĤелÑĮ ного", + "иÑĤелÑĮно го", + "Ġgerek mektedir", + "ĠD eniz", + "ĠDen iz", + "ĠتÙĦ اش", + "st agram", + "sta gram", + "stag ram", + "áv ky", + "åĬł åħ¥", + "oz or", + "ozo r", + "Ġdurum unda", + "Ġdurumu nda", + "Ġíıī ëĭ¹", + "Ġ ë´ī", + "Ġë´ ī", + "Ġp enÄĽ", + "Ġpe nÄĽ", + "Ġpen ÄĽ", + "Ú¯ اÙĨÛĮ", + "گاÙĨ ÛĮ", + "ĠK up", + "ĠKu p", + "Ġ ÑĨеÑĢ", + "ĠÑĨ еÑĢ", + "ĠÑĨе ÑĢ", + "ul ması", + "âij ł", + "ĠÑģÑĸÑĩ нÑı", + "ım ıza", + "ımız a", + "ımı za", + "å®ļ çļĦ", + "Âł ÑĤ", + "åĬŀ åħ¬", + "ìľ¼ ëĭĪ", + "ĠاÙĦ Ø¥ÙĨ", + "ĠاÙĦØ¥ ÙĨ", + "Ġ çĥ", + "Ġç ĥ", + "ãĢį ï¼Į", + "ÑĹ Ð½Ð°", + "ĠпÑĢигоÑĤов лениÑı", + "Ð ħ", + "ĠÑģ олн", + "ĠÑģол н", + "Ġë¶Ģ ìĤ°", + "æħ ¶", + "ãĤ ¾", + "v oje", + "vo je", + "voj e", + "ÛĮ دÙĨ", + "ÛĮد ÙĨ", + "ìĥĿ ëĭĺ", + "ç¹ ģ", + "á du", + "ád u", + ": ::::::::::::::", + ":: :::::::::::::", + ":::: :::::::::::", + ":::::: :::::::::", + ":::::::: :::::::", + "::: ::::::::::::", + "::::: ::::::::::", + "::::::: ::::::::", + "::::::::: ::::::", + ":::::::::: :::::", + "::::::::::: ::::", + ":::::::::::: :::", + "::::::::::::: ::", + ":::::::::::::: :", + "س ÙĨÚ¯", + "سÙĨ Ú¯", + "éĶ ĭ", + "Ġ звиÑĩай", + "Ġз виÑĩай", + "å§Ķåijĺ ä¼ļ", + "ĠμÎŃ Ïĥα", + "ĠÑĢ ождениÑı", + "æĪIJ 人", + "Ġ dÃŃl", + "Ġd ÃŃl", + "ĠdÃŃ l", + "ĠÐĶ об", + "ĠÐĶо б", + "Ġ à¹ĥà¸Ĭ", + "ÏĢ ί", + "g amber", + "gam ber", + "ĠÙĪÛĮÚĺ Ú¯ÛĮ", + "Ġ èĬ±", + "ĠèĬ ±", + "Ġb Ãły", + "ĠbÃł y", + "ĠжовÑĤ нÑı", + "åħ¬ å¼Ģ", + "ĠÑĤ оÑĩки", + "ĠÑĤо Ñĩки", + "ĠÑĤоÑĩ ки", + "ãģĤ ãģ®", + "а лÑĸв", + "ал Ñĸв", + "алÑĸ в", + "Ġch arakter", + "Ġchar akter", + "ĠÎĴ α", + "Ġzku Å¡en", + "Ġà¤Ńà¤Ĺ व", + "Ñĩ ика", + "Ñĩи ка", + "Ñĩик а", + "à¥Ģà¤Ĥ ।", + "è£ ı", + "åijĬ è¯ī", + "iy atı", + "iya tı", + "iyat ı", + "ĠÑĨ елÑĮ", + "ĠÑĨе лÑĮ", + "ĠÑĨел ÑĮ", + "Ġ ìĬĪ", + "ĠìĬ Ī", + "а ÑĢд", + "аÑĢ д", + "ĠÃľl ke", + "Ġpro since", + "Ġpros ince", + "ĠÙĨ گاÙĩ", + "ĠÙĨÚ¯ اÙĩ", + "ãĢĮ ãģĬ", + "ÎŁ Τ", + "ÎŁÎ ¤", + "ìĦľ ëĬĶ", + "ÙĪ گر", + "ض اÙĨ", + "ضا ÙĨ", + "Ġdů sled", + "çIJ ´", + "à¸ķำ à¹ģหà¸Ļ", + "к ÑĤÑĸв", + "кÑĤ Ñĸв", + "lád á", + "á¿ Ĩ", + "ĠD oÄŁu", + "ĠDo ÄŁu", + "ĠDoÄŁ u", + "ãģij ãĤĮãģ°", + "缮 ãĤĴ", + "Ġ 缴", + "ĠçĽ ´", + "æ Ľ°", + "æĽ °", + "ĠвÑĤоÑĢ ой", + "Ġг лÑĥ", + "ĠìĿ ½", + "기 ì¤Ģ", + "Ġma dde", + "Ġmad de", + "Ġmadd e", + "Ġjed né", + "Ġjedn é", + "Ġо ÑĦÑĸ", + "ìĭĿ ìĿĦ", + "Ġch út", + "Ġchú t", + "åĩº ãģĹãģŁ", + "åĩºãģĹ ãģŁ", + "и ÑĩеÑģкаÑı", + "иÑĩеÑģ каÑı", + "Ġ лок", + "Ġл ок", + "Ġal tı", + "Ġalt ı", + "ëĵľ ëĬĶ", + "ey gamber", + "ĠÑģв ое", + "ĠÑģво е", + "ĠtaÅŁ ım", + "ĠÑĤо Ñīо", + "Ġgeç ti", + "Ġpr emi", + "Ġpre mi", + "Ġprem i", + "ĠMeh met", + "ï¼Į åĽłæѤ", + "ï¼ĮåĽł æѤ", + "ί κη", + "ίκ η", + "Ġönce ki", + "Ġönc eki", + "Ġ à¤ķन", + "Ġà¤ķ न", + "ĠÑĤемп еÑĢаÑĤÑĥÑĢа", + "ĠÑĤемпеÑĢаÑĤÑĥ ÑĢа", + "éĺ ´", + "Ġìĸ¼ ë§Ī", + "Ø´ ب", + "á ky", + "ák y", + "ãĢĢ V", + "воÑĢ еннÑı", + "l asyon", + "las yon", + "Ġд оказ", + "Ġдо каз", + "Ġдок аз", + "Ġëľ »", + "Ġоб лиÑĩ", + "Ġобл иÑĩ", + "ÎĻ ÎijÎļ", + "ÎĻÎij Îļ", + "Ġ ÑĢазд", + "ĠÑĢаз д", + "ĠÑĢа зд", + "ï¼Į 为", + "å® ½", + "Ġk orum", + "Ġko rum", + "Ġkor um", + "åķĬ åķĬ", + "ĠÅĻe kla", + "ĠÅĻekl a", + "ĠÅĻek la", + "ãĥĹ ãĥ¬", + "Ġв аÑĢÑĤ", + "ĠваÑĢ ÑĤ", + "ĠпÑĢоблем Ñĭ", + "Ġ ä½ł", + "Ġth Æ¡m", + "Ġta kové", + "Ġtak ové", + "Ġtako vé", + "л енÑĭ", + "лен Ñĭ", + "ле нÑĭ", + "Ġ åĪ¶", + "ĠåĪ ¶", + "Ġji ných", + "Ġjin ých", + "Ġjiný ch", + "ĠÙĨ ص", + "ĠгÑĢÑĥд нÑı", + "Ġ ãģĹ", + "иÑĤелÑĮ ной", + "иÑĤелÑĮно й", + "ĠاØŃ ØªÙħ", + "Ñİ ÑĢ", + "ÏĨ Ïħ", + "Ġ Ø´ÙħاÙĦÛĮ", + "ĠØ´Ùħ اÙĦÛĮ", + "ĠØ´Ùħا ÙĦÛĮ", + "ĠØ´ÙħاÙĦ ÛĮ", + "Ġ ì»´", + "Ġì» ´", + "acaÄŁ ız", + "acaģı z", + "ì§Ģ ë§ī", + "ĠÑĦин анÑģов", + "Ġ ê·¹", + "Ġê· ¹", + "ĠÚĨ ÛĮزÛĮ", + "ĠÚĨÛĮز ÛĮ", + "à¥Ģ à¤Ľ", + "ص ات", + "ान म", + "Ġв озможно", + "Ġвозмож но", + "è¨ İ", + "çĦ ¦", + "ĠاÙĦبÙĦ د", + "Ġ çĶ³åįļ", + "ç¥ ¥", + "Ġë°Ķ ëĿ¼", + "Ú¯ ÛĮر", + "Ú¯ÛĮ ر", + "Ûµ Û°", + "μι οÏħÏģγ", + "ĠpÅĻed sed", + "ç»ı èIJ¥", + "å§ ij", + "e mey", + "em ey", + "eme y", + "ĠÙĨ ÙĪÙģ", + "ĠÙĨÙĪ Ùģ", + "å¾ ½", + "Ġprá va", + "Ġpráv a", + "Ġво обÑīе", + "Ġ íĭ°", + "Ġíĭ °", + "Ġب Ø£ÙĨ", + "Ġبأ ÙĨ", + "ĠFr anti", + "ĠFran ti", + "ĠP aÅŁa", + "ĠPa ÅŁa", + "ĠÙ¾ ست", + "Ġپس ت", + "k ân", + "ĠÑģиг н", + "Ġd ần", + "æ IJľ", + "æIJ ľ", + "Ġr oky", + "Ġro ky", + "Ġrok y", + "Ùĥ ÙĪر", + "ÙĥÙĪ ر", + "ĠÎĶ ή", + "али заÑĨии", + "ализ аÑĨии", + "ализа ÑĨии", + "ä¼ł å¥ĩ", + "ı da", + "lÃŃ b", + "ĠÑĢÑĸв нÑı", + "Ġн оÑı", + "Ġно Ñı", + "bÄĽ hu", + "bÄĽh u", + "ิà¸ĩห าà¸Ħม", + "ï¼Į åį´", + "Ġ ÑĩеÑģ", + "ĠÑĩ еÑģ", + "lan mÄ±ÅŁtır", + "lanmÄ±ÅŁ tır", + "Ġ Æ°á»Ľc", + "áv acÃŃ", + "ีฬ า", + "δ ÎŃ", + "âĢĮØ´ ÙĪÙĨد", + "Ġ ÑĢобÑĸÑĤ", + "ĠÑĢоб ÑĸÑĤ", + "Ġ å·´", + "Ġå· ´", + "ĠM ev", + "ĠMe v", + "ĠÙħرØŃ ÙĦÙĩ", + "Ġвз ÑĢоÑģ", + "ç½ ļ", + "Ġب اÙĦÙħ", + "Ġبا ÙĦÙħ", + "ĠباÙĦ Ùħ", + "Ġиз гоÑĤов", + "ĠS por", + "ĠSp or", + "ĠSpo r", + "åĦ Ģ", + "ĠاÙĦ Ø£ÙĨ", + "ĠاÙĦØ£ ÙĨ", + "à¹Īา à¸ĩà¸ģ", + "à¹Īาà¸ĩ à¸ģ", + "л аÑģÑĤи", + "ла ÑģÑĤи", + "лаÑģ ÑĤи", + "ÎŁ Îļ", + "ÎŁÎ ļ", + "Ġ Ú©ÛĮ", + "ĠÚ© ÛĮ", + "åij½ 令", + "ØŃ Ø¯Ø«", + "ØŃد Ø«", + "ÙĬ ÙĥÙĬ", + "ÙĬÙĥ ÙĬ", + "ĠпеÑĢв Ñĭй", + "ãĤ¹ ãĤ³", + "ĠÅ¡ pat", + "ĠÅ¡p at", + "Ġnik do", + "ั à¸ĩม", + "ัà¸ĩ ม", + "èµ «", + "æĺ ¨", + "Ġв Ñĥли", + "ĠвÑĥл и", + "ĠÐļ а", + "à¹Ī ละ", + "Ġsa mot", + "Ġsam ot", + "Ġsamo t", + "ĠобеÑģп е", + "ĠÙħعرÙģ ÛĮ", + "ĠÙħØŃصÙĪÙĦ ات", + "в анов", + "ва нов", + "ван ов", + "вано в", + "ĠÙħستÙĤ ÛĮÙħ", + "å¢ Ļ", + "Âł Ðļ", + "Ġд оÑĤ", + "Ġдо ÑĤ", + "z im", + "zi m", + "ÙIJ ر", + "Ġ Ø´ÙĪ", + "ĠØ´ ÙĪ", + "åľ¨ åľ°", + "Ġ çİ°", + "Ġçİ °", + "Ġ åĮĸ", + "ĠåĮ ĸ", + "ز ÙĪ", + "Ġyay gın", + "Ġо ÑĢиг", + "ĠоÑĢ иг", + "Ùı ÙĨ", + "Ġev rop", + "Ġ ï½ľ", + "Ġï½ ľ", + "Ġëħ¸ì¶ľ ëĵ±ë¡Ŀ", + "åĩ Ŀ", + "л еннÑĭÑħ", + "лен нÑĭÑħ", + "Ġje nom", + "Ġjen om", + "Ġ ЧÑĤобÑĭ", + "ĠЧ ÑĤобÑĭ", + "ĠЧÑĤо бÑĭ", + "ĠìĹĨ ëĭ¤", + "ĠìŬ ìĦ±", + "Ġres mi", + "im álnÃŃ", + "缮 ãģ®", + "s ian", + "si an", + "-ни бÑĥдÑĮ", + "ο κ", + "çĭ¬ ç«ĭ", + "ÅŁ ehir", + "åIJ IJ", + "åĪ¶ éĢł", + "Ġ ÎĶεν", + "ĠÎĶ εν", + "ĠÎĶε ν", + "ãĥĭ ãĥ¥", + "иÑĤелÑĮ нÑĭÑħ", + "Ġ ÙĥاÙħ", + "ĠÙĥ اÙħ", + "Ïģ κ", + "Ġr au", + "Ġra u", + "ĠÑģм еÑĢÑĤи", + "ĠÑģмеÑĢ ÑĤи", + "ĠÏĮ ÏĦαν", + "Ġ Tại", + "ĠT ại", + "Ġ رب", + "Ġر ب", + "ε νο", + "εν ο", + "ر دد", + "رد د", + "Ġ à¸ģระ", + "Ġà¸ģ ระ", + "Ġà¸ģร ะ", + "Ïĥ μο", + "Ïĥμ ο", + "Ġ æ¼Ķ", + "Ġæ¼ Ķ", + "ิà¸Ī à¸ģรรม", + "ĠÑĢаз ви", + "ĠÑĢазв и", + "ãĤ¹ ãĥļ", + "Ñĸ ÑĩноÑĹ", + "ÑĸÑĩ ноÑĹ", + "lá Å¡enÃŃ", + "láš enÃŃ", + "اب عة", + "ابع Ø©", + "ov ými", + "ový mi", + "ovým i", + "а нг", + "ан г", + "Ġкап ÑĸÑĤ", + "ãĢģ âĢĭ", + "íĸĪ ëįĺ", + "ĠÑĥ ÑģÑĸ", + "ĠÑĥÑģ Ñĸ", + "ย าว", + "ยา ว", + "Ø£ Ùħ", + "ãĥ© ãĥĥãĤ¯", + "Ġë ķ", + "ĠسÙĨ ÙĪات", + "ĠÑģÑĤаÑĤ ÑĮи", + "ĠÑģÑĤаÑĤÑĮ и", + "ÑĹ Ñħ", + "Ïģο Ïĩή", + "ĠØ£Ùĥ تÙĪبر", + "lan ma", + "Ġmal zem", + "ç £¨", + "ç£ ¨", + "Ġб окÑĥ", + "Ġбо кÑĥ", + "Ġбок Ñĥ", + "åŃĹ å¹ķ", + "ĠоÑĢганÑĸ за", + "ĠоÑĢганÑĸз а", + "ãĥ© ãĤ¤ãĥ³", + "ãĥ©ãĤ¤ ãĥ³", + "ĠÙħع دÙĨ", + "ĠÙħعد ÙĨ", + "çĶ· åŃIJ", + "Ġ æĤ", + "Ġæ Ĥ", + "Ạ¾", + "Ġmez iná", + "Ġmezi ná", + "и ваÑİÑĤ", + "ив аÑİÑĤ", + "ива ÑİÑĤ", + "ĠطبÛĮ عÛĮ", + "èĻ ij", + "à¤Ł र", + "Ġпод Ñģ", + "ĠÅŁ aÅŁ", + "à¸Ļ à¹Ĩ", + "ĠÅ¡ p", + "v ÄĽÅĻ", + "vÄĽ ÅĻ", + "з ÑĮ", + "ëĿ¼ ë§Ī", + "ุ à¸ĺ", + "âĢ¦ Ø·", + "리 ì§Ģ", + "âĦĸâĦĸ âĦĸâĦĸ", + "Ġb ức", + "ĠSp oj", + "ĠSpo j", + "ĠиÑģполÑĮзов ани", + "ĠиÑģполÑĮз овани", + "å·¦ åı³", + "en ler", + "ĠоÑī ÑĥÑī", + "Ġоб лÑĸ", + "Ġобл Ñĸ", + "ظ ËĨ", + "ÙĦ ÛĮس", + "ÙĦÛĮ س", + "æıIJ åįĩ", + "ĠговоÑĢ иÑĤÑĮ", + "ĠговоÑĢиÑĤ ÑĮ", + "Ġk ür", + "Ġkü r", + "Ġλ ειÏĦοÏħÏģγ", + "ла га", + "лаг а", + "ĠÑģÑĥ дÑĥ", + "ĠÑģÑĥд Ñĥ", + "Ġ 측", + "Ġì¸ ¡", + "θε Ïĥη", + "Ġ нен", + "Ġн ен", + "Ġне н", + "Ġbiç imde", + "Ġbiçim de", + "ÑĨÑĸй ноÑĹ", + "ÑĨÑĸйно ÑĹ", + "à¹Ģà¸Ħ ย", + "ĠDal Å¡ÃŃ", + "Ġи меÑĤÑĮ", + "Ġим еÑĤÑĮ", + "Ġиме ÑĤÑĮ", + "èĭ Ĺ", + "ĠÙħع رÙĪÙģ", + "Ġt ạp", + "Ġm eÅŁ", + "Ġme ÅŁ", + "Âł N", + "оÑĢ они", + "оÑĢон и", + "оÑĢо ни", + "ع Ùģ", + "à¹Ĥ รà¸ĩà¹Ģร", + "à¹Ĥรà¸ĩ à¹Ģร", + "âĶ ¬", + "Ġ à¹Ģà¸ŀราะ", + "Ġà¹Ģà¸ŀ ราะ", + "Ġèı² å¾ĭ宾", + "ÑģÑĤв енное", + "ÑģÑĤвен ное", + "ÑģÑĤвенно е", + "Ġاز دÙĪاج", + "ĠÑĦ ев", + "éł »", + "Ġ สล", + "Ġส ล", + "à¸ķ à¸Ńà¸Ļ", + "Ġ 기ê°Ħ", + "Ġ기 ê°Ħ", + "ä½ ©", + "ÏĦ ην", + "ÏĦη ν", + "ëĤ¬ ëĭ¤", + "ĠQ uy", + "ĠQu y", + "Ġë¶ Ļ", + "ĠС Ñĥд", + "и ж", + "Ġ à¹Ģà¸ģม", + "Ġà¹Ģà¸ģ ม", + "ĠÑģв ÑıÑĤ", + "ĠÑģвÑı ÑĤ", + "et ooth", + "eto oth", + "ε Ïģο", + "εÏģ ο", + "ÙĦ ÙħØ©", + "ÙĦÙħ Ø©", + "Ø´ ÙĪر", + "Ø´ÙĪ ر", + "Ġd omu", + "Ġdo mu", + "Ġdom u", + "èį Ĵ", + "m î", + "ëıĦ 를", + "ĠÑĢекомендÑĥ еÑĤÑģÑı", + "Ġsonra sında", + "Ġsonrası nda", + "Ġд нÑĸв", + "Ġç al", + "Ġça l", + "ãĤ«ãĥĨ ãĤ´ãĥª", + "Ġ еж", + "Ġе ж", + "Ġìķ ī", + "èī² çļĦ", + "âĢĻ nde", + "âĢĻn de", + "Ġ ÏĢÏīÏĤ", + "ĠÏĢ ÏīÏĤ", + "ĠÑĩеÑĤ веÑĢ", + "k ili", + "ki li", + "kil i", + "æĢ§ èĥ½", + "اد ÙĬØ©", + "ادÙĬ Ø©", + "çº ¯", + "ĠاÙĦ تش", + "ĠاÙĦت Ø´", + "ĠÑĤ ела", + "ĠÑĤе ла", + "ĠÑĤел а", + "Ġоб ÑĬем", + "ĠобÑĬ ем", + "å²Ĺ ä½į", + "Ġkon krét", + "Ġa rada", + "Ġar ada", + "Ġara da", + "ìĭľ ìĹIJ", + "Ġor anı", + "Ġoran ı", + "ر Ùĥ", + "ÐĽ ÐIJ", + "Ġ ménÄĽ", + "Ġmé nÄĽ", + "ج ÙĪÛĮ", + "جÙĪ ÛĮ", + "Ġv ợ", + "Ġvá» £", + "ĠAngiosper mae", + "èĥ İ", + "Ġh ôn", + "äºĭ æ¥Ń", + "ĠоÑĤ веÑĢ", + "ĠоÑĤв еÑĢ", + "Ġs rd", + "Ġsr d", + "Å¡ li", + "ส à¸ģ", + "æ¼ ı", + "ĠØ´ رØŃ", + "Ġشر ØŃ", + "ÑĨ Ñıми", + "ÑĨÑı ми", + "Ġs lav", + "Ġsl av", + "Ġsla v", + "Ġc eny", + "Ġce ny", + "Ġcen y", + "à¸Ń à¹Ģร", + "Ġ ÙĪÙĦد", + "ĠÙĪÙĦ د", + "Ġк оÑĢа", + "ĠкоÑĢ а", + "Ġко ÑĢа", + "Ġб ÑĢон", + ": .:.:.:.:", + ":.:.: .:.:", + ":.: .:.:.:", + "Ġne mus", + "Ġnem us", + "è¿Ļ æł·çļĦ", + "è¿Ļæł· çļĦ", + "Ġبر ÙĨاÙħج", + "Ġú plnÄĽ", + "ีà¸Ļ าà¸Ħม", + "Ġë°Ľ ìķĦ", + "με Ïģα", + "μεÏģ α", + "ç¼ ©", + "Ġn ắm", + "ĠобÑĬ ÑıÑģ", + "ĠконÑĤÑĢ олÑİ", + "á vajÃŃcÃŃ", + "ávajÃŃ cÃŃ", + "Ġk um", + "Ġku m", + "çĶ· 人", + "Ġv nitÅĻ", + "Ġب دÙĩ", + "Ġبد Ùĩ", + "Ġأب رÙĬÙĦ", + "人æ°ij åħ±åĴĮåĽ½", + "Ġyap ılır", + "Ġyapıl ır", + "Ġna Å¡ÃŃ", + "ĠnaÅ¡ ÃŃ", + "ãĥ¼ ãĥŃ", + "ãĥ¼ãĥ Ń", + "Ġt ạm", + "Ġhen üz", + "Ġz emi", + "Ġze mi", + "Ġzem i", + "Ġkh áng", + "Ġkhá ng", + "åħ¬ åħ±", + "Ġ èĢģ", + "ĠèĢ ģ", + "ĠعÙĪ اÙħÙĦ", + "Âł V", + "à¹ī à¹ģà¸ģ", + "άν ÏĦα", + "ĠÑĤÑĢав нÑı", + "Ġη μÎŃ", + "è´ ¸", + "ส à¸Ķ", + "Ġس Ùħت", + "ĠسÙħ ت", + "ĠØ® اک", + "ĠÑĤак ий", + "ĠÑĤа кий", + "Ġet tik", + "Ġett ik", + "Ġetti k", + "ĠÏĮ λ", + "Ġп оли", + "Ġпо ли", + "Ġпол и", + "Ġ нож", + "Ġн ож", + "Ġно ж", + "غ اÙĨ", + "ÙĨ دÙĬ", + "ÙĨد ÙĬ", + "ĠÄįty ÅĻi", + "ĠÄįtyÅĻ i", + "ĠPh Æ°Æ¡ng", + "ĠÙĪر زش", + "ĠÙĪرز Ø´", + "ãģĦ ãģĭ", + "r vé", + "rv é", + "Ġतर फ", + "Ġन à¤Ĺर", + "m asında", + "ma sında", + "mas ında", + "ması nda", + "е виÑĩ", + "ев иÑĩ", + "еви Ñĩ", + "ve ÅĻej", + "ä¿Ŀ æĮģ", + "æĬĢ èĥ½", + "æݨ èįIJ", + "l âm", + "Ġ Ïį", + "ĠÏ į", + "å¢ŀ éķ¿", + "Ġاص ÙģÙĩ", + "ĠÐĹак онÑĥ", + "ĠÐŁ ÑĢез", + "ĠÐŁÑĢ ез", + "Ġpod por", + "Ġpodp or", + "기 íĥĢ", + "Ġ íıIJ", + "Ġíı IJ", + "Ġ ëĭĪ", + "Ġëĭ Ī", + "lar ınız", + "ların ız", + "larını z", + "ãĥĸ ãĥŃ", + "ĠÑĦÑĢан ÑĨÑĥз", + "ãĥĬ ãĥ¼", + "Ġb eled", + "Ġbe led", + "Ġbel ed", + "Ġbele d", + "ัà¸Ļว าà¸Ħม", + "ĠÙģ رÙĪ", + "ĠÙģر ÙĪ", + "ÑĦ ÑĢов", + "ĠìĿ´ 룬", + "ượ u", + "Ġê³µ ìĭĿ", + "Ġbird en", + "Ġbir den", + "Ġз елен", + "Ġзел ен", + "çĴ ĥ", + "Ġh á»ĵng", + "Ġhá»ĵ ng", + "ĠÅ¡ kola", + "ĠÅ¡kol a", + "ĠÅ¡k ola", + "ĠÑģам ом", + "ĠÑģамо м", + "an lık", + "anlı k", + "空 éĹ´", + "åįĹ çľģ", + "л еÑĢг", + "ле ÑĢг", + "леÑĢ г", + "Ñĸз неÑģ", + "Âł A", + "ãĢį ãĤĴ", + "Ġkend ine", + "Ġkendi ne", + "Ġ اÙĪÙĨ", + "Ġا ÙĪÙĨ", + "ĠاÙĪ ÙĨ", + "ãĢ Ķ", + "ĠΣ Ïį", + "à¹Ģ à¸Ħล", + "à¹Ģà¸Ħ ล", + "å¥ ¶", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "Ġú Äįet", + "ĠúÄį et", + "Ñĥ ла", + "Ñĥл а", + "éĢļ ä¿¡", + "Ġì¦ IJ", + ". čĊĊ", + ".čĊ Ċ", + "ĠÐľ ед", + "ا عÙĬ", + "اع ÙĬ", + "Ġjeho ž", + "ĠGü ney", + "ĠGün ey", + "ĠÎij ÏĢο", + "ĠÎijÏĢ ο", + "Ġп олÑĸ", + "Ġпо лÑĸ", + "Ġпол Ñĸ", + "ü me", + "üm e", + "ho dob", + "hod ob", + "ĠÎĿ α", + "ĠØ¢ ÙĦات", + "ĠØ¢ÙĦ ات", + "ĠpÅĻ iz", + "ĠpÅĻi z", + "Ġt avs", + "Ġta vs", + "Ġtav s", + "Ġتب ÙĦÛĮ", + "ãĥ³ ãĥĶ", + "ãĥ³ãĥ Ķ", + "Ø® رج", + "خر ج", + "Ġак кÑĥ", + "Ġú prav", + "ĠاØŃ Ø³Ø§Ø³", + "ì¹´ ëĿ¼", + "ı mızı", + "ım ızı", + "ımız ı", + "ımı zı", + "Ġд окÑĥменÑĤ", + "Ġдок ÑĥменÑĤ", + "ĠдокÑĥм енÑĤ", + "Ġ اصÙĦ", + "Ġا صÙĦ", + "Ġاص ÙĦ", + "ظ Ùĩ", + "ĠìĿ¸ ê°Ħ", + "Ġج رÛĮاÙĨ", + "Ġجر ÛĮاÙĨ", + "Î¥ ÎĿ", + "ÑĩеÑģ каÑı", + "Ñĩе ÑģкаÑı", + "ÙĬ ÙĨÙĬØ©", + "ÙĬÙĨ ÙĬØ©", + "ÙĬÙĨÙĬ Ø©", + "åĴ ¨", + "æĹħ 游", + "Ġ à¸Īำà¸Ļวà¸Ļ", + "Ġà¸Īำ à¸Ļวà¸Ļ", + "Ġ анг", + "Ġа нг", + "Ġан г", + "Ïħ Ïĩ", + "èĻ «", + "ĠÙħ ÙĤر", + "ĠÙħÙĤ ر", + "ĠÙħÙĪسÛĮ ÙĤÛĮ", + "ut ut", + "ĠÐĽ е", + "ĠÐŁ ÑĸÑģлÑı", + "ãĤŃ ãĥ¼", + "ุล าà¸Ħม", + "åĩ ¡", + "ÏĢ οÏį", + "ÏĢο Ïį", + "ĠÃĸ dül", + "Ïĥ κ", + "Ġ ÑĨÑİ", + "ĠÑĨ Ñİ", + "Ñĭ ваÑı", + "Ñĭв аÑı", + "Ñĭва Ñı", + "ï½ŀ ï½ŀ", + "ĠØ´ ÙħاÙĦ", + "ĠØ´Ùħ اÙĦ", + "ĠØ´Ùħا ÙĦ", + "è¿ ħ", + "ĠبÙĦ Ú©Ùĩ", + "çİ Ľ", + "Ġì§Ģ ëĤĺ", + "ĠÙģ کر", + "ĠÑģÑĤеп ени", + "Ġна Ñĥки", + "ĠнаÑĥк и", + "çī© çIJĨ", + "ÄĽ le", + "ÄĽl e", + "Ġо ÑģкÑĸлÑĮки", + "ĠкÑĥлÑĮÑĤÑĥ ÑĢи", + "ĠкÑĥлÑĮÑĤÑĥÑĢ и", + "èĢĥ è¯ķ", + "Ġmateri ál", + "ĠÑģÑĤ воÑĢеннÑı", + "ĠÑģÑĤвоÑĢ еннÑı", + "Ġà¤ħ द", + "æıIJ åĩº", + "Ġè©ķ 価", + "ÙĴ د", + "Ġë§Įëĵ¤ ìĸ´", + "duÄŁu nu", + "duÄŁ unu", + "ÙĬ ÙĨÙĩ", + "ÙĬÙĨ Ùĩ", + "åĵ ¦", + "оÑĩ нÑĭÑħ", + "ĠÙħ ض", + "is mu", + "ism u", + "Ġ Ñĩай", + "ĠÑĩ ай", + "ĠÑĩа й", + "ÙĪ رÙĪب", + "ÙĪر ÙĪب", + "Ġ англ", + "Ġан гл", + "Ġанг л", + "oÄŁun luk", + "ĠпÑĢед пол", + "ĠÎŃ ÏīÏĤ", + "ส à¸ĸ", + "ĠÎķλλά δα", + "ĠBi lg", + "ĠBil g", + "Ġ بات", + "Ġب ات", + "Ġبا ت", + "ĠÐĽÑĮв Ñĸв", + "Ġyap ılması", + "Ġyapıl ması", + "æ£Ģ æŁ¥", + "æķ° åѦ", + "Ġ :.:", + "Ġ: .:", + "Ġ:. :", + "Ġ çİ©", + "Ġçİ ©", + "Îļ α", + "à¹Ģà¸Ĺ à¸Ħà¹Ĥà¸Ļà¹Ĥลย", + "Ġساخت ÙħاÙĨ", + "ĠìĨĮ 리", + "é¼ »", + "Ġs mr", + "Ġsm r", + "Ġëĭ¤ìĸij íķľ", + "Ġjed nánÃŃ", + "Ġjedn ánÃŃ", + "Ġjedná nÃŃ", + "Ġserv isi", + "Ġservi si", + "Ġservis i", + "Ġey lem", + "Ġм али", + "Ġмал и", + "Ġма ли", + "Ġvý hod", + "éĻ¤ äºĨ", + "ĠпоÑĢÑıд кÑĥ", + "Ġn ový", + "Ġno vý", + "Ġnov ý", + "å¤ ķ", + "ĠнекоÑĤоÑĢ Ñĭе", + "Ġ^ {}", + "Ġ^{ }", + "γÏī γ", + "Ñĥ ÑĪки", + "ÑĥÑĪ ки", + "Ġp sik", + "Ġps ik", + "Ġpsi k", + "ĠíĶĦ 리", + "Ø´ اء", + "Ġ ван", + "Ġв ан", + "Ġва н", + "Ġس ÙĥاÙĨ", + "ç¢ ¼", + "ĠÎľ η", + "ĠÑĥÑĢов енÑĮ", + "ãĤµ ãĥ¼", + "ĠاÙĦب ØŃر", + "Ġd nÃŃ", + "Ġdn ÃŃ", + "à¸ģาร ศ", + "e diÄŁi", + "edi ÄŁi", + "Ġbelir li", + "Ùĭ ØĮ", + "ĠzamÄĽst nan", + "ĠzamÄĽstn an", + "æŁ ±", + "ا ÙģÙĬ", + "اÙģ ÙĬ", + "Ġh ải", + "æĢĿ æĥ³", + "Ġn eler", + "Ġne ler", + "Ġnel er", + "Ġرس ÙħÛĮ", + "ĠرسÙħ ÛĮ", + "Ñģ еÑĢ", + "Ñģе ÑĢ", + "ãģĵãģ¨ ãģ§", + "ĠZá kladnÃŃ", + "л ова", + "ло ва", + "лов а", + "к ÑĤÑĥ", + "кÑĤ Ñĥ", + "ÙĪس Ùģ", + "Ñĸб лÑĸ", + "Ì Ĥ", + "ÑĢ д", + "éĻ ³", + "æį ·", + "ĠyaÅŁ ayan", + "à¥ģ à¤ļ", + "à¥ģठļ", + "ÑĸÑĤ ÑĤÑı", + "Ġb á»ģ", + "ëĤĺ ëĿ¼", + "Ġм ÑıÑģ", + "Ġ{ [%", + "Ġ{[ %", + "θ α", + "Ġдоз волÑı", + "Ġдозвол Ñı", + "Ġ åIJĦ", + "ĠåIJ Ħ", + "ĠÐŁ еÑĢв", + "ĠÐŁÐµÑĢ в", + "ĠSaÄŁ lık", + "ÑģÑĤоÑĢ иÑı", + "Ġbun lar", + "Ġs á»ķ", + "़ à¥į", + "Ġ åĪ©", + "ĠåĪ ©", + "ĠÑģ поÑģ", + "ĠÑģп оÑģ", + "Ġyap tır", + "Ġyaptı r", + "Ġt Æ°á»Ŀng", + "ÙĪ ÙĨØ©", + "ÙĪÙĨ Ø©", + "Ġ еп", + "Ġе п", + "ãģ§ãģį ãģªãģĦ", + "Ùģ تÙħ", + "Ùģت Ùħ", + "ĠÐĵ ол", + "íķĺ ì§Ģë§Į", + "íķĺì§Ģ ë§Į", + "Ġì§Ħ ì§ľ", + "Ġob jedn", + "Ġobj edn", + "Ġизмен ениÑı", + "女 人", + "Ġпл ани", + "Ġпла ни", + "Ġплан и", + "ĠFak ült", + "Ġt zv", + "Ġtz v", + "ĠобÑıз аÑĤелÑĮ", + "Ġблиз ÑĮко", + "r ası", + "ra sı", + "ras ı", + "ĠεÏĢί ÏĥηÏĤ", + "ĠÑĦак ÑĤи", + "ĠÑĦакÑĤ и", + "ĠÄIJ ặc", + "ĠAlt ın", + "л иÑĤ", + "ли ÑĤ", + "Ġл ÑĸÑģ", + "ĠлÑĸ Ñģ", + "çī §", + "Ġп ÑĥÑģÑĤ", + "ĠпÑĥ ÑģÑĤ", + "Ġком ÑĸÑģ", + "ä¿Ŀ éļľ", + "åħ· ä½ĵ", + "- ÑĤ", + "Ġtr hu", + "Ġtrh u", + "Ġâī Ī", + "Ġдека бÑĢÑı", + "ĠÑĦоÑĢм Ñĭ", + "ĠÑĦоÑĢ мÑĭ", + "Ng oÃłi", + "Ġdo hod", + "رÙĬ ÙĥÙĬØ©", + "رÙĬÙĥ ÙĬØ©", + "رÙĬÙĥÙĬ Ø©", + "ĠØ¢ÙħÙĪز Ø´ÛĮ", + "ĠØ¢ÙħÙĪزش ÛĮ", + "ĠzajÃŃm av", + "Ġkat ılım", + "Ġkatıl ım", + "ä¸ ĺ", + "Ġko num", + "Ġkon um", + "Ġkonu m", + "Ġм оÑĩ", + "Ġмо Ñĩ", + "ãĥ³ ãĥķ", + "ãĥ³ãĥ ķ", + "диви дÑĥ", + "Ġ äºļ", + "Ġ æĴ", + "Ġæ Ĵ", + "γÏģά ÏĨ", + "ãĥIJ ãĤ¹", + "Ġп Ñĥнк", + "ĠBir leÅŁik", + "Ġqu en", + "Ġque n", + "Ġq uen", + "Ġв каз", + "Ġвк аз", + "à¥ĩ शà¤ķ", + "à¥ĩश à¤ķ", + "ĠY unan", + "ĠYu nan", + "ĠYun an", + "ãģł ãģ¨", + "Û±Û¹ Û·", + "á ty", + "át y", + "Ġ ÙĪص", + "ĠÙĪ ص", + "Ġнег аÑĤив", + "ãģ¤ ãģ®", + "Ġ åĬ¨", + "ĠåĬ ¨", + "ãĥį ãĥĥãĥĪ", + "Ġд Ñĸй", + "ĠдÑĸ й", + "ĠbaÅŁ ında", + "Ġtr Æ°ng", + "Ġm akin", + "Ġma kin", + "Ġmak in", + "Ġ æĦĽ", + "ĠæĦ Ľ", + "м еÑĩ", + "ме Ñĩ", + "Ġ è¿ij", + "Ġè¿ ij", + "ÙĤ در", + "ÙĤد ر", + "Ġاست اÙĨد", + "ĠاستاÙĨ د", + "Ġinform acÃŃ", + "ार à¤ķ", + "è¬ Ŀ", + "ÑĢаб аÑĤ", + "Ġ çŃĶ", + "Ġç ŃĶ", + "ĠçŃ Ķ", + "Ġ èĩ³", + "Ġèĩ ³", + "Ġп олÑĮ", + "Ġпо лÑĮ", + "Ġпол ÑĮ", + "ĠÙĩÙĨ ر", + "ëĮĢ ë¹Ħ", + "Ġخارج ÛĮ", + "r act", + "ra ct", + "rac t", + "ãĢĤ ãģĵãĤĮ", + "ĠØ´ÙĪر اÛĮ", + "л енно", + "лен но", + "Ġh isset", + "Ġhis set", + "Ġhiss et", + "Ġc Ãłi", + "ĠcÃł i", + "ĠÑĦ оÑĤо", + "ĠÑĦоÑĤ о", + "æģ Ĵ", + "Ġмед иÑĨин", + "Ġмеди ÑĨин", + "ÑģÑĤ вÑĸ", + "ÑģÑĤв Ñĸ", + "ĠاÙĦ عÙĦ", + "ĠاÙĦع ÙĦ", + "ĠпиÑģÑĮ мен", + "ãĢĤ ãģ¾ãģŁ", + "Ġvlast nÄĽ", + "Ġп ода", + "Ġпо да", + "Ġпод а", + "Ïģ οι", + "Ïģο ι", + "Ġ ìĦĿ", + "ĠìĦ Ŀ", + "ĠìĿ¼ ìĿ´", + "Ġ ìĽĮ", + "ĠìĽ Į", + "ок Ñģи", + "окÑģ и", + "Ġos oby", + "Ġosob y", + "ÐŁÐ¾Ñģ ле", + "ĠÑĸÑģÑĤоÑĢ ÑĸÑĹ", + "ع ÙĦÙī", + "عÙĦ Ùī", + "н ка", + "ت Ùħبر", + "تÙħ بر", + "à¥ĩ हर", + "à¥ĩह र", + "ĠJ ana", + "ĠJan a", + "ĠJa na", + "ÙĦ ÙĬات", + "ÙĦÙĬ ات", + "ĠмаÑĢ ÑĤа", + "ĠÐļи ÑĶ", + "ĠÑĢоб оÑĤÑĥ", + "ĠÑĢобоÑĤ Ñĥ", + "Ġnh ấn", + "и Ñģлов", + "иÑģ лов", + "ëŁ Ń", + "Ġo dv", + "Ġod v", + "ĠT á»īnh", + "âĢľ ê·¸", + "ãģ» ãģĨ", + "é² ľ", + "м еÑĨÑĮ", + "ме ÑĨÑĮ", + "า ศาสà¸ķร", + "าศ าสà¸ķร", + "à¥ģ à¤ĵ", + "à¥ģठĵ", + "ิ à¸Ļà¸Ĺ", + "ิà¸Ļ à¸Ĺ", + "m ada", + "ma da", + "mad a", + "ز اÙħ", + "زا Ùħ", + "ĠÙĥ بÙĬر", + "å®ŀ æĸ½", + "ze ÅĪ", + "Ġl ái", + "Ġlá i", + "Ïĥ μα", + "Ïĥμ α", + "ا سات", + "اس ات", + "ÑĦ ÑĤ", + "è° ±", + "çĮ ľ", + "Ġpro bÃŃ", + "Ġprob ÃŃ", + "æľĢ è¿ij", + "ÑĢ ад", + "ÑĢаР´", + "ÑĢа д", + "ãĤ½ ãĥ³", + "Ġ клад", + "Ġк лад", + "Ġкл ад", + "Ġкла д", + "à¥ľ à¤ķ", + "é v", + "ล าย", + "ลา ย", + "èİ İ", + "ĠμÎŃ ÏĩÏģι", + "Ġ кÑĥÑģ", + "Ġк ÑĥÑģ", + "ĠкÑĥ Ñģ", + "Ġ íĻĺê²½", + "ĠíĻĺ ê²½", + "Ñĩ оÑĹ", + "åıĺ åĮĸ", + "Ġب تÙĪاÙĨ", + "Ġبت ÙĪاÙĨ", + "Ġt ắt", + "Ġgöster en", + "а лÑİ", + "ал Ñİ", + "Ġкоман ди", + "Ġкоманд и", + "Ġ 컨", + "Ġì» ¨", + "Ñĥ нд", + "Ñĥн д", + "Ġج ÙĦÙĪ", + "ĠجÙĦ ÙĪ", + "åŃIJ çļĦ", + "ĠÑģ б", + "ĠÐł аÑģ", + "ĠÐłÐ° Ñģ", + "P CP", + "PC P", + "ĠCumhur baÅŁ", + "од аÑĤелÑĮ", + "ÃŃ sto", + "ÃŃs to", + "ÃŃst o", + "Ġo znám", + "Ġoz nám", + "ãĥ¼ ãĥĭ", + "ãĥ¼ãĥ ĭ", + "Ġok uy", + "Ġoku y", + "o phy", + "op hy", + "oph y", + "า à¸Ļà¸Ħร", + "าà¸Ļ à¸Ħร", + "ĠÎķ θν", + "ay ım", + "ayı m", + "Ùİ Ø£", + "æİ ¡", + "Ġfunk ce", + "Ġfunkc e", + "æļ ĸ", + "Ø· ار", + "ĠÐĿ аг", + "ĠÐĿа г", + "Ġ ä¸ĩåĨĨ", + "Ġä¸ĩ åĨĨ", + "Ġ íĴį", + "ĠíĴ į", + "Ġ ä½ı", + "Ġ ï¼İ", + "Ġï¼ İ", + "Ñĭ ваÑİÑĤÑģÑı", + "Ñĭв аÑİÑĤÑģÑı", + "Ñĭва ÑİÑĤÑģÑı", + "ÑĭваÑİÑĤ ÑģÑı", + "ĠP la", + "ĠPl a", + "ا ÙĬÙĦ", + "اÙĬ ÙĦ", + "Ġ무 ìĹĩ", + "Ġкон еÑĩно", + "к м", + "à¤Ĥ पर", + "à¤Ĥप र", + "Ġ ìłķë¶Ģ", + "Ġìłķ ë¶Ģ", + "ĠëĤ´ 볤", + "ãĤ° ãĥ«", + "çģ °", + "Ġc yk", + "Ġcy k", + "Ġжел Ñĥд", + "ĠëĨĴ ìĿĢ", + "çĶŁ åij½", + "æµ ´", + "Ġart Ä±ÅŁ", + "Ġ Ðĩ", + "ĠÐ ĩ", + "ï¼ ²", + "e kim", + "ek im", + "eki m", + "ĠÑĦ едеÑĢа", + "ĠвеÑĢеÑģ нÑı", + "н иÑĤе", + "ни ÑĤе", + "ниÑĤ е", + "ĠÄ°ÅŁ te", + "ĠÙĪضع ÛĮت", + "ãģķ ãģ¾", + "ĠtÅĻ etÃŃ", + "ĠtÅĻet ÃŃ", + "u luÄŁ", + "ulu ÄŁ", + "ĠCumhur iyet", + "ä¼ Ł", + "Ġ ë§Ŀ", + "Ġë§ Ŀ", + "Ġver mek", + "Ġverm ek", + "Ġn alez", + "Ġna lez", + "Ġnal ez", + "Ġnale z", + "çĵ ¶", + "Ġd iÅŁ", + "Ġdi ÅŁ", + "ĠH á»ĵng", + "ĠHá»ĵ ng", + "غ ÙĬرة", + "غÙĬر Ø©", + "å© Ĩ", + "н ив", + "ни в", + "Ġr út", + "' nda", + "'n da", + "Ġh roz", + "Ġhr oz", + "à¥ī प", + "Ġза коном", + "Ġзак оном", + "Ġзакон ом", + "Ġзако ном", + "Ġjed nu", + "Ġjedn u", + "ĠKa dın", + "ĠKad ın", + "in dir", + "ind ir", + "indi r", + "س ازÛĮ", + "åĮº åŁŁ", + "ĠkonuÅŁ tu", + "Ġز ÙĨد", + "ĠزÙĨ د", + "ा ĊĊ", + "ाĊ Ċ", + "ĠÐIJ з", + "à¸ĩ à¸Ĥà¸Ńà¸ĩ", + "à¸ĩà¸Ĥ à¸Ńà¸ĩ", + "ĠÑģвой ÑģÑĤва", + "Ġìŀij íĴĪ", + "пе ки", + "Ġ å°±", + "Ġå° ±", + "ев ого", + "ево го", + "ĠtaÅŁ ıy", + "ĠÙħÙĨ Ø·ÙĤØ©", + "ĠÙħÙĨØ· ÙĤØ©", + "ĠÃĩ ocuk", + "Û² Û·", + "ĠÏĥÏħ μÏĢ", + "é£Ł åĵģ", + "h á", + "ï¼ ¯", + "ÙĦ ÙħÙĩ", + "ÙĦÙħ Ùĩ", + "ãģ¨ãģª ãģ£ãģŁ", + "о ÑĢÑĸ", + "оÑĢ Ñĸ", + "° }", + "ĠtaÅŁ ın", + "çŁ ¿", + "ĠÑĩаÑģÑĤ ини", + "ĠÑĩаÑģÑĤи ни", + "ĠدÙĬ سÙħبر", + "Ġ èī¯", + "Ġèī ¯", + "st ÅĻÃŃ", + "Ġ ÑĨик", + "ĠÑĨ ик", + "ĠÑĨи к", + "âĢķâĢķ âĢķâĢķ", + "ĠÄ°ng iltere", + "ĠÑģÑĤ ÑĢаÑĤег", + "ĠÑģÑĤÑĢ аÑĤег", + "ÃĦ Ÿ", + "и Ñĩного", + "иÑĩ ного", + "иÑĩно го", + "ÃŃ rk", + "ÃŃr k", + "ĠÎij Ïģ", + "! âĢľĊĊ", + "!âĢľ ĊĊ", + "Ġ 깨", + "Ġê¹ ¨", + "à¥ģà¤Ĩ त", + "ĠدÙĨÛĮ ا", + "ĠدÙĨ ÛĮا", + "l ÃŃn", + "lÃŃ n", + "Ġà¤ķ ड", + "ĠÙħ بت", + "ĠÙħب ت", + "ем ÑĭÑħ", + "о би", + "об и", + "ย à¸Ļà¸ķ", + "ยà¸Ļ à¸ķ", + "à¤Ĥध न", + "ÚĨ ÛĮ", + "Ġ çŁ¥", + "Ġç Ł¥", + "ĠçŁ ¥", + "ĠXu ân", + "a daki", + "ad aki", + "ada ki", + "Ġ orta", + "Ġor ta", + "Ġort a", + "æł¹ æľ¬", + "åħ± åIJĮ", + "н ений", + "не ний", + "нен ий", + "ب ÙĬرة", + "بÙĬ رة", + "بÙĬر Ø©", + "çŃ ĭ", + "ïº Ķ", + "âĢĮ ÙĩاÙĬ", + "âĢĮÙĩا ÙĬ", + "Ġö deme", + "Ġödem e", + "ĠØ¢ÙĨ ÚĨÙĩ", + "Ġза Ñıви", + "ĠзаÑıв и", + "ĠÙĨÙĤ Ø´Ùĩ", + "ĠÙĨÙĤØ´ Ùĩ", + "Ġ ç³»", + "Ġç ³»", + "Ġç³ »", + "à¥ĭ ।", + "Ġì§Ģ ìłķ", + "Ġin sp", + "Ġins p", + "Ġ ÑĤен", + "ĠÑĤ ен", + "ĠÑĤе н", + "Ġت Ø·", + "Ġqu ảng", + "Ġquả ng", + "Ġquản g", + "åī £", + "ãģı ãģ®", + "ĠÑĨ им", + "ĠÑĨи м", + "k ovi", + "ko vi", + "kov i", + "i yah", + "iy ah", + "iya h", + "Ġ ëIJľëĭ¤", + "ĠëIJľ ëĭ¤", + "ص Ùĩ", + "ĠÄij u", + "Ġsu á»ijt", + "ı ma", + "ım a", + "ì§Ģ ê³ł", + "Ì ĥ", + "à¸ļ าย", + "ĠCert if", + "ĠCer tif", + "ĠÑĥÑģ ÑĸÑħ", + "ĠÑĥÑģÑĸ Ñħ", + "à¸ķะ ว", + "εί ÏĦε", + "Ġ č", + "Ġмож ливÑĸÑģÑĤÑĮ", + "Ġможлив ÑĸÑģÑĤÑĮ", + "Ġ -âĢIJ", + "Ġ- âĢIJ", + "Ġ íĺ¹", + "Ġíĺ ¹", + "ìĤ¬ ì§Ħ", + "Ġд аниÑħ", + "Ġда ниÑħ", + "Ġдан иÑħ", + "Ġzah áj", + "주 ëĬĶ", + "Ġг ид", + "n iž", + "ni ž", + "Ġ^{ °}", + "Ġk ro", + "Ġkr o", + "Äį en", + "Äįe n", + "ÏĨ ι", + "ımız da", + "Ġ æ¹ĸ", + "Ġæ¹ ĸ", + "Ġпов ÑĢежд", + "Ġì¡´ ìŀ¬", + "à¸Ļ าà¸Ļ", + "à¸Ļา à¸Ļ", + "μÎŃ Î½Î¿ÏĤ", + "μÎŃν οÏĤ", + "μÎŃνο ÏĤ", + "æ½ ľ", + "ï¼Į 使", + "Ġd osp", + "Ġdo sp", + "Ġdos p", + "Ġl iá»ģn", + "Ġli á»ģn", + "ัà¸ļ à¸Ħวาม", + "ัà¸ļà¸Ħ วาม", + "ĠÑĢабоÑĤ е", + "ĠÑĢаб оÑĤе", + "ĠÑĢабо ÑĤе", + "Ġмай бÑĥÑĤ", + "à¹Ģà¸ģ ษ", + "B aÅŁ", + "Ba ÅŁ", + "Ġ æĿ±äº¬", + "ĠæĿ± 京", + "наÑĩ ала", + "δ ει", + "δε ι", + "à¥Ī प", + "Ñĸ мÑĸ", + "Ñĸм Ñĸ", + "Ġf izik", + "Ġfi zik", + "Ġfiz ik", + "ว ล", + "ä¼ į", + "Ġ à¸Ĭà¸Ļะ", + "Ġà¸Ĭ à¸Ļะ", + "' ÑıÑĤ", + "'Ñı ÑĤ", + "н ил", + "ни л", + "и нов", + "ин ов", + "ĠÄijo án", + "รว à¸Ī", + "f et", + "fe t", + "à¹Į à¹Ĥ", + "Ġ маÑĤи", + "Ġм аÑĤи", + "ĠмаÑĤ и", + "Ġма ÑĤи", + "é¨ İ", + "Ðļ Т", + "à¹Ģส à¸Ļà¸Ń", + "à¹Ģสà¸Ļ à¸Ń", + "Ġм ав", + "Ġма в", + "lı ģına", + "lıģı na", + "lıģ ına", + "lıģın a", + "Ġпо Ñĩина", + "ĠпоÑĩ ина", + "ู à¸ķร", + "ูà¸ķ ร", + "ÑĨ еÑĢ", + "ÑĨе ÑĢ", + "uj ete", + "uje te", + "ujet e", + "Ġtah min", + "Ġвим ог", + "า à¸Ł", + "าภŁ", + "е дж", + "ед ж", + "ÏĦ εÏį", + "ÏĦε Ïį", + "ad la", + "ĠÄij Æ°Æ¡ng", + "Ġد استاÙĨ", + "Ġbas ın", + "Ġba sın", + "ĠÑħ в", + "Ġ reak", + "Ġre ak", + "ĠоÑĤ меÑĤ", + "æ³ ¥", + "Ġm áte", + "Ġmá te", + "Ġmát e", + "Ġzo run", + "Ġzor un", + "ãģ¨æĢĿ ãģĨ", + "Ġدر جة", + "ĠвÑĸд ÑģÑĥÑĤ", + "Ġع اÙħÙĦ", + "ĠعاÙħ ÙĦ", + "èĶ µ", + "Ġson raki", + "Ġsonra ki", + "Ġmoh li", + "Ġmohl i", + "и ваеÑĤ", + "ив аеÑĤ", + "ива еÑĤ", + "ĠпÑĸд ÑģÑĤав", + "Ġost rov", + "Ġostr ov", + "ान व", + "âĢŀ P", + "Ġви знаÑĩа", + "ĠвизнаÑĩ а", + "Ġprav dÄĽpodob", + "Ġz az", + "Ġza z", + "ìĿ´ 를", + "Ġдж еÑĢ", + "ĠÐł ад", + "ĠÐłÐ° д", + "ĠÑģеÑĢÑĮ ез", + "Ġ дем", + "Ġд ем", + "Ġде м", + "ÏĢ ή", + "ĠÐĦ вÑĢоп", + "ĠÐĦв ÑĢоп", + "ĠÄįesk é", + "ĠÄįe ské", + "ï¾ ı", + "Ġ ØŃÙĬ", + "ĠØŃ ÙĬ", + "ì¼ ĢìĿ´", + "ì¼Ģ ìĿ´", + "ĠØ® ÙĪÙĨ", + "ĠØ®ÙĪ ÙĨ", + "Âł L", + "ãģĦ ãģ«", + "из неÑģ", + "ĠÙħ ÙĤاÙħ", + "ĠÙħÙĤ اÙħ", + "ĠاÙĦ ØŃÙĦ", + "ĠاÙĦØŃ ÙĦ", + "ëĨ į", + "ĠØ¢ ÛĮا", + "ĠØ¢ÛĮ ا", + "ç¿ ¼", + "ï¼ ½", + "æ¸ IJ", + "ли вÑĸ", + "лив Ñĸ", + "ãģĦ ãģ¦ãģĦãĤĭ", + "ãģĦãģ¦ ãģĦãĤĭ", + "Ġ ÎijÎł", + "ĠÎij Îł", + "ĠиÑģполÑĮз ÑĥеÑĤÑģÑı", + "ĠиÑģполÑĮзÑĥ еÑĤÑģÑı", + "Ġm át", + "Ġmá t", + "Ġμε γά", + "Ġμεγ ά", + "ëħ ¼", + "æµ· éģĵ", + "ĠÙħØ´Ú© ÙĦات", + "ĠÙħØ´Ú©ÙĦ ات", + "Ñĩ на", + "'; ';", + "Ġ μία", + "Ġμ ία", + "Ïģ Ïİν", + "ÏģÏİ Î½", + "Ġby ste", + "ĠÑįлек ÑĤÑĢи", + "ĠÑįлекÑĤÑĢ и", + "ĠY ardım", + "ĠYard ım", + "ĠYar dım", + "Ġh át", + "Ġhá t", + "ĠÐĶ еÑĢжав", + ". С", + "Ġo rada", + "Ġor ada", + "Ġora da", + "Ġal anı", + "Ġalan ı", + "åľ° åŁŁ", + "ĠدÙĩ ÙĨد", + "мен ÑĪ", + "ĠоÑĢг анов", + "ĠоÑĢган ов", + "Ġع ص", + "ู à¸ĩส", + "ูà¸ĩ ส", + "ĠØ´ عر", + "Ġشع ر", + "Ġìĸ »", + "Ġά λλ", + "Ġάλ λ", + "Ġg ói", + "Ġgó i", + "ĠÙĨ اØŃ", + "å¼ ĺ", + "à¥įथ ल", + "i lim", + "il im", + "ili m", + "ëIJĺ ì§Ģ", + "Ġкон ÑĨе", + "ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł", + "Ġì¤Ģ ë¹Ħ", + "Ġostat nÃŃ", + "Ġvlá dy", + "Ġvlád y", + "ĠÑģо биÑĢа", + "ĠÑģоб иÑĢа", + "ĠìĹŃ ìĤ¬", + "à¹ģ à¸ģรม", + "à¹ģà¸ģ รม", + ". ï¼ı", + "Ùı ÙĪÙĨ", + "ÙıÙĪ ÙĨ", + "Ù¾ س", + "ĠW ikip", + "ĠWi kip", + "ĠWiki p", + "ĠWik ip", + "Ġ æ¾", + "Ġæ ¾", + "Ġж аÑĢ", + "容 æĺĵ", + "ĠprostÅĻed nictvÃŃm", + "Ġž eny", + "Ġže ny", + "Ġžen y", + "Ġèı²å¾ĭ宾 çĶ³åįļ", + "а ÑİÑĤÑģÑı", + "аÑİÑĤ ÑģÑı", + "Ġm iêu", + "Ġmi êu", + "Ġp enÃŃze", + "δ ιά", + "δι ά", + "ol dur", + "old ur", + "ĠпÑĢимеÑĢ но", + "ĠìŀĪ ê³ł", + "à¸ĩ à¸Ńย", + "к овий", + "ко вий", + "ков ий", + ". ÎŁ", + "à¹ĥ à¸Ħร", + "çĭ ł", + "ĠÐŁ Ñĸв", + "æĶ¹ éĿ©", + "ĠÐĿаÑģ еление", + "Å¡et ÅĻ", + "ÙĴ ب", + "Ġ âĶĢ", + "ĠâĶ Ģ", + "غ ÙĬÙĦ", + "ĠдÑĸÑıлÑĮ нÑĸÑģÑĤÑĮ", + "ĠÙĦ ÙĬس", + "ĠÙĦÙĬ س", + "Ġìĭľ ìŀ¥", + "ãĥŁ ãĥ¥", + "ĠÚ© ÙĪت", + "ĠÚ©ÙĪ ت", + "ĠÎĵ ι", + "ิ à¹Ģว", + "e ktor", + "ek tor", + "ekt or", + "ĠбÑĥд Ñĥ", + "ĠбÑĥ дÑĥ", + "но важ", + "нов аж", + "нова ж", + "Ñī аеÑĤÑģÑı", + "Ñīа еÑĤÑģÑı", + "Ġng ôn", + "ĠvÄĽ c", + "å¾ IJ", + "à¸Ńà¹Ģม ร", + "ัà¸į à¸Ĭ", + "ĠиÑģполÑĮз ÑĥÑİÑĤ", + "ĠиÑģполÑĮзÑĥ ÑİÑĤ", + "r ubu", + "ru bu", + "rub u", + "Ġnh á»±a", + "ãģĮ ãģĬ", + "ĠÐĵ аÑĢ", + "о ÑĢе", + "оÑĢ е", + "Ġз олоÑĤ", + "æ Ł³", + "æŁ ³", + "Ġ ÙĬØ´", + "ĠÙĬ Ø´", + "Ġповин нÑĸ", + "اÙĤ تص", + "ÙĦ ØŃ", + "ĠокÑĤ ÑıбÑĢÑı", + "ĠnÄĽk dy", + "Ġо бÑĢа", + "Ġоб ÑĢа", + "ست Ú¯ÛĮ", + "符 åIJĪ", + "Ġth iá»ĥu", + "æĺ¯ ä»Ģä¹Ī", + "Ġro zs", + "Ġroz s", + "ì½ľ 걸", + "Ġк аÑĦ", + "Ġка ÑĦ", + "åIJĮ æŃ¥", + "ì¼ ĵ", + "ÏĢ ÏĦÏħ", + "à¸ł ายà¹ĥà¸Ļ", + "ι ÏĥÏĦή", + "ιÏĥ ÏĦή", + "ĠدÙĪÙĦ ار", + "ĠÙħا ÙĬÙĪ", + "ĠÙħاÙĬ ÙĪ", + "Ġ peÄį", + "Ġp eÄį", + "Ġpe Äį", + "ัà¸ļ ม", + "ÎĻ ÎĶ", + "ı ydı", + "ıy dı", + "ัà¸ģ à¸Ĺ", + "à¸Ľà¸£à¸° à¸ĸม", + "κ αι", + "κα ι", + "Ġpro dej", + "Ġprod ej", + "ĠиÑİ Ð»Ñı", + "Ġv Å©", + "é© ±", + "Ġh vÄĽ", + "Ġhv ÄĽ", + "æĥ³ è¦ģ", + "ç¯ Ħ", + "ç ak", + "ça k", + "Ġм Ñıг", + "ım ın", + "ımı n", + "Ġdisp ozici", + "Ġu kaz", + "Ġuk az", + "r acak", + "ra cak", + "rac ak", + "Ġболез ни", + "ว à¹Ĥม", + "Ġз ел", + "ĠÐĴ ики", + "ĠÐĴи ки", + "ĠÐĴик и", + "ĠÐł од", + "ูà¸ģ à¸Ħ", + "í ij¸", + "Ġth ải", + "ĠbaÄŁ ımsız", + "ĠÑĢоÑģ Ñģий", + "ĠÐļ ам", + "ĠÐļа м", + "ĠиÑģполÑĮзов аниÑı", + "ĠиÑģполÑĮз ованиÑı", + "ĠиÑģполÑĮзовани Ñı", + "ĠØŃ Ø°", + "Âł ³³³³³³³³", + "³³ ³³³³³³³", + "³³³³ ³³³³³", + "³³³ ³³³³³³", + "³³³³³³³³ Âł", + "³³³³³³³ ³³", + "³³³³³ ³³³³", + "³³³³³³ ³³³", + "ĠاÙĨت ÙĤاÙĦ", + "Ġаб ÑģолÑİÑĤ", + "Ġ Ä±ÅŁÄ±k", + "ĠÄ±ÅŁÄ± k", + "ÏĦο γÏģαÏĨ", + "ĠболÑĮÑĪ ой", + "Ġعب ارت", + "Ġعبار ت", + "ÃŃ Å¾", + "Ġدر ست", + "Ġدرس ت", + "ĠÑģл ово", + "ĠÑģлов о", + "ĠÑģло во", + "à¥Ī Ċ", + "ب ÙĪب", + "بÙĪ ب", + "ĠÐĴ оÑĤ", + "ĠÐĴо ÑĤ", + "ว à¹Ħà¸Ľ", + "Ġbil inen", + "Ġbilin en", + "Ġ ÙĤÙĬ", + "ĠÙĤ ÙĬ", + "Ġbun ların", + "Ġbunlar ın", + "Ġbunları n", + "Ùij ت", + "Ġbas it", + "Ġba sit", + "ë¦ ¿", + "ائ رة", + "ائر Ø©", + "Ġp ů", + "Ġed ilmiÅŁ", + "Ġedilm iÅŁ", + "Ġedil miÅŁ", + "Ġ ä½IJ", + "ĠYön etim", + "ĠYönet im", + "Ùħ ÛĮر", + "ÙħÛĮ ر", + "Ġsp ou", + "Ġspo u", + "æ·± åľ³", + "Ġвза ÑĶм", + "ÎĻ ÎĽ", + "Ð ĥ", + "ĠдеÑĢжав ноÑĹ", + "Ġ mrt", + "Ġm rt", + "Ġmr t", + "ĠDe mir", + "ĠDem ir", + "é» İ", + "ĠÑĢег ÑĥлÑıÑĢ", + "Ġник огда", + "å¼ ¾", + "à¥ī ड", + "Ġг лаз", + "Ġгла з", + "ĠÙħÛĮ Ú©ÙĨ", + "ĠÙħÛĮÚ© ÙĨ", + "éĻIJ å®ļ", + "Ġнав к", + "Ġпод ÑĤ", + "ĠتصÙĪ ÛĮر", + "ĠاÙĦØŃ Ø¯ÙĬØ«", + "Ġdo Å¡lo", + "нÑİ Ñİ", + "ĠÑģ Ñħод", + "ĠÑģÑħ од", + "Ø· ÙĤØ©", + "ĠÑģенÑĤ ÑıбÑĢÑı", + "çī¹ æ®Ĭ", + "à¸ģาร à¹ģà¸Ĥ", + "á zd", + "áz d", + "ÑĶ ÑĤе", + "ĠΣ ε", + "ĠÙĦ ÙĥÙĦ", + "ĠÙĦÙĥ ÙĦ", + "åIJį åŃĹ", + "اÙĨ ÛĮا", + "اÙĨÛĮ ا", + "Ġc ins", + "Ġcin s", + "Ġci ns", + "기 ìĹħ", + "Ġ éŁ³", + "Ġé Ł³", + "ĠéŁ ³", + "éł ĥ", + "ย าย", + "ยา ย", + "ìļ ķ", + "ĠvÃŃ tÄĽz", + "à¥įर ब", + "Ġشر ÙĤÛĮ", + "ĠشرÙĤ ÛĮ", + "ĠbezpeÄį nost", + "Ġçerç ev", + "Ġ 맼", + "Ġë§ Ľ", + "c ky", + "ck y", + "ĵ ¨", + "ĠÑĥм оваÑħ", + "ĠÑĥмов аÑħ", + "л иÑħ", + "ли Ñħ", + "m eniz", + "men iz", + "meni z", + "Ġب Ú¯ÛĮر", + "Ġبگ ÛĮر", + "ÙĨ Ùī", + "Ġ à¸ģารà¹ģà¸Ĥ", + "Ġà¸ģาร à¹ģà¸Ĥ", + "ι Ïĥε", + "ιÏĥ ε", + "âĢ³ E", + "Ġdönem inde", + "리 ì¹´", + "Ġ åĪ°", + "ĠåĪ °", + "Ġhu kuk", + "Ġhuku k", + "а ÑĤоÑĢа", + "аÑĤ оÑĢа", + "аÑĤоÑĢ а", + "аÑĤо ÑĢа", + "ĠاÙĦ عÙĨ", + "ĠاÙĦع ÙĨ", + "ïº ĺ", + "ün üz", + "ünü z", + "Ñģ оÑĤ", + "Ñģо ÑĤ", + "ุ ษ", + "Ġd Æ°Æ¡ng", + "ov ny", + "Ġ ÑĦоÑĢма", + "ĠÑĦоÑĢм а", + "ĠÑĦоÑĢ ма", + "ãģĹ ãģ®", + "ãģĹãģ ®", + "ز ÙĬز", + "زÙĬ ز", + "ĠاÙĦÙĨ اس", + "Ġ Ñĩим", + "ĠÑĩ им", + "ĠÑĩи м", + "大 人", + "Ú¯ ÙĬ", + "ĠÐĵ оÑģп", + "é¢Ĩ 导", + "Ġn inh", + "Ġni nh", + "Ġnin h", + "Ġร าà¸Ħา", + "Ġราà¸Ħ า", + "ÙĤ اء", + "ìī ¬", + "ĠìĿ´ ìłĦ", + "ĠÃ¶ÄŁret men", + "ĠÑĨвеÑĤ а", + "ен ноÑģÑĤÑĮ", + "енно ÑģÑĤÑĮ", + "大 ãģį", + "ĠмиÑģÑĤ еÑĨÑĤ", + "ر ÙĪت", + "رÙĪ ت", + "p oÅĪ", + "po ÅĪ", + "ĠÅŀ irket", + "ĠкÑĢаÑģ ив", + "ĠÑĢеÑģ ÑĥÑĢÑģ", + "ĠÑĢеÑģÑĥÑĢ Ñģ", + "ä¹ ¾", + "Ġ ÙģÙĩ", + "ĠÙģ Ùĩ", + "ĠY Ãĸ", + "èĬ ³", + "μ ÏīÏĤ", + "ÄĽ ji", + "ÄĽj i", + "Ġв лаж", + "Ġвла ж", + "ĠÑĥв ели", + "ا ذا", + "اذ ا", + "ãĢĤ å¦Ĥæŀľ", + "ĠпÑĢи ÑģÑĥÑĤÑģÑĤв", + "ĠẤ n", + "æĢ ĸ", + "ĠÐľ еÑĤ", + "Ġje dna", + "Ġjed na", + "Ġjedn a", + "Ġc ục", + "Ġcụ c", + "ĠاÙĨت شار", + "Ġз окÑĢема", + "и ÑĩеÑģки", + "иÑĩеÑģ ки", + "ĠкÑĢаÑĹ Ð½Ð¸", + "ĠкÑĢаÑĹн и", + "и ÑĢÑĥ", + "иÑĢ Ñĥ", + "ĠÑĸн ÑĤеÑĢ", + "ĠÑĸнÑĤ еÑĢ", + "Ġан алог", + "Ñ Ľ", + "ี à¸ĭ", + "н Ñĥли", + "нÑĥ ли", + "нÑĥл и", + "ĠN inh", + "ĠNi nh", + "ĠNin h", + "еÑĢ аÑĤоÑĢ", + "еÑĢа ÑĤоÑĢ", + "Ġr uce", + "Ġru ce", + "ĠÑĪ кÑĸ", + "ĠÑĪк Ñĸ", + "تر ÙĨت", + "Ġson rası", + "Ġsonra sı", + "Ġ æį", + "Ġæ į", + "ÑĨен ÑĤÑĢа", + "ÑĨенÑĤ ÑĢа", + "Ġà¸Ńำ à¹Ģà¸ł", + "Ø· ÙĬ", + "ï¼Į å½ĵ", + "ĠÑĤ ÑĢеÑħ", + "ĠÑĤÑĢ еÑħ", + "Âł H", + "æ´ ª", + "ãĥ³ ãĥĦ", + "ãĥ³ãĥ Ħ", + "ĠвÑĸдповÑĸд алÑĮ", + "âĢĻ daki", + "âĢĻd aki", + "âĢĻda ki", + "á ÅĻi", + "áÅĻ i", + "ĠpÅĻ em", + "ĠpÅĻe m", + "t uk", + "tu k", + "ĠÙģر ÙħÙĪد", + "ĠÙģرÙħ ÙĪد", + "Ġ ìĿ¸ì¦Ŀ", + "ĠìĿ¸ ì¦Ŀ", + "สำ à¸Ļ", + "ìĥģ ìĿĺ", + "ÅĻ ÃŃm", + "ÅĻÃŃ m", + "æ¾ ¤", + "Ġ ÑĢей", + "ĠÑĢ ей", + "ĠÑĢе й", + "ĠлÑİб ой", + "u jte", + "uj te", + "ë³µ ì§Ģ", + "Ġ درس", + "Ġد رس", + "Ġدر س", + "ĠÐĴ лади", + "ĠÑģво им", + "ĠÑģвои м", + "ĠìĿ¸íĦ° ëĦ·", + "è± Ĭ", + "Ġн алог", + "Ġнал ог", + "ãĤĪ ãģ³", + "ĠØ® اطر", + "Ġ ìŀħëĭĪëĭ¤", + "Ġìŀħ ëĭĪëĭ¤", + "ãĢĤ ãģĹãģĭãģĹ", + "л аг", + "ла г", + "å° ĸ", + "ëĭ ¥", + "ìĬ¤ ëĬĶ", + "ìĭł ì²Ń", + "ãĥĩ ãĥ¼ãĤ¿", + "ĠÑĥÑĢов нÑı", + "Ġ무 ìĬ¨", + "ĠاÙĦØ£ رض", + "à¹ī à¸ķ", + "Ỽ t", + "ĠÙĨÛĮ رÙĪ", + "ĠÙĨÛĮر ÙĪ", + "å¢ ¨", + "ãĤ¶ ãĥ¼", + "r uba", + "ru ba", + "rub a", + "ĠÙĨØ´ دÙĩ", + "и лÑı", + "ил Ñı", + "a cÃŃm", + "ac ÃŃm", + "acÃŃ m", + "ãĥ© ãĤ¯", + "X H", + "Ġس رد", + "Ġسر د", + "Ġद स", + "t ember", + "tem ber", + "ĠDoÄŁ um", + "ĠDoÄŁu m", + "ĠпÑĢ оÑĢ", + "ĠпÑĢо ÑĢ", + "θ οÏĤ", + "θο ÏĤ", + "ĠiÅŁ e", + "à¸Ń à¸Ł", + "л аÑĪ", + "ла ÑĪ", + "اص ÙĦÙĩ", + "اصÙĦ Ùĩ", + "l ivÄĽ", + "li vÄĽ", + "liv ÄĽ", + "ë¶Ģ ë¶Ħ", + "н ак", + "на к", + "åįģ ä¸ī", + "ส าห", + "à¸Ľà¸£à¸°à¹Ģà¸Ĺศ à¹Ħà¸Ĺย", + "ãĤŃ ãĥ³ãĤ°", + "ĠмеÑĤ оÑİ", + "Ġkullan arak", + "âij ¡", + "ÛĮز ات", + "ĠÙħÙĪب اÛĮÙĦ", + "ĠзнаÑĩ иÑĤ", + "Ġзна ÑĩиÑĤ", + "Ġorgan izace", + "Ġorganiz ace", + "ÑĢ ии", + "ÑĢи и", + "ov na", + "Ġ ê²½ìłľ", + "Ġê²½ ìłľ", + "ãĢģ å½¼", + "Ġम स", + "Ġ à¹Ĥà¸Ľà¸£", + "Ġà¹Ĥ à¸Ľà¸£", + "L ARI", + "LA RI", + "LAR I", + "æĩ Ĥ", + "Ġ ва", + "Ġв а", + "ĠÙĥ ÙĨت", + "ĠÙĥÙĨ ت", + "ĠÑĢабоÑĤ а", + "ĠÑĢаб оÑĤа", + "ĠÑĢабо ÑĤа", + "Âł ĠÂłĠÂł", + "ÂłĠ ÂłĠÂł", + "ÂłĠÂł ĠÂł", + "好 äºĨ", + "ĠzamÄĽst n", + "ж енÑĮ", + "же нÑĮ", + "жен ÑĮ", + "Ġu kon", + "Ġuk on", + "nÄĽ né", + "nÄĽn é", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "ĠاÙĦخاص Ø©", + "ĠÄį asu", + "ĠÄįas u", + "å°ı 说", + "ĠØŃر کت", + "æij Ħ", + "Ïĩ Ïī", + "ĠÑģв еж", + "æĸ° éĹ»", + "Ġ ìĭ±", + "Ġìĭ ±", + "Ġe ÄŁer", + "ĠeÄŁ er", + "Ġsitu ace", + "Ġ ç·¨", + "Ġç ·¨", + "Ġç· ¨", + "f ik", + "fi k", + "ë§ Īëĭ¤", + "ë§Ī ëĭ¤", + "Îķ Îļ", + "Ġê°ľ ìµľ", + "Ġc Ãł", + "ا دث", + "اد Ø«", + "Ġsay ıda", + "Ġsayı da", + "ĠØ£ ÙģضÙĦ", + "ĠØ£Ùģ ضÙĦ", + "æ³ķ éĻ¢", + "Ġ .,", + "Ġ. ,", + "ĠTh Æ°Æ¡ng", + "Ïģ ÏĮÏĤ", + "ÏģÏĮ ÏĤ", + "ãģĹ ãĤĪãģĨ", + "Ç İ", + "æ ij¸", + "æij ¸", + "Ġ éĻ³", + "ĠéĻ ³", + "¥ IJ", + "ฤ à¸Ķ", + "Ġgi ảng", + "Ġgiả ng", + "Ġgiản g", + "ĠлÑİ Ð±Ð¾Ð²", + "ĠлÑİб ов", + "Ġek ran", + "о пиÑģ", + "оп иÑģ", + "еж дÑĥ", + "Ġназ ва", + "æĭ ĵ", + "ı f", + "à¹Ī à¸ģ", + "и ÑĩнÑĸ", + "иÑĩ нÑĸ", + "Ġ ê³Ħíļį", + "Ġê³Ħ íļį", + "à¸ł าà¸Ħม", + "à¸łà¸²à¸Ħ ม", + "Ġ اپ", + "Ġا Ù¾", + "리 ìĿĺ", + "ãģ§ãģĻ ãģĮ", + "Ġkon ci", + "Ġکار خاÙĨÙĩ", + "Ġ ä½ķ", + "ĠÑĤ ва", + "ĠÑĤв а", + "ĠÐŁ оÑģÑĤ", + "ĠÐŁÐ¾ ÑģÑĤ", + "ĠÐŁÐ¾Ñģ ÑĤ", + "ĠапÑĢ елÑı", + "ĠاÙĦع راÙĤ", + "ä¸Ń åįİ", + "à¹ĩ à¸Ńà¸ģ", + "à¥įत à¤ķ", + "Ġz ájem", + "Ġzá jem", + "Ġدر جÙĩ", + "Ġब à¥ľ", + "ĠÑģÑĤ ÑĢан", + "ĠÑģÑĤÑĢ ан", + "ĠÑģÑĤÑĢа н", + "èѦ å¯Ł", + "Ġyer leÅŁtir", + "ĠyerleÅŁ tir", + "ĠV Å©", + "ç¾İ åħĥ", + "Ġì¡° ê¸Ī", + "Ġ รà¸Ńà¸ĩ", + "Ġร à¸Ńà¸ĩ", + "Ġak adem", + "Ġaka dem", + "à¸Ħ à¸ĵะ", + "Ġpoz it", + "Ġkon eÄį", + "Ġkone Äį", + "è°ĥ æŁ¥", + "Ġ ãģĭ", + "ĠÄįerv ence", + "ĠOd kazy", + "ĠëıĦ ìĭľ", + "ั สà¸Ķ", + "ัส à¸Ķ", + "Ġg ái", + "ĠÐł об", + "Ġб оÑı", + "Ġбо Ñı", + "æī ©", + "å¼Ģ å±ķ", + "a nik", + "an ik", + "ani k", + "Ġvy ž", + "ĠbaÅŁ lay", + "Ġbak Ä±ÅŁ", + "ek ce", + "ÑģÑĤ ика", + "ÑģÑĤи ка", + "еÑĢа ÑĤÑĥÑĢа", + "еÑĢаÑĤÑĥ ÑĢа", + "Ġë¶Ħ ë¥ĺ", + "ĠPo Äįet", + "od áÅĻ", + "ëĭĺ ìĿĺ", + "Ġk lid", + "Ġkl id", + "Ġkli d", + "Û² Û¹", + "ĠÚĨ ÛĮز", + "m ür", + "Ġs ứ", + "ÙĬا ÙĨØ©", + "ÙĬاÙĨ Ø©", + "åĬ ±", + "Ġ oku", + "Ġo ku", + "Ġok u", + "Ġв оди", + "Ġво ди", + "Ġвод и", + "ĠزÛĮر ا", + "ĠزÛĮ را", + "大 åĪ©", + "ĠÙĦ ÛĮÙĨÚ©", + "ĠÙĬ جب", + "ĠÙĬج ب", + "Ùħ ÛĮÙĦ", + "ÙħÛĮ ÙĦ", + "ĠÏĥ ÏĦÏģα", + "æĻ ĵ", + "ิ สà¸ķ", + "ิส à¸ķ", + "ĠÅŁ iddet", + "ĠÑĢекомен да", + "Ġpožad av", + "Ġп ÑĸÑģ", + "åħ¬ å¼ı", + "Ġ Ú¯ÛĮرÛĮ", + "ĠÚ¯ ÛĮرÛĮ", + "ĠÚ¯ÛĮ رÛĮ", + "ĠÚ¯ÛĮر ÛĮ", + "к ÑĤа", + "кÑĤ а", + "ĠÙħÙĨ اطÙĤ", + "Ġfirm y", + "Ġfir my", + "Ġ à¹Ħà¸Ľ", + "Ġà¹Ħ à¸Ľ", + "Ġ ÎŃÏģγ", + "ĠÎŃ Ïģγ", + "å¿« éĢŁ", + "ãģĮ ãģªãģĦ", + "н еÑģÑĤи", + "не ÑģÑĤи", + "неÑģ ÑĤи", + "Ġ ç²¾", + "Ġç² ¾", + "ÑĢ ади", + "ÑĢа ди", + "ÑĢад и", + "ãĤĴ ãģĭ", + "ïº ª", + "ky nÄĽ", + "Ġह त", + "t ak", + "ta k", + "ĠÙĬÙĪÙĨ ÙĬÙĪ", + "ö ÄŁ", + "Ġ ÑĢÑĥк", + "ĠÑĢ Ñĥк", + "ĠÑĢÑĥ к", + "åľĭ éļĽ", + "Ñİ ÑģÑĮ", + "Ġдав но", + "Ġp opis", + "Ġpop is", + "Ġpo pis", + "ĠB Ä°L", + "ĠÙĨ ÙĤد", + "ĠÙĨÙĤ د", + "ĠÑģп ож", + "ÑĨион нÑĭÑħ", + "ĠÑĪ п", + "Ñĥ ÑİÑīиÑħ", + "ÑĥÑİ ÑīиÑħ", + "ÑĥÑİÑī иÑħ", + "ĠвоздÑĥ Ñħ", + "ÑĤ ие", + "ÑĤи е", + "ĠU ž", + "ÏĮ δ", + "à¸ģร าà¸Ħม", + "Ġalan ında", + "Ġalanı nda", + "Ġs ắt", + "ãĥIJ ãĤ¤", + "Ng Ãły", + "Ġ ë¹Į", + "Ġë¹ Į", + "ï¼ī ãģ¯", + "Ġ ä¿¡", + "Ðķ С", + "ĠT ato", + "ĠTa to", + "ĠTat o", + "Ġún ora", + "e rap", + "er ap", + "era p", + "Ä ł", + "ĠT áºŃp", + "Ġкомп ании", + "ãĥ© ãĤ¤ãĥĪ", + "ãĥ©ãĤ¤ ãĥĪ", + "éľĢ æ±Ĥ", + "Ġت ÙĪÙĤ", + "ĠتÙĪ ÙĤ", + "âĢĻ âĢĻ", + "ëŀį ëĭĪëĭ¤", + "ĠквÑĸÑĤ нÑı", + "Ġoyun cu", + "ÂĢÂĢÂĢÂĢ ÂĢÂĢÂĢÂĢ", + "åĨ Ĭ", + "Ġyap mÄ±ÅŁ", + "ัà¸ĩ à¹Ħม", + "Ġзап аÑħ", + "á la", + "ál a", + "ĠÑĤеÑħ ниÑĩеÑģ", + "Ġ ØŃص", + "ĠØŃ Øµ", + "ร à¸Ķ", + "å¼ Ħ", + "ĠÚ¯ÛĮ اÙĩ", + "اÙĩ رة", + "اÙĩر Ø©", + "Ġà¤ı ड", + "ним аеÑĤ", + "нима еÑĤ", + "ا دÙĨ", + "اد ÙĨ", + "Îľ Îij", + "Ġ 社", + "Ġç¤ ¾", + "аÑĢ Ñĩ", + "ت ز", + "æ¶ ¦", + "in izin", + "ini zin", + "iniz in", + "inizi n", + "Ġbey az", + "Ġ بÙĪÙĦ", + "Ġب ÙĪÙĦ", + "ĠبÙĪ ÙĦ", + "åĿ ¡", + "ãģ® ãĤĪãģĨãģ«", + "Ġyap tıģ", + "Ġyaptı ÄŁ", + "Ġd aģı", + "Ġda ģı", + "ĠdaÄŁ ı", + "ĠbaÅŁ arı", + "ĠbaÅŁar ı", + "Ġ ÏĢά", + "ĠÏĢ ά", + "ĠпÑĢод аж", + "B á»Ļ", + "Ġत त", + "Ġpod stat", + "Ġpods tat", + "Ġ æµģ", + "Ġæµ ģ", + "Ġzdrav ÃŃ", + "Ġ ç¡", + "Ġç ¡", + "Ġ opak", + "Ġo pak", + "Ġop ak", + "Ġhá»į a", + "æĭ Ķ", + "Ñĥ жд", + "Ñĥж д", + "Ġtr ứng", + "ÙĪر ÙĬØ©", + "ÙĪرÙĬ Ø©", + "Ñĭ л", + "um suz", + "ums uz", + "Ġ سبب", + "Ġسب ب", + "许 å¤ļ", + "å®ŀ éªĮ", + "Ġб оли", + "Ġбол и", + "Ġбо ли", + "Ġd uyá»ĩt", + "áºŃ c", + "ĠÐij ез", + "ĠبÙĦ ÙĨد", + "м м", + "ÑĢ ел", + "ÑĢе л", + "N Ä°", + "Ġ ãĥ¯", + "Ġãĥ ¯", + "éĭ ¼", + "ĠÑģв Ñı", + "Ġ åIJİ", + "ĠåIJ İ", + "Ġmu ht", + "Ġmuh t", + "ĠпÑĢоблем и", + "ĠÑĤÑıж ел", + "ĠС ем", + "ฤษ à¸łà¸²à¸Ħม", + "à¹Ī าà¸ķ", + "à¹Īา à¸ķ", + "ör ü", + "üy orum", + "üyor um", + "ĠاÙĦØ£ ØŃ", + "ĠÑģÑĤÑĢ аÑĪ", + "ĠÑģÑĤÑĢа ÑĪ", + "h oo", + "ho o", + "ध र", + "Ġt lak", + "Ġtl ak", + "Ġsrp na", + "ifik ace", + "Ġ reh", + "Ġre h", + "Ġr eh", + "Ġм инÑĥ", + "Ġмин Ñĥ", + "Ġми нÑĥ", + "ãĢĢ j", + "ĠгÑĢÑĥ пи", + "ĠгÑĢÑĥп и", + "Ġ άλ", + "Ġά λ", + "Ġolur sa", + "λογ ία", + "ĠÐĴ ик", + "ĠÐĴи к", + "Ġmüc adel", + "Ġz ávÄĽ", + "Ġzá vÄĽ", + "Ġzáv ÄĽ", + "ĠÑĦев ÑĢа", + "Äį ná", + "à¹Į à¹Ģà¸ĭ", + "ĠÙĦ ÙĦØŃ", + "ĠÙĦÙĦ ØŃ", + "ÑĢ ип", + "ÑĢи п", + "Ġб Ñĥк", + "ĠбÑĥ к", + "ãģĪ ãģªãģĦ", + "Ġpo rad", + "Ġpor ad", + "Ġsa mostat", + "Ġsam ostat", + "Ġsamo stat", + "Ġt esis", + "Ġte sis", + "Ġtes is", + "اب ÙĤÙĩ", + "ابÙĤ Ùĩ", + "Ġجد ÙĬدة", + "ĠجدÙĬد Ø©", + "éĢ Ĵ", + "âĶģ âĶ", + "س ÛĮÙĨ", + "سÛĮ ÙĨ", + "Ġgerek tiÄŁini", + "ียà¸Ļ à¸ļ", + "è¨Ģ ãģ£ãģ¦", + "ĠÑĸн ÑĤеÑĢеÑģ", + "ĠÑĸнÑĤеÑĢ еÑģ", + "ĠÑı ким", + "ĠÑıк им", + "Ġ æĢ»", + "ĠæĢ »", + "k ovou", + "ko vou", + "kov ou", + "Ġd emek", + "Ġde mek", + "Ġdem ek", + "اÙĨ ÙĬا", + "اÙĨÙĬ ا", + "Ġdom ů", + "Å¡ nÃŃ", + "ate ÅĻ", + "åĢ «", + "δο Ïĥη", + "Ġ 기ìĹħ", + "Ġ기 ìĹħ", + "åĶ ĩ", + "ì¹ ł", + "Ñĸ дÑĥ", + "Ñĸд Ñĥ", + "린 ìĿ´", + "æľĢ åĪĿ", + "è ¸ı", + "è¸ ı", + "æĥ³ åĪ°", + "à¥į बर", + "à¥įब र", + "Ġ ìŀĶ", + "Ġìŀ Ķ", + "ĠÑĢаз нÑĭÑħ", + "k rom", + "kr om", + "ι αν", + "ια ν", + "Ġд ÑĢÑĥз", + "ĠдÑĢÑĥ з", + "ĠдÑĢ Ñĥз", + "ä »¿", + "ä» ¿", + "Ġê·¸ ëłĩ", + "Ġд алÑĸ", + "Ġда лÑĸ", + "Ġдал Ñĸ", + "æķĪ æŀľ", + "Ġह व", + "è¼ Ŀ", + "Ġì°¸ ê³ł", + "Ġ ìĨĶ", + "ĠìĨ Ķ", + "Ġz nal", + "Ġzn al", + "ĠпеÑĢ Ñģ", + "ÙIJ Ùij", + "ĠÑĤ еж", + "ĠÑĤе ж", + "åĭ Ł", + "ι θ", + "Äį ů", + "Ġe kip", + "Ġek ip", + "Ġk hung", + "Ġkh ung", + "Ġkhu ng", + "éĹ ĺ", + "ĠتصÙħ ÛĮÙħ", + "о иÑĤ", + "ĠÑħ ол", + "æĬ ŀ", + "a mam", + "am am", + "ama m", + "Ġâĸ ³", + "ãģ ĩ", + "Ġع ÙĨÙĩ", + "ĠعÙĨ Ùĩ", + "Ġì°¸ ê°Ģ", + "ĠÎļ ÏĮ", + "åı¤ å±ĭ", + "к овоÑĹ", + "ков оÑĹ", + "ково ÑĹ", + "ศ à¸Ī", + "олог иÑı", + "ĠÙħØ« بت", + "ĠÐļÑĢа ÑĹна", + "ĠмеÑģÑı ÑĨев", + "Ġalın an", + "ĠÏĢÏģα γμα", + "Ġ ìŀ¡ëĭ´", + "Ġìŀ¡ ëĭ´", + "Ġп лод", + "Ġпл од", + "Ġпло д", + "ĠÑĤка ни", + "ÑģÑĭ лки", + "ÑģÑĭл ки", + "سط س", + "ra nÄĽ", + "ran ÄĽ", + "к аж", + "ка ж", + "е маÑĤи", + "ем аÑĤи", + "ема ÑĤи", + "Ġز ÛĮست", + "ĠزÛĮ ست", + "æ¿ Ł", + "Ġpop lat", + "Ġpo plat", + "γ ÎŃν", + "íĨł íĨł", + "Ġt ây", + "Ġìµľ ê·¼", + "ãĥ© ãĥ³ãĤ¹", + "ãĥ©ãĥ³ ãĤ¹", + "Ġgün eÅŁ", + "Ġ ÙģÙĤ", + "ĠÙģ ÙĤ", + "ĠsaÄŁ layan", + "ĠsaÄŁlay an", + "ĠØŃ Ø²Ø¨", + "à¥ģल न", + "ĠB ilim", + "ĠBi lim", + "ĠBil im", + "ĠB atı", + "ĠBa tı", + "ĠBat ı", + "æł· çļĦ", + "δ ικ", + "δι κ", + "α ÏģίοÏħ", + "αÏģ ίοÏħ", + "Ġ ìĽĢ", + "ĠìĽ Ģ", + "Ġl á»Ńa", + "ÙĨ ÙĪع", + "çİ ²", + "а ном", + "ан ом", + "ано м", + "Ġst átnÃŃ", + "Ġstát nÃŃ", + "Ġ äºİ", + "Ġm ùi", + "ĠÄij á»Ļt", + "ĠÄijá»Ļ t", + "æ² ĥ", + "åħ¬ åľĴ", + "ĠÑģ ÑĮогоднÑĸ", + "но Ñģи", + "ноÑģ и", + "Z a", + "Ġд ли", + "ĠÏĥÏħν ÎŃ", + "ĠV á»ĭ", + "m av", + "ma v", + "ĠM üslüman", + "/ ï¼ı", + "ĠзаÑī иÑĤ", + "é ĸī", + "éĸ ī", + "Ġ çģ«", + "Ġçģ «", + "Ġ å·Ŀ", + "Ġå· Ŀ", + "Ġ аж", + "Ġа ж", + "è¿ĩ æĿ¥", + "à¸Ĺ าà¸Ļ", + "ĠAr aÅŁtır", + "ĠAra ÅŁtır", + "Õ¡ Õ", + "Ġpo mÄĽr", + "Ġpom ÄĽr", + "Ġd ům", + "Ġdů m", + "å¦ ®", + "Ġhlav nÄĽ", + "Ġfin ans", + "Ġfinan s", + "Ġ γνÏī", + "Ġγ νÏī", + "ÏĥÏĦη μα", + "ï¼Į çĶ¨", + "ìĭŃ ìĭľìĺ¤", + "ĠÙħ ثاÙĦ", + "ĠÙħØ« اÙĦ", + "- Ðij", + "ÑĨÑĸй нÑĸ", + "Ġد ستÙĩ", + "Ġدست Ùĩ", + "Ġدس تÙĩ", + "à¥ī स", + "ÑĢ Ñĸп", + "ÑĢÑĸ п", + "ĠpÅĻi pom", + "ĠpÅĻip om", + "Ġ ÙĪÙĦÙĬ", + "ĠÙĪ ÙĦÙĬ", + "ĠÙĪÙĦ ÙĬ", + "ĠÙĪ زÙĨ", + "ĠÙĪز ÙĨ", + "Ġelekt rik", + "Ġelektr ik", + "ĠQu ân", + "i vé", + "iv é", + "Ġl ẽ", + "ç®Ģ åįķ", + "Ġon lara", + "Ġonlar a", + "оÑģ лав", + "ìĭľ íĤ¤", + "ëª ¬", + "ĠÙħÙĤ دار", + "ĠÙħÙĤد ار", + "ĠOr ta", + "ĠOrt a", + "ĠS eç", + "ĠSe ç", + "ĠÙĨÙĪÙģ Ùħبر", + "ุà¸Ļ ายà¸Ļ", + "ĠÑĥм ови", + "ĠÑĥмов и", + "Ġपर म", + "Ġ strom", + "Ġst rom", + "Ġstr om", + "Ġstro m", + "ĠкÑĢа Ñīе", + "ç§ ¦", + "缸 æīĭ", + "鼻 è¦ĸ", + "Ġuygu lama", + "Ġuygulam a", + "Ġ ÑĢиз", + "ĠÑĢ из", + "æĪ ²", + "य र", + "ĠH lav", + "Ġ ìĭ¸", + "Ġìĭ ¸", + "Ġли пнÑı", + "ÅĪ ujÃŃ", + "ÑĢ из", + "ÑĢи з", + "é«ĺ éĢŁ", + "缸 å½ĵ", + "k enin", + "ke nin", + "ken in", + "Ġо ÑģÑĤанов", + "ĠоÑģÑĤ анов", + "ĠоÑģÑĤан ов", + "Ġbit k", + "Ġbi tk", + "ova ného", + "ovan ého", + "ované ho", + "ĠÐľ аÑĢи", + "ĠÐľÐ°ÑĢ и", + "ĠÐľÐ° ÑĢи", + "èµ ¶", + "ì½ ©", + "Ġölç ü", + "ĠС еÑĢед", + "ĠСеÑĢ ед", + "ĠTh á»Ŀi", + "Ïī να", + "Ïīν α", + "ÙĪ بة", + "ÙĪب Ø©", + "Ġch ụp", + "âĢĮ د", + "Ġch áy", + "ĠÐĴ ели", + "Ġоб ÑģÑĤ", + "ĠобÑģ ÑĤ", + "Ġìĭľ ì¦Į", + "د ÙħØ©", + "دÙħ Ø©", + "п од", + "по д", + "l ue", + "lu e", + "ĠдÑĸ лÑıн", + "ĠÙ¾ ÙĪست", + "ĠاÙĦ ÙĨس", + "ĠاÙĦÙĨ س", + "èĤ Į", + "ìĪĺ 를", + "Ġú rov", + "ĠÙħØ´ Ú©ÙĦ", + "ĠÙħØ´Ú© ÙĦ", + "éĩįè¤ĩ éĩįè¤ĩ", + "н ез", + "не з", + "Ġdop oruÄį", + "Ġtas arım", + "Ġtasar ım", + "íģ¬ 기", + "ìĿ´ ìħĺ", + "Ġde set", + "Ġdes et", + "Ġdese t", + "ĠÙħرتب Ø·", + "ัà¸Ĵ à¸Ļา", + "ัà¸Ĵà¸Ļ า", + "' ı", + "Ñĩ ки", + "ĠìŀĪ ëįĺ", + "ÑĪ ка", + "n ám", + "ná m", + "ÑģÑĤ ÑĢов", + "ÑģÑĤÑĢ ов", + "ÑģÑĤÑĢо в", + "à¥į सर", + "à¥įस र", + "нÑĥ лаÑģÑĮ", + "нÑĥла ÑģÑĮ", + "ãģ¡ãĤĩ ãģ£ãģ¨", + "Ġ å¦", + "Ġå ¦", + "γ ÏĮ", + "Ġ é»ij", + "Ġé» ij", + "X em", + "Ġt á»ĩ", + "Ġtá» ĩ", + "ĠëĮĢ íĨµëł¹", + "기 ê´Ģ", + "æīį èĥ½", + "è¯Ń è¨Ģ", + "ed eyse", + "ĠТ Ñĭ", + "ĠÑģо един", + "ĠìĹĨ ìĬµëĭĪëĭ¤", + "Ñı ÑİÑĤ", + "à¹ģ หล", + "à¹ģห ล", + "Ġì§Ģ ë°©", + "Ġosob nÃŃ", + "ÛĮ ÙĦÛĮ", + "ÛĮÙĦ ÛĮ", + "Ġавг ÑĥÑģÑĤа", + "Ñī ик", + "Ñīи к", + "Ġvý Å¡e", + "g th", + "gt h", + "ĠÏĢ αν", + "ĠÏĢα ν", + "ج ار", + "جا ر", + "Ġвид ов", + "Ġви дов", + "ìĿ´ ìĬĪ", + "ĠÐij аÑĢ", + "ĠÏĮ ÏĢοÏħ", + "æ¤ ħ", + "Ġع اÙĦÛĮ", + "ĠQ uyết", + "ĠQuy ết", + "Ãľ M", + "ãĥĿ ãĤ¤ãĥ³ãĥĪ", + "Ġ ê¹Į", + "Ġê¹ Į", + "Ġкан ди", + "k ového", + "kov ého", + "kové ho", + "ĠMerk ez", + "Ġy iy", + "Ġyi y", + "ĠpÅĻÃŃ spÄĽ", + "ĠÑĤемпеÑĢаÑĤÑĥ ÑĢÑĭ", + "ĠÙ¾ ÙĬ", + "ฤ ศà¸Ī", + "è°ĥ çĶ¨", + "ĠÑģÑĤоÑĢ онÑĥ", + "ĠÑģÑĤоÑĢон Ñĥ", + "à¹ī à¸Ĭ", + "好 ãģį", + ". Åŀ", + "Ġп ÑĢоз", + "ĠпÑĢ оз", + "ĠпÑĢо з", + "ÙĨت اج", + "鼻 åŃIJ", + ".: .:.", + ".:.: .", + ".:. :.", + "è¨ ĵ", + "и ÑĩеÑģкое", + "иÑĩеÑģ кое", + "Ġн оги", + "Ġно ги", + "Ġног и", + "Ġ λÎŃ", + "Ġλ ÎŃ", + "Ġsık ıntı", + "Ġê°Ģ 족", + "ĠتÙĨ ظÙĬÙģ", + "ĠتÙĨظ ÙĬÙģ", + "Ġö dül", + "ĠaÅŁaģı daki", + "Ġž elez", + "Ġže lez", + "ĠاÙĦع دÙĬد", + "غ ÙĨ", + "Ġокон Ñĩ", + "ÑĢем Ñı", + "ÑĢе мÑı", + "L Ä°", + "Ġne jd", + "Ġnej d", + "Ġ ÏĢλα", + "ĠÏĢ λα", + "Ñģ ко", + "Ñģк о", + "Ġ ìĪĻ", + "ĠìĪ Ļ", + "ĠÙ¾ ÙĪÙĦ", + "θεν ήÏĤ", + "Ġ주 ìļĶ", + "Ġ æĬ¥", + "ĠæĬ ¥", + "ĠÙħ Ùħا", + "ĠÙħÙħ ا", + "Ðł Ð¡Ðł", + "ĠÑĢа дÑĸ", + "ĠÑĢад Ñĸ", + "ä¸Ģ ç§į", + "é¾ Ħ", + "Ġsö yl", + "Ġsöy l", + "Ïģκε ια", + "Ïģκ εια", + "Ġзем лÑĸ", + "Ġve Äįer", + "g eç", + "ge ç", + "س تÙħ", + "ست Ùħ", + "Ġse fer", + "ĠÑģ вÑĸд", + "ĠÑģв Ñĸд", + "ï»Ł ï»", + "а лов", + "ал ов", + "ало в", + "ìĬ¤ 를", + "âī ¥", + "ĠتÙĦ ÙģÙĨ", + "ĠتÙĦÙģ ÙĨ", + "åİ» äºĨ", + "़ à¥ĭà¤Ĥ", + "़à¥ĭ à¤Ĥ", + "ĠÑĦоÑĢм е", + "ĠÑĦоÑĢ ме", + "d üm", + "dü m", + "åħ ģ", + "ÑĢ ап", + "ÑĢаР¿", + "ÑĢа п", + "ĠV Æ°Æ¡ng", + "à¸Ńะ à¹Ħร", + "ัà¸ģษ à¸ĵ", + "Ġ åį³", + "Ġåį ³", + "ĠاÙĦ رÙħ", + "ĠاÙĦر Ùħ", + "ĠзаÑħиÑģÑĤ Ñĥ", + "° E", + "o dÃŃ", + "od ÃŃ", + "Ġव न", + "ĠÄij èn", + "Ġ åıĹ", + "Ġåı Ĺ", + "èIJ½ ãģ¡", + "Ġ zim", + "Ġz im", + "Ġzi m", + "리 ì¦Ī", + "èĪ Ĵ", + "Ġзб ÑĸÑĢ", + "Ġ ä»·æł¼", + "ĠлÑİ Ð´Ð¸Ð½Ð°", + "ĠлÑİд ина", + "ĠлÑİди на", + "ĠÐŁÐ¾Ñģ иланнÑı", + "и Ñī", + "ĠÎ ¨", + "ิà¸ģ ายà¸Ļ", + "ิà¸ģา ยà¸Ļ", + "Ġbu dete", + "Ġbud ete", + "Ġbude te", + "Ġз ÑĢоÑģÑĤ", + "Ġ vyk", + "Ġv yk", + "Ġvy k", + "ĠÐĹ ÐµÐ¼", + "ĠиÑİ Ð½Ñı", + "ĠmÄĽ lo", + "ĠmÄĽl o", + "ÙĦ اÙģ", + "ÙĦا Ùģ", + "Ġ ÙĪØ´", + "ĠÙĪ Ø´", + "ĠÑģп ÑĢави", + "ĠÑģпÑĢав и", + "ãģĻ ãģİ", + "ĠгÑĢа дÑĥ", + "ĠгÑĢ адÑĥ", + "R oz", + "Ro z", + "ι νή", + "ιν ή", + "Ġch á»ĵng", + "ä¸Ģ åį·", + "Ġ Xem", + "ĠX em", + "ĠÑģимв ол", + "ĠÑģим вол", + "Ġod mÃŃt", + "ĠÑĢÑıд ом", + "ĠÑĢÑı дом", + "ĠÑĩеÑĢв нÑı", + "à¸ģระ à¸Ĺ", + "人 人", + "æ°Ĺ æĮģãģ¡", + "un daki", + "und aki", + "unda ki", + "åľĭ 家", + "εÏģ μαν", + "Ġ лÑĮ", + "Ġл ÑĮ", + "ĠN üfus", + "Ġм еÑĢе", + "ĠмеÑĢ е", + "بر اÙĬر", + "н аннÑı", + "Ġ наÑĢ", + "Ġн аÑĢ", + "Ġна ÑĢ", + "Ġt ấm", + "æĸ½ å·¥", + "é¡ ¯", + "Ġh è", + "æĺİ çĻ½", + "Ġдо гов", + "Ġдог ов", + "ĠÙģ رÙħ", + "ĠÙģر Ùħ", + "èĢ Ĺ", + "ìĬ¤ ìĿĺ", + "ìĦ¸ ëĮĢ", + "è¯ ļ", + "Ġнеб олÑĮ", + "Ġ à¸Ľà¸£à¸°à¸ģ", + "Ġà¸Ľà¸£à¸° à¸ģ", + "Ġì¹ ¼", + "Ġov liv", + "Ġ NGC", + "ĠN GC", + "ĠNG C", + "ãĢĤ ä¸į", + "ا ÙĦÙī", + "اÙĦ Ùī", + "æī £", + ". ÐIJ", + "ÑĢа ÑģÑĤа", + "ÑĢаÑģ ÑĤа", + "ÑĢаÑģÑĤ а", + "ĠÃĩ ev", + "ãģ£ ãģ¡", + "ãģ£ãģ ¡", + "ï¼Į éĥ½", + "Ġrov nÄĽÅ¾", + "ĠÏĩÏģÏĮ νια", + "Ġì¡° ìĦł", + "ĠØ¢ باد", + "Ġآب اد", + "ĠÐľ аÑģ", + "ĠÐľÐ° Ñģ", + "çĻ¼ å±ķ", + "ä» Ķ", + "Ġkend isini", + "Ġkendisi ni", + "à¹Īà¸Ńà¸ĩ à¹Ģà¸Ĺ", + "ĠV ÄĽ", + "Ġr ượu", + "Ġm áme", + "Ġmá me", + "Ġmám e", + "ĠоÑĩеÑĢед ÑĮ", + "Ġسب تÙħبر", + "Ġб ок", + "Ġбо к", + "ì§Ģ ìĹŃ", + "Ġتا Ø«ÛĮر", + "Ġتاث ÛĮر", + "Ġl isans", + "Ġli sans", + "Ġlis ans", + "Ġger ektir", + "Ġgerek tir", + "Ġs izi", + "Ġsi zi", + "Ġsiz i", + "Ñĸ но", + "Ñĸн о", + "ĠM Ã¼ÅŁ", + "ĠMü ÅŁ", + "ãģı ãĤīãģĦ", + "ãģıãĤī ãģĦ", + "Ġза клÑİÑĩ", + "Ġзак лÑİÑĩ", + "ãģĵãģ¨ ãģ«", + "è¨Ģ ãģĦ", + "ãĢģ å°ı", + "Ġet mektedir", + "Ġetm ektedir", + "åł± åijĬ", + "Ġkar Ä±ÅŁ", + "Ġоб лад", + "Ġобла д", + "Ġобл ад", + "å¥ ij", + "ra cat", + "rac at", + "ĠارتÙģ اع", + "μ αι", + "μα ι", + "íĶ Ī", + "ĠÙĪ ÙĦÙħ", + "ĠÙĪÙĦ Ùħ", + "ëĬĶ ì§Ģ", + "lom ou", + "Ġли ÑĨа", + "ĠлиÑĨ а", + "ĠìĿĮ ìķħ", + "Ġhod nÄĽ", + "èĭ± æĸĩ", + " Ħ", + "à¹ī าà¸Ĥà¸Ńà¸ĩ", + "à¹īา à¸Ĥà¸Ńà¸ĩ", + "Ġê³Ħ ìķ½", + "åIJĦ ç§į", + "ĠÙħر Ú¯", + "éĶ ģ", + "Ġन द", + "ãĥĭ ãĥ¡", + "Ġ ем", + "Ġе м", + "Ġe leÅŁtir", + "Ġel eÅŁtir", + "Ġele ÅŁtir", + "Ġ íĬ¹ë³Ħ", + "ĠíĬ¹ ë³Ħ", + "ĠÎ¥ ÏĢο", + "Å¡ ker", + "Å¡k er", + "L ERÄ°", + "LER Ä°", + "æ² Ī", + "l ikleri", + "lik leri", + "likle ri", + "likler i", + "ĠÙħÙĩÙĨد سÛĮ", + "ĠbaÄŁ ır", + "dı ģını", + "dıģ ını", + "ĠاÙĦ تد", + "ĠاÙĦت د", + "à¸¸à¸Ľ à¸ģรà¸ĵ", + "ĠÑģлед ÑĥÑİÑīие", + "ĠÑģледÑĥÑİÑī ие", + "Ġì§ģ ìłij", + "å° ¤", + "ĠоÑģнов Ñĸ", + "Ġt ÄĽla", + "ĠtÄĽ la", + "ĠtÄĽl a", + "Ġп ак", + "Ġпа к", + "iz ace", + "iza ce", + "Ġná rod", + "Ġnáro d", + "a ný", + "an ý", + "ĠÑį п", + "Ġüç üncü", + "Î¥ Ρ", + "éĨ´ éĨ´", + "à¹Ģà¸ģ à¸Ńร", + "âĢĮاÙĨ بار", + "ç¶ Ļ", + "Îij Îł", + "ı lıģı", + "ılı ģı", + "ıl ıģı", + "ılıģ ı", + "ĠÃľ rün", + "Ġдоз вол", + "Ġ íĥĪ", + "Ġíĥ Ī", + "Ġà¤ĵ वर", + "è« ¸", + "èĺ ĩ", + "ĠпÑĢоÑģÑĤ ÑĢан", + "éĿĴ å¹´", + "ãģ® æĸ¹", + "ĠÚĨ Ú¯ÙĪÙĨÙĩ", + "ÙĦ Ø·", + "âĢľ æĪij", + "Ġëĭ¤ìļ´ ë°Ľ", + "ा .Ċ", + "ा. Ċ", + "Ġmüc adele", + "Ġmücadel e", + "Ġc ÃŃt", + "ĠcÃŃ t", + "à¹Īวม à¸ģ", + "ÄŁ ına", + "ģı na", + "ģın a", + "ê°ľ ë°ľ", + "ĠÏĢ αιδ", + "ĠÏĢα ιδ", + "ĠÏĢαι δ", + "ض اÛĮ", + "ضا ÛĮ", + "Ġbor ç", + "íĬ ľ", + "ĠخدÙħ ت", + "Ġخد Ùħت", + "Ġu dál", + "Ġud ál", + "Ġ виг", + "Ġв иг", + "Ġви г", + "Ġ ë°°ìĨ¡", + "Ġë°° ìĨ¡", + "å¹ ¾", + "Ùİ Ø¬", + "Ġ ìĹĺ", + "ĠìĹ ĺ", + "çĢ ¬", + "ï Ģ", + "ĠÎij θή", + "пÑĢи клад", + "ĠпÑĢи Ñĩина", + "ĠпÑĢиÑĩин а", + "ĠпÑĢиÑĩ ина", + "ĠÙģ شار", + "æ »¿", + "æ» ¿", + "Ġd ostat", + "Ġdo stat", + "Ġdos tat", + "Ġdost at", + "Ġ졸 ìĹħ", + "Ġا رز", + "Ġار ز", + "ÙĪÙĦ ÙĪج", + "ÙĪÙĦÙĪ ج", + "س ÙĪ", + "æĺł çĶ»", + "Ġth ôi", + "Ġ ³³³", + "ĠÂł ³³", + "Ġ³³ Âł", + "à¹ģ à¸Ļะ", + "à¹ģà¸Ļ ะ", + "è¨Ń åĤĻ", + "Ġмног ие", + "ÑĤ оÑĦ", + "ÑĤо ÑĦ", + "i Å¡tÄĽ", + "iÅ¡ tÄĽ", + "à¤Ĺ ढ", + "Ġин дивидÑĥ", + "Ġ ìĥĿíĻľ", + "ĠìĥĿ íĻľ", + "Ġзов ÑģÑĸм", + "íĥ ķ", + "çľ ł", + "ĠêµŃ ëĤ´", + "e ptal", + "ep tal", + "ept al", + "r aci", + "ra ci", + "rac i", + "è¡ ¡", + "ãĦ ·", + "ĠSt ÅĻed", + "اÙĦ ÙĬا", + "اÙĦÙĬ ا", + "Σ Τ", + "Ľ °", + "ãĥī ãĥ«", + "á zÃŃ", + "áz ÃŃ", + "Ġа Ñģп", + "ĠаÑģ п", + "ĠdÄ±ÅŁ arı", + "ĠвиÑĢоб ниÑĨÑĤва", + "e za", + "ez a", + "ï¼Į ä¸įè¿ĩ", + "ï¼Įä¸į è¿ĩ", + "çĥ ¦", + "ãĥ³ ãĤ°ãĥ«", + "ãĥ³ãĤ° ãĥ«", + "Ġroz voj", + "ĠÙħÙĨت شر", + "ĠÑĥÑĤ еп", + "Ġد ÙĬÙĨ", + "ĠدÙĬ ÙĨ", + "ĠзаÑģоб Ñĸв", + "Ng Æ°á»Ŀi", + "ãĤ· ãĥ¼", + "ĠFran sız", + "ÎĻ Τ", + "ائ Ùģ", + "ι Ïĩ", + "ี à¹Ģม", + "à¥į मन", + "à¥įम न", + "à¥įम à¤ļ", + "Ġس عر", + "Ġسع ر", + "ï¾ Ŀ", + "ë°© ë²ķ", + "ĠС о", + "Ġà¤ĸ बर", + "ìĨĮ ê°ľ", + "Ġsl ova", + "Ġslo va", + "Ġslov a", + "Q PCP", + "QP CP", + "ĠK ız", + "ĠKı z", + "Ø· ÙģاÙĦ", + "Ø·Ùģ اÙĦ", + "Ġк оÑĢм", + "ĠкоÑĢ м", + "ĠìĹħ ëį°ìĿ´íĬ¸", + "es poÅĪ", + "esp oÅĪ", + "à¸Ķ าว", + "à¸Ķา ว", + "о ÑĢом", + "оÑĢ ом", + "оÑĢо м", + "ĠгÑĢа ÑĦ", + "ĠгÑĢ аÑĦ", + "Ġп ÑĸÑĪ", + "Ġ ë¿IJ", + "Ġë ¿IJ", + "ý v", + "С ам", + "Ġk rev", + "Ġkr ev", + "Ġkre v", + "ĠB unu", + "ĠBu nu", + "ĠBun u", + "Ġz obraz", + "Ġسخ ÙĨ", + "Ġ æĶ¯", + "ĠæĶ ¯", + "лÑİ Ð±", + "Ùİ Ø§ÙĨ", + "Ùİا ÙĨ", + "маÑĤ ÑĢива", + "λ εÏį", + "λε Ïį", + "Ġпо Ñħод", + "ĠпоÑħ од", + "Ġг ÑĢе", + "ĠгÑĢ е", + "çľĭ çĿĢ", + "à¸Īำ à¸ģ", + "ัà¸ĩà¸Ħ ม", + "Ġseç enek", + "Ä° stanbul", + "ĠвÑĸд мов", + "m iyor", + "mi yor", + "Ġm ụn", + "ìĿ´ ìĹIJ", + "ĠNh Æ°", + "Âł tom", + "Âłt om", + "lık ları", + "lıkla rı", + "lıklar ı", + "Âł Äij", + "ãĥ» ãĥŀ", + "Ġ Ùģت", + "ĠÙģ ت", + "ĠFakült esi", + "ìłĦ íŀĪ", + "éª ij", + "Ġìŀij ìĿĢ", + "ç¼ ĺ", + "ìº IJ", + "Ġmü zik", + "Ġmüz ik", + "а лÑĭ", + "ал Ñĭ", + "Ġp ozem", + "Ġpo zem", + "Ġpoz em", + "çĥ §", + "Ġ 常", + "Ġå¸ ¸", + "Å¡ il", + "Å¡i l", + "à¤Ĩ प", + "à¸ģำ หà¸Ļà¸Ķ", + "Ġگرد Ø´", + "λ ιά", + "λι ά", + "Ġö den", + "åıª è¦ģ", + "ĠÄIJ o", + "Ġstrat ej", + "Ġstra tej", + "Ġstrate j", + "ĠÙĩ تÙĦ", + "ÙĤ Ùģ", + "Ġkullan ılır", + "Ġkullanıl ır", + "ĠÑģп оÑģÑĤ", + "ĠÑģпоÑģ ÑĤ", + "ĠnÄĽ ho", + "ĠÐŁ еÑĢед", + "ĠÐŁÐµÑĢ ед", + "Ġиз меÑĢ", + "] ]>", + "]] >", + "ĠнÑĸк оли", + "Ġha yal", + "Ġhay al", + "Ġhaya l", + "Ġдод аÑĤков", + "Ġन à¤ķ", + "Ġins anın", + "Ġinsan ın", + "ุม à¸łà¸²à¸ŀ", + "ograf ie", + "в об", + "во б", + "ĠاÙĨ ساÙĨÛĮ", + "ĠاÙĨساÙĨ ÛĮ", + "Ġm ük", + "Ġmü k", + "ĠÑĥ меÑĢ", + "ĠÑĥм еÑĢ", + "оÑĩ нÑĭе", + "ëıĦ ìĿĺ", + "Ġ ara", + "Ġa ra", + "Ġar a", + "Ġë¹ ¨", + "Ġκ Ïį", + "л ой", + "ло й", + "Ñģи он", + "Ġroz dÃŃl", + "ay ıf", + "ayı f", + "ĠÙĪاØŃ Ø¯Ø©", + "ĠÙĪاØŃد Ø©", + "ĠÙĪا ØŃدة", + "о ÑĢалÑĮ", + "оÑĢ алÑĮ", + "оÑĢа лÑĮ", + "Ġpo chop", + "Ġpoc hop", + "éļ ¨", + "à¹īà¸Ń à¸ĩà¸Ļ", + "à¹īà¸Ńà¸ĩ à¸Ļ", + "Ġ ÙĪاÙĨ", + "ĠÙĪ اÙĨ", + "ĠÙĪا ÙĨ", + "Îľ ε", + "Ġ μον", + "Ġμ ον", + "Ġμο ν", + "Ñĥ ÑĪка", + "ÑĥÑĪ ка", + "or dum", + "ord um", + "æ¸ħ æ¥ļ", + "ĠDe ÄŁ", + "ÏĢ Ïģο", + "ĠÙĪاÙĦ تÙĬ", + "ĠÙĪاÙĦت ÙĬ", + "Ġp okus", + "Ġpo kus", + "Ġpok us", + "íĽĦ 기", + "é¥ ®", + "æĹħ è¡Į", + "Ġжен Ñīин", + "ĠdoÄŁru dan", + "Ġ Ñıб", + "ĠÑı б", + "Ġza ÄįÃŃ", + "ĠzaÄį ÃŃ", + "Ġë³´ ìŬ", + "- CP", + "-C P", + "åIJ ¨", + "à¥ĭ à¤ĸ", + "ÑĢ огÑĢа", + "ÑĢо гÑĢа", + "ÑĢог ÑĢа", + "ler di", + "ìĬ ´", + "Ùı ÙĪا", + "ÙıÙĪ ا", + "Ġustanov enÃŃ", + "Ġд оÑģÑĤав", + "Ġдо ÑģÑĤав", + "ĠдоÑģÑĤ ав", + "Ġfır sat", + "ĠاÙĦÙħÙĩ ÙĨØ©", + "ĠвеÑī еÑģÑĤва", + "ĠвеÑīеÑģÑĤв а", + "Ġн еÑģп", + "Ġне Ñģп", + "ĠнеÑģ п", + "ĠاÙĦکتر ÙĪÙĨ", + "t aÅŁ", + "ta ÅŁ", + "æĪ Ĵ", + "Ġy urt", + "Ġyu rt", + "Ġgir di", + "ĠÐļ Ñĥб", + "Ġ 를", + "Ġë¥ ¼", + "ุ à¹Į", + "ãģĿãģĨ ãģª", + "à¹ī Ċ", + "ĠвÑĭ бÑĢа", + "ĠвÑĭб ÑĢа", + "k ovÄĽ", + "ko vÄĽ", + "kov ÄĽ", + "ĠS iz", + "ĠSi z", + "Ġ گاÙĩ", + "ĠÚ¯ اÙĩ", + "ĠЧ аÑģ", + "Ġзг Ñĸдно", + ". ÐŁ", + "å§ Ĭ", + "ĠÐļ ÑĥÑĢ", + "ĠìĿĺ íķ´", + "Ġet raf", + "Ġк аÑĪ", + "Ġка ÑĪ", + "ĠØ· ÛĮ", + "ξ ει", + "ξε ι", + "ç² Ĵ", + "ĠØ¢ Ø°", + "Ġböl ge", + "Ġbölg e", + "Ġम à¤ľà¤¬", + "Ġà¤®à¤ľ ब", + "ÙIJ Ùĥ", + "Ġvál ky", + "ãģł ãĤĪ", + "Ġmes aj", + "Ġmesa j", + "ĠpÅĻ ist", + "ĠpÅĻi st", + "Ġtyp u", + "Ġty pu", + "ĠкиÑĪ еÑĩ", + "ãĤī ãģ®", + "Ġkend isi", + "Ġkendi si", + "ĠвÑĸдб Ñĥва", + "ĠвÑĸдбÑĥ ва", + "ä¾ ¯", + "Ġди за", + "ãĢĢ Ċ", + "ĠпÑĢоÑĨеÑģ Ñĥ", + "ĠÑįлек ÑĤÑĢ", + "_P US", + "Ġмног иÑħ", + "Ġk ém", + "Ġké m", + "æŀ ª", + "çİ° 代", + "Ġ éħį", + "Ġé ħį", + "Ġéħ į", + "ë¡ Ń", + "ÑĤи ÑģÑı", + "Ġl ục", + "ĠÙĪ اÙĦØŃ", + "ĠÙĪاÙĦ ØŃ", + "ĠÙĪا ÙĦØŃ", + "p tal", + "pt al", + "pta l", + "ẵ ng", + "ẵn g", + "ÏĢ λ", + "Ġd olu", + "Ġdo lu", + "Ġdol u", + "Ġt òa", + "Ġин огда", + "ĠпоÑĢÑıд ок", + "Як Ñīо", + "âĶ ĺ", + "Ġغ ربÛĮ", + "Ġغرب ÛĮ", + "Ġغر بÛĮ", + "移 åĬ¨", + "ยà¸Ļ à¸ķร", + "ยà¸Ļà¸ķ ร", + "H DATA", + "HD ATA", + "_PUSH DATA", + "_PUS HDATA", + "ĠØ« ابت", + "åĮħ åIJ«", + "ĠÏĢ ÏģÎŃÏĢει", + "़ à¥ĭ", + "åIJį åīį", + "ÑĤ еÑĢи", + "ÑĤе ÑĢи", + "ÑĤеÑĢ и", + "ï½ ¯", + "Ġ åħĪ", + "Ġåħ Ī", + "н ед", + "не д", + "Ïģ οÏįν", + "Ïģο Ïįν", + "ÏģοÏį ν", + "в ей", + "ве й", + "èĤ ĸ", + "ĠÅĻed itel", + "Ġth ép", + "Ġthé p", + "ĠÙĩ ÙģتÙĩ", + "ĠÙĩÙģت Ùĩ", + "ĠдÑĢÑĥг а", + "ĠдÑĢÑĥ га", + "ER Ä°", + "Ġ Ả", + "ĠẠ¢", + "ĠпеÑĢ еÑĢ", + "ĠпеÑĢе ÑĢ", + "Ġж еÑģÑĤ", + "Ġже ÑģÑĤ", + "ĠÄij ẳng", + "ç¦ ®", + "алÑĮ ном", + "алÑĮно м", + "िष य", + "ид енÑĤа", + "иденÑĤ а", + "Ġآخر ÛĮÙĨ", + "Ġ æĵ", + "Ġæ ĵ", + "Ġ มหาว", + "Ġมห าว", + "ĠлÑİ ÑĤого", + "ĠлÑİÑĤ ого", + "Ġб ÑĸзнеÑģ", + "gı ç", + "Ġng á»ĵi", + "оÑĩ нÑĭй", + "Ġo Äįek", + "ĠoÄį ek", + "ĠÙħ رة", + "ĠÙħر Ø©", + "Ġt var", + "Ġtv ar", + "Ġsam ozÅĻejmÄĽ", + "ĠBeled iye", + "Ġв ода", + "Ġво да", + "Ġвод а", + "Ġ Ú¯ÛĮرد", + "ĠÚ¯ÛĮ رد", + "ĠÚ¯ÛĮر د", + "Ġг одÑĭ", + "Ġгод Ñĭ", + "ãģ« è¡Į", + "æĺ¯ æĪij", + "ÑĪ или", + "ÑĪи ли", + "Ġ åĽ½äº§", + "ĠåĽ½ 产", + "ủ i", + "ĠбÑĥд ÑĥÑĤÑĮ", + "ĠбÑĥдÑĥÑĤ ÑĮ", + "ĠбÑĥдÑĥ ÑĤÑĮ", + "ĠÑĢай онÑĥ", + "ĠÑĢайон Ñĥ", + "Ġì ĵ", + "ĠÙĪ اس", + "ĠÙĪا س", + "ĠاÛĮ شاÙĨ", + "ενο δο", + "Ġнез алеж", + "ĠÙ¾ شت", + "Ġپش ت", + "Ġgir iÅŁim", + "ĠgiriÅŁ im", + "Ġд еле", + "Ġдел е", + "Ġде ле", + "ĠاصÙģÙĩ اÙĨ", + "à¸Ķ วà¸ģ", + "ĠاÙĦ ÙĤÙĬ", + "ĠاÙĦÙĤ ÙĬ", + "à¹Į à¸Ī", + "ëª »", + "Ġd ru", + "Ġdr u", + "è¿ ¹", + "ад женнÑı", + "адж еннÑı", + "Ùģ ÙĨ", + "Ïĩ οÏĤ", + "Ïĩο ÏĤ", + "à¹Ĥ à¸Ī", + "e yle", + "ey le", + "å¡ ij", + "Ġu prav", + "Ġup rav", + "Ġз даÑĤ", + "Ġзд аÑĤ", + "Ġзда ÑĤ", + "Ġvid ÄĽt", + "Ġ à¸Ľà¸£", + "Ġà¸Ľ ร", + "Ġ ÑĦеÑĢ", + "ĠÑĦ еÑĢ", + "ÐĨ н", + "Ġ ìµľìĭł", + "Ġìµľ ìĭł", + "l oha", + "lo ha", + "loh a", + "ĠиÑģп ÑĭÑĤ", + "Ġ avan", + "Ġa van", + "Ġav an", + "Ġava n", + "γ οÏħ", + "γο Ïħ", + "ĠGi ấy", + "ãĤ»ãĥ³ ãĤ¿ãĥ¼", + "éģ į", + "е ÑĢаÑħ", + "еÑĢ аÑħ", + "еÑĢа Ñħ", + "Ġê°Ģ ì§Ģê³ł", + "Ġê°Ģì§Ģ ê³ł", + "Ġ ид", + "Ġи д", + "Ġmnoh em", + "æ£Ģ æµĭ", + "Ġet me", + "Ġetm e", + "Ġ تÙħر", + "Ġت Ùħر", + "ĠتÙħ ر", + "ĠbaÅŁ layan", + "ĠbaÅŁlay an", + "ãģı ãĤĮ", + "à¹ĩà¸Ļ à¸ģาร", + "ĠÑħаÑĢакÑĤеÑĢ из", + "Ġanlam ına", + "Ùı Ùĩ", + "ĠÑģеÑĢ пнÑı", + "çķª çµĦ", + "Ġ msgid", + "Ġmsg id", + "Ġms gid", + "Ġzv ÃŃÅĻ", + "ĠzvÃŃ ÅĻ", + "ĠíļĮ ìĽIJ", + "Ġya par", + "Ġyap ar", + "ä¼ĺ åĬ¿", + "ен нÑĭми", + "еннÑĭм и", + "ĠØ£ Ø«", + "ì² Ļ", + "Ġji ného", + "Ġjin ého", + "Ġjiné ho", + "Ġد Ùģاع", + "ĠدÙģ اع", + "ĠØŃÚ© ÙĪÙħ", + "Ġr izik", + "Ġri zik", + "ά λι", + "άλ ι", + "à¸ĩ à¸Ĥ", + "èµ ¢", + "Ġ ÎķÎĽ", + "ĠÎķ ÎĽ", + "Ġok um", + "Ġoku m", + "æĶ¶ åħ¥", + "ĠÚĨ ÛĮÙĨ", + "æľī çļĦ", + "ÑĨ ами", + "ÑĨа ми", + "d ÄĽnÃŃ", + "dÄĽ nÃŃ", + "ĠкоÑĢ аб", + "Ġко ÑĢаб", + "ĠкоÑĢа б", + "Ġa landa", + "Ġal anda", + "Ġalan da", + "ส à¸Ļาม", + "สà¸Ļ าม", + "ï¼ī ãģ®", + "ı sız", + "ıs ız", + "ısı z", + "ÙĬ ÙĬر", + "Ùĥ ÙĬØ©", + "ÙĥÙĬ Ø©", + "Ġnebo Å¥", + "Ġbit ir", + "Ġbi tir", + "Ġ ãĥľ", + "Ġãĥ ľ", + "Ùij ا", + "ï¼ Ĩ", + "ĠاÙĦت ارÙĬØ®", + "มห าà¸Ļà¸Ħร", + "at ürk", + "ãĤ¹ãĥĨ ãĥł", + "θή κη", + "Ġ καν", + "Ġκ αν", + "Ġκα ν", + "ĠS ür", + "ĠSü r", + "Ġd Ä±ÅŁÄ±", + "ĠdÄ±ÅŁ ı", + "Ġk ancel", + "Ġkan cel", + "ĠÙ¾ خش", + "h Pa", + "ĠÄį t", + "ĠпÑĢ оÑħ", + "ĠпÑĢо Ñħ", + "à¹ī à¸Ī", + "Ġê±° ìķ¼", + "ĠдеÑĢжав ного", + "èĤ¡ 举", + "ìĿ´ íģ¬", + "Ùĥ تÙĪر", + "Ùĥت ÙĪر", + "ĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "è¨ º", + "Ġب Ùħا", + "ĠبÙħ ا", + "ĠноÑĢм аÑĤив", + "ç iler", + "çi ler", + "à¸ĩ ศ", + "éĽĨ ä¸Ń", + "ÑĢ иÑģ", + "ÑĢи Ñģ", + "Ñĩ аÑĶ", + "Ñĩа ÑĶ", + "li ÄŁin", + "liÄŁi n", + "liÄŁ in", + "ãĥ¼ ãĤ¿ãĥ¼", + "ãĥ¼ãĤ¿ ãĥ¼", + "а ÑĢаÑĤ", + "аÑĢ аÑĤ", + "аÑĢа ÑĤ", + "åĬĽ éĩı", + "ĠÑģÑħ ем", + "åħ¥ åı£", + "离 å¼Ģ", + "ÏģοÏĨοÏģ ίεÏĤ", + "ĠÐĹ Ð°ÑĤем", + "ĠkarÅŁ ısında", + "ĠkarÅŁÄ± sında", + "ĠاÙĨت ظ", + "ï½ Ĭ", + "Ġ eÅŁit", + "ĠeÅŁ it", + "Ġyaz ılı", + "Ġyazı lı", + "Ðļ ом", + "ا زÙĬ", + "از ÙĬ", + "Ġki mse", + "Ġkim se", + "Ġkims e", + "ÑĢа Ñīи", + "ÑĢаÑī и", + "ัà¸ģ ส", + "Ġkan un", + "Ġka nun", + "Ġ ëIJĺìĹĪ", + "ĠëIJĺ ìĹĪ", + "Ġι ÏĥÏĩ", + "Ġм еди", + "Ġмед и", + "æ° §", + "ï¼Į åħ¶ä¸Ń", + "ï¼Įåħ¶ ä¸Ń", + "Ġyok tu", + "Ġ ãĤ½", + "ĠãĤ ½", + "ĠпÑĢи обÑĢеÑĤ", + "ÙĪ ÛĮØ´", + "ÙĪÛĮ Ø´", + "ãħł ãħł", + "Ġکرد Ùħ", + "Ġکر دÙħ", + "Ġdu var", + "Ġ ç¸", + "Ġç ¸", + "ıs ır", + "ısı r", + "Ġïº į", + "ĠÐłÐ¾Ñģ ÑģиÑı", + "à¹ī à¹ĥà¸Ļ", + "Ġ iÅŁi", + "Ġi ÅŁi", + "ĠiÅŁ i", + "d ol", + "do l", + "ĠÙħØŃ ÙħÙĪد", + "ĠÑģам ÑĭÑħ", + "ĠبÙĨابر اÛĮÙĨ", + "ãĤĮ ãģ©", + "ุà¸ķ สาห", + ". »", + "ู à¸Ĭ", + "ĠT ep", + "ĠTe p", + "ãģı ãĤĵ", + "Ġ å¸ĥ", + "Ġå¸ ĥ", + "Ġत ल", + "Ġs erm", + "Ġse rm", + "Ġser m", + "λ ÏĮγ", + "λÏĮ γ", + "ĠÅŀ imdi", + "Ġà¤ľà¤¨ त", + "- ÐĴ", + "è¨ ª", + "ĠвÑĸд пов", + "ิ à¸Ļà¸Ķ", + "ิà¸Ļ à¸Ķ", + "ι ÏĥμÏĮÏĤ", + "ιÏĥμ ÏĮÏĤ", + "Ω Τ", + "âĨĴ âĨĴ", + "ικο ί", + "ĠÑģп ÑĢава", + "ĠÑģпÑĢав а", + "æľº åħ³", + "Ġ ÃĿ", + "Ġà Ŀ", + "Ġм ова", + "Ġмо ва", + "Ġмов а", + "Ġмог ла", + "Ġд лиÑĤелÑĮ", + "ãģĹ ãģ¦ãĤĤ", + "ãģĹãģ¦ ãĤĤ", + "Ġβ Ïģί", + "Ġж од", + "éĹ ª", + "ĠмÑĸ ÑģÑĮкоÑĹ", + "η Ïģε", + "çł Ĥ", + "Ġkter ých", + "Ġkterý ch", + "ĠÐĵ олов", + "ĠÐĵол ов", + "Ġh á»Ļp", + "Ġhá»Ļ p", + "Ġpa nÃŃ", + "Ġpan ÃŃ", + "تÙħ اد", + " ľ", + "åįģ åħŃ", + "κ οÏĤ", + "κο ÏĤ", + "ев ÑĭÑħ", + "æĭ Ĵ", + "ĠÑģÑĤ оÑĢон", + "ĠÑģÑĤоÑĢ он", + "ĠÑģÑĤо ÑĢон", + "Ġph óng", + "ĠÑĥлÑĥÑĩ ÑĪ", + "m rt", + "mr t", + "m par", + "mp ar", + "ĠS lav", + "ĠSl av", + "Ġ kov", + "Ġk ov", + "Ġko v", + "ìĿ¸ ìĿĢ", + "Ġ åºĶ", + "Ġåº Ķ", + "ั à¸ļà¸Ħ", + "ัà¸ļ à¸Ħ", + "Ġk ì", + "Ġa Å¥", + "ÅĻ ÃŃt", + "ÅĻÃŃ t", + "ì° Į", + "Ùħ ÙĨت", + "ÙħÙĨ ت", + "ıyor lar", + "æŃ£ 常", + "н ÑıÑĤÑĤÑı", + "нÑıÑĤ ÑĤÑı", + "r acÃŃ", + "ra cÃŃ", + "rac ÃŃ", + "ĠпиÑĤ аниÑı", + "à¸Īะ à¹Ģà¸Ľ", + "ĠاÙĦÙĩ ÙĨد", + "ĠD ost", + "ĠDo st", + "ĠDos t", + "ĠÐĴаÑģ илÑĮ", + "Ġ íĥĦ", + "Ġíĥ Ħ", + "Ġn ạn", + "à¹Īà¸Ń à¹Ħà¸Ľ", + "رÙĪ ض", + "± ظ", + "Ġbych om", + "à¸Ļ วย", + "à¸Ļว ย", + "ãģł ãģ£ãģ¦", + "ĠÐĺ Ñģп", + "ĠÐĺÑģ п", + "à¸Ħร à¸ļ", + "Ġ สà¸ĸาà¸Ļ", + "Ġส à¸ĸาà¸Ļ", + "ĠëĤ ®", + "j iÅ¡tÄĽ", + "ji Å¡tÄĽ", + "ĠÙģ ÙĪت", + "ĠÙģÙĪ ت", + "ĠCh Æ°Æ¡ng", + "ĠìĿ´ 루", + "ĠpÅĻÃŃ tom", + "t ual", + "tu al", + "b ette", + "be tte", + "bet te", + "bett e", + "Ġsa bah", + "Ġsab ah", + "μ ί", + "Ġm á»ĩnh", + "Ġmá»ĩ nh", + "ãģ® ãģłãĤįãģĨ", + "ãģ®ãģł ãĤįãģĨ", + "Ġzam ÄĽÅĻ", + "åįģ äºĶ", + "ĠìķĬ ìĿĦ", + "اÙĨ ÙĪ", + "е нÑĥ", + "ен Ñĥ", + "ĠÑĥ год", + "ĠÑĥг од", + "ĠV Æ°á»Ŀn", + "Ġëĵ± ìĿĦ", + "Ġbelirt ilen", + "æŁ Ħ", + "Ġtek lif", + "¬ Ĥ", + "Ġпод аÑĤков", + "ĠاÙĦ ÙĨÙĩ", + "ĠاÙĦÙĨ Ùĩ", + "ï¼ ´", + "ìĽ ĥ", + "Ġ हल", + "Ġह ल", + "Ġ имÑĥ", + "Ġи мÑĥ", + "Ġим Ñĥ", + "ĠкоÑĤоÑĢ Ñĭм", + "ï¼Į 以åıĬ", + "ï¼Į以 åıĬ", + "ĠÑĤаб ли", + "ा :", + "Ġب رج", + "Ġبر ج", + "ĠÎŃ Î½Î±Î½", + "ĠÎŃνα ν", + "ĠÎŃν αν", + "ĠÙĬ ÙĪÙĦÙĬÙĪ", + "ý Å¡", + "Ġ ÙĬج", + "ĠÙĬ ج", + "ĠÑĤÑĢо Ñħи", + "æŀ Ŀ", + "Ġd Ãły", + "ĠBur ada", + "ĠBu rada", + "ĠÏĥÏħ μβ", + "ĠÎij ÏģÏĩ", + "ĠÎijÏģ Ïĩ", + "Ġsoci álnÃŃ", + "Ġ Ú¯ÙĪ", + "ĠÚ¯ ÙĪ", + "Ġyan ıt", + "Ġyanı t", + "ãģ¯ ãģªãģĦ", + "ãģ® ä¸Ĭ", + "Ġn úi", + "ĠرÙģت ار", + "ĠÙħ رات", + "ĠÙħر ات", + "ز ÙħاÙĨ", + "زÙħ اÙĨ", + "าà¸Ī ารย", + "ĠÑĩиÑģ лÑĸ", + "Ġس ÙĨت", + "ĠسÙĨ ت", + "ĠÃĸzel likle", + "ì ĩ¼", + "ìĩ ¼", + "ĠÄį ÃŃm", + "AD DE", + "ADD E", + "ãģ® ãĤĪãģĨãģª", + "ÙĪÙĦÙĪ ÚĺÛĮ", + "ĠíĻľ ìļ©", + "ãĢģ ãģ©ãģĨ", + "ĠÎł ÏģÏī", + "çĻ» åł´", + "Ġнад аннÑı", + "Ġм еÑĢеж", + "ĠмеÑĢ еж", + "ĠмеÑĢе ж", + "Ġ ìĿµ", + "ĠìĿ µ", + "jÃŃ cÃŃch", + "jÃŃcÃŃ ch", + "it ou", + "ito u", + "ÙĤ ÙĪÙĦ", + "Ùħ ج", + "Ġب ÙĨد", + "ĠبÙĨ د", + "Ġön üne", + "Ġ ï½°", + "Ġï½ °", + "з в", + "Ġе ÑģÑĤе", + "Ðł Ðĺ", + "ÑĢ ол", + "ÑĢо л", + "a yla", + "ay la", + "Ġк лÑĥ", + "Ġкл Ñĥ", + "æݨ èĸ¦", + "ĠÑĢоз ÑĢаÑħ", + "Ġ ìĥģëĭ´", + "Ġìĥģ ëĭ´", + "ĠÙĨ سÙħØ©", + "ĠÙĨس ÙħØ©", + "Ġви Ñħод", + "à¥Ģ à¤Ĩà¤Ī", + "ĠпÑĢи ÑģÑĤÑĥп", + "ÙĴ ع", + "ĠteÅŁ ekkür", + "дÑı ки", + "Ġfi kir", + "Ġfik ir", + "ัศ à¸Ļ", + "ĠآزÙħ اÛĮØ´", + "Ġb izi", + "Ġbi zi", + "Ġbiz i", + "ÏĨ αÏģ", + "ÏĨα Ïģ", + "æľª æĿ¥", + "æIJ º", + "Ġδ Ïħνα", + "ĠδÏħ να", + "Ġ رÙĪÙħ", + "Ġر ÙĪÙħ", + "ĠرÙĪ Ùħ", + "Ġb undan", + "Ġbund an", + "Ġbun dan", + "ĠÙĤ اÙĦب", + "ĠÙĤاÙĦ ب", + "Ġ haft", + "Ġh aft", + "Ġha ft", + "Ġhaf t", + "å¿ ½", + "ĠÐľ оÑĢ", + "Ġzá pas", + "Ġzáp as", + "Ġ ë¹Ľ", + "Ġë¹ Ľ", + "å» ·", + "äºĪ ç´Ħ", + "Ġkh uyến", + "Ġ ÎijÎĵ", + "ĠÎij Îĵ", + "Ġìŀij ìĹħ", + "ड र", + "Ġjednodu ch", + "à¥ī म", + "ĠdeÄŁ ildi", + "ĠdeÄŁil di", + "Ġk olo", + "Ġko lo", + "Ġkol o", + "Ġد ÙĤÛĮ", + "л ами", + "ла ми", + "лам и", + "ĠH á»įc", + "ĠHá»į c", + "Ġप स", + "ĠÎł ÏģÏĮ", + "ĠâĹ ij", + "Ġ наÑģлÑĸд", + "Ġна ÑģлÑĸд", + "ĠнаÑģ лÑĸд", + "Ġ диви", + "Ġди ви", + "Ġдив и", + "ĠpÅĻes nÄĽ", + "ĠТак им", + "ĠТа ким", + "Ġru kou", + "Ġruk ou", + "ä¸Ģ åĪĩ", + "ĠÑģ пÑĢи", + "ĠÑģп ÑĢи", + "en ské", + "ens ké", + "æĹ ¦", + "ĠÙĤ ÙĨ", + "Ġú stav", + "िश त", + "à¹Į )", + "ĠT rang", + "ĠTr ang", + "ĠTra ng", + "ĠTran g", + "Ġmoh la", + "Ġmohl a", + "ĠÎķ λλην", + "Ġп оки", + "Ġпо ки", + "Ġпок и", + "ĠØ¢ Ùħار", + "ĠØ¢Ùħ ار", + "åIJ ¾", + "ĠÑĢ еÑģп", + "ĠÑĢе Ñģп", + "ĠÑĢеÑģ п", + "Ġta kdir", + "Ġtak dir", + "Ġrahat sız", + "éŁ³ ä¹IJ", + "Ġ âĶĥ", + "ĠâĶ ĥ", + "i lis", + "il is", + "ili s", + "ĠÙĪ اÙĦØ¥", + "ĠÙĪاÙĦ Ø¥", + "å® Ļ", + "Ñĥ мов", + "Ñĥм ов", + "ĠÐĽ иÑĤ", + "ĠÐĽÐ¸ ÑĤ", + ": :::|", + ":: ::|", + ":::: |", + "::: :|", + "åħ ½", + "ĠÙĨزد ÛĮÚ©", + "е лÑĸв", + "ел Ñĸв", + "елÑĸ в", + "θ οÏįν", + "θο Ïįν", + "ìĹIJìĦľ ëıĦ", + "èµĦ æł¼", + "çIJĨ 论", + "ĠKe mal", + "ĠKem al", + "Ġк еÑĢ", + "ษ ายà¸Ļ", + "Ġ åįİ", + "Ġåį İ", + ") ìĹIJ", + "Ġ ëĬĺ", + "ĠëĬ ĺ", + "ãĥĿ ãĥ¼ãĥĪ", + "ĠÐĹ Ð´", + "اص ÙĬÙĦ", + "Ġk atı", + "Ġka tı", + "Ġkat ı", + "ãĤĤãģĹ ãĤĮãģªãģĦ", + "Ġкажд ого", + "Ġ дÑĢ", + "Ġд ÑĢ", + "Ġfut bol", + "ÙĦ ÙĬÙģ", + "ÙĦÙĬ Ùģ", + "Ġì§Ģ ëĤľ", + "ĠÙ¾ÛĮØ´ ÙĨÙĩ", + "ü lük", + "ül ük", + "ülü k", + "Ġ à¸ķำà¸ļล", + "Ġà¸ķำ à¸ļล", + "Ġb áºŃc", + "Ġ åĽł", + "ĠåĽ ł", + "ik ler", + "Ïģ ιά", + "Ïģι ά", + "Ġв важа", + "Ġвваж а", + "Ġvy pl", + "Ġvyp l", + "Ġв низ", + "í Ģ", + "çľ ¾", + "ĠÑģ ила", + "ĠÑģи ла", + "ĠÑģил а", + "ĠналиÑĩи и", + "Ġع راÙĤ", + "ĠاÙĦÙħ Ùĥ", + "å°± ä¼ļ", + "Ġм Ñĸг", + "ĠмÑĸ г", + "ĠÎĮ μιλοÏĤ", + "Ñī его", + "Ñīе го", + "Ġíĸī ìłķ", + "Âł mph", + "Âłm ph", + "Ġma lé", + "Ġmal é", + "ĠÛĮ اÙģتÙĩ", + "ĠÛĮا ÙģتÙĩ", + "ĠÛĮاÙģت Ùĩ", + "Ġmn oha", + "Ġmnoh a", + "γ ά", + "Ġпо ÑģÑĤÑĢо", + "ĠпоÑģ ÑĤÑĢо", + "ĠпоÑģÑĤ ÑĢо", + "ĠاÙĦÙħ ÙĪس", + "ĠاÙĦÙħÙĪ س", + "Ġol ma", + "Ġolm a", + "ëī´ ìĬ¤", + "Ġt utar", + "Ġtu tar", + "Ġtut ar", + "ãĥ¼ãĥĵ ãĤ¹", + "à¥įथ न", + "-ли бо", + "æ¥Ń åĭĻ", + "ĠоÑģоб ливо", + "ĠоÑģоблив о", + "è® Ģ", + "ÙģÙĩ ÙĪÙħ", + "Ġk ẻ", + "Ġ Å¡tÄĽ", + "ĠÅ¡ tÄĽ", + "ĠÅ¡t ÄĽ", + "Ġc ầm", + "ĠÄįlán ky", + "ĠÄIJ iá»ĩn", + "( =", + "OV Ãģ", + "ul du", + "uld u", + "a ft", + "af t", + "Ġl ãi", + "Ġlã i", + "Ġd oldur", + "Ġdol dur", + "³³ ³³³³³³³³³", + "³³³³ ³³³³³³³", + "³³³ ³³³³³³³³", + "³³³³³³³³ ³³³", + "³³³³³³³ ³³³³", + "³³³³³ ³³³³³³", + "³³³³³³ ³³³³³", + "³³³³³³³³³ ³³", + "β ι", + "ãģ£ãģ¦ ãģįãģŁ", + "ì¶ľìŀ¥ ìķĪë§Ī", + "å¯ Ŀ", + "Ġë¶Ģ íĥģ", + "ĠاÙĦ اخ", + "Ġγ Ïħνα", + "à¤ı म", + "à¥Į ल", + "ع ادة", + "عا دة", + "عاد Ø©", + "Ġ κοÏħ", + "Ġκ οÏħ", + "Ġκο Ïħ", + "ĠÙħØ· رØŃ", + "ĠÑĩелов еÑĩ", + "Ġn umar", + "Ġnum ar", + "Ġnu mar", + "Ġnuma r", + "Ġ дина", + "Ġд ина", + "Ġди на", + "ÏĦ ÏģÎŃ", + "ÏĦÏģ ÎŃ", + "λ ικ", + "λι κ", + "Ġдол го", + "Ġnh iêu", + "ĠвоÑģ ÑģÑĤанов", + "ap ı", + "Ġ kanı", + "Ġk anı", + "Ġkan ı", + "ĠK ế", + "ãĤī ãģļ", + "Ġhar ek", + "Ġha rek", + "Ġhare k", + "ãģłãģij ãģ§", + "æ» ħ", + "Ġo hled", + "Ġoh led", + "е ÑĢим", + "еÑĢ им", + "еÑĢи м", + "ĠØŃ ÙĬÙĨ", + "ĠØŃÙĬ ÙĨ", + "ĠÙĤ Ùĩر", + "Ġब à¥Ŀ", + "اپ ÛĮÙħ", + "è¶ħ è¿ĩ", + "Ġ æħ", + "Ġæ ħ", + "Ġت Ùģس", + "ĠتÙģ س", + "as ıyla", + "ası yla", + "б иÑĤ", + "би ÑĤ", + "ĠØŃ Ø§Ø¬", + "ĠÑĤÑĢеб ованиÑı", + "Ġ æݨ", + "Ġæİ ¨", + "Ġ ç±³", + "Ġç± ³", + "ãĤ³ ãĥ¼ãĥī", + "ĠÑĥ Ñģи", + "ĠÑĥÑģ и", + "Ġاخ ÙĦاÙĤ", + "Ġdo stup", + "Ġdost up", + "Ġع ÙĦاÙĤ", + "ĠعÙĦ اÙĤ", + "िव स", + "Ġ оди", + "Ġо ди", + "Ġод и", + "t ej", + "te j", + "Ġthá» ıa", + "ัà¸ģษ à¸ĵะ", + "ัà¸ģษà¸ĵ ะ", + "ĠÑĢаÑģ к", + "ĠÑĢа Ñģк", + "ĠÐĿ аÑĢод", + "ĠÐĿа ÑĢод", + "Ġза кÑĥп", + "Ġзак Ñĥп", + "o že", + "ož e", + "Ġاج را", + "Ġاجر ا", + "ê´ij ê³ł", + "аÑĢÑĤ ам", + "Ġп еÑĢеж", + "ĠпеÑĢ еж", + "ĠпеÑĢе ж", + "èij£ äºĭ", + "ĠÑı коÑģÑĤÑĸ", + "ĠÑıк оÑģÑĤÑĸ", + "Ġв Ñĥл", + "м он", + "мо н", + "Ġch lap", + "Ġ ÑįÑĤомÑĥ", + "ĠÑįÑĤ омÑĥ", + "ĠÑįÑĤо мÑĥ", + "ĠÑįÑĤом Ñĥ", + "а ÑĤÑĸ", + "аÑĤ Ñĸ", + "Ġ íĴĪ", + "Ġí ĴĪ", + "ĠíĴ Ī", + "è¡Ĺ éģĵ", + "س د", + "ÙĪ رÙĩ", + "ÙĪر Ùĩ", + "ĠزÛĮ اد", + "åľ¨çº¿ è§Ĩé¢ij", + "ا ÙĪÙĬØ©", + "اÙĪ ÙĬØ©", + "اÙĪÙĬ Ø©", + "ï¼Į å°±æĺ¯", + "ï¼Įå°± æĺ¯", + "e lerinden", + "eler inden", + "elerin den", + "elerinde n", + "ÑĢ ажд", + "ÑĢа жд", + "ÑĢаж д", + "Ġп озд", + "Ġпо зд", + "Ġпоз д", + "Ġзна ÑĤÑĮ", + "Ġзн аÑĤÑĮ", + "ัà¸ļ สà¸Ļ", + "ัà¸ļส à¸Ļ", + "à¥ĩà¤ĸ त", + "Ġ æĽ°", + "Ġæ Ľ°", + "ĠæĽ °", + "ê³¼ ìłķ", + "é® ®", + "ĠV iá»ĩn", + "ĠVi á»ĩn", + "Ġd voj", + "Ġdv oj", + "ίν εÏĦαι", + "Ġosob nÃŃch", + "ĠosobnÃŃ ch", + "Ġ âĢª", + "ĠâĢ ª", + "éĻ µ", + "ĠØ®ÙĪد Ø´", + "ĠاÙĨ ر", + "ĠпÑĢоÑĦеÑģÑģи оналÑĮ", + "k ám", + "ká m", + "ĠÙħ ÙĥاÙĨ", + "ĠÙħÙĥ اÙĨ", + "ĠاÙĦØ£ د", + "Ġ ê³µë¶Ģ", + "Ġê³µ ë¶Ģ", + "ĠÄij ức", + "ĠÄijứ c", + "ĠCumhur iyeti", + "ĠCumhuriyet i", + "åĩº ãģĹ", + "д ами", + "да ми", + "дам и", + "ĠìĪĺ ìĥģ", + "ĠÙģ براÙĬر", + "Ġsü resi", + "Ġsür esi", + "Ġsüre si", + "Ġب ج", + "Ġ æĶ¾", + "ĠæĶ ¾", + "ØŃ ÛĮ", + "çłĶ究 æīĢ", + "åĩºçīĪ 社", + "ĠÙħÙĪ تÙĪر", + "&& &&", + "ĠпеÑĢ ей", + "ĠпеÑĢе й", + "Ġ ìĦłê±°", + "ĠìĦł ê±°", + "ĠúspÄĽ Å¡", + "ار Ú©", + "Ġet tir", + "Ġett ir", + "Ġetti r", + "Ġ ì¶ľìŀ¥", + "Ġì¶ľ ìŀ¥", + "ĠKa nun", + "ĠKan un", + "ĠÑĥменÑĮ ÑĪ", + "ĠзаÑĤ веÑĢдж", + "ĠاÙĦد ÙĪÙĦÙĬ", + "ĠاÙĦدÙĪÙĦ ÙĬ", + "Ġ ãĥĵ", + "Ġãĥ ĵ", + "ĠB azı", + "ĠBa zı", + "ĠBaz ı", + "åŃIJ ãģ®", + "åĩ ¯", + "Ġse beb", + "Ġseb eb", + "Ġsebe b", + "Ġ åħ±", + "Ġåħ ±", + "Ġd nů", + "Ġdn ů", + "ä½į äºİ", + "ĠZ d", + "æī ±", + "Ġتج ربÙĩ", + "ÃĶ NG", + "Ġìĺ¬ ëĿ¼", + "Ïī ÏĦεÏģ", + "ĠÑģ вид", + "ĠÑģв ид", + "ĠÑģви д", + "æ¯Ķ èµĽ", + "ãģ« åIJij", + "ìľĦ 를", + "ãģĹ ãģ¾ãģĹãģŁ", + "ãģĹãģ¾ ãģĹãģŁ", + "Ġd á»ĭ", + "ĠÐł ÑĥÑģ", + "Ġv á»ı", + "Ġvá» ı", + "à¤Ĥड ल", + "Ġп иÑī", + "Ġпи Ñī", + "Ġsmr ti", + "Ġsmrt i", + "à¸Īาà¸ģ à¸ģาร", + "ĠÑģаÑħ аÑĢ", + "Ġtho át", + "ج ÙħØ©", + "جÙħ Ø©", + "Ġпоз вол", + "ĠاÙĦØ« اÙĨÙĬØ©", + "ĠاÙĦثاÙĨÙĬ Ø©", + "ز ادÙĩ", + "زا دÙĩ", + "ãĢģ ä¸Ń", + "ή μεÏģα", + "æ¦ ľ", + "l acaģı", + "lac aģı", + "lacaÄŁ ı", + "Ġна ÑĪиÑħ", + "ĠнаÑĪ иÑħ", + "ìĶ Ģ", + "ĠÐĺ ÑģÑĤоÑĢиÑı", + "ün deki", + "ünd eki", + "ünde ki", + "ĠпеÑĢ ел", + "ĠпеÑĢе л", + "Ġ목 ìĨĮ", + "ĠÑģÑĤаÑĤ ÑĥÑģ", + "о вали", + "ов али", + "ова ли", + "овал и", + "ÅĻ az", + "ĠдÑĢÑĥг ого", + "ĠдÑĢÑĥго го", + "ÙĥÙĪÙħ Ø©", + "ÙĥÙĪ ÙħØ©", + "Ñĩ иÑģÑĤ", + "Ñĩи ÑģÑĤ", + "ÑĩиÑģ ÑĤ", + "μ μ", + "åıį åºĶ", + "ic ari", + "ica ri", + "ĠÙ¾ اک", + "Ġپا Ú©", + "алÑĮ ним", + "ĠB una", + "ĠBu na", + "ĠBun a", + "и ÑĤив", + "иÑĤ ив", + "иÑĤи в", + "ÑĦ ÑĢа", + "ãĥ¼ ãĥĸãĥ«", + "ãĥ¼ãĥĸ ãĥ«", + "ĠÑĤоб ÑĤо", + "룬 ìĬ¤", + "ĠاÙĦ اع", + "åħ¬ éĸĭ", + "å¥ ī", + "ÙĪÙĦ د", + "åIJį çĦ¡ãģĹ", + "æ°ij 主", + "à¥ģ à¤ľà¤°", + "à¥ģà¤ľ र", + "ìĤ¬ 무", + "Ġön celik", + "Ġönce lik", + "Ġönc elik", + "Ġ å¨", + "Ġå ¨", + "Ñı б", + "çľ ī", + "à¥įव य", + "ĠH ình", + "çļĦ åľ°æĸ¹", + "çļĦåľ° æĸ¹", + "ĠاÙĦ تس", + "ĠاÙĦت س", + "ä¸Ī 夫", + "Ġп ÑĥблÑĸ", + "ĠnÄĽjak é", + "ÄIJ á»iji", + "ĠÑģоÑģÑĤоÑı ниÑı", + "à¥Ģ )", + "ĠÄij áºŃu", + "j ed", + "je d", + "ê ¶ģ", + "Ġs enin", + "Ġse nin", + "Ġsen in", + "Ġseni n", + "ĠH óa", + "âĻ ł", + "лÑı ÑİÑĤÑĮ", + "лÑıÑİÑĤ ÑĮ", + "éĹ ²", + "ìĿ¸ íĬ¸", + "ت بÙĩ", + "تب Ùĩ", + "Ġरà¤ĸ त", + "ĠÑģлов ами", + "ĠÑģлова ми", + "ĠÑģло вами", + "Ġطب ÙĤ", + "Ġuy du", + "ุà¸ĩà¹Ģà¸Ĺà¸ŀ มหาà¸Ļà¸Ħร", + "ĠSan at", + "ĠSa nat", + "à¹ī าà¸Ĭ", + "à¹īา à¸Ĭ", + "Ġкни ж", + "Ìģ c", + "ا Ùħج", + "اÙħ ج", + "δ Ïİ", + "Å ®", + "Ġb inh", + "Ġbi nh", + "Ġbin h", + "è¾ Ĩ", + "n eÄŁi", + "ne ÄŁi", + "Ø· ÙĨ", + "å¸ ķ", + "Ġ ìĩ¼", + "Ġì ĩ¼", + "оÑģ ÑĢед", + "ĠοÏĢο ίο", + "k ır", + "kı r", + "à¥Ī श", + "Ġ à¸ĩาà¸Ļ", + "Ġà¸ĩ าà¸Ļ", + "Ġd ruž", + "Ġdru ž", + "em atik", + "ema tik", + "emat ik", + "a dıģ", + "ad ıģ", + "adı ÄŁ", + "è¾ ŀ", + "ĠpoužÃŃ vá", + "Ġkur tar", + "ĠsaÄŁ lan", + "ãĢı ï¼Ī", + "Ġmůže me", + "Ġmůž eme", + "Ġ باد", + "Ġب اد", + "Ġبا د", + "æľŁ éĹ´", + "ا تÙģ", + "ات Ùģ", + "Ġyaz ılım", + "Ġyazılı m", + "ĠìĹ° ê²°", + "ÙĬ ÙģØ©", + "ÙĬÙģ Ø©", + "Ġ emin", + "Ġe min", + "Ġem in", + "ĠнеÑģколÑĮ киÑħ", + "Û´ Û°", + "å¯ §", + "ί ζει", + "ίζ ει", + "Ġd él", + "Ġdé l", + "ver iÅŁ", + "価 æł¼", + "Ġاست اد", + "Ġал ког", + ".H CM", + "ί οÏĤ", + "ίο ÏĤ", + "α κ", + "Ø· ع", + "ãģ£ ãģį", + "ãģ£ãģ į", + "Ñı еÑĤÑģÑı", + "ÑıеÑĤ ÑģÑı", + "л ика", + "ли ка", + "лик а", + "Ġ ÑĨÑı", + "ĠÑĨ Ñı", + "Ġë§Ī ì§Ģë§ī", + "ĠаÑĢ ми", + "Ġγ λÏİ", + "E NÃį", + "EN Ãį", + "ë ®¤", + "ŃIJ ï¸ı", + "Ġ æ¯ı", + "Ġæ¯ ı", + "Ġ æĸ¼", + "Ġæĸ ¼", + "Ġκα λÏį", + "ĠТ ом", + "ĠТо м", + "ul ur", + "ulu r", + "Ġak ce", + "ĠÙħÙĪ جب", + "ĠÙħÙĪج ب", + "e siz", + "es iz", + "esi z", + "н Ñıв", + "нÑı в", + "алÑĮ нÑĥÑİ", + "алÑĮнÑĥ Ñİ", + "ал ÑĸÑģÑĤ", + "алÑĸ ÑģÑĤ", + "Ġв аÑĢÑĸ", + "ĠваÑĢ Ñĸ", + "Ġва ÑĢÑĸ", + "ĠÙħؤ س", + "ĠÙħ اÛĮÙĦ", + "ĠÙħا ÛĮÙĦ", + "ĠμεÏĦα ξÏį", + "åĩº ãģĻ", + "Ġv á»Ŀi", + "Ġvá» Ŀi", + "ëŁ ´", + "ï¼ ĭ", + "æ¯ İ", + "Ġt abi", + "Ġtab i", + "Ġta bi", + "âĤ ĥ", + "æ£ĭ çīĮ", + "Ġ ÃIJ", + "Ġà IJ", + "ĠпÑĢоÑĦеÑģ Ñĸй", + "Ñĥв аннÑĸ", + "Îľ Îł", + "Ġж ил", + "Úĺ ÙĨ", + "л ÑĥÑĪ", + "лÑĥ ÑĪ", + "á½ ´", + "о веÑĢ", + "ов еÑĢ", + "ове ÑĢ", + "è¾¼ ãģ¿", + "ĠÐľ акÑģим", + "ĠÐľÐ°Ðº Ñģим", + "Ġвз глÑıд", + "Ġн аÑĤÑĥ", + "Ġна ÑĤÑĥ", + "ĠнаÑĤ Ñĥ", + "म à¤ķ", + "ĠÑħ ими", + "ĠÑĢозÑĤа ÑĪ", + "ÙĪ راÙĨ", + "ÙĪر اÙĨ", + "ÙĪرا ÙĨ", + "ĠØ´Ùĩر ÙĩاÛĮ", + "æ© Łèĥ½", + "æ©Ł èĥ½", + "Ø® Ø°", + "ĠÑģво ÑĶÑĹ", + "ĠÑģвоÑĶ ÑĹ", + "н ÑıеÑĤ", + "нÑı еÑĤ", + "Ġgh ế", + "ĠpÅĻed ch", + "ÑĶ ÑĪ", + "огÑĢаÑĦ ÑĸÑı", + "Ġ à¸Ĺำà¹ĥห", + "Ġà¸Ĺำ à¹ĥห", + "åĿ Ĭ", + "Ïģ Ïīν", + "ÏģÏī ν", + "า ระ", + "าร ะ", + "ĠK ết", + "ĠKế t", + "Ġch ặt", + "Ġ éĻĪ", + "ĠéĻ Ī", + "ĠdÄĽ lat", + "ĠdÄĽl at", + "ĠбÑĥд ÑĥÑī", + "ĠбÑĥдÑĥ Ñī", + "ĠAç ık", + "æłª å¼ıä¼ļ社", + "ĠÐŁ аÑĢ", + "ĠK hu", + "ĠKh u", + "ãĢģ æĸ°", + "Ġб ой", + "Ġбо й", + "ë§Ī íĬ¸", + "ĠÑģоп ÑĢов", + "س اب", + "н иÑģÑĤ", + "ни ÑģÑĤ", + "å¼ ĥ", + "Ġ Ø´ÙĨاس", + "ĠØ´ÙĨ اس", + "ен ном", + "енно м", + "Ġ 项", + "Ġé¡ ¹", + "èīº æľ¯", + "о зем", + "оз ем", + "ĠÑĢеÑĪ ениÑı", + "l ady", + "la dy", + "lad y", + "ĠвÑģ ей", + "ĠвÑģе й", + "æĶ» åĩ»", + "Ġê²° ìłķ", + "ãĢĢ ï¾ŀ", + "Ġê°IJ ëıħ", + "- ÐIJ", + "Ġm ÃŃr", + "ĠmÃŃ r", + "à¥ģप à¤ı", + "нÑĸ ÑĨип", + "б ом", + "бо м", + "Ġ Å¡t", + "ĠÅ¡ t", + "éľ į", + "ĠÑĢеÑĪ ение", + "Ġдиаг ноÑģÑĤи", + "i par", + "ip ar", + "ipa r", + "ا ÛĮز", + "اÛĮ ز", + "ã ng", + "ãn g", + "ั วร", + "ัว ร", + "ĠÑĨ аÑĢ", + "Ġs ly", + "Ġsl y", + "ν Ïİ", + "ĠK uzey", + "رÛĮ ب", + "Ġc enu", + "Ġce nu", + "Ġcen u", + "Ġcert if", + "Ġcer tif", + "ĠÑĤ ÑĢеÑĤÑĮ", + "ĠÑĤÑĢ еÑĤÑĮ", + "ĠÑĤÑĢеÑĤ ÑĮ", + "ิà¸Ķ à¸Ĥ", + "Ġпа ÑĨÑĸÑĶн", + "ÅĻ iv", + "ÅĻi v", + "èĦ Ĥ", + "¢ °", + "ĠPh ần", + "ĠмеÑĤод и", + "ĠмеÑĤ оди", + "Ạ¤", + "ìĨ Ķ", + "åIJĮ åѦ", + "Ġ åĢĭ", + "ĠåĢ ĭ", + "моÑĤ ÑĢÑı", + "моÑĤÑĢ Ñı", + "Ġuv ád", + "Û±Û¹ Û¶", + "éģ¸ æĬŀ", + "! »", + "ë ĺIJ", + "ĠÛĮ ÙĪتÛĮ", + "ĠاÙĦØŃ Ø±Ø¨", + "ĠاÙĦØŃر ب", + "олог ÑĸÑı", + "n ila", + "ni la", + "nil a", + "ĠÄij ảng", + "á zi", + "áz i", + "ÑĢ оÑī", + "ÑĢо Ñī", + "Ġort adan", + "Ġorta dan", + "Ġاخ بار", + "Ġà¤ħ à¤ľ", + "Ġ매 ìļ°", + "Ġп ой", + "Ġпо й", + "Ġ جÙĬ", + "Ġج ÙĬ", + "к ÑĥваÑĤи", + "кÑĥ ваÑĤи", + "Ġá» ŀ", + "Ġب شر", + "Ġبش ر", + "Ġ ÙĥÙĬÙĦ", + "ĠÙĥ ÙĬÙĦ", + "Ñī еÑģÑĤво", + "Ñīе ÑģÑĤво", + "ÑīеÑģÑĤв о", + "ĠìŬ íĸī", + "ا ÙħÙĬ", + "اÙħ ÙĬ", + "в ÑĸлÑĮ", + "вÑĸ лÑĮ", + "ĠPr vnÃŃ", + "Ġ ÙĪسÛĮ", + "ĠÙĪ سÛĮ", + "ĠÙĪس ÛĮ", + "ĠÄIJ á»", + "æĪ¿ éĹ´", + "åľ¨çº¿ éĺħ读", + "æķ ·", + "Ġt rai", + "Ġtr ai", + "Ġtra i", + "ä¿ Ĺ", + "ĠÑģамоÑģÑĤоÑıÑĤелÑĮ но", + "ĠÑĤÑĢеб ÑĥеÑĤÑģÑı", + "ĠÑĤÑĢебÑĥеÑĤ ÑģÑı", + "δ Ïģα", + "ĠÑĢеÑĩ ов", + "Ġв Ñĸк", + "ĠвÑĸ к", + "Ġ ÑĢÑĥÑĩ", + "ĠÑĢ ÑĥÑĩ", + "ĠÑĢÑĥ Ñĩ", + "å¥ §", + "ĠolduÄŁ una", + "ĠolduÄŁu na", + "ев Ñĭе", + "Ġ à¸Ħล", + "Ġà¸Ħ ล", + "ا ÙĦÙĤ", + "اÙĦ ÙĤ", + "ĠÑĸм енÑĸ", + "ĠÑĸмен Ñĸ", + "æĶ» æĴĥ", + "ĠÑĥнивеÑĢ ÑģиÑĤ", + "Ġth Äĥm", + "ĠлиÑģÑĤоп ада", + "२ ०", + "Ø® ÙĬ", + "Îķ Îł", + "Ġart tır", + "Ġس خت", + "Ġسخ ت", + "ï¼Ī æĺŃåĴĮ", + "ĠÎŁ Ïħ", + "и ваниÑı", + "ив аниÑı", + "ива ниÑı", + "Ġstav eb", + "âħ ¥", + "γÏī γή", + "γÏīγ ή", + "Ù ©", + "ĠиÑģÑģлед ованиÑı", + "åĢĭ 人", + "Ġëĭ¤ìļ´ë°Ľ 기", + "ĠÏĦ ελ", + "ĠÏĦε λ", + "° N", + "ĠباÙĦ ÙĨ", + "à¹Į à¸ŀ", + "Ġnem ůže", + "Ġголов а", + "Ġгол ова", + "à¹Į à¹ģ", + "æ¢ ¯", + " ĺ", + "δ ηÏĤ", + "δη ÏĤ", + "ìĿ¸ ì¦Ŀ", + "l ayın", + "lay ın", + "á½ ·", + "ĠÙĨت اÛĮج", + "ĠÑģоб лÑİд", + "Ġдви жениÑı", + "Ġдвиж ениÑı", + "ì Į", + "Ġ povÄĽ", + "Ġp ovÄĽ", + "Ġpo vÄĽ", + "Ġpov ÄĽ", + "Ġ ìłĦìĹIJ", + "ĠìłĦ ìĹIJ", + "å¦Ĥ ä¸ĭ", + "ĠاÙĦÙħ در", + "ĠاÙĦÙħد ر", + "ï¼Į æĪĸ", + "ا را", + "ار ا", + "æ°ij æĹı", + "Ġب رÙĤ", + "Ġبر ÙĤ", + "Ġзап аÑģ", + "à¸Ļ à¹ĥà¸Ī", + "é f", + "Ġ à¸Łà¸£", + "Ġà¸Ł ร", + "Ġë³´ ëĤ´", + "Ġ 欧ç¾İ", + "Ġ欧 ç¾İ", + "- ÑĤаки", + "-ÑĤ аки", + "é© ļ", + "ÑĢ ÑĸÑı", + "ÑĢÑĸ Ñı", + "æŁ ı", + "ĠповÑĸÑĤ ÑĢÑı", + "çµĦ ç¹Ķ", + "d aÅŁ", + "da ÅŁ", + "Ġहम ल", + "ĠÑĢеÑĶ ÑģÑĤÑĢа", + "ά β", + "ĠÎł ο", + "Ġê·¸ 림", + "Ñĩ аÑİÑĤ", + "Ñĩа ÑİÑĤ", + "à¸ĩ à¸ķ", + "íĥ ĢìĿ´", + "íĥĢ ìĿ´", + "æī ¬", + "Ġpo jist", + "Ġpoj ist", + "Ġ çłĶ", + "Ġçł Ķ", + "Ġ åıĸ", + "Ġåı ĸ", + "Ġüzer indeki", + "Ġüzerinde ki", + "j Å¡ÃŃch", + "jÅ¡ÃŃ ch", + "à¥Ģद व", + "æª ¢", + "ĠмаÑĤеÑĢи алов", + "ĠмаÑĤеÑĢиал ов", + "и ваннÑı", + "ив аннÑı", + "Ġ å°Ĩ", + "Ġå° Ĩ", + "л л", + "Ġнаб лÑİд", + "ĠнаблÑİ Ð´", + "ĠG öz", + "ĠGö z", + "Ġв зÑı", + "Ġвз Ñı", + "çĶµ è§Ĩ", + "Ġв ак", + "Ġва к", + "ç¿ Ķ", + "Ġвза им", + "Ġg itti", + "Ġgi tti", + "Ġgit ti", + "it eleri", + "ite leri", + "itel eri", + "itele ri", + "ä»· åĢ¼", + "ĠاÙĦ تص", + "ĠاÙĦت ص", + "िन à¤ķ", + "éĢļ ãĤĬ", + "ĠÑģ ÑĦеÑĢ", + "ĠÑģÑĦ еÑĢ", + "çĻº 売", + "âĿ ¤", + "ĠÚ¯ÙĪØ´ ÛĮ", + "ĠÚ¯ÙĪ Ø´ÛĮ", + "аг аÑĤо", + "ĠÏĥÏħ γκ", + "ав иÑģ", + "ави Ñģ", + "æĤ£ èĢħ", + "ĠØ® اÙħ", + "ÎĻÎļ ÎĹΣ", + "ÎĻÎļÎĹ Î£", + "ınız da", + "pan ÄĽl", + "pa nÄĽl", + "ĠÄIJ á»ĭa", + "à¹ģละ ส", + "Ġ ãĤĤ", + "ĠãĤ Ĥ", + "Ġsonuc unda", + "Ġsonucu nda", + "ìĿ į", + "e less", + "el ess", + "ele ss", + "ĠN ha", + "ĠNh a", + "Ġzak áz", + "Ġв оÑģÑĤ", + "Ġво ÑģÑĤ", + "ĠвоÑģ ÑĤ", + "ĠvzdÄĽl ávánÃŃ", + "- ม", + "Ġmet rů", + "ĠپاÛĮ ÛĮÙĨ", + "Ġپا ÛĮÛĮÙĨ", + "ĠÑĢаÑģÑĤ ение", + "Ġmu á»iji", + "èµĦ éĩij", + "ĠÅŁ üph", + "ÙĬ ÙĦÙħ", + "ÙĬÙĦ Ùħ", + "ĠdÃ¼ÅŁÃ¼n c", + "Ġк Ñĸм", + "ĠÏĩÏī ÏģίÏĤ", + "áz ev", + "áze v", + "ĠDe ÄŁer", + "ĠDeÄŁ er", + "å·¥ æ¥Ń", + "Ġر Ùħز", + "ĠرÙħ ز", + "Ġal espoÅĪ", + "ĠпÑĢе ÑģÑĤÑĥп", + "ĠпÑĢеÑģÑĤ Ñĥп", + "ĠعÙĦ اÙĪÙĩ", + "Ġme rak", + "Ġmer ak", + "à¹Į :", + "çİ° åľº", + "ÑĨ веÑĤ", + "Ġप à¥ľ", + "Ġëĭ¤ìĿĮ ê³¼", + "u dic", + "ud ic", + "udi c", + "ĠL ep", + "ĠLe p", + "Ġод нÑĸ", + "Ġa larak", + "Ġal arak", + "å®ī æİĴ", + "Ġ à¸Ĥà¸Ļาà¸Ķ", + "Ġà¸Ĥ à¸Ļาà¸Ķ", + "re zent", + "rez ent", + "is inden", + "isin den", + "isinde n", + "ر ÙĪÛĮ", + "رÙĪ ÛĮ", + "Ġp lu", + "Ġpl u", + "ç«ĭ ãģ¦", + "Ñĭ ваниÑı", + "Ñĭв аниÑı", + "Ñĭва ниÑı", + "Ġr ast", + "Ġra st", + "Ġras t", + "Ġdüzen lem", + "je zd", + "jez d", + "Ġве ÑīеÑģÑĤв", + "ĠвеÑī еÑģÑĤв", + "ĠдиÑĢ екÑĤоÑĢ", + "ÑĦ ÑĦ", + "t ainment", + "tain ment", + "ĠاÙĦ ÙĪز", + "ĠاÙĦÙĪ ز", + "l anda", + "land a", + "la nda", + "lan da", + "ĠÙĨÚ¯ Ùĩد", + "ĠпÑĢоÑĤив оп", + "ãģ£ ãģı", + "ãģ£ãģ ı", + "ãģ¨ãģª ãĤĬ", + "Ġë°ľ 견", + "i ctor", + "ic tor", + "ict or", + "ãĤ¸ ãĤª", + "ÎŁ Φ", + "ÎŁÎ ¦", + "ĠÑģклад Ñĸ", + "Ġob sahuje", + "Ġobsah uje", + "ĠUkr a", + "ĠUk ra", + "æķ ¦", + "ĠÏĩ αÏģα", + "ĠÏĩα Ïģα", + "ĠÑĢег Ñĥли", + "俺 ãģ¯", + "ัà¸ķ ว", + "éĦ ī", + "Ġب اÛĮ", + "Ġبا ÛĮ", + "éĬ ·", + "ĠN ẵng", + "л од", + "ло д", + "ا رÙģ", + "ار Ùģ", + "æ´ ģ", + "ĠëıĻ ìĿ¼", + "ÑĤив ного", + "âĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģ âĶģâĶģâĶģâĶģâĶģâĶģâĶģâĶģ", + "Ġ- :-", + "Ġ-: -", + "ì» ¬", + "ĠÑĪ аг", + "ìłĦ ìŀIJ", + "çļĦ äºĭæĥħ", + "çļĦäºĭ æĥħ", + "ĠÑĢег Ñĸ", + "िय ल", + "ĠÐĿ аз", + "ĠÐĿа з", + "ĠÐĻ ого", + "ĠÐł ом", + "ĠÃĸr neÄŁin", + "Ġп ÑĢеÑģ", + "ĠпÑĢ еÑģ", + "ĠпÑĢе Ñģ", + "u luÄŁu", + "ulu ÄŁu", + "uluÄŁ u", + "Ġза дов", + "Ġзад ов", + "ÅĻ eh", + "ÅĻe h", + "æ¯ķ ä¸ļ", + "Ġth áºŃp", + "ëĤ ¸", + "Ġdlou hodob", + "Ġdlouho dob", + "дÑĸ лÑĥ", + "дÑĸл Ñĥ", + "a lat", + "al at", + "ala t", + "ä» °", + "о ком", + "ок ом", + "око м", + "ĠÑĦ ÑĸлÑĮ", + "ĠÑĦÑĸл ÑĮ", + "ĠNg ân", + "Ġ ترÙĥ", + "Ġت رÙĥ", + "Ġتر Ùĥ", + "ĠÑĤ Ñī", + "ر ÙĪد", + "رÙĪ د", + "ç uk", + "çu k", + "ra nÃŃ", + "ran ÃŃ", + "Ġdo laÅŁ", + "Ġdol aÅŁ", + "ĠQ uang", + "ĠQu ang", + "ĠpÅĻed pok", + "Ġnám ÄĽstÃŃ", + "ой Ñĩив", + "çĭ Ģ", + "Ġб изнеÑģ", + "ãģŁ ãģı", + "ĠìĿ¸ ì²ľ", + "о ÑĢо", + "оÑĢ о", + "ĠKü rt", + "ĠKür t", + "ê·¸ 룬", + "ÑĨ аÑĤÑĮ", + "ÑĨа ÑĤÑĮ", + "ĠB ên", + "Ġ acı", + "Ġa cı", + "Ġac ı", + "Ú© Ø´", + "ï¼Ī å¹³æĪIJ", + "Ġ èģĶ", + "Ġèģ Ķ", + ") ãĢģ", + "d iler", + "di ler", + "Ñĩ иÑĤÑĮ", + "ÑĩиÑĤ ÑĮ", + "Ñĩи ÑĤÑĮ", + "Ư á»", + "éĻ ¶", + "il eceÄŁini", + "ilece ÄŁini", + "ileceÄŁi ni", + "Ġv Å¡em", + "ĠvÅ¡ em", + "ĠvÅ¡e m", + "å¼Ģ å¥ĸ", + "è§Ħ 模", + "ul muÅŁ", + "Ġ åĪĺ", + "Ġå Īĺ", + "ĠåĪ ĺ", + "е о", + "еР¾", + "ĠпеÑĢев ÑĸÑĢ", + "åĪĨ åĪ«", + "Ġjed ná", + "Ġjedn á", + "li ÄŁe", + "liÄŁ e", + "ĠرÙħ ضاÙĨ", + "ık lı", + "ıkl ı", + "Ùĩ ÙĢ", + "éĩį çĤ¹", + "Ñĩ иваеÑĤÑģÑı", + "Ñĩи ваеÑĤÑģÑı", + "Ñĩив аеÑĤÑģÑı", + "Ñĩива еÑĤÑģÑı", + "ë¡ľ ìĦľ", + "ÏĦ εÏģο", + "ÏĦε Ïģο", + "ÏĦεÏģ ο", + "åľ° ä¸ĭ", + "д наннÑı", + "дн аннÑı", + "Ġng ược", + "ॠª", + "ĠÎij λ", + "Ġa lacak", + "Ġal acak", + "Ġ à¹Ģà¸ĩ", + "Ġà¹Ģ à¸ĩ", + "Ġà¹Ģภĩ", + "اÛĮ ÙĨد", + "اÛĮÙĨ د", + "Ġh Ãłi", + "ÑĢо из", + "ĠЧ и", + "Ġ ÑıÑģ", + "ĠÑı Ñģ", + "خر ÛĮد", + "Ġhu deb", + "Ġhud eb", + "åľ §", + "Ġ ìĦ¼", + "ĠìĦ ¼", + "åĶ¯ ä¸Ģ", + "Ġ вÑĸлÑĮ", + "Ġв ÑĸлÑĮ", + "ĠвÑĸ лÑĮ", + "ĠباÙĦ اتر", + "ĠباÙĦا تر", + "à¸Ńà¸ģ าส", + "Ġ Tôi", + "ĠT ôi", + "ม à¸Ĥ", + "o mor", + "om or", + "omo r", + "ĠO lomou", + "Ġx ong", + "Ġxo ng", + "Ġdomác ÃŃ", + "Ġ اختÛĮ", + "Ġاخ تÛĮ", + "Ġاخت ÛĮ", + "ĠÑĤеÑħ нÑĸÑĩ", + "ĠÑĤеÑħнÑĸ Ñĩ", + "ĠiÅŁ te", + "à¥Į द", + "Ġнад еж", + "Ø®ÛĮ ص", + "åĬª åĬĽ", + "ĠتجÙĩ ÛĮزات", + "Ġv ole", + "Ġvo le", + "Ġvol e", + "k inci", + "kin ci", + "Ġhes ab", + "ĠÑģ еÑģÑĤ", + "Ú© ا", + "ÑĤеÑĢ н", + "ร รà¸Ħ", + "รร à¸Ħ", + "åıĤ èĢĥ", + "ĠÐļ аб", + "ĠÐļа б", + "ĠÄ° mpar", + "Ġnáv rh", + "Ġnávr h", + "åĴ¨ 询", + "à¸ĸ าม", + "Ġye rel", + "Ġyer el", + "Ġyere l", + "ĠÃĸ l", + "çĮ Ľ", + "ĠاÙĦÙĪØ· ÙĨÙĬ", + "Ġ ìĿ´ìĸ´", + "ĠìĿ´ ìĸ´", + "ิà¸Ĺย าศาสà¸ķร", + "ิà¸Ĺยา ศาสà¸ķร", + "ĠA ÅŁ", + "Ġзем лÑİ", + "ĠдомаÑĪ ниÑħ", + "ĠÑĥ веÑĢ", + "ĠÑĥв еÑĢ", + "A LI", + "AL I", + "г ан", + "га н", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "Ġdo stan", + "Ġdos tan", + "Ġdost an", + "ez pe", + "ãģĭ ãģĦ", + "ر ÙģتÙĩ", + "رÙģ تÙĩ", + "رÙģت Ùĩ", + "Ġм ÑĥÑģ", + "ĠмÑĥ Ñģ", + "à¹Į à¸Ł", + "è¦ º", + "али за", + "ализ а", + "ĠÑĥÑĩ ÑĢежд", + "ĠÚ© اÙĦ", + "Ġetk isi", + "Ġetki si", + "ä½Ĩ æĺ¯", + "Ġsou vis", + "ĠSav aÅŁÄ±", + "ĠSavaÅŁ ı", + "Ġب سبب", + "ÎŁ ι", + "ÎŁÎ ¹", + "è ļ", + "Ġ æ®", + "Ġæ ®", + "Ġìĺģ êµŃ", + "ا سÛĮÙĪÙĨ", + "اسÛĮ ÙĪÙĨ", + "ĠاÙĦات ØŃاد", + "Ġ глÑı", + "Ġг лÑı", + "à¹ĩà¸ģ à¸ĭ", + "Ġج ÙĪÙĨ", + "ĠجÙĪ ÙĨ", + "ĠاÙĦرسÙħ ÙĬ", + "Âł G", + "ĠÑĤо бÑĸ", + "ĠÑĤоб Ñĸ", + " ĩ", + "Ġ ëĮĢíĸī", + "ĠëĮĢ íĸī", + "çĬ¶ æħĭ", + "Ġê·¸ ëĥ¥", + "Ġи мп", + "Ġим п", + "ĠتÙĨظ ÛĮÙħ", + "ÙĦ اÛĮÙĨ", + "ÙĦا ÛĮÙĨ", + "ÑģÑĤв еннÑĭм", + "ÑģÑĤвен нÑĭм", + "о пол", + "оп ол", + "ر ÙĪج", + "رÙĪ ج", + "Ġ à¸ĩ", + "Ġภĩ", + "Ġ çĤº", + "ĠçĤ º", + "ĠUlus lararası", + "à¥Į à¤Ĥ", + "ãĢģ ãģĿãģĨ", + "Ġس ادÙĩ", + "ÎŃ Î±ÏĤ", + "ÎŃα ÏĤ", + "Ġà¤Ĩ ल", + "- ÑĦ", + "ĠÎłÎ¿Î» ι", + "ĠÎłÎ¿ λι", + "Ġно ÑıбÑĢÑı", + "ĠноÑı бÑĢÑı", + "ÙĪ ÙĦÙĬ", + "ÙĪÙĦ ÙĬ", + "æĽľ æĹ¥", + "æĮģ ç»Ń", + "Ġê¼ Ń", + "ece ÄŁiz", + "eceÄŁi z", + "ĠÛĮ اÙģت", + "ĠÛĮا Ùģت", + "Ġ åı¸", + "Ġåı ¸", + "ाà¤Ĺ त", + "Ġ æķħ", + "Ġæķ ħ", + "Ġал леÑĢг", + "Ġt uz", + "Ġtu z", + "еÑĢ ÑĤи", + "еÑĢÑĤ и", + "Ġth ầu", + "ãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ĠãĢĢ", + "- à¤ħ", + "Ġим мÑĥ", + "ÑĢ ай", + "ÑĢаР¹", + "ÑĢа й", + "主 義", + "ĠbaÅŁ lar", + "Ġä¸Ĭ 涨", + "ع ا", + "ĠÎĻ Ïī", + "ียà¸ĩ à¹ĥหม", + "ĠاÙĦÙħد ÙĬÙĨØ©", + "Ñģ ÑĮко", + "ÑģÑĮ ко", + "ÑģÑĮк о", + "ĠتارÛĮØ® ÛĮ", + "at ÃŃm", + "âĢļ Ø·", + "Ø¢ خر", + "ĠëĦ £", + "ĠÙĨÙħ اÛĮد", + "ĠÙĨÙħاÛĮ د", + "ãģķãĤĵ ãģĮ", + "Ġb ò", + "Ġ à¸ķาม", + "Ġà¸ķ าม", + "ë³´ ìķĺëĭ¤", + "а ÑĤÑĸв", + "аÑĤ Ñĸв", + "аÑĤÑĸ в", + "ĠÑĦ ил", + "Ġkısm ı", + "iá»ĩ ng", + "iá»ĩn g", + "Ġay dın", + "éģķ ãģĦ", + "е ви", + "ев и", + "Ġ å¾®", + "Ġå¾ ®", + "( íģ¬ê¸°", + "Ġ Ú¯ÛĮر", + "ĠÚ¯ ÛĮر", + "ĠÚ¯ÛĮ ر", + "ìķĦ ìĦľ", + "Ġδη μιοÏħÏģγ", + "ãģ«ãģĬ ãģĦãģ¦", + "ĠÃľ NÄ°", + "и ÑĤом", + "иÑĤ ом", + "ع ÙĦاÙħ", + "عÙĦ اÙħ", + "åIJİ çļĦ", + "Ġp lá", + "Ġpl á", + "à¸Ľà¸£à¸° à¹Ĥย", + "ç¢ İ", + "Ġ éĺ²", + "Ġéĺ ²", + "ëĬ Ķëĭ¤", + "ëĬĶ ëĭ¤", + "Ġ æĹ¥æľŁ", + "ĠæĹ¥ æľŁ", + "Ġgeç erli", + "л аÑĤÑĭ", + "ла ÑĤÑĭ", + "лаÑĤ Ñĭ", + "Ġmutlak a", + "ÙĪ غ", + "à¹Ģ ฮ", + "à¹Ģภ®", + "Ġï» £", + "e deki", + "ed eki", + "ede ki", + "à¹Į à¹Ģà¸Ļ", + "Ġнайб ÑĸлÑĮÑĪ", + "ĠнайбÑĸлÑĮ ÑĪ", + "ï¼ Ĭ", + "Ġ à¹Ĥรà¸ĩ", + "Ġà¹Ĥ รà¸ĩ", + "Ġfot bal", + "Ġ éĢģ", + "ĠéĢ ģ", + "âĢĮاÙĦ ÙħÙĦ", + "Ïīμά ÏĦιο", + "Ġú kol", + "åįļ 士", + "d ub", + "du b", + "ı lıģ", + "ılı ÄŁ", + "ıl ıģ", + "ëĵľ 를", + "çĭ IJ", + "α λλ", + "αλ λ", + "æŃ» 亡", + "ĠпÑĢед поÑĩ", + "çµ µ", + "Ġм ÑĥзÑĭ", + "ĠмÑĥ зÑĭ", + "ĠмÑĥз Ñĭ", + "еÑĢÑĤ в", + "ĠÙĥ ÙĨد", + "ĠÙĥÙĨ د", + "Ġu lož", + "Ġul ož", + "ÎŁÎ¥ ÎĽ", + "g ili", + "gi li", + "gil i", + "üs tü", + "üst ü", + "н ки", + "ĠÙĤ ÙĪاÙĨ", + "ι ακ", + "ια κ", + "ĠÅŁ er", + "ĠкиÑģ л", + "Ġки Ñģл", + "Ùģ ضÙĦ", + "ĠÐIJ ÑĦ", + "γ εν", + "γε ν", + "Ġdo stal", + "Ġdos tal", + "Ġdost al", + "ĠsaÄŁ lıklı", + "ĠsaÄŁlık lı", + "家 æĹı", + "ÄIJ T", + "е ÑĢин", + "еÑĢ ин", + "еÑĢи н", + "ĠìĿ´ëŁ¬ íķľ", + "Ġdüny ada", + "Ġdünya da", + "Ġnh ắc", + "Âł ÂłĊ", + "³³ Ċ", + "ν ηÏĥη", + "νη Ïĥη", + "γÏģα μμα", + "Ġtak son", + "ĠTürk çe", + "ĠÙģراÙĨ سÙĩ", + "天 åłĤ", + "æº ¶", + "Ġ oto", + "Ġo to", + "Ġot o", + "èµ µ", + "ch yb", + "chy b", + "Ġ å¾Ĵ", + "Ġå¾ Ĵ", + "ÏĦ Ïį", + "áh nout", + "à¥į पर", + "à¥įप र", + "Ġv las", + "Ġvl as", + "Ġíļ¨ ê³¼", + "Ġt hang", + "Ġth ang", + "Ġthan g", + "Ġtha ng", + "Ġol masına", + "Ġolm asına", + "Ġolması na", + "ĠпоÑĢÑĥÑĪ еннÑı", + "Ġqu ỹ", + "ĠíĿ IJ", + "ĠìĪ ¨", + "Ġ ë²Ī째", + "Ġë²Ī 째", + "ẹ n", + "Ġз год", + "Ġзг од", + "Ġ تز", + "Ġت ز", + "Ġاخ تص", + "Ġاخت ص", + "ĠзÑĥÑģÑĤ ÑĢÑĸ", + "Ġt ặng", + "ῶ ν", + "Ġ ì½ľ", + "Ġì½ ľ", + "ов аниÑħ", + "ова ниÑħ", + "овани Ñħ", + "ован иÑħ", + "âĢĮ شد", + "âĢĮØ´ د", + "Ġa raya", + "Ġar aya", + "Ġara ya", + "Ġaray a", + "r ové", + "ro vé", + "rov é", + "Ġاخ تÙĦ", + "Ġاخت ÙĦ", + "ли вий", + "лив ий", + "Ġات ØŃاد", + "Ġak ÅŁam", + "ĠÚ©ÙĦ اس", + "ãĤ¢ ãĥĥãĥĹ", + "Ġz ih", + "Ġzi h", + "å ĩĮ", + "åĩ Į", + "å±± å¸Ĥ", + "Ġçev res", + "Ġçevr es", + "Ġçevre s", + "Ġог ÑĢом", + "ĠØ¢ دÙħ", + "ĠtÄĽ lo", + "ĠtÄĽl o", + "ï¼Į æľ¬", + "ĠÚĺاÙĨ ÙĪÛĮÙĩ", + "Ġkr aje", + "Ġkra je", + "Ġkraj e", + "μ ία", + "μί α", + "èħ ¿", + "âĢŀ To", + "決 å®ļ", + "ì ĩ", + "Ġ éĴ", + "Ġé Ĵ", + "ĠΣ ÏĦα", + "ĠجÙħ ÙĩÙĪر", + "ĠGen ç", + "r ám", + "rá m", + "ĠÐł ез", + "ĠÐłÐµ з", + "Ġvyt vá", + "ĠпÑĢоизвод ÑģÑĤва", + "ĠÙħ Ø°Ùĩ", + "ĠÙħØ° Ùĩ", + "Ġihtiy ac", + "ãĤ¯ ãĤ»", + "Ġn êu", + "å¾ ³", + "Ġ ëĵĿ", + "Ġëĵ Ŀ", + "н аÑĩе", + "на Ñĩе", + "наÑĩ е", + "ĠÏĥÏħ μμε", + "ÏĨ Ïīν", + "в авÑģÑı", + "ва вÑģÑı", + "вав ÑģÑı", + "Ġви ÑĤами", + "ĠвиÑĤ ами", + "Ìģ t", + "Ġfinan ÄįnÃŃ", + "åıĬ åħ¶", + "âĢ ħ", + "çĭ ¼", + "ัà¸ļ à¸ķ", + "ãģĽ ãĤĭ", + "ÎĻÎļ ÎŁ", + "λ λι", + "λλ ι", + "ÑĤ оÑİ", + "ÑĤо Ñİ", + "ا عÙĬØ©", + "اع ÙĬØ©", + "اعÙĬ Ø©", + "vÃŃ ce", + "vÃŃc e", + "о нÑĸв", + "он Ñĸв", + "онÑĸ в", + "ì£ Ħ", + "å» ł", + "ĠØ´ÙĬ Ø¡", + "ĠТ ем", + "ĠТе м", + "Ġاب زار", + "ĠTH PT", + "γ γÏģαÏĨ", + "ĠëĮĢ íķ´ìĦľ", + "ĠëĮĢíķ´ ìĦľ", + "ĠPh ạm", + "ÑĨион ной", + "| /", + "Ġ ãĤ¸ãĥ£", + "ĠãĤ¸ ãĥ£", + "ÑĮ ÑİÑĤ", + "ÑĮÑİ ÑĤ", + "Ñĥ зÑĭ", + "Ñĥз Ñĭ", + "ĠÙħ اد", + "ĠÙħا د", + "ĠmÄĽ ly", + "ĠmÄĽl y", + "Ġ çĪ±", + "ĠçĪ ±", + "Ġr ád", + "Ġrá d", + "à¸Ħว à¸ļà¸Ħ", + "à¥Ī ?", + "Ġl idi", + "Ġli di", + "Ġlid i", + "m amız", + "mam ız", + "Ġ à¹ģà¸ģ", + "Ġà¹ģ à¸ģ", + "ãĤ¯ ãĤ·ãĥ§ãĥ³", + "à¸Ńำ à¸Ļวย", + "es át", + "Ġv iêm", + "Ġvi êm", + "è¡Į åĬ¨", + "มาà¸ģ à¸ģว", + "ĠØ®ÙĪ اب", + "Ġser best", + "ÅĻÃŃ z", + "ĠíĺĦ ëĮĢ", + "ãĢĮ ãģĿãģĨ", + "çĤ ¸", + "om ik", + "omi k", + "ĠÄ° ran", + "Ġer iÅŁ", + "ĠÑģ ела", + "ĠÑģел а", + "Ġار زÛĮ", + "Ġارز ÛĮ", + "ãĥĪ ãĥª", + "ĠB ÄĽ", + "е кÑĥ", + "ек Ñĥ", + "Ч ÑĤобÑĭ", + "ЧÑĤо бÑĭ", + "Ġanlam da", + "Îij Îĺ", + "ĠLINE AR", + "ĠLIN EAR", + "æľī çĤ¹", + "ÑĤ аÑĢ", + "ÑĤа ÑĢ", + "it ler", + "itle r", + "Ġn ÃŃž", + "ĠnÃŃ Å¾", + "ĠС ÑģÑĭлки", + "å ¶", + "Ġв пол", + "Ġвп ол", + "ĠدÙĤÛĮ ÙĤÙĩ", + "ĠدÙĤÛĮÙĤ Ùĩ", + "Ġ ä½ĵ", + "ر Ùī", + "ëĶ °", + "Ġà¤ķ व", + "Ġж иÑĢ", + "æij Ĩ", + "Ġì¤ij ìĭ¬", + "Ġк Ñĥб", + "ĠкÑĥ б", + "Ġz lep", + "ĠÑĢÑĭ б", + "é³ ´", + "à¹ģà¸ľ à¸Ļ", + "Ġ íĢ", + "Ġí Ģ", + "ĠÐĿ еÑĤ", + "ĠÐĿе ÑĤ", + "ž itÄĽ", + "žit ÄĽ", + "ži tÄĽ", + "Ġb Äĥng", + "ĠH ava", + "ĠHa va", + "ĠHav a", + "Ġ모 ëį¸", + "ĠH ãy", + "ĠìĿ´ ê²ĥ", + "Ġìĥģ ìĦ¸", + "me miÅŁ", + "mem iÅŁ", + "ĠθÎŃ Ïĥη", + "ण न", + "ĠskuteÄį nÄĽ", + "ĠTarih i", + "Ġtext u", + "Ġtex tu", + "ï¼Į éĢĻ", + "ĠاÛĮÙĨتر ÙĨتÛĮ", + "ĠÙ¾ اد", + "Ġپا د", + "ิà¸Ļ à¸ģาร", + "ĠNg á»įc", + "ĠÑĢоб иÑĤи", + "íĸĪ ê³ł", + "Ġम ण", + "ÐĽ Ðĺ", + "Ġпо ÑĤеÑĢ", + "ĠпоÑĤ еÑĢ", + "Ñģ ом", + "Ñģо м", + "ĠاÙĪ ÙĦÛĮÙĩ", + "ĠاÙĪÙĦ ÛĮÙĩ", + "éĽ ij", + "ĠGi á", + "Ġk anal", + "Ġkan al", + "Ġka nal", + "Ġavant aj", + "Ġavan taj", + "Ġr yb", + "Ġry b", + "Ø® تÙĩ", + "خت Ùĩ", + "ĠÙĪ رÙĪد", + "ĠÙĪر ÙĪد", + "ÐĴ ÑĤ", + "Ïī Ïĥε", + "기 ë¡ľ", + "ĠÐĽ Ñĸ", + "Ġt ảng", + "Ġtả ng", + "Ġص ÙĦÙī", + "ĠÑĥ лÑĭ", + "ĠÑĥл Ñĭ", + "Ġcu á»ijn", + "ĠÐIJ нг", + "ĠÐIJн г", + "Ġد اÙĪ", + "ĠÑĪлÑıÑħ ом", + "ĠÄįlovÄĽk a", + "ĠÄįlovÄĽ ka", + "d ete", + "de te", + "det e", + "ÑĬ ем", + "à¹Į à¹ĥà¸Ļ", + "à¤ķ न", + "åĪ ¤æĸŃ", + "åĪ¤ æĸŃ", + "ĸ ìĹIJ", + "ÏĦ ÏīÏĥη", + "ÏĦÏī Ïĥη", + "ĠÙģÙĨ اÙĪرÛĮ", + "ĠyaÅŁ ında", + "ĠÏĥÏĩ ÎŃ", + "Ġ yı", + "Ġy ı", + "Ġp ÅĻen", + "ĠpÅĻ en", + "ĠpÅĻe n", + "ĠÑĦоÑĢм ÑĥваннÑı", + "ĠÑĦоÑĢмÑĥ ваннÑı", + "ü mÃ¼ÅŁ", + "üm Ã¼ÅŁ", + "ümü ÅŁ", + "Ġ δο", + "Ġδ ο", + "ımız ın", + "ımızı n", + "Ġ é¢Ħ", + "Ġé¢ Ħ", + "оÑģÑĤ ÑĮÑİ", + "оÑģÑĤÑĮ Ñİ", + "ĠоÑĤкÑĢÑĭ ÑĤ", + "Ġأغ سطس", + "ĠA sp", + "ĠAs p", + "ĠÑĥ зн", + "ĠÑĥз н", + "ĠÙĪ است", + "ĠÙĪا ست", + "ĠÙĪاس ت", + "e lerle", + "eler le", + "èķ ī", + "Ġت Ú©ÙĨ", + "Ġتک ÙĨ", + "Ñĥ мÑĥ", + "Ñĥм Ñĥ", + "à¹Į à¸ĭ", + "ाद न", + "ĠâĢĭ âĢĭâĢĭ", + "ĠâĢĭâĢĭ âĢĭ", + "Ġa lıyor", + "Ġal ıyor", + "Ġî ¡", + "Ùħ دة", + "Ùħد Ø©", + "Ġ Ïĥει", + "ĠÏĥ ει", + "ĠÏĥε ι", + "Ġ è¿Ļ", + "Ġè¿ Ļ", + "ĠÅŀ ehir", + "ен ÑĤами", + "енÑĤ ами", + "енÑĤа ми", + "ãĤ¿ ãĥ«", + "ห าย", + "หา ย", + "ай ÑĤ", + "Ġh arc", + "Ġhar c", + "Ġha rc", + "ãĢĤ ãģĬ", + "Ġتأ Ø«ÛĮر", + "า à¸Ĭà¸Ļ", + "าà¸Ĭ à¸Ļ", + "Ġth áºŃm", + "Ġ æ¿", + "Ġæ ¿", + "Ġm Å©i", + "Ġprv nÃŃm", + "ĠprvnÃŃ m", + "Ġбаг аÑĤÑĮ", + "ĠбагаÑĤ ÑĮ", + "ãģķãĤī ãģ«", + "b iên", + "bi ên", + "åºĶ å½ĵ", + "ìĿ´ ë²Ħ", + "Ġpou žÃŃt", + "ĠpoužÃŃ t", + "Ġokam ž", + "e sin", + "es in", + "esi n", + "v ÄĽl", + "vÄĽ l", + "Ġ ضÙĪ", + "Ġض ÙĪ", + "è» Ł", + "- з", + "à¥Ī त", + "è¨Ī ç®Ĺ", + "r abilir", + "ra bilir", + "rab ilir", + "ĠÐłÐ¾Ñģ ÑĸÑĹ", + "Ġpla tÃŃ", + "Ġplat ÃŃ", + "Ġdosp ÄĽl", + "Ġر ضا", + "Ġرض ا", + "Ġn ového", + "Ġnov ého", + "Ġnové ho", + "Ġна ÑĨионалÑĮ", + "ĠÐIJ б", + "ãģĮ ãģĤãģ£ãģŁ", + "Ġ ë¹Ī", + "Ġë¹ Ī", + "âĢĮ Ùħ", + "å±ŀ äºİ", + "Ġt ane", + "Ġta ne", + "Ġtan e", + "ÙĬ اÙĩ", + "ÙĬا Ùĩ", + "Ġ βο", + "Ġβ ο", + "Ġ ëĬ¥", + "ĠëĬ ¥", + "ãĥĩãĤ£ ãĥ¼ãĤ¹", + "Ġ Ø°Ùĥر", + "ĠØ° Ùĥر", + "Ġobvyk le", + "Ġbir inci", + "ĠاÙĦ زر", + "ĠاÙĦز ر", + "ìĿ´ ë¹Ħ", + "ĠØ¥ د", + "ĠE kon", + "ĠEk on", + "ÐŁ ол", + "ÐŁÐ¾ л", + "ĠвеÑĢ оÑıÑĤ", + "Ġyarar lan", + "Ġа ÑĢом", + "ĠаÑĢ ом", + "Ġ éĦ", + "Ġé Ħ", + "Ġ iddi", + "Ġid di", + "i Äįka", + "iÄį ka", + "struk ce", + "mÃ¼ÅŁ tür", + "Ïħ ÏĦÏĮ", + "ë¡ ±", + "Ġal maktadır", + "Ġalmak tadır", + "ени Ñıми", + "ениÑı ми", + "ียà¸Ļ ร", + "à¹ĩ à¸Ļว", + "à¹ĩà¸Ļ ว", + "и кÑĥ", + "ик Ñĥ", + "е нка", + "ен ка", + "âĢĻ yi", + "âĢĻy i", + "Ġpo hod", + "Ġpoh od", + "Ġ زر", + "Ġز ر", + "Ġx ấu", + "Ġ à¸łà¸²à¸©", + "Ġà¸ł าษ", + "Âł Ðŀ", + "Ġ δικ", + "Ġδ ικ", + "Ġδι κ", + "Ġназ ива", + "åıª èĥ½", + "大 éĩı", + "ĠÄij ế", + "Ġ 第äºĮ", + "Ġ第 äºĮ", + "ĠkiÅŁ ilerin", + "ĠkiÅŁi lerin", + "ĠkiÅŁiler in", + "Ġdob ré", + "Ġdobr é", + "é© ¾", + "Ġdůležit é", + "ë¡ ¤", + "μÎŃ Î½Î¿Ïħ", + "μÎŃν οÏħ", + "μÎŃνο Ïħ", + "Ġtr ú", + "Ġbiç im", + "Ġ ÐĿÐIJ", + "ĠÐĿ ÐIJ", + "Ġ å¾Į", + "Ġå¾ Į", + "Ġdu yg", + "Ġduy g", + "åŀ Ĥ", + "ÐĨ ÐĨ", + "Ġet meye", + "Ġetm eye", + "Ġetme ye", + "ĠÙĦب اس", + "Ġд вÑĸ", + "Ġдв Ñĸ", + "Ġ 긴", + "Ġê¸ ´", + "ÑĨ Ñĸйно", + "ÑĨÑĸй но", + "κ ÏĦή", + "ï½ Ŀ", + "ĠÑĦевÑĢа лÑı", + "å¯ «", + "Ġ 겨", + "Ġê² ¨", + "Ġyıl larda", + "Ġyıllar da", + "Ġз Ñĥп", + "Ġobchod nÃŃ", + "Ġاض اÙģÙĩ", + "в еÑĢж", + "веÑĢ ж", + "Ġ æłĩ", + "Ġæł ĩ", + "ج اج", + "جا ج", + "Ġر ÙĪسÛĮ", + "ĠرÙĪ سÛĮ", + "Ġstand art", + "Ġstan dart", + "é ru", + "ér u", + ") ìĿĦ", + "д екÑģ", + "де кÑģ", + "Ġ âĪļ", + "ĠâĪ ļ", + "ĠÄ°ngiliz ce", + "èĬ Ŀ", + "身 ä¸Ĭ", + "ØŁ ØŁ", + "Ġm ẽ", + "Îij ÎĶ", + "енÑģ ив", + "âĢĻ ta", + "âĢĻt a", + "à¹ī าà¸ģ", + "à¹īา à¸ģ", + "ÎŁÎĽ ÎŁÎĵ", + "ä»ĺ ãģij", + "Ġs Ãłng", + "ĠsÃłn g", + "Ġह à¤Ł", + "ÑĭÑĪ лен", + "ĠØ® طر", + "Ġخط ر", + "Ġнай ÑĤи", + "缸 ä¿¡", + "Ïī δ", + "ठĶ", + "Ġdo pad", + "Ġdop ad", + "à¹Ħà¸Ł ล", + "æ ģµ", + "æģ µ", + "í Ĥ¬", + "íĤ ¬", + "Ä±ÅŁ ma", + "ãģı ãĤĮãģŁ", + "ãģıãĤĮ ãģŁ", + "Ġnap rost", + "ĠÑģоÑģÑĤав е", + "Ġ ÙĪسط", + "ĠÙĪ سط", + "ĠÙĪس Ø·", + "๠ķ", + "éĸĭ çĻº", + "ĠдеÑĢ ева", + "ĠдеÑĢев а", + "- ÐĶ", + "à¸ĩ à¸Ĭ", + "ิà¸ķ ย", + "ĠاÙĦÙĤ اÙĨÙĪÙĨ", + "ãĤ¹ ãĤ«", + "l ÃŃž", + "lÃŃ Å¾", + "Ġан ализ", + "Ġproblém y", + "æĸĩ åѦ", + "çĹħ éĻ¢", + "Ñģ ед", + "Ñģе д", + "ï¼Į å°ı", + "Ġعش ÙĤ", + "ãģ° ãģĭãĤĬ", + "Ġع ÙĤد", + "ĠعÙĤ د", + "ØŃ ÙĬØ©", + "ØŃÙĬ Ø©", + "Ġë°Ķ ëŀįëĭĪëĭ¤", + "inc lu", + "incl u", + "Ġ ëĵľë¦½ëĭĪëĭ¤", + "Ġëĵľ 립ëĭĪëĭ¤", + "åį« çĶŁ", + "Ġвид Ñĥ", + "Ġви дÑĥ", + "ุ à¸ļาล", + "ุà¸ļ าล", + "ÑĢ ÑĥкÑĤ", + "ÑĢÑĥ кÑĤ", + "ÑĢÑĥк ÑĤ", + "ĠоÑģ вÑĸÑĤ", + "ĠоÑģвÑĸ ÑĤ", + "Ġvel ký", + "Ġvelk ý", + "Ġch tÄĽl", + "ĠchtÄĽ l", + "æīĵ å¼Ģ", + "Ġзакон одаÑĤелÑĮ", + "ан Ñģи", + "анÑģ и", + "ì¶ ĺ", + "ĠÙħر اج", + "åģľ æŃ¢", + "Ġво но", + "ìłķ ìĿ´", + "Ġroz sah", + "Ġrozs ah", + "Ġ æĻ´", + "ĠæĻ ´", + "Ġza jist", + "Ġzaj ist", + "Âł м", + "tı ģını", + "tıģ ını", + "Ġhizmet i", + ". Îij", + "ĠÙħعÙħÙĪÙĦ ا", + "Ġ ži", + "Ġž i", + "Ġg á»įn", + "èĮ Ĥ", + "Ġh uz", + "Ġhu z", + "ζ ει", + "ζε ι", + "à¥ī à¤Ł", + "Ġиз дел", + "ìŀ ĸ", + "ĠëĶ° 른", + "Ġk ia", + "Ġki a", + "Ġz nÄĽnÃŃ", + "Ġzn ÄĽnÃŃ", + "ĠоÑĢгани за", + "ĠоÑĢганиз а", + "از ات", + "Ġrež im", + "Ġв енÑĤи", + "b ách", + "Ġод номÑĥ", + "Ġодно мÑĥ", + "Ġодном Ñĥ", + "Ġkit ab", + "Ġki tab", + "Ġkita b", + "Ġfran couz", + "Ġfranc ouz", + "ĠØ£ ÙĦ", + "Ġس رÙĪ", + "Ġسر ÙĪ", + "Ùij ÙĦ", + "Ġ ман", + "Ġм ан", + "Ġма н", + "ë° į", + "Ġк Ñĥда", + "ĠкÑĥ да", + "Ùı س", + "ãĢĤ æѤ", + "ا شة", + "اش Ø©", + "à¸Ĥà¸Ńà¸ĩ à¸ľ", + "主 ä»»", + "ив ÑĪи", + "Ġà¸ģ รà¸ģ", + "Ġà¸ģร à¸ģ", + "ек Ñģи", + "екÑģ и", + "иÑĤ еÑĤ", + "иÑĤе ÑĤ", + "ĠØ£ ÙĦÙģ", + "ĠØ£ÙĦ Ùģ", + "а ними", + "ан ими", + "ани ми", + "ãĥļ ãĥ¼ãĤ¸", + "ĠпÑĢав ил", + "ĠпÑĢави л", + "åªĴ ä½ĵ", + "Ñİ Ñīее", + "ÑİÑī ее", + "ä¸Ģ 人", + "β ο", + "ìĭ ¸", + "о зна", + "оз на", + "å¤ī æĽ´", + "ĠÙħØ´ Ùĩد", + "æ³ķ 人", + "ĠBa kanı", + "ĠBak anı", + "ĠBakan ı", + "ĠÑħоÑĩ а", + "Ġα ξ", + "Ġver ilm", + "Ġveri lm", + "Ġk onus", + "Ġkon us", + "Ġkonu s", + "με νη", + "μεν η", + "Ġ 馬", + "Ġé ¦¬", + "Ġé¦ ¬", + "Ġìĭ¤ ìłľ", + "Ġjed no", + "Ġjedn o", + "Ġб аб", + "Ġба б", + "åĥ į", + "æĺ¯ ä¸Ģ个", + "æĺ¯ä¸Ģ 个", + "- е", + "ĠpÅĻek vap", + "à¸Ń à¸ŀ", + "ĠY ol", + "ĠYo l", + "ĠÑĥÑģÑĤан авлива", + "ê² ¼", + "Ġ 件", + "اÙĦ Ø´", + "Ġоб ÑĥÑĩ", + "åĺ Ľ", + "ĠÑħоÑĩ Ñĥ", + "ĠÐķ в", + "ÑĦ оÑĢÑĤ", + "ÑĦоÑĢ ÑĤ", + "Ġर न", + "âĢŀ V", + "èľ ľ", + "Ġd oma", + "Ġdo ma", + "Ġdom a", + "æĶ¯ æı´", + "Ġ اخت", + "Ġا خت", + "Ġاخ ت", + "å¾ ª", + "à¥Ĥ à¤ļन", + "à¥Ĥà¤ļ न", + "ा हन", + "ाह न", + "Ġ å¤ı", + "Ġå¤ ı", + "ĠاÙĦØ£ Ùħر", + "ĠاÙĦØ£Ùħ ر", + "ĠбеÑĢем енноÑģÑĤи", + "ĠTh á»±c", + "é£İ éĻ©", + "Ġül kemiz", + "Ġülk emiz", + "çķª åı·", + "ÑģÑĤ ÑĢе", + "ÑģÑĤÑĢ е", + "ÑĪ ло", + "ĠصاØŃ Ø¨", + "ι νε", + "ιν ε", + "ĠK ıs", + "ĠKı s", + "ĠPr ahy", + "ĠPra hy", + "æ¹ ¿", + "Ġv ým", + "Ġvý m", + "çĽ Ĵ", + "ÎŁ ÎĶ", + "ÎŁÎ Ķ", + "ãģł ãģª", + "ĠpÅĻÃŃ ležit", + "Ġìĸ¸ ìłľ", + "ĠÑĪвид ко", + "Ġsitu aci", + "åħĥ ç´ł", + "Ä°T ESÄ°", + "ĠV ak", + "ĠVa k", + "Ġner edeyse", + "i iii", + "ii ii", + "iii i", + "ÑĢа зд", + "ÑĢаз д", + "Ġп олиÑĤ", + "Ġпо лиÑĤ", + "Ġпол иÑĤ", + "Ġполи ÑĤ", + "Ġп огод", + "Ġпо год", + "Ġпог од", + "ĠпÑĢоÑĨеÑģ Ñģе", + "ĠпÑĢоÑĨеÑģÑģ е", + "Ġмен ÑĪе", + "äºĮ 人", + "ĠÙħÙĪ اط", + "Ġp ÅĻik", + "ĠpÅĻ ik", + "ĠpÅĻi k", + "è· ¡", + "Ġs erg", + "Ġse rg", + "Ġser g", + "ĠÑĢаÑģ ÑģÑĤоÑı", + "и Ñĩно", + "иÑĩ но", + "ĠÎĶ ÎĹÎľ", + "¨ Ø·", + "ص بØŃ", + "صب ØŃ", + "สะ à¸Ķวà¸ģ", + "د رÛĮ", + "در ÛĮ", + "k ům", + "ků m", + "ç§ģ ãģ¯", + "Ġt vor", + "Ġtv or", + "à¥įव व", + "Ġp ÅĻiv", + "ĠpÅĻ iv", + "ĠpÅĻi v", + "Ġ íı´", + "Ġíı ´", + "Ġst átu", + "Ġstát u", + "Ġed ilmiÅŁtir", + "Ġedilm iÅŁtir", + "Ġedil miÅŁtir", + "ĠedilmiÅŁ tir", + "ØŃ Ùħ", + "Ġб ÑĥÑħ", + "ĠбÑĥ Ñħ", + "สำ à¹Ģร", + "ĠتÙĪ ضÛĮ", + "ãģĿãĤĮ ãģ¯", + "Ġà¤ħव ध", + "é ŀĭ", + "éŀ ĭ", + "âĤ¬ Ċ", + "Ġ éº", + "Ġé º", + "ĠÄĮ es", + "Ġpop rvé", + "ï¼Į åĽł", + "Ġal mÄ±ÅŁ", + "Ġalm Ä±ÅŁ", + "l al", + "la l", + "ĠØ® ÙĪبÛĮ", + "ĠØ®ÙĪ بÛĮ", + "ĠØ®ÙĪب ÛĮ", + "Ġκ οÏģ", + "Ġκο Ïģ", + "ìļ´ ëıĻ", + "m ayın", + "may ın", + "mayı n", + "Ġak tif", + "Ġakt if", + "ĠاÙĨج ÙħÙĨ", + "ĠÑģ ÑĤак", + "ĠÑģÑĤ ак", + "ĠÑģÑĤа к", + "ĠÑģÑĤ аÑĢа", + "ĠÑģÑĤаÑĢ а", + "ĠÑģÑĤа ÑĢа", + "ÙĦ ÙģØ©", + "ÙĦÙģ Ø©", + "Ġparç ası", + "ĠкоÑĢп ÑĥÑģ", + "ãĢģ é«ĺ", + "! ..", + "!. .", + "ĠÎł ÎijÎĿ", + "ĠÙĩÙĨ ÙĪز", + "ion álnÃŃ", + "Ġprá vnÃŃ", + "Ġpráv nÃŃ", + " Ŀ", + "Ġت ÛĮر", + "ĠتÛĮ ر", + "Ġ åŁİ", + "ĠåŁ İ", + "Ġзг ад", + "Ġsaldır ı", + "æŁ¥çľĭ æijĺè¦ģ", + "é« ª", + "Ùģ صÙĦ", + "ãģĻ ãģ¹ãģ¦", + "е во", + "ев о", + "ê´Ģ리 ìŀIJ", + "Ġìĺ Ĩ", + "udic ots", + "ÙĪر ÙĨ", + "Ġcel kem", + "ãĤ¤ ãĤº", + "ìĬ¤ ê°Ģ", + "販 売", + "ĠíĮĮìĿ¼ 첨ë¶Ģ", + "ë ¢°", + "Ġe nergie", + "Ġenerg ie", + "Ġener gie", + "es idir", + "esi dir", + "Ġm iá»ĩng", + "éĻ ·", + "Ġг аÑĢа", + "ĠгаÑĢ а", + "Ġb iliyor", + "Ġbil iyor", + "çį² å¾Ĺ", + "еÑĤ еÑĢб", + "à¹Īา à¹Ģà¸Ľ", + "Ġμα ζί", + "Ġzprac ovánÃŃ", + "Ñģ м", + "Ġh ala", + "Ġha la", + "Ġhal a", + "Ġز ÙĪج", + "ĠвÑĸд нов", + "à¹Ģหม าะ", + "ĠÐłÐµÑģп Ñĥбли", + "åĩºåĵģ èĢħ", + "Ñī ини", + "Ñīи ни", + "Ñīин и", + "ัà¸Ļ à¹Ģà¸Ľ", + "Ġtý den", + "Ġtýd en", + "Ġب ÙĬت", + "ĠبÙĬ ت", + "Ñģ комÑĥ", + "Ñģк омÑĥ", + "Ñģком Ñĥ", + "Ñģко мÑĥ", + "ĠÙĩÙĪ اپÛĮÙħ", + "оÑģ нов", + "é¸ Ł", + "Ġsou krom", + "Ġfa iz", + "Ġdem ok", + "Ġdemo k", + "Ġkter ém", + "Ġkteré m", + "Ġëħ ¹", + "л аÑĩ", + "ла Ñĩ", + "ĠоÑĤвеÑĤ ÑģÑĤвен", + "Ġ ï¼¼:", + "Ġï¼¼ :", + "Ġ λο", + "Ġλ ο", + "ÄĮ esk", + "ê°Ģ ìļĶ", + "Ġ ãĥĬ", + "Ġãĥ Ĭ", + "Ġnhu áºŃn", + "ĠÑģ или", + "ĠÑģи ли", + "ĠÑģил и", + "ĠÐľ он", + "Ġç ap", + "Ġça p", + "ĠRow Box", + "Ġм аÑģÑĤ", + "ĠмаÑģ ÑĤ", + "Ġма ÑģÑĤ", + "ĠÐľ а", + "ĠдÑĢÑĥг о", + "ĠдÑĢÑĥ го", + "ĠØ£ Ø´", + "ë°© ìĨ¡", + "ĠпÑĸд пиÑģ", + "èĩ ¨", + "åī ©", + "Ġh iá»ĥn", + "Ġhi á»ĥn", + "ĠÙĤر ارد", + "ĠÙĤرار د", + "ist rat", + "istr at", + "istra t", + "ÐŁ Ñĸд", + "ÏĦε Ïģα", + "ÏĦεÏģ α", + "Ġpoz dÄĽ", + "ĠbaÅŁ ta", + "夫 人", + "л ини", + "ли ни", + "лин и", + "Ġка ÑĩеÑģÑĤва", + "ĠкаÑĩе ÑģÑĤва", + "Ġkur tul", + "Ġ ì¢Į", + "Ġì¢ Į", + "ãģ«ãģĬ ãģijãĤĭ", + "åľ° åįĢ", + "ĠÑĩа Ñģом", + "ĠÑĩаÑģ ом", + "ìµľ ê³ł", + "Ġn gang", + "Ġng ang", + "Ġnga ng", + "ا Ùĩد", + "اÙĩ د", + "ĠШ ев", + "ĠpÅĻ itom", + "ĠpÅĻi tom", + "Ġch ấm", + "ĠÐľ еÑģÑĤо", + "ĠÑģовеÑĢÑĪ енно", + "ÃŃ cÃŃ", + "ÃŃc ÃŃ", + "Ń å·ŀ", + "åĪĽ æĸ°", + "äºĶ æľĪ", + "Ġا عÙħاÙĦ", + "Ġاع ÙħاÙĦ", + "Ġвозмож ноÑģÑĤи", + "Ġвозможно ÑģÑĤи", + "ĠпÑĢод овж", + "n ÄĽt", + "nÄĽ t", + "ĠÐĿа пÑĢимеÑĢ", + "ĠاÙĦ دÙħ", + "ĠاÙĦد Ùħ", + "Ġ à¹ģà¸ļà¸ļ", + "Ġà¹ģ à¸ļà¸ļ", + "çĶŁ çļĦ", + "ĠÑħ аÑĢÑĩ", + "ĠSon uç", + "Ġrůzn é", + "Ġrůz né", + "Ġ اذ", + "Ġا Ø°", + "ĠØ§Ø °", + "à¸ķ à¸Ńà¸ļ", + "P ÅĻed", + "PÅĻ ed", + "ĠдеÑĢев Ñıн", + "ë´ IJ", + "ĠëĬIJ ëĤ", + "جÙħ ÙĬع", + "ĠBöyle ce", + "èµ ı", + "Ġب سÙĬ", + "Ġبس ÙĬ", + "ĠÃĩ aÄŁ", + "Ġت اÛĮ", + "Ġتا ÛĮ", + "Ġnej vyÅ¡Å¡ÃŃ", + "èĸ ©", + "Ïĩε δÏĮν", + "Ġëĵ± ìĿĺ", + "e yh", + "ey h", + "æĸĻ çIJĨ", + "ا تÙĩ", + "ات Ùĩ", + "æī «", + "Ġ å©", + "Ġå ©", + "ĠпÑĢи вед", + "ĠпÑĢив ед", + "æī ¶", + "Ġ 견", + "Ġê² ¬", + "Ġا ÙħÛĮر", + "ĠاÙħ ÛĮر", + "ाय ल", + "æ¡ ij", + "à¸Ļ à¹Ģà¸ķ", + "ила кÑĤи", + "家 ä¼Ļ", + "Ġbulun uyor", + "y sa", + "ys a", + " Ĩ", + "ĠB Ä°R", + "íĨ ¤", + "à¤Ĥà¤Ĺ à¤łà¤¨", + "ÎĶ εν", + "à¥Į à¤ķर", + "à¥Įà¤ķ र", + "éĸĵ ãģ«", + "Ġм об", + "Ġмо б", + "ĠMo rav", + "ĠMor av", + "è§Ħ åĪĴ", + "ĠÑģвÑĸÑĤ Ñĸ", + "ul ts", + "ult s", + "Ġze mÃŃ", + "Ġzem ÃŃ", + "Âł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł", + "ÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂłĠÂłĠÂł", + "ĠÐŁ оп", + "ĠÐŁÐ¾ п", + "ãģĤ ãģĴ", + "Ġpom oci", + "Ġpomoc i", + "ĠзмÑĸ ÑģÑĤ", + "Ġзм ÑĸÑģÑĤ", + "主 人", + "ĠS ı", + "ãĥĽ ãĥĨãĥ«", + "ĠÑĥва гÑĥ", + "å» ³", + "à¹Ģม à¸ķร", + "est li", + "Ġlo ạt", + "ãĤ¢ ãĥ¼", + "ĠÎĶ ε", + "Ġbun ları", + "Ġbunlar ı", + "Ġ çĤ¹åĩ»", + "ĠçĤ¹ åĩ»", + "Ġ BÃłi", + "ĠB Ãłi", + "ĠBÃł i", + "Ġ ä¸ĸ", + "Ġä¸ ĸ", + "Ġê³ł ê°ľë¥¼", + "ĠÐŃ ÑĤоÑĤ", + "ĠÐŃÑĤо ÑĤ", + "Ġmem nun", + "Ġ ।Ċ", + "Ġ। Ċ", + "ĠиÑģÑĤоÑĢ ии", + "Ġ ì°©", + "Ġì° ©", + "१ ९", + "१ॠ¯", + "ĠÐŀд нак", + "ĠÐŀдна к", + "Ġv ede", + "Ġve de", + "Ġved e", + "ÏĨ ÎŃÏģει", + "ÏĨÎŃ Ïģει", + "â b", + "çĬ¶ åĨµ", + "åįı è®®", + "Ġ ê°Ŀ", + "Ġê° Ŀ", + "е вид", + "ев ид", + "еви д", + "j mu", + "jm u", + "Ġколи ÑĩеÑģÑĤва", + "ĠколиÑĩ еÑģÑĤва", + "ĠколиÑĩе ÑģÑĤва", + "à Ľ", + "i Äįe", + "iÄį e", + "Ġfirm alar", + "Ġfir malar", + "Ġfirma lar", + "èĢ Ģ", + "к Ñĸн", + "кÑĸ н", + "ĠêµŃ 민", + "Ġ목 ë¡Ŀ", + "ĠÎļ αÏģ", + "ĠÎļα Ïģ", + "Ġhis sed", + "Ġhiss ed", + "ï¼ «", + "Ġ Tên", + "ĠT ên", + "ĠÑĤÑĭ ÑģÑıÑĩ", + "ØŃÙĬ ØŃ", + "Ġвпол не", + "ĠS ınıf", + "ĠSın ıf", + "Ġμ ην", + "Ġμη ν", + "Ġ íij¸", + "Ġí ij¸", + "ĠاÙĦ طبÙĬ", + "ĠاÙĦØ· بÙĬ", + "ĠاÙĦطب ÙĬ", + "ĠزÛĮ ب", + "Ġп Ñĥ", + "Ġp raž", + "Ġpr až", + "Ġpra ž", + "ìĹĨ ëĬĶ", + "θ ÏģÏī", + "Ġi çi", + "Ġiç i", + "Ġб Ñĸл", + "ĠбÑĸ л", + "Ðł Ñij", + "Ġì¶ķ 구", + "Ġl ạ", + "Ġ ãĥķãĤ¡", + "Ġãĥķ ãĤ¡", + "Ġ èĸ", + "Ġè ĸ", + "μα ÏĦο", + "éĩij å±ŀ", + "á li", + "ál i", + "ĠÙģ Ø£", + "ĠKar lov", + "ĠKarl ov", + "ĠZ áp", + "ĠZá p", + "ãĥª ãĥ³ãĤ°", + "ãĥªãĥ³ ãĤ°", + "ab ilmek", + "abil mek", + "ĠС и", + "Ġc ÃŃrk", + "ĠcÃŃ rk", + "Ġk á»ĭp", + "Ġà¤ij नल", + "ĠÙĪ ØŃدة", + "ĠÙĪØŃ Ø¯Ø©", + "ãĥĭ ãĥĥãĤ¯", + "Ġn Æ°á»Ľng", + "Ġа кÑĤÑĥ", + "Ġак ÑĤÑĥ", + "ĠакÑĤ Ñĥ", + "å¸Ŀ åĽ½", + "Ġn ázev", + "Ġnáz ev", + "ĠÑĢемон ÑĤ", + "ĠÑĢ инкÑĥ", + "ĠÏĢ άνÏī", + "ĠÏĢά νÏī", + "ÏĦ ικο", + "ÏĦικ ο", + "ÏĦι κο", + "ĠìĤ¼ ìĦ±", + "ĠÑģимпÑĤом Ñĭ", + "ĠÑĢа нÑĸÑĪе", + "ĠJ á", + "ĠÑģÑĩиÑĤа еÑĤÑģÑı", + "ĠÑģÑĩиÑĤ аеÑĤÑģÑı", + "Ġп оÑĢÑĸв", + "Ġпо ÑĢÑĸв", + "ĠпоÑĢ Ñĸв", + "ĠÐľ ал", + "ĠÐľÐ° л", + "éĿ¢ 积", + "ĠÙĦ غ", + "Ġج Ø´ÙĨ", + "Ġнед ели", + "Ġнедел и", + "Ġì¦Ŀ ê°Ģ", + "ãĨį ëıĻ", + "Ġl ượt", + "ĠÄIJ á»ĭnh", + "Ġ à¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļ", + "Ġà¸Ń à¸Ńà¸Ļà¹Ħลà¸Ļ", + "Ġyap arak", + "Ġyapar ak", + "ĠÄij ai", + "ĠÄija i", + "Ġо ÑĦиÑĨи", + "Ġε μÏĢ", + "ξ ειÏĤ", + "ξει ÏĤ", + "Ġкон ÑĦеÑĢен", + "Ġ arası", + "Ġa rası", + "Ġar ası", + "Ġaras ı", + "Ġara sı", + "à¸ķ า", + "Ġ ë´IJ", + "Ġë´ IJ", + "о вана", + "ов ана", + "ова на", + "ован а", + "ì§Ģ ê°Ģ", + "ĠV ám", + "ि à¤ľà¤¨", + "à¤¿à¤ľ न", + "Ġ ç¼ĸè¾ij", + "Ġç¼ĸ è¾ij", + "ζ ÏĮ", + "ĠÏĦ ÏģÏĮ", + "Ġücret siz", + "ĠکاÙħ ÙĦا", + "ĠکاÙħÙĦ ا", + ": ::/", + ":: :/", + "::: /", + "à¹Į ĊĊ", + "à¹ĮĊ Ċ", + "Ġéĸ¢ éĢ£", + "Ġ kara", + "Ġk ara", + "Ġka ra", + "Ġkar a", + "Ġбез пеки", + "ĠzmÄĽ ny", + "ĠzmÄĽn y", + "Ġê¿ Ī", + "v rd", + "vr d", + "li ÄŁine", + "liÄŁi ne", + "liÄŁ ine", + "liÄŁin e", + "ĠاÙĨتخاب ات", + "ĠдоÑģ вÑĸд", + "Ġkter ého", + "Ġkteré ho", + "ен ÑĤом", + "енÑĤ ом", + "ê³µ ë¶Ģ", + "ìł Ŀ", + "Ġë§Į 족", + "Ġ æij", + "Ġæ ij", + "åĩº åı£", + "建 è®®", + "о ÑĤÑı", + "оÑĤ Ñı", + "Ġ Òij", + "ĠÒ ij", + "íĶĦ ë¡ľ", + "Ġg ió", + "Ġgi ó", + "ãĤ· ãĤ§", + "Ġλ εÏĢ", + "íķĺ 볤", + "Ġyok sa", + "Ġist ih", + "ï¼ ¶", + "ĠاÙĦ عÙħ", + "ĠاÙĦع Ùħ", + "Ġکار گرد", + "à¹Ģà¸ŀ ราะ", + "Ġn ových", + "Ġnov ých", + "Ġnový ch", + "ĠÑģ на", + "Ġs ana", + "Ġsa na", + "Ġsan a", + "व त", + "Ä±ÅŁ man", + "Ä±ÅŁma n", + "åı¦ å¤ĸ", + "ì¶ľìŀ¥ ìĥµ", + "å© ¦", + "ĠкоÑĪ ÑĤÑĸв", + "ĠÙĪاÙĦ ÙĨ", + "Ġب اÙĦØ¥", + "ĠباÙĦ Ø¥", + "Ġ æĬĢ", + "ĠæĬ Ģ", + "Ġмн оже", + "à¥Ĥ ड", + "ĠC ục", + "Ġe vet", + "Ġev et", + "Ġeve t", + "èģĶ åIJĪ", + "Ġ³³Ġ³³ Ġ³³Ġ³³", + "çļĦ å¿ĥ", + "Ġd áng", + "Ġdá ng", + "Ġdán g", + "اÛĮ سÙĩ", + "Ġ erken", + "Ġer ken", + "Ġerk en", + "æ³ ¡", + "ائ ب", + "Ġyap ıldı", + "Ġyapıl dı", + "ĠQu ản", + "æŶ 代", + "ìĽ ¨ìĸ´", + "ìĽ¨ ìĸ´", + "Ġг ÑĸÑĢ", + "ok oj", + "oko j", + "Ùĥ رة", + "Ùĥر Ø©", + "Ñİ Ðº", + "Ġvý j", + "Ġhod iny", + "Ġhodin y", + "Ġелек ÑĤÑĢон", + "m ıyor", + "ĠìŀĪ ëĭ¤ëĬĶ", + "ĠìŀĪëĭ¤ ëĬĶ", + "à¹ī à¹ī", + "иÑĤелÑĮ ное", + "иÑĤелÑĮно е", + "Ġyıl lar", + "Äı te", + "ĠÄįin nost", + "ุà¸ĵ à¸łà¸²à¸ŀ", + "í ĵ¨", + "н г", + "ู รà¸ĵ", + "ูร à¸ĵ", + "ĠпоÑĢÑıд ке", + "Ġëĭ¹ ìĭľ", + "ĠÐľ оÑģков", + "ĠÐľÐ¾Ñģк ов", + "Ġk red", + "Ġkr ed", + "Ġkre d", + "u rum", + "ur um", + "uru m", + "Ġ ÑĤÑı", + "ĠÑĤ Ñı", + "Ú© ÙĨاÙĨ", + "Ú©ÙĨ اÙĨ", + "д ии", + "ди и", + "ÑĢи мÑĸн", + "ÑĢим Ñĸн", + "ĠоÑĢгани зм", + "ĠоÑĢганиз м", + "Ġ éĽĨ", + "ĠéĽ Ĩ", + "ι ÏĥÏĦο", + "ιÏĥ ÏĦο", + "ä¿¡ çĶ¨", + "åįģ åĽĽ", + "à¹Ī à¹ĥà¸Ĭ", + "ĠÑĥ вид", + "ĠÑĥв ид", + "ัà¸ĩ à¸ģล", + "ัà¸ĩà¸ģ ล", + "åı¦ ä¸Ģ", + "ãĥ« ãĥķ", + "ัà¸ļ à¸Ľà¸£", + "ĠÃľ st", + "説 æĺİ", + "в ай", + "ва й", + "а Ñĩе", + "аÑĩ е", + "æ¬ £", + "Ġkat ıl", + "Ġkatı l", + "ĠC em", + "ĠCe m", + "ĠاÙĦ جÙĩ", + "ĠاÙĦج Ùĩ", + "Ġг ÑĢÑĥз", + "ĠгÑĢÑĥ з", + "ĠгÑĢ Ñĥз", + "Ġза ÑģÑĤав", + "ĠзаÑģÑĤ ав", + "cı lar", + "ĠÑħоÑĤ ел", + "Ġs nÃŃm", + "Ġsn ÃŃm", + "ĠsnÃŃ m", + "ï¼Į 被", + "Ġ виÑī", + "Ġв иÑī", + "Ġви Ñī", + "Ġdem okrat", + "Ġdemok rat", + "à¥ĩ à¤Łà¤°", + "à¥ĩà¤Ł र", + "åij¨ å¹´", + "Ġod pad", + "Ġodp ad", + "Ġda ÅĪ", + "Ġ 代", + "à¹ĩ à¸Ļà¸Ń", + "à¹ĩà¸Ļ à¸Ń", + "ĠÑģк олÑĮко", + "Ġα ÏĨ", + "ĠpÅĻes vÄĽd", + "Ġ åĵģ", + "Ġåĵ ģ", + "ĠинÑĦоÑĢм аÑĨии", + "ĠинÑĦоÑĢма ÑĨии", + "çĽ Ĺ", + "ãģ¾ ãģ¨", + "ĠÑģам ов", + "ĠÑģамо в", + "Ġpo cit", + "Ġpoc it", + "Ġíݸ ì§ij", + "ĠÑģм еÑģÑĮ", + "Ġpo jiÅ¡tÄĽnÃŃ", + "ãģ® ãĤĤ", + "à¹Ī าà¸ģาร", + "à¹Īา à¸ģาร", + "à¹Īาà¸ģ าร", + "ĠÛĮ ÙĪÙĨ", + "Ġ기 ìĸµ", + "ick ými", + "ický mi", + "ickým i", + "a lace", + "al ace", + "ala ce", + "鼻 å½±", + "Ñİ Ð²Ð°Ð½Ð½Ñı", + "缸 åIJĮ", + "Ġ ãĢĥ", + "ĠãĢ ĥ", + "ĠдокÑĥм енÑĤÑĸв", + "ĠдокÑĥменÑĤ Ñĸв", + "ï¼ ¹", + "åĪ° åºķ", + "ó z", + "ĠAh met", + "ĠÙħس اØŃت", + "Ġhl avou", + "Ġhlav ou", + "ül ebilir", + "üle bilir", + "ãĢĤ ä½ł", + "à¹ĩà¸ģ à¸Ĭาย", + "¤ ¤", + "Ġ æĦı", + "ĠæĦ ı", + "Ġch áºŃm", + ". д", + "Ġ cca", + "Ġc ca", + "Ġcc a", + "Ġol umsuz", + " ŀ", + "çĬ ¬", + "ĠпоÑģÑĤоÑıн но", + "Ġ.************** Ċ", + "Ġا ستر", + "Ġاست ر", + "Ġاس تر", + "ĠдалÑĮ ней", + "ů r", + "ä¿Ŀ èŃ·", + "боÑĢ аÑĤоÑĢ", + "боÑĢа ÑĤоÑĢ", + "à ·", + "Ïĥ ÏĦαν", + "ÏĥÏĦ αν", + "ÏĥÏĦα ν", + "ĠÙģ ÙĬÙĦÙħ", + "ĠÙģÙĬ ÙĦÙħ", + "ç ek", + "çe k", + "ìŀIJ 기", + "Ġ æ¥Ń", + "Ġæ¥ Ń", + "н Ñĸп", + "нÑĸ п", + "èī ĩ", + "Ġm oci", + "Ġmo ci", + "Ġmoc i", + "ìľ µ", + "리 ê·¸", + "ĠÐļ о", + "éĤ£ éĩĮ", + "ĠС ÑĤаÑĢ", + "ĠСÑĤ аÑĢ", + "ĠСÑĤа ÑĢ", + "ĠتÙĪاÙĨ ÛĮد", + "Ġng uyá»ĩn", + "Ġnguy á»ĩn", + "Ġ สามารà¸ĸ", + "Ġส ามารà¸ĸ", + "Ñĸ Ñĩна", + "ÑĸÑĩ на", + "Ġ 被", + "Ġè¢ «", + "ุà¸ķสาห à¸ģรรม", + "Ġع صر", + "Ġعص ر", + "ĠÃľNÄ° VERS", + "Ġteh dy", + "ĠÙĪصÙĦ ات", + "ĠÙĪص ÙĦات", + "ä¿Ŀ è¯ģ", + "ĠE udicots", + "ĠÎł ÎŃ", + "建 è¨Ń", + "ĠìłĦ êµŃ", + "Ġ ØŃÛĮ", + "ĠØŃ ÛĮ", + "ãĤ¤ ãĥĦ", + "ĠØŃ Ø§ØµÙĦ", + "ĠجÙĨ ÙĪبÛĮ", + "ĠجÙĨÙĪب ÛĮ", + "ãĢģ æĹ¥æľ¬", + "à Ļ", + "Ġ à¸Ĺาà¸ĩ", + "Ġà¸Ĺ าà¸ĩ", + "ĠÙĨØŃ ÙĪ", + "اÙĩ ÙĬÙħ", + "å¾Į ãģ«", + "à¸Īะ à¹Ħà¸Ķ", + "åĩł 个", + "à¥ģ à¤ģ", + "à¥ģठģ", + "ëĮĢ ìĿĺ", + "Ġl Ãłn", + "ĠlÃł n", + "ìĽĶ ë¶ĢíĦ°", + "Æ ł", + "Ġ еди", + "Ġе ди", + "Ġs pis", + "Ġsp is", + "Ġspi s", + "æľī ä»Ģä¹Ī", + "Ġneb yla", + "Ġneby la", + "Ġnebyl a", + "Ġíķ´ ìĻ¸", + "ë¡ľ ë¶ĢíĦ°", + "аÑĢ Ñħ", + "l ili", + "li li", + "lil i", + "Ġíķĺ 루", + "ma ması", + "mam ası", + "Ñĩ аеÑĤ", + "Ñĩа еÑĤ", + "ĠØŃ Ø§ÙĦØ©", + "ĠØŃاÙĦ Ø©", + "ĠBöl üm", + "缸 éĹľ", + "ĠдÑĢÑĥг ими", + "ĠдÑĢÑĥгим и", + "çĽ£ çĿ£", + "à¥Ī à¤ľ", + "Ġعبد اÙĦÙĦÙĩ", + "ĠعبداÙĦ ÙĦÙĩ", + "Ġ è¿ŀ", + "Ġè¿ ŀ", + "ĠÐľ ин", + "ĠÐľÐ¸ н", + "Ġê¸ °ëĭ¤", + "Ġ기 ëĭ¤", + "Ġê³µ 격", + "è¡Į åĭķ", + "ा मà¤ķ", + "ाम à¤ķ", + "æ±Ĥ è´Ń", + "模 åŀĭ", + "Ñģ оÑĢ", + "Ñģо ÑĢ", + "r ane", + "ra ne", + "ran e", + "à¹ĩà¸Ī à¸ŀระ", + "ĠÙħس ÛĮر", + "è£ħ ç½®", + "ìķ ¤", + "nÄĽ jÅ¡ÃŃch", + "nÄĽjÅ¡ÃŃ ch", + "αλ ÏįÏĦε", + "ĠH akk", + "ĠHa kk", + "ĠHak k", + "访 éĹ®", + "ĠÑĤ еÑĩ", + "ĠÑĤе Ñĩ", + "ĠL á»ĭch", + "Ġدش ÙħÙĨ", + "Î Į", + "Ġ ÏĢε", + "ĠÏĢ ε", + "Ġза мов", + "Ġзам ов", + "Ġb irim", + "Ġbi rim", + "Ġbir im", + "Ġbiri m", + "ãĤ· ãĤ¹ãĥĨãĥł", + "ĠÏĢÏģο ÏĬ", + "Ĭ ìĿĢ", + "в иг", + "ви г", + "Ġëıħ ìĿ¼", + "ĠÑĢев олÑİ", + "Ġ é¦Ļ港", + "Ġé¦Ļ 港", + "Ġ lez", + "Ġl ez", + "Ġle z", + "ĠبÛĮ Ùħار", + "ĠبÛĮÙħ ار", + "Ġduy gu", + "Ġduyg u", + "Ġë Ľ°", + "Ġa macı", + "Ġam acı", + "Ġama cı", + "Ġamac ı", + "à¥įय प", + "ĠìŀIJ ìĦ¸", + "اÙĪ ÛĮر", + "اÙĪÛĮ ر", + "Ġs pole", + "Ġsp ole", + "Ġspo le", + "Ġspol e", + "Ãĸ L", + "Ġ جع", + "Ġج ع", + "ÙĦ ÛĮÙħ", + "ÙĦÛĮ Ùħ", + "ãģªãģ© ãģ®", + "à¸Ľà¸£à¸°à¸ª à¸ļ", + "ĠnaÅ¡ ich", + "ĠпÑĢедÑģÑĤав лÑıеÑĤ", + "Ġзд об", + "Ġo bou", + "Ġob ou", + "Ø® ÙĪاÙĨ", + "Ø®ÙĪ اÙĨ", + "ãĥ¬ ãĥĥãĥĪ", + "о дейÑģÑĤв", + "од ейÑģÑĤв", + "Ú© رÛĮ", + "کر ÛĮ", + "Ġات اÙĤ", + "ĠÑįкÑģп лÑĥаÑĤа", + "ï½ ¢", + "ĠÙĦÙĦ Ø¥", + "ĠاÙĦÙĨ ظاÙħ", + "ĠíĶĦ ëŀijìĬ¤", + "ıs ıt", + "ısı t", + "åŃ Ļ", + "Ġžád ný", + "ÙĤ Ùī", + "ัà¸ģ à¹Ģร", + "Ġë²ł ìĬ¤íĬ¸", + "Ġ ãĥ«", + "Ġãĥ «", + "åı Ķ", + "n ické", + "nic ké", + "nick é", + "Ġε ιÏĥ", + "Ġει Ïĥ", + "ãĥ« ãĥī", + "Ġدار Ùħ", + "Ġг ем", + "Ġге м", + "Ġ åѸ", + "ĠåŃ ¸", + "ान सà¤Ń", + "ानस à¤Ń", + "али зи", + "ализ и", + "ов анÑĸ", + "ова нÑĸ", + "ован Ñĸ", + "Ġо бо", + "Ġоб о", + "ìłĦ ìĹIJ", + "ĠS inh", + "ĠSi nh", + "ĠSin h", + "Ġ ÙĨع", + "ĠÙĨ ع", + "Ġоб лаÑģ", + "Ġобла Ñģ", + "Ġобл аÑģ", + "Ïħ ÏĢ", + "èĥ ¶", + "Ġaz alt", + "Ġazal t", + "åħ¨ éĿ¢", + "ĠK romÄĽ", + "ĠKro mÄĽ", + "ĠC z", + "æĬ¥ åIJį", + "Ġnásled ujÃŃcÃŃ", + "Ġна пÑĢиклад", + "ĠнапÑĢи клад", + "ãģª ãģijãĤĮãģ°", + "à¸Ń าย", + "çľĭ çľĭ", + "Ġà¸ģร à¸ģà¸İ", + "Ġà¸ģรà¸ģ à¸İ", + "ed nou", + "edn ou", + "ا زÙĦ", + "از ÙĦ", + "ãĢģ æľ¬", + "е Ñģи", + "еÑģ и", + "Ġta rz", + "Ġtar z", + "ãĢĢ ï¾Ĭ", + "Ġroz um", + "ãĤ« ãĥ¼ãĥī", + "ãĤ«ãĥ¼ ãĥī", + "Ġà¤ĩ à¤ķ", + "Ġpros tÄĽ", + "Ġprost ÄĽ", + "ĠÎĵ κ", + "ç© ´", + "ĠH ük", + "la vÃŃ", + "lav ÃŃ", + "ê ¿", + "é¸ ¡", + "Ġвозник аеÑĤ", + "Ġвозника еÑĤ", + "ÑŁ ÑŁÑŁ", + "ÑŁÑŁ ÑŁ", + "Ġпо нима", + "Ġпон има", + "ÐŁ Ðŀ", + "ãģĶãģĸ ãģĦãģ¾ãģĻ", + "ãģ ħ", + "Ġtr val", + "Ġдал еко", + "ĠÙĨ ÙĬز", + "ĠÙĨÙĬ ز", + "ĠвÑĭ Ñıв", + "ิà¸Ĺย า", + "ิà¸Ĺ ยา", + "Ġl á»Ĺ", + "Ġlá» Ĺ", + "à¹Ģ สà¸Ļ", + "à¹Ģส à¸Ļ", + "ĠÑģÑĤ енÑĭ", + "ĠÑģÑĤен Ñĭ", + "à¥įड ल", + "Ġjednotliv ých", + "ĠпÑĢиб лиз", + "i kat", + "ik at", + "ika t", + "Ġп одав", + "Ġпо дав", + "Ġпод ав", + "Ġпода в", + "ر ÛĮز", + "رÛĮ ز", + "ĠØ¢ÙĨ جا", + "社 æľĥ", + "Ġà¤ľà¤¨ वर", + "Ġa ile", + "Ġai le", + "Ġail e", + "ี à¸Ľ", + "Ġ èħ", + "Ġè ħ", + "ãģ§ ãģĹãĤĩãģĨ", + "С Ðŀ", + "ãĢģ ãĢĬ", + "ìĿ¼ 본", + "ov anou", + "ova nou", + "ovan ou", + "ν ÏĮ", + "å± ¥", + "ع ÙĦÙĤ", + "عÙĦ ÙĤ", + "Ġìī ½", + "Ġгли б", + "Ġê²ĥ ìŀħëĭĪëĭ¤", + "ĠнеобÑħодим оÑģÑĤи", + "ĠнеобÑħодимо ÑģÑĤи", + "Ġتخصص ÛĮ", + "ا سر", + "اس ر", + "ï¼Į 说", + "ĠÐĿ Ñĸ", + "Ġvy rob", + "ÑĪ ÑĥÑİ", + "ÑĪÑĥ Ñİ", + "æĪ¿ å±ĭ", + "Âł ÐĹ", + "à¹Ģ à¸ŀล", + "à¹Ģà¸ŀ ล", + "åĨħ éĥ¨", + "ĠدÙĦ ار", + "Ġп ÑĤи", + "Å¡ ti", + "Å¡t i", + "ĠaraÅŁtır ma", + "Ġзна ком", + "Ġε λλην", + "Ġ ấm", + "ÑĢ ак", + "ÑĢаРº", + "ÑĢа к", + "ãĤŃ ãĥ¥", + "Ġth áºŃn", + "èŃ ľ", + "ëªħ ìĿĺ", + "Ġy eter", + "Ġyet er", + "Ġye ter", + "Ġна Ñģлед", + "ĠнаÑģ лед", + "ĠÐļ ан", + "ĠÐļа н", + "ĠвÑĭ биÑĢа", + "ĠвÑĭб иÑĢа", + "ĠΣ Ïĩ", + "ĠÑĤеÑĢ мÑĸн", + "Ġ æ´»", + "Ġæ´ »", + "ĠاÙĦ تÙģ", + "ĠاÙĦت Ùģ", + "ĠJ apon", + "ĠJa pon", + "ĠJap on", + "éĤ ª", + "ë¶Ħ ìĦĿ", + "Ġли ÑĨо", + "ĠлиÑĨ о", + "Ġm ê", + "à¸Ħ วร", + "à¸Ħว ร", + "Ġà¤ħ à¤Ĺल", + "Ġà¤ħà¤Ĺ ल", + "ĠÙĩ ج", + "룬 ìļ´", + "Ġвой нÑĭ", + "اÙĪر زÛĮ", + "ĠÑģп ÑĢÑı", + "çĦ ¼", + "è¢ ĸ", + "Ġiç eren", + "Ġiçer en", + "Ġëħ¸ ëŀĺ", + "ĠЧеÑĢ ез", + "ÙĪج ÙĪد", + "Ñı ÑĤие", + "ÑıÑĤ ие", + "ÑıÑĤи е", + "à¸Ńลล าร", + "è ·¨", + "è· ¨", + "ĠM illi", + "ĠMill i", + "ĠMil li", + "ĠMi lli", + "件 äºĭ", + "Ġ æľĿ", + "βολ ή", + "βο λή", + "Ġ ков", + "Ġк ов", + "Ġко в", + "ĠØ´Ùĩ ÛĮد", + "ä¸ĭ åİ»", + "Ġìłķ ìĭł", + "оÑĩ кÑĥ", + "ï¼Į 便", + "γ κε", + "γκ ε", + "ĠÙħ باش", + "ĠÙħب اش", + "Ġay ında", + "Ġ ä»»", + "ÑģÑĤоÑĢ ÑĸÑı", + "ä¸Ń åѦ", + "ç¸ ®", + "ĠÑĦ Ñĸл", + "ãĢģ ãĤĦ", + "Ġ æĺ¥", + "Ġæĺ ¥", + "Ġter ör", + "Ġповин ен", + "Ġmilion ů", + "ĠÙģ ارس", + "ĠÙģار س", + "Ġв вод", + "Ġвв од", + "Ø· اÙĦ", + "Ġê¶ģ ê¸Ī", + "Ġuk áz", + "çĶ ľ", + "æļ Ĥ", + "ص ت", + "Ðļ огда", + "Ġम ल", + "ά να", + "άν α", + "Ġдок ÑĤоÑĢ", + "Ġком мÑĥ", + "ĠпÑĸд Ñģ", + "Ġà¸ģรà¸ģà¸İ าà¸Ħม", + "Âł г", + "Ġö ne", + "Ġön e", + "ĠÄIJ á»ģ", + "ĠÄIJá» ģ", + "äºĭ åĭĻ", + "Ġs rov", + "Ġsr ov", + "Ġ άν", + "Ġά ν", + "ëıĦ ê°Ģ", + "acaÄŁ ım", + "acaģı m", + "к ол", + "ко л", + "Ġb á»ĵi", + "Ġپرد از", + "Ġ ä¸ļ", + "Ġä¸ ļ", + "ëĭ¤ ìļ´", + "Ġп ÑĢедел", + "ĠпÑĢед ел", + "ĠпÑĢе дел", + "ĠÑĦедеÑĢа лÑĮ", + "ĠاÙĦ Ø£Ùĥ", + "ĠاÙĦØ£ Ùĥ", + "ãĢĢ ãĢĢãĢĢãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢ ãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢãĢĢĠãĢĢ ĠãĢĢ", + "Ġtr ấn", + "Ġд лин", + "Ġдли н", + "ĠÑĸ мп", + "ĠÑĸм п", + "ĠsmÄĽ rem", + "° ëĭ¤", + "Ġr ừng", + "ici álnÃŃ", + "è¡ Ĩ", + "μ ιο", + "μι ο", + "Ġاد ارÙĩ", + "ĠÑĤ ÑĢÑĮ", + "ĠÑĤÑĢ ÑĮ", + "ĠÄ° li", + "ĠÄ°l i", + "มà¸Ļ à¸ķร", + "à¥įव à¤ļ", + "е ÑĢо", + "еÑĢ о", + "ĠK UR", + "sk ými", + "ský mi", + "ským i", + "δ ί", + "u tin", + "ut in", + "uti n", + "Ġver iler", + "Ġveri ler", + "สà¸ĸาà¸Ļ à¸Ĺ", + "ĠзаÑħод Ñĸв", + "ĠÙģرÙĪد گاÙĩ", + "Ġ çĶ±", + "ู à¹ģล", + "éĥ ij", + "ĠJ ako", + "ĠJa ko", + "ĠJak o", + "ĠÑĢазвиÑĤи е", + "ĠÑĢазви ÑĤие", + "à¤ī न", + "ÙĬ دا", + "ÙĬد ا", + "Ġà¸ŀ à¸¤à¸©à¸łà¸²à¸Ħม", + "물 ìĿĦ", + "ë łĢ", + "ëł Ģ", + "- ÐĽ", + "ãĢĤ ãģĤ", + "Ġпод в", + "ï¼ī ï¼ļ", + "论 åĿĽ", + "ائ ع", + "ãĤĴ ãģĻãĤĭ", + "ĠØ£ ص", + "Ñĩ ики", + "Ñĩи ки", + "Ñĩик и", + "ĠÑģÑĤ ил", + "ley ici", + "Ñģ илÑĮ", + "Ñģи лÑĮ", + "Ġbulun du", + "ĠÑģеÑĢед ови", + "à¤Ĥ र", + "ĠاÛĮÙĨ جا", + "åľŃ åľŃ", + "ĠmyÅ¡ len", + "ĠÑĢозвиÑĤ ок", + "Ġiy ileÅŁ", + "Ġiyi leÅŁ", + "Ġв Ñĸз", + "ĠвÑĸ з", + "ëĤĺ 무", + "æĦı è§ģ", + "ι ÏĥÏĦη", + "ιÏĥ ÏĦη", + "ãĥĥ ãĥĦ", + "äºĭ æķħ", + "m adıģı", + "ma dıģı", + "mad ıģı", + "madı ģı", + "Ġà¤ħ पर", + "Ġà¤ħप र", + "ĠÚĨ رخ", + "Ġп лав", + "Ġпл ав", + "Ġпла в", + "以 æĿ¥", + "Ġë© Ģ", + "T uy", + "Tu y", + "ãĥ¼ ãĥį", + "ãĥ¼ãĥ į", + "Ġиз ÑĥÑĩ", + "ĠstÅĻed nÃŃ", + "课 ç¨ĭ", + "Ġê·¸ëħĢ ëĬĶ", + "ĠдоговоÑĢ Ñĥ", + "Ġдогов оÑĢÑĥ", + "ĠÄij á»ĭch", + "ĠÄijá»ĭ ch", + "Ġkar arı", + "Ġkarar ı", + "Ġkara rı", + "åIJ ´", + "Ùĥ اÙħ", + "ĠпоÑĤ ол", + "в ок", + "во к", + "ĠD üz", + "Τ α", + "å µ", + "âĢĻ na", + "âĢĻn a", + "а дж", + "ад ж", + "ĠdÅĻÃŃ ve", + "æ¢ ¨", + "ĠAv ust", + "åĬĽ ãĤĴ", + "à¹Ģ à¸ģล", + "à¹Ģà¸ģ ล", + "Ġпоб ед", + "Ġп ÑĢиÑĩ", + "ĠпÑĢ иÑĩ", + "ĠпÑĢи Ñĩ", + "ĠÐij Ñĸ", + "åŃ ¤", + "ĠÐł ег", + "ĠÐłÐµ г", + "Ġyet iÅŁ", + "Ġн еÑİ", + "Ġне Ñİ", + "Ġb ÃŃl", + "ĠbÃŃ l", + "ìĹĨ ìĿĮ", + "ĠÄ° talya", + "ÐĴ Ñģе", + "å¾Į ãģ®", + "Ġje jÃŃm", + "Ġjej ÃŃm", + "ĠjejÃŃ m", + "ĠвиглÑı дÑĸ", + "о гÑĢад", + "ог ÑĢад", + "огÑĢа д", + "Ġbo hat", + "Ġboh at", + "Ġ åħĭ", + "Ġåħ ĭ", + "ĠдиÑĤи ни", + "ĠдиÑĤ ини", + "лÑı ÑĤоÑĢ", + "ма га", + "маг а", + "ëĭĪ ìĬ¤", + "ĠÐł ади", + "ĠÐłÐ°Ð´ и", + "ĠÐłÐ° ди", + "ÏĢ οÏħÏģγ", + "ÏĢοÏħ Ïģγ", + "& ZeroWidthSpace", + "Ġ struk", + "Ġst ruk", + "Ġstr uk", + "Ġstru k", + "æIJ ŀ", + "Ġ ãģĿãģ®ä»ĸ", + "ìĿ¸ ìĿĦ", + "ĠпÑĢо веÑģÑĤи", + "ĠпÑĢов еÑģÑĤи", + "漫 çĶ»", + "Ġçİ© 家", + "ĠÙĪ رز", + "ĠÙĪر ز", + "ĠÑģвоÑĹ Ð¼", + "ĠL RV", + "ĠLR V", + "ิà¸ķ à¸ł", + "स त", + "ĠíĿ Ķ", + "âĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹı âĹıâĹıâĹıâĹıâĹıâĹıâĹıâĹı", + "Ġt voÅĻÃŃ", + "ĠtvoÅĻ ÃŃ", + "Ġ ÐŁÐŀ", + "ĠÐŁ Ðŀ", + "é«ĺ 度", + ".h wp", + ".hw p", + "à¸ķำ à¸ļล", + "Ġد س", + "ìĪĺ ê°Ģ", + "ìĶ ©", + "ï¼ī ãĢĤĊ", + "ï¼īãĢĤ Ċ", + "æĭ ³", + "Ġl ô", + "ĠK ültür", + "اط عة", + "Ġku chy", + "Ġst roj", + "Ġstr oj", + "Ġstro j", + "μ ενο", + "με νο", + "μεν ο", + "ĠконÑģÑĤÑĢÑĥк ÑĨии", + "å°ı åѦ", + "Ġ åįļ", + "Ġåį ļ", + "Ġ èĢĥ", + "ĠèĢ ĥ", + "Ġas ıl", + "æĪij åĢij", + "خر اج", + "ĠO nun", + "ĠOn un", + "Ġ ç¾İåĽ½", + "Ġç¾İ åĽ½", + "à¥Ĥ बर", + "à¥Ĥब र", + "Ġmu ži", + "Ġmuž i", + "å§ «", + "Ġв б", + "Ġдо ме", + "Ġдом е", + "Ġ ам", + "Ġа м", + "Ġk uru", + "Ġkur u", + "Ġku ru", + "æ± Ĺ", + "l ediÄŁi", + "le diÄŁi", + "ledi ÄŁi", + "Ġv ẽ", + "å¾ ĵ", + "ĠгÑĥб еÑĢ", + "ĠÑģÑĤанов иÑĤÑĮ", + "ĠzemÄĽ dÄĽl", + "ÙĦ ÙĦ", + "Ġr amen", + "Ġra men", + "Ġram en", + "Ġprů bÄĽhu", + "Ġb lok", + "Ġbl ok", + "Ġblo k", + "ý val", + "ýv al", + "v ou", + "vo u", + "ν ά", + "ëĶĶ ìĭľ", + "ÑĨион нÑĭе", + "Ġê²Įìĭľ íĮIJ", + "ãĥ³ ãĥĩãĤ£", + "ãĥ³ãĥĩ ãĤ£", + "ä¸Ģ 级", + "и Ñĩа", + "иÑĩ а", + "ĠسرÛĮ اÙĦ", + "i lin", + "il in", + "ili n", + "ा यन", + "ाय न", + "ÙĨ ÙĪÛĮس", + "ĠÐĶ и", + "Ġاد بÛĮ", + "ĠÑĥ дов", + "ĠÑĥд ов", + "ĠÐĹ Ð°Ð¼", + "ĠÐĹа м", + "à¥ģà¤Ń व", + "Ñģ ок", + "Ñģо к", + "ĠÑĢай оне", + "ĠÑĢайон е", + "Ġ EK", + "ĠE K", + "æĤ ī", + "Ġsor umlu", + "Ġsoruml u", + "Ġzv yÅ¡", + "à¹Ģà¸ĭ à¸Ńร", + "in áÅĻ", + "iná ÅĻ", + "Ġu drž", + "Ġud rž", + "но вид", + "нов ид", + "ĠspoleÄį nÄĽ", + "Ġspole ÄįnÄĽ", + "æĪIJ äºĨ", + "ï¼ ¤", + "ัà¸ŀ à¸Ĺ", + "а ÑĪа", + "аÑĪ а", + "ĠÙĨ ادÙĬ", + "à¹ĥ à¸Ļà¸Ĺ", + "à¹ĥà¸Ļ à¸Ĺ", + "å¡ ļ", + "Ġس Ú©", + "ãĥģ ãĥ¥", + "ĠмаÑĢ ÑĪ", + "а леннÑı", + "ал еннÑı", + "ĠØŃÙħ اÛĮت", + "ãĥ³ ãĤ¸", + "รษ à¸IJ", + "Ġк ÑĢем", + "ĠK ažd", + "ê ½", + "Ġpar lament", + "Ġparl ament", + "ĠÅŁ un", + "ĠÅŁu n", + "Ġk ys", + "Ġky s", + "ÏĦ ÏĤ", + "ê°ľ ìĿĺ", + "Ġve lice", + "Ġvel ice", + "Ġce stu", + "Ġces tu", + "Ġcest u", + "ظ Ø©", + "è¯ Ĭ", + "Ġ út", + "Ġú t", + "ĠØ® ÙĪر", + "ĠØ®ÙĪ ر", + "ĠТ е", + "Ġобла ÑģÑĤ", + "ĠоблаÑģ ÑĤ", + "Ġобл аÑģÑĤ", + "à¹Ī à¸Ńà¸ķ", + "à¹Īà¸Ń à¸ķ", + "ĠAc adem", + "ĠAcad em", + "ãĢĤ æľ¬", + "Ġ 風", + "Ġé¢ ¨", + "Ñģ ен", + "Ñģе н", + "ãĥ¢ ãĥĩãĥ«", + "Ġзавд аннÑı", + "ãģ¾ ãĤĮ", + "моÑĤ ÑĢеÑĤÑĮ", + "моÑĤÑĢ еÑĤÑĮ", + "Ġkh á»ķ", + "à¹Ī ร", + "د رس", + "در س", + "ĠÄĮesk osloven", + "Ġ 计", + "Ġè® ¡", + "ĠÑĤак ом", + "ĠÑĤа ком", + "ĠÙĦ اعب", + "ĠÙĦا عب", + "ĠMuham med", + "ĠÙħ ÙĦÙģ", + "ĠÙħÙĦ Ùģ", + "ĠÙĪس ÙĦÙħ", + "ãĤ·ãĥ£ ãĥ«", + "Ġо кÑĢа", + "Ġок ÑĢа", + "à¥ģ मत", + "à¥ģम त", + "ĠëĪĦ 구", + "Ġned eni", + "Ġneden i", + "ĠëĤł ì§ľ", + "/ km", + "/k m", + "Ġд емон", + "Ġде мон", + "Ġдем он", + "ĠصÙĨ اÛĮع", + "m asından", + "mas ından", + "masında n", + "åīį ãģ®", + "æĪIJ 绩", + "ल à¤Ĺ", + "Ġ åĮħ", + "ĠåĮ ħ", + "à¸Ńà¸ģà¸Īาà¸ģ à¸Ļ", + "ا دا", + "اد ا", + "Ġay lık", + "ĠÙħ ÙĤد", + "ĠÙħÙĤ د", + "Ġönemli dir", + "ĠìĪľ ê°Ħ", + "Ġd inh", + "Ġdi nh", + "Ġdin h", + "Ġná kup", + "ist ické", + "istic ké", + "åº Ł", + "ìĬ¤ íĨł", + "Ġd ny", + "Ġdn y", + "ĠìŀĪ ëıĦë¡Ŀ", + "ìĽIJ ìĿĺ", + "ãĥķ ãĥ¬", + "p oz", + "po z", + "Ġ ев", + "Ġе в", + "ĠdÃ¼ÅŁ ür", + "à¥įर à¤ļ", + "Ġê²° íĺ¼", + "Ġ ÑĨенÑĤÑĢа", + "ĠÑĨенÑĤ ÑĢа", + "ĠÑĨен ÑĤÑĢа", + "ĠÑĨенÑĤÑĢ а", + "åŁ ĭ", + "ï¿£ ï½Ģ", + "æѦ åĻ¨", + "à¹Īาà¸Ļ มา", + "Ġर व", + "Ùij د", + "μÎŃ Î½Î¿Î¹", + "μÎŃν οι", + "μÎŃνο ι", + "Ġë§IJ ìĶĢ", + "Ġpo ÅĻad", + "Ġب غ", + "ĠÏĮ λα", + "ĠÏĮλ α", + "à¹ī à¹Ħà¸Ĥ", + "à¹Ģà¸ģ าะ", + "Ġb ạc", + "Ġd á", + "d ÄĽla", + "dÄĽ la", + "dÄĽl a", + "Ġt eb", + "Ġte b", + "Ġk èo", + "ãĤı ãĤĮ", + "Ġist iyorum", + "Ġistiyor um", + "λ ήÏĤ", + "λή ÏĤ", + "ÐIJ в", + "Ġa sla", + "Ġas la", + "Ġperform ans", + "Ġperfor mans", + "Ġperforman s", + "ĠVác lav", + "Ïģ ίαÏĤ", + "Ïģί αÏĤ", + "Ïģία ÏĤ", + "Ġ tÄĽl", + "Ġt ÄĽl", + "ĠtÄĽ l", + "æĮ Ļ", + "о ба", + "об а", + "ãģij ãĤĮãģ©", + "ĠëĶ ¸", + "ÙĪ اء", + "ÙĪا Ø¡", + "ĠÚ©ÙĪد کاÙĨ", + "ĠÚ©ÙĪدک اÙĨ", + "Ġп лиÑĤ", + "Ġпл иÑĤ", + "Ġ bilir", + "Ġb ilir", + "Ġbil ir", + "Ñĥ же", + "Ñĥж е", + "ÏĦÎŃ Î»Îµ", + "Ġà¤Ĩ à¤ķर", + "Ġà¤Ĩà¤ķ र", + "ĠÑĤÑĢ Ñĥда", + "ĠÑĤÑĢÑĥ да", + "ĠÑĤÑĢÑĥд а", + "Ġدر ÛĮا", + "ĠدرÛĮ ا", + "Ì §", + "Ġng á»įt", + "ÙĨس ا", + "а ÑģÑĤи", + "аÑģ ÑĤи", + "аÑģÑĤ и", + "ï½ £", + "Âł на", + "ем Ñĭе", + "Ġس عÙĪد", + "Ġسع ÙĪد", + "Ġ alım", + "Ġal ım", + "è´ «", + "åĪ° çļĦ", + "Ġkesin likle", + "Ġzá sad", + "Ġ ìĬ¤íĬ¸", + "ĠìĬ¤ íĬ¸", + "Ġd ahi", + "Ġda hi", + "Ġdah i", + "t é", + "åįģ åħ«", + "Ġz ayıf", + "Ø° ار", + "ذا ر", + "Ġا ÙĬراÙĨ", + "ĠاÙĬ راÙĨ", + "Ġhod nocenÃŃ", + "D ST", + "DS T", + "Ġìĸ ĺ", + "æĺ ĩ", + "éĻ £", + "Ġк ле", + "Ġкл е", + "Ġu plat", + "Ġup lat", + "ĠاÙĦتع ÙĦÙĬÙħ", + "ÏĢοί ηÏĥη", + "ек ÑĤоÑĢа", + "екÑĤ оÑĢа", + "екÑĤоÑĢ а", + "Ġë§IJ ìĿ´", + "ĠÙģ رÙĬÙĤ", + "ĠÙģر ÙĬÙĤ", + "帮 åĬ©", + "çĶŁ ãģį", + "åĨħ ãģ®", + "èģĶ 缣", + "г ÑĢад", + "гÑĢа д", + "Ġch uyến", + "ãĤĤ ãĤĬ", + "ĠÑĩаÑģÑĤ ина", + "ĠÑĩаÑģÑĤи на", + "ãģª ãģıãģª", + "ãģªãģı ãģª", + "ÑĶ в", + "ĠÑĦ аÑħ", + "k uk", + "ku k", + "çĶ· æĢ§", + "ĠÙħÛĮÙĦ ادÛĮ", + "Ġb eden", + "Ġbe den", + "Ġbed en", + "ê°Ģ 를", + "म र", + "Ġìĸ´ 머ëĭĪ", + "èģĶ ç½ij", + "Âł mi", + "Âłm i", + "Ġzah rn", + "æ² ĸ", + "Ġkhu ẩn", + "Ġo práv", + "Ġop ráv", + "Ġopr áv", + "ाह à¤ķ", + "ĠÚ©ÙĪت اÙĩ", + "Ġо бол", + "Ġоб ол", + "Ġобо л", + "Ġph úc", + "r ánÃŃ", + "rá nÃŃ", + "rán ÃŃ", + "à¥įर थ", + "æݪ æĸ½", + "Ġв олод", + "Ġво лод", + "Ġвол од", + "Ġsp ÃŃÅ¡e", + "Ġm Æ¡", + "ÑĬ ек", + "ng ör", + "à¤ī त", + "k siyon", + "ks iyon", + "ksi yon", + "а ÑĤе", + "аÑĤ е", + "Ġجز Ø¡", + "áv ka", + "ÐĴ С", + "laÅŁ ma", + "Ġ ç¿", + "Ġç ¿", + "à¸Ń าà¸Ĭ", + "ни ÑĨÑĥ", + "ниÑĨ Ñĥ", + "Ġ หาà¸ģ", + "Ġห าà¸ģ", + "ãģĭ ãģĹ", + "íı ´", + "Ġг аÑĢан", + "ĠгаÑĢ ан", + "ĠгаÑĢа н", + "Ġ Ïĥαν", + "ĠÏĥ αν", + "Ġдобав иÑĤÑĮ", + "ĠÑĢаз ÑĢеÑĪ", + "á ¾", + "æĺ¯ ä¸ª", + "μ ÎŃÏĤ", + "μÎŃ ÏĤ", + "ĠÄ°mpar ator", + "æ¨Ļ æºĸ", + "Ñģ ÑĤÑĭ", + "ÑģÑĤ Ñĭ", + "Ġg ücü", + "Ġgü cü", + "Ġgüc ü", + "Ġ íĥĢìĿ´", + "Ġíĥ ĢìĿ´", + "ĠíĥĢ ìĿ´", + "Ġ åħ¶ä»ĸ", + "Ġåħ¶ ä»ĸ", + "Ġt ông", + "Ġtô ng", + "Ġtôn g", + "Ġv edenÃŃ", + "Ġved enÃŃ", + "Ġvede nÃŃ", + "ëĵľ ë¡ľ", + "Ġm esel", + "Ġme sel", + "Ġmes el", + "Ġ Äįe", + "ĠÄį e", + "j de", + "jd e", + "Ïģ εια", + "Ïģε ια", + "Ïģει α", + "ãĤĪ ãģŃ", + "Ðł ÐĿ", + "è·Ŀ 离", + "ĠÙĤ ائÙħØ©", + "า à¸ļาล", + "าà¸ļ าล", + "ĠÑģай ÑĤÑĸ", + "Ġर स", + "ĠÙĤر ÙĨ", + "Ġná vr", + "Ġnáv r", + "Ú© Ùħ", + "çļĦ æīĭ", + "Ġsor unu", + "Ġsorun u", + "Ġsoru nu", + "/N ÄIJ", + "nut ÃŃm", + "nutÃŃ m", + "ĠØ® ÙĪرد", + "ĠØ®ÙĪ رد", + "ĠØ®ÙĪر د", + "Ġng á»Ŀ", + "Ġ: .|", + "Ġ:. |", + "Ġbudou c", + "i Äįky", + "iÄį ky", + "Ġد رد", + "Ġدر د", + "ÑĢо ниÑĩеÑģ", + "ÑĢон иÑĩеÑģ", + "ç¾ Ĭ", + "ĠìķĦ ë²Ħì§Ģ", + "ĠKan unu", + "ĠKanun u", + "ĠпÑĢивод иÑĤ", + "άλÏħ ÏĪηÏĤ", + "ĠVlad im", + "Ġal ıp", + "Ġе ÑĤап", + "Ġà¤Ĺ लत", + "ĠراÙĩ ÙĨÙħ", + "Ġpoz isyon", + "Ġgö ç", + "èµ ŀ", + "Ġм ой", + "Ġмо й", + "ĠÎł ά", + "Ġ ìĪł", + "ĠìĪ ł", + "ĠØ¢ÛĮ ÙĨدÙĩ", + "a ná", + "an á", + "举 çľģ", + "ĠÙħت عدد", + "Ġ åįĬ", + "Ġåį Ĭ", + "ãĢĢ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ãĢĢãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "Ġth á»Ŀ", + "Ġthá» Ŀ", + "Ġвд ÑĢÑĥг", + "п аÑĤ", + "па ÑĤ", + "ĠпÑĢовед ениÑı", + "ÙĨ ز", + "ĠاÙĦب ØŃØ«", + "æģ ¢", + "Ġbak tı", + "Ġ è·¯", + "Ġè· ¯", + "Ġзаболева ний", + "ĠÐķ вÑĢоп", + "ĠÐķв ÑĢоп", + "Ġtarih li", + "ê¹ ¨", + "ĠÚ© ÙĪÙĩ", + "ĠÚ©ÙĪ Ùĩ", + "Ġìĸ´ 볤", + "Ġtit ul", + "Ġti tul", + "Ġvyd ánÃŃ", + "éĺ¶ æ®µ", + "à¸Īะ à¸ķ", + "Ġм оÑı", + "Ġмо Ñı", + "ĠкоÑĢ ол", + "Ġко ÑĢол", + "Ġб анк", + "Ġбан к", + "วรร à¸ĵ", + "วร รà¸ĵ", + "ĠÙĥس ارة", + "ĠK hoa", + "ĠKh oa", + "ĠKho a", + "ĠÑĥнÑĸвеÑĢÑģиÑĤ еÑĤ", + "ãģ«éĸ¢ ãģĻãĤĭ", + "r uary", + "ru ary", + "Ġ à¸Ĥาย", + "Ġà¸Ĥ าย", + "Ġsv az", + "ĠØ´ رÙĤ", + "Ġشر ÙĤ", + "Ġд ÑĭÑħ", + "Ġиз бав", + "Ġизб ав", + "ĠÑı кÑĸй", + "ĠÑıк Ñĸй", + "ĠÑıкÑĸ й", + "ĠÎľ ον", + "Ġg ön", + "Ġgö n", + "ĠUkr aj", + "ĠUk raj", + "ĠUkra j", + "ัà¸Ļ à¸Ńà¸Ńà¸ģ", + "ัà¸Ļà¸Ń à¸Ńà¸ģ", + "Ġม à¸ģราà¸Ħม", + "и ÑĤов", + "иÑĤ ов", + "Ġanal ý", + "Ġana lý", + "ĠоÑĤ меÑĩ", + "Ġبر اÙī", + "âĪ ı", + "ัà¸ģ à¸ģ", + "æĭ¥ æľī", + "ĠÑĸнÑĪ ого", + "Ġкомп анÑĸÑĹ", + "Ġk ÅĻes", + "ĠÑĢаб оÑĩ", + "ĠÑĢабо Ñĩ", + "a dÃŃ", + "ad ÃŃ", + "ìł ł", + "à¹Ħ หà¸Ļ", + "à¥ģब ह", + "âĢĻ deki", + "âĢĻd eki", + "âĢĻde ki", + "çħ ¤", + "ĠпаÑĢ Ñĥ", + "Ġпа ÑĢÑĥ", + "ìĦ Ń", + "Ġнеп оÑģÑĢед", + "ĠÄ° b", + "Ġà¸ŀ ฤศà¸Ī", + "íĭ ´", + "Ġ ëłĪìĿ´", + "ĠëłĪ ìĿ´", + "ĠTh á»ķ", + "Ñı еÑĤ", + "ائ ج", + "» çĴĥ", + "ÐĴ Ðŀ", + "åĸ Ĭ", + "Ġ 第ä¸ī", + "Ġ第 ä¸ī", + "Ġвок ÑĢÑĥг", + "Ñĩ енÑĮ", + "Ñĩе нÑĮ", + "Ñĩен ÑĮ", + "Ġolan ak", + "Ġola nak", + "t ura", + "tu ra", + "tur a", + "Ġ ÙħÙĬÙĦ", + "ĠÙħ ÙĬÙĦ", + "ĠÙħÙĬ ÙĦ", + "ey di", + "ĠÙħد ÙĬر", + "Ġnel ze", + "ัว à¸Ńย", + "ìħ ľ", + "Ġhlav u", + "Ġkor uy", + "ÑĨ ин", + "ÑĨи н", + "ĠдиÑģ ÑĨип", + "ĠÙħ اÙĨد", + "ĠÙħا ÙĨد", + "ĠÙħاÙĨ د", + "Ġпод ÑĢоб", + "Т Ðŀ", + "ÙĤر ار", + "à¹ģà¸Ļะ à¸Ļำ", + "문 ìĿĦ", + "æĮ¯ ãĤĬ", + "P ÅĻi", + "PÅĻ i", + "Ġy ên", + "श à¤ķ", + "Âł je", + "ĠÐļон ÑģÑĤиÑĤÑĥ", + "à¥ģ ह", + "à¥ģठ¹", + "ĠÙ¾ ا", + "ìĨĮ 를", + "Ġд ела", + "Ġдел а", + "Ġде ла", + "к ид", + "ки д", + "à¹Ĥ à¸Ĭ", + "커 ìĬ¤", + "dÄĽ len", + "dÄĽl en", + "à¤Ķ र", + "äºİ æĺ¯", + "ĠÙĩÙħ ÛĮØ´Ùĩ", + "ĠbaÅŁ lam", + "Ġ ìĽ¨", + "ĠìĽ ¨", + "Ġden eyim", + "Ġdeney im", + "Ġü ye", + "Ġüy e", + "Ġ νÏĮ", + "Ġν ÏĮ", + "Ġà¤ĸ ड", + "n ÄĽl", + "nÄĽ l", + "ĠÑģÑĦ еÑĢÑĸ", + "ĠÑģÑĦеÑĢ Ñĸ", + "à¸Ńà¸Ķ à¸ł", + "ä¸Ģ å¹´", + "Ġvur gu", + "Äŀ Ä°", + "âĢĻ Ċ", + "ĠÑĸн ÑĪими", + "ĠÑĸнÑĪ ими", + "Ġз менÑĪ", + "Ġठĭ", + "Ġв ека", + "Ġве ка", + "ĠØŃÚ©ÙĪÙħ ت", + "ĠتÙħ اÙħÛĮ", + "ĠتÙħاÙħ ÛĮ", + "Ġs mrt", + "Ġsm rt", + "Ġsmr t", + "Ġh ủy", + "Ġyap ılmÄ±ÅŁ", + "Ġyapıl mÄ±ÅŁ", + "à¹ī à¸ľ", + "ĠY en", + "ĠYe n", + "Ġ Ñĥл", + "ĠÑĥ л", + "ĠS vÄĽt", + "ĠSv ÄĽt", + "ั à¸Ħ", + "ĠmÄĽsÃŃ ců", + "д енÑĤи", + "ден ÑĤи", + "Ġ ï¾ĺ", + "Ġï¾ ĺ", + "Ġпол иÑĤи", + "Ġполи ÑĤи", + "ĠполиÑĤ и", + "s kyt", + "sk yt", + "sky t", + "ä¹Ł æľī", + "Ġê°Ļ ìĬµëĭĪëĭ¤", + "Ġê·¸ëŀĺ ìĦľ", + "ÏĦε Ïģη", + "ÏĦεÏģ η", + "Ñĩ еÑĢ", + "Ñĩе ÑĢ", + "ĠÃľNÄ°VERS Ä°TESÄ°", + "ส à¸ł", + "Ġ สร", + "Ġส ร", + "ान द", + "ĠaÅŁ ırı", + "λ ίοÏħ", + "λί οÏħ", + "Ġ ÙĦÙģ", + "ĠÙĦ Ùģ", + "ÃŃ nu", + "ÃŃn u", + "à¸Ń าร", + "ÑĤ ÑĥÑĢа", + "ÑĤÑĥ ÑĢа", + "ÑĤÑĥÑĢ а", + "ĠÄįesk ých", + "ĠÄįe ských", + "ĠÄįeský ch", + "Ġph ức", + "以 为", + "ÏģÏī ÏĢα", + "ĠاÙĨر ÚĺÛĮ", + "» )", + "a lardan", + "alar dan", + "alarda n", + "ĠÑģÑĤ воÑĢÑİ", + "ĠÑģÑĤвоÑĢ Ñİ", + "Ġt ráv", + "Ġtr áv", + "ॠ¬", + "ãģĬ ãĤĪãģ³", + "ïľ ĭ", + "ad il", + "adi l", + "ĠΤ ι", + "Ġ ëIJ©ëĭĪëĭ¤", + "ĠëIJ ©ëĭĪëĭ¤", + "Ġε μÏĨ", + "Ġ구 ì¡°", + "ìĹŃ ìĭľ", + "ĠاÙĦ جاÙħ", + "ĠاÙĦج اÙħ", + "主 é¢ĺ", + "ãĤ¹ ãĥĿ", + "Ġ ìĹŃìĭľ", + "ĠìĹŃ ìĭľ", + "ĠÚ©Ùħ تر", + "ĠSp oleÄį", + "ол оÑĪ", + "оло ÑĪ", + "ĠSur iye", + "Ч еÑĢ", + "æĪĺ æĸĹ", + "Ġz ávis", + "Ġzá vis", + "Ġzáv is", + "æĽ¸ 館", + "Ġmus el", + "Ġmu sel", + "Ġmuse l", + "Ġ çĿ", + "Ġç Ŀ", + "Ùħ Ùħ", + "ĠاÙĦØ® ارج", + "Ġ ÐĵÐŀ", + "ĠÐĵ Ðŀ", + "ĠваÑĢ ÑĤо", + "ĠваÑĢÑĤ о", + "Ïģα β", + "Ġपह à¤ļ", + "ub lice", + "ublic e", + "ubl ice", + "ÑĨион ного", + "è Į¨", + "èĮ ¨", + "ĠدÙģ تر", + "Ġ Ùģس", + "ĠÙģ س", + "Ġन à¤ľà¤°", + "t arı", + "ta rı", + "tar ı", + "Ġоб ÑĢоб", + "ĠÐł а", + "ĠاÙĦ صÙĨ", + "ĠاÙĦص ÙĨ", + "Ø´ Ø©", + "ĠìĹĨ ìĹĪ", + "ož ná", + "æľĢ çµĤ", + "Ù ¥", + "r ech", + "re ch", + "rec h", + "ĠاÙĦØ£ سر", + "ĠاÙĦأس ر", + "Ġм ови", + "Ġмо ви", + "Ġмов и", + "Ġì¡° êµIJ", + "Ñĸ меÑĩ", + "Ñĸм еÑĩ", + "ãĥ¯ ãĥ¼", + "б ÑĥÑĢг", + "бÑĥ ÑĢг", + "Ġس ÙĦس", + "ĠسÙĦ س", + "åѦ ä¼ļ", + "Ġ ë¦", + "Ġë ¦", + "åħĭ æĸ¯", + "æĸĩ çĮ®", + "Ġx Æ°Æ¡ng", + "Ġyo lc", + "Ġyol c", + "Ġ ìĤ¬ë¬´", + "ĠìĤ¬ 무", + "ãĤı ãģļ", + "ĠÑĢаÑģÑĤ ений", + "ĠÙģ ضاÛĮ", + "ĠÙģض اÛĮ", + "Ġna opak", + "Ġnao pak", + "ĠпÑĢи вÑĭ", + "ĠпÑĢив Ñĭ", + "Ġد ÛĮدÙĩ", + "ĠدÛĮ دÙĩ", + "ĠدÛĮد Ùĩ", + "à¸ģาร à¹ĥà¸Ĭ", + "Ġ åŀ", + "Ġå ŀ", + "çij Ł", + "以 åIJİ", + "ĠpÅĻib liž", + "ĠdÃ¼ÅŁ man", + "Ġt emin", + "Ġte min", + "Ġtem in", + "ĠÑĥÑģл Ñĥг", + "ĠÑĥÑģ лÑĥг", + "Ġद ब", + "ĠìĥĪ ê¸Ģ", + "ĠÑĥÑģÑĤÑĢой ÑģÑĤва", + "ĠТ ÑĥÑĤ", + "ÏĦ ίοÏħ", + "ÏĦί οÏħ", + "ĠÄ°s lâm", + "Ù ¤", + "åıĤ ä¸İ", + "Ġк ÑĥÑģÑĤ", + "ĠкÑĥ ÑģÑĤ", + "ĠкÑĥÑģ ÑĤ", + "éĻIJ åĪ¶", + "ت ÙĬÙĨ", + "تÙĬ ÙĨ", + "ĠоÑģÑĤ аннÑĸ", + "ĠоÑģÑĤан нÑĸ", + "ic ations", + "ication s", + "ا Ú©ÛĮ", + "اک ÛĮ", + "но ÑģÑı", + "ноÑģ Ñı", + "ÄŁ an", + "ÄŁa n", + "ãģı ãĤĮãĤĭ", + "ãģıãĤĮ ãĤĭ", + "Ġyap ıyor", + "Ġyapı yor", + "Ġê°ķ ëĤ¨", + "Ùħ ÙĬÙħ", + "ÙħÙĬ Ùħ", + "æ ŃIJ", + "æŃ IJ", + "Ġر ع", + "Ġb oÄŁ", + "Ġbo ÄŁ", + "ĠиÑģ Ñħод", + "èª ł", + "æł· åŃIJ", + "Ġbu deme", + "Ġbud eme", + "Ġbude me", + "ĠÑģ еÑĤ", + "ι ÏĥμοÏį", + "ιÏĥμ οÏį", + "Ġ å¾ĴæŃ©", + "Ġå¾Ĵ æŃ©", + "u álnÃŃ", + "ĠاÙĦع ÙĤ", + "Ġسب Ú©", + "ĠاÙĦØ£ خرÙī", + "ĠاÙĦأخ رÙī", + "E FA", + "EF A", + "åĽº å®ļ", + "Ġ ãĤ¬", + "ĠãĤ ¬", + "ĠìŀIJ ìĹ°", + "ยว à¸Ĥ", + "ب س", + "un ma", + "Ġза ним", + "Ġзан им", + "à¹ĥà¸Ļ ร", + "èĢĥ èĻij", + "æ·· åIJĪ", + "å° ĭ", + "Ġçık Ä±ÅŁ", + "Ġm aliyet", + "Ġmal iyet", + "éľ Ĭ", + "ãģŁãĤģ ãģ®", + "ĠÙ¾ Ø´", + "Ġз лоÑĩ", + "Ġvý Å¡i", + "Ġsch vál", + "ĠÙĨÙħ ÙĪدÙĩ", + "ĠÙĨÙħÙĪد Ùĩ", + "Î Ĩ", + "Ġz ách", + "Ġzá ch", + "Ġ Ïĥκ", + "ĠÏĥ κ", + "ãĤ¹ ãĥŀ", + "ĠÙħس ائÙĦ", + "ĠاÙĦاج تÙħاع", + "åľ° çĤ¹", + "ا ÛĮاÙĨ", + "اÛĮ اÙĨ", + "ĠÐŀ к", + "ê¸ Ķ", + "e lease", + "el ease", + "ele ase", + "Ġطب ÙĤÙĩ", + "ĠطبÙĤ Ùĩ", + "éij ij", + "Ġì½Ķ ë¡ľëĤĺ", + "é¼ ł", + "大 åħ¨", + "ĠпÑĢи веÑģÑĤи", + "ĠпÑĢив еÑģÑĤи", + "Ġاب تد", + "Ġابت د", + "리 ë¡ľ", + "ĠÑģÑĤÑĢ анÑĭ", + "ĠÑģÑĤÑĢа нÑĭ", + "ĠÑģÑĤÑĢан Ñĭ", + "ĠzatÃŃm co", + "Ġh uyết", + "Ġhuy ết", + "سÛĮ ÙĪÙĨ", + "Ġsor du", + "âĢĮ رس", + "ĠÑĦ ÑĢон", + "Ġed ip", + "Ġedi p", + "ÙĨ Ú¯ÛĮ", + "ÙĨÚ¯ ÛĮ", + "Ġк иÑĢ", + "Ġки ÑĢ", + "Ġ íķ´ìķ¼", + "Ġíķ´ ìķ¼", + "ì» ´", + "ÑĨик лоп", + "ĠпÑĢимен ениÑı", + "Ġоб л", + "éļ ª", + "Ġk romÄĽ", + "Ġkro mÄĽ", + "æł¸ å¿ĥ", + "ra him", + "rah im", + "о ÑĢд", + "оÑĢ д", + "Ġl Ãłnh", + "ĠlÃł nh", + "ĠlÃłn h", + "Ġо ÑģÑĤÑĢов", + "ĠоÑģÑĤ ÑĢов", + "; |", + "b uz", + "bu z", + "Ġ ÏĦÏģο", + "ĠÏĦ Ïģο", + "ĠÐĴ аÑĢ", + "æī İ", + "ı lÄ±ÅŁ", + "ılı ÅŁ", + "ıl Ä±ÅŁ", + "éĿ¢ ç©į", + "身 份", + "é¢Ĩ åŁŁ", + "ĠاÙĦÙĤر ÙĨ", + "Ġ пÑĢиклад", + "ĠпÑĢи клад", + "ĠпÑĢик лад", + "ãĥģ ãĥ¼ãĥł", + "Ġสà¸ŀ à¸Ľ", + "Ġо ÑĩиÑģÑĤ", + "ĠоÑĩ иÑģÑĤ", + "ĠоÑĩи ÑģÑĤ", + "Ġмил ли", + "а ÑĨÑĸÑĹ", + "ี à¹Ģà¸Ń", + "Ġt anın", + "Ġtan ın", + "Ġtanı n", + "çĪ¶ 亲", + "Ġmsg str", + "Ġmsgs tr", + "ĠØ´ ÛĮÙħÛĮ", + "ĠØ´ÛĮ ÙħÛĮ", + "ĠÙģر اÙĩÙħ", + "Ġ 맥", + "Ġë§ ¥", + "ãĢĤ å½ĵ", + "Ġкон ÑĨенÑĤÑĢа", + "êµIJ íļĮ", + "ãĤī ãĤĮãģ¦", + "ãĤīãĤĮ ãģ¦", + "Ġya sak", + "Ġyas ak", + "ĠÐij ол", + "Ġ æ¾³", + "Ġæ¾ ³", + "çĩ ķ", + "Ġ جا", + "Ġج ا", + "ëij ĺ", + "Ġدر Ø®ÙĪاست", + "ĠmÃŃst nÃŃ", + "ÂĤ ÃĮ", + "Ġbas kı", + "Ġu çak", + "Ġuç ak", + "ä» ĵ", + "Ġìľł ì§Ģ", + "Ġп оба", + "Ġпо ба", + "Ġпоб а", + "Ġz eptal", + "Ġze ptal", + "ç»Ļ æĪij", + "ĠAt atürk", + "ĠÙħÙĨ اس", + "Ñ Ĵ", + "Ġar acı", + "Ġarac ı", + "Ġara cı", + "лÑİ ÑĶ", + "Ġnit elik", + "Ġnitel ik", + "ĠM ezi", + "ĠMe zi", + "ĠMez i", + "ĠÎŃ Î½Î±ÏĤ", + "ĠÎŃνα ÏĤ", + "ĠÎŃν αÏĤ", + "Ïİν ÏĦαÏĤ", + "v až", + "va ž", + "Ġk uzey", + "Ġ ÏİÏģα", + "ĠÏİ Ïģα", + "ĠÑĢоз пов", + "ĠÑĢозп ов", + "à¹Ī าà¸ģ", + "à¹Īา à¸ģ", + "ãĢģ ä¸ī", + "ĠÑģÑĤ аÑĢи", + "ĠÑģÑĤаÑĢ и", + "ĠÑģÑĤа ÑĢи", + "Ġhak kı", + "Ġhakk ı", + "ĠØ¢Ùħ ادÙĩ", + "íĮ Ķ", + "о мÑĸ", + "ом Ñĸ", + "Ġ âĢł", + "ĠâĢ ł", + "ãģĭ ãĤı", + "ãĢĮ ä½ł", + "æ³ķ åĽ½", + "ÙIJ ÙĬÙĨ", + "ÙIJÙĬ ÙĨ", + "æī ķ", + "н или", + "ни ли", + "нил и", + "ĠÑĥÑģÑĤанов ки", + "Ġl ông", + "Ġlô ng", + "त म", + "ÙĪ ÙĨÙĬØ©", + "ÙĪÙĨ ÙĬØ©", + "ÙĪÙĨÙĬ Ø©", + "ÙĬ تÙĬ", + "ÙĬت ÙĬ", + "Ġê²Įìĭľ 물", + "Ġve Å¡ker", + "ÎŃ Ïģγ", + "ÎŃÏģ γ", + "ĠÑĥ Ñģе", + "ĠÑĥÑģ е", + "Ġk ıl", + "Ġkı l", + "Ġil gi", + "Ġilg i", + "μ Ïīν", + "Ġз вÑĸлÑĮ", + "Ġзв ÑĸлÑĮ", + "Ġön lem", + "à¸ģà¸İ หมาย", + "ĠH iá»ĩp", + "Ġг оÑĢм", + "ĠгоÑĢ м", + "лÑı ÑİÑĤÑĮÑģÑı", + "лÑıÑİÑĤÑĮ ÑģÑı", + "la maya", + "lam aya", + "lama ya", + "ĠÑģпоÑģоб ом", + "ãģ¸ ãģ¨", + "ç¦ģ æŃ¢", + "ĠÑĢаÑħ Ñĥнок", + "ĠоÑĤвеÑĢ ÑģÑĤи", + ".: .:.:.", + ".:.: .:.", + ".:.:.: .", + ".:.:. :.", + "Ġmü da", + "о наÑħ", + "он аÑħ", + "она Ñħ", + "Ì£ c", + "Ġyap acak", + "Ġн азвание", + "Ġназ вание", + "Ġназва ние", + "对 æĸ¹", + "ëĮĢ íijľ", + "çĪ Ń", + "в ана", + "ва на", + "ван а", + "ह न", + "ĠпÑĢоблем а", + "Ġжен ÑīинÑĭ", + "ĠженÑīин Ñĭ", + "èŀ º", + "Ġhosp odáÅĻ", + "ĠСÑĤ еп", + "ĠodpovÄĽ d", + "ĠS á»Ń", + "e view", + "ev iew", + "evi ew", + "åĩł ä¹İ", + "çŁ ¢", + "æĿ¥ ãģŁ", + "Ġп олоÑģ", + "Ġпол оÑģ", + "ĠÑģ ел", + "å± Ĩ", + "ĠпеÑĢв ой", + "ĠпÑĢоÑĨеÑģ Ñģа", + "ĠпÑĢоÑĨеÑģÑģ а", + "ãĢĢ ãĤĿ", + "ت اÙħبر", + "تا Ùħبر", + "и лаÑģÑı", + "ила ÑģÑı", + "ï¼Į æĹł", + "ĠвлаÑģ ноÑģÑĤÑĸ", + "íķĺ ìŀIJ", + "аÑĤ ки", + "ĠB Ãł", + "ĠK arel", + "ĠKar el", + "ĠKa rel", + "ĠKare l", + "è· µ", + "ر ÛĮÙĩ", + "رÛĮ Ùĩ", + "ĠëĤĺ 를", + "ĠобеÑģпеÑĩ ива", + "ĠобеÑģпе Ñĩива", + "à¥įर पत", + "ãģĹ ãĤĩ", + "åį Ĵ", + "Ġ 奥", + "Ġå¥ ¥", + "ĠпÑĢ оÑĤе", + "ĠпÑĢо ÑĤе", + "ĠпÑĢоÑĤ е", + "Ġ æĭĽ", + "Ġæĭ Ľ", + "ĠСÑĤ ÑĢана", + "ĠÑĢабоÑĤ аÑĤÑĮ", + "ĠÑĢабоÑĤа ÑĤÑĮ", + "Ġتش Ø®ÛĮص", + "ек ÑģÑĥ", + "екÑģ Ñĥ", + "Ġ 리그", + "Ġ리 ê·¸", + "Ġص اÙĦØŃ", + "ĠbaÅŁ lamÄ±ÅŁ", + "ĠbaÅŁlam Ä±ÅŁ", + "ĠÙ¾ÛĮ اÙħبر", + "ĠÙ¾ÛĮاÙħ بر", + "ز ا", + "Ġм аÑģÑģ", + "ĠмаÑģ Ñģ", + "ĠÎł αÏģ", + "Ġγα Ïģ", + "ëĿ¼ íĶ¼", + "Ġy arı", + "Ġya rı", + "Ġyar ı", + "ĠÑĤип Ñĥ", + "Ðŀ п", + "ãģij ãģªãģĦ", + "e mem", + "em em", + "eme m", + "ĠnÄĽ mu", + "ĠnÄĽm u", + "ĠÙĨ شر", + "ĠÙĨØ´ ر", + "ĠÎijθή να", + "Ùģ راÙĨ", + "Ùģر اÙĨ", + "Ġ 網", + "Ġç¶ ²", + "ĠпÑĢом иÑģлов", + "ĠBu gün", + "ĠBug ün", + "ìŀ Ķ", + "ĠжÑĸн ок", + "Ġ à¸Ľà¸£à¸°à¹Ģà¸łà¸Ĺ", + "Ġà¸Ľà¸£à¸° à¹Ģà¸łà¸Ĺ", + "ĠвикоÑĢиÑģÑĤов ÑĥваÑĤи", + "ĠТ им", + "ĠТи м", + ") 를", + "еж аÑĤÑĮ", + "Ġs ona", + "Ġso na", + "Ġson a", + "Ø´ÙĨ بÙĩ", + "Ġnich ž", + "åī Ľ", + "ĠÙģ تØŃ", + "ĠÙģت ØŃ", + "ĠÙħÙĤ دÙħ", + "ĠÙħÙĤد Ùħ", + "ĠGüven lik", + "e um", + "eu m", + "ç»ı è¿ĩ", + "è·Ŀ éĽ¢", + "Âł не", + "Ġا صÙĪÙĦ", + "Ġاص ÙĪÙĦ", + "ĠzaÄį átku", + "ิà¹Ģว à¸ĵ", + "Ġà¤ķ à¤Ł", + "Ġk riz", + "Ġkr iz", + "Ġp án", + "Ġpá n", + "ĠбоÑĢ ÑĮ", + "Ġбо ÑĢÑĮ", + "ظ ÙħØ©", + "ظÙħ Ø©", + "Ġê²½ ë¶ģ", + "ĠاÙĦÙĬ ÙħÙĨ", + "ĠاÙĦعرب ÙĬ", + "Ġh lub", + "Ġhl ub", + "Ġch á»Ŀ", + "è¥ ²", + "ëĵľ 리", + "ãĥĸ ãĥª", + "ĠÑģÑĤол ÑĸÑĤÑĤÑı", + "ر بÙĬØ©", + "رب ÙĬØ©", + "Ġ æ°¸", + "Ġæ° ¸", + "Ġê±° ìĿĺ", + "Ġβ αÏĥ", + "Ġβα Ïĥ", + "Ġa rz", + "Ġar z", + "ãĥ¢ ãĥ³", + "ĠÑĢÑĸв енÑĮ", + "ä¸į çŁ¥", + "导 èĩ´", + "ا ÙĬØ´", + "اÙĬ Ø´", + "ĠпÑĢев ÑĭÑĪ", + "Ġп н", + "ĠÎĴ ÏģοÏĩή", + "Ġ 身", + "Ġè º«", + "ĠÄIJ ầu", + "ĠÏĮ μÏīÏĤ", + "j ÃŃž", + "jÃŃ Å¾", + "Ġλ ίγ", + "ĠÑĪк оли", + "ĠÑĪкол и", + "ãģ£ãģ± ãģĦ", + "z dy", + "zd y", + "Ġê³ §", + "t eÅŁ", + "te ÅŁ", + "ÑĢ еÑī", + "ÑĢе Ñī", + "κ ει", + "κε ι", + "sah uje", + "Ġà¤īस स", + "ĠTan rı", + "ä¸į 好", + "éĥ Ń", + "ĠвÑĭ глÑıд", + "Ġç oÄŁ", + "Ġин ÑģÑĤÑĢÑĥменÑĤ", + "r ej", + "re j", + "èĪ Į", + "ãģĭ ãĤīãģªãģĦ", + "ãģĭãĤī ãģªãģĦ", + "ĠнепÑĢи ÑıÑĤ", + "Ġк ÑĢоме", + "ζ η", + "Ġл ог", + "ा वर", + "ाव र", + "ëħķ íķĺìĦ¸ìļĶ", + "ाह रण", + "ाहर ण", + "Ġgüven ilir", + "T ại", + "ĠØ´Ùĩر د", + "ĠØ´Ùĩ رد", + "ĠΤ ε", + "о ÑĢаз", + "оÑĢ аз", + "оÑĢа з", + "Ġl Ãłng", + "ĠlÃł ng", + "ĠlÃłn g", + "ï¼ ©", + "æĬķ 注", + "Ġsiyas et", + "ÐĽ Ñİ", + "Ġt ÅĻet", + "ĠtÅĻ et", + "ĠÏĢÏģÏİ ÏĦη", + "ĠÑĥлÑĭ б", + "ĠL âm", + "ÑĥлÑĮÑĤ а", + "ÑĥлÑĮ ÑĤа", + "åŁº åľ°", + "Ġskup ina", + "æ°¸ ä¹ħ", + "лÑĥ гов", + "лÑĥг ов", + "Ġ ÑĨÑĸй", + "ĠÑĨ Ñĸй", + "ĠÑĨÑĸ й", + "ĠP oh", + "ĠPo h", + "i д", + "ĠTr uy", + "ĠTru y", + "çļĦ ä¸Ģ个", + "çļĦä¸Ģ 个", + "ë²Ħ ìłĦ", + "Ġx ứ", + "à¸ĩ à¹ģรà¸ģ", + "à¸Ħ à¸Ńม", + "Ġelektron ik", + "ĠaÄŁ aç", + "Ġà¤ľ य", + "ĠповеÑĢÑħ ноÑģÑĤÑĮ", + "ĠاÙĩÙħ ÛĮت", + "ли виÑħ", + "лив иÑħ", + "ĠolduÄŁ undan", + "ï¼ī :", + "ÑĨи ÑıÑħ", + "ÑĨиÑı Ñħ", + "製 ä½ľ", + "à¸Ĺ รà¸ĩ", + "à¸Ĺร à¸ĩ", + "ey im", + "eyi m", + "Ġná klad", + "c ilik", + "ci lik", + "cil ik", + "ĠÐĵ лав", + "ĠUy gu", + "ĠÑĢег ÑĥлÑİ", + "à¤Ĥ à¤ľà¤¨", + "à¤Ĥà¤ľ न", + "Ġkayn aģı", + "à¹ī าà¸Ń", + "à¹īา à¸Ń", + "Ġgör mek", + "ĠíĮ ¬", + "Ġ å®Į", + "Ġå® Į", + "Ø« ÙħاÙĨ", + "ĠÑĤак аÑı", + "ĠÑĤа каÑı", + "ĠÑĤака Ñı", + "Ġне из", + "Ġzpráv y", + "ĠاÙĦØ´ خص", + "Ġìĺ¤ íĽĦ", + "ĠاÙĦ طب", + "ĠاÙĦØ· ب", + "atır ım", + "ر ÙĬر", + "رÙĬ ر", + "ĠÙħع ÙħارÛĮ", + "Ãľ RK", + "ÃľR K", + "ĠÒ IJ", + "ĠìĦ ¬", + "æīĭ ãģ«", + "Ġë³Ģ íĻĶ", + "u lace", + "ul ace", + "ula ce", + "Ġs ợ", + "ÑĢ иÑĩ", + "ÑĢи Ñĩ", + "มห าว", + "Ġk â", + "ĠÑģп ÑĢоб", + "Ùĩ رÙĩ", + "Ùĩر Ùĩ", + "ाध न", + "ĠÏĢ αι", + "ĠÏĢα ι", + "ب عد", + "بع د", + "ĠاÙĦ تÙĪ", + "ĠاÙĦت ÙĪ", + "ç»ı çIJĨ", + "p ůsob", + "æ¬ ł", + "ĠзаÑħвоÑĢÑİ Ð²Ð°Ð½Ð½Ñı", + "Ø® Ø©", + "ÚĨ ار", + "Ġboz uk", + "] âĢı", + "ĠSoc orro", + "Ġ hrad", + "Ġh rad", + "Ġhr ad", + "Ġhra d", + "над леж", + "ĠÑĥÑĩаÑģÑĤ ие", + "ĠÑĥÑĩаÑģ ÑĤие", + "ĠÑĥÑĩаÑģÑĤи е", + "å¤ī ãĤı", + "Ġy ans", + "Ġya ns", + "Ġyan s", + "ĠØ¥ ÙĦ", + "Ø® بر", + "خب ر", + "ÑĨиклоп ед", + "ι Ïİν", + "ιÏİ Î½", + "Ïĥ ÏĦÏģο", + "ÏĥÏĦ Ïģο", + "Ġb anka", + "Ġbank a", + "Ġban ka", + "ĠsoÄŁ uk", + "Ġün lü", + "é¢ ľ", + "Ġر Ùģع", + "ĠرÙģ ع", + "çIJ ³", + "ĠÑģоÑģÑĤоÑı нии", + "ν ονÏĦαÏĤ", + "νον ÏĦαÏĤ", + "Ġа кÑĤи", + "Ġак ÑĤи", + "ĠакÑĤ и", + "ĠÏĢολ Ïħ", + "ĠÏĢο λÏħ", + "Ġм оÑĹ", + "Ġмо ÑĹ", + "Ġ æł¼", + "Ġæł ¼", + "ç² Ĺ", + "ĠÑģлÑĥÑĩ ай", + "ĠÑģлÑĥ Ñĩай", + "ĠÑģлÑĥÑĩа й", + "ìĿ¼ ìĹIJ", + "ĠÑĤÑĢеб ÑĥеÑĤ", + "Ġ åıĤèĢĥ", + "ĠåıĤ èĢĥ", + "an gl", + "ang l", + "am ik", + "ami k", + "Ġ Ä°Åŀ", + "ĠÄ° Åŀ", + "æ¹ ¯", + "ĠÄij áo", + "ĠÄijá o", + "ละ à¸Ħร", + "Ñģ о", + "Âł ob", + "Ġk lim", + "Ġkl im", + "Ġkli m", + "èĥ Ĩ", + "ìĥĿ íĻľ", + "ãĥij ãĥ³", + "- ब", + "Ġк ад", + "Ġка д", + "à¹Ī สามารà¸ĸ", + "ĠÙħس ÙĦÙħاÙĨ", + "ç¿ °", + "ĠB ütün", + "ĠK raj", + "ĠKr aj", + "ĠKra j", + "ĠпеÑĢ Ñģп", + "ĠпеÑĢÑģ п", + "Ġener j", + "ãģķ ãģĽãĤĭ", + "ãģķãģĽ ãĤĭ", + "è¾¾ åĪ°", + "ा à¤Ĭ", + "ाठĬ", + "ĠگرÙģ تÙĨ", + "ĠگرÙģت ÙĨ", + "ÑĪ кÑĥ", + "ĠÐŁ ло", + "ÃŃ ny", + "ÃŃn y", + "ĠH ra", + "ĠÚĨ ÙĨاÙĨ", + "Ġ à¹Ħà¸Ĺย", + "Ġà¹Ħ à¸Ĺย", + "vise jÃŃcÃŃ", + "Û³ Û³", + "ĠÐľÑĸнÑĸÑģÑĤ еÑĢ", + "à¹Ĥ à¸Ń", + "ĠدÙĩ ÛĮد", + "æ¯Ķ ä¾ĭ", + "Ïĥι εÏį", + "Ç IJ", + "ãĢģ ãģª", + "Ġत स", + "ĠÄ° t", + "ĠìłĦ ìŁģ", + "à¹Ģ à¸Īร", + "à¹Ģà¸Ī ร", + "Ġelek tr", + "Ġelekt r", + "Ġd Æ°", + "â ĶĶ", + "âĶ Ķ", + "Ġ ìĥ¤", + "Ġìĥ ¤", + "ä» ®", + "à¸ģาร à¹Ģล", + "Ġм ÑĥлÑĮ", + "ĠмÑĥ лÑĮ", + "Ġ 度", + "Ġåº ¦", + "ĠH uyá»ĩn", + "в ен", + "ве н", + "Ġl Æ°á»Ľi", + "Ġprovoz u", + "Ñĥ ÑĢÑĥ", + "ÑĥÑĢ Ñĥ", + "ÑĢ ÑĸÑĹ", + "ÑĢÑĸ ÑĹ", + "Ġçocu ÄŁ", + "ัà¸IJ à¸ļาล", + "ÙĦ ÙĬÙĩ", + "ÙĦÙĬ Ùĩ", + "Ġ[âĢ¦] ...Ċ", + "åİŁ å§ĭ", + "Ġs klad", + "Ġsk lad", + "Ġskl ad", + "Ġسپ تاÙħبر", + "ĠTom áš", + "Ġس ÙĪاÙĦ", + "ĠسÙĪ اÙĦ", + "çģ Ń", + "ãĤĵ ãģ©", + "на знаÑĩ", + "ĠÄij Ä©a", + "ĠudÄĽl at", + "Ġà¤Ĩ दम", + "Ġà¤Ĩद म", + "ï¼ ¬", + "ι νÏĮ", + "ιν ÏĮ", + "iÅŁ leri", + "ÄIJ ây", + "Ġرس اÙĨÙĩ", + "ع اÙħ", + "عا Ùħ", + "ãĥ¼ãĥij ãĥ¼", + "Ġdo prov", + "Ġdop rov", + "ĠмÑĸÑģ ÑĤо", + "ĠмÑĸÑģÑĤ о", + "ï¼ ¥", + "ел Ñĸг", + "елÑĸ г", + "ائ ز", + "ä¸į äºĨ", + "ĠÐIJлекÑģанд ÑĢ", + "ĠвÑĢем ен", + "Ġdve ÅĻe", + "Ġch ảy", + "Ġ otel", + "Ġo tel", + "Ġot el", + "èĤ¯ å®ļ", + "ĠÑĥÑĤ веÑĢжд", + "ĠÐļом п", + "ĠÐļо мп", + "Ġ ëĤĺëĿ¼", + "ĠëĤĺ ëĿ¼", + "ĠвÑĸдбÑĥва ÑĶÑĤÑĮÑģÑı", + "ãĢģ ãĢİ", + "ĠkarÅŁÄ± lık", + "Ġl ẫn", + "çħ Ļ", + "ع کس", + "å¼ ¥", + "Ġte cr", + "Ġtec r", + "Ġne od", + "Ġneo d", + "æĪIJ çĤº", + "åħ¥ ãĤĬ", + "ĠÐŁ ÑĢод", + "ĠÐŁÑĢ од", + "ĠÐŁÑĢо д", + "ĠÏĢ Ïģά", + "ื à¸Ńà¸Ķ", + "ืà¸Ń à¸Ķ", + "ÑģÑĤ аÑĤи", + "ÑģÑĤа ÑĤи", + "е ноÑĹ", + "ен оÑĹ", + "ено ÑĹ", + "Ñĩи Ñģл", + "ÑĩиÑģ л", + "羣 æŃ£", + "Ġ ราà¸Ħ", + "Ġร าà¸Ħ", + "Ñĥ ÑĢе", + "ÑĥÑĢ е", + "ĠØ´ اÙĩد", + "ĠشاÙĩ د", + "ا عر", + "اع ر", + "Ġê²½ íĹĺ", + "à¸Ļ à¸Ħ", + "ãĥį ãĥ«", + "ÏĢοÏħ λοÏĤ", + "Ġम à¤Ī", + "ìĬ¤ ì½Ķ", + "itel né", + "å¼Ģ æĶ¾", + "ç į¨", + "çį ¨", + "ĠpÅĻ ech", + "ĠpÅĻe ch", + "ú Äįast", + "å¢ ĵ", + "Ġ å½±", + "Ġå½ ±", + "ÙĨ ساÙĨ", + "ÙĨس اÙĨ", + "ÙĨسا ÙĨ", + "Ġд вад", + "Ġдв ад", + "Ġдва д", + "Ġи деÑĤ", + "Ġиде ÑĤ", + "Ġид еÑĤ", + "Ġпод клÑİÑĩ", + "Ġподк лÑİÑĩ", + "íĬ¹ë³Ħ ìĭľ", + "B Ãłi", + "Å¡ ku", + "Å¡k u", + "i lerden", + "iler den", + "åıĺ å¾Ĺ", + "ëıĻ ìķĪ", + "Ġpostup nÄĽ", + "ĠиÑĤ ог", + "Ġd ůvodu", + "Ġdůvod u", + "siz lik", + "ÙĦ اÙĨ", + "ÙĦا ÙĨ", + "éĤ£ ç§į", + "ĠÑĩа Ñģа", + "ĠÑĩаÑģ а", + "ä¸į æĸŃ", + "ĠØ®ÛĮ اباÙĨ", + "ĠاÙĦد اخ", + "ĠÑģÑĤоÑĢ Ñĸн", + "Ġì¶ľ ìĹ°", + "æ² Ł", + "Ġh ry", + "Ġhr y", + "ĠG Ãľ", + "ĠìĿ¸ 구", + "l ied", + "li ed", + "lie d", + "Ġع اÙĦÙĬØ©", + "ĠпÑĢед ваÑĢ", + "ан ной", + "åı¥ è¯Ŀ", + "éł ĵ", + "ë°Ķ ìĿ¼", + "ï¼ı /", + "ĠÙħخت صات", + "ëŀ «", + "ĠçalÄ±ÅŁ maları", + "ĠçalÄ±ÅŁmalar ı", + "ĠçalÄ±ÅŁma ları", + "Ġrepublik a", + "Ġ ì³", + "Ġì ³", + "ा )", + "Ġê±´ ê°ķ", + "Ġê³µ ëıĻ", + "èħ ¦", + "ĠìĦľ ë¡ľ", + "ĠпÑĢовод иÑĤÑĮ", + "ĠдейÑģÑĤв иÑĤелÑĮно", + "v eç", + "ve ç", + "Ø« اÙĦ", + "Ġgöster ir", + "ır lar", + "ĠÑģам Ñĭм", + "á lo", + "ál o", + "é¢ij 次", + "à¥Ī à¤Ĺ", + "ا دÙħ", + "اد Ùħ", + "çĮ ª", + "ĠS ản", + "Ġ çı", + "Ġç ı", + "Ġl ety", + "Ġle ty", + "Ġlet y", + "Ġrep ublice", + "Ġrepublic e", + "æĿ¥ èĩª", + "Ġv ết", + "Ġbi rik", + "Ġbir ik", + "Ġbiri k", + "Ġm ekt", + "Ġme kt", + "Ġmek t", + "ĠاÙĦ ÙĪÙģ", + "ĠاÙĦÙĪ Ùģ", + "Ġj ich", + "Ġji ch", + "ä¸Ģ 覧", + "éľ² åĩº", + "ĠH iá»ĩn", + "ĠHi á»ĩn", + "Ġd iá»ĩt", + "ĠÑħ ÑĢиÑģÑĤи", + "åĪļ æīį", + "k ate", + "ka te", + "kat e", + "Ġb azen", + "Ġba zen", + "Ġbaz en", + "ĠurÄįit ÄĽ", + "ĠurÄį itÄĽ", + "Ġumož ÅĪuje", + "é¡ĺ ãģĦ", + "/Q ÄIJ", + "Ġmen Å¡ÃŃ", + "ÏĥκεÏħ ή", + "ĠÑĨеÑĢк ов", + "ĠÑĨеÑĢ ков", + "Ġ è´Ń", + "Ġè´ Ń", + "ок ÑĢаÑĤи", + "ĠÑĢоз к", + "α νοÏħ", + "αν οÏħ", + "Ġyön etic", + "Ġyönet ic", + "Ġol madan", + "Ġolm adan", + "Ġolma dan", + "åĨľ ä¸ļ", + "Ġë°Ķ ëŀĮ", + "çĵ ľ", + "ÑĪ аеÑĤÑģÑı", + "ÑĪа еÑĤÑģÑı", + "ĠÐļ оÑģÑĤ", + "ĠÐļо ÑģÑĤ", + "ĠÙħ عت", + "ĠÙħع ت", + "Ġ à¸ŀล", + "Ġà¸ŀ ล", + "ĠÙħتÙģ اÙĪت", + "ãĤī ãģı", + "èĪ Ĺ", + "Ġتع رÛĮÙģ", + "éīĦ éģĵ", + "Ġpé Äįe", + "ì» µ", + "Ġпод ÑĢаз", + "Ġбан кÑĥ", + "Ġбанк Ñĥ", + "Ä°S Ä°", + "æ¡ IJ", + "à¹Ĥ รà¸Ħ", + "à¹Ĥร à¸Ħ", + "ĠØŃØ° Ùģ", + "Ġ ë£", + "Ġë £", + "л иж", + "ли ж", + "Ġ ìĤ°ìĹħ", + "ĠìĤ° ìĹħ", + "ĠпÑĢи ÑĩинÑĭ", + "ĠпÑĢиÑĩин Ñĭ", + "ĠпÑĢиÑĩ инÑĭ", + "Ġна зна", + "Ġназ на", + "ãĥª ãĤ¹ãĥĪ", + "ãĥªãĤ¹ ãĥĪ", + "ìłķ ë¶Ģ", + "Ïĥ ÏĨα", + "ÏĥÏĨ α", + "å¦ ĥ", + "Ġголов и", + "Ġгол ови", + "ëIJĺìĹĪ ìĬµëĭĪëĭ¤", + "Ġεν ÏĮÏĤ", + "ãĤ¤ ãĥ³ãĤ¿", + "ãĤ¤ãĥ³ ãĤ¿", + "Ġs lun", + "Ġsl un", + "Ġslu n", + "ëł ´", + "ĠÑģÑĥÑīеÑģÑĤв ÑĥеÑĤ", + "ĠÑģÑĥÑīе ÑģÑĤвÑĥеÑĤ", + "з аб", + "за б", + "æĽ´ åĬł", + "Ġблагод аÑĢÑı", + "ĠëĮĢ 구", + "è¾ ħ", + "ห าà¸ģ", + "หา à¸ģ", + "Ġ æİ¥", + "Ġæİ ¥", + "ëĮĢ 를", + "人 ç±»", + "j eme", + "je me", + "jem e", + "åĪĨ å¸ĥ", + "ìŀ¥ ìĿĢ", + "Ġдопом оги", + "ìĻĦ ë£Į", + "o sy", + "os y", + "èĭ± éĽĦ", + "Ġ ÙĦس", + "ĠÙĦ س", + "म ह", + "Ġ à¸ģำ", + "Ġà¸ģ ำ", + "Ġداش تÙĨ", + "Ġداشت ÙĨ", + "Ń ìłľ", + "Ä° ng", + "Ä°n g", + "ĠTh Æ°á»Ŀng", + "íĻ Ģ", + "Ñį ÑĦ", + "íķ´ ìļĶ", + "ĠÐľ Ñĸж", + "ĠÐľÑĸ ж", + "еÑĢÑĸ га", + "еÑĢÑĸг а", + "Ġε á¼", + "à¹ģ สà¸ĩ", + "à¹ģส à¸ĩ", + "ãĥĢ ãĤ¤", + "Ġc esty", + "Ġce sty", + "Ġces ty", + "Ġcest y", + "Ġpr ázd", + "Ġprá zd", + "第 ä¸Ģ次", + "第ä¸Ģ 次", + "ĠÙĩÙħ سر", + "Ġz ev", + "Ġze v", + "Âł E", + "ĠBeled iyesi", + "ĠBelediye si", + "ĠпÑĢоп ози", + "Ġanlay Ä±ÅŁ", + "Âł Ùħ", + "ĠÑĢаÑģÑģ ÑĩиÑĤ", + "ĠاÙĦØ£Ùħ رÙĬÙĥÙĬØ©", + "ĠاÙĦØ£ÙħرÙĬÙĥÙĬ Ø©", + "Ġž ena", + "Ġže na", + "Ġžen a", + "d eniz", + "den iz", + "Ġn oci", + "Ġno ci", + "Ġnoc i", + "Ġst ál", + "ุ ย", + "주 ìĨĮ", + "Ġз еÑĢ", + "Ġ ìĨĮê°ľ", + "ĠìĨĮ ê°ľ", + "Ġkh ẳng", + "at ıcı", + "atı cı", + "ÄĽ ž", + "ĠÑĩ ÑĥÑĤÑĮ", + "Ġc áºŃu", + "ĠاطÙĦ اع", + "æµ ħ", + "Ġst rav", + "Ġstr av", + "Ġstra v", + "ĠSan ayi", + "Ġ طبÙĬ", + "ĠØ· بÙĬ", + "Ġطب ÙĬ", + "Ġhız la", + "Ïİ Î½Î±", + "Ïİν α", + "à¤¿à¤ľ ल", + "ÙħØŃ Ùħد", + "à¸ļ à¸ģ", + "Ġvzdál en", + "ĠÑĤак ими", + "ĠÑĤа кими", + "ĠÑĤаким и", + "ãĢĤ ãģĿãģĹãģ¦", + "Ġka lp", + "Ġkal p", + "Ġкож ного", + "Ðł µ", + "ÙĦع اب", + "ĠÙħ ÙĪÙĨ", + "ĠÙħÙĪ ÙĨ", + "ĠìĿ¼ ìĿĦ", + "Ġ ë°ĶìĿ´", + "Ġë°Ķ ìĿ´", + "Ġme kan", + "Ġmek an", + "ĠجاÙħ ع", + "Ġجا Ùħع", + "ĠÙĨ Ùģت", + "ĠÙĨÙģ ت", + "ĠاÙĦ سÙħ", + "ĠاÙĦس Ùħ", + "л ÑĭÑħ", + "лÑĭ Ñħ", + "èĥĮ æĻ¯", + "Ġê²ĥ ëıĦ", + "ĠìĤ´ ìķĦ", + "y dı", + "yd ı", + "Ġна веÑĢ", + "Ġнав еÑĢ", + "åŃIJ ãģ¯", + "l uluk", + "lu luk", + "Ġhá»Ĺ n", + "Ġ Ø´Ùģ", + "ĠØ´ Ùģ", + "Ġع ÙĦت", + "ĠعÙĦ ت", + "à¸Ħร าม", + "ĠÎļ ÏįÏĢ", + "Ġà¹Ģม ษายà¸Ļ", + "ÙĨد ÙĤ", + "ĠÑĥ ÑģÑĤÑĢа", + "ĠÑĥÑģÑĤ ÑĢа", + "ĠÑĥÑģ ÑĤÑĢа", + "ĠÎĵ εν", + "ĠÐĨ ван", + "ĠP hong", + "ĠPh ong", + "ĠPhon g", + "家 çļĦ", + "ĠÐIJ лекÑģ", + "ĠÐIJле кÑģ", + "ĠÐIJл екÑģ", + "Ġзб еÑĢÑĸг", + "ĠÅŁark ı", + "ĠÅŁar kı", + "ĠظرÙģ ÛĮت", + "ĠÙħ عÙĨÛĮ", + "ĠÙħع ÙĨÛĮ", + "ĠÙħعÙĨ ÛĮ", + "Ġ лов", + "Ġл ов", + "ĠìĤ ¶", + "èħ IJ", + "Ġ å¯Į", + "Ġå¯ Į", + "E RG", + "ER G", + "ĠÑģÑĤо имоÑģÑĤÑĮ", + "ÅĻ et", + "ÅĻe t", + "à¥ī य", + "à¹Ī าร", + "à¹Īา ร", + "ĠارÙĪÙ¾ ا", + "Ġб ÑĢоÑģ", + "ĠоÑĤ ноÑģÑıÑĤ", + "ĠоÑĤноÑģ ÑıÑĤ", + "ĠÎŁ κ", + "ÑĨÑĮ кий", + "ÏĬ κ", + "ãģĤãĤĬ ãģ¾ãģĽãĤĵ", + "ĠÑĥ ник", + "ĠÄij iá»ĥn", + "ĠÄiji á»ĥn", + "Ġvý zkum", + "Ġh ứ", + "Ġhá» ©", + "Ġ ÙĪات", + "ĠÙĪ ات", + "ĠÙĪا ت", + "Ġ å¹³æĸ¹", + "Ġå¹³ æĸ¹", + "Ïħ μ", + "ãĤĴ 使", + "εί ÏĦαι", + "两 人", + "Ġ åĮ»", + "ĠåĮ »", + "ÑĢаÑĤ иÑĤÑĮ", + "ÑĢаÑĤи ÑĤÑĮ", + "ĠاÙĦ اÙĨت", + "ĠاÙĦاÙĨ ت", + "ãģ® 人", + "ر Ø´", + "ĠТ ÑĥÑĢ", + "r nÄĽ", + "rn ÄĽ", + "天 天", + "ม าร", + "มา ร", + "Ġort alama", + "Ġorta lama", + "ĠпеÑĢе пиÑģ", + "ĠпеÑĢеп иÑģ", + "ĠìĥĿ ìĤ°", + "å¿ Ĩ", + "í ĩ´", + "ï¼Į 该", + "éĮ ¢", + "ÏĢα ίδ", + "ĠмеÑĢ опÑĢи", + "Ġг ÑĢав", + "ĠгÑĢа в", + "ĠгÑĢ ав", + "ÃĶ ng", + "Ġ æ¤", + "Ġæ ¤", + "ĠاÙĦد ÙĪÙĦØ©", + "ĠاÙĦدÙĪÙĦ Ø©", + "Ġ оÑģÑĮ", + "Ġо ÑģÑĮ", + "ĠоÑģ ÑĮ", + "å¥ Ķ", + "Ġgüven li", + "íķĺ ìĭł", + "Ġ éĬ", + "Ġé Ĭ", + "éŁ³ æ¨Ĥ", + "Ġmed ya", + "Ġب ÙĨا", + "ĠبÙĨ ا", + "а ма", + "ам а", + "Ġ ãĤŃãĥ£", + "ĠãĤŃ ãĥ£", + "èĹ ¥", + "l arım", + "lar ım", + "ları m", + "ĠT iếng", + "iyor lar", + "ï¼ ¢", + "æĶ Ŀ", + "Ñĸй ÑģÑĮкоÑĹ", + "Ġyet iÅŁtir", + "ĠyetiÅŁ tir", + "ĠÙ¾ سر", + "Ġپس ر", + "ãĤī ãģĹ", + " ļ", + "ìĥ ¤", + "à¸Ķ าห", + "à¸Ķา ห", + "ĠتØŃص ÛĮÙĦ", + "Ġб енз", + "éģ £", + "Ġнаб лÑİ", + "ä½ĵ ç³»", + "ãĥ¯ ãĤ¤ãĥĪ", + "Âł ÂłĠ", + "³³ Ġ", + "书 è®°", + "ĠMü hendis", + "p lor", + "pl or", + "l az", + "la z", + "лÑı ли", + "Ġpom áh", + "Ġб лиж", + "Ġбл иж", + "Ġбли ж", + "ĠÑĩиÑģ ла", + "Ġubyt ovánÃŃ", + "ÑĢаÑĤ но", + "Ġtr Äĥm", + "Ġاب راÙĩ", + "át ka", + "Ġiç indeki", + "Ġiçin deki", + "Ġiçinde ki", + "ั à¸ļà¸Ļ", + "ัà¸ļ à¸Ļ", + "ĠاÙħ ÛĮد", + "n ave", + "na ve", + "nav e", + "e cut", + "ec ut", + "å°± åľ¨", + "Ġt radi", + "Ġtr adi", + "Ġtrad i", + "Ġtra di", + "Ø· ÙĦÙĤ", + "Ø·ÙĦ ÙĤ", + "ãĤ¦ ãĤ©", + "Ġkhu ôn", + "ìĬ¤ ë¡ľ", + "ÏĦ ÎŃÏģα", + "ÏĦÎŃ Ïģα", + "ĠÏĥ κο", + "ĠÏĥκ ο", + "ë§ Ľ", + "ĠÙģ ÙĨÛĮ", + "ĠÙģÙĨ ÛĮ", + "à¹Į à¹Ģà¸ŀ", + "ĠاÙĦع ظ", + "Ġth ôn", + "기 ìĿĺ", + "Ġภ¿", + "Ñĥ ÑİÑĤÑģÑı", + "ÑĥÑİÑĤ ÑģÑı", + "ĠÙħ کاÙĨ", + "ĠÙħÚ© اÙĨ", + "Ġ âĹİ", + "ĠâĹ İ", + "Ġ çľģ", + "Ġçľ ģ", + "Ġ åį¡", + "Ġåį ¡", + "ĠпеÑĢ ÑĪий", + "ĠпеÑĢÑĪ ий", + "ĠíĽĦ ë³´", + "Ġآر اÙħ", + "ãģĮ ãģĦ", + "ย าà¸Ļ", + "ยา à¸Ļ", + "μ ει", + "με ι", + "ĠM áy", + "Ġz ů", + "Ġpodp oru", + "Ġpodpor u", + "ì» ¨", + "Ñģ ÑĤÑĢи", + "ÑģÑĤ ÑĢи", + "ÑģÑĤÑĢ и", + "ÏĢ ÏĦÏīÏĥη", + "Ф ÐĽ", + "åĵª éĩĮ", + "ĠпеÑĢв ÑĥÑİ", + "Ġyer inde", + "Ġyeri nde", + "ĠزÛĮ با", + "ĠزÛĮب ا", + "Ġodst ran", + "à¥Ģ à¤Ĺ", + "ĠÑĢÑĸз нÑĸ", + "Ïģ ηÏĥη", + "Ïģη Ïĥη", + "âĢĮاÙĦÙħÙĦ ÙĦÛĮ", + "ع اد", + "عا د", + "à¥įप ष", + "ÑŁ N", + "ï½ Ľ", + "ãĥ¼ ãĥľ", + "ãĥ¼ãĥ ľ", + "è´Ń ä¹°", + "ĠìĿ¸ê¸° ê¸Ģ", + "ĠÙħÛĮ Ø´ÙĪد", + "ĠбезопаÑģ ноÑģÑĤи", + "ĠνεÏĨ οκ", + "ãģ« ãģ¨", + "ĠÑĨеÑĢк ви", + "ت Ùĥ", + "ĠH Ãłng", + "ĠHÃł ng", + "ĠHÃłn g", + "ĠÙĦ ÙĦس", + "ĠÙĦÙĦ س", + "ĠνεÏĨοκ άλÏħÏĪηÏĤ", + "r aman", + "ra man", + "ram an", + "rama n", + "Ġvy vol", + "n iÄį", + "ni Äį", + "ر اÙĨÙĩ", + "راÙĨ Ùĩ", + "را ÙĨÙĩ", + "Ġp eÅŁ", + "Ġpe ÅŁ", + "ãĥ« ãĤ¯", + "å´ ĩ", + "Ġim kân", + "åĮ» çĸĹ", + "Ġप à¥Ŀ", + "άν νηÏĤ", + "Ġ جÛĮ", + "Ġج ÛĮ", + "Ġp roje", + "Ġpro je", + "Ġpr oje", + "Ġproj e", + "Ġül kenin", + "Ġülk enin", + "Ġülke nin", + "ĠK ew", + "ĠKe w", + "ĠاÙĦÙħ Ùģ", + "Ø£ Ùĥ", + "çĻº 表", + "Ġ δÏħ", + "Ġδ Ïħ", + "Ġ åĽ½å®¶", + "ĠåĽ½ 家", + "ĠKiÅŁ isel", + "ãĥ³ ãĤ¬", + "Ġzpráv a", + "V iá»ĩc", + "e rif", + "er if", + "eri f", + "Ġstrán ky", + "éļ ł", + "è¼ ķ", + "к оз", + "ко з", + "Ġस à¤ľ", + "Ùĩد اÙģ", + "l oub", + "lo ub", + "lou b", + "à¸łà¸²à¸ŀ ยà¸Ļà¸ķร", + "Ġíķł ìĿ¸", + "ĠÄIJ Ãło", + "ĠÄIJÃł o", + "ĠÙĨاØŃ ÛĮÙĩ", + "(= )", + "ĠÅŀ ampiyon", + "Ġp iÅŁ", + "Ġpi ÅŁ", + "Ġ Ø°Ùĩ", + "ĠØ° Ùĩ", + "ॠ¯", + "ĠÑģÑĢед ÑģÑĤво", + "ĠÑģÑĢедÑģÑĤв о", + "Ġ à¹Ģวลา", + "Ġà¹Ģว ลา", + "ĠÑĩ Ñĥж", + "Ġver ileri", + "Ġveri leri", + "Ġveriler i", + "ĠÚ© ارت", + "Ġکار ت", + "а ви", + "ав и", + "Ġà¤ķर व", + "Ġres tau", + "Ġrest au", + "Ġresta u", + "ê°ľ ìĽĶ", + "Ġм иÑĢов", + "Ġми ÑĢов", + "ĠмиÑĢ ов", + "ì° ®", + "ĠnÄĽjak ý", + "Ġses siz", + "Ġsess iz", + "اء ات", + "ĠÐĹ Ð°Ñħ", + "ĠÐĹа Ñħ", + "Ñı ÑīиÑħ", + "ÑıÑī иÑħ", + "п ÑĢ", + "Ġпод алÑĮ", + "Ġпода лÑĮ", + "ĠопÑĢедел иÑĤÑĮ", + "ॠŃ", + "Ġ رÙģ", + "Ġر Ùģ", + "幸 ç¦ı", + "à »", + "Ġ vÄĽdom", + "ĠvÄĽ dom", + "ĠvÄĽd om", + "ĠÑģвид еÑĤелÑĮ", + "ĠÎĵ οÏħ", + "ılıģı yla", + "ılıģ ıyla", + "çĻ» éĮ²", + "Ġä¸ĭ è·Į", + "Ġп лÑİ", + "Ġпл Ñİ", + "н од", + "но д", + "ĠØ£ جÙĦ", + "Ġأج ÙĦ", + "Ġà¤ķ थ", + "éĥ½ ä¸į", + "Ġs ene", + "Ġse ne", + "Ġsen e", + "Ġp ÄĽ", + "è¨Ī åĬĥ", + "Ġа Ñĥд", + "Ġод ном", + "Ġодно м", + "Ġ ä¸ĩåħĥ", + "Ġä¸ĩ åħĥ", + "ĠÙĪ Ùħا", + "ĠÙĪÙħ ا", + "ĠÐĶ ÑĢÑĥг", + "èµ· ãģĵ", + "в аÑİÑĤÑģÑı", + "ва ÑİÑĤÑģÑı", + "ваÑİÑĤ ÑģÑı", + "л аÑĤÑĥ", + "ла ÑĤÑĥ", + "лаÑĤ Ñĥ", + "Ġ تÙĪÙĨ", + "Ġت ÙĪÙĨ", + "ĠتÙĪ ÙĨ", + "Ñī аÑı", + "Ñīа Ñı", + "ή λ", + "ĠÐŁ ÑĢа", + "ĠÐŁÑĢ а", + "Ġاست رات", + "Ġاستر ات", + "ิà¸Ļ à¹Ģà¸Ķ", + "à¥įà¤Ĺ त", + "Âł з", + "Ġп олоÑĤ", + "Ġпо лоÑĤ", + "Ġпол оÑĤ", + "æ® ĸ", + "æ¡ Ĩ", + "ĠS istem", + "ĠSi stem", + "ĠSist em", + "Ġr uku", + "Ġru ku", + "Ġruk u", + "ãĥĥ ãĤ«ãĥ¼", + "ĠобÑıз ан", + "Ġkö ÅŁ", + "Ġad ını", + "Ø´Ùħ اÙĦÛĮ", + "na ÄįenÃŃ", + "naÄį enÃŃ", + "Ġ .ï¼ı", + "Ġ. ï¼ı", + "Ġ å®ĺ", + "Ġå® ĺ", + "Ġtoplum sal", + "èª ¤", + "ĠبÙĩ بÙĪد", + "ÑģÑĤв еннаÑı", + "ÑģÑĤвен наÑı", + "ĠØ¢ Ù¾", + "ĠجÙĦ سÙĩ", + "ĠجÙĦس Ùĩ", + "ãĢĢ ï½", + "åĵ Ń", + "æīĢ å±ŀ", + "æĴ ®", + "ì¢ Ģ", + "Ġ ει", + "Ġε ι", + "ì¹ĺ 를", + "Ġ ê³¼ìłķ", + "Ġê³¼ ìłķ", + "u uml", + "uum l", + "uu ml", + "δ ά", + "Ġ زد", + "Ġز د", + "ìĽIJ ìĿĦ", + "ĠvÄĽ cÃŃ", + "ĠvÄĽc ÃŃ", + "د Ø«", + "Ġs anki", + "Ġsan ki", + "Ġsank i", + "åĥı æĺ¯", + "л аÑĢа", + "ла ÑĢа", + "ìĤ¬ ìĿ´", + "ãĤı ãĤĮãģŁ", + "ãĤıãĤĮ ãģŁ", + "ĠÄij ón", + "ĠÄijó n", + "åIJ¯ åĬ¨", + "Ġgi Ãłnh", + "ĠgiÃł nh", + "Ġkır mızı", + "Ø® Ùħ", + "æIJ į", + "åĪĩ ãĤĬ", + "ãĤµ ãĥ¼ãĥĵãĤ¹", + "Ùĩ ار", + "Ùĩا ر", + "Ø° Ùĥر", + "о ÑĢоз", + "оÑĢ оз", + "оÑĢо з", + "à¥Īà¤Ĥ ।ĊĊ", + "à¥Īà¤Ĥ। ĊĊ", + "à¥Īà¤Ĥ।Ċ Ċ", + "ĠíĻĪ íİĺìĿ´ì§Ģ", + "ĠÙĥ بÙĬرة", + "ĠÙĥبÙĬر Ø©", + "н ина", + "ни на", + "нин а", + "íķĺ ìļ°", + "å¼ķçĶ¨ é¢ij次", + "ॠ®", + "ĠбаÑĤÑĮ кÑĸв", + "à¸Ł à¸Ńร", + "ี .", + "ìłĿ íĬ¸", + "éĺħ读 次æķ°", + "Ġit ir", + "Ġi tir", + "ÑĪ ин", + "ÑĪи н", + "ĠV áºŃy", + "çĤ ®", + "ла год", + "лаг од", + "Ø´ÙĨ اس", + "á» IJ", + "ĠÑı год", + "Ġì¤ij ìķĻ", + "ر ÙĬØ·", + "رÙĬ Ø·", + "ĠìĪĺ íĸī", + "Ġ ä¸ĢèĪ¬", + "Ġä¸Ģ èĪ¬", + "ĠÑħви лин", + "ĠÐľÐ¾Ð¶ но", + "ĠнаÑĩ але", + "Ġод нов", + "Ġодно в", + "ĠÃľ ç", + "ÑĨион нÑĭй", + "Ġ ìļķ", + "Ġìļ ķ", + "æ¼ Ĥ", + "å² ³", + "ت دÙī", + "تد Ùī", + "κ ηÏĤ", + "κη ÏĤ", + "âĢĻ nda", + "âĢĻn da", + "ï¼IJ ï¼IJ", + "èª ī", + "é§ħ å¾ĴæŃ©", + "ĠÙģرز ÙĨد", + "åħ¬ è·¯", + "α ÏĥίαÏĤ", + "αÏĥ ίαÏĤ", + "αÏĥία ÏĤ", + "าà¸ĵ าà¸Ī", + "ëij ¥", + "Ġ ÏĢοι", + "ĠÏĢ οι", + "ĠÏĢο ι", + "Ġب داÙĨ", + "Ġبد اÙĨ", + "к ап", + "ка п", + "ĠìŀĪ ëĬĶëį°", + "ĠìŀĪëĬĶ ëį°", + "ï¼Į æѤ", + "à¸Ľà¸£à¸°à¹Ĥย à¸Ĭà¸Ļ", + "ĠÚ©Ø´ÙĪر ÙĩاÛĮ", + "ุ ส", + "ãģ¹ ãģį", + "ĠÑģам Ñĭй", + "Ġп лÑı", + "Ġпл Ñı", + "Ġб ед", + "人 æīį", + "ส หร", + "ู à¸ķ", + "Ġkullan ımı", + "Ġkullanım ı", + "íķĻ ëħĦ", + "æ²» çĸĹ", + "ãĢĤ ä¸įè¿ĩ", + "ãĢĤä¸į è¿ĩ", + "æ£ ļ", + "ëĤ¨ ëıĦ", + "ĠØ¢ تش", + "Ïĩ ÎŃÏĤ", + "Ġfunk ci", + "Ġfunkc i", + "н ообÑĢаз", + "но обÑĢаз", + "à¥ĭ फ", + "Ġk aps", + "Ġka ps", + "Ġkap s", + "าษ à¸İ", + "( ع", + "ï¼Į åĬł", + "à¹Ĭ à¸ģ", + "ĠÙĩ Ø´", + "Ġدر ÙĪÙĨ", + "Ġ меÑĩ", + "Ġм еÑĩ", + "ĠпÑĢеж де", + "à¹Ī ย", + "Ġار شد", + "า à¹Ģล", + "æ¯Ķ è¼ĥ", + "ĠØ° کر", + "Ġ æĿ¡", + "ĠæĿ ¡", + "Ð Ĭ", + "Ñĥ кÑĢаÑĹн", + "ÙĬÙĨ ات", + "ÙĬÙĨا ت", + "ì¢ ĭ", + "д иÑı", + "ди Ñı", + "ÏĦ Ïģι", + "ÏĦÏģ ι", + "ĠÐļ аз", + "ĠÐļа з", + "ÙĤ ÙĦاÙĦ", + "ÙĤÙĦ اÙĦ", + "_ ,,", + "_, ,", + "ĠÚĨ ت", + "ĠìĿ¼ ìłķ", + "ĠÐŁ ÑĢоÑĦ", + "ĠÐŁÑĢ оÑĦ", + "ĠÐŁÑĢо ÑĦ", + "æ³ Ľ", + "Ġdruh ý", + "Ñĩ Ñĥк", + "ÑĩÑĥ к", + "l edik", + "le dik", + "led ik", + "ledi k", + "Ġhey ec", + "Ñĭ вал", + "Ñĭв ал", + "Ñĭва л", + "ĠD üny", + "ĠDün y", + "Ġ çĻº", + "ĠçĻ º", + "ĠpÅĻ átel", + "β άλ", + "βά λ", + "Ġ غر", + "Ġغ ر", + "ëĭ¨ ì²´", + "ìĽ¨ ëĶĶìĭľ", + "ÑĢаÑī ениÑı", + "н ÑĨиклопед", + "Ġpodnik atel", + "Ġìĭł ìŀħ", + "ĠÙģر Ø¢", + "и лиÑģÑı", + "или ÑģÑı", + "Ġol umlu", + "à¥įष मत", + "ĠÙħت خصص", + "й ом", + "ؤ اÙĦ", + "ĠÐĿ аÑĤ", + "ĠÐĿа ÑĤ", + "ìĺ¤ ëĬĶ", + "ĠMüdür lÃ¼ÄŁÃ¼", + "ĠH Ãłnh", + "ĠHÃł nh", + "ĠHÃłn h", + "Ġس ابÙĤ", + "ï¼ī çļĦ", + "ĠQu ý", + "lád ánÃŃ", + "ládá nÃŃ", + "Ġ ìļ´ëıĻ", + "Ġìļ´ ëıĻ", + "ĠÐĺ Ñħ", + "è« ¾", + "lıģ ının", + "lıģını n", + "lıģın ın", + "l il", + "li l", + "u Äį", + "ĠÑĩем пÑĸон", + "ÑĤ ож", + "ÑĤо ж", + "Ġ ä½Ľ", + "ни ÑĨе", + "ниÑĨ е", + "ĠпеÑĢв ого", + "Ġ Ñģом", + "ĠÑģ ом", + "ĠÑģо м", + "Ïĩ Ïİ", + "ÅĻ ik", + "ÅĻi k", + "иÑĤелÑĮ ÑģÑĤва", + "ĠÄ° ki", + "Ġask eri", + "Ġasker i", + "c isi", + "ci si", + "cis i", + "Ġjed nÃŃm", + "Ġjedn ÃŃm", + "Ġsta nice", + "Ġstan ice", + "èĤ¡ 票", + "à¸ľ ม", + "T ừ", + "Å¡ ak", + "ÏĦ ία", + "ÏĦί α", + "м ами", + "ма ми", + "ãģĮ åĩº", + "μο ί", + "м аÑĶ", + "ма ÑĶ", + "ëł¥ ìĿ´", + "ãĤĦ ãģ£ãģ¦", + "Ġ å¼µ", + "Ġå¼ µ", + "ØĮ Ċ", + "Ġ »Ċ", + "Ġ» Ċ", + "ا جات", + "اج ات", + "á½ ³", + "æĻĤ ãģ®", + "Ġп окол", + "Ġпо кол", + "Ġпок ол", + "ÑĸÑĤ еÑĤ", + "Ġíķ´ ê²°", + "Ġde dim", + "Ġded im", + "Ġdedi m", + "ĠÑĤ веÑĢд", + "Ġжен Ñīина", + "ĠженÑīин а", + "ед ини", + "еди ни", + "един и", + "ĠÙ¾ ÛĮÚ©", + "ĠÙ¾ÛĮ Ú©", + "iver site", + "ivers ite", + "iversit e", + "ĠآسÛĮ اب", + "ĠÑħаÑĢакÑĤеÑĢиÑģÑĤи ки", + "ĠØ£ÙĨ Ùĩا", + "ĠØ£ÙĨÙĩ ا", + "ĠÑĥкÑĢаÑĹн ÑģÑĮкоÑĹ", + "ĠاختÙĦ اÙģ", + "Ġاخت ÙĦاÙģ", + "Ġt ez", + "Ġte z", + "Ïģ εÏħ", + "Ïģε Ïħ", + "Ġkon umu", + "Ġkonu mu", + "Ġkonum u", + "ĠÑĤеÑħ нÑĸ", + "м Ñĸв", + "мÑĸ в", + "èĬ ¯", + "ĠÏĥ ελ", + "ĠÏĥε λ", + "Ä ¢", + "μ ιÏĥ", + "μι Ïĥ", + "ี à¹īĊ", + "ีà¹ī Ċ", + "Ġm ne", + "Ġmn e", + "ĠоÑĤв еÑĩ", + "ĠÎ ī", + "Ġ éĩİ", + "Ġéĩ İ", + "Ġg ấp", + "ĠпÑĢодÑĥк ÑĤÑĭ", + "ĠпÑĢодÑĥкÑĤ Ñĭ", + "ĠС ÑĢед", + "Ñĸл лÑı", + "à¸ļ à¸Ńà¸ģ", + "ĠtÅĻÃŃ dy", + "Ġth á»ķ", + "Ġthá» ķ", + "ãĥĩãĤ£ ãĤ¢", + "ÏĢοι η", + "ν ει", + "νε ι", + "æĪij们 çļĦ", + "Ġprofes yonel", + "ĠRa kou", + "ĠRak ou", + "Ġвид но", + "Ġz by", + "Ġzb y", + "ĠØŃ Ø§ÙĦÛĮ", + "ĠØŃاÙĦ ÛĮ", + "Ġ é£Ł", + "Ġé£ Ł", + "ĠL Ãłm", + "ĠÚ¯ ست", + "ĠТ ип", + "ĠТи п", + "θ ι", + "á vis", + "áv is", + "ÙIJ ب", + "åı¯èĥ½ æĢ§", + "ĠÑģем ей", + "ãĤī ãĤĮãģ¦ãģĦãĤĭ", + "ãĤīãĤĮ ãģ¦ãģĦãĤĭ", + "ãĤīãĤĮãģ¦ ãģĦãĤĭ", + "ìĥģ íĴĪ", + "Ġ οÏħ", + "Ġο Ïħ", + "Ġà¤ħà¤Ĺ स", + "о лом", + "ол ом", + "оло м", + "γ ον", + "γο ν", + "ĠÑģв ÑıÑī", + "ĠÑģвÑı Ñī", + "æĵ ¦", + "Ïĥ ÏĦηκε", + "ÏĥÏĦη κε", + "èĢħ çļĦ", + "- à¤ķ", + "ÑĤ ии", + "ÑĤи и", + "ĠвизнаÑĩ еннÑı", + "åıij åĩº", + "д аÑħ", + "да Ñħ", + "ĠмоÑĢ Ñı", + "Ġмо ÑĢÑı", + "æī¾ åĪ°", + "ÙĦ ÙĪب", + "ÙĦÙĪ ب", + "èĬ Ļ", + "ĠÑĦак ÑĤ", + "æ¯į 亲", + "id lo", + "idl o", + "ĠSt ad", + "ĠSta d", + "Ñį й", + "ìĽIJ ìĿ´", + "à¤ı न", + "æķ´ 个", + "Ġf ık", + "ĠÙħ ات", + "ĠÙħا ت", + "ÏĢ ον", + "ÏĢο ν", + "Ġê²½ 기ëıĦ", + "Ġ경기 ëıĦ", + "Ġα δ", + "Ġvz pom", + "Ġn á»ĵi", + "ĠÙĨÙĤ اط", + "ожд ение", + "Ġз алÑĸз", + "Ġзал Ñĸз", + "Ġr ủi", + "è¾ °", + ".:.:.:.:.:.:.:.: .:.:.:.:.:.:.:.:", + "ĠM Ãľ", + "Ġk ari", + "Ġka ri", + "Ġkar i", + "ĠÑģ обÑĭ", + "ĠÑģо бÑĭ", + "ĠÑģоб Ñĭ", + "ìĸ´ ì§Ħ", + "ر ÙĬس", + "رÙĬ س", + "u bu", + "ub u", + "ĠØ® ÙĦÙģ", + "ĠØ®ÙĦ Ùģ", + "ظٹ Ø·", + "æĿ ī", + "Ġ æĻ®éĢļ", + "ĠæĻ® éĢļ", + "ĠÙħÙĪاط ÙĨØ©", + "ĠÑģÑĤ анÑĥ", + "ĠÑģÑĤан Ñĥ", + "ĠÑģÑĤа нÑĥ", + "Ġê·¸ëħĢ ìĿĺ", + "ĠÙĦ Ùĥرة", + "ĠÙĦÙĥ رة", + "Ġo sm", + "Ġos m", + "ĠÑĥ ÑĢож", + "е га", + "ег а", + "Ġf else", + "Ġfe lse", + "Ġfel se", + "æĢĿ èĢĥ", + "ãĢĮ ãģĪ", + "Ġн овиÑħ", + "Ġнов иÑħ", + "Ġно виÑħ", + "๠IJ", + "ü ml", + "üm l", + "ĠíĶ¼ íķ´", + "ìĿ¼ ë°ĺ", + "Ġtür ü", + "ĠмÑĸ ÑģÑĤÑĸ", + "ĠмÑĸÑģ ÑĤÑĸ", + "ĠмÑĸÑģÑĤ Ñĸ", + "Ġkažd é", + "ĠÙħس جد", + "ấ c", + "ĠÙģ Ú©ÛĮ", + "Ġ yasal", + "Ġy asal", + "Ġya sal", + "Ġyas al", + "å°± ç®Ĺ", + "ĠоблиÑĩ ÑĩÑı", + "ĠÙĦ دÙĬ", + "ĠÙĦد ÙĬ", + "ا بات", + "اب ات", + "ĠÑģп аÑģ", + "êµ° ìļĶ", + "Ġп ад", + "Ġпа д", + "Ġб ÑĢаÑĤ", + "ĠбÑĢа ÑĤ", + "éĩį 大", + "Ġdüzen lenen", + "G ün", + "Ġaplik ace", + "à¸Ń ห", + "Ġ çħ", + "Ġç ħ", + "ĠÑģоÑģÑĤ оиÑĤ", + "è¯Ħ ä»·", + "ĠD uy", + "ĠDu y", + "Ø· اÙĤ", + "ĠпÑĢид еÑĤÑģÑı", + "Ġt olik", + "Ġto lik", + "Ġtol ik", + "Ġob rov", + "Ġobr ov", + "ĠpÅĻip oj", + "Ġ Ä±ÅŁÄ±", + "Ġı ÅŁÄ±", + "Ú¯ ÙĪÛĮ", + "Ú¯ÙĪ ÛĮ", + "æľŁ å¾ħ", + "ип лом", + "Ġ ince", + "Ġin ce", + "Ġi nce", + "Ġinc e", + "ĠС об", + "ĠСо б", + "ен ÑĮÑİ", + "енÑĮ Ñİ", + "è§Ĵ èī²", + "Ġ à¸ķร", + "Ġà¸ķ ร", + "Ġb ại", + "Ġê°ĢëĬ¥ íķľ", + "ĠblÃŃ zk", + "Ġt ách", + "Ġtá ch", + "Ġtác h", + "Ġвид Ñĭ", + "Ġви дÑĭ", + "и Ñĩна", + "иÑĩ на", + "Ġvyž ad", + "ĠìĨIJ ìĿĦ", + "ĠÐĿ ÑĸмеÑĩ", + "ĠÐĿÑĸ меÑĩ", + "åŁº äºİ", + "ĠÐļ ÑĢи", + "Ġعز ÛĮز", + "t iler", + "til er", + "ti ler", + "tile r", + "е вÑĸ", + "ев Ñĸ", + "Ġmož nosti", + "Ġmožnost i", + "ب از", + "با ز", + "ĠìĤ¬ ë§Ŀ", + "Ġz ÅĻejmÄĽ", + "íĹ ¤", + "Ġürün leri", + "ĠÎł λη", + "а ки", + "ак и", + "ãĤĴ éĸĭ", + "a nou", + "an ou", + "ano u", + "åĽ½ ãģ®", + "ĠyaÅŁ anan", + "ĠyaÅŁan an", + "ĠÑģ евеÑĢ", + "Ġ æ©Ł", + "Ġæ© Ł", + "มาà¸ģ มาย", + "Ġíijľ íĺĦ", + "ร ส", + "Ġض ربÙĩ", + "Ġضر بÙĩ", + "ĠE vet", + "ĠEv et", + "ĠEve t", + "æĨ ¶", + "Ġد ÙĤÛĮÙĤ", + "ĠدÙĤÛĮ ÙĤ", + "Ġвозник нов", + "ìľł 머", + "Ġíijľ ìĭľ", + "ÛĮ Ø´ÙĨ", + "ÛĮØ´ ÙĨ", + "ãĥĹ ãĥ©", + "ÑĤ Ñİ", + "ÙĪ سÛĮ", + "ÙĪس ÛĮ", + ") ìĿ´", + "è¯ģ æĺİ", + "ãģ§ãģį ãģ¾ãģĻ", + "ìĪĺ ìĿĺ", + "çĸ Ĩ", + "ĠÙħ ÙģÙĩÙĪÙħ", + "оÑĩ аÑĤкÑĥ", + "ाल à¤ķ", + "æ¡ Ĥ", + "ĠоÑħ оÑĢони", + "ĠارزÛĮ ابÛĮ", + "Ġìµľ ëĮĢ", + "Ġtho ải", + "ĠЦенÑĤ ÑĢалÑĮ", + "Ġ çķĻ", + "Ġçķ Ļ", + "à¸Ľà¸£à¸° à¹Ģà¸łà¸Ĺ", + "æµ· å¤ĸ", + "ĠÅŀ u", + "íĻľ ëıĻ", + "ĠdvÄĽ ma", + "istrov stvÃŃ", + "Ġarac ılıģıyla", + "Ġtr á»Ļn", + "» :", + "íĭ ±", + "ĠÙĦÛĮ Ú¯", + ". Ðļ", + "ĠÙħÙĤ اÛĮسÙĩ", + "Ġв мÑĸ", + "ر ÙĪب", + "رÙĪ ب", + "ĠاÙĦ Ø´Ùħ", + "ĠاÙĦØ´ Ùħ", + "Ġden nÄĽ", + "Ġdenn ÄĽ", + "Ñĥ Ñĩа", + "ÑĥÑĩ а", + "åħ ¹", + "Ñī им", + "Ñīи м", + "ĠíĬ¹ íŀĪ", + "ĠاستاÙĨد ارد", + "à¥Ģ ध", + "ãĤ¸ ãĤ¢", + "à¹ĩ à¹ĩ", + "иÑģ Ñģ", + "Ġkazan ç", + "ĠzÃŃsk al", + "åĽŀ æĿ¥", + "Ġп ÑıÑĤÑĮ", + "ĠпÑıÑĤ ÑĮ", + "ĠÄij ãi", + "ĠÄijã i", + "Ġ ÙĪرد", + "ĠÙĪ رد", + "ĠÙĪر د", + "Ġ ìķķ", + "Ġìķ ķ", + "ุ à¸Ĺร", + "ุà¸Ĺ ร", + "åĬ¨ çī©", + "Ġp ublik", + "Ġpub lik", + "Ġpubli k", + "æĪIJ æľ¬", + "æĪIJ åijĺ", + "ãĤ¤ ãĤ¯", + "شر ÙĥØ©", + "á¿Ĩ ÏĤ", + "Ġy ola", + "Ġyo la", + "Ġyol a", + "üyor uz", + "Ġк ÑĥÑĢи", + "ĠкÑĥÑĢ и", + "ĠкÑĥ ÑĢи", + "ĠпоÑħ ож", + "Ġìłľ ê°Ģ", + "िय त", + "ائ ÙĦØ©", + "ائÙĦ Ø©", + "Ġ ãģ¾", + "़ à¥ĩà¤Ĥ", + "़à¥ĩ à¤Ĥ", + "ÑģÑĮ кими", + "ÑģÑĮк ими", + "ÑģÑĮким и", + "âĢľ ä½ł", + "imiz de", + "ìµľ ìĭł", + "Ạ¬", + "è Ł", + "à¸Ħ รà¸Ńà¸ļ", + "à¸Ħร à¸Ńà¸ļ", + "ãĢĢ ãĢĢãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢ ãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢãĢĢãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "ت غ", + "ĠVÅ¡ ech", + "à¸±à¸Ľ à¸Ķาห", + "Ġa td", + "Ġat d", + "в оÑİ", + "во Ñİ", + "Ġyap ım", + "Ġyapı m", + "olog ické", + "ologic ké", + "Ġп лен", + "Ġпл ен", + "Ġlaz ım", + "r ung", + "ru ng", + "run g", + "ìĦľ ê´Ģ", + "Ġji ný", + "Ġjin ý", + "Ġtr òn", + "Ġtrò n", + "ĠполÑĸÑĤи ки", + "ا ÙĥÙħ", + "اÙĥ Ùħ", + "دÛĮ گر", + "à¥Īà¤Ĥ .Ċ", + "à¥Īà¤Ĥ. Ċ", + "Ġ اÙĩد", + "Ġا Ùĩد", + "ĠاÙĩ د", + "Ġ ãĥį", + "Ġãĥ į", + "ĠпÑĢодÑĥк ÑĤов", + "ĠпÑĢодÑĥкÑĤ ов", + "æĤ Ł", + "ĠpÅĻÃŃpad ech", + "ĠzaÄį ala", + "ĠzaÄįal a", + "åħ¥ ãĤĮ", + "ĠÑĢÑĸв нÑĸ", + "æĦŁ æĥħ", + "ĠΧ α", + "ì £½", + "ì£ ½", + "ิà¸Ī ารà¸ĵ", + "Âł б", + "Ñĸ ÑĹв", + "ÑĸÑĹ Ð²", + "ب Ø´", + "çļĦ éĹ®é¢ĺ", + "Ġza stup", + "Ġzast up", + "볤 ìļĶ", + "ãģ§ãģĻ ãģŃ", + "âĢĮ داÙĨ", + "âĢĮد اÙĨ", + "ï¼Į æĤ¨", + "Ġu vÄĽdom", + "ãģ¦ ãĤĭ", + "ìĤ¬ ëŀĮ", + "l un", + "lu n", + "éĽĨ åIJĪ", + "ë§ ¹", + "Ġž id", + "Ġži d", + "ठĬ", + "Ġt rp", + "Ġtr p", + "л ениÑħ", + "лен иÑħ", + "ле ниÑħ", + "＿ __", + "＿_ _", + "Ðľ Ðŀ", + "å¼ ĭ", + "λÎŃ Î¿Î½", + "ĠÄij òi", + "Ġк ÑĢок", + "lay ıcı", + "ì¶ľìŀ¥ ë§ĪìĤ¬ì§Ģ", + "åij Ī", + "éľ ŀ", + "Ġпо глÑıд", + "Ġпог лÑıд", + "ت رÙĥ", + "تر Ùĥ", + "ĠتÙģ اÙĪت", + "Ġ å®®", + "Ġå® ®", + "ĠدÙĪر بÛĮÙĨ", + "æĶ¾ åľ¨", + "ĠÑģлÑĥÑĩа ев", + "ĠÑģлÑĥÑĩае в", + "ĠÏħÏĢ ηÏģε", + "ë§ ŀ", + "ãģĻ ãģĻ", + "ê²ł ëĭ¤", + "ราย à¸ģาร", + "ĠÏĢ Ïģιν", + "ĠÑģ меÑĪ", + "ĠÑģм еÑĪ", + "å§ ī", + "Ġvýsled ky", + "Ġpot vr", + "åıij è¡Į", + "Ġt úi", + "Ġtú i", + "ĠìĤ¬ ëĿ¼", + "ç«Ļ åľ¨", + "Ġja ký", + "Ġjak ý", + "Ġ à¸ļาà¸ĩ", + "Ġà¸ļ าà¸ĩ", + "Ġdik kate", + "Ġdikkat e", + "Ġدر Ø¢Ùħد", + "æİĴ åIJį", + "r álnÃŃ", + "rál nÃŃ", + "ê³¼ ìĿĺ", + "ä½ µ", + "о лаг", + "ол аг", + "ола г", + "is iyle", + "isi yle", + "Ġ æ½", + "Ġæ ½", + "Ġ तम", + "Ġत म", + "Ġd ij", + "Ġdi j", + "Ġnh ánh", + "ĠR ek", + "ĠRe k", + "设 æĸ½", + "ĠpodmÃŃn ek", + "并 ä¸į", + "к ÑĥÑĤ", + "кÑĥ ÑĤ", + "Ġê³ł 볤", + "çļĦ å£°éŁ³", + "æĪĺ äºī", + "д аÑı", + "да Ñı", + "Ġê´Ģ ìĭ¬", + "ĠÑĦÑĸн анÑģ", + "ĠK öy", + "ĠKö y", + "Ġж ал", + "ĠÑģлÑĥж би", + "м ена", + "мен а", + "ме на", + "ت ÙĬار", + "تÙĬ ار", + "ĠÑĩем пион", + "ÏĢ ιÏĥ", + "ÏĢι Ïĥ", + "landır ma", + "mak tan", + "makta n", + "makt an", + "Ġ 丶", + "Ġä¸ ¶", + "à¹Ī à¸Ńส", + "à¹Īà¸Ń ส", + "ĠmÃ¼ÅŁ teri", + "ĠmÃ¼ÅŁter i", + "Ġص ÙĨد", + "ĠصÙĨ د", + "Ġet mesi", + "Ġetm esi", + "Ġetme si", + "Ġп оÑĢÑĤ", + "ĠпоÑĢ ÑĤ", + "ν ονÏĦαι", + "νον ÏĦαι", + "Ġ ãħĭãħĭ", + "ĠK AR", + "ĠKA R", + "Ġ uch", + "Ġu ch", + "Ġuc h", + "ĠØ® ÙĦÙĤ", + "ĠØ®ÙĦ ÙĤ", + "าษà¸İ ร", + "æŃ ¡", + "Ġи мени", + "Ġим ени", + "Ġиме ни", + "ãģł ãģijãģ©", + "ãģłãģij ãģ©", + "Ġìĭ¤ ìĭľ", + "ÏĥÏī ÏĢ", + "Ġ ì£", + "Ġì £", + "t ÄĽÅ¾", + "tÄĽ ž", + "Ġözel likleri", + "Ġözellik leri", + "Ġözellikle ri", + "Ġب Ù¾", + "Ġиз обÑĢаж", + "ÙĬÙħ ÙĥÙĨ", + "Ġ ãĥĶ", + "Ġãĥ Ķ", + "ĠÐĶ ив", + "ĠÐĶи в", + "ĠØ¥ ÙĬ", + "Ùĥ ÙĬÙĦ", + "ÙĥÙĬ ÙĦ", + "ĠÅŁ ik", + "ĠÅŁi k", + "Ġà¤Ĩ à¤ĸ", + "lar ınızı", + "ların ızı", + "larını zı", + "larınız ı", + "ĠвÑĸд ÑĢÑĸз", + "ĠÑĢоб оÑĤа", + "ĠÑĢобоÑĤ а", + "Ġta rif", + "Ġtar if", + "Ġ اÙĪت", + "Ġا ÙĪت", + "ĠاÙĪ ت", + "ın ma", + "é£Ł ãģ¹", + "Ġuzav ÅĻ", + "ë£ ¸", + "çĽij çĿ£", + "Ġ: ï¼¼", + "θ Ïħν", + "θÏħ ν", + "à¸Ķ ร", + "a larından", + "alar ından", + "aların dan", + "alarında n", + "èĩª æĭį", + "Ġro ÄįnÃŃ", + "ाà¤ĩ व", + "Ġ ÙĥÙĪر", + "ĠÙĥ ÙĪر", + "ĠÏĦ αιν", + "ĠÏĦα ιν", + "ĠÑĸн див", + "r ve", + "rv e", + "ĠνεÏĨ ÏİÏĥειÏĤ", + "Ġb á»ijn", + "Ġbá»ij n", + "Ġ å¿«", + "Ġå¿ «", + "ĠÑģ олÑĮ", + "ĠÑģо лÑĮ", + "ĠÑģол ÑĮ", + "li ÄŁinde", + "liÄŁi nde", + "liÄŁ inde", + "liÄŁin de", + "िन à¤Ł", + "a htar", + "ah tar", + "Ġneb ezpeÄį", + "æĹ¢ çĦ¶", + "ĠëĮĢ ìłĦ", + "ĠÙĨÚ¯Ùĩد ارÛĮ", + "ĠzÃŃsk at", + "Ġнали Ñĩие", + "ĠналиÑĩи е", + "Ġ aks", + "Ġa ks", + "Ġak s", + "ï¼ī ãĢĤĊĊ", + "ï¼īãĢĤ ĊĊ", + "ï¼īãĢĤĊ Ċ", + "Ġrod iny", + "Ġrodin y", + "Ġrodi ny", + "Ġза ÑħÑĸд", + "ĠзаÑħ Ñĸд", + "å¾® ç¬ij", + "ÂłÐĶ а", + "r adu", + "ra du", + "rad u", + "ī nh", + "p les", + "pl es", + "ple s", + "ĠK ons", + "ĠKon s", + "ĠKo ns", + "ิ à¹Ĥล", + "ิà¹Ĥ ล", + "ĠاÙĦ ÙĪص", + "ĠاÙĦÙĪ ص", + "åIJ¬ åĪ°", + "ĠÑģпоÑĢ ÑĤив", + "ĠÑģ айÑĤе", + "ĠÑģай ÑĤе", + "Ġ اظ", + "Ġا ظ", + "ĠØ§Ø ¸", + "lar ındaki", + "ların daki", + "larında ki", + "Ġtá»ķ n", + "ÐĿ ÐĨ", + "Ġned ost", + "ĠÑĤоÑĢ гÑĸв", + "Ġ اÛĮت", + "Ġا ÛĮت", + "ĠاÛĮ ت", + "Ġاختص اص", + "ĠÃľ y", + "ĠS adece", + "ĠSad ece", + "ĠÙħØ® رÙĪØ·", + "Ä ģn", + "Äģ n", + "ç esi", + "çe si", + "Ġ çĬ", + "Ġç Ĭ", + "ãĤĤ ãģ£ãģ¨", + "Ġ éŁĵ", + "ĠéŁ ĵ", + "èµ ĸ", + "ĠполÑĥÑĩ ениÑı", + "Ġë ĺ", + "âĢĻ ÑĹ", + "b ÃŃr", + "bÃŃ r", + "Ġб ÑĸблÑĸ", + "ĠD á»±", + "же неÑĢ", + "жен еÑĢ", + "ç½ij åĪĬ", + "Ġल à¥ľà¤ķ", + "ĠÑĥÑĩ нÑĸв", + "èĪ °", + "ĠÃĸÄŁ ren", + "Ġ ola", + "Ġo la", + "Ġol a", + "Ġ। âĢĿĊĊ", + "ระ à¹Ģà¸ļ", + "á½ ²", + "Ġ رز", + "Ġر ز", + "е и", + "еР¸", + "Ñı Ñĩи", + "ÑıÑĩ и", + "ØŃ Ø¨", + "æĴ ¤", + "ãģ¾ãģŁ ãģ¯", + "б ина", + "би на", + "бин а", + "ĠÎł εÏģ", + "ĠоÑĤноÑģ иÑĤÑģÑı", + "åīį çļĦ", + "Ġ Å¡Å¥", + "ĠÅ¡ Å¥", + "Ġyıl da", + "Ġyı lda", + ": ::::|", + ":: :::|", + ":::: :|", + "::: ::|", + "::::: |", + "us til", + "ust il", + "اÙĦ Ø¥", + "ĠsouÄįas né", + "ĠÙĨÛĮ رÙĪÛĮ", + "ĠÙĨÛĮر ÙĪÛĮ", + "ĠÙĨÛĮرÙĪ ÛĮ", + "ÑĩеÑģ кое", + "Ñĩе Ñģкое", + "ظ Ùģ", + "ĠÙ¾ÛĮØ´ ÛĮÙĨÙĩ", + "Ġع ÙģØ´", + "Ġrost lin", + "ç½ijåĪĬ ä¸ĭ载次æķ°", + "ĠпÑĢигоÑĤов иÑĤÑĮ", + "ãĥ Į", + "ĠÙĪ Ùħع", + "ĠÙĪÙħ ع", + "Ġb ecer", + "Ġbe cer", + "Ġbec er", + "Ġ ãĤ±", + "ĠãĤ ±", + "Ïĩ ήÏĤ", + "Ïĩή ÏĤ", + "о ÑģÑĤÑĥп", + "оÑģÑĤ Ñĥп", + "Ġë°ľ 매", + "Ñĸй ного", + "Ñĸйно го", + "Ġh rd", + "Ġhr d", + "ĠпÑĢепаÑĢа ÑĤÑĭ", + "ĠÙģ رض", + "ĠÙģر ض", + "ĠTy to", + "Ġ кÑĢаÑĹн", + "ĠкÑĢаÑĹ Ð½", + "Ġز اد", + "Ġikt idar", + "ì§ ĵ", + "Ùij ر", + "ÑĢÑı дÑĥ", + "ÑĢÑıд Ñĥ", + "к Ñĸй", + "кÑĸ й", + "âĶ £", + "Ġко жи", + "Ġкож и", + "Ġت ازÙĩ", + "Ġتا زÙĩ", + "o bec", + "ob ec", + "obe c", + "in ae", + "ina e", + "Ġvyj ád", + "Ġ رÙģتÙĩ", + "Ġر ÙģتÙĩ", + "ĠرÙģت Ùĩ", + "ĠرÙģ تÙĩ", + "Щ о", + "ĠBy lo", + "ĠByl o", + "оÑĤ в", + "ĠденÑĮ ги", + "é§ Ĩ", + "Ġма ÑĪин", + "ĠмаÑĪ ин", + "ĠмаÑĪи н", + "ĠØ£ ج", + "ì´Ī ëĵ±íķĻêµIJ", + "dı ģında", + "dıģı nda", + "dıģ ında", + "б аÑģ", + "ба Ñģ", + "Ġ æł¹", + "Ġæł ¹", + "ÎijÎĿ Τ", + "ÙĴ ØŃ", + "Ġjejich ž", + "ìĹIJìĦľ ìĿĺ", + "Ġад же", + "Ġì ı", + "Ïĥ οÏħ", + "Ïĥο Ïħ", + "et leri", + "etler i", + "Ġبعد ÛĮ", + "Ġبع دÛĮ", + "ĠìŀIJëıĻ ì°¨", + "ิà¸į à¸į", + "Ġt isk", + "Ġti sk", + "ãĥ¼ ãĤ¹ãĥĪ", + "ãĥ¼ãĤ¹ ãĥĪ", + "Ġमत लब", + "ê³Ħ íļį", + "ãĤ¦ ãĥĪ", + "Ġ à¹Ģมà¸ķร", + "Ġà¹Ģม à¸ķร", + "Ġop siyon", + "Ġops iyon", + "ĠÑĢав но", + "ĠبÛĮ ÙħÙĩ", + "ĠبÛĮÙħ Ùĩ", + "Ġ먼 ìłĢ", + "иÑĤелÑĮ нÑĭм", + "ĠнÑĸ би", + "Ġде ÑģÑıÑĤ", + "ĠдеÑģÑı ÑĤ", + "ĠÑģиÑĤÑĥа ÑĨии", + "еÑĢ ÑĪе", + "еÑĢÑĪ е", + "Ä ¾", + "ุ à¸ķร", + "ุà¸ķ ร", + "Ġyönet imi", + "Ġyönetim i", + "éIJ ĺ", + "ĠÙħÛĮ تÙĪاÙĨ", + "Ġز ÙĨدÙĩ", + "ĠزÙĨ دÙĩ", + "ĠزÙĨد Ùĩ", + "ãĥŃ ãĥ³", + "ĠK BS", + "ĠKB S", + "ìĦľ ë¹ĦìĬ¤", + "ï» ł", + "eck ého", + "ecké ho", + "ĠÙĤابÙĦ ÛĮت", + "ĠÙĤاب ÙĦÛĮت", + "ãĢĤ ä»Ĭ", + "ÃŃ nÄĽ", + "ÃŃn ÄĽ", + "ĠÑģм ог", + "ĠÑģл ÑĭÑĪ", + "ÙĴ Ùģ", + "po ÅĻád", + "елÑĮ но", + "Ġεί Ïĩαν", + "-ÐŁ еÑĤеÑĢб", + "ĠCh iến", + "ĠChi ến", + "é ry", + "ér y", + "ĠÑĸн ÑģÑĤиÑĤÑĥÑĤ", + "ç»Ĩ èĥŀ", + "Ñĭ ÑŁN", + "Ġv ua", + "Ġvu a", + "Ġà¤ħ श", + "ÑĢоÑģ ÑĤо", + "ÑĢоÑģÑĤ о", + "Ġvů Äįi", + "ë ¿IJ", + "Ġl iá»ĩt", + "Ġíķ µ", + "Ġ اÙģر", + "Ġا Ùģر", + "ĠاÙģ ر", + "ĠTek nik", + "Ġr oli", + "Ġro li", + "Ġrol i", + "Ġпоп ÑĭÑĤ", + "аÑĤ кÑĸв", + "Ġün iversit", + "аÑĤ оÑĢÑĭ", + "аÑĤоÑĢ Ñĭ", + "аÑĤо ÑĢÑĭ", + "ÑİÑīиÑħ ÑģÑı", + "Ġت ض", + "лÑİ ÑĩаеÑĤÑģÑı", + "лÑİÑĩ аеÑĤÑģÑı", + "лÑİÑĩа еÑĤÑģÑı", + "Ġíĸī ë³µ", + "Ġayrıntı lı", + "ĠкиÑĢ п", + "æĭ ¼", + "ëģ Ķ", + "л аÑĤа", + "ла ÑĤа", + "лаÑĤ а", + "Ġkho án", + "Ġhâl â", + "Ïĥ Ïħ", + "ог лаÑģ", + "æİ¥ çĿĢ", + "éĿ© åij½", + "Ġp ÅĻeb", + "ĠpÅĻ eb", + "ĠpÅĻe b", + "à¹Ģà¸ī ล", + "ĠاÙĦÙħÙĦ ÙĦÛĮ", + "åł Ĩ", + "íı IJ", + "à¸ķล à¸Ńà¸Ķ", + "° С", + "ìĤ¬ ëŀij", + "Ġг иб", + "ë²Ī 째", + "æĶ¹ åıĺ", + "表 çİ°", + "и ÑĩеÑģким", + "иÑĩеÑģ ким", + "иÑĩеÑģки м", + "สม à¹Ģà¸Ķ", + "å±ħ æ°ij", + " Ľ", + "ĠìķĦìĿ´ ëĶĶ", + "ĠмеждÑĥ наÑĢод", + "Ġy em", + "Ġye m", + "Ġm ül", + "Ġmü l", + "Ġا ÛĮست", + "ĠاÛĮ ست", + "Ġ ãĥ´", + "Ġãĥ ´", + "ัà¸Ļ à¹Ħà¸Ķ", + "à¥Ģ ण", + "åħ¶ å®ŀ", + "Ġgel enek", + "Ġgele nek", + "Ġgelen ek", + "ë¶ģ ëıĦ", + "à¹ī าà¸ķ", + "à¹īา à¸ķ", + "Ġ ìī¬", + "Ġìī ¬", + "Ġ ÏĢÎŃ", + "ĠÏĢ ÎŃ", + "ĠÙĥ اÙħÙĦ", + "ĠÙĥاÙħ ÙĦ", + "Ġتع ÙħÛĮر", + "è¨ ´", + "ë¹ Ļ", + "iy im", + "iyi m", + "å° ¿", + "éĤ£ æł·", + "êµŃ ìĿĺ", + "ãģĹãģ¦ ãģĬãĤĬ", + "Ġ niž", + "Ġn iž", + "Ġni ž", + "Ġκ ον", + "Ġκο ν", + "à¹Ī าà¸Ń", + "à¹Īา à¸Ń", + "Ġ γε", + "Ġγ ε", + "ĠС евеÑĢ", + "edi álnÃŃ", + "ãģŁãģ¡ ãģ®", + "m ayacak", + "may acak", + "maya cak", + "Ñ Ļ", + "ĠÑĥ гл", + "ĠÑĥг л", + "Ġk apas", + "Ġka pas", + "Ġkap as", + "Ñĥв алиÑģÑı", + "Ñĥва лиÑģÑı", + "Ñĥвали ÑģÑı", + "ĠмеÑģÑı ÑĨа", + "á» ¯u", + "ữ u", + "ิ ลล", + "ิล ล", + "ãĤĪãĤĬ ãĤĤ", + "à¥ĩ ण", + "à¥ĩठ£", + "Ġ 客", + "Ġå® ¢", + "ĠdeÄŁ erli", + "ĠdeÄŁer li", + "ÙĪ از", + "ÙĪا ز", + "ี à¸Ńย", + "ีà¸Ń ย", + "Ġ åıĪ", + "Ġåı Ī", + "Ġ à¸Ķร", + "Ġà¸Ķ ร", + "ĠÙĨ اب", + "ĠتÙĦÙĪÛĮزÛĮ ÙĪÙĨ", + "Ġol anlar", + "Ġolan lar", + "ä¼ĺ ç§Ģ", + "Ùĥ اÙĦ", + "ĠдеÑģÑı ÑĤи", + "ĠдеÑģÑıÑĤ и", + "m án", + "má n", + "ĠÑĢ анÑĮ", + "ĠÑĢа нÑĮ", + "ĠÑĢан ÑĮ", + "Ġìłľ ì¶ľ", + "è³ ¢", + "а бо", + "аб о", + "Ġtechn ik", + "Ġtech nik", + "ĠK iá»ĥm", + "ĠKi á»ĥm", + "t eki", + "te ki", + "tek i", + "á ¹", + "Ġm nÄĽ", + "Ġmn ÄĽ", + "Ġê³µ ê°Ħ", + "ĠM ek", + "ĠMe k", + "Ġاع تÙħاد", + "à¹Į à¹Ħà¸Ķ", + "ε ÏģÏĮ", + "εÏģ ÏĮ", + "ĠÑĥд аÑĢ", + "ĠÑĥда ÑĢ", + "оÑĩ ÑĮ", + "æ¦Ĥ 念", + "ÑĢ ал", + "ÑĢаР»", + "ÑĢа л", + "алÑĮ нÑĭми", + "алÑĮнÑĭм и", + "à¥ģर स", + "r áci", + "rá ci", + "Ġ ÙĤÙĪÙĦ", + "ĠÙĤ ÙĪÙĦ", + "Ġद व", + "ĠпÑĢав да", + "Ġ å¿ħ", + "Ġå¿ ħ", + "Ġdos ud", + "нÑĥ ÑĤÑĮÑģÑı", + "нÑĥÑĤÑĮ ÑģÑı", + "N Äĥm", + "à¸ĺ à¸Ļ", + "Ġdok un", + "Ġ åľ¨çº¿", + "Ġåľ¨ 线", + "ู à¹Ħ", + "ụ y", + "Ġн овÑĭÑħ", + "Ġнов ÑĭÑħ", + "Ġmez un", + "ĠC ần", + "à¸ģาร à¸ŀ", + "ĠìĺĪ ìłķ", + "Ïĥ ή", + "à¹Īà¸Ļ à¹Ģà¸ģม", + "ĠÙĪ اÙĦس", + "ĠÙĪاÙĦ س", + "ĠÙĪا ÙĦس", + "ãĥ³ ãĥĨãĤ£", + "ãĥ³ãĥĨ ãĤ£", + "çľĭ è§ģ", + "Ġس اÙĦÙħ", + "ĠساÙĦ Ùħ", + "ĠбагаÑĤÑĮ оÑħ", + "ĠÄij Ãłi", + "Ġد ستÛĮ", + "Ġدست ÛĮ", + "Ġدس تÛĮ", + "à¸ŀ à¸Ń", + "еп ÑĤи", + "ĠìłĦ íĻĶ", + "æĻĤ ãģ«", + "ĠSe znam", + "ĠSez nam", + "мÑĸ нÑĥ", + "мÑĸн Ñĥ", + "; ?#", + "à¥Ģ सर", + "à¥Ģस र", + "ĠÚĨ ÛĮست", + "νο ια", + "νοι α", + "ั à¸Ļà¸Ń", + "ัà¸Ļ à¸Ń", + "Ġ à¸Ħำ", + "Ġà¸Ħ ำ", + "Ġë³´ íĺ¸", + "Ġid dia", + "Ġiddi a", + "Ġβ ιβ", + "é«ĺ ä¸Ń", + "Ù ¨", + "ÐĴ аж", + "ĠиÑģп олн", + "ÑĪ ÑĤов", + "ÑĪÑĤ ов", + "ĠT aÅŁ", + "ĠTa ÅŁ", + "ìĽ ħ", + "åĬ ¹", + "Ġ åıĥ", + "Ġåı ĥ", + "Ġprost oru", + "Ġprostor u", + "ĠÑģп ад", + "е ÑĢина", + "еÑĢ ина", + "еÑĢи на", + "еÑĢин а", + "ĠpÅĻek lad", + "ĠpÅĻe klad", + "Å¡ ov", + "ĠÙģ ÙĩÙħ", + "ĠÙģÙĩ Ùħ", + "æĬ ij", + "Ġابت دا", + "Ġابتد ا", + "ãĤĴ ãģĬ", + "l ikler", + "lik ler", + "likle r", + "ĠÙħ اÙĥ", + "ĠÙħا Ùĥ", + "Ġko nut", + "Ġkon ut", + "Ġkonu t", + "ĠداÙĨØ´ جÙĪÛĮ", + "Ġоп ÑĤим", + "Ġб Ñĥма", + "ĠбÑĥ ма", + "ĠлÑİд Ñıм", + "Ġл Ñĸка", + "ĠлÑĸ ка", + "ĠлÑĸк а", + "ĠÑĢоз повÑĸд", + "ĠÑĢозп овÑĸд", + "ĠÑĢозпов Ñĸд", + "nes enÃŃ", + "Ġ à¸łà¸²à¸ŀ", + "Ġà¸ł าà¸ŀ", + "и Ñĩний", + "иÑĩ ний", + "ا Ø·ÙĦ", + "اط ÙĦ", + "Ñİ Ñīими", + "ÑİÑī ими", + "ÑİÑīим и", + "ãģı ãģ¨", + "éŃ ¯", + "ĠجÙĨ سÛĮ", + "Ðĺ Т", + "र ल", + "ĠÚ©ÙĪد Ú©", + "о лиÑĤ", + "ол иÑĤ", + "оли ÑĤ", + "ĠÑģÑĤÑĢÑĥкÑĤÑĥ ÑĢ", + "ve kili", + "vek ili", + "Ġब य", + "Ġgel miÅŁ", + "िर फ", + "Ġнай кÑĢа", + "ĠÐĶж он", + "Ġ ãĥĹãĥŃ", + "ĠãĥĹ ãĥŃ", + "ĠyaÅŁ lı", + "Ġkar Ä±ÅŁtır", + "ĠkarÄ±ÅŁ tır", + "ĠvÄĽtÅ¡ inou", + "Ġvaz geç", + "à¹ī าà¸Ħ", + "à¹īา à¸Ħ", + "lendir me", + "Ġ ç¨ĭ", + "Ġç¨ ĭ", + "说 è¯Ŀ", + "ĠíķĦìļĶ íķľ", + "aÅĻ ilo", + "Ġle žÃŃ", + "ĠAmer ikan", + "ĠAmerika n", + "ĠAmerik an", + "ãĤĦ ãģĻ", + "va jÃŃcÃŃ", + "vajÃŃ cÃŃ", + "ÐĿ Я", + "ĠìĹĦ ë§Ī", + "Ġ åĥ", + "Ġå ĥ", + "r ál", + "rá l", + "Ġç ay", + "Ġça y", + "tu ÄŁ", + "ุà¸į าà¸ķ", + "ĠÑģ лив", + "ĠÑģл ив", + "ν οÏħ", + "νο Ïħ", + "ĠO v", + "ĠC HP", + "ĠCH P", + "ĠZe mÄĽ", + "ĠZem ÄĽ", + "ĠÄįesk ý", + "ĠÄįe ský", + "ĠTh ánh", + "иÑĤелÑĮ ноÑģÑĤÑĮ", + "иÑĤелÑĮно ÑģÑĤÑĮ", + "æĦı ä¹ī", + "à¥įरम ण", + "Ġди амеÑĤ", + "Ġk lin", + "Ġkl in", + "Ġkli n", + "Ġ کرÛĮ", + "ĠÚ© رÛĮ", + "Ġکر ÛĮ", + "ãģ§ãģ¯ ãģªãģı", + "飯 åºĹ", + "Ġk ênh", + "Ġkê nh", + "ĠÑĢанÑĮ ÑĪе", + "ãĤĴ ãģĹãģŁ", + "ĠпÑĢи боÑĢ", + "ĠпÑĢиб оÑĢ", + "Ġà¤ĸ तर", + "Ġ yu", + "Ġy u", + "é§ IJ", + "ĠÑĢ або", + "ĠÑĢа бо", + "ĠÑĢаб о", + "ĠС ÐłÐ¡Ðł", + "èĬ ¬", + "ž ila", + "ži la", + "žil a", + "еÑĢ ÑĤа", + "еÑĢÑĤ а", + "и ÑģÑĤÑĢа", + "иÑģ ÑĤÑĢа", + "иÑģÑĤ ÑĢа", + "Ġкни ги", + "ĠFranc ie", + "ĠFran cie", + "ĠÚĺ اپ", + "ĠÎļ οÏħ", + "ĠÎļο Ïħ", + "ัว à¹Ģà¸Ńà¸ĩ", + "Ġl ắng", + "Ġ нами", + "Ġн ами", + "Ġна ми", + "Ġнам и", + "Ġпод ой", + "д ÑĢом", + "дÑĢ ом", + "o bus", + "ob us", + "ÐĴ Ñĸн", + "Ġst alo", + "Ġsta lo", + "Ġstal o", + "Ġà¤ı à¤ľ", + "ĠL inh", + "ĠLin h", + "ĠLi nh", + "ebilir iz", + "Ġзав ÑĤÑĢа", + "μ εÏģο", + "με Ïģο", + "μεÏģ ο", + "Ġ ÎŃν", + "ĠÎŃ Î½", + "ÑıÑĤ но", + "Ġд оÑĢож", + "Ġдо ÑĢож", + "ĠдоÑĢ ож", + "åıĤ çħ§", + "Ïĥ ιο", + "Ïĥι ο", + "à¹ī à¹Ģà¸ģ", + "a ných", + "an ých", + "aný ch", + "ç· ł", + "Ġ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢãĢĢ", + "ĠãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢãĢĢ ãĢĢ", + "åĬĽ çļĦ", + "ĠS ır", + "ĠSı r", + "Ġ ì§ĢëıĦ", + "Ġì§Ģ ëıĦ", + "ç· Ĭ", + "ĠpoÄį tu", + "ï¼Į ä¸İ", + "ä¸ĸ ç´Ģ", + "ем ого", + "емо го", + "Ġhus us", + "Ġhu sus", + "Ġölçü de", + "Ġtr ục", + "Ġtrụ c", + "à¸Ľà¸¥ à¸Ńà¸Ķà¸ł", + "Âłp ÅĻÃŃ", + "ĠBöl gesi", + "м ом", + "мо м", + "ãģ« ãģ¦", + "Ġ쪽 ì§Ģ", + "ÄĽt Å¡", + "ĠìĦ± ê³µ", + "र त", + "ur du", + "urd u", + "ĠìĽĢ ì§ģ", + "ÑŁ ÐŃ", + "nÃŃ kem", + "nÃŃk em", + "ĠskuteÄį nosti", + "Ġ даÑĤ", + "Ġд аÑĤ", + "Ġда ÑĤ", + "n eum", + "ne um", + "ĠÑĤаб леÑĤ", + "j vu", + "Ġs edm", + "Ġse dm", + "Ġsed m", + "س ÙĬØ©", + "سÙĬ Ø©", + "ĠкоÑĢ об", + "Ġко ÑĢоб", + "em mel", + "emm el", + "emme l", + "ãģ¤ ãģij", + "é¦Ļ èķī", + "Ġشخص ÛĮت", + "ĠشخصÛĮ ت", + "ä¸Ĭ äºĨ", + "ÙĪ را", + "ÙĪر ا", + "ĠаÑĤ моÑģ", + "Ġ лей", + "Ġл ей", + "Ġz prav", + "Ġzp rav", + "Ġëķ ħ", + "ู à¸Ĺ", + "Ġ اسر", + "Ġا سر", + "Ġاس ر", + "ĠAy dın", + "ĠعÙħ ÙĦÙĬØ©", + "ĠعÙħÙĦ ÙĬØ©", + "Ġд ÑĸÑĶ", + "ĠдÑĸ ÑĶ", + "Ġd ök", + "Ġdö k", + "Ġफ ल", + "ĠìĤ¬ëŀĮ ëĵ¤ìĿ´", + "ĠнаÑĤÑĥ ÑĢалÑĮ", + "æŁ ľ", + "温 度", + "Ġk les", + "Ġkl es", + "Ġkle s", + "Ġин веÑģÑĤи", + "s üz", + "æĴ °", + "Ġ ãĤ¢ãĥ«", + "ĠãĤ¢ ãĥ«", + "Ġ èĴ", + "Ġè Ĵ", + "ад ки", + "Ġk lÃŃÄį", + "Ïĩ εί", + "Ïĩε ί", + "ĠTh iết", + "ĠThi ết", + "ĠسرÛĮ ع", + "ĠÏĢεÏģιο Ïĩή", + "ÙĪ ÙĤÙģ", + "ÙĪÙĤ Ùģ", + "Ïģ ÏīÏĥη", + "ÏģÏī Ïĥη", + "ĠسÙĦ اÙħت", + "ĠسÙĦاÙħ ت", + "ëĵ¤ ëıĦ", + "ĠveÅĻej né", + "Ġvi tam", + "Ġvit am", + "Ġvita m", + "ĠبازÛĮ گر", + "ĠÑĢеÑĨеп ÑĤ", + "ĠìľĦ íķ´ìĦľ", + "ĠìľĦíķ´ ìĦľ", + "ĠØ£Ùĥ بر", + "Ġk üt", + "Ġkü t", + "민 주", + "Ġté ž", + "Ġ å¼ķ", + "Ġå¼ ķ", + "ÑĩаÑģ но", + "çļĦ åľ°", + "Ġarchit ekt", + "Ġбак ÑĤеÑĢ", + "Ġ ãģį", + "Ġ одеÑĢж", + "Ġо деÑĢж", + "Ġод еÑĢж", + "Ġتج ارÛĮ", + "éĿ Ī", + "Ġre cep", + "Ġrec ep", + "Ġrece p", + "é© ¶", + "Ġد ÙĩÙĩ", + "ĠدÙĩ Ùĩ", + "è² Į", + "çµIJ å©ļ", + "ılı ç", + "ãģĭãĤī ãģ¯", + "å¿ĥ éĩĮ", + "æĬķ è³ĩ", + "è² Ŀ", + "ĠкÑĥлÑĮÑĤÑĥ ÑĢÑĭ", + "ĠкÑĥлÑĮÑĤÑĥÑĢ Ñĭ", + "Ġ å°ij", + "Ġå° ij", + "à¹ģ à¸ŀร", + "à¹ģà¸ŀ ร", + "γ κÏĮ", + "γκ ÏĮ", + "ar ım", + "arı m", + "Ġاس اسÛĮ", + "Ġاساس ÛĮ", + "Ġposled nÃŃch", + "ĠposlednÃŃ ch", + "ĠÙħ ÙħÙĨ", + "ĠÙħÙħ ÙĨ", + "Ġпоз иÑĤив", + "Ġпози ÑĤив", + "ìł ¤", + "Ñĥ вавÑģÑı", + "Ñĥв авÑģÑı", + "Ñĥва вÑģÑı", + "Ñĥвав ÑģÑı", + "Ġجز ئ", + "ìĿ´ ìŀIJ", + "Ġин ÑģÑĤÑĢÑĥк", + "Ġη λεκ", + "Ġde mir", + "Ġdem ir", + "Ġdemi r", + "ä¸Ńæĸĩ åŃĹå¹ķ", + "Ġعاش ÙĤ", + "Ġب اÙĦÙĤ", + "Ġبا ÙĦÙĤ", + "ĠباÙĦ ÙĤ", + "Ġ maz", + "Ġm az", + "Ġma z", + "ά νι", + "άν ι", + "Ġ dÃ¼ÄŁ", + "Ġd Ã¼ÄŁ", + "Ġdü ÄŁ", + "Ġ κÏģα", + "Ġκ Ïģα", + "ĠбÑĥд ÑĤо", + "ç¦ı åĪ©", + "ĠпÑĢед назнаÑĩ", + "Ùħ ÙĦØ©", + "ÙħÙĦ Ø©", + "ĠбÑĥд инкÑĥ", + "Å¥ an", + "íķ Ģ", + "ç´¹ ä»ĭ", + "Ú© ز", + "ĠкаÑĦ ед", + "ãģ« è¦ĭ", + "าà¸ķร à¸IJาà¸Ļ", + "ë¡ľ ëĬĶ", + "i vÄĽ", + "iv ÄĽ", + "èĥ½ æºIJ", + "ï¼Į åħ¨", + "ĠÑĥ див", + "ĠÑĥд ив", + "Ġë§Į ëĤĺ", + "ÐĴ ÐIJ", + "ĠG ür", + "ĠGü r", + "ĠдÑĢÑĥг им", + "Ïĥ Ïį", + "Ġ oÄŁlu", + "ĠoÄŁ lu", + "Ġê°Ģ ê¹Į", + "ĠзнаÑĩ иÑĤелÑĮно", + "ĠзнаÑĩиÑĤ елÑĮно", + "о зÑĸ", + "оз Ñĸ", + "Ġm á»±c", + "ĠB eÅŁ", + "ĠBe ÅŁ", + "Ġ jezd", + "Ġje zd", + "á vÄĽ", + "áv ÄĽ", + "ÏĦη Ïĥε", + "ãģ¦ãģĦ ãģªãģĦ", + "ĠСв ÑıÑĤ", + "Ġम श", + "ĠΤ οÏħ", + "ĠΤο Ïħ", + "声 ãĤĴ", + "ĠÑģам ое", + "ĠÑģамо е", + "Ġ åĮº", + "ĠåĮ º", + "ĠìĤ¬ëŀĮ ìĿĢ", + "ĠÙħ ÙĦت", + "ĠÙħÙĦ ت", + "Ġj oker", + "Ġjo ker", + "Ġjoke r", + "Ġne ob", + "Ġneo b", + "ĠÑĤ ака", + "ĠÑĤак а", + "ĠÑĤа ка", + "ĠÙĩ Ùģت", + "Ġδε δο", + "ĠзаÑħ оп", + "ĠاÙĦÙħ خت", + "ез да", + "езд а", + "Ġíķľ ë²Ī", + "Ġع اÙħØ©", + "ĠعاÙħ Ø©", + "Ġdo state", + "Ġdost ate", + "Ġdostat e", + "Ġp lav", + "Ġpl av", + "Ġpla v", + "楽 ãģĹ", + ".;.; .;.;", + "в аÑĶ", + "ва ÑĶ", + "Ġbụ i", + "ĠÄij ỡ", + "ĠÄijá» ¡", + "Ġmys lÃŃ", + "Ġmysl ÃŃ", + "ĠÙĨ ار", + "Ġn út", + "Ġм ала", + "Ġмал а", + "Ġма ла", + "Τ Ρ", + "ĠاÙĦرÙħ زÙĬØ©", + "la dım", + "lad ım", + "ladı m", + "ä¸Ģ ç·Ĵ", + "ĠiÅŁ ç", + "l ivé", + "li vé", + "liv é", + "르 ê²Į", + "ан наÑı", + "ظËĨ Ø·", + "Ġd ừng", + "ÙĦÙĥ تر", + "çŃĶ æ¡Ī", + "ĠÙħÙĪÙĤع ÛĮت", + "ĠÑĸн озем", + "ĠиÑģ Ñĩ", + "Ġнеп ÑĢавилÑĮ", + "b akan", + "ba kan", + "bak an", + "Ġ çīĪ", + "Ġçī Ī", + "ен нÑİ", + "à¸ĩ à¹Ģศ", + "à¸Ħวาม à¸Ħ", + "% .Ċ", + "%. Ċ", + "à¹Ī à¹Ģà¸Ľ", + "ĠØ¢ بÛĮ", + "Ġآب ÛĮ", + "Ġst áty", + "Ġstát y", + "Ġتر تÛĮب", + "Äįem ž", + "Ġ é¹", + "Ġé ¹", + "Ġ ÙģاÙĦ", + "ĠÙģ اÙĦ", + "Ġbelir len", + "ĠâĨ ĺ", + "èĩ³ å°ij", + "ĠBun lar", + "Ġ ä¸ĵ", + "Ġä¸ ĵ", + "ĠÙħØŃ Ø§Ø³", + "ĠìĦľ ë²Ħ", + "Ġc anh", + "Ġcan h", + "Ġca nh", + "ĠпÑĢоÑĤ Ñıж", + "ĠнÑĸ меÑĨÑĮ", + "à¥Īà¤ł à¤ķ", + "ëĭ ī", + "Ġна неÑģ", + "Ġвоз ÑĢаÑģÑĤа", + "ĠвозÑĢаÑģÑĤ а", + "Ġ[âĢ¦ ]Ċ", + "Ġ[âĢ¦] Ċ", + ". à¸ŀ", + "ิ ศาสà¸ķร", + "ิศ าสà¸ķร", + "çģ ½", + "ê°Ļ ìĿĢ", + "ล à¸ĩà¸Ĺ", + "ลà¸ĩ à¸Ĺ", + "ãĤ± ãĥ¼ãĤ¹", + "Ġ ãĤ¢ãĤ¤", + "ĠãĤ¢ ãĤ¤", + "Ñģ Ñİ", + "ĠÙĦ ر", + "ãģĭ ãģ£ãģ¦", + "Ġ기 ë°ĺ", + "Ġ !:", + "Ġ! :", + "ĠÑģ ÑĬ", + "Ġ Ø´ÙĨاسÛĮ", + "ĠØ´ÙĨ اسÛĮ", + "ĠØ´ÙĨاس ÛĮ", + "ĠìķĦ 침", + "Ġعب اس", + "Ġ à¸ķà¸Ńà¸Ļ", + "Ġà¸ķ à¸Ńà¸Ļ", + "ĠмеÑĤал ли", + "ÑĪ ила", + "ÑĪи ла", + "Ġpod rob", + "Ġpodr ob", + "ÑĸÑģ но", + "Ġ 赤", + "Ġèµ ¤", + "c iler", + "ci ler", + "cil er", + "o zem", + "oz em", + "oze m", + "ĠоÑģнов нÑĭÑħ", + "Âł à¤ķ", + "à¸ĸ à¸Ļà¸Ļ", + "ан ÑĤаж", + "анÑĤ аж", + "анÑĤа ж", + "ĠD ÃŃky", + "Ġگذ ارÛĮ", + "æľº ä¼ļ", + "οÏħ λίοÏħ", + "οÏħλ ίοÏħ", + "оÑĩ ек", + "Ġнап иÑĤ", + "ĠبÛĮØ´ ترÛĮ", + "ĠبÛĮشتر ÛĮ", + "ä¾ į", + "ĠاÙĦ ÙħÙħ", + "ĠاÙĦÙħ Ùħ", + "ÙĪز ÙĬع", + "Ġgöz lem", + "è°ĥ æķ´", + "Âłm iles", + "Âłmi les", + "Ġk oc", + "Ġko c", + "ัà¸į ห", + "æ³ ³", + "ĠÎij γγ", + "ĠÎijγ γ", + "ĠÙĨÙħ از", + "ุ à¸Ĺ", + "ãĥı ãĤ¤", + "Ġth ù", + "к ÑĥлÑı", + "кÑĥ лÑı", + "кÑĥл Ñı", + "ĠпÑĥÑĤ ем", + "èĩº çģ£", + "Ġver gi", + "Ġverg i", + "åł´åIJĪ ãģ¯", + "ĠÑĤÑĢÑĮ оÑħ", + "Ġë³´ ë©´", + "âĸ ²", + "Ïħ γ", + "ĠдоÑĤ ÑĢим", + "æľ µ", + "Ġum ÄĽnÃŃ", + "èī¯ ãģĦ", + "Âł à¸Ļาà¸ĩ", + "Ðİ ÑĭÑŁN", + "ä¸ī 个", + "ียร à¸ķ", + "ï¼Į åIJĮæŶ", + "ĠÑĢозÑĢаÑħ Ñĥн", + "ĠD ers", + "ĠDe rs", + "ĠDer s", + "ãģª ãģ®", + "Ġê·¸ 를", + "d ikleri", + "dik leri", + "Ġhay ata", + "Ġhaya ta", + "Ġhayat a", + "è§Ħ èĮĥ", + "ç»ĵ åIJĪ", + "Ġs cé", + "Ġsc é", + "Ġc Æ¡m", + "ĠcÆ¡ m", + "åѸ éĻ¢", + "ĠÐĦ в", + "ĠÄįlán ek", + "ĠдоÑģÑĤ иг", + "ĠдоÑģÑĤи г", + "ा à¤ĩस", + "ाà¤ĩ स", + "εÏħ Ïĥη", + "éģ© çĶ¨", + "Ïĥ ον", + "Ïĥο ν", + "ıl maktadır", + "ëªħ ìĿĦ", + "ı b", + "Ġstar Å¡ÃŃ", + "Ġch ÃŃn", + "ĠchÃŃ n", + "ä¸Ģ 个人", + "ä¸Ģ个 人", + "ĠFranti Å¡ek", + "n ÄĽji", + "nÄĽ ji", + "ï» ¨", + "ĠÙĦÙĦ د", + "Ġp okoj", + "Ġpok oj", + "Ġj ih", + "Ġji h", + "ãĢį ãĢĤ", + "Ġعبد اÙĦ", + "ãĤĵãģ§ ãģĦãĤĭ", + "Ġмод елÑĮ", + "ĠteÅŁ kil", + "ĠÄĮ er", + "à¹Ģà¸Ķ à¸Ńร", + "' na", + "'n a", + "λο γή", + "λογ ή", + "Ġ kola", + "Ġk ola", + "Ġko la", + "Ġkol a", + "ãĥĢ ãĥ¼", + "иÑĤ елем", + "иÑĤе лем", + "ĠÏĥÏħ νο", + "ĠÏĥÏħν ο", + "ĠK urum", + "ĠKur um", + "ĠKu rum", + "Ġsnad no", + "ĠاÙĦÙĤر Ø¢ÙĨ", + "ĠV á»ģ", + "é«ĺ ãģĦ", + "Ġyıl dız", + "Ġbir isi", + "Ġbiri si", + "Ġkh úc", + "ÙĪ ÛĮÙĦ", + "ÙĪÛĮ ÙĦ", + "æľĢ ä½³", + "Ġส าà¸Ĥ", + "ĠÐŁ ок", + "ĠÐŁÐ¾ к", + "âī ł", + "à¹Ĥà¸Ľà¸£ à¹ģà¸ģรม", + "à¥įय यन", + "èij ¡", + "Ġn ovÄĽ", + "Ġno vÄĽ", + "Ġnov ÄĽ", + "ay ıp", + "ayı p", + "ĠSing ap", + "ĠSin gap", + "è° ĵ", + "ãĤ¶ ãĤ¤ãĥ³", + "Ġн овÑĭе", + "Ġнов Ñĭе", + "Ġh ảo", + "Ġ èŤ", + "ĠèĹ ¤", + "ãĥ³ ãĥĸ", + "ãĥ³ãĥ ĸ", + "Âł ĊĊ", + "ÂłĊ Ċ", + "θ εια", + "θε ια", + "Ġпоп ада", + "ĠëĶĶ ìŀIJìĿ¸", + "Ġداشت ÙĨد", + "ĠداشتÙĨ د", + "ĠØ´ÙĨ اختÙĩ", + "Ïĥ μαÏĦα", + "Ïĥμα ÏĦα", + "å¹³æĸ¹ åħ¬éĩĮ", + "Ġg öl", + "Ġgö l", + "ек оÑĤоÑĢ", + "еко ÑĤоÑĢ", + "Ġm álo", + "Ġmá lo", + "Ġاج ازÙĩ", + "Ú© اراÙĨ", + "کار اÙĨ", + "کا راÙĨ", + "ĠпÑĸдпÑĢиÑĶм ÑģÑĤв", + "ä¸ī å¹´", + "ĠسÙģ ÛĮد", + "ĠμÎŃ ÏģοÏĤ", + "ÐĻ ÐĻ", + "Ġh Æ°", + "س ÙĪب", + "سÙĪ ب", + "ĠÙĦ ذا", + "Ġnem ovit", + "Ġd ÃŃv", + "ĠdÃŃ v", + "Ä° s", + "¶ ¶", + "Ġph Æ°á»Ŀng", + "ĠÙĨØŃ ÙĪÙĩ", + "ĠÙĨØŃÙĪ Ùĩ", + "Ð ĭ", + "Ġz byt", + "Ġzb yt", + "Ġzby t", + "ed ii", + "edi i", + "n ech", + "ne ch", + "ĠадмÑĸнÑĸÑģÑĤÑĢа ÑĤив", + "Ġne vÄĽ", + "Ġnev ÄĽ", + "Ġ ож", + "Ġо ж", + "ĠÄIJ ó", + "à¸Ľà¸£à¸° ว", + "Ġvhod né", + "Ġum ÄĽl", + "ĠÑĢазлиÑĩ нÑĭе", + "ĠpÅĻi roz", + "Ġبخ Ø´ÛĮ", + "Ġبخش ÛĮ", + "ãģ® 大", + "ĠاÙĦ ÙĥÙĩ", + "ĠاÙĦÙĥ Ùĩ", + "ec ká", + "eck á", + "Ġzorun lu", + "ĠÐľÐ¸Ðº ола", + "Ġ amel", + "Ġa mel", + "Ġam el", + "к овÑĭе", + "ков Ñĭе", + ": :::/", + ":: ::/", + ":::: /", + "::: :/", + "ä¸įåIJĮ çļĦ", + "ĠÙĪÙĥ اÙĨت", + "ĠÙĪÙĥاÙĨ ت", + "à¸Ń à¸Ń", + "lá sil", + "ĠпÑĢедпол аг", + "ï½ ±", + "Ġ νε", + "Ġν ε", + "Ġн овÑĭй", + "Ġнов Ñĭй", + "Ġìĺģíĸ¥ ìĿĦ", + "Ġê°Ģ ì§Ħ", + "åĥ ħ", + "Y D", + "Ġب اغ", + "Ġبا غ", + "ĠØ´Ú© ست", + "Ġgü ney", + "Ġgün ey", + "и ÑģÑĮ", + "иÑģ ÑĮ", + "ãģĭ ãģªãģĦ", + "ãģĭãģª ãģĦ", + "ĠT òa", + "Ġگرد ÛĮد", + "Ġگر دÛĮد", + "ØŃ ÙĦ", + "lu vÃŃ", + "luv ÃŃ", + "v éd", + "vé d", + "Ġìĺ ·", + "Ġε ÏĢα", + "ĠεÏĢ α", + "ĠÑĤи ÑģÑıÑĩ", + "ĠÑĤиÑģ ÑıÑĩ", + "Ġê½ ĥ", + "ĠP US", + "ĠPU S", + "ĠдÑĥм кÑĥ", + "Ġ âĢĿĊ", + "ĠâĢĿ Ċ", + "ĠìĬ¤ íı¬ì¸ł", + "Ùĩ Ùĩ", + "Ġg ắng", + "Ġgắn g", + "ิ à¸łà¸²à¸ŀ", + "éĩĮ éĿ¢", + "br ıs", + "Ġz áb", + "Ġzá b", + "κ αÏĤ", + "κα ÏĤ", + "ĠåıĮ 线", + "ล ล", + "ĠÄIJ Ãłi", + "ĠÄIJÃł i", + "åѸ æł¡", + "ĠÑĢаÑģп ÑĢед", + "ĠÑģÑĤан еÑĤ", + "ĠÑģÑĤа неÑĤ", + "Ġл ак", + "Ġла к", + "Ġпод к", + "Ġg ören", + "Ġgö ren", + "Ġgör en", + "Ġgöre n", + "르 ê³ł", + "ĠÑĦ ÑĢÑĥкÑĤ", + "íĵ¨ íĦ°", + "ãģĻ ãĤĮãģ°", + "ãĤĴ ä½ľ", + "à¸Ńà¸Ńà¸ģ à¹ģà¸ļà¸ļ", + "Ġku lak", + "Ġkul ak", + "ĠíĶĮ ëłĪìĿ´", + "ĠØŃ Ø¯ÙĬØ«", + "ĠØŃد ÙĬØ«", + "ãģĨ ãĤĵ", + "Ġм Ñĸк", + "ĠмÑĸ к", + "à¤ĩस à¤ķ", + "ĠÑĥ ÑĤоÑĩ", + "ĠÑĥÑĤ оÑĩ", + "ĠÙĥ Ø«ÙĬر", + "ĠY ine", + "ĠYi ne", + "ĠYin e", + "ัว หà¸Ļ", + "н ÑĸÑĹ", + "нÑĸ ÑĹ", + "åį ¢", + "Ñĥ Ñģлов", + "ÑĥÑģ лов", + "ìĽĮ íģ¬", + "Ġà¤ħ à¤ĸ", + "ĠÑĨ Ñĸка", + "ĠÑĨÑĸ ка", + "ìĦł ìĿĦ", + "ĠØ£ ر", + "гал ÑĤеÑĢ", + "angl icky", + "ĠÑģ оÑģÑĥд", + "ĠÑģоÑģ Ñĥд", + "ĠÑĥ Ñıв", + "ĠпÑĢодÑĥк ÑĨÑĸÑĹ", + "Ġc hua", + "Ġch ua", + "Ġchu a", + "Ġd án", + "Ġdá n", + "ाम à¤Ĺ", + "ئ ت", + "ĠФ ед", + "Ġh rom", + "Ġhr om", + "íķ´ ë³´", + "ĠØ¢ÙĨ ÙĦاÛĮÙĨ", + "- пÑĢав", + "-п ÑĢав", + "Ġì¤ijìļĶ íķľ", + "Ġв кÑĥ", + "Ġвк Ñĥ", + "Ġ 大éĺª", + "Ġ大 éĺª", + "Ġt erk", + "Ġte rk", + "Ġter k", + "Ġпод Ñĸб", + "ĠвÑĸд вÑĸд", + "à¥Į à¤Ł", + "è³ £", + "Ġب تÙĨ", + "Ġبت ÙĨ", + "Ġبع ضÛĮ", + "Ġبعض ÛĮ", + "ãģª ãģĬ", + "ä»ĸ åĢij", + "Ġtavs iye", + "ĠM ısır", + "ĠØ¥ Ø°", + "Ġ æIJ", + "Ġæ IJ", + "íķĺ ëĤĺ", + "ĠÙĪ Ø®", + "ãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠ ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢĠãĢĢ", + "ãĢĢĠãĢĢĠãĢĢĠãĢĢĠãĢĢ ĠãĢĢ", + "Ġta kový", + "Ġtak ový", + "Ġtako vý", + "Ġबन न", + "Ġз ÑĢениÑı", + "ĠÙĪ ÙģÙĤ", + "ĠÙĪÙģ ÙĤ", + "ë¹Ħ ìķĦ", + "Ġпом ожеÑĤ", + "åĮĹ å¸Ĥ", + "dık ları", + "Ġ éĵģ", + "Ġéĵ ģ", + "Ġakt uálnÃŃ", + "Ġaktu álnÃŃ", + "Ġв в", + "ãĤĤ ãģªãģĦ", + "íĨµ ìĭł", + "ÏĦα Ïĥη", + "Ġìĥģ ëĮĢ", + "Ġ æł¡", + "Ġæł ¡", + "ãĢĤ éĤ£", + "ĠرÙĪسÛĮ Ùĩ", + "Ġtelev izyon", + "å¹´ é¾Ħ", + "ĠÐijоÑĢ иÑģ", + "리 ìĸ´", + "Ġz veÅĻej", + "ж но", + "ĠÐŀ ÑģÑĤ", + "ĠÐŀÑģ ÑĤ", + "ĠмÑĥж Ñĩин", + "Ġy eÅŁil", + "ĠСов еÑĤ", + "ĠСо веÑĤ", + "ĠB ÃĸL", + "ĠТак ож", + "Ġob nov", + "ĠпÑĢи надлеж", + "ĠвиÑģ нов", + "Ø· Ùħ", + "ĠìĹĨ ìĸ´", + "ĠM ùa", + "ä½ı å®ħ", + "åĮ» åѦ", + "Ġна ÑĢез", + "ĠнаÑĢ ез", + "ãĥĭ ï¾Ĩ", + "ĠM ặt", + "Ġvu ông", + "ä¸Ģ åĮº", + "ĠẢ nh", + "ÑĢ иÑĦ", + "ÑĢи ÑĦ", + "ä¿Ŀ éĻ©", + "ĠÏĩÏģή Ïĥη", + "åIJĮ æĦı", + "Ġ æīĵ", + "Ġæī ĵ", + "e tÄĽ", + "et ÄĽ", + "ĠÙĪ Ø°ÙĦÙĥ", + "ĠÑĤ иж", + "ĠÑĤи ж", + "ĠÎŁ ικο", + "ĠÎŁÎ¹ κο", + "ĠмÑĸÑģ ÑĨÑĸ", + "ĠÑĢебен ок", + "ĠÅŀ ah", + "عÙĦ ÙĪÙħ", + "l adıģ", + "la dıģ", + "lad ıģ", + "ladı ÄŁ", + "Ġg iden", + "Ġgi den", + "Ġgid en", + "лив оÑģÑĤÑĸ", + "ливо ÑģÑĤÑĸ", + "ÙĴ س", + "ĠT HB", + "ĠTH B", + "Ġmes lek", + "Âł ÐĿе", + "ÂłÐĿ е", + "μÏĨ Ïīνα", + "Ġ ÙĪاج", + "ĠÙĪ اج", + "ĠÙĪا ج", + "на ÑģлÑĸд", + "æĺŁ æľŁ", + "ÐĶ ж", + "ĠÑĢабоÑĤ аеÑĤ", + "ĠÑĢабоÑĤа еÑĤ", + "Ġs ánh", + "ìļ° 리", + "Ġا بÙĪ", + "Ġاب ÙĪ", + "çļĦ æĥħ", + "ĠìĻ¸ êµŃ", + "Ġk abil", + "Ġka bil", + "Ġkab il", + "еÑĢв Ñĭе", + "Ġgi Ãłu", + "ĠgiÃł u", + "Ġt á»ı", + "Ġtá» ı", + "Âł Ðij", + "å®Į æķ´", + "Ġmuž ů", + "ĠpomÄĽr nÄĽ", + "ĠÙħ خصÙĪص", + "ĠÐĶ ем", + "ãĤı ãĤĮãĤĭ", + "ãĤıãĤĮ ãĤĭ", + "ĠпÑĢи бÑĭ", + "ĠпÑĢиб Ñĭ", + "ĠکاÙħ Ù¾ÛĮ", + "ï¼ Ń", + "Ġt rh", + "Ġtr h", + "ĠÐij олÑĮÑĪ", + "´ :", + "и ваеÑĤÑģÑı", + "ив аеÑĤÑģÑı", + "ива еÑĤÑģÑı", + "иваеÑĤ ÑģÑı", + "Ġ ìĤ¬íķŃ", + "ĠìĤ¬ íķŃ", + "è¿Ľ ä¸ĢæŃ¥", + "ÑĨ ей", + "ÑĨе й", + "ãģ¾ ãģļ", + "аÑĤ елем", + "аÑĤе лем", + "éĮ ¯", + "Ġžal ob", + "ÑĨ ез", + "ÑĨе з", + "и нÑĥв", + "ин Ñĥв", + "инÑĥ в", + "Ġver ze", + "Ġve rze", + "Ġverz e", + "åĽŀ åĪ°", + "Ġd ược", + "ائ ÙĬÙĦ", + "ائÙĬ ÙĦ", + "sto upil", + "stoup il", + "论 æĸĩ", + "ĠÐŁ аÑĢи", + "ĠÐŁÐ°ÑĢ и", + "Ġдек оÑĢаÑĤив", + "اخ تÛĮ", + "اخت ÛĮ", + "ĠÑģÑĤ ÑĢем", + "ĠÑģÑĤÑĢ ем", + "ãĥ»âĶģãĥ»âĶģ ãĥ»âĶģãĥ»âĶģ", + "ĠÑģам ой", + "ĠÑģамо й", + "Ñĩ ÑĤо", + "ìĥģ ëĭ´", + "âī ¤", + "ÑĤ ого", + "ÑĤо го", + "ëIJ ¨", + "ı lacak", + "ıl acak", + "ä¸Ń ãģ«", + "ĠÏħÏĢάÏģÏĩ οÏħν", + "ĠвÑĸд бÑĥ", + "ĠвÑĸдб Ñĥ", + "çİ »çĴĥ", + "Ġвп еÑĢед", + "ĠPl zeÅĪ", + "Ú¯ اب", + "à¹Ģศ รษà¸IJ", + "ï¼Į æľĢ", + "Ùħ ÙĨÛĮ", + "ÙħÙĨ ÛĮ", + "çħ§ çīĩ", + "缮 å½ķ", + "ÑĢиÑĤ ÑĤÑı", + "âĢĮ اش", + "Ġ ëĮĢíļĮ", + "ĠëĮĢ íļĮ", + "ĠÅĻ adu", + "- ÑĤеÑħ", + "-ÑĤ еÑħ", + "Ġ ÙĬÙĪ", + "ĠÙĬ ÙĪ", + "Ġ à¹ģà¸ŀ", + "Ġà¹ģ à¸ŀ", + "ا ÙĥÙĨ", + "اÙĥ ÙĨ", + "Ġ기 ìŀIJ", + "Ġг Ñĸд", + "Ġìļ° 리ëĬĶ", + "Ġìļ°ë¦¬ ëĬĶ", + "Ø´ ÙħارÛĮ", + "Ø´Ùħ ارÛĮ", + "Ġt icari", + "Ġtic ari", + "âij ¢", + "ĠاÙĦ بد", + "ĠاÙĦب د", + "ĠÑĢаÑģ Ñĩ", + "Ġ اÙĦÛĮ", + "Ġا ÙĦÛĮ", + "ĠاÙĦ ÛĮ", + "Ġsü rede", + "Ġsür ede", + "Ġsüre de", + "Ġاع تر", + "Ġпо нÑıÑĤÑĮ", + "Ġпон ÑıÑĤÑĮ", + "γ κο", + "γκ ο", + "ï¼Į æ¯Ķ", + "ĠS eb", + "ĠSe b", + "Ġìĭł ê·ľ", + "æĶ¶ çĽĬ", + "ĠÙ¾ÛĮØ´ÙĨÙĩ اد", + "Îľ ÎijΤ", + "ÎľÎij Τ", + "ë°Ķ ìĿ´", + "ä¾Ľ åºĶ", + "б ин", + "би н", + "人 æ°Ĺ", + "ãģı ãĤī", + "Ġsk vÄĽl", + "Ġëĵ± ìŀ¥", + "æĭħ å½ĵ", + "Ġim kan", + "æ Ļ¨", + "æĻ ¨", + "ï¼Į çİ°åľ¨", + "Ġsrd ce", + "ìĤ° ìĹħ", + "Ġмод ели", + "æľ¬å½ĵ ãģ«", + "а нка", + "ан ка", + "анк а", + "Ġyür üy", + "ĠоÑĩ евид", + "ĠØŃ Ø³ÙĬÙĨ", + "ĠØŃس ÙĬÙĨ", + "Ñī аÑİÑĤ", + "Ñīа ÑİÑĤ", + "lé dl", + "léd l", + "ÑĨ о", + "ĠcÃŃ sa", + "ãģĭ ãģij", + "èĹ į", + "ĠØ®ÙĪاÙĩ ÙĨد", + "Ġmu že", + "Ġmuž e", + "Ġна коп", + "Ġнак оп", + "di ÄŁini", + "diÄŁi ni", + "er seniz", + "ers eniz", + "ersen iz", + "ĠпÑĢаÑĨÑĸв никÑĸв", + "д лÑı", + "Ġα ÏĥÏĦ", + "ĠαÏĥ ÏĦ", + "æ¶Ī è´¹", + "Ġ è¨Ģ", + "Ġè¨ Ģ", + "Ġb át", + "ĠØ´ ÙĥÙĦ", + "ĠÑģп иÑĢ", + "ÏĢο ÏĦε", + "Ġس اÙĦÙĩ", + "ĠساÙĦ Ùĩ", + "e kil", + "ek il", + "eki l", + "à¹ģ à¸Ĭม", + "ĠÏĥ ÏĦι", + "ĠÙħ Ø·ÙĦب", + "ĠÙħØ· ÙĦب", + "Ġìłķ ì±ħ", + "ê´Ģ ê³Ħ", + "å¹¹ ç·ļ", + "Ġ 京", + "éĢļ éģİ", + "ĠدÛĮ گراÙĨ", + "ĠدÛĮگر اÙĨ", + "ĠØ£ Ùħا", + "ĠØ£Ùħ ا", + "æĺ¯ ä¸į", + "ĠëĮĢ ëĭµ", + "ĠE rk", + "ĠEr k", + "p erty", + "per ty", + "pert y", + "ĠнаÑĩина еÑĤ", + "Ġê·¸ 리", + "ë£ ¡", + "ĠìĽ¹ ìĤ¬ìĿ´íĬ¸", + "ार न", + "æĦı è¯Ĩ", + "ĠС ÐŁ", + "Ġب اÙĬد", + "Ġبا ÙĬد", + "Ġbakım ından", + "/ TT", + "/T T", + "ĠÙģ اصÙĦÙĩ", + "ĠÙħØ« ÙĦا", + "ĠÙħØ«ÙĦ ا", + "Ġк вад", + "Ġкв ад", + "ĠØ´ اÛĮد", + "ĠuÄį itel", + "çĪ ½", + "Ġعرض Ùĩ", + "Ġ 交", + "ĠÑĩ еÑģÑĤÑĮ", + "ĠÑĩеÑģ ÑĤÑĮ", + "à¥Ī ?Ċ", + "à¥Ī? Ċ", + "ĠخاÙĨ Ùħ", + "et iyle", + "eti yle", + "Ġε γκα", + "ĠÑģÑĥ Ñīе", + "ĠìĿ¼ ìĸ´", + "ĠÐĽ ени", + "ĠÐĽÐµ ни", + "Ġ 声", + "Ġå£ °", + "á lie", + "ál ie", + "áli e", + "ãĥ¡ ãĥ¼ãĤ¸", + "à¥Ģ तर", + "à¥Ģत र", + "г алÑĸ", + "га лÑĸ", + "гал Ñĸ", + "ĠмÑĸ нÑĸм", + "ĠE ÅŁ", + "ĠпÑĢоиз оÑĪ", + "ÐĿ аÑģ", + "ÐĿа Ñģ", + "Ġب ÙĨÛĮ", + "ĠبÙĨ ÛĮ", + "让 æĪij", + "ĠпоÑģÑĤ еп", + "ĠìļĶ 구", + "ılı p", + "ıl ıp", + "Ġج ÙĪر", + "ĠجÙĪ ر", + "ĠëĮĢ ë¶Ģë¶Ħ", + "à¹ĩ à¸ķาม", + "à¹ĩà¸ķ าม", + "ĠÑĦ аÑģ", + "Ġìłķ ê·ľ", + "ла менÑĤ", + "лам енÑĤ", + "ÄŁ en", + "ÄŁe n", + "à¥ĩà¤Ĥ ĊĊ", + "à¥ĩà¤ĤĊ Ċ", + "ĠÐĺ ванов", + "ĠØŃ Ú©Ùħ", + "ĠØŃÚ© Ùħ", + "Ġ ï¾ļ", + "Ġï¾ ļ", + "ï¼ »", + "Ġne vid", + "Ġnev id", + "Ġла боÑĢаÑĤоÑĢ", + "à¸ŀย าà¸ļาล", + "Ġed iyorum", + "Ġediyor um", + "Ġhl avy", + "Ġhlav y", + "ĠEvrop ské", + "Ġph ái", + "Ġphá i", + "ãĥĵ ãĥ¼", + "ê´ij ìĹŃìĭľ", + "äº ľ", + "ØŃد اث", + "ĠпÑĢоÑĦ илакÑĤи", + "ro stÅĻed", + "rost ÅĻed", + "Ġм алÑĮ", + "Ġмал ÑĮ", + "Ġма лÑĮ", + "Ġmü dür", + "ا ساس", + "اس اس", + "ĠгалÑĥз Ñĸ", + "ี à¸Ł", + "Ġغذ اÛĮÛĮ", + "åŃIJ ä¾Ľ", + "Ġbah sed", + "ĠKrál ové", + "åį »", + "Ġ %,", + "Ġ% ,", + "ç½Ĺ æĸ¯", + "ë ļ", + "Ġ çij", + "Ġç ij", + "Ġξε ÏĦα", + "ĠÐŃ ÑĤи", + "ĠíĨµ íķ©", + "Ġاک تبر", + "ĠmÄĽsÃŃ ce", + "ìĪĺ ë¡ľ", + "ÑĦ Ñĸк", + "ÑĦÑĸ к", + "ĠÐĴ оз", + "ĠÐĴо з", + "ÑĩеÑģ ким", + "Ñĩе Ñģким", + "ÑĩеÑģки м", + "ìļ´ ëĵľ", + "Ġná klady", + "Ġnáklad y", + "ĠпоÑĤ ÑĢап", + "ĠÑĢÑĥ каÑħ", + "ĠÑĢÑĥк аÑħ", + "ι λο", + "ιλ ο", + "ĠG ül", + "ĠGü l", + "ë© ĺ", + "à¹ī ย", + "m akt", + "ma kt", + "mak t", + "ãĥ³ ãĥIJãĥ¼", + "ãĥ³ãĥIJ ãĥ¼", + "Ġн ÑĸÑı", + "ĠнÑĸ Ñı", + "ĠоÑĤ ÑĤен", + "m esinin", + "mes inin", + "mesi nin", + "mesini n", + "ĠвÑģп ом", + "Ġ ìĿ´ëĬĶ", + "ĠìĿ´ ëĬĶ", + "dy by", + "ãĤ¿ ãĥ³", + "âĹ İ", + "à¹īา หà¸Ļ", + "à¹īาห à¸Ļ", + "اد Ú¯ÛĮ", + "Ïĩ ία", + "Ġsna žÃŃ", + "Ġà¤ļ à¤ķ", + "μή μα", + "Ġ Ùĥر", + "ĠÙĥ ر", + "Ġκ οι", + "Ġκο ι", + "éĢ ¸", + "Ġne ust", + "Ġneu st", + "ĠÙĨظ اÙħÛĮ", + "ĠÙĨظاÙħ ÛĮ", + "åįļ çī©", + "Ġ ë²½", + "Ġë² ½", + "á½ ±", + "Ġì¶ľ ìĭľ", + "Ġar má", + "Ġarm á", + "ĠÙĩÙħ کارÛĮ", + "çļĦ æĥħåĨµ", + "çļĦæĥħ åĨµ", + "ÙĤ اÙħ", + "ÙĤ ب", + "Ġ éĤ£", + "ĠéĤ £", + "Ġë§ ¡", + "Ġo lası", + "Ġol ası", + "Ġola sı", + "β ÎŃÏģ", + "ä½ķ ãģĭ", + "ĠÑĥÑĩ еб", + "Ġв Ñĥз", + "Ġبر گز", + "Ġبرگ ز", + "' yi", + "'y i", + "Ġп ÑĢазд", + "ĠпÑĢа зд", + "ĠÐŀ ÑĢг", + "ĠÐŀÑĢ г", + "Ġ 并", + "Ġå¹ ¶", + "ĠÑģ ви", + "ĠÑģв и", + "ĠÙħÛĮ داÙĨ", + "ĠnaÅ¡e ho", + "ĠBA Åŀ", + "å» Ĭ", + "Ì Ī", + "ãģĵ ãģĿ", + "à¹ĩà¸Ļ à¸ŀ", + "οÏģ ειο", + "Ġбаг аÑĤ", + "γ ει", + "γε ι", + "μ είο", + "με ίο", + "à¹Īà¸ĩ à¸Ĭาà¸ķ", + "ĠHizmet leri", + "ĠAfr ika", + "ĠAf rika", + "Ġted bir", + ", ､", + "ä¸ī 级", + "ÐİÑĭÑŁN ÐİÑĭÑŁN", + "ĠÐļ ÑĢÑĸм", + "Ġa ray", + "Ġar ay", + "Ġara y", + "Ġböyle ce", + "к оÑĤ", + "ко ÑĤ", + "éĻ °", + "åĽ½ éļĽ", + "t ÄĽl", + "tÄĽ l", + "Ġp olis", + "Ġpol is", + "Ġpo lis", + "Ġu vol", + "Ġuv ol", + "ĠìĪĺ ê°ķ", + "çĶµ èĦij", + "Ġs ami", + "Ġsa mi", + "Ġsam i", + "Ġشاخ Ùĩ", + "Ġв ÑģÑĮого", + "ĠвÑģ ÑĮого", + "ĠØŃد اÙĤÙĦ", + "Ġ iken", + "Ġi ken", + "Ġik en", + "ãĤ¯ãĥ© ãĥĸ", + "Ġzá vod", + "Ġzáv od", + "ब ल", + "ë°° ìĨ¡", + "éĩĩ è´Ń", + "ëł ¬", + "Ġ ।ĊĊ", + "Ġ। ĊĊ", + "Ġ।Ċ Ċ", + "Ġê°ģ ê°ģ", + "Ġм ак", + "Ġма к", + "Ïģα Ïĥη", + "ĠiÅŁlem i", + "ãģĹ ãģ¦ãģĦãģ¾ãģĻ", + "ãģĹãģ¦ ãģĦãģ¾ãģĻ", + "ãģĹãģ¦ãģĦ ãģ¾ãģĻ", + "ĠP ek", + "ĠPe k", + "Ñİ Ð½", + "Ġvel kou", + "Ġvelk ou", + "åĬŀ çIJĨ", + "å®ĥ 们", + "Ġ èIJ¬", + "ĠèIJ ¬", + "ĠнаÑĢод Ñĥ", + "ĠнаÑĢ одÑĥ", + "Ġch ó", + "ĠH iç", + "ĠHi ç", + "Û³ Ûµ", + "Ġ รà¸Ńà¸ļ", + "Ġร à¸Ńà¸ļ", + "Û³ Û¶", + "à¸Ĥ ว", + "ä½į æĸ¼", + "ĠС ÑĤа", + "ĠСÑĤ а", + "ั à¸Ļม", + "ัà¸Ļ ม", + "ाप à¤ķ", + "ĠÑĥ ÑĢок", + "ãĤ¢ ãĥ¡ãĥªãĤ«", + "Ġз мож", + "Ġзм ож", + "sk ému", + "ské mu", + "ském u", + "Ġ è»Ĭ", + "Ġè» Ĭ", + "ĠاختÛĮ ار", + "ĠP Åĺ", + "л Ñıв", + "лÑı в", + "Ġ маз", + "Ġм аз", + "Ġма з", + "Ġözel liÄŁi", + "åij¼ ãģ°", + "Ġbir inin", + "Ġbiri nin", + "Ġод не", + "Ì Ĩ", + "ä»ĸ ãģ®", + "建 ç¯ī", + "поÑģ еÑĢед", + "ห ลà¸Ķ", + "หล à¸Ķ", + "å¤ļ ãģĦ", + "ÏĦή ÏĥειÏĤ", + "Ġر ÙĪÙĨد", + "ĠرÙĪ ÙĨد", + "èģ ½", + "ì¤ij ìĹIJ", + "ìĬ¤ íĭ°", + "Ġз вÑĸÑĤ", + "Ġзв ÑĸÑĤ", + "ĠаÑĢ ÑĤи", + "Ġc Æ°á»Ŀi", + "ĠcÆ° á»Ŀi", + "ın dır", + "ınd ır", + "Ġг олод", + "Ġгол од", + "ا زد", + "از د", + "à¹Īาว ว", + "ãĥ¡ ãĥ©", + "عÙĨ ÙĪاÙĨ", + "% )Ċ", + "%) Ċ", + "ĠÑħолод илÑĮ", + "人 们", + "C Ä°", + "ÐĹ Ð°Ð¿", + "ÐĹа п", + "ĠpÅĻ isp", + "ĠpÅĻi sp", + "Ġdurum larda", + "ÑĢ Ñĸд", + "ÑĢÑĸ д", + "Âł У", + "Ġε ÏĨαÏģ", + "Ġs prav", + "Ġsp rav", + "Ġspr av", + "ĠоÑĤÑĢим аннÑı", + "ï¼Į 没æľī", + "о вала", + "ов ала", + "ова ла", + "овал а", + "Ġng ại", + "ãĢĤ 大", + "Ġ даеÑĤ", + "Ġд аеÑĤ", + "Ġда еÑĤ", + "ĠpÃŃs em", + "ÑĨ ÑıÑĤÑĮ", + "ÑĨÑı ÑĤÑĮ", + "ov nÄĽ", + "ë¦ ī", + "Ġê² ģ", + "Ñģ ÑĤин", + "ÑģÑĤ ин", + "ÑģÑĤи н", + "ĠS ayı", + "ĠSa yı", + "ĠSay ı", + "ãĢĭ çļĦ", + "Ġyol uyla", + "Ġyolu yla", + "елеÑĦ он", + "Ġr áno", + "Ġrá no", + "Ġíĸī ëıĻ", + "ĠاÙĦخاÙħ سة", + "Ġповин на", + "ÅĻ ila", + "ÅĻi la", + "ÅĻil a", + "Ġà¤ļ रण", + "Ġà¤ļर ण", + "Ġبرگ زار", + "Ġبرگز ار", + "ìļ´ ëį°", + "à¹Ģà¸Ľ à¸Ńร", + "Ġdal eko", + "led nÃŃ", + "åIJį 稱", + "лив ÑĸÑģÑĤÑĮ", + "ливÑĸ ÑģÑĤÑĮ", + "Ġ몸 ìĿĦ", + "о ÑĢÑĸв", + "оÑĢ Ñĸв", + "оÑĢÑĸ в", + "Ц е", + "بد Ø£", + "ë°ĺ 기", + "k rát", + "kr át", + "ä¸į 足", + "Ġolduk ları", + "len iyor", + "Ġìĭľ íĸī", + "ĠпÑĢи нимаÑĤÑĮ", + "à¸Ĥà¸Ńà¸ĩ ร", + "ÏĪ ει", + "ÏĪε ι", + "Ġ ẩn", + "ت س", + "ĠÑĤ ай", + "ĠÑĤа й", + "Ġнев озможно", + "åıĬ ãģ³", + "r oti", + "ro ti", + "rot i", + "ï½ Ń", + "д ом", + "до м", + "ой но", + "å£ Ĭ", + "说 çļĦ", + "Ġsk oro", + "ni ÄįnÃŃ", + "niÄį nÃŃ", + "ĠProf es", + "ĠÑħ ÑĢониÑĩеÑģ", + "Ġ주 문", + "ĠZ n", + "ĠÑģ лой", + "ĠÑģл ой", + "ĠÑģло й", + "Îł Ïģο", + "æĮĩ æķ°", + "ĠпеÑĢ еÑĪ", + "ĠпеÑĢе ÑĪ", + "à¥ģà¤ķ स", + "Ġê°Ģ ìłķ", + "Ġ íķĺë©´", + "Ġíķĺ ë©´", + "Û±Û¹ Û´", + "к Ñĥл", + "кÑĥ л", + "ÙĬ ÙĦا", + "ÙĬÙĦ ا", + "ĠدÙĪب ارÙĩ", + "| l", + "ĠÐľ Ñĥ", + "н ила", + "ни ла", + "нил а", + "ãģ¦ ãģĦãģ¾ãģĻ", + "ãģ¦ãģĦ ãģ¾ãģĻ", + "m acı", + "ma cı", + "mac ı", + "ãģŁ ãģ¡ãģ¯", + "ãģŁãģ¡ ãģ¯", + "ĠاÙĦÙĥ تاب", + "移 åĭķ", + "λ μ", + "_ ï¼ı", + "Ġê°Ģ ìŀħ", + "èħ ¾", + "ĠпÑĢез иденÑĤ", + "Ġë¶Ħ ìķ¼", + "a hy", + "ah y", + "Å¡et ÅĻenÃŃ", + "Å¡etÅĻ enÃŃ", + "éĵ º", + "ĠpÅĻÃŃ ro", + "Ðķ Т", + "ĠìļĶ ì²Ń", + "Ġmoh lo", + "Ġmohl o", + "å¿ĥ çIJĨ", + "Ġvysok é", + "& uuml", + "ÏĦ ικα", + "ÏĦικ α", + "ÏĦι κα", + "ìĹħ ì²´", + "ãģ§ ãģĤ", + "ราย à¸ĩาà¸Ļ", + "ĠpÅĻÃŃspÄĽ v", + "Ġet miÅŁtir", + "Ġetm iÅŁtir", + "ĠetmiÅŁ tir", + "她 们", + "ÏĢ λα", + "ÏĢλ α", + "ứ a", + "Ġ 说", + "Ġè¯ ´", + "ĠÑģо Ñģед", + "ĠÑģоÑģ ед", + "åĩ ī", + "ĠÐł е", + "åİŁ æĿ¥", + "ĠÐIJÑĢ Ñħ", + "ب ÙĬÙĨ", + "بÙĬ ÙĨ", + "åľ° 说", + "Ġ ört", + "Ġö rt", + "Ġör t", + "ĠΣ εÏĢ", + "ĠΣε ÏĢ", + "ÂŃ ÙĩاÛĮ", + "ĠاÙĦ اÙĤتص", + "å°½ 管", + "ÑĤ Ñĭй", + "ÑĤÑĭ й", + "t ains", + "ta ins", + "tain s", + "ÙĢ ÙĦ", + "ç§ijæĬĢ æľīéĻIJåħ¬åı¸", + "æı ®", + "ัà¸ķ à¸ĸ", + "á»Ĺ ng", + "ล าà¸Ķ", + "ลา à¸Ķ", + "æļ ®", + "ĠÙĨÙģ سÙĩ", + "ĠÙĨÙģس Ùĩ", + "Ġ çľĭ", + "Ġçľ ĭ", + "Ġ ãģ¿", + "Ġt arım", + "Ġtar ım", + "Û±Û¹ Ûµ", + "ĠÎ Ĭ", + "Ġkom plex", + "Ġkomple x", + "Ġkomp lex", + "ĠNh Ä©", + "è´¹ çĶ¨", + "Ġکاربر اÙĨ", + "ÅĪ ovánÃŃ", + "Ġ ků", + "Ġk ů", + "д ап", + "да п", + "Îķ Χ", + "ê·¸ ëŀĺ", + "Ġdön dü", + "人 åĵ¡", + "ĠT iá»ĥu", + "ĠÙĪÛĮر اÛĮØ´", + "Ġö ngör", + "ĠÙĪ غÙĬر", + "ĠÑģ кÑĢÑĭ", + "ĠÑģк ÑĢÑĭ", + "âĢIJ '", + "Ġ немÑĥ", + "Ġн емÑĥ", + "Ġне мÑĥ", + "Ġнем Ñĥ", + "ĠH á»ĩ", + "ĠHá» ĩ", + "Ġdüzen li", + "ĠsoutÄĽ že", + "ãĢģ ãĥŀ", + "ÏĦο μα", + "ÄĽ lÃŃ", + "ÄĽl ÃŃ", + "ĠØ£ ÙĦÙħاÙĨ", + "ĠØ£ÙĦ ÙħاÙĨ", + "çł ²", + "Ġtr Ãł", + "Ġ ä¸ĸçķĮ", + "Ġä¸ĸ çķĮ", + "ay ız", + "ayı z", + "ım lı", + "ĠاÙĦØ£ Ùģ", + "íķĺ ëĬĶëį°", + "íķĺëĬĶ ëį°", + "в ано", + "ва но", + "ван о", + "ĠpÅĻi Äįemž", + "Ùĥ ÙĬب", + "ÙĥÙĬ ب", + "ĠмаÑĤ емаÑĤи", + "м ени", + "мен и", + "ме ни", + "ĠпÑĢо екÑĤÑĥ", + "ĠпÑĢоек ÑĤÑĥ", + "ĠпÑĢоекÑĤ Ñĥ", + "ี à¹Ĥà¸Ń", + "ีà¹Ĥ à¸Ń", + "о Ñĥ", + "ĠاÙĦ شرÙĥØ©", + "ĠاÙĦشر ÙĥØ©", + "æ³ £", + "ÙĪÙĤ ÙĬت", + "ÑĪ ив", + "ÑĪи в", + "Ġperson el", + "Ġpersone l", + "Ġperso nel", + "Ø´ تر", + "شت ر", + "à¸Ķ า", + "Ġë ª½", + "Ġëª ½", + "åĿIJ åľ¨", + "о ке", + "ок е", + "Ġë§Ī ë²ķ", + "ĠØ£ ÙĨا", + "ĠØ£ÙĨ ا", + "ëł µ", + "ĠÙħب اÙĨÛĮ", + "èĭ ¹æŀľ", + "Ġ ศร", + "Ġศ ร", + "ĠÐĽ ÑĥÑĩ", + "ĠÐĽÑĥ Ñĩ", + "ÎŁ ΥΣ", + "ÎŁÎ¥ Σ", + "ĠÄį á", + "ãģĽ ãģ¦", + "Ġk Ä±ÅŁ", + "Ġkı ÅŁ", + "ÑĪ ев", + "ÑĪе в", + "æĮĩ 导", + "à¹ģละ ม", + "Ġvol eb", + "Ġvole b", + "ĠÑģи лÑĭ", + "ĠÑģил Ñĭ", + "Ġdruh ou", + "Ġdru hou", + "Ġ ì°¬", + "Ġì° ¬", + "ĠìŀĪ ìĿĮ", + "Î¥ Σ", + "ä¸į å®ī", + "Ġ ìĹĨìĿĮ", + "ĠìĹĨ ìĿĮ", + "Ġde term", + "Ġdet erm", + "Ġdeter m", + "ĠاÙĦÙħ عÙĦÙĪÙħات", + "íĺ ¹", + "âĻ ¡", + "à¥įब न", + "Ġخش Ú©", + "ĠN ová", + "ĠNo vá", + "ĠNov á", + "ĠÑĦÑĥнда менÑĤ", + "ĠпÑĢогÑĢам и", + "ĠпÑĢогÑĢа ми", + "ĠпÑĢог ÑĢами", + "ĠعÙĦ ÙĬÙĥ", + "ĠعÙĦÙĬ Ùĥ", + "। ĊĊ", + "।Ċ Ċ", + "Ġver iyor", + "Ġveri yor", + "Ġ ÑĶв", + "ĠÑĶ в", + "ĠìŀĪ ëĭ¤ê³ł", + "ĠìŀĪëĭ¤ ê³ł", + "ĠاÙĦØ£Ùħ رÙĬÙĥÙĬ", + "ĠاÙĦØ£Ùħر ÙĬÙĥÙĬ", + "Ġå¤ĸéĥ¨ ãĥªãĥ³ãĤ¯", + "Ġ ä¿®", + "Ġп ÑĥÑĤи", + "ĠпÑĥÑĤ и", + "ĠпÑĥ ÑĤи", + "Ġο Ïģγ", + "ĠоÑģнов ном", + "Ġ наÑĢÑĥж", + "Ġна ÑĢÑĥж", + "ĠнаÑĢ Ñĥж", + "Ġми ÑĢе", + "ĠмиÑĢ е", + "o vÄĽt", + "ov ÄĽt", + "ovÄĽ t", + "Ġíĥ IJ", + "Ġsok ak", + "Ġspolup ráci", + "ÐĶ Ðļ", + "Ġ åĺ", + "Ġå ĺ", + "âĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸį âĸįâĸįâĸįâĸįâĸįâĸįâĸįâĸį", + "Ġ ³³³³", + "ĠÂł ³³³", + "Ġ³³ ³³", + "Ġ³³³ Âł", + "Ġhay ır", + "Ġ ìĻĶ", + "ĠìĻ Ķ", + "æĤ¨ çļĦ", + "æĮ º", + "Ġ 민주", + "Ġ민 주", + "Ġhot elu", + "Ġhotel u", + "ี à¸ľ", + "ìŀIJ ëıĻ", + "ä¼¼ çļĦ", + "ÎŃν ÏĦÏģο", + "ÎŃνÏĦ Ïģο", + "Ø´ ÙĪ", + "Ġ é¤", + "Ġé ¤", + "Ġ λι", + "Ġλ ι", + "Ġol maktadır", + "Ġolmak tadır", + "ĠоÑģ веÑī", + "Ġв ина", + "Ġви на", + "Ġвин а", + "Ġخاص Ø©", + "r ana", + "ra na", + "ran a", + "γÏģα ÏĨή", + "γÏģαÏĨ ή", + "ÑĨ еÑģ", + "ÑĨе Ñģ", + "ĠdoÄŁru lt", + "ĠdoÄŁr ult", + "ĠÙĤرار داد", + "ĠÙĤرارد اد", + "ĠÐļ ал", + "ĠÐļа л", + "ê²½ ìłľ", + "Ïĩ ÏĮ", + "Ñĥ ÑİÑīий", + "ÑĥÑİ Ñīий", + "ÑĥÑİÑī ий", + "ëĭ ĺìĿ´", + "ëĭĺ ìĿ´", + "ë Į", + "л аз", + "ла з", + "Ġng ừng", + "i sku", + "is ku", + "isk u", + "ìĦł ê±°", + "ĠÑįлек ÑĤÑĢон", + "ĠÑįлекÑĤÑĢ он", + "ĠV oj", + "ĠVo j", + "н Ñıми", + "нÑı ми", + "ĠÙĪ Ø£ÙĨ", + "ĠÙĪØ£ ÙĨ", + "äº Ń", + "绣 计", + "ĠÅŁ iÅŁ", + "ĠÅŁi ÅŁ", + "ãĢį çļĦ", + "æŃ ¯", + "Ġкол лек", + "Ġд виж", + "Ġдв иж", + "Ġдви ж", + "Ġn á»Ńa", + "Äįas ÃŃ", + "Ġs onu", + "Ġso nu", + "Ġson u", + "ĠмеÑħ анÑĸз", + "ž ený", + "že ný", + "žen ý", + "Ġза ÑģÑĤÑĥп", + "ĠзаÑģÑĤ Ñĥп", + "ê´Ģ 볨", + "ĠÑĤоваÑĢ Ñĸв", + "ĠÑĤов аÑĢÑĸв", + "Ġ ì¼ĢìĿ´", + "Ġì¼ ĢìĿ´", + "à¥ģà¤Ĺ त", + "Ġzá sob", + "мов ÑĸÑĢ", + "u fac", + "uf ac", + "ů ležit", + "Ġви гоÑĤов", + "Ġвиг оÑĤов", + "ĠاÙĦÙĨ ÙĪ", + "Ġع اÙħا", + "ĠعاÙħ ا", + "æģ ¨", + "ĠìĿ´ë¯¸ ì§Ģ", + "Ġt voÅĻ", + "Ġtv oÅĻ", + "Ġvyu žitÃŃ", + "Ġgel iÅŁim", + "ĠgeliÅŁ im", + "ì³ ¤ëĭ¤", + "หà¸Ļ à¸Ńà¸ĩ", + "ĠìĿ¸ ìłķ", + "à¥į दर", + "à¥įद र", + "ĠпеÑĢед а", + "ĠпеÑĢе да", + "ĠздÑĸйÑģ неннÑı", + "ÙĨ ع", + "è¡£ æľį", + "Ġl oa", + "Ġlo a", + "íĻ Ī", + "èĭ± åĽ½", + "ĠD ruh", + "ĠDr uh", + "Ø® اÙĨ", + "д ам", + "да м", + "аÑĤелÑĮ нÑĭÑħ", + "θ ÏģÏİ", + "ĠØ£ Ùħر", + "ĠØ£Ùħ ر", + "ĠÅĻ ada", + "Ġbul uÅŁ", + "ĠÑĤÑĢанÑģп оÑĢ", + "ĠÑĤÑĢанÑģ поÑĢ", + "ĠÙĤ تÙĦ", + "ĠTa rif", + "ĠTar if", + "R us", + "Ru s", + "ĠзаÑģ Ñĸд", + "ĠÄ° h", + "l eyin", + "ley in", + "Ġvy rá", + "ĠD ÄĽ", + "иб ли", + "a vou", + "av ou", + "avo u", + "ĠÐĵеÑĢ м", + "н емÑĥ", + "не мÑĥ", + "нем Ñĥ", + "Ġкон ÑĨеп", + "ĠконÑĨе п", + "ĠÙĤ ادر", + "Ġsou bor", + "Ġl á»iji", + "Ġ çµIJ", + "Ġçµ IJ", + "л еннÑĭй", + "лен нÑĭй", + "κ Ïħ", + "Ġдопом аг", + "à¸ŀวà¸ģ à¹Ģà¸Ĥ", + "Ġqu ang", + "Ġq uang", + "Ġqua ng", + "Ġquan g", + "ĠØ· ÙĦا", + "ĠØ·ÙĦ ا", + "Ġ éĩĮ", + "Ġé ĩĮ", + "Ġéĩ Į", + "ĠÙĨÙħÙĪد ار", + "ĠÅŁ ar", + "ĠÑģп Ñĸл", + "ÂŃ n", + "ì§Ģ ìļĶ", + "åīį å¾Ģ", + "åħ³ éĶ®", + "å®ŀ åľ¨", + "éŁ³ 楽", + "ĠÙħسئ ÙĦÙĩ", + "Ġy eme", + "Ġye me", + "Ġyem e", + "ĠÑĪ аÑħ", + "기 ìĪł", + "Ġ สำà¸Ļ", + "Ġสำ à¸Ļ", + "ĠÙĪرزش ÛĮ", + "ĠÙĪرز Ø´ÛĮ", + "ãģĹ ãģŁãĤī", + "ãģĹãģŁ ãĤī", + "ί ÏĥÏī", + "ίÏĥ Ïī", + "о кон", + "ок он", + "око н", + "ãģŁ ãĤī", + "ĠØ¥ ÙĦÙĬÙĩ", + "ĠØ¥ÙĦÙĬ Ùĩ", + "ĠØ¥ÙĦ ÙĬÙĩ", + "Ġآذ رب", + "Ġr á»Ŀi", + "Ġod ak", + "Ġм огÑĥ", + "Ġмог Ñĥ", + "Ġмо гÑĥ", + "ĠÚ¯ ÙĨ", + "è² ¼", + "ed la", + "edl a", + "Ġоп ÑĭÑĤ", + "la maktadır", + "lamak tadır", + "å°¼ äºļ", + "éĥ½ ä¼ļ", + "ĠÎĺε ÏĥÏĥα", + "Ġв ог", + "Ġво г", + "ç»Ī äºİ", + "ĠÑĥÑĢов не", + "Ġv lak", + "Ġvl ak", + "ĠØ¢ ÙĦØ©", + "ĠØ¢ÙĦ Ø©", + "Ġε ιδ", + "Ġει δ", + "â ĩ", + "д ÑĥÑĤ", + "дÑĥ ÑĤ", + "Ñĸ нг", + "Ñĸн г", + "ĠØ£Ùħ رÙĬÙĥÙĬ", + "ĠØ£Ùħر ÙĬÙĥÙĬ", + "از ÙĨد", + "Ġب اÙĦØ£", + "ĠباÙĦ Ø£", + "Ġत न", + "Ġkay det", + "룬 리", + "Ġ drž", + "Ġd rž", + "Ġdr ž", + "Ġп енÑģ", + "Ġпен Ñģ", + "ĠpÅĻÃŃ Äį", + "ĠТ олÑĮко", + "Ġб аÑĤаÑĢ", + "Ġба ÑĤаÑĢ", + "éĵģ è·¯", + "ĠÙ¾ÛĮ ÚĨ", + "ĠÎĵ εÏī", + "ĠαÏħ ÏĦά", + "Äŀ I", + "ĠакÑĤив но", + "ÎĹ ÎľÎij", + "ÎĹÎľ Îij", + "Ġvar lık", + "Ġ åıª", + "Ġåı ª", + "ĠзаÑī иÑĤÑĭ", + "ĠзаÑīиÑĤ Ñĭ", + "л им", + "ли м", + "ĠÙħشاÙĩ دة", + "и ком", + "ик ом", + "Ġì¡° ìĤ¬", + "о ген", + "ог ен", + "Ġm ấy", + "g ii", + "gi i", + "èĽ ĩ", + "ĠØ® ÙĪÛĮØ´", + "ĠØ®ÙĪ ÛĮØ´", + "Ġn ová", + "Ġno vá", + "Ġnov á", + "к овой", + "ков ой", + "ково й", + "Ġkan ıt", + "Ġkanı t", + "éĿ¢ è®®", + "ĠرÙĪست ا", + "ìĸ´ ê°Ģ", + "ĠоÑĤноÑĪ ениÑı", + "Ġhodnot y", + "ÙĪ رات", + "ÙĪر ات", + "ÙĪرا ت", + "ĠpÅĻ ÃŃst", + "ĠpÅĻÃŃ st", + "Ġth á»į", + "Ġthá» į", + "Ġçık art", + "Ġçıkar t", + "Ġçı kart", + "о обÑĢаз", + "Ġnem ÄĽl", + "Âł ro", + "ĠدÙĪÙĦ تÛĮ", + "ĠدÙĪÙĦت ÛĮ", + "ี ,", + "ä¸Ģ 度", + "ia omi", + "iao mi", + "åĹ İ", + "Ùı ع", + "ĠваÑĢи ан", + "Ġpod aÅĻilo", + "ĠëĤĺ ê°Ģ", + "èIJ¥ ä¸ļ", + "ĠабÑģолÑİÑĤ но", + "Ġë¸Į ëĿ¼", + "ĠгоÑĢ из", + "a ģın", + "aÄŁ ın", + "aģı n", + "Ġyer ini", + "Ġyeri ni", + "à¹īา à¸Ļà¸Ķ", + "à¹īาà¸Ļ à¸Ķ", + "æIJ ¬", + "Ġb alık", + "Ġbal ık", + "Ġba lık", + "ĠÅŁ ans", + "认 è¯Ĩ", + "Ġistedi ÄŁiniz", + "Ġjist ÄĽ", + "Ġ ìĪĺê°Ģ", + "ĠìĪĺ ê°Ģ", + "ï¼Į ä¸Ĭ", + "à¤ľ ब", + "Ġви Ñıви", + "ĠвиÑıв и", + "ë§ ¥", + "ãģĹ ãģ¦ãĤĭ", + "ãģĹãģ¦ ãĤĭ", + "ÙĬÙĥ ا", + "ĠH üs", + "c ının", + "Ġश त", + "ĠÑĢаÑģп олаг", + "ĠÑģпÑĢав ж", + "ืà¸Ń à¸ĸ", + "ĠвеÑĢ ÑĤик", + "Ġvy stav", + "ĠÑĢе алÑĸзаÑĨÑĸÑĹ", + "в ами", + "ва ми", + "ãĤ¹ ãĥĨãĤ£", + "ãĤ¹ãĥĨ ãĤ£", + "ëħ ģ", + "ĠÑĢе ÑĩÑĸ", + "ĠÑĢеÑĩ Ñĸ", + "Ùģ اÙĦ", + "िà¤ķ à¤Ł", + "ĠвозÑĢаÑģÑĤ е", + "к аÑģ", + "ка Ñģ", + "ĠÐĺ Ñģ", + "Ġл Ñĸк", + "ĠлÑĸ к", + "ĠÏĥη μαν", + "м енÑĤÑĥ", + "мен ÑĤÑĥ", + "менÑĤ Ñĥ", + "н ÑıÑİÑĤ", + "нÑı ÑİÑĤ", + "æŁ ´", + "Ġθ εÏī", + "Ġθε Ïī", + "çĬ¯ 罪", + "ĠÙĤ طر", + "ĠÙĤØ· ر", + "ÐĶ ÐIJ", + "- |", + "Ġ ÑģÑĤÑĸ", + "ĠÑģ ÑĤÑĸ", + "ĠÑģÑĤ Ñĸ", + "Ġu yum", + "Ġuy um", + "Ġpot ÅĻeba", + "ĠpotÅĻeb a", + "ĠعÙħÙĦ ÛĮات", + "ĠعÙħÙĦÛĮ ات", + "å¥ ª", + "ا خر", + "اخ ر", + "ĠÚ© ساÙĨÛĮ", + "ت Ùħر", + "تÙħ ر", + "ÑĮ еÑĢ", + "ÑĮе ÑĢ", + "ĠN ez", + "ĠNe z", + "íļĮ ìĤ¬", + "ĠBank ası", + "е гÑĢа", + "ег ÑĢа", + "à¸Ĥà¸ĵะ à¸Ĺ", + "åIJĪ æł¼", + "ĠìŬ룬 ë¶Ħ", + "y asal", + "ya sal", + "yas al", + "Ġ è¡ĮæĶ¿", + "Ġè¡Į æĶ¿", + "åĬ ī", + "dık tan", + "ãĤ¢ãĥ« ãĥIJ", + "ĠاÛĮÙĨ ÚĨ", + "Ġdij ital", + "å° ĺ", + "ĠÑĢаз меÑī", + "ĠÑĢазм еÑī", + "ĠкÑĸлÑĮ коÑģÑĤÑĸ", + "ĠEv ropy", + "ĠEvrop y", + "ĠÑĢоз ви", + "ÑİÑī ÑĥÑİ", + "Ġ ong", + "Ġo ng", + "Ġon g", + "Ġhe psi", + "Ġhep si", + "v ailability", + "vail ability", + "Ġتص ÙħÙĬÙħ", + "ĠتصÙħ ÙĬÙħ", + "Ñĥ йÑĤе", + "Ñĥй ÑĤе", + "ह ल", + "ĠÅ¡ iro", + "Ġp ás", + "Ġpá s", + ";; ;;;;", + ";;;; ;;", + ";;; ;;;", + "éħį åIJĪ", + "ĠاÙĦعاÙĦÙħ ÙĬØ©", + "ÐĴ о", + "h af", + "ha f", + "l áv", + "lá v", + "Ġb ì", + "Ġm ůj", + "Ġmů j", + "ê»ĺ ìĦľ", + "ÂłB f", + "ĠÑģпÑĢоÑģ ил", + "âĢĮÚ©ÙĨ ÙĨدÙĩ", + "âĢĮÚ©ÙĨÙĨد Ùĩ", + "ÙĨد ÙĬØ©", + "ÙĨدÙĬ Ø©", + "çī¹ èī²", + "Ġìķ ¨", + "ุษ ย", + "ĠФ оÑĢ", + "пиÑģ ок", + "пи Ñģок", + "u žel", + "ım lar", + "çĬ¶ æ³ģ", + "Ġãĥ¬ ãĥĩãĤ£ãĥ¼ãĤ¹", + "Ñħ ови", + "Ñħов и", + "Ñħо ви", + "ÂłK Äį", + "Ñĩ им", + "Ñĩи м", + "Ġت ÙĪÙħ", + "ĠتÙĪ Ùħ", + "à¹Ģà¸ģษ à¸ķร", + "Ġìĭ± ê¸Ģ", + "Ùħ ارات", + "Ùħا رات", + "Ùħار ات", + "ê nh", + "ên h", + "ĠÅĻ id", + "æĬ ¬", + "Ñģ иÑİ", + "Ñģи Ñİ", + "æħ İ", + "Ġçev re", + "Ġçevr e", + "ãĥĪ ãĥ«", + "Ġyıl dır", + "Ġzá znam", + "Ġzáz nam", + "æľº åľº", + "Ġпо ÑĶ", + "ĠвÑĭ ÑĢаÑīи", + "Ġ Ùģع", + "ĠÙģ ع", + "ë »", + "Ġدار ÛĮÙħ", + "ï¼Į æĽ´", + "Ġзем ли", + "اب ÙĤات", + "ابÙĤ ات", + "Ġm á»Ŀi", + "Ġmá» Ŀi", + "k ých", + "ký ch", + "ÙĦ اة", + "ÙĦا Ø©", + "å¸ ½", + "بر اÙĩÙĬÙħ", + "Ġпо баÑĩ", + "Ġпоб аÑĩ", + "Ġпоба Ñĩ", + "ाà¤ĩ म", + "à¹Īาà¸ĩ à¸Ľà¸£à¸°à¹Ģà¸Ĺศ", + "ĠìĦ¸ ìĥģ", + "Ġпомог аеÑĤ", + "ĠÏĦÏĮ Ïĥο", + "æĸ ·", + "ĠÙģر اÙĪ", + "à¹Ħà¸Ľ ย", + "erg isi", + "Ġ éĻIJ", + "ĠéĻ IJ", + ". xz", + ".x z", + "ĠÑģл ÑĥÑħ", + "ĠÑģлÑĥ Ñħ", + "е коном", + "ек оном", + "еко ном", + "ĠNh ất", + "± Ø·", + "ĠëĪĪ ìĿĦ", + "Ġ íļĮìĤ¬", + "ĠíļĮ ìĤ¬", + "Ñ ĵ", + "Ġ åIJįçĦ¡ãģĹ", + "ĠåIJį çĦ¡ãģĹ", + "Ġομά δα", + "ĩ Į", + "li ÄŁinin", + "liÄŁi nin", + "liÄŁ inin", + "liÄŁini n", + "liÄŁin in", + "ع اÙĨ", + "عا ÙĨ", + "Ġز ÙĨÛĮ", + "ĠزÙĨ ÛĮ", + "T ôi", + "Ġet ki", + "Ġetk i", + "ĠìĹ° ëĿ½", + "Ġкон ÑĨа", + "è° ĭ", + "Ġзем лÑı", + "íĻĺ ê²½", + "ĠÙħÚ© اÙĨÛĮ", + "ĠÙħکاÙĨ ÛĮ", + "çĸ ²", + "Ġ ç¢", + "Ġç ¢", + "Ġkur ulan", + "Ġkurul an", + "Ġkuru lan", + "ؤ ÙĪÙĦ", + "د Ùī", + "ĠاÙĦÙħÙĨ Ø·ÙĤØ©", + "Ġn ắng", + "ÐŁ Ðļ", + "ол ай", + "ола й", + "Y K", + "åij Ĩ", + "λ αν", + "λα ν", + "西 çľģ", + "ĠÎĴ αÏĥ", + "ĠÎĴα Ïĥ", + "ĠíĻķ ìĭ¤", + "Z D", + "п Ñĸд", + "Ġ наÑĩе", + "Ġн аÑĩе", + "Ġна Ñĩе", + "ĠнаÑĩ е", + "Ġ ÏĦά", + "ĠÏĦ ά", + "å½ »", + "âĢŀ D", + "Ġ èĩº", + "Ġèĩ º", + "Ġна ÑĪей", + "ĠнаÑĪ ей", + "ĠtÃŃm to", + "Ġت سÙħ", + "Ġتس Ùħ", + "Ïģθ Ïģο", + "令 人", + "ĠP azar", + "ĠPa zar", + "ĠPaz ar", + "ãĤĵ ãģ¨", + "ç«ĭ åĪ»", + "Âģ @", + "Ġb ắc", + "ìĬ¤ íħĮ", + "Ġkadın lar", + "fig ur", + "ãģ¤ ãģ¶", + "Ġæµ Ļæ±Ł", + "Ġдек ÑĸлÑĮ", + "è¡ Ŀ", + "ยà¸Ļ à¹ģà¸Ľà¸¥à¸ĩ", + "o let", + "ol et", + "ole t", + "Ġned ok", + "n amen", + "name n", + "na men", + "nam en", + "åħĦ å¼Ł", + "ืà¸Ń à¸Ĥ", + "èĤ ĥ", + "Ġb üny", + "Ġbü ny", + "ĠÑĢад Ñıн", + "ãĢģ äºĮ", + "ан нÑİ", + "Ġ æīĭæľº", + "Ġæīĭ æľº", + "ĠоÑģ лож", + "Ġо глÑı", + "Ġог лÑı", + "Ġسب ز", + "Ġaktiv it", + "Ġà¤ı प", + "ç« ľ", + "Ġd iren", + "Ġdi ren", + "Ġdir en", + "Ġdire n", + "i в", + "ĠY atırım", + "ÑĨÑĸй на", + "Ġдо мов", + "Ġдом ов", + "ẳ n", + "ĠC oÄŁraf", + "Ùģ ÙĪ", + "æ°Ĺ ãģ«åħ¥", + "ç§ģ ãģ®", + "ï½ į", + "à¥Į ड", + "ĠÐĵÑĢи гоÑĢ", + "ĠP eygamber", + "ĠPey gamber", + "Ġα γα", + "Ġαγ α", + "Ġef ekt", + "ĠìŀĪ ìĸ´ìĦľ", + "ĠìŀĪìĸ´ ìĦľ", + "ĠплаÑĤ еж", + "ĠT rab", + "ĠTr ab", + "ĠTra b", + "o very", + "ov ery", + "ove ry", + "over y", + "âĢ¦âĢ¦ ãĢĤ", + "Ġyap maya", + "Ġнайб ÑĸлÑĮ", + "ĠÙħÙĨ زÙĦ", + "ÙĪ ÙĬÙĥ", + "ÙĪÙĬ Ùĥ", + "ıl dıģında", + "ıldı ģında", + "ıldıģı nda", + "ĠpÅĻÃŃpad nÄĽ", + "ĠμÏĢο ÏģοÏį", + "Ġëĵľ ëĿ¼ë§Ī", + "Ġë°© 문", + "ĠС им", + "ĠСи м", + "Ú© ات", + "کا ت", + "е ком", + "ек ом", + "еко м", + "ر ÙĬع", + "رÙĬ ع", + "Ùĩد Ùģ", + "æĹı èĩªæ²»", + "Ġzm ÄĽn", + "ĠzmÄĽ n", + "Ġв клад", + "Ġвк лад", + "Ġ بÙĦغ", + "ĠبÙĦ غ", + "Ġ ç§ĭ", + "Ġç§ ĭ", + "N gh", + "Ng h", + "Ġend iÅŁ", + "ĠCumhurbaÅŁ kanı", + "ĠK af", + "ĠKa f", + "Ġ à¹ģหล", + "Ġà¹ģ หล", + "Ġmut lu", + "ĠÑģ иÑĢ", + "ĠÑģи ÑĢ", + "Ġг Ñĥм", + "æ¿ ĥ", + "çĤ ī", + "ĠB áo", + "à¥Ĥ ष", + "Ġìłķ íĻķ", + "ान स", + "ï» ¤", + "наÑģлÑĸд ок", + "po Äįet", + "poÄį et", + "ë§ĮìĽIJ ìŀħëĭĪëĭ¤", + "ĠìĦľìļ¸ íĬ¹ë³Ħìĭľ", + "Îķ ÎĻΣ", + "ÎķÎĻ Σ", + "ุม à¸Ĭà¸Ļ", + "Ġм ÑĸлÑĮ", + "ĠмÑĸ лÑĮ", + "æ ħĮ", + "æħ Į", + "Ïĥκε ÏĦαι", + "Ïĥκ εÏĦαι", + "Ġ ãĢľ", + "ĠãĢ ľ", + "Ġkal iteli", + "ĠÑģмеÑĢ ÑĤÑĮ", + "è¼ Ķ", + "Ġ биÑĤ", + "Ġб иÑĤ", + "Ġби ÑĤ", + "ĠΣ ÏĦο", + "à¸ĩà¹Ģศ ส", + "åİŁ æľ¬", + "Ġk nÃŃ", + "Ġkn ÃŃ", + "äºĴ èģĶç½ij", + "ĠÑĩеловеÑĩ еÑģ", + "çŃ Ĵ", + "à¸Īำ หà¸Ļ", + "åĩº åİ»", + "ãĤ¢ ãĥĭãĥ¡", + "å±ķ 示", + "r ych", + "ry ch", + "à¤ħ ब", + "o ÅĪ", + "jÃŃ cÃŃm", + "jÃŃcÃŃ m", + "ا ØŃØ«", + "اØŃ Ø«", + "ĠÙĪاÙĤع ÛĮ", + "ĠФедеÑĢа лÑĮ", + "ĠФед еÑĢалÑĮ", + "Ñģ ам", + "Ñģа м", + "Ġ ìĺ¥", + "Ġìĺ ¥", + "åľ° çIJĥ", + "Ġs uyu", + "Ġsu yu", + "Ġsuy u", + "s eniz", + "sen iz", + "à¥ī फ", + "Ġê°Ļ ëĭ¤", + "ĠпÑĢизна ÑĩеннÑı", + "ĠпÑĢизнаÑĩ еннÑı", + "ĠS ın", + "ĠSı n", + "ĠاÙħÙĨ ÛĮت", + "Ġl átky", + "ĠÐij и", + "Ġsür eci", + "Ġsüre ci", + "Ġsürec i", + "·· ··", + "Ġê²½ ì°°", + "Ġк алÑĮ", + "Ġка лÑĮ", + "Ġкал ÑĮ", + "Ġник ÑĤо", + "Ùij Ùħ", + "ĠدÙĬ گر", + "Ġalın ması", + "л еннÑĸ", + "лен нÑĸ", + "ิว à¹Ģà¸ķà¸Ńร", + "à¸Ľà¸ģ à¸Ħรà¸Ńà¸ĩ", + "Ġзаконодав ÑģÑĤва", + "ãĢĢ ãĤ¤", + "Ġëħ¸ íķĺìļ°", + "ĠD Ã¼ÅŁ", + "Ġг ÑĥÑģÑĤ", + "ĠÐĴ аÑĪ", + "ĠاÙħ تÛĮ", + "Ġpar amet", + "Ġparam et", + "Ġpara met", + "ĠÎłÎ±Î½ εÏĢ", + "à¹Į à¸ģร", + "à¹Įà¸ģ ร", + "ζ α", + "ĠëįĶ ìļ±", + "ÙĪ ÙĦات", + "ÙĪÙĦ ات", + "ÙĪÙĦا ت", + "в аÑĤиÑģÑı", + "ва ÑĤиÑģÑı", + "ваÑĤи ÑģÑı", + "Ġk ök", + "Ġkö k", + "ÙĨ ب", + "ĠвÑĭÑģок ой", + "ãĥ¼ ãĥ¼", + "ãĥ¼ãĥ ¼", + "éĶ ¦" + ] + } +} \ No newline at end of file diff --git a/comfy/text_encoders/llama_tokenizer/tokenizer_config.json b/comfy/text_encoders/llama_tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..0b336f5a5199c43e7305481f4e9e26e292b2f0fc --- /dev/null +++ b/comfy/text_encoders/llama_tokenizer/tokenizer_config.json @@ -0,0 +1,2095 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "add_prefix_space": null, + "added_tokens_decoder": { + "128000": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128001": { + "content": "<|end_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128002": { + "content": "<|reserved_special_token_0|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128003": { + "content": "<|reserved_special_token_1|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128004": { + "content": "<|reserved_special_token_2|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128005": { + "content": "<|reserved_special_token_3|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128006": { + "content": "<|start_header_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128007": { + "content": "<|end_header_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128008": { + "content": "<|reserved_special_token_4|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128009": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128010": { + "content": "<|reserved_special_token_5|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128011": { + "content": "<|reserved_special_token_6|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128012": { + "content": "<|reserved_special_token_7|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128013": { + "content": "<|reserved_special_token_8|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128014": { + "content": "<|reserved_special_token_9|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128015": { + "content": "<|reserved_special_token_10|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128016": { + "content": "<|reserved_special_token_11|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128017": { + "content": "<|reserved_special_token_12|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128018": { + "content": "<|reserved_special_token_13|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128019": { + "content": "<|reserved_special_token_14|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128020": { + "content": "<|reserved_special_token_15|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128021": { + "content": "<|reserved_special_token_16|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128022": { + "content": "<|reserved_special_token_17|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128023": { + "content": "<|reserved_special_token_18|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128024": { + "content": "<|reserved_special_token_19|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128025": { + "content": "<|reserved_special_token_20|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128026": { + "content": "<|reserved_special_token_21|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128027": { + "content": "<|reserved_special_token_22|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128028": { + "content": "<|reserved_special_token_23|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128029": { + "content": "<|reserved_special_token_24|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128030": { + "content": "<|reserved_special_token_25|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128031": { + "content": "<|reserved_special_token_26|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128032": { + "content": "<|reserved_special_token_27|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128033": { + "content": "<|reserved_special_token_28|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128034": { + "content": "<|reserved_special_token_29|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128035": { + "content": "<|reserved_special_token_30|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128036": { + "content": "<|reserved_special_token_31|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128037": { + "content": "<|reserved_special_token_32|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128038": { + "content": "<|reserved_special_token_33|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128039": { + "content": "<|reserved_special_token_34|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128040": { + "content": "<|reserved_special_token_35|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128041": { + "content": "<|reserved_special_token_36|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128042": { + "content": "<|reserved_special_token_37|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128043": { + "content": "<|reserved_special_token_38|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128044": { + "content": "<|reserved_special_token_39|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128045": { + "content": "<|reserved_special_token_40|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128046": { + "content": "<|reserved_special_token_41|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128047": { + "content": "<|reserved_special_token_42|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128048": { + "content": "<|reserved_special_token_43|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128049": { + "content": "<|reserved_special_token_44|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128050": { + "content": "<|reserved_special_token_45|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128051": { + "content": "<|reserved_special_token_46|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128052": { + "content": "<|reserved_special_token_47|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128053": { + "content": "<|reserved_special_token_48|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128054": { + "content": "<|reserved_special_token_49|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128055": { + "content": "<|reserved_special_token_50|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128056": { + "content": "<|reserved_special_token_51|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128057": { + "content": "<|reserved_special_token_52|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128058": { + "content": "<|reserved_special_token_53|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128059": { + "content": "<|reserved_special_token_54|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128060": { + "content": "<|reserved_special_token_55|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128061": { + "content": "<|reserved_special_token_56|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128062": { + "content": "<|reserved_special_token_57|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128063": { + "content": "<|reserved_special_token_58|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128064": { + "content": "<|reserved_special_token_59|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128065": { + "content": "<|reserved_special_token_60|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128066": { + "content": "<|reserved_special_token_61|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128067": { + "content": "<|reserved_special_token_62|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128068": { + "content": "<|reserved_special_token_63|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128069": { + "content": "<|reserved_special_token_64|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128070": { + "content": "<|reserved_special_token_65|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128071": { + "content": "<|reserved_special_token_66|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128072": { + "content": "<|reserved_special_token_67|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128073": { + "content": "<|reserved_special_token_68|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128074": { + "content": "<|reserved_special_token_69|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128075": { + "content": "<|reserved_special_token_70|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128076": { + "content": "<|reserved_special_token_71|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128077": { + "content": "<|reserved_special_token_72|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128078": { + "content": "<|reserved_special_token_73|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128079": { + "content": "<|reserved_special_token_74|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128080": { + "content": "<|reserved_special_token_75|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128081": { + "content": "<|reserved_special_token_76|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128082": { + "content": "<|reserved_special_token_77|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128083": { + "content": "<|reserved_special_token_78|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128084": { + "content": "<|reserved_special_token_79|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128085": { + "content": "<|reserved_special_token_80|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128086": { + "content": "<|reserved_special_token_81|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128087": { + "content": "<|reserved_special_token_82|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128088": { + "content": "<|reserved_special_token_83|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128089": { + "content": "<|reserved_special_token_84|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128090": { + "content": "<|reserved_special_token_85|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128091": { + "content": "<|reserved_special_token_86|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128092": { + "content": "<|reserved_special_token_87|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128093": { + "content": "<|reserved_special_token_88|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128094": { + "content": "<|reserved_special_token_89|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128095": { + "content": "<|reserved_special_token_90|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128096": { + "content": "<|reserved_special_token_91|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128097": { + "content": "<|reserved_special_token_92|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128098": { + "content": "<|reserved_special_token_93|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128099": { + "content": "<|reserved_special_token_94|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128100": { + "content": "<|reserved_special_token_95|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128101": { + "content": "<|reserved_special_token_96|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128102": { + "content": "<|reserved_special_token_97|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128103": { + "content": "<|reserved_special_token_98|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128104": { + "content": "<|reserved_special_token_99|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128105": { + "content": "<|reserved_special_token_100|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128106": { + "content": "<|reserved_special_token_101|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128107": { + "content": "<|reserved_special_token_102|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128108": { + "content": "<|reserved_special_token_103|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128109": { + "content": "<|reserved_special_token_104|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128110": { + "content": "<|reserved_special_token_105|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128111": { + "content": "<|reserved_special_token_106|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128112": { + "content": "<|reserved_special_token_107|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128113": { + "content": "<|reserved_special_token_108|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128114": { + "content": "<|reserved_special_token_109|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128115": { + "content": "<|reserved_special_token_110|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128116": { + "content": "<|reserved_special_token_111|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128117": { + "content": "<|reserved_special_token_112|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128118": { + "content": "<|reserved_special_token_113|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128119": { + "content": "<|reserved_special_token_114|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128120": { + "content": "<|reserved_special_token_115|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128121": { + "content": "<|reserved_special_token_116|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128122": { + "content": "<|reserved_special_token_117|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128123": { + "content": "<|reserved_special_token_118|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128124": { + "content": "<|reserved_special_token_119|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128125": { + "content": "<|reserved_special_token_120|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128126": { + "content": "<|reserved_special_token_121|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128127": { + "content": "<|reserved_special_token_122|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128128": { + "content": "<|reserved_special_token_123|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128129": { + "content": "<|reserved_special_token_124|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128130": { + "content": "<|reserved_special_token_125|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128131": { + "content": "<|reserved_special_token_126|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128132": { + "content": "<|reserved_special_token_127|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128133": { + "content": "<|reserved_special_token_128|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128134": { + "content": "<|reserved_special_token_129|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128135": { + "content": "<|reserved_special_token_130|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128136": { + "content": "<|reserved_special_token_131|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128137": { + "content": "<|reserved_special_token_132|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128138": { + "content": "<|reserved_special_token_133|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128139": { + "content": "<|reserved_special_token_134|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128140": { + "content": "<|reserved_special_token_135|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128141": { + "content": "<|reserved_special_token_136|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128142": { + "content": "<|reserved_special_token_137|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128143": { + "content": "<|reserved_special_token_138|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128144": { + "content": "<|reserved_special_token_139|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128145": { + "content": "<|reserved_special_token_140|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128146": { + "content": "<|reserved_special_token_141|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128147": { + "content": "<|reserved_special_token_142|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128148": { + "content": "<|reserved_special_token_143|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128149": { + "content": "<|reserved_special_token_144|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128150": { + "content": "<|reserved_special_token_145|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128151": { + "content": "<|reserved_special_token_146|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128152": { + "content": "<|reserved_special_token_147|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128153": { + "content": "<|reserved_special_token_148|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128154": { + "content": "<|reserved_special_token_149|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128155": { + "content": "<|reserved_special_token_150|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128156": { + "content": "<|reserved_special_token_151|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128157": { + "content": "<|reserved_special_token_152|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128158": { + "content": "<|reserved_special_token_153|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128159": { + "content": "<|reserved_special_token_154|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128160": { + "content": "<|reserved_special_token_155|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128161": { + "content": "<|reserved_special_token_156|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128162": { + "content": "<|reserved_special_token_157|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128163": { + "content": "<|reserved_special_token_158|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128164": { + "content": "<|reserved_special_token_159|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128165": { + "content": "<|reserved_special_token_160|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128166": { + "content": "<|reserved_special_token_161|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128167": { + "content": "<|reserved_special_token_162|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128168": { + "content": "<|reserved_special_token_163|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128169": { + "content": "<|reserved_special_token_164|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128170": { + "content": "<|reserved_special_token_165|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128171": { + "content": "<|reserved_special_token_166|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128172": { + "content": "<|reserved_special_token_167|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128173": { + "content": "<|reserved_special_token_168|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128174": { + "content": "<|reserved_special_token_169|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128175": { + "content": "<|reserved_special_token_170|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128176": { + "content": "<|reserved_special_token_171|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128177": { + "content": "<|reserved_special_token_172|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128178": { + "content": "<|reserved_special_token_173|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128179": { + "content": "<|reserved_special_token_174|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128180": { + "content": "<|reserved_special_token_175|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128181": { + "content": "<|reserved_special_token_176|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128182": { + "content": "<|reserved_special_token_177|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128183": { + "content": "<|reserved_special_token_178|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128184": { + "content": "<|reserved_special_token_179|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128185": { + "content": "<|reserved_special_token_180|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128186": { + "content": "<|reserved_special_token_181|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128187": { + "content": "<|reserved_special_token_182|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128188": { + "content": "<|reserved_special_token_183|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128189": { + "content": "<|reserved_special_token_184|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128190": { + "content": "<|reserved_special_token_185|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128191": { + "content": "<|reserved_special_token_186|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128192": { + "content": "<|reserved_special_token_187|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128193": { + "content": "<|reserved_special_token_188|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128194": { + "content": "<|reserved_special_token_189|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128195": { + "content": "<|reserved_special_token_190|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128196": { + "content": "<|reserved_special_token_191|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128197": { + "content": "<|reserved_special_token_192|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128198": { + "content": "<|reserved_special_token_193|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128199": { + "content": "<|reserved_special_token_194|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128200": { + "content": "<|reserved_special_token_195|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128201": { + "content": "<|reserved_special_token_196|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128202": { + "content": "<|reserved_special_token_197|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128203": { + "content": "<|reserved_special_token_198|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128204": { + "content": "<|reserved_special_token_199|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128205": { + "content": "<|reserved_special_token_200|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128206": { + "content": "<|reserved_special_token_201|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128207": { + "content": "<|reserved_special_token_202|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128208": { + "content": "<|reserved_special_token_203|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128209": { + "content": "<|reserved_special_token_204|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128210": { + "content": "<|reserved_special_token_205|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128211": { + "content": "<|reserved_special_token_206|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128212": { + "content": "<|reserved_special_token_207|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128213": { + "content": "<|reserved_special_token_208|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128214": { + "content": "<|reserved_special_token_209|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128215": { + "content": "<|reserved_special_token_210|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128216": { + "content": "<|reserved_special_token_211|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128217": { + "content": "<|reserved_special_token_212|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128218": { + "content": "<|reserved_special_token_213|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128219": { + "content": "<|reserved_special_token_214|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128220": { + "content": "<|reserved_special_token_215|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128221": { + "content": "<|reserved_special_token_216|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128222": { + "content": "<|reserved_special_token_217|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128223": { + "content": "<|reserved_special_token_218|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128224": { + "content": "<|reserved_special_token_219|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128225": { + "content": "<|reserved_special_token_220|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128226": { + "content": "<|reserved_special_token_221|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128227": { + "content": "<|reserved_special_token_222|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128228": { + "content": "<|reserved_special_token_223|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128229": { + "content": "<|reserved_special_token_224|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128230": { + "content": "<|reserved_special_token_225|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128231": { + "content": "<|reserved_special_token_226|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128232": { + "content": "<|reserved_special_token_227|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128233": { + "content": "<|reserved_special_token_228|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128234": { + "content": "<|reserved_special_token_229|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128235": { + "content": "<|reserved_special_token_230|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128236": { + "content": "<|reserved_special_token_231|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128237": { + "content": "<|reserved_special_token_232|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128238": { + "content": "<|reserved_special_token_233|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128239": { + "content": "<|reserved_special_token_234|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128240": { + "content": "<|reserved_special_token_235|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128241": { + "content": "<|reserved_special_token_236|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128242": { + "content": "<|reserved_special_token_237|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128243": { + "content": "<|reserved_special_token_238|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128244": { + "content": "<|reserved_special_token_239|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128245": { + "content": "<|reserved_special_token_240|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128246": { + "content": "<|reserved_special_token_241|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128247": { + "content": "<|reserved_special_token_242|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128248": { + "content": "<|reserved_special_token_243|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128249": { + "content": "<|reserved_special_token_244|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128250": { + "content": "<|reserved_special_token_245|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128251": { + "content": "<|reserved_special_token_246|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128252": { + "content": "<|reserved_special_token_247|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128253": { + "content": "<|reserved_special_token_248|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128254": { + "content": "<|reserved_special_token_249|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128255": { + "content": "<|reserved_special_token_250|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128256": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128257": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128258": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<|begin_of_text|>", + "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}", + "clean_up_tokenization_spaces": true, + "eos_token": "<|end_of_text|>", + "legacy": true, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "padding_side": "right", + "processor_class": "LlavaProcessor", + "tokenizer_class": "LlamaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/comfy/text_encoders/long_clipl.py b/comfy/text_encoders/long_clipl.py new file mode 100644 index 0000000000000000000000000000000000000000..8d4c7619d4b2007462cf14721bcdae093a5b4a7b --- /dev/null +++ b/comfy/text_encoders/long_clipl.py @@ -0,0 +1,27 @@ + + +def model_options_long_clip(sd, tokenizer_data, model_options): + w = sd.get("clip_l.text_model.embeddings.position_embedding.weight", None) + if w is None: + w = sd.get("clip_g.text_model.embeddings.position_embedding.weight", None) + else: + model_name = "clip_g" + + if w is None: + w = sd.get("text_model.embeddings.position_embedding.weight", None) + if w is not None: + if "text_model.encoder.layers.30.mlp.fc1.weight" in sd: + model_name = "clip_g" + elif "text_model.encoder.layers.1.mlp.fc1.weight" in sd: + model_name = "clip_l" + else: + model_name = "clip_l" + + if w is not None: + tokenizer_data = tokenizer_data.copy() + model_options = model_options.copy() + model_config = model_options.get("model_config", {}) + model_config["max_position_embeddings"] = w.shape[0] + model_options["{}_model_config".format(model_name)] = model_config + tokenizer_data["{}_max_length".format(model_name)] = w.shape[0] + return tokenizer_data, model_options diff --git a/comfy/text_encoders/lt.py b/comfy/text_encoders/lt.py new file mode 100644 index 0000000000000000000000000000000000000000..48ea67e6782388637dbe55b3e6366cda051ec519 --- /dev/null +++ b/comfy/text_encoders/lt.py @@ -0,0 +1,18 @@ +from comfy import sd1_clip +import os +from transformers import T5TokenizerFast +import comfy.text_encoders.genmo + +class T5XXLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=128, tokenizer_data=tokenizer_data) #pad to 128? + + +class LTXVT5Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5xxl", tokenizer=T5XXLTokenizer) + + +def ltxv_te(*args, **kwargs): + return comfy.text_encoders.genmo.mochi_te(*args, **kwargs) diff --git a/comfy/text_encoders/lumina2.py b/comfy/text_encoders/lumina2.py new file mode 100644 index 0000000000000000000000000000000000000000..674461b75077ac21d92667d96a6787b1277367fe --- /dev/null +++ b/comfy/text_encoders/lumina2.py @@ -0,0 +1,39 @@ +from comfy import sd1_clip +from .spiece_tokenizer import SPieceTokenizer +import comfy.text_encoders.llama + + +class Gemma2BTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer = tokenizer_data.get("spiece_model", None) + super().__init__(tokenizer, pad_with_end=False, embedding_size=2304, embedding_key='gemma2_2b', tokenizer_class=SPieceTokenizer, has_end_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, tokenizer_args={"add_bos": True, "add_eos": False}, tokenizer_data=tokenizer_data) + + def state_dict(self): + return {"spiece_model": self.tokenizer.serialize_model()} + + +class LuminaTokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, name="gemma2_2b", tokenizer=Gemma2BTokenizer) + + +class Gemma2_2BModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="hidden", layer_idx=-2, dtype=None, attention_mask=True, model_options={}): + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"start": 2, "pad": 0}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Gemma2_2B, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) + + +class LuminaModel(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, name="gemma2_2b", clip_model=Gemma2_2BModel, model_options=model_options) + + +def te(dtype_llama=None, llama_scaled_fp8=None): + class LuminaTEModel_(LuminaModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if llama_scaled_fp8 is not None and "scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["scaled_fp8"] = llama_scaled_fp8 + if dtype_llama is not None: + dtype = dtype_llama + super().__init__(device=device, dtype=dtype, model_options=model_options) + return LuminaTEModel_ diff --git a/comfy/text_encoders/mt5_config_xl.json b/comfy/text_encoders/mt5_config_xl.json new file mode 100644 index 0000000000000000000000000000000000000000..092fefd6e32dac566e443fc03eae53f6a8b57400 --- /dev/null +++ b/comfy/text_encoders/mt5_config_xl.json @@ -0,0 +1,22 @@ +{ + "d_ff": 5120, + "d_kv": 64, + "d_model": 2048, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "gelu_pytorch_tanh", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "mt5", + "num_decoder_layers": 24, + "num_heads": 32, + "num_layers": 24, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 250112 +} diff --git a/comfy/text_encoders/omnigen2.py b/comfy/text_encoders/omnigen2.py new file mode 100644 index 0000000000000000000000000000000000000000..1a01b2dd430461a20af92b75e9a1930b8d153fea --- /dev/null +++ b/comfy/text_encoders/omnigen2.py @@ -0,0 +1,44 @@ +from transformers import Qwen2Tokenizer +from comfy import sd1_clip +import comfy.text_encoders.llama +import os + + +class Qwen25_3BTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "qwen25_tokenizer") + super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='qwen25_3b', tokenizer_class=Qwen2Tokenizer, has_start_token=False, has_end_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, pad_token=151643, tokenizer_data=tokenizer_data) + + +class Omnigen2Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, name="qwen25_3b", tokenizer=Qwen25_3BTokenizer) + self.llama_template = '<|im_start|>system\nYou are a helpful assistant that generates high-quality images based on user instructions.<|im_end|>\n<|im_start|>user\n{}<|im_end|>\n' + + def tokenize_with_weights(self, text, return_word_ids=False, llama_template=None,**kwargs): + if llama_template is None: + llama_text = self.llama_template.format(text) + else: + llama_text = llama_template.format(text) + return super().tokenize_with_weights(llama_text, return_word_ids=return_word_ids, **kwargs) + +class Qwen25_3BModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, attention_mask=True, model_options={}): + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"pad": 151643}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Qwen25_3B, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) + + +class Omnigen2Model(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, name="qwen25_3b", clip_model=Qwen25_3BModel, model_options=model_options) + + +def te(dtype_llama=None, llama_scaled_fp8=None): + class Omnigen2TEModel_(Omnigen2Model): + def __init__(self, device="cpu", dtype=None, model_options={}): + if llama_scaled_fp8 is not None and "scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["scaled_fp8"] = llama_scaled_fp8 + if dtype_llama is not None: + dtype = dtype_llama + super().__init__(device=device, dtype=dtype, model_options=model_options) + return Omnigen2TEModel_ diff --git a/comfy/text_encoders/pixart_t5.py b/comfy/text_encoders/pixart_t5.py new file mode 100644 index 0000000000000000000000000000000000000000..5f383de076fad52fb934c9747b3f95ff453d8e6a --- /dev/null +++ b/comfy/text_encoders/pixart_t5.py @@ -0,0 +1,42 @@ +import os + +from comfy import sd1_clip +import comfy.text_encoders.t5 +import comfy.text_encoders.sd3_clip +from comfy.sd1_clip import gen_empty_tokens + +from transformers import T5TokenizerFast + +class T5XXLModel(comfy.text_encoders.sd3_clip.T5XXLModel): + def __init__(self, **kwargs): + super().__init__(**kwargs) + + def gen_empty_tokens(self, special_tokens, *args, **kwargs): + # PixArt expects the negative to be all pad tokens + special_tokens = special_tokens.copy() + special_tokens.pop("end") + return gen_empty_tokens(special_tokens, *args, **kwargs) + +class PixArtT5XXL(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, name="t5xxl", clip_model=T5XXLModel, model_options=model_options) + +class T5XXLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, tokenizer_data=tokenizer_data) # no padding + +class PixArtTokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5xxl", tokenizer=T5XXLTokenizer) + +def pixart_te(dtype_t5=None, t5xxl_scaled_fp8=None): + class PixArtTEModel_(PixArtT5XXL): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8 + if dtype is None: + dtype = dtype_t5 + super().__init__(device=device, dtype=dtype, model_options=model_options) + return PixArtTEModel_ diff --git a/comfy/text_encoders/qwen25_tokenizer/merges.txt b/comfy/text_encoders/qwen25_tokenizer/merges.txt new file mode 100644 index 0000000000000000000000000000000000000000..31349551d90c7606f325fe0f11bbb8bd5fa0d7c7 --- /dev/null +++ b/comfy/text_encoders/qwen25_tokenizer/merges.txt @@ -0,0 +1,151388 @@ +#version: 0.2 +Ġ Ġ +ĠĠ ĠĠ +i n +Ġ t +ĠĠĠĠ ĠĠĠĠ +e r +ĠĠ Ġ +o n +Ġ a +r e +a t +s t +e n +o r +Ġt h +Ċ Ċ +Ġ c +l e +Ġ s +i t +a n +a r +a l +Ġth e +; Ċ +Ġ p +Ġ f +o u +Ġ = +i s +ĠĠĠĠ ĠĠĠ +in g +e s +Ġ w +i on +e d +i c +Ġ b +Ġ d +e t +Ġ m +Ġ o +ĉ ĉ +r o +a s +e l +c t +n d +Ġ in +Ġ h +en t +i d +Ġ n +a m +ĠĠĠĠĠĠĠĠ ĠĠĠ +Ġt o +Ġ re +- - +Ġ { +Ġo f +o m +) ;Ċ +i m +č Ċ +Ġ ( +i l +/ / +Ġa nd +u r +s e +Ġ l +e x +Ġ S +a d +Ġ " +c h +u t +i f +* * +Ġ } +e m +o l +ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ +t h +) Ċ +Ġ{ Ċ +Ġ g +i g +i v +, Ċ +c e +o d +Ġ v +at e +Ġ T +a g +a y +Ġ * +o t +u s +Ġ C +Ġ st +Ġ I +u n +u l +u e +Ġ A +o w +Ġ ' +e w +Ġ < +at ion +( ) +Ġf or +a b +or t +u m +am e +Ġ is +p e +t r +c k +â Ģ +Ġ y +i st +-- -- +. ĊĊ +h e +Ġ e +l o +Ġ M +Ġb e +er s +Ġ on +Ġc on +a p +u b +Ġ P +ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ +as s +in t +> Ċ +l y +ur n +Ġ $ +; ĊĊ +a v +p ort +i r +- > +n t +ct ion +en d +Ġd e +it h +ou t +t urn +ou r +ĠĠĠĠ Ġ +l ic +re s +p t += = +Ġth is +Ġw h +Ġ if +Ġ D +v er +ag e +Ġ B +h t +ex t += " +Ġth at +** ** +Ġ R +Ġ it +es s +Ġ F +Ġ r +o s +an d +Ġa s +e ct +k e +ro m +Ġ // +c on +Ġ L +( " +q u +l ass +Ġw ith +i z +d e +Ġ N +Ġa l +o p +u p +g et +Ġ} Ċ +i le +Ġa n +at a +o re +r i +Ġp ro +; čĊ +ĉĉ ĉĉ +t er +a in +Ġ W +Ġ E +Ġc om +Ġre turn +ar t +Ġ H +a ck +im port +ub lic +Ġ or +e st +m ent +Ġ G +ab le +Ġ - +in e +il l +in d +er e +: : +it y +Ġ + +Ġt r +el f +ig ht +( ' +or m +ul t +st r +. . +" , +Ġy ou +y pe +p l +Ġn ew +Ġ j +ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ +Ġf rom +Ġ ex +Ġ O +l d +Ġ [ +o c +: Ċ +Ġs e +Ġ le +---- ---- +. s +{ Ċ +' , +an t +Ġa t +as e +. c +Ġc h +< / +av e +an g +Ġa re +Ġin t +âĢ Ļ +_ t +er t +i al +a ct +} Ċ +iv e +od e +o st +Ġc lass +Ġn ot +o g +or d +al ue +al l +f f +( );Ċ +on t +im e +a re +Ġ U +Ġp r +Ġ : +i es +iz e +u re +Ġb y +i re +Ġ} ĊĊ +. p +Ġs h +ic e +a st +pt ion +tr ing +o k +_ _ +c l +# # +Ġh e +ar d +) . +Ġ @ +i ew +ĉĉ ĉ +Ġw as +i p +th is +Ġ u +ĠT he +id e +a ce +i b +a c +r ou +Ġw e +j ect +Ġp ublic +a k +v e +at h +o id +Ġ= > +u st +q ue +Ġre s +) ) +' s +Ġ k +an s +y st +un ction +**** **** +Ġ i +Ġ us +p p +on e +a il +== == +n ame +Ġst r +Ġ / +Ġ & +a ch +d iv +yst em +el l +Ġh ave +er r +ou ld +ul l +p on +Ġ J +_ p +Ġ= = +ig n +S t +. Ċ +Ġp l +) ;ĊĊ +f orm +p ut +ou nt +} ĊĊ +d d +it e +Ġg et +r r +om e +Ġ âĢ +ar am +c c +Ġ* / +E R +I n +le s +_ s +on g +i e +Ġc an +Ġ V +er v +p r +Ġ un +ro w +b er +Ġd o +l l +Ġ el +Ġs elf +at ed +ar y +Ġ . +' ] +u d +Ġ en +ĠT h +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ +t e +_ c +u ct +Ġa b +or k +. get +Ġ # +a w +res s +o b +N ame +ap p +[ ' +Ġal l +or y +it ion +an ce +e ar +Ġcon t +v ent +i a +Ġw ill +I N +ĠĠĠĠĠĠĠĠ Ġ +re turn +Ġ< / +d ata +) ĊĊ +R e +p le +il d +th er +Ġy our +" Ċ +( $ +Ġ out +) , +Ġh as +S tring +s o +Ġ up +a x +Ġde f +Ġb o +g e +al se +O N +p er +ic h +Ġb ut +Ġ Ċ +Ġ _ +_ m +ad d +que st +od el +s elf +er y +f t +en s +// // +a ke +. C +Ġg o +Ġf unction +Ġ K +iv ate +Ġ im +Ġcon st +. t +Ġ*/ Ċ +) ;čĊ +Ġv oid +Ġs et +ĠS ystem +c ri +( )Ċ +l i +ĉ if +. m +al ly +s et +e p +âĢĻ s +b o +de f +' ,Ċ +Ġm e +Ġ ! +at ch +" > +" ,Ċ +e c +ĠI n +p h +Ġ | +_ f +Ġv ar +en ce +I d +re e +in k +le ct +u g +et h +Ġel se +-------- -------- +con t +Ġs o +at ic +Ġl o +p ro +t on +s s +ow n +ab el +o int +ou s +el d +S T +T he +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +R E +" : +ol or +t p +e g +ke y +u de +ĠS t +ou nd +Ġa r +" );Ċ +en er +s er +b ject +ess age +f er +Ġm ore +ation s +ent s +Ġh is +Ġthe y +. S +Ġ Y +u se +n e +is h +ol d +_ d +i o +i eld +Ġp er +C ont +ing s +## ## +Ġd ata +Ġs a +e f +f o +Ġon e +en g +Ġd is +A T +Ġn ame +Ġtr ue +v al +le d +. f +Ġn e +Ġ end +. T +c re +ar k +lo g +E x +err or +_ id +ur re +ang e +Ġn ull +rr ay +Ġm y +p an +ic t +at or +V iew +L ist +ĉ return +âĢ Ŀ +Ġp re +Ġ x +cl ude +ar g +o v +. h +Ġ > +Ġthe ir +' ) +ir st +ic k +g h +L E +O R +Ġpr ivate +t em +čĊ čĊ +us er +Ġ ) +c om +. A +" ;Ċ +Ġ id +re ad +Ġwh o +_ b +" >Ċ +Ġt ime +Ġm an +r y +==== ==== +rou p +ro p +p ublic +v el +um ber +b le +Ġwh ich +******** ******** +Ġan y +Ġf alse +w e +Ġv alue +Ġl i +" ) +nd er +g r +Ġn o +p aram +f ig +.c om +Ġa pp +_ l +ion s +. D +ĠC h +Ġab out +Ġa dd +Ġs u +Ġstr ing +I D +Ġo ver +str ing +. l +our ce +_ C +] Ċ +Ġ qu +ĠS tring +c a +S E +Ġ ro +s h +u al +T ype +s on +n ew +er n +Ġa g +A R +] ;Ċ +] . +Ġ ? +ic al +Ġd es +ut h +i x +ay s +Ġt ype +' t +a ult +Ġin ter +v ar +. b +Ġp art +. d +urre nt +I T +E N +en c +( f +r a +v alue +ch o +ut ton +o se +Ġ! = +at er +à © +re ate +ol l +p os +y le +n g +A L +us ing +am es +Ġ{ čĊ +at es +el y +Ġw ork +Ġ em +in al +Ġs p +Ġwh en +.s et +ĠĠĠĠ ĠĠ +) :Ċ +t o +qu ire +ind ow +le ment +pe ct +as h +[ i +Ġu se +. F +pe c +Ġa d +o ve +ce ption +eng th +in clude +ad er +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ +at us +T h +it le +r it +v oid +() . +( Ċ +Ġof f +Ġo ther +Ġ& & +' ;Ċ +m s +Ġbe en +Ġt e +m l +c o +n c +erv ice +Ġ % +** Ċ +an n +ad e +ĊĊ ĊĊ +lo ck +con st +pon se +Ġs up ++ + +d ate +Ġa cc +Ġh ad +Ġb u +ĠR e +Ġw ere +Ġf ile +Ġw ould +ĠâĢ ľ +v en +is s +Ġ our +c lass +r aw +Ġy ear +D ata +Ġv al +Ġs ome +f ter +y s +Ġ// / +rou nd +v iew +Ġp e +Ġth ere +Ġsa id +d u +o f +l ine +/ * +d uct +Ġh er +ĠĠĠĠĠĠĠĠ ĠĠĠĠĠ +R es +Ġc o +Ġcom m +is e +m in +ĠĠĠĠ Ċ +# include +eth od +. P +ut e +Ġas s +I nt +as k +lo c +Ġli ke +od y +Ġle t +lo ad +Ġa m +ro l +Ġg r +y p +Ġal so +ĠI t +ur l +if ic +or s +_ P +_ n +ig h +Ġth an +C om +A N +U L +at ing +ĠTh is +re f +_ S +Ġst atic +ro ll +Ġj ust +Ġres ult +i an +id th +Ġthe m +) );Ċ +d er +re ak +C on +: // +u le +.. . +ar ch +em ent +Ġ< < +us h +en se +ar r +Ġint o +c ess +am p +i ed +um ent +Ġ \ +] , +w o +al s +Ġwh at +an c +V alue += ' +ol um +Ġp os +ag es +ay er +Ġs c +u es +" )Ċ +_ T +Ġl ist +( s +Ġc ase +C h +ĉĉĉĉ ĉ +//// //// +pon ent +Ġ z +Ġk n +le t +D E +re d +Ġf e +Ġ} ,Ċ +Ġ , +( t +Ġf irst +' );Ċ +w ord +Ġ import +Ġa ct +Ġch ar +C T +ĠT r +op le += { +ĉ f +i ent +c ent +. j +le ction +) )Ċ +Ġon ly +Ġpr int +m er +. W +o ck +Ġ -- +T ext +Ġo p +an k +Ġit s +Ġb ack +[ " +Ġne ed +Ġc l +Ġs ub +Ġl a +( ( +. " +O bject +Ġst art +f ile +( self +n er +e y +Ġus er +Ġ ent +ĠC om +it s +ĠC on +ou ble +ow er +it em +ver y +ĠW e +lic k +Ġ Q +ph p +t tp +' : +ic s +Ġu nder +Ġ* Ċ +. L +) ; +ic es +Ġre g +) čĊ +ĉ public +S S +Ġth en +re at +i ous +. G +e k +ire ct +he ck +cri pt +n ing +ĠU n +Ġm ay +ĠW h +B o +I tem +str uct +. st +re am +ib le +lo at +Ġor g +u nd +s um +_ in +.. / +_ M +Ġh ow +r ite +' Ċ +T o +w w +Ġpe ople +ind ex +. n +ht tp +( m +ect or +Ġin d +Ġj av +] ,Ċ +ĠH e +_ st +f ul +o le +) {Ċ +Ġsh ould +op y +el p +i er +_ name +ers on +I ON +ot e +Ġt est +Ġb et +rr or +ul ar +ã Ģ +Ġ Ð +b s +t ing +Ġm ake +T r +Ġa fter +ar get +R O +olum n +r c +_ re +def ine +Ġr ight +r ight +d ay +Ġl ong +[ ] +( p +t d +con d +ĠP ro +Ġre m +ption s +v id +. g +Ġ ext +Ġ __ +' )Ċ +p ace +m p +Ġm in +st ance +a ir +a ction +w h +t ype +ut il +a it +< ? +I C +t ext +Ġp h +Ġf l +. M +cc ess +b r +f ore +ers ion +) ,Ċ +. re +ate g +Ġl oc +in s +- s +tr ib +ĠI nt +Ġa rray +, " +P ro +( c +ess ion +> ĊĊ +Ġs he +" ] +ap h +Ġex p +ert y +ĠS e +Ġp ar +un c +E T +Ġre ad +pr int +Ġre l +Ġfor m +Ġd r +Ex ception +in put +Ġtr ans +#### #### +ord er +B y +Ġa w +it ies +u ff +pl ay +. add +ĠâĢ ĵ +Ġw ant +Ġcom p +ment s +Ġ| | +a z +b e +Ġn umber +Ġre quire +ĠE x +Ġc ol +Ġ key +em ber +Ġt wo +Ġs ize +Ġwh ere +U T +res ult +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +ou gh +or ld +o od +u ch +at ive +g er +are nt +Ġ/ * +Ġar g +Ġwh ile +( this +Ġre c +Ġd if +St ate +Ġs pec +r ide +_ F +Ġlo ok +A M +il ity +et er +âĢĻ t +ĊĊ Ċ +ay out +---------------- ---------------- +ag er +Ġc ould +Ġb r +end s +u res +Ġkn ow +et s +ĠI f +ĠS h +. w +b ack +Ġs er +Ġ+ = +Ġf r +() );Ċ +Ġh and +I nd +UL L +I m +() ;ĊĊ +Ġm ost +Ġtr y +Ġn ow +rou gh +> čĊ +ack age +Ġh im +. _ +if y +Ġb reak +Ġ );Ċ +re n +# define +it t +Ġa p +ĉ c +( n +ĠY ou +: ĊĊ +- m +Ġe very +ust om +li ent +oc ument +cri ption +E rror +- b +Ð ¾ +] [ +tr ans +Ġp oint +Ġst d +Ġf il +T ime +Ġm od +Ġ -> +Ġ error +a h +Ġt ext +roll er +lo se +q l +Ġp ol +> < +. B +- c +Ġop en +Ġe st +ĠĠĠĠĠĠĠĠ Ċ +Ġn ext +I M +Ñ Ĥ +O T +à ³ +Ġf ollow +cont ent +ĠĠĠĠĠĠĠĠ ĠĠĠĠ +Ġin clud +H E +ĠR es +Ġh ref +Ð ¸ +Ġc ar +yp es +im age +U n +Ġbo ol +A D +Ġg ame +.F orm +row s +* / +vel op +.D rawing +Ġp ath +is ion +Ġe ach +ĠP l +_t ype +P ath +ne ction +Ġa v +' ). +Ġsup port +EN T +re m +" ). +Ġo wn +Ġc or +c ount +m iss +u ally +Ġm em +st d +i ence +se arch +" ĊĊ +F orm +Ġs ex +en ame +Ġs ign +Ġ et +ĠĠĠĠĠĠĠĠ ĠĠ +', ' +ĠA pp +Ġth ose +o ff +Ġ err +Ġs ystem +Ġbe st +c ode +Ġs ame +Ġd i +us s +Ġc reate +ath er +A rray +. in +f e +S ervice +U N +at s +Ġ Z +al th +Ġm ade +tr ue +A B +Ġm ark +r id +if ied +, čĊ +y n +p ress +Ġg roup +Ġf in +ĠL icense +F ield +eg er +Ġw orld +in ess +t y +Ġpro cess +( b +Ġc re +ar n +iv es +Ġm ain +ide o +_ g +A G +val id +im g +P I +Ġc olor +Ġre port +Ġt ake +ri b +O M +Ġd ay +Re quest +Ġs k +b ers +ĉ s +.A dd +o ot +Im age +Ġcom ple +ol lection +Ġto p +Ġf ree +A S +D e +ĠO n +I G +et a +D ate +Ġa ction +O ver +it or +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +n ot +Ġind ex +h er +ic on +O n +;čĊ čĊ +iv ity +m and +.W indows +O L +Ġre al +Ġm ax +l and +.. .. +r aph +Ġbu ild +le g +ass word +? ĊĊ +âĢ ¦ +o ok +u ck +Ġm essage +t est +iv ers +Ġin put +Ġar t +Ġbet ween +G et +ent er +g round +en e +à ¡ +.l ength +N ode +( i +C lass +f or +ĠâĢ Ķ +t en +o in +Ġ ke +u i +ĠI N +Ġt able +s ub +ĠL e +Ġhe ad +Ġm ust +//////// //////// +. util +Cont ext +Ġor der +Ġm ov +o ver +Ġcont in +Ġs ay +st atic +.T ext +Ġclass Name +pan y +Ġt er +he ad +r g +Ġpro duct +Th is +. âĢĿ +ĠB ut +lo y +Ġd ouble +s g +Ġpl ace +. x +m essage +Ġin formation +pr ivate +Ġo per +c ed +d b +"> +ater ial +ile d +Ġp ut +Q u +Ñ Ģ +un g +m ap +ĉĉĉĉ ĉĉĉĉ +Ġle vel +Com ponent +bo ok +cre en +_ RE +Ġcon fig +ã ģ +O r +. data +Ġd ocument +", " +trib ute +u x +L og +fer ence +p ost +_ e +Ġloc al +and om +ass ert +V al +lect ed +in a +atab ase +A dd +Ġcont ent +.p rint +s igned +r ic +." ĊĊ +Ġf a +! ĊĊ +- f +iv ed +Ġ quest +. ex +Ġf loat +Ġde velop +о Ð +M ap +ad ing +Ġpos s +U E +n amespace +_ O +ĉ b +.G et +> ( +j son +etail s +Ġto o +Ġext ends +ĠN one +Ġf ore +( String +form at +Ġg reat +int er +ca le +Ñ ģ +r on +iv ing +E nt +enc y +x t +o y +Ġmon th +Ġh app +Ġsup er +b ar +def ault +_ de +ord s +l n +( {Ċ +ĠI nd +as es +Ġt itle +Ġcont ext +o h +- p +E m +Ġm et +T est +Ġl ife +_ v +ĠU S +U I +oc ation +m d +Ġ[ Ċ +Ġ ] +s w +Ġin cre +s cript +ent ial +w ays +. de +Ġs rc +Ġc atch +ĠA meric +// Ċ +ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ +Ġp ay +pl it +âĢ Ķ +Ġc oun +ob j +.ph p +Ġch ange +eth ing +' re +ast er +lo s +l ation +ĠĠ Ċ +L e +à ¤ +( { +read y +ĠN o +Ġpos ition +Ġo ld +Ġbo ok +able d +b ug +H and +} ;ĊĊ +is play +av ing +Ġgo ver +Ġv ersion +S ystem +n ect +res ponse +St yle +U p +ang u +Ġth ree +in it +er o +Ġl aw +end if +Ġb ase +em ail +( l +_ V +Ġcon f +AT E +Ġd uring +t es +Ġcon sole +ĠP r +Ġs pe +v es +p ath +ial og +d ition +_t o +ard s +Ġagain st +et work +ĠP h +_ L +c ur +im it +W ith +Ġp ower +i um +' ;ĊĊ +Ġw om +le ft +our ces +at ri +ĠI m +ĠM an +or th +$ { +qu als +es e +_s ize +Ġis s +ot al +- g +i que +r ame +Ġw idth +er g +) ( +itt le +T R +ĠThe y +enc es +r l +on s +Ġl abel +. y +- t +up date +an el +s c +.t o +Ġpro ject +à ¼ +Ġe lement +Ġsu ccess +ĉĉ Ċ +.s h +r am +ch ed +() )Ċ +Ġ( Ċ +Ġd ate +Ġto t +_ ST +A ll +ific ation +ĉ var +Ġt ri +ch em +m y +Ġb ig +ĠA d +ĠA t +ot s +n um +A ct +Ġm ap +er a +co pe +. $ +, âĢĿ +Ġp op +Ġf ew +Ġl en +u id +et ers +u les +Ã Ń +s ource +http s +Ġd em +Ġe ar +######## ######## +Ġm atch +or ies +ac es +ĠC l +Ġn ode +ir c +loc al +un ity +} ;Ċ +Ġan other +< < +og le +Ġs it +ew ork +T E +. I +N S +olog y +ou ght +.C ont +> > +Ġc are +st ate +ĉ private +Ġe ffect +++ ) +_f ile +end ing +L ine +F or +i or +ĠS c +Ġf un +.S ize +ĉ else +] ) +st art +v ious +Ġ} , +our s +Ġle g +Ġs ervice +Ġs ince +ir on +L abel +Ġn on +Ġl os +ict ion +Ġf ull +act er +bo ard +g ress +Ġt urn +ith er +.s ize +Ġb ody +res h +et urn +( _ +y les +orm al +p i +Ġsom ething +! -- +u int +Ġpro du +Ġst and +Ġpro ble +Ġav ailable +m t +ĠB l +Ġ ... +Ġb lock +In put +Ġke ep +C ount +op en +Ġ[ ' +Ġth row +uild er +A ction +Ġth ings +Tr ue +Ġ url +ĠB o +print f +Ġre d +j s +.c reate +ĠO r +St atus +In stance +Ġcont rol +Ġcom e +Ġc ustom +loc ation +m odel +Ġ čĊ +Ġs ource +Ġe as +. out +] ĊĊ +one y +Ġaw ait +Ġpart ic +A P +ub lish +od es +_p ro +p ly +rit er +Ġpro v +Ġm ill +H T +] )Ċ +Ġch ang +Ġas k +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ +Ġout put +Ġem ail +.p ush +Ġ} čĊčĊ +in ation +atri x +T able +u ccess +] );Ċ +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġdis c +( [ +Ġb usiness +he ight +. html +t a +f ield +Ġrequire d +_ R +Ġgover n +} čĊčĊ +le x +. , +ĠS et +ur ch +// / +t s +a f +Ġm ight +ist ory +S tr +Ġne ver +Res ponse +ar se +ad a +ĠH ow +Ġ* ) +Ġ ; +Ġh ard +A d +Ġinter n +us ed +( data +m od +ann el +Ġn p +ug g +Ġ/ >Ċ +Ġcal led +b ody +Ġch o +( r +_s et +ir d +Ġ> = +Ġ} ;Ċ +Ġo ptions +ĠG ener +Ġhe ight +P oint +Y ou +et y +C lick +Ġsm all +Ġ ide +Ġacc ess +angu age +Ġprot ected +Ġj ob +ĠTh ere +D ef +Ġadd ress +Ġu int +N ot +o o +ap s +< div +ain ed +at ur +Ġs um +- w +ĠD ate +Ġl ittle +Ġf ri +Y PE +Ġp ort +e h +pr ing +_p ath +Ġst atus +a im +bo ol +Ġap pe +Ġo s +. name +ens ion +_ G +Ġup date +Con fig +a ff +ER R +Ġ< = +at ely +# if +u ction +ĠT e +Ġl ink +ĠU ser +.f ind +. org +m e +Ġg iven +O ut +# endif +Ġbet ter +P age +Ġfe el +en n +M L +Ġal ready +Ġinclud ing +o ogle +r u +ic ally +pro p +le an +out er +Ġal ways +ord ing +I f +or age +Ġp arent +v is +ĉĉĉĉ ĉĉĉ +Ġg ot +st and +Ġle ss +/ s +ĠA ss +ap t +ire d +ĠA dd +Ġacc ount +p loy +Ġd er +res ent +Ġl ot +Ġval id +ĉ d +Ġb it +pon ents +Ġfollow ing +_ ex +S ON +Ġs ure +oc ial +Ġp rom +ert ies +he ader +.p ro +Ġbo olean +Ġse arch +k en +Ġor ig +Ġ er +E d +E M +a ut +l ing +al ity +By Id +b ed +ĉc ase +eth er +pos it +Ġinv est +ĠO R +Ġs ays +miss ion +AM E +Ġtem p +o ad +Ġre st +in fo +Ġinter est +A rg +Ġper form +pon s +ĠV iew +Ġv er +l ib +( const +U til +List ener +ar ge +Ġm ult +Ġd ie +Ġs ite +../ ../ +E L +Ġval ues +Ġ} )Ċ +p en +N o +ic ro +Ġbe h +Ġ' ./ +ac y +re c +() -> +ĉ ĠĠĠ +" )) +Cont ent +_ W +ple ment +Ġw on +Ġv ideo +ad i +p oint +% % +Ġg l +erv ed +v iron +I F +ut ed +ã ĥ +' m +Ġc ert +Ġpro f +Ġc ell +ar i +Ġpl ayer +a is +Ġc ost +Ġh um +( R +Ġoff ic +k s +.t ext +at ures +Ġtot al +Ġ*/ ĊĊ +o pe +Ġst at +U M +Ġlo ad +ight s +Ġc lear +u ro +Ġte chn +up port +I R +Ġ row +Ġse em +Ġ q +Ġsh ort +ĠN ot +ip p +G roup +se ction +m ax +ir l +Ġover ride +Ġcom pany +Ġd one +" );čĊ +Ġg re +. Re +Ġbel ie +r ist +Ġhe alth +AN T +() ĊĊ +ĠB e +. value +ĠG r +ott om +Ġarg s +P T +st atus +f unc +um ents +- h +N umber +: čĊ +ĠL og +er ver +Ġ) ,Ċ +am ent +Ġob j +in c +Ġchild ren +ic y +I Z +and s +ab ly +Ġdist rib +Ġc ur +er ial +Ġd ays +re ated +re ct +- l +ir m +idd en +om b +Ġin itial +.j s +Ġ â +Qu ery +Ġon line +im al +. con +a u +U rl +cont rol +ire ction +Ġin stance +OR T +ĠF r +wh ere +Ġjav ax +Ġorg an +ap ter +Ġre ason +o ptions +ĠM ar +( a +Ġwith in +.âĢĿ ĊĊ +O DE +_ DE +ad min +end ed +Ġdes ign +ĠD ata +un e +ĠF ile +ro ot +Ġc ent +Ġa rr +_ add +l en +p age +, ' +_ str +Ġb ro +ab ility +ou th +/ c +p ose +irt ual +ear ch +_ url +arg in +H ttp +Ġs chool +av a +Ġcons ider +.l abel +ĠA rray +we b +o pt +.print ln +ul ation +Ġf unc +P L +Ġ" \ +ĠT ext +act ory +(f unction +n ull +Ġen g +d own +Ġin clude +ĠE n +ĠD r +Ġd b +! ! +s ide +Ġin it +quire d +ĠS he +C olumn +re act +Ġan n +Ġst op +Ġl ater +ĠTh at +ent ion +d f +U G +I LE +Ġc lient +ra ft +ff er +PO ST +el per +Ġlo ve +qu ote +ou d +Ġj son +Ġab le +Ġm en +A X +ĠC opyright +à ¶ +av ig +re q +C lient +} );Ċ +.C om +er c +il t +pec ial +_c om +ro om +. Name +Ġg ive +am b +i ke +Ġcon dition +cl ient +ator s +: " +Ġc opy +ut ure +ivers ity +ern al +{ { +ĠC an +ou nc +d o +Ġo cc +Ġapp ro +th ers +z e +Ġe ither +ĠF l +Ġimport ant +Ġle ad +at tr +AR T +E qual +Ġd a +et ch +ent ity +Ġfam ily +add ing +Ġo ption +Ġex ist +ic a +ĠO bject +' ve +v ers +ition al +out put +ĠTr ue +ĠO F +_t ime +Ġof fer +Ġ} );ĊĊ +H ER +eg in +" " +Ġw ater +Ġc he +ĠM y +ore d +Ġst ep +anc es +C K +A Y +à ¸ +str uction +( C +ou ch +St ream +act ive +am a +Ent ity +pro duct +() {Ċ +Ġgovern ment +ĠI D +aj or +A nd +Ġdis play +Ð » +Ġt imes +Ġf our +Ġf ar +Ġpres ent +ĠN S +Ġ\ Ċ +ue st +Ġb as +e cho +ch ild +if ier +Hand ler +Ġl ib +Prop erty +trans lation +Ġro om +Ġon ce +Ġ[ ] +cent er +================ ================ +Ġresult s +Ġcontin ue +Ġt alk +_ get +Ġg row +.s w +e b +ĠP ublic +O P +ec ute +ol s +Ġ ** +" );ĊĊ +Ġm ass +ure d +.c lass +om ic +Ġme an +ip s +Ġa ut +);čĊ čĊ +Ġun til +Ġmark et +Ġare a +u it +Ġl ength +ĠW ith +struct or +e vent +"> < +ĠS p +I V +Ġm us +if f +Ġk ind +a uthor +ound s +m b +_ key +w idth +posit ory +Ġl ight +u k +R ow +oh n +al f +viron ment +app er +ollection s +Ġs ide +_in fo +Ġex ample +im ary +Ġw r +Ġc amp +cri be +" / +Ġm iss +w ay +Ġb ased +Ġpl an +V is +om ain +un k +Ġaw ay +U P +< T +O S +i od +ĠM on +âĢĻ re +Ġli k +à § +iv ely +. v +im er +iz er +S ub +Ġbut ton +ĠU p +Ġexper ience +C L +Ġre nder +_ value +Ġn ear +UR L +al t +Ġcoun try +ib ility +() ,Ċ +e ad +Ġa uthor +Ġspec ific +b ase +( name +on es +ĠD o +Ġal ong +y ear +Ġexp ress +. ' +en v +Ġbeg in +Ġso ftware +Ġim p +Ġw in +ó n +Ġth ing +Tr ans +ĠT HE +Ġ< ? +Ġwh y +Ġdoes n +i j +g ing +ĉ g +Ġs ingle +off set +ar ning +og raph +le y +_c ount +Ġan al +cre ate +/ m +ĠR eg +un ch += $ +is k +Ġright s +( M +Ġ"" "Ċ +ap er +.m odel +Ġp o +em pty +art ment +Ġa nt +ĠWh en +Ġwom en +ĠE d +Ġse ason +Ġde st +à £ +( h +Ġposs ible +Ġse ver +Ġb tn +Ġdid n +Ġs ent +Ġen c +Ġcomm and +Ġ ],Ċ +_ x +Ġre cent +ol ution +v ector +ĠB y +ĠM ay +ĠA ct +» ¿ +Ġm oney +IN T +bs ite +ĉ p +. čĊ +ï »¿ +s l +atter n +ĠC lass +Ġto ld +ud io +c urrent +Ġe qu +Ġa uto +ĠSt ate +d a +ms g +)) ;ĊĊ +Ġwork ing +Ġqu ery +ĠB r +Ġw indow +a uth +on ly +ĉ t +Ġle ast +ag n +Ġex pl +it ter +ar ing +Ġc olumn +ĠGener al +": " +er al +ri or +Ġrec ord +I B +E X +Ġd at +Ġm aking +u ed +ĠC ar +em p +" . +ĠM ed +Ġc lose +Ġper cent +Ġp ast +( g +: ( +Ġw rite +Ġm ove +Ġp at +Cont rol +.T o +Ġv i +*/ Ċ +in ate +' ll +ag ed +N ull +Ġspec ial +IZ E +Ġc ity +/* Ċ +ĠE ng +ix ed +in ary +p y +Ġe ff +ar io +Ġt ell +av or +Ġse lect +le vel +im um +op er +B uilder +I P +') ,Ċ +es c +Ġf ont +" ;ĊĊ +ĠA m +ish ed +ill s +Int er +O W +Ġcour se +Ġl ate +idd le +Ġam ount +Ġas ync +in o +c ul +Ġ ì +and le +_ user +Ġb en +ĠC al +Ġ$ _ +ĠR ep +Ġen ough +T oken +. user +( j +S c +W idth +n ow +at form +Ġlook ing +Ġh old +M odule +IT Y +v o +is on +.D ata +y c +Ġp ot +ĠTr ump +id ual +id es +r t +Ġprop erty +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ +am ework +g o +Ġl ow +Ġpar a +Ġpr ice +ur y +Ġto day +ro y +Ġ' / +Ġpol it +Ġ' ' +ym b +P h +Ġad v +Ġatt ack +ĠS te +RO M +an a +Ġme ans +Ġst ory +id s +ak en +Ġme et +Ġm om +ĠâĢ ĺ +Ġ? > +Ġd en +ob ile +ch ange +ĠĠĠĠĠĠĠĠ ĠĠĠĠĊ +ic i +n a +ĠF orm +Ġs ort +Se lect +p are +Ġth ought +_ con +Ġt ask +oc us +ĠD E +ĠM in +Ġo pt +ĉb reak +um er +K E +th en +Ġd et +ĠT est +port s +Ġre view +(' / +m ove +Ġsw itch +ER T +p atch +ann ot +ã Ĥ +Ġab ove +it ive +Ġquest ion +ĠQ u +ãĢĤ ĊĊ +g le +Ġw ord +Ġprov ide +ĠR eturn +Ġre search +ã o +u str +Ġp ublish +chem a +} } +ĠC ON +- in +all back +Ġco ver +\ \ +c olor +ĠI S +Ġwh ether +im ate +is c +B ar +Ġd iv +B e +our n +Ġh aving +le m +pl ayer +ab s +am era +ne y +Ġex c +get her +pl ied +a o +[ $ +Ġ+ + +i pe +sh ow +/ d +[ : +ag ement +le v +_ ID +r ary +ad es +_ se +a use +Ġem ploy +Ġ*/ čĊ +Ġf re +Ġ' @ +Ġcomple t +Ġl arge +r al +\ x +Ġf ac +< String +Ġcre ated +up er +.st ate +Ġh ost +ener ic +/ b +( ! +wh ile +i as +B UG +Ġ );ĊĊ +Ġro le +Re g +ĠC olor +St art +Ġp orn +t op +Ġwe b +Ġde v +Ġde al +++ )Ċ +Int eger +pos ition +. on +Ġ( " +ä ¸ +Ġproble m +s v +Ġp ress +AB LE +AT ION +ĠSe e +an ch +Ġth ough +le ep +Ġ< !-- +Ġpoint s +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ +. J +Ġ :: +p tr +D B +++ ;Ċ +.p ng +n ode +so ft +pon d +Ġe ver +-------------------------------- -------------------------------- +M enu +(' # +Ġs ervices +p g +} )Ċ +param s +Ġact ually +Ġ" / +Em pty +M ethod +Ġid ent +un ic +Ġmill ion +Ġa ff +st yle +Ġcon c +i os +ign ment +UL T +P r +" ;čĊ +Ġunder stand +u ary +Ġhapp en +Ġser ver +ĠC o +S C +Ġle s +Ġfile s +G rid +s ql +Ġof ten +Ġin fo +_ tr +s rc +on y +Ġsp ace +um b +Ġpass word +Ġst ore +, ĊĊ +ĠWh at +g ed +ĠF alse +U s +sw er +_ index +Ġform at +m ost +s m +N ew +Ġd etails +Ġpro b +ĠAN D +() čĊ +il ar +Ġ$ { +ry pt +.C ollections +$ this +ĠF ree +_ of +(f alse +d ated +Ġ> > +Ġf ace +CT ION +Ġs ave +Ġt yp +de v +(" # +AG E +cont ainer +ed it +Q L +Ġitem s +Ġs ocial +i en +ĠRe act +) .ĊĊ +Ġm ar +Ġre du +ĠR E +.p ut +Ġm ajor +C ell +n ext +Ġexpect ed +Ġy et +Ġin div +trib utes +at is +am ed +Ġf ood +S ource +( string +Ġ+ Ċ +it es +d r +Ġmem bers +Ġcom b +item s +ĠP er +T H += True +Ġb ar +_ SE +com m +( w +)ĊĊ Ċ +Ġs end +Ġin c +un signed +F A +Ġparam s +app ing +ro s +ug in +f a +Ġcon nection +Ġ} ;ĊĊ +Ġbe come +M ode +Ġe v +Ġdif f +ĠUn ited +He ight +ful ly +im ages +Ġm akes +Ġg lobal +Ġcont act +' :Ċ +Ġab s +а Ð +f loat +Ġex cept +ĠP ol +Ch ild +t yp +Ġcert ain +i ón +O UT +Ġim pro +ile s +Ġ-- >Ċ +ĠP art +val ues +os s +/ ** +il it +ĠE vent +cur ity +st er +Ġchar acter +Ġnew s +Ġ" , +Ġde vice +c el +log in +he et +Def ault +@ " +ĉ Ġ +c lick +( value +ĠA b +Ġpre vious +ERR OR +oc al +Ġm aterial +Ġbel ow +ĠCh rist +Ġmed ia +co ver +ĠU I +Ġf ail +Ġbl ack +Ġcom ponent +ĠAmeric an +Ġadd ed +Ġbu y +st it +Ġc ame +Ġde lete +prop erty +od ing +Ġc ard +rop s +Ġhttp s +Ġro ot +Ġhand le +C C +B ack +em plate +Ġget ting +_b y +m ail +_s h +. assert +ĠD ec +( true +Ġcom put +Ġcl aim +' => +ĠS ub +Ġa ir +op s +n av +em ents +( id +Ġent er +ang ed +E nd +Ġloc ation +Ġn ight +Ġdo ing +ĠR ed +l in +}ĊĊ Ċ +vid er +Ġp ick +Ġw atch +ess ages +Ġhum an +Ġd am +p end +d ir +Ġt ax +Ġg irl +re et +Ġbo x +Ġstr ong +( v +re l +Ġinter face +Ġm sg +f ect +_ at +Ġh ouse +Ġtr ack +' );ĊĊ +j e +ĠJ ohn +ist r +( S +ub e +Ġc e +itt ed +V ER +* ) +p arent +Ġapp lication +an y +.sw ing +Ġp ack +\ u +Ġpr act +Ġse ction +ct x +Ġun signed +.P oint +ĠO ne +Ä ± +ip le +a id +Ñ ĥ +V ector +by te +Ġw ait +Ġà ł +à ¥ +Ġto gether +Ġth rows +F O +' )) +h ost +is ing +. view +Ġter ms +fr amework +- r +Ġapp ly +Ġs ession +O ptions +ugg est +Ġo thers +w itter +Ġf und +In it +__ ( +ens or +G ET +Ġsever al +i i +[ j +I O +Ġtem plate +P osition +Ġe con +ach ine +Ġ il +.s pring +m ain +el t +im ent +Re c +m m +ĠUn iversity +urs or +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ +G L +ict ure +ith ub +c er +c ast +F rom +a les +Ġsub ject +p assword +n y +Ġes c +.w rite +ï¼ Į +Wh at +. H +Ġh istory +ĠF e +Ġindiv idual +un it +Ġ-- > +Ġd u +I ST +Ġus ers +f s +f alse +un t +T itle +Ġm ot +Ġf uture +ach ed +Ġstart ed +Ġm ode +Ġ' < +_ array +Ġa x +'] ;Ċ +i res +Th ere +ug ht +t ml +pos ed +ic ult +Ġto ok +Ġg ames +Ġ} } +Ġ? >Ċ +Ġproduct s +I s +Ġb ad +ĠD es +.p ath +' ĊĊ +ĠP ost +av el +( : +Ġneed s +Ġkn own +F l +Ġex ec +Ġse en +um e +Ġb order +Ġl ive +tem p +P er +Ġvar iable +i et +ĠD ef +Ġg e +em e +_b ack +f irst +Ġprovid ed +//////////////// //////////////// +Ġfil ename +Ġh ope +ul y +a uto +f ind +_ string +b tn +it ude +At tribute +Ġyou ng +.t xt +Ġwe bsite +ĠP rop +Ġe y +> ();Ċ +ion al +AR R +iction ary +ur ther +. +t x +Ġp ur +u el +ymb ol +u ation +ang er +Ġback ground +ec ess +ef ined +.... .... +Ġdes cription +Ġrep resent +") );Ċ +press ion +row ser +Ġser ies +ward s +($ _ +a ise +Ġh ot +ac ity +ri es +action s +C reate +ad io +amp les +Ġorig inal +ens ive +f ont +st ream + using +.spring framework +ser ver +Ġb ill +AC K +il ename +Ġfr ame +Ġ= Ċ +Ed it +adi us +Ġd raw +ank s +Ġd eter +Ġcom es +_ int +Ġfore ach +ang le +Ġe lect +pect ed +He ader +ist ration +F alse +ĠG ame +Ġfil ter +Act ivity +Ġl arg +in ition +Ġ" < +is ed +Ġrem ove +ĠTr ans +m et +se e +Form at +Com mand +ĠE X +N one +Ġfr ont +A SE +ĠR ec +ound ation +Ġv o += \" +( * +Ch ange +.W rite +g roup +i ents +u y +******************************** ******************************** +Ġd ig +h r +( - +Ġg en +n umber +ve c +uro pe +ent ry +L L +Ġst e +Val id +'] , +_p aram +Ġse lected +Ġacc ording +ĠD is +Ġ util +B uffer +_ error +Ġass oci +_S IZE +Ġw or +Ġprint f +r ag + ł +D D +ĠV al +Ġact iv +E ng +et ime +Ġv irtual +a ign +a ur +ĠP res +ĠEx ception +Ġany thing +ĠO ff +Ġh ours +Ġw ar +Arg s +ag ing +Ġmodel s +ĠT ime +O b +am s +j oy +Ġear ly +. read +Ġc enter +ĠIn itial +Ġl anguage +l ength +x y +Ġs n +Ġin f +P ost +Ġag o +Ġeas y +_c ode +ĠAN Y +_ ch +Ġdown load +( T +av ed +âĢ ĵ +Ġstud ents +Ġf ig +l ight +x x +Ġbu ffer +ĠD ep +ĠM ath +IT H +Ġvar i +Ġd ue +F actory +Ġp or +Ġe p +ot ype +Ġcan not +Ġwh ite +< int +ter n +Ġreg ister +Ġpre d +cl us +_d ate +Ġ/ ** +Ġa uth +Ġ[ ]Ċ +Ġper iod +n own +Ġv ot +Ġs creen +' d +T ypes +Ġt mp +е Ð +ur al +Ġben ef +_ y +Ġn et +ĠSt ates +'] [' +ĠN e +ĠN OT +Ġn eg +Ġcomm on +s cope +Ġc red +g es +_T YPE +Ġs uggest +o om +.ĊĊ Ċ +Ġac cept +Ġr andom +er m +ĠV ector +w ith +T ER +( str +Ġres pons +Ġh it +.S et +gr id +ri a +Ġc lick +und le +C ase +ins ert +Util s +Ġ"" " +Ġim plement +at al +tem pt +tem plate +oc r +return s +Ġplay ers +us ers +ed ef +ĠTh ese +Ġam ong +Ġde b +h a +.get Element +Ġc irc +Ġan swer +Ġw alk +Ġt reat +ĠG e +ĠC reate +Ġa ge +Ġre q +O ST +ang ular +Ñ ı +Ġf ive +Ġdistrib uted +Ġfri end +T P +Ġc lean +ow s +.Control s +d is +Ġw ords +. io +z y +Ġhe ader +ĠC heck +âĢĻ m +j ust +h older +=" čĊ +. annot +Ġcol lection +' . +Ġsim ilar +Ġt aken +(" % +Or der +'] Ċ +-m d +ĠT H +ac ed +Ġis n +/ j +Ġs on +gr aph +ĠInt eger +Ġn ecess +re en +Ġ um +Ġ\ < +Ġmom ent +Ġbr ing +Ġind ic +ys is +Le vel +ver se +urre nc +_t est +Ġent ire +D own +Ġ}ĊĊ Ċ +( result +ĠRe ad +à ¨ +M od +Ġtry ing +") ,Ċ +Ġm ember +ĠC or +OD O +- control +un time +ĠS im +D ialog +pl ot +_ on +Ġph ys +} / +Ġn amespace +ĉ čĊ +ac c +Pl ayer +A RE +Ġf oot +Ġbo ard +p art +Ġs us +w ise +ĠM c +Ġp ush +AT A +Ġp lease +ri ed +we et +b it +id ed +V E +ĠS w +U B +Ġt ypes +ed ia +Ġc los +ace book +Wh en +Ġed it +ig ger +Ġen erg +Cont ainer +Ġph ot +ĠC ount +ĠE urope +.I s +ĠR uss +pe ed +ĠS tr +Ġp y +Ġc ult +Ġdef ined +cc ount +Ġob t +.L ocation +Ġth read +il le +Ġinst ead +str ong +ĠS ec +U RE +Ġide a +. se +em y +select ed +Con nection +ac ing +th read +.n ext +Ġc oll +Ġfil m +ist ic +Ġcomp et +Ġcon n +th ough +Ġcom pan +ock et +Ġte ach += ( +Ġph one +Ġact ive +de lete +tr ies +Ġm o +Ġde ath +} );ĊĊ +oc ol +W idget +Ġart icle +ro du +and id +Ñ ĭ +ĠC r +k a +() : +lo od +ĉĉĉ Ċ +Ġal most +Ġs ell +erv let +ri p +Un it +Ġapp lic +Ġcon nect +Ġfe ature +Ġv ia +' ), +Ġl im +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +ĠG u +Eng ine +Ġen s +Ġen vironment +b lock +HER E +N ULL +g y +t ag +) ). +ex p +Ġcom pl +Ġinst all +Ġcomple te +que ue +atur al +Ġgener al +th on +Ġask ed +o res +( res +Ġres erved +S P +ĠâĢ ¦ +Å Ĥ +Ġsign ific +O ff +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ +ĠA g +ĠJ ust +ĠE rror +Ġin fl +ad ata +Ġ icon +ask s +' ' +_ LO +? . +ac count +Ġ( * +' )ĊĊ +r ap +_ var +ĠF OR +Ġpart y +ĠY our +c at +str y +. new +bo ot +ĠN ov +Ġv ector +Ġn ormal +Ġf urther +Re pository +Ġd atabase +att le +Ġmus ic +Ġspe ed +Ġd oc +pro cess +IG HT +.p arse +Ġt aking +Ġvi ol +ce ed +ĠA fter +Ġfor ward +Ġc rit +"/ >Ċ +ro t +Ġfa iled +ef ore +Ġconc ern +o e +b a +Ġs ender +Ġter m +h as +=" # +Ġpot ential +N um +Ġpublish ed +.c lose +ĠIm age +str aint +U D +ĠO b +Ġprob ably +l im +" :Ċ +olum e +Ġcon sum +ag ue +ens ions +Ġinvest ig +- year +') ; +-s m +Ġen joy +or ig +er ing +c p +le ased +ple ments +Ġreturn s +p at +B O +ĠH ouse +.L abel +Ġwe ight +igh b +Ġcondition s +Ġex ception +d escription +Ġtr ad +- to +Ġ{ } +Ġmod ule +EN D +. ap +.p rops +Ġcon structor +av es +Ġf avor +ĠN ow +; i +ĠM ain +_ k +er ies +âĢĻ ll +trans form +imest amp +P re +Ġm er +. res +st ant +L ocation +_N AME +Ġlos s +Ġ ĊĊ +n et +Ġeng ine +B lock +Ġiss ues +Ġpar se +ĠB ar +Ġst ay +ĠJ SON +Ġd om +air s +w ner +Ġl ower +", čĊ +ĠD em +uf act +Ġp s +Ġper fect +R L +Ġed uc +l s +em ory +ARR ANT +u ge +Ġex act +. key +al led +e ch +ie f +\ / +o ke +Ġfor mer +al loc +Ġs ix +id a +Ġm argin +Ġhe art +al d +p ack +.getElement ById +ĠW ARRANT +Ġr ather +Ġbuild ing +er man +lic e +Ġquest ions +iz es +le ge +irect ory +Ġj e +Ġc as +pro ps +ut f +Ġse curity +Ġhow ever +we ight +Ġins ide +Ġpres ident +Ch ar +ĠW ITH +.m ap +Ġgr aph +Ġt ag +_st atus +Ġat tempt +op p +us es +ĉ const +Ġr ound +, $ +Ġfri ends +Em ail +? > +Res ource +KE Y +os p +. query +ĠN orth +able s +ist rib +_c lass +el lo +Th at +Ð º +pecial ly +ĠPres ident +Ġcamp aign +Ġal t +are a +Ġch all +Ġop port +.C on +Ġenerg y +li ke +. string +ing ton +) * +y y +Ġprof ession +ir th +Ġse g +æ ľ +Ġh or +i ers +c an +Ġbeh ind +Pro duct +f g +ĠS k +.j pg +? : +] ;ĊĊ +Ġcall back +ĠH ttp +Ñ Į +l ong +M S +AT H +Ġr aise +Ġwant ed +row n +ut or +l t +] = +el ine +M A +Ġse par +c s +se mb +D is +bs erv +ĠW ill +Ġpol icy +Ġth ird +ph one +Ġb ed +/ g +. __ +ĠIn c +iz ing +.re move +in stance +.t ype +Ġs erv +E ach +Ġh ar +ĠM essage +( key +SE LECT +P os +)) ;čĊ +Ġre comm +Ġtr aining +ĠE nt +ĠCh ar +ic ht +(f ile +Ġp rior +G ame +Ġex it +Param s +.c ore +P C +n es +anc ed +( request +P assword +} >Ċ +Ġm ag +Ġre lease +Ġsh all +ud ent +ĠS outh +and o +: ' +.Tab Index +s k +ann er +is set +Ġout side +led ge +Ġ å +ĠR ob +Ġim m +! Ċ +ĠWe b +D es +B C +anc ial +R oute +D ec +fer ences +Ġp urch +ĠM odel +ct or +g n +_st art +_ un +. * +is es +Ġg round +Ġun ique +Ġbe aut +{ " +Ġp our +ĠO ct +Ġt ree +set s +_ res +') -> +_re g +(" \ +Ġby te +B l +Ġd ating +Ġm atter +ĠR em +Ġ' ../ +ĠA ug +ĠL a +Ġ$ ( +ourn al +i am +Ġshow s +w rite +Ġb all +Ġsim ply +Ġf ast +Ġmem ory +A SS +ĠO f +ov ed +ant e +a ul +ist ry +)) );Ċ +Ġf it +< string +Ġpolit ical +anc el +_ . +c ard +.c urrent +o ch +_ image +\ t +# Ċ +( L +Ġindu stry +com ing +Ġex tra +Ġreport ed +.st art +Ġres ources +Ġim g +fl ow +_E X +(n ull +ĠP re +Ġwr ong +inter face +Param eter +n ers +á » +t ure +ers ist +oun try +Ġseem s +al ance +de st +ĉ String +Ġm aint +Ġun it +act ers +ĠT R +if ul +export s +pro ject +App lication +leg ate +Ġt akes +ter m +Ġet c +ust er +Ġappe ar +add ress +Ġf em +h s +Ġh om +, - +Ġdiff icult +Ġcom ing +O pen +Ġset tings +ĠW ar +ĠTh en +Ġaut om +ĠF oundation +Ġqu ite +D escription +Ġb log +i qu +P S +_f ield +J son +SS ION +ĠS ch +ĠL O +Ġdes cri +Ġevery one +Ġpret ty +Ġlong er +Ġm enu +Ġcurrent ly +se c +Ġrelations hip +################ ################ +ĠM ap +as et +Ġparam eters +Ġcr ush +" čĊ +IL ITY +ig ration +Ġc out +t otal +Ġn ames +nd ef +") ; +ri end +yn amic +Ġeff ort +Ġact ual +Ġfield s +O UN +t ers +Ġf ix +_m odel +Ġc ases +C A +M y +Inter face +ĠS E +] ] +al le +ĠN ational +ĠArray List +in line +. V +ar a +ref ix +as c +Re ader +ĠÐ ¿ +ast ic +( () +C l +.annot ation +Ġperform ance +ail y +.to String +.n et +view s +. end +ay ers +l ate +ĠA pr +ed eral +'] ) +.b ody +Ġhigh er +_f l +c r +al ert +_n ode +ĠG oogle +Ġit self +A uth +urrenc y +Ġsignific ant +app end +Ġres pect +str ap +Ġun a +riter ia +P ORT +.ap ache +Out put +Ġpro gress +Ġm id +ĠM icrosoft +Ġres ource +ab lish +Ġd im +. load +.A pp +Ġd irection +Ġadd itional +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ +Ġnum bers +Ġcompan ies +.T h +Ġs ound +user name +Ġstat ement +Ġal ert +Ġcon tract +h ome +_l ength +.Com ponent +e v +. Ex +ï¼ ļ +" ; +ĠH igh +Ġ )ĊĊ +ĠP oint +op h +Ġl ines +-> _ +" )ĊĊ +o x +app lication +Ġ ]Ċ +ĊĊĊĊ ĊĊ +Ġso on +ction s +ing er +Ġj oin +ĠP e +Ġ ë +Ġl as +. E +c ss +/ or +ĠSt art +ĠT O +Ġsub s +con n +com ponents +DE BUG +qu are +F unction +end ar +. index +Ġf ill +Ä Ļ +Ġcho ose +h ow +ĠAmeric a +ass ets +-------- ---- +ĠV alue +Ġoff ice +Ġv eh +Ġtrans form +ĠAr t +Ġin de +Ġf n +Ġim plements +ang o +ple te ++ " +t mp +am ily +Ġhas h +miss ions +E ST +g t +Pro vider +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ +Ġfl ag +Ġpartic ip +d en +ĠReturn s +Ġnot e +ü r +p m +ide os +Ġspec ified +ĠE N +est er +ol id +Ġup on +( std +ĉ v +Ġ' \ +u z +Ġv ert +Ġv ict +ĉ self +Ġ" $ +. k +Ġgroup s +g ithub +l ang +Ġm ut +T O +Ġv e +ĠP lease +;ĊĊ Ċ +ac cess +Ġ{ " +re a +Ġr isk +ick er +og gle +ĉ while +AN G +.s end +Ġwom an +Ġget s +Ġ ign +ĠI d +_ log +ON E +Ġe vid +ĠH ar +_s ub +Ġend l +Ġinclud ed +() );ĊĊ +ĠA p +ig r +Ġs em +ĠBl ack +d oc +_t able +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +- up +Ġca use +Ġ .. +Ġv an +_d ict +Ġf ocus +IN D +CE SS +.L og +Ġmult iple +id o +Ġreg ard +- M +and ler +our se +Ġde g +. U +Ġadd ition +Ġvar ious +Ġrece ive +е н +ĠH T +Ob j +D F +Ġincre ase +ĠO pen +] ; +Ġcomm it +? Ċ +ateg ories +at ory +sh ip +ĠM ich +Ġh tml +rom ise +Ġle ave +Ġstr ateg +av en +ĠCon sole +k nown +- n +_ LE +.com ponent +Ġb re +S ession +i ance +Ġal ign +typ edef +_ result +ĠW HERE +.s plit +Ġread ing +FA ULT +Ġc lo +Ġnot ice +_p r +ar ter +Ġlo ck +Ġstand ard +et ic +ell ow +Ġp adding +ĠH is +Ġst ates +_c ast +( P +a a +Ġintern al +e an +ĠP RO +ĠK ey +Ġes pecially +m ing +Ġc ross +Ġn ational +_ object +f ilter +Ġs cript +. update +_ i +ĠAss ert +/ core +%% %% +Ġproble ms +ist or +Ġ. = +Ġar ch +Ġwrit ten +Ġm ilit +M ENT +. ch +ca pe +ĠM us +_ config +ĠA PI +fo ot +Ġim ages +end l +. In +F irst +Ġpl atform +.pro t +O ption +st e +ĠT ODO +Ġfor ce +. cont +ĉ echo +ĠD av +P tr +( B +R T +ĠB ase +] [' +Ġann ounc +con sole +ĠP y +d s +. as +Ġpre vent +ap an +Ġ{ ' +} ' +Ġde ad +V AL +Q UE +**************************************************************** ******** +Ġch arg +R eturn +Ġf ul +d om +Ġr ules +Ġmod ify +Ġe val +h am +at ement +\ < +ul a += False +R A +Ġcont ains +Ġst ack +m ar +Ġ{ }Ċ +Ġund efined +A ss +ĠCh ina +ve y +* Ċ +Ġplay ing +) / +act or +Ġb ottom +li er +ĠN umber +Ġcou ple +D C +ĠS O +g or +.set Text +s uccess +com mand +F ilter +ĠO ur +_ item +Ġc tx +Ġro ad +V ersion +c ase +ur t +av ior +y ch +semb ly +ĠPro duct +Ġh eld +a fe +Ġinclud es +< quote +Ġa void +ĠF in +ĠM od +Ġt ab +an o +à ± +ipp ing +- e +Ġins ert +t arget +ch an +.M odel +IM E +\ Ċ +Ġm achine +av y +ĠN O +ĠInt er +Ġoper ation +mod al +T ag +] : +Ġprodu ction +Ġare as +Ġre n +_f rom +n bsp +Ġoper ator +m en +app ed +_p er +z en +(" . +.s ave +=" {{ +Ġt or +( response +Ġc andid +Ġcon v +a iled +ĠL ib +com p +ur a +ï¿ ½ +ĠH ere +Ġarg ument +h ood +Ġest ablish +ograph y +Ġon Click +amb da +Ġs ch +Ġmov ie +Ġse c +Ġact ivity +Ø § +Ġs ql +_ all +inc ip +Ġprovid es +Ġs ys +ack et +Ġwas n +Ġus es +ĠF unction +.g oogle +ĠRes ult +Vis ible +ag ma +el come +ĠS y +ĠC ent +AL SE +ac ión +EX T +Ġl icense +ĠL ong +Ġacc om +Ġab ility +. height +Act ive +olog ical +ol y +)) , +.S e +Ġparam eter +pr ite +AB ILITY +.s ervice +ĠG roup +_ query +ĠI tem +in ing +Ġj ud +im s +f ix +ind er +ag ram +Ġfunction s +Ġexper i +ĠE m +Ġro t +Ġp en +.b tn +ĠA S +#if def +Ġcho ice +ĠP age +_P RO +Q U +å ı +ant ity +Â Ń +word s +Ġread only +Ġf lex +prot ected +ĠAn y +Ġchar acters +enc ed +ĠJ uly +il er +C ard +ur ance +Ġre v +.e vent +al y +Ġwon der +ĠP ort +Ġleg al +ro le +Ġt en +Ġgo es +M P +wh ite +): čĊ +)) čĊ +Ġre ference +Ġm is +ĠPro ject +ick s +> & +C ON +Ġre pl +Ġreg ular +St orage +ram ework +Ġgo al +Ġt ouch +.w idget +Ġbu ilt +d es +P art +( re +Ġw orth +h ib +g ame +ĠÐ ² +ac ion +ĠWh ite +(t ype +( ` +Ġn atural +Ġin j +Ġcal cul +ĠApr il +. List +Ġassoci ated +ĉ System +~ ~ += [ +Ġst orage +Ġby tes +Ġtr avel +Ġs ou +Ġpass ed +! = +as cript +. open +Ġgr id +Ġb us +Ġrec ogn +A b +Ġh on +ĠC enter +Ġpre c +b uild +HT ML +ĠS an +Ġcoun tries +a led +t oken +k t +Ġqu al +L ast +ad ow +Ġman ufact +id ad +j ango +N ext +x f +. a +Ġporn o +ĠP M +er ve +it ing +_ th +c i += None +g s +Ġlog in +at ives +'] );Ċ +Ä ħ +Ġ ill +I A +child ren +D O +Ġlevel s +Ġ{ { +Ġlook s +Ġ" # +To String +Ġnecess ary +ĠĠĠ Ċ +c ell +En try +Ġ' # +Ġext rem +Select or +Ġplace holder +L oad +Ġre leased +O RE +En umer +ĠT V +SE T +in q +P ress +ĠDep artment +Ġprop erties +Ġres pond +S earch +a el +Ġre qu +ĠB ook +/ Ċ +( st +Ġfin ancial +ick et +_in put +Ġth reat +( in +Str ip +ì Ŀ +ç ão +Ġevid ence +)) ; +ĠB ro +Ġ[ ];Ċ +Ġ ou +b uf +S cript +d at +Ġr ule +# import +=" / +S erial +Ġstart ing +[ index +a e +Ġcon trib +s ession +_ new +ut able +o ber +Ġ" ./ +Ġlog ger +Ġrecent ly +Ġreturn ed +č čĊ +)) )Ċ +ition s +Ġse ek +Ġcomm unic +Ġ" . +Ġuser name +E CT +D S +Ġother wise +ĠG erman +. aw +Ad apter +ix el +Ġsystem s +Ġd rop +Ġstruct ure +Ġ$ ("# +enc ies +ann ing +ĠL ink +ĠRes ponse +Ġst ri +Å ¼ +ĠD B +æ Ĺ +and roid +sub mit +ot ion +( @ +.t est +ĊĊĊĊ ĊĊĊĊ +] ;čĊ +Ġdirect ly +Ġ" % +r is +el ta +A IL +) {čĊ +m ine +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ +( k +b on +as ic +p ite +__ _ +M ax +Ġerror s +ĠWh ile +Ġarg uments +Ġens ure +R ight +-b ased +We b +Ġ- = +Ġint rodu +ĠIn st +ĠW ash +ord in +j oin +D atabase +Ġgr ad +Ġus ually +IT E +Prop s +? >Ċ +ĠG o +@ Override +RE F +Ġ ip +ĠA ustral +Ġ ist +View ById +Ġser ious +Ġcustom er +.prot otype +od o +c or +Ġdo or +ĠWITH OUT +Ġpl ant +Ġbeg an +Ġdist ance +() ). +Ġch ance +Ġor d +c ame +pr agma +Ġprot ect +rag ment +ĠN ode +en ing +Ñ ĩ +Ġr oute +ĠS chool +h i +Ġne ighb +A fter +lic it +Ġcon tr +Ġpr imary +A A +.Write Line +util s +Ġb i +R ed +.L inq +. object +Ġlead ers +un ities +Ġg un +on th +ĠDe v +F ILE +Ġcom ments +_l en +ar row +am ount +R ange +s ert +Grid View +Ġup dated +ĠM o +Ġin form +oci ety +al a +A ccess +Ġh ab +Ġc reat +_ arg +ĠJan uary +ĠD ay +") čĊ +up le +d ocument +gor ith +m enu +ĠO ver +b b +.t itle +_ out +Ġle d +ur i +Ġ? >Ċ +r un +Ġsc ene +( array +de vice +_t itle +ag on +] čĊ +ab y +Ġbe came +bo olean +Ġp ark +ĠC ode +up load +rid ay +ĠSept ember +F e +Ġs en +c ing +F L +C ol +ut s +_p age +in n +Ġim plied +al ing +Ġyour self +.C ount +con f +Ġa ud +_in it +. ) +Ġw rote +N G +. Error +ä » +.f or +Ġe qual +ĠRe quest +Ġser ial +Ġallow s +X X +Ġm iddle +ch or +à ¸ +erv al +.C olumn +read ing +Ġesc ort +ĠAug ust +Ġquick ly +Ġwe ap +ĠC G +rop ri +h o +Ġc op +( struct +ĠB ig +Ġv s +Ġfre qu +. Value +Ġaction s +Ġpro per +Ġin n +Ġobject s +Ġm atrix +av ascript +Ġon es +.g roup +Ġgre en +Ġp aint +ool s +y cl +enc ode +ol t +com ment +. api +D ir +Ġun e +iz ont +.p osition +Ġdes igned +_ val +av i +ir ing +t ab +Ġl ayer +Ġview s +Ġre ve +ra el +ĠO N +r ics +n p +Ġc ore +() );čĊ +M ain +Ġexp ert +ĉĉ čĊ +_ en +Ġ/ > +ut ter +I AL +ail s +ĠK ing +*/ ĊĊ +ĠM et +_ end +add r +or a +Ġ ir +M in +Ġsur pr +Ġre pe +Ġdirect ory +P UT +- S +Ġe lection +h aps +.p re +c m +Val ues +Ġ" Ċ +c olumn +iv il +Log in +in ue +Ġbeaut iful +Ġse cret +(e vent +Ġch at +um s +Ġorig in +Ġeffect s +Ġman agement +ill a +t k +Ġset ting +ĠC our +Ġmass age +ĉ end +Ġhapp y +Ġfin ish +Ġc amera +ĠV er +ĠDem ocr +ĠH er +( Q +con s +it a +Ġ' . +{ } +ĉ C +Ġst uff +Ġ :Ċ +ĠA R +T ask +h idden +er os +IG N +at io +ĠHe alth +ol ute +Ent er +' > +ĠT witter +ĠCount y +s cribe +Ġ= >Ċ +Ġh y +f it +Ġmilit ary +Ġsa le +re quired +n on +boot strap +h old +r im +- old +ĠD own +Ġm ention +cont act +_g roup +od ay +Ġto wn +Ġsol ution +u ate +ell ing +] -> +ot es +ent al +om en +osp ital +ĠS up +_ EN +Ġsl ow +SE SSION +Ġbl ue +ag o +Ġl ives +Ġ ^ +. un +in st +en ge +Ġcustom ers +Ġc ast +ud get +ï¼ ģ +ic ens +Ġdeter min +Se lected +_ pl +ue ue +Ġd ark +// ĊĊ +s i +ther n +ĠJ apan +/ w +P U +ĠE ast +ov ie +Ġp ackage +Ġn or +Ġap i +b ot +" ];Ċ +_p ost +ul ate +Ġcl ub +') );Ċ +Ġlo op +PI O +ion e +sh ot +In itial +Ġplay ed +reg ister +rou ght +_m ax +ac ement +m atch +raph ics +A ST +Ġexist ing +Ġcomple x +D A +.C h +.com mon +m o +Ġ' ../../ +it o +Ġanal ysis +Ġdel iver +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ +id x +à ł +ong o +ĠEng lish +< !-- +Ġcomput er +EN SE +Ġp as +Ġr ais +H ash +Ġm obile +Ġo wner +F IG +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +th es +Ġat tr +w d +.t ime +aw n +Ġtreat ment +ĠA c +. View +im pl +m ore +p ass +Ġh a +.f rom +Ġle ading +FF FF +( error +. ui +at ar +ad ers +d ates +Ġz u +Ġfl ow +T arget +Ġinvol ved +Ġi o +par se +$ _ +he st +. int +- item +as y +S p +Ġsh ift +N T +Ġt f +_T R +. web +C S +Ġ} ) +Ġey es +_ z +' );čĊ +if orn +Ġ{ @ +Ġn ice +.l ist +ĠĠĠĠ čĊ +Ġf loor +Ġred irect +ĠU K +( [' +Ġw ish +Ġcap t +leg al +ĠI O +Ġst age +. String +ĠA fr +ig en +ĠS H +De lete +ell s +Ġsol id +Ġmeet ing +Ġwork ed +Ġed itor +in y +Ð ¼ +_ read +. Id +e ff +Off set +ch a +US ER +ĉĉ ĠĠĠ +ipp ed +Ġd ict +ĠR un +.h pp +Ġan g +x ml +im ple +Ġmed ical +_t oken +con nect +Ġh our +Ġcont roller +_m essage +U ID +G r +and ed +_C H +Ġbook s +Ġspe ak +am ing +Ġm ount +Rec ord +ĉ struct +.W eb +ond on +Ġ// Ċ +Ġf elt +.A uto +id ge +_p os +P R +Ġmod ern +C ollection +_m sg +C D +ĠL o +Ġsecond s +ib ly +.e quals +Ġintern ational +# pragma +oo th +W riter +i ate +Ġce le +ĠB it +iv o +iv ery +r d +HE CK +Ġc ache +.c ount +Ġro ll +.Re ad +RE D +Ġset up +izont al +model s +arg v +Ġconsider ed +=" ../ +set tings +ĠR el +Ġgrow th +Ġm ix +ĠWash ington +Ġpl t +ĠI M +á º +Ġturn ed +ĠDate Time +ĠW ed +( url +Ġ" - +Ġlet ter +As ync +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ +ĠOct ober +_l ine +Ġatt ention +Ġcol lect +ĠH ash +Ġim ag +T ree +Ġsit uation +et te +_n o +IV E +Ġv on +.t arget +Ġknow ledge +Ġdr ive +.p ost +Ġb lood +Ġc it +pr imary +Ġconfig uration +te e +Ġph oto +is ode +Tr ace +Ġg ave +Ġsh ot +ĠA ir +Ġm other +pr ice +Ġmor ning +)) {Ċ +- x +Ġtr ade +Ġdes c +Ġ&& Ċ +Ġparent s +A pi +å Ī +t ed +w er +Ġ æ +Ġs y +ĠK e +Par ser +å ħ +anc y +Ġpie ce +iforn ia +to String +r an +id ing +PT ION +com es +/ lic +.c lient +E l +L ong +Ġprofession al +ru pt +v a +Ġcomplet ely +Ġpract ice +Ġse lection +R em +in i +Ġc am +RE E +Ġsit es +p a +AT US +Ñģ ÑĤ +arr ant +* ( +_ KEY +ĠB utton +ĠF riday +se qu +Ġre ader +Ġm essages +è ¯ +Ġbu f +K e +Ġn ov +H P +M sg +al ign +ar ily +Ġ' , +_w ith +Ġd as +Ġhe ard +at omic +ri al +) [ +Ġdis e +@ end +Ġg old +Ġf air +Ġsa les +. Button +str ict +s ave +Ġme asure +Ġ" + +ec ause +View Controller +ĠT able +.p aram +Ġdec ided +(( ( +IN FO +Ġopport unity +T e +IC ENSE +cc ording +k i +ĠU N +Ġcont ain +Ġman ager +Ġp ain +ĠF ire +rom e +Ġpl ans +F ound +l ay +ĠDec ember +Ġinfl u +à º +ren ch +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ +az ing +b rief +c all +wo od +Ġload ed +Ġgr and +/ f +im p +_ U +ST R +âĢ ¢ +Ġcred it +.C olor +or ge +QUE ST +Ġdiffer ence +ĠP C +w args +Ġp ub +und ay +Ġf ra +.m ax +Ġtri ed +ann els +s end +Ġreport s +Ġad ult +ä º +Ġcons ist +ĠSt reet +ĠPro gram +S QL +M atrix +ounc il +- A +ĉ w +Ġwho se +Ġrel ig +ĠS ex +Ġg ives +n one +.m essage +( G +.aw t +- right +ĠNov ember +ell ig +ut ive +Ä ĥ +over n +Ġeas ily +Ġide as +ĠÐ ½ +/c ss +ly ing +el le +C an +_c olor +оР² +Ġp air +ng th +Ġs plit +d rop +art y +on a +Ġcap ital +Ġhe ar +Ġex ists +ĉ log +em o +R un +o i +Ġpar ser +ĠM ethod +Ġeduc ation +[ k +Ġlib rary +> ";Ċ +_ UN +ĉ std +od ed +Ġcall s +h ere +R el +Ġbr and +back ground +g a +_add ress +_param s +C ategory +ĠInd ia +_e vent +Ġ ing +R ender +.c l +ump y +Ġp et +F C +ĠA nt +Ex t +Ġchar ge +en ed +gr ad +E O +Ġdep end +Ġ .ĊĊ +fr ame +Ġd f +Ġh uge +ĠP ART +ed s +; ; +ĠA M +Ġbas ic +ĠL et +lic h +Ġar m +Ġst ar +Ġf ederal +W ork +Ġcar ry +ĠIs rael +( obj +={ { +Ġs aved +Ġs yn +Ġconst ant +V ENT +Ġpos itive +Ġcon duct +Ġsk in +Ġear lier +Ġl ayout +ĠI P +O UR +Ġt im +styles heet +_ cl +ĠC ard +++ ){Ċ +Ġtem per +ĠDav id +ĉ try +.d art +Ġwant s +Ġp icture +Ġv ideos +ĠCom m +is ions +_M AX +M apping +- content +ĠE ar +- de +Ġpre m +br uary +Ġcom ponents +Ġthrough out +Ġp ull +Ġp ages +ent e +res pond +Ġg as +cript or +Ġed ge +Ġb ound +A CT +**** ** +Ġcre ating +ĠC H +Ġnull ptr +B r ++ ' +.c o +> :: +Ġle arning +.L ength +_S H +Ġpat ients +A IN +Ġk ids +Ġcom fort +Ġsh own +ug ins +ĠB ack +ell a +_C L +Ġl at +Ġdis patch +Ġclass es +. at +.b egin +Ġsuccess ful +b an +Ġobt ain +ĠS l +Ġl ack +iter ator +Th read +(s ize +Ġn one +.h as +_ X +s ort +n ap +p et +b in +ĠCan ada +The y +Ġd ans +ĠM at +< td +Ġh air +Ġ' ',Ċ +Ġc u +Ġlaw s +let ed +p ed +Ġp ow +Ġk new +_C OM +_ , +ĠM ag +id ents +( req +Ġ ), +- center +Ġw ide +ĠA uthor +st ants +Ġjob s +Ġm ath +et imes +Bo olean +Ġs cope +_ is +Ġme as +Ġkey s +el ay +Ġexact ly +'=> ' +ĠP aul +m as +ĉ print +(l en +f d +Ġ) ; +. Event +q li +ir it +ield s +om an +ĠT op +Ġv ote +Ġm ask +Ġthem e +- Ċ +Ġpro ps +Ġf ine +Ġwrit er +_ offset +c ar +Ġal tern +Ġc opyright +Ġdest roy +pp er +Ġgener ate +pp ed +âĢĻ d +ĠĠĠĠĠĠ Ċ +m ake +ĠSh ow +Ġb rowser +Ġfavor ite +Ġcare er +Ġhappen ed +( char +Ġrecomm end +Ġl iter +.f ilter +gr ade +Ġ £ +Ph one +om s +Ġn amed +- label +ip o +ĠO ther +Ġp anel +Ġro ck +S cale +ĉ assert +Ð ´ +Ġtr ust +fr ont +Ġdem on +A r +N et +Ġecon omic +foot er +Ġr ace +(n ode +ĠO ption +s plit +Ġphys ical +if est +Ġrem oved +. http +)) ,Ċ +Ġlook ed +' ; +d ing +g est +atur day +/lic enses +Pr ice +Ġd ro +Ġto wards +Ġun s +ĠC L +ĉ static +Ġ rows +Ġdef ine +.re place +Ġf ather +ĠDes ign +ass ign +m ut +De vice +D id +') )Ċ +omet ry +ay load +Ġh istor +ĠP aram +ĠBo olean +Ġn ature +Ġj s +Ġn ation +i h +Ġdis cover +se m +Hand le +ĉ r +ĠTe chn +Ġw all +{ $ +@ property +Ġ" ../ +Ġex am +.d raw +opp ing +Ġnear ly +Ġco ol +Ġinde pend +RE S +Ġhand ler +ĠMon day +Ġs un +St yles +ous ly +Ġ ĉ +v est +D isplay +( y +atic ally +Ġpred ict +y ing +Ġsom etimes +" ]Ċ +Ġdr ink +Ġb ul +ific ations +. insert +.re g +Ġtest s +Al ignment +Ġal leg +Ġat tribute +ĠN ote +Ġmy self +art s +N ow +Ġinterest ing +li ents +Ġpop ulation +ĠCal ifornia +" I +å ¹ +Ġgre ater +ues day +Ġth ous +Ġcost s +Ġla unch +\ Http +k er +b and +ĠPl ay +Ġb and +.sh ape +es ome +art icle +.r f +Ġw er +á s +em bers +us r +B A +ic an +et t +valid ate +ult i +Ġimmedi ately +z er +Ġfig ure +o es +ell er +irc le +ĠS ign +.d b +Ġr ank +By tes +Ġproject s +_re c +UL AR +A PI +ĠL ine +P ort +Ġp oll +Ġg iving +id ence +-- Ċ +Ġpl ot +ic ial +Ġw arrant +IT ION +ĠD ouble +Ġbill ion +gorith m +Ġequ ipment +D ATE +Ġ@ " +E E +Ġp le +i ation +Ġhead ers +Ġpro ced +.Component Model +ĠOb ama +Ġp a +ĠB est +im ately +.get String +. \ +mp loy +Ġr aw +_b lock +und red +" },Ċ +.Group Layout +Ġb rought +NS String +th row +cre ated +.N ew +_ view +C P +ep s +O p +Ġgr atis +Ġ' " +Ġinter view +"" "Ċ +Ġpart ial +Ġa ria +b ing +A uthor +Bo ok +ĠP at +um an +Us ers +pl us +ĠD irect +ven ue +al pha +UC CESS +ĠC all +Ġ );čĊ +im ated +Ġrem ain +Ġant i +ĠL ondon +Ġsaf ety +PO SE +o les +cont roller +By te +ĠCour t +ĠPh il +ĠAss oci +en a +å IJ +_ST R +co in +resh old +Ġb atch +_C lick +entic ation +> ';Ċ +ent y +Ġbegin ning +Ġz ero +ĠCon vert +Ġt err +Ġp aid +Ġincre ased +c atch +-s ize +act ivity +e quals +Ġque ue +Ġ" ' +ĠIntern ational +Ġf ür +urs day +Ġsc ient +all ow +ax is +Ġapp ropri +ed ge +Ġid x +S uccess +ent ifier +: \ +x is +Ġmax imum +ark s +Ġb irth +( index +Ġmay be +.p y +file s +Ġlim ited +_ check +lo ok +pl ies +Ġmov ement +'] . +Ġbro ad +ĠB E +ĠUn ityEngine +.c pp +ĠE very +Ad min +Ġf ans +p ared +Ċ ĠĠĠĠĊ +Ġfore ign +Ġp an +Ġt our +ĠOr der +Ġmov ing +Ġa uf +C all +c b +Å Ł +vent ory +ĠS ql +Ġful ly +Click Listener +W ORD +Ġannounc ed +) čĊčĊ +Ġagre ed +ri e +Ġe arn +_l ink +. array +(t ext +Ġmaterial s +, p +ff ff +v g +Ġ © +Ġun less +aj ax +LO G +Ġsex ual +Ġ\ " +- time +Ġco ach +Ġsupport ed +Ġphot os +if orm +.C reate +) ] +ri er +Ġd ialog +av er +ig e +) + +_id x +: [ +_m in +ĠC ong +Ġpress ure +Ġteam s +S ign +b egin +ri an +NE SS +L S +Ġimpro ve +ĠS unday +Ġdef inition +ig er +roll ers +Ġthink ing +T emplate +- F +Ġem erg +pl ates +ĠUS A +.set State +ĠAl so +re v +Ġen able +ĠC O +PE CT +Ġcon cept +) - +ĠâĢ ¢ +Ġset s +Ġmean ing +em on +ĠCon s +c mp +ed er +ann ed +icens ed +ĠS uper +Ġd aily +Ġmult i +_ u +Ġchall eng +_m ode +ĠP romise +Ġstr ict +j o +int on +( list +On ly +> { +Ġveh icle +í ķ +ĠPl ayer +ĠD el +Ġp ool +. url +nes day +();čĊ čĊ +Ġ" );Ċ +L ocal +. ");Ċ +Ġorgan ization +re nder +ĠApp lication +Ġsum mer +ex pected +N A +Ġr ap +_ obj +Ġsur face +ĠP UR +Ġ}, ĊĊ +Ġvariable s +(m essage +Ġop in +.b ack +а н +Ġwork ers +v m +C o +ught er +Ġm aster +Ġ" ", +Ġst ories +. User +Ġcele br +ines e +B S +ĠCom mand +ash board +Ġo g +k g +. image +.st yle +Ġstep s +ĠB en +( args +ĠP erson +, y +Ġofficial s +| Ċ +Ġsk ills +v c +Ġbuild er +Ġg ar +A ccount +ĠA uth +ç Ķ +'] )Ċ +ĠA T +n n +. Int +SS ERT +Ġeffect ive +LE TE +Ġto ols +AR D +Ġdig ital +D ouble +ĠF ind +R C +Ġin line +/ r +AR AM +AS K +Ġint ent +a ight +_add r +Ġrequest s +.f irst +Ġde bug +Ġsp ent +() ));Ċ +Å Ľ +Ġpr incip +Log ger +clud es +. use +Ġsur v +med ia +ĠFe bruary +ĠM ac +Ġmiss ing +Ġw ife +Ġtalk ing +ĠM ake +Ġc art +Ġloc ated +E nc +- a +ch ron +Ġc ards +Ġgu y +Ġp ers +ĠY es +ate ver +ĠA ng +ol ar +ĠE ven +Ġacc ur +ĠP ower +ĠG old +c lear +Pro cess +Ġrec ords +Ġk illed +.c lear +ĠWARRANT IES +Ġpur pose +pan el +J ECT +ÃŃ a +Ġex erc +W S +/ L +. exports +Ġ__ _ +Ġs in +S ervlet +Ġd é +.de lete +ro ke +S l +ug h +ear s +Ġpoint er +Ġh op +all ery +Ġo bs +co very +ĉ char +ĉĉĉĉ ĉĉĉĉĉĉ +ĉ def +oc ity +itch en +ul ations +ĠF IT +Ġ ). +straint s +vent ion +Ġrequ ires +ĠO per +M E +OUN T +al let +Ġn orm +I RE +ex as +Ġprogram s +Ġwe ak +' .$ +u ing +ĉ ĠĠĠĠĠĠĠ +Ġm il +Ġf irm +init ely +_VAL UE +ap se +atis f +Ġdem and +_m od +Ġdescri bed +Ġpl aces +V ID +Ġal one +Ġex port +Ġv ec +ĠM ax +Ġactiv ities +ict ures +g ener +Ġm a +Ĥ ¬ +Ġexpress ion +C allback +_ content +ĠM ost +Ġtest ing +E C +CH ANT +Ġad just +.Th reading +( ctx +Ġag ree +ig hest +Ġu i +ĠL aw +. Y +> ĊĊ +.ex ample +ber g +Ġmov ed +ĉ e +ĠS aturday +Ġpay load +Ä ĩ +) :ĊĊ +Ġbe y +ur er +< script +Ġs ymbol +Ġass um +Ġp ul +E ffect +Ġh undred +To ol +ak ed +con nection +Ġvo ice +Ġp d +Ġtrans action +Ġlink s +E rr +ĠInd ian +T C +atal og +n i +s ign +<< " +j i +y a +Ġdemon str +ul ated +. St +Ġinst it +Ġbo ost +Ġcell s +ol ic +.P ro +: , +"> \ +Ġth us +ĠReg ister +h ol +ĠCh inese +Ġpost ed +Ġm agn +ab ilities +Ġdise ase +Ġrem ains +ĠPro f +- form +Ġc in +org an +ic ate +Ġst ress +] * +Ġ ---------------------------------------------------------------- +_ context +or ry +Ġd ied +m at +Ġstart s +.M essage +Ġrun s +Ġgu ide +Ġwarrant y +ential s +d ict +ĠS ize +ul er +Ġrespons ible +_SE T +Ġcont aining +ĠPr ice +| | +F S +Ġem p +_b utton +( uint +Ġsu ff +p th +Ġdef initely +put e +Ġmarket ing +ĠW H +ĠS ie ++ = +OL OR +Ġcons ult +Ġs igned +Ġse quence +le e +Ġrequire ments +h y +Ex press +M T +se y +Ġ ult +å ® +ellig ence +Ġanal y +Ġd ress +eng ine +ĠG reat +ĠAnd roid +ĠA lex +m ode +D ictionary +.D ate +ä ½ +V ICE +Ġfam ilies +ĠRuss ian +ĠT imes +.c all +$ ( +Pro file +Ġf older +ch es +Ġleg is +_ row +un es +Ù Ħ +Ġ} ). +Ass ert +ag en +ĠH and +I ter +Ġbig gest +ore ach +Ġpol ic +Ġper missions +Ġshow ed +ĠE lement +Ġtop ic +âĢĶ âĢĶ +ro ad +ĠB ank +rec ord +Ġpart ners +ĠR ef +ess ions +Ġass ess +U ST +ĠPart y +pro du +L C +Ġ ul +. form +h ide +c opy +UT F +ĠSO FTWARE +čĊčĊ čĊ +ĠL in +un a +ug ar +Ġadmin istration +Ġopen ing +Ġsc an +Ġcontin ued +com ponent +.s p +Ġhapp ens +um my +ĠP R +.F ile +ĠDown load +Lo ading +d i +Ġwait ing +_A DD +T ab +.query Selector +Ġecon omy +ĠF rench +t xt +Ġf ant +_ ;Ċ +H older +S H +Ġn umpy +Ġst reet +Ġm ale +\ Model +ang ing +ĠB ill +Ġprevious ly +B I +ĠSec ret +Ġm ist +ĠF ield +up s +ĠPro cess +Ġke pt +ĠO T +Ġtrad itional +. i +am in +Ġhelp s +An y +orig in +ilt ers +j u +d esc +ĠA ccount +Ġ) čĊ +k top +ol ly +Ġf s +Ġ ê +Ġ ut +Ġcent ral +(t est +.A n +Ġs atisf +G R +ĠF ull +Ġhe at +ib er +Ġon to +m os +S chema +Ġfact ory +" .$ +aw s +St atement +(t arget +ĉ new +.b e +Ġg uest +Ġm al +AR Y +Ġre ached +Ġm ouse +Ġchall enge +ĉd ouble +ĠT em +Ġt error +Ġex tract +_T O +Ġsepar ate +Ġm ir +h elp +Ġcap acity +ĠProp erty +k an +_c reate +ĠL ight +.p arent +Ġunderstand ing +Ġeas ier +Ġ| = +Ġen h +Ġf at +Ġprot est +am m +_ AT +- of +il s +ĠO h +Ġps ych +Ġ$ . +ind s +Ġrel ative +sh op +sh ort +ĠS and +uest ion +Ġf ear +/ ĊĊ +. context +Ġschool s +Ġser ve +z one +_d b +Ġmajor ity +ex ample +Ġl ang +ĉ ĠĠ +Reg ister +end o +Ġprocess ing +_t emplate +- user +Ġe g +C OM +ĠBl ue +i ro +Ġrem ote +ĠI T +#! / +Ġred istrib +ra z +ĠS ince +ĠT ur +Back ground +== = +Ġref lect +Ġpro s +c md +Ġwh om +Com pat +ĠA re +Id entifier +ĠTh om +_ port +g u +Ġmon itor +r m +Ġpat ient +ver ter +Ġg ain +- ui +In st +Ġd ies +A rea +_f ilter +Ġgr at +Ġreal ity +ord inate +ol ved +Cont act +Ġcompl iance +_ or +ĠV ar +d l +Ġapp end +G ER +(m ax +.re nder +Ġd ynamic +ordin ates +_ options +_c olumn +Ġb atter +s pace +L a +ĠS ource +/b in +Ġd os +ĠBo ard +ĠTh read +ĠA L +( config +ĠM er +Ġm iles +_ header +ETH OD +iz z +Ġbenef it +Ġinteg r +(c urrent +ul o +. default +ĠD iv +Ġt on +o th +erv ation +ed om +Ġb aby +ce ived +.t op +rior ity +ĠL ocal +ri age +Ġattack s +Ġh ospital +Ġfem ale +ĠLog in +ĠFl or +Ġch ain +ash ion +Text ure +S ave +Ġf arm +.cont ains +.T est +Ġknow s +Ġgener ally +ip eline +Ġme ant +enc ia +Ġn icht +Ġcont ents +P M +ched ule +( line +C G +j ob +ĠRe al +u er +f irm +Ġ Ø +et ro +" `Ċ +Ġspe ech +Ġth r +fore ach +Ġw arn +ĉ l +Ġhe avy +< li +N e +Ġinvestig ation +M ath +- title +Ġch urch +Ġdes pite +ch ain +Ġwh atever +ar ian +f n +Ġm eta +} )ĊĊ +U FF +Ġregard ing +_S UCCESS +m es +ĠInt ent +Ġres olve +pos s +ir a +for ce +o ice +à ¢ +Ġp m +Ġup dates +A rr +Ġ Ñ +test ing +Ġto ward +nt ax +ë ĭ +Ġlist en +Ġgo als +Instance State +D r +Ġr are +Ġtr ail +Ke ys +C al +C ar +ĠPe ople +ĉ local +class es +Re ference +.for Each +em b +act iv +Ġpr im +red ict +Ġr ad +æķ ° +.B ack +Ġsp read +Ġc lock +Ġv ir +ed itor +Ġeffort s +Ġbr anch +Ġind ust +Ġmot or +Ġam b +Ġdat etime +Ġren cont +ĠChrist ian +ĠAmeric ans +f ull +Ġf mt +.m ain +Ġca used +_ update +ĠCont ent +AT CH +Ġb ath +ĠE ach +Ġr adio +ach ment +uz z +Sub mit +Ġre strict +ab in +ĠL oad +Ġext ension +Ġess ay +Ġh at +avi our +to Be +": [ +Ġoffer ed +Ġv ill +(d ouble +æĹ ¥ +b c +_f ree +ĠM iss +ĠB er +Ġ è +ĠL ike +Ġhelp ed +.get Name +_ AL +Ġsp irit +ĠAp ache +w s +Ġthere fore +( params +_ img +Ġpe ace +Ġinc or +ĠEX PECT +Ġmin or +ip es +ĉ data +select or +c ity +tr ie +.b ase +_f rame +Ġopen ed +/ json +L Y +n u +.D e +t f +m argin +.P arse +Ġp i +Ġe q +b d +Field s +ĠT ree +Ġb an +ist an +Ċ ĠĠĠĠĠĠĠĠĊ +ĉg l +Ġprodu ced +s ystem +M ark +_h ash +Ġb g +Ġconst it +ĠLe ague +Ġmiss ion +_ format +([ Ċ +clus ion +! " +Ð · +b reak +ĉs witch +Ġth er +Trans form +Ġfoot ball +- link +r oute +. auth +Ġb ag +ov ers +Ġen abled +Ġr ac +( I +C R +anc ing +Ġman aged +_ q +NG TH +Ġm ac +ĠA uto +ament e +Ġ' ', +.App end +Ġp in +. item +ack ing +Ġocc as +p erson +Ġt i +.Re g +Ġh aven +Ġg lass +Ġ" ) +_ char +res ource +Ġep isode +Ġ' _ +ĠE s +ĠEar th +Âł Âł +UP DATE +ĠS ou +u is +t ypes +Ġm as +Ġf av +Ġcon struct +_r ate +er as +Ġ| Ċ +rop erties +Ġext ernal +Ġap plied +Ġpre fix +ot ed +l ers +Ġc old +ĠS P +ĠCh urch +ĠOut put +los ed +ç ļ +ific ate +oper ation +her it +x FF +. env +_ err +os h +D irection +C ancel +ĠFr ank +Ġfind ing +. )ĊĊ +Ġr outer +ãĥ » +s es +Ġc row +== ' +Ġs and +Ġr id +it ure +Ġent re +Ġo bserv +Ġv ac +ð Ł +- T +A rt +n ight +. search +Ġex change +Ġdistr ict +. os +Ġdep artment +Ġdoc uments +Ġcent ury +ĠN ext +H ost +ĠK IND +Ġsus p +- P +re nd +. em +u ite +ist ers +( json +ĠAn n +w t +at i +ĠHT ML +wh en +D irectory +Ġsh ut +< a +ed y +Ġhealth y +Ġtemper ature +ĠG en +Ġmet al +Ġsub mit +ĠD O +Ġat tract +Ġ{ };Ċ +ĠW ord +Ġl l +Ġseem ed +k o +I ED +Ġl abor +.Cont ext +Ġas set +y ou +Ġc ars +ĠC olumn +Ġr é +Ġs quare +ĠNS String +âĢĿ , +ap es +.. .Ċ +Ġthan ks +( props +Ġt ick +Ġexper iment +Ġpr ison +t ree +- text +ĠIO Exception +-w idth +_ST ATUS +f ast +-b ody +- header +Ġgu ar +cre te +ĠT im +Ġclear ly +ĠRepublic an +Ġjust ify +и ÑĤ +ĉ ĠĠĠĠ +c ache +; // +Ġpres ence +Ġfact ors +Ġemploy ee +] )) +M ember +Ġselect or +b or +ĠM ex +çļ Ħ +ut ex +_t ag +ail ure +ĠN et +Ġre li +E G +Ġf printf +Ġte en +lo ss +Ġle aving +De legate +Ġbe at +Ġmin ute +sub scribe +Ġredistrib ute +Con stants +Ġcan cer +/ { +B L +Ġs pan +ĠCh ild +C enter +Ġear th +Y S +ĠLe vel +Ġse a +.s upport +.in ner +. Item +ill ing +ĠĠĠĠĊ ĠĠĠĠĊ +ĠL abel +ĠE st +( arg +bo Box +ĉf oreach +c os +F ailed +sw ers +Ed itor +r ont +ĠM P +ex pr +ĠL ife +Ġ? ? +ö r +Ġatt end +ĠQ ue +Ġspec ies +- D +Ġa us +Str uct +Ġadvant age +ost on +-b lock +in itial +C RE +Ġtr uly +Ġcomp are +or ney +Ġs pect +F ull +b es +Ġvis ible +Ġm ess +st ances +Ġcl oud +_v ersion +Ġf urn +ic ago +LO W +Ġtraff ic +Ġf ol +rypt o +Ġdecl ar +Ġsl ot +ĠEx t +ĠEng land +ĠU nder +Ġt a +let ter +Ġoffic er +ĠDon ald +Y es +_ json +IT ableView +ĠU SE +mploy ee +Ġopin ion +ĠA ut +b order +Ġad vice +Ġautom atically +is co +Ġm m +. vis +am l +Ġinitial ize +Ġ( { +Ġ ;ĊĊ +Ġgener ation +Ġb its +clip se +Ġun f +ut ors +pl t +Ġdel ta +est roy +is is +< br +Ġlimit ations +Ġend ed +ĠM ad +il m +Th ese +ĠMin ister +Ġch art +F ragment +Ġindepend ent +Y ear +Ġin str +Ġt ags +A VE +ĠAr ch +st op +Pro gress +Ġm i +Ġlearn ed +G e +Ġhot el +S M +T YPE +Ġc y +ERS ION +un ately +l imit +s el +Ġmov ies +Ġste el +o z +g b +ĠC amp +s ite +ĠLog ger +P LE +оР´ +. right +ĠC ore +Ġm ixed +st ep +Ġput s +s uper +R outer +. Http +ly ph +ĠColor s +Ġandroid x +. str +Ġinn ov +Ġde ck +' >Ċ +ap ers +] ( +cont inue +s pec +ĠR oad +AS H +ili ar +Ġcontin ues +Ġapp oint +Ġ# Ċ +ĠV ir +Ġ?> " +Ġb in +} ", +go ing +e ach +B D +ĠA ccess +D oc +ĠMan agement +B ER +ask et +.get Instance +Ġestablish ed +so cket +IN S +ĉv irtual +ĉ result +RE AD +_ height +ĠF ont +Ġ( );Ċ +_ html +Ġneighb or +l or +Ġg ather +Ġ} )ĊĊ +Ġid entity +Ġf ab +p adding +ĠR oute +Enumer able +à ´ +Ġfor ced +/j query +.ĊĊ ĊĊĊĊ +res ents +_ left +.P aram +ĉ throw +ĠH am +Ġevent ually +ac er +p ub +Ġtr a +un ique +d el +ĠFlor ida +ĠC lean +x a +Ġ · +Ġvalid ate +Vis ual +Ex pression +_f unc +m ember +ĉ h +tr l +ĉ G +nap shot +ĠProp Types +v in +] )ĊĊ +ow l +if ies +Ġ$ ('. +ĠCont ext +ĠTo ast +. Key +Ġoffic ers +/ n +s n +und efined +. items +ut ow +am age +Ġaccount s +ook ie +Se ction +ici ans +Ġad vis +( is +[: , +ĠFr ance +F unc +ic ious +Ġto k +Ch annel +ĠA D +_N UM +Ġtime out +lem ma +rem e +u j +.A l +uc lear +( os +(" < +[ Ċ +f etch +Ġb al +Ġgu id +- align +ĠW rite +ĠOn ce +utow ired +OD ULE +Ġp itch +C F +by tes +ĠCom mission +Ġincre d +P ER +_ response +ĠL os +par ser +Ġass ume +. Request +ĠT oken +_p osition +Ġn om +- term +Ġrem aining +i ostream +Ġpie ces +ap y +ĠL ess +r ange +umb n +pr ise +_ option +Im pl +k wargs +Ġbusiness es +Al ert +Ġpart ies +ĠCont ainer +ĠPr ivate +ĠPl an +Ġregister ed +Ġj our +ack er +ен и +/ > +ch at +se ct +Ġcre ation +olut ely +Ġinst ant +Ġdel ivery +ick en +y es +ĠFr anc +bl ing +end a +[ ( +_r ange +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ +Ġsched ule +Con n +Ġthan k +x d +Ġh ook +Ġdocument ation +Param eters +H ello +v t +Ġart icles +Ġw est +def ined +. select +ok ens +ĠV AL +.f ile +res et +Ġmy s +ĠM A +] ), +Ġc ities +rel ated +å Ľ +Ġappe ared +Ġw id +.p anel +ĠIn s +. entity +Ġde cre +ĠL ou +(t ime +ĠTh ank +.create Element +Ġmention ed +oun ce +ĠT ry +ĠW all +/ images +ĠM enu +' čĊ +ĠE r +Ġcrit ic +ĠY ear +( param +Ġf lo +N N +oot er +Ġ ];Ċ +ĠA ff +" github +room s +Ġh yp +g lobal +Ġa vec +æľ Ī +Ġcomplet ion +Ġcon d +onym ous +( temp +Ġst ars +Ġre levant +Ġcover ed +Ġel im +_t ypes +( bool +Ġt u +_ex ists +Ġsec ure +Ġst ored +] / +x F +ĠCont roller +Ġm igr +M I +ĠD en +Ġann ual +U IL +- and +Ġcr ime +b el +Ġk itchen +@ g +_p h +ourn ament +ĠS ocial +ĠS pecial +log ger +Ġt ail +Ġun known +d ed +Ġapp rec +(d b +c f +Ġass ign +- out +ĠM ont +d p +w idget +Ġst one +- primary +. grid +Result s +az z +Ġda ughter +Ġcur r +Ġl in +Ġs outh +form s +ĠO UT +let te +ak s +ig ure +ĠE U +var iable +Ġb rief +ĠSc ott +Ġcon ference +and a +_ lock +or al +Ġe ine +OR S +//////////////////////////////// //////////////////////////////// +ess o +Ġr is +Ġg ender +est ic +L icense +( out +Ġm s +Se e +Ġwill ing +az e +Ġs ports +Ġy es +l u +Ġp urs +/j avascript +- pro +nav bar +_pro duct +/ bootstrap +Ġdr iving +Ġ Ä +Ġpro pos +ult ip +up lic +. email +Ġappro x +( cl +Ġwe ar +Ġrep ly +ass et +Ġ ice +Ġt x +k r +ĠGerman y +ĠGe orge +Ġc b +ĉ err +M ove +Ġpol y +vo ice +} " +Ġan imal +A v +ĠL ocation +Ġn ative +] [" +< double +Ġm ais +, int +Ġpre par +Ġinter val +plement ation +_ ERR +Ġb ug +> " +st at +Ġ} ,čĊ +< span +Ġfa ith +Ġ rom +pre v +ĠE lect +F ind +Ġg od +ot or +// ---------------------------------------------------------------- +orig inal +C pp +ĠSen ate +Ġposition s +Ġweap ons +Ġco ff +Ġpur poses +p ol +Ġim press +Ġanim als +. Entity +(n p +Ġmur der +Ġ` ` +fl ag +Ġsol utions +ĠAct ive +Ġb right +.d ate +Ġsit u +ï¼ Ī +. ID +Ġs ie +), čĊ +ak t +S pace +.d at +.index Of +h an +az ine +ĠZ e +Ġcr ash +( / +> = +Ð ± +iv a +.Auto Size +ĠL at +_ ext +Initial ize +.reg ister +OP Y +Ġre verse +_d is +'] [ +Ġprom pt +ont o +ĠJ ournal +r outer +Ġmys qli +# else +) " +-x s +let s +ph an +. LE +W ill +Ġaff ord +Ġsk ill +-t oggle +N C +B ind +T S +J ust +iter al +Y P +ĉ unsigned +Ġw ind +)) :Ċ +Ġw arning +ĠW ater +Ġd raft +Ġc m +Ġs am +Ġhold ing +z ip +ĠSc ience +Ġsup posed +G en +Ġdi et +< h +ĠP ass +v i +Ġhus band +� � +n ote +ĠAb out +ĠIn stitute +Ġcl imate +.Form at +Ġn ut +est ed +Ġapp arent +Ġhold s +f i +new s +C M +v ideo +': ' +D ITION +p ing +Ġsen ior +w a +-- >Ċ +_ default +ĠD atabase +re p +E SS +ner gy +.F ind +_m ask +Ġr ise +Ġk ernel +:: $ +. Q +Ġoffer ing +de cl +ĠC S +Ġlist ed +Ġmost ly +eng er +Ġblock s +ol o +Ġgover ning +\ F +Ġcon cent +.get Text +Ġm b +Ġocc urred +Ġchang ing +Sc ene +_C ODE +B eh +" The +Ġt ile +ĠAssoci ation +ĉ P +al ty +_ ad +od ies +i ated +Ġpre pared +poss ible +Ġm ort +TE ST +Ġign ore +Ġcal c +Ġr s +Ġassert Equals +Ġs z +ĠTH IS +. "Ċ +Ġcan vas +j ava +Ġd ut +VAL ID +.s ql +. input +Ġa ux +S up +Ġart ist +V ec +_T IME +.string ify +et ween +ĠC ategory +Ġ[ - +ĠDev Express +ĠJ ul +Ġr ing +. ed +Y Y +L et +Text Field +Ġfl at +_p rint +ĠOT HER +ad ian +Ġcheck ed +e le +Al ign +stand ing +Ġ[ ], +Ġl ab +uck y +ĠChrist mas +( image +.m odule +Ġl ots +Ġslight ly +(f inal +er ge +è ¿ +ĠPol ice +ĠR ight +Ġaw ard +ĠO S +Ġ{ }ĊĊ +Ġp tr +ov es +ic ated +еР¼ +Ġman age +olid ay +Am ount +ool Strip +t body +N av +w rap +B B +Ġwatch ing +ari os +Ġoption al +_ K +ĠL icensed +.M ap +T imer +ĠA P +ĠRe v +( o +, c +um in +eta iled +ĠH y +Ġbl ank +ag ger +ĠS elf +() [ +.m ake +ear n +ch annel +< pre +ble m +_p assword +_s p +ic ing +e z +Ġthe ory +ĠT er +, n +log o +ĠHT TP +() )) +.h andle +> ;Ċ +W orld +Ġpy thon +Ġl if +Ġtr av +Ġcon ven +com pany +ĠCl ub +V er +B tn +Ġz one +product s +ĠE duc +Ġver ify +ĠM il +on o +] );ĊĊ +EN CE +Ġpack et +Ġc er +Ġen umer +Ġpar s +form ed +Ġocc up +t re +Ġexerc ise +D ay +_s um +Ġask ing +apt ion +Ġord ers +Ġsp ending +ĠE RR +.D is +ĠU til +âĢľ I +\ ' +? ) +/ >Ċ +Ġem ot +Ġinflu ence +ĠAfr ica +att ers +Ù ħ +.s ession +Ġch ief +ĉĉĉĉĉĉĉĉ ĉĉĉ +Ġto m +clud ed +ser ial +_h andler +.T ype +ap ed +Ġpolic ies +- ex +- tr +bl ank +mer ce +Ġcover age +Ġr c +_m atrix +_ box +Ġcharg es +ĠB oston +P e +Ġcirc um +Ġfil led +Ġn orth +icture Box +ĉ res +è ® +Ġter min +Ġ[ âĢ¦ +IRE CT +Ġb er +Ġ" ../../ +ret ch +.c ode +_c ol +ĠGovern ment +Ġarg v +ĠL ord +as i +Ex ec +ĉ let +vert is +Ġdiscuss ion +en ance +out ube +type of +Ġs erved +ĠP ut +ĉ x +Ġs weet +B efore +ateg y +. of +ĠM aterial +S ort +ON T +ig ital +Wh y +Ġs ust +Ġ ç +ab et +Ġseg ment +Ġ[ ],Ċ +ĠMus lim +Ġfind ViewById +c ut +_T EXT +ĠM ary +Ġlo ved +Ġl ie +ĠJ O +Ġis set +mon th +Ġpr ime +t i +ĠCar ol +U se +ĠP op +ĠS ave +Int erval +ex ecute +d y +ĠI ran +_ cont +ĉ T +Ġph ase +check box +we ek +Ġh ide +Ġt il +Ġj u +C ustom +b urg +/ M +T ON +Ġqu ant +Ġr ub +ix els +Ġinst alled +Ġd ump +Ġproper ly +( List +Ġdec ide +app ly +H as +Ġkeep ing +Ġcitiz ens +Ġj oint +p ool +S ocket +_ op +Ġweap on +gn ore +ĠEx ec +ott en +ĠM S +Ġ( - +ĠRe view +Ġex amples +Ġt ight +! ( +D P +ĠMessage Box +Ġphot ograph +UR I +é t +l ow +ĠGr and +.p ersistence +Ġmaint ain +Ġnum s +Ġz ip +ial s +ĠG ets +pe g +ĠB uffer +~~ ~~ +ra structure +ĠP L +u en +ob by +size of +Ġp ic +Ġse ed +Ġexperi enced +Ġo dd +Ġk ick +Ġproced ure +avig ator +- on +, j +ĠAl though +Ġuser Id +ac cept +Bl ue +IC olor +l ayer +av ailable +Ġend s +.t able +Ġdat aset +b us +Ġexpl ain +( pro +ĠCommit tee +Ġnot ed +] :Ċ +D im +std io +. ",Ċ +_s ource +ĠWe ek +ĠEd ge +Ġoper ating +Ġest e +i pl +ag ination +Ġpro ceed +Ġanim ation +.Model s +ĠW atch +i at +Ġopp on +/ A +Re port +Ġs ounds +_b uf +IEL D +Ġbu nd +ĉ get +.p r +(t mp +Ġk id +>ĊĊ Ċ +Ġy ang +Not Found +Ñ Ĩ +m ath +@g mail +ĠL IMIT +red ients +Ġv ent +avig ate +L ook +Ġrelig ious +Ġr and +ri o +( GL +_ ip +u an +ici ency +ĠCh ange +> čĊčĊ +ĠEnt ity +Ġrencont re +ĠR et +pl an +é n +BO OL +ur ies +tr ain +Def inition +======== ==== +z z +An imation +ĠO K +_m enu +.b l +_s core +Ġac ad +( System +Ġref resh +'=> $ +.G raphics +ament o +p id +t c +Ġt ips +Ġhom es +Ġf uel +â ĸ +_h elper +ĠĠ čĊ +ĠR oom +.C lose +_ attr +ĠM ount +ĠE v +ar ser +_t op +e ah +ĠDe lete +ãĢ į +u ke +Ġus age +ar ia +_de v +Ġtext ure +Ġconvers ation +e per +Be an +d one +non atomic +ĠSe cond +Ġshoot ing +_p re +Com ponents +Ġ] ĊĊ +__ , +stit ution +.Ch ar +> ();ĊĊ +Ġpresent ed +Ġw a +ok er +- ĊĊ +in er +Ġbe coming +Ġinc ident +At t +Ġreve aled +for c +Ġbo ot +.p age +Enumer ator +_ -> +Ph oto +Ġs pring +. ", +ĠD ictionary +B JECT +Ġloc ations +Ġs amples +Input Stream +ĠB rown +Ġst ats +qual ity +Ñ ħ +-d is +Ġhelp ing +Ġp ed +( se +ĠWh o +al ian +int ernal +Ġf t +> (). +-> { +Ġm ine +Ġs ector +Ġg ro +Ġopport unities +Ġà ¼ +Ġm p +Ġalleg ed +Ġdoub t +M ouse +Ab out +_p art +Ġch air +Ġstop ped +lo op +ent ities +Ġapp s +ans ion +Ġm ental +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ +F R +Ġdef end +c are +Ġide al +/ api +ur face +Ġe le +ul ator +ĠR ights +angu ages +Ġfund s +Ġad apt +At tributes +Ġdep loy +opt s +Ġvalid ation +Ġconcern s +u ce +.n um +ult ure +il a +Ġc up +Ġp ure +.F ore +ĠHash Map +.value Of +as m +M O +Ġc s +Ġst ores +Ġ ************************************************************************ +Ġcommunic ation +m em +.Event Handler +. Status +_ right +.set On +S heet +Ġident ify +ener ated +order ed +Ġ" [ +Ġs we +Con dition +ĠA ccording +Ġpre pare +Ġro b +P ool +Ġs port +r v +ĠR outer +Ġaltern ative +( [] +ĠCh icago +ip her +is che +ĠDirect or +k l +ĠW il +key s +Ġmy sql +Ġw elcome +k ing +ĠMan ager +Ġca ught +) }Ċ +S core +_P R +Ġsur vey +h ab +He aders +AD ER +Ġdec or +Ġturn s +Ġr adius +err upt +C or +Ġm el +Ġin tr +( q +ĠA C +am os +M AX +ĠG rid +ĠJes us +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ +.D E +Ġt s +Ġlink ed +f ree +ĠQ t +Ġ/** čĊ +Ġf aster +ct r +_ J +D T +.C heck +Ġcomb ination +Ġint ended +- the +- type +ect ors +am i +ut ing +Ġum a +X ML +U CT +A p +ĠR andom +Ġr an +.s ort +Ġsort ed +. Un +_P ER +it ory +Ġprior ity +ĠG al +ĠO ld +h ot +ĠD isplay +(s ub +_T H +_ Y +ĠC are +load ing +K ind +_h andle +, , +r ase +_re place +.add EventListener +ĠR T +Ġenter ed +g ers +Ġ ich +( start +/ app +Ġbro ther +M emory +Out let +Ġ utf +pre c +Ġn avigation +OR K +Ġd st +D etail +Ġaud ience +Ġd ur +Ġcl uster +un ched +Ġ ], +Ġcomfort able +. values +ĠT otal +Ġsn ap +Ġstand ards +Ġperform ed +h and +(" @ +å Ń +Ġph il +ib r +tr im +Ġfor get +Ġdo ctor +.Text Box +icon s +, s +ĠO p +S m +St op +ĉ List +ĉ u +Com ment +_V ERSION +.X tra +P erson +r b +LO B +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ +ĠCent ral +IC K +ra q +Ġput ting +Ġm d +ĠL ove +Pro gram +B order +o or +Ġallow ing +a fter +Ġent ries +ĠMay be +] ). +ĠSh ort +) \ +.n ow +f riend +Ġpre fer +ĠG PIO +os is +ĠGame Object +Ġsk ip +Ġcompet ition +_m atch +lic ations +_CON T +.group Box +Ġal s +" We +_e q +l an +_ search +ĠMus ic +as is +Ġb ind +ĠIs land +r um +( E +Ġse at +V ideo +Ġa ck +ree k +={ () +Ġr ating +Ġrestaur ant +DE X +(b uf +pp ing +ual ity +Ġle ague +Ġfoc used +ap on +$ data +CL UD +CLUD ING +Ġabs olute +( query +Ġtell s +A ng +Ġcomm unities +Ġhon est +ok ing +Ġap art +ar ity +/ $ +_m odule +ĠE nc +. an +.Con fig +C re +Ġsh ock +ĠAr ab +I ENT +/ re +Ġre trie +ycl er +is a +ĠO rgan +. graph +Ġ í +ĠB AS +En um +Ġposs ibly +ÑĢ аР+ĠJapan ese +Ġc raft +ĠPl ace +Ġtal ent +Ġfund ing +Ġconf irmed +Ġc ycle +/ x +G E +Ġhe aring +Ġpl ants +Ġm outh +p ages +or ia +ĠRem ove +_t otal +Ġo d +oll apse +do or +Ġb ought +Ġadd r +AR CH +_d im +dd en +Ġdec ades +RE QUEST +Ġvers ions +f ire +Ġmov es +f b +Ġcoff ee +.con nect +ĠR ow +Ġs chema +S cope +- Type +Ġfight ing +Ġret ail +Ġmod ified +T F +File s +n ie +_com mand +st one +Ġ ÑĤ +_ thread +Ġb ond +ĠDevelop ment +Ġp t +F ORM +ple t +Ġident ified +c pp +Ġc oding +ok ed +ĠM aster +ID TH +Ġres idents +red it +ĠPh oto += - +un te +ate ur +_ST ATE +ĠS ing +Ġshe et +. val +or se +Ġh ers +Ġdetermin ed +Com mon +Ġw ed +_ queue +P H +ĠAt l +cre d +/L ICENSE +Ġm es +Ġadv anced +.j ava +.S h +G o +k ill +f p +_set tings +Ġp al +Ġtr uck +Ġcomb ined +Ġ" ${ +ĠCor por +Ġjo ined +ĠJ ose +ĠC up +un s +est ival +lev ision +Ġbro ken +Ġmar riage +ĠWest ern +Ġrep resents +ĠT itle +Ġs s +.A ss +ongo ose +ient o +< >();Ċ +Ġabs olutely +Ġsm ooth +TER N +ĠUn less +W ord +Ġmer ge +ig an +ĠV ol +Ġn n +.get Id +ĠÐ · +Ġsex y +Ġseek ing +S ingle +. this +Ġk om +b ound +; " +Ġfont Size +_d f +Ġinj ury +( H +Ġiss ued +_ END +: self +Ġp atch +Ġle aves +Ġad opt +File Name +ãĢ IJ +Ġexec utive +ĠBy te +] ))Ċ +Ġn u +out ing +clud ing +- R +. options +Ġsub stant +av ax +ĠB UT +Ġtechn ical +Ġtw ice +Ġm ás +Ġun ivers +y r +Ġdr ag +ĠD C +Ġs ed +Ġb ot +ĠP al +ĠH all +forc ement +Ġa uch +.m od +not ation +_file s +.l ine +_fl ag +[ name +Ġres olution +Ġb ott +(" [ +end e +( arr +F ree +( @" +ĠD istrict +PE C +: - +P icker +ĠJ o +ĠĠĠĠĠ Ċ +ĠR iver +_ rows +Ġhelp ful +Ġmass ive +--- Ċ +Ġmeas ures +ĠR untime +Ġwor ry +ĠS pec +ĉ D +ãĢ ij +Ġ) {Ċ +Ġwor se +(f ilename +Ġl ay +Ġmag ic +ĠThe ir +ou l +st roy +ĠWh ere +Ġsu dden +Ġdef e +Ġb inding +Ġfl ight +ĠOn Init +ĠW omen +ĠPol icy +Ġdrug s +ish ing +(' ../ +ĠM el +pe at +t or +Ġpro posed +Ġst ated +_RE S +Ġe ast +ĠCON DITION +_d esc +Ġwin ning +fol io +M apper +ĠP an +ĠAn ge +.s ervlet +Ġcop ies +L M +Ġv m +å į +Ġd ictionary +S eg +el ines +ĠS end +Ġ iron +ĠF ort +.d omain +Ġdeb ate +Not Null +e q +ach er +l f +ĉf mt +Ġlaw y +Ä Ł +ĠM en +Ġtr im +( NULL +Ġ! ! +Ġp ad +Ġfollow s +"] [" +re qu +ĠE p +.g ithub +( img +et o +(' \ +S ervices +umbn ail +_m ain +ple ted +fort unately +Ġw indows +Ġpl ane +ĠCon nection +. local +u ard +} \ +== " +and on +ĠR oy +w est +ig inal +em ies +it z +') :Ċ +ĠP eter +Ġt ough +Ġredu ced +Ġcalcul ate +Ġrap id +c ustomer +Ġeff icient +Ġmed ium +Ġf ell +. ref +ĠC as +Ġfeed back +S peed +( output +aj e +Ġc ategories +Ġfe e +} ; +Ġde leted +re h +Ġpro of +D esc +B uild +Ġs ides +.Array List +- % +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ +Ø ± +.m atch +л и +Ġfe els +Ġachie ve +Ġcl im +_ ON +ĠC D +Ġteach er +_c urrent +b n +_P L +ist ing +En able +G EN +Ġt v +Ġso ck +Ġpl ays +Ġdis count +ĠK E +ĠDe bug +F ore +ĠI raq +Ġappear ance +M on +Ġst yled +ĠH uman +i ot +ĠH istory +Ġs ac +ĠC ollection +Ġrecomm ended +.Se lected +Ġorgan izations +Ġdiscover ed +co hol +ad as +ĠThom as +M ay +Ġcons erv +Ġdom in +ĠF ollow +ĠSe ction +ĠTh anks +User name +Ġrec ipe +Ġwonder ful +.s leep +_ if +ĉĊ ĉĊ +orn o +Ġr u +_t arget +." " +à ¦ +Event Args +Ġinput s +Ġf if +Ġv ision +c y +ĠS eries +) ((( +Ġtr ading +Ġmark er +B egin +Ġtyp ically +Ġca uses +drop down +_DE BUG +Ġdet ect +c ountry +! ");Ċ +ĉ R +app y +Ġc ref +(' < +" => +ĠL E +read er +Ġadmin istr +à µ +uck et +Ġf ashion +. char +iz ar +Ġdis able +Ġsu c +ĠL ive +iss ue +Ġmet adata +fl ags +Ġ ðŁ +Ġcomm itted +Ġv a +Ġr ough +Ġ'' 'Ċ +Ġhigh light +_var s +V O +Ġenc oding +- Z +_s ign +$ ("# +Ġr ain +reate st +ĠEN D +Se lection +Ġcandid ates +Ġs av +. Empty +Ġdec isions +Ġcoll abor +rid ge +fe ed +ress ion +Ġperson s +V M +eg a +_B IT +A ccording +ack ed +Ġdoll ars +_lo ss +ĠC ost +} "Ċ +Not ification +Ġpro stit +Ġauthor ity +.re c +Ġsp okes +ĠT oday +ist ant +ĠHe ad +âĢĿ . +ertain ment +ce an +cul ate +Ġv en +How ever +_ arr +Ġtok ens +G raph +ĠJ ud +ĠVir gin +ĠS erial +un ning +M utable +ag ers +.c sv +Ġdevelop ing +Ġinstruction s +Ġprom ise +Ġrequest ed +_ encode +/ " +ĠI con +u ilt +- day +Ġint elligence +. IS +ĠO bservable +ĠH ard +Bo ol +ident ial +.An chor +Ġsell ing +C I +AG ES +t le +b ur +UFF ER +R Y +Ġbig ger +Ġr at +Ġfam ous +Ġtyp ename +Ġexpl ained +} }Ċ +Ġn uclear +- N +Ġcr isis +ĠEnt er +Ġan swers +/ ${ +/ pl +Ġse qu +_n ext +m ask +Ġstand ing +Ġpl enty +ĠC ross +ĉ ret +d ro +ĠC ast += true +ĠCh ris +ic io +ĠM ike +Dec imal +add Component +L en +Ġco ck +Ġ# { +UR N +< tr +Ġauthor ities +Res ources +- H +B ottom +_ qu +put er +ester day +Dis patch +s ince +Ġfam iliar +, i +V C +Ġm ent +, C +Ġfre edom +Ġr outes +ĠB uy +Ġcomm ands +Ġm esh +/ C +ĠSet tings +- style +Ġw itness +Ġc le +Ġun ion +ef ault +are t +Ġthought s +Ġ ---- +_pro cess +_ us +ing ly +U ES +T ouch +ĠÐ ¼ +_ open +ĠV ec +Ġre ward +.C lick +/ : +Ġn ie +Ch anges +M onth +ï¼ Ł +Ġexec ution +Ġbe ach +( Integer +ĉ a +/ ' +.Font Style +Ġab ort +ĠS ingle +( isset +Ġd p +Ġ}} +Ġ* = +ĠP S +Ġdanger ous +[ p +OM E +O ther +ĠString Builder +Point s +head ing +Ġc urrency +Ġpercent age +_A PI +Ġclass ic +the ad +ĠM O +F E +Id x +aw ait +Ġà ¨ +Ġacc ident +Ġvari ant +Ġm yst +ĠL and +ĠB re +Ġh arm +ĠA cc +Ġcharg ed +ion es +Vis ibility +ar ry +ĠL anguage +Ġwalk ing +" .ĊĊ +if er +Ġleaders hip +.F rom +yn am +Ġt imestamp +i pt +ĠH as +REF ER +ĠIt s +Ġlist ener +UT E +_d escription +Ġexperi ences +Ġcre ates +R S +c art +bl ack +Ġcho ices +w ar +Ġ'' ' +Ġorder ed +Ġeven ing +Ġp il +Ġt un +ĠB ad +( app +r andom +Ġexp licit +Ġarr ived +Ġf ly +Ġecon om +-m ail +Ġlist s +Ġarch itect +ĠP ay +Ġd s +ĠS ol +Ġveh icles +H z +- com +Ġk ing +_e qual +ĠH elp +Ġab use +-- ;Ċ +Ġex tr +Ġchem ical +ä ¿ +Ġor ient +Ġbre ath +ĠS pace +(e lement +w ait +DE D +ig ma +Ġent r +Ġs ob +- name +Ġaff ected +ik a +Ġco al +_w ork +Ġhundred s +Ġpolit ics +sub ject +Ġconsum er +ANG E +Ġrepe ated +S end +Ġ# [ +Ġprot ocol +Ġlead s +use um +E very +Im port +(c ount +Ġchalleng es +Ġnov el +Ġdep art +b its +.C urrent +Ġ` ${ +ot ing +( \ +Ġcreat ive +Ġbu ff +Ġintrodu ced +us ic +mod ules +A re +-d oc +l anguage +_c ache +Ġto d +? > {{ +ĠRes ource +ĠSt andard +ĠP rem +up dated +ival ent +Ġas sets +_t emp +Ġinterest s +Ġhard ware +ĠR om +ĠSh are +Ġ' 'Ċ +Ġ* , +ĠT ake +ĠIm ages +_C HECK +(type of +ĠJ un +\< ^ +Ġli qu +Ġwor st +ymb ols +ĉĉĉ ĠĠĠ +Ġdr ivers +ĠD ocument +en o +ĠTechn ology +Ġappro ved +ump s +Ġs now +form ance +_A SSERT +u its +Ù Ĩ +Ġdiffer ences +. Visible +ĉĉĉ čĊ +ĠP s +_f etch +Ġto do +. ',Ċ +Ġs el +ur ers +in valid +Ġt weet +V EL +Ġresearch ers +Ġs printf +ĠR O +Ġp el +.Tr ans +Ġil legal +d ialog +sm arty +l g +_M IN +Ġher o +f inal +Ġp p +.L e +Ġc i +ĉ RT +Ġsuggest ed +p df +ach ing +ĠR o +ĠProp erties +ĠS i +Ġbuy ing +Ġm u +Ġl ands +if iers +ĠF ILE +RO UP +Ġh older +ĠS on +Ġsym pt +.r oute +) ? +Ġarg c +Ġfor t +Ġcas ino +_c ategory +Ġfor um +p refix +apt ure +T ube +em s +im ize +Ġn ue +a us +c ourse +AT OR +() ), +Ad vertis +ING S +Ġack now +ĠKore a +pl ing +Ġwork er +PL IED +h al +ĠRich ard +Element s +ĉĉĉ Ġ +st ar +Ġrelationship s +Ġche ap +AC H +ĠX ML +, & +ĠLou is +Ġr ide +_F AIL +Ġch unk +[ s +_O UT +Ġch osen +_ [ +/ ( +ĠJ eff +_s l +pr iv +ĠCan adian +Ġun able +_F LAG +Ġn os +h igh +Ġl ift +f un +() { +el ly +ycler View +_ as +_L IST +Ġr adi +.get Value +ĠAnge les +ĠS pan +_in stance +it ors +Ġm igration +A K +O h + ® +. selected +ĠG T +Ġadv ance +ĠSt yle +.Data GridView +e ction +Ñ İ +p io +ro g +Ġsh opping +ĠR ect +I lluminate +O U +ĉ array +Ġsubstant ial +Ġpre gn +Ġprom ote +IE W +.L ayout +Ġsign s +/ . +Ġlet ters +Bo ard +ct rl +" \ +ĠJ ones +Ġvert ex +Ġj a +Ġaff ili +Ġwe alth +ĉ default +Ġsignificant ly +Ġe c +Ġx s +act ual +.p er +_st ep +an vas +m ac +Ġtrans l +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Iter ator +Ġo ch +agnost ic +ĠD uring +ĠDE FAULT +Ġt ill +Ġsign ature +Ġb ird +ĠO l +ĠI r +H S +av atar +ESS AGE +Ġe lev +Ġm t +ĠN av +Ġrel ax +Ġpl ate +IT EM +( date +.n ot +Ġgr ade +Ġ} ),Ċ +? "ĊĊ +i ences +H igh +ĠD IS +dis abled +Q UI +Ġno ise +a ux +ĠU P +os a +Ġv oc +Ġ )) +oc om +_O FF +ĠD b +L ock +.e clipse +, d +ĠD raw +Ġ" ( +Ġvis ited +Ġâ Ī +Ġsuc ceed +Ġim possible +a ire +ĠT urn +Ġd ish +F G +Ġs ensor +AN N +ab a +Ġsur g +] );čĊ +Ġf p +_ an +- J +- G +ĠJ ob +Con vert +ĠKE Y +Ġauth ors +_s erver +\ r +Ġ-* - +f lex +Ġs oc +R et +Ġs alt +ĠâĢ¦ ĊĊ +ĠC lear +(p age +-d anger +Ġroom s +con v +# { +. op +ĠA rea +_S C +h en +Ġbeg ins +- y +Ġexc ited +Ġign ored +Ġbon us +st udent +ĠM ember +Ġrel atively +ĠL ow +ĠPro du +ate way +pos ure +Ġth ick +ani el +( view +ĠCr ush +Ext ension +I l +e ed +LO C +. im +. Items +Ġconflic t +.pre vent +Ġon Create +u v +is er +Ġw ave +M ar +ĠComm unity +ic he +ĠNo thing +[ m +ĠLe e +ri ends +è re +!! ! +an z +. result +ĠS K +_P ARAM +Ġdem ocr +Back Color +.ex ists +" It +( options +ra zy +as er +\ Database +al endar +_ ass +; }Ċ +vert ex +ine craft +W arning +arg o +Ġact or +ĠInst ead +ĠUs ing +S elf +@ interface +Ġspe aking +ĠPar is +ĠL ICENSE +.n ode +ĠF ood +E IF +ĠB i +. Start +ĠI B +Ġun iversity +ĠHe ader +.pro duct +C opy +et c +r ical +Ġ> >> +book s +Ġal gorithm +Ġ' __ +(j avax +Ġnumer ous +Sh are +H ave +Ġrec ru +Ġpro ve +.sub string +he alth +е л +Ġdec imal +Ġcomm ission +s cription +x C +Ġsum mary +att ed +Ġclo ser +fin ished +() ){Ċ +ĠW ood +_field s +k u +_ items +Fl ag +Ġconf idence +ĠF ederal +du x +Ġcomp at +Ġvert ical +Ð ¹ +è s +; ">Ċ +_m anager +() ))Ċ +ID E +: ", +__ Ċ +ĠW ay +Ñ Ī +T emp +ĠS TR +rit ten +S ync +ĠA V +ĠC EO +ĠG uid +Ġenvironment al +Ġcorrespond ing +ĉ console +Ġjust ice +ĠJ S +Ġl ived +g ar +ĠG raph +ĠSt at +Ġi Phone +. al +ĠH D +Ġocc ur +Ġth reshold +Ġon click +RE G +.Graphics Unit +M eta +Å ¾ +Ġc um +.g nu +à « +Ġobt ained +Ġcompl aint +Ġe ating +Ġt ar +_t ask +Ġopt s +( to +P ass +Ġpl astic +t ility +ĠW in +.prevent Default +p ile +ĠG ar +Ġqu antity +_l ast +Ġg reatest +D ao +_D IS +ĠUs ed +ĠH P +rit ing +S ION +bl ue +d omain +Ġs cores +N ormal +_ admin +ĠA SSERT +Th en +** * +d ist +l on +Ġh ate +sh al +Image View +d atabase +Ġp and +Ġlog ic += false +b g +ĠConfig uration +Ġn ur +O G +Ġmar ried +: + +Ġdro pped +Ġreg istration +оР¼ +ult iple +iz ers +sh ape +.c opy +Ġwe aring +ĠC ath +Ġded icated +Ġ.. .Ċ +Ġadv oc +ĠF amily +Ġstat ements +em atic +ampions hip +Ġmot iv +ĠH ave +Ġbl ow +J ob +c ert +_v ector +inst all +ĠC OPY +em bed +D IR +ĠS pring +Ġex hib +cd n +ĠCom ment +ĠOption al +. player +ĠD ark +( pos +ĠSh ould +Ġcent re +ĠGu ard +ó w +Ġtr ouble +EN ER +( unsigned +_s ervice +Ġn s +ul ing +ĠMex ico +ĠN Y +mys ql +Ġl ic +å ľ +M r +- fl +ĠC ustomer +id i +Ġ? >ĊĊ +ri ble +Ġп ÑĢ +Ġs izes +_STR ING +valid ation +ĠJ on +( Http +add Class +N odes +Ġfrag ment +Ġsp oke +Ġw aste +J oin +Ġill ustr +el i +c ient +Ġa id +Ġpro sec +') {Ċ +Ġpass ing +Ġf aces +Sh ape +_ Z +it i +Ġal le +Ġro bot +ĠĠĠĠĠĠĠ Ċ +ĠS pe +Ġrece iving +ĠD etails +Ġ" ) +m g +_RE F +Ġcompar ison +* , +ĠF ound +_s ession +( U +/ F +Ġx xx +N etwork +d ers +Ġcap ture +Ġcor re +ĠL td +ĠAd v +[ @ +Ġcl ip +M ill +ĠPro file +Ġend if +Ġob lig +des cribe +.e lement +riter ion +L D +er ed +Ġfav our +s core +ĠF ilter +at tributes +Ġcheck s +In flater +ĠPl us +Ġscient ific +Ġpriv acy +He ad +Ġfe at +Ġdeg rees +ĠP ale +; "> +Ġfil ms +ĠA udio +ĠT ag +ĠE nergy +it ar +par ator +Ġf ellow +Ġev t +ĠT ri +ĠD AM +cl oud +ĠP assword +ĠDemocr ats +ĠAc ad +$ lang +Ġre b +() )ĊĊ +н Ñĭ +ĠB ur +read cr +Ġh ex +Con sole +ct l +ous el +ĠWill iam +Ġa z +_P ORT +Ġpract ices +Ġany where +ĠP osition +Ġ- >Ċ +i ams +.user name +place holder +Ġo der +ĠSecret ary +Ġi T +mon d +event s +? âĢĿ +.S ub +Ġatt ached +Ġn ão +Ġest ate +. action +Ġfig ures +Ġ} );čĊ +Ġsubs cri +.t ag +n am +. plot +no on +li ament +Char acter +.t ab +Ġw inter +ĠVar iable +Ġtre es +Ġpr oud +( V +_ load +Ġh ier +ĠE con +Ġf d +Ġvict ims +R est +ian a +Ġf ake +.Print ln +Ġstr len +Ġs ad +Ġb le +Pro t +Ġbutton s +Ġte levision +Ġlog o +ext ension +ĉ j +ste in +acion es +Ġ"" "ĊĊ +Ġsim p +Ġrecord ed +Ġbr ings +Ġprincip al +Ġfe es +(s ource +k dir +Ġutil s +Ġcorrect ly +f il +Ġw el +P air +-b utton +s cale +ver ify +[ c +Ġ-- - +Ġes cape +ik es +Lower Case +ic ian +Ġch apter +ĠT YPE +Ġsh adow +Ġaw esome +W E +el if +Ġl ambda +Ġdist inct +Ġb are +- off +Ġcol our +.append Child +ole c +ag a +.f ill +ĉs uper +Ġad j +( position +.get Item +Sh ort +Ġtot ally +V D +ĠT re +_ ep +v ements +ĠS olution +Ġfund ament +F ollow +Ġfac ility +Ġhappen ing +O F +.text Box +S pan +Ġ « +id en +Ġex ceed +(p arent +Ġc p +ç » +Ġhas n +Ġp ri +Ġcon sequ +n en +ĠIN TO +I gnore +ĠF uture +Ġcar bon +ĠSte el +f mt +ok ie +Ġs pl +(t itle +- info +Ġde als +Ġfix ture +e a +D iv +Ġtest ed +_ return +)ĊĊ ĊĊ +upport ed +ĠC ook +Ġpay ing +ĠI ll +Ġarrest ed +ĠPr ime +_c allback +> ,Ċ +dr iver +On ce +ab b +_by tes +ĠS ets +( Object +Ġc c +Ġsh ell +al o +); // +( log +ct ors +) +Ġ$ (". +.p os +Ġbo ys +Ġwed ding +Ġag ents +=" _ +ĠAr my +Ġh int +v ision +Ġte ch +ĠCon nect +Ġleg end +ĠB et +.B ase +Sub ject +Ġl it +Rem ove +Ġ" : +ĠF inal +pear ance +ĠiT unes +Ġparticip ants +ĠPy thon +Ġbus y +i el +vert ices +Ġtemplate Url +ĠC lose +Im g +ĠCorpor ation +t imestamp +Ġext end +Ġwe bsites +Ġposs ibility +о ÑĤ +Ġk ö +Ġme at +Ġrepresent ation +Ġ ĉĉ +_ST ART +.app ly +ĠVal ley +ĠS uccess +H i +Ġn ob +ĠI Enumerable +_ select +ge o +. ")Ċ +Ġturn ing +Ġfab ric +(" ");Ċ +Ġpers pective +é Ĺ +ĠS n +Th ank +; j +.Param eters +ĉ ĠĠĠĠĠĠĠĠĠĠĠ +Ġfact s +Ġun t +.in stance +################################ ################################ +- end +ĠJO IN +ĠH en +Ġur i +åIJ į +Ġн а +ĠIn fo +Ġconduct ed +Ġà ¥ +OUR CE +Ġw ine +J ohn +.Error f +ĠA ge +ound ed +Ġreal ize +Ġ] ; +Ġsub sequ +, m +( User +ian o +Ġaccom pl +is p +.st d +é ĩ +ĠB ed +.set Attribute +B R +ke ep +ĠA LL +Ġis ol +am ma +P ackage +Ġoccas ion +-s uccess +еР´ +ĠLIMIT ED +st rip +() ĊĊĊ +istrib ution +Color s +Ġ+ :+ +Did Load +al er +Ġt id +ĠL ED +ĠLink ed +ĠC art +() )čĊ +_RE AD +Ġkill ing +ĠP HP +fe ction +Ġinst ances +c v +"/ > +Ġs f +Ġtax es +_ location +ĠBit coin +u able +r ank +ign ore +tr ack +к а +Ġshould n +ĠO P +=> {Ċ +Ġk m +Ġh elper +_ head +ĠWh ether +oc o +_b l +Ġstat istics +Ġbeaut y +Ġto g +t ip +ëĭ ¤ +Ġc sv +(s ql +std lib +we ak +Ġlik es +Ä į +Ġrepe at +Ġap artment +Ġem ph +_ edit +Ġv it +ĉ type +E ven +ut en +Ġcircum stances +b ian +Ġs ugar +W indows +ì ŀ +Ġobs erved +/ data +Ġcal endar +Ġstri ke +ĠR ES +_s c +f ony +ore m +( z +p ower +et ect +ĠS at +.d escription +Ġg ang +ĠS ports +ong s +ĠB undle +.s um +on ce +Ġacc used +Ġexplo re +Ġapprox imately +Ġlos ing +thes is +ĠF und +Ġdi agn +A utowired +prop erties +Ġ_ . +Ġc nt +ced ure +Ġy y +Ġgr ant +so ck +.inner HTML +Ġ] );Ċ +ĠCON FIG +=' $ +] ];Ċ +UN D +Ġg lob +Ġd ire +uff le +_M EM +Ġauth entic +> (" +Ġdec ade +ĠIm port +Ġorigin ally +Ġj Query +Ġindic ate +Ġours elves +S w +.l bl +ener ate +Ġbas ically +ĠH om +Ġ+ #+ +ĠBrit ain +ĠK ar +to Equal +.st op +Ġmod al +is i +Ġsuggest s +Ġd type +Ġt ur +b f +Ġconnection s +ĠB efore +ist ed +m ouse +Ġpul led +.b uild +Ġlegis lation +Ġfor th +p ad +eg o +.N ow +Ġexc iting +}ĊĊ ĊĊ +Ġcom pr +Ġsh ares +Ġr ig +g reen +_ vec +Ġenumer ate +A uto +ic ator +ĠR ay +as se +Ġh oliday +Ġnull able +g un +_d etails +Ġwr apper +se q +ĠYou ng +ju ana +Ġ" __ +lic ense +ser ve +^ ( +id ers +.Rem ove +rop down +' S +p in +(t oken +.D efault +Ġreason able +amp ion +ĠS ociety +Ġbe i +erv es +r ad +ĠF ox +_ images +Ġw heel +') [ +Ġc fg +( By +Con structor +Ġv ary +.sw ift +Ġpro xy +ĉ H +ĠAn other +ĠP en +Ġcheck ing +Ġj est +man ager +Or igin +ug s +o ir +>< !-- +Ġexpress ed +Ġmod er +Ġag encies +Ġi h +-h idden +ious ly +ĠR od +Ġso le +M ed +.A ny +Ġp c +b al +Ex ample +ĠS ale +Ġst rip +ĠCom p +Ġpresident ial +M ost +put ation +( ref +ĠF our +_f ilename +Ġen forcement +Ø ¯ +ĠGe org +we ights +/ l +Ġag gress +Ġd rawing +and y +< I +- j +ak a +h ref +Ġteach ers +_ Q +( it +ĠM B +Ġtemp orary +ire base +str a +æĹ ¶ +è ´ +( label +ou p +Ġtop ics +Ġport ion +id os +ĠJew ish +Ġre covery +Ġstand s +# [ +Ġafter noon +ĠArt icle +_ att +Ġexpl an +ĠP ak +.setOn ClickListener +. children +Ġi k ++ ( +l ag +Ġdis k +Ġcont rovers +"> & +as p +Ġw ie +ĠAustral ian +ĠYou Tube +At tr +cont ains +du ce +ĠM att +at ern +Ġvol unte +Ġnew sp +V P +olt ip +Ġde legate +_m eta +Ġaccur ate +ĠEx ample +% , +ĠD aily +Ġc abin +ĠS W +Ġlim its +k ip +Ġar my +Ġend ing +Ġb oss +ĠD ialog +Al so +="# " +ord an +row se +- min +Ġ" & +_ loc +U X +Ġdevelop ers +Ġaccur acy +Ġmaint enance +Ġhe av +Ġfil ters +.T oolStrip +Ġn arr +ĠE mp +ORD ER +ĠM obile +.S erial +.out put +.c ol +M aterial +um a +Ġconsum ers +sh ift +Ġp ued +Ġmin i +c ollection +Ġk an +.c enter +H istory +Ġben ch +() ); +itor ies +Ġcrow d +_c all +Ġpow ers +- E +Ġdis miss +Ġtalk s +ĠCh annel +for ward +_ control +/s rc +i est +**************** ******** +Ġbet a +(c olor +_O BJECT +ĠA pi +Ġeffect ively +C amera +s d +uss y +D ict +ĠE ffect +ib ilities +Ġreturn ing +ĠF ar +Ġ' ') +Ġmod ules +il ation +Ġ( % +TR GL +Ġst orm +on na +ĠEX P +Ġs pons +Ġdis pl +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ +f all +å Į +ign Key +_ US +et rics +Ġhand les +T L +_ amount +ow a +br and +ĠT ool +Ġus ual +. Z +cre ment +ad ium +st ock +Ġserv ing +ĠB on +Ġline ar +ĠT arget +ĠR adio +H L +Sh ader +om atic +ag ues +in ity +d iff +_ iterator +qu ot +Ġ ,Ċ +c allback +Ġsympt oms +[ _ +ĠB ul +ĠF eb +und o +_ account +Ġtyp edef +и Ñģ +tr as +User Id +ĠP enn +ĠSup reme +} > +user Id +ĠK im +Ġg a +Ġart ists +å ¸ +ĠAb stract +ok emon +Ġh am +o val +Ġch a +at en +å Ĩ +F ixed +Ġvul ner +ĠParam eters +qu antity +.C lear +Servlet Request +Ġy a +Ġsou l +trans action +Ġsol o +Ġp airs +æ Ķ +ĠG re +_ word +ĠC C +Ġg i +z ie +Ġsched uled +rot ation +gy pt +ul ous +:: _ +ĠE ll +< ! +ĉĉ ĠĠ +l p +ah a +C opyright +Ġdr am +Ġdi agram +ĠM em +Ġg arden +Com p +Ġattempt s +uff ix +> () +Ġphil osoph +_re l +å ¼ +Ġs v +.se cond +ant o +.J son +ĠTe le +_ local +_s end +Ġas pects +ì Ĺ +IB LE +Ġr ail +Ġwid ely +ash ed +i ar +in f +up per +d jango +_result s +iss ing +Ġequ ivalent +OUN D +Ġt y +Ġpotential ly +Advertis ement +ĠRec ord +resent ation +_w idget +ound ing +Ġrelig ion +Ġcons c +ĠL im +. am +H tml +Ġ' : +P ATH +_s pec +ort ed +id ades +_sh ape +Ġkeep s +.S ave +ĠL oc +or i +ĠT EST +unic ip +Ġreg ions +Ġbelie ves +/ en +pos ite +{ ' +pre pare +_ const +s ample +ĠWill iams +Ġstr t +_ Get +ĠAnd rew +. active +Ġl ayers +Visual Style +az y +ĠK n +Ġac id +ĠAs ia +Ġex cess +ĉm y +Ġkey board +ens us +Ġcre w +Ġmiss ed +m aster +ĠW ild +Ġnew ly +Ġwin ner +Ġst ub +ic ode +.m ove +D omain +ĠS ar +Ġfore st +LE D +claim er +.ex it +ĠW indow +Ġres istance +ĠC HECK +(" - +ĠR yan +Ġp ipe +Ġco ast +DE F +// ! +_ off +ex it +Ġult imately +imit ive +ĠKe ep +Ġhistor ical +Ġany way +ĠJack son +ock er +ER N +ĠU INT +y ntax +ER Y +is ms +Ġc n +Ġocc urs +Ġ; ; +Text View +A E +/ img +Ġy esterday +- default +Ġt iny +Ġpro c +Ġal ive +ĠRE G +. th +ear ing +.get Logger +< link +_ login +F older +ab c +lyph icon +н о +Ġnot iced +od igo +Ġed ition +im ator +. Enabled +.parse Int +Ġy ards +ĉĉĉĉĉĉĉĉ ĉĉĉĉ +Ġver bose +л Ñı +_B Y +.log in +.* ;Ċ +ĠM id +é es +Ġg lo +Ġbuild ings +Ġz e +ĠI ter +Ġt ube +ĠP ot +\ M +< th +br idge +ĠS cript +ĠM odule +Ġv acc +Ġinstall ation +v y +VisualStyle BackColor +ĠS M +.t otal +b at +Ġfind s +Ġat mos +Sub view +iz ard +Ġrepl acement +lic ated +ap is +Ġlog ged +ĠLe ft +G ui +_ Type +t m +P ad +Ġhouse hold +Ġre le +Ġpropos al +_CL ASS +:: :: +Ġinf rastructure +In ject +/ html +Ġad s +iz za +Ġm g +ctr ine +% Ċ +< html +- image +Ġatt orney +< m +(' , +Ġcan n +Ġprint ln +o ose +Ġy ellow +.ex p +p ayment +Ġtable View +aw ay +Ġopp osition +ĠAg ain +ĠH andle +Ġex clusive +in ar +é r +оР± +ĠC ODE +emp orary +Ġre act +pi pe +c z +. activity +Ġlarg ely +Ġdis s +ax y +es is +ĠR en +Ġc orn +.Use VisualStyleBackColor +d ays +Ġfr uit +In sert +_ enc +E st +_de c +ĠL uc +Ġü ber +param eters +P ERT +ex press +_pro file +Un known +Ġrev olution +.add ress +_re quire +Ġun iform +ĠP ack +l ar +ĠU ITableView +Ġdep ends +Valid ation +conf irm +O wner +Ġt rib +h et +ĠI de +ans as +L anguage +u et +ĠP o +ĠSte ve +Ġcont est +_DE FAULT +Ġapparent ly +RE EN +Ġfrequ ently +Ġtrad ition +ocol ate +S I +ĠArg ument +F ocus +ert e +ĠL ayout +Ġd x +Ġgener ator +ĠW ait +P olicy +l ights +.Ex ecute +P y +Ġbed room +ed a +ra id +ĉs ize +Ġan cient +Ġp ump +Ġd w +Ġ(! ( +Ġspec ify +( status +ĠF BI +.ex ception +Ġrem ark +ly mp +ant ee +Up load +ern et +é ¡ +in ent +ĠR ender +d m +ĠM emory +r ich +ĠT ools +Ġk ne +Ġper m +b ad +Ġd inner +.res et +Ġj Label +Fe ature +.S ervice +Ġ( {Ċ +Ġre ferred +.class List +Ġinit With +ĠText View +Ġne ither +Ġcount y +Ġ" { +ç § +Ġt ack +class Name +ĠUS ER +Ġre new +` ` +get Name +Ġb rown +Err ors +ert o +Ġsust ain +S O +let es +ĠIn valid +Ġen emies +un ge +Ġexist ence +err a +Ċ ĠĠĊ +utor ial +# a +p ay +char ge +ĠI re +ate st +Ġexp los +Ġf ired +N ER +ĠT y +ic ion +U ri +Ġobvious ly +ĠC olum +Ġ' + +ĠDe vice +- related +_ ARG +Ġv or +ĠLess er +_O P +Serial izer +Ġup grade +L ight +Ġc odes +++ ;čĊ +Ġwrit es +fo od +Ġé t +@ section +Ġtrack s +Ġserious ly +ch t +(size of +Ġimmedi ate +Ġscient ists +Ġ{ $ +_ ne +.Anchor Styles +Ġaccom mod +ĠHar ry +Ġs ight +ĠPale st +ersist ent +Ġ Ñĥ +- input +Ġco ordinates + · +W elcome +.con f +Ġgre w +Ġb old +ĠC PU +(m y +Ġperfect ly +Ġmom ents +ĠM ovie +- data +yst al +_W IDTH +ĠS creen +æ Ŀ +Ġdis ap +Ġredu ction +.Get Component +_M ODULE +Ġgener ic +Ġd y +all er +Ġc url +ĠB ody +Ġb anks +, t +av g +Ġev il +Ġmanufact urer +Ġrece iver +Column s +Ġing redients +ĉ out +qu es +.L oad +Ġslow ly +ĠT own +ĠC ell +_n ormal +_p refix +ĠAl ert +(" { +ä r +âĢľ The +ĠM D +Ġcour ses +ath an +é Ļ +oc c +ĠS ER +es ign +Add r += [' +(" ./ +] } +.f ont +ĠInst agram +ĠB order +od a +Ġh all +Ġr um +_b it +Ġs aving +_d own +R andom +_reg ister +( Context +Ġoppos ite +R oom +Y ES +ан и +Ġenjoy ed +_r un +C lear +âĢ ĺ +ĠF ord +on ic +ost en +"] ) +_ auth +// čĊ +Ġsuff icient +LE S +Ġph en +Ġo h +_c sv +Ġrout ine +.Are Equal +ay lor +Ġb asket +_COM M +rypt ed +S im +ĠSh op +Ġstud io +at os +( W +[ string +ä t +og a +Ġsh r +Ġs ick +An other +Ġdo ors +_N E +ĠTH REE +. order +raz il +Ġmap s +_TR UE +trans late +Ġnear by +Ġn ach +LO AT +b atch +Ġl ux +ash es +ang ers +âĢ¦ âĢ¦ +_E VENT +_ UP +Ġact s +in v +_M ETHOD +cc ion +Ġret ain +ut ch +ĠÐ ± +Ġknow ing +Ġrepresent ing +N OT +p ng +Con tract +Ġtr ick +ĠE dition +uplic ate +Ġcontrol led +c fg +j avascript +Ġmil k +Wh ite +Se quence +aw a +Ġdiscuss ed +ĠB ush +ĠY ES +.f actory +t ags +Ġt act +Ġs id +$ $ +ĠE num +Ġfr ames +} ); +Ġreg ul +'] ;čĊ +Reg ion +ff f +Ġc ro +( com +=" + +St udent +Ġdis appoint +RES ULT +Count er +Ġbut ter +ĠH a +ĠD igital +Ġb id +"> {{ +ing ers +ĠC ountry +_t pl +"] )Ċ +/ k +d ating +: # +ĠD ATA +yn chron +_b ody +olly wood +Ġval or +ip ient +o ft +UB L +doc s +Ġsyn chron +Ġform ed +ru ption +Ġlist a +Request Mapping +Ġvill age +Ġkn ock +oc s +" { +_fl ags +Ġtrans actions +Ġhab it +ĠJ e +ed en +Ġa ircraft +ir k +ĠA B +Ġfair ly +. inter +.A ct +Ġinstr ument +remove Class +.com mand +Ñ ī +ĉm em +( min +Ġo t +Ġcol le += s +time out +Ġid s +ĠM atch +ij n +z ero +Ġnetwork s +.g ov +Ġint el +Ġsection s +out ine +(c md +(d ir +ĠLI ABILITY +ĠB log +Ġbr idge +ĠC V +con vert +Ġ" )Ċ +ĠB ern +_P O +e val +( set +to ol +Ġpay ments +Beh aviour +Ġcon crete +Ġel ig +Ġacc eler +Ġh ole +_ o +TE GER +Ġgraph ics +O wn +Form atter +on der +Ġpack ages +/ a +ĠK now +Or Default +Ġdut y +W ait +н а +_rec ord +[ t +M esh +Ġon going +.be ans +Ġt an +Ġinter pret +ast ers +QU AL +Ġleg s +\ Request +- file +_m utex +ĠS aint +// # +Ġpro hib +( info +: = +lin ux +Ġb lo +ot ic +ĉf inal +_ex p +ĠSt op +ap ing +(s aved +_p ush +Ġe ase +_F R +pons ive +str cmp +: ĊĊĊĊ +ä» ¶ +ol i +Ġextrem e +Ġprof essor +Im ages +.IO Exception +Ġaddress es +plement ed +Ġincor por +Ġuse Effect +_O F +ĠD a +n ombre +IR ST +Ġdisc rim +Ġcomp ens +greg ate +anc ell +ach es +ĠC riteria +$ result +D estroy +Ġsecond ary +W atch +ĠS em +ĠMc C +Ġacad emic +U pper +:: ~ +ut ral +ĠD og +ad ed +Valid ator +Ġder ived +Ġset Timeout +ĠK en +Ġtyp ical +ĠB ob +Ġb ounds +ĠSe ason +Ġc razy +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ +-r outer +itt est +ĠM ir +Ġemot ional +, v +c n +/ st +å ½ +on om +Ġdecl ared +> . +ail ing +Ġ/* <<< +Ġnorm ally +(M e +ev in +lik ely +Ġpoint ed +ĠSt ack +Ġw alls +. Vector +me an +] ]Ċ +Ġlist ening +ad v +Ġsw ap +IF T +Ø ª +. argv +ul s +< option +not ations +Ġemail s +ĠU kr +ast a +ĠTh us +ĠSt one +Ġappe al +. âĢĻ +Ġreg ulations +Pre ferences +ĠPh one +ul f +ĠD R +Ġtechn ologies +Ġpar agraph +Ġnecess arily +.e ach +< float +res a +Ġunder st +Ġf inger +press ed +-b y +if fer +w atch +ĠB a +A IM +Ġwe ights +ĠR on +') }} +[ self +-------- --Ċ +per iment +Ġto String +x ic +ĠC amera +! ĊĊĊĊ +aur ant +P refix +Ġinstit utions +: int +Ġex posure +p attern +ĠLin ux +.n umber +red ient +Argument Exception +ĠCh ief +" }, +Ġelect ronic +r ong +er d +sp Net +ra it +/ ', +ĠOh io +Cont rollers +Ġcontin uing +ĠT emplate +ĠE th +s z +/ env +En v +% . +art ers +) (( +ĠT ABLE +Ġà ® +per ature +pro gress +P res +ê ° +im plementation +Ġb ien +Ġstre ets +_M SG +New s +## # +: / +Ġcut ting +x B +ress ed +_EN ABLE +l ab +Ġca using +] ));Ċ +b ra +x FFFF +il ly +plet ion +w ill +_b ar +Ġstruct ures +ĠI mp +Û Į +Ġ< > +Ġ ---------------- +_B UFFER +.d ir +Ġpl ain +Ġpe er +g g +oint s +Ġsomew hat +Ġw et +Ġemploy ment +Ġtick ets +ir ms +Ġt uple +s is +$ sql +r ig +Ġcon version +Ġg es +Ġconfig ure +eg r +ĠC a +Ġ__ (' +ou ston +.t oken +Bl ack +Ġmag azine +A W +. IN +os ing +Ġbro ke +ĠC ru +DE LETE +Ġdestroy ed +(M ath +Ġappro val +-d om +ĠI II +table View +Ġdesign s +Ġcrush ing +Ġcons ent +dir name +om p +Ġc rypt +? ( +or ough +. o +ĉ list +ams ung +."" "Ċ +err ing +G oogle +_p air +_IN IT +rem arks +Ġg ear +F ill +l ife +} ")Ċ +Ġsuit able +Ġsurpr ised +_RE QUEST +Ġman ifest +att en +Ġfr ustr +ov ement +.c lick +Ġi i +Ġexp ansion +ig s +P arse +.Reg ular +R ob +_l ayout +ì ł +Ġtrans lation +ĠBe aut +B est +_C OLOR +< label +Ġliqu id +IT S +Ġpro d +Ġoper ate +UI Kit +Ġn atur +arg ument +_d etail +ĠCent re +Ġ" -- +Ġ}} " +lo cale +.t v +_se q +Ġup coming +Ch art +ĠDiv ision +Ġclin ical +Com pany +S epar +l as +ĠH un +: s +Ġhead ing +оР³ +Ġ" ");Ċ +[ id +b ia +Ġst retch +ic ide +Ġre produ +.pro ject +leg end +end ers +Ġrespons es +Ġon t +rit ical +Ġref uge +ĠL i +Ġ: ĊĊ +ĠTh ree +.cont roller +_IN DEX +_F OR +\Model s +j ax +ĉex it +Ġâ ĸ +Ġc overs +ĉ y +- . +IND OW +Ġfail s +in cludes +Ġf ault +Ġl y +ñ o +.s lice +ILE D +ĠP ur +ĠAs ian +_b atch +.M ax +v l +ĠCOPY RIGHT +Ġg iant +ĠMan ual +ĠC opy +Class Name +He alth +C ursor +IB Outlet +Ġt we +æ ³ +_label s +Ġcol lected +Ġfurn iture +Ġdeal ing +Control s +ĠHot el +ck s +Ġch ose +âĶ Ģ +od d +S R +Ù Ĭ +ì Ħ +Ġacc ord +ĠM ove +ĠM ode +ĠM ock +Ġthread s +++ ++ +ĠO ptions +Ref resh +ĠD id +'] -> +u cc +_ch annel +. abs +Ġ{ },Ċ +ĠW al +er ior +Ġmain ly +ĠDr iver +NotFound Exception +Ġcount s +e am +Ġ& = +Q uestion +ĠA li +Ġany more +d etail +t ail +Ġm ile +ĠF air +Ġs orry +Ġsurround ing +Ġad m +De v +Ġmari juana +ĠS ound +ĠA sh +F D +Te am +. port +Ġ[ ]ĊĊ +ub ble +Ġas c +Ġint ention +A cc +ch i +ust ers +Ġins pired +se g +CL U +Ġman ip +M etadata +Con nect +ĠB eh +Ġfind ings +Ġas sembly +w orld +Ġrem ained +Ġu id +( . +Ġm x +Lo op +ĊĊĊĊ Ċ +Ġfant astic +wh o +ak i +ĠB asic +ĠY et +ĠUs ers +ik ip +Ġhead s +ĠMich igan +_ it +ĠTor onto +Ġrec ording +Ġsub mitted +_var iable +medi ate +.graph ics +Ġst ood +Ġre ar +vel ocity +_M ESSAGE +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +ro les +ĠT our +_ year +end ment +amp s +ĠIre land +m al +Ġyoung er +Ġstrugg le +Ġc able +ĠSD L +(' - +an es +ĠNe ed +.R ow +P ol +ĠP H +_s cript +ag em +ĠB as +_s pace +. loc +: i +ad r +Ġengine ering +it en +) & +Ġu k +ĠL ittle +_C OUNT +x A +Array List +æ į +Ġ" ")Ċ +An chor +Ġh ang +t witter +Ġcompet itive +.s rc +ãģ Ĺ +Ġtrans late +ĠCre ates +ook s +ĠR oll +'' 'Ċ +/ sh +s ome +Enc oding +.res olve +Ġdesign er +ĠSt orage +Ġz a +ĠN ever +Ġsomew here +Ġbox es +.s ource +Ġpy game +Ġgrow n +.t w +() ),Ċ +', [' +Ġoppon ent +(s rc +.l ayer +AP P +ĠAct iv +Ġguest s +ĠVAL UES +};ĊĊ Ċ +.n ative +Ġamount s +. RE +Ġcl one +Ġwer en +Ġ" << +_ ac +Ġbreak ing +Ġreli able +.P OST +ĠSk y +Ġ' & +Ġsaved InstanceState +ast ing +ill ion +com ments +ult y +.m enu +/ config +Ġ ĊĊĊ +T ODO +Ġpurch ased +_c or +ĉ auto +Compat Activity +com plete +_ graph +is odes +Ġsitu ations +ĠH or +Re ceive +âĢľ We +Ġent ities +.assert Equals +оРº +ĠS ans +v ince +rom pt += Ċ +Ġ/ . +.Se lect +yl v +Ġb att +A udio +Ġincreasing ly +.B undle +Ġexpl ains +the ast +. offset +Ġh al +Ġtechn ique +_l imit +Ġdraw n +AY ER +Ġfeature d +yy yy +at in +ph en +ach el +! \ +l ower +ĠG R +Ġp ag +ĠP arse +Ġt ou +ä¸ Ģ +D istance +Index Path +Ġh ell +s im +UT TON +Us age +elen ium +ĠF all +Ġ" .$ +ĠM u +Ġcr uc +Ġs ont +REF IX +Ġinter ior +ĠO lymp +.Auto Scale +par a +Axis Alignment +Ġr iver +D to +Ġwith draw +Re act +- class +b efore +_ alloc +Cont ents +ĠW as +I CT +Ġform ula +Ġindic ates +ĠĠĠĠ ĊĊ +_st ore +it ting +ĠIt alian +_S et +_re port +Ġp id +_V ER +Ġw ins +ĠCl oud +") {Ċ +ch ester +Ġden ied +Ġw ird +ĠSte p +Ġinvest ors +b old +_d isplay +ou ver +or er +Res et +Ġsurg ery +Ġstrateg ies +/m aterial +_ unit +Ġc ouncil +.P er +ĠâĢ ŀ +Ġre form +F ramework +Ġlist ing +_b tn +Ġb is +% d +eg as +Ġsudden ly +_S ER +Ġa o +_d irectory +f as +Ġprem ium +Ġtrack ing +ĠB L +Ġm ature +Ġbath room +Ġ'/ ' +ĠÄ ij +Per formed +Ġsold iers +arn ings +Ġwalk ed +- con +b ottom +Ġsurpr ising +Ġg ene +Us uario +.DE FAULT +ĠM IT +C ODE +ĠE gypt +p icker +ys ql +AT URE +d etails +ĠCon ference +In formation +ĠM ail +-d own +r aries +b ro +Ġsubject s +Ġ' * +è¯ · +or ient +: @ +ver bose +E F +Ġto ler +eng ers +Ġend point +Ġstr ange +Ġcol on +Ġpre ferred +de p +ĠE V +ARR AY +Ġw he +Ġp up +_n odes +Ġtalk ed +Ġinstit ution +db c +Ġex posed +te en +ĠFr ont +T T +_N ONE +\/ \/ +pro gram +Ġencour age +. ` +sh ire +ĠIsl am +e en +N I +' " +.W idth +Ġlik ed +Ġ{ ... +ĠSystem s +Ġvot re +Ġmanufact uring +Con verter +ĠIn f +ì ļ +D TO +Ġin ches +Ġ ठ+à ¹ +ĠChar les +B U +")) ;ĊĊ +ĠL abor +un n +Ġest im +m obile +ĠL earn +_C ALL +â Ħ +Ġind ices +Ġt ub +ikip edia +C ost +row able +ë ¡ +g age +Ġfunction ality +uzz le +em os +.l ib +Ġd ass +еРº +enn a +Ġsh ots +Ġrest ore +/ D +For Key +], [ +al ias +l int +.st ream +æ ł +_FORM AT +Ġsil ver +.re pository +Ġlegis l +.B order +_fe atures +Per mission +Ġhous es +ĠW ars +_COM P +Ġinj uries +Ġconstant ly +fl utter +EN U +ĠCon f +Ġrecogn ized +Ġpract ical +Ġde cent +B J +] ); +ast y +ĠAct ivity +-m ode +Ġsl ide +.IsNullOr Empty +ĠY OU +P ower +ind ices +Ġqual ified +Ġthrow n +h ello +ĠN ick +l ah +as sembly +ĠSm all +old ing +Sh ould +ĠSil ver +(saved InstanceState +Ġtog gle +.N ot +C trl +: nil +ĠCont inue +ĠB oot +æ ī +ĠM ur +d on +ĠF A +S napshot +Ġassoci ation +fo x +, a +az ione +] )čĊ +CT YPE +Ġf ade +ĠD ar +.n avigation +Ġl uck +SC RI +ĠDe ad +Ġterm inal +_LE NGTH +Ġeff iciency +Ġun w +Ġn arrow +iment o +( Color +ĠSe a +_ area +, A +_ opt +ĠHill ary +.t ask +ĠJ ac +ast ed +ĠAd am +ĠIl legal +Ġsearch ing +Instance Of +J ava +ĠForm at +Ġreal ized +ĠChild ren +Ġk il +(f rame +âĢĿ .ĊĊ +Ġscen ario +"] );Ċ +Ġincred ible +li x +IO Exception +ĠQ uest +il ty +Ġun lock +â Ĥ¬ +Ġre ferences +ĠV ert +B inding +eg ative +Ġwr ap +.d atabase +( content +B uf +ĠTr ad +ĠA ud +tr ace +.m ock +Ġther apy +ĉ L +.To Int +ĠKing dom +B us +ha ust +"" "ĊĊ +( end +.draw able +[ ];Ċ +ĠH ospital +Ġph arm +---- - +ĠA G +é d +> ");Ċ +Ġw allet +at able +) $ +Ġmonth ly +Ġdi agnostic +S ymbol +Ġiter ator +un finished +Ġimm igration +s r +RO W +(g ame +Ġclo thes +ĠU nt +Ġactiv ation +_C on +.h ash +Ġinitial ly +.H ash +Ġcut s +f ound +ĠSt ory +ÑĨ и +ac ao +_T YP +pro to +est r +-p age +ah r +Ġincor rect +ĠJose ph +TextBox Column +_st yle +ĠD aniel +s heet +Ġl iv +l ined +Ġr a +R untime +_ empty +sl ug +_ struct +ë Ĭ +m u +Ġper mitted +Ġreg ional +Ġsob re +ĠS uch +Ġ[ _ +Ġro of +.Al ignment +t imes +.m sg +Ġche st +ĠT ab +Ġest a +ä n +Ġsubs cription +( command +s pecial +Ġme al +") :Ċ +_ ctx +Ġclos ely +et ry +- be +ad el +ĠR am +ig est +ĠSpan ish +Ġcommit ment +Ġw ake +* >( +P HP +_ { +ck er +< List +_n ull +ĠRes erved +Ġin her +.Column s +.A spNet +_IN VALID +ĠParam eter +Ġex pr +} { +Cell Style +Ġval uable +Ġfun ny +In v +Ġst able +* t +Ġp ill +pl iers +ĠC SS +ĠCon dition +ĠS peed +ublish er +Ġoff ensive +ce st +ic as +Ġsp ark +ĠPro te +set up +IF Y +ĠT ax +Wh o +F amily +- for +. uk +Ġf asc +sv g +") ). +Ġbirth day +âĸ Ī +ve h +el led +Ġimport s +ĠIsl amic +T A +ĠSt an +we ather +Ġsus pect +e ature +enn es +W M +.m inecraft +av id +è ½ +.se curity +in os +G ood +Ġm arch +Ġposs ess +us uario +Con s +am ber +ched uler +Ġhor se +ç ½ +(b ody +ĠTrans form +_de code +.s vg +Ġf oo +Ġd ella +ext ends +am er +Ġprocess ed +ĠH arr +ĠA I +Ġk o +CH AR +( % +Ġt ap +({ ' +c roll +D OM +Ġte a +Ġre in +Ġworld wide +_f n +sh a +Ġb ir +ç ões +="# "> +Ġrepresent ed +ill er +(ex pected +Ġd ance +Ġvisit ors +.con cat +-b it +UR RE +ĠR og +v p +ip h +ĠL LC +it led +iam i +C oll +_re al +_sh ow +_f older +Ġd ar +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġl atter +arch y +Ġb ow +Ġout come +ĠPost ed +Ġris ks +ĠThere fore +Ġowners hip +Ġpar allel +Ġp ending +ge ometry +Ġrecogn ize +ST EM +ĠC P +Ġimm igr +IT LE +ĠĠĠĠ ĉĉ +conn ected +Ġsm ile +(d ocument +\ Component +vert ical +Ġconsum ption +Ġsh oes +. impl +un ks +. ";Ċ +Ġfood s +_ );Ċ +.assert True +Ġp ipeline +Ġcollection s +Ġearn ed +ĠC ert +Ġpartners hip +( action +Ġc d +ĠV ery +Option al +Ġscre ens +Ġtit les +ener ator +Ġab andon +k ind +IL TER +Ġclos ing +lic a +_ inter +Ġcamp us +set ting +S prite +ãģ ¯ +_re ply +To List +: \/\/ +ed e +Ġfol ks +Ġbo at +( argv +Ġperman ent +Ġcarry ing +Ġconserv ative +import ant +. img +ĠIm m +Ġdim ensions +al and +s ingle +Ex it +-------- -- +ari ant +tern al +Se conds +ĠIt aly +ot lin +.Res ume +=' " +) == +cept or +Ġs ca +/m ain +Sec urity +_d at +Ġlet s +Ġa qu +Ġwhen ever +b erry +Ġact ing +ant i +p d +& gt +æ Ń +Z one +T oday +! . +To Props +ab is +it able +Ġg al +] { +iz ona +Ġin contri +N ET +/// Ċ +[ in +_s ave +Ġex em +ĠK enn +Ġev olution +var s +_st ats +- only +ĠColor ado +Ġwatch ed +b our +Ġsever e +Ġprofession als +port ion +Ġguar ante +Ð ³ +Ġpush ed +ĠG i +ï ½ +Ġt um +ĠA z +ĠEdge Insets +")) ;čĊ +is se +. ac +Set ting +Ġapprec iate +ĠValue Error +Ġsur ve +ĠR ole +. Inter +plot lib +j et +d am +Ġplatform s +te le +UT O +ĠInt ernal ++ : +} ;čĊ +Gener al +\ Entity +Ġlawy er +qu iv +ĠPost s +is o +Ġacc um +ob e +Ġmark s +Ġ] ;ĊĊ +ĉ text +.s uccess +cur r +as a +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ +Ġth in +_ over +are st +ĠO s +( address +Ġvel ocity +Ġ[] ;ĊĊ +=" ../../ +ĠPr iv +b ow +Ġguar antee +% ĊĊ +Ġeval uate +.LE NGTH +Ġin ventory +q a +_de bug +.On ClickListener +Ġl ies +Ġassess ment +dat etime +.background Color +Ġ*/ čĊčĊ +ra f +un wrap +ĠF oot +Ġnot ify +Ġlow est +DO CTYPE +Ġl anguages +ex tra +- back +Ġein en +tem plates +_p ass +ĠM ust +Ġest á +_c ore +ĠSc ot +A I +Ġb ias +ations hip +Con stant +Ġprogram ming +In s +uspend Layout +ĠPRO VID +ant es +Ġsh irt +in ated +. OK +[ a +Ġthink s +? ĊĊĊĊ +Ġregard less +ĠMag ic +ul ating +ĉ class +add Group +RE ATE +ĠS U +Ġsim pl +c opyright +Ġb unch +Ġun iverse +ĠE rr +Ġpresent ation +c ategories +Ġatt ach +.s ign +_A C +Ġdisc ipl +Ġregular ly +Ġprim arily +ink s +[ [ +.r and +.sh ould +ownt own +=" ' +Ġs ans +Ġsupport ers +se quence +G O +. .ĊĊ +ĠS pr +Ġcare fully +U IColor +dest roy +Ġtod os +ĠOR DER +ott ed +Ġd ont +aud i +_ player +g re +ĠO il +< body +_st ack +.P adding +ĠProduct s +Ġpriv ile +Ġinj ured +ĠF urther +Ġal ias +.Resume Layout +_LE N +Ġs es +'] ;ĊĊ +cre ens +Ġdirect ed +.S uspendLayout +od ge +.A t +mark s +ĠUn ivers +ert s +ĠE sc +Ġnav bar +Ġutil ity +agnost ics +Ġin ject +ĠD NA +Ġ" ," +am ar +Ġe u +Ġrestaur ants +_p ut +ut ers +Tool Strip +t w +ist ro +Ġz oom +Ġleg it +pec ific +ĠC ome +Ġlocal Storage +Ġabs or +.P anel +ĠDesign er +Ġo w +IC AL +_ uri +(f ield +Ġsup erv +Ex ists +Ġrespect ively +ĠSt and +Con f +uss ian +Ġar c +Ġ nd +uck s +Ġre str +Ġseason s +ĠCh apter +ĠSw itch +p ic +Ġh i +load ed +Ġfl uid +-b tn +Ġrun time +. it +B N +Op acity +as ant +ry ption +-n ative +Ġta ught +å ¯ +ag ment +Ġm ul +Reg istry +_ grid +ĠBro ok +: Set +Ġm ongoose +AM ES +inner HTML +Ġs oci +ĠInt el +get Id +C md +Ġaccess ible +r ames +le ton +Ġ__ ( +ĉ delete +ĠS quare +" ĊĊĊ +Ġbu cket +avor ite +ĠB reak +++ ] +Ġbr ush +Ġt ensor +/ http +T ile +Ġfunction al +Ġ" * +wh el +Ġt ent +ĠChar acter +Ġse es +. ST +B ig +Ġext ern +Url s +)) )), +ĠJ r +.B uilder +. ; +n l +_ Init +ĠH ER +ż e +mys qli +_ icon +v an +Ġfeel ings +Ġle an +Ġhop ing +T V +="čĊ +b est +all as +ent ed +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĊ +_con nection +Ġrep o +en abled +аРº +Ġsh a +Ġmembers hip +Status Code +in ating +_s m +_c ustom +_ weight +Ġc ss +St at +_ env +link s +TR L +ĠH it +, r +up id +Ġop ens +Ġg ent +_v is +Ġj oy +< w +_c ost +ĠPy Object +ren ce +ĠGeorg ia +ĠBro ad +m ma +â Ĥ +p f +Ġ" \" +Ġ( & +om o +Ġliter ally +Ī ĺ +met ric +Ġb ars +z ed +(w indow +ĠIsrael i +Ġform al +ident ifier +.d ao +ĠDe ath +% ;Ċ +Ġdecl are +ar ms +RE AM +PERT Y +Ġconsequ ences +to ols +Pe ople +ĠWh ich +> ();čĊ +.de code +_A CT +Button s +.f loat +.F irst +ë ¥ +ĠPol it +ĠX CT +T ags +ĠCG Float += str +Ġle af +- check +ĠI ss +.s ystem +log out +ach t +Ang le +s in +ch art +INT ER +ĠN UM +B asic +.P roperties +ä¸ Ń +_ change +ĠB razil +Ab stract +Ġ: +: +_ use +а л +ĠL y +IB UT +Ġout er +Ġ-- >čĊ +Ġrel ief +l ap +qu er +_p arent +he ap +LO SE +Ġcomb ine +ĠR ose +ow ers +Ġproced ures +ĠS ort +an im +var iant +eh icle +Ġsign ing +Pr imary +c urrency +Ġsex e +o en +th eta +em an +Ġimpress ive +(' _ +ĉ U +ĠText Style +_c nt +Ġs lice +(' : +Ġunderst ood +H is +Ġinform ed +Ġn ick +(T AG +h d +Ġelection s +est ure +ĠS anta +ĠCo ast +.p df +inc iple +.cl one +b orn +ut a +Ġl icensed +C r +Ġb read +ĠH ouston +Ġn od +Ġhop es +ĠCG Rect +Ġgu ilty +.g if +Ġro se +.Com mon +T ip +AN K +ĠF C +D uring +ĠSym fony +Ġdef ensive +k m +) > +arch ive +ĠU RI +ycl ing +- o +ĠWe bsite +AM P +ish ment +Ġdo ctors +D irect +AR I +ĠRed irect +ier en +_d ist +y o +ĠPro gress +Ġz um +Ġmem or +ĠE D +Ġj ur +æį ® +_T ABLE +Ġu uid +Ex pr +. head +(' % +point er +Ġest imate +ĠG reg +Ġlo ader +Ġi OS +Ġm ens +[ y +Ġref used +Ġprec ision +is ch +ĠA CTION +Cl oud +s With +( ret +_ADD R +_con f +(d f +Ġlock ed +Ġr ising +ãĥ» ãĥ» +ĠM s +Ġscen es +_EX T +_ raw +_ the +pe ople +Ġre con +ĠF un +Ġb less +ĠUp dated +ü n +ĠĠĠĠĠĠĠĠĠĠĠĠ čĊ +pe ction +Re lease +.log ger +ĠS Y +Ġcoun sel +ur d +_ true +Ġevery body +iv ot +Ġh ence +ĠN AS +Ġoppos ed +unk nown +ĠDES C +ĠCh air +fa iled +ĠIN CLUDING +Ġwrit ers +{ }Ċ +ÃŃ t +_c opy +} : +ĠB at +Ġconvert ed +ed ing +pl acement +ĠH ost +S ound +и м +Ġs ought +m id +Ġsal ary +og g +âĦ ¢ +b ul +Ġw ir +valid ator +_ST AT +.st ore +ĠB attle +ı n +Ġ-- >ĊĊ +Tr ump +d ot +ĠCON T +.f etch +Ġcontin u +w as +Ġfra ud +_t mp +mit ter +.p ictureBox +G A +Ġt ournament +. Input +[ r +ex ion +cent age +ĠKore an +und ef +ĠAv ailable +resh ape +Ġk it +ĠStr uct +ĠS UB +An swer +_l ib +.t witter +Ġo re +ĠDr agon +.Ex t +, k +Ġexplan ation +ref s +ĠDr ive +ĠTr aining +.H as +int age +b ig +olog ist +enn is +Ù ĩ +Ġch icken +ĠĠĠĠĠĠĠĠĠĠ Ċ +ç Ľ +ãģ § +Ġpe ak +Ġdrink ing +Ġen code +ĠNE W +m alloc +ĉf printf +Ġ= ================================================================ +in cluding +Ġprincip les +ĠM ah +st orage +- key +Ġkey word +% ; +Ġtr ained +.con trib +Ġk v +__ ':Ċ +ĠB oy +param eter +Ġsu ite +Ġthous and +Ġco ordinate +-g enerated +íķ ĺ +gener ated +Ġad mitted +Ġp ussy +# w +Ġsw im +un ion +N a +ĠRoy al +.ch annel +Up dated +_RO OT +Ġv ital +ra ction +ĠCrush er +Ġpre ced +Ġhor izontal +Blue print +Ġattr s +Ġsm oke +Ð Ĵ +. Equals +F B +ĠRes ources +roll ing +Ġpass es +ĠN um +rot ate +et ype +\ ", +Ġsens itive +Ġt all +? âĢĿĊĊ +Pro xy +i y +_ section +âĢĶâĢĶ âĢĶâĢĶ +br id +Ġcirc uit +at an +EN C +Ġdr iven +Ġvot ed +Ġeduc ational +Ġinter action +abet es +Ġt one +ĠInitialize Component +Ġmer ely +Ġì ŀ +co okie +_ div +ĠUIL abel +vel y +} );čĊ +_ ENT +#+ #+ +art icles +ĠSou thern +Ġstrong er +ĠG iven +ĠE ric +ĠI R +ab stract +U nder +n able +Ġincre ment +ov en +Ġco in +_t imer +Ġsuffer ed +ĠF REE +'] ." +ĠQue en +st ats +Ġmeet ings +Ġenter ing +Ġalong side +(s ession +it als +Ġfound ation +ĠC redit +. div +_ ALL +pc ion +_st at +ick ing +Default s +_s rc +Ġoutput s +/ B +Ġent hus +-b l +.Fore Color +ĉ temp +F ace +Ġinter act +Ġwe ird +M ount +re ll +ud ents +Ġrequire ment +ĠS us +I ER +Ġe lected +re ference +ĠM E +Ġserv ers +.w ait +Ġsnap shot +il ton +Ġtri es +Ġt ipo +.T ime +> w +Ġmount ain +Ġp ounds +Ġ[ ... +ex ists +Ġng On +_M AP +Ġf lying +xi ety +ĉ value +_D B +un o +Ġse ats +T URN +. author +! ) +or ce +Ġindic ated +.s in +Ġass ignment +im iento +ĠF rame +_g en +in ery +_ ) +m essages +.set tings +ĠMe an +ĠM useum +ir q +att ach +ĠPalest in +_ QU +_t ags +Ġcas ual +em en +ASS WORD +$ s +ĠC irc +оР¹ +et ric +/ P +Ġep och +< head +_C MD +Ġg it +Ġpen alty +or ph +_ users +ours es +.Date Time +atern ion +_pro ject +Ġsuper ior +ĠD am +ĠSe attle +X Y +> The +ĠA k +Ġgr ass +/* čĊ +(d is +Ġgun s +Ġt b +ĠK evin +. args +ĠA h +op ed +( J +column s +arg uments +ĠWith Events +_f ull +ĠDef ense +S imple +Ġdeath s +Ġext ensive +ĠSt ill +ĠEx pression +ĠAg ency +Ġperform ing +F X +Ġus uario +U AL +S ide +od os +apt op +Ġcred entials +_c ap +at ient +ĠDis ney +Ġa i +Ġch ip +Ġvol t +.make Text +%%%%%%%% %%%%%%%% +Ġbelie f +_LO C +ĠC ivil +N avigation +Ġreve al +Ġviol ent +ĠF il +Ġc atalog +em ed +sc an +. control +Ġconstit ution +C ountry +Separ ator +_A PP +top ic +uet ooth +M IN +Ġdes criptor +y t +ET HER +Ġdistrib ute +' }Ċ +.tr im +.L ine +Ġl bl +assert Equals +ĠD et +omb ok +( width +Ġt ort +ĠEXP RESS +ac o +Us ing +ĠBr and +w all +EM ENT +ĠComm unic +< uint +ĠG UI +EG IN +ĠR ange +/ i +ĠT aylor +c ost +Ġrespond ed +ĠTh eme +n ce +IS H +Ġfeat uring +Return s +ĠK r +Ġ .Ċ +Ġn am +_c b +Test ing +Ġ{ }, +y al +.f ield +Ġ/ = +_SH ORT +m ates +Test Case +ain less +Ġeval uation +_ ITEM +ĠPac ific +ĉ k +Ġc ant +ĠR os +) s +Ġf et +STR ING +ĠDis pose +g al +ĠJ oin +ĠP orn +ĠCath olic +AR GET +cp u +ç łģ +.sc roll +IS ING +ifest yle +anc ement +Ġm erc +ĠB rowser +eter min +Ġover flow +Av ailable +Ġbott le +: UI +ific ial +Ġco ord +clar ation +Ġcon j +G LOBAL +ok u +Ġk wargs +cond itions +ul um +Ġg enu +ĠH ero +å İ +Ġun expected +ĠDAM AGES +Ġk a +ĠC ould +UP PORT +ĠPh otos +Ġconf ident +Ġdet ected +de g +rg b +Ġstrong ly +Ġ} ;čĊ +Ġ) : +Ġle ct +urs ive +RO L +ĠWe ight +Ġent ertainment +Ġ) );Ċ +Ġg onna +Ġb b +.d o +G S +Ġmist ake +D L +ĠPROVID ED +ear ning +L imit +iss ions +[ v +ä¸ į +ir ty +D el +Ġunder lying +pre ne +Ġj aw +ĠD I +pe er +Ġobject ive +Ġde posit +Ġk on +Ġes p +.set Visibility +/ login +< typename +Ġfr anch +/ e +Par allel +Ġsc ored +ĠH on +ĠV ill +ig a +Ġant icip +_ assert +ĠO pt +Ġdescri bes +w an +m ount +Ġmonitor ing +Ġt out +ëĬ Ķ +}, { +................ ................ += int +Ġc ust +---- -- +Ġatmos phere +P AR +ort e +IS IBLE +ĠI ron +ĠNot ification +.log ging +ĠBO OL +-p oint +Ġaf raid +ent a +Ġtom orrow +@ implementation +Ġeng age +ĠAn th +ĠF loor +ĠU l +To ols +Ġb ab +Ġcare ful +ãģ Ħ +Ġcruc ial +Ġcalcul ated +ĠS A +Ġw y +D X +_T AG +ind ed +Ġj et +ĠEngine ering +.M AX +en z +v d +Ġpublic ation +Ġ## # +Ġfac ed +ra ham +ĠC apt +As set +ĠCon stants +Ġlo ans +_ IP +ĠF ish +Red uc +_m at +Date Format +_m e +[] [] +Ġintegr ity +ĠC ourse +lob als +Ġfac ilit +Ġem br +ĠN g +.S ystem +Ġmanufact urers +Ġpro ven +.on Create +Ġal arm +Ġ § +Ġcomm only +ic os +æĸ ° +ĠSt ation +} ). +ĠF ilm +w i +ç ī +Ġeng aged +St ats +Ġgovern ments +Ġafford able +_p roperty +Ġag es +(' -- +Ġf ör +ĠProf essor +Ġhy dro +P ush +Ġorgan ized +Ac cept +é m +_c ell +Ġn b +p b +Art icle +Ġrem oval +Ġauth entication +ĠF R +l ide +Ġple asure +ap ol +Ġpart ition +ĠS ide +Ġcr imes +Ġdem o +hold ers +ĠPak istan +In struction +Ġexpect ations +.sc ene +Ġ' ) +h es +ino is +_P ro +Ġm olec +and al +_sh ort +Ġdefault s +Ġn ations +in en +Ġr t +O CK +P acket +S B +ĠSH ALL +_cont ents +ise conds +vert y +á t +G uid +n om +Ġcon clusion +. Update +Ġlo vely +Ġem it +b ec +ĉĉĉĉ Ġ +Ġintel lect +Ġb rew +ec ycle +F ire +Ġad mit +Ġar bit +Ġarr ang +ĠM IN +M ail +ĠN ative +C ur +Ġcon vent +.R untime +" }Ċ +.R un +Ġprint ed +Ġconven ient +. ar +m ock +ĠAdmin istration +ãģ ¾ +Ġelect ron +fl ate +Ġl ombok +Ġjava fx +n h +Ġsup plies +Ġvisit ing +ah l +Ġpow der +Ġult imate +Ġorient ation +ut as +_s cale +Con firm +ph ones +ĠOper ation +/ T +_IN TER +Ġair port +Ġmet rics +Ġphen omen +a udio +Ġm ai +( K +h u +all ing +rodu ction +ĠTrans port +ĠNOT E +æĸ ĩ +Ġfew er +_T IM +ì § +к и +A ge +F IN +Ġì Ŀ +ĠAt tribute +group s +er k +at to +. define +.AspNet Core +ategor ia +ĠS ir +( form +< User +. round +_d ay +.A ll +Servlet Response +.N o +l arge +IG H +qu ent +Ġvir us +Ġret ro +Ġim per +Bit map +Ġv ice +Ġoff ense +ist e +ĠA UTH +Ġê ° +ToolStrip MenuItem +G u +Ġr ape +ĠDav is +Ġover whel +: flutter +- table +ĠCon structor +Pr ivate +e ven +ch r +Ġap plies +_at tribute +Ġcon tribute +E VER +L ines +ĠAf ghan +Vis itor +ĠS L +se ason +C U +Ġintrodu ction +Ġmat plotlib +Å ij +Ġnewsp aper +âĢĶ and +< tag +Ġin i +Ġd iverse +Ignore Case +ĠU r +Ag ent +Ġb ull +.em it +( Exception +ar Layout +Ġincred ibly +ĠTr ust +={ ( +- nav +Ġe quals +Ġl ady +ĠP od +d isc +al am +ĠI V +â Ļ +iv idual +ph i +add ed +Ġdifficult y +Ġcomp act +ĠAction Result +c ers +_class es +Non Null +Ġqu it +Ġp ou +S witch +ir s +- test +ĠK ind +ĠCal endar +Ġstream ing +} ', +S W +Ġst ead +oc a +Ġprov ince +Ġcol span +Ġperson nel +ĠE mployee +Ġprodu cer +Ġevery where +od b +Ð Ł +bs olute +act ivate +Ġgr inding +ĠBuild ing +ĠSand ers +(s c +ĠOff set +//////// //// +} ;čĊčĊ +({ " +Ġscan f +ĠY Y +ĉdef er +Ġj ew +Ġrestrict ions +.m p +[ l +ä¸ ĭ +label s +red icate +aw esome +Ġw aves +Ġcon front +Ġmeas ured +Ġdat as +_ex it +ot ton +Ġshould er +ask a ++ # +ĠĠĠĠĠĠĠĠĊ ĠĠĠĠĠĠĠĠĊ +Ġtro ops +ĠU nd +_c ard +w ich +Ġn ous +Ġ"/ " +s b +Ġcommunic ations +Ex port +Ġdec ode +th s +inter pret +By Name +ĠSp irit +ed ges +O LE +ĠE M +t it +ĠTh rough +Ġb io +ĠP ackage +or ne +Ġ} . +` ;Ċ +Ġok ay +ĠZe aland +ident ity +(n ext +ĠB ang +Lib rary +Ġheav ily +il on +Ġdi pl +Ġrot ate +put s +) ',Ċ +ĠData Table +Ġmay or +.to LowerCase +Ġsome how +ĠNor thern +al c +Ġcap abilities +Ġv ibr ++ Ċ +ĠS u +ĠRes et +_m ean +Ġc ig +.cl oud +ĠB and +ĠF actory +ĠAr izona +_ io +op her +Ġconsc ious +Ġà ¶ +\ Controllers +_s peed +ĠF ac +_C om +ĠB ible +w en +ED IT +Ġun n +ĠSt aff +ĠIn n +Ġmechan ism +ĠM embers +Ġmigration Builder +'] .' +.get Int +< void +ĉf ree +oid s +\ Support +Ġautom atic +Ġch ances +Ð ¶ +Ġcomp licated +[ row +ah oo +Ġ}ĊĊ ĊĊ +Model s +W in +Ġt ape +ir us +iz on +on omy +(" _ +: . +.st ereotype +( env +_re ct +(w ith +Ġassert That +Ġcon straints +put y +E mployee +T D +Ġgu itar +ĠJew s +.pro cess +Ġf iction +ĠSh ared +âĶĢ âĶĢ +Ġprop ag +.N et +Ġachie ved +ĉ Q +Ġn urs +Sh ared +_FAIL URE +Ġbeh aviour +Ġcol s +ism o +Ġfem in +Ġchalleng ing +Ġpost ing +enc il +Ġcapt ured +ĠD ou +( word +ĠTur key +pan ies +Ġre putation +ORM AL +Ġelig ible +prot ocol +id as +(f rom +Ġfin ance +- per +Ġg otten +H A +d uration +ĠP arent +Ġin vent +Ġre start +ол ÑĮ +r ition +(r s +< bool +i ert +Ġmod ification +ĠT X +readcr umb +b ank +$ / +ĠMill er +] ),Ċ +.Check ed +Ġsac r +se curity +Ġp ose +ĠBr ad +Ġfit ness +Ġannounc ement +ation Token +Ġserv es +ne ed +Ġge ometry +AR S +æ Ģ +andid ate +Ġs prite +_s plit +We ek +ad ies +> (Ċ +?> " +Ġ/// Ċ +Ġein er +Ġweek ly +ĉlog ger +_p op +_m an +Ġmigr ations +Ġask s +Ġb s +Ġfall s +.W here +- height +_fe ature +.M in +Ġhy per +Ġvol atile +Ġtw enty +Typ ography +Un able +D et +, f +-m od +Ġsett lement +Ġcontract s +n ome +B ad +ĠB rian +(user name +!! !! +Ġh ack +.F ield +H R +ĠJ ordan +iz a +Ġ ł +ĠSh er +. header +( other +ĠD ub +( op +ĠR ound +Ġv ie +Ġap pl +ĉ J +ĠIn sert +ĠL P +reg on +ĠM PI +Ġan chor +ac a +ø r +Ġa de +anch or +que e +ĠTree Node +Ġtarget ed +Ġla id +AB EL +v et +ĠOr igin +A nt +. ');Ċ +ex pect +ed Reader +ĠM ajor +Ġin ch +Com par +Ġpre view +Ġill ness +ĠCONTR ACT +ĠInd epend +u uid +Ġn ome +Ġt c +ĠA venue +is an +Ġph rase +_m ove +") [ +Ġprov ision +Ġconcent r +_ IR +ĠU t +() + +Ġn as +! , +ĠRob in +i ations +at itude +Ġp x +ĠWith out +/b ash +ek t +re ement +Ob server +ĠReg ion +UBL IC +Ġ{ // +K N +å · +Game Object +å ¾ +enc oding +Ġ** * +project s +Ġt k +Ġche ese +EM PL +ar o +Ġا ÙĦ +Ġcons ists +ref resh +ure au +ĠSc anner +Ġso il +Ġfl avor +Data Source +Ex ecute +ени е +Ġsh it +åĪ Ĩ +< any +Ġretrie ve +Ġbelong s +.st rip +abs olute +Ġexp anded +bo y +): - +Ġresc ue +.J Label +Ġre ly +Ġal ignment +-f amily +Ġre nd +OLUM N +Ġb orrow +Ġqu otes +ĠL ew +Ġsh ower +ĠDE LETE +_lo op +! "ĊĊ +ĉ re +Ġattempt ed +aver age +ĠP aint +quis ition +ol en +Ġliter ature +ĠRe ference +_TEXT URE +ĠS eg +ĠInd ust +ct ype +D UCT +_H OST +ĠTr ade +Ġpl ugins +Ġbre ast +ul se +Ġcreat ure +ãģ Ļ +ĠW i +Ġsup plied +c oll +! (" +Ġfuck ing +ĠCh rome +ĠU ri +ĠN ation +Ġvert ices +T HE +ĠOr iginal +on de +Ġsh arp +Ġcook ing +Ġ{ /* +ĠPs ych +ĠH ollywood +=$ _ +.D ock +Ġg er +Ġb one +_con n +_se c +ys ics +Ġ= " +S al +s f +Ġdeep ly +ang les +T erm +b ell +ĠQu ick +ener ation +adio Button +åħ ¥ +}čĊčĊ čĊ +Ġcapt ion +l c +ĠE L +, [ +ĠĠĠĠĠĠ čĊ +ret t +(m ethod +ĠFl ash +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +W ISE +.s cale +Ġrough ly +_ child +m emory +ay ing +Ġinitial ized +in ator +а ÑĢ +Ġsc alar +ĠH o +ai res +(c olumn +.de stroy +P ACK +Ġh em +ang el +_S UB +. qu +Ġ × +DE FAULT +pos itories +ĠL ength +ĠF ast +Ġsign als +Ġ// $ +ri ers +Ġd ummy +AN Y +Ġperson ality +Ġa gricult +Pl atform +ER O +ĠT ra +Ġen orm +ĉ W +Action Result +Ġa ver +[ str +Ġ' -- +.S printf +Ġdeb ut +Ġ Ñĩ +h ex +_ utils +Ġp b +U ITableView +Ġz ur +. encode +Ġv ag +.error s +о н +Ġm r +ĠA ward +Ġc pu +Ġpress ed +' est +ĠF estival +' T +Ġa k +res olve +.m e +Ġn ic +Ġgen re +Ġat trib +ĠMo on +Ġarr ive +ĠD ating +Ġt m +.Config uration +. red +Ġgl m +Ġst ations +sw itch +Ġt ied +äº º +Ġ/ >Ċ +Ġsubsequ ent +pos able +-fl uid +Ġth orough +Ġpublic ly +apt ers +ĠWil son +_P RE +y ard +ä ¼ +ĉ in +Ġre vers +Ġbul let +cri bed +nes ota +Ġ($ _ +ann on +c ursor +Ġclo thing +ĠM ulti +: ', +Ġv ess +ordin ator +Ġein em +C annot +Ġar med +ĉ V +ä¸ Ĭ +.F lat +ĠS ep +ĠSub ject +_f ont +Ġcharacter istics +D one +el n +######## #### +PO S +Ġd ensity +ĠPl atform +- items +Ġo vers +Ġpush ing +ç ¤ +.Con nection +_ term +Ġinitial ization +________________ ________________ +ç ¬ +.d ocument +les h +ĉd ocument +ĠP in +ç a +Ġdefinition s +.P ath +_W RITE +Ġ ĉĊ +? >ĊĊ +Ġter rible +be an +ick ets +ĠS V +B uy +(t ask +Ġreg ime +g oogle +Ġcr ack +.vis it +N UM +ener gy +Ġstr uck +_s ample +.p ayload +Ġre vis +ĠSc ene +Ġp g +Ġbreak fast +URRE NT +.char At +_ex ception +ĠAnt on +Ġguid elines +Ġex haust +ĠFin ancial +Ġind ent +Ġdes ktop +H idden +F ailure +Ġpr inciple +Ġ iv +Ġse ks +n etwork +Ġnumber Of +ĠAl bert +ĉ long +, . +Ġz eros +f ade +ĠT yp +ĠT erm +ĠAr ts +.App lication +Ġbeh alf +æĪ · +Ġm ere +(` ${ +Ġaware ness +elp ers +f lix +Ġwe igh +Ġestim ates +. child +/ O +ĠBit map +.b ottom +Ġ************************************************************************ ** +Ex pect +ent o +ĠFor um +ver al +Ġj ail +Ġab ilities +ĠH OLD +ĠC it +Ġd ynam +Ġgr ay +ĉĉĉĉĉĉĉĉ ĉĉĉĉĉ +.next Int +ant ly +ĠAR ISING +( private +Ġreject ed +ĠN ic +Ġle ather += {Ċ +aly tics +th etic +.T op +.P age +={ ` +Ġ ;čĊ +de pth +m ann +W D +ĠS om +.R ight +Ġ) }Ċ +Ġtr ait +Ã Ĺ +i ac +Ġr v +S ample +.X ml +opp ed +ĠÑ Ħ +list s +Ġt ear +ivers ary +.c ollection +ĠCon stitution +ĠHttp Response +Ġbr ill +ĠP rom +h over +ĠM iami +Ġarg ue +_f loat +Ġ ãĤ +Ġn at +ĠT al +Ġinteg ration +(c ur +Ġrem oving +Ġco eff +ĠTh ough +Ġfore cast +ĠV egas +S ite +Ġtr ab +ĠHen ry +- i +Ġinvol ves +B T +Ġs lo +In voke +Ġl ucky +r at +Ġ? Ċ +Ġhand led +(f d +cont ents +ĠO FF +R F +Ġst y +ĠM otor +ter y +t ax +M AP +ĠMr s +Ġph ones +ĠUI View +")) );Ċ +( dev +ĠIr ish +Ġw s +D I +_OFF SET +ĠEvent s +Ġst ages +Ġ} // +Ġhab en +ST ANCE +ĠS in +ĠM oney +(t op +Ġappoint ment +VER SION +met adata +_com ment +Ġcolle agues +map s +â ĺ +Ċ ĉĊ +( al +_re q +Ġf ut +Ġarchitect ure +ĠWH ETHER +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +_s creen +Ġstyle Urls +Ġmon ster +. up +ph ia +Ġprocess or +ĠT err += ', +ĠMan ufact +ĠN T +k el +ib ern +ĉf ile +A li +rient ation +Ġ// ! +ap ore +ane ous +ĠC reat +f older +Ġh ay +Sup press +( left +Ġe uro +Ġdis claimer +ustr y +sh ips +_f d +ĠF a +_in sert +Ġro l +if ting +ĠCom ments +_b r +Ġloss es +ĠAdd ed +ch arg +Ġп о +_s ystem +ĠS ometimes +ĠSp ain +(g roup +ial is +Ġdoll ar +ĠAr gs +qu ires +ĠT en +.s css +Ġsurv ive +us age +Ġj un +im iter +ï¼ģ ĊĊ +Ġfif th +t oggle +Ġdecl ine +($ " +(L ong +ing e +Ġpil ot +-l ight +-r adius +Ġpod cast +Ġnatur ally +P ages +ä¸ º +ĠDes pite +Ġlight ing +Ġcr ate +ĠB inary +Ġredu cing +Ġe leg +ĠM ouse +ĠTest Bed +Ġbefore Each +_ ARRAY +Red irect +Ġf lood +Ġsh ips +Ġelectric ity +)* ( +ê ¸ +ĠV iet +her o +Ġd ia +ĠK ent +he art +Ġthreat s +_ acc +Ġs ymbols +is chen +_in st +C riterion +ĠT IM +. Height +Ġ âĢĻ +();ĊĊ Ċ +Product s +_S P +ĠC y +Ġdepend ent +est e +Ġdat os +d it +аР² +IGN AL +Ġless on +"> ' +ĠC over +ĠH ope +ĠT imer +Ġd ad +vid ers +ĠPh ot +/ ? +rop y +om ing +as ion +Ġ\ ( +ĠE T +ĠRe ading +Ġep isodes +l m +ech a +Ġne uro +Ġhar mon +Ġlib eral +- ind +D ATA +Ġevery day +Ġdiv ided +ĠActive Record +fig ure +U A +ä ¹ +riend ly +te ch +.game Object +иÑĤ ÑĮ +Ġmo on +ft ime +Ġno ch +ĠT ORT +ĠV M +.in itial +( child +Ġmus ical +Ġo c +b as +ĠH ay +_l ong +Ġmem set +ile y +adel phia +S V +ro at +_t x +Ġl on +ĠngOn Init +b p +ĠGold en +AC HE +Ġwor ried +az i +E ar +T ake +(f p +bur gh +_ Data +g res +ĠO nt +p us +Ġtrans parent +Ġp ocket +Ġr am +igr ations +. čĊčĊ +Ġ[ ( +Ġadopt ed +Ġreported ly +ĠD ream +Ġ} ));Ċ +los ing +Ġte eth +ĠBook s +", & +enn y +LE MENT +Ġg el +ĠPl ant +! âĢĿ +.h ost +ĠRep ly +re ngth +Ġrecogn ition +Ġ}} >Ċ +L A +Ġmir ror +Ġassist ant +( device +Ġspirit ual +b uilder + § +Ġou tr +Ġt t +ĠP ER +Ġrad ical +Method s +Ġp ace +ud y +Ġg ut +ĠG reek +Ġnon atomic +ĠP aper +_G PIO +Ġob st +.A d +viron ments +ĠS ov +( con +ĠTrans action +. assign +ĉc atch +el ter +Ġbit coin +_G R +ĠčĊ +met ic +Ġtrans formation +åı · +Ġr gb +istrib utions +Ġimp licit +/ in +dest ination +аÑĤ ÑĮ +Z ero +Ġun set +. where +.g o +Ġform ation +Ġdeclar ation +() čĊčĊ +ĠEx pl +ĉĉĉ ĠĠ +/ pro +.J SON +Ġdes k +.sub str +//---------------------------------------------------------------- ------------ +ly n +p son +dis able +ĠF unc +ĉ Assert +ĠM ARK +Ġdefe at +Ġbl ind +Ġconst ants +. headers +UIL D +Ġexp enses +P ixel +Ġh r +Ġf el +ĠEast ern +_d el +ĠC ub +Ġs q +ĉc ount +ĠD irectory +Ġex clus +Ġhistor ic +Ġ ------------------------------------------------ +Ġcom position +Ġdata GridView +ĠB urn +ĠB C +M aster +Ġsp awn +Ġbe aring +.Set Active +il o +Ġg allery +Ġfound ed +Ġav ailability +.s qrt +Ġp es +ĠD OM +m ate +O ct +Ġmatch ed +it ivity +Ġan xiety +.pr ice +ĠIn stant +ì Ĭ +Ġt ut +IC ollection +.sh ared +_s ql +t bl +lib rary +_de stroy +erm al +ĠNot es +ĠE in +Ġsou thern +ĠOTHER WISE +Ġmac ro +.l ower +cl s +Content View +.l ink +const ant +ĠB es +Ġsome body +n b +"> { +( local +.. ... +ĠN ull +m x +Ġà § +Ġp ause +-------- --- +_M O +ĠC M +Ġfor Key +ĠD VD +Ġclose st +_DE VICE +ĠSte phen +ĠB BC +ĠTr avel +P aint +ĠResult s +ĠR ule +Ġt p +Ġrat ings +c in +c sv +> / +ĠG OP +l ad +Ġ ÑĢ +Ġindex Path +m atrix += f +ars ed +Ġ} ); +ĠC os +ĠS core +Ġt ak +ĠE SP +ĠIN C +_N ULL +-f lex +"] [ +int o +el and +Author ization +_F ALSE +Ġg ate +Ġv id +ist ent +T IME +Ġre write +Ġt ie +Ġarch ive +.event s +.get Parameter +ĠPer mission +Ġprogram me +Ġ é +j ud +Ġcam eras +(s ys +ĠSy rian +Ġimpro vements +Ġh ip +Ġsu icide +Ġsch olar +Ġcompat ible +rem ote +.d own +F UNCTION +Ġman aging +ĠUI Kit +. raw +>> >> +Ġdem ands +ell ite +Ġd ent +ĠM icro +åı ĸ +'] [$ +ĠI E +im ension +Ġt rem +Ġg ained +.w ith +. ok +h ou +Ġb om +amp aign +Ġjoin ing +f ish +Ġadd Subview +Ġnor thern +.c or +ore t +D ie +in ish +_com p +Ġatt ended +Ġcoll apse +ĠS S +ac ent +_E QUAL +ĠDe ep +R GB +ĉ test +ol ves +us et +Un ityEngine +w riter +Res olver +, % +if ference +_re move +ond a +Ġfem me +de code +Br anch +Ġfl ush +Ġinnov ative +Test s +Ġ[' ./ +Ġcover ing +. admin +ultip art +(l ambda + namespace +ĠS port +Ġ! ( +ac les +Ġde pression +ĠK ong +Ġp ert +ĠCon n +ĠOther wise +/ home +s upported +Ġp ink +Ġinv ited +ñ os +_en abled +Ġ- Ċ +F W +en ers +ĠM Y +Ġsuggest ions +Can vas +Ġf er +ĠMarket ing +@ Test +unt u +ĠV en +ĠC ou +iv als +Don ald +lim ited +ĉĉĉĉĉĉ Ċ +Ġanal yst +( entry +Ġrepresent ative +_at tributes +Ġf ur +.h ide +res p +ado res +rid es +ĠJ osh +ro bot +ĠN AT +Ġs esso +Ġintegr ated +: true +part s +Ġst upid +: event +@end section +Ġp u +.T able +ĠY ii +` ;ĊĊ +Ġcl ang +=" "> +eng an +_param eters +.int ernal +ĠMod ern +Ġmet ric +Ġsem i +={ {Ċ +.am azon +ĠB B +aint y +view port +Ġstart Activity +dis patch +**** * +Ġfl av +iffer ent +[ this +Ġst ake +Ġarg ued +vious ly +.w ork +ĠO ak +O ld +( async +not es +Ġfl ip +Ġdis ag +ĠT E +ĉ error +< ' +Ġ» ĊĊ +Ġfilter ed +ĠM ach +Ġh ung +_d ump +_s amples +-dis miss +Ġr ay +Im plemented +D K +Ġj ed +Ġbreak s +Ġf its +. gr +ĠZ ero +or o +Ġequ ally +Ġ' [ +Ġconcern ing +< meta +play ers +_P OS +_s im +J an +Ġyour s +ĉ N +Ġsp ir +Ġch ampion +ĠAn alysis +ap a +ĠNS Log +_l ines +ñ a +ĉĉ ĠĠĠĠĠĠĠ +.S c +Re p +etro it +ur able +M IT +com pat +own ed +_ind ices +], čĊ +Ġdis covery +ĠDie go +ob i +. Index +Ġtrend s +PL AY +.n o +Ġl ens +_c fg +Ġan no +ag an +Ġperiod s +ter ms +y z +Ġattack ed +ib ration +PEC IAL +_ grad +Ġaccord ance +.Read Line +.de vice +ri x +. container +m ay +erc ise +ĠL u +Ġr g +ĠÑģ ÑĤ +ĉĉĊ ĉĉĊ +( un +TERN AL +Ġless ons +Ġalleg ations +Ġtrans mission +.Re f +M obile +ĠT ournament +ĠN ut +ĠG a +ĠCap ital +def inition +- exp +c lean +Ġfant asy +Ġenh ance +ent ence +'] :Ċ +ack ets +Ġcelebr ate +@ ", +Serialize Field +Ġarray s +t b +ĉ st +[ assembly +( reg +.c ategory +Ġimpro ving +Ġsal ope +Byte Array +Or iginal +Ġ[ {Ċ +åĽ ŀ +ĠCl in +oen ix +ĠS amsung +Ġmaint ained +Ġag enda +f ail +Ġpres ents +Ġtim ing +.m ark +' >< +Ġprom ot +Ġin cl +_ only +ë¥ ¼ +ĠAtt orney +- date +Ġlands cape +Ġf u +S Y +.p rop +ĠA rr +p ag +Parallel Group +': čĊ +Ġlog s +a unch +unc i +n ama +Table Cell +iss ues +. { +ec urity +_ex ec +old s +Ġhost s +Ġpro to +_ import +_s ort +ĠB ow +ĠN ormal +ĠF arm +.create ParallelGroup +R otation +. err +Ġp leased +it age +.W h +ĉĉ ĠĠĠĠ +M R +ĠM ORE +ĠN atural +_ transform +B ASE +ener al +ut down +.common s +W T +Ġa an +. Result +d og +Ġclick ing +), ĊĊ +# line +Oper ator +Ġc iv +Ġm erg +ob uf +ng then +Ġ[ { +Ġcan cell +tr igger +. : +W ORK +decl are +Ġdecre ase +ÅĽ ci +lo om +.N one +ĠM I +ĠJ ason +Ġhealth care +iam ond +s ylvania +* x +ĠR a +[ b +Ġprint ing +ph abet +ĠLab our +op per +Ġz ijn +-t arget +_F UNCTION +Ġo ct +ени Ñı +åľ ¨ +Ġwest ern +Ġcomput ers +ĠR ET +Hash Map +[ String +get Value +_D ATE +.N ext +ĠF if +é l +ick ed +æ İ +-M M +Ġ{ ĊĊĊ +Ġcontact s +Ġdig its +Pro du +Ġunus ual +Ġrapid ly +t ures +Ġang ry +c ancel +xx xx +_p arser +id ity +_P REFIX +Ġme hr +Ġrare ly +et he +op es +Ġ% . +work s +Ġthe ta +Ġcontrib ution +ĠT ony +Ġsqu ad +аР¹ +Ġî n +th ere +out ed +ĉ q +Ļ Ĥ +g ood +L I +é¡ µ +ĠL iving +iz abeth +Ġk t +ĠD allas +] ],Ċ +Ġ/ >ĊĊ +Ġrais ing +/r outer +_g ame +ĠC UR +z ens +. es +Ġfont Weight +(f unc +not ification +Ġ'../../ ../ +Ġbl ame +ãĢĤ ĊĊĊĊ +an co +Id entity +f ollow +Ġart s +x s +Ġofficial ly +ĠSt udio +Ġrecommend ations +Ġloc ale +Ġam ateur +ĠEn able +Ġcap s +. End +- add +_g shared +ĠC T +For ce +Ċ ĠĠĠĠĠĠĠĠĠĠĠĠĊ +Ġor ange +Ġl p +Ġanswer ed +.G rid +Ġd ual +Ġstrateg ic +Ġnob ody +Ġf atal +_ est +( el +Ġì ł +ĠB udd +A IT +_f actor +- one +ĠH AVE +" čĊčĊ +Pro f +Ġä r +str ings +Ġdir ty +ĠF ace +ĠB egin +ĠB us +Ġw is +åŃ Ĺ +Ġspe aker +Ġcar rier +ĠO m +Ġhad n +All ow +:: __ +Ġver b +ĠCom plete +ĠE asy +Ġb ills +ĠĠ ĊĊ +Vert ical +Ġpr on +ĠDef ine +Ġlook up +variable s +Ġpand as +um es +Ġinn oc +Ġset Up +ĠCh ampionship +art ist +ĠC Type +F oundation +๠Ī +ĠSet up +Ġrec ipes +ĠU IColor +ĠF ight +Ġauthor ized +_c lick +_s uccess +ang an +ĠMount ain +ĠDo ctor +Ġeg g +ĠMedic ine +c les +` .Ċ +[ int +d ashboard +ĠApp ro +-d r +Ġprodu ces +Ġrent al +Ġre load +Ġarr ival +sp ot +Ġund ert +Ġequ ipped +Ġpro ved +Ġcent ers +Ġdef ines +al so +Ġop acity +ĠUn fortunately +ĠIll inois +Ġн е +ĠTem ple +ĠTr ail +ĠK elly +Ġmeasure ment +Ġsepar ated +-c ircle +H ey +ĠRE AD +ig its +Ġ ib +ĠM OD +atter y +аР· +Ġv end +ен ÑĤ +ĠHttp Client +s afe +_A SS +ic it +ĠCon struct +ĠC lo +ĠS ix +_T OKEN +(b lock +Ġwarn ed +/* ! +! Ċ +Ġinnov ation +_ " +Ġ );čĊčĊ +Ġsp ots +Ġcho osing +.c s +Ġflex ible +U Int +Ġscr atch +- al +Ġf estival +Ġout standing +================================ ================ +M ean +ĠO regon +s ymbol +. account +d ney +'' ' +! ", +Ġpart icle +à ĥ +[ MAX +IV ER +ER ENCE +NS Mutable +ĠColum bia +_ ĊĊ +.f r +Ġc ogn +V R +ĠMethod s +ĠM ade +ĠB R +ĠEl se +Ġeg gs +Ġsw ing +ĠIn v +Ġdise ases +Ġf irms +Ġle mma +}` );Ċ +l ings +Ġg ym +umin um +.T rim +M em +Ġcritic ism +ibern ate +_T X +ion i +Ġguid ance +Ġrepeated ly +Ġsup plier +Ġpaint ing +.F ragment +ed Exception +Ġw iring +Ġcour ts +W EB +æľ ī +\ . +ill ance +Ġb rows +ĠP attern +PL ICATION +ĠSum mer +Ch ain +Ġc ute +mer cial +Ġd il +ĠFrank lin +ĉg lobal +IN CLUDING +h istory +Ġl st +Q t +SD L +al ia +i ere +( ... +ĉc in +iff s +vel ope +ĠR oot +cl uster +User Name +ign e +< S +Ġf est +Ġindic ating +ke eper +Ġc ada +é g +cons in +ĠG B +Ġl b +em ony +-icon s +_d oc +Act or +e lem +.De lete +Ġin fection +ĠPriv acy +Ġgreat ly +ĠP os +ĠT reat +Fl ow +Ġattract ive +ĠMar c +s udo +tes y +- an +ab ama +ĠW ould +Ġsu ck +index Path +ĠE t +T imes +Ġclub s +_ass oc +Ġac quired +(" : +Ġint ense +.m aps +Ex pected +T oggle +Ġa y +Ġl ifestyle +-c alled +ĠS now +V olume +Ġcann abis +ĠD irection +ĠLim ited +-s pecific +Ġd owntown +/ icons +Ġre ven +L eg += null +Key board +') ). +Ġ"" ;čĊ +Ġatt itude +.n avigate +- error +AM PLE +ĠJ ay +v r +c ow +.com pile +Ġmem ories +_m ark +ĠMin nesota +Ġk osten +Ġprob ability +w arning +Ġgen etic +F ixture +ĠHash Set +N ombre +_m onth +Æ ° +- start +xy gen +ĉ ft +i agnostics +ĠMat thew +Ġconcept s +Ġcon str +. State +и н +N ov +Î ± +ĠP anel +ä¸ ª +com pare +> ()Ċ +Ġapply ing +Ġprom ised +Ġo x +nc ia +ĠValid ation +ort s +_c ur +e lect +ey e +( Data +Ġreport er +ĠB uff +Ġs r +Ġ" ; +ick y +Ġtemp or +S N +Ġres ident +pi res +ys ical +Ġend orse +ĠS ong +is Empty +le et +_ util +Ġdist ingu +ĠT alk +ĠM ot +( default +.A rg +gorith ms +_ words +im mer +_res et +f amily +W W +Ġsav ings +ĠâĢ Ŀ +_en able +side bar +Run ning +Ġal i +Ġtest im +Ġwarn ings +ĠCh em +ĠEx it +Ġfound er +pect or +Ġr m +_d ataset +ĠD as +Ġh an +Get ty +á l +Ġn y +Ġpo verty +Ġresult ed +.b y +ĠVis it +Ġobt aining +/ '.$ +ĠĠĠĠĠĠĠĠĠĠĠ Ċ +sh all +_LE FT +UI Image +_ Name +h ave +ĠN ob +l r +- footer +Ġn aked +ĠG arden +\F acades +Ġgrad uate +Ġfranch ise +pl ane +Ġcontrib utions +Ġstring With +Ġc rypto +Ġmov ements +ath ers +Ġlif etime +Ġcommunic ate +j ar +ĠFr agment +_ IF +ĠN avy +ĠF igure +Ġsim ulation +_st op +Ġreport ers +Ġvers us +aj a +ĠÎ ± +Ġgovern or +List Item +Ġse aled +.Back ground +ed i +ash ing +Ġl ip +ĠI h +mer ge +Ġn ec +el ocity +ATE G +Ġse eds +Ġflo ating +_F A +w alk +ĉ user +_de pth +Ġw age +@ app +N il +( [" +( vector +Ġsecret ary +Ġj Panel +ve z +³³ ³³ +d irection +ĠE P +Ġh unt +Json Property +ĠP ORT +] ", +аР¿ +ĠFore ign +pan ic +Ġtri als +ĠA le +Ġr ural +- value +author ized +ĠScot land +.d rop +ĠM T +ç ± +row th +File Path +Ġrec all +if le +Ġc el +ĠSE LECT +k n +_c ase +Ġc rop +s ure +p ot +IC S +Ġst em +Ġindust ries +P ut +Ġa ber +road cast +Icon s +) ")Ċ +æĪIJ åĬŁ +g ui +Ġassum ed +Ġr x +E A +è § +EL L +Ġdo se +Ġin e +Ġde eper +l ider +Ġord inary +Ġg olf +_IM AGE +ĠN AME +(m odule +Ġat om +Ġbel t +Ġoff ices +b eta +Ġphilosoph y +( JSON +-f ield +Ġintrodu ce +Ġconven ience +opt im +> "Ċ +ath y +Ġemploy er +qu ate +Ġed ited +Arg uments +ĠN ations +__ ) +Ġno se +ĠS ample +' )ĊĊĊ +Ġc ake +.get Attribute +H D +Mod ified +Ġpredict ed +Å Ħ +an ie +S orry +(d oc +w ind +ie ve +Ġprov isions +AT ER +OT E +M Y +.A utowired +ĠB ath +. Boolean +Ġback end +.M ouse +ater al +p aper +Con st +ĠV R +_ entity +_C TRL +ĠProte ction +ĠG M +ĠStud y +Ġsou p +ot ime +' use +] " +/ users +a ug +ĠH ong +_n orm +ãģ ¨ +Ġse cre +(B uild +ĠCon tract +ol as +Ġsa uce +Ġaggress ive +Ġrac ial +char acter +@ @ +Ġcomp ile +ĠV oid +_re m +_m emory +k k +Ġm ic +S ame +U tility +ĠH tml +ĠX ml +Read y +Ġg all +Ġalleged ly +ĉĉĉĉ ĠĠĠ +ĠMet al +ĠPerson al +Ġborder Radius +rx js +object s +Ġwant ing +Ġb owl +v endor +offset of +ĠR s +ĠR ating +Ġr ally +_N ODE +ĠM ix +Ġadvert is +Ġnarr ative +s al +Ġm c +SE rror +Ġf ingers +Ġaccom pany +Ġt ired +Ġstr ide +Ġgu i +el ist +Loc ale +Ġrele ases +ik ing +Ġan ger +)) )ĊĊ +alle st +Sum mary +( O +(f or +Ġbasket ball +Ġroad s +ĠInst all +ĠF ab +it map +Ġ) )Ċ +Ġinter section +ighb or +ĠB ry +ĠHER E +So ftware +elf are +ac s +Ġtrail er +.get Class +ch ars +Ġreg ulation +Ġref ers +Ġde struction +Ġcontin uous +ĠAust in +é ¢ +ak an +.w indow +ĠTem plates +Ġabs ence +: n +Ġdis order +fl ash +Ġde let +bo ards +ĠĠ ĉ +RO P +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġac qu +Ġlaws uit +ĠRe views +Ġgar age +t imer +Ġe j +ĠRect angle +Ġflow ers +il st +ĠIn stance +S uper +d et +dis posing +ĠE S +ĠI C +ver e +S k +_ch annels +put ed +/ null +nn en +ĠG allery +_g lobal +Auth entication +ĠR ank +Ġblock ed +Ġcal m +mark et +ĉ val +Ġa ug +per iod +ĠCon stant +Ġ?> ">Ċ +Ġl obby +p al +Ġs ink +ia h +Ð ¡ +urn ame +Ġcon ver +Ġinvestig ate +Ch rist +H ub +ĠIN D +ĠP ed +ur as +ĉ url +ĠT ro +Ġpre ferences +Ġguarante ed +` ĊĊ +Ġport ions +Ġeval u +' > ;ĊĊ +.AutoScale Mode +Ġc ats +Ġreg istry +ul us +F I +p ayload +- search +Ġstay ing +ac ious +Dec oration +Re view +In f +Ke ep +it is +, String +Co ord +Ġper o +S ex +ĠAtl anta +uest a +Arg b +> * +} _ +F ooter +Ġemploy ed +_b ound +v ide +.f unc +$ scope +Ġsp o +ĠAn al +ounc ed +ar ound +Ġrestr iction +Ġsh ops +å Ģ +ĠLat in +-c ol +Ġbare ly +ĠE uro +E r +Ġfa ire +_d istance +_un lock +Qu ote +IV ATE +Ġå Ī +Ġaim ed +ĠRet rie +. iter +Ġwr apped +Ġagre ements +str ument +( product +Ġstud ied +.set Value +Ġy e +ĠC ache +MB OL +Ġquarter back +Ġsy ntax +.getElements By +.v ersion +we bsite +Run ner +_s ingle +at iv +ĠAl tern +ĠBeaut iful +right arrow +Ġd iversity +pl ash +( co +.F ill +Ġtyp ing +Ġcl ar +H it +O O +ac co +w orth +Ġscript s +ĠMuslim s +ĠL L +erv ing +( boolean +Ġbase ball +ĠC AN +MA IL +de pend +Ġrespect ive +Ġconst expr +.* ;ĊĊ +'] ))Ċ +Ġy ard +Ġident ical +if ecycle +US H +up iter +. validate +cl i +IST ER +Ind icator +F ail +Ġdemocr acy +. var +Ġsatisf ied +------------ - +enc er +h or +Ġr ounds +DA O +o a +Ġfl ask += c +[ ]Ċ +/d ist +Ġpart e +Ġconfirm ation +er on +aw are + +Ġdepend encies +ĠV ideos +- row +Ġ** /Ċ +Ġn ou +Ġh over +æ ŀ +Ġn in +ĠUS D +M ac +_L oad +Ġout comes +_s ocket +Ġqu eries +w m +Ġhit ting +in ux +M ich +ud ge +AT AB +Ġvulner able +ä ¾ +Ġport folio +: YES +ĉm ap +B ound +Ġiter ation +in cess +Ġact ors +ĠQ ual +_c lean +ãĢij ãĢIJ +MS G +G reen +ĠOff icer +Ġsm oking +> ', +ĠF lo +++ ; +oly gon +Ġbul k +Ġdr ama +Ġexception s +os ed +Ġ+ čĊ +Ġleg acy +C V +Ġcontrib uted +ĠTer ms +Ġb t +Ġunt uk +Ġal ien +=== Ċ +ĉ Vector +Ġl s +On line +.f acebook +num eric +ock ets +A ut +b ury +-re dux +ĠRed istributions +GLOBAL S +urrenc ies +Ġt ons +âĢĻ , +Ġà ª +(c ol +ĠS ymbol +Ġstay ed +ĠM L +Ġm unicip +Ġsex o +S en +n r +Ġg ains +Ġshort ly +.M enu +à ½ +KN OWN +Ġoper ators +- V +ĠPat rick +/ add +_C O +ir ation +(p ost +Post s +/ _ +Ġpl ug +Ġintellect ual +Ġmet ab +Ġpregn ancy +ĠPrem ier +n m +Ġpred iction +ĠMin istry +Th ree +val uate +ĠMin i +b u +оР· +< ul +Ġd d +ol ving +ĠC ut +Ġs chem +.tr ain +it ate +Ġr ice +Ġbird s +ãģ « +m iddle +struction s +Ġn erv +a que +Ġfl u +Ġsurv ival +ĠGal axy +ĠF ant +. Order +At trib +irt s +é c +M ovie +Ġcon ce +qu arters +Ġm ood +.Add Range +Ġres olved +ãĥ Ī +Ġburn ing +ĉĉĉĉ čĊ +ĠW E +Ġhost ing +L AB +Ġman agers +Ġstre ngthen +< const +ĠFire base +on ed +ĠJ ean +' ";čĊ +ĠS av +.B old +Ġen ables +ĉt mp +Ġman ually +ĠS qu +user id +.f unction +.c ache +LO PT +.S ervices +dd it +t im +< img +ĠTh ings +ĠEvery thing +Ġa pt +em and +Ġroll ing +ë ¦ +. level +Ġst om +ĠW inter +Ġview ing +( values +ocom plete +v ia +up o +Ġabort ion +i ère +ï¼ ij +_B UTTON +_d omain +Ġb ra +ĠA st +in as +Ġstat ist +c od +L R +Ġdr ives +Ġfollow ers +Ġall ies +ĉc urrent +ecess ary +Ġdam aged +_ pt +and les +oun tries +Ġsim ult +e u +Ġcontrovers ial +_G ROUP +Ġr ib +. Info +: mm +.n ormal +_ADD RESS +Ġ íķ +add le +ĠD ur +. Element +W arnings +Ġcred its +Ġin hib +Ġem issions +Ġh az +.y outube +ugg ed +Ġbo ther +ĠK ansas +ĠF ixed +ĠTest s +ĠF IX +Un iform +Ġk ont +>> > +st ation +lo re +at ype +ish op +/ **************************************************************** +Com boBox +Ġvac ation +Ġiniti ative +Ġdefault Value +con cat +ĠK h +ĠW elcome +ized Name +M igration +Ġgrad ient +H ot +Ġhard ly +el o +ĠStud ents +Ġlo ose +at z +.S end +' / +Ġunivers al +Ġenter prise +Ġreg ex +Ġvis itor +ĠF ly +Se q +ภĻ +ĠVis ual +Ġlib raries +ato es +P ayment +Ġp ent +Ġgather ed +VRT X +ĠD M +S plit +Ġlet ting +Ð Ŀ +_error s +ep och +P ARAM +c u +ÑģÑĤ в +ol utions +Edit ing +font s +Ġalloc ated +ĠB ased +( Y +ĠJud ge +Ġbro thers +FILE S +ç o +w b +_P I +' ^ +Ġs word +.s ervices +Ġn l +T im +ig g +ĠMo ore +Ġcrypt oc +åĩ º +_post s +ot ate +? ' +... .ĊĊ +Ġk l +=" $ +Ġdec oration +Ạ¡ +ĠD IRECT +G UI +) =>{Ċ +Ġnews letter +Ġprec is +(p oint +ĠEqu ipment +ut y +ĠD ave +Ġparticip ation +u arios +x it +.A s +ET ER +or ous +Ġsh ield +[] > +ilit ary +. origin +Ġprom otion +U nt +Ġc t +TR A +View Holder +Ġsig ma +d elta +are house +con tract +( Vector +Ġcompet e +/ form +/ components +Ġn r +ĠInd ones +Ġо ÑĤ +ĠV olume +.f iles +(res p +/ models +Ġsur f +stand ard +/ o +ĠXCT Assert +V ICES +.C ode +SE D +Ġact ivate +D elta +Ġlimit ation +ri j +Ġpregn ant +: ^( +Ġs our +p ie +Ġexp ense +ic ation +ĠL arge +Ġ ± +ĠB owl +(model s +/ N +P a +.re load +Ġwonder ing +Exec ution +ĉ ĠĠĠĠĠĠ +ĠG raphics +ĠCont in +_j ob +Ġget Name +ĠM agn +ĠD WORD +m ad +Ġn h +fe atures +} ");Ċ +he ets +(tr ain +z n +Ġrecru it +.con nection +Ġbar rel +Ġste am +_set ting +Ġang ular +ane ously +Ġb il +ĠN orm +(! $ +ib t +% ( +Ġpos it +ĠF ather +int endo +L ive +Ġport s +Ġme j +Ġland ing +pon der +Ġc od +_HE ADER +.M argin +Ġball s +Ġdiscuss ions +Ġbl end +H ex +Ġfarm ers +Ġmaint aining +ĠĠĠ čĊ +s yn +[ T +r us +uff ers +Ġcontrib utors +_s ys +.De bug +Ġconstruct ed +om es +? id +sl ider +Ġsup pliers +scri ber +p es +Ð ŀ +": čĊ +\ Controller +)) ĊĊĊ +Ġl ua +M ulti +EN S +S rc +Ġpet ition +Ġsl ave +look ing +V ERT +ĉ vector +S pecial +h h +an ne +ĠN iger +/ views +z ing +end ant +< C +s peed +Ġ{ };ĊĊ +Begin Init +Ġf open +@ RequestMapping +End Init +Ġp unch +S ender +é Ķ +get Message +/t ypes +.P I +(' ');Ċ +oc used +( all +Ġdrop down +). __ +ĠV in +.Fore ignKey +can f +ou red +ĠOrgan ization +ĠÐ ° +ĠC ulture +(cl s +, _ +rg ba +ìĿ ĺ +.data GridView +Ġdo zen +ĠG es +_sh ared +n ick +Ġh osp +om eter +Ġclaim ing +ib les +ri k +æĺ ¯ +en ario +Ġd engan +ob b +m ont +_r ank +('/ ', +Ġap olog +P s +_p ower +ĠG ree +Ġful fill +Ġfire base +Ġf are +ĠH im +Ġbe an +âĢ¦ . +ĠS PI +_R X +Ġper ception +rel ative +comp ile +u um +ut os +a uc +ĠAs k +Ġindic ator +/ th +.set String +ĠWis consin +.D omain +Ġart ificial +De velop +ĠSar ah +Ġl ying +( search +ĠEmp ire +urr ing +æŶ éĹ´ +=" ${ +Ġget Id +ĠP ayment +trans ition +Ġ ]. +ix in +V T +- select +Ġdemonstr ated +Ġlast Name +employ ment +.get Property +Ġf ought +file Name +ĠP ers +-c ard +a str +attr s +Ġprom inent +Des ign +anc ouver +ãģĹ ãģ +ard o +se cret +Ġr ag +Ġpo ison +-m an +, omitempty +ĉ un +it zer +ĠCas ino +ĠR oss +- foot +(result s +Pl an +Ġlas er +ê¸ ° +_D R +F acebook +Ġbo ards +st a +] ], +Ġt iles +S IZE +Ġ= ~ +Ġprem ier +oc ab +Ġenc oded +Ġres erve +ĠAfghan istan +ĠList Node +url s +Ġsub mission +Ġne u +Ġ# +# +_P OST +Ġmo ist +ell i +ellig ent +. alert +ó d +b re +ĠCol lect +Ġgraph ic +Ġlong itude +ĠPro vid +ĠCal culate +x ffff +c riteria +Ġw aters +ro ck +lo quent +ĠT rib +Ġbur st +Ġsuff ix +.Ext ensions +ish es +iv el +ĠLI KE +ĠGet ty +.Action Event +.s lf +ĠH AL +up al +E AR +ud i +_time out +U F +ĠSing apore +ĠAd vent +_int erval +cha ft +ĠE mer +Ġtele phone +ĠTur k +_ interface +ĠO wn +Ġencour aged +< Object +_T ext +ĠOnt ario +ĠApp ly +.f irebase +Ġant ib +P riority +ene z +D ays +c id +urre nce +; / +inn ed +Ñģ Ñı +Ġve z +f w +// $ +att ack +Ġstart up +ain ers +.f ragment +op acity +( conn +he im +.n etwork +( stream +ĠN ON +t ol +ĠX box +ĠD S +Ġc ached +Ġprostit utas +ĠB alt +(' [ +Ġno except +" ' +Ġs d +. valid +_ ag +Ġr aces +Ġro d +itud es +< >( +.Pro duct +Form s +NE W +P ay +ĉ boolean +_ contact +ĠElect ric +sk ip +Ġw ur +Ġch ronic +_d river +ĠS ab +ĠU lt +ĠR ad +ST ATUS +ĠLew is +O B +Ġgift s +.Re c +TR UE +Ġint ensity +Mark er +.com pare +ff ic +C ookie +ĠB aby +ĠBig Decimal +ile t +ĠHOLD ERS +ĠL ady +Ġl ung +ĠAl abama +Ġd ess +` );Ċ +ĠB uilder +_reg ion +Ġne utral +Bo th +Ġh p +Ġh orn +Ġseg ments +ĠE C +"=> " +( rec +ĠP i +G M +Ġl aptop +Sc alar +is d +-d ialog +ĠAnd erson +Ġmist akes +ĠH an +j es +est ination +Ġprom ises +b id +ĠSc ient +G IN +ĠPer formance +b age +. users +le ading +Ġor al +G raphics +_P TR +h ang +Ġin ev +process ing +F actor +ĠN A +$ string +Ġground s +.Save Changes +c lock +cri pcion +ĠNew ton +g c +.in cludes +Ġbl ast +Ġ'- ' +Ġpued e +.S ession +Ġgre p +_f inal +ĠG ay +ĠG ive +ir i +-st ar +ĠUI Image +_ep och +ub b +ent h +Ġel ite +Ġcampaign s +ĠP orno +_ assign +Prot ocol +ĠBe ing +ĠAir port +Ġconvent ional +ĠW at +ĠC I +ET A +ĠAnth ony +Ġtable t +( format +Ġconsist ently +ĠI owa +Ġav atar +.c ursor +! [ +Ġh anging +H er +S uch +';ĊĊ Ċ +orge ous +() == +Ġview Model +Ġ ãĥ +Ġel s +ĠAg ent +F etch +ap or +Ġc x +p read +ĠP ier +oe ff +S n +ĠV irtual +A pr +.Wh ite +_M OD +ĠPoint s +å¤ ± +Ġgen es +Ġv endor +Ġmain stream +< src +ĠEl izabeth +Dec oder +- state +ĠG lass +nc y +adi ans +_m on +ĠRem ote +Ġwire less +ĠM i +å ī +è¡ ¨ +st age +ĠT ile +ll ib +V ariant +== Ċ +Ġgold en +(Q String +.put Extra +ĠD om +ĠAn imation +Ġinter active +if act +éĻ ¤ +LE T +Ġfrequ ent +Ġ< >Ċ +F ilename +Ġs ne +ĠFoot ball +Ġr ival +Ġdis aster +ion ic +ĠD amage +. Resource +- en +ĠT ypes +get String +( board +Ġb ol +pl ain +z ym +ภ² +Ġsc anner +ild er +_msg s +æ ı +(int ent +Ġde struct +Ġb ust +ĠE mploy +on i +ĠUI ViewController +Ġodd s +ear er +Ge ometry +Ġy ii +_EX PORT +ĠAtt ack +Ġn iet +Ġim pression +ĠG il +_pro b +ĠC F +ĠEx perience +/pl ugins +.M ethod +Ġbelie fs +N ative +_b uild +Ġv ig +Ġr anks +cover ed +s uch +G uard +.p ack +add er +iv ia +l ng +Ġв Ñĭ +T imestamp +_n ow +Ġp oker +Ġun c +Ġsh apes +-t ypes +_per iod +p k +Ġveter an +Ġson o +Ġappoint ed +over flow +.d river +_c at +ut t +pl ant +im b +ĠAc cept +Ġconc ert +ĉ node +ĉ z +? >čĊ +Ġb anned +ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġto xic +Ġdisap pe +È Ľ +Ġgr ace +ate ful +Re ply +ĠCru z +Ġsc rap +Ġkey words +s imp +Ġmort gage +Ġcy ber +ĠEx ecute +Ġlat itude +if u +.C OM +d bo +Ġsort s +ĠG as +om ial +.L ocal +Cell s +.Re place +String s +.f it +ĠTh ird +% ",Ċ +Ġ{} ". +ĠS ony +Ġ[ : +Ġfall en +. ')Ċ +in h +ĠM C +Ġred is +C odes +Ġprofile s +h ook +Reduc er +_F UNC +Ġn avigate +str len +Ġh orm +á ŀ +ĠS R +. boot +Ġdig est +ĉ header +.find One +æ ģ +Db Type +n ia +_m erge +Ġdon ne +/ Getty +_CH AR +Ġb ands +. URL +art ial +Ġf req +Ġs ist +N g +Ġrender ing +\ Core +Widget s +ĠV A +Ġactiv ists +St e += _ +all a +St amp +Ġload s +Ġx x +ĠL earning +.M vc +u ir +(" $ +Ġconnect ing +Read Only +ur u +ĠE ag +B IT +_DE L +å § +arr ass +ext ernal +ĠY OUR +ĠB rew +ĠF ive +Ġres ize +ig id +er ation +ĠÑ į +åĬ ł +ĠC atch +Ù ģ +ĠLe on +am il +.B ody +Cl ip +/ list +.b r +Edit Text +ĉ db +.G ame +(Build Context +back end +.R ed +face book +.url s +m r +rol led +---- --- +Ġinter vention +Ġretire ment +ĠK it +ĠP RE +Upper Case +ĠS ocket +Ġ: - +Ġstudy ing +ĠMet ro +ard ed +Ġconvers ations +C alled +Ġexam ine +ert ificate +.g z +-res ponsive +Ġref und +_n etwork +allow ed +em pt +Ġme als +C ategories +Ġtravel ing +Ġk g +Ġsh ame +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġexplicit ly +Ġmath ematic +ĠS uite +ĠR GB +****** / +Ġmix ture +lear ning +.t emplate +att s +w x +ĉ ctx +.p roperties +Ġdrink s +ĠE ither +set Text +.get Data +.z ip +Ġreve als +< table +.Hash Map +ĠH ur +) ");Ċ +.f ramework +ĠST ART +feed back +Ġsaf ely +. icon +config ure +. lock +.l ayers +/> .Ċ +Ġrank ed +_ impl +ĠHand les +Ġhost ed +Ġup dating +al bum +é Ŀ +Ġsh ader +Edit ors +- round +[] { +Ġse p +ĠH i +TE M +look up +.m an +_IN PUT +Ġthreat ened +_IM PORT +Ġd rops +ru it +s id +bo th +ĠEx cel +Ġj er +ord inary +еР¹ +V IEW +re ply +Ġ) :Ċ +color s +ver ified +_T r +_p arse +Ġcon gress +P romise +int s +ĠM other +.A pi +ĠD uration +Ġfirst Name +inherit doc +ĠM ars +Ġa pr +OD Y +Ġvis its +Ġhe aling +let ters +)) );čĊ +f uture +.F ramework +Ġk iss +Ġinv olve +Ġsil ent +ad ows +Ġany body +s ch +Ġsole ly +- img +Ġprop ri +Ġin struct +Ġlic enses +Ġm eth +Ġcond em +ĠD omain +ĠHarr is +Ġs Ã¥ +CE PT +B atch +@ extends +ĠCONTR IBUT +.Data Frame +_p acket +rec ision +Ġfoc using +. ht +__ ":Ċ +: Get +ĠK C +Ġpass age +Seg ment +_c enter +-z A +_B L +Ġconv in +Ġclass ified +ĠNS Mutable +_ ap +t ile +Rect angle +(n ums +v ens +ĠUI Button +ĠF eder +am o +Ġout line +ĠPar ser +Ġâ ī +ĠWork s +.S chema +Ġeng ines +_com mon +_ old +Ġset ContentView +Ġ/// < +ĠB T +f m +Ġd ivers +_ weights +em ark +ĠA CT +Ġpro portion +over lay +.dir name +ĠG it +_REF ERENCE +< > +l b +_r ule +è´ ¥ +ĠPut in +Ġsleep ing +() :čĊ +Ġpres erve +Ġpar liament +ĠLook ing +Ġpick ing +ĠDis patch +Ġsl ip +ë ĵ +ĠL yn +_sign al +config uration +ĠP itt +ad en +pro cedure +Ġenthus i +f ight +ĠCons ider +Ġt orn +Conn ected +.c os +_group s +ĠTh ink +Ġdel iber +Ġres id +work ing +.column s +ĠCal led +Ġes lint +> ", +_D OWN +h ist +ĠAdv anced +Ġre wards +act ors +Ġsil ence +Ġmy th +Ġne ur +Ġa uction +.Get String +ek s +( project +ĉ msg +ĉ output +Ġcomplaint s +, S +Ġt bl +Ġ, ĊĊ +ri ors +ah ren +Ġlawy ers +re dux +_s ymbol +off ee +_RES ULT +( Name +UT C +.current Time +Ġorgan is +. arg +Ġmin im +w ick +Ġrece ives +B alance +Ġspeak s +ĠD ays +ĠBel ow +t ipo +P resent +Ġres erv +h p +Ġr it +_R IGHT +-- ) +Ġchair man +D IS +ĠBO OST +Ġexper iments +__ );Ċ +Ġst amp +Ġf ert +Ġf ond +T er +el ve +ure n ++ i +end ency +Ġvirt ually +... " +ï½ ŀ +- cent +_un ique +Ġpr icing +m ic +RES H +Ġ:: : +Ġan notation +ĠC ircle +ong odb +it as +Ġ% ( +( component +Ġо б +( port +-h our +. obj +L BL +Ġj ury +GB T +Ġsp y +ĠProf essional +Ġ"" ;ĊĊ +Ġstri king +Ġdiscrim ination +Ġp ays +lic t +ent es +Ġthrow ing +ĠPl ugin +( def +ĠRuntime Exception +ĠM igration +Ġd ic +b ag +on ia +Ġcor ruption +( Map +Ġpr z +.d to +Ġac quire +State ToProps +Ġlo ving +оР¶ +_p attern +Ġemot ions +Ġpublish er +_b e +Ġcoup les +o j +ĠCh art +Ġt rop +.t ool +Ġestablish ment +Ġd ol +Ġto wer +Ġl ane +ĠSy dney +Ġfill ing +claim ed +Ġdialog ue +Ġcon vention +book ing +pare ncy +æ ± +ĠGener ic +\ Schema +Ġr anges +/ ch +Ġpan els +Ġr uled +çĶ Ł +.t s +_s ets +Ġclean up +Pre vious +ĠAn imal +($ ( +ĠA ve +oll ar +_e val +ĉ Name +(t ree +Ġ" ] +Ġdut ies +=' / +Click ed +Ġdifferent ly +ĠCl ark +Ġd it +olog ists +Ġsy nd +Ġs ends +- known +k b +ĠMod al +it ative +Ġr acing +Ġhigh lights +ĠSim on +ĠCapt ain +ä¿ ¡ +ĠC B +cont in +ar an +Ġphys ics +ret ty +et al +.m d +ax ios +Ġspeak ers +Ġpre p +Ġaward ed +ì§ Ģ +ĠC orn +ĠN ature +UD IO +Ġpro j +- pre +[ u +Fe atures +Ġis Equal +B inary +s ig +Ġconf usion +ĠH at +Ġkt ó +.config ure +M ON +/ edit +_A dd +, true +Ġc li +Error Message +- loader +Dim ensions +ultip ly +Ġ{ !! +ĠSql Command +Ġsp oken +Ġp ics +Ġto y +( Key +ĠLo op +Ø ¨ +E ATURE +in ction +_set up +w rapper +Ġt ong +c ular +O pt +.P l +=" , +(l ength +um n +Ġch rom +Ġse vent +ĠIllegal ArgumentException +ĉ start +Ġbeg un +CE PTION +dat aset +ĠF ailed +col s +Ġkne e +im ore +.sp lice +sh ell +ig gers +Ġthem es +ĠD J +ĠAss istant +- $ +May be +Ġorder ing +ĠInt elligence +ĠMass achusetts +Ġfail ing +el son +G reat += i +.re st +Ġinv ite +-dis able +.Group Box +âĢĻ est +Ġtack le +g v +et ter +Ġ), čĊ +_r ules +.w arn +function s +ĠChrist ians +Ġback ed +Ġsl ider +Ġenjoy ing +n est +Ġh ij +_m s +// * +An notations +ĠVariable s +< V +( server +ĠOr acle +element s +Ġorgan isation +_point er +ĠHe aders +[ d +Ġdead line +iss a +Ġkn ife +ĠNAS A +ĠHe ight +ĠAs ync +Ġven ue +.d om +bour ne +ĠHaw ai +Ġmem o +ict ions +Ġsurve illance +om i +/ assets +Ġed u +Ä Ľ +Ġro ster +Ġh ired +ĠT ok +Ġpl acement +ur ations +Ġset State +ĠMag azine +Ġhor ror +T ry +Ġl ag +ĠEvery one +th ur +)) ;čĊčĊ +. return +Ġsy mp +âĸĪ âĸĪ +Ġn ights +work er +Ġa le +ennes see +.st ep +Ġsynchron ized +our i +Do es +. change +f on +.set Background +irc ular ++ - +ĠC IA +ĠJ ane +ĠSim ilar +- I +level and +Ġpros pect +_f ound +ĉc olor +.D iagnostics +Ġann ounce +Ġassum es +/ tr +Ġb d +ĠCar bon +Ġanal ys +.de st +n ik +ĠL ie +- index +Draw able +ĠT AG +Ġtri angle +_F LOAT +ĉĉ ĠĠĠĠĠ +.bl ack +v ue +cur acy +Ġaffect s +Ġsure ly +Sl ider +uk i +c ery +Ġun ter +.pro file +ord on +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +le ave +Ġsmart phone +g ie +Ġcons pir +Ġt utorial +ç± » +Ġc ab +ĠSum mary +* ĊĊ +ä h +" This +Ġsl ides +" +c ycle +ĠB ull +path s +Ġun p +Ġview DidLoad +_M odel +Ġassert True +Ġr ated +De cl +vert ed +ĠD at +b rew +Ġpoint ing +M s +ĠPoint er +) ' +_n on +ĠSE C +Ġy eah +g ency +initial ize +f ly +[ pos +, g +Te le +Ġj oke +Ġcl ause +.find ById +en es +( instance + £ +Ġs lic +_h ome +Ġ*/ }Ċ +_p ages +(s ervice +R P +ĠAm ong +.get Current +ãĤ ¹ +Ġs lee += [Ċ +ol er +Ġlib ert +Ġ` Ċ +Ġw enn +l ated +Ġimm une +( Node +ĠPro blem +ĠA bs +log s +Ġ ../ +ĠA DC +Ġ}} ">Ċ +> ');Ċ += b +ĠW ind +lah oma +Ġalloc ate +or ian +Ġpres cription +- quality +ĠMay or +in ely +end foreach +ĠCom plex +k om +T Y +] ]. +. Style +_m any +',' $ +Ġbar rier +ĠF etch +ĠMar vel +Ġres ist +ог о +b idden +ĠRun nable +: false +Ġbuild s +ĠSt age +Ġd ub +emp o +.s ite +;ĊĊ ĊĊ +ĠDen ver +Ġre vel +Ġtrigger ed +Ġd ice +_f ail +Ġg c +ĉ X +ĠTh rowable +.r outer +ĠRev olution +ÑĢ а +_N ON +Ł ¥ +Ġel der +Ġab road +ĠÐ µ +ĠAd ult +bl r +g lyphicon +Ġprom oting +Ġ iz +ĠS olid +_lo ader +ear ly +.en abled +- edit +ĠU L +_ play +ĠInt errupt +Ġadvant ages +uc le +Ġmechan ical +.table LayoutPanel +ĠWork ing +Ġan onymous +R ating +ig ious +_ph one +.addAction Listener +Ġfr an +und en +Ġ*) & +_ bool +ul ative +Ġcon e +ĠM ult +Ġm ö +ĠFor ward +] ):Ċ +Ġconvin ced +act ed +ãģ ĵ +ĠConfig ure +Ġce iling +D er +Ġpass engers +Group s +Ġsoc cer +/ W +avi ors +sw ith +ĠZ one +. Options +ĠM om +ied er +Array s +Ġtreat ments +Ġprotect ing +f ac +Ġpick le +Button Item +Ġblock ing +str ar +à ² +ĠEx port +Ġth rew +ott a +ĠB ASE +.w s +.LE ADING +order By +_d elay +ĠP u +.d ll +ĠCh oose +Pol ice +ĠBE GIN +box es +Ġdiam ond +, l +Ġ ĉĉĉ +Ġcur ious +t v +Ġerot ische +ack ages +ĉ Set +T ick +.b order +static method +Ġch er +in voice +Ġcr u +Ġdef ect +_m etadata +re lation +ik an +[ N +(Q t +( Base +æģ ¯ +be at +ĠEm pty +ĉ o +_sh ift +Ġreg ret +Th ose +C ent +ĠPort ug +ĠIs lands +ĠT IME +Man agement +-s p +ê me +Ġnot ion +un ifu +P K +è¡ Į +ĠCUR LOPT +\" \ +U V +ç º +d ra +c ou += ` +ĠD estroy +r p +.c ancel +G G +r untime +ĠV ue +Ġprogress ive +/s ervices +Ġrun ner +_FR AME +.ToolStrip MenuItem +Ġ' ,' +d elay += utf +Ġscreen ing +Ġpull ing +om as +Ġan th +- new +/ local +Ġi Pad +Ġt witter +Ġd ying +Ġhe aven +ĠU Int +ĠSen ator +Ġpres um +ĠWalk er +Ġover come +ete ction +Ġemb arrass +Ch ina +In clude +RO LL +Ġdata Type +D avid +ภ£ +lo p +-m onth +Ġsc ar +ĠS afe +Ġ **************************************************************** +Ġaccess ories +Ġr amp +_U SE +Ġcontr ad +)) ]Ċ +Ġpre st +ĠH R +ĠR ap +Ġus ize +Ġcap ability +Ġc ort +- next +Ġbur den +_read er +Ġ@ @ +reg ular +ĠK a +M AN +Ġa str +Ġ' ')Ċ +Ġf ed +Ġpars ing +ĠY ears +Ġbro ker +": {" +Ġa kt +In ventory +abe led +Ġarg parse +****** *Ċ +vers ation +Ġc ord +ĠT i +Ġhope fully +Ġa h +ver b +Ġst olen +. Entry +Ġexpect ing +O rientation +Ġpower ed +Ġp ersist +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +'] ); +')) ,Ċ +ĠC ash +ĉ item +gr ades +rop ol +b asic +Ġ" );čĊ +Ġaw ards +(r ange +- all +ĠIB Outlet +ĠInd eed +---------------------------------------------------------------- ------------ +Ġstom ach +Ġfl ower +Ġs ew +_t imes +av is +Q String +ĠR outes +_pro t +Ġcom edy +Ġlog out +Ġwood en +Ġpost er +p iece +.J oin +ĠP ok +cel ona +mut ex +;čĊ čĊčĊ +Ġstri kes +Load ed +) arg +es a +Un ited +E p +PE LL +ĠAtl antic +ul let +app le +Ġsett led +a con +Ġprint er +ĠG C +å® ļ +Ġrender ed +, âĢĻ +he it +s ocial +. ge +ĠR ick +ĠUt ah +g ot +on ical +ĠSc roll +ĠSc iences +Ġj ug +Ġam pl +ent i +LE FT +Ġt abs +Ġenorm ous +.get Key +loc ate +. EX +.st orage +.W e +Ġto ast +ĠAdd itionally +ĠN OW +_ UPDATE +Ġtrans ferred +th a +.D isplay +_ ui +ID EO +Ġmeaning ful +ĠMos cow +, this +ĠVict oria +æĶ ¹ +ĠÐ Ł +.st ack +ĠB arn +pared Statement +: string +Ġb ij +ĠST ATE +Ġemploy ers +ĉ input +( | +Ġle x +in voke +ĉ num +++ , +at ial +ors es +Ġfor k +_t xt +ĠAnton io +Ġ( < +aver se +Ġdev ast +ãĢ Ģ +.D ec +ĠG ard +/ ui +. % +tr i +Ġrol led +Value Pair +itt en +ĠTh er +Ġv rou +ĠFl ow +ĠFin ance +ĠCom b +H C +.set Visible +is l +Ġp k +Ġup set +( raw +ĠV ice +e atures +ĠL ang +Look ing +ĠA ST +Ġtri ps +ĠJust in +b rowser +=" '.$ +. vertices +- co +}/ { +Ġ? , +ĠD omin +ĠBel g +" < +Ġsup pose +add y +Ġwalk s +ERR U +_f ilters +Pre ferred +sc ene +е Ñģ +ĠAff airs +Ġ"# { +Ġon Submit +Ġstock s +/ view +g ree +- get +h it +J o +.get C +Initial ized +ÑĤ и +c uts +( Type +ĠAg reement +ĠViet nam +Ġ/* ! +Ġp izza +- view +_ em +Ġl hs +Ġm uy +ĠId ent +ĠF riends +Ġab und +_A D +.t imestamp +- ' +Ġd uplicate +Ġhun ting +Ġregul atory +ia o +am ous +ĠEnt ertainment +[ A +iat ric +_CL IENT +ĠK ids +/p kg +B reak +)) );ĊĊ +ĠSh ape +Ġrel ating +Int errupt +able Opacity +emb re +Ġmyst ery +Ġjournal ists +rit able +.L ink +Ġstop ping +CRE T +.D B +Ġpopular ity +Ġg ew +Ġim pr +set Value +FL AG +ĉm ax +Ġb ake +w y +ĠEcon omic +Ġen contr +Ġf name +/ de +R ank +Ġbug s +.s m +Ġmed ian +D OWN +ĠS ure +At Index +ĠD ick +Ġ( __ +.d elta +F r +Ġsuggest ing +ĠRec yclerView +, e +ST ART +/************************************************************************ **** +xf ord +Ġrece ipt +CL AIM +read only +Ġeng aging +C a +as ma +Ġens uring +Eng lish +ĠV ancouver +hy th +Ġpurch asing +ĠP I +. word +(s p +.h ome +: def +Ġg ig +ĠV e +for um +ĠM itch +B ay +_F L +Ġs oll +_column s +Ġminor ity +b ird +Ġhand ed +SS L +ST AT +Ġnerv ous +ĥ ½ +Ġfile Path +CRE ATE +A w +Ġp ens +se ed +ĠCom pute +ol k +ĠAs set +re ach +'), čĊ +n avigation +L F +/ util +ĠP ub +Ġâ Ķ +c ion +## Ċ +II I +Tag Name +Ġam id +per mission +if iable +xFFFF FFFF +н и +.B uffer +_ irq +d ark +Ġret val +.f ire +produ ction +.list en +ĠWe ather +Ġbuy ers +. ne +er p +ĠP ent +Ġw elfare +Ġpage Size +ĠSt adium +ert a +Ġle v +amp a +P ager +Ġcharg ing +ĠNet flix +| null +_r andom +.x path +Ġst ere +ĠIS IS +pons es +( loc +ey ond +ĠOff icial +ĠMary land +Data Type +_p ar +{ }, +ĠEn joy +_SH IFT +ĠA wards +_ENT RY +Ġseem ingly +entic ate +Ġheart s +_ ;ĊĊ +ĠH IV +Ġindiv id +ĠFl ag +_ ctrl +ĠC allback +, z +ĠG PU +ĉ obj +ĠPh oenix +ĠB US +Ġrub ber +_A UTH +ĠSol utions +( location +Variable s +.set Enabled +_h igh +W O +G esture +Ġre try +Ġobject ForKey +allow een +Ġm os +ĠC ele +Ġik ke +(c ell +ĠM ODE +ren a +Ġdescri bing +Ġph i +Ġr d +Ġdes erve +Ġwhe els +å¸ Ĥ +Ġcrit ics +N amespace +ĠF ra +Ġ ĊĊĊĊ +Ġall a +Ġrequ iring +æľ Ł +ut ation +Ġdelay ed +Ġadministr ative +Ġb ay +.h idden +T ex +Ġbound aries +Ġ] );ĊĊ +ĠFollow ing +~ / +F i +_con v +_T ITLE +Ġdes de +ICollection View +Ali as +Ġb ite +pat ient +_COMM AND +Com pleted +ĉ elif +( < +B usiness +ĠP ool +Ġpurs ue +ĠB an +_st eps +_DE CL +um ble +Ġcom bo +ĠL ayer +.x r +Ġd up +-------- - +Ġmod ifier +ro b +re z +Ġath letes +Us ed +w ear +Ġlegit imate +Ġ" ĊĊ +Ġh v +St d +ĠH old +Ġsurv iv +ĠAll iance +ĠEar ly +Beh avior +(f ont +/lib s +Ġrect angle +Ġs inger +Ġam p +Equal To +Ġ" ." +Ġgirl friend +å ± +line ar +obs erv +Ġpi ù +Ġcomple ment +With Value +(p assword +t ake +Bl ank +ĠCom par +' ", +_p olicy +m ongoose +_FA ILED +.re port +R atio +.Perform Layout +us able +m ers +_re nder +PE ED +Ġles b +ĉ E +_t ool +Ġl adies +о Ñģ +)) ))Ċ +;; ;; +.d ot +Ġn est +pe ak +uk kit +ec a +_S W +Ġ& ( +ĠOk lahoma +Ġbank ing +ĠN intendo +Ġreprodu ce +_element s +_m ac +pro xy +Ġremark able +}/ ${ +Ġout s +.has Next +M ODE +Ġan ime +.con n +Un ique +D om +Ġimportant ly +itt y +Ġju ice +T w +ĠPart ners +Ġattack ing +Ġport able +am iento +.P ictureBox +.g en +Ġopt imal +Ġre cre +Ġjournal ist +ĠEx tract +ĠMore over +Ġmargin Top +.A p +Ġf iring +Na N +ĉ template +аР´ +. En +Ġdef ence +ĠT el +il en +j an += data +ĠU rl +ĠRe uters +(t otal +ĠFif th +Ġess ays +Ġinterpret ation +Ġchar ity +ĠR ules +Ġsub section +st yled +az er +l ags +L IST +Ġupload ed +Ġtr ash +Ġreg istr +Ġsell er +>' ;čĊ +Ġstart Time +ç Ļ +s y +(Http ServletRequest +Ġtr ap +G C +Ġembed ded +Ġsurround ed +im its +T X +yl inder +ĠF al +Ġsent ences +ĠJ a +IF ICATION +we apon +ov ation +Ġco at +Ġinter pol +Ġl ips +ĠK y +Ġv ectors +_ am +Ġint ake +.w orld +Ġin box +ĠM AC +_ ab +(name of +Ġent ert +Ġgather ing +ĠS IM +++ . +ny a +' }} +ĠUP DATE +Ġp ac +( html +ĠS ant +i ating +ĠIde as +Ġspr ay +ĠH art +Ġver ification +ades h +/ modules +ĠM ind +ĠSized Box +Ġsh elter +Ġher oes +att y +Ġcert ified +s j +Ġê tre +ÅĤ o +Ġpublish ing +ĠMal ays +.get User +ĠPro vider +ĠLinked List +ĠB or +RO UND +d id +t ain +p ire +ĠJ enn +t el +and e +_f ront +ĠMc G +Test Method +à¸ Ń +Ġoccasion ally +ĠW ales +Ġexerc ises +ĠÐ Ĵ +- plus +Ġvalid ator +Ġpr ayer +L ATED +_ author +Ġlab our +++ Ċ +-e quiv +ĠG PL +Ġface book +s imple +g ly +Process or +ip y +Ġ* > +Ġcle ared +ĠP ush +Ġpen is +Struct ure +li j +ĠM organ +Ġhand ful +" .Ċ +| \ +Ġ ******************************** +ĠA qu +_ IC +.load s +Ġm eter +ĠMar ine +:: { +ĠT S +ĠArray s +.T itle +GR AM +ter min +Ġco inc +El se +_st ates +-r un +m embers +ast ro +Ġon Press +Ġbe ings +Ġabandon ed +Ġtax p +own ers +.m ode +Ġdiagn osis +Ġ_ Ċ +ĠK night +ĉ A +Ġob serve +), ' +! ")Ċ +ĠPar a +Ġvari ation +( False +ĠAnt i +Ġg ri +Ġhome less +? v +Ġbe z +.S erver +re lease +ĠP atri +Ġchar s +Ġrank ing +activ ation +Ġw ides +q r +.S ql +ac ular +ĠB ot +_s ync +Ġhapp iness +Ġvolunte ers +Ġs its +/ < +[ e +(file Name +Ġcap ac +ĠMar ia +f ather +Ġgr am +* i +Ġcas o +_d raw +ĠR aw +ĠIter ator +ĠP adding +P D +BO X +ĠS PECIAL +Ġfe cha +Ġv ide +ĠLe ader +ä» ¥ +$ (". +Ġdiam eter +Ġm ild +Ġrock s +app ings +d irectory +.fl ush +ĠJ ess +UN IT +ĠP ear +Ġmand atory +S ur +q t +Ġstream s +Ġco operation +ĠS ac +Ġche aper +ĉ ch +an imation +f are +( height +( True +N Y +Ġw rest +Ġpoll s +Ġencounter ed +ĠMarket able +_P ASSWORD +_SE LECT +ĠArab ia +_c lock +Ġv oy +Ġи з +Ġst ir +is ible +-e ffect +.c reated +Ġto ys +ĠTrad able +Ġr ust +Ġstr cpy +_t imestamp +Ġtalent ed +, null +ĠJ obs +ĠPort land +Ġweak ness +Th row +ĠAng el +ä¿ ® +Ġun cert +ï¼ī Ċ +ĠìĿ ´ +Wh ich +Ġ[- ]: +S omething +Ġconv icted +k le +ed ium +Ġbranch es +Ġb ases +ç ® +Ġcomplex ity +ĠF ig +. reshape +$ db +_CON ST +ĠT es +.r untime +Ġden y +ĠB SD +Ġk r +h att +ĠSt atic +Ġunivers ities +Re place +Ġdro ve +Ġad oles +_pl ugin +ĠL GBT +Ġt ex +du ction +ED I +ĠT ed +_ URI +Ġre ception +art en +.S ingle +r ice +sc ious +_b g +Ġw ages +ĠS ervlet +UIL ayout +Ġform atted +.M od +< class +is en +Ġrepresent atives +"] = +Ġport al +ĠHun ter +Ġh iring +__ )Ċ +ric ulum +u o +li est +Ġt ears +L at +Ġliter al +.In sert +Ġc urs +ĠCom put +Ġterror ism +Ġswe ep +Ġ[] čĊ +Ġpass enger +Ġeast ern +Ġtwe ets +Ġoper ated +w nd +ĠS yn +.t ools +ĠW M +ul ates +Ġbacter ia +( bytes +.set Data +Ġvis ibility +// ================================================================ +el m +Ġgener ating +Ġm v +Ġk h +j en +/ search +Ġaccount ing +se gment +act ic +. ip +Ġdeploy ment +Ġfoot er +> ',Ċ +Ġexpand ing +ĠHam ilton +ĠCon trib +.T ables +Act iv +H H +ocom merce +_ ; +Ġamong st +ow ing +ĠC old +AP H +Ġpsych ological +_t ensor +Ġpack aging +ĠSw eden +Ġp are +Ġag gregate +Ġmoder ate +_h and +Ġdesign ated +Ġdr um +Ġget User +ĠC reek +_s cope +ĠTrans fer +ĠM arg +Ġfight ers +W nd +ĠS el +ĠLa unch +Ġemerg ing +if rame +ĠAdd itional +Ġf ears +Ġsat ellite +_ : +Ġdis posing +Get Value +Http Post +AT IVE +ul ary +View s +Ġatt ending +ĠT ennessee +ĠM ission +Ġmedic ation +ĠW y +ĠAn na +Ø ¹ +ĠVert ex +.t ypes +O rgan +.DataGridView TextBoxColumn +ĠR S +Ġtemp o +( App +Version UID +.p oint +ĠD utch +H ours +L U +Ġqu oted +.b uilder +ĠPer fect +ĠAl ways +_t wo +Ġexclus ively +ĠC ra +ific ar +ĠA WS +ing ham +com plex +k ernel +Ġgr avity +Ġw i +Ġover view +ĠW ant +ĠW P +( sh +. rotation +St ates +ĠTe en +_com ponents +ì Īĺ +Re ceived +Ġly rics +rit es +ĉĉĉĉĉ Ġ +-A merican +[ num +/ python +ĠU ART +Ġapp le +ĠJon athan +Ġmoment um +ภ± +Ĥ ¹ +Ġm ich +and ra +Ġbi ological +ĠM ens +Ġ% % +else a +ĠMex ican +.rand int +Ġt ale +ĠValid ate +Ġdefe ated +.ht m +Ġcop per += / +cos ystem +Ġr ip +dec imal +.V ISIBLE +ĠT a +ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉ +Ġdownload ed +en vironment +Ġnom ine +build ing +ĠSp ot +ipher al +Ġal to +qu et +ĠF T +/ get +/m aster +W IN +åħ ĥ +W est +arg c +Ġprodu cers +ĠM uch +_st orage +cred it +CON T +Ġv et +Ġvo ices +(' ', +Ġinstr uments +ĠM SG +es se +re pository +om ics +Ġdeal er +St ill +Ġb anner +asc ii +Ġrem arks +[ js +Ġshort er +g ulp +Ġmyst er +Ġk un +ĠB ird +Ġti ene +n ut +ĠU m +Ġw ise +Y eah +INE SS +_b egin +- heading +C ourse +Ġ čĊčĊ +omb ie +grad ed +ĠG PS +Ġ że +F it +c aption +ö n +/ image +l ia +(m od +Ġle ak +en za +/ H +ĠH appy +D ist +n x +ĠGovern or +(l ast +te acher +ĠS ent +s upport +ject ory +Ġ Ùħ +Reg istration +ĠGr ay +, false +Ġadjust ed +( settings +< R +ĠM age +Ġpl aint +_ )Ċ +ĉ it +omet ric +. bootstrap +Ġcar ries +I p +Ġ! $ +Ġswim ming +ĠMar io +ĠQuest ions +P ACE +æĸ ¹ +e or +}} " +Ġo ven +ĠK on +Ġwis dom +Ġac quisition +ess ment +ag ine +Ġexpress ions +Sequential Group +F ront +ul pt +aw k +'] )ĊĊ +_ AR +Ġanal og +ul in +_PR INT +ĠL G +Ġb lob +ĠFurther more +_com ponent +ĠC ole +L AN +SCRI PTION +Ġl ap +icens ing +_TIME OUT +ĠF ro +Ġli ability +Ġcom posed +.create SequentialGroup +_p erson +Ġbe am +ĉ ĠĠĠĠĠĠĠĠ +ĠNot Found +. 'Ċ +ÃŃ s +.Text View +P DF +Ġk ar +__ (' +Ġ" :" +_m essages +Ġhar vest +.h istory +> 'Ċ +-f old +æ Ĭ +ĠBet ter +Ġ"\ < +sp acing +Ġfurn ished +os er +] }Ċ +Ġ$ " +p ull +.P ost +( ip +Ĺ ı +.f ront +nt e +ĠF M +g uid +Ġnegot iations +agon al +Ġtrem end +unge on +Ad v +car ousel +ÃŁ e +_DE SC +Ġham mer +áº Ń +ĠĠĠĠĠĠĠĠ ĊĊ +-c ore +-s ervice +Ġcorn ers +ĠS F +p red +> A +ĠJ Label +Ġrom antic +Ġtestim ony +os c +ĠGener ation +as ures +_int ernal +Ġprint s +Ġ] )Ċ +ĠC leveland +re po +D isc +Ġ" >Ċ +�� �� +Ġne arest +_t b +( require +EO F +- child +Ġbu dd +.Xtra Editors +alt ies +\": \" +W ords +Ġloc ally +Ġpurch ases +Draw er +ex tract +Ġexec ut +} '. +user data +Ġfocus es +-min ute +ĠP ublish +og o +Ġmount ains +B ot +} >{ +Ġt ension +ro d +m esh +Ġtransform ed +, R +() }Ċ +.l ong +Ġg orgeous +ĠS chedule +Ġol dest +Ġsub process +( IN +y ect +ĠCo oper +arn ess +ĠMon itor +.p art +ĠN BC +Ġc otton +Ġh ol +Ġrg ba +ĠB io +Cont inue +P od +Ġparticip ating +clus ions +(By Val +à ¬ +ĠH OW +_set opt +Ġaccompany ing +at on +Ġ/ \ +ĠAuth entication +i én +ĠBar ack +/* . +Ġe ager +ĠC ancel +< lemma +ep h +ĉ window +Ġinc idents +), ( +.D es +ib e +ĠFunction s +Ġhosp itals +Ġo xygen +root Scope +Ġd rew +ĉ request +not ice +ak u +am ents +f ar +Ġprec ise +_w rapper +Ġlisten ers +A Z +.b ounds +ĠA verage +field set +_ axis +Ġexam ination +' .Ċ +mon s +++) {čĊ +ĠForm s +íķ ľ +Cpp Method +_tr ace +Ġengine er +ĠFl at +Ġrev ision +Ġhe ating +/ profile +.r u +p riority +Ġin fer +_ST REAM +Ġ* )( +> $ +OLE AN +OK IE +IB ILITY +U AGE +ĠSur vey +Ġres ign +w ing +Ġsecre ts +Ġch ips +JSON Object +Des ktop +_SY MBOL +(res ource +ĠĊ +Ġnew est +ul i +Ġdes ert +Ġd ip +ĠP ow +Ġequ ation +Ġposs ibilities +ĠF ed +os ph +Ġ[ % +Ġb ubble +ether lands +Ġc ement +. auto +_ AN +âĢĻ . +se lection +ĠB ond +D en +- O +.get Type +.W indow +p res +Ġsw inger +" })Ċ +Ġp ip +Ġm ice +Ġcomp ound +- plugin +ik o +Ġcent uries +ic ular +-in line +ĉ key +> \< +EN SION +Ġ[ čĊ +Ġprecis ely +Ġét é +ĠP ast +ĠCam bridge +-f ull +Ġanaly ze +ĠSte ven +Ġn em +d ue +ore n +Ġmus cles +ij ing +/ - +ĠKenn edy +R M +oss ible +Ġact ress +Ġd olor +å½ ķ +Ne ed +.t oggle +ĠR ace +w ers +.m aterial +ĠD ue +ĠP el +# print +Ġindepend ence +ex us +Sh adow +Ġenc oder +( level +ĠSw ift +.d oc +_se lection +Ġserial VersionUID +Label s +Ġperform ances +.T ag +ĠN HL +iz en +/ UIKit +_CONT ROL +Ġearn ings +ĠAl t +_H ANDLE +C tx +Ġpers u +Ġtr an +ç ¨ +_CH ANNEL +Ġsatisf action +ĠG P +io x +m itt +land o +Ġp ig +inal s +ê ncia +S urface +ĠU UID +Ġbenef icial +Ġsequ ences +ĉmem set +Ġmag ical + « +Ġw orn +AS C +pop up +COM P +_b efore +en ess +U i +L es +.re quire +.Serial izable +add Gap +Ġauthor ization +.py plot +urr ay +lat itude +fr ames +aj s +Ġcomp ass +Ġobserv ations +_s up +.en viron +Ġtri ple +ĠRub y +Ġdr ain +_F ILTER +S an +UM P +Null Exception +ĠG ab +ow e +ĠTurk ish +_se quence +ĠGr ant +uel a +Ġw o +Ġc ube +i q +Ġdis orders +Ġextra ordinary +Ġc trl +ĠSe q +ent r +Ġsan ctions +uts ch +Re ports +Ġin herit +Per iod +Ġphot ography +ĠF ramework +Ġspecial ist +Ġ? ĊĊ +_ selected +.P layer +Ġal location +( account +Ġstruct ural +v able +- offset +.App CompatActivity +аР¼ +.Add WithValue +Ġicon s +Ġshut down +_l ow +ĠCom pare +ĠC e += head +l am +.p redict +_DE C +ĠS leep +ĠGr atis +Ġsuggest ion +ĠD EL +ca ff +av irus +No thing +ŀ ĭ +Ġwides pread +Ġmechan isms +Ġtext Align +occ up +ĠR ail +: NS +Ġf iber +Ġm k +Ġv intage +-l ong +.re duce +. Entities +( record +Ġple asant +FR ING +.C ells +OT T +ĉelse if +_con firm +ĠView Group +s ym +Ġpr ay +Ġsus pected +Cont ains +Ġb orders +Ġcomponent Did +ASS ERT +Ġinf inite +- order +Ġh ello +ĠGr ade +.currentTime Millis +apol is +z h +ĉ Object +: \\ +H O +val uation +Ġvoc ab +Ġcou pon +atab ases +.Get Type +L earn +] =" +ĠG ary +ot ive +Ġas h +Ġb ib +XX XX +Ġbal anced +VAL UE +ĠN at +_A d +< E +åĮ º +ĠMethod Info +L IB +Ġconsider able +ĠInd ustry +test s +.set Title +ĠBl uetooth +Ġm apped +ĠBru ce +ĠMain Window +ĉ status +Ġr az +ĠM and +Ġclass ification +Per missions +Ġ---------------------------------------------------------------- ------------ +Ġcontain ers +: set +_x ml +Ġwh ilst +Th rough +Ġval ign +Ġworld s +C ORD +ED IA +ÑĢ ов +Ġsp are +ĠH ad +ĠDE F +(p tr +Ġwarm ing +ठ¾ +Ġcons ensus +ag ne +CT L +Ġì ķ +.M ain +web Element +Ġp ist +Fl ash +App end +.tw img +T ap +Ġveget ables +al g +.s ample +Ġcoach ing +( ind +Cell Value +Check Box +ĠH ell +RO OT +Ġst adium +Ġinvestig ating +) % +st ed +ĠW riting +Ġê ² +Ġun o +Ġ{{ -- +Ġco ords +Ġun ser +organ ization +ĠCr ime +ĠDemocr at +Ġv in +/ file +- api +ĠA y +Ġfund ed +ĠBre xit +ĠG h +ent ina +c ases +Ġd ash +Ġ!! }Ċ +H I +Off ice +Ġcapt ain +Ġwor ship +\ C +Ġglo be +_ board +Ġbab ies +Ġconsec utive +Ġenh anced +ere um +ĠAd vis +Ġgr ain +Ġc raw +ancell ationToken +. alpha +_W ITH +ĠO tt +ĠC ool +.b atch +Ġver ified +(c allback +Ġreg ards +ĠInt Ptr +ouch er +Ġk in +Ġtou ched +it Ãł +ath on +Ġadj acent +Ġaccom panied +LE AR +Ġim plies +Ġh ill +ĠBalt imore +=" - +Fin ally +S am +ic opt +Ġs od +Ġm aj +ĠSh ipping +Ġget All +Ġcoach es +Ġdon ations +il ot +ĠT ar +c err +Ġbad ge +Ġmark ers +ĠR and +ais ed +iss ance +Ġexpl oring +uc ed +ĠIndones ia +Ġbene ath +Ġmagn etic +Ġm useum +match Condition +Ġdis rupt +Ġrem ind +ĠT M +Ġ/ >< +Ġf ool +Ġes k +.N ull +ĠD ies +_OUT PUT +_TYP ED +Ġpaint ed +Ġsoph istic +ĠB ear +* n +_P ACK +Ġdeliver ing +ĠC OUNT +åį ķ +Ġj eg +-c ar +f name +Ġr anging +ĠN eg +/ ******/ +ĠCH AR +Ġul tra +Gr ad += t +Ġjud ges +ĠD ise +ann ers +Ġsc al +_c al +ĠCON NECTION +_ embed +(f n +ĠC raft +ĠP as +") -> +.con vert +.res ource +ĠST ATUS +ô ng +ĠT it +Ġclass room +ĠArch itect +ĠK ings +Ġstead y +/* !Ċ +ĠG ene +) ";Ċ +ic ia +st an +ĠCon struction +um per +w c +ĠC BS +ing ing +-p arty +(d river +M ARK +Ġn ested +ew ard +Ġdepend ency +Ġm ales +ĠO NE +ĠProdu ction +][ $ +ãĥ¼ ãĥ +_LO AD +ĠB ol +el ry +ł éĻ¤ +ĠRe quire +Ġpl acing +xx x +CA LE +Ġth umb +Ch oose +Ġprot otype +VO ID +Ġles bian +Ġtra its +Sh arp +Ġconsum e +Tr uth +Ġaction Performed +ĠEnvironment al +ĠDe an +Ġest ado +s ame +Ġnumer ic +Ġtrans it +. Email +-s ide +_R UN +ĠVill age +_OP EN +è ¦ +.re m +-w arning +any a +Property Changed +Ġ(! _ +( check +il ia +ĠSo ft +st eps +ĠMad rid +Memory Warning +Ġhand lers +Ġexperi encing +Ġins pect +button s +Receive MemoryWarning +chem y +Link s +Ġur llib +.System Colors +ĠE igen +Ġpun ishment +:UI Control +bar a +- set +Ġ}čĊčĊ čĊ +Ġtoler ance +Ġinter faces +. redirect +ighb ors +cs rf +_back ground +. Utils +_H T +ĠInter est +im os +Ġgr ants +Ġexam ined +Ð Ķ +Ġc f +for ge +back s +ĠObject s +_s ent +. entry +ĠTH EN +ell ido +c ia +, res +/std c +. nd +( Int +ĠAuth ors +ĠApp CompatActivity +' { +Ġmed i +M usic +ig m +ce ipt +Ġa uss +Ġtarget ing +ĠKe ys +h n +: ]Ċ +Ġmin eral +à ® +.c a +om ed +Ġshe ets +Ġc amb +Ġdead ly +.in ject +( unit +ĠSe lection +.g ms +( connection +Ġ$ (" +é mon +ĠCurrent ly +pt e +_path s +le af +Ġimp lications +pos al +ä½ į +[ / +anc ia +é Ľ +m ul +c ie +Ġge ile +im als +UI View +Ġs urre +serial ize +IS O +Ġarbit rary +Ġsock addr +.f n +ĠM erc +Ġcast ing +Key Down +Ġnew Value +op ens +T odo +Ġflex ibility +ĉĉĉĉ ĠĠ +V elocity +ú n +row ing +Ġcomput ed +` )Ċ +st atement +Ġr i +_c art +L ow +trans fer +.n av +Ġgr ave +ĠDo or +ĉ alert +.sub scribe +- profile +ĉb ase +ĠâĪ Ĵ +__ ĊĊ +Ġengine ers +Ġexplos ion +Ġd ari +ĉ Log +on al +Ġisol ated +{ i +ĠM sg +F uture +Ġrac ist +-w rap +ĠV ers +b org +IS ION +Ġ ÑĢаР+ĠY an +init With +Ġn omin +( empty +ÃŃ n +ãĤ ¤ +ĉ width +Ġch amber +/ ajax +EM P +Ġnec es +iv os +log ic +*) & +cript s +Row At +ib lings +Ġe ars +Ġcomput ing +Ġm aker +ĠNe ither +b readcrumb +Ġserial ize +ĠWith in +Ġd ell +_TR ACE += a +Ġwish es +-in ch +ĠD or +Ġinnoc ent +ĠD ol +Ġint ens +for ced +ĠB IT +Ġphotograph s +Ġcas a +ĠL en +\F ramework +.S imple +Ġde ar +)/ ( +ip pi +Ġown s +Pl ayers +Ġpropos als +.p i +us alem +D amage +Ġcal ories +ĠCreat ive +Ġ[ $ +Ġ// čĊ +And View +è me +.c ustom +_f actory +command s +_lo ok +Ġstr cmp +Y N +a ired +Ġaud it +о ÑģÑĤ +ĠRe verse +ropri ate +et ics +< vector +.s elenium +. or +Ġpred icate +Ġfinish ing +Ġk le +ĠRep os +ĠK han +ĠM aking +ĠF S +Ġp ute +ĉ state +_S UPPORT +' - +orient ation +Ġexist ed +atur a +Ġexpect s +ĠSh adow +Ġorgan iz +å ŀĭ +Ġsusp ension +Ġu it +Ġsimult aneously +ĠAff ero +: ");Ċ +Ġro cket +c as +eter mine +ace ut +x l +ĠA MD +( graph +ass oci +_C R +.ar ange +(j Label +Ġbe ef +Qu ick +.c ard +] ): +- gr +.G ONE +_C LOSE +ĠNe v +ÃŃ as +Ġste pped +ĠFre edom +ĠW R +NS Array +_r x +_d ialog +Ġhot els +Ġ( \< +ĠD iamond +Ġassum ption +um i +( items +č ččĊ +æ³ ķ +Ġn el +Book s +åİ ¿ +us b +ĠF IN +æ ¬ +Ġcorpor ations +US A +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +.p roperty +ew ise +_ plot +"> ';Ċ +Ġpe pper +Ġsh ed +ĠMed ium +ĠC ookie +Ġoverse as +ed or +asure ment +åŃ ĺ +Ġ' .' +Ġph p +ĠPRO C +Ġexception al +( th +ĠJ et +Ġoccup ied +.set Image +ĠRel ated +uck er +M embers +PR INT +ĠG lo +_V IEW +} ",Ċ +Ġad option +[] )Ċ +ĠMiss ouri +ĠLin coln +eral d +Pop up +Ġf ate +- bootstrap +fe ctions +ĠP oll +_ARG S +in ance +-h ome +. ), +_d one +: ĊĊĊ +Ġdiscuss ing +ĠSQL Exception +Ġelect ro +ĉ req +Ġz w +Ġl ui +Ġover night +$ user +ĠW AY +Ġall erg +Ġdisappoint ed +Ġradi ation +Ġimpress ed +ific ates +Ġto b +CL ASS +Ġc uda +_d et +- post +ul u +Trans lation +-h and +.y ear +ĠM ongo +Ġun clear +. engine +WEB PACK +r ices +_AC CESS +Ġh olidays +per cent +.Id entity +ĠG ov +Ġpassion ate +!! . +ĠGree ce +plus plus +')) ; +G P +Ġexc it +.tab Page +_ cond +Ġspons or +M ODULE +_pro c +Ġ$ Ċ +Ġr ational +.T ool +Ġi hr +cc a +åĵ ģ +ĠE state +IB UTE +Action Performed +ĠS olar +¦ Ĥ +Ġequ ity +t id +Ġrec ip +.s imple +m k +ĠL uke +ĠGuard ian +Ġenc rypted +Ġdomin ant +. place +ĠN V +Ġtong ue +( Get +Ġst ainless +.P lay +Ġe b +ac i +.b uffer +readcr umbs +Ġvacc ine +p rom +Ġuser Info +Ġsl ug +Serial izedName +-w ide +Ġre actions +ĠY ang +ĠAdd s +(user Id +Ġpl ates +ĠM EM +Ġb ail +In side +et ed +Ġels if +Ġs ake +Ġc ycles +Ġì Ĺ +ĉ I +-c ollapse +ĠG MT +De claration +Ġg ros +Ġreach es +Ġcust ody +Unt il +t u +ĠCh en +Ġn x +( addr +ĠO ffer +Ġcol leg +ass ador +Ġm apper +ĠS IGNAL +ĠB loom +ĠH oll +ĠIm per +-d es +_s ite +Pro c +E qu +Ġat omic +ĠW oman +s ent +sc ar +Ġint elligent +ĠGet ting +ĠReg istration +ĠPh ill +Ġkill er +unic ode +Ċ ĉĉĊ +ĠJac ob +ĠCon st +Ġloc ate +Ġca us +ĠSch olar +Ġconstitution al +Ġinfl ation +ĠG ot += array +end um +Ġtransl ated +Ġdiv orce +En tries +Ġs or +ĠQu ote +irl ines +U K +Ġexc el +( opt +ĠAD V +,: , +Ġcontact ed +ĠD A +Ġr ings +ĠIndust rial +.get Context +Ġforg otten +ĠT an +Ġp ants +Ġo v +Ġdec oder +ĠPart ial +Ġv c +Ġbatt les +A rial +FRING EMENT +ir ates +, w +aint enance +ĠO d +ĠTechn ologies +åī į +ĠCar ter +.find All +N ome +B en +ĠUs age +ĠP icture +Ġbad ly +_p anel +Ġpat ent +ĠProt ocol +lot te +ĉ player +je ctions +Ġd ou +_re lease +urn iture +_t ax +ĠF ields +.d ataset +_m aster +CLU DE +ĠPh arm +b st +Ġoper ational +.c ell +Ġident ifying +Ġj wt +t uple +ĠT C +ĠC ro +ix map +- components +gener al +Ġo z +_D e +_d ouble +ĠTo o +.View Group +g ate +d ings +ph otos +Ġgrand e +ol lect +_l in +Ġaw ful +f ilters +Ġaltern ate +es p +Ġcomp ress +e o +ĠS cale +Ġind irect +Ġinv oice +ĊĊĊĊĊĊĊĊ ĊĊĊĊĊĊĊĊ +Start ing +ĠPl ayers +ie le +. then +Or d +ĠT uple +Ġb out +ĠStat istics +Pre view +Ġp uzzle +ĠW idth +ST ATE +Ġover lay +ĉ on +Ġin fr +Ġsm allest +lock ed +ÑĤ о +ss l +Ġde emed +Ġs co +re ck +Ġj Button +Ġmiss ions +ç§ ° +.Selected Index +T ABLE +Se pt +Ġacknow ledge +Ġstrt otime +ĠT ell +ĠD ak +Ġal uminum +Ġf ence +ĠSt ars +CON FIG +Ġretro fit +Ġemph asis +/ header +ĠS omething +in ished +=' ".$ +ĠValid ators +Ġpol ar +section s +.as px +Ġas pir +.M ock +Code Gen +Ġpe ut +Ġaccept ing +Ġback ing +P icture +/ ap +еР³ +_SE C +- use +annot ation +Ġcogn itive +Ġg rip +h our +ĠLeg al +Ġep ic +.t oolStrip +.not ify +.L ast +OR IZ +M iddleware +cri ptions +l ash +_F OUND +ĠLiver pool +Ġ{} ", +Inst all +Ġn it +Ġfig ured +[ len +.W in +.pl atform +Ġgam bling +(d t +av ery +ĉ include +Wh ether +R outing +Ġther ap +Rem ote +ĠL oss +y ll +Ġappro ached +ĠV ehicle +ĠAl pha +Ġvoc ê +ans wers +NS Dictionary +cons ider +un used +ĠF an +or able +f re +ĠDIS CLAIM +ĠAct or +. ] +to Have +.user Id +Ġspeed s +ew ay +Ġrec urs +ĠÐ ³ +_pr iv +! âĢĿĊĊ +Ch oice +Ġsett le +Ġplan es +' }, +T om +IT ER +! "Ċ +å » +achel or +Ġsepar ation +Ġd al +ad j +Ġreg isters +r iz +ĠNot ice +Ġl u +Ġcour age +Ġax es +cell ent +.as ync +Ġcompat ibility +ç « +Ġ! ĊĊ +ĉ title +Y LE +ĉ message +U UID +OLD ER +ĠH H +ĠStyle Sheet +Ġaccess ed +. validation +t asks +Ġpoll ution +.c anvas +Ġing redient +ĠC abin +A h +old own +ĠNO I +ĠÃ Ĺ +[ f +ed uc +y alty +(n ot +_ State +am en +Ġda o +ud ad +ell ers +} & +lic ity +_W INDOW +Ġt atto +val or +.R ange +Ġrefer enced +ĠRes erve +M oney +SCRI PT +/ product +cho ices +Ġt in +ãĤ ĵ +Ġsepar ator +Ġp kg +am med +ĠM AT +! !ĊĊ +Ġr aid +Ġmotiv ation +ĠX P +ĠBack ground +ĠQu aternion +.define Property +ik er +ĉp arent +ĠOrigin ally +ant age +ĠH ans +Ġtim eline +.c ur +op ic +ĠSe qu +m ust +ĠCo al +Ġform atter +_R GB +Ġ_ (" +'} ),Ċ +Ġ= ================ +ĠF UNCTION +Ġl ng +ic ates +l ive +_ engine +Ġtown s +')) ĊĊ +ĠP K +( api +ĉs canf +pack et +.ph one +á Ģ +ĠAnd y +_N AMES +PL Y +Ġmin s +im i +Ġbr ick +Ġbl ade +.std out +}` ;Ċ +Sh ift +ĉs b +ĠCheck s +Ġphenomen on +Av atar +Ġmin istry +ro se +ĉ File +Ġtit led +( LOG +Ġg an +des ign +(), čĊ +Ġb ones +st m +ÅĽ Äĩ +ĠInput Stream +Ġvol unt +ĠSerial izable +Ġfight er +ĠDr ag +T witter +Ġsubs id +ç ¼ +Ġfor ums +.load ing +log ged +_ this +Ġterr ain +Ġir re +ĠIn g +ĠC N +_object s +. uid +Ġconscious ness +T INGS +ĠG all +Ġport ray +ĠDevelop er +Ġparticip ant +Ġ" ;čĊ +/ model +ĠOper ations +^ \ +ĠL ater +Ġrais es +-n one +.m eta +=' .$ +Fin ished +Ġrepl acing +Ġsam pling +ĠJ en +" There +RE AL +A LE +ìĬ ¤ +Or ders +_param eter +ĠOlymp ic +Ġtr ès +Ġare na +i ol +; ?> +Ġimpact s +ĠW S +: get +Ġfl ights +ĠRuss ell +c amera +F n +s igma +Ġfor cing +Ġloc als +Ġdepart ure +Ġcelebr ation +ĠS ay +ï¼ Ĵ +ĠH ills +.has OwnProperty +Ġtyp ings +.A PI +Ġdon ation +Operation Exception +.Act ivity +c plusplus +ĠChar lie +Ġimport ed +Ġd ann +Ġoccas ions +Ġimplement ing +Ġpur ple +.d ialog +SQL Exception +ern o +Ġw ars +Ġpast e +Ġdecre ased +Ġhar sh +Ġel abor +input s +ĠView s +Ġerror Message +_m ul +ĉ write +ĠC op +ĠAnn ual +(b utton +Ġv ida +b ars +ĠHar vard +ĉex pect +Ġindex es +Ġdocument ary +Ġf lesh +OR LD +ĠD elta +M AND +Br ush +-c olumn +Ġdevelop ments +method Visitor +s lice +ĠP DO +Ġinvest ing +ir able +Ġxml ns +ï¼ Ľ +art a +Ġthe ories +_c ity +Ġ$ __ +Cre ating +( pr +D ropdown +ism atch +ĠN ET +'] )){Ċ +ĠVal ues +ĠSE O +ĠST AT +Ġe cosystem +Ġtem pt +Ġ\ \ +Ġ// {Ċ +ĠChrist opher +ĠKent ucky +ĠHttp ServletResponse +Ġhy brid +y on +Ġfeed ing +ĠEx tra +N orm +IT CH +ĠSe an +ĠUp load +m un +p ur +Ġp ersistent +ĠID C +ĠPer form +.m erge +_ room +Mean while +! =' +ĠW el +Args Constructor +.D atabase +Ġcount ing +() * +Ķ åĽŀ +ĠT OP +m ill +ĠD T +IGN ED +ĠK B +Ġcomp ly +S outh +_c ollection +Ch apter +Ġexpl aining +_ AM +_t s +c ards +Ġqu el +Ġp ole +Ġtouch down +ĠO thers +Ġpe ers +ĠType Error +Ġsix th +Ġche er +Ġdis pute +us c +) ], +th umb +Ġh iding +ĠS IG +lik es +ĠP AGE +.Ref lection +Ġhead quarters +T ING +ĠG host +M LE +$ Ċ +Ġcontr ary +ext end +'] ). +FF ECT +ĠP interest +úmer o +ric ane +ĉs ession +Ġcr ystal +- Control +overn ment +og raf +- action +v olume +ft en +Ġun con +Ġan imate +Ġle ase +sc r +Ġref use +ãĢ ĭ +ft p +in formation +Ġeval uated +Ġin jection +Ġj ack +Ġwork shop +æ³ ¨ +PT H +ĠT s +off er +ĉ os +Ġking dom +M issing +Ġlaw makers +ext Field +Ġsing ing +ab i +/ client +.m edia +ATEG ORY +Sign ature +% ',Ċ +ĠF uck +][ : +Ġsens ors +/ com +ĠPr imary +.S QL +_pro gram +Ġp ills +Ġinteg ral +Ġfle et +Ġdro pping +.s l +Be en +Ġp ets +Ġadvis ed +Ġdr agon +_ EDIT +( im +F ER +ĠDr ug +(r andom +Ġcomp ression +ou st +[ % +Ġbuy er +h op +R oles +man age +Ġpain ful +ĠBr anch +-mod al +en ant +ĠM esh +/ font +ĠG raham +Ġâ ĺ +Ġn c +ĠFranc is +Ġspec ification +Ġdam ages +- config +Ġthe oret +sec ure +_m ulti +aceut ical +Ġdemand ing +en ne +IST S +() ));ĊĊ +Re ason +Re cent +ph ase +Ġps y +_M AN +Ġvolunte er +å ¿ +istrib uted +li o +Ġproduct ivity +_com m +S pring +n is +. weight +ĠC ancer +Al loc +ĠT weet +Ġsepar ately +ĉ check +_p roperties +. Unit +_CL K +Ġg t +Ġ( );ĊĊ +Ġhand y +ĠThom pson +Ġunn ecessary +ĠRe ader +G N += request +ĠU tility +.Re pository +ĠA x +hy dr +ie u +Ġth y +Ġl t +_m ail +ä¿® æĶ¹ +ail and +ĠPhil ip +Ġbit ter +Ġbet ting +Ġtim ed +ock s +' a +Ġal gorithms +Ġre interpret +Ġto ss +ro gen +Ġhop ed +( selected +Ġvent ure +TE X +ĠLe ave +.Sub string +Ġgr ateful +uk a +ĠCon sumer +Ġag greg +C ircle +ภģ +_block s +Ġleg ally +Ġ" | +ãĥ ĥ +. board +.A b +Function s +rec ipe +è ĩ +ĠO xford +Ġwho les +.B uild +_ch anged +h ai +Ġdepart ments +I mp +Ġcoal ition +IN FRINGEMENT +Ġemp ower +itch es +N orth +Ġinfl amm +ON SE +Ġmiss ile +ĠR aj +ĠIss ue +Ġat oi +ca led +.Cont rollers +ĠW olf +Ġcrush ers +á» ĩ +.A uth +.add Attribute +h is +Ġbo ots +.c lean +c amp +Ġten ant +Ġt une +Ġ{} '. +Ġwork out +Re po +Ġpartial ly +MI SSION +j amin +ĠS B +Ġdetermin ation +Ġ' ');Ċ +ĠB eng +Ġv os +Ġin hab +/ lang +s burgh +Exec utor +h one +ĠCh allenge +_link s +.Le vel +Ġunder ground +-c ode +Ġoptim ization +log ging +_de st +Ġsn ake +Ġchemical s +_IMPORT ED +ado op +ĠTH AT +man aged +Ġredu ces +ĠRE AL +ĠG uy +_GENER IC +/ ******************************** +. amount +Ġd ere +get Time +Ġp ant +an onymous +Ġharmon y +ĠAl an +Ġscen arios +Ġd irt +ht ags +M c +Sh ell +r in +{ čĊčĊ +.p ow +ĉ client +Ġconspir acy +Ġad mission +ĠReg ional +ĠView Controller +ĠPhilipp ines +Ġde pos +Ġp ap +ĠP ad +P aul +.Com boBox +Ġt utor +ĠRec ipe +w riting +Ġcontrib utor +OT H +Sm all +V I +Ġh acer +e qu +ĠEx amples +h uman +.m essages +ĉt yp +Ġ( čĊ +ĠS SL +LE N +ĠRom ney +( grid +ĉ min +Ġ> ĊĊ +Ġfr uits +Ġvot er +In line +pan e +ĠC ollections +char set +Ġsp am +z b +item ap +Ġsucceed ed +_C OL +Ġel apsed +im eter +Ġrecover ed +T ensor +hatt an +.set up +ist o +( head +ĠS IZE +Ġtact ics +Ġdist ur +Ġpre val +ici os +( Value +_c ols +ĠF at +Ġse al +Ġs ons +Ġens ures +Ġpress ing += & +igen ous +Ġharass ment +_ JSON +Ġign or +yn omial +om er +_st atic +Ġsignific ance +Ġcirc les +_S ystem +Ġdiscipl ine +Ġdress ed +Ġs phere +Ġclim b +_ actions +ĠB ab +Ġ' =', +_s chema +" use +Ġund ers +Ġc ups +.s creen +/ new +Ġappe aring +T OP +vis ed +cl ang +Ġinvestig ators +Ġmyster ious +Ġprom ising +Ġqual ify +Ġc ave +Ġequ ip += x +G T +( link +. velocity +. erase +ot er +++++ ++++ +pro fit +Ġz ones +_ uid +- ser +Ġobject ives +Ġmil f +web kit +(m atch +ne h +ĠAssoci ated +ĠT odo += d +C am +Ġv ocal +Ġs udo +( EX +Ġtr ou +AB C +.b ean +ĠG round +ĠRE ST +we ets +In g +im on +_b us +ĠC OLOR +un to +Ġf oss +ĠLink s +ä ng +/ forms +pr ises +Ġachie vement +C ALL +ел ÑĮ +ĠVer ify +_S OURCE +apt cha +ID D +_re ference +G old +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĊ +Re ceiver +Ġa j +_d irection +} ] +ĠCom pet +Ġb ang +ĠC ass +- url +te chn +ĠJer usalem +long itude +' );čĊčĊ +Ġwin ners +T asks +ĠD MA +Ġtool tip +İ · +ĠB ra +_d uration +cur y +parent s +---- >( +ĠK ir +Ġint ros +Ġsk etch +Ġsk illed +Ġim mer +Ġade quate +_re p +( header +_ like +Ġper ceived +ss h +Ġassum ing +Ġf f +_u uid +ul as +Ġdemocr atic +. entities +S eries +aph ore +Ġnew er +} ( +SE C +ai ro +Ġcomm od +Ġprivile ge +Ġde ux +ĠH op +.' / +ct ic +. ';Ċ + C +ĠWar ren +Ġoptim izer +ĠSER VICES +_ oper +get Attribute +ĠMc K +_s elf +.r s +" )ĊĊĊ +Get Component +er ce +Ġt ous +un its +'] );čĊ +Z oom +/ E +Ġobs c +Ġfast est +on line +Ġpeace ful +ff en +Ġc argo +ĉ pr +Ġseek s +z u +Tr im +Ġw ard +Ġver d +Ġblog s +.exception s +ĠPrem ium +ĠN etherlands +S afe +Fin ish +ĠAl bum +_A CC += this +v irtual +] > +_L ABEL +ĠN ich +_w in +ĠA aron +W P +; $ +aim s +ĠImage View +Ġend less +ER A +_DIS ABLE +Ġcancel led +- us +Ġins pection +em in +ĠG rey +- open +Ġiter ations +. owner +Ġk eras +.P assword +ĠR y +ĠIN S +A ir +ĠSe veral +.Tab Stop +ING LE +ĠH air +ĠCan vas +AA AA +Ġfl aw +ced es +.Re port +í Ĭ +ĠT ips +cript ors +.trans action +.S pring +Ġview er +Ġins ights +è¾ ĵ +ord ion +U INT +se ek +ĠA uf +ìŀ IJ +Ġstr ain +To oltip +Ġd z +ign al +ad t +Ġu c +fin ite +Ġn m +.c md +ĠMy Sql +[ data +.j ackson +.t ree +Request Param +_ agent +") ]čĊ +Ġass ass +( Constants +: ss +ĠM AN ++- +- +ĠB ottom +print s +ĠS ame +@ Autowired +sw ap +ici ón +Ġprotest ers +Ġh oney +ĠV eter +(C alendar +- ad +ĠBrook lyn +L ife +_V AR +ze ch +ĠC ALL +_C AST +ĠE lection +Ġthick ness +V ery +_IN TEGER +- dev +)) )) +ap at +oo oo +d emo +Ġparse Float +ĠR ather +ST IT +m aker +[ current +chron o +Ġch rist +ãģ ª +ĠD etail +Æ° á» +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġs ul +id ency +Q ue +Ġeleg ant +ap ons +Ġdish es +Ġinteg ers +( read +find ViewById +ĠAm ount +ĠSk ip +Ġhab its +* )( +Ġmon sters +M AC +: end +Ġfr ank +As sembly +Ġd fs +Ġne ut +_TYP ES +e qual +loy d +( uri +Ġch i +Ġdefend ant +Ġconflic ts +Ġv il +- js +ĠPe ace +Ġmut able +) sender +ĠF ocus +å» º +Ġapprec iated +s leep +ĠR ED +C ulture +Ġdesign ers +_g enerator +c odes +/ ex +.Get Value +umb led +.scal ajs +per or +Ġveter ans +Ġ} )čĊ +Ġun fortunately +_C REATE +M ass +ĠCL AIM +ĠMe et +_s upport +B ank +() .Ċ +D ark +_LO W +ĠMin ing +ĠO wner +ier a +Client e +Ġencour aging +> S +Ġboy friend +ĠH alf +ĠA CC +A ff +_ ar +-l ife +c x +.J Button +iz ado +.z ero +.open qa +ot on +.text Content +Ġto ll +at ie +Ġball ot +- number +. Exception +ĉ params +c ircle +-m ap +Ġn ap +ĠRob ot +ĠI ch +reg istration +Am azon +roll ment +( exp +Ġt anks +ĠG ordon +Ġmach inery +Ġbas eline +æ ĭ +Ø © +ĠCon vention +ĉ config +ook ies +m ult +Rec ords +ĠE ST +Ġgar bage +Ġcon form +id al +Ġb arg +Ġsurv ived +Ġinvestig ations +.contains Key +---------------------------------------------------------------- ----------Ċ +ort ion +Ġhor r +_ http +Ġm ant +] ;čĊčĊ +b inary +em pl +Ġin quiry +ĠMean while +Ġcollect ing +.Entity Framework +", ĊĊ +ĠP ic +@ Inject +ick ness +ĠB inding +Ġcont rolling +re verse +Ġch airs +semb led +( add +Dis abled +an as +.trans late +-------- ---Ċ +Ġref lected +"] ĊĊ +Ex ternal +Ar row +Single ton +% x +Ġ Å +Ġan cest +ĠOr leans +ĉc md +Ġprohib ited +ith metic +(ch annel +_c ss +For ward +.s ocket +Ġl uc +â Ĩ +ĠFire fox +ĠM ovies +) _ +. ends +( shape +Ġde alt +Ġs aves +Ġgl ory +Ġmej or +Ġbreath ing +Ġ eller +get Data +Ġang les +Ġtool bar +Ġsp acing +IP S +Ġflo ors +_ACT IVE +Ġsh uffle +/ shared +ĠE le +ed ish +Ġweb cam +.ex pect +il oc +ĠIn cludes +Ġtweet ed +Ġ: ) +ĠEss ay +F ix +-b etween +_ web +.con v +Ġrac ism +Ġreflect s +um m +иÑĤ е +_f ooter +/d ocs +ĠP our +Ng Module +.initial ize +pattern s +_ In +ĠAb b +* čĊ +Ġsent iment +b uff +_count s +Ġre use +ch unk +Ġim posed +Primary Key +Fore ground +Ġconsum ed +? ! +Ġd ick +Ġch ron +ĠF ern +Ġrespons ive +Ġin sect +icult y +Ġr w +Ġal ike +Ġsub set +ĠCook ies +ĠP air +Ġt ier +IF O +av our +ĠQ U +, sizeof +Ġmerg ed +m v +it ol +yl on +Ġjump ed +. role +ens aje +R ules +Ġb rowse +An imator +Ġy oga +Ġvari ants +Ġcour tesy +ur an +p bs +else if +Al t +ĠL ane +CL K +IM ARY +_PRO PERTY +ï¼ IJ +Ġch an +Ġgrad ually +Ġsh ake +Ġbl onde +... ");Ċ +-se x +Ġgame play +ac ies +.ref resh +US B +ĠPl ot +W as +iss ippi +ĠT ensor +Ġcryptoc urrency +Ġdifficult ies +De leted +With out +_ append +_ ver +")) čĊ +Ġhonest ly +Ġp ivot +Ġtem ps +_p s +ĠUn like +[: - +V S +_in f +Ġjun ior +Ġanim ations +Ġfile path +? {{ $ +Ġun icode +pl aces +ĠC offee +.S E +ĠP AR +(t xt +ge bra +Ġf ires +Main Window +med ium +Ġ( âĢľ +Ġl g +Ġc mp +/ base +_l ayers +_ entries +Ġadmin ister +ĠSU CH +B P +ĠScott ish +ĉčĊ ĉčĊ +gu ard +ĠStr ong +In sn +ĠC AP +as ury +ĠSE E +C lock +er ie +\ models +Ġ$ $ +ĠC ab +Ġwur de +Ġsold ier +Ġcl ips +Ġarrang ement +ĠW onder +ĠH orn +Ġsc ared +Ġc ure +m kdir +Ġal igned +ĠP ink +Ġland ed +Dim ension +Scroll Pane +.ch at +.W ith +ĠTr ain +] .Ċ +Ġth irty +Ġdur able +Ġl d +Ġlate init +Ġch arts +Ġins ult +.F atal +_ ct +Ġm asks +CLU DED +Pres ident +Ġcol ours +g ments +.at tributes +ĠF lex +ĠC lock +ÃŃ cul +im en +J O +ĠReg ex +_L INK +Ġc ouch +ĠIN PUT +Ġbe ating +b usiness +pre ced +. unit +ĠF el +N ever +osp el +.start swith +ĠE PA +. only +Ġprevent ing +y er +Column Name +Ġelev ation +fl u +icy cle +Ġoff line +Tool bar +Ġcompet ing +) ]. +Ġm og +Ġis Valid +As k +_ av +_l at +AN C +ĠJ oh +k ers +Ġgu ards +Ġch ains +ĠSimple DateFormat +.st atic +Ġvess el +Ġm ud +Ġst abil +Ġst ret +g m +am ation +ç ľ +-w ith +Ġro s +_P A +Ġresult ado +Ġconf idential +ĠTok yo +ĉ using +ĠMath f +omb ine +ĠESP N +Ġdeal ers +Ġdismiss ed +TR Y +Ġte ens +rec ords +Ġw ings +g allery +account s +_L IB +Ġj acket +ĠNS Object +Ġst ones +ĠDel ivery +ĠD iet +/w atch +Ġto ilet +ĠG uest +.d ay +Ġint val +Vis it +Ġinvestig ated +Ġpent ru +ĠThe atre +andid ates +L ang +ĠS erv +Ġcont rollers +Ġset Title +N P +am y +fl at +( ui +_d ocument +è ĥ½ +ĠC oin +ĠAd ams +pt ic +Ġproduct ive +Ġaccompl ished +čĊčĊ čĊčĊ +Ġdefer red +ient es +Ġs inc +ol ars +Right arrow +Ġvari ations +( offset +.Layout Inflater +Ġsus pend +Ġprevent ion +_pr ivate +_ js +âĺ ħ +Ġw ieder +at um +Ĵ Į +Ġappear ances +.D ocument +Ġvalid ates +cal endar +} ";Ċ +.d emo +con ut +Ġcorre ction +ĠDe al +Ġbatter ies +.d uration +, \ +_m arker +m ulti +Ġh alt +Ġc ms +Ġsh aped +B ro +re duce +Ġ #### +CT OR +ĠBen ef +Ġicon ic +Ġp iano +Ġeffect iveness +| .Ċ +Ġa jax +Ġv olumes +ภ¡ +Ġcl js +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ +ath s +ra its +å¤ § +Ñ ĸ +_m ult +Ġfasc inating +A verage +Ġpr é +ĠChair man +.find Element +_p in +Ġcomp aring +Ġdark ness +-F i +- server +Ġselect ing +ster dam +ĠPart s +FORM ATION +Ġnot ing +Ġp ile +og s +Ġpa lette +_d o +it ize +() ( +Ġdef ining +Ġremain der +Un its +_T ASK +Http Client +S ocial +Ġfund ra +N R +ch est +C urrency +.ad apter +Ġd op +un ting +ANG UAGE +" He +ĉ index +_p ackage +.I con +Ġrep et +m ass +=" .$ +ĠS ud +Ġl id +pro vince +ì ľ +G PIO +Ð ļ +ĠMy SQL +Ġdoc s +ĠG A +Ġip sum +K ernel +Ġaccept s +Ġfit ting +Ġcu ando +Ġd uplic +ĠBro ther +ĠK le +num s +Ġmor ph +Ġ ######## +ĠCG Point +< unsigned +ä¾ ĭ +ĠD uke +.set Bounds +q s +or ic +j er +Ġregard ed +Http Request +Ġbond s +Ġthorough ly +enc ent +Ġhighlight ed +Ġac res +Ġwork place +ĠL ux +Ġqu ot +.in flate +Ġdocument ed +Ġadd iction +Ġmut ation +.c ity +Ġbott les +ĠRepos itory +on n +err no +ARI ABLE +åº ¦ +_B EGIN +gl as +' })Ċ +ĠMass age +ĠWh it +reg ex +W A +Ġout let +- head +Ġexp ired +ĠTh ai +/ include +grad ient +scan f +Ġse am +w al +ĉb uf +B earer +Ġprec ious +if acts +co ord +Ġexpl oration +.get Y +(h andle +Top ic +ĠV ent +r hs +---- --Ċ +ĠB right +Ġg uild +m other +st orm +Ġmunicip al +Ġin k +.T YPE +w l +... manual +ĠTechn ical +Ġcorpor ation +ĠH W +ank a +T AIL +ist as +Ġperform s +ĠBeh avior +.F or +_ ORDER +ĠK ick +Ġcallback s +_d r +ue go +h ub +uff icient +sk y +Ġb p +ht able +ĠON LY +ĠAUTH ORS +.Arg ument +" };Ċ +ĠTh under +ĠK om +.Sh ould +A UTH +ah u +_p ayment +Ġst arter +ìĦ ľ +ìļ © +B log +.p atch +Ġgovern ed +ass y +-f ound +Ġthe ater +ĠFont Weight +ĠBat man +" If +.R andom +_d elta +ĠC E +Auth enticated +Ġdr one +Ġc ous +r adius +M er +( None +ĠN J +_ headers +Ġam er +py test +ĠA ctions +ĉĉĉ ĠĠĠĠ +Ġet t +Ġh oly +Ġun comfort +ĠN in +ĠDec imal +ĠM essages +.s ender +] ])Ċ +Ġembr ace +Th ough +/ sp +Ġcult ures +Ġhigh way +t ar +.f ail +_h idden +ĠcomponentDid Mount +ĠW right +Ġj ag +_ il +../../ ../ +ig u +F ood +Ġa ce +Ġa ños +US D +Ġmut ual +Log ic +Ġtem ple +Ġbrief ly +ĠT rip +class method +default s +Ġch unks +,, ,, +ĠRe ason +$ id +-up s +Ġdam n +Ġtruck s +Ġun limited +Ġsc ulpt +ĠC ards +Ġaut or +ĠTest ing +Ġdies e +sh ops +ç ´ +(p ayload +ĠP ATH +ĠMem orial +Ġridic ulous +eg ree +-w inning +Ġre hab +Ġsophistic ated +wp db +ĉ path +! ";Ċ +_S YS +.s peed +Ġso ap +s uffix +W rap +Ġenh ancement +à ī +ú b +Ġplay list +Ġmix ing +ant idad +=" ";Ċ +ĠRev ision +ĠBe at +.in c +-w ay +enc ias +ul ers +C at +id el +ĠSh ip +.set Color +Ġthreat ening +.mod ules +Ġafter wards +ĠD ashboard +Ċ ĠĊ +Sign al +Ġpr imer +orne ys +ici ary +Ġl igne +_p redict +Ġa est +_ https +> : +ĠL ex +Ġrencont res +eg ral +sc ala +_f amily +ÃŁ en +_s ym +Ġuncert ainty +ĠVAL UE +Ġ} ;čĊčĊ +Ġbro ader +Ġh orses +ãģ Ŀ +ĠK al +ob a +_IN ET +ĠK ill +j query +am ination +[ @" +Ġm uj +## #Ċ +First OrDefault +then Return +C he +/ footer +Ġpark s +as je +ĠG ulf +Ġmod est +. Init +ï¼Ł ĊĊ +Ġpros pects +Ġs vg +Ġå ı +.D ialog +_N ET +Ġ( ($ +Ġe k +ĠW arning +ĠM K +< LM +Ġ' čĊ +i em +h etic +Ġi x +th ink +-sh adow +ĠE ld +ĠNev ada +ĠLe af +ĠG ROUP +Ġprom o +ent ine +ĉ Map +ĠModel s +ĠK rist +_k ernel +-m ade +Ġc err +As sets +ell ar +Ġinv oked +.v ue +Ġcult iv +C losed +Ġgener ates +ffff ff +thes ize +s qrt +ĠCast le +.c ar +Ġke en +und a +ĠC row +ĠSing h +y thon +Ġbe ans +l arg +æĸĩ 件 +Aw esome +unc ate +Path s +o ji +(c urr +CON DS +Ġm im +Ġshould ers +H ard +ast es +а еÑĤ +Ġconv ince +de cess +m ade +ĠC MD +. Im +Ġcha os +ens ively +Ġcool ing +Ġbur ied +(' @ +_S e +ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ +.com pany +.sub mit +ph ant +Ġboot strap +_h elp +à § +.d ump +Ġdif er +_m apping +Ġcirc ular +Ġescort s +Ġb ere +Ġgrad u +ĠLeg end +im edia +ĠBar celona +Ġbed s +åĪ ° +ãĢ Ĭ +_v olume +Ġtremend ous +Ġsc aling +Ġp ins +en as +type param +D ashboard +render er +Ġsp i +Ġ& $ +ĠSk in +alm art +Ġh ockey +Ġ'" .$ +Ġerr no +Ġb ew +Follow ing +.M odule +er able +ĠM ilitary +ĠR io +_ available +ĠSur face +Ġst ab +IF IER +ĠL IST +Ġd ashboard +Ġcl usters +.pl ugin +Ġj ou +ĠDec or +F our +Ġdel le +****** /Ċ +ia z +in de +ch ing +Ġget Item +.Add ress +ment ed +A meric +Pl ain +Ġus b +ĠPract ice +_ ment +.bl ue +H int +ÑĢаР² +Ġconn ector +Ġinher ited +и в +Ġinterval s +Ġc ere +Ġu d +Ġin con +.Ex ists +ĠM ic +F K +(c ard +.Set tings +Ġexhib ition +Ġon Pressed +Ġrest ored +eng u +. def +Ġrec v +." );čĊ +enc oder +ather ine +( dest +az ed +# endregion +sem bl +, M +ob y +Ġп еÑĢ +.C all +Ġattend ance +-b order +Ġaddress ing +ê n +ĠLe v +Ġb ash +ben ch +C redentials +Sp acing +( of +_RE SET +ig uous +Ġcr uel +Ġcross ed +Ġle ur +ĠG olf +or rect +Ġpack ets +ĠData Set +Ġpart ly +SEQU ENTIAL +Ġindic ation +ĠS alt +ac ia +Ġ* );Ċ +ĉ info +ĠView Bag +on z +Ġeditor ial +ĠA rena +Ġs ir +_ Static +( socket +s u +cho ose +.m onth +.M y +é ri +; font +do es +Ġcon verter +Ġsal v +Ġl r +Ġinflu enced +(f eature +ĠQue ens +let t +_M ON +& amp +Touch ableOpacity +O FF +Ġmetab ol +( iter +Ġvit amin +ĠIND IRECT +aut om +_p ublic +Ġadjust ment +Ġspecial ized +w indows +.add All +Ġaccording ly +ĠJ OptionPane +Ġcell spacing +Ġqu ad +Ġcre ep +Ġout lets +}` )Ċ +Ġpri est +_TH READ +ĠMar x +ĠBy Val +Ġc ual +éĿ ¢ +Ġtempor arily +An n +ke leton +å ¥ +ĠLO C +au er +der ive +Ġbeh aviors +as ename +ĠCent ury +Ġhor rible +ME SS +_ List +we i +P at +ĠCh oice +_F ROM +ĉ line +.in voke +.B ottom +Ġnow here +." ĊĊĊĊ +_ export +Ġstrugg led +.Ap pearance +ĠJ Button +ĠJer emy +([ [ +Ġkick ed +mar shal +st aff +es ity +Ġqu iz +_e ffect +Ġ} ));ĊĊ +m el +b anner +ĠP IN +Ġin vention +Ġcons olid +Ġop s +ĠB etween +j ack +ern ational +Ġsacr ifice +ag ation +ĠJ oy +Ġam endment +ĠS old +Ġprison ers +ан нÑĭ +Doc uments +) ])Ċ +ust ed +ĠLine arLayout +os o +_E M +.s elf +.M iddle +) // +Ġ\ ' +Ġfuck ed +ĠM urray +Ġprof ound +_E LEMENT +ult a +il ers +port folio +J une +t cp +mod ified +ĠTr ace +ĠK el +aly zer +) => +ĠRep air +_B E +Br and +u art +pre view +Ġiniti atives +run ning +b ang +ĉ update +ĠCo ach +R ich +Ġy outube +Ġrit ual +app a +ĠRobin son +prec ision +//////////////////////////////////////////////////////////////// //////////// +=[ ]Ċ +Ġcelebr ated +OT O +Ġin clusion +J P +' ;čĊčĊ +Ġnot able +(_ . +Man aged +Ġgu ides +& nbsp +ated Route +ĠAd just +Ġcol ored +_s cores +ĠTes la +_pro gress +.in st +[' _ +.fl ags +Ġf close +_O PER +ż y +_n ote +Ġtrans gender +å ķ +RI PT +Ġabs ent +Ġam et +Ġoper and +ë © +Ġh ood +to LowerCase +av o +ĠCirc uit +ĠL ind +-- }}Ċ += m +Ġsup press +ĠM AP +i ang +- admin +Ġside bar +ĠB u +ĠH ex +, F +ĠSign al +Ġtrans parency +ĠFeder ation +/ V +Re q +Ġpul se +Ġt ends +Num bers +% ' +Ġde port +dat as +_U INT +_ tra +ok o +Ġ" ? +comp et +sole te +und ry +Ġover lap +}` ,Ċ +. ly +_sum mary +ĠL ost +.C enter +Ġdis ability +.Serial ization +Ġge om +Ġ? : +ĠW o +Ġsh ipped +Ĥ æķ° +Ġu gly +Ġexcit ement +Ġext erior +Ġcheck out +Ġk ur +, D +ĠAl aska +Ġsyn thetic +ĠB udget +ĠSub scribe +Ġ& Ċ +ÈĻ i +ĠY u +ĉ query +} .Ċ +Ġtr aged +ass en +Ġaccommod ation +Ġphys ician +Ġren amed +Ġtid ak +z Äħ +Ġmin us +ny ch +_EX CEPTION +thread s +Ġt ire +_c reated +ens ure +Ġworth y +Ġexc use +Ġclo th +.parent Node +/pl atform +ĠU FC +ĠG tk +un ny +Ġg ibt +ke ley +h um +(t x +ĉ dev +Ġout fit +do ors +Ġf on +ic ut +vol atile +Ġhom osex +Max imum +Ġexp end +Ġ});ĊĊ Ċ +E q +ond ers +dep artment +ĠPhys ics +" });Ċ +Ġpar ad +.S tr +Ġse le +IF IED +Ġdel ivers +iv an +Ġrespons ibilities +Ġadvoc ates +è µ +ĠR ID +.param eters +M etrics +ron ics +ĠUITableView Cell +A bsolute +ip se +yl um +MLE lement +_VAL ID +< title +D lg +p aces +Ġsynd rome +be ans +_d atabase +oz illa +ĠM eg +DB G +Ġl ub +Bag Constraints +ab ad +Ġproject ed +_BY TE +.Size F +st reet +ĊĊĊĊ ĊĊĊĊĊĊ +ĠLO SS +Ġdirect ors +/ news +Ġnurs ing +ĠD one +. HTTP +dis count +ĠR ot +To Many +Ġen abling +Ġauss i +ost a +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ čĊ +è½ ½ +Ġhel icopt +ĠIn side +ä¿¡ æģ¯ +is per +ĠAll ah +ARCH AR +Ġroll s +Com pare +X P +Index Of +S UM +Ġass ured +ĠPhys ical +End point +.G lobal +.d etail +Ġthe ft +.j upiter +Ġhum or +.R ender +A lex +.c ap +Ġbuff ers +Ġdis pose +t ion +.p resent +z el +, P +Ġdesper ate +.get Column +Ġtw in +ì ĸ +.c an +Ġf lee +ĠIran ian +Ġstick y +ĠU TC +L T +//////////////////////////////// //////////////// +Ġl icensing +_PO INT +ĠM aps +Ġl ol += models +-t ab +ĠN ash +_log ger +tor ch +ĠCON SEQUENTIAL +Not Empty +/ react +Ġp f +Ġassert ion +Ġsubsequ ently +_c an +Ġpand emic +og ue +"+ Ċ +_ ent +_P aram +.ĊĊ ĊĊĊĊĊĊ +Res earch +C apture +Ġbel oved +d em +Ġextract ed +Ġf ights +ER C +(a uth +position s +Ġrevers ed +(st ack +Ġ_ ) +uto ff +_fl ow +ç Ĥ¹ +( Game +Ġex cluded +ĠCS V +c g +ĠT itan +p ause +Ġcer ca +Ġdump ster +L ess +Ġkotlin x +aster xml +Ġpoint ers +Ġfl ows +ĠT un +ĠMain Activity +Ġdis cret +Ġcomb inations +vis it +_b ind +oot ing +d ater +_look up +.n io +Ġswe at +ĠR d +Ġscient ist +ĠP ixel +@ NgModule +Play ing +Ġunf old +Trans late +ĠLaw rence +ĠFIX ME +B ill +ĠR IGHT +Ġwhere ver +Ġo ok +vid ence +Ġ] ]; +ĠSk ill +unist d +ĠðŁ ĻĤ +Ġfem ales +-- )Ċ +İ· åıĸ +ĠF red +Over all +Ù Ĥ +Ġess ence +Ġthere by +Ġw ounded +ĠD OWN +les son +text ure +R ound +Ġautom ated +ĠÐ ¡ +ĠUp dates +Ġsh ade +p ublish +ĠG ear += lambda +Ġle ver +) +" +h ill +Ġrad ar +ry ing +Ġ" ). +f illed +Ġline up +Ġd l +Ġworks pace +V o +_d t +ë ² +_ Item +NS URL +. verify +ĠHawai i +G od +M arch +Ġ[âĢ¦ ] +Ġpel o +ur ious +ĠPitt sburgh +. It +C lean +> \<^ +Ġi os +s ound +"] ; +Ġfre ed +rot tle +ĠL ower +[ count +å Ŀ +Ġp ale +ĠWay ne +ear th +_c ategories +U CK +.m etadata +Ġsum mon +H OME +олÑĮ з +Ġmanufact ured +Ġdo ck +Ġcompet itors +_MODE L +ok ia +ĠH ey +Î ¿ +Ġback ward +ĠPO SS +rop a +Ġc ri +_O BJ +Trans port +-h igh +Ġerot ik +_s lot +Ġart ic +_f ramework +-ser if +ĠSql DbType +') ( ++ "/ +Ġw ore +S il +Ġst oring +ĠPh ase +u ant +Ġb ump +in ho +Ġd ign +Ġback s +q q +(h ash +Ġge o +Ġt ender +Log o +! )Ċ +ĠM X +ĠAr thur +esso a +_C h +Ġbed rooms +="# ">< +Ġth roat +ins ic +.int eger +Ġpr imitive +Truth y +Ġfacilit ate +Ġcreat ivity +ĠD NS +Ġg ra +ue z +Ġcount less +ĠPol and +' M +ĠD ist +Ġv est +Ġcert ification +á» ij +h eld +ext ensions +( static +Ġgr ades +ĠU ber +ãģ Ł +Ġ[ ])Ċ +dat os +Ġget Data +ĠCh arg +ĠB S +.m icrosoft +.v ideo +.d irection +->{ ' +l ua +ape st +Ġbo iler +ere k +Ġdec ides +.j ar +IS C +ĠW ords +(C ON +EMPL ATE +ree ze +sh ots +app s +unt ed +.set Name +:: < +-b old +ê ² +å¯ Ĩ +Long rightarrow +Ġunf air +Ġear ning +Ġsh elf +URE MENT +Ġid le +_M ENU +.C ustom +AG ER +- " +_s witch +b ecause +) view +m are +_ condition +ĠStart ing +M vc +(p re +d ump +_LO CK +at etime +.c allback +ĠC er +op ol +ib rary +Ġres ervation +ĉĉĉĉĉĉĉ Ċ +lect or +grad uate +Ġgener ous +Ġ ion +ric ao +m q +_com plete +(c ursor +ĠForm Control +: center +Ġsub stitute +ĠPl anning +Ġp ension +Ġrecommend ation +ĠT ags +Ġg ef +Ġalbum s +Ġwash ing +ro c +Ġtr ains +at ings +Ġex ponent +ack bar +- ln +á g +.Data Annotations +ĠE IF +ĠMalays ia +ĉ PORT +on us +Ġcle ver +Ġpe u +> ĊĊĊĊ +ĠArg uments +Ġdebug ging +( right +' D +com pute +Ġfin est +OR AGE +Ġspect acular +ph rase +Ġind ia +Ġlegend ary +b irth +Ġcom posite +Ġg rows +ĠT D +Ġep id +Ġlaunch ing +] ][ +Min utes +ĠCh a +Ġclean ed +Ġwitness es +uk an +ĉ Type +Ġhab e +par agraph +ĠJ Panel +ĠH ann +Ġvar ied +ĠP okemon +ĠM UST +åĬ ¨ +.vis ibility +op up +^ [ +.exp and +Ġ" ', +.f asterxml +_ auto +ĠShe et +mark er +Par cel +ew s +ĠStr ategy +-m aking +Ġun ve +Ġtrail ing +Ġclick s +ĠGet Component +ĉ content +IG ENCE +ERN EL +NSMutable Array +Ġb reat +Ġharm ful +¶ Ī +Ġbes ides +Ġb oring +Ġbrut al +v ang +(p arse +qu ick +Ġpy test +Ġswitch ing +() ]Ċ +Ġì Ħ +L ER +ĉf ont +Ġnet t +) ]ĊĊ +(/ \ +æŀ ľ +to Array +Ġbre ed +ĠC AR +ĠWe apon +A bs +t ot +Ġset Name +apt ive +Ġ: , +Ġesc aped +ord en +ĠP ri +th umbnail +Ġdescri ptions +/ styles +ĠPC I +Ġal phabet +astic search +NOT E +Ġc ialis +ĠGr iff +Ġpor que +Ġprote ins +pl ays +Ġst ating +Ġimag ination +Ġfac ial +ĠMe chan +Ġarr anged +_ used +Ġarrang ements +ĠP ipe +host name +Ġprov inc +T it +.Flat Style +ĠS plit +ĠLo ader +.c c +Ġclin ic +---------------- ------------ +Ġb aking +ĠEN T +ne ath +ãĢģ ĊĊ +AN E +.EntityFramework Core +app ers +. ic +ĠNg Module +ĠF ORM +Ġ' ; +-pro fit +h w +en emy +ĠE ye +Ġca ution +t own +Ġur ged +ĠJim my +ynchron ous +-s ized +m aking +, { +] ', +_ Object +ah oma +Ġactiv ist +IN VAL +ĠCom mercial +ĠOr lando +(t ab +ĠØ ¨ +Al gorithm +Ġher itage +Get Mapping +Ġfail ures +ri os +at iva +Ġt et +Ġcar pet +( Z +th ree +Ġdisc losure +. ERROR +_c alled +Ġd ial +Ġoccas ional +.E rr +Ġfunc ion +caff old +Ġrele asing +ï¼ī ĊĊ +_ Value +ĠV ari +y ellow +Ġstrugg les +.c al +ĠDak ota +ĉc lose +Ġsand wich +Ġanaly tics +Ġ** ) +& # +ĠJ os +Ġpass ive +AT TR +Th rowable +ĠM un +ĠU int +(dis posing +ar ak +ĠLe aders +Ġaffect ing +Ġitem View +Ġeconom ics +f v +๠Ģ +.r b +ĠOver all +Ġwealth y +Ġev olved +nd a +ĠH us +re strict +um en +ĠA gricult +! ĊĊĊ +Ġexp ires +Ġspokes person +int erval +Ġà ¢ +Ġque en +(n il +ing o +He ap +Ù İ +Ġcompl ain +S ym +ĠCl one +ĠR u +ĠW ILL +ĠCr ystal +/ content +ing en +oint ment +Last Name +av icon +ĠIB M +ĠDim ension +an h +icip ants +ĠAn ne +.pro gress +Ġal go +ob il +ĠV oice +ĠF E +Ġg li +Ġv ed +Ġprevent s +\ Column +Ġfol k +ett i +Ġm n +ĠCL ASS +Ġdisplay ing +ĠK l +ĠF err +d uto +. ib +Ġd ados +' name +-s pace +Ġit alian +Ġin verse +Ġd ense +ut er +ĠI Enumerator +-s ign +Ġnation wide +Ġperson a +Ġsol ved +Ġdram atically +Log out +Ġgr av +Ġanalys es +ol lo +Ġl amp +. team +ĠE rot += [" +Ġd ancing +Ġ?> / +Ġc ater +ff e +ĠSh a +ĠB os +ĠRE QUIRE +ĠMon ster +ĠR B +ĠI DE +Ġsu its +Ġform Data +( theta +Ġsp atial += NULL +ĠSql Connection +Ġ à +ĠV enez +ĠMor ning +Ġpublic ations +ĠNON INFRINGEMENT +first Name +ud s +W ould +_HE AD +Ġinvest ed +st able +f red +Ġcommand er +SE S +âĢĶ a +an che +ĠM ovement +ë ³ +S uite +Ġjur isdiction +ë¦ ¬ +ĠB eth +j Query +ĠIs a +Ġd ental +, * +ĠL imit +ili ation +=" { +b ast +Ġt urb +is y +O OK +Ġadvoc ate +im ag +LE CTION +л ÑĮ +(c ategory +.de c +Ġun iqu +_s n +Ġattract ed +Ġà ī +ĠRun ning +_ edges +ĠDis able +_A S +åĽ ¾ +Ġnetwork ing +_br anch +H aving +toBe Truthy +G I +Ġcamp s +se p +-p art +Ġ)ĊĊ ĊĊĊĊĊĊ +ustral ia +ĠRe ports +rit o +Ġwa ist +_pl us +ĠW W +-p erson +Apr il +Ġs ar +.t ar +Ġagricult ural +t ic +Ġt cp +Ġset Value +agent o +ĠAp pe +p iler +CA DE +Ġan che +atch er +Ġcom ics +Ġl bs +_se gment +'] =$ +itt ers +ich er +G INE +Ġutil ize +ĠC ursor +_ex pression +Ġd ag +< long +Ġr hyth +æı IJ +Ġconsult ation +Y et +")) ĊĊ +_M AC +c ould +Ġ' \\ +ĠV o +ĉ http +Ġg s +ph er +- grid +J ames +J ul +Ġsch on +Ġtensor flow +ĠLOG GER +am as +Ġsc ipy +Ġconv iction +. ag +Ġadministr ator +)) {čĊ +Ġn un +" group +P or +Ġnur se +ex pression +ak y +ĠHe avy +. opt +.get All +Ġover l +/ ", +_c ountry +ç İ +ĠG ENER +_r oute +ĠD al + ´ +ol oad +Ġuncomfort able +(m enu +Ġhost name +' ");Ċ +Ġcalcul ations +-c lick +Ġprotect ive +ãĤ ¯ +_F orm +ung s +Act ual +m f +ĠProcess ing +ĠIn ventory +(m atrix +app ropriate +w eg +ij a +Ġch r +Ġr ifle +-w sj +k ar +Ġindepend ently +I OS +Ġconsist ency +v n +/s ystem +ĠCh anges +Ġexp ose +ici ents +Ġrel ate +ĉ next +è ¨ +ud es +Ġglass es +F XML +.... .. +ĠP df +Ġappro ve +Ġ{ \ +Ġexist e +)) ( +ARE NT +оР¿ +ĠL atest +ĠNiger ia +.Inter faces +Ġrem oves +En emy +Ġen force +vert s +ĉ pos +_text ure +W ARD +ĠINC IDENT +( container +Ġdef ending +ĠR X +ĠH ook +br is +ĠFl ask +Gr ay +. )Ċ +vis ibility +ĠRedirectTo Action +err al +_e lem +Ġres on +front end +_variable s +ater ia +Ġ+ " +ave led +RI X +Ġdef icit +_C heck +YY YY +To One +sp y +Ġun ited +end ent +Ġp ode +ãģ Į +C AT +(f mt +ĠBon us +Ġre ck + º +Mod ules +Ġvac uum +R adio +ĠDAM AGE +P en +ĠPark er +; ;Ċ +ĠRe ally +_n eg +p ending +Ġnomine e +ĠC ategories +ĠUl tra +We apon +Ġdef ender +I ss +ĠG ender +ĠD ress +Ġimpr ison +Ġbank rupt +imension al +PH A +ĠStr ateg +ĠPROF ITS +Ġp atri +//////////////////////////////////////////////////////////////// //////////////// +de legate +Ġfor State +Ġdev oted +_m ake +Ġterror ists +ĠS nap +_n av +ĠA A +ĠI an +ĉ app +Pl acement +_h dr +< K +Ġs ang +st roke +- Q +> x +.T ask +m oney +ib aba +' });Ċ +ĠSpec ific +ĠLine ar +_O PT +Hash Code +( Player +.Contains Key +Ġcoll apsed +trans parent +_R ANGE +View er +(c fg +Ġsort ing +Ġinf ected +ĠN ach +Ġaccommod ate +.element s +_P ART +ĠSex y += get +( year +Ġx hr +: ] +ows ki +Ġsum mar +Ġ ¿ +Ġint e +Ġwork flow +ĠTai wan +vers ions +åı ij +Ġsurprising ly +Ġopt ical +Ġpro ces +Ġdisag ree +Ġnue vo +ĠC AM +sort ed +le ases +ist le +Id ent +ĉ event +ject ed +Ch unk +V ars +.pro vider +Ġproceed ings +Ġin clusive +Ġart work +end ants +ï¼ļ Ċ +se en +Ġl ig +Ġm akers +_f un +Ġlength s +Path Variable +[ item +ภµ +De ad +FFFF FF +ĠUr ban +up les +ich en +(null ptr +.s pec +, System +UR ATION +(j ob +å¼ ı +Ġtrack er +Å Ļ +ĠM R +ĠSQL ite +Ġd to +Ġ; ;Ċ +Ġm int +ĠInt roduction +ca o +Ġquestion ed +Ġf itted +rev ision +s q +Ġm ig +_un its +_ async +Ġf lick +});ĊĊ Ċ +Ġnot re +}` , +F ilters +Ġm undo +_d ays +Ġfr m +ut c +Ġval s +ew idth +ĠGener ator +ĠArt ist +ĠID s +ĠArt icles +re ater +ĠComponent Fixture +. = +Ġr ou +- no +.b ukkit +eg g +ĠD iff +atic s +Ñĥ Ñĩ +âĢĶ ĊĊ +ĠChar lotte +by e +Ġ} );čĊčĊ +ĠV ik +ĠB row +Ġl v +ĠG ib +-w ing +GL IGENCE +(I l +ĠEngine er +.W ait +ĠP ictures +Ġr het +Ġth ermal +Ġpr aise +< >();ĊĊ +ĠSp ider +P ause +ĠB aker +Ġsl ower +Ġ} ]Ċ +_en queue +Ġdisappe ared +ĠT icket +IN UX +_LOC AL +аÑģ Ñģ +@Inject able +comm unity +Gesture Recognizer +åĽ ½ +Ġsca les +Ġ- ( +/ '+ +ĠS it +Ġexecut ives +ard ing +Ġad vers +Ġback wards +ĉ context +ĠH amp +ĠP F +ĠDe ck +ĠCra ig +A merican +Ġb ell +Ġpro l +uf en +Ġr ng +ar shal +ĠSim ply +first name +sh ore +J uly +Ġmort ality +ĠâĨĴ ĊĊ +Help ers +Ġbench mark +em ade +Ġorganis ations +.g son +ĠText Field +Ġciv ilians +.Array s +ĠMiss issippi +Ġinter mediate +get User +_cl uster +Rel ative +fore ign +.querySelector All +Fore ignKey +Ġreason ably +-------- -Ċ +C ards +ĠK am +ĠTh or +Ġroll er +-e lement +ĠC urrency +dd ie +ALL Y +ĠR A +Ġper met +aa aa +Ġhom ework +ĠV it +Ġm old +ĠF er +[ start +Ġstatist ical +Ġsc ary +_H OME +.B egin +Con struct +ogen ic +ĠDEAL INGS +Ġtamb ién +ix on +. ind +ac re +Ġtransform s +ĠN ap +.B lock +uss ia +pir ation +ul ent +Ġce il +Cl ause +na ire +T ES +Ġne at +ST D +ĠReg Exp +per form +: ) +Ġun ions +Ġs ublic +Ġw inds +lo ating +g lich +Ġp agination +S kill +App ly +ĠOper ator +ist ogram +Ġqual ities +C ross +Ġde com +], " +ĠJ uan +.mod al +.Ch ild +ĠRog er +STIT UTE +:CGRect Make +a lette +Ġst a +as ide +Ġbl ur +ĠW a +if etime +re ed +control s +Ġb ins +Ġп ол +*/ ,Ċ +U IS +ĠR ou +ĠDem o +- awesome +ĠCh ain +Ġh asta +ĠB art +. KEY +Ġvend ors +nof ollow +ĠD est +_b uilder +Ġarg ues +_ answer +g oto +ĠRES ULT +ĠM ON +Ġp oder +o ons +_C ASE +Ġrep lic +Ġfin ancing +ĠD ATE +c ern +_tr ack +t ies +/ logo +ĠNE GLIGENCE +get Type +> T +b et +g irl +ĠINCIDENT AL +-s ite +.tr igger +ĠL isa +_input s +Ġrel atives +Logged In +Config ure +I K +. accept +Res ume +ĠD raft +Ġ* >( +ĠW A +ed ian +ern ess +ĠLayout Inflater +*/ čĊčĊ +oth y +Ġoblig ation +Sub scribe +Ġth umbnail +ex ist +Ġins isted +ĠU ICollectionView +ĠAng ular +Ġtable ts +ĠImp act +ãĢį ĊĊ +ah o +Ġcharacter istic +g d +Ġ= ================================================ +our t +` . +App ro +Co ordinate +Rem ember +Ġmar ine +] ==' +ĠAdmin istrator +.get Default +Ġforg ot +ĠStruct ure +V ue +ars ing +m oment +k w +_c ursor +Att ack +Ġath letic +Ġdiagn osed +Ġend e +åĪ łéĻ¤ +H ouse +ĠP ARAM +Ġw iki +ĠO pp +Ġcons ervation +Ġs nd +_t em +sub str +ĠC ape +.s im +UT ION +an an +âĢĻ un +Ġg y +- work +Ġcomp elling +=' # +ĉs ub +Ġdirect ories +íĬ ¸ +Ġtouch es +out ines +.C ollection +s chedule +.l at +ĠDo ctrine +CA A +ĠRe fer +Ġshift s +Ġlik elihood +pre ter +ĠF emale +Ġinter cept +Ġl ou +çĻ » +Ġr ug +ĠC rown +Ġ************************************************************************ **** +- product +Ġprompt ed +ung le +d ocker +ĠT u +ĠUn ique +_ Error +ul os +Ġâ Ħ +Ġ( ` +Get ting +_s cal +ĠEn h +ü t +Ġsust ained +Ġp atches +Ġpros per +ĠG aza +_l ight +Ġin cons +-------- Ċ +ĉĉ ĠĠĠĠĠĠ +S F +C N +: ";Ċ +ĠColl ins +( *) +Ġcomp ilation +'] čĊ +Ġcon sequence +, ... +Ġd m +ĠB LOCK +Cl uster +Ġsk i +(arg c +T uple +Ġjo ins +ĠSher iff +W ar +ind i +Ġcomment ed +H OST +Ġinv itation +apan ese +Ġperm its +preced ented +_z one +ĠA my +_R D +Min imum +Ġinv ocation +.en able +icht en +- owned +" id +_PO INTER +F ac +Ġspecific ations +Ġnom ination +Ġg p +< ( +Ġrob ots +ĠJ erry +Ġhold ers +Ġw and +c ms +Ġ} ))Ċ +.To ast +ĠI List +B ased +z oom +/ style +ĠBe ck +M en +Ġcontrib uting +Ġund o +ĠO H +Ġadd Object +Ġe igen +sign up +éĶ Ļ +Ġdist ant +PAR ATOR +ĠM ari +Ġm á +E mp +ó s +Ġì Īĺ +ev t ++ j +p ark +ĠSt ay +ĠD un +Ġso y +> % +az ines +Ġti empo +(m e +p resent +.Th is +Ġedit ors +F IELD +.W ork +ĠUn iverse +Ġdr unk +.t imer +Ġalter ed +ĠN ar +ëł ¥ +.Act ive +id or +ç Ń +.delta Time +Ġawk ward +& quot +ĠSaf ari +Ġtr icks +MENT S +div ision +Ġvary ing +ĠHigh way +Ġphotograph er +ĠSt ewart +Ġlast ing +.P re +.amazon aws +ĠL uck +.D escription +ĠN az +n eg +Ġc ó +<<" \ +ĠSur v +ĠU nc +Rec ipe +.Border Style +Ġmod ifications +- at +AT FORM +h dr +ak o +Ġsublic ense +ĠJ ump +Ġbe im +ĠMan hattan +. bool +_h w +ÑĤ ÑĮ +B in +Ġg ateway +" ": +ĠU IS +:" + +- def +ĠReg ular +/ testing +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +string stream +Ġdis par +Ġmob il +- read +ĠAd apter +ĠCh ampions +Ġsched uler +Ġk ills +ĠM ultiple +ir ror +Ġgod s +AD O +ak te +ĠUs uario +.c ircular +Ġre cept +ĠEx pr +Ġelder ly +Ġnic ely +Ġbest e +W ant +Ġclass ical +.s prite +obj c +ĠM ason +Ġsist ema +.Bl ack +es o +ĠZe it +Ġdiv id +Ġent ers +_sub ject +ĠPlan et +.w arning +ĠG ram +_t okens +Ġhousehold s +_c ustomer +user Name +c ross +Ġp ione +Ġass ists +_S M +ib o +Ġlo yal +Ġuse less +# elif +ĠUlt imate +C ome +g el +Ġd ich +xy z +ik el +ob ra +_s can +ĠInter ior +ĠN ice +Ġpl ac +ĉt arget +Ġvir al +ass o +() / +und e +ĠAd obe +O s +vis ited +ĠO W +ĠFe ed +ĠSe quence +Ġman ages +in son +ĠLouis iana +{ }) +ĠH ab +ĠL D +Ġb ip +pr ites +(e lem +.h ibernate +él é +Ġoh ne +_trans action +Ġann unci +P ublished +ĠH onda +ĠT am +ĠP acket +_ selector +Ġchalleng ed +Process ing +-h over +Ġtr ainer +_c ancel +ĠNS Dictionary +ab ric +ĠM LS +_s ensor +Ġshr ink +ĠF X +th reshold +ĉH X +-m ark +` .` +S cheme +(f ull +_w riter +ĠS ys +Ġf led +ĠC in +-w idget +ĠPre vious +G ender +_ question +Fe ed +Ġscr ut +(p refix +ãĢĤ ãĢĤ +Ġin fections +Part s +Ġhier archy +_DE LETE +ĠPat ient +_p ay +Ġprom oted +Ġì ĭ +Ġcivil ian +Ġagricult ure +ĠP iece +Ġst ance +uts che +Ass ign +.A CTION +F ig +_r adius +ĠS ync +du cer +f ailure +ens ed +pt ime +B M +_dat etime +qu ivo +QUE UE +èĢ ħ +Ap pear +Ġsum mit +: void +Ġv ine +è® ¤ +on ne +_TR ANS +.g reen +_ cc +Ġhung ry +Ġ" > +() );čĊčĊ +Ex tract +iz ens +Ġsol ver +Not ify +Ġeng lish +ĠSh opping +inter faces +RE Q +Ġil leg +ĠUI ImageView +Ġdis connect +ĠUnt il +ĠConserv ative +@ Column +Ġshift ed +Ġ: čĊ +Ġf ich +Ġd la +Ġsh oe +"), čĊ +ular ity +_RE SP +We ather +UI Application +. iterator +Ġag ing +.P arent +ow ie +(e qual +ĠCon v +/ default +Ġmeas uring +.pre v +.Is Valid +.F at +Ġs Äĥ +key words +with out +Ġso vere +Ġex changes +Ġm elt +Ġis lands +ĠInt egr +Ġjump ing +Ġg le +Ġjournal ism +Ġd ated +Local ized +ĠRef resh +Part icle +Ġa a +ĠSTR ICT +Ġb od +.Pro cess +_A UTO +ĠP ublished +e very +Ġtechn ological +ls x +Ġir rit +Add itional +Ġdel imiter +_l anguage +- area +bo ys +ĠT ube +Ġw at +Ġmechan ics +_ owner +Sp ell +ĠSt ories +.Append Line +Table View +h em +st ick +oll ower +I FF +ĠU V +oll ision +S UB +Ġcompar able +Ġdon de +s ales +ll vm +Ġ} ],Ċ +OTT OM +ĠPur pose +L ab +Ġinterview ed +o is +as il +.set Id +ĠIn struction +-- > +ĠMod ified +ation ally +ĠMe eting +è¯ ¯ +# region +Ġrout ing +.f ocus +ĠYou th +< D +ĠN ag +contact s +Ġform ing +Ġm ie +',[' ../ +ĠB P +Ġapp et +ĠTe acher +ĠT P +Ġann ually +outed EventArgs +ĠSpe aker +Ġre name +CF G +(" // +æİ ¥ +/p ages +Ġpr és +ĠSp ell +.All ow +ĠINT ERRU +Ġ( # +âĢĻ ĊĊ +_G eneric +.im show +_t im +- face +(& ( +atin um +Ġrevolution ary +ĠH ours +r ain +Ġany time +Ġab b +.j sp +Scroll View +ĠTr uth +Ġanticip ated +Ġacc ent +. checked +Ġspec ifies +Ġca f +Ġcell padding +Ġcook ed +ĠH ugh +pe ek +_R ATE +Ġd orm +/ čĊ +IV ITY +.Cont roller +(p art +.con straint +Ġinv asion +MO VE +Ġgl uc +l ename +Ġam en +eng lish +ĠSw itzerland +";ĊĊ Ċ +pe st +.col lect +N ib +ĠD ict +ĠE mb +(sub ject +Ġoutr age +Ġdec iding +Ġsent enced +F echa +" A +Ġqu er +Ġfont Family +Ġqu adr +- Y +_C ACHE +Ġanaly zed +Ġg aining +ĠAgain st +ĠSou l +ta u +Ġlight weight +ĠT F +ĠEffect s +.T ypes +.add Class +Ġv egan +é ģ +.' " +ĠExpl orer +.d etect +.sh ift +Ġoblig ations +last Name +Ġassoci ations +ĠTime Span +un ter +ĠF resh +Compat ible +P ub +id ges +. option +var i +.hash Code +Ġg eb +. section +- not +ĠSub mit +T N +reg istry +_m edia +Ġn aj +ff t +Ġm ate +-th ird +Ġp ockets +est a +Ġb ent +ĠN ord +Ġretail ers +ĠMor ris +."" "ĊĊ +W rong +Ġ ÅĽ +R ay +. ec +ĠB ind +_H AND +(n on +is Valid +Ġsimilar ly +_L IMIT +Ġdynam ics +Ġdist inction +ãģ Ĩ +< N +Ġor th +ĠToy ota +ĠK ate +ĠL S +or ie +ĠSpr ings +Ġf reak +last name +_M ULT +-st ep +" ( +AD DR +Ġentert aining +_CON F +Ġdec oded +Ġst reak +Ġwait ed +Ġnot ified +rodu ced +vis ual +.Layout Params +æ ° +es ian +f its +s pring +ĠBern ie +User Defaults +Ġped est +Ap pearance +ĠW iki +ĠNOT ICE +Ġs sh +Ġdur ante +ĠZ ip +ı r +ĠNAT O +Ġtw elve +Ġro yal +ï ¸ +Ġmer chant +ĠF urniture +'] ),Ċ +, X +Ġfold ers +ĠG ate +ĉf unc +p ick +_us uario +ĠV erm +ment ion +ur pose +Ġalert s +x ious +_s ig +ĠF u +Ġ( : +Ġd umb +åħ ³ +Ġaccur ately +éĩ į +R B +-s creen +ĠV ER +j our +Ġrom ance +uc ceed +. choice +Ġad ip +_d ims +Serial izable +ãĤ ĭ +.j ob +Ġpro g +uch ar +Ġg ently +ĠR SS +ict ured +_ENABLE D +ĉ label +aw ks +ĠEn sure +rem ember +ìł ķ +Ġtrans mit +{{ $ +.Trans action +ur se +_rel ative +Ġs ized +ĠX X +ĠPr incess +ĠL arry +Ġpr ó +ĠÑģÑĤ ÑĢ +Ġs isters +estr uct +Ġcheck point +: length +ĠCar los +/ icon +_T ARGET +T okens +Ġpat ience +ĠSe lected +q ty +.show Message +Ġwild life +ĠP rops +b m +- arrow +Ġpar cel +fire base +ĠBen jamin +cess o +.t im +ĠG arc +. any +ĠHOW EVER +ĠK o +Ġgrab bed +_f rames +Ġobject AtIndex +ĠADV ISED +Ġsub ur +ĉ GL +Ġ}) }Ċ +-l ength +ìĭ ľ +ĠPot ter +_b uff +.g ui +ĠEnc oding +E lect +-m essage +Ġ � +Ġ ÈĻi +ĠArgument NullException +а ÑĨи +Ġmin imize +Ġrespond ing +$_ [' +ĠInd ividual +á c +ĠIN TER +Ġmast urb +ĠB in +(' $ +ëĵ ľ +Ġopen ly +Ġ> < +Ġun to +olog ically +ĠM ul +VID IA +Ġsl im +ĠCommission er +( on +Ġunder neath +/ db +v ote +( Message +ĠP ope +Def ined +Ġsw ift +ur f +Ġadapt ed +SE L +Ġreven ues +Ġdiv ine += y +Grad ient +_ act +Ġ/*! < +Ġpoly gon +ĠF DA +ĠC arr +at ables +(std out +Ġrefr iger +Ġco ordin +avor ites +ÑĪ и +Ġcompass ion +ĠPOSS IBILITY +- secondary +ur acy +Ġcomp romise +_A V +_ os +Ġbes ide +ĥ Ŀ +Ġl n +.pl ugins +Cap acity +al ah +.b in +ĠC RC +_b alance +Ġflex Direction +Ġam bit +Ġnick name +ĠFor ces +C LE +ĠSh ell +Ġs ail +ĠW riter +ĠA lice +d w +ĠInd ians +ĠMar shall +_S RC +Ġnormal ized +ĠJ ag +ãĤ Ĵ +ze it +r pc +ÃŃ c +.in line +Ġtrav ers +_n umeric +Ġutil ities +Ġev ac +IN PUT +ĉ register +M X +ĠCamp bell +Ġdatas ets +Ġdem anded +Ġinitial State +g an +Ġe i +Un expected +- web +tr ait +, Y +ĠT odd +Ġske leton +Ġoptim ize +ç¬ ¬ +ĠU pon +ĠSt Object +Ġap lic +.' P +v ron +. UN +Ġpaint er +izar re +Ġl av +Ġp om +p reg += function +( serial +ific a +um ing +åľ ° +ãģ Ĥ +- op +U CH +ĠH end +.prop Types +Ġy o +Ġrout ines +Ġcar ing +S em +Ġres erves +Ġprior ities +red its +IST R +Content Type +ĠSch w +/ media +Ġe str +Ġclim bing +- week +cher che +s ensor +To Array +ĠMont real +Ġcloud s +ĠInject able +ĠR ice +Ġpropag anda +_pro vider +Ġind oor +Ġin aug +Ġdipl om +Ġmess aging +_m ut +å ¦Ĥ +Ġk w +ON S +ari ans +R PC +) ]čĊ +-r ay +ĠS or +m all +Ġmarket place +Ġv tk +M a +og an +ig i +Ġspons ored +ĠD ani +.S EVER +>' .$ +m ultipart +ĠW ol +Ġtable Name +ĠUser name +Background Color +Ġf right +_E MAIL +Sept ember +_val s +op ia +Ġsp otted +- Ch +Ġdata Source +/ "Ċ +ек ÑĤ +ĠRequest Method +ĠRe place +-d o +ah n +ĠPh D +] .ĊĊ +N ON +g ement +ĠTh r +Ġquiet ly +Ġtort ure +Ġte as +ĠC Y +Ġa tr +develop ment +-d etail +Ġlight er +Ġarg uing +Ġdes erves +Ġcur riculum +_CON TEXT +ÅĤ y +H ITE +ĉ ID +/ uploads +Ġt its +re o +_d rop +. UTF +Ġpick up +Ġgro cery +ĠP ure +Ġeas iest +Ph il +.f eature +(" * +Ġinvest or +t ok +Ġj ar +L os +âĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶ +. queue +-s peed +M al +um blr +ĠCON ST +ĠH RESULT +ĠD ance +(file Path +Ġattrib uted +ॠį +ĠB und +co ins +Ġs ão +Ġp ir +person al +Ġpre lim +Ġprop ose +ĠT L +] ]) +ĠSub scription +ĠK re +, len +.First OrDefault +) -- +_product s +.Get Bytes +Sh ip +Ġenc rypt +ĠS G +ĠM yst +h ir +Ġiter ate +Ġint end +.mock ito +Ġch apters +( angle +ĠV lad +è® ¾ +' .ĊĊ +Response Body +ĠAb d +de al +Ġbar riers +-out line +b ill +ĠF alls +_se cond +. include +. ceil +Ġoccup ation +ph ony +.move To +ĠJenn ifer +AST ER +; ">< +ĠEn abled +Ġtermin ate +ĠI o +l ations +ĠTHE ORY +Ġear liest +Ġr ack +ĠSc ar +sh ake +ch ip +Ġu v +Ġall iance +п иÑģ +ĠGOOD S +z ione +ĠV I +Ġ{ - +Ġfilter ing +Ġmis con +.Dock Style +Ġb ush +Ġj unk +æ Į +ĠQ UE +Ġhook s +Ġfirm ware +Ġmiddle ware +d ic +ĠOak land +Ġarr ives +P ayload +p ixel +] | +Ġstart Date +.P RO +_a udio +Ġmid field +igid body +ĠSw iss +ĠCl ip +ĠD ump +ĠText Box +Ġg eh +y ield +od s +Ġrefer endum +Back end +ĠC ream +Ġdomin ated +ĠArch ive +Ġrid ers +.prepare Statement +Ġqu ando +Ġche f +w iki +in el +am pling +(" \\ +Ġs ag +_pro xy +ãģ ķ +p do +.getElementsBy TagName +Ġdemonstr ation +ĠN PC +Ġarch ivo +end ance +Ġefficient ly +( actual +.t ableView +Ġm ush +Ġbe ars +_thread s +j as +ah un +Ġne ural +Ġdesign ing +ĠG DP +Ġlift ed +çĽ ® +ĠJ oint +ĠIn clude +ĠGi ants +Ġwithdraw al +ĠR ent +n ative +ĠSe ek +gress ion +_C PU +\ S +ĠSh ield +Ġsol ic +Ġbo om +yect o +Ġmanufact ure +ĠâĢ ĭ +Ġb box +Ġearth qu +ollect ors +:@" % +Ġlo ops +J e +alk ing +ĠWh ats +ĠBo ys +. book +ARG E +_p ixel +Ġsus pects +Î ¹ +us p +ĠBM W +ie ces +(p erson +å¼ Ģ +é » +ĠPod cast +Ġb ou +( Item +à » +( Input +Http Get +Ġb urg +) ^ +BO ARD +*/ , +Ġg ulp +ĠB enn +Ġdeck s +.status Code +Ġac ute +Ġh ug +ug u +Ġp led +," % +h ape +Ġз ап +ĠMain e +.re al +Ġd alam +ĠMin or +.F loat +dis p +Ġt l +Ġen count +=> $ +Ġf g +te es +ĠRec omm +ä l +Ġchem istry +Block s +O ID +Ġfore x +ĠApp end +Ġ{ * +ĠSup ply +CG Float +(b l +Ġat e +ador a +Ġg ust +Ass oci +> .Ċ +F ETCH +.s erial +widget s +ard less +ie fs +_F ULL +ernet es +ĠP red +Ø Ń +äº ĭ +ub ernetes +ĠL aura +Ġl abeled +High light +Ġanno ying +/ update +(d escription +Ġintim id +$ c +")) )Ċ +.A P +Ġ[] * +ĠEX IT +.H ost +ĠOP EN +.send Message +_c amera +_t ile +Ġth erm +onom ous +Ġdis adv +Ġna ar +index Of +ĠP P +.prot ocol +AF E +Ġtext ures +################################ ################ +umb ai +.st ats +ĠG E +Ġi e +ĠST D +ĠM ann +.ref lect +K B +Ġd ive +.w av +/* ---------------------------------------------------------------- +/ settings +.l ifecycle +Ġda ughters +or us +ub er +N ING +st ri +ĠT ip +Ġz n +Ġswitch ed +in et +uff y +ĠTransport ation +( conf +fr ica +ĠX L +ĠLe ad +_per cent +< Map +Ġthr ust +or b +ik k +Ġtra uma +Access or +ĠF it +ĠString Buffer +ex pl +(s creen +Ġaud iences +ĠO PTION +_ round +[ node +be h +-> __ +per missions +ĠD etermine +.M an +Ġadv ances +. InputStream +Ġstrong est +Ġe Bay +Ġ# - +Ġdir name +ĠS MS +Ġmedic ations +Ġam ended +Ġchurch es +ĠImper ial +$ row +ĠMad ison +ĠIn sp +Ġaff air +Ġpsych ology +v h +Ġsever ity +âĢ IJ +Ġstri ps +A H +vert ising +Ġcon se +IM AGE +ĠSt ats +ĉs c +.C ursor +Ġfree ze +ss on +(x ml +ĠSus an +.t ile +ed ed +ĠĠĠĠ ĉĉĉ +uel le +ĠMitch ell +b ased +Oper and +½ æķ° +ĠF F +ĉstr cpy +ounc es +ild o +.execute Query +Ġapproach ing +ĠSe ven +Ġn uts +Ġr ic +ass ignment +Ġcalcul ator +ĠMur phy +ĠB ou +í Ħ +Ġbut t +Ġt icks +Project s +il ib +.text Color +m ov +_log o +( template +ĠIN IT +Ġimage View +scri ptions +OR ITY +Con sumer +Ġun precedented +Ġtour ist +Ġbr on +Ġcontract or +Ġlic ence +ĠN am +æ ¯ +( transform +_AT T +P ref +ĠG am +Ġvess els +Ġh av +L ater +.To Lower +Ġurl s +Ġbreak down +Ġpen alties +Ġf oster +ĠU E +Ġcl ue +com ed +åIJį 称 +-m ain +Ġp ts +Ġcount ed +ict s +/ post +Ġget attr +Ġp ing +ANCE L +Ġp ec +Ñħ од +ant om +ĠBlue print +ĠEvent Emitter +Ġl ä +æ ² +Ġstr aw +( comp +' une +> N +- client +es Module +-b ase +Ġret reat +_s imple +ĉĉĉĉĉĉ Ġ +fe e +') čĊčĊ +Control Item +Ġsubscri bers +ple ase +ĠE ff +Ġp ound +ĠBy tes +ĠTe a +_ activity +Ġmax im +Ġop code +B SD +. constant +; } +omb res +Ġcare ers +) .ĊĊĊĊ +Ġsp reading +-exp anded +ĠOr d +amar in +Ġmob ility +Un fortunately +ak k +N L +_ redirect +ĠP G +ĠS ensor +b ol +t ap +_MEM ORY +ĠUI Alert +plit ude +We bsite +ĠLog o +lo ve +[ ind +Ġalto gether +Ġwonder ed +Ġes per +ĠLib eral +Ġo ss +Ġel it +Ġst iff +od ox +_ment ions +ĠDou glas +_p id +ĠC K +ĠinitWith Frame +.b log +p kg +ang hai +QUI RED +u u +Ġm kdir +AT AL +Ġun h +in ces +st h +Ġhypo thesis +Ġc ata +ĠT B +ĠCl ar +Ġpre decess +Ġsitu ated +-w orld +)) / +Ġhead lines +.st at +Ġout break +sp ath +_FLAG S +ĠServlet Exception +S un +F ROM +ĠD ir +ãĥ»ãĥ» ãĥ» +_co ord +ĠOpt im +Mon itor +.b it +XX X +Ġtod as +f eld +ÑĢ и +im ir +Ġpolit ically +Ġmolec ular +Ġtrad ed +Ġ{{ $ +ĠSw edish +Ġ'@ / +_RE AL +Ġw arehouse +t oday +, L +or p +< section +- br +ym e +ĠUser Service +Ġlib erty +Ġmoment o +( Image +< size +S ch +Ġj og +i ology +arent ly +Ġquant um +ĠAb u +Ġr im +Ġman a +Font Size +Build ing +st airs +AIL ABLE +Ġ& ' +Ġs ect +Ġs igh +(b atch +.I Container +p oll +ĠCor ps +Î µ +ar u +ĠK ay +.r ange +_click ed +ĠRobert s +.N etwork +fin ish +- Man +Ġcolleg es +ĠF ine +")) ,Ċ +f ilm +Ġrem inded +Ġgest ure +out il +Ġthread ing +Ġobj et +Ġt ours +activ ated +.m kdir += user +Ġre de +f ü +_SY STEM +p v +Ġcon gr +Ġmass asje +Ġpract ition +Un iversity +Ġtab index +Ð ĺ +S ets +Ġcount ies +g uest +f an +Ġword en +.d i +на Ñĩ + ¿ +ig Decimal +Ġsh ore +Ġg ö +Ġrep airs +Ġhelp ers +Ġcenter ed +OL LOW +Ġmap StateToProps +Ġc ents +< A +Ġexpect ation +Oct ober +Ġbg color +ca les +.C ON +ĠV el +Ġcry ing +-se ason +Ġfunction ing +_LOC ATION +ü ss +ber y +Par a +omin ator +- le +Ġeth ical +has htags +emp lo +Ġn úmero +( activity +.St op +.str ftime +IL D +Ġto e +ĉ Node +") čĊčĊ +ĠPu erto +Ġexec uting +ĠG UID +Ġoppos ing +al ph +Ġexhib it +_fl ash +Ġme ille +Ġjson Object +H ero +aint ed +_D OM +Ġw il +Ġslo pe +Ġm Ã¥ +ĠIraq i +Ġorgan ize +ĉj Query +H UD +sh ine +. we +ĠSk ills +pons or +Ġcon clusions +Ġre forms +Ġrel uct +n amed +ĠOl iver +Ġ// }Ċ +- looking +Ġf og +ĠH O +ĠF ried +Ġinev itable +ĠData GridView +H our +il les +log ical +Ġconnect ivity +.tw ig +ĠK yle +(d st +- Sh +ĠStud ios +( Level +.j et +_PRO TO +-de coration +OT HER +Ġread ily +.Param eter +Ġmultip ly +ĠL IB +ar med +Ġsoon er +æ Ħ +_ ES +Ġfoss il +ĠA nc +âĢľ This +l odash +Py thon +Ġhist ogram +west ern +Ġinf ant +Ġco ordinator +Ġn ib +: m +Ġres pected +Ġdef init +& T +_p ad +ĠTr igger +th al +Ġimage Named +Ġbeat en +ĉ rc +ĠPal ace +Ġhaz ard +Ġisol ation +_ rc +cont re +OUT PUT +Ġre ign +ĠPl ate +AT ES +Ġfl ux +Ġpack s +.get Selected +Ġparticip ated +Ġneed le +-de pth +:::: :: +-l aw +ins pace +on itor += no +ĠAt omic +ĠBr ain +Edit able +-s c +red ential +ĠP erry +k ie +Ġ ----------Ċ +.st roke +( Intent +Ġun ity +um lah +F urther +Ġpr ze +Ġs ø +ãĤ Ĭ +ĠPROC UREMENT +ĠH ousing +Ġatt orneys +Ġcomp ose +atter ing +" What +dra ul +Ġstraight forward +In stant +.J TextField +Ġtr ades +л а +Ġ{ ! +Ġl ately +IM G +ĠA ld +ĠIN NER +Ġcart oon +.S ource +F ALSE +Ġd ough +f en +( rect +Data Table +N ick +ĠBut ter +read s +_com ments +EN V +ĠConnect icut +-F IRST +ĉĉĉ ĠĠĠĠĠ +ach i +.M sg +re ction +Ġrelax ed +Ġsha ft +Ġe f +ĠAdd ing +Ġbre ach +Ġ ï¼ļ +ram a +Ġconduct ing +Ġ( ; +(g l +ĠCA USED +ash i +ĠF LAG +ĠCom merce +ĠIN TEGER +h ours +ĠSchool s +Ġn ucle +Ag ain +pro j +Ġsevent h +EMPL ARY +(m ock +'] ,čĊ +_S PEED +> false +Ġsp a +ĠN ear +ì ķ +Ġintr ig +_m embers +w ave +Ġanalyst s +_O S +ed in +ĠF ri +Ġretrie ved +Reg ular +_ obs +EX PORT +')}} " +" class +__ (( +b ucket +Ġst ro +ĠP atch +yst ick +ful ness +ap os +D a +ĉĉĉĉĉ ĠĠĠ +Ġen rich +un ordered +h ole +C ong +< Product +ĠC urt +( the +_l ower +Ġavoid ing +Ġbu zz +Ġv iable +ub a +- is +are l +Ġact ed +-d etails +ภĩ +ĠThe ory +ĠP un +ĠAn onymous +... "Ċ +è res +åı ¯ +ĠV ision +_se m +ash a +Ġcelebr ity +Ġend Date +Ġpop ulate +Ġcu is +qu ant +f loor +Ġglob ally +Ġcru ise +ĠStan ley +Ġb ikes +.get Connection +Ġpoor ly +_ other +amp ing +." );ĊĊ +od i +_A DMIN +.color s +ĠG aming +> ';ĊĊ +STR UCT +Q R +ID s +(arg uments +_a ux +( Event +_PR IVATE +ĠTre k +Ġdownload s +m utable +_STR UCT +(w x +Ġdom ains +js px +ĠVi agra +Command s +J s +.c fg +Content Pane +ĠEdit Text +à¥į ठ+Att ach +ĠAR M +posit ive +ĠGener ated +Ġse ized += : +Ġelectron ics +ĠApp Component +/ ',Ċ +.equals IgnoreCase +Do ctrine +d isk +ĠPolit ical +CH O +< F +ĉ height +ĠB ug +. le +ik h +Ġmill iseconds +Ġconstit u +m ag +.n l +-r ange +ang gal +', [ +ropol itan +Ġà ľ +ĠU C +.d esc +-L AST +f stream +ib il +Ġf ier +VER Y +Ġë ³ +IR T +_ UI +( abs +Ġkne es +Ġro okie +ĠV ac +are na +comm end +- \ +ĠSUB STITUTE +So ft +Ġpart ir +we alth +è¦ ģ +(d ataset +ĠCl imate +- show +Ġreli ability +_ch unk +ä» £ +_st ock +ĠEX EMPLARY +ï¸ ı +Ġv ÃŃ +Ġsm iled +Ġdr ill +.F unction +ĠS I +Ġreg ression +- X +ĠJ ar +p ref +ĉs uccess +ĠHit ler +Ġinst inct +Ġfem mes +Ġlo ver +< Ċ +Ġmulti plier +r il +Res ize +ĠAuthor ization +ĠK an +Dispatch ToProps +Ġc rops +t okens +ec n +ential ly +ĠINTERRU PTION +f ake +Und efined +ĠA K +ĠTest Case +Ġr ab +Ġtor rent +ĠO t +B ars +Ġlect ure +Ġen jo +Ġrespond s +Ġindex ed +Of Work +_ch ain +)) -> +ĠBeaut y +Ġ` < +Ġtouch ing +Ġ| -- +ĉf lag +normal ize +Ġtr apped +Ġestablish ing +/b uild +A J +f y +- react +av n +RI PTION +Ġk ut +ĠF ashion +ĠIn form +cur ities +< byte +ĠUkr ain +Ġs ug +Ġconsist ing +ood le +. ctx +.To List +Ġcomment ary +Ġtransf ers +Ġn ost +ih ad +ĠU pper +Ġconf using +miss ing +- cl +Ġbound ing +Ġcongress ional +Ġreve aling +d h +r up +Ġt res +re peat +, ĊĊĊĊ +_t ac +Ġexp ed +G irl +h orizontal +Ġ"../../ ../ +( option +Ġwe iter +ĉs ql +Ġ=> {Ċ +Ġgar lic +Ġre pr +Ġrepl ies +( prop +Ġspir its +Ġins pire +Ġbas ement +.re ject +Ġhint s +Ġpoll ing +ĉ ĠĊ +_r ating +Ġc ath +av ier +Ġcomp ressed +ĠV S +] ' +Ġjud icial +ĠT rend +tr aining +EST AMP +ogn ition +Ä ģ +SE NT +vent ions +Ġconsult ant +um ph +Ġuser Service +, NULL +k h +D ear +_B AD +it ations +Ġmet aph +' é +and ise +-f ont +.ch art +Ġs g +_ Controller +.j peg +ĠUL ONG +ĉg ame +( ss +ĠM aj +ĉg o +ĠS ad +ĠB erg +ĠM ine +P ack +Ġres istant +ĠR OM +Ġp eg +ĠStan ford +ĠY ahoo +Ġsca led +Ġl an += [] +"/ > ččĊ +Ġs ud +ĉ background +Ġsch olars +-m uted +ar á +Ġ= ==== +Ġ__ __ +C reat +ene ver +/w p +ĠV PN +Error Code +) ],Ċ +(b uilder +ĠEn emy +S ensor +us a +Ġtr iggers +Ġplayoff s +_RE Q +Ġ( ~ +ĠBar ry +Ġperman ently +ĠR UN +Ġb ure +.Fat alf +Ġch ick +ĉ panic +ps i +ok a +éĢ ī +> [ +Ġunderstand s +ĠJun ior +ĠIN FO += mysqli +ust ain +-s ource +s erv +ĠC REATE +. au +Ġsell s +ĠĠĊ ĠĠĊ +E urope +z w +pre h +ĠNS A +Ġx y +ภ´ +ĠB eyond +Inst ead +Non Query +Ġar ise +Ġavoid ed +.em place +_model s +} ),Ċ +Ġh id +Ġ& _ +.p oints +.get Width +.Ex ec +Ġ// // +ĠS essions +... \ +ĠCol omb +Ġacceler ation +rest ore +Ġ ile +ob ic +< Node +ĠD X +ĠBes ides +. age +ĠCont ains +N ational +ĠIm plementation +Ġeff ic +ĠR M +H y +ĠWed ding +ok ies +Ġrec ursive +Ġprosec utors +.Se lection +ĠForm ula +Been Called +[i i +ĠFr an +Ġtraged y +_F EATURE +Ļ ¨ +comp ass +ĠB h +? ĊĊĊ +.w riter +ĠH our +Db Context +io v +am on +re pr +é ĥ +ĉf i +'] ] +ĠD ry +. ro +ĠO bserv +æł ĩ +Form er +ĠB alance +ĉ json +Ġpr zy +I SS +( sock +ĠL INE +Ġde ce +Ġal ly +Ġtend ency +F un +Ġschem es +Ġinter ven +æĺ İ +Ġad verse +quote lev +Ġsacr ific +_s ide +Ġmut ex +AG IC +Ġocc urring +ĠCommunic ation +um ar +ç¼ ĸ +ĠTreat ment +.p erson +ĠL C +Ġe ch +( (" +ĠDise ase +ä d +ĠA Z +.A ccount +Ġcontinu ously +END ING +ĠRET URN +- string +.f ilename +syn thesize +Res ponder +( opts +reg s +Ġn uest +Pe er +// ------------------------------------------------ +Ġg auge +ĠK in +.s chema +Ġarr ange +ĠBl ake +_Type Info +C over +ĠHamp shire +P aper +-in ner +util ity +Ġcross origin +F OR +Ġign oring +ĠD D +av an +Ġtrad itions +Ġget String +Ġeth ics +ĠMaterial s +DE SC +Ġen zym +io let +ĠCh ip +ĠMc Donald +Ġn erve +ç Ħ +") ] +æ± Ĥ +ĠS ugar +_S IM +j peg +Ġdiscret ion +ĠT N +bo ve +ĠMin imum +ĠForm Group +Ġwork force +ĠExec ution +err er +ĉ ĠĠĠĠĉ +Ġpres cribed +.Text Align +OP EN +ĠP B +im ity +ĠEx ternal +° C +ĠApplication Controller +Ġb arr +imp licit +_d ot +ĠCol on +C OLOR +.Pro ject +* }Ċ +pl aint +get Text +Ġindivid ually +Ġcheck box +U Y +ĠL amb +Ġdys function +ĠL ar +à ° +ĠCre ating +');ĊĊ Ċ +" They +loc ations +_C ORE +Inter action +umbn ails +ĠPart ner +b rit +Ġless er +ĠSl ot +set Attribute +ĠW ave +.p o +/ store +Ġbrows ing +_p d +sum e +s ed +Cur ve +Ġpl asma +Ġsusp icious +ìĿ ¸ +ĠB ah +ĠExp licit +_C C +.Client Size +\ View +Ġsub stit +lo on +ĠG AME +ĠB rid +Ľ 建 +_ User +Ġsqu ares +f one +Ġsac red +ug hs +] interface +ĠTh row +ĠK irk +Ġemp ire +Ġassess ed +T ax +ĠHe aven +-b uffer +_STAT IC +én é +-b ordered +Ġpun ct +(m ode +Ġke ine +S ent +ĠCal cul +ĠE ve +Ġsty lish +Ġoil s +.Test Case +Ġtrad emark +Ġliter ary +Ġconcentr ations +ĠRel ations +( Class +Ġstd in +Ġv æ +back up +. VERSION +.AutoScale Dimensions +st arter +Transaction al +- panel +St udio +k c +ĠCh amber +ĠSpi el +Ġr ho +ا ÙĦ +! ' +.At tributes +Ġmurder ed +apeut ic +Ġint imate +Ġtext Field +ĠBuff alo +d ummy +" % +ĠLib erty +ob ar +ĠT ank +ĠPop ular +erv isor +ĠIn iti +ĠM all +ĠP rior +C AP +ĠCl ay +ĠCert ificate +.L ock +-st rip +-dr iven +/ all +ĠMessageBox Buttons +_SE CRET +_p b +Ġr ats +ा ठ+Ġn t +.R outer +_top ic +Ġt ennis +ĠP UBLIC +ĠActiv atedRoute +Ġ' ,Ċ +Ġcost ume +Ġj okes +. Handle +ĉ byte +Ġflav ors +( cc +Ġperson as +ĉ image +ĠN azi +Ġgram mar +Ġú lt +Ġval ve +Ġv ic +ĠR achel +_in valid +P refs +std int +(r oute +Ġhtml specialchars +Ġpe oples +pl ine +Ġn v +ĠQu ant +opp ers +Ġcurrent User +ĠC atal +Ġrecon c +Ġconj unction +l x +amb urg +Ġinflu ential +d anger +ind ers +Ġ% @", +.config uration +os ome +. identity +Ġpick er +n ost +ĠDI Y +Aug ust +ab lo +Le af +ĠRec o +ck o +DO C +ĠH erm +: any +ĠInt erview +ĠT ex +x fe +( work +Ġle ap +He ading +Ġqu arters +\ Bundle +re b +Per haps +ĠG mbH +B irth +ĉ sum +ĠWat son +.n il +ç ¡ +{ }ĊĊ +ica id +Get ter +" name +Ġ" čĊ +_n one +z m +ac ute +uest o +Ġs ous +Ġre build +Ġnewsp apers +ĠH az +Ġk its +if o +Bl ur +Ġsu ited +- In +à ¯ +ĠKe ith +ĠNor way +IN IT +ire ccion +iet ies +_us age +ĠDou g +r ise +Ġtr illion +im ited +ĠR EL +al ic +Ġcritic ized +the orem +Ġce ase +Ġsid ew +ĠT erry +Ġsubs idi +Ġfirm ly +Ġaw s +Ġh ott +Ġdress ing +bad ge +ĠApp lications +è¿ ĶåĽŀ +Ġlaugh ed +Ġh obby +Ġmus icians +Ġ* . +. placeholder +Ġcount ers +ĠCap itol +SD K +Ġhel met +and box +qu it +Ġcriminal s +Ġteen ager +( update +G l +.se lection +Ġdis charge +Ġpresent ing +ufact urer +_UN KNOWN +Ġstress ed +å Ļ¨ +Pro to +_cor rect +ha us +Ġren ov +Ġfire arms +Ġtechn ically +-b rowser +Ġc andy +St roke +Ġexec utor +Ġocc urrence +ĠIP v +_INTER FACE +ĠRetrie ve +.b ad +Ex change +Nav bar +ĠK id +(get ApplicationContext +_ST OP +ĠB oss +List eners +Ġshoot er +ĠAl b +ä ch +Ġp ix +.key Code +al one +Ġabs urd +ĠC um +ĠNewton soft +ik t +Ġlaugh ing +Ġcapital ism +ree Node +T x +_QU ERY +.S leep +( login +Web Element +Ġcelebr ating +Ġde precated +Ġma ar +Ġart istic +_ASS OC +ĠBorder Radius +ĉw p +Ġsurviv ors +In ner +- red +Ġprosec ution +_ pp +(" $ +Ġcomm a +un checked +graph ics +r ors +G ROUND +( public +Ġcustom ized +ĠArk ansas +ĠR ew +Ġexp iration +× ķ +ĠC ul +Ġn ons +.F ilter +Ġsen ator +_def inition +ash ington +ym ph +/ J +Ġf use +ram id +ĠSup plier +Ġaut ocomplete +Ġ} ), +." ĊĊĊ +_function s +ĉ to +.e val +ĠT Object +Re ferences +Ġhe ated +H AL +Ġ)) }Ċ +} $ +ĠB arr +_UN IT ++ $ +Ġget Value +ip ed +ch ied +(v m +c ue +_int eger +_c ourse +th ird +Ġrevis ed +** /Ċ +_D IRECT +Out Of +(" ( +ĠFe el +Ġre ass +Ġsub title +per i +n f +Ġenjo ys +Ġtreat s +) this +-t abs +anc ers +Ġcontin ent +Ġcard io +S er +. question +Ġph rases +Valid ators +Ġpop ul +Ġl ÃŃ +s ong +_IN TERNAL +Ġadvis er +Ġp uzz +Ġambit ious +ĠT ob +ĠD P +Ġpres idency +Ġsurre nder +Ġwatch es +_b inary +ĠSo on +Ġcan ada +(" ")Ċ +] =' +ĠBr andon +eps ilon +r w +.add Child +.C opy +Pr incipal +Ph otos +Ġmarg inal +Ġbas ics +e ing +M ust +_ String +Ġo le +M agento +.c ustomer +(p rev +ภ¥ +Ġlo yalty +C og +Ġprot ocols +ĠCom panies +Ġtheoret ical +Ġaccess ing +ĠZ en +. ones +att ice +_w orld +z es +Ġtatto o +Ġmen os +Ġinter sect +"] ;ĊĊ +bel ie +Ġin active +.read line +-label led +.d one +lick r +ĠW ORK +Ġderiv ative +Ġd atabases +âĤ Ĥ +Ġs x +.is Array +Ġy s +Ġp ada +ĠBul let +(` / +is Active +ĠCG Size +(equal To +ĠColum bus +Ġmar ry +DE V +_l imits +ron es +I AS +Ġt au +min o +_W rite +ĠW ine +Ġ[ [' +ĠP ull +rit ers +ri ents +Ġsh ifting +up p +_TIM ER +ĠCondition s +Ạ¥ +ĠOr ders +ĠSt rength +æī Ģ +Ġvalid ity +Ġf ot +et ur +Ġb olt +åĨ ħ +ĠAl ong +os hi +Ġassum ptions +Ġmag azines +_S PI +Ġp unt +_PRO DUCT +Ġrel ay +ĠJ avascript +. te +- es +Ġwidget s +(f s +< Item +_ex tra +Ġrecru iting +E t +Ġnecess ity +p w +Ġnov els +uss els +Cre ator +ĠM VP +ĠO C +th ood +cl ients +)) * +Ġcharacter ized +_SE ND +ut i +T y +.from Json +@ Service +ãĤ Ĥ +Ch ris +_ Is +ĠJohn ny +Ġclean er +ĠInitial izes +UN K +( axis +еР· +ie val +ĠWar riors +} )( +DM I +âĻ Ģ +ĠTre asury +Ġfe as +Ġsl a +_EN UM +l hs +ĠIn stit +ipp ers +Line ar +Re ading +quir ies +-c ell +ch rome +.S earch +IN A +ç±» åŀĭ +ĠĊ ĠĊ +ĠSam uel +Ġmill s +Ġdon ate +ĠGe o +( rows +Ġshe ep +Ġé l +ä½ ĵ +Ġb em +_UN USED +ĠR CC +Ġintrodu cing +att a +ĠP riority +ĠF B +ĠSer ge +> "; +atch ing +ĠKnow ledge +ĉ The +; margin +less ness +op ard +um atic +() ));čĊ +Ġf als +(c ache +Type Id +éĢ ļ +_ choice +ĠGo th +ĠS ites +M G +_b order +Ind ices +Compar er +ĠRed istribution +Ġclo set +Ġvers atile +Input s +**************** **** +Ġob esity +qu iz +gr a +(g lobal +åĬ ¡ +Ġcollect or +Ġk or +ov able +AD C +ĠEvent Handler +. nc +Ġplay back +ient os +_p erm +_W ARNING +ĠOlymp ics +.n orm +ĠBroad cast +_sm all +dr ive +. iloc +Ġtyp ed +M EM +_con s +DM ETHOD +Ġl un +.d istance +(p ar +po on +Ġb ast +activ ities +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +: čĊčĊ +S ER +) && +_l st +ĠPol ish +Ġknock ed +Ġfrustr ation +au kee +Ġph osph +iqu id +_c oeff +æŃ ¤ +L atest +ĠD ust +T ipo +Ġmaint ains +Ġmar sh +inc inn +l bl +C are +Ġneighborhood s +_g pio +ĠAr senal +D em +ĠW he +_h ook +Ġl dc +ĠHar per +ĠBer keley +Ġgrad uated +Per cent +Ġarr iving +ĠAdvent ure +(s cope +(' * +qu arter +ĠMar ie +Spe aking +_code gen +Ġimm un +c aster +ãĤ Į +åķ Ĩ +ĠDim ensions +.rec ord +Ġtext o +ĠMich elle +P ending +( by +_P AR +uch t +be e +.Th read +amp ire +k now +ĠClin ical +Ġmargin Bottom +Ġdistingu ish +.F ull +. undefined +ĠSequ elize +################################################################ ############ +Ġeduc ated +_O VER +åº ı +ĠÂł ĠÂł +_e ach +Ġur ge +de part +Ġdon ors +ĠA u +Ġbill ions +Ġbelong ing +_ age +_ Int +Ġsub stances +m achine +!! !ĊĊ +Ġjson ify +ib bean +ĠC ad +Ġend Time +Ġc ycling +ĠUIT extField +Ġle verage +Ġvan illa +e at +La unch +( pt +st ates +ĠControl s +ĠRes pons +ĠJ ake +Ġas leep +fort unate +.next Line +Size Mode +ìĿ ¼ +Testing Module +G erman +ĠInvest ig +.re verse +ĠB ACK +( DateTime +Ġnon profit +ĠEx pect +Ġt anto +'] ), +ĉ the +M ultiple +(get Activity +_W AIT +Ġj á +de cor +lev ance +ĠGit Hub +min ation +_qu antity +.Sc anner +ĠL ion +éĶĻ 误 +Ġd re +Ġtan tra +Ġcontent Type +Ġf id +_ alt +NS IndexPath +- pl +åĮ ĸ +Ġantib iot +table s +ac ial +ĠReg istry +Ġol ive +ig ers +Ġsubscri ber +_p res +ĠSy ntax +Ġlo vers +. Byte +old ers +_for ward +al ways +C aption +Pr iv +ĠT ampa +is ateur +-labelled by +ĠTo String +Ġì Ĥ¬ +Ġinit iated +W F +Ġinstitution al +in ject +ĠSc r +Ġdo ctrine +Ġsp acious +is ure +ĠAn a +" time +ess aging +Ġc id +ĠN an +Ġin complete +T AG +-b uild +Dec ember +Ġres idual +(P DO +ĠList en +Ġg lyph +Ġg aps +ne a +.R ect +Ġsa u +ĠPhot ograph +Ġexec utable +ĠExp ert +Cor outine +_s izes +ĠN L +.is Valid +); }Ċ +- reg +Ġc iting +c wd +ĠOtt awa +ĠB att +Ġrenew able +Ġprelim inary +Ġas ylum +Ġw rist +Ġutil iz +Ġdet ention +F ast +Ġan ge +incinn ati +Ġste ering +ĠNa N +ios ity +/ page +Ġè ¿ +ster ol +Ġdis g +( DB +ĠDESC RIPTION +Ġ_ $ +Ġobst acle +Ġb izarre +Ġextr action +_ex pected +Ġlos es +ĠCele br +Ġhtml For +Ġexplo it +олÑĮз ов +XY Z +Ġmagn et +amp ed +Ġat oms +S ources +pect ives +Ñģ ли +Ġ= čĊ +Ġd are +ĠWal ter +Ġbright ness +Ġan notations +ë ı +is ke +S chedule +. images +ros so +Ġ" .. +g amma +Ġin structor +Ġover write +- am +Ġdevast ating +ĠSaint s +Ġh s +Ġbon uses +$ output +ij d +(Action Event +mon itor +Ġmatt ress +Jan uary +.j p +Ġcar acter +Ġim pose +_re st +ĠSign ature +Ġcoron avirus +ãģ Ĭ +_com pare +Me asure +it ated +el ijk +ig os +es ar +Ġrush ed +met ry +_SE PARATOR +_W E +_ATTR IBUTE +Ġy aml +Ġspec s +ĠR ah +ph eric +ĠInvest ment +ä ll +Ġappe aling +Ġview port +ç © +Ġmargin Left +Ġsub tract +ĠED IT +ĉ ArrayList +gr ading +ĠF ailure +as per +EE K +(n ow +< object +ĠAl ignment +ple ado +q tt +( ERROR +ĠIN VALID +Ġuser id +ra ises +ID I +Ġvari ance +ĠN il +/ delete +_M AIN +.T oken +.C ategory +> )Ċ +Coll ision +ĠGre ater +ĠR acing +al an +Ġmon etary +, new +ĠS orry +. Enable +ĠInstant iate +oll en +ë© ´ +ĠCall ing +_h our +AD A +Ġsh y +) ** +Ġ== > +Ġes pecial +Ġinterpre ted +! =" +Ġpharm acy +.s ingle +ĠC ialis +Ġpar as +.to UpperCase +ĠDem on +Pr ime +Ġrank ings +Add ing +_H ASH +ĠEx am +Ú © +ĠVict or +Ok ay +"] ;čĊ +Ġfort une +ĠF ETCH +exp and +.Inter op +Ġb arn +æ ¶Ī +ue vo +Ġspec ulation +âĶĢâĶĢ âĶĢâĶĢ +ĠN u +ĠBl ues +(f name +Ġinhab it +Ġ\" % +C ES +ular io +_c r +Ġvalid ated +Ġmid night +ank ing +Ġincorpor ate +Ġpurs uit +EX P +pr ime +P id +- US +ĠN urs +ĠW heel +é ĺ +Ġin p +Ġsupport ive +.m ember +ĠSh ot +.Check Box +Ġaff irm +T or +Full Year +Ġconsider ably +cred entials +_ opts +R oll +( round +Ġcom ent +_U ART +Ġext ending +R G +result ado +it u +.get Session +Ġattr action +& D +$ html +ĠJess ica +ĠAssoci ate +a ñ +_ ed +ĠL ag +Ġorig ins +()) -> +add EventListener +IAL OG +åIJ ¦ +.Com pare +Al bum +ĠK u +< Q +arg est +Ġpro long +Ġconfig urations +Ġaccident ally +_ph oto +Ġ'' ;čĊ +Ġver se +B ob +Ġfarm ing +del ivery +ĠM ack +Ġuse Selector +.bootstrap cdn +keep ing +en y +. upload +ĠM ETHOD +cre ator +< _ +ĠE aster +. -- +UI Button +ãĤ ī +om eters +Ġsh ine +Ġh ogy +\ s +Ġh arness +.C ell +Ġlif ting +Ġcomb ines +ĠOcc up +ex clude +pat ial +Ġres pir +_f it +Ġfif ty +ĠM ol +Ġtun ed +-d imensional +Ġq s +Ġto ps +> ";ĊĊ +quis ite +ch annels +/ res +ĠAn alytics +.app compat +/ to +Ġon Error +( attr +IR M +Ġrag az +- as +.Se cond +orient ed +Ġdon n +Ġlight ning +f id +ĠP le +ãģ¾ ãģĻ +t ro +.Tr ue +O bservable +× Ļ +umb ing +Ġpros pective +-f ilter +Ġpurs uant +(p oints +.B ind +Ġp alm +clear fix +ö s +ĠG onz +Ġwe aken +Dr ive +en ido +l ld +ob ox +ane an +G ot +ä¿ Ŀ +Reg ex +æ ĥ +Ġsal ad +ass is +" net +inherit Doc +ĠR V +qu ier +Ġcl azz +ı ÅŁ +oster one +Ġair line +.list dir +Ġdownload ing +ĠP alm +w aukee +& lt +.B L +_IN LINE +off s +<< ( +_new s +Ġch ase +/ >< +Ġeuro s +ĠEgypt ian +ĠSt ainless +_BO OL +ĠG uild +ĠD ynam +[index Path +Ġ ï +Ġmemor able +ĠCh ampion +Resource Manager +.Log in +ĠForm er +yp ed +Ġl leg +; ", +D WORD +Ġtax i +Ġbom bs +ra h +.t ags +_test s +st ones +âĢĿ ) +[ g +r type +Ġv u +Ġhost ile +Ch ars +ĠPatri ots +/ status +< B +ĠIn come +ĠD ad +Ġpat rol +_CH ANGE +Ġup graded +Ġch ina +set q +Start ed +.U ndef +Ġcheck sum +Ġfrustr ated +{ o +Ġen f +Ġwood s +ĠAny one +Enc ode +ĠQt Widgets +are as +Ġshe er +sk i +end point +_T est +S oup +~~~~~~~~ ~~~~~~~~ +(f iles +ĉĉĉĉĉ čĊ +.sp ark +Ġval ued +Ġ% Ċ +.control s +ĠXCTAssert Equal +Ġf ame +ĠR ic +D OT +ĠAlbert a +ä½ ¿ +os al +.Web Controls +Ġ ------------ +ĠM is +ĠS YS +Non null += item +Ġexp ire +Dec ode +_ operation +ĠValid ator +.C ENTER +uff s +* m +Ġav ant +æ¬ ¡ +âĢľ You +.per mission +... ) +ĠL ic +_co ords +.n ombre +c lo +.Int ernal +ĠCh o +_s w +ĉ Il +cl k +Ġcast le +(l ayer +p it +Ġgu ided +Ġâĸ Ī +Ġsuper b +Ġsup plements +_c ent +Ġpe ek +IN ARY +.Content Alignment +f alls +")) ; +W all +). čĊ +ĠD anny +irm ingham +IAL IZ +( create +" In +Service Provider +Ġpr iced +mac ro +am ac +. box +---- Ċ +ãĥ « +ĠS uit +ur st +br u +ourn als +num ero +__ ()Ċ +D as +ĠM itt +ud er +? \ +f u +[ B +Ġ: )ĊĊ +(int er +br ains +Ġatt itudes +Ver ify +Ġsign atures +ack Bar +Ġg d +J ack +.c at +Ġz z +war f +FT ER +");ĊĊ Ċ +Al ive +IC LE +ĠWh atever +Ġout lined +s prite +еР² +_A B +_DE PTH +Ġcrush ed +aa a +(e v +æľ º +Ant i +IC O +is EqualTo +.s un +ic ulo +s ale +_h ex +ĠV k +apt or +Un ion +ĠDis count +list a +.Undef Or +Ġautom ation +N or +å¯ ¹ +åı Ĥæķ° +Ġref lex +ĠLa ure +.showMessage Dialog +.t emp +Ġa kan +Ġ__ ____ +.Is True +ARE D +ag le +E nergy +Ġquant ities +âĢĻ é +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġcitizens hip +m outh +Ġin appropriate +ĠOut door +White Space +An onymous +load s +webElement Properties +T en +Ġacc idents +Ġadvertis ement +ĠY emen +(c all +Ġsl avery +Ñģ п +ĠL am +_BIT S +ome ga +ĠO le +Ġkid n +_A n +ĠR aid +Cre ation +s aved +Ġpro port +W ARNING +\ P +Ġp wd +Data Reader +is cher +ade on +ĠP redict +Ġreason ing +Ġdestroy ing +H el +* d +ĠLeg isl +_P r +ĉĉĉ ĠĠĠĠĠĠĠ +Ġsymp ath +Ġch ess +Ġm am +: hover +Ġconvert s +Ġp ela +Ġprogress ion +Ġ"_ " +ĠG ill +ĉ show +Ġsupposed ly +ac curacy +el in +Ġunf olding +ĠHy per +Ġw anna +Ġup s +( # +ĠCr iminal +( Point +at Lng +act ly +Ġcontract ors +'] } +draul ic +ód igo +ĠT T +ĠW ide +ĠAR G +_ ic +FLAG S +S chool +Ġclear ing +-be ing +={ [ +, const +man ent +Over lay +(' " +éĩ ı +ĠT imestamp +Ġmail ing +ĠC ake +.Th at +Ġmed itation +q p +Ġemp resa +ĠL ions +Ġw eld +ĠLinked In +Ġc ush +Ġgen ome +.Index Of +ag ain +Ġf allback +Ġcamp ing +re dd +-strip ed +Ġd v +Fe bruary +ĠPro xy +us k +Ġdies el +W RITE +RE AK +L orem +.In voke +- div +Inter ceptor +ĠD H +ia les +Ġvill ages +Ø ´ +ĠEN V +S ys +.X R +Ġpo em +à Ĥ +c ade +pl ots +Ġ{ ( +.g it +/s vg +nc mp +ĠÄ į +ain es +åĩ ½æķ° +Ġ( )ĊĊ +ops is +ĠRel ationship +_ aut +ĠB omb +ĉ com +* sizeof +off icial +_p ayload +ĉĉĉĉĉ ĠĠ +.m anager +ĠA round +ĉs end +ĠEx ercise +ĠB illy +iv i +Ġneed ing +_url s +_t asks +ĠH em +Ġtear Down +enc rypt +.t ie +Ġas m +IC H +ĠCGRect Make +ìĦ ± +ul ong +Ġit r +ĠG ST +Ġoffer ings +ro be +EE E +oper ators +_PRO P +ind ent +A DE +or f +ë IJ +Ġbless ed +vas cular +Ġcon oc +H appy +B ridge +ilit ation +j oint +ĠAdmin istr +- transform +Ġmeant ime +/ K +ĠBed room +Ġrig id +Ġbrows ers +EM PTY +.S erialize +_ ED +Ġst itch +Ġj an +ell t +Ġbr ace +Ġtr ails +p ublished +å¯Ĩ çłģ +} ')Ċ +Ġac ids +Ġ! !! +_d irect +> ());Ċ +aj Äħ +_O CC +Ġplan ets +æ Ł¥ +ĠDub lin +Ġser ie +.print f +de ep +` ) +Ġ\ $ +ĠÎ ¼ +_V IDEO +end ors +ĠC rypto +F ar +.Trans parent +.T R +ias m +_tr aining +Ġteach es +ĠB elt +Ġlimit ing +ĠK ath +ĠIndex Path +Ġachie vements +Ġser á +interop Require +Ġdis se +.I f +arm ing +uls ion +P o +_DE TAIL +Prot otype +ĠC AL +Ġagre es +.v o +.Execute NonQuery +ĠTop ic +Ġ' {} +Ar m +Ġe cc +M ag +Ġserial ized +ĉ conn +c ached += tf +ĠByte Array +prot obuf +var char +ĉ ASSERT +Ġlist e +_tr igger +· ¸ +Fe el +T ahoma +ĠL ik +Ġstruct ured +erg us +.In itial +_ ge +cl js +.cont act +Ġand ere +$ stmt +_C URRENT +ĠDis cover +$ res +form atter +H a +vang st +Ġem erge +ãĢĤ âĢĿ +ĠCabin et +-s quare +éĥ ¨ +Ġr age +ĠA J +ĠV T +sh adow +ĠFa ith +en ames +pret ty +has il +part y +Ġvar char +Ġf otos +Ġal um +ĠBelg ium +.y label +Ġde j +_num bers +Ġh u +.set Adapter +ĠUs ually +(s ample +.Sh ared +Ġbook ed +Ġ>> = +Ġmin erals +"> +pro g +bo o +_m d +_p ack +(ex press +ut z +\ Auth +, id +ĠCh ile +act ice +Ġrecruit ment +Ġpos es +Ġvulner ability +inst anc +or um +d ess +Ġx l +%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%% +( fig +Ġdelet ing +.d el +) ')Ċ +ĠWeek ly +?? ? +(str cmp +sm ith +Ġpurs uing +- so +ĠApp s +/ 'Ċ +Ġdec is +FO RE +Every one +Ġl anes +V irtual +. attach +( Log +ĠMed icaid +( Path +ĠTurn er +/ application +Ġport rait +Ġopp ose +check out +Ġfinish es +_M E +Bar rier +S ong +V AR +Ear lier +rell a +Ġh ast +az ar +Ġpull s +ng x +Ġinspir ing +Ñĥ Ñİ +-d irection +Ġexplos ive +Ġcreated At +st o +Ġwhe at +ĠB uilt +' ai +Ġtrack ed +ham mad +RowAt IndexPath +_ heap +D ue +Ġconnect s +.p ublish +em u +Ġbul lets +B AR +ol ate +Ġintern ally +Ġcatch ing +-p assword +ou ched +æĢ § +e ous +Ġx range +Q uality +v v +Man age +( ($ +ac ements +ĠBro thers +ĠHE AD +ĠUn supported +s an +es i +** *Ċ +Ġadapt ation +ĠWork er +'] / +.save fig +( trans +Ø ¬ +ne e +Cor rect +... ")Ċ +Ġsubmit ting +-p ath +ĉ last +iss an +.x label +ĠS epar +/ no +_b est +ĠM ills +_s ock +(f lag +Ġdest inations +em ption +ĠF AIL +å ĴĮ +Ġr p +f act +ĉ len +D AY +Ġse iz +_d st +l ip +.Line ar +ĠB asket +$ t +$ i +- brand +ĠNe il +ĠE q +Ġth ou +og ene +Ġscholar ship +æĽ ´ +Ġs wo +ag inator +en i +( book +Ġbl ink +th us +Ġcancell ationToken +ĠPalestin ians +Ġprofit able +Ġback pack +ens on +< Long +Ġp ools +Ġst icks +Ġspokes woman +Be ing +ĠHer itage +ĠN ike +SH A +ĠNotImplemented Exception +$ core +ĠR ico +/ latest +ĠC zech +ner Radius +(l ines +Ġsem ester +Ġw ounds +Pro cedure +.m ail +() ):Ċ +Ġcor rid +ter ed +ĠN CAA +Ġgal axy +_k ind +il k +Ġtr as +_P OL +ĠH et +Ġrefuge e +Ġteen age +.b inding +post al +Ġiç in +ĠData Type +é ĸ +ycl erview +, value +_id entifier +< b +Ġout file +čĊ ĠĠĠĠčĊ +Ġcr é +Ġrespond ents +ĠBe ast +ce led +Ġinter f +-th eme +g if +ĠR angers +IT AL +Ġauthentic ate +Com pletion +urs ors +Ġcin ema +Ġdisc our +ĠJ aw +OCK ET +Ġpr ayers +ĠL uis +fr ag +=[ Ċ +Ġbr ave +_p ose +C ertificate +- fe +ifer ay +ĠFl ags +Container Gap +ĠC rit +Result Set +ĉc ur +Ġcorrespond s +St aff +.Http ServletRequest +Ġneur ons +ĠMain AxisAlignment +ed ar +Ġg ad +_p arts +ĠÎ ² +Ġf x +/ files +ĠB ros +hip s +Ġgluc ose +Ġfar ms +Ġment ally +rest aurant +Table Name +ĠMer cedes +. Visual +Ġan ch +inal g +_r untime +Ġpropri etary +Ġintent ions +iz i +S lice +; "> true +ĠNY C +Ġb ored +ĠD etect +Ġapp ar +Ġje ans +ĠT ak +I OD +ĠH orse +( FILE +( ? +ri que +optim izer +n at +lo ys +ĉ Token +oub ted +u ess +oco a +Data Member +_P OWER +class List +Push Button +ĠWi Fi +. Stream +.g uild +Ġn og +ĠPortug al +ĠUnt er +Pr imitive +b oss +ĠDe utsch +Ġerot ic +Ġstr conv +.Try Parse +Ġgr ams +.S uccess +_p k +ĠHar vey +-m inded +.c ountry +[] " +Ġang el +Ġbe ats +ĠV or +il io +.m aster +s omething +ĠP ACK +( if +Request Body +Ġant es +/w idget +Ġmod o +ĠA W +find er +Ġoptim ized +Ġmiss iles +N B +ĉint ernal +t ex +ĠS ri +Ġdam aging +ĠM ais +- Allow +ĠZ h +- alt +Ġ ));ĊĊ +è ī +Ġinflu ences +Ġc atal +_REG ISTER +ĠAPI s +-cent ury +Ġbi ology +ĠAct ual +Ġhe els +TR ACE +_D IG +D ataset +ĠM atter +Ġclass ifier +.w ikipedia +ĠRog ers +Ġdon ated +raw ler +en en +Ġcas inos +ort al +Ġpr ive +s pe +duc ers +. ep +Ġgr asp +ac ji +Ġd airy +Ġb uses +.com m +. ins +ĠI RS +ĠBe er +ad c +o ard +_M ET +Ġ' +' +r ans +Ġkind a +ĠâĶ Ĥ +ĠM aur +аР³ +Ġband width +ib us +ĠD ifferent +(m at +ĠRes ume +_UN S +est ablish +Ġfon ction +Sub scription +_com pany +Ġlight ly +.con firm +.y aml +ĠBo ost +Com merce +- template +_DEL AY +ĠH I +Ġn avig +(S ender +ĠH S +_ "+ +ĠRE QUEST +Ġw ifi +=" "Ċ +]) -> +Ġro pe +Ġviol ated +Ġgl ance +ĠK urd +Ġè ® +de ck +ĠIS BN +Ġin fect +ĠF oo +Ġget ter +Ġt ener +ap pe +.h h +_h ot +< AM +p oly +! ",Ċ +Ġconver ting +ĠW WE +RO S +(' { +Com mit +) L +ĠO re +Ġsp arse +Ġdis posal +Ġcan celed +åIJ İ +Ġa er +Ġvin yl +á» ĥ +rec ogn +ark ing +Ġtrick y +* s +Ġproceed s +Ġis o +Ġco conut +Ġcraft ed +IEL DS +Ġquest o +Ġcomm un +_CON NECT +Ġtraff icking +De ep +a ções +c odigo +ve au +Ġbet ray +int a +T ED +æ r +m art +_B US +/ sc +ial ly +Ġcigaret tes +è¯ ģ +(n n +Ġmodel ing +/ products +w arn +Ġmet ro +ĠI v +& ) +ĠC able +Î » +Compar ison +g ary +ĠB A +P ART +Ġp v +_up dated +C redit +orth y +observ able +Ġthe atre +B LE +; }ĊĊ +la unch +_str ings +ug o +ĠR PG +- auth +Ð ł +hol m +ĠP and +U id +Ġim ply +ìľ ¼ +'] =' +/ User +Ġstr cat +нÑĭ й +Data Adapter +Ġland sc +Ġdipl omatic +ï¼ ĵ +************************************************************************ **** +ĠCh icken +Ġbc rypt +.In f +[ col +ĠQu antity +- position +Ġdiet ary +Ġfil mm +Is rael +Pre v +ĠMill ion +Ġrem ed +Ġbill ing +Ġout doors +.t m +Ġn ad +F org +Z Z +Ġs sl +], ' +K T +f req += document +bl ur +¬ ¸ +ĠJeff erson +C s +(s ave +Ġstr ap +Ind ia +Ġide ology +BO SE +ĠF P +( ans +Ġfe ver +ĠY am +K ing +à ² +AT ING +bo hydr +roll back +Ġnew Node +ĠN VIDIA +Ġhon our +ĠCon firm +xb d +Ġsuccess or +/ u +l iv +ourn aments +Att achment +Ġgr up +Ġtri be +Ġca res +e ft +_s ame +' label +Ġ ãĢIJ +M otor +Ġin exp +Ġ" (" +_POS ITION +Ġval ley +ĠResult Set +Ġpres erved +Ġmut ations +Ġquestion ing +mun ition +parse Int +ĠS r +ĠMet adata +âĢĿ ï¼Į +timestamp s +Ġtrans itions +í Ļ +Ñ Ĭ +i om +.D o +Ġp ine +Ġf ung +Ġtrans mitted +ct ime +ĠF am +Re vision +B as +UP ER +D estination +toHave BeenCalled +Ġun fortunate +IN ES +_pro f +Am ong +ĠCy ber +ĠB attery +gen re +ĠView Model +- = +Ġutil ized +p aint +.Integer Field +ern ity +comp iler +âĢĭ ĊĊ +ĠM asters +.To Array +Ġstrt ol +ĠUkrain ian +} ));Ċ +Ġsh emale +" That +for all +/ download +Ġrhet oric +.l atitude +ĠWH EN +Ġshock ing +IF IC +.N ormal +_F OLDER +Ġdr ift +Ġmount ing +- book +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ +ĠWire less +> ".$ +Ġrel ies +( Console +Int ernational +-> {$ +M id +Ġdis sert +dd s +Ġdepos its +ĉd river +# ga +pr ising +print ln +Ġpres enter +Ġmin es +C SS +ĠD ual +(! ( +Ġk am +Ġis Loading +ĠProt ect +. upper +ar ium +]: ĊĊĊ +Y ii +-sh irt +ĠIM AGE +_color s +Ġur gent +.Cont ainer +! (Ċ +S aturday +Ġsoci eties +ĠTh an +ĠC od += @ +Ġattach ments +.m obile +Ġsp ite +Ġb ounce +raw l +instanc etype +ĠTr uck +Ġmanip ulation +( Config +-in st +Ġst or +it ution +Preferred Gap +Ġmain AxisAlignment +Ġlist ened +'' 'ĊĊ +ott age +- project +.AP PLICATION +ĉ root +Ġwh it +Ġb ilder +Ġk er +Ġappl iances +row ave +ìĿ Ģ +ematic s +ĠO rg +op ing +_SE ARCH +Ġch am +add ContainerGap +Ġ( ). +ĠAr row +Il legal +Current ly +Ġus a +Ġpassword s +Ġre nown +av ern +ĠEv il +Ġconc at +Ġdu o +Ġv ale +ĠBe an +Ġindic ators +cm ath +ĠP ump +Nov ember +ific ant +_DOM AIN +reg ar +ĠPort al +" $ +Ġformer ly +"] :Ċ +ĠVis ibility +.getElementsBy ClassName +_RE D +Ġch ampions +à ´ +Val or +_ es +* a +-re peat +B and +.st age +Ġbure auc +C nt +et en +- function +Ġm uito +P ID +_ editor +Ġcrash ed +de ad +k at +ag h +ĠEX T +ass er +-sm all +Ġreal iz +( Entity +ú s +ĠAct ually +ĠEl ite +Ġhel m +(non atomic +ash er +Comm unity +all eng +ir y +ĠG rowth +Ġs ue +Ġfrequ encies +_des criptor +.At tribute +Ġrecip ients +_N S +/ "+ +ib an +Ġath lete +ĠI gn +_D MA +(d s +ĠRequire ments +AD I +ere z +\ Admin +br aska +ĠR ust +Rel ation +C OD +ĠV ERSION +em ma +)) { +.D uration +ĠC amb +- logo +Ġread able +Ġcre ators +() ];Ċ +Up Down +-h alf +.get Month +(s f +P ic +Ġhun ger +.t x +Ġexceed ed +_se ed +( ^ +_s k +.per form +Ġ> :: +Ġm ongo += float +bind Param +Sm art +if a +Ġse curities +Ġpre jud +Ġ, " +Ġcor ps +Ġv ra +amac are +it err +(M edia +uch e +Ġc ob +Ġlib er +. geometry +Loc ator +Ġsl iding +Ġsurg ical +_C UR +Ġcon sect +[ * +ĠRes ort +St ub +_DO UBLE +ĠS oph +Ġelect oral +_dis able +ĠÑģ о +ĠLight ning +Ġment ions +oc y +Ġle aked +Ġrelax ing +Pres enter +v sp +Ġgu ilt +=- =- +.re ply +ĠMir ror +C amp +Ġ+#+ #+#+ +Ġ+#+#+#+ #+#+ +.A uthor +Ġdirect ive +-h ook +íĦ ° +}ĊĊ ĊĊĊ +@ pytest +_r and +m is +Ġcolor ful +u je +lass es +ĠClass es +.h ave +% ), +é¢ ĺ +Ġdistur bing +sub string +ĠK oh +In vest +p urchase +Ġrec ycling +ĠA RT +ier archy +Ġf ps +.check Box +íķ ´ +_m aterial +duc ation +Ġf w +ud it +Ġreview ing +ĠS id +S yntax +ĠW ritten +arg ar +UM E +/ q +Class ifier +Off icial +Ġj azz +Ġom ega +Ph ysics +Ġl ugar +_access or +.command s +Ab ility +ĠB atch +R AM +Ġencount ers +. Qu +BY TE +ĠD istribution +Ġus o +ĠReco very +appro ved +Ġden ial +/sh are +Linked List +)čĊčĊ čĊ +udd y +Ġf ines +Ġr y +Un icode +ĉ render +Ġprem ises +Ġp on +ali ases +/F oundation +c uda +ĠC ock +,: ) +(f older +Ġm éd +dr ag +Ġtal ents +ĠĠĠ ĊĊ +е ÑģÑĤв +m ob +.y ml +Ġa ster +Ġdis cre +go al +ĠGT X +ĠS UCCESS +ĠL ONG +(f ind +Ġsing ular +_s z +ĠEth ereum +.. Ċ +Ġir res +')) {Ċ +Ġmin isters +St eps +ivers al +ĠNever theless +- led +Ġ( %) +ç¡ ® +Ġtime zone +Ġstr anger +(re nder +Ġsh util +Ġm ph +Ġtri o +pp y +Ġpred omin +Ġend ors +ĠRuss ians +ĉ row +Ġw izard +.s erialize +Ġcompl ained +Ġs ido +Ġdelight ed +-m e +ĠR av +H uman +ad ays +rec v +Work ing +J ump +ĠÃ¥ r +ĠAut omatic +_B ase +æł ¼ +aur ants + ¯ +æ ¸ +(C Type +IF I +( amount +Ġbelie ving += mysql +Ġf ir +Ġrest oration +ere co +Ð ¢ +_ '+ +Ġe book +Ġde bris +(input s +AY OUT +Ġscre aming +av ia +land er +Ġdist ress +Ġas sembled +ĠA void +( thread +ĠR PC +_EX IT +( queue +и ÑģÑĤ +D ll +Ġsk ull +_p ub +che z +min ate +ens en +Ġins ane +b ounds +ĠR osen +Ġcondition ing +process ed +v ideos +f our +.Con v +| ;Ċ +Person al +cer pt +:UIControlState Normal +Ġdos es +ĠKar l +ĠFre qu +.B ASE +ĠV ote +Ġcon current +ĠMessageBox Icon +Ġà ĸ +ĠDub ai +ĠR etail +: number +ĠOb server +ĠBig Integer +_ origin +_W ORK +F rames +Ġnot ably +. âĢľ +Ġtrop ical +Ġn iche +am ina +.s ys +(t okens +mod ify +os it +st rom +ĠCom ics +O PTION +T icket +Ġfact ories +Ġdis put +_F ile +ĠFin n +ee e +ĠDisc ord +_m oney +.t pl +_s afe +L B +Ġgl ut +J K +.fl ow +- cont +g os +Ġhor izon +ĠR ush +:: * +P ipe +ull a +bor ough +he imer +(m ove +( Text +} );čĊčĊ +w elcome +ĠCom ponents +Ġgovern ance +c losed +ĉm argin +Ġla undry +ĠTerm inal +iz ards +. âĢĶ +.rem ote +.r adius +ĠQue bec +Ġd h +T ech +ĠM ist +s eller +_l iteral +Ġgen ius +Ġbr ains +g em +ĠMe asure +Ġcata st +r ance +.Text Field +Ġconsum ing +Ġ'\ '' +oubted ly +ĠC ertain +E v +ert i +be ing +Ex perience +Ġ// [ +ĠArab ic +ĠC rist +ĠAz ure +Ġhor a +l adesh +\ Blueprint +d ar +.re l +Ġsup rem +ĠRe agan +ĠAt tributes +-s idebar +Ġuse Styles +ĠA irlines +Ġh ills +/x html +v inc +_m ock +Ċ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ +ĠP ill +.Layout Style +ĠCommand er +] < +sign ature +Ġ{ }čĊ +Ġhat red +Ġë ĭ +ole sterol +Ġ ******** +ancell or +c rop +T IM +ĉĉ ĊĊ +ys qli +uit ive +ĉun set +_s el +Ġmen us +t ick +Ġconstit ute +ĠElement s +ĠRed is +agg io +_f p +_de pend +em as +CA ST +or ange +j on +ĠEm ily +Ġpot atoes +Ġre ceptor +ĠElect ronic +ĠL ights +Ġcomb ining +ĠSome one +Ġ######## . +ĠT OD +/ show +X d +." ' +af x +Ġtr agic +St yled +ĠMar co +G allery +d ale +.âĢĿ ĊĊĊĊ +é rie +/s ervice +äº Ĩ +Ġamb ient +_SET TINGS +.Ad apter +l ene +Ġtrav els +Not ice +Ġcle ans +ĠF em +ch air +Ñĥ н +/ my +_b ad +ĠEcon omics +IS A +_C NT +(M enu +äº İ +ĠR idge +Ġlength y +D ot +Ġjump s +Ġhe y +$ pdf +Ġw orm +Ġs ut +Ġsh er +iam o +ĠCal c +trie ve +Ġc ops +ĠCh rom +Ġreg ulated +reat ment +ĠHigh er +ok s +Ġde ze +LOC ATION +ongs To +Ġfin ite +Ġvar ies +Ġposition ed +' il +éĩ ij +Ġh ike +(d one +play list +Ġad a +Ġcoast al +ĠN ancy +.DateTime Field +Cpp CodeGen +ĠSimilar ly +re ur +ĠCon tr +ĠH idden +ĠB eta +atch ed +_inst all +. Output +Look up +ĠRich mond +qu ared +Ġm anga +-control s +ĠBern ard +L arge +Ġslic es +Ġoff ence +ĠM ega +Ġest ar +Ġjoint s +Ġsum m +_pl atform +B uff +.add Subview +Ġret ained +Let ter +.d im +Ġess ere +ĠS caffold +EX PECT +ĉ RE +.long itude +ü nd +Ġstat ue +.add Widget +ĠCar ibbean +add PreferredGap +il de +UIL abel +ĠOp port +Ġimper ial +urs ion +Ġmand ate +Ġpromot ional +Ġv k +ia ÅĤ +Ġp yl +ĠCre ation +оз д +Ġsim pler +. what +ĠRec ent +St orm +. quantity +ĠL ov +" - +ubb les +_not ification +(w orld +ur ger +* (- +: "Ċ +h m +ans hip +ĠAl most +Ġmotor cycle +_f ee +Ġabsor b +ĠVin cent +Ġsound ed +ÃŃ st +Ġpharm aceutical +ht ag +ĠKind le +ital ize +ĠEm peror +oust ic +Ġspecial ists +åħ ¬ +Border Style +/ \ +RE LATED +(', ', +(ex pr +Ġh t +åį Ī +_C reate +Ġspecial ly +Ġ[] ;čĊ +Ġhe el +Ġse pt +_ arch +(in itial +% .ĊĊ +\", \" +Ġdiscuss es +Ġu pt +Ġ[ & +Ġman us +.h and +ĠM AIN +ĠDen mark +Ġ], čĊ +Ġcr yst +Ġn ack +Co ords +_in ner +Ġmid st +Ġaw ake +ĠÐ ŀ +-b reak +ÃŃ vel +_P ASS +ĠParam s +Ġdet r +Ġsp ider +ĠCon cept +Ġpre nd +CH ED +.Ex it +Ġpop ulated +Ġvirt ue +_SE SSION +Ġnou vel +o auth +Ġд аннÑĭ +r ink +.Header Text +atur ated +Ġer st +Ġå ħ +ॠĩ +_vis ible +ey er +Ġli able +Ġde be +Ġb w +{- # +_W IN +df s +H over +ĠP UT +- angle +Ġnob le +Ġtr aces +enc v +Ġuser Data +_in s +ĠS uz +Ġnews letters +ĠMod i +Ġentreprene urs +Ġtrib ute +Ġrum ors +Ġr r +ĠQu arter +ê³ ł +Ġfeed s +ó g +Ġen velope +Ġle ar +Ġk ø +develop er +Sim ilar +: ")Ċ +sub scription +Mod ifier +ital ic +Ġn asty +Ġtermin ation +Ġchar ming +Ġâ Ł +ton s +.tr ace +h ots +ĠU R +M ont +Ġjust ified +ĠG ang +ine a +Ġb og +( ap +_ $ +Ġcont amin +.D ot +ĉ Debug +( exports +Ġpa ired +ĠAss ignment +Ġautom obile +ĵ į +Ġph ases +v w +@ SuppressWarnings += \ +r ant +- ed +ĉ await +Ġcert ificates +'> " +Ġint act +CT RL +M ike +greg ation +AT TERN +Ġre public +_up per +ili ary +Ġcomput ation +h ire +ĠSh in +_ ANY +ĠManufact urer +ĠC arm +Ġbear ings +_c omb +c ad +ur istic +Ġwholes ale +Ġdon or +.inter faces +press o +ĠBr un +-c lose +pro ve +_S K +ĉf rame +et ros +ĠP ain +_EX P +ĠL T +_f s +.dat as +ĉ ss +vo ir +ĠA xis +M ajor +=" < +[ h +Ġprof ess +igr ate +(s core +Key word +" os +ĠĠĠĠ ĉĊ +an alysis +Ġre play +.p ass +\ d +t ls +Ġsan ct +.l ight +_m obile +ÑģÑĤ ÑĮ +ĉt otal +u ity +Ġpa used +N AS +Ġen core +lo e +Ġ-* -ĊĊ +.h igh +am pler +ĠSec ure +Ġfrag ments +_ vel +ill ary +ĠSte in +ĠD awn +Ġmax imize +ภ¢ +Ġ/ ^ +Ġcontin ually +Ġsh adows +ĉ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +ĠI ActionResult +Ġinform ación +C HECK +.Selected Item +b undle +ol ley +< Int +AIN ER +ĠW ing +tit les +ount ain +C Y +ĠLoc ale +form er +< context +R adioButton +_s chedule +Ġfab ulous +Rob ert +_PRO FILE +Ġg ates +IM P +ĠPent agon +g old +b ach +employ ees +R otate +Ġch amp +Ġsel bst +Al tern +Ġconvert View +/ , +Ġ~ ( +St reet +_ place +Ġpersonal ized +P ublisher +ĠSO CK +_NAMES PACE +ĠStand ards +so ever +_C ENTER +Inter est +ô t +tem perature +View port +get Resource +Ġeat en +Ġsem pre +Ġab normal +Ġc ylinder +Ġtroub les +n od +Ñĭ в +g ames +_g l +Pl ane +g rey +_t bl +.Component Placement +ĠCh ase +Log ging +man y +ì Ĩ +Ġfl ame +="< +Ġtra jectory +_r ing +Ġhydro gen +tr on +Ġstat ute +Ġcondition al +Ġtr ay +-s chool +(w idget +$ config +Ġrequest ing +. uint +et on +brit ies +Of Type +AD MIN +p redict +Ġg egen +ĠH app +OC UMENT +ĠA part +Ġ---- - +ro e +u ide +just ify +ĠSqu ad +Ġprof es +.b ot +_c urrency +inn en +ĠM umbai +ĠNum bers +avana ugh +agn itude +âĢľ There += http +çī ĩ +Ġv b ++' {{ $ +Ġin ode +s il +Ġh ace +Ġsever ely +ĠOver view +Ġspr aw +Ġbeach es +: left +· » +($ { +ĠF IRST +ĠSp a +- ass +Ġb aise +ĠN ODE +ĠP izza +P et +(se q +\ ">Ċ +CppMethod Pointer +Ġv p +Ġi a +_se conds +em et +/b lob +_TH RESH +... čĊ +D est +ĠN H +.data Source +it és +ĠJ ak +s ell +Ġwork shops +< u +Ġr ivals +ĠEX ISTS +h om +-t oken +compat ible +.J Panel +Ġphys icians +art in +Ġdes irable +Ġdistinct ive +.D ep +g id +ili ate +, max +Ġprem iere +Ġq Debug +Ġadvoc acy +Ġwh isper +P t +Ġun changed +_q ty +请 æ±Ĥ +Se ason +avel ength +ĠP ul +Ġd ÃŃa +'] ]],Ċ +al is +(" & +bor o +Ġb m +ĠR adi +w rong +ĠGo ing +ime Type +ij i +- feedback +ĠN ames +ĠB apt +Ġprob able +ĠE ther +ĠPolit ics +_prot ocol +lin ing +S at +Ġcor rel +.Pr imary +(null able +RI ORITY +Ġcolor ing +Ġutil izing +d as +Ġexport ed +Ġcar riers +Con v +. editor +i ó +(h andles +Ġapprec iation +. import +ĠAust ria +ĠStr ip +il ight +Ġappropri ately +ĠP rest +ĠW ir +ĠUI Application +al chemy +ĠM ob +ĠD etermin +ergus on +register ed +_con vert +ĠVlad imir +.Show Dialog +ref lect +Ġsh ook +Ġass ure +ĠO ften +Ġcivil ization +Ġvocab ulary +fore ground +ĠS cope +Ġunw anted +act ing +Ġ( [] +Ġmark ing +. original +ĠMO VE +Ġsport ing +ception s +NS Number +S izes +Ġprovinc ial +_Tr ans +Ġproblem atic +d igit +ĠEm ma +lock s +ĠC rew +ib a +') : +ish a +Ġm amm +Ġocc ured +w cs +(r ule +Ġmerch andise +es pecially +ĠT win +Ġn aming +Ġs log +Ġimpro ves +Ġad her +: text +.h adoop +_HT TP +.to List +.dis abled +Ġl enses +.in i +ĠR are +ĠUb untu +Ġsc ram +ol ation +tit ulo +Every thing +Ġnod ded +icht ig +_const ant +z c +l ift +ĠNot ify +ond o +ĠIN F +(" + +ĠK az +Ġd read +.m apper +le ur +ĠCome y +ĠN B +ic ers +.P ush +ĠH ack +ĠBrazil ian +_pro d +Ġ// ĊĊ +Ġb icycle +Ġun available +Ġadoles cent +bl k +Ġmit ig +_bl ue +ì ĺ +fade In +ĠUtil ities +ĠM N +; k +< style +- status +ind o +Ġinn ings +Ġg j +Ġ|| = +.e u +: Number +Ġcuis ine +ĠURL s +ie k +Ġw ires +ĉ ps +ie g +.m k +so ap +Ġsom etime +Ġst ap +_s eries +.T arget +æ º +.dest ination +OUN TER +R aises +& A +Ġsmart phones +NI Env +.s dk +Ġhelicopt er +Ġim pe +ĠB irth +A U +b readcrumbs +co ords +Ġexplo red +Ġl od +ĠI p +g able +ian e +Ġart ifacts +Box Layout +ا ر +list ener +.c art +ĠH uff +ĠHind u +ĠData Types +ĠDr upal +IGN ORE +Ġoffset s +ĠR TC +- login +æ ® +ĠQ Object +Ġprosec utor +R ock +_ch at +W ay +ì ² +Ġneg lig +Ġd ude +; < +Ġdeleg ates +_f ailed +/ dev +/ work +( New +et able +() " +( Icons +Ġp ork +ĠModel AndView +ĠV IP +ĠK or +m ix +Ġox id +ĠSC REEN +ĠFour th +/ ",Ċ +Ġte e +ĠSte vens +t icks +Ġp ledge +ib bon +ĠLo an +Ġne o +n umpy +ĠShared Preferences +- oriented +ĠLogger Factory +ĠGraph QL +zen ia +" _ +W omen +.c ast +Ġdeliber ately ++ b +ĠAr n +font Size +Ġm aze +Ġbl amed +.m as +} )čĊ +eler ik +Ġsc anning +ĠWork shop +Ġfind en +Ġca ut +UI Font +( return +al in +cast le +//////////////////////////////////////////////////////////////// //////// +Ġincent ive +op ath +b lob +Ġcigaret te +Ġfert il +*/ ĊĊĊ +ĠSh ar +Ċ ĠĠĠĠĠĠĊ +Ġunc ertain +ĠS ton +Oper ations +ĠSp encer +Ġdef in +ĠS olo +on est +·» åĬł +Ġu omo +G ive +Ġdent ro +; padding +ent ai +ĠC ars +Ġenthus iasm +ĠOper ating +S kip +par ation +Ġprotect s +Ġre ver +d g +ĠC incinnati +Ġconsect etur +Ġm uss +employ ed +a uses +ink le +. Values +£ ¼ +lo v +_W ARN +Ġbook mark +ĠAp ollo +. axis +Ġm ét +Ġop ener +Ġtum or +d an +Ġelement ary +Ġsk ipped +ĠK er +as ia +_res p +Ġdem ol +ĠCan adians +Ġt astes +U Integer +Ġ' ${ +.aw s +RO ID +ri ans +M Q +ord able +Ġcous in +Prop agation +(S ession +ph alt +UL D +ĠSc alar +Ġblo ody +Ġ ঠ+.m ask +, q +ĠUn its +Ġcent res +ĠPr im +. ]ĊĊ +ĠSh aw +P rom +ĠTh ought +Check er +_output s +( chan +E INVAL +Ġb ob +_c mp +P ed +Ġmat rices +Ġvrou wen +Ġgenu inely +high light +(d isplay +) != +Ġdel icate +ĠL uther +ĠM iles +Ġuser ID +% = +ate urs +_B UF +---- ---Ċ +imit ives +Ġsh elves +sl ow +_in formation +LE G +W r +.form s +cel and +/ un +: & +.âĢĻ ĊĊ +=" % +Ġpro st +Ġfont size +uc ión +get ic +am t +=" . +Dec or +B rit +Ġ"" ). +Ġfound ing +.File Name +ĠT ier +Ġdisc lose +á m +.s yn +.View Holder +lic ant +_st age +Mon day +Ġdes erialize +t alk +Ġtradition ally +æĢ ģ +Ø ® +LE X +Ġe h +ĉ ROM +Ġ{ })Ċ +Quest ions +nc py +Ġfix ing +к Ñĥ +_ Key +: x +ĠSTR ING +ĠÑĦ ай +ĉ left +ĠBen ch +ell ij +UR RED +ĠDi agram +} catch +/ time +ĠMiss ing +db name +Ġs ore +ĠW alt +ugg ing +rep resent +ĠG S +ne ys +ĉ page +Ġvol can +(b tn +Ġexceed s +Ġ erg +Ġpil ots +ĠS ed +ers ions +Ġpat ron +R V +/ top +. asset +_c ross +. Editor +.t b +Ġwel coming +SC REEN +) findViewById +C oder + ",Ċ +_P in +ues e +Ġover rides +_ ready +Adv anced +Ġop i +-c art +("/ ", +ĠDe b +CR Y +ĠVert ical +ĠO VER +ĠCorpor ate +Ġ"" ; +Ġste pping +e j +Ġaccus ations +Ġor az +_t ail +Ġindu ced +Ġel astic +Ġbl own +, // +Ġbackground s +âĢĻ une +-s dk +Ġset Interval +Ġincent ives +Ġveget able +_ On +exp anded +p ix +_sh ader +ĠSP DX +@ example +ĠW rapper +.Z ero +Pos itive +Ġsp inner +Ġinvent ed +ĠG ates +оÑĤ оÑĢ +Ġcompar isons +è · +.pr imary +data Provider +add itional +ĉ options +s napshot +.set Horizontal +Ġ" {} +ĠFish er +hal ten +< Type +Ġmax Length +ĠM t +Ġê° Ģ +.jet brains +Ġident ifies +Ġflow ing +ĠDisc ussion +ats by +Ġsch w +ught y +Ġr ivers +.un ique +_PH Y +ed ral +( ll +Ġcs rf +pp ers +ü l +ĠEs pecially +port ed +ĠHarr ison +****** */Ċ +Text Color +ìĬ µ +w ire +Ġstatus Code +ĠFin ish +c ence +ĠMcC ain +ĠW or +( await +Ġ) -> +ĠRegister ed +IN ED +k al +par ison +Ġobj eto +V i +mand a +Ġrenew ed +ĠS of +ess el +.nd array +Ġcr ap +ç® ¡ +.ab spath +( up +Ġclear ance +ĠT W +_C OPY +ĠĠĠĠĠĠĠĠĠĠĠĠ ĉ +Ġforest s +Ġarg uably +ĠA SS +he y +am el +_f ore +ĠSou theast +Ġab used +Ġpract icing +aked irs +ä¸ » +_res ources +Ġp ond +.F ixed +Last Error +ĠPsych ology +Ġ" // +! : +Re usable +Ġmens aje +Ġro spy +Ġb our +Ġvar ieties +Ġem path +(( { +_ org +ĠM es +ĠMag ento +IST ORY +Un less +Ġh j +ĠD uty +J un +, size +Ġpaint ings +Ġdisp ens +d art +Ġbehavior al +Ġr pc +cal culate +fr uit +_m m +ĉp thread +Max Length +Ġc urrencies +_cap acity +ĠO z +Ġfire arm +Ġcoeff icient +Ġbankrupt cy +w art +Ġfat igue +AV A +Ġes pa +_p c +ĠQu otes +_L IGHT +ĠT ickets +Ġrel ates +Ġpublish ers +Ġunlock ed +Ġ// ---------------------------------------------------------------- +ĠInterrupt edException +Ġout look +r n +Ġreb els +W ritten +Ġas ian +ot to +Ġ ĉĉĉĉ +_g pu +T xt +.Image View +Ġsu is +_t ables +.Rec yclerView +Ġwhat soever +è ģ +] ++;Ċ +assert True +_ verify +ĠR ivers +Ġ ][ +J et +id ian +S ibling +Ġgen res +.A ccess +OP S +Ġtr ivial +ภª +al en +в ед +ĠS word +Ġscrut iny +(c b +Ġcomm erce +Ġguarante es +_ad v +ĠL ET +rec io +Ġh ilar +Ġback yard +ãĢ ı +Ġillustr ated +/v endor +. Util +Ġw ow +LO Y +ĠMar shal +"> '.$ +ĠB ak +Ġmod ifiers +d ictionary +ĠSt re +m ultiple +")) , +ĠC ort +'] "). +( admin +ĠCre ator +Int ernet +( ms +log y +DECL ARE +ĠMarc us +<< << +ãģ ł +_m y +(in st +Ġsc iences +ND ER +. enter +Ġit u +Ġbeh ave +P an +omb ies +=' < +')) ;čĊ +ĠM ENU +ĠWork ers +.No Error +Ġbind ings +Ġdis abilities +{ \ +ĠM unicip +Ġco res +ur ple +ĠN okia +us ions +ĠF itness +.handle Change +Ġjav ascript +ìļ Ķ +( dec +Ġpack ing +-de pend +Ġtrans cript +z eros +_ alert +? ",Ċ +lib s +± оÑĤ +Ġ| ĊĊ +tr ained +ĠG ent +ĠR ab +x p +_config uration +å¤ © +_ accept +.rec yclerview +: url +ĠMu hammad +Ġprivile ges +_b ank +uk u +w allet +ĠRO OT +Ġenc uent +? family +ĉ position +Ġc g +Ġprec ip +method s +_f ast +in crement +ĠT iger +_OCC URRED +qu ip +ĠH AS +_d om +Ġw reck +b j +Ġd ern +Ġorg ans +. entries +Ġ_ (' +ram ento +ĠJam ie +Ġp unk +IP P +Ġprogram a +Ġatt ain +Ġpro ves +/s ign +Ġanswer ing +Ġl adder +************************ **** +ĠW almart +ĠCONT ENT +duct or +Ġver bal +ĠP ID +c rypto +_CALL BACK +Ġ= ================================ +Ġpot ent +Ġshort s +.U ri +.un iform +; border +ĠW er +Ġhere in +ll a +ĠI hr +P ixmap +l iteral +! )ĊĊ +g eneric +r ust +_script s +ost o +it us +ĠCoal ition +Ġrem ot +de ploy +ĠEag le +ãĢģ ãĢĮ +Ġimportant e +ĉ object +Ġseason al +ne j +aid u +Bind View +ĠSi erra +-b g +Ġmake Styles +[ offset +G ames +Ġhorm one +AR IO +head s +( select +ĠStart ed +@ param +_de cl +_b log +Ġa ño +\ Api +ĠMil waukee +Pro vid +An imated +Ġcool er +ĠSe ed +. Edit +Ï Ħ +ĠT aking +Ġborder Color +-found er +.Logger Factory +Ġ"" ĊĊ +AL T +ĠL ate +EDI ATE +Ġ);ĊĊ Ċ +af a +Ġcancell ation +At om +ĠB irmingham +emp resa +HE MA +asc al +Ġup side +.V ersion +ĠF older +ĠE ight +ĠV intage +ĠApp Delegate +ĠPre vention +.se parator +ST M +( room +gener ator +Ġc attle +ĉ Z +ĠPart icle +' };Ċ +Ġneighb ours +ĠState less +Ġalt itude +Ġsa int +об ав +Ġconv inc +ĠCont ents +Ġje une +(t s +Serial ization +(c ollection +ĠJ azz +ĠD od +ĠR och +ac io +comm ended +DEF INE +.on load +Ġspecial ty +PL ACE +_MO VE +Ġaccount able +Re uters +Ġf icken +Ġde pr +W ow +V oid +.s pace +à¸ Ĺ +Ġt q +ĠP ets +< $ +(C urrent +ber ries +plan ation +Ġlist Of +ĠTh u +ĠPR INT +Ġm ismo +Ġdo i +ch k +ĠUn icode +( role +Ġvir gin +< Point +_RESP ONSE +-h ouse +ĠVenez uela +EM AIL +Ġp úb +_ex ist +B all +.C L +re ferences +ĠBeautiful Soup +ĉ Expect +TH IS +Ñĥ д +b ane +Ġtemp oral +ER IC +et as +Ġrefresh ing +Ġsec ular +@ synthesize +ac cur +Ġn ella +ĠS OL +.p ipe +Ch annels +èĩ ª +Ġinsert ion +á» ĭ +el ia +Ġadjust able +Can ada +ĠI TEM +Ġcur ves +ĠChe ap +let ing +Ġoptim istic +al lo +Ġpolit ician +_down load += edge +ORT H +Ġmodel o +art o +. rotate +Ġs elenium +æĪ ij +_al ias +Ġrenown ed +.' . +Ġc zy +Ġal les +.Com piler +ĠB ass +Conn ector +.R ole +L INK +Ġc riterion +lem etry +Success fully +/p ng +Ġey eb +asp berry +( gr +Ġd angers +Ġcorrect ed +Ġgl ow +Ġelabor ate +ĠB ears +aw ai +=" '+ +Ġpromot ions +Ġmathematic al +Ġ" ` +_Generic Class +ĠChe f +.S ort +table Name +R IC +Ġvolunt ary +ĠBl ade +-e lect +ĠCom bat +ĠAb ility +Ġab dom +Ġd uck +T mp +åħ ¨ +Ġer ase +.P h +ĠDefault s +p artment +_US B +ê te +; ' +Ġp ads +ĠOb amacare +.T otal +Ġdiv ert +Ġcr icket +Ġrecre ational +( red +ĠC le +R U +Ġmist aken +ĠMont ana +Ġstr ive +_sl ider +ĠPl astic +Ġdecor ated +ĠV P +lic o +ĉf alse +Ġpre fs +( \" +_f alse +i endo +Ġ@ $ +B ucket +act ical +ĠZ hang +.c ols +.B inding +Ġw ax +_ST ORAGE +Ġlaw n +Ġr f +.Sc ene +ĠCal culator +.d esign +Ġres il +л ем +E mploy +ĠPr ices +ĠP WM +ag i +.e valuate +ĉ param +Ġbr ass +bb en +Ġinflamm ation +ull ivan +Ġan not +Ġp H +iam eter +ĠB TC +( box +Story board +Ġcl ay +.assert Raises +| string +.App ly +Ġmatch er +und ed +Ġsatisf ying +Ġìł ķ +Render ing +_app ro +ind rome +AN EL +_f ix +br ush +.M atch +Ġsm iling +on aut +S unday +Ġdelet ion +Ġencour ages +P ull +Ġreven ge +Ġqu arry +tr ade +Ġc ables +(d elta +ites pace +Ġf h +.b unifu +Ġvi el +_IN CLUDED +ĠT ail +ad ar +of s +Ġmet als +g om +_method s +Ġn j +.St d +(w in +$ (' +Ġt urtle +ur on +Ġen rolled +ĠH z +ĠBox Decoration +Ġp ont +rel ationship +B i +³ » +Ġmas cul +Ġsh ades +Ġv r +ĠLog ic +Ġa in +ĠD IST +Ġcoll ar +" profile +Generated Value +ĠP ossible +Ġe ines +ĥ ģ +.time out +ĠE c +Ġjer sey +.D ouble +Ġqual ifying +v or +CRE EN +_A pp +_rec v +Ġali ens +It s +E sc +i ator +ĠE clipse +Ġg h +V ict +ĉ html +to o +. const +Ġant erior +ĠW u +(key s +Ġul tr +_p oly +ĠT ap +ĠB ud +A WS +Ġcrash es +_t ot +Cont in +-h anded +alth ough +ภļ +ific ent +Ġde ve +ut ory +ĠW orth +_M S +Ġfloor ing +Ġsell ers +ĠThank sgiving +Ġp ng +Ġval ores +Ġslee ve +Ġfil le +Ð IJ +Ġappoint ments +Ġv im +User Info +BO OST +Ġpos ed +initial ized +.product s +ĠLeaders hip +man uel +' % +em arks +Per centage +(d ist +. avatar +(h Object +ä» Ĭ +_ iff +ic one +; ) +_n il +Ġab ol +е ÑģÑĤ +Ġven ues +.Con vert +! ')Ċ +.B itmap +sk in +_C OLUMN +Re v +G RESS +g ow +Ġw ished +tract s +.assert False +Ġscreens hot +Ġfo is +Com b +Line Width +ĠGr ab +Ġint ensive +ĉ sh ++ ) +.first Name +_PRO CESS +Ġt ilt +it ored +.L OG +Ġb ak +Ġintention ally +.play ers +(c anvas +)) )čĊ +.Pro vider +_P UBLIC +T alk +ĠL iv +ched ulers +Ġl c +ad ic +feature d +.res ources +Full Name +Ġmean while +B uffers +Ġres olver +ĠS AP +_T E +G NU +ĠForms Module +_ wh +ĠS we +.widget s +Ġcabin ets +Ġsus cept +ĠB ott +activ ex +av ar +ant ics +Ġ" =" +_k wargs +Ġgame Object +ĠAng le +.I ter +mar sh +ĠB irthday +ĠC MS +request s +ĠPear l +_E OL +Ġlin ux +( org +_M ouse +.con structor +Ġz d +Ġk icks +art isan +Ġe ax +K n +pon ge +ĠFin land +Ġmet res +ĠAss essment +part ner +/ pre +! ',Ċ +[ Int +Ġos lo +date picker +/ String +op lay +ĠHe brew +, double +Ġtrab al ++" \ +ĉ EIF +/ text +_F IRST +ĠP ete +Ġe go +Ġextr as +P DO +Ġreg ulate +ĠQ Widget +st s +ĠSh ows +ĠN HS +.c ourse +p thread +ĠF uel +.t imes +Ġ ° +Ġstr ides +($ ('# +( words +Ġrhyth m +Ġsp ont +Ġsens ation +Ġsp ike +C losing +页 éĿ¢ +N umeric +Ġbreat he +Ġfin ale +_F ACT +in ion +Ġch ill +Ġform ally +ANG ED +Ġ' :' +ĠпÑĢ и +a q +ĠFab ric +(l at +ĠPr incipal +Ġer ro +oc ale +N om +Ġf ost +_C USTOM +.int ellij +ert ools +Ġcl asse +adi ents +Ġfundra ising +EN E +_OPTION S +_ ob +// }Ċ +Ġprote ctions +.se ed +N V +term inal +;; ; +P redicate +Ġì ¶ +Ġbomb ing +G F +Ġch ew +)) ). +qual ified +] ={ +list en +C ENT +d igest +E ast +Ġd iver +Ġend points +Ġe e +Ġcolle ague +Ġdissert ation +_com mit +_D AT +. rc +Ġbre asts +ĠR ug +ĠP il +Contract s +ĠBry an +Web View +Ġconcent rate +ĠIn ner +Ġ' | +std out +_S ub +> -->Ċ +V ol +ĠS SD +)) ), +. Optional +Ġnurs es +Ġor b +_ pe +);čĊ čĊčĊ +pl aced +ess er +Ġther apeutic +Ġwhites pace +Ġa ston +Success ful +Ġpr aised +ĠW es +Ġe ighth +ir al +Ġvrou w +Ġf action +_b ias +Ġw itch +Ġnp c +(s b +ĠRod rig +_b ig +Dep endency +ĠAb raham +ard i +C AR +n os +Ġabund ance +Ġnut rients +in stein +.V ert +ĠI SS +< U +Ġsum s +_h ist +Ġfar mer +ĠA br +Sh ot +ĠBad Request +Ġh ass +ĠR ails +Ġaffili ated +æĿ ¥ +Ġer f +IN F +ĠView Holder +min i +ĠR oth +Ġfaith ful +ĠPhill ips +AND OM +]. [ +_P AY +ĠAr ctic +f aker +D igit +M ale +std err +se ys +Ġ Å¡ +_rem ote +li que +Ġin def +ĠIndust ries +it ra +_p airs +< iostream +Ġsal aries +ik en +.F rame +PL IC +_S PEC +ĠMed iterr +Ġsystem atic +Ġinter rog +Icon Button +se a +int ro +ĠIss ues +enc rypted +Ġintern ationally +Ġsn printf +Ġpast a +ĠBrad ley +_ Status +AL K +_P AD +.l aunch +< select +Ġhar dest +Ġph y +Ġ(( * +-s lide +ĠNob ody +S u +Ġas ÃŃ +close st +_initial izer +Ġsupport er +-g en +Ġt ales +Ġcor p +_f u +s at +ne ighbor +.M igrations +Ġal gun +Ġsin on +.S pec +? ,Ċ +.G L +m ale +Ġmon itors +yl an +-L icense +.m atches +ĠA BS +ĠM ast +ĠW allet +($ ("# +Dir ty +Ġco pe +Ġinterpol ation +ous ed +ĠJ ets +.F LAG +.C ancel +.Event s +ne ver +ĠM Hz +> D +Ġs ervlet +bast ian +Ġ> & +S ID +_cl k +Ġdiv isions +} ',Ċ +Ġd ildo +Ġpar ade +m ajor +Ġab oard +; ++ +Ġf usion +"}, {" +ĠDialog Result +ĉ arr +- em +_n r +(h andler +.N ET +.Xtra Reports +ĠSh ah +ĠB rief +- , +Ġprec io +ĉĉĉ ĠĠĠĠĠĠ +Ġt ant +ĠGrand e +/ xml +_IC ON +ĠR etro +un que +Ġn ag +to Fixed +X L +Ġdecl aring +ĠCon crete +ĠAm azing +ĉprint k +Ġdeb ates +D ATED +Ġaest hetic +emet ery +Routing Module +ĠNash ville +W AYS +Ġw olf +Ġobserv ers +OT A +ans on +Ġe a +Ġgreen house +ĵį ä½ľ +Ġst air +Ġimmigr ant +_app ly +pe are +ĠBloom berg +_PL AYER +Res p +æŃ £ +Cho oser +ĠI Collection +P eter +Er ro +.detect Changes +Map s +Ġs queeze +ĠHom es +weg ian +Ġformat ting +Ġnegot iate +ul d +ĠN ep +ĠQ B +Ġeconom ies +Ġ*/ , +Ġredu nd +ĠA ber +.IsNullOr WhiteSpace +yc led +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĊ +_S h +Ġske pt +Ġre created +Ġget Type +Ġmarg ins +Ġcolon ial +ch arts +// @ +Ġprocess ors +è¯ ´ +b atis +æĦ ı +ator io +mention ed +P atient +Ġpre y +Check box +_x path +.s kip +ĠMorm on +ĠMemory Stream +CRE MENT +Ġk u +m eld +\ Data +ĠK ernel +il tr +éĢ ģ +( profile +Car bon +RO LE +( pl +] *( +.m emory +Ġmed al +Ġadvis or +it ät +Ġh dr +ier ung +ĠProvid es +( alpha +Ġteen agers +- parser +.L atLng +] ()Ċ +Ġfel ony +ĉĉĉĊ ĉĉĉĊ +BO OK +Ġsl ash +Ġclear fix +ĠPro phet +å® ¹ +right ness +-f i +.k ind +ert on +J im +Ġmanip ulate +Ġworks heet +ol in +st ars +Ġart ifact +_EM PTY +ĉm ain +------------- ' ; +Ġexpress ing +ĠI Q +ĠF act +/************************************************************************ *******Ċ +_m ass +)) : +Ġcon dom +Ġcreate State +omet own +Ġir r +Ġ> ( +> B +iter ation +ãĥ ª +Ġshirt s +ount y +-> $ +_S IGN +ĠD ale +Ġj j +E asy +F re +ĠN y +Ġch lor +match ed +ĠG erm +- UA +ĠN athan +educ ation +-y ard +- che +h ouses +r itional +Ġprox imity +Ġdies em +áºŃ p +Ġd rought +.a udio +ĠLe o +Ġfavor able +in ch +ĠD aw +rib ly +_st udent +id able +O VE +Ġlack s +ounc ing +.b usiness +Ġre open +may be +_G LOBAL +Ġdress es +ĠEd wards +ens ible +ĠHard ware +ĠEx cellent +ĠTime Unit +CTION S +Ġsched ules +Ġseg ue +Op ens +am men +- Identifier +Ġst aring +Ġhapp ily +ĠH ob +' _ +Ġ" ); +ament os +et ched +Ġ/> }Ċ +. Users +Ġinterrupt ed +Contact s +Ġreg istro +in burgh +CH A +_ imp +ph is +s ay +Ġretail er +.N ODE +/ maps +_L AST +ĠCh arge +_g uard +Coll ider +ĠStateless Widget +": [" +(" ../../ +iox ide +ĠS und +Ġ'' ; +un set +add Widget +л Ñİ +el les +alk er +A rc +Ġded uct +G UILayout +ĠV illa +Ġfor bidden +_ where +Ġ\ / +ĠT ib +_A X +] čĊčĊ +ĠB ir +Ġb end +ĠMA KE +ĠM ET +Ġfut ures +Ġweight ed +"" "čĊ +Ġauthor ize +(pro gram +}, {" +Ġcoeff icients +ê s +Per Page +ĠBath room +ĠPublish ing +G PL +Ġsub missions +ĠNUM BER +j Äħ +Ġaddition ally +em pre +ĠSh el +ot yp +S olution +Ġth under +_ ec +ĠĊ ĠĠĠĠĊ +ĠF ellow +Ġk ay +Ġnew State +ONT AL +Im plementation +.L ook +Ġ ents +Ġl ors +ĠB IG +f ab +Ġaver aged +ĠFe edback +ĠW ells +Ġm artial +Ġind ul +ĠComm unist +ĠFore x +ĠAgricult ure +" [ +Ġqu ar +ĠK ont +ĉ view +. Bytes +des ktop +ĠM akes +akes peare +.Null able +Ġspot light +V B +ow y +(t orch +tr idge +_b ounds +Ġapolog ize +.add Item +ant d +* );Ċ +, u +(g en +ç» ĵ +re ator +ĠC ord +ou pper +.m etro +Ġ ew +ĠW ORD +.A fter +Ġdet ained +ĠHam mer +ex isting +Ġo st +Ġmon ument +-c ustom +User ID +ĠN om +Ġre jection +(d im +Ġsingle ton +ĉd ie +ari ance +re ports +] != +eld a +Ġpreval ence +_reg s +." . +Ġfemin ist +Code c +Ġ **Ċ +(label s +_M ARK +FA ILED +Ġadminister ed +W N +ĠĠĠĠĠĠĠĠ ĉĉ +Ġn oun +w ig +Ġg otta +Ġr if +- im +ĠPaul o +ĠCommand Type +] ))ĊĊ +-z ero +Tr aining +Ġl ord +_ art +re ddit +C ert +Ġpes o +R ot +Ġend anger +.d r +user Info +un ts +n v +ĠTrail er +-f irst +(m ake +Ġbenef ici +-bl ack +i ÃŁ +Ġund oubtedly +Ġm ex +ĠAnc ient +( as +Ġdes cent +P ick +Ġrep lica +$ obj +ä hr +Ġar rows +ft y +ĠLib ya +ug a +charg ed +T ur +Ġh omic +iss en +ĠF ake +Ġbe ers +Ġsc attered +( Time +UT IL +Ġbureauc r +/pl ain +Ġstick ing +FA IL +ĠC ovid +Th ird +_p resent +ĠPier re +Ġë ª +Ġ[... ]ĊĊ +Pro b +ĠTra ffic +ica o +do ctor +Ġ), ĊĊ +T abs +al u +ï¼ļ âĢľ +Ġinher ent +_N o +rit is +ĠPro of +.b asename +ä¼ ļ +Ġch im +ĠProt ected +c rit +Ġpr one +Ġк он +ĠHero es +Ġan xious +Ġan os +Ġweek ends +Ġs ext +Ġredu cer += UTF +h alf +ĠS aw +.m m +Ġnue va +.current Target +.l ua +_EXT ENSION +ĉ reg +ĠC trl +_ align +accept able +Ġrush ing +fr ac +Ġbo asts +F ive + ± +ĠTem perature +> ): +Ġchar ter +RE ATED +Ġsubject ed +Ġop c +health y +使 çĶ¨ +ĠScient ific +Ġfra u +ri ages +ภĶ +.in ventory +ation ale +M ad +min utes +>> ();Ċ +ĠEn v +Ġrecord ings +Ġsusp icion +sql ite +ĉ read +ãģ ¦ +Ġwor ries +.put String +ĠSh anghai +( uid +r er +ĠvÃŃ de +") : +Ġmethod ology +Ġк оÑĤоÑĢ +cc c +av ad +Ġindu ction +ĉ Thread +, string +ạ i +neh men +u ition +Ġ* __ +.em f +Ġì ľ +/th emes +ĠN ine +. One +ĠEm bed +Ġf az +u ations +Ġpriv ately +Ġl ing +[ F +ush i +Ġlaunch es +( KEY +G MT +Ġaim ing +pat ible +ĠB iden +i w +ĠD egree +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġ$ ('< +á rios +to UpperCase +ìł ľ +ĠE UR +Ġovers ight +Ġtable sp +Up dates +.m akedirs +Ġhum idity +/ template +Al ways +( IS +_c ert +D ig +Ġunder way +ort on +ĠHur ricane +Ġsp ends +ĠSeg ment +Ġfl ies +ĠT oggle +ĠLyn ch +Ġs enses +ĠK os +set Enabled +ist ically +Ġtest er +Ġadministr ators +Ġtag ged +Ð ĵ +Ġshort cut +ĠRes olution +Ġsuperv ision +ĠAsh ley +Tr acking +ul atory +and el +ist en +Ġun re +(d iff +ANT S +Ġr ider +Ġs Äħ +.S eries +_ orders +ORIZ ONTAL +Ġret ention +ãĢĤ čĊčĊ +Ġdi agonal +ĠC ancellationToken +_ Internal +Ġru in +.Q t +ocr atic +T el +ĠAn swers +m atic +Ġx p +at em +_j obs +_ any +Ġsen iors +Ġland mark +ĠQ List +Ġman eu +ot ify +/ ";Ċ +/ server +ĠPhil osoph +uten ant +( io +h z +Ġauthentic ated +d v +- Compatible +Origin ally +, function +ãĢĤ čĊ +ĠRepresent ative +as ily +irc uit +.d t +(m ath +.M arshal +[ , +ĠC ities +_ turn +| )Ċ +Ġcant idad +al ter +ĉ ui +ĠNe braska +Ġsk irt +.b g +Shared Preferences +( style +Ġg rief +g ew +Ġsaf eg +ol ang +_l ists +ì Ľ +Ġgran ite +Ġhott est +.j dbc +.C ustomer +Ġâī ¤ +Ġwa ar +_sc ene ++' / +ĠJ TextField +Ġse ating +Ġwe ars +Ġ` / +C ases +ĠY outube +ı m +Ġbal con +, G +Meta Data +- price +SC R +Un ity +Ġtr unk +={` ${ +Ġearthqu ake +Part ial +Ġsub st +Ġelim in +=" '. +//* [@ +Ġsuperv isor +vro let +_ article +Ġp ane +b io +Ġmot ors +N M +F rank +Ġon ion +- word +Item ClickListener +Ġb rit +end encies +Com puter +_r unning +( day +- he +(n amed +ĠS ach +о Ñĩ +c ampaign +.Ab stract +(w rapper +.p ay +Ġu w +Ge o +r ails +/ select +icht e +son s +E VENT +Ġal iment +Pro viders +A wait +_INTER VAL +. off +Ġgl uten +_cl oud +Ġw en +.ex tract +ĉ button +/ MM +Part y +Ġdem ographic +_err no +Ġh iking +(' ')Ċ +", @" +Ġw it +r á +olog ie +ĠSt yles +ĠBrowser Module +.Request Mapping +ic ans +P AGE +cre ation +ĠF erguson +ud ed +num bers +ĠGT K +Ġpresent ations +ĠB obby +_s pan +est yle +Ġilleg ally +abel a +Ġbattle field +cap acity +ter ror +] ");Ċ +Ġwar rior +le ader +ĠDB G +ĠRe venue +Ġvig il +Ġcounter parts +( Error +ACT ER +Ġhe eft +Ġselection s +ze ug +t om +-t wo +. ;Ċ +_st atement +ĠA id +ĠV ul +_r gb +Ġpr izes +Ġedit able +ĉ form +ın ı +.de cor +D emo +lic es +Ġen ctype +rat ulations +ĠR OS +_ch ars +ĠJ ahr +part ial +Ñĥ ÑĤ +ĠRe ceive +ĠL ands +AP TER +Ġch opped +.. " +ĠAn aly +ĠU ID +ĠR adeon +ĠB ee +Ġun m +> M +.find all +Token izer +ĠWH AT +Ġs j +D rawing +E ss +ON D +Ĭ ¶ +(p acket +âĢĶ but +Inv ocation +ĠN uclear +? ;Ċ +Ġgrand es +ĠC rypt +rem ark +Ġ'../../ ../../ +Ġin ability +m agic +c ats +Ġsim ulate +: ${ +in flate +Ġen er +: NO +ip les +Ġmer it +ĠR ated +Ġgl ue +/b log +Ġg ren +Ġthr illed +.C H +unc an +ĠPR IMARY +Ġper sec +Ġfe ared +.M IN +ĠThe ater +é Ĵ +ategor ie +æ® µ +Ġappet ite +s quare +ĠAlex and +.User Id +_g t +_ enter +Ġgradu ates +Fragment Manager +Author ize +-N LS +(M y +Ġtri umph +ust ing +_PARAM S +Char acters +(: ,:, +_B UILD +M Hz +Ġwash ed +Ġun cle +Ste ve +ard own + ${ +_confirm ation +Ġtro phy +Work s +ĠElect ronics +ĠMediterr anean +_m etrics +Ġannounc ing +ĠD AY +_pro to +Ġp ear +base Url +ĉĉĉĉĉĉĉĉ Ċ +Ġcoord ination +: N +.an imate +ĠC otton +_h it +â ľ +Ġjet zt +if ter +(f ields +own load +ific acion +.c uda +ĠLi u +> equals +ĠA ce +ÑĢаР¼ +ĠSuper man +ĠGarc ia +Ġarrest s +ag ar +Ġ{} ) +Ġmac ros +rou pe +ê tre +Ġtw isted +str uments +_ (" +_ vertices +ĠTrans ition +и к +[ max +m ind +Ġaccess Token +Ġun le +m us +c op +ĠF actor +Ġcon ced +Ġre tr +.l inalg +-s lider +ob l +_Static Fields +Ġz ombie +s elling +Ġch ap +Ġsh aking +ĠTrans late +ĠAm sterdam +ĠE TH +_EX TERN +k d +_d isc +Ġpreced ing +Ġpri x +Object Name +_mod ified +ard ware +Ġ?> "> +ĠD W +` ${ +Ġ?> ">ĊĊ +Ġspin ning +_p ending +Match ers +. Keys +ĠP V +en us +ant is +Ġdisc ard +Ġh aul +Ġem pir +Ġpath way +Ġo ak +м ен +-ind uced +Ġimp air +ĠCal gary +.is Hidden +d z +_ include +Ġg m +Ġ' (' +P Y +uggest ions +Ġcommod ity +c ro +/ sub +Ġget Instance +ĠLeg acy +ĠK il +B al +( short +In form ++ x +* r +ĠHope fully +or ate +Ġmach en +Ġtreat y +ĠO ri +.p ublic +-h orizontal +Ġtact ic +Ġb ord +w ares +Ġam mo +ĠL ists +Ġequ ations +/ her +ĠNS W +B ounding +_C ollections +Ġav ail +.Drop Down +è ° +Ġh h +Ġl Ãł +.p b +Ġmemor ial +ĠAT TR +Ġexhaust ed +Ġt sp +ĉ redirect +Ġlik ewise +ST ER +L java +Ġcondem ned +oca ust +(str ict +Ġexem pt +Ġs ms +Ġex agger +S YS +Ġl ounge +: ^ +Ġto dd +de b +ator ial +ĠPort er +Ġtu ition +Ġexem pl +Ġp aren +.line To +Ġkid ney +Ġç a +Ġc ui +ï¼Į 请 +X C +Ġmo ż +Ġnomin ated +l ung +Im Gui +ĠB uzz +Ġstere o +port al +res as +Ġk lass +Ġdraft ed +Ġproject ile +/g pl +(param eters +* )Ċ +Ġassist ed +ĠNS Integer +s itemap +:n th +.View s +.Argument Parser +Ġme er +z ier +ĠD ig +Ċ +Ġpl ag +p ine +Ġblank et +Ġ: - +Ġl cd +------------ --- +(" " +Ġtact ical +ĠRon ald +ex tr +ĠF est +Ġf uer +-n avigation +Ġk b +gh ost +Ġhandle Change +_cl s +() != +Com parator +.v m +ĠCo x +_re view +/ @ +_c ookie +Ġrecogn ised +ld ap +Thread s +ĠSex ual +ĠB earing +(S QL +Ġx r +Ġth igh +URL Connection +ĠSU V +Ġm Context +Ġinc idence +ĠE ste +.s up +_t e +(EX IT +C MD +/ "> +Al most +ĠU ne +Ġand eren +ĠSingle ton +Ġb ore +Th ink +Ġn arc +] initWith +_sh op +(str ategy +! ', +her its +ĠDes k +_m achine +.net ty +ı nda += < +ĠQ R +ĠS idebar +.split Container +Ġon Success +Ġmon key +En joy +(n odes +pect rum +Ġ(* ( +ĉU INT +, height +ĠNetwork s +.t ail +.l inspace +Ġ" ... +List en +Æ ¡ +.Ch annel +- defined +Re peat +ad just +ER M +_ application +.assert NotNull +- stream +Ġr abbit +Ġposition ing +Ġw oke +Ġf ing +Ġmulti player +Ġregister ing +un til +Ã¥ n +( :: +uss ions +Ġpot ato +ĠE quals +.S up +/ap ache +Ġ( = +. ") +.p tr +ĠSpe ech +.cl ip +ĠGab riel +Ġmusic ian +/ issues +.sh op +ĠH ier +_RE T +_b ucket +ãĥ ¡ +av s +Ġro z +fl ower +Write Barrier +ĠMil an +Ġlegisl ature +ĠD oll +Ġprov ing +.concat enate +âķ IJ +Ġg char +cdn js +b les +ĠList ing +л о +.xr Label +ĠS ak +just ice +ĠVal entine +un less +Ġp iger +(r un +Ġtest ified +AN A +ĠRem oves +)) ));Ċ +rec ated +ĠRuntime Method +Ġcon qu +ãĤ ¢ +Ġt issues +ail er +ét é +- Star +Ġfl ames +.set Icon +Ġsup ern +Ġvag ina +- variable +Ġwell ness +C UR +Ġbel le +.get Request +Ġp oco +ben h +ag ens +Ġsp ill +ĠJ ur +Ġdispatch er +н ого +emon ic +(dir name +ĠÐ Ķ +Ġpas se +Ġg anz +ric ing +E U +Ġmuj eres +ess en +.at tribute +j j +ĉĉ ĠĊ +[ ^ +Ġstrtol ower +lex er +ect ar +hot el +.s quare +Ġr all +Ġlower ed +hand led +Mark et +ĠUs es +iv as +.B usiness +ãģĹãģ ¦ +D IV +Ġw asted +Ġav oir +ê m +_ACC OUNT +. et +ĉ SDL +k ap +Ġf ox +up pet +{ },Ċ +", ' +F avorite +P END +ĠA ES +} ), +Ġded uction +Ġpol ÃŃt +Ġcomponent Will +ĠT elerik +_SE LF +Ġm use +C raft +Ġd ens +ठ¿ +( tp +Ġt asty +Ġbal ances +Ġded ication +ĠWall ace +Ġun law +\"> \ +Ġm um +- update +ement e +Ġs oda +Re public +as mine +é ric +( Status +ĠJson Convert +ĠD isk +.Red irect +Ġfilm ing +/m ol +R o +Ġv ille +Ġtrab aj +Ġsyn thesis +reg a +Ġr l +S cheduler +ISH ED +current User +(error s +' h +_b ot +x imo +ĠUS ART +_s uper +_DEC REF +н ой +_RO W +Ġprom otes +ĠT A +Ġhor as +ĠRep resents +Ġname of +ĠEx c +ĠGar age +Ġse ine +, # +Ġher b +/ resources +Ġple aded +.r adioButton +Ġæ ĺ +O ps +ĠN est +c string +ĠDef ence +Ġref ere +_le af +Ġrevel ation +ë § +.execute Update +_W ORLD +Ġexp ans +(" \" +j ab +Ġdoub ts +ĠGe ometry +Ġintrodu ces +Ġsen ators +Ġcan al +.h elper +ĠBi ology +_SE NS +.pre vious +-t ouch +ab it +Ġimpact ed +Ġbr ackets +.d irect +acc um +Ġtest osterone +ĉ action +ĠCh ance +Ġpe aks +CppCodeGen WriteBarrier +Ġun belie +_p ress +.R el +ang led +/ templates +-- >čĊ +l ime +Ġsufficient ly +_ nt +Exp and +.is file +Ġis Empty +Ġq t +Ġmul her +ac ob +Ge orge +å¸ ¸ +Ġass im +as o +Ġcompr ised +O V +(CON FIG +ĉw riter +Ġdes p +Ġten ure +(c r +.p ool +ĠB rend +Ġc ensor +(time out +Ġple a +.W rap +Ġtight ly +ĠW ere +ĠI gnore +abe i +Ġbr idges +Ġcondem n +Ġsimp licity +Ġrout inely +Ġblack s +j b +ĠP it +U tf +Ġ/ Ċ +re load +Ġset Object +/g lobal +Ġf atty +Ġsock s +Could n +Ġerot isk +æĿ ¡ +ĠPress ure +ĠM az +n pos +tol ower +ĠE Q +ute ur +ĠM oment +Ġet a +{{ -- +Ġgraph s +ĠGu ar +r ine +( -- +ĠHttp Status +(st udent +* np +Ġrail way +Ġas ynchronous +_v m +'] ,' +, text +mer chant +(G uid +ĠG ra +ix er +fetch All +.add Listener +fl ip +* $ +> (), +Ġsun light +ass igned +Ġab c +ĠC OLUMN +ĠðŁĻĤ ĊĊ +) ... +Ġen semble +Ġnew line +_S INGLE +ied ad +Ġdark er +orm ap +Ġl ion +pl its +Ġillustr ation +ĠI EEE +Ġv ista +ous ands +****** * +ĠTom my +Ġh ue +S el +Ġa ura +ĠTher apy +Ġanim ator +.con straints +Ġv ague +(" ") +Ġvill ain +Ġbless ing +Ġstring Builder +ĠM isc +ĠD IR +f ax +- node +ĠWalk ing +ĠA U +s ess +Ġgr ill +VERT ISE +ĠF oods +Ġt ournaments +à ĵ +ĠMar sh +Ġw onders +Long itude +.Command Text += input +_enc oder +page Size +Ġget State +> >Ċ +.g rey +p od +Ġread ings +Ġre consider +Start up +Ġexc er +.b alance +_c ycle +_T ime +LOC AL +ĠE FI +ĠRe yn +.set Foreground +by n +Ġdis connected +ACT IVE +Ġembed ding +ick ers +Ġsurround ings +* c +Ġgar ant +Ġb f +Ġw ipe +Ġ ä¸ĭ +_T RA +ado x +ç ķ +Ġsu cks +ĠS ongs +ĠAssoci ates +ĠB ald +ĠB rett +ven ile +Ġv t +Ġin ade +Ġres igned +ĠGl enn +.p attern +.Data Bind +Ñĥ м +Layout Inflater +ch et +ĠTest ament +.m s +Ġp av +ĠReact DOM +ur dy +AD ATA +M u +/ actions +ĠJ s +_ex tract +ĠBr ing +: id +str t +iv ation +Ġoutr ight +az u +loy ment +и Ñı +al do +ĠP ublisher +E ducation +Pa lette +_d rv +Ġ($ ( +ĠAnd a +Ġrem edy +Ġincons istent +te ction +Ġregul ators +Ġshort est +(p air +ĠInstall ation +Ġdefend ants +Ġ( ); +-l arge +M el +Ġthreat en +н Ñı +Ġfet ish +ot ine +_d ic +Ġ< $ +Ġst agger +sp i +$ response +S erv +-b orn +j os +ĉ img +ĉW HERE +_l t +å½ ĵ +.c ost +ĠT ue +.label s +ĠL V +wcs store +ĠJes se +ภ« +Tr ade +Ġpredecess or +ë Ĥ +fin ally +_g eneral +ogg ler +_REG ION +n ement +Ġblog ger +ĠHar bor +ĠD ataset +[ w +Ġattend ees +. ico +max imum +.Un lock +_SY NC +ág ina +Ġdown s +ĠW ii +]) / +Ġkick ing +unic ation +ĠD AC +ĠID S +ĠR ental +Ġcurrent Time +Ġvacc ines +ĠDev il +Ġn ors +_m ouse +urre ction +(n o +Ġ> čĊ +Ġaggress ion +Ġbre eding +.s ymbol +im an +Absolute Path +ĠWH O +_fl ush +- root +arn a +& M +Ġf athers +ĠR ocket +ive au +Ġw ander +Ġcom pos +ĠWar rior +ĠSe at +ĠClin ic +_in voice +(dis patch +Product o +at uring +oss ier +ĠM AY +Ġd agger +Ġsanit ized +ĠR FC +Ġpro ph +Ġur ine +Ġgr ind +ĠExp anded +des cripcion +-f w +ĠK erry += name +Ġch k +Ġnation ally +Ġthe e +In c +Ġ? >> +.R adioButton +.Http ServletResponse +/ Y +ĉf ield +Ġhom me +y per +Ph ysical += v +Ġdr iv +ĠErr ors +Ġc Äĥ +De ath +ĠW INDOW +Ġpo et +ĠSh arp +ĠImm utable +ĉ create +Ġge ht +ĠRe form +ais er +ĠInitial ization +Ġimm unity +.com pose +Ġlat ency +ĠLeban on +ĠPar ad +Ġfu els +ĠEx hib +co h +% ">Ċ +ĠCL I +) initWith +-Z a +_C LEAR +reg n +Ġfin ances +.st andard +_C ATEGORY +.lib rary +Ġtravel ers +_w p +ĠE valuation +start ing +Ġ )),Ċ +ep isode +ĠV ariant +Ġda emon +ĠJul ia +ĠN R +Ġdoub les +< v +/r untime +Ġinterpre ter +ĠIN DEX +ĠHol mes +_D IM +Ġp addle +_ex ample +Ġfore ground +.r outes +Ġs owie +S UCCESS +ĠC DC +ĠB D +_ - +as ured +W riting +Ġcurrent Page +( answer +ĠASC II +à ¨ +Ġsocial ly +yy y +ĠSpecial ist +(c ustomer +ist ani +ke st +ĠM ak +Ġth o +. pt +( comment +ĠCon verter +g am +b ins +. tele +ĠVeter ans +_AL LOC +олÑĮзов аÑĤ +inn amon +; width +oh l +Ġfant as +Ġs ung +ĉ K +( Json +Ġneighbour hood +Ġv ow +Ġs ins +on acci +Ġepoch s +im agen +.Ch ange +.my batis +Se ek +W ER +管 çIJĨ +Ġinter ess +_ Event +eder land +Ġterr itor +Ġci udad +uck ed +Ġsn ack +Ġtransport ed +ĠMan ifest +ĠD AT +_th eta +Ġw ont +.ĊĊ ĊĊĊĊĊĊĊĊ +Ĭ¶ æĢģ +ĠEp ic +De ck +l tra +_Z ERO +Ġ[] ; +/ scripts +Ġ---------------------------------------------------------------- ---------------- +æĥ ħ +Ġwe ed +N BC +Ġrap ed +ĠG ateway +[ M +ĠTime out +ench mark +.View Model +Ġporn os +ĠY a +th ritis +ĠFly nn +Ġme ga +ac in +Ġtrib al +.app le +ĠB lo +â n +ib i +ro v +ĠL ives +^ . +get Request +ĠEst ablish +cont ainers +Ġst arring +Ġcele brities +ĠRel ative +ĠHe ights +Ġtq dm +ĠNorth west +iv ic +ĉ cl +Ġautom otive +ent ric +Ġfort unate +Ġfire place +se ud +nick name +; s +_C AL +h alt +(n s +_de leted +Develop ment +m ovies +Ġident ities +Ġprompt ly +ا ÙĨ +Ġant e +Ġ" ',' +åı £ +imp se +Ġy ap +Type Name +Ġb itch +Ġassoci ates +HE ME +- empty +ĠØ ª +ol vers +Ġpist ol +Sc oped +ag ner +'] ==' +ĠI MP +ex c +Ġo mitted +Ġmind set +Ġ[] ( +Ġor n +_C AM +A vg +Localized String +ĠN atur +Ġcom poser +ĠPlay ing +Ġover d +_ utf +.s k +ĠF ol +$ page +, Object +Ġbe es +al ary +bul let +_lib rary +O ffer +loc ated +Ġ(_ , +âĢľ He +ĠOwn ers +) ).Ċ +Ġb ri +.Ad min +kt ion +лÑİ Ñĩ +Ġerot ici +Cancel led +Ġa gr +re views +_d ma +RI CT +Ġg fx +mp i +pp o +Ġ// @ +Ġupper case +Ġcommit ting +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +User Data +Ġv ai +ĉs ort +Ġcongr at +Ġd ioxide +д а +. area +ĠJosh ua +ĠK och +_b reak +az ure +ist ical +_AL PHA +_ views +Ġelim inating +OM B +en umer +ĠHy dro +(* ( +ERT ICAL +Ġinev itably +Ġst ole +-e ast +ier on +Ġl inger +/d oc +Å º +ĠAl ready +as io +Ġ-- Ċ +Ġabb rev +ĠAt om +h im +ĠINS ERT +s un +âĻ ª +CON NECT +er ator +ĠM anning +Ġ: ( +g as +=> ' +Ġquery set +; }čĊ +ĠPop ulation +uted String +res ident +_F ONT +ĠRes pond +Ġobsc ure +Ġo bservable +ĠContrib utors +k on +ĠMus k +ex ao +ĠT ub +Boot Application +S OR +.H orizontal +.find By +.p ower +Ġposit ively +ven ience +ĠJ ong +Ġwh istle +Ġз наÑĩ +Ġl ending +Ġdestruct ive +Ġon Delete +author ization +(); ?> +_ original +sc ience +at ra +?, ?, +ĠAs c +Ġconvinc ing +$ a +org en +_D ate +ĠPro vide +Ġlon ely +) 'Ċ +ex change +; ?>Ċ +.f ast +S amples +L ondon +'] )čĊ +ĠI onic +Ġp esso +ĠKn ights +ĠR af +_attr s +Ġrepe al +> Main +ĠOrder ed +_N ew +=" "> ";Ċ +ĠS ERVER +ĠHE ADER +_ velocity +ĠIn voke +.timestamp s +Ġs ulf +I QUE +Ġinhabit ants +ph ins +azz o +Ġmon o +Leg end +Ġnon ce +IF E +; ";Ċ +- create +" ",Ċ +per mit +ĠImm igration +Ġpath name +ffect ive +âĻĢ âĻĢ +Ġex ams +- event +ĠT ill +[m id +F IX +; color +( Order +_tra its +Ġorder By +Ġs unt +ĠNich olas +Ø ² +Ġsun ny +in ers +Ġaccess ibility +ĠH B +.com p +ĉ op +Ġminor ities +ethe us +Ġcollabor ative +pr it +H IR +Ġwr aps +ĉd raw +g od +ĠI X +.app s +ĠN M +Ġirre levant +ĠT igers +Ġdi ag +G V +ĠAccess ories +k ont +Ġsimpl ify +ĠF avorite +_t ools +([] );Ċ +Ġtow ers +B es +Ġhun ter +Ġsal on +(b uff +ĉ debug +Ġmal ware +M oving +- options +) +' +ĠLO VE +_S OCKET +_f in +ĠDel aware +Ġsher iff +-in valid +ĠF ULL +Ġп од +el as +" strings +ĠRepresent atives +s urface +res olved +ht docs +)) :čĊ +Ġpress ures +Ġnorm s +Ġpl a +Ġs urname +Ġpost al +ĠDep art +Ġsla ughter +or ida +Ġhe bben +Ġdes ar +comp act +_L ANG +åIJ Ī +op oly +_r ad +ĠST DMETHOD +L azy +ĠĠĠ ĉ +... , +( web +ĠP ont +Ġet was +Ġup ward +_h at +Ġ], ĊĊ +Ġbase Url +Ġworry ing +-add on +(get Class +S PI +Ġcapt uring +) },Ċ +Effect s +Ġcompet ent +Ġf oul +Ġsubscri bing +ĠO BJECT +IX EL +b ucks +( edge +(p ass +ĠPet erson +Ġbo obs +ĠD elay +_s quare +el im +ot ers +_P C +% E +on click +ĠSV G +Ġto pped +Ġf ist +sm art +ĠR alph +( owner +j ours +Ġbron ze +ĠArgument Exception +( original +_S CALE +_c p +Ġrecomm ends +.set Style +S ure +L AND +Ġrepe ating +M att +. Visibility +Ġenter prises +.Set up +(sc ene +ĠRe active +ur ge +b w +.P ut +p ersist +.c ookie +ĠAud i +` s +sup plier +( Form + ¡ +_s o +Į Ģ +ĠLeg ion +t te +N d +L oss +( attrs +.sc atter +Ġg room +Ġgl impse +Ġn ails +Ġcum ulative +Ġf azer +_s ervices +.N um +ib ilit +_res olution +ĠT x +umin ium +op a +.s chedule +sm tp +ภķ +ur ry +ü k +go og +_sign ature +.int o +ĠSte ps +Ġhome owners +ĠNS URL +ĠP AC +ĠĠĠĠĠĠĠĠĠĠĠĠ ĊĊ +> ')Ċ +en h +Ġinc ap +$ MESS +Ġmo ins +ĠF i +Ġoff season +press ions +> .Ċ +ĠGr ass +ĠGo al +_p df +Hand lers +Ġstack s +.get FullYear +=[ ];Ċ +è½ ¦ +, V +(s plit +Ñĥн к +Ġbake ca +Ġ~ /. +pe z +t ails +ĠG len +Ġset Image +ĠCom ic +B LOCK +ĉ This +o ader +Ġcapital ist +_ST EP +( Boolean +ĠCor rect +r ina +Ġconc aten +å® ŀ +() :ĊĊ +Ġun anim +ll i +al ars +- ne +Ġdiv or +ĠKick starter +]. _ +< number +/m enu +GR APH +vis itor +Ġimpro per +_N EXT +Ġb isa +background Color +/ input +Ġmo i +Go al +li qu +Ġmiscon duct +Ġcompr ises +aw ns +ĠP ie +ra is +role um +Ġcur se +y u +_p oll +.current User +ES H +]) [ +Ġstory t +)? ;Ċ +* = +ĠB urg +/ layout +_back end +; ?> * '+ +åĿ Ģ +ac ency +( URL +_h alf += l +Ġlist View +( section +.to Array ++ / +ĠRodrig uez +ist ream +Ġelig ibility +:: - +.new Instance +P B +ĠAs sets +ĠCom posite +ĠL abs +ĠHam as +++ );Ċ +Ġbl k +ĠNe o +L uc +@ login +Ġun aware +.m et +_RE LEASE +( ST +AM IL +ri ke +Ġ( ){Ċ +(s printf +ĠAccount s +ĠV IEW +ĠA j +ãĤ ° +Ġwh isk +Ġid i +Ġro de +Ġih n +ĠElement ary +Q ty +Ġintrig uing +Ġå ¤ +J obs +ĉ offset +ĠAh med +ĠTal iban +Ġè İ·åıĸ +Ġinject ed +.Auth entication +_line ar +.Dec imal +Ġapp les +Ġshare holders +Ġb aked +.d iff +ĠE ddie +ok ers +Ġconfront ed +vo ices +Ġt us +ĠSp in +N ODE +_ Un +CT X +/g oogle +Tem perature +Ġ' '). +Ġmagn ificent +Ġstart Index +semb les +Any one +z k +eh en +ĠD ame +. strict +Ġrepl aces +Ġline back +Ġpush es +Ġche ek +ĠSh i +_BY TES +RE A +ả n +_CON NECTION +G ateway +ĠTr avis +ĠA X +ĠBas ically +ĠUp grade +à ª +th emes +erm o +k or +F emale +_att ach +ĠìĤ¬ ìļ© +Ġpo z +============ ==Ċ +(s ymbol +ĠS ector +__ )ĊĊ +_p adding +ï¼ļ " +Ġf abs +Ġr anged +set Name +Ġp error +â Ĺ +ĠFile Reader +Ġful filled +_C urrent +Ġdom inate +Ġsm ugg +Post Mapping +_for ce +Ġb loc +ĠG iant +(v ideo +ĠC U +System Service +Ġ elf +Ġkont akt +ë ª +ke es +gt k +Ġparam Int +Ġmark up +u ales +Ġaccount ed +Ġgang bang +RY PT +ĠW rong +Ġcred ited +ĠM ESSAGE +Ġfl aws +Ġbb w +Ġmetab olic +ĠO EM +/ event +(C ollectors +mont on +ap pear +Ġopt ed +Ġche at +Ġd av +ĠPro ceed +Ġê ¸ +ank ed +и з +ans k +ĠH ang +ĠC ler +Ġdis gu +Ġc map +.cl js +Ġa ument +le z +ĠJo ined +_re ceived +Ġa erial +ot el +Ġgre et +" s +ĠGen esis +ĠCal if +pan ion +Ġtail ored +m apping +and Expect +.tr ack +at omy +ĠO w +ull ah +.Y es +ĠSimple Name +db h +' en +Ġnons ense +Ġphilosoph ical +(get Context +Ġis so +ĠA CE +start Date +Ġb ÄĻd +ĠAUTH OR +ĠGlo be +Ġinsect s +_A l +ush ing +è® ° +/ Home +ĠLocal Date +need ed +hes ive +Ġill usion +äº Į +Ġtr at +x o +/d etail +_M ATCH +Ġbroad band +Ġw al +ĠIllegal StateException +IRE CTION +Ġnor theast +es ium +ĠClient e +ul ance +nt y +Ġt ecn +Dev ices +Ġgr ains +ĠO g +ĠS EL +ud iant +Ġ++ ;Ċ +Ġexplan ations +oc co +Ġdi ets +Ġco hort +( controller +.Iter ator +-r ich +ro cess +G D +Ġcar bohydr +Ġfri ed +ĠEmploy ment +ìŀ ¥ +ĠLeon ard +_ ${ +qu ares +Ġcompan ions +Ġpar is +Ġstim ulation +ĠZ oo +Ġre levance +ĠCol our +Ġspe ar +ot ional +ĠL ite +ĠK osten +Ġà ³ +_att achment +orph ic +Ġdam it +Ġd lg +Ġthr ive +CH ANGE +ĠApp arently +Ġat ual +Ġroot ed +( images +aw i +ari at +Ġch erry +STAT IC +m nt +ĠUser Id +il let +ĠHis panic +Ġn ak +Ġcent ro +Ġdim s +_initial ize +ı k +ĠCent ers +RE N +Ġevolution ary +ĠTop ics +_d amage +em er +Ġr und +Ġpun ished +Ġcub ic +f air +[] ;ĊĊ +Ġinstant iate +Ġover see +- delete +unte er +start Time +ĠP ipeline +_G AME +ĠC ir +ĉ Null +.Format ting +uc umber +ĠR ide +Ġz oo +Ġcheck er +åIJ Į += C +Ġg rit +"); // +_x y +ĠDe claration +Ġcall able +F oo +ĠList Item +Ġin accur +ml in +ĉ Data +Ġev olving +aw an +Ġca fe +fol k +_ID X +ĠAny thing +ĠPalest ine +ĠGrid View +Ġcol ony +ĠGerm ans +( + +.p id +.js x +ĠSuper ior +Christ ian +ĠL ect +ĉ Game +Ġinstrument al +Anim ations +д ал +ĠMos es +ĉĉčĊ ĉĉčĊ +z s +k te +ä¸ ļ +_D IST +bit map +d B +Ġp ersistence +ÑĢ оÑģ +$ l +B ron +Ġ{ | +_ch art +ĠCon sum +Ġh emp +Ġ" ))Ċ +Ġattack ers +Ġknowledge able +Ġc et +Ġvir uses +' I +Ġpitch er +Ġsweep ing += list +apt ops +.de pth +Ġinstruct ed +ĠR us +benh avn +Ġи н +S ports +Ġon set +æĿ ĥ +. RED +_s i +ĠP ST +.on Change +> tag +ĠR oh +_char acter +ĠLaw s +ĠB achelor +_s wap +.re activex +Ġreward ing +Med ium +- [ +ĠRec ently +J oint +part ition +ĠMin utes +Ġind o +Ġabsor bed +ĠG N +_IN D +Ġsab er +Sp awn +output s +ĠJeff rey +Ġmed ieval +h ed +Gu ide +Ġpsy cho +Ġgl am +E lim +äd chen +_pl ain +ĠS au +-f our +Ġanaly zing +QU ERY +Ġtom ato +_button s +V EN +.set Status +. Url ++ ĊĊ +Ġcompl aining +deg ree +conf irmed +Ġsub t +p arsed +Ġtor que +Ġtroub led +ĠT ARGET +Ġtrad emarks +ĠCo ordinate +ĠV iv +Ġ// }ĊĊ +Ġapr ès +.get Position +(Key Code +ĠSil va +Ġmet eor +Ġendorse ment +Over view +ĠP oss +.In ject +Ġeven ly +Ġvisual ization +Ġw char +ĠH DMI +Ġfun ct +ick name +',' ',' +Ġfor wards +Managed Object +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ +ĉ server +ĠOut look +ĠChron icle +Ġdub bed +Ġd ok +ĠW ear +.A L +pare n +. Interface +Inter faces +.c od +Ġd ib +.Global ization +ĠAcad emic +Ġass ms +Aut om +Ġl w +ĠN W +Ġ&& čĊ +Ġproble ma +ĠManufact uring +lim its +-m obile +Ġfil me +/ map +Ġdo it +ĠIn k +Ġsu ed +. arr +Ġunder min +ĠPro c +croll View +__ $ +Ġsidew alk +( that +ภ· +[ q +gram mar +Ġt ë +qu ito +Ġspir al +ext ended +Ġf ocal +Ġdig ging +p as +ĠT all +.pro xy +it ures +TR ACT +ĠRe alm +Ġf eder +Ġorient ed +ĠAltern ative +Ġo we +Ġsour ced +ink er +.d et +S ep +ĠQ ui +ĠPal mer +(_ , +s amples +oy er +ull an +que z +Ed ges +Ġsh out +ĠA chie +Ġha ar +_Con struct +Ġprem ature +Ġre vert +'). Ċ +Ġs chn +filter ed +null ptr +S aved +itect ure +CL A +Ġv l +st ell +ĉ Me +ĠL ip +n ational +Ġwh olly +Ġspr ings +.T imer +ĉs rc +els en +åħ ¶ +Ġcommunic ating +ĠQu iz +Ġt eng +Ġge z +ĠOut side +.S ign +(c s +Ġdisput es +ĠWe iss +ann es +> No +ĠB ach +.remove All +re fer +/d ashboard +ĠA jax +Index Changed +ĠWe ak +' "Ċ +Ġs ights +access Token +ĠJ oi +(d omain +ĉc v +Ġcontin uation +Ġpl um +ad ir +.set Message +Ġ ï¼Į +Ġsw allow +ĠL amp +Ġq w +Ġu u +C oin +ub ic +ĠDe als +r ace +Ġdict ator +Ġmem e +turn ed +ĠJul ie +.grid Column +Ġpup py +Ġp am +Ġ) {čĊ +Ġinv iting +Ġf rench +v im +Ġwr apping +Ġ#- }Ċ +([ - +Ear ly +Ġsh iny +.f aces +Ġreb ell +abc def +ä lt +Ġest imation +ph ys +los ures +_RE L +Ġex clusion +ĠSk ype +we ise +-st op +no thing +ĠE gg +is ors +Rich ard +Ġcounsel ing +Ġcomm em +ĠQ MessageBox +ĠSy nd +ĠFro st +ĠCompet ition +ĠAw ake +Ġt ed +ic iones +ĠDev Components +VERTISE MENT +ott i +.run ner +Ġuniqu ely +.fl ag +ĉ rs +_g eneric +Ġ`` `Ċ +ACH INE +Ġme in +( Application +( br +Ġrat ios +: , +ĠXCT est +ustain able +- www +it les +_T EMP +Ġs yst +umeric UpDown +ĉassert True +Ġw f +. peek +ĠBul g +Ġterr ifying +.M ODE +ĠG W +á r +Ġf ic +Ġcommit ments +- tech +ĠL iquid +ope z +z heimer +a ña +-m edia +( animated +_go al +Ġg um +yst one +.S ET +ĠW end +set CellValue +Ġmsg s +c ash +AL LOC +/ aws +Ġmic rowave +.Point er +ĉ Console +_s orted +ĠFil ip +Pro d +Ġ//! < +ing roup +Ġk s +_T RI +Ġteas poon +ĠAT T +Ġrecover ing +ĠG LOBAL +.P ar +Ġ/> ;Ċ +Ġmar ble +ul ators +ĠC ycle +Ġher bs +_m etric +) ! +_C LOCK +_ Button +H arry +è¿ Ľ +Ġstr ains +ĠApp Bar +ĠCh an +/v ideo +Ġb am +.Pro gress +$ f +lem en +Ġir regular +ĠD uncan +ĠM int +-v ideo +ঠ¾ +ó wn +ĠEM PTY +Ġstack ed +ĠH A +_c ut +Ġwhere in +ĠW ays +(count er +è¯ ķ +Form Group +Ġble w +c ourses +Ġproduct os +ry s +ĠRest r +Ġsty ling +> s +Ġp iv +Ġit ertools +get Repository +ĠI k +_dev ices +lay ui +Ġhalf way +Ġfran ç +Ġtun ing +O A +_N ode +ar de +Ġfier ce +lic ted +# čĊ +Ġbreak through +ĠE rik +Ġb ride +Ġ. " +cul us +ins ide +ĠIndian apolis +ĠE E +Ġy og +urre t +.f s +. grad +_c ards +_ac curacy +_ep i +qu eda +/ org +é ªĮ +Ġcom pte +)) [ +Out side +G reater +ĠRender er +. actor +Account s +Id le +_h ours +ern er +Jo ined +Ġmen j +requ ires +ĠO PER +.remove Child +ĉs p +Ġes se +r ift +xF E +ĠSh akespeare +________ ____ +Ġbudget s +Model State +fill able +- component +oc os +ĠBUT TON +/ io +, out +s ms +Th omas +ĠAr med +res ume +Ġrot ating +ĠV ault +Ġse us +. (* +Ġa mino +Ġ[] );ĊĊ +Ġprov oc +no x +.Get Enumerator +==== ===Ċ +æĸ Ļ +_sc roll +Ġfil med +ĠS oci +g ap +g ro +V ote +" But +_R C +An imal + Ģ +ib ile +Ġaw aken +ore st +in ja +ĠI van +( Command +Ġ ***** +Î · +Ġkv inder +/h elpers +_c ases +t g +ìĦ ¸ +Register ed +ĉp ass +_d igits +Ġcont our +Ġinf ants +Ġjust ification +ĠFort unately +Con tr +ĠonCreate View +_S AMPLE +Ġallow Null +Ġn ud +Ġfet ched +_e qu +ĠUn able +=\" " +> {Ċ +Ġcommit tees +ist ema ++ ". +ÃŃ an +m ant +Ġsou theast +ï¼Į Ċ +dialog s +PRO JECT +charg er +- port +(u uid +. export +S ix +ĠR P +P rem +Ġconsc ience +Ġmargin Right +_d istribution +y aml +res izing +D ock +ĠLoc ations +G Y +Se ed +B UFFER +oss ip +ull en +Th ings +- self +.p oll +PL AYER +Ġå ® +G ROUP +ĠA way +Ġg ospel +xf d +M ary +ĠPort able +T URE +Ġutil is +Ġse it +Ġstr and +Ġtrans c +Ġ( ^ +ĠAl fred +.m em +.c ircle +Ġ~ / +for cing +Ġr iot +pro x +TH ON +iz ación +ĠN I +ro st +Ġdis pro +_in stances +ï¼Į âĢľ +ograph er +end as +ĠIsa ac +ĠP ine +/d is +Ġcolor With +iter ate +_str ide +Ġpun to +.Event Args +( center +Ġneighb oring +ĠPr ison +ĠMess enger +Ġepid emic +da o +_com plex +Ġgr avel +_D IP +é ment +ĠA ri +_bit map +.qu it +( valid +Ġp end +Ġrespir atory +Ġre bound +Default Value +ãĥ Ń +Ġcomm its +.test s +_f r +it et +.s f +Ġspace craft +c ritical +Ġde pressed +ĠAny Object +Ġun b +Ġdisc ern +(m ysql +L atin +ĠB og +ĠWild life +To File +iox id +@ RestController +Ġ"$ ( +Ġ<< " +Ġdefect s +Ġdat um +h in +Ġreal izar +any ahu +ĠS ig +@ Data +ad aptive +ĠC atherine +.c r +ĠCO OKIE +Ġp ictured +ĠFight er +Query able +ĠAny way +ĠGL FW +_n amespace +_ ft +Ġ] ) +Organ ization +Ġconstit utes +Ġqu and +(ch unk +"/ >čĊ +ĠL akes +main window +Car thy +sp in +(c sv +: red +-com merce +ภ¹ +Ġdiscover ing +Ġe co +_f ac +inc eton +ĠGre ens +j wt +Ø µ +ĠBron cos +ĠGood s +(G TK +Ġreturn Value +Ġsi empre +Ġneut r +w ent +ĠN atal +Ġenthusi astic +á» į +F N +/d atabase +C atalog +Ġbr un +ĠK ash +_P l +isc rim +, width +Ġin mates +Ass ignment +ĠH aven +Ġplay ground +ex am +@ Controller +ul iar +.get Parent +Ġ" ;ĊĊ +: size +iss ors +Ġf is +Ġal c +ens ation +ĠN ixon +Ġmight y +- str +_s pecial +_A DC +ĠTw ig +um bling +- address +Ġher oin +Y TE +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĊ +F riend +Ġa ve +ĠP NG +ĠKurd ish +DataSet Changed +Ġbl ades +br al +St eam +Ġsig u +IRT UAL +ac os +UD P +(d atabase +he c +ĠString s +_scal ar +ĉd esc +ĠT LS +; "Ċ +ĠCor byn +Simple Name +u ell +ĠEnt re +ell ites +- place +Ġfrank ly +ĠE rf +CE L +Ġpa ÃŃs +Ġh edge +Ġlat ent +ĠIR Q +ĠH erald +ĠP rec +ë³ ´ +.T EXT +Sal ary +Ġaut umn +Ġtrav ail +.S um +Ġc ared +M or +Ġint uitive +Ġj ournals +_ IT +ĠT rou +ä¼ ł +Has ColumnName +Com posite +Ġsp ice +_d isk +_CODE S +ĠInt roduced +ion a +Ġnue stra +o ct +ĠĠĠĠĊĠĠĠĠĊ ĠĠĠĠĊ +(param eter +Ġstud ios +Ġproject Id +Ġbd sm +.Sql Client +im izer +ĠC ARD ++ t +a an +.s ol +_Ad just +Ġright eous +ĠLog ging +.f ilters +_T AB +ĉs ys +roph ic +other apy +ĠB rowse +key board +R ON ++ \ +ro pped +Ġext ensively +f k +Ġl ime +year s +Ex c +Ġs ph +Ġche ating +and ro +ÃŃ o +Ġpr ince +o ire +ĠD estination +ĠConvert s +Ġup stream +o led +Ġserv ants +Ġsem antic +Ġcr unch +Ġevent ual +run ner +/ error +Sp in +Ġsecret ly +Ġas semble +.P erson +end error +_ < +Ġp endant +S leep +ĠChem istry +Ġboss es +l k +)) ),Ċ +Block ly +DE VICE +Ġreflect ing +Ġam ple +Mill iseconds +ĠPresident ial +Ġus uarios +ĠN Z +ĠSal ary +ĠA manda +_n p +j ury +Ġkö n +Ġtherap ist +Ġhomosex ual +ĠDr ake +-w indow +ĠLoc ated +.D river +ĠV IDEO +Ġmerch ants +ĠC hest +- lock +/ php +Ġmil ano +_ST YLE +arg er +ide a +G UID +adv anced +me al +Options ItemSelected +=' % +ĠCh am +: data +(st at +Will Appear +Ġinform al +aj i +Ġre productive +ĠC AS +ãģ £ +F UNC +ĠR uth +)+ ( +CON ST +ĠF ans +Ġgroup Id +xffff ffff +Ġsam pler +Ġ}} "> +. the +Ġh ollow +W AY +ĠFac ulty +Attrib utedString +ĠLook s +ĠR ex +j k +ĠM IL +Ġb ard +.L ong +Ġliv est +Ġsk al +ic ism +MA IN +Ġmu cho +B ODY +Ġes e +ĉ use +F oot +.SQL Exception +Ġinherit ance +re ceived +Ġput as +ed is +als a +ĠError Message +Book ing +Ġtr act +ac z +ĠC ant +_reg ex +Ġide ological +Ġj ihad +h os +/s ys +col m +(p ool +Ġest án +ĠP ending +em ás +Ġktó ry +));ĊĊ Ċ +trans actions +Ġw ield +it ere +ert ure +_s s +Ġstretch ing +Ġprison er +.Read All +Ġbes ch +-- ;čĊ +Ġcr isp +_SC AN +Ġa e +Str ict +ĠMin neapolis +ĠBo eing +ar is +re k +_p ipe +Ġpri ests +(E IF +eh icles +ĠInter active +b etween +ĉNull Check +ĠBl air +ĠL t +_in line +eth yl + ¼ +_p ackages +Ġbarrel s +_ he +Ġreg exp +_ pts +_H andler +ing ular +ĠN issan +ĠR anch +Ġper ch +Un supported +Sm ith +ĠLeg ends +M i +Ġg f +st eder +Ġacqu iring +Ġsim ulator +() ," +re ceive +Ġin place +A CTION +ĠWeb Driver +files ystem +< Order +lo pen +ĠHE IGHT +.set Border +į ° +__ [" +Ġcl amp +Seg oe +b ands +to List +amb a +>' +Ċ +Ġcred ible +am at +play ing +.setImage Resource +qu el +Ġpod r +ge om +E k +ĠQ atar +Ġg eld +? ',Ċ +Ġc yl +( ax +ĠW I +ur ally +ĠBr asil +Ġsen za +ale y +on en +Ġb ah +Ġmolec ule +R ad +è¿ ° +AN CH +- background +- agent +Ġprol ifer +: boolean +Ġt ide +erial izer +_ ;čĊ +F ee +** ) +erg y +ĠHon or +.Log ging +ir is +Ġunder mine +ĠD y +Ġt yr +Ġde que +Ġdam er +([] )Ċ +.layout ControlItem +pe ated +C AN +rag ments +L and +) ]);Ċ +ĠS ah +ĠDE CL +With in +ĠN amespace +an other +sem bling +.des cribe +Con sum +ĠF ear +g iven +Or ange +< boolean +Ġstead ily +pa Repository +Ġresult Set +_ ENTER +_re peat +Ġt ones +ĠPRO P +n al +part icle +Ġsign aling +Ġaccess ory +ĉĉĉĉĉĉ ĠĠ +Ġvie le +ĠNo ah +- ag +Ġmur ders +Ġa ired +ĠPL AY +ĠS ullivan +_C ore +Ġul ong +Ġblog ging +> This +Ġdata Index +Ġprint able +ĠE yes +_target s +(P y +. over +Ġbr u +am pton +Ġplaint iff +< Key +b ull +Ġ⣠¨ +Iss ue +.cor nerRadius +C ritical +_p hi +. angle +Ġdynam ically +! ");čĊ +> );Ċ +in vest +.* ĊĊ +Ġt élé +Ġsuper f +Ġcas cade +DT D +Ġviv id +Ġsubsid ies +ĠH ass +Ġcoll aps +Ġcer amic +{} ". +ĠLeak age +-tr ash +coll apsed +-s ocial +ĠCh ad +Ġincl ined +Ġst o +Ġstory board +.p ayment +stack overflow +ĠRaid ers +Ġ# ' +olic ies +ìľ¼ ë¡ľ +em ap +Ġk j +Ġqu ota +ĠGard ens +ë² Ī +ĠAng els +Ġof t +Ġlower case +Ġi Param +Ġche apest +un ta +_p kt +ic ators +Ġle urs +Ġdecre ases +ĉ define +PRE C +amm ers +ĠPre paredStatement +(d irection +Ġcre ws +ark ed +ĠMem phis +ĠS ell +G TK +Ġm aid +: disable +éĽ Ĩ +ĠP f +Ġal beit +open h +?> ">Ċ +.get Source +(s cale +D u +ĠP IL +_ref resh +Ġbet s +(c ar +ĠV on +| --------------------------------------------------------------------------Ċ +ĠGr at +M uch +( Dialog +.stop Propagation +Ġte k +Ġex its +'], $ +Ġphone Number +uc s +ec imal +------------ -- +in p +.po jo +Ġcor pus +Ġpractition ers +.p ic +" testing +Ġstring By +.Not Null +Ġr ang +.D ynamic +_R ender +аÑĤ а +Wait ing +ĠW ik +Ġoverwhel med +% "> +ĠA E +}} >Ċ +u w +_t yp +Ġbuck ets +Ġgre eting +Ġla ughter +Ġant agon +uggest ion +- email +ĉt op +Ġer os +_tr i +Ġiss uing +Ġh á +Ġisol ate +Over flow +, E +Ġnut ritional +ĠAbb ott +Ġn f +.t ouch +.fetch all +_z ip +") }Ċ +Ġam at +ĠC isco +Ġn Ã¥ +PLE X +Ġse i +f oto +.to Json +å¤ ļ +ĠKle in +Ġlib c +Ġmin ers +å ¢ +- print +ĠP ride +T odos +Ġmask ed +Ġset Data +Ġtele fon +Ġunh appy +ĠT ables +ge b +( debug +_all owed +- access +Ġlog istics +Ġg ems +ĠM ature +Ġr sp +ĠAl le +.get Bytes +\ web +ynchron ized +Par agraph +Ġth rottle +.sql ite +cons ulta +ĠSe ah +C e +Ġsub mar +ER E +V ous +Ġre ddit +Ġsql alchemy +-m ile +oc ide +P our +}} ">Ċ +st ead +Ġ@ ( +Ġ[ ]) +ĠAd s +Ġover load +r idden +ĠDes ert +ĠW rap +ĠPortug uese +et z +ĉf irst +Ġmile stone +æĹ ł +Ñĥ Ñī +(s uccess +< Vector +co ol +Ġ[ ]);Ċ +erv als +Ġin vert +" io +cur so +fr agment +Ġfeas ible +.set Position +Ġel m +Ġimag in +@ Spring +Ġb ats +pu és +ga lement +ns ic +gi ene +ell ation +ĠBa iley +Sh ar +ĠT ul +ĠH K +Ġfree zing +gl m +ce ans +-c ut +_c ircle +åij ĺ +n egative +Ġind ian +s alt +Ġt ing +ĉm od +Ġs int +ak in +um l +ĠText Input +Ġpop ped +T MP +Ġpark ed +×Ļ × +ĠF usion +Ġhe ater +ET F +ro zen +h all +ĠM ik +lev ard +- heart +ĉ order +M aking +Ġpled ged +Ġdir s +$ post +ĠH err +stant iate +, "Ċ +.get Color +ĠS AT +Ġtimed elta +ĠM ai +ĉm ethod +Ġid iot +ĠTr av +ident ified +ĠDiv ine +.get Path +D ash +Ġinf iltr +Ġhandle Submit +bro ok +.g eneric +.short cuts +................................ ................................ +Ġdat ings +ĠM V + # +} "ĊĊ +Ġimprison ment +ason ic +rou d +uc ion +æĬ ¥ +Ġdia lect +Ġon Mouse +const expr +.label Control +Ġwe aker +Ġman kind +ĠRE CE +Ġd iz +Ġapp Bar +Ġqu é +f ra +_default s +Ġal iqu +_at om +: indexPath +Ġmiss es +Ġvis ually +ĠH ands +STR U +i ates +_ asset +F inder +mid t +Ġsn acks +(__ (' +. uri +ĠIn strument +ven ir +($ __ +.Dot NetBar +Ġconfig s +Ġguess ed +ि ठ+Ġinitial izer +Ġ? ", +ĠVer izon +man ifest +ge ben +.d etails +G ate +pons ible +ĠEl im +, str +Ġwrit ings +ĠD erek +ĠCo ordinator +Ġpill ow +Ġnotice able +R s +Ġduplic ates +ern els +k J +.z z +oll and +ĠSE CTION +_f name +uff led +'].' ")Ċ +ĠD ollar +Ġem oji +Car ousel +- player +Ġadjust ing +Ġjug a +alleng es +g ene +(body Parser +lop edia +ĠBeh ind +Ġslee ves +Ġdrag ging +ĠChe vrolet +Ġb iz +iv ities +ĠFrequ ency +, char +.W HITE +_pre view +) ';Ċ +_ ax +ION S +.c pu +.input s +UB E +_fe ed +ĠSup plement +! ). +es us +ĠU DP +Ġmicro phone +Ġconf irms +.is NotEmpty +":" ",Ċ +_S CREEN +ĉ expected ++-+- +-+- +ĠH ait +fast call +Ġdep ict +v b +_p icture +ĉd escription +ĠW ife +uc i +Ġv icious +ä» ĸ +ue ba +Ġset User +ãģ ¡ +Ġd iving +Ġoper a +user content +ar ah +) }, +y un +vel t +Ġun covered +Ġh ips +Ġosc ill +Ġassert ing +ĠX i +.re store +ke a +Ġsp elling +Ġder ive +ab we +ĠD ow +.set Type +_v s +Ġco zy +.c ategories +O rg +_m gr +Ġd ungeon +collection View +ĠBl ank +ac ias +ä ä +_clean up +_ACT IVITY +Ġtri angles +.Menu Item +Ġip hone +ĠW on +] ]ĊĊ +ĠCompar ison +.D oc +Ġcan onical +ĠSud an +') { +Up Inside +b uiltin +ENC Y +x be +Ġch uck +Ġcontrad ict +Ġnuest ro +Ġarchitect ural +ĠF ib +Ġcomp ares +* k +C fg +çĦ ¡ +nt en +Match es +ĠDOWN LOAD +_HAND LER +man agement +[ S +EN G +ÂĢ  +f ang +Ġsl ipped +ĠL anka +esc aping +Ġtack les +ĠPed ro +.P rop +.' ' +.G enerated +.New Guid +at rigesimal +ill on +Ġstat istic +spec ies +hold ing +Dr upal +Ġfundament ally +Ġbond age +Ġres olutions +Inline Data +\ Type +est ion +.w rap +Ġwar riors +ĠLOC AL +Arch ive +Ġembr aced +á» § +.V er +ĠAff ordable +oles ale +ĠAp plied +ĠCon version +m ega +_c am +Ġcer emon +aur us +ĠVol k +.op ens +/ about +ĠSt d +j ournal +()) {čĊ +," \ +( Arrays +ĠD ense +ase ña +än ner +/ stat +user Data +Ġg erman +Ġt z +worth y +Format Exception +ph erd +Ġsm iles +ĠWh enever +( adapter +.bad logic +Ġbrief ing +.Grid Column +- char +dim ension +ĠC opper +Ġnin th +Ġ' {{ +Ġr av +_T able +Ġderiv atives +ĠR aise +ĠF ut +arm or +-p adding +Ġre min +ĉ style +ĠMembers hip +Ġspread s +Ġgall eries +ĠClar ke +Ġcon ception +min ute +Ġab usive +_ad j +Ġterr ific +Ġover t +our cing +Ġentr ada +level s +Ġcrit ique +Ġrespect s +ĠM MA +i ene +Ġenc aps +ĠRay mond +Div ider +iv able +b az +Ġ@ _;Ċ +ĠCl aire +Ġur ging +CE E +Ġtransform er +disc ord +ĠJ ourney +t os +Ġcompet itions +ĠO BJ +ĠB is +Ġrelax ation +id y +_IN STANCE +ĠP ref +d ados +ici encies +ĠMedia Query +ĠC ube +ĠStr ange +g pu +(d ays +_Init Struct +Ġfinger print +em at +ĠGe cko +Ġr ails +ĠL um +str action +ig ung +(m ovie +_d ictionary +_int errupt +ĠQ C +ik ed +append Child +rec ipient +r é +V e +Ġtow el +.last IndexOf +Ġplace bo +ĠW ie +.es p +( Debug +oper ative +Ġdece ased +& id +ĉm utex +el ic +Ġb apt +ĉ čĊčĊ +Ġfar ther +H alf +.dis able +.menu Strip +le ccion +Ġresult Code +Ġc ans +-e lection +f emale +_F IX +aus ible +ĠP OWER +Ġrecon struction +Ġsc ans +.Xtra Bars +âĢĺ s +Rem oved +Ġparagraph s +_m argin +Ġl ymph +Ġb os +ling ton +ĠBapt ist +Ġadvertis ements +ĠMan age +/ yyyy +IO US +ENC ES +ĠF iction +ĉm enu +ĠFile OutputStream +ov an +ĠF eng +Ġsk ipping +get Class +ann i +Ġreb ounds +Ġpublic ity +Ġing res +use ment +Ġthought ful +.Ch art +Ġhat te +pass port +Ġhook ed +ĠL ens +Ġflag ship +Ġst ip +ĠG EN +Ġcl ues +ip v +ĠR ise +ĠG ew +tab lename +Ġfore most +_ validate +_an alysis +oll a +Ġqual ifications +Ġdistrib utions +ĠFl ower +Ġt ense +Ġthank ful +Ġcl utch +Ġun ified +ro ads +Ġsit i +Ġst all +_P RIORITY +c stdlib +_USER NAME +.by tes +? page +ermal ink +ĠVe get +/v nd +- author +.N ONE +ĠCon current +ĠC ry +Ġstart ers +ĠInter action +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ +ĠLE VEL +E ll +Ġcom boBox +ĠTh eresa +te k +_H andle +Ġab y +.g dx +, end +(L ocal +O l +kn ife +ar ial +ĠH off +Ġprostituer ade +Do ctor +Inst ances +.Set Value +ĉf rom +Ġlux urious +Ind ent +Alloc ator +_D RAW +(", ", +ĠFr ances +Ġgroup Box +(s chema +Print f +OR IES +- gradient +Ġre put +ar in +_D ONE +in cre +ig nty +Ġex ert +Ġ- . +/ App +-th rough +Ġdecl ining +Ġdess ert +Ġinc umb +Ġdesign ation +.P ORT +, strong +Ġsand box +Ġw ines +ĠP av +$ str +ask ell +Ġh ö +ĠP Y +Get Instance +Text Input +game Object +/ events +created At +Ġlocal Var +ĠWH ITE +per ed +ile ge +eff icient +, color +c ate +ĠC afe +Ġsimilar ities +Ġp umps +ĠHung ary +.User name +Ġsk ate +Ġtouchdown s +Ġacceler ate +ĠH elen +OM EM +ĠK un +_v ol +Ġfind All +ĠMens chen +a head +); " +kom men +Ġpossess ed +.arg max +.trans ition +AR P +OLUM E +(s cript +ĠÐ ĺ +ĠF inding +on ces +I o +B old +Ġrenew al +_D IALOG +Ġdis reg +INT ERN +Ġt oute +Ġelect r +ĠG ross +ĉ true +.F ields +ĠW IDTH +ĠD ent +Ġà ģ +NS Notification +Ġa os +Ġme lee +. Validation +ĠDE C +-depend ent +Ġsu ic +T raits +$ message +ĠD ear +ĉ FILE +l anguages +.P rot +.add r +-g eneration +IC ON +Ġtrans plant +-d escription +Ġch asing +Ġche es +Ġ} */Ċ +Tr ad +qu eries +/widget s +sub package +Ġes pec +Ġcr acked +Ġcompet itor +P urchase +- team +olec ular +or Thunk +& P +Ġrel ent +/ #{ +Ġproduct Id +Ġè ¾ +ĠL av +ĠAl ter +.M ode +AD IO +gr p +æ ·»åĬł +Qu it +Ġdepth s +-c ategory +ĠD ATABASE +S PELL +ĠFal con +ĠQString List +Ġ'' . +ĠIn stitution +d amage +az or +bel ongsTo +ver ages +ĠN ONE +ipp ets +, \Ċ +Ġfoot print +_ archive +n ak +.get Field +ĠRef lection +Ġ' ] +ĠH BO +_dis count +Ġin cest +ĠD odge +ĠW ade +.N O +" encoding +ĠBlock chain +Ġlaws uits +ĠM aint +ch ten +Ġét ait +Ġktó re +_ ctl +(t imer +B attle +iz o +ay ed +I OR +ĠGlas gow +Ġsyn th +_log s +.p ose +_Adjust orThunk +(( & +Ġuns ure +yst ate +íķĺ ëĬĶ +O ULD +. ng +Ġdefault dict +work space +Ġselect ive +Picker Controller +YNAM IC +.method s +Ġpath ways +ĠF ew +K G +CRY PT +follow ing +ĠD LC +ĠS ara +Ġpres et +estruct or +ĠK urt +Ġair plane +Ġo mp +ĠParent s +ĠMart inez +.com plete +Ġbroad ly +Ġsc are +ĠM é +Ġelim ination +Ġpou red +/ sw +Ġcom un +Ġm asc +ĠOrgan ic +ĠString Utils +il ateral +Ġreluct ant +- age +Ġn z +." \ +Ġpast or +ale z +Ġe fect +pro v +/ init +Ġp enn +und s +Ġs size +ĠPro j +bas ename +Ġsh ells +ĠNe ck +ĠEn forcement +vid ed +st own +S phere +$ r +uss en +af il +ĠTele gram +Ġanaly tical +нÑĭ е +us ually +x n +Ġhistor ian +ĠGreg ory +ol ph +ĠUn a +Ġcon tributes +% - +anti ago +ÑĢ ед +.reg ion +Ġab rupt +ĠUnsupported OperationException +ĠT ASK +_f inish +Ġnot orious +ĠV s +ĠM Q +Ġsun set +Ġun acceptable +ar cer +Ġill umin +ĠOr b +Ġb h +E ste +_dis patch +Ġr ipped +Ġtou jours +ĠPar cel +_ ll +.user Name +.class es +S OURCE +( Number +ел Ñı +Ġhead phones +(s ide +const itution +ann ah +čĊ ĠĠĠĠĠĠĠĠčĊ +Ġcl iff +- ref +Ġmo strar +ĠPow ell ++ y +ĠB G +_f ragment +.P ort +Ġreal izing +param ref +Ġh ometown +@ Table ++" --}}Ċ +F rench +Entity Manager +ĠPl ain +//////////////////////////////////////////////////////////////// //// + ³ +( RE +c apt +Ġorgan isms +Ġj ets +ol ocation +ĠApp RoutingModule +Ġgl orious +æľ į +Ġdisc arded +ĉĉĉĉ ĠĠĠĠĠ +ĠArn old +l ug +Ġpar l +Ġhorm ones +Ġm ah +ĠSon ic +Ġorgan izers +_PL ATFORM +.in v +Ġch ord +vent ional +ĉ of +Ep isode +. Enum +unk t +ĠD h +ĠJ ared +ĠN ak +Ġint ends +End ian +Ġa ustralia +_c v +(res olve +Ġclin ics +lik ed +ASH INGTON +in ha +' * +ĠN P +_b eh +Ġh f +Ġw ür +c ategoria +$ form +Ġsub way +Ġis Active +pop ular +C our +Ġco oldown +Ġa insi +ĠGL uint +ere al +Ġarray Of +Ġh atch +======== == +ress es +_P P +. ^ +_dec ay +ĠB less +met rics +ĠCOPY ING +ĠDump ster +ĠJos é +ĠDesign s +< +Ġ" }Ċ +time zone +Ġe er +max cdn +ĠE SC +ig aret +_conn ected +_re verse +Ġquestion able +ĠUS C +Ġtut ti +Ġdrop out +ĠActiv ities +ĠW inds +')) );Ċ +Ġcon gest +ÄŁ ı +Ġprolong ed +è¿ Ļ +ĠCross AxisAlignment +LE EP +ĠVAL ID +ĠG az +Ġdepend ence +ĠP rix +.Compiler Services +j ump +Ġstr at +c irc +ĠC USTOM +x aa +Ġb mp +Ġb ureau +Ġw aren +N X +( Window +ĠChrist ie +_F E +Ġt n +ĠOm ega +communic ations +Home Page +com pletion +Ġsupply ing +YP ES +á vel +åĪ ¶ +(c lick +\ Contracts +/ questions +Ġe z +AM S +.m esh +Ġ' \Ċ +Rob ot +Json Object +ĠD F +ĠProcess or +_sh ould +.prot obuf +- users +Ġemb ry +F ONT +Ġstart ups +ĠData Source +) # +uro s +_C olor +Ġstand alone +} [ +j d +Ġforg ive +Ġng x +ĠGener ally +Ġconfig urable +/ order +Ġv as +') ";Ċ +ĠR R +ĠT roy +Ġcomprom ised +ĠSw an +int endent +Cent ral +_ keeper +Ġar quivo +ĠRead Only +_cur ve +k v +ent in +è ± +ĠE y +.im read +ĠP am +if fe +at ivity +xb c +Ġgr im +-f illed +names e +'] : +Ġa ur +ĠGib son +.Mouse Event +Ġl ado +avad oc +Ġfam il +ĠM oder +f ps +ãĢĢ ãĢĢ +- example +ĠAl zheimer +ĠU tf +_arg uments +Con clusion +text Content +rem aining +Ġinterrupt s +ĠBack up +ĠM ong +Ġrecept ors +h istor +.cor outines +Ġsh outed +Al arm +Ġcomb ust +Ġg rote +ult ural +( ids +---------------------------------------------------------------- ---------------- +ipl inary +O pts +ĠY ale +local Storage +Ġequ ival +ĠF leet +\ b +* pi +ĠQ Label +æ ¡ +Ġv x +ĠA CL +Ġsu cesso +Ġper c +ĠNot re +Ġan arch +R ing +sp b +Ġstr pos +st ores +ĠMap le +(Main Activity +(" ")) +Ġview Holder +Qu ad +Ġig ual +ors che +.m argin +Ġind ie +Ġfr anc +ĠForm Builder +ĠPart icip +.fl ash +Ġstorm s +U lt +Ġf en +[ new +E ver +=" Ċ +Ġlocal ized +_f ollow +Ġn ave +Ġdomin ance +(t ile +J ournal +ĠV C +Ġpenet ration +ï¼ ķ +Ġcomp artment +Ġb ids +Form atted +****** /ĊĊ +(c ity +âĢĶ it +[ C +Ġuse Callback +a ub +) ?. +ĠV AR +ĠSe bastian +ĠM oss +Ġabund ant +G reg +ÑĤ а +_c i +Ġbib li +CR M +ĠAt tempt +ism e +d ash +ãĢ İ +_m u +.Formatting Enabled +Ind eed +-d irect +Ġsuck ing +Ġp ne +ocab ulary +ĠPack ers +.N avigation +Ġp ied +cri bing +ĠSt uart +.To Double +ĠSecond ary +S aving +ĠD ut +ĠM add +M agic +, H +.document Element +ĠB ST +Ġdiff ers +Ġmore over +_ nd +SE ARCH +п ÑĢав +æ ´ +to Match +Ġdecre asing +-m ember +amp us +( boost +D aily +Data GridView +ĠHttp Context +Ġh ipp +_work ers +-l anguage +é ĵ +Ġconsist ed +ath ing +ĠMer cury +$ content +Ġpract iced +ĠMod ules +_D AY +Ġweakness es +ĠL odge +Ġn ar +ĠM ate +Ġj p +ĠHttp Headers +Ġsm o +ĠT OKEN +] )( +Ġaqu i +sw agen +Ġs rv +ĉ ans +A round +ĠMan uel +Ġfiction al +ĠIM G +Ġ. ' +ĠB erry +Ġwall paper +sex ual +ier o +Ġ çļĦ +ìĨ Į +Backing Field +ĠAd rian +BASE PATH +Ġrepe ats +Ġbl ues +Ġunp redict +_c oll +st acle +ĠT umblr +ĠEl f +Ġass urance +Ġc ensus +ĠIM PORT +END ER +an os +Ġ= ( +ĠEll is +" ĊĊĊĊ +.w in +ĠA bove +al on +_t ick +Ġrepresent ations +Ġæ ķ +w id +ĠAr ms +List a +_f ailure +_c m +.Flat Appearance +Ġthr one +P atch +ĠV oy +eng l +Ġnegot iating +> ` +Ġshoot s +ĠF PS +.Y ear +ĠK iss +enc ión +reet ing +From File +Ġresign ation +Ø · +Ġtw ins +Æ°á» £ +Ġge bru +.get Content +.T ree +ĠEmploy ees +ĠF IFA +Ġcert ainty +(C l +Ġtot als +edit able +ॠĢ +.Report ing +M as +qu iet +.r ules +ĠV O +con exion +, K +Ġalloc ator +ĠPow der +\ Repository +Be at +_t ipo +Ġ[' ', +_IN TR +Ġ<< < +< hr +") == +ugg age +ĠC raw +Ġé galement +Ġg inger +Ġprim era +Ġprod uto +lt k +.User Name +Ġstr error +m ith +_n b +Ġdis comfort +']; ?> ");čĊ +drop IfExists +ĠB eg +_H AL +Ġcross AxisAlignment +ĠE vidence +Ġpec uliar +Ġinstit ute +ve is +Ġf ft +à ģ +Ġzo ekt +an aly +ĠHom eland +Ġpen etr +udden ly +ĉ element +ĠB ren +ĠTr udeau +ĠCub an +j am +us lim +_e v +Ġst ems +} % +Ŀ å§ĭ +Ġbrand ing +Ġcorrespond ence +.j query +¢ åįķ +ĠRead s +(Http StatusCode +ass in +(s lot +ĠGrad uate +/// < +Ġinform ations +EN ABLE +Ġp uis +Ġfind er +ĠBr is +Ġnett steder +_m id +Ġo gs +ĠSter ling +Ġar rog +str ftime +| ĊĊ +Ġvo x +ĠReg ardless +Ġes o +ĠCom fort +.Boolean Field +Ġu h +AC Y +Ġsque ez +ĠV ic +cont ro +. lo +Ġ ire +ĠCom edy +ë ¶ +Ġorigin ated +Ġsh ipment +| max +_g uid +lev ation +на Ñı +( undefined +ĠD DR +Ġshoot ings +ĠLat ino +END OR +Ġaver aging +Ġgre eted +Ġthe aters +о е +Ġd B +Ġg st +Ġdef inite +. Storage +.h er +Ġa fore +ĠRe ality +ĠGod s +vers ed +Ġhands ome +Ġex cluding +( ad +Qu otes +ĠS cheme +? q +ĠT amil +T icks +Ġp est +' n +Ġporn ography +_mod al +Ġ ---------- +Ġdis posable +F REE +Ġsh ark +C HE +Ġdep icted +Ġdemonstr ations +ĠK illed +ĠR ULE +Ġobs essed +Ġsimpl ified +Post al +Ġconcept ual +Ġp st +L as +_PRO JECT +ucceed ed +ol u +ÄŁ i +Ġpersonal ities +Ġres hape +Ġenc losed +ĉp tr +Ġtutor ials +Ġexpl oded +_DIRECT ORY +åĨħ 容 +Ġcan on +Ġrecogn ise +P AD +ĠAppro x +ĠRest ore +ĠImport ant +Ġheav ier +.Se quential +Ear th +ĠMil k +.set Request +.t em +Ġre construct +Ġskept ical +_Pr ivate +BU F +qu a +: a +Ġse k +Ġd well +oss a +Ġreward ed +и й +(top ic +_part ition +Ġ__ ________________ +Key words +ĠFr anco +L ite +Ġn aken +Ġз а +O BJECT +Ġcraft s +ĠSw ap +.X na +.Con nect +Ġbalcon y +(re al +ĠBarn es +b ir +ĠTw enty +ay an +at ars +ĠProp el +ĠIh nen +Up grade +Ġcur b +- second +Ġn eph +.p res +ìŀ ħ +.se q +Ġp added +" ? +j l +ãĥ ¬ +') a +Co ordinates +Ġen acted +ENT S +Ġl ac +.f inal +ĠPhp Storm +c alled +Ġin quiries +.m iddleware +ĠD owntown +/ ';Ċ +Ġkil omet +ac cel +Ġqu ien +w string +set Data +Ġman era +Ġmod ular +rim p +Ġtar iffs +âĢĻ il +_TH ROW +/c olor +ĠHT MLElement +Ġcar ro +Ġpr ere +Ġplot ting +ĠPos itive +ĠMach ines +OT ES +á» Ľ +ple asant +Ġal te +Ġa inda +th ese +Ġc ors +ip ay +ĠAdvis ory +ĠRub io +j q +Ġl imestone +Ġdet ached +设 ç½® +ten ant +ĠDep th +al ore +ĠÑģÑĤÑĢ ок +ĠF ORE +ĠL ay +p resentation +) ');Ċ +.sub plots +Ï ĥ +N OW +G ar +hand les +ab ra +put ies +ĠElect rical +M iddle +rop ic +ĠJ D +ĠD yn +ĠB ristol +ĠMc Carthy +Ġstri ker +Ġenumer able +ĠEv an +.default s +qu ences +) || +ĉt oken +â Ĺı +-d ropdown +ST ORE +ĠGraph ic +( pp +Ex pl +Ġup wards +ĠD istributed +ĠW EB +J er +is NaN +çĶŁ æĪIJ +> R +üss en +ef s +Ġun cover +Ġl ud +.cal culate +Ġint ptr +Ġmidfield er +. Headers +Ġm f +ere f +.M etro +ĠSpe aking +: b +Ġcryptoc urrencies +Ġdem ons +ĉ EXPECT +Ġw icked +y outube +: Int +ĠHind i +ĠC AT +ĠØ ¹ +r ar +om ore +/ per +/lic ense +Ġre im +Ġawait ing +Ġle thal +ĠE F +round ed +ĠPl atinum +ĠвÑģ е +.co ords +.De vice +/ item +ĠW enn +compile Components +ĠK inder +.remove Item +Ġand a +bn b +Ġpr a +( transaction +Ġembarrass ing +ĉ BOOL +.content View +Ġevent data +at ore +Ġprovided In +ir ma +Ġz ona +_H W +æ Ļ +Ġst ove +Ġcounter part +_Pro duct +_MAN AGER +Ġinfr ing +ĠE RA +_p arty +Ñ ij +Ġin ici +_ Request +Ġmir acle +Ġcancel Button +S py +at ó +Ġpol ish +ĠNic ole +.display Name +\Request s +Ġuse History +Router Module +Ġst ared +ID ER +Ñĥнк ÑĨи +Ġnot a +$ arr +pec ified +Ġto pp +_DR IVER +/ ng +å ł +_t m +% timeout +< s +Ġ( *) +ĠHttp Request +_TR ACK +(n ote +ĠExp lore +_s erv +Ġç » +B inder ++ ", +. att +ĠEth i +Ġc ódigo +=' \ +.l ines +( Of +å° Ĩ +miss ible +Ġv é +Ġac oustic +Ġcraft ing +n it +.b a +ĠLuc y +Ġi Pod +Ġpup ils +-m ax +_w r +(c p +ĠRE PORT +Ġd ns +ĠRe ferences +Ġundert aken +Ġkø benhavn +Ġch ai +ĠC roat +_ Log +rown ed +_m ed +ĉ date +# __ +Ġcost umes +ĠRe quires +aff le +ç Ĭ¶æĢģ +-S emit +ela ide +еÑĤ од +Ġp estic +Ġd ra +DOC UMENT +Ġ... čĊ +}` }Ċ +ĠA uction +ĠD ock +xxxx xxxx +(get String +ħ į +Ġborder Width +ĠMach inery +Ġpredict able +.S H +Ġam plitude +.for Root +IN avigation +Table Model +at trib +Ġmaneu ver +Ġexc av +B ERS +Ġd apat +Ġinstall ations +.A sync +Ġr ays += âĢĿ +; ččĊ +.c rypto +_db g +ĠEnum erable +Of Size +_epoch s +m w +M ENU +out line +ĠP apers +============ Ċ +Ġuniform s +ĠG ig +- package +ĠJen kins +ĠHome Page +.is Selected +Ġmechan ic +M K +ĠS ounds +//---------------------------------------------------------------------------- -Ċ +Ġresearch ing +Ġinf os +ograph ics +ers et +([' / +ĠTim ber +. agent +.to JSON +_command s +par ing +_ad just +.n ome +(g lm +Status Bar +file path +? âĢĻ +Ġdetect ive +Ġunser er +ĠTib et +EN DED +(se ed +Ġsne ak +Ġam or +=" // +ĠPan thers +all ax +ĠL IVE +ĉD WORD +]= - +Ġtorn ado +/ min +Ġlung s +-c urrent +ĠBook ing +åĪĹ è¡¨ +Ġenjoy ment +ठ° +J A +typ ed +.B tn +f at +ug al +ĠSh ares +Ġdis gr +ĠB AR +ĠFO X +Op code +ĠS z +key down +iction aries +Ġdetail ing +} ))Ċ +Ġp ok +Ġdemonstr ating +Ġnot ation +l ayers +@ if +ĠN PR +.strict Equal +ĠRec ipes +.T ensor +Ġliqu or +Ġdeb ts +.ends With +W heel +.P os +CS V +$ arity +Ġun stable +( loss +ENS OR +Ġele ven +ĠL opez +ĠHop kins +con om +ĠS eth +Ġpo ems +Qu ant +Ġg sl +Ġsy rup +Ġs ibling +Ġc ass +-v ous +ö t +_P ATTERN +_SE CTION +est imated +up grade +.m ongodb +ĠBo at +_C TX +Ġfetch ing +ust in +pi el +M arg +Ref lection +Ġd uct +ĠMunicip al +Ġb x +.Get Current +ml ink +ĠAccount ing +ĠGene va +_P os +Ġpass er +Ġhear ings +com pan +Ġfrag ile +Initial izer +walk er +.M aterial +ĠHun ting +trys ide +Ġk at +Ġcl erk +á Ł +do ing +ĉg roup +Ġsan ction +.l b +ĠL azy +ĠCon straint +P agination +Ġpou vez +ĠInd icates +M ER +Ġcour s +Ġyear ly +Ġgros se +abb rev +ĠD ON +Ġproceed ed +ent lich +Ġproperty Name +ĠTe aching +st adt +Ġc utoff +orn ers +Ġa frica +Ġrend ers +ĠYan kees +ĠTool bar +sp aces +.fill Style +Ġseg undo +_str len +.F irebase +å¤ Ħ +Ġmention ing +\ ( +ĠVal ve +Set ter +Ġsp ans +ĠAl cohol +ĠLet ters +\x e +ĠT K +_B LE +.get Result +< Player +ĠP att +Ġeas ing +Ġtur key +ĠF en +') " +Ġconf ined +Ġin clus +Sup erview +(with Identifier +enc ial +Ġstuff ed +Th eta +Ġeconom ists +} ));ĊĊ +co okies +ĠRo ose +ĠChe ese +Ġfich ier +Ġen forced +AB B +no ÅĽci +_AL LOW +Ġrecru ited +Ġexpend iture +-n ight +Ġassert NotNull +_ex ecute +ĠØ ¯ +IN DEX +_F MT +Ġresc ued +ĠMonth ly +ĠCons ervation +ĠG eb +Ob ama +Ep och +ic ies +ĠOr t +Ġso it +( icon +F riends +m ol +Ġground ed +ĠC ause +ad ena +WE EN +ĠL un +IT IVE +. loop +_un til +Ġcor r +.ed ges +Ġhyp oth +ched uling +trans lator +ĠÐ ľ +R om +ãĢij ĊĊ +ĠX amarin +Ġviol ating +. anchor +--- ĊĊ +Ġtr ader +AD VERTISEMENT +Ġuns ere +ĠD AO +Ġbl ond +ĠP AT +.g lob +Ġè¾ ĵ +Ġsplit ting +Ġun subscribe +Ġatmos pheric +ĠTr im +Ġcit ation +Ġin ference +ĠF t +ĠDar win +find One +ĠG el +( Convert +Ġaccess or +; text +(s orted +Ġjud ged +); \ +: p +Ġme ine +ĠS lim +.Command s +Ġper ceive +coh olic +< Data +.entry Set +Ġassert False +ĠPat rol +ense m +ÅĤ Äħ +¨ ¡ +W IDTH +ĠRes cue +ĠU IF +_THRESH OLD +ĠMich el +ATER IAL +opens ource +ĠD iana +Ġinv ites +_B ODY +Ġreserv oir +Ġro i +c ust +(t c +ï¼ģ ");Ċ +Ġfest ivals +Ġperform ers +Ġclim bed +Ġj ungle +String Length +Ġunlaw ful +ier re +vertis ement +Ġst akes +Ġh ats +Mod ify +ĠLET TER +.H ide +Ġstat utory +_ white +ĠPer l +uten berg +em ple +.W orld +Ġoverlook ed +Ġcon cludes +/* ================================================================ +-w ise +ĉ stream +pop ulation +Ġevent o +Ġillustr ations +ft s +Ġaut of +ĠPro cedure +Ġdes erved +-t imes +Ġg ol +N SError +cre st +ĠPak istani +any ch +get Current +Ġl ar +nt l +ĠRe becca +Ġm ateria +Ġfind By +/ ad +Callback s +ĠAl s +ĠKat ie +ĠObservable Collection +ĠDocument ation +Typ ed +ĠCulture Info +ĠTim othy +Ġlater al +" type +Ġun authorized +Ġteach ings +Ġdebug ger +[ value +Ġal ors +Ġu z +Ġsc atter +Ġdown ward +Ġmig li +status Code +Ġ( )) +ĠM W +Ġм ож +RO SS +.b uf +Ġfair y +ĠInf rastructure +=> " +t lement +$ (" +From String +ĠB ild +Ġconvent ions +_n ative +ĠIns pector +ĠP ist +ub ar +Ġreg s +ĠP ilot +Th us +>' + +Ġc ela +.new s +( Product +L iving +R ussia +Ġfac et +et ical +Ġ[' $ +/ [ +ĠD ire +Ġg ases +ĠIN FORMATION +ĠE at +ĠFor ums +ĠChar acters +_m et +Ġìĭ ľ +Ġk ings +ach ie +ĠL ambda +Ġtim ers +ĠLight ing +ĠCase y +add ir +and ex +. answer +ĠH ip +ĠPr incip +Start Date +Ġ ãĢĮ +t res +Ġ& # +.Max Value +ĠPro blems +Ġlat ex +Of Class +ĠLyn n +// ' +Ġvoy age +Ġshut tle +ĠRoll er +ĠRuntime Error +uy a +D ic +ĉb uilder +Ġbul lying +Ġsimple st +.c alled +ĠL R +Ġmor ality +Ġst urdy +tr acking +.sw agger +_B IND +IT OR +-url encoded +ĠÑ ħ +ĠTr inity +Ġtr aps +Ġ| - +Ġset Text +Ġbarg ain +Ġbr akes +.get Code +Ġmigr ate +Ġrib bon +) return +Ġcharg er +ac om +ADI US +ĠAmb assador +-a fter +Ġann i +ĉs pin +Con cept +ĠHend erson +ĠH OST +.r ank +ĠNor theast +Ġber lin +Ġrequ is +.f eed +Ġsource Mapping +ĠRen contre +. ajax +nest js +Ġtre k +ĠN acional +Ġ& [ +Ġpay able +ort ex +Ġde pt +field Name +Ġcomple tes +ĠR VA +Ġon ions +al ignment +Form ats +Ġ' {$ +Hash Set +ĠB od +.Invariant Culture +Ġsettlement s +Ġhy dr +. updated +vent h +( seconds +="/ " +Ġweb page +( ĊĊ +Ġt ir +Ġto es +ĠBr ick +Ġamb ition +P ot += max +ET IME +Ġdep ot +c alls +ĠNor wegian +` : +Ġbur ger +Ġprofess ors +ĠAl locate +-third s +-ch art +Ġfor d +* N +.k otlin +Ġpaper work +ĠDE VICE +% @", +res pect +(m p +é «ĺ +- if +Ġcush ion +ob ot +Ġpar c +SP ACE +ĠNet anyahu +Ġself ish +fe at +Ġclient es +-to ols +Ġpor ch +Ġj q +. verbose +Ġlib erals +] )ĊĊĊ +p ies +Not Blank +( term +ÈĽ i +_Param s +.normal ize +B ullet +AS IC +(h ex +_client e ++ , +_D I +Ġforth coming +} ")]Ċ +se o +U m +> Name +Ġcomfort ably +irection al +W ITH +/ pr +ĠP oor +ĠVit amin +v ic +G H +Ġprior it +ĠN N +ĠC losed +¤ í +Ġis Open +\ Console +And Feel +.S UCCESS +_OPER ATION +pol ation +ĠT as +ps z +> '. +C URRENT +V endor +host s +ĠE rd +>tag ger +ĠsourceMapping URL +Ġmar athon +_c losed +Ġexem ption +Ġrecogn izes +ides how +' $ +('/ ');Ċ +m its +war z +ĠCh erry +µ ¬ +n or +port e +Ġw l +_back up +.get Boolean +.get Resource +Ġdefinit ive +. EditText +Ġs ÃŃ +.C ONT +ĠPL AYER +.c ards +ĠSh ore +('/ ')Ċ +cl uir +Web Driver +(m onth +-re lease +Ġins pector +å £ +ĠN F +_cl ip +åŃ IJ +Ġinteract ing +.t mp +Ġ'' 'ĊĊ +Ġde e +Ġfro st +"] ))Ċ +ĠPl aces +Th rows +f ork +/ day +i Phone +ĠM IC +Ġfold ing +Ġcro re +ĠCh iefs +pher ical +( price +.Write String +Ġexit ing +] ',Ċ +ight ing +Ing redient +( vertex +Ġscroll View +h f +: new +SE N +se ctor +Ġsp ins +ĠS cheduler +ote chn +sem icolon +Font OfSize +ĠSpecific ally +fl amm +.Object Id +Ġcont a +_per missions +ĉF ROM +IC ODE +/ kg +ĠHot els +-m ed +ĠD in +Ġn avy +get Param +Ġm end +Ġportray ed +ĠMet ropolitan +Paint er +Ġref erral +_g ood +Ġmar vel +osa ic +> (& +. ur +Ġest os +Will iam +Ġtim ber +Ġquel ques +ĠDoc uments +.X aml +Ġbatch es +éģ ĵ +ĠRe leased +T ail +CO OKIE +he id +_st ation +ĠV ia +S ale +ĠRe peat +Ġprom in +ĠZ o +- forward +ĠI on +it ary +Ġj us +- request +Ġproud ly +ĠStream ing +(Mouse Event +ĠS print +_ rotation +Re positories +Ġt art +ĠÑģ в +Ġm appings +è ª +C u +C ycle +Ġb un +ĉl ua +ãĥ ī +Ġ(( ! +Ġcollect ively +ĠCon d +Ġwsz yst +(l ib +openh agen +_s kip +.Column Header +é Ĥ +peri enced +ı è¿° +_p rops +Ġcontr ace +Ġmatch up +ab etic +.m embers +RE CT +(d at +Ġs og +ren om +_M ethod +Custom ers +full name +Z N +re try +Ġk ap +ĠNe u +è Ĭ +add Child +will Return +_p ermalink +Ġener getic +ĠW et +ĠMor r +Ġg cd +count s +, type +d ig +( Login +Ġcr acks +Ġbacter ial +ĠMe at +ĠArm strong +ĠBron ze +Ġapprox imate +_dir s +lig a +ÅĤ ad +Ġkind ness +Ġcont re +ĠE VERY +M ET +Ġannounc ements +g pio +ĠWaitFor Seconds +ĠPhotos hop +Ġdis contin +/ dd +Ġtop ology +an ical +. interface +auc oup +.Hash Set +ARI ANT +(r outes +ĠT eh +Ġh ype +] "). +Ġsl am +Ġbro th +- inter +ĠR id +-m anager +Cancel ar +ĠP agination +Ġsound track +Ġpost erior +Ġscr ub +cre ating +- * +ir teen +.d y +.s ymmetric +Ġ"" . +============ === +Ġch assis +ĠnumberOf Rows +Develop er +_b ins +ĠO UR +ri eb +Pro s +Ġwi ÄĻ +" d +Ġasync io +ze igen +_s pi +.A LL +Ġscre ws +Ch inese +Ġapi Key +Ġun successful +ĠSeah awks +OR G +ç« ł +Ġprofession ally +ĠCou pon +åŃĹ æ®µ +Con vention +Ġpol ym +æī ĭ +Ġsalv ation +Ġengine ered +ĠW rest +ĠG CC +Ġwar mer +Layout Constraint +Ġag grav +Script s +vent ure +Ġrefriger ator +Ġinnov ations +ĠRun ner +N IC +ĠRoll ing +Control Events +Ġlo os +p ac +ĉ panel +ef e +ĠBudd ha +------------ --Ċ +åº ĵ +(for Key +Ġl umin +Ġ( ? +ĠA IDS +, user +im ientos +content Type +ant lr +é ¦ +ĠW elt +Produ ction +m ight +ĠV II +", ( +Ġobserv ing +Ġdeliber ate +( control +Ġwith d +Ġsem ana +ST ACK +uch en +N ice +ĠDeutsch land +ĠSpec ifies +d ma +iz io +ĠF acts +_pop up +ĠDirect ors +{ : +[ R +ĠÑį леменÑĤ +Ġpl at +Ġdirect ing +ä¸ ī +ĠGil bert +âĢ¦ .ĊĊ +.q ml +Ġthere after +Ġdis position +d raft +Ġsurge on +ĠIns ider +Bl end +ĠT rev +tr insic +Top ics +rie ve +_FILE NAME +Ġaut res +J ose +Produ cer +er us +Ġpet it +ĠN EXT +ĠF ilters +Ġreplic ate +"] ). +Ġl enders +] ",Ċ +; charset +Cpp Object +Ġfl oral +ĠT ipo +Ġcirc uits +e asy +(& $ +itt a +ery l +_COMM ON +'}} >Ċ +-back ed +(var iable +( Index +Ġvo ir +_loc ations +++) { +ĠLouis ville +Ġgrat itude +.Mock ito +ĠP owers +ie urs +Ġge ographic +ra le +Ġc ra +ĠSp urs +iph ertext +AC ION +- common +Ġvict ories +ĠFinal s +.sh uffle +-m illion +_PRO C +ass ume +Ġil s +DB C +Boot Test +Ġl avor +.test ing +. ast +"] / +m oid +Ġqual ification +ges ch +ĉ put +Ġair ports +J I +Te acher +_un iform +Ġn ama +ĠB ast +ert ype +c apture +get All +ĠReyn olds +oo led +.com ments +Ġch in +). * +Ġи ли +t gl +ud os +Ġd ÃŃas +ch ai +.pro gram +Ġps z +ĉ icon +ph il +ent ral +_WR AP +ov i +Ġnost alg +In finity +ĉy ield +Ġvit amins +Qu aternion +S ink +_g oods +Ġ ........ +ĠW ings +ur idad +-st ory +"] )ĊĊ +idel ity +Type Def +G tk +Ġí Į +_M ain +Ġche z +ĠR aven +Ġpay roll +Ġfreel ance +LL U +ĠM end +ed ay +Api ModelProperty +.Form BorderStyle +Ġeconom ist +stan bul +Ġfre ight +-A gent +(m eta +Ġsym metry +Ġ' .. +.C alendar +- aut +g f +p ent +yc lopedia +Ġwish ing +ĊĊĊĊĊĊĊĊ ĊĊĊĊ +Ġgentle man +Ġê ³ += # +Ġlect ures +âĢľ In +Ġ! _ +Ġh b +ĠV endor +Recent ly +_n otes +æıIJ 示 +" My +Headers Height +_S O +Ġunw illing +Ġsuper hero +g io +ps y +ĠPe er +j avax +& apos +ĠCr isis +ord inal +Mem cpy +++++++++ ++++++++ +- val +Ġwork book +- ap += k +Ġmetal lic +_ peer +By PrimaryKey +_S D +u ator +_SH ADER +) Math +.Trans form +Ġc ows +Ph i +ĠC lem +(_ (" +ĠL ud +-d elay +ĠSec urities +ĠOrth odox +Sym fony +(re port +Ġent ertain +E PS +iz oph +ex ual +IR D +ä» İ +Ġl ith +Ġsanit ize +Ġfemin ine +IS BN +.auth entication +_p ipeline +/ constants +ĠCON F +Ġluc r +ric ia +.t tf +.set Content +Ġst an +ore an +ĠL loyd +.raw Value +Ġg or +ĠBrow ns +Re gression +Ġlower ing +na issance +Ġbl ows +Ġam azed +Ġun related +Re views +Ġrub y +ĠMod ifier +Ġgi ants +. thread +Ġcontain ment +ĠStart Coroutine +um at +ore lease +ĠR andy +@ endif +D igest +Ġsubur ban +=" );Ċ +Ġann once +. variable +\F oundation +Ġa cre +V an +Ġt uples +d ns +ĠStand ing +_l arge +Ġbox ing +Support ActionBar +ĠFort une +ĠR um +_m ultiple +arch ical +Ġf write +_ quote +Ġfool ish +Ġcompr ising +Ġо п +- selected +v f +ma id +N ama +(d atetime +Ġindirect ly +g art +fix tures +ch os +ĠH alo +Ġrec urring +- news +v il +ĠNurs ing +- produ +ĠH Q +\Http Foundation +enc i +au en +Ġv y +ocr acy +Ġdeleg ation +Ġas phalt +Ġset Selected +k ok +/ rest +met ics +ĠNS Date +Ġtravel led +Ġrec ib +Ġm ime +CL IENT +ĠG U +ĠH ANDLE +/ Q +[ z +Ġbother ed +ĠBB Q +ç as +_ex amples +_F IN +Ġwhite Color +Ġastr onom +-d ir +Ġsovere ign +Ġb reeze +Ġin ning +ĠEd monton +g li +.blog spot +js x +Ġvers a +ĠMoh ammed +.J ob +-t oggler +Ġп олÑĮзоваÑĤ +ard on +Ġnew born +Ġnav al +note q +Ġtum blr +Ġh entai +ĠTyp ically +Ġlo ot +.S prite +Fl ight +Ġw avelength +-s k +ĠEl le +_ exports +Ġ Ñı +ĠI H +izoph ren +Ġí ģ +_pr imary +Ġmo is +ĠB N +Ġsystem ic +Ġdifer entes +IN CT +Ġ'' ĊĊ +$ q +Widget Item +cl ide +$ file +L emma +/ table +ag rid +ĠMongo DB +int e +Ġapp rent +ÂŃ ing +.D b +Ġà Ĥ +ham mer +=' ';Ċ +Ġbro kers +it lement +sembl ies +E le +{ x +Ġlast name +< - +Ġfl atten +_b and +.R oot +.read FileSync +==== == +.r x +? čĊ +Ġmetaph or +T i +con te +Ġdeb it +Ġcont empt +Cpp Type +æĶ ¯ +Form Field +r atio +os opher +Ġimpl ant +P URE +Ġal ta +_man agement +Ġref ine +ĠCheck Box +ĠChar l +- version +cond itional +ven ues +Ġrif les +Ġoff spring +Ġmill ing +Ġshar ply +Ġunder water +( origin +_ Control +Ġ. $ +Pl ugins +Ġdry ing +Ġillustr ates +- u +Ġveget arian +n pc +He art +; ',Ċ +com ma +te enth +as an +/s pec +_m oves +-m argin +Ġing en +³³ Âł +Ġpro jet +Ġo tra +Ġbr as +. utc +Ġsle pt += sub +ab ilit +post er +Ġs dk +ounc ill +Ġw d +Pre paredStatement +ĠDr um +( attribute +ĠEther net +ĉ DB +Cal ifornia +c ube +[ I +.C reated +ĠH M +Ġtr acing +Forms Module +- you +.c urrency +feed ing +Ġt body +L i +acc ion +n as +Ġtr ouver +N ONE +"} ,čĊ +Ġf tp +With Identifier +pol ate +File Info +Ġpurs ued +ĠĠĠĠčĊ ĠĠĠĠčĊ +DE SCRIPTION +} */Ċ +From Nib +Ġdecor ative +_S SL +(ch at +T LS +Ġsurpr ises +al culate +ĠS plash +( Configuration +ĠS EM +im son +/lib rary +< Double +. robot +³³³³ ³³³³ +ĠCP F +ĠUnder standing +Ġcos metic +ĠX t +t ips ++ k +(" ' +ĠP DT +W AR +.get Object +ĠTrad itional +.sl ug +ĠDi pl +=" ", +ĠFil ms +ĠAn im +.h elp +Ġemb assy +ĠBoot s +Ġb unk +-r isk +Ġp ci +Ġ/ \. +ĠI PT +Ġcrash ing +Ġip v +_ ke +ĠRES P +.Log Error +Ġinade quate +I on +ĠF ür +ric ula +Ġshould Be +al ready +']." +G ED +fa q +Ġoption ally +_D is +ĠSuccess ful +ĠC ensus +Ġinc arcer +_C ARD +Ġav iation +ĠG ym +Author ity +.B ean +sh ader +Not Exist +_Text Changed +ĠST OP +( team +" H +w g +Ġgr inder +Ġstri pe +Ġpres ervation +Cl aim +avers al +ware house +target s +Tr ust +Ġal lev +, www +ous se +_ch an +_S ize +system s +Ġobj ection +ĠK ane +Ġcor ros +ĠD SL +Ġu a +ĠM H +ĠStrateg ic +_t cp +Ġê° Ĵ +Ġborrow ed +ĠA ch +ĉ command +Ġg ps +le ston +iche ver +ĠU A +Ġassault ed +Ġspecial izes +ĉ search +Hot el +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ čĊ +ĠP itch +Ġ Ùģ +READ Y +Ġparent al +Ġg éné +Ġdonn ées +Ġdet ain +T ARGET +Ġprotagon ist +Ġclear Interval +ĠIcon Button +ĠGet All +Type Info +E H +âĢľ They +Ġ{ [ +Ġg ag +Ġ Ú© +ĠD ropdown +.f ree +g one +im ens +Ġinst al +ĉc url +_C AN +ĠB one +ï¼ Ķ +ony ms +-g overnment +.binding Navigator +ĠD ans +ĠMc L +( en +>( _ +ÐĴ Ñĭ +.* ;čĊ += j +-c or +S on +.ToolStrip Item +- around +_X ML +end Date +Ġsl ack +Ġrot ated +Ġno qa +Ġc ottage +Ġencontr ar +_s kill +hou ette +! čĊ +. weather +Ġemphas ized +å® ¶ +ĠÑģ пиÑģ +ĠComp iler +( android +ĠâĢ º +. turn +Ġsup pression +_c alls +Ġ* @ +(str len +.h ex +ĠB ills +ĠR SA +Ï Ĥ +ĠEs cape +ement ia +Ġfront end +Ġp int +_ex c +zz o +[ ],Ċ +Ġ"',' " +. Environment +Ġafore mentioned +Ġend ure +prot otype +ther apy +ss i +D eg +_pl ugins +.user Info +Print er +ĠPRO GRAM +Ġru ins +Ġempir ical +Ġcraw l +ĠBo iler +- comment +.sub plot +_ et +Ġ'. ', +min or +ĠCustom s +Ġy aw +under line +ĠCom o +( (' +(m ean +Ġcha que +ĠBlock s +.r ad +ilib rium +Ġweb driver +Ġmel hor +d ana +ĠAb use +ĠSouth west +ĠP aren +PERT IES +ĉ IL +Ġscre am +v u +Ġin comes +Ġn im +Ġl ace +Ġcompens ate +Re verse +D at +_att ack +Ġn our +ach en +ce k +< Func +w ie +com pressed +-m atch +(" ")]Ċ +im ized +. orientation +.compare To +Ġmass aggi +Ġìľ Ħ +Ġel bow +Ġant ioxid +undred s +/ tools +ĠR OW +an mar +ĠW ow +_t icket +Program ming +Ġthe or +-re view +() )));Ċ +ĠRichard son +ĠP ocket +] [] +am pp +_ health +ĠP OP +ĠNav al +Gu ess +Ġancest or +.Get All +.local Scale +ĠM apper +Ġaccum ulation +Ġsim ulated +ĠDr ivers +Ġd és +cur ring +Ġele phant +Ġadvert ised +Ġmail box +SH IFT +ĠMon ica +Ġan c +Ġward robe +Ing redients +Ġ|| čĊ +ipp y +Ġantibiot ics +av ings +(c x +ĠFerr ari +ĠAn imator +.d type +rem oved +order by +Ġc res +oc ê +Ġp ym +ĠCirc ular +@ index +ĠW arm +S ay +ĠAss istance +Ġcur tain +ĠMont e +IL ER +ĠC VE +ĠD uck +ĠAll ows +_f ire +ĠDer by +Ġre pos +Ġhttp Client +Ġpsych iat +Ġnow adays +Ġcaut ious +ĠComput ing +Ġcompletion Handler +ĠWel sh +ĠB EST +Ġstress ful +_P E +æĹ¥ æľŁ +ĠData Frame +ĉ Integer +_P rint +M oves +Ġtransform ing +.B atch +y ahoo +Position s +ze j +Ġno od +io res +_ * +Ġcl k +ĠF loyd +Ġh ap +font size +Ġn az +.not ification +ĠDep ression +Ġac ne +*** ĊĊ +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĊ +.cont ents +yn th +ĠStra ight +')}} "> "+ +Ġtoken izer +Ġsovere ignty +ĠP ence +() ");Ċ +Ġpesso as +.G e +ĠIn cluded +Ġpag ina +Ġex posing +е ÑĪ +_SC RIPT +/$ ', +Th umbnail +× Ķ +webElement X +webElementX paths +press ure +ĠCur ry +_C P +OL UTION +ILE S +prot ect +ool a +Work space +{ };Ċ +ĠU NS +Ġsymp athy +ro ker +Ġrem odel +ĉc ell +Ġat op +.Full Name +Ġfa ut +ĠE asily +_d ynamic +Ġfr amed +Ġmot ive +è· ¯ +s am +Ġmar ca +ĠText EditingController +Ġde structor +cre am +Ġr ude +ĠB old +ĠInd igenous +Ġg ens +Ġrel acion +(s ystem +ĠUIF ont +_char ge +UST ER +E V +.N amespace +Ġmer ger +Ġcal loc +g ang +Bad Request +Ġs per +-d esign +Ġâ ĩ +Ch an +Ġorgan ism +, ) += id +_pl ane +ĠC ases +elf ast +ĠLegisl ature +ĠF aker +Ġinv oking +- utils +(). ' +.f ace +Ġguard ian +my Modal +Ġclip board +ĠAT M +Ġpe as +ĠS ylv +.c alc +ĠContact s +int Value +Ġmodify ing +ĠBar b +. loss +_per centage +Ask ed +(l st +ategor ical +- files +ĠRoman ia +.A c +Ġh ai +ĠF lying +Ġ ż +j p +ĠTr ainer +. arc +_de g +Ġtrace back +Or Fail +F LOW +. old +oy a +g mt +is empty +Ġvacc ination +Ġob solete +recogn ized +Ġru ined +ĠRe in +ĠTr acking +xf b +ا ÛĮ +Ġvæ re +Ġbr yster +ĠIT S +Ġdest iny +Ġsw ear +Ġred es +Ġcl f +Ġfl ipped +ĉ head +Bl uetooth +ĠOver rides +: Boolean +_ = +_l r +sp awn +: index +VAL UES +is key +? ");Ċ +.syn thetic +ĠCheck ing +struct ures +ip ing +Ġvoc als +- Up +ĠManufact urers +ĠMar riage +代 çłģ +Ġgar ner +_C lient +par allel +RI END +Ġvine gar +seg ue +J B +Ġcontact ing +ĠCar roll +Ġout reach +t ensor +_var iant +Ġthe at +lic able +{ | +t iny +_ letter +Ġp encil +HeadersHeight SizeMode +ilt ro +.auto configure +.d rag +.use State +ĠB MI +h int +Com pile +* \ +en ary +Ġl vl +.C ache ++ =" +_t v +ruit ment +Ġf read +Art icles +f ila +Ġpack aged +âĺ Ĩ +AT HER +ĠPl anned +s cheme +Ġdi ary +Ġoff enses +/ F +ĠSt ick +Ġc erc +ĠS lee +ĉĉ ĠĠĠĠĠĠĠĠ +< Image +Ġè® ¾ +- editor +pie ces +ĠD rama +Ġ// //////////////// +ĠT asks +AR C +g ateway +.get cwd +.M etadata +Ġguess ing +åľ° åĿĢ +Ġsm arter +ĠGet Enumerator +Ġe fter +/ operators +ĠGL float +Ġf ør +Ġop aque +ä¿Ŀ åŃĺ +Sp read +SY STEM +Ġinv ersion +ĠBasket ball +Ġsim ulations +Ġden ies +Ġa vez +_list ener +Ġenh ancing +ĠMy th +ĠL akers +_M D +Nd Ex +D ATABASE +Ġt á» +ar th +[ left +Ġcontest s +st ile +(K ERN +_f c +_p m +Ġpres idents +Ġhospital ity +Ġfade In +RO PERTY +_m aps +ĠDefinition s +Ġassess ing +Ġus ar +Ġquant itative +mo z +Be autiful +[ (( +b ons +f requency +Cont ain +Ġpuzz les +ĠCast ro +Ġv illa +Ġkind ly +Font Awesome +ern a +epoch s +_dat as +ĉ ip +.p adding +ĠCont est +Ġed itions +Ġdispro portion +ĠI CO +Ġcome back += value +ri ad +-s ort +Sub mitted +(n etwork +ĠC el +Ġinstall ment +l ashes +.List View +ĠV atican +(Media Type +IV ED +reach able +: Is +ĠC ITY +äº ¬ +ĠHelp ful +Ġba ÅŁ +% čĊ +Ġpsych iatric +Ġrec ycled +FORM AT +ĠG row +b ine +G it +.s s +ĠWe apons +ĠSt y +_ arrow +* self +ire ment +Ġdeg li +App Delegate +_b anner +Ġcoordin ated +ĠWeb cam +Ġcelebr ations +. act +******************************** **************** +( show +Ġweek day +Ġconc erts +ол н +cl in +Ġcr on +ĠN im +.set Vertical +ĠEll en +س ت +ĠS AM +E ff +g z +ste am +Ġant ique +ph ysical +ĠForm Data +.set ter +ĠPO INT +B on +Ġflav our +erv ention +_ENT ITY +ĉ ĠĠĠĠĠĠĠĠĠĠĠĠ +Ġintr insic +Ġæ İ +append To +aram el +) ]) +ĠRecomm end +) m +OutOf Range +Ġkn ight +Ġsat ellites +ĠTit ans +Ġweigh ed +ĠD ana +e ase +Ġs ip +S IM +ĠDevelop ers +mal ink +/ check +_P LL +n ung +Ġdry er += A +.d w +_S QL +Ġsub plot +D ROP +Ġprot otypes +Ġhour ly +display Name +Ġas i +ĠViol ence +Ġastr onaut +Ġdat atype +Ġinformation al +Ġinvestig ative +etermin ed +ren al +; '> +ĉc ol +V G +_ boolean +re cent +Ġ* )ĊĊ +ĠRain bow +om men +Ġl ur +Ġopp ression +(", ");Ċ +ĠFac ility +DEF INED +Ġne on +Ġoff ender +AF P +ĠClean ing +[] ): +Ġund ocumented +.Re positories +ĠG uitar +аÑģÑģ ив +Sk ills +Ġtestim on +rypt ography +ĠAm ber +ĠSt alin +Ġl one +Ġap enas +Ġdies es +ĠAr duino +è½ ¬ +== - +_A ct +Ġc oded +âĸ ł +amb urger +-link s +Ġarm our +.H igh +get Content +st ag +Ġhe ck +ĠìĹ Ĩ +ĠMc Connell +ĠCon cert +ĠAl loc +ä re +.replace All +Ġpart itions +rot t +ĠF le +_T REE +reason able +ĠReport ing +Ġbillion aire +s cores +min s +- eye +M ORE +ab ort +ĠSW T +Ġin verted +ĠTe achers +; n +Ġast ro +н ов +ани ÑĨ +product o +c ountries +ĠO wen +Ġcont amination +Ġv ibe +ĠEll i +.s cript +ĠOl ive +D MA +v ier +: semicolon +-m odule +gress ive +ag u +_ players +Ġresult ados +start ed +scroll Top +==== = +Ġweigh ing +Ġ[[ [ +z ahl +( NS +ĠAssert ion +le ague +.setText Color +ĉ Message +Ġmom s +_A F +. wh +AL S +Ġaut re +] ĊĊĊĊ +.op acity +ĠBudd hist +Ġde af +ĠOrgan isation +(G lobal +ens ch +Ġhead ache +ĠAli en +_in ode +ĠSt ark +Ġæ ī +-l nd +ore f +_fe at +Ġpedest rian +Ġnom inal +Ġbal loon +Ġspr ites +Prototype Of +ĠA post +ĠF EATURE +O H +Ġre cess +ĠDon na +con sumer +$ GLOBALS +ĠG IF +- frame +In icio +Ġpass ages +Date String +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ +.by te +B ug +initial izer +p kt +od ium +ĠD ER +. ops +ler i +Ġgift ed +Ġdet ach +ter rain +elt ers +ãģ ı +. loader +ĠN GO +str ncmp +K h +(font Size +ro cket +Ġpreced ent +ĠAur ora +ĠEx periment +is phere +Enc oded +ĠâĢĵ ĊĊ +Ġpy ramid +ĠAnn iversary +of il +ë Ł +( plugin +C oeff +Ġcooper ate +Ġpredomin antly +IS M +Ph rase +_DEF INE +Fl ip +AMIL Y +ĠMark ets +ĠStream Reader +ĠComb ine +Ġmanus cript +z za +, tp +Wh atever +IT ICAL +ighb our +Data Provider +.Text ure +priv acy +.S DK +Ġre charge +Ġc pp +ĠC FG +(h older +(p y +m ot +Ġsav oir +ĠR osa +ĠPC s +Ġí Ļ +.her oku +Ġf ren +ĠR iley +ag ate +Ġs ond +.x lsx +Ġh acked +st ad +G i +Ġsan ity +ĠSql DataAdapter +... ", +ĠP ussy +Ġ **************** +Ġhass le +_P ARENT +ĠU AE +Ġbegin ners +( Client +Ġstatist ically +.h our +ed elta +Ġtr action +uel ve +ar at +Ġsa una +IN VALID +Ġindict ment +AL LE +Ġdiss ent +ĠTyp ography +Ġintention al +s it +ĠAn imals +Ġcoun tryside +Ġu art +} \" +Ġseam less +¾ 示 +Ġaut os +Ġ"' ";Ċ +Fl ush +ANN OT +Ġal gebra +ass oc +ĠW aters +Ġprepar ations +ron ym +[, ] +S ans +Ġarm ies +ipe g +Ġcream y +. art +et re +ĠAn imated +Ġun pleasant +eme an +g reat +i Äħ +ĠEar lier +Ġch ic +Ġpres erving +(ex ec +ĠInvest igation +ĉG PIO +Ġrig orous +ij o += num +Ġtool Strip +) set ++" & +ĠAcc eler +Ġdevelopment al +is posable +Ġflaw ed +re ne +Up dating +Ġwatch dog +Ġden ominator +Ġsubur bs +Ġ... ) +Ġconv ictions +c losure +.I P +Ġtransl ates +.sw t +.Tr ace +Ġmet tre +.is Enabled +ĠEffect ive +.to Int +Ġen chant +Ġst unned +Ġpo i +/ code +ad m +.datab inding +ĠL orem +________________________________ ________________________________ +Ġled ger +Ġcar a +ĠG ir +Ġwa its +Un o +Ġc wd +è¾ ij +ĠT Result +Ġre jo +Ġem itted +ĠWest minster +ä¸Ģ 个 +ne k +_T is +Ġen act +ĉ with +org ia +Ġj ue +Per form +SP ATH +.top ic +ĠD aten +Ạ§ +Ġsit io +_M M +" So +b ial +Ġsc oped +Re quires +ĠT OTAL +ĠCh ancellor +( contents +Ġste alth +dev ices +-p ass +ili h +ĠMal colm +ĠDep ot +Ġconfig ur +a ussian +_con straint +в еÑĤ +G RA +ĠR ates +.dataGridView TextBoxColumn +ĠNob el +it ics +Ġignor ant +ĠReport er +ĠEb ola +ĠSh ock +_re lation +ĠNin ja +) c +Ġt icker +.is Checked +ĠSup pliers +ĠRap id +Level s +âĤ¬ âĦ¢ +ĉ queue +Ġch op +ĠUn ix +re ject +-c alendar +(s ort +è ne +erc icio +Ġh ect +CALL TYPE +rou pon +Ġrent als +auth ors +{ name +ĠF IFO +Ġl assen +ĠN ous +Ġsn apped +Ġfert ility +" log +click ed +Ġplant ing +Ġg b +/ output +PE AT +Ġc ategoria +Ġb ach +Prof essor +in th +"] čĊ +Rec order +ser de +ĠTrans mission +tr ad +Ġtur bo +_VER TEX +\ Event +il ver +Ġbod ily +ĠS ources +Ġkill ings +.xr TableCell +Ġfold ed +/ legal +un er +ĠR ifle +ĠM IDI +_Selected IndexChanged +.Size Type +ĠWeb Socket +Ġsele ccion +S and +ot ros +Ġenv ision +/ etc +ĠMel issa +Sp ot +но е +_ ARM +At tempt +ĠB I +ãģ Ķ +ĠD U +Ġback lash +str ide +/ classes +Ġtext Color +_st aff +ob lin +agent a +.c ollections +ill age +' čĊčĊ +fl atten +_s ales +_M ASTER +T W +_d a +P itch +ph ies +Ġz ombies +ĠV ERY +ĠPharm acy +Ġprogress Bar +Ġhas htag +S idebar +@ stop +(p c +ол ж +MA KE +ĠCor on +Ġkv inner +ĠM aid +b ob +.title Label +Ġsuccess es +ĠDemocr acy +ĠSurg ery +Ġcou gar +Ġcur so +Ġl oro +ist ency +Sen ior +æ k +ĠA AA +ĠBO OK +к о +W STR +Ġ*/ ,Ċ +oy al +.v ector +ĠS PEC +SS F +Ġcomp uls +ĠAppe als +ĠW inston +ĠMock ito +con trib +. available +entity Manager +ari as +_s ale +_r s +Ġdec oding +Ġloc ator +ol ith +Ġk ol +Ġasc ii +ĠR ut +/ interface +ĉĉĉĉĉĉ ĠĠĠ +ĠN umer +.fl ip +-d el +Ġbol ster +on omic +Ġz m +L G +Find By +Ġadapt ive +lo o +Ġv ue +(re verse +_c anvas +. roles +ific ado +ven ient +" As +ĠEn tr +al igned +Ġbere its +/// ĊĊ +.g wt +. employee +_cl i +Ġanticip ate +éĻ IJ +Ġp ik +Ġmush rooms +(t t +Ġo ma +ĠSan chez +_g oogle +. Valid +ĠFile Name +iv ative +k ed +-w ar +Ġm aturity +и д +Ġmin er +Reduc ers +ĠLat Lng +_ST D +D igits +Cal c +-up load +Ġhand ic +ี à¹Ī +egr ated +ĠST M +C lients +ĠTur bo +SY NC +Ġphotograph ers +. Out +.char acter +B UILD +.un lock +Ġar ises +ĠCommand s +(" ");čĊ +_F ORE +; ', ++" ' +. Images +") { +ĠM eyer +Ġneg atively +ĠD LL +Ġex e +Ġdef iciency +Ġwild ly +-s witch +con struction +Ġexception ally +ĠL iz +/j ava +Ġtheir s +ĠCont emporary +l is +.fill Rect +ĠN FC +Ġre he +(num bers +Ġr aster +Ġfig uring +Ġshow c +ĠJ ill +Ġarc ade +ĠConstruct s +md l +(' | +Ġident ifiers +Ġst ellar +( Connection +Ġ" {{ +y or +(m ysqli +Ġdo ve +Of Birth +.dis connect +_h i +Ġzw ischen +ĠGr und +i ros +_A rray +.on click +ans om +An swers +ĉ remove +F a +Ġhur ry +-in f +Ġget Class +ĠReg ulation +ĠFLAG S +m isc +K en +_ heading +G Hz +- entry +Ġbi ography +S ig +-m f +Watch er +âĢľ A +} px +Ġsp icy +_s q +L ost +(tr ack +а ли +Desc ending +< bits +qu ine +ĠAdv oc +_S N +ĠHann ah +PO P +Ġem itter +Ġc yn +ĠC AD +? ). +/ set +ĠS ister +ĠEnd point +Ġmen or +Ġinter p +r k +id le +Ġout fits +. vertex +Ġc lic +ARE N +Ġpost ure +ĠOpport unity +v x +ĠFor bes +.D irection +Ġres ide +Ġremember ing +nest y +Auto resizing +pro viders +ĠA H +Ġhur ting +ĠL ily +eval uate +lij k +p apers +ĠSm ash +ĠL AST +Ġwell s +w asher +_RO LE +ĠD anger +* (( +_re pository +ĠRes olve +ĠRoom s +_R G +ĠQ T +o op +ĠHe ap +Ġslow ing +Ġgrat uite +_c atalog +Ġpol ynomial +L y +pc s +F ox +ĠC yr +Ġdim in +/ month +S alt +Ġh ind +.P ER +For um +c en +_p ol +íĺ ¸ +Ġin ser +( ~ +@ test +ĠGold man +Ġupload ing +F c +Ġkom mer +Ġm itt +_log ged +Ġbu cks +-l ayer +) };Ċ +ĠO M +Ġv eg +col our +Ġоб ÑĬ +Std String +_ que +ĠT ian +Ġspecial ize +и п +Ġк л +tr ial +- edge +Ġm ars +OG LE +Ġempath y +ĠB om +Ġcoll isions +Ġcart e +ĠTe il +ĠM PL +Ġporn ô +Ġa irlines +A ws +N s +ĠSp awn +( use +é» ĺ认 +Ġy acc +st or +Ġconf ess +Ġpe que +r age +? "Ċ +/dat atables +ĠSh ower +__ / +Ġcryst als +Ġbus car +ĠH aus +iz ação +_ entities +ķ Į +ļ Į +x cc +v irt +-che vron +( Result +c ake +COM E +Ġprohib it +ĠCh ess +Ġbe aucoup +ĠÑĩ ÑĤо +R UN +ĠI K +ó ÅĤ +_ Update +Ġsle ek +ĠSpec ify +_c redentials +ÅŁ t +ĠUser Name +ĉ Value +Ġarray List +Ġex changed +ips is +.re lated +ĠSe ite +_B AR +ĠL em +ĠW ATCH +ĠC lients +Ġ. * +ĠEar l +-re port +Ġforeign ers +Ġstrengthen ing +ĉ Description +(g o +.tool bar +Ġcalcul ates +ĉs ource +Ġcz as +Ġre cl +ab o +Ġlocal host +Ġ^ {Ċ +.P op +ĠDes igned +\ Abstract +H old +ĠGuid elines +ipl ine +Ġc aching +.Re ader +_ext ernal +.str ptime +ĠWeek end +-M ar +ĠBe i +Ġ{* } +ĠR ud +Ġexpl or +ĠBou levard +C ash +Ġprep ares +Ġserial ization +ew ater +Ġad c +: ĊĊĊĊĊĊ +Re fer +Ġsc anned +} }ĊĊ +ĠF ul +Ġtour ing +ãĥĥ ãĤ¯ +> (( +sur vey +Ġí ĺ +... ')Ċ +ĠDiv ider +os l +_C ANCEL +_pre pare +st in +ĠHe ath +.Primary Key +ĠâĨ IJ +ĠLocal DateTime +Ġcooper ative +L earning +.en queue +Ġgo og +ĠReg ression +im ates +Ġvoy eur +ĠDr ink +pl ug +Ġl ender +man a +Ġperson nes +yp se +Ġun link +ĠRav ens +Ġhur d +Ġperiod ically +ARG S +ĠG H +char acters +... "ĊĊ +- establish +Ġd n +( condition +ĠGr avity +Ġest as +_f ocus +Creat ure +(s ite +Ġc arr +ĠR L +ĠR I +ĠM oto +AS F +ĠLuck ily +ĉ Route +Ġent ropy +(" ," +Col lect +( contact +ĠFlo rence +Ġpremium s +Ġlif ecycle +Ġb ans +x ef +Web Kit +ĠFlo ating +Ġcos a +Spec ific +ĠLo ans +b read +Ġdes criptors +Ġ{ :. +TH READ +ĠT rent +Ġsc op +Q A +ĠAnt ar +p el +_d ifference +_ch anges +(... ) +ĠR otation +ĠLG PL +ĠJ UST +(T ask +_sub set +ĠTR ANS +åĬ Ľ +ĠSc out +-p opup +Ġsm oked +_C lass +Ġturn over +br akk +ĠRock y +t as +.Regular Expressions +ĠElli ott +ĠSp inner +DU CTION +Ġlib re +Ġmol to +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ +ĠF TP +m peg +(f eatures +Ġb ald +ĠV id +Ġsh outing +L int +Ġsock ets +Ġpro w +Ġnouvel le +isc ard +ĠS ponsor +Ġconsult a +)) ); +Ind ian +ĠR aspberry +Ġteam mate +ĠJ WT +ĠGh ana +Ġc akes +pr imer +form a +erg arten +_M anager +Ġpre season +G AME +| " +ĠBro ck +Ġoccup y +Ġdecor ations +á nd +Ġc ot +Ġpar an +D isk +rem ain +> ? +Str ong +Ġfr ance +ĠE ra +-c r +.Buffer edReader +ĠParad ise +ĠV AT +ĠAnd ers +Ġlim b +amp oo +Ġimper ative +UT ILITY +ĠRec ognition +Ġragaz ze +Ġpop s +yp ress +Ġemb argo +// {Ċ +Ġsy ll +P TR +åŃĺ åľ¨ +Ġdid nt +Mail er +Ġacad emics +ĠFra uen +ne ider +- rel +Ġrain bow +( In +Ġslic ed +============ =Ċ +(s end +NSMutable Dictionary +v os +(p ackage +Ġord inance +view er +ĠSant os +-s elling +Ġgo v +ett le +Ġfound ers +Ġw aking +sl ashes +-p ound +re cht +ا ت +.on Click +Ġn ord +st änd +_ when +UT ERS +ic c +Ġcaps ule +ĠW id +M arc +ภ¸ +ro red +UG E +LO UD +ĠAud it +ip ients +op ian +ĠS ue +Ġwur den +.H elpers +Ġf actions +[ np +-th an +Ġre co +Ġk as +Ġcmd s +/n etwork +xb f +get Color +Ġbi ased +ĠL ak +D atas +vent s +Ġë ² +_P S +. Validate +Inv oker +Ġne uen +Ġju venile +V ISION +Ġdev ote +Ġlin ha +Ġdiscount ed +\ Config +Ġworth while +Ġskin ny +ĠC ourses +le ys +ĠMort gage +K evin +Ġannounc es +]) * +res ervation +Ġæķ ° +Ġprejud ice +ĠString Comparison +Ġbe ard +-w in +ĠS ão +ĉ ms +j al +ĠE arn +_ ports +ĠN ombre +_C OR +ĠB UILD +.s ound +Y ellow +Ġlineback er +Ġchar itable +j ug +_NON NULL +ĠD ental +"> ${ +ĉm atch +R ussian +Ġvers ch +Ġp inned +Ġadopt ing +Options Menu +P ag +Ġpair ing +Ġt read +erc ises +ĠSp read +) i +ĠB AD +_t f +UI ImageView +pop ulate +b ab +ĠÏ ĥ +[ ++ +Ġopi oid +Ġ## Ċ +d type +ĠStart s +('/ ') +Ġperson als +-mark et +Ġredund ant +ĠEss ential +Ġscrap y +Ġи м +a cl +Ġcre ar +ĠB end +Ġrel ieve +- room +w ife +Ġv Ãł +ĠQ Point +Ġqu asi +Ġmethod Name +\x c +ĠPer u +/ The +. orm +Ġv iz +/p df +Loc ated +Ġconfront ation +ĠChampionship s +Ġhyp ert +Ġd j +ĠUser Info +ĠåĪ Ľå»º +\x b +(s im +Ġ== Ċ +Ġst aging +Ġdr astically +åŃ ¦ +l ords +. less +вед иÑĤе +ĠB ucket +ĠM am +. term +_p i +c zy +.p ub +prec io +ĠV irt +Ġrom an +it at +L ex +_inf os +Ä ° +. other +VE LO +Ġp onder +Ġh anno +( Page +do i +Ġpol ite +Ġprogram mer +D ies +$ d +Ġrep lication +add Column +fr ican +Ġl eng +be er +o it +Ġw asting +yl im +me asure +N eg +Ġpart ie +.con sole +ĠGu inea +TE L +_f act +.ch unk +Ġl ent +Ġall er +Ġठķ +_id le +Ġad missions +JSON Array +Ġv ibration +.h elpers +å¤ ĸ +Ġh en +j ohn +Ġì ĥĿ +Ġjud gement +Ġge en +ter ra +^ { +ĠI z +Ġc â +inst ances +Ġthreat ens +Ġm üssen +Kind OfClass +Ġstoryt elling +_d emo +ri as +Priv acy +h ift +ĠY i +es or +íķ ł +ens itivity +.W riter +ภĤ +D istrict +.get JSONObject +Im pro +(get Resources +ĠS PELL +rodu ce +Ġslow ed +Ġlin ewidth +Ġhonest y +ĠCo ord +ĠF ork +ĠDispatch Queue +ĠCl iff +ĠW iring +_TIM ESTAMP +oll ah +av oid +++ ];Ċ +sem antic +-c ss +Ġv eto +ĠM err +Ġlegisl ators +CEE DED +Ġquestion naire +ĠP ills +Cal culate +(c ore +' e +Ġdis like +ĠPre ferences +_EX TERNAL +è° ĥ +Ġd odge +æľį åĬ¡ +.n ames +.draw Image +_p rom +uck land +Ġ<$ > +ı z +/s ite +é¡ ¹ +rop he +Ġcomp elled +Ġl aptops +Ġun i +C LOSE +Ġcasual ties +ĠUn iform +Term inal +. "," +D AT +(T reeNode +ĠGand hi +(st mt +AX B +* M +Ġumb rella +an imal +Ġgr pc +Ġwhere by +Ġfloat s +ĉ arg +Ġdb g +Ġexceed ing +Event Type +.SaveChanges Async +Ġ{ {{ +Ġow ed +ahren heit +Ġì § +Ġequ ipo +ur ai +Ġid ol +] ")Ċ +_m ajor +Ġentire ty +inger print +ç os +/ account +ĉ right +urs os +ĠE DT +_INS ERT +Ġsh ining +Ġ< : +Edge Insets +Ġcolon ies +. IM +ĉĠ ĉ +RO AD +CC CC +pl acing +Ġget Activity +em acs +' %( +.click ed +ĠTh em +is ia +Bus car +.re name +Ġo ath +Ġafter ward +ĠU FO +AP S +ĠJackson ville +.s ome +Conf irmed +.s can +ig Integer +Decor ator +sh ield +ress ive +.d id +请 è¾ĵåħ¥ +Ġsh utter +D am +Ġparent ing +ey ed +$ item +-de velop +Ġextract s +Ġdecentral ized +ĠEl sa +_sp in +]) + +-in itial +Ġmult itude +Ġsens ory +ĠMODE L +Ġsafeg uard +ì ¹ +Ġhunt ers +ĠT iny +IN O +decor ate +ĠNo Such +H o +( Response +Ġr uler +ĉ short +Ġc aster +Ġclient Id +Ġp db +ëı Ħ +it ic +ĠGame State +Ġnew Item +)ĊĊ ĊĊĊĊ +ou is +n oc +.BL ACK +_V ECTOR +---------- (); +.get P +any e +Ġneur on +if old +ĠK nown +Bit coin +Any way +ay ette +Ġ' [' +Ãł nh +m gr +Ġcor related +Ġn ause +Ġment ality +has Many +ĠF G +amp ie +IT U +F s +.S p +_b etween +Dep endencies +ou g +Place holder += text +ĠMan aging +ocal ypse +åĮ Ĺ +_m ag +f ld +â ij +C AM +ĠHelp ers +Ġd ost +/ out +Ġassass ination +.get Image +ĠKenn y +.' )ĊĊ +){ // +ĠR anger +Ġg ek +Ġsinc ere +< Value +ĠD OT +ĠVict ory +Ġleg ends +Ġpr isons +(ex pression +ĠR abbit +_s entence +Ġbit es +Ġon Failure +ĠâĪ Ī +K im +.g ender +ĠÎ » +Ġ[ . +"] ); +land ing +-d igit +TE MP +ĉ entry +Ġstrt ok +Ġdesc endants +um no +Ġlean ing +Ġspecific s +q n +ĠSp art +Ġpor r +EDIATE K +Ġse per +' aut +ĠSTE P +ĠBorder Layout +Ġret ros +ĠSalv ador +ĠEN GINE +x dc +T weet +v k +Ġì ² +] << +het ics +c oding +Re ach +.re q +gu ide +.s cope +sh irt +rog ate +SET TING +ĠProte in +Ġe ing +. EMPTY +.d f +Ġclear er +Ġc rossover +ĠTo ys +Ġco ated +.M onth +ĠAtt ach +/ run +.t abs +Ġogs Ã¥ +B rown +.D ATE +Ġf os +åŃŠ符 +W ood +-th ree +her ited +Ġ rop +( ac +Ġembod iment +ĠKenn eth +Ġcan non +Ġb idding +čĊ +.get Resources +Ġl ump +_const s +( ext +ĉd ir +â Ŀ +Ġpadding Top +Ġobs ession +Ġb anning +ĠApp Module +Ġpart isan +Ġcatalog ue +Ġmin ors +Ġpitch es +we ep +Ġundert ake +Ġthem ed +aud it +.scroll Top +Ġr er +Ġsympt om +Ġopen ings +.block s +open id +Ġas sh +-s ave +ĠP ig +Ġreg ain +Ġin icial +/f avicon +ĉ exp +Ġsp ices +isk a +claim s +m ak +definition s +Ġcorrespond ent +ĠCann abis +__ ,Ċ +ĠL ucky +ĠGa ussian +ĠN early +C AD +'] ]Ċ +Ġadequ ately +ĠT ITLE +constitution al +-m m +_ override +Ġbl as +.ready State +Ġremin is +Ġrein forced +ĠColl abor +Ġdecor ating +Ġb achelor +ERRU PT +Ġup right +ip ation +ĠNob le +Ġvalue ForKey +Ġset Loading +.I gnore +å ģ +G lobals +ĠM ent +AS SES +Ġlim bs +ĠH UD +inc i +. iv +ĠQ ModelIndex +F use +Ġped al +_F REQ +( verbose +Ġlong itud +ĠChar ter +ê ·¸ +Ġbund les +. ignore +um bo +EM A +.... ... +s x +.C ard +Ġhe ute +Ġste er +j umlah +Ġ{ _ +_Check ed +Ġf ax +ĠG ust +itch ens +Ġ ))ĊĊ +Ġremark ably +/ XML +- remove +_b t +Ġinc ub +.p ackage +.current Thread +ĠHigh lander +.s ide +s plash +Ġ ici += D +Ġp uck +Ġball ots +Ġhug ely +co eff +Ġp Data +.C OLUMN +ĠHe aling +Ġord in +! ), +Ġ' ',čĊ +(m d +ĠS ask +< strong +Ġsurviv or +.s eries +Ġcaffe ine +Ġ` ( +.TRA ILING +_ Input +(" ^ +z d +& );Ċ +ĠP ing +Ġv oucher +.r ating +-sh irts +ĠRetrie ves +.al ibaba +Or acle +_MO V +Old Data +Ġ/* čĊ +Ġg boolean +Ġ=> čĊ +Ġr á +Ġbl unt +ĠImage Icon +if ik +RT C +Ġfib ers +Ġto ile +.s ent +ĠPy Qt +$ app +Ġmed io +Ġgrant ing +Ġtsl int +ĠM ö +(fig size +Ġhur ricane +Ġlif es +Ġà Ħ +rocess ing +_st andard +- option +')) ) +Ġvac ant +å· ¥ +ĠH ollow +handle Change +Ġdiv ider +ĠEngine ers +Ġsv ens +Ġcompl iant +t anggal +ĠC redits +ĠEm irates +Rule Context +Ġreal ization +Ġdistr acted +]+ = +Ġaug ment +ĠD w +ot p +or rent +Edit ar +.st ock +St udy +pe ctions +ĠGame Manager += cut +Ġf lock +ĠRom ans +th em +-h op +Ġscreens hots +Ġ/* !Ċ +Ġconvers ions +Ġnormal ization +(config uration +Ġa eros +_se curity +! 'Ċ +B onus +ĠDR IVER +ĉ Date +t ie +ĠWy oming +St and +it re +Ġsh oppers +Ġdisadv antage +Ġlik ing +ç¬ ij +Ġunderstand able +SE E +Ġh oy +Ġnin ete +Ġcon fer +Ġnow rap +ĠV ern +, čĊčĊ +imest ep +Layout Manager +à · +ĉw ait +PLE TED +J apan +Ġindu ce +Ġå ¯ +оз в +_END POINT +.h orizontal +Ġacceler ated +rim on +IV ES +Trans actions +Le an +ĠSO UR +wh ether +y g +Ġo id +ĠEntity Manager +OUN TRY +Ġfil a +OLUM NS +IN UE +ĠAn chor +TR AN +wo o +block quote +ĠN urse +ĠCar p +Ġrede em +. try +ĠJ P +Ġtimestamp s +Ġ?> ">< +ĠREM OVE +ĠStar bucks +Re ally +Ġflood ed +.C allback +Drop Down +ip ro +Ġt ended +l te +Ġproport ions +- te +ĠR ena +lic ate +for ces +.ex tra +.auth enticate +в од +¡ ° +Ġfor ControlEvents +Ġsen ha +Ġke in +Ġmin ist +ĠPre ference +ĠTele graph +Ñĥ п +str pos +Ġillness es +Ġp igs +Ġget Intent +S ol +Ġ ¡ +(c pu +[ prop +s creens +'); ?> +ĠAct s +Ġstr dup +Ġaver ages +an al +ĠCas ual +Group Box +ĠHand book +/ comments +Ġnumber ed +Ġbroadcast ing +çĽ ij +.native Element +.m u +Ġupdated At +ĠDoes n +.A C +.c oll +Ġrec order +_sh a +B g +b il +Ġbol ts +Ġç ¬ +Ġim posing +ĠInformation en +_flash data +e conomic +Rem ark +uc as +ĠOff icers +ĠT ER +W alk +Ġmerc ado +_g enerate +H Y +Call ing +s nap +script Id +. operation +ĠFl ame +l iness +Ġrent ed +_t oggle +-ch anging +ĠT Y +' util +EE P +Ġgraph ql +ĠUn i +Ġimp ulse +.B asic +Ġenerg ies +M ARY +ĠMar cel +Ġmort al +Ġf res +m ens +m otion +Ġsample d +âĢľ That +id ay +qu ipment +get Int +ĠA bsolute +,' " +un ed +.sh are +Ġ} )( +mm m +ĠR ising +ä» » +Ġun employed +x fa +.f ollow +ĉĉĉĉ ĠĠĠĠĠĠ +sl t +.P hone +Ġkn ives +Ġe ve +on Click +] ))čĊ +ĠW itness +ĉ NS +ĠE OS +ĠSte fan +ĠPri est +âĢĶ which +Get String +. By +Ġup stairs +Ġdetr iment +bro ken +emb ro +Ġnic otine +il ion +Ġaston ishing +_ aff +ĠLess on +Ġaccident al +od or +Ġdec ir +Ġnew Name ++ . +çĽ ¸ +igs list +ĠG ithub +Ġsuccess ive +rac ial +Ġen viron +éªĮ è¯ģ +Ġredirect ed +T OTAL +Ġgrab bing +ĠL ance +Ġfor fe +_C B +å¾ ® +El apsed +_w ay +(Dialog Interface +_me asure +x bb +D og +Dep art +-s rc +res olver +with standing +_sh ell +ĠLast Name +ĠAv iation +Ġbegin ner +("% . +(to ol +Ġн ов +: init +(A PI +ĠMorr ison +vt Color +Ġstap le +/ INFO +Ġsupern atural +Ġste ak +tim eline +zz le +" `ĊĊ +Second ary +ĠNep al +.String Utils +Ġad am +Ġ( ... +Ġsub stitution +Ġboard ing +ĠKey word +ĠAss ault +dbc Template +Ġorder Id +( engine +.assert That +ĠVen us +Ġhomic ide +ĠA val +Ġg utter +ĠSupport ed +/p art +Ġac claimed +H istor +Ġmes es +ü ber +ĠRen ew +Ġgr as +ĠE k +Ġin file +ind y +.m usic +.S croll +ĠA ges +ĠNar uto +ĠG ather +Ġconfirm ing += (" +Ġpitch ed +ole y +Fr ance ++' " +$ total +Ġon de +Ġd itch +_s igma +Ġcontinu ity +re ward +- load +Ġproces o +Lock ed +st aw +Ġsp inal +l azy +! == +j est +Ġd un +ĠRod gers +ĉ grid +Ġlog os +ĠBeng al +.s uper +Provid es +Ġnut rient +.T imestamp +IZ ATION +åĨ Į +Ġf ats +ĠX xx +ct ica +Target s +Ġcont ours +Ġre ordered +: Array +Ġtoler ate +V ir +Ġter ribly +Ġbr icks +(& _ +h b +Port al +ĠB read +. which +ÂŃ t +as InstanceOf +Ġj object +ĉ length +_M T +; ">čĊ +_EX IST +Ġmat ernal +RE L +Ġê²½ ìļ° +he e +Ġlayout s +ĠL ap +ais y +Ġst umbled +ĠU IG +ĠS co +Ġimp aired +RES SED +Ġab uses +V F +AR B +.N AME +r ch +prim ir +_com pleted +Ġp enny +Ch rome +(b egin +ern en +- checkbox +Plain OldData +ĠL PC +r ade +sp ir +Ġcon ceived +T ips +ĠIo T +ĠG an +èģ Ķ +Ġbi ases +Ġconsult ants +ple d +_ ht +associ ated +], ĊĊ +Ġdelight ful +ĠÑĤ ек +Hel vetica +( load +-exp and +_W IDGET +to a +ĠA kt +Ġom n +Ġcl auses +Int el +*/ }Ċ +_reg istration +Ġold Value +Ġrest oring +Ġun real +O VER +ĉĊĉĊ ĉĊ +AT S +_pro be +Ġdiv isor +.update Dynamic +å¹ ³ +Produ ces +st amp +.j boss +ĉt ask +! (: +Ġpsych ic +@ class +M artin +ĠPass ed +clar ations +h el +а Ñĩ +ĉc opy +-b in +z an +ig ram +া ঠ+(s ig +ĠC aval +_ ## +Ġ% = +out lined +ĠAc id +Ġunpredict able +-d ashboard +Hex String ++ c +.P ublic +Ạ© +Ġconvey or +ĠE B +Ġselect s +Ġknock ing +ĠC ec +IBUT ES +owa Äĩ +g atsby +* v +ent ropy +Ġdispatch ed +Ġcam el +ĠSat urn +Ġover weight +( phone +par able +% B +_v ectors +Ġbrew ing +ĠT k +ĠDownload s +ĠS aved +.Pr ice +Ġcur ved +ĠParen thood +è ¶ +.p nl +plet ely +.D ay +Ġadvertis ers +Ġej ec +Ġpr zed +ë ¯ +! ';Ċ +ĠK ush +ĠT AB +Ġquest s +Ġcoinc idence +umm ies +ĠKash mir +ĠEth ics +_g rowth +Ġakt iv +Ġgroup ing +å¢ ŀ +_tr uth +åIJ ¬ +t odos +is et +Tex Coord +ä tt +ĠZ ur +ro ys +_M AGIC +Ġbrew ery +( State +ĠSM ALL +ĠPl ants +it bart +each er +ĠAd elaide +L u +Ġf ick +und les +_load ed +и е +P oll +rit ic +EL Y +Ġ+ ' +ĠProf ession +Ġst amps +ĠS ew +scroll View +Ġcomm unist +/pro blems +}čĊčĊ čĊčĊ +, o +Ġu dp +Ġob ese +appro ve +ancell ation +_G ame +ĠHas htable +adaptive Styles +Ġpossess es +.match er +function al +M rs +ĉs ave +ĠDb Type +Ġk en +get Context +Ġm ans +( rel +ĠBrother hood +) `Ċ +è§ £ +.In formation +OutOfRange Exception +ĠS ek +C as +Ġblog gers +E ither +(" "" +Ġpin ch +Ġco arse +) p +ĠP ulse +Ġlear nt +Ġdent ist +Ġon change +Ġdirect ives +( actions +ny der +ĠSh ir +T rait +_de p +ĠP ET +ĠRE P +.App Settings +cu ador +iden av +Ġenv i +Ġsl ammed +ĠSh oot +Ġdate Format +.j oda +ve ys +Ġ) .ĊĊ +Ġcare g +ĠPar allel +_ translation +.function s +. obs +Runtime Exception +[] = +over view +ĠSch l +Ġno isy +ĠOn PropertyChanged +S ending +Ġunf amiliar +U pon +ĠPrint s +.t yp +Ġflee ing +ĉm ove +( Un +Ġq r +× ľ +_b eta +Ġsk ies +ĉm e +W ND +Ġstick ers +bl as +Ġinsert s +Ġvers es +ĠD ew +Ġtang ible +Ġhe cho +P OL +Ġte ardown +om nia +IB E +.c over +_str ategy +^ - +set Position +u ale +S igned +Ġif ace +as eline +.set Time +ĠMin eral +ĠFight ing +sk ins +Ġdiscrim in +Ġdans k +ĠPr inceton +ac ist +Ġ( ));Ċ +tr acks +imon ial +ad ecimal +EP ROM +ugg le +.Not ification +$ mail +c antidad +ĠJ ung +Ġseek ers +Ġpl ausible +t ier +еР¶ +Ġr apper +ĠMan a +ĠHttp StatusCode +Ġburn t +los es +ĠF oto +ĠJson Object +Inst agram +Ġsys call +Ġreal ities +ĠMAT LAB +:^ {Ċ +TER M +ĠC bd +ĠPar agraph +Ġtrav és +Ġconstruct ing +Ġsw al +Ġp ige +LL LL +-ex isting +G ets +Ġmelt ed +Ġmitig ate +H en +Ġh m +im as +ĠA o +ĠP erez +ĠD AL +Ġëĭ ¤ +Ġdiv is +Storyboard Segue +ĠMod ify +ĠÃľ ber +_O VERRIDE +.p em +unt os +Ġespa ñ +Ġ{ ? +ĠP AY +_ip v +ĠF ury +__ .__ +el ow +-center ed +check s +_ Reg +-J avadoc +ĉ load +ĠLik ewise +ا Ùħ +UN E +.se m +x cb +ĠC ave +_s leep +Ġsil ently +ĠExt reme +.To Upper +ĉC HECK +Ġc ue +ĠQ ByteArray +Ġcorrupt ed +ĠD é +Ġimp ed +Get Name +Ġinaccur ate +Ġso ber +е е +Ġbar code +-- ){Ċ +ink i +Ġé p +Ġd ri +ĠAL T +>>>> >>>> +ont a +[ L +Ġinter es +ver ting +Ġdi agnostics +p dev +è © +ĠIntegr ated +). ' +_g c +$ text +.g ames +ĠT erra +' Re +.trans fer +_F IFO +get Model +Ġbl and +ĠCole man +Ġpr imes +Ġæ Ī +Ġcross es +n k +G ING +Ġ' ^ +ĠB lob +Ġinter course +ĠBl vd +Ġweigh s +_reg ular +ĠPer th +Ġsepar ating +Ġb illed +.tab Control +Ġpup pet +Ġutil ization +Ġâĸ ł +Ġsucc es +Ġl amps +_pro j +E ric +Ġren ovation +ĠFam ilies +ĠB its +part ials +-M en +s olution +Ġd warf +.IN TEGER +ĠLO CK +. ct +Ġexcer pt +ĠP ix +ĠFirst Name +ANT ED +ĠAd mir +-h elp +P rior +ĠAl ign +.IN STANCE +Line Edit +('/ : +Ġin et +od us +.p kl +ĠK Y +up ert +Ġn erves +_grad ient +} ',' +_un ref +Ġs aturated +ĠConn ected +ĠF N +EX IT +Ġtele port +Ġav ait +Page Route +Ġdivor ced +(l ang +f st +ĠT yr +Ġmess enger +if stream +X S +ĠBank ing +Ġinfect ious +ĠM ons +_LO OP +Ġzur ück +Ġobt ener +/re pos +V el +ac ro +Ġuser Repository +style Type +ĠS RC +VML INUX +rec ursive +/ bar +_ch ip +omin ated +ĠN it +âĢĶ to +ĠBudd h +ом еÑĢ +ĠM AG +ĠC HE +_d en +. raises +_de gree +Ġpump kin +_tem plates +_M EDIA +ĠTim eline +Ġb ots +Object Type +Ġbu ys +.post s +C AL +wait ing +ĠDani els +Ġd abei +ĠS igma +il or +ig el +, W +AD S +( panel +ì² ´ +it ating +.p alette +Ġmos quito +Ġt ego +(parse Int +Ġdes pués +p romise +Ġw ij +types cript +ĠT v +_IDENT IFIER +).ĊĊ Ċ +_fl at +its u +US R +ex perience +-f it +ph inx +_th resh +Ġide ally +ĠFre eman +, DB +_r w +çŃ ī +U b +_stat istics +=" ">< +Ġch ore +Ġy ork +inst alled +Add itionally +Ġp stmt +yl ko +:: Ċ +Fore st +Ġhead set +Ġgall on +ÑĢ ем +Ġwithdraw n +ĠC andidate +Ġmel ting +Ġfree zer +Ġh l +_HE LP +m ime +( /* +Ġth irst +$ return +member of +еР± +ĠHttp ServletRequest +( ob +_ Result +Ġassert ed +Ġfulfill ing +Ġstret ches +par ated +-f unded +Ġå Ľ +ing les +_c a +. condition +ĠDis plays +Ġor ang +ĠC RE +Ġgl Bind +ĠSelect or +/ type +ĠAlex a +ched ules +ĠPen insula +Ġpar ity +ĉ dest +ĠDo ors +čĊ ĉčĊ +_dim ension +Ġa load +.St oredProcedure +(p aren +ĠBur ke +') ]Ċ +- engine +Ġqu ir +ĠHy brid +ĠDo e +Ġout lines +ĠTrend s +_N V +per iments +ĠH in +? ', +ĉ Text +F UL +Ġsm ells +Ġs lick +Ġmis erable +ĠArray Adapter +Ġparam String +H om +_l iterals +us uarios +Ġprompt ing +_l azy +ĠActiv ation +_ oc +We ak +Ġan ecd +ĠU CLA += re +isse ment +ĠEsc orts +Ex cellent +ĠP ause +Ġre positories +T OR +ari ate +_is o +up dates +hal b +udi ante +ë¡ Ŀ +Ġna ive +ĠP eg +ĠL ounge +ARG IN +(b in +On ClickListener +ĠFA ILED +Ġl ite +Ġd zie +ĠL iteral +iv or +fc ntl +Ġe ats +Ġq ed +Un lock +rid ing +und ai += M +AT TER +Configure Await +ici as +ustom ed +Ġsuccess ion +end Time +ĠJ upiter +Ġjud ging +d ration +_d ocs +.m o +Ġeduc ators +ĠV ine +Con d +[ out +q b +\ Validator +Ġmean ings +Ġpresent ly +Ġdiv iding +otten ham +asc ular +Ġtrail ers +ĠC LOSE +ам и +âĢĻ ai +ĠG ain +w or +Ġpl anner +Ġdistrib uting +v at +month s +x label +H F +V iol +.BASE LINE +еÑĤ ÑģÑı +ĠR otate +Ġtx n +: bold +Ġb loss +Forg ery +( embed +Ġjak o +s printf +the ir +Ġexhib its +- static +he cy +get ActiveSheet +.c lients +ãģ į +_h ide +[ word +C b +add Item +ax e +_r adio +al ion +mod ifier +Ġsat uration +Ġden om +_p ixels +m ess +(f l +at if +Ġse cs +Ġpro stitution +Ġgrand children +Ġparad ise +ĠF eld +_B INARY +it ous +๠Ħ +Ġflash ing +-s ided +Ġcontrad iction +/* ĊĊ +y label +ĠT et +Ġadm ire +res o +Ġlet z +ĠSE ARCH +sl ots +ĠRew ards +ĠH og +ĠNS Data +st ash +F all +ĠA mer +Line arLayout +/ photos +Ġfe ather +Ġ| čĊ +Download s +.Start sWith +Ġ// # +ine Transform +Ġaff id +V tbl +ĠRog ue +scri bed +Ġfa uc +ĠMon roe +Ġdecl ares +mod ern +re on +ay be +P ASS +f ers +_MULT I +ĠMath ematics +Ġsud ah +_ATT ACH +Ġnumber With +ĠSol omon +j in +ograf ia +ö l +_d esign +cul ated +ĠL una +ies z +Ġ=> ' +Ġrevel ations +Al ong +( ed +ĠF ilename +Ġy label +Sec ure +Ġbus ca +agn osis +_RE CE +Ġoverl apping +Ext ent +Ġanticip ation +Check s +ĠALS O +or c +iling ual +it ational +Ġadv ancement +ou ro +ĠP redicate +å¾ Ĺ +er ia +ĠPier ce +or io +Ġmer its +Ġpe anut +.P ackage +ĠCon duct +_SENS OR +Ġbo iling +Ġin tra +ĠI GN +ĠF ur +.Ref resh +ĠRe ach +_dec oder +.Ex p +ĠÑĤ ак +p ill +, Q +ĠGr ill +Ġpop ping +.A g +Ġpro yecto +Ġmile age +Ġec ological +] ]);Ċ +ĠÂ Ń +sub plot +ac ad +ĠTry ing +rec ipes +$ criteria +ĠPers ian +-b ound +M ASK +ĠG esture +Ġk k +ĠP VC +Ġprohib ition +Ġcom ando +ĠLO OK +Sh opping +Ġdist ortion +< Boolean +.Get Length +um pt +\ Product +ell ery +Ġfire wall +form atted +.red is +Ġes a +ĠRh ode +S om +.n on +Ġ' ). +Ġget View +ạ n +pr us +Mat thew +Ġs ia +ĠF ors +G PU +ient ras +_IN ST +Ġol arak +Ġimport ing +T CP +/ ");Ċ +e ither +Ġfresh ly +c ascade +(char acter +ĠJe ep +ot ics +_ UTIL +.Xtra Printing +.first Child +ĠEx cell +Ġd vd +Ġt aller +Ġr as +yp ass +Ġassign s +Ġgri ev +-m ore +J D +ĠBurn s +' >čĊ +.D ependency +.Query String +.O wner +Ġexp iry +Th u +( Vec +Ġhazard ous +Ġr pm +AP ON +Ġadd Target +sv ille +p Net +ĠIm g +ĠTIM ER +.An imation +Ġbe k +Ġass ort +Ġle bih +Ġbody Parser +Ġvibr ating +ID L +Ġbutter knife +int ers +Ġpersu ade +ĠLGBT Q +è ĭ +.s oft +Ġbe ams +_s ur +.D ef +Ġl abs +ĉ plt +Ġsk ins +Ġtransf erring +Ġimag inary +_E nd +; background +Ġl aps +_COM MENT +(S DL +ond s +.Rec ord +ĠIm plements +_t icks +() ))ĊĊ +Ġa rose +] ? +ĠM p +ĠI Command +Ġsculpt ure +Ġcontract ed +< HTML +Ġcal end +at y +/ Sub +Ġkv inn +_ IGNORE +ĠSh ane +ML S +Ġstim ulate +Part ition +Ġm un +ó m +eral a +- account +.B inary +c é +Ġse ize +connection s +ĠĊ ĠĠĠĠĠĠĠĠĊ +ĠDi agnostic +V ISIBLE +ĠRun s +Ġimpress ions +s uite +ob le +~ - +ak ukan +< Person +ĠN os +ĠG ui +.wait For +RE SET +Ġpost pon +Dis cover +arr ison +sh aw +b lood +AJ OR +æĽ´ æĸ° +ĠM use +æĶ ¶ +Ġret aining +ot te +Ġmos que +ĠS ne +Ġstandard ized +Ġmain land +_th ree +unge ons +get Doctrine +Ġwh ale +Ġag g +ĠP orsche +now led +lat ent +ĠRel ation +Ġ// ' +Ġshut ting +ĠRem ix +_c ov +Ġs ailing +Ġv owed +Ġp ots +out u +Ġhair y +cast s +Rel oad +Ġre connect +ter a +.child Nodes +ĠR ack +Ġcurrent Index +Ġall en +Ġ çĶ¨æĪ· +ĠC ubs +[ X +_SE Q +_RE MOVE +.get Action +(/ ^ +err ar +Ġ ether +cur ve +Ġsl ap +Ġu om +O thers +Ġen gr +Dis position +Ġst aged +E ye +ĠA ux +auth enticate +Ġ$ ? +ĠAndre as +Ġset w +.A rt +Ġforecast s +Ġa unt +-m iddle +Ġmis d +des k +Ġescort e +ĠCas a +rop ical +Ġexem ple +plan et +(U INT +Ġwh ip +ĠPC B +clide an +=" \ +Ġox ide +Ġsucceed s +der ived +ĠEcon om +_co ordinates +ir as +D raft +Ġvisual ize +B rian +_ASS UME +ĠObject Id +Ġtrain ers +_FOR CE +Ġcon soles +- process +lic her +ĠSim mons +T aking +ĠCl aims +Ġdiffé rent +Activity Result +Ġsn s +éĢī æĭ +ĠCr us +Ġll am +r ab +ĠJo an +AA A +ĉf ilter +ish ops +get ting +à µ +Ġquant o +P ast +ov ich +Ġin justice +ĠF LOAT +Ġal right +\ DB +( GameObject +u ish +(b ot +Ġgall ons +ĠR é +ĠS aid +ĠSTDMETHOD CALLTYPE +ais ing +_process or +ell idos +ter dam +ĠBe am +Text Area +Ġret orno +.M ake +Ġ$ ("< +Ġlock down +Ġremed ies +Ġve el +x ee +do ctype +F il +ĠExp and +Ġemp loys +Ġsession Storage +Ph p +P ublish +Ġret al +f abs +ynam ics +Ġtoss ed +ĠnumberOfRows InSection +x path +\ modules +Ġdis astr +ĠM ULT +.M esh +-st age +Ġs df +it ung +ug es +Ġ?> ">' +kin son +Ġк ол +ogn itive +_ li +Ġim minent +Ġaff inity +.sign al +Ġnot ch +ĠSteel ers +max length +K K +ĠEug ene +_P WM +ro i +Ġâ Ĺı +ĠH amburg +.M ust +Ġax e +en ef +Ġamb itions +ĠSpec ies +ĠSt ress +Ġa while +Ġб Ñĥд +Ġwith stand +ĠDec oder +_in ventory +Ġ{ ččĊ +Ġt gt +Ġrail road +W ASHINGTON +Ġnegot iated +N ST +- phone +, U +Ġexerc ising +á» ¥ +_P IXEL +av ors +iter ated +Ġv ampire +ad al +In grese +Ġun g +ject ive +.c ells +Ġn ano +Ġmark down +_R ULE +(event s +Ġl uggage +MESS AGE +ig keit +$ count +Attribute Name +IG INAL +_E nt +ĠB F +ĠCOM MENT +_in i +ĠEurope ans +ĠB elle +åij ½ +) [' +åº Ķ +ĠUse ful +.re ference +() ", +_ grade +ĠK aw +Ġsent encing +Ġsocial ism +mon ster +_L AYER +Ġdee pest +w k +ĠNo ise +### ĊĊ +Ġpr éc +ot le +ÑĤ е +a uf +ib al +Ġcon quer +> Email +Ġamb ulance +O AD +Ġ(" % +ĠF I +.f ixture +Ġter se +ĠĠĠĠ ĉĉĉĉ +Ġsanct uary +ug i +ĠCom parator +Definition s +Ġast hma +Ġl act +Ġhard wood +.c lock +Ġattract ing +ĠM our +(d istance +ic its +Ġbon ne +ĠAC CESS +.Deserialize Object +ĠTyp ed +Ġje u +Ġapp Id +ĠCl ara +ĠH F +ĠRe ich +ipp les +//---------------------------------------------------------------- ---------------- +_del ivery +erial ization +Ġplaint iffs +Sc ient +sh opping +ĠD ummy +ĠW ald +Group Name +Ġins cription +el og +:::: :::: +_ ld +Back Pressed +.R aw +ĠOn Trigger +Ġmuse ums +ĠBe en +ĠAdvent ures +Ġsl ate +Ġlet t +Ġsu nd +ĠG in +ĠMechan ical +.s hip +App Component +Ġdest ined +Ġdw elling +Prof iler +Pre pare +ze ich +Ġsil icon +(h as +Ġ# % +VID EO +Ġcollabor ate +L in +Ġsc opes +( className +(s d +and in +.h am +Service Impl +-des cribed +Ġiron y +st ial +ĠHu awei +(re po +Ġunexpected ly +ĠK ai +.inst all +\x f +Ġexhib ited +_T CP +ĠO x +_CH O +Ġprostitu erte +Ġv ä +Ġsit o +Ġconstitu ents +ĠContin ued +ĠS AVE +r ss +/ message +ub es +Ġmisd emean +Ġtax ation +Ġstory line +h air +ĠFind s +S IG +ver ification +~ = +.h p +Iter able +Ñĭ е +ator i +Ġc tr +R x +_ );ĊĊ +d ag +.p in +Ġp seud +Ġinv o +ÑģÑĤ ÑĢ +_p ix +为 空 +Ġsw orn +âĢĶ or +_reg istry +Ġdis asters +ĠRO I +ĠâĢ ķ +akt u +fore st +be iten +âĢĶ I +ue va +eg t +Ġsp ikes +URE S +ĠRecomm ended +Ġexplo ited +ĠFreder ick +_COMP LETE +ĠDr ugs +!!!! !!!! +ĠR iv +ST OP +RO OM +ĠP ASSWORD +C ookies +.E l +á» Ń +ĠB ert +Ġhash ed +ic ester +Ġdecor ator +Ġquery String +: ;Ċ +Ġ" [" +oto pe +-A meric +ĠMatthew s +UR AL +âĢľ , +Sum mer +f os +_CONT AINER +_A CK +Ġfil tr +_dis p +_ Re +Ġfac ile +а ÑĪ +Ġìķ Ĭ +Ġe ben +Ġspr ink +ĠQ uint +> V +Ġhistor ians +our met +ĠMonitor ing +led ger +c ott +Ġw are +GG LE +c ars +ĠM EDIATEK +Ġvol upt +_ View +HE L +(c opy +(st ats +Ġchrom osome +ĠCurt is +- conf +( asset +Ġhv or +File System +< >();čĊ +oc oder +ĠC annon +) x +ĠSm ooth +ĠS AS +_ ce +ĉ prev +_m ovie +E c +_w all +< Button +ĠF AST +Ġon View +ul an +ĠS UPPORT +Ġgesch ichten +ĠS ons +Im m +$ IFn +Ġfair ness +Ġd pi +ats u +J osh +Equal ity +Ġ} ()Ċ +_ less +ĠR atio +ĠC ats +ĠS tern +Mon ster +Ġmer cury +ü hr +Ġplus ieurs +.des erialize +sc opy +.F alse +) animated +ĠExp erts +Ġ"") {Ċ +.W hen +see also +.un pack +LE M +.select All +Ġperception s +ud ing +ir ling +ĠPrint ing +gram s +ĠFile Stream +erv ille +il og +ic mp +_C ount +Ġlivest ock +- ca +doc uments +Ġpo les +ĉw ant +Ġflu ores +Ġstand point +ĠH uge +Ġradi ans +ĠUIB ar +EDI UM +ĠHistor ic +_h older +ĠMar ines +Ġt ä +.L ight +quir er +ason ry +div ider +ĠFl utter +_f b +restrict ed +ĠEvery body +N ão +Ġkn ot +ĠT witch +Ġhall way +(C ollider +Input Element +? )Ċ +/ off +/ ) +play ed +[ OF +Ġbat ting +_d l +Ġcom edian +Ġé v +ĠD EM +ĠEd en +: white +' ', +Con struction +acer b +Ġtask ed +.man age +Rel ationship +Ġph on +n z +_B GR +Validate AntiForgeryToken +_ air +âĢľ When +Ġgl fw +ĠCon versation +_T OTAL +, Z +Ġg raz +Ġiter able +ĠP ASS +Ġadvert ise +Ġmö glich +/ train +ĠVolk swagen +Ġcreep y +Ġ" )čĊ +QU ENCE +Ġalt ar +Ġed its +comp iled +aw ning +ĠD ungeon +Ġo sg +Navigation Bar +Ġtrend ing +ĠE co +ogg les +cd ot +| - +S ie +ec ret +ĠN egative +ĠL ing +ĠD IM +ĠC WE +ĠCar rier +Ġcar tridge +_us b += os +ĠJack ie +Ġo tras +Ġcommod ities +ĠP resentation +)&& ( +ĠMar tha +ĠCath olics +ĠM ond +об Ñĭ +_ absolute +Ġash amed +pons ors +t al +Ġsad ness +Ġpu ò +F ade +-pre view +ĠRequest s +ĠCal vin +h orn +Reuse Identifier +(pro vider +/app s +ime o +ĉ Class +S amsung +ĠW ORLD +Ġc innamon +dot env +ĠI User +ĠDE V +_C har +.ib atis +et i +/ me +s st +.s ym +ĠRug by +-m aster +aj ar +ĠY EAR +Ġo dp +ĠR oles +Ġbip artisan +ail le +Ġblock er +Ġgre ens +.SE CONDS +Ġbelie vers +ĠL ikes +F LOAT +Ġm ak +Ġg cc +âķIJ âķIJ +(" ~/ +SCRIPT OR +Ġton nes +ĠS ang +Ġtrans pose +enn ai +P red +Ġsoll te +.github usercontent +( print +ĠH ole +çľ ĭ +ad get +Ġprompt s +Ġgen etically +ĠH od +Ġvert ically +_control s +ÑģÑĤ ан +") {čĊ +$ title +Ġ} ),ĊĊ +Ġstate wide +ĠCor respond +ĠAt tr +it ant +Element Type +Ġout ward +Ġfam ilia +( article +Ġbl at +Âł Ċ +Ġgl Get +ĠRe ceiver +Ġ% - +ad am +W inner +Ġtail or +_p wd +ert en +St an +ĉ all +al ive +strt otime +� s +s essions +$ conn +ass ist +Ġchat ting +ĠM ant +Ġ% @ +Ġ"" );ĊĊ +Ġd gv +Ġíķ ¨ +.re peat +_M essage +Ġadvis ers +/ path +Ġk es +) } .ĊĊ +ogen esis +ĠOPTION S +upt ools +Ġmilit ant +Ġex ited +ig ar +ĠCOM M +ĠDis posable +ay cast +Ġrow span +Ġsyn thes +Ġsond ern +ĠĊ +ĠJ acket +R ATION +.getSelected Item +- init +ĠReg isters +_se p +ĠTool kit +.d ict +Ġx label +\ Table +t oc +_com bo +ĠComp act +Ġr ugged +à¥ĩ ठ+-man agement +')}} ">Ċ +ĠSt amp +ı l +ro x +Ġlandsc apes +_NOT E +mon ary +c ab +Ġmo et +x af +rc ode +- cli +_g ate +[ event +SP ORT +g ia +ĠS UPER +/ Login +_sh utdown +int errupt +Ġpret ending +Ġfr inge +ĠRed s +ĠC UDA +ĠUN IX +v it +Ġbr ig +dr v +ĠConn ector +There fore +Ġl ia +D etection +_ actor +Ġtemp file +Ġecc entric +- role +Ġpad x +d ent +West ern +Ġê ·¸ +ĠApplication Record +Ġcampaign ing +_run ner +ĠC ivic +ale igh +Ġdire kt +.s ul +ĠĠ ĉĉĉ +ant en +Ġiss uer +Ġassert ions +( orig +AT IO +Ġlean ed +ä s +.D TO +expl ode +.O bservable +Ġstagger ing +Ġkidn apped +Ġprogram mers +ĠInn ov +.param eter +Ġdom ination +Ġske ptic +Ġæĺ ¯ +Ġavoid s +.Ver ify +ub by +ĠAS N +Ġformat o +ĠBeat les +_b rand +Ġin set +y outu +Ġto c +-f inal +Show ing +ĠD oub +ĠM esa +Ad j +_m edium +Cre ates +(end point +ĉ UP +bb ie +Ġst alk +.datab ind +.S can +ag ents +$ , +ind ividual ++ )/ +ĉv m +(not ification +Ġin ex +ĠClass ification +ren o +Ġo lig +-r ated +Ġform ulation +', { +Ġa cept +_un pack +_C A +.P ow +ĉ im +Ġal uminium +AN O +Ġx n +Ġcó mo +ĠIng redient +Ġseiz ures +åħ ± +ific ador +Ġsigu iente +ĠIn fragistics +Ġduplic ated +ĠDe e +Ġn ø +ĠAC CEPT +(c rate +иÑĤ елÑĮ +- less +Ġinf inity +An alyzer +-D ay +rit t +(c in +ĠG y +Ġmulti plied +uch i +ĠBald win +/ ip +Ġshort cuts +.A DD +Ġvig or +_in struction +( ; +_ eta +è¿ ŀ +utor ials +Ġboost ing +b v +Ġacknowled ges +List ening +FA Q +; b +(( - +Ġarchitect s +Ġz we +Ġpul s +Ġget Count +ver bs +ãĢ ľ +(C ollection +k re +Ġjuris dictions +_b ridge +ĠCr ack +ĠDiff iculty +K O +Res ervation +_re quires +T our +ãģĹãģ Ł +.set Current +Ġk y +ĠAlb any +Ġè § +ll er +agn a +work ers +.bl ank +ĠPr ayer +M IC +Ġresil ience +Te X +ĠL anguages +st udy +ĉc urr +Ġenzym es +Sl ug +ĠíĮ Į +str al +Ġtum ors +Ġseg unda +=' { +in struction +ĠL isp +/ info +Ġ" {$ +,: ), +Ġg v +( ErrorMessage +Ġ' = +}- ${ +.Doc uments +" Well +Ġreminis cent +Ġg az +iro pr +eh r +Ġsup pressed +ers h +.scroll To +Ġcad ena +Ġgame State +ÃŃ m +( conv +ĠTom orrow +ĠC CT +M ongo +ul g +.C amera +.hand lers +m ph +Ġst k +Ġgen etics +AC ING +Tr ivia +ĠB am +(m arker +.St retch +ĠSun ni +ĠBet ty +.t olist +un likely +.Rect angle +ob solete +IL ON +inner Text +emb ourg +a N +ĠV ehicles +un lock +: utf +n ob +ĠSee ing +ĠNE VER +Ġt ls +Ġfil les +Ġbenef ited +ĠCl int +*/ ), +.f old +Ġpos ible +A DED +th ouse +.D AL +ĠO dd +ro kes +ĠSun ny +ĠPartial Eq +_B uffer +ĠLe vi +long rightarrow +eld on +g ages +_w arn +.Create Table +ĠD ip +_ questions +.log ic +Ġ# " +={() => +Ġt ep +Ġju icy +ì Ĥ¬ +en ko +ia lect +Ù ī +Ġon board +Ġæ ı +ĉ rt +_ UTF +ĠQ Action +âĢ ŀ +( Component +(a udio +.h it +g te +Ġprogram med +state Params +Ġpoly ester +f ires +by ss +] =( +_ quality +Of Day +ĠFair y +Ġy elled +op l +(user Name +ĠD ifference +Ġevalu ations +iff any +Ġcycl ists +Ġc idade +Ġtext book +Ġprof iling +__ ), +de a +. activate +Ġindic ations +Ð ķ +Touch UpInside +Ġinval uable +ĠM ASK +Ġcont end +F req +Ġrecru its +(int erval +ĠUser Profile +Ġ'./ ../ +ed u +_C allback +Ġanal ogy +ĠTro phy +app hire +V ideos +ĠCh er +ĠH av +âĢ¦ " +. validator +g fx +ĠU Object +class names +tri angle +ĠEnc oder +.s py +Ġpred ators += status +-s afe +: ",Ċ +ĠIn cluding +Ġ{} ;čĊ +* cos +Ġend ured +.sul ake +Ġnurs ery +Ġfrag rance +Ġre building +Ġn th +ĠFr aser +.set Date +ĠV ince +_RE ST +Ġvent ilation +æµ · +cri bes +.as m +lp Vtbl +ĠA be +uis ine +, array +ĉ className +err als +Ġ' ĊĊ +Check out +Ġsol icit +A ux +_c apture +Ġrib s +rag on +vi ol +top ics +Function Flags +ĠM arty +b ike +ĠT ucker +(k ernel +ĠO ps +Close Operation +/d emo +ild a +ĠlÃŃ nea +APP ING +Ġsu ites +.visit VarInsn +ur us +ĠMin ute +(m anager +Ġbutter fly +Ġap are +Ġw olves +J WT +ĠSal on +ĉd elay +-es lint +is ations +.r pc +)| ( +ĠSnap chat +/m m +M N +cer ies +.text Alignment +ĠFrank furt +Ġad o +(new Value +( access +( Expression +ĠSign In +ĠHait i +_t p +.set Parameter +Min ute +Ġmanual s +ric anes +ĠP TR +ĠOut er +Ġget line +oc ations +_C D +ĠLy on +/g ui +_l ive +id an +.ge om +Ġborder Bottom +im uth +_check point +Ġme u +ĠIr ving +Ġpeu vent +(M AX +ĠAR CH +Ġp ov +.source forge +Ġjam ais +Ġar k +ĠBaghd ad +ĠC LEAR +Menu Bar +Ġtro is +CHED ULE +Ġ# čĊ +(C all +$ order +(M aterial +Ġencontr ado +$ list +ĠMETHOD S +.begin Transaction +_M AG +Style Sheet +Ġmaj ors +Ġindef initely +clean up +Ġhom eland +(d to +D ates +P resentation +ĠD K +={` / +ĉ Key +( Block +_check box +ne eds +Ġon Complete +ric o +Ġgle ich +Ġx m +O OD +B etter +ĠSQL ITE +. Book +x ad +ĠG one +ĉd p +Ġdev otion +Ġst m +Ġobs ess +ĠBack end +Qu eries +I k +// **************************************************************** +Ġdivid ends +.parent Element +} ")ĊĊ +ĠMaterial PageRoute +: num +Ġexp lic +ĠO L +le ast +O ops +iment os +Ġins urers +Ġhero ic +ĉf ields +.img ur +.btn Cancel +ĠDetect ive +(s m +ĠMutable LiveData +.l ab +(( [ +Ġha irst +ĠTrans actions +å¼Ģ å§ĭ +Ġstd Class +uent o +G IS +_c od +Instruction s +C alls +Pointer Type +ĠR w +Ġassort ment +ĠD IG ++ r +_C ERT +Ġinst ability +Ġv ib +on as +Ġro ku +ap ellido +Ġan gl +prene ur +Ġfluid s +ise ase +Ġde ed +qu ist +_CONST ANT +Ġequ ilibrium +_de legate +ĠQuant um +re i +Cap abilities +rect angle +? >< +al ien +ĠJ ug +D NA +T ickets +Occ urs +ĠHaw k +.setHorizontal Group +\ Collection +ff iti +Ġre arr +.setVertical Group +Ġc avity +Ġadult e +Fac ade +- wh +ĠL OL +Ø ° +Ġgrand parents +Sw ift +ĉw x +æīĢ æľī +if en +ff set +B eyond +// }ĊĊ +Ġw ager +Ġb ury +Ġcomm ence +reg istro +sc ient +ĠPer cent +Ġд олж +( identifier +.set Model +Ġs eldom +nt on +Ġappl iance +am us +rys ler +Ġpant ies +engu ins +Ġmim ic +Ġon Changed +Ġal coholic +.reload Data +Ch arge +ĠF ax +Ġj ScrollPane +Emp resa +Ġsh attered +x ba +Font s +? s +Ġpost season +ret ain +_r ates +Ġrequest Code +.t odo +´ s +CH K +ĠKeep ing +enge ance +Ġvs code +IPP ING +Default CloseOperation +_ raise +ĠO culus +ogram s +ra j +pc i +Ġcorros ion +.handle Submit +Access ible +ĠP iano +l ittle +AC L +Äĩ e +.un wrap +ĠCon vers +ĠLe ben +ione er +ĠMer chant +ĠJ orge +Ġembr acing +Ġvent a +á st +Ġvi ene +< QString +Ġexplos ions +Ġdistur bed +." < +m emo +ĠAb original +Ġcomple to +Tex Parameter +Ġuom ini +( agent +Ñĥ ÑĢ +ĠWh olesale +/ am +ĠBook mark +dr agon +Ġglo ve +Ġ" "));Ċ +iv ariate +now rap +In Children +.B r +Ġcon exion +Ġback bone +Ġe clipse +Ġpersec ution +': ĊĊ +/ link +ĠP ero +and as +ĠT ek +. "); +-an alysis +Ġer ad +Mar shal +Ġanch ors +og er +Ġconver gence +st icky +Ġnave g +int ern +_DE SCRIPTOR +ĠConsult ant +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ +ĠA uch +Ġer re +ÅĽ li +ĠHor izon +col a +Install ation +hot mail +C NN +.C ollectors +ch s +(tr ace +ĠEnc rypt +Ġ---- -- +ĠBase Controller +Ġag ua +Ġre active +id l +Ġclass Names +ĉ Session +ĠDod gers +H ad +_l v +Is Valid +ĠHEL P +ut to +ĠVer ification +Ġget env +_p a +.b mp +: f +ĠLou ise +(' ; +/ socket +Gr anted +.c alendar +( IP +ĠP X +.R oom +Ġprogram m +ens i +Ġtablesp oons +Ġle ve +Ġmo str +.t ipo +/ an +(d i +Ġb iod +Ġdb Context +ĠJS X +ĉ results +. END +ht e +l ify +P recision +èĬ Ĥ +ARS ER +)did ReceiveMemoryWarning +at tempt +IS P +& a +_P OP +ĠT ac +Ġprepared Statement +Ġзап иÑģ +Ġow ing +, start +Ġreview er +Ġr st +Ġprop Types +Ġrock y +_lo cale +ĠStrateg ies +ĠWe ber +.C ascade +_equal To +Ġcos as +ĠDe letes +ĠMax im +Ġsh rimp +re trieve +.In clude +IG IN +ĠO E +] );čĊčĊ +.en umer +Ġco ef +_N ull +R a +ty ard +ĠSh awn +keep ers +Ġq q +_s b +om ens +ĠExec utes +# " +TT Y +ĠValue Type +); */Ċ +ĠAbs olutely +ĠT ottenham +/ art +Ġbless ings +Ġswift ly +b uster +Ġa vid +COM M +, temp +Ġ} ?>Ċ +-g rowing +Ġdeep copy +A ck +egg ies +Ġ__ (" +Ġno ir +terror ism +Ġanth em +ag ency +_PACK AGE +ĠC losure +.reg istry +Ġmamm als +< L +U ICollectionView +ĠLED s +Ġvol ley +( Buffer +_N ATIVE +lib c +impl ode +Scroll Bar +ĠMar ion +.Con tracts +_A t +ĠWe instein +compare To +ĠH ose +en ity +.create Query +_r outer +Ġstim uli +Ġ++ ) +ĠCh amp +ĠBay ern +ass a +.v a +Ġdistrib utors +Ġfile private +Ġdepart ed +cc cc +@ click +ĠL unch +> L +Ġbl uetooth +.De ep +- standing +ác il +Ġro oft +ĠPath s +_iter ations +Invalid ArgumentException +.s pi +ĠUIAlert Action +uy e +sign in +.p riority +ĠEss ays +=' {$ +Ġè¿ ĶåĽŀ +_s igned +.p ersist +Ġred esign +To Lower +ĠNew man += start +ĠIsrael is +asis wa +Spe ech +Ġnum eros +hand lers +ĠW ong +Ġм еÑĤод +We ights +ĠGu jar +te il +ĠNon etheless +_E FFECT +Ġv ect +ĠO sc +Ġco ats +ĠW heat +Ġge ek +ĠPRO PERTY +w orm +_const ants +ĠB oulder +ĠP arm +co le +Ġdefault Center +ĠRou ge +: A +xc f +ĠVen ice +med ian +Ġred emption +F resh +Ġcos m +Ġfig ur +Ġref urb +CO PE +.c d +Ġch ords +ĠS gt +Å į +VP N +ĠS END +ain en +_account s +Ġtent h +Ġdiss olved +< App +ĠCover age +use State +é ro +.. < +Ġì £¼ +Ġdream ing +ĠFore cast +.C ursors +Ġvis as +/ script +_start ed +Ġga str +(P RO +]; // +.T ile +* sin +( Adapter +ĠSand ra +_S IG +ard ash +ĠO val +Ġdescri pcion +(s l +ĠDes criptor +Ġ` $ +/f ree +ĠKey words +Ġt udo +ion ale +(f ound +.x yz +ĠGeneration Type +_DISABLE D +( area +Ġel ites +Ġh ombre +(m essages +ĠR ac +Ġext ingu +ĠEst a +op o +. vel +mouse out +Ġconv olution +ĠHand ling +Ġceil ings +T ek +ĠAre as +.writer ow +< View +ĠCorn ell +_B IN +.in valid +'' 'čĊ +ie ż +_P osition +Ġk idding +PC ODE +Ġwatch er +lo x +Ġâ Ĺ +D ave +_all ow +Ġbis exual +Ġun ordered +ĠSch we +_se gments +Ġt earing +IN LINE +Ġund es +.g oods +.c am +ĠL W +ĉ where +Cal culator +-th reat +- alert +ĠSuz uki +ĠIP A +ĠAtt achment +AC CESS +(d type +O pp +_s ymbols +Ġdans ke +l age +or get +res olution +е Ñĩ +ĠQ Color +ĠBar rett +аÑĨи Ñı += \' +ĠNav Controller +/ ref +(c ountry +_H DR +Ġterse but +pet ition +Ġsu f +cred its +๠Į +x m +ĠDav ies +.re ddit +Ġw oven +ĠO bl +ĠK M +ĠConsider ing +ens ored +.per iod +Ġd dl +$ wp +Ġextrem ist +; \Ċ +Ġk im +al ers +Ġspan ning +Ġco herent +Ġconse gu +.text Label +.g eneral +_d ashboard +л ение +k ick +_P ID +ĠExt ensions +reg exp +ĠCl ause +_m ov +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ +ĠR eward +ĠLEG O +A k +=-=- =-=- +ĉ parser +Ġon ze +éĢ Ģ +âĢĿ ãĢĤ +_b all +(r hs +Ġch orus +< count +as urable +Ġwirk lich +ĠEr in +ĠMS NBC +Ġet ter +ĠC ron +_F LOW +Ġ, čĊ +Ġcal idad +ĠFile Writer +ĉ stmt +( Byte +_p at +Ġte lescope +Ġgre ed +ĠT ort +(w rite +\ application +ĉRT LR +ĠConfiguration Manager +Un ix +End Time +In cludes +ĠHar vest +en berg +ĠAustral ians +Ġë ĵ +Ġr n +Ġreput able +Ġbl ending +UL ATION +ĠBrend an +d ad +Ġm ø +ĠW oo +_d c +U ne +Ġr ue +with in +ang ep +Ġp ouch +\" ", +ĠS ic +âĢĿ ), +aly ze +ĠG ef +c overs +Ġd bo +replace All +ĉ Logger +Try ing +[ state +-p iece +éĸ ĵ +beh avior +all ows +l rt +_p ython +ert ura +-c ountry +ĠT G +.UI Manager +b ens +ale x +ĠBre itbart +b ac +Ġpredict s +Ġg ab +Ġcard inal +.Time Unit +ĠVis itor +ĠM ing +Ġliv re +Ġparent Id +port un +Ġdimension al +ĠV est +en ic +à ³ +Ġ Ùĩ +ĠBL UE +Ġitem Count +Ġfe athers +ĉp stmt +ĠPol ar +{ // +und i +Ñĥ ж +z ar +Error Response +ì ĥģ +Rep resentation +* _ ++ ] +pre pend +Ġ' > +Ġlegitim acy +Ġo o +S linky +Ġnation als +. words +; p +tr ap +oman ip +Ġc ues +Ġgradu ating +Ġsem aphore +"] );ĊĊ +ace y +RE ET +Gr ab +ĠFel ix +( Id +_ne ighbors +Ġmeaning less +(d el +Ġj eder +ĠContent Values +.abs olute +/ cl +Ġx b +dat um +Ġtort ured +Ġrub bing +S cores +ĠðŁĺ ī +Ġav ons +Ġam sterdam +E OS +H al +Ġtrust worthy +# = +.EX TRA +Ġman o +is icing +-s upport +ĉc ursor +ĠSp o +aim assage +M ission +[] {" +Ġprint ers +G REEN +Ġt eg +Ġabdom inal +! ĊĊĊĊĊĊ +.Sh ort +аз в +ĠGift s +} ") +(b inding +x ce +âĢ ij +inf os +Form Data +Ġd art +Ġele ms +(in v +Y L +t in +GEN ER +á» ¯ +ĠT aken +uck le +: e +Ġspect ral +.b aidu +/ ');Ċ +Ġgre edy +es ion +,,,, ,,,, +Ġ/> ,Ċ +Internal ServerError +NSNotification Center +ĠA i +Ġsp it +Ġaug mented +Ġstandard UserDefaults +FIN ITY +R ace +: C +ĠRE CORD +ĠHigh light +Ġ' ` +Ġdef icits +Ġne i +Ġresearch ed +T a +Ġc opp +.Get HashCode +): čĊčĊ +On Click +ĠWell ington +Ġrev ival +æ¯ Ķ +éĹ ® +ĠN SS +Ġfor n +Ġint é +ĠKu wait +_fl ip +_ bo +_ \ +Ġocc urrences +ĠScient ists +S RC +og ens +igr ant +RE MOTE +ĠS ID +. opts +u ve +() ])Ċ +Ġlibert arian +ĠGl ide +les en +Ġform e +ow ania +Ġannoy ed +Def s +ĠExec utor +Ġcast s +.set Checked +ĠSh aring +.Serialize Object +Ġselect ors +_ OTHER +ë¯ ¸ +(s uper +( OS +_VER IFY +id unt +< header +Ġ/> ';Ċ +Ġvidé o +ĠNeg ro +ĠL ords +ĠT ours +Ġsoft ly +.re ceive +ĠE RC +Ġdata Set +Bad ge +ĉ Event +Ġper l +Ġ{} \ +(s entence +Or Update +Ġdim inish +P IN +(d raw +.To DateTime +.Equal To +(p in +-p encil +lu ent +ĠCall er +Ġplay ful +- '+ +x ca +sw ick +){ }Ċ +}: ${ +ĠM eth +.get Cell +.b reak +Ġy max +=' Ċ +ĠH iro +( TRUE +as urer +Ġcu er +U ber +. Operation +Ġol an +Ġthr illing +< Response +ĠF emin +Ġtravers al +Ġp oc +Ġset Status +decl ar +std afx +Ġaddict ive +ĠB tn +Ġexplos ives +ĠCook ing +ĠPl aint +Ġaccum ulator +ĠApp ointment +, password +ĠF AR +lu et +Further more +decl spec +_Static s +.D ictionary +"> '. +ĉ valid +" ", +In strument +> J +Ġno str +ĠR ift +_P ort +Ġvec es +[ [' +Ġrall ies +- series +Ġv v +. uc +Ġr tn +State Changed +( ins +ĠCl a +------------ Ċ +c us +ĠRel oad +//---------------------------------------------------------------- -------------------------------- +.se conds +_dest ination +Ġscrew ed +> c +Th ickness +Design er +Ġgr ids +n Äħ +( cookie +T rip +-M obile +Ġv oll +Ġgen ital +Ġconf isc +ĠConfeder ate +Ġweb View +Ġm ise +Ġcl er +(se lection +$ date +Ġshar pen +rag en +And Update +Ġrem ix +Ġh tons +R W +M PI +Ġretrie val +Ġric hest +.Dec ode +:init Components +ĠT Value +S aint +@ include +ĠPER SON +.se p +ĠLD AP +g ba +Ġgro ÃŁe +Ġreli ably +ĠD FS +.getItem Id +Ġprés ent +.get Token +Ġch inese +ĠMe al +Y OU +"> >ĊĊ +b ower +Ġsw apped +/ install +Ġs inks +etr ize +Ġdecl ines +ĉm ysql +ĠC String +ĠMotion Event +.L anguage +R oad +ÑĤ еÑĢ +asc imento +')) -> +. about +( editor +ĠR atings +in come +Å¡ e +.de queueReusableCell +ĠAust rian +Ġs ulla +ĠTrib unal +ĠDid n +ов аÑĢ +Ġins pections +B oss +Ġcock tails +Ġapolog ized +_sub plot +op al ++ =( +Ġreson ance +ib u +Ġë ¦¬ +rom a +res erve +pl s +ĠT ah +ax ies +OP LE +ĠDar ren +ĠZ ombie +_M ap +Ġ] )ĊĊ +ĠQ i +ĠS ail +Ġrestrict ive +Ġeros ion +- par +WH ITE +Ġold u +Ġap erture +Ġbit coins +text o +ĠCom cast +Ġtime less +en kins +Ġfeed er +/ tmp +res den ++' _ +.D estroy +Ġç ok +ĠD OCUMENT +.l ng +.tag Name +Ġk ullan +eg rate +Ġ(* . +ç¼ĸ è¾ij +Ġhand shake +s oc +_ geometry +ĠDam ascus +Min or +ĠK afka +ìĹ ¬ +Fl orida +_com pute +.ex pr +Ġpar alle +ĠD iaz +c ir +[ target +Ġj oking +Ġgl or +(set q +_hand lers +H ang +Ġf err +rim inal +ĉĠĠĠĠ ĉĉ +ent ies +def ines +-t ax +json p +ĠU PS +met ro +__ ;Ċ +ĠUg anda +])) :Ċ +_t d +x ae +l w +. OS +ĠLog ged +ac id +ĠMay o +as pect +Ġvag inal +Ġinitial izing +Ġster oids +f iction +G RE +g end +Ġli abilities +ĠL ets +M ech +( nc +( change +Ġconnect ors +: k +Ġt ast +! ");ĊĊ +th ings +ro phy +luet ooth +ĠSign Up +. ctrl +Ġthere in +ord a +. escape +ig ator +Ġpet rol +Ġspec imen +Ġdeb uted +- Pro +Ġcr ises +.add View +ëı Ļ +-d oor +Ġmon et +Ġmill is +Ġv ier +Internal Enumerator +Ġadmin s +ĠL air +z in +get Query +umb les +L IMIT +ĠV ig +_s ong +< Character +:: . +_h om +_b p +ĠSup ervisor +sub mission +ab ile +Ġno i +Or Create +Ġpe el +Ġon Start +Ġsent iments +veh icles +Ġclass rooms +Ġs zer +Ġb ending +Ġlong evity +Ġa cl +ĠAle ppo +ĠU M +ĠR icht +Ġmultip rocessing +DOM AIN +"," + +_Y EAR +Ġsc rape +Ġsol itary +Ġ"] ";Ċ +/ errors +ìŀ ¬ +ľ ëł¥ +b etter +ĉ number +ĠL F +ĠAc ross +Pub Med +\" " +ĠExcell ence +Ġus ando +ĠU IP +Activity Indicator +_V OID +Ġbre eds +ï½ ¥ +uest as +ĠTre asure +ustral ian +(f ace +ĠT ennis +ĉ Int +ĠHans en +ç µ +: I +Ġâľ Ķ +GR AY +O USE +Ġhe pat +ł í +A IR +ó ż +Ġque ued +vinc ia +ĠChrom ium +Ġcompet ence +ung al +ill i +Ġget By +ĠF inder +Ġincap able +Ġs add +Ġc ites +ĠChurch ill +S dk +More over +As pNet +( Float +$ password +ĠConn or +-s ession +_d m +* )) +Ġde utsch +ĠN X +Ġper ks +_S ORT +_TO OL +_V ISIBLE +.as p +æĪ ĸ +ĠBre ath +D etect +ĠD uel +.c mb +[ it +.Set Bool +Ġnarc iss +Ġab ide +Ġej emplo +ĠâĦ ķ +Ġm ornings +Ġcomput es +.s sl +j t +Ġmuch os +_S S +[ end +Ġbas in +Ġalgun os +ĠCroat ia +lin ewidth +(t ags +(h idden +ÃŃc io +Ġap ar +ĠÐ ¶ +ä¸ İ +. food +ĠR ural +Ġbread th +å½ ± +(s ess ++ ") +ĠP aste +Ġserv idor +ĠBit Set +ĠTr an +la us +v ette +ey es +ĠCL ICK +ĠV III +ĠTurn s +ĠLe Bron +ĠM uj +ĠD eg +ĠAdult s +_s uite +process able +ĠPH Y +g hest +.F ail +ĠSl ack +ce j +\ Carbon +Ġsuper star +Ġhold ings +( forms +Ġ'# ' +M ultip +("[ % +-s olid +/ url +-t ier +[ length +ĠStream Writer +ĠMarket place +get text +_T ICK +ĠFor ge +Ġblack jack +ĠDO ES +ĠM atters +w aves +Ġwhisper ed +Ġl ush +ìĺ ¤ +d igital +Ġwr ink +ĠH ogan +Ġrust ic +.Apply Resources +ĠHard y +os omes +A UT +.ST ATE +Ġnarr atives +ĉ store +b ib +ĉ Scanner +ĠC ody +\ Repositories +Ġre union +and um +âĢĻ h +Ġsn iff +NS Bundle +Ġcompreh end +_US AGE +_ occ +URRE NCY +J NI +Ġspecial izing +Ġvis ions +Ġdol ore +Ġv á +ĠChe vy +ĠSt yled +imp act +all en +Ġk art +ĠTable t +st uff +re esome +аÑĤ оÑĢ +//---------------------------------------------------------------- -----------Ċ +_Ad min +Ġcell phone +Ġaut oplay +Ġcamb io +Ġmar itime +_BO OT +- quarter +Ġlat ina +ĠAJ AX +e quiv +ĠFront ier +ĠX Y +} ]Ċ +ĠR ough +.pro to +Ġcorrect ness +Ġfac il +ĠRe ached +ãģĿ ãģ® +V IS +.p s +Ġstr ncpy +Ġdiff usion +.start Activity +�� � +Ġaccom p +AMES PACE +imon ials +ĠBl ast +aby rin +Ġd ome +Ġextr av +Ġy en +Ġcul inary +P RI +ĠComm unities +n id +_oper ations +.h s +ĠMil ton +Ġno ises +Autoresizing Mask +(c id +}ĊĊ ĊĊĊĊ +] },Ċ +ĠD etection +tab la +Ġlib erties +_D YNAMIC +w get +ĠT ür +ĠP ascal +Trans parent +Delay ed +] () +ĠHer bert +< ActionResult +ch allenge +Ġmush room +.insert Before +ĠR in +Ġhum our +Ġf ø +api Key +alloc ated +Ġconf ession +. ",čĊ +ĉassert That +ĠS ORT +ĠL ORD +Ġexport er +.set Level +p okemon +ash tra +Ġf é +ur ator +(M SG +Ġt up +ĠH ull +Ġyield ed +.Sub ject +\ Route +! ? +ĠÑĥ дал +\ Security +- ar +Ġalleg ation +( Settings +ä nder +Ġell ipse +ĠRetro fit +Ġregul ating +ĠM olly +ĠL ok +_C ustom +ĠProm o +is in +Ġres umed +Ġmet ropolitan +.error Message +: ------------- +Ġpas ado +th ank +_De lete +ĠBright on +, unsigned +ä½ľ èĢħ +Ġaspir ations +-h ow +R ose += (( +_ne eded +_pl ural +< Application +ĠW EEK +ĠUn lock +ĠT EMP +S ou +Ġschizophren ia +Ġt roll +Ġcomplement ary +ĠNET WORK +Ġbl ir +Ġprogress Dialog +" %( +ĠAttribute Set +ĉ ts +.iter items +è¯ Ŀ +Ġesc rit +v ous +_pl aces +H K +Ġseg uir +_f w +ĠR ounded +Ġdis posit +è§ Ĩ +par m +w ow +STRU CTION +. allow +ĠChar Sequence +ĉ extern +Ġprosec uted +Ġmort ar +ĠJ uda +- msg +Ġest ud +.get Description +Ġs ow +amb re +Ġrom a +En h +bon us +Ġsqu at +Ġdist ra +ed Image +Ġpe ppers +-per formance +, ĊĊĊ +, file +ĠM IME +_con cat +AB S +-f ashion +Ġunder cover +One ToMany +Ġre claim +C OPY +Ġb inds +ĠT ape +Ġg ossip +ĠEqu ity +/ Card +. activ +' am +Ġdrain age +< Scalars +ĠonBind ViewHolder +() ?. +Ġs orrow +ĠI b +up y +_U UID +ĠCh arm +ĠElection s +.on Destroy +ĠInterest ingly +ounding Box +_d etection +-h eld +_ unknown +Ġrefr ain +Ġmét odo +Ġe Book +EN OMEM +Ġd ang +Prof essional +Ġd ictionaries +/m ysql +ĠST UD +Ġmas se +s cape +Ġdre i +: name +.log o +Sign Up +Ġt ahun +( theme +ĠFem me +Ġbom ber +ĠJ ade +ĠT ay +Ġsubmar ine +_cl ause +zy ch +Ġsimult aneous +Ġcas os +. boolean +(l hs +Ġcontin ental +-s ale +ĉ env +ĠC ute +ĠFactory Girl +ab us +/ value +Ġj adx +Ġst ern +> >ĊĊ +Ġsurf aced +Ġìł Ģìŀ¥ +pl atz +ĉ email +cept ors +"> ( +Ġep ile +è¯ » +ĠDe bt +åij Ĭ +N OP +" https +: j +Form Item +_L ICENSE +.get Double +ĠAg enda +ĉf inally +(f ilters +( av +ç¾ İ +AP ER +Ġl ava +еÑĢ ж +)) ))ĊĊ +Ġfault y +_n m +Ġtr ava +(B itmap +Ġspeed ing +> '). +Ġscreen ed +_ roll +ĠMac Book +ĠA UD +Ġdiagn ose +.G enerate +Ġ^ ^ +Ġstr s +[ Test +Ġr ansom +ĠDH CP +eld en +Ġinterpret ations +() ]. +flat Map +Ġline Height +_m ount +ĠW izards +Ġsl uts +eh ler +od al +Ġmilit ia +å ² +earn ed +Ġmis ery +int val +f und +Ġh ides +Ġdi arr +ĠWes ley +Ġx mm +Ġqu em +ĠAr abs +if th +ategor ized +Dis posable +P ure +_NOT IFY +sn ippet +ĠGar rett +.run ning +. weights +Ġ( -- +Ġin variant +äºĭ 件 +ĠAll owed +dir s +Ġpass ions +Ġl ad +ĠFl ush +men us +: block +Ġcompr a +.ch omp +alloc ator +Ġcur ated +ĠKnow ing +ĠPatt erson +Ġtel ah +' ex +Ġdo omed +Ġphil anth +ott y +.st yles +Own ed +Ġallerg ies += params +oc ese +it elist +ĠS ending +b ef +orr ar +ĠN ão +ĠF argo +ĠL ub +ĠComb ined +_g iven +ĉĉĉĉĉ ĠĠĠĠ +Ġreconc iliation +Pattern s +az ard +Ġbiom ass +ĠH ouses +resp uesta +cc o +/top ics +ĠY uk +Ġweaken ed +_c alendar +Ġmulher es +ĠMar l +Ġs ine +ĠT il +ĠSou ls +ĠDe utsche +ĠF OLLOW +Ġpip elines +ĠBever ly +_DIP SETTING +" # +ĠPro to +.b ig +ĠSav ings +ĠT anz +j un +ĠG amma +ĠS add +Ġadvis ors +Ġro ast +Ġun ters +ud ies +_l on +-point er +ĠElement Ref +\ Builder +example Input +.web driver +data Type +ĠQu ite +ĠCelt ics +u il +-def ense +b ish +ĠUI Window +ĠS uddenly +.h ot +.re ason +Ġg ör +AM D +.M ulti +auth enticated +reg ions +; ( +а ÑĢам +ĠKir by +$ route +PREC ATED +ĠDur ham +ow o +ĠPer forms +Ġdisreg ard +n st +ĠP ols +Ġget P +"] : +-col ored +( Keys +ĠAl leg +_mod ify +_ loading +str ained +Ġat roc +_p hr +< Sprite +Ġsatisf actory +m anship +.p ipeline +T ony +Ġth ief +pol ator +( lock +bur st +ĠOptim ization +Ġsurf ing +" Yes +Ġdesc ended +æ Ĵ +_C lear +Ġc ries +ĠFro zen +D IRECT +- Con +ĠLe icester +å¥ ³ +O OM += db +Ġget Message +< Student +_b atches +.M ask +_ eth +\ ) +Ġsom a +C atch +[ ch +Own ers +ind le +: auto +. vert +iv r +.set Location +Ġfl uent +_END IAN +ĠCar lo +cept s +add Action +.o auth +< UnityEngine +re ements +.S kip +? )ĊĊ +.default Props +Ġc abe +ĠSh en +eros is +ĠPro fit +Ġpo is +_C REATED +Ġremove From +(w s +? action +( Field +Ġerr one +.min imum +ĠRetrie ved +Ġd ado +ĠPR IVATE +-s pec +Ġg zip +p data +Ġpos Y +(l ow +Ġqual quer +/ cloud +ê² Į +( common +ĠAr beit +organ isation +Ġtid y +ĠRol and +( ph +.z one +Ġgent lemen +ượ c +å± ± +Ġenc losure +ĠMan afort +ĉ Color +St encil +N ic +Ġthe orem +ĠV G +Ġcol oured +V BoxLayout +uls ive +Drag on +c ff +et est +ens a +of day +.A zure +:UIControlEvent TouchUpInside +_up dates +Ġtrend y +ug as +weak Self +Ġr idge +ib ri +Ġì¶ Ķ +(C G +ĠMon key +.write Int +.tim edelta +ViewController Animated +ĠProvid ence +ãģ Ī +Ġbl ends +/Sub threshold +ĠAp pl +Ġat an +Ġreload Data +umb otron +st üt +O Auth +ĠG iving +ĠìĦ ¤ +ĠFinn ish +check ing +. Embed +sequ elize +Ġinitial izes +ĠOs lo +Ø ¶ +get Extension +_AL T +(bl ank +Ġfatal Error +Ġdem ise +**** *Ċ +ĠX S +(A F +ĠEn s +an tha +ĠP OR +Ġn ich +.N amed +Ġgig antic +ĠObserv atory +.Res olve +ĠPay ments +g uild +Ġcurrent State +============ ===Ċ +ĠS ey +p Data +Ġdead lines +Ġcentral ized +ĠScholar ship +_s upported +.ch rome +() ]);Ċ +Ġc yan +ĠC age +Auth ors +_ čĊ +/ os +k im +de e +.t ex +Ġyours elves +Ġm gr +Ġal k +-inst all +Ġdraft ing +Ġrum or +Ġstat ues +Pool ing +ol ina +AAAA AAAA +/* ---------------------------------------------------------------------------- +Ġextrem ists +Cal cul +ighth ouse +In set +(IN PUT +Ġsynchron ization +iv irus +. axes +ĠG ap +- An +_T emplate +Ġgam er +ĠCr icket +Ġl int +Ġauthor itarian +NS UInteger +Ġred o +Ġadip iscing +_F ETCH +che id +ĠF ang +. indices +t one +д ел +Ġ{{-- < +bra him +Ġsal a +get Code +Ġcommunic ated +start sWith +ert z +Read able +Item Id +oref errer +cred ible +á ria +Ġcombine Reducers +** /ĊĊ +Ġbl iss +Ġad orn +dep ends +ĠRO OM +Ġfr aming +Ġ? ', +aut y +_p ot +_t abs +Ex act +, ", +Ġ'} ';Ċ +Ġarbit r +ahr ain +.getString Extra +Ġ$ \ +Ġoutput Stream +Ġcomm enc +an us +ch y +< Employee +Ġhex atrigesimal +Ġn acional +(serial izers +_put char +_S AFE +ential Action +ItemSelected Listener +.Dis patch +Conf lict +_ about +os aur +Bound ary +Ġclear Color +( Location +ĠMON TH +ĠT aste +- General +ĠW AR +Ġer halten +-s aving +Ġcou pling +-tr igger +m otor +Ġy yyy +ĠPat ent +pt o +Ġmisdemean or +vas ion +ĠAdmir al +à¹ī า +_P WR +Ġdevast ated +fol ios +ITU DE +urre ct +Ġrobot ic +ĠSan ct +ĠHawai ian +.R oute +- condition +Ġr k +/**************************************************************************** Ċ +create Element +ĠK op +ign ant +. rollback +Ġsal ud +_ ', +ĠAN SI +Ex cept +ĠDraw able +.Utc Now +":[ {Ċ +Ġk ole +L ua +ĠBel ieve +Com put +Ġhall uc +ĠSign s +r st +.h u +ĠKN OW +W i +ĠBr ass +ĠR as +@ hotmail +Ġsed iment +Ġap k +Ġì ĥģ +_reg ions +Ġpod ium +< Book +ж е +Ġsix teen +ĠAli as +Ġinfr ared +ĠV ander +ĠLe ading +uc ing +,: ,: +_h or +w at +Ġdé cou +_W idget +S ounds +_n avigation +Ġschn ell +(g enerator +uc ene +Ġrem ake +IP v +Ġré al +_IN CREMENT +Ġhypoth etical +_ ang +Ġof s +Ġ! Ċ +.com pleted +Get Type +Ġkom men +ál ido +add On +Ġz ÅĤ +UL A +_ind icator +'] ĊĊĊ +ap ache +_S elect +ĠGre ene +Wh ats +_an im +Ġrepet itive +m uch +ĠTh reshold +Ġl f +(C ategory +con e +M ix +_MET ADATA +ays ia +Ne ighbors +ĉĊ ĉĉĊ +IP HER +ĠFr ag +ĠC ells +Ġnames paces +( back +ĠRest aurants +sv c +Ġл и +ote ch +-s l +¥ ¿ +ĠW T +ĠRed uction +Ġd otted +ĉf ound +ĠTE AM +B orn +ĠM ush +ĠCompar able +Ġh itch +AT O +Ġmax Height +begin Transaction +ÃŃ v +_b n +Ġher d +Ġrevers al +ĠH ond +del imiter +Ġconf use +Ġh ops +Ġcent roid +Ġcourt room +.decor ators +Ġm pi +ĠImpro ved +IN NER +ĠBang alore +ĠT amb +Ġbo ast +() ))čĊ +Ġil licit +ĠMor occo +greg ator +_res ume +Ġcrack down +Ġport raits +/h igh +( \' +Ġay ud +_fe edback +Ġc ate +/ avatar +Ġhe b +Point Cloud +Ġå ĴĮ +Ġ< ![ +Ġget Resources +} :{ +Oper ating +ĠF og +ĉt ab +ĠResearch ers +Ġfabric ation +.datas ets +ĠCamp o +ĠKa uf +Ġd ll +lig t +] ));ĊĊ +st ellen +ACK ET +l vl +ĠGl ory +.date Time +Ġcomm ute +ĠonCreate ViewHolder +ĠX Element +ĠT okens +< thead +_p ick +ì ¤ +v on +depart ure +(render er +phone Number +(P erson +gen es +ĠL ars +Ġ) {ĊĊ +ĠJson Result +Ġmet odo +VO KE +.get UserId +Acc eler +ĉ required +Ġchampionship s +Build Context +/t ask +/re leases +C ategoria +_over lay +Ġscar ce +_l im +n gr +ah len +ĠArt ificial +sp read +Ġbow ling +.an alysis +SM TP +ĉp assword +Ġbath s +] )){Ċ +current ly +ac iente +_se parator +Ġde ber +ĠDis abled +i ères +Ġâ ķ +_process ing +Ġprotest ing +ĠR OT +gr ab +Ġз ак +Ġpro active +word press +ĠSe ver +ind en +Ġw ikipedia +){ čĊčĊ +_w indows +is lation +Ġun rest +Ġdismiss al +.N UM +_F AST +iss ued +ĠF ACE +_u nder +Ġpl ugged +Ġå ° +ĠbÄĻd zie +ĠI CC +Ġcombust ion +Ġkiss ed +Ġstar red +ĠW atts +Ġspi elen +-p urpose +ĠE val +arg es +, result +techn ology +Ġnational ity +ic us +ĠN ug +ĠÑĤ о +ĉĉĉĉĉĉĉ ĠĠ +col o +Ġg astro +ante ed +OL ID +.b ias +_t ele +.ins pect +Ġve il +. footer +Ġneglig ence +Ġjud gments +Room s +yn n +ĉcount er +occup ation +Ġ çĶŁ +un as +Ġ(^ )( +L ambda +f el +.Param s +Ġд обав +set Layout +Ġdeport ation +Ġlocal Object +ĠPharm aceutical +cept ive +ĠN ome +Equ ipment +F an +Un iversal +ĉ socket +Ġgr in +Ġex poses +Ġhab er +Ġsincer ely +Ġc ams +Ġm ü +en ia +E mer +C rypto +Sl ow +(x hr +! =( +-s ervices +ĠP W +Ġprend re +Ġm ädchen +em ons +озв ÑĢаÑī +.M anager +ì Ļ +Ġg raf +- ra +met rical +/ fl +Ġc emetery +g ens +Ġp ÅĻ +ĠMySql Command +- To +Ġv Ã¥ +Ġa irst +oment um +Ġserv o +m illion +ĠMir anda +" She +Ġadvoc ating +-c aption +ĠAt tribution +Ġwel che +_v endor +ĉ Status +arr is +Ġprint k +"," # +Ġrel ativ +if ferences +izz es +Ġdec imals +ĠPro v +.max imum +Ar n +Ġhelicopt ers +_B OTTOM +ch ure +od ings +' ( +")) );čĊ +( bean +.f d +F und +Ġhang s +app id +/k ernel +.p oi +.Min Value +- validation +L uke +c df +ĠFun eral +ĠS amples +ĉ de +Ġto astr +Ġtax able +Ġcl ustering +Ġ'\ ' +Ġre straint +ec ed +ch ains +ãĢĤ ï¼Ī +_GR APH +Ġfue led +éľ Ģ +H p +å¤ į +T iles +Ġa unque +J C +Ġhost age +ĠE sk +Ġm av +Ġgest ion +Ġb anners +} {$ +.int Value +.' "ĊĊ +_M ATRIX +Ġce ased +ĠG OD +_CAM ERA +.Allow User +tr acked +C ook +b airro +( company +Ġview point +.get Writer +ĠN ets +w ives +Ġ( ))Ċ +example Modal +ĉ child +Ġmyth ology +Ġ// " +_ axes +ib old +.D ark +ĠMax well +Ġg pointer +olic itud +B at +ul ner +bal anced +mail er +Ġcont empor +æīĭ æľº +(" __ +Ġ" )" +re ar +ĠHu ang +] ')Ċ +× © +FT A +ĠCalling Convention +ĠOutput s +P k +.Re ference +lect ual +Ġ) :ĊĊ +Ġbrace let +ug er +ĉ Error +S weet +("/ ");Ċ +h x +Ġun reasonable +Inter preter +Ġlo ft +_product o +Ġsoci etal +.P arser +ĠAd apt +. foo +( where +.F eature +ĠYam aha +g lass +For ge +Ġprohib its +Ġcapac ities +Ġíķ¨ ìĪĺ +Ġper mutation +Ġih m +F ld +el ial +======== ===Ċ +@ Configuration +Ġge ared +ios o +iest a +trans lations +Input Change +Pop ular +ĠPL US +Ġv f +_F ree +b box +Ġcaus al +PI LE +Ġsch ö +Ġiron ic +M ir +. @ +åį Ĺ +Ġè ĩ +R ew +ul ence +fl en +Ġcan Activate +- response +Ġacc ents +ign ored +° F +.Dependency Injection +ĉ point +Ġconting ent +Ġsqu ash +Ġpar ms +ĠC emetery +Ġdelta Time +ĠD OS +Ġvan ished +аÑĢам еÑĤ +ĠD PS +t foot +ĠZ us +_IN STALL +G AN +Ġar b +Ġmunicipal ities +Into Constraints +AutoresizingMask IntoConstraints +, image +_ ignore +Ġdanger ously +quis a +pl uck +Ġhar us +up pe +Http Exception +Br acket +.' 'ĊĊ +ĠT ol +ĠView er +zb ollah +.Code Analysis +ì nh +Ġcorrect amente +.d a +ĠAl ger +× IJ +ba um +ĠPan ther +part icipant +å¿ ħ +-s up +Ġem ulator +Ġf ading +ĠW olver +cre ates +Ġbook ings +.Q uestion +§ è¡Į +Ġstress es +Ġre written +.PI PE +ed es +Ġc bd +": "/ +Ġenh ancements +_s y +B IN +ĠSl ip +Ins pect +ĠW eg +Ġcon gregation +Ġ_ : +_r m +Frame buffer +Ġ'& # +ĠFall out +Is Required +ĠPear son +ĠF ACT +Ġrel ie +ĉ box +ĠShe pherd +ĠWiki Leaks +ĠCollect or +Ġres ized +method Name +Ġevent Type +ĠA then +Des criptors +Ġb ers +- oper +ĠInitial ly +å ¡ +_B TN +ĠĠĠĠĠĠĠĠĠ čĊ +á b +_c ampaign +_w atch +F ord +-date picker +Ġvis c +Ġsat u +_s ms +Ġcont ador +-s vg +ĠDO I +$ args +Ġkn ob +.B OLD +Ġdeb ated +img s +sock opt +tr uth +ĠFe es +Ġh Wnd +_f ood +Ġab ras +Ġnot ions +ĠT od +: create +ĠConf lict +Us uarios +OT OS +Ġm sm +K HTML +([ ( +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ +Ġ} ] +w izard +Ġm ientras +Ġdata List +Ġemerg es +Äĥ ng +.Read Int +PG A +ILL ISE +I Enumerator +(t uple +Christ mas +Look AndFeel +og enerated +Ġ# ĊĊ +control led +Ġex quisite +Ġa cest +Read Write +G ain +ãĢį ãĢĮ +Ġcopyright ed +Ġdo om +.Table LayoutPanel +ĠD ort +Ġch ili +Ġwer k +ĠEVENT S +ĠBe acon +Ġship ments +Ġse bagai +up on +ut om +.con verter +.Drop Table +={ }Ċ +f ic +~ ĊĊ +Ġlesb ians +_n a +Fore ign +ĉ then +/ ms +Ġor i +get Property +ĉsn printf +hes ion +ãģ ¤ +"} ," +Ġac rylic +P ers +@ Enable +I sl +(C ard +. Stack +L icensed +_G UID +: title +Ġh ust +Ġprincipal Table +an itize +/ embed +Ġens ured +ĠE GL +ÙĪ ر +ĠåĪ Ĩ +/ ,Ċ +Ġfundra iser +Key Name +Ġmarch ed +_VAL UES +ĠSc enario +Ġmet ic +_ass oci +ĠPast or +ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉ +er ate +Ġinv itations +quo ise +Ġbl aming +Ġd aring +UM MY +Ġrich er +em aker +ĠIdent ification +ĠìĿ ¸ +ĠBinding Flags +ch as +Ġresil ient +_p g +Ġre leg +ĠI RA +ST E +Ġtr actor +- loading +ĠPre viously +ĠV acc +/ be +Ġn Ã¥r +Ġurl encode +ĠNor folk +.Re lease +ĠNe utral +ä¸Ń åĽ½ +ĠAr lington +Ġalleg es +ĠW riters +Test er +ĠR ally +Ġc á +ĉ Print +Ġâĩ Ĵ +ĠUser Controller +ĠSeek ing +.V AL +List Node +_ ff +ĠPhill ip +FA CT +Ġc aramel +ĠM ultip +ĠCom pared +ĠSer bia +Ł ³ +Ġrev ive +ĠK anye +Ġver ge +ĠBulg aria +get Body +Ġ| > +ce ph +.DateTime Picker +." ;ĊĊ +ĠT ie +, item +Ġm enn +G as +och a +_v irtual +Ġmaster piece +_se quences +L TE +ĠSub mission +Call er +$ \ +S port +ag us +Constraint Maker +Ġcol oc +Ġw ig +ĠÐ £ +ĉ Array +Look s +ĠGT A +.st eps +atch ewan +_r anges +ext Alignment +ĠBren nan +Ġab straction +uler Angles +.m isc +Ġantib odies +Ġexponent ial +ĠCH ANNEL +exp ense +' y +Ġdetect ives +Ġpur ported +Y STEM +Ġradio active +ĠLat ina +.Enc oding +.T AG +x in +D egree +ur acion +pr ices +ĠRefer entialAction +Ġr arity +Ġp iles +g ende +_project s +_g lobals +.start Time +Ġê µ¬ +SE CTION +_p ublish +F ault +DD L +_p rior +M om +Ġth icker +Ġsequ elize +Ġessential s +str as +in tr +>( () +.man agement +e il +éĹ Ń +A ware +.C ity +ĠAr bit +_D M +_key board +L Object +- webpack +ĠNew port +Ġprincipal Column +leg ant +Ġp allet +Ġfract ure +Ġg mail +.M eta +A bove +.Key Event +j it +_mac ro +_P USH +á» © +/ controller +åĬł è½½ +Ġsuperf icial +exter ity +Ġmens agem +W ind +ist on +.open api +и ÑĢов +ĠSerial izer +uct ive +Ġz ar +Pl aces +.St atic +B a +Ġin advert +ĠIndones ian +_IP V +(h orizontal +Ġget Title +ide press +ĠConsole Color +ip ers +$ out +Ġfest ive +Ġeven ings +.Get Data +uit ka +ĠManual s +uss ed +_M ax +.Ch at +ĠA ircraft += com +FO UND +ap ro +Ġtre asures +_al ive +Ġgad get +ek ing +Button Down +B rowsable +.PER MISSION +P ASSWORD +ĠH ASH +f é +\ TestCase +LO SS +o thers +, J +Ġassh ole +wer k +Ġm ã +. ie +ev il +kont akte +//////////////////////////////////////////////////////////////////////////////// Ċ += sys +ĉ lock +-- ;ĊĊ +_F UN +Fill Color +ó a +pre nd +Ġcompress or +M other +ĠAr cher +.g oto +Ġwür de +Ġbam boo +ï¼ İ +ĠT rees +Ġb umper +Ġsa usage +ĠEl asticsearch +Ġhor izontally +ĠG ul +Im mutable +Ġlos er +Ġabort ed +-d emo +ĠH atch +Ġund e +Ġprocess o +-c all +In come +å ĥ +_ returns +']." ' +(s w +C BS +am ilies +ĠYour self +ĠH olt +.M ON +ৠĩ +ÑĪ е +an on +ĠFont Awesome +produ cer +j r +Ġm au +ĉint er +Ġdish onest +Ġmagn a +ĠCollect ive +Ġvra iment +Ġcho ix +st ay +Ġweld ing +r ising +, min +ĠF ate +g lob +RGB A +Ġdet te +V en +Ġembarrass ment +.DE LETE +greg ar +-re nder +(b ucket +"> ĊĊĊ +.wait Key +Bus y +Ġdifferent iation +ĠC ST +.Con stant +Ġline Number +(m atches +Ġweb socket +Ġbar red +Ġpued es +M ono +C ORE +I ID +ĠĠĠĠ čĊčĊ +Ġpúb lico +lean ing +Ġcleans ing +Ġcr is +ĠDev ils +_SET TING +unt ary +. );Ċ +Ċ ĠĠĠĊ +[ curr +ts y +ĠAlex is +rit el +Ġpet roleum +.pre processing +m atter +For Result +- license +Ġtrav ellers +ĠDispatch er +enn ifer +Ġdigest ive +P ED +hib ition +MAS ConstraintMaker +ĠW att +Ben ef +.set View +d to +TE E +ĠPel osi +_EX TRA +Ġmed als +x hr +fore cast +Ġn argin +oun s +-f ill +_CUR SOR +Ġsuperv ised +Ġtur f +ĠEd gar +POS ITION +Ġcategory Id +â ī +_ ER +ủ a +Sh own +. ll +_POL ICY +(), ' +ĠPre v +ĠString Field +ĉG lobal +ass ed +Through out +o stringstream +.awt extra +Ġslo pes +ĠSe quential +Ġgi orn +Ġz elf +Ġvers atility +lene ck +.c gi +Ġdou bling +ĠBang kok +Ġbu urt +Ġusu ário +st udio +Ġje unes +Ġm uted +Ġ ips +_f raction +&& ( +Ġst unt +'); ?>čĊ +Ġev apor +b able +ĠPR ICE +Ġæ ³ +lu cent +Ġv amp +ĠTechn ician +Ġuniqu eness +M es +ur ban +.param etrize +ĠRe play +S essions +em br +-Americ ans +_PRO XY +Ġp ian +Ġtri e +ĠD estructor +Game State +ĠIM F +ch in +Ġport e +ĠSw al +åŁ İ +Sub string +im ing +/L ibrary +Ġfright ened +w rites +Ġrecurs os +ar Result +_INIT IALIZ +ĠBad ge +_c rc +E ight +ĠDIST INCT +Ġth ro +@ Xml +ĠLegend ary +-t witter +_e asy +Ġ+ ++ +(D ATA +.L ocale +Ġk ä +Ġn urt +Ġcr uis +_ ios +Ġsens ing +_L ine +Ċ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ +pon g +ole on +Ġwild card +çĶ¨æĪ· åIJį +Ġbeg ging +R od +ĠÃ İ +_C ELL +Research ers +. selector +_ ing +Ġaspir ing +Ġimm ortal +Ġy min +_ robot +Ġpl ur +B TC +ĠD ID +Ġpier cing +* u +_DEFIN ED +ĠTh i +ita ire +(m edia +- ons +Ġche fs +Ġ"* . +/ AP +Ġraz or +Ġsearch Data +Ġ= & +Ġ ãĢĤ +Ġm ourn +ting ham +Ġo li +ĠVern on +_R S +ŀ æĢ§ +Ġf ácil +ang en +cel ain +Ġa il +le st +ĠQ COMPARE +g ain +ĠÎ µ +ĠK ob +ĠF ault +_config s +ç»ĵ æŀľ +. + +cal ar +(color s +M ul +_ ART +Ġexperiment ing +erm en +ĠAng lo +.Fixed Single +Se a +Ġc txt +.s lider +C ollapse +G rey +Ġf ld +-pro of +.cap acity +get Parent +ĠCom pliance +Ġburg l +- rec +Ġover written +M U +Ġrout ers +ĉ Model +Ġfantas ies +av ian +_p rec +ĠSc andin +Ġ// < +/o ct +Ġceremon ies +Month s +und y +Ġqu ed +ĠN ou +ĠV ibr +.r gb +Ġcit rus +Ġbr aces +-upper case +get Table +Ġdop o +ĠK err +_CH ILD +- cloud +ĉ Matrix +Ġgard ening +S ing +al most +Require ments +ugu ay +( Property +sub scriber +FA ST +re action +(l p +) })Ċ +` ). +.w allet +_ex change +.Max imum +ĠVer b +âĶ ģ +() < +ï¼Ľ Ċ +RO T +C ARD +ub it +{ @ +_k el +ĠTool tip +My SQL +Main Activity +ar f +Ġm align +Ġse inen +ap ist +Ġ< % +Method Impl +M il +ĠM ick +.de pend +< ID +Ġpredict ive +ĠAP PLICATION +le f +dim ensions +Ġconoc er +/ conf +ĠTr acy +F oto +_rem aining += file +Ġpage Index +ĠPar ish +Ġt exas +ĠM AGIC +ĠH ew +d ifference +Ġalt ura +c um +ĉdata Type +Ġcaracter es +avi ours +ĠV OID +è¿ ij +P UBLIC +B io +ĠstringBy Appending +Parse Exception +ĠS uff +ĠN orton +/d etails +.n ull +>> & +ĉ ok +-l ow +. usuario +n ested +X B +OUR S +.Border Color +Ġb row +ĠÐ ķ +cor r +ĠRed skins +.get Tag +.get Transaction +Ġst igma +hard t +ĠPlayer Prefs +als y +uc son +L anguages +ĠOl ivia +Ġt ac +Ġb li +Ġc aval +Ġconsolid ated +Ġper il +Ġde le +Ġform ulated +Ġhigh ways +.sp awn +== $ +ĠN iet +Ġv eggies +yp o +-r ule +ĠV ie +/e pl +Ġenf ants +string Literal +Ġtou ghest +buy er +Ġcov ariance +Ġil i +ĠSoph ie +ĠB AB +Ġ" ), +ĠU k +current Index +_user data +.code c +ĠPun jab +ĠSN P +l ol +adv ance +Ġcom fy +Json Ignore +Ġfashion able +ĠI CON +Ġor a +ĠP ricing +< num +ĠI RC +ER V +ĠMe in +ĠID ictionary +AD OW +is New +ĠDev on +at l +(request Code +ĉ PreparedStatement +IM PORT +Ġmar ital +_SELECT ED +get Response +ar Down +B V +ib Name +ĠP ATCH +ä än +Ġda ar +ĠFile Mode +Ġm arty +.Spring Application +c ene +amp oline +get Size +Rest art +æķ Ī +.project s +ĠEthi opia +Ġstatus es +T ION +(b g +ĠX unit +Temp orary +ĠEng agement +Ġx f +Ġprox ies +Ġgen esis +Pager Adapter +ĠSl ave +Ġsung lasses +ĠCh loe +Ġko ji +ad em +ĉ JSONObject +Î ³ +Ġh ors +* w +ó r +es ch +Ġcritic ised +z ial +ĠSale m +.Vert ical +ĠR ash +> E +ter ing +/s creens +Ġheight ened +аÑĢ ÑĤ +Author ities +_b box +ün st +.font Size +ĠBO OLEAN +div ide +ĠSlo ven +uc er +Ù Ĵ +st ub +Ġnavig ating +: animated +_N OW +_v ect +} {Ċ +@ ( +Ġtele com +Ġcontract ing +ĠAss ange +Ġextract ing +Ġgr ö +c obra +.D IS +Ġcr ab +Ġtw itch +Ġvert s +Ġreject s +ĉ format +Ġreg eneration +.S ys +s olve +ĉd ialog +sh i +m eter +(b est +valid ators +Ġon wards +Ġg uru +Ġmoder ator +ow ied +ex periment +r ub +Ġm qtt +ĠCa ucas +Ġnational ism +Ġm ange +ĉ ImGui +/ Edit +Ġin h +Ġint ellig +ero kee +ĉ export +Ġdiscrim inate +sub tract +ĠM oodle +ens er +ĠGuid es +R AP +-h ot +_gr p +.p icture +X A +Ġinit View +_Com m +Ġoverd ose +Ġ+ ĊĊ +ĠSil ent +show s +Ġinterpol ate +Form ation +Ġb isc +mark ets +( SC +Z e +ĠNetwork ing +Ġad renal +ĠG uns +ete or +Decl ared +orget own +Ġk arena +/ password +_address es +ITER AL +B uzz +ĠCon way +(c ase +P WD +he iro +( act +** čĊ +());ĊĊ Ċ +Ġan v +Ġ. .ĊĊ +(Menu Item +(m ail +_section s +ĉ net +Ġpl ut +Ġw rench +/ object +ĠI st +ĠV IS +/p ub +al ten +Ġguit ars +Ġantibiot ic +ï¼ ĸ + ¹ +Ġ" +" +form ula +Ġbab es +ĠP rompt +Ġen im +/ player +ĉ ref +Ġby Äĩ +Ġconsum es +ĠH ast +ĠT ao +Ġ' ))Ċ +Ġcl am +Ġthigh s +Ġmot if +Api Operation +ĠW L +get C +ĉf lags +oint ments +Ġeconom ical +need le +x ls +pr actice +ut zer +time ofday +- output +Ġfind ById +ĠBudd y +Ðŀ ÑĤ +Se ven +ĠB ark +Ġenv oy +_al gorithm +åĪ © +Ġball istic +ç§ » +r ades +ĉd oc +rodu cing +ĠE ating +Un mount +/data Tables +_b onus +Ġl itt +pp s +) localObject +per f +ĠHel vetica +sh utdown +/ ml +.t okens +ĠHard core +, row +/b g +Sc aler +âĢĶ as +_log its +âĢĻ int +ĉ App +Imp licit +.F printf +ET O +Ġterr a +Ġpossess ing +.r strip +, ), += yes +ĠStr ipe +? = +ne utral +.g ood +Ġk ennen +ĠS ung +f ault +ystate change +Can adian +',' ".$ +ĠM its +æ nd +ĠSTR UCT +ĠURL WithString +ĠCom pass +Ġ-- ĊĊ +ĠNS LayoutConstraint +| min +-ad just +Ġreb uilt +L IGHT +/ se +-m ount +vp n +valid ated +(Q Object +Ġign ition +ĠCharg ers +RYPT O +]initWith Frame +ĠFl uid +Ġcad re +Ġnomin ations +Ne ill +ĠH ou +Ġcurrent s +_g ene +(in p +Par is +z ÄĻ +ag gregate +Ġass oc +weet ed +err at +âĢĵ ĊĊ +Ġ'/ ',Ċ +fix ture +ĠH ighest +amb ient +Ġch mod +Ġcon te +Ġsens ual +Ġgar ment +z ers +ĠPower ed +dom ains +R eward +i omanip +Ġcock pit +out file +Ġbuilt in +Ġins isting +. vars +zip code +Ġ ���� +f ails +Ġconsolid ation +_ oid +Plan et +Ġ= ", +ĉ el +UIL T +ät z +af ari +ĠMc Cl +Tim eline +Est a +Ġfr am +Y E +Ġcere bral +Of Month +ĠP regn +Ġкл аÑģÑģ +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ +ĠF res +Appro ved +.S pecial +ĠProtest ant +Ġallerg y +_p cm +ĉC opyright +Ġsuper Class +" strconv +ĠMoh amed +Ġ' // +Fore Color +Ar thur +ĠJ ungle +Ġve ins +S ad +Ġback ups +ĠOp inion +û t +Ġinter mitt +ody n +ĠChrist ina +Ġand re +Ġevac uation +pa lette +h orse +ĠRes ident +ĠHass an +.N il +Ġa isle +ĠG rowing +Ġblog info +/s ql +_io ctl +Sc aling +ĠMon ad +_c pp +ĠH utch +ĠApple WebKit +Exp ense +_J OB +Ġpoint less +From Body +ant al +Ġdepict ing +ĠC ELL +Ġref in +ĠC NC +ì¹ ĺ +_dim ensions +ĠS AN +Ġa ft +Ġfoot steps +cc oli +_PH ONE +/m ath +-k ind +ĠMe ans +ich ael +.g una +Ġinaug uration +-dr iving +( delete +Ġtotal Count +_M C +.Ext ension +Com mercial +Ġz Index +< Customer +" g +-sh are +Ġp act +ag ara +ĠS IL +_m odes +ĠM olecular +Ġsystem atically +< G +_s cr +ĠO ro +as ers +Ġb ic +Ġdest roys +PI PE +.Start Position +Ġc ủa +ire z +.B unifu +_F unction +Ġs ü +_f uture +ĠWe alth +ĠNatur ally +æĢ » +_y es +Ġabrupt ly +String Encoding +ĠCGPoint Make +Ġz h +Ġimp erson +Ġpiv otal +ĠSom alia +Ġsegment ation +_AN AL +ĠLogin Component +Cons ult +Ġtr uncated +] ";Ċ +.get Config +Ġintern ship +B aby +ê° ľ +Ġstrengthen ed +_M I +b asket +Ġnicht s +ĠTV s +ĠSh an +ãĤ µ +rac use +.Re LU +/ interfaces +ĠgetItem Count +Ġret iring +Ġspecial s +Ġentity Manager +bel ief +Ġs older +da ughter +ij kl +Ġutil izes +.f ixed +S U +Ġdr astic +Ġh acks +gr und +ĠM U +ĠSt arter +.Com ponents +_m otor +Gold en +Ġl odge +Ġ )); +ĠCor inth +иÑĩ еÑģÑĤво +ón ico +gre SQL +ĠFl uent +Ġmar c +.Load Scene +.Group s +Ġer h +ĠAut umn +St opped +Ġitalian o +Ġmin ions +ĠAssert ions +Ġm ux +B u +Ġ---------------------------------------------------------------- -------------------------------- +ĉ up +read ystatechange +_M eta +Ġcurrent Date +ĠChap man +Und o +Se an +ap r +Ġpar m +_ icons +ĠSt a +á z +Ġsub division +Ġalter ing +P NG +ponent ial +Ġpost gres +ĠB DS +-ex istent +ĠBrad ford +ĠO MX +_W HITE +_PRO GRAM +q c +Ġtypings Slinky +ĠP ics +_M ETA +IT TER +_sub scription +IRON MENT +ĠHy undai +();ĊĊ ĊĊ +ĠØ ³ +Ġj ac +Ġelimin ates +) });Ċ +Ġcomp rend +ĉ insert +_f aces +"> $ +Ġeb ay +Ġcapt ive +pl iant +ĠCalcul ates +ol ta +est ing +_re vision +Ġm ús ++ m +"," "," +WH AT +Ġcompassion ate +h arga +[ random +Ġmod ulo +(s n +Ġoccup ations +//// Ċ +ĉ board +ĠB alk +wi Äħ +ĠW ifi +.Pro file +:m aj +ĉm at +LOCK S +(j Button +Ġ(' $ +M ur +æĮ ī +b ble +Ġf rog +-h ide +Ġbroad caster +ภŀ +ha led +Ġam using +_predict ions +_in tr +Ġe agle +аÑĤ елÑĮ +Ġget List +ps ilon +Ġcharacter ization +AR DS +Ġre location +Ġr ulers +P AY +ĠDef initely +_A ction +Ġclos ures +Ġfact ual +odyn amic +Ġpreca utions +nie j +ĠPart ies +ĠSub aru +Ġcous ins +ar beit +.m oney +gun ta +( and +get item +.Style Priority +Ġsl id +single ton +Ġg arn +ĠP AS +Ġd azz +a ż +Ġbog us +ĠM og +Ġrival ry +is ol +Ġland marks +ñ as +B ern +ĠSach s +Ġ" )ĊĊ +Ġhost ility +_m ex +m ere +M ot +p ictureBox +Def ense +Ġaffid avit +other wise +.d irectory +_ UnityEngine +-b log +.s kin +ph em +Ap ellido +er chant +[ class +Ġw art +." [ +ale ur +/ back +ĠĠĠĠ ĉĠĠĠ +Ġprecip itation +Ġob struction +Ġp Obj +Ġr upt +UCK ET +ay e +æİ Ĵ +g x +Ġe cl +Ġsecre cy +/ Header +ĠLes b +Ġle i +ĠBullet in +Ġgive away +.H ome +_RO OM +" W +Ġcow ork +_ ra +ĠC ycling +ĠP aw +Ġpup il +/ arch +ĠFile Utils +é¦ ĸ +r sp +Ġfreed oms +ĠL ear +}` ). +Ġbow ls +/b lock +_log ging +Ġmeth ane +Ġhorn s +Ġwonder fully +Ġalter ations +Ġex ile +ls en +_p ause +_L ANGUAGE +ĠUS DA +_m ysql +_AM OUNT +ĠL IFE +Ġyoung sters +Ġri ots +[ E +Ġun forgettable +, },Ċ +Dis posed +ĠAss assin +UN G +ĠNew sp +User Service +: aload ++ ', +Ġsett lers +Ġscre ams +Ġincon venience +.R otate +Ġj ars +ĠP uzzle +Ġm est +ars i +ĠSh arma +| ( +.d s +ĠSac red +_e vt +Ġexpress es +Ġh och +ĠD uch +.c alls +th r +ĠShe ffield +.Alert Dialog +Ġrad ically +Ġtr ous +Ġprev ailing +ĠWW II +âĢĻ n +ens ely +ĠY esterday +ĠSir ius +Ġkill ers +ĠF FT +Ġo val +') :čĊ +Ġìłķ ë³´ +our age +ĠCheck box +Work book +.def er +_f loor +Ġc ouncill +Ġnors ke +mo il +ore a +Ġmarket ed +_S UR +x AA +Ġst ained +e ut +ĠM eng +Ġi eee +. extern +eg ie +Ġr app +ĠPy ongyang +' class +M ob +Ġinitial Value +_w ave +Ġj ab +Ġmascul ine +Ġampl ifier +Ġt ty +Path Component +_ xt +ĠG FP +/ sec +ĉdis patch +mark down +ĠS chn +bo le +· · +mouse move +Ġerr Msg +Ġas ign +_m ono +To Selector +ĠZ u +(R ect +ĠError Code +lat in +ang ible +v tk +CG Size +P okemon +Ġclass mates +Ġattract s +ĠT atto +ult an +ol óg +Ġhalt ed +ठ¨ +ĠK art +Ġ ue +_Init Structure +Test Class +ĠAir bnb +_ ", +Ġchar coal +Ġip c +ĠSt retch +.g lide +lates AutoresizingMaskIntoConstraints +Ġpot ion +ITT LE +Ġcount ert +_h d +pre pared +Ad s +ĠV ampire +rob ots +.Create Index +Status Label +Ġt ucked +af ür +U t +Ġswe ater +_F N +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĉ +ata ka +Ġeyeb rows +ac oes +ud en +.LinearLayout Manager +Ġsw ay +Ġmult in +() )))Ċ +ĠNS UInteger +ĠMy Base +Part ner +uts chen +ĠC ater +.setBackground Color +Ġaccompl ishment +_pro blem +.d td +Ġpage Number +Ġj ackets +Ġcro pped +u els +ĠH ep +Ġc apped +* Math +_callback s +Ġpub b +ĠBrun swick +.res pond +[" _ +Ġbed ding +hyth m +O X +(s peed +Ġpestic ides +Ġ---- --- +.Bl ue +Ġnood les +ĠGo es +Ġs aver +o xy +_com pletion +ĠSw inger +Ġget Date +Ġmind ed +int egration +ĠLot us +(st op +(', ');Ċ +Ġflood s +ĠWork flow +Ġerupt ed +Mac ro +ĠSau ce +Ġevent Name +\ Input +Break ing +ĉ when +_p w +IND ER +ĠWell ness +Ġvox el +ĠM ell +ĠM EDIA +SE NS +ĠFund s +ĠM ild +< Array +- this +ump ed +/f w +ĠDb Context +W I +girl s +H OW +'); ?>Ċ +Ġtempt ing +Ġtest ament +Ġb ible +Ġconsult ed +ĠIndex Error +è¨ ĺ +Ġkey pad +izz o +( ok +Ġwhats app +ĠRemote Exception +Ġteam ed +âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ +» , +Ġget Time +di ag +iss y +Ġh ed +Ġkn ots +j om +Ġfun nel +-m ails +Ġexport ing +ĠV L +ĠK arn +ĠBuddh ism +ĠAll an +_R ADIUS +Ġw ording +ĠFor get +ĠCor ona +ip hy +Ġlim burg +ugg y +ĠUser Repository +im in +(e le +Ġlabel led +ç¤ ¾ +ĠH erman +.q q +Ġ" ));Ċ +ie ber +.Trans late +ry n +Ġdes env +um d +Sim ply +ĉm ode +R pc +ĠVal encia +Ġstaff ers +Ġsel v +ĠSpi ke +Ġdel ic +Ġer u +_D T +J udge +á» ķ +ĠBas in +.m utable +" url +Ġtar iff +ĠSlee ve +Ġfl are +.drop out +Ġbr ides +)) ,čĊ +_con straints +de struct +Out line +Ġdisappe ars +_lock ed +ĠNS LocalizedString +ck e +ĉ null +ad resse +Ġto pping +ĠJ oker +b ishop +но ÑģÑĤÑĮ +and ering +_ amp += time +_S pace +_P ULL +' = +Ġant iqu +Ġc ach +___ ĊĊ +ON ES +о Ñı +Ġun read +.p olicy +oooo oooo +ëŁ ¬ +Ġu sted +ĠRe ce +Ġal lem +ãĥ¼ ãĤ¹ +ĠThought s +ve illance +istr ate +_l ane +Ġfam ed +.Get Name +Ġsmo other +ĠQual ified +az ers +_ geo +F ax +ĠM inds +ĠR aises +Ġtrans cripts +Con versation +Ġremark ed +ëĤ ĺ +d ling +Ġdeploy ing +Ġshared Application +Ġk p +FontAwesome Icon +_d ummy +reib en +ĠJane iro +Direction s +.get Bean +s ass +Ġcommand ers +v ation +error Code +ĠAl loy +.local ized +Ð ij +Ġdish washer +ĠSou p +N u +_D efault +Ġune ven +Ġ/> ";Ċ +-B ased +Ġseam lessly +- null +ĠX C +Ġst ew +(d elay +AT ORS +ĠWhe eler +" H +e ast +. air +âĢľ But +Object Context +success fully +_l and +Ġfold s +_CO ORD +Ġsub po +.get Address +in str +Material s +Ñĥ ÑģÑĤ +de posit +-l ast +_GR AY += find +Ġmut ant +Ġlesb ienne +let cher +RO UGH +ure ka +.c apture +Ġen n +Ġ([ [ +ĠFl u +Ġtask Id +ĠHus sein +.f older +Ġa usterity +ISTR ATION +_ Impl +注 æĦı +Ġdec ree +- chat +Ġimp lication +Ġguess es +ul kan +An alytics +. plus +COM MAND +е ли +» ĊĊ +_S ITE +Ġequal To +Support FragmentManager +ĠRec ording +å®Į æĪIJ +Ġbag gage +Ġpitch ers +ĠE h +o que +ĉc nt +Ġ=> $ +/ foo +IR A +ĠSat ellite +bor ah +Ġ}} "Ċ +ĠEnd s +ĠSpr ay +, param +.Ch rome +* q +th ought +ibr ated +Ġth ieves +Ġbenefici aries +Enter ed +ottes ville +Ġveter in +By ID +qu ipe +um ption +- unit +Execution Context +@ s +ĠG iov +.Tool Tip +_f riend +( attributes +Ġdump ing +ĠJ C +_D OCUMENT +ĠArm our +( insert +.Horizontal Alignment +ĠQ ed +ãģĦ ãģ¾ãģĻ +/g it +ĠY YYY +ĠCard iff +Ġap a +organ ic +ĠWhere as +Ġæ Ŀ +ĠM ia +Ġdemol ition +Ġsc ars +Ġp ai +Ġre tries +Ġr q +ĠDen is +( Utils +Ġallev iate +ĠP IC +id ue +Ġacknowled ging +Ġ// //////////////////////////////// +ç¡® å®ļ +Ä « +\ Json +.b inary +Ġx type +sign als +ĠAp pearance +& r +} s +C i +ĠI llum +por ate +h og +Ġindex Of +\ Command +_par allel +ĠSher lock +í ĥ +Ġ" ")čĊ +//////////////////////////////////////////////////////////////// //////////////////////////////// +Ġcritic ize +ĠSo ap +ĠMatch er +Ġgr illed +* T +Ġad ore +ull ing +Ġjed och +_ref s +lean up +ĠJ AXB +Ġro ses +ĠL iam +size i +Ġget char +Ġtar de +-to oltip +Ġqual ifier +ĠInter mediate +_W indow +ĠMal ta +Dis connect +ew here +Camp o +Ġirr ational +led o +ĠD N +ARG V +Ġout ro +Ġth irteen +Jose ph +M AR +/g l +J ess +ĠPsych iat +Ġpadding Bottom +- loop +/ fonts +_se en +Te ams +React DOM +(m an +(x path +.get SimpleName +>( * +ĠP vt +Ġel ders +Ġp ies +.user Agent +- region +ĠGree ks +(f ragment +st u +Ġcouncil s +Ġst amina +ĠGod dess +è ¥¿ +Ġphilosoph ers +Ġpers one +ĠL ose +ĠCL R +ĠD ocs +Ġso ak +ĠHOLD ER +Ġb ells +hash Code +R ATE +_WE IGHT +in ous +end ra +oph obic +Ġpro se +Ġfin ely +/o auth +(s pace +ad ge +ĠM ama +Ġstring Buffer +Ġst int +Ġmis ma +Ġvill ains +ĠCrime a +Ġdipl oma +Ġпо Ñģл +ĠBe a +(j oin +Ġíķ ´ +CH AT +per ing +ĠC ros +Ġmon keys +Ġpred s +yl a +,, , +Ġvibr ator +ĠN U +åħ Ī +f ant +z et +Ġb ietet +un ft +sw orth +.F low +Ġpsy ched +ĠContin ental +> t +Ġqu ilt +. UP +Ġexpans ive +Dis pose +(l anguage +C aps +_Z ONE +Ġrec ycle +ĠMan aged +current Color +.b roadcast +sign In +.p rom +ll u +ue blo +Ġpunch es +Ġautom at +Ġassign ing +Ġcreate User +ĠAll ied +Ġconduct or +Ĥ ¨ +Ġs addle +Ġd ni +omed ical +-W est +Positive Button +Ġit alic +? [ +(tr igger +Ġele phants +":" "," +Ġcal iber +raft ed +d igits +Ġmar shal +mill iseconds +mark ers +m om +/ place +Ġhol istic +: t +# , +Ġb oto +Ġnause a +ĠSh ooting +ite ch +Ġtext Status +< Class +ĠDes cribe +Ġbuff et +g il +Ġlog its +std call +mod s +ĠSk ull +ĠB are +h ope +ĠIn tr +F air +ĉ pt +Ġacompan h +Ġf kk +_r pc +Inst alled +_ ans +.get Minutes +âĢ¦ "ĊĊ +- thread +Ġpres chool +AIL S +Ġdiff ic +( convert +ĠN ath +ĠDO J +Ġreg imes +Ġenthusi ast +Ġwarrant ies +Ġfasc inated +_b inding +_N ot +oft en +_R W +/m ail +Ġtitle Label +Ġvill agers +ĠJ iang +Ġsw agger +.Row Index +_img s +rap y +VER AGE +. Up +Ġno op +c io +ĉ ST +Ġdecre ment +Ġmagn esium +_ rotate +S it +Ġnieu we +Ġter med +íķ ©ëĭĪëĭ¤ +Ġur g +_t ouch +Ġsw arm +Ġcl ave +th est +ĠL af +H X +ĠH ulk +Ġplaint ext +ĠSof a +get Session +L ed +Ġecosystem s +he i +ĠK ills +Ġhus bands +Ñħ ÑĢан +(d om +_t iles +Nib Name +Ġdon ating +. acc +Ġlifes pan +.b n +_RG CTX +æ ¥ +ans en +Ġmod elling +Layout Params +ĠonChange Text +rs a +- location +.P e +(b us +(s ong +Ġprodu k +ĠSH OULD +ĠC J +Ġs os +ĠHome Controller +.load ed +(D ocument +.s ocial +t iles +Ġl ame += df +.parse Long +Ġpr ac +Ġdet ox +ĠV E +Ġpunt os +Ġdo ctr +Ġan cor +CA PE +Ġc mb +çĦ ¶ +*) " +:// / +Value Type +Ġmort gages +; q +ĠRock ets +s port +UG C +ct s +ãĤ ģ +ie ur +ĠAppe al +(n b +//////////////////////////////////////////////// //////// +IM ATION +ĠC res +ĠMan ip +C ause +at ypes +man ufacturer +# ---------------------------------------------------------------------------- +Ġsp or +es on +Ġpun ched +Ġbook marks +ĠBul k +Complete Listener +ĠTalk ing +ĠEr nest +Ġrub bish +k ills +ĠDE FIN +Ġneighbour ing +ar lo +ĠP CA +ĉm atrix +lo k +Ġat las +ĠG ur +Ġw yn +-n egative +Ġt ul +Ġre lic +ĠV oltage +ĠPre is +ĠJ NICALL +ĠPM ID +ak et +ĉ attr +Ġet iqu +ĠM J +ĠG mail +cl r +_exec ution +éĶ ® +pos itor +. af +N r +Ge orgia +Top ology +Ġperch é +Ġmus lim +Ġepid emi +Ġsab ot +act us +Ġë ĮĢ +ĠIO Error +. est +p refs +ĠKr ish +.Read Key +NAS A +u ção +_D b +umer ator +W ide +(st atement +.end point +.... ..... +Ġ[ * +stream s +m time +P x +at r +Ġt pl +R oman +Ġscen ic +.n z +ĠSe conds +sub menu +Ġìĭ ¤í +_b undle +Ġde ÄŁ +ĠS isters +pre ferences +Ġport a +Ad visor +max Length +ĠG REAT +__ (Ċ +ole st +ĠLabel s +Ġen fer +ĠĠĠĠĠĠ ĊĊ +ĠThe ft +_F ILL +ĠW ise +) application +un ami +> ())Ċ +ADD RESS +B ST +et zt +ĠQ gs +S ense +Exception Handler +ĠCh u +.get OwnProperty +Ġexerc ised +iot ic +ĠRe leases +Ġp interest +ol ie +is oft +Ġsequ encing +Ġpad re +] ));čĊ +(r adius +.m ed +aint ies +.Object Model +Ġem ple +Ġseg uro +St ars +Ġqual itative +lem n +á» ± +> "). +Ġg x +-c ert +ĠAST M +Ġfull name +Ġte lemetry +ĠCamb odia +_ ul +ĠCl are +C USTOM +Q C +ĠUn s +ĠHTTP S +ĠPark inson +ancy box +',' . +T ue +.get Last +Ġab i +Äħ d +A st +ĠEd iting +.Un ity +j mp +Ġm ats +Ġshared Preferences +Capt ain +.page Size +Ġr tl +Ġan meld +Runtime Object +Ġdemand e +(" ; +se ite +-head ed +ĠK ra +ĠF ONT +` \ +Class NotFoundException +. avg +atic al +A j +Ġpermit ting +Pro j +ERR Q +Ġcre ampie +ĠBuy er +-mod ules +ĠSund ays +| `Ċ +Ġday time +Ġ+ ( +Ġgl itch +ĠOper and +Ġtox ins +iny a +D NS +ĠS as +C ake +ĠNation als +.add To +Ġs inking +Ġcompreh ension +Ġsc or +ag ements +Ġt ard +Ġmarch ing +ĠM TV +Ġs ane +Create Info +Ạ¯ +Ġend Index +ĉ layout +ĠåIJ į +S ITE +ĠT HERE +Ġ[ {' +opath ic +Ġtrans mitter +/ body +Ġp und +ĠC losing +Ġset attr +Ġbound ed +At las +sum ing +(t imes +par er +yn om +fe it +Ġf rem +- leg +ĠBr as +> # +Ġì¶ ľëł¥ +ĠIN STANCE +ĠC ouch +_host s +lik elihood +.M arker +ĠM asks +Ġcere al +util ities +Ġelement al +Ġdist orted +in active +c ry +W L +UPPORT ED +.Th rows +/s chema +ser ie +." ', +ĠBened ict +-p icker +ig gs +ĠPir ate +åij¨ æľŁ +ĠTh ema +ĠSouth ampton +Ġarray With +ĠPaul a +Ġpredict or +- Ass +.user id +Ġper i +Ġexagger ated +ur ate +arse ille +ĠCon cent +ĠP ik +Ġ@ _;ĊĊ +Ġform ations +Ġden omin +"/> .Ċ +ended or +Ġpan cre +Ġam t +Ġon Resume +on Delete +ĠB CH +) (" +m ovement +Ġpot assium + čĊčĊ +ĠMah m +} ";ĊĊ +Ġd q +ĠPublish ers +ĠAm pl +ĠDani elle +Ġt ern +èµ · +no ÅĽÄĩ +e in +ĠAsync Storage +un ger +rou w +Ġsc issors +/ assert +.b ucket +/ archive +_M an +Ġint oler +Ġ() => +ĠÐĴ Ñĭ +Ġsa i +.x y +." čĊ +Ġur inary +es ub +IST ICS +ĠÎ º +Ġcompl iments +Ġtypings Japgolly +ih ar +Exp ansion +ĠS erving +_st udents +ĠX BOOLE +( il +Ġì² ĺ +Ġj ó +(t ol +( JS +ĉC G +ĠD RAW +tw ig +Ġo at +_sm ooth +ĠC SL +Ġos ob +Ġens uing +Ġbank er +ĠBack pack +_p ing +Ġwish list += ax +ĉĠĠĠ Ċ +Dis ney +stead y +"> % +Ġproph ets +ĠZ X +Ġminimal ist +.PL AIN +Se attle +. ordinal +ĠPI PE +Ġret orna +Ġjug ador +ĠB ret +ĠâĶ ľ +Ġpl ush +UL ATOR +Sort ing +.grid y +ect omy +_ activ +r ack +Inter active +ĠAntar ctica +Ġv engeance +en so +_k nown +up plier +.Mod ules +ĠConnection State +éļ IJèĹı +@ FindBy +Ġpl acer +\ model +< ()> +.is Successful +-g ood +b z +ĠDr aco +Ass istant +-ex tra +аб лиÑĨ +Ġhyp ocrisy +Ġt st +ĠA gr +$ txt +Ġlog istic +lic ensed +ĠH of +Ġt at +( iv +Ġinto xic +post Id +_st rike +Ġhum iliation +pc odes +" sync +(rec ipe ++ N +rent e +ĉ Client +ycop g +ĠZur ich +ĠPro files +C ountries +Ġp ict +Ġroll out +requ encies +Ġpatch ed +Ġcar tridges +Ġsh ading +J ar +Ġsalv age +ĠTax es +Ġstand by +apor an +E igen +. angular +ĠN ested +äº « +Ġis Visible +ĠDw ight +_BR ANCH +.D elay +Ġk end +Ġfacilit ated +.flat Map +Ġs anta +ĉS end +/m essages +Ġof Type +ĉs wap +# plt +ĠTur ks +N ES +Ġprogress ively +ĠRes idence +ĠT REE +Ġno en +d io +Ġn elle +Ġsog ar +itt i +week ly +Ġambigu ity +_Set tings +W are +.ne o +_D ST +Ġæĸ ¹ +pre p +lob by +@ email +/m ovie +Ġfun kc +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ċ +ÂŃ s +Ġguard ians +- pos +Ġconfig uring +ĠC PS +ĠDe us +Ġvidé os +_ empresa +Ġsl apped +< Model +Ġunders cores +U h +.access Token +SET S +ĠS parse +ĠCal d +: path +ĠS ervers += batch +Ġkn itting +Ġx a +Ġsearch Bar +Ġsn ag +Ġinf used +.b am +le ver +Ġtax onomy +Ã İ +Ġatt aching +Ġh ern +_N OP +Click able +(P arse +ĠDynam o +-b uilder +Ġdere g +Ġsc attering +è¿Ľ è¡Į +an zi +ĠShe pard +"> ',Ċ +_X DECREF +ĠBuzz Feed +_M ARGIN +P LOY +.sm all +Ġm imeType +Ġh olog +ĉc amera +li as +Ġsusp ense +ody nam +b au +Ġgrave yard +_n amed +":" ' +Ġ******************************** **************** +Ġgame Over +ĠLENG TH +ĉs creen +Ġdo InBackground +_depend encies +Ġr tc +/ up +_ ROM +H all +Ġdef iciencies +( te +' # +_e quiv +Ġpre order +ĠA xe +ом Ñĥ +.send File +Ġfil t +ĠLim its +ĠCaval iers +.dis count +âĨ IJ +ĠW it +QRST UV +Ġi j +Ġt egen +Ġ: ", +diff iculty +p unkt +ĠEmail s +ch lor +(f un +.U int +ĠSt all +_ verified +u D +File Type +Ġple asures +Ġjud iciary +Ġsh am +ip ur +_PL US +off ers +( foo +_G T +ĉc ore +ENT ION +ĠLib eration +Command Line +_de partment +.A r +_ne ighbor +ĠSub mitted +ĠĊ +Ġdro its +Ġhomosexual s +Ġab duction +ĉw idget +$ headers +ĠD AR +Ġfl a +th reat +Ġlou is +.Get Property +" Just +(f rames +ry o +prof ession +| i +íķ´ ìĦľ +(s v +Ġun recognized +I onic +F ashion +Screen State +ĠIn coming +Not Nil +Ġsync ing +em ie +Ġtherm o +_pro cs +Ġincons istency +rel igious +.m j +Ġperson n +Ġmoment os +or arily +Ġæ Ĭ +_ne urons +Ill ustr +im oto +il ik +ĠW oj +Tr ading +Ġapp are +Ġentre prises +ach at +Ġ ¬ +Ġne igh +BUTTON DOWN +ĠMah er +ag han +-h ash +" f +Ġclient ele +.add Button +ĉ SP +Q i +Ġgr ated +POS ITE +: > +ĠHow ell +ĠCompar ative +ĠIS C +ÂŃ i +O cean +D avis +ĠFil me +W ins +ĠJ IT +oc cer +ĠC orm +ENCH MARK +rch ive +ica ção +Ġm ata +Ġchild birth +ĠOption ally +En s +Ġx http +Ġel ucid +_Osc InitStruct +)) ):Ċ +Ġint uit +ĠDon ate +Ġcorrel ates +> Delete +Ġequ ipe +Ġb oca +Ġinfl atable +er ah +ĠDateTime Kind +Ġcal ves +\ Lib +Ġem lrt +ĠTr ilogy +ĠP anc +ĠD uis +ĠpelÃŃcul a +WAR DS +_DE TECT +-section al +dh cp +For Row +-de struct +ĠPres enter +/s lick +, on +ĠCit adel +logged in +_sub type +Ġsig ue +Ġc uring +ĠFire wall +Ġfluores cence +ĠItal ians +иÑĤ ÑģÑı +.get Style +In Seconds +j ie +-S mith +Ġx link +Ġsub missive +он ÑĤ +arbon ate +ĠF aul +_go als +ĠCommission ers +chart Instance +_POST FIELDS +Ġmed ial +Ġman os +Ġdel t +sv m +.Ap is +ep hy +Ġasym pt +Ġapp Delegate +Ġimpro bable +ck a +sim d +/ Error +. âĢĵ +ĠP TS +de er +Ġs ina +m agnitude +ID ADE +'] }' +Ġmay ores +ĉ comment +/ console +" @ +v olt +.s ell +ĠM acy +Ġmel od +Ġim ágenes +_ch g +Ġin out +ident e +) '),Ċ +d ni +.b lob +Ġtyp ography +Ġe erie +_O ID +pes an +aj an +Ġch opping +Ġbl uff +ad f +_b ases +.Form atter +Ġ\ % +ĠPage Info +Car rier +ĠCal ibration +com o +-b odied +Ġfinanc ier +ĠIN A +. ERR +Ġhood ie +ĠSan ity +gu arded +.opend aylight +ISM ATCH +High lights +ün k +ani em +anger ed +assign ments +Ġregistr ado +ĠU PPER +ampil kan +ash ire +ĠNik ola +ĠC FL +ĠH DC +Ġp oids +ĠIP s +Ġprevent ative +ips oid +if ix +.c amel +.g a +V olumes +- ste +Y ahoo +_s ibling +H ighest +opt group +Ġkvin na +âĢĿ ãĢĤĊĊ +ĠAppl iances +Ġ" >< +') ")Ċ +ht t +ĠIdent ified +Ġpenc ils +Ġmember Id +Ġappend String +.load Data +Ġmock Mvc +Ġj ub +ĠSl ut +ĠTai pei +st att +Pol it +Ġpart ager +Did Change +Incre ases +) }. +ĠB aba +_CL IP +[ unit +Ġк лÑİÑĩ +Ġalc uni +ĠL ola +Ġcl inging +@ PostMapping +(con cat +Ġss id +ĠFa uc +ok it +ĠRecord ed +á lez +($ ('< +.assertIs Not +Ġk ali +V olt +Ġwarm ly +Ġsca res +get ti +füh rt +_d oes +. EMAIL +im ations +Ġspring fox +ĠDec om +arc y +Ġgl itches +ĠM off +ĠV oll +.b etween +Ġcoord en +ĠPart icularly +GB P +Ġsem ble +East ern +_M SB +]) {čĊ +m organ +ĠE VAL +d ere +HO USE +mo ire +ist ique +_l stm +-com mit +yster ious +Ġtw ink +-th umbnails +en ÃŃ +:' ', +Ġblack out +ĠFlo ors +Ġso fas +Ġou i +lesh oot +ĠRa q +- abs +Ġk ra +M ining +sha ft +.set Columns +Cl azz +PRE TTY +.play list +éĸ ¢ +-Sah aran +M ING +ĉ bl +è® ® +j f +DO CKER +hope fully +( ignore +ĠUsers Controller +ĠMitar beiter +ĠL ES +Ham ilton +-m etadata +ĠK K +ikt ig +Ġwoll te +egr ator +] bool +, current +Ġvalue Type +Ġexcav ation +ol and +Ġv erv +/file path +Auth Provider +Ġpro crast +ĉ ULONG +_MEM BERS +Ġup lift +ĠAut onomous +Ġart works +ĠOut reach +Ġp ore +Home page +Dialog Title +ĠGener ating +PAR SE +Ġsem anas +Ġhuman o +JSGlobal Scope +Ġvol te +Ġb ella +(is instance +Ġpl c +\C atalog +Ġeste emed +éĽ · +(s uffix +Ġswe eps +ĉ ORDER +Ġdo ivent +ĠSw arm +ĠComp iled +get Page +AD R +.R ichTextBox +ĠN aming +ag ged +ĠG ANG +r asing +ode led +Ġg ala +ĠJS Name +dd f +Ġill ust +ĠLans ing +[ port +-de ath +Ġdin heiro +ĠE ighth +Ġb ian +st Ã¥ +Ġvers ión +ĠLinear Gradient +ĠHard ing +. *) +ec zy +$ header +Ġv Ã¥r +Un checked +Ġko je +ĠPal adin +() )), +G iving +() })Ċ +Ġd ips +F riendly +Ġport rays +Ġhel ium +Ġinsurg ency +_ex piry +ĠstringByAppending String +Ġa antal +s lope +m ast +.get Integer +Ġ################ ######## +_PIPE LINE +Ġdens ely +Ġmut ating +m idi +ĠSe it +ay ne +NOW LED +ĠDes mond +ĠF Name +ĠN airobi +\ Context +Ġcalc ular +-d en +Ġc ott +] ):čĊ +ĠRecommend ation +ĠRole x +Ġvalidation Result +.p at +Ġn Ãły +ĠRest Client +ĠG PI +ĠAshe ville +ĠO SP +ĠPER MISSION +ÐĶ аÑĤа +/ notification +K night +_W ord +ĠB ender +rank ing +Ġpart ida +_res ervation +Ì Ģ +Ġm Name +Ġget ch +Ġb orr +Ġdilig ent +Disc uss +æŃ£ åľ¨ +ape ake +ion ed +-N azi +.c um +ĠK ron +=$ ('# +/s ingle +Ġerot isch +ĠV ib +Ġrat ified +Ġconcert ed +ĠREG ARD +Ġdo br +.Driver Manager +' r +Port able +ĉs uite +Ġrel aciones +ĠD op +emplo i +DO B +Ġcr umbs +Ġx ls +_App lication +(': ', +Ġ---------------------------------------------------------------- --------Ċ +m se +Ġber k +ĠReturn Value +ĠBel ly +Ġcam ar +ĠPe ek +els ing +Ġnot ifies +ĠTr istan +ĠG AR +em me +ĠElev ated +_C SV +(ch alk +Ġtw enties +ĠSearch Result += search +ĠMix ing +ý t +Ġrecru iter +ĠIDE OGRAPH +ĠA go +( Operation +$ values +Ġworld ly +ĠRosen berg +ĠConfigure Services +>* Ċ +Ġsn ork +_op acity +ĠinitWith NibName +i ado +A AC +Ġ] ). +; z +_par agraph +Ġnos es +stand s +if r +_m E +I raq +.P redicate +ena ire +]] ];Ċ +Ġun idad +Ġretire es +_h ello +Ġmode le +ĠUIT ableViewController +f write +_num ero +_vis ited +Ġrece be +( Notification +Fant astic +_sub menu +ĠP EM +ĠCup ertino +approx imately +class ed +.Read String +Ġdomic ile +_P W +Ġball park +ĠK ale +con tra +_f avorite +/ of +Qu ite +ĠOT A +Ġacceler ometer +did n +| ^ +ĠRohing ya +ivic rm +ann abin +обÑĭ ÑĤи +or ado +') + +Ha unted +, ID +( UIAlertAction +ur v +_b el +ĠMex icans +/ terms +ĠPaint er +Input Label +ĠV inci +ĠRos ie +\ uc +< Menu +Ġcool ant +(current User +_d ual +) "},Ċ +& p +Ġconver ged +Ġrestr ain +ĠYugosl avia += target +Ġimp uls +ds a +Search Tree +Ġh box +ĠImp ress +§ Ãĥ +get FullYear +(d a +ĠY YS +.al ignment +.Get Text +.token ize +ĠOlymp us +Ġmur ky +ore station +Ġdiss atisfaction +ĉT Array +_ kses +.Add Singleton +ĠStart Time +Ġfan atic +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĉ +Ġentity Type +. override +Ġ ------------- +ĠDat agram +f out +(with Id +Ġ# __ +Ł èĥ½ +ek yll +.f riends +ame leon +Ġz ach +.simple Button +ret orno +Ġkon k +/s mall +ĠQuick ly +un read +Don ate +Detail View +Ġdu a +Ġpenetr ated +OM UX +Ġn ir +_p data +"], [" +Ġlow es +Ġdop ing +Ġas ymmetric +Ġneed less +our cem +Ġup ro +ĠGu zzle +af b +Ġsext reffen +-c ollar +Ġcol ossal +Mon key +n ish +Ġhandle Message +Incre ased +* dx +ĠChatt anooga +f org +ĠOr den +Ġsh ri +ĠV and +Ġ" @" +Image Sharp +ĠWild cats +pon ible +.sc enes +Ġpaint ers +ĠPf izer +ĠZ ah +To Local +ĠFl am +Ġé taient +)) ^ +ĠSand box +ĠTR ADE +Ġchrom ium +Ġac claim +Ġpac man +´ t +) reader +M ari +.Dispatch er +.A DMIN +ĠRem ed +Sw eden +Ġoverl ays +. er +Ġp ang +Ġclean ly +aven port +Toy ota +patch es +Ġv tx +ĠE is +cl ado +ĠR itch +RO LS +Ġh ade +Ġconspic uous +Ġdo cks +(j q +ĠPrem iership +ĠBe z +ĠâĦ ĸ +ĠÑĥ Ñģл +_tot als +Ġprov a +ĠC ue +Ġsa úde +ĠGame Controller +IM IZE +, port +ãĢĤ ( +.C decl +Instant iationException +Ġcoll age +ĠIO C +Ġb ais +Ġon Finish +-st ars +set Size +Ġmog ul +Ġdis illusion +Ġche vy +(S chedulers +( IR +_loc s +Ġcann ons +Ġcancell ing +/b us +Ġbuf io +ĠY ours +ĠPik achu +Ġter me +r Ã¥ +f ahren +Ġowner Id +Ġoblig atory +Ġcul p +Ġacid ity +-m ult +ĠBam boo +Ġ' "> +_g s +Ġcomp il +n ard +-ex c +Ġrh yme +Ġbut to +s ays +ant asy +ë ¸ +Ġcitt Ãł +Ġche g +Time String +Ġpos itivity +ĠD abei +Ġw ang +Ġes cre +" c +ĉv ideo +ĠRank ed +.str ings +>> >( +Ġин ÑĤеÑĢ +Ġrest a +[: ,: +Ġrend re +Ġdes er +J os +Ġdis ruptions +Ġоп еÑĢ +s ampling +sup press +Ġcontainer View +ĠSeam less +Ġair y +Ġon load +.Window Manager +ĠPL A +br aco +.set PositiveButton +Ġp du +Ġg si +ĠC li +_gr adients +Ñı д +ĠWh isper +c stdint +Ġl äng +Ġform ulations +én om +ourn emouth +[$ _ +Ġordin arily +.set Username +Ġfacult ies +MIT TED +/ values +Ġwe ir +ĠA pt +M Z +ĉc f +uck en +ĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉĉĉĉĉ +def ense +[i Var +ĠBusiness Exception +Select ors +(co ordinates +ĠRes ets +ĠDr inks +ole ans +(st ypy +_IO C +.x xx +ĠSl ater +ĠBel ize +Ġ/ ************************************************************************ +add in +_ep isodes +Ġis chem +legal ArgumentException +D anny +Ġp ared +.code haus +ĠAss y +ĉ Rect +â ŀ +.list a +Ġв аÑĪ +Ġv ets +HW ND +ison er +Ġx o +Ġor ally +ĠSt mt +.r nn +ĠD PI +ĠStr ikes +.setViewport View +Ġèĩª åĬ¨çĶŁæĪIJ +Y ELLOW +GL enum +part ners +ĠImp licit +Ġtak o +âĢĻ elle +Ġerm ög +total Count +G il +ĉ work +Ġpr atic +in ati +ab ies +ĠSk inner +Ġspir ited +Ġpancre atic +Ġh df +' em +Ġpsych osis +olic it +Ġ" {" +_at ual +Ġé lect +TE AM +Ġd ak +ĠSW AT +.Fragment Manager +Ġprovision ing +l ifetime +_EXTENSION S +ĠC ASCADE +Ġ! [ +(K P +Ġv em +ĠInterr acial +'] },Ċ +sp acer +_k v +W arehouse +R DD +_f sm +.Stretch Image +, Yes +ĠRefuge e +ĠBr inging +Ġv álido +.inter section +Ġsp ooky +_port al +Ġmo th +ĠZ odiac +ĠSOC IAL +M imeType +'] }} +_Bl ue +Ġbot anical +Ġfr ags +Ġfamil ial +- du +Ġse izing +(block s +.r d +.check NotNull +Ġmis er +Ġmax x +ĠK nee +View Item +Inner HTML +D anger +(( __ +Ġprz ypad +create Url +** , +ĠDecor ating +ATEG Y +?> / +.Design er +hex digest +ĠEvery where +all eries +.TEXT URE +.Block s +z ell +Ġpre ço +S uddenly +input Email +(s ync +.b d +gold en +> '); +ĠDick inson +>> (Ċ +ĠQUE UE +Ġget Column +ĠS AND +.p iece +lic er +Fl utter +Ġget Version +Ġresource Id +og l +ÅĤ aw +.Br anch +ĉ web +Ġfr amerate +PP P +Ġfr ay +C NT +Ġinformat ie +'] čĊčĊ +ne as +Header Code +Ġæ ¸ +Ġtr g +raw types +H onda +Ġmark eter +Ġrequest Data +ĠP g +ĉ not +Ġpage Info +Ġakt uellen +ãģķ ãĤĵ +ĠA MS +push ViewController +ĉ AL +Ġv ests +produ ce +-m ême +ĠRah man +F unny +E Z +_ Valid +Ġsquad ron +Ġl ash +Ġ irm +ias co +ĠPar an +Ġpet ites +ĠDec ay +Ġun initialized +priv ileged +Ġm bedtls +å¤ĩ 注 +Ġ^ . +Ġec static +D etroit +Ġpart en +Ġsou venir +.get Login +моÑĤ ÑĢ +en ção +ĠmÃŃn imo +ĠAccess ed +ri ó +M ic +ĠV ocal +.Set String +Ġmens ajes +åĢ į +Ġattr avers +ĠA ph +Ġ' );čĊ +ünd e +Ġench anted +ĠRoot State +ĠCLOSE D +ĉĉĉĉĉĉĉĉ čĊ +Ġcal iente +or ris +Ġphysic ists +h wnd +_v i +Ġráp ido +Ġcapital ized +ed By +Ġmach ining +Ġhub by +ĠSt acy +.B us +dr ink +H ur +Ġprop ia +Unit Test +Ġmiscon ception +__ ));Ċ +/d c +ĠMay weather +_m C +.create From +ĠQ Painter +rops ych +inn itus +ay as +Ġg eg +(d w +Ġus ado +Ġtrick le +Ġann ihil +ĠP asta +Ġ++ Ċ +(Expected Conditions +.post Value +ic ap +ĠDon etsk +_s oup +-p ublish +ĠP b +ment ions +AC CEPT +.P ull +,âĢĻ âĢĻ +Ġret arded +_AT OM +ĠTermin ator +-c ourt +ĠCLLocation Coordinate +Ġrever ence +ĠS SC +ut ely +ĠW ON +ĠG SL +fre i +.get Longitude +Ġopen FileDialog +.B utter +- important +_M ANY +ĠG ong +âĢľ How +Ġg orge += msg +ĠEz ek +create Command +: checked +Ġinf ographic +.W EST +Dir s +Ġguard a +Ġbeet le +< small +- android +Ġcred itor +ĠM éd +Ġfinal ist +Ġab l +ne v +_inter action +ĠMonter ey +j ah +Ġcand ies +ĠQu incy +èª Ń +Ġbatch Size +ak it +Ġo be +(p ara +Ġexperiment ed +Ġcouncill ors +Ġcl ashed +s qu +-st rokes +ĠG K +ĠEx pires +Ġprosec utions +ĠCreat ures +Ġy ö +x lim +_IM P +Entry Point +ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ +.Default CellStyle +Ġbre ve +ĠBrit ann +Ġsweat y +Ġle th +Ġflash back +per manent +ĠJ DK +_D etails +E uro +p pt +Ġrich TextBox +/ board +Ġtr ance +.c ycle +'); ");Ċ +Ġtox in +_de init +Ġover arching +Ġconfig parser +ĠKaw asaki +.th umb +Ġplay a +ĠJose f ++ _ +Ġzero es +Ġa up +ĠH ari +comm itted +N it +.file Path +ĠDis abilities +man ufact +-al igned +.RE SET +Ġrust y +E y +Ġou sted +cos a +Struct ured +.get D +Ġs ábado +> Loading +_m A +.get Random +bl ings +Ġchees es +tt i +. âĢ¢ +ĠBurg ess +ender it +. ',čĊ +(" "+ +ac b +% p +index ed +_pred icate +nes ia +Ġb ied +ĠC IT +( Pos +_r adi +ä»· æł¼ +B iz +ĠAdoles cent +Ġvi ên +c ycl +_C ancel +Ġcon clusive +Ġappell ate +inform atics +S J +Ġelect ive +role Id +Fetch er +ĉ Command +(" (% +Ġf art +IL A +get Block +A USE +Ġд ан +ĠAr te +Ġnot ifying +Ġge le +.s ame +ĠReg el +ĠBa ÅŁ +.c reation +ĠV N +_comm unity +Ġuns ustainable +SE X +Ġgrid Size +res cia +avers able +(', ')[ +ĠPh elps +á»ķ i +ANCE LED +- IS +.run ners +ĠSt okes +.P rodu +Ġwh ipping +_ac quire +Ġinvestig ación +f ried +.copy With +ĠHard cover +- Se +áŀ¶ áŀ +inv itation +les ai +ĠD orm +ĠÑģпиÑģ ка +Ġconcaten ated +oph il +Ġthink er +/font awesome +ĠLe opard +Ġ"/ ");Ċ +Ġresidual s +ĠMic rowave +Ġconform e +th rop +Ġdis emb +ĠO MG +ĠDisc ipline +ĠAc robat +/re pository +df a +_M ED +buf io +Ġméth ode +_H OLD +ias i +_ legacy +) ččĊ +æ£ Ģ +Get ProcAddress +Ġy ay +ot ence +order id +-t w +Ġdear ly +In coming +/ il +Ġneu rop +uc z +); čččĊ +ĠInnov ative +Ġprof und +ig mat +Selection Mode +re levant +.G O +Ġbru ises +Ġs ach +ode f +Ġre imb +/d esktop +-s pot +und ance +Ent ropy +\ core +Ġsug er +ĠM vc +ĠGN OME +_ind x +ĠYY STYPE +ĠMat lab +ĠC IF +Ġ* )) +Ġproduct List +ĠAl right +ac emark +ÑĤи в +mod ification +int ernational +Ġhom ers +Ġdict s +ĠQ Font +.SQL ite +Ġtransplant ation +ĠMessageBox Button +ĠEl ves +'] ])Ċ +(Q Icon +Ġcin emas +CO ORD +- China +Ġkh ẩu +æĪij çļĦ +Ġskull s +Ġpain staking +f ce +.XR Label +Ġspec ifier +Ġpref erring +/ activity +( Photo +á lt +.l ot +' '. +ann once +.google code +-p df +ĠP oke +_A CL +Ġend owed +dis cover +.om g +Ġwood land +.M agic +Ġvol ont +Not Allowed +Ġch ave +BM W +',' =', +ĠS IX +æĪij 们 +Ġkos her +Ġaspir ation +int l +_ref ptr +'+ Ċ +ment or +.cl ub +Window State +.A RR +Ġz za +Ġmessage Type +.e qu +Th or +Ġin just +Ġg ums +Ġborder Side +//// / +ĠTrans mit +Ġbuf size +Ġh ak +Ġell as +R ANDOM +ĉm c +Ġpe a +ek o +document o +Ġhyster ia +Ġaren as +Ġgun men +Ġm ike +Ġimp unity +atis ation +_Z ero +_COMP ANY +ĠG ors +Ġuse Class +( redis +ĠRUN NING +ĠB air +vel te +Ġ',' . +аÑĤÑĮ ÑģÑı +ö st +encode URIComponent +_re strict +Ġdec als +ĠPed ido +Ġalter cation +Dis plays +ĠApp licants +C US +Text area +ĠAng ola +.f uture +ĠUS HORT +Ġsuppress ing +Ġset zen +AP olynomial +Ġto ch +Ġhall mark +Ġ$ $$ +ĠCHAR SET +.r pm +ĠD ich +---------------- ---- +_p arm +è¿ ĺ +acc iones +h ait +WAR DED +_r outing +ĠN OM +Ġen clave +ĠLot to +ĉf r +complex Content +ĠBall ard +k ube +/w in +.getColumn Model +_RE PLACE +Header Value +Ġest udiantes +Ġap is +Ġb pm +ĠType Name +And Get +rit a +Pl ans +> Note +Ġfet isch +Ġton ed +_g oto +ons ense +Ġm olds +Ġinfiltr ation +ĠGuerr ero +ub bo +ck i +($ (". +_ activities +(ch anges +Ġof App +ĠKe pler +ĠD emp +ĠCont inent +.T icks +ĠUn signed +ĠJah res +Ġfresh men +ĠArch ived +ĠкоÑĤоÑĢ Ñĭй +Ġ' :: +T utorial +C c +Ġtable LayoutPanel +from Json +.level s +_trans ient +Ġendors ing +ĠD IC +la uf +Ġsh red +_E MIT +ific antly +AL A +/ proto +Ġnarrow ing +U tc +Fact ors +Ġsent ient +æŀ IJ +lix ir +ĠC ROSS +met eor +Ġgro in +Ġm db +ĠRot terdam +Ġcom ida +ĠOp Code +ĠDefault Value +Permissions Result +Ġheter ogeneous +Ġm oot +Ġde ceived +-in dependent +ĠObject OutputStream +Ġover power +.d up +Ġl db +Ġdomest ically +Ġbest ellen +Ġlo v +ĠContract ors +Tri angles +Ġfod der +Ġfilm es +ä¼ ģ +Ġrev olver +Startup Script +/ validation +ĠResource Type +i ÅŁ +ĠL az +f ef +Ġlst m +{ * +. attachment +.h its +ew ith +DO G +Al abama +Ġmedium s +.m Context +-c ols +åı ĭ +.not ice +Ġat tn +ĠP acking +ĠL n +_COM PLEX +/ Users +.sav etxt +ĠR ounds +?,?, ?,?, +Ġing l +ĠR OC +_f emale +ĠSt ard +]] ; +Ġwrest lers +Ġtorrent s +Ġsin h + ĊĊ +ë³ µ +s ense +how ever +.Ph ysics +Inf rastructure +ĠSac r +F el +ĠD ISTRIBUT +é ments +ĠValid ates +################################################ ############ +Ġ| / +Ġes l +Ġré seau +ĠB ip +BY TES +_W ATER +Turn ing +EL S +Ġj uxtap +Ġlesb ische +ý ch +( Unknown +Ne o +@ JsonProperty +Ġal umnos +ĠRaq qa +ime i +.get Bounds +.Mouse EventHandler +#### ### +Generic Type +/c ms +Ġturn o +Ġм ин +Ġfolk lore +ĠE vo +Ġconduct ivity +Ġle ben +Ġgear box +-v s +ĠÏ Ĩ +Ġdrink ers +Ġcon exao +ĠTe eth +Ġget Arguments +ĠR AT +ent ious +E duc ++ W +ĠInstitution al +ĠB ord +is Equal +(p wd +Ġign ited +ĠR ousse +Ġimpact ful +ĠM alk +Ġg eral +ĠP ivot +Ġa zt +Ġcsv file +ĠR ope +ĠSOL UTION +ĠArbit rary +Ġlet to +.Mouse Adapter +Ġ} }} +ĠSail or +der a +Put ting +Ġconcentr ates +Ġauth Domain +âĢĿ çļĦ +-f inals +, strlen +Mu on +ĠOrd inary +fire fox +ĠLa TeX +ĠH und +engine ering +/ blue +ed TextBox +(" "); +ĠC DDL +ke pt +ĠGet String +K ir +() =' +ĠO CD +ant ium +$ menu +ĠAppalach ian +Secret ary +ë¥ ĺ +ี ย +Sem antic +Ġ* [ +est one +ung kin +Max Y +-t one +"} ;čĊ +_P art +< Member +tr am +Ġtrans istor +Ġ---------------------------------------------------------------- ----------Ċ +ĠDes de +Ġright ful +ĠCorn el +æ ij +.H OUR +Ġsidel ined +ref errer +m aze +Ġhol ster +Ġcripp led +ĠDate Formatter +oph age +_m D +Ġdes elect +ra ud +ĠPK K +row Data +Ġlock smith +.res ponses +(product Id +_ST MT +Key Type +.Th en +z ee +Ġcr t +ĠGrand ma +@ Resource +Ġbit wise +-c mpr +ãĢĤ www +zeit ig +& display +Cart Item +- No +Ġnum éro +Ġm aur +Ġinst ancia +ĉd t +_n pc +Ġskate board +âĢľ All +ĠCrow d +Ġä n +Ġb raz +ca e +yn et +/p m +/s creen +OPT ARG +ĠV Box +Ġle opard +_g reater +c pt +< dd +Ġmechan ically +osp els +) f +.l wjgl +.get Port +ĠP REF +.Add Transient +pp ard +Ġí ļĮ +Ether net +Ġsal ine +(level s +Ġservice Provider +.A ngle +alt itude +illa ume +Ġs cape +_CAL C +_ quest +ĠDiss ertation +ĠE DM +-C ds +Ġhon orary +st ops +Ġsub dir +ĠV H +ĠChe at +Ġright fully +Q E +.Write Byte +fig ures +enn ie +( DBG +Ġvoks ne +Ġexp ended +UN ICATION +il inx +ĠRec ap +_ verts +Ġtra umat +Ġget Player +Ġverb ess +Ġcultiv ating +Ġiniti ator +Th ông +find First +_per ms +Ġbu c +Ġ""" čĊčĊ +T YPES +object Manager +(Configuration Manager +Ġtim id +Ġsnap chat +Ġcon seg +ĉd istance +_right s +_D es +ĠF lesh +- ver +Ġa fl +fra uen +Ġblas ph +ĠQual ität +ma f +Monitor ing +.D iff +Ġshore line +Ġresponse Body +mem set +< decimal +Smarty HeaderCode +Ġin sets +ĠBinary Tree +amed a +Ġn ihil +ĠN ay +ym ology +ĠW G +Ġt api +ĠInst alled +m aintenance +)} "Ċ +ĠX O +-per iod +s ar +Ġning una +ORM AT +.set PrototypeOf +ĠK b +ĠHen rik +ét ique +ĠLah ore +ĉ Address +Ġmel ts +N y +_adv ance +Ġveloc idad +Ġalum no +Ġsanit izer +Ġph ishing +ĠCom et +Ġch iar +ĉs pec +trim med +(state arr +on nen +Re venue +L ens +Ġcha ired +ĠAss umes +Tr ash +_un set +\ Bridge +Point Size +ĠPol ic +Ġsex uales +ĉd fs +ĠWide String +Ġaccru ed +Y W +_S CHEDULE +Ġk ite +Ġparach ute +[ table +Ġactive ClassName +.Qu ad +Israel i +ĠÅ ĵ +Ġho og +Ġch á»ī +ew ear +Ġtire lessly +set Error +.get Amount +.set Items +ĠM anson +ĠBay esian +_F lag +AC HER +/ original +Ġimm ac +ĠLos ing +' >ĊĊ +L ic +ĠMir age +ĠAssembly FileVersion +Te V +ĠValue EventListener +-s olving +Th o +rou lette +_W P +Ġunint errupted +Ġfield Type +.T yped +Ġam our +Ġmock ery +(v ol +ĠSub committee +ĠR uf +ero x +:UIButtonType Custom +ĠBl ur +Ġwy kon +nc es +ASH BOARD +!! ");Ċ +Ġmurder ers +.d aily +ĠDI AG +j ing +Ġdol phin +Ġl òng +Ġb ö +ĠV ocabulary +.St Object +') "> +Ġz un +Ġscrim mage +tr éal +ĠL ig +[ vi +C ole +Ġfrost ing +.Pl ayers +- translate +Fe els +=\" / +.Butter Knife +Ġ?> ;Ċ +Ġav i +inn ie +.F ailure +Ġsp indle +Configuration Exception +_h op +Ġpos ição +ĠA wait +UIImage PickerController +ĉ day +Ġgen om +C ab +ĠÑĢ езÑĥлÑĮÑĤаÑĤ +OR IGINAL +Ġejac ulation +(t cp +SE COND +Ġton ic +ĠList Box +Ġ ĉĉĊ +() >Ċ +Ġqu atre +ượ ng +with Errors +.M aybe +, âĢ¦ +token Id +_UN DEF +Ġfresh ness +ĠAmend ments +.map box +.C V +(b log +_get time +. quest +s parse +Ġres ale +Ġenthusi astically +ĠProstit utas +W a +C argo +.Parcel able +SENS OR +ĠRy u +La ughs +_N ative +/ pg +yst s +Ġphot oc +ç® Ģ +ado pt +.spec ies +conc iliation +Adjust ed +.Firebase Auth +ut tle +ord ination +Ġm unch +ĠSt ake +.p ing +ank er +(QString Literal +Ġsub script +ĠĠ ĉĊ +ĠM CC +_C md +se xy +i ou +ĠM ANY +Ġn anny +TR AIN +Ġflour ishing +ĠW atches +ĠQ Map +ĠF erm +Ġwas m +ĠA bed +_ UD +ĠGlass es ++ v +Att end +.Ch ain +Ġdec ency +ĠSupplement ary +h unter +-t xt +Ġ" }";Ċ +.set WindowTitle +(" +Ġmasc ara +( Profile +åĬŁ èĥ½ +imit é +Ġwild fires +- ROM +.is On +(group Id +Re pair +accum ulate +Ġ< ", +Ġhand written +Ġach eter +ĠM GM +ĠIr ma +->{ _ +ge e +cr iminal +Ġèĭ¥ è¦ģ +Ġmoment arily +") != +_l it +Ġexpires In +." ). +éķ¿ 度 +Ġfr ække +vl c +Ġor bs +), $ +Ġvent ured +/ >\ +char m +N uitka +eld ig +aton in +W itness +-l at +Ġset Hidden +Ġrelic s +Ġcons ulate +. IGNORE +" After +Ġset Address +Ġbeste ht +Ġ'' )ĊĊ +.x axis +Ġser ão +Ġmis led +_UN IFORM +ĠV IA +inc r +Ġzen ith +Ġvis cosity +Ġthin ly +.get SharedPreferences +.Error Code +"), " +ĠMillion en +Ġ/> )Ċ +Scroll Indicator +-se eking +ĠPOLIT ICO +as ca +_r l +N avig +(full file +Ġsol itude +Ġju ven +Ġhaul ing +ĠMac ros +ĠG ry +Ġexerc itation +ĠATT ACK +Tick Count +Ġr ites +Ġdo e +Particle System +Ġsl u +Window Text +ĠClass Name +Ġsl ander +ĉ Port +j ong +? a +.D ial +âĢĶ at +$obj PHPExcel +Ġso ar +EN N +appe ared +Ġquot id +em achine +Ġn ip +Ġmicro time +ĠAl ma +; ! +---------------------------------------------------------------- -------------------------------- +ĠPass age +Ġdump sters +ĠEx clude +Ġsuggest ive +ĠCircularProgress Indicator +_cl r +Array Type +ILL A +Elapsed Time +Dr iven +Ġresource Name +ĠG arrison +ser ir +-a head +Ġp innacle +ĠEs presso +S parse +Ġass ays +ĠGirl friend +im id +]=' \ +ONGL ONG +Ġportray ing +L ane +Ġb úsqueda +Ġrein forcements +ĠSpread sheet +ĠArray Collection +, arr +light box +ic ana +< " +build ers +K id +ĠMat SnackBar +EX PR +od cast +ĠFound ations +Ġind s +=' ${ +F izz +-function al +(work space +Ġstem med +_p atches +ĠJar vis +READ ING +Ġdisrespect ful +ĠQ Dom +Ġ$ {Ċ +est atus +Re ached +! .ĊĊ +IL T +ĠN DEBUG +ĠCour age +birth date +ĠT ing +Ġutil izado +án chez +Out door +Ġhand guns +Ref Count +É Ļ +rom o +Ġt ts +.S he +ĠP ane +ãĢij, ãĢIJ +ĠIO CTL +/ black +ins cription +Ġbi opsy +ĠTime Interval +.Test Check +ĠGUI Style +ĠCap ability +ĠBeit rag +don nees +T reatment +.back up +Ġsign ings +ĠB oca +dr m +.M AIN +Ġgo ede +ĠMark up +G REE +ĠBase Service +.C reator +Ġj ails +ĠK ahn +Ip Address +ACH I +Ġinhib ited +Ġ@ $_ +ĠAss ass +Ġenvi ado +Hero es +ÐŁ еÑĢ +ĠM aven +.l s +Ġ ive +| RF +Ġresize Mode +Ġrum pe +_attach ments +T U +Ġtact ile +Attempt ing +Ġro bin +y aw +Ġmerc enaries +ĠHab itat +end date +Ġo xy +ĉR andom +oh on +Is Null +ĠValidation Result +ãĥ ļ +um bed +pp v +Ġar p +ich ick +_r nn +ĠT FT +Tex Image +" On +ĠSam pler +top l +Ġj ane +y ling +ĠUN ICODE +Tab Index +< {Ċ +s uspend +uv ian +, application +ол иÑĩеÑģÑĤво +y at +ez ier +ĠCH UNK +ĠAd ler +/ Add +ĠKey Value +Ġspos ób +Sam pling +ch ers +_AM D +R u +.Must Compile +N ation +Ass oc +Man aging +ĠEng l +_G B +Ġsucc inct +Ġdis liked +ĠI ke +Bullet in +_ARCH IVE +Prop osal +Ġjog ging +.C REATED +Ġch ol +è£ ħ +Į ¨ +-p ush +Ġreserv a +core v +è tre +TH R +Ġincompet ence +Ġchar isma +æĦ Ł +Ġ" == +BT N +ĠLoc ator +iv et +('. ')Ċ +Ġfor IndexPath +ô me +Ġcapac it +w aters +ĠWR ONG +ho a +ĠM IPS +Ġem iss +ĠJacqu eline +(c mp +Ġe ens +Le o +.tim ing +CLUS ION +Ġ(" - +åĵ Ī +.k ode +ĠUnd ert +Ġbew ild +ĠEss en +.h d +Ġren egot +Ġm ower +Ġl sp +Ġpen chant +Ġman oe +Ġag li +Ġrec al +ĠOPER ATION +(^ )( +ĠÎ ½ +ĠSc oped +Ġ@ "Ċ += label +[ loc +Int l +ĠN z +table t +.Column Name +Ġscreen Size +DB us +co oked +- registration +âĢľ One +-n on +ĠwiÄĻ c +Ġcost a +.add Tab +. conditions +ĠH ess +MEM ORY +ĠAval anche +() }}Ċ +Ġtri plet +Ġl abyrinth +ĠNode List +ĠNY T +Ġy eni +d ff +.Html Controls +AV IS +/ Math +Ġmem cmp +Ø§Ø ¡ +оÑģ ÑĮ +c rap +(p ages +Ġl xml +ĠQ DateTime +_t cb +Ġopen id +Ġsyn aptic +ĠMD MA +(s lug +igm atic +en or +Ġcr amped +G OP +Ń IJ +.is File +ĠD ifferential +Ġ=" ";Ċ +ĉĉĉ ĠĠĠĠĉ +ĠC ooke +ĉU FUNCTION +Ġpersever ance +Relative Layout +IMPORT ANT +Ġex on +Ġо н +ib ase +(C ONT +n ovation +ä½ ķ +[ sub +Admin Controller +HTTP Header +cre ar +ĠN IR +ĠDrop DownList +Ġval ide +Ġde hydration +. '] +(W IN +Ġ... \ +Ġphotos hop +ĉ Init +_c ou +Ġtime Zone +dar win +rom atic +Navigation ItemSelectedListener +br ates +] --;Ċ +Ġtraged ies +ĠPed iatrics +SM ART +-A PI +ĠMessage Lookup +ĉ vo +Ġprejud ices +Ġm A +U ps +ĠMISS ING +ĉ ad +C ream +ĠT b +ĠMon a +_ ghost +ĉt ypes +Em b +ĠDocument ary +');ĊĊ ĊĊ +Ġl up +_ Reference +ĠB ATCH +Ġintertw ined +< Cell +ĠCab r +n ation +Ġis Connected +.remove Listener +Ġcon g +_t i +ĠSil icone +Ġê²° ê³¼ +ĠW AN +ĠG ibraltar +/ response +ĉp erson +ch ants +V IP +em ergency +Pixel Format +- Am +Ġsouth western +_pl l +if ers +_ON CE +ĠF ayette +.nc bi +_P anel +.Q ual +Ġpol ys +Ġcreate StackNavigator +� t +Ġlay offs +ĠBl anco +Fe at +ĠV imeo +_ch i +_l ifetime +POINT S +, private +Ġunb earable +print ing +Ġc gi +.B ACK +Ġintern s +ĠNew ly +inf eld +( IB +ĠK ata +ĠDef endants +Th r +é¢ Ħ +_V F +FFFF FFFF +Ġdavid jl +Ġbitter ly +S uggestions +.set Cancelable +FIN AL +ason s +_rw lock +_WRAP PER +Ġhapp iest +(row Index +ós ito +TOT YPE +Autom ation +Log File +Ġcons olation +ãĥ Ģ +Ġt êm +Ġpr er +rg yz +ĠG eg +ĉd to +.default Value +ĠK ami +ĠA SE +optim ized +Ġíı ¬ +Ġorigin ates +err Msg +Ġespa ço +(S YS +ĠMc B +d ance +_det ected +Ġfr ü +ĉĉ ĠĠĠĠĉĉ +< Date +(com b +ĠDec ide +\ Field +ĠProp osed +R ib +Ġdis likes +ĠW ien +ĉ Document +Ġtr af +Ġst oria +ĠT ells +') == +C ri +( VALUE +ĠBurn ett +, void +Ġdan h +Ġc cp +Block chain +:"- "`Ċ +IC lient +IS ODE +Iss uer +) }čĊ +, but +ĠU ph +( Sub +Ġtélé phone +ĠonData Change +Ġmarsh aller +-an alytics +, content +Ġdeb acle +_Value Changed +Ġfa una +Ġ# => +Ġf oyer +'util isation +ĠMü ller +ĠFet ish +Ġdefault Manager +Ġback track +B ah +Exp licit +_A SCII +Ġm Activity +(M sg +Ġê² Į +ĠTER MS +ĠAng ie +HS V +ĠMos que +.N ames +íĬ ¼ +rest e +_p arms +Ġgap ing +Ġcro pping +Data Frame +Ġrespons iveness +_ undo +_tr an +. terminate +Ġitalian e +Ġwalk through +Ġattract iveness +д е +_ST S +_ learn +Ġchocol ates +ier archical +-th inking +Ġ ))) +ish ments +.Log f +ĠTM Z +ĠCan ary +fo il +ĠVacc ine +.v x +ĠSur round +Inter mediate +Ġi ov +v ais +'; ";Ċ +ï½ŀ ĊĊ +éĢģ æĸĻ +âĢ¦ it +Se ats +Cl ar +W ars +ĠHutch inson +ĠHas an +! ')ĊĊ +ĠRich ie +che iden +($ (' +Y ork +Ġl ids +Ġal phanumeric +ĠG lock +.sh apes +Ġspark ing +_ epsilon +uplic ated +.dir ty +]) == +ĠìľĦ ì¹ĺ +Ġsc n +Ġ/ **************************************************************** +_PRE VIEW +_H C +ield ing +f gets +ĠAdd ison +Ġproduct Service +- figure +(ret val +z ano +Ġaut ob +ĉs d +_n umer +ĠSet LastError +ĠF ior +ific ance +Unt itled +Ġin field +Ġ{} ));Ċ +Ġsp ac +Ġro okies +(des cribing +ng en +ி à® +.r df +.M utex +Ġkne eling +ĠQ E +set Max +Read Stream +Ġvent as +s ut +cm peq +.WriteAll Text +ĠEx perienced +$ __ +Ġka um +ĠL IS +Ġdocument os +_HE ALTH +icont ains +Ġart isans +OWN ER +Ġblink ed +get Display +Ġto en +Ġrow Num +Ġav ril +Ġinv is +ĠK ear +toBe InTheDocument +ap ur +Ġr acked +ĠMc Master +_ATTR IB +H az +Ġfact ura +/ ts +ĠÑĢаз меÑĢ +Ġz f +Ġshort fall +.f asta +ĠCONST ANT +.man aged +g ems +Shared Pointer +Ġblur ry +b rightness +( components +Ġ... "ĊĊ +SE LL +ĠIllustr ator +.get Channel +Ġtrou vé +yst ers +Ġvo is +ĠLind en +Ġem ojis +Ġb rawl +ĠMS R +ĠE lo +ĠCroat ian +Popup Menu +L ewis +.J WT +Ġaston ished +B ush +(item Id +Ġdet achment +ĠEnc ore +å° Ķ +Ġre kl +Ġcr am +)$ / +.get Host +_re commend +- HT +_cal ibration +Auth enticate +.firebase app +UN IX +ĉC amera +ĠHE AP +I deal +. office +Ġgoof y +(S ymbol +Ġjou er +_part itions +Ġrapid ement +ĠGN UNET +id User +Ġsuperv ise +( Contact +AW N +ãģ ĺ +Ġna am +Ġa ust +åľ¨ 线 +_soft max +Allow Anonymous +amm able +RO UTE +* D +Ġad en +ĠCrist ina +ĠCrist iano +Ġblood stream +sub class +_person a +CH ILD +-k now +Ġnavigation Options +ĠZuk unft +ĠPix ar +Ty ler +Ġunder world +Ġsincer ity +Ġdispens er +Ġk ter +idd ers +.add Node +- checked +Ġke yst +ĠW TO +.sign als +Ġadvent urer +ĠP ang +\ R += pos +Ġdispens aries +ĠClo set +("{ \" +ide on +Ġnécess aire +() "Ċ +_RECE IVED +Ġrésult ats +Ġmod en +ĠIceland ic +; d +. allowed +(new User +Ġmerc iless +.Wait For +Ġday care +ĠCon veyor +ç ĸ +ð ¬ +ç ĥ +ç Ĺ +ç ł +è Ħ +é ² +å ¦ +çĿ Ģ +å¾ Ī +é ħ +ç ĭ +é ª +æ Ĥ +é ¥ +è ħ +æĥ ³ +å ¨ +é ¹ +ç Ĥ +å Ĵ +ç Į +è´ ¨ +æ ¢ +æ° Ķ +ð « +æķ Ļ +ç Ł +å Ħ +åıij å±ķ +åĪ Ľ +è ij +æ ħ +å ŀ +åģ ļ +æĪ ĺ +æ IJ +å¼ º +æ· ± +åĩ ł +ç ¿ +å © +è ŀ +å§ Ķ +åIJ Ħ +è İ +é ¸ +é º +åı Ĺ +èģ Į +å ĺ +æ ½ +é£ İ +èIJ ¥ +åħ ļ +è ľ +éĤ £ +é¢ Ĩ +ç ij +é ³ +æľ ¯ +ä» Ģ +æĪ ¿ +ç² ¾ +å ª +é Ĩ +å¤ ª +èĤ ¡ +è Ľ +åħ ī +æŀ ģ +åĬ ŀ +è ĵ +ç ĺ +å ´ +å Ĺ +èĬ ± +çł Ķ +å¿ « +å¸ Ī +è¶ Ĭ +è§ Ĥ +æ ¤ +æ ¦ +ç ŀ +èĤ ² +çĪ ± +çĻ ½ +ä¸ ĸ +ä»Ģ ä¹Ī +çľ ¼ +å ³ +è Ĵ +æ ĵ +è¢ « +å¹ ² +çĹ ħ +å£ « +ç Ĵ +è ¸ +æ ¾ +å·¥ ä½ľ +è® © +çĥ Ń +è¾ ĥ +åĦ ¿ +åĬ © +ç§ ¯ +ç ³ +ç ĵ +ç £ +å Ĥ +è ¹ +è ļ +å· ± +çĻ ¾ +åĬ ¿ +èµ Ľ +æ ¨ +æ ¿ +è ĸ +æĿ ij +å¸ ¦ +å¢ ĥ +æĬ ¤ +é Ń +å « +èĩª å·± +æµ İ +ä½ İ +åĮ » +éĺ ² +åĨ ľ +è Ĩ +ç Ĩ +é « +åĨ Ľ +æĪ ı +åį ĩ +æĸ ¯ +ä½ ı +èIJ ½ +åħ » +èĩ ´ +ç Ĭ +ç ĩ +ç ħ +è Ķ +ä¼ģ ä¸ļ +åĽ ¢ +æī į +æł ¡ +åĩ Ĩ +å¥ ĩ +åī ¯ +é ¼ +æ¼ Ķ +é© ¬ +èµ ° +ç¥ ŀ +åħ ĭ +æľ Ľ +æ² ¹ +è¾ ¹ +åį ĥ +å¾ Ģ +åĪ ĩ +æ © +ç ¶ +å Ļ +éĻ ħ +çī Į +社 ä¼ļ +游 æĪı +æĸ ½ +ç ħ§ +æİ § +æ» ¡ +è¯ Ĩ +éĩį è¦ģ +è¶ ³ +çķ Ļ +ç» Ĩ +åį ı +éĢ Ĥ +æ ĩ +æ § +é Ħ +è Ŀ +å¸Ĥ åľº +ç»ı æµİ +ä¹ ł +æĸĩ åĮĸ +éļ ¾ +ä¹ IJ +åĨ ³ +æ¬ ¢ +è§ ī +åĽ Ń +åħ ´ +åħ ħ +ä¸ ¾ +æī ¹ +è ķ +æĬ Ĭ +æĬĢ æľ¯ +ç© ¶ +第 ä¸Ģ +ä¾ ¿ +åĵ į +çİ © +åĿ ļ +èŀ į +åį Ĭ +åĸ ľ +å± Ĥ +ç¦ » +ä» ħ +é Ł +åij ³ +å¿ µ +åŃ £ +ç´ § +ä¹ ħ +é ¤ +é ŀ +è ¤ +åĢ Ļ +åĨ µ +ç Ł³ +åģ ¥ +æĢ İ +å® Ŀ +è¡ Ģ +åŁ Ł +æĹ © +çŁ¥ éģĵ +è´ Ł +åį ļ +å· ´ +äº ² +å± ŀ +ä¸ ¥ +äº ī +å¯ Ł +è º +ç ° +建 设 +产 ä¸ļ +åIJ ĥ +åŃ © +æĹ ħ +æł ¹ +æĿ IJ +ä¼ Ĺ +éļ ı +å® ĺ +åº ķ +å½ © +å¯ Į +æ¸ © +åį « +åī § +çĽ Ĭ +æĬ Ĺ +è´ ¢ +çº ª +æ Ĩ +çĶŁ æ´» +çº ¢ +çĶŁ 产 +è¿ ľ +éĴ ± +åĶ ® +ç¾ ¤ +çı Ń +æ¥ ¼ +éĩ ĩ +èī º +å± ħ +åģ ĩ +è° Ī +æĻ ļ +é ¬ +èĪ ª +å® ³ +è Ĺ +ç į +å µ +çİ ĭ +åº · +è İ· +ç» Ń +äº ļ +é£ Ł +åİ ĭ +æĭ Ľ +èĮ ĥ +è® ¸ +åĽ ´ +é ½ +éĻ į +çº ³ +åĵ ª +æķĻ èĤ² +å·² ç»ı +å¾ · +æŀ Ĺ +å®ī åħ¨ +é¾ Ļ +大 家 +éĿ Ĵ +åº ľ +æ² ³ +åı ¤ +èį ¯ +åĿ ĩ +æĻ º +ä¹ ¡ +çķ ¥ +åĨ · +ç¦ ı +å® ¤ +ç» ´ +æī ¿ +å± Ĭ +è¯ ī +åĪ » +è Ł +æ ª +å°± æĺ¯ +è¿Ļ 个 +ä¸Ń å¿ĥ +ä¸ĸ çķĮ +åŁİ å¸Ĥ +éĿŀ 常 +åĪ Ĵ +åı Į +æĢİ ä¹Ī +åĪ° äºĨ +æľ ĥ +åı ² +ä¾ Ĩ +å¾ ĭ +å¥ ĸ +ç» Ī +åª Ĵ +å® ģ +è¯ ¾ +èģĮ ä¸ļ +åħ į +æµ ĭ +æĢ ¥ +æķ ij +çĭ ¬ +èŃ ¦ +é¤ IJ +æĦ ¿ +è´ « +çĸ ij +å ļ +å¥ ¹ +åı Ī +åĽł 为 +ä¸į æĺ¯ +å¤ Ł +æĸ¹ éĿ¢ +éķ ĩ +äº Ĵ +éħ Ĵ +è® ² +çĸ Ĺ +æĺ ¥ +æ¹ ĸ +å¤ ľ +è´£ ä»» +人 æ°ij +åħ ° +çŁ Ń +æķ ħ +åĩ ı +æĻ ® +äº ® +ä¾ Ŀ +åį ° +éĿ Ļ +åĢ ĭ +å¾ ģ +åIJ ¸ +ç¼ º +æĶ » +åĩ Ģ +åħ ¸ +åĽ º +è® ¿ +ç ¹ +ç Ģ +æıIJ ä¾Ľ +ç» ĩ +å¾Ī å¤ļ +çłĶ 究 +è· Ł +主 è¦ģ +æĥħ åĨµ +çŃ ĸ +æŃ » +大 åѦ +æĶ¿ åºľ +å½± åĵį +ä¹ ° +åħ Ń +éĻ © +åħ « +æŁ IJ +è´¨ éĩı +åį ł +å· ® +æĽ´ å¤ļ +æľ ĭ +éĿ © +å® £ +çł ´ +è½ » +åº § +æĺ ¾ +ç¨ ³ +è´ µ +èĥ Į +èī ¯ +çĸ « +æ¯ Ĵ +ä¹ İ +åĢ Ł +è¿ · +çŃ Ķ +æ¿ Ģ +åij ¼ +äºĨ ä¸Ģ +è¶ £ +ä¼ ´ +ä¼ Ļ +è ¼ +ð¬ Ń +åĽ½ 家 +æ´» åĬ¨ +çİ° åľ¨ +ç§ij æĬĢ +åį ¡ +ä¸į åIJĮ +个 人 +è®° èĢħ +ä¸į æĸŃ +éĹ » +ä¹ Ŀ +èij Ĺ +ç» ¼ +ä¸ ĥ +æł ij +æľĭ åıĭ +åį ĸ +ä¼ ¤ +æ² Ļ +åĸ Ħ +å¥ Ĺ +è½ ® +ç© ¿ +è¡ ¥ +ä¸Ģ å®ļ +çª ģ +çĿ £ +è¿ ½ +å¨ ģ +åı ¦ +åĽ ° +æŀ ¶ +ç» Ŀ +æķ £ +æİ ¢ +æ´ Ĺ +ä¸ ´ +ä¼ ¼ +è´ ¸ +ä¸ ° +æĺ¯ ä¸Ģ +ç« ŀ +è¿ İ +èģ ļ +è « +æį Ł +æī § +é© ¾ +è¿ Ŀ +è ¥ +è ł +ä»ĸ 们 +æŶ åĢĻ +å® ĥ +人 åijĺ +è¿Ļ æł· +å·¥ ç¨ĭ +åĪĽ æĸ° +åŃ© åŃIJ +å¸ Į +éĥ¨ åĪĨ +éĵ ¶ +代 表 +é¦ Ļ +å¸ ® +æݨ è¿Ľ +çĽ ĺ +积 æŀģ +éĥ¨ éŨ +åŁ ¹ +æŃ ¦ +ä¸į ä¼ļ +çŃ ij +éĢ Ļ +çİ© 家 +æĭ ¿ +åİ Ĥ +æ¯ Ľ +çģ µ +æŃ Į +ç »¿ +å¦ Ī +çĽ Ľ +é¦ Ĩ +é¡ º +èĦ ¸ +å° ¼ +ä¸ ½ +å¥ ¥ +éģ ĩ +è¯ į +å° ģ +ä¸ Ŀ +好 çļĦ +æĭ ħ +èĦ ± +æģ ¶ +åİ ļ +åĬ ³ +çĽ Ł +æĬ ĺ +åı ¥ +æĢ Ģ +æŁ ĵ +书 è®° +åĨ ł +é² ľ +æ ¦Ĥ +éļ IJ +å¹ ħ +èµ ŀ +å¹ ķ +æ¥ Ń +éģ Ĺ +åĪ ¤ +è ĺ +å ¶ +æĬķ èµĦ +è¡Į ä¸ļ +äº ij +çݯ å¢ĥ +åѦ çĶŁ +åIJĪ ä½ľ +åģ¥ 康 +é£ ŀ +ä¸Ģ æŃ¥ +ä¸Ģ 缴 +åıij çĶŁ +éĺ ¿ +é¢Ĩ 导 +åĸľ 欢 +åºĶ 该 +çĤ º +è® Ń +æĿ Ģ +æ¸ ¯ +交 éĢļ +éĺ ¶ +éĴ ¢ +ä» ¤ +å° ½ +æ¯ į +è¡ £ +ç² ī +é¡ ¶ +ä¹Ł ä¸į +æĬ ĵ +èĭ ¦ +å¹ ¸ +ç¤ ¼ +第 ä¸ī +大 çļĦ +éģ İ +çĥ Ł +éģ ¿ +ä» į +åº Ĩ +æĢ ķ +è° ¢ +çĽ ĸ +å° Ħ +éľ ² +æĸ Ĺ +ç Ĭ¶ +åŃ ¸ +æ¯ ķ +å· ¨ +çŁ ¿ +çļ ĩ +å¸ Ń +çĹ ĩ +æī ¬ +å» ¶ +ä¾ § +æ· ¡ +çļĦ ä¸Ģ +ç¶ ² +æ´ ģ +ç ¸ +è§ Ī +çŃ ¹ +ç§ ĺ +è¯ Ĭ +çı ¾ +èª ī +æ¯ « +ð ¨ +åį ´ +æĪIJ 为 +èĥ½ åĬĽ +é» Ħ +æĹħ 游 +èĪ ¬ +æ¯Ķ è¾ĥ +èµ· æĿ¥ +äºĨ 解 +èĩª çĦ¶ +ä¸Ģ 次 +åŁº æľ¬ +æĽ ¾ +综 åIJĪ +èı ľ +è§ī å¾Ĺ +第 äºĮ +è· ij +æ³ ¢ +åĢ Ĵ +ç¡ Ģ +åħ µ +èį ī +çĶ ³ +çĶ ° +æĤ £ +è§Ħ å®ļ +èĥ ľ +èµĦ 产 +æ¢ ¦ +æľ Ŀ +è¿Ļ éĩĮ +å¤ « +æĮ ¥ +ä½ Ľ +å® Ī +éĽ ¶ +æĸ ¼ +ç¯ ĩ +å² Ľ +åĵ ¥ +éŃ Ķ +ä¸į åĪ° +æī ĺ +åº Ĭ +æ¬ § +èį £ +æ± ĩ +æī © +åģ ı +å¢ Ļ +è® ¯ +å© ļ +æĥ ł +æ´ ĭ +å® ľ +æ¶ ¦ +æħ ¢ +éĢ ı +å® ½ +é¡ ¾ +ç´ ¯ +æ± ¡ +çĪ Ĩ +ç§ Ł +æĥ Ĭ +æ¶ ¨ +é¥ ° +éĺ µ +é¥ ® +æļ ĸ +åº Ł +æĹ Ĺ +éļ Ķ +ç¶ ĵ +åĭ Ļ +å¯ ¦ +éĢ Ķ +æī « +çĥ Ī +éĽ » +åĪ ij +éĹ ľ +éĹ ª +å¥ ĭ +å Ĥ¨ +ç¼ © +ä¾ µ +å ¬ +𬠶 +åĽ½ éĻħ +ç»Ħ ç»ĩ +ä¸ĵ ä¸ļ +åıij çİ° +å¸Į æľĽ +ç»ı èIJ¥ +åı « +æĿ¥ 说 +éļ ľ +ä»» ä½ķ +交 æĺĵ +éĩį çĤ¹ +çļ ® +ç» į +æ´ ¾ +ç§ij åѦ +åºĶ çĶ¨ +建 çŃij +èĤ ī +æĶ¹ éĿ© +åŁº ç¡Ģ +æ± ī +åĩº æĿ¥ +è¿Ļ ä¹Ī +åĪ ļ +åĿ IJ +ä¸į ä»ħ +ä¼ļ è®® +éĿ ł +åªĴ ä½ĵ +æ° ¸ +åĨ ² +èĭ ı +å¤ ® +çĪ ¶ +åł Ĥ +å®ŀ éĻħ +è¡ Ĺ +ç« ¥ +éĺ ħ +äºĭ æĥħ +åİŁ åĽł +éħ ¸ +以 æĿ¥ +å¨ ± +å® « +åĿ Ĺ +ç» © +éĩ İ +ä¸į å¾Ĺ +ä¼ł å¥ĩ +ç¡ ¬ +åİ ħ +æĹ ¢ +ç» ĥ +èĦ ij +å¼ ± +æİ Į +è´ ´ +æĮ Ĥ +åħ³ éĶ® +å° ļ +é¥ Ń +åº Ħ +çĻ ¼ +åľ ĭ +æİ Ī +个 æľĪ +äº Ī +å¸ ģ +è· Ŀ +æ² ī +ç« Ł +åĨ ¬ +æĬ ½ +éĨ Ĵ +å¼ Ł +è§ ¦ +èģ ĺ +è± Ĩ +æļ ´ +åijĬ è¯ī +è± ª +èµ ¢ +è· ¨ +è³ ĩ +çĪ ¸ +æĬ ± +æµ ª +éº » +ä» ª +è¡ ¡ +å¥ ¶ +çģ ¾ +èµ ¶ +èĤ ¥ +å§ IJ +åĢ º +éľ ĩ +è® ¢ +æ¬ Ĭ +ç · +å» ī +ä¿ Ĺ +å¿ ĺ +å¦ ĩ +ç¼ ĵ +åŃ ķ +æ¼ « +è£ ģ +çĩ ĥ +é» ĺ +çī ¢ +çĪ · +æĬ µ +å® ¾ +æľī ä¸Ģ +è¿ ¹ +è¿ « +è² Į +æľī çļĦ +ð¬ ĺ +è¿ĺ æĺ¯ +æīĢ 以 +ä¹Ł æĺ¯ +è¿Ļ äºĽ +对 äºİ +åIJ § +缮 åīį +èĩªå·± çļĦ +èĥ½ å¤Ł +å¦Ĥ ä½ķ +æľº æŀĦ +åıª æĺ¯ +ç½ij ç«Ļ +åħ¨ éĿ¢ +为 äºĨ +å¼Ģ åıij +æĸ° éĹ» +éĩij èŀį +ç» § +客 æĪ· +ä¸Ģ èµ· +èĮ ¶ +åħ³ 注 +æ°´ å¹³ +åİĨ åı² +å¢ŀ éķ¿ +é ± +åŁº éĩij +åº Ń +åı ¶ +ä¿ ĥ +éĽ ¨ +æ¶Ī è´¹ +èĪ ¹ +çŁ¥ è¯Ĩ +æĪĺ çķ¥ +ç»ı éªĮ +å³ ° +æĽ ² +èĦ ļ +åĨ ° +å¤ ı +å½ Ĵ +ç¬ Ķ +èĻ ij +çĶ ² +åľ Ī +è¯ Ĺ +é½ IJ +容 æĺĵ +çłĶ åıij +éª ¨ +çº ¸ +è· µ +æĹ § +çķ ¶ +åĪ ¸ +è´ · +åı ¬ +ç§ ĭ +æ¶ ² +è¡Į æĶ¿ +çĮ ® +èĤ ¤ +éĢ IJ +è¶Ĭ æĿ¥ +è¶ĬæĿ¥ è¶Ĭ +æĦı è§ģ +èĪ ŀ +åī Ĥ +æ¶ ī +ç¨ĭ 度 +åħ¬ åħ± +æ¢ ° +æľ « +çº ¯ +åĶ ± +æ´ ² +æĬ ¢ +æ¤ į +å¿ Ļ +ä¼ ° +å¼ ¹ +æ³ ī +æľĢ 大 +è¶ ĭ +å· § +ç¦ ģ +æī ¶ +åį ± +çı ł +çĨ Ł +æĭ ľ +主 ä¹ī +æĿ Ĥ +éĻ Ħ +éģ į +æIJ Ń +æĮ ¯ +å¤ļ å¹´ +æķ ¬ +æij Ħ +çº · +å¼ ĥ +æ¹ ¿ +å¨ ĺ +æ¡ £ +é© ¶ +æľ Ĺ +æ® ĸ +æ¦ ľ +åĵ ¡ +ä¸Ģ ä½ĵ +æŁ¥ çľĭ +ç¹ ģ +æµ ĵ +åħ¬ å®ī +æ½ ľ +è´ ¯ +éª Ĺ +æ IJľ +å· ¡ +è ¬ +é Ĭ +å§Ķ ä¼ļ +æĤ ł +åī © +æı Ń +åŃ£ 度 +ð «ĺ +𬠬 +ä ´ +ð ª +ä½Ĩ æĺ¯ +éĥ½ æĺ¯ +å¹³ åı° +åѦ ä¹ł +åĵģ çīĮ +ä¸ Ķ +è¿Ļ ç§į +æĶ¿ çŃĸ +æĭ ¬ +认 为 +ä¸Ģ èĪ¬ +æłĩ åĩĨ +æĶ¯ æĮģ +模 å¼ı +åħ³ ç³» +çļĦ æĺ¯ +è¿Ļ ä¸Ģ +ä¸į è¦ģ +çĶ ļ +ç²¾ ç¥ŀ +æĭ ¥ +åĪ© çĶ¨ +ä¿Ŀ æĬ¤ +ä½ľ çĶ¨ +èĭ ¥ +åĽ½ åĨħ +ä»ĭ ç»į +ä¸Ģ ä¸ĭ +å·¥ ä¸ļ +缮 æłĩ +æľĢ åIJİ +ä»· åĢ¼ +å° į +éĵ ģ +è° ģ +ç»ĵ æŀĦ +éĽ ª +æĻº èĥ½ +ä¼ł 绣 +ä½ĵ èĤ² +çĶŁ æĢģ +æĭ į +æİ ª +åĨľ ä¸ļ +çī¹ èī² +è§Ħ 模 +æŶ 代 +è¿ĩ ç¨ĭ +éĴ Ī +æĿ ¾ +åĶ IJ +åĮ» çĸĹ +çģ ¯ +åĪ¶ éĢł +æł¸ å¿ĥ +ä¸į åı¯ +ç³» åĪĹ +åIJ ī +åľ £ +åĢ ij +ä½ ³ +æĿ¥ çľĭ +æ¯Ķ èµĽ +ä¸ĭ æĿ¥ +åĩº äºĨ +å¹² éĥ¨ +å¾® ä¿¡ +å½ĵ åľ° +åį · +åį« çĶŁ +ä¼ Ł +çĸ« æĥħ +è° · +åĩł 个 +éĺ ´ +çĶŁ çī© +å° ¤ +ä¼ Ĭ +èĤ ¯ +éĿ¢ 积 +åĪĽ éĢł +æı ¡ +åľ Ĩ +æĻ ĵ +æĪIJ äºĨ +åĩ ¡ +çĸ ¾ +ç«ŀ äºī +è® ¨ +主 é¢ĺ +é² ģ +è¿ ª +ä¿ Ħ +æĢ ª +ä¸ ¦ +èĻ ļ +æ½ ® +çĥ § +èĢ ³ +æ± ł +éĢĤ åIJĪ +æł¹ æľ¬ +åĬł 缣 +çĶµ è§Ĩ +æ· · +ç¼ ĺ +çª Ĺ +çĬ ¯ +æĥ ¯ +æĦı ä¹ī +åĬŀ æ³ķ +ä¼ ij +æ» ij +åĭ ĩ +æķ ¢ +å¯ » +è¦ Ĩ +éĢ ĥ +ç»ı çIJĨ +åĿ ı +æ³ ½ +ä¹ ĺ +åĪ º +å± ı +é¡ ¿ +äº ¡ +éĤ Ģ +åħ ¼ +åĭ ¤ +æ® ĭ +æĺ ł +æ¯ķ ä¸ļ +æĪ ª +è· Į +å£ ģ +åı¦ ä¸Ģ +羣 å®ŀ +ç£ ¨ +è¯ ļ +å¿ħ è¦ģ +æģ ĭ +æĩ Ĥ +å¾ Ĵ +è° ĵ +æķ ı +æ Ļ¨ +èĥ ¸ +æĭ ¼ +å¦ Ļ +è¯ ¸ +èģ Ĭ +æĤ ī +éº ¼ +åĩ Ń +èĪ Ĵ +æ¶ Ĥ +è¿ ģ +æ² ¿ +å¡ ij +æĽ ¿ +æ¾ ³ +å¿ į +èĢ Ĺ +éľ ¸ +åĩł å¹´ +åĪ Ĭ +èĦ ī +èħ IJ +æ¡ Į +çº ł +æ» ļ +æĤ ² +åĨ Ĵ +å¦ ¹ +çķ ħ +çº µ +æij ĩ +å¤ º +è·¯ ä¸Ĭ +å¿ ½ +èĸ ª +æģ IJ +æĦı æĢĿ +å« Į +æı ´ +æ° § +èĢ Ģ +éĺ » +è½ ¨ +å¹ » +æį ķ +åĿ ¦ +åĵĪ åĵĪ +çĭ IJ +æ» ¨ +è² » +è¿ Ł +人 éĥ½ +ç» ĺ +åı ¹ +çµ IJ +æī ° +æ» ĭ +å¥ ij +åĭ Ł +ç¢ º +ð ¦ +éĽĨ åĽ¢ +æĿ İ +å¼Ģ å±ķ +æıIJ åįĩ +åħ¨ åĽ½ +æ±½ 车 +åѦ æł¡ +æł¹ æį® +è¿Ļ æĺ¯ +åĩº çİ° +éĻ Ī +ç½ Ĺ +èİ· å¾Ĺ +åĪ ĺ +éĶĢ åĶ® +æľª æĿ¥ +éľĢ æ±Ĥ +å®ŀ æĸ½ +åĿļ æĮģ +åħ¨ çIJĥ +éĵ¶ è¡Į +æݧ åĪ¶ +é¡ » +åľ° åĮº +æīĵ éĢł +çļĦ è¯Ŀ +帮 åĬ© +ä½ĵ ç³» +è¾¾ åĪ° +è§Ħ åĪĴ +åŁ¹ è®Ń +两 个 +æĬ¥ åijĬ +åľ° æĸ¹ +å®Į åħ¨ +æİ ī +ç»ĵ åIJĪ +宣 ä¼ł +æ³ķ å¾ĭ +èīº æľ¯ +çĶµ å½± +èª ª +ä¸Ģ çĤ¹ +è¶ħ è¿ĩ +çĶµ åŃIJ +æĢĿ æĥ³ +æķĻ åѦ +éĺ¶ æ®µ +åķĨ ä¸ļ +çī© æµģ +åĪĽ ä¸ļ +æĸ¹ æ¡Ī +çİ° 代 +æ¡ ¥ +èIJ½ å®ŀ +带 æĿ¥ +产 çĶŁ +ç§ Ģ +æ³ ° +ä¹ ± +åħ· ä½ĵ +åĸ Ŀ +èĵ Ŀ +å® Ĺ +åįĩ 级 +æ·± åħ¥ +ä¿Ŀ éĻ© +ç®Ģ åįķ +çĹ Ľ +稳 å®ļ +è¾ Ĩ +å±ŀ äºİ +å· Ŀ +ä¸į å°ij +åĴ ¨ +举 西 +å½¢ å¼ı +娱 ä¹IJ +æŃ£ 常 +é¸ ¡ +åħħ åĪĨ +å®ŀ è·µ +éĩĮ éĿ¢ +è· ³ +èĻ İ +æĪIJ éķ¿ +æļ Ĺ +çĿ ¡ +ç½ ª +çIJĨ 念 +æĮ ij +èµĦ æľ¬ +å¤ļ å°ij +ä¸ĭ éĿ¢ +å¸ Ŀ +åħ¬ å¼Ģ +æ¸ IJ +éķ · +å± ĭ +欢 è¿İ +å¿ĥ çIJĨ +çĤ İ +æ¹ ¾ +è® ĵ +éĤ Ħ +ç³ ĸ +ä¹ Į +åĬ ± +çī Ļ +èħ ¿ +å² Ĺ +ä¼ į +æĪIJ åijĺ +åŃ Ķ +å°ı ç¼ĸ +èij £ +æ³ ¡ +åħĪ è¿Ľ +åħ § +åĺ ´ +è´ Ŀ +è » +æIJ ŀ +æ³ Ľ +é¸ Ł +ç½ ² +èĽ ĭ +主 ä»» +缮 çļĦ +ä¹ ı +æ´ ¥ +æĪ ´ +严 æł¼ +çħ ¤ +çĮ « +åĶ ¯ +å° Ĭ +çĶ ľ +åŀ ĥ +åľ ¾ +æĭ Ł +çĦ ¦ +é« Ķ +å® ı +æ© Ł +é© » +æĹ ģ +å½ » +éĥ½ ä¸į +æij © +ä» ĵ +ä¹ ³ +å² ¸ +è° ĭ +大 å¤ļ +çģ Ń +èħ ¾ +æŁ ľ +èĪ į +åħļ çļĦ +å° ĺ +åįģ å¹´ +æĭ Ĵ +è£ ¡ +æŁ Ķ +å¹ ¼ +éĶ ģ +ä¸ĵ 项 +æī İ +驾 驶 +ç¢ İ +è¢ ĭ +éĶ ĭ +å£ ® +å° ĸ +çĶµ æ±ł +è¿ Ķ +æ¼ ı +å¾ ª +èı Į +èĥ ĥ +è¾ ħ +éĢ Ĵ +èĥ İ +éĻ ª +å¯ ¿ +å¥ Ķ +çĮ Ľ +çº ¹ +çŁ¥ åIJį +å¿ Ĩ +æ¡ ĥ +æ£ ĭ +éĢ Ĩ +çĤ ¼ +ç± į +çī § +æł· çļĦ +è¾ Ľ +åł Ĩ +å®ŀ åľ¨ +ä¼ ı +å® ¿ +èµ ı +è£ Ĥ +åįĬ å¹´ +åĢ ¾ +满 æĦı +æ¢ ¯ +æĦı åij³ +åŃ ¤ +ç¥ Ŀ +æĻ ¶ +èµ Ķ +åģ ¿ +èĦ Ĥ +ç½ ļ +ç¢ į +æ² ĥ +æ ĵį +å´ ĩ +æļ Ĥ +è· ĥ +æIJ ¬ +å© Ĩ +é ī +éī ´ +åħ´ 趣 +èIJ¥ ä¸ļ +è® Ĭ +èĦ ı +è¾ Ī +å·ŀ å¸Ĥ +è´« åĽ° +ç© · +ä¸Ń å°ı +æ¼ Ĥ +çĻ Į +èľ ľ +ä¼Ļ ä¼´ +çī µ +æĤ Ł +éĻ · +èµĽ åŃ£ +æ¨ £ +åģ ¶ +æĺ Ĩ +è¢ Ń +æį IJ +èī ° +æ Ĥ¬ +çĶ ¢ +èij ¡ +çĽ Ĺ +å© ´ +å° İ +çº ½ +åĢ ¡ +æī ® +è¨ Ń +æĬ ij +ç¡ ķ +è¾ ĸ +éĥ ģ +è¾ © +éĤ » +çİ° åĩº +è¦ ı +å½ ¹ +éĺ Ķ +åī µ +è¯ ± +æĥ ij +æ· Ģ +é¢ Ī +ä¾ ¦ +æģ ° +æ£Ģ å¯Ł +éĨ « +çĦ¶ æĺ¯ +åĭ ĥ +èĮ « +ä ĵ +𠬸 +ä½ľ 为 +çļĦ 人 +éĤ£ ä¹Ī +ç¾İ åĽ½ +è¿ĺ æľī +æıIJ é«ĺ +èĻ ½ +åħ· æľī +åĮħ æĭ¬ +æĪĸ èĢħ +ä¸į è¿ĩ +ä¸Ĭ æµ· +åĮ» éĻ¢ +èµĦ éĩij +çĶļ èĩ³ +åĪ¶ 度 +解 åĨ³ +èģĶ ç½ij +继 ç»Ń +建 ç«ĭ +è¿Ľ ä¸ĢæŃ¥ +æĿIJ æĸĻ +ä»Ĭ 天 +å¿ħ é¡» +åIJĦ ç§į +çİ° åľº +ä»ĸ çļĦ +å¢ŀ åĬł +é¢Ĩ åŁŁ +åıĤ ä¸İ +æĮģ ç»Ń +ä¹ĭ ä¸Ģ +çī¹ åĪ« +é± ¼ +åħ± åIJĮ +åĬ ª +çİ ī +人 们 +åħĪ çĶŁ +ä¼ĺ åĬ¿ +ä¿Ŀ æĮģ +ä½ľ åĵģ +çī Ľ +æĪIJ æľ¬ +æĶ¶ åħ¥ +åıĬ æŶ +è´Ł è´£ +æİ¥ åıĹ +èį IJ +åıª è¦ģ +羣 çļĦ +导 èĩ´ +æľº åĪ¶ +è¡Į åĬ¨ +æĸ° çļĦ +å®Į åĸĦ +为 ä»Ģä¹Ī +ä¸Ń 央 +æĪIJ ç«ĭ +æĦŁ è§ī +åıĺ åĮĸ +åıĹ åĪ° +并 ä¸į +åŃ Ļ +æĸ½ å·¥ +æĺİ æĺ¾ +è¿ĩ åİ» +åıij æĮ¥ +羣 æŃ£ +åŁº åľ° +æĺİ ç¡® +èĥ ¡ +许 å¤ļ +ä¸Ģ å¹´ +æĸ¹ åIJij +æģ © +缸 ä¿¡ +åľ ³ +详 ç»Ĩ +äºĭ ä¸ļ +çĶŁ åij½ +åĴ¨ 询 +æĸĩ æĺİ +çij ŀ +绿 èī² +èİ « +æĦı è¯Ĩ +æĬķ åħ¥ +åĬł å¿« +æ¢ ħ +ç¿ » +å¼Ģ æĶ¾ +æĻ® éĢļ +åįı ä¼ļ +æĪIJ 绩 +ä» Ļ +å¯ Ĵ +è¯ģ åĪ¸ +认 è¯Ĩ +ä¸ ¹ +大 éĩı +è¿ ħ +åģļ åĪ° +设 æĸ½ +è´¸ æĺĵ +èĥ½ æºIJ +æŶ æľŁ +ä¸Ģ 天 +æ²» çIJĨ +åĺ ī +å® ĩ +丰 å¯Į +举 è¡Į +æĪIJ æŀľ +èĤ¯ å®ļ +çĭ Ĺ +åĬ¨ åĬĽ +æ£ ® +åĩł ä¹İ +åĽł ç´ł +æ°ij æĹı +æ´ ŀ +ç½ij åıĭ +åIJĪ çIJĨ +广 大 +æ® Ĭ +æ´ Ľ +æĿ ¯ +èĴ Ļ +çĶ¨ äºİ +èŀį èµĦ +ç¥ ĸ +æľº 械 +举 åĬŀ +èĩª åĬ¨ +åĬŀ åħ¬ +é» ŀ +éĽ Ħ +åĢ¼ å¾Ĺ +çĮ ª +以 为 +æĺ Į +è·Ŀ 离 +åIJ¸ å¼ķ +ç» ķ +éļ Ĩ +计 ç®Ĺ +éĺŁ ä¼į +大 ä¼ļ +å¼ķ èµ· +çī¹ çĤ¹ +èĥ ¶ +å¹´ è½» +æľ¬ 身 +æľº åħ³ +å®ĺ æĸ¹ +éĥ ij +æµ Ļ +è§Ĵ èī² +èij£ äºĭ +为 主 +æĹł 论 +ä¹ł æĥ¯ +æ¥ ļ +æĭ ĵ +绣 计 +åħ Ħ +广 æ³Ľ +åį Ģ +污 æŁĵ +è« ĭ +èĬĤ 缮 +ä¼ ¦ +è¦Ĩ çĽĸ +èĢ IJ +æī¶ è´« +ç»ı åİĨ +éĩįè¦ģ çļĦ +èĤ¡ 举 +æĭĽ èģĺ +åĽĽ 个 +æĩ ī +èĥ ŀ +æij Ĩ +é«ĺ éĢŁ +éº ¦ +åİŁ åĪĻ +èİ ± +æĽ´ 好 +éķ ľ +åĩ Į +åŀĥ åľ¾ +éĢ ² +çģ ° +éĵ º +äºĭ æķħ +çĶ ĺ +空 æ°Ķ +é¾ Ħ +èı ² +çĵ ¶ +æĺ ¨ +æĹ¥ æĬ¥ +æµ ® +åľ° åĽ¾ +åij Ī +大 åĬĽ +ç» ª +å¸ ħ +æľį åĭĻ +ä¸į éĶĻ +乡 æĿij +å± ¥ +å¹³ æĸ¹ +éĹ ² +æī £ +ç´ł è´¨ +èµ ´ +éģ Ń +èIJ ¨ +èĩª 主 +éĩij å±ŀ +èī¯ 好 +两 å¹´ +æ³ ¥ +é¢ ľ +ç²¾ 彩 +ä¸Ń åįİ +æĻ ĭ +ä¹ł è¿ij +ä¹łè¿ij å¹³ +æĪĺ 士 +åģļ çļĦ +éª ij +æ» ´ +çĵ ľ +çīĪ æĿĥ +èĤ ł +æľĥ åĵ¡ +çı į +ç¨ ® +ä »¿ +çī© ä¸ļ +åĢĭ 人 +å¦ » +ä¼ ¸ +æ± Ĺ +æĹ º +çIJĨ æĥ³ +æij ¸ +è¿Ŀ æ³ķ +å®Į æķ´ +åİ ¦ +è¸ ı +æĸ ij +æ¡ Ĥ +ä½ĵ åĪ¶ +å¸ « +æĿ Ĩ +æ® ¿ +æ¯ ģ +é¦ Ī +è§Ĵ 度 +æ¬ £ +çĥ ¦ +èĤ º +éĩĩ 访 +æij ĺ +æĮ ¡ +æ· ĺ +åħ» èĢģ +çĤ ¸ +è¿ Ī +åİ ī +åĿ Ĭ +è¾ £ +åĩ Ŀ +æ³ ª +çĸ ı +æİ ĺ +åĥı æĺ¯ +éĽ ķ +ç¼ Ŀ +èį · +æį · +åł ¡ +åı¥ è¯Ŀ +çĸ ¼ +æł ı +éģ µ +ç¢ ³ +å·¥ åķĨ +æIJ º +åĪ ¥ +ä¹ Ļ +æĹ ĭ +æĥ ľ +ä¸Ģ 大 +å±Ĥ 次 +èµ ĸ +æĬ ¬ +æ¨ Ĥ +è¯ ŀ +åħ Ĵ +ç¯ ® +èĤ ĥ +å§ ¿ +æĬ ļ +çĵ · +çĶµ åĬ¨ +æĸ° åĨł +æ¶ µ +ç¢ ij +æ· ® +æĹ ¨ +è¸ ª +æ¸ Ķ +æĦ Ī +åı Ķ +åįĹ çľģ +ç¾ © +å§Ķ 书记 +è² ¸ +æ¶ Į +è« ĸ +èIJ Ħ +æı ı +å¿ § +è¾ ¦ +å¦ Ĩ +æī Ń +åij µ +éģ ¥ +è¨ ± +ä» ĩ +åįģ ä¸ī +åī ² +èª į +èĪ ° +é¢ ĩ +é¥ ± +çĭ ł +é«ĺ çļĦ +çµ ± +æħ İ +é¢ ģ +åIJĪ éĢĤ +æµ ´ +èµ ĭ +æĬ ¼ +å¦ ¥ +éĻ¢ éķ¿ +èĢ ķ +è¾ ¨ +æħ ° +åįģ åĽĽ +æľ µ +èĵ Ħ +æŀ ¢ +å» · +æĤ Ħ +æ¶ ¯ +çŁ © +åŃIJ éĩĮ +çĬ ¹ +å±Ģ éķ¿ +é IJ +å¥ ł +ä¼ļ éķ¿ +æĵ ļ +ä¸į åıĬ +åįģ ä¹Ŀ +æ¬ º +èº º +éĺ IJ +çº Į +è¨ » +åĨ Ĭ +èŃ ĺ +é«ĺ çŃī +èħ º +å¤ ķ +ç» ij +åĶ ¤ +èķ ´ +çķ ľ +æħ ĭ +åı Ļ +åı ĥ +å³ ¡ +人 大 +éħ ¿ +éģ © +å¥ ¢ +åı£ æ°Ķ +éĮ Ħ +é ı +åĭ ĺ +è´ ¿ +éļ ª +é ĭ +éļ ¶ +ð ¥ +𬠣 +ð £ +ð« į +𬠳 +ð« ĵ +ð« Ħ +ð« Ł +𨠱 +ä Ĺ +以 åıĬ +æľī éĻIJ +åij ¢ +åIJ Ĺ +çľĭ åĪ° +计 åĪĴ +è¿Ľ åħ¥ +缴 æİ¥ +åĪĨ æŀIJ +åıª æľī +设 å¤ĩ +åħ¶ å®ŀ +åĬł 强 +ä¸Ń çļĦ +ä¿Ŀ éļľ +èĢģ å¸Ī +人 æīį +å¾Ĺ åĪ° +é£İ éĻ© +ä¸Ģ ç§į +空 éĹ´ +æĪij åĽ½ +ä¹ĭ åīį +ä¸ĵ 家 +æĿ ¨ +æĹ¥ æľ¬ +群 ä¼Ĺ +åıĤ åĬł +æķĪ æŀľ +æľī åħ³ +家 åºŃ +åĮº åŁŁ +åĬª åĬĽ +éļı çĿĢ +æĹł æ³ķ +交 æµģ +è¡Į 为 +æ£Ģ æŁ¥ +æľŁ éĹ´ +å¦Ĥ æѤ +èĤ¡ 份 +å½ĵ æŶ +è£ħ å¤ĩ +åĩĨ å¤ĩ +éħĴ åºĹ +è¿IJ åĬ¨ +æıIJ åĩº +å·¦ åı³ +æݪ æĸ½ +é£Ł åĵģ +æ¶Īè´¹ èĢħ +åѦ éĻ¢ +æĮĩ 导 +è¿IJ èIJ¥ +éĩį 大 +åĨľ æĿij +éĢł æĪIJ +æĶ¿ æ²» +éĴĪ 对 +æŃ£ å¼ı +åıĸ å¾Ĺ +éĤ£ 个 +éĽĨ ä¸Ń +åıª èĥ½ +å¿« éĢŁ +身 ä½ĵ +åħļ åijĺ +èģĶ åIJĪ +åĬĽ éĩı +éĥ½ æľī +æ ħ§ +å¡ Ķ +åĪ« 人 +表 çİ° +æķħ äºĭ +ä¸Ģ åĪĩ +å° ĩ +èµĦ æĸĻ +åŁ¹ åħ» +éĺħ 读 +æľī 人 +èIJ¥ éĶĢ +çĽij çĿ£ +çݯ ä¿Ŀ +èĢĥ èĻij +æ·± åľ³ +严 éĩį +èĮĥ åĽ´ +å§Ķ åijĺ +çĽij 管 +ä¸ī 个 +è£ħ ä¿® +åħ¬ éĩĮ +åĪĨ åĪ« +çIJĨ 解 +éŁ © +åĬł å·¥ +认 羣 +ä¸į 好 +åİ» å¹´ +éĻį ä½İ +æľº ä¼ļ +åįı è®® +符 åIJĪ +å¢ŀ 强 +æĬĢ èĥ½ +é¦ĸ åħĪ +ç§ ¦ +ä¸ ģ +å° ¾ +æľī äºĨ +åľ° 产 +æ¸ ł +æĸ¹ 便 +移 åĬ¨ +éĢŁ 度 +å°¤ åħ¶ +éĢļ çŁ¥ +åĿ Ľ +éģ¿ åħį +æģ ¢ +è´ ¡ +èģĮ å·¥ +å®ŀ åĬĽ +æĺ¯ä¸Ģ ç§į +åIJ¯ åĬ¨ +çĸ¾ çĹħ +æĿ¥ äºĨ +缸 对 +çİ° å®ŀ +èŀį åIJĪ +åIJĮ æł· +åħ¬ åijĬ +çī¹ æ®Ĭ +ç´ « +ä¸ĭ åİ» +ä¼ł æĴŃ +æľĢ 好 +ä¼ĺ è´¨ +æ² Ĵ +æĮ º +æĹ ¦ +è¯ º +ä¸Ģ åIJį +éģĵ è·¯ +示 èĮĥ +è¿ĩ æĿ¥ +åIJĮ åѦ +é¼ ĵ +æĿ Ń +æľ¬ 次 +åIJĮ æĦı +ä¸ĸ 纪 +ç¾ Ĭ +æ¬ ² +å·¥ èīº +çĵ ¦ +人 士 +æľī æīĢ +ä»İ äºĭ +æľī å¾Īå¤ļ +ä¸į äºĨ +å²Ĺ ä½į +åıĺ å¾Ĺ +åĬ³ åĬ¨ +å¤Ħ äºİ +å¹³ åĿĩ +å½¢ 象 +å¡ ŀ +åħ± 享 +çĿ Ľ +åĪ© 润 +æŃ£ æĺ¯ +å¾Ģ å¾Ģ +缸 æ¯Ķ +æ¨ ª +åĪ · +æµĻ æ±Ł +大 éĥ¨åĪĨ +å¤ļ 个 +æĤ¨ çļĦ +çĶµ åķĨ +å¾® åįļ +å§ĭ ç»Ī +çĬ¯ 罪 +æĺ¯ åľ¨ +ç»Ħ åIJĪ +åİŁ æĿ¥ +æ¸ħ æ¥ļ +åIJĦ åľ° +æĦŁ åıĹ +å½ĵ ä¸Ń +è¶ĭ åĬ¿ +æĻ¯ åĮº +羣 æĺ¯ +ä¾Ľ åºĶ +转 åŀĭ +çĭ Ĥ +èĨ ľ +èĭ Ĺ +å¿ ł +å¾Ī 大 +èĤ¡ æĿĥ +ç¾İ åħĥ +æİĴ åIJį +åĬ¨ çī© +éĶ ħ +å¢ ¨ +主 å¸Ń +å¾Ī 好 +ç»Ŀ 对 +æĿ ľ +转 è½½ +çĴ ĥ +æĿij æ°ij +åIJ ¨ +åĽŃ åĮº +é«ĺ 度 +çī© è´¨ +è¾ ī +æĹ¥ 常 +æı Ĵ +ä¸ī å¹´ +ä½ĵ çİ° +æīį æĺ¯ +代 çIJĨ +ä¸į 管 +æģ Ĵ +åľ° ä½į +ç² ® +èĸ Ħ +æĺİ çĻ½ +ä¸Ģ èĩ´ +æĽ ¼ +åĵ Ń +åĩ ¤ +åĬ ² +æķ Į +æĪĺ æĸĹ +主 ä½ĵ +åħ¬ å¸ĥ +åıĤ èĢĥ +èĪª 空 +å¯ º +åѦ ä¼ļ +åıį æĺł +ç¾İ 丽 +太 éĺ³ +建 æĪIJ +æħ¢ æħ¢ +åIJĦ 个 +éĤ ¦ +ç»Ħ æĪIJ +ä¸ī 大 +éĶ ¦ +大å¤ļ æķ° +æ¦Ĥ 念 +éŃ Ĥ +åħ¬ çĽĬ +èį Ĵ +身 份 +æ·± åĪ» +åħ © +ç»ı åħ¸ +åIJĦ 项 +èĻ ķ +è¿Ľ æŃ¥ +åįģ äºĮ +æī§ æ³ķ +æĥ³ åĪ° +æĦŁ æŁĵ +åķĨ åĬ¡ +å°ı ç»Ħ +èĶ ¬ +çıŃ åŃIJ +åIJĮ å¿Ĺ +éĿ¢ 临 +çĤ Ĵ +å¤ļ ç§į +è§Ĥ çĤ¹ +åĵª éĩĮ +å° Ŀ +å§ Ĩ +èħ ¹ +åŁİ åĮº +太 å¤ļ +çĹħ æ¯Ĵ +åľ¨ äºİ +æīĢ è°ĵ +æĻ ° +æŀ Ŀ +æĭ ĸ +å® ħ +æķ´ æ²» +ä½ı æĪ¿ +åģ · +çĨ Ĭ +èµ ģ +æ° Ľ +æł¼ å±Ģ +åŁºç¡Ģ ä¸Ĭ +èĥ Ĩ +åħ ½ +鼶 åĶ® +åĿ ¡ +女 åŃ© +æĴ ŀ +åħ¨ åĬĽ +åĴ ĸ +èĤ © +çľ ī +èĩ³ äºİ +åħļ ç»Ħ +ä¸Ģ 件 +æĭ Ĩ +äºĭ å®ŀ +åĤ ³ +æ¹ ĺ +網 ç«Ļ +循 çݯ +åIJĮ æ¯Ķ +æĭ Ķ +åĮ» èį¯ +åħ» æ®ĸ +åĽº å®ļ +å®ŀéĻħ ä¸Ĭ +è®° å¾Ĺ +åĪ© äºİ +æĤ ¦ +æĭ ³ +èĤ Ŀ +æķĪ çĽĬ +è© ² +æ°ij 主 +çĹĩ çĬ¶ +é¢ ¨ +å¹¼ åĦ¿ +å§ ij +æĪ Ĵ +ä¸ĭ çļĦ +æ¸ ¡ +å¹´ åºķ +è®° å¿Ĩ +åIJ IJ +大 å¹ħ +å¾ ½ +åħ¬ ä¼Ĺ +ä¿¡ å¿ĥ +çİ Ľ +ä¼ļ ä¸Ĭ +ä¹ Ķ +æijĦ å½± +æ£ĭ çīĮ +éĻ ķ +åºĶ æĢ¥ +æĶ¶ è´¹ +æݧ èĤ¡ +仪 å¼ı +çŀ ¬ +æīĢ åľ¨ +ç¢ ° +å§ ĵ +é¡ Į +æĶ¯ éĥ¨ +使 åij½ +çĤ ī +å¯ Ħ +ç¿ ¼ +åľ° ä¸ĭ +è¾ ŀ +ä¿ ± +主 æĮģ +è´§ å¸ģ +æģ ¨ +èĤ Į +çĽ Ī +éĶ » +å¿Ĺ æĦ¿ +ç±» ä¼¼ +æĮ ĸ +éĢ » +ç¸ ½ +纪 念 +åķ ¥ +å¼ ¯ +åIJį åŃĹ +åģ¥ 身 +çļĦ å¿ĥ +é© ± +èĥĮ åIJİ +æ³ķ å¸Ī +ç² Ĵ +èĥ½ éĩı +è¾ ° +èī ³ +å½ ¼ +段 æŶéĹ´ +åIJĪ æ³ķ +æĵ ¦ +ç¾ ½ +åİ ¨ +æĪij 说 +äºĭ åĬ¡ +åĩł 天 +åħ ģ +ç¼ ´ +åį ĵ +两 ç§į +çĭ¬ çī¹ +å¸ ¶ +éĴ » +æĥ © +é¢Ĩ åħĪ +足 å¤Ł +å£ ³ +æĦıåij³ çĿĢ +åĪĨ å¸ĥ +ä¹ ĥ +éģ ĭ +ä½ © +è° ± +çģ £ +èį ¡ +è´¯ å½» +å¹ ¾ +ç£ ģ +åħ¸ åŀĭ +åī ĩ +åĨ » +æ¬ ł +ä¸į ä¹ħ +æµ ¦ +éŃ ħ +å¼Ģ äºĨ +使çĶ¨ èĢħ +è¿Ļ 款 +å° Ī +èĦ± è´« +æĶ» åĿļ +ç®Ĺ æĺ¯ +ç¨ Ģ +æĹł 人 +åł µ +å¥ ı +éĥ½ å¸Ĥ +åı¯ è§ģ +ä¸į åĩº +æ ·» +äº ı +ç¾İ 好 +èĥ ĸ +éŁ µ +æłĩ å¿Ĺ +èĬĤ èĥ½ +æĬ « +å° º +å¯ ¸ +ä¸Ģ 代 +é¢ Ĺ +èĢ ¶ +èĴ ¸ +åĸ ® +æ »¿ +çĮ ľ +æµ Ĩ +åŁ ĥ +åįĥ ä¸ĩ +èµ Į +èģ ² +ä½ľ é£İ +è³ ª +å¯ ¨ +å¹´ 人 +åį° 象 +æ¡ ¶ +æĴ ¤ +åįģ äºĶ +æ¯ ħ +æ² ª +åĽ½ æľī +大éĩı çļĦ +å¾ ¡ +å¯ ĵ +è¦ ĸ +æ¼Ĥ 亮 +çľ ł +ç ĤŃ +é» İ +èĻ ¹ +åĪ© äºļ +èŃ ī +æµ ı +åįģ åħ« +ä¸ ¢ +è¾ ½ +æľīä¸Ģ äºĽ +æħ Ī +åģľ 车 +å® ł +解 æĶ¾ +æľī å¤ļ +éĤ Ĭ +常 è§ģ +æĬ ¹ +çº ¤ +è¦ ª +æ¡ Ĩ +èİ ŀ +æ°§ åĮĸ +è¿Ļ 件 +åĩ ° +æŁ ´ +åıij çĶµ +é¼ ł +转 åĮĸ +å¨ ĥ +æĮ ¤ +ç½ © +å¯Ĩ åĪĩ +æĪij ä¸į +é«ĺ æĸ° +ä¸Ģ ç¯ĩ +è¿Ľ ç¨ĭ +è¡ ° +è¿ĺ ä¸į +ç ħĮ +æĸ° åįİ +èĤ ¿ +æ» © +ä¸Ģ æµģ +è¯ Ī +å®ŀ ä½ĵ +å¤ĸ åĽ½ +èº ² +èµ ł +è¦ º +æ¢ Ŀ +ä¸į è§ģ +è¨ Ĭ +åĮ ¹ +åį µ +çĩ ¥ +æħ ķ +é½ ¿ +å® ´ +é¥ ¼ +èij¡ èIJĦ +å°ı å¿ĥ +æģ ¼ +éĻ Į +æĺ Ĥ +åĥ ¹ +èĬ Ŀ +æ¯ı 个人 +åīį æıIJ +ä½ĵ ä¼ļ +æ¨ Ļ +æIJľ çĭIJ +对 åħ¶ +ä¸ § +èľ Ĥ +æµ ¸ +èª ¿ +åĿ ª +é¢ ĸ +åIJį 为 +ç¬ ¼ +èĪ Į +æľ¬ 书 +èģ ¯ +çº º +ç®Ģ 缴 +éĽ ¢ +ç¾İ çļĦ +éļ ¨ +é«ĺ å³° +è¿Ļ 家 +å Ĥ¬ +å° ¸ +ç¡ķ 士 +èŃ · +è° ¨ +æĺ ı +æĶ¿ åįı +è¡ Ķ +ç¿ Ĵ +åľ Ĵ +åĽ½ æ°ij +主 è§Ĵ +è£ ķ +ä¼ ª +åº ŀ +æ°ij èIJ¥ +æĥ § +ç§ĺ 书 +çĹ ķ +çĻ¾ åĪĨ +æº ¶ +æĹł çĸij +çļĦ çľ¼ +æĵ İ +ä¼Ł 大 +å½ ° +åħ¬å®ī å±Ģ +ç³ ķ +å¼ ¥ +åĤ Ļ +ä¹ ¾ +毫 ä¸į +注 æĺİ +åī¯ æĢ» +æĦ ī +æķ ¦ +é¦ ¨ +æĶ Ģ +éĢ Ŀ +åı¯ éĿł +å¤ ¸ +åľ ĺ +éĿ¢ ä¸Ĭ +æĬ ĸ +èĦ Ĩ +é© ° +ä¼ IJ +å¦ ¨ +å®ļ äºĨ +ç³ Ĭ +æŃ ¡ +éĥ¨ éķ¿ +ç§ ī +èĪ Ĩ +åĪij äºĭ +åIJ µ +æ¤ Ĵ +è¡ ĵ +è± « +èı © +åŃ µ +é¥ ² +å°± 好 +åł ª +ä¸ī è§Ĵ +åľº æ¯ĶèµĽ +ä¸į åģľ +æĵ ħ +åħ¨ æĸĩ +æ³ ģ +åѦ ä½į +æ± ° +éł ĺ +åı ł +éļ Ľ +å¸ IJ +çľĭ åĩº +åĮ ł +å±Ģ éĿ¢ +æ³ Į +è° Ĭ +åIJĮ æľŁ +æĬķ æłĩ +å¥ ´ +æĿ¥çľĭ çľĭ +èĦ ¾ +èŀ º +æŃ ī +çĽ ¯ +ç¨İ åĬ¡ +å» Ĭ +æİ © +æħ ¨ +çĽ ¼ +èĬ Ĵ +è® Ģ +æĮ £ +èĮ ħ +æĸ ¥ +æ¤ ħ +åĪ° æĿ¥ +èijĹ ä½ľ +çĭ ± +äºĮ æīĭ +ä»İ æĿ¥ +çĸ ² +åºĬ ä¸Ĭ +æĸ° 浪 +æ³ Ħ +å¢ŀ åĢ¼ +ä¸ Ľ +æļ ij +ä»İ ä¸ļ +æ· ĭ +å¤ļ æł· +æľ ´ +份 é¢Ŀ +æŀ £ +西 çľģ +æľ¬ è´¨ +æ·± æ·± +èī ĩ +ç» µ +产 åĢ¼ +æ¼ ł +èħ » +çŃ Ľ +åİ Į +æģ Ń +å«Į çĸij +æĪ ¶ +æ» ŀ +èĨ Ģ +åĬ £ +座 è°Ī +常 æĢģ +çļĦ æĥħ +è¦ ½ +å¯ Ĥ +åĮ Ĩ +èĩ º +é¡ ¯ +çķ ı +éģ £ +åį ľ +çŃī å¥ĸ +è² ¬ +æº ¯ +é İ +çĤ¹ 头 +èĵ ¬ +æ± º +éħ ¬ +éģ Ĭ +è³ ¼ +註 åĨĬ +æľ¬ æĬ¥ +çµ ķ +æ´» æĢ§ +åħ ij +éĮ ¯ +åĨ ¶ +åĸ » +æº ĸ +èĤ ¢ +æº ĥ +æĹ ¬ +åī Ĭ +çIJĨ äºĭ +å± ł +æ² § +èļ Ģ +鼻 åŃIJ +为 æŃ¢ +常 å§Ķ +çµ Ĥ +éĬ · +çĭ Ģ +ä¾ £ +èĥ Ģ +èŃ ° +çĶ¨ 车 +åĻ ª +æŃ · +åį Ķ +åĪ ¹ +ç«Ł æĺ¯ +é© Ĺ +èIJ Ŀ +çĻ « +çĹ « +æŃ § +å¼ Ĭ +åª ½ +çı Ĭ +è¡ · +éľ ī +åŁº çĿ£ +éļ ± +æ° ¨ +ç» ¸ +å°¼ æĸ¯ +çĥ ĺ +æľŁ åĨħ +è° ħ +éĽ ĩ +éļ Ļ +å ĸī +åī ¥ +çĹ ĺ +æĮ ½ +çĵ £ +æ¹ Ľ +æ¨ ± +æ¾ İ +æ¹ ĥ +åĨ¬ 奥 +æ£ µ +å® ° +åŀ Ĵ +æ§ ĭ +ä¾ Ī +èĮ Ħ +åĺ ¿ +èı ĩ +ç ĻĤ +åĬ ĥ +é į +èĶ ½ +çŀ Ń +æķ ŀ +ä¹ ĸ +éŁ § +è¾ ľ +æĩ Ī +ä½ £ +çŀ » +åŁ Ķ +èĪ ħ +å®ŀ äºĭ +é ¨ +å§ ¥ +çµ ¡ +åĺ » +çķ ¢ +æ²ĥ å°Ķ +è¿ Ħ +èĤ ĩ +æħ ij +ã § +ä ı +ð ł +ð¬ ĩ +ð« Ń +ð« IJ +ã ³ +© ½ +ð« ł +ã Ľ +ð¬ į +é ¿ +ð¬ Ĵ +ã Ļ +𬠤 +ð ¬´ +ð« ĸ +ð ¤ +ã ¬ +ä ² +ð« Ķ +ð« ļ +è¦ģ æ±Ĥ +ä¸Ģ äºĽ +å®ŀ çİ° +èĢĮ ä¸Ķ +åĽł æѤ +çĶ± äºİ +åħ³ äºİ +çĦ¶ åIJİ +æݨ åĬ¨ +ä¸Ģ æł· +æĮī çħ§ +è¿Ļæł· çļĦ +å½¢ æĪIJ +æľī äºĽ +æĽ´ åĬł +ç»ı è¿ĩ +建 è®® +æ²» çĸĹ +ä½ł 们 +æīį èĥ½ +ä¿ĥ è¿Ľ +åijĺ å·¥ +ä½ĵ éªĮ +èĪ ĩ +åģļ 好 +ä¿Ŀ è¯ģ +æķ´ 个 +æĺ¯ ä¸Ģ个 +éĩĩ çĶ¨ +çIJĨ 论 +æ¯Ķ å¦Ĥ +ä¸Ĭ çļĦ +æݨ èįIJ +çĶ³ 请 +天 空 +éĥ¨ èIJ½ +åįģ åĪĨ +æĿ¥ èĩª +ä¹ĭ éĹ´ +è°ĥ æķ´ +æ¯ı 天 +è°ĥ æŁ¥ +æĤ£ èĢħ +è¿ĩç¨ĭ ä¸Ń +é¦Ļ 港 +广 åijĬ +éĿ¢ 对 +满 足 +éķ¿ æľŁ +è§Ħ èĮĥ +æķ´ ä½ĵ +æĶ¹ åıĺ +æĻº æħ§ +å¦Ī å¦Ī +å¦Ĥ ä»Ĭ +åIJĪ åIJĮ +éĥ½ ä¼ļ +åĦ¿ ç«¥ +åĩı å°ij +éŁ³ ä¹IJ +ç»ı 常 +ä¸Ĭ å¸Ĥ +ä¼ĺ ç§Ģ +çļĦ éĩįè¦ģ +ä¸Ģ æĿ¡ +æµ· å¤ĸ +åı¦ å¤ĸ +ä¸Ģ 家 +åİĭ åĬĽ +大 åŀĭ +çľĭ çĿĢ +åĪ Ģ +幸 ç¦ı +æݨ 广 +åIJ Ľ +å¾ IJ +æī¾ åĪ° +äºİ æĺ¯ +èĩª 身 +ä¸Ģ ä½į +åľŁ åľ° +åĬł åħ¥ +æİ¢ ç´¢ +æ¢ ģ +主 åĬ¨ +å°± ä¸ļ +女 æĢ§ +çªģ çł´ +ä¸įåIJĮ çļĦ +è¿IJ è¾ĵ +èĩª çĶ± +å±ħ æ°ij +æѤ 次 +çļĦ æŶéĹ´ +家 éķ¿ +ä¸Ģ个 人 +æ£Ģ æµĭ +åĨħ éĥ¨ +广 å·ŀ +缴 æĴŃ +ä»İ èĢĮ +è´· 款 +åı¬ å¼Ģ +æĶ¹ éĢł +人 çĶŁ +å±ķ 示 +æ¯ı å¹´ +女 人 +çļĦ æĸ¹å¼ı +æķĪ çİĩ +å±± 举 +æ¸ł éģĵ +ä¼¼ ä¹İ +æ¡Ī 件 +åĪ© çĽĬ +çľĭ çľĭ +å¿ĥ éĩĮ +ç»´ æĬ¤ +å®Ŀ å®Ŀ +ç½ij ä¸Ĭ +论 åĿĽ +å°± åı¯ä»¥ +ä¸į 足 +æģ¢ å¤į +å¸ĥ å±Ģ +è´¡ çĮ® +ä¸ĭ éĻį +æİĮ æı¡ +çļ® èĤ¤ +å·¥ åħ· +éĩį åºĨ +åĵģ è´¨ +æݨ åĩº +çĶ· 人 +æī¿ æĭħ +çªģ åĩº +èĢĮ è¨Ģ +æ² Ł +åįı è°ĥ +æĺ¯ ä»Ģä¹Ī +æ± ¤ +æĴ ij +çĭ¬ ç«ĭ +çݯ èĬĤ +æī© 大 +æ´ ª +æĿ ° +çĽ IJ +ä» ģ +æ¶ī åıĬ +èĢģ 人 +åį³ 使 +åįĹ äº¬ +éħį åIJĪ +é¬ ¼ +çĪ¶ 亲 +ç½Ĺ æĸ¯ +å°ı åĮº +æķĻ æİĪ +åĨ³ çŃĸ +é¢Ħ 计 +æľ¬ 人 +ä¼ ¯ +ç« ¹ +åĪ° åºķ +å¸Ĥ æ°ij +åĩº åı£ +éĩĩ è´Ń +æĢ» ç»ĵ +æѦ æ±ī +åĬł 大 +广 举 +æµģ ç¨ĭ +人 åı£ +å¦Ĥæŀľ ä½ł +åĩº åİ» +åĩ ī +åĨľ æ°ij +çİ° 象 +åĬĽ 度 +ç»Ļ äºĪ +åħļ å§Ķ +è¯Ń è¨Ģ +线 ä¸Ĭ +æĢİ æł· +åĦ¿ åŃIJ +ç¡® å®ŀ +ä¹ĭ å¤ĸ +éĥ½ åľ¨ +èī ¾ +çļĦ æĥħåĨµ +éĩĮ çļĦ +åĽ´ ç»ķ +æĽ´å¤ļ çļĦ +ä¾Ŀ æ³ķ +åħ¬ åĽŃ +家 éĩĮ +æ¯į 亲 +ä¸į åĨį +èĭ ¹ +æ³ķ éĻ¢ +飩 åĽ½ +缸 å½ĵ +ä¸į çŁ¥ +è¯Ħ ä¼° +ä¸į çĶ¨ +顺 åĪ© +éĩį è§Ĩ +è´¢ åĬ¡ +ä»ĸ åĢij +åıij è¡Į +ä¸ĵ éŨ +åħ· å¤ĩ +并 ä¸įæĺ¯ +足 çIJĥ +é ŀĭ +åıij 表 +æ°¸ è¿ľ +èIJ¥ åħ» +éħį å¥Ĺ +æķ´ åIJĪ +è´ º +åĽŀ çŃĶ +æĶ¶ çĽĬ +ä¹Ł 许 +è» Ĭ +æİ¥ 触 +æĶ» åĩ» +åĽĽ å·Ŀ +æĢ§ èĥ½ +åĽŀ åĪ° +èħ ° +ä¹Ł 没æľī +å¼ Ħ +设 ç«ĭ +éĺ² æݧ +æĬĢ å·§ +éĢļ 常 +è´¢ æĶ¿ +éĥ¨ ç½² +åľº æĻ¯ +æ±Ł èĭı +表 è¾¾ +åĸ · +女 åĦ¿ +èĪ ¶ +çµ ¦ +ä¼ļ åijĺ +æĪĸ 许 +äº © +举 æĸ¹ +天 æ´¥ +è¿ij å¹´ +çľĭ æĿ¥ +æ¯Ķ ä¾ĭ +å² © +éĵ ľ +çİ » +å®ŀ éªĮ +æĢĿ ç»´ +æĭħ å¿ĥ +æ² Ī +身 è¾¹ +æ·± åĮĸ +ç²¾ åĩĨ +ç§ģ æľį +æ¶Ī éĺ² +åİ» äºĨ +ç»Ĩ èĥŀ +çIJĥ éĺŁ +æĺİ æĺŁ +é£Ł çī© +å¾Ī å¿« +让 ä½ł +ä¿¡ çĶ¨ +åĶ¯ ä¸Ģ +åħ¶ å®ĥ +çŃī æĸ¹éĿ¢ +å¾ĭ å¸Ī +æŃ» 亡 +æ Ł³ +ä¸Ģ æī¹ +ä¸Ĭ 涨 +æľº åľº +å½¢ åĬ¿ +æĦ¿ æĦı +éĽĨ ä½ĵ +æĸ° åŀĭ +æįŁ 失 +æĽ ¸ +ä¸ĭ åįĪ +æ¯ı 次 +æĪIJ å°± +åħ¬ è·¯ +èĻ « +åĴ ± +西 å®ī +æľĢ ä½³ +ç§ij çłĶ +å¤į æĿĤ +æľº åĻ¨ +çĪ± æĥħ +çħ§ çīĩ +å¹´ é¾Ħ +è³ĩ æĸĻ +ç² Ĺ +åĩĨ ç¡® +åĬł ä¸Ĭ +åĩº çīĪ +è° IJ +家 å±ħ +èĥĮ æĻ¯ +ä¸Ģ 线 +äºĭ 项 +åĬ¨ ä½ľ +ç¥ ¥ +æĢ» ä½ĵ +æĪ¿ åŃIJ +ä¹Ł å°±æĺ¯ +大 æ¦Ĥ +é«ĺ æķĪ +åIJ ¹ +æİ ĪæĿĥ +éĻĦ è¿ij +æ¡Ī ä¾ĭ +éĹ ¹ +çĪ¸ çĪ¸ +彩 票 +æĢ Ĵ +举 æĬ¥ +æĻ® éģį +çķĻ ä¸ĭ +è¡£ æľį +æĹłè®º æĺ¯ +åħħ 满 +æ·± 度 +æ¡ ij +æĪª èĩ³ +带æĿ¥ çļĦ +éĻ µ +æĦŁ æĥħ +èµ ļ +åĵª äºĽ +æķ´ æĶ¹ +æĪIJ çĨŁ +å¨ ľ +é¼ » +çŁ Ľ +çĽ ¾ +好 好 +第 åĽĽ +åĨł åĨĽ +è´¢ å¯Į +æľĢ 好çļĦ +车 åŀĭ +éĸ Ģ +åį³ å°Ĩ +åĪĨ 为 +éĿĴ å²Ľ +纷 纷 +ä»Ĭ æĹ¥ +å¹³ è¡¡ +å¹³æĸ¹ ç±³ +éĤ£ ç§į +åĩº çĶŁ +éĿĴ æĺ¥ +人 群 +人 å·¥ +ä¹ĭ ä¸ĭ +æ¹ĸ åĮĹ +åľ¨ æѤ +åįļ 士 +æŶ åĪ» +æ²³ åĮĹ +æĶ¾ å¼ĥ +éĢļ éģĵ +森 æŀĹ +çĸ Ĩ +æķ ¸ +èĬ ³ +æīĵ åĩ» +æĽ ¹ +åĮĸ åѦ +æĥ³ 象 +ä¸ĩ 人 +è´¢ ç»ı +åħĥ ç´ł +ä¼ļ 计 +åħ¨ ä½ĵ +æĦ Ľ +é«ĺ ä¸Ń +æľº éģĩ +声 éŁ³ +æĹħ è¡Į +æµ © +æŁ ± +å°ij å¹´ +åĽ½ å¤ĸ +èijĹ åIJį +çĶŁ åŃĺ +å§ ľ +带 é¢Ĩ +é¢ľ èī² +ä¸Ĭ ä¸ĭ +产ä¸ļ éĵ¾ +æĽ´ 好çļĦ +å² Ń +ä¼ĺ æĥł +便 æĺ¯ +åħ§ 容 +ä¸Ģ åıª +çIJ ´ +梦 æĥ³ +秣 èµģ +å¼Ģ åIJ¯ +è´Ń çī© +åĮħ åIJ« +åĪ© çİĩ +èµ· äºĨ +æľī åĬĽ +éĤ£ éĩĮ +审 æī¹ +对 æīĭ +çİ° éĩij +天 çĦ¶ +çĽ Ĵ +çĪ ½ +å¿ħ çĦ¶ +åĮĸ å·¥ +ä¸ĵ åĪ© +åķ ¡ +å¼Ģ å¿ĥ +人 ä½ĵ +éģĵ 士 +æĢģ 度 +空 è°ĥ +æĭĽ åķĨ +å§ » +第 äºĶ +æ£ Ĵ +ä¸Ģ ç³»åĪĹ +åį± æľº +转 åıĺ +åľº æīĢ +é¸ £ +æĪ¿ éĹ´ +éĢ ¼ +è¯ķ çĤ¹ +对 å¤ĸ +åĩº åı° +åľ¨ è¿Ļ +åİĤ 家 +å·¨ 大 +ç®Ģ ä»ĭ +çľĭ äºĨ +åħļ 建 +æĮĩ æĮ¥ +çŁ³ æ²¹ +ä¸į åı¯èĥ½ +èİ ² +ä¸į 太 +åĪĽ æĦı +第 ä¸Ģ个 +è´µ å·ŀ +è¿ĩ äºĨ +æľ¬ æĿ¥ +éģĵ å¾· +çŃĶ æ¡Ī +éĻ ¶ +ä¸Ģ è·¯ +èĤ ĸ +æ¸ħ æ´ģ +æľī æľº +åIJį åįķ +æĿ ± +åij¼ åIJ¸ +ä¸ Ī +ç¦ı 建 +è¯ķ éªĮ +å¼ķ åıij +ä¹Ł 没 +ä¸į ä½ı +çĨŁ æĤī +èIJ ¬ +ä¸į èī¯ +çł ĸ +èĩ´ åĬĽ +çŃ¾ 订 +åIJ Ĭ +ä¾ ¯ +çĺ ¦ +å§ij å¨ĺ +æĸ ¤ +妻 åŃIJ +æĺ¥ èĬĤ +çĪ ¬ +æĽ Ŀ +çĥŃ æĥħ +éķ¿ æ²Ļ +èIJ¥ éĢł +éħ · +éĵ Ŀ +åŁºæľ¬ ä¸Ĭ +åij¨ åĽ´ +ä»Ģ 麼 +认 åı¯ +åĪĨ åŃIJ +ä¸Ģ æĸ¹éĿ¢ +è½ ´ +å¼ · +马 ä¸Ĭ +éĽ ¾ +èĩ £ +å° ¿ +çĶŁ æĦı +å®ī å¾½ +ç¥ŀ ç»ı +åĩº å¸Ń +èį¯ åĵģ +çIJĨ çĶ± +åįı åIJĮ +æµģ åĬ¨ +åıij åĬ¨ +åĿļ å®ļ +表 æĺİ +åIJİ éĿ¢ +ä¹ī åĬ¡ +å¦ ĸ +æľī åı¯èĥ½ +å¹´è½» 人 +大 éĻĨ +å² ³ +ä¸į èµ· +çŀ¬ éĹ´ +ä¸įå¾Ĺ ä¸į +çŃ¾ 约 +åIJĪ æł¼ +åħļ æĶ¯éĥ¨ +æµİ åįĹ +便 åĪ© +éļı æŶ +å¥ ī +称 为 +产 æĿĥ +åIJ ķ +çĽ Ĩ +课 åłĤ +ç· ļ +æ£ ī +线 ä¸ĭ +èĩª è¡Į +举 æݪ +åݦ éŨ +èĩª ä¿¡ +å½± è§Ĩ +ä» Ķ +çĶŁæ´» ä¸Ń +æĿĥ çĽĬ +çĻ½ èī² +å°± ä¸į +è¿Ľ å±ķ +æ¯ı æĹ¥ +ä¾Ľ ç»Ļ +æĿĥ åĪ© +æĹł æķ° +çIJĨ è´¢ +ä¾Ŀ æŧ +ä¸Ĭ åįĪ +è¯Ĩ åĪ« +çĽĪ åĪ© +çł Ĥ +许 åı¯ +åIJĮ äºĭ +åĺ Ľ +éģ ¸ +çĿĢ åĬĽ +éŨ åı£ +ä¸į å¤ļ +åħ¶ 次 +ç¢ § +çī© çIJĨ +åĨħ å¿ĥ +çĻ¾ å§ĵ +æĢ» 绣 +å¹² åĩĢ +积 ç´¯ +åıį é¦Ī +æłij ç«ĭ +社 交 +ç§ © +åįģ ä¸Ģ +éĤ ĵ +驱 åĬ¨ +å±ķ è§Ī +èĪĴ éĢĤ +åŁº åĽł +å·® å¼Ĥ +转 让 +å°ı å§IJ +æł· åŃIJ +ç¿ Ķ +é«ĺ åħ´ +å½±åĵį åĬĽ +æīĭ ç»Ń +缸 åIJĮ +缸 åºĶ +æĻ Ĵ +è§ Ģ +å¸Ĥ å§Ķ +èĬ ¯ +å±ķ çİ° +åľ° çIJĥ +éĤ ª +ä¸Ģå®ļ çļĦ +åħģ 许 +ä¿¡ ä»» +æī ij +éĻ¢ æł¡ +ç®Ģ 称 +åģļ æ³ķ +ä¹ĭ è·¯ +æĹĹ ä¸ĭ +èħ Ķ +æ¶Ī 失 +ä¸ĸçķĮ ä¸Ĭ +åŁİ 乡 +èĪŀ åı° +å¾Ī 大çļĦ +绣 çŃ¹ +åħ¬ å¹³ +èĤ ¾ +çļĦ 好 +æ± ģ +çľ¼ åīį +éĽ £ +å¹ ½ +åħ± 产 +主 åĬŀ +å¤Ħ ç½ļ +åº Ļ +éģĵ çIJĨ +å¼ µ +æİ¥ çĿĢ +çĮ İ +çģ Į +çĶ± æѤ +人 åĬĽ +æµģ è¡Į +ä¾ ł +åı¯ä»¥ 说 +èĴ ĭ +å½¢ æĢģ +æĹ¥ åŃIJ +æ¼ Ĩ +çķĻ åѦ +缸 éĹľ +æľĢ å¤ļ +åĩŃ åĢŁ +åħ¬ 交 +æĮĸ æİĺ +æĿĤ å¿Ĺ +主 人 +éļľ ç¢į +æł¡ éķ¿ +æĸ¹ ä½į +ä¸Ĭ çıŃ +å¤ļ åħĥ +è ĥģ +éŃħ åĬĽ +èĮ Ĥ +åħħ çĶµ +强 大 +çĥ ¤ +å¥ĭ æĸĹ +å®ŀ çĶ¨ +éĺ ģ +ç»Ļ äºĨ +æľ¬ ç§ij +æł ĭ +æĭ ¨ +æķĻ ç»ĥ +éĥ½ çŁ¥éģĵ +æ¯ķä¸ļ çĶŁ +ç¢ Ĺ +åŀ Ĥ +è® ¼ +å®ģ æ³¢ +åѦ èĢħ +è°¢ è°¢ +åŁİ éķĩ +æĢİä¹Ī åĬŀ +éģ Ķ +æĪIJ 交 +æ½ľ åĬĽ +åį § +æĸ° å¼Ģ +éħį å¤ĩ +主 åĬĽ +åij³ éģĵ +çĥ Ĥ +é£ŀ è¡Į +å« ģ +大 大 +ç»Ļ 大家 +å¤ĸ éĿ¢ +éĨ ī +åıij è¨Ģ +æĹ© é¤IJ +åIJĦ èĩª +å® Ļ +èį£ èªī +æĬ« éľ² +é¡ ŀ +åĨħ çļĦ +èĤ ª +è¾ IJ +æ³ µ +æĬ Ľ +æĺŁ æľŁ +ä¸Ģ 带 +çĶŁ ç´ł +ç»ı éĶĢ +åĩ ¶ +åľ° ä¸Ĭ +åij½ è¿IJ +åĵ ² +ä¸Ĭ åİ» +æĸĩ çī© +è¯ ij +æĮ¯ åħ´ +éķ¿ æŶéĹ´ +ç¥ Ń +åIJĪ èĤ¥ +è¿Ŀ è§Ħ +èģ ª +ä½İ äºİ +éĢĤ å½ĵ +æľī åºı +æľ¬ ç½ij +çķĻ è¨Ģ +æĥ³ æ³ķ +çŃ¾ ç½² +å§ ļ +æĢ§ æł¼ +èĴĻ åı¤ +æŁ ı +åŀ « +åѦ åİĨ +ä»ħ ä»ħ +讲 è¯Ŀ +éĶ IJ +æĢ ĸ +åī ª +èĭ į +åIJ ĵ +强 çĥĪ +åģ¥ åħ¨ +çĸ ¯ +åı¤ 代 +å¥ Ī +ä¸į çĦ¶ +乡 éķĩ +æľĭåıĭ 们 +åĤ ħ +èģ ½ +个 æĢ§ +æ³ķ è§Ħ +å°ı éķĩ +çĶ» éĿ¢ +第 åħŃ +網 è·¯ +åīį æĻ¯ +åIJ¬ 说 +ä¼ł åªĴ +æĿ¡ ä¾ĭ +åĪ« çļĦ +ä¸į æĩĤ +顾 éĹ® +强 度 +éĺ¿ éĩĮ +èµ° åĬ¿ +å¸ ½ +çļĦ ç¡® +åĮº åĪ« +éĮ ¢ +主 管 +ä¸Ģ çľĭ +æĸ ľ +åŃĺåľ¨ çļĦ +ä» ² +åį± 害 +éĵ Ń +游æĪı ä¸Ń +éħ ± +é¾Ļ 头 +人 å¿ĥ +éĢĢ ä¼ij +æµı è§Ī +åĬ « +éĺ² æ²» +ç® Ń +å± Ī +è¾½ å®ģ +å£ ¤ +è¿İ æĿ¥ +éŀ į +çĶ¨ æĿ¥ +大 åľ° +ä» ° +éĢļ 讯 +å¼Ģ å·¥ +è£ ¤ +å¦Ĥ åIJĮ +éª ¤ +éĺŁ åijĺ +è½ © +ç¾İ æľ¯ +èĻ Ł +åIJĮ ä¸Ģ +åľ ĸ +书 æ³ķ +æīĵ åį° +åIJ« æľī +éĽĨ æĪIJ +éĹ · +å¸Ĥåľº ä¸Ĭ +æĹģ è¾¹ +åľ° æĿ¿ +产çĶŁ çļĦ +ç² ¤ +éĩį ç»Ħ +è¡Ģ 液 +çŃ ĭ +åĬŀ äºĭ +常è§ģ çļĦ +ä¸Ĭ åįĬå¹´ +å±ı å¹ķ +åIJī æŀĹ +å· © +åĸľ çĪ± +ç¿ ł +ä¸ī ç§į +æ¡Ĩ æŀ¶ +举 èİŀ +çĶĺ èĤĥ +èĬ ¬ +åĽ¾ 书 +åĩ¤ åĩ° +æ°Ķ åĢĻ +å° ´ +å° ¬ +两 天 +è¾ħ 导 +åĢŁ 款 +æĹ¥ èµ· +æ´ Ĵ +ä¸Ģ 度 +è¹ Ī +æ½ Ń +æī ĩ +çĻ ľ +æĸ° åħ´ +åĤ ² +诸 å¤ļ +è´ ª +éĻ· åħ¥ +èĪ Ł +èĤº çĤİ +ä¸Ģ æł·çļĦ +åİ ĺ +åľ° çIJĨ +æĬķ 注 +éļ Ĭ +åħī ä¼ı +ä¿Ŀ åģ¥ +åħ Ķ +åħ¬ åĬ¡ +æīĵ çł´ +çĶ· åŃ© +åĬ³ åĬ¡ +ä½ł ä¼ļ +çĶ¨ åľ° +æº ¢ +åıij è¾¾ +èĤ ļ +è¿ĩ äºİ +èĩ Ĥ +éĢĻ 樣 +è½» è½» +ä¸Ń åħ± +åIJĦ åĽ½ +åĶ ĩ +å®ŀ ä¹ł +èĻ ¾ +æ§ ½ +ä¸į ä¸Ĭ +åħį çĸ« +åįł æį® +å·¥ ä¼ļ +åĽ Ĭ +èĪª 天 +åı¯ çĪ± +æĸĹ äºī +çĺ ¤ +å¦Ĥ æľī +éĽ ĸ +对 æĪij +åĩº 秣 +好 çľĭ +太 大 +æ°´ åĪ© +åĬ¿ åĬĽ +åħ¨ æ°ij +ç½ ¢ +èµ¢ å¾Ĺ +çĶµ ä¿¡ +车 éĹ´ +æĻĤ åĢĻ +å°ij æķ° +éĵ ¸ +åħ³ èģĶ +ä¸įä»ħ ä»ħ +为 æĤ¨ +åĴ ¸ +æľº åĬ¨ +è£ Ļ +åĵį åºĶ +éģ ł +è² · +ç© ´ +å¢ ħ +éĶ ¡ +çµ Ħ +çģ« 车 +è³ĩ è¨Ĭ +åĨ³ èµĽ +污 æ°´ +èª ŀ +å´ Ľ +ç´§ å¯Ĩ +缺 å°ij +å¤ļ 人 +æĢ» 书记 +éĶ Ī +èij Ľ +å¿ĺ è®° +éĻĮ çĶŁ +éķ¿ 大 +åħĪè¿Ľ çļĦ +ç¡ ħ +åıij æĺİ +å©´ åĦ¿ +æīİ å®ŀ +èĽĭ çĻ½ +ä¸Ģ çĻ¾ +缮 åħī +æ ħĮ +åĬł æ²¹ +åIJ ŀ +ä¸Ģ 群 +ä¸Ń ä»ĭ +å¸ ĸ +å¿ Į +èģĮ èĥ½ +广 æĴŃ +çĽij å¯Ł +ç§ĺ å¯Ĩ +çĭ ® +è¿Ļ æĿ¡ +éĢ ¢ +æĢ ¨ +åįģ åħŃ +è© ¦ +说 åĪ° +åĩĿ èģļ +æĮĩ 示 +æ° ¢ +å¼ ĺ +éĺ Ģ +æĸ © +éł ħ +ä¸Ģ å¼Ģå§ĭ +æİĴ è¡Į +åľ¨ æĪij +纪 å½ķ +æĬ Ħ +æł ª +说 æ³ķ +ä¸Ń èį¯ +好 å¤ļ +åıª ä¸įè¿ĩ +çķĻ åľ¨ +个 å°ıæŶ +认 çŁ¥ +çķ « +è§ģ è¿ĩ +å°ı å¾® +ä½Ľ å±± +çľ ¾ +讲 è¿° +æ¢ ³ +称 åı· +æĹ¥ æĻļ +è¢ ĸ +åķ ¤ +æľª ç»ı +æľĢ æĹ© +æī® æ¼Ķ +è¡Ģ 管 +çº ± +æĥħ èĬĤ +第 ä¸ĥ +æį § +ä» Ĺ +æ¿Ģ çĥĪ +æĹł 线 +ä¸į 容æĺĵ +å¼Ģ å¹ķ +æĸ° çĶŁ +ä¸ĵ 注 +èij ± +åįĹ æµ· +çĩ Ł +èµ· ä¾Ĩ +æ´¾ åĩº +åĦ Ĵ +ä¾ ¨ +è¼ ĥ +åįļ è§Ī +éĢ ¾ +åĮ Ģ +ç»ıæµİ åѦ +æ¸ Ĺ +ä¿Ŀ èŃ· +çī º +çī ² +çİ « +çij ° +æľĢåIJİ ä¸Ģ +æĶ¿ åĬ¡ +æ§ Ľ +èĻķ çIJĨ +éļIJ æĤ£ +æī¿ åĮħ +æ¥ µ +æ¡ © +çĽ ² +导 åIJij +èĩ´ å¯Į +ç¼ Ĩ +æģĭ çĪ± +ä¸į åĬ¨ +ç»Ļ 人 +å· ¢ +表 æĥħ +举 åįĹ +åĨħ å¤ĸ +è¾Ī åŃIJ +åı ī +åįļ ä¼ļ +åĬŁ æķĪ +æ¸ ´ +å± ¬ +æİĴ éĻ¤ +éĢ Ľ +ä¸Ģ ä¼ļ +ä¸į å¼Ģ +å¼Ģ å¥ĸ +é»ij é¾Ļ +é»ijé¾Ļ æ±Ł +å¿« ä¸ī +度 åģĩ +åĿ ¤ +éĤ® 件 +æĩ Ĵ +ä¾Ľ çĶµ +å» £ +好 è¯Ħ +ç§ĺ书 éķ¿ +æĪĺ åľº +好 å¥ĩ +ä¾µ æĿĥ +æĨ ¾ +æľĢ åĪĿ +æī¹ åıij +åİ ķ +è¼ ķ +æŀ ¯ +ä¸ļ åĨħ +è´Ń æĪ¿ +ä¸į åľ¨ +纪 å§Ķ +æīĢ éľĢ +å¸Ĥ éķ¿ +è³ ½ +å¼ķ æĵİ +çģµ éŃĤ +éĬ Ģ +æ» ¤ +çĿ IJ +å¤ļ 项 +åĽŀ 头 +èī ĺ +å¤į å·¥ +éĥ¨ 件 +ç´§ ç´§ +æŁIJ ç§į +使 åħ¶ +æĸ° 人 +æŀ ļ +æ³ķ å®ļ +å·´ å·´ +涵 çĽĸ +ç¨ » +æĭ ¾ +æĻ ķ +è½ ¿ +éĢļ è¡Į +åĵ Ģ +æ³ Ĭ +温 馨 +éĽĨ èģļ +çĨ Ļ +åĩ ij +åįģ ä¸ĥ +æ°Ķ æģ¯ +æıIJä¾Ľ çļĦ +æ³ ³ +奥 è¿IJ +çģ¾ 害 +åĩĢ åĮĸ +è·¨ è¶Ĭ +åĵª æĢķ +éŁ ¿ +å¢ŀ æ·» +çĦ Ĭ +æ®ĭ çĸ¾ +ç¢ Į +æĤ Ķ +è§ģ è¯ģ +è¾ĸ åĮº +å¿ĥ èĦı +éļ § +åį ¸ +åı¯èĥ½ æĢ§ +æľī 趣 +åī¯ 书记 +åĮĸ å¦Ĩ +ä¿ Ĥ +æ£ ļ +éĨ ĩ +带 头 +éł Ī +追 究 +æij Ķ +è¿Ļ éĥ¨ +ä¸į 论 +ç¥ ¸ +å ³» +éģ ķ +çĶŁ èĤ² +å¤ ł +å¤ĸ 交 +è¯Ħ 为 +ä»İ å°ı +å°ı å°ı +é ¥¿ +æĴ ¼ +è·¨ å¢ĥ +被 åijĬ +åįĹ å®ģ +身 å¿ĥ +åĨį çĶŁ +æīĢ 说 +æŶéĹ´ åĨħ +åĪĹ åħ¥ +éĿĴ æµ· +çĪ± 好 +çª Ħ +èĪ Ī +è¿ĩ 渡 +æ¿ Ł +éĽ Ģ +审 è®® +åĽ½ èµĦ +æŃ¥ ä¼IJ +轨 éģĵ +ä¿¡ 念 +ä¸ī åĪĨ +çĨ ¬ +åѵ åĮĸ +ç¼ ł +éĥ Ĭ +èĪĴ æľį +纪 æ£Ģ +ä¸Ģä¸ĭ åŃIJ +鼻 話 +è² ł +éĴ ¥ +åĮ Ļ +çĹ ´ +è¶ ģ +ç» £ +çĪ µ +è½ ° +éª Ħ +å§ ¨ +æĭ ĺ +çĮ ´ +è® ¶ +è¿Ļ 座 +çį ¨ +æ·ĺ æ±° +çĹħ ä¾ĭ +æ²Ļ åıij +è§Ĩ 为 +头 æĿ¡ +å¿ħè¦ģ çļĦ +åı¯ è°ĵ +è¯Ŀ 说 +ç¯ Ħ +æĹ© çĤ¹ +æŀ¢ 纽 +ç¾ ¡ +çĪ± åĽ½ +çªģ åıij +éĢ Ĭ +æ½ į +èį£ èĢĢ +èŁ ¹ +æ¦Ĥ çİĩ +å¾Ī ä¹ħ +æĥ ķ +è¨ ´ +åľĨ 满 +çļ ± +åĪĨ æ³Į +åħħ 足 +çľĭ æ³ķ +è¾ Ł +æĭ ¦ +æĭ © +对 åºĶ +为 æł¸å¿ĥ +èħ Ĭ +å¤ļ ä¹Ī +æµ ij +å®ı è§Ĥ +èĦ ĸ +åIJĪ èµĦ +çĶŁ 涯 +å®ŀ è´¨ +ä¼ĺ çĤ¹ +çĶ¨ æ°´ +寿 åij½ +æ² « +åIJ ģ +è© ¹ +åĽ½ éĺ² +å´ © +åĿ İ +èĨ ı +ä¸Ģ è½® +éģĹ äº§ +æ¹¾ åĮº +ç» İ +åįķ 纯 +æ¾ Ħ +åīį åĪĹ +身 å½± +é»ĺ é»ĺ +æį ī +çĴ ° +èı Ĭ +æĢ ľ +åħĭ æĢĿ +æĢ» å±Ģ +çĩĥ æĸĻ +ä¸ļ æĢģ +åIJĦ æł· +åĴ ½ +åĩº èī² +åĪĿ å¿ĥ +åı Ľ +çłĶ 讨 +è¡ « +åİĨ ç¨ĭ +ç¦ ½ +è¶³å¤Ł çļĦ +èį Ĩ +çľĭ å¾ħ +è´ © +åĨ³ å¿ĥ +è£ ¹ +å¸Ī èĮĥ +åŀ Ħ +æĿ ł +åĩ ¸ +çĬ¹ 豫 +çĥŃ è¡Ģ +åIJĪ ä¼Ļ +éħ µ +èIJ½ åľ¨ +åįł åľ° +è¡ ¬ +èĵ ī +æĦ ¤ +æ¸ Ĭ +åĪĨ æķ° +ç¬ij çĿĢ +太 å¹³ +çĤ « +æݨ ä»ĭ +æĸ¯ åĿ¦ +å½¢ 容 +æĵ Ĭ +æĦŁ åħ´è¶£ +åĨĽ 人 +åĩĮ æĻ¨ +对 çħ§ +åıij çĹħ +å· ¾ +èĪ ī +æª ¢ +ç¬ij äºĨ +ç¡® è¯Ĭ +è´Ł åĢº +壮 大 +æĪ ļ +äºĴ èģĶ +èª ² +èħ ¦ +æĹ ± +åıĹ æ¬¢è¿İ +åį ī +éĻ¢ 士 +æ© ¡ +ä¸Ģ 对 +è¾ ± +æ² Ĥ +åı² ä¸Ĭ +æIJ ı +å´ ĸ +代 è°¢ +ç£ · +é¡ ĺ +æµ ĩ +常 çĶ¨ +åį ij +åĩº åĽ½ +è¯ ł +稳 æŃ¥ +ç»ı 纪 +å¤ļ å¤ļ +æīĢ å¾Ĺ +为 主é¢ĺ +ä¸Ģ åĪĨ +æł ½ +é¡ § +çº ² +åĥ ħ +å£ ĵ +åĦ ª +ç¿ ° +æİ Ģ +人 为 +åª ³ +æ´ ½ +èĿ ¶ +å¤į åħ´ +ä¼ļ å½±åĵį +åIJĦ çķĮ +éĤ£ ä¸Ģ +é¢ ¤ +çĢ ı +çĢı 覽 +å¯ ŀ +åı¯ æĢķ +åį³ æŶ +çķ ´ +ä¸ĭ åįĬå¹´ +ç¬Ķ è®° +éĻĦ åĬł +çĥŃ æ°´ +å¥ ¸ +ç£ ħ +æĿ ī +æ¸ħ åįİ +éĸ ± +ç° ¡ +å¤Ħ å¤Ħ +åIJĪ éĩij +æ²³ æµģ +ç´ ° +è´Ł éĿ¢ +çļĦ 羣å®ŀ +åĻ¨ 械 +èĴ IJ +西 äºļ +å· ħ +ç² ¹ +åİŁ æĸĩ +æŀ ķ +è¡Ģ åİĭ +åļ ´ +å¸ ĺ +åĨ Ģ +æĮ « +çĶµ è·¯ +å°ı ä¼Ļä¼´ +èĿ ´ +æľĢ å¿« +æĭ Į +å® ª +æĸ · +ç¿ ħ +åĴ ³ +åĹ ½ +ç¾ ŀ +躺 åľ¨ +èµĽ 车 +æ² IJ +éĻIJ 度 +为 ä¸Ģä½ĵ +èĴ ľ +å¹ « +æIJ ħ +åĭ ĭ +åī ĸ +纳 ç¨İ +éķ¿ æķĪ +ç½ ķ +åī¯ æľ¬ +ç© į +éĴ © +ç¹ ¼ +åĽ½ åľŁ +è¼ ī +ä¸į å¿ĺ +èѦ 示 +çģ ¿ +å¿ĥ å¾Ĺ +æĦ ļ +忽 çķ¥ +åĽŀ äºĭ +åįł æľī +æ· Ħ +çī ¡ +çĽij äºĭ +ç¿ ¡ +éĴĪ对 æĢ§ +çª ĥ +è£ ½ +èĨ Ŀ +ç³ Ł +港 æ¾³ +太 太 +æ¾ ¡ +ç»Ĩ åĮĸ +åĶ® åIJİ +å®ŀåľ¨ æĺ¯ +ç« £ +çį ² +åĢ¾ åIJij +å¼ķ çĶ¨ +é¹ ħ +ç¬ij 容 +ä¹IJ 趣 +æ°ij æĶ¿ +éŨ æĪ· +å± ģ +è¿· 失 +éĶ Į +å°ı 康 +åĭ ī +æ³ ¼ +ä¾ĭ åŃIJ +ä¸ī ä½į +å» ł +èĶ ĵ +广 éĺĶ +èĢ į +èĢģ èĻİ +åĭŁ éĽĨ +èĦļ æŃ¥ +æĭ ¯ +åŃĹ åı· +çĦ ° +é¢ ł +èļ Ĥ +èļ ģ +é£ ¯ +人 æĢ§ +æĴ ° +åİ ¢ +å±Ģ éĻIJ +æľª æĪIJ +åĵª åĦ¿ +大 åıij +ä¸į å®ļ +å¾ģ æ±Ĥ +éĥ µ +åĢº æĿĥ +çĪ± ä½ł +èº ģ +ä»ħ ä¾Ľ +è¿ľ å¤Ħ +éĨ Ľ +åĥ µ +积æŀģ æĢ§ +æİ ¡ +åīį ä¸ī +äºİ ä¸Ģä½ĵ +çŀ Ħ +çĿ ģ +æ² ¸ +åħ± èµ¢ +éĢĢ å½¹ +è´Ŀ å°Ķ +æİ ı +æĪ ² +è¡ į +éĶ Ĥ +ä¸ĩ ä½Ļ +ç§ij åĪĽ +æ¼Ķ åĶ± +欧 åħĥ +æ·¡ æ·¡ +éĿĴ å±± +èĹ Ŀ +ç» ½ +令 çīĮ +éĽĨ 群 +ä½ľ çī© +çĢ ij +å¤ ¯ +ç½ij 游 +åħ« 大 +éª ļ +èª ĵ +ä¼ļ å±ķ +åħļ åı² +æ£Ģå¯Ł éĻ¢ +åĸ ĺ +éĺ ± +èĢĮ åĩº +éĢļ 车 +éĴ ĵ +æĥħ 人 +æ¸ Ľ +ä¸Ń ç§ĭ +çĪ Ń +åıª åī© +æĺ Ķ +éĩİ çĶŁ +ç¡ « +èIJĿ åįľ +æĬµ æĬĹ +çĻ« çĹ« +éĻ Ģ +èĶ ļ +å¸ ľ +满 满 +èı ± +éļĨ éĩį +æĺŁ çº§ +æ½ ĩ +åħ¬ åħĥ +è° £ +æ¯Ķ äºļ +æ¡Į åŃIJ +èµ £ +è² ¼ +æĦ¿ æľĽ +é¡ ½ +æ´¾ éģ£ +ç¥ Ľ +åª ļ +éĺ ľ +èij « +èĬ ¦ +æ³ » +å¡ Į +çĭ Ń +å»ī æĶ¿ +å¥ij æľº +æĹĹ èĪ° +æĥ « +严 åİī +åıĭ æĥħ +å¦ Ĭ +å¨ ł +åĵª 家 +èĨ ¨ +è¶ Ł +æĮ ª +èĻ IJ +é łģ +çŀ © +éº Ł +ç¨ £ +èģĶ éĢļ +åı ® +çİĭ èĢħ +ä¸į ç¡®å®ļ +ç ijľ +è° İ +çī¢ è®° +ç¢ ¼ +æĬ¤ èĤ¤ +é¡ · +çĦ ķ +åģļ 强 +éļ± ç§ģ +éļ±ç§ģ æ¬Ĭ +åıĹ å®³ +ä¸į çĶ± +çĥ ¹ +é¥ ª +é© ³ +ä¼ ½ +ä¸Ŀ 绸 +è¥ Ħ +åįģ ä½Ļ +éº Ĺ +æ¬Ĭ åĪ© +èģ ŀ +åı¤ èĢģ +éģ ı +åIJĦ å¼ı +å°± è¡Į +åħ¥ å¢ĥ +ç ĥģ +èľ ĺ +èĽ Ľ +çº ¬ +çŁ « +è» Ł +æ´Ĺ è¡£ +æĦ § +é¢Ħ æ¡Ī +éľ Ĩ +æ·± åİļ +éĺ¿ æĭī +åĨĻ åŃĹ +åį ¦ +éķ Ģ +模 æł· +åĤ į +æIJ į +èĸ ¯ +åł ħ +åħ¬ 积 +è¨ İ +ä¼ł æŁĵ +æ¯ ¯ +çIJĨ å·¥ +åĨ· éĵ¾ +ç«ĭ æĸ¹ +æ¢ Ń +åľ£ è¯ŀ +综 èīº +çİ© ç¬ij +æĥ³ ä¸įåĪ° +æijĩ 头 +æ· ¹ +åģĩ æĹ¥ +åĢ ĺ +èĢ ½ +èİ ĵ +åŁ · +èĩª è´¸ +åįĬ 天 +æª Ķ +æ¾İ æ¹ĥ +éķ ij +ä¸ « +éĩĮ ç¨ĭ +å¼Ģ èįĴ +èı ı +å®Ŀ è´µ +èŃ ¬ +åķ Ł +æŁ ł +æª ¬ +é© Ń +æ± Ľ +çĨĬ çĮ« +èķ ī +éļı ä¹ĭ +å± ij +è¾ĥ 强 +èĥ ³ +èĨ Ĭ +éĿĻ éĿĻ +åĴ ª +æĭĽ åij¼ +代 è¨Ģ +ä¿¡ ç®± +è£ħ éħį +æĤ į +åįķ 车 +èIJ İ +å¤ļ 彩 +éĻ ¸ +ä»İ 严 +æ© Ħ +æ¦ Ħ +éĢ ® +éĩĮ æĸ¯ +姿 æĢģ +太 æŀģ +éĩ Ŀ +æº ī +è¿ Ń +ç§ ¸ +ç§ Ĩ +å·¥ å§Ķ +æ± ķ +èģ Ĩ +ä½ ¬ +ç¼ ħ +çĶ ¸ +åī¯ å±Ģéķ¿ +éĹ º +èª ¤ +è¤ IJ +ä¸į éĻIJ +èħ ķ +åij ķ +çŁ ¶ +åĨľ 家 +管 å§Ķä¼ļ +é¥ º +èĬ ľ +æ¾ Ī +è© ¢ +å¨ģ å°¼æĸ¯ +ä½ķ åĨµ +å°ı ä¼Ļ +奢 ä¾Ī +è¿Ļ ç¯ĩ +è¯ µ +ç«ł ç¨ĭ +ç´ Ģ +éIJ ĺ +éĤ ¢ +ç³ Ļ +ç¼ Ģ +ä¹ Ĵ +ä¹ ĵ +çī¢ åĽº +åĿ ŀ +å¼ Ī +ä¾ĭ å¤ĸ +å» ³ +è§Ħ ç«ł +èĬ Ļ +ç¯ · +èº ¯ +æł Ī +åĿļ å®ŀ +åŁº 建 +çĿĢ çľ¼ +ç· ´ +èij © +ç¼ ļ +æ¦ Ĩ +主 åĭķ +ç¥ Ģ +äºĴ éĢļ +å°¤ 为 +å® Ľ +éª ¼ +æ± ² +ä¾ ĥ +æĤł ä¹ħ +æij § +æĭ ĩ +é« ĵ +éº Ĵ +éĻ Ľ +æŀ ¸ +æĿ ŀ +è´ ¬ +å°ı é¾Ļ +åĵ ® +èĵ¬ åĭĥ +åĮ Ī +çķľ çī§ +å¨ © +个 å¤ļ +æ² ¥ +æĺ § +çĦ ļ +æĬij éĥģ +çĸ ¡ +èĺ ij +éģİ ç¨ĭ +æ© ± +éĿ ĵ +大 çIJĨ +é« ¦ +åĪĨ 辨 +æ¸ ¤ +çĸ ¤ +åĬ¨ èĥ½ +å¼ł 家 +ä¸ĩ åįĥ +æ» ¥ +é¥ ¥ +åºŁ å¼ĥ +å¸ ³ +æ¼ ³ +è± IJ +ä» ij +å« ī +å¦ Ĵ +çŀ Ĵ +è¡ ħ +çĭ ¸ +å¾ģ ç¨ĭ +éĤ ¯ +éĥ ¸ +ç¥ Ī +ç¥ · +è¶ ´ +ç»ĵæŀĦ æĢ§ +è§Ĩ åIJ¬ +è¬ Ŀ +çĴ Ģ +çĴ ¨ +åĩº å¤Ħ +è¯ Ģ +å¾ ĺ +å¾ Ĭ +çľ ¨ +åĸ ĩ +åı Ń +åĺ ² +çķ ¸ +å¹² äºĭ +æļ § +æ² Ľ +åĦ Ħ +å» ĵ +åİ¿ éķ¿ +èĥ ļ +çIJ ¢ +çŃ · +éĩ ĭ +ä¾ ® +åIJ © +åĴ IJ +åĮ ¿ +æĬ¬ èµ· +æ³ £ +æ¶ ¤ +éº ½ +æĽ Ļ +åī¯ éĻ¢éķ¿ +åħļ åĴĮ +æķ£ åıij +润 æ»ij +åĵ º +æĥ ¬ +漫 éķ¿ +ä¸į æĩĪ +åŁ ł +åĹ ĵ +èĢģ çĪ· +è® ½ +æĪĺ ç»ĦåIJĪ +æ£ ł +åħ¨ åŁŁ +èł ¢ +è¯ ¡ +åīį çŀ» +æķ Ľ +ä¸Ģ å°ģ +å¹ Ĥ +èİ Ĩ +è¯Ŀ è¯Ń +ç»Ĩ åĪĻ +å± ¿ +åµ Į +éĢ į +åĺ ± +æ¸ ² +çĥ ¯ +çĿ ¹ +é¦ Ĵ +èħ ¥ +æĬĹ åĩ» +çĿ « +èį Ķ +éļ İ +æ³ī æ°´ +è¬ Ĥ +ç Ĥ¬ +åĩı æİĴ +è¸ Ĭ +è ·» +æ· Į +éľ ¾ +å¥ĩ 纳 +å¯ Ŀ +æ¤ İ +æŁ ¬ +æĸ¯ åŁº +åħ¬ ç«ĭ +è¨ ĵ +é£ Ļ +é© ¿ +åĤ µ +èĽ Ļ +ç¯ĩ ç«ł +åĪĨ æĶ¯ +ä¸Ĭ å¹´ +çŃ Ŀ +ç¼ ¤ +èĢģ æŧ +åĻ ¬ +æľ ¦ +èĥ § +æ¶Ī è²» +æĵ Ķ +æ¦ ´ +æ¿ Ĵ +ç³ ¯ +æ³ ¸ +æį Ĩ +ç» ļ +èµ İ +çIJ IJ +èµ Ĥ +æħ ® +æ² Į +çĦ Ļ +æĴŃ æĬ¥ +æ· ĩ +åĪĩ åħ¥ +çij ķ +çĸ µ +éģ ´ +ç¨ ļ +ç© © +èŀ ĥ +æ£ ķ +æĨ § +æĨ ¬ +ä¼ º +æ¯ Ĺ +æį į +æĬ ī +ç´ Ĭ +å¼ Ľ +æĭ Ń +æĹı èĩªæ²» +åĿ · +ç« ¶ +è© ³ +è¿Ħ ä»Ĭ +è° ´ +çŀŃ è§£ +æŁ ¿ +é¢ Ĭ +ç° § +çĥŁ èĬ± +ä¾ ¥ +çĿ ¦ +éħ Ŀ +æ° ĵ +çIJ ī +å§ Ĭ +æ² ® +æħ · +èľ ķ +çij ļ +éĩĩ çŁ¿ +åł ° +åºķ èķ´ +èĨ ³ +è¾ ķ +éŁ Ń +åĴ Ļ +ç² ½ +åī Ķ +æ² ¦ +èĤ ´ +éķ ¶ +æĺ ¼ +è¾ Ĺ +å© ª +åĮ ® +æĸ ĵ +æ± ¶ +éĥ ´ +éł » +çª Ĵ +è¢ ± +åĽ ± +èĢ ĺ +è ļĮ +çĭ Ļ +çĹ ¹ +ç¥ ī +æı ® +æ· Ĩ +ç£ ĭ +éĺ ª +æ « +ã ¸ +Ļ ¶ +ã ij +𣠲 +ä ¢ +ã Ń +𬠨 +ð¬ Ģ +𬠮 +𬠯 +ð¬ ľ +𪠨 +ð« Ĺ +ð¬ Ĭ +𬠱 +ð¬ Ł +ä İ +ð ¡ +ä ĥ +ã ł +ð © +ð© ¾ +𬠺 +ð¬ Ļ +ãĢ Ķ +ãĢ ķ +çļĦ æŶåĢĻ +æľīéĻIJ åħ¬åı¸ +ä¹ĭ åIJİ +ä¸ļ åĬ¡ +åķ Ĭ +èĻ½ çĦ¶ +æĭ¥ æľī +äºĴ èģĶç½ij +éĤ£ äºĽ +ä½ł çļĦ +åĨ³ å®ļ +éĻ¤ äºĨ +åĽ¢ éĺŁ +åı¯ æĺ¯ +以 åIJİ +社 åĮº +çļĦ éĹ®é¢ĺ +并 ä¸Ķ +æķĻ å¸Ī +å°± ä¼ļ +天空 éĥ¨èIJ½ +æľĢ ç»Ī +å½ĵ çĦ¶ +ä¹Ł æľī +ç¡® ä¿Ŀ +æĥ³ è¦ģ +è´Ń ä¹° +人 çļĦ +åIJ ´ +çļĦ åıijå±ķ +ä¸į çŁ¥éģĵ +软 件 +æĪij们 çļĦ +çĪ¶ æ¯į +åī ij +èĢĮ æĺ¯ +å®ī æİĴ +åIJİ æĿ¥ +çļĦ åľ°æĸ¹ +èµ µ +èĢĥ è¯ķ +çªģ çĦ¶ +ä¸Ģå®ļ è¦ģ +åĪ¶ ä½ľ +è¯Ħ ä»· +åħį è´¹ +è´¹ çĶ¨ +绣 ä¸Ģ +çĦ¶ èĢĮ +è¿Ļ 次 +éĿĴ å¹´ +人 ç±» +äº ¦ +让 人 +è´Łè´£ 人 +éĩĩ åıĸ +çļĦ äºĭæĥħ +ä¹Ł ä¼ļ +车 è¾Ĩ +æĽ´ æĺ¯ +强 åĮĸ +æĪij åĢij +以 åīį +ä¼ĺ åĮĸ +å§Ķåijĺ ä¼ļ +åĽ° éļ¾ +å¹´ 度 +ä½į äºİ +æĮĩ åĩº +åĨį 次 +åĬŀ çIJĨ +æ¯ı 个 +对 æĸ¹ +è¿Ľè¡Į äºĨ +æľĢ é«ĺ +课 ç¨ĭ +身 ä¸Ĭ +æĽ¾ ç»ı +åĮ» çĶŁ +å®ī è£ħ +æľ ± +è¿IJ è¡Į +åıĮ æĸ¹ +æľĢ 大çļĦ +æŀĦ 建 +è¿ŀ ç»Ń +çļĦ å°ı +她 çļĦ +çŃī çŃī +æĶ¹ åĸĦ +åIJĦ ç±» +éģĩ åĪ° +æľī çĿĢ +人 çī© +æĢ» æĺ¯ +è¿ħ éĢŁ +åĪ¶ å®ļ +å®ĥ 们 +å®ĺ ç½ij +è¿ĺ è¦ģ +ç»Ī äºİ +æĪ¿ åľ°äº§ +è¯ģ æĺİ +èĤ¡ 票 +åºĶ å½ĵ +èĭ± åĽ½ +è¿IJ çĶ¨ +æľĢ æĸ° +享 åıĹ +让 æĪij +æĻļ ä¸Ĭ +å¾ ŀ +å°ı 说 +å°¤åħ¶ æĺ¯ +è®Ń ç»ĥ +åħ¨ å¸Ĥ +æĮij æĪĺ +æľī çĤ¹ +带 çĿĢ +çļĦ ä¸ľè¥¿ +é£İ æł¼ +é»Ħ éĩij +å¼ķ 导 +æѤ å¤ĸ +æľĢ è¿ij +追 æ±Ĥ +强 è°ĥ +ä¹Ł åı¯ä»¥ +æĦŁ åĪ° +èĩª æĪij +çī¹åĪ« æĺ¯ +æĪIJ éĥ½ +éĢIJ æ¸IJ +å¿« ä¹IJ +ä¹ĭ ä¸Ń +æĬķèµĦ èĢħ +ä»ĸ们 çļĦ +æ° ı +å·¥ä½ľ 人åijĺ +äºĨ ä¸Ģ个 +åķ ¦ +ä¸Ģ åĢĭ +åŁº å±Ĥ +æ²Ł éĢļ +第ä¸Ģ 次 +并 没æľī +çļĦ å·¥ä½ľ +åľ¨ è¿ĻéĩĮ +æŀ ª +æĶ¯ æĴij +æŶ å°ļ +æĿ¥ åĪ° +æĶ¶ è´Ń +éĿ© åij½ +æĺ¯ ä¸įæĺ¯ +讨 论 +ä¸ļ 绩 +å°± èĥ½ +ç«ĭ åį³ +è¡Ĺ éģĵ +åľ¨ ä¸Ģèµ· +æľĪ 份 +é«ĺ 端 +å¾Ī éļ¾ +ä¿Ħ ç½Ĺæĸ¯ +æīĭ 段 +åģļ åĩº +ä¼Ĺ å¤ļ +å®ŀ è¡Į +æīĵ å¼Ģ +游 客 +ä¾Ŀ çĦ¶ +å°± åĥı +离 å¼Ģ +说 éģĵ +æĸ° èĥ½æºIJ +æº ª +äº ķ +令 人 +ä¸Ģ åľº +æĪij æĥ³ +两 人 +èĩ³ å°ij +çļĦ çĶŁæ´» +æĺ¯ ä¸ª +èĭ± è¯Ń +æ²Ĵ æľī +æĢĿ èĢĥ +éĻIJ åĪ¶ +åı° æ¹¾ +ä¸Ģ æŦ +çļĦ ä¸Ģ个 +é«ĺ 级 +åĬŀåħ¬ 室 +å¾· åĽ½ +æĪij å°± +å®ļ ä½į +éĢĤ åºĶ +æĮĩ æłĩ +åħ¨ çľģ +ä¸Ĭ è¿° +å®ĥ çļĦ +åĽŀ 家 +欧 æ´² +éĵģ è·¯ +é¼ĵ åĬ± +çļĦ å½±åĵį +é«ĺ æł¡ +天 ä¸ĭ +é«ĺ è´¨éĩı +æĿŃ å·ŀ +èµĦ 讯 +æĶ¾ åľ¨ +æľī ä¸Ģ个 +å°± è¦ģ +ä¸Ĭ éĿ¢ +解 éĩĬ +éĢIJ æŃ¥ +å°½ 管 +æľī ä»Ģä¹Ī +çļĦ äºĭ +çĻ» è®° +人æ°ij å¸ģ +è§Ĥ ä¼Ĺ +è§Ĥ å¯Ł +çĶµ èĦij +çļĦ åIJĮæŶ +ä½ľ ä¸ļ +宣 å¸ĥ +çļĦ ä½ľçĶ¨ +åĽŀ æĿ¥ +éļ¾ 以 +æīĢæľī çļĦ +å°ı åѦ +æıIJ åīį +æ¤į çī© +åĩ ¯ +ä¸Ĭ äºĨ +å°± åľ¨ +åħĪ åIJİ +æīĭ æľ¯ +éĥ Ń +éĿ¢ åīį +æ¯ķ ç«Ł +äºĮ æĺ¯ +红 èī² +éĺ³ åħī +èĭ¹ æŀľ +å¾Īå¤ļ 人 +ç»Ļ æĪij +åĵ ¦ +çľ¼ çĿĽ +éł Ń +ä¸Ģ æĺ¯ +åıijå±ķ çļĦ +åıį åºĶ +æĪ¿ å±ĭ +æľŁ å¾ħ +ç§į æ¤į +æĸĩ åѦ +åį³ åı¯ +é¦ĸ 次 +èĭ± éĽĦ +å¤ļ 次 +åĮħ è£ħ +æ²³ åįĹ +ä¹ĭéĹ´ çļĦ +ä»į çĦ¶ +åIJ¬ åĪ° +èij£äºĭ éķ¿ +è§Ħ åĪĻ +ä¸Ģ 份 +大 ä¼Ĺ +使 å¾Ĺ +è¿Ľ åı£ +ä¸Ģ çīĩ +æĢ§ çļĦ +çļĦ 大 +æĪij æĺ¯ +äºĴ åĬ¨ +æ° £ +çļ Ĩ +åħ¬åı¸ çļĦ +ä¸Ģ è¾¹ +åıĬ åħ¶ +èī¯ 好çļĦ +æĭĵ å±ķ +å½ĵ å¹´ +广 åľº +åģļ äºĨ +åŁº äºİ +æıIJ éĨĴ +åħĦ å¼Ł +èĢģ æĿ¿ +è¿ij æĹ¥ +çĬ¶ åĨµ +注 éĩį +åĪļ åĪļ +è°ĥ çłĶ +å¿ĥ ä¸Ń +æĬĬ æı¡ +éļı åIJİ +ä¸į å¤Ł +åĪĽ ä½ľ +ç«Ļ åľ¨ +缸 äºĴ +çĸ«æĥħ éĺ²æݧ +å¹´ 代 +带 åĬ¨ +伤 害 +ç«Ł çĦ¶ +å¼ķ è¿Ľ +ç´¯ 计 +让 æĪij们 +åĽŀ æĶ¶ +æĬ¥ åIJį +åĬ© åĬĽ +èģĶ 缣 +çŃĸ çķ¥ +åij¨ è¾¹ +åĭ Ĵ +è¿ĺ åľ¨ +æµģ éĩı +寻 æī¾ +çĶµ åĬĽ +èĪ¹ èĪ¶ +è¿ĺ èĥ½ +æĭħ ä»» +çļĦæĥħåĨµ ä¸ĭ +çļĦ åİŁåĽł +缺 ä¹ı +çIJĥ åijĺ +å²ģ çļĦ +çĶ· åŃIJ +å·¥ èµĦ +è¿ijå¹´ æĿ¥ +åij Ģ +æıIJä¾Ľ äºĨ +她 们 +家 åħ· +çĩ ķ +è½» æĿ¾ +æł¡ åĽŃ +èĢĥ æł¸ +åį± éĻ© +åħļ ç»Ħç»ĩ +æĢ» ç»ıçIJĨ +çļĦ æĸ° +çİ» çĴĥ +è¿Ļ ä½į +对 æѤ +家 人 +çļĦ è¦ģæ±Ĥ +温 度 +æĮĩ æķ° +缴 åĪ° +æѤ æŶ +æ¹ĸ åįĹ +éĥ½ è¦ģ +ä½ľ åĩº +åIJĦ ä½į +èĢĥ çĶŁ +ä¾Ŀ æį® +说 è¯Ŀ +æĪij ä¹Ł +å·¥ åİĤ +åıĺ æĪIJ +ä»ĸ 人 +æĪij è§īå¾Ĺ +åIJĦ 级 +ä¼łå¥ĩ ç§ģæľį +ä¸Ĭ åįĩ +好 åĥı +åĬł éĢŁ +äºĮ åįģ +è¢ ģ +è£ħ 饰 +éĥ½ èĥ½ +ä¸Ģ å¼ł +åĬ¨ æĢģ +å¹´ çļĦ +è¿Ļ å°±æĺ¯ +ä¹Ł è¦ģ +èµĦ æł¼ +æĪĺ äºī +æĦŁ è°¢ +åŁ¹ èĤ² +天 æ°Ķ +女 士 +åı¯èĥ½ ä¼ļ +çļĦ 产åĵģ +ä¹Ł å°± +主è¦ģ æĺ¯ +åĪº æ¿Ģ +ç»Ļ ä½ł +大 æķ°æį® +åĮ» åѦ +åĪ ¤æĸŃ +ä»ĸ 说 +表 æ¼Ķ +äºļ æ´² +ä¸ĵ é¢ĺ +ç«ŀäºī åĬĽ +éĤ£ æł· +å±ķ å¼Ģ +å¹³ æŶ +æİ¥ ä¸ĭæĿ¥ +æī¿ 诺 +æ³ķ åĽ½ +åħ³ å¿ĥ +ä¼ļ æľī +éĤĢ 请 +é¢Ħ éĺ² +对 æİ¥ +好 äºĨ +åĴ± 们 +çļĦ æĦŁè§ī +æĢĿ è·¯ +éĥ½ 没æľī +çļĦ æĸ¹æ³ķ +女 åŃIJ +åı¸ æ³ķ +è¿ĺ ä¼ļ +è¶ĬæĿ¥è¶Ĭ å¤ļ +åĽł çĤº +æµ· åįĹ +人 æķ° +å°Ĩ ä¼ļ +ä¸ļ 主 +é¤IJ 饮 +å±ħ ä½ı +åıij åĩº +è¿ij æľŁ +å¼ķ é¢Ĩ +æľºåĻ¨ 人 +åĩºæĿ¥ çļĦ +çľĭ è§ģ +ä¿ Ĭ +让 ä»ĸ +ä¸į æĥ³ +å·¥ä½ľ çļĦ +è¡¥ åħħ +æµ ħ +çī¹ å¾ģ +ä¸Ĭå¸Ĥ åħ¬åı¸ +ç¾İ é£Ł +广 西 +æ¯ı ä¸Ģ个 +èIJ½ åľ° +åĵģ ç§į +åĴĮ è°IJ +å½» åºķ +é«ĺ èĢĥ +æĺ¨ å¤© +åīį å¾Ģ +çĽij æµĭ +çĻ¾ 度 +åľ¨ ä¸ŃåĽ½ +çļĦ éľĢæ±Ĥ +亿 ç¾İåħĥ +åѦ æľ¯ +æĶ¶ åĪ° +æĿ¿ åĿĹ +ä¸Ģ 段 +æŀĦ æĪIJ +ä¼ģä¸ļ çļĦ +表 éĿ¢ +æķ´ çIJĨ +ç»ĵ å©ļ +人 家 +åģľ æŃ¢ +åѦ ç§ij +æĺ¾ å¾Ĺ +ä¼ij æģ¯ +é¢Ħ æľŁ +æĪĸ æĺ¯ +çļĦ 主è¦ģ +åºĶ 对 +èµ° äºĨ +ä¸Ń éĹ´ +èµ° è¿Ľ +åijĪ çİ° +æIJŃ éħį +é¹ ı +æĺ¯ åĽłä¸º +æĥħ 绪 +å®ļ æľŁ +社ä¼ļ 主ä¹ī +çŃī 级 +磼 çĽ¾ +é£ŀ æľº +èĩ³ ä»Ĭ +æĶ¶ éĽĨ +çļĦ æķħäºĭ +åĪĩ å®ŀ +å®ŀçİ° äºĨ +å½¢ æĪIJäºĨ +åįĹ æĸ¹ +ä¸Ń åѦ +æµ· æ´ĭ +åIJ¦ åĪĻ +æĭį æijĦ +大åѦ çĶŁ +åĩºçİ° äºĨ +æĦı å¤ĸ +ä¹Ł èĥ½ +çļĦ èĥ½åĬĽ +åĿIJ åľ¨ +åĪĻ æĺ¯ +èĢĥ å¯Ł +å°Ĭ éĩį +éĺ² æŃ¢ +ç´§ å¼ł +读 书 +åĩº è¡Į +å°± æľī +å±¥ è¡Į +çݰ代 åĮĸ +åĽ½ åĬ¡ +åĽ½åĬ¡ éĻ¢ +ç»´ ä¿® +åİŁ åĪĽ +æĺ¯ æĮĩ +ä¼ij éĹ² +çĤ ® +æĸ° æĹ¶ä»£ +éĢĻ åĢĭ +ä¸į æķ¢ +å®Į ç¾İ +ç»Ĩ èĬĤ +éŃ ı +èĶ¬ èıľ +é¢Ĩ导 çıŃåŃIJ +è¶ħ 级 +è¡Į æĥħ +人工 æĻºèĥ½ +åį° 度 +åŁºç¡Ģ 设æĸ½ +åıĪ æĺ¯ +èį¯ çī© +åIJ¸ æĶ¶ +åį´ æĺ¯ +éĥ İ +å¥ĸ åĬ± +çļĦ æľĭåıĭ +ä¿Ŀ çķĻ +è§Ħ å¾ĭ +æĸ° çĸĨ +è¿ĺ åı¯ä»¥ +æİ¥ è¿ij +æѤ åīį +æī¹ åĩĨ +æĢİä¹Ī æł· +çļĦ ä½įç½® +ä¸Ģ åĿĹ +æĭĴ ç»Ŀ +顾 客 +ä¹Ł åľ¨ +ä¸Ģ çĶŁ +éĥ¨ éĺŁ +å¹´ åīį +æĸ¹éĿ¢ çļĦ +å°Ŀ è¯ķ +羣æŃ£ çļĦ +ç¦ģ æŃ¢ +è¿ĺ 没æľī +æ°ij çĶŁ +èµ° åIJij +èĦ¸ ä¸Ĭ +å½ĵ 天 +éĽĨåĽ¢ åħ¬åı¸ +çļĦä¸Ģ ç§į +西 æĸ¹ +åĽŀ åºĶ +ä¸Ģ 声 +常 常 +æıIJ åĪ° +èħ¾ 讯 +æľį è£ħ +为 ä½ķ +äºij åįĹ +å°± ç®Ĺ +ä¼ł æī¿ +åıį èĢĮ +ä¸ĩ åIJ¨ +è´¢ 产 +å¦Ĥ ä¸ĭ +æĹ¥ åīį +åİŁ æľ¬ +æľĢ éĩįè¦ģçļĦ +认 è¯ģ +ä¸Ģ éģĵ +ä¿¡æģ¯ åĮĸ +å¾Ĺ åĪ°äºĨ +éĢ² è¡Į +æĪij è¦ģ +éĢļ ä¿¡ +室 åĨħ +èµļ éĴ± +æĶ¶ èĹı +解åĨ³ æĸ¹æ¡Ī +æĪ¿ 产 +çĭ ¼ +æ´» åĬĽ +ç»ıæµİ åıijå±ķ +çŃī å¾ħ +ä¹Ł å¾Ī +åĿ ij +å¾Ī 好çļĦ +éļ¾ 度 +ä¸į å¦Ĥ +人æ°ij æĶ¿åºľ +åĩº åıij +åīį æľŁ +æ¼Ķ åijĺ +女 çĶŁ +èģļ çĦ¦ +审 计 +é¢Ħ æµĭ +ä¾Ŀ æīĺ +äºĶ å¹´ +è¡¥ è´´ +æ¸ħ æĻ° +éª Ĥ +çľĭ èµ·æĿ¥ +çļĦ åŃ©åŃIJ +é¢ij éģĵ +ä½ı å®ħ +éĿ¢ åIJij +æľĢ ä½İ +æĹ¢ çĦ¶ +ä¸Ģ å¥Ĺ +æķ° åѦ +群 ä½ĵ +åĮĹ京 å¸Ĥ +å±ħ çĦ¶ +æ°Ľ åĽ´ +éĢĶ å¾Ħ +çļĦ åŁºç¡Ģä¸Ĭ +èģĮ è´£ +åı¯èĥ½ æĺ¯ +åĨĽ äºĭ +æĪIJ æķĪ +åŃ©åŃIJ 们 +计ç®Ĺ æľº +èµ ¤ +产ä¸ļ åıijå±ķ +å·¨ 大çļĦ +å·¥ 人 +çĶŁ éķ¿ +éĥ½ åı¯ä»¥ +çļĦ æľºä¼ļ +èµĦ è´¨ +çĹĽ èĭ¦ +ç²ī ä¸Ŀ +å¢ ĵ +å¹³ å®ī +管 éģĵ +è·Ł çĿĢ +饮 é£Ł +åķĨ 家 +å¤ļ 家 +åı¸ æľº +åºĶ该 æĺ¯ +éĢı éľ² +认 å®ļ +è¡Įä¸ļ çļĦ +çļĦ ä¼ģä¸ļ +æ¯ı ä¸Ģ +èĮĥåĽ´ åĨħ +è¾ĥ 大 +è´ ¤ +大 èµĽ +å¤ļ äºĨ +é¸ ¿ +临 åºĬ +åľ¨ è¿Ļ个 +çļĦ åĨħ容 +éĶĢ éĩı +å¾Ī å°ij +åŃ Ł +ç»´ æĮģ +åĴĸ åķ¡ +æľ¬ åľ° +èī² 彩 +并 éĿŀ +èĢĮ å·² +温 æļĸ +èIJ § +æĬĵ ä½ı +èĢĮ ä¸įæĺ¯ +åĸ Ĭ +çļĦ åħ³ç³» +çī© åĵģ +éĤ£ æĺ¯ +åĨľ 产åĵģ +è¿Ļ æŶ +å©ļ 姻 +æ°´ æŀľ +æĶ¶ èİ· +ä»ĺ åĩº +客æĪ· 端 +æ¼Ķ åĩº +åħ¨ æĸ° +è¿Ļ ä¹Łæĺ¯ +æĺ¯ çĶ± +è§Ĥ 念 +æľī 个 +éĢł åŀĭ +èĥľ åĪ© +ä¸ī æĺ¯ +è¶ħ å¸Ĥ +åħļ建 å·¥ä½ľ +æĶ¾ å¿ĥ +线 è·¯ +æĭĽ çĶŁ +åIJĥ é¥Ń +è½ ī +å°½ éĩı +è§ģ åĪ° +åIJĮæ¯Ķ å¢ŀéķ¿ +åįİ ä¸º +æĪij å¸Ĥ +æıIJ åĩºäºĨ +æ°ij èѦ +åįļ çī© +åįļçī© é¦Ĩ +è¯ļ ä¿¡ +åīį éĿ¢ +å±± 西 +è¾ħ åĬ© +转 移 +æĽ´ 为 +丰å¯Į çļĦ +åį ¢ +å¿« éĢĴ +æĺ¾ èijĹ +çī© èµĦ +åĪ° è¾¾ +æľī åĪ©äºİ +åij Ĩ +åŃ©åŃIJ çļĦ +ä¸į ä½Ĩ +çłĶ究 éĻ¢ +çĶ³ æĬ¥ +æļ ¨ +æ°ij éĹ´ +åį » +çļĦ å£°éŁ³ +å¸Ĥåľº çļĦ +ä¸Ģ åı¥ +çľģ 级 +æĿ¥ çļĦ +åĵª 个 +æīį ä¼ļ +åĪĨ éħį +èĶ ¡ +ä»ĸ åľ¨ +åħ± æľī +å¡ ĺ +èĴ Ĥ +éľ į +åıĤ è§Ĥ +ä¸Ī 夫 +ä¾Ŀ éĿł +æľī æŶ +äºĨ å¾Īå¤ļ +ä¸ĸçķĮ æĿ¯ +家 æĹı +ä¸į éľĢè¦ģ +大 å¸Ī +èŀį åħ¥ +éĿŀ æ³ķ +çĹħ 人 +åIJİ æľŁ +大家 éĥ½ +ç½ij åĿĢ +åİŁ æĸĻ +便 å®ľ +æ¶ Ľ +仿 ä½Ľ +å·® è·Ŀ +åı¦ä¸Ģ æĸ¹éĿ¢ +产åĵģ çļĦ +èµ « +æĥħåĨµ ä¸ĭ +éĴ¢ éĵģ +æľ¬ ç«Ļ +纳 åħ¥ +å·² æľī +æľī 没æľī +ä¼° 计 +é£ ĺ +æľŁ è´§ +åĢĭ人 è³ĩæĸĻ +ä¸ĵä¸ļ çļĦ +çĪĨ åıij +èĩ´åĬĽ äºİ +çİ°åľ¨ çļĦ +æľī åĵªäºĽ +çł´ åĿı +æķ°åŃĹ åĮĸ +åľ° éĿ¢ +é»ij èī² +å¹¼åĦ¿ åĽŃ +çļĦ ç²¾ç¥ŀ +äº Ń +导 æ¼Ķ +çİ° æľī +æѦ åĻ¨ +èĭı å·ŀ +çİ Ħ +æ±Ł 西 +延 伸 +论 æĸĩ +è¾ĥ 为 +çİ© æ³ķ +é¼ İ +åIJĮ æŃ¥ +éĩĬ æĶ¾ +æĽĿ åħī +åĿļ åĨ³ +å§Ķ æīĺ +å°Ĩ åľ¨ +äºĪ 以 +ä½ľ æĸĩ +èĢĮ åľ¨ +ä¼ĺ åħĪ +åĽŀ åİ» +ä¿® å¤į +åĽ½åĨħ å¤ĸ +çŃĸ åĪĴ +åıij æĶ¾ +å¿ĥ æĥħ +çļĦ åİĨåı² +éĿ¢ è¯ķ +举 åĮĹ +ä¿¡ åı· +ç²® é£Ł +è¯ģ 书 +æŁIJ äºĽ +è¿IJ ä½ľ +åĨ² åĩ» +çĥŃ çĤ¹ +æŶ æŶ +æŶæŶ 彩 +åľ° çĤ¹ +ä¸Ģä½ĵ åĮĸ +éļ¾ é¢ĺ +æĽ ° +ç«ĭ åĪ» +æĺ¯ éĿŀ常 +åħ± åĴĮ +åħ±åĴĮ åĽ½ +æ¿Ģ åĬ± +æľīæķĪ çļĦ +å¤Ħ ç½® +该 åħ¬åı¸ +æ£Ģ éªĮ +èѦ æĸ¹ +è´ ¾ +äºĨä¸Ģ ä¸ĭ +ä»Ĭ åIJİ +çħ ® +çĶ¨ åĵģ +读 èĢħ +æĪij åľ¨ +åĽŀ å¤į +ä¸Ģ 座 +è¿ĺ 没 +å®ļ åĪ¶ +没 æĥ³åĪ° +å¤ ¹ +ä¼ł éĢĴ +ä¸Ģ 款 +强 大çļĦ +çļĦ è¡Į为 +å¤ı 天 +åıijåĬ¨ æľº +é¢ĨåŁŁ çļĦ +å®ŀéªĮ 室 +ä¸Ģ æĬĬ +æĺ¯ ä¸ºäºĨ +éĻķ 西 +æĭħ ä¿Ŀ +è¾¾ æĪIJ +è¦ģ æĺ¯ +æĺİ å¤© +ç»Ļ ä»ĸ +建ç«ĭ äºĨ +ä¸į è¡Į +ä¸Ń æĸĩ +åľ° 说 +åIJİ çļĦ +çĽij æݧ +éĢ ¸ +æĢ» éĥ¨ +æľ¬ æĸĩ +é¹ ¿ +æĻ¯ è§Ĥ +çļĦ 缮æłĩ +èĽ ĩ +åĨ ¯ +ä¸Ń åĮ» +æķĪ åºĶ +产 éĩı +åŃ Ŀ +è´¦ æĪ· +è¿Ŀ åıį +èij£äºĭ ä¼ļ +京 举 +责任 ç¼ĸè¾ij +åķı é¡Į +çĪ± å¿ĥ +èѦ å¯Ł +é¤IJ åİħ +å¸Ĥ æĶ¿åºľ +天 天 +æĸ° é²ľ +éĥij å·ŀ +è¶ħ è¶Ĭ +å½ Ń +çŁ¥è¯Ĩ 产æĿĥ +åĽŀ å¿Ĩ +è·¯ 线 +å»ī æ´ģ +éĿĴ å°ijå¹´ +åıĸå¾Ĺ äºĨ +çľĭ åĪ°äºĨ +é¦ ¬ +ç²¾ åĵģ +åľ° éĵģ +æĮģ æľī +ä¸ĭ äºĨ +æľī æŶåĢĻ +ä¸Ģ 人 +æĴ Ĵ +ä»Ķ ç»Ĩ +èĢģ åħ¬ +äºĭå®ŀ ä¸Ĭ +èģĶ èµĽ +ä¾ĽåºĶ éĵ¾ +é¢Ħ ç®Ĺ +åĪ¶éĢł ä¸ļ +å®īåħ¨ çĶŁäº§ +俱 ä¹IJ +俱ä¹IJ éĥ¨ +çļĦ æł¸å¿ĥ +æīĵ ç®Ĺ +å½± çīĩ +æIJŃ å»º +ä¹Ł ä¸įä¼ļ +æĭħ å½ĵ +å±Ĥ éĿ¢ +åѦ åijĺ +临 æŶ +缸 ç»ĵåIJĪ +对 æ¯Ķ +ä»ĸ æĺ¯ +æĸ° åĮº +è¿Ľ åİ» +çĻ¾ å¹´ +ä¿ © +å°½ å¿« +çĶµåŃIJ åķĨåĬ¡ +æĽ´ æľī +æ¸ħ çIJĨ +åı¦ ä¸Ģ个 +åĤ » +ä»Ģä¹Ī æł·çļĦ +æĺ¯ æľĢ +åij¨ å¹´ +å¾Ī 容æĺĵ +åĽ¢ ç»ĵ +ç´ Ħ +æĹ© å·² +çļĦ åıĺåĮĸ +éľ ŀ +æĹ¥ ä¸ĬåįĪ +失 åİ» +ä¸Ń åľĭ +çļĦä¸Ģ äºĽ +å°ı åŃ© +ä¸ĭ è·Į +éĶ» çĤ¼ +é ij +éij « +å¿ĹæĦ¿ èĢħ +èĤ¡ å¸Ĥ +èµĽ äºĭ +许åı¯ è¯ģ +åı¯ æĮģç»Ń +åijĬè¯ī è®°èĢħ +éĢ» è¾ij +å¼ķ åħ¥ +çļĦ è¿ĩç¨ĭä¸Ń +è§Ĩ è§ī +èĩªæ²» åĮº +è¯ģ æį® +è£ħ ç½® +第ä¸ī æĸ¹ +å¹´ æĿ¥ +å¹¿ä¸ľ çľģ +带æĿ¥ äºĨ +éķ¿ æ±Ł +访 éĹ® +å·® ä¸įå¤ļ +æĺ¯ æĪij +éģŃ éģĩ +æĬĵ 好 +é«ĺ è¾¾ +并 åľ¨ +èĩª è§ī +ä¾ĽåºĶ åķĨ +æĥħ æĦŁ +ä½ı äºĨ +çļĦ èģĮä¸ļ +çļĩ å¸Ŀ +西 éĥ¨ +åĴĮ å¹³ +çļĦ åĬĽéĩı +æ± ª +åħħåĪĨ åıijæĮ¥ +æĬķ è¯ī +èµ· åĪ° +äºĴ 缸 +æ¾³ éŨ +æİ¥ åĪ° +æ°´ æ³¥ +模 åŀĭ +ä¸Ģ åįĬ +秩 åºı +æĪij们 åľ¨ +æī¿ 认 +ä¸Ģ éĥ¨åĪĨ +åįł æ¯Ķ +å¦ĩ 女 +ç² ĺ +äºĨ解 åĪ° +ä¸Ģå®ļ ä¼ļ +åIJĦ 大 +èµ° åĩº +为 大家 +é«ĺ éĵģ +åı¯ä»¥ åľ¨ +ä½Ĩ åľ¨ +çĶŁæĢģ çݯå¢ĥ +èı ¯ +çļĦ ä»·æł¼ +麻 çĥ¦ +æ¿Ģ åıij +éĤ£ å°± +çļĦ æł·åŃIJ +为 æѤ +天 åľ° +çļĦ 缮çļĦ +åĢº åĪ¸ +å·² ç¶ĵ +åĽĽ 大 +åIJĮæŶ ä¹Ł +å½¼ æѤ +æĭ¿ åĪ° +åIJ« éĩı +åįģ 大 +éļ¾ éģĵ +å¼ Ĺ +ä¸Ģ 段æŶéĹ´ +çħ§ 顾 +æķ°æį® æĺ¾ç¤º +æĪIJ为 äºĨ +èµ° åĪ° +æľ¬ åħ¬åı¸ +ç»Ī 端 +ä¹Ł ä¸įæĺ¯ +头 åıij +大 约 +é£İ æĻ¯ +æ¶Ī èĢĹ +审 æŁ¥ +äºī åıĸ +æ³ķ æ²» +äºĭ çī© +ç¼ĵ 解 +æĥ ¨ +缸åºĶ çļĦ +çļĦ æķĪæŀľ +åıį å¤į +åıijçĶŁ äºĨ +éĢĻ äºĽ +ç»ĥ ä¹ł +åݨ æĪ¿ +å¼Ģ æĭĵ +欣 èµı +夫 妻 +ä¸į ä¸Ģæł· +产 èĥ½ +èĬ¯ çīĩ +è¦ģ ç´ł +åıį 对 +çİĩ åħĪ +è´§ çī© +æĹ¥ çĶµ +ä½ľ 家 +æĶ¹ è¿Ľ +æĪIJ åĪĨ +åĽł èĢĮ +åĩı èĤ¥ +æ½ ĺ +å±±ä¸ľ çľģ +åĬ Ŀ +åŁ ĭ +æѦ è£ħ +æ±ĩ æĬ¥ +ä¸Ģ个 æľĪ +çĥŃ éŨ +大 éģĵ +æ´» åĭķ +éĥ½ å¾Ī +çĶµ 梯 +ç´§ æĢ¥ +åĢº åĬ¡ +客 æľį +ä¸Ģ éĥ¨ +ä½ł æĺ¯ +çİ° çĬ¶ +æŃ£ç¡® çļĦ +ä¹ĭ å¤Ħ +ç¼ĸ åĪ¶ +ä½ł åı¯ä»¥ +çŃī åľ° +èİ ī +对 è¯Ŀ +æ·ĺ å®Ŀ +è°ĥ èĬĤ +æİĴ æĶ¾ +åºĵ åŃĺ +ç´ ļ +çļĦ ä¼ĺåĬ¿ +æĿĥ å¨ģ +以ä¸ĭ ç®Ģ称 +ä¸Ģ 项 +èģļ éĽĨ +ä¼łç»Ł çļĦ +æ·· åIJĪ +è¿Ļä¸Ģ çĤ¹ +ä¸Ģ çľ¼ +æĹł éĻIJ +èİ·å¾Ĺ äºĨ +éĢī æīĭ +åĪ¶ åĵģ +åįı ä½ľ +çĭ¬çī¹ çļĦ +ä¸Ģ 级 +è¿Ļ个 éĹ®é¢ĺ +æĸ Į +æĺ¯ æĪij们 +æķĮ 人 +æ¸ħ æ´Ĺ +ä¸Ģ缴 åľ¨ +å°ı ç±³ +çļĦ è¿ĩç¨ĭ +åľ¨ åĮĹ京 +ä¸Ģ æĶ¯ +æĹ© ä¸Ĭ +æĸĩ èīº +ç¦ı åĪ© +é£Ł çĶ¨ +æĦŁ åĬ¨ +åħ¨ ç¨ĭ +æĶ¯ åĩº +æĸ° 建 +å¸ ķ +æĺ¾ çĦ¶ +羣 çļĦæĺ¯ +æĸ°éĹ» ç½ij +èĥ½ åIJ¦ +åįı åĬ© +亲 èĩª +å¾Ī æľī +çĻ¼ å±ķ +æĦı 大 +æĦı大 åĪ© +çĶµ ç½ij +æĹ¥ çĽĬ +çĨ ± +èĤĮ èĤ¤ +çĶ· æĢ§ +ç»Ħ 建 +çŃī éĹ®é¢ĺ +æ¶Ī éĻ¤ +æĬ¤ çIJĨ +å¡ij æĸĻ +ä¹Į åħĭ +ä¹Įåħĭ åħ° +åķĨ æłĩ +çIJ ³ +æĸ° æīĭ +çļĦ çī¹çĤ¹ +åĴ ¬ +å½ĵ ä¸ĭ +设计 å¸Ī +èµĶ åģ¿ +第 åįģ +æĻºèĥ½ åĮĸ +å¼Ģåıij åĮº +åı¯ä»¥ éĢļè¿ĩ +åħ±äº§ åħļ +åİī 害 +çģµ æ´» +æŶ åħī +éĥ¨ ä½į +人 æĸĩ +è¿Ľ æĿ¥ +ä¹ĭ æīĢ以 +ä¸ī åįģ +çļĦ åѦçĶŁ +éĺ² æĬ¤ +åĽ½ 产 +æ·±åľ³ å¸Ĥ +éĤ£ å°±æĺ¯ +åĪ° ä½į +çī¹ æľĹ +çī¹æľĹ æĻ® +å®ŀ æŶ +åı° çģ£ +èĢĮ ä¸į +æĮĩ å®ļ +åĿ Ŀ +èħIJ è´¥ +çī¹ å®ļ +å¢ŀ éĢŁ +æłĩ çŃ¾ +æĪ¿ ä»· +æĦ ģ +贯彻 èIJ½å®ŀ +æĢ§ è´¨ +çłĶ究 çĶŁ +ç¾İ 容 +æī¹ è¯Ħ +究 ç«Ł +人åĬĽ èµĦæºIJ +éĸĭ å§ĭ +åĽŀ å½Ĵ +èIJ¥ åķĨ +èIJ¥åķĨ çݯå¢ĥ +ä¸ŃåĽ½ 人 +çļĦ åŁºæľ¬ +è¯Ŀ é¢ĺ +æłĩåĩĨ åĮĸ +西 èĹı +åĭ ¾ +çļĦ 设计 +ç®Ģåįķ çļĦ +å¤į åĪ¶ +æ¸IJ æ¸IJ +以 å¤ĸ +èģĶ åĬ¨ +两 次 +æĢ§ åĴĮ +æĽ´ 大 +çļĦ åIJįåŃĹ +éŁ ¦ +ä½ł è¦ģ +å¢ĥ å¤ĸ +æĹ© æľŁ +åĪĿ æŃ¥ +è´¦ åı· +害 æĢķ +æĺ¨ æĹ¥ +åĪļ æīį +ç¥ŀ ç§ĺ +ç²¾ å¿ĥ +æµģ éĢļ +åħ¨ æĸ¹ä½į +以 å¾Ģ +ä¹Ł å°Ĩ +æĺ¯ ä¸ŃåĽ½ +åĽ½å®¶ 级 +å°Ĩ åĨĽ +æij Ĭ +æľĢ 为 +第ä¸Ģ æŶéĹ´ +æ¶Ī æ¯Ĵ +å°Ĩ äºİ +å¨ģ èĥģ +èĭ± æĸĩ +æīĭ ä¸Ń +çIJĥ è¿· +è§Ĥ çľĭ +离 å©ļ +æľ¬ åľŁ +åĪĨ æķ£ +æĻ ´ +è¦ģ 注æĦı +浪 è´¹ +管 æݧ +åĩº åĶ® +æĢ» è£ģ +ä¸Ģ éĺµ +å¨ ĩ +äºĶ 个 +å½ĵ åĪĿ +çºł 纷 +ä¸ĵ çĶ¨ +å¤ĩ æ¡Ī +åĪĿ æľŁ +å®ĥ æĺ¯ +åĮº åĿĹ +åĮºåĿĹ éĵ¾ +大 è¿ŀ +è¿Ļ ç±» +åıĺ æĪIJäºĨ +éĤĦ æĺ¯ +åįļ 客 +çı¾ åľ¨ +ä¸Ģ æĸ¹ +å®ĮæĪIJ äºĨ +è¿Ļ个 æŶåĢĻ +åħ¨ å¹´ +ä¸Ĭ 线 +ç½ IJ +ç«ŀ èµĽ +åĩºçīĪ 社 +åĵ¥ åĵ¥ +å¯ « +å¾Ĺ 以 +èĬ± åĽŃ +äºĨ èµ·æĿ¥ +èĦ±è´« æĶ»åĿļ +çļĦ åİŁåĪĻ +讲 解 +æ¶Ī åĮĸ +æįŁ 害 +æļĤ æŶ +å¾Ĺ çŁ¥ +éĢĤ çĶ¨ +éŨ åºĹ +解 读 +æĻ® åıĬ +人æ°ij æ³ķéĻ¢ +åī¯ 主任 +å¿ĥ çģµ +è¯Ĭ æĸŃ +ç¾İ 女 +æŁ ¯ +å¹´ 以æĿ¥ +æ´» è·ĥ +åĢŁ åĬ© +åħ± 建 +è¯ī 讼 +æĶ¾ æĿ¾ +çªĹ åı£ +ä¼ģ æ¥Ń +åĬł æĭ¿ +åĬłæĭ¿ 大 +ä¹° äºĨ +主 æµģ +æĩĤ å¾Ĺ +å°Ĩ åħ¶ +éĢı æĺİ +å·¥ä½ľ ä¸Ń +èĤ¡ ä»· +æ¡£ æ¡Ī +没æľī ä»»ä½ķ +åijĬ çŁ¥ +å¹´ åĪĿ +æĹ¥ ä¸ĭåįĪ +åİĤ åķĨ +èĬĤ å¥ı +主 导 +è£ Ŀ +åħ³éĶ® è¯į +èģĬ 天 +åĨĻ ä½ľ +æĶ¹éĿ© å¼ĢæĶ¾ +æľī æľĽ +éĢļ æĬ¥ +èIJ Į +æĢ» é¢Ŀ +çŁŃ æľŁ +ä¸Ģ çķª +çĶŁæ´» çļĦ +åĮĸ çļĦ +æĺ¥ å¤© +è¿Ļ åľº +æĸ°å¼Ģ ä¼łå¥ĩ +æĺ¯ è¦ģ +å°ļ æľª +åıĺ æĽ´ +ä¸Ģ åij¨ +客 è§Ĥ +æĹ¥ èĩ³ +é¹ ° +çİ ² +å°Ĩ æĿ¥ +客 人 +åıĺ éĿ© +说 äºĨ +åİŁ çIJĨ +èģĮ åĬ¡ +åıĪ æľī +ä¸Ģ åı¥è¯Ŀ +æĦŁ åıĹåĪ° +ç¬Ķ èĢħ +移 æ°ij +西 åįĹ +ä¹ĥ èĩ³ +æŃ£ è§Ħ +åĪĿ ä¸Ń +çĬ ¬ +å½ĵ äºĭ +å½ĵäºĭ 人 +æĪij们 è¦ģ +åħ¥ åı£ +éĤ£ æŶ +æľīéĻIJ 责任 +å°ij 女 +è¿Ļä¹Ī å¤ļ +åĪĨ åħ¬åı¸ +å®ĩ å®Ļ +çļĦ éĢīæĭ© +å§IJ å§IJ +åıij èµ· +è» į +æĽ´å¥½ åľ° +éĻĨ ç»Ń +æľ¬ æľįåĭĻ +å« © +赶 ç´§ +èĦĤ èĤª +第äºĮ 天 +æĪij ä¼ļ +两 ä½į +æķ ² +åħ¬å®ī æľºåħ³ +ç§ijæĬĢ åĪĽæĸ° +å°º 寸 +è¾IJ å°Ħ +å®Ĺ æķĻ +转 æį¢ +åĩº çİ°åľ¨ +ä¸Ģ é¢Ĺ +æľŁ éĻIJ +åIJĮåѦ 们 +åĮĹ æĸ¹ +ä½ł å°± +ä¸Ģ带 ä¸Ģè·¯ +èĢģ å©Ĩ +游æĪı çݩ家 +çļĦ ç»ĵæŀľ +è¡¥ åģ¿ +å¤ĸ è´¸ +对 å¾ħ +ç»´ çĶŁç´ł +ç»ıéĶĢ åķĨ +è¿ĺ å°Ĩ +åŃIJ 女 +æĽ´ é«ĺ +ä¸į 大 +éī´ å®ļ +让 ä»ĸ们 +æīĢè°ĵ çļĦ +æŃ» äºĨ +帮 æī¶ +åĵ² åѦ +以ä¸Ĭ çļĦ +çļĦ åħ³éĶ® +æĹ© å°± +æĬ¥ ä»· +éģµ å®Ī +æī© å¼ł +æĺ¯ å¾Ī +å¼Ģ éĢļ +æĸ° åĬł +æĸ°åĬł åĿ¡ +ç¿» è¯ij +询 éĹ® +é¸ Ń +ä½ĵ åĨħ +两 个人 +çĪ ¹ +éľ ľ +乡æĿij æĮ¯åħ´ +çĿ¡ è§ī +å®ĺ åijĺ +åĪĽ å§ĭ +åĪĽå§ĭ 人 +ä¼Ĺ 人 +åį³ 便 +çĸ« èĭĹ +ä¼ģä¸ļ 家 +æ¸ £ +ç²¾ åĬĽ +å¤ĸ éĥ¨ +èģª æĺİ +è¿Ļ ä¹Ł +å½ķ åıĸ +åĨ² çªģ +åħ¨ 身 +åŃ£ èĬĤ +忽 çĦ¶ +çļĦ æĢģ度 +åĤ¨ å¤ĩ +ä¿Ŀ åħ» +çļĦ æĥ³æ³ķ +ä¸Ĭæµ· å¸Ĥ +æIJº æīĭ +çļĦ ä¿¡æģ¯ +åķĨ åľº +çļĦ æĢĿæĥ³ +æĿĥ åĬĽ +毫 æĹł +æĢĢ åŃķ +硬 件 +åĨħ èĴĻåı¤ +æİ¢ 讨 +åħ» çĶŁ +çļĦ 表çİ° +空 ä¸Ń +æģIJ æĢĸ +å¾Ī é«ĺ +ç»ıæµİ 社ä¼ļ +ä¸Ĭ æĿ¥ +延 ç»Ń +éĩį å¤į +éĺ² èĮĥ +çļĦ å½¢å¼ı +æľĪ åºķ +èĢģ 年人 +绿 åĮĸ +å±± åĮº +æĭ¿ åĩº +æĹħ 客 +æĽ´ æį¢ +åħ¬ 主 +èĬĤ 约 +åħ¨ åİ¿ +åĽŀ æĬ¥ +çIJĨ æĢ§ +çĸ¯ çĭĤ +æ¶ī å«Į +åī§ æĥħ +åĨ¬ åŃ£ +åIJİ ç»Ń +è¿Ļæĺ¯ ä¸Ģ个 +æ¼Ķ 讲 +ä¸Ģ å±Ĥ +æľīåħ³ éĥ¨éŨ +æĹł å¥Ī +ç§į ç±» +缸åħ³ çļĦ +æĪĸèĢħ æĺ¯ +æī¶ æĮģ +å¤ļ æķ° +çļĦ ä½ľåĵģ +ä¸ĭ ä¸ĢæŃ¥ +å¸Ī åĤħ +é«ĺéĢŁ åħ¬è·¯ +好 åıĭ +ä¼ĺç§Ģ çļĦ +è¿Ľ äºĨ +æģIJ æĢķ +äºĨ åIJ§ +大 è§Ħ模 +çļĦ ä¸ĸçķĮ +æĢĢ çĸij +å· · +åħ´ å¥ĭ +æĪ ° +æĿij éĩĮ +æľĭåıĭ åľĪ +åĨ¬ 天 +ä¸Ńåįİ äººæ°ij +åįı åķĨ +è¯Ħ éĢī +æĹ Ń +å¢ŀåĬł äºĨ +åıĹ ä¼¤ +ä¸Ģ èĤ¡ +便 æį· +ä¸ ij +é¹ ¤ +å¤ĸ è§Ĥ +å·¥ç¨ĭ å¸Ī +åĴĮ åħ¶ä»ĸ +è¿Ļ å°± +ä¸Ńå°ı ä¼ģä¸ļ +西 åĮĹ +åĽ½æľī ä¼ģä¸ļ +èĭ¥ æĺ¯ +åı¯ æĥľ +çĶŁ æĹ¥ +åĩ ½ +ä¹° åįĸ +ç¥Ŀ ç¦ı +人æ°ij 群ä¼Ĺ +åħī æĺİ +åħ¬ å¯ĵ +æĺ¯ è°ģ +æĪij çŁ¥éģĵ +è¯Ń æĸĩ +æķı æĦŁ +ä¸įéĶĻ çļĦ +æĿ¥ 讲 +æ³¢ åĬ¨ +çļĦ 第ä¸Ģ +åľ° éľĩ +åľ¨ åħ¨åĽ½ +骨 å¹² +å®ī ç½® +家 çĶµ +ä¸İ æѤ +ä¸İæѤ åIJĮæŶ +åıĹ çģ¾ +çĥŃ çº¿ +çļĦ æĬĢæľ¯ +æµĭ éĩı +ä¾Ŀ èµĸ +ä¸ŃåĽ½ çļĦ +çī¹ æĢ§ +è¾ĥ é«ĺ +è¸ © +ä¼ļ åľ¨ +建 éĢł +导 èĪª +æĥ³ èµ· +åħ¨ ä¸ĸçķĮ +建 æĿIJ +ç¯ Ģ +çļĦ åŁºç¡Ģ +èĩªåĬ¨ åĮĸ +åīį åIJİ +çĿ¡ çľł +æݨ è¡Į +æį® äºĨ解 +ä»Ģä¹Ī æŶåĢĻ +ä¸į åĸľæ¬¢ +çħ¤ çĤŃ +éĤ£ä¹Ī å¤ļ +å¸Ĥåľº åĮĸ +ä¸į管 æĺ¯ +ç«ĭ åľº +éĥ½ 没 +课 é¢ĺ +æĪij们 å°Ĩ +è¿ĩ çļĦ +åĨį åĬłä¸Ĭ +çĪ ¾ +身 æĿIJ +çĶ· 女 +è¿ľ è¿ľ +çĶ· çĶŁ +èĩªèº« çļĦ +è´Ł æĭħ +çĻ¾ ä¸ĩ +西 çıŃ +西çıŃ çīĻ +åĩĢ åĪ©æ¶¦ +æ¾³ 大 +澳大 åĪ©äºļ +ä¸į åİ» +æī¿ åıĹ +楼 çĽĺ +å¢ĥ åĨħ +æ·· åĩĿ +æ··åĩĿ åľŁ +æĢĿæĥ³ æĶ¿æ²» +å¸Ĥ åĮº +æĭĽ æłĩ +åĽ¢ ä½ĵ +è¿Ľ 度 +åĨĽ éĺŁ +åıį å¼¹ +äºĨä¸Ģ äºĽ +æİ¥ å¾ħ +çļĦ åŃ¦ä¹ł +éħį éĢģ +é£Łåĵģ å®īåħ¨ +æĽ¿ 代 +æĺ¯ ä»¥ +éĢļ çĶ¨ +çłĶ究 æīĢ +ç¦ ħ +æī Ķ +éļĶ 离 +ä¸ĩ å¹³æĸ¹ç±³ +çļĦ è§Ħå®ļ +ç»Ļ æĪij们 +æ¿Ģ åħī +ä¼ļ åĩºçİ° +çŁŃ ä¿¡ +ç©¿ çĿĢ +æ²Ī éĺ³ +æķĻ æĿIJ +éĺ² çĸ« +ä¼ĺ èī¯ +约 å®ļ +æĪij çľģ +åħ¬ æ°ij +éģ¸ æĵ +éģ¸æĵ ĩ +å·² æĪIJ为 +ä¸į å¿ħ +ç¥ĸ åĽ½ +并 æľª +åľŁ 壤 +å¾® ç¬ij +äºĭä¸ļ åįķä½į +çļĦ 游æĪı +åħ¬ 示 +åIJĪçIJĨ çļĦ +çª Ŀ +æ°Ķ 象 +家 ä¸Ń +亮 缸 +åį« æĺŁ +è®° è½½ +è§Ĩ éĩİ +åľ°åĮº çļĦ +ä½Ĩ ä»ĸ +èĤĮ èĤī +äºı æįŁ +åĬŀ åѦ +ä¸Ģ è¡Į +è¯ŀ çĶŁ +åıijå¸ĥ çļĦ +çļĦ æľįåĬ¡ +çļĦ çłĶ究 +åij¨ æľ« +产ä¸ļ åĽŃ +é«ĺ 温 +æĪIJåĬŁ çļĦ +æŃ¥ 骤 +åŃĺ åĤ¨ +åŃIJ åħ¬åı¸ +让 她 +ä¸Ń æľī +åĺī 宾 +å¦ ® +æĺİ å¹´ +äºĨ åIJĹ +äºī è®® +æĪ Ī +ä¸Ģ æľ¬ +ç¾İ丽 çļĦ +ä½ł 说 +大 人 +æĶ» çķ¥ +ä¸į æľĥ +å¾ħ éģĩ +ä¸Ģ è¾Ĩ +çīĪæĿĥ æīĢæľī +æ°ij ä¼Ĺ +åĬŁ 夫 +å±ķ ä¼ļ +大 èĦij +æ¯ı æľĪ +å°ı 麦 +æµĻæ±Ł çľģ +çļĦ æīĢæľī +ä¸ĭ æ»ij +èĵĿ èī² +è¦ģ æĥ³ +åѦçĶŁ çļĦ +å½ĵ ä½ł +ä½ľ æĪĺ +家 乡 +å¤ļ åIJį +é«ĺ äºİ +åĿļ 强 +è¿ŀ éĶģ +åIJİ æŀľ +人 äºĭ +ç´ ħ +æ¿Ģ åĬ¨ +è¿Ľ æĶ» +ç© Ĩ +ä¸ ĺ +让 èĩªå·± +以 æѤ +夫 人 +å¼Ģ 设 +æ°Ķ è´¨ +鸡 èĽĭ +çĦ¡ æ³ķ +åIJĥ äºĨ +åĪĨåĪ« 为 +èģĶåIJĪ åĽ½ +å½ĵ 代 +å¦Ĥæŀľ æĺ¯ +è¿ľ ç¨ĭ +åĸ Ĥ +è®° ä½ı +æ¸ħ åįķ +åIJĪä½ľ ä¼Ļä¼´ +åİ» åģļ +æķħ éļľ +模 æĭŁ +å¸Ī çĶŁ +åīį æĿ¥ +çĶµè§Ĩ åī§ +çĥŃ çĪ± +éľ² åĩº +é«ĺ å±Ĥ +çĶµ åĻ¨ +纪 å¾ĭ +å¼Ģåıij åķĨ +éķ¿ å®ī +è½½ ä½ĵ +çļĦ å°±æĺ¯ +被 人 +åıĹ çIJĨ +篮 çIJĥ +èİ İ +交 ç»Ļ +æľªæĿ¥ çļĦ +两 大 +åIJķ å¸ĥ +çŃī 人 +çļĦ æĹ¥åŃIJ +åIJĪä½ľ 社 +æĮij éĢī +åŃĺ 款 +ç³»ç»Ł çļĦ +æĬĬ å®ĥ +没æľī ä»Ģä¹Ī +ä»İ æѤ +ä¸Ń åįĪ +çĸ¼ çĹĽ +å·© åĽº +浪 漫 +缸åħ³ éĥ¨éŨ +éķ¿ åŁİ +纤 ç»´ +ä¸Ĭ éŨ +çĪĨ çĤ¸ +èµ· çĤ¹ +çļĦ éĢļçŁ¥ +èĢĮ æĿ¥ +çļĦ èĢģ +æīĭ éĩĮ +è¯Ń éŁ³ +è¾Ľ èĭ¦ +æ±Łèĭı çľģ +çĶ¨ äºĨ +身份 è¯ģ +æľī åĬ© +æľīåĬ© äºİ +çī© èģĶç½ij +åĩº éŨ +å¼Ł åŃIJ +æĥ ¹ +è¿Ļ件 äºĭ +æĪij们 åı¯ä»¥ +çļĦ çĶŁåij½ +æľīä¸Ģ ç§į +åºĹ éĵº +åıĮ æīĭ +çļĦ æ¶Īæģ¯ +èĢIJ å¿ĥ +å°´ å°¬ +éĤ£ 天 +é¦ĸ æī¹ +æĺ¯ä¸Ģ 家 +人 æ°Ķ +åıį æŃ£ +æĪij åĴĮ +å®ł çī© +ä¸į 对 +寻 æ±Ĥ +缸 ä¼¼ +åľ¨ ç¾İåĽ½ +åı« åģļ +åĹ İ +ç«ĭ 足 +çĶ¨ éĢĶ +åħ Ĩ +大 æ°Ķ +åIJij ä¸Ĭ +ä»ĸ å°± +é¡¹çĽ® 建设 +èĭ¥ å¹² +æĺ¯ æľī +æ¿Ģ æĥħ +çļĦ æĦıä¹ī +æĺ Ń +严éĩį çļĦ +å¯Ĩ éĽĨ +èĪŀ è¹Ī +èį£ èİ· +èİ· æĤī +æ±Ł åįĹ +åģĩ å¦Ĥ +æĪ· å¤ĸ +线 ç´¢ +ç§ģ 人 +转åŀĭ åįĩ级 +çļĦ ä»·åĢ¼ +åįķ çĭ¬ +èĢģ çĻ¾å§ĵ +å°į æĸ¼ +åĽ½éĻħ åĮĸ +ä¼° åĢ¼ +æľįåĬ¡ ä¸ļ +èĩ Ń +æİī äºĨ +解åĨ³ äºĨ +ä¹Ł ä¸įèĥ½ +åħ ¹ +æĸ¯ çī¹ +æķħ æĦı +è¿ĩ 度 +èĬĤ æĹ¥ +çĻ½ çĻľ +çĻ½çĻľ é£İ +继 æī¿ +äºĨ ä¸įå°ij +äºĮ 人 +è§ģ éĿ¢ +æĥ³ æĥ³ +å¤į åIJĪ +康 å¤į +åİ¿ åŁİ +åľ¨ åĽ½åĨħ +åľº åľ° +éĻ¶ çĵ· +è¿Ļ 项 +çľ¼ ä¸Ń +çł ¸ +æĦŁè§ī åĪ° +æŀľ çĦ¶ +æĶ¾ åħ¥ +约 æĿŁ +æİĴ æŁ¥ +车 主 +çļĦ æĦıæĢĿ +æĸ° åŁİ +æĥ³ çĿĢ +éģ Ĥ +èĮ¶ åı¶ +ä¹° æĪ¿ +åĨľ æĪ· +é«ĺ æīĭ +çİī ç±³ +æĸ°åĨł èĤºçĤİ +çħ§ æĺİ +æĮĩ åįĹ +è¸ ¢ +æķij æı´ +æĻ¯ çĤ¹ +ç¨İ æĶ¶ +çļĦ æīĭ +æŃ£ 好 +è¦ģ æĬĬ +éļı æĦı +åħ¶å®ŀ æĺ¯ +ç»Ļ èĩªå·± +è°Ī åĪ¤ +æ¯ı天 éĥ½ +æĢģ åĬ¿ +é¢Ħ 约 +åİĨåı² ä¸Ĭ +å®Ŀ è´Ŀ +åīį è¿Ľ +ä¹Łå°±æĺ¯ è¯´ +çļĦ æĦıè§ģ +åı£ 罩 +åİĺ ç±³ +èĬ± è´¹ +ä½ĵèĤ² æĬķ注 +åħ¬ä¼Ĺ åı· +èijĹåIJį çļĦ +å¼Ģ æĪ· +æĭį åįĸ +å²ģ æľĪ +åĨħ 涵 +å®Įæķ´ çļĦ +é«ĺ åİĭ +åħ¬åĬ¡ åijĺ +使çĶ¨ çļĦ +çĶŁäº§ 线 +妹 妹 +èµ° 访 +æĺ¯ åı¯ä»¥ +åľ¨ 家 +æļ´ åĬĽ +æ³° åĽ½ +è´¨ çĸij +ä¸į éģİ +天çĦ¶ æ°Ķ +缺 çĤ¹ +å°ı åŀĭ +ä¸įä»ħ æĺ¯ +é»ij æļĹ +æ¢ ¨ +æĸĩ æĹħ +è¦ģ æľī +ä¸Ń å±± +çļĦ æķ°æį® +å¾Ĺ å¾Ī +以 便 +对 ä»ĸ +åĬł 以 +çĻ¼ çı¾ +设 å®ļ +èĤļ åŃIJ +éĿ ĸ +å¥ī çĮ® +ä¸į åıĺ +åı£ ç¢ij +åľ¨ åĵªéĩĮ +ä½ IJ +è¿Ļ 两个 +çļĦ æĸ¹åIJij +æŀ « +äºĮ 次 +çīĩ åĮº +éł IJ +ç£ Ĭ +æĭ¿ çĿĢ +å·²ç»ı æĪIJ为 +ä¹ĭ ä¸Ĭ +å®Ĺ æŨ +奶 奶 +é«ĺæĸ° åĮº +社 æľĥ +è·Ł 踪 +æľįåĬ¡ ä¸Ńå¿ĥ +æī ¯ +æīĭ æĮĩ +礼 çī© +宿 èĪį +çĶ¨ å¿ĥ +æıIJé«ĺ äºĨ +亮 çĤ¹ +ä¸į æĦ¿æĦı +æĴŃ æĶ¾ +å¤ļå°ij éĴ± +没 ä»Ģä¹Ī +æķ° åįģ +æĢ» çĽij +çļĦ åŁİå¸Ĥ +æī¾ åĪ°äºĨ +åĨħ åľ° +åĪ° çİ°åľ¨ +æĪĺæĸĹ åĬĽ +åİŁ å§ĭ +åĥ § +åĢĴ æĺ¯ +æľĢ åħ· +è´«åĽ° æĪ· +éĢģ åĪ° +级 åĪ« +åĩº èµĦ +æĪª æŃ¢ +ç§į åŃIJ +èĥ½ ä¸įèĥ½ +幸 è¿IJ +èĸ ĩ +项 éĵ¾ +æĮĤ çīĮ +ä¸Ģ 樣 +ä¹ĺ 客 +èIJ½ åIJİ +ä½Ĩ æĪij +æĹ© åľ¨ +åĬ¨ 漫 +å¹³ çŃī +对 ä½ł +ä¸į æĢķ +å¤ĸ çķĮ +å¤ļå¹´ æĿ¥ +é¦ĸ 个 +æ²³ åįĹçľģ +æĪĸ åħ¶ä»ĸ +éķľ 头 +åįĹ æĺĮ +ä¸Ģ éĿ¢ +éĢłæĪIJ çļĦ +å´ Ķ +çŃ Ĵ +æķĻèĤ² éĥ¨ +åľ° åŁŁ +æĺĨ æĺİ +å·´ é»İ +æīĭ 游 +ä¸Ģ æŶ +çł į +顶 级 +åħ± 计 +åİŁ æ²¹ +è¾ī çħĮ +说 æĺ¯ +æĸ°åįİ ç¤¾ +ç»ıåİĨ äºĨ +ä¸į æŃ¢ +è¦ģ ä¹Ī +èĢħ çļĦ +æĢ» æĬķèµĦ +è¡Į 驶 +ä¸Ĭ å¸Ŀ +å¹´ 纪 +çIJ ¼ +ä¼ł 说 +ç²¾ èĭ± +æĸ¹ éĴĪ +æ±Ł æ¹ĸ +æĪIJ çĤº +æĢ» éĩı +æĬķ æĶ¾ +åĬ¨ çĶ» +èĹ ¤ +çĶµ æºIJ +éĴ Ļ +åIJĮ è¡Į +æĻ®éĢļ çļĦ +åĽ¾ä¹¦ é¦Ĩ +è¯Ī éªĹ +æħĪ åĸĦ +è¿Ļ 份 +主æĮģ 人 +å°± è¿Ļæł· +èĢĮ æĪIJ +èĩªè¡Į 车 +ä¸ŃåĽ½ çī¹èī² +èĤ¿ çĺ¤ +åIJ ¾ +å¼Ł å¼Ł +åıĹ çĽĬ +éĢīæĭ© äºĨ +æĺİæĺ¾ çļĦ +æĬ¥ èĢĥ +ç¬ij éģĵ +éĽĸ çĦ¶ +温 å·ŀ +éĿŀ æ´² +ç§į ç§į +åıĤåĬł äºĨ +è´§ è¿IJ +éļı 便 +å°± 没æľī +ç¸ £ +央 è§Ĩ +ç©¿ è¶Ĭ +çļĦ çݰ象 +åĩł 次 +çļĦ é£İéĻ© +æŃĮ æĽ² +æľ¬ å±Ĭ +å¹´ åĨħ +ä¸į è¶ħè¿ĩ +è¿ĩ å¤ļ +å¿ħé¡» è¦ģ +ç»ĵ 论 +åĢŁ éī´ +ç¥ŀ å¥ĩ +æľŁ æľĽ +ä¸ĵ 享 +éĿŀ常 éĩįè¦ģ +æĦıè¯Ĩ åĪ° +åIJĪ 并 +æĬĬ èĩªå·± +å¥Ĺ è£ħ +éŃĶ æ³ķ +å¤ı åŃ£ +ä¸į åĥı +å¢ĥ çķĮ +æĥĬ åĸľ +æľīä¸Ģ 天 +çĦ¦ çĤ¹ +æĪij 认为 +åħ° å·ŀ +çĶµ æ°Ķ +èģĶç³» æĪij们 +ç§ij æĻ® +她 说 +çļĦ æĸĩç«ł +å¥ĩ æĢª +åıĭ 好 +饮 æĸĻ +çļĦ æĶ¯æĮģ +çŃĶ åºĶ +éĩį éĩı +çij ¶ +åĩı è½» +ç§ijåѦ 家 +å·´ 西 +éĩijèŀį æľºæŀĦ +åħļ å§Ķ书记 +貸 款 +ç²¾ èĩ´ +ä»İ æľª +åį° åĪ· +åĽŀ 顾 +é¦ĸ éĥ½ +åıij èĤ² +éĹ® éģĵ +è¾¾ åĪ°äºĨ +å¿į ä¸įä½ı +æīį æľī +æįIJ èµł +ä½Ľ æķĻ +ä¸į æ¸ħ +éĺŁ éķ¿ +缸 åıį +æĬ¥ èѦ +大 åħ¨ +欧 缣 +帮 å¿Ļ +çļĦ æĻĤåĢĻ +缮 å½ķ +足 以 +èī° éļ¾ +ä»ĸ ä¹Ł +å·¥ ä½ľèĢħ +头 èĦij +缺 éĻ· +æĪIJç«ĭ äºĨ +å°± å¼Ģå§ĭ +认 åIJĮ +é»Ħ èī² +çĹħ æĥħ +覺 å¾Ĺ +è¿Ļ 两 +ä¿¡ ä»° +åľĭ 家 +ä¸įä»ħä»ħ æĺ¯ +çĭ¬ 家 +èĪ¬ çļĦ +æĿIJ è´¨ +æµ· ä¸Ĭ +çĤº äºĨ +æľºåĬ¨ 车 +缸å½ĵ äºİ +å¤ļåħĥ åĮĸ +æĽ´ 大çļĦ +èĽ ® +åģĩ æľŁ +å¼ı çļĦ +交éĢļ è¿IJè¾ĵ +çľģ å§Ķ +ä¸į ç®Ĺ +æĶ¾ ä¸ĭ +éĹ ¯ +人 åľ¨ +港 åı£ +æŨ åľ¨ +åij½ 令 +æŁIJ 个 +å¹³ 稳 +åıª 好 +人 人 +äº ŀ +äºĮ ç»´ +äºĮç»´ çłģ +æŀģ 为 +åĪ« å¢ħ +åħ¶ ä½Ļ +大 äºĭ +主管 éĥ¨éŨ +æĹł éĶ¡ +éĹ µ +éģŃ åĪ° +说 è¿ĩ +为 ä½ł +解 çŃĶ +éªĮ æĶ¶ +çļĦ ç»ıéªĮ +åĮ¹ éħį +çģ« ç®Ń +豪 åįİ +æŁIJ æŁIJ +çļĦ æĹ¶ä»£ +书 éĿ¢ +æģĴ 大 +延 éķ¿ +ä¸Ģ åIJĮ +æľª èĥ½ +交 æį¢ +çĶ¢ åĵģ +çŃī åĪ° +åĪĨ 离 +æīĵ çĶµè¯Ŀ +å¹² çĩ¥ +è¾ĥ å¤ļ +å¤ļå¹´ çļĦ +èĥĮæĻ¯ ä¸ĭ +为 ä¾ĭ +æijĺ è¦ģ +å´Ľ èµ· +æѤ åĪ» +æľī æľºä¼ļ +æĿ¡ 款 +é¢Ĩ导 å°ıç»Ħ +çļĦ 身ä½ĵ +åįķ ä¸Ģ +央 è¡Į +ä¸įæĸŃ æıIJé«ĺ +ä»·åĢ¼ è§Ĥ +èĬ ½ +èIJ į +æ³ķå¾ĭ æ³ķè§Ħ +ä¸į éĶĪ +ä¸įéĶĪ éĴ¢ +åĩº äºİ +èĻļ æĭŁ +æį® æĤī +çĥ¦ æģ¼ +åħ¨ æĸ°çļĦ +æī« æıı +çĻ» éĻĨ +èīºæľ¯ 家 +çļĦ é£Łçī© +çļĦ åŃĺåľ¨ +客 åİħ +æĪij们 å°± +æŁ¥çľĭ æĽ´å¤ļ +è¯Ħ 审 +å¸Ĥ åł´ +è¬ Ľ +å·¨ 头 +ä¸ŃåĽ½ ç»ıæµİ +äºĨ èĩªå·±çļĦ +åĨ³ è®® +çĽijçĿ£ 管çIJĨ +æĬķ 票 +åĨį 度 +è¡Į çĤº +注 åħ¥ +ä½ľä¸º ä¸Ģ个 +æ¯ı个人 éĥ½ +åįķ åħĥ +è¦ģ çŁ¥éģĵ +被 称为 +ä¹ĭ éĻħ +解 éĻ¤ +ä¸ ¸ +æº « +ä¸ī æĺŁ +é²ľ æĺİ +ä¹Ł éĥ½ +æŶ æľº +åĩº æīĭ +æĥħ å½¢ +åķĨ è´¸ +éĢī 举 +对 èĩªå·± +çĶŁ åĬ¨ +åħĭ æľį +个 ä½ĵ +èĭ ij +ç¨ ± +大 åݦ +æĺ¯ å¯¹ +åĪ© æģ¯ +è¿IJåĬ¨ åijĺ +åĮĸ 解 +åīį 沿 +æĦŁ æģ© +æĢ» ä¹ĭ +é«ĺæĸ° æĬĢæľ¯ +åĿĩ 为 +åħ¨ åĮº +æ°Ķ æ°Ľ +åı¯ä»¥è¯´ æĺ¯ +ä½ı 宿 +åħļåijĺ å¹²éĥ¨ +åĹ ¯ +è·µ è¡Į +çļĦ ä¸ĵä¸ļ +èĢĥ éªĮ +èķ ¾ +åħ¬ åŃIJ +çļĦ çĬ¶æĢģ +æ½® æµģ +ä¿¡ æīĺ +è´ ¼ +åIJĦ æĸ¹ +æķij åĬ© +éĿŀ常 çļĦ +æ¡¥ æ¢ģ +åħ¬ æĸ¤ +ä¼¼ çļĦ +çľĭ 好 +å±Ģ éĥ¨ +å®ī éĿĻ +éħį 件 +常 è§Ħ +å¼Ģ 车 +第äºĮ 次 +ä¸Ĭ 级 +åıĤ èµĽ +家 å±ŀ +强 åĬ¿ +åľ¨ ä»ĸ +åIJij åīį +ä¹ĭ åľ° +éĥ ¡ +è¡Į ç¨ĭ +èѦ åijĬ +è§Ħå®ļ çļĦ +åķĨ åŁİ +äºĶ 大 +æķĻ 室 +åįģ 足 +æīĢ以 åľ¨ +å°Ĩ 继ç»Ń +çŃī æĸ¹å¼ı +家 ä¼ģä¸ļ +交 ä»ĺ +çĤ¹ è¯Ħ +ç»ĵ ç®Ĺ +ä¹Ł åı¯ +å¤ĸ æ±ĩ +è¿Ļç§į æĥħåĨµ +æİĪ äºĪ +å¸ĥ ç½® +æĪIJç«ĭ äºİ +é¢Ħ èѦ +管çIJĨ 人åijĺ +å©ļ 礼 +ç»ĵæĿŁ åIJİ +åħ¥ éĢī +æĹł æ¯Ķ +åĴĮ åıijå±ķ +çĻ½ éħĴ +çİ© åħ· +ä¸ĩ ç¾İåħĥ +çļĦ æĪIJ绩 +æĭį çħ§ +èĢĥèĻij åĪ° +ä¼ģä¸ļ åıijå±ķ +äºĨ 个 +çĶŁ æ°Ķ +çļĦ 女人 +äºĶ åįģ +çĪ· çĪ· +纽 约 +éĥ½ 被 +ä¸Ĭ 课 +çĽ ¡ +ä¼łç»Ł æĸĩåĮĸ +æ½ľ åľ¨ +åıij å°Ħ +ä¸Ģ 身 +éĺ² å®Ī +åĪ ® +é¢ĺ 缮 +åľ¨ åĨħçļĦ +ç¾İ 好çļĦ +è¿ĻéĩĮ çļĦ +ä¸Ģ ä¸Ŀ +人 åĿĩ +åĢ¡ 导 +身 åIJİ +æī© å±ķ +大 éŨ +å°± 被 +该 é¡¹çĽ® +æŀ¶ æŀĦ +ä¸Ģ åı£ +ä¿¡æģ¯ æĬĢæľ¯ +å¼Ģ ä¸ļ +æĶ¶ åıĸ +ç½ij 页 +æĶ¯ æı´ +å°ģ éĹŃ +å¡ij éĢł +大 èĥĨ +å¿«éĢŁ åıijå±ķ +çľĭ ä¼¼ +æ¸ Ŀ +è¿Ļæł· ä¸Ģ个 +模 åĿĹ +注æĦı åĪ° +çł´ 解 +èĩª ä»İ +åijµ åijµ +ä¹ĭ å¾Į +ä¹ĭ æĹħ +è·Ł æĪij +æ³ķ 人 +æİĴè¡Į æ¦ľ +åĿļ å®Ī +好 å¤Ħ +çŁ³ 头 +并 å°Ĩ +èĪ ± +æŃ ĩ +两 岸 +å¤ļ ä¹ħ +象 å¾ģ +个æĢ§ åĮĸ +çļĦ è§Ĵ度 +å¸ Ĩ +ç¦ı å·ŀ +æŁ¥ å¤Ħ +两 åĽ½ +åIJ¸å¼ķ äºĨ +é¦ĸ å¸Ń +大 åĵ¥ +é¤ Ĭ +涨 å¹ħ +éĢī çĶ¨ +許 å¤ļ +èIJ½ æĪ· +åĵĪ å°Ķ +åĵĪå°Ķ 滨 +åģļ ä»Ģä¹Ī +以 åħį +é¾ į +æĹł éľĢ +åĪ°åºķ æĺ¯ +æĢ ¡ +åijĬè¯ī ä½ł +éĺ² æ°´ +è¿Ļ æŶåĢĻ +欢 ä¹IJ +转 åIJij +è¿Ļ个 åľ°åĽ¾ +åħ¥ é©» +èįī åİŁ +æĹ¶ä»£ çļĦ +åıĺ åĬ¨ +åĬłå¼º 对 +åģ¶ å°Ķ +å®Ī æĬ¤ +æ°Ķ 温 +人 éĹ´ +æľĿ é²ľ +ç»ı è´¹ +åĽŃ æŀĹ +å·¥ åľ° +è§Ħ æł¼ +åĩł åįģ +è¯ķ åĽ¾ +å¦ ĥ +éĤ£ æŶåĢĻ +å¼ĺ æī¬ +ä¸ļ çķĮ +çļĦ éĢŁåº¦ +ä¼ļ ä¸įä¼ļ +èIJ¥ æĶ¶ +å°ıå¾® ä¼ģä¸ļ +çľĭ è¿ĩ +æĬĬ ä»ĸ +éģµ 循 +è¿Ļ è¾¹ +没æľī 人 +å£ ¶ +æ¹ĸ åįĹçľģ +æŀģ åħ¶ +çļĦ人 çĶŁ +ä»ĸ è¿ĺ +转åĮĸ 为 +èµ° è¿ĩ +æĬ± çĿĢ +çīĽ 奶 +ä¸ĩ 亩 +å¿ĥ æĢģ +æĹ¥å¸¸ çĶŁæ´» +ä½ĵ æ£Ģ +æĻ ĥ +çŃī é¢ĨåŁŁ +æĩī 該 +åı¯ä»¥ çľĭåĪ° +æī¾ ä¸įåĪ° +èĢģ å¹´ +æĬĬ æĪij +积 åĪĨ +梳 çIJĨ +ç» ³ +çļĦ æĶ¿æ²» +å¸Ŀ åĽ½ +éĻª ä¼´ +æ´Ľ éĺ³ +åħ¬ æŃ£ +å¼Ģ åı£ +çī¹èī² çļĦ +åĽ° å¢ĥ +ä¸Ĭ æľī +ç«ĭ ä½ĵ +æīĵ å·¥ +åķ¤ éħĴ +åľ¨ éĤ£éĩĮ +éĤ£ è¾¹ +个 åĪ« +ä¸Ģå®ļ æĺ¯ +çļĦéĩįè¦ģ æĢ§ +主 å¼ł +åĴĮ æľįåĬ¡ +ä¸Ĭ ç½ij +è¡¥ åĬ© +åıª éľĢ +å¼ ¦ +éģ ® +åĬĽ äºī +度 è¿ĩ +èij ¬ +é¡¿ æŶ +éĦ ī +纺 ç»ĩ +åľ° åĿĹ +ä¿¡çĶ¨ åį¡ +ç½ļ 款 +åijĬè¯ī æĪij +éĽ Ļ +书 çĶ» +è¨Ń è¨Ī +æĢ» ä¼ļ +åĪ¤ åĨ³ +ä¿¡ èªī +个 èĤ¡ +å¹³ 常 +æĢİ éº¼ +ä½ĵ çİ°åľ¨ +é»Ħ æ²³ +åĽĽå·Ŀ çľģ +羣 缸 +åIJĦ项 å·¥ä½ľ +åĬ¨ åijĺ +å³° ä¼ļ +ä¸Ģ æľŁ +æľī ä¸Ģå®ļçļĦ +é«ĺ度 éĩįè§Ĩ +ç¹ģ èį£ +åıijçİ° äºĨ +ç½ij 红 +æīĭ æ³ķ +家 åĽŃ +仪 åĻ¨ +è¾ĥ ä½İ +çļĦ å®īåħ¨ +æ¡ IJ +ä»ĺ 款 +æĬij åĪ¶ +åįĵ è¶Ĭ +æŃ£ éĿ¢ +åĵ ij +强 åĪ¶ +ä»Ĭ天 çļĦ +æĪĺ èĥľ +楼 å¸Ĥ +æĭ¿ ä¸ĭ +é¢ľ åĢ¼ +举 éĥ¨ +çłĶ åĪ¶ +çļĦ æĪĺçķ¥ +åľ¨ ä¸Ģ个 +ä¸ī 人 +å®Į äºĨ +æĸ° æĬĢæľ¯ +ç»ıæµİ æķĪçĽĬ +å¯Į æľī +æ¾³ æ´² +åĬ© çIJĨ +é¢Ĩ åıĸ +è° Ń +çĩĥ çĥ§ +ç´ł åħ» +éĤĦ æľī +è¿Ľ èĢĮ +ä»Ģä¹Ī æĺ¯ +çłĶ究 ä¸Ńå¿ĥ +éĢĤ çĶ¨äºİ +æİ¥ æĶ¶ +失 æľĽ +äºĮ 级 +éĹ´ çļĦ +åİŁ æłĩé¢ĺ +èªį çĤº +æį ¡ +对 çĿĢ +对 éĿ¢ +ä¸Ń åİŁ +éĵ ĥ +çĶŁäº§ çļĦ +åıijå¸ĥ ä¼ļ +士 åħµ +è¿Ļ åı¥è¯Ŀ +ç¼´ 纳 +ä¸Ģ个 个 +åѸ çĶŁ +çĸij éĹ® +交 èѦ +示èĮĥ åĮº +天 使 +åľ¨ ä¸Ĭæµ· +åIJĮ æĻĤ +è½» æĺĵ +åĶ¯ä¸Ģ çļĦ +çĥŃ éĹ¹ +ä¹IJ è§Ĥ +çļĦ 身份 +åĸĦ äºİ +大 åİħ +èĤ¯å®ļ æĺ¯ +éĺ² çģ« +å¤ĸ åĩº +æį® 说 +é¡¹çĽ® çļĦ +ä¸Ģ åı° +èĻļ åģĩ +ä¸Ģ ç¬Ķ +ç«ĭ æ³ķ +严 èĤĥ +æī¿ åĬŀ +åįģ åĩł +çļĦ 空éĹ´ +æľ¬ ç½ijç«Ļ +åģļ å¾Ĺ +ä¿Ŀ 温 +æľĪ åĪĿ +åľ¨ ç½ijä¸Ĭ +åIJĦ æĸ¹éĿ¢ +ä¸ī 天 +交æĺĵ æīĢ +解 æŀIJ +åħļ ä¸Ń央 +è¿Ľ åĩºåı£ +åĴĮ 社ä¼ļ +次 æķ° +ä¹ĭ 家 +ç»´ 度 +æ´¾åĩº æīĢ +产çĶŁ äºĨ +带 æľī +å¾Ī 强 +æľīäºĽ 人 +å¹´ åIJİ +äºĨ 许å¤ļ +å¯Ĩ 度 +åѦ æľŁ +çıł æµ· +æľĢå¤ļ çļĦ +è¾¹ ç¼ĺ +容 éĩı +第äºĮ 个 +ä¸Ģ缴 æĺ¯ +ä¸į ç¦ģ +æŃ ² +ä»ĭç»į äºĨ +ä¼ĺ éĽħ +æ¯Ķ è¼ĥ +èģĮ ä½į +温 æŁĶ +æľī éĴ± +æľĢ é«ĺçļĦ +åįļè§Ī ä¼ļ +ä¸į æĪIJ +éĶĻ äºĨ +è¯ģ çĽij +è¯ģçĽij ä¼ļ +æĪIJ 人 +åĿĩ åĮĢ +æľī åĪ© +è¶Ĭ åįĹ +æīĵ äºĨ +好 åIJĥ +ç³» çµ± +è·Ł éļı +çļĦ åľ°ä½į +æŃ£ å¦Ĥ +ç¨į å¾® +åį° åıij +åĪĽ ç«ĭ +é£İ åħī +å°Ĩ æĪIJ为 +ä¸į é«ĺ +é¢ij ç¹ģ +设 æľī +ä¼ ŀ +æĭĨ éĻ¤ +å½± åĥı +æ¸Ĺ éĢı +å¹´ å¼Ģå§ĭ +ç½ij æĺĵ +è¦ģ åģļ +çĶµåĬ¨ 车 +羣 å¿ĥ +æµ· åĨĽ +ä¼ł æĿ¥ +å·® åĪ« +è°¨ æħİ +çĥŁ åı° +åįĥ å¹´ +è¯ģ å®ŀ +çIJ ª +çļĦ åħ·ä½ĵ +åĪ° å¤Ħ +ä¸į å®ľ +èľ Ģ +èĥ½åĬĽ åĴĮ +çīº çī² +çļĦ éĴ± +大 éĺŁ +é¦ĸ è¦ģ +ä¸į æĦ¿ +çİ« çij° +人æ°ij ç½ij +è¿ĺæĺ¯ è¦ģ +åĽĽ å¹´ +æįŁ 伤 +çļĦ åģļæ³ķ +éĿ Ī +è¡Ķ æİ¥ +åIJĪ æĪIJ +没 人 +éŨ æ§Ľ +ä¿¡ è´· +çļĦ 缸åħ³ +举 é£İ +社 ä¿Ŀ +ä¸ĭ 游 +åĿĹ éĴ± +è¿ĩ åIJİ +çļĦ åºĶçĶ¨ +é¥ ¶ +é¢ģ åıij +ä¸Ģ å¤Ħ +åįİ å¤ı +为 ä¼ģä¸ļ +åıª ä¼ļ +ä¾µ 害 +çļĦ åĬŁèĥ½ +åѸ ç¿Ĵ +ä¸Ńåįİ æ°ijæĹı +åıijå¸ĥ äºĨ +è¿İ æİ¥ +æĪij èĩªå·± +è¿ĺ éľĢè¦ģ +太éĺ³ èĥ½ +åİ» ä¸ĸ +æĺ¯ ä½ł +åIJĪ åĬĽ +ç»ĺ çĶ» +åı° åĮĹ +çĿ£ ä¿ĥ +åĮĹ éĥ¨ +æľī å¤ļå°ij +å¾Ī éĩįè¦ģ +åĪĴ åĪĨ +åı· 线 +æĶ¾ 大 +ä¼ļ 被 +èİ· å¥ĸ +ä¹ĭ åĨħ +失 åİ»äºĨ +çݩ家 们 +éĩĩ éĽĨ +å£ ¹ +家 ä¼Ļ +çĻ½ 天 +åĽłä¸º ä»ĸ +社ä¼ļ æ²»çIJĨ +å¼Ģ åĪĽ +çĶµ ç¼Ĩ +æĸ° ä¸Ģ代 +并 è´Ń +å°± å·²ç»ı +çļĦ 社ä¼ļ +éĻ¤ éĿŀ +åı¯ä»¥ çĶ¨ +å© ī +æ¯Ķè¾ĥ 好 +å®ŀ ä¸ļ +åĪĽ åĬŀ +æıIJ èµ· +é» ĥ +ä½ı åľ¨ +å¸Ĥ æĶ¿ +éĿ¢ä¸´ çļĦ +èĥ½ åľ¨ +çŁŃ çŁŃ +羣 人 +æĺİ æĺİ +èµĦ åĬ© +çļĦ ä¸įåIJĮ +å°ı æľĭåıĭ +é¢ĺ æĿIJ +ç¾İ åij³ +æĺŁ åº§ +ä¸į ä¸Ģæł·çļĦ +çľĭ ä¸Ĭåİ» +ä¸Ģ æł¹ +广 å·ŀå¸Ĥ +åıijçĶŁ çļĦ +é«ĺ ç§ijæĬĢ +ä¸Ģ è¾ĪåŃIJ +交 åıī +ä½ĵç³» 建设 +åĽłä¸º æĪij +çıį æĥľ +ä¸Ĭ åѦ +æĪĺ æľ¯ +æѤ ç±» +交 å¾Ģ +æĮī æij© +人们 çļĦ +åħ¶ 實 +åİŁ æĿIJæĸĻ +渴 æľĽ +缸 å¤Ħ +å¾® å¾® +æ® · +ä¹ĺ åĿIJ +å¼Ģå±ķ äºĨ +é«ĺ åĵģè´¨ +æĹłäºº æľº +ä¸įæĺ¯ å¾Ī +çļĦ æĬķèµĦ +èĬĤ çľģ +èĩ ī +ç²¾ éĢī +çļĦ æłĩåĩĨ +åįĹ éĥ¨ +认è¯Ĩ åĪ° +å¹³ éĿĻ +èĹ ¥ +æī« é»ij +æī«é»ij éĻ¤ +æī«é»ijéĻ¤ æģ¶ +éĢĻ 種 +建çŃij éĿ¢ç§¯ +ç¡® ç«ĭ +管çIJĨ åĬŀæ³ķ +æĦı å¿Ĺ +ä¸ ¨ +让 åŃ©åŃIJ +æķij çģ¾ +å½ĵ ä»Ĭ +çģ« çģ¾ +åIJĦ éĥ¨éŨ +ä¾µ çĬ¯ +æ¯ı åij¨ +æı ½ +ä¸Ģ次 æĢ§ +åħ¶ä»ĸ 人 +éĶĻ è¿ĩ +ä¸İ åħ¶ +åĭĩ æ°Ķ +çĩĥ æ°Ķ +é¦ĸ å±Ĭ +æľį 饰 +ç² ¥ +å®Į æ¯ķ +å°± æĬĬ +åĬŀäºĭ å¤Ħ +ä¸Ģä¼ļ åĦ¿ +离 ä¸įå¼Ģ +å¦Ĥæŀľ æĤ¨ +ä»ĵ åºĵ +导 å¸Ī +åIJĪéĢĤ çļĦ +毫 ç±³ +å®īåħ¨ æĢ§ +ä¾Ŀ çħ§ +产ä¸ļ åĮĸ +ä½ł çľĭ +羣çļĦ å¾Ī +åѤ çĭ¬ +éĺ² å¾¡ +å¾Ī ç®Ģåįķ +é£İ æ°´ +ä½Ĩ ä¹Ł +æݨ åĩºäºĨ +æ°ijèIJ¥ ä¼ģä¸ļ +çłģ 头 +å¤įæĿĤ çļĦ +ç»ĦæĪIJ éĥ¨åĪĨ +åħħ满 äºĨ +è¿ij åĩłå¹´ +çľģ æĶ¿åºľ +æľī å¿ħè¦ģ +éĻ ³ +ä¹ĭ ç±» +ä¹ĭç±» çļĦ +æĢ§ ä»· +æĢ§ä»· æ¯Ķ +åķĨ åºĹ +å¸Ĥ åĢ¼ +人æīį åŁ¹åħ» +æ·± åıĹ +管çIJĨ å±Ģ +æģIJ æĥ§ +ä»ħ æľī +æĬµ è¾¾ +æµ· åħ³ +èµĭ äºĪ +äºĭ åĦ¿ +ä»· éĴ± +æīĭ ä¸Ĭ +èĩª å¾ĭ +åħ³ çĪ± +享 æľī +éģĹ æĨ¾ +å¾Īå¿« å°± +æĽ´ å¿« +æłĩ è¯Ĩ +åºĨ ç¥Ŀ +ä¹Ł 好 +ä¸į æĺĵ +æĪij å¾Ī +æĶ¹éĿ© åıijå±ķ +å¤ĸ åľ° +æĬµ æĬ¼ +è¯Ĺ 人 +åİķ æīĢ +æĸ° åªĴä½ĵ +èĸ Ľ +è°Ī è¯Ŀ +ä¸Ģå®ļ ç¨ĭ度 +èµ° åľ¨ +æľĢ 强 +åĬŁ çİĩ +åħ± è¯Ĩ +大 æ¡¥ +ä¸ĭ æĸ¹ +å¤ĸ èµĦ +ç¢ ± +å·¡ è§Ĩ +æ¹ĸåĮĹ çľģ +个 çĻ¾åĪĨ +个çĻ¾åĪĨ çĤ¹ +çļĦ 责任 +çļĦ åĵģçīĮ +åĬ© æݨ +åĪĽéĢł äºĨ +ä»» èģĮ +å¿« æį· +æĿij åºĦ +åİ» çľĭ +æīį èĥ½å¤Ł +å± ¤ +æĪij 家 +æĺ¯ä¸Ģ 款 +ç¾ ħ +åĨ° éĽª +æŀģ 大 +çģ¯ åħī +éĨ ĭ +ä¸İ åħ¶ä»ĸ +æıIJåĩº çļĦ +éĿł è¿ij +è°ĥ åĬ¨ +å°½ åı¯èĥ½ +åıij åĬĽ +ç»Ļ 她 +éĢĤ éĩı +è·¨ åĽ½ +åħĪ è¡Į +æĸ° æĿIJæĸĻ +ä½ľ äºĨ +满 äºĨ +ä¸į 满 +çļĦçľ¼ çĿĽ +çľĭ å¾Ĺ +è¿Ļ ä¸Ģ次 +é½IJ åħ¨ +çļĦä¸Ģ éĥ¨åĪĨ +ä¸ Ļ +æ¸ħ æĸ° +說 æĺİ +身边 çļĦ +æīĢæľī 人 +å½° æĺ¾ +è± ¹ +åį ¿ +è¿IJ 转 +æĮĩ å¼ķ +å¸Ĥ åħ¬å®īå±Ģ +åıĤ å±ķ +ä¹ĭ æŶ +éĩijèŀį æľįåĬ¡ +èµĦæľ¬ å¸Ĥåľº +èĥ½ 让 +å¿ĺ äºĨ +天 åłĤ +æ¯Ķå¦Ĥ 说 +éĬĢ è¡Į +èĽĭ ç³ķ +çĶ © +æł¸ å®ŀ +æĻ® 京 +ä¼ĺ ç¾İ +åı£ èħĶ +漫 çĶ» +çľ¼ éĩĮ +äºĨ ä¸ĭæĿ¥ +æĪij们 ä¹Ł +ä¾ į +为 ä¸Ńå¿ĥ +å¥ĩ 迹 +éĿĴ çĿIJ +æĪªèĩ³ 缮åīį +åĩº ä¾Ĩ +æĢ» åħ¬åı¸ +å¼¥ è¡¥ +ç®Ĺ æ³ķ +å·¥ä½ľ 室 +æīĢ以 æĪij +æ°´ åĪĨ +æīĢ å±ŀ +ä¸į 说 +ä½Ĩæĺ¯ åľ¨ +è¦ģ åİ» +åĪĽä¸ļ èĢħ +ä¸į æ¸ħæ¥ļ +åĽĽ åij¨ +æĺ¯ ä»İ +çļĦ æł¹æľ¬ +çģ ¶ +æ¯Ľ æ³½ +æ¯Ľæ³½ 举 +æµ· åı£ +åĽĽ åįģ +ä¹Ł 被 +èģ · +ä¸Ģ æīĭ +绩 æķĪ +çļĦ çĶ·äºº +书 ç±į +ä¸Ģ èĦ¸ +大 äºİ +鼶 éĥ¨ä»¶ +åħ³ æĢĢ +å¹³ ç±³ +æļ´ éľ² +å¾Ĺ å¤ļ +ä¸ī 级 +æľ¬ åij¨ +两 èĢħ +对 ä¸ŃåĽ½ +åıª è§ģ +欧 ç¾İ +å¦Ĥæŀľ æľī +å·²ç»ı æĺ¯ +çľĭ å®Į +çģ« éĶħ +èµ IJ +ä¸Ģ éģį +æĦŁ åĨĴ +ç»ĵ å±Ģ +ä»ĵ åĤ¨ +å®ŀ åľ° +åī¯æĢ» ç»ıçIJĨ +ä¹Łä¸į çŁ¥éģĵ +碰 åĪ° +åIJĪ 计 +客æĪ· çļĦ +ç½Ĺ 马 +æĦī å¿« +é£ Ľ +çĥŃ çĥĪ +伦 æķ¦ +åĮ» ä¿Ŀ +éĺ¿éĩĮ å·´å·´ +åĨį 说 +为 åŁºç¡Ģ +çĶŁäº§ ç»ıèIJ¥ +è¿ĻäºĽ 人 +åĪĹ è½¦ +æ²³åĮĹ çľģ +è¿Ļ 段 +æ´»åĬ¨ ä¸Ń +å© · +çĶŁ çIJĨ +ä¸ŃåĽ½ 人æ°ij +éĦ Ĥ +åIJ¬ åıĸ +å¤į ä¹ł +æľī çĽĬ +æĶ¶ æĭ¾ +å¾Ī åı¯èĥ½ +ç½ij绾 游æĪı +们 çļĦ +èµĭ èĥ½ +éļ¾ å¾Ĺ +åĪĨ æīĭ +羣 è¯ļ +åħ¬åı¸ åľ¨ +åĿĩ è¡¡ +åı£ åij³ +çīµ 头 +ä¸ĢèĪ¬ çļĦ +轿 车 +çŃī äºİ +æ²ī é»ĺ +æĪij éĥ½ +å°ı ç¨ĭåºı +ä¸Ģ åī¯ +æī¿ è½½ +åľ° è´¨ +çķĮ éĿ¢ +çĶµ æľº +çĦ¦ èĻij +éĶĢåĶ® é¢Ŀ +æĸ° 车 +ä¸Ĭ 游 +主 æ¼Ķ +éļIJ ç§ģ +åıijå±ķ æĪĺçķ¥ +çļĦ åĬªåĬĽ +å¼Ģ åħ³ +解åĨ³ éĹ®é¢ĺ +çĿ£ 导 +对 æĬĹ +å¾Īå¤ļ 人éĥ½ +æĹł æķĪ +产åĵģ è´¨éĩı +å®ī å¿ĥ +åįİ äºº +ä¸į 符åIJĪ +èĩª 家 +éĺµ å®¹ +çļĦ åIJĦç§į +çļĦ çIJĨ念 +çļĦ æĸĩåĮĸ +为 èĩªå·± +å±± æ°´ +游 æ³³ +éľĩ èį¡ +çĶŁæ´» æĸ¹å¼ı +è¿ľ 离 +çŁ³ åĮĸ +æѤ äºĭ +æĺ¯ çľŁçļĦ +çļĦ æ¯Ķä¾ĭ +çĶ¨ çĶµ +奥è¿IJ ä¼ļ +ä¿Ŀ å®ī +èĽĭçĻ½ è´¨ +çļĦ å¿ĥçIJĨ +å· « +åı· çłģ +æ°Ķ ä½ĵ +åıij æĶ¹ +åıijæĶ¹ å§Ķ +åĮ» å¸Ī +æ¶Ĥ æĸĻ +æĺ Ĭ +å¸Ĥ 级 +ä¸ĸçķĮ çļĦ +åĪĨåĪ« æĺ¯ +çł´ 产 +ä¸Ģ æĿ¯ +æĭī å¼Ģ +å¹³ åĩ¡ +çļĦ åıijçĶŁ +åĬ¨ æīĭ +ä¸Ģ缴 以æĿ¥ +æīĭ å·¥ +éĩĮéĿ¢ çļĦ +æĹł åħ³ +ä»ĭ åħ¥ +èµ° ä¸Ĭ +å°±æĺ¯ è¦ģ +å¹´ éĹ´ +åĩº çı¾ +å½± éŁ¿ +å¹ħ 度 +éĽ ģ +éģĵ åħ· +缮çļĦ åľ° +åIJİ èĢħ +ä¸Ĭ æ¼Ķ +äºĨ åĩł +æ®ĭçĸ¾ 人 +å¿Ļ ç¢Į +æĺ¯åIJ¦ æľī +并 对 +ä¼ļ 导èĩ´ +æ°´ åºĵ +ç»Ĩ èĩ´ +åIJİ æĤĶ +å¿ĥ æĢĿ +åģļ äºĭ +åİĤ æĪ¿ +çĿ ¿ +è¿IJèIJ¥ åķĨ +头 éĥ¨ +çļĦ è§Ĵèī² +æĺ¯ ä»ĸ +æĹ¢ æľī +å°ıæŶ åĢĻ +强 åĬ² +主 æĴŃ +åħ¨åĽ½ åIJĦåľ° +æį ı +æįŁ åĿı +åķĨ ä¼ļ +ä¿Ŀ ç½Ĺ +çľģ å¸Ĥ +éļ§ éģĵ +æľī ä¸įå°ij +è¦ģ åľ¨ +建设 é¡¹çĽ® +ç³ĸ å°¿ +ç³ĸå°¿ çĹħ +æĿ¡ä»¶ ä¸ĭ +ä¼ĺè´¨ çļĦ +é¦ĸ åıij +å½ĵæŶ çļĦ +丰 çĶ° +大 çĽĺ +缸 继 +å®ģ å¤ı +åħ¥ ä½ı +æĪij è¿ĺ +åħĭ æĸ¯ +å®ļ ä»· +å¹³æĸ¹ åħ¬éĩĮ +çļĦ çŁ¥è¯Ĩ +æĪij们 ä¼ļ +åħĥ å®Ŀ +ä½ĵ éĩį +è³ £ +对 æĪij们 +çŁ³ 家 +çŁ³å®¶ åºĦ +ç²¾ åįİ +å½¢ çĬ¶ +åıĹ åĪ°äºĨ +ä¿® 订 +ç¾İ åľĭ +é«ĺ æ¸ħ +çľ¼ éķľ +è§īå¾Ĺ èĩªå·± +带 ç»Ļ +åĶ® ä»· +éŨ 票 +åŃķ å¦ĩ +çĶµè§Ĩ åı° +åıij ä½ľ +çļĦ åij³éģĵ +éķ¿ è¿ľ +åħ¬åħ± æľįåĬ¡ +æŃ£å¸¸ çļĦ +æľī è¿ĩ +é£İ æĥħ +æ¯Ķ éĩį +åIJ » +管çIJĨ å·¥ä½ľ +综åIJĪ æĢ§ +å·² 被 +说 èµ· +æİĴ æ°´ +ä¸įæĸŃ åľ° +æĥħ æĢĢ +è¾ĵ éĢģ +è¿ĩ æķı +çļĦ åı¯èĥ½æĢ§ +æľį çĶ¨ +æľī 许å¤ļ +å§Ķ åī¯ä¹¦è®° +åĮĸå¦Ĩ åĵģ +æļĤ åģľ +æĬķèµĦ 人 +çıŃ çº§ +说 çĿĢ +åįĹ åĮĹ +åĪĨ è¡Į +çıł å®Ŀ +å¯ ¶ +å¢ŀ å¤ļ +被 åĬ¨ +çī¹æ®Ĭ çļĦ +éĹľ ä¿Ĥ +çļĦ èĦ¸ +æĥ Ł +ä¸į ä¸Ģå®ļ +ç¶ Ń +çģ« çĪĨ +秣 éĩij +çŀ § +éĩį 建 +è· ª +ä¸Ģ 種 +çļĦ åIJĪä½ľ +å®ī æħ° +ä»į æĺ¯ +ä¸ĵä¸ļ åĮĸ +è°ĥ 解 +ä¸į 妨 +éĢĻ æĺ¯ +å¿ħ éłĪ +ä¼Ĭ æľĹ +å¾Ĺ äºĨ +æľįåĬ¡ å¹³åı° +å§ ¬ +åħĪ éĶĭ +çİĭ åŃIJ +çļĦä¸Ģ åĪĩ +æĢ» çIJĨ +åĵ ¼ +çª ij +çļĦå¿ĥ æĥħ +çļĦ éĩį大 +çij Ł +ä¸Ģ ç¬ij +åıijå±ķ ä¸Ń +åģ¥åº· åıijå±ķ +åĵģçīĮ çļĦ +ç¦ ® +ä½Ļ 人 +ä»Ĭå¹´ 以æĿ¥ +æķ° çłģ +çŃ¾ è¯ģ +åİ» æī¾ +åŁºéĩij ä¼ļ +æĬ± æĢ¨ +æŃ£ å½ĵ +çıŃåŃIJ æĪIJåijĺ +ä¸į åIJĪæł¼ +åĪ¶ å®ļäºĨ +ç¼ĵ æħ¢ +åĪ¶ 约 +æłı 缮 +å¸Ĥåľº ç»ıæµİ +ç»ĦæĪIJ çļĦ +严 å³» +æĹ¥ 讯 +ä¸ĢçĤ¹ çĤ¹ +æĺ¯ æĢİä¹Ī +çļĦ çħ§çīĩ +éĺ» æŃ¢ +模 ç³Ĭ +ç¼ ¸ +éģķ åıį +æIJ¬ è¿ģ +éĩij éĴ± +å½ ¬ +ä¸į å®ī +æĪĺçķ¥ åIJĪä½ľ +å¡« åĨĻ +讲 究 +åħħåĪĨ åĪ©çĶ¨ +èĥ½ å¤ł +èij¡èIJĦ éħĴ +éĩĩçĶ¨ äºĨ +åľ¨ ä»Ĭå¹´ +ä¸Ńå°ı åѦ +åľ¨ æĦı +çļĦ åİĭåĬĽ +ä¸į 幸 +åĪ¶ èį¯ +åı¯ä»¥ 让 +被 è¯Ħ为 +ç»Ĩ èıĮ +æĪı åī§ +åįĬ 导 +åįĬ导 ä½ĵ +è§Ĩ è§Ĵ +åĸľ æŃ¡ +å¾ģ æĶ¶ +è°ĭ åĪĴ +æŀģ 大çļĦ +çĤ¹ èµŀ +è®°èĢħ ä»İ +两 åIJį +èĩª åĬ© +èµ· æŃ¥ +æĬ¤ 士 +å®Ŀ 马 +太 åŃIJ +å°ıå°ı çļĦ +温 æ³ī +åĩºç§Ł 车 +秣 æĪ¿ +两 家 +éľĩ æĴ¼ +ç§ī æī¿ +ä¸Ģ件 äºĭ +çĥĪ 士 +å®ĺ åħµ +转 身 +ä¹IJ åĽŃ +çĻĮ çĹĩ +模 èĮĥ +æĦ £ +è¿ĩåİ» çļĦ +代 ä»· +çļĦ æ¦Ĥ念 +åĩł çĻ¾ +è´µ éĺ³ +æĭħ 忧 +éĢĤ å®ľ +çݯå¢ĥ ä¿ĿæĬ¤ +çĥ « +ä½ł æĥ³ +æѤ åIJİ +ä½ł ä¹Ł +çį İ +éĻ¤ æѤ +éĻ¤æѤ ä¹ĭå¤ĸ +è°ĥ 度 +ç§ij 缮 +æīĢ说 çļĦ +åĬ ĩ +忽 è§Ĩ +ä¸ī 次 +ä¸Ģ æĹ¥ +åŀĤ 缴 +ç«ŀ æĬĢ +éĿ¢ åĮħ +大 æĪĺ +æIJº 带 +å¦Ĥæŀľ 没æľī +åħ» æĪIJ +åĩº è¡Ģ +çĪ±å¥½ èĢħ +æīĵ éĢļ +èµ· è¯ī +åijĪ çİ°åĩº +æŃĮ æīĭ +åľ¨ å¤ĸ +é¢Ĩ导 å¹²éĥ¨ +åĨ ¥ +èĪĨ 论 +æıIJ åıĸ +éĺ¿ å°Ķ +æľĽ çĿĢ +ä¸ī äºļ +è² ¡ +åĪ ·æĸ° +æĻļ æĬ¥ +è¿ĺæľī ä¸Ģ个 +åĨ° ç®± +ç½ij çĤ¹ +åĩº åħ· +强çĥĪ çļĦ +æĪij çĽ¸ä¿¡ +å¸ĮæľĽ èĥ½ +çīĻ 齿 +äºĭ å®ľ +ä¸ļåĨħ 人士 +代 æĽ¿ +åıĺ å½¢ +éĽ ² +è°ĥ æݧ +åĪĽæĸ° åĪĽä¸ļ +æĭĨ è¿ģ +æł¸ æŁ¥ +éĢ Ĺ +åħ¥ åѦ +æĦı åIJij +æı Ľ +ä¸ĭ 次 +ä¼ł è¾ĵ +ä»ĸ们 åľ¨ +èĢĮä¸Ķ è¿ĺ +æĹ¥ åľ¨ +æķĻ è®Ń +æ´» çĿĢ +çļĦ æľīæķĪ +å¤įå·¥ å¤į +å¤įå·¥å¤į 产 +æĺ¯ä¸Ģ 件 +çŃī çĿĢ +å¾ © +åĭĩ æķ¢ +éģŃ åıĹ +å¥Ķ é©° +讲 座 +说 å®Į +ç»Ļ åĩº +è° ¦ +è¯Ĭ çĸĹ +çĽ² 缮 +客 è¿IJ +å°± è¿ŀ +å¼Ģ åħĥ +å¼Ģåħĥ æ£ĭçīĮ +ä¸įæĸŃ æıIJåįĩ +çĶ¨æĪ· çļĦ +æĴ ķ +ä¾Ľ æ°´ +ç¶ĵ æ¿Ł +ä¸Ń åĮ»èį¯ +èģĶ æĥ³ +åħ¬äº¤ 车 +èĪª çıŃ +æĬĢ è¡ĵ +å¼ķèµ· çļĦ +å° ¹ +èµĦ æ·± +åĽ½èµĦ å§Ķ +èĺ Ń +é¼» åŃIJ +éĹ ½ +æİĴ éĺŁ +è§Ĥ åħī +éģĹ åĿĢ +举 京 +é¥Ń åºĹ +ä¸įæĸŃ çļĦ +å°±æĺ¯ ä¸Ģ个 +éķ¿ ä¹ħ +çļĦ è§ĤçĤ¹ +å¨ ¶ +æĪij çİ°åľ¨ +çķ ° +å¾Ĺ åĩº +å¿ħ å®ļ +ä¸į åıĹ +åıª éľĢè¦ģ +åĽ° æī° +ç§ijåѦ æĬĢæľ¯ +çīĽ èĤī +è¾ĥ é«ĺçļĦ +è·ij æŃ¥ +æ² ¾ +èı© èIJ¨ +æľĢ å¾Į +ä¿Ŀ å¯Ĩ +æ²» å®ī +éĤ ± +常 è¯Ĩ +èĦ¸ èī² +åĮĹ å¤§ +æ±ĩ èģļ +æijĨ èĦ± +é¾Ļ头 ä¼ģä¸ļ +女 åıĭ +çŃī å·¥ä½ľ +ä¸Ń ç¾İ +èģĮ åľº +èĦij è¢ĭ +åĨĻ çļĦ +饲 æĸĻ +åĬ³ åĬ¨åĬĽ +å± ¯ +æĮģ èĤ¡ +åĽ¾ åĥı +è¿ĩåİ» äºĨ +è² ¨ +è¾ ² +éĹ® æĪij +è·Ł ä½ł +çĶŁ æŃ» +审 ç¾İ +é¢Ĺ ç²Ĵ +ä¸Ń æĸ¹ +åĬł çĥŃ +æĹħè¡Į 社 +çĻ¼ çĶŁ +ä¸į åłª +åĤ · +æ¥ ł +åĬŀ æ¡Ī +æŁ Ħ +æĹ¢ æĺ¯ +å¤Ħ åĪĨ +羣å®ŀ çļĦ +æĬ¥ 纸 +å¸Ī çĪ¶ +å®īå¾½ çľģ +åī¯ 主å¸Ń +ä¹ĭ éģĵ +导 å¼¹ +åŃ¦æł¡ çļĦ +åŁİå¸Ĥ çļĦ +è°Ī åĪ° +æ¢ Ĺ +å¹³ éĿ¢ +说 ä»Ģä¹Ī +é¢ij çİĩ +éķ¿ ä¸īè§Ĵ +çļĦ åĪ©çĽĬ +é» ¨ +è±Ĩ èħIJ +å®ŀéĻħ æĥħåĨµ +æŀĹ ä¸ļ +纪æ£Ģ çĽijå¯Ł +ä½ı éĻ¢ +çļĦ æķ´ä½ĵ +åīį è¡Į +æĮ ¨ +çħ¤ çŁ¿ +åī¯æĢ» è£ģ +å°ı åIJĥ +æŀģ 端 +å©Ĩ å©Ĩ +çİ° è´§ +è¯Ĺ æŃĮ +éĴ¥ åĮĻ +缩 çŁŃ +ä½Ĩ è¿Ļ +æĸ° åĵģ +è¿Ļ 对 +çŁ¥åIJį 度 +å¿ĹæĦ¿ æľįåĬ¡ +大 å±Ģ +è¡¡ éĩı +ä½ĵçİ° äºĨ +æ¡ĥ èĬ± +åIJ¸å¼ķ åĬĽ +åł ¤ +æĵħ éķ¿ +åĴ Ĵ +缸 æľº +ä¸Ģ ç«Ļ +ä¸Ģç«Ļ å¼ı +æľĢ ç¾İ +æ°¸ ä¹ħ +çļĦ éĥ¨åĪĨ +åĪĨ å·¥ +å·¥ç¨ĭ 建设 +æIJŃ è½½ +æ°´ ä¸Ń +èĮ ¨ +çļĦ æĵįä½ľ +绣 æ²» +çķħ éĢļ +åħļçļĦ åįģ +è¼ ¸ +æ¸ ¬ +ç¾İ è§Ĥ +ä¸į åĪ© +åıį æĢĿ +éªĦ åĤ² +æłĩ çļĦ +æĿĢ 人 +éĺ¿ å§¨ +é£Ł æĿIJ +åIJĥ çļĦ +åIJİ åĨį +çŁ £ +两 侧 +æ¸ħ æ°´ +è¿Ľ çIJĥ +å¼Ģå§ĭ äºĨ +åIJ¬ äºĨ +çĦĬ æİ¥ +çŁ ® +å¨ Ł +为 人 +éĢģ ç»Ļ +åĨĴ éĻ© +æķ · +ç»Ī æŃ¢ +æīį çŁ¥éģĵ +è¿IJ æ°Ķ +éĢļ é£İ +æĥĬ 讶 +ç§ijåѦ éĻ¢ +æıIJ éĹ® +太 åİŁ +缸åIJĮ çļĦ +ä» ķ +èģ ĸ +æĥħ æ³ģ +é¢Ĩ导 人 +åĩºæĿ¥ äºĨ +沿 线 +éĻ ½ +æĦŁ 覺 +ä»į åľ¨ +æ© Ļ +约 为 +åĸĿ éħĴ +çĶ¨ èį¯ +ä¸ĭ ä¸Ģ +æ³ķ å®ĺ +顺 åºı +åģļ ä¸Ģ个 +åĭ ¢ +æŃ ª +çĶµ ç«ŀ +ä¼´ éļıçĿĢ +ä¹ĭ åĬĽ +ä¹ĭ 人 +äºij 计ç®Ĺ +åĪ«äºº çļĦ +ç§ijåѦ åıijå±ķ +第 åħ« +å¹² æī° +女 ç¥ŀ +è¿Ļæł· åģļ +å¤Ħ åľ¨ +æ°´ è´¨ +éķ¿ æĺ¥ +å¸Ĥåľº éľĢæ±Ĥ +ç»´ æĿĥ +èĢ³ æľµ +æĸĩåĮĸ çļĦ +奶 ç²ī +ä¼ł è¾¾ +æīĭæľº çīĪ +æĽ¾ åľ¨ +äºĮ æľŁ +åİŁåĽł æĺ¯ +æºIJ 头 +åıĪ èĥ½ +è£ ¸ +æĬĢæľ¯ åĪĽæĸ° +æĸĩåĮĸ æĹħ游 +åıij 票 +å¹´ 级 +ä½ł ä¸į +ä¹ĭ å¿ĥ +æķ° çĻ¾ +åIJij å¾Ģ +èĢģ 家 +åľĭ éļĽ +çļĦ é«ĺ度 +æľĿ éĺ³ +æ¸ħ éĻ¤ +èĩª æľī +书 ä¸Ń +游æĪı è£ħå¤ĩ +ä¸ĩ å¤ļ +驾驶 åijĺ +ä½ł çŁ¥éģĵ +åĽ½ åºĨ +é£Ł åłĤ +æİ¥ åı£ +æĢ» æķ° +åħ¶ä»ĸ çļĦ +çĶŁåij½ çļĦ +ä½ł åľ¨ +çļĦ 缮åħī +è¿Ļ æĸ¹éĿ¢ +éĥ½ 说 +çĸĹ æ³ķ +åĭĩ 士 +åľ¨ åħ¨çIJĥ +ä¿ĿéĻ© åħ¬åı¸ +çĿ£ æŁ¥ +åĸĦ èī¯ +表 å½° +è¹ ² +è·¯ 段 +æľĥåĵ¡ è¦ı +æľĥåĵ¡è¦ı ç¯Ħ +æĪ· åŀĭ +ä¿ĥ 使 +ä¿® 建 +é«ĺ æ°´å¹³ +åģļ åĩºäºĨ +主 åľº +è¡Į èµ° +空 çĻ½ +æľī人 说 +è¿Ļ个 ä¸ĸçķĮ +åIJį ä¹ī +å®Į ç¾İçļĦ +羡 æħķ +åıĬ åħ¶ä»ĸ +åı¯ çĶ¨ +æĭ IJ +è¾ĥ 大çļĦ +æĬĢæľ¯ åĴĮ +å°¼ äºļ +çĻ¾ è´§ +æı ī +éĢī è´Ń +éĺŁ åıĭ +ä¼ł æĦŁ +ä¼łæĦŁ åĻ¨ +åıªè¦ģ ä½ł +为ä»Ģä¹Ī è¦ģ +ä¸ĵ注 äºİ +ä½Ļ é¢Ŀ +åħ¸åŀĭ çļĦ +缮åīį å·² +欲 æľĽ +èģĶ 绾 +æµģ ä¼ł +çļĦ 家åºŃ +åı· åı¬ +çıį è´µ +ä¼Ł 大çļĦ +éī´ äºİ +è·Ł ä»ĸ +产 çī© +ä¸į å·² +è¿Ŀæ³ķ è¡Į为 +头 ä¸Ĭ +åĪĨ 解 +åı¯ä»¥ çľĭåĩº +æł¡ åĮº +åŃĹ ä½ĵ +ä¿® çĤ¼ +çĶļèĩ³ æĺ¯ +微信 åħ¬ä¼Ĺ +åıĸ 代 +èIJ¥ä¸ļ æĶ¶åħ¥ +æ½į åĿĬ +ä½ł èĥ½ +社ä¼ļ ä¿Ŀéļľ +æ¯ĶèµĽ ä¸Ń +污水 å¤ĦçIJĨ +夫 å¦ĩ +ä¸Ģ å¹ħ +沿 æµ· +åı£ æĦŁ +ä½Ĩ åį´ +å½ĵ æĹ¥ +çļĦ æľĢ大 +æ¯ı ä¸Ģä½į +没 äºĭ +çī¹ åĪ¥ +å¼Ģ åѦ +è·¯ éĿ¢ +å¿ĥçIJĨ åѦ +æĶ¾ ç½® +éĩįåºĨ å¸Ĥ +ä½ł èĩªå·± +æ¶Īè´¹èĢħ çļĦ +ä¸Ģ æ³¢ +èѦ æĥķ +åį§ 室 +注 å°Ħ +é£İ 鼨 +沿 çĿĢ +åijĬ 訴 +表 çİ°åĩº +åĽĽ æĺ¯ +åı¤ åħ¸ +æĽ´ éĩįè¦ģçļĦ +好 äºĭ +çľ¼ 泪 +æ¨ ĵ +审 åĪ¤ +碰 æĴŀ +车 ç«Ļ +è¿Ľåħ¥ äºĨ +éĽĨ åIJĪ +æł¼ å¤ĸ +宾 é¦Ĩ +æĶ¯ä»ĺ å®Ŀ +她 æĺ¯ +æĺ¯ å¦Ĥä½ķ +人 次 +çļĦ æĪIJåĬŁ +æĹł åĬĽ +æµ· æĭĶ +æĺ¥ åŃ£ +éĥ½ ä¸įä¼ļ +çŃī å¤ļç§į +ä¸Ģ个 å°ı +åģľè½¦ åľº +让 æĽ´å¤ļ +è¿Ļ çĤ¹ +æĪIJ åĵģ +éĴ ī +éģĩ è§ģ +çıŃ ä¸»ä»» +æĦı æĦ¿ +çļĦ åIJĮåѦ +游 è§Ī +åİĭ 缩 +åľ¨ ä¼łå¥ĩ +å¼¹ æĢ§ +æĹ¥ åĨħ +ç¦ı建 çľģ +è§Ĵ èIJ½ +åĪĨ å¼Ģ +ä¼ļ 让 +å¤ĸ åĽ´ +çĨŁæĤī çļĦ +çĨ Ķ +ä¸ĩ è¾Ĩ +å¤ľ éĹ´ +车 身 +ä¸Ń æľŁ +å®ĮåĸĦ çļĦ +åĵģ ç±» +åıĭ è°Ĭ +éĢīæĭ Ķ +éªij 士 +å½ ¦ +çļĦ çľĭæ³ķ +åĽ½ çİĭ +è¾£ æ¤Ĵ +åıijå¸ĥ æŶéĹ´ +åı¤ åŁİ +éļı æľº +ç« ĸ +å¼Ģ è¾Ł +ä¼Ĺ çĶŁ +没 åĬŀæ³ķ +åįĥ éĩĮ +æĿ¥æºIJ äºİ +çļĦ æĿĥåĪ© +æ¯Ķ åĪĨ +满æĦı çļĦ +ä¿® è¡Į +åĿ ł +大 æµ· +èİ ¹ +åĩº 身 +è« ĩ +åħ³ èĬĤ +åIJį 人 +éľĢè¦ģ 注æĦı +æĹ© æĻ¨ +å¤ĸ åįĸ +åıĪ è¦ģ +æ¶ī æ¡Ī +çĶ³è¯· 人 +éĻĦè¿ij çļĦ +åĬłå¿« æİ¨è¿Ľ +æĸ° å¹´ +大 è¡Ĺ +ä¸Ģ é»ŀ +èĭı å®ģ +æĤĦ æĤĦ +èĦ¾ æ°Ķ +å¸Į èħĬ +éļı åį³ +æķ¢ äºİ +å®ŀè·µ ä¸Ń +æĺ¯ æ²¡æľī +æľī趣 çļĦ +æĿ¥èĩª äºİ +è£ģ åĪ¤ +女 åŃ©åŃIJ +èĩ³ åħ³ +èĩ³åħ³ éĩįè¦ģ +æĻº åĬĽ +èµ° åĩºåİ» +çŁŃ æĿ¿ +大 åĽ½ +çļĦ 认è¯Ĩ +å¹´ å¤ľ +åĨį åĪ° +åIJĮ æł·çļĦ +å¯Ĩ å°ģ +å¤ĸ交 éĥ¨ +çĶŁ æķĪ +æĤ¨ åı¯ä»¥ +ä½ł åĢij +è¿ĩ å¹´ +å¼ ĵ +è¡Į æĿİ +æ¯Ķ èµ· +身 é«ĺ +è¿Ļ个 人 +ä¸Ń å¤ĸ +éģĵ æŃī +çĽ¯ çĿĢ +亲 åŃIJ +éĹ ¸ +çĻ½ äºij +èĦĸ åŃIJ +ä¸ĢåĪĩ éĥ½ +æ· ij +è° ľ +åģ¶ çĦ¶ +éĿł è°± +é«ĺ 管 +ä¸ĭ åıij +æĶ¾ åĪ° +ç±» åĪ« +ä¸ĭ åĪĹ +æ·· ä¹± +åIJĪæ³ķ æĿĥçĽĬ +çݯ çIJĥ +æľīæķĪ åľ° +åķĨ æĪ· +æ¹ĸ 人 +æµ· 岸 +æĬķ 产 +两 个æľĪ +éĥ½ éĿŀ常 +å¢ŀ强 äºĨ +æĿ¥ åĪ°äºĨ +åī© ä½Ļ +æĤ¨çļĦ åŃ©åŃIJ +æµģ æ°´ +æŃ£ ä¹ī +天 çĮ« +åģļ è¿ĩ +ä½ķ æŶ +æĪij åİ» +çľģ 份 +å¥ĸ éĩij +该 å¦Ĥä½ķ +ä¸ĭ çıŃ +åģ¶ åĥı +æijĨ æĶ¾ +æĸ° 模å¼ı +æĬķ è³ĩ +è·¯ åı£ +åĨľæ°ij å·¥ +大 åѸ +件 äºĭ +æł¹æľ¬ ä¸į +æµĵ 度 +æµĵ åİļ +è½® èĥİ +æĪ¿ ä¼ģ +éĿŀ常 好 +ä»İ ä¸Ń +人 æł¼ +ç¿ ģ +æŶéĹ´ åĴĮ +è¿Ļ ä¸įæĺ¯ +åĪ¸ åķĨ +æĥĬ 人 +åĻ¨ å®ĺ +åĩĨ åĪĻ +æĥħ æĻ¯ +æĽ´ é«ĺçļĦ +åѦ 家 +泡 沫 +åľ°æĸ¹ æĶ¿åºľ +å°± çŁ¥éģĵ +åij¼ åIJģ +ç»ı è´¸ +èĬ± éĴ± +æľī ä¸Ģ次 +æĦŁ æħ¨ +ä¸Ģ åįĥ +å¤ľ æĻļ +詹 å§Ĩ +詹å§Ĩ æĸ¯ +è¦ģ éĹ» +ç» Ĵ +æºIJ äºİ +çļĦ è´¨éĩı +注æĦı äºĭ项 +æħ¢ æĢ§ +稳å®ļ çļĦ +建设 åĴĮ +æĻ¯ 象 +éĩı åĮĸ +çļĦ 話 +è¯Ħ 级 +æº ľ +红 åĮħ +éĢļ éģİ +社ä¼ļ 责任 +æĸ° 产åĵģ +åĨ· éĿĻ +çľĭ ä¸įåĪ° +èģĶ éĤ¦ +éŃ Ħ +çļĦ åīįæıIJ +çļĦåīįæıIJ ä¸ĭ +è¾ĥ 好 +çļĦ æĦŁæĥħ +客æĪ· æıIJä¾Ľ +çĭ¬ èĩª +å¢ŀ æĶ¶ +æĸĩ çĮ® +æĭ¼ åij½ +管çIJĨ åĴĮ +æµģåĬ¨ æĢ§ +åħ¨ 家 +ä¸Ĭ æĸ¹ +æݨåĩº çļĦ +ä¸ī åĽ½ +ä¸Ģ个 æĺ¯ +æĸ° ä¸Ģè½® +æĸĩåĮĸ éģĹ产 +æ® º +大 æ¹¾åĮº +éĥ½ éľĢè¦ģ +çļĦ å®ŀéĻħ +ç· Ĭ +大 å¥ĸ +åħī èĬĴ +便 äºİ +çļĦ 表æĥħ +æ¼Ķ ç»İ +红 åĨĽ +å½ĵ æĪij +æ²» æĦĪ +é¢Ŀ 度 +éĿ ľ +ä»»ä½ķ 人 +è¡Ĺ 头 +çī¹ æĸ¯ +çī¹æĸ¯ æĭī +åĮ»çĸĹ æľºæŀĦ +ç»Ļ åŃ©åŃIJ +è§Ħ 磩 +è£ ľ +çļĦ 身影 +ä¸ĵ æłı +æĿ¥ 临 +ç«¥ å¹´ +å¤į èĭı +è¨ Ĥ +åŀĭ åı· +åĽ¾ æ¡Ī +ç®Ģ åİĨ +æĭ ± +èį· åħ° +ä»» æĦı +æī¿ æİ¥ +è¿Ļ æīį +客 车 +æľĿ çĿĢ +éłħ 缮 +åı° é£İ +çļĦ æĪ¿åŃIJ +éª ı +æĿ± 西 +éģĹ ä¼ł +è¶Ĭ å¤ļ +äºĨ ä»ĸçļĦ +ä¸Ĭ åij¨ +管çIJĨ åĪ¶åº¦ +失 ä¸ļ +çĶ· åıĭ +æİ¥ ç§į +å¨ģ åIJį +çĴ° å¢ĥ +åıijçĶŁ åľ¨ +个 åĽ½å®¶ +åĪĽæĸ° åıijå±ķ +æĶ¹åıĺ äºĨ +åģ¥åº· çļĦ +åĢ¼å¾Ĺ ä¸Ģ +åĢ¼å¾Ĺä¸Ģ æıIJ +åĽ¢ ä¼Ļ +åģĩ 设 +åı° ä¸Ĭ +è§ĦèĮĥ åĮĸ +éĻª åIJĮ +座 æ¤ħ +åı¯ æĢľ +åħĭæĢĿ 主ä¹ī +æ³ķå¾ĭ 责任 +ä¸Ģ é¡¿ +æĬ¬ 头 +为 éĩįçĤ¹ +è¿ľ æ´ĭ +éĢı è¿ĩ +åħ¨çIJĥ åĮĸ +趣 åij³ +票 æĪ¿ +æ¯ı 人 +åIJĦç§į åIJĦæł· +äºĨ åĩºæĿ¥ +ç»Ŀ对 æĺ¯ +ä¸ĭ å±ŀ +ä¸Ģ åıĮ +è¿Ļ åĿĹ +æĬĹ çĸ« +è¦ģ çĤ¹ +å½¢æĪIJ çļĦ +æĪij çľĭ +ä¸ĩ éĩĮ +èĢĥ çłĶ +为 åħ¶ +æ°ij 宿 +å¤ļ ä½į +大 èĩ´ +ä»ĺ è´¹ +åħ¥ æīĭ +å±ħ 家 +æīĢåľ¨ åľ° +人 身 +è¿ĩ å¾Ĺ +è¯ķ è¯ķ +访 è°Ī +åĬł éĩį +å°± ä¸įä¼ļ +çĶŁäº§ ä¼ģä¸ļ +åĽŀ åĽ½ +åºķ 线 +赶 åĪ° +æĶ¯ éĺŁ +æĪij们 éĥ½ +éĤ® æĶ¿ +缴 èĩ³ +éĴ¢ çIJ´ +åħ ľ +çłĶ讨 ä¼ļ +æľĪ 亮 +åĿļæĮģ 以 +åħ¬å®ī éĥ¨ +éĴ¢ 管 +å°ı çĻ½ +ç½® ä¸ļ +èģ ĭ +书 åĨĻ +æĿ ı +éħį æĸ¹ +èĢĮ åıĪ +çijŀ 士 +çķĮ çļĦ +èĢģ 大 +æĪIJçĨŁ çļĦ +å¹² ä»Ģä¹Ī +ä¸ĵ项 æĸĹäºī +çŃī å¤ļ个 +èĦ± 离 +ä¸ī 个æľĪ +çłĶ究 åijĺ +æĹĭ 转 +æŀģ èĩ´ +åħį è´£ +åħįè´£ 声æĺİ +å¾Īå¤ļ çݩ家 +车 ä¸Ĭ +交 äºĴ +å·² æĺ¯ +ä¸Ģ å°ı +çļĦ éĩįçĤ¹ +èĬ± äºĨ +ä¸į æĺİ +æľīåħ³ è§Ħå®ļ +çĬ¹ å¦Ĥ +çľ ¸ +å¯ ¡ +çļĦ è¡£æľį +åĮħ 裹 +身 åŃIJ +å¸ĪèĮĥ 大åѦ +äºĭ åħĪ +线 æĿ¡ +æ³ķ åĪ¶ +åħ» æĬ¤ +稳å®ļ æĢ§ +éĤ µ +åŀĦ æĸŃ +é¡ į +èĢĥ åı¤ +æĿł æĿĨ +èĭı èģĶ +æ°´ çĶµ +åħ·ä½ĵ çļĦ +æ¿Ģ æ´» +æĪij æł¡ +åĪļ å¼Ģå§ĭ +åĩ¸ æĺ¾ +ç¦ ¾ +åħ¼ èģĮ +éĢı éģİ +åľ¨ 游æĪıä¸Ń +社ä¼ļ åıijå±ķ +好 çİ© +å¹» æĥ³ +ä¸į 代表 +注æĦı åĬĽ +æ£ į +çĶ¨ æīĭ +ç¾İ 人 +许å¤ļ 人 +å¾Ī æĺ¯ +çļĦ çłĶåıij +æīĵ åĩº +åIJĪä¼Ļ 人 +ä¸Ģ å¤ľ +ç¼ĵ ç¼ĵ +ä¿® æŃ£ +æĦŁ çŁ¥ +ç»Ī 身 +æ¿Ģ ç´ł +çݯå¢ĥ ä¸ĭ +次 ä¼ļè®® +ç»ıæµİ å¢ŀéķ¿ +æī Ľ +åıij éħµ +åĪĨæŀIJ å¸Ī +åľ¨ æľªæĿ¥ +主è¦ģ æľī +ä¸Ģ åŃ£åº¦ +çļĦ 说æ³ķ +ä»İæĿ¥ 没æľī +è´§ 车 +缩 å°ı +太 è¿ĩ +æķĪ åĬĽ +ä¸į ä¸ĭ +æĬķ 稿 +èį¯ ä¸ļ +ç»Ħ éķ¿ +ç«Ļ çĤ¹ +å¾Ī åĸľæ¬¢ +éIJ µ +åĬ¿ 头 +æ¼ı æ´ŀ +æĦ¤ æĢĴ +åħħ å®ŀ +åĪĽä¸ļ æĿ¿ +çĪ ª +æľª å¿ħ +åºķ éĥ¨ +å¾Ĺ åĪĨ +人æ°ij åĮ»éĻ¢ +äºĮæīĭ æĪ¿ +å·²ç»ı 被 +大 楼 +æĸ° æĪ¿ +辦 æ³ķ +çĶ¨ åĬĽ +æĭĵ 宽 +åĨħ åľ¨ +æĴŃ åĩº +饰 æ¼Ķ +ä¹Ł 让 +ä½ľ çĤº +çī©ä¸ļ 管çIJĨ +åį´ ä¸į +为 ä¸ŃåĽ½ +å±Ģ åĬ¿ +ä¸į èĤ¯ +æľĢ æĸ°çļĦ +åı¯ä»¥ éĢīæĭ© +æĺ¾ çİ° +å°± ç®Ĺæĺ¯ +åľ¨ æł¡ +é¾ Ł +两 æĿ¡ +çļĦ å®ŀåĬĽ +è¶Ĭ 好 +她 åľ¨ +å¿ł è¯ļ +ä¹Ł éľĢè¦ģ +游æĪı æĵįä½ľ +è¶ħ åĩº +å¦Ĥæŀľ ä¸į +æīĢåľ¨ çļĦ +ä½ł è¿ĺ +以 åĨħ +æľī ä¸Ģå®ļ +åı¯ è¾¾ +è·ij åĪ° +åī Ľ +建ç«ĭ åģ¥åħ¨ +æķ´ 车 +åīį æĸ¹ +éĹ´ æİ¥ +çŃ¹ å¤ĩ +çĸ² åĬ³ +离 å¼ĢäºĨ +æ± Ŀ +éĿ¢ éĥ¨ +ä¹ĭåīį çļĦ +åıĺ 为 +å¦Ĥæŀľ 说 +对 ä»ĺ +åĿĩ åı¯ +被åijĬ 人 +ç²¾ ç¾İ +èģļ ä¼ļ +çĿĢ æĢ¥ +è°· æŃĮ +ä¸Ģ åı· +红 åĪ© +ä¼łå¥ĩ 游æĪı +å» ĸ +è´ ŀ +ä¹° åĪ° +éŃ ļ +ä½ĵ è´¨ +å°ij äºĨ +æ³ī å·ŀ +åIJ Ł +ç»Ŀ ä¸į +é»ij æģ¶ +é»ijæģ¶ åĬ¿åĬĽ +ä¸Ĭ æĺł +çļĦè¯Ŀ é¢ĺ +ä¸ĩ人 次 +ä¸ĸ éĹ´ +çĶ¨ å·¥ +è´¯ ç©¿ +å®Ŀ çŁ³ +ä½ł 好 +åĪĩ åī² +强 åĽ½ +åĽŀ èIJ½ +æ°´ æĻ¶ +模 仿 +æ´ª æ°´ +éĢĻ 麼 +åįģä¸ī äºĶ +ä½ ij +éĻ Ħ件 +çļĦ å¢ŀéķ¿ +éĻĦ å±ŀ +çİ° å·² +帮 ä½ł +éĩij çīĮ +é«ĺ åİŁ +åľ¨ 家éĩĮ +éĺ² èħIJ +ç¡®å®ŀ æĺ¯ +宣 讲 +天 æīį +ç»ıèIJ¥ 管çIJĨ +éĶħ çĤī +åIJĪ ä¸Ģ +è§Ĥ èµı +éķ¿ è¾¾ +主ä¹ī æĢĿæĥ³ +éĤ£ 麼 +é£İ äºij +为主 çļĦ +æļij åģĩ +æĮģ ä¹ħ +å¼Ĥ åľ° +å¼Ģ éŨ +模 æĿ¿ +æī¹ 次 +ä¸į 便 +天 çĶŁ +åĩł 个æľĪ +ä¸ĵ ç§ij +åı¦ æľī +åħ¬å¸ĥ çļĦ +æĩ · +åľº åIJĪ +çļĦå¿ĥ æĢģ +è¿ĺ 好 +å®ŀ æĪĺ +èĢģå¸Ī çļĦ +åħ© åĢĭ +åı¯ åľ¨ +éĤ£ ä½į +å¥ł å®ļäºĨ +ä¿ĥ éĶĢ +æı´ åĬ© +ä¸ĩ çī© +æĥħ æĬ¥ +é¦ĸåħĪ è¦ģ +æĸĩåĮĸ åĴĮ +éĥ½ å·²ç»ı +ä¸Ĭ ä¸ĸ纪 +åĨľ åľº +大 æī¹ +æĺİçĻ½ äºĨ +çļĦ æĪIJéķ¿ +çļĦ æ¯ĶèµĽ +失 误 +åģļ æĪIJ +ä»Ĭ天 å°ıç¼ĸ +é¢Ĩ è¢ĸ +æıIJåįĩ äºĨ +å¾IJ å·ŀ +ä»į æľī +è¿ĩ 滤 +å¹½ é»ĺ +çĥŃ éĩı +ä¸Ģ é¦ĸ +æ¼Ĥ亮 çļĦ +åĩł ç§į +åĢ¡ è®® +å°±åı¯ä»¥ äºĨ +æİĴ åĪĹ +éĩį éĩį +ä¼ģä¸ļ åĴĮ +ä¸ĵ å±ŀ +çħ İ +亲 æĪļ +çĻ¾åĪĨ ä¹ĭ +稿 件 +è¿ĺ å¾Ĺ +人 åĵ¡ +äºī 夺 +æĽ´ 容æĺĵ +大 èĩªçĦ¶ +鼻 èħ¦ +太 空 +åľ° å¤Ħ +å¤ ¢ +ä»ĸ 对 +å¿ħ å°Ĩ +ä¸į å½ĵ +严 è°¨ +åĩº åľº +å·²ç»ı æľī +é¢Ĩ åĨĽ +é«ĺ æ¡£ +ä¸Ģ æīĢ +æł Ĺ +让 åѦçĶŁ +æĽ¹ æĵį +æŁIJ ä¸Ģ +伸 åĩº +èĬ± åįī +æ¸ħ éĨĴ +èģĶç³» æĸ¹å¼ı +åĪĨ å±Ģ +èħ ³ +æ©¡ èĥ¶ +éķ¿ å¾Ĺ +绿 åľ° +è¢ į +çļĦ èīºæľ¯ +女 æľĭåıĭ +ä¸Ń è¶ħ +离 åŃIJ +å¤ļæł· åĮĸ +éĺ³ åı° +ä½İ 碳 +ä¸Ģ ç±» +çŃīæĸ¹éĿ¢ çļĦ +å¾Ĺ 好 +模 åħ· +ä¸ĩ 亿 +çķĻ æĦı +临 æ²Ĥ +å°ij éĩı +çľĭ åIJij +ç»ıèIJ¥ èĢħ +çķĻä¸ĭ äºĨ +åĿı äºĨ +åijĬ åĪ« +羣 çIJĨ +ç¼´ è´¹ +æĬĬ ä½ł +çļĦ ä»»åĬ¡ +æĪij 对 +ä¹° åħ¥ +çĻ» ä¸Ĭ +æľī 两个 +ä¸Ģ 头 +æĵį æݧ +åħ¨ è¦ĨçĽĸ +çĿĢ æīĭ +å¢Ļ éĿ¢ +å¤ļ æĸ¹ +åı¯çĪ± çļĦ +ä¹Ł åı¯èĥ½ +æľĢ æľī +è¿ĻäºĽ éĥ½æĺ¯ +æĥ ¡ +å® ® +å¾Ī å°ı +éĹ®é¢ĺ æĺ¯ +åĿĩ æľī +å¾ģ éĽĨ +说 åĩº +æľī æĦı +é¢ Ĥ +æī¬ å·ŀ +åķĨä¸ļ 模å¼ı +çĶŁ èĤĸ +æįIJ 款 +å² Ĥ +ç¾İ æĻ¯ +è¿ĺ 羣 +æĭ¥ æĬ± +身ä½ĵ åģ¥åº· +æ·± å¤Ħ +çľ¼ ç¥ŀ +çļĦ 形象 +ä¼ĺ è¶Ĭ +å½ĵ æĪIJ +åĮº åĪĨ +åİ» éĻ¤ +注 å®ļ +å§IJ 妹 +åĮº åĨħ +é© ļ +æļĹ ç¤º +æĺİ äº® +æħ° éĹ® +å¸Ĥåľº 份é¢Ŀ +çĮª èĤī +çļĦ èµĦéĩij +åİĨ ç»ı +å§ĭç»Ī åĿļæĮģ +çĶŁ æľº +ä¸į 顾 +éĩij åĪļ +大 声 +éĻķ 西çľģ +é² į +åĨľä¸ļ åĨľæĿij +æľī 害 +éŨ è¯Ĭ +æ¯ı ä¸Ģ次 +çļĦ åĽłç´ł +é¢Ŀ å¤ĸ +åİ¿ 级 +çļĩ åIJİ +åĽ½ ä¼ģ +é¦ĸ éĢī +ç¼ĸ åĨĻ +æĭ¿ èµ· +åģ· åģ· +ä¸İ ä¸ŃåĽ½ +åįĸ 家 +ç»Ļ ä»ĸ们 +ç¥ŀ è¯Ŀ +åѸ æł¡ +æĪij ä¸Ģ缴 +çŁ¥éģĵ äºĨ +åį Ĵ +åĴĮ åľ°åĮº +ä»Ģä¹Ī éĥ½ +çĶ» 家 +æľ¬ çĿĢ +ä½Ļ åIJį +审 çIJĨ +ä¸Ģ åIJij +åıijå±ķ è¶ĭåĬ¿ +åĮº éĹ´ +注åĨĮ èµĦæľ¬ +çIJ ¦ +ä¸į åı¯ä»¥ +çļĦ åĦ¿åŃIJ +åĢ¼ çıŃ +ä¸¥æł¼ çļĦ +å®ŀä½ĵ ç»ıæµİ +æľī æĿĥ +æĪij åıĪ +éĵ¶ æ²³ +ç«ĭ 马 +æĿĢ äºĨ +åĮħ 容 +管 家 +身 é«Ķ +éĵ ħ +å°ı åŃIJ +管çIJĨ ç³»ç»Ł +æľīçļĦ 人 +é£İ çĶµ +æĻºèĥ½ åĪ¶éĢł +ç²¾ ç¡® +æĭĽåķĨ å¼ķ +æĭĽåķĨå¼ķ èµĦ +äºĮæīĭ 车 +åİ¿ å§Ķ +èīº 人 +å¥ ķ +è¿İ æĿ¥äºĨ +ç»ĵæĿŁ äºĨ +çļĦ ä¼łç»Ł +æĭ¼ æIJı +奥 迪 +çĸij æĥij +ä¹ĭ æĹ¥èµ· +æłĩå¿Ĺ çĿĢ +åľ° åįĢ +è¯ł éĩĬ +åĪ° æľŁ +åħ¨ éĥ½ +çŁŃ æļĤ +æĺ¯ æĪijåĽ½ +æĪij å·²ç»ı +æ»´ æ»´ +天 èµĭ +对 她 +åį«çĶŁ éĹ´ +çĶŁäº§ åŁºåľ° +æĹ¥ è®° +çļĦ æķĻåѦ +åĵ ĩ +æ°ij äºĭ +è¿ĺ åİŁ +æīĭ ä¸ŃçļĦ +çļĦ èī¯å¥½ +æ· « +ä¸Ńåħ± ä¸Ń央 +åĪ ĥ +åĵ Ħ +åľ¨ ä»ĸçļĦ +å°Ī æ¥Ń +åľº éĿ¢ +éĤ» å±ħ +çĹ Ĵ +å¦ Ħ +å¤ĸ ç§ij +ä¸į éĢĤ +举åĬŀ çļĦ +é Ĥ¹ +åħļçļĦ 建设 +çĻ¼ 表 +è·¨ çķĮ +æ²ī æ·Ģ +大 çīĩ +è¶Ĭ é«ĺ +å°Ĩ æĺ¯ +è§ī éĨĴ +åĤ¨ åŃĺ +å¢ŀ 大 +ä¸į 让 +æķ´ å½¢ +å¹³åı° ä¸Ĭ +åĩł ä½į +è¯ī æ±Ĥ +好 ä¸į好 +åľ į +æĸĩ æľ¬ +éĢ² åħ¥ +ç´ į +æł¹ æĵļ +èįī æ¡Ī +åħŃ ä¸ª +åĭ ¿ +åĪ¶ æĪIJ +饮 æ°´ +æ°¸ æģĴ +èĩª æĿĢ +åı¸ 马 +éļ¾ çĤ¹ +为 æĪij们 +å¼ § +åī© ä¸ĭçļĦ +åĩĨå¤ĩ 好 +çļĦ æľĢä½³ +èģĶåIJĪ ä¼ļ +æĤ£èĢħ çļĦ +æĪijä¸į çŁ¥éģĵ +ä¸ĭ ä¸Ģ个 +åıijå±ķ æĸ¹åIJij +ç¬ ¨ +æīĢ以 æĪij们 +åĨĻ äºĨ +éĢł æĪIJäºĨ +æ²Ļ æ¼ł +çŃĽ éĢī +çģ¾ åĮº +ä¸Ĭ çľĭ +éħ ¶ +æ»ļ åĬ¨ +éļ¾ åħį +åIJī åĪ© +ä¸Ģ ä¸Ģ +ç²¾ å¯Ĩ +伸 æīĭ +礼 仪 +åħ¨ æĺ¯ +è¶Ĭ 大 +ä¸Ń æłĩ +åıĸ åĨ³ +åıĸåĨ³ äºİ +éĢĶ ä¸Ń +讨 åİĮ +æīĭ åĨĮ +第 ä¹Ŀ +åŃĶ åŃIJ +çĦ¶ å¾Į +ä¸Ģ åħ± +æµ· æĬ¥ +款 å¼ı +æķ´ 天 +è¾¹ çķĮ +è·¯ è¾¹ +æĻĭ 级 +åIJIJ 槽 +çļĦ åħ³æ³¨ +æĪij 没æľī +å°±æĺ¯ åľ¨ +缮 çļĦæĺ¯ +åį³ä½¿ æĺ¯ +顶 å°ĸ +å·²ç»ı åľ¨ +å®īåħ¨ éļIJæĤ£ +æłĩ æĿĨ +åįĹ éĢļ +ä¼ļ 对 +座 ä½į +èµ¢å¾Ĺ äºĨ +åİŁæĿ¥ çļĦ +身 为 +书 åºĹ +è¢Ń åĩ» +ä»Ĭ æĻļ +以 èī² +以èī² åĪĹ +æĬĸ éŁ³ +åį´ 没æľī +丧 失 +çļĦ å±ĢéĿ¢ +åįģåĽĽ äºĶ +çŃī 缸åħ³ +æ±ĩ æĢ» +å¤ĸ 表 +为 æ°ij +éľĩ æĥĬ +å¥Ĺ è·¯ +çĬ¯ç½ª å«Įçĸij +å°Ĩ 以 +çİĩ é¢Ĩ +éħĴ åIJ§ +è¡Įä¸ļ åıijå±ķ +å¹´ èĩ³ +åĻ¨ æĿIJ +åĴĮ æĬĢæľ¯ +æľĢ å°ı +è¿Ļä¸Ģ åĪĩ +èģĮ 称 +å½ĵ ä½ľ +æİĢ èµ· +åĴ ĭ +ä¸Ń éĥ¨ +æīĭ èĩĤ +ç½¢ äºĨ +媳 å¦ĩ +æ´½ è°Ī +æĹ¶ä»£ ä¸ŃåĽ½ +人çĶŁ çļĦ +æŀģ éĻIJ +ç¦ Ħ +åĮº æĶ¿åºľ +æľ¬ éĴ± +礼 åĵģ +çļĦ éĤ£ä¸ª +侦 æŁ¥ +太å¤ļ çļĦ +å®ŀæĸ½ æĸ¹æ¡Ī +é«ĺ æłĩåĩĨ +æĮĩæĮ¥ éĥ¨ +åĢ¾ æĸľ +çī¹èī² 社ä¼ļ +çµIJ æŀľ +éĴ» çŁ³ +移 æ¤į +çī¹ ç§į +èĩª æĦ¿ +æĭľ çĻ» +åįķ 身 +åį´ åıĪ +åĪ¥ 人 +åIJĪ è§Ħ +æľº çĶµ +çī¹ æĦı +å½ĵåīį ä½įç½® +ä¹° 家 +åIJĪ 约 +èĤ© èĨĢ +为 åĩĨ +家 è£ħ +çļĦ çĥŃæĥħ +éĿŀ éģĹ +çļĦ éŃħåĬĽ +åİŁ åijĬ +社ä¼ļ åIJĦçķĮ +ä¹° çļĦ +å¤ļ åIJĥ +éĽķ å¡ij +èµ· ä¹ī +åĬł åī§ +éĤ£ä¸Ģ åĪ» +å°Ĩ è¿Ľä¸ĢæŃ¥ +æ¡Ĥ æŀĹ +æĽ´ 强 +对 ä¼ģä¸ļ +æĹł æĦı +ä¹łè¿ijå¹³ æĸ° +æµģ 失 +å¾® 软 +缸 对äºİ +座è°Ī ä¼ļ +主 èIJ¥ä¸ļ +主èIJ¥ä¸ļ åĬ¡ +ç§ģ åĭŁ +å±ķ示 äºĨ +常æĢģ åĮĸ +è² ´ +符 åı· +å¹´è½» çļĦ +å°± éľĢè¦ģ +ä¹Ł æĽ¾ +çļĦæĥħ 绪 +è¾¾ æłĩ +èĩ ¨ +ä½į å±ħ +ä»ħ 为 +é¦ĸ 家 +éĺ´ éĺ³ +ä¸įåĨį æĺ¯ +åĽłä¸º å®ĥ +ä¼ģä¸ļ åľ¨ +çĺ ¾ +åIJ¬ è§ģ +åİŁ æľī +åĪ¶ è£ģ +å¯Ĥ å¯ŀ +éĢļè¿ĩ 对 +æ»ij éĽª +è¿Ļ å¼ł +çļĦ çIJĨ解 +æĸ° ä¸ŃåĽ½ +è¿Ļ åĦ¿ +ä½İ ä»· +æĥ³ è¿ĩ +çļĦ ä¿¡å¿ĥ +建çŃij çī© +çļĦ é¢ľèī² +ä¸į åºĶ该 +æĹłçĸij æĺ¯ +å¼ķèµ· äºĨ +åħ¨ åijĺ +æĿ° åĩº +è¿Ļæĺ¯ æĪij +èª ° +èĺ ĩ +éĺµ åľ° +åħħ åĢ¼ +çŁ¿ ä¸ļ +çĿĢ ä»ĸ +ä¿¡ 访 +ä¸ĩ è¾¾ +æij© æĵ¦ +å¼Ģ 端 +èı² å¾ĭ +èı²å¾ĭ 宾 +车 åŃIJ +æľ¬èº« çļĦ +çģ«è½¦ ç«Ļ +常 å·ŀ +为 代表 +为代表 çļĦ +广 çĶµ +亲 人 +åı³ æīĭ +éĽĨ è£ħ +éĽĨè£ħ ç®± +çļĦ åį°è±¡ +æ©Ł æľĥ +åĮĨ åĮĨ +åħī çĶµ +大 æĸ¹ +è¿ĺ æľª +åĪ© 好 +ç»Ŀ 大å¤ļæķ° +åľ¨ è¿Ļç§į +ä¸Ģ ç»Ħ +æĸ° èĤ¡ +转 åıij +æ³ķ åºŃ +æĹł æīĢ +éģĵ è·¯ä¸Ĭ +çŁ¿ å±± +èij ī +æĶ¶ åĽŀ +称 ä¹ĭ +称ä¹ĭ 为 +æıŃ éľ² +åı£ 岸 +åIJ ¼ +å¿ĥ æĥ³ +çļĦ 梦æĥ³ +éĽ ¯ +ä¹ĭ åĪĿ +å¥ĸ 项 +订 éĺħ +èĵĿ 天 +åĿ¦ åħĭ +ç«ĭ æ¡Ī +èģĶ æīĭ +ä½Ĩæĺ¯ æĪij +帮 æĪij +ä»ħ 代表 +说 æĪij +çļĦ è¶ĭåĬ¿ +æ¯Ķè¾ĥ 大 +èµ° å»Ĭ +éĩįçĤ¹ é¡¹çĽ® +èµĮ åľº +åIJį çīĩ +æĦŁ åı¹ +åľ¨ åľ°ä¸Ĭ +åıij çĥŃ +èĮĥ çķ´ +çļĦ éģĵè·¯ +éĩij èī² +ä»ĸ åıĪ +ä¼ļ 产çĶŁ +æ°ij åĽ½ +å®ĺæĸ¹ ç½ijç«Ļ +æĶ¶çĽĬ çİĩ +çļĦ åĪ°æĿ¥ +çļĦ åĬŀæ³ķ +æĶ¹ åĪ¶ +ä¸ĩ ç§ij +ä¸į äºĪ +è¿ĻäºĽ éĹ®é¢ĺ +çĪ± ä¸Ĭ +çIJĥ åľº +è´£ 令 +æİĪ 课 +åľ¨ é¦Ļ港 +ç»Ĩ èħ» +å¤ļ ä¸ĩ +åIJĮ å¹´ +大 使 +æĸ ĭ +ä¹Ł 为 +æĥł å·ŀ +åIJī 祥 +çĶ° åĽŃ +åĽ½å®¶ éĺŁ +éĩį çĶŁ +åľ¨ åħ¶ +é¦Ļ åij³ +è´Ł èį· +亲 åĪĩ +èĩª 豪 +没 éĶĻ +åĽłä¸º åľ¨ +æĺŁ æĺŁ +éĤ ij +è¿ĺæľī å¾Īå¤ļ +æij© æīĺ +æij©æīĺ 车 +æŃ¥ è¡Į +管çIJĨ ä½ĵç³» +èĦļ ä¸ĭ +éģİ åİ» +æ±ī è¯Ń +对 ä¸įèµ· +çļĦ ç»ıåİĨ +åıĬ 缸åħ³ +ä¸įå°ij 人 +éĩį ç£ħ +åĬ³åĬ¨ èĢħ +大åĬĽ åıijå±ķ +æĢİä¹Ī åģļ +çĭĹ çĭĹ +举åįĹ äºļ +åĭĩ äºİ +åħ¬ éĸĭ +çĵ· çłĸ +åıĤ çħ§ +广æĴŃ çĶµè§Ĩ +举 åĬ¨ +æ±Ł 西çľģ +æķĪ èĥ½ +åĶ¯ æľī +éĿ¢ è²Į +èĩªåĬ¨ 驾驶 +æ¦ľ åįķ +å½ĵ æĪij们 +仲 è£ģ +æľ¨ æĿIJ +ç±³ åħ° +çĻ½ éĵ¶ +çļĦ 人éĥ½ +å°± åĥıæĺ¯ +æŃ¥ åħ¥ +åįł çĶ¨ +åĩ» è´¥ +让 大家 +ä¼ļ è®©ä½ł +åİ¿ æĶ¿åºľ +è¦ģ çĶ¨ +çŃī å½¢å¼ı +åįĩ é«ĺ +责任 æĦŁ +å¤ĩ çĶ¨ +ä»ĸ 认为 +æ¸ħåįİ å¤§åѦ +ä»ĸ èĩªå·± +éĸ± è®Ģ +太平 æ´ĭ +éĶģ å®ļ +çŃ Ĩ +è¿Ļ çīĩ +æī§ æĶ¿ +è¿ĶåĽŀ æIJľçĭIJ +å°± æѤ +éģĩ åĪ°äºĨ +å¼Ģå¹ķ å¼ı +管çIJĨ éĥ¨éŨ +姿 åĬ¿ +设 æĥ³ +åĽĽ åŃ£ +æĬĢæľ¯ 人åijĺ +å·® çĤ¹ +è¾ŀ èģĮ +èĢģ 師 +çļĦ æĦŁåıĹ +ä¹Ł éĿŀ常 +å¹´ ä¸ĬåįĬå¹´ +æĢª çī© +èĮĥ æĸĩ +æĪĺ å½¹ +åIJ« ä¹ī +åħ¨ è¿ĩç¨ĭ +èĢĮ éĿŀ +éĢļ讯 åijĺ +è¿Ļæł· æīįèĥ½ +æľº ç»Ħ +è£ ı +çķ¶ çĦ¶ +èµĮ åįļ +åIJĦ æľī +å·¥ä½ľ æľºåĪ¶ +äºĭ åIJİ +åī§ éĻ¢ +å±Ĭ æŶ +åĺ´ éĩĮ +主 线 +ä¸Ģ åľĪ +主è¦ģ åİŁåĽł +å°¸ ä½ĵ +åĮ»çĸĹ åĻ¨æ¢° +ä½ł æĢİä¹Ī +ä½Ĩ çĶ±äºİ +æŶ 空 +çĶ· æľĭåıĭ +çĶľ èľľ +é«ĺ åľ° +æĻ ĸ +èĴIJ éĽĨ +åĩĿèģļ åĬĽ +å¤ĩ åıĹ +æĸĩ åĪĽ +马 æĿ¥ +马æĿ¥ 西äºļ +æŁ´ æ²¹ +使 人 +æķĻ ä¼ļ +ç§ĭ 天 +æĺİ çıł +åħŃ åįģ +çݯå¢ĥ ä¸Ń +æ¸ħ æĻ¨ +积æŀģ åıĤä¸İ +å·ħ å³° +为 æľŁ +çŃ¾ åŃĹ +æĦŁ æ¿Ģ +ç§ĭ åŃ£ +æĿij åŃIJ +æ¢ħ 西 +æļ´ 鼨 +çĶŁæ´» åľ¨ +çªĹ æĪ· +æģ¶ åĬ£ +纯 ç²¹ +åľ¨ æİ¥åıĹ +没 èĥ½ +è¡Į 人 +åĭ º +æĭ¨ æīĵ +ä½ľ åĩºäºĨ +çļĦ 主é¢ĺ +æľª ä¾Ĩ +ä¸Ń æľĢ +æ¾ ľ +é«ĺ è¡Ģåİĭ +åħ´ èµ· +æŃ£ èĥ½éĩı +åŁ¹è®Ń çıŃ +æİ¥ åħ¥ +çĦ¶åIJİ åĨį +åѦçĶŁ 们 +é¢ĨåħĪ çļĦ +çģ« çĥŃ +ä¸ĵ èģĮ +æĪĸèĢħ 说 +建 è¨Ń +é» ı +对 åħ¬åı¸ +çī¹ æľīçļĦ +åħī èį£ +å½ĵ åľº +éĿ¢ åŃIJ +èµĦ产 管çIJĨ +æĹ¶æľŁ çļĦ +çŀ İ +åįİ ä¸ľ +åıĪ ä¸Ģ次 +èĥİ åĦ¿ +å®ļ çĤ¹ +头 çĹĽ +液 ä½ĵ +æĺ¯ä¸Ģ ä½į +帽 åŃIJ +å¹´ èµ· +ä¸į ä½İäºİ +è¾ĥ å°ij +éĿ¢ä¸´ çĿĢ +å±Ĥ å±Ĥ +èĿ´ èĿ¶ +èī° èĭ¦ +éĺ¿ æł¹ +éĺ¿æł¹ å»· +æ¦Ĥ æĭ¬ +请 éĹ® +èµ· åºĬ +å±Ģ å±Ģéķ¿ +稳 åģ¥ +å¦Ĥæŀľ æĪij们 +éħĴ ç²¾ +æĪ· åı£ +æĦŁ æĤŁ +æĪij们 éľĢè¦ģ +æĬĢ èīº +èĩª åªĴä½ĵ +è¿Ľ åĮĸ +æ¿ĢçĥĪ çļĦ +ä½ĵ 温 +èļ ķ +èĩ´ è¾ŀ +宪 æ³ķ +ä¸Ģ çŃīå¥ĸ +çĵ¶ é¢Ī +æĥł æ°ij +èµ° è·¯ +çİ° ä»» +åķĨ éĩı +ä¸ĭ 车 +åĪ ł +責 ä»» +èŀįåIJĪ åıijå±ķ +ç´ł æĿIJ +æ²¹ ä»· +åģļ 人 +çŀ ª +æĶ¹éĿ© åĪĽæĸ° +çļĦ åĮºåĪ« +è·¨å¢ĥ çĶµåķĨ +æ¶īåıĬ åĪ° +æīĺ 管 +æĪij è¿ĺæĺ¯ +åĿIJ æłĩ +ç½ij 讯 +å½ĵåľ° çļĦ +追 溯 +åľŁ èĢ³ +åľŁèĢ³ åħ¶ +åºķ ä¸ĭ +åĩł åįģå¹´ +ç©¿ è¿ĩ +çĶŁæĢģ æĸĩæĺİ +æݨ èĸ +æݨèĸ ¦ +éł Ĩ +åĴ³ åĹ½ +åĪĨ æĪIJ +çĹķ 迹 +æĪ· ç±į +éĥ½ ä¸įèĥ½ +æĻļ ä¼ļ +åĢ © +ä½ĵ åĬĽ +è¿Ļ个 èģĮä¸ļ +æĹł å½¢ +åıª æĥ³ +è¿Ľ åıĸ +æĿĢ æŃ» +èĦ Ĭ +äºij åįĹçľģ +æľª çŁ¥ +ç¾İ èģĶ +ç¾İèģĶ åĤ¨ +å¤ĸ å½¢ +诱 æĥij +çĽ £ +è¡Į 使 +åłĨ 积 +çĨŁ ç»ĥ +éĺIJ è¿° +æľĢ大 éĻIJ度 +å·¡ æŁ¥ +夺 åĨł +ä¼ģä¸ļ æĸĩåĮĸ +çĭ® åŃIJ +ä¿Ŀ å®Ī +ä¸ºæł¸å¿ĥ çļĦ +æī© æķ£ +åĪ¶éĢł åķĨ +æŁĶ 软 +为ä¸Ģä½ĵ çļĦ +游 çİ© +çĶŁ çĹħ +幫 åĬ© +åĶ± æŃĮ +æīį åı¯ä»¥ +宽 æĿ¾ +è¦ģ æ¯Ķ +æĺ¯ æĢİæł· +çģ° èī² +çİĭ åĽ½ +æIJħ æĭĮ +计 éĩı +åij¨åĽ´ çļĦ +æĻºèĥ½ æīĭæľº +常 åĬ¡ +常åĬ¡ åī¯ +é© ´ +å°Ĩ è¿ij +寻 常 +ä¸ŃåĽ½ å¸Ĥåľº +容 åĻ¨ +å±± ä¸Ĭ +èĥĮåIJİ çļĦ +亲 å¯Ĩ +æīĢ以 说 +éİ ® +çļĦ çIJĨçĶ± +大 åŁİå¸Ĥ +常 å¹´ +æĹħ游 ä¸ļ +å°±æĺ¯ è¿Ļæł· +åĨį æĿ¥ +é«ĺ ä½į +åĨħ 饰 +æŀĦ éĢł +ä¸Ģ èµ·æĿ¥ +çĶ³ è«ĭ +å·²ç»ı å¼Ģå§ĭ +çļĦ åĬ¨ä½ľ +被 è¿« +éģį å¸ĥ +åīĸ æŀIJ +å°ı äºĭ +å¿ĥ ä¸ŃçļĦ +ä½ĵåĪ¶ æĶ¹éĿ© +çļĩ 家 +æķĻ åłĤ +åIJĥ å®Į +åĽ½æ°ij åħļ +æĺİç¡® äºĨ +åıijå±ķ è§ĦåĪĴ +第ä¸Ģ æŃ¥ +å¾Ĺ èµ· +åľ¨ åĵª +çļĦ è·¯ä¸Ĭ +é» Ķ +çķ¶ æĻĤ +大åĬĽ æĶ¯æĮģ +åıĮ éĩį +çŁ¥éģĵ èĩªå·± +åIJĪä½ľ åįıè®® +æ°Ķ åĬ¿ +éķ¿æķĪ æľºåĪ¶ +ç½ķ è§ģ +åĽŀ æĿ¥äºĨ +ä»ĸ ä¼ļ +ä¸Ń æĸ° +ä¸Ńæĸ° ç½ij +çļĦ åķĨåĵģ +èµł éĢģ +決 å®ļ +å¸Ĥåľº çĽij管 +çķĻ åѦçĶŁ +çĶµ åİĭ +äºļ 马 +äºļ马 éĢĬ +è¿ĺæĺ¯ æ¯Ķè¾ĥ +ä¿ĥè¿Ľ äºĨ +æµģ åħ¥ +æijĦ åĥı +æijĦåĥı 头 +æıIJ åıĬ +åıij æİĺ +æī¾ åĩº +æ¢Ŀ 件 +ç¹¼ çºĮ +æĪij åĸľæ¬¢ +å¥ İ +æ¦ľ æł· +å¼Ģ èĬ± +æ²ī éĩį +åŁº åĩĨ +ä»ħä»ħ æĺ¯ +轨éģĵ 交éĢļ +åĶIJ å±± +çŃī ä¸Ģç³»åĪĹ +ä¸įè¿ĩ æĺ¯ +åŃĺåľ¨ çĿĢ +èĬ± çĶŁ +å¤ · +ç»Ī 究 +ä¹Łæĺ¯ ä¸Ģ个 +åįģ åŃĹ +èĸª éħ¬ +伤 å¿ĥ +æĺ¥ ç§ĭ +åĨ· åį´ +ç²¾ çģµ +çļĦ åľ°åĽ¾ +æ¯Ķ çī¹ +æ¯Ķçī¹ å¸ģ +æĢ§ åĪ« +ä½Ļ ä¸ĩåħĥ +ä¸įå¿ĺ åĪĿå¿ĥ +å¿ĥ çĸ¼ +æĽ² 线 +é«ĺ ä½İ +è¦ı å®ļ +æĻ¯ èī² +è¦ģ 说 +åħ¬åı¸ å°Ĩ +液 åİĭ +è¿Ŀ 约 +åİļ 度 +åºŀ 大çļĦ +è¿ĺæĺ¯ å¾Ī +é¦ĸåħĪ æĺ¯ +çµ ² +åĬ¡ å®ŀ +並 ä¸Ķ +å¢ŀ è¿Ľ +ç»Ħç»ĩ å¼Ģå±ķ +èµ·æĿ¥ äºĨ +è¾ĥ å°ı +导 游 +两 åľ° +ç¿ ĺ +çģ¿ çĥĤ +é£İ éĩĩ +æĶ¯ 线 +æĶ¯çº¿ ä»»åĬ¡ +娱ä¹IJ åľĪ +天津 å¸Ĥ +åĮħ åĽ´ +æľ¬ èµĽåŃ£ +éĩįè¦ģ 讲è¯Ŀ +åıĮ åIJij +åįİ ä¸½ +éĶ ¤ +åĦ¿ 女 +åįĸ åĩº +ä¾Ĩ 說 +ä»ĭç»į ä¸Ģä¸ĭ +åIJ¦ 认 +åĭ Ŀ +æĻ®éĢļ 人 +çļĦ åĬ¨åĬĽ +涨 åģľ +åŁºéĩij 管çIJĨ +ä¸Ģ个 éĩįè¦ģ +è¿IJ æ²³ +çħ ŀ +è´¢æĶ¿ éĥ¨ +è¡Įä¸ļ åįıä¼ļ +éĥ½ å°Ĩ +è¨Ģ 论 +ä¸ĭ ä¾Ĩ +墨 西 +墨西 åĵ¥ +åĽłä¸º ä»ĸ们 +æĢİä¹Ī åĽŀäºĭ +åĬłå¤§ 对 +èĬ Ń +çīĮ åŃIJ +ä¼ļ 使 +妹 åŃIJ +ç«Ļ éķ¿ +å¿ħ å¤ĩ +æłij æľ¨ +æģ¶ æĦı +æ²³ éģĵ +å¯Į è£ķ +ç¹ģ åįİ +代表 åĽ¢ +æµij 身 +é¦ĸ ä½į +èĪªç©º åħ¬åı¸ +鼻 å½± +ä¸ĵ è¾ij +æ°´ æºIJ +ä¸Ń æ¯Ĵ +並 ä¸į +èĢĮ åİ» +é ĥĿ +äºİ æѤ +æĸĩåĮĸ 建设 +èĤ¯å®ļ ä¼ļ +å¸ĮæľĽ 大家 +æıı åĨĻ +ä½İ è°ĥ +æĸ°åħ´ 产ä¸ļ +æ·Ħ åįļ +æĶ¾ å¼Ģ +çļĦ æĢ§æł¼ +çĸ¾çĹħ çļĦ +æķ´ é¡¿ +线ä¸Ĭ 线ä¸ĭ +éĢī 项 +çļĦ 认åı¯ +æķ´ é½IJ +çĶļ ä¹Ī +çľģ åĨħ +åı¤ 人 +æ°ij ä¿Ĺ +çī¡ 丹 +éŨ çªĹ +éĤ£ æł·çļĦ +çĽijäºĭ ä¼ļ +ç¿¡ ç¿ł +ç¦ ¹ +åįĥä¸ĩ ä¸įè¦ģ +æĶ¶ 缩 +çļĦ æĸĩåŃĹ +åĴĮ å°ļ +æĮĩ 令 +åħ±äº§ åħļåijĺ +çļĦ çĪ¶äº² +å®Į å·¥ +åĬ¡ å·¥ +马 æĭī +马æĭī æĿ¾ +æµĭ è¯Ħ +å² ļ +ä¸į åģļ +ä¸ĥ å¹´ +åĿĩ ä»· +主 è§Ĥ +å¾Ī ä¸įéĶĻ +èĤ¡ä¸ľ 大ä¼ļ +äºĶ ä¸Ģ +é£İ åIJ¹ +å¼Ģ éĩĩ +è¿Ļä¹Ī 大 +èĥ½ çľĭåĪ° +èĢĥ è¯Ħ +åį³ 便æĺ¯ +çݰ代 åĨľä¸ļ +æ¯Ķè¾ĥ é«ĺ +è¦ģ çľĭ +没 äºĨ +解 決 +çݯ æ¯Ķ +åĨ² åĬ¨ +æ·± å¤ľ +åĩł åįĥ +ä¿ ı +ç½ij æ°ij +å°± 没 +ä»ĸ 表示 +éĩı åŃIJ +æĹ©é¤IJ åĬłçĽŁ +åįĬ å²Ľ +æIJŀ ç¬ij +ä¸Ĭ æĬ¥ +å¯ © +é¢Ħ 订 +èľĤ èľľ +æŁ¥ æī¾ +ä¼Ĺ æīĢ +ä¼ĹæīĢ åij¨ +ä¼ĹæīĢåij¨ çŁ¥ +æĹ© æĹ¥ +åıij æī¬ +åĴĮ 个人 +åĬłåħ¥ äºĨ +åĸ® ä½į +åĪĨ æĺİ +第ä¸Ģ æī¹ +ç¾İ åĨĽ +æĿĢ æīĭ +éŨ å¤ĸ +åķĨ åľĪ +ä¸Ģ åĪ» +çļĦçľ¼ ç¥ŀ +éľ Ħ +äºĽ ä»Ģä¹Ī +åĬł æ·± +æ¯ı ä½į +å¸Ĥ éĿ¢ä¸Ĭ +åıĶ åıĶ +çļĦ éĤ£ç§į +粤 港澳 +è´´ å¿ĥ +æĸĩåĮĸ 产ä¸ļ +红 æĹĹ +åĺī åħ´ +æĶ¶ çĽĺ +å®ĮæĪIJ åIJİ +ä¼ģä¸ļ 管çIJĨ +纵 横 +ä¸į ä¿¡ +æĪIJ éĥ½å¸Ĥ +æ´Ĺ 澡 +举è¡Į çļĦ +çĶ¢ çĶŁ +ç©¿ ä¸Ĭ +åĪļ 好 +åħī 线 +æīĵ æŀ¶ +è¿Ļ æľ¬ä¹¦ +åĶ®åIJİ æľįåĬ¡ +åĩł åĪĨ +ä¸Ĭ 次 +ä¸į åĪĨ +产 åIJİ +éģ¿ å¼Ģ +ç»Ī æŀģ +代表 大ä¼ļ +æ¼Ķ æĬĢ +åĽŀ è´Ń +åѦ è´¹ +éĺ» ç¢į +ä¸Ģ大 æī¹ +ç«£ å·¥ +åĨ³ å®ļäºĨ +ä½Ĩ å¦Ĥæŀľ +çĶµ æµģ +ä¸Ŀ 毫 +èĥ½å¤Ł åľ¨ +éĶĢåĶ® æĶ¶åħ¥ +åľ¨ åŃ¦æł¡ +æ°´ åĩĨ +è§Ĩ 线 +èĩª åľ¨ +åķĨä¸ļ éĵ¶è¡Į +为äºĨ 让 +çį² å¾Ĺ +çݩ家 æľĭåıĭ +éĿ¢ èĨľ +åĪĨ åī² +åī§ æľ¬ +ç« Ń +说 å¾Ĺ +æĥ³ çŁ¥éģĵ +çļĦ人 çī© +èĮħ åı° +åIJĮ ä¸Ģ个 +æķ°æį® ä¸Ńå¿ĥ +çĶ Ħ +åĸľ æĤ¦ +ä¸ĭæĿ¥ çļĦ +å®ļ åIJij +æŀģ åħ· +çļĦ åľŁåľ° +éĤ£ åĢĭ +æijĦ åħ¥ +äºĨ æĪijçļĦ +马 è·¯ +åħ¨ 社ä¼ļ +è®® æ¡Ī +å±ĭ åŃIJ +åIJį åı« +åĮ ª +åľ¨ å¤ĸéĿ¢ +åįİ åįĹ +åıij è´§ +å¯Ĵ åĨ· +é«ĺçŃī æķĻèĤ² +详ç»Ĩ çļĦ +个 é¡¹çĽ® +çĶŁäº§ åĬĽ +æŶ 常 +å°± æľĥ +ä¸ĩ èĤ¡ +éĻĮçĶŁ 人 +æıı ç»ĺ +å½ĵ çĦ¶æĺ¯ +æĭī åĬ¨ +éĵ¾ æĿ¡ +æī£ éĻ¤ +ä¸Ģ缴 éĥ½ +å°ı åŃ©åŃIJ +伤 åı£ +第äºĮ å±Ĭ +è´Ń ç½® +çļĩ 马 +æĹł èģĬ +表 åĨ³ +诸 å¦Ĥ +åĵį èµ· +é£İ æļ´ +ä¸Ģæµģ çļĦ +ç ·¨ +解æĶ¾ åĨĽ +室 å¤ĸ +å°± è¿Ļä¹Ī +å³ ¶ +æīĢæľī 人éĥ½ +æIJľç´¢ å¼ķæĵİ +çļĦ æĪIJæľ¬ +åħļ æĶ¿ +åıijè¡Į 人 +çļĦ äºĭå®ŀ +对 该 +åıĹ æįŁ +ä¿Ħ ä¹Į +é²ľ èĬ± +åĨľ èį¯ +æŀģ éĢŁ +æĢ¥ æĢ§ +两 ä¼ļ +ä¸ĢèĪ¬ æĿ¥è¯´ +æµ· é²ľ +åĨ Ī +çĶ¨ 人 +çĶ¨äºº åįķä½į +åĢ ª +åĦª æĥł +æł¹ æºIJ +åĽ¢ è´Ń +ç¾İ æ´² +ä¸ĭ è¡Į +å¹´ æľ« +èľ ¡ +è¯ģ 件 +åľ¨ æĪijåĽ½ +ä¸į åºĶ +æĮī æŶ +åłª 称 +åľº ä¸Ĭ +å¹²éĥ¨ èģĮå·¥ +æľī å¾Ī大çļĦ +æķ°åŃĹ ç»ıæµİ +æ¼Ķ ç»ĥ +æį® ç»Łè®¡ +å¾Ģ æĿ¥ +广åijĬ æľįåĬ¡ +çļĦ è·Ŀ离 +æŃ ¸ +è¨Ģ è¯Ń +被 èªī +被èªī 为 +åĭī 强 +å°Ĭ æķ¬ +ä¸ĩ 亿åħĥ +ä¸ŃåĽ½ åĽ½éĻħ +å¹² é¢Ħ +å¹´ 产 +èĢķ åľ° +èĮ İ +åį³ æĺ¯ +æĺ¨ æĻļ +æĪIJ为 ä¸Ģ个 +çºł æŃ£ +åij½ åIJį +é¢ģ å¸ĥ +çĮľ æµĭ +ä¿ĿèŃ· æĶ¿çŃĸ +æĭ ¢ +æ´» æ³¼ +çŃī éĥ¨éŨ +åѦ åĪ° +å¢ŀåĢ¼ ç¨İ +èĪª 线 +åĨ ¤ +åįģ åĩłå¹´ +æݧèĤ¡ èĤ¡ä¸ľ +ä¸Ģ éŨ +个 å·¥ä½ľ +ä¸ªå·¥ä½ľ æĹ¥ +æĸ° 西 +æĸ°è¥¿ åħ° +论 è¯ģ +ä» Ĩ +åı¦å¤ĸ ä¸Ģ个 +æĶ¹ ç¼ĸ +严 ç¦ģ +åĸľ 好 +个人 ä¿¡æģ¯ +满æĦı 度 +åĵ ¨ +å¸Ī èµĦ +æĶ¹ 为 +ç«ŀäºī 对æīĭ +åĩº çĤī +åķĨ 人 +大 æ£ļ +æĮĩ导 ä¸ĭ +å¦ĩ ç§ij +è¼ ª +æī ģ +åIJĮæŶ è¿ĺ +并 éĢļè¿ĩ +æĪĺ éĺŁ +èĶĵ 延 +ä¿ ŀ +éĢĤå½ĵ çļĦ +åīį è¾Ī +åĵģ åij³ +湿 åľ° +æĪIJ åŀĭ +ä¸į åıªæĺ¯ +æĥ© ç½ļ +åĩºåı° äºĨ +çİ© 游æĪı +æīį åıijçİ° +åºĶ èģĺ +å¤ĸ æĿ¥ +åįł é¢Ĩ +å±ķ æľĽ +å« Ĥ +港 èĤ¡ +æ¡Į ä¸Ĭ +æĶ¯ æŁ± +çļĦæĥħ å½¢ +广éĺĶ çļĦ +æĶ¯ è¡Į +å´© æºĥ +æľĪ ä¸Ń +æľĪä¸Ń æŬ +ç»į åħ´ +临 è¿ij +æĬ¤ æłı +æļ ® +åįķ èģĮä¸ļ +è¾¹ å¢ĥ +æĹ¥ çħ§ +ä¸Ģ åłĨ +缴 å¾Ħ +åħ±åIJĮ ä½ĵ +æĸ°åįİ ç½ij +æīĵ 好 +çĶµåĬ¨ 汽车 +ä¸į æĺİçĻ½ +éĢĻ 裡 +缼 大 +çİĭ æľĿ +åĨį ä¸Ģ次 +åĬŀåħ¬ åİħ +è´¨ æĬ¼ +åIJĪ åĩ» +人们 对 +鼶 é£Ł +éĥ½ä¸į çŁ¥éģĵ +çļĦ è¯Ńè¨Ģ +åĭŁéĽĨ èµĦéĩij +åĬ¨ èĦī +å½ ¤ +è¿Ļ åĩłå¹´ +çŁŃ è§Ĩé¢ij +太 é«ĺ +常 å§Ķä¼ļ +åĬł çıŃ +éĩį å¿ĥ +åªĴä½ĵ æĬ¥éģĵ +没 æ³ķ +éĹ» åIJį +çĥŃ åº¦ +å¹¿æ³Ľ çļĦ +åħŃ å¤§ +çī© ä½ĵ +ä¸į 该 +é¢ĺ 主 +精彩 çļĦ +为 è¿Ľä¸ĢæŃ¥ +èĻ ŀ +åĽº çĦ¶ +è´µå·ŀ çľģ +çºł ç»ĵ +代çIJĨ 人 +æ³ķå®ļ 代表 +åı¦ä¸Ģ ç§į +ä¸į åIJ« +æĭ¯ æķij +ä¼ļ ç»Ļ +è¯Ĺ è¯į +åIJĮ ç±» +å¾Ĺ ä¸įåĪ° +æĬĵ ç´§ +以 åħ¶ +åħ¥ åħļ +è¿ĺ åı¯ +æľŁ åĪĬ +å¾Īå¤ļ æŶåĢĻ +æĹ¥ åIJİ +åħ¬ 约 +ä¸Ģ 举 +æ¯Ķè¾ĥ å¤ļ +éĩij æ²Ļ +æį ŀ +æİĴ åĩº +æѦ æľ¯ +ä¸į æĸ· +ä¸Ń èĢĥ +ä¿¡ èµĸ +ä»İä¸ļ 人åijĺ +çģ« çĦ° +éĨĴ æĿ¥ +ä½İ 温 +éĢ¾ æľŁ +åĬ± å¿Ĺ +éħ ¥ +åı¯è°ĵ æĺ¯ +è¿Ļ æĦıåij³çĿĢ +é¢ł è¦Ĩ +åĮĹ京 大åѦ +ä¸ĵ 线 +åıĬ 以ä¸Ĭ +è¨ ª +èĢĮ åIJİ +çŁ¥ ä¹İ +ä¸Ģ对 ä¸Ģ +å¨ĥ å¨ĥ +çģ¾ éļ¾ +åħ¨ å±Ģ +æīĢå¾Ĺ ç¨İ +å®ŀ æĥł +èļĤ èļģ +ä¹Ł çŁ¥éģĵ +温 åĴĮ +èIJ½ ä¸ĭ +åŀĭ ä¼ģä¸ļ +åĨį ä¹Ł +ä¾Ľ çĥŃ +é«ĺ æ½® +çĢı覽 åĻ¨ +çļĦ 巨大 +åħĪ 天 +å¹´ ä¸ŃåĽ½ +类似 çļĦ +çIJĨäºĭ ä¼ļ +空 éĸĵ +çģµ æĦŁ +åĬĽ æ°Ķ +带 ä¸Ĭ +ä¸į好 æĦıæĢĿ +æľī ä½ķ +å·² åľ¨ +åıĸ åĩº +è¿Ŀæ³ķ çĬ¯ç½ª +åŃ¦ä¹ł 贯彻 +åľ° 带 +楼 梯 +çŃī æĥħåĨµ +ä»İ åīį +çļĦ ä¹łæĥ¯ +ç³Ł ç³ķ +å°± èĥ½å¤Ł +è© ķ +ä¸Ģ å¾ĭ +æĮ« æĬĺ +åİŁæĸĩ åľ°åĿĢ +å½ĵ å±Ģ +ä¸į éĢļ +æķ° åįĥ +éĺŁä¼į 建设 +æŶ èĬĤ +åģļ èµ· +çļĦ è®°å¿Ĩ +ç½ij绾 å®īåħ¨ +åĩ¡ æĺ¯ +æ° ¯ +éĽķ åĪ» +åŁĥ åıĬ +æĪij åı¯ä»¥ +çĽij çIJĨ +æĽ´ åħ· +åŁİ 管 +èĭ ¯ +åı¥ åŃIJ +èĭ¥ æľī +ä»İæĿ¥ ä¸į +缸åħ³ è´Łè´£ +å®īåħ¨ æĦŁ +æĽ´ è¦ģ +çļĦæĥħ æĦŁ +çī¢ çī¢ +è¾ĥ 好çļĦ +æ° ® +ç¬ij è¯Ŀ +车 å±ķ +ä¹ĭ ç¾İ +ç®Ģ 约 +ç±»åŀĭ çļĦ +èĢģ åĮĸ +çľĭ ä½ł +è¿ĩ åĪĨ +éŨ åīį +ä¸Ģ éĹ´ +æĥ³ åİ» +åª Ľ +åľŁ è±Ĩ +åıĪ 称 +ä¸Ń ä¿¡ +åŃĺ éĩı +马 äºij +èĩ´ 使 +åħĪ åīį +èĢģ åŃIJ +æīĵ æī® +æ¯ķä¸ļ äºİ +æ¯ķä¸ļ åIJİ +ç¾İ好 çĶŁæ´» +å·¥ä¸ļ ä¼ģä¸ļ +就好 äºĨ +èħIJ èļĢ +çıį çıł +åĪ° è¿ĻéĩĮ +æīĢéľĢ çļĦ +è¿Ļæĺ¯ åĽłä¸º +çIJĨæĥ³ çļĦ +å·®å¼Ĥ åĮĸ +é ® +é® ® +äºļ 太 +æĹł ç©· +æıIJ çİ° +ä¸ĵä¸ļ æĬĢæľ¯ +çĶ¢ æ¥Ń +åѦ åŃIJ +ç§ij å¹» +åįłåľ° éĿ¢ç§¯ +ä¸į åĩĨ +æľªæĪIJ 年人 +æĶ¶ å½ķ +è¿ĺ 款 +éĴ¢ çŃĭ +æ¼ ¢ +å¾Ĺ æĦı +综åIJĪ ä½ĵ +æŀģ é«ĺ +åįķ è¯į +é«ĺæķĪ çļĦ +骨 头 +æī§ çĿĢ +缼 ä¸ĸ +模 çī¹ +æĽ´ èĥ½ +ç»Ŀ æľĽ +对åºĶ çļĦ +æ¨ Ĭ +æĸ° ä¸ī +æĸ°ä¸ī æĿ¿ +æģ° æģ° +åIJį 家 +æł¸å¿ĥ æĬĢæľ¯ +个 å°ı +æĢİä¹Ī ä¼ļ +说 ä¸įå®ļ +西 çĵľ +åĵ İ +ç¢ Ł +å¿ħ ä¸įåı¯ +å¿ħä¸įåı¯ å°ij +ä¹ĭ éĸĵ +åĪĨ 管 +交éĢļ äºĭæķħ +å¼Ģ åĬŀ +å¾ģæ±Ĥ æĦıè§ģ +äº ¨ +鼻åŃIJ éĥµ +鼻åŃIJéĥµ 件 +ä¿¡æģ¯ æľįåĬ¡ +ä½ł è§īå¾Ĺ +缴 è§Ĥ +å·² å®ĮæĪIJ +åĪĨ ä¼ļ +åĽŀ åįĩ +éļ » +好 人 +äºĨ解 ä¸Ģä¸ĭ +åį« æµ´ +æľĢ çĪ± +åºŀ 大 +客 æĪ¿ +çijŀ åħ¸ +éĥ½ ä¸įæĺ¯ +é¤ ¨ +èĹ ī +çļĦ åIJĦ项 +为 缮æłĩ +çļĦ è®¤çŁ¥ +å½±åĵįåĬĽ çļĦ +夸 å¼ł +佩 æĪ´ +æ±ĩ çİĩ +çļĦ çĪ±æĥħ +æĺ¥ é£İ +æĺ¯ æĪijçļĦ +æ¨ ¹ +åįĬ å°ıæŶ +å±± åİ¿ +å±± 西çľģ +èĢĮ è¿Ļ +æĽ´å¤ļ ä¿¡æģ¯ +è¿ĺ æľīä¸ĢäºĽ +ç²¾ ç»ĨåĮĸ +ç¾İ åѦ +çĶ± æĸ¼ +ä»ħä¾Ľ åıĤèĢĥ +å¾Ī é«ĺçļĦ +åıł åĬł +è¿Ļä¹Ī 说 +å±ķ åĩº +åĽĽ å¤Ħ +ä¸ĩ 家 +æĭĽ åĭŁ +çļĦ 强大 +æĤ£ æľī +å°ı äºİ +ä¹Łè®¸ æĺ¯ +对 èĩªå·±çļĦ +èģĮä¸ļ æķĻèĤ² +æĿ¥ è¿Ľè¡Į +æ¡£ 次 +æīĵ èµ¢ +éĥ½æľī çĿĢ +åº ¸ +è¯Ń æ°Ķ +çĶ² éĨĽ +空 åĨĽ +车 åĨħ +åĽłä¸º ä½ł +å®ŀ æķĪ +æĥħ ä¾£ +åıijè¾¾ åĽ½å®¶ +éķľ åŃIJ +æ¯į å©´ +ä½Ĩæĺ¯ ä»ĸ +积æŀģ æİ¨è¿Ľ +大å¹ħ 度 +çļĦ 女åĦ¿ +é¤IJ æ¡Į +åIJ¬ å¾Ĺ +çļĦ 积æŀģæĢ§ +好 åIJ§ +æĹ¥ æ¶Īæģ¯ +æľī ä»»ä½ķ +æ¯Ĵ åĵģ +æĹ©çĤ¹ åĬłçĽŁ +第ä¸Ģ 天 +å°½ åĬĽ +æł ĸ +主 æīĵ +æĺ¯ä¸Ģ åIJį +çĪĨ æĸĻ +äºĭä¸ļ åıijå±ķ +å¾® åķĨ +äºİä¸Ģä½ĵ çļĦ +çĶŁ çĮª +èĩªçĦ¶ èµĦæºIJ +çŀĦ åĩĨ +è§Ħ模 åĮĸ +并 ä¸İ +èĤ¥ èĥĸ +家 çĶ¨ +大 çĪ· +é¢Ħ åijĬ +æĿ¥ åģļ +éĺ³ åİ¿ +æŀĦ çŃij +é¢ģ å¥ĸ +åİĨåı² æĸĩåĮĸ +æľįåĭĻ æĪĸ +æĢ» åĨ³èµĽ +åıij åŀĭ +æĪij 羣çļĦ +æĽ ¦ +åıĤ ä¼ļ +èĦĨ å¼± +åĩĨ åħ¥ +èħ¹ éĥ¨ +åı¸ 令 +æĤ² åī§ +天 ä¸Ĭ +åı£ ä¸Ń +ä¸ĩ 个 +åѦ ä¸ļ +æıIJ åĢ¡ +两 è¾¹ +大 èĤ¡ä¸ľ +åı¤ éķĩ +è¡Ģ ç³ĸ +çļĦ ç¨ĭ度 +æ£ī èĬ± +åIJİ åı° +å°± åĮ» +æķ´ æķ´ +èĴ ² +çĽĪåĪ© èĥ½åĬĽ +ç± ½ +èĦ « +çľĭ éĩį +家 éķ· +èģĺ çĶ¨ +èµĽ éģĵ +åīį èĢħ +建 èŃ° +å¾ĭå¸Ī äºĭåĬ¡ +èīºæľ¯ åĵģ +æľī èĩªå·±çļĦ +åIJ¦ å®ļ +社 åĽ¢ +åij¨ äºĶ +带 åĪ° +å·¥ä½ľ ä¼ļè®® +èĤ¡ æľ¬ +å¤ĸ åĮħ +家 åħ¬åı¸ +çĽij çĭ± +èĪ Ĭ +åIJį æł¡ +西 æ¹ĸ +è¶ħè¿ĩ äºĨ +åįĹ å±± +ç»Ħ 件 +åĢ¼å¾Ĺ 注æĦı +æĮ£ æīİ +äºĭ 迹 +ç¶ĵ çĩŁ +ç§ij 室 +好 åIJĹ +æ¤ħ åŃIJ +åľĪ åŃIJ +ä½Ĩ 她 +æµģ çķħ +åIJĦèĩª çļĦ +èģĮ åijĺ +è¡į çĶŁ +åħ¨ åľº +æĴ¤ éĶĢ +åį´ 被 +å®ģ éĿĻ +åīį æīĢ +åīįæīĢ æľª +åīįæīĢæľª æľī +主 ä¸ļ +åĮĹ ç¾İ +è¯Ħ å®ļ +åĵģ å°Ŀ +大家 éĥ½åľ¨ +主 å¸ħ +ç»Ĩ å¿ĥ +ä¿¡æģ¯ æĬ«éľ² +çļĦ ç«ŀäºī +éĢĻ樣 çļĦ +ç§ijåĪĽ æĿ¿ +éĩĩ æijĺ +票 æį® +éĢIJ å¹´ +èĭ± è¶ħ +è¡Įä¸ļ åĨħ +人 寿 +åIJİ åĭ¤ +å¦Ĥ æĦı +ç¬Ķ è¯ķ +æ·¡æ·¡ çļĦ +ä¸į èĪĴæľį +ä½ĵ 积 +ä¹Łä¸į è¦ģ +éĿ¢ æĸĻ +æł· æľ¬ +ç¥ ģ +æĮī è§Ħå®ļ +大æ¦Ĥ æĺ¯ +æĥħåĨµ è¿Ľè¡Į +åIJĦ åįķä½į +çļĦ ç¬ij容 +åĩºèī² çļĦ +代表 æĢ§ +çļĦ ç¾İ好 +éĴ ¦ +å¾® çĶŁçī© +è¶Ĭ æĺ¯ +æĸ¹ åı¯ +å¹² èĦĨ +éģĬ æĪ² +çļĦ åħ´è¶£ +éĹ® è´£ +åĽłä¸º æĪij们 +èĢĥ éĩı +çĶŁ çĶŁ +éĺ» åĬĽ +ä¸į åħģ许 +æıIJ è®® +åĩı æĮģ +åıªæĺ¯ ä¸Ģ个 +æĪij æĬĬ +åıijçİ° èĩªå·± +å¢ŀ å¹ħ +å¦ į +èĹĿ è¡ĵ +ä¸Ģ家 人 +åĪĨ 级 +çļĦ æķ°éĩı +è½® èŀįèµĦ +çŃī åĽłç´ł +大 夫 +èģĺ 请 +é£İ æľº +绽 æĶ¾ +ä»»ä½ķ ä¸Ģ个 +éł Ĥ +éĺ¶ çº§ +æĬĬ 她 +è¿Ľ åĨĽ +èĥ½ åģļåĪ° +åŁ¹è®Ń æľºæŀĦ +çī© æĸĻ +ç«¥ è¯Ŀ +æĮĩ导 æĦıè§ģ +éĺ ® +æ·±åħ¥ æİ¨è¿Ľ +主 æľº +æ¸Ķ ä¸ļ +ä¸į æľį +æµĵ éĥģ +è¡Ĺ ä¸Ĭ +ä¾Ŀ 次 +æŶ 段 +æ¢ µ +çļĦ åĸľçĪ± +å¾Ī éķ¿ +åĪĿ 级 +æŀľ æĸŃ +æĬ¢ æķij +é¼ĵ èĪŀ +ä¾Ľ éľĢ +æ·±åħ¥ å¼Ģå±ķ +产ä¸ļ éĽĨ群 +åĻª éŁ³ +åIJ¬ çĿĢ +æ·±åĪ» çļĦ +å¿į åıĹ +çĶµ ç£ģ +强 èĢħ +æ»ĭ åij³ +æĽ¼ èģĶ +åı¯ä»¥ 缴æİ¥ +大 ç±³ +æŃ· åı² +æĶ¿åĬ¡ æľįåĬ¡ +åħ¬ å¼ı +社 群 +éģĵ士 èģĮä¸ļ +ä¹ĭ æĥħ +æµ· æ°´ +æ¼Ķ å¥ı +åºĹ éĩĮ +迹 象 +åıijå±ķ çIJĨ念 +é«ĺ 空 +åij¨ åĪĬ +åĽŀ åĪ°äºĨ +ä¸į éĢĤåIJĪ +åłµ å¡ŀ +åĬ Ī +æ°´ ä¸Ĭ +çĢij å¸ĥ +纳ç¨İ 人 +çĩĥ æ²¹ +å·¥ç¨ĭ é¡¹çĽ® +峡 è°· +æľī éĴĪ对æĢ§ +åľĨ å½¢ +æľ¬ å¸Ĥ +è¿Ļ è¯Ŀ +管çIJĨ èĢħ +ç¡®è¯Ĭ çĹħä¾ĭ +æĬĬ æīĭ +彩 èī² +ä¸Ĭ åīį +夯 å®ŀ +ç¾Ĭ èĤī +å¾Ģ å¹´ +æĵħ èĩª +è¿· 人 +èĪª æ¯į +ç²¾ ç»Ĩ +åľ¨ æĪijçļĦ +åĪĽ æĬķ +麦 åħĭ +æľĪ ç»ı +åĮĹ æµ· +ä¹ĭ æĺŁ +åı¶ åŃIJ +å¸Ĥåľº ç«ŀäºī +è¿Ļ äºĭ +åıĥ èĪĩ +产 åľ° +åĶ ī +åķĨåĵģ æĪ¿ +èĪª è¿IJ +ä¼ĺ å¼Ĥ +ä»ĸ们 æĺ¯ +鼨 æ°´ +è¯į æ±ĩ +åĨľ çĶ° +欧 éĺ³ +çŁŃ 线 +管 ç½ij +æł¹ åŁº +åıªæľī ä¸Ģ个 +éŀĭ åŃIJ +å¸Ĥ å§Ķ书记 +åĪ» æĦı +è¡Į 车 +åıĪ 被 +åı¯éĿł æĢ§ +è´ ± +ä»» åij½ +åºĶ åľ¨ +å°± å¾Ĺ +æľįåĬ¡ ä½ĵç³» +æĶ¿ æĿĥ +åıijè¨Ģ 人 +è¿ĩ å¾Ģ +两 åıª +èĻ½ 说 +éĢģ ä¸Ĭ +ä»Ģä¹Ī äºĭ +æķ£ æĸĩ +æİĮ æݧ +èĸĦ å¼± +ä¸ĭéĿ¢ å°± +主è¦ģ åĨħ容 +å¾Ī éĩįè¦ģçļĦ +å°± 说 +çĻ½èī² çļĦ +éĤ£ä¸ª æŶåĢĻ +ç»ı纪 人 +çļĦ æ¯į亲 +ç¬Ķè®° æľ¬ +åºķ å±Ĥ +è¿ij 代 +解 说 +è²ł 責 +æľĢ大 åĮĸ +åķĨ éĵº +æł¡ åıĭ +æ² ģ +ä¸į åĩºæĿ¥ +éĻ· éĺ± +ç¨ ħ +åħ¬å¸ĥ äºĨ +åĩĢ åĢ¼ +çĽ¸å¯¹ è¾ĥ +ç¬ Ľ +æł¸ ç®Ĺ +åįİ ä¾¨ +æĢ¥ æķij +æĮº 好 +åħĴ ç«¥ +äºĮ èĥİ +åĩº èĩª +åĿ Ł +æīĭ ä¸ĭ +å± ¡ +åĪĽéĢł æĢ§ +ä¸¥æł¼ æĮīçħ§ +åĨį åİ» +举 缣 +人 æµģ +äºĨä¸Ģ 声 +å°ıæŶ åīį +è´µ æĹı +éľ ĸ +ä¹Łæĺ¯ éĿŀ常 +éĢ ± +çľĭäºĨ çľĭ +ç¹ģ æ®ĸ +èĩ³ æѤ +é¢Ħ å¤ĩ +å¾Ī æĺİæĺ¾ +æ¼Ķ èīº +åĿIJ çĿĢ +ä¿Ħ åĨĽ +åľ¨ è¿ĩåİ» +ä¹ĭ äºĭ +æĬĵ èİ· +åĿIJ ä¸ĭ +çĶ± ä¸ŃåĽ½ +ä¹Ł å¼Ģå§ĭ +çŃĶ å¤į +åŀĥåľ¾ åĪĨç±» +éĴĵ é±¼ +åIJĦ 種 +缸 éģĩ +ä¸įåģľ çļĦ +æī¹ éĩı +éĩįè¦ģ ä½ľçĶ¨ +å§Ķ å±Ī +åħŃ å¹´ +ä¸ĥ åįģ +ä¹ĭ æĪĺ +é£İéĻ© 管çIJĨ +éŁ³ æ¨Ĥ +è¡ĮæĶ¿ å¤Ħç½ļ +æľ¬ äºĭ +æĴ° åĨĻ +èģļ åIJĪ +éĢĤ æŶ +æIJ¬ 家 +ç¢İ çīĩ +缼 å®´ +ç®Ģ æ´ģ +åı¬ éĽĨ +ç®Ģ åĮĸ +åĮĹ京 æŶéĹ´ +第ä¸ī å±Ĭ +æĿ¥ åĽŀ +常çĶ¨ çļĦ +京 æ´¥ +京津 åĨĢ +梦 å¹» +è¯ķ è¡Į +æľº åºĬ +åĪ° æľĢåIJİ +åĬ© æīĭ +åĪĨ 彩 +åĩº åĵģ +åĪ¹ 车 +åIJ¯ åıij +侧 éĿ¢ +æ¯ı å½ĵ +缸åħ³ è§Ħå®ļ +ä¸ĸ 人 +è´Ń 车 +å¿ĥ 缮 +å¿ĥ缮 ä¸Ń +äºĶ éĩij +è¿ĺ è®°å¾Ĺ +ä¾Ŀ çĦ¶æĺ¯ +æıIJ æ¡Ī +çĶµåķĨ å¹³åı° +åģļ åĪ°äºĨ +æĿľ ç»Ŀ +å®ī åįĵ +ä¸ĸçķĮ åIJĦåľ° +åīį éĢĶ +æ´Ĺ åĩĢ +å¥ĭ åĬĽ +åŁİå¸Ĥ 建设 +å¤ļ åĬŁèĥ½ +ä¼ļ éĢłæĪIJ +åıijå¸ĥ ä¼ļä¸Ĭ +究 ç«Łæĺ¯ +åĪĨ 红 +çŁ¥ èŃĺ +éĿ¢ æĿ¿ +æĹł 声 +æĢ¥ éľĢ +失 çľł +çĪ¸ å¦Ī +äº Ĥ +åħ¨ æĻ¯ +ç»ıåħ¸ çļĦ +åī§ ä¸Ń +é¢Ĩ导 ä¸ĭ +åħļ åĨħ +åħ¥ ä¾µ +æĭī æĸ¯ +ä¸Ģ å¹ķ +åĬł ä¹ĭ +èĤ Ĩ +èĭ± æł¼ +èĭ±æł¼ åħ° +å·§ åħĭ +å·§åħĭ åĬĽ +ä¸Ģ å¿ĥ +èģ Ĥ +å¾Ģå¾Ģ æĺ¯ +管çIJĨ å±Ĥ +çĻ» åħ¥ +建ç«ĭ èµ· +建 åĽ½ +åŃIJ 宫 +åºĶ ä»ĺ +æİ¢ 究 +第ä¸Ģ ä½į +ä½Ļ 家 +çŃī æ´»åĬ¨ +æīĢ èĩ´ +è¾ĥ å¿« +æĺ¯ éĿŀ +æıIJ åIJį +äºĮ èĢħ +åıªåī© ä¸ĭ +åħ¶ä¸Ń åĮħæĭ¬ +ç¼ĸ ç¨ĭ +çł´ ç¢İ +ä¸Ń 举 +å·¥ä½ľ æĬ¥åijĬ +çŃ¾ åIJį +éħĴ ä¸ļ +çŁ¥ æĻĵ +çĥŃ å¿ĥ +éĿŀ åĩ¡ +èIJ¥ä¸ļ æī§ +èIJ¥ä¸ļæī§ çħ§ +人大 代表 +ä¸Ģ个 æĸ°çļĦ +å¨ģ æµ· +éĤ£ 人 +涨 ä»· +æ¶Ī çģŃ +éļ¾ å¿ĺ +ç¶ĵ é©Ĺ +åı£ è¢ĭ +ç³» æķ° +æĸĩ ä¸Ń +好 转 +æĸ° 鼶åĶ® +讲述 äºĨ +å¼Ģ çĽĺ +çķĻ ç»Ļ +æħ¢æħ¢ çļĦ +æĤ² 伤 +æľ¬ æľŁ +äºĨ å¤ļå°ij +è¿Ļ 让 +åIJĮ çŃī +æ¸ħ æĺİ +个 åŁİå¸Ĥ +æºĸ åĤĻ +åĩłä¹İ æĺ¯ +强 åĬĽ +ä¿ ¯ +æ°´ 稻 +åĽºå®ļ çļĦ +æł¸ åĩĨ +说 æľį +顯 示 +è¿Ļ å¥Ĺ +æĻºæħ§ åŁİå¸Ĥ +å±ĭ 顶 +ä¸į æĿ¥ +çĶŁ é²ľ +çŁ¥ æĥħ +æĬķ 身 +åijĬè¯ī æĪij们 +ä¸ī åĽĽ +ä¸ĩ ä¸Ģ +è¾Ĩ 车 +为 ä¹ĭ +åĪ° æŶåĢĻ +è¿Ļ æīįæĺ¯ +åIJį çīĮ +åºŁ æ°´ +åݻ年 åIJĮæľŁ +å¹´ éĻIJ +éģĭ åĭķ +åıĮ çľ¼ +è¦ģ ç´§ +对 çŃĸ +åľº é¦Ĩ +çĻ¾ ç§ij +è¶Ĭ éĩİ +å¯Į åIJ« +大å¤ļæķ° 人 +æľĢ å°ij +åı¬ åĶ¤ +åħ¸ èĮĥ +åĨľ æľº +æŃ£ æĸĩ +åºĶçĶ¨ äºİ +æ·± èĢķ +ä¿ Ń +ä»Ģä¹Ī ä¸ľè¥¿ +å¥Ĺ é¤IJ +å½ĵ éĢī +å·¦ æīĭ +è°ĥ çIJĨ +æĻļ é¤IJ +éļ¾ åħ³ +åĩŃ è¯ģ +çĪ± 人 +æĮĩ è´£ +è´£ ç¼ĸ +çļĦä¸Ģ 款 +éĵ ² +åįģ 个 +èĢ » +æľįåĬ¡ åķĨ +åľ° çĭ± +è¿ŀ å¿Ļ +åĽ° æĥij +çļ ĵ +ä¸į åIJĥ +çİ°åľ¨ å·²ç»ı +çĽĺ çĤ¹ +ä¸įåģľ åľ° +管çIJĨ 模å¼ı +è¿Ļ 段æŶéĹ´ +æ¤ ° +礼 åĮħ +æµģ 转 +æī« çłģ +éĽĨä¸Ń åľ¨ +æ±Ĥ åĬ© +åįĬ 个 +å¿«éĢŁ å¢ŀéķ¿ +å¾Ģ ä¸ĭ +è¯Ħ åĪĨ +å°± æĥ³ +åķĨåĬ¡ éĥ¨ +æľī éĹ®é¢ĺ +èİ· åĪ© +æ¯Ľ çĹħ +æĦŁ åºĶ +èī¯ æĢ§ +åĪĨ æѧ +åĨ ī +æĪij们 çİ°åľ¨ +è¦ģ åĬłå¼º +å·§ å¦Ļ +èŀº æĹĭ +åĪĩ æį¢ +çĭ Ħ +顺 çķħ +å°¤åħ¶ æĺ¯åľ¨ +èĬĿ 麻 +éļ¾ è¿ĩ +æĹĹ å¸ľ +å¤į åį° +å¤įåį° 件 +å¿ħ éľĢ +对å¤ĸ å¼ĢæĶ¾ +éļ¾ åıĹ +åİŁæĿ¥ æĺ¯ +ç®Ĺ äºĨ +é«ĺ å±± +离 èģĮ +çµĦ ç¹ +çµĦç¹ Ķ +å±ģ èĤ¡ +çĻ¾ 家 +éģĩ ä¸Ĭ +æĺĶ æĹ¥ +ä¸į 容 +çĽij管 éĥ¨éŨ +主 æĦı +æµģ åŁŁ +è·Į å¹ħ +èĩ³ ä¸Ĭ +åĪ« 说 +æĺ¯ æ¯Ķè¾ĥ +å®ıè§Ĥ ç»ıæµİ +å¸Ĥåľº 主ä½ĵ +污æŁĵ çī© +æķij æ²» +丰 æĶ¶ +åŃĺ æĶ¾ +åĩ Ħ +éĩij å±± +æį¢ äºĨ +ä¸ĵ 人 +éĹľ æĸ¼ +æĹ¢ è¦ģ +åĽ½ 足 +éļ ĭ +åıį åĩ» +èµ· 身 +åħĪ æĺ¯ +å¸ĮæľĽ èĥ½å¤Ł +åĪ¶ 订 +åºĹ éĿ¢ +åĸ Ģ +æķĻ ä½ł +éĻį 温 +åĬĽ æ±Ĥ +ä¸ī çĻ¾ +çī© ä»· +丢 失 +å¢Ļ ä¸Ĭ +éĥ¨ 份 +æł· æĿ¿ +ä¹ĭ æĦı +ç½ij å°ıç¼ĸ +ä¸ĸ ä¸Ĭ +è°ĥ è¯ķ +污æŁĵ éĺ²æ²» +å½± éĻ¢ +å®Įåħ¨ åı¯ä»¥ +éĢļ åħ³ +ä¹īåĬ¡ æķĻèĤ² +没æľī åĬŀæ³ķ +èĢ ¿ +å¦ ³ +æĹł æĥħ +å¾Ĺ çĽĬ +å¾ĹçĽĬ äºİ +æľŁ çĽ¼ +娱ä¹IJ åľº +çĶ² æĸ¹ +ä¸Ģ æ±½ +çĹ ° +çĸij ä¼¼ +æĸ°æµª å¾®åįļ +强 è¡Į +å½ĵ ä»ĸ +èĥ º +çĶ¨æĪ· æıIJä¾Ľ +åĮº å§Ķ +æĦ¿ æĻ¯ +æĬĺ æī£ +失 踪 +è¿« åĪĩ +åŃĹ æ¯į +åĴ ¯ +èªį èŃĺ +ä»Ģä¹Ī æĦıæĢĿ +çĽĴ åŃIJ +å½ķ éŁ³ +建设 å·¥ç¨ĭ +ä¸ļ ä½Ļ +å®ŀè·µ æ´»åĬ¨ +羣 空 +çĤ ĸ +åľ¨ è·¯ä¸Ĭ +主è¦ģ åĮħæĭ¬ +该 æĢİä¹Ī +æĢ» æľī +æĢ§ æĦŁ +æ°ij èĪª +å¼Ģ åºĹ +欺 éªĹ +çªģ åĩ» +缺 失 +æī§ ä¸ļ +åľ° éģĵ +并 æĹł +æ°ij åĬŀ +ç»Ħç»ĩ çĶŁæ´» +æĪij å¦Ī +è¨ĺ èĢħ +管 åĪ¶ +æī¾ 个 +èĹ » +çĤİ çĹĩ +äºĴ åĬ© +æµıè§Ī åĻ¨ +çݩ家 æĿ¥è¯´ +éĻįä½İ äºĨ +è£ Ķ +æĮ£ éĴ± +åķĨ æľº +æĶ¹ è£ħ +æµģ 浪 +æĶ¿ æ³ķ +èĢģ 头 +çĶŁäº§ åĴĮ +ç© Ĺ +亲 çĪ± +亲çĪ± çļĦ +å±¥ èģĮ +åŁİ éĩĮ +ç»Ĩ åĪĨ +åĬ³åĬ¨ åIJĪåIJĮ +åľ¨ æĹ¥æľ¬ +å¨ģ å°Ķ +åį« è§Ĩ +éĢ£ çµIJ +çĿĢ éĩį +æĬĺ 磨 +åĽ¾ 为 +çľ · +å·¥ åºı +æĵ ģ +æĵģ æľī +ç½ijç«Ļ åľ°åĽ¾ +çļĦä¸Ģ 大 +ç»Ħç»ĩ å®ŀæĸ½ +æĬĽ å¼ĥ +åĴĮ æĶ¯æĮģ +æ³ķ åĪĻ +浪 æ½® +çİ° æľīçļĦ +åĩł çİĩ +为 客æĪ· +åįģ ä¸ĩ +è ¹Ħ +çªģåĩº éĹ®é¢ĺ +åıĥ åĬł +éĥ½ä¼ļ æľī +çĽ ¤ +è°ģ éĥ½ +æīĭ åĬ¨ +缴 è¾¾ +çĤ¹ å¤ļ +éĺ¶ å±Ĥ +ä¸į ä½³ +éĤ£ 段 +滨 æµ· +æĺ¯ åĽ½åĨħ +æĪij å¸ĮæľĽ +åIJĽ åŃIJ +è§Ĥ éŁ³ +åģļ é¥Ń +æ±½ è»Ĭ +åħ³ ç¨İ +çľ¼åīį çļĦ +æ°´ éĿ¢ +èĢ³ æľº +追 踪 +æݨ éĢģ +éĴ± åĮħ +æģ¶ å¿ĥ +æµ· åŁŁ +å· į +å¼Ģ æĿ¥ +表 æĢģ +仪 表 +å¹³ åİŁ +åįģ å¤ļå¹´ +ä¹Ł æĹłæ³ķ +åħ¼ 顾 +è¡£ æŁľ +æł½ åŁ¹ +æĪ¿ æºIJ +设ç«ĭ äºĨ +ä¸ĩ åIJį +æķ° é¢Ŀ +è¦ģ åĿļæĮģ +åIJīæŀĹ çľģ +请 èģĶç³» +ç»ıåİĨ è¿ĩ +çļĦ æľ¬è´¨ +åħ¥ éŨ +æľ¬ æ¡Ī +çİĩ è¾¾åĪ° +åı° éĺ¶ +éĴ ŀ +æĪij èĥ½ +èݲ èĬ± +éĴ ł +ä¸Ģ äºĭ +åİŁ æľīçļĦ +æ¯ı åĢĭ +æ¯Ķäºļ 迪 +æ£ĭçīĮ 游æĪı +ä¸įä¼ļ æľī +å½Ĵ æĿ¥ +äºĶ çĻ¾ +è¿ĩ é«ĺ +鼷 è¾¾ +ä¸Ģèµ· åİ» +æķĻ 导 +å°± è¯Ĭ +å°± å¾Ī +ä¸įåIJĮ äºİ +ä¿ º +å¸ĸ åŃIJ +æĶ¿åįı å§Ķåijĺ +çĸ«æĥħ å½±åĵį +åĪĨ è£Ĥ +为ä»Ģä¹Ī ä¼ļ +äºĶ æĺŁ +å°ij åĦ¿ +æĬ¢ éĻ© +梦 è§ģ +è®°èĢħ éĩĩ访 +å±± è·¯ +æĪij 个人 +æ²Ļ 滩 +è¹ Ń +æĶ¹ è®Ĭ +æĸ°åŀĭ åĨł +æĸ°åŀĭåĨł çĬ¶ +åĮ» æĬ¤ +åĮ»æĬ¤ 人åijĺ +æµ· å°Ķ +åħ³äºİ æĪij们 +éĻ¤ å¤ĸ +åº ļ +宣 åijĬ +ä¸ī åįĥ +æ¦ ¨ +ç§ijæĬĢ 大åѦ +ä¸ĥ åħ« +顺 åºĶ +çĪ¸çĪ¸ å¦Īå¦Ī +éĢī åıĸ +åī§ çĥĪ +乡æĿij æĹħ游 +积æŀģ æݢ索 +表çİ° 为 +å¾Ī æ¸ħæ¥ļ +大 åĨĽ +æĿ¥ çĶµ +å¥Ĺ æĪ¿ +çİ° è¡Į +享 åıĹåĪ° +çľĭ çĤ¹ +åĽºå®ļ èµĦ产 +以 人为 +以人为 æľ¬ +ä¸į å®Į +éĻį 鼨 +åģļçļĦ äºĭæĥħ +并 äºİ +顽 强 +èĢ ¸ +åĺ´ å·´ +缸åħ³ ä¿¡æģ¯ +æĪij 没 +æĪĺçķ¥ æĢ§ +æĢĿ 念 +åĪĺ å¤ĩ +åĬ© æĶ» +é£İ è²Į +éĿ¢å¯¹ éĿ¢ +积æŀģ å¼Ģå±ķ +çĸĹ æķĪ +çľĭ 书 +缺 åı£ +åĽ½æ°ij ç»ıæµİ +使çĶ¨ æĿĥ +éģ¥ è¿ľ +å¡« è¡¥ +第ä¸ī 人 +åįĬ å¤ľ +æѦæ±ī å¸Ĥ +æĪij åıijçİ° +ä¼ĺæĥł æĶ¿çŃĸ +é£İ åı£ +å°± ä¸įèĥ½ +为 主è¦ģ +æµģ åĩº +å´ĩ æĭľ +并 ä¸įèĥ½ +é«ĺ ä¸ī +ä¸ĸçķĮä¸Ĭ æľĢ +æĥ³ å¿ħ +åħ¶ æīĢ +åĢĻ éĢī +åĢĻéĢī 人 +ä¸į çĪ± +åī¯ ä½ľçĶ¨ +人æ°ij æĹ¥æĬ¥ +æĪij ä¸įæĺ¯ +å®ŀ çī© +çĶµ åİĤ +ä¹Ł ç®Ĺæĺ¯ +æľī éĹľ +æľī èĥ½åĬĽ +æĮĤ åľ¨ +çľ¼ ä¸ĭ +约 ç¿° +å°ı åѦçĶŁ +èµ· åĪ°äºĨ +å·¥ 夫 +åIJĮ å¿ĥ +åĿ¦ è¨Ģ +çł Į +åıijæĮ¥ äºĨ +èģĮä¸ļ éģĵå¾· +è¿ĻäºĽ å¹´ +念 头 +èĢģ é¼ł +åħ¨ èµĦ +åħ¨èµĦ åŃIJ +ä¸Ģ åij³ +å¤ļ ä¸ĩåħĥ +æł¼ æľĥ +éķ¿ éĢĶ +带 èµ° +èĭ± 寸 +æĸĩ ä½ĵ +对 ä»ĸ们 +åĵŃ äºĨ +å¡« æĬ¥ +çīĪæĿĥ 声æĺİ +çĶµ 线 +è´Ńçī© ä¸Ńå¿ĥ +饱 满 +ä½İ 头 +强 è¿« +ä¿Ŀ æ´ģ +欧 åĨł +缸 è¿ŀ +认 è´Ń +çģ« æĺŁ +é«ĺ å°Ķ +é«ĺå°Ķ 夫 +èij« èĬ¦ +æłĩ 注 +çļĦ çIJĨæĥ³ +æł¸ éħ¸ +æł¸éħ¸ æ£Ģæµĭ +åĬ ī +ä¸ĢèĪ¬ æĺ¯ +æĢĿ ç´¢ +轨 迹 +çĥŃ å¸¦ +éĻ £ +åĩĨç¡® æĢ§ +æĪ´ çĿĢ +åľ¨ çĶŁæ´»ä¸Ń +æīĢ èĥ½ +æľ¯ åIJİ +带 ä½ł +ç¥ ł +æ®ĭ éħ· +ä¹Ł åıªæĺ¯ +çĶ³ è´Ń +举åĬŀ äºĨ +æľī æĦıä¹ī +æĹº 缼 +åľ¨ 網 +åľ¨ç¶² è·¯ä¸Ĭ +å¾Ī大 ç¨ĭ度 +管 è¾ĸ +çĸ«æĥħ æľŁéĹ´ +触 æij¸ +éĺ¶æ®µ æĢ§ +ä¼ļ è§īå¾Ĺ +çļĦ çĶ»éĿ¢ +æİ¥åıĹ äºĨ +表达 äºĨ +éĤĵ å°ı +éĤĵå°ı å¹³ +åħļ é£İ +åħļé£İ å»īæĶ¿ +åķĨ åѦéĻ¢ +åħij æį¢ +é£Łåĵģ èį¯åĵģ +éĿŀ常 好çļĦ +çľ ¯ +纳 ç±³ +åĬ¨ æijĩ +åĽŀ éģ¿ +çľĭ èijĹ +款 项 +åħ« å¹´ +åģļ 个 +æĸĩ æ¡£ +éĩijèŀį ç§ijæĬĢ +åħ¶ä¸Ń æľī +äºĨä¸Ģ ç³»åĪĹ +æĹĹèĪ° åºĹ +称 èµŀ +éĽ¢ éĸĭ +åĪ¶ åĨ· +家 éŨåı£ +åįģ å¤ļ +ä¼´ ä¾£ +çľĭ çĹħ +æĭī çĿĢ +æī Ĵ +çĸ² æĥ« +å°ijæķ° æ°ijæĹı +åĽ¾ å½¢ +è½ § +å¢ŀ éĩı +饲 åħ» +çģ« å±± +æ¯ı 个æľĪ +ä½ľä¸º ä¸ĢåIJį +è½´ æī¿ +æĸĩ 书 +ç¼ ķ +åħ·ä½ĵ æĥħåĨµ +çĹĽ çĤ¹ +缴 éĶĢ +å¡ Ĭ +ä¹Ł æľĥ +çĥŃ æ½® +å¹³ æ°ij +æ¼ĶåĶ± ä¼ļ +æķĻ çłĶ +éĢĥ éģ¿ +ä¸Ģ è´¯ +å°± è¶Ĭ +å®ŀ å®ŀåľ¨ +å®ŀå®ŀåľ¨ åľ¨ +ä¹łè¿ijå¹³ æĢ» +æº º +å¿ĥ åºķ +éķ¿ å¾ģ +媽 媽 +第ä¸ī 次 +åĩº æ¼Ķ +çĭĢ æ³ģ +å°Ķ æĸ¯ +代çIJĨ åķĨ +çĨ ı +çļĦ 对象 +çĶµ éĩı +è¡Į åĪĹ +åĽ½ 人 +è·ij äºĨ +åįĶ åĬ© +èIJ¥ è¿IJ +å¸Ī åħĦ +æ¦ ® +æĥ³ åĥı +æĢ§ 强 +ç§ijåѦ çłĶ究 +延 å®ī +ä¸¥æł¼ èIJ½å®ŀ +é¢Ĩ ä¼ļ +缸 å·® +è·¯ 人 +çĶ « +æľī ä»·åĢ¼ +æľīä»·åĢ¼ çļĦ +ç¾İ åĽ¢ +æ°ij主 çĶŁæ´» +æĪij æīį +ç¾İåĽ½ 人 +æ°Ķ åij³ +åıį å°Ħ +çļĦ åĨ³å¿ĥ +大 è±Ĩ +交 代 +è¿Ľ åĩº +åıį æĬĹ +æĮĩ çļĦæĺ¯ +ä»· ä½į +è¿Ľ é©» +ä¸Ĭ çĻ¾ +ä½į åĪĹ +ä¸ŃåĽ½ ä¼ģä¸ļ +çļĦ好 å¤Ħ +主 ç¼ĸ +æ±½ æ²¹ +ä½Ĩ æĪij们 +æĢİä¹Ī çľĭ +é»Ħ å±± +å¤ļ åªĴä½ĵ +åIJİ åį« +èİ·å¾Ĺ æĽ´å¤ļ +åĬ¡ å¿ħ +为 å¥ijæľº +é¦ĸ 饰 +ä¸ĩ åįļ +è¶ĬæĿ¥è¶Ĭ 大 +ä¸ĵ项 è¡ĮåĬ¨ +å¥ĭ è¿Ľ +ä»į çĦ¶æĺ¯ +è´¨ æĦŁ +å¦Ĥæŀľ ä¸įæĺ¯ +ç«Ļ èµ·æĿ¥ +ä¹¾ éļĨ +åı¯æĢķ çļĦ +å¯Į è´µ +æ¸ħ ç®Ĺ +åIJij ä¸ĭ +åĢ ļ +çļĦ çŃĶæ¡Ī +èĪ¹ ä¸Ĭ +çļĦ羣å®ŀ æĢ§ +çŃī åĬŁèĥ½ +åĸľ åī§ +å¨ģ åĬĽ +æĸ° é¢ĸ +æł¸ çĶµ +æĬ¥ éĶĢ +æķħ 乡 +ä¼´ éļı +éŀ Ń +å¦Ĭ å¨ł +åĪĨ åĮĸ +æľī å¾Ī大 +æĢİä¹Ī 说 +æĻĤ 代 +产 åĩº +ä»ĭç»į 说 +å¤ĦçIJĨ åĻ¨ +èĨ¨ èĥĢ +åī¯ å¸Ĥéķ¿ +çļĦ 妻åŃIJ +æł· åĵģ +åIJĮæ¯Ķ ä¸ĭéĻį +åħĥ å·¦åı³ +çĶ¨ èĩªå·±çļĦ +é«ĺ éĽĦ +æĺ¥ æĻļ +ä¹Ł æľīå¾Īå¤ļ +çľ¼ çIJĥ +æķ£ æŃ¥ +ä»ĸ们 éĥ½ +第ä¸Ģ 家 +åĬŀ 好 +å®ī éĺ² +ä¸Ģ ä¸ĩ +åľ¨ éĩĮéĿ¢ +éŁ³ é¢ij +åı£ åı· +ä¸Ģ è¶Ł +ç¦ı çī¹ +é³ ŀ +æĥĬ èī³ +æĸ° å¨ĺ +绿èī² åıijå±ķ +ä¸Ń å¼ı +ä¹Ł åıªæľī +çİ° 身 +åı¯ ä¾Ľ +æ¯ı ä¸Ģ个人 +第ä¸ī èĢħ +åľ° å½¢ +éĴ¢ ç»ĵæŀĦ +çĽijçĿ£ æ£ĢæŁ¥ +åı« æĪij +èĩ´ æķ¬ +æ´Ĺ æīĭ +ä¸ĭ è°ĥ +康 çĨĻ +æĪIJ交 éĩı +ä¹Ł æĪIJ为 +åħī æ»ij +å®Įæķ´ æĢ§ +çģ ¼ +網 éłģ +éķ¿ 寿 +éģ© çĶ¨ +çļĦä¸Ģ 项 +çŀ© 缮 +æĬĬ èĩªå·±çļĦ +éĵ¶è¡Į åį¡ +å°± å¿ħé¡» +ç¾İ çĻ½ +éŀį å±± +æľ¬ é¢Ĩ +ä¸Ģ ç¢Ĺ +æīĵ æ³ķ +æĤ¨ 好 +对 åŃ©åŃIJ +æĬ¥éģĵ 称 +ä¼ł åĩº +大 èĩ£ +ç¬ ĭ +çĽ ı +é¾ ļ +缴 线 +æĻº åºĵ +秣 车 +é£İ åij³ +çľĭ ä¸Ģä¸ĭ +æݨ éĶĢ +éĥ¨ éĥ¨éķ¿ +è´¨éĩı åĴĮ +åĪĬ çĻ» +å·¥ä¸ļ åĮĸ +çİĩ 为 +鼶 件 +硬 åĮĸ +ä¸Ĭ åįĥ +ç»ıéªĮ åĢ¼ +å¹³ è¡Į +声 éģĵ +æľįåĬ¡ è´¨éĩı +çĶŁ çĶ¢ +æľĢ 容æĺĵ +ä¸Ģ æŀļ +å¹´ æĬ¥ +åħ¬ ç½ij +åħ¬ç½ij å®ī +åħ¬ç½ijå®ī å¤ĩ +çļĦ èĥ½éĩı +å®ŀéĻħ è¡ĮåĬ¨ +è¦ģ ä¸įè¦ģ +æĹ¥æľ¬ 人 +èĢ¶ 稣 +ç¼ĸ åī§ +æ¶ © +åį° å°¼ +ä¸Ĭä¸ĭ 游 +åĩł åı¥ +ä¸Ń éĵģ +ç°¡ åĸ® +èĩª 带 +çĶŁ äºİ +ä¸Ģ åı£æ°Ķ +åĭ¤ å¥ĭ +éĻį ä»· +å±ķçİ° äºĨ +å¸ĥ æĭī +ä¼ļ éĢīæĭ© +çļĦ ç»ıåħ¸ +好 æľĭåıĭ +车 éģĵ +æķ´ åĢĭ +åľ ĵ +éķ¿æľŁ 以æĿ¥ +æĬķ å½± +çļĩ åĨł +è¿ĩ 大 +åijĬè¯ī ä»ĸ +ä¼ģä¸ļ æıIJä¾Ľ +æĬ½ 象 +éĢĤ 度 +çļĦ 女åŃ© +èµ· ä¼ı +çļĦ åĬŁæķĪ +ä¸ĵ项 æķ´æ²» +åı¯ éĢļè¿ĩ +ä¸įåIJĮ ç¨ĭ度 +å¼Ĥ è®® +åĩĢ èµĦ产 +åij Ĺ +ä»Ģä¹Ī åij¢ +å·¡ éĢ» +è¸ı ä¸Ĭ +ä½Ĩ å®ĥ +ç²¾ 度 +管 å±Ģ +第ä¸Ģ åIJį +åĨħ åŃĺ +æijĨ åľ¨ +åī© ä¸ĭ +主ä½ĵ 责任 +çĤ¹ åįĬ +以 èĩ³äºİ +åħ»èĢģ ä¿ĿéĻ© +æĦŁåıĹ åĪ°äºĨ +çŁ¥åIJį çļĦ +å¯Į 豪 +妥 åĸĦ +åŃĻ åŃIJ +éĵ Ĥ +说 èĩªå·± +让 æĤ¨ +æķ° æݧ +çļĦçľ¼ åħī +注 éĶĢ +çļĦ çģµéŃĤ +è¿ĺ ä¸įéĶĻ +éĹ® ä»ĸ +èĩªä¸» çłĶåıij +èĵ ĭ +ç´« èī² +åĽ½å®¶ å®īåħ¨ +è¾½å®ģ çľģ +ä¹Ł æ¯Ķè¾ĥ +ç¾İ èĤ¡ +ä¸įç¡®å®ļ æĢ§ +å¿ĥ 头 +æĪ ³ +级 åĪ«çļĦ +论 è¿° +çļĦ åĽŀçŃĶ +ä¿Ŀè¯ģ éĩij +çŃī è¡Įä¸ļ +幸ç¦ı æĦŁ +æѧ è§Ĩ +æľº 票 +æ´¾ 人 +èĩ´ åij½ +åĺ´ è§Ĵ +æĸ°éĹ» ä¸Ńå¿ĥ +æĶ¾å¼ĥ äºĨ +å®ľ å±ħ +åĨĻ ä¸ĭ +éĹ® çŃĶ +è¿ĻéĩĮ æĺ¯ +å¤ļ åľ° +åĮºåŁŁ åĨħ +åīµ æĸ° +çľĭ ä»ĸ +æī§æ³ķ 人åijĺ +åĬ¨ æľº +éŁ³ åĵį +çļĦ åij½è¿IJ +顶 éĥ¨ +åĵ Ł +éĥ½ æľĥ +æīĵéĢł æĪIJ +æĦı åĽ¾ +çļ ĸ +åĢĴ åħ¥ +å·´ èIJ¨ +åĬ© åѦ +å¤į åı¤ +åIJ¯ çĶ¨ +åĽ½éĻħ å¸Ĥåľº +åĤ¨ èĥ½ +é»ijé¾Ļæ±Ł çľģ +ä¹ĺ 车 +è¿IJåĬ¨ ä¼ļ +ä¿Ŀ åĪ© +çŁ³ æĿIJ +çµ ® +çĤĴ ä½ľ +çļĦ ä¿¡ä»» +å°± æĪIJäºĨ +åı¯ è§Ĥ +çļĩ ä¸Ĭ +è¿Ļ åĩłå¤© +ä¸Ģ éĶ® +åĨ· åĨ» +ä¿Ŀ åį« +æł¸ æ¡ĥ +åIJĪä½ľ åħ³ç³» +éĢģ åĩº +æĹĹ ä¸ĭçļĦ +åľ¨ ä¹İ +为 广大 +åįĪ é¤IJ +ä¸ĵ 访 +æĪĸ å°Ĩ +éĿĴå²Ľ å¸Ĥ +å¥Ķ è·ij +æĹ¥ æĬ¥éģĵ +å¥ij åIJĪ +æĸ° æĺ¥ +ä¸į å°ıå¿ĥ +两 ä¸ī +æĦıæĢĿ æĺ¯ +åĨ· èĹı +çļĦ çĹĩçĬ¶ +æĢ§ åij½ +è¶ħ æłĩ +å¯Ĩ 碼 +ç§ijæĬĢ èĤ¡ä»½ +äºĨä¸Ģ æī¹ +çĿ£ å¯Ł +åªĴ ä»ĭ +å°Ħ æīĭ +ä¿® åħ» +çīĩ åĪ» +éĢĤåIJĪ èĩªå·± +åıªè¦ģ æĺ¯ +åIJĥ è¿ĩ +éĩij éĵ¶ +缴 å±ŀ +åѦ éĹ® +åİĭ åĪ¶ +çªĹ å¤ĸ +æĶ¶ åĪ°äºĨ +åħ¨åĽ½ 人大 +ä½Ĩæĺ¯ å¯¹äºİ +åľ¨ æķ´ä¸ª +çļĦ èĥĮåIJİ +åĩıå°ij äºĨ +åıį èħIJ +åıįèħIJ åĢ¡ +åıįèħIJåĢ¡ å»ī +æĹ · +åĪĨ æľŁ +åľ¨ æ·±åľ³ +æīĵ çĿĢ +æī« ä¸Ģ +æī«ä¸Ģ æī« +æĶ¿åºľ éĥ¨éŨ +æİ¥ è¿ŀ +å±ŀäºİ èĩªå·± +åŃIJ å¼¹ +åIJĮæł· æĺ¯ +æĢ» åħ± +车 ä¼ģ +æ¢ ĵ +åħ¬ é¡· +åıij 声 +éĴ Ľ +èµ°åĬ¿ åĽ¾ +主 èIJ¥ +åĸ Ķ +æķ°æį® åĪĨæŀIJ +ä¸į è¿ľ +æľī åIJį +æľīåIJį çļĦ +åģ¿ è¿ĺ +å¾Ī ä½İ +è®ĵ 人 +èĿ ī +é«ĺ è´µ +å°ij 许 +æ° Ł +å¹ ¢ +亲 æĥħ +è¿Ļ件 äºĭæĥħ +çĶ¨ é¤IJ +缸åħ³ æĸ°éĹ» +å°± åºĶ该 +ç»Ī çĤ¹ +æĺ¯ å¤ļå°ij +çĻ» åľº +è¯ķ 管 +è¯ķ管 å©´åĦ¿ +åģļ 大 +åģļ大 åģļ强 +çļĦ ä¾ĭåŃIJ +åħ« 个 +æĺİ æĹ¥ +çĤ ³ +èµ° åİ» +éģ º +å¢ © +ä½ĵä¼ļ åĪ° +åĴ ı +ä¸ĭ è¾¾ +å¤į åıij +追 éĢIJ +æīĵ åĵį +çļĦ éļ±ç§ģæ¬Ĭ +åħ·æľī ä¸Ģå®ļ +è¿Ļä¹Ī å¤ļå¹´ +æłij æŀĹ +æľĢ éķ¿ +åIJĮ èĥŀ +åħī æ³½ +åŁŁ åIJį +æĮĩ åIJij +åıĹ害 èĢħ +æłij èĦĤ +æľīå¤ļ 大 +大 éĿ¢ç§¯ +æĹł ç¼Ŀ +æĶ¹ æŃ£ +æĽ´å¤ļ çļĦæĺ¯ +æľŁ æľ« +æŃ ¼ +ä¹ī ä¹Į +éĤ£ ä½ł +çļĦ 第ä¸Ģ个 +èĮ µ +å° § +èį « +ä¸įä»ħ åı¯ä»¥ +æ¶Į çİ° +æĢ» éĿ¢ç§¯ +æĸ°éĹ» åıijå¸ĥ +æ°ij çĶ¨ +å°± 读 +æīĵ è´¥ +å¤ĸ è¯Ń +æĪij们 ä¸Ģèµ· +é¢Ħ å®ļ +çĥ¹ 饪 +æľĢ 主è¦ģ +æľĢ主è¦ģ çļĦ +çīĮ çħ§ +åĽł åħ¶ +ä½İ ä¸ĭ +ä¼ļ åIJĮ +è§ģ 解 +éĹ´ éļĶ +æķĻ ç¨ĭ +å° ī +å¸Ĥ ä¸Ńå¿ĥ +åħ³éĶ® æĺ¯ +æµ· åįĹçľģ +çī¹åĪ« æĺ¯åľ¨ +ä¸ŃåĽ½ 大éĻĨ +åħħ足 çļĦ +æĹ¢ èĥ½ +åĤ³ çµ± +çijľ ä¼½ +åħ¥ åĽ´ +æħ¢æħ¢ åľ° +æĬ¥ éħ¬ +æī¹ å¤į +å·¥ä¸ļ åĽŃåĮº +ä¸İ åıijå±ķ +èĥ¸ éĥ¨ +åľ¨ ç½ij绾 +åľ¨ç½ij绾 ä¸Ĭ +交 è°Ī +æĽ´ æĶ¹ +åįłæľī çİĩ +ä¸Ŀ绸 ä¹ĭè·¯ +è¡ Ľ +çłĶ åĪ¤ +åĪ ª +åĪª éĻ¤ +è¿Ļ åıª +çļĦ æ°Ķæģ¯ +åĬł å·ŀ +éĴ § +çIJĨäºĭ éķ¿ +ä¸ĸ 家 +æµģè¡Į çļĦ +å¾Ī æľīåı¯èĥ½ +们 éĥ½ +ç»ıèIJ¥ 模å¼ı +è¡Įä¸ļ ä¸Ń +éĢļçŁ¥ 书 +åij½ é¢ĺ +æľ¬ 網ç«Ļ +æ²Ļ çī¹ +åıij åħī +é«ĺ ä»· +å·² çĦ¶ +åıĮ åįģä¸Ģ +ä¸Ĭ è¯ī +ç¿ħ èĨĢ +è¿Ļä¸Ģ å¹´ +大ä¼ļ ä¸Ĭ +éĩ ī +å®Įåħ¨ æĺ¯ +å¾Ĺ 太 +ä¸ĢèĪ¬ 人 +è¿ĺ ç®Ĺ +æĬĺ åıł +æĬķ æľº +çĤ¹ çĩĥ +çİ°éĩij æµģ +åħĶ åŃIJ +ç½ij æł¼ +æİ¥ è¿ĩ +ä¾Ľ è´§ +éĺ´ å½± +åİŁ åħĪ +æį £ +å·¦ 侧 +åħĭ æĭī +æīĵ åį¡ +ç§ij æ¯Ķ +æ±ĩ éĽĨ +åľ°çIJĨ ä½įç½® +è¯Ħ å§Ķ +ç»ĵåIJĪ èµ·æĿ¥ +è¿Ľåħ¥ åĪ° +åı¯ è¡Į +åı¯è¡Į æĢ§ +让 å®ĥ +åĪ¶åº¦ æĶ¹éĿ© +çĶĺèĤĥ çľģ +åĵ Ĺ +åģı åģı +è¡£ çī© +ç¥Ŀ è´º +æºIJ èĩª +并ä¸į 代表 +åĽ½ 度 +好 åĿı +æĿ ĸ +æĿŃ å·ŀå¸Ĥ +湿 度 +é² ¸ +åįļ 彩 +æ³° å±± +æĿij èIJ½ +æĸ° èģŀ +èĤ ĭ +åı¤èĢģ çļĦ +çļĦ ç§ĺå¯Ĩ +ä¸Ģ个 éĹ®é¢ĺ +éģı åĪ¶ +åįĥ 亿 +è¿ĩ 硬 +å°Ħ åĩ» +èĩªçĦ¶ æĺ¯ +产 åĮº +çĤ¹ çĤ¹å¤´ +åı¯ä»¥ 帮åĬ© +说 å®ŀ +说å®ŀ è¯Ŀ +æĪij åıªæĺ¯ +ä¹ĭ ä½Ļ +åIJĮæŶ ä¹Łæĺ¯ +ä¸ŃåĽ½ éĺŁ +建æĪIJ åIJİ +ä¹IJ è§Ĩ +åij¨ å²ģ +èį¯ åºĹ +éĩij åįİ +严éĩį å½±åĵį +è´¨ åľ° +æĹħ éģĬ +åħµ åĻ¨ +æķĻèĤ² æķĻåѦ +离 åİ» +åIJĦå¼ı åIJĦæł· +ä»ĭ ç´ +ä»ĭç´ ¹ +å¼Ģ 头 +å°Ĩ èĩªå·±çļĦ +åIJ¬ åĬĽ +ä¿¡æģ¯ ç³»ç»Ł +ä»İ æł¹æľ¬ +ä»İæł¹æľ¬ ä¸Ĭ +æİĮ 声 +欢 åĸľ +å±ķ åĮº +åķ ¸ +太å¤ļ äºĨ +éĹ² ç½® +èĥ¡ èIJĿåįľ +å§Ķ å®£ä¼ł +å§Ķå®£ä¼ł éĥ¨ +åįĹ éĺ³ +å·ŀ åĮº +ä¸İ æŶ +ä¸İæŶ 俱 +ä¸İæĹ¶ä¿± è¿Ľ +å«Įçĸij 人 +èī¯ å¿ĥ +头 顶 +è´¢ æĬ¥ +ä½Ľ æ³ķ +å¾ µ +åİŁ 件 +åĭ ŀ +çĶ· 篮 +å¤ĸåĽ½ 人 +è¿Ŀ 纪 +æī¾ äºĨ +æįķ æįī +缸 è¯Ĩ +æIJľ éĽĨ +çļĦ ä¼Łå¤§ +ä¸ī ç»´ +å°±è¡Į äºĨ +çĭIJ æľĪ +çĭIJæľĪ å±± +å¸ĮæľĽ éĢļè¿ĩ +èĢĮ 对äºİ +éĿ¢ å°į +åĨĽ åĽ¢ +è¡Ĺ åĮº +æĤ¬ æĮĤ +便 ç§ĺ +æľīä¸Ģ çĤ¹ +ä¼ļè®® ä¸Ĭ +ä¸ĭ æīĭ +廣 åijĬ +äºĶ è¡Į +çŃī åĢĻ +紧紧 åĽ´ç»ķ +æĭ¿ äºĨ +æ¡Į éĿ¢ +ç¥ŀ æĥħ +éĽĦ åİļ +çŀ ³ +楼 ä¸ĭ +å½ ª +äºĭ åıij +åĨį è§ģ +é¤ ĺ +é¢Ħ åĶ® +åİ» çľĭçľĭ +æĪij们 åºĶ该 +ä¸ī 家 +æµ Ĭ +ä¹IJ éĺŁ +çľĭ ä¸įè§ģ +èĦij åŃIJ +æĮģ æľīçļĦ +çĻ½ èıľ +éĹª çĥģ +åĸĿ æ°´ +æݧåĪ¶ ç³»ç»Ł +ä¸ĵ åĮº +æľĿ å»· +æĪij å¿ĥéĩĮ +å±ķ åİħ +èľĺ èĽĽ +åĨ» ç»ĵ +ç² ª +åº IJ +åIJij 社ä¼ļ +åĨ³çŃĸ éĥ¨ç½² +çŁŃ æľŁåĨħ +æĸ° ä¸ļæĢģ +æľ Ķ +æŶ æĬ¥ +使 ä¹ĭ +åĽł åŃIJ +åıĤä¸İ èĢħ +çļĦ 年轻人 +æīĭ 表 +å°ģ éĶģ +为ä»Ģä¹Ī ä¸į +åIJ¸ çĥŁ +æ¯Ĵ ç´ł +åĪij æ³ķ +磫 æŃ£ +身 æĹģ +åİŁ è°ħ +çĽij æĬ¤ +æѤ å¤Ħ +éļ¨ æĻĤ +æŀľ å®ŀ +åĮ»çĸĹ æľįåĬ¡ +ä¸į åIJĪçIJĨ +æIJŀ 好 +çļĦ èĦļæŃ¥ +å¤ĸ å¥Ĺ +ç¶ĵ éģİ +æĶ¾ ç¼ĵ +åģľ çķĻ +æĺŁ çIJĥ +çļĦä¸Ģ éĿ¢ +åĩł ä½ķ +è½® åĽŀ +æ¯Ľ å·¾ +ä¿® çIJĨ +ä¸įçŁ¥ ä¸į +ä¸įçŁ¥ä¸į è§ī +æķ´ 个人 +æ¯ģ çģŃ +åı° å·ŀ +使çĶ¨ 寿åij½ +é»ij çĻ½ +æij¸ ç´¢ +é¼ł æłĩ +éĿ© æĸ° +éº µ +ä¸ĵéŨ 为 +å¾Īå¤ļ æľĭåıĭ +å·¥ä½ľ ç»Ħ +åIJĪ å½± +çĤº ä»Ģ麼 +æŀģ 度 +çļĦ è¿ĽæŃ¥ +å½ĵ ä¹ĭ +å½ĵä¹ĭ æĹł +å½ĵä¹ĭæĹł æĦ§ +è´´ è¿ij +å°º 度 +åľ¨ çİ°åľº +éĻį 临 +åħ»èĢģ éĩij +ç£ ķ +åı¯ä»¥ 使 +管çIJĨ æ°´å¹³ +æľ¬æĬ¥ è®°èĢħ +æ³ķ 令 +åį¡ 车 +举 æµ· +å¤ļ éĩį +åħ¶ éĹ´ +ç´ Ļ +éĩį大 é¡¹çĽ® +æ±Ĺ æ°´ +ç»Ħ å§Ķä¼ļ +ä¿¡æģ¯ åħ¬å¼Ģ +ä¸į论 æĺ¯ +ä¸Ģ åIJ¬ +èĴ¸ æ±½ +æıŃ ç§ĺ +è¶ħ éģİ +触 åıij +å© ¦ +åħ³èģĶ 交æĺĵ +å°± ç»Ļ大家 +好 ä¹ħ +åĢŁ è´· +游æĪı è§Ĵèī² +å¼ĢåIJ¯ äºĨ +æİ ł +åħļçļĦ åįģä¹Ŀ +ä¸ĭ 鼨 +çŁŃ æŶéĹ´åĨħ +å¯ ħ +导 åħ¥ +å·¥ä½ľ ç»ıéªĮ +ä¹Ł åıªèĥ½ +鼷 éľĨ +è·Ł è¿Ľ +åį¡ éĢļ +é¢ĩ æľī +æľº ä½ĵ +æĪĺ士 èģĮä¸ļ +女 主 +ä½ĵåĪ¶ æľºåĪ¶ +足 åįı +èĪĴéĢĤ çļĦ +åĢŁ åı£ +æī¹ åĪ¤ +æķ° åĢ¼ +è« ¾ +éĺ¿æĭī 伯 +åĺ İ +æħ ¶ +è¾¾ 人 +å¼Ģ æ°´ +大 鼨 +温 室 +ä½İ è¿· +ä»į æŧ +éªĹ åŃIJ +亲 å±ŀ +çIJĨ æĻº +æľ¬ åŁºéĩij +å¨ ħ +åĨĻåŃĹ æ¥¼ +å¢Ļ å£ģ +å® µ +èĻ½ çĦ¶æĺ¯ +顺 çĿĢ +åħ« åį¦ +åķĨ çĶ¨ +ä¸į 失 +è¿· èĮ« +顺 便 +æļij æľŁ +欺 è´Ł +é¢ij é¢ij +该 æł¡ +æĸĻ çIJĨ +æ·± æĥħ +åīį éĶĭ +ä¿Ŀ èŃī +èģĮä¸ļ çĶŁæ¶¯ +åħ¬ å¼Ģåıij +åħ¬å¼Ģåıij è¡Į +åħ¥ æĪ· +éł ĵ +åĢ¾ åIJ¬ +éŃ ģ +æĦī æĤ¦ +åĽŀ åIJĪ +åħ¨åĬĽ 以 +åħ¨åĬĽä»¥ èµ´ +åĥ¹ åĢ¼ +èĥ½åĬĽ 强 +ç»ı å¼Ģ +ç»ıå¼Ģ åĮº +è¿ľ æĸ¹ +çļĦ éģĵçIJĨ +缴 åįĩ +缴åįĩ æľº +为主é¢ĺ çļĦ +ç»Ļ æĤ¨ +è¿ĺ æĥ³ +æ¯Ķ æĪij +åĨľ çī§ +æµ· åºķ +çŃ¾è®¢ äºĨ +对äºİ æĪij们 +æŶ 许 +éĶ® çĽĺ +å®ŀéĻħ æݧåĪ¶ +çļĦ æ¨¡æł· +åıįæĺł äºĨ +代 åĬŀ +åĮ» çĶ¨ +éĽĨ ç»ĵ +åıijå±ķ åīįæĻ¯ +æĮĩ çĿĢ +åįİ åĮĹ +è¿Ļ åĩłä¸ª +åIJį æ°Ķ +åĤį æĻļ +èĩª åıij +æ³¢ åħ° +大åĬĽ æİ¨è¿Ľ +èĩª 称 +èįĨ å·ŀ +æIJį 害 +äºĨä¸Ģ åı¥ +æľĢåĪĿ çļĦ +éĩijèŀį åį±æľº +æĢĢ 念 +è¡Į åĭķ +女 æİĴ +ä¸į 解 +ä¼ł éĶĢ +转载 请 +饰 åĵģ +åıª 为 +ä¸İ ä¼Ĺ +ä¸İä¼Ĺ ä¸įåIJĮ +èĥ½ èĢĹ +èı© æıIJ +è¿ij 两年 +è¿Ķ 乡 +马ä¸Ĭ å°± +äºĮ çŃīå¥ĸ +æ°´ 管 +æ³ķ åѦ +çģŃ çģ« +大 å§IJ +åij¨ 转 +æľī æľŁ +æľīæľŁ å¾Ĵ +æľīæľŁå¾Ĵ åĪij +å°į æĸ¹ +ç¥ŀ èī² +æ²¹ èĦĤ +ä¸ī çĤ¹ +ä¸į åĪ©äºİ +äºĭä¸ļ éĥ¨ +å°± è·Ł +å¼Ģ æĶ¯ +å°ı 女åŃ© +åħ±åIJĮ åĬªåĬĽ +çĶļèĩ³ è¿ĺ +è¿Ļ åIJį +è¿Ļ ç¬Ķ +çݯ åį« +æľī ç§į +è§Ĩ åĬĽ +çĨŁ çŁ¥ +åħ¬ç§¯ éĩij +æ¶Īéĺ² å®īåħ¨ +é¢ĩ 为 +大 èħ¿ +éĿ ¶ +çī¹ æķĪ +æľįåĬ¡ åĮº +å¼Ģ åĩº +深度 èŀįåIJĪ +æĹł 忧 +æŁ¥ éĺħ +ç»Ī ç»ĵ +ä¿Ŀ ç¨İ +è¨İ è«ĸ +å½ĵ åģļ +è·³ èĪŀ +å¯ § +女 çİĭ +è®°èĢħ åľ¨ +åħ¨ 产ä¸ļéĵ¾ +è´¯ éĢļ +åħ´ ä¸ļ +éĻį åĪ° +å°ģ éĿ¢ +åħ¨éĿ¢ æİ¨è¿Ľ +奶 èĮ¶ +éĢī åĿĢ +äºĨä¸Ģ åľº +åIJĮ ä¼´ +è®® 论 +æIJ ĵ +诸 èijĽ +诸èijĽ 亮 +å¹² åĺĽ +æµģ æĦŁ +ä¸ĵä¸ļ çŁ¥è¯Ĩ +çĶµ ç«Ļ +åĩı å¼± +åĩº åħ¥ +åIJĦ çľģ +éĿŀ常 é«ĺ +åľ° 毯 +åıij æĸĩ +çĦ ī +çĥ§ çĥ¤ +å£ģ 纸 +æģ¶ åĮĸ +èĬ ¸ +èĥĸ åŃIJ +çĩ Ĵ +çľģ éĴ± +çĻ¾ 强 +çIJĨå·¥ 大åѦ +éĴ¢ æĿIJ +åĽ½æľī èµĦ产 +æĪĺ æľº +æ³Ħ éľ² +åIJİéĿ¢ çļĦ +æ°´ èµĦæºIJ +æ¢ħ èĬ± +åĨĻ çĿĢ +ä¹ĭ 声 +æĹł åı¯ +æĺİ æľĿ +ç«ĭæĸ¹ ç±³ +ç· £ +æĶ¾ è¿ĩ +ç¦ı çĶ° +å¾Ĺ ä½ı +åıĹ ä¼Ĺ +ä¸Ń 级 +çĹħ åıĺ +ä¸Ģ çŀ¬éĹ´ +æĿĥ éĩį +人æĢ§ åĮĸ +åĮ»çĸĹ åį«çĶŁ +ä¸įåĪ° ä½į +æĻºèĥ½ 家å±ħ +饮 çĶ¨ +æ¼Ķ åıĺ +é«ĺ ç´łè´¨ +ä¹Ļ æĸ¹ +åģľ çķĻåľ¨ +èİ· æī¹ +ç©¿ æ¢Ń +客 åľº +æĮ½ åĽŀ +京 åŁİ +çĶŁåij½ åĬĽ +實 éļĽ +çĩ Ī +åĨį çİ° +çİ°å®ŀ ä¸Ń +æľī ä¿¡å¿ĥ +çĸı éĢļ +åĺ´ åĶĩ +鼷 éĶĭ +èıľ åįķ +éħ ¯ +è¶ħ é«ĺ +å¾Ī é«ĺåħ´ +çĶŁ æ®ĸ +éĢł ä»· +误 åĮº +æĨ ĭ +好 æ¶Īæģ¯ +å´ Ń +以 èĩ´ +å¼Ģ çİ©ç¬ij +çĽij è§Ĩ +å·¡ å¯Ł +å¾· å·ŀ +æĹ© æĹ© +éĹª çĶµ +æĪª åĽ¾ +åı¯ä»¥ æł¹æį® +æīĭ èīº +æİ¥ 轨 +ç§į æĹı +æĢĢ éĩĮ +åİ» åĮ»éĻ¢ +ä¸Ģ äºĮ +å¼Ģ éĺĶ +åĩı éĢŁ +ä½Ĩ ä»İ +éĢĻ ä¸Ģ +åĩı åħį +主é¢ĺ æķĻèĤ² +å¼Ģå·¥ 建设 +è¹ ¦ +æľĪ 饼 +ä¸ĭ æ²ī +å°Ĭ 严 +éĻ ĩ +å®ŀ æľ¨ +å»ł åķĨ +声 称 +èĢĥ åľº +å¸ĥ é²ģ +èĩª æĿ¥ +èĩªæĿ¥ æ°´ +éĴ ¾ +å¹´ 以ä¸Ĭ +大 åıĶ +ä»ĸ å·²ç»ı +åħ¨ æĿij +èģĶç³» çĶµè¯Ŀ +为 导åIJij +åĪ¤ å¤Ħ +对 éĺµ +缮 æ¨Ļ +åIJį é¢Ŀ +客 æ°Ķ +横 åIJij +çŃī åĨħ容 +åĩł çĤ¹ +è°Ī 论 +ä¸į ä¹ı +å±ķ çİ°åĩº +è¾ĥ éķ¿ +éĢĨ 转 +å°ı æĻĤ +æĺ¯ å¤ļä¹Ī +æľ¬ æľĪ +è¿ij è§Ĩ +æĪIJç«ĭ 以æĿ¥ +代表 çĿĢ +æĬ¥ å¤į +æĪı æĽ² +è¨Ń åĤĻ +åħ¥ èĤ¡ +å¾ģ æľį +é«ĺ åĩº +èĪŀåı° ä¸Ĭ +å¿ĥ åĬ¨ +两 çĤ¹ +缸 çķ¶ +èĻ Ľ +主 页 +åĩł 家 +æĹł ä¸į +åįı å®ļ +æĸ IJ +å¯ĵ æĦı +åħ¨ 线 +æįķ é±¼ +åı¯ä»¥ ä»İ +æľī è¿Ļæł·çļĦ +æģ¶ éŃĶ +åĮħ åŃIJ +æģ ¤ +å¼Ģå¥ĸ ç»ĵæŀľ +ä¸į æŃ» +èĹ į +弯 æĽ² +æµ· 峡 +éĶĢ æ¯ģ +çļĦ çĭ¬çī¹ +示 æĦı +ä¸įèĥ½ åĨį +èĥ½ æĬĬ +éĺ² çº¿ +ä¸įå°ij äºİ +æ± Ģ +çļĦ éĤ£ä¸Ģ +羣 æĥħ +åŀ ® +被 æīĵ +åĽ½ å®ī +ç¾İ å¦Ļ +è¿Ļ åĩł +åĩº éģĵ +æľįåĬ¡ äºİ +æĪIJæŀľ 转åĮĸ +æīį åįİ +天 é¹ħ +åĩł 个人 +åĢĺ èĭ¥ +èĢ½ 误 +æĬĹ æĪĺ +è¡Į éĬ· +æĿ¥ è¢Ń +åĢŁ éĮ¢ +èįī èİĵ +ä¸¥æł¼ æī§è¡Į +举è¡Į äºĨ +å¤ĸ ç±į +å·² è¾¾ +æĿij åħļæĶ¯éĥ¨ +è¡ Ŀ +éĻį èĩ³ +æµ· éĩı +é¤IJ é¦Ĩ +æĢ¥ å¿Ļ +æ·± è¿ľ +å¾Ģ è¿Ķ +ç¨İåĬ¡ å±Ģ +å¹¿æ³Ľ åºĶçĶ¨ +è®® åijĺ +æĹł æķĮ +çľ¼ åħī +çĥŃè¡Ģ ä¼łå¥ĩ +æŃ IJ +äºĨ äºĽ +è¿Ŀ èĥĮ +è¿Ļ æĺ¯ä¸Ģç§į +ä¸į 稳å®ļ +大家 åĪĨ享 +表 çı¾ +åīį åįģ +è·¯ è¿ĩ +æĴ © +åIJĮ æĥħ +ä¹ł ä¿Ĺ +åıij è´¢ +åºĶ æľīçļĦ +æĿİ æŁIJ +èĤ Ľ +马 åħĭ +éĢļ åijĬ +å·¨ 人 +ä¸Ģ åĽ¢ +éĢĻ 次 +ä¸į äºĨ解 +æĸ½ è¡Į +èij¡èIJĦ çīĻ +åıĺå¾Ĺ æĽ´åĬł +æı £ +åĪĽæĸ° èĥ½åĬĽ +çķħ éĶĢ +表 æī¬ +æ¯Ķ åĪ© +æ¯ĶåĪ© æŶ +åĮ»çĸĹ ä¿ĿéĻ© +æĵį 纵 +伤 亡 +æµİ å®ģ +åıĺ äºĨ +æľ¬æ¬¡ æ´»åĬ¨ +åľŁ 豪 +æĥ³ åĬŀæ³ķ +æĺ ķ +å½ĵ æĻļ +åĩº å±Ģ +çĥŃ è®® +è°Ī è°Ī +æĻĭ åįĩ +åĬ¿ å¿ħ +çĻ» å±± +éĤ£ åĦ¿ +åIJĥ åĪ° +ä¹ĭ åŁİ +å¿« æĿ¥ +æ¹Ľ æ±Ł +第ä¸ī 个 +åħ¨éĿ¢ æıIJåįĩ +å¥ĸ åѦ +å¥ĸåѦ éĩij +æĬķåħ¥ 使çĶ¨ +é½IJ é²ģ +åı¯ä»¥ æĬĬ +åĴĮ ä»ĸçļĦ +è´ŃæĪ¿ èĢħ +æŃ£å¼ı åIJ¯åĬ¨ +åįİ æ¶¦ +ä¸įæĸŃ å®ĮåĸĦ +éĴ¢ æĿ¿ +ç´¯ 积 +满 èĦ¸ +åĽĽ æĸ¹ +è´¢ çī© +ä»ĸ们 ä¼ļ +å¤ı æĹ¥ +éĤ£ 个人 +éĿł çĿĢ +çĤ¹ äºĨ +çĤ¹äºĨ çĤ¹å¤´ +æ© ĭ +åıĪ 好 +åıĪ好 åıĪ +åıĪ好åıĪ å¿« +éĺµ éĺµ +å°ģ 建 +æľ¬ çĶ° +çī©ä¸ļ æľįåĬ¡ +èĩªè´¸ åĮº +åIJ ı +便åĪ© åºĹ +åĽ½å®¶ æłĩåĩĨ +éĿ¢ ç²ī +èī° è¾Ľ +æĶ» åħ³ +æīĵ åĮħ +车 éĺŁ +人 éĢī +åı¯ ä¸įæĺ¯ +äºĮ åįģå¹´ +åIJį å¸Ī +浦 举 +åħ¬ è¯ģ +è¿IJ éĢģ +æĺ¯ æľĢ好çļĦ +æŁĶ åĴĮ +çİĭ æŁIJ +çĹħ æĪ¿ +åĨ¶ éĩij +ä¸Ģ件 äºĭæĥħ +åį ¤ +åı¯ æݧ +çī Ł +æĭ Ĥ +å·² äºİ +人 éĢł +çĶŁçī© åĮ»èį¯ +ä½ĵ çİ°åĩº +èĤ² åĦ¿ +èĢģ å®ŀ +åľĸ çīĩ +è« ¸ +ç´¯ äºĨ +æĦŁåħ´è¶£ çļĦ +åĽ¾çīĩ æĿ¥æºIJ +ä¹Ł æĺ¯ä¸Ģç§į +æ¾İæ¹ĥ æĸ°éĹ» +æŶ 表示 +åħī è¾ī +æĬ¥ åºŁ +å²ģ æŶ +éħ ® +æ£Ģ ä¿® +åıĺ éĢŁ +åıĺéĢŁ ç®± +åľ¨ èģĮ +éı ¡ +æį Ĥ +çĿ£ åĬŀ +æ°¸ ä¸į +åģļ ä¸ĢäºĽ +åİĨ æŶ +å·¥ç¨ĭ æľºæ¢° +æģ° å½ĵ +å°± åľ¨äºİ +称 åij¼ +éĢļ常 æĺ¯ +æł· å¼ı +åij¨ ä¸Ģ +èĭ± éķij +åĿĩ 线 +ä¼ł éĹ» +çĶ¨æĪ· ä½ĵéªĮ +èµŀ åIJĮ +骨 æĬĺ +为主 ä½ĵ +æ±Ł å±± +æ¸ħ æľĿ +æĶĢ åįĩ +ä¸į çĽ¸ä¿¡ +éĿ ´ +æѦ åĬŁ +åĭ¤ åĬ³ +æĿ¥ æī¾ +å°Ĩ æĮģç»Ń +丫 头 +æ¨Ļ æºĸ +è£ ´ +深深 çļĦ +åŃķ èĤ² +è§ĦåĪĴ 建设 +æ¸ħ çĪ½ +ç²¾åĩĨ æī¶è´« +æīĵçł´ äºĨ +è¿Ļä¸Ģ 天 +å·¥ä½ľ æĢ»ç»ĵ +æĹħ ç¨ĭ +举 èIJ¥ +æĶ¾ å°Ħ +æľī åĩłä¸ª +éĿŀ çī©è´¨ +åIJĥ å¾Ĺ +åĹ ¨ +ä¼ļ åıijçĶŁ +篮 æĿ¿ +å¼Ģ å°ģ +麻 å°Ĩ +èıı æ³½ +ä¸į åIJĪ +ç³»åĪĹ äº§åĵģ +èѬ å¦Ĥ +ç¾İ èªī +èĩªå·± åĸľæ¬¢ +交æĺĵ ä¸Ńå¿ĥ +åIJĪ åĶ± +使 æĪij +åĥı ç´ł +带 éĺŁ +ä½Ĩ 对äºİ +æĬĬ è¿Ļ个 +èĤĿ èĦı +åįķ纯 çļĦ +æĶ»åĿļ æĪĺ +缼 ä¼ļ +åijµ æĬ¤ +æª Ģ +赶 ä¸Ĭ +æ¥ Ĭ +ä¹ħ äºĨ +ç¡ Ŀ +çŃĶ é¢ĺ +ä¿ĿæĮģ çĿĢ +è§ģ è¯Ĩ +çĤ¹ åĦ¿ +åįĬ 个æľĪ +æ» ĩ +浸 泡 +ä¼ł éĢģ +åľ¨ å¸Ĥåľºä¸Ĭ +ä¹ĭ 乡 +çī¹ éķ¿ +éĽ ŀ +èª ł +身 å¤Ħ +æŁł 檬 +身 ç©¿ +çľģ åħ¬å®ī +çľģåħ¬å®ī åİħ +åıĻ åĪ©äºļ +åĩł åĪĨéĴŁ +人 åĢij +åľ° 段 +èĩª åѦ +ä¹Ł è¶ĬæĿ¥è¶Ĭ +èģĮ æĿĥ +æĸ § +èĩ » +å½Ĵ 纳 +驾 é©Ń +éĥ¨åĪĨ åľ°åĮº +没æľī æĥ³åĪ° +æĴ ĩ +ä¹Į é²ģ +ä¹Įé²ģ æľ¨ +ä¹Įé²ģæľ¨ é½IJ +èĤ² 人 +çļĦ æŃ¥ä¼IJ +延 æľŁ +æ²¹ æ°Ķ +åģļ å®Į +åľ£ åľ° +丰 åİļ +宽 带 +åı¯éĿł çļĦ +åºŃ éĻ¢ +åŃ ľ +å°ı康 社ä¼ļ +å®īåħ¨ 管çIJĨ +å¹´ 第 +æİĴ 污 +èĥĮ åĮħ +家 ä½ı +åħ¶å®ŀ å°±æĺ¯ +ä¼ļ è§ģ +帮åĬ© ä¼ģä¸ļ +ç½ij è´Ń +æĺ¯ ä¸įä¼ļ +飯 åºĹ +æŃ» åİ» +åħįçĸ« åĬĽ +æľ ķ +åĸĿ äºĨ +è½» å¾® +个æľĪ åĨħ +ç»Ħ åĽ¢ +åĴĮ å®ĮåĸĦ +é¸ ½ +æıIJ éĢŁ +西å®ī å¸Ĥ +ä¸Ńå¿ĥ 主任 +æŶéĹ´ 为 +æľŁ æĿĥ +è¶ ķ +ä¸įä»ħ è¦ģ +æľį ä»İ +é¡ĺ æĦı +ä¸į å°ı +ä¸įå°ı çļĦ +ç° ĩ +çª ¦ +åĪĩ æĪIJ +åĵĪ åĪ© +天 羣 +ä¸Ģ次 次 +éĩij å¸ģ +æĢİä¹Ī èĥ½ +ç½ij è´· +ä¼ļ计 å¸Ī +çŁŃ 缺 +对 æłĩ +åıĺå¾Ĺ æĽ´ +åīį åĩłå¤© +éĺ² æ±Ľ +彩 èĻ¹ +åĵģ ä½į +表 æł¼ +严 å¯Ĩ +æ¯Ľ åĪ©çİĩ +çļĦ åį±å®³ +å½ķ åĪ¶ +æ°´ åĬ¡ +èĥ½å¤Ł 让 +å¹³ æĿ¿ +ä¹³ æĪ¿ +è¸ı å®ŀ +é¦ĸ åĪĽ +é¦Ļ èķī +æĬ¥ 表 +ä¸Ģ æĬ¹ +åĩºçĶŁ äºİ +è²» çĶ¨ +åĩº 让 +åIJĪæ³ķ æĢ§ +å°¼ åħĭ +åĨ° åĨ· +é¦Ļ æ°Ķ +åı· 称 +èµ· çłģ +åŁİ åİ¿ +çİ© èĢį +ä¸Ĭ éĻIJ +ä¼ļè®® ç²¾ç¥ŀ +æĹģè¾¹ çļĦ +便 ä¼ļ +æıŃ æĻĵ +çİ© æĦı +éĽª å±± +åIJij çĿĢ +ä½ĵèĤ² åľ¨çº¿ +说æĺİ ä¹¦ +åĮĸ èĤ¥ +åħļç»Ħ 书记 +åĬ¨ 人 +ä¹ĭ æīĢ +æľĪ èĩ³ +æľĢå¿« çļĦ +èĬĤ åģĩæĹ¥ +ä¸ĵ åľº +èĢĥ ä¸Ĭ +çª Ł +é²ľ è¡Ģ +è¾ĥ强 çļĦ +æĤĦ çĦ¶ +å¤ļ个 åĽ½å®¶ +çªĹ å¸ĺ +æŀģ å¤§åľ° +ä¸įçĶ¨ æĭħå¿ĥ +è¿Ļä¹Ī åģļ +åĥ¹ æł¼ +ç¾İ丽 乡æĿij +å°ıæŶ åĨħ +ç´§ è¿« +大 çģ« +èĥ³ èĨĬ +æĵįä½ľ ç³»ç»Ł +æ®ĭ çķĻ +åĨĻ åĩº +ç¦ģ å¿Į +åĬłçĽŁ åºĹ +è¿ij çĻ¾ +便 åı¯ +æķ´æĶ¹ æݪæĸ½ +éĩĩ访 æŶ +åĶIJ 代 +æ·±åĮĸ æĶ¹éĿ© +çŁ ¢ +éĥ½ åĸľæ¬¢ +è¶ĬæĿ¥è¶Ĭ é«ĺ +èĬ± æľµ +头 çĸ¼ +å®ī 康 +å¢ŀéķ¿ çİĩ +çľ¼ çľĭ +å°±æĺ¯ ä¸ºäºĨ +èĢĮ 导èĩ´ +åĬłå¿« 建设 +èĬ± æł· +åĨħå¿ĥ çļĦ +æĺĨ å±± +è³ĩ æºIJ +åĽŀåĪ° 家 +èıĬ èĬ± +æ°´ éĩı +å¾ģ ä¿¡ +è¡ĮæĶ¿ åĮº +ä¹ĥ æĺ¯ +æĬķèµĦ é¡¹çĽ® +å«ģ ç»Ļ +ç¥ŀ åľ£ +ç¨ ł +æľ¬æĿ¥ å°± +éĢIJ ä¸Ģ +èģĮä¸ļ æĬĢæľ¯ +ä¸įèī¯ ä¿¡æģ¯ +æīĺ è¿IJ +åIJ¯ 示 +ä¹ĭ åħ§å®¹ +éŁ ¶ +奢 åįİ +æıŃ ç¤º +æĪIJ为 ä¸ŃåĽ½ +æ¶Īè´¹ åĵģ +åħ¬ çĶ¨ +æIJŀ å®ļ +请 ä½ł +æŁ ļ +åĨħ è¡£ +ä½Ĩ ä»ĸ们 +ä¿Ŀ 湿 +该 åİ¿ +饱 åĴĮ +æݨ åIJij +èµĦæĸĻ æĺ¾ç¤º +ä¸į å½±åĵį +人 人éĥ½ +åıijå±ķ 壮大 +åħ»èĢģ æľįåĬ¡ +çĶŁæ´» æ°´å¹³ +åIJĦ åİ¿ +ä½ł éľĢè¦ģ +说 çļĦæĺ¯ +å¤ĸ åªĴ +æѤ 人 +次 è¦ģ +追 赶 +åºĶ该 å¦Ĥä½ķ +æĹ¥ åĩĮæĻ¨ +çķ¥ æľī +éĥ½ æĥ³ +游 ä¹IJ +è¿Ļ款 游æĪı +å¹³ æ·¡ +æĺ¯ä¸Ģ åĢĭ +å¤ĩ èĢĥ +åĪ¶ æŃ¢ +ä¸Ģå®ļ èĥ½ +å¾Ĵ å¼Ł +以 çĤº +åįĥ åħĥ +äºĶ åħŃ +迪 士 +迪士 å°¼ +éĺ³ æĢ§ +åĨ¬å¥¥ ä¼ļ +å°±æĺ¯ åĽłä¸º +æĮĤ éĴ© +æ¦Ĥ åĨµ +åıªè¦ģ æľī +æ²¹ çĶ» +åľ° æłĩ +ä¸Ĭ è°ĥ +产ä¸ļ åĽŃåĮº +åħ« åįģ +æ£ ± +液 æĻ¶ +æĿij å§Ķä¼ļ +çŃ¾çº¦ 仪å¼ı +è¿Ļ åħ¶ä¸Ń +åĨĻ éģĵ +示èĮĥ åŁºåľ° +éĩİçĶŁ åĬ¨çī© +鼻åŃIJ ä¿¡ç®± +åĽ½éĻħ è´¸æĺĵ +人 æĿĥ +ä¿Ŀ 管 +èĭ¥ æĤ¨ +åİĭ æĬij +é» Ľ +åľ° çľĭçĿĢ +éĻ ° +ä¸Ģå¹´ å¤ļ +ä»İ 容 +ä¸Ń æĸŃ +å¯Ł è§ī +移 交 +éĶ ¯ +æĪĸ许 æĺ¯ +ç¶ ł +两 项 +æľĢ åĸľæ¬¢ +æľĢåĸľæ¬¢ çļĦ +å¤ľ éĩĮ +åIJĮ ä»ģ +åĪĽæĸ° 驱åĬ¨ +è°ģ èĥ½ +é£ ¾ +åħī åѦ +åİ Ħ +èĦ± é¢ĸ +èĦ±é¢ĸ èĢĮåĩº +è¿ ¦ +æĺ¯ ä¸įåı¯èĥ½ +çª ¥ +èĥ½ 满足 +宽 度 +伦 çIJĨ +åı¯ä»¥ èİ·å¾Ĺ +转 ä¼ļ +å±± æĿij +éĵº 设 +åĩº åĩ» +æĸĩåĮĸ èīºæľ¯ +ä¼ļè®® 室 +æŃĮ 声 +æ» Ķ +èIJİ ç¼© +æľįåĬ¡ åijĺ +åıij表 äºĨ +æĸ¼ æĺ¯ +æĺİç¡® è§Ħå®ļ +ç»´ å¥ĩ +æ°´ 产 +æĬķ ä¿Ŀ +éĺ´ éģĵ +赶 å¿« +夺 å¾Ĺ +ä¸ĭ åįķ +çī©æµģ åħ¬åı¸ +çݯ ç»ķ +å½ Ī +ä½ľé£İ 建设 +æĹħ游 æĻ¯åĮº +æľī æĽ´å¤ļçļĦ +丰å¯Į å¤ļ彩 +çIJĨè´¢ 产åĵģ +åĩº å·® +ä»İ严 æ²» +ä»İ严治 åħļ +缸 å¹² +æ»ĭ 润 +主åĬŀ æĸ¹ +åī§ åľº +æ»ļ çIJĥ +æ©Ħ æ¦Ħ +èĩªä¸» åĪĽæĸ° +éĢļ å¾Ģ +æł¼ å°Ķ +çļĦ ä¼ĺçĤ¹ +èĥĮ ä¸Ĭ +çª ľ +çĪĨ åĩº +å¹³ æķ´ +ä¸Ģ èĦļ +åħ¨ä½ĵ åijĺå·¥ +éĻIJ å®ļ +åŁİéķĩ åĮĸ +æ· ³ +éĢ® æįķ +è¡ĮåĬ¨ 计åĪĴ +æīĵ å¾Ĺ +åİļ éĩį +纪å½ķ çīĩ +åĿļ ä¿¡ +央 ä¼ģ +åĨį ä¹Łä¸į +天 涯 +åıĤèĢĥ èµĦæĸĻ +æľī æ¯Ĵ +åIJ¸ 纳 +è¶Ĭ åıij +éĩįè¦ģ æĦıä¹ī +åĽ½éĺ² éĥ¨ +è¿Ļ个 è¡Įä¸ļ +æĻ® æŁ¥ +å¼Ĥ æĢ§ +延 è¿Ł +å°ı å¹ħ +èī² æĥħ +综åIJĪ æ²»çIJĨ +æŃ£æĺ¯ åĽłä¸º +产ä¸ļ ç»ĵæŀĦ +çłĶ究 æĬ¥åijĬ +åģľ ä¸ĭ +éķ¿ èĢģ +éĩĿ å°į +åįĹ京 å¸Ĥ +çģĮ æºī +转 è¿IJ +欺 è¯Ī +éĢł åģĩ +åĪĨå¸ĥ å¼ı +æĦŁ 触 +æĪij å½ĵæŶ +åıij è§ī +åĽ¾ 纸 +æĶ¹ èī¯ +çĭł çĭł +åĨ² åĪº +æĸ° 京 +æĸ°äº¬ æĬ¥ +ç¥ŀ åĻ¨ +秸 ç§Ĩ +çĪ º +å°Ĩ è¿İæĿ¥ +å·¥ ä¿¡ +工信 éĥ¨ +éĻIJ éĩı +æŃ¢ æįŁ +åѦä¼ļ äºĨ +åįİ çĽĽ +åįİ缼 é¡¿ +å¾Į ä¾Ĩ +ä¸ĭéĿ¢ æĺ¯ +ä¸ĭéĿ¢æĺ¯ å°ı +æIJ¬ è¿IJ +ç¾İæľ¯ é¦Ĩ +æ¸ħ åĩī +å¤ļå¹´ åīį +è© ŀ +åįĥ ç±³ +表 è¿° +æ±Ł éŨ +åĬłæ²¹ ç«Ļ +æľ¬ èĥ½ +导 读 +åĽ´ è§Ĥ +并 åIJij +åŁºæľ¬ æĥħåĨµ +æīĵ å¼ĢäºĨ +è¿Ļ ä¸ī个 +æ±ķ 头 +强 æľīåĬĽ +强æľīåĬĽ çļĦ +è¿Ľ åľº +ä¹Ŀ æ±Ł +çIJĥ æĺŁ +好çľĭ çļĦ +大 æĪ· +æ¹ ¯ +å¥ĩ å¦Ļ +ä¹IJ åĻ¨ +æĪijçļĦ å¿ĥ +çľī 头 +åĨľä¸ļ çĶŁäº§ +ç¼ĸ çłģ +åŁº ç¤ +åŁºç¤ İ +天 æĸĩ +åĢĭ人 è³ĩè¨Ĭ +åİ» è¿ĩ +èģĨ åIJ¬ +æĶ¾ åģĩ +ä¸į åħ·å¤ĩ +æ·Ģ ç²ī +大 佬 +åħ¨ 天 +åħ¨éĿ¢ 建æĪIJ +éļIJ å½¢ +ç¼ħ çĶ¸ +åIJ ³ +è¡ĮæĶ¿ æī§æ³ķ +åŁİ åł¡ +èİ« æĸ¯ +èİ«æĸ¯ ç§ij +æīĢæľī æĿĥ +éĽĨ åľĺ +å±Ģ åī¯å±Ģéķ¿ +åĩłä¹İ 没æľī +æ´ģ åĩĢ +çĶµå½± èĬĤ +åŃ© ç«¥ +æīĢ åģļçļĦ +æ¸ħ 代 +æĸ° çīĪ +éĵĿ åIJĪéĩij +为 æĬĵ +为æĬĵ æīĭ +åĪ¤ å®ļ +çī¹ 产 +æīĭ æ©Ł +ä¸įåı¯ æĪĸ +ä¸įåı¯æĪĸ 缺 +å¸Ĥåľº è§Ħ模 +åĿ ¯ +åĮ» åѦéĻ¢ +å¿« è¦ģ +èĮ ľ +æĬĺ èħ¾ +äºĨ è¿ĩæĿ¥ +æĬ¥åijĬ æľŁåĨħ +çī© ç§į +ç»Łè®¡ å±Ģ +æī© 建 +æ¶ ħ +责任 人 +éĺ İ +è¯Ħ è®® +å¾Ģ äºĭ +æīĢ 示 +æķ´ æ´ģ +éĹº èľľ +æĹħ éĢĶ +å®ŀ è®Ń +ä¹ĭ 称 +å·´ 士 +éĢŁåº¦ å¿« +ä¸įä»ħ å¦ĤæѤ +å®Ŀè´µ çļĦ +åºŁ çī© +æ²³ æ°´ +æİ¥ 纳 +ç²¾ æ¹Ľ +åħ¶æ¬¡ æĺ¯ +顺 å¾· +åħ¬åħ± åį«çĶŁ +è¤IJ èī² +ä¸į æĥľ +æĬĢæľ¯ æľįåĬ¡ +æİ · +æ±Ĥ èģĮ +ä¸ī 峡 +æĬķåħ¥ åĪ° +太 åIJİ +åIJ¯åĬ¨ 仪å¼ı +缴æİ¥ å½±åĵį +æĸ° 款 +个 乡éķĩ +çĻ¾ 亿 +åº « +ä¹Ł æŃ£æĺ¯ +åı¶ çīĩ +æľĢæĹ© çļĦ +æĪĺ 绩 +å·¥ æľŁ +æĻļ æľŁ +è¿Ļæł· 说 +è¯į è¯Ń +ä¾ Ħ +æķ£ çĥŃ +éĽĨæĪIJ çĶµè·¯ +åIJį è¯į +æĻº åķĨ +æĭ¥ åłµ +çĭĤ 欢 +è¿Ļ èĪ¬ +æµ´ 室 +åijķ åIJIJ +æľªæĿ¥ åıijå±ķ +ä¸īä½į ä¸Ģä½ĵ +åªĴ é«Ķ +ä¸įå¾Ĺ 转载 +åĽłä¸º 她 +æĺ¾ç¤º å±ı +ä¾Ľ æļĸ +éĨ« éĻ¢ +æľī æĦıæĢĿ +æľīæĦıæĢĿ çļĦ +娱ä¹IJ åŁİ +åįµ å·¢ +åĪĽéĢł åĬĽ +ç«ł èĬĤ +人大 常å§Ķ +èĢĮ çİ°åľ¨ +å¤ĸ å©Ĩ +å¢ŀ æĮģ +äºĶ åįĥ +èĢģå¸Ī 们 +æ´Ľ æĿī +æ´ĽæĿī 磶 +æİĮæı¡ äºĨ +ä¸ŃåĽ½ æĸĩåĮĸ +æĸ° æĶ¿ +主è¦ģ çĶ¨äºİ +åıij çĥ§ +类似 äºİ +åĮĹ æŀģ +æĪij们 认为 +å¼¥ 漫 +åħ¨çIJĥ ç»ıæµİ +é¢ IJ +ä¸Ģèµ· è£ħä¿® +æĶ Ĵ +æĭī èIJ¨ +帶 ä¾Ĩ +åĨ· æ°´ +ä¸ī åĨľ +æĿ¿ æĿIJ +è¿ŀ è¿ŀ +éĵ ® +ç»ıèIJ¥ çIJĨ念 +å±± 顶 +å¾Ī æĥ³ +çĺ « +å§ĭç»Ī ä¿ĿæĮģ +åľ¨ 广å·ŀ +ä¸įåIJĮ æĦı +åıĺ åİĭ +åıĺåİĭ åĻ¨ +产 éĶĢ +表 éĿ¢ä¸Ĭ +æīĢ以 ä»ĸ +ç»ıéªĮ 丰å¯Į +éĥ¨ å§Ķ +åħµ åĽ¢ +æīĢ è¿° +æķ¦ çħĮ +ç»ıèIJ¥ èĮĥåĽ´ +åı£ è¯Ń +失 ä¿¡ +æ¯ı个人 çļĦ +æīĭ æĮģ +æģIJ æħĮ +åł¡ åŀĴ +é¦ ħ +éĵ¸ éĢł +æĭ¿ åĩºæĿ¥ +æİ¢ æµĭ +大家 ä¸Ģèµ· +å¥ § +å®ŀè´¨ æĢ§ +å°ı åĦ¿ +èĩº åįĹ +èĩºåįĹ å¸Ĥ +å¼Ģåıij èĢħ +åı¯ æł¹æį® +ç®± åŃIJ +饺 åŃIJ +å¿Ļ çĿĢ +æĿ¥ ä¸įåıĬ +缸 ä¼ł +åĽ½ ç½ij +èħ¹ æ³» +è¿ĻéĩĮ æľī +é£İ æĻ¯åĮº +åıĤ ä¿Ŀ +æŃ» èĢħ +æĪ´ ä¸Ĭ +æ©Ł æ§ĭ +è¯ķéªĮ åĮº +ä¼ł æİĪ +æµ· è¾¹ +泪 æ°´ +缸åħ³ åĨħ容 +éĥij å·ŀå¸Ĥ +åħij çİ° +两 åij¨ +èĬľ æ¹ĸ +çĶµåŃIJ ä¿¡æģ¯ +红 å¤ĸ +æĹħ游 å±Ģ +å¾Ģå¾Ģ ä¼ļ +è¿ħ çĮĽ +ä¼ł 羣 +æ¸ħ æ¾Ī +å°± è¿ij +微信 群 +ç³»åĪĹ æ´»åĬ¨ +ç»ı常 ä¼ļ +è§Ĥ æµĭ +å¿ĥå¾Ĺ ä½ĵä¼ļ +éĻĪ åĪĹ +åĮĹ æĸĹ +è« ® +è«® è©¢ +è¿ĺæĺ¯ ä¼ļ +æµĭ ç®Ĺ +æĺŁ ç©º +宽 容 +çī©ä¸ļ åħ¬åı¸ +æĪĴ æĮĩ +å¸ħ æ°Ķ +ä¸ĢæŃ¥ æŃ¥ +åħ± 鸣 +åĨ³ ä¸į +æİ¥ 管 +å¦ĩ èģĶ +æ¯Ķ åĸ» +é²ģ è¿ħ +æĮģ çºĮ +缸 亲 +å¨ģå°¼æĸ¯ 人 +ç«ĭ 项 +åĪ Ŀå§ĭ +èĩª åĪ¶ +è¿Ī è¿Ľ +ä¸Ĭ æ±½ +å®ı ä¼Ł +æł¹æľ¬ 没æľī +æĸ°åĨł çĹħæ¯Ĵ +åĵª ç§į +康 åħ» +è¡° èĢģ +å½ķ åĥı +é«Ķ é©Ĺ +ç»ij å®ļ +é¢Ŀ 头 +äºĶ æľĪ +èĬ± å¼Ģ +ä¸Ģ线 åŁİå¸Ĥ +åĪ° åľº +æĬķ éĻį +çĹĺ çĹĺ +åıĹ ä¸įäºĨ +æīİ æł¹ +æĽ´ ä½ķåĨµ +æĬ½ æŁ¥ +åĩº è·¯ +审议 éĢļè¿ĩ +ä¸į åĥħ +èī² è°ĥ +çĻ¾ ä½Ļ +èĤł éģĵ +æ·±åİļ çļĦ +马 åĬĽ +æĹ© æĻļ +æŃĮ èĪŀ +éĺ² æĻĴ +æľĢåIJİ ä¸Ģ个 +樱 èĬ± +å°ıä¼Ļ åŃIJ +åľ¨ å½ĵåľ° +å°ıä¼Ļä¼´ 们 +èµ· æºIJ +åħ¨ åªĴä½ĵ +ç° ½ +éħ± æ²¹ +æĹłè®º å¦Ĥä½ķ +裤 åŃIJ +åģľ 产 +ä¸įçĶ± å¾Ĺ +çīµ å¼ķ +ä¼ł åĬ¨ +ä¹Ŀ é¾Ļ +åĬł åĽº +ä¹Łä¸į æķ¢ +æĬĢæľ¯ æĶ¯æĮģ +ä¸Ĭ å²Ĺ +ç»ıéªĮ åĴĮ +æł¼ æŀĹ +åIJ¸ éĻĦ +æľªæĪIJ å¹´ +奢ä¾Ī åĵģ +追 æį§ +好 ä¸į容æĺĵ +èķ´ åIJ« +ä¿Ŀ å®ļ +æĬ¥ ä¸ļ +æµ· åĨħå¤ĸ +ä½ł çİ°åľ¨ +æ²¹ èĢĹ +è´¨éĩı 管çIJĨ +æ½ľ æ°´ +丽 æ±Ł +转 åħ¥ +è¿Ļä¹Ī ä¹ħ +æĺİ ä»£ +责任 åĪ¶ +éĩį å·¥ +大 å·´ +触 åıĬ +èµ· åĪĿ +大 å¦Ī +æĸ¯ å¡Ķ +åĨĽ å·¥ +书 éĻ¢ +å³ ¨ +æݨ çIJĨ +è¿Ļç¯ĩ æĸĩç«ł +è¿ģ 移 +åľ¨ åIJĮä¸Ģ +ç»Ĩ ç»Ĩ +åīĬ å¼± +书 æĪ¿ +ç¶ĵ 常 +è¯ķ é¢ĺ +æĤ£ ä¸Ĭ +çĻ«çĹ« çĹħ +åĨ² æ´Ĺ +å¤ĸ æı´ +åħĭ åĪ¶ +åįģ æľĪ +åģļ ä¸įåĪ° +ç¾İ åĮĸ +å¦Ĥ æľŁ +è¿ĺ éľĢ +天 åºľ +å°± æĦıåij³çĿĢ +çļĦç¡® æĺ¯ +éªĹ å±Ģ +å°ıç»Ħ èµĽ +è© © +ä¹Ŀ å¹´ +æĻĵ å¾Ĺ +çłĶ究 人åijĺ +大 éħĴåºĹ +ç§ij åѸ +åħŃ åIJĪ +çķĮ å®ļ +车 è½½ +å¼Ģ çĿĢ +毫 æĹłçĸij +毫æĹłçĸij éĹ® +è¿IJ ç»´ +ç¦ģ åĮº +èĦ± èIJ½ +讲 å¸Ī +产ä¸ļ åŁºåľ° +é«ĺ æĢ§èĥ½ +åħī 彩 +çİ° éĺ¶æ®µ +åĩ ¿ +è¾ĥ å·® +饮 çĶ¨æ°´ +éĸĭ çĻ¼ +ç½ij åIJ§ +çĮ´ åŃIJ +æѦ æŀĹ +å®ī åİ¿ +ä¸įåı¯ æĢĿ +ä¸įåı¯æĢĿ è®® +éĬ· åĶ® +è´« ç©· +为 åķ¥ +éº ĵ +å¹¾ åĢĭ +è§Ħ模 以ä¸Ĭ +æı ļ +被 åĽ° +缺 å¸Ń +å¿« é¤IJ +æĬ¢ åįł +æĻ Ł +å¤į æ´» +æľ¬æĬ¥ 讯 +åĪĽ ä¸ĭ +æµ· 滩 +éĩı 产 +å¦Ĥä½ķ åİ» +车 ä½į +å¯ ĩ +äºĮ åįģåĽĽ +ç»ıæµİ æįŁå¤± +éħįå¥Ĺ 设æĸ½ +åŁºæľ¬ éĿ¢ +äºī 论 +就好 åĥı +çłĶ究 æĪIJæŀľ +éĻĪ è¿° +æīĵ åĬ¨ +ä¸ĭ å·´ +ç§Ĵ éĴŁ +对 人ä½ĵ +æĬĢæľ¯ çłĶåıij +åİŁ åŃIJ +æĺ¯ä¸Ģ 项 +äºĨä¸Ģ 份 +æĮĩ çĶ² +çĶ¨ éĩı +è¿ĺä¸į å¤Ł +æĶ¿åºľ éĩĩè´Ń +çŁ¥è¯Ĩ çĤ¹ +ä¸ŃåĽ½ 梦 +å¾Ī å¼Ģå¿ĥ +礼 è²Į +éĿŀ常 å¤ļ +éĿŀ常å¤ļ çļĦ +åĽ ļ +æĹħ é¦Ĩ +å°½ æĥħ +æŃĮ åĶ± +æ²Ļ é¾Ļ +车 åİ¢ +客 æµģ +åģı å·® +积累 äºĨ +æ¡ Ķ +çĶ» çĶ» +ä¹Ł åºĶ该 +åºĶçĶ¨ ç¨ĭåºı +èĥĥ èĤł +以 å¾Į +豪 å®ħ +æ·± åĬłå·¥ +缴 è¨Ģ +åĮĸ çŁ³ +åĽ½ éģĵ +ä¸ĥ 个 +ä»İèĢĮ 使 +èĤł èĥĥ +æĹ¥ è¶ĭ +çĪ¶ åŃIJ +ç· © +æĭĽ çīĮ +产 å¦ĩ +çķª èĮĦ +æĪij éĻ¢ +建çŃij å·¥ç¨ĭ +å±ķè§Ī ä¼ļ +家éķ¿ 们 +åĨľ ä½ľçī© +æĹ¥ å¤ľ +æĶ» æĵĬ +è§Ħ éģ¿ +èĪŁ å±± +便 æ°ij +åħ« åŃĹ +ä¸į æĽ¾ +æĶ¯ éħį +çĨ¬ å¤ľ +人 é¡ŀ +ç´Ģ éĮĦ +ç»ıèIJ¥ æ´»åĬ¨ +大 涨 +å¸Ĥå§Ķ 常å§Ķ +åĪĨ éIJĺ +ä¸Ģ个 èģĮä¸ļ +çĹħ åĽł +è¿Ļ 对äºİ +ä¸įå¾Ĺä¸į 说 +åıijçĶµ æľº +æľīæīĢ 帮åĬ© +缮æłĩ ä»»åĬ¡ +åĽł åľ° +åĽłåľ° åĪ¶ +åĽłåľ°åĪ¶ å®ľ +å°Ĩ è¾¾åĪ° +ç²Ĺ ç³Ļ +稳 åĽº +å« £ +çİ°åľ¨ å¾Īå¤ļ +ä¸ĸçķĮ 级 +å¼ł æŁIJ +çĤ¹ ç¼Ģ +èij µ +社ä¼ļ ç»Ħç»ĩ +å¾Ģ åIJİ +åĬł æģ¯ +åĻª 声 +æľī åħ´è¶£ +为æĤ¨ æıIJä¾Ľ +æ²¹ æ¼Ĩ +ç¬¬åĽĽ å±Ĭ +çļĩ 宫 +ä¹Ĵ ä¹ĵ +ä¹Ĵä¹ĵ çIJĥ +éļ¨ èijĹ +éģ© åIJĪ +åįĹ éĿŀ +æĵ ´ +西 æ´ĭ +åĬł å¯Ĩ +æĪIJåĬŁ 举åĬŀ +åı£ æ°´ +æĪIJ 年人 +æīĢ æıIJä¾ĽçļĦ +éļĶ å£ģ +åľ¨ 京 +å½ĵåľ° æŶéĹ´ +çŃī åIJĦç§į +é£İ æ°Ķ +å±ĭ éĩĮ +ä¸Ģ åŃĹ +çļĦæŶéĹ´ éĩĮ +åĺ¿ åĺ¿ +å¿« 讯 +ä¸Ń åľº +ä¸Ģ çĵ¶ +æ» ķ +é¢Ĩ è·ij +好 èݱ +好èݱ åĿŀ +没 åħ³ç³» +åĩº å¢ĥ +ä¸įæĺ¯ ä¸Ģ个 +éĥ½æĺ¯ éĿŀ常 +éľĩ åĬ¨ +èİ· èĥľ +åįļ å¼Ī +æĬļ åħ» +对 ç«ĭ +æľįåĬ¡ æľºæŀĦ +è°£ è¨Ģ +社ä¼ļ ç§ijåѦ +åIJ¬è¯´ è¿ĩ +æī ³ +æīĵ 磨 +åı£ æľį +好 åĥıæĺ¯ +以åıĬ åħ¶ä»ĸ +çī¹ è´¨ +亲 è¿ij +ä¸Ģ ç»ı +æ¶ Ŀ +éŃĶ æľ¯ +éģĵè·¯ 交éĢļ +è§Ħ模 æľĢ大 +å®ŀæĸ½ æĦıè§ģ +ä¹ ŀ +ä¸Ģ ä¸ĸ +åŁ· è¡Į +è±Ĩ çĵ£ +åĪĹ ä¸º +æķħ 宫 +çĶŁ åij½åij¨æľŁ +ä¸īç§į èģĮä¸ļ +详ç»Ĩ ä»ĭç»į +å®Į å¤ĩ +岩 çŁ³ +éļı æīĭ +é£ ² +æķĪæŀľ åĽ¾ +ç§ĭ åĨ¬ +åĬŁ å¾· +è§Ħç«ł åĪ¶åº¦ +æĹ¥ æ¸IJ +æīĢ éľĢè¦ģ +æīĢéľĢè¦ģ çļĦ +å²Ľ ä¸Ĭ +åĩº åľŁ +åĽ¾ æĸĩ +ç§ijæĬĢ è¿ĽæŃ¥ +éĢļ èĥĢ +èĢģ 太太 +èĭĹ æľ¨ +éĵ¶ å·Ŀ +å¸IJ 篷 +éĿŀ è¦ģ +éħį çĶµ +å¤Ħ å¢ĥ +èĤ¡æĿĥ æĬķèµĦ +ä¸Ģ缴 åĪ° +åĿĩ çĶ± +æĬĹ æĹ¥ +æį® ä»ĭç»į +ä½ł åĸľæ¬¢ +åĪĽæĸ° åŀĭ +åıĺ è¿ģ +è§Ĩ å¯Ł +å®Įåħ¨ 没æľī +åħĥ æŦ +åı¯ ä¿¡ +åı¦ è¡Į +æĿij 级 +åħ¥ åľº +æIJŃ æ¡£ +ä¹Ł åĽłæѤ +æį¢ æĪIJ +ä¸į è´Ł +äºĨ 大éĩıçļĦ +éģĶ åĪ° +å¸Ĥ åİ¿ +å¹´ è¼ķ +å¿« æīĭ +å¸Į å°Ķ +èĩª èIJ¥ +éĽª èĬ± +æIJ ģ +çľ¼ ç§ij +æŃ£ 確 +çļĦ 姿æĢģ +åĿļå®ŀ çļĦ +æĮĩ 纹 +æªĶ æ¡Ī +ç½® äºİ +佩 æľį +豪 éŨ +åĵ Ĵ +æģ° 好 +檢 æŁ¥ +åĪĿ è¡· +大 åĶIJ +约 ä¼ļ +èĴ¸ åıij +çŃ¹ åĪĴ +å¹´ ç»Ī +è¡Į æ¥Ń +åħ± éĿĴ +åħ±éĿĴ åĽ¢ +ä¼ļ å¼ķèµ· +ä¸Ń ç§ij +ä¸Ńç§ij éĻ¢ +æĮ¯ åĬ¨ +åį´ åıijçİ° +ä¸įåĬ¨ 产 +èĮ ¹ +æĪ¿éĹ´ éĩĮ +è´§å¸ģ æĶ¿çŃĸ +æ²» çĻĤ +æħİ éĩį +å¡ŀ å°Ķ +åĽ½ ç±į +åĽł æŀľ +çŃī çī¹çĤ¹ +å±± è°· +ä¸ĭ è¼ī +è®ĵ æĪij +饮 éħĴ +è¿Ļ个 游æĪı +ç»Ŀ 大éĥ¨åĪĨ +åĴ¨è¯¢ æľįåĬ¡ +å¹² æ´» +è®® ä¼ļ +æ¦Ĥ è¿° +åĪĨ åĮº +æŃ» åIJİ +ç«Ļ çĿĢ +主è¦ģ é¢Ĩ导 +åIJĮ åŁİ +大 æłij +对 åѦçĶŁ +社ä¼ļ ä¿ĿéĻ© +å¢ŀ èµĦ +主人 åħ¬ +å®£ä¼ł æķĻèĤ² +æĸĩåĮĸ 交æµģ +客 æĪ¶ +çŁ¥åIJį åĵģçīĮ +æ»ŀ åIJİ +äºĴ è¡¥ +æĦŁ 人 +åī ¿ +åIJİ ä»£ +äºī 龸 +æķĻèĤ² åŁ¹è®Ń +éĿĻ èĦī +ä¹ı åĬĽ +说 åĩºæĿ¥ +çİĭèĢħ èį£èĢĢ +åĢ « +åįĩ èµ· +éķ ģ +åĩº 游 +éĢļè¡Į è¯ģ +å·¥ä½ľ å²Ĺä½į +åĮł å¿ĥ +æĭ¿ æĿ¥ +æ´Ĺè¡£ æľº +æĪijä¸į æĥ³ +é¢Ħ è§ģ +æ¼Ķ 示 +ä¸Ģ缴 没æľī +è·Ł 她 +对çħ§ æ£ĢæŁ¥ +ç° ¿ +ä¸ĵ å¿ĥ +è®® äºĭ +åīį 端 +åį¡ å°Ķ +è¨Ń å®ļ +设置 äºĨ +å©ļ 纱 +åľ¨ åĽ½å¤ĸ +åı³ 侧 +è³¼ çī© +å¥ĩ èij© +å¢ŀåĬł åĢ¼ +好 è¿IJ +åĽ½éĻħ æľºåľº +ä¸ĭ 称 +缮åīį 为æŃ¢ +ç¥ŀ ä»Ļ +å®ĥ åı¯ä»¥ +æ¾Ħ æ¸ħ +èĥ½ 使 +游 åĩ» +游åĩ» éĺŁ +åĩ ¹ +ä¸įè¦ģ åĨį +åĨ³ èĥľ +åĨ³ æĪĺ +æĭ ½ +缼 åħ¸ +å¾Ī好 åľ° +æľĢ ç¾İçļĦ +åĥ ļ +å·´ åŁº +å·´åŁº æĸ¯åĿ¦ +æľĢ éĢĤåIJĪ +é«ĺ èģĮ +ä¿Ŀ å§Ĩ +æİĪ æ¬Ĭ +说åĪ° è¿ĻéĩĮ +æݨ å¼Ģ +çİĩ è¾¾ +ä¸īåĪĨ ä¹ĭä¸Ģ +管çIJĨ ä¸Ńå¿ĥ +交 æ±ĩ +森æŀĹ åħ¬åĽŃ +å¾Ģ ä¸Ĭ +éªij è¡Į +æį® æѤ +纽 带 +ç» ŀ +ä¸ī æĸ¹ +æĦıä¹ī ä¸ĬçļĦ +æݨ è¿Ł +å¤ļæł· æĢ§ +æĥ³ èµ·äºĨ +æİĴåIJį 第 +å·¨ é¢Ŀ +æĿŁ ç¼ļ +å®ī å®ļ +äºĭ 實 +çļĦ æĦ¿æľĽ +è£ħå¤ĩ åĪ¶éĢł +人 å±ħ +人å±ħ çݯå¢ĥ +å¿ĺè®° äºĨ +该 游æĪı +楼 ä¸Ĭ +å¼Ģ ä¼ļ +æģ ³ +åıĭæĥħ éĵ¾æİ¥ +ç¡ Ĵ +ç»ĻäºĪ äºĨ +åģı 好 +åĵ ī +交éĢļ å®īåħ¨ +éĽ Į +æ²» çĹħ +è§īå¾Ĺ å¾Ī +衬 è¡« +å¿ĥ æĦ¿ +æ´ŀ å¯Ł +æ°ij æ£Ģå¯ŁéĻ¢ +æıIJ çĤ¼ +è¦ģ è¿Ľä¸ĢæŃ¥ +驾 车 +æĻ® æĥł +æķ ĸ +ç¦ı éŁ³ +éĢģ è¾¾ +è§ĦåĪĴ 设计 +æīĭ å¥Ĺ +å®ī ä¿Ŀ +è¿ĺä¸į å¦Ĥ +åīį è¿° +æłĩ è®° +ç´§ æİ¥çĿĢ +æ§ IJ +深深 åľ° +满满 çļĦ +æĺ¥ è¿IJ +æĹ¥ 产 +çĪ± æĬ¤ +åħ¨ æĹ¥ +åħ¨æĹ¥ åĪ¶ +转 åĬ¨ +ç¥Ń ç¥Ģ +ä¹° ä¸ľè¥¿ +对 æľªæĿ¥ +æ¶Ī失 äºĨ +åļ´ éĩį +ä¸ī æĿ¡ +éħ¸ 奶 +éĽĨåĽ¢ èĤ¡ä»½ +西 è·¯ +åıª å¾Ĺ +éĢģ åİ» +çĭł æĬĵ +åĪ©çĶ¨ çİĩ +ä¸ĭ åij¨ +å¥ĭ æĪĺ +æĺ¥èĬĤ æľŁéĹ´ +è´Ł 责任 +æĺĤ è´µ +å°¾ å·´ +ç¯ĩ æĸĩç«ł +åħ ® +è®Ĭ æĪIJ +å¹ ¹ +çĻ» éĮĦ +ä½ Ī +å·¥ åĮł +åĵªæĢķ æĺ¯ +åıį åĵį +ç§ ĥ +åĩº 轨 +æĹ¥ åĨĽ +åIJį èªī +æķı éĶIJ +æľįåĬ¡ æ°´å¹³ +çħ§ å°Ħ +ä¼Ĭ æĭī +ä¼Ĭæĭī åħĭ +åĨħ éĺģ +èĬĴ æŀľ +ä¸ĩ åĪĨ +éĢĢ 款 +缴æĴŃ éĹ´ +æĭ¿ åĪ°äºĨ +å°İ èĩ´ +空æ°Ķ ä¸Ń +客æĪ· æľįåĬ¡ +è¿IJ åĬ¿ +ç»ĵ çŁ³ +ä¸į å¿ħè¦ģçļĦ +èĥ¶ åĽĬ +çIJĨ ä¼ļ +æĬ½ åĩº +空æ°Ķ è´¨éĩı +æ¯ķ ç«Łæĺ¯ +åĨ· æ¼ł +ä¸Ģ å¦Ĥ +ä¸Ģå¦Ĥ æĹ¢ +ä¸Ģå¦ĤæĹ¢ å¾Ģ +æĤ£ çĹħ +åĬł æĮģ +èµŀ åĬ© +é« ® +åij½ ä¸Ń +æĦıä¹ī ä¸Ĭ +ä¸į èĪį +åģļ 梦 +æīĵ æī« +æĺŁ åħī +æĸŃ è£Ĥ +åħ¨ å¥Ĺ +è£ģ å®ļ +马 åħĭæĢĿ +骨 骼 +ä¸Ģ è·¯ä¸Ĭ +å®ļ æŶ +å·¥ç¨ĭ æĬĢæľ¯ +å½¼ å¾Ĺ +æ±² åıĸ +ä¸Ģ è§Ī +åIJµ æŀ¶ +ä¿Ĺ 称 +æłª æ´² +åºŁ æŧ +è¡Į æĺŁ +åıijçĶŁ åıĺåĮĸ +é¦ĸ ä»ĺ +åįģåĪĨ éĩįè¦ģ +æĬĬ è¿ĻäºĽ +ç¥ŀ å·ŀ +æıIJä¾Ľ åķĨ +æ¥ · +å± İ +çĬ¶ åħĥ +åŁİ å¢Ļ +çľĭ ä¸Ģçľĭ +çĶŁäº§ èĥ½åĬĽ +åŁºæľ¬ä¸Ĭ éĥ½ +æīĵ æī° +åĪĿ 次 +åĩº 示 +åħ¶ä¸Ń ä¸Ģ个 +çĶŁæĢģ ç³»ç»Ł +æīĭ æİĮ +æµİåįĹ å¸Ĥ +åľĭ åħ§ +æŃ£ åĢ¼ +å¹¾ ä¹İ +æݨèįIJ éĺħ读 +è¿Ń 代 +è°ĥ ä¾ĥ +饮 åĵģ +å¢Ļ ä½ĵ +åıĺ çİ° +äºĨ 好 +äºĨ好 åĩł +ä¸į çķĻ +çĪ ² +å°½ æĹ© +æŃ£åľ¨ è¿Ľè¡Į +åĩº éĻ¢ +æĿĢ 害 +æıIJ 款 +åıijå±ķ 空éĹ´ +åīį 身 +ä¸įæĸŃ å¢ŀ强 +æ·± å±Ĥ次 +容 纳 +éĤ£ 份 +å·¥ä½ľ æķĪçİĩ +æľ¬ åĽ½ +失 èIJ½ +æŃ£ åĽłä¸º +èĬĤ æ°´ +ä¸ĭ ä¸Ģ代 +çłĶåıij ä¸Ńå¿ĥ +ä¸į çIJĨ +å®Į 好 +ä¿ĿæĬ¤ åĮº +ç»ĵæŀĦ è°ĥæķ´ +å¥ł å®ļ +宣 称 +éĺ» æĮ¡ +æĴ¤ 离 +ä¸į æĸ¹ä¾¿ +åĴ ķ +ç¬ijäºĨ ç¬ij +çݯå¢ĥ 污æŁĵ +ä½ı æĪ· +ç»Ŀ ç¼ĺ +éĻ¤ å°ĺ +é«ĺ å°ļ +æĢİä¹Ī åı¯èĥ½ +éĿ¢ èī² +åķĨ æ¥Ń +çĸ ¹ +èµĦæºIJ ä¼ĺåĬ¿ +è¾ĸåĮº åĨħ +èĢĢ çľ¼ +æij§ æ¯ģ +ä¸ĸçķĮ ç»ıæµİ +å¼ķ æĿ¥ +ä¸Ģ åĪĻ +æĭĩ æĮĩ +æĬµ 御 +éĽ į +åĩĨå¤ĩ å·¥ä½ľ +çıł ä¸īè§Ĵ +ç¨Ģ åľŁ +èİ·å¾Ĺ æĦŁ +æĪIJåĬŁ çİĩ +ç½ij 约 +ç½ij约 车 +èĦ IJ +æķ¬ ä¸ļ +éĩij ä»· +ç²¾ é«ĵ +ä¹° 车 +åħ³ åı£ +åĨį å¤ļ +æŀģ åĵģ +åIJĦ 家 +举æĬ¥ çĶµè¯Ŀ +èļ Ĭ +æĸ¹ å½¢ +ç§ijæĬĢ æĪIJæŀľ +æľĢ好 æĺ¯ +éĹ® åĢĻ +红 éħĴ +åĽĽ ç§į +ç¿Ĵ æħ +ç¿Ĵæħ £ +åŀ ¦ +éĤ£ åıª +é¢Ĩ æĤŁ +çľ¼ éĥ¨ +æ³° å®ī +ä»» æľŁ +磨 æįŁ +æĽ¿ æį¢ +åħ¸ 礼 +符åIJĪ æĿ¡ä»¶ +è¿ĺæľī ä»Ģä¹Ī +åħ±äº« åįķ车 +åı¯ åĪĨ为 +åŃ£ åIJİ +åŃ£åIJİ èµĽ +举èİŀ å¸Ĥ +å¿ĥ æĦı +æīŃ æĽ² +ä½ľä¸º ä¸Ģç§į +è¿Ļ éĥ¨åĪĨ +åıĤä¸İ åĪ° +ç½ij çIJĥ +實 çı¾ +ç»Ħ è£ħ +åIJij å¤ĸ +å·¥ä½ľ æĸ¹æ¡Ī +åįģ æĿ¡ +課 ç¨ĭ +颤 æĬĸ +åĵ © +éĤ® å¯Ħ +äº ¢ +åħį è²» +ç§ ¤ +åºĶæĢ¥ 管çIJĨ +åĽĽ äºĶ +éºĴ éºŁ +å¾Ĵ æŃ¥ +è¨ĺ å¾Ĺ +çĴ IJ +æĺ¯åIJ¦ ä¼ļ +æĦıè§ģ åıįé¦Ī +éļ¾ æĢª +çª į +交 æİ¥ +两 åįĥ +æĩī çĶ¨ +æľŁ éĸĵ +æIJ¬ åĪ° +è®® é¢ĺ +碧 æ¡Ĥ +碧æ¡Ĥ åĽŃ +åģļ çĶŁæĦı +éĻĽ ä¸ĭ +è· ĭ +èĢģ人 家 +带 åĽŀ +æŀ¸ æĿŀ +è¡Į éķ¿ +åĨħ容 ç®Ģä»ĭ +æ¢ ¢ +æĮĩ æݧ +éĩį çĹĩ +ç½ijåıĭ 们 +çı¾ 代 +ç±» 产åĵģ +å¥Ķ æ³¢ +æ¸ º +ç²ī ç¢İ +è¿Ļ åıªæĺ¯ +æ£Ģå¯Ł æľºåħ³ +é½ Ĭ +æĪ¿ 秣 +å¾· æĭī +å²ģ 以ä¸Ĭ +纯 åĩĢ +åĪĨå¸ĥ åľ¨ +èĥ½ å¾ĹåĪ° +ä¸į å°½ +ç«ŀ ä»· +çļĦ 带é¢Ĩ +çļĦ带é¢Ĩ ä¸ĭ +ä¸Ńèį¯ æĿIJ +æĿij éķĩ +ä¸įåı¯ éģ¿åħį +éľ² 天 +å°ı å§ijå¨ĺ +çī© 件 +èijĹä½ľ æĿĥ +æĭĺ çķĻ +éĥ½ è§īå¾Ĺ +æĽ² æĬĺ +æ·»åĬł åīĤ +åı¬ åĽŀ +æīİå®ŀ æİ¨è¿Ľ +æĬĦ è¢Ń +åĮĸ 身 +缴 èIJ¥ +ä¹Ł å¸ĮæľĽ +èį£èªī 称åı· +åįĸ ç»Ļ +æľī ä¸įåIJĮçļĦ +å¥ĩ çī¹ +éĥ½ 认为 +å¦ ŀ +æĪIJéķ¿ 为 +辩 æĬ¤ +主 æķĻç»ĥ +æ³ķå¸Ī èģĮä¸ļ +æ¤į åħ¥ +ç´¢ å°¼ +åIJ¬ è¿ĩ +ä¹łæĥ¯ äºĨ +夺 åıĸ +éŁ ĵ +æľ¬è´¨ ä¸Ĭ +æİ¥ åĬĽ +äºij 端 +è¦ģ åģļ好 +è·¯ çģ¯ +åįıåIJĮ åıijå±ķ +æľī å¾ħ +æ°´ åŁŁ +æIJľçĭIJ é¦ĸ页 +è´¨éĩı å®īåħ¨ +åįģäºĮ äºĶ +åĵ® åĸĺ +èĵ¬åĭĥ åıijå±ķ +åIJį 声 +身 亡 +çİĭ åºľ +åİŁåĪĻ ä¸Ĭ +çĥĺ å¹² +éģĹ æ¼ı +éĿ¢ 缮 +åĽ½ ä¼ļ +ä¸Ģ缴 éĥ½æĺ¯ +æľīä¸Ģ ä½į +éħį æľī +éĻª çĿĢ +ä¼ģ åĽ¾ +æĮī ä¸ĭ +èĵĿ åĽ¾ +æ© ĺ +大å¤ļ æĺ¯ +辩 论 +æĹĭ å¾ĭ +æĬ¥ éĢģ +æĿ¡ è§Ħå®ļ +åĬ¨ éĿĻ +åĮĪ 奴 +æĭľ 访 +ä¸Ģ åĪĢ +ä»ĸ çŁ¥éģĵ +主 æĿĥ +ä»ĸ æĽ¾ +æĴŃ ç§į +å£ģ åŀĴ +çī¢è®° 使åij½ +åľ¨è¿Ļ æĸ¹éĿ¢ +æīĭ èħķ +æĶ¯ æŀ¶ +ä¾Ĩ èĩª +éĩį å¡ij +å¤ļ å±Ĥ次 +ä»ĭ è´¨ +éĿ¢ åŃĶ +æ½® 湿 +åİ¿ åŁŁ +游æĪı å½ĵä¸Ń +å£ ŀ +åĪĹ åĩº +èµĽ åĮº +å¤ļ åįĬ +éĩįçĤ¹ å·¥ä½ľ +æĪij们 å¿ħé¡» +æŁı æŀĹ +é²ģ èĥ½ +æĸ½ å±ķ +åIJĦ åĮº +åħį ç¨İ +èµĽ åIJİ +æľĢ éĩįè¦ģ +ä¸Ģ个 好çļĦ +è¿Ŀæ³ķ è¿Ŀè§Ħ +äºĨ解 æĽ´å¤ļ +æķ¬ 请 +ç¬ijçĿĢ 说 +ä¸įæĸŃ åıijå±ķ +æijĦå½± å¸Ī +以 éĺ² +çĤ¸ å¼¹ +声 åĵį +ç¤ ģ +æĩ ¿ +èĪĨ æĥħ +èĩªçĶ± è´¸æĺĵ +æķı æį· +ä¸ī大 éĺ¶æ®µ +èĭ Ķ +æĹº åŃ£ +ä¸į 满æĦı +微信 åı· +ä¿® 为 +çł´ è£Ĥ +éĢĥ 离 +æ¯ı èĤ¡ +è¾¾ ä¸įåĪ° +æ¯ıå¹´ éĥ½ +çģ¯ 笼 +æѤ åŁºç¡Ģä¸Ĭ +åĥı 个 +åĪĨ 娩 +æĻ ¾ +ä¸į èĩ³äºİ +红 线 +误 解 +举 è·¯ +æ·® å®ī +产 åѦ +产åѦ çłĶ +èī¾ æ»ĭ +èī¾æ»ĭ çĹħ +åīįæıIJ æĺ¯ +æ¯ı ä¸Ģ天 +ä¸ĥ 大 +æłij åı¶ +èµ° å¾Ĺ +è¿Ļ 两ç§į +æİı åĩº +æİ IJ +é¢Ĩ导 èĢħ +ä¸Ģ æľµ +个å¤ļ æľĪ +ä¸Ń åħ³ +ä¸Ńåħ³ æĿij +课åłĤ æķĻåѦ +大 åĴĸ +éģĭ çĶ¨ +è¯ļ æĦı +ç»Ħ åĽ¾ +è¯ķ çĿĢ +ä¹Ķ æ²» +è¿ĺ ä¸įæĺ¯ +æľī æĽ´å¥½çļĦ +åIJİ å¤ĩ +æĸ°çĶŁ åĦ¿ +æ°Ķ è¡Ģ +æ²¥ éĿĴ +å±ı éļľ +æ¥Ń åĭĻ +æĪij 以为 +éķ¿ 缸 +èĢģ çĪ¸ +éķĩ æ±Ł +æľºæ¢° 设å¤ĩ +ä½Ĩæĺ¯ å¦Ĥæŀľ +åĿļå®ļ ä¸į +åĿļå®ļä¸į 移 +åĨ² éĶĭ +ç®Ģ缴 æĺ¯ +åĤ¨ èĵĦ +纯 çĶµåĬ¨ +漫 æŃ¥ +举 èµ· +æģ¶ æĢ§ +è¨ĺ éĮĦ +èģĮèĥ½ éĥ¨éŨ +åħ¨ éķ¿ +鼻 è¦ĸ +ä¹³ èħº +ä½ķ å¤Ħ +æ¶Ī æŀģ +æŃ£ å¤Ħäºİ +å®ī å®ģ +æĪIJ éķ· +åıĻ è¿° +æºĥ çĸ¡ +ä½Ĩ çİ°åľ¨ +女 æĺŁ +å©´ å¹¼åĦ¿ +æĬķ èŀįèµĦ +éĹ® éĹ® +æıŃ å¼Ģ +è¯ ı +åIJį å½ķ +èĺij èıĩ +åIJĬ 顶 +æ¹ĸ åĮº +åįĸ åľº +建 ç¯ +å»ºç¯ ī +èİ ½ +åIJ¬ åIJ¬ +ç«ŀäºī ä¼ĺåĬ¿ +åĩº ä»» +æľī 两ç§į +橱 æŁľ +è¤ ª +è¯ķ åį· +ç»ıæµİ æĬĢæľ¯ +æ·± å±Ĥ +éĩįè¦ģ åĨħ容 +é£İ æݧ +çĬ¶æĢģ ä¸ĭ +éĥ¨ éĸĢ +广 æ±½ +è§Ĥ æij© +éģĹ çķĻ +转 è´¦ +æĮģ ä»ĵ +æĢ» 计 +åľĺ éļĬ +æĪ¿ 举 +éĺĢ éŨ +åħ¬ åħ³ +åħ³ åĪĩ +èĤ ĺ +æķ¸ æĵļ +ä¸ī åįģå¹´ +è§ģè¯ģ äºĨ +å± Ĩ +çģ° å°ĺ +æ¦ľ é¦ĸ +è¦ĨçĽĸ çİĩ +ä»Ļ 女 +çĶŁäº§ æĢ» +çĶŁäº§æĢ» åĢ¼ +æĪ¿ è´· +æ±Ł åĮº +åħħçĶµ æ¡© +çĻ¾ åIJĪ +確 èªį +转 移åĪ° +éĥ½ æĹłæ³ķ +纪念 é¦Ĩ +çŃ¾ç½² äºĨ +并ä¸į å¤ļ +æĮ ł +ä¸į太 好 +ä¸ĸ 代 +误 导 +é«ĺå³° 论åĿĽ +åħ¼ 容 +龸 æ°Ķ +æĿ¥ 访 +æīĢ 带æĿ¥çļĦ +æĺ¯ä¸Ģ éĥ¨ +æĻļ é¥Ń +åİĨ 代 +åIJ¦ åīĩ +ä¹ħ ä¹ħ +æľīæķĪ æľŁ +诱 åıij +æĢ» èµĦ产 +æľ¬èº« å°±æĺ¯ +çĶŁäº§ åİĤ家 +æŶ 髦 +èĢIJ çĶ¨ +ä»İå°ı å°± +æĿ¡ 约 +èĭ± åĭĩ +ä¿Ĺ è¯Ŀ说 +寺 åºĻ +å¿ĥçIJĨ åģ¥åº· +ä»Ģä¹Ī äºĭæĥħ +æ±ī åŃĹ +çķĻ ä½ı +åįĹ è·¯ +ä¸ī 项 +丢 äºĨ +æĥ³ åĪ°äºĨ +çŃ¹ éĽĨ +éĻĦåĬł åĢ¼ +西 è£ħ +ä¹ĭ ä½ľ +åģļçļĦ äºĭ +çķ¶ æĤ¨ +çķ¶æĤ¨ åľ¨ +é¦ĸ 款 +ä¸įåľ¨ ä¹İ +å·¥ç¨ĭ æĸ½å·¥ +éļIJ éļIJ +åıĺ 身 +沿 éĢĶ +æĤł æĤł +ä¿Ŀ æļĸ +çĶŁæ´» åŀĥåľ¾ +渤 æµ· +æѦ ä¾ł +女 主è§Ĵ +举 ä¾ĭ +æ ·¨ +çĻ½ é¢Ĩ +è£Ļ åŃIJ +è¿Ķ è¿ĺ +è¿Ī åĩº +é¾Ļ éŨ +ç»ıæµİ ä½ĵ +æĶ¶ å®ĺ +çķĮ éĻIJ +è·³ åĩº +åįĩ åĢ¼ +绵 éĺ³ +çĸ¤ çĹķ +çľĭ æ¸ħ +æĭĴ çµķ +è¥Ħ éĺ³ +课 å¤ĸ +åŃIJ åŃĻ +æŃĮ è¯į +æĪIJ åIJį +溶 液 +åĦĴ 家 +åķĨä¸ļ åĮĸ +辨 åĪ« +å¤ļ è¾¾ +ç½ij åºĹ +ä¹Ŀ 大 +ä¹Ŀ大 ç²¾ç¥ŀ +æѤ 举 +è¿ŀ è½½ +ä¸Ģ åĢĭ人 +èī² æ³½ +涵çĽĸ äºĨ +è¦ı åĬĥ +åĽ½ æĥħ +åį«çĶŁ åģ¥åº· +积æŀģ åĵįåºĶ +æĭ Ļ +åĪ¶ åĬ¨ +æĥ³è±¡ åĬĽ +çļĦ ä¹IJ趣 +å¼łå®¶ çķĮ +å´ İ +éĩį åŀĭ +å¤ĸ å¢Ļ +æĶ¾ åѦ +è®¤çľŁ åŃ¦ä¹ł +è´¬ åĢ¼ +æ³ķ æ¡Ī +æĬ¤èĤ¤ åĵģ +éĻ·åħ¥ äºĨ +请 æĤ¨ +åŀ ¢ +æķĻèĤ² èµĦæºIJ +交æĺĵ å¹³åı° +æŶ è£ħ +ä¼łæŁĵ çĹħ +æ¹ĸ æ³Ĭ +èµĦ 管 +åݨ å¸Ī +éĹľ éį +éĹľéį µ +åĵĪåĵĪ åĵĪ +çĽĹ çªĥ +çĶľ ç¾İ +åºĦ åĽŃ +缮åīį å·²ç»ı +è¾¹ ä¸Ĭ +çģ« èĬ± +æĬ¥ è®°èĢħ +æģĭ æĥħ +ç´§ åĩij +æ°´ æµģ +è¿Ļæĺ¯ æĪij们 +æ³¥ åľŁ +æĽ¾ ä»» +æĸ¹ è¨Ģ +åij¨ åħŃ +åı· 楼 +ä¼ij åģĩ +误 ä¼ļ +åĽ½ åĢº +åīį å¤ķ +两 å¼ł +éĹ « +éŃĶ 鬼 +æĬĬ æĮģ +èĬĤèĥ½ çݯä¿Ŀ +æ¸ħæ´ģ èĥ½æºIJ +èĤ¥ æĸĻ +é«ĺ é¢ij +å°± æľīäºĨ +交 ä¼ļ +没 éĴ± +éĽħ æĢĿ +è¦ģ åıĬæŶ +åŁ¹åħ» åѦçĶŁ +欣 åĸľ +çĥŃæ°´ åĻ¨ +é¾Ļ æ¹ĸ +äºĮ 楼 +æĸ°æµª è´¢ç»ı +æĸ° åĬ¨èĥ½ +èµ£ å·ŀ +æĭ³ 头 +æµģ åIJij +ä¹Łæĺ¯ å¾Ī +åıij åĶ® +ä¸Ń åIJ«æľī +åIJĵ å¾Ĺ +å·¨ æĺŁ +æĹł æīĢè°ĵ +æ¯Ľ åŃĶ +åħ¬åħ± 交éĢļ +çĤİ çĥŃ +èµ· èįī +åĬłçĽŁ åķĨ +说 ä¸įåĩº +大åѦ æ¯ķä¸ļ +å·¥ä¸ļ åĽŃ +éłĺ åŁŁ +åºĨ åħ¸ +æµģ 产 +èģ² éŁ³ +ä¼¼ä¹İ æĺ¯ +è´§ æºIJ +æ·± åĪĩ +æ²»çĸĹ æĸ¹æ³ķ +èµĦæºIJ éħįç½® +網 åıĭ +çĶ £ +äº ¥ +躲 åľ¨ +社 ç§ij +è»Ł é«Ķ +女 è£ħ +æŃ¡ è¿İ +综åIJĪ å®ŀåĬĽ +æł¼ å°ĩ +åħļåı² åŃ¦ä¹ł +æľĢ åŁºæľ¬ +æľĢåŁºæľ¬ çļĦ +çľĭ æľĽ +åıĹ è´¿ +ä¸įä»ħ èĥ½ +ä½ķ å¿ħ +ä¸Ģ个 å°ıæŶ +ç¾ Į +æĭĽ æĶ¶ +çĤĴ èĤ¡ +æĿij å¹²éĥ¨ +缸 çĪ± +æ½ľ èĥ½ +ä¹ į +æŶ è¾° +欣 æħ° +éĵ¶ è¡Įä¸ļ +çĭŃ çªĦ +éĩįçĤ¹ é¢ĨåŁŁ +çİ°å®ŀ çĶŁæ´» +éĮ¯ 誤 +æĸ° è§Ħ +滥 çĶ¨ +æŶ ä¸į +æŶä¸į æŶ +帳 èĻŁ +ç¨Ģ 缺 +åIJij 举 +ä¿Ŀåģ¥ åĵģ +çıŃ éķ¿ +äºĴ åĭķ +笼 罩 +æ½ Ľ +æļĸ å¿ĥ +è½° çĤ¸ +åºĨ 幸 +è²Į ä¼¼ +æĵ º +èĢIJ 磨 +ä¸ĵä¸ļ 人士 +ä¸ĢèĪ¬ éĥ½æĺ¯ +æ¼³ å·ŀ +åħ¨ èĩªåĬ¨ +å½ķ çĶ¨ +大 è·Į +æľīæķĪ æĢ§ +èĩª åĭķ +ä¸ī个 æĸ¹éĿ¢ +港 åĮº +ä¿¡ 貸 +éĢļ è¯Ŀ +é«ĺ 涨 +æ³Ħ æ¼ı +éħį ä¸Ĭ +åħļ å·¥å§Ķ +被 认为 +被认为 æĺ¯ +ä¸įä¼ļ åĨį +è°ĥ åīĤ +åıĤ èĤ¡ +èĦ± åıij +å¿ł å®ŀ +åĨħ åĪĨæ³Į +ç¹ģ å¿Ļ +åıĮ åĪĽ +é©» æĿij +åĪĴ ç®Ĺ +éģİ ä¾Ĩ +åľ£ ç»ı +èıľ 鸣 +æĭ¼ å¤ļå¤ļ +ä¸ŃåĽ½ 汽车 +çĥŁ èįī +缴 æµģ +äºĨä¸Ģ åı£æ°Ķ +ä½İ æĪIJæľ¬ +æī¾ åĽŀ +èĩª åįij +總 æĺ¯ +æĸĩåĮĸ åĪĽæĦı +天 æ²³ +樱 æ¡ĥ +éªij åħµ +éĩĮéĿ¢ æľī +çİ ® +èĥ½ æī¾åĪ° +éĢĥ è·ij +åĪĩ å°Ķ +åĪĩå°Ķ 西 +以ä¸ĭ æĺ¯ +å²³ éĺ³ +çļĦ æ¦Ĥçİĩ +æĬµ åĪ¶ +å¸Ī äºĭåĬ¡ +å¸ĪäºĭåĬ¡ æīĢ +åĩĨ æŶ +屬 æĸ¼ +订 è´Ń +åįłæį® äºĨ +ä¸Ń éĢĶ +å° ĭ +é»ij 马 +åİ¿ åħ¬å®īå±Ģ +ä¸ĥ æľĪ +èī² ç´ł +å¿ĥèĦı çĹħ +æŶ éĻIJ +æ¯į åħ¬åı¸ +å¹ķ åIJİ +ä¸Ĭ æ¦ľ +åĢ¾åIJij äºİ +纸 ä¸Ĭ +æ¡ ĵ +éĽĨä½ĵ ç»ıæµİ +æĥħ å¢ĥ +è¦ģ åģļåĪ° +ç©į 極 +åıª æĢķ +æ¹ĺ 西 +çļ± 纹 +åħ¨ åľĭ +çĦ¡ è«ĸ +好 æĦŁ +åįķ ä»· +è¿Ľç¨ĭ ä¸Ń +æĺĨ ä»ij +åĪĽ 客 +åħħ æĸ¥ +åħĪ æĬĬ +该 æĢİä¹ĪåĬŀ +åĵģ å¾· +åħ¨éĿ¢ åıijå±ķ +è¨Ī åĬĥ +æĢ» å·¥ä¼ļ +ä½Ľå±± å¸Ĥ +æĬĹ è¡¡ +å¼Ģ åľº +éĴ± å¸ģ +åıĭ 们 +å«ī å¦Ĵ +ç´¢ èµĶ +è®Ĭ åĮĸ +æĮ¤ åİĭ +æĮij è¡ħ +çŃī ä¸Ģæī¹ +æĿ¨ 欢 +ä¸ĵ家 åѦèĢħ +èĥ½ è¾¾åĪ° +èµ° è¿ij +è´«åĽ° åľ°åĮº +éĻIJ æľŁ +ä¸į 平衡 +åĽ½åĨħ å¸Ĥåľº +èµĽ åľº +éħį èµĦ +è¦ģ èĢĥèĻij +ä¸ĩ åı° +æľĪ æľ« +éĶ ¥ +åŃ « +æݥ触 åĪ° +åĩº 产 +æķĻ åѸ +ä½ľ å¼Ĭ +çļĦ æľĢåIJİä¸Ģ +ä¿ĥ æĪIJ +åIJ¸ åıĸ +æ½ľ èīĩ +被 éªĹ +è¾ĵ äºĨ +çĭIJ çĭ¸ +åįĩ éĻį +è¿ĻäºĽ ä¸ľè¥¿ +æĬķèµĦ åŁºéĩij +çĶŁçī© åѦ +ç½ij绾 èIJ¥éĶĢ +åIJij è®°èĢħ +èįī åľ° +æĢ ¯ +æľįåĬ¡ èĥ½åĬĽ +éĥģ éĹ· +åįķ åĵģ +å¾Ĺ 罪 +æĺĵ äºİ +个å¤ļ å°ıæŶ +éĩį ä»» +ä¸Ĭ å®ĺ +æľ¬ éĩij +çı¾ åł´ +溢 ä»· +æĺŁ è¾° +æ´»åĬ¨ çİ°åľº +丹 麦 +å¸Ŀ çİĭ +æŁ¥ æĺİ +åŃĺåľ¨ äºİ +é¦Ļ æ°´ +æĬ½ æ£Ģ +å®ŀéĻħä¸Ĭ æĺ¯ +æĸ° å¾ģç¨ĭ +è´¢åĬ¡ 管çIJĨ +æİ Ľ +åĨľ åİĨ +éĥ½ èĥ½å¤Ł +éĤ¯ éĥ¸ +羣 實 +ç» Ĭ +åĨµ ä¸Ķ +ç½® 身 +ç¥Ī 祷 +çĿģ å¼Ģ +æĮĩ çĤ¹ +å¼Ģ æľº +西 å®ģ +åĮĹ çº¦ +积 æ°´ +åĩº åĬ¨ +åıijå±ķ 模å¼ı +转 æĬĺ +èĢĥ çĤ¹ +æľī ç½ijåıĭ +è´«åĽ° æĿij +æĪij们 çŁ¥éģĵ +åĪĨ éĶĢ +å±± èĦī +æ¯Ķ æĭŁ +ä¼° ç®Ĺ +æĶ¹ 建 +壮 è§Ĥ +ç§ī æĮģ +æı ª +ç¦ Ģ +åĮĸåѦ åĵģ +ä¸ŃåĽ½ åĪ¶éĢł +ä¸Ģ æŀ¶ +æīį è¡Į +æĭĽ å¾ħ +åıĺ æį¢ +åīį 线 +幸 好 +è¿Ļæł· çļĦè¯Ŀ +å¿ĥ è¡Ģ管 +æĢ§ çĸ¾çĹħ +åħ¨ èĥ½ +åĪij 侦 +ä¿¡æģ¯ åıijå¸ĥ +æĺ¾ çĦ¶æĺ¯ +éĿĴ éĵľ +åIJĥ ä»Ģä¹Ī +çĶµ ä»· +æ³ķå¾ĭ è§Ħå®ļ +çħ ² +çĵ· åĻ¨ +èĤī ç±» +æıĴ åħ¥ +åĹ ľ +è¿Ł è¿Ł +ä¸ĢçĤ¹ éĥ½ä¸į +è¿ĺ åĮħæĭ¬ +èĪį ä¸įå¾Ĺ +æłĩå¿Ĺ æĢ§ +æľĪ 以æĿ¥ +ç³ĸ æŀľ +éĥ½ åºĶ该 +çݯå¢ĥ åį«çĶŁ +èĪª è¡Į +éĥij éĩį +ç½ij æĬķ +åįģ ä½³ +ç§ģ ä¸ĭ +æļ´ è·Į +åĬłå¿« åıijå±ķ +产åĵģ çłĶåıij +åĪĽéĢł åĩº +æĢ» è§īå¾Ĺ +åºķ çĽĺ +èķ Ĭ +åĩºå¸Ń ä¼ļè®® +主 æĿ¿ +æĹ¥æĻļ éĹ´ +å®ĺæĸ¹ å¾®åįļ +å¼ķçĶ¨ æĹ¥æľŁ +åī¯ æķĻæİĪ +çĶµåŃIJ 产åĵģ +è¡° éĢĢ +çķĻ åŃĺ +çģ« åĬĽ +çĴ § +çļ Ĥ +åħ¼ åħ· +éĩį è¿Ķ +é¢Ĩ çķ¥ +åĪĩ éĻ¤ +åĨįçĶŁ èĥ½æºIJ +å®ŀåľ¨ 太 +çIJĨ论 ä¸Ĭ +ä¸ī å±Ĥ +ä¸ĸçķĮ åIJĦåĽ½ +å®ľ æĺĮ +èĢ³ è¾¹ +宽 æķŀ +æ±ī æĹı +çĻ½ çĻ½ +è¿ĻéĩĮ éĿ¢ +çĶŁæ´» ä¹łæĥ¯ +èµŀ èµı +çĶ· 士 +ä¸Ń ä¿Ħ +车 祸 +åīĤ éĩı +éĻ¤ åİ» +å·¦ è¾¹ +çŃij çī¢ +çīĽ å¸Ĥ +家 åĬ¡ +åķ ĥ +ç½® æį¢ +ç´« å¤ĸ +ç´«å¤ĸ 线 +å¾Ģ åīį +åĬĽ åѦ +ç´§ è·Ł +缮çļĦ åľ¨äºİ +ç» ® +ç¥ Ĥ +宣 è¨Ģ +äºĮ æ°§åĮĸ +äºĮæ°§åĮĸ 碳 +æĹł ç¼ĺ +ç²¾ éĢļ +è¨ º +å¼ķåıij äºĨ +æľĢ åħĪ +æ´¾ é©» +ä¸į å¿į +æĪij çĪ¸ +å¹´ ä¸ĭåįĬå¹´ +æ·ĭ å·´ +没 éĹ®é¢ĺ +åºĹ åĨħ +è·Ł æĪij说 +çĶŁäº§ çĶŁæ´» +è§Ĥ æľĽ +æ¸ į +被 æī§è¡Į +被æī§è¡Į 人 +èĪ ľ +æİ º +ä¸Ģ ç§Ĵ +èįī åĿª +åij¼ åĴĮ +åij¼åĴĮ 浩 +åij¼åĴĮ浩 çī¹ +人æ°ij éĵ¶è¡Į +çĦķ åıij +è¯ģåĪ¸ 交æĺĵ +çķ Ķ +æľº èĥ½ +å¦ ¾ +æĻļ å¹´ +å·¥åķĨ èģĶ +åİŁ åŀĭ +è§Ĵ度 çľĭ +æĬ¥ 社 +è¯į æĿ¡ +躲 éģ¿ +éĩį åIJ¯ +å¤ķ éĺ³ +èĤ¡æĿĥ 转让 +åľ¨ ä¸Ģ +åľ¨ä¸Ģ æĹģ +社ä¼ļ åĮĸ +åıijå±ķ åİĨç¨ĭ +æĭĸ æ¬ł +使 èĢħ +ä¸İ åIJ¦ +æĸ° å±ĢéĿ¢ +ä»Ĭ天 æĪij们 +é½IJ èģļ +对 æĪij说 +éĢĴ 交 +æľª æĽ¾ +èİ Ĭ +éĸ ī +亲 æīĭ +è§Ĵ éĢIJ +æľī é»ŀ +ç¨İ çİĩ +ä½İ 声 +é»ĺ å¥ij +æĻ® æ³ķ +大 ä¸ĵ +第äºĮ 大 +ä½ı åĿĢ +æĶ¾ è¿Ľ +äºĮ æĪĺ +亲 身 +åĽº åĮĸ +ä¸ĭ 乡 +åħ³éĶ® æĬĢæľ¯ +åĽŀ æĥ³ +æĬ¥ åĪĬ +æ¶Ĥ æĬ¹ +èĹı çĿĢ +ç¥Ŀ æĦ¿ +åįĩ 温 +çĶļèĩ³ è¿ŀ +åħ¬åħĥ åīį +ç¾İ æĸ¹ +è¯ļ å®ŀ +æĹł åģ¿ +åīµ æ¥Ń +å°ıå¿ĥ 翼 +å°ıå¿ĥ翼 翼 +两 æīĭ +温馨 æıIJ示 +仿 羣 +æĥ ¶ +èĥ¡ åŃIJ +å·¥ä½ľ ç«Ļ +硬 çĽĺ +ç« ¿ +åĤ³ éĢģ +åħ¨ æł¡ +é²ľ æ´» +çĴĢ çĴ¨ +ç»ĵ å°¾ +æį¢ æĿ¥ +æĪ Ģ +ä½İ ä½į +ä¸ĩåħĥ 以ä¸Ĭ +åĬł åĪĨ +æݨä»ĭ ä¼ļ +çIJĨ èµĶ +å¾· å°Ķ +æĬĹ è®® +æ´ ¼ +åĸ § +åŁİ éĻħ +å¾Ī æ£Ĵ +人 æŃ»äº¡ +ä¼ļå±ķ ä¸Ńå¿ĥ +äºĴèģĶ äºĴéĢļ +èĸĦ èĨľ +éĩį é»ŀ +ç¦ģ æ¯Ĵ +åĨ· ç¬ij +大家 åı¯ä»¥ +é¦ĸ 缸 +è¿ij è·Ŀ离 +æµ® çİ° +ç§ĺ è¯Ģ +èµ· é£ŀ +æIJ ¶ +羣 åģĩ +æģ ķ +å°ı åºĹ +æ°ij çľ¾ +åıijå¸ĥ åħ¬åijĬ +侧 éĩį +å¾ĺ å¾Ĭ +æĢ Ķ +æª IJ +æķ° 缮 +åī¯ ç§ĺ书éķ¿ +两 åı¥ +éļIJ çŀĴ +åıĮ åıĮ +æīĭ æĦŁ +èij¡ 京 +éģĹ å¿ĺ +é¬ ¥ +è¿Ļ个 åľ°æĸ¹ +说 çļĦè¯Ŀ +å·¡ åĽŀ +è¿Ŀ ç«ł +æī¾ å·¥ä½ľ +æĶ¯ çIJĥéĺŁ +裡 éĿ¢ +æĺ¾ç¤º åĩº +èĩ³ å°Ĭ +两 级 +åīį 段æŶéĹ´ +çĺ¦ èº« +èĤ¢ ä½ĵ +æ¯į 親 +æīĭç»Ń è´¹ +汽车 è¡Įä¸ļ +æİ© çĽĸ +æݧèĤ¡ éĽĨåĽ¢ +åı£ å¾Ħ +æĶ¿çŃĸ æݪæĸ½ +æµ· 绵 +åħ¨ éķĩ +äºĭ åħ³ +å¸Ń æī§è¡Į +å¸Ńæī§è¡Į å®ĺ +éĤ£ 次 +åı¯èĥ½ åĩºçİ° +ä¸Ńå¿ĥ åŁİå¸Ĥ +ç¿» 身 +ä¹Ł ç®Ĺ +ä¾µ çķ¥ +åĸĩ åıŃ +æ¯ı次 éĥ½ +è§ ħ +éĻ¢ éĻ¢éķ¿ +å§ĭ äºİ +èѦ åĬ¡ +èį¯ æĿIJ +å±ł æĿĢ +æľ¬èº« å°± +éļıæŶ éļı +éļıæŶéļı åľ° +åĶ® åįĸ +æĹłäºº 驾驶 +é¢ ħ +åĵģ 質 +åĺ² ç¬ij +è·ij åİ» +åħĭ éĩĮæĸ¯ +çķ¸ å½¢ +ä¿® 饰 +磩 éĺµ +éŁ³ä¹IJ ä¼ļ +æŁ³ å·ŀ +é½ ¡ +ä¼ļ è°Ī +æŃ£ çīĪ +ä¹Ł åIJĮæł· +æļ§ æĺ§ +è¡ĮæĶ¿ éĥ¨éŨ +ä¹ĸ ä¹ĸ +èĤ¤ èī² +æŶ ä»» +羣 åĪĩ +æľĪ ä¸ĭ +æľĪä¸ĭ æŬ +举æĸ¹ è´¢å¯Į +è£ħä¿® åħ¬åı¸ +éĢĢ è¿ĺ +åĭĺ å¯Ł +åĵ¥ 伦 +åĵ¥ä¼¦ æ¯Ķäºļ +çĭ¬ ä¸Ģ +çĭ¬ä¸Ģ æĹł +çĭ¬ä¸ĢæĹł äºĮ +è°ĥ åij³ +åİĭ è¿« +åħ¨çIJĥ æľĢ大 +åī¯ æł¡éķ¿ +æĽ´ ä½İ +åĪĨéĴŁ åIJİ +åĽŀ ä¾Ĩ +åĪ¶ åīĤ +åijĬè¯ī 大家 +çĤ¹ éĴŁ +åįģä¸ī å±Ĭ +åij¨ åĽĽ +è¿Ļæł· ä¸Ģ +è¿Ļæł·ä¸Ģ æĿ¥ +èĭ Ł +æľĽ åİ» +æĪIJ è¯Ń +å½ĵ åį³ +ç¬ij 声 +ä¹ĭ åĬ¿ +åĪijäºĭ æ¡Ī件 +æĮĤ çĿĢ +ä½ķ ç§į +å°ı 游æĪı +åĽ½å®¶ æĪĺçķ¥ +åĨ· åĨ· +å®ľ 宾 +æIJº ç¨ĭ +è¶ĭ äºİ +åıį çľģ +常 说 +ä¸ĩ æĪ· +åĥµ å°¸ +åįĥä¸ĩ åĪ« +åıijçİ° éĹ®é¢ĺ +åı¯ çŁ¥ +éŨæĪ· ç½ijç«Ļ +åģ¥åº· 产ä¸ļ +åı³ è¾¹ +æµ· è¿IJ +è¿ij ä¹İ +åĮ» æ²» +æĢ» ç®Ĺ +ä¸Ģ åĪĨéĴŁ +æĭ § +ä¹Ł æľīä¸ĢäºĽ +ä¾ĽçĶµ åħ¬åı¸ +å»ī ä»· +帮 ä»ĸ +æŃ¤æ¬¡ æ´»åĬ¨ +åıªèĥ½ 说 +èĬ ĭ +çīĩ 段 +åŃĺåľ¨ éĹ®é¢ĺ +ä½łä¼ļ åıijçİ° +è½® å»ĵ +ç½ij éĢļ +滨 æ±Ł +æİĪ ä¿¡ +é»İ æĺİ +ä¸į å±ŀäºİ +约 åįł +éķ¿æ²Ļ å¸Ĥ +èĥļ èĥİ +åħĥ 件 +éĻĨ åĨĽ +è³¼ è²· +æĮĩ æľĽ +å®ŀä¹ł çĶŁ +çī¹çĤ¹ æĺ¯ +çıł æ±Ł +çľĭ ä¸įåĩº +ä¸įè§ģ äºĨ +ç¼ ī +éĺµ èIJ¥ +åĶIJ æľĿ +没 å¿ħè¦ģ +åĽ½åľŁ èµĦæºIJ +ç»ıæµİåѦ 家 +åIJĪèĤ¥ å¸Ĥ +çIJ¢ 磨 +ç¡® åĪĩ +åŁİå¸Ĥ åıijå±ķ +çŃ· åŃIJ +人æ°ij æľįåĬ¡ +满 åĪĨ +è¿· ä¿¡ +ä½ľèĢħ æľ¬äºº +æĸĩç«ł æĿ¥æºIJ +ç«Ļ ç«ĭ +æŀĦ æĪIJäºĨ +è¾Ľ åĭ¤ +è¶ħ 强 +éĶ ļ +åīįä¸ī åŃ£åº¦ +å°± è§īå¾Ĺ +å´ĩ é«ĺ +è¶Ĭ ä¾Ĩ +è¶Ĭä¾Ĩ è¶Ĭ +å¸Ĥåľº èIJ¥éĶĢ +综åIJĪ ç´łè´¨ +åŃ ļ +ä¾® è¾± +äºĮ åŃĹ +å·¥ä½ľ ä»»åĬ¡ +åı²ä¸Ĭ æľĢ +æľĢ ä¼ĺ +åIJ© åĴIJ +表 çĻ½ +èİ« åIJį +èİ«åIJį åħ¶ +èİ«åIJįåħ¶ å¦Ļ +å¹ £ +åIJĮå¿Ĺ 们 +建设 çĶ¨åľ° +åĦ Ģ +éħį åģ¶ +å¼ © +åĶ± çīĩ +æīĭ èĦļ +åħ¼ ä»» +åģľ æĶ¾ +æŃ£ å®Ĺ +æĸ° åĨľæĿij +åĤ¬ çĶŁ +æīĢ åŃ¦æł¡ +念 ä½Ľ +åĶ¤ éĨĴ +åħ± åĪĽ +æĭī ä¸ģ +èĥĮ çĿĢ +çĶŁæĢģ ä¿ĿæĬ¤ +åı£ 头 +æĸ¹åIJij çĽĺ +調 æķ´ +æĭĽèģĺ ä¿¡æģ¯ +åħ¶ä»ĸ åĽ½å®¶ +ç®Ģ æĺĵ +åĮ¿ åIJį +è¯Ħ æµĭ +æĺ¯ä¸Ģ 座 +çīµ æīĭ +足 迹 +çIJĨ解 åĴĮ +æľĢ åıĹ +å¿ĥ è·³ +çĪ¶ 親 +éĿŀ常 åĸľæ¬¢ +èĭ¦ éļ¾ +æĬĢ å¸Ī +æ°ij æĦı +æĪĺ åĽ½ +æĽ¿ è¡¥ +æ´¥ è´´ +ä¸ŃåĽ½ ä¼łç»Ł +åIJĦ è¡Į +åIJĦè¡Į åIJĦ +åIJĦè¡ĮåIJĦ ä¸ļ +第äºĶ å±Ĭ +èį· èĬ± +æĦı èŃĺ +票 ä»· +åĪĨ æµģ +æĿİ çĻ½ +æ±Ł åĮĹ +æİĴ æĸ¥ +ä½ĵ éĩı +åĮħåIJ« äºĨ +åĪĺ æŁIJ +çİ° å¦Ĥä»Ĭ +å·¥èīº åĵģ +è¿Ļç§į æĸ¹æ³ķ +åĬŀåħ¬ 楼 +çĶµ å·¥ +çħ Ļ +åį¡ çīĩ +å¹´ å¹´åºķ +ä¸ĵ项 èµĦéĩij +åĮ» ç§ij +åĮ»ç§ij 大åѦ +åĽŀ头 çľĭ +ä¸į å±ij +èĩª 驾 +没 æĶ¶ +æīĵ çĮİ +èĦ¸ éĥ¨ +åıĥ èĢĥ +å°Ĩ 士 +è´«åĽ° 人åı£ +çIJĨæĥ³ 信念 +é£İ å°ļ +人æīį éĺŁä¼į +çij ¾ +æĿ¥ è¿ĻéĩĮ +æ´Ĺ 涤 +å¹´ èĸª +èĭį çĻ½ +ä¸ĩ äºĭ +课 æľ¬ +åºĵ éĩĮ +çī¹ æ´¾ +çī¹æ´¾ åijĺ +èµŀ ç¾İ +ç©¿ æĪ´ +製 ä½ľ +èµŀ æĪIJ +ä¸Ģ 侧 +å½ĵåľ° 人 +æĭ İ +纸 è´¨ +ä½Ļ 个 +éĶĤ çĶµæ±ł +æľº åŀĭ +éĻ¢ éĻ¢å£« +åģļ å·¥ +å¼ł è´´ +ç¥Ľ æĸij +æ®ĸ æ°ij +å¥ij 约 +æ¹ĺ æ½Ń +æIJ ĸ +åŃĺ è´§ +交éĢļ 大åѦ +è¶ģ çĿĢ +æĸĩçī© ä¿ĿæĬ¤ +å¤ĩ æĪĺ +éĩĩ 纳 +åįĬ æľĪ +æľĢ åħ³éĶ® +æľĢåħ³éĶ® çļĦ +æİ¥ éĢģ +æĶ¶ åī² +åıį åĢĴ +çĥ Ľ +æ ½Ķ +ä¼Łå¤§ å¤įåħ´ +çļĦè¯Ŀ è¯Ń +容 å¿į +å®ļ éĩı +æķ Ĺ +åĵģçīĮ 形象 +æīŃ è½¬ +åĽ½å®¶ éĩįçĤ¹ +èĨĿ çĽĸ +ä¸Ģ 楼 +大 éĻ¸ +éĤª æģ¶ +åĽŀ åij³ +çĮ ¿ +çĿ¡ åīį +æĹł è¾ľ +çĹħæ¯Ĵ æĦŁæŁĵ +æľºæ¢° åĮĸ +çĤ¹ 亮 +溶 解 +åĩłä¹İ æīĢæľī +è·ij éģĵ +çĶµè§Ĩ æľº +åı ¨ +æijĩ äºĨ +æijĩäºĨ æijĩ头 +èĩª è´Ł +综åIJĪ åĪ©çĶ¨ +èĩª å¦Ĥ +åİŁ ä¾Ĩ +ä¹Łä¸į æĥ³ +èĬĤ 课 +è¿ĩ åī© +çĶ² çĬ¶ +çĶ²çĬ¶ èħº +æĸ° ä¸ĸ纪 +èĩªä¸» åĵģçīĮ +é«ĺ å±Ĥ次 +ä¸Ģ è§Ĵ +è¡Į äºĭ +ç¥ĸ åħĪ +å©ļ åIJİ +éĹ´ éļĻ +ç¼Ŀ éļĻ +è¿Ļ æĶ¯ +ä¸įæĸŃ åĪĽæĸ° +å¾® åŀĭ +æĽĻ åħī +享 çĶ¨ +ä¸ŃåĽ½ 移åĬ¨ +éĹŃ çݯ +æī§ æĦı +åıijå±ķ æł¼å±Ģ +æł¸å¿ĥ åĮº +éªļ æī° +åħļåĴĮ åĽ½å®¶ +ä¸ŃåĽ½ æĶ¿åºľ +帶 èijĹ +ä¸ĩåįĥ çĵ¦ +åħ© 人 +äºİæĺ¯ æĪij +åĽº ä½ĵ +çªģ å¦Ĥ +çªģå¦Ĥ åħ¶ +çªģå¦Ĥåħ¶ æĿ¥ +éĩĮç¨ĭ ç¢ij +çĪ± ç¾İ +æŁ¥ éªĮ +åıĮ èµ¢ +éĹª åħī +楼 å®ĩ +æĻ ı +æľī è¶³å¤ŁçļĦ +æŁĶ æĢ§ +ä¿¡æģ¯ å®īåħ¨ +管 线 +并 ä¸įä¼ļ +åĻ¨ 件 +ä½ł åºĶ该 +çĿĢ å®ŀ +æĺİ æ¸ħ +æĬĹ çĶŁç´ł +æīĵ æŃ» +å®Įåħ¨ ä¸įåIJĮ +èĬ± æ¤Ĵ +æĶ¾ 宽 +ä½İ 端 +åĽĽ èĤ¢ +åĮĹ京 èµĽè½¦ +éĽĨ å¸Ĥ +æľª å©ļ +大å¹ħ æıIJåįĩ +建çŃij 设计 +çĭ¬ æľīçļĦ +æİ¢ éĻ© +æ²³æµģ åŁŁ +æħķ 容 +被 çĽĹ +åĵº ä¹³ +èı ģ +æĥ¬ æĦı +è¶ĬæĿ¥è¶Ĭ 好 +广大 群ä¼Ĺ +å¾· èĤ² +å¸Ĥåľº ä»·æł¼ +奥 å·´ +奥巴 马 +èĬĤ缮 ä¸Ń +两 款 +ä¸ĩä½Ļ åħĥ +ç»´ å°Ķ +çĶŁçī© ç§ijæĬĢ +åIJ¬ èµ·æĿ¥ +çł ļ +æĭŁ å®ļ +æ²¹ çĶ° +声 èªī +建çŃij ä¸ļ +éĻIJ è´Ń +çīĩ åŃIJ +çķľ 禽 +ç½ij é¦ĸ页 +ä¼Ĺ çŃ¹ +æĴŀ åĩ» +åīį ä¸įä¹ħ +åīį ä¸ĸ +åĽĽä¸ª æĦıè¯Ĩ +æµĭ ç»ĺ +éĺ² ç©º +漫éķ¿ çļĦ +æ²IJ æµ´ +æ¯Ķè¾ĥ ç®Ģåįķ +æµĭ å®ļ +åĽŀ è°ĥ +让 人们 +èĴĭ ä»ĭ +èĴĭä»ĭ çŁ³ +ç»ĵ æĻ¶ +å¢ŀæ·» äºĨ +æĿ¡ è¯Ħ论 +åī¯ ä¼ļéķ¿ +ä½ı æīĢ +ç»Ļ åĩºäºĨ +è°ĥ éħį +æ² ĸ +æľī çĶ¨ +æľīçĶ¨ çļĦ +ä¸ĢæĿ¡ é¾Ļ +éĩİ å¤ĸ +ç¼ĺ åĪĨ +æ°¸è¿ľ ä¸įä¼ļ +æŀľ æłij +大åıij å¿«ä¸ī +麻 éĨī +äºij éĽĨ +åİ» åĵªéĩĮ +åħ¥ å¸Ĥ +ä»» æĢ§ +建 æ¡£ +建档 ç«ĭ +建档ç«ĭ åį¡ +ä¸Ģ 棵 +社 åįĢ +缸 ä¼´ +åļ · +å¡« åħħ +ä¸Ģ æĹı +ç¾ ģ +åıĸ è¯ģ +èĪ° éĺŁ +åİĤ åĮº +è¡· å¿ĥ +åıijå±ķ éĺ¶æ®µ +é«ĺ 强度 +åĹĵ åŃIJ +é¢Ĩ è¡Ķ +楼 主 +大 èĴľ +æŀķ 头 +ç²® æ²¹ +é»Ħ çĵľ +æĵ Ĵ +å°ı çĭĹ +æĶ¹éĿ© å§Ķ +åįģ åĪĨéĴŁ +é²ľ èī³ +åħ³ ç¾½ +çĭĢ æħĭ +å®ŀçĶ¨ æĢ§ +å°ij è§ģ +é£ŀ æī¬ +çĶ° éĩİ +æIJ Ĥ +è¿Ļ个 è¯į +åºĶæĢ¥ é¢Ħæ¡Ī +è§Ĵ度 æĿ¥çľĭ +æķ¬ çķı +æ³ķ å®Ŀ +åĸĦ æĦı +æīĵ æĸŃ +对 åĨ³ +çµķ å°į +åĢŁ æѤ +å¼Ģ æºIJ +å°ı 說 +ç¥ º +å²ģ 以ä¸ĭ +éĢĢå½¹ åĨĽäºº +ä¸įä¹ħ åīį +åĩº åİĤ +讽 åĪº +æĿ¥çľĭçľĭ åIJ§ +éŃĶ åħ½ +çķĻ ä¸ĭæĿ¥ +å±ħ 室 +åłħ æĮģ +çľĭ äºĨä¸Ģ +çľĭäºĨä¸Ģ çľ¼ +éĽĨåĽ¢ æĹĹä¸ĭ +æĪĺ æĪĺç»ĦåIJĪ +è®¤çľŁ èIJ½å®ŀ +汽车 产ä¸ļ +çī©çIJĨ åѦ +æķ µ +éĴ Ŀ +åĽ¢ éķ¿ +ä¸įæĸŃ æī©å¤§ +èĤ© è´Ł +åıijå±ķ 缮æłĩ +è³ĩ éĩij +åīį ç½® +ä¸ŃåĽ½ åı¤ä»£ +æŃ» åĪij +åħħåĪĨ ä½ĵçİ° +åħ³ éŨ +ç¾İ æĦŁ +æīĵ åħ¥ +æĬijéĥģ çĹĩ +å°ij çĪ· +æłij æŀĿ +æ¶Īæģ¯ 称 +æ´Ľ åħĭ +åį ¯ +è¿Ī åIJij +æݨ åĭķ +ä»İä¸ļ èĢħ +åİ» ä¹° +欢 å¿« +æĭ¥ æĮ¤ +马 桶 +æĬĬ æݧ +æĶ¿ åħļ +å¼ł æī¬ +客 æłĪ +红 æĺŁ +éĢģ æĿ¥ +åħ¨åŁŁ æĹħ游 +èĩª ç§ģ +åįģäºĮ æĿ¡ +åı¹ æģ¯ +ä¸Ģ èīĺ +ä¿Ŀ è´¹ +æĸ½å·¥ çİ°åľº +æľī 幸 +ç»Ń èĪª +åı¯èĥ½ æľĥ +èĥĮ åıĽ +ä½£ éĩij +ä¸ī çŃīå¥ĸ +å¾Ī 满æĦı +游æĪı åī¯æľ¬ +群 éĩĮ +æŀĦ 件 +åºı å¹ķ +太 æ¹ĸ +æľ¨ è´¨ +æĻĭ æ±Ł +çµĤ æĸ¼ +è·³ è·ĥ +åĢºæĿĥ 人 +çŃī 诸å¤ļ +æĶ¾ åĩº +åħ³éĶ® æŶåĪ» +æĦŁæŁĵ èĢħ +é£ŀè¡Į åijĺ +èĥĨ åĽº +èĥĨåĽº éĨĩ +æĬ± æŃī +åij¨ äºĮ +æĸ° æĹ¶æľŁ +åĨ·éĵ¾ çī©æµģ +è¿Ļç§į æĸ¹å¼ı +该 æĿij +åĽŀ é¦Ī +åŁºçĿ£ æķĻ +人 åıĤ +æŀ¯ çĩ¥ +æī¹åıij å¸Ĥåľº +åħħåĪĨ èĤ¯å®ļ +å¸Ĥ æĶ¿åįı +äºĭ æ¥Ń +龸 çİĭ +çĥŃ æIJľ +åįģä¹Ŀ 大 +ä¼´ æľī +ç¾İåĽ½ æĢ»ç»Ł +åŁİå¸Ĥ 管çIJĨ +ä¸ĭ 令 +èĥ¸ åı£ +åıª çŁ¥éģĵ +åij¨ ä¸ī +çĶ¨ æĪ¶ +éŃ ¯ +å¿ĥ è¡Ģ +带头 人 +åĮ» åĬ¡ +åĮ»åĬ¡ 人åijĺ +æݧåĪ¶ åĻ¨ +ä½ľåĵģ åĨħ容 +æĪĺ åıĭ +åİĨ å¹´ +ä¸į åħĭ +ä¸įåħĭ ä¸įåıĬ +æĹ¥ æŃ£å¼ı +è±IJ å¯Į +ç¨İ è´¹ +æŶ æķĪ +å±ķ ä½į +è¡¡ éĺ³ +æĪ¿ 貸 +çĪĨ 款 +ä¹IJ æĦı +çĶ· 主 +å¯ ¬ +æľĥ èŃ° +ä¹ĭ å¤ľ +åIJĮ 樣 +ä¸įè¦ģ 太 +ä¼Ĭ æĸ¯ +ä¼Ĭæĸ¯ åħ° +åŁºæľ¬ åİŁåĪĻ +åİ» æİī +ä½İ ä¿Ŀ +个 交æĺĵ +个交æĺĵ æĹ¥ +èģĬ èģĬ +åĽĽ ä½į +åħļç»Ħ æĪIJåijĺ +主è¦ģ ä»İäºĭ +å½± éŁ³ +åĨĴ åĩº +åij¼åIJ¸ éģĵ +è¾¾ å°Ķ +æľ¨ åľ°æĿ¿ +诡 å¼Ĥ +çģ¯ åħ· +çģ« çĥ§ +解 èĦ± +æĦĪ åıij +æ¹ĸ å·ŀ +é£İ ä¿Ĺ +æĸ° å½¢åĬ¿ +æĸ°å½¢åĬ¿ ä¸ĭ +è² Ŀ +èĦ ĵ +åĬ¨åĬĽ çĶµæ±ł +é£ŀ èĪ¹ +飧 æĢ§ +åĪ© çī© +åĪ©çī© 浦 +ä¸į 认è¯Ĩ +ç¼ĸ ç»ĩ +ä½ľ åĿĬ +èģĮä¸ļ æĬĢèĥ½ +çľĭ è¦ĭ +åĽ´ æ£ĭ +æĺı è¿· +å½Ĵ å±ŀäºİ +æĤ¬ å´ĸ +éĨ« çĻĤ +å®ĭ 代 +åºĦ æĿij +èĹ ķ +çĮĽ çĦ¶ +çĩĥæĸĻ çĶµæ±ł +å®ŀä½ĵ åºĹ +ä¸į足 以 +æĥħ ç· +æĥħç· Ĵ +å»Ĭ åĿĬ +çĶµ åı° +åºĶ åĬĽ +ä¸Ńå°ı åѦçĶŁ +èĥ¡ åIJĮ +éī´ åĪ« +åĨħ ç½® +ä¹± 象 +æ¬Ĭ çĽĬ +å¼ĢæĶ¾ å¼ı +åįļ æĸĩ +讲 课 +çŃī åİŁåĽł +ç©· 人 +交 æĽ¿ +æĬ¤ çħ§ +åıijå±ķ æľºéģĩ +客 åķĨ +åıį ä¹ĭ +ç±³ é¥Ń +并 åıij +并åıij çĹĩ +æ±ī åŃIJ +æŀľ åĽŃ +对æĪij æĿ¥è¯´ +åģı åIJij +æī¹ 示 +读 åIJİ +读åIJİ æĦŁ +æĺİ æĻº +åĽ´ çĿĢ +åıį 转 +æĿ¨ å¹Ĥ +ä¸ĵ åįĸ +ä¸ĵåįĸ åºĹ +åıĹ éĻIJ +åºŁ è¯Ŀ +æŀģ å°ij +åįĪ åIJİ +è¿Ľ ä¿® +åīĬ åĩı +æľ¬ç§ij çĶŁ +ä¼ĺ éĢī +åħī çħ§ +åıĻ äºĭ +åıĸ æļĸ +åĮĹ è·¯ +æ¦ ķ +èİĨ çĶ° +楼 å±Ĥ +天 èĬ± +天èĬ± æĿ¿ +çĤ ľ +å·²ç»ı æľīäºĨ +è¶ ¾ +çĶ³ åįļ +çĶµ éĺ» +åĬŁ 课 +æŃ¥ æŃ¥ +éĤ£ä¹Ī 容æĺĵ +æѤ æĸĩ +ä½ ° +计 è¾ĥ +çīĩ éĿ¢ +çĶµå½± éĻ¢ +ä¸į åħ¬å¹³ +ä¸ī æľŁ +æĹħ游 èµĦæºIJ +å¤ļç§į å½¢å¼ı +è£Ĥ ç¼Ŀ +åIJİ æİĴ +硬 度 +åĽŀ æļĸ +éģĵ æķĻ +è´« è¡Ģ +æ¸ħ é¦Ļ +伤 çĹħ +æĦı 義 +çļĦ ç¼ĺ +çļĦç¼ĺ æķħ +åºĦ 严 +åıªæĺ¯ ä¸ºäºĨ +æīĵ æĬĺ +以 ä¾Ĩ +滿 足 +çİĽ 丽 +風 éļª +æĸĩ ç§ij +éħįå¤ĩ äºĨ +è¿Ľ é£Ł +æ¶ ¡ +è·¯ ç¨ĭ +åı« 声 +ä¸Ńå¿ĥ åŁİåĮº +æľīæīĢ ä¸įåIJĮ +å¼µ è²¼ +é¢Ħ æĬ¥ +æľīå¤ļ ä¹Ī +è¿Ľè¡Į åħ¨éĿ¢ +æĽ¾ ç¶ĵ +ä¸ī 代 +å®ı 大 +æ¸ħ æī« +éĢī åĩº +åĵª ä¸Ģ个 +主 義 +ä¾Ŀ æĵļ +çļ® éĿ© +赶 æĿ¥ +çŃĽ æŁ¥ +æ¨ Ł +ä¿Ŀ èįIJ +åIJĥ æĥĬ +æľĭåıĭ们 对 +ä»ĸ æĺ¯ä¸Ģ个 +åºŁ æ°Ķ +æ» ħ +è´¢ ç¨İ +æĿij æĿijæ°ij +èµĦ产 è´ŁåĢº +å®ī å¨ľ +缮åīį åĽ½åĨħ +æĦŁè§ī èĩªå·± +çµIJ åIJĪ +éĶ¦ æłĩ +éĶ¦æłĩ èµĽ +æĽ´ æ·± +åŁº æķ° +éħ¿ éħĴ +çī¹èī² 产ä¸ļ +åİĭ å®ŀ +ä¾Ŀæ³ķ 追究 +æ·¡ å®ļ +ç®Ģ缴 å°±æĺ¯ +å£ĵ åĬĽ +æ°ij å¿ĥ +ä¸į åIJĪéĢĤ +çĶ±æѤ åı¯è§ģ +èµŀ èªī +æ¾ ¤ +åĩłå¹´ åīį +åIJī ä»ĸ +çł´ æįŁ +轻轻 åľ° +å²Ľ 屿 +æĦı å¢ĥ +ä»Ģä¹Ī åı« +åģĩ è£ħ +éĢģ è´§ +å¹ķ å¢Ļ +妥 åįı +åĽ½ æĹĹ +äºĨ å¾Īä¹ħ +åĪĨ辨 çİĩ +ç´ Ķ +éĺ³ åĮº +åĩŃ çĿĢ +åģľè½¦ ä½į +京 éĥ½ +éĶ £ +æĵ ¾ +è¿Ľ éŨ +åĪĺ æµ· +åĽĽ 级 +女 足 +è¡ĮæĶ¿ 审æī¹ +éģ¥ æݧ +ä¸į éĮ¯ +å¾Ĺ å¾Ī好 +为 缮çļĦ +ä»į æľª +ç²¾ è£ħ +éĢį éģ¥ +å°½ 头 +çºł ç¼ł +éłĺ å°İ +æĭħ è´Ł +æĪĸèĢħ åħ¶ä»ĸ +åıªä¸įè¿ĩ æĺ¯ +åı® åĺ± +åģĩ åĨĴ +æļĸ æ°Ķ +çĽIJ åŁİ +被 è§Ĩ为 +诺 è´Ŀå°Ķ +ç»ĻäºĨ æĪij +è¿ij åįĥ +éĩį åĽŀ +éĨĴ äºĨ +çĶµ 解 +忽çķ¥ äºĨ +èĥĮ éĥ¨ +æĸĩæĺİ åŁİå¸Ĥ +æº ħ +è² ĵ +æĬµ æĮ¡ +åĸľæ¬¢ åIJĥ +éĿĻéĿĻ åľ° +å¾Ī æ·± +åŁºç¡Ģ çŁ¥è¯Ĩ +è¿ĩ éĶĻ +çIJĨ ç§ij +交æµģ åIJĪä½ľ +èĪ Ķ +調 æŁ¥ +æħĪ æĤ² +éĴ ° +èĩ´ çĶµ +å®£ä¼ł æ´»åĬ¨ +åıĺ éĩı +çļĦ人 æĿ¥è¯´ +æŶ éļĶ +ä¸į管 ä½ł +缸 è¿ij +è´µ éĩijå±ŀ +ä¹Łä¸į åı¯èĥ½ +ç²ī æľ« +åįĹ çĵľ +çĻ½ 马 +åħī æºIJ +éĩij å¥ĸ +çĭ¬ è§Ĵ +çĭ¬è§Ĵ åħ½ +妨 ç¢į +ç»Ļ åĬĽ +ä½Ĩ ä»į +å¼łå®¶ åı£ +èIJ¬ åħĥ +渲 æŁĵ +éķ¿å¤§ äºĨ +è®°èĢħ äºĨ解 +æĢĢ çĿĢ +è¦ģ åѦä¼ļ +游æĪı 代 +游æĪı代 ç»ĥ +äºĮ çĻ¾ +æĦıè¯Ĩ å½¢æĢģ +çİ º +计åĪĴ çĶŁèĤ² +æī¾ åĩĨ +åħ° èĬ± +è¿Ļ座 åŁİå¸Ĥ +污 æ³¥ +å®ĺæĸ¹ 微信 +å½Ĵ å±ŀ +æ°§ æ°Ķ +éģİç¨ĭ ä¸Ń +åį°è±¡ æ·±åĪ» +稳 妥 +çµIJ æĿŁ +åŃķ æľŁ +çī¹ æĿĥ +åĿļ åĽº +顺 åĬ¿ +æŀľ èĶ¬ +éĨ« 師 +åİ ® +ä¹Łæĺ¯ å¦ĤæѤ +é¦Ĵ 头 +缸 åĬ© +å¹² 线 +ä¸Ģ æľ¬ä¹¦ +ç» ¥ +æĮ¯ å¥ĭ +èĤ¾ èĦı +åĭķ çī© +é£ŀ è·ĥ +èıľ åĵģ +å¤ļ ä½Ļ +å¤ļä½Ļ çļĦ +éĢĿ ä¸ĸ +æģĭ 人 +å¼Ģåıij åĪ©çĶ¨ +顺 丰 +éĩİ å¿ĥ +æł¡ å¤ĸ +æģIJ é¾Ļ +éĿ¢ åħ· +éķ¿ è¾Ī +éļı å¤Ħ +éļıå¤Ħ åı¯è§ģ +ç´§ 缺 +éĩį ä¸Ń +éĩįä¸Ń ä¹ĭ +éĩįä¸Ńä¹ĭ éĩį +奥 æĸ¯ +奥æĸ¯ åį¡ +ä¸Ģ个 å¤ļ +ä¸Ģ个å¤ļ æľĪ +ä¸įåı¯ 缺å°ij +æĸ° æł¼å±Ģ +æıIJ æĮ¯ +è¡Į è´¿ +æ¼Ĥ æµģ +èģĬ åŁİ +åħ´ 建 +è´¨ æ£Ģ +ç§ģæľį 游æĪı +æĽ´ éĩįè¦ģ +è´ ® +çħ ľ +转åıĺ 为 +è¿Ļ 两年 +ä¿Ŀ é²ľ +æī§ æķĻ +çĥ ¨ +å¼Ģåıij 建设 +è¿IJèIJ¥ 管çIJĨ +误 å·® +京 åī§ +å¸IJ åı· +å·¥ä½ľ ä½ľé£İ +ä¸ĸ ä¿Ĺ +çĻ½ 宫 +天 åĽ½ +å¤©åĽ½ 继ç»Ń +å·´ æĸ¯ +èIJ¥ åĪ© +åĵģ æł¼ +æĿijæ°ij 们 +æĪ¿ 车 +çŃī çĹĩçĬ¶ +å¦Ĥ å®ŀ +å® ¸ +å±Ĥ 级 +éĶĻ è¿ĩäºĨ +ç»ĵ å®ŀ +ç¬ij èĦ¸ +羣å®ŀ æĢ§ +éĥ½å¸Ĥ æĬ¥ +é¥Ń èıľ +åºĶ 注æĦı +æĬ½ çĥŁ +伪 éĢł +åīį ä¸Ģ天 +éŃĶ é¾Ļ +éŃĶé¾Ļ 令çīĮ +约 è°Ī +绣çŃ¹ æİ¨è¿Ľ +让 çĶ¨æĪ· +åħ¨éĿ¢ èIJ½å®ŀ +å¼Ħ å¾Ĺ +è°Ī æģĭçĪ± +鸣 æĪIJéķ¿ +鸣æĪIJéķ¿ è®° +æ´ĭ æ´ĭ +çĸı æķ£ +éĿ¢ç§¯ 约 +æµĵ 缩 +æĸ¯ é¡¿ +çĶŁæĢģ åľĪ +æī§ 导 +移 éĢģ +齿 è½® +æł¹æľ¬ å°±ä¸į +缩 åĩı +èµ° ä¸ĭåİ» +çĿ« æ¯Ľ +ä¹Łä¸į éĶĻ +åıįæĺł åĩº +èĭ¦ æģ¼ +缸åħ³ æĶ¿çŃĸ +é«ĺ 楼 +ç²ī èī² +æĬķèµĦ é¢Ŀ +ä¸į ç»ı +ä¸įç»ı æĦı +å®ģ æĦ¿ +èĪĮ 头 +æ»ĭ çĶŁ +å®ģ åİ¿ +åīįåĪĹ èħº +åĩ ³ +é£Ł 欲 +åıĸ èĥľ +éĻ¢ åŃIJ +ç´łè´¨ æķĻèĤ² +滨 å·ŀ +æĬ¢ æĬĵ +å¼Ĥ åij³ +åĴ ļ +åĬ į +宽 éĺĶ +æļ´ 涨 +æĥł åıĬ +è§Ħ ç¨ĭ +ä¾Ľ åħ» +éĢģ å¾Ģ +å±± åºĦ +举 äºļ +å±ķ é¦Ĩ +解 éĶģ +æĹł è§Ĩ +éĻį èIJ½ +è¿ŀ äºij +è¿ŀäºij 港 +åıĤ è°ĭ +çİ ĸ +ç¬ ĥ +èĢĹ è´¹ +æī¿ å¾· +社ä¼ļ æķĪçĽĬ +åįĹæµ· ç½ij +åĪĽ 伤 +èIJ ± +åħħ æ²Ľ +ç½ijç«Ļ 建设 +大 åºĨ +åĨį éĢł +åŃĹ æł· +åħ¨æ°ij åģ¥èº« +èĮ« èĮ« +æµ® åĬ¨ +åīį åı° +å¢ŀ 设 +éĢĽ è¡Ĺ +åĢĴ éĹŃ +æ³ķå¾ĭ 顾éĹ® +çĸ ® +çĹħ çĹĩ +空 åīį +请 æķĻ +èĥľ ä»» +æĿĢ èıĮ +æĪĺæĸĹ æľº +ç»ĺ åĪ¶ +å¤Ħ æĸ¹ +çªģ åĽ´ +çĮ« åĴª +æĬ¥åijĬ æĺ¾ç¤º +ç¿ Ł +çķ¶ åľ° +æľĢ éļ¾ +纪 å§Ķ书记 +ä½İ åİĭ +èĻļ 空 +è¿Ļéĥ¨ çĶµå½± +产ä¸ļ åįĩ级 +è°· çĪ± +è°·çĪ± åĩĮ +æĬ¼ éĩij +女 æĸ¹ +éĴ» çłĶ +æļĹ æļĹ +è¿· ä½ł +æīĢ è¬Ĥ +å¨ģ å»ī +å¼Ģ æľĹ +å² Ķ +çģ« çĤ¬ +åIJĪçIJĨ æĢ§ +åħ¬ åĬŀ +ä¼ļ ä¼ļéķ¿ +éĺ´ è°ĭ +å¼Ģ å±Ģ +æĻ®éĢļ è¯Ŀ +åį¡ æĭī +å°ij åIJĥ +éĹª èĢĢ +æŀľ æ±ģ +æī§è¡Į åĬĽ +è° Ľ +æĬ¢ åĬ« +é«ĺéĢŁ åıijå±ķ +éŁ ¬ +åįĹ æ²Ļ +é«ĺçŃī åŃ¦æł¡ +æį¢ 个 +åı¯èĥ½ åŃĺåľ¨ +æĬ Ĵ +è°± åĨĻ +被 æĬĵ +æĿ¯ åŃIJ +èĬĤèĥ½ åĩıæİĴ +æ°ĶåĢĻ åıĺåĮĸ +åĪĨ åĪ¥ +ä¸Ń æŀ¢ +欢 åij¼ +åħī 纤 +è¿Ļ 群 +çľ¼ çķĮ +åħ±åIJĮ åıijå±ķ +çİ° ä»Ĭ +éĹ» è¨Ģ +çī¹èī² å°ıéķĩ +æķij 人 +éĻį æ°´ +ä¸ĸçķĮ ä¸Ģæµģ +å°± é¤IJ +çŀ ¥ +å¤į ä»ĩ +ç¾½ æ¯Ľ +ç¾½æ¯Ľ çIJĥ +è´© åįĸ +æºIJ æ³ī +æĢ»ä½ĵ è§ĦåĪĴ +åĬ¨ æĦŁ +ä¸Ģ 审 +åĢŁ éĴ± +è§ģ æķĪ +èĬ± èįī +åIJĮ ä¸ļ +æŁ¥ è©¢ +åĽ½éĻħ åIJĪä½ľ +ä¾Ľ åĽ¾ +åģ ´ +æł ĵ +缸 éĢļ +è°Ī åıĬ +è¿ĩç¨ĭ å½ĵä¸Ń +é¦Ļ èıĩ +åįģåĽĽ æĿ¡ +ä¸Ģå¼Ģå§ĭ å°± +ä¸ĵ åijĺ +æĺİ é¡¯ +æīĵéĢł åĩº +ä¸ĭéĿ¢ æĪij们 +æľº æ²¹ +åı° è¯į +åŃIJ å¼Ł +æľĢ 常è§ģçļĦ +æĪij è®°å¾Ĺ +ç» ° +æĤ¬ æµ® +è¿ĺ 羣æĺ¯ +æĮĤ åı· +åıĭ åĸĦ +éĩį 伤 +çħ§ 亮 +æѦ èѦ +åĩºçİ° éĹ®é¢ĺ +è¸Ĭ è·ĥ +åľ°çIJĥ ä¸Ĭ +å¸Ĥ 人大 +åıĹ害 人 +å² IJ +åIJĮ åѸ +éĩijèŀį å¸Ĥåľº +æľīçļĦ çݩ家 +å¸Ĥ æķĻèĤ² +å¸ĤæķĻèĤ² å±Ģ +åIJĦ å¼Ĥ +ç·ļ ä¸Ĭ +æģ º +æľī 大éĩıçļĦ +åķĨ æĬ¥ +åįķ åįķ +åħ¨ é¢Ŀ +ä¾Ŀæŧ æĺ¯ +好 åĩłä¸ª +åĸ µ +éĩį æķ´ +çĶŁæ´» è´¨éĩı +æİ¢ 访 +åį° èĬ± +缼 è¡Į +å¾® è§Ĥ +èĪį å¾Ĺ +åºŁå¼ĥ çī© +积 èĵĦ +å®ļ å±ħ +æĤ ¼ +èĮ ¸ +çļĦ 帮åĬ© +çļĦ帮åĬ© ä¸ĭ +亿 åIJ¨ +åŃĶ éĽĢ +è¿ĻæĿ¡ è·¯ +é¥ µ +æĦĪ åĬł +éķ į +ä½ľ æ¡Ī +èįĶ æŀĿ +太 å°ij +è·» 身 +åħ¬çĽĬ æ´»åĬ¨ +çĻ½ æĸij +æĬĢæľ¯ æ°´å¹³ +å¸ § +æĹł çŁ¥ +åºĶ该 æĢİä¹Ī +éĢĢ å¸Ĥ +æ¸ Ń +åħ» çĮª +é© ¼ +群 å²Ľ +大 åį« +ä¹ĺ çĶ¨è½¦ +èı² å°Ķ +è´´ åIJ§ +åģľ ä¸ĭæĿ¥ +æľīæľº ç»ĵåIJĪ +åĪ» èĭ¦ +çļĦ åľ° +çļĦåľ° æŃ¥ +è¯Ĭ æīĢ +å¼Ģ æĪĺ +èĢģ çīĮ +çŃ¹ çłģ +åħ«å¤§ 以æĿ¥ +楼 æĪ¿ +åŃĻ æĤŁ +åŃĻæĤŁ 空 +åħĴ åŃIJ +第ä¸Ģ æĿ¡ +社交 åªĴä½ĵ +æĥ³ èµ·æĿ¥ +大 æ´ĭ +æĭ¼ éŁ³ +è¿Ľ åįļä¼ļ +è¿ĩ åħ³ +æ² ¼ +ç©¿ æIJŃ +éĤ£ ä¸Ģ天 +çł´ éŨ +æĬķæłĩ 人 +èµ¢ 家 +èĻļ å¼± +æ¿ ĥ +å®ī æ£Ģ +客 家 +çĭ¬ç«ĭ èij£äºĭ +æīĭ åĬ¿ +åīµ éĢł +åľĨ满 å®ĮæĪIJ +为主 线 +好å¥ĩ å¿ĥ +é¢Ĩ åľŁ +çª ĸ +åħ¸åŀĭ æ¡Īä¾ĭ +çªģåıij äºĭ件 +åºķ æ°Ķ +头 æĻķ +å®Ľ å¦Ĥ +è§ ¸ +æ¸ħ æ·¡ +åļ ¼ +åģľ çĶµ +ç²ī å°ĺ +éĻįä½İ æĪIJæľ¬ +æĶ¾ æīĭ +è®°èĢħ 表示 +æĭĸ 延 +éª ĩ +æ®ĭ å¿į +çľģ æķĻèĤ² +çľģæķĻèĤ² åİħ +é«ĺ é¢Ŀ +éĦ Ļ +æ¥ ŀ +åĨħ ç§ij +èIJ¥ä¸ļ é¢Ŀ +åŁº çŁ³ +æµģ æ·Į +主 æŨ +éĺIJ éĩĬ +建 åįİ +æĥĬ åı¹ +çī¢åĽº æłijç«ĭ +æĺ¯åIJ¦ åŃĺåľ¨ +建 åĨĽ +éĽ¾ éľ¾ +åħ¬ 认 +åħ¬è®¤ çļĦ +æ°¨ åŁº +æ°¨åŁº éħ¸ +åīį åĩłå¹´ +åĪ¹ éĤ£ +æ±Ł 举 +å·¥ æ¥Ń +ä¸ĢçĤ¹ ä¹Łä¸į +ä¿® 士 +äºĨä¸Ģ éģį +åĪ ģ +æ»ļ æ»ļ +åĪĨ æł¡ +羣 çĪ± +è¡Ģ èĦī +æĢ¥ åī§ +ä¸Ģ群 人 +ç¾ ¯ +æĪIJ é¾Ļ +ç²¾ç¥ŀ çĹħ +缸åħ³ 人åijĺ +éĿĵ 丽 +ä¸ī åŃ£åº¦ +åĪĴ å®ļ +ä¸ĸçķĮ 第ä¸Ģ +éĢļ ä¿Ĺ +åķĨä¸ļ åľ°äº§ +åĬŁèĥ½ æĢ§ +èµĦæľ¬ 主ä¹ī +详 è§ģ +æĬĵ æįķ +æĸĩ æĺĮ +å®Ŀ å®ī +è£ħéħį å¼ı +æºIJ æºIJ +æºIJæºIJ ä¸įæĸŃ +çĶŁ æĢķ +纵 åIJij +å£ ½ +çľ¼ è¢ĭ +èĤī ä½ĵ +åı¤ ä»Ĭ +èŀį åªĴä½ĵ +åģ ī +æł¼ æľĥåĵ¡ +çĥ · +åĬŁ çĶ¨ +æīŃ çŁ© +绿èī² éĢļéģĵ +åī§ ç»Ħ +å¼± åĬ¿ +è´¨éĩı éĹ®é¢ĺ +éĻIJ é¢Ŀ +éª Ĩ +éģµ ä¹ī +å¯Ŀ 室 +æĥ³ 念 +åł± åijĬ +ä»ħ 次 +ä»ħ次 äºİ +èŀį åĪĽ +æĭĽèģĺ ä¼ļ +åºĬ åŀ« +转åŀĭ åıijå±ķ +ä¸ŃåĽ½ çĶµä¿¡ +åIJ¬ è¯Ŀ +è«ĭ æ±Ĥ +大éĥ¨åĪĨ 人 +æ´» å¾Ĺ +åĵŃ æ³£ +è¶ Ļ +åıijçĹħ çİĩ +ä¸į 符 +åĨĽ å®ĺ +é¢Ī æ¤İ +æĸ°åĨł çĸ«æĥħ +æŁ¬ åŁĶ +æŁ¬åŁĶ 寨 +ä»»ä½ķ å½¢å¼ı +人 éĻħ +人éĻħ åħ³ç³» +æĢ» æī¿åĮħ +å¹³åĿĩ æ¯ı +æģŃ åĸľ +åĦ ĺ +åħµ 马 +è¿Ł åĪ° +å·¥ 伤 +çīĪæĿĥ å½Ĵ +çīĪæĿĥå½Ĵ åİŁ +æĭ¥ æĬ¤ +ç³Ĭ æ¶Ĥ +å¹² æ¶ī +å°ij ä¸įäºĨ +æĥ³ æī¾ +è´¹ çİĩ +该 éĻ¢ +èŀį åĮĸ +è¿İ åIJĪ +è§ĨåIJ¬ èĬĤ缮 +æł¼ 網ç«Ļ +çľī æ¯Ľ +欢è¿İ 大家 +家åºŃ æķĻèĤ² +ä¾µ èļĢ +ç»Ļ ä½łä»¬ +è¡Ģ液 循çݯ +å¯Ħ æīĺ +å°ĸ åı« +以ä¸ĭ åĩłä¸ª +è¿ĺ 以为 +åħ¶ä»ĸ çݩ家 +ç¬ij ç¬ij +æīĵ åIJ¬ +èĩªçĦ¶ ç§ijåѦ +åŁº ç«Ļ +ä¹Ŀ å·ŀ +ä¿Ŀ 驾 +ä¿Ŀ驾 æĬ¤ +ä¿Ŀ驾æĬ¤ èĪª +æĶ¾ çľ¼ +çŁ¥åIJį ä¼ģä¸ļ +ç¸ ® +ç¨ ½ +æļ ĩ +使çĶ¨ 網路 +é¢Ħ çķĻ +大 象 +åıijæĺİ ä¸ĵåĪ© +æĸĩ 娱 +éĢł ç¦ı +湿 润 +éĿ¢ æĿ¡ +æ¶Īè´¹ åįĩ级 +è®Ĭ å¾Ĺ +åĩł åIJį +ä» Ħ +认 æ¸ħ +è¿ľ æĻ¯ +æıĴ 座 +诸 侯 +åıĺ æĢģ +ç¦ı 彩 +è´§ æŀ¶ +失 æݧ +移åĬ¨ 端 +ä¸Ĭ åı¸ +éĢł 纸 +å¸ĥ æľĹ +çĴ ĩ +åı° åįĹ +åĮĹ京 åĨ¬å¥¥ +èĵĿ çīĻ +éķ¿ çŁŃ +æĬĺ å°Ħ +ç»ij æŀ¶ +å¯Ĵ åģĩ +转 åŁºåĽł +æĢ¥ äºİ +æŃ£ åĵģ +åħħ 滿 +大 纲 +æĬĹ ä½ĵ +è¨ĵ ç·´ +æĶ¶ ç´§ +æ¯Ķ è³½ +åħµ åĬĽ +æľ¬ æĽ¸ +äºĮ 代 +æĢ¥ è¯Ĭ +æĸĩ æ¡Ī +ç»ı åķĨ +æĻ¨ æĬ¥ +æ£ ĺ +æĢ»ä¹¦è®° åľ¨ +åıĹ éĤĢ +äºĶ åĽĽ +å²Ń åįĹ +çĪ± åIJĥ +åŁĥ å°Ķ +å¿ĥ å¢ĥ +è¦ĨçĽĸ éĿ¢ +å®ŀåľ¨æĺ¯ å¤ª +æł¹ åºķ +纷纷 表示 +åĹ ħ +éļıçĿĢ æŶéĹ´ +åİĨåı² æĤłä¹ħ +éħ ī +æĢ» éĺŁ +主é¢ĺ æ´»åĬ¨ +éĹ® åį· +é©¿ ç«Ļ +æı¡ ä½ı +åı¯èĥ½ 导èĩ´ +æ°ij éĸĵ +éĸĭ åķŁ +ä½Ĩ ä¸įéĻIJ +ä½Ĩä¸įéĻIJ äºİ +åįģ éĩĮ +å¨ ¥ +æįŁ èĢĹ +çĸı 导 +çݯ æ°§ +ç¥ŀ éĢļ +çĪ± å°Ķ +çĪ±å°Ķ åħ° +æľ´ å®ŀ +å¿« æĬ¥ +æĶ¶ åıĹ +æĪĸ 許 +èĥĮ éĿ¢ +æĸĩåĮĸ ä¼łåªĴ +ä¸ī åĢĭ +æĶ» åĬ¿ +å®ī 举 +å®ī举 å°¼ +åĿĩ å·² +顾 èĻij +éĦ Ń +è¿Ļ家 åħ¬åı¸ +åħ¬åijĬ 称 +æıIJä¾Ľ ä¼ĺè´¨ +稳æŃ¥ æİ¨è¿Ľ +å¤į è¯ķ +å°Ĩ é¢Ĩ +è°Ī èµ· +å¨ Ħ +è¿ŀ 线 +æ©Ł éĹľ +åºĶçĶ¨ åľºæĻ¯ +çĶ» åĥı +è´¢ è¿IJ +ä¿Ŀ éļª +çĹħ çIJĨ +æ¯Ľ 主å¸Ń +ä¸Ŀ 毫ä¸į +çĪ± å¥ĩ +çĪ±å¥ĩ èīº +ä¸ĵ家 ç»Ħ +åij¼ åĶ¤ +éĭ ¼ +çģ ¸ +é¢ĨåħĪ åľ°ä½į +æıIJ æĭĶ +龸 éģĵ +å±± åĿ¡ +èĿ İ +沸 èħ¾ +该 项 +ä»Ĭ çĶŁ +ä¸Ģç¯ĩ æĸĩç«ł +æĸ¹å¼ı è¿Ľè¡Į +é»ij 客 +æĶ¹ åĬ¨ +主 é¡Į +æķ£ å¸ĥ +ä»Ģä¹Ī åľ°æĸ¹ +åĮĸ åIJĪ +åĮĸåIJĪ çī© +éĿĻ çĶµ +æĢ» æĶ¶åħ¥ +å§Ķ ç»Ħç»ĩ +å§Ķç»Ħç»ĩ éĥ¨ +éĿĻ æĢģ +èĢģ åŃĹåı· +室 åıĭ +éĥ½ä¸į æķ¢ +æŀ¶ åŃIJ +çģµ æķı +审 è§Ĩ +æĤ£ åĦ¿ +å±± 寨 +èĸª èµĦ +é©° æı´ +éĥ¨åĪĨ åĨħ容 +好 ä¼¼ +æĪIJåijĺ åĽ½ +åľ¨æĪij çľĭæĿ¥ +åħ³æ³¨ 度 +éĻĪ æŁIJ +è¿Ļç§į äºĭæĥħ +éĢī å®ļ +ç²¾ åŃIJ +å£ģ çĶ» +æ±Ł æ·® +é«ĺ æĺĤ +æł¼ åĬĽ +è¼ © +åѦ åłĤ +æĤ¨ åIJĮæĦı +ä¸ĢåĪĩ éĥ½æĺ¯ +æ½ ¤ +éĸ ĥ +å¸ĮæľĽ èĩªå·± +ä¿ ĺ +æ±Ł åİ¿ +æ³ ¾ +ç§ij æķĻ +æīĵ è¿Ľ +ä¸į æħİ +å¯Ĵ åĨ¬ +æ¸Ķ æ°ij +鼷 æĸ¯ +主 å®° +æĹħ游 度åģĩ +çĶµåŃIJ éĤ®ä»¶ +æ±Ĥ å©ļ +éļİ æ®µ +åģ¥èº« æĪ¿ +注æĺİ åĩºå¤Ħ +äºĭæķħ åıijçĶŁ +级 以ä¸Ĭ +åŃĺ æ´» +æĸ½ èĤ¥ +èľľ èľĤ +åµ © +æĮĸæİĺ æľº +æĬĹ æĭĴ +ä¼ł 导 +æĺ¯ä»Ģä¹Ī åij¢ +ä¸Ĭå¹´ åIJĮæľŁ +建 åħļ +çĶŁ æħĭ +ä¿Ŀ ä½ı +款 车åŀĭ +人 èĦī +éļIJ èĶ½ +失 æķĪ +éģ¿ åŃķ +ç®Ģ 便 +谢谢 ä½ł +å®Ī ä½ı +æĶ¾ æĺł +è¨Ī çķ« +çݰ代 çī©æµģ +é¤IJ 廳 +æķħ å±ħ +大 大å°ı +大大å°ı å°ı +çī¹åĪ« 声æĺİ +éģį åıĬ +å¿ĥçIJĨ åĴ¨è¯¢ +è³ ´ +çĮ® è¡Ģ +å·²ç»ı è¾¾åĪ° +æīĵ æĭĽåij¼ +åıĮ è¾¹ +ä¸Ģæĸ¹éĿ¢ æĺ¯ +å´ĩ å°ļ +éĺ¿ å¯Į +éĺ¿å¯Į æ±Ĺ +æĮģ æľī人 +è± ģ +é£İ çŃĿ +åĬ¨ èį¡ +äºĨä¸Ģ ä¼ļ +äºĨä¸Ģä¼ļ åĦ¿ +ä¸ĩ 象 +çľĭ çĶµè§Ĩ +åįģä¸ī æĿ¡ +çĮĽ çĥĪ +è¦ģ ä¸įçĦ¶ +太æŀģ æĭ³ +å¼ķ çĪĨ +ç»ıè¿ĩ å¤ļå¹´ +游æĪı éĩĮçļĦ +é¾Ļ æ³ī +æłĩ éħį +è®ĵ ä»ĸåĢij +éĢł æŀĹ +åĮºåŁŁ æĢ§ +亿 ä¸ĩ +æĪĺçķ¥ å¸ĥå±Ģ +éķĩ æĶ¿åºľ +åĶ® 票 +çĶŁäº§ å·¥èīº +éķĩ åħļå§Ķ +ä¸Ńå°ı åŀĭ +æľ¨ èĢ³ +æ²³ è¾¹ +èĦ¾ èĥĥ +欢è¿İ æĤ¨ +åıĺ å¼Ĥ +缤 纷 +åŀĥåľ¾ 桶 +辩 è¯ģ +车 åºĵ +æ¯Ķ çİĩ +åħ´ æĹº +详ç»Ĩ äºĨ解 +å®ī å±ħ +çħ§ æĸĻ +æĸ¹ æīį +èµ ¦ +åĨ ķ +å¥Ķ èµ´ +å®Ŀ 鸡 +åľº åĿĩ +缮åīį æŃ£åľ¨ +åIJŀ åĻ¬ +è¿° èģĮ +æĩ µ +å¥ĩ çijŀ +ä»į å°Ĩ +èĪī 辦 +å·¥åķĨ å±Ģ +å¡ij èĥ¶ +åĬŀ å®ŀäºĭ +æĸ¹ æĸ¹éĿ¢ +æĸ¹æĸ¹éĿ¢ éĿ¢ +æĸĩåĮĸ èĬĤ +åħ¥ èģĮ +é¸ ¥ +ç©¿ éĢı +以 ä¹łè¿ijå¹³ +åį± éļª +æľ¦ èĥ§ +åİĨåı² æĢ§ +æķŀ å¼Ģ +ä¼Ļä¼´ åħ³ç³» +çŁ¿ åĮº +åĽ½éĻħ åľ¨çº¿ +ä¼łå¥ĩ éĩĮéĿ¢ +è¿ij äºĽ +è¿ijäºĽ å¹´ +åĬ£ åĬ¿ +æĶ»åĩ» åĬĽ +æĻº éĢł +ç¦ § +çİĭ åħĪçĶŁ +éĨ« çĶŁ +åĽĽ 项 +å®ŀ æĻ¯ +åĪĿ åĪĽ +å¿ĥ 裡 +æĻ¶ ä½ĵ +交 éĻħ +让 æ¶Īè´¹èĢħ +课 æĸĩ +æİĴ æ°Ķ +并ä¸į æĦıåij³ +缸 声 +第ä¸Ģ å±Ĭ +åİŁ èijĹ +éĽ ľ +没æľī 太大 +è¡¥ æ°´ +çī©æµģ ä¼ģä¸ļ +第äºĮ æī¹ +åħ¶å®ĥ éĹ®é¢ĺ +æİĮ éŨ +责任 å¿ĥ +é¤IJ åħ· +ç¾Ĭ æ¯Ľ +没æľī å¿ħè¦ģ +ä¹IJ åĽ¢ +è¿Ľ åŁİ +ä¸ĢçĤ¹ åĦ¿ +身 å½¢ +çļ®èĤ¤ çĹħ +æĺ ± +å¢ŀ èĩ³ +èģ² æĺİ +æıIJ è´¨ +ä½ĵèĤ² åľº +çŃ¹ 建 +é¬ Ĩ +车 çīĮ +éļĶ éŁ³ +è´Łè´£ åIJĮå¿Ĺ +丰 ç¡ķ +ä½Ľ éĻĢ +äºī åIJµ +åº ¶ +æ·¡ æ°´ +å°ı çĶ·åŃ© +ç§ģ èĩª +åĮĸ è¿Ľç¨ĭ +æĪĺ士 æĿ¥è¯´ +æ²¹ èħ» +èĦ±è´« èĩ´å¯Į +æĹ¥å¸¸ å·¥ä½ľ +交 èŀį +åĨľ è´¸ +åĨľè´¸ å¸Ĥåľº +åĵĪ çĻ» +çĶµ è´¹ +èµ ĺ +åıĮ èħ¿ +æĵĶ å¿ĥ +æĿ¥ 形容 +使åij½ æĦŁ +éĤ£ä¹Ī ç®Ģåįķ +èĬĻ èĵī +åĢŁæ¬¾ 人 +ç§Ģ 丽 +è®ĵ ä»ĸ +严åİī æīĵåĩ» +è³ ŀ +æļ « +çħ¤ æ°Ķ +çĪ¬ ä¸Ĭ +æ½ĩ æ´Ĵ +太 ä¹ħ +åij½ åIJį为 +è·¯ çĶ± +è·¯çĶ± åĻ¨ +é© ¯ +æıIJ æĹ© +æĬĹåĩ» çĸ«æĥħ +åĩ Ľ +交 åıĭ +éĶĢåĶ® æ¸łéģĵ +毫ä¸į çĬ¹è±« +èIJ¥ åľ° +çłĶ究 表æĺİ +é±¼ ç±» +æį¢ å±Ĭ +æİ¡ åıĸ +çī Ĩ +缼 å¼Ģ +沧 æ¡ij +åºŃ 审 +ç»ı æŁ¥ +åĬł å¼· +缸æ¯Ķ äºİ +ä¸ĵ çıŃ +ä½ĵ åŀĭ +被 害 +被害 人 +æĶ¶ 款 +åħ·æľī èī¯å¥½ +é«ĺå³° æľŁ +åģı ä½İ +åĦ Ł +åĨľä¸ļ ç§ijæĬĢ +çī¹æ®Ĭ æĥħåĨµ +å¦Ĥæŀľ çݩ家 +éķ¿ 约 +第åħŃ å±Ĭ +åħ¬å¼Ģ æĭĽèģĺ +åĪĩ æĸŃ +è¿« 使 +çĸĹ ç¨ĭ +第äºĮ ç§į +ä¸į åħį +å¹² èѦ +çŁ³ 榴 +åĹ £ +两 ç±» +çĪµ 士 +åŁİ乡 å±ħæ°ij +æѤ 项 +缴 è¾ĸ +缴è¾ĸ å¸Ĥ +åij¼ åºĶ +éĴ ¯ +ç¦ı å¾· +æľº 身 +æĵį åľº +æ¿Ĵ 临 +人群 ä¸Ń +èĤ¡ æ°ij +åŃ ½ +æ³ķ åħ° +é¨ İ +糯 ç±³ +æĢ» çļĦ +æĢ»çļĦ æĿ¥è¯´ +åħ¸ éĽħ +æĸ° éĻĪ +æĸ°éĻĪ 代谢 +缮 çĿ¹ +é¢Ħ è¨Ģ +è·Į çł´ +æĸ° ç¯ĩç«ł +æ¯Ĵ æĢ§ +åĸĿ èĮ¶ +æŁ¥ èİ· +亮 丽 +çĶŁäº§ åķĨ +æĶ¹ æĪIJ +为äºĨ æĽ´å¥½ +æ·± 交 +深交 æīĢ +æİ ĥ +ä¹Ļ èĤĿ +泸 å·ŀ +åħĪè¿Ľ æĬĢæľ¯ +è¾ĵ ç»Ļ +æķ£ æĪ· +æĢĿç»´ æĸ¹å¼ı +åºĹ 主 +è°ĭ æ±Ĥ +游æĪı æĬĢå·§ +ä¸Ģå¹´ 级 +çľ¼ è§Ĵ +ä¸Ńä»ĭ æľºæŀĦ +å·§ åIJĪ +éĺ² çĽĹ +导 è´Ń +æĪ Ĭ +æĽ´ éĢĤåIJĪ +åŁºæľ¬ ä¿¡æģ¯ +马 ä¸ģ +åħ»æ®ĸ åľº +åıį è¿ĩæĿ¥ +æݨ å´ĩ +å¯ĨåĪĩ åħ³æ³¨ +åŁºéĩij ç»ıçIJĨ +æĮī éĶ® +åĨħéĥ¨ æݧåĪ¶ +æĪIJåijĺ åįķä½į +æľ¯ è¯Ń +åĪ¶ æľį +åĪļ éľĢ +æ£Ģ ç´¢ +大大 æıIJé«ĺ +åģ¥åº· 管çIJĨ +èĩª æѤ +客æĪ· éľĢæ±Ĥ +丰 èĥ¸ +èµ· éĩį +èµ·éĩį æľº +æ¬ł 缺 +æ¡Ī åŃIJ +æĥħ人 èĬĤ +åħļ æł¡ +è¢ ľ +该 åī§ +迷失 ä¼łå¥ĩ +ç»ļ 丽 +åķ ª +æĹł ç§ģ +éĢ² ä¸ĢæŃ¥ +第ä¸Ģ ç«ł +åĻ¨ åħ· +åĨľ èµĦ +確 實 +åºı åĪĹ +娱ä¹IJ å¹³åı° +èŀįèµĦ 秣èµģ +èµĦæºIJ åħ±äº« +èģ½ åĪ° +æIJŀ å¾Ĺ +继ç»Ń ä¿ĿæĮģ +åIJ¯ èĴĻ +çľ º +ä¸Ŀ è·¯ +设æĸ½ 建设 +æİ¥ åľ° +æİ¥åľ° æ°Ķ +第ä¸ī åŃ£åº¦ +åŁº è°ĥ +åıij éŁ³ +社ä¼ļ èµĦæľ¬ +éĽĩ 主 +è¿ŀ èĥľ +没 åķ¥ +å» ¢ +赶 èµ´ +æ¼Ķ åĮĸ +åı¤ æĢª +çİĭ çĪ· +é¢Ħ åħĪ +å¼Ģ åħ· +åĽŀ é¦ĸ +åľ°ä¸ĭ æ°´ +å°ıç¼ĸ ä¸Ģèµ· +èµİ åĽŀ +åľ° è²Į +åĪĿ ä¸ī +åı¯ çĶ¨äºİ +éģĹ è¿¹ +è¿Ļ æī¹ +èĸª æ°´ +å¿ħçĦ¶ ä¼ļ +æ² ½ +éį ĭ +第ä¸Ģ éĥ¨ +åĪĬ çī© +å®ŀ ä¾ĭ +æ¸ħ åĩĢ +ä¸Ĭ èµĽåŃ£ +åĽ¾ 表 +éĤ® è½® +åĵª 裡 +缸 è§ģ +æī° ä¹± +æ¯ı æ¯ı +è¿Ļ è¾ĪåŃIJ +ç¡« éħ¸ +äºī 缸 +溯 æºIJ +åĩº ä¼Ĺ +çİī çŁ³ +åħ± çĶŁ +æŶéĹ´ 段 +éĩįè¦ģ æĮĩ示 +æ¶Īè´¹ éľĢæ±Ĥ +éķ¿ éķ¿ +éķ¿éķ¿ çļĦ +å®ī æĬļ +å¢ŀ é«ĺ +æľ¬ è½® +亲 çľ¼ +é£İ æ³¢ +èĢģ å¦Ī +æĶ¶è´¹ æłĩåĩĨ +åĨħ éĻĨ +æĮ¥ åıij +åįĩ åѦ +èĥ¸ åīį +åģı è¿ľ +纯 æ´ģ +æĸ½å·¥ åįķä½į +身 ä»· +è´¢ åĬĽ +çº ¶ +è£ħ çĶ² +æĺ¾ç¤º åĻ¨ +毫 åįĩ +æ·± çŁ¥ +èĢ¶ ç© +èĢ¶ç© Į +è¾ĥ éĩı +åľ¨ è¿ĩ渡 +åľ¨è¿ĩ渡 æľŁ +èĮ Ĺ +ä¸Ģ个 æĺŁæľŁ +èĬ · +è´¿ èµĤ +æ¿ ķ +æĩĤ äºĭ +ç§ § +åħħ å½ĵ +åĽ½ ç«ĭ +èĬ± çĵ£ +éĤĦ è¦ģ +åħ¬ åľĴ +触 åĬ¨ +æ³° å·ŀ +ä»Ģä¹Ī æł· +æ»ĭ åħ» +è¯Ħ åĪ¤ +æĮ¥ æīĭ +èĦ Ī +姥 姥 +è¿IJ è´¹ +æ¯ħ åĬĽ +å¿ĥ æĻº +ä¸į æİĴéĻ¤ +第ä¸ī 代 +éĢĢ è´§ +æĺŁ éĻħ +æ°¸ åĪ© +æĬ¤ åį« +çıŃ è½¦ +è¨Ģ è¡Į +ç¹ ª +主åĬ¨ æĢ§ +å·¥ç¨ĭ è´¨éĩı +éĥĬ åĮº +ä¸Ģ æłĭ +ä½Ĩ å®ŀéĻħä¸Ĭ +ä¸ī大 èģĮä¸ļ +åij¼ åı« +女 åħĴ +è¯ģåĪ¸ æĬķèµĦ +èĢĥ æħ® +çĤ« èĢĢ +æ²» 好 +åĺ ¶ +èĥ ¤ +åħīä¼ı åıijçĶµ +åĩł æŃ¥ +æīĢ æīĢ +æīĢæīĢ éķ¿ +çħ§ æł· +åĵ¥ 们 +è¯ Ľ +è¿Ļä¸Ģ åĪ» +çŁ¿ çī©è´¨ +ä¸įå¾Ĺ å·² +åIJĮ 缣 +ç»Ĩ å¾® +è·¯ èĻİ +çĻ¾ èĬ± +æ·· æ²Į +ä¸Ĭæµ· è¯ģåĪ¸ +éĢĢ ç¨İ +èµŀ åı¹ +æī®æ¼Ķ 游æĪı +åIJį åĪĹ +åIJįåĪĹ åīį +åIJįåĪĹåīį èĮħ +ç±³ å°Ķ +ä»Ģä¹Ī åİŁåĽł +å®īåħ¨ ä¿Ŀéļľ +ä¸Ģåıª æīĭ +ä¹³ ä¸ļ +ä¸į çĶĺ +æĥħ åķĨ +æĮ¡ ä½ı +åİŁåĽł ä¹ĭä¸Ģ +è¿Ļ 两天 +çĥĺ çĦĻ +è± ¬ +ä½ł 以为 +没 è§ģè¿ĩ +åĵªå®¶ 好 +åīį ä»» +è¿Ľ è´§ +éĢĢ åĽŀ +串 èģĶ +èĩ³ æĸ¼ +åĨ° æ·ĩ +åĨ°æ·ĩ æ·ĭ +æŁ¥çľĭ 详æĥħ +çı¾ 實 +æݨ æµĭ +æİ¥ æīĭ +éļ¶ å±ŀäºİ +åŁİå¸Ĥ 群 +æĿİ åħĪçĶŁ +çŁ¿ æ³īæ°´ +çī¹ ä»· +æĽ´å¤ļ 精彩 +ç¨ĭ å¼ı +读 æĩĤ +å±ı èĶ½ +奥 æŀĹ +奥æŀĹ åĮ¹ +奥æŀĹåĮ¹ åħĭ +红 èĸ¯ +å¥ ® +å®Ŀ çİī +網 絡 +è² § +欧 å¼ı +çĻ½ ç³ĸ +èĩªçĦ¶ çģ¾å®³ +åijĬè¯ī 她 +å» ļ +çĤ¹åĩ» æŁ¥çľĭ +é£İ 湿 +èµĦ产 éĩįç»Ħ +ä¹Łä¸į ä¾ĭå¤ĸ +åįĬ 个å°ıæŶ +åIJ¸å¼ķ æĽ´å¤ļ +æŶéĹ´ èĬĤçĤ¹ +æĶ¶ 纳 +åIJ¸ æ¯Ĵ +èĢģ 乡 +çIJ ħ +æľĢ çµĤ +åıį æĦŁ +çĶ¨ 微信 +çĶ¨å¾®ä¿¡ æī« +éĢŁ çİĩ +大 çĨĬçĮ« +åı¯ æĥ³ +åı¯æĥ³ èĢĮ +åı¯æĥ³èĢĮ çŁ¥ +åĴ § +èµ° åħ¥ +碳 éħ¸ +èĮĥ åĨ° +èĮĥåĨ° åĨ° +被 åĪ¤ +积æŀģ æݨåĬ¨ +足 足 +ç²Ĵ åŃIJ +大 å®Ĺ +大å®Ĺ åķĨåĵģ +ç½ij绾 ç§ijæĬĢ +æĽ¼ åŁİ +å·² ä¹ħ +å·²ä¹ħ çļĦ +秦 çļĩ +秦çļĩ å²Ľ +ä»» æķĻ +åĶ¯ ç¾İ +æ·¡ åĮĸ +æ¡Ĥ èĬ± +çŁ¥è¯Ĩ åĪĨåŃIJ +æĩĴ å¾Ĺ +主 åħ¬ +设计 çIJĨ念 +è³ º +æīĢ æıIJä¾Ľ +æīĢæıIJä¾Ľ ä¹ĭ +æĶ» åħĭ +åĤ ¾ +è¯Ń æ³ķ +åįĥ åı¤ +éĸĭ æĶ¾ +第ä¸Ģ èĬĤ +éĤĦ æ²Ĵ +éĢĥ çĶŁ +æ³ Ĺ +åİ¿ å§Ķ书记 +ä½ľèĢħ æīĢæľī +çħ ½ +ç» ħ +æł ħ +æľ´ ç´ł +çijķ çĸµ +åĮħ åĮħ +æ°ij主 åħļ +ä¸į è¿ľå¤Ħ +å¥ĩ å¼Ĥ +åĺ» åĺ» +æī ¼ +ç¿» å¼Ģ +æĢİ èĥ½ +éģ´ éĢī +解 éĩĭ +å¹¼ ç¨ļ +è¦ģ 好好 +趴 åľ¨ +ç´¢ åıĸ +ç»Ī çĶŁ +åħ¨ æµģç¨ĭ +éģ© çķ¶ +åįıè°ĥ åıijå±ķ +æĬ¥ ä»ĩ +ç§ijæĬĢ åĽŃ +ä»Ģä¹Ī éĥ½ä¸į +æľĢåIJİ ä¸Ģ次 +ç»Ļ人 ä¸Ģç§į +æł¸ å®ļ +被 åĪĹåħ¥ +æĦı æĥ³ä¸įåĪ° +èĢĥ æŁ¥ +åľ¨æѤ ä¹ĭåīį +æīĵ çIJĥ +è¶ĬæĿ¥è¶Ĭ å°ij +å®ļ å¾ĭ +è¡ĮæĶ¿ æľºåħ³ +ä½ıæĪ¿ åħ¬ç§¯ +å°ıå§IJ å§IJ +ä¸ī èı± +ä¿® è¡¥ +èŀĥ èŁ¹ +西 çĶ² +æĢ ł +çŃī å¤ļ项 +产ä¸ļ éĽĨèģļ +ä»·æł¼ ä¸Ĭ涨 +åħ¬åħ± åľºæīĢ +è¢ĭ åŃIJ +æĨ§ æĨ¬ +çļĦæĸ¹å¼ı æĿ¥ +åĪ° è´¦ +çģ ½ +å·´ èı² +å·´èı² çī¹ +æ¼Ķ ä¹ł +èŃ¦ç¤º æķĻèĤ² +çķı æĥ§ +å¼ķ æµģ +æĶ¶ æĶ¯ +å±Ĥ åĩº +å±Ĥåĩº ä¸į +å±Ĥåĩºä¸į ç©· +æijĩ æ»ļ +辦 çIJĨ +纵 è§Ĥ +æķij æµİ +家 éĥ½çŁ¥éģĵ +åĮ ¯ +å°ı 鸣 +ä»» åĭĻ +计 åħ¥ +ç«ŀ éĢī +å¼ĢèįĴ æĹ¶æľŁ +åij¨ æģ© +åij¨æģ© æĿ¥ +交 ç»ĩ +çķ¢ æ¥Ń +æł¹æį® èĩªå·± +æĸ°äºº çݩ家 +åѵåĮĸ åĻ¨ +éĩĩ æļĸ +å¹³åĿĩ æ°´å¹³ +åħ¬å¼Ģ 课 +失 åĪ© +伺 æľį +çĬ ģ +忽 æĤł +主è¦ģ éĽĨä¸Ń +æ¤į æłij +æ¯Ĺ éĤ» +èĩº çģ£ +åĩºåĽ½ çķĻåѦ +æĬĹ éľĩ +æĥ© æĪĴ +å¹´åºķ åīį +åĴ¸ éĺ³ +æ°ij å±ħ +大çIJĨ çŁ³ +éĿ ³ +éķ ĸ +æ¸ħ è¿ľ +è£ħ è½½ +èĩ Ģ +å½± ä¸ļ +å¼Ł åħĦ +æĤ² è§Ĥ +çĿĢçľ¼ äºİ +æįį åį« +åī¥ 夺 +ç¯ Ĩ +å¾Ī éķ¿æŶéĹ´ +è¥ Ł +第ä¸Ģ çĻ¾ +ä¸ĢåĪĨ éĴ± +æĸ°éĹ» è®°èĢħ +éķ· æľŁ +æ³ķ æĪĺç»ĦåIJĪ +è°ģ çŁ¥éģĵ +èħ° éĥ¨ +æ±ī åł¡ +åħ¥ çĿ¡ +åįĸ æİī +æ¶Īè²» èĢħ +æĥ¯ ä¾ĭ +æĥ³ äºĨ +æĥ³äºĨ æĥ³ +èĢģæŧ å°ıåĮº +ä¼ł è¨Ģ +åĪĨæķ° 线 +æµģ 泪 +ç»Ħç»ĩ é¢Ĩ导 +äºļ åĨĽ +å¢ŀåĢ¼ æľįåĬ¡ +å¾ ¹ +ä¼ ¶ +äºĽ 许 +å¸ĥ èݱ +强 æĤį +宫 å»· +绿 èĮ¶ +åĮ ¡ +å¾Ī æŃ£å¸¸ +æĺ¥ å¤ı +æ¯ Ļ +è¯Ħ æ¯Ķ +åĩ¡ äºĭ +æĬī æĭ© +åĢĴ éľī +éĩį 度 +åįıä¼ļ ä¼ļéķ¿ +忧 èĻij +ä¸ĭ ä¸Ģç¯ĩ +沪 æ·± +æĪ İ +æīĵ ä»Ĺ +åįĪ é¥Ń +å¹´é¾Ħ 段 +ä¸ŃåĽ½ 足çIJĥ +设计 æĸ¹æ¡Ī +åºĶçĶ¨ æŁ¥çľĭ +é¢Ħ æĸĻ +åĹ ¡ +ç¥ĸ çĪ¶ +çļĦä¸Ģ åijĺ +æ´Ĺ å¹²åĩĢ +åİĨåı² æĸ° +åİĨåı²æĸ° é«ĺ +çĭ¬ åħ· +æħĭ 度 +æīĵ 交 +æīĵ交 éģĵ +é»Ħ çŁ³ +çĽ¼ æľĽ +çī§ åľº +转 弯 +åįĩ åįİ +åĨį ä¹Łæ²¡æľī +èĭ± æīį +æĽ´ åIJį为 +åĢŁ çĶ¨ +çºł éĶĻ +ç»Ŀ对 ä¸įä¼ļ +çİĭ çīĮ +çĽĨ åľ° +失 è°ĥ +好 象 +é³ ¥ +ä¿Ŀ ä¿® +åĽĽä¸ª èĩªä¿¡ +头 çļ® +åİŁ åīĩ +æĬ¥ æ¡Ī +奴 éļ¶ +å³ Ļ +è°ĥ æĸĻ +ä¹Ł 許 +èIJ½ åĪ° +èIJ½åĪ° å®ŀ +èIJ½åĪ°å®ŀ å¤Ħ +çĦļ çĥ§ +çĶŁæ´» çݯå¢ĥ +åºĶ åıĬæŶ +è¶Ĭ è¿ĩ +æĦŁ è¬Ŀ +æĻ¯ å¾· +æĻ¯å¾· éķĩ +çĬ Ģ +身 éĤĬ +ç¨İåĬ¡ æĢ»å±Ģ +åĩĢ åľŁ +ä¾µ åįł +åĬ¨ å·¥ +å¹´ ä¹ĭ +å¹´ä¹ĭ ä¹ħ +第äºĮ èĬĤ +åĬ¨çī© åĽŃ +第ä¸Ģ 书记 +éħ ļ +çĶŁäº§ 设å¤ĩ +æŁIJç§į ç¨ĭ度 +åľ Ń +åĩŃåĢŁ çĿĢ +éĺħ è§Ī +çĻ½ æ²Ļ +æ²¹ çĥŁ +çªģçł´ åı£ +åıĹ å½±åĵį +åı¯ä»¥ æĽ´å¥½ +å³° åĢ¼ +æĿĤ è´¨ +宿 è¿ģ +çĽĺ æ´» +æ¿Ģ èµ· +åĦ¿ ç§ij +åĿIJ èIJ½åľ¨ +æĮª å¨ģ +æµ· å²Ľ +绣 绣 +éĻ ¨ +ä¼ĺ äºİ +å°Ī 家 +ä¸Ģ éĤĬ +èIJ Ĭ +äºĨä¸Ģ åı£ +æ²ĥå°Ķ æ²ĥ +æŃ£å¸¸ 使çĶ¨ +æĻ®éģį åŃĺåľ¨ +丰 满 +çĶ» åį· +åºĶ æĶ¶ +åºĶæĶ¶ è´¦ +åºĶæĶ¶è´¦ 款 +å®Įæķ´ çĥŃ +å®Įæķ´çĥŃ æ¦ľ +注 è§Ĩ +çĨ Ħ +èº ¬ +éĶĢåĶ® 人åijĺ +è¶ĭ åIJij +çĦ¦ æĢ¥ +åįģå¹´ åīį +ä¼łç»Ł 产ä¸ļ +質 éĩı +åĩ¤åĩ° ç½ij +èµĦæºIJ æķ´åIJĪ +æ¶Į åħ¥ +æĸĩåĮĸ ä¼łæĴŃ +çķĮ 第ä¸Ģ +æ°´ æ³µ +宫 殿 +æİ¢ 寻 +ä¿® åīª +æĦı è¦ĭ +ç´Ĭ ä¹± +æĽ ī +çĻ½ è¡£ +èĻİ åį« +ç´§ æī£ +å¤Ħå¤Ħ éķ¿ +åĪĽå»º å·¥ä½ľ +红 æŀ£ +饼 å¹² +äºĨ åįĬ天 +ä¼ļå½±åĵį åĪ° +çĽ¸ä¿¡ 大家 +èħ¾ é£ŀ +å°± å¦ĤåIJĮ +ä¸ĭéĿ¢ å°ıç¼ĸ +æ°ijèIJ¥ ç»ıæµİ +æĻ ¦ +è£ħ æī® +é»ij å¤ľ +常 å¾· +å·¥ä¸ļ 大åѦ +æĺİ çŁ¥ +éĺŁåijĺ 们 +åIJ¬ 课 +æ¯ı éļĶ +羣æĺ¯ å¤ª +åIJĪä½ľ åħ±èµ¢ +çIJĨ åıij +æīį å¹² +çľĭ èµ·ä¾Ĩ +殿 ä¸ĭ +å®ī éĺ³ +æīĢ 产çĶŁçļĦ +éĽĩ ä½£ +æĬ¬èµ· 头 +æį® æĬ¥éģĵ +éļĨéĩį 举è¡Į +交 éĶĻ +è¶ħ é¢Ŀ +åĮĸ çĸĹ +é¡ Ĩ +纵 æ·± +çĪ±åĽ½ 主ä¹ī +éĻ¢ åī¯éĻ¢éķ¿ +è® ³ +羣æŃ£ åģļåĪ° +åѤ åįķ +èĩªçĦ¶ èĢĮ +èĩªçĦ¶èĢĮ çĦ¶ +ä¿® 身 +èĬ ¹ +æģ¯ æģ¯ +æģ¯æģ¯ 缸åħ³ +驾 æł¡ +æİ© 饰 +æ³½ è¿ŀ +æ³½è¿ŀ æĸ¯åŁº +举 æŃ¢ +管çIJĨ ä½ĵåĪ¶ +åħ¶ä¸Ń ä¹ĭä¸Ģ +æĿ¾ å¼Ľ +æĭ¦ æĪª +åį« åģ¥ +åį«åģ¥ å§Ķ +ä»İ åݻ年 +åĤ ¢ +è´Ń 票 +åĽ¾ æłĩ +æ²³ 西 +æ°ijæĶ¿ å±Ģ +ç§ģ èIJ¥ +å¤ĸåĽ½ è¯Ń +å¹² è´§ +æĵ¦ æĭŃ +åľ° ä¸Ń +åľ°ä¸Ń æµ· +æµĵ æµĵ +æµĵæµĵ çļĦ +å§ĭ 建 +å§ĭ建 äºİ +ç¶ĵ æŃ· +è·¯ æ¼Ķ +æļ´ é£İ +åŁº è¾ħ +æī¶è´« å·¥ä½ľ +ä¸Ģ缴 å¤Ħäºİ +æĥħ 趣 +äºĮ åŃ£åº¦ +åİĮ æģ¶ +顺åĪ© å®ĮæĪIJ +æŁ¥ å°ģ +顶 端 +ä¸į åŃķ +ä¸Ģ大 åłĨ +被 æ·ĺæ±° +æĺ¯ çĶ¨æĿ¥ +æľĢ åIJĪéĢĤ +亮 çľ¼ +并ä¸įæĺ¯ å¾Ī +ç§ijçłĶ éĻ¢ +ç§ijçłĶéĻ¢ æīĢ +ç² Ł +é¢Ī éĥ¨ +é»ĺé»ĺ åľ° +é«ĺä¸Ń çĶŁ +æĹıèĩªæ²» åİ¿ +æķĻåѦ è´¨éĩı +æĪĺ çģ« +åĿİ åĿ· +æIJŃ ä¹ĺ +è¯Ĺ æĦı +åĪij èѦ +åĩº æ±Ĺ +åįģåħŃ æĿ¡ +请 åıĬæŶ +åĨľä¸ļ 大åѦ +èIJ½ åı¶ +æĢ» èĢĮè¨Ģ +æĢ»èĢĮè¨Ģ ä¹ĭ +æĿľ åħ° +æĿľåħ° çī¹ +éĻª ä½ł +åħ¬ æĬ¥ +çķĻè¨Ģ æĿ¿ +éĺħ åİĨ +競 çĪŃ +ç»Ļ åĪ«äºº +æĹ¥æĬ¥ 社 +åĿIJ èIJ½ +åĿIJèIJ½ äºİ +éĩij åŃĹ +éĩijåŃĹ å¡Ķ +åĽ ¤ +è¯Ŀ åī§ +æĮģç»Ń æİ¨è¿Ľ +æ¼ı æ°´ +詳 ç´° +æĢĢ æĬ± +åıĺ å¹» +饥 饿 +éļIJ 身 +个 èµĽåŃ£ +åĵ¡ å·¥ +æģ¢å¤į æŃ£å¸¸ +äºĨ 好å¤ļ +æĺŁ å·´ +æĺŁå·´ åħĭ +åħī çݯ +å¸ħ åĵ¥ +çĻ½ éĽª +ç¨į ç¨į +计 æıIJ +æĦĽ æĥħ +éİ ĸ +ä¿¡ éĺ³ +è§Ģ å¯Ł +å¦Ĥæŀľä½ł æĥ³ +缸æ¯Ķ ä¹ĭä¸ĭ +解 å¼Ģ +æīĵåį° æľº +身 躯 +ç²¾ç¥ŀ æĸĩæĺİ +èĤ¡ æĮĩ +å¾® åĪĽ +红 èĮ¶ +èĩ´ çĻĮ +æģ© æĸ½ +èħ¿ éĥ¨ +大åŀĭ å¤ļ人 +å®ī åĢį +è¾ħ导 åijĺ +èĪª éģĵ +å¸ĥ å°Ķ +åįĹå®ģ å¸Ĥ +ä¸ĬçıŃ æĹı +侧 ç»ĵæŀĦæĢ§ +追 éļı +å½ĵåľ° æĶ¿åºľ +èµ° åĩºæĿ¥ +éĩijèŀį ä¸ļ +丼 书 +é¡¹çĽ® ç»ıçIJĨ +è¿ĩ æĪ· +骨 æŀ¶ +è¡ Ļ +ä»Ģ 麽 +èħ ĭ +è¦ģ 害 +åľ¨ åºĬä¸Ĭ +代è¨Ģ 人 +並 å°ĩ +åIJĦ个 æĸ¹éĿ¢ +è°´ è´£ +åħ± æĮ¯ +åį³å°Ĩ åĪ°æĿ¥ +èĤº çĻĮ +ä¾Ľ éĶĢ +丼 æŀĹ +èµ ĥ +åįģä½Ļ å¹´ +åĭĺ æİ¢ +飵 åij³ +èĭ¦ ç¬ij +æľĢ大 ç¨ĭ度 +éĩįçĤ¹ åħ³æ³¨ +ä¹ĭ 举 +满 æĢĢ +åıĹåĪ° å½±åĵį +æĭĽ æĬķæłĩ +è¡¥ é½IJ +西 红 +西红 æŁ¿ +é¬ § +è£ħ åį¸ +éĤ» éĩĮ +èĤĩ äºĭ +æİĴ æ¯Ĵ +åѤ åĦ¿ +鼶 è·Ŀ离 +å®ŀ å¹² +çľĭ æŁ¥çľĭ +æĶ¶è´¹ ç«Ļ +ç» · +åħ¬çĽĬ æĢ§ +éĢĴ ç»Ļ +æĶ» æīĵ +æĺŁçº§ éħĴåºĹ +æĺİ åªļ +çį¨ ç«ĭ +è¯Ŀè¯Ń æĿĥ +ä¸ĢæŃ¥ ä¸ĢæŃ¥ +书æ³ķ 家 +æľªç»ı æİĪæĿĥ +çŁ³ èĨı +åĩŃ ä»Ģä¹Ī +çļĦ æĹ¥ +çļĦæĹ¥ åŃIJéĩĮ +诱 人 +çĻ¾åĪĨ çĻ¾ +èĪĪ 趣 +å¼ł åħĪçĶŁ +èĢģçĪ· åŃIJ +æ³¢ çī¹ +åŁºéĩij 份é¢Ŀ +æ²Ļåıij ä¸Ĭ +å¥ĭæĸŠ缮æłĩ +æ°¢ èĥ½ +æ²ĥå°Ķ çİĽ +義 åĭĻ +éŁ³ ç®± +æ²ī 浸 +æ²ī浸 åľ¨ +èĭ± åľĭ +çģ¯ çģ« +è¿Ľ 项 +两 端 +ä¹Ķ 丹 +èĦ¸ é¢Ĭ +åıijå±ķ æ½ľåĬĽ +åĭķ ä½ľ +åĵĪ ä½Ľ +å®´ ä¼ļ +æ§ į +ç«ĭ å¿Ĺ +ç¡ķ士 åѦä½į +åĭĭ ç«ł +è¿Ļ åľºæ¯ĶèµĽ +æĮģ å¹³ +éķĢ éĶĮ +èĭ± çī¹ +èĭ±çī¹ å°Ķ +æķĻ èģĮå·¥ +åĬŁ åĬĽ +该 æ¡Ī +ä¸Ģ æ¢Ŀ +åĺī å¹´ +åĺīå¹´ åįİ +è¿« ä¸įåıĬ +è¿«ä¸įåıĬ å¾ħ +è¿Ļ个 æĹ¶ä»£ +精彩 æĴŃæĬ¥ +人 èĦ¸ +人èĦ¸ è¯ĨåĪ« +æ£Ģå¯Ł å®ĺ +å°ı èħ¿ +éĨĴ 缮 +åħļ æĢ» +åħļæĢ» æĶ¯ +æĪ Ł +èĮ« çĦ¶ +è±Ĩ æµĨ +主 æ²» +éĿĴæµ· çľģ +åĪijäºĭ 责任 +çł ° +ä¹ĭ æ¬ĬåĪ© +äºĶ å®ĺ +è¿· æĥij +åħ¥ åºĵ +家 纺 +å¼¹ ç°§ +åįģäºĶ æĿ¡ +ç»Ļ å®Ŀå®Ŀ +èĪªç©º èĪªå¤© +å¾Ģ å¤ĸ +å¼ķ åĬĽ +çľ¼ çļ® +æ¶ī 足 +æĿ¥ 宾 +åľ¨çº¿ è§Ĵèī² +çĥŃ éĶĢ +æµģ éĢĿ +泡 泡 +éĻį å¹ħ +è´ŁéĿ¢ å½±åĵį +红 楼 +红楼 梦 +éļĶ çĿĢ +ä¾¥ 幸 +许 ä¹ħ +åĴĮ çĿ¦ +èŃ ½ +使çĶ¨èĢħ æĪĸ +ä¹° åįķ +è¿ ´ +é£İ æīĩ +æķĻ 師 +æ¡ĮåŃIJ ä¸Ĭ +å¾Ī æ¼Ĥ亮 +åł± å°İ +第ä¸Ģ åŃ£åº¦ +ç©© å®ļ +æĤ² åĵĢ +çĿĢåĬĽ æīĵéĢł +æĮ Ł +è·¯ æ¡¥ +åij IJ +åľ£è¯ŀ èĬĤ +çļĩ åŃIJ +ä»ĩ æģ¨ +éħĿ éħ¿ +ä¸į éĹ´ +ä¸įéĹ´ æĸŃ +æĮĩ å°ĸ +ä¸ŃåĽ½ ç½ij游 +åŀ £ +æĦıè§ģ 建议 +æ¯ħ çĦ¶ +亮 度 +èģĶ è°Ĭ +å½ķ åħ¥ +åĦ ² +å¨ĺ 家 +ç§ij å°Ķ +ä¹Łæ²¡ ä»Ģä¹Ī +æł¹æį® ä¸įåIJĮ +åı¶ ä¿® +åĢ¼ å®Ī +æľ« 端 +åĪ ¨ +åĤµ åĭĻ +èģ¯ åIJĪ +å¥ĩ å¹» +èĻļ æŀĦ +é»Ħ æĺı +å¹³ åĿ¦ +æµģ æ°ĵ +æĸ° åŁºå»º +æĮ½ æķij +åįİ å°Ķ +åįİå°Ķ è¡Ĺ +æľĢ åıĹ欢è¿İ +ç»Ń 约 +å¼Ĭ 端 +éŃĶ æ³ķå¸Ī +éŃĶæ³ķå¸Ī åĴĮ +åħ·ä½ĵ åĨħ容 +çIJī çĴĥ +æī© 容 +èĮ¶ åĽŃ +主ä¹ī èĢħ +ç«ĭ éĿ¢ +æİ¥åıĹ éĩĩ访 +åĩº åħ¥å¢ĥ +ç§ij åįı +éĴ ³ +çµIJ æ§ĭ +ç»ĵæŀľ æĺ¾ç¤º +åı° è´¦ +å°± æĿ¥çľĭçľĭ +èĩª æķij +åıį æĩī +åİ» åĵªåĦ¿ +è¿Ļ é¦ĸ +è¿Ļé¦ĸ æŃĮ +åIJ¬ ä¼Ĺ +å¤ĸ 壳 +ä½ĵèĤ² é¦Ĩ +實 æĸ½ +èŀº ä¸Ŀ +æĭī åįĩ +çĮĽ åľ° +åħ¨åĽ½ 人æ°ij +æĤī å°¼ +æĹı 群 +åĽ¢ åijĺ +两个 å°ıæŶ +åľ¨ çݩ家 +åľ¨çݩ家 ä¸Ń +çĶľ çĶľ +æĬķ è¡Į +åįĶ æľĥ +éĻ ¡ +åĬłå·¥ åİĤ +æ¦Ĩ æŀĹ +æŃ» è§Ĵ +åĨħ å¹ķ +æīĢæľī æĥħèĬĤ +åĪ· åį¡ +æ°´ èĤ¿ +èĥĥ åı£ +å«Į å¼ĥ +æ²® 丧 +ä¸īå¹´ 级 +æ¶Ĥ å±Ĥ +å¿ĥ 仪 +å¿ĥ仪 çļĦ +å¤ Ń +é¦ĸ è½® +æĹłè®ºæĺ¯ åħ¶ +éĢı æ°Ķ +äºĮ åįģäºĶ +ç® « +åĬŁ åĬ³ +çŃ¾ ä¸ĭ +æ²ī è¿· +æķij åij½ +éĹª éĹª +åIJĥ äºı +å±ķ åĵģ +åį³æŶ åıijçĶŁ +ç¶ ľ +綾 åIJĪ +æłĩ æĺİ +çľĭ çĶµå½± +åħ¬ ç«ł +éĺ¿ æ£® +éĺ¿æ£® 纳 +身 åĪĽéĢł +身åĪĽéĢł çļĦ +æ¸Ľ å°ij +åĢ¼å¾Ĺ åħ³æ³¨ +鼶åĶ® åķĨ +æįĨ ç»ij +è¸ı åħ¥ +èĽ Ł +æŁ´ 纳 +èĢģ åħµ +绿èī² çݯä¿Ŀ +é¹ Ń +麻 æľ¨ +æıŃ çīĮ +è¿Ļ款 车 +ç¾İ å¾· +ç¾İå¾· åħ¬åı¸ +æ¶ § +è°ģ çŁ¥ +æ´ĭ èij± +æ¯į æł¡ +ä¸Ģ éĹª +çĶ· 主è§Ĵ +æĹłçº¿ çĶµ +å±ł å®° +æĺ¯ éŁ©åĽ½ +æĺ¯éŁ©åĽ½ 娱 +容 è²Į +åĿĩ 使åħ¶ +太 å¿« +å¹´ çĶ± +å¹´çĶ± 缼 +èĭ¦ èĭ¦ +åĬĽ è¿ĺæĺ¯ +åĬĽè¿ĺæĺ¯ èĩª +æĨ © +èģ¯ 絡 +åĶ ¾ +åħ·æľī æĪĺ士 +追 éĹ® +åłĨ æĶ¾ +åıį 驳 +å®ŀäºĭ æ±Ĥ +å®ŀäºĭæ±Ĥ æĺ¯ +åѸ éĻ¢ +åįģ åĩłä¸ª +æķij æĬ¤ +æķijæĬ¤ 车 +ç½ij绾 ä¼łæĴŃ +åįģåħ« å±Ĭ +éĥ¨ åī¯ +éĥ¨åī¯ éĥ¨éķ¿ +çĹ´ è¿· +管çIJĨ æĿ¡ä¾ĭ +èŀį 为ä¸Ģä½ĵ +æĢ» 产åĢ¼ +è³ ĵ +ä¸ĥ æĺŁ +çıŃ ç»Ħ +绣 é¢Ĩ +请 大家 +éĩij éĻµ +èĪħ èĪħ +æµ· æ¹¾ +æĸ½ çŃĸ +享 èªī +éº ¥ +端 åįĪ +绿 åŁİ +確 ä¿Ŀ +å·´ æĭī +åĨĴ çĿĢ +æħ· æħ¨ +个人 è§ĤçĤ¹ +ä¹Ļ çĥ¯ +ç¡ħ è°· +éĸĭ å±ķ +å°ļ 书 +åĿļ 飧 +åº µ +èĢģ é¾Ħ +èĢģé¾Ħ åĮĸ +羨 çľ¼ +绿 æ°´ +绿水 éĿĴå±± +书 é¦Ļ +主åĬĽ åĨĽ +æīįæĺ¯ çľŁæŃ£ +æĬ¢ åħĪ +æĪIJå°± æĦŁ +éĩį æŀĦ +éĴ¢ åİĤ +æĪIJ 份 +èĬ± 纹 +ä¹ĭ äºī +å¹² ç»Ĩèĥŀ +æĹ¢ åı¯ä»¥ +ç¹ģ çIJIJ +æĦļ èł¢ +éĿŀ常 æĺİæĺ¾ +ä½ĵ 彩 +æĬĢ æ³ķ +æĿĨ èıĮ +å¹¿æ³Ľ åħ³æ³¨ +åĮĹ å®ĭ +å§Ĭ 妹 +åįı åĬŀ +æ·® åįĹ +çĥ ı +æ´Ĺ èĦ¸ +åıĹ è®¿ +åıĹ访 èĢħ +éĩįè¦ģ åĽłç´ł +å½±è§Ĩ åī§ +综èīº èĬĤ缮 +èľķ åıĺ +äºĮ 线 +äºĮ线 åŁİå¸Ĥ +ä¼Ĭ å§ĭ +çıĬ çijļ +èĩª æŁ¥ +åħ¥ åĽŃ +åĩ¶ æīĭ +åħ¬ è¯ī +éģĩ éļ¾ +éĩĩçŁ¿ çŃī +èĩª çIJĨ +åĸ· æ¶Ĥ +æī© åħħ +éĢı è§Ĩ +é«ĺéĢŁ å¢ŀéķ¿ +åĽ¾ çĶ» +ç¾ ¹ +èĤĩ åºĨ +è¾ľ è´Ł +èµĶ ä»ĺ +è· ¡ +åģ¥åº· æĪIJéķ¿ +以ä¸Ĭ åѦåİĨ +åıĸå¾Ĺ 以åıĬ +æ²ī 积 +åįģä¹Ŀ å±Ĭ +缸éĹľ æľįåĭĻ +æī§ åĭ¤ +åī¯ åİ¿éķ¿ +å¯ ° +åģľ æ»ŀ +æ·¹ 没 +çŁ³ çģ° +çį ¸ +åĢ ¦ +ç¾İ åªĴ +æķĻ æ¡Ī +åĬł çĽĸ +åħ¬å¼Ģ èµĽ +å¥ł åŁº +æĺĨ èĻ« +çŀ ħ +磷 éħ¸ +äºī åĪĽ +çİĭ æĻĵ +ç¼ĵ åĨ² +åİļ åİļ +åİļåİļ çļĦ +æŀ£ åºĦ +ç²¾ çĽĬ +ç²¾çĽĬ æ±Ĥ +ç²¾çĽĬæ±Ĥ ç²¾ +åĪĨæĶ¯ æľºæŀĦ +å®ŀæĸ½ ç»ĨåĪĻ +æĸ° èµĽåŃ£ +總 çµ± +éĢł è¡Ģ +é¢ĩ åħ· +é»Ħ åŁĶ +è¡Ģ èĦĤ +交éĢļ å·¥åħ· +å³ ¥ +æĹıèĩªæ²» å·ŀ +寺 éĻ¢ +確 å®ļ +æ¦Ĥ念 èĤ¡ +æĦŁ å®ĺ +æŁľ åı° +åĶ Ķ +çŀŃ解 並 +æĢ» ä»· +åIJ¸ åħ¥ +æĢ ¼ +æĻļ éĹ´ +å±Ĭ æ¯ķä¸ļçĶŁ +çĶŁ å§ľ +éĺħ读 åħ¨æĸĩ +å¾ĹåĪ° æľīæķĪ +æIJľ æķij +åİĨ æĿ¥ +èŃī æĺİ +åĥ » +èĨ³ é£Ł +åĦĦ åħĥ +æīĵ åİĭ +宾 客 +åķ ¼ +ä¸ĢçĻ¾ å¤ļ +æ·±åħ¥ 人å¿ĥ +æ¢ħ å·ŀ +çłĶ åѦ +åħ³ ä¹İ +è¼ Ľ +亲 åıĭ +éħį æĸĻ +æĪij çĪ±ä½ł +è´¸æĺĵ æĪĺ +æľī èī² +æľīèī² éĩijå±ŀ +æįIJ åĬ© +为 é¦ĸ +为é¦ĸ çļĦ +å¯Į åĬĽ +çĶ· ç¥ŀ +é³ ³ +æµĩ æ°´ +åIJ ± +æĺİç¡® æıIJåĩº +åı¹ äºĨ +åı¹äºĨ åı£æ°Ķ +礼 æĭľ +è¿Ļ个 åIJįåŃĹ +ä¿¡ å¾Ĵ +å¿Ĺ 强 +éĻIJ æŶ +æĶ¶ è²» +åĨľå®¶ ä¹IJ +å°ıé¾Ļ èĻ¾ +èIJ½ å¹ķ +æ§ Ł +åѦ 龸 +æĪĸ å¤ļ +æĪĸå¤ļ æĪĸ +æĪĸå¤ļæĪĸ å°ij +座è°Ī ä¼ļä¸Ĭ +æ¶ ¼ +éŃĶ çİĭ +å² ± +顶 å±Ĥ +顶å±Ĥ 设计 +èĦij åŃIJéĩĮ +éĻ¢ åŃIJéĩĮ +轩 è¾ķ +身å¿ĥ åģ¥åº· +èħ ij +éĹľ 注 +åıĤåĬł ä¼ļè®® +ä¸Ńåįİ æĸĩåĮĸ +追 寻 +å®ī çĦ¶ +é£Ļ åįĩ +éŁŃ èıľ +é¸ ¦ +åĤ¨ éĩı +çĶ· æĸ¹ +å¤ĩ 份 +æijĶ åĢĴ +润æ»ij æ²¹ +éĢ¼ è¿ij +çĶ³ è¯ī +鸣 ç±» +çŁ³æ²¹ åĮĸå·¥ +åĿļ æŀľ +è¿Ļ家 ä¼Ļ +æĭĴ ä¸į +羣 çļ® +è·Ŀ éĽ¢ +è¿ĺ æĮº +éĽķ åĥı +åĪĿ æģĭ +æıIJä¾Ľ æĽ´å¤ļ +æŁ¥çľĭ åħ¨æĸĩ +æķ°åŃĹ è´§å¸ģ +åĸī åĴĻ +åı¦ä¸Ģ ä½į +åĤ¬ åĮĸ +åĤ¬åĮĸ åīĤ +ä»İæĿ¥ 没 +å¯ĨåĪĩ 缸åħ³ +éĥ¨ 主任 +产åĵģ ç»ıçIJĨ +並 åIJĮæĦı +èIJ½ åħ¥ +å±ıå¹ķ ä¸Ĭ +åħ¬åı¸ ç«łç¨ĭ +æį¢ åı¥è¯Ŀ +æį¢åı¥è¯Ŀ 说 +ä½į æĸ¼ +ä½ Ķ +åĩ» æĿĢ +缸 è¾ĥ +缸è¾ĥ äºİ +ç²½ åŃIJ +åįĹ æŀģ +宫 é¢Ī +è£ģ åijĺ +æĺİ ç»Ĩ +ä»·åĢ¼ éĵ¾ +åĽĽä¸ª æĸ¹éĿ¢ +æĥħåĨµ æĿ¥çľĭ +æĮij åīĶ +æ® ĺ +æŀģ åĬĽ +çĸij éļ¾ +æĬµæĬĹ åĬĽ +æĢ¥ éĢŁ +æĪ Į +ä½İ ä¼° +éĹª è¿ĩ +æģ ¬ +èµŀ æī¬ +ä»ĸ å¦Ī +æĪIJ为 ä¸ĢåIJį +æ´Ĺ 礼 +é¢Ħ计 å°Ĩ +åħĪè¿Ľ åįķä½į +è¼ Ķ +éĢĥ èĦ± +çİ° åŃĺ +èĢģèĻİ æľº +åįģä¸ĥ æĿ¡ +åı¦ä¸Ģ åįĬ +温 æĥħ +åī¥ 离 +ä¸ĸ è´¸ +å®ĺ åı¸ +å¾Ī å·® +éĹ´ è·Ŀ +请 注æĦı +åı² è¯Ĺ +åĪ© åĻ¨ +è¿IJ ç®Ĺ +沦 为 +該 使çĶ¨èĢħ +èĮ ¬ +éĶ¦ 绣 +åı² æĸĻ +çģµ æ´»æĢ§ +èģĶ 社 +æĹł åĬ© +æĬĹ æ°§åĮĸ +èıľ èĤ´ +éĢł èĪ¹ +æİī èIJ½ +å¤į æŁ¥ +åĭĥ åĭĥ +åij¼ 声 +給 äºĪ +åIJĮäºĭ 们 +ç½ ° +è¯ķ æİ¢ +åħ³éĶ® åŃĹ +æįIJ çĮ® +ç»Łè®¡ æķ°æį® +åĪĽ ä½ľèĢħ +ä¸ĭ åįĬ +ä¸ĭåįĬ åľº +æī¿æĭħ 责任 +端 æŃ£ +ç©¿ è¡£ +ä¼ł çIJĥ +åĬ© éķ¿ +åĩ ± +éķ¶ åµĮ +é£ŀ ç¿Ķ +è¾ĵ åįµ +è¾ĵåįµ 管 +ä¸ĩ åħ¬éĩĮ +æݨ广 åºĶçĶ¨ +å¿« æ¨Ĥ +ç§ ½ +èī° å·¨ +åIJ¬ å®Į +åĿļ 硬 +奥 åľ° +å¥¥åľ° åĪ© +é¢ ĵ +èĻIJ å¾ħ +ä¾Ľ æ±Ĥ +éľī ç´ł +伪 è£ħ +乡 åľŁ +åĩ¡ æľ¬ç½ij +åĩ¡æľ¬ç½ij 注 +ä¼Ĭ åĪ© +è¡¡ æ°´ +æĽ´ åĥıæĺ¯ +åĪĨéĴŁ å·¦åı³ +è¦ı 模 +äºĶ åĪĨéĴŁ +åºĹ åĬłçĽŁ +åĽ° éĽ£ +åħ³ åģľ +æĢĿ 绪 +åĴ½ åĸī +缸 符 +çĥ¦ èºģ +æĻĤ æľŁ +åijĪ çı¾ +解 æķ£ +诱 导 +éļĶ çĥŃ +çĮ ¶ +åįĹ å®ĭ +æ·±åħ¥ äºĨ解 +çŃĶ çĸij +æĺ¼ å¤ľ +åįĥ ä¼ı +åĬ³åĬ¡ æ´¾éģ£ +红 è±Ĩ +åĿı äºĭ +çĤ¹ æ»´ +å°±ä¸ļ å²Ĺä½į +约 åIJĪ +åħį éĻ¤ +éĢĨ åĬ¿ +éĩį éĩijå±ŀ +å®ĺ 宣 +ä½İ å»ī +æģ¨ ä¸įå¾Ĺ +å¾Ĺ 天 +å¾Ĺ天 çĭ¬ +å¾Ĺ天çĭ¬ åİļ +ä¸Ģå°ģ ä¿¡ +æĬ½ å¥ĸ +è¾Ĺ 转 +çķĻ å®Ī +çķĻå®Ī åĦ¿ç«¥ +çŃĶ åį· +å·¨ åŀĭ +æľĢ好 ä¸įè¦ģ +æµĻæ±Ł 大åѦ +æĨ ¨ +æı¡ æīĭ +éĴĪ ç»ĩ +æİĴ 骨 +çĤ ½ +å°ģ è£ħ +åįĢ åŁŁ +空æ°Ķ åĩĢåĮĸ +åħī å½± +åĢĴ å¡Į +å§ļ æĺİ +æ¤į 被 +åѦ åīį +åѦåīį æķĻèĤ² +èĬĿ åĬł +èĬĿåĬł åĵ¥ +缩 æ°´ +ä½ Ł +åľ¨çº¿ åĴ¨è¯¢ +èµı æŀIJ +éĿĴ èĽĻ +æĬ± ä½ı +èĮĤ åIJį +åħ¨åĬĽ æīĵéĢł +åįļ士 åѦä½į +沧 å·ŀ +åĻ ¢ +æĿĤ çī© +åĪ» çĶ» +æį ħ +å¾® éĩı +å¾®éĩı åħĥç´ł +ä¸Ģ åĽŀäºĭ +鸡 èĤī +åĪ©æ¶¦ çİĩ +æīį ç®Ĺ +å¾® å¦Ļ +棵 æłij +è´ª 婪 +åĩı åĢ¼ +梦 å¢ĥ +åı¯ è§Ĩ +åı¯è§Ĩ åĮĸ +广大 å¸Ĥæ°ij +ä¸ĵä¸ļ ä»İäºĭ +ç»ı 纬 +ç´§ çĽ¯ +çŁ¥ å·± +è¤ ļ +æĸĩåĮĸ åºķèķ´ +åݦéŨ å¸Ĥ +临 港 +对åħ¶ 羣å®ŀ +岸 è¾¹ +è¦ĸ çĤº +æĬĹ çĻĮ +åĶIJ å®ĩ +ä¸įå¾Ĺ è¶ħè¿ĩ +å¨ģ æħij +æ¡Ĩæŀ¶ åįıè®® +èµ° ç§ģ +åĽ¢ å§Ķ +夸 大 +æ¬ Ħ +ç¥ŀç»ı ç³»ç»Ł +æijĦå½± ä½ľåĵģ +èĬ ¥ +å®ī åºĨ +æµ· 滨 +æŀĦ æĢĿ +çīµ æĮĤ +åı © +éĺIJ æĺİ +éģ ģ +ç²¾ æ²¹ +ç©´ ä½į +æĬ¤ 身 +æĬ¤èº« 符 +æĮĩ å°İ +åŃĺåľ¨ ä¸Ģå®ļ +å¯Ĥ éĿĻ +æµ·å¤ĸ å¸Ĥåľº +éĿ ¡ +综åIJĪ å¾ģ +ä¿ IJ +è¨Ī ç®Ĺ +æĺİ æľĹ +äºļ è¿IJ +äºļè¿IJ ä¼ļ +åīįçŀ» æĢ§ +åĮ® ä¹ı +产ä¸ļ æī¶è´« +èĦij æµ· +èĦijæµ· ä¸Ń +åħļçļĦ é¢Ĩ导 +åĪĺ éĤ¦ +æµģ æĺŁ +æĵ Ĥ +æĶĢ çĻ» +åĴ Ķ +ä¸Ģä¸ĭåŃIJ å°± +è¯Ĭ æ²» +使 åĬ² +åīµ ä½ľ +éĵŃ è®° +éĴ± è´¢ +æĹ¥æĬ¥ è®°èĢħ +çĥŁ çģ« +èĥľ è´Ł +åįļ 主 +ä¸ŃåĽ½ èģĶéĢļ +ç½ijç«Ļ é¦ĸ页 +å°± å¤Ł +å°±å¤Ł äºĨ +æīij åħĭ +å±ħ å§Ķä¼ļ +è° ¬ +å®īåħ¨ äºĭæķħ +åķĨ çĶ¨è½¦ +循çݯ ç»ıæµİ +æ· ¤ +èĢĥ è¯ģ +å®Ŀ èĹı +å®Į ç»ĵ +çłĶåıij æĬķåħ¥ +å² ij +æģŃ æķ¬ +离 éĢĢä¼ij +æ°´ 墨 +å© ¶ +è¯Ĺ åı¥ +å®ģæ³¢ å¸Ĥ +å¼± çĤ¹ +åģľ çīĮ +奶 æ²¹ +å¥ĩ纳 æ²³ +æĨ Ĥ +社ä¼ļ å®ŀè·µ +è´Ŀ 壳 +çłĤ æµĨ +èĪ¹ åıª +宣 æī¬ +综åIJĪ æķ´æ²» +åĤ ij +æ°ijæĹı æĸĩåĮĸ +éĩį çİ° +积 æ·Ģ +åħ¬ çĦ¶ +çħ ī +缸 èģļ +æ± ¾ +纹 çIJĨ +çĩĥ çħ¤ +æѤ ç§į +ç¾İ å¦Ĩ +åįĥ çĵ¦ +çIJ Ľ +驾驶 è¯ģ +éĺ¶ æ¢¯ +ä¸Ŀ ä¸Ŀ +å¾Īå¤ļ äºĭæĥħ +åħī éĺ´ +èijĹä½ľ æ¬Ĭ +åħ§ éĥ¨ +çĽ¸å¯¹ æĿ¥è¯´ +éĸ Ĵ +éľĩ æħij +說 話 +æĨ ij +ç«¥ è£ħ +ä½ıæĪ¿ åĴĮ +ä½ıæĪ¿åĴĮ åŁİ +å·²ç»ı è¶ħè¿ĩ +侦 å¯Ł +çŁ¿ çī© +ä¾Ľ 大家 +çī¹ éĤĢ +ç¨ĭåºı åijĺ +çķľçī§ ä¸ļ +æ° ª +çij ª +åĢĴ åľ¨ +åĢĴåľ¨ åľ° +æ¯ Ģ +梯 éĺŁ +æİ¥ èijĹ +æĬĹ èıĮ +è¤ ĩ +ç¬ Ļ +æ¯Ķ ä¸Ĭå¹´ +鸡 汤 +åŃ¦ä¹ł æĪIJ绩 +æĸij æĸĵ +åħĪ 导 +åĪĹ ä¸¾ +è°ĥæŁ¥ æĺ¾ç¤º +æ© « +ä¹Ŀ åįģ +è°¢ 飵 +è·¨è¶Ĭ å¼ı +女æĢ§ æľĭåıĭ +èIJ¥åħ» ä»·åĢ¼ +å®ŀè·µ ç»ıéªĮ +èĭı å·ŀå¸Ĥ +çĵ¶ åŃIJ +æĸ° çļĦä¸Ģ +æĸ°çļĦä¸Ģ å¹´ +æĺİ æĻ° +å®ł çĪ± +åŃŠ第 +æľĹ 诵 +纳 æĸ¯ +éĢĨ è¡Į +è«ĭ æĤ¨ +è«ĭæĤ¨ æıIJä¾Ľ +èĥ¸ æĢĢ +第ä¸ĥ å±Ĭ +强 壮 +代 åŃķ +汶 å·Ŀ +家 åĸ» +家åĸ» æĪ· +家åĸ»æĪ· æĻĵ +èħ ® +åIJ¯ 迪 +æĹł éļľç¢į +èĻķçIJĨ åıĬ +æĿ¥ åİĨ +å®ŀ åĬ¡ +ä¹Ł éļıä¹ĭ +æĬĢèĥ½ åŁ¹è®Ń +åѤ ç«ĭ +åī ģ +éĥ´ å·ŀ +æĶ¶ æķĽ +éł» éģĵ +èį£ 幸 +èİ« è¿ĩäºİ +æѤ æĻĤ +纪å§Ķ çĽij +纪å§ĶçĽij å§Ķ +缸 éĤ» +åı¦ä¸Ģ è¾¹ +çªĴ æģ¯ +æľīå¾Īå¤ļ ç§į +æ¯ı éĢ¢ +éĹ® ä¸ĸ +ç´¯ ç´¯ +éĿĴæĺ¥ æľŁ +è·¯ åĨµ +åħĭ èݱ +è¿Ħä»Ĭ 为æŃ¢ +æĥĬ å¥ĩ +è·¨ 度 +éħ¿ éĢł +åĩ ĭ +è¿ij ä¸īå¹´ +åĨħ 马 +åĨħ马 å°Ķ +æı į +è¿Ľå±ķ æĥħåĨµ +èĮ § +æľīåºı æİ¨è¿Ľ +æĢ» åĨłåĨĽ +æĪIJ绩 åįķ +éĽ»è©± åıĬ +ç´§å¯Ĩ ç»ĵåIJĪ +åºĬ ä½į +é¹ Ĭ +æķ£åıij çĿĢ +åĭŁ èµĦ +æ°¨ éħ¸ +彩 ç¥ŀ +è®Ģ åıĸ +éĩį 温 +ä¸Ń åŃĺåľ¨çļĦ +ç¾İ éºĹ +ä¸įæĸŃ å¢ŀåĬł +è½® æµģ +æİ¥ åIJ¬ +å¹´ 产åĢ¼ +åįĥ åħĭ +æĪĺåľº ä¸Ĭ +çħ§ 顧 +å¹²éĥ¨ éĺŁä¼į +åį° ç«ł +ä¸Ģèĩ´ æĢ§ +è¿ŀ å¤ľ +åħħ è£ķ +é»ij åIJįåįķ +åĩĢ æ°´ +ä¸Ģ大 æĹ© +åĮħ 袱 +çĬ¯ è§Ħ +çIJĨ è«ĸ +æŀģ æĺĵ +éª ¸ +å¨ĺ å¨ĺ +åĽ¢ åľĨ +亿åħĥ 以ä¸Ĭ +åĪ©çĶ¨ æĤ¨çļĦ +带æĿ¥ æĽ´å¤ļ +ä¸Ń央 空è°ĥ +æľĪ èĸª +çĮľ æĥ³ +åĪº 客 +ä½ľ æģ¯ +åįķ è°ĥ +äºĴ åĪ© +å¦Ĥæľī ä¾µæĿĥ +å°ı å·§ +åįģ åł° +åĵĪåĵĪ åĵĪåĵĪ +è¾¹ éĻħ +æłĩ è¯Ń +åĪĩåħ¥ çĤ¹ +éĢĨ è¢Ń +è¯ķ åīĤ +绿 è±Ĩ +è® ļ +åŁºçĿ£ å¾Ĵ +å£ ¬ +åħ¨ æĺİæĺŁ +éĢī ç§Ģ +èĪĮ å°ĸ +ä¸įåIJĮ ç±»åŀĭ +çĥŁ åĽ± +çģµ æ°Ķ +åĮº 管å§Ķä¼ļ +åĨľ åī¯ +åĨľåī¯ 产åĵģ +èĶļ æĿ¥ +沪 æĮĩ +åħ»æ®ĸ æĪ· +æĸĹ å¿Ĺ +é¦ĸ é¢Ĩ +è¡Ģ èħ¥ +åĬł ç´§ +ä¸Ģèĩ´ 好è¯Ħ +第ä¸ī èĬĤ +æī¬ å°ĺ +交éĢļ æŀ¢çº½ +鼶 ç¢İ +é»ij æ´ŀ +çľĭ ä¸įæĩĤ +å±ŀ å®ŀ +主 åŁİåĮº +å¨ Ľ +å¨Ľ æ¨Ĥ +ç¬ij æĦı +èĻ¹ æ¡¥ +åIJĦ个 çݯèĬĤ +çķ¥ å¾® +èĢķ èĢĺ +æľ¬ åľºæ¯ĶèµĽ +æĪIJ è´¥ +éĢī èĤ¡ +èªŀ è¨Ģ +çŃĶ 辩 +èĩª ä¹ł +æ£ º +ä¸ĩ 欧åħĥ +åģľ å·¥ +对åħ¶ è¿Ľè¡Į +积æŀģ éħįåIJĪ +ä¹¾ åĿ¤ +å¦ĸ æĢª +èļĮ åŁł +èµĦ产 è¯Ħä¼° +è°ĥ çļ® +éĻ¤ å¤ķ +åĽ´ å¢Ļ +æľį å½¹ +æ·± æ¸Ĭ +é¢Ħ åĪ¶ +ç ĥ½ +å®ī 稳 +建 æŀĦ +çĭĻ åĩ» +主åĭķ 註åĨĬ +éĥ½æľī èĩªå·± +æİĴåIJį 第ä¸Ģ +麻 è¾£ +çĢ ļ +çĥŁèĬ± çĪĨ +çĥŁèĬ±çĪĨ 竹 +èĩªçĦ¶ ä¿ĿæĬ¤ +ä»Ļ å¢ĥ +为äºĨ éģ¿åħį +åĨ· åºĵ +解æĶ¾ æĢĿæĥ³ +åĪĿ äºĮ +ä½ĵ è´´ +é¦ĸ å¯Į +迪 æĭľ +æļĤ ç¼ĵ +æĶ¯æĮģ åĬĽåº¦ +侦 æİ¢ +马 åĪº +åĮĹ æ±½ +ç¹ ŀ +è°İ è¨Ģ +éĢ£ çºĮ +å· ³ +ä»»ä½ķ æŶåĢĻ +车 èģĶç½ij +åįķ 项 +å¸Ń åį· +建çŃij æĿIJæĸĻ +ä¸Ńç§ĭ èĬĤ +ç¡ķ士 çłĶ究 +ç§ģ ç«ĭ +åħļåĴĮ æĶ¿åºľ +æľ¬æ¬¡ 交æĺĵ +èººåľ¨ åºĬä¸Ĭ +ç½ijåıĭ è¯Ħ论 +å¦ Ŀ +害 ç¾ŀ +åħ¬ç«ĭ åĮ»éĻ¢ +ä¸ ŀ +çĶŁçī© è´¨ +åºĶ éĤĢ +æĬ½ åıĸ +åĩł å¼ł +æijĺ ç¼ĸ +ç»ĺ æľ¬ +详 解 +强 硬 +æľĢ åħĪè¿ĽçļĦ +æĭĽ èĤ¡ +æĭĽèĤ¡ 书 +åįĥ æĸ¹ +åįĥæĸ¹ çĻ¾ +åįĥæĸ¹çĻ¾ 计 +éħį éŁ³ +驾 çħ§ +å¾ģ æĪĺ +èªĵ è¨Ģ +æĭľ å¸Ī +æĭľå¸Ī åѦ +æĭľå¸ĪåѦ èīº +æĬ± åĽ¢ +ç±³ ç²ī +éĿŀ常 éĢĤåIJĪ +èĪª æµ· +å±¥ 约 +åįģåħ« æĿ¡ +éĶ» éĢł +éĩįè¦ģ 举æݪ +åıijæĮ¥ ä½ľçĶ¨ +æ· ļ +人 社 +人社 å±Ģ +è¯ķçĤ¹ å·¥ä½ľ +éĺľ éĺ³ +æ¡ĥ åľĴ +æ°ij ä¼ģ +æ´ģ çĻ½ +è´µ 宾 +åħ¬ 社 +è§ī æĤŁ +è®°å¿Ĩ åĬĽ +æľĥåĵ¡ 註åĨĬ +æѤ æ¡Ī +麻 çĹ¹ +çı Ģ +æĸ© èİ· +çĶ· åŃ©åŃIJ +å±ĢéĻIJ äºİ +åĭĺ æŁ¥ +åIJĥ 饱 +èĬ¬ åħ° +æ£ķ èī² +ç¦ı ç¥ī +çĶ³ èĬ± +æµ· çĽĹ +èĶ ij +æĸĩ åѸ +æ´»æĢ§ çĤŃ +缴 éĢļ车 +è°¢ éĤĢ +躺 çĿĢ +åľ ĥ +æ¯ıæĹ¥ ç»ıæµİ +åħ¬åħ± æĸĩåĮĸ +讲 æķħäºĭ +å¯Ł çľĭ +æĤł éĹ² +åľ° åĿª +æ¶Į çİ°åĩº +é«ĺçŃī éĻ¢æł¡ +èĮĦ åŃIJ +éĺ² åį« +ä¾ĭ è¡Į +æĺ¾ éľ² +æĸ° 常æĢģ +ç»Ŀ ä½³ +å¯Į æ°ij +以 人æ°ij +以人æ°ij 为 +éĤ¢ åı° +å±ķ æ¼Ķ +çĻ¼ å¸ĥ +è´Ł è½½ +åģı 离 +æ°¸ éģł +éĩįè¦ģ åİŁåĽł +åįıä¼ļ ä¼ļåijĺ +éļ¾ æ°ij +çĶŁäº§ 车éĹ´ +çģµ åĬ¨ +两年 åīį +æĸ¹ åľĨ +æ´» ä¸ĭåİ» +ä¸ĸçķĮ è§Ĥ +éªĹ åıĸ +ç¾İ è²Į +èĥ½ çľĭåĩº +çĻ¼ æı® +è§Ĥ å½± +åī ĥ +åIJĪèµĦ åħ¬åı¸ +å© § +å¹² æű +åħŃ ä¸ªæľĪ +尤为 éĩįè¦ģ +èĤ ½ +秦 åĽ½ +æīĺ ç¦ı +建çŃij å¸Ī +åįĩ级 æĶ¹éĢł +å°ı é¢Ŀ +å°ıé¢Ŀ 贷款 +两个 ç»´æĬ¤ +æĭį æĭį +åı¯ çĸij +æį¢ åıĸ +æѦ 士 +èµĸ 以 +èµĸ以 çĶŁåŃĺ +æĮ ļ +殿 åłĤ +èĩªçĦ¶ çķĮ +ç£ģ åľº +å¦Ĥä½ķ çľĭå¾ħ +ä»ĬæĹ¥ 头æĿ¡ +西 åŁŁ +èİ· è¯Ħ +風 æł¼ +ä¿Ħ åĽ½ +æīĵ æĭ¼ +å®£ä¼ł çīĩ +å¾Ī æĸ¹ä¾¿ +ä¾Ľç»Ļ 侧 +纪念 ç¢ij +毫 åħĭ +èĬ³ é¦Ļ +å·¥åķĨ éĵ¶è¡Į +请 çĤ¹åĩ» +ç¼ ª +æĹłæķ° 次 +èį¯ å¸Ī +èħ ¸ +游 èīĩ +åĮ ¾ +å·¡ èĪª +æ²»çIJĨ ä½ĵç³» +èIJ¥éĢł èī¯å¥½ +æ·· æ·Ĩ +éĢļ çķħ +åĬ³ ç´¯ +ä»ĵ ä½į +å¢ŀ éķ· +éļIJ 约 +æĿĤå¿Ĺ 社 +åħ» èĤ² +åı¯èĥ½ åıijçĶŁ +èĢĥ 試 +西 侧 +åĬł åĢį +主æĮģ åı¬å¼Ģ +çķ¢ ç«Ł +éĹ® 询 +æµ· æ£ł +èĹ © +注æĺİ æĿ¥æºIJ +æ£Ģ çĸ« +请 åģĩ +æĬļ æij¸ +èĵĦ çĶµæ±ł +è·Ł ä¸įä¸Ĭ +çݰ代 社ä¼ļ +çŃ¹ èµĦ +ä½ĵèĤ² 彩票 +延 误 +è¾Ľ è¾£ +éĿ¢ 容 +åį° è®° +çģŃ äº¡ +ç´ł é£Ł +åħ´ èĩ´ +éľĢè¦ģ çĶ¨ +éľĢè¦ģçĶ¨ åĪ° +å®Ŀ å¦Ī +ç£ĭ åķĨ +éļ¶ å±ŀ +è´¡çĮ® åĬĽéĩı +åħ¬åħ± èµĦæºIJ +大 éĺª +åĨĽ è®Ń +æĤ¬ 念 +社ä¼ļ 稳å®ļ +å¹²äºĭ åĪĽä¸ļ +æľī æĿ¡ä»¶ +æľīæĿ¡ä»¶ çļĦ +ä¸Ģå¹´ ä¸Ģ度 +åİ ¥ +强 奸 +豪 车 +æİĮ æŁľ +æ°´åĪ© å·¥ç¨ĭ +å³ ª +积æŀģ ä½ľçĶ¨ +æµ· æ·Ģ +æµ·æ·Ģ åĮº +çĥŃ æĴŃ +åĿļæĮģ ä¸įæĩĪ +åıĮ èĦļ +绣 æĪĺ +ä»»ä½ķ 人éĥ½ +åľ°ä¸ĭ 室 +åĨ¶ çĤ¼ +è°ħ 解 +æ¸Ķ èĪ¹ +太éĺ³ åŁİ +被 æįķ +计ç®Ĺ åĻ¨ +西 åĮ» +èĪĴ å¿ĥ +æ¡ ¦ +éģ ² +åĬ ij +è¨ Ĺ +èİ º +åĸ ¬ +çĵ ¯ +åĺ ĺ +åł ķ +æķ Ŀ +åij ¦ +èĭ ŀ +æŃ ¹ +æĵ ¬ +æ£ Ħ +èĪ µ +å¥ ª +çļ ĭ +æĶ ¸ +åľ © +ç¤ Ļ +ç¢ ĺ +éı Ī +æĦ ķ +ç¹ ³ +èĺ ¸ +è² Ĥ +æ¼ ² +æij ¹ +æĶ Ŀ +åŃ ¢ +èķ Ń +é¨ ° +æ½ ¼ +éħ ° +æĴ ¥ +è¹ ¬ +é¨ Ļ +è¸ ¹ +éģ IJ +çĺ Ģ +èĽ ¤ +æĤ ĸ +çĴ ŀ +ç£ IJ +æİ ° +è¾ Ĭ +å¾ ij +æİ ĸ +éģ ŀ +éĤ ¸ +éĽ ı +æĨ İ +æľ ½ +çį » +ç® Ķ +è¤ ¶ +æļ ¢ +æĺ µ +çı Ĥ +æĤ ¸ +åģ µ +åĻ ľ +å£ ¯ +æĴ ® +æģ į +å© ķ +ç¯ ± +éĺ Ļ +çī ł +è£ ĺ +è³ ¢ +éĩ ľ +éĵ ł +èİ ĺ +æ® Ĩ +çĻ ¸ +è´ ı +ç² ± +å« ¡ +åĨ ¢ +è¤ Ĵ +æĩ Ĭ +éľ ĵ +å¡ µ +æĭ £ +å» Ł +é£ ½ +é¢ Į +åļ İ +æ· º +èĨ ł +åİ Ń +åļ ĩ +åij ĥ +çĴ ĭ +çŃ ± +æĭ · +èį § +éĶ ° +åŃ ° +èĵ ĵ +èĨ ½ +æŀ ī +åĸ ½ +çĽ Ķ +çŃ IJ +ç¾ ļ +è ħĮ +è¾ « +æ³ ĵ +çĶ ¬ +èŁ ² +åĸ ª +å¦ ĵ +è¬ Ģ +çĤ Ĭ +æĽ ľ +æ± IJ +è´ Ī +èį Ģ +æĬ ł +ç¢ ¾ +æ« ĥ +éŀ ł +èij Ĩ +ç¥ ¯ +å½ Ŀ +é¦ į +åĮ £ +æľ Ń +åĿ Ĥ +ä¿ ij +èĵ ® +çij Ľ +æī ī +èĩ Ł +è² « +çİ ¥ +æ· ¼ +åİ ² +é³ Į +å³ Ń +åij Ľ +é § +é§ IJ +éģ · +ä¿ ª +æĢ Ĥ +è¾ į +å± į +åĭ ģ +å¥ ļ +éļ ħ +éĴ ´ +è¼ Ŀ +å® ¦ +èIJ ĥ +çĺ ĭ +æĨ ¶ +æĤ ħ +è¾ Ļ +åij ľ +çł º +éĢ ŀ +æµ ļ +éĸ £ +èĸ © +éĻ ĭ +çĤ Ļ +èª ķ +ä¸ Ł +é¹ ½ +ç± Į +è´ ° +éĭ ª +çľ © +æĴ IJ +èĨ º +éŀ ĺ +ç¾ ² +çª ® +ç´ IJ +æ® ´ +çº ¾ +èº į +ç´ ĭ +çĦ ĸ +çĶ º +çī ½ +çĤ ¯ +ç¼ Ķ +æ¯ ĵ +å¬ ° +æ¢ § +äº Ł +è¢ ħ +çį Ħ +è¿ ¥ +æ¼ ¾ +çĿ ij +ç¸ ¾ +é¦ ĭ +é¤ ħ +æ ¹Ħ +æĺ ĩ +æŀ Ń +èĸ ° +æŁ ij +æ¦ » +åĻ Ĺ +åĻ ´ +æ£ £ +åĶ § +çĨ ¹ +è¼ ¯ +å¢ Ł +é² ² +æĪ Ľ +èī ¦ +èĬ ® +åĺ Ł +å¸ ¥ +å¿ » +çĮ Ŀ +å¯ µ +è³ ¦ +èĽ ¾ +æ» ¾ +çĤ ķ +éĵ ¬ +èĴ ¿ +éĴ ¨ +çĥ Ļ +ç² ķ +æĥ ¦ +æº § +é¢ į +éħ £ +å³ ¦ +ç± ģ +çĥ ĥ +åĨ Ĺ +åı ģ +çĽ § +ç½ µ +éĴ Ĺ +å¬ ī +è° ı +ç³ § +è¾ Ń +æ· ¬ +èŁ Ĵ +è¯ © +è¦ ĥ +çĻ ĸ +é½ Ĵ +çĪ IJ +ç® į +ç¼ İ +ç£ º +è¯ « +è¤ ² +æĵ ł +èIJ ¦ +çĿ ¬ +è° į +éĦ ° +æł ¾ +é¡ ı +ç¸ ± +æ¡ ¨ +éĨ ¬ +è¥ ² +è® ª +å© º +èį Ł +åĮ Ŀ +çĨ ł +èĽ Ĭ +æ¸ ļ +å´ ½ +é² ¤ +åķ ° +åĮ ķ +ä¸ IJ +è® ¥ +åı ½ +åı ¼ +çļ ¿ +è¿ Ĥ +åIJ Ĩ +å± ¹ +èĩ ¼ +è® ¹ +é© ® +çº « +æ± ŀ +æĬ ¡ +èĭ ĩ +åIJ ł +åIJ Ń +åIJ ® +å² ĸ +ä½ ĥ +çĭ Ī +åº ĩ +åIJ Ŀ +éĹ ° +æ± ¹ +å¿ ± +æĭ Ħ +æĭ Ĺ +èĮ ī +èĭ Ľ +èĮ ģ +çŁ ¾ +èĻ ı +åij » +åĴ Ħ +å¿ ¿ +èĤ ® +çĭ ŀ +çĸ Ł +çĸ Ļ +çĸ ļ +æ³ ŀ +å¸ ļ +å± ī +è¿ ¢ +é© ¹ +ç İ· +çıĬ ó +çıĬó ł +çıĬół Ħ +çıĬółĦ ģ +æĮ İ +æĭ ´ +åŀ Ľ +èį ¤ +æ® ĥ +çĽ ¹ +åĵ Ĩ +è´ » +æ¯ ¡ +çĭ ° +çĭ ¡ +æŁ Ĵ +æģ ĥ +è¯ ¬ +è¢ Ħ +è¯ ² +èļ ¤ +èĢ Ļ +åŁ Ĥ +æį İ +æį Į +æ¢ Ĩ +é ħĮ +çł ¾ +æ® ī +åĶ ł +æĻ Į +èļ £ +èļ ª +èļ ĵ +é¸ ¯ +åĶ ģ +åĶ Ĩ +åĢ Ķ +èĪ Ģ +è± º +èĥ ° +é¸ µ +é¸ ³ +é¦ ģ +ç¾ Ķ +æ¶ £ +æ¶ ķ +æĤ ¯ +è¯ ½ +è° Ĩ +ç¥ Ł +ç» ¢ +æį º +æį ¶ +æį » +æİ Ĥ +èı ł +èIJ ¤ +éħ Ĺ +çľ ¶ +åķ Ħ +èļ ¯ +èĽ Ģ +åĶ ¬ +å¸ · +éĵ IJ +éĵ Ľ +åģ İ +å¾ Ļ +èĦ ¯ +è± ļ +çĮ ĸ +çĹ Ĭ +æ¶ ® +æĥ Ń +æĤ ´ +æĥ ĭ +è° ļ +æı © +æIJ Ģ +æIJ Ķ +æ¦ Ķ +æ¤ Ń +éĽ ³ +åĸ ³ +è· Ľ +èľ ĵ +èľ Ĵ +é¹ ĥ +éĶ Ħ +çĶ ¥ +çŃ ı +çĮ © +çĮ ¬ +çĮ ¾ +çĹ ¢ +çĹ ª +æĥ ° +çª ĺ +è° ¤ +éļ ĺ +å© ¿ +é¹ ī +çij Ļ +æĸ Ł +æ¤ ¿ +éħ ª +éĽ ¹ +åĹ ¦ +è· · +è· º +è· ¤ +èľ Ī +èľ Ĺ +å¹ Į +é¦ ı +èª Ĭ +æ¼ ĵ +è¤ Ĥ +èĶ Ĺ +èĶ ¼ +åħ ¢ +è£ ³ +èľ » +èĿ ĩ +åĺ Ģ +éĶ ¹ +ç® ķ +ç® © +çĺ © +çĺ Ł +æ¼ ± +å¯ ¥ +éª ¡ +æĴ µ +æĴ ¬ +è± Į +åĺ ¹ +èĿ ł +èĿ Į +èĿ Ĺ +èĿ Ļ +éķ IJ +ç¨ ¼ +ç¯ ĵ +èĨ Ľ +é² « +çĺ ª +é² ¨ +æĨ Ķ +ç¿ © +è¤ ¥ +ç¼ Ń +åĻ © +çĵ ¢ +éľ İ +è¸ ± +è¹ Ĥ +èŁ Ĩ +é¹ ¦ +ç¯ ¡ +çĺ ¸ +çª ¿ +ç¼ ° +èĹ IJ +è¹ ĭ +èŁ ĭ +èŁ Ģ +èµ ¡ +èĩ Ĭ +é³ Ħ +ç³ ł +æĩ ¦ +åļ £ +éķ ° +é³ į +ç° ¸ +çĻ £ +é³ ĸ +é¬ ĵ +èł ķ +éľ ¹ +èº ı +é» ¯ +çĵ ¤ +çŁ Ĺ +ä¹ Ĥ +ä¹ ľ +åħ Ģ +å¼ ĭ +åŃ ij +åŃ ĵ +å¹ º +äº ĵ +å »¿ +ä¸ ı +åį ħ +ä» ĥ +ä» ī +ä» Ĥ +åĪ Ī +çĪ » +åį ŀ +éĹ © +è® £ +å¤ ¬ +çĪ ¿ +æ¯ ĭ +éĤ Ĺ +éĤ Ľ +èī ½ +èī ¿ +åı µ +ä¸ ķ +åĮ ľ +åĬ ¢ +åį Ł +åı ± +åı » +ä» ¨ +ä» Ł +ä» ¡ +ä» « +ä» ŀ +åį ® +æ° IJ +çĬ ° +åĪ į +éĤ Ŀ +éĤ Ļ +è® ¦ +è® § +è® « +å° » +éĺ ¡ +å° ķ +å¼ ģ +èĢ Ĵ +çİ İ +çİ ij +åľ ¬ +æī ¦ +åľ ª +åľ ¹ +æī ª +åľ ® +åľ ¯ +èĬ Ĭ +èĬ į +èĬ Ħ +èĬ ¨ +èĬ ij +èĬ İ +èĬ Ĺ +äº ĺ +åİ į +å¤ ¼ +æĪ į +å° ¥ +ä¹ © +æĹ ¯ +æĽ ³ +å² Į +å± º +åĩ ¼ +åĽ ¡ +éĴ ĩ +ç¼ ¶ +æ° ĺ +æ° ĸ +çī Ŀ +ä¼ İ +ä¼ Ľ +ä¼ ¢ +ä½ ¤ +ä» µ +ä¼ ¥ +ä¼ § +ä¼ ī +ä¼ « +åĽ Ł +æ± Ĩ +åĪ ĸ +å¤ Ļ +æĹ ® +åĪ İ +çĬ · +çĬ ¸ +èĪ Ľ +åĩ « +é Ĥ¬ +é¥ § +æ± Ķ +æ± ľ +æ± Ĭ +å¿ ĸ +å¿ ı +è® ´ +è® µ +è® · +èģ ¿ +èī ® +åİ ¾ +å¦ ģ +çº ¡ +çº £ +çº ¥ +çº ¨ +çİ ķ +çİ Ļ +æĬ Ł +æĬ Ķ +åľ » +åĿ į +æĬ ĥ +㧠IJ +èĬ « +èĬ ¾ +èĭ Ī +èĭ £ +èĭ ĭ +èĬ ¼ +èĭ Į +èĭ ģ +èĬ © +èĬ ª +èĬ ¡ +èĬ Ł +èĭ Ħ +èĭ İ +èĭ ¡ +æĿ Į +æĿ ĵ +æĿ Ī +å¿ ij +åŃ Ľ +éĤ ´ +éĤ ³ +å¥ ģ +è± ķ +å¿ Ĵ +æ¬ ¤ +è½ « +è¿ ĵ +éĤ ¶ +å¿ IJ +åį £ +éĤ º +æĹ ° +åij ĭ +åij Ĵ +åij ĵ +åij Ķ +åij ĸ +æĹ ¸ +åIJ ¡ +èĻ ¬ +åIJ ½ +åIJ £ +åIJ ² +å¸ ı +å² Ī +å² ĺ +åħ ķ +åĽ µ +åĽ « +éĴ Ĭ +éĴ ĭ +é ĴĮ +è¿ ķ +æ° Ļ +æ° ļ +çī ¤ +ä½ ŀ +ä½ ļ +ä½ Ŀ +ä½ Ĺ +å½ · +ä½ ĺ +ä½ ¥ +è± ¸ +åĿ Į +èĤ Ł +å¥ Ĥ +åĬ ¬ +çĭ ģ +é¸ ł +é¥ ¨ +é¥ © +é¥ « +é¥ ¬ +åº ij +åº ĭ +çĸ Ķ +çĸ ĸ +èĤ ĵ +éĹ ± +éĹ ³ +çĤ Ģ +æ² £ +æ² ħ +æ² Ķ +æ² ¤ +æ² ı +æ² ļ +æ± © +æ± ¨ +æ² ¨ +æ± ´ +æ² Ĩ +æ² © +æ³ IJ +æĢ ĥ +æĢ Ħ +å¿ ¡ +å¿ ¤ +å¿ ¾ +æĢ ħ +å¿ ª +æĢ Ĩ +å¿ Ń +å¿ ¸ +è¯ Ĥ +è¯ ĥ +è¯ ħ +è¯ ĭ +è¯ Į +è¯ Ĵ +éĻ Ĥ +éĻ ī +å¦ © +å¦ ª +å¦ £ +å¦ Ĺ +å¦ « +å§ Ĵ +å¦ ¤ +åĬ Ń +åĪ Ń +éĤ ° +çº Ń +çº ° +çº ´ +çİ ¡ +çİ Ń +çİ ł +çİ ¢ +çİ ¦ +çĽ Ĥ +å¿ Ŀ +åĮ ¦ +åĿ © +æĬ ¨ +æĭ ¤ +åĿ « +æĭ Ī +åŀ Ĩ +æĬ » +åĬ ¼ +æĭ ĥ +æĭ Ĭ +åĿ ¼ +åĿ » +㧠Ł +åĿ ¨ +åĿ Ń +æĬ ¿ +åĿ ³ +èĭ · +èĭ ¤ +èĮ ı +èĭ « +èĭ ľ +èĭ ´ +èĭ Ĵ +èĭ ĺ +èĮ Į +èĭ » +èĭ ĵ +èĮ ļ +èĮ Ĩ +èĮ ij +èĮ ĵ +èĮ Ķ +èĮ ķ +è ĮĢ +èĭ ķ +æŀ ¥ +æŀ ĩ +æĿ ª +æĿ ³ +æŀ § +æĿ µ +æŀ ¨ +æŀ ŀ +æŀ ĭ +æĿ » +æĿ · +æĿ ¼ +çŁ ¸ +ç łĢ +åĪ ³ +å¥ Ħ +æ® ģ +éĥ ı +è½ Ń +éĥ ħ +é¸ ¢ +çĽ ± +æĺ Ļ +æĿ ² +æĺ ĥ +åĴ Ĥ +åij ¸ +æĺ Ģ +æĹ » +æĺ ī +çĤ ħ +çķ Ģ +èĻ ® +åĴ Ģ +åij · +é» ¾ +åij ± +åij ¤ +åĴ Ĩ +åĴ Ľ +åij ¶ +åij £ +åĴ Ŀ +å² ¢ +å² ¿ +å² ¬ +å² « +å¸ Ļ +å² £ +å³ ģ +åĪ ¿ +å² · +åī Ģ +å¸ Ķ +å³ Ħ +æ² ĵ +åĽ ¹ +ç½ Ķ +éĴ į +éĴ İ +éĴ ı +éĴ Ĵ +éĴ ķ +éĤ ¾ +è¿ ® +çī ¦ +ç« º +è¿ ¤ +ä½ ¶ +ä¾ ij +ä¾ ī +èĩ ¾ +ä¾ Ĺ +ä¾ ı +ä¾ © +ä½ » +ä½ ¾ +ä¾ ª +ä½ ¼ +ä½ ¯ +ä¾ ¬ +å¸ Ľ +ä¾ Ķ +å¾ Ĥ +åĪ ½ +éĥ Ħ +ç± ´ +çĵ ® +æĪ Ĺ +èĤ ¼ +äı Ŀ +èĤ ± +èĤ « +è¿ © +éĥ ĩ +çĭ İ +çĭ į +çĭ Ĵ +åĴ İ +é¥ ¯ +é¥ ´ +åĨ ½ +åĨ ¼ +åº ĸ +çĸ ł +çĸ Ŀ +åħ ĸ +åĬ ¾ +ð¬ ī +ð¬ī ¼ +çĤ ĺ +çĤ Ŀ +çĤ Ķ +æ³ Ķ +æ² Ń +æ³ · +æ³ ± +æ³ ħ +æ³ ł +æ³ º +æ³ ĸ +æ³ « +æ³ ® +æ² ± +æ³ ¯ +æĢ Ļ +æĢ µ +æĢ ¦ +æĢ Ľ +æĢ ı +æĢ į +ã ¤ +㤠ĺ +æĢ © +æĢ « +æĢ ¿ +å® ķ +ç© ¹ +å® ĵ +è¯ ĵ +è¯ Ķ +è¯ ĸ +è¯ ĺ +æĪ ¾ +è¯ Ļ +æĪ ½ +éĥ ĵ +è¡ © +ç¥ Ĩ +ç¥ İ +ç¥ ĩ +è¯ ľ +è¯ Ł +è¯ £ +è¯ ¤ +è¯ § +è¯ ¨ +æĪ ķ +éĻ Ķ +å¦ ² +å¦ ¯ +å§ Ĺ +å¸ ij +åŃ ¥ +é© ½ +èĻ ± +è¿ ¨ +ç» Ģ +ç» ģ +ç» Ĥ +é© · +é© ¸ +ç» ī +ç» Į +éª Ģ +çĶ ¾ +çı ı +çı IJ +çı ij +çİ ³ +é¡ ¸ +çı ī +çı Ī +æĭ ® +åŀ Ń +æĮ Ŀ +æĮ ŀ +åŀ ¤ +èµ ³ +è´ ² +åŀ ± +åŀ Į +åŀ § +åŀ ĵ +æĮ ¦ +åŀ ł +èį ļ +èį ij +è´ ³ +èį ľ +èİ Ĵ +èĮ ¼ +èĮ ´ +èĮ ± +èİ Ľ +èį ŀ +èĮ ¯ +èį ı +èį ĩ +èį ĥ +èį ł +èĮ Ń +åŀ © +èį ¥ +èį ¦ +èį ¨ +èį © +åī ĭ +èį ª +èį ¬ +èį ® +æŁ ° +æł ī +æŁ ĺ +æł Ĭ +æŁ © +æŀ ° +æł Į +æŁ Ļ +æŀ µ +æŀ ³ +æŁ ŀ +æŁ Ŀ +æł Ģ +æŁ ¢ +æł İ +æŁ Ī +æŁ ģ +æŀ · +æŁ ½ +åī Į +éħ Ĭ +éĥ ¦ +çĶ Ń +çł Ĺ +çł ĺ +çł Ĵ +æĸ « +çł Ń +çł ľ +èĢ · +èĻ º +æ® Ĥ +æ® ĩ +æ® Ħ +è½ ± +è½ ² +è½ ³ +è½ ¶ +è½ ¸ +èĻ ¿ +æ¯ ĸ +è§ ĩ +å° ľ +åĵ IJ +çľ Ħ +çľ į +ðł ³ +ðł³ IJ +éĥ ¢ +çľ ĩ +çľ Ĭ +çľ Ī +ç¦ º +åĵ Ĥ +åĴ ´ +æĽ · +æĺ ´ +åĴ ¦ +åĵ ĵ +åĵ Ķ +çķ İ +åij ² +èĥ Ħ +çķ ĭ +çķ Ī +èĻ ¼ +èĻ » +çĽ ħ +åĴ £ +åĵ ķ +åī IJ +éĥ § +åĴ » +åĽ ¿ +åĴ ¿ +åĵ Į +åĵ Ļ +åĵ ļ +åĴ © +åĴ ¤ +åĵ Ŀ +åĵ ı +åĵ ŀ +å³ £ +ç½ ĺ +å³ Ĵ +å³ ¤ +å³ ĭ +è´ ¶ +éĴ ļ +éĴ ¡ +éĴ £ +éĴ ¤ +éĴ « +æ° ¡ +çī ¯ +éĥ ľ +ç§ ķ +ç§ Ń +ç« ½ +ç¬ Ī +ä¿ ¦ +ä¿ ¨ +ä¿ ħ +åı Ł +åŀ ¡ +çī ® +ä¿ £ +ä¿ ļ +çļ Ī +ä¿ Ł +éĢ ħ +å¾ ĩ +å¾ ī +èĪ ¢ +éĥ Ĺ +ä¿ İ +éĥ ¤ +çĪ ° +éĥ Ľ +çĵ ´ +èĥ ¨ +èĥ ª +èĥ Ľ +èĥ Ĥ +èĥ Ļ +èĥ į +èĥ Ĺ +è ĥĿ +æľ IJ +èĥ « +é¸ ¨ +åĮ į +çĭ ¨ +çĭ ¯ +é£ ij +çĭ © +çĭ ² +è¨ ĩ +éĢ Ħ +æĺ Ŀ +é¥ · +é¥ ¸ +é¥ ¹ +åŃ ª +å¨ Ī +åº ¥ +çĸ ¬ +çĸ £ +çĸ ¥ +çĸ Ń +åº ł +ç« ij +é£ Ĵ +éĹ ¼ +éĹ ¾ +éĹ ¿ +éĺ Ĥ +ç¾ ij +è¿ ¸ +ç± ¼ +éħ ĭ +çĤ » +çĥ Ģ +çĤ · +æ´ ± +æ´ ¹ +æ´ § +æ´ Į +æµ ĥ +æ´ ĩ +æ´ Ħ +æ´ Ļ +æ¶ İ +æ´ İ +æ´ « +æµ į +æ´ ® +æ´ µ +æµ Ĵ +æµ Ķ +æµ ķ +æ´ ³ +æģ ¸ +æģ ĵ +æģ ¹ +æģ « +æģ » +æģ Ĥ +æģ ª +æģ ½ +å® ¥ +æī ĥ +è¡ ² +è¡ ½ +è¡ ¿ +è¢ Ĥ +ç¥ ľ +ç¥ ĵ +ç¥ ļ +è¯ ® +ç¥ Ĺ +ç¥ ¢ +è¯ ° +è¯ ³ +é¸ © +æĺ ¶ +åĴ « +å¼ Ń +çī ģ +èĥ ¥ +éĻ Ł +å§ ® +å¨ Ĩ +å§ Ŀ +å§ £ +å§ ĺ +å§ ¹ +ç¾ ¿ +çĤ ± +çŁ ľ +ç» Ķ +éª ģ +éª ħ +ç» Ĺ +ç» Ľ +éª Ī +èĢ ĸ +æĮ Ī +çı ¥ +çı Ļ +é¡ ¼ +çı ° +çı © +çı § +çı £ +çı ŀ +çIJ ¤ +çı ² +æģ ļ +åŁ ķ +åŁ ĺ +åŁ Ļ +åŁ ļ +æĮ ¹ +èĢ Ĩ +èĢ Ħ +åŁ Ĵ +æį ĭ +è´ ½ +åŀ ¸ +æį ĥ +çĽ į +èį ¸ +èİ ³ +èİ ´ +èİ ª +èİ ł +èİ ľ +èİ ħ +èį ¼ +èİ © +èį ½ +èİ ¸ +èį » +èİ ¨ +é¸ ª +èİ ¼ +æł ² +æł ³ +æ¡ ¡ +æ¡ İ +æ¡ ¢ +æ¡ ¤ +æ¢ ĥ +æł Ŀ +æ¡ ķ +æ¡ ģ +æ¡ § +æ¡ ħ +æł Ł +æ¡ ī +æł © +éĢ ij +éĢ ĭ +å½ § +é¬ ² +è± ĩ +éħ IJ +éĢ ¦ +åİ Ŀ +åŃ ¬ +çł Ŀ +çł ¹ +çł § +çł · +çł Ł +çł ¼ +çł ¥ +çł £ +åī ŀ +çł » +è½ ¼ +è½ ¾ +è¾ Ĥ +é¸ « +è¶ ¸ +é¾ Ģ +é¸ ¬ +èĻ Ķ +çľ ¬ +åĶ Ľ +çľ Ļ +åĵ § +åĵ ½ +æĻ ģ +é¸ ® +è¶ µ +è¶ ¿ +çķ Ľ +èļ ¨ +èļ ľ +èļ į +èļ ĭ +èļ ¬ +èļ Ŀ +èļ § +åĶ ¢ +åľ Ħ +åĶ £ +åĶ ı +çĽ İ +åĶ ij +å´ Ĥ +å´ ĥ +ç½ ¡ +ç½ Ł +è§ Ĭ +èµ ħ +éĴ ² +éĴ µ +éĴ ¹ +éĴ º +éĴ ½ +éĴ ¼ +éĴ ¿ +éĵ Ģ +éĵ Ħ +éĵ Ĩ +éĵ Ī +éĵ ī +éĵ Ĭ +éĵ ĭ +éĵ Į +é ĵį +ä ¥ +ä¥ ½ +éĵ İ +æ° © +æ° ¤ +æ° ¦ +æ¯ ª +èĪ IJ +ç§ £ +ç§ « +çĽ ī +ç¬ Ħ +ç¬ ķ +ç¬ Ĭ +ç¬ ı +ç¬ Ĩ +ä¿ ¸ +ä¿ µ +åģ Į +ä¿ ³ +ä¿ ¶ +åĢ ¬ +åĢ ı +æģ ģ +åĢ Ń +ä¿ ¾ +åĢ ľ +éļ ¼ +éļ ½ +åĢ Į +åĢ ¥ +èĩ ¬ +éĥ « +åĢ ¨ +è¡ Ħ +é¢ Ģ +å¾ ķ +èĪ « +è¡ ¾ +èĥ ¯ +èĥ ± +èĥ ´ +èĥ Ń +èĦ į +èĥ ¼ +èĦ Ĵ +é¸ ± +é¸ ² +çĭ · +çĮ ģ +çĭ ³ +çĮ ĥ +çĭ º +éĢ ĸ +æ¡ Ģ +é¥ ½ +åĩ ĩ +æĮ Ľ +äº ³ +çĸ ³ +çĸ ´ +çĸ ¸ +çĸ ½ +çĹ Ī +çĸ ± +çĹ Ĥ +çĹ ī +è¡ ® +é¢ ĥ +æģ £ +æĹ Ĩ +æĹ Ħ +æĹ ĥ +éĺ ĥ +éĺ Ħ +è¨ ļ +éĺ Ĩ +æģ Ļ +ç² ij +çĥ ľ +çĥ © +çĥ Ĭ +åī ¡ +éĥ ¯ +çĥ ¬ +æ¶ ij +æµ ¯ +æ¶ ŀ +æ¶ Ł +å¨ ij +æ¶ ł +æµ ŀ +æ¶ ĵ +æµ ¥ +æ¶ Ķ +æµ ľ +æµ ł +æµ £ +æĤ ļ +æ ĤŃ +æĤ Ŀ +æĤ Ĵ +æĤ Į +æĤ Ľ +çª Ī +åī ľ +è¯ ¹ +è¯ ¼ +è¢ Ĵ +è¢ ¢ +è¯ ¿ +è° Ģ +è° Ĥ +è° Ħ +è° ĩ +å± IJ +å± Ļ +éĻ ¬ +åĭ IJ +å¥ ĺ +çī Ĥ +èļ © +éĻ ² +å¨ Į +å¨ ī +å¨ ² +å¨ ´ +å¨ £ +å¨ ĵ +å© Ģ +çķ ļ +éĢ ¡ +ç» ł +éª Ĭ +ç» ¡ +éª ĭ +ç» ¦ +ç» ¨ +éª İ +éĤ ķ +é¸ ¶ +å½ Ĺ +èĢ ľ +çĦ ĺ +èĪ Ĥ +çIJ ı +çIJ ĩ +éº ¸ +æı ¶ +åŁ ´ +åŁ ¯ +æį ¯ +æİ ³ +æİ ´ +åŁ ¸ +åŁ µ +èµ § +åŁ ¤ +æį Ń +éĢ µ +åŁ Ŀ +åł ĭ +åł į +æİ ¬ +é¸ · +æį ½ +æİ Ĭ +åł ī +æİ ¸ +æį © +æİ ® +æĤ « +åŁ Ń +åŁ ½ +æİ ĩ +æİ ¼ +èģ ĥ +èIJ ģ +èı ĺ +åł ĩ +èIJ ĺ +èIJ ĭ +èı ½ +èı ĸ +è IJľ +èIJ ¸ +èIJ ij +æ£ » +èı Ķ +èı Ł +èIJ ı +èı ¹ +èı ª +èı ħ +èı Ģ +èı ° +èı ¡ +æ¢ ¿ +æ¢ ı +è§ ĭ +æ¡ ´ +æ¡ · +æ£ ģ +æ¡ « +æ£ Ĥ +åķ ¬ +éĥ ¾ +æķ ķ +è± ī +éĦ Ħ +éħ ŀ +ç¡ İ +ç¡ Ń +ç¡ ĸ +ç¡ Ĺ +ç¡ IJ +ç¡ ĩ +ç¡ Į +é¸ ¸ +çĵ ł +åĮ ı +åİ © +æ® Ĵ +æ® ĵ +æ® į +èµ ī +éĽ © +è¾ Ħ +åł ij +çľ Ń +çľ ¦ +åķ § +æĻ ¡ +æĻ ¤ +çľ µ +åľ Ĭ +åĸ ı +åķ ī +åĭ ĸ +æĻ ŀ +åĶ µ +æĻ Ĺ +åķ Ń +çķ ¦ +è¶ º +åķ ® +è· Ħ +èļ ¶ +è ĽĦ +èĽ İ +èĽ Ĩ +èļ ° +åľ ī +èļ ± +èĽ ī +èĽ ı +èļ ´ +åķ ģ +åķ ķ +åĶ ¿ +åķ IJ +åĶ ¼ +åĶ · +åķ ĸ +åķ µ +åķ ¶ +åķ · +åĶ ³ +åĶ ° +åķ ľ +å¸ » +å´ ļ +å´ ¦ +å¸ ¼ +å´ ® +å´ ¤ +å´ Ĩ +èµ ĩ +èµ Ī +èµ Ĭ +éĵ ij +éĵ Ĵ +éĵ Ĺ +éĵ Ļ +éĵ Ł +éĵ ¡ +éĵ ¢ +éĵ £ +éĵ ¤ +éĵ § +éĵ ¨ +éĵ © +éĵ ª +éĵ « +éĵ ¯ +éĵ ° +éĵ ± +éĵ ³ +éĵ µ +éĵ · +çī ¾ +é¸ ¹ +ç§ ¾ +éĢ ¶ +ç¬ º +çŃ ĩ +ç¬ ¸ +ç¬ ª +ç¬ ® +ç¬ ł +ç¬ ¥ +ç¬ ¤ +ç¬ ³ +ç¬ ¾ +ç¬ ŀ +åģ ¾ +åģ ĥ +åģ ķ +åģ Ī +åĤ Ģ +åģ ¬ +åģ » +çļ ij +çļ İ +é¸ » +å¾ ľ +èĪ ¸ +èĪ » +èĪ ´ +èĪ · +é¾ Ľ +ç¿ İ +èĦ ¬ +èĦ ĺ +èĦ ² +åĮ IJ +çĮ Ĺ +çĮ ¡ +çĮ ŀ +æĸ Ľ +çĮ ķ +é¦ Ĺ +é¦ ĥ +é¦ Ħ +é¸ ¾ +åº ¹ +åº ¾ +çĹ Ķ +çĹ į +ç¿ Ĭ +æĹ Į +æĹ İ +è¢ ¤ +éĺ ĩ +éĺ Ī +éĺ ī +éĺ Ĭ +éĺ ĭ +éĺ į +éĺ ı +ç¾ Ł +ç² Ŀ +çĦ IJ +çĦ ĵ +çĦ Ĺ +æ· ħ +æ· ŀ +æ¸ İ +æ¶ ¿ +æ· ĸ +æĮ ² +æ· ł +æ¶ ¸ +æ¸ ij +æ· ¦ +æ· Ŀ +æ¶ ª +æ· Ļ +æ¶ « +æ¸ Į +æĤ » +æĤ ± +æ ĥĿ +æĥ ĺ +æĥ Ĩ +æĥ ļ +æĥ ĩ +æĥ ® +çª ķ +è° Į +æī Ī +çļ ² +è° ij +è£ Ĩ +è¢ · +è£ ī +è° Ĵ +è° Ķ +è° ķ +è° ĸ +è° Ĺ +è° Ļ +è° Ŀ +éĢ ¯ +éĥ ¿ +éļ Ī +ç² ľ +éļ į +éļ Ĺ +å© Ĭ +å¨ ¼ +å© ¢ +å© µ +èĥ ¬ +è¢ Ī +ç¿ Į +æģ ¿ +æ¬ ¸ +ç» « +éª IJ +ç» ¯ +ç» ± +éª Ĵ +ç» ² +éª ĵ +ç» ¶ +ç» º +ç» » +ç» ¾ +éª ĸ +ç¼ ģ +èĢ ł +çIJ « +çIJ µ +çIJ ¶ +çIJ ¥ +çIJ ¨ +çIJ ° +çIJ ® +çIJ ¯ +çIJ ¬ +çIJ ļ +è¾ ĩ +é¼ ĭ +æı ³ +åł ŀ +æIJ ½ +æı ¸ +æı ł +åł Ļ +è¶ Ħ +æı ĸ +é¢ ī +å¡ Ħ +æı ¿ +èĢ ĭ +æı Ħ +èĽ © +èĽ ° +å¡ Ĩ +æij Ĵ +æı Ĩ +æİ ¾ +èģ Ĵ +èij ij +èij ļ +éĿ ° +éĿ ¸ +èij ³ +èij º +èij ¸ +èIJ ¼ +èij ¶ +è ĴĮ +èij Ń +æ¥ ® +æ £¼ +æ¤ Ł +æ£ ¹ +æ¤ ¤ +æ£ ° +èµ į +æ¤ ĭ +æ¤ ģ +æ¤ ª +æ¤ IJ +é¹ ģ +éħ ¤ +éħ ¢ +éħ ¡ +é¹ Ĥ +æ® ļ +æ® Ľ +éĽ ± +è¾ ĭ +æ¤ ł +è¾ İ +çĿ Ħ +çĿ ĩ +çĿ ĥ +æĪ ¢ +åĸ ĭ +åĹ Ĵ +åĸ ĥ +åĸ ± +åĸ ¹ +æĻ · +åĸ Ī +è· ĸ +è· Ĺ +è· ŀ +è· ļ +è· İ +è· ı +è· Ĩ +èĽ ± +èĽ ² +èĽ Ń +èĽ ³ +èĽ IJ +èĽ Ķ +èĽ ŀ +èĽ ´ +èĽ ĺ +åĸ ģ +åĸ Ł +åķ ¾ +åĹ ĸ +åĸ ij +åĹ Ł +åĹ ŀ +åĸ Ļ +åµ ĺ +åµ ĸ +å´ ´ +éģ Ħ +è© Ī +åµ İ +å µ¬ +åµ Ľ +åµ ¯ +åµ Ŀ +åµ « +å¹ Ħ +åµ ĭ +èµ ķ +éĵ » +éĵ ¼ +éĵ ¿ +éĶ ĥ +éĶ Ĩ +éĶ ĩ +éĶ ī +éĶ ı +éĶ ij +éĶ Ĵ +éĶ Ķ +éĶ ķ +æİ £ +çŁ ¬ +æ° ° +æ¯ ³ +æ¯ ½ +çĬ Ĭ +çĬ Ħ +çĬ ĭ +é ¹Ħ +çĬ į +åµ ĩ +é» į +ç¨ ĥ +ç¨ Ĥ +çŃ ļ +çŃ µ +çŃ Į +åĤ £ +åĤ Ī +èĪ Ħ +çī į +åĤ ¥ +åĤ § +éģ ij +åĤ © +å¾ ¨ +åª Ń +çķ ² +å¼ ij +ç¿ ķ +é¹ Ĩ +èħ Ī +èħ ĵ +èħ Ĩ +èħ ´ +èħ ļ +èħ ± +é± ¿ +é² Ģ +é² Ĥ +çĮ ¢ +çĮ ¹ +çĮ ¥ +é£ ĵ +è§ ŀ +è§ ļ +çĮ ± +é¢ İ +é£ § +é¦ ĩ +é¦ Ĭ +äº µ +èĦ Ķ +è£ Ĵ +çĹ £ +çĹ ¨ +çĹ ¦ +çĹ ŀ +çĹ ¤ +çĹ § +èµ ĵ +ç« ¦ +çĵ ¿ +åķ » +é¢ ı +é¹ ĩ +éĺ ij +éĺ Ĵ +éĺ ķ +ç² ŀ +éģ Ĵ +åŃ ³ +çĦ ¯ +çĦ ľ +çĦ ± +é¹ Ī +æ¸ « +æ¹ ® +æ¹ İ +æ¹ ľ +æ¹ į +æ¹ « +æº ² +æ¹ Ł +æº Ĩ +æ¹ ² +æ¹ Ķ +æ¹ ī +æ¸ ¥ +æ» ģ +æĦ ł +æĥ º +æĦ ¦ +æĥ ´ +æĦ Ģ +æĦ İ +æĦ Ķ +åĸ ¾ +å¯ IJ +è° Ł +è£ ¢ +è£ İ +è£ ¥ +ç¥ ¾ +è° ł +è° ¡ +è° ¥ +è° § +åŃ ± +å¼ ¼ +å· ½ +éª ĺ +åª ª +å· ¯ +ç¿ ļ +çļ ´ +éª Ľ +ç¼ Ĥ +ç¼ ĥ +ç¼ Ħ +å½ ĺ +ç¼ ĩ +ç¼ Ī +ç¼ Į +ç¼ ij +ç¼ Ĵ +ç¼ Ĺ +é£ ¨ +èĢ ¢ +çij ģ +çij Ĺ +çij Ħ +éģ ¨ +éª ľ +éŁ « +é« ¡ +å¡ ¬ +éĦ ¢ +è¶ Ķ +è¶ ij +æij ħ +æij ģ +èľ ĩ +æIJ ĭ +æIJ ª +æIJ IJ +æIJ Ľ +æIJ ł +æij Ī +å½ Ģ +æ¯ Ĥ +æIJ ¦ +æIJ ¡ +èĵ ģ +æĪ ¡ +è ĵį +éĦ ŀ +èĵ IJ +èĵ ¦ +é¹ ĭ +èĴ ½ +èĵ ĸ +èĵ Ĭ +èĴ ¯ +èĵ Ł +èĵ ij +èĴ º +èĵ ł +èĴ Ł +èĴ ¡ +èĴ ¹ +èĴ ´ +èĴ Ĺ +èĵ ¥ +æ¥ Ķ +æ¥ Ĥ +æ¥ Ŀ +æ¥ « +æ¥ ¸ +æ¤ ´ +æ§ Į +æ¥ ¯ +çļ Ļ +æ¦ Ī +æ§ İ +æ¦ ī +æ¥ ¦ +æ¥ £ +æ¥ ¹ +æ¤ ½ +åī ½ +éħ © +èľ ĥ +ç¢ Ľ +ç¢ ĵ +ç¡ ¼ +ç¢ ī +ç¢ ļ +ç¢ ĩ +ç¢ ľ +é¹ Į +è¾ ı +é¾ ĥ +é¾ ħ +è¨ ¾ +ç² ² +çĿ ļ +åĹ ª +éŁ ª +åĹ · +åĹ ī +çĿ ¨ +çĿ ¢ +éĽ İ +çĿ ¥ +åĹ ij +åĹ « +åĹ ¬ +åĹ Ķ +åĹ Ŀ +æĪ ¥ +åĹ Ħ +çħ ¦ +æļ Ħ +éģ ¢ +æ ļĮ +è· ¬ +è· ¶ +è ·¸ +è· IJ +è· £ +è· ¹ +èĽ ¸ +èľ Ĭ +èľ į +èľ ī +èľ £ +çķ ¹ +èĽ ¹ +åĹ ¥ +åĹ ² +åĹ ³ +åĹ Į +åĹ į +åĹ IJ +åĹ ¤ +åĹ µ +ç½ ¨ +åµ Ĭ +åµ ´ +éª ° +éĶ Ĺ +éĶ Ľ +éĶ ľ +éĶ Ŀ +éĶ ŀ +éĶ Ł +éĶ ¢ +éĶ ¨ +éĶ © +éĶ Ń +éĶ ± +éĽ ī +æ° ² +çĬ ı +æŃ ĥ +ç¨ ŀ +ç¨ Ĺ +ç¨ Ķ +çŃ ł +çŃ ¢ +çŃ ® +çŃ ² +çī Ĵ +æķ « +å¾ Ń +æĦ Ĩ +èī Ħ +è§ İ +æ¯ ¹ +è² Ĭ +è² ħ +è² ī +é¢ Ķ +èħ ł +èħ © +èħ ¼ +èħ Ń +è ħ§ +å¡ į +åª µ +é² ħ +é² Ĩ +é² ĩ +é² Ī +é² ĭ +é² IJ +èĤ Ħ +é¹ IJ +é£ ķ +è§ ¥ +éģ Ľ +é¦ IJ +é¹ ij +äº ¶ +çĺ ĥ +çĹ ± +çĹ ¼ +çĹ ¿ +çĺ IJ +çĺ ģ +çĺ Ĩ +éº Ĥ +æŃ Ĩ +æĹ Ĵ +éĺ ĸ +éĺ Ĺ +ç¾ § +è± ¢ +ç² ³ +çĮ · +çħ ³ +çħ ¨ +çħ ħ +çħ Ĭ +çħ ¸ +çħ º +æ» Ł +æº ± +æº ĺ +æ¼ Ń +æ» ¢ +æº ¥ +æº ½ +è£ Ł +æº » +æº · +æ» Ĺ +æ» « +æº ´ +æ» ı +æ» ĥ +æ» ¦ +æº ı +æ» Ĥ +æ» ĵ +æº Ł +æ» ª +æĦ « +æħ Ĭ +é² İ +éª ŀ +çª ł +çª £ +è£ ± +è£ ¨ +è£ ¾ +è£ ° +ç¦ Ĭ +è° © +è° ª +åª ¾ +å« « +åª ² +å« Ĵ +å« Ķ +åª ¸ +ç¼ Ļ +ç¼ ľ +ç¼ Ľ +è¾ Ķ +éª Ŀ +ç¼ Ł +ç¼ ¡ +ç¼ ¢ +ç¼ £ +éª Ł +èĢ ¥ +çĴ Ī +çij Ń +çį Ĵ +è§ ı +æħ Ŀ +å« ł +åı Ĩ +æij ½ +å¢ ģ +æĴ Ĥ +æij ŀ +æĴ Ħ +ç¿ ¥ +è¸ ħ +æij Ń +å¢ ī +å¢ Ĵ +æ¦ ĸ +ç¶ ¦ +èĶ « +èĶ · +éĿ º +éĿ ¼ +éŀ ħ +éĿ ¿ +çĶ į +èĶ ¸ +èĶ Ł +èĶ º +æĪ ¬ +èķ ĸ +èĶ » +èĵ ¿ +æĸ ¡ +é¹ ķ +èĵ ¼ +æ¦ Ľ +æ¦ § +æ¦ « +æ¦ Ń +æ§ Ķ +æ¦ ± +æ§ ģ +æ§ ł +æ¦ · +åĥ ° +éħ ½ +éħ ¹ +ç¢ ¡ +ç¢ ´ +ç¢ £ +ç¢ ² +èĩ § +è± ¨ +æ® ¡ +éľ ģ +èľ ļ +é¾ ĩ +é¾ Ī +ä ģ +äģ ĸ +çĿ ½ +åĺ ŀ +åĺ Ī +åĺ Į +åĺ ģ +æļ Ŀ +è¸ Į +è¸ ī +èľ ŀ +èľ ¥ +èľ ® +èĿ Ī +èľ ´ +èľ ± +èľ © +èľ · +èľ ¿ +èŀ Ĥ +èľ ¢ +åĺ ¡ +é¹ Ĺ +åĺ £ +åĺ ¤ +åĺ ļ +åĹ ¾ +åĺ § +ç½ ´ +ç½ ± +å¹ Ķ +å¶ Ĥ +å¹ Ľ +èµ Ļ +ç½ Ĥ +éª · +éª ¶ +é¹ ĺ +éĶ ² +éĶ ´ +éĶ ¶ +éĶ · +éĶ ¸ +éĶ µ +éķ Ĥ +çĬ Ĵ +ç® IJ +ç® ¦ +ç® § +ç® ¸ +ç® ¬ +ç® ħ +ç® ª +ç® ľ +ç® ¢ +ç® ĵ +åĥ ĸ +åĦ Ĩ +åĥ ³ +åĥ Ń +åĬ ģ +åĥ ® +éŃ ĥ +éŃ Ĩ +çĿ ¾ +èī ĭ +éĦ ± +èĨ Ī +èĨ ij +é² ij +é² Ķ +é² ļ +é² Ľ +é² Ł +çį IJ +è§ « +éĽ Ĵ +å¤ ¤ +é¦ ij +éĬ ® +å¡ ¾ +çĺ Į +çĺ Ĭ +çĺ ĺ +çĺ Ļ +æĹ ĸ +èĨ Ĥ +éĺ ļ +éĦ ¯ +é² ŀ +ç² ¿ +ç² ¼ +ç³ ģ +æ§ Ĭ +é¹ ļ +çĨ ĺ +çĨ ¥ +æ½ ¢ +æ¼ ķ +æ» ¹ +æ¼ ¯ +æ¼ ¶ +æ½ ĭ +æ½ ´ +æ¼ ª +æ¼ ī +æ¼ © +æ¾ ī +æħ µ +æIJ ´ +çª ¨ +å¯ ¤ +ç¶ ® +è° ® +è¤ ¡ +è¤ Ļ +è¤ ĵ +è¤ Ľ +è¤ Ĭ +è° ¯ +è° ° +è° ² +å± £ +é¹ Ľ +å« ± +å« ĸ +å« ¦ +å« ļ +å «ĺ +é¼ IJ +çŀ Ģ +é¹ ľ +éª ł +ç¼ ¥ +ç¼ ¦ +ç¼ § +ç¼ ¨ +éª ¢ +ç¼ « +èĢ ¦ +èĢ § +çĴ ľ +çĴ İ +çĴ ģ +å¥ Ń +é« ¯ +é« « +æĴ · +æĴ ħ +èµ Ń +æĴ ¸ +éĭ Ĩ +æĴ Ļ +æĴ º +å¢ Ģ +èģ © +è§ IJ +éŀ ij +èķ Ļ +éŀ Ĵ +èķ Ī +èķ ¨ +èķ ¤ +èķ ŀ +èķ º +çŀ ¢ +èķ ĥ +èķ ² +èµ ľ +æ§ ¿ +æ¨ ¯ +æ§ Ń +æ¨ Ĺ +æ¨ ĺ +æ§ ² +éĨ Į +éĨ ħ +éĿ ¥ +éŃ ĩ +é¤ į +ç£ Ķ +ç£ Ļ +éľ Ī +è¾ ĺ +é¾ ī +é¾ Ĭ +è§ ij +çŀ Į +ç ŀĭ +çŀ ij +åĺ Ń +åĻ İ +åĻ ¶ +é¢ Ļ +æļ ¹ +åĻ ĺ +è¸ Ķ +è¸ Ŀ +è¸ Ł +è¸ Ĵ +è¸ ¬ +è¸ ® +è¸ ¯ +è¸ º +è¸ ŀ +èĿ ½ +èĿ ¾ +èĿ » +èĿ ° +èĿ ® +è ŀĭ +èĿ ĵ +èĿ £ +è Ŀ¼ +åĺ ¬ +é¢ ļ +åĻ į +åĻ Ļ +åĻ Į +åĻ Ķ +é¢ Ľ +å¹ ŀ +å¹ ¡ +å¶ Ļ +å¶ Ŀ +éª º +éķ Ĭ +éķ ī +éķ Į +éķ ı +éķ Ĵ +éķ ĵ +éķ Ķ +ç¨ · +ç® ´ +ç¯ ij +ç¯ ģ +ç¯ Į +çī ĸ +åĦ ĭ +èĻ ¢ +é¹ ŀ +èĨ ĺ +é² ł +é² ¡ +é² ¢ +é² £ +é² ¥ +é² § +é² © +çį Ĺ +çį ł +è§ ¯ +é¦ ĵ +é¦ Ķ +éº ¾ +å» Ľ +çĺ Ľ +çĺ ¼ +çĺ ¢ +çĺ ł +é½ ij +ç¾ ° +𥠻 +ð¥» Ĺ +ç³ Į +ç³ į +ç³ ħ +çĨ ľ +ç Ĩµ +æ¾ į +æ¾ Į +æ½ ¸ +æ½ ¦ +æ½ ² +éĭ Ī +æ½ Ł +æ½ º +å¯ ® +çª ³ +è° ³ +è¤ ´ +è¤ Ł +è¤ « +è° µ +çĨ ¨ +å± ¦ +åĭ ° +æĪ ® +èĿ ¥ +ç¼ ¬ +ç¼ ® +ç¼ ¯ +éª £ +çķ ¿ +èĢ © +èĢ ¨ +èĢ ª +çĴ Ł +éĿ Ľ +çĴ ł +çĴ ĺ +èģ ± +èŀ ¯ +é« » +é« Ń +é« ¹ +æĵ Ģ +çĶ ı +æĵ ŀ +ç¸ ł +ç£ ¬ +é¢ ŀ +èķ » +é¢ Ł +èĸ ¤ +èĸ ¨ +æª ł +èĸ ı +èĸ ® +èĸ ľ +èĸ ħ +æ¨ ¾ +æ© Ľ +æ© ĩ +æ¨ µ +æª İ +æ© ¹ +æ¨ ½ +æ¨ ¨ +æ© ¼ +å¢ ¼ +æ© IJ +ç¿ ® +éĨ IJ +éĨ į +éĨ ļ +ç£ ² +èµ Ŀ +æ® ª +éľ ı +éĮ ¾ +è¾ ļ +éģ ½ +æ° ħ +çŀ Ł +çŀ ł +çŀ ° +åļ Ħ +åļ Ĩ +åĻ ¤ +æļ ¾ +è¹ Ģ +è¸ µ +è¸ ½ +è¹ ī +è¹ ģ +èŀ ¨ +èŀ Ī +èŀ ħ +èŀ Ń +èŀ ł +èŀ Ł +åĻ ± +åĻ « +åĻ » +åĻ ¼ +ç½ ¹ +åľ ľ +ä ¦ +ä¦ ĥ +éķ Ĺ +éķ ĺ +éķ ļ +éķ Ľ +éķ Ŀ +éķ ŀ +éķ ł +æ° ĩ +æ° Ĩ +ç© ij +ç¯ Ŀ +ç¯ ¥ +ç¯ ¦ +ç¯ ª +ç¯ Ļ +çĽ ¥ +åĬ ĵ +ç¿ ± +éŃ ī +éŃ Ī +å¾ ¼ +æŃ Ļ +èĨ ¦ +èĨ Ļ +é² ® +é² ± +é² ³ +é² ´ +é² µ +é² · +é² » +çį ´ +çį Ń +çį ¬ +éĤ Ĥ +é¹ § +å» ¨ +èµ Ł +çĺ ° +å» ª +çĺ ¿ +çĺ µ +çĺ ´ +çĻ ĥ +çĺ ³ +éº ĩ +éº Ī +å ¬´ +å£ ħ +ç³ Ĺ +çĶ ij +çĩ İ +çĩ ł +çĩ Ķ +çĩ § +æ¿ ij +æ¿ ī +æ½ ŀ +æ¾ § +æ¾ ¹ +æ¾ ¥ +æ¾ ¶ +æ¿ Ĥ +è¤ ° +çª ¸ +å¬ ĸ +çĬ Ł +éļ ° +å¬ Ĺ +é¢ ¡ +ç¼ ± +ç¼ ² +ç¼ ³ +çĴ © +çĴ ª +èŀ « +æĵ ¤ +å£ ķ +è§ ³ +ç½ Ħ +æĵ ¢ +èĸ ¹ +éŀ ¡ +éŀ ¬ +èĸ · +èĹ ĵ +èĹ ģ +æª Ħ +æª © +æĩ ĭ +éĨ ¢ +ç¿ ³ +ç¤ ħ +ç£ ´ +é¹ © +é¾ ĭ +é¾ Į +è± ³ +å£ ij +é» » +åļ ı +åļ ħ +è¹ ij +è¹ Ĵ +è¹ Ĭ +è Ł¥ +èŀ ¬ +èŀ µ +çĸ ĥ +èŀ ³ +èŁ ij +åļ ĵ +ç½ ½ +ç½ ¾ +å¶ · +é» ľ +é» Ŀ +é« ģ +é« Ģ +éķ ¡ +éķ ¢ +éķ £ +éķ ¦ +éķ § +éķ © +éķ ª +éķ « +ç½ ħ +ç° Į +ç¯ ¾ +ç¯ ¼ +ç° ĸ +ç° ĭ +é¼ ¢ +åĦ ¡ +é¹ ª +é¼ ¾ +çļ ¤ +éŃ į +é¾ ł +ç¹ ĩ +è² ĺ +éĤ Ī +è² Ķ +èĩ Į +èĨ » +èĩ Ĩ +èĩ ĥ +é² ¼ +é² ½ +é³ Ģ +é³ ĥ +é³ ħ +é³ ĩ +é³ Ĭ +èŀ ½ +çĩ ® +é¹ « +ç³ ľ +ç¸ » +çĻ į +éº ĭ +æĩ ij +æ¿ ¡ +æ¿ ® +æ¿ ŀ +æ¿ ł +æ¿ ¯ +è¹ ĩ +è¬ ĩ +éĤ ĥ +è¥ ģ +æª Ĺ +æ ĵĺ +åŃ º +éļ ³ +å¬ · +èŁ Ĭ +é¹ ¬ +éį ª +éı Ĭ +é¬ Ī +é¬ ĥ +çŀ ½ +éŀ ¯ +éŀ ¨ +éŀ « +éŀ § +éŀ £ +èĹ ľ +èĹ ł +éĨ ª +è¹ Ļ +ç¤ ĵ +çĩ ¹ +é¤ ® +çŀ ¿ +æĽ Ľ +é¢ ¢ +èº ĩ +è¹ ļ +èŁ Ľ +èŁ ª +èŁ ł +èŁ ® +é¹ ® +é» ł +é» Ł +é« ħ +é« Ĥ +éķ ¬ +éķ Ń +éķ ¯ +é¦ ¥ +ç° Ł +ç° ª +é¼ ¬ +éĽ ł +èī Ł +é³ İ +é³ ı +é³ IJ +çĻ ŀ +çĻ Ķ +ç³ ¨ +è¹ © +éİ ı +éĤ ĭ +é¬ ı +æĶ ī +éŀ ² +éŀ ´ +èĹ ¿ +èĺ § +èĺ ħ +éĨ ® +éĨ ¯ +éħ ĥ +éľ ª +éľ Ń +éľ ¨ +é» ¼ +åļ ¯ +è¹ ° +è¹ ¶ +è¹ ½ +è¹ ¼ +è¹ ´ +è¹ ¾ +è¹ ¿ +èł ĸ +èł ĵ +èŁ ¾ +èł Ĭ +é» ¢ +é« ĭ +é« Į +éķ ² +ç± Ģ +é½ ģ +éŃ ij +èī ¨ +é³ ĵ +é³ Ķ +é³ ķ +é³ Ĺ +é³ Ļ +éı ĸ +ç¾ ¸ +㸠Ĩ +çĢ £ +çĢ Ľ +è¥ ¦ +è° ¶ +è¥ ŀ +éª ¥ +ç¼ µ +çĵ Ĵ +æĶ ĺ +èĺ © +èĺ ĸ +éĨ ´ +éľ ° +éħ Ĩ +çŁ į +èº ħ +é¼ į +å· ī +é» © +é» ¥ +é» ª +éķ ³ +éķ ´ +é» § +çº Ĥ +çĴ º +é¼ ¯ +èĩ ľ +é³ ľ +é³ Ŀ +é³ Ł +çį ¾ +åŃ Ģ +éª § +ç ĵĺ +é¼ Ļ +éĨ º +ç¤ ´ +é¢ ¦ +æĽ © +é³ ¢ +éº Ŀ +å¤ Ķ +çĪ Ŀ +çģ ı +ç¦ ³ +éIJ ¾ +ç¾ ¼ +èł ¡ +èĢ ± +é¹ ³ +æ° į +é¥ ķ +èº IJ +é« ij +éķ µ +ç© ° +é¥ Ķ +é¬ » +é¬ Ł +è¶ ± +æĶ « +æĶ ¥ +é¢ § +èº ľ +é¼ ¹ +çĻ ¯ +èł ² +èł ¹ +èº ŀ +è¡ ¢ +çģ ŀ +è¥ » +çº Ľ +é¬ £ +æĶ ® +åĽ Ķ +é¦ ķ +æĪ Ĩ +çĪ ¨ +é½ ī +äº į +å° ¢ +å½ ³ +åį ¬ +æ® ³ +ðł Ļ¶ +æ¯ Į +éĤ ĺ +æĪ ĭ +åľ ¢ +æ° ķ +ä¼ ĭ +ä» Ŀ +åĨ ® +æ° ¿ +æ± Ī +æ° ¾ +å¿ ī +å® Ħ +𬣠Ļ +è® ± +æī ŀ +åľ ² +åľ « +èĬ ı +èĬ ĥ +æľ ³ +æľ ¸ +ð¨ Ļ +ð¨Ļ ¸ +éĤ ¨ +åIJ Ĵ +åIJ ĸ +å± ¼ +å± ¾ +è¾ ¿ +éĴ Ĩ +ä» ³ +ä¼ £ +ä¼ Ī +çĻ ¿ +çĶ ª +éĤ ł +çĬ ´ +åĨ ± +éĤ ¡ +ð¬ĩ ķ +æ± ĭ +ä ľ +äľ £ +è® » +𬣠ŀ +åŃ ĸ +ð¬ĺ ĵ +çº © +çİ Ĵ +çİ ĵ +çİ ĺ +çİ ļ +åĪ ¬ +ð«Ń Ł +åĿ ľ +åĿ ī +æī ½ +ð«Ń ¢ +åĿ ĭ +æī º +㧠ij +æ¯ IJ +èĬ ° +èĬ £ +èĭ Ĭ +èĭ ī +èĬ ĺ +èĬ ´ +èĬ ł +ð« ĩ +ð«ĩ Ń +èĬ ¤ +æĿ ķ +æĿ Ļ +æĿ Ħ +æĿ § +æĿ © +å° ª +å° ¨ +è½ ª +ð«IJ Ħ +åĿ Ĵ +èĬ Ī +æĹ ´ +æĹ µ +åij Ļ +ã ķ +ãķ ® +å² į +ð« µ +𫵠· +å² ł +å² ľ +åij ĩ +åĨ ı +è§ ĥ +å² Ļ +ä¼ ¾ +ãij ĩ +ä¼ Ń +ä½ ĸ +ä¼ ² +ä½ ģ +é£ ı +çĭ ĥ +éĹ ¶ +æ± § +æ± « +𣲠ĺ +ð£² Ĺ +æ² Ħ +æ² ĺ +ð¬ĩ Ļ +æ± Ń +ã³ ĩ +æ² ĩ +å¿ ® +å¿ ³ +å¿ º +𬣠¡ +ç¥ ĥ +è¯ ĩ +éĤ ² +è¯ İ +è¯ IJ +å± ĥ +ð« ¸ +𫸠© +å² Ĭ +éĺ ½ +ä¢ º +éĺ ¼ +å¦ § +å¦ ĺ +ð¨ ļ +ð¨ļ ķ +çº ® +é© ² +ð«ĺ ľ +çº » +ð¬ĺ ĺ +ð«ĺ Ŀ +çº ¼ +çİ ¤ +çİ ŀ +çİ ± +çİ Ł +éĤ ½ +éĤ ¿ +åĿ ¥ +åĿ ° +åĿ ¬ +åĿ ½ +å¼ Ĩ +èĢ µ +ä¢ ¼ +ð¦ Ń +ð¦Ń ľ +èĮ ĭ +èĭ § +èĭ ¾ +èĭ ł +æŀ ħ +ãŃ İ +æŀ ĺ +æŀ į +çŁ ¼ +çŁ » +åĮ ¼ +𬨠Ĥ +ð¬Ģ © +ð¬Ģ ª +æĹ ¿ +æĺ Ħ +æĺ Ĵ +æĺ Ī +åĴ ī +åĴ ĩ +åĴ į +å² µ +å² ½ +å² ¨ +å² ŀ +å³ Ĥ +ã Ł +ãŁ ĥ +åĽ · +𬬠© +éĴ IJ +éĴ Ķ +éĴ ĸ +çī ¥ +ä½ ´ +åŀ Ī +ä¾ ģ +ä¾ ¹ +ä½ ¸ +ä½ º +éļ ¹ +ãij Ĭ +ä¾ Ĥ +ä½ ½ +ä¾ ĺ +éĥ Ī +èĪ ł +éĥ IJ +éĥ ĥ +æĶ ½ +èĤ Ń +èĤ ¸ +èĤ · +çĭ ī +çĭ Ŀ +é¥ ³ +å¿ ŀ +çĤ Į +çĤ Ĩ +æ³ Ļ +æ² º +æ³ Ĥ +æ³ ľ +æ³ ĥ +æ³ ĩ +æĢ Ĭ +å³ ĥ +ç© ¸ +ç¥ ĭ +ç¥ Ĭ +ð«į £ +𬣠³ +𬠩½ +é¸ ¤ +å¼ ¢ +å¼ ¨ +éĻ ij +𬮠¿ +éĻ İ +𬯠Ģ +åį º +ä¹ ¸ +å¦ Ń +å§ Ī +ð« ° +ð«° Ľ +è¿ ³ +åı ķ +𬳠µ +é© µ +𬳠¶ +ä Į +äĮ ¹ +é© º +ð«ł Ĭ +ç» ĭ +ç» IJ +çł ī +èĢ Ķ +ãĽ ĥ +çİ ¶ +çı ĩ +çı ħ +ð¬į Ľ +çı ĭ +çİ ¹ +çı Į +çİ ¿ +éŁ ¨ +åŀ ļ +åŀ ¯ +åŀ Ļ +åŀ ² +åŁ ı +åŀ į +èĢ ĩ +é¿ į +åŀ İ +åŀ ´ +åŀ Ł +åŀ ŀ +æĮ ĵ +åŀ µ +åŀ ı +æĭ ¶ +èį ĸ +èį ģ +èį Ļ +èį Ľ +èĮ Ī +èĮ ½ +èį Ħ +èĮ º +ð¬ľ ¬ +èį ĵ +èĮ ³ +𦠰 +𦰠¡ +èĮ Ľ +èį Ń +ãŃ ķ +æŁ · +æŁ ĥ +æŁ Ĭ +æŀ ¹ +æł IJ +æŁ ĸ +éĥ ļ +åī ħ +ä´ ĵ +è¿ º +åİ ĸ +çł Ĩ +çł ij +çł Ħ +èĢ ı +å¥ ĵ +ä ¶ +ä¶ ® +è½ µ +è½ · +è½ ¹ +è½ º +æĺ º +𪠾 +𪾠¢ +æĺ ½ +çĽ · +åĴ ¡ +åĴ º +æĺ ³ +æĺ £ +æĺ ¤ +æĺ « +æĺ ¡ +åĴ ¥ +æĺ ª +èĻ · +èĻ ¸ +åĵ ĥ +å³ ĺ +èĢ ij +å³ Ľ +𪨠° +å³ Ĺ +å³ § +å¸ ¡ +éĴ ĺ +ð«ĵ § +éĴ ľ +𬬠® +𬬠± +ð¬¬ Ń +éĴ ª +éĴ ¬ +éĴ Ń +çŁ § +ç§ ¬ +ä¿ « +èĪ ģ +ä¿ ľ +ä¿ Ļ +ä¿ į +åŀ ķ +è¡ İ +èĪ £ +å¼ ĩ +ä¾ ´ +é¸ § +äı ¡ +èĥ ł +ð¦ Ļ¶ +èĥ Ī +èĥ © +èĥ £ +æľ ı +é£ IJ +è¨ Ħ +é¥ » +åº ¤ +çĸ ¢ +çĤ £ +çĤ Ł +ã ¶ +㶠² +æ´ Ń +æ´ ĺ +æ´ ĵ +æ´ ¿ +ã³ ļ +æ³ ļ +æµ Ī +æµ ī +æ´ ¸ +æ´ ij +æ´ ¢ +æ´ Ī +æ´ ļ +æ´ º +æ´ ¨ +æµ IJ +ã³ ĺ +æ´ ´ +æ´ £ +æģ Ķ +å® ¬ +çª Ģ +æī Ĥ +è¢ Ĩ +ç¥ ı +ç¥ IJ +ç¥ ķ +åı ļ +éĻ § +éĻ ŀ +å¨ Ģ +å§ ŀ +å§ ± +å§ ¤ +å§ ¶ +å§ ½ +æŀ ² +ç» ĸ +éª ĥ +ð¬ĺ ¡ +𬳠½ +ð¬ĺ © +ð«Ħ § +å½ ĸ +éª ī +æģ Ŀ +çı ª +çı Ľ +çı ¹ +çIJ Ĭ +çİ ¼ +çı ĸ +ðª Ł +ðªŁ Ŀ +çı ½ +çı ¦ +çı « +çı Ĵ +ð¬į ¤ +çı ¢ +çı ķ +çı Ŀ +ð«Ń ¼ +åŁ Ĺ +åŀ ¾ +åŀ º +åŁ Ĩ +åŀ ¿ +åŁ Į +åŁ ĩ +èİ ° +èĮ Ŀ +ð¬ľ ¯ +éĦ Ģ +èİ ¶ +èİ Ŀ +äĵ ĸ +èİ Ļ +æł » +æ¡ ł +ð¬ Ĥ +ð¬Ĥ © +æ¡ Ħ +æ¢ ł +æł ´ +æ¢ ´ +æł Ĵ +éħ İ +éħ ı +ð«ł Ĩ +çł µ +çł ł +çł « +çł ¬ +ç¡ ģ +æģ § +ç¿ ĥ +éĥ ª +ð¨ IJ +ð¨IJ Ī +è¾ Ģ +è¾ ģ +ð¬ Į +ð¬Į Ĺ +åī ķ +èµ Ģ +åĵ ¢ +æĻ ħ +æĻ Ĭ +åĶ Ŀ +åĵ ³ +åĵ ± +åĨ Ķ +æĻ Ķ +æĻ IJ +çķ ĸ +èļ Ħ +èļ Ĩ +ð« ij +ð«ij ¡ +å¸ ± +å´ ģ +å³ ¿ +𪨠¶ +å´ Ħ +å¸ ¨ +å ´Ģ +èµ Ĩ +𬠬¸ +éĴ · +𬬠» +𬬠¹ +𬬠¿ +ð¬Ń ģ +çľ ļ +çĶ ¡ +ç¬ « +åĢ » +åĢ ´ +èĦ © +åĢ ® +åĢ ķ +åĢ ŀ +ð« ¢ +ð«¢ ¸ +åĢ ĵ +åĢ § +è¡ ĥ +èĻ Ĵ +èĪ Ń +èĪ ¯ +èĪ ¥ +çĵ ŀ +é¬ ¯ +é¸ ° +èĦ İ +æľ ĵ +èĥ ² +èĻ ĵ +é± ½ +çĭ ´ +å³ ± +çĭ » +çľ ¢ +ð«Ĺ § +åĭ į +çĹ Ħ +çĸ ° +çĹ ĥ +ç« ĺ +ç¾ ĸ +ç¾ ĵ +æ¡ Ĭ +æķ ī +çĥ ł +çĥ Ķ +çĥ ¶ +çĥ » +ð¬Ĭ Ī +æ¶ į +æµ ¡ +æµ Ń +æµ ¬ +æ¶ Ħ +æ¶ ¢ +æ¶ IJ +æµ ° +æµ Ł +æµ Ľ +æµ ¼ +æµ ² +æ¶ ĺ +æĤ Ī +æĤ ĥ +æĤ ¢ +ð¬Ĵ Ī +å® § +çª ħ +çª Ĭ +çª İ +æī ħ +æī Ĩ +è¢ ª +è¢ Ĺ +è¢ ¯ +ç¥ § +éļ º +åł ² +çĸ į +𨠺 +𨺠Ļ +éĻ ´ +ç ĥĿ +çł ® +ãĽ ļ +åĵ ¿ +ç¿ Ģ +ç¿ Ĥ +åī Ł +𬳠¿ +ð«Ħ ¨ +ç» ¤ +éª į +ð¬ĺ « +ä Ĥ +äĤ ® +çIJ İ +çı ¸ +çı µ +çIJ Ħ +çIJ Ī +çIJ Ģ +çı º +æİ Ń +åł İ +åł IJ +åŁ ¼ +æİ İ +åŁ « +åł Į +æĻ ¢ +ð« ® +ð«® ĥ +æİ ŀ +åŁ ª +å£ ¸ +ãĻ į +èģ į +èı Ŀ +èIJ ļ +èı ¥ +èİ ¿ +äĵ « +åĭ ļ +äĵ ¬ +èIJ Ĩ +èı Ĥ +èı į +èı ¼ +èIJ £ +äĵ ¨ +èı ī +äĵ Ľ +æ¢ ¼ +æ¢ ½ +æ¡ ² +æ¢ ¾ +æ¡ ¯ +æ¢ £ +æ¢ Į +æ¡ ¹ +æķ Ķ +åİ £ +ç¡ Ķ +é¿ İ +ç¡ Ļ +ç¡ ļ +ç¡ Ĭ +ç¡ į +åĭ Ķ +ä´ ķ +é¾ ģ +éĢ ´ +åĶ ª +åķ « +ç¿ Ī +ã « +ã« ° +æĻ Ļ +çķ ¤ +𬱠ĸ +è¶ ¼ +è· Ĥ +èĽ ĥ +èļ ² +ð¬Ł ½ +èļ º +åķ ´ +äİ ĥ +å´ § +å´ Ł +å´ ŀ +å´ Ĵ +å´ Į +å´ ¡ +éĵ ı +ð«ĵ ¯ +ð«Ł ¹ +éĵ ķ +ð«Ł ¼ +éĵ ĸ +éĵ ĺ +éĵ ļ +éĵ ŀ +éĵ ¥ +éĵ ´ +çī » +çī ¿ +ç¨ Ĩ +ç¬ ± +ç¬ ¯ +åģ ° +åģ ¡ +é¸ º +åģ Ń +åģ ² +åģ ģ +ã ¿ +ã¿ ł +éĦ ħ +åģ ĵ +å¾ Ľ +è¡ Ĵ +èĪ ³ +èĪ ² +é¸ ¼ +æĤ Ĩ +éĦ ĥ +çĵ » +ä Ŀ +äĿ Ļ +èĦ ¶ +èĦ ŀ +èĦ Ł +äı ² +é± ¾ +çĮ ĩ +çĮ Ĭ +çĮ Ħ +è§ ĸ +ðł ħ +ðłħ ¤ +åº ± +åº ¼ +åº ³ +çĹ ĵ +ä´ Ķ +ç« « +åł ĥ +éĺ Į +ç¾ Ŀ +ç¾ ķ +çĦ Ĩ +çĥ º +çĦ Į +æ· ı +ð¬ĩ ¹ +æ· Ł +æ· ľ +æ· ´ +æ· ¯ +æ¹ ´ +æ¶ ´ +ð¬į ¡ +ã ¥ +㥠Ħ +æĥ Ľ +æĥ Ķ +æĤ ° +æĥ Ļ +å¯ ģ +éĢ Ń +𬤠ĩ +ð«į ¯ +è¢ ¼ +è£ Ī +ç¥ ² +𬤠Ĭ +ð«į ² +è° ŀ +èī ´ +å¼ ¸ +å¼ ¶ +ð¬¯ İ +éļ ĥ +å© ŀ +å¨ µ +å© ¼ +åª ĸ +å© ³ +å© į +å© Į +å© « +å© ¤ +å© ĺ +å© ł +ð¬ĺ ¬ +ð¬ĺ Ń +𬴠Ĥ +ð«ĺ ¦ +ç» ¹ +ð«Ł ħ +ð¬ĺ ¯ +éª ķ +ð«ĺ § +çµ ľ +çı · +çIJ ² +çIJ ¡ +çIJ Ł +çIJ Ķ +çIJ Ń +åł ¾ +åł ¼ +æı ķ +ãĻ ĺ +åł § +åĸ Ĩ +åł ¨ +å¡ ħ +åł ł +çµ · +𪠣 +𪣠» +ð¡ İ +ð¡İ ļ +è ijľ +æĥ İ +èIJ ³ +èij Ļ +éĿ ¬ +èij ´ +èĴ ĩ +èĴ Ī +éĦ ļ +èĴ ī +èĵ ĩ +èIJ © +èij ° +èij İ +éĦ ij +èĴ İ +èij ĸ +èĴ Ħ +èIJ ¹ +æ£ ¤ +æ£ ½ +æ£ « +æ¤ ĵ +æ¤ ij +ð¬ ĥ +ð¬ĥ Ĭ +é¹ Ģ +æ¤ Ĩ +æ£ ĵ +æ£ ¬ +æ£ ª +æ¤ Ģ +æ¥ Ĺ +𬠷 +𬷠ķ +çĶ ¦ +éħ ¦ +è§ Į +å¥ ¡ +çļ ķ +ç¡ ª +æ¬ ¹ +è© Ł +ð«IJ IJ +è¾ Į +æ£ IJ +é¾ Ĥ +𬠹 +𬹠¼ +é» ¹ +çī ļ +çĿ İ +æĻ « +æĻ ª +æĻ ± +ð § +𧠿 +𧿠¹ +èĽ ij +çķ ¯ +æĸ Ŀ +åĸ ¤ +å´ ¶ +åµ ģ +ð« ¶ +𫶠ĩ +å´ ¾ +åµ ħ +å´ ¿ +åµ ļ +ç¿ Ļ +ð«ĸ ® +åľ Į +åľ IJ +èµ ij +èµ Ĵ +é¿ ı +éĵ ¹ +ð¬Ń Ĭ +éĵ ½ +𨱠ĩ +ð«ĵ ¶ +éĶ Ĭ +éĶ į +éĶ İ +ð¬Ń İ +éĶ ĵ +çĬ ĩ +é¢ ĭ +ç¨ Į +çŃ Ģ +çŃ ĺ +çŃ ľ +çŃ ¥ +çŃ ħ +åĤ ĥ +åĤ ī +ç¿ Ľ +åĤ Ĵ +åĤ ķ +èĪ ¾ +çķ ¬ +ð«ĸ ¯ +èĦ ¿ +èħ ĺ +ä IJ +äIJ ĥ +èħ Ļ +èħ Ĵ +𬱠Ł +é² ĥ +çĮ ° +ð« Ľ +ð«Ľ Ń +çĮ ¯ +ã º +㺠Ħ +é¦ ī +åĩ ĵ +éĦ Ĺ +ð« · +ð«· · +å» ĭ +å» Ĩ +éĦ Į +ç² ¢ +éģ Ĩ +æĹ IJ +𬮠± +çĦ ŀ +ð¬Ĭ ¤ +æ¬ » +𣠸 +𣸠£ +æº ļ +æº ģ +æ¹ Ŀ +æ¸ ° +æ¹ ĵ +ã ´ +ã´ Ķ +æ¸ Ł +æº ł +æ¸ ¼ +æº ĩ +æ¹ £ +æ¹ ij +æº ŀ +æĦ IJ +æĦ ĥ +æķ © +çĶ ¯ +æ£ ¨ +æī Ĭ +è£ £ +ç¥ ¼ +å© » +åª Ĩ +åª ŀ +ãĽ ¹ +åª ĵ +åª Ĥ +åª Ħ +æ¯ µ +çŁ ŀ +𬴠ĥ +ð«ĺ ¨ +ç¼ Ĭ +ç¼ IJ +éª Ļ +çij ĥ +çij ĵ +çij ħ +çij Ĩ +ä´ ĸ +çij ĸ +çij Ŀ +çij Ķ +çij Ģ +𤠧 +𤧠Ľ +çij ³ +çij Ĥ +å¶ ħ +çij ij +éģ ĺ +é« ¢ +å¡ ¥ +åł ½ +èµ ª +æij Ľ +å¡ Ŀ +æIJ Ĵ +æIJ Į +èĴ ± +èĴ ¨ +èĵ ı +èĶ Ģ +èĵ ¢ +èĵ Ĥ +èĴ » +èĵ £ +æ¤ ¹ +æ¥ ª +æ¦ ĥ +æ¦ ħ +æ¥ Ĵ +æ¥ © +æ¦ ĩ +æ¤ ¸ +æ¥ Ļ +æŃ ħ +𬠪 +𬪠© +ç¢ ĥ +ç¢ ı +ð¬Ĵ Ķ +ç¢ Ī +äĥ ħ +ç¡ ¿ +éĦ ł +è¾ Ĵ +ð¬¨ İ +ð«IJ ĵ +é¾ Ĩ +è§ ľ +ä £ +ä£ ĺ +æļ ķ +é¹ į +ð« « +ð«« ĩ +㬠Ĭ +æļ ħ +è· ± +èľ IJ +èľ İ +åµ ² +èµ Ĺ +éª ± +éĶ ĸ +ð«ĵ ¹ +éĶ ĺ +éĶ ³ +éĶ § +éĶ ª +ð¬Ń ļ +éĶ « +éĶ ¬ +ð¬Ń Ľ +ç¨ ij +ç¨ Ļ +ä ħ +äħ Ł +ð¬ ķ +ð¬ķ Ĥ +çŃ » +çŃ ¼ +çŃ ¶ +çŃ ¦ +çŃ ¤ +åĤ º +é¹ İ +åĥ ĩ +èī ħ +èī ī +è° ¼ +è² Ĩ +èħ ½ +èħ ¨ +èħ ¯ +é² ī +é² Ĭ +é² Į +ä² Ł +𬶠ĭ +𬶠į +é² ı +éĽ Ĭ +çĮ º +é£ Ķ +è§ Ł +ð¦ Ŀ¼ +é¦ Į +è£ Ľ +å» Ĵ +çĺ ħ +éĦ ĺ +é¹ Ĵ +éĦ ľ +éº Ģ +éĦ £ +éĺ ĺ +ð«Ķ ¶ +çħ ģ +çħ ĥ +çħ ´ +çħ ĭ +çħ Ł +çħ ĵ +æ» ł +æº į +æº ¹ +æ» Ĩ +æ» ī +æº ¦ +æº µ +æ¼ · +æ» § +æ» ĺ +æ» į +æĦ Ń +æħ ¥ +æħ Ĩ +å¡ ± +ð« ĮĢ +è £¼ +ç¦ ĭ +ç¦ Ķ +ç¦ ĺ +ç¦ Ĵ +è° « +é¹ Ķ +ð«ĸ ³ +æĦ į +å« Ħ +åª ± +æĪ ¤ +åĭ ł +æĪ £ +ð«ĺ ª +ð«ĺ ¬ +ç¼ ŀ +èĢ ¤ +çij § +ð« ŀ +ð«ŀ © +çij ¨ +çij ± +çij · +çij ¢ +æĸ ł +æij ı +å¢ ķ +å¢ Ī +å¢ IJ +å¢ ĺ +æij ´ +éĬ İ +ð¡ IJ +ð¡IJ ĵ +å¢ ļ +æĴ ĸ +𪠤 +ðª¤ Ĺ +éĿ ½ +éŀ ģ +èĶ Į +èĶ Ī +èĵ ° +èĶ ¹ +èĶ Ĭ +åĺ ı +æ¦ ° +æ¦ ij +æ§ ļ +ð£ Ĺ +ð£Ĺ ĭ +æ§ ľ +æ¦ į +çĸ IJ +𬸠ĺ +éħ º +éħ ¾ +éħ ² +éħ ´ +ç¢ ¶ +äĥ İ +ð¬Ĵ Ĺ +ç¢ ¨ +ð¥ Ķ +ð¥Ķ ² +ç¢ ¹ +ç¢ ¥ +åĬ Ĥ +ð«ļ ĸ +ä´ Ĺ +å¤ ¥ +çŀ į +é¹ ĸ +ã¬ İ +è· ½ +èľ ¾ +å¹ ĸ +å¶ į +åľ Ļ +𨱠ı +éĶ º +éĶ ¼ +éĶ ½ +ð¬Ń ¤ +éĶ ¾ +éĶ ¿ +éķ ĥ +éķ Ħ +éķ ħ +é¦ Ŀ +é¹ Ļ +ç® ¨ +ç® ĸ +åĬ Ħ +åĥ ¬ +åĥ ¦ +åĥ Ķ +åĥ İ +æ§ ĥ +ãĻ ¦ +é² Ĵ +é² ķ +ð«ļ ķ +é² ĸ +é² Ĺ +é² ĺ +é² Ļ +𬶠IJ +𬶠ı +ð ©½ +𩽠¾ +å¤ IJ +çį į +é£ Ĺ +𬸠ļ +åĩ ĺ +å» ij +å» Ļ +çĺ Ĺ +çĺ ¥ +çĺ ķ +é² Ŀ +éĦ « +çĨ ĩ +æ¼ ¹ +æ¼ ĸ +æ½ Ĩ +æ¼ ¤ +æ½ © +æ¼ ¼ +æ¼ ´ +ã ½ +ã½ ı +æ¼ Ī +æ¼ ĭ +æ¼ » +æħ ¬ +çª ¬ +çª Ń +ã ® +ã® ¾ +𬤠Ŀ +è¤ ķ +ç¦ Ľ +ç¦ ļ +éļ © +å« ķ +å« Ń +å« ľ +å« ª +ð¬ ĻĤ +ã » +ã» ¬ +éº ¹ +çĴ Ĩ +æ¼ ¦ +åı ĩ +å¢ £ +å¢ ¦ +å¢ ¡ +åĬ IJ +èĸ ģ +èķ ° +èĶ ĥ +é¼ Ĵ +æ§ ± +é¹ Ŀ +ç£ ı +ç£ ī +æ® £ +æħ Ń +éľ ħ +æļ µ +æļ ² +æļ ¶ +è¸ ¦ +è¸ £ +äĹ ĸ +èĿ ĺ +èĿ ² +èĿ ¤ +åĻ ĩ +å ĻĤ +åĻ Ģ +ç½ ¶ +å¶ ² +å¶ ĵ +ãł ĩ +å¶ Ł +å¶ Ĵ +éķ Ĩ +éķ Ī +éķ ĭ +éķ İ +ð¬Ń © +éķ ķ +ç¨ ¹ +åĦ ĩ +çļ ŀ +çļ Ľ +ä´ ĺ +èī İ +èī ı +é¹ Ł +𩾠ĥ +é² ¦ +é² ª +é² ¬ +æ© ¥ +è§ Ń +é¹ ł +é¹ ¡ +ç³ ĩ +ç³ Ī +ç¿ ¦ +é¹ ¢ +é¹ £ +çĨ Ľ +æ½ ĸ +æ½ µ +ã µ +ãµ IJ +æ¾ Ĥ +æ¾ Ľ +çij ¬ +æ½ ½ +æ½ ¾ +æ½ ı +æĨ Ń +æĨ ķ +𬸠£ +æĪ Ń +è¤ ¯ +ç¦ ¤ +ð«į ½ +å« ½ +éģ ¹ +𬴠Ĭ +çĴ ¥ +çĴ ² +çĴ Ĵ +æĨ Ļ +æĵ IJ +éĦ ¹ +èĸ ³ +éŀ Ķ +é» ĩ +ð¬ ŀ +ð¬ŀ Ł +èķ Ĺ +èĸ ¢ +èķ ¹ +æ© ŀ +æ© ij +æ© ¦ +éĨ ij +è§ ± +ç£ ¡ +ð¥ ķ +ð¥ķ ¢ +ç£ ľ +è± ® +ð«Ł ¦ +𬺠Ī +ð«ł ľ +é¹ ¾ +èĻ ¤ +æļ ¿ +æĽ Į +æĽ Ī +㬠ļ +è¹ ħ +è¸ ¶ +äĹ Ľ +èŀ Ĺ +çĸ ģ +ãł ĵ +å¹ ª +𪠩 +𪩠ĺ +å¶ ¦ +ð¬Ń ¬ +𨱠ij +ð¬Ń ¯ +é¦ ŀ +ç© Ħ +ç¯ ļ +ç¯ ¯ +ç° ī +é¼ ½ +è¡ ł +çĽ ¦ +èŀ £ +ç¸ ¢ +é² Ń +é² ¯ +é² ° +é² º +é² ¹ +ð«Ĺ ´ +äº ¸ +çĻ Ģ +çĺ Ń +𬸠¦ +ç¾ ± +ç³ Ĵ +çĩ ĭ +çĨ » +çĩ Ĭ +çĩ ļ +çĩ ı +æ¿ © +æ¿ ĭ +æ¾ ª +æ¾ ½ +æ¾ ´ +æ¾ Ń +æ¾ ¼ +æĨ · +æĨ º +æĩ Ķ +é» ī +å¬ Ľ +é¹ ¨ +ç¿ ¯ +ð«Ħ · +çĴ ± +𤠩½ +çĴ ¬ +çĴ ® +é« ½ +æĵ ¿ +èĸ ¿ +èĸ ¸ +æª ij +æ« Ĩ +æª ŀ +éĨ ¨ +ç ¹Ħ +ç£ ¹ +ç£ » +çŀ « +çŀ µ +è¹ IJ +èŁ ı +ã ĺ +ãĺ İ +ð¬Ń ³ +éķ ¤ +ð¬Ń ¶ +ð«Ķ į +éķ ¥ +éķ ¨ +ð¬Ń ¸ +𨱠Ķ +ð¬Ń ¼ +ð«Ķ İ +çŁ ° +ç© Ļ +ç© ľ +ç© Ł +ç° ķ +ç° ĥ +ç° ı +åĦ ¦ +éŃ ĭ +æĸ ¶ +èī ļ +𬸠ª +è° ¿ +ä² ł +𬶠Ł +é² ¾ +𬶠ł +é² ¿ +é³ ģ +é³ Ĥ +é³ Ī +é³ ī +çį ¯ +äĹ ª +é¦ ĺ +è¥ ķ +è¥ ļ +𬶠¨ +èŀ ± +çĶ ĵ +å¬ ¬ +å¬ ¥ +ð¦ Ī +ð¦Ī ¡ +ð«Ħ ¸ +çĵ Ģ +éĩ IJ +é¬ ¶ +çĪ ĩ +éŀ ³ +éŀ ® +ð¬Ł ģ +èĹ Ł +èĹ ¦ +èĹ ¨ +é¹ ² +æª « +é» ¡ +ç¤ ŀ +ç¤ Į +ð¥ ĸ +ð¥ĸ ¨ +è¹ ¢ +è¹ ľ +èŁ « +äĹ ´ +åļ ļ +é« ĥ +éķ ® +éķ ± +éħ Ĥ +é¦ § +ç° ł +ç° Ŀ +ç° ° +é¼ « +é¼ © +çļ ¦ +èĩ ij +ä² ¢ +é³ ij +é³ Ĵ +é¹ ± +é¹ ¯ +çĻ Ĺ +ð¦ Ĵ +ð¦Ĵ į +æĹ ŀ +ç¿ · +åĨ ģ +äİ ĸ +çĢ Ķ +çĢ į +çĢ Į +è¥ ľ +ä´ Ļ +ð¬Ļ Ĭ +åļ Ń +ã ° +ã° Ģ +é¬ · +éĨ Ń +è¹ ¯ +èł ĭ +ç¿ ¾ +é³ ĺ +åĦ ³ +åĦ ´ +é¼ Ĺ +ð¬¶ Ń +𩾠Į +é³ ļ +é³ Ľ +éº ij +éº ĸ +èł ĥ +å½ Ł +å¬ ¿ +é¬ Ĵ +èĺ ĺ +æ¬ Ĥ +é Ĩµ +é¢ ¥ +çĶ Ĺ +ð¨ Ł +ð¨Ł ł +å· ĩ +éħ ħ +é« İ +çĬ ¨ +𬶠® +ð¨ Ń +ð¨Ń ī +㸠Į +çĪ Ķ +çĢ ± +çĢ ¹ +çĢ ¼ +çĢ µ +è¥ « +åŃ ħ +éª ¦ +ð¬Ļ ĭ +èĢ ° +𤠫 +𤫠ī +çĵ ĸ +é¬ ĺ +è¶ ¯ +𬺠ĵ +ç½ į +é¼ ± +é³ ł +é³ ¡ +é³ £ +çĪ Ł +çĪ ļ +çģ Ī +éŁ Ĥ +ç³ µ +èĺ ¼ +ç¤ µ +é¹ ´ +èº Ķ +çļ Ń +é¾ ¢ +é³ ¤ +äº ¹ +ç± ¥ +é¼ · +ð«ļ Ń +çİ ĥ +éĨ ¾ +é½ ĩ +è§ ¿ +èł ¼ +× § +× ¤ +× Ľ +×ķ× ª +× ¡ +×Ļ× Ŀ +× ¦ +× Ĵ +× ĺ +×ķ× ¨ +× Ŀ +×ķ× ľ +× ĸ +๠Ĥ +ï º +ðŁ į +ðŁ IJ +×Ļ× ¨ +ï » +ðŁ ij +ðĿ IJ +ðŁ ı +ðŁ Ķ +ðŁ Į +ðŁ İ +ðŁ ĵ +× Ł +ðĿ ij +×ķ× ĵ +ï ¦ +Ġ× ķ +×ķ× ij +à¸Ń à¸ĩ +ðĿ ĺ +×Ļ× ª +ðĿ ķ +à¸Ĺ ีà¹Ī +Ø§Ø ¦ +ðŁ ¤ +×ķ× Ł +ر ÙĬ +×Ļ× ľ +ร ะ +า ย +ï ¯ +ï ® +า ม +â ĩ +ðŁ ¥ +ï Ń +ðĿ Ļ +×ķ× ł +á ½ +Ġ× Ľ +ðŁ ļ +â ļ +ï § +×ij ר +×Ļ× ł +á ´ +Ġ× Ĺ +á ¼ +ðĿ Ĺ +Ġ× ¢ +×Ļ× Ķ +ãģ£ ãģŁ +ãģĵ ãģ¨ +á ¸ +ÙĬ ÙĨ +ãģª ãģĦ +ا ع +ภ¨ +à¹Ī à¸ĩ +×Ļ× ĵ +×ŀ ש +á Ī +׳ ×Ļ +×Ļ× ij +ï ¥ +ðĿ ĵ +Ġ× Ļ +× ļ +ั à¸ĩ +â ĵ +ï ¤ +ĠاÙĦ Ø£ +า à¸ģ +à¹ī à¸Ļ +à¹Ģ ร +×ķ× Ŀ +á ¹ +ภ¶ +×Ļ× § +ภĭ +à¸Ħ ร +ภĺ +ั à¸ģ +ðŁ ķ +ÙĪ ÙĨ +à¸Ń ย +â Ĭ +ðĿ Ĵ +ĠاÙĦ ع +า à¸Ļ +×Ļ× Ł +ÙĦ ÙĬ +×Ļ× © +à¸Ľ ระ +à¹Ģ à¸Ľ +Ġ× ł +×ķ× ¡ +ภł +Ùħ ÙĨ +×ķ× ¢ +×ķ× ŀ +â Į +ðŁ § +à¹ĩ à¸Ļ +ภį +ã İ +á µ +ĠاÙĦ س +×ķ× § +ห ล +ðŁ ĩ +â ı +ðŁ ¦ +Ġ×Ķ ×ŀ +ÙĪ ا +Ġ× ª +ר ×IJ +à¸Ń à¸Ļ +ภ© +à¹Ī ว +×ķ× ¦ +í Ĺ +ã Ħ +ï ¨ +ï ¹ +â İ +ï ² +ðĿ ļ +ð IJ +à¸Ħ ว +ห à¸Ļ +Ġ× ¨ +ب ÙĬ +ร à¹Į +ر ا +Ø´ ر +×ķ× Ĺ +×ķ× ¤ +×ķ× © +×ķ× Ĵ +í Ŀ +â Ľ +à¸ķ ิ +à¹Ģ à¸ģ +ï ³ +ï ± +à¸Ķ à¹ī +ë ¹ +ï ¬ +á ¿ +ðŁ Ľ +ðĿ ĸ +à¹Īา à¸ĩ +ู à¹ī +Ġ×Ķ ×IJ +ĠاÙĦ ØŃ +פ ר +ÙĪ Ùħ +à¹Ģ ล +í ĸ +×Ļ× ¢ +ì Ī +í ĵ +ðŁ ħ +á ł +à¸Ħว าม +à¸Ī ะ +׳ ×Ķ +Ġ× § +ภŁ +à¹ī à¸ĩ +ห ม +ت Ùħ +׾ ×Ļ +ÙĬ د +à¹Ī à¸Ļ +׊ר +ש ר +à¹Ģ à¸Ĺ +×ŀ ר +ë ĸ +ع ÙĦ +×ŀ ×¢ +â ² +׾ ×Ķ +Ġ× ¤ +à¸Ń à¸ģ +س ÙĦ +×Ļ× ŀ +ÙĤ ÙĬ +í İ +ت ØŃ +×Ļ× ¡ +×Ļ× Ĺ +í Ľ +ï ° +â ½ +á ī +á Ĭ +á ¨ +Ùĩ ا +Ġ׾ ×Ķ +×ķ× IJ +Ùħ ا +à¹īà¸Ń à¸ĩ +ر ب +ĠاÙĦ ج +×ŀ ×ĵ +Ùħ ÙĦ +ت ر +à¹Ģ à¸Ķ +ק ר +í ħ +ì ¼ +ê ¿ +ã Ī +á IJ +ðŁ Ĺ +ê ¦ +á ĭ +ðĿ Ķ +à¹Ģà¸Ľ à¹ĩà¸Ļ +à¹ĥ ห +ม า +ว à¹Īา +ม ี +ี à¹ī +à¹Ħม à¹Ī +ÙĨ ÙĬ +Ø ¤ +ร า +×ķ ×Ļ +ãĤĪ ãģĨ +ิ à¸Ķ +×Ļ× ¤ +׊׾ +ÙĤ د +à¹Ģ ส +×Ļ× ĺ +à¸ģ ล +ר ׼ +×ķ× Ľ +×Ļ× Ľ +ë Ī +ë ĥ +ðŁ ĸ +á ħ +â ¼ +ã ī +à¹Ħ à¸Ķà¹ī +ת ×Ļ +×Ļ× IJ +ĠاÙĦ Ø¥ +à¸ł า +ร ิ +ÙĤ Ø© +ØŃ Ø¯ +ê » +ì ± +ת ×Ĺ +ì º +â ĭ +á Ħ +á ¾ +â µ +â ¾ +ĠÙĪ اÙĦ +׳ ×ķ +Ù Ģ +ÙĬ ا +à¸ģ à¹ĩ +×ŀ ×Ķ +ãģĦ ãĤĭ +ع د +ĠاÙĦ ÙĨ +Ġ×Ķ ש +Ø ¦ +ั à¹īà¸ĩ +ร ัà¸ļ +ÙĪ ÙĤ +ãģ§ ãģį +à¹Ģ à¸ŀ +׼ ׾ +×ĺ ר +ั à¸Ķ +à¸Ń า +ì ¢ +à¸Ń à¸ļ +à¸ķ ร +à¹Ģ à¸Ĭ +ì Ķ +ãģĹ ãģ¾ +ë ģ +ë ķ +ðŁ Ļ +â Ĵ +á ¶ +à¹ģ ล +ÙĨ ا +à¹ĥห à¹ī +à¹Ħ à¸Ľ +× £ +ั ว +า à¸ĩ +×ĵ ר +×ij ׾ +פ ×Ļ +Ġ× ĵ +ĠاÙĦ Ùģ +à¹Ģ à¸Ĥ +ש ×Ķ +×IJ ר +ë ¬ +ãģ« ãģª +ÑĢ о +ว ิ +Ùħ ر +×IJ ת +Ùĥ ر +س ب +ÙĨ ت +ãģĹ ãģĦ +ا ج +à¸Ń รà¹Į +Ùĥ ÙĦ +س Ùħ +ส ิ +×Ļ× ¦ +ë Ŀ +í ľ +ì ī +á Ĩ +Ùĩ Ùħ +à¸Ļ ีà¹ī +ãģĤ ãĤĭ +ãģĦ ãģ¦ +س ÙĬ +׾ ×IJ +د ر +ãģ ļ +ÙĪ ج +ĠاÙĦ Ø® +ص ر +í ı +à¹īา à¸ĩ +ุ à¸Ķ +×ķ× ĺ +×ij ×¢ +í Ĩ +à¸Ĭ า +ร ม +ש ×ŀ +×ŀ ס +ê ´ +ì ´ +ë ľ +ì ¿ +ì © +ë » +â ¤ +ðŁ Ĩ +á Į +á ķ +Ø° ا +à¸Ĺ ำ +à¸ķ à¹Ī +ĠاÙĦ ÙĤ +ÙĦ Ùĥ +ู à¹Ī +à¸Ħ ุ +ÙĬ Ùħ +׳ ×Ļ×Ŀ +ืà¹Ī à¸Ń +ÙĪ ع +ãĤ ĩ +ا ÙĤ +Ġ×ij ×¢ +à¹Ģ ม +ج Ùħ +á» « +ãģĵãģ¨ ãģĮ +ب د +×ķ× Ķ +ש ׾ +Ùĩ ر +à¹Ģ à¸Ļ +ãģ ¹ +í ĭ +ì » +ì ½ +ë Ń +ì Į +í Ģ +ë Į +ë º +ã Ĭ +à¹ĥ à¸Ļ +Ġ× Ĵ +๠Ĩ +à¸Ī าà¸ģ +ว ย +à¹ĥ à¸Ĭ +à¸ĩ าà¸Ļ +ĠاÙĦ Ø´ +ا ØŃ +à¹īา à¸Ļ +ืà¹Ī à¸Ńà¸ĩ +×IJ ×Ļ +ب ÙĦ +ãģ¨ æĢĿ +׳ ס +ãģ¾ ãģĽ +Ùĥ ÙĨ +×¢ ר +ĠاÙĦ د +ש ת +í ŀ +Ùħ س +ص ÙĦ +×ķ׳ ×Ķ +ار Ø© +ÙĦ Ùħ +ส ม +Ø£ ÙĨ +ת ר +×IJ ×ŀ +ع ب +Ø® ت +ãĤ ĥ +ì ¡ +ì £ +ив а +ส ั +ึ à¸ģ +ì ¸ +ë Ĩ +алÑĮ н +ì ³ +ì į +ê ¼ +ê ½ +ì ı +ã Į +ã ı +ï © +ê ª +á İ +Ġ× ĸ +à¸ģ ัà¸Ļ +×Ļ ×ķ +à¸Ħ à¸Ļ +׳ ×ķת +à¸ľ ูà¹ī +à¹ĥ à¸Ī +ãģĦ ãģŁ +Ùģ ر +×ĺ ×Ļ +צ ×Ļ +ãĤĤ ãģ® +ĠاÙĦ ص +ãģ¾ãģĽ ãĤĵ +د Ø© +×ij ×Ļ +ĠاÙĦ ر +Ġ×ŀ ×IJ +ส ำ +à¹Ģ ห +ع ر +ãģª ãģı +à¸ģร ะ +×ij ×ĵ +à¹Ģ à¸Ī +×Ļ× ļ +×Ĺ ×Ļ +ÙĬ ع +ש ×ij +ÙĨ Ø© +ÙĪ ض +ÙĦ Ùģ +ÙĢ ÙĢ +פ ×¢ +í Ī +×ŀ ק +ภIJ +ØŃ Ø© +ا ص +Ñĭв а +à¸Ħ ม +ว ั +à¸Ľ ล +ì Ł +í ļ +ë ´ +ë ij +ë ī +ë ĩ +ì ¨ +ë ± +ë İ +â ¬ +á ¥ +á Ĺ +á Ľ +á į +Å © +à¸Ķ ี +ô i +Ġ× ¡ +׾ ×ķ +á»Ŀ i +à¸Ħุ à¸ĵ +â y +à¸Ļ า +×Ĺ ×ĵ +×ĵ ×Ļ +ห า +ج ÙĦ +à¹Ģ ว +ãĤĩ ãģĨ +Ùħ Ø© +ĠاÙĦ Ùĥ +Ġ×Ķ ×¢ +ج ر +×ĸ ר +ا Ø· +׼ ת +×ķ׳ ×Ļ×Ŀ +ØŃ Ùħ +ê ¶ +ر Ùĥ +Ġ׾ ×¢ +×ķ× ĸ +ส ร +צ ׾ +Ø ¢ +ا ست +à¹Ī ม +Ø® ر +צ ×¢ +×Ļר ×ķת +اد Ø© +Ø´ ار +×ŀ ×Ĺ +í Ĵ +à¹Ģร ีย +׊ק +Ø§Ø « +ร à¸ĩ +à¹Ģ à¸ķ +à¸Ī ำ +ภĿ +à¹Īา ย +à¸Ħ ล +ÙĤ ÙĪ +иÑĩеÑģ к +à¸ĵ à¹Į +ั ย +Ùħ ع +ë ¨ +ë ¿ +ë ® +ï ´ +ì ¥ +ì « +ë µ +á ¡ +â į +ð ĵ +â ° +à¸Ĥ à¸Ńà¸ĩ +Ù ĭ +à¸ģ ัà¸ļ +ãģ® ãģ§ +à¹ī ว +à¸Ńย à¹Īาà¸ĩ +ãģ Ń +á»ĩ t +à¸ķ à¹īà¸Ńà¸ĩ +×ŀ ×Ļ +à¹ģ à¸ļ +×Ĵ ר +ÙĪ Ùģ +ÙĤ ÙĦ +à¸łà¸² à¸ŀ +ר ×Ļ +ล า +ÙĬ س +Ġ× ¦ +ÙĬ Ùģ +Ġ× ĺ +à¸ľ ล +á ng +ร ว +Ġ×ŀ ש +×IJ ×ķת +×ĸ ×Ķ +ู à¸ģ +à¸Ļ ัà¸ģ +اÙĨ ÙĬ +د ا +ãģ ³ +׼ ף +ãĤī ãĤĮ +ãĤĮ ãģ° +ת ק +ú c +ÙĪ ز +×Ļר ×Ķ +Ġn gh +án h +Ġ×ķ ×IJ +á» ħ +ส ุà¸Ķ +ë į° +ا ض +اÙĦ ÙĬ +ب ار +ع Ùħ +à¸ļ า +ت ج +à¸ŀ ร +×ķר ×Ķ +ả ng +Ø® ÙĦ +ภī +ắ c +ש ×Ļ×Ŀ +í Ķ +Ùģ س +×Ļ× Ĵ +п ÑĢ +ĠاÙĦ Ø« +س Ø· +ร ูà¹ī +ีà¹Ī ย +à¸Ń à¸Ķ +ãģª ãĤĬ +×Ĵ ×ĵ +ãģĦ ãģ¾ãģĹãģŁ +ס ק +Ø® ص +la ÅŁ +ен но +ب ØŃ +ส à¸Ļ +ภ® +ר×IJ ש +Ùħ ÙĪ +دÙĬ د +ษ า +×ķ× ļ +ãĥ§ ãĥ³ +à¸ķ ุ +Ġê µ +ĠÑģв о +צ ×ij +à¸Ń ม +à¸Ľ ร +ت ع +×Ķ ת +اÙħ ÙĦ +×ŀ ׳ +ç ¶ļ +ภ¤ +í į +ë ĺ +ë ¤ +ì ij +â ´ +ã ĭ +Ġب اÙĦ +á»ģ u +ĠاÙĦ ÙĦ +à¸ķ ัว +Ø° Ùĩ +ึ à¸ĩ +à¹ĥà¸Ĭ à¹ī +á»ĵ ng +à¸Ļ ั +ม าà¸ģ +ãĥ Ł +×ŀ ×ķ +à¸Ĺ ย +á»Ļ i +Ạ± +ả o +à¹Ĥ à¸Ķ +×IJ ׾ +ส าม +ÙĪ ب +à¸Ĺ ุ +ย ัà¸ĩ +×¢ ת +×ķ׳ ×ķת +à¸Ĥ ึ +à¸Ĥึ à¹īà¸Ļ +à¸ģ à¹Ī +Ạ« +á»ij c +ãģĹ ãĤĩãģĨ +á»ĭ ch +Ġ×IJ ×ķת +Ġש ×IJ +׼ ×ķ׾ +á»Ļ c +ع Ø© +à¸Ĺ ี +à¹Ģ à¸Ń +Ùĥ ت +ãģ » +Ạ» +ìĹ ħ +à¸Ń à¸Ńà¸ģ +اÙĨ ت +à¹Ħ ร +Ġ×IJ ×Ĺר +Ø· ر +ÙĨ د +ื à¹īà¸Ń +Ø· ÙĦ +×IJ ×Ķ +uy ên +í ĸī +×ij ×Ķ +à¸Ħ à¹Ī +à¸Ĭ à¹Īว +ãģĤãĤĬ ãģ¾ãģĻ +ÙĬ ب +ק ׾ +ãĥ Ļ +Ä © +س ر +า ว +ãĤ ± +à¸ļ ริ +ר ×Ĵ +á»ĥ u +ØŃ Øª +×ķ×ŀ ×Ļ +ب ÙĨ +êµ IJ +ÄŁ u +ãģª ãĤĵ +×ij ק +Ġפ ר +ắ n +ØŃ ÙĦ +×ij ×Ĺ +ấ u +×ij ×ķ×ĵ +ãĥ ¯ +Ġ׾ ק +ั à¸į +à¸ŀ ิ +×Ĺ ×Ķ +×ĸ ׼ +ãĥ¼ãĥ ł +ÑĤ елÑĮ +×ŀ ×Ļ×ĵ +ÙĬ Ø® +Ạ³ +ت ص +à¸ĺ ิ +è¾ ¼ +ì ĵ +Ùĥ Ø© +ÙĤ ب +à¸Ħ à¹Į +à¹īา ย +à¸ĵ ะ +า ะ +ë Ĵ +ê ¾ +ë · +ì ĩ +ê º +ì ģ +ë Ģ +ì ¾ +ë ½ +ë ļ +ì Ń +ì İ +á ij +ë Ĺ +ê Ĵ +à ¡ +à ¬ +ðIJ Į +ã ĩ +ðĿ Ħ +Ġ׾ ×IJ +ãģ¨ ãģĦãģĨ +Ġn hi +×Ļ ×ķת +Ġש ×Ķ +à¹ģล à¹īว +Æ°á»Ľ c +à¸Ķà¹ī วย +à¸Ĺ าà¸ĩ +׳ ת +פ ת +à¹ģ à¸ķà¹Ī +Æ° ng +à¸Ńย ูà¹Ī +à¹ī ำ +Ġ×IJ ׾ +Ùĥ Ùħ +ấ p +ล à¸ĩ +ãģŁ ãĤģ +×Ĵ ׾ +ห ร +ĠÑĢ е +à¹Ģà¸Ĥ à¹īา +ÙĤ ر +Ġ×Ķ ס +ÙĪ ÙĬ +สาม าร +สามาร à¸ĸ +Äĥ n +à¸Ń ี +פ ×ķ +×Ļ׳ ×ķ +ว ัà¸Ļ +ặ c +íķ Ļ +×ŀ ת +ê u +Ạ¹ +Ùģ ÙĬ +×ŀ צ +à¸Ħ า +ãģĿ ãģĨ +ãĢ ħ +ا ز +ا Ùĩ +ר ×Ļ×Ŀ +ấ n +ห าร +ạ t +ÙĨ Ùĩ +à¹Ģ à¸Ħร +ج Ùĩ +׼ ×Ļ +ắ t +à¸Ħ à¹īา +ر Ø© +ãĥ ı +Ùĥ ÙĪÙĨ +ứ ng +Ġìļ ° +ย à¹Į +à¹Īว à¸Ļ +à¸ģ ำ +Ø« ر +Ñģ и +ĠاÙĦ Ø· +Ġ×Ķ צ +ĠØ · +ĠاÙĦ ÙĪ +ê¹ Į +ØŃ ÙĬ +ار ات +à¹Ģ à¸ĭ +ب ا +г ÑĢ +ร ี +ืà¸Ń à¸Ļ +ع ت +ÙĤ اÙĦ +د Ùħ +Ø ¡ +Ġ×ŀ ק +×ĵ ×Ļ×Ŀ +×¢ ׾ +ãģ Ĵ +ëĭ ĺ +×¢ ×Ķ +Ġìĸ ´ +Ñģ ÑĮ +ÙĤ Ø· +ãĥ Ľ +èĢĥ ãģĪ +à¹ģ à¸Ļ +ÙĪ ات +â u +ĠìĤ¬ ëŀ +ห ว +ĠاÙĦØ£ Ùħ +Ġ×Ķ ×ŀש +ب ÙĪ +à¸Ĭ à¸Ļ +ãĤĵ ãģ§ãģĻ +ว à¸Ļ +à¸ģร รม +×ŀ ×ķ×ĵ +Ùĥ اÙĨ +×ķ× £ +ол ог +ت ÙĨ +à¸ķ à¹Į +ê² ĥ +ר ×ĺ +ừ ng +×ķ×ij ×Ķ +Ùħ ØŃ +ĠÐ § +פ ×Ĵ +ส à¸ĸ +ãģĭ ãĤĬ +ını z +à¹Ģ ย +ãĥ¼ ãĥ³ +ãģĬ ãĤĬ +פ ש +ิ à¸ķ +Ø· ÙĨ +×Ļת ×Ļ +×IJ ׳ +ç ek +ì ª +×ŀ ×ij +ศ า +ãĤ¹ ãĤ¿ +à¸ļ ุ +×ĵ ×ijר +ãģĦ ãģı +ส ะ +à¹Ģ หล +ิ à¸ĩ +à¸ŀ ัà¸Ļ +ãģĦ ãģŁãģł +ãĤĤ ãĤī +à¹ī ม +ãģĵãģ¨ãģĮ ãģ§ãģį +าร à¹Į +ุ à¸ĩ +í ij +ì ¯ +ë ¼ +í Ĥ +ì · +ê ¡ +á ı +á Ĵ +ðĿ ľ +á © +ðŁ Ħ +ðIJ ¤ +Ġש ׾ +Ġ×ŀ ×Ķ +à¹ģล ะ +Ġ׼ ׾ +Ạ½ +á»Ļ ng +Ø° ÙĬ +л е +× ¥ +ãģª ãģ© +ĠÙĪ Ø£ +หà¸Ļ à¹īา +ãģ¾ ãģ§ +à¸ķà¹Ī à¸Ń +à¸Ĺ ัà¹īà¸ĩ +ãģł ãģij +à¹ģà¸ļ à¸ļ +à¹Ģร า +פ ׾ +ãģŁ ãģĦ +à¹Ģล ย +ãģ£ãģ¦ ãģĦãĤĭ +ế p +ึ à¹Īà¸ĩ +ê ´Ģ +ê³ Ħ +׼ ×ķ +à¹Ģร ืà¹Īà¸Ńà¸ĩ +ק ×Ļ +êµ Ń +פ ס +ت ÙĬ +ãĥ Ħ +Ġ×Ķ ×Ĺ +г и +ר×IJ ׾ +×ŀ ׾ +ĠØ£ ÙĬ +Ġع ÙĦÙĬ +ãģĭ ãģ£ãģŁ +ש ×Ļ +д Ñĥ +×ŀ ף +׳ ×ĺ +׳ ×Ļת +mi ÅŁ +׼ ×Ŀ +Ġ×ij ר +Ġ׾ ×ij +ĠÐ Ľ +ç e +×ķ׳ ×Ļ +ãĤĪãģĨ ãģ« +פ ×ķר +ãĥ į +Ùĥ ÙĬ +×Ĺ ×ª +Ùģ ÙĦ +Ġ×Ķ ק +Ġ×Ķ ×ij +Ġ×ŀ ס +à¹Īา à¸Ļ +п еÑĢ +à¹Īา ว +Ġ×ij ×IJ +ĠÙĪ Ùĩ +à¸Ļ ำ +Ġ×ij ש +׳ ק +ãģ© ãģĨ +ש ×ķת +×ĵ ×Ķ +à¹Ģ à¸ļ +ÙĨ س +Ġìļ° 리 +ส à¹Īวà¸Ļ +ล ัà¸ĩ +ج ز +Ġ×Ĺ ×Ļ +Ùĥ ثر +ล ะ +Ùĩ د +ĠÙĪ ب +اÙĦ Ùħ +à¹ģ ม +Æ¡ i +Ġ×ij ×Ĺ +ữ a +à¹Ģà¸Ĺ ศ +à¸ķ ัà¹īà¸ĩ +ог да +׾ ק +د د +สร à¹īาà¸ĩ +à¸Ĭ ี +Ùģ ض +à¹ģ ห +uy á»ĩn +ร ัà¸ģ +á»ĩ m +ส า +פ ק +ีย à¸ĩ +à¸ķ à¹Īาà¸ĩ +à¸Ħร ัà¹īà¸ĩ +ØŃ ÙĤ +à¹Ģ à¸Ńà¸ĩ +ائ ÙĬ +×ĺ ×¢ +اÙĦ Ø© +ิ à¹Īม +ãĤ ½ +د Ùī +Ġר ×IJ +ãģ£ ãģ¨ +ãĥĥ ãĥĹ +ÙĬر Ø© +ê± ´ +×ŀ ×IJ +×ķ ×ķ +ب ع +ãģ ² +ร าย +×ĵ ×Ŀ +ت Ùģ +à¸ķ à¸ģ +ạ ng +ãĤĴ è¦ĭ +à¸Ĭ ั +Æ°á» Ł +Æ°á»Ł ng +ج ب +×ķ×ŀ ר +ĠìĤ¬ëŀ Į +ó ng +ร ั +Ġ×Ķ ×ĸ +ר צ +Ġ×Ĺ ×ĵ +Ø° ÙĦÙĥ +×ķר ×Ļ +ãģ¡ ãĤĥ +Ùģ ع +Ġ׾ צ +á i +à¹ĩ à¸ļ +ãģ İ +à¸ģ ิ +ạ c +ë© ° +ãģª ãĤĭ +×ķ׾ ×Ŀ +à¹ģ à¸Ĺ +×ķ× ¥ +м еÑĤ +ü ÅŁ +ÑĢ Ñı +ภĴ +ÑģÑĤ оÑı +ع ÙĪد +Ùħ ار +Ø· Ø© +à¸ŀ ื +к ÑĢ +à¹ģ à¸ģ +à¹Ĥ รà¸ĩ +×ij ×Ļ×ĺ +ê² ł +×ķ׾ ×Ķ +ØŃ Ø± +ืà¹Ī à¸Ńà¸Ļ +×ķ×ij ר +׊ש +ãĥķãĤ ¡ +×ŀ ×ĺ +ú t +Ġd ön +ắ ng +ëł ĩ +ẳ ng +ว à¸ģ +ص د +Ø® Ø· +à¸Ń ั +ãĤı ãĤĮ +سÙĦ اÙħ +à¹Ģร à¹ĩ +×Ļש ×Ļ +ج اÙĦ +ãģij ãĤĭ +à¸Ĭา à¸ķิ +ÙĪا ÙĤ +à¹Ĥ à¸Ļ +ãģ¦ ãģĹãģ¾ +اع Ø© +ãĤŃ ãĥ£ +à¸į า +ÙĦا ÙĤ +ิ à¸ģ +ĠÑģ ов +ÑĢаРº +×Ļ׳ ×Ļ +ü ÄŁ +Ã¼ÄŁ ü +ק ×ij +à¹Ī à¸Ńà¸ĩ +Ġger çek +à¸Ĺ ั +ов аниÑı +×ŀ ׼ +س Ø© +×Ļ× £ +le ÅŁ +Ùħ ؤ +ĠìĿ ĺ +à¸IJ าà¸Ļ +ĠÑģ об +Ġêµ Ń +×¢ צ +з в +ส à¸ĩ +ز ÙĦ +ãģı ãĤĮ +и ÑĢÑĥ +ت Ø£ +п олн +ìĺ Ģ +ÙĨ Ø´ +׼ ×IJ +Ùħ Ø´ +à¸Ķ à¹Į +ÙĪ ÙĬÙĦ +à¹ģ à¸Ĥ +ãģ£ãģ¦ ãģĹãģ¾ +но ÑģÑĤ +в л +Ùħ ÙĤ +را ج +å¤ ī +ë Ľ +â ¸ +ì IJ +à » +á ļ +â » +ê Ļ +â § +ð Ĵ +ðĿ ĩ +Ġ×IJ ת +ĠÙĦ ÙĦ +ĠØ£ ÙĨ +Ġ×ķ ×Ķ +ãģ« ãģ¯ +Ġ×Ļ ש +ت Ùĩ +ÃŃ nh +ÙĬ ات +Ġ×ij ×ŀ +à¸Ļั à¹īà¸Ļ +à¸Ļ à¹īำ +Ãł o +à¸ķ าม +ãģ® ãģ¯ +d ır +Ġn ghi +ặ t +×ŀ ×Ļ×Ŀ +ãģ¦ ãģĦãĤĭ +Ġ×ij ת +หร ืà¸Ń +Ġس ÙĬ +ãģª ãĤī +à¹Ĥà¸Ķ ย +ı yor +à¸Ńี à¸ģ +á»ĩ nh +Ñĭ м +à¸Ĺุ à¸ģ +Ġ׾ ×Ĺ +Ġ×Ķ ר +Ġ×Ķ ×Ļ +à¸ŀ ระ +à¹Ģว ลา +ĠØ º +ẫ n +m Ä±ÅŁ +׼ ×Ķ +á»ij n +ãģ§ ãģĹãĤĩãģĨ +ãĥ ¢ +à¸Ľ ี +ס ×Ļ +ãģĵ ãĤį +Ġ׾ פ +ร à¸ĸ +ê¸ Ī +à¸ģ วà¹Īา +ë ¬´ +á»į ng +ãĤĵ ãģ§ +ãĤĪãģĨ ãģª +á»ĵ i +ãĤ ¬ +ส à¹Īà¸ĩ +×Ļ׳ ×Ķ +à¸ĸ ูà¸ģ +à¸Ī ัà¸Ķ +Ġ×Ķ ×Ĵ +ãĥ ľ +×ŀ ×ķת +ÙĪ Ùĥ +ëĭ ¨ +ĠØ « +ãģ® ãģĮ +à¹Ģห à¹ĩà¸Ļ +ع ا +à¸Ļ ิ +Å ŀ +à¸Ń ะ +ãģĪ ãĤĭ +Ø« ÙĦ +ØŃÙħ د +à¹Ģà¸ģ ิà¸Ķ +פ שר +פ ×Ķ +ม ิ +ئ ÙĬس +à¸Ĺำ à¹ĥหà¹ī +×¢ ×ĵ +ìĭ ¤ +à¸Ĭà¹Īว ย +ĠاÙĦÙħ ÙĨ +ز ÙĬ +ع ÙĬ +Ġ׼ ×IJ +ạ nh +á» ¹ +ãĤĵ ãģª +ส ู +צ ר +Æ°á»Ľ ng +×ķ ×ķ×Ķ +à¹Ĥ ล +ĠاÙĦ Ùĩ +ว า +หล าย +Ñī е +à¸Ĥ à¹īà¸Ń +à¹īà¸Ń ย +ب Ø· +ка Ñı +ĠØ ¢ +Ġи Ñģ +ĠاÙĦ غ +à¸ģ า +à¸Ļ à¹Īา +ÙĬ ÙĪ +×ij ×ķר +á»ħ n +ว à¸ĩ +×Ļ× ĸ +ì² Ń +н им +ëŁ ° +×Ĵ ×ķר +ص ØŃ +ÙĦ ÙĪ +×Ĺ ×ķת +ส ุ +رÙĬ ÙĤ +ס ×ĺ +Ġ×ŀ ×¢ +ãĥĨ ãĤ£ +à¸Ħ ิà¸Ķ +ãĤį ãģĨ +à¹Ħ ล +à¸Ļ à¹Į +á»ı i +ÑģÑĤÑĢ о +ส à¸Ķ +ส าร +ÙĪÙĦ Ø© +ầ m +ร à¹Īว +รà¹Īว ม +ร ุ +ĠاÙĦس ÙĬ +ìĺ ģ +Ġ×ŀ ×ij +פ ×ĺ +à¸ķิ à¸Ķ +×ĺ ×Ļ×Ŀ +Ġë ¬´ +ÙĤد Ùħ +Ġdü ÅŁ +ائ ÙĦ +м Ñĭ +ØŃ Ø³ +ÙĪ ص +×Ļק ×Ķ +ãģ§ãģ¯ ãģªãģĦ +à¹Ģ หม +оÑĢ ÑĤ +í Ĩµ +ãģ IJ +к ÑĢа +ีย ว +ع ار +ئ Ø© +íĥ Ģ +ãģ«ãģª ãĤĬ +ج Ø© +ÙĪÙĤ ع +ÑĮ Ñı +×ķצ ×Ķ +ש ×Ŀ +ب ÙĤ +Ġ×Ļ ×Ķ +ÙĬ Ø· +ım ız +д еÑĢж +×Ļש ר×IJ׾ +غ ÙĬر +ร à¸Ńà¸ĩ +à¹Ģรีย à¸Ļ +Ġ×Ķ ×ĺ +หม าย +Ùħ Ùĩ +اÙģ Ø© +Ġо ÑĢг +ÙĪ Ùī +ãĥ© ãĤ¤ +×ŀ ׳×Ķ +ĠÄij o +Ġг оÑĢ +اÙħ Ø© +æ¥ ½ +Ø« ÙĬر +à¸ģิ à¸Ī +á»ĵ n +ÙĨ ب +ÑĢÑĥ д +ìĹ Ī +Ġ×Ĺ ×ijר +ÑĢаР¶ +ạ ch +ت ÙĪ +à¹Ĥ ม +×ij ×Ļ×ij +Ġí Ĩµ +aca ģı +جÙĦ س +à¹Ģà¸Ľ ล +ว à¸Ķ +à¸Ń ล +ãģŁ ãĤĬ +à¸Ľ ัà¸į +Ġìķ Į +عر Ùģ +à¹Ħ à¸Ł +Ø£ Ø® +å¤ļ ãģĦ +à¸Ķ ัà¸ĩ +Ø´ Ùģ +ãģ£ãģ¦ ãģĦãģ¾ãģĻ +׼ ×ł×¡ +ÑĨ е +еÑģ п +Ùħ اÙħ +à¸ŀื à¹īà¸Ļ +иÑĩеÑģ ки +Ø® د +Ùĥ ÙĪÙħ +Ġ×Ķ ר×IJש +ت اب +é£Ł ãģ¹ +ื à¸Ļ +оÑĢ о +Ġb öl +×ķ×Ĺ ×ĵ +دÙĬ ر +ắ m +د ع +ãģķ ãģĽ +à¸ĺ ร +à¸ĺร รม +ãģĭ ãĤĤ +å¤ļ ãģı +r ä +س ع +×Ļ׾ ×Ķ +ض ر +ĠاÙĦ شر +×ĸ ×ķר +×¢ ×ijר +ạ m +алÑĮ но +ر ÙĨ +اÙħ ج +׼ ×ļ +d ıģ +д ен +ض ا +ÙĦÙĬ Ùħ +Ġê·¸ 룬 +تÙħ اع +ار ÙĬØ® +à¹Ĥ à¸ķ +ĠÑģ ÑĢед +Ġ׳ ×ķס +ÙĤ بÙĦ +оÑĤ ов +le ÅŁtir +Ġм еÑģÑĤ +سÙĦ Ùħ +Ġ×¢ צ +ĠاÙĦس ÙĦ +еÑĤ ÑĮ +اب Ø© +н ак +สà¸ĸ าà¸Ļ +Ġ×ij ׳ +à¸ļ ัà¸Ļ +׼ ׳ +Ġö ÄŁ +ãģ¨ è¨Ģ +uy ến +di ÄŁ +áºŃ u +ÑĢ аÑģ +ãĤ· ãĥ§ãĥ³ +n ız +×ķ×ĵ ×Ķ +ت س +Ùħ اÙĦ +à¹Ģห à¸ķุ +ย ว +à¸ŀ ัà¸ģ +ãģĦ ãģªãģĦ +Ġк аÑĩ +ล à¹Į +ר׼ ת +ÅŁt ur +×ŀ ×ķס +ãģ ¥ +б ол +عÙħ اÙĦ +×ķר ת +ÑĨи он +ศ ึà¸ģ +ภı +ÑĢ ен +اس ÙĬ +ائ ر +à¹Ĥ à¸Ľà¸£ +Ġse ç +غ ÙĬ +Ñį ÑĤ +ен н +ãģª ãģ® +×Ļש ×Ķ +×Ļפ ×ķר +ãģŁãĤģ ãģ« +ز Ø© +Ġç oc +ãĤ¯ ãĥª +ÑĪ ен +ãĤı ãģij +رÙĬ د +ĠÑĢ аÑģÑģ +Ùĥ ات +ส à¸Ńà¸ļ +ce ÄŁi +ãĤ¿ ãĤ¤ +à¸ļ ร +ĠاÙĦ بر +׳ ×ķ×¢ +r ün +را ض +ศา ส +à¸ķ รà¹Į +ãģį ãģŁ +×ķ׾ ×ĵ +еÑĢ и +íĹ ĺ +ắ p +ت عÙĦ +Ùĥ د +иÑĤелÑĮ но +Ø· Ùģ +Ġав ÑĤом +Ġ×ŀ צ +ÑĪи Ñħ +ات Ùģ +ĠÑħ оÑĤ +Ùİ Ø§ +ãģı ãĤĭ +×Ķ פ +à¹Ĥ à¸Ĺ +à¹ģ à¸ŀ +à¹Ī à¸Ńย +ĠاÙĦÙħ Ø´ +à¸ģาร à¸ĵà¹Į +ани з +×Ķ ׾ +ظ Ùħ +ย ุ +li ÄŁ +à¹Ħ à¸Ĥ +à¸ĸ ืà¸Ń +ö z +ãģij ãģ¦ +à¹Ģ à¸ľ +ุ ม +ãĥĹ ãĥ¬ +Ġ×Ķ×IJ ×Ĺר +خت ÙĦÙģ +à¸ İ +ÙĦا ØŃ +Ġdü zen +צ ×Ķ +س اء +×ķר ×ļ +×ķ×ĵ ×Ļ +ÑĢа ÑĦ +ÅŁt ır +ãģ« åħ¥ +ãģĪ ãģ° +ص ÙĪÙĦ +ĠÐľ оÑģ +ا Ùĩر +ãģ£ ãģ +ĠлÑİ Ð± +×Ļ×¢ ×Ķ +Ġ×Ķ×ŀ ק +สิ à¸Ĺ +สิà¸Ĺ à¸ĺิ +×Ļ׳ ×Ŀ +ÙĦا Ùģ +à¸ŀัà¸Ļ à¸ĺ +×ķ×IJ ×Ķ +ม ั +à¸Ĥ à¸ĵะ +д оÑĢ +ãģ¨ ãģª +à¸ģระ à¸Ĺ +ac ı +×ķ׾ ×ķ×Ĵ +Ñĥ ÑĪ +ãĥ¥ ãĥ¼ +ãĥ ¦ +Ùħ ست +Ġa ÅŁ +ש ק +פ ת×Ĺ +าย à¸Ļ +í ĩ +ë ¢ +ï · +í ī +ì µ +ì ¬ +ðĿ Ľ +ì Ĵ +ë Ļ +ê § +á ĸ +â ¨ +â ± +á ĺ +ð ĸ +à ł +á Ķ +ðIJ Ń +ữ ng +Å© ng +Ġ×Ķ ת +ĠاÙĦ ا +Ġ×ŀ ת +à¸ĸ ึà¸ĩ +ò n +á»ĭ nh +нÑĭ м +Ġc ả +à¸Ķ ู +Ġ à¹ģà¸ķà¹Ī +Ġ×ij ×Ķ +ó i +ãģ¨ ãģĹãģ¦ +ú ng +ĠØ ° +Ġ×Ķ ׳ +Ġب ÙĨ +ÙĦ اÙĦ +à¹Ħ à¸Ĺย +á»ĩ p +t ı +ม ัà¸Ļ +ằ ng +á»ij t +к ом +à¸ĭ ึà¹Īà¸ĩ +à¸Ħร ัà¸ļ +à¸ļ à¹īาà¸Ļ +ĠاÙĦ ÙĬ +l ü +ÙĪ س +ãģł ãģ£ãģŁ +à¹Ģ à¸ĩ +Ġê³ µ +н Ñĥ +ãĤĪ ãĤĬ +м Ñĥ +à¹Ģà¸Ĥ า +ãĤ Ģ +ни е +ãģ«ãģª ãĤĭ +áºŃ y +ĠÙĪ ا +ëł ¤ +ש ×ķ +á p +×ĵ ×ķ +ãģ§ ãģĹãģŁ +ع ض +Ñģк ой +æĦŁ ãģĺ +ÑİÑĤ ÑģÑı +Ġ×Ļ ׼×ķ׾ +ãĤĵ ãģł +в и +à¹Ģล à¹Īà¸Ļ +ìĿ´ ëĭ¤ +ĠÙĦ Ùĩ +à¸Ħ ืà¸Ń +ت Ùĥ +Ùħ ÙĥÙĨ +a ģı +׳ ×ĵ +ë¯ ¼ +à¹Ħ ว +สำ ห +สำห รัà¸ļ +Ñģл ед +t ır +ĠÙĦ ÙĬ +ĠاÙĦع ÙħÙĦ +×ij ×ķת +×ij ×Ļ×Ŀ +à¸Ħ ำ +à¹Ģà¸Ħร ืà¹Īà¸Ńà¸ĩ +lı ģı +ืà¸Ń à¸ĩ +ج د +íŀ Ī +ìĭ ¬ +×¢ ×ķת +ส ิà¸Ļ +Ñĩ и +ر ض +à¹Ģà¸Ľ ิà¸Ķ +à¸Ħ à¹Īา +ìĦ ł +ÙĪر Ø© +ק ×ĺ +ìľ ł +ع ÙħÙĦ +×IJ ×Ļ×Ŀ +׾ ×Ļ×Ŀ +à¹ĥห à¸į +à¹ĥหà¸į à¹Ī +ừ a +á»į i +ãģ ¶ +ÃŃ ch +ãĥĩ ãĤ£ +×ķר ×Ļ×Ŀ +Ñģ о +ìķ ½ +ов а +Ñĩ аÑģÑĤ +à¹Ģà¸Ī à¹īา +п ÑĢо +Ġ×ŀ ×Ĺ +ãĥ İ +×ķ×Ļ ×ķת +Ġд е +ë§ Ī +ì§ ģ +×Ļפ ×Ķ +ĠاÙĦع اÙĦÙħ +ë¥ ´ +ר×IJ ×Ķ +uy á»ĥn +×¢ ×Ļ +ม ืà¸Ń +Ø¥ ÙĨ +ร ู +ĠØ ² +×Ļ ×ķ×Ŀ +à¸ķ à¹īà¸Ļ +ãģ¦ ãģĦãģ¾ãģĻ +Ùħ اÙĨ +ĠÐ ¥ +à¸Ľà¸£à¸° à¹Ģà¸Ĺศ +á» ³ +׾ ×ij +à¹Ģà¸Ķ à¹ĩ +ãģŁ ãģ¡ +à¸Ĺี ม +à¸Ļ ะ +ìĹ ° +Ġìł Ģ +ÙĦ Ùĩ +ợ i +ĠاÙĦ ز +د ار +ãĤ³ ãĥ³ +м ин +à¹ģห à¹Īà¸ĩ +à¸Ķ ัà¸ļ +׼ ר +ж а +íĸ Ī +×ŀ ×ĸ +ợ i +à¸Ķ า +Ġع بد +à¹ģ ร +×IJת ר +×¢ ׳×Ļ +à¹Ģ à¸Ħ +×ķצ ר +ì§Ģ ë§Į +ائ Ùħ +Ø£ س +uy á»ģn +Ġ×IJ ׳ +׊׳×ķ +×ĸ ×Ļ +ร à¹īาà¸Ļ +ĠÐł оÑģ +ĠÐłÐ¾Ñģ Ñģ +رب ÙĬØ© +t ür +ãĤĭ ãģĵãģ¨ +ظ ر +б Ñĭ +à¸Ĺีà¹Ī สุà¸Ķ +Ġצ ר +èĩª åĪĨ +л аÑģ +ĠÑı в +ĠÑıв лÑı +à¸ŀร à¹īà¸Ńม +à¸Ńา à¸Ī +à¸ļริ à¸ģาร +Ġç ı +ëį ĺ +ĠاÙĦÙħ ست +ت Ø´ +ש ×ķ×ij +ãĤ ´ +Ġyap ıl +ĠاÙĦ Ø° +ุ à¹Īม +à¸ĸ à¹īา +ìĦ ¤ +ì° ¨ +в аÑĢ +à¹Ģà¸ŀ ิà¹Īม +Æ°á»Ľ i +Ùĥ س +à¸Ńย าà¸ģ +ãģ¦ ãĤĤ +Ġг од +ÙĬ ار +à¸ķ à¸Ńà¸Ļ +Ġиг ÑĢ +à¹Ħà¸Ķà¹ī รัà¸ļ +ĠاÙĦÙħ ر +ÙĤ ت +Ġë ĺ +Ġëĺ IJ +ẩ n +ãģĻãĤĭ ãģĵãģ¨ +×Ĵ ×Ŀ +Ġ×ij ×ij +ت د +ÙĪ ار +ãĤ ® +п ол +Ġм ог +تر Ùĥ +ÙĪ Ø« +Ġç ık +ا Ø© +à¹Ģà¸Ķ ียว +มี à¸Ħวาม +Ġ×ŀ ×Ĵ +ص Ùģ +ĠТ ак +Ġ׼ ת +×Ļ×ĵ ×Ļ +ов оÑĢ +ầ y +สิ à¹Īà¸ĩ +ب ت +ür ü +ÙĨ ج +หล ัà¸ģ +×Ļ×Ķ ×Ŀ +ÙĤ ص +з Ñĭ +×Ľ×ª ×ij +Æ° u +m ız +ĠìĦ ¸ +л ог +Ùħ ÙĬÙĦ +ÙĬ ج +íĴ Ī +à¸ŀ à¸ļ +ห ัว +з на +ר ק +à¹Ĥ ร +Ġ×ij ס +ĠBaÅŁ kan +ĠëĶ ° +à¸Ń ัà¸Ļ +ีà¹Īย ว +н еÑģ +à¹Ģà¸Ķ ิà¸Ļ +ÙĬ اÙĨ +×ķ׾ ×Ļ +ا خت +צ ×ķת +ãģĵ ãģĵ +ĠاÙĦ اÙĨ +ĠпÑĢо ÑĨ +ãģ¾ ãģł +׼ ס +ĠاÙĦ Ø¢ +ÙĬ ز +ĠاÙĦد ÙĪÙĦ +Ġíķĺ ëĤĺ +ض ع +ê» ĺ +ÅĽ wi +ย ิ +ãģ¡ãĤĥ ãĤĵ +ĠÙħ Ø´ +à¸ĺ ี +ãģ¨ ãģį +׳×Ļ ×ķת +Ġë ¯ +Ġë¯ ¸ +Ġs ı +ëĭĪ ê¹Į +Ġп л +غ ÙĦ +à¹ģ รà¸ĩ +ب ÙĬر +ãģĤãĤĬ ãģ¾ãģĽãĤĵ +ê· ¼ +Ġy üz +ĠdeÄŁ er +åł´ åIJĪ +á» ¡ +м аÑĤ +รา à¸Ĭ +ÙĪر ÙĬ +ж ен +ãģ¾ ãĤĬ +ãģ® ä¸Ń +×Ļ×ĵ ×¢ +à¸Ń ุ +à¸ļ à¸Ńล +à¸Ľà¸±à¸į หา +ز Ùħ +ÄŁ a +à¸Ń ืà¹Ī +à¸Ńืà¹Ī à¸Ļ +п л +Ġне обÑħодим +׼ ×ij +à¹Ģ ศ +קר ×Ķ +ì² ĺ +ëł ¨ +×ŀק ×ķ×Ŀ +jÄħ c +Ùĩ ÙĦ +Ġ×¢ ×ij×ķ×ĵ +à¹Ħม à¹ī +à¸ģล ัà¸ļ +×ķ׼ ׾ +ק ×ĵ +اÙĦ ÙĬØ© +ر Ùĩ +ãģij ãĤĮãģ° +ĠÙĨ Ùģس +ãĤ¢ ãĥ« +ìĹ Īëĭ¤ +ק ×ķר +н еÑĢ +ب اب +ãĤ ¶ +سب ب +ÙĦ ÙĬÙĦ +ص ÙĨ +ص در +ế m +à¸Ĭà¹Īว à¸ĩ +ØŃ ÙĨ +Ġ×ij ×Ĵ +×ŀ ×ķ×¢ +׾ ×Ĺ +大 ãģį +ت ب +н еÑĤ +×Ļ×ij ×Ķ +б л +ãĥĹ ãĥª +اص Ø© +ãģ¤ ãģij +×Ļ×ŀ ×ķש +ãģĮ ãģĤ +ëĭ ´ +ãģĭãĤĤ ãģĹ +ãģĭãĤĤãģĹ ãĤĮ +ãģ¡ ãĤī +×ij ×ĺ +Ġba ÄŁ +×Ļ×Ĺ ×¡ +×ij ×ķ×¢ +ล ี +פע ×Ļ׾ +им и +g ÅĤ +Ġим е +خد اÙħ +×IJ ×Ļר +Ġy apt +ãģ¨ ãģĦ +à¸ĩ à¹Īาย +׾×Ļ ×ķ +ØŃد Ø« +را ÙĤ +ĠÄIJ i +اد ر +ãģĵãģ¨ ãĤĤ +×ij ×Ļר +Ġв з +ض اÙģ +ת ×ķ׼ +ÑĢ ом +ر ات +à¹Ģà¸Ĺ à¹Īา +ãģĺ ãĤĥ +ãģĿ ãģĵ +اج تÙħاع +à¹īà¸Ń à¸Ļ +ÙĤ Ùħ +ë³ ¸ +Ä ŀ +ש ×Ļ×ķ +×ij ׳×Ļ +ìľĦ ìĽIJ +à¹ģ à¸Ī +×Ĺ ×ķר +دÙĬ ÙĨØ© +ت Ø· +ằ m +ò a +ย à¸Ńà¸Ķ +Ġëĭ ¹ +สุ à¸Ĥ +×ĵר ×ļ +د ÙĨ +س ÙĬÙĨ +ÙĪÙĤ Ùģ +ÑĨ Ñĭ +г оÑĤов +еж дÑĥ +à¸ŀ วà¸ģ +اÙĤ تص +اÙĤتص اد +cz ÄĻ +ni ÄĻ +ÑĢ еб +ØŃ ÙĪ +à¸Ĺ à¹Į +ãĤĪ ãģŃ +д ж +à¸ģล à¹Īาว +دÙĬ Ø« +ãĤ³ ãĥŁ +ÙĤ ÙĪÙħ +Ġت ØŃ +à¹Ģ à¸ķิ +اÙģ ظ +à¸Ī ุ +رÙĬ اض +×ŀש ×ļ +à¹Ĥ ย +еÑĢ е +ãģ¿ ãģŁãģĦ +ìĿ´ ëĿ¼ +ĠاÙĦÙħ ÙĪ +ĠÑģÑĤ о +à¹Ģรà¹ĩ ว +Ġд еÑĤ +ĠÑģ дел +à¹Ģà¸Ĭ ืà¹Īà¸Ń +פ ׳×Ļ +ÙĪض ÙĪع +×ij ס +à¹ģ à¸Ķ +ó c +ริ ม +ÑĢаР´ +ìĪ ł +ãĥ¼ãĤ º +ãģ« ãģĬ +и но +פ ×Ļ׾ +à¸Ĭั à¹Īà¸Ļ +×Ĺ×ĵ ש +à¹Ģà¸Ļ ืà¹Īà¸Ńà¸ĩ +׳ ×Ļס +غ رب +ãĤ¸ ãĥ£ +ส ัà¸ĩ +à¹Ģ à¸Ĺีà¹Ī +à¹Ģà¸Ĺีà¹Ī ยว +ëŁ ¼ +à¹ģ à¸Ł +ãĥ¼ãĤ · +ãĥ¼ãĤ· ãĥ§ãĥ³ +Ġвоз мож +جÙħ ÙĪع +×ijר ×Ļ×Ŀ +ãĥĪ ãĥ© +ĠкаÑĩ еÑģÑĤв +Ø· ÙĬ +ÑĤ Ñı +צ ×ķ×¢ +ÄŁ ını +ع ÙĦÙī +ا Ø° +ÙĪاÙĤ ع +Ùħ ÙĪا +ائ ÙĬÙĦ +к ол +á»ģ m +à¸ľà¸¥ ิà¸ķ +×Ļ׳ ×ĺר +س Ùĥ +ש ×Ļר +ศึà¸ģ ษา +à¸ļ ั +Ñĩ аÑģ +×ķפ ×Ķ +×Ļפ ×ķ׾ +ĠاÙĦس اب +رÙĬ ب +ĠاÙĦ بÙĬ +ãĤ¹ ãĥĨ +Ñĩ ен +à¹ģ à¸ľ +Ġ׳ ש +ز ÙĬد +ØŃ Ø§Ø¯ +ëį Ķ +رÙĪ ع +à¸Ĺุ à¸Ļ +ส มา +c zeÅĦ +×Ļ×ĵ ×Ķ +ãģ§ ãģĤ +Ġçoc uk +Ø® ب +à¸ļ าย +à¸Ľà¸£à¸° à¸Ĭา +×ŀש ׾ +ãģª ãģĭ +à¸ģ าย +ãĥģ ãĥ£ +аÑĢ и +ĠÑĩ а +à¸Ķ ำ +à¸Ĺั à¹Īว +Ñĥ Ñħ +Ġö z +Ġì¢ ĭ +ج رÙĬ +ائ ÙĤ +à¸ł ัย +Ø· ار +د ارة +Ä© nh +Ø« ÙĨ +zell ik +اÙĦ ت +Ġg eli +ãĥķãĤ © +ол од +رب ع +שת ×ŀש +à¸ļร ร +íĿ ¬ +Ġü rün +Ġê·¸ ëłĩ +ศาส à¸ķรà¹Į +ãģ ľ +×Ļ×ij ׾ +ĠпÑĢед ÑģÑĤав +سط ÙĬÙĨ +ãĤĴ 使 +Ġпом оÑī +×ķק ר +ãĥ¯ ãĥ¼ +Ġyö net +×Ļק ר +à¸Ĥ า +еÑĢи ал +ØŃ Ùģ +Ġ×Ļ צ +à¸Ĺ ิ +å£ ² +à¸Ļ à¸Ńà¸ģ +×ķ׼ ר +íĻ ľ +ủ y +ĠاÙĦÙĤ ر +×Ļ×ij ×ķת +ÅĽ ni +Ùħ شار +ượ t +ĠÙĦ دÙĬ +ÑĤ ел +ĠØ¥ ÙĦÙĬ +عÙĦ ÙĪÙħ +ìķ ĺ +в иÑĤ +à¸Ħ ะ +yr ı +ãģ¨ ãģ£ãģ¦ +à¹Ģ à¸ī +à¸ĸ าม +ÙĤ ار +عÙĦ اÙħ +ặ ng +Ùħ ÙĴ +×Ļ×ŀ ת +سب Ø© +ãĤ¯ ãĥ© +×ķס ×£ +ĠпÑĢ ин +ãģĦ ãĤį +س اس +عت بر +วิ à¸Ĺย +วิà¸Ĺย า +س Ùĥر +ãĤ· ãĥ§ +ãģ ģ +ัà¸ģ ษ +×ij ×ķ×Ķ +ห ย +ãģ¾ ãĤĮ +ĠоÑĢг аниз +каз ал +ĠÑģв Ñıз +uy ết +ĠпÑĢо из +Ġק ×ĺ +à¹ģà¸ģ à¹ī +п ÑĥÑģ +Ġê·¸ ê²ĥ +ëĬ IJ +л екÑģ +ãĥ¼ãĥ Ĺ +à¸ķ ำ +ת×Ĺ ×Ļ׾ +à¸Ńà¸ĩ à¸Ħà¹Į +Ạµ +׳ צ +Ø£ Ø´ +Ø´ Ùĩ +ย ะ +à¸ģ à¸İ +ĠاÙĦØ¥ سÙĦاÙħ +ед ÑĮ +ãģ² ãģ¨ +ëıĦ ë¡Ŀ +ãģ© ãģ® +Ñĥ в +еÑĩ ение +ĠاÙĦت ج +ãģ« è¡Į +Ġп озв +ãĤı ãĤĬ +ÙĦ اث +íķĺ ìĺĢ +Ġм аÑĢ +Ġkon uÅŁ +ãĥ¬ ãĤ¹ +ãĤĴ æĮģ +ĠоÑģ нов +×Ĺ ×ij +ÙĪج ÙĪد +פ ×ķף +в оÑĢ +Ġн ик +ãģĭ ãĤĭ +ÅŁtır ma +×Ļס ×ĺ +Ø£ ÙĦ +ห à¹Į +и она +лÑĮ н +Ġг оÑģ +ĠÐľÐ¾Ñģ к +ÑĢ об +×ķ×IJ ×Ļ +ãģĬãĤĬ ãģ¾ãģĻ +ãģ£ãģ ± +к л +à¸Ļ à¸Ķà¹Į +رÙĬ Ùģ +اس ب +ĠÑĢ еÑĪ +Ġд ол +ãģ¹ ãģį +×Ļ×ij ×ķר +м еÑī +Ġна ÑĪ +à¹ģ à¸Ľà¸¥ +ÑĢ иÑĤ +кÑĥ Ñģ +и ÑĢа +аÑĤ ÑĥÑĢ +ÙĪا صÙĦ +à¹Ģà¸ľ ย +à¸Ń ำ +à¹Ģà¸ģ ิà¸Ļ +غ Ùħ +ãģĻ ãģİ +lı kl +ÅĦ sk +ê² ¬ +×Ļ׼ ×Ķ +׊ש×ij +ÙĪر ÙĬØ© +Ġд ейÑģÑĤв +×Ĺ׾ ×ĺ +Ġ׾ ×ŀ×¢ +צ׾ ×Ļ×Ĺ +еÑĩ а +Ùģ اع +×Ĵ ×Ļ×ĵ +áºŃ m +ÄĻ b +Ø´ ع +ãģı ãĤĬ +à¸ŀ ุ +ед еÑĢ +à¸Ĥ à¸Ļ +à¸Ħ าร +ĠболÑĮ ÑĪ +ãģı ãģªãĤĬ +à¸ĵ า +×ĵ ×ķ×Ĵ +Ġм н +ä¸Ĭ ãģĮ +ç¶ļ ãģį +ฤ ษ +ภĨ +Ø® ÙĬ +à¹Ģà¸Ĺ à¸ŀ +สั ม +à¹Ģส à¸Ļ +à¹Ģสà¸Ļ à¸Ń +ãĥ ´ +Ġи ÑģÑĤ +با شر +ĠÑĥ ÑĢов +×ŀ ×ķ×ĸ +ab ı +wa ż +×ķצ ×IJ×Ķ +ÑĤ веÑĢ +à¸ŀัà¸Ļà¸ĺ à¹Į +׳ ×Ĵ×ĵ +ãĤĭ ãģĵãģ¨ãģĮãģ§ãģį +ĠÑĤÑĢ еб +à¸ģร ุà¸ĩ +ØŃت اج +à¹Ģ à¸Ħล +ã Ĩ +ÄĻ tr +Ġszcz eg +Ġר ש +à¸Ĺ à¸ĺ +Ġн ек +Ġнек оÑĤоÑĢ +в ÑĪ +Ð ¬ +à¹Īว ย +ล ุ +б ÑĢÑı +หม ูà¹Ī +à¹ģ à¸ķà¸ģ +ר׼ ×Ļ×Ŀ +Ġí ĸī +ã i +Ùĥر Ø© +â Ń +í IJ +ã į +á ģ +â ® +â ¥ +ì ® +à ¿ +â ¿ +á Ĥ +á ¤ +â ł +í Ł +ðIJ į +ðIJ ° +ðĿ Ĩ +ðŁ Ī +Ġ×¢ ׾ +Ġع ÙĨ +ĠÙħ ع +Ġ×ĸ ×Ķ +ĠÙħ ا +Ġm Ãł +Ġd ụ +á»ĩ c +а Ñħ +s ı +íķĺ ê³ł +Ġ×ķ ×ij +ĠÐŁ о +×ķת ר +ĠÙĦ Ùħ +Ġ×ķ ׾ +ãģĹãģ¦ ãģĦãĤĭ +Ġ×ŀ ×Ļ +Ġب ÙĬÙĨ +з а +ĠÙĥ اÙĨ +Ġ×Ķ ×Ļ×Ķ +ëħ Ħ +×IJ ×ķ +д и +ĠпеÑĢ е +d ı +Ġ׾ ש +Ġש ×ŀ +ãģĮ ãģĤãĤĭ +ãģĦ ãģĦ +ÑĢ е +ק ×ķ +и ли +м е +ÙĬ ت +ãģ§ ãģĤãĤĭ +Ġв о +à¹ĥ หม +à¹ĥหม à¹Ī +Ġש ×ij +Ġ à¹Ĥà¸Ķย +ÙĬ Ùĩ +ãģ§ãģĻ ãģĮ +ãģ¨ ãģ¯ +ר ×ķ +Ġ à¸ĭึà¹Īà¸ĩ +ãģ§ãģį ãĤĭ +м о +à¹Ģà¸ŀ ืà¹Īà¸Ń +צ ×ķ +×ĺ ×ķ +ìķ Ī +Ġh á»į +à¹Ģà¸ĩ ิà¸Ļ +ĠاÙĦ ب +Ġ มี +ë¬ ¼ +Ñģ е +ëĵ¤ ìĿ´ +Ġë§ IJ +Ġl Ỽ +a ÅĤ +×Ĺ ×ijר +Ġd á»± +ÙĬ Ø« +Ġth á»ĭ +à¸ģà¹Ī à¸Ńà¸Ļ +Ġ×ij ׼׾ +ãģ ¸ +ãģ¨æĢĿ ãģĦãģ¾ãģĻ +ả nh +ย า +Ùģ ا +ส ี +à¸ķ า +ë² ķ +ãĥª ãĥ¼ +รา à¸Ħา +Ġ×ķ ׾×IJ +ãģ¨ ãģĵãĤį +à¹Ģล ืà¸Ń +di ÄŁi +ÙĪ اÙĨ +Ġ׾×Ķ ת +รว ม +פ ×Ļ×Ŀ +à¸ľ ม +ж и +c ı +ÑĢ од +Ġkar ÅŁÄ± +×Ĵ ×ķ +ãģ« ãģ¤ +ãģ«ãģ¤ ãģĦãģ¦ +r Ãł +×Ļ×ķת ר +ĠìĨ Į +ק ×Ķ +ÑģÑĤв о +ãģij ãģ© +g é +à¸Ķ à¹īาà¸Ļ +çļĦ ãģ« +ĠÙĬ ÙħÙĥÙĨ +ìĨ į +ÙĬ Ùĥ +à¹Ħว à¹ī +Ñģки й +ì m +Ġ׾×IJ ×Ĺר +à¸Ńา หาร +Ġà¹Ģ à¸ŀ +รา ะ +ล ูà¸ģ +ÑģÑĤ а +Ġìľ ł +ÙĤ ÙĪÙĦ +б оÑĢ +Ñģк ого +หล ัà¸ĩ +à¸Ĥ à¹Īาว +à¹Ģม ืà¸Ńà¸ĩ +ê° ģ +t Ãł +ÙĬ ÙĬÙĨ +عر ض +ë° © +Ġëı Ļ +Ġà¹Ģ à¸Ľ +Ġà¹Ģà¸Ľ à¹ĩà¸Ļ +ç i +li ÄŁi +ìĹIJ ê²Į +ãĤ¿ ãĥ¼ +Ġ׾ ת +פ ×ķת +à¸Ĥ à¸Ń +ر س +ìł IJ +à¸ľ à¹Īาà¸Ļ +ÑĦ и +ج ÙĨ +ì¢ ħ +Ġ×Ķ פ +Ġn go +á»ĭ a +Ġtá» ķ +Ġê·¸ 리 +à¹Ģม ืà¹Īà¸Ń +Ø° Ùĥر +ìĸ ij +ìĹ Ń +×ĺ ׾ +k ı +Ġع ÙħÙĦ +Ġع ÙĨد +à¸ĭ ืà¹īà¸Ń +Ġê± ° +в е +r ü +à¹Ģ à¸Ńา +ส à¹Į +à¸Ī à¸Ļ +ס ת +Ġgi ả +ãĤĭ ãģ¨ +à¸ģำ ลัà¸ĩ +н ей +à¸Ī ริ +à¸Īริ à¸ĩ +Ġë į +Ġëį Ķ +à¸Ħà¹Ī ะ +ì n +Ġsü re +Ġqu y +à¸ļ าà¸ĩ +åıĸ ãĤĬ +ר ×Ĺ +×ij ת +ãģĮ ãģĤãĤĬãģ¾ãģĻ +ר ש +ìĹIJ ëĬĶ +Ġ×IJ פשר +ay ı +ãģĮ ãĤī +ØŃ Ø¨ +ан Ñģ +س ÙĪ +ĠпÑĢ е +د ÙĪ +ãģ« ãĤĪ +à¹Ģà¸ģ ม +สู à¸ĩ +m akt +makt ad +maktad ır +Ġön em +×Ļ×ŀ ×Ļ×Ŀ +б о +ÙĪ ÙĬØ© +รู à¸Ľ +à¹Ĥล à¸ģ +Ùħ ÙĬع +ÑģÑĤ Ñĥп +à¹Ĥ à¸Ń +دÙĬ ÙĨ +ì¤ ij +ãģĹãģ ı +à¹Ģส ีย +в Ñĭ +Ùħ ت +íĺ Ħ +ãĥIJ ãĥ¼ +ا Ø´ +ק ס +Ġtá» ¥ +ล à¸Ķ +Ùģ Ø© +í ijľ +ر ج +k ÅĤad +ĠÅŁ ey +ĠØ£ Ùħ +Ġà¹Ģ ม +Ġب ÙĦ +Ñģ каÑı +ãģ¨ ãģ® +Ġìĭ ¤ +ấ m +ห à¹īà¸Ńà¸ĩ +à¸Ĭ ม +d ü +Ġç ek +Ġê³ ł +×Ĵ ×ij +à¸Ĭี วิ +à¸Ĭีวิ à¸ķ +Ùģض ÙĦ +ภ¯ +ç ı +Ġب Ø´ +ĠÙĩ ÙĨا +ãģį ãģ¾ãģĹãģŁ +t ü +Ġìĺ ģ +ĠTür k +к ÑĤ +פר ס +ãģ¨ãģĦãģĨ ãģĵãģ¨ +í ĶĦ +à¹ģร à¸ģ +ר ×ķף +Ġar as +×ŀצ ×IJ +Ġtá» ī +س ا +à¸ŀ à¸Ń +ĠاÙĦÙħ ØŃ +ãĥ ¤ +ĠاÙĦ است +Ùģ ÙĨ +×Ļ×ŀ ×Ķ +ر ت +ãģ¨ ãĤĤ +Ġна Ñģ +п ÑĢи +Ġ×Ĺ ×ķ +и ла +ÙĬ Ø´ +Ġgö z +Ġ×ij ׳×Ļ +ım ı +ĠÑĤ еÑħ +Ġh á»Ļ +غ ر +к он +اØŃ Øª +Ġ à¸ŀ +à¸Ń à¸Ńà¸Ļ +à¸Ńà¸Ńà¸Ļ à¹Ħล +à¸Ńà¸Ńà¸Ļà¹Ħล à¸Ļà¹Į +Ñħ о +Ñı в +à¹ģ สà¸Ķ +à¹ģสà¸Ķ à¸ĩ +à¹Ģà¸ŀ ียà¸ĩ +ÑĤ ов +ا ÙĬ +Ġ×Ķ ×ĵ +Ġ×ķ ׼ +ãĤī ãģĦ +×ķפ ף +Ġë ¶Ī +ล à¸Ńà¸ĩ +Ø· اÙĦ +Ġн и +ĠÙħ ست +ế c +Ġש ׼ +ĠëķĮ 문 +วัà¸Ļ à¸Ĺีà¹Ī +×Ļ׾ ×ĵ +ØŃ Ø§ +е ÑĨ +Ġc ứ +×ĵ ×ķר +ĠÙħ ØŃ +ר׼ ×ij +بÙĬ ع +ни и +ĠاÙĦØ£ ÙĪÙĦ +à¸Ħว ร +ãģ¨æĢĿ ãģĨ +ĠС о +ائ ÙĬØ© +ر اء +оÑģ об +Ġب Ø£ÙĨ +×¢ ×ķ×ĵ +ĠÑĤ е +ãģĵ ãģĨ +ÑģÑĤ ÑĢа +ай н +Ġsö z +ت ÙĨا +à¸Ń ิ +ặ p +ĠìķĦ ëĭĪ +íķ Ń +Ġר×IJ ש +Ġ à¹Ħà¸Ķà¹ī +Ġ×Ĵ ×ĵ +Ġס פר +обÑī е +ĠÙĪ Ø¥ +ada ÅŁ +ãģ¡ ãĤĩ +ק ×ķ׾ +ÑĢ ез +ĠdÃ¼ÅŁ ün +Ġ×ij ×IJ×ŀ +Ġìĸ´ ëĸ +ער ×ij +н ее +ĠÑģÑĤÑĢ ан +س اÙĨ +yn ı +ĠاÙĦر ئÙĬس +ãģĹãģ ª +Ġ׳ ת +ãģ«ãģª ãģ£ãģŁ +g ü +åıĹ ãģij +׾ ת +ìł Ī +ëĬĶ ëį° +Ø® ÙĬر +à¸ķà¹īà¸Ńà¸ĩ à¸ģาร +ĠÙĦ Ø£ÙĨ +Ġch á»ĭ +ÙĪ Ø© +à¹ĥ ส +ë¶Ģ íĦ° +íķĺ ë©´ +ữ u +à¹Ģหม ืà¸Ńà¸Ļ +б еÑĢ +ĠìĿ´ ìļ© +ĠÑģ еб +wiÄĻ ks +Ġ׳ ×¢ +ÑĤ ÑĥÑĢ +Ġngh Ä© +ש ×ķ×ĺ +ti ÄŁi +Ġde ÄŁi +×IJ ×ij +Ġ×ŀ ×ŀ +ãĥĹ ãĥŃ +wa ÅĤ +à¸Ī ึà¸ĩ +Ø® دÙħ +×IJ ×Ŀ +Ä±ÅŁ ı +cz Äħ +ר ×ĵ +ĠÑĢ Ñĥб +خر Ùī +ãģ® æĸ¹ +Ġд енÑĮ +×Ĺ ×Ļ×Ŀ +еÑĤ е +ëĤ ľ +×IJ ×Ĵ +×¢ ×ķר +ë³ Ħ +åIJĮ ãģĺ +ãĤ ² +ר ×ļ +×ķש ×IJ +ìľ ¡ +ا Ø® +צ ×Ļ×Ķ +á»± a +ãģĪ ãģ¦ +ש×Ķ ×ķ +ан ÑĤ +ลา à¸Ķ +ин г +ë¡ ł +اع د +ÙĪ سط +Ġв оп +Ġвоп ÑĢоÑģ +Ùħ ÙĬÙĨ +à¸Ħ à¸ĩ +×Ļר ×Ļ×Ŀ +c ów +ê² © +Ġê·¸ 룰 +Ġì§ Ħ +Ġש ׾×Ķ +à¹Ģร ิà¹Īม +à¸Ĭ à¸Ńà¸ļ +д еÑĤ +ÑİÑī иÑħ +à¸ļ à¸Ńà¸ģ +æĢĿ ãģĦ +ع ÙĬد +ס ×ŀ +×Ĵ ×Ļ×¢ +צ ×ĵ +ب ات +ĠëĶ° ëĿ¼ +à¸Ī ัà¸ĩ +ãģłãģij ãģ§ +×¢ ×Ļר +ĠÑĩ ел +ĠÑĩел ов +ĠÑĩелов ек +ãĥĥ ãĥģ +à¹Ģà¸ģ ีà¹Īยว +à¸Ķ ิ +Ġפ ×¢ +×Ļ×ŀ ×Ļ +ë° ĺ +Ø® ار +×ij ×Ļת +×¢ ×Ļ×Ŀ +ü yor +ãĤģ ãģ¦ +к лад +Ġ à¸Īาà¸ģ +à¹Ģà¸Ħ ย +ส à¸Ńà¸ĩ +à¹ģ à¸Ħà¹Ī +ẫ u +หà¸Ļ ัà¸ĩ +ש׾ ×ķ×Ŀ +اÙĨ ÙĬØ© +åĩº ä¼ļ +åĩºä¼ļ ãģĦ +à¸ł าย +à¸ļา à¸Ĺ +à¸Ĭา ว +mu ÅŁ +Ġ׾ק ×ij׾ +ãĤ· ãĥ£ +ĠÄ° ÅŁ +×Ĵ×ĵ ×ķ׾ +ج عÙĦ +ë³ Ģ +ยิ à¹Īà¸ĩ +à¸Ļ าย +à¸Ļ ีà¹Ī +วิ à¸ĺี +ãĤī ãģªãģĦ +ëł Ī +Ġ문 ìłľ +Ġ à¸ģ +à¸Ĺำ à¸ĩาà¸Ļ +à¹Ģว à¹ĩà¸ļ +ÑĦ е +楽 ãģĹ +สำ à¸Ħ +สำà¸Ħ ัà¸į +ر Ùħ +ãģķãĤĮ ãģ¦ +Ġоб ла +ר×IJ ×Ļ +หม à¸Ķ +ÙĨ ÙĬØ© +ли н +Ġe ÄŁ +it im +ëł ¹ +ص اÙĦ +ÅĽ l +à¸ľ ิà¸Ķ +ãĥŀ ãĥ³ +åħ¥ ãĤĮ +à¹Ģà¸ķ à¸Ńรà¹Į +ار ÙĬ +ĠÐ ¦ +d ür +ส วย +ë¦ ½ +رÙĥ Ø© +Ġh ã +×Ļת ×Ķ +à¸Ĥ à¸Ļา +à¸Ĥà¸Ļา à¸Ķ +à¸Īำ à¸Ļ +à¸Īำà¸Ļ วà¸Ļ +ש ×ķק +Ġд ом +ì± ħ +ãģĭ ãģij +פ ×ķ׾ +à¸Ĭ าย +Ñģ моÑĤÑĢ +Ñģл Ñĥж +ש ×IJ׾ +кÑĢÑĭ ÑĤ +Ġìŀ ĺ +é«ĺ ãģĦ +ĠÑĢ Ñĥк +ÙĨ ص +д ав +Æ°á» ¡ +ưỡ ng +ر اÙħ +×Ļ׳ ×Ļ×Ŀ +ãĥ© ãĥ¼ +ëĦ ¤ +Ġت ع +l ke +好 ãģį +æĮģ ãģ¡ +Ġë§ İ +Ġy ük +ĠÑģоÑģÑĤ ав +енÑĤ ÑĢ +pe ÅĤ +à¹Ģà¸Ľà¸¥ ีà¹Īย +à¹Ģà¸Ľà¸¥à¸µà¹Īย à¸Ļ +íı ī +ãĤĦ ãģĻ +×Ĺ ×ĸ +×ijר ×Ķ +ë£ ¨ +ìĶ Ģ +بØŃ Ø« +à¹Ģà¸ķ à¹ĩ +ów i +ب Ùĩ +ãģį ãģ¾ãģĻ +Ġ×¢ ×ŀ +×Ĵ ×ķ׾ +ез д +ÙĬÙģ Ø© +สà¸Ļ à¹ĥà¸Ī +Ġת ׾ +Ñı Ñī +Ġس ÙĨ +ĠÙĪا ØŃد +ĠÑģ м +lad ı +ı ld +×Ļר ת +ีย à¸Ļ +ת×Ĺ ×ª +Ġж из +à¸ŀ ั +à¸ŀั à¸Ĵ +à¸ŀัà¸Ĵ à¸Ļา +à¸Ĭ ิ +ا Ø®ÙĦ +ãģ£ãģ¦ ãģĦãģŁ +รั à¸IJ +ãĤģ ãĤĭ +à¹Ĥ à¸ģ +ĠT á»ķ +Ġh akk +ر Ùģ +ìł Ģ +Ñģ об +ãģª ãģijãĤĮãģ° +Ùĩ ÙĪ +Ġë² ķ +ãĤ Ĩ +ĠاÙĦس عÙĪد +Ġ×IJ תר +Ø§Ø º +Ġ׾ ×ĵ +à¹ģ à¸ķ +à¹ģà¸ķ à¹Īà¸ĩ +íĮ Į +Ñĥп иÑĤÑĮ +à¸ŀืà¹īà¸Ļ à¸Ĺีà¹Ī +×ij ת×Ļ +à¹ĩ à¸ģ +ÅĤ at +Ġê°ľ ìĿ¸ +ìłķ ë³´ +ÑĤ ал +Ġgü ven +ĠÄ° l +Ġê° ģ +Ġب ت +×ŀ ×ķ׳×Ķ +ĠاÙĦØŃ ÙĥÙĪÙħ +ÙĤ ات +à¹ģ à¸ģà¹Ī +ห าà¸ģ +н ÑĮ +à¸Ľ รัà¸ļ +มา à¸ĵ +Ġне Ñģк +ĠØ ¶ +สม ั +สมั à¸Ħร +ãģĮ ãģĤãĤĬ +м еÑģÑĤ +Ġ×IJ צ׾ +Ġкомп ани +ס ר +ÙĬÙħ Ø© +ĠÑħ оÑĢо +ĠÑħоÑĢо ÑĪ +Ġ×Ļ ×ķ×ĵ +ü s +×Ĵ ×Ļש +à¸ļ à¸Ĺ +تÙĨ ظ +ว าà¸ĩ +ม หา +Ġ׼ ×ķ׾ +à¸Ĥ à¹īาà¸ĩ +ë° ľ +г од +д ан +ãģĭãĤĤãģĹãĤĮ ãģ¾ãģĽãĤĵ +ãģĵ ãģ¡ãĤī +ãĥIJ ãĤ¤ +ece ÄŁi +دÙĬ دة +ÙĨ Ùī +Ġëĭ¤ ìĿĮ +ว ี +غ ا +ли з +à¹Ģà¸Ķ ิ +à¹Ģà¸Ķิ ม +ĠÙĬ ست +Ġy ılı +ko ÅĦ +ãģ§ãģĹãĤĩãģĨ ãģĭ +ãģĤ ãģª +ãģĤãģª ãģŁ +ÑĨ ен +ĠÙĪ ز +×IJ ×Ļש +à¹Ī à¸Ń +ر ØŃ +ê´ ij +ÑĢа ÑģÑĤ +Ġ×Ķ ׾ +ãģĹãģ¦ ãĤĤ +×ŀר ׼ +×ŀר׼ ×ĸ +éģķ ãģĦ +ãģŁ ãģı +ĠÑģ Ñĥд +в еÑģÑĤи +ĠíķĦ ìļĶ +ãĥķ ãĤ§ +ÑĤелÑĮ но +à¹Ģà¸ŀ ืà¹Īà¸Ńà¸Ļ +ÅĤu ż +à¹Ģà¸Ķิà¸Ļ à¸Ĺาà¸ĩ +ש ×ķר +Ġ×ŀ ×ĵ +×ķ×¢ ׾ +ÙĦ اÙħ +à¹Ħ à¸ĭ +л ей +кÑĥ ÑĢ +Ạ¢ +à¸Ĺ าà¸Ļ +ì§ ij +ĠгоÑĢ од +ר ס +׾ ×ķ×Ĵ +mas ını +Ġл ÑĥÑĩ +ล à¹Īา +ìļ ¸ +ש ×ĺ +ĠÐĺ н +í Ĥ¤ +ÙĪÙĦ ا +ìķ ł +ĠØ£ÙĬ ضا +Ùĥ ار +ĠاÙĦت ع +ส ูà¹Ī +ãĤ ¼ +×ij ×Ļ×IJ +ย à¸ģ +ĠØŃ ÙĤ +ر بÙĬ +ãģĺãĤĥ ãģªãģĦ +รัà¸ģ ษา +Ñħод иÑĤ +à¸ķ à¸Ńà¸ļ +׳ ×ĺ×Ļ +ĠاÙĦÙħ ج +تÙħ ع +ов аÑĤÑĮ +ÙĦ ÙĬÙĨ +×Ļ×ŀ ×ķת +Ġm ù +n ÄĻ +Ġد ÙĬ +׼ ש×Ļ×ķ +Ġhi ç +ë ijIJ +ÙĪ اء +ÙĪ Ø· +ĠاÙĦ بÙĦ +à¹ģม à¹ī +ק ×ķת +ÙĪج د +å§ĭ ãĤģ +ÙĬ ئة +Ġë§ ¤ +ص بØŃ +פ ×IJ +г оÑĢ +ס ×Ķ +بÙĬ ÙĤ +ย าà¸ģ +Ġн ад +ÙĬ Ùij +Ġب ÙĪ +ס ×ķר +Ùħ ÙĥاÙĨ +ר ×ij +×Ĵ ×ĸ +צ ת +b ilit +л аг +ĠN go +×IJ ×ķר +à¸ķ à¸Ļ +íĬ ¹ +à¸Ĺีà¹Ī à¸Ķี +à¸Ľà¸£à¸° à¸Īำ +ов ание +ãģĦ ãģ¤ +ãĥĥãĤ¯ ãĤ¹ +åIJĪ ãĤı +åIJĪãĤı ãģĽ +×Ļ׳ ×ķ×Ļ +ạ y +Ø« ÙĤ +ĠпÑĢ об +ĠпÑĢоб лем +ÅŁ eh +ÅŁeh ir +ع ادة +اÙĨ ÙĪÙĨ +à¸ķัว à¹Ģà¸Ńà¸ĩ +ì¶ ķ +ı lan +б ан +ãĥ³ ãĥī +à¸Ī ี +Ġ×Ķש ׳×Ļ +п оÑĤ +×ķ׾ ×Ļ×Ŀ +ล ัà¸ļ +ĠÑį ÑĤи +×ijק ש +ë¹Ħ ìĬ¤ +à¸Ńยà¹Īาà¸ĩ à¹Ħร +×Ļ׾ ×Ļ +à¹ĥà¸Ĭ à¹Ī +ĠاÙĦ ÙĥÙĦ +ãĥļ ãĥ¼ãĤ¸ +ص Ø© +ÑĤи ÑĢ +ãĤĵ ãģ© +зÑĭ к +wy ż +Ùĩ ÙĬ +ĠÙħ ÙĦÙĬ +Ġвид е +ظ اÙħ +دا ÙĪÙĦ +×ŀ ת×Ļ +Ġs ık +à¹Ģà¸ķิ ม +ãĤ¢ ãĤ¤ +ка Ñħ +צ ×Ļ׾ +à¹Ģà¸Ĭ à¹Īà¸Ļ +м аг +маг аз +магаз ин +à¸Ľ ั +à¸Ľà¸± à¸Ī +Ġש ×Ļר×ķת +ีย ม +ãĥĸ ãĥ« +Ġد ÙĪÙĦ +קר ×Ļ×Ŀ +Ùĩ Ùı +ов о +Ġü ret +د ÙĪÙĨ +à¹ģà¸Ļ ว +à¹Ģà¸Ļ ืà¹īà¸Ń +ĠÑĦ оÑĤ +ãĥ ĺ +ãģ¤ ãģĭ +Ñı Ñģ +ĠíķĺëĤĺ ëĭĺ +ائ ع +Ġп лаÑĤ +ìĺ Ī +Ġdost ÄĻp +ÙĪج Ùĩ +Ġ×Ķ ×Ĺ×Ļ +׳ ×Ļק +д ей +í ĽĦ +ı y +بØŃ Ø± +à¹Ģส ริม +Ġ׾ ×Ĵ +Ø°Ùĩ ب +ج ÙĬÙĦ +رÙĥ ز +Ġë ħ +Ġëħ ¸ +פ×Ļ׾ ×ķ +ãģ¾ ãģļ +iri ÅŁ +ĠÙĥ ÙĬÙģ +Ġ×ij צ +Ġêµ IJ +ÑĢоÑģ Ñģ +ĠØ´ ÙĬ +Ġiç er +×Ĵ ×ķ×ij×Ķ +мен но +×¢ ×ij×Ļר +×ķ×ŀ ×Ķ +ãĤī ãģĹãģĦ +ãģ ¼ +Ñī ин +è²· ãģĦ +جÙħÙĪع Ø© +Ġdön em +Ġ×ij ×IJר +в еÑģÑĤ +×ķר ×ķת +س Ùģ +à¹ģà¸Ĺ à¸Ļ +Ġд окÑĥменÑĤ +Ġا ÙĬ +ج اÙĨ +צ×ķ×¢ ×Ļ +ĠоÑģ об +ĠاÙĦÙħ س +ÑĢаР± +à¸ł ู +à¸Ķ าว +л екÑĤ +ع ÙĤ +×ķ×ĵ ×ķת +Ġol u +Ġolu ÅŁtur +ãģ¾ ãģ¾ +ед ин +à¹Ģ à¸Ńà¸ģ +ãĤµ ãĤ¤ +ëĦ Ī +Ø· ÙĨÙĬ +Ø· ÙĤØ© +ĠÐł аз +ÙĦ Ùij +Ñĩ ем +Ġ׾ ×ĺ +สั à¹Īà¸ĩ +سر ائÙĬÙĦ +Ġפר ×ĺ×Ļ +д еÑģÑĮ +Ġ׳ ׼ +اÙĨ ب +ÙĬا Ø© +Ùħ بر +Ġk ı +à¸Ľ à¸ı +à¸Ľà¸ı ิ +à¸ļั à¸ķิ +׳ ת×Ļ +ìĨ ¡ +ر اب +à¹ĥ à¸ķ +à¹ĥà¸ķ à¹ī +×Ļ׳ ת +ÙĪ ÙĬر +Ġ×Ķ×ŀ ×Ļ +ей ÑĩаÑģ +ק ×ķ×ij +در اس +ĠÙħ ÙĤ +رÙĬ ÙĨ +Ø® اص +ãģĬ éĩij +Ġج دا +ãģĨ ãģ¡ +ëħ ¸ +ır ım +æ§ ĺ +ãģ« å¯ +ãģ«å¯ ¾ +ÑĨ ев +Ġv ard +ĠÐIJ н +e ÄŁ +ÑģÑĤв енно +Ð ¨ +س د +à¸ģ ุ +à¹ģà¸ľ à¸Ļ +รูà¹ī ส +รูà¹īส ึà¸ģ +ات ØŃاد +Ñij ÑĤ +×Ĺ ×ķק +ãģĻ ãģIJ +Ø· ÙĦاÙĤ +Ġק ×ķ×ĵ +à¹ĥà¸Ĭ à¹īà¸ĩ +à¹ĥà¸Ĭà¹īà¸ĩ าà¸Ļ +ãĥ¼ãĤ ¿ +Ġs ür +ÑĢ ок +ë³ ij +สมา à¸Ĭ +สมาà¸Ĭ ิà¸ģ +ãĥķ ãĥ¬ +è¾¼ ãģ¿ +ãĤ» ãĥ³ +Ġê°Ģ ì§Ģ +à¸ľ à¹īา +ÑįÑĤ омÑĥ +иÑĤ ел +à¸ł ั +ภij +ãĥĸ ãĥ© +×Ľ×ª ×ķ×ij +׳ ×Ŀ +ен нÑĭе +×¢ ×¨×Ľ×ª +Ġì Ĥ +ĠìĤ ´ +à¸Ĥ à¹īา +׳ ×ķס +ãĥ¬ ãĥĵ +ÑĢ еÑģ +à¹Ģล à¸Ĥ +Ø« اÙĦ +ìĹ Ĩ +ĠÑĩ аÑģÑĤ +า ศ +ãĥª ãĤ¢ +u ç +×Ļ׼ ×ķת +ล à¹īาà¸Ļ +i ë +ãĤ¸ ãĤ§ +à¸Ī à¸Ń +ÙĪ ØŃد +×Ļצ ×ķ×ij +Ġ×ij ש׾ +ок о +ض Ø© +Ø° ر +ĠÑĥ д +Ä° L +×ķצ ×Ļ×Ŀ +×ĸ ×ŀף +à¸Ľ à¸ģ +íķĻ êµIJ +س اÙħ +à¹Ħ à¸Ķ +ละ à¹Ģà¸Ń +ละà¹Ģà¸Ń ีย +ละà¹Ģà¸Ńีย à¸Ķ +ả y +аÑĨи он +ãĤ¹ ãĤ¯ +פ ×ķס +ร à¹Īาà¸ĩ +ен нÑĭй +ع ÙĨ +عÙĦ ÙĨ +ائ Ùģ +d ÄĻ +ؤ ÙĪÙĦ +׾×ķ ×ķ +Ġ×ij ש×ij +ä»Ĭ åĽŀ +ĠاÙĦج ÙĨ +د اد +wa Äĩ +ãĥª ãĥ³ +ĠìŀIJ ìĭł +اÙĨ ÙĬا +ãĥ¡ ãĥª +ÙĦ ÙĪÙĨ +à¸Ĺ à¹Īà¸Ńà¸ĩ +à¸Ĺà¹Īà¸Ńà¸ĩ à¹Ģà¸Ĺีà¹Īยว +اÙģ ÙĬ +Ġли ÑĪ +Ùħ ÙĬØ© +оÑĤ веÑĤ +Ñĩ ин +à Ĭ +ãĥ¡ ãĥ³ +å® Ł +éļĽ ãģ« +ĠÑĢаР¹ +ãĤ¦ ãĥ³ +×Ļר ×ķש +×Ļר×ķש ׾×Ļ×Ŀ +ม ะ +Ġar a +каз аÑĤÑĮ +à¸ķ ัà¸Ķ +ÑĥÑİ ÑĤ +Ġü st +×Ĵ ×ķ×ij +×Ĵ×ķ×ij ×ķת +mal ı +ег од +егод нÑı +اÙģ ÙĤ +à¸Ĭ à¹Īà¸Ńà¸ĩ +Ġö zellik +×Ļצ ×ķר +Ġmi ÄĻd +Ġili ÅŁ +Ġна Ñħод +×¢ ×ĸר +׾ ×Ľ×ª +ÙĨت اج +ĠÑģ ем +à¸Ī à¹Īาย +à¸ķร ว +à¸ķรว à¸Ī +פר ×ķ +à¸Ĥ ัà¸ļ +ãģ ŀ +Ġп ло +к олÑĮ +×ŀ×¢ ×ĺ +íķĺ ìĭľ +jÄħ ce +ÙĨ اÙĨ +ลี à¸ģ +н ÑĥÑĤ +Ġоб ÑĢаз +Ùĥ بر +ĠاÙĦÙĪ Ø·ÙĨ +ãģķãģĽ ãģ¦ +ÙĤ اء +×ŀ×ĵ ×Ļ׳ +y ü +פ ×Ļת +׳ ×ķף +ÙħÙĨ ظ +หà¸Ļ ัà¸ģ +ìŀ Ī +ãĤ« ãĥ¼ãĥī +ع ÙĨÙĬ +п од +ض اء +à¸Ļ à¸ķà¹Į +×ŀש פ +ว à¹Į +ר ×ķק +ส ืà¹Īà¸Ń +פק ×Ļ×ĵ +ãģªãĤī ãģªãģĦ +ĠìŬ 룬 +ÙĦ ج +Ñī иÑĤ +ãĥĥ ãĤ· +ÙĦÙĬ س +ĠÙĦ Ùħا +ìł ij +×ij ×Ļף +ãĥģ ãĤ§ +Ġgü ç +Ġch ứ +×ķצ ×IJ +קר ×ij +à¹Ĥ à¸ŀ +оÑĩ но +סק ×Ļ +ש׾ ×Ŀ +صر Ùģ +ĠL Ãł +×¢ ×Ļת +á» · +à¹Ĥ à¸Ńà¸ģ +à¹Ĥà¸Ńà¸ģ า +à¹Ĥà¸Ńà¸ģา ส +Ġ×Ķ ×ĵ×ijר +à¸Ļั à¹Īà¸Ļ +ز ر +нак о +íļ į +ãĤĤ ãģ¡ +ãĤĤãģ¡ ãĤį +ãĤĤãģ¡ãĤį ãĤĵ +اÙħ ت +عد اد +и нÑĭ +ÅĤy w +à¸Ħ à¸ĵะ +à¸Ĺ ะ +kt ör +×Ļ×Ĺ ×Ķ +Ġм е +Ġме ÑģÑı +׳×Ķ ×Ĵ +ĠÑģ ÑĥÑīеÑģÑĤв +à¸Ļ ัà¸Ļ +ÑĦ ÑĦ +ек ÑĤив +عÙĦÙĪÙħ ات +б Ñĥд +à¸Ļัà¸ģ à¸ĩาà¸Ļ +หà¸Ļà¹īา à¸Ĺีà¹Ī +ÙĤÙĬ ÙĤ +ãĤ· ãĥ³ +ãģ« éĸ¢ +×IJר ×Ĵ +ĠпÑĢ оÑĤ +ĠпÑĢоÑĤ ив +ĠìŀĪ ìĸ´ +ÙĤÙĬ ÙĤØ© +ìĹ ĩ +k ür +ãģ«ãģªãĤĬ ãģ¾ãģĹãģŁ +Ġде ÑıÑĤ +ĠдеÑıÑĤ елÑĮ +פ×ķר ×ĺ +à¸Ł à¹īา +à¹Ģ à¸ł +ĠавÑĤом аÑĤ +×ĸ ×Ļק +Ġold uk +ع اÙħ +ĠÑĤ оÑĢ +yrı ca +ê Ì +ãĤŃ ãĥ³ãĤ° +ãģ« ãģ¨ãģ£ãģ¦ +à¹Ģà¸ī à¸ŀ +à¹Ģà¸īà¸ŀ าะ +ãģ¯ ãģļ +×ŀ ×IJ×Ļ +สะ à¸Ķ +สะà¸Ķ วà¸ģ +ìľ¼ ë©° +à¸ģ ี +ภ¬ +Ġ×¢ ×ķש +à¸łà¸² ษา +à¸Ĺ ัà¸Ļ +ac akt +acakt ır +اع دة +ĠÑĥÑģл Ñĥг +ס ר×ĺ +×ķ×ŀ ×ķת +×Ķ ×ķר +×ŀ ×ķ×ij +×ŀ×ķ×ij ף +سÙĬ اس +اتÙģ اÙĤ +×Ķ צ׾ +Ùħؤ س +Ġp ó +Ġк ни +×Ļ׼ ×ķ׾ +à¹Ģหล ืà¸Ń +׼׾ ׼ +׳ ×ĸ +ÑĪи е +r ès +ĠاÙĦØŃ ÙĤ +лÑı ÑĢ +ห à¸į +หà¸į ิà¸ĩ +ר×Ĵ ×Ļש +à¹Ģส à¹īà¸Ļ +ש×ij ×ķף +ô tel +ап ÑĢ +апÑĢ имеÑĢ +اب ÙĦ +ĠÑĢаз виÑĤ +Ġп олÑĮз +ĠС еÑĢ +×ķ×ij ×Ļ +r óż +ìĭ Ń +ãĤ¯ ãĥĪ +ãģĹ ãĤĪãģĨ +à¸ģร ม +ØŃ ÙĥÙĪÙħ +à¹Ĥ à¸ļ +à¸Ĺ à¹īาย +ĠM á +ĠÑĤ Ñĭ +à¸Ħร ัว +ÑĢÑĥ б +ạ p +Ġm ÅĤ +ĠmÅĤ od +Ġgör Ã¼ÅŁ +Ġgeli ÅŁ +Æ°Æ¡ i +×ŀש ק +ÙĢÙĢ ÙĢÙĢ +รา ว +ãģĹãģ £ +ãģĹãģ£ ãģĭãĤĬ +ĠÐļ он +Ġk ê +à¹Ĥà¸Ĺ ร +èIJ½ ãģ¡ +åĩº ãģ¦ +ล ัà¸ģษ +Ġ×Ĵ ×ij×ķ×Ķ +ãĥĻ ãĥ« +ê±° ëĤĺ +ë§ IJ +×Ļ׾ ×ĵ×Ļ×Ŀ +ĠëĦ Ī +×ŀר ×Ļ +ร ส +ãĥŃ ãĥ³ +и ло +ноÑģÑĤÑĮ Ñİ +×ĸר ×Ĺ +п он +Ġ×Ķש ׾ +ê²ł ìĬµëĭĪëĭ¤ +Ġki ÅŁ +ĠÐļ и +ว ร +د اع +ÅŁ im +ÙĨ Ùij +в аÑĤ +را Ùĥ +ب اÙĦ +ид е +Ġ×Ķ×ŀ ×Ĺ +ìĸ µ +تÙģ اع +Ø£ ت +ëĬ ĺ +ש ×Ļת +ست Ùħر +ĠÑĦ ак +ĠاÙĦØ£Ùħ رÙĬ +ëŀ ¨ +اس Ùħ +Ġa ÄŁ +Ġç ev +Ùĥ ÙĪر +ãģķ ãģ¾ +Ġç öz +Ġر س +Äħ da +สà¸Ļ ุ +ãģĹãģ¦ ãģıãĤĮ +н Ñİ +leÅŁ me +ãĤª ãĥ³ +ãģ¨ ãģªãĤĬ +ava ÅŁ +×ĺ ×Ļ×ij +ØŃ Ø¶ +×ķצ ×IJ×ķת +ÙĨ ÙħÙĪ +ı t +ĠÑħ а +ĠÑħа ÑĢак +ĠÑħаÑĢак ÑĤеÑĢ +Ġd ÅĤ +ãĥĹ ãĥ© +à¸Ĭ ุม +à¹Ī à¸Ńà¸Ļ +×ķ×ij ׾ +Ñģ ол +×ĵ ×Ĵ +аÑĢ аÑĤ +n ivers +Ġgerçek leÅŁtir +ĠاÙĦ ÙĦÙĬ +ระ ยะ +ĠÙħ ختÙĦÙģ +Ġgö nder +Ùģ ار +do ÄŁ +doÄŁ an +ص ÙĦاØŃ +Ġyay ın +ãĥĨ ãĥ³ +รว à¸Ī +×Ļ×Ĺ ×Ļ×ĵ +ünk ü +ÑĨи алÑĮн +à¸ļ ู +ม ุ +h ä +Ø® Ùģ +å¢ Ĺ +å¢Ĺ ãģĪ +еÑĩ но +ĠاÙĦس ÙĨ +à¸Ĥ าว +im di +Ð « +à¸Ļà¸Ńà¸ģ à¸Īาà¸ģ +à¸ļา ล +ת ש +Ġdüzen le +мÑĭ Ñģл +ãģı ãģª +ż u +Ġwsp óÅĤ +Ġн аз +ınd aki +تر Ø© +ÅŁ ek +Ġö d +ĠÙĪ Ùĥ +Ġпозв олÑı +Ġת ×ķ׼ +ÙħÙĨ تج +ë§ ī +ĠاÙĦØ« ÙĦاث +аÑĨи Ñİ +ÙĪر ÙĪ +Ñĭв аеÑĤ +خص ص +ĠاÙĦÙģ ÙĦ +ĠاÙĦÙģÙĦ سطÙĬÙĨ +Ø¥ جر +إجر اء +اÙĨت Ø® +اÙĨتخ اب +ار ÙĬØ© +×ķ Ö +Ø¢ ÙĨ +×ŀ×¢ ×ķת +Ġм ал +Ġ×IJ ×Ĺ +à¸Ĺ à¹īà¸Ńà¸ĩ +ze ÅĽ +Ġë§Į ëĵ¤ +رÙĬ ع +äºĭ ãĤĴ +à¸ļริ หาร +׾ ×ŀ×Ļ×ĵ +Ġм Ñĥж +ت رÙĪ +ĠباÙĦ Ø¥ +פ ×Ļק +ز ÙħØ© +ĠÃ¶ÄŁ renc +ãĥ ¶ +اÙħ عة +ק×ij ×ķצ +×ŀ ׳×ķת +رÙĬ Ùħ +Ġо каз +ãģłãģij ãģ© +Ġh ız +Ġש ×IJת +ãĤ¢ ãĥ¼ +Ġmożli wo +ìĦ ¼ +ÙĪ اب +ог ÑĢаÑĦ +Ġعبد اÙĦ +ãĤĴ è¡Į +ب ÙĬÙĦ +ĠÄ° ç +ย าย +ĠÑĥ ÑĩаÑģÑĤ +ÑĦ еÑģÑģ +ÑĦеÑģÑģ иона +Ạ¤ +ÙĨ ÙĬÙĨ +عد ÙĦ +สร ร +دÙĬ ÙĦ +×ij ×Ļק +czy ÅĤ +ÑĢом е +Ġм ед +ìĻ Ķ +ãĥ© ãĤ¤ãĥ³ +ĠÑĤ еп +еÑĢ ÑĮ +i ÄŁi +в ели +ÑĢи ÑģÑĤ +ס ×ķפ +×ŀ׾ ×Ĺ +ĠاÙĦØ¥ ÙĨ +Ġ׾×Ķ ש +è¶Ĭ ãģĹ +ĠÑĢ Ñĭ +×ķ×IJ ר +رÙĩ اب +פ ×ķ×IJ×Ļ +ĠгоÑģ Ñĥд +ĠгоÑģÑĥд аÑĢ +ĠгоÑģÑĥдаÑĢ ÑģÑĤв +ĠاÙĦØ£Ùħ ÙĬر +Ùħ ج +à¹Ģหม าะ +ÑĢ ев +à¸Ĭี à¸ŀ +ãĥķ ãĥĪ +иÑĩ но +ĠاÙĦÙħ ؤ +Ġi ht +íħ ľ +د ÙĨÙĬ +ر ص +ла ÑģÑĤ +à¹Ģหล à¹Īา +ılı r +ร à¸ĵà¹Į +×ŀש ×Ļ×ļ +Ġd á»ĭ +Ø·Ùģ اÙĦ +×ĺ ×ķף +Ġ×ij ×Ļ׳ +ãģ¾ ãģ£ãģŁ +лож ениÑı +تØŃ Ø± +ب اØŃ +à¹Ģส ืà¹īà¸Ń +ãģĻ ãģĶ +lt ür +à¸ĩ าม +Ġt ü +ĠпÑĢ им +ĠпÑĢим ен +Ġhay at +ëĥ IJ +ëĭ Į +׳×Ļ ×ķ +вед ен +ìħ ¨ +à¸Ī ัย +à¸ģà¹Ī à¸Ń +Ġв од +оÑģÑĤ оÑı +н аÑĤ +à¹ģ หล +سÙħ ÙĬ +à¸Ķำ à¹Ģà¸Ļ +à¸Ķำà¹Ģà¸Ļ ิà¸Ļ +w ód +ö yle +ãĥĢ ãĤ¤ +ÑĪи й +меÑī ен +ãģĹãģ¾ ãģĨ +ãĥī ãĥ© +ÙĪض ØŃ +à¸Ńà¸Ļ ุ +ĠاÙĦ اجتÙħاع +laÅŁ ma +à¸Ħ à¸Ńà¸Ļ +×ŀר ×Ļ×Ŀ +ÙĨ اÙħج +שר ×ķת +اÙĦ Ø£ +Ġksi Äħż +Ġа н +ÑĢаР¹ +اÙĩر Ø© +×ŀ×ĵ ×Ķ +ä¸Ģ ç· +ä¸Ģç· Ĵ +ä¸Ģç·Ĵ ãģ« +ÑĢиÑĤ оÑĢ +d ıkl +à¹ģ à¸ĸ +à¹ģà¸Ĥ à¹Īà¸ĩ +екÑĤ оÑĢ +×ŀס ×¢ +ÑĢак ÑĤи +u ÄŁu +×ķ×ij ת +สู à¸ķร +ĠçalÄ±ÅŁ m +ĠçalÄ±ÅŁm alar +Ġа на +ãĥĽ ãĥ¼ãĥł +Ġböl üm +Ġب ص +ол оÑģ +ĠìķĬ ëĬĶ +à¹Ī ะ +ÙĪ تر +ä¹ Ĺ +ست خداÙħ +פ×Ļ ×Ļס +פ×Ļ×Ļס ×ij +פ×Ļ×Ļס×ij ×ķק +Ġк ÑĢаÑģ +ли к +رÙĬ ØŃ +×ŀש ׾×Ķ +à¹Ģย ีà¹Īย +à¹Ģยีà¹Īย ม +в иÑģ +ом н +ÄŁ un +ãĥŃ ãĥ¼ãĥ³ +Ø£ تÙĬ +à¸ķร ี +çĶ³ ãģĹ +تÙħ ر +ìĹ ĪìĬµëĭĪëĭ¤ +ĠÙĪ غÙĬر +red ni +ĠاÙĦص Ùģ +Ġна ÑģÑĤоÑı +ĠнаÑģÑĤоÑı Ñī +à¸ķ รา +ĠÑĥÑģл ов +ĠÑĥÑģлов иÑı +ÑĨ еп +×Ķ ×Ĺ׾×ĺ +Ø· ÙĬع +ĠB akan +ĠاÙĦ رÙĪ +илÑĮ но +Ġм еÑĤ +à¸Ķ à¸Ńà¸ģ +ãģĭãĤī ãģªãģĦ +Ġпо ÑģÑĤоÑı +ĠпоÑģÑĤоÑı н +ĠÑĩ аÑģ +ü c +wr ó +б ÑĥÑĢ +ãĥIJ ãĥĥãĤ¯ +ãĥ©ãĥ³ ãĥī +Ġо гÑĢ +สั à¸į +สัà¸į à¸įา +มั à¹Īà¸Ļ +à¸Ħ à¸Ńม +al ık +Ġн ед +üm üz +ĠÅĽ wie +é rio +×Ļ×IJ ×Ķ +دÙħ ات +ı rl +ĠоÑĤ з +ĠоÑĤз Ñĭв +ä»ĺ ãģį +Ġkaż de +мин иÑģÑĤ +ãĤ° ãĥ« +ë° ĸ +ез н +اÙĦ Ùģ +Ġש ק׾ +Ùħ ض +ãĥĿ ãĥ¼ãĥĪ +ÙħÙĨ ت +ÙĤÙĬ اÙħ +Ø´ ÙĨ +×Ļר ×ķ×¢ +ãĤŃãĥ£ ãĥ³ +доÑĢ ов +×ŀ ×Ļת×Ļ +ÙĪÙĦ ÙĪج +Ùĥ اÙģ +ĠÑĢаз лиÑĩ +иÑĤ еÑĤ +н олог +ลà¸ĩ à¸Ĺุà¸Ļ +Ġyak laÅŁ +ãĥ¬ ãĤ¤ +ê²ł ëĭ¤ +æ±Ĥ ãĤģ +رÙĪ Ùģ +Ġí Ĭ +ĠíĬ ¹ +ãģ£ ãģıãĤĬ +à¸Ħวาม à¸Ħิà¸Ķ +×Ķ ×Ļס×ĺ +Ø¥ ÙĤ +ãģ¦ ãģĦ +à¹Ĥ à¸Ĭ +ĠBü yük +ĠФ едеÑĢ +ÑĨи н +ÑĢов а +ĠاÙĦ اÙĤتصاد +Ġch á +à¸ĺ าà¸Ļ +ë¥ ł +à¹Ħ à¸ķ +ÃŃ pio +Ùĭ ا +Ġоб Ñıз +Ùĩ ج +Ġì¤ij ìļĶ +ãģ® ãģ§ãģ¯ãģªãģĦ +بار اة +ãĤ¤ ãĥ« +Ġн оÑĢм +á»ī nh +m ö +mö glich +ÑĨи п +ãĤ¢ ãĤ¯ +×Ķ ×Ļ +ÑĨи алÑĮно +ĠÅĽ wi +ت ÙĤ +ĠÑģÑĤо им +بÙĬ عÙĬ +Ġ׾ ש×ŀ +г лÑı +глÑı д +ãģ¦ ãģıãĤĮ +ÄĻd zi +à¸Ĥ ั +à¸Ĥั à¹īà¸Ļ +Ø· ÙĤ +ĠìĹ Ń +ãģ£ãģ¦ãģĹãģ¾ ãģĨ +ĠdeÄŁer l +ĠdeÄŁerl endir +Ġü lk +Ġмн ог +๠ĭ +ë¿ IJ +ĠУ кÑĢа +ÄŁ ini +Ġбез оп +Ġбезоп аÑģ +à¸Ńà¸Ńà¸ģ à¹ģà¸ļà¸ļ +Ø§Ø ¸ +ØŃد اث +л еÑĢ +×Ļ× ¥ +×Ļ׳×ĺר ׳×ĺ +lar ınız +ØŃÙĬ ØŃ +ż eli +à¸Ń ัà¸ĩ +à¸Ńัà¸ĩ à¸ģ +à¸Ńัà¸ĩà¸ģ ฤษ +ĠоÑĤ лиÑĩ +ั ส +ëŀ į +ож но +ãĤ¹ ãĥĿ +ĠÑħ оÑĩ +Ġк ап +еÑĩ ен +ØŃÙĦ Ø© +ÙĬا Ùĩ +на л +×ķצ ר×Ļ×Ŀ +Ġk ald +åĥ į +ĠاÙĦØ´ خص +Ġз на +Ġwz gl +ż ycz +ê° Ŀ +à¸ŀ ลัà¸ĩ +íģ ¼ +Ġö l +Ġb ụ +Ø´ Ùĩر +Ġз ам +Ġд ев +×Ļ×ĺ ת +تعÙĦ ÙĤ +ÙĪÙħ Ø© +ãĤĴ ä½ľ +ãģį ãģ¦ +í ĥĿ +ras ında +ãĤĴ æİ¢ +ĠÙħ باشر +راج ع +Ġв озд +ÙħØŃ Ø§ +×ķש ר +ĠиÑģÑĤ оÑĢ +ม ัà¸ģ +t ıģ +Ø« ار +تر ÙĨت +à¹ģà¸Ĥ à¹ĩ +à¹ģà¸Ĥà¹ĩ à¸ĩ +п оÑĩ +Ġ×ij ×IJ×ķת +ë¯ Ģ +ëĿ¼ ëıĦ +à¸Ĭ ัà¸Ķ +ส à¸ķà¹Į +ãĥĭ ãĥĥãĤ¯ +ид енÑĤ +Ġг ÑĢÑĥпп +ت Ø® +Ạł +ย ืà¸Ļ +ย ัà¸Ļ +ó ry +T Ãľ +ãģĹ ãĤĥ +ĠпÑĢов ед +лÑı еÑĤ +Ùħ Ø® +ย à¸Ńม +×Ľ×ł×¡ ת +ĠاÙĦÙħ ÙĨت +Ġol mad +ר׼ ×ĸ×Ļ +Ġв ÑģÑĤÑĢ +ĠиÑģ Ñģлед +ÑĤвеÑĢ ж +بد ÙĪ +еÑĢ ÑĤ +ï» · +± ħ +สัม à¸ŀัà¸Ļà¸ĺà¹Į +ิ à¹Īà¸Ļ +צ ×Ļ×ij +wiÄĻ t +Ġì° ¸ +Ġz wiÄħz +سب ÙĪع +ãĥĥ ãĤ° +à¸Ľà¸¥ à¸Ńà¸Ķ +à¸Ľà¸¥à¸Ńà¸Ķ à¸łà¸±à¸¢ +ãĤĤ ãĤĬ +ÙĤد س +Ġspr z +Ġsprz eda +Ġist edi +Ġk hu +Ġд ен +Ġko ÅĦ +Ġ×ij ×Ĺ×Ļ +à¹Ģà¸Ĺ à¹īา +×ķס ×Ļ×£ +ãĥĭ ãĥ¥ãĥ¼ +ĠпÑĢед оÑģÑĤ +ĠпÑĢедоÑģÑĤ ав +à¹Ĥ à¸Ł +é v +ĠاÙĦص ØŃ +صØŃ Ø§Ø¨ +à¹Ģà¸Ī à¹ĩà¸ļ +вл ек +วั à¸ķ +à¸ĸ ุ +ãģĵãģ¨ãģĮãģ§ãģį ãģ¾ãģĻ +ÙĤÙĬ ÙĤÙĬ +×ķ׊ר +Ñĭ ÑĪ +ĠоÑĤ но +ĠоÑĤно ÑĪ +об илÑĮ +Ùģ ØŃ +ı nt +ınt ı +Ġ׾ ×ij×ĵ +í İĺìĿ´ì§Ģ +ãĥĬ ãĥ« +ĠÙħ ساء +×Ļ×ĺ ×ij +ÑĮ еÑĢ +ëĦ · +Ñĭ ÑĤа +ĠоÑĩ еÑĢ +à¸Ķ ืà¹Ī +à¸Ķืà¹Ī ม +ĠN gh +ت عب +ÙĦاÙĤ ات +×ķ׾×ķ×Ĵ ×Ļ×Ķ +ĠìĿ´ ê²ĥ +Ġ×Ķ ×ijר +ìľ µ +à¹Ģà¸Ħล ืà¹Īà¸Ńà¸Ļ +Ùĩ Ø© +à¸Īำ à¹Ģà¸Ľà¹ĩà¸Ļ +å¤ī ãģĪ +wi ÅĽcie +ch od +chod zÄħ +в ÑĢо +×ŀ×Ĺ ×Ļר +Ġy ı +Ġyı ll +ì¡ Į +à¹Ħ หว +ãģªãģı ãģª +Ġзав иÑģ +ĠìĺĪ ìĪĺ +Ùģ Ø° +ủ ng +à¸ŀุ à¸Ĺà¸ĺ +з н +lay an +ãĤ ¡ +à¸ģà¹ĩ à¸ķาม +ĠsaÄŁ lam +ร à¸ĵ +ĠÑģ иÑĤ +ĠÑģиÑĤ Ñĥ +ĠاÙĦت ÙĨ +×Ķ ×ĸ +ĠØ· ÙĪÙĬÙĦ +ta ÅĤ +Ġgö rd +å¤ī ãĤı +ëĥ ¥ +à¸Ħà¹Ī à¸Ńย +×IJ ×ķ×ĺ +ëħ IJ +ãĥ©ãĥ³ ãĤ¹ +วั à¸Ĵ +วัà¸Ĵ à¸Ļ +Ġol uÅŁ +פע ×ķ׾ +Ġszczeg óÅĤ +à¸Ħา สิ +à¸Ħาสิ à¹Ĥà¸Ļ +pow ied +ĠÑĤ еб +หà¸Ļ à¹Īวย +Ġм ил +ØŃ Ùĥ +à¸Ĺ à¸Ķ +ĠмаÑĤ еÑĢиал +ÅĤ ow +à¹Ģà¸ģ ีย +ĠÑģов еÑĢ +ãĤ © +à¸Ľ ริ +Ġи Ñİ +наÑĩ ен +ÑĢен д +mu ÅŁtur +ĠпÑĢод Ñĥк +з д +Ñı ÑĤи +ÑıÑĤи Ñı +à¹Ģม ีย +رات ÙĬج +Ġam acı +ש ×ķ׾ +ש×ķ׾ ×Ĺ +สะ à¸Ńา +สะà¸Ńา à¸Ķ +פ×Ĵ ×¢ +عب Ø© +d ın +íħ Ķ +Ġ×ŀש ×Ĺק +Ġfi yat +Ġз аÑı +ĠзаÑı в +à¹Ĥ หล +à¹Ĥหล à¸Ķ +à¸ģรุà¸ĩ à¹Ģà¸Ĺà¸ŀ +צ×Ļ ×Ļף +ìļ ± +Ùħ ب +Ùħب اد +land ır +Ġв еÑģÑĮ +Ġh ük +ĠÐĴ оз +ÑĩиÑĤ Ñĭва +ว ล +×ķצ ×¢ +à¸Ĥà¸ĵะ à¸Ĺีà¹Ī +ĠaÅŁ aģı +׾×IJ ×ķ×ŀ×Ļ +tr zym +Ã¤ÃŁ ig +owo ÅĽci +ãģĿ ãĤĤ +Ġroz wiÄħz +ĠgÅĤ ówn +м онÑĤ +×ŀ ×ķ×ŀ +ĠÑģÑĤ ан +ÙĦا ÙĤØ© +p rowad +prowad zi +ĠÑģоÑģÑĤ оÑı +×Ļ×IJ ×ķת +r ı +g ı +ãĥij ãĥij +Ġна лиÑĩ +×Ķ צע +Ġ׳ ×Ķ +à¸Ħ ัà¸ļ +ع راض +и ж +Ùĩ ائÙĬ +ãĤī ãģı +ож еÑĤ +Ġоб оÑĢ +ĠобоÑĢ Ñĥд +Ø£ سÙĦ +à¹ĩ à¸Ķ +ÑĢÑĥ ÑĤ +دÙĬ ÙħÙĤ +دÙĬÙħÙĤ را +Ġjest e +×ķ×ķ ×Ļר +×ij×ĵ ×Ļק +деÑĢж ива +ãģĬ ãģı +ewn ÄĻtr +ewnÄĻtr zn +à¸ŀ ฤ +Ġ×IJ ×ķ×Ķ +ת×Ĺ ×ķש +Ġz ob +д Ñĥм +ĠÑģ Ñĭ +ÙĬر ا +ĠwiÄĻ ks +à¹ģà¸ķà¸ģ à¸ķà¹Īาà¸ĩ +lar aras +lararas ı +íĺ Ģ +ëī ´ +×ķ×Ĵ ׾ +ĠоÑĤ меÑĤ +ĠÑĢ ан +ت ÙĥÙĦ +иÑĤелÑĮ н +à¸Ľà¸£à¸° วั +à¸Ľà¸£à¸°à¸§à¸± à¸ķิ +ìŀ ĸ +мож но +pie czeÅĦ +pieczeÅĦ st +ëª » +ìĬ ¨ +×ŀס ×ŀ +á» ¦ +ศ ิ +ศิ ล +ศิล à¸Ľ +ĠÅļ w +ãĥĥ ãĤ·ãĥ§ãĥ³ +unit Ãł +Ġmiesz ka +Ġmieszka ÅĦ +pr zed +przed si +przedsi ÄĻb +przedsiÄĻb ior +à¸Ľà¸£à¸° สิà¸Ĺà¸ĺิ +à¸Ľà¸£à¸°à¸ªà¸´à¸Ĺà¸ĺิ à¸łà¸²à¸ŀ +ย à¹Ī +ìķ Ļ +รว à¸Ķ +รวà¸Ķ à¹Ģรà¹ĩว +å½ĵ ãģŁãĤĬ +äl le +Ñĥ еÑĤÑģÑı +ã n +ëł µ +th è +ãĤĴ åĪ©çĶ¨ +ì µľ +íĵ ¨ +à¸Ĺ ัà¸ļ +า à¸Ħม +ãģ ĩ +ëĤ Į +à¹Ģà¸Ľà¸¥ à¹Īา +â ¦ +ë ¾ +ê Ģ +ê ĩ +â ¡ +ðŁ Ł +ã IJ +â º +á Ń +á Ļ +á ĵ +á ² +ðĵ ı +á ¬ +â ¯ +ä ¨ +ê Ŀ +ê « +ð ij +ðĵ ĥ +ðĿ ħ +< unk + + + +Ġع ÙĦÙī +Ġm á»Ļt +Ġv Ỽi +Ġng Æ°á»Ŀi +ĠØ¥ ÙĦÙī +Ġnh ững +Ġth á»ĥ +Ġ×IJ ×ķ +Ġ×¢ ×Ŀ +ا Ùĭ +Ġ à¹ģละ +ĠÙĦ ا +Ġnh Æ° +ĠاÙĦت ÙĬ +Ġ×Ķ ×ķ×IJ +ĠÄij ến +ĠØ£ ÙĪ +Ġv á»ģ +ĠlÃł m +Ġs ẽ +Ġc Å©ng +Ġ ợ +ĠÄij ó +Ġnhi á»ģu +Ġt ại +Ġtr ên +Ġ×Ĵ ×Ŀ +Ġnh Ãł +Ġ׼ ×Ļ +Ġs á»± +ĠÄij ầu +Ġb á»ĭ +ĠÙĩ ذا +Ġnh ất +Ġph ải +Ġhi á»ĩn +Ġdụ ng +ĠÄij á»Ļng +ĠاÙĦÙĦ Ùĩ +ĠØ Į +ĠÙĥ ÙĦ +Ġvi á»ĩc +Ġn Äĥm +Ġth ì +Ġh á»įc +ĠÙĪ ت +t é +Ġا ÙĨ +Ġt ôi +Ġ×IJ ׳×Ļ +Ġ׾ ×Ļ +Ġ×ŀ ×ķ +Ġng Ãły +Ġn Æ°á»Ľc +Ġ×Ķ ×Ļ×IJ +Ġ×IJ ×Ļ +Ġh Æ¡n +ĠÙĩ Ø°Ùĩ +ĠÙĪ ÙĬ +ĠاÙĦ Ø°ÙĬ +Ġ×ķ ×ŀ +Ġgi á +Ġnh ân +Ġch ÃŃnh +Ġm ình +ĠÐĿ а +Ġth ế +Ġ×Ļ ×ķתר +Ġ×IJ ×Ŀ +Ġn ên +Ġh ợ +Ġhợ p +Ġc òn +ĠÙĩ ÙĪ +Ġc Æ¡ +Ġr ất +ĠVi á»ĩt +Ġب عد +Ġש ×Ļ +Ġth á»Ŀi +Ġc ách +ĠÄij á»ĵng +Ġн о +Ġtr Æ°á»Ŀng +Ø Ł +ĠÄij á»ĭnh +ĠÄiji á»ģu +×Ļ ×Ļ×Ŀ +Ġth á»±c +n ın +Ġh ình +Ġn ói +Ġc ùng +Ġ×Ķ ×Ķ +ĠØ¥ ÙĨ +Ġ×IJ ×ij׾ +Ġnh Æ°ng +Ġbi ết +Ġж е +Ġch úng +ĠÄij ang +ĠØ° ÙĦÙĥ +Ġl ên +Ġkh ách +Ġn Ãło +Ġs á»Ń +Ġkh ác +Ġë° ı +Ġl ý +×Ļ ×Ļ +ĠÄij ây +Ġ׾ ×ŀ +Ġc ần +Ġtr ình +Ġph át +ãģ« ãĤĤ +п о +Ġn Äĥng +Ġb á»Ļ +Ġv ụ +ĠÄij á»Ļ +Ñĩ е +Ġnh áºŃn +Ġtr Æ°á»Ľc +Ġ×¢ ×ĵ +Ġh Ãłnh +ĠØ® ÙĦاÙĦ +Ġl ượng +Ġc ấp +Ġtá» ± +Ġv ì +Ġt Æ° +Ġch ất +Ġ׼ ×ŀ×ķ +Ġg ì +Ġש ׳ +Ġt ế +ת ×ķ +Ġnghi á»ĩp +Ġm ặt +ĠÙĥ Ùħا +Ġ×ij ×Ļף +Ġר ק +Ġth ấy +Ġmá y +ĠÙģ Ùī +Ġd ân +Ġ×IJ ×Ĺ×ĵ +Ġt âm +Ġ׼ ×ļ +Ġ׾ ×ķ +в о +Ġt ác +Ġto Ãłn +ĠÙĪ Ùħ +Ġk ết +Ġ หรืà¸Ń +ĠÙĪاÙĦ Ùħ +ĠÄiji á»ĥm +Ġ×ĸ ×ķ +Ġ×ij ×ķ +׼ ×ķת +Ġh á»Ļi +Ġb ằng +ت Ùĩا +Ġ׼ ×ĵ×Ļ +Ġ×Ķ ×Ŀ +Ġxu ất +ĠÙĤ د +Ġb ảo +Ġt á»ijt +Ġt ình +ĠÙĩ ÙĬ +ĠÄij á»iji +Ġthi ết +Ġhi á»ĩu +Ġti ếp +Ġt ạo +ת ×Ķ +Ġch ủ +o ÅĽÄĩ +Ġgi ú +Ġgiú p +Ġà ½ +Ġqu ả +Ġlo ại +Ġc ô +Ġà ´ +Ġô ng +Ġ×Ķ ×ķ +ĠاÙĦÙĬ ÙĪÙħ +ĠtÃŃ nh +г а +Ġph òng +Ġ Äĥn +Ġع اÙħ +Ġv á»ĭ +lar ını +r ÃŃa +Ġt Ỽi +ĠÄij Æ°á»Ŀng +Ġgi Ỽi +Ġb ản +Ġc ầu +Ġnhi ên +Ġb á»ĩnh +Ġth Æ°á»Ŀng +Ġ×IJ ×Ļף +ĠÄij á»ģ +Ġh á»ĩ +Ġ×Ļש ר×IJ׾ +Ġqu á +ĠÐĹ Ð° +ãģ® ãģ§ãģĻãģĮ +ĠÐŁ ÑĢи +Ġph ần +ĠÙĪ ÙĦا +ĠlỼ n +Ġtr á»ĭ +Ġcả m +Ġм о +Ġd ùng +ĠاÙĦ Ùī +ĠعÙĦÙĬ Ùĩ +ĠìŀĪ ìĬµëĭĪëĭ¤ +ÙĬ ÙĤ +ĠÙĤ بÙĦ +Ġho ặc +ĠØŃ ÙĬØ« +Ġ à¸Ĺีà¹Ī +Ġغ ÙĬر +ĠÄij ại +Ġsá»ij ng +нÑĭ ми +Ġth ức +Ġפ ×Ļ +ĠÄiji á»ĩn +ãģª ãģĭãģ£ãģŁ +Ġgi ải +Ġv ẫn +Ġи Ñħ +Ġö nce +Ġv áºŃy +Ġmu á»ijn +Ġ ảnh +à¹ĥà¸Ļ à¸ģาร +ĠQu á»ijc +Ġk ế +׳ ×IJ +Ġס ×Ļ +Ġy êu +ãģ® ãģĭ +ĠÄij ẹ +ĠÄijẹ p +Ġch ức +Ġy ıl +ĠTür kiye +d é +ĠÙĤ اÙĦ +Ġd á»ĭch +ĠolduÄŁ u +Ġch á»įn +Ġت Ùħ +หà¸Ļ ึà¹Īà¸ĩ +ãģķãĤĮ ãģŁ +Ġph áp +ìĽ Ķ +Ġti á»ģn +ãģĹ ãģ¾ãģĹãģŁ +Ġש ׾×IJ +ÙĦ Ø© +Ġ׾פ ׳×Ļ +Ġ×ij ×Ļת +ĠH Ãł +ĠØŃ Øª +ĠØŃت Ùī +Ġ×¢ ×ķ×ĵ +Ġn ó +Ġth áng +à¹Ģลืà¸Ń à¸ģ +ר ×Ķ +Ġt Äĥng +Ġcá i +Ġtri á»ĥn +Ġ×IJ×ķת ×ķ +ìłģ ìĿ¸ +ĠC ông +Ġ׾×Ķ ×Ļ×ķת +Ġг ода +и Ñİ +Ġب عض +Ġ à¸ģาร +èī¯ ãģĦ +ÙĪ ت +Ġli ên +ĠÐĿ о +ĠÐĿ е +çļĦ ãģª +ĠÙħ ت +ĠÑĤак же +ĠкоÑĤоÑĢ Ñĭе +Ġ×Ļ ×ĵ×Ļ +Ġtr á»įng +ãĤµ ãĤ¤ãĥĪ +ìłģ ìľ¼ë¡ľ +Ġt áºŃp +Ġש ׾×Ļ +íķĺ ê²Į +Ġt Ãłi +ĠÐ ¯ +Ġr á»ĵi +ا Ùĥ +Ġth Æ°Æ¡ng +Ġ×Ķ ×ĸ×Ķ +ĠÙĪ ÙħÙĨ +à¸Ĺีà¹Ī มี +Ġcu á»Ļc +Ġbü yük +ãģ¨ ãģĭ +Ġ×ij ×Ļ×ķתר +Ġl ần +Ġgö re +Ġtr ợ +Ġ×ĺ ×ķ×ij +ÑĤÑĮ ÑģÑı +Ġth á»ijng +Ġ׼ ש +Ġti êu +Ġ×ŀ×IJ ×ķ×ĵ +Ø Ľ +k Äħ +Ġ à¹ĥà¸Ļ +Ġv ấn +Ġש ׾×ķ +ĠÄij á»ģu +Ùģ ت +Ġê²ĥ ìĿ´ +Ġh óa +ĠاÙĦع اÙħ +ĠÙĬ ÙĪÙħ +к ой +Ġbi á»ĩt +ÑģÑĤ о +Ġ×Ķ ×Ļ×ķ +à¸Ĺีà¹Ī à¸Īะ +Ġ×ĵ ×Ļ +Ġ×IJ ×ļ +Ġá n +ص ÙĪر +Ġtr ÃŃ +ĠÐŁÑĢ о +Ġl á»±c +ãģĹãģ¦ ãģĦãģ¾ãģĻ +Ġb Ãłi +Ġ×ĸ ×IJת +Ġb áo +à¸ļ à¸Ļ +ĠëĮĢ íķľ +Ġti ế +Ġtiế ng +Ġb ên +ãģķãĤĮ ãĤĭ +s ión +Ġt ìm +×¢ ×ķ +m é +ни Ñı +ãģ» ãģ© +Ġà¹Ģà¸ŀ ราะ +ب Ø© +Ġë¶ Ħ +Ġ×IJ ×ĸ +à¸Ĺ à¹Īาà¸Ļ +ת ×Ŀ +Ġth êm +Ġho ạt +y ı +×ĸ ×ķ +Ġgi á»Ŀ +Ġb án +à¸Ĥ าย +Ñĩ а +Ġ à¹Ĩ +ĠاÙĦÙħ ت +ĠоÑĩ енÑĮ +Ġb ất +Ġtr ẻ +ÑĤ ÑĢ +ĠØ£ ÙĨÙĩ +ĠØ« Ùħ +Ġ׼ ×ŀ×Ķ +Ġkh ó +Ġr ằng +ĠÙĪ ÙģÙĬ +ни й +Ġho Ãłn +t ó +Ġ×IJ שר +ĠìĥĿ ê°ģ +Ñģ а +Ġ׼ ×ijר +ĠÑįÑĤ ом +lar ının +Ġch Æ°a +з и +Ġd ẫn +ĠÐļ ак +ج ÙĪ +ĠбÑĭ ло +ĠÙĬ ت +n ı +ÅĤ am +ĠÙĪÙĩ ÙĪ +×ij ×ķ +п и +ר ת +Ġqu á»ijc +ж д +ĠÄij Æ¡n +Ùĥت ب +Ġm ắt +ระ à¸ļ +ระà¸ļ à¸ļ +ĠÙĥ اÙĨت +Ġth ân +สิà¸Ļ à¸Ħà¹īา +×Ĵ ×Ļ +Ġph Æ°Æ¡ng +à¹Ħมà¹Ī à¹Ħà¸Ķà¹ī +ĠìĦ ± +ĠC ác +Ġ×Ķ×ŀ ×ķ +ĠÑĤ ем +Ġ×ĵ ×ķ +à¸Ńะ à¹Ħร +Ġv Äĥn +ãģª ãģ®ãģ§ +ĠN á»Ļi +Ġ×¢ ×ķ +ãĤīãĤĮ ãĤĭ +Ġs áng +Ġgö ster +ãģĵãģ¨ ãĤĴ +Ġtaraf ından +Ġм а +ĠпоÑģл е +Ġ׳ ×Ļת +Ġ׳×Ļת ף +Ġл еÑĤ +Ġ׾ ׳×ķ +Ñģ Ñģ +Ġ×Ļ ×ķ +п е +ĠÙĪ ÙĦÙĥ +ĠÙĪÙĦÙĥ ÙĨ +Ġngo Ãłi +ĠÄij á»ĭa +r zÄħd +dz iaÅĤ +ĠÙħ ر +иÑĤÑĮ ÑģÑı +Ġ×IJ×Ĺר ×Ļ +Ġ׾ ׼׾ +à¸Ĥ à¹īà¸Ńม +à¸Ĥà¹īà¸Ńม ูล +Ġб ол +Ġбол ее +جÙħ ع +л еÑĤ +Ġl á»ĭch +ĠÙħ Ø«ÙĦ +Ġ그리 ê³ł +Ġth ứ +ĠdeÄŁ il +ÙĪ ØŃ +Ġש׾ ×ļ +ĠÙħ ØŃÙħد +Ġn ếu +ĠÄij á»ķi +Ġv ừa +Ġm á»įi +Ġо ни +Ġl úc +ĠÙĬ ÙĥÙĪÙĨ +ì§ Ī +Ġש׾ ׳×ķ +ĠÐĶ о +Ġש ׳×Ļ +ล ิ +×IJ פשר +Ġs ức +ê¶ Į +Ġ ứng +à¹Ħมà¹Ī มี +Ø·ÙĦ ب +ĠÑĩ ем +Ġch uyên +Ġth ÃŃch +Ġ×ķ ×Ļ +íķ © +ĠÙħ صر +д о +ĠÄij ất +Ġch ế +à¸Ĭ ืà¹Īà¸Ń +Ġìĭ ł +ĠØ¥ ذا +Ġر ئÙĬس +Ġש ×Ļש +Ġgiả m +Ñģ ка +lar ında +Ġs ợ +ĠtÃŃ ch +ĠÙĦ ÙĥÙĨ +Ġب Ùħ +×¢ ×ķ×ij +×¢×ķ×ij ×ĵ +ÅĤÄħ cz +ları na +Ġש ×Ŀ +ĠÙĦ ت +Ġש×Ķ ×ķ×IJ +t ów +Ġëĭ¤ 른 +ĠØ£ Ùĥثر +ãģ® ãģ§ãģĻ +׼ ×Ļ×Ŀ +ĠolduÄŁ unu +ãģĭ ãģª +ãĤĤ ãģĨ +ÙĬ ØŃ +Ġnh ìn +Ġngh á»ĩ +ãģ«ãģª ãģ£ãģ¦ +п а +Ġquy ết +ÙĦ ÙĤ +t á +Ġlu ôn +ĠÄij ặc +Ġ×IJ ר +Ġtu á»ķi +s ão +ìĻ ¸ +ر د +ĠبÙĩ ا +Ġ×Ķ×Ļ ×ķ×Ŀ +×ķ ×ķ×Ļ +ãģ§ãģĻ ãģŃ +ĠÑĤ ого +Ġth ủ +ãģĹãģŁ ãģĦ +ر ÙĤ +Ġb ắt +г Ñĥ +Ġtá» Ń +ÑĪ а +Ġ à¸Ľà¸µ +Ġ×Ķ×IJ ×Ŀ +íı ¬ +ż a +Ġ×IJת ×Ķ +Ġn á»Ļi +Ġph ÃŃ +ĠÅŁek ilde +Ġl á»Ŀi +d ıģı +Ġ׼×IJ ף +Ġt üm +Ġm ạnh +ĠM ỹ +ãģĿ ãĤĵãģª +Ġnh á»ı +ãģª ãģĮãĤī +Ġb ình +ı p +à¸ŀ า +ĠÄij ánh +ĠÙĪ ÙĦ +ר ×ķת +Ġ×IJ ×Ļ×ļ +Ġch uyá»ĥn +Ùĥ ا +ãĤĮ ãĤĭ +à¹ģม à¹Ī +ãĤĪ ãģı +ĠÙĪ ÙĤد +íĸ Īëĭ¤ +Ġn Æ¡i +ãģ«ãĤĪ ãģ£ãģ¦ +Ġvi ết +Ġà¹Ģà¸ŀ ืà¹Īà¸Ń +ëIJĺ ëĬĶ +اد ÙĬ +ĠÙģ Ø¥ÙĨ +ì¦ Ŀ +ĠÄij ặt +Ġh Æ°á»Ľng +Ġx ã +Ġönem li +ãģł ãģ¨ +Ġm ẹ +Ġ×ij ×Ļ +Ġ×ĵ ×ijר +Ġv áºŃt +ĠÄij ạo +Ġdá»± ng +ĠÑĤ ом +ĠÙģÙĬ Ùĩا +Ġج ÙħÙĬع +Ġthu áºŃt +st ÄĻp +Ġti ết +Ø´ ÙĬ +Ġе Ñīе +ãģĻãĤĭ ãģ¨ +ĠmÃł u +ĠÑįÑĤ ого +Ġv ô +ĠÐŃ ÑĤо +Ġth áºŃt +Ġn ữa +Ġbi ến +Ġn ữ +Ġ׾ ׼×Ŀ +×Ļ ×Ļף +Ġس ت +ĠÐŀ ÑĤ +Ġph ụ +ê¹Į ì§Ģ +Ġ׾ ×ļ +Ġk ỳ +à¹ĥ à¸Ħร +Ġg ây +ĠÙĦ ÙĦÙħ +Ġtụ c +ت ÙĬÙĨ +Ġtr ợ +Ġ׾ פ×Ļ +Ġb á»ij +ĠÐļ а +ĠÄij ình +ow Äħ +s ında +Ġkhi ến +s ız +Ġк огда +ס ׾ +ĠбÑĭ л +à¸Ļ à¹īà¸Ńย +обÑĢаР· +Ġê²ĥ ìĿ´ëĭ¤ +ëĵ¤ ìĿĢ +ãģ¸ ãģ® +Ġà¹Ģม ืà¹Īà¸Ń +Ġph ục +Ġ׊׾ק +Ġh ết +ĠÄij a +à¹Ģà¸Ķà¹ĩ à¸ģ +íĺ ķ +l ÃŃ +ê¸ ī +Ġع دد +ĠÄij á»ĵ +Ġg ần +Ġ×Ļ ×ķ×Ŀ +Ġs Ä© +ÑĢ Ñıд +Ġquy á»ģn +Ġ×IJ ׾×IJ +Ùĩ Ùħا +׳ ×Ļ×Ķ +׾ ×ķת +Ġ×Ķר ×ij×Ķ +Ġti ên +Ġal ın +Ġd á»ħ +人 ãģĮ +но Ñģ +л ÑģÑı +ĠÄij Æ°a +ส าว +иÑĢов ан +Ġ×ŀס פר +×Ĵ ף +Ġki ến +ĠÐ ¨ +p é +б Ñĥ +ов ой +б а +ĠØ¥ ÙĦا +×IJ ׾×Ļ +Ġx ây +Ġb ợi +Ġש ×ķ +人 ãģ® +ק ×Ļ×Ŀ +à¹Ģà¸Ķ ืà¸Ńà¸Ļ +Ġkh á +Ġ×ķ ׾×Ķ +×ĵ ×ķת +Ġ×¢ ×ij×ķר +Ġبش ÙĥÙĦ +ĠÙĩÙĨا Ùĥ +ÑĤ ÑĢа +Ġ íķĺëĬĶ +ร à¸Ńà¸ļ +owa ÅĤ +h é +Ġdi á»ħn +Ġ×Ķ ׼׾ +ĠØ£ س +Ġch uyá»ĩn +ระ à¸Ķัà¸ļ +ĠNh ững +Ġ×IJ ×Ĺת +ĠØŃ ÙĪÙĦ +л ов +׳ ר +Ġ×ķ ׳ +Ġch Æ¡i +Ġiç inde +ÑģÑĤв Ñĥ +Ġph á»ij +ĠÑģ Ñĥ +ç§ģ ãģ¯ +Ġch ứng +Ġv á»±c +à¹ģ à¸Ń +Ġl áºŃp +Ġtừ ng +å°ij ãģĹ +ĠNg uy +ĠNguy á»ħn +ĠÙģÙĬ Ùĩ +Ġб а +×Ļ ×Ļת +Ġ×ľ×¢ ש×ķת +Ġ×ŀ ׼ +Ġnghi á»ĩm +Ġм ного +Ġе е +ëIJĺ ìĸ´ +Ġl ợi +Ġ׾ ׾×IJ +Ġ׼ ף +Ġch ÃŃ +ãģ§ ãģ® +×Ĺ ×ķ +ש ×ķ×Ŀ +Ġ×ŀ ר +ĠÐĶ лÑı +Å ģ +Ġ׼×IJ שר +ĠM á»Ļt +ĠÙĪاÙĦ ت +ĠìĿ´ 룰 +ÅŁ a +Ġchi ến +Ġaras ında +Ġ×ij ×IJתר +ãģķãĤĮ ãģ¦ãģĦãĤĭ +Ø´ ÙĥÙĦ +Ġt ượng +Ġت ت +ĠC ó +Ġb á»ı +Ġtá»ī nh +Ġkh ÃŃ +ĠпÑĢ оÑģÑĤ +ĠпÑĢоÑģÑĤ о +ĠÙĪ ÙĤاÙĦ +Ġgi áo +ĠN ếu +×IJ ×ŀר +×¢×ł×Ļ ×Ļף +íİ ¸ +Ùĩد Ùģ +ĠB á»Ļ +Ġb Ãłn +Ġng uyên +Ġgü zel +ส าย +ì² ľ +×ŀ ×ķר +Ġph ân +ס פק +ק ×ij׾ +ĠاÙĦÙħ تØŃ +ĠاÙĦÙħتØŃ Ø¯Ø© +ائ د +Ġ×IJ ×ŀר +Ġki ÅŁi +ì¤ Ģ +Ġtr uyá»ģn +ĠÙĦ Ùĩا +ĠÐľ а +à¸ļริ ษ +à¸ļริษ ั +à¸ļริษั à¸Ĺ +Ġש ׳×Ļ×Ŀ +Ġмен Ñı +ÅŁ e +Ġdi á»ĩn +Ġ×IJ׳ ×Ĺ׳×ķ +k ü +Ġc á»ķ +Ġm á»Ĺi +w ä +Ùħ ÙĬ +Ġhi á»ĥu +ëĭ ¬ +Ġ×Ķ ×Ĺ׾ +Ġt ên +Ġki á»ĩn +ÙĨ ÙĤÙĦ +Ġv á»ĩ +×ĵ ת +ĠÐłÐ¾ÑģÑģ ии +л Ñĥ +ĠاÙĦع ربÙĬØ© +ĠØ· رÙĬÙĤ +Ġ×Ķ×ij ×Ļת +Ñģ еÑĢ +Ġм не +ä u +Ġtri á»ĩu +ĠÄij ủ +Ġר ×ij +ت ÙĩÙħ +à¸ĭ ี +Ġì§Ģ ê¸Ī +li ÅĽmy +د عÙħ +ãģł ãĤįãģĨ +Ñģки е +Ġh á»ıi +Ġק ×ķ +ÑĢÑĥ Ñģ +ÙĨ ظر +ãģ® ãĤĤ +Ġ×Ķ ׼×Ļ +ĠìĽ IJ +ÙĪ Ùĩ +ĠÙĪ Ùİ +ĠB ạn +п лаÑĤ +Ġ×ŀ ×ŀש +лÑİ Ð± +ĠнÑĥж но +Ġth Æ° +ãģ µ +ãģı ãĤīãģĦ +ر Ø´ +ר ×ķ×Ĺ +ĠÙĬ تÙħ +Ġצר ×Ļ×ļ +Ġph á +ม à¸Ńà¸ĩ +Ġ×ij×IJ ×ķפף +Ġcả nh +Ġíķľ ëĭ¤ +Ġ×Ķ×ŀ ת +à¸ķà¹Īาà¸ĩ à¹Ĩ +มี à¸ģาร +Ñģки Ñħ +ĠÐĴ Ñģе +Ġا ÙĪ +ج ÙĬ +ãģĵãģ¨ ãģ¯ +Ġd Ãłi +Ġh á»ĵ +èĩªåĪĨ ãģ® +à¹Ħ หà¸Ļ +ëĵ¤ ìĿĦ +ĠV Äĥn +Ġд аж +Ġдаж е +Ñĭ ми +лаÑģ ÑĮ +ÙĬ ÙĪÙĨ +ÙĨ ÙĪ +c ó +ãģĹãģ¦ ãģĦãģŁ +ãģł ãģĭãĤī +طاÙĦ ب +Ġc á»Ńa +п ÑĢоÑģ +ãģªãģ© ãģ® +รุ à¹Īà¸Ļ +Ġchi ếc +л Ñĭ +ĠÑıвлÑı еÑĤÑģÑı +Ġn á»ķi +ãģ® ãģĬ +Ġ×IJת ×Ŀ +ĠëķĮ문 ìĹIJ +à¸ģล าà¸ĩ +ĠbaÅŁ ka +ìĦ Ŀ +ĠÑĨ ел +Ùģ ÙĤ +ãģ«ãĤĪ ãĤĭ +ÙĤ ا +Ġçı kar +Ġcứ u +Ø· ا +Ġש ת +à¹Ĥ à¸Ħ +Ġ×ŀ ׾ +Ġ×Ķ פר +Ġг де +ĠØ® Ø· +åīį ãģ« +c jÄĻ +Ġ׊ש×ķ×ij +ר×Ĵ ×¢ +Ġkho ảng +ĠÄij á»Ŀi +ĠÐł е +Ġо на +Ġ×IJ ׳×ķ +ãģ® ãģ« +ĠاÙĦØ° ÙĬÙĨ +кÑĥ п +ãĤµ ãĥ¼ãĥ +ãĤµãĥ¼ãĥ ĵ +ãĤµãĥ¼ãĥĵ ãĤ¹ +в ал +г е +Ġgi ữa +ĠKh ông +ĠâĹ ĭ +à¸ģล ุà¹Īม +ĠÙħÙĨ Ø° +à¸Ń à¹Īาà¸Ļ +ĠÑģп оÑģоб +ĠÄij á»Ļi +Ġdi ÄŁer +Ġ à¸ĸà¹īา +Ùħ Ø«ÙĦ +Ġ×Ķ×IJ ×Ļ +Ġد ÙĪÙĨ +ÙĬر اÙĨ +Ñī и +بÙĨ اء +ĠØ¢ خر +ظ Ùĩر +Ġ×ij ׼ +ĠاÙĦÙħ ع +ãĥ Ĵ +Ġt ất +Ġm ục +ĠdoÄŁ ru +ãģŁ ãĤī +Ġס ×ķ +Ġx ác +ร à¸Ń +ĠcÄĥ n +Ġон л +Ġонл айн +Ġk ý +Ġch ân +Ġ à¹Ħมà¹Ī +اØŃ Ø© +r án +׳×Ļ ×Ļ×Ŀ +Ġ×ij ף +ĠÐ ĸ +à¸ķร à¸ĩ +д Ñĭ +Ġs ắc +ÙĦ ت +ãĥŃ ãĥ¼ +ĠÙĦ ÙĨ +Ġר ×ķ +Ġd Æ°á»Ľi +à¹Ģ à¸ĺ +à¹Ģà¸ĺ à¸Ń +e ÄŁi +Ġ×ķ ש +ĠÙĦ Ø£ +Ġg ặp +Ġc á»ij +ãģ¨ ãģ¦ãĤĤ +رÙĪ س +Ġ׾×Ķ ×Ļ +Ġë³ ¸ +ä¸Ĭ ãģĴ +Ġm ức +Ñħ а +Ġìŀ ¬ +à¸ī ัà¸Ļ +ÑĢÑĥ ж +Ġaç ık +ÙĪ اÙĦ +Ġ×ĸ ×ŀף +人 ãģ¯ +ع ÙĬÙĨ +Ñı Ñħ +Ġ×Ĵ×ĵ ×ķ׾ +ר ×ķ×ij +g ó +ëĿ¼ ê³ł +Ġark adaÅŁ +ÙĨ شر +Ġгод Ñĥ +ĠболÑĮ ÑĪе +ãģ¡ãĤĩ ãģ£ãģ¨ +Ġcâ u +Ġs át +íĶ ¼ +Ġti ến +íķ´ ìķ¼ +ĠÙĪ Ø£ÙĨ +à¸Ļ าà¸Ļ +Ġ×ij×IJ×ŀ צע +Ġ×ij×IJ×ŀצע ×ķת +Ġ׾ ר +Ġqu ản +ĠÙĪاÙĦ Ø£ +Ġ×IJ×ķת ×Ķ +Ġìĸ´ëĸ ¤ +Ġê²ĥ ìĿĢ +ØŃس ÙĨ +Ġm ất +à¸Ħ ูà¹Ī +ãĥ¬ ãĥ¼ +ĠÐĶ а +Ġol ması +Ġthu á»Ļc +׳ ×Ĺ +íĨ ł +Ġsö yle +ãģĿãģĨ ãģ§ãģĻ +Ġت ÙĥÙĪÙĨ +л ÑĥÑĩ +׾ ×Ļ×ļ +ĠØ£ ØŃد +ли ÑģÑĮ +ĠвÑģ его +Ġ×Ķר ×ij +Ġëª » +o ÄŁ +oÄŁ lu +ĠìĦ ł +Ġк аÑĢ +à¸łà¸² à¸Ħ +e ÅĦ +Ġ à¸ģà¹ĩ +Ġa ynı +Ġb Ãł +ãģªãĤĵ ãģ¦ +Ġ모 ëĵł +ÙĤر ار +ãģĹãģª ãģĦ +ĠÐĴ о +ĠÙĪÙĩ ÙĬ +ни ки +ãĤĮ ãģŁ +Ġchu ẩn +ר ×¢ +Ùģ رÙĬÙĤ +ãĤĴ åıĹãģij +ĠÄij úng +б е +׼ ×ķ×Ĺ +п Ñĥ +Ġ×ķ ×Ĵ×Ŀ +×ŀ ׳×Ļ +íĸ ¥ +צ ×Ļ×Ŀ +à¸ĭ ิ +Ùĩ ÙĨ +н ем +Ġ×ij×ij ×Ļת +ر ع +Ġ ส +ĠÄIJ Ãł +íķĺ ëĭ¤ +Ġ ấy +×Ĺ ×ķ×ĵ +×Ĺ×ķ×ĵ ש +ĠÑĩеÑĢ ез +Ñĥ л +ĠB ình +Ġê²ĥ ìĿĦ +Ġ×Ĵ ר +ä»ĺ ãģij +×Ĺ׾ ק +Ġت ÙĦÙĥ +à¹ĥส à¹Ī +sz Äħ +ÙĤ اÙħ +د ÙĪر +ĠÙģ ÙĤØ· +Ġh ữu +Ġмог ÑĥÑĤ +Ġg á»įi +Ġק ר +à¸Īะ มี +ت ÙĤدÙħ +Ġع بر +Ġ׾×Ķ ×Ŀ +ĠÑģам о +ס ×ĵר +Ġc Ãłng +r ÃŃ +Ġìŀ ¥ +ëĵ¤ ìĿĺ +ĠÙĦ Ùĥ +п оÑĢÑĤ +Ġkh ả +ĠÑģеб Ñı +׳ ף +Ġد ÙĪر +Ġm ợ +Ġcâ y +Ġf ark +Ġfark lı +а ÑİÑĤ +Ġtr á»±c +wiÄĻks z +Ġthu á»ijc +Ġت ØŃت +ت ÙĦ +ов Ñĭе +ëĤ ł +Ġв ам +بÙĦ غ +Ġê°Ļ ìĿĢ +íĮ IJ +ÙĦ ب +Ġnas ıl +Ġод ин +м ан +ĠعÙĦÙĬ Ùĩا +б и +Ġפ ש×ķ×ĺ +×ijר ×Ļ +Ġש ׳×Ķ +Ġëı Ħ +ĠÄIJ ại +Ġ×IJ×ķת ×Ŀ +ĠاÙĦØŃ Ø± +Ġб о +à¸Ī ุà¸Ķ +Ġr õ +ĠdeÄŁi ÅŁ +Ġëĭ ¨ +ĠÑģлÑĥÑĩ а +ĠÑģлÑĥÑĩа е +Ġ×IJ׳ ש×Ļ×Ŀ +×ĵ ×£ +ש×ij ת +Ġש׾ ׼×Ŀ +Ġch ú +nik ów +Ġtan ı +Ġcá o +ĠÄij á +Ġ×IJ ×ĵ×Ŀ +Ġê° ķ +Ġnhi á»ĩm +Ġ׾ ס +Ġ×Ľ×ª ×ij +Ġ×Ķס פר +ĠÄij Äĥng +Ġë ijIJ +à¸ľ ิ +à¸ľà¸´ ว +ج ا +Ġê° IJ +ر Ø£ +ست خدÙħ +ãģ«ãģªãĤĬ ãģ¾ãģĻ +Ġtá» · +×ĺ ×ķר +г овоÑĢ +Ġв оÑģ +ĠÙħÙĨ Ùĩا +иÑĢов аÑĤÑĮ +ĠÄij ầy +׳ ×Ĵ +ĠÙħ ÙĪ +ĠÙħ ÙĪÙĤع +ר׼ ×Ļ +ت Ùı +ëª ¨ +Ġת ×ķ +ÙĬا Ùĭ +à¹ĥ à¸Ķ +ãĤĬ ãģ¾ãģĻ +à¸Ńยูà¹Ī à¹ĥà¸Ļ +ĠØ£ ÙĪÙĦ +ĠØ£ خرÙī +Ġc Æ° +ص ار +×ŀ׊ש×ij +б ÑĢа +ÅĦ ski +б ÑĢ +ĠÙĬ Ùı +à¸ģ ิà¸Ļ +Ġch á»ijng +Ùħ Ùı +Ġ à¸Ħืà¸Ń +Ġت ÙĨ +t ÃŃ +y Äĩ +Ġm ạng +Ùģ ÙĪ +Ġdü nya +ק ר×IJ +Ġק ׾ +ĠØŃ Ø§ÙĦ +c ÃŃa +Ġà¹Ģ รา +Ġר ×ķצ×Ķ +Ġá p +ë° ķ +ا ÙĤØ© +ни Ñİ +Ġ×IJ ׾×ķ +Ġ×ŀס ×ķ +ãģ§ãģ¯ ãģªãģı +Ġtr ả +Ġק שר +mi ÅŁtir +Ġl Æ°u +Ġh á»Ĺ +ĠбÑĭ ли +Ġl ấy +عÙĦ Ùħ +Ġö zel +æ°Ĺ ãģĮ +Ġ×ĵ ר×ļ +Ùħ د +s ını +׳ ×ķש×IJ +r ów +Ñĩ еÑĢ +êµIJ ìľ¡ +ĠÐľ о +л ег +ĠV Ỽi +วัà¸Ļ à¸Ļีà¹ī +ÑİÑī ие +ãģĬ ãģĻ +ãģĬãģĻ ãģĻ +ãģĬãģĻãģĻ ãĤģ +ëı ħ +Ġ×Ļ×Ķ ×Ļ×Ķ +×ŀ ×ĺר +Ñı ми +Ġl á»±a +ĠÄij ấu +à¹Ģส ียà¸ĩ +Ġt Æ°Æ¡ng +ëĵ ± +ĠÑģÑĤ аÑĢ +à¹ĥ à¸ļ +ว ัà¸Ķ +ĠÄ° stanbul +Ġ à¸Īะ +à¸ķ ลาà¸Ķ +Ġب ÙĬ +à¹ģà¸Ļ ะ +à¹ģà¸Ļะ à¸Ļำ +س اعد +Ġب Ø£ +Ġki á»ĥm +ØŃ Ø³Ø¨ +à¸Ĭั à¹īà¸Ļ +Ġ×ķ ×¢×ķ×ĵ +ов ÑĭÑħ +оÑģ нов +Ġtr Æ°á»Łng +צ ×ij×¢ +ĠÃŃ t +Ġk ỹ +cr é +Ñı м +êµ ° +ãģĮ ãģªãģĦ +ÙĬÙĦ Ø© +ãĥķ ãĤ£ +ر Ùī +ĠÙĬ جب +Ġ×IJ ×£ +Ġc á»±c +ãĤīãĤĮ ãģŁ +Ġ à¸ľà¸¹à¹ī +Ġ à¸Ń +lar ımız +Ġkad ın +Ġê·¸ ëŀĺ +Ġê·¸ëŀĺ ìĦľ +ĠëĺIJ ëĬĶ +ĠÄij ả +ĠÄijả m +Ġ×IJ ×ķ×ŀר +Ġy ếu +ci Äħ +ciÄħ g +Ġt á»ij +Ġש×IJ ׳×Ļ +Ġdz iaÅĤa +Ñī а +ĠÄij Ãłn +s ına +ãģĵãĤĮ ãģ¯ +Ġ×ij ׾×Ļ +Ġ×ij ×Ļשר×IJ׾ +л оÑģÑĮ +Ġgi ữ +ê° IJ +ÑĢ он +تج ار +г лав +в ин +Ġh ạn +Ġyapı lan +ب س +Ġ à¸ŀรà¹īà¸Ńม +ê´Ģ 리 +mÄ±ÅŁ tır +b ü +r ück +ĠBaÅŁkan ı +ĠÙĦ ÙĬس +Ġs Æ¡ +à¸Īัà¸ĩ หว +à¸Īัà¸ĩหว ัà¸Ķ +د اء +Ġ×Ķ ׼ +v ÃŃ +ש ×IJר +Ġh Æ°á»Łng +Ġb óng +ĠCh ÃŃnh +Äħ c +à¹Ģà¸ģีà¹Īยว à¸ģัà¸ļ +Ġtá» © +Ġtứ c +ĠÑĨ веÑĤ +Ġt á»iji +ĠnghÄ© a +ÙĦا عب +د ÙĦ +Ġפע ×Ŀ +h ör +à¸Ĭ ุà¸Ķ +à¸ŀ ู +à¸ŀู à¸Ķ +п аÑģ +ĠÅŁ u +Ġt Æ°á»Łng +خار ج +Ġâ m +ĠинÑĤеÑĢ еÑģ +ен нÑĭÑħ +×IJ ׳×Ļ +بد Ø£ +ëĿ¼ ëĬĶ +ì¹ ´ +æĸ¹ ãģĮ +ли в +Ġ à¸Ħà¸Ļ +ער ×ļ +à¸Ĥà¸Ńà¸ĩ à¸Ħุà¸ĵ +п ад +Ġc ạnh +ĠëĤ ¨ +ĠÄij âu +Ġbi á»ĥu +ãĤĤ ãģĤãĤĭ +׾ ×Ĵ +Ġ สำหรัà¸ļ +Ġxu á»ijng +ס ×ķ +ĠØ° ات +ĠÐľ е +ع اÙĦÙħ +×IJ ס +ب ÙĬØ© +Ø´ ا +и ем +ĠNg Æ°á»Ŀi +íĺ ij +Ñģл ов +Ġп а +Ġm ẫu +ĠпÑĢоÑĨ еÑģÑģ +ĠNh Ãł +пÑĢо из +пÑĢоиз вод +à¸łà¸²à¸¢ à¹ĥà¸Ļ +Ġ à¸ļาà¸Ĺ +×ŀ ׳×ķ +ĠоÑĢг ан +רצ ×ķ +×ķ×ŀ ×Ļ×Ŀ +Ġyaz ı +Ġd ù +ãĥ¬ ãĥ³ +ÙĪÙĦ ÙĬ +ย ู +Ġtr ò +à¹Ģà¸ŀ ลà¸ĩ +Ġ×ŀ ׾×IJ +à¸ķ ล +à¸ķล à¸Ńà¸Ķ +ĠÄij ạt +Ġ×Ĺ×ĵ ש +p óÅĤ +Ġ×ŀ ×ĵ×Ļ +ujÄħ c +×ŀ׳×Ķ ׾ +Ġש×ij ×ķ +Ġ×Ķ×ŀש פ×ĺ +Ġ×IJ ׾×Ķ +ĠÙĪ Ø°ÙĦÙĥ +à¹Ģà¸ŀ ราะ +ĠÄijo Ãłn +Ġíķ¨ ê»ĺ +Ġd ục +Ø´ ت +Ġ ula +Ġula ÅŁ +Ġqu ý +Ġ×Ķ ×Ĵ×ĵ×ķ׾ +à¸ķัà¹īà¸ĩ à¹ģà¸ķà¹Ī +Ġש ר +Ø´ Ùĩد +׳ ש×Ļ×Ŀ +à¸ŀ ล +رÙĪ ا +ãĤĮ ãģ¦ +Ġн иÑħ +Ġдел а +ãģ§ãģį ãģªãģĦ +ÅĤo ż +×IJ ×Ĺר +ì ½Ķ +ãĤ¢ ãĥĥãĥĹ +د Ùģع +Ġti á»ĩn +Ġkh á»ı +Ġkhá»ı e +ĠاÙĦع اÙħØ© +ãģ« ãģĤãĤĭ +ĠÄij á»Ļc +ì¡ ± +Ġc ụ +й ÑĤе +Ġзак он +ĠпÑĢо екÑĤ +ìĸ ¸ +ÙĦ ØŃ +ĠçalÄ±ÅŁ ma +ãĤĴ ãģĻãĤĭ +Ñħ и +ع اد +Ġ׳ ×ŀצ×IJ +Ġר ×Ļ +à¸Ńà¸Ńà¸ģ มา +ĠT ôi +Ġth ần +ĠÙĬ ا +ล าย +Ġав ÑĤо +Ġsı ra +ĠÙĥ Ø«ÙĬر +Ùħ ÙĬز +ĠاÙĦع ÙĦÙħ +æĸ¹ ãģ¯ +×ķ×¢ ×ĵ +Ġобла ÑģÑĤи +×Ļ׾ ×Ļ×Ŀ +ãģĮ åĩº +à¸ĺ ุ +à¸ĺุ ร +à¸ĺุร à¸ģิà¸Ī +ÙĤت ÙĦ +ר×IJ ×ķ +Ġng u +Ġngu á»ĵn +Ġ มา +Ġпл ан +t ório +Ġcu á»iji +Ñģк ом +ĠاÙĦÙħ اض +ĠاÙĦÙħاض ÙĬ +Ġ×ij×¢ ׾ +Ġר ×ij×Ļ×Ŀ +Ġlu áºŃn +Ùĥ ÙĪ +à¸Ĺัà¹īà¸ĩ หมà¸Ķ +в ан +Ġtho ại +à¹Ħ à¸Ń +б иÑĢ +ĠاÙĦ ض +ت ا +ĠÑĢ од +ĠV Ãł +×ŀ ×Ļף +ĠбÑĭ ла +к ами +ĠÐĶ е +t ık +קר ×Ļ +ĠeÄŁ itim +ĠÙĥ بÙĬر +ب Ùĥ +ĠÙĦ ÙĪ +в ой +Ġ ãģĵãģ® +ĠÑĤ ÑĢÑĥд +my ÅĽl +Ġs Æ° +à¸ŀ ีà¹Ī +Ġ à¹ģลà¹īว +×¢ ק +Ġ×Ĺ×ijר ת +ระ หว +ระหว à¹Īาà¸ĩ +×Ļ ×Ļ×Ķ +ĠاÙĦÙĨ اس +ün ü +Ġ׾ ×ŀ×Ķ +Ġch Æ°Æ¡ng +ĠH á»ĵ +ار ت +ãĤĪãģĨ ãģ§ãģĻ +l á +ק×Ļ ×Ļ×Ŀ +æľ¬ å½ĵ +æľ¬å½ĵ ãģ« +ãģĵãĤĵ ãģª +Ñģ ов +Ġ×ķ ×Ĺ +à¹Ģà¸ģ à¹ĩà¸ļ +Ġк ÑĤо +à¹Ĥร à¸Ħ +ĠØ´ رÙĥØ© +ع زÙĬ +عزÙĬ ز +Ø·ÙĦ ÙĤ +п ÑĥÑģÑĤ +Ùģ تØŃ +ëŀ Ģ +Ġhã y +ض Ùħ +ë¦ ° +åł´åIJĪ ãģ¯ +ãĤª ãĥ¼ +Ġh ắn +Ġ×IJ ×ij×Ļ×ij +Ġש׾×Ķ ×Ŀ +Ġ×Ķ×Ļ ×Ļת×Ķ +ĠاÙĦد ÙĪÙĦØ© +ĠاÙĦ ÙĪÙĤ +ĠاÙĦÙĪÙĤ ت +ãģĤ ãģ¾ãĤĬ +Ġta ÅŁÄ± +Ä° N +×¢ סק +ãģ¦ ãģĦãģŁ +Ġtá»ķ ng +ĠاÙĦØ¥ ÙĨس +ĠاÙĦØ¥ÙĨس اÙĨ +ÑĢ еÑĪ +Ġg ái +ĠÑĨ ен +ĠÙģ ÙĤد +Ùħ ات +ãģķãĤĵ ãģ® +Ġph ù +×ĺ ×Ķ +ĠÙĪاÙĦ تÙĬ +Ġب Ùĥ +ìĿ´ ëĤĺ +к Ñģ +Ùħ ÙĬر +Ġv ùng +ĠاÙĦØ´ عب +ĠNh Æ°ng +ãĥĢ ãĥ¼ +Ġ×Ĺ×Ļ ×Ļ×Ŀ +ĠØ´ خص +ק ×ķ×ĵ +ê² Ģ +×¢ ש +×¢ ×ķ׾×Ŀ +צ ×ķר +ع ÙĤد +ĠiÅŁ lem +Ġ×Ķ×ij ×IJ +Ġd ưỡng +à¸Ł รี +Ġph ÃŃa +ãģ®ä¸Ń ãģ§ +Ġп и +Ġng Ãłnh +ним а +ĠÙĩ ÙĦ +Ġ×ķ ×IJת +ĠÄij áng +é quipe +ĠÑįÑĤ оÑĤ +Ġgö rev +ë§ ¤ +Ġqu ân +å¼ķ ãģį +æĻĤ ãģ« +Ġب Ùħا +×ŀ ×Ļת +Ġü lke +Ġ×ŀק ×ķ×Ŀ +×ij ף +æ°Ĺ æĮģãģ¡ +Ġë§İ ìĿĢ +Ġyük sek +ÑĨ енÑĤÑĢ +ĠÙħ جÙĦس +ç§ģ ãģ® +ÙĤد ر +Ġë¶Ģ ë¶Ħ +Ġì° ¨ +خر ج +ãģĭ ãģªãĤĬ +ë³´ ëĭ¤ +Ġ×ŀ ×Ļ×ĵ×¢ +peÅĤ ni +Ġx á»Ń +ìĹIJìĦľ ëĬĶ +ĠباÙĦ Ùħ +ĠÙĪ Ùħا +ĠÑįÑĤ ой +ب ÙĬÙĨ +n ü +ØŃ Ø² +ØŃز ب +ĠÑĢабоÑĤ а +ĠNh áºŃt +ÙĦ اء +Ġëĵ ¤ +Ġëĵ¤ ìĸ´ +ãĤĦãģĻ ãģĦ +×Ĺ×ĸ ק +Ġ×Ķ×Ĺ ×ijר×Ķ +п иÑĤ +ãģĭãĤī ãģ® +Ġë§IJ ìĶĢ +Ġפ ×ķ +ÙĦ Ùİ +à¹Ģà¸ķà¹ĩ ม +ĠÐļ о +Ġm ówi +Ġt ÃŃn +ר×Ĵ ש +פר ק +Ġtr ạng +ĠÐŀ н +×Ĺ ×ķ×¥ +ĠعÙĨد Ùħا +Ġب ر +使 ãģĦ +Ġr á»Ļng +ëĮĢ ë¡ľ +íĪ ¬ +Ġktóry ch +в ид +ลูà¸ģ à¸Ħà¹īา +Ġmog Äħ +Ġש ×Ĺ +×ij ×Ĺר +ãĥĸ ãĥŃãĤ° +ĠTh Ãłnh +Ġ×Ķ ר×Ļ +ĠÑģÑĤ аÑĤÑĮ +ĠH á»Ļi +à¸ļ à¹īาà¸ĩ +çī¹ ãģ« +ĠÄIJ ức +èĢħ ãģ® +×¢ ×ŀ×ķ×ĵ +×ĺר ×Ķ +Ð ¥ +ĠÙħ Ùħا +Ġe ÅŁ +ĠнеобÑħодим о +ник ов +Ġüzer inde +a ÅĤa +Ġchá»ĭ u +ĠاÙĦ دÙĬÙĨ +أخ بار +ĠÄij au +ãģĮ å¤ļãģĦ +jÄħ cych +د Ø®ÙĦ +ları nd +larınd an +Ġs ẻ +à¸ŀิ à¹Ģศ +à¸ŀิà¹Ģศ ษ +ת ף +t ıģı +Ġlu áºŃt +ĠÅŀ e +ãĤ« ãĥ¼ +ãģ® ãģĤãĤĭ +Ġ×Ķ×IJ תר +ĠاÙĦØ¢ ÙĨ +ıld ı +Ġá o +ĠнаÑĩ ал +Ġvi á»ĩn +Ġ×ij×¢ ×ķ׾×Ŀ +з наÑĩ +×Ļ×ĺ ×Ķ +к ам +ĠÐĺ з +à¹Ģà¸Ĥ ียà¸Ļ +à¸Ļ à¹īà¸Ńà¸ĩ +ÑĤ ÑĢо +à¹Ģ à¸Ł +Ġжиз ни +Ġ สà¹Īวà¸Ļ +Ġv áºŃn +Ġê´Ģ 볨 +Ġl âu +ס ×ĺר +ק ש +س ÙĬر +Ġ×IJ×ķת ×Ļ +Ġm ôi +ائ ب +Ġо ÑģÑĤа +Ġm ón +Ġ×ij ×ŀק×ķ×Ŀ +Ġد اخÙĦ +Ġ×IJ ×ķר +Ġв аÑģ +Ùĥ Ø´Ùģ +ìĺ ¨ +à¸ĸ à¹Īาย +Ġkullan ıl +Ġt ô +ãģ« ãĤĪãĤĬ +ĠëĺIJ íķľ +Ġ×¢×ij×ķ×ĵ ×Ķ +Ġri ê +Ġriê ng +Ġyak ın +ز ا +Å » +×IJ ×ķ׼׾ +شار Ùĥ +Ġб еÑģ +× ´ +Ġا بÙĨ +ĠTá»ķ ng +ÙĨ ظ +ÅĽwi ad +ãĤµ ãĥ¼ +ห าย +ĠG ün +Ġhakk ında +à¹Ģà¸Ĥà¹īา มา +ز ÙĨ +ĠÐł о +Ġbi á»ĥn +ãģ© ãģĵ +Ùģ عÙĦ +ز ع +פר ×ĺ +Ġ×Ķ ף +Ø£ ÙĩÙĦ +Ġth ất +ØŃ ÙħÙĦ +Ñĩ Ñĥ +ĠìĤ¬ ìĭ¤ +ì° ¸ +ĠìľĦ íķ´ +ÙĪ ظ +ĠÐŁ од +Ġkho ản +ÑĤ ен +ĠÙģ اÙĦ +Ñģ ад +à¸Ļ à¸Ńà¸Ļ +ĠاÙĦسعÙĪد ÙĬØ© +" ØĮ +ĠاÙĦ ÙĴ +ãĤī ãģļ +Ġto án +Ġch ắc +׼ ×Ļר +m éd +méd ia +ز ÙĪ +Ġyan ı +פ ׳×Ļ×Ŀ +ØŃ Ø¸ +Ġб еÑģп +ĠбеÑģп лаÑĤ +ĠбеÑģплаÑĤ но +ĠØ£ ÙħاÙħ +à¸Ń าย +à¸Ńาย ุ +ר שת +Ġg á»ĵ +Ġgá»ĵ m +Ġu á»ijng +ص ب +k ır +ãĥij ãĥ¼ +Ġ׾×ĵ עת +Ġк ÑĥпиÑĤÑĮ +׾ ×ķ×Ĺ +ÙĪض ع +ÙĤÙĬ Ùħ +à¸Ľ า +ж ив +à¸Ķ ิà¸Ļ +×IJ ×ķפ +à¹Ģล à¹ĩà¸ģ +ãĥĥ ãĥī +иÑĩеÑģки Ñħ +ĠCh ủ +кÑĢ аÑģ +ÙĪ صÙĦ +p ÅĤat +м оÑĢ +Ġ×Ķ×IJ ×ķ +à¸Ń ิà¸Ļ +Ġíķľ êµŃ +гÑĢ е +Ġìłľ ê³µ +ì° ½ +Ġê°ľìĿ¸ ìłķë³´ +Ġngh á»ĭ +à¸ĭ า +ØŃس اب +Ġby ÅĤa +ÙħÙĦ Ùĥ +иÑĩеÑģки е +Ġb ác +ض ØŃ +ê¸ ¸ +ש ×ŀ×¢ +Ġìĸ´ëĸ » +Ġìĸ´ëĸ» ê²Į +ìĽ Į +ات Ùĩ +à¹Ĥรà¸ĩ à¹ģ +à¹Ĥรà¸ĩà¹ģ รม +خد ÙħØ© +ĠÐł а +׼×ķ׾ ×Ŀ +×ŀש ×Ĺק +ĠÙĪ ÙĥاÙĨ +ס ×ķ×£ +ĠاÙĦØŃÙĥÙĪÙħ Ø© +Ġ×ij ×ĺ +Ġtr áºŃn +Ġ×Ķ×¢ ×ķ׾×Ŀ +ĠÃŃ ch +t Äħ +ש×ŀ ×ķ +Ġ×Ķר×IJש ×ķף +Ġíķĺ ê³ł +ãģķ ãĤī +ãģķãĤī ãģ« +ãģ« ãģĹãģ¦ +Ġ à¸ľà¸¡ +ãģ® ãĤĪãģĨãģª +ĠÙĪ ÙĤت +ãĥį ãĥĥãĥĪ +ÙĦ عب +ÙĪ Ø´ +ìĺ ¬ +Ġ หาà¸ģ +Ġm iaÅĤ +à¸Ĺ à¸Ńà¸ĩ +иÑĤ а +ا صر +ил ÑģÑı +з е +à¸Ľà¸£à¸° มาà¸ĵ +ãģĿãĤĮ ãģ¯ +Ġb ır +Ġbır ak +صÙĨ اع +Ð ® +Ø´ عر +Ġ׳ ×Ĵ×ĵ +Ġب سبب +ãĥĿ ãĤ¤ +ãĥĿãĤ¤ ãĥ³ãĥĪ +ĠاÙĦج ÙĪ +ĠнеÑģк олÑĮко +Ġki ếm +Ùģ Ùİ +Ġض د +×ij×Ļ×ĺ ×ķ×Ĺ +تاب ع +ÙĨ ز +ĠB ản +Ġaç ıkl +Ġaçıkl ama +Ġ à¸Ħุà¸ĵ +à¸Ĺ า +ÅĤ ów +Ø· ب +ÙĨ ØŃÙĨ +Ġ×ŀק ×ķר +ĠÄ° s +Ġдом а +Ġ วัà¸Ļ +Ġd Ãłnh +Ñı н +ми ÑĢ +Ġm ô +ĠvÃł ng +ص اب +s ının +à¸Ħ ืà¸Ļ +Ø® بر +×ĸ׼ ×ķ +Ġ×ŀ ש×Ķ×ķ +m ü +Ġкомпани и +Ġ×Ķ×¢ ×Ļר +ĠÙĥ ÙĪ +ÙĤÙĦ ب +ĠlỼ p +и ки +׳ ×ij +à¹Ĥ à¸Ħร +à¹Ĥà¸Ħร à¸ĩ +à¹Ĥà¸Ħรà¸ĩ à¸ģาร +×ŀ×ķ×¢ ×ĵ +ÑıÑĤ ÑģÑı +หลัà¸ĩ à¸Īาà¸ģ +ени Ñİ +Ġש ×¢ +Ġb Æ°á»Ľc +ãĥ¡ ãĥ¼ãĥ« +ãĤĦ ãĤĬ +Ġ×Ļ×ķ×ĵ ×¢ +Ġê´Ģ íķľ +ĠاÙĦØ£ Ùħر +Ġböl ge +ĠÑģв ой +ÙĦ س +Ġ×ŀ×Ļ ×ķ×Ĺ×ĵ +ĠëĤ´ ìļ© +ĠØ£ جÙĦ +ĠÄIJ ông +Ġ×ŀ ×ł×ª +Ġìĭľ ê°Ħ +Ùĥ Ùİ +ãģ¨ãģĦãģĨ ãģ®ãģ¯ +Ġnale ży +تÙĨظ ÙĬÙħ +ĠÑģозд а +Ġph é +Ġphé p +ãģ§ãģį ãģ¾ãģĻ +Ġع ÙĦÙħ +大ãģį ãģª +ãĤ² ãĥ¼ãĥł +í ħĮ +Ġ׼×ķ׾ ׾ +ĠинÑĤеÑĢ неÑĤ +ĠT ừ +ãģ¨ ãģªãĤĭ +ز اÙĦ +Ġktóry m +Ġnh é +ìĪ ľ +н ев +д еÑĢ +ãĤ¢ ãĥĹãĥª +i á»ĩu +×ij ×Ļ׾ +Ġت س +ĠÄIJ ây +ĠاÙĦØ® اصة +Ġà¹Ģ à¸Ĭ +Ġà¹Ģà¸Ĭ à¹Īà¸Ļ +ص اد +Ġd ạng +س عر +Ġש ×Ļ×ŀ×ķש +×Ĵ ×Ļ×Ŀ +ãģĮãģĤ ãģ£ãģŁ +п ÑĢов +пÑĢов од +Ġ×IJ ×Ļ׳×ķ +Ġ׾ ר×IJ +Ġ׾ר×IJ ×ķת +ĠØ£ ÙģضÙĦ +ĠØŃ ÙĦ +ĠØ£ بÙĪ +ê° ķ +Ġì§ ij +ãģ® ãĤĪãģĨãģ« +Ġפ ׳×Ļ +ס ×Ļ×Ŀ +ĠÙĪÙĩ ذا +Ġka ç +Ġé én +Ġê± ´ +ë° Ķ +Ñĥ з +à¸Ĥà¸Ńà¸ĩ à¹Ģรา +i ÅĤ +ĠÐľ Ñĭ +Ġch ết +ĠاÙĦØ« اÙĨÙĬ +×IJ ק +Ġ×ķ ×¢×ľ +ĠاÙĦØ· ب +×ij×ĺ ×Ĺ +Ġج دÙĬدة +Ġع دÙħ +ع ز +สิà¹Īà¸ĩ à¸Ĺีà¹Ī +ãģĻ ãĤĮãģ° +ĠÄij ô +ì£ ł +د ÙĤ +н омÑĥ +Ġk á»ĥ +ãĤ¢ ãĥ³ +å¤ļãģı ãģ® +à¸Ľà¸£à¸° à¸ģ +à¸Ľà¸£à¸°à¸ģ à¸Ńà¸ļ +פע×Ļ׾ ×ķת +ĠÑģÑĤ ол +may ı +ãģ¤ ãģĦ +Ġyılı nda +Ġ à¸Īึà¸ĩ +koÅĦ cz +ĠTh ông +Ġак ÑĤив +н ÑģÑĤ +нÑģÑĤ ÑĢÑĥ +ĠÃĸ z +Ġת ×ŀ×Ļ×ĵ +ĠÙĥ ÙĨت +Ñģ иÑģÑĤем +pr és +prés ent +Ġn â +Ġnâ ng +gÅĤ os +ĠÙĪز ÙĬر +ØŃ ØµÙĦ +Ġиме еÑĤ +ØŃ Ø±ÙĥØ© +à¸ŀ à¹Īà¸Ń +ãĤĴ ãģĬ +Ġاست خداÙħ +×IJ×Ļר ×ķ×¢ +ä»ĸ ãģ® +Ġש×Ķ ×Ŀ +ãģĹãģŁ ãĤī +ש×ŀ ×Ļ +Ñģ ла +m ı +Ġbaz ı +Ġíķĺ ì§Ģë§Į +×ĵ ׾ +Ġyapt ıģı +ãĥĬ ãĥ¼ +׾ ×Ļ׾×Ķ +ãģ¨ãģĦ ãģ£ãģŁ +änd ig +ĠÅŁ a +ĠÙģÙĬ Ùħا +иÑĤ елÑı +×ŀ ×ķש +à¸Ĥ à¸Ńà¸ļ +l ük +Ġh á»ĵi +Ġëª ħ +ĠاÙĦÙĥ Ø«ÙĬر +צ ×IJ +Ġhaz ır +طر Ùģ +ا ÙĬا +ĠÄij ôi +ен д +ÙĦ غ +×Ĺ ×ĸ×ķר +ĠвÑģ ег +ĠвÑģег да +ëIJĺ ê³ł +×ĵ ×ķ×ĵ +ан а +د ÙĪÙĦØ© +Ġho ạch +ع ÙĦا +عÙĦا ج +Ġ×ķ ×¢×ĵ +×Ķ ×Ŀ +ки й +ÙĦ ÙIJ +Ġ×¢ ׾×Ļ×ķ +ÑİÑī ий +Ġng ủ +صÙĨ ع +ĠاÙĦع راÙĤ +à¸ķà¹Īà¸Ń à¹Ħà¸Ľ +ãģŁãģı ãģķãĤĵ +Ġph ạm +ÙĦ اÙĨ +ات Ùĩا +Ġbö yle +تÙĨ ÙģÙĬ +تÙĨÙģÙĬ Ø° +Ġש×Ķ ×Ļ×IJ +Ñģ Ñĥ +ย าว +Ġש ×ķ׳×Ļ×Ŀ +Ġ×ŀ ×ķ׾ +ĠÑģ ил +Ġ×IJ×Ĺר ×Ļ×Ŀ +Ġph ủ +ÙĤØ· ع +ĠTh ủ +à¸Ľà¸£à¸°à¹Ģà¸Ĺศ à¹Ħà¸Ĺย +ÙĨ ÙĤ +ĠÄijo ạn +Ġب Ø¥ +п ÑĢедел +×ķת ×ķ +Ġy arı +пÑĢ е +ĠczÄĻ ÅĽci +ØŃ ÙĥÙħ +×ķ׳ ×Ļת +פע ׾ +ãĤĴ ãģĹãģ¦ +Ġktó rzy +׾ ×Ŀ +ĠÄIJi á»ģu +ĠкоÑĤоÑĢ аÑı +ĠìĿ´ ìĥģ +ãģĤ ãģ£ãģŁ +Ġ×ŀ×ĵ ×ķ×ijר +פ ×ķ×¢×ľ +d ım +éĢļ ãĤĬ +ĠбÑĥд ÑĥÑĤ +à¹Ģวà¹ĩà¸ļ à¹Ħà¸ĭ +à¹Ģวà¹ĩà¸ļà¹Ħà¸ĭ à¸ķà¹Į +ا خر +×Ĺ ×Ļ׾ +Ġ×Ļ ׾ +Ġ×Ļ׾ ×ĵ×Ļ×Ŀ +×Ĺ ×Ļפ +×Ĺ×Ļפ ×ķש +Ġd òng +Ġש ×ĸ×Ķ +ÑĮ е +ãģĤ ãģ¨ +ìŀIJ ê°Ģ +×IJ ×ĵ +Ġü z +Ġüz ere +ظ ÙĦ +Ġ×IJ ×ķ׾×Ļ +Ġ×ij ×Ļ×ķ×Ŀ +ÙĦ ات +Ġm ê +ì¹ ¨ +تØŃ Ø¯ +تØŃد Ø« +ĠØ® اصة +Ġب رÙĨ +ĠبرÙĨ اÙħج +ĠH Ãłn +×Ĺ ×¡ +ĠÙĪ ÙĦÙħ +×¢ ×Ŀ +Ġm ı +à¸Ł ัà¸ĩ +ש ×¢×Ķ +ÙĪÙģ ÙĤ +ס ×ij×Ļר +алÑĮ нÑĭй +×Ĺש ×ķ×ij +Ġn Ãłng +ë³ ¼ +ĠкоÑĤоÑĢ ÑĭÑħ +Ġ×Ĺ ×ķק +t ör +ĠлÑĥÑĩ ÑĪе +ãĥij ãĥ³ +ลà¹Īา สุà¸Ķ +Ġج دÙĬد +ÙĬد Ø© +à¸Ĺ รà¸ĩ +ãĤĪãĤĬ ãĤĤ +ÙĦ ÙĦ +ãĤĤ ãģ£ãģ¨ +ש×ĺ ×Ĺ +Ġ×ķ ×IJ×Ļ +Ġgi á»ijng +Ø¥ ضاÙģ +ק ת +ë§ Ŀ +Ġzosta ÅĤ +ÑĢ оз +×Ļפ ×Ļ×Ŀ +Ġ׼׾ ׾ +ת×ķ׼ ף +dıģ ını +ÙĤ سÙħ +ĠÑģ ÑĩиÑĤ +ĠÑģÑĩиÑĤ а +×ĺ ×ķת +Ġ Æ°u +ĠØ¢ ÙĦ +Ġм ом +Ġмом енÑĤ +ĠاÙĦتع ÙĦÙĬÙħ +×¢×ľ ×ķת +Ġch ữa +Ġy ön +Ġtr Ãł +ĠØŃ ÙĬÙĨ +à¸ĭ ั +ĠC á +×¢ ×ĸ +ĠاÙĦØ£ ÙħÙĨ +c ÃŃ +Ġv á»ijn +Ġ à¸Ļาย +об ÑĢа +ק ×IJ +Ġthi ếu +ãĥŀ ãĥ¼ +ส วà¸Ļ +Ġg á»Ń +Ġgá»Ń i +Ġê ¹ +Ġê¹ Ģ +Ġthi á»ĩn +ÙĤ ع +w ÄĻ +Ġн ам +ÑĤ ол +Ġs ân +ס ×ķ×Ĵ +Ġgeç ir +ÑĤ он +ев а +ĠÙĪ ضع +Ġع شر +Ñģ ло +à¸Ī ัà¸ļ +ãĤ· ãĥ¼ +ãĤĤ ãģĤãĤĬãģ¾ãģĻ +Ġv ẻ +ĠÄIJ á»ĥ +ر Ùģع +ĠاÙĦØ£ÙĪÙĦ Ùī +ÑĤ аÑĢ +ãģªãģı ãģ¦ +Ùħ Ùİ +qu ÃŃ +×¢×ł×Ļ ×Ļ׳ +г ен +Ġh ôm +à¸Ī า +Ġnh Ỽ +ĠاÙĦع ربÙĬ +×IJ ף +Ġl á»Ļ +Ġje ÅĽli +à¹Ģà¸Ĺà¹Īา à¸Ļัà¹īà¸Ļ +ĠØ£ÙĨ Ùĩا +Ġt uy +Ġtuy á»ĩt +Ġت ص +Ġتص ÙĨÙĬ +ĠتصÙĨÙĬ Ùģ +Ġê·¸ëŁ¬ ëĤĺ +о ÑĨен +à¸ģิà¸Ī à¸ģรรม +ãĤĦ ãģ£ãģ¦ +Ġkh á»ıi +Ġl á»ĩ +ĠاÙĦÙħج تÙħع +à¸Ńาà¸Ī à¸Īะ +à¸Īะ à¹Ģà¸Ľà¹ĩà¸Ļ +ов Ñĭй +ר ×Ŀ +ร à¹īà¸Ńà¸Ļ +ש ×ŀש +人 ãģ« +Ġüzer ine +פר ×Ļ +du ÄŁu +Ñĩ ик +Ġmù a +Ġ×ŀת ×ķ×ļ +Ġc áºŃp +Ġت ارÙĬØ® +×ij׾ ת×Ļ +Ġì¢ Ģ +ÙĦ ع +ب اÙĨ +Ġch út +Ġ×Ķ×ĸ ×ŀף +n ée +ĠLi ên +ĠÙĦÙĦ Ø£ +ØŃد ÙĪد +Ġ×¢ ׼ש×Ļ×ķ +в оз +Ġyapt ı +Ġоб о +à¹ĥหà¹ī à¸ģัà¸ļ +Ġ×ij×Ķ ×Ŀ +ãģı ãģ¦ +ر أس +ĠÑģÑĢед ÑģÑĤв +ĠB Ãłi +ãģĵãģ¨ ãģ« +ĠìĤ¬ íļĮ +Ġ모 ëijIJ +×ij ×IJ +Ġtr ắng +ĠاÙĦبÙĦ د +ĠHo Ãłng +ли бо +ĠдÑĢÑĥг иÑħ +Ä° R +Ñĥм а +ĠJe ÅĽli +ãĤĤ ãģĹ +Ġv òng +Ġ×IJתר ×Ļ×Ŀ +ĠÄij á»įc +Ġв оÑĤ +ãģł ãģĮ +ë° ° +à¸Ķู à¹ģล +Ġ×ŀ ׼׾ +ìĹIJ ëıĦ +г аз +Ġ׳×ķס פ×Ļ×Ŀ +ãģĵãģ¨ ãģ§ +Ġت ÙĪ +ãģ§ ãģĤãĤĬ +à¸Ļั à¹Īà¸ĩ +ĠможеÑĤ е +sz ÄĻ +ãģ® ãģł +ĠÙħÙĨ Ùĩ +Ġb á»ķ +Ġb üt +Ġbüt ün +ë³´ ê³ł +Ġch á»ĵng +à¹ģà¸Ī à¹īà¸ĩ +ĠV ì +ĠØŃ Ø± +Ġgi ản +ĠÙħ دÙĬÙĨØ© +تط بÙĬÙĤ +à¸Ī ิ +æĹ¥ ãģ® +б ил +à¸ģ à¸Ńà¸ĩ +ê³ ³ +ĠØ£ Ùħا +ìĨ IJ +Ġtr ái +ĠвÑģ ем +Ġس ÙĨØ© +ĠÑģай ÑĤ +Ġг оÑĤов +п Ñĭ +ĠëIJ ł +ĠاÙĦØ® Ø· +ĠاÙĦرئÙĬس ÙĬØ© +Ġíķ ©ëĭĪëĭ¤ +ĠìķĦëĭĪ ëĿ¼ +ĠìĿ´ ëłĩ +ĠìĿ´ëłĩ ê²Į +) ØĮ +h ält +ĠØ£ Ùħر +Ġع Ùħر +à¸ģà¹ĩ à¸Īะ +Ġ à¸Ĺำà¹ĥหà¹ī +Ġc ân +Ġ×ij ׾ +Ġ×ij׾ ×ij×ĵ +פ סק +ĠÙĬ ÙĤÙĪÙĦ +н ÑĥÑĤÑĮ +à¹ģ à¸Ħ +Ġק צת +Ġn ằm +Ġh òa +bilit Ãł +ĠìĹĨ ëĭ¤ +Ġ׼ פ×Ļ +ÑĢ ож +лаг а +Ġ×Ķש ×Ļ +ĠNgo Ãłi +ĠÙĪ ج +ĠÙĪج ÙĪد +ĠìľĦ íķľ +Ġus ÅĤug +Ġtu ần +d ź +×ŀ ×ķף +ĠاÙĦع دÙĬد +Ġch ẳng +สุà¸Ĥ à¸łà¸²à¸ŀ +Ġ×ij ×ĵר×ļ +ĠÑģеб е +ĠìŀĪ ìĿĦ +ĠاÙĦØŃ Ø§ÙĦ +Ġd á +Ġc Æ°á»Ŀi +Ġnghi ên +ie ÅĦ +ĠD Æ°Æ¡ng +ï¼ ħ +Ø´ د +ãģĦãģ¤ ãĤĤ +ĠвÑĭб оÑĢ +Ġc á»Ļng +ש ×Ļ׳×ķ×Ļ +Ġch ạy +Ġ×ij×¢ ׾×Ļ +اخ بار +íķĺ ë©° +ż Äħ +ج از +Ġ׳ ר×IJ×Ķ +ศ ู +ศู à¸Ļ +ศูà¸Ļ ยà¹Į +×Ĵ ×¢ +Ġ×¢ ×ĵ×Ļ +Ġ×¢×ĵ×Ļ ×Ļף +بر ا +ÑĨи й +ĠÄIJ á»ĵng +ÙĤ اÙĨÙĪÙĨ +ĠÄij ứng +ãģĹãģŁ ãĤĬ +Ġ×Ĺ×Ļ ×Ļ +Ġë IJľ +ĠëIJľ ëĭ¤ +Ġм еждÑĥ +à¸ŀวà¸ģ à¹Ģà¸Ĥา +ĠB ắc +ล ำ +ë° ± +ĠíĻ ķ +มาà¸ģ ม +มาà¸ģม าย +бан к +à¸Ńา à¸ģาร +Ġh Ãł +Ġ׾ ׳ +à¸Ń à¸Ń +Ġë°Ķ ë¡ľ +л ом +m ática +ĠØŃ Ø¯ +اب ت +à¸Ĺีà¹Ī à¸Ļีà¹Ī +Ġco ÅĽ +ÙģÙĬ دÙĬ +ÙģÙĬدÙĬ ÙĪ +ĠмеÑģÑĤ о +Ġph út +มาà¸ģ à¸ģวà¹Īา +×IJ פ +ب ÙIJ +ĠPh ú +ì± Ħ +ĠÙĪ سÙĦÙħ +à¸Īี à¸Ļ +поÑĤ ÑĢеб +Ġ×Ĺ×ĵ ש×ķת +Ø´ ÙĪ +Ġעצ ×ŀ×ķ +ĠعÙħÙĦ ÙĬØ© +à¸Ħุà¸ĵ à¸łà¸²à¸ŀ +ãģ¾ãģĻ ãģĮ +دع ÙĪ +طر ÙĤ +à¹Ħมà¹Ī à¸ķà¹īà¸Ńà¸ĩ +ë² Ķ +ìĬ ¹ +Ġk ÃŃch +ĠìĹĨ ëĬĶ +ĠÑĤ ам +ĠÙĨ ØŃÙĪ +ĠاÙĦÙĤ اÙĨÙĪÙĨ +×Ĺ ×ķ×Ŀ +Ġk ız +Ġ×ĵ ×Ļף +ĠвÑĢем ени +ãģ£ãģŁ ãĤĬ +ĠØ´ Ùĩر +ĠìĦľ ë¹ĦìĬ¤ +×¢ ש×Ķ +Ġgi ác +ĠاÙĦسÙĦ اÙħ +Ġ×IJ ש +ĠполÑĥÑĩ а +à¸Īัà¸Ķ à¸ģาร +к оÑĢ +Ġ×Ķ×ĺ ×ķ×ij +ราย à¸ģาร +주 ìĿĺ +à¹ģà¸ķà¹Ī ละ +Ġê·¸ëŁ° ëį° +à¸Ĺีà¹Ī à¹Ģà¸Ľà¹ĩà¸Ļ +Ġת ×ķ×ļ +بÙĬ اÙĨ +Ð Ļ +oÅĽci Äħ +ÑĤ ок +Ġà Ķ +ĠÃĶ ng +à¹Ħมà¹Ī à¹ĥà¸Ĭà¹Ī +ãģ¿ ãģ¦ +ÐŁ о +ĠЧ ÑĤо +íĻ © +×ĺ ×ij×¢ +меÑĤ ÑĢ +Ġ×ij ×ŀ×Ķ +Ġ×ij×ŀ×Ķ ׾ +Ġ×ij×ŀ×Ķ׾ ×ļ +Ñĩ ÑĮ +ק ש×Ķ +з нак +знак ом +uj ÄĻ +×Ļצ ר +ĠاÙĦÙħ ÙĦÙĥ +ı yla +×IJ×ŀ ת +à¸Ľ ิà¸Ķ +×IJ ×Ĺ×ĵ +ر اد +Ġm áºŃt +ëĭ¤ ëĬĶ +Ġl ạnh +ש׾ ×ķש +ØŃ Ø¯ÙĬØ« +ت ز +å¹´ ãģ® +Ġк ваÑĢ +ĠкваÑĢ ÑĤиÑĢ +ä½ľ ãĤĬ +رÙĪ ب +ов ан +ĠТ е +à¸Īำ à¸ģ +à¸Īำà¸ģ ัà¸Ķ +ب اط +×Ĵ ת +Ġм аÑĪ +ĠмаÑĪ ин +×Ļצ ×Ķ +ãģ» ãģ¨ +ãģ»ãģ¨ ãĤĵãģ© +ÃŃ do +ĠÑı зÑĭк +à¸ļ ิà¸Ļ +สà¸ĸาà¸Ļ à¸Ĺีà¹Ī +ĠìĹ ´ +ãĤ¦ ãĤ§ +Ġc Ãł +п ан +åı£ ãĤ³ãĥŁ +Ġر د +اÙĤ ت +ĠÙĥ ب +ĠÙĥب ÙĬرة +ÑģÑĤ ал +ש×ŀ ×Ĺ +pos ición +ĠÙħÙĦÙĬ ÙĪÙĨ +ĠìĿ´ ìķ¼ +ĠìĿ´ìķ¼ 기 +Ġh út +ĠÅĽw iat +Ġë°© ë²ķ +ĠÑģв еÑĤ +Ġвиде о +ĠاÙĦÙĨ ظاÙħ +Ġtr á»Ŀi +ĠëĮĢ íķ´ìĦľ +ר ×ŀת +ت داÙĪÙĦ +×ķר ×ĵ +ת ×ŀ +ת×ŀ ×ķ׳×ķת +Ġ×ŀ ף +Ġдв а +Ġ×Ķק ×ķ +æĹ¥ ãģ« +Ġ×Ķ×Ĵ ×Ļ×¢ +à¹Ģà¸ŀิà¹Īม à¹Ģà¸ķิม +Ùħار س +Ġê²ĥ ìŀħëĭĪëĭ¤ +ãģªãģĦ ãģ¨ +Ġnhi á»ĩt +ëIJ ©ëĭĪëĭ¤ +Ġ×ij׳ ×ķש×IJ +Ġê°Ģ ìŀ¥ +Ġv ợ +ĠÄij óng +צ×Ļ׾ ×ķ×Ŀ +ê´Ģ ê³Ħ +в аÑı +×IJ ×Ļ×ĸ +×IJ×Ļ×ĸ ×Ķ +ĠÙĨ ظاÙħ +ÙħØŃ Ø§Ùģظ +Ġt ải +기 ëıĦ +à¸Ľà¸±à¸Ī à¸Īุ +à¸Ľà¸±à¸Īà¸Īุ à¸ļัà¸Ļ +׼ ×ĵ×ķר +ĠìķĦ ìĿ´ +׼׳ ×Ļס +à¹Ģ à¸ķร +à¹Ģà¸ķร ียม +Ġngo ại +ĠدÙĪÙĦ ار +Ġr ẻ +Ġkh Äĥn +عد د +Ø´ عب +czy Äĩ +ĠاÙĦ Ùĥر +ĠÑĩеловек а +ĠÙĪ Ø¥ÙĨ +×IJ ×ĺ +Ġth Æ¡ +ĠاÙĦ رÙĬاض +оп ÑĢедел +опÑĢедел ен +×Ķ ×ŀש×ļ +ĠÐĿ ово +з Ñĭва +ĠاÙĦدÙĪÙĦ ÙĬ +ĠÄij áp +Ġк ÑĢед +ĠкÑĢед иÑĤ +ов ого +Ġm ôn +à¸Ľà¸£à¸° à¹Ĥย +à¸Ľà¸£à¸°à¹Ĥย à¸Ĭà¸Ļ +à¸Ľà¸£à¸°à¹Ĥยà¸Ĭà¸Ļ à¹Į +ÑģÑĤ е +ĠTh á»ĭ +د ÙĬØ© +×ŀצ ×ķ +Ùģ ات +ק ×ĵ×Ŀ +ìĿ´ëĿ¼ ê³ł +ÙĪ Ø® +Ġ×Ĺ ×ĸ +ĠÑĦоÑĤ о +׾ ×Ļת +ت Ùİ +ÙĪ بر +й ÑĤи +ĠÃ¶ÄŁ ren +Ġ×Ķ×ĸ ×ķ +Ġv á»įng +ÙĤÙĪ Ø© +ĠT ây +ĠÐĿ и +Ġש ×ķ×ij +ãģ¨è¨Ģ ãĤıãĤĮ +ãģ© ãĤĵãģª +׊צ×Ļ +ï½ ľ +Ġ×ķ×Ķ ×ķ×IJ +ä¸Ģ ãģ¤ +ĠÑģÑĤо иÑĤ +ni Äħ +×ĺר ×Ļ +ĠдеÑĤ ей +нÑı ÑĤÑĮ +ĠÑģдел аÑĤÑĮ +Ġë§İ ìĿ´ +ä½ķ ãģĭ +ãģĽ ãĤĭ +à¹Ħ หม +à¸ķิà¸Ķ à¸ķà¹Īà¸Ń +Ġ×ij ת×Ĺ +Ġ×ijת×Ĺ ×ķ×Ŀ +ìĻ Ħ +ì§Ģ ëĬĶ +ÑģÑĤ аÑĤ +ÑıÑģ н +ü b +Ġth ả +Ġ×ij×IJ×ŀ ת +Ġt uyến +×ĵ ×Ļר×Ķ +Ġ×IJ ×Ļש×Ļ +×ĸ׼ ר +ãģ° ãģĭãĤĬ +Ġx ét +׼ ×Ļ×ķ +׼×Ļ×ķ ×ķף +diÄŁ ini +ĠاÙĦÙħ ÙĪضÙĪع +Ġh áºŃu +à¸Īาà¸ģ à¸ģาร +×ijס ×Ļס +Ġ×ŀ×Ĵ ×Ļ×¢ +×ij ×Ļ×¢ +ĠÙĪ جÙĩ +à¹ģà¸Ķ à¸ĩ +à¸Ļ าà¸ĩ +ĠÅŀ a +ì ¡´ +ë¡ Ģ +à¸ķ ะ +Ġ×Ķ×Ĺ×Ļ ×Ļ×Ŀ +Ùģ ÙĬد +ãģ§ãģĻ ãģĭãĤī +ê· ľ +ź ni +ĠлÑİ Ð´ÐµÐ¹ +Ġyüz de +ıy orum +ĠاÙĦ بØŃر +e ño +п аÑĢ +ÙĬ ÙĤØ© +об ÑĢ +ר ×ķ×ļ +ت ÙĪÙĤع +ĠاÙĦØ´ ÙĬØ® +åĪĿ ãĤģãģ¦ +ĠÑĤ елеÑĦ +ĠÑĤелеÑĦ он +Ġth ôi +Ġ×Ļ׼×ķ׾ ×Ļ×Ŀ +ĠÅŁ irk +ĠÅŁirk et +Ġìļ°ë¦¬ ê°Ģ +ĠÄij ông +Ġת ×ķ×ĵ×Ķ +ÑģмоÑĤÑĢ еÑĤÑĮ +ĠÙĦ ÙĩÙħ +Ġ׾ ׼ +ĠN ó +ĠØŃ Ø§ÙĦØ© +ãģĦ ãģij +קר ×ķ +az ı +ãĤ³ ãĥ¼ +ĠÙĦÙĦ ت +s ınız +ĠH ải +기 ìĪł +ยัà¸ĩ à¹Ħมà¹Ī +ëĭ¤ ê³ł +פ ×Ĺ +Ġ׾×Ĵ ×ij×Ļ +Ġع ÙĨÙĩ +Ġк аз +Ġказ ино +ب ÙĪر +ÑĦ еÑĢ +Ġê°Ļ ìĿ´ +تس جÙĬÙĦ +ĠاÙĦÙħ رÙĥز +ĠTh ái +д аÑĤÑĮ +×ŀ×Ļ ×Ļ׾ +Ġpay laÅŁ +ãģ¤ ãģ® +à¹Ģร ืà¸Ń +n ça +׳ ×ķ×Ĺ +Ġ×IJ פ×Ļ׾×ķ +ãģ¨ èĢĥãģĪ +ãģ¨ãģĹãģ¦ ãģ¯ +à¹Ģà¸Ī à¸Ń +×ŀ פ +Ġg iriÅŁ +л иÑĤ +ÑĤ елÑı +Ñij н +æ°Ĺ ãģ« +Ġg ó +Ġgó p +åĪĩ ãĤĬ +Ġ×Ķ ×Ĺ×ĵש +ж ал +Ġ×ĵ עת +éģķ ãģĨ +à¹Ģà¸Ĥà¹īา à¹Ħà¸Ľ +Ġס ר×ĺ +e ña +æĸ° ãģĹãģĦ +ر Ùİ +ĠÐIJ ÑĢ +Ġph ản +à¸Īะ à¹Ħà¸Ķà¹ī +Ġ×ijצ ×ķר×Ķ +Ø´ اÙĩ +شاÙĩ د +ÙĪر د +à¹Ģà¸Ļืà¹Īà¸Ńà¸ĩ à¸Īาà¸ģ +или ÑģÑĮ +à¹ģละ à¸ģาร +Ġ×Ķ ×ĸ׼ +Ġ×Ķ×ĸ׼ ×ķ×Ļ×ķת +ei ÃŁ +ãĥ ¨ +ìĥ Ī +ĠÃĩ a +Æ ¯ +ש ×Ĵ +ÙĬÙĨ Ø© +ร à¹īà¸Ńà¸ĩ +ãĤµ ãĥ³ +ÑĢоÑģÑģ ий +ÑĢоÑģÑģий Ñģк +a ÄŁa +ĠнаÑĩ ина +Ġص ÙĦÙī +à¸Ĺุà¸ģ à¸Ħà¸Ļ +íļĮ ìĤ¬ +Ġли ÑĨ +Ø´ ÙĬر +ĠØ´ÙĬ Ø¡ +ÙĬÙĨ ا +Ġפ ×Ĺ×ķת +Ġiçer is +Ġiçeris inde +ĠØ£ ØŃÙħد +Ġże by +ì´ Ŀ +Ġп оказ +Ġи менно +หà¸Ļัà¸ĩ ส +หà¸Ļัà¸ĩส ืà¸Ń +ĠÑĤÑĢ е +สัà¸ĩ à¸Ħม +Ø¥ ÙIJ +ãģĮ å¿ħè¦ģ +ÙĬÙij Ø© +פ צ +íĭ ° +ĠÙħ جاÙĦ +׳ פש +к ан +×Ĺ ×ķפ +×Ĺ×ķפ ש +ì²ĺ ëŁ¼ +ов аÑı +з ов +Ġh ạ +Ġdzi ÄĻki +×Ļר ×ķ +Ġ׾ ×ŀצ +Ġ׾×ŀצ ×ķ×IJ +×Ļ×ĵ ×ķ +Ġs ợ +Ġ׾×Ķ ×Ĵ×Ļ×¢ +ק ×ij×¢ +Ġchi á»ģu +ãĥŀ ãĤ¤ +Ġd Ãłng +à¹ģà¸Ł à¸Ļ +Ġü ye +×Ļ׳ ×Ĵ +à¹Ģรีย à¸ģ +ç§ģ ãģĮ +th é +ĠÑĦ илÑĮ +ĠÑĦилÑĮ м +ĠNg Ãły +Ġж ен +Ġжен Ñīин +ج ÙĬد +n ç +à¸Ľ รา +×Ļ×ŀ ×ķ +Ġn á»ģn +×IJ ×ķ׾×Ŀ +Ġвозмож ноÑģÑĤÑĮ +Ġëĭ¤ ìĭľ +è¦ĭ ãģŁ +à¸ĸ à¸Ļ +à¸ĸà¸Ļ à¸Ļ +mız ı +ĠÙħ جÙħÙĪعة +c jÄħ +ĠÐł Ф +à¸ģำ หà¸Ļ +à¸ģำหà¸Ļ à¸Ķ +ĠìŬ 기 +land ı +ни ÑĨ +ÑģÑĤв е +Ġ×ĵ ×ijר×Ļ×Ŀ +Ġsk ÅĤad +ãĤĬ ãģ¾ãģĹãģŁ +ĠоÑĤ кÑĢÑĭÑĤ +нÑı ÑĤ +ĠÑģво ей +à¸Ī ิà¸ķ +ĠкаÑĩеÑģÑĤв е +Ġet tiÄŁi +ìĤ¬ íķŃ +ĠاÙĦÙĬ ÙħÙĨ +иÑĩеÑģки й +ë¸ Į +Ġ×ij×IJר ×¥ +Ġا سÙħ +Ġиз веÑģÑĤ +r ão +Ġatt ivitÃł +à¹Ģà¸Ľà¹ĩà¸Ļ à¸ģาร +ĠاÙĦد Ùĥت +ĠاÙĦدÙĥت ÙĪر +ĠÙĪاØŃد Ø© +ĠÑģ ÑĩеÑĤ +ĠпÑĢ иÑĩ +ĠпÑĢиÑĩ ин +ĠÙĪز ارة +Ġh uyá»ĩn +ĠÙĥ تاب +à¹ģà¸Ļ à¹Īà¸Ļ +à¹ģà¸Ļà¹Īà¸Ļ à¸Ńà¸Ļ +Ġgün ü +г ÑĢÑĥз +ĠاÙĦØ® اص +Ġgör ül +׾ ×ŀ×ĵ +Ġìłķ ëıĦ +×ķ×ij ×Ļ׾ +Ġ×ŀק צ×ķ×¢×Ļ +ĠоÑģоб енно +à¸Ľà¸£à¸° à¸ģา +à¸Ľà¸£à¸°à¸ģา ศ +aca ģını +ë¶ ģ +à¸łà¸¹ มิ +ĠÑį лекÑĤ +ĠÑįлекÑĤ ÑĢо +Ġק ש×Ķ +سÙĦ Ø· +à¸Ĭà¸Ļ ะ +×¢ ×Ļ׾ +ĠЧ е +à¹ģà¸Ļ à¹Ī +lı ÄŁ +lıģ ın +Ġ×ŀ×¢ ×¨×Ľ×ª +好ãģį ãģª +มาà¸ģ à¸Ĥึà¹īà¸Ļ +×ŀ×¢ ×ijר +ĠاÙĦÙħ غرب +ĠпеÑĢ и +ĠпеÑĢи од +Ġnh ạc +ا ÙĪÙĬ +ĠÙĪ عÙĦÙī +أخ Ø° +ĠC ô +תר ×ij×ķת +×Ĵ ×Ķ +Ġktóre j +×IJ ×Ļת +×ij ×ķ×IJ +д елÑĮ +รี วิ +รีวิ ว +ж Ñĥ +Ġ×ij×Ĺ ×ķ +еÑĪ ÑĮ +ĠØ£ ÙĦÙģ +ĠاÙĦÙĪ Ø·ÙĨÙĬ +ĠاÙĦÙħÙĨ Ø·ÙĤØ© +nÄħ Äĩ +Ġthi ên +иÑĩеÑģк ой +ĠاÙĦÙħ ÙĦ +Ġع Ùħ +ס פר +Ġnh óm +ÙĪص Ùģ +ĠCh úng +Ġر ÙĤÙħ +ãģ¾ãģĹãģŁ ãģĮ +al ité +ล ม +ĠëĤ´ ê°Ģ +׾ק ×ķ×Ĺ +ĠS Æ¡n +pos ição +mi ÄĻ +Ġtr ánh +ĠÄIJ á»Ļ +׼ ×Ĺ +ãģĤ ãģ£ãģ¦ +à¸Ńย à¹Īา +Ġ×ŀ×Ĺ ×Ļר +Ġ×Ķ ×Ļת×Ķ +à¸Ľ à¹Īา +à¸Ńืà¹Īà¸Ļ à¹Ĩ +Ø´ ÙĤ +×ł×¡ ×Ļ +ë¦ ¼ +ãģ¦ãģĹãģ¾ ãģĨ +Ġ×ŀ צ×ij +ãģ« åĩº +ÙħÙĪا Ø·ÙĨ +ยัà¸ĩ มี +алÑĮ нÑĭе +san ız +Ø¥ سرائÙĬÙĦ +ĠvÃł i +ì¤ Ħ +ãģ¨æĢĿ ãģ£ãģ¦ +×Ļ ×ķ׳×Ļ +çĶŁ ãģį +Ġs âu +Ñĩ иÑģÑĤ +Ġl á»ħ +ĠGi á +à¸Ńุ à¸Ľ +à¸Ńà¸¸à¸Ľ à¸ģร +à¸Ńà¸¸à¸Ľà¸ģร à¸ĵà¹Į +Ġnh ẹ +r ö +ס ×ĺ×Ļ +ãģķãĤĵ ãģĮ +Ġd ầu +ع Ùİ +ت را +×Ĵ×ĵ ׾ +Ġtécn ica +׼ ׳×Ļ×Ŀ +תק ש +תקש ×ķרת +Ġн его +ét ait +Ġm á»ģm +Ñģ еÑĤ +Ġnh áºŃt +Ġ×ŀ ×¢×ľ +Ġ×Ķ×¢ ×ij×ķ×ĵ +Ġ×Ķ×¢×ij×ķ×ĵ ×Ķ +Ġ×Ĵ ×Ļ׾ +ãģ¯ ãģªãģĦ +ائ ØŃ +Ġз деÑģÑĮ +×IJ ×Ļ׳×ĺר +Ùħ ÙIJ +Ġ×Ļ ×Ĺ×ĵ +ر اÙģ +ì²ĺ 리 +×ĵ ×¢×ķת +ì¹ ľ +ĠТ о +ĠTh ế +ì¶ © +Ġ׳׼ ×ķף +عÙĬ Ø´ +ни з +Ġج اÙĨب +×ŀק צ×ķ×¢ +à¹Ĥ à¸ĭ +Ñģ ÑĥÑĤ +ìĸ´ ìļĶ +ãĤĴè¦ĭ ãģ¦ +ار د +Ġaç ıl +ĠاÙĦØŃ ÙĬاة +à¸ģà¹ĩ à¹Ħà¸Ķà¹ī +ãģĿãĤĮ ãĤĴ +عض ÙĪ +Ġг ÑĢаж +ĠгÑĢаж дан +à¸Īะ à¸ķà¹īà¸Ńà¸ĩ +ĠìĿ´ 룬 +ĠìĿ´ëŁ¬ íķľ +Ġtr ách +ÙĨ Ùİ +Ġkı sa +à Ķ +ÑĪ ка +ãģ® 人 +ĠÐŁ оÑģ +ĠÐŁÐ¾Ñģ ле +Ñĥ лÑĮ +ÙĪا جÙĩ +ÙĤ رب +à¸Ľà¸ıิ à¸ļัà¸ķิ +ê° Ļ +Ġ×ŀ ׳ +ĠÑģво и +بر اÙħج +Ġر ÙĪ +пÑĢ од +пÑĢод аж +Ġby ÅĤy +วั ย +Ġgör ün +Ġà Ī +ÑİÑī им +ĠÑĤак ой +Ùģ ÙĪر +ĠÙģ عÙĦ +Ġб ел +ëIJ ł +er ÃŃa +ĠÑģво Ñİ +Ġl ã +Ġlã nh +à¹Ģà¸ŀืà¹Īà¸Ń à¹ĥหà¹ī +ÙĤ ÙĨ +تط ÙĪÙĬر +Ġsay ı +ĠÑģ ейÑĩаÑģ +Ġ×IJ×Ĺר ת +ק ×ķפ×Ķ +ק×ķר ס +Ġس Ùħ +Ġ×ĺ ×Ļפ×ķ׾ +ìĿ´ëĿ¼ ëĬĶ +دراس Ø© +èµ· ãģĵ +×Ĺ ×Ļ׳ +×Ĺ×Ļ׳ ×ķ×ļ +×ĵ ק +Ġë§ ŀ +Ġком анд +ĠÐij о +Ġиг ÑĢÑĭ +à¸ļ ี +ĠØ£ Ùİ +в ен +ĠاÙĦج دÙĬد +ĠÙĦ Ø¥ +Ġ×ķ×IJ ׳×Ļ +Ġ×Ķס ×Ļ +иÑĩеÑģк ого +رÙĪ ØŃ +à¸ģาร ศึà¸ģษา +ĠTr Æ°á»Ŀng +иг ÑĢа +ıl ması +Ġм аÑģÑģ +ãģ¨ãģį ãģ« +à¸Ĺีà¹Ī à¸ľà¹Īาà¸Ļ +à¸Ĺีà¹Īà¸ľà¹Īาà¸Ļ มา +ĠاÙĦساب ÙĤ +Ġ×ŀ×¢ ×ĺ +в аÑĤÑĮ +m Ã¼ÅŁ +Ġ׾ ׼×ļ +Ġt á»ĭch +Ùģ ÙĩÙħ +تد رÙĬب +Ø´ Ùĥ +Ġ×ij ×ŀ×Ļ +Ġ×ij×ŀ×Ļ ×ķ×Ĺ×ĵ +ÙĤØ· اع +ãģª ãģĹ +×ķצ ×Ļ×IJ +ĠÙĪ سÙĬ +з Ñĥ +Ġy at +Ġyat ırım +ë§ İ +Ġth ắng +ãģĬ 客 +ãģĬ客 æ§ĺ +ĠThi ên +ãģ«å¯¾ ãģĹãģ¦ +ÑĢ иÑģ +ÙĨت ائ +ÙĨتائ ج +Ġ×ŀ שר +Ġ×ŀשר ×ĵ +Ġتع اÙĦ +ĠتعاÙĦ Ùī +ש ׳×Ļ +Ùĩ اÙħ +×IJ׳ ש×Ļ×Ŀ +Ġżyc ia +ĠÑĢÑĥб лей +ÙĬ ض +Ġkat ıl +ĠÙħ ÙĪضÙĪع +Ġvard ır +ĠÙħÙĨ Ø·ÙĤØ© +ĠTr ần +Ġв еÑģ +ü p +Ùħ ÙĪÙĨ +ÑĪ ли +Ġn óng +Ø® ÙĦÙģ +ĠС ÑĤа +Ġд оÑĢ +ĠдоÑĢ ог +ĠwÅĤa ÅĽnie +eÄŁ in +Ġhi á»ĥm +ĠС ам +ê»ĺ ìĦľ +ĠÑĦ а +ãģ» ãģĨ +ãģ»ãģĨ ãģĮ +×ķפ ×Ļ×¢ +ê° Ī +د ÙĪÙĦ +Ġthu ê +Ġch á»Ĺ +Ġëĭ¹ ìĭł +ãģij ãĤĮ +ãģijãĤĮ ãģ© +ë³´ íĺ¸ +ãģķãĤĮ ãģ¦ãģĦãģ¾ãģĻ +Ġнад о +ĠìĤ¬ëŀĮ ëĵ¤ +à¹Ģà¸Ĥ à¸ķ +สม ัย +z ÅĤ +ت ÙĪر +Ġש ת×Ļ +v ê +Ġ×ijת ×ķ×ļ +à¸Ĭ ัย +ãģĦ ãģ£ãģŁ +ìĿ ij +Ġt ầ +Ġtầ ng +ש ׼ר +Ġê¸ Ģ +Ġ×Ķש ׳×Ķ +Ġا ÙĨÙĩ +ç«ĭ ãģ¡ +r és +füh ren +ر ØŃÙħ +ê· ¹ +ĠâĢ « +Ġsu ất +à¸Ł ิ +ÙĬ Ùĩا +ĠاÙĦ اتØŃاد +Ġt uyá»ĥn +ãģ¾ ãĤĭ +Ġm ại +Ġng ân +ãĤ° ãĥ© +欲 ãģĹãģĦ +س ار +ãĤĤãģ® ãģ§ãģĻ +ки е +Ġseç im +åħ¥ ãĤĬ +ãģªãģ© ãĤĴ +ÑĤ ÑĢи +ĠÑģп еÑĨ +ĠØ£ د +Ġод но +ÑĪ ел +ãĥĩ ãĥ¼ãĤ¿ +ãĤ· ãĤ¹ãĥĨ +ãĤ·ãĤ¹ãĥĨ ãĥł +è¡Į ãģį +ãģ¨æĢĿ ãģ£ãģŁ +à¹Ģà¸ģิà¸Ķ à¸Ĥึà¹īà¸Ļ +ĠÑĤ ож +ĠÑĤож е +Ġs ạch +ĠÑģ ÑĢок +Ġкли енÑĤ +ĠÙħØ´ رÙĪع +Ġalt ında +Ġì ·¨ +ä¸Ń ãģ® +ãģķãģĽ ãĤĭ +ãģĻ ãģ¹ +ãģĻãģ¹ ãģ¦ +ê°ľ ë°ľ +ĠÄij êm +ãģªãģĦ ãģ®ãģ§ +ì² ł +×¢ ×ij×ĵ +Ġd ấu +à¸Ħà¸Ļ à¸Ĺีà¹Ī +ĠC ách +تع ÙĦÙĬÙħ +Ġh ại +ãĤ» ãĥķãĥ¬ +ĠÙĨÙģس Ùĩ +ĠíĨµ íķ´ +ÑĪ ло +Ġнап ÑĢав +ĠнапÑĢав лен +ÑĢÑĥ Ñĩ +íĶ Į +Ġ×ijר ×Ļ×IJ +ãģ® ãģ¿ +ãģ«ãģĬ ãģĦãģ¦ +×ij ׳ק +ãĤ¨ ãĥ³ +Ø«ÙĦ اث +Ġm ỹ +ĠÑģай ÑĤе +Ġе мÑĥ +ت غÙĬ +تغÙĬ ÙĬر +خص ÙĪص +ÑĤе ли +Ġ×ķ׾ ׼ף +פע ×Ŀ +Ġпо ÑįÑĤомÑĥ +ر اÙĨ +иÑĤел ей +пиÑģ ан +×¢ ×¥ +ĠìĤ¬ ìĹħ +Ùħ ز +جÙħ ÙĬع +ë©´ ìĦľ +à¸ľà¸¥à¸´à¸ķ à¸łà¸± +à¸ľà¸¥à¸´à¸ķà¸łà¸± à¸ĵ +à¸ľà¸¥à¸´à¸ķà¸łà¸±à¸ĵ à¸ij +à¸ľà¸¥à¸´à¸ķà¸łà¸±à¸ĵà¸ij à¹Į +ĠпÑĢ имеÑĢ +ãĤŃ ãĥ¼ +l â +Ġch Äĥm +缮 ãģ® +ãģĦ ãģĭ +ãģ¨è¨Ģ ãģĨ +×ĸ ×ķ×Ĵ +Ġ×ij ×ĵ×Ļ +Ġ×ij×ĵ×Ļ ×ķק +ãģĬ åºĹ +à¸ķà¸Ńà¸Ļ à¸Ļีà¹ī +Ġph á»iji +п ÑĤ +สà¸Ļ าม +Ø· ÙĪ +ص اØŃ +صاØŃ Ø¨ +ĠD ü +ĠDü nya +Ġп ока +п ал +ĠÄij ảo +ĠاÙĦÙģ ÙĪر +ĠاÙĦÙģÙĪر Ùĥس +Ġmá u +кÑĢ еп +ĠاÙĦس اعة +ĠгоÑĢ ода +Ùģ صÙĦ +ай ÑĤе +Ġд ог +Ġдог овоÑĢ +ĠØ¥ Ø° +Ġ×ij׼׾ ׾ +ÙĬ تÙĩ +×Ĵ ×ijר +Ġbir ç +Ġbirç ok +문 íĻĶ +ãģĿãģĨ ãģª +را ØŃ +ĠÙħ رة +ĠденÑĮ ги +f ä +à¸Ĥà¹īา ว +ĠÑģов ÑĢем +ĠÑģовÑĢем енн +׾×Ĺ ×¥ +èī¯ ãģı +ĠÙģ Ø£ +Ġ×ķ ×ĸ×Ķ +Ġз ани +Ġзани ма +Ġê°Ģì§Ģ ê³ł +Ġh Æ¡i +ãģªãģ® ãģĭ +ãĥĨ ãĥ¬ãĥĵ +Ġר ×ij×ķת +à¸ķ ี +Ġ×ijש ×ł×ª +ĠT ại +Ġthu áºŃn +Ñģ ел +Ñij м +dzi Äĩ +ĠÑģ ка +ĠÑģка Ñĩ +ĠÑģкаÑĩ аÑĤÑĮ +×ķ×ŀ ×ķ +г ла +Ġмин ÑĥÑĤ +åĩº ãģĻ +Ġ×Ĺ×Ļ ×Ļ×ij +Ġת ×Ĵ×ķ×ij×Ķ +à¸£à¸¹à¸Ľ à¹ģà¸ļà¸ļ +ни ÑĨа +ĠÄ° n +ĠØ£ ع +Ġض ÙħÙĨ +Ùħ ثاÙĦ +ĠyaÅŁ an +ĠìĹ° 구 +ĠL ê +ש׾ ×Ĺ +ãģı ãģªãĤĭ +ìĹĨ ìĿ´ +ĠÑĤ ÑĢи +ĠÑĩаÑģÑĤ о +Ġоб ÑĢаÑĤ +п ло +د Ø® +دخ ÙĪÙĦ +س Ùĩ +à¸Ń าà¸ģ +à¸Ńาà¸ģ าศ +Ġ׼ ×ĸ×Ķ +Ġ×Ķ×¢ סק +ĠاÙĦØ£ ÙĨ +å¹´ ãģ« +×¢ ש×ķ +Ġש ×¢×ķת +Ġm Ãłn +×IJר ×Ļ +sı yla +Ùģر ÙĤ +ни Ñħ +Ġت ست +è¦ĭ ãģ¦ +ØŃا ÙĪÙĦ +×IJ ×Ļ׼×ķת +ĠbaÅŁ ladı +st Äħ +stÄħ pi +à¸Ĺีà¹Ī à¹Ģรา +ÙĤر ر +ج اب +Ġ×ijר ×ķר +à¹Ģà¸Ĥà¹īา à¹ĥà¸Ī +×ŀ׊קר +al ım +Ġס ×Ļפ×ķר +ãģ§ãģĤ ãĤĮãģ° +Ġש×ŀ ×ķר×ķת +Ġ×ķ ×ŀ×Ķ +ãģĵ ãģĿ +id ée +ä¸ĭ ãģķãģĦ +تÙĨا ÙĪÙĦ +Ġ ลà¹īาà¸Ļ +Ġìļ°ë¦¬ ëĬĶ +اÙĨ ا +ÑģÑĤ ой +б оÑĤ +ĠyaÅŁ am +kö y +Ø¥ ÙĦ +ÑĢ Ñĭв +기 ìĹħ +Ġ×Ķ×ŀ ×ĵ +Ġ×Ķ×ŀ×ĵ ×Ļ׳×Ķ +د ب +×¢ ×Ļ׳×Ļ +×ŀ ת×Ĺ +Ġפ ר×Ļ +ãĥĭ ãĥ¼ +اÙħ ÙĬ +Ġnh ằm +ãĤĮ ãģªãģĦ +ت عرÙģ +Ġë§Ī ìĿĮ +ìĵ ° +Ġh ấp +ר×Ĵ ×Ļ׾ +ب Ùİ +Ġr Äĥng +gl Äħd +ĠÑģиÑģÑĤем Ñĭ +Ġkh óa +ãģ§ãģĻ ãĤĪãģŃ +大ãģį ãģı +기 를 +Ġké o +ÙĪ Ø¡ +ج اÙħ +جاÙħ ع +Ġ×¢ ×Ļצ×ķ×ij +t éri +Ġת ש +Ġ×IJ ×ij×Ļ +ĠCh Æ°Æ¡ng +à¸ļริ à¹Ģว +à¸ļริà¹Ģว à¸ĵ +ãģ¤ ãģı +Ġ×Ĺ ×ķ׾ +עת ×Ļ×ĵ +ש ×Ļ×ŀ×Ķ +ëĤ ¨ +Ġש×IJ ×Ļף +ĠÙĪاÙĦ Ø¥ +ÑĦ а +Ġkh ám +Ġ×ĺ ×ķ×ij×Ķ +ĠвÑĭ Ñģ +ĠвÑĭÑģ око +ĠاÙĦØŃ Ø¯ÙĬØ« +人 ãĤĤ +d Ã¼ÄŁÃ¼ +×Ļ×Ĺ ×ķ×ĵ +تع ÙĦÙĬ +تعÙĦÙĬ ÙĤ +l ö +تØŃ Ø¯ÙĬد +н его +ĠÑĥд об +Ġ׾ ×ŀ×Ļ +Ġר ×ķצ×Ļ×Ŀ +Ġج اء +Ġ×ij ×ĸ×ŀף +à¸Ľà¸ģ à¸ķิ +é«ĺ ãģı +à¸Ľà¸¥ า +Ġart ık +Ġbug ün +ק ׳×Ļ +Ġkho á +ĠÙħ رÙĥز +ĠìŀIJ 기 +در جة +×ŀש ר×ĵ +Ġgi ấy +Ġch óng +ק פ +ÙĬب Ø© +ĠczÄĻ sto +в али +Ùĥ ب +ìŁ ģ +ส à¸ļาย +à¸Ľà¸£à¸°à¸Ĭา à¸Ĭà¸Ļ +×Ĵ ×ķ×£ +ëŁ ī +ãģ® ãģĵãģ¨ +ล à¸Ń +Ġngh á»ī +åŃIJ ãģ© +åŃIJãģ© ãĤĤ +à¹Ħà¸Ķ à¹īà¸Ńย +à¹Ħà¸Ķà¹īà¸Ńย à¹Īาà¸ĩ +×ĵ ×¢ +ĠاÙĦت Ùī +ĠÑģов еÑĤ +Ġqual itÃł +åĩº ãģĹ +ĠÑĢÑĥк ов +ĠÑĢÑĥков од +ราย ละà¹Ģà¸Ńียà¸Ķ +ãģªãģĭ ãģªãģĭ +기 ê´Ģ +Ġ×Ĺ ×ķש +Ġ×Ĺ×ķש ×ij +л оÑĤ +à¸Ļะ à¸Ħรัà¸ļ +ק×ij ×ķצ×Ķ +Ġth ái +Ġש ×ij×Ķ +ĠÑĪ кол +ĠÙĦ ÙĥÙĦ +à¹ĥà¸Ļ à¸Ĭà¹Īวà¸ĩ +ĠÙħ ÙĥاÙĨ +ë ķĮ +Ġc ải +ĠCh ÃŃ +ÑĥÑĩ а +ìĿ µ +Ġx ảy +à¸Ĭà¸Ļ ิà¸Ķ +Ġc áºŃu +к ÑĢов +ss é +ĠÙĨ ÙĪع +ĠТ а +Ø® Ùħس +פ×ķס ×ĺ +Ġm ắc +ĠÄij em +à¸ģาร à¹ĥà¸Ĭà¹ī +ר ×ķס +ĠÐĽ е +Ġth á»Ń +รà¹Īาà¸ĩ à¸ģาย +üz ü +æĹ¥æľ¬ ãģ® +ê³¼ ìłķ +ש ×Ļ×IJ +ĠìŀĪ ê³ł +×ij ×ķ׾ +ìķ ħ +ĠÙĪاÙĦ ا +ĠÐĽ и +ĠвÑģ Ñij +Ġużytk ow +×Ĺ ×ķ׾ +ر Ùģض +Ġson uç +ãģĦ ãģ¾ãģĽãĤĵ +ìĤ¬ ìĹħ +ëĪ Ħ +ÑĤ ек +Ġud ziaÅĤ +л ез +Ġ×Ķ×Ļ ×Ļת×Ļ +ãĤīãĤĮ ãģ¦ +Ùħس ؤÙĪÙĦ +ر ار +ÑĤ ан +ĠÄij Ãło +Ġר ×ķ×ij +Ġ×ijש×ij ×Ļ׾ +ä»ĬåĽŀ ãģ¯ +ãĤ¸ ãĥ¥ +Ġ×¢ ×ijר +ãģĽ ãģ¦ +п олÑĮ +ak lı +Ġk ÃŃnh +د ت +лож ение +ĠاÙĦÙħ ص +ĠاÙĦÙħص رÙĬ +à¸Īริà¸ĩ à¹Ĩ +ĠاÙĦشر ÙĥØ© +ĠÄij á»ı +ãĥĽ ãĥĨ +ãĥĽãĥĨ ãĥ« +Ñį кон +Ñįкон ом +ĠÙĪ عÙĨ +Ġת ׳ +Ġ×ª×ł ×IJ×Ļ +ĠاÙĦدÙĪÙĦ ÙĬØ© +Ġì§Ģ ìĹŃ +ãģ§ãģĻ ãģĭ +Ġв аÑĢи +ĠваÑĢи анÑĤ +ĠاÙĦع رب +ел а +Ġt Æ°á»Ľng +sk Äħ +Ġm ặc +ส ัà¸ģ +ãĥĵ ãĥ¼ +Ġ×ij ×Ĵ׾ +Ġ×ij×Ĵ׾ ׾ +ãĥķãĤ¡ ãĥ³ +×ij ×Ļצ +×ij×Ļצ ×ķ×¢ +ли ÑģÑĤ +à¸Ł ุ +à¸Łà¸¸ à¸ķ +à¸Łà¸¸à¸ķ à¸ļà¸Ńล +à¸Ŀ à¹Īาย +ìŀIJ ìĿĺ +Ġس ÙĪÙģ +Ġש ×Ķת +Ġê± ¸ +×¢ ×ij×ķ×ĵ +ãģĻãĤĭ ãģĵãģ¨ãģĮ +ĠÑĩа ÑģÑĤÑĮ +ãĤ¢ ãĥ¡ãĥª +ãĤ¢ãĥ¡ãĥª ãĤ« +Ġtak ım +Ġs Ỽ +ĠsỼ m +שר ×Ķ +è¨Ģ ãģĨ +л ан +ì» ¤ +׼ ׳×Ķ +ÙĪÙģ ÙĬ +íĹ Ī +lu ÄŁu +ĠëĮĢ íķ´ +Ġ׾×ij ×Ļת +Ġ×Ķר×IJש ×ķ׳×Ķ +ص Ùħ +Ġsö yled +Ġsöyled i +à¸Ľ าà¸ģ +Ġard ından +ãģĪ ãģŁ +à¸Ĺัà¹Īว à¹Ħà¸Ľ +Ġ׳×ķס ×£ +б олÑĮ +ãĤĵãģ§ãģĻ ãģijãģ© +ĠлиÑĪ ÑĮ +Ġ×ij ×IJ×Ļ +ĠбÑĭ ÑģÑĤÑĢо +ส ัà¸Ļ +Ġ×ij פ׳×Ļ +л еÑĩ +ĠاÙĦØ® بر +Ġsó c +Ġth ú +Ġп ÑıÑĤ +ãģĬ é¡ĺ +ãģĬé¡ĺ ãģĦ +ÑĤ ин +ãģ«ãģ¤ãģĦãģ¦ ãģ¯ +פ ף +Ġдв ÑĥÑħ +à¸į ีà¹Ī +à¸įีà¹Ī à¸Ľ +à¸įีà¹Īà¸Ľ ุ +à¸įีà¹Īà¸Ľà¸¸ à¹Īà¸Ļ +оп еÑĢ +ĠاÙĦب شر +ĠاÙĦÙħ اÙĦ +ıyor uz +تØŃ ÙħÙĬÙĦ +à¸ģ ะ +éĸĵ ãģ« +×Ĺ ×ķש +ĠNg uyên +ãģĦãģ¦ ãģĦãĤĭ +дÑĥ ÑĪ +ש פע +ÑĪ Ñĥ +å®Ł éļĽãģ« +ĠÑĢай он +ĠCh á»ī +ÙĨ صر +Ġìļ ´ +Ġìļ´ ìĺģ +Ġ×Ķ×ĵ ×Ļף +ØŃد د +ر ز +ĠاÙĦد Ùħ +ĠPh áp +ÑĤ ÑģÑı +è¦ĭ ãģĪ +Ġti á»ĥu +Ġs á»Ńa +а ÑİÑĤÑģÑı +ĠB á +Ġ×ķ ׼׾ +Ð ĸ +ÑĪ им +ìĿ´ ëĬĶ +л ев +d ık +Ġprés ente +Ġara ç +صد ÙĤ +Ġпом ог +ĠاÙĦشر ÙĤ +ĠÙĪاÙĦ Ø°ÙĬ +رÙĬ ا +×ij ׳×ķת +Ġng á»ĵi +ר ×ķפ +ר×ķפ ×IJ +Ġth ấp +ãĤĦ ãģ¯ +ãĤĦãģ¯ ãĤĬ +ĠاÙĦج دÙĬدة +éĿŀ常 ãģ« +ÙĬÙĦ ÙĬ +ìª ½ +تع اÙħÙĦ +ãģł ãģ¨æĢĿãģĦãģ¾ãģĻ +Ùħ Ùħ +иÑĤе ли +ãĤµãĤ¤ ãĤº +اد ات +ĠاÙĦÙħ اÙĦÙĬØ© +Ùĥات ب +к ли +веÑĢ Ñħ +ни Ñĩ +Ġ×ľ×¢ ×ij×ķ×ĵ +׾ ×Ļ×Ķ +ØŃ Ùİ +ãĤ¤ ãĥĻ +ãĤ¤ãĥĻ ãĥ³ãĥĪ +Ġת ×Ĵ×ķ×ij×ķת +ÑĦ он +ĠдÑĢÑĥг ие +×IJ ×ĸ×ķר +Ġper ò +ìķ ŀ +åĢŁ ãĤĬ +ר צ×Ļ +×IJ ×ĸ +алÑĮ нÑĭÑħ +Ġê²ĥ ìľ¼ë¡ľ +ĠпÑĢав о +ĠاÙĦØ£ رض +à¹Ģà¸Ĺ à¸Ħ +à¹Ģà¸Ĺà¸Ħ à¹Ĥà¸Ļ +à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļ à¹Ĥล +à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļà¹Ĥล ย +à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļà¹Ĥลย ี +צ ר×Ļ +ĠÐļ Ñĥ +ıl ma +決 ãĤģ +ا ÙĪ +Ġ×ĵ ק×ķת +à¸Ħร ู +ĠÙħست ÙĪÙī +à¸Ľ à¹īà¸Ńà¸ĩ +à¸Ľà¹īà¸Ńà¸ĩ à¸ģัà¸Ļ +×ĵ ×ķ×ŀ×Ķ +ĠÑģ егоднÑı +س ÙĪÙĤ +ר×Ĺ ×ķ×ij +ĠØ¥ دارة +Ñħ ож +éģİ ãģİ +à¸Ħ à¸Ń +нÑĥ л +×ķ׼ ×Ķ +ÙĪ اÙģÙĤ +׼׾ ׾ +Ġ×Ķ ×ĵ×ķ +Ġl Ä©nh +Ġkh ảo +×IJ×ŀ צע +ë¨ ¸ +Ġ׼ ×Ļצ +Ġ׼×Ļצ ×ĵ +Ġдолж нÑĭ +หว ัà¸ĩ +ãĥĩ ãĤ¶ +ãĥĩãĤ¶ ãĤ¤ãĥ³ +Ġng á»Ŀ +ä¸Ń ãģ« +à¸ģลัà¸ļ มา +جÙħ اÙĦ +à¸Ķัà¸ĩ à¸ģลà¹Īาว +س ÙĥÙĨ +س ÙĨ +Ġözellik le +з еÑĢ +rz ÄĻ +×ŀ ×ķר×Ķ +Ġl ạ +×ŀ ×Ļ׳×Ļ +ר ×Ļת +ãģĿãĤĮ ãģĮ +ãģĭ ãĤĮ +ĠÙĬÙħÙĥÙĨ Ùĥ +öff entlich +г ан +ĠاÙĦØŃ ÙĦ +ĠmiÄĻd zy +ĠÑĩа ÑģÑĤи +ujÄħ cy +ĠbaÄŁ lı +ĠiliÅŁ ki +Ùģ اء +ãĥª ãĥ³ãĤ° +Ġhã ng +ĠконÑĤ ÑĢ +ĠконÑĤÑĢ ол +к оп +ש ×Ļ×¢ +ש×Ļ×¢ ×ķר +ĠÐĴ аÑĪ +Ġ×Ķ תק +ÙħÙĨ ع +ĠpolÃŃt ico +Ġг олов +ĠØ¥ ÙĬ +Ø¥ ÙĨتاج +à¸ļ ิ +Ġг овоÑĢ +ĠговоÑĢ иÑĤ +Ġph á»ķ +ĠÑģем ÑĮ +ãģ¯ ãģĤãĤĬãģ¾ãģĽãĤĵ +ĠÙĪ است +×ŀש פ×ĺ +з ем +×ŀ×ĵ ×ijר +Ġíģ ° +ĠìĿ´ ë²Ī +ê°Ģ ëĬĶ +Ġì§Ģ ìĽIJ +Ġca ÅĤy +Ġgeli ÅŁtir +Ñģк ое +pos é +Ġkh ô +à¸ķิà¸Ķ à¸ķาม +miss ão +Ġ׾ ×ŀר +Ġ׾×ŀר ×ķת +Ġb ó +à¸ķรวà¸Ī สà¸Ńà¸ļ +Ġngh á»ģ +Ġб из +Ġбиз неÑģ +ÑģÑĤ еÑĢ +ÙĪ Ùİ +楽 ãģĹãģ +楽ãģĹãģ ¿ +ãģĵãĤĮ ãģĭãĤī +wiÄħ zan +ส à¸Ńà¸Ļ +Ùħ ÙĪر +׳×ĵ ׾ +Ġ×Ķ×IJ ×ĵ×Ŀ +Ġм олод +ØŃ Ùħا +ØŃÙħا ÙĬØ© +ÑģÑĤ ÑĢан +Ġbu á»ķi +ת×Ļ ×Ļ×Ŀ +abile ceÄŁi +L Ä° +à¹Ģย à¸Ńะ +à¸Ī ร +س ÙĥاÙĨ +à¸Ļ ัà¸Ķ +Ġm ấy +ĠÐij а +s ÅĤaw +ĠÙģ ÙĦا +ĠкоÑĤоÑĢ ой +Ġпло Ñī +ĠплоÑī ад +ãĤĤ ãģĤãĤĬ +sz czÄĻ +×Ļפ ×ķ +ש×ŀ ת +owa ÅĤa +Ġn ông +צ×ij ×IJ +ĠìŀĪ ìĹĪ +ãģ¾ ãģ¨ +ãģ¾ãģ¨ ãĤģ +ÙĤÙĪ ات +ãģ¿ ãĤĵãģª +Ġ׼ ×ŀ×¢×ĺ +Ġx úc +ï¼ Ĩ +r ÄĻ +rÄĻ cz +×ĵ ×ŀ×Ļ +Ġt áºŃn +à¸Ķ วà¸ĩ +ê²½ ìłľ +п ÑĥÑĤ +Ø£ ربع +Ġ×ŀ שת×ŀש +ãĤ¿ãĤ¤ ãĥĹ +Ġìłľ ê°Ģ +Ġ׾ ׼ף +ĠобÑĢаз ом +ÙĬÙĥ ا +w ÅĤ +wÅĤ asn +ĠاÙĦÙĪØ·ÙĨ ÙĬØ© +بÙĬ ب +×ŀ ׾×Ļ +к ÑĢаÑĤ +기 ìĹIJ +ÙĤ اد +ĠÙĦ دÙī +à¸Ħวาม รูà¹ī +×ŀ×ĵ×Ļ׳ ×Ļ×ķת +ê² ¨ +Ġíĺ Ħìŀ¬ +ש ת×Ļ +м ол +Ġmá i +à¸ŀิ ม +à¸ŀิม à¸ŀ +à¸ŀิมà¸ŀ à¹Į +หล วà¸ĩ +Ġx uyên +×Ĺ ×¡×¨ +رÙĪ ÙĨ +ãģĿãģĨ ãģĦãģĨ +ãģĿãĤĮ ãģŀ +ãģĿãĤĮãģŀ ãĤĮ +Ġ׼ ש×Ķ +ÐŁ ÑĢав +×ŀ×ij צע +ع رب +Ġbü yü +פ×Ļת ×ķ×Ĺ +à¸Ī à¸ļ +ĠØ£ Ùĥبر +שר ת +×ŀ׼ ש×Ļר +ĠÙĪ Ùħع +ãģ® ãģŁãĤģãģ« +à¸Ļ ัà¸ļ +ì° ° +ãĥª ãĥķãĤ© +ãĥªãĥķãĤ© ãĥ¼ãĥł +Ġc Æ°á»Ŀng +ĠìłĢ íĿ¬ +ÙħÙĨظ ÙħØ© +Ġhiç bir +ãģ§ãģ¯ ãģĤãĤĬãģ¾ãģĽãĤĵ +ร à¸Ńย +ëIJľ ëĭ¤ +ãģĻãģIJ ãģ« +к ла +Ġürün ler +Ġki á»ĥu +ĠëĤĺ ëĬĶ +ÑĤ ки +Ñģ им +Ġchá»ī nh +ãĤĤ ãģªãģĦ +ศ รี +æĽ¿ ãģĪ +ta ÅŁ +Ġب ÙĥÙĦ +Ġ×ķ ×Ļש +vis ão +ä¼ Ŀ +ä¼Ŀ ãģĪ +ÙĦ د +׾ ×Ļ×ŀ +׾×Ļ×ŀ ×ķ×ĵ +t ória +د Ùij +اÙħ ر +Ġê·¸ëłĩ ê²Į +Ġmateria ÅĤ +à¸Ĺ รา +à¸Ĺรา à¸ļ +ãģ®æĸ¹ ãģĮ +ãģ¦ ãģįãģŁ +ض غ +ضغ Ø· +ĠÙĬ عÙĨÙĬ +ел о +×IJ×Ķ ×ij×Ķ +×¢ ×ŀ +ÅŁ ık +ìŀIJ ëĬĶ +ãĤ¿ ãĥ³ +Ġb áºŃt +×ŀשפ ×Ĺ×Ķ +к ÑĢи +б ли +สั à¸ķ +สัà¸ķ วà¹Į +ĠسÙĨ ÙĪات +ĠPh Æ°Æ¡ng +ãģ¦ãģĹãģ¾ ãģ£ãģŁ +ãģª ãģľ +Ġ×ij×IJ ×ķ +Ġc án +س جÙĦ +Ġl ẽ +ãĤ± ãĥ¼ãĤ¹ +Ġק ×Ļ×ij׾ +à¸ļà¸Ĺ à¸Ħวาม +Ġ×ķ ׼ף +ĠпÑĢедÑģÑĤав лен +Ġn á»iji +Ġcoment ário +ени ем +Ġtá» ı +l Ãł +Ġש×Ķ ×Ļ×Ķ +Ñģл ав +ĠاÙĦ ÙĪÙĦا +ĠاÙĦÙĪÙĦا ÙĬات +ÙĦج ÙĨØ© +ק×ķר ×IJ +бÑĭ ÑĤ +Ġì ¦ +Ġì¦ ī +ãģ§ãģĻ ãģĹ +หรืà¸Ń à¹Ħมà¹Ī +за ÑīиÑĤ +ÙģÙĦ سطÙĬÙĨ +Ġmi á»ħn +à¹Ģย à¹ĩà¸Ļ +ĠçalÄ±ÅŁ an +×Ļ×Ĵ ×Ķ +ĠE ÄŁ +ĠEÄŁ itim +ãĥĥãĤ· ãĥ¥ +Ġоп Ñĭ +ĠопÑĭ ÑĤ +ر غ +رغ ب +ĠÑģво иÑħ +à¸Ľà¸£à¸° à¸ķ +à¸Ľà¸£à¸°à¸ķ ู +Ġ×ŀ×IJ ×ĵ +׼ ×ķ׳×Ļ×Ŀ +à¸Ļ ี +ĠвÑĭ Ñħод +ãģ®ä¸Ń ãģ« +פ ׾×IJ +ĠÙĪ ÙĦÙĬس +פ×ķר ס +פ×ķרס ×Ŀ +Ùħ سÙĦÙħ +Ġng ôi +×ĵ ×ŀ×ķת +ãĤĴ使 ãģ£ãģ¦ +ĠпомоÑī ÑĮÑİ +Ø£ سر +бл ок +ÙĤ Ùĩ +ãģĹãģ¾ ãģĦ +ãģ¨ ãģĹãģŁ +Ġп еÑģ +ãĥī ãĥ« +×Ĺ ×Ŀ +ãģĹãģª ãģĮãĤī +ĠÐŁ ÑĢед +ãĥģãĤ§ ãĥĥãĤ¯ +å¼· ãģĦ +ש ×Ļר×ķת +д аеÑĤ +×Ļ×ij ×ķ +Ġgen ç +ил аÑģ +илаÑģ ÑĮ +ĠبÙĦ د +æĤ ª +æĤª ãģĦ +Ġ×ŀ שת +æ§ĺ ãĢħ +æ§ĺãĢħ ãģª +à¸ĺรรม à¸Ĭาà¸ķิ +ĠÙĥ اÙħÙĦ +ĠاÙĦس Ùħ +×ij×ĺ ×Ļ×Ĺ +c á +g ência +ãĤ¹ãĤ¿ ãĥ¼ +à¸Ĺำ à¸ģาร +×Ļ׾ ת +Ġ×Ļ ×ķצ×IJ +w ój +à¸ļุ à¸Ħ +à¸ļุà¸Ħ à¸Ħล +ع تÙħ +عتÙħ د +ãģĿãĤĮ ãģ« +ĠاÙĦت ارÙĬØ® +ÙĤر اء +Ġyönet im +ק שר +ĠÑģп оÑĢÑĤ +Ġר×IJש ×ķף +Ġseñ al +Ġch ắn +çĦ¡ ãģĦ +ĠдоÑģÑĤ аÑĤ +ĠдоÑģÑĤаÑĤ оÑĩно +Ġá gua +à¸ģร à¸ĵ +à¸ģรà¸ĵ ี +Ġ×ŀש ×ķ +Ġtr ải +ë² Į +ujÄħ cych +Ùģر د +à¹ĥ à¸ģล +à¹ĥà¸ģล à¹ī +ãĤĭ ãģ®ãģ¯ +ר×ķ ×ķ×Ĺ +ÙĨ Ùĥ +ĠاÙĦÙĨ ÙĤ +ãģ®ãģ§ ãģĹãĤĩãģĨ +ãģ®ãģ§ãģĹãĤĩãģĨ ãģĭ +Ùħ عرÙģ +ÙħعرÙģ Ø© +ÑĥÑī е +Ġ×ij×¢ ×Ļקר +ت صÙĦ +Ġ×Ķ×IJ ר +Ġ×Ķ×IJר ×¥ +ĠÅŀ i +à¸Ĥา à¸Ķ +íŀ ĺ +ãģªãĤĵ ãģ¨ +ĠìĤ¬ëŀ ij +l Ã¼ÄŁÃ¼ +ب اء +ĠاÙĦØ¢ خر +Ġfam ÃŃlia +ĠTh áng +Ñī ениÑı +ãĤ¯ ãĥŃ +ĠTh ứ +æĽ¸ ãģį +ен ной +ìŀ ¡ +бл аг +благ о +п ов +à¹ģ ว +à¸ĩ à¸Ħà¹Į +à¸Ńัà¸Ļ à¸Ķัà¸ļ +ãģĤ ãģĴ +ร à¹īาย +ün ün +Ġ×Ļ׼×ķ׾ ×Ķ +з он +ĠÐľ и +маÑĤ еÑĢиал +Ġë³´ ë©´ +ØŃÙģ ظ +ê Ìģ +ãģ« ãģĻãĤĭ +Ġת ×IJ +Ġ×Ķס ×ķ +ĠÑģÑĤ оÑĢ +ĠÑģÑĤоÑĢ он +ãĥĪ ãĥĥãĥĹ +ÅĤo ÅĽÄĩ +ëħ ¼ +ëĵ Ŀ +ĠÙĪاÙĦ ع +ì¶ Ķ +Ġ×Ļצ ×IJ +ĠÑĢаз дел +алÑĮ наÑı +×IJ׳ ש×Ļ +spo ÅĤ +spoÅĤ ec +spoÅĤec zn +Ø¥ عÙĦ +إعÙĦ اÙĨ +ÙĤÙĪ Ùī +íķĺë©´ ìĦľ +تط ÙĪر +Ġsi êu +Ỽ t +д ви +дви ж +Ġqu ần +k ıl +ĠпÑĢи зна +ĠH ã +ĠHã y +ĠباÙĦ ت +man ın +ãĤ« ãĥ« +Ġk á»· +ק ׾×Ļ +ëIJĺ ì§Ģ +تعÙĦ Ùħ +ìĭľ ìĦ¤ +ìĭ ¶ +íĺ ¼ +Ùĥ ÙĬÙģ +売 ãĤĬ +วิ à¸Ĭา +б ал +ĠØ£ ØŃ +Ġдолж ен +รา à¸ĩ +ราà¸ĩ วั +ราà¸ĩวั ล +Ùħ اء +ج ار +Å ļ +Ġ×ŀ×IJ ×ĸ +ר ×ŀ×Ķ +ãģĭãĤĤãģĹãĤĮ ãģªãģĦ +ét ude +czÄħ c +Ġg ór +×ł×¡ ×Ķ +Ùħ ÙĬد +ĠÐŁ еÑĢе +Ø£ خر +ãģĿãģ® å¾Į +à¹Ģà¸Ķียว à¸ģัà¸Ļ +×ŀ ×Ĵ×ķ +×ŀ×Ĵ×ķ ×ķף +д ов +mas ına +×¢ ׳×Ķ +ãĤ± ãĥĥãĥĪ +ס ×¢ +סע ×Ļ×£ +ĠT Æ° +Ġt óc +íĻľ ëıĻ +ĠÐŀ д +ĠÐŀд нако +Ġdol ayı +ؤ Ùĥد +ê³Ħ íļį +׾ ר +в еÑĩ +Ġkh ợi +Ġth ủy +×ĵ ף +ร à¸ģ +à¸ļั à¸ķร +à¹Ģà¸ģ à¹Īา +ĠاÙĦØ« اÙĦ +ĠاÙĦثاÙĦ Ø« +Ġpod rá +ער ×Ļ +ÙĨج اØŃ +Ġkh ắc +ì¸ ¡ +Ä° M +ãĤ» ãĥĥãĥĪ +ż enia +Ġ׾×Ĺ ×ijר +er Ãł +ì ´Ī +Ġkü ç +Ġküç ük +ات ÙĩÙħ +à¸ĭ à¹Į +Ùħشار ÙĥØ© +ĠاÙĦ بط +Ġd ây +ен нÑĭм +à¸Ĺีà¹Ī à¹Ħมà¹Ī +ÙĤ Ùİ +Ġv ượt +Ġtr ì +Ġwp ÅĤyw +A Åŀ +з о +ĠاÙĦس ÙĬد +à¸Ĺะ à¹Ģล +ĠÑģодеÑĢж а +ع Ø·ÙĬ +ĠاÙĦع ÙĨ +èĢħ ãģĮ +à¹Ģ หà¸Ļ +à¹Ģหà¸Ļ ืà¸Ń +Ġb ÃŃ +Ġüzer inden +ĠV Å© +Ġnu ôi +ÙĨ Ùħ +алÑĮ ного +×¢ ×Ļף +ØŃ Ø¶Ø± +ĠоÑĤ дел +ëª ĩ +ìķ ¡ +ĠÙĦدÙĬ Ùĩ +ìĻ ľ +Ġse ktör +Ġвозмож но +ĠÐĶ ж +Ġh ô +äºĭ ãģĮ +иÑĢов ание +алÑĮ ной +Ġ미 êµŃ +ر ØŃÙĦ +ĠÑįк Ñģ +пÑĢав лÑı +Ġnh á»Ŀ +ĠÄij ẩ +ĠÄijẩ y +Ùģ Ùĥر +ĠÙĪØ£ ضاÙģ +ãĥIJ ãĤ¹ +ת×ķ׼ ׳×Ļת +ÑĤел ей +ĠØ¥ÙĦÙĬ Ùĩ +ãģ¨è¨Ģ ãģ£ãģ¦ +Ġдв е +Ġch ấp +ĠL ö +à¸Ħล ิ +à¸Ħลิ à¸Ľ +Ġس ÙĪر +ĠسÙĪر ÙĬا +×ŀ×Ĺ ×ķ +st ä +д об +Ġni á»ĩm +ãģ® 大 +פר×ķ ×Ļק +פר×ķ×Ļק ×ĺ +ĠCh âu +Ġ×ŀ×Ķ ×Ŀ +Ñģк им +ĠполÑĥÑĩ иÑĤÑĮ +ÙĬ ÙĪÙħ +Ø« ÙĪر +פ×ķ׾ ×Ļ×ĺ +פ×ķ׾×Ļ×ĺ ×Ļ +ĠмеÑģÑı ÑĨ +åħ¨ ãģ¦ +ĠاÙĦÙħ جÙĦس +ĠاÙĦت اÙĦÙĬ +Ġ׊ר +åIJij ãģij +׼ ×ŀ×Ķ +б ед +Ø£ عض +أعض اء +ÙĪÙĦ د +วà¹Īา à¸Īะ +Ġb ánh +à¸Ļิ ย +à¸Ļิย ม +à¸Ľà¸£à¸° à¸ģัà¸Ļ +ÑģÑĤав иÑĤÑĮ +à¸ŀ à¸Ļัà¸Ļ +ĠÑį ÑĦÑĦ +ĠÑįÑĦÑĦ екÑĤив +Ġав ÑĤоÑĢ +ĠÄIJ Äĥng +Ġth Æ°á»Łng +ãĤĴ æĦŁãģĺ +à¸ģัà¸ļ à¸ģาร +å¾Į ãģ« +Ġya ÄŁ +ست اÙĨ +Ġli á»ģn +ãģĦ ãģ¾ +i êu +à¹Ĥà¸Ķ à¸Ļ +ĠÙĦ Ø°ÙĦÙĥ +à¹Ĥรà¸ĩ à¹Ģรียà¸Ļ +צ ×Ļ×Ĵ +ĠاÙĦÙħ عÙĦÙĪÙħات +ç§ģ ãģŁãģ¡ +à¸Ĺีà¹Ī à¸Ħุà¸ĵ +ãģ«ãģª ãģ£ãģ¦ãģĦãĤĭ +×ŀ×ĵ ×Ļ׳×Ķ +ס ׼×Ŀ +Ġв не +à¸ŀ à¸Ļัà¸ģà¸ĩาà¸Ļ +ÑĢ ей +à¹Ģà¸Īà¹īา หà¸Ļà¹īาà¸Ĺีà¹Ī +ĠHi á»ĩn +Ġméd ico +ĠتØŃ ÙĤÙĬÙĤ +ÑĮ ÑĤе +miÅŁ ti +ÙĤÙĬ ادة +ãĤı ãģĭãĤĬ +มา à¸Īาà¸ģ +ëħ Ģ +ãģ«éĸ¢ ãģĻãĤĭ +×IJר×Ĵ ×ķף +m ètre +Ġעצ ×ŀ×Ļ +ĠCh úa +รูà¹ī à¸Ī +รูà¹īà¸Ī ัà¸ģ +ì£ Ħ +ëĭ µ +à¹ģà¸Ĺ à¹ī +Ġgeç en +Ġlan ça +ĠاÙĦ بØŃØ« +×ĵ ×ŀ×ķ +ãģ¯ ãģĺ +ãģ¯ãģĺ ãĤģ +Ġdön Ã¼ÅŁ +è¿ij ãģı +à¹Ģส ม +à¹Ģสม à¸Ń +ëĿ ½ +Ġü ç +á» ŀ +ÑĪ аÑı +à¸Ĺ ร +ØŃ ÙĤÙĬÙĤØ© +à¸Ĥà¸Ńà¸ĩ à¸ģาร +Ġ무 ìĹĩ +Ġ×Ķ ׼ר +ĠاÙĦص ÙĬÙĨ +ĠлÑİ Ð´Ð¸ +à¸ķ าย +ب ÙĪÙĦ +Ġvi êm +Ġthi á»ĩu +à¸ģ à¸Ķ +Ġ׾ ×ĵ×ijר +פ ׳×Ķ +×IJר ×ij×¢ +س Ùī +ĠاÙĦسÙĬ اس +ĠاÙĦسÙĬاس ÙĬØ© +yd ı +ÙĪØŃد Ø© +ĠдеÑıÑĤелÑĮ ноÑģÑĤи +Ġ×ķ×Ķ ×ŀ +п еÑĩ +пеÑĩ аÑĤ +иÑĢов аниÑı +ĠÑģ ог +ĠÑģог лаÑģ +Ġ׼ ×ĵ +Ġ׼×ĵ ×IJ×Ļ +ĠиÑģполÑĮзов аÑĤÑĮ +ס פ×ķר×ĺ +Ġil çe +exp érience +ĠTh á»Ŀi +Ä° K +à¹Ħà¸Ł à¸Łà¹īา +ëĵ¤ ìĹIJê²Į +à¸Ľà¸£à¸° à¹Ģà¸ł +à¸Ľà¸£à¸°à¹Ģà¸ł à¸Ĺ +Ġmü mk +Ġmümk ün +Ġ×IJ×ķת ׳×ķ +ìĦ± ìĿĦ +ĠìĿ´ ìľł +زÙĬ ارة +Ġolduk ça +r ób +ĠØ£ ÙĨا +Ġ×Ķ ×ij×Ļ +Ñģ ен +×¢ ×Ļקר +×Ļ×ĵ ×ķ×¢ +d zÄħ +Ùħ عÙĦÙĪÙħات +Ø´ اب +Ġpar ça +à¸Ļะ à¸Ħะ +ب اس +ĠÑĤоÑĢ г +ĠÑĤоÑĢг ов +Ġ×Ĺ ×ĵר +׼ ר×ĺ +׼ר×ĺ ×Ļס +ĠA yrıca +ÃªÌ £ +ìľ ¨ +ĠÑĤак ие +Ġ×ŀצ ×ķ×Ļ +ãĥ©ãĥ³ ãĤŃãĥ³ãĤ° +ש×Ļ×ķ ×ķק +åīį ãģ® +ĠB ảo +Ñī Ñĥ +æĹ© ãģı +ĠPh òng +à¸ŀระ ราà¸Ĭ +פ ×Ĺ×ķת +Ġг л +Ġгл аз +à¸Ĺ à¹Īา +Ġd ạy +ÑĢ оÑģÑĤ +à¹Ĥà¸Ķย à¹Ģà¸īà¸ŀาะ +Ġqu áºŃn +Ġ×Ĺ×ijר ×ķת +m ême +mÄ±ÅŁ tı +ĠاÙĦت داÙĪÙĦ +Ġn ạn +Ġ×Ķ ×ĵ×Ļ +ĠاÙĦØ· رÙĬÙĤ +×Ĵ ×ķת +Ġ×Ķ ×ĵר×ļ +ujÄħ ce +Ġch ữ +ãĤĤãģ® ãģ® +ë° Ľ +ãģķãĤĵ ãģ¯ +Ġyard ım +ĠاÙĦع Ùħ +Ġì§Ħ íĸī +Ġ×Ļ ×Ĺ +Ġ×Ļ×Ĺ ×¡×Ļ +ĠاÙĦÙħ دÙĬÙĨØ© +Ġc ú +à¸ģี ฬ +à¸ģีฬ า +Ġni ên +mis ión +׳×Ļס ×Ļ +׳×Ļס×Ļ ×ķף +Ġвоз ÑĢаÑģÑĤ +Ġ×¢×ķש ×Ķ +ĠÙħ دÙĬر +Ñı ÑģÑĮ +ØŃ Ø¬Ùħ +íĻĺ ê²½ +ĠاÙĦØ£ خرÙī +u ÃŁer +ĠاÙĦعاÙĦÙħ ÙĬØ© +ĠNg á»įc +êµIJ íļĮ +ä¸Ĭ ãģ§ +×Ļ×Ķ ×ķ×ĵ +×Ļ×Ķ×ķ×ĵ ×Ļ×Ŀ +Ùħس اعدة +Ġжиз нÑĮ +ĠпоÑĤ омÑĥ +ĠاÙĦÙħ ÙħÙĦ +ĠاÙĦÙħÙħÙĦ ÙĥØ© +ĠG ör +ر ÙIJ +×ŀק ×ķ×ŀ×ķת +åĩºæĿ¥ ãĤĭ +ÑĦ ÑĤ +ĠìĿ´ ìłľ +ĠÑĢ ем +ĠÑĢем онÑĤ +ת ×ķ×ļ +æĻĤ ãģ¯ +ãĤīãĤĮ ãģªãģĦ +alt ı +家 ãģ® +ĠاÙĦØ¥ عÙĦاÙħ +리 ëĬĶ +ãģĭãĤī ãģ¯ +ĠH ạ +ãģĤ ãģ® +×ĵ×Ļ ×ķף +رÙĬ س +Ġsoci etÃł +ĠاÙĦÙĥ بÙĬر +Ġ×ij ×ŀס +Ġ×ij×ŀס ×Ĵר +Ġ×ij×ŀס×Ĵר ת +ĠìŀĪ ìľ¼ë©° +Ġn ặng +Ùĩ Ùī +ĠB Ãł +×ŀר ×ķ +Ġj ÄĻ +ĠjÄĻ zy +ĠjÄĻzy k +Ġ׼ ×ŀ×ķ×ijף +×¢ ׾×Ķ +à¸Ĺีà¹Ī à¹Ħà¸Ķà¹ī +ãģ¾ ãģĹãĤĩãģĨ +×ŀס פר +Т Ðŀ +سÙĬاس Ø© +Ġкажд Ñĭй +ë² ł +t ım +y á»ĩn +ร ีà¹Ī +ĠдеÑĤ Ñģк +วิà¸ĺี à¸ģาร +m ówi +×ĺ×¢ ×Ŀ +×Ķצ׾ ×Ĺ×Ķ +ض ÙĬÙģ +ĠÑħоÑĤ Ñı +ãĤĵãģ§ ãģĦãĤĭ +à¸Ħา à¸Ķ +à¸Ħร à¸ļ +Ġк ÑĥÑĢÑģ +ĠbaÅŁ arı +×ijר ×ķ +ÙĬع Ø© +ĠÐĿ Ñĥ +à¸Ħวาม à¹Ģà¸Ľà¹ĩà¸Ļ +Ġ׾ ×ŀש׾ +Ġì¢ĭ ìĿĢ +Ùħؤس س +Ùħؤسس ات +Ġpréc is +Ġth ảo +à¸ģà¹ĩ à¸Ħืà¸Ń +Ġש ׼׾ +führ ung +ãģĦ ãģ§ +à¹ģละ มี +à¸ģà¹ĩ มี +Ġש ש +м ел +Ġкни г +ĠباÙĦ ÙĨ +ĠباÙĦÙĨ سبة +Ġald ı +ÑĤ ай +Ġ×Ĺ×ĵ ש×Ļ×Ŀ +å®Ł ãģ¯ +ع ÙĪا +ĠìĿĺ 미 +из м +ÑĢабоÑĤ аÑĤÑĮ +Ùģ ص +Ġ×ij׳ ×ķסף +ãģ¨ãģĹãģ¦ ãĤĤ +à¹Ģà¸Ľà¹ĩà¸Ļ à¸Ĺีà¹Ī +ĠÑģлед ÑĥеÑĤ +èĢĥãģĪ ãģ¦ +Ġ׼ ×Ļ×ķ×Ŀ +ÑģÑĤ Ñĭ +׼׾׼ ׾×Ļ +æµģ ãĤĮ +ãĤĴ ãģ¤ãģij +Ñĩ аÑĤ +×Ļ׼ ×ķף +×Ļר ×Ļ +ları yla +ãĤ¤ ãĥ¡ +ãĤ¤ãĥ¡ ãĥ¼ãĤ¸ +׳×ĸ ק +Ġci ò +Ġs ın +Ġsın ır +à¸Ļ à¸Ħร +к аÑĤ +Ġl á»Ĺi +ëŀ Į +تÙģ اص +تÙģاص ÙĬÙĦ +ëĨ ĵ +ĠÙħ ض +il miÅŁ +بار Ùĥ +ÐĿ Ðĺ +Ġth ẩm +Ġ×IJ×ķת ×ļ +ĠпÑĢин им +ĠпÑĢиним а +Ġyö nt +Ġyönt em +Ġ×ŀק ×ij׾ +Ġktó rego +ê· Ģ +شر Ùģ +د اÙħ +ãģĦãĤį ãģĦãĤį +ĠAl ém +Ġgör ü +Ġgörü nt +Ġgörünt ü +د س +ÑĪ ки +г ÑĢад +Ġl ạc +Ġs ữa +ãĤīãĤĮ ãģ¾ãģĻ +o Ãłi +Ñī ен +ãģĭ ãģªãģĦ +Ġп оп +Ġпоп Ñĥ +ĠпопÑĥ лÑıÑĢ +ĠاÙĦÙħ ÙĪÙĤع +rä g +ï¼ ¡ +íķ Ħ +ãĤĴè¦ĭ ãĤĭ +اÙħ ا +ĠاÙĦØŃ Ø±Ø¨ +ĠÐŁ а +Ġ׾ ×IJתר +Ġt á»ijc +×ij ׾×Ķ +ر ئÙĬس +в Ñĥ +ÙĬ دÙĬ +каз ан +Ġ׊ש×ij×ķף +h ôtel +×¢ ×ķ׳×Ķ +ب ÙĨÙĬ +×ŀ ×ķ׾ +Ġд нÑı +éĽ£ ãģĹãģĦ +вед ениÑı +Ġ×ķ ×ŀת +н апÑĢимеÑĢ +ÙĤ ابÙĦ +Ġrésult at +ĠÑĢазвиÑĤ иÑı +ر Ùij +ìłĦ 문 +ĠاÙĦÙħ زÙĬد +ĠìľĦ íķ´ìĦľ +ëĨ į +íĻ ķ +ĠThi ết +íĮ ¨ +malı dır +Ġcz ÅĤ +ĠczÅĤ owie +ĠczÅĤowie k +ĠÙĦ بÙĨ +ĠÙĦبÙĨ اÙĨ +üs ü +ãģªãĤĵ ãģł +Ġżyc ie +ĠÑħоÑĢоÑĪ о +æĸ¹ ãģ« +ëĭ¤ ë©´ +иÑĩеÑģ каÑı +ער ×Ļ׼ +ער×Ļ׼ ת +ãģ¾ãģĽãĤĵ ãģ§ãģĹãģŁ +ĠÑģоб ой +Ġg á»Ĺ +Ġдел аÑĤÑĮ +da Äĩ +аÑĢ а +róż ni +à¹Ģล ีà¹ī +à¹Ģลีà¹ī ย +à¹Ģลีà¹īย à¸ĩ +à¸Ŀ าà¸ģ +Ġت ÙĤ +ĠتÙĤ دÙĬ +ĠتÙĤدÙĬ Ùħ +หà¸Ļ ุà¹Īม +Ġmü cade +Ġmücade le +ì§Ģ 를 +ãĤ¤ ãĤ¹ +ĠØ£ ساس +jÄħce go +ĠÅŁ eh +н ÑĤеÑĢ +ÑĨи Ñİ +ï» » +ÑİÑī его +à¹Ĥà¸Ľà¸£ à¹ģ +à¹Ĥà¸Ľà¸£à¹ģ à¸ģรม +Ġmie Äĩ +ØŃÙĥÙĪÙħ Ø© +ãģ§ãģĹãģŁ ãģĮ +×Ļס ×Ķ +ãĤĤãģ® ãĤĴ +Ġ×ŀ ×IJת +สุà¸Ķ à¸Ĺà¹īาย +Ġc Å© +ÙĨ سب +ĠпÑĢ оÑĩ +Ġд ней +ĠÑįÑĤи Ñħ +׾ ×ŀת +нÑı Ñı +Ñį к +Ġì§Ģ ëĤľ +มหา วิà¸Ĺยา +มหาวิà¸Ĺยา ล +มหาวิà¸Ĺยาล ัย +d ão +ĠMá y +ĠêµŃ ê°Ģ +à¸ļุ รี +×Ĵ ×Ļ׾ +ĠÑĤÑĭ ÑģÑı +ĠÑĤÑĭÑģÑı Ñĩ +Ùģ Ùĥ +ĠÐĺ Ñģ +è¡Į ãĤıãĤĮ +פר ×ĵ +ãģ¤ ãģį +à¸Ħร à¸Ńà¸ļ +à¸Ħรà¸Ńà¸ļ à¸Ħรัว +à¸Ĥึà¹īà¸Ļ มา +ä»ĬæĹ¥ ãģ¯ +ĠìĤ¬ëŀĮ ìĿ´ +עצ ×ŀ×Ķ +п оÑĢ +ĠK ỳ +Ġ Æ¡n +Ġth Äĥm +Ùģ اÙĤ +ãģļ ãģ« +Ġ׾ קר +Ġ׾קר ×ķ×IJ +اÙģ ÙĬØ© +Ùħ Ùİا +г аÑĢ +ص ÙĦا +صÙĦا Ø© +Ġ×ŀ ×ĸ×Ķ +lı ģını +Ġ×IJ ×Ļ׳×Ķ +к ÑĢо +Ġng Æ°Æ¡i +Ġв ним +Ġвним ание +jÄħ cy +ÙĢÙĢÙĢÙĢ ÙĢ +Ñģ Ñħод +ãģªãĤĵ ãģĭ +×ŀ ×Ļ׾ +Ġ×Ķ×IJ ×Ĺ +ãĤı ãģªãģĦ +ع سÙĥر +ĠìĦ¸ ê³Ħ +ĠÑĩ его +ĠÑģÑĢед ÑģÑĤва +ĠÐł аÑģ +ãģª ãģģ +ÙĨ Ùģس +ר×Ļ ×ķף +Ñģ Ñĥд +ĠìĿ¸ ê°Ħ +ĠاÙĦÙħ ÙĤبÙĦ +ÙĨ عÙħ +تÙĪ Ùģر +ש ×ij×¢ +ı lm +ılm Ä±ÅŁ +Ġ×ľ×ª ת +تص Ùģ +×Ķפ ×ķ×ļ +à¹ĥà¸Ļ à¸Ľà¸µ +ìĿ´ ê³ł +Ùģ ÙĪز +à¸ľà¸¥ à¸ĩาà¸Ļ +ĠGi áo +à¸ļà¸Ńà¸ģ วà¹Īา +Ġd Ä±ÅŁ +ĠdÄ±ÅŁ ında +ì£ ½ +Ġdzie ÅĦ +к ÑĨии +и ÑĨе +ãģ® ä¸Ģ +ع Ø´ +пÑĢ еÑģÑģ +หà¸Ļ à¹Īà¸Ńย +ลัà¸ģษ à¸ĵะ +Ġpossibilit Ãł +à¹Ħà¸Ķà¹īรัà¸ļ à¸ģาร +หย ุà¸Ķ +Ġphi ên +çĶŁ ãģ¾ãĤĮ +Ø· ÙĪÙĦ +ÑĦ ин +f ür +ØŃ ÙĬاة +íĸ ĪìĬµëĭĪëĭ¤ +׼ ׳×ķת +à¸Ľà¸£à¸° ส +à¸Ľà¸£à¸°à¸ª à¸ļ +à¸Ľà¸£à¸°à¸ªà¸ļ à¸ģารà¸ĵà¹Į +ëIJĺ ìĹĪ +Ġkaż dy +Ġl uyá»ĩn +ĠоÑĢганиз аÑĨии +å°ij ãģªãģı +ÑģÑĤÑĢо ен +Ġtécn ico +ק ×Ķ׾ +Ġ×ķ×IJ ×Ĺ +ĠعÙĦÙĬ Ùĥ +Ñī ение +Ġ×Ķ ×Ļ׾×ĵ×Ļ×Ŀ +ÙĪس ائÙĦ +Ġ×ķ ×Ķת +تÙħ ÙĬز +ĠÑģ казал +Ġпол и +Ġ×Ķ×ŀ ס +ÙĦÙij Ùİ +Ùħؤس سة +Ġ×ŀ ×Ļ×ĵ +ãģ£ ãģ¡ +ĠëĦĪ 무 +à¸ŀ ี +Ġt ặng +Ġt ấn +ר ש×Ŀ +Ġméd ica +Ġ×¢ ×ķ×ŀ +Ġ×¢×ķ×ŀ ×ĵ +ÑĦ оÑĢ +Ùħر Ø© +Ġvat anda +Ġvatanda ÅŁ +Ġдел о +à¸Ļ ม +ãģ¨ åIJĮãģĺ +Ùģ Ùī +Ñģ оÑĢ +Ġ×Ķס ר×ĺ +Ġép oca +ìłķ ì±ħ +ĠÑģвÑıз ан +ض رب +ĠÙĦ ÙĨا +Ġuży wa +ĠاÙĦج ÙĬØ´ +Ñİ ÑĢ +×ijס ×ķ×£ +Ġм Ñĥ +ĠмÑĥ зÑĭк +bilit é +Ġma ç +س Ùİ +ت ÙĦÙĥ +ãģ ¬ +ÙĬ ÙĦا +ÑĪ ла +ÙĢÙĢ ÙĢ +Ġод ной +зв ан +ĠÑģ ÑĢаз +ĠÑģÑĢаз Ñĥ +ÙĨ ظÙħ +را Ùĩ +ĠÙĦÙĩ ذا +׼ ×ķר +Ġ×Ķש ×ij×ķ×¢ +Ġ×Ķש ת +ĠQu ảng +ãĥ« ãĥ¼ +ãģĪ ãģªãģĦ +×ĺ ×IJ +Ġmi á»ģn +ĠPh áºŃt +ĠاÙĦس ÙĪÙĤ +Ä Ĥ +ĠاÙĦج Ùħع +ĠاÙĦجÙħع Ø© +ÑİÑī ей +a ÅĤem +عت ÙĤد +Ø£ ÙĦÙħ +Ñģ ке +ĠìĿ´ íķ´ +ÙĨس Ø® +è¨Ģ ãģĦ +д обав +سب ÙĤ +×¢×ķר ר +ÑĤи п +ãģĿãģĵ ãģ§ +vis ión +عÙĪد Ø© +ë¨ ¹ +×ŀ ×ĸר×Ĺ +ĠØ¥ ØŃ +Ġ׾×ij ×Ļף +Ġ׾צ ×IJת +Ġyard ı +Ġyardı mc +Ġyardımc ı +Ä° Z +ק פ×Ķ +tr é +liÄŁ ini +клÑİÑĩ а +Ġüret im +Ġa yrı +ĠkiÅŁ iler +à¸Ħ à¹īà¸Ļ +à¸Ħà¹īà¸Ļ หา +ĠS á»± +Ġ׼ ס +Ġ×Ľ×¡ ×£ +ĠÑĤак иÑħ +ĠXu ân +Ġл ег +Ġлег ко +Ø«ÙĤ اÙģØ© +ÐĿ Ðŀ +ãĤ¹ãĤ¿ ãĥĥ +ãĤ¹ãĤ¿ãĥĥ ãĥķ +åIJĪ ãģĦ +Ġ×Ķש ×Ļ×ŀ×ķש +man ız +ĠÐĴ аÑģ +g ün +ìľĦìĽIJ íļĮ +Ġwsp óln +ĠÑģв ое +í ĥģ +à¹Ģà¸Ļ ีย +ÙĪب Ø© +в Ñıз +ı dır +ëIJĺ ìĹĪëĭ¤ +ĠdeÄŁi ÅŁtir +ãĤĭ ãģĵãģ¨ãģĮ +Ġ×Ĺ×ĵ ש×Ķ +ãĤīãĤĮ ãģ¦ãģĦãĤĭ +×Ĺ×Ļ ×Ļ×ij +ĠÐļ аÑĢ +׳×Ļת ×ķ×Ĺ +Ġק×ĺ ף +ר ×ĸ +ÙĪ غ +èªŃ ãģ¿ +Ġت ÙĤÙĪÙħ +ĠÙĥ اÙĦ +à¸Ŀ ึà¸ģ +Ġë°ľ ìĥĿ +ológ ico +ر اع +à¹ģà¸ģà¹ī à¹Ħà¸Ĥ +ĠÑĢабоÑĤ Ñĥ +ÙĨÙij Ùİ +à¸Ńยูà¹Ī à¸Ĺีà¹Ī +ĠاÙĦØ« اÙĨÙĬØ© +ĠNh ân +Ñħ ваÑĤ +ö ne +Ġع دة +à¹ģ สà¸ĩ +ÑĤ оп +пÑĥÑģ ка +شر اء +ĠÐļ ом +Ġפע ×ķ׾×Ķ +ìĤ¬ ìĿ´ +ìĤ¬ìĿ´ íĬ¸ +è¡Į ãģ£ãģ¦ +Ġ×Ķ ×Ķת +ĠÑģÑĤ оÑĢо +ĠÑģÑĤоÑĢо нÑĭ +در س +à¸ĭ ู +à¸ķà¹Ī ำ +ĠØ£ بÙĬ +под об +ãģ« ãģ¦ +ار تÙģاع +ĠÙħ ؤ +ик ов +ge führt +มืà¸Ń à¸ĸืà¸Ń +ĠÙĦ ÙĤد +ĠØ£ÙĨ Ùij +سÙĬ طر +ãģ¾ãģļ ãģ¯ +ס ×ĵ +Ñģк олÑĮко +ãģ¿ãģŁãģĦ ãģª +×ĵר ×Ĵ +×¢ ×Ļ×ĵ +à¹ĥหà¹ī à¸ļริà¸ģาร +ĠÐĶ и +×ij×¢ ×Ļ×ķת +Ġ×Ķ×Ĺ ×ķ +пиÑģ ÑĮ +ĠاÙĦØ® ÙĦ +б ав +ĠÄ° lk +ĠاÙĦØ® Ùħ +ĠاÙĦØ®Ùħ ÙĬس +ĠÙĬ ÙĤÙĪÙħ +æĻĤ ãģ® +ĠsÅĤ ow +ĠØ£ ÙĩÙħ +Ø®ÙĦ ÙĤ +ĠØ£ صبØŃ +Ġchứ a +Ġth ác +Ùģ اÙĦ +Ġch á»Ŀ +ĠاÙĦØ® ار +ĠاÙĦخار ج +ĠاÙĦخارج ÙĬØ© +Ø· ائر +Ġt Ãł +ĠtÃł u +à¸ģล à¹īà¸Ńà¸ĩ +ĠاÙĦÙħر Ø£ +ĠاÙĦÙħرأ Ø© +åħ¨ ãģı +ĠÃĸ n +çļĦ ãģ«ãģ¯ +Ġpiè ce +×Ĵ ×Ļ×ij +ĠاÙĦ ÙĪاÙĤع +ä»Ĭ ãģ® +ĠاÙĦÙħ ÙĤ +cz nÄħ +Ùģع اÙĦ +ен ного +ĠÑĦак ÑĤ +ìĭł ì²Ń +ĠÐŀ ни +ĠاÙĦبÙĦ اد +ов иÑĩ +ëı Į +ÑĦ ÑĥнкÑĨи +Ġìĸ´ ëĬIJ +ãĥķãĤ© ãĥ¼ +d ÃŃ +ил оÑģÑĮ +Ùħ Ùī +ĠاÙĦØ£ÙħرÙĬ Ùĥ +ĠاÙĦØ£ÙħرÙĬÙĥ ÙĬØ© +×ĺ ×Ļפ×ķ׾ +íĶĦ ë¡ľê·¸ +íĶĦë¡ľê·¸ ëŀ¨ +Ġש ×ķ׳×ķת +Ø´ ÙħÙĦ +ĠпаÑĢ а +Ġ×Ķ×Ĺ ×ķק +ÙĪز ارة +ãģ¨ ãģĻãĤĭ +Ġqu ảng +ĠaÄŁ ır +ĠاÙĦÙĦ ج +ĠاÙĦÙĦج ÙĨØ© +ê¸ ´ +ĠT ân +ج ÙħÙĦ +д ол +à¹ģà¸ŀ à¸Ĺย +à¹ģà¸ŀà¸Ĺย à¹Į +Ġר×IJ ש×Ļ +Ñī ей +Ġçev re +Ġкомп лекÑģ +Ġ×ij ×ŀש×ļ +Ġalt ın +ĠØ£ عÙħاÙĦ +ĠÑģво его +ãĤĪ ãģĦ +×Ĺ׾ ×Ļ×ĺ +×ŀ׳ ×¢ +Ġר ×ij×Ķ +ĠØ£ÙĬضا Ùĭ +×ĸ ׾ +ĠاÙĦسÙĬ اسÙĬ +æĢĿ ãģĨ +קר ק +קרק ×¢ +ĠاÙĦÙģ رÙĬÙĤ +б иÑĤ +ק ׳×Ķ +ĠØ¥ ÙĨÙĩ +ĠÐĴ ам +Ðł Ðŀ +ãĥĪ ãĥª +å¿ħè¦ģ ãģª +Ġch âu +ç¶ļ ãģij +Ġçöz üm +gÅĤ ow +ع ÙĤÙĦ +売 ãĤĭ +i ết +à¸Ĭิ à¹īà¸Ļ +ĠØŃÙĤ ÙĪÙĤ +Ø·ÙĦ ع +ĠÄij en +ĠÙĥ اÙģØ© +ãģ® ãģĶ +Ġë ¬ +Ġë¬ ¼ +Ġ물 ë¡ł +Ġرس ÙĪÙĦ +з ам +зам ен +Ġkullan ıcı +×¢ ×ķ׾ +èī² ãĢħ +ÑĪи ÑĢ +Ġ׊ש +Ġwy gl +Ġwygl Äħda +ש ×Ļ×ŀ×ķש +å¿ĺ ãĤĮ +×¢ ×Ļצ×ķ×ij +ĠاÙĦس ÙĪرÙĬ +å°ij ãģªãģĦ +Ġпо иÑģк +สำ à¸Ļัà¸ģà¸ĩาà¸Ļ +Ġ×ŀצ ×ĵ +Ġmü ÅŁ +ĠmÃ¼ÅŁ ter +ĠmÃ¼ÅŁter i +ĠÙħÙĨ ÙĩÙħ +à¸ķำ à¹ģ +à¸ķำà¹ģ หà¸Ļ +à¸ķำà¹ģหà¸Ļ à¹Īà¸ĩ +ÅĽ mie +Ġש ×ł×ª +Ġ×Ķ פ×Ļ +פר ש +×¢×ijר ×Ļת +สà¸Ļ ัà¸ļ +สà¸Ļัà¸ļ สà¸Ļุ +สà¸Ļัà¸ļสà¸Ļุ à¸Ļ +è¨Ģ ãģ£ãģ¦ +à¸ģาร à¸Īัà¸Ķ +ĠMo że +из аÑĨии +ứ t +ĠÙĪب عد +ĠdeÄŁ ild +ĠdeÄŁild ir +Ġת ×ŀ +Ġ×ŀ×ŀ ׳×ķ +話 ãĤĴ +ĠÑĨ ена +Ġth úc +×Ļ×ŀ ×ķף +ĠB áo +ãĤĴ åıĸãĤĬ +å®ī ãģĦ +Ġ×¢×ķש ×Ļ×Ŀ +èĩªåĪĨ ãģĮ +l ée +ãĤĭ ãģ®ãģ§ +иÑĢÑĥ еÑĤ +ãģ¦ ãĤĭ +ست ر +ĠاÙĦØŃ ÙĬ +×Ļ׾ ×ķת +Ġ×Ĺ ×ij +ÙĤر Ø£ +تÙħ ÙĥÙĨ +س ائÙĦ +prü f +ãģĭ ãģijãģ¦ +ĠÑģоб ÑģÑĤвенно +ĠìľĦ íķĺìŬ +׾ ×Ļ×ĺ +ãģĮ å¤ļãģı +ÙĬت Ùĩا +ç«ĭ ãģ¦ +ม à¸Ńà¸ļ +ìĭľ ìŀ¥ +оÑĢ а +Ġs avaÅŁ +×ĺ×Ļ×ij ×Ļ +×ij ׳×ķ +Ùħا ذا +기 ê°Ħ +ãģªãģ© ãģ§ +Ġ×ŀ ת×Ĺ×Ļ׾ +Ġnhi á»ħ +Ġnhiá»ħ m +ка ÑĢ +каÑĢ ÑĤ +Ġ׾×Ķ שת×ŀש +׳ ×Ļ×Ĺ +اد ÙĬØ© +ราย à¸ĩาà¸Ļ +Ġprzy kÅĤad +Ñī ий +ØŃض ÙĪر +Ġh ôn +à Ŀ +ת ×ķצ×IJ×ķת +راب Ø· +Ġb ếp +ĠполÑĥÑĩ и +åĩºä¼ļãģĦ ç³» +à¸Ľà¸¥ à¹Īà¸Ńย +ĠاÙĦØ´ باب +اÙĩ ÙĦ +ä»Ĭ ãģ¾ãģ§ +رج ع +ãĤ¶ ãĥ¼ +ÙĤ Ùģ +ĠGro ÃŁ +ĠíļĮ ìĽIJ +اج ر +Ġ×ij×ŀ קר×Ķ +Ġseg urança +fü hl +ãģ¦ ãģĦãģı +หม à¸Ń +ĠкоÑĤоÑĢ ом +ĠN Äĥm +ĠdÅĤ ugo +ÙħÙĨ ØŃ +ש×ķ ×ķ×Ļ +ĠØ£ÙĬ اÙħ +ส à¸łà¸²à¸ŀ +r zÄħ +شر Ùĥات +ãĤĴ èĢĥãģĪ +д аÑĢ +à¸Ľà¸£à¸° à¸Ĭุม +Ġ×ķ×IJ ×ĸ +i á»ĩn +Ġt Æ°Æ¡i +ש ×Ļ×Ĺ +à¸Ń à¹Īà¸Ńà¸Ļ +æĽ¸ ãģĦãģ¦ +Ġng ữ +×ij×Ļ×ĺ ×Ĺ +×ij×Ļ×ĺ×Ĺ ×ķף +Ġs ẵ +Ġsẵ n +ì§Ģ ëıĦ +ĠпÑĢ еп +ĠпÑĢеп аÑĢаÑĤ +Ġна ÑĥÑĩ +ĠÃľ nivers +ĠÃľnivers ites +ĠÃľniversites i +Ġ×Ĵ×ĵ ×ķ׾×Ķ +Ġ×Ķ ×ł×ª +Ġ×Ķ×ł×ª ×ij×¢ +ãģ§ãģĤ ãģ£ãģŁ +Ġmies iÄħ +ĠmiesiÄħ c +г ÑĢам +гÑĢам м +Ġبش Ø£ÙĨ +ĠÑħ ÑĢ +ק ×Ļ×ĵ +ק×Ļ×ĵ ×ķ×Ŀ +Ø´ Ùĥر +Ġ á»ķ +Ġá»ķ n +ãģĮãģĤ ãģ£ãģ¦ +ãģķãĤĮ ãģ¾ãģĻ +Ġ×Ĺ ×ķ×ĵ +Ġ×Ĺ×ķ×ĵ ש×Ļ×Ŀ +ÙħÙĪا جÙĩ +ÙħÙĪاجÙĩ Ø© +أش خاص +ب غ +à¹Ģรียà¸Ļ รูà¹ī +ãģĹãģ¦ ãģĦãģı +Ġs ạn +å¿ħ ãģļ +׳ ×Ļ×Ĵ +׳×Ļ×Ĵ ×ķ×ĵ +باÙĦ غ +׊ש×ŀ +×Ĺש×ŀ ׾ +Ġnap raw +Ġnapraw dÄĻ +Ø´Ùĩ اد +×IJ ×ķ×Ķ +×IJ×ķ×Ķ ×ij +и ÑĨÑĭ +Ġ×Ķ ר׼×ij +ëŀ ij +Ġת ×¢ +Ġ×Ķ ×Ļש +Ġ×Ķ×Ļש ר×IJ +Ġ×Ķ×Ļשר×IJ ׾×Ļ +Ø£ ÙħÙĨ +ÑİÑī аÑı +sk ór +LER Ä° +Ġ×Ķ×IJ×Ĺר ×ķף +×¢ ׳ק +ĠÙĪ ÙĥÙĦ +ãģĵãģĵ ãģ§ +Ġqu án +liÄŁ in +à¸ģà¸İ หมาย +Ø· Ùħ +Ø£ جÙĩ +أجÙĩ زة +ĠEr doÄŁan +ãģ§ ãģĬ +Ġв ÑĢа +ĠвÑĢа Ñĩ +ĠPh ó +à¸Ĭั à¹Īว +à¸Ĭัà¹Īว à¹Ĥม +à¸Ĭัà¹Īวà¹Ĥม à¸ĩ +Ġph úc +×Ļפ ×ķת +×¢×Ļ ×ķף +Ġduż o +ãĥģ ãĥ¼ãĥł +ĠÙĬ Ùİ +Ġзад аÑĩ +Ġ×Ĵ×ij×ķ×Ķ ×Ķ +Ġ׼ ׼׾ +лож ен +ét at +Ġng Äĥn +èµ· ãģį +ĠTi ến +ص عب +Ġexperi ência +Ø® Ùħ +à¸ģาร à¸Ĺำà¸ĩาà¸Ļ +س ÙĬد +ĠD á»± +ĠкоÑĤоÑĢ ого +lad ıģı +Ġkh á»ķ +Ġê³Ħ ìĨį +Ñī ик +สà¹Īวà¸Ļ à¸ķัว +з оÑĢ +ÙĨ Ùı +Ġ à¸Ķัà¸ĩ +Ġà¸Ķัà¸ĩ à¸Ļัà¹īà¸Ļ +Ġc ấu +ĠÄij á»ijc +о ÑĦ +ĠاÙĦØ£ عÙħاÙĦ +ãģªãģı ãģ¦ãĤĤ +×ķ׼ ×Ļ×Ŀ +à¹ģ à¸Ľ +ĠB ên +ãĥ¯ ãĥ³ +Ġgi ám +ĠÅŀ u +Ġd áng +ع ÙĦÙĬ +à¹Ģà¸ģ ษ +à¹Ģà¸ģษ à¸ķร +ÙĪج ب +н нÑĭе +ÙĤ ضاء +à¸Ħว à¸ļ +à¸Ħวà¸ļ à¸Ħุ +à¸Ħวà¸ļà¸Ħุ ม +ãģ¤ ãģ¤ +ĠVi á»ĩc +×ŀ×ij ×ĺ +ש×Ļת ×ķ×£ +Ġв едÑĮ +k aza +kaza ÅĤ +à¸ķำ รวà¸Ī +ãĤ¿ ãĥ« +Ġпов Ñĭ +ĠповÑĭ ÑĪен +ĠS ợ +ĠìĦ¤ ëªħ +ĠÃĩ ünkü +ìĥĿ íĻľ +Ö ¾ +ãĤĮ ãģ¦ãģĦãĤĭ +Ġ×ij ר×IJש +ר ×ķ×Ĵ +Ġо ÑĦи +ĠоÑĦи ÑĨиалÑĮн +ĠÑĥ ÑģÑĤанов +ĠÑĥÑģÑĤанов лен +ĠاÙĦÙħ صر +ĠاÙĦÙħصر ÙĬØ© +ĠÐŁÐ¾ ÑįÑĤомÑĥ +ÙĨ صÙģ +ĠÙĪاÙĦ ÙĨ +Ġh Ãłi +à¸Ħ ิ +ĠApr ès +ì³ IJ +à¹Ģà¸ĭ ีย +×ĵ ×ŀ×Ķ +activ ité +à¸Ħิà¸Ķ วà¹Īา +ÑĤ ÑĢен +à¹Ģ ฮ +ãĥı ãĤ¤ +ãģĮ å¢ĹãģĪ +ен наÑı +Ġìĺ¤ ëĬĺ +ãĥ¢ ãĥ³ +Ġкон еÑĩно +ĠÙħÙĤ ابÙĦ +cl é +Ġh ü +Ġth ẳng +ìłģ ìĿ´ +ĠÐIJ лекÑģ +ĠÐIJлекÑģ ан +ĠÐIJлекÑģан дÑĢ +ãĥŀãĥ³ ãĤ·ãĥ§ãĥ³ +ãģ²ãģ¨ ãģ¤ +ãģª ãģĬ +à¹Ģà¸Īà¹īา à¸Ĥà¸Ńà¸ĩ +ëĵľ 리 +Ø´ اء +ĠsaÄŁ lık +ĠÅŁ imdi +×Ļ×IJ ׾ +تأ Ø«ÙĬر +Ø£ سب +أسب اب +ĠвÑĭполн ен +л ок +ש ×Ļ×ij×Ķ +Ġl ắm +ĠTr Æ°á»Ľc +Ġ×Ķ×¢ ׾ +리 를 +ĠÑĢ еж +ĠÑĢеж им +int é +inté gr +×Ĵ ׳×Ļ +ĠاÙĦØ´ عر +Ġmil hões +Ġpeque ño +ãĤ³ ãĥ¼ãĤ¹ +×ķ׼ ×Ĺ +à¹Ģà¸Ĭ à¹īา +شر ÙĤ +Ġh Æ°Æ¡ng +รัà¸IJ à¸ļาล +à¸ģล าย +à¸ģลาย à¹Ģà¸Ľà¹ĩà¸Ļ +Ġпод Ñħод +תש ×ķ×ij×Ķ +ãģıãģª ãģ£ãģ¦ +ĠاÙĦØ£Ùħ Ùħ +ĠH á»įc +ĠwspóÅĤ pr +ĠwspóÅĤpr ac +Ñĩ Ñĥв +ÑĩÑĥв ÑģÑĤв +ÃŃst ico +à¹Ģà¸ģ าะ +ìĽ Ģ +Ġназ ад +ãĤĭ ãĤĪãģĨãģ« +ĠС Ш +ĠСШ ÐIJ +м он +ĠAs ÃŃ +×ķר ×Ĵ +полн ен +×ŀס ׾ +×ŀ×¡×ľ ×ķ׾ +à¹Ģลืà¸Ń à¸Ķ +à¹Ģริà¹Īม à¸ķà¹īà¸Ļ +ĠاÙĦØ¥ Ùħ +ĠاÙĦØ¥Ùħ ارات +צ×Ķ ר +ãĥ¡ãĥª ãĥĥãĥĪ +ĠпоÑĤ ом +в из +ĠÙģ ترة +å¾Į ãģ® +ÐĿ ÐIJ +×ŀס ר +ÙĬر ÙĬ +pr é +Ġte ÅŁek +ĠteÅŁek kür +Ġöd eme +د اÙĨ +ãģ¾ ãģĹãģ¦ +缮 ãģ« +ĠÑĤ еÑĩение +l ard +lard ır +à¹Ģรา à¸Īะ +ס פ×Ļ +ĠÙĪÙĥ Ø°ÙĦÙĥ +Ġh át +Ġt á»Ļc +à¸Ħุ ย +Ġb ức +ØŃ ÙĬÙĨ +èģŀ ãģĦãģ¦ +Ùħؤ شر +ĠNh Æ° +Ġмен ее +ละ à¸Ħร +Ñģ ин +ĠÑĢ ек +ĠÑĢек л +ĠÑĢекл ам +ĠÙģ ÙĩÙĪ +Ġ׾ ×ĸ +×Ļ׳ ×ķת +ĠÅŁ art +ÑģÑĤав ка +Ġíı¬ íķ¨ +ãģ«è¡Į ãģı +ï¼ Ŀ +ĠпозволÑı еÑĤ +Ġת×ķ׼ ׾×ķ +ов ал +صÙĦ Ø© +Ġ׾ש ׳×ķת +ĠÐĺ гÑĢ +ÙħÙĨتج ات +Ġsat Ä±ÅŁ +Ñģ ко +ĠاÙĦØ«ÙĦاث اء +Ġ×Ķ×ĵ×ijר ×Ļ×Ŀ +ãģĹãģ¾ ãģĹãĤĩãģĨ +بÙĤ Ùī +åĬĽ ãĤĴ +ĠÃĩ ok +ãĥģ ãĥ¥ +à¹Ģà¸Ĭ ืà¹īà¸Ń +ยุ à¸Ħ +ศา ล +Ġק×ķ×ĵ ×Ŀ +×ĸר ×Ļ×Ŀ +ãģ® åł´åIJĪ +ĠìķĬ ìķĺ +ãģĤãĤĬãģ¾ãģĻ ãģĮ +×IJ שר +è¡Į ãģı +ãģ» ãģĭ +æ°Ĺ ãģ«ãģªãĤĭ +й деÑĤ +íķĺìĺĢ ëĭ¤ +ستÙħر ار +ĠÐŁÑĢ е +ĠÑģ боÑĢ +ĠìķĦ 무 +ç§ģ ãĤĤ +ع ص +Ġн иÑĩ +ĠниÑĩ его +ĠпÑĢи ем +ק ×ķ×ŀ +ĠìĪĺ ëıĦ +Ġì ¡´ +Ġì¡´ ìŀ¬ +ĠØ£ Ø«ÙĨ +ĠأثÙĨ اء +ĠÙĪاÙĦ ØŃ +ãģĮ ãģ§ãģįãĤĭ +Ġת ×Ķ +Ġת×Ķ ×Ļ×Ķ +ר ף +ĠÑģвÑıз и +×Ĵ שת +Ñģп екÑĤ +ס ×ij×Ļ×ij +ס×ij×Ļ×ij ×Ķ +ĠíķĦìļĶ íķľ +ت خصص +Ġж ив +Ġжив оÑĤ +ĠMay ıs +تع ا +تعا ÙĪÙĨ +ĠعÙĨ Ùĩا +ów ki +ĠاÙĦÙģÙĦسطÙĬÙĨ ÙĬ +ãģłãģijãģ§ ãģªãģı +ìĿ¸ ì§Ģ +ĠاÙĦس ÙĪد +ĠاÙĦسÙĪد اÙĨ +إجراء ات +Ġkö tü +Ġ×Ļ תר +×Ĵ ×Ļש×Ķ +Ġצ ×ķר×ļ +รà¸ĸ ย +รà¸ĸย à¸Ļà¸ķà¹Į +Ñħ оÑĤ +Ðł ÐIJ +ÙĪ Ø·ÙĨ +Ġsay ısı +ס ×Ĺר +Ùħ ÙĪÙĦ +ãĤĴæĮģ ãģ£ãģ¦ +ع اÙĨ +Ġt á»Ļi +ĠвÑĭ ÑĪе +Ġt ầm +ãĥĪ ãĥ¬ +×Ļצ ×ķ +ม ุม +س ÙĪد +ìłĦ ìŀIJ +ãĤµ ãĥŃãĥ³ +ìĤ° ìĹħ +ĠоÑģнов ан +Ø® Ùģض +רצ ×Ķ +بÙĬ ض +×ķÖ ¹ +ס×Ļ ×Ļ×¢ +Ġש ×IJ×Ļ +ĠاÙĦÙĤر Ø¢ÙĨ +ĠТак же +×ŀש ×ŀ×¢×ķת +س ÙĩÙĦ +Ġ×Ķ ׳×Ķ +ãĤĴ ãģĹãģ¦ãģĦãĤĭ +×Ļ ×Ļס +×Ķ ×ķ×IJ +ĠB ÃŃ +Ġмал о +ĠëĶ°ëĿ¼ ìĦľ +Ġר ×Ĺ×ij +ãģĮ é«ĺãģĦ +ÙĪ اس +ìĤ ¼ +׳ ×¢ +ãģ£ ãģ¡ãĤĥ +ĠT üm +à¸Ńีà¸ģ à¸Ķà¹īวย +ãģĹãģ¦ ãģıãģłãģķãģĦ +ÙĨØ´ اط +ãĥĹ ãĥ©ãĥ³ +али ÑģÑĮ +×ĵ ×ľ×ª +Ġwc zeÅĽ +ĠwczeÅĽ niej +ĠÑįÑĤ им +Ġthá»ĭ t +à¸ļ ัà¸į +à¸ļัà¸į à¸Ĭี +ãģļ ãģ£ãģ¨ +ÑĢ ин +Ġswo jÄħ +íķĺëĬĶ ëį° +Ġë§Įëĵ¤ ìĸ´ +تش Ùĥ +تشÙĥ ÙĬÙĦ +ائ Ùĩ +Ġ׾פ ×Ĺ×ķת +ãĥĭ ãĥ¥ +ãĥĭãĥ¥ ãĥ¼ãĤ¹ +׼×IJ ף +ãģ§ãģį ãģŁ +зв он +Ġsta ÅĤ +×Ĺ×ijר ת×Ļ +ĠØ£ عÙĦÙĨ +à¹ģà¸ļà¸ļ à¸Ļีà¹ī +بد Ø¡ +ãĤģ ãģŁ +Ġ×ŀש ×ŀ×¢×ķת +Ġ×ŀש×ŀ×¢×ķת ×Ļ +ör ü +Ġh ạnh +z ähl +ĠL ý +Ġ×ij ×Ķת +Ġ×ij×Ķת ×IJ×Ŀ +б аÑĢ +ì¦ Ī +ä»ĬåĽŀ ãģ® +Ġy ü +Ġyü ks +Ġyüks el +ãĤ½ ãĥ¼ +ãģĤ ãĤĮ +ת ׾×ŀ×Ļ×ĵ +ãģ¤ ãģª +×ij ׳×Ļ×Ŀ +Ġx ếp +ĠмÑĥж Ñĩин +ĠاÙĦÙĥ تاب +׼ ×ŀ×ķת +Ġç e +Ġçe ÅŁ +ĠçeÅŁ it +ĠçeÅŁit li +×ĵ ×Ļר×ķת +à¸ļุ à¸į +ĠاÙĦØ¥ ÙĦÙĥ +ĠاÙĦØ¥ÙĦÙĥ ترÙĪ +ĠاÙĦØ¥ÙĦÙĥترÙĪ ÙĨÙĬ +ĠباÙĦØ¥ ض +ĠباÙĦإض اÙģØ© +Ġyö nel +Ġyönel ik +mys ÅĤ +à¸Ķà¹īวย à¸ģาร +à¸ģาร à¸Ĺำ +ов Ñĭм +Ø£ زÙħØ© +æİ¢ ãģĹ +íļ ¨ +Ġ×ķ×IJ ×Ŀ +Ġnghi êm +ÑĪ ин +ка л +Ġcrian ças +èĩªåĪĨ ãģ§ +Ġн ай +Ġнай ÑĤи +ĠS á»ij +ĠÃ¶ÄŁrenc iler +ãĥ¶ æľĪ +Ñģ ан +ĠJ á +ĠkonuÅŁ ma +شر Ø· +ëĪ Ī +ar rière +ضر ÙĪرة +ãĥĶ ãĥ³ +×¢ שר +аÑĢ ÑĮ +جÙħ اع +Ġdé co +Ġ×Ļ×Ķ ×ķ×ĵ×Ļ +à¸ŀ ลาà¸Ķ +ĠÙĬ ÙĥÙĨ +Ġج اÙħعة +Ø· بÙĤ +Ġbo ÅŁ +×ķ ×ķ×IJ +×ŀ×ĵ ×¢ +ק×ij×ķצ ת +פ ×Ļר +jÄħc ym +ÙħØ´ ا +Ùħشا ÙĥÙĦ +צ פ×ķף +Ø¥ ست +×ŀ׼ ר +سÙħ ع +Ġкак ой +ÑĤ воÑĢ +ØŃ Ø¬ +Ùģر ض +пÑĢав лен +Ġник ак +Ġmi á»ĩ +Ġmiá»ĩ ng +ü ÃŁ +иÑĢов ал +׾ ×ŀ×ķת +次 ãģ® +ÙĦ Ø· +à¸ķ ัà¸Ļ +×Ķ ת×Ĺ×Ļ׾ +Ġfoto ÄŁ +ĠfotoÄŁ raf +طر ØŃ +à¸Ńà¸Ńà¸ģ à¹Ħà¸Ľ +Ġy ên +Ġп ок +Ġпок Ñĥп +ĠпокÑĥп а +ÑĨ Ñĥ +Ġкомп ÑĮÑİ +ĠкомпÑĮÑİ ÑĤеÑĢ +ĠاÙĦÙĥ رÙĬÙħ +تص Ùħ +تصÙħ ÙĬÙħ +Ġоказ а +Ġzar ówn +Ġzarówn o +ëĮĢ ì¶ľ +ãĤ»ãĥ³ ãĤ¿ãĥ¼ +Ġjako ÅĽci +æĤ © +æĤ© ãģ¿ +Ø£ÙĨ ÙĪ +Ø£ÙĨÙĪ اع +ë¹ ł +Ġìłķ ë§IJ +Ġk ẻ +ĠÑģай ÑĤа +Ġ×Ķ ער×ij +Ùĩ ز +pres ión +ĠÑģÑĤ ен +ãģ£ãģ¦ ãĤĭ +Ġhız lı +Ðļ ÐIJ +×ŀשפ ×Ĺת +ĠÙĨ Ùĩا +ĠÙĨÙĩا ÙĬØ© +ãģ¾ ãģĦ +о ÑħÑĢан +ร à¹īà¸Ńย +ล ึà¸ģ +ĠÙĪب اÙĦ +ãĤĤãģ® ãģĮ +ר׼ ×Ļ×ij +ãĤ¤ ãĥ¤ +س ؤ +سؤ اÙĦ +ĠÙĦØ£ÙĨ Ùĩ +ĠkonuÅŁ tu +Ðļ ÑĥпиÑĤÑĮ +Ġש×IJת ×Ķ +ĠÙĪاÙĦ س +Ġmożliwo ÅĽci +Ġpró b +ëĶ ° +ãģ© ãĤĮ +ĠÐľ ин +ĠоÑĢганиз м +ãģ«å¯¾ ãģĻãĤĭ +ĠPr é +Ġpriv é +ch è +ãģĦãģŁãģł ãģį +สà¸Ļุ à¸ģ +ajÄħ ce +ĠD zi +ĠDzi ÄĻki +ÅĤat w +r än +rän k +æĿ¥ ãģŁ +Ġ×Ķ×Ļ×Ķ ×ķ×ĵ×Ļ +ãĤ¬ ãĥ¼ +ĠÑĢаР´ +ĠÑĢад и +к ÑĤив +Ø£ Ùĩد +Ø£Ùĩد اÙģ +ש ×IJ×Ļר +ãģ¦ ãģĦãģªãģĦ +Ġfr üh +Ġок ол +Ġокол о +Ġreg ião +ĠÑĩиÑģ ле +Ġpon iew +Ġponiew aż +ìĦ¼ íĦ° +Ġb ầu +Ġê · +Ġê· ľ +Ġê·ľ ìłķ +ĠH òa +ĠÑĤ оÑĤ +ãĤĤ å¤ļãģĦ +ĠاÙĦإسÙĦاÙħ ÙĬØ© +ãģĭ ãģĦ +Ñį н +ĠÑĥказ ан +ĠÑĤак ое +ï¼ ³ +ëĮĢ íķĻ +Ġgen iÅŁ +ĠاÙĦØ® ÙĬ +ĠاÙĦØ®ÙĬ ارات +ãĤĴè¡Į ãģĨ +ש ×ŀ×Ķ +ĠLÃł m +ÙĪÙĨ ÙĬ +Ġ×IJ ׾×Ļ×ķ +Ä ĺ +à¹Ħมà¹Ī สามารà¸ĸ +人 ãģ¨ +بر ز +×Ļס ×ķ×ĵ +×Ĵ ׾×Ļ +ĠÙĬ ÙĨا +ĠÙĬÙĨا ÙĬر +ĠкаÑĢÑĤ ин +Ġt ôn +à¹Ģ à¸ģร +à¸Ħ à¸Ķี +Ġ׾×IJ ×ķר×ļ +ãĤĤãĤī ãģĨ +ãģĭ ãģĭãĤĭ +ани и +Ġara ÅŁtırma +ÙĦاØŃ Ø¸ +ãģĦ ãĤĦ +ĠT Ãłi +Ġ à¸Ļà¸Ńà¸ģà¸Īาà¸ģ +Ġà¸Ļà¸Ńà¸ģà¸Īาà¸ģ à¸Ļีà¹ī +ĠÄIJ ảng +ãģ£ãģ¦ ãģįãģŁ +Ġà¸ĭึà¹Īà¸ĩ à¹Ģà¸Ľà¹ĩà¸Ļ +Ġt ả +Ġmożliwo ÅĽÄĩ +ĠS ản +ĠÄ° ki +Ġc ắt +س Ø£ÙĦ +Ġbak ım +Ø´ ب +à¸ķ ีà¹ī +à¸ŀ ยาย +à¸ŀยาย าม +สั à¸Ľ +à¸ªà¸±à¸Ľ à¸Ķา +à¸ªà¸±à¸Ľà¸Ķา หà¹Į +ë° Ģ +еÑĢ Ñĭ +Ġc ánh +Ġthu ế +ت بع +ãģ«åħ¥ ãĤĮ +Ñİ ÑģÑĮ +íļĮ ìĿĺ +ç°¡ åį +ç°¡åį ĺ +ç°¡åįĺ ãģ« +Ġtr úc +ĠاÙĦÙĥ ÙĪÙĬ +ĠاÙĦÙĥÙĪÙĬ ت +ãĤıãģij ãģ§ãģĻ +ĠÑģв об +ĠÑģвоб од +ĠÑĥÑĩаÑģÑĤ ник +สิ à¹īà¸Ļ +ĠпÑĢо ÑĦеÑģÑģиона +ĠпÑĢоÑĦеÑģÑģиона лÑĮн +Ñģп оÑĢ +×Ĺ ×ķ×ij×Ķ +Ùħع ÙĨÙī +ĠاÙĦÙģ ترة +สูà¸ĩ สุà¸Ķ +ãĤı ãģļ +ĠÄij è +ĠÄijè n +æ¯Ķ ãģ¹ +า à¸ĺิ +Ġmoż emy +à¹ģ à¸ĭ +à¸Īะ à¹Ħมà¹Ī +Ġs ắp +Ðļ Ðŀ +Ġprá ctica +ÙĪÙĥ اÙĦØ© +è¾¼ ãĤĵãģ§ +ológ ica +Ġе Ñī +ĠеÑī Ñij +تع دÙĬÙĦ +ĠØ£ Ùĥد +Ġצר ×Ļ׼ +Ġצר×Ļ׼ ×Ļ×Ŀ +Ø« Ùħ +Ġк ÑĢÑĥ +ĠкÑĢÑĥ п +×ij×Ļק ×ķרת +Ġì¡° ê¸Ī +ãģ¨ãģį ãģ¯ +Ġb ạc +ĠÑĢаÑģ пол +ĠÑĢаÑģпол ож +ĠÑĢаÑģполож ен +ز ÙĬÙĨ +ĠÐļ ÑĢоме +ĠاÙĦÙĨ ظر +×Ķ ×ķ×ĵ +ĠاÙĦس بت +ãģ¨æĢĿ ãģĦ +Ġpa ÅĦst +ĠpaÅĦst w +ĠÙĦÙĬ ست +ĠбÑĥд Ñĥ +à¸Ĺัà¸Ļ à¸Ĺี +ร าม +ØŃ ØµÙĪÙĦ +ãģĹãģ¦ãģıãĤĮ ãĤĭ +ĠاÙĦØ¥ سرائÙĬÙĦ +ĠاÙĦإسرائÙĬÙĦ ÙĬ +ãģĵãĤĮ ãģ¾ãģ§ +ìĤ¬ 를 +Ġs ürü +à¹Ģว à¸Ńรà¹Į +à¹Ģà¸ĭ à¸Ńรà¹Į +Ġutilis é +ĠÑģиÑģÑĤем а +Ġdw ó +Ġdwó ch +Ġpróp rio +Ġëĵ± ìĿĦ +arr êt +ĠЧ а +×IJ×ŀ ׳×ķת +عار ض +à¹Ģà¸ģม สà¹Į +Ġ׾×Ķ ×ij×Ļף +Ġ׾ ×ij×Ĺ +Ġ׾×ij×Ĺ ×ķר +สา à¸Ĥา +ĠÐľÐ¾Ñģк ве +ب عد +ĠاÙĦÙĤر ار +ĠÄIJ á»ĭa +Ġ×Ĺ ×Ĵ +Ùģ تر +ÙĪÙĨ Ø© +Ġ×Ķ×ĸ ×IJת +å¸Ĥ ãģ® +ãģ» ãģĹãģĦ +Ġ×ij×¢ ×Ļר +ĠÑĤеп еÑĢÑĮ +ìĬµ ëĭĪê¹Į +à¹Ħม à¹Īว +à¹Ħมà¹Īว à¹Īา +à¹Ħมà¹Īวà¹Īา à¸Īะ +×ŀ ×IJ×Ķ +æĥħ åł± +æĥħåł± ãĤĴ +غ ÙĨ +Ġпо Ñı +ĠпоÑı ви +éģİ ãģĶ +تش غ +تشغ ÙĬÙĦ +в ел +Ġ×Ĺ ×ŀ +ãģ¨ãģªãĤĬ ãģ¾ãģĻ +Ġra ÄŁ +ĠraÄŁ men +ãģĭ ãģ©ãģĨ +ãģĭãģ©ãģĨ ãģĭ +ен ко +ì§Ģ ê³ł +Ġ×IJ׾ ×Ļ×Ķ +ĠØ£ ÙĦ +à¸Īำ หà¸Ļ +à¸Īำหà¸Ļ à¹Īาย +nız ı +Ġ׾ק ×Ĺת +Ø£ ÙĩÙħ +Ø£ÙĩÙħ ÙĬØ© +ت غÙĬر +ש ×Ĺר +ס×ķפ ר +×ĵ ×Ļר +èī¯ ãģĭãģ£ãģŁ +×ŀ׾×Ĺ ×ŀ×Ķ +ÑģÑĤв ие +ÑĤ ÑĢаÑĤ +ĠاÙĦØ£ Ø® +ĠاÙĦأخ ÙĬرة +ĠاÙĦØŃ ØµÙĪÙĦ +Ġcréd ito +צ ×Ļ×¢ +ãĥ¬ ãĥĻãĥ« +بر ÙĬ +ëIJ IJ +ãģł ãģ£ãģ¦ +Ġreal tÃł +س Ùģر +×ķ׳ ×ķ +×Ĵ ×ķ×ĵ +×Ĵ×ķ×ĵ ׾ +ฮ า +ãģĹãģ¦ ãģĬãĤĬãģ¾ãģĻ +Ġg Ãł +Ġ׾×ij צע +å¼ķ è¶ĬãģĹ +Ġ×ŀ ×Ļ׾×Ļ +Ġ×ŀ×Ļ׾×Ļ ×ķף +Ùħ در +Ùħدر سة +פ ×ķ×ĺ +à¸Ļà¹īำ มัà¸Ļ +ëģ Ŀ +ع Ùĥس +ĠÙĤ ض +ĠÑĢÑĭ б +خط Ø· +×ŀ×ķס ×ĵ +Ġ׼׾ ׾×Ļ +ĠкоÑĤоÑĢ ое +צ×Ļ ×ķף +ĠмеÑģÑĤ а +ãģĭ ãģ¤ +г ÑĢÑĥпп +׾ ×Ļ׾ +ת ×ķ×IJר +ë³µ ì§Ģ +à¹ģà¸ľ à¹Īà¸Ļ +Ġ×ij×¢ ת +æĻĤéĸĵ ãĤĴ +ï¼ £ +ãģ¨ãģĦãģĨãģĵãģ¨ ãģ§ +Ġ׾×Ķ ק +Ġ׾ ×ĸ×Ķ +ĠìłĢ ëĬĶ +ĠاÙĦØ¥ رÙĩاب +ĠìŀĪëĬĶ ëį° +ĠÑĤ огда +Ġ×Ķ צ×Ļ +×ķ׾ ×ĺ +Ġר פ×ķ×IJ×Ļ +ãģĵãģ¨ ãģ§ãģĻ +ĠÄij ÃŃch +ØŃ ÙĬا +Ġ×Ķ×ŀש ×Ĺק +ãģľ ãģ² +Ġ×ŀ×IJ פשר +ãģ¿ ãģ¾ãģĹãģŁ +ĠاÙĦØ£ÙħÙĬر ÙĥÙĬ +Ùħج تÙħع +Ġس اب +Ġساب ÙĤ +׼ ×Ļ׾ +Ạ¾ +ãĥª ãĤ¹ãĥĪ +Ġì ĥ +Ġìĥ Ī +ĠìĥĪ ë¡ľ +ĠìĥĪë¡ľ ìļ´ +ĠD á»ĭch +à¹Ģหมาะ สม +ĠاÙĦÙĨ بÙĬ +׾ ׾ +ÙĨ ع +Ðĵ лав +Ðĵлав наÑı +Ùħر ض +Ġ×ķ ×ĵ +ت ÙĤÙĬ +تÙĤÙĬ ÙĬÙħ +Ġb ảng +ĠÙģ ÙĤاÙĦ +×¢ ×ŀ×Ļ +д ÑĢа +Ġsu á»ijt +سر عة +Ġc á»Ń +Ġ×Ķ ×Ļ×Ĺ×Ļ×ĵ +سع ÙĬد +à¸Ńา à¸Ĭีà¸ŀ +Ġس ÙĪاء +ãĤ½ ãĥķãĥĪ +Ġл иÑĩно +ĠÐļ оÑĢ +اÙĩ تÙħ +اÙĩتÙħ اÙħ +à¸Ń à¸Ķี +à¸Ńà¸Ķี à¸ķ +ãģIJ ãĤīãģĦ +Ġiht iya +Ġihtiya ç +ãģ¾ãģ§ ãģ® +ìĭľ ìĬ¤ +ìĭľìĬ¤ íħľ +ÑĢÑĥ ÑĪ +ãĤĦ ãģ£ãģ± +ãĤĦãģ£ãģ± ãĤĬ +к еÑĢ +Ġ ży +Ġży w +кл он +Ġl ượt +à ¾ +да Ñĩи +tür k +غ ÙĪ +ĠигÑĢ ок +Ġph ê +Ġש ×¢×ľ +ĠاÙĦÙħ دÙĨÙĬ +ĠìŬ룬 ë¶Ħ +ער ×Ļ×Ŀ +Ñħод ÑıÑĤ +Ġx ứ +ÐĹ Ð° +ĠÙģ رص +à¸Īะ à¸Ĺำà¹ĥหà¹ī +íģ ´ +×¢ ×ij×ķר +à¹Ģหลà¹Īา à¸Ļีà¹ī +èĢĥãģĪ ãĤĭ +ÑĢ еÑģÑĤ +н нÑĭй +Ġc ầm +دا Ø®ÙĦ +ĠÙħÙĦÙĬ ار +ĠÐIJ л +ĠвÑĢем ен +à¸Ĭà¹Īวย à¹ĥหà¹ī +ר×Ļ ×ķת +ëĵ ¯ +飲 ãģ¿ +׳ ׾ +שת ×£ +ĠاÙĦسعÙĪد ÙĬ +u ÃŁ +ìĿ¸ ëį° +ĠìĿ¼ ë°ĺ +ÅĤ ÄĻ +Ġm á»iji +×ŀ ×Ļ׳ +ĠاÙĦØ£ Ø·ÙģاÙĦ +Ġçı kan +é cole +ק ×Ļש +ק×Ļש ×ķר +ĠоÑģ ÑĥÑīеÑģÑĤв +ĠоÑģÑĥÑīеÑģÑĤв лÑı +×ij ×IJר +à¹Ħà¸Ľ à¸Ķà¹īวย +Ġ×¢ ×ķ׾×Ķ +à¸ģà¹ĩ à¹Ħมà¹Ī +ãĥ¢ ãĥĩ +ãĥ¢ãĥĩ ãĥ« +تØŃ ÙĪÙĦ +Ġод ного +ת×Ĺ×Ļ׾ ת +Ġت Ø® +Ġch cia +Ġchcia ÅĤ +ãĥIJ ãĥ³ +èĢħ ãģ¯ +ĠÙħ ØŃÙĦ +Ñģл ож +Ñģлож н +Ġt ÄĻ +Ġçı kt +Ġçıkt ı +ĠC Æ¡ +à¹Ħà¸Ķà¹ī à¹Ģลย +ır ken +à¹Ģà¸Ĥà¹īา สูà¹Ī +ÙħØŃ Ùĥ +ÙħØŃÙĥ ÙħØ© +à¸Ħุ à¹īม +à¸Ļà¹Īา à¸Īะ +лÑİ Ð´ +де ÑģÑı +деÑģÑı ÑĤ +ĠлÑİб ой +تØŃر ÙĬر +צע ×ĵ +Ġе Ñij +ĠاÙĦØŃ ÙĥÙħ +Ġص باØŃ +à¹Ģà¸ļ à¸Ńรà¹Į +Ġróż nych +ги б +ĠÑģ оÑĤ +ĠÑģоÑĤ ÑĢÑĥд +ĠÑģоÑĤÑĢÑĥд ник +ĠобÑĬ ем +פ ×ĺר +ãģĻãģĶ ãģı +ãģ«éĸ¢ ãģĹãģ¦ +в ол +Ø« ÙħاÙĨ +Ġd ần +æĬ ľ +æĬľ ãģij +Ġ×¢ ש +Ġעש ×ķ×Ļ +ס ×ķף +ãģªãģ® ãģ§ãģĻ +ãģ¯ ãģ©ãģĨ +×ŀ×¢ ר×ij +ï¼ ° +Ùħ صر +ÙħÙĨ اسب +ÙħÙĨاسب Ø© +ä¸Ĭ ãģ® +×IJ×Ļש ×ķר +ĠìĦ¤ ì¹ĺ +×ŀ×ĵ×Ļ׳ ×ķת +×ŀר ת +ãĤĭ ãģ®ãģĮ +د Ùİ +ĠاÙĦشر Ùĥات +ìĭľ ê°Ħ +ĠÑĢеÑĪ ение +ãģĻãĤĭ ãģ®ãģ¯ +ĠìŀIJìĭł ìĿĺ +׾ ×ŀ×ķ +ãģ¨ãģĵãĤį ãģ§ +Ġק צר +Ġmã i +Ġkü ltür +ãĥ©ãĤ¤ ãĥĸ +à¸ľà¸¹à¹ī หà¸įิà¸ĩ +æĻĤéĸĵ ãģĮ +клÑİÑĩ и +diÄŁ iniz +มาà¸ģ à¹Ĩ +تØŃ ÙħÙĦ +Ġh ạt +ãĤ¦ ãĤ£ +п ле +×ŀ ׾×IJ +ÅĤ ó +Ġg á»ijc +Ġ×IJ ×ķ×ĵ×ķת +หว าà¸Ļ +ĠاÙĦ ÙĪز +ĠاÙĦÙĪز راء +ëĵ¤ ê³¼ +Ġص ØŃ +ĠصØŃ ÙĬÙģØ© +Ġм м +تد Ø®ÙĦ +Ġpersön lich +Ġز ÙĬ +ĠزÙĬ ادة +ãĤ· ãĤ¢ +Ġng ắn +à¸Ħล ิà¸ģ +Ġs ông +Ġtü ket +Ñį ÑĦÑĦ +ÑįÑĦÑĦ екÑĤ +ש ×Ļ×ij +Ġا عت +ت ض +تض ÙħÙĨ +ĠاÙĦÙħØ´ رÙĪع +Ġprodu ção +ĠпÑĢимен Ñı +ни ÑĨÑĭ +주 ëĬĶ +ر Ùı +Ġm Æ¡ +Ġhayat ı +ëŁ ½ +Ġü cret +Ġyan ında +Ġpr ática +×ij×Ļק ×ķר +Ãľ N +Ñģ оÑĤ +ãĤıãģij ãģ§ +Ġдол го +ת ׼×ķ +ĠìķĦ ëĭĮ +ë į°ìĿ´ +Ġç iz +Ġcho Äĩ +Ġ×Ķ ×Ļת +Ġ×Ķ×Ļת ר +Ġso át +׼ ×ij×ĵ +à¹Ģล à¹Īา +Ġд еÑĢ +ĠдеÑĢ ев +ãĤĴ åħ¥ãĤĮ +×Ĺ ×ķס +×Ĺ×ķס ר +ج ÙĬÙĨ +t ón +onn é +Ġпол ноÑģÑĤÑĮÑİ +人 ãģŁãģ¡ +Ġpr êt +ëł ¸ +Ġdéc embre +cı lar +Ġת ת +Ġê²½ìļ° ìĹIJëĬĶ +ÙĪ عد +è¦ĭ ãĤĭ +วิ à¸Īัย +ë ¶Ī +ز ÙĪا +زÙĪا ج +d ì +ãģ§ãģĻ ãĤĪ +Ġвод о +ĠÙĬ ÙĪجد +Ñģ оÑģÑĤоÑı +Ðŀ С +ĠÄIJ ó +׊פש +Ġצ ×Ļ×ij×ķר +ĠاÙĦÙĤ Ø· +ĠاÙĦÙĤØ· اع +Ġиме ÑİÑĤ +Ġph áºŃn +×Ľ×¡ פ×Ļ +полн иÑĤелÑĮ +éĻIJ ãĤĬ +ĠÑģ ÑĢав +ĠÑģÑĢав н +ÙħاÙĦ Ùĥ +×ĵר ×ķ×Ŀ +çļĨ ãģķãĤĵ +ØŃÙĤ ÙĤ +à¹ģหล à¹Īà¸ĩ +ĠاÙĦر سÙħÙĬ +оÑĩ ки +×ĺ ×ij×Ĺ +Ġcan lı +Ġ׾ ׾ +Ġ׾׾ ×ŀ×ķ×ĵ +×ŀ×ij ×ķ +ת ׼ +×ª×Ľ ׳×Ļת +ĠاÙĦÙħ شار +ĠاÙĦÙħشار ÙĥØ© +Ä° Åŀ +ĠسÙĬ اسÙĬ +в олÑĮ +ĠÑģ пÑĢав +æĿ¥ ãģ¦ +פ×ķר ×ķ×Ŀ +สำ à¹Ģรà¹ĩ +สำà¹Ģรà¹ĩ à¸Ī +ĠÅŁ öyle +Ġzosta ÅĤa +ĠH ü +ר ×ķש +د ÙĦÙĬÙĦ +ÑĢи д +ש ף +×ŀק ×ķר +ĠÑĥ Ñĩ +ĠÑĥÑĩ еб +ĠÑį ÑĤа +ков а +à¸ķà¸Ļ à¹Ģà¸Ńà¸ĩ +ÙĨ ÙIJ +à¸Ńีà¸ģ à¸Ħรัà¹īà¸ĩ +ระ à¸ļุ +Ġd ữ +ĠاÙĦØŃ Ø§ÙĦÙĬ +׼ ×ķ׼ +׼×ķ׼ ×ij +Ġ×ŀ×IJ שר +Ġtr ụ +ÑĤел ем +Ġв ли +Ġвли Ñı +Ġש×IJת ×Ŀ +Ġuw ag +Ġuwag ÄĻ +×ĺ ×Ļת +×IJ ×ĵ×Ŀ +à¸Ķ ุ +Ġ×Ķ×IJ ׾×Ķ +Ġkar Ä±ÅŁ +ĠÄIJ á»iji +да ÑİÑĤ +ãģªãģ® ãģ« +Äħ cych +à¹Ģà¸Ļ à¹īà¸Ļ +ãģĹãģ¦ ãģĹãģ¾ãģĨ +int érieur +ĠfÃŃs ica +ĠÐŁ ол +ãģĹãģ ķ +à¸Ĺำ à¹Ħม +ĠL âm +ĠاÙĦÙħ سÙĦÙħ +ĠاÙĦÙħسÙĦÙħ ÙĬÙĨ +ص ØŃØ© +ìĹ Ħ +à¹Ģà¸Ķà¹ĩ à¸Ķ +ĠÑĥ ÑĩеÑĤ +â Ìģ +Ġب ÙĦا +ĠاÙĦاجتÙħاع ÙĬ +פרס ×Ŀ +ãĥķ ãĥ© +ĠÐļ огда +mie ÅĽci +ĠبÙĬÙĨ Ùħا +Ġ×ŀ×IJ ×ŀר×Ļ×Ŀ +Ġ×ij×IJ ×ĸ×ķר +×ķש ×Ļ×Ŀ +ĠÑģдел а +entr ée +à¹Ģ à¸Ħà¹īา +Ñĥг л +ĠاÙĦÙģ ÙĨÙĬ +ĠÐĴ оÑĤ +à¸Ĺีà¹Ī มา +×ķצ ×Ĵ +ÙĤد رة +Ġëª © +Ġ목 ìłģ +íıī ê°Ģ +ĠاÙĦØ£ ربع +ĠاÙĦأربع اء +פס ×Ļק +ĠÑıвлÑı ÑİÑĤÑģÑı +ب ÙĪÙĨ +ì° ¾ +×ŀ×¢ ר׼ +×ŀ×¢×¨×Ľ ×ķת +ãĤ· ãĤ§ +ĠباÙĦ Ø£ +íĸĪ ëįĺ +ĠاÙĦبر ÙĨاÙħج +ĠاÙĦØ£ ØŃد +Ġm Å© +ĠmÅ© i +п аÑĤ +ب Ø« +ĠÑĨ енÑĭ +Ġ×ijת ׾ +è¨Ģ ãĤıãĤĮ +ĠاÙĦÙħ جاÙĦ +ĠìĦ¸ ìĥģ +Ġ×Ĵ ×ķפ +ĠнаÑĪ ей +Ġкомп аниÑı +б ин +öl ü +×Ļ ×Ļ×ĺ +Ġ×ŀס פ×Ļק +ยัà¸ĩ à¸Ħà¸ĩ +ĠЧ и +Ġан ÑĤи +ĠÑģÑĢед и +สà¹Īวà¸Ļ à¹ĥหà¸įà¹Ī +оÑĩ ка +íĬ¹ ë³Ħ +ว à¹Īาà¸ĩ +гоÑĢ од +با Ùĥ +à¹Ģส ีà¹Īย +à¹Ģสีà¹Īย à¸ĩ +ãĤĤãĤī ãģĦ +ק ×ķ×Ŀ +ãģĽ ãģļ +ĠاÙĦÙĤ اÙĩرة +Ġ×ij ׼×ļ +Ùħشار ÙĬع +باØŃ Ø« +Ġпо Ñĩ +ĠпоÑĩ ÑĤи +ĠÑĦоÑĢм а +S Ä° +Ġ×ŀצ ×Ļ×¢ +ล ื +ลื ม +ĠÑĤ еÑĢ +ĠÑĤеÑĢ ÑĢиÑĤоÑĢ +ĠÑĤеÑĢÑĢиÑĤоÑĢ ии +Ġв меÑģÑĤ +ĠвмеÑģÑĤ е +dıkl arı +op ération +à¹Ĥ ห +ص دÙĬ +صدÙĬ ÙĤ +íĸī ìłķ +تج ا +تجا ÙĪز +Ġsu ç +Ġar ty +Ġarty ku +Ġartyku ÅĤ +ãĤ·ãĥ§ ãĥĥãĥĹ +ש פ +שפ ×Ļ×¢ +Ġ×Ķש ×Ļר×ķת +à¹ģà¸ĸ ม +ë¸ Ķ +Ġuk ÅĤad +Ġ×ķ ׼×Ļ +หล าà¸ģ +หลาà¸ģ หลาย +æĸ¹ ãĤĤ +Ġpodr óż +ĠE ÄŁer +Ġком наÑĤ +ĠÑģам ÑĭÑħ +Ġв кÑĥÑģ +б еж +Ġ×ij ק×ķ +æİĽ ãģij +ãģ¿ ãĤĭãģ¨ +ĠiliÅŁ kin +ĠÙĬ عÙħÙĦ +Ġпод аÑĢ +Ġyaz ılı +ãĤĴ å¾Ĺ +Ġwyst ÄĻp +à¸Ĺีà¹Ī à¹ĥà¸Ĭà¹ī +ØŃاد Ø« +ÙĪ ÙĬد +кÑĥ лÑĮÑĤ +кÑĥлÑĮÑĤ ÑĥÑĢ +à¸ģาร à¹ģà¸Ĥà¹Īà¸ĩ +à¸ģารà¹ģà¸Ĥà¹Īà¸ĩ à¸Ĥ +à¸ģารà¹ģà¸Ĥà¹Īà¸ĩà¸Ĥ ัà¸Ļ +ÙħÙĪ ظ +ÙħÙĪظ Ùģ +ÙĬÙħ ÙĬ +ãĤĵãģ§ãģĻ ãģĮ +diÄŁ im +diÄŁim iz +ĠÐŁ еÑĢ +ĠÐŁÐµÑĢ в +Ġm ão +ĠÑģ ез +ĠÑģез он +Ġ×Ķ×ŀ ×¢ +Ùħ جÙħÙĪعة +ĠинÑĦоÑĢм аÑĨии +i ếc +ã ng +ĠÄij ấy +ãģĶ ç´ +ãģĶç´ ¹ +ãģĶç´¹ ä»ĭ +Ġad ım +à¹Ħ หล +Ġп ÑĢакÑĤи +ĠпÑĢакÑĤи Ñĩ +ĠпÑĢакÑĤиÑĩ еÑģ +ĠпÑĢакÑĤиÑĩеÑģ ки +ĠاÙĦÙĨ Ùģس +ĠÑĢабоÑĤ е +ÙĦÙĬ Ùģ +ĠاÙĦجÙĨ ÙĪب +Ġвод Ñĭ +ì¹ Ļ +Ġм иÑĢа +ĠÄij ừng +ĠпÑĢоÑĤив о +ĠÑģÑĤÑĢан Ñĭ +ล ู +ìĤ ¶ +kre ÅĽl +Ġbul und +Ġbulund uÄŁu +à¹ģ สà¸Ļ +ãĤ± ãĤ¢ +ת×Ĺ ×ķ×ŀ×Ļ +ר׼ ×Ķ +Ġ׾ק ×ķ×Ĺ +Ġ׾ק×ķ×Ĺ ×ķת +Ġ×Ľ×ª ×ķ×ijת +ĠÙĦ ÙĥÙħ +ب شر +Ġr Ãłng +Ġ×ŀ×Ķ ×ŀ +Ġ×IJ×Ĺר ×ķת +Ġб он +Ġбон ÑĥÑģ +ï½ Ĺ +à¹ģ ยà¸ģ +ãģĤãģªãģŁ ãģ® +ĠÑĥÑĩаÑģÑĤ ие +ĠE yl +ĠEyl ül +ĠçalÄ±ÅŁmalar ı +Ø® طر +ìĿ ½ +à¸ģาร à¹ĥà¸Ĭà¹īà¸ĩาà¸Ļ +Ġана лиз +תק ×ij׾ +ни ем +ĠÄ° ns +ĠÄ°ns an +ĠبÙĪ اس +ĠبÙĪاس طة +Ġ׳ ×Ľ×ł×¡ +Ġ×Ķ×ŀ ×Ļ×ĵ×¢ +Ġç o +Ġço ÄŁu +á» ĺ +ĠêµŃ 민 +ãĤĤ ãģĦãģĦ +Ġ׼ ׾×Ļ +ĠÑģÑĢед не +g ÅĤo +gÅĤo ÅĽ +Ġneg ó +Ġnegó cio +ĠÑĢ егиÑģÑĤ +ĠÑĢегиÑģÑĤ ÑĢа +ĠÑĢегиÑģÑĤÑĢа ÑĨии +Ġtr á»ĵng +ĠпÑĢ Ñı +ĠпÑĢÑı мо +ëłĪ ìĿ´ +Ġk ém +к ле +à¸Ļำ มา +ĠÑĦ ин +ĠÑĦин анÑģ +ĠÑĦинанÑģ ов +Ġki á»ĩm +ยัà¸ĩ à¹Ħ +ยัà¸ĩà¹Ħ à¸ĩ +ย ิà¸ĩ +à¹Ĥ à¸Ľ +ĠполÑĥÑĩ ил +×Ļ×ĸ ×Ŀ +à¹ģละ à¸Ħวาม +Ġво обÑīе +ص ÙĬر +ãĥı ãĥ³ +ĠاÙĦÙĤ اد +ĠاÙĦÙĤاد Ùħ +Ġب دÙĪÙĨ +ع ظÙħ +ת ׳×ķ×¢ +×ª×ł×ķ×¢ ×Ķ +Ø£ ÙħÙĦ +ãģķ ãģĪ +ÑĤ ем +ÑĤем пеÑĢ +ÑĤемпеÑĢ аÑĤÑĥÑĢ +Ġ׾ ×Ļצ×ķר +Ġr ÄĻk +ر سÙĦ +ìŀIJ 를 +Ġ×Ļצ ×Ļרת +ÙĨ بÙĬ +Ñĩ наÑı +تØŃ ÙĦÙĬÙĦ +Ġм ик +Ġмик ÑĢо +ĠS öz +Ġfor ça +Ñģ он +ĠاÙĦع را +ĠاÙĦعرا ÙĤÙĬ +ĠH á»ĵng +ãģĻãĤĭ ãģŁãĤģãģ« +à¸Ĺีà¹Ī à¸Ńยูà¹Ī +Ġ×ķ×IJ ×£ +ص ÙĬد +ĠìķĬ ê³ł +ร ัà¸ĩ +ĠاÙĦت ÙĪاصÙĦ +à¹Ģม à¸ķร +Ñĥ ÑģÑĤÑĢой +ÑĥÑģÑĤÑĢой ÑģÑĤв +m ıyor +Ġبا سÙħ +Ġ×ķ ׼×ķ +ĠG ül +á» IJ +Ãī tat +غ اÙĦ +Ø¥ ÙĨØ´ +Ø¥ÙĨØ´ اء +T Ä° +à¸Ĥà¹īา ม +Ġtro ch +Ġtroch ÄĻ +Ø¥ ص +إص ابة +ĠØ« اÙĨÙĬ +ĠاÙĦص ØŃØ© +Ġ×ĸ×Ķ ×ķ +jÄħ cej +ãĥĢ ãĥ³ +ìĿ¸ ìĿ´ +Ġв олоÑģ +ëIJĺ ë©´ +Ġzak ÅĤad +ãģĻ ãģĵãģ¨ +以ä¸Ĭ ãģ® +Ġ×Ķ×ŀק ×ķ×Ŀ +ÙħØ´ اÙĩ +ÙħشاÙĩ دة +Ñĩ ив +ب Ø´ +ย à¹īาย +Ġsür dür +ĠN ẵ +ĠNẵ ng +ĠигÑĢ аÑĤÑĮ +Ġê·¸ëŁ¬ ë©´ +ãĥķ ãĥ« +ล à¹Īะ +Ġtend rá +Ġb Ãły +à¹Ģà¸Ľà¹ĩà¸Ļ à¸ľà¸¹à¹ī +Ġok o +Ġoko ÅĤo +w ÅĤa +wÅĤa ÅĽci +wÅĤaÅĽci w +æĢĿ ãĤı +ĠYa ÅŁ +ĠB á»ĩnh +íı Ń +بÙĬ د +קר ף +à¹Ģศ ร +à¹Ģศร ษ +à¹Ģศรษ à¸IJ +à¹Ģศรษà¸IJ à¸ģิà¸Ī +ĠاÙĦØ£ ÙĪرÙĪ +ĠاÙĦØ£ÙĪرÙĪ بÙĬ +fl äche +ä¹Ĺ ãĤĬ +Ġb á»ģn +Ùĩ ب +æľĢ ãĤĤ +Ġsa ç +à¸Ńำ à¹Ģà¸ł +à¸Ńำà¹Ģà¸ł à¸Ń +ĠØ£ ج +ĠاÙĦد اخÙĦ +ĠاÙĦداخÙĦ ÙĬØ© +×ĺ ×ķ×ij +ãĤĤ ãģªãģı +Ġли ÑĨа +à¹ģลà¹īว à¸ģà¹ĩ +×ĸ׼ ×Ļר +Ġqu Ãł +ĠÙĥ Ø°ÙĦÙĥ +صØŃ Ùģ +ĠÃĤ u +ÙĪب ا +à¹Ģà¸Ľà¸¥à¸µà¹Īยà¸Ļ à¹ģà¸Ľà¸¥ +à¹Ģà¸Ľà¸¥à¸µà¹Īยà¸Ļà¹ģà¸Ľà¸¥ à¸ĩ +à¸ķัว à¸Ńยà¹Īาà¸ĩ +Ġráp ida +Ġtas ar +Ġtasar ım +ĠعÙĦÙĬ ÙĩÙħ +ס ×ķ׾ +c ılı +cılı k +Ġر غÙħ +ìĭľ íĤ¤ +Ġ×IJ׾ ק +Ġ×IJ׾ק ×ĺר +Ġ×IJ׾ק×ĺר ×ķ׳×Ļ +à¹ģà¸ļ à¹Īà¸ĩ +Ġh ạng +ãģ£ãģ¦ ãģıãĤĮ +ĠÙĨ تÙĬ +ĠÙĨتÙĬ جة +ıkl ı +غ اÙĨ +à¸Ĥà¹īà¸Ń à¸Ħวาม +à¸Ľà¸¥ าย +ĠØ£ Ùħس +à¸Ĺีà¹Ī à¹Ģà¸ģีà¹Īยว +à¸Ĺีà¹Īà¹Ģà¸ģีà¹Īยว à¸Ĥ +à¸Ĺีà¹Īà¹Ģà¸ģีà¹Īยวà¸Ĥ à¹īà¸Ńà¸ĩ +Ġdé fin +Ġdéfin i +ÙģÙĨ اد +ÙģÙĨاد ÙĤ +à¹Ħà¸Ķà¹ī วà¹Īา +ãģªãģĦ ãĤĪãģĨãģ« +Ġpróp ria +ĠPh át +ãĤĦãģĻ ãģı +สวย à¸ĩาม +ê³ł ìļĶ +Ñı еÑĤ +ãģĭãĤĤãģĹãĤĮãģ¾ãģĽãĤĵ ãģĮ +تر جÙħ +ĠкÑĢаÑģ ив +Ġ×ŀ ר×IJש +д еж +ĠÙĬ ÙĪÙĨ +ĠÙĬÙĪÙĨ ÙĬÙĪ +Ñģк оÑĢ +ĠKas ım +ê³Ħ ìķ½ +к оÑģ +Ġна ÑĢÑĥ +ĠнаÑĢÑĥ ÑĪен +Ġdu że +acc ès +Ġh á»ĵng +Ġv Å© +ãģĦãģŁ ãģĹãģ¾ãģĻ +Ġ×ĺ ×Ļ +Ġ×ĺ×Ļ ×ķ׾ +lıkl arı +Ġqu ê +ëħ¸ ëıĻ +ìķ Ķ +CI ÃĵN +Ġt ắc +press ão +ĠìŀĪ ìľ¼ +สิà¸Ĺà¸ĺิ à¹Į +íĥ Ħ +Ġ×Ķ×ŀ ×ŀש׾×Ķ +å¬ī ãģĹãģĦ +ĠÄIJ ặc +ÙĨ زÙĦ +ĠдÑĢÑĥг ой +д ÑĥÑĤ +ìĪ Ļ +Ġth ụ +à¹Ģส ร +à¹Ģสร à¹ĩ +à¹Ģสรà¹ĩ à¸Ī +Ġto plant +Ġtoplant ı +×IJ×ŀ ף +×ķ׾ ת +п омн +Ġyo ÄŁun +ÅĦsk iego +ì° © +ĠØ« ÙĦاث +ĠØ«ÙĦاث Ø© +Ġl ắng +ë¦ ´ +ราà¸Ĭ à¸ģาร +ĠÑģлов а +á» Ĩ +à¸Ķี à¸ģวà¹Īา +ãģĶãģĸ ãģĦãģ¾ãģĻ +Ġд из +Ġдиз айн +fé rence +lıkl ar +ãģªãĤĵ ãģ§ãģĻ +ajÄħ cy +Ġëĭ¤ ìĸij +Ġëĭ¤ìĸij íķľ +ק ×Ļר +ØŃ Ø§Ø± +ส ูà¹ī +Ġz ro +Ġzro bi +Ġzrobi Äĩ +×ŀ ×Ļ׼×Ķ +à¸Ĭà¹Īวย à¹Ģหลืà¸Ń +ĠÑįÑĤ Ñĥ +ë´ ī +楽 ãģĹãģĦ +س ÙĪر +íķĺ ê±°ëĤĺ +Ùħؤ تÙħر +Ġpoc zÄħ +ĠpoczÄħ tk +ĠpoczÄħtk u +Ġع ربÙĬ +اÙĦØ£ ر +اÙĦأر دÙĨ +à¸Ķ ร +Åĵ uvre +ĠÙĪÙĥ اÙĨت +ĠÅĽ redni +Ø® ضر +Ġch uyến +н ÑĤ +ĠìķĮ ê³ł +Ġv á»Ŀi +Ġ×ij ×Ļ×ĵ×Ļ +×ŀ×ĵ ×ķ×ijר +ÙĪ Ùģر +ÙĬ Ø¡ +׳ ×Ľ×¡ +ĠÐĽ а +л он +Ġx ấu +Ùģ ÙĬÙĨ +Ġfé vrier +ĠÐŀ на +ĠV á»ģ +ĠÅŁey ler +ĠполÑĥÑĩ ен +з ад +Ġn ét +à¹Ħà¸Ľ ยัà¸ĩ +×Ĺש×ij ×ķ +à¸ļัà¸Ļ à¸Ĺ +à¸ļัà¸Ļà¸Ĺ ึà¸ģ +Ġgerçek leÅŁ +иÑĩеÑģк ое +ìĪĺ ê°Ģ +Ø« بت +ãģ¤ ãģ¾ãĤĬ +ĠÑĥÑģловиÑı Ñħ +ëĭ¤ ê°Ģ +ราย à¹Ħà¸Ķà¹ī +׼×IJ ×ij +à¹Ĥà¸Ľà¸£ à¹Ĥม +à¹Ĥà¸Ľà¸£à¹Ĥม à¸Ĭัà¹Īà¸Ļ +j ähr +jähr ige +ק ׳×Ļ×Ŀ +×ŀ ×ķק +×ŀ×ķק ×ĵ +ãģ«è¡Į ãģ£ãģ¦ +Ø¢ ÙĦ +вед ение +Ġ׾ ×Ľ×ª×ķ×ij +جÙħ Ùĩ +جÙħÙĩ ÙĪرÙĬØ© +à¸ī à¸ļ +à¸īà¸ļ ัà¸ļ +ĠC òn +à¸ľ สม +ãģªãģ© ãģĮ +×IJ×Ķ ×ij +ĠдейÑģÑĤв иÑı +y ız +à¹Ħมà¹Ī à¹Ģà¸Ħย +ج ÙĪز +×Ķ×Ĺ׾×ĺ ×Ķ +f ällt +ãĥĵ ãĤ¸ +ãĥĵãĤ¸ ãĥį +ãĥĵãĤ¸ãĥį ãĤ¹ +Ġ×IJ ×Ļ׳×Ŀ +ĠнаÑħод иÑĤÑģÑı +Ġdzi ÅĽ +ست Ø·ÙĬع +׾ ×Ļף +Ø® ÙĦاÙģ +Ùĩ ÙIJ +Ġatr ás +íĺ ģ +ãĤĴ ãģĶ +Ġ×Ķ×ŀ ×ķצר +ĠBakan lıģı +ÑİÑī ее +ÙħÙĨ اط +ÙħÙĨاط ÙĤ +Ùģ د +à¸Ļำ à¹Ħà¸Ľ +Ġв аж +Ġваж но +Ġm ạch +׼ ׳×ķ +بع Ø« +lan ması +Ġa yr +Ġayr ıl +ìĤ¬ íļĮ +d ÃŃa +p ÅĤyw +اÙħ ÙĬØ© +íĺ ľ +×IJ׳ ×Ĵ׾ +×IJ׳×Ĵ׾ ×Ļת +ĠìŀĪëĭ¤ ëĬĶ +Ġس اعة +ĠëĤĺ íĥĢ +b ö +à¸Ħ ัà¸Ļ +ĠdziaÅĤ ania +Ø© Ùĭ +Ġng Å© +׳צ ×Ĺ +ãģ¯ ãģĤãĤĭ +ĠyaÅŁ ında +st ück +car acter +caracter ÃŃsticas +Ġr á»Ńa +ĠÙħختÙĦÙģ Ø© +ãģ«ãģĬ ãģijãĤĭ +à¹ģà¸ŀ à¸ĩ +วิ à¹Īà¸ĩ +ת פ×ķ +سا ÙĩÙħ +使 ãģĨ +Ùĥ رÙĬ +×IJ פ×Ļ +........ ....... +ĠÑĤак им +×Ļ׼ ×ķ×Ļ +Ø´ بÙĩ +ج ÙĬر +ãģĿãģ® ãģ¾ãģ¾ +ac jÄĻ +ĠاÙĦت رÙĥ +ĠاÙĦترÙĥ ÙĬ +ĠпÑĢав илÑĮно +Ġت عÙħÙĦ +à¸ģล à¹īา +Ġbi ên +Ġ×ij׳×Ļ ×Ļת +Ġкл Ñĥб +Ġ×ŀ ש×Ķ +в ÑĪий +ãģĵãģ¨ãģĮãģ§ãģį ãĤĭ +à¸ŀัà¸Ļà¸ĺ ุ +à¸ŀัà¸Ļà¸ĺุ à¹Į +ר ×ķ×Ŀ +ĠاÙĦÙģ رÙĨ +ĠاÙĦÙģرÙĨ سÙĬ +à¹Ģà¸Ľà¹ĩà¸Ļ à¸Ħà¸Ļ +ãģĹãģ¦ ãģĬãĤĬ +Ġth ầy +ãĤĵ ãģłãģijãģ© +ìĶ ¨ +Ùħ دÙĨ +ت ÙĪÙĨ +ĠмеÑĤ ал +ĠмеÑĤал л +Ġin ÃŃcio +à¸Ńà¸Ńà¸ģ à¸Īาà¸ģ +ëĴ ¤ +Ġcu á»ijn +Ġbu á»Ļc +ÙĨ سÙĬ +ä cht +×ŀ ×Ļ׳×Ļ×Ŀ +ãģķ ãģ¦ +ãģĮ ãģ§ãģį +ÑĬ ем +Ġtá i +ĠЧ ÑĤ +ĠЧÑĤ обÑĭ +à¸Ľà¸¥ ูà¸ģ +à¸Ĭุม à¸Ĭà¸Ļ +н Ñģкий +Ġv ững +Ġ×Ķ ׾×ij +ë le +Ġש ×¢×ijר +в аÑĤÑĮÑģÑı +б ой +ع ÙĪÙĨ +à¹ģà¸Ķ à¸Ļ +Ġספר ×Ļ×Ŀ +Ġt uyên +Ġnhi êu +ĠQu ý +Ġh uyết +ãĤı ãģĭãĤīãģªãģĦ +Ġ×ŀ ׼ף +Ġ×Ķ ק׾ +Ġ׾×IJ ×ķר +ĠÄIJi á»ĩn +Ø´ ؤ +شؤ ÙĪÙĨ +Ġ×ŀ׊פש +ĠпоÑģÑĤоÑıн но +×ŀ ×Ļר +ìħ Ķ +Ðŀ Ñģ +ÐŀÑģ нов +×ĸ ×Ļת +ĠH á +ĠÑĩаÑģ ов +×IJ ×ķ׾×Ļ +Ġm át +Ø® رÙĪ +خرÙĪ ج +ÙĤ ضا +ÙĤضا ÙĬا +à¹Ģà¸Ľ à¸Ńรà¹Į +ĠÙĬ ÙĪÙĦ +ĠÙĬÙĪÙĦ ÙĬÙĪ +à¹Ĥà¸Ĺ ษ +׳ פ׾ +ת ×ķש +ת×ķש ×ij×Ļ +Ġv ários +×ŀ ר×IJ×Ķ +ëĿ¼ ìĿ´ +ÙĨ غ +×ij צע +г он +ĠÄIJ ược +ع Ùı +пÑĥÑģ к +ĠÙĪاÙĦ Ùģ +üc ü +×Ļק ×Ļ×Ŀ +Ġس بÙĬÙĦ +׾×ij ף +ĠاÙĦÙĤ رÙĨ +ס ×ķת +ĠQu áºŃn +ãģĵãĤĮ ãģĮ +ãĥĸ ãĥ©ãĥ³ãĥī +×Ĵ ×ŀר +Ġwarto ÅĽci +ĠÙĪب ÙĬÙĨ +Ġd ạ +ÐIJ в +ÐIJв ÑĤо +Ġol acaktır +à¸Ļ à¸Ĺà¹Į +Ùħ طار +Ġ×¢ ק×ij +Ġת פ +ãģĹãģ¦ ãģĦãģ¦ +צ ×ŀ×Ĺ +à¸Ī à¸Ńà¸ĩ +Ġö de +ìį ¨ +ÙĨ اس +調 ãģ¹ +ĠогÑĢ омн +ë³´ íĹĺ +×ĺ ק +×ĺק ס×ĺ +ĠbaÅŁ v +ĠbaÅŁv uru +Ġpom ys +Ġpomys ÅĤ +ãģ« ä¹Ĺ +Ġש ׼ף +ĠاÙĦÙħس ؤÙĪÙĦ +Ġз ан +Ġзан ÑıÑĤ +Ġd Æ°Æ¡ng +ãĥĹãĥ¬ ãĤ¤ +ล à¸ļ +ÑĤи ка +ĠAr alık +Ġнед о +Ġm á»Ļ +Ġor an +Ġoran ı +Ġktó r +Ġktór Äħ +Ġ×Ķ×IJ×Ĺר ×ķ׳×ķת +ائ ÙĨ +ÅĦ s +ÅĦs ka +åĽ½ ãģ® +×ŀ ×ĺ×Ļ +ĠвопÑĢоÑģ Ñĭ +à¸Ńà¸ĩà¸Ħà¹Į à¸ģร +×ŀ ×ķצ×IJ +Ġpó ź +Ġpóź niej +ש×ŀ ×IJ׾ +Ġk aps +Ġkaps am +Ġkapsam ında +Ġmá quina +ĠÅĽwie cie +Ġho Ãłng +Ġöz gü +×Ĵ×ķר ×Ŀ +ãģĤ ãģŁãĤĬ +à¸ķัà¸Ķ สิà¸Ļ +à¸ķัà¸Ķสิà¸Ļ à¹ĥà¸Ī +б ÑĢи +ãģ«ãģªãĤĭ ãģ¨ +ت ÙĥÙĪÙĨ +Ġ×ķ×Ķ ×Ļ×IJ +Ġchi ếu +ÑģÑĤан ав +ÑģÑĤанав ли +ÑģÑĤанавли ва +×ŀ ×ķ×Ĵ +c ité +ĠK örper +Ġש ×Ĵ×Ŀ +ع ظ +عظ ÙĬÙħ +Ġ×Ķ×IJ ×Ļש×Ļ +Ġmat ière +ĠÙģ ÙĪÙĤ +Ġk to +Ġkto ÅĽ +à¸Ļ à¹Ĥย +à¸Ļà¹Ĥย à¸ļาย +å¾ħ ãģ¡ +à¹Ģม à¸Ļ +à¹Ģมà¸Ļ ู +A ÃĩÃĥO +Ġt ù +Ġtù y +ãĥĪ ãĥ³ +ĠоÑĤ каз +Ġ×ŀ ×ķצר +ül ü +ãģķãĤĵ ãģ« +Ġ×Ĺ ×ķ×ij +קר ×Ļ×IJ×Ķ +ĠاÙĦØ® دÙħات +ĠÙĦÙħ دة +ر ؤ +رؤ ÙĬØ© +ãĤĴè¦ĭ ãģ¤ãģij +à¸Ł า +Ġréuss i +à¸Ļัà¸ģ à¹Ģรียà¸Ļ +ĠÑĩиÑģ л +à¸ģาร à¹Ģลà¹Īà¸Ļ +Ġhaz ırl +Ġhazırl an +ĠпеÑĢв Ñĭй +ли м +ĠоÑĤзÑĭв Ñĭ +Ġwy jÄħ +ĠwyjÄħ tk +ĠØ£ ÙĤÙĦ +ס ×ļ +Ġê²° ìłķ +Ġ׾×ŀ×¢ ש×Ķ +Ġl ắp +à¹ģà¸ļ ร +à¹ģà¸ļร à¸Ļà¸Ķà¹Į +วà¹Īา à¹Ģà¸Ľà¹ĩà¸Ļ +Ġب دا +Ġبدا ÙĬØ© +ãģ¨ãģĦãģĨ ãģ®ãģĮ +иÑĩеÑģк им +à¸ģาร à¸ŀัà¸Ĵà¸Ļา +Ġb Ãło +Ġmia ÅĤa +y waÄĩ +ĠMär z +ĠÙĨ سبة +Ġéconom ique +×ĸ ×ŀ +×ĸ×ŀ ׳×Ļ×Ŀ +æŃ¢ ãĤģ +Ġt ủ +íķĺ ìĭł +Ġkażde go +stra ÃŁe +à¸Ĭ ีà¹ī +à¹Ģ à¸ļา +ÑĢеÑģ ÑĥÑĢÑģ +ев ой +Ø´ باب +à¸ķà¹Īาà¸ĩ à¸Ľà¸£à¸°à¹Ģà¸Ĺศ +Ġ×IJ ×Ļש +Ġ×IJ×Ļש ×Ļת +×Ļ ×ķפ +×Ļ×ķפ ×Ļ +ĠìļĶ 구 +ì¡° ìĤ¬ +ãģ£ãģŁ ãĤī +׾ ×Ļק +миниÑģÑĤ ÑĢ +ãĤĤãģ® ãģ¯ +Ġl Æ°Æ¡ng +Ġна и +Ġнаи бол +Ġнаибол ее +íİ ĺ +à¹ģà¸ŀ à¹ī +ãĤŃ ãĥ¥ +ĠкоÑĤоÑĢ Ñĭм +à¹ģà¸Ĺ à¸ĩ +à¹ģà¸Ĺà¸ĩ à¸ļà¸Ńล +Ġ׳ ×Ļ×Ķ +Ġ׳×Ļ×Ķ ×ķ׾ +âĤ ª +ĠGi ải +ĠиÑģполÑĮзов а +ëł¥ ìĿĦ +ãģĹãģĭ ãĤĤ +à¸ģà¹ĩ à¸ķà¹īà¸Ńà¸ĩ +ĠÑĢ еб +ĠÑĢеб ен +ĠÑĢебен ка +ت ÙĪاصÙĦ +ãĤ°ãĥ« ãĥ¼ãĥĹ +ãĤĦ ãĤī +à¹Ģà¸Ľà¸´à¸Ķ à¸ķัว +б ÑĢо +ë°ĸ ìĹIJ +ÙĨ Ùİا +×Ķ ×Ĵ +×Ķ×Ĵ ׳×Ķ +à¸Ĺ รั +à¸Ĺรั à¸ŀ +à¸Ĺรัà¸ŀ ยà¹Į +Ġkh á»iji +עצ ×ŀ×ķ +бол езн +Ġë°Ľ ìķĦ +ม à¸Ļ +มà¸Ļ ุ +มà¸Ļุ ษ +มà¸Ļุษ ยà¹Į +âĹ Ĩ +×ŀ צ׾×Ļ×Ĺ +Ñıв ление +Ùħ Ø·ÙĦ +ÙħØ·ÙĦ ÙĪب +Ø® اÙĦÙģ +ت ÙĪÙĤÙģ +ãģ§ãģį ãģ¾ãģĽãĤĵ +оÑģÑĤ ей +м еÑĩа +기 ëĬĶ +תש ×¢ +ص ÙĬب +Ġ×ij×¢ ×ķ×ĵ +à¸Ĥà¸Ńà¸ĩ à¹Ģà¸Ĥา +ÑĤÑı ж +ĠÑĥ пÑĢав +ĠÑĥпÑĢав лениÑı +Ġgén ér +Ġth ÃŃ +פ ×ļ +Ġر Ùħض +ĠرÙħض اÙĨ +Ġtr uyá»ĩn +Ø¥ عداد +ãĤµ ãĥĿãĥ¼ãĥĪ +Ġпол но +Ø® اÙħ +ÐŁ еÑĤ +ÐŁÐµÑĤ еÑĢ +ÐŁÐµÑĤеÑĢ бÑĥÑĢ +ÐŁÐµÑĤеÑĢбÑĥÑĢ г +ÙħÙĨت دÙī +ãģķãĤĮ ãģ¾ãģĹãģŁ +ĠëĮĢ íķĺìŬ +à¸ľà¸¹à¹ī à¸Ĺีà¹Ī +Ġ×ŀ×IJ ×ķ +׾ ׳×ĵ +оÑĩ нÑĭе +ĠнаÑĩ ала +Ġ׾ ×Ļ׾×ĵ×Ļ×Ŀ +ов ое +ãģĻãĤĭãģĵãģ¨ ãģ§ +ĠاÙĦÙĨ Ùģ +ĠاÙĦÙĨÙģ Ø· +ìŀĪ ëĬĶ +غ ÙĨÙĬ +פ ×ĵ +ãĤ ¾ +ĠCr é +ãģ© ãģ¡ãĤī +Ø« اÙĨ +ÑĢаб аÑĤ +ÑĢабаÑĤ Ñĭва +Ġê°Ļ ëĭ¤ +à¸Ī ั +à¸Īั à¸ģร +Ġch ụ +Ġchụ p +Ġм аÑģÑĤ +ĠмаÑģÑĤ еÑĢ +Ġn ắm +ĠÑģÑĤ али +Ġ×Ķ×IJ ×Ļר×ķ×¢ +ãĤ½ ãĥ³ +åĪĨ ãģĭãĤĬ +Ø· بع +بد ا +gr áfico +г еÑĢ +à¸Ķำà¹Ģà¸Ļิà¸Ļ à¸ģาร +Ġsal dır +Ġsaldır ı +в ÑĪиÑħ +ãģĭãģ£ãģŁ ãģ§ãģĻ +Ġyapı yor +ĠاÙĦÙģ ت +צר פת +з доÑĢов +×ij×¢ ׾ +Ġ×IJ ×ŀ×Ļת×Ļ +Ġоб Ñĭ +ĠобÑĭ Ñĩ +ĠобÑĭÑĩ но +Ġ׾ ×ķ×ŀר +ت ÙĥÙĨ +تÙĥÙĨ ÙĪÙĦÙĪج +تÙĥÙĨÙĪÙĦÙĪج ÙĬا +Ġhakk ı +ĠÑĢаР² +ĠÑĢав но +رÙĬ Ùĥ +Ġ×ij ×ŀ×Ļ×ĵ +Ġ×ij×ŀ×Ļ×ĵ ×Ķ +à¹ģà¸ģ à¹īว +Ġìĸ ĺ +Ġìĸĺ 기 +ãģĹãģ¦ ãģĦãģ¾ãģĹãģŁ +Ġkı sm +Ġkısm ı +ê± ¸ +åĨħ ãģ® +ì§ ķ +à¹Ģหมืà¸Ńà¸Ļ à¸ģัà¸Ļ +ĠÙģ ÙIJ +ĠÙģÙIJ ÙĬ +ÙĤ اعدة +Ġmoż esz +Ùħ صاÙĦ +ÙħصاÙĦ ØŃ +ãģ¾ãģŁ ãģ¯ +б ег +Ġs ıc +Ġsıc ak +Ñĩ иÑģ +ÑĩиÑģ лен +Ġн ог +ãĥģãĥ£ ãĥ³ +ãĥ« ãĥī +Ġgi ó +Ġs ını +Ġsını f +ив аÑĤÑĮ +Ġqu ên +Ġì łģ +Ġìłģ ìļ© +ĠJo ão +Ùģ اد +ĠGl ück +à¸Ĺ à¸Ńà¸Ķ +Ġg ói +ï¼ Ĭ +Ġdé tail +ĠدÙĬ سÙħ +ĠدÙĬسÙħ بر +ë¡ľ ìĦľ +×ŀ ×ķ×Ĺ +à¹Ħ ฮ +ĠоÑĤ д +ĠоÑĤд ÑĭÑħ +Ġkh uyến +à¸Ħ à¸Ńย +Ġج ÙĨÙĬ +ĠجÙĨÙĬ Ùĩ +ĠاÙĦد Ùģاع +à¸Ļà¹īำ หà¸Ļัà¸ģ +ĠìĤ¬ëŀĮ ëĵ¤ìĿ´ +Ġth ừa +ĠÃ¶ÄŁrenc i +ĠпомоÑī и +ĠczÄĻ ÅĽÄĩ +ש ×ĺר +ĠN hi +ĠNhi á»ģu +׳ צ×Ļ +ĠнаÑĪ ем +ĠkarÅŁÄ± laÅŁ +Ġ×Ķש ׳×Ļ×Ŀ +ĠÄIJ Æ°á»Ŀng +Ġtr ú +ĠÑĢазлиÑĩ нÑĭÑħ +ĠاÙĦØ´ Ùĩر +Ġ×ľ×¢ ×ķ׾×Ŀ +ØŃ Ø¬Ø± +ĠÄij á»ķ +ĠìĿĺ íķ´ +à¸ļ à¹Īà¸Ńย +Ġ×Ķ ×Ļ׾×ĵ +ãģ¨ãģª ãģ£ãģŁ +Ġ×Ĺ×ķ ×ķת +Ġש×Ļר×ķת ×Ļ +Äħ cy +س رÙĬ +K Ä° +פ ׳×ķ +ÑģÑĤÑĢÑĥк ÑĤÑĥÑĢ +ÑĤ ÑĢÑĥд +Ġ×Ķ קר +Ġ×Ķקר ×ķ×ij +Ġth áºŃm +èģŀ ãģį +ÙĤÙĪ ÙĬ +клÑİÑĩ ен +ÑĤе Ñħ +ÑĤеÑħ нолог +è¡Į ãģ£ãģŁ +Ġ×ķ×IJ ×Ļף +ĠÅŁek lin +ĠÅŁeklin de +r ô +ÑĢ ог +Ġнов Ñĭе +Ġס ×ij×Ļ×ij +Ġtecn ologÃŃa +ס ׼ +×¡×Ľ ×ķ×Ŀ +ĠÅŀ ub +ĠÅŀub at +Ġ×Ķ×ŀ ׾×IJ +Ġwy pos +Ġwypos aż +ãģ¯ ä½ķ +ãĤ¬ ãĥ³ +ê° ĸ +Ġкак ие +Ġçocuk lar +Ġ׾צ ×ĵ +Ġkay ıt +ĠмеÑģÑĤ е +Ùħ دÙĬÙĨØ© +Ġ׼ ×Ĵ +Ġ׼×Ĵ ×ķף +ãģĹãģ¦ ãĤĭ +ĠÙħا ÙĬÙĪ +ãģ£ãģ¦ãģĹãģ¾ ãģ£ãģŁ +ĠпÑĢогÑĢамм Ñĭ +à¹ģล à¸Ļà¸Ķà¹Į +ãĥ¯ ãĤ¤ +ער ×ķ×¥ +Ñģ ид +ĠB öyle +Ġì²ĺ ìĿĮ +Ġת פק×Ļ×ĵ +ĠTr ên +íĥ Ī +ĠÐłÐ¾ÑģÑģ ий +ĠÐłÐ¾ÑģÑģий Ñģкой +Ġs Ãłn +Ġrè gle +ĠyaklaÅŁ ık +à¹Ģล ิà¸ģ +Ġد ائÙħ +Ġ×ķ ×Ĵ +اب ر +Ġb è +ĠاÙĦ ÙĤدÙħ +ĠÑĢеÑĪ ениÑı +hi ên +ÑĤи к +Ä Ħ +à¸ļรร ยาà¸ģ +à¸ļรรยาà¸ģ าศ +רצ ×ķף +åĭķ ãģį +ĠGä ste +Ġ기 본 +ĠÙĬ عرÙģ +ĠS á»Ń +gÅĤ ÄĻb +à¹Ģà¸Ń ส +×IJ×ŀ ×Ļף +Ġп Ñĥнк +ĠпÑĥнк ÑĤ +Ġ×Ļ×ķ×ĵ ×¢×Ļ×Ŀ +ãĤ« ãĥ©ãĥ¼ +Ġ×ijס ×ĵר +Ġbu á»ĵn +й ÑĤ +йÑĤ еÑģÑĮ +ãĤĴ æ±ĤãĤģ +Ġ×IJת ׼×Ŀ +Ġ모 르 +ظ رÙĪÙģ +Ñĩ еÑģÑĤво +ìĸ´ ìĦľ +Ġод на +Ġkap ı +Ġëħ¸ ëł¥ +ĠKü che +ĠاÙĦت Ø´ +Ø· ÙĬب +ĠíĬ¹ íŀĪ +ĠвÑĭп ÑĥÑģ +ĠвÑĭпÑĥÑģ к +×ĵ ת×Ļ +Ġu ÄŁ +ĠuÄŁ ra +ائ Ùĩا +Ġtho át +ãģª ãĤĤãģ® +Ñij ÑĢ +기 ê°Ģ +ĠgeliÅŁ me +تØŃ ÙĤ +تØŃÙĤ ÙĤ +Ġоп аÑģ +б ÑĢоÑģ +ห ุ +หุ à¹īà¸Ļ +ì¼ Ģ +ãĤ¹ ãĥŀ +ãĤ¹ãĥŀ ãĥĽ +Ø£ Ùģر +Ø£Ùģر اد +ĠTh á»±c +Ġth ắ +ãĥªãĥ³ ãĤ¯ +Ġni á»ģm +ĠHö he +عÙħ ار +ÙĥÙĪر ÙĪÙĨ +ÙĥÙĪرÙĪÙĨ ا +ĠÄIJ ến +ĠÑģам ом +ĠÑĤ еле +ĠÄijo án +à¸Ħวามà¸Ħิà¸Ķ à¹Ģหà¹ĩà¸Ļ +Ġд иÑģк +Ø£ Ø·ÙģاÙĦ +ม ารà¹Į +à¸Ĺ หาร +à¸Ĺ à¸Ļ +Ġب عÙĬد +ĠاÙĦÙĩ ÙĨد +åĩº ãģĹãģ¦ +Ġkar de +Ġkarde ÅŁ +×Ķ×Ļס×ĺ ×ķר +×Ķ×Ļס×ĺ×ķר ×Ļ×Ķ +éģ¸ ãģ³ +ع اÙħÙĦ +à¸Ĥ ยาย +Ġtü rl +Ġtürl ü +ĠìĿ¼ ìĿ´ +Ġmaté ria +Ġ׼׾ ×ķ×ŀר +ãĥģãĥ£ ãĥ¼ +جÙħ اعة +ĠÑģво им +Ø¥ÙĤ اÙħØ© +ä¾ĭ ãģĪãģ° +س اب +Ø¢ خر +ÙĤ دÙĬر +×IJ×ŀ ×Ļ +ìĸ » +Ġ׳×ķס פת +ĠÐĴ лад +ĠÐĴлад им +ĠÐĴладим иÑĢ +Ġest ará +ãģĵãģĨ ãģĦãģĨ +ãĤĴ 使çĶ¨ +มา à¸ķร +มาà¸ķร à¸IJาà¸Ļ +ãģ£ãģ ½ +Ġn ú +Ġnú i +ย าà¸ĩ +ĠاÙĦج ÙĨس +Ġüst ün +ëľ » +ãĤ» ãĥ« +ãģ¦ãģĦ ãģįãģ¾ãģĻ +Ġ×Ĺ ×ķ×ĸ +Ġ×Ĺ×ķ×ĸ ר +ĠÐĵ лав +à¹Ĥà¸Ĭ à¸Ħ +íı IJ +ÙĨت ظر +Ġ×Ĵ ×ij×Ļ +ع ÙĤب +int ér +intér êt +×ŀ פ×Ĵ +×ŀפ×Ĵ ש +Ġth ù +اÙģ ت +Ġ×ŀש פ +Ġ×ŀשפ ×ĺ×Ļ +ĠÙħ ÙĪاÙĤع +è¦ ļ +è¦ļ ãģĪ +×ĵ ×Ļף +à¹Ģรืà¹Īà¸Ńà¸ĩ ราว +ãģ¾ ãģĤ +Ġgh ế +иÑĢÑĥ ÑİÑĤ +à¸ģ ว +à¸ģว à¹īาà¸ĩ +Ġпов еÑĢ +ĠповеÑĢ Ñħ +ĠповеÑĢÑħ ноÑģÑĤ +׳ ×ĵר +Ġкон ÑĨе +Ġдолж на +Ġ×Ļש ×Ļר +acaģı z +ìĹ Ķ +Ġn ÃŃvel +Ġö r +Ġör nek +Ùĥ Ùģ +ĠФедеÑĢ аÑĨии +Ġ구 ìĦ± +หัว à¹ĥà¸Ī +ĠV áºŃy +м ед +мед и +меди ÑĨин +медиÑĨин Ñģк +از ÙĬ +×Ĵ×ij ×ķ׾ +ÑĦ ÑĢ +Ġzus ätzlich +à¸ģ à¸ģ +ĠاÙĦاÙĤتصاد ÙĬØ© +Ġh è +lu ÄŁun +ج Ùİ +à¹Ħà¸Ł ลà¹Į +ÄIJ T +ãģĿãģ® ä»ĸ +à¸Ĺิ à¹īà¸ĩ +ĠاÙĦØ£ ÙĪ +ر سÙħ +æ°Ĺ ãģ¥ +ìĿ´ ë©° +ÑĮ ев +ص Ø· +ĠاÙĦاست Ø« +ĠاÙĦاستث Ùħار +à¸Ńา à¸Ħาร +ĠÑĤоÑĩ но +ĠV ân +à¸Ń ร +à¸Ńร à¹Īà¸Ńย +ĠاÙĦس ÙĨØ© +Ġc Æ°á»Ľi +×Ļ×Ķ ף +íį ¼ +話 ãģĹ +âĹ ĭ +ĠìķĬ ìĿĢ +ãĥ¡ ãĥ¼ãĤ +ãĥ¡ãĥ¼ãĤ « +ãĥ¡ãĥ¼ãĤ« ãĥ¼ +ĠÑĤеп ло +å½¼ ãĤī +ĠÄ° z +ĠÄ°z mir +íĻ į +Ġr ượ +Ġrượ u +æĢĿãģĦ åĩº +ĠPh ạm +Ġchá u +צ×Ļ ×ķת +ĠìĿ¼ 본 +ìĤ¬ ëĬĶ +ĠÑģозд ан +Ġar acı +Ġ×¢ ר +Ġער ×Ļ׼×Ķ +ĠíķĺëĤĺëĭĺ ìĿĺ +dzi ÅĤ +à¸Ľà¸£à¸° à¸ĺาà¸Ļ +Ġser ÃŃa +ĠìŀĪ ëıĦë¡Ŀ +در ج +íķľëĭ¤ ëĬĶ +à¸Ńา à¸Ĺ +à¸Ńาà¸Ĺ ิà¸ķ +à¸Ńาà¸Ĺิà¸ķ ยà¹Į +ÑĤелÑĮ нÑĭй +ĠØ® دÙħات +×ŀ׳ ×ĺ +Ġl ược +ĠS Ãłi +ĠÙĪ اض +ĠÙĪاض ØŃ +غ از +ĠdoÄŁ al +Ġ×ijש ×Ŀ +Ġд лин +ĠØ¥ طار +Ġ×ijס פר +ãĤĴ ä¸İ +ãĤĴä¸İ ãģĪ +Ġë²ķ ë¥ł +ĠÑĥ вели +ĠÑĥвели Ñĩи +ส à¹Ħà¸ķ +สà¹Ħà¸ķ ลà¹Į +à¹Ħ à¸ģล +×ij׊ף +ĠìĿ´ íĽĦ +Ġm unic +Ġmunic ÃŃpio +تÙħ Ø«ÙĦ +ĠÄij áo +H ôtel +Ġl á»Ńa +ĠÄij ẳng +Ñĩ ки +Ø´ رÙĪ +شرÙĪ Ø· +ĠìĿ´ 를 +ÙĬ Ùĭا +×ŀ׾ ×ļ +×ŀ×Ķ ×Ļר×ķת +ĠобÑıз аÑĤелÑĮ +ĠобÑıзаÑĤелÑĮ но +é nergie +Ġmud ança +Ġm ụ +Ġmụ n +Ġn º +ĠاÙĦت عا +ĠاÙĦتعا ÙĪÙĨ +ĠاÙĦاجتÙħاع ÙĬØ© +Ġп лаÑģÑĤ +Ġëĵ± ìĿĺ +ãĥIJãĤ¤ ãĤ¯ +Ùĩج ÙĪÙħ +ĠSa úde +Ġì¤ijìļĶ íķľ +Ġ×Ķצ ×Ļ×ij×ķר +תק ף +ĠاÙĦعاÙĦÙħ ÙĬ +ĠболÑĮÑĪ ой +ĠÙĥ ÙĦÙħ +ĠÙĥÙĦÙħ Ø© +ãģ®ãģ§ãģ¯ãģªãģĦ ãģ§ãģĹãĤĩãģĨãģĭ +ĠÙħ باراة +Ġש×IJ ׳ +Ġש×IJ׳ ×Ĺ׳×ķ +ãĤ¹ãĤ¿ ãĤ¤ãĥ« +ĠSa ÄŁ +ĠSaÄŁ lık +Ġh Æ° +׳ ×Ĺ×Ķ +Ġ×ij קר×ij +Ø· عÙħ +ห ิà¸Ļ +à¸Ĺุà¸ģ วัà¸Ļ +à¸Ħรัà¹īà¸ĩ à¸Ĺีà¹Ī +ĠlÃł nh +Ġdonn é +ãģĽ ãģĦ +جز ÙĬرة +доÑĢ ож +ì¼ ľ +تÙĨظ ÙĬÙģ +ãĥģ ãĥ§ +Ġald ıģı +ج اج +ĠÑĤ омÑĥ +à¸Ľ ิ +Ġ×ijר שת +ãģıãģªãĤĬ ãģ¾ãģĻ +ĠпÑĢин ÑĨип +Ġ׊׾×ķ +ëı ¼ +×ķ×Ĵ ש +س س +à¸Ľ ู +Ġh ầu +æĦŁãģĺ ãĤĭ +ï¼ ´ +د ÙĪا +ĠÑģм ог +scri ção +Ġth áºŃn +Ġר ×ķ×IJ×Ķ +обÑĢаж ен +ĠاÙĦتج ارÙĬØ© +Ø· بÙĬع +jÄħc Äħ +íĸī ìľĦ +Ġнов Ñĭй +Ġ×ŀ ×Ĺ×ĵש +æĮ¯ ãĤĬ +gu é +Ġ×IJ ×Ļר×ķ×¢ +Ġ×IJ×Ļר×ķ×¢ ×Ļ×Ŀ +ĠاÙĦ Ø°Ùĩب +×ĵ ×IJ +ت اÙĨ +ãģł ãģĹ +à¸Ńั à¸ķรา +à¹Ĥ à¸Ī +بÙĦ اد +×Ķ×Ļ ×Ļ׳×ķ +ĠÑģп е +ĠÑģпе ÑĨиалÑĮно +ĠÅĽwi ata +ãĤĵãģ§ãģĻ ãĤĪ +شر ÙĥØ© +ĠpÅĤ yt +Ġsitu é +Ġ׼×IJ ׾×Ķ +ס ×ijר +Ġkaż d +Ġkażd ym +ãĤĴæĮģ ãģ¤ +׾×Ķ ׾ +׾×Ķ׾ ף +ĠwÅĤ as +ĠwÅĤas ne +ĠsaÄŁ lan +×ŀ×¢ ׾×Ķ +ĠاÙĦا ÙĪÙĦ +ìĹIJìĦľ ëıĦ +×IJ×Ļר ×ķפ×Ķ +تÙĤ ÙĨÙĬØ© +Ùħ ائ +Ùħائ Ø© +Ġcompañ ÃŃa +Ġsü rek +Ġsürek li +ĠиÑģ кÑĥÑģ +ĠиÑģкÑĥÑģ ÑģÑĤв +ĠB ürger +ת ×Ĺר +ת×Ĺר ×ķת +à¸ŀรà¹īà¸Ńม à¸ģัà¸ļ +Ø´ Ùħ +à¸ĸืà¸Ń วà¹Īา +è¾¼ ãĤĢ +ä¼ij ãģ¿ +ĠاÙĦØ£ ب +ĠÑģÑĤоим оÑģÑĤÑĮ +ĠпÑĢав а +may ın +ห วย +ĠاÙĦØ· بÙĬعÙĬ +à¸Ĺีà¹Ī à¸ŀัà¸ģ +ĠEst á +Ñĭва ÑİÑĤ +ب سÙĬ +بسÙĬ Ø· +Ġ×ij×¢ ×ijר +åı¯èĥ½ ãģ§ãģĻ +Ġ×ĵ ×ķ׾ +Ġ×ĵ×ķ׾ ר +Ùĩ Ùİا +воÑĢ оÑĤ +ãģ¦ ãģĦãģ¾ãģĹãģŁ +à¹Ĥà¸Ĺร ศ +à¹Ĥà¸Ĺรศ ั +à¹Ĥà¸Ĺรศั à¸ŀ +à¹Ĥà¸Ĺรศัà¸ŀ à¸Ĺà¹Į +Ġק ׳ +ĠاÙĦØ« ÙĨ +ĠاÙĦØ«ÙĨ ائÙĬØ© +Ġco ût +à¸ķิà¸Ķ à¸ķัà¹īà¸ĩ +Ġö rg +Ġörg üt +ĠاÙĦØ® ÙĦÙĬ +ĠاÙĦØ®ÙĦÙĬ ج +Ġb á»įn +×ķ׾×ķ×Ĵ ×Ļ +ëŀ ľ +ĠÐij олÑĮ +ĠÐijолÑĮ ÑĪ +×Ĵ ×ijר×Ļ×Ŀ +ÙĤ ÙĬد +×ij×Ļ×ĺ ×ķ×Ļ +æīĵ ãģ¡ +Ġol muÅŁ +f äh +fäh ig +ล าà¸Ļ +ĠÙĤ طر +ש פ×Ķ +èªŃ ãĤĵãģ§ +à¸Ĥ วา +Ġchi ếm +ãĤ¤ãĥ³ ãĤ¿ +ãĤ¤ãĥ³ãĤ¿ ãĥ¼ãĥ +ãĤ¤ãĥ³ãĤ¿ãĥ¼ãĥ į +ãĤ¤ãĥ³ãĤ¿ãĥ¼ãĥį ãĥĥãĥĪ +Ġ׾ש×ŀ ×ķר +Ġت رÙĥ +ĠترÙĥ ÙĬا +ר ×ķ×ĺ +ãģ¨æĢĿ ãģĦãģ¾ãģĹãģŁ +ĠاÙĦت ÙĤ +Ġd Æ° +ãģ¦ãģıãĤĮ ãĤĭ +ãģĹãģŁ ãģĵãģ¨ +Ġróż ne +ĠاÙĦØ· ÙģÙĦ +ĠPost é +Ġ×ŀש ×ķ×Ŀ +Ñį ÑĢ +ĠÑĢабоÑĤ аеÑĤ +ãĤ· ãĥª +ãĤ·ãĥª ãĥ¼ãĤº +Ġ×ij×Ķ ×Ĺ׾×ĺ +ק×Ķ ×Ļ׾×Ķ +ãĤ« ãĥ¡ +ãĤ«ãĥ¡ ãĥ© +ï¼ ¯ +ĠìĤ¬ ìĿ´ +Ġk ì +Ġth Æ°á»Ľc +ض بط +ÙĤب ÙĪÙĦ +åĪ¥ ãģ® +Ġparticul ière +ĠÑģво ем +Ġ×¢ סק +Ġעסק ×Ļ×Ŀ +×ij×Ĺ ×Ļר×ķת +×ij ×Ļ׳×ķ +à¸ĭ à¸Ń +Ġ×¢ ×ķ×ijר +ãģłãģ£ãģŁ ãģ®ãģ§ +ıld ıģı +Ùħ دار +Ùħدار س +주 ìĭľ +à¸Ńา ศ +à¸Ńาศ ัย +Ġt ấm +à¸ŀิ à¸Ī +à¸ŀิà¸Ī าร +à¸ŀิà¸Īาร à¸ĵา +ÑĤелÑĮ нÑĭе +Ñģк ÑĥÑİ +Ðľ Ðĺ +à¹Ģà¸ģ า +à¹Ģà¸ģา หล +à¹Ģà¸ģาหล ี +×ĵ ×Ĺ +à¹Ģà¸Ĭ ิà¸ĩ +Ġد ÙĤÙĬÙĤØ© +íķĻ ìĥĿ +Ġש×IJ ׾×Ķ +Ġcontr ôle +Ġsit uação +à¸Ĥà¸Ńà¸ĩ à¸ľà¸¹à¹ī +ÙĨ Ø·ÙĤ +ê³¼ íķĻ +หลาย à¸Ħà¸Ļ +Ġn ắng +ÙĤ Ùı +ì¡° ê±´ +Ñ ķ +ãĥĥ ãģ¨ +×ŀ ×Ļ׾×Ķ +Gr ün +×Ļ ×Ļ×¢ +×Ļ×Ļ×¢ ×ķ×¥ +×ŀ׳ ׼ +ë ŃIJ +×ŀ×¢ ×ŀ×ĵ +สำ à¸Ļัà¸ģ +ج دد +à¸Ħ ัà¸Ķ +Ġ×Ķ×ŀש פ +Ġ×Ķ×ŀשפ ×Ĺ×Ķ +×ŀש ק׾ +ÙĦ Ùı +Ġty tu +Ġtytu ÅĤ +ÑĪ ей +ĠìĿ¼ ë¶Ģ +ÑĪ ение +Ġph óng +ĠìĹŃ ìĤ¬ +ãĤ« ãĥ³ +Ġtú i +ĠÙĨ ÙĪÙģ +ĠÙĨÙĪÙģ Ùħبر +gr ün +ĠاÙĦØ´ ÙħاÙĦ +ÅĽwi adc +ÅĽwiadc zenie +ער ×Ķ +Ġ×¢ ×ķ×ij +Ġ×¢×ķ×ij ×ĵ×Ļ×Ŀ +×ĵ×ķ×Ĵ ×ŀ×IJ +ä»Ĭ ãģ¯ +Ġv ão +ĠТ ем +Ñģ илÑĮ +Ġch ợ +Ùħ را +Ùħرا ÙĤب +à¹Ħมà¹Ī รูà¹ī +Ġر ائع +×IJ׳ ×Ĺ׳×ķ +สà¹Īà¸ĩ à¹Ģสริม +צ ×Ĺ +ĠìŀĪìĸ´ ìĦľ +Ġkur ulu +Ġkurulu ÅŁ +ĠÃĸ zellik +ĠÃĸzellik le +Ġת ×Ļק +Ġgh é +Ġspr zÄĻ +ĠsprzÄĻ t +ער ×ķת +را ØŃØ© +ãģ£ ãģį +ãģ£ãģį ãĤĬ +ĠìķĦ ëŀĺ +stit uição +Ġдолж но +×Ķ רש +×Ķרש ×ŀ×Ķ +×Ķ׾ ×ļ +ãģ¡ ãģª +ãģ¡ãģª ãģ¿ +ãģ¡ãģªãģ¿ ãģ« +פ ×Ĺ×ĵ +ĠاÙĦج ÙħÙĬع +×ij×¢ ׾×Ļ +Ġtr ùng +Ġפ ת×Ĺ +×ŀ׾×Ĺ ×ŀת +ãĥĨ ãĥ¼ãĥ +ãĥĨãĥ¼ãĥ ŀ +Ùħ تاب +Ùħتاب عة +Ġ모 ìĬµ +ÙĬ ص +åIJĪ ãģĨ +ĠY ap +ĠYap ı +ĠÑģ казаÑĤÑĮ +ëª ° +à¸Ĺีà¹Ī สำà¸Ħัà¸į +ĠìĹĨ ìĬµëĭĪëĭ¤ +Ġnh ắc +Ġülk eler +Ġмног ие +íķĺ ìħ¨ +มาà¸ģ à¸Ĺีà¹Īสุà¸Ķ +à¸ģ à¹īา +à¸ģà¹īา ว +ĠÄ° yi +л еж +леж а +ãĤ¸ ãĥ§ +à¸Ĺั à¸ŀ +ا ÙĪر +Ġ×Ĺ×ijר ×Ļ +Ġ׾ ש×Ŀ +ì² « +ĠT á»Ń +×ŀ ×ķ׳×Ļ +ÙĤ ÙĪد +à¸ģระ à¹Ģà¸Ľ +à¸ģระà¹Ģà¸Ľ à¹ĭ +à¸ģระà¹Ģà¸Ľà¹ĭ า +ĠпÑĢоблем Ñĭ +Ġaç ıs +Ġaçıs ından +Ġ×Ķ×ŀ ׼ +ĠÙħع ظÙħ +ÙĤÙĬ اس +ĠпÑĢод олж +ĠпÑĢодолж а +Ġver diÄŁi +ĠпÑĢед меÑĤ +ãģĦãģ¾ãģĻ ãģĮ +ĠëĶ° 른 +ĠاÙĦ ÙĤÙĬاÙħ +ĠØ¥ÙĦÙĬ Ùĩا +Т ÐIJ +п оз +ãĤ· ãĥ¥ +ä¸ĬãģĮ ãĤĬ +à¹Ģà¸Ķิม à¸ŀัà¸Ļ +à¸ģุ ล +ØŃر ÙĬØ© +ק×ij×ķצ ×ķת +ë¯ ¿ +ĠاÙĦÙħ ÙĨا +ĠاÙĦÙħÙĨا Ø·ÙĤ +ĠвÑĭп ол +ĠвÑĭпол нÑı +ãĥĭ ãĤ¢ +Ġê²° êµŃ +×Ĺ ×ķ×ŀ +×Ĺ×ķ×ŀ ר×Ļ×Ŀ +ĠУкÑĢа инÑĭ +ห à¸Ńม +ר ×Ļס +ĠÑħоÑĤ ел +ĠобÑĢаз ованиÑı +Ġkh ẳng +Ġm Æ°a +Ġgör me +Ġgüç lü +سع Ùī +มัà¹Īà¸Ļ à¹ĥà¸Ī +íķĺ ê²łìĬµëĭĪëĭ¤ +Ġпол Ñĥ +Ġfün f +ãģ¨æĢĿ ãģ£ãģ¦ãģĦãģ¾ãģĻ +Ġê·¸ê²ĥ ìĿĢ +ĠdÃ¼ÅŁÃ¼n ce +ìŀ ł +ĠH Æ°á»Ľng +ĠTi á»ĥu +Ġç ift +ãģij ãģ° +à¸Īà¸Ļ à¸ĸึà¸ĩ +à¸Ĺำ à¹Ħà¸Ķà¹ī +ĠìŀIJ ì²´ +Ġd õ +Ġdõ i +à¸Ī ัà¸Ļ +à¸Īัà¸Ļ à¸Ĺ +à¸Īัà¸Ļà¸Ĺ รà¹Į +ece ÄŁini +׳×ķ×¢ ר +غ ار +ĠاÙĦØ£ÙħرÙĬ ÙĥÙĬ +داع Ø´ +ĠбезопаÑģ ноÑģÑĤи +Ġб Ñİ +ĠбÑİ Ð´Ð¶ +ĠбÑİдж еÑĤ +ãĥĬ ãĤ¤ +à¸ŀà¸ļ วà¹Īา +da ÄŁ +×IJ ×ķפף +íĹ Į +ãĥĢãĤ¤ ãĤ¨ +ãĥĢãĤ¤ãĤ¨ ãĥĥãĥĪ +ĠëĮĢ íĨµ +ĠëĮĢíĨµ ëł¹ +D Ä° +Ø£ ØŃداث +ĠA ÄŁ +ĠAÄŁ ust +ĠAÄŁust os +ØŃÙĦ ÙĪÙĦ +Ġw ÅĽ +ĠwÅĽ ród +ĠÑģо оÑĤвеÑĤ +ĠÑģооÑĤвеÑĤ ÑģÑĤв +ĠÑģооÑĤвеÑĤÑģÑĤв ии +ĠLu áºŃt +Ġ׼׾ פ×Ļ +Ġв еÑī +ĠвеÑī еÑģÑĤв +ק ×Ļ×¥ +ĠبÙĩ ذا +عا Ø´ +à¹Ģà¸Ľà¹ĩà¸Ļ à¹Ģรืà¹Īà¸Ńà¸ĩ +Т Ðķ +Ġ×ij×IJ ×Ļ׳×ĺר׳×ĺ +س عد +Ġ×Ķ×ĺ ×Ļפ×ķ׾ +פ ×Ļס +à¸ĩà¹Īาย à¹Ĩ +ĠGer ät +׾ ×Ļ×ĵ×Ķ +ĠÑĢ иÑģк +׾ק ×Ĺ +н наÑı +ר ×Ļ×ĵ +п ÑĢакÑĤи +пÑĢакÑĤи к +à¸Ĥัà¹īà¸Ļ à¸ķà¸Ńà¸Ļ +à¸Ļà¹Īา รัà¸ģ +larınız ı +à¸Ńà¸Ļุ à¸įา +à¸Ńà¸Ļุà¸įา à¸ķ +ĠzdjÄĻ cia +Ġb ây +Ñģ ÑĢ +ÑģÑĢ оÑĩ +ãĥĭ ãĥ³ãĤ° +Ġö ner +Ġöner i +Ġнов ÑĭÑħ +دع ÙĪØ© +Ġg ắn +ĠاÙĦÙĦ بÙĨ +ĠاÙĦÙĦبÙĨ اÙĨÙĬ +ãĥĨãĤ£ ãĥ¼ +Ġص ØŃÙĬØŃ +ем ÑĭÑħ +çĸ² ãĤĮ +ĠпÑĢо иÑģ +ĠпÑĢоиÑģ ÑħодиÑĤ +ส à¸ķิ +ĠT ết +Ġ×Ķ׾ ׾×ķ +à¹Ģรืà¹Īà¸Ńà¸ĩ à¸Ļีà¹ī +×ŀ×ij ׳×Ķ +Ġconte údo +Ġا خت +Ġاخت ÙĬار +Ùħ سÙĦ +ÙħسÙĦ سÙĦ +ëı Ī +Ġ׾ ×Ļ×ĵ +à¸ŀิ à¸ĺี +ĠÑģов Ñģ +ĠÑģовÑģ ем +ãģĮãģĤãĤĬ ãģ¾ãģĹãģŁ +Ġsó ng +Ø¥ صÙĦاØŃ +ë§ ģ +Ùģ ÙĬر +ĠJe żeli +ìłľ ëıĦ +d ÅĤug +ìĥģ ìĿĦ +Ġc áºŃn +Ġhá»į p +Ø£ ست +أست اذ +Ġ×ŀ ×Ļש×Ķ +Ġ×ŀ×Ļש×Ķ ×ķ +Ġd Ãły +Ġch Ãłng +ãģ¡ãĤĥãĤĵ ãģ¨ +ĠÄij ám +Ġsw ój +Ġpoder á +ĠоÑĤлиÑĩ а +Ġpéri ode +ünd ig +×ĺ×¢ ף +ÑģÑĤÑĢо иÑĤелÑĮ +ר ת×Ļ +Ġ×Ļ×Ķ ×Ļ×ķ +׾ ס +ĠاÙĦÙħÙĨ زÙĦ +à¸Ļิ à¹īว +иÑĦ ика +иÑĦика ÑĨи +ðŁĺ ī +Ġad ına +ãĢĤãĢĤ ãĢĤ +×IJ ×Ļף +ס ×Ļר +ĠÙĬ عد +çŃĶ ãģĪ +اÙĦ جز +اÙĦجز ائر +енÑĮ к +ร ห +รห ัส +ĠTürk çe +ê¾ ¸ +Ġ×Ļ ×ķ׼׾ +Ġש ×ķ׳×Ķ +Ġ×ij×ŀ צ×ij +ĠдейÑģÑĤв иÑĤелÑĮно +ĠبأÙĨ Ùĩ +×ŀק ×ĵ +Ġ×Ķש ק +Ø®ÙĬ ارات +Ġf ı +Ġfı rs +Ġfırs at +ëij ĺ +ĠìĦľ ìļ¸ +Ġ×Ķ×Ĵ ×ķ×£ +ر عا +رعا ÙĬØ© +ĠK ết +к Ñģи +ĠÑĥÑģлÑĥг и +ноÑģÑĤ ей +ìļ´ ëıĻ +ĠобÑĬ Ñı +ĠобÑĬÑı вл +н еж +×Ķפ ×ļ +Ġ×ij×¢ ×Ļ׳×Ļ +ëĨ Ĵ +ĠпÑĢоÑĨ ед +ĠпÑĢоÑĨед ÑĥÑĢ +Ġiht iy +Ġihtiy acı +Ġë°Ķ ëŀį +Ġë°Ķëŀį ëĭĪëĭ¤ +à¸ģล ัว +ĠÑģл ожно +ק×Ļ ×Ļ×ŀת +ĠÄIJ ình +ĠÙħ ÙĦÙģ +Ġà¹Ĥà¸Ķย มี +Ġkat kı +تØŃ ÙĪÙĬÙĦ +à¹Ħ à¸ŀ +ĠH á»į +ñ e +Ġдо Ñħод +Ġtho ải +íķĺìŬ ìķ¼ +ãĤ¹ãĥĿ ãĥ¼ãĥ +ãĤ¹ãĥĿãĥ¼ãĥ Ħ +ĠG òn +Ġk è +Ġkè m +éĢ² ãĤģ +ãĤ¹ ãĥ¼ãĥ +ãĤ¹ãĥ¼ãĥ ij +ãĤ¹ãĥ¼ãĥij ãĥ¼ +ĠgiÃł u +ĠØ¥ عادة +Ġ׾ ×ķק +Ġ׾×ķק ×Ĺ +ĠÑħоÑĩ еÑĤ +×ĺ ׾×ķ×ķ +×ĺ׾×ķ×ķ ×Ļ×ĸ +×ĺ׾×ķ×ķ×Ļ×ĸ ×Ļ×Ķ +Ġth uyết +ãģĿãĤĮ ãģ§ +Ġvard ı +à¹Ħร à¹ī +ع بد +ĠRep ública +ãĥ¼ãĤ¿ ãĥ¼ +Ġ×ŀ×IJ ×ķת +à¹Ħà¸Ľ à¹ģลà¹īว +Ġyapıl acak +ãĤ¹ãĤ¿ ãĥ¼ãĥĪ +ãģ» ãģ¼ +Ġko ÅŁ +ĠмаÑĤ еÑĢи +Ġsiè cle +ĠاÙĦÙħ ختÙĦÙģ +ĠاÙĦÙħختÙĦÙģ Ø© +Ġ׾ק ר×IJ +Ġ׾קר×IJ ת +Ġ×Ķפ ×ķ×¢×ľ +Ġt òa +Ġr Æ¡i +åij¨ ãĤĬ +à¸Ŀ à¸Ļ +j ÅĽÄĩ +ĠìķĬ ìĿĦ +اÙĨت ÙĤاÙĦ +ëĸ ł +ив аеÑĤ +ãĥĪ ãĥ« +ĠاÙĦÙģÙĦسطÙĬÙĨ ÙĬØ© +à¸ģลà¹Īาว วà¹Īา +ا Ùĥت +ĠÃĸ l +ĠÑĢе ÑĪи +ĠÑĢеÑĪи л +Ġ׳×ķס פ×ķת +Ġìłķ ì¹ĺ +вл еÑĩен +Ùħر ØŃÙĦØ© +Ġcome ça +Ġy ık +ìĤ ´ +à¸ĺ à¸Ļา +à¸ĺà¸Ļา à¸Ħาร +à¸Ńà¸Ļ า +à¸Ńà¸Ļา à¸Ħ +à¸Ńà¸Ļาà¸Ħ à¸ķ +Ġpeque ña +ä»ķ äºĭãĤĴ +Ġب Ø°ÙĦÙĥ +Ġнов ого +ãģĹãģ¦ ãģĦãģªãģĦ +ĠاÙĦÙħ ÙĬاÙĩ +à¸ģà¹ĩ à¹Ģà¸Ľà¹ĩà¸Ļ +Ġж ÑĥÑĢ +ĠжÑĥÑĢ нал +в еÑģ +خت ار +Ġ매 ìļ° +ĠM ã +ĠавÑĤомаÑĤ Ñĭ +ضع Ùģ +ĠاÙĦÙģ Ùĥر +ãģ§ãģĻ ãģ®ãģ§ +ãĥ¡ãĥ³ ãĥIJãĥ¼ +Ġк ÑĢÑĥг +ĠاÙĦسÙĦ طة +à¸Ħรัà¹īà¸ĩ à¹ģรà¸ģ +à¸ģระà¸Ĺ รว +à¸ģระà¸Ĺรว à¸ĩ +ÑĨ ов +éķ· ãģĦ +大ãģį ãģĦ +Ġgeç miÅŁ +ìĦ± ìĿ´ +Ġצר ×Ļ׼×Ķ +Ġм оÑī +ĠмоÑī н +Ġק ×Ļש +Ġק×Ļש ×ķר×Ļ×Ŀ +ĠNas ıl +г ÑĢан +Ġ×ŀ ×ķצר×Ļ×Ŀ +Ġ×ŀס ×ķ×Ĵ +Ġy ür +Ġyür üt +Ġ׾׊צ×ķ +×ķÖ ¼ +ĠìŀĪ ìĹĪëĭ¤ +Ġter ör +ĠTh Æ°Æ¡ng +ĠÙĪ ÙĬÙħ +ĠÙĪÙĬÙħ ÙĥÙĨ +ج ÙĪÙĨ +ĠÙĪغÙĬر Ùĩا +×ŀ פ×ķ +×Ĵ×ķר ×ŀ×Ļ×Ŀ +׼×ij ×Ļש +ĠاÙĦÙĦ غ +ĠاÙĦÙĦغ Ø© +شر Ùĥ +ĠاÙĦر اب +ĠاÙĦراب ع +ĠпÑĢ ек +ĠпÑĢек ÑĢаÑģ +ĠпÑĢекÑĢаÑģ н +Ġenerg ÃŃa +ק×ĵ ×ŀ×Ļ +ãģıãģª ãģ£ãģŁ +ĠÄij ứ +ĠÄijứ a +Serv i +Servi ço +Ġkald ır +åĥį ãģį +Ġод еж +Ġодеж д +물 ìĿĦ +ãģĿãģĨ ãģ§ +ãģĮãģĤ ãĤĮãģ° +ìĻ ķ +צ×ĵ ק +Ġart ır +Ġile ti +Ġileti ÅŁim +ãĤĪãģĨ ãģ§ +ãĥĪ ãĥ¼ +ãĤ¢ ãĥĭ +ãĤ¢ãĥĭ ãĥ¡ +×ĺ×Ļ ×Ļ׾ +ãĥķ ãĥªãĥ¼ +ãĥĿ ãĥ³ +ÐŁÑĢ о +Ġع اÙĦÙĬØ© +ĠÃ¶ÄŁ ret +ĠÃ¶ÄŁret men +ĠкаÑĩеÑģÑĤв а +Ġ×Ķ×ĺ ×ij×¢ +Ġзна Ñİ +ãģ¦ ãģıãĤĭ +Ġm ừng +ÙħÙĪ ت +ש ×ķ×ŀר +×Ĺ׾ ×ij +Ġwzgl ÄĻ +ĠwzglÄĻ du +ë²Ī 째 +Ġtá» ĵ +Ġtá»ĵ n +ãĥ¯ãĥ¼ ãĤ¯ +Ġpo życz +Ġpożycz k +×Ļ ×ķצר×Ļ×Ŀ +Ùĥر Ùħ +Ġг аÑĢ +ĠгаÑĢ ан +ĠгаÑĢан ÑĤи +ล à¹īาà¸ĩ +Ġìĺģ íĻĶ +×ĺ ×Ļס +Ġth ẻ +ĠìŀĪëĭ¤ ê³ł +اÙĦت ز +اÙĦتز اÙħ +Ġна ÑĪи +is ée +ãģĵãĤĮ ãĤĴ +Ġm ẽ +ض ÙĦ +بÙĪ ت +Ġ׼ ׼×Ķ +h ợ +ĠاÙĦس ÙĪرÙĬØ© +Ġ×ľ×¢ ×ķ×ŀ +Ġ×ľ×¢×ķ×ŀ ת +ĠbaÅŁ ar +ĠbaÅŁar ılı +е ÑģÑĤÑĮ +à¸Ħร ี +à¸Ħรี ม +ĠìłĦ ì²´ +ĠسÙĬ ÙĥÙĪÙĨ +Ġ×ŀ×ĵ ×ķ×¢ +ĠëķĮ문 ìĿ´ëĭ¤ +Ġc ứng +ger ät +Ġм иÑĢ +ĠмиÑĢ е +ĠÙĥÙĬÙģ ÙĬØ© +Ġפר ×ĺ×Ļ×Ŀ +Ġgo ÅĽci +иÑĤ еÑģÑĮ +ÑĥÑĪ ки +ؤ ÙħÙĨ +Ġ×IJ ׼ף +ĠاÙĦر جÙĦ +Ġl á»įc +à¹Ģรีย à¸ģวà¹Īา +ãģĵãģ® ãĤĪãģĨãģª +ë§Į íģ¼ +Ġп еÑĩ +ÙĪÙĦ ات +ĠÃľ ye +liÄŁ inde +à¸Ħะ à¹ģà¸Ļ +à¸Ħะà¹ģà¸Ļ à¸Ļ +ãĤĭãģĵãģ¨ ãģ¯ +วิ à¹Ģà¸Ħร +วิà¹Ģà¸Ħร าะ +วิà¹Ģà¸Ħราะ หà¹Į +Ġвозмож ноÑģÑĤи +ĠاÙĦÙĨ ساء +ãĥīãĥ© ãĥŀ +Ġgü c +Ġgüc ü +Ġt Æ°á»Ŀng +Ġacomp aña +ãĤ¤ ãĥ© +ק צ×ij +ĠY ö +ĠYö net +ĠYönet im +สัม à¸ľ +à¸ªà¸±à¸¡à¸ľ ัส +à¸Ļ าม +ĠÄij ợi +à¹ģหà¹Īà¸ĩ à¸Ĭาà¸ķิ +ãģĿãĤĮ ãģ§ãĤĤ +ät ig +ת ×ķ×Ŀ +ĠbaÅŁ lat +ĠвÑģ ей +ת ×Ļק +ת×Ļק ×ķף +ĠNg ô +ĠGesch ä +ĠGeschä fts +Ø£ Ùħ +Ø£Ùħ راض +à¹Ģà¸Ĺ à¸Ħà¸Ļ +à¹Ģà¸Ĺà¸Ħà¸Ļ ิ +à¹Ģà¸Ĺà¸Ħà¸Ļิ à¸Ħ +Ġм енÑĮ +ĠменÑĮ ÑĪе +Ġöl ç +Ġölç ü +ĠÙĬ جعÙĦ +ĠÄij ỡ +ש ×Ļ׾ +ש×Ļ׾ ×ķ×ij +ĠGr Ã¶ÃŁe +ĠÙĩ اتÙģ +รà¹īาà¸Ļ à¸Ńาหาร +×Ķ׾ ×Ļ׼ +×Ķ׾×Ļ׼ ×Ļ +иÑĢÑĥ ÑİÑī +èĭ¥ ãģĦ +ĠÃĸ zel +ãģĦãģŁ ãĤī +à¸Ħำ à¸ĸาม +Ġzosta ÅĤy +Ġ×Ķס ×Ļפ×ķר +×Ķ ×ķ׾ +×Ķ×ķ׾ ×ļ +à¹Ģà¸Ĭà¹Īà¸Ļ à¸ģัà¸Ļ +à¹Ĥ à¸Ĩ +à¹Ĥà¸Ĩ ษ +à¹Ĥà¸Ĩษ à¸ĵา +×IJר צ×ķת +×Ĵר פ×Ļ +Ġao ût +ĠÙĬ رÙĬد +ت ÙĪج +تÙĪج ÙĬÙĩ +ĠÑįÑĤ ап +ãĤ¹ãĤ¿ ãĥ³ +Ġkr ó +Ġkró tk +ãĤĴ使 ãģĨ +ì ·¨ +éĸ¢ ãĤı +à¸Ķà¹īวย à¸Ħวาม +à¸Ļำ à¹Ģสà¸Ļà¸Ń +Ġa yrıca +à¸Ī à¹īาà¸ĩ +ĠÑĦоÑĤ огÑĢаÑĦ +Ġв еÑĩ +ĠвеÑĩ еÑĢ +åĩº ãģĹãģŁ +ĠÐ¥ о +Ġ×ŀ ר×Ĵ×Ļש +à¹ĥหà¹ī à¹Ģà¸Ľà¹ĩà¸Ļ +ãĤĴ 缮 +ãĤĴ缮 æĮĩ +׾ ×ŀ×Ļ×Ŀ +nÄħ ÅĤ +ĠÑģÑĤ анд +ĠÑģÑĤанд аÑĢÑĤ +ĠSü d +ĠT âm +اخت بار +à¹Ģà¸ģ à¸Ńรà¹Į +Ùħس رØŃ +Ġbi á»ĩn +ب Ùı +Ġص اÙĦ +ĠصاÙĦ ØŃ +ĠPh ụ +íľ ´ +ãĥ¬ãĥĵ ãĥ¥ãĥ¼ +Ġbụ ng +Ġrég ime +ĠØ£ Ø´Ùĩر +ĠÑĢабоÑĤ ник +à¸Ŀ ัà¸Ļ +اع تÙħ +اعتÙħ اد +Ġзам еÑĤ +ãģ¾ ãģ£ãģ¦ +Ġch ặt +æĿ¥ ãĤĭ +ĠاÙĦÙĤ ÙĪات +ãģ«åħ¥ ãģ£ãģ¦ +تØŃ Ø§ÙĦÙģ +Ùħ زÙĬد +ĠÙĬ صÙĦ +ìĹ ¼ +à¹Ģà¸Ĭ à¹ĩ +à¹Ģà¸Ĭà¹ĩ à¸Ħ +Ġk á»ĭ +Ġká»ĭ p +ĠìķĦ ì§ģ +×IJ׳ ×Ĵ +Ġобла ÑģÑĤÑĮ +Ġpomoc Äħ +Ġ×ķ ש׾ +ëĵł ì§Ģ +ĠGi ám +ĠSt ück +Ġchá y +ĠëĤĺ ìĺ¤ +ש ×Ļ×ĺת +×ŀ×ĵ ר +×ŀ×ĵר ×Ļ×ļ +Ġsüre ç +к ва +×ij׾ ×Ļ×Ŀ +×Ķ ת×Ļ +×Ķת×Ļ ×Ļ×Ĺס +ÙĤب اÙĦ +Ġס ×ķ×Ĵ +Ġס×ķ×Ĵ ×Ļ +ÑģÑĤ олÑĮ +ä½ķ ãĤĤ +×ĸ׼ ×ķר +è²· ãģĨ +å®ī ãģı +à¸Ħรัà¹īà¸ĩ à¸Ļีà¹ī +kö p +ĠÑģеÑĢ виÑģ +оÑĩ нÑĭÑħ +ê±° ëŀĺ +تأ Ùĥ +تأÙĥ ÙĬد +×ĵ ׾ק +Ġпо Ñĩем +ĠпоÑĩем Ñĥ +пиÑģ аÑĤÑĮ +×ij שר +ĠH Ãłng +ĠT ìm +Ġtr ừ +ãĤ» ãĥĥãĤ¯ãĤ¹ +×ķ׳ ×Ĵ +mız da +п Ñģи +ĠìŀĪ 기 +Ġr út +ز اÙĨ +تÙĨ ÙĪع +ÙħÙĤ ا +ÙħÙĤا ÙĪÙħØ© +Ġ׾צ ×ķר×ļ +Ġ×ij ×Ļר×ķש׾×Ļ×Ŀ +ãĥ´ ãĤ£ +eb ile +ebile ceÄŁi +ãĥ¦ ãĥ¼ãĤ +ãĥ¦ãĥ¼ãĤ ¶ +ãĥ¦ãĥ¼ãĤ¶ ãĥ¼ +ãĤĴä½ľ ãĤĭ +Ñģ меÑĢ +ÑģмеÑĢ ÑĤ +Ġì§ ģ +Ġì§ģ ìłij +ĠÐŁ аÑĢ +ØŃ Ø§Ø¶ +ØŃاض ر +Ùħ ÙĥاÙģ +ÙħÙĥاÙģ ØŃØ© +ล ิà¸Ļ +ãģ¦ ãģįãģ¦ +ÑĢоÑģ л +ĠÄ°ÅŁ te +ÙĤص ÙĬر +Ġ×ij×Ĵ ×Ļ׾ +Ġ×ŀת ×IJ×Ļ×Ŀ +Ġ×Ķ ×Ĺ×ĵ +Ġ×Ķ×Ĺ×ĵ ש×Ķ +ר ×ķ×¢ +Ġprodukt ów +ĠÙħ صدر +не ÑĨ +ĠاÙĦعÙħÙĦ ات +Ġçık ma +Ġد بÙĬ +ק ×Ļף +ת ×IJר +ת×IJר ×Ļ×ļ +׳×Ļ ×Ļ×ĵ +صر اع +l ève +צ ×Ļר +à¸Ķ ัà¸Ļ +à¹ĥหà¹ī à¹Ħà¸Ķà¹ī +ãĤ¿ãĤ¤ ãĥł +Ġgi ảng +С ÐŁ +ĠاÙĦÙħ ØŃÙĦ +ĠاÙĦÙħØŃÙĦ ÙĬØ© +ĠT ất +׾ ×ķ×ĺ +h á»ķ +Ġam éric +Ġaméric ain +Ġ×ijש׾ ×ij +Ġ׾×IJ ×ķ×ŀ×Ļ +Ġpe ça +ĠÑĢаз нÑĭÑħ +ãģĦãĤĭ ãģ¨ +ãĥĩ ãĥ³ +ס קר +Ġ×Ķ×ŀ×Ĺ ×Ļר +ãģ¨ãģĦãģĨ ãĤĤãģ® +رت بط +ĠиÑģÑĤ оÑĩ +ĠиÑģÑĤоÑĩ ник +สมัà¸Ħร สมาà¸Ĭิà¸ģ +Ġ à¸Ĺัà¹īà¸ĩ +Ġà¸Ĺัà¹īà¸ĩ à¸Ļีà¹ī +ĠT áºŃp +ãģ£ãģ¦ ãģĦãģĨ +ĠاÙĦÙĪ صÙĪÙĦ +Ġdéc ada +Ġо ÑĦоÑĢм +ĠоÑĦоÑĢм лен +สำหรัà¸ļ à¸ģาร +Ġog óln +ãģĨãģ¡ ãģ« +Ġvá rias +ãģĻãģİ ãĤĭ +ÙĪ Ùĩا +à¹Ĥà¸Ľà¸£ à¸Ķ +ĠÐłÐ¾ÑģÑģ иÑı +人 ãĢħ +ãģĹãģ¦ ãģįãģŁ +Ġsı rasında +Ġng ôn +س ÙĨØ© +تÙħ تع +×ŀ׼ ×ij×Ļ +Ġnh ấn +×¢ ×ŀ×Ļ×ĵ +á» ¨ +ж иÑĤÑĮ +ãĤī ãģĽ +gr áf +gráf ica +ĠÙĤ ÙĪÙĦ +ĠÙĤÙĪÙĦ Ùĩ +ëĭ¨ ì²´ +ห à¹īา +หà¹īา ม +使 ãģ£ãģ¦ +ת ×Ļ×ij +ת×Ļ×ij ת +i á»ĥu +à¹ģ à¸Ĭม +à¹ģà¸Ĭม à¸Ľ +à¹ģà¸Ĭà¸¡à¸Ľ à¹Į +Ạ¬ +ĠëĤĺ ëĿ¼ +ĠÙħباشر Ø© +Ġtr Äĥm +سÙĥ ÙĪ +ĠاÙĦØ° Ùī +Ġbi ç +Ġbiç im +ت راجع +Ġоб еÑģп +ĠобеÑģп еÑĩ +ĠобеÑģпеÑĩ ива +Ġвозд ÑĥÑħ +Ñĭв аÑĤÑĮ +ÙĦ ØŃÙĤ +ĠMü dü +ĠMüdü rl +ĠMüdürl Ã¼ÄŁÃ¼ +Ġyapt ır +Ġפר ס +Ġפרס ×ķ×Ŀ +Ø· ÙĪر +ÑģÑĤв оваÑĤÑĮ +ìŀ¥ ìĿĦ +à¸Ĺีà¹Īà¸Ķี à¸Ĺีà¹Īสุà¸Ķ +à¸Ńั ล +ÑĢ Ñİ +Ùħست ÙĤبÙĦ +Ñģл ÑĥÑĪ +ÑģлÑĥÑĪ а +èªį ãĤģ +Ġ׾ ×Ļ×ŀ +Ġ׾×Ļ×ŀ ×ķ×ĵ×Ļ +ת ש×ķ×ij +תש×ķ×ij ×ķת +ĠgerçekleÅŁtir il +ĠاÙĦ اتÙģاÙĤ +ĠÑĥÑĢов не +ĠÑĤ ÑĢав +Ġ×Ķ×ŀ ×ķף +ØŃÙģ اظ +ĠÙħ ÙIJ +ĠÙħÙIJ ÙĨ +ĠÙħÙIJÙĨ ÙĴ +Ġdem ás +×ŀ×ķ×ĸ ×Ļק×Ķ +ש ×Ļ×Ĺ×Ķ +Ġb ú +алÑĮ нÑĭм +ãĤı ãģŁ +ãĤıãģŁ ãģĹ +ĠاÙĦÙħÙĪ اد +ת ׼׳ +×ª×Ľ×ł ×ķף +ãĥŃ ãĥĥãĤ¯ +hi ếu +ĠÑĥ ме +ÙħØŃا ÙĪÙĦØ© +×IJ ×ķשר +Ġкон кÑĥÑĢ +ĠконкÑĥÑĢ Ñģ +Ġ×ŀ ×ij×Ĺ +Ġ×ŀ×ij×Ĺ ×Ļ×ł×ª +Ġan lam +Ġanlam ı +Ġli á»ĩt +Ġв Ñħод +ĠH ình +ĠÙĨ ÙĬ +ĠÙĨÙĬ ÙĪز +ãĤ¸ãĥ£ ãĥ¼ +×ij ×Ļ×¥ +ÑĤелÑĮ нÑĭÑħ +à¸Ĺุà¸ģ à¸Ńยà¹Īาà¸ĩ +ĠkiÅŁ inin +Ø£ Ùĥثر +ĠиÑģÑĤоÑĢ ии +Ġë³Ģ íĻĶ +פ׾ ס×ĺ +×¤×ľ×¡×ĺ ×Ļ׳×Ļ +ĠÑģ еÑĤ +ĠÑģеÑĤ и +dıģ ımız +íķĺ ëıĦë¡Ŀ +×Ķ ר +×Ķר ×ij×Ķ +ãģĻãĤĭãģĵãģ¨ ãģ¯ +Ġphi ếu +تØŃ Ø³ÙĬÙĨ +ĠÅĽ rod +ĠÅĽrod ow +ĠÅĽrodow isk +ĠÑĢаÑģ Ñħод +بر ÙĬد +Ġر ÙĬ +ĠرÙĬ اÙĦ +Ġ×ķ ׼×ļ +ì§Ģ ìļĶ +׼ ×ŀ×ķ +Ġ×¢×ľ ×Ļ×Ķ×Ŀ +f ÃŃcio +Ġkar arı +tıģ ını +ĠС ов +ĠСов еÑĤ +ãģĬéĩij ãĤĴ +м еждÑĥ +междÑĥ на +междÑĥна ÑĢод +междÑĥнаÑĢод н +Ġm á»Ŀi +ĠاÙĦØ¥ ÙĬر +ĠاÙĦØ¥ÙĬر اÙĨÙĬ +ĠاÙĦرÙĪ سÙĬ +ص ÙĨد +صÙĨد ÙĪÙĤ +ĠاÙĦØ¥ÙĨ ترÙĨت +Ġt ắm +ĠÑĤак ого +Ġ×ij ׾×ķ×Ĵ +Ġü crets +Ġücrets iz +×Ĺ×ĸ ×Ļר +ìĸ´ ìķ¼ +ĠPh ần +ï¼ ľ +Ġ×ĺ ×ij×¢ +Ġ×ĺ×ij×¢ ×Ļ +×IJ×ŀ ×IJ +اÙĤ ÙĦ +Ġcondi ções +ÙĤات ÙĦ +ĠÑĢезÑĥлÑĮÑĤаÑĤ е +ĠÑģво ими +צ×ij ×Ļ×¢ +gé ni +Ġz es +Ġzes po +Ġzespo ÅĤ +ÑĪ ив +Ġפר×ĺ×Ļ ×ķת +Ùħست Ø´Ùģ +ÙħستشÙģ Ùī +شر ع +Ġko ÅĽci +Ġ×Ķ×IJ ×Ļ׳×ĺר׳×ĺ +ĠЧ еÑĢ +поÑĩ ÑĤ +Ġactiv ités +çŁ¥ ãģ£ãģ¦ +Ġ×ij ×ĸ×Ķ +Ġyüz den +ãģªãĤĬ ãģ¾ãģĽãĤĵ +Ġíĺ ¹ +Ġíĺ¹ ìĿĢ +Ġ×ŀש ׳×Ķ +ĠÐĴ еÑĢ +Ġ×ij×IJ×ķת ×ķ +éĿ¢ çĻ½ +éĿ¢çĻ½ ãģĦ +شر ØŃ +gr ünde +Ùģ Ø´ +ÙģØ´ ÙĦ +Ġsé jour +ë´ IJ +Ġr ôle +Ø´ عار +ем Ñĭе +ĠاÙĦج سÙħ +алÑĮ ное +Ġìĥģ íĥľ +ï¼ ¤ +ë¯Ģ ë¡ľ +ĠÙĨ ÙĤØ· +ĠÙĨÙĤØ· Ø© +ãģĿãģĨ ãģł +ãģĻãĤĭ ãģ®ãģĮ +ห ู +Ġnh á»ĭ +Ġeconóm ica +ס×ĺ ×ķ×ĵ +ס×ĺ×ķ×ĵ ׳×ĺ +มี à¹Ĥà¸Ńà¸ģาส +Ġgest ão +รูà¹ī วà¹Īา +Ġlo ạt +ĠاÙĦÙħ Ùı +ĠاÙĦØŃ ÙħÙĦ +ĠاÙĦعÙħÙĦ ÙĬØ© +Ġê²ĥ ëıĦ +ĠÐľÐ¾Ñģк ва +ק×ĺ ×ķר +Ġпод ÑĢоб +ĠподÑĢоб н +Ġl Æ°ng +ت Ùģس +تÙģس ÙĬر +ĠاÙĦ بع +ĠاÙĦبع ض +ئ ت +Ðķ ÐĿ +ìĹ° 구 +à¹ĥหà¹ī à¸Ħุà¸ĵ +ãģĤãĤĬ ãģ¾ãģĹãģŁ +Ġbir ka +Ġbirka ç +ĠÄ° sl +ĠÄ°sl am +çĹĽ ãģ¿ +Ġh ảo +Ġм аÑı +ĠiÅŁ çi +ש × +×©× ģ +à¸ģาร à¹Ģมืà¸Ńà¸ĩ +×ķ×Ķ ר +Ġch ó +ëĨ Ģ +Ġyan lı +Ġyanlı ÅŁ +幸 ãģĽ +×IJר×Ĵ ×ķ׳×Ļ +à¸Ńาà¸Ī าร +à¸Ńาà¸Īาร ยà¹Į +ĠинÑĦоÑĢм аÑĨиÑİ +Ðĵ Ðŀ +׳ ×Ĺש +ĠìķĮ ìķĦ +ĠÑħаÑĢакÑĤеÑĢ иÑģÑĤ +ĠÑħаÑĢакÑĤеÑĢиÑģÑĤ ик +à¸Ħุà¸ĵ สามารà¸ĸ +è¦ĭ ãģĪãĤĭ +à¸Ĭัà¸Ķ à¹Ģà¸Ī +à¸Ĭัà¸Ķà¹Ģà¸Ī à¸Ļ +ĠdziaÅĤ al +ĠdziaÅĤal noÅĽci +à¹Ĥà¸ŀ สà¸ķà¹Į +ĠÐļ ол +ĠÙģ ÙĩÙĬ +Ġ×ŀ פ׳×Ļ +Ġ×Ķק שר +Ùħر Ùĥ +ÙħرÙĥ ز +Ġho á +Ġа пп +Ġапп аÑĢаÑĤ +Ġp ami +Ġpami ÄĻ +ĠpamiÄĻ ta +Ġç ünkü +×ĵ ×ķף +ãģ¯ ãģĵãģ¡ãĤī +ĠM Ãł +ĠÙĬ ÙĤدÙħ +ĠпÑĢ ез +ĠпÑĢез иденÑĤ +à¸Ńุ à¸ķ +à¸Ńุà¸ķ สา +à¸Ńุà¸ķสา ห +à¸Ńุà¸ķสาห à¸ģรรม +ì§Ģ ìĽIJ +Ġ×IJפשר ×ķת +sch üt +schüt z +ĠTi ên +Ġsay ılı +ĠгÑĢÑĥпп Ñĭ +оÑĩ нÑĭй +Ġ×ľ×¢ ×ŀ×ķ×ĵ +Ġwr zeÅĽ +ĠwrzeÅĽ nia +ĠÄIJ ầu +à¹Ģà¸Ĥà¹īา รà¹Īวม +nız da +Ø®ÙĬ ص +Ġgü nc +Ġgünc el +ĠÙĦÙĩ Ø°Ùĩ +ĠÙĬ عتبر +lé gi +ãĤı ãģĭãĤĭ +Ġr ừng +ظ Ùĩ +ظÙĩ ÙĪر +Ġ×ŀ×ij ×Ļף +Ġ기 íĥĢ +åĪĩ ãĤĮ +lan mÄ±ÅŁ +à¸Ĺีà¹Ī มีà¸Ħวาม +Ġh á»ģ +ت ÙĪجÙĩ +ĠاÙĦØ¥ دارة +Ġú til +ס פ×ķ +à¸Ħวาม รัà¸ģ +à¹Ĥ ฮ +Ġпол иÑĤ +ĠполиÑĤ ик +Ġsat ın +ĠÅŀ imdi +×ŀ ×ķר×Ļ×Ŀ +ìķĺ ëĭ¤ +×Ĺ ×ķ×ķ +×Ĺ×ķ×ķ ×Ļ×Ķ +à¸Ħà¸Ńม à¸ŀิ +à¸Ħà¸Ńมà¸ŀิ ว +à¸Ħà¸Ńมà¸ŀิว à¹Ģà¸ķà¸Ńรà¹Į +Ġا ذا +تخ اذ +ãĤ¨ ãĥ« +Ġpossibilit é +ยืà¸Ļ ยัà¸Ļ +Ġü nivers +Ġünivers ite +ĠاÙĦد ÙĪرÙĬ +ĠìķĬëĬĶ ëĭ¤ +ĠìĦľ ë¡ľ +ØŃ Ø§ÙĦ +Ġë ¨ +Ġë¨ ¼ +Ġ먼 ìłĢ +à¸Ĺีà¹Ī à¸ĸูà¸ģ +ì§ ľ +Ġsk óry +лÑĮ ÑĨ +à¹ĥà¸Ĭà¹ī à¹Ģวลา +×ijק שת +ĠØ° ÙĪ +æĹ¥ ãĢħ +ĠкоÑĤоÑĢ ÑĥÑİ +ĠÑĥÑĢов енÑĮ +ê¹ ¨ +à¹Ħ à¸Ĺ +ãĤµ ãĥĹãĥª +ãĤ¸ ãĥ§ãĥ³ +ãģĻ ãģ¹ãģį +ĠG ór +ãĥĪ ãĤ¤ +ãĥĪãĤ¤ ãĥ¬ +ĠyaÅŁ ama +Ġdá»ĭ p +Ġb ữa +à¸ĭ ุ +Ġöl üm +ãģ£ãģ¦ ãģıãĤĭ +à¸ģาร à¸Ħà¹īา +ש ער +ĠÑĤип а +Ġг еÑĢ +ĠгеÑĢ о +רק ×¢ +Ġu waż +Ġuważ a +ש×ŀ ף +Ġhast alık +ãĤıãĤĮ ãĤĭ +ba ÅŁÄ± +Ñĩ ÑĤо +Ġ×ij ×ŀר׼×ĸ +Ġìļ°ë¦¬ ìĿĺ +ĠÙĥاÙĨ ÙĪا +ĠØ£ بر +Ġأبر ÙĬÙĦ +ì¸ µ +à¹Ħà¸Ĥ à¹Ī +ĠÙĪ ÙĦÙĪ +à¸Ĺ ัว +à¸Ĺัว รà¹Į +ĠÙĪØ£ Ùĥد +à¸Ĭ วà¸Ļ +׾ ×ķק +æį ¨ +æį¨ ãģ¦ +Ġİç in +p éri +Ġy al +Ġyal nız +ÑĮÑı н +Ġg ắng +à¸ģà¹ĩ ยัà¸ĩ +ĠУкÑĢа ин +ĠÑģ ами +ĠпÑĢовед ен +à¸ķà¸ģ à¹ģà¸ķà¹Īà¸ĩ +ĠQu ân +é paration +ĠbaÅŁ ında +Ġzn ale +Ġznale ź +Ġznaleź Äĩ +ãĤ± ãĥ¼ +ãĥİ ãĥ¼ +à¸ĸูà¸ģ à¸ķà¹īà¸Ńà¸ĩ +ëª ¸ +Ġëı Į +ĠëıĮ ìķĦ +ĠSch üler +Ġпод гоÑĤов +ĠподгоÑĤов к +ع رÙĪ +عرÙĪ ض +la ÅŁtır +ĠÑģоÑģÑĤав лÑıеÑĤ +ĠпÑĢоиз вод +ĠпÑĢоизвод ÑģÑĤва +ĠоÑģнов е +ĠØ´ ÙħاÙĦ +à¸ģร ี +ĠgörÃ¼ÅŁ me +оÑĩ ек +Ġ×Ĺ×ijר ×Ļ×Ŀ +ÙħØ® اط +Ùħخاط ر +ï¼ Ń +ר פ×IJ +ĠM ẹ +ยà¸Ńม รัà¸ļ +Ġv ết +Ø® Ø° +ĠاÙĦت Ø· +ĠاÙĦتط بÙĬÙĤ +à¸Ļ ึà¸ģ +Ġ×Ķ ×Ľ×ł×¡×ª +ĠогÑĢ ани +ĠогÑĢани Ñĩен +ĠÃĩ alÄ±ÅŁ +ĠاÙĦÙħÙĨت دÙī +à¸Īำà¸Ļวà¸Ļ มาà¸ģ +ĠÑĤоÑĢ ÑĢ +ĠÑĤоÑĢÑĢ енÑĤ +ĠìĤ´ ìķĦ +à¸ŀลัà¸ĩ à¸ĩาà¸Ļ +à¸Ĭ ัà¸Ļ +ĠÐIJн дÑĢ +Ġréalis é +×ŀש ×IJ +à¹ģ à¸Ĭ +à¹ģà¸Ĭ รà¹Į +Ġб ог +มา à¹ģลà¹īว +ĠاÙĦÙĨ ار +Ġolmad ıģı +×ĵ ×¢×Ķ +ĠÑĥ веÑĢ +ĠÑĥвеÑĢ ен +ãĤĭ ãĤĤãģ® +Ø£ د +أد ÙĪات +Ġ×Ķ×ĸ ×ķ×Ĵ +Ø¥ عÙĦاÙħ +h á»ı +ĠNä he +ĠÑĤ еÑģÑĤ +Ġ×ŀ ×ķ׼ר +Ġë¬¸ìłľ ê°Ģ +ת ×ķצ×IJ×Ķ +m ó +mó vel +ĠاÙĦتج ارة +Ġмног иÑħ +обÑī а +Ġ×¢ סק×Ļ +ĠEdu cação +ק ש×Ļ×Ŀ +é tabl +établ issement +Ġд еле +иÑĢÑĥ еÑĤÑģÑı +Ø¢ ثار +Ġ×Ķ×ŀ ר׼×ĸ×Ļ +ãĥIJ ãĥ« +ĠвÑģÑĤÑĢ еÑĩ +ãģĴ ãĤĭ +Ġci Äħ +ĠciÄħ gu +ÙĬ ست +à¸łà¸² ว +à¸łà¸²à¸§ ะ +Ø£ Ùħر +Ġо жи +Ġожи да +Ġ ủy +ãĥŀ ãĥ« +ر اس +оÑĩ ной +ת ×Ĵ×ķ×ij×ķת +تع رÙĬÙģ +ĠÑģо ÑĨиалÑĮно +ãĤĴ éĸĭ +ĠиÑģÑģлед ова +Ġd ú +Ġdú vida +Ġsk ÅĤ +ĠskÅĤ ada +Ġhä ufig +ĠвÑĭб ÑĢ +ĠвÑĭбÑĢ аÑĤÑĮ +ãģ®ãģ§ãģ¯ãģªãģĦ ãģĭ +ĠÑģ илÑĮно +ÑĤвеÑĢж ден +ר פ +רפ ×ķ×IJ×Ķ +æĢĿ ãģĦãģ¾ãģĻ +ØŃر ص +ש×ķת ×£ +Ùħس جد +à¹Ĥà¸Ĭ วà¹Į +ем ÑģÑı +в ÑĪие +Ġм л +Ġмл н +Ġ׾×Ķ ×ij×Ļ×IJ +ĠÙĬ تعÙĦÙĤ +à¸ķ ูà¹ī +Ġп ÑĢаз +ĠпÑĢаз д +ĠпÑĢазд ник +Ġн ем +Ġнем ного +Ġs Ãłng +تÙĨ سÙĬ +تÙĨسÙĬ ÙĤ +Ġtá» Ŀ +Ġмед и +ãģ« æĪ +ãģ«æĪ » +à¸Ħว à¹īา +ãģĭ ãģijãĤĭ +×ij׾ ×ķת +ĠÑįк Ñģп +ĠÑįкÑģп еÑĢÑĤ +Ġдев ÑĥÑĪ +ĠдевÑĥÑĪ к +ĠØŃ Øµ +ÙĨØ´ Ø£ +ãģĮãģĤãĤĭ ãģ®ãģ§ +Ġت راÙħ +ĠتراÙħ ب +أس ÙĪاÙĤ +Ġ׾פ ׳×ķת +Ġا ï»· +ãģ« ãģı +ãģ«ãģı ãģĦ +ĠØ£ عÙĦÙī +Ġ׾×Ķ ×ŀש×Ļ×ļ +rä u +ש×ŀ ×Ļ×Ŀ +åĪĨ ãģij +ãģĻ ãģ§ +ãģĻãģ§ ãģ« +×Ķ׾ ׼×Ķ +×Ĺ׾ ×Ļ×£ +Ġì ±ħ +Ġì±ħ ìŀĦ +à¹Ģà¸Ī ริ +à¹Ģà¸Īริ à¸į +éģĬ ãģ³ +ج سد +สา à¸ĺ +สาà¸ĺ าร +สาà¸ĺาร à¸ĵ +Ġbas ın +ÑĢаР³ +г ад +Ġho ÅŁ +íķ µ +×ij×Ĺ ×Ļר×Ķ +×ŀס ×ļ +Ġìłľ íĴĪ +تÙħ ÙĪÙĬÙĦ +ĠL Æ°u +ë¡ľ ë¶ĢíĦ° +Ġп об +Ġпоб ед +ÙħÙĨ Ø° +常 ãģ« +ÙĤ س +ĠاÙĦÙħ صدر +ĠÙĪاÙĦ است +Ġkh ắp +ĠاÙĦج اÙĨب +Ġng uyá»ĩn +éĸĵ éģķãģĦ +ĠÑģÑĤ ÑĢа +ĠÑģÑĤÑĢа Ñħ +ĠÑģÑĤÑĢаÑħ ов +รี à¸ļ +Ġx Æ°Æ¡ng +Ġì° ¾ +Ġì°¾ ìķĦ +Ġng ại +г ал +à¸ĭ ีà¹Ī +Ġ×ij פ×Ļ×Ļס×ij×ķק +Ц енÑĤÑĢ +Ġaval iação +Ġeconóm ico +×ĸ ף +ĠÐľ ак +Ġinter és +à¸ģล ิà¹Īà¸Ļ +ÑģÑĤÑĮ Ñİ +ĠÄij Æ°Æ¡ng +å¼· ãģı +ĠKh ách +à¹Ģà¸Ļืà¹īà¸Ń หา +ĠYaz ı +è²· ãģ£ãģ¦ +Ðł Ðķ +à¹Ģà¸ŀิà¹Īม à¸Ĥึà¹īà¸Ļ +สม à¸ļู +สมà¸ļู รà¸ĵà¹Į +Ġм иÑĢов +×Ĵ ׳×Ļ×Ŀ +ĠÄij ức +à¸Ń ารà¹Į +ص اص +ãģĬ ãĤĪ +ãģĬãĤĪ ãģ³ +ÃªÌ ī +ĠاÙĦÙħؤ تÙħر +ĠاÙĦÙħر ØŃÙĦØ© +สà¸Ńà¸ļ à¸ĸาม +Ġà¸Īาà¸ģ à¸Ļัà¹īà¸Ļ +Ġت عد +ãģĿãģ® ãģŁãĤģ +Ġkh áng +à¸Ļ ิà¸Ķ +ãĥĬ ãĥ³ +ëĦ¤ ìļĶ +ĠاÙĦ اØŃت +ĠاÙĦاØŃت ÙĦاÙĦ +ìļ ķ +Ġмод ели +ĠпÑĢоÑĨ енÑĤ +à¸ŀวà¸ģ à¹Ģรา +Ġ×Ķצ ×ĵ +Ġ×Ķצ×ĵ ×ĵ×Ļ×Ŀ +ständ e +׳ ×Ĵר +Ġdot yc +Ġdotyc zÄħ +ĠdotyczÄħ ce +ĠÅĽ wiÄĻt +×ŀר ×Ķ +ãģĻãģĶ ãģĦ +ãĥĩãĤ£ ãĥ³ãĤ° +à¸ģาร สรà¹īาà¸ĩ +ë Ĥ¬ +Ġì°¸ ìŬ +Ñģ Ñħ +ÑģÑħ ем +ÙħÙĪ س +Ġn ấu +Ġ׾×ŀ×¢ ׾×Ķ +à¹Ģà¸Ľ à¹īา +à¹Ģà¸Ľà¹īา หมาย +Ġmù i +ائ ز +íĽ Ī +×Ĺ×ij ×ķר×Ķ +à¸ľà¸¹à¹ī à¹ĥà¸Ĭà¹ī +Ġpa ź +Ġpaź dzi +Ġpaździ ern +Ġpaździern ika +ลà¸ĩ à¹Ħà¸Ľ +ÙĤ اع +Ġch áºŃm +Ġözellik leri +ĠÄIJ o +ĠÄIJo Ãłn +ж ение +Ġh ẳ +Ġhẳ n +ĠaÅŁ k +ï½ į +ãĥij ãĤ¹ +×Ķ×ķר ×IJ×ķת +ĠÅ » +ĠÅ» y +×ŀ×ĸ ׾ +ĠÑĥ кÑĢа +ĠÑĥкÑĢа ин +à¹Ģà¸Ĭ ิ +à¹Ģà¸Ĭิ à¸į +Ðł Ðĺ +ĠzwiÄħz ku +×Ķ×Ĺ׾×ĺ ת +ãĤĵãģ§ãģĻ ãĤĪãģŃ +ãģ¦ ãģĬãĤĬ +лож иÑĤÑĮ +×ŀ ×ķ׳×Ļ×Ŀ +ฮ ิ +ì° ¬ +ĠاÙĦÙħØ´ ترÙĥ +ĠdÃ¼ÅŁ ük +аг енÑĤ +ĠاÙĦØ£ سبÙĪع +ĠÙĤ رÙĬب +ин д +инд ив +индив ид +индивид Ñĥ +индивидÑĥ алÑĮн +för der +Ġseç en +Ġseçen ek +Ġét ant +ĠлÑİб им +каз ÑĭваеÑĤ +ว ิà¸Ļ +Ġ×Ķ×ij ×IJ×Ļ×Ŀ +Ġд ов +Ġдов олÑĮ +ĠдоволÑĮ но +×¢×ĵ ×Ļ×£ +Ġok re +Ġokre ÅĽ +ĠokreÅĽ lon +Ġت رÙĬد +à¹Ģมืà¹Īà¸Ń วัà¸Ļà¸Ĺีà¹Ī +ãĤĪ ãģĭãģ£ãģŁ +Cum h +Cumh ur +Cumhur ba +Cumhurba ÅŁ +CumhurbaÅŁ kan +CumhurbaÅŁkan ı +Ġn ợ +à¸ľà¸¹à¹ī à¹Ģลà¹Īà¸Ļ +Ġcompl ète +à¹Ģà¸ŀ ศ +د ÙIJ +Ġdü z +Ġdüz ey +ãģ§ãģĤãĤĭ ãģĵãģ¨ +ext érieur +× ³ +Ġinform ação +ãĤ¯ãĥª ãĥĭãĥĥãĤ¯ +ĠPub li +ĠPubli é +ר ×ķ×ĵ +à¸Ħวาม à¸Ľà¸¥à¸Ńà¸Ķà¸łà¸±à¸¢ +ĠØ£ÙĬ ض +ĠØ£ÙĬض Ùĭا +ت سبب +ãģ¤ ãĤĤãĤĬ +из ма +à¸Ĥึà¹īà¸Ļ à¹Ħà¸Ľ +Ùĥ ÙIJ +ÙĦ ÙĪÙħ +Ġש צר +Ġשצר ×Ļ×ļ +ãģ¯ ãĤĤãģ¡ãĤįãĤĵ +Ġк ан +Ġкан ал +ãģ«ãģª ãģ£ãģ¦ãģĦãģ¾ãģĻ +ĠاÙĦØ£ Ùĥثر +ت اØŃ +ÙĨت Ùĩ +ÙĨتÙĩ اء +ا ÙĪÙĬØ© +ĠBug ün +н Ñģкого +à¸Ķ à¹Īวà¸Ļ +é volution +ãģ£ãģ¦ ãģĦãģ¾ãģĹãģŁ +ãĤ ħ +ĠV Æ°Æ¡ng +à¸łà¸²à¸ŀ ย +à¸łà¸²à¸ŀย à¸Ļ +à¸łà¸²à¸ŀยà¸Ļ à¸ķรà¹Į +Ġ×Ķ צ׾×Ļ×Ĺ +ĠاÙĦإسÙĦاÙħ ÙĬ +ÙĦÙĬ ب +Ġed ição +ÑģÑĤÑĢ ел +Ġkh úc +ÙĨÙħÙĪ Ø° +ÙĨÙħÙĪØ° ج +׾ צ×Ķ +ÑģÑĤав ил +à¸ĸ า +สรà¹īาà¸ĩ à¸Ħวาม +ãģĦ ãģ£ãģ± +ãģĦãģ£ãģ± ãģĦ +ÑģÑĤав лен +ĠاÙĦ ÙĤدس +Ġng ược +ب Ø® +ส หร +สหร ั +สหรั à¸IJ +ĠØ£ غ +Ġأغ سط +Ġأغسط س +ãģĨ ãģ¾ +ãģĨãģ¾ ãģı +ĠêµŃ ìłľ +ØŃض ار +Ġd ừng +æĬ¼ ãģĹ +ت ÙĪا +تÙĪا جد +ש×ŀ ×Ĺ×Ķ +ãģı ãĤĵ +Ġ×ij×¢ צ +Ġ×ijעצ ×Ŀ +×ŀ ׳×Ļ×ķת +×ķ ×Ļ×ĵ +×ķ×Ļ×ĵ ×IJ×ķ +à¸Ĭ ิà¸ĩ +Ġprac ÄĻ +Ġз аÑĤ +ĠзаÑĤ ем +ĠìŀIJ ìľł +Ġì¤ Ģ +Ġì¤Ģ ë¹Ħ +Ġb áºŃ +ĠbáºŃ c +Ġ×Ķ×ŀ צ×ij +ĠÙĤ ÙĬÙħØ© +à¹Ģà¸Ń à¹Ģà¸Ĭ +à¹Ģà¸Ńà¹Ģà¸Ĭ ีย +Ġperch è +ĠاÙĦع سÙĥر +ĠاÙĦعسÙĥر ÙĬØ© +ج ÙĬب +ëŀ µ +Ùħ Ùĩر +ÙħÙĩر جاÙĨ +Ùħ راÙĥ +ÙħراÙĥ ز +Ġод нако +à¸Ķี à¹Ĩ +Ġצ פ×ķ +Ġkullan ılan +Ġк ино +ãĥĨãĤ£ ãĥ³ãĤ° +ĠGi Ỽi +ت ÙĪز +تÙĪز ÙĬع +ย ิà¸Ļ +ยิà¸Ļ à¸Ķี +Ġc Åĵur +ĠiÅŁ aret +Ġ×ij×¢ ×ĸר +Ġ×ij×¢×ĸר ת +Ġп аÑĨи +ĠпаÑĨи енÑĤ +ãģ¿ãģŁãģĦ ãģ§ãģĻ +в ез +ли на +од е +Ġ×IJ×ķת ף +dıģ ınız +ĠÐIJ в +ĠÐIJв ÑĤоÑĢ +ï¼ ® +ĠC ần +ĠاÙĦا Ø® +ĠاÙĦاخ بار +Ġê±° ìĿĺ +Ġat enção +Ġgeld iÄŁi +ãĤª ãĤ¹ +ãĤªãĤ¹ ãĤ¹ +ãĤªãĤ¹ãĤ¹ ãĥ¡ +ев Ñĭе +кÑĢÑĭ л +à¹Ģà¸Ĭ ียà¸ĩ +à¹Ģà¸Ĭียà¸ĩ à¹ĥหมà¹Ī +Ġmar ço +ĠاÙĦÙħ ادة +Ġг ол +Ġsprzeda ży +Ġíķ´ ê²° +ĠÐķ го +ê¹ Ģ +Ġ׾ק×ij׾ ת +ĠاÙĦÙģ ÙĨاÙĨ +Ġcomunic ación +à¹Ģสà¹īà¸Ļ à¸Ĺาà¸ĩ +íĺ ¹ +à¸Ĭ ำ +à¸Ĭำ ระ +Ġ׼ ×IJ×ŀ +Ġ׼×IJ×ŀ ×ķר +à¸Ĭ à¹Īาà¸ĩ +ز Ùĩر +Ġklient ów +ива ÑİÑĤ +ан г +׳ ×ļ +Ġg á»įn +Ãľ R +ìĺģ ìĥģ +Ġغ زة +ìĿĮ ìĿĦ +Ġbez po +Ġbezpo ÅĽ +ĠbezpoÅĽ redni +ĠاÙĦÙħ ÙĪا +ĠاÙĦÙħÙĪا Ø·ÙĨ +ĠاÙĦÙħÙĪاطÙĨ ÙĬÙĨ +ãĤĮ ãģ¾ãģĻ +ĠмаÑĤ Ñĩ +×IJ ×ķף +Ġر سÙħÙĬ +ĠÑįк он +ĠÑįкон ом +ĠÑįконом иÑĩеÑģк +ãĥľ ãĥ¼ +Ġд иÑĢ +ĠдиÑĢ екÑĤоÑĢ +ĠÑģк оÑĢо +à¸ļ ำ +à¸ļำ ร +à¸ļำร ุà¸ĩ +ĠÑĦ ÑĥÑĤ +ĠÑĦÑĥÑĤ бол +Ġ×IJ ×Ļ׾ +Ġì¤ij êµŃ +ìľ ¤ +eÄŁ e +à¹Ħ à¸ģà¹Ī +tra î +traî n +ĠÑĤ ÑĢÑĥб +à¹Ģà¸ļ ื +à¹Ģà¸ļื à¹īà¸Ńà¸ĩ +à¹ģม à¸Ļ +ĠتØŃ Ø¯ÙĬØ« +Ġ׼ עת +ØŃ Ø§Ø³Ø¨ +lı ÄŁa +ק×Ļ ×Ļ×ŀ×Ļ×Ŀ +оÑģÑĤ ÑĮÑİ +à¸Ŀ ั +à¸Ŀั à¹Īà¸ĩ +Ø´ غÙĦ +ìĽ ¹ +Ġкажд ого +Ġbölüm ü +หà¸Ļ ี +Ġistedi ÄŁi +Ġtr Æ°ng +ãĥ Į +ฮ à¸Ń +Ø£ÙĨ Ø´ +Ø£ÙĨØ´ طة +ĠاÙĦÙħ سÙĬ +ĠاÙĦÙħسÙĬ ØŃ +ลัà¸ģษ à¸ĵà¹Į +Ġn á»Ńa +à¸Ĺีà¹Ī à¸ķà¹īà¸Ńà¸ĩà¸ģาร +ÑĪ ек +л Ñij +Ġש ×Ļ×Ķ +Ġש×Ļ×Ķ ×Ļ×Ķ +Ġkhu ôn +ĠÑĤÑĢеб ованиÑı +Ġ×ľ×¢ ×ĸ×ķר +ĠاÙĦع Ùħر +ราà¸Ħา à¸ĸูà¸ģ +ÙĩÙı ÙħÙĴ +ü st +üst ü +Ġден ег +Ġn ạ +à¸Ĥà¸Ļ ม +Ġбл аг +Ġблаг од +Ġблагод аÑĢ +ĠблагодаÑĢ Ñı +Ø¥ سÙĦاÙħ +à¸Ļิ ว +çŁ¥ ãĤīãģªãģĦ +Ø« ÙĤØ© +Ġг олоÑģ +×IJ×ķר ×Ĺ +Ġtr ứng +Ġод ном +ĠkoÅĦ cu +Ġ×ķ רק +Wi ÄĻ +WiÄĻ cej +Ġ×IJ ×Ļ׼×ķת +Ġ×IJ×Ļ׼×ķת ×Ļ +Ñģ оÑģ +Ġje żeli +以ä¸ĭ ãģ® +å°ı ãģķ +å°ıãģķ ãģª +олог ии +Ġоб ÑģлÑĥж +ĠобÑģлÑĥж ива +Ùĥت ابة +Ġê´Ģ ìĭ¬ +×¢ ש×Ļר +Ġaras ındaki +ĠÑĢай она +ÙĪا جب +Ġ×ij×Ĺ×Ļ ×Ļ +íķ´ 주 +Ġg óc +ай л +ĠT ình +æļ® ãĤī +æļ®ãĤī ãģĹ +æĻĤ ãģ«ãģ¯ +ĠгоÑĢод е +Ġ׼×IJ ×Ļ׾ +Ġ׼×IJ×Ļ׾ ×ķ +ĠC á»Ļng +ãģ©ãģĨ ãģĹãģ¦ãĤĤ +×Ĺ ×ķ×£ +تØŃ Ø±Ùĥ +ĠÑģлов ам +à¸Īะ à¸Ĭà¹Īวย +ĠاÙĦÙħست ÙĤبÙĦ +ÙĤ ض +ÙĤض ÙĬ +×ijס ×ķפ +×ijס×ķפ ×ķ +iÄĻ Äĩ +ĠY ıl +Ø´ ÙĬØ® +à¸Ħุà¸ĵ à¸Īะ +ש×ŀ ×ķת +Ġت عرض +Ġanál ise +ĠÑģоб иÑĢа +à¹Ģà¸ŀ à¸Ĭ +à¹Ģà¸ŀà¸Ĭ ร +Ġв ели +Ġвели к +สั à¹īà¸Ļ +Ġpop ulação +รà¹Īวม à¸ģัà¸Ļ +×Ĺ ×ŀ +×Ĺ×ŀ ×Ļש×Ļ +ס ×Ļס +åĨħ ãģ§ +Ġsob Äħ +ĠY ay +ĠYay ın +ãĥ¡ ãĥĭãĥ¥ãĥ¼ +ĠпÑĢедоÑģÑĤав лÑı +ãģł ãģ¨æĢĿãģĨ +Ġê³ł ê°Ŀ +Ġод ним +à¹ĥà¸Ļ à¹Ģรืà¹Īà¸Ńà¸ĩ +Ġs á»ķ +ĠÐĹ Ð´ÐµÑģÑĮ +Ġизмен ениÑı +ĠìĿ¼ ìĿĦ +ãģªãģ® ãģł +клад Ñĭва +ÑĢ ма +Ġ×ķ×ij ׼׾ +تأ ÙħÙĬÙĨ +ĠпÑĢи ÑıÑĤ +ĠпÑĢиÑıÑĤ н +Ùħ Ùħار +ÙħÙħار سة +ãģ¨ãģª ãģ£ãģ¦ +Ġج ÙħÙĬÙĦ +Ġì§ Ī +Ġì§Ī 문 +Ġquest ão +i é +ié ndo +หà¹īà¸Ńà¸ĩ à¸ŀัà¸ģ +ãĥij ãĥ¼ãĥĪ +ÑĤвеÑĢж да +н Ñģкой +з ал +มุ à¹Īà¸ĩ +á» Ĭ +Ġ×Ķ×IJ×Ĺר ×ķ׳×Ķ +ĠTh Æ° +주 민 +ĠاÙĦع ب +év én +évén ement +ÙĤÙĪ اعد +د Ùı +ĠìķĬ ìĬµëĭĪëĭ¤ +Ġë³´ 기 +Ġyapıl ması +à¹Ģร าà¸ģ +à¹Ģราà¸ģ à¹ĩ +ØŃ Ø°Ø± +ÙĤ صر +ãģ¦ãģĹãģ¾ ãģĦãģ¾ãģĹãģŁ +Ġà¹Ģà¸Ľà¹ĩà¸Ļ à¸ķà¹īà¸Ļ +ãģ¨ ãģ« +ãģ¨ãģ« ãģĭ +ãģ¨ãģ«ãģĭ ãģı +н ÑĨе +зв Ñĥк +ãģĹãĤĪãģĨ ãģ¨ +ĠاÙĦصØŃ ÙĬØ© +Ġש×Ķ ×Ļ×ķ +ĠDi ÄŁer +ÙĤÙĦ ÙĤ +ãĤ¸ãĥ£ ãĥ³ +Ġr á»Ŀi +Ġл еÑĩ +ĠлеÑĩ ениÑı +تب اد +تباد ÙĦ +צ פ×Ķ +à¸Ħวาม à¹Ģหà¹ĩà¸Ļ +ĠØ´ ب +Ġشب ÙĥØ© +ר ×Ļק +Ùħ عد +Ùħعد ات +dıģ ında +Ġ×ijש ׳×Ļ×Ŀ +Ġ×Ķ ×Ļשר×IJ׾ +Ġ×Ķ×Ļשר×IJ׾ ×Ļת +Ġsı nav +׳צ ×Ļ×Ĵ +วัà¸ķ à¸ĸุ +ĠاÙĦبر ÙĦÙħ +ĠاÙĦبرÙĦÙħ اÙĨ +t ivitÃł +ãĤĵãģł ãĤįãģĨ +ק×Ļ ×Ļ×ŀ +ÙĦÙĬ Ùĥ +ĠÄij ò +ĠÄijò i +ĠÐĺн ÑĤеÑĢ +ĠÐĺнÑĤеÑĢ неÑĤ +ãģ«ãģ¨ãģ£ãģ¦ ãģ¯ +ãģ£ ãģĵ +ק ×ķס +ست ØŃÙĤ +æķĻ ãģĪãģ¦ +ãĥĢ ãĥ¡ +ĠÙħÙĨ زÙĦ +à¹Ģà¸ĭ à¹ĩà¸Ļ +使 ãģĪãĤĭ +è¦ĭ ç©į +è¦ĭç©į ãĤĤãĤĬ +Ø£ Ùģ +Ø£Ùģ Ùĥار +Ġиг ÑĢов +ĠигÑĢов Ñĭе +Ġm ÄĻż +ĠmÄĻż czy +ĠmÄĻżczy zn +ĠاÙĦØŃ ÙĤÙĬÙĤÙĬ +ع بر +׼×ķ׾ ׳×ķ +íĿ ¥ +×ŀ×IJ ×ķ×Ĺר +خت ص +ãĥŀ ãĥŀ +Ġ×IJ×Ĺ ×ķ×ĸ +í ĮĢ +Ġr á»iji +Ġв ÑĤоÑĢ +ĠвÑĤоÑĢ ой +Ġl ẫn +пÑĢ ом +пÑĢом ÑĭÑĪ +пÑĢомÑĭÑĪ лен +пÑĢомÑĭÑĪлен н +ĠоÑĤноÑĪ ениÑı +Ġs ứ +Ġм обилÑĮ +ĠмобилÑĮ н +ĠÑįÑĤ омÑĥ +Ġt ạp +ĠìĤ¬ ê±´ +ĠìķĮ 볤 +Ùĥ Ùı +ÙĥÙı ÙħÙĴ +Ġק ×ķר×Ķ +ĠÑĦ иÑĢ +ĠÑĦиÑĢ м +Ġsık ıntı +׳ ׼ +׳׼ ×ķף +ÙĪÙĦÙĪج ÙĬ +ØŃ Ø§ÙĨ +Ġlo ạn +Ġ×IJ׾ ×£ +Ġm ắn +abh äng +abhäng ig +ĠÑĥÑĢов нÑı +Ġ׾×ij×ĵ ×ķק +ÙĬ ÙħÙĨ +lay ın +Ġh ải +Ġзав од +ĠìķĦ 주 +สà¸ĸ า +สà¸ĸา à¸ļัà¸Ļ +Ġgüven lik +à¹Ģà¸Ķ à¹Īà¸Ļ +×ij×ĵ ק +Ġë Ī +ĠëĪ Ħ +ĠëĪĦ 구 +éĩįè¦ģ ãģª +รà¸Ńà¸ĩ รัà¸ļ +sch lie +schlie ÃŁen +Ġìĸ ¼ +Ġìĸ¼ ë§Ī +Ġìĸ¼ë§Ī ëĤĺ +ÑĤи ки +íķľëĭ¤ ê³ł +ãģłãģ£ãģŁ ãĤī +Ġ×Ķ ×Ļ×ĺ×ij +ãģªãģijãĤĮãģ° ãģªãĤīãģªãģĦ +â Ì +Ã¢Ì £ +Ġph ạt +ak Ä±ÅŁ +ãģ¦ãģĹãģ¾ ãģĦãģ¾ãģĻ +à¹Ģà¸ĭ à¹ĩ +ĠС егоднÑı +Ġinsan ların +Ġdévelop pe +ת פר +תפר ×Ļ×ĺ +اÙĨت شار +ê° ij +Fran çois +Ø£ÙĦ ع +Ø£ÙĦع اب +ãĤĴ è¶ħ +ãĤĴè¶ħ ãģĪ +Ġê°Ļ ìĬµëĭĪëĭ¤ +ãĤ³ ãĥ¬ +ĠмеÑģÑı ÑĨев +íĮ ħ +ĠاÙĦج اÙħعة +ìĿ¸ íĦ° +ìĿ¸íĦ° ëĦ· +×ĵר ×ķש +ĠÙĪØ£ شار +ĠпÑĢав ила +ãģĿãģĵ ãģ« +×Ĺ ×ŀ×ĵ +à¹Ģหà¸ķุ à¸ģารà¸ĵà¹Į +Ġê²½ íĹĺ +ãģ¶ ãĤĬ +׾ ש +׾ש ×ķף +à¹Ģ à¸ĸ +ĠDo ÄŁu +ĠиÑģполÑĮзов ание +Ġçoc uÄŁu +магазин е +ĠÄiji á»ĥn +Ġas lı +Ġaslı nda +Ġdoen ça +Ġس اع +Ġساع ات +ĠиÑģполÑĮзов аниÑı +ר ×ķצ×Ļ×Ŀ +ĠзнаÑĩ иÑĤ +ĠÑĢаР¼ +ĠÑĢам каÑħ +ê±° 리 +Ġп ÑĭÑĤа +ãĥģ ãĥ³ +Ġпо Ñģк +ĠпоÑģк олÑĮ +ĠпоÑģколÑĮ кÑĥ +Ø¥ بر +إبر اÙĩ +إبراÙĩ ÙĬÙħ +ĠÑĤÑĢ еÑħ +ĠGen ç +س ÙĪÙģ +Ġve ÃŃculo +ĠNg ân +ĠоÑĩеÑĢ едÑĮ +à¸Ħร ึà¹Īà¸ĩ +×IJ ×ij×Ļ +à¸ķ à¹īม +ãĤĴè¡Į ãģĦ +ĠاÙĦساب ÙĤØ© +на ÑĨи +наÑĨи она +наÑĨиона лÑĮн +Ġgest ión +ت ÙĤد +ĠاÙĦبÙĬ اÙĨ +ĠاÙĦبÙĬاÙĨ ات +ĠاÙĦ اÙĨتخاب +ĠاÙĦاÙĨتخاب ات +à¹Ģà¸Ĭ à¹Īา +×ĵ ×IJ×Ĵ +Ġ׾×Ĵ ×ŀר×Ļ +Ġت ØŃتاج +Ġth ôn +à¸ķ à¹īà¸Ńà¸Ļ +à¸ķà¹īà¸Ńà¸Ļ รัà¸ļ +女 ãģ® +女ãģ® åŃIJ +Ġth ợ +Ø· ØŃÙĨ +ารà¹Į à¸Ķ +ת ×ŀ×Ļ×ĵ +ĠÑģам Ñĭм +Ġìĭľ íĸī +Ø¥ صد +إصد ار +ĠNgh á»ĩ +ìķ ķ +س ئ +سئ ÙĦ +à¸Ń าร +à¸Ńาร ม +à¸Ńารม à¸ĵà¹Į +à¹ģ ฮ +׳×ĺ ׾ +Ġì¢ĭ ìķĦ +×ķ׾ ׾ +Ġ×ij ×Ľ×ª×ij +ãĤ« ãĥ© +צע ×Ļר×Ļ×Ŀ +تعب ÙĬر +Ġ×ŀ קר×Ķ +ĠÑĦак ÑĤоÑĢ +Ġت ÙħاÙħ +ĠتÙħاÙħ ا +ëį ķ +Ġv Æ°á»Ŀ +ĠvÆ°á»Ŀ n +Ġd Ä±ÅŁÄ± +ãģĦ ãģ¡ +Ġ׾ק ׳×ķת +ĠاÙĦع ÙĦاÙĤات +п Ñĥб +пÑĥб ли +Ø¥ ÙĬÙħ +Ø¥ÙĬÙħ اÙĨ +à¸Ńำ à¸Ļา +à¸Ńำà¸Ļา à¸Ī +åIJ« ãģ¾ãĤĮ +ãĤĭ ãģŁãĤģãģ« +ס ×Ĵ +ס×Ĵ ׳×ķף +تØŃ Ø¯ÙĬ +Ġaup rès +ĠاÙĦج Ùĩا +ĠاÙĦجÙĩا ز +Ġ×ŀ ת×Ĺת +ен нÑĥÑİ +Ġз им +à¸ģา à¹ģà¸Ł +Ġ×ijת ×ķר +Ġngh è +Ġnghè o +ĠÐĽ Ñİ +ĠÐĽÑİ Ð± +תק צ×Ļ×ij +×ŀ×¢ ש×Ķ +ĠاÙĦبÙĬ ت +צ ×Ļפ +ĠобÑıз ан +ĠM á»Ĺi +ĠТ ÑĥÑĢ +ĠÙĪب اÙĦت +ĠÙĪباÙĦت اÙĦÙĬ +Ġdéc ision +Ġب د +Ġبد أت +Ġc ục +Ġb ask +Ġbask ı +Ġhat ırl +Ġhatırl a +å°ı ãģķãģĦ +Ġgerçek ten +à¸ľ ัà¸ģ +åı¯èĥ½ ãģª +×ŀ×IJ ס +Ġcr ÃŃtica +ĠìĿĺ ìĽIJ +عÙĤ ÙĪد +×ĺ ׼׳ +×ĺ׼׳ ×ķ׾×ķ×Ĵ×Ļ×Ķ +è¨Ģ ãģĪãģ° +ĠÙĤ ÙĨا +ĠÙĤÙĨا Ø© +ĠìĿ´ê²ĥ ìĿĢ +ت صر +à¸Ł ัà¸Ļ +ĠÑĢе ÑĨеп +ĠÑĢеÑĨеп ÑĤ +ĠبÙĨ Ùģس +ÑĢо ÑĪ +ĠмаÑĢ ÑĤа +Ġson ras +Ġsonras ı +×ķ×ij ש +ãĥª ãĤ¹ãĤ¯ +ĠFranç ais +á» ļ +ê° Ķ +Ġ×Ķ×ijר ×Ļת +פ ×Ļצ +פ×Ļצ ×ķ×Ļ +ĠÙĦÙħا ذا +ĠÐļи ев +ĠÑģ мÑĭÑģл +ê¸Ī ìľµ +ãĤ·ãĥ£ ãĥ« +ãĥ© ãĤ¤ãĥĪ +ìĽ ĥ +×ŀ ×Ĺר +ãĨ į +Ġkullan ım +Ġ×IJצ׾ ׳×ķ +Ġt Ãłn +ãĥı ãĥ¼ +ãģ¨ ãģ¨ãĤĤ +ãģ¨ãģ¨ãĤĤ ãģ« +ÑĢ ег +ÑĢег и +ÑĢеги он +ãģªãģı ãģªãĤĭ +Ġch ảy +Ġج ÙĩØ© +ÅĦsk iej +à¸Ńี à¹Ģม +à¸Ńีà¹Ģม ล +ãģį ãģ£ãģ¨ +ĠìĺĪ ìĤ° +Ġkit abı +Ġedu cação +Ġbul uÅŁ +олог иÑı +Ġкон кÑĢ +ĠконкÑĢ еÑĤ +×Ĵ ×Ļר +ĠпÑĢед лаг +ĠпÑĢедлаг аеÑĤ +ĠY ên +Ġíķľ ë²Ī +Ġ×ŀ ר׼×ĸ×Ļ +à¹Ģà¸Ľà¸´à¸Ķ à¹Ģà¸ľà¸¢ +ÑĤвеÑĢ д +ĠH á»ĩ +ĠÐĵ ÑĢ +à¸Ŀ à¹īา +×Ķ שק +×Ķשק ×¢×Ķ +Ġна Ñĥк +ìłIJ ìĿĦ +Ġн елÑĮ +ĠнелÑĮ з +ĠнелÑĮз Ñı +г ин +ĠB öl +ĠBöl ge +Ġв ла +Ġвла ÑģÑĤи +à¹Ģà¸Ļ à¹ĩ +à¹Ģà¸Ļà¹ĩ à¸ķ +ê³ ¨ +Ġö ld +Ġöld ür +׼׳ ×¢ +ĠاÙĦÙĩ ÙĬئة +ت ارÙĬØ® +ĠÐij ÑĢ +ĠÑģ мож +ĠÑģмож еÑĤе +ĠL úc +à¹Ħà¸Ľ à¸ĸึà¸ĩ +ĠBakan ı +Ġerklä rt +ĠÐIJ на +Ġsc ène +åķı ãģĦ +åķıãģĦ åIJĪãĤıãģĽ +ÙħÙĩ ÙĨد +ÙħÙĩÙĨد س +Ġн азвание +ив аниÑı +ãĤĴ å¤īãģĪ +ä»ĺãģį åIJĪ +ãĥij ãĤ½ +ãĥijãĤ½ ãĤ³ãĥ³ +æĺİ ãĤī +æĺİãĤī ãģĭ +à¹Ģà¸Ńà¸ģ สาร +à¹Ģà¸ģิà¸Ļ à¹Ħà¸Ľ +л еп +ãģĹãģŁ ãĤĤãģ® +ĠC âm +ĠCâm ara +ק×ķ׾ ׳×ķ×¢ +Ġ×ij×Ĵ ×Ļף +Ġoc zy +Ġoczy wiÅĽcie +att ivitÃł +ãĥĵ ãĥ¥ãĥ¼ +Ġeduc ación +Ä° YE +ê¹Į ìļĶ +ãĤ¨ ãĥªãĤ¢ +н еÑģÑĤи +Ġm óg +Ġmóg ÅĤ +Ġק×ĺ ׳×Ļ×Ŀ +ĠPr ä +Ġ×ľ×¢ ×ij×ķר +بÙĨ Ùī +з ол +зол оÑĤ +Ġwn ÄĻtr +ĠwnÄĻtr z +Ġconstr ução +รัà¸ļ รà¸Ńà¸ĩ +س جÙĨ +Ġק ×ķ׳ +ס ×Ļפ×ķר +ĠÙħ دÙī +رض Ùī +п лав +ï¼ ¥ +Ġil a +Ġila ç +ãĤĭ ãģ¹ãģį +ĠÙħ ÙĪÙĤÙģ +à¸ģร ุ +à¸ģรุ à¸ĵา +chodzÄħ c +ĠÑĤÑĭ Ñģ +Ðķ вÑĢо +ĠÙĬ ØŃدث +ãĥ¡ ãĤ¤ãĥ³ +ĠاÙĦص ØŃÙĬ +ĠÐĶ ан +دع اء +ãĤ´ ãĥ¼ãĥ« +ש ×ł×ª×Ļ +×©×ł×ª×Ļ ×Ļ×Ŀ +à¸Ķà¹īวย à¸ģัà¸Ļ +Ġol acaģı +Ġ×ij ×ŀ×Ĺ×Ļר +×Ķ ק +×Ķק ×ŀת +ãĥ¢ ãĥİ +ĠçalÄ±ÅŁ tı +Ġjó venes +ãģĦãģı ãĤī +ĠÙħ عدÙĦ +ĠC Å©ng +ĠSeg ún +Ġdönem de +Ġ׾ ×Ļ×ĵ×Ļ +ãģį ãģ¡ +ãģįãģ¡ ãĤĵ +ãģįãģ¡ãĤĵ ãģ¨ +Ùģر ÙĨس +ÙģرÙĨس ا +åIJij ãģį +Ġcamp aña +ĠÑģам оÑģÑĤоÑı +ĠÑģамоÑģÑĤоÑı ÑĤелÑĮно +á» Ģ +ÙĤ ÙĪا +س ÙĦاØŃ +à¸ģระ à¹ģ +à¸ģระà¹ģ ส +ĠполÑĮз Ñĥ +n qu +nqu ête +รà¹Īวม à¸ģัà¸ļ +ëĬIJ ëĥIJ +à¸Ĺีม à¸Ĭาà¸ķิ +Ġyıll ık +ìĬ ¬ +ĠØ£ صØŃاب +ill é +Ġdó la +Ġdóla res +Ġк ож +Ġкож и +ล à¹īà¸Ń +à¹Ģรีย à¸ļร +à¹Ģรียà¸ļร à¹īà¸Ńย +à¹Ģà¸ŀ ิ +à¹Ģà¸ŀิ à¹Īà¸ĩ +ÑĢиÑĤоÑĢ и +Ġí ijľ +Ġíijľ íĺĦ +ĠпеÑĢ ев +ĠпеÑĢев од +פ×Ĵ ×Ļ×¢×Ķ +ĠdeÄŁerlendir me +Ùģ ائ +ĠвÑĭ год +ınız ı +×ķ׼ ×Ļ×Ĺ +ĠдоÑģÑĤ иг +Ġng Ãłn +æĢĿ ãģ£ãģŁ +ĠÐķ ÑģÑĤÑĮ +ĠاÙĦر غÙħ +ĠzwiÄħz ane +رب Ø· +à¸Ļ ึà¸ĩ +Ġ׾×Ĺ ×ķק +Ġszczeg óln +Ġszczególn ie +Ġبا ستخداÙħ +ĠfÃŃs ico +×¢ ס +עס ×ķק +سÙĦ ÙĪÙĥ +Ġا ØŃد +Ñĩ ÑijÑĤ +×ĸ׼ ×Ķ +Ġl á»ĩnh +ĠÙĪ ØŃت +ĠÙĪØŃت Ùī +à¸Ħวาม สามารà¸ĸ +à¸Ńยูà¹Ī à¹ģลà¹īว +à¸ģาร à¹Ģà¸Ķิà¸Ļà¸Ĺาà¸ĩ +تخ Ø° +צ×Ļ ×ķ×ĵ +ĠاÙĦØ£ س +ĠاÙĦأس ÙĩÙħ +Ġt á»ĩ +ãģ£ãģ¦ ãģĦãģ¦ +สร ุ +สรุ à¸Ľ +Ġком ÑĦ +ĠкомÑĦ оÑĢÑĤ +ìĺ¤ ëĬĶ +ĠÑĢаз в +ĠÑĢазв ива +л анд +h änge +ĠبÙĨ سبة +à¹Ģà¸Ĥ ียว +עצ ×Ŀ +Ġ׾ ×ľ×Ľ×ª +Ñģо ÑĨиалÑĮн +Ġëĭ¤ìĿĮ ê³¼ +Ġרש ×ķ×ŀ +×ŀר ×Ĺ×ij +س ÙĤØ· +Ġalan ı +ĠÄij á»ĩ +é£Łãģ¹ ãĤĭ +à¸Ķ ึà¸ĩ +Ġgegen über +ĠبÙĩ Ø°Ùĩ +à¸ĸืà¸Ń à¹Ģà¸Ľà¹ĩà¸Ļ +ëķ ħ +à¸Ħà¸Ļ à¹Ħà¸Ĺย +ãĤ¢ ãĤ¦ +ãĤ¢ãĤ¦ ãĥĪ +ศ ัà¸ģ +ศัà¸ģ à¸Ķิ +ศัà¸ģà¸Ķิ à¹Į +ÙĤÙĪ اÙĨ +ÙĤÙĪاÙĨ ÙĬÙĨ +Ġhá»Ļ p +ãģªãģıãģª ãģ£ãģ¦ +Ġ×IJ ×ŀ׳ +Ġ×IJ×ŀ׳ ×Ŀ +à¹Ģà¸ķ ืà¸Ńà¸Ļ +ĠзавиÑģ им +ĠзавиÑģим оÑģÑĤи +ת ×Ļ×IJ +ת×Ļ×IJ ×ķר +å§ĭãĤģ ãģŁ +Ġng á»į +Ġngá»į t +íĴ į +ê³¼ ìŀ¥ +Ġb ại +ãģ§ãģį ãģ¦ +Ġcomeç ar +à¸Ľà¸£ าà¸ģ +à¸Ľà¸£à¸²à¸ģ à¸ı +Ġгод Ñĭ +м еÑģ +ĠاÙĦÙħست ÙĪÙī +ĠÑģам Ñĭе +л леÑĢ +ãģ£ãģ¦ãģĹãģ¾ ãģĦãģ¾ãģĻ +ãģ¨ãģ® ãģĵãģ¨ +bi ó +à¸ģล à¹Īà¸Ńà¸ĩ +ĠاÙĦز ÙĪج +ãģ«è¡Į ãģ£ãģŁ +à¸Ħà¹Ī à¸Ńà¸Ļ +à¸Ħà¹Īà¸Ńà¸Ļ à¸Ĥà¹īาà¸ĩ +ĠbaÄŁ l +ĠbaÄŁl ant +ĠbaÄŁlant ı +確 ãģĭ +確ãģĭ ãģ« +ãĥľ ãĥ¼ãĥ« +çµĤ ãĤıãĤĬ +ש ×ŀר +à¸Ĺีà¹Ī สามารà¸ĸ +ÙĦ زÙħ +д аеÑĤÑģÑı +รัà¸ļ à¸Ľà¸£à¸° +รัà¸ļà¸Ľà¸£à¸° à¸Ĺาà¸Ļ +å¤ī ãĤıãĤĬ +ï¼ ¢ +ĠìĺĪìĪĺ ëĭĺ +ãĤĪãģĨ ãģ¨ +มัà¸ģ à¸Īะ +ĠH Æ°Æ¡ng +ÙĨ ÙģØ° +×ŀ×ĵ ×ĵ +ĠìĿ¸ ìłķ +Ñħод иÑĤÑĮ +ĠзавиÑģ иÑĤ +×ķ×ĵ ×Ļ×¢ +ãģĵãģ¨ãģĮ ãģĤãĤĬãģ¾ãģĻ +ع راÙĤ +سط ØŃ +à¸ģำ à¹Ħร +ëĵ¤ ëıĦ +×Ļצ ×Ļר×Ķ +ãģĨ ãģĵãģ¨ +ÙĦا ØŃÙĤ +ãģĦ ãĤĮãģ° +ĠиÑģполÑĮз ÑĥÑİÑĤ +ĠB ợi +Ġשק׾ ×Ļ×Ŀ +ÑĨи кл +ÐIJ Ðŀ +Ġ×ijש ׳×Ķ +ÙĨØ´ Ø· +Ġש ×Ļ׳×ķ×Ļ +Ġש×Ļ׳×ķ×Ļ ×Ļ×Ŀ +Ġpobl ación +ĠH Æ°ng +ระ ว +ระว ัà¸ĩ +رÙĬاض Ø© +ر صد +تÙĤ ÙĦÙĬ +تÙĤÙĦÙĬ د +Ġülk em +Ġülkem iz +à¸Ĭ ะ +ãĤ¯ãĥª ãĥ¼ãĥł +èģŀ ãģĦãģŁ +Ġwa ż +Ġważ ne +ê±° ëĵł +ê±°ëĵł ìļĶ +×ŀ×IJ ×ijק +×Ĺ×ĵ ש×ķת +ĠW roc +ĠWroc ÅĤaw +ĠKü ltür +s ist +sist ência +×¢×ĸר ×Ķ +Ġg Æ°Æ¡ng +รà¹īาà¸Ļ à¸Ħà¹īา +ĠÙĪØ£ ÙĪضØŃ +ánd ose +ãĤ· ãĥ¼ãĥ³ +×IJ׳ ר×Ĵ +×IJ׳ר×Ĵ ×Ļ×Ķ +ãģªãģĦ ãģ§ãģĻ +Ġkh ủng +Ġ문 ìĦľ +Ġ×ij ×ĵ×ijר +×ĵ ×Ļ×ķ +×ĵ×Ļ×ķ ×ķ×Ĺ +Ġré gl +ÙħÙĪ اد +об оÑĢ +обоÑĢ оÑĤ +Ġ×Ķ ×ij׾ +Ġ×Ķ×ij׾ ×ķ×Ĵ +ØŃ Ø§Ùħ +ĠاÙĦع اص +ĠاÙĦعاص ÙħØ© +пеÑĢ аÑĤоÑĢ +ت Ø®ÙĦ +تخÙĦ ص +ãģŁãģł ãģĹ +ت سÙħ +à¹Ĥรà¸ĩ à¸ŀ +à¹Ĥรà¸ĩà¸ŀ ยา +à¹Ĥรà¸ĩà¸ŀยา à¸ļาล +ĠY ük +ĠYük sek +Ġש ׳×Ļת +Ġש׳×Ļת ף +liÄŁ e +Ġפ ת +Ġפת ×ķ×Ĺ +Ġbe ÄŁ +ĠbeÄŁ en +Ġ×ŀ ×ķר +Ġ×ŀ×ķר ׼×ij +Ġرس اÙĦØ© +íĨµ ìĭł +Ġaval ia +Ġavalia ções +Ġman h +Ġmanh ã +Ġìķ ŀ +Ġìķŀ ìľ¼ë¡ľ +ÙĤ تر +ÙĤتر ØŃ +à¹Ģà¸ģ ืà¸Ń +à¹Ģà¸ģืà¸Ń à¸ļ +Ġpropos é +Ø£ Ùħا +Ø£Ùħا ÙĥÙĨ +ĠÐŀ Ðŀ +ĠÐŀÐŀ Ðŀ +ÙħÙĤ ار +ÙħÙĤار ÙĨØ© +ëĦ IJ +ãģĦãģŁãģł ãģı +ÙĤ ÙĬÙĦ +Ġна ÑĪиÑħ +ãĤ« ãĥĥãĥĹ +×Ĺ׾ ת +Ġëĭ¤ ë§Į +à¸Ĺัà¹Īว à¹Ĥลà¸ģ +ãĥį ãĤ¿ +ØŃس اس +ãģ«ãģª ãĤĮ +ج ائ +جائ زة +é change +é conom +économ ie +Т Ðĺ +סת ׼׾ +à¸Ĺัà¹īà¸ĩ สà¸Ńà¸ĩ +ĠاÙĦØ® اÙħ +ĠاÙĦخاÙħ س +ק ×ĺ×¢ +au waż +à¸ľà¸¹à¹ī à¸Ĭาย +à¹ģà¸Ľà¸¥ à¸ģ +åIJĮæĻĤ ãģ« +зн аниÑı +ãģĦãģŁãģł ãģįãģ¾ãģĹãģŁ +Ġ×ŀ×ij ׾×Ļ +à¸Ĥà¸Ń à¹ĥหà¹ī +ĠاÙĦت ربÙĬØ© +Ġdécou vert +Ġżyc iu +apr ès +Ġy ab +Ġyab anc +Ġyabanc ı +ĠbaÅŁ layan +ìĹĪ ëįĺ +Ġhes abı +Ġë§Į ìķ½ +ë§ Īëĭ¤ +ĠTh ánh +ãĥ´ ãĤ¡ +à¸Ľà¸£à¸±à¸ļ à¸Ľà¸£ +à¸Ľà¸£à¸±à¸ļà¸Ľà¸£ ุà¸ĩ +ĠM ặc +à¹Ģหà¸ķุ à¸ľà¸¥ +ĠÐij ез +Ġcapac itÃł +ÅĤe ÅĽ +ĠпÑĢе им +ĠпÑĢеим ÑĥÑīеÑģÑĤв +ĠÅļ wiÄĻt +Ġpubli é +×ŀ×¢ צ×ij +Ùħشار Ùĥات +à¸łà¸² ษ +à¸łà¸²à¸© ี +Ġdeux ième +ĠÙħØŃ Ø§Ùģظ +ĠÙħØŃاÙģظ Ø© +ĠSch ön +ï½ ¤ +Ġ×Ķ ×ij×¢ +Ġ×Ķ×ij×¢ ×Ļ×Ķ +ĠÙĪاÙĦ ÙĦÙĩ +è¨Ģ ãģ£ãģŁ +à¸ķ à¹īาà¸Ļ +วร รà¸ĵ +à¸Ĺิ ศ +ĠbaÅŁ ına +Ġmog ÄĻ +ש ×Ļפ×ķר +ĠÙĪ عد +ĠÙĪعد Ùħ +Ġhistó rico +Ġk ısı +ĠìĿ´ ê²Į +ĠPol ÃŃtica +ĠÑģиÑĤÑĥ аÑĨии +ĠkoÅĦ ca +×ij×ĵ ×Ļק×Ķ +ĠاÙĦسÙĬ ارات +ãģªãĤī ãģ° +ãĤµ ãĥ© +ãĤĭãģĵãģ¨ãģĮãģ§ãģį ãĤĭ +Ġdecis ão +×ķ ×ķ×ĵ +lä ss +läss ig +Ġ׾ ×Ļשר×IJ׾ +ĠÙĬ أتÙĬ +ר ×ķ×ĸ +ö ÄŁ +Ã¶ÄŁ ret +Ã¶ÄŁret im +Ġд ек +Ġдек аб +Ġдекаб ÑĢÑı +Ġש ×Ĺ×ķר +ãģ¦ãģıãĤĮ ãģŁ +عب ارة +Ġélect rique +ĠاÙĦتÙĨ ÙħÙĬØ© +جر Ùī +ĠìĪĺ íĸī +à¸Ĺ ู +ĠÑĢе алÑĮно +Ñģп оÑģоб +à¸Ħล à¹īาย +Ġس عÙĪد +ön ü +ĠÙģ ÙħÙĨ +تÙĥ ÙĪ +تÙĥÙĪ ÙĬÙĨ +ĠкаÑĩ еÑģÑĤво +ĠконÑĤ ак +ĠконÑĤак ÑĤ +Ġsöz leÅŁme +à¸Ń à¹īาà¸ĩ +Ġت ÙĪÙģ +ĠتÙĪÙģ ÙĬر +×Ķ×ĸ ×ĵ +×Ķ×ĸ×ĵ ×ŀ׳×ķת +ĠØ·ÙĪÙĬÙĦ Ø© +Ġtér mino +Ġ×IJ ×Ļפ×Ķ +ãĥĵ ãĥ« +ส à¹Ĥม +สà¹Ĥม สร +ĠاÙĦ اث +ĠاÙĦاث ÙĨÙĬÙĨ +ев иÑĩ +Ġopin ión +à¸Ľ วà¸Ķ +åı¤ ãģĦ +ร à¹Īา +ĠB iaÅĤ +ĠÑģÑĤ ал +ĠÑģÑĤал о +ó logo +ĠìķĦ ëĭĪëĭ¤ +Ġ×IJ ×Ļת +Ġ×IJ×Ļת ×ķ +à¹Ģหà¹ĩà¸Ļ วà¹Īา +à¸ļ ารà¹Į +çĦ ¼ +çĦ¼ ãģį +ĠìĿ´ìļ© ìŀIJ +ĠнекоÑĤоÑĢ Ñĭе +ks z +ksz taÅĤ +ksztaÅĤ c +ãĤŃãĥ£ ãĥĥãĤ· +ãĤŃãĥ£ãĥĥãĤ· ãĥ³ãĤ° +Ġro ÅĽ +ĠroÅĽ lin +ÑĢаж а +×ij׳×Ļ ×Ļ×Ķ +à¸Ľà¸£ สิ +à¸Ľà¸£à¸ªà¸´ à¸ķ +Ġgörd ü +×ŀ׳×Ķ ×Ļ×Ĵ +å¤īãĤı ãģ£ãģ¦ +Ġ×IJ ×Ķ +Ġ×IJ×Ķ ×ijת×Ļ +à¹Ģร à¹Īà¸ĩ +Ġön ünde +Ġê·¸ ëĥ¥ +пол иÑĤ +полиÑĤ иÑĩеÑģк +ãĥ¡ ãĥĩãĤ£ +ãĥ¡ãĥĩãĤ£ ãĤ¢ +ĠDet ay +ĠDetay lı +ĠاÙĦصÙģ ØŃØ© +à¸ģาร à¹Ģà¸ĩิà¸Ļ +Ġìµľ ê·¼ +׼ ש׾ +ï¼ © +вÑĪ его +íķĺ ìĭ¤ +ĠÐŃ ÑĤ +ĠÐŃÑĤ оÑĤ +ส ื +สื à¸ļ +Ġng ừng +ĠдокÑĥменÑĤ ов +дав аÑĤÑĮ +ĠاÙĦشخص ÙĬØ© +Ġצ ×¢×Ļר +در Ùĥ +س ØŃب +à¹Ħมà¹Ī à¸Ħà¹Īà¸Ńย +Ġ×Ķ×ŀק ×ķ×ŀ×Ļ +สัà¹Īà¸ĩ à¸ĭืà¹īà¸Ń +Ġê·¸ê²ĥ ìĿĦ +ãģĤãĤĭ ãģĦ +ãģĤãĤĭãģĦ ãģ¯ +×IJ×ķ×ĺ ×ķ×ij +×IJ×ķ×ĺ×ķ×ij ×ķס +к ÑĨион +ĠÐľ ожно +ãģı ãģł +ãģıãģł ãģķ +ĠинÑĦоÑĢм аÑĨиÑı +ï» Ł +Ġìŀij ìĹħ +Ġ×Ļ ×ķסף +Ø¥ دارة +ĠاÙĦØŃ Ø§Ø¬ +×ł×¡ ×Ļ×¢×Ķ +из аÑĨиÑı +×IJ׾ ×ij +×IJ׾×ij ×ķ×Ŀ +п ед +Ġק×ĺ ׳×Ķ +ĠÙĨÙģس Ùĩا +ĠMinist ério +Ġп ен +Ġпен Ñģи +ãĥIJ ãĥ©ãĥ³ãĤ¹ +Ġ×Ķת ×ķר×Ķ +Ġt ạm +ĠìĹŃ ìĭľ +ï½ ¡ +Ġth á»± +Ġ ısı +ì» ¨ +ãģĹãģ£ãģĭãĤĬ ãģ¨ +Ġx Æ°a +Ġc ặp +×Ĺ ×Ļ×ij×ķר +วัà¸Ĵà¸Ļ à¸ĺรรม +st är +stär ke +ĠÑģам Ñĭй +p isa +pisa Äĩ +ĠoluÅŁ an +ĠاÙĦØ¥ ÙħاÙħ +ĠcÄĥ ng +Ġgü nl +Ġgünl ük +Ġ׳ש ×IJר +Ġkhi á»ĥn +ç¶ļ ãģijãĤĭ +stit ución +Ġcapac ité +Ġj aki +Ġjaki ÅĽ +вÑĪ иÑģ +вÑĪиÑģ ÑĮ +פע×ķ׾ ×ķת +ĠØŃ ÙĬات +ĠØŃÙĬات Ùĩ +Ġник огда +ÐĽ Ь +Ġ×Ķ×¢ ×ķ×ij +Ġ×Ķ×¢×ķ×ij ×ĵ×Ķ +Ġch Ãło +หลาย à¹Ĩ +ĠÑı н +ĠÑıн ваÑĢ +ĠÑıнваÑĢ Ñı +à¸Īำà¹Ģà¸Ľà¹ĩà¸Ļ à¸ķà¹īà¸Ńà¸ĩ +Ġhö her +ãģķãĤĮãģ¦ ãģĦãģŁ +สà¸ĩ สั +สà¸ĩสั ย +ĠاÙĦ اس +ĠاÙĦاس ÙĦاÙħ +ĠاÙĦØ´ Ùħس +สà¸ĸาà¸Ļ ี +ãĤ¯ãĥ© ãĤ¹ +à¸ŀร ร +à¸ŀรร à¸Ħ +p õ +põ e +Ġpor ém +à¸Ľà¸£à¸° สà¸ĩ +à¸Ľà¸£à¸°à¸ªà¸ĩ à¸Ħà¹Į +powied zie +powiedzie Äĩ +Ġмог Ñĥ +Ġж ел +Ġжел ез +ĠاÙĦØ« ÙĤ +ĠاÙĦØ«ÙĤ اÙģÙĬ +ĠпÑĢав ило +Ġgdy ż +פש ×ķ×ĺ +ÑĢабоÑĤ ка +ĠÙĥ رة +Ø´ دد +Ùħار Ùĥ +Ùħ ÙĥØ© +Ġпод пиÑģ +×ĺ×ķ ×ķ×Ĺ +ĠÅĽ c +ĠÅĽc ian +Ġر جاÙĦ +Ġ×ª×ľ ×ķ×Ļ +и ÑĪ +иÑĪ ÑĮ +Ġmé dec +Ġmédec in +ëįĶ ëĿ¼ëıĦ +ĠÑĤеб Ñı +Ġ׾×Ķ ×ķס×Ļ×£ +ãģĬ 話 +Ġà¹ģà¸ķà¹Ī à¸ģà¹ĩ +د اÙģ +داÙģ ع +ĠC ùng +ãĥ»ãĥ» ãĥ»ãĥ» +ê¶ ģ +Ġdeber ÃŃa +หà¸Ļà¹Īวย à¸ĩาà¸Ļ +Ġva ÌĢ +Ġעצ ×ŀ +Ġעצ×ŀ ×Ŀ +à¹Ģà¸Ĭืà¹Īà¸Ń วà¹Īา +שק ×¢ +Ġ×Ķ ׼×ķ׾ +Ġ×Ķ׼×ķ׾ ׾ +ни бÑĥд +нибÑĥд ÑĮ +ĠëĦĪ íĿ¬ +Ġоб ÑĢаÑī +ĠобÑĢаÑī а +Ġ×¢×ij×ķ×ĵ ת +ĠاÙĦÙħÙĨت خب +ıy ord +ıyord u +ÙĪ Ø° +×Ĺש ×Ļ×ij×ķת +Ġ×Ķ×¢ ×Ļק +Ġ×Ķ×¢×Ļק ר×Ļ +ì¢ Į +ยุ à¹Ĥร +ยุà¹Ĥร à¸Ľ +Ġа пÑĢ +ĠапÑĢ елÑı +sz ed +szed ÅĤ +д он +à¹Ģà¸ķิ à¸ļ +à¹Ģà¸ķิà¸ļ à¹Ĥà¸ķ +кол о +Ġkażde j +å¸ ° +帰 ãĤĬ +Ġмил ли +Ġмилли он +ç¾İåij³ ãģĹãģĦ +ت ÙĤار +تÙĤار ÙĬر +ĠìĿ´ 루 +ĠìĿ´ë£¨ ìĸ´ +Ġsprzeda ż +×Ķ ×ķצ×IJ×ķת +ãĤ¢ãĤ¯ ãĤ» +ãĤ¢ãĤ¯ãĤ» ãĤ¹ +ר ×ķ×¥ +ĠгоÑģÑĥдаÑĢÑģÑĤв енн +Ø£ ØŃÙĥ +Ø£ØŃÙĥ اÙħ +ĠoluÅŁ u +ĠA ç +ĠAç ık +ãĤ¸ ãĥ¼ +ç´ł æĻ´ +ç´łæĻ´ ãĤīãģĹãģĦ +Ġ×ijש×ij ×ķ×¢ +ب Ø° +بذ ÙĦ +สา à¹Ģหà¸ķุ +Ġpoz osta +Ġpozosta ÅĤ +ØŃر Ùħ +Ġimport ância +leÅŁtir me +Ġд ÑĢев +Ġmó vil +ĠA ynı +Ġна лог +Ġналог ов +Ġ×Ĺ ×Ļפ×Ķ +ĠÑĦоÑĢм Ñĥ +à¸Ĺà¸Ķ สà¸Ńà¸ļ +ĠksiÄħż ki +Ġma ÅĤe +Ùħس Ø£ÙĦ +ÙħسأÙĦ Ø© +ï¼¾ ï¼¾ +ç ãeste +év iter +Ġкон ÑģÑĤÑĢÑĥк +ĠконÑģÑĤÑĢÑĥк ÑĨи +ï¾ ŀ +Ġת×ķ׼ ׳ +ãĤ¹ãĥĪ ãĥ¬ãĤ¹ +ĠاÙĦاÙĤتصاد ÙĬ +×ŀ×ĵ ×Ļ +Ġw ÅĤad +ĠwÅĤad z +Ø® ÙĪÙģ +ĠмаÑĤеÑĢиал ов +ãģ¨ãģ£ãģ¦ ãĤĤ +Ġznaj du +Ġznajdu jÄħ +Ùģ ئة +ãģ©ãģ® ãĤĪãģĨãģª +æĬij ãģĪ +׳ ×Ĺ׾ +Ġdü ny +Ġdüny an +Ġdünyan ın +гÑĢ ани +гÑĢани Ñĩ +Ġ×Ķש׾ ×Ļש×Ļ +Ġ×Ķ×IJ ש +åıĬ ãģ³ +ìĭŃ ìĭľ +ìĭŃìĭľ ìĺ¤ +Ġдол л +Ġдолл аÑĢ +Ġпов ÑĤоÑĢ +Ġ×Ĺ ×Ļ׳×Ŀ +ת פת×Ĺ +Ñĥв ели +Ñĥвели Ñĩен +ãĤ« ãĥª +raw id +rawid ÅĤow +×ķ ×ķ׾ +ãĥŁ ãĥ¥ +ì½ ĺ +ĠBy ÅĤ +Ðľ ÐIJ +ع ÙIJ +ĠÑģовеÑĢ ÑĪ +ĠÑģовеÑĢÑĪ енно +Ġм ой +Ġ×ķ׾×IJ ×Ĺר +æħ £ +æħ£ ãĤĮ +ØŃ Ø§Ùģظ +Ġ무 ë£Į +à¸Ħà¸ĵะ à¸ģรรม +à¸Ħà¸ĵะà¸ģรรม à¸ģาร +Ġìĸ´ ëĶĶ +Ġdif eren +Ġdiferen ça +ĠاÙĦØ£ ساس +ĠاÙĦأساس ÙĬØ© +Ġ׾×IJ×Ĺר ×ķ׳×Ķ +ê· ł +Ġ×Ķש׳×Ļ ×Ļ×Ķ +ìľĦìĽIJ ìŀ¥ +ลุ à¸ģ +ç iler +Ġ×Ķ×IJ ׾×ķ +èģŀ ãģı +Ġ×ķ×IJ פ×Ļ׾×ķ +ĠÑĢе ализ +ĠÑĢеализ аÑĨи +ระยะ à¹Ģวลา +Ġجدا Ùĭ +تب اع +Ġveh ÃŃculo +Ġдол г +à¸Ľà¸£à¸´ มาà¸ĵ +ì¦ IJ +Ġ׾ ×ŀק×ķ×Ŀ +ĠìĤ¬ ì§Ħ +à¸Ĭ à¹īา +Ġ×ŀ×¢ ×ķ׾×Ķ +Ġgö rm +Ġgörm ek +ĠÙĪÙĩ Ø°Ùĩ +пеÑĢ в +пеÑĢв ÑĭÑħ +ê·¸ ëŀĺ +ĠاÙĦبر ÙĬØ· +ĠاÙĦبرÙĬØ· اÙĨÙĬ +ĠиÑİ Ð½Ñı +ĠÐĵ оÑĢ +Ġ׾ ש׾×Ŀ +ÐIJ ÐĿ +Ġназ наÑĩен +о оÑĢ +ооÑĢ Ñĥж +Ġöz elli +Ġözelli ÄŁi +Ġни же +ç¶ļ ãģijãģ¦ +Ġа ÑĢенд +Ġkat ılı +Ġkatılı m +ĠØ¥ Ø·ÙĦاÙĤ +ĠÙĪØ¥ ذا +Ġок ÑĤÑı +ĠокÑĤÑı бÑĢÑı +à¹Ĥà¸ķ ๠+à¹Ĥà¸ķ๠Ĭ +à¹Ĥà¸ķà¹Ĭ ะ +Ġolduk ları +Ùħ ÙĪÙĤع +ëĤ © +ãģ¨æĢĿ ãģ£ãģ¦ãģĦãĤĭ +Ġש ×Ļ׼×ķ׾ +วา à¸Ķ +س ÙĬÙĦ +à¸Ĥ วั +à¸Ĥวั à¸į +تØŃ ÙĥÙħ +ì ĤŃ +Ġconna ît +׳ פת×Ĺ +Ġch ặ +Ġchặ n +ĠÙħ ØŃÙħ +ĠÙħØŃÙħ ÙĪد +ãģ ´ +ĠпÑĢодÑĥк ÑĨии +зд ÑĢав +ãģĶ è¦ +ãģĶè¦ § +×IJ×ij ×IJ +Ġvé ritable +ĠØ· ÙģÙĦ +ãĥĪãĥ© ãĥĸãĥ« +ê³ ¡ +Ġת ×ŀ×ķ׳×Ķ +Ġki ên +ĠÙĤ ادر +Ø¥ÙĤ ÙĦÙĬÙħ +ĠпÑĢед пÑĢи +ĠпÑĢедпÑĢи ÑıÑĤиÑı +Ġb Äĥng +Ġay ında +Ġg ấp +еÑħ ал +Ġgi Ãłnh +Ġд ав +Ġдав но +ìĺĢ ëĭ¤ +à¸Ļัà¸ģ à¹Ģà¸ķ +à¸Ļัà¸ģà¹Ģà¸ķ ะ +Ùħست شار +ست راتÙĬج +ستراتÙĬج ÙĬ +رÙħ ز +Ġt Ä©nh +ë¡ Ń +ĠÑĩ еÑĤ +ĠÑĩеÑĤ Ñĭ +ĠÑĩеÑĤÑĭ ÑĢе +ĠEnt ão +Ġص غ +Ġصغ ÙĬرة +×ij×Ļ×ĺ ×ķ׾ +خط ÙĪØ· +ĠÑĢазвиÑĤ ие +Ġamacı yla +à¸Ĺี วี +Ġо ÑģÑĤ +ĠоÑģÑĤ алÑĮн +ש×ķ׾׊ף +Ġ׼ ׳×Ļס +Ġ׼׳×Ļס ×Ķ +Ġd áºŃy +ĠyaÅŁ ayan +Ġ×ŀ×Ķ ×ķ×ķ×Ķ +ĠÑĥ Ñģи +ĠÑĥÑģи ли +×ŀ פ×Ļ +ĠпÑĢовед ениÑı +Ġر ب +Ġرب Ùħا +ĠاÙĦØ£ ÙĪسط +Ġìľł ì§Ģ +Ġprac ownik +Ġpracownik ów +×ŀס ×ķרת +ÙĤار ب +à¸Ħวาม รูà¹īสึà¸ģ +à¹ģหล ะ +ĠاÙĦÙĨ ÙĤد +Ġ×IJ׾ פ×Ļ +Ùħس ئ +Ùħسئ ÙĪÙĦ +ев ÑĭÑħ +клÑİÑĩ ениÑı +×ij ×Ļ׳ +×ij×Ļ׳ ×Ļ×Ķ×Ŀ +ש ×ķ×IJ×Ķ +ĠÅŁ ark +ĠÅŁark ı +Ġsü rec +Ġsürec in +à¹Ģà¸Ħร à¸Ķ +à¹Ģà¸Ħรà¸Ķ ิà¸ķ +ãĥIJ ãĥ¬ +ĠØ´ Ø£ÙĨ +à¹Ģà¸Ńา à¹Ħวà¹ī +niÄĻ cie +רצ ×Ĺ +ĠaÅŁ ama +׳ פ×Ĵ×¢ +Ġth á»Ŀ +Ġkhu ẩn +diÄŁ inde +ÑıÑī иÑħ +ãĥĺ ãĥ« +Ġüber h +Ġüberh aupt +ĠÑĤÑĢеб ова +ĠdÅĤ ugi +×ĺ ×Ļף +à¸Ĥà¸Ļาà¸Ķ à¹ĥหà¸įà¹Ī +ĠاÙĦØ£ Ùĩ +ĠاÙĦØ£Ùĩ ÙĦÙĬ +ĠMü d +ĠMüd ürü +Ġ×Ļ×Ķ ×ķ×ĵ×Ķ +Ñĭв аеÑĤÑģÑı +س اط +×Ķת ׳×Ķ×Ĵ +×Ķ×ª×ł×Ķ×Ĵ ×ķת +à¸ģาร à¸ľà¸¥à¸´à¸ķ +íĴ Ģ +สà¸ĸาà¸Ļ à¸ģารà¸ĵà¹Į +Ġо ÑĦ +ĠоÑĦ иÑģ +ĠÙĦ عبة +Ġstron ÄĻ +Ġר×IJ ×ķ×Ļ +×Ĺ ×ij׾ +ĠÑĢÑĭ н +ĠÑĢÑĭн ке +Ġ׾×ŀ×¢ ף +اس ÙĦ +ห ัà¸Ļ +Ġ×IJ ×Ĺ×Ļ +ĠпÑĢод ол +ê°Ģ ìŀħ +Ġ×ijר ×Ĺ +Ġ×ijר×Ĺ ×ij×Ļ +дж еÑĢ +Ġ׾ ×Ĺ׾ +Ġ׾×Ĺ׾ ×ķ×ĺ +Ġ׾×Ĺ׾×ķ×ĺ ×Ļף +ศาส à¸Ļา +ãĤ¢ãĤ¤ ãĥĨ +ãĤ¢ãĤ¤ãĥĨ ãĥł +Ġפר ×ķפ +جز اء +ล à¸Ńย +Ġc iaÅĤa +Ġgi ết +ĠзнаÑĩ иÑĤелÑĮно +Ġolmad ıģ +Ġolmadıģ ını +н д +нд екÑģ +تأ Ùĥد +Ġìĸ ¸ +Ġìĸ¸ ìłľ +ay dın +ãĥī ãĥ¬ãĤ¹ +Ġs ắt +Ġíĺ¸ íħĶ +Ġë¶ ģ +Ġë¶ģ íķľ +ãĥij ãĤ¤ +Ġ×ŀש×Ĺק ×Ļ +à¸Ħà¸Ļ à¸Ńืà¹Īà¸Ļ +Ġиз гоÑĤов +ĠизгоÑĤов лен +à¹Ģà¸ģีย ร +à¹Ģà¸ģียร à¸ķิ +תק שר +ĠÑĢаÑģ ÑĩеÑĤ +ส à¹Ģà¸ķ +Ġl änger +ĠiÅŁ let +ĠiÅŁlet me +Ġع ÙĦÙĬÙĨ +ĠعÙĦÙĬÙĨ ا +é lection +ĠاÙĦغ ربÙĬØ© +íĭ Ģ +ãĤĤãĤī ãģĪ +Ġкни ги +Ø£ سÙħ +أسÙħ اء +Ġth á»ı +Ġthá»ı a +หà¸Ļ ู +Ġ×ł×¢ ש×Ķ +à¸łà¸²à¸¢ à¹ĥà¸ķà¹ī +à¸ŀื à¸Ĭ +رÙĬ Ø· +Ùģ ÙĪض +ãģĤãĤĬãģĮãģ¨ãģĨãģĶãģĸ ãģĦãģ¾ãģĹãģŁ +ש ×ĵ×Ķ +Ġng á»±c +ĠÑģеÑĢ ÑĮ +ĠÑģеÑĢÑĮ езн +T ôi +Ġfiyat ları +ĠвÑģ Ñİ +ĠC ódigo +Ġ×Ķש ×IJ +Ġ×Ķש×IJ ׾×Ķ +ĠP ública +Ø¥ Ø® +إخ ÙĪاÙĨ +ĠзаÑıв ил +ãĥ¦ ãĥ¼ +ר×IJ ×Ļת +vol ución +Ġsz ko +Ġszko ÅĤy +جرÙĬ دة +Ġpens é +ìī ¬ +ĠBüyük ÅŁehir +ĠØ£Ùħ رÙĬ +ĠØ£ÙħرÙĬ ÙĥÙĬ +à¸Ļัà¸ģ ศึà¸ģษา +Ġtod av +Ġtodav ÃŃa +ĠС ан +ĠСан кÑĤ +íķĺ ìŀIJ +ØŃÙĪ اÙĦ +׼ ×ķשר +à¹Ģลย à¸Ħรัà¸ļ +Ġal gu +Ġalgu ém +Ùģ ز +Ġçek il +Ġ×ĵ ר׼×Ļ×Ŀ +ãĥIJ ãĥ© +à¸ģà¹ĩ สามารà¸ĸ +สà¹Īวà¸Ļ ลà¸Ķ +íı ° +ĠP úb +ĠPúb lico +à¹ģà¸Ļว à¸Ĺาà¸ĩ +×IJת ×Ĵר +Ø´ اش +شاش Ø© +ci ÅĽni +ĠÃľ rün +ÙĦÙĪ ØŃ +ĠاÙĦ بÙĨ +ĠاÙĦبÙĨ Ùĥ +ì¡° ì¹ĺ +Ġorganiz ación +ãģĤãĤĬãģĮãģ¨ãģĨãģĶãģĸ ãģĦãģ¾ãģĻ +s ätze +ĠÑģем ей +ÙĤ صد +ÑģÑĤв еннÑĭе +Ġpréc éd +Ġprécéd ent +à¸ģรุà¸ĩà¹Ģà¸Ĺà¸ŀ ฯ +ãģ¨è¨Ģ ãģĦ +×ij׳×Ļ ×Ļף +ĠØŃ ÙĪ +ĠØŃÙĪ اÙĦÙĬ +סק ס +ĠsaÄŁlam ak +Ġ׾ צ×Ļ×Ļף +ק×ĵ ש +Ġ×Ķ×ŀ ×¢×¨×Ľ×ª +Ġ׾×Ķ ×¢×ij×Ļר +Ġg ünd +Ġgünd em +ĠнаÑĪ его +à¹ĥà¸Ļ à¸ŀืà¹īà¸Ļà¸Ĺีà¹Ī +à¹Ģà¸Ħร ืà¸Ń +à¹Ģà¸Ħรืà¸Ń à¸Ĥ +à¹Ģà¸Ħรืà¸Ńà¸Ĥ à¹Īาย +ظ اÙĩرة +ÙħÙĨ ظÙħ +ÙħÙĨظÙħ ات +Ùħت از +追 ãģĦ +dı kt +dıkt an +ĠëįĶ ìļ± +ĠÐĿ апÑĢимеÑĢ +tw ór +×ŀ×ķ×¢ צ×Ķ +Ùĥ ÙĪÙĥ +Ð © +×ŀ×ĺ פ׾ +ó lica +訪 ãĤĮ +ĠëĮĢ ë¶Ģ +ĠëĮĢë¶Ģ ë¶Ħ +ãĤ¯ãĥª ãĥĥãĤ¯ +ãĤĴ éģ¸ +ãĤĴéģ¸ ãģ¶ +Ġpow sta +Ġpowsta ÅĤ +Ġraz ón +×ij ×ķ×Ĺר +ĠÑģообÑī ил +Ġק ×ij×ķ×¢ +r êt +à¸Ķี à¸Ĥึà¹īà¸Ļ +×ŀס ×¢×ĵ +×ŀסע×ĵ ×ķת +ĠÃĸ sterreich +Ġ׳ ×Ĺש×ij +Ùħباد رة +ì´ ī +×Ĵ ׳×ĺ×Ļ +ä¿¡ ãģĺ +du ÄŁ +duÄŁ unu +Ġph ú +ĠاÙĦØ£ Ø®ÙĬر +Ġت عتبر +landır ıl +ãģ¨ãģ¯ ãģĦ +ãģ¨ãģ¯ãģĦ ãģĪ +ĠاÙĦ Ø·ÙĦ +ĠاÙĦØ·ÙĦ اب +ĠN º +éģ¿ ãģij +اÙĦ Ùħع +اÙĦÙħع رÙĪÙģ +ส à¸łà¸² +éĽ¢ ãĤĮ +ĠпомоÑī ÑĮ +Ġзна еÑĤ +ãĥĹãĥ¬ ãĤ¼ +ãĥĹãĥ¬ãĤ¼ ãĥ³ãĥĪ +Ġsup érieur +Ġש׾ ×Ļש×Ļ +ĠاÙĦÙĨ ÙĪع +ãĤĵãģ§ãģĻ ãģŃ +à¸Ńà¸ļ รม +Ġgi á»įng +Ġwzgl ÄĻd +ĠاÙĦÙģ ÙĤر +è rent +Ġ×ŀ×IJ ×Ĺ +Ġ×ŀ×IJ×Ĺ ×ķר×Ļ +×Ĵ ×Ĵ +×Ļ ×Ļ×ij +ÙħÙĦ اب +ÙħÙĦاب س +Ġhük ü +Ġhükü met +Ġ×ŀ×Ĵ ×Ļ×ij +ĠÐŀ Ñĩ +ĠÐŀÑĩ енÑĮ +æĹ© ãģĦ +Ġconstr ucción +Ġth ượng +ï¼ ĭ +Ġcor ação +à¹Ģหล à¹ĩà¸ģ +ĠBaÅŁ b +ĠBaÅŁb akan +éĢ£ ãĤĮ +ãģĻãĤĭ ãģĵãģ¨ãģĮãģ§ãģįãģ¾ãģĻ +ĠÙĤ اÙħت +Ġا Ùĥثر +Ùģاع ÙĦ +ĠÑĦ оÑĢ +ĠÑĦоÑĢ Ñĥм +غ Ø°ÙĬ +ĠiÅŁ le +ĠiÅŁle ml +ĠiÅŁleml eri +ĠìĤ¬ëŀĮ ìĿĢ +Ġìŀij ìĦ± +Ġë§Ī 볨 +Ùħ جÙĦس +หม ู +д в +дв иг +двиг а +à¹Ģสีย à¸Ĭีวิà¸ķ +×Ķת פת×Ĺ +×Ķתפת×Ĺ ×ķת +ĠмеÑĤ ÑĢо +ĠÑģ енÑĤ +ĠÑģенÑĤ Ñı +ĠÑģенÑĤÑı бÑĢÑı +ê³ § +Ġ׾ פע +Ġ×ľ×¤×¢ ×ŀ×Ļ×Ŀ +à¹Ģà¸ļ ีย +詳 ãģĹãģı +çķ° ãģªãĤĭ +ĠÄ°l çe +ĠAt at +ĠAtat ür +ĠAtatür k +รุ à¹Īà¸ĩ +Ġkald ı +Ġ주 ìŀ¥ +Ġprés ence +Ġн аб +Ġнаб лÑİ +ĠнаблÑİ Ð´Ð° +ĠÑģам ого +×Ĵ ×ķש +×ŀ×ĺ ×ķפ +×ŀ×ĺ×ķפ ׾ +ĠвÑĭб иÑĢа +ĠìŀIJ 리 +åĪĨ ãģĭãĤīãģªãģĦ +Ġз Ñĥб +Ġש׼ ×ijר +Ġد ائ +Ġدائ Ùħا +ĠпаÑĢ ÑĤи +ï¼ ² +ĠاÙĬ ضا +ĠÑħ оз +ĠÑħоз Ñı +ĠÑħозÑı й +ĠÑħозÑıй ÑģÑĤв +ĠاÙĦØ£ ج +ĠاÙĦأج ÙĨب +ĠاÙĦأجÙĨب ÙĬØ© +ĠÐĹ Ð½Ð° +ĠAp ós +ĠÑį неÑĢ +ĠÑįнеÑĢ ги +Ġy ans +Ġyans ı +ĠJust i +ĠJusti ça +Ġpré vu +ม วล +ìŀ¥ ëĭĺ +à¸ģระ à¸ļ +à¸ģระà¸ļ วà¸Ļ +à¸ģระà¸ļวà¸Ļ à¸ģาร +×ŀ ×ŀ +×ŀ×ŀ ×ķצע +Ġh ẹ +Ġhẹ n +зд ание +Ġak ÅŁ +ĠakÅŁ am +×ĺ ×ķפ +Ġgere kt +Ġgerekt i +Ġgerekti ÄŁini +Ġnar z +Ġnarz ÄĻdzi +é po +épo que +ĠTh ần +Ġwys oko +Ġwysoko ÅĽci +à¸ľà¸¹à¹ī à¸Ľ +à¸ľà¸¹à¹īà¸Ľ à¹Īวย +ĠÙĬ بدÙĪ +ÑĤелÑĮ ного +Ġвз глÑıд +Ġjed nÄħ +ĠìĿĺ 견 +Ġ à¸Ĥà¸ĵะà¸Ĺีà¹Ī +פ ×Ļ×ĵ +ìĥģ ëĭ´ +Ġm ỡ +×Ķ ×ŀ׾ +×Ķ×ŀ׾ צ×ķת +ĠÑģоÑģÑĤ о +ĠÑģоÑģÑĤо иÑĤ +Ġав и +Ġави а +ĠL änder +تص ÙĪÙĬر +×ŀ×ĵ ×Ļ×Ķ +ìłĪ ì°¨ +ãģ¨ ãĤĬ +ãģ¨ãĤĬ ãģĤ +ãģ¨ãĤĬãģĤ ãģĪ +ãģ¨ãĤĬãģĤãģĪ ãģļ +ĠÑĢ Ñıд +ĠÑĢÑıд ом +ĠNh ất +ĠاÙĦÙĥ اÙħÙĦ +×Ĺ׾ ׾ +ĠGi ấy +צ ×ĺר +צ×ĺר ×£ +Ġ׾×ij ×ĺ׾ +Ġим еÑĤÑĮ +ס×ŀ ×ķ×ļ +Ġparticip ação +íķľëĭ¤ ë©´ +ÙħÙĨت دÙĬ +ÙħÙĨتدÙĬ ات +ĠeÄŁ len +g änge +رب ØŃ +ãĤ® ãĥ£ +ĠاÙĦر ÙĤÙħ +à¸ĭ à¹īำ +ĠH óa +×ŀר ×Ĺק +ØŃÙħ اÙħ +بÙĪ Ùĥ +ĠArt ÃŃculo +ãĥĦ ãĤ¢ãĥ¼ +×Ķפ ׼×Ķ +×Ĺ׾ ×ķף +ĠпеÑĢе Ñħод +len miÅŁ +زر اعة +Ġseñ or +ãģ£ãģ¦ ãģįãģ¦ +Ø¥ Ø´ +إش ارة +Ġpod ÃŃa +ĠÃľ lke +н ÑģкаÑı +Ġadapt é +Ġdüzen len +Ġdüzenlen en +ĠÑģÑĤ ала +ĠÙĬ ØŃتاج +Ġn ier +Ġnier uch +Ġnieruch omo +Ġnieruchomo ÅĽci +ãģĵãģ¨ãģĮ ãģĤãĤĭ +ยà¸Ńà¸Ķ à¹Ģยีà¹Īยม +ĠÙħ ج +ĠÙħج اÙĨÙĬ +Ġз аб +Ġзаб ол +Ġзабол ев +Ġзаболев аниÑı +ĠÅĽ ro +ĠÅĽro dk +ĠÅĽrodk ów +Ġ×Ķ ׾×IJ×ķ×ŀ×Ļ +Ġdok ÅĤad +ĠdokÅĤad nie +ãģŁãģı ãģªãģĦ +ãģ¯ãģļ ãģ§ãģĻ +ãģ¨æĢĿ ãģ£ãģ¦ãģĦãģŁ +é cran +ìĹħ ì²´ +trzym aÅĤ +ÑģÑĤв еннÑĭй +ĠNot ÃŃc +ĠNotÃŃc ias +Ùħ رÙĬ +ÙħرÙĬ ض +æ°Ĺ è» +æ°Ĺè» ½ +æ°Ĺ軽 ãģ« +ëĵ £ +Ġ×ĵ ×ķ×IJר +Ġ׾ ×ŀ׳ +Ġ׾×ŀ׳ ×ķ×¢ +ĠçalÄ±ÅŁ ıyor +ĠÅŁ idd +ĠÅŁidd et +ĠM ặt +Ġate ÅŁ +ĠполÑĥÑĩ ениÑı +à¹Ģà¸Ħรืà¹Īà¸Ńà¸ĩ มืà¸Ń +Ġgrö ÃŁer +د ائ +دائ رة +Ġbul un +Ġbulun maktadır +à¹Ģห ร +à¹Ģหร ีย +à¹Ģหรีย à¸į +à¸Ļัà¸ģ à¸Ĺà¹Īà¸Ńà¸ĩà¹Ģà¸Ĺีà¹Īยว +Ġalan ında +ĠÑĥ зна +Ġл еÑĩение +売 ãĤĮ +Ġçev ir +Ġdeste ÄŁi +ĠheiÃŁ t +âĸ ² +ØŃ Ø· +à¸Ħำ à¸ķà¸Ńà¸ļ +ãĤªãĥ³ ãĥ©ãĤ¤ãĥ³ +Ġ×ij×Ĺ×Ļ ×Ļ×Ŀ +ãĥ¦ ãĥĭ +Ġdüzenle me +Ġmodal itÃł +سر Ø· +سرط اÙĨ +×ŀ׼ ×ķף +ĠданнÑĭ й +تر ت +ترت ÙĬب +à¸ļาà¸ĩ à¸Ħà¸Ļ +ĠÄIJ á»ĭnh +ม ูล +มูล à¸Ħà¹Īา +ÙĨ ÙĤص +à¸ģาร รัà¸ģษา +ĠÑĦ он +ĠÑĦон д +ãĤĪãģĨ ãģ«ãģªãģ£ãģŁ +Ùħع اÙĦ +ÙħعاÙĦ جة +ĠOs man +ĠOsman lı +иÑĩеÑģк ом +à¸Ńยาà¸ģ à¸Īะ +ãģķãģ¾ ãģĸ +ãģķãģ¾ãģĸ ãģ¾ +ãģķãģ¾ãģĸãģ¾ ãģª +Ġת ×ķ׼׾ +×¢ צ×ij +ĠاÙĦع سÙĥ +ĠاÙĦعسÙĥ رÙĬ +Ġvé hic +Ġvéhic ule +Ġ×Ļצ ×Ĺק +ĠاÙĦÙĪ ØŃ +ĠاÙĦÙĪØŃ ÙĬد +ĠاÙĦع دÙĪ +ĠQu ản +Ġê³µ ëıĻ +بد ÙĦ +ĠÄij ảng +Ġm á»ĩnh +Ġnie zb +Ġniezb ÄĻ +ĠniezbÄĻ dn +Ġyayın lan +обÑī и +Ġgö tür +צ פ +צפ ×ķ×Ļ +ĠÙĦÙĬ بÙĬ +ĠÙĦÙĬبÙĬ ا +ØŃ ÙĪا +Ġд об +Ġдоб ÑĢо +иÑĢÑĥ ем +ĠاÙĦØŃÙĥÙĪÙħ ÙĬØ© +m Ã¤ÃŁig +Ġed ición +влек аÑĤелÑĮ +влекаÑĤелÑĮ н +Ġת ש׾×ķ×Ŀ +Ġ×Ķש ×ķ׳×Ļ×Ŀ +มิ à¸ĸุ +มิà¸ĸุ à¸Ļ +มิà¸ĸุà¸Ļ ายà¸Ļ +é£Łãģ¹ ãģ¦ +ĠìĪĺ ì§ij +ס ×ij×Ļ +ĠиÑİ Ð»Ñı +Ġà¹Ħà¸Ķà¹ī à¹ģà¸ģà¹Ī +׾×Ĺ ×Ŀ +tr ä +trä gt +ãģĿãĤĤ ãģĿãĤĤ +ÐĿ Ðķ +Ġв нÑĥÑĤ +ĠвнÑĥÑĤ ÑĢи +ãģ¨ ä¸Ģç·Ĵãģ« +ãĤ« ãĥķãĤ§ +Ġ×ij×Ĺ ×ĵר +×Ĺ ×ŀש +ãĤ¨ ãĥį +ãĤ¨ãĥį ãĥ« +ãĤ¨ãĥįãĥ« ãĤ® +ãĤ¨ãĥįãĥ«ãĤ® ãĥ¼ +à¸Ĥà¸Ńà¸ĩ à¸ķัวà¹Ģà¸Ńà¸ĩ +بÙĤ اء +פס ×Ļ׼ +פס×Ļ׼ ×ķ׾×ķ×Ĵ +ãĥ¡ ãĥĥ +ãĥ¡ãĥĥ ãĤ» +ãĥ¡ãĥĥãĤ» ãĥ¼ãĤ¸ +ÙĦ ÙĤب +A Äŀ +שק ×Ļ×¢ +ÙĤ ساÙħ +×ĵ×ķ×Ĵ ×ŀ×Ķ +æ·± ãģĦ +íĸĪ ëĬĶëį° +ĠrozwiÄħz anie +à¸Ļัà¹Īà¸Ļ à¹Ģà¸Ńà¸ĩ +×Ļצ ×ij +Ġtr ông +à¹ĥà¸Ĭà¹ī à¸ļริà¸ģาร +ĠاÙĦÙħÙĪ سÙħ +ĠдеÑĤ и +ãģĹãģĭ ãģªãģĦ +ס ×Ļף +Ġréfé rence +à¹ģห à¹īà¸ĩ +ãĤĤãĤī ãģ£ãģŁ +Ġ׾ ר׼ +Ġ׾ר׼ ×ķש +شع ÙĪر +ĠÐij ог +Ġlaz ım +Ġ×Ļש ׳×Ŀ +Ġп аÑĢÑĤ +ĠпаÑĢÑĤ неÑĢ +ĠÑĥ ника +ĠÑĥника лÑĮн +Ġmaté riel +×ŀר ק +Ġph Æ°á»Ŀng +Ġз ай +Ġзай м +Ùģ ÙĤد +Univers itÃł +×¢ ר׼×Ļ×Ŀ +Ġba ño +Ġн оÑı +ĠноÑı бÑĢÑı +à¸Ľ à¹īาย +Ġt ats +Ġtats äch +Ġtatsäch lich +ĠÑĤÑĢ еÑĤÑĮ +Ñį м +ãĥĻ ãĥ¼ãĤ¹ +Ġnh á»±a +ìĬ¤ íģ¬ +ĠعبداÙĦ ÙĦÙĩ +Ġת ×ķר×Ķ +أش ÙĬ +أشÙĬ اء +ĠÙĦÙĦ غا +ĠÙĦÙĦغا ÙĬØ© +Ùħ ÙĪاÙĤ +ÙħÙĪاÙĤ Ùģ +ĠgÅĤówn a +Ġart Ä±ÅŁ +Ġ×ŀק ×ķ×ŀ×Ļ +ãĤ¯ãĥ© ãĥĸ +Ġس ÙĪÙī +ĠìŬ ìĦ± +اس ر +اسر ائÙĬÙĦ +Ġ׳ ×Ľ×ª×ij +ย à¹īà¸Ńà¸Ļ +Ġdeber á +Ġph ẫu +ÑİÑī ем +ĠÙĦدÙĬ ÙĨا +×ŀ×ĺ ×Ķ +Ġ׳ ×ķ׾×ĵ +ĠвÑģÑĤÑĢ еÑĩа +ãĤīãĤĮ ãģ¦ãģĦãģ¾ãģĻ +ĠcaÅĤ ej +ย ึ +ยึ à¸Ķ +поÑĤ ен +поÑĤен ÑĨи +Ġл иÑĤ +ĠлиÑĤ еÑĢ +ĠлиÑĤеÑĢ аÑĤÑĥÑĢ +Ġкажд ом +ĠíĮ IJ +ĠíĮIJ ëĭ¨ +à¸Ī ู +Ġpres ença +ãģªãĤĵ ãģ§ +Ùħ ÙĬاÙĩ +ин ÑĦоÑĢм +инÑĦоÑĢм аÑĨион +инÑĦоÑĢмаÑĨион н +ĠìŀIJ ìĹ° +ר׼ ש +Ġöd ül +ç¶ļ ãģı +Ġп Ñģ +ĠпÑģ иÑħ +ĠпÑģиÑħ олог +ت Ø°Ùĥر +Ġìŀħ ìŀ¥ +ล à¸Ķà¹Į +ìĦł ê±° +ãģ£ãģ¦ ãģĬãĤĬãģ¾ãģĻ +Ġ×Ļ ×¢ +Ġ×Ļ×¢ ק×ij +ĠاÙĦØ· عاÙħ +ãĥĨ ãĤ¹ãĥĪ +ĠTu ấn +Ġparticip ación +×ŀ×ķ×ŀ ×Ĺ×Ķ +×Ĵר ס×Ķ +ĠاÙĦتÙĨ ÙģÙĬ +ĠاÙĦتÙĨÙģÙĬ Ø°ÙĬ +ĠбезопаÑģ н +ge f +gef ähr +Ø´ ÙĪر +Ġmy ÅĽli +ÙĪا Ø´ÙĨ +ÙĪاشÙĨ Ø·ÙĨ +׳×ķס ×¢ +Ùĥ Ùĩ +ÙĥÙĩ رب +ÙĥÙĩرب اء +Ġmus iaÅĤ +ìĭ ¸ +ãĥĸãĥ© ãĥĥãĤ¯ +Ġcré é +ÙĨÙĩ ار +owo ÅĽÄĩ +ÙħØŃا ÙĥÙħ +ĠwÅĤa ÅĽ +ĠwÅĤaÅĽ c +ĠwÅĤaÅĽc iciel +ĠÙĬ ؤ +ĠÙĬؤ دÙĬ +×ŀ×¢ ×ķ׳ +×IJ ×ij׾ +خط Ø£ +ĠÑħ олод +×ĸ ×ķ׾ +ãģĵãĤĮ ãĤī +ãģĵãĤĮãĤī ãģ® +Ġbás ica +ฤ à¸Ķ +ฤà¸Ķ ูà¸ģ +ฤà¸Ķูà¸ģ า +ฤà¸Ķูà¸ģา ล +èIJ½ãģ¡ çĿĢ +ãģªãģĦ ãģĵãģ¨ +ص ÙĪÙħ +ÙĨج ØŃ +׳ק ×ķ×ĵ +׳ק×ķ×ĵ ת +кл аÑģÑģ +íķĺìĭľ ëĬĶ +ëĦ ĺ +Ġש×IJ ×Ļ׳×ķ +ĠС ейÑĩаÑģ +may acaģı +Ġyap ılır +Ġcategor ÃŃa +عب اد +ĠТ еп +ĠТеп еÑĢÑĮ +×Ķ×Ļס×ĺ ×ķר×Ļ +h ế +ãĤ³ ãĥ¼ãĥī +Ġcabe ça +ج Ùħا +جÙħا Ùĩ +جÙħاÙĩ ÙĬر +ä½İ ãģĦ +ĠÑĤоваÑĢ ов +à¸Ĭาว à¸ļà¹īาà¸Ļ +ĠÑģÑĤан ов +ĠÑģÑĤанов иÑĤÑģÑı +ĠавÑĤом обилÑĮ +ĠÑģлÑĥÑĩ ай +à¸Ńั à¸ŀ +ĠG iriÅŁ +ĠìĿ¼ ëĭ¨ +ĠпÑĢ оÑģ +ĠпÑĢоÑģ моÑĤÑĢ +ãģªãģıãģª ãģ£ãģŁ +มี à¸Ľà¸±à¸įหา +ïº İ +éc oute +ĠÙħ ÙĪجÙĪد +Ġس رÙĬع +ĠÙĪÙĩ ÙĨا +ĠÙĪÙĩÙĨا Ùĥ +à¸Ħุà¸ĵ สม +à¸Ħุà¸ĵสม à¸ļัà¸ķิ +Ġìļ° ìĦł +à¸ŀระ à¸ŀุà¸Ĺà¸ĺ +好 ãģ¿ +ظ ÙĦÙħ +Ġм акÑģ +ĠмакÑģ ималÑĮ +ĠмакÑģималÑĮ но +ãĥª ãĤ¢ãĥ« +à¹ģมà¹ī วà¹Īา +ĠاÙĦØŃ ÙĪار +ãĥĹãĥ© ãĤ¹ +Ġع ÙĦاÙĤØ© +Ġíĸī ëıĻ +Ġgönder il +Ġl ãi +ĠsaÄŁ lıkl +ĠsaÄŁlıkl ı +ĠÑĪ аг +Ġ×ij×IJר ×Ķ +prowadzi Äĩ +ãģĦãģı ãģ¤ãģĭ +Ġبت ارÙĬØ® +Ġ×ij×IJ×ķת ×Ķ +Ġmó c +ĠÐľ не +ãĥĹãĥ¬ ãĥ¼ +×IJ ×ĸר×Ĺ +åł´åIJĪ ãģ«ãģ¯ +使 ãģĪ +à¹Ģร ืà¸Ńà¸Ļ +ĠÐŁ еÑĤ +ĠÐŁÐµÑĤ ÑĢ +ãģ«åħ¥ ãĤĭ +Ùħ ادة +à¹Ģà¸ĩ ืà¹Īà¸Ńà¸Ļ +à¹Ģà¸ĩืà¹Īà¸Ńà¸Ļ à¹Ħà¸Ĥ +ĠÑģоÑģÑĤоÑı ние +ôn ica +ĠÑĦ ев +ĠÑĦев ÑĢа +ĠÑĦевÑĢа лÑı +Ġ×ķ ×ĸ +Ġ×ķ×ĸ ×IJת +à¸Ħร ิ +à¸Ħริ ส +ĠÐķ Ñīе +ãģ£ãģ¦ãģĹãģ¾ ãģĦãģ¾ãģĹãģŁ +ĠпÑĢав иÑĤелÑĮ +ĠпÑĢавиÑĤелÑĮ ÑģÑĤв +Ġtä glich +Ġëĭ¹ ìĭľ +×ŀ×ķ×¢ ×ŀ×ĵ +Ġдв оÑĢ +æī ķ +æīķ ãģĦ +ĠÑģÑĤан еÑĤ +Ġвозд ейÑģÑĤв +ĠвоздейÑģÑĤв и +Ġf ête +à¹Ģส า +תק ×ķ×ķ×Ķ +Ġu yar +Ġuyar ı +à¸ģลัà¸ļ à¹Ħà¸Ľ +Ġgi Æ°á»Ŀng +Ġв а +Ġва ÑĪи +ĠÄij áºŃu +ĠSpa ÃŁ +ĠìķĦ ë§Ī +à¹Ħà¸Ķà¹ī à¸ĩà¹Īาย +Ġ×Ķ×ŀ ×ijקש +æĸ° ãģŁ +æĸ°ãģŁ ãģª +ılı yor +пл ан +Ġ×Ķ×ijר ×Ļ×IJ×ķת +ĠaÄŁ rı +Ġsay gı +建 ãģ¦ +Ġnaj wyż +Ġnajwyż sz +سÙĬاس ات +ãģĬ å¾Ĺ +ĠاÙĦع ÙĦÙĬ +ĠاÙĦعÙĦÙĬ ا +Ġcoraz ón +ì¹ĺ ë£Į +หัว à¸Ĥà¹īà¸Ń +Ġب ØŃÙĬ +ĠبØŃÙĬ Ø« +зв езд +بÙĪ ابة +ÐĽ Ðĺ +ÙĦا زÙħ +Ġroz p +Ġrozp oc +Ġrozpoc zÄĻ +触 ãĤĮ +ĠاÙĦج ÙħÙĩ +ĠاÙĦجÙħÙĩ ÙĪر +Ġsp ÄĻd +ĠspÄĻd z +วิà¸Ĺยา ศาสà¸ķรà¹Į +ив аеÑĤÑģÑı +Ġдан ной +Ġreprés ente +ĠÄij á»ĭch +Ġ×¢×ŀ ×ķק +à¸Ńัà¸Ļ à¸ķร +à¸Ńัà¸Ļà¸ķร าย +Ġestr atég +Ġestratég ia +pad ÅĤ +Ġв полн +Ġвполн е +ĠпÑĢедоÑģÑĤав лен +×Ĺ׾ ×ķק +×Ĺ׾×ķק ת +ãĤ¢ ãĥĬ +ĠاÙĦغ Ø° +ĠاÙĦغذ ائÙĬ +ĠÑĥ зн +ĠÑĥзн аÑĤÑĮ +à¸ĭ à¹īาย +å½ĵ ãģ¦ +ØŃÙĬ اء +Ġbás ico +ק×ķ×ij ×¢ +ĠاÙĦÙħ باراة +ĠاÙĦÙĩ اتÙģ +Ġ׼ ׳×Ĵ×ĵ +à¸Ľà¸£à¸° หย +à¸Ľà¸£à¸°à¸«à¸¢ ัà¸Ķ +Ðļ ак +à¸Ĺีà¹Ī à¸Ļà¹Īา +à¸Ĺีà¹Īà¸Ļà¹Īา สà¸Ļà¹ĥà¸Ī +ãģ¾ ãģģ +ï½ ¢ +Ñģк оп +Ġson rasında +Ġur zÄħd +ĠurzÄħd zenia +׼×ķ ×ķ׳ +׼×ķ×ķ׳ ת +Ġ׾×Ķת ×ŀ×ķ×ĵ +Ġ׾×Ķת×ŀ×ķ×ĵ ×ĵ +ĠÑģ ли +ĠÑģли ÑĪ +ĠÑģлиÑĪ ком +ĠÑģÑĤ Ñĥд +ĠÑģÑĤÑĥд енÑĤ +Ġ×Ķ ×ķ×ĵ +Ġ×Ķ×ķ×ĵ ×¢×Ķ +ë¹Ħ ìļ© +à¸Ńยาà¸ģ à¹ĥหà¹ī +Ġb á»ģ +ยุ à¸Ĺà¸ĺ +Ðĺ ÐĿ +س ائر +Ø£ صÙĪÙĦ +ĠاÙĦغ رÙģ +ãģĵãģ¨ãĤĤ ãģĤãĤĬãģ¾ãģĻ +è¾¼ ãģ¾ãĤĮ +ĠاÙĦساب ع +Ġc ủ +ãģĦãģŁãģł ãģĦãģŁ +ì§ ĵ +ìĤ¬ 무 +powied ź +تÙģ Ùĥ +تÙģÙĥ ÙĬر +иÑĢов ки +ĠíĨµ íķ´ìĦľ +ãĤ¨ ãĤ¹ãĥĨ +ĠдеÑıÑĤелÑĮ ноÑģÑĤÑĮ +ĠданнÑĭ м +Ġ×¢ ×ķר +Ġ×¢×ķר ׼×Ļ +×ķ×ĵ עת +Ġhayat ını +Ġb Äħd +ĠbÄħd ź +obs ÅĤug +à¹Ģà¸ŀียà¸ĩ à¹ģà¸Ħà¹Ī +à¸ĭ à¹Īา +è²ł ãģij +ĠÑģÑĤÑĢ ем +ĠÄij á»īnh +ĠÐł ÑĥÑģ +ĠN ữ +Ġ׾×Ķש ×Ļ×Ĵ +Ġjed noc +Ġjednoc ze +Ġjednocze ÅĽnie +Ġ×Ķ×Ĵ ×ij×ķ×Ķ +أخ ÙĦاÙĤ +ĠнаÑģ ел +ĠнаÑģел ениÑı +ĠÙĬ ÙĨب +ĠÙĬÙĨب غÙĬ +ãģĮ ãģĭ +ãģĮãģĭ ãģĭ +×Ĵ עת +Ðŀ Ðł +ĠналиÑĩ ии +Ġë§Ī ì§Ģ +Ġë§Īì§Ģ ë§ī +Ġíĸī ìĤ¬ +Ġtre ÅĽci +Ġê°Ģ ì¹ĺ +ì¦ ĺ +Ġана лог +×Ķצע ת +в лад +влад е +ĠÑģдел ал +Ġ׳ ×Ĵ×Ļש +Ġ׳×Ĵ×Ļש ×ķת +полн ение +à¸Ĩ à¹Īา +ĠD ön +׼׾׼ ׾×Ķ +×ŀ×ĸ ×Ĵ +Ùħ Ùģ +ÙħÙģ Ùĩ +ÙħÙģÙĩ ÙĪÙħ +×Ķ ×ĵ +×Ķ×ĵ פס +×Ķ×ĵפס ×Ķ +ãģĻãģİ ãģ¦ +Ġг ÑĢ +ĠгÑĢ н +×ŀ×ĺ ×ķס +Ġ기 ìĸµ +ï¾ Ł +ĠpÅĤ yn +ĠGr ünde +ĠBü cher +Ġwed ÅĤug +ãģ¾ãģł ãģ¾ãģł +Ġ׳×Ķ ×ĵר +ĠÙĬست Ø·ÙĬع +ĠHi á»ĩp +ãĤŃãĥ£ãĥ³ ãĥļ +ãĤŃãĥ£ãĥ³ãĥļ ãĥ¼ãĥ³ +Ġth á»ķ +Ġeuropé enne +à¸ļ ัà¸ĩ +à¸ļัà¸ĩ à¸Ħัà¸ļ +ĠszczegóÅĤ owo +׳ שק +ãĥķ ãĥ©ãĥ³ãĤ¹ +×ŀ×ķ×ŀ ×Ĺ×Ļ +Ġcom ún +Ġç arp +ØŃت ÙĬا +ØŃتÙĬا ج +ØŃتÙĬاج ات +ëĭ´ ëĭ¹ +ä½ķ 度 +ä½ķ度 ãĤĤ +×ĵ ×ijק +ãģį ãĤĮ +ãģįãĤĮ ãģĦ +Ġк ам +Ġкам еÑĢ +ĠespecÃŃf ico +Ġtel éfono +à¸ķัà¹īà¸ĩ à¸Ńยูà¹Ī +I Åŀ +ãģ© ãĤĵãģ© +ãģ©ãĤĵãģ© ãĤĵ +עצ ×ŀ×IJ×Ļ +à¸Ķัà¸ĩ à¸Ļีà¹ī +ĠÑĦоÑĢм иÑĢов +ĠÑĦоÑĢмиÑĢов а +×ķ×ŀ ×ij +Ġkullan ımı +Ðľ Ðŀ +×¢ ש×Ļ +עש×Ļ ×Ļ×Ķ +Ġön lem +à¹Ģà¸Ń à¹ĩ +à¹Ģà¸Ńà¹ĩ ม +×ŀשק ×Ļ×¢ +ר ×Ļ×Ĺ +à¸Ĥ ัà¸Ķ +ĠíĻ ľ +ĠíĻľ ìļ© +à¸ĭ ะ +ãĤĪãģĨ ãģ«ãģªãĤĬãģ¾ãģĹãģŁ +ĠÑĢаÑģ пÑĢ +ĠÑĢаÑģпÑĢ оÑģÑĤ +ĠÑĢаÑģпÑĢоÑģÑĤ ÑĢан +ĠÑĢаÑģпÑĢоÑģÑĤÑĢан ен +׼×Ļ ×ķף +ÙĤب ض +تص رÙĬØŃ +تصرÙĬØŃ Ø§Øª +Ġо ÑĢи +ĠоÑĢи г +ĠоÑĢиг ина +ĠоÑĢигина л +ĠاÙĦع اÙĦÙĬ +à¹ģหà¹Īà¸ĩ à¸Ļีà¹ī +ãĥķãĤ¡ ãĥ¼ +ãģ¦ãģĦ ãģį +ãģ¦ãģĦãģį ãģŁãģĦ +פ תר +פתר ×ķ׳×ķת +Ġ×ij ×Ļ×Ĺ +Ġ×ij×Ļ×Ĺ ×ĵ +Ġod by +Ġodby ÅĤ +ĠоÑĩеÑĢ ед +Ġtr Æ°Æ¡ng +ãĤŃ ãĥ³ +×ŀ ×ķפ +×ŀ×ķפ ×¢ +ëĵľ 립 +ëĵľë¦½ ëĭĪëĭ¤ +à¸ŀืà¹īà¸Ļ à¸IJาà¸Ļ +ìŀIJ 격 +ĠVi á»ĩn +ĠDes pués +Ġ×IJ׾ ×Ļ׳×ķ +Ġdur ée +íĩ ´ +Ġmü zik +i ếu +ĠÑĢаз меÑīен +Ġк Ñĥд +ĠкÑĥд а +غ ض +غض ب +ĠTamb ém +à¸Īัà¸Ķ สà¹Īà¸ĩ +à¸ģาร à¹ģสà¸Ķà¸ĩ +onom ÃŃa +Ġан г +Ġанг ли +Ġангли й +Ġанглий Ñģк +Ġzn al +Ġznal az +Ġznalaz ÅĤ +תר ×Ĵ +תר×Ĵ ×ķ×Ŀ +ĠÑģ нов +ĠÑģнов а +ĠÑĩаÑģ а +Ġcommun auté +ĠespecÃŃf ica +ĠL á»ĭch +Ġli é +Ùģ جر +à¹Ģà¸ģ à¹Īà¸ĩ +ع اÙĦ +عاÙĦ ج +Ø£ÙĨ ظ +Ø£ÙĨظ ÙħØ© +ES Ä° +ĠاÙĦØŃ Ø¯ÙĬد +à¸ŀระ à¸Ńà¸ĩà¸Ħà¹Į +Ġפר שת +Ġдв иж +Ġдвиж ениÑı +ĠاÙĦج ارÙĬ +à¸ĺาà¸Ļ ี +неÑģ ен +ĠاÙĦÙĨ ÙĩائÙĬ +Ġб еÑĢ +ĠбеÑĢ ем +ĠбеÑĢем енн +Ġdépart ement +à¹Ģà¸Ĺ ีย +à¹Ģà¸Ĺีย à¸ļ +ĠÐľ аÑĢи +ĠнекоÑĤоÑĢ ÑĭÑħ +об еÑģп +обеÑģп еÑĩен +×Ĺ ×ķ×ĸ +×Ĺ×ķ×ĸ ×Ķ +ÙĨت ج +à¸Īะ à¹Ħà¸Ķà¹īรัà¸ļ +á» ° +Ġél éments +ع Ø· +عط اء +Ġt ắt +i á»ĩm +ÑİÑīиÑħ ÑģÑı +ãģĹãģ ° +ãģĹãģ° ãĤīãģı +Ġпом ожеÑĤ +à¸Ĥà¸ĵะ à¸Ļีà¹ī +Ġ×¢ שר×ķת +éģķ ãģ£ãģ¦ +ĠпÑĢ ог +ĠпÑĢог н +ĠпÑĢогн оз +Ġt ÅĤ +ĠtÅĤ um +ĠtÅĤum acz +T ür +Tür kiye +ãģį ãģ£ +ãģįãģ£ ãģĭãģij +Ġ×Ķ׳ ×ķ׼ +Ġ×Ķ׳×ķ׼ ×Ĺ×Ļ +ĠìĥĿ ìĤ° +ĠÑĦоÑĢм Ñĭ +ç¾İ ãģĹãģĦ +à¸Ľà¸£ ึà¸ģ +à¸Ľà¸£à¸¶à¸ģ ษา +Ġlum ière +ãĤª ãĥ¼ãĥĹ +ãĤªãĥ¼ãĥĹ ãĥ³ +à¸Ľ ืà¸Ļ +วั สà¸Ķ +วัสà¸Ķ ุ +еÑĢÑĤ в +ÙĥÙĦ Ùģ +ï½ £ +à¸ĺรรม à¸Ķา +׳ ×ĺר +ĠпÑĢедÑģÑĤав лÑıеÑĤ +Ġanál isis +Ġb ãi +با ÙĤÙĬ +à¸Ľà¸£à¸° à¹Ģà¸Ķ +à¸Ľà¸£à¸°à¹Ģà¸Ķ à¹ĩà¸Ļ +ĠÑģлÑĥÑĩ аÑı +ĠÑģлÑĥÑĩаÑı Ñħ +ÐĽ ÐIJ +สัà¸ĩ à¹Ģà¸ģ +สัà¸ĩà¹Ģà¸ģ à¸ķ +Ġprz ec +Ġprzec ież +Ùħ صÙĦ +ÙħصÙĦ ØŃØ© +ש×ķק ×ķ׾×ĵ +ĠобоÑĢÑĥд ованиÑı +Ġtr waÅĤ +رÙĪ Ùħ +ìķĪ ëĤ´ +ĠNgh á»ĭ +Ø® Ø´ +à¸ļา à¸Ħาร +à¸ļาà¸Ħาร à¹Īา +Ġоп ÑĨион +ĠÑģозд аниÑı +ãĤ³ ãĤ¹ãĥĪ +Ġ×Ķ×¢ ׾×Ļ +Ġ×Ķ×¢×ľ×Ļ ×ķף +lä uft +ãĥĻ ãĤ¹ãĥĪ +Ġr ê +Ġrê ve +×IJ ×ij×Ļ×ij +×Ļ ×Ļ×ļ +ë¶ Ļ +ãĤ¤ãĥ³ ãĥī +ÅĤo ży +ÅĤoży Äĩ +ع ائÙĦ +عائÙĦ Ø© +Ø£ ÙĪر +Ø£ÙĪر اÙĤ +à¸Ĺà¹īà¸Ńà¸ĩ à¸ĸ +à¸Ĺà¹īà¸Ńà¸ĩà¸ĸ ิà¹Īà¸Ļ +Ġä hn +Ġähn lich +ãĥŁ ãĥĭ +à¸ľ ู +à¸ľà¸¹ à¹īà¸Ļ +à¸ľà¸¹à¹īà¸Ļ ำ +ĠмаÑĤеÑĢиал Ñĭ +Ġкап иÑĤ +ĠкапиÑĤ ал +ï¼ ¦ +Ġseç il +Ġh ứng +Ġintéress ant +ãģ£ãģ¦ ãģĦãģı +Ġe ÄŁer +ëIJĺ ìĹĪìĬµëĭĪëĭ¤ +Ġan laÅŁma +ãģĶ åĪ©çĶ¨ +Ġ×ij ×ĸ׼ +Ġ×ij×ĸ׼ ×ķת +ëĿ¼ ë©´ +ĠÙĬ ÙĪس +ĠÙĬÙĪس Ùģ +أسÙĦ ØŃØ© +ĠGef ühl +ĠноÑĢм алÑĮн +ãĥĻ ãĥ³ +ãģķãĤĮ ãĤĭãģĵãģ¨ +ĠÐij еÑģ +ãģ¨ãģĦ ãģĪãģ° +ĠÙħ ÙĩÙħ +ĠÙħÙĩÙħ Ø© +ãģ§ãģĹãĤĩãģĨ ãģŃ +ĠêµŃ ëĤ´ +à¹Ģม à¹ĩà¸Ķ +×ŀ×ij קר +ĠاÙĦد ÙĨÙĬ +ĠاÙĦدÙĨÙĬ ا +à¸Ĭ ู +к ÑĢÑĥÑĤ +Ġtho áng +Ġ׳ ×ĵר +Ġ׳×ĵר ש +ĠÑĢаÑģÑģ казал +ĠAu ÃŁerdem +פ ×IJר +פ×IJר ק +Ġ×ŀש×Ĺק ×Ļ×Ŀ +צ ר׼×Ļ×Ŀ +×ŀ×ĵ ×ķ +×ŀ×ĵ×ķ ×Ļק +èĭ¦ ãģĹ +ĠÑģ иг +ĠÑģиг нал +ĠM á»įi +Ġtr ữ +Ġnast ÄĻp +ĠnastÄĻp nie +Ġì¶Ķ ì§Ħ +ĠاÙĦÙģ ÙĨد +ĠاÙĦÙģÙĨد ÙĤ +koÅĦ czyÅĤ +ส ีà¹Ī +ק ×Ļ×ij +ק×Ļ×ij ×ķ×¥ +ĠнÑĥж нÑĭ +大 åĪĩ +大åĪĩ ãģª +æıĽ ãģĪ +ת ×ķס +ת×ķס פת +ãģ£ãģ¦ ãģĦãģªãģĦ +Ġм Ñı +ĠмÑı г +ĠмÑıг к +Ġjak ie +Ġjakie ÅĽ +à¸ķำ à¸ļ +à¸ķำà¸ļ ล +ĠìŀĪ ì§Ģ +×ij×ĺ ×IJ +ĠоÑĤлиÑĩ но +ÙĤ ÙIJ +ĠавÑĤом об +ĠавÑĤомоб и +ĠавÑĤомоби лÑı +دÙĬÙħÙĤرا Ø·ÙĬ +ĠاÙĦ ÙĪا +ĠاÙĦÙĪا ØŃد +Ġس ÙĪرÙĬØ© +Ø£ غÙĦ +أغÙĦ ب +ĠÑįк ÑĢан +ãĥĹ ãĥ©ãĤ¤ +Ġjeste ÅĽ +ãĥIJ ãĥª +Ġ×Ķ×IJ ×ķ×ķ×Ļר +ائ Ùĥ +à¸Ńยà¹Īาà¸ĩ ยิà¹Īà¸ĩ +ÑĢ екÑĤ +Ġum o +Ġumo ż +Ġumoż li +Ġumożli w +Ġumożliw ia +Ġnäch ste +ĠìŀĪ ì§Ģë§Į +ĠпÑĢед н +ĠпÑĢедн аз +ĠпÑĢедназ наÑĩен +Ġma çı +Ġp omi +Ġpomi ÄĻd +ĠpomiÄĻd zy +ĠاÙĦÙĦ ÙĤاء +à¹Ģà¸Ķ à¸Ńะ +Ġнов оÑģÑĤи +×ŀ׊׾×Ķ +رÙĬاض ÙĬ +à¸Ķ à¸Ļ +à¸Ķà¸Ļ à¸ķรี +ب صر +ìĬ¤ íĥĢ +scri pción +Ġnap isa +Ġnapisa ÅĤ +Ġ׳ש ×ŀ×¢ +ĠاÙĦÙħØŃ ÙĦÙĬ +Ġhi á»ĥn +×IJ ×Ĺ +×IJ׊ר×IJ×Ļ +Ġг ÑĢаниÑĨ +æīĭ ç¶ļãģį +Ùĥ سب +Ġà¹ģà¸ķà¹Ī à¸ĸà¹īา +à¸Ķาว à¸Ļà¹Į +à¸Ķาวà¸Ļà¹Į à¹Ĥหลà¸Ķ +ãĤĭãģĵãģ¨ãģĮãģ§ãģį ãģ¾ãģĻ +åŁºæľ¬ çļĦãģ« +ÙĪÙĦ اد +rä ume +د Ùģاع +×Ļצ ×¢ +ĠO czy +ĠOczy wiÅĽcie +ĠÅ ģ +ĠÅģ a +اÙĦÙĬ اب +اÙĦÙĬاب اÙĨ +áºł I +ĠBir liÄŁi +×Ķ ×ķצ +×Ķ×ķצ ×IJת +ĠÄij ua +Ġê·¸ëŁ¬ ëĭĪê¹Į +Ġréal ité +ع ÙĦاÙĤات +J este +Jeste ÅĽ +Ġмн ож +Ġмнож еÑģÑĤво +ï¼ « +ãĥĹãĥŃ ãĤ¸ãĤ§ +ãĥĹãĥŃãĤ¸ãĤ§ ãĤ¯ãĥĪ +ĠÑĦ л +ظ ÙĨ +×Ĵ׾ ×Ĵ׾ +ĠmÅĤod zie +ĠmÅĤodzie ż +à¸Ļà¹īำ à¸ķา +à¸Ļà¹īำà¸ķา ล +ÐĽ Ðķ +×ij ×ķ×ĺ +Ġ׾×Ķ ×Ĵ×Ļ×ĵ +ãģĵãģ¨ãĤĤ ãģĤãĤĭ +ز اد +×ŀ×Ļ×ĵ ×¢ +ĠgÅĤówn ie +ãĥı ãĤ¦ +ãĥıãĤ¦ ãĤ¹ +б ел +Ġét ape +ðŁĺ Ģ +Ġмод елÑĮ +a ģını +ש ×Ĺק +ש×Ĺק ף +Ġni ño +à¸Ĭ à¹īาà¸ĩ +à¹Ģล ีย +ĠÑĦоÑĢм е +ĠاÙĦØ´ رÙĬÙģ +ĠÑĥд аÑĢ +arr iv +arriv ée +Ġmies iÄĻ +ĠmiesiÄĻ cy +ØŃ Ø±Ùĥ +ØŃرÙĥ ات +ĠDi á»ħn +ÐĿ Ы +ãģ¾ãģ£ãģŁ ãģı +Ġ×Ļ ר×ķק +еÑģÑĤ еÑģÑĤв +еÑģÑĤеÑģÑĤв енн +Ġê·¸ ëŁ¼ +ĠاÙĦÙħ تÙĪ +ĠاÙĦÙħتÙĪ سط +Ġbéné fic +Ġbénéfic ie +Ġwy bra +Ġwybra Äĩ +ĠاÙĦز ÙħÙĨ +ĠпÑĢин Ñı +ĠпÑĢинÑı л +Ùģر ØŃ +Ġk sz +Ġksz taÅĤ +ĠksztaÅĤ t +ק׾ ×ĺ +×ij×ĵ×Ļק ת +Ġgi ấ +Ġgiấ c +Ġpropriet Ãł +деÑĢж ан +ĠKö ln +ĠGü zel +×Ļפ ×ķ×Ļ +ĠCu á»Ļc +ÑįÑĤ аж +تر ÙĥÙĬ +ترÙĥÙĬ ز +лож ений +Ġп Ñĥ +ĠпÑĥ ÑĤи +اخت ÙĦاÙģ +åĩºãģ¦ ãģıãĤĭ +à¸ļุ à¸ģ +âĿ ¤ +ÑĦ ан +פש ×ĺ +à¸ļัà¸Ļ à¹Ģà¸Ĺ +à¸ļัà¸Ļà¹Ģà¸Ĺ ิà¸ĩ +ĠاÙĦس اد +ĠاÙĦساد س +ĠاÙĦÙĤ ÙĪÙħ +ĠاÙĦÙĤÙĪÙħ ÙĬ +Ġyönet ici +Ùĩ ÙĪات +ÙĩÙĪات Ùģ +Ġrespons ável +Ġпод деÑĢжива +ĠاÙĦسÙĦ Ø· +ĠاÙĦسÙĦØ· ات +ãģĹãģ¦ ãģĬãģı +ãĥļ ãĥĥãĥĪ +à¸Ľ ุà¹Īม +Ġogl Äħda +ÙĨا ÙĤ +ÙĨاÙĤ Ø´ +à¸Ħà¸Ńà¸Ļ à¹Ĥà¸Ķ +ĠMü sl +ĠMüsl ü +ĠMüslü man +ĠMo ż +ĠMoż na +Ġnum érique +Ġv á»ı +ĠسÙĬ تÙħ +Ġyer leÅŁ +монÑĤ аж +Ġgo ût +ãģ¦ ãģĬãĤĬãģ¾ãģĻ +ĠKh ánh +Ġе дин +Ġедин ÑģÑĤв +اÙĨ Ø®Ùģ +اÙĨØ®Ùģ اض +ìĭľ íĹĺ +Ġl ặng +ĠÑĢ олÑĮ +à¸ķัว à¹ģà¸Ĺà¸Ļ +à¸Ħà¹Īา à¹ĥà¸Ĭà¹ī +à¸Ħà¹Īาà¹ĥà¸Ĭà¹ī à¸Īà¹Īาย +Ġver füg +Ġverfüg bar +ìĻĶ ëĭ¤ +ãģĦ ãģļ +ãģĦãģļ ãĤĮ +ĠиÑģÑģлед ованиÑı +меÑī а +×Ķ ×Ĺ +×Ķ×Ĺ ×ĸר +à¹ģà¸Ł à¸Ĭัà¹Īà¸Ļ +ت صرÙģ +Ø¥ رÙĩاب +Ġexerc ÃŃcio +Ġé lev +Ġélev é +สัà¸įà¸įา à¸ĵ +Ãĸ Z +ãĥĹ ãĥŃãĤ° +ãĥĹãĥŃãĤ° ãĥ© +ãĥĹãĥŃãĤ°ãĥ© ãĥł +Ġw ewnÄĻtrzn +Ġhen üz +é£Ľ ãģ³ +à¹Ģà¸Ķ à¸Ńรà¹Į +Ñģ Ñĥж +ÑģÑĥж ден +شع ÙĪب +ãģ²ãģ¨ ãĤĬ +Ġwy ÅĤÄħ +ĠwyÅĤÄħ cznie +Ġпло Ñħо +ÐĶ Ðķ +Ạ¦ +Ùģع اÙĦÙĬ +ÙģعاÙĦÙĬ ات +ĠاÙĦع شر +ÑģÑĤÑĥп ил +Ġy arg +Ġyarg ı +нÑİ Ñİ +×ķ×IJ ×ij +Ġu ç +Ġuç ak +ë² ½ +تÙĪ ÙĤÙĬ +تÙĪÙĤÙĬ ع +Ġì¤ij ìĭ¬ +׳×Ļ×ķ ×ķ×ĺ +Ø£ ÙĥÙĦ +ç½® ãģĦãģ¦ +éłĤ ãģį +Ġ×Ķת ×ij +Ġ×Ķת×ij ×Ļ×¢×Ķ +Ġdür fen +Ùħ ÙĤاÙĦ +ÙħÙĤاÙĦ ات +Ġز ÙħÙĨ +à¸ŀฤ ศ +à¸ŀฤศ à¸Ī +à¸ŀฤศà¸Ī ิà¸ģ +à¸ŀฤศà¸Īิà¸ģ ายà¸Ļ +ĠнеÑģк олÑĮ +ĠнеÑģколÑĮ ки +ĠнеÑģколÑĮки Ñħ +Ġcrian ça +มิ à¸ķร +×ŀ׼ ×Ļר×ķת +à¸ģาร à¸ļริหาร +Ġtélé charg +Ġ×IJ×ķ×Ķ ×ijת +ĠBü ro +ä½ľ ãģ£ãģŁ +ĠKi ÅŁi +ç¾İåij³ ãģĹ +à¹Ģลย à¸Ħà¹Īะ +à¸ŀà¸ļ à¸ģัà¸ļ +à¸Ī à¹īา +Ġç er +Ġçer ç +Ġçerç eve +ãĤĴä½ľ ãģ£ãģ¦ +ĠпеÑĢв ÑĥÑİ +×ŀצ ר×Ļ×Ŀ +×IJ׾ ×ķ×Ķ +×IJ׾×ķ×Ķ ×Ļ×Ŀ +Ġagr é +Ġagré able +Ġay ır +Ä°L Ä° +ãĤ ¥ +Ġíĺ Ħ +ĠíĺĦ ìĭ¤ +ثاÙĦ Ø« +ת ×ĸ +ת×ĸ ×ķ׳×Ķ +ãģ¨ãģĦ ãģ£ãģ¦ +ãģ¨ãģĦãģ£ãģ¦ ãĤĤ +Ġا بÙĪ +ĠÑģоб ак +é£Łãģ¹ ãģŁ +Ġдан ном +à¹Ģล ิ +à¹Ģลิ ศ +Ġí ļ +Ġíļ ¨ +Ġíļ¨ ê³¼ +ãĤĤãĤī ãģĪãĤĭ +׳ צ׾ +ÑĦ ик +ÑĦик Ñģ +Ġjeste ÅĽmy +ת×Ĺ×ķש ×Ķ +à¹Ħมà¹Ī à¸Ħวร +ĠØŃ Ø³ÙĬÙĨ +à¸ģาร ลà¸ĩà¸Ĺุà¸Ļ +ë´ ¤ +ĠÐĺ менно +à¸ļ à¸Ńรà¹Į +à¸ļà¸Ńรà¹Į à¸Ķ +ĠC ảnh +ìĦľ ë¹ĦìĬ¤ +Ġпол ов +Ġполов ин +Ġзам еÑĩа +ãģĦãĤį ãĤĵãģª +Ġ×ij ×Ļק +Ġ×ij×Ļק ש +л ÑĥÑĪ +ãĤĴ è¿İ +ãĤĴè¿İ ãģĪ +جرÙĬ ÙħØ© +Ġt ây +ĠاÙĦÙĨ ÙĪ +ĠاÙĦÙĨÙĪ ÙĪÙĬ +ÃĤ N +ì¿ ł +หà¸Ļ าว +Ġ×ij׊ש×ij×ķף +ز ار +à¸Ķ าร +à¸Ķาร า +ĠÅĽ l +ĠÅĽl ub +มีà¸Ħวาม สุà¸Ĥ +Ġn hu +Ġnhu áºŃn +ÙħØŃ Ø·Ø© +à¹Ģสืà¹īà¸Ń à¸ľà¹īา +ĠТ олÑĮко +ĠÙĥ س +ĠÙĥس ارة +ÙħØ´ رÙĪع +niÄĻ cia +×¢ ׼ש×Ļ×ķ +ت ÙĦÙģ +تÙĦÙģ زÙĬ +تÙĦÙģزÙĬ ÙĪÙĨ +Ġl Æ°á»Ľi +ĠÐľÐ¾Ñģк вÑĭ +Ġré serve +Ġan laÅŁ +ĠanlaÅŁ ıl +Ġed eceÄŁi +รà¸Ńà¸ĩ à¹Ģà¸Ĺà¹īา +Ġب Ø· +Ġبط رÙĬ +ĠبطرÙĬ ÙĤØ© +ãģ¦ãģĹãģ¾ ãģ£ãģ¦ +ãĤĤãĤī ãģ£ãģ¦ +بر ج +æ± ļ +æ±ļ ãĤĮ +Ġch oc +Ġchoc ia +Ġchocia ż +Ġzob ac +Ġzobac zyÄĩ +пÑĢ Ñı +пÑĢÑı жен +ĠÑĨ иÑĦ +ĠÑĨиÑĦ ÑĢ +Ġм ам +Ġвз ÑıÑĤÑĮ +Ġch ạm +ج سÙħ +ØŃÙħ اس +à¹Ģล à¹Īม +à¸ŀิ ษ +×Ķפ ׼×ķ +à¸Ĭà¹Īà¸Ńà¸ĩ à¸Ĺาà¸ĩ +Ġв ек +Ġвек а +Æ¡ Ìģ +Æ¡Ìģ i +ĠTi á»ģn +Ġtr ầm +мÑĭ ÑĪ +мÑĭÑĪ л +ĠÑĤ Ñĥ +ĠÑĤÑĥ ÑĢиÑģÑĤ +Ġch c +Ġchc Äħ +Ġав г +Ġавг ÑĥÑģÑĤ +ĠавгÑĥÑģÑĤ а +ס ×IJ×ķת +Ġר ×Ĵ׾ +à¸ľà¸¥ à¸ģระà¸Ĺ +à¸ľà¸¥à¸ģระà¸Ĺ à¸ļ +å¤īãĤı ãĤĭ +Ġ×Ķ×IJ×Ĺר ×ķ׳×Ļ×Ŀ +سÙģ ÙĬر +ĠÑĩа Ñīе +ãģĦ ãĤī +ãģĦãĤī ãģ£ +ãģĦãĤīãģ£ ãģĹãĤĥ +×ķ×ŀ ׳×Ļ×Ŀ +Ġart tır +ĠCh á»ĭ +Ġì¡° ì§ģ +ĠÑĥÑģп еÑħ +Ġ×¢ ×ķס +Ġ×¢×ķס ק +ĠìĥĿ ëªħ +ÑĨ иÑĤ +Ġreg ión +Ðŀ ÐĿ +ĠdoÄŁ um +ĠyaÅŁ ad +ĠyaÅŁad ıģı +à¸Ĺà¸Ķ ลà¸Ńà¸ĩ +Ġgöz ü +ש ×Ļר×Ķ +дÑĥм ал +Ġda ģı +Ġdaģı t +à¸Ĺีม à¸ĩาà¸Ļ +Ġti á»ģm +ĠاÙĦÙĥ بر +ĠاÙĦÙĥبر Ùī +ì¹ Ń +ĠGü nc +ĠGünc elle +ĠGüncelle me +ê¹ Ĭ +ĠобоÑĢÑĥд ование +ĠÑĢеÑĪ а +á» ¤ +Ġп иÑĤ +ĠпиÑĤ аниÑı +à¹Ģรีย à¸ļ +×Ľ×ª ×Ļ×ij×Ķ +Ġп он +Ġпон ÑĢав +ĠпонÑĢав и +Ġ×Ķ ×ķ׾×ĵ +Ġ×Ķ×ķ׾×ĵ ת +Ġê² ģ +Ġê²ģ ëĭĪëĭ¤ +ĠпеÑĢв ой +ãĥ©ãĤ¤ ãĥķ +ĠÅŁi ir +kr ÄĻ +krÄĻ c +Ġthi á»ĥu +à¹Ģลย à¸Ĺี +à¹Ģลยà¸Ĺี à¹Ģà¸Ķียว +×ĺ×¢ ׳×ķת +ائ ÙĩÙħ +Ġ×IJ ס×ķר +ĠплаÑĤ еж +تر دد +Ġmożli we +Ġkh Ỽ +ĠkhỼ p +تÙģاع ÙĦ +ĠÑĪ колÑĮ +ĠÑĪколÑĮ н +ĠÙĤ صة +Ġmét ier +nÄĻ ÅĤa +หล à¹Īà¸Ń +Ġ ủng +Ġprz egl +Ġprzegl Äħd +ĠاÙĦÙħ تعÙĦ +ĠاÙĦÙħتعÙĦ ÙĤØ© +ĠÑģÑĭ н +Ġв олн +ãĥĩ ãĥ¼ãĥĪ +ĠÐŃ ÑĤи +Ġк ÑĢоме +à¸Ħ ารà¹Į +׳ק ×ķ×ĵ×Ķ +Ġ׾ש×ŀ ×ķ×¢ +Ġ×ĸ ×ķ׼ר +ï¼ § +ÙĬ Ùİا +Ġgi á»ıi +åĥį ãģı +ĠÑģ ни +ĠÑģни жен +à¹ģà¸Ķ à¸Ķ +รุ à¸Ļ +รุà¸Ļ à¹ģรà¸ĩ +Ġhi á»ĩp +ograf ÃŃa +à¹Ģà¸Ī à¸Ńรà¹Į +Ġдв иг +Ġдвиг аÑĤ +ĠдвигаÑĤ ел +Ġü y +Ġüy eler +Ġüyeler i +Ġб Ñĥк +ĠбÑĥк в +ãĤĤ å¤ļãģı +Ġthi á»ĩt +ĠPa ÃŃs +ĠØ· بÙĬعÙĬ +à¹ģà¸Ī à¸ģ +ĠاÙĦص ØŃÙĬØŃ +Ġapp ré +Ġappré ci +Ġdecis ión +Ġë°ĺ ëĵľ +Ġë°ĺëĵľ ìĭľ +ĠÑĤеб е +ãĤ· ãĥ¼ãĤº +ãĤ·ãĥ¼ãĤº ãĥ³ +Ġд алÑĮн +ĠìĬ ¤ +ĠìĬ¤ ìĬ¤ +ĠìĬ¤ìĬ¤ ë¡ľ +ĠTh á»ĥ +Ġkar ÅŁ +ĠkarÅŁ ıs +ĠkarÅŁÄ±s ında +ĠK ön +ĠKön ig +ив ание +×ij ×ķצע +г лаÑģ +Ġtw ó +Ġtwó rc +à¸Ľà¸ģ à¸Ħร +à¸Ľà¸ģà¸Ħร à¸Ńà¸ĩ +ĠG ÅĤ +ĠGÅĤ ówn +ĠUnter stüt +ĠUnterstüt zung +Ġд ÑĥÑħ +ĠдÑĥÑħ ов +Ø£ ÙħاÙĨ +×Ĺש ש +ت ظ +تظ اÙĩر +ĠлÑİб ом +à¸ķ าร +à¸ķาร าà¸ĩ +Ġkr ól +Ø£ ØŃدث +ì¡Į ëĭ¤ +Ðļ ÑĥÑĢÑģ +ãĥĥ ãĥĦ +×ŀק ×ķ×ij׾ +ĠÑģимв ол +Ġdés orm +Ġdésorm ais +w üns +wüns che +Ñĥ ни +Ñĥни ÑĨип +ÑĥниÑĨип алÑĮн +หลัà¸ģ สูà¸ķร +ÙĨت شر +Ġа л +Ġал к +Ġалк ог +Ġалког ол +ĠÑĥ ÑĩиÑĤÑĭва +à¸ģำ à¸ģัà¸ļ +Ġ׾ פע×ķ׾ +ĠìĹ° ê²° +s Äħd +ĠاÙĦØ£ ÙĬ +ĠاÙĦØ£ÙĬ اÙħ +غÙĬ اب +Ġна ÑĢ +ĠнаÑĢ ко +×ŀ×ķ×ĵ ×¢ +ĠÑģеÑĢ ии +пиÑģ Ñĭва +สิ ว +ç¶ļ ãģĦãģ¦ +çĶ³ãģĹ è¾¼ãģ¿ +Ġ׾ ×Ĵר +Ġ׾×Ĵר ×ķ×Ŀ +Ġд ем +Ġдем о +Ġë³´ ëĤ´ +تÙĩ دÙĬد +ĠÙħØ´ ÙĬرا +Ġdu y +Ġduy á»ĩt +ĠwiÄĻks ze +Ùħع اÙĬ +ÙħعاÙĬ ÙĬر +ĠG da +ĠGda ÅĦsk +Ġr ah +Ġrah ats +Ġrahats ız +ר ×ķצ×Ķ +l ös +lös ung +ĠТак им +ÑĪ ед +ÑĪед ÑĪ +ع زÙĦ +Ġרש ×Ļ×ŀת +Ġ׾×Ķ ×Ļ׼ +Ġ׾×Ķ×Ļ׼ ×ł×¡ +Ġп ÑĥÑĤ +ĠпÑĥÑĤ еÑĪ +ĠпÑĥÑĤеÑĪ еÑģÑĤв +Ġnot ÃŃcia +Ġal Ä±ÅŁ +ĠalÄ±ÅŁ ver +ĠalÄ±ÅŁver iÅŁ +ĠwÅĤ os +ĠwÅĤos ów +Ġب غ +Ġبغ داد +Ġver öffent +Ġveröffent licht +ĠKh á +Ġt án +ëIJĺ 기 +Ġë°© 문 +Ùģ ÙĬÙĦ +à¹Ģà¸ģิà¸Ķ à¸Īาà¸ģ +åı¯ æĦĽ +åı¯æĦĽ ãģĦ +à¸ĸ ุà¸ĩ +Ġz ewnÄĻtrzn +à¸łà¸²à¸©à¸² à¸Ńัà¸ĩà¸ģฤษ +Ġmá xima +Ġul us +Ġulus lararası +Ġ׳×Ķ ׳ +à¸Ĥà¹Īาว สาร +ĠìĿĺ ìĤ¬ +à¹Ģหล ืà¸Ńà¸ĩ +Ġد ÙĤ +ĠدÙĤ ائÙĤ +สืà¹Īà¸Ń สาร +ë¨ ¼ +ĠÑģоÑģÑĤоÑı нии +สมา à¸Ħม +á» Ĥ +ĠÐľÐ¾Ñģ ков +ĠÐľÐ¾Ñģков Ñģк +×ŀס ×ķ×Ĵ׾ +ãģĭ ãģĭãĤĬ +ĠTr uyá»ģn +à¹ģà¸Ĥà¹ĩà¸ĩ à¹ģรà¸ĩ +×ŀ×Ĺ ×ĸ×Ļק +à¹Ĥà¸ģ à¹ī +ÙĬس ر +ìĶ © +×IJ ×ķק +×IJ×ķק ×ĺ +×IJ×ķק×ĺ ×ķ×ijר +Ġprox imité +ÙħÙĨ Ùĩج +ĠاÙĦج ز +ĠاÙĦجز ائ +ĠاÙĦجزائ رÙĬ +ĠÄIJi á»ĥm +Ġден еж +Ġденеж н +ÙģØŃ Øµ +Ùģ ئ +ĠÐij Ñĥд +×Ĵ×Ļ×ĵ ×ķ׾ +ĠÐĴ едÑĮ +عÙĦ اÙħØ© +Ġ×IJ×Ĺר ×ķ׳×ķת +ãģĦãģŁãģł ãģĦãģ¦ +سÙĦ ØŃ +ØŃ ÙĦÙħ +ز ÙĪار +Ùĥ سر +×ĺ קס +Ġб ан +Ġбан ков +ĠпÑĢ ож +ĠпÑĢож ива +li wo +liwo ÅĽci +ĠTi ếp +ĠاÙĦÙħÙĨ اسب +ĠاÙĦØ® ÙĬار +ãģĬ ãģĭ +ãģĬãģĭ ãģĴ +à¸Ķà¸Ńà¸ģ à¹Ħมà¹ī +ä mp +ämp fe +à¸ķัà¹īà¸ĩ à¹ĥà¸Ī +Ġза ÑīиÑĤ +ĠзаÑīиÑĤ Ñĭ +ĠTh Æ°á»Ŀng +Ġص Ùģ +ĠصÙģ ØŃØ© +×Ĺ×ķר ×£ +ãĥIJ ãĥĥãĤ° +Ġ×ĵ ×Ļ×Ĵ +Ġ×ĵ×Ļ×Ĵ ×Ļ×ĺ +Ġ×ĵ×Ļ×Ĵ×Ļ×ĺ ׾×Ļ +Ġ×Ķ×Ĺ ×ķ׾×Ļ×Ŀ +в еÑī +веÑī а +Ġк ÑĥлÑĮÑĤ +ĠкÑĥлÑĮÑĤ Ñĥ +ĠкÑĥлÑĮÑĤÑĥ ÑĢÑĭ +ĠاÙĦاÙĨ ترÙĨت +Ġhö ch +Ġhöch st +Ġíĺ ķ +Ġíĺķ íĥľ +Ġв ой +Ġвой нÑĭ +ÐĽ Ðŀ +ìĭł ìļ© +Ġ×ŀ×ij ×ķס +Ġ×ŀ×ij×ķס ס +×ŀ׳ ×Ļ×¢ +Ġfiyat ı +ĠÑģл Ñĥж +ĠÑģлÑĥж бÑĭ +à¸Ĺั ศ +à¸Ĺัศ à¸Ļ +ãģĵãģ¨ãģĮ å¤ļãģĦ +Ġ×Ķ×ŀש ת +Ġ×Ķ×ŀשת ×ŀש +å¯Ħ ãģĽ +×ŀש׾ ×ķ×Ĺ +æĻĤ çĤ¹ +æĻĤçĤ¹ ãģ§ +à¸ŀร ี +à¸ŀรี à¹Ģมีย +à¸ŀรีà¹Ģมีย รà¹Į +à¸ŀรีà¹Ģมียรà¹Į ลีà¸ģ +Ġdiffic olt +Ġdifficolt Ãł +ãĥ¬ ãĤ¹ãĥĪ +ãĥ¬ãĤ¹ãĥĪ ãĥ©ãĥ³ +สม à¹Ģà¸Ķà¹ĩ +สมà¹Ģà¸Ķà¹ĩ à¸Ī +Ġж ид +Ġжид к +Ġzu peÅĤ +ĠzupeÅĤ nie +ĠÙħ جر +ĠÙħجر د +ãģĮ å§ĭ +ãģĮå§ĭ ãģ¾ +ãĤŃãĥ£ ãĥ© +Ġ×IJ ×ķ×ķ×Ļר +ãģĬ äºĴ +ãģĬäºĴ ãģĦ +Ġpot rÃł +ĠPa ÅĦst +ĠPaÅĦst wo +Ġب ÙĬاÙĨ +ĠبÙĬاÙĨ ات +Ġин огда +ĠÑĢ а +ĠÑĢа ÑģÑĤв +ĠÑĢаÑģÑĤв оÑĢ +Ġ×ĸ ×ŀ׳ +ยิ à¹īม +Ä Ĩ +ãģ¾ ãģķ +ãģ¾ãģķ ãģ« +ãĥķãĤ¡ ãĤ¤ãĥ« +Ġgörd Ã¼ÄŁÃ¼ +สà¸ĩ à¸Ħร +สà¸ĩà¸Ħร าม +ĠArk adaÅŁ +ĠrozwiÄħz ania +×ŀ ×ķ×ĺ +pi ÄĻ +piÄĻ t +ص غر +ส ย +สย าม +ãĤĨ ãģ£ãģıãĤĬ +Ġtr ần +Ġeconom ÃŃa +Ġgeh ören +ãĤ·ãĥ§ ãĥ¼ +ĠsÅĤ ucha +à¸ŀà¸Ń à¹ĥà¸Ī +ĠоÑĤмеÑĤ ил +ÙĨت ÙĤÙĦ +Ġprop ósito +ĠваÑĪ его +Ġnh ắn +à¹ģà¸ĸ ว +Ġком иÑģ +ĠкомиÑģ Ñģи +waż nie +Ġy avaÅŁ +×ŀ ×Ļק +×ŀ×Ļק ×ķ×Ŀ +ש×IJ׾ ת +Ġyıll arda +ĠÐ ® +ĠЮ ÑĢ +×ł×¡ ×Ļ×ij×ķת +ת צ +תצ ×ķ×Ĵ +Ġод нÑĥ +Ġ à¸Ńยà¹Īาà¸ĩà¹Ħร +Ġà¸Ńยà¹Īาà¸ĩà¹Ħร à¸ģà¹ĩà¸ķาม +ëģ ¼ +à¹Ħล à¹Ī +تس ÙĦÙĬÙħ +بÙĦ اغ +Ġì ī +Ġìī ½ +Ġìī½ ê²Į +ãĥļ ãĥ³ +зв ÑĥÑĩ +ĠW äh +ĠWäh rend +Ġ×Ļ ×Ļת +Ġ×Ļ×Ļת ׼ף +Ġkh uyên +Ġv ẽ +Ġа меÑĢ +ĠамеÑĢ ик +ĠамеÑĢик ан +ĠамеÑĢикан Ñģк +ع جب +ãĥĽãĥ¼ãĥł ãĥļãĥ¼ãĤ¸ +Ġник ÑĤо +ĠÙĤ Ùİ +ĠÙĤÙİ Ø§ÙĦ +ĠÙĤÙİاÙĦ Ùİ +ÐIJ ÐĹ +Ùħ جÙħÙĪع +ÙħجÙħÙĪع ات +Ġnecess itÃł +Ġpob li +Ġpobli żu +Ġph ấn +ĠСо обÑī +ÙħÙĤ اط +ÙħÙĤاط ع +Ġ×Ķצ ×ķר×ļ +la ÅŁtırma +ว ิà¸Ķ +วิà¸Ķ ี +วิà¸Ķี à¹Ĥà¸Ń +Ġ그리 ìĬ¤ +Ġ그리ìĬ¤ ëıĦ +ãĤ¿ãĤ¤ ãĥŁ +ãĤ¿ãĤ¤ãĥŁ ãĥ³ãĤ° +ק×ĺ ×Ĵ×ķר +ק×ĺ×Ĵ×ķר ×Ļ×Ķ +Ġ×Ĺ ×ķפ +Ġ×Ĺ×ķפ ש×Ļ +Ø£ جر +Ġим ени +ĠÑĢан ее +à¹Ģà¸ŀืà¹Īà¸Ńà¸Ļ à¹Ĩ +ĠJes ús +Ñģо един +Ñģоедин ен +Ġר ×Ĺ×ķק +à¹Ĥà¸ļ รา +à¹Ĥà¸ļรา à¸ĵ +ĠH Æ¡n +Ġth áºŃp +تع ÙĬÙĬÙĨ +Ġtart Ä±ÅŁ +ĠtartÄ±ÅŁ ma +ĠGes pr +ĠGespr äch +תר ×ķפ +תר×ķפ ×ķת +Ġcat égorie +Ġоказ Ñĭва +ĠналиÑĩ ие +Ġprésent é +Ġk ull +Ġkull and +Ġkulland ı +Ġü nl +Ġünl ü +ĠÙģ Ùĥرة +из аÑĤоÑĢ +×IJ ×ķ׳ +×IJ×ķ׳ ×Ļ×ij +×IJ×ķ׳×Ļ×ij רס +×IJ×ķ׳×Ļ×ijרס ×Ļ×ĺת +ĠÑĢаÑģÑģ маÑĤ +ĠÑĢаÑģÑģмаÑĤ ÑĢ +ĠÑĢаÑģÑģмаÑĤÑĢ ива +تÙĥÙĦ Ùħ +Ùĥت رÙĪ +ÙĥترÙĪ ÙĨÙĬ +ĠÑģо ÑĩеÑĤ +ĠÑģоÑĩеÑĤ а +ãĤĴè¦ĭ ãģĽ +Ġng ừa +ĠÐł еÑģп +ĠÐłÐµÑģп Ñĥб +ĠÐłÐµÑģпÑĥб лик +ãĤ¦ ãĤ© +ãĤ¦ãĤ© ãĥ¼ +ĠÐľ еждÑĥ +ĠìŀĪ ê²Į +Ġm â +ĠìļĶ ì²Ń +ض ار +ลุ à¹īà¸Ļ +ëĮĢ íķĻêµIJ +×ĸ ×Ļ׼ +×ĸ×Ļ׼ ר×ķף +ãĤ¹ ãĥļ +ãĤ¹ãĥļ ãĥ¼ãĤ¹ +ĠкÑĢаÑģ оÑĤ +ï¼ ¨ +ê¼ Ń +ãĤĴ éĽĨ +ãĤĴéĽĨ ãĤģ +ë° Ŀ +Ġ×Ķ׳ ×IJ +Ġ×Ķ׳×IJ ש×Ŀ +Ġê°Ģ ìļ´ +Ġê°Ģìļ´ ëį° +تÙĥÙĦ ÙģØ© +ĠØŃ ÙĤÙĬÙĤÙĬ +Ġh alk +Ġhalk ın +ÑİÑī ÑĥÑİ +ĠÑģп ин +סר×ĺ ף +ĠпеÑĢв ого +Ġпол ож +Ġполож иÑĤелÑĮн +Ġд л +Ġдл иÑĤелÑĮн +ĠV Ä©nh +ê´ ´ +ĠÑģÑĭ ÑĢ +ĠíĨµ íķĺìŬ +ë³ij ìĽIJ +à¹Ĥรà¸ĩ à¸ĩาà¸Ļ +รัà¸ļ à¸ľà¸´à¸Ķ +รัà¸ļà¸ľà¸´à¸Ķ à¸Ĭà¸Ńà¸ļ +تج ÙĨب +s ÅĤ +sÅĤ uch +ãĤ¢ãĥ« ãĥIJ +ãĤ¢ãĥ«ãĥIJ ãĥł +ëī´ ìĬ¤ +Ġpat ië +Ġpatië nt +Ġìĺ ¤í +Ġìĺ¤í ŀ +Ġìĺ¤íŀ Ī +Ġìĺ¤íŀĪ 볤 +ĠDer ne +ĠDerne ÄŁi +wró ci +wróci Äĩ +Ġоб Ñī +ĠобÑī еÑģÑĤв +ĠобÑīеÑģÑĤв енно +ĠêµIJ ìĪĺ +tıģ ımız +Ġ×Ķ×ŀש ×Ļ×ij +k örper +Ġпозв ол +Ġпозвол иÑĤ +ĠChi ến +أخ ÙĪ +ĠAy dın +à¸Ķà¹īาà¸Ļ ล +à¸Ķà¹īาà¸Ļล à¹Īาà¸ĩ +Ġdr u +Ġdru ż +Ġdruż yn +Ġë°ľ íijľ +ĠTh ảo +جÙĩ اد +à¸ģระà¸Ĺ ูà¹ī +Ġк ÑĢов +ĠкÑĢов и +Ġiçer ik +Ġnad zie +Ġnadzie jÄĻ +ĠС моÑĤÑĢ +Ġph ức +ج تÙħاع +جتÙħاع ÙĬØ© +ком пон +компон енÑĤ +Ġб ил +Ġбил еÑĤ +ãĥIJ ãĥ³ãĥī +ĠPol ÃŃcia +اÙĦ تÙĩ +اÙĦتÙĩ اب +ØŃر Ùģ +ت خط +تخط ÙĬØ· +ãĤ³ ãĥ¼ãĥ +ãĤ³ãĥ¼ãĥ Ĵ +ãĤ³ãĥ¼ãĥĴ ãĥ¼ +･･ ï½¥ +à¸ĭ à¸Ńย +Ġcréd it +è²· ãģ£ãģŁ +ĠпоÑĢ Ñıд +ĠпоÑĢÑıд ке +Ġph ó +Ġw ida +Ġwida Äĩ +جر ائÙħ +à¸ľ ี +ĠbÄĻd ÄĻ +Ġ×ŀ פת×Ĺ +ãĥij ãĥ¼ãĥ +ãĥijãĥ¼ãĥ Ĩ +ãĥijãĥ¼ãĥĨ ãĤ£ +ãĥijãĥ¼ãĥĨãĤ£ ãĥ¼ +ĠKa ż +ĠKaż dy +ĠнеобÑħодим оÑģÑĤи +à¸Ł à¸Ńรà¹Į +à¸Łà¸Ńรà¹Į ม +Ġмал ÑĭÑĪ +Ġпл оÑĤ +ĠÑĥ ÑģÑĤÑĢой +ĠÑĥÑģÑĤÑĢой ÑģÑĤва +à¸ĸ à¸Ńà¸Ļ +ĠoluÅŁtur ul +ĠÅĽwi ad +ĠÅĽwiad om +Ùħع Ùĩد +ĠпÑĢоиз веден +Æ ł +ר ×Ļש +Ùħست Ø« +Ùħستث Ùħر +׳×Ļ ×Ļר +pa ñ +Ġ; -) +Ġë°ľ 견 +Ġgör üyor +Ùħؤ ÙĦÙģ +ĠÄIJ á»ģ +ĠاÙĦÙĨ ÙĪاب +×Ĺק ×Ļר×Ķ +Ġm á»ıi +è¿° ãģ¹ +ÐĿ ик +ìŀĸ ìķĦ +ìŀĸìķĦ ìļĶ +prowadzi ÅĤ +l óg +lóg ica +פס ×ĺ +פס×ĺ ×Ļ×ij׾ +Ġ×ŀ ×ĵ×Ķ +Ġ×ŀ×ĵ×Ķ ×Ļ×Ŀ +ãģĵãģĵ ãģ¾ãģ§ +×Ķ ת×Ĺ +×Ķת׊׾×Ķ +Ġפ ×ķס +Ġפ×ķס ×ĺ×Ļ×Ŀ +Ġн ев +Ġнев оз +Ġневоз можно +ĠdostÄĻp ny +Ġغ اÙĦ +ĠغاÙĦ ب +Ġbez pieczeÅĦst +ĠbezpieczeÅĦst wa +åĪĨ ãģĭãĤĭ +ĠF ührung +à¸ģ ีà¹ī +gem Ã¤ÃŁ +à¸Ĭà¹Īวà¸ĩ à¹Ģวลา +Ġìļ°ë¦¬ ëĤĺ +Ġìļ°ë¦¬ëĤĺ ëĿ¼ +ãģ¥ ãģıãĤĬ +ĠاÙĦÙħ سÙĦ +ĠاÙĦÙħسÙĦ ØŃØ© +Ġlibert é +клÑİÑĩ ение +Ġzam ów +Ġzamów ienia +รà¸ĸ à¹Ħà¸Ł +Ø£ ÙģÙĦ +Ø£ÙģÙĦ اÙħ +Ùħ راج +Ùħراج عة +Ġë¹Ħ êµIJ +ĠاÙĦت اب +ĠاÙĦتاب عة +Ġë§Į ëĤĺ +Ġб Ñĥм +ĠбÑĥм аг +Ġgé nero +Ġìŀĺ 못 +×ŀ פ×ķר×ĺ +è²·ãģĦ çī© +ĠÙĦدÙĬ Ùĥ +Ġ×ľ×¢ ×Ļת +Ġ×ľ×¢×Ļת ×Ļ×Ŀ +ĠsÅĤ ab +ĠпÑĢедÑģÑĤав лÑı +ãĤ¿ ãĤ¤ãĥĪ +ãĤ¿ãĤ¤ãĥĪ ãĥ« +Ùħ ص +Ùħص Ø·Ùģ +ÙħصطÙģ Ùī +Ġdifficult é +ãĥĨãĤ£ ãĥĸ +Ġpew noÅĽci +ĠpewnoÅĽci Äħ +Ġ무 ìĬ¨ +Ø¥ رس +إرس اÙĦ +Ġд алÑĮ +ĠдалÑĮ ÑĪе +Ġ׾ ×ł×¡ +Ġ×ľ×ł×¡ ×ķת +หมูà¹Ī à¸ļà¹īาà¸Ļ +×ŀס×ŀ ׼×Ļ +أسÙĦ ÙĪب +Ġzw ÅĤ +ĠzwÅĤ as +ĠzwÅĤas zc +ĠzwÅĤaszc za +ĠпÑĢ еж +ĠпÑĢеж де +ĠоÑĢганиз аÑĨиÑı +Ġdön emin +Ġdönemin de +Ġ Ủ +ĠỦ y +ä¸ĭ ãģĴ +ĠпоÑģлед ние +Ġgü ne +Ġgüne ÅŁ +Ġ×IJ ×ĸר +Ġ×IJ×ĸר ×Ĺ×Ļ +ãģ§ãģĤ ãĤįãģĨ +ĠÙĨ ÙĤ +ĠÙĨÙĤ اط +æŃ£ ãģĹãģĦ +ĠÑĢ ег +ĠÑĢег иона +ĠFör der +ê²½ ìĺģ +dıkl ar +dıklar ını +trzym aÄĩ +أش Ùĥ +أشÙĥ اÙĦ +×Ķת ×IJ +×Ķת×IJ ×ŀ×Ķ +à¸Ĺำà¹ĥหà¹ī à¹Ģà¸ģิà¸Ķ +ĠGeb ä +ĠGebä ude +ĠСеÑĢ г +ĠСеÑĢг ей +Ġз доÑĢов +ĠздоÑĢов ÑĮÑı +Ġr ãi +ĠпÑĢед ÑĥÑģ +ĠпÑĢедÑĥÑģ моÑĤÑĢ +ĠпÑĢедÑĥÑģмоÑĤÑĢ ен +Ġ×Ķצ ×Ļ×ij +Ġ×Ķצ×Ļ×ij ×ķר×Ļ +Ġdés ir +Ġн оÑĩ +ĠноÑĩ ÑĮ +möglich keiten +Ġ×IJ×Ĺר ×ķ׳×Ļ×Ŀ +Ġsoir ée +ĠNh áºŃn +Ù ª +à¸Ľà¸£à¸°à¸§à¸±à¸ķิ ศาสà¸ķรà¹Į +êµIJ íĨµ +ĠØ£ Ø®ÙĬ +Ġdé cid +Ġdécid é +Ġwy ja +Ġwyja ÅĽni +Ġ สิ +Ġสิ à¸ĩ +Ġสิà¸ĩ หา +Ġสิà¸ĩหา à¸Ħม +à¹ģ à¸Ńรà¹Į +หà¸Ļà¹īา à¸Īà¸Ń +ס תר +Ġê ¶ +Ġê¶ Į +Ġê¶Į 리 +pl ätze +ب Ø·ÙĦ +ê±´ ìĦ¤ +Ġ×IJ ×Ļ×ŀ×Ļ +Ġ×IJ×Ļ×ŀ×Ļ ×Ļ׾ +ãģ ½ +تر اث +×IJ׾ ×Ļ×ŀ×ķת +Ġdispon ÃŃveis +Ġz ale +Ġzale ży +à¸Ľà¸£à¸°à¸Ĭา สัมà¸ŀัà¸Ļà¸ĺà¹Į +ĠÅļw iat +Ġpor ówn +Ġporówn a +Ġ׾×ĺ ×ķ×ijת +×Ķ×ĸ ×ŀ׳×Ķ +Ġ×Ľ×ª ×ķצ×IJ×Ķ +Ġ×ij ק׾ +Ġ×ijק׾ ×ķת +ĠоÑĤ кÑĢ +ĠоÑĤкÑĢ Ñĭва +ãĥij ãĥ¯ãĥ¼ +ë¿IJ ë§Į +Ġв ÑģÑı +ĠвÑģÑı к +ãģ¨ãģª ãģ£ãģ¦ãģĦãĤĭ +Ġgi áºŃn +Ġок ÑĢÑĥ +ĠокÑĢÑĥ жа +ĠокÑĢÑĥжа ÑİÑī +ĠUnivers ität +ĠÑĢ ож +ĠÑĢож д +ĠÑĢожд ениÑı +Ø® ÙĬÙĦ +Ġкомпани й +ĠÑĢазлиÑĩ нÑĭе +ĠЦ ена +׳×Ļ ×ķ×ĸ +׳×Ļ×ķ×ĸ ׾ +׳×Ļ×ķ×ĸ׾ ×ĺר +Ġê³µ ê°Ħ +Ġê°ľ ëħIJ +landır ma +ĠÑĥдал ен +à¸ŀัà¸ģ à¸ľ +à¸ŀัà¸ģà¸ľ à¹Īà¸Ńà¸Ļ +Ġprote cción +Ġb ÅĤ +ĠbÅĤ ÄĻd +à Ī +Ġíĸī ë³µ +ĠÅŁ ü +ĠÅŁÃ¼ phe +Ġí Ķ +ĠíĶ ¼ +ĠíĶ¼ íķ´ +Ġëĭ¤ 르 +à¹Ħมà¹Ī à¹Ģà¸ģิà¸Ļ +ãģ¿ ãģª +ãģ¿ãģª ãģķãĤĵ +ĠпоÑĤ ÑĢеб +ĠпоÑĤÑĢеб иÑĤел +ĠاÙĦÙĥÙĦ اÙħ +ìķĦ ë²Ħ +ìķĦë²Ħ ì§Ģ +ãĤĴ使 ãģ£ãģŁ +Ġbụ i +ĠпоÑĤ еÑĢ +ĠпоÑĤеÑĢ Ñı +ĠØ¢ ÙĦاÙģ +ĠнаÑģÑĤоÑıÑī ее +ãģıãģªãĤĬ ãģ¾ãģĹãģŁ +clus ão +ãĤ³ ãĥĶãĥ¼ +צ פ×Ļ +צפ×Ļ ×Ļ×Ķ +Ø® ÙĦا +Ø®ÙĦا ص +ล à¹īำ +ãĥ¯ ãĤ¤ãĥ³ +Ġมี à¸Ļา +Ġมีà¸Ļา à¸Ħม +Ø´ خص +شخص ÙĬات +Ġ×ĸ ק +Ġ×ĸק ×ķק +×Ļ ×Ļצ +×Ļ×Ļצ ×Ĵ +èĢĥãģĪ æĸ¹ +Ġürün ü +ĠиÑģп ол +ĠиÑģпол ни +Ġcompañ ero +ק צ×Ķ +×ŀ×¢ ׳×Ļק +Ùħ ØŃÙħد +Ġc ámara +Ġп ед +Ġпед аг +Ġпедаг ог +м аÑĢ +маÑĢ к +×Ķת ׳×Ĵ×ĵ +ĠìĨĮ ê°ľ +Ġcom unitÃł +ê³ ¤ +ĠNg Ãłi +สà¸ĩ à¸ļ +ĠmieszkaÅĦ ców +ĠÙĨ ÙĩائÙĬ +iv ité +Ġи де +Ġиде алÑĮн +ĠØ£ سبÙĪع +Ġ×Ļ ×¢×ľ +Ġ׾ ר×IJש +Ġ׾ר×IJש ×ķ׳×Ķ +ĠзапиÑģ и +ĠкоÑĢ пÑĥÑģ +วà¸ĩ ศ +วà¸ĩศ à¹Į +ĠÐĶ м +ĠÐĶм иÑĤ +ĠÐĶмиÑĤ ÑĢ +Ġkön nt +Ġböl ges +Ġbölges inde +׼ ×Ļ׼ +׼×Ļ׼ ר +ĠاÙĦØ¥ Ø«ÙĨ +ĠاÙĦإثÙĨ ÙĬÙĨ +Ġng á»Ļ +ì¹ ł +د راج +Ġu da +Ġuda ÅĤo +ìº IJ +بر ÙĨاÙħج +ĠÑģÑĥд еб +ĠÑģÑĥдеб н +Ġzun ächst +ĠEduc ación +ãģ¨ãģª ãģ£ãģ¦ãģĦãģ¾ãģĻ +Ġ×Ķ×IJ ×ŀ×Ļת×Ļ +ĠÄ° nt +ĠÄ°nt ernet +ĠcaÅĤ ego +ãĥĹãĥª ãĥ³ +Ø¥ بد +إبد اع +ĠпоÑĢ ÑĤал +à¹Ĥà¸ķ à¹ī +Ġ×Ķק ש×ķר +пл од +ĠÙħ د +ĠÙħد رÙĬد +×ŀסע ×ĵ×Ķ +ĠØ´ÙĬ ئ +ĠØ´ÙĬئ ا +à¸ģà¹Īà¸Ń สรà¹īาà¸ĩ +Ġì°¸ ê³ł +à¹Ģà¸Ĺ ร +à¹Ģà¸Ĺร à¸Ķ +Ġ×ij×ŀ קר×Ļ×Ŀ +Ġb ât +Ġbât iment +åij¼ ãģ³ +ç´ł æķµ +ç´łæķµ ãģª +przedsiÄĻbior st +przedsiÄĻbiorst w +Ġ×ł×ª ×ķ׳×Ļ×Ŀ +×Ĺ׾ ×ķ×Ŀ +ร วย +Ùħ ÙĪضÙĪع +ĠÑģоб ÑĢан +вед ÑĥÑī +ĠÑĤе аÑĤ +ĠÑĤеаÑĤ ÑĢ +m eye +meye ceÄŁi +Ġpien iÄħ +ĠpieniÄħ d +ĠpieniÄħd ze +ÑĢез иденÑĤ +ØŃ ØµØ± +ìĺ ¥ +à¹Ģย ืà¸Ńà¸Ļ +ĠÑĥ ни +ĠÑĥни веÑĢ +ĠÑĥнивеÑĢ Ñģ +ĠÑĥнивеÑĢÑģ иÑĤеÑĤ +ĠاÙĦر ØŃ +ĠاÙĦرØŃ ÙħÙĨ +ĠÑĤеÑħ нолог +ĠÑĤеÑħнолог ии +ìĹIJ ëĦĪ +ìĹIJëĦĪ ì§Ģ +Ġíķ Ń +ĠíķŃ ìĥģ +à¸ĺ า +à¸ĺา à¸ķุ +ĠEspañ ol +×ĵ×Ĵ ש +Ġêµ ī +Ġêµī ìŀ¥ +Ġêµīìŀ¥ íŀĪ +ĠÅĤ at +ĠÅĤat wo +Ġk á»ĭch +Ø¥ ز +إز اÙĦØ© +ĠдейÑģÑĤв ие +ĠsaÄŁ layan +สุà¸Ķ ยà¸Ńà¸Ķ +Ġzosta Äĩ +Ġdispon ÃŃvel +ïº į +ver ständ +verständ lich +tw or +twor zyÄĩ +ع جز +à¹Ģà¸Ĥ à¹īม +ยà¹Ī à¸Ńม +Ġstrat ég +Ġstratég ie +à¸ľà¸¥ à¹Ħมà¹ī +Ġê°ģ ì¢ħ +ĠÙħ ÙĪا +ĠÙħÙĪا ض +ĠÙħÙĪاض ÙĬع +اØŃ ØªØ¬ +اØŃتج اج +Ġ Ấ +ĠẤ n +×ŀ ×ŀש׾×Ķ +ĠÅŁek il +×ŀ ×Ĺ׾ +×ŀ×Ĺ׾ ×ķת +Ġ à¸ĺ +Ġà¸ĺ ัà¸Ļ +Ġà¸ĺัà¸Ļ วา +Ġà¸ĺัà¸Ļวา à¸Ħม +Ġìĭ¤ ìłľ +Ġìĭ¤ìłľ ë¡ľ +ì¤ij ìķĻ +ëįĶ ëĿ¼ +ĠÑĪ иÑĢ +ĠÑĪиÑĢ око +Ġsol ución +วาà¸ĩ à¹ģà¸ľà¸Ļ +×IJ×ķ×ĺ ×ķ×ŀ +×IJ×ķ×ĺ×ķ×ŀ ×ĺ×Ļ +ĠÑĢ еÑģÑĤ +ĠÑĢеÑģÑĤ оÑĢ +ĠÑĢеÑģÑĤоÑĢ ан +ëį ¸ +ÑĤ ÑĢад +ÑĤÑĢад и +ÑĤÑĢади ÑĨион +ÑĤÑĢадиÑĨион н +มะ à¹Ģรà¹ĩ +มะà¹Ģรà¹ĩ à¸ĩ +à¹Ĥ ส +Ġol masını +×ŀ×ķס ר +ĠоÑĤноÑĪ ении +Ġê°ĢëĬ¥ ìĦ± +Ġy uk +Ġyuk arı +ìĨ Ķ +ĠÑģ ÑĦ +ĠÑģÑĦ еÑĢе +Ġק ×ķפ +ãĤ± ãĥ¼ãĤ +ãĤ±ãĥ¼ãĤ Ń +âĢķ âĢķ +ĠاÙĦØ£ ÙĦÙħ +ĠاÙĦØ£ÙĦÙħ اÙĨÙĬ +Ả N +ת×ķ׼ ׳×Ļ×ķת +ĠÑģÑĥÑīеÑģÑĤв ÑĥеÑĤ +æĪij ãĢħ +ĠاÙĦص ادر +ĠTr á»įng +Ġа д +Ġад миниÑģÑĤ +ĠадминиÑģÑĤ ÑĢа +ĠадминиÑģÑĤÑĢа ÑĨи +ĠдÑĢÑĥг ими +Ñģп еÑĪ +عÙĦاÙħ ات +Ġа б +Ġаб Ñģол +ĠабÑģол ÑİÑĤ +ĠабÑģолÑİÑĤ но +ฤ à¸Ķู +é tr +étr anger +нÑı ÑĤи +нÑıÑĤи е +×¢ ×ķ׳ +×¢×ķ׳ ש +ĠÙĤ ائ +ĠÙĤائ ÙĦا +Ġм аÑģ +ĠмаÑģ ло +ãĥī ãĤ¤ +ãĥīãĤ¤ ãĥĦ +å¿ħè¦ģ ãģĮãģĤãĤĬãģ¾ãģĻ +×ŀ×ķ×ĸ ×Ļ×IJ +×ŀ×ķ×ĸ×Ļ×IJ ×ķף +ĠNgo ại +Ġkê nh +à¸ģาร à¸Ńà¸Ńà¸ģà¹ģà¸ļà¸ļ +×ŀ פק +×ŀפק ×ĵ +ÙħÙĨ از +ÙħÙĨاز ÙĦ +ë· ° +íĹ ¤ +ÙħÙĩ ارات +Ġpropri été +פ×Ĵ ×Ļש×Ķ +Ñĩ ÑĢ +ÑĩÑĢ еж +ÑĩÑĢеж ден +×Ķ ×ķצ×IJ×Ķ +ØŃÙĥ ÙĬÙħ +ĠíĻ Ī +ĠíĻĪ íİĺìĿ´ì§Ģ +åİ ³ +åݳ ãģĹãģĦ +×¢ ×ŀ×ĵ×Ķ +ĠAu ÃŁen +سÙĪ Ø¡ +ë¹ Ī +ĠÙĪ Ø® +ĠÙĪØ® اصة +ин ÑĤеÑĢ +инÑĤеÑĢ еÑģ +èĩ´ ãģĹãģ¾ãģĻ +Ġhük üm +à¹Ħà¸Ĥ มัà¸Ļ +Ġdav ran +Ġdavran Ä±ÅŁ +à¹Ģà¸ķ ียà¸ĩ +в ÑĢем +вÑĢем енно +à¹Ģà¸Ĺศ à¸ģา +à¹Ģà¸Ĺศà¸ģา ล +å¼ķ ãģ£ +å¼ķãģ£ è¶ĬãģĹ +×IJר ×ķ×Ĺ +×IJר×ķ×Ĺ ×ª +à¹Ģ วิ +à¹Ģวิ รà¹Į +à¸Ńยà¹Īาà¸ĩ รวà¸Ķà¹Ģรà¹ĩว +ĠìŬ íĸī +ĠÑĢан ÑĮ +ĠÑĢанÑĮ ÑĪе +Ġzob ow +Ġzobow iÄħ +ĠzobowiÄħ z +Ġ×ķ׼ ×ŀ×ķ×ijף +ĠاÙĦÙħ Ùĩ +ĠاÙĦÙħÙĩ ÙĨÙĬ +ãĤ¢ ãĤ¸ +ãĤ¢ãĤ¸ ãĤ¢ +ë°© ìĨ¡ +à¸Ńà¸Ńà¸ģ à¸ģำลัà¸ĩ +à¸Ńà¸Ńà¸ģà¸ģำลัà¸ĩ à¸ģาย +am éli +améli orer +å½ĵãģŁãĤĬ åīį +Ġreg elm +Ġregelm Ã¤ÃŁig +ãģĬ åĭ +ãģĬåĭ § +ãģĬåĭ§ ãĤģ +Ġm Æ°á»Ŀi +بر Ùħج +ĠNat ürlich +ĠD Å©ng +ĠاÙĦر جاÙĦ +Ġthé p +Ġol muÅŁtur +×ŀ×ķס ×Ļק×Ķ +f älle +주 íĥĿ +ĠاÙĦÙģ رص +Ġnaj wiÄĻks +ĠnajwiÄĻks zy +Ġça ÄŁ +ĠçaÄŁ rı +ì¸ ł +ĠvÃŃ ct +ĠvÃŃct ima +ĠÑģовеÑĢ ÑĪен +×Ķ×Ļ ×Ļת×Ļ +à¹Ģà¸Ķ ี +à¹Ģà¸Ķี à¹ĭ +à¹Ģà¸Ķีà¹ĭ ยว +ü yü +Ġд оп +Ġдоп олн +Ġдополн иÑĤелÑĮно +à¹ģà¸ķà¸ģà¸ķà¹Īาà¸ĩ à¸ģัà¸Ļ +Ġá l +Ġál bum +à¸Ľà¸£à¸°à¸Īำ à¸Ľà¸µ +ĠÑĦ едеÑĢ +ĠÑĦедеÑĢ алÑĮн +Ġobs ÅĤ +ĠobsÅĤ ugi +à¹Ģร ืà¹Ī +à¹Ģรืà¹Ī à¸Ńย +à¹Ģรืà¹Īà¸Ńย à¹Ĩ +ëģ Į +Ġngh ìn +ĠBaÅŁkan lıģı +تأ سÙĬ +تأسÙĬ س +Ġ×ij×ij ×ķקר +Ġ×¢×ij×ķ×ĵ ×ķת +Ġبص ÙĪرة +ãĤıãģij ãģ§ãģ¯ãģªãģĦ +führ er +ãĤ¹ ãĤŃ +ãĤ¹ãĤŃ ãĥ« +ĠاÙĦÙĤ ض +ĠاÙĦÙĤض ÙĬØ© +Ġдолж ноÑģÑĤ +Ùģار ÙĤ +Ġcomeç ou +Ġorganis é +Ġxu ân +ĠÑģообÑī аеÑĤ +ĠпÑĢи д +ĠпÑĢид еÑĤÑģÑı +TÃľ RK +ãĥ¬ ãĥ¼ãĤ·ãĥ§ãĥ³ +Kh ông +است Ùģ +استÙģ ادة +ä¸ĬãģĮ ãģ£ãģ¦ +Ġum ie +Ġumie jÄĻ +ĠumiejÄĻ tn +ĠumiejÄĻtn oÅĽci +ëĤ ¸ +à¹Ģà¸Ļ à¸Ńรà¹Į +×ĵ×ķ ×ķ×Ĺ +ÃŃs imo +I ÃĬ +IÃĬ N +Ġalcan ç +Ġ à¸ķุ +Ġà¸ķุ ลา +Ġà¸ķุลา à¸Ħม +ש׾ ×ĺ×ķף +Ġél è +Ġélè ves +ĠÄij u +ĠÄiju á»ķi +ĠØ£ Ùģ +ĠØ£Ùģ رÙĬ +ĠØ£ÙģرÙĬ ÙĤÙĬ +ĠØ£ÙģرÙĬÙĤÙĬ ا +ãĤĴæİ¢ ãģĻ +ĠпÑĢед ложениÑı +ج اد +ĠÑħоÑĤ ÑĮ +Ñģ ал +Ñģал он +à¸Ľà¸£à¸° à¹Ģม +à¸Ľà¸£à¸°à¹Ģม ิà¸Ļ +ãĤŃ ãĥĥãĥģ +ãĤŃãĥĥãĥģ ãĥ³ +×ij×ĵ×Ļק ×ķת +Ġch ù +Ġchù a +ÐĴ иде +ÐĴиде о +иÑĢов ка +ĠÑħоÑĤ иÑĤе +Ġspéc ifique +รส à¸Ĭาà¸ķิ +è¾¼ ãĤĵãģł +伸 ãģ³ +×Ķצ׾ ×Ĺת +ãģ©ãģ® ãĤĪãģĨãģ« +سع ادة +Ġл ид +Ġлид еÑĢ +ม à¸ĩ +มà¸ĩ à¸Ħล +ØŃ Ø§ÙħÙĦ +หล ุà¸Ķ +à¸Ńยà¹Īาà¸ĩ à¸ķà¹Īà¸Ń +à¸Ńยà¹Īาà¸ĩà¸ķà¹Īà¸Ń à¹Ģà¸Ļืà¹Īà¸Ńà¸ĩ +ãģķãģĽãģ¦ éłĤ +تس ÙĪÙĬ +تسÙĪÙĬ ÙĤ +ĠaÅŁaģı d +ĠaÅŁaģıd aki +ĠÑĨ елÑĮ +ĠÑĨелÑĮ Ñİ +ĠAra ÅŁtırma +à¸Ĥัà¸ļ รà¸ĸ +Ùĩ Ø°Ùĩ +ลà¸ĩ à¸Ĺะ +ลà¸ĩà¸Ĺะ à¹Ģà¸ļ +ลà¸ĩà¸Ĺะà¹Ģà¸ļ ียà¸Ļ +تÙĥ اÙħÙĦ +Ġc io +Ġcio è +ãģ¦ ãģĬãģı +ĠاÙĦصØŃ ÙģÙĬ +ĠíĬ¹ ìłķ +полн иÑĤÑĮ +ãĤĵ ãģĺãĤĥãģªãģĦ +ãĤĵãģĺãĤĥãģªãģĦ ãģĭ +ĠاÙĦج Ùĩ +ĠاÙĦجÙĩ ات +ĠÑĥÑģпеÑĪ но +Ġв ок +Ġвок ÑĢÑĥг +ĠÑģиÑĤÑĥ аÑĨиÑı +Ġ×Ķ×IJ ×ŀר +Ġ×Ķ×IJ×ŀר ×Ļק +Ġ×Ķ×IJ×ŀר×Ļק ×IJ×Ļ +×ŀ ×Ĵ×ĸ +×ŀ×Ĵ×ĸ ×Ļף +Ġак ÑĤÑĥ +ĠакÑĤÑĥ алÑĮн +é ta +éta is +Ġmog ÅĤa +ĠÑĤоÑĩ ки +Ġ×ŀ×Ķ ×ŀ×¢ +Ġ×ŀ×Ķ×ŀ×¢ ×¨×Ľ×ª +มี à¸Ľà¸£à¸°à¸ªà¸´à¸Ĺà¸ĺà¸´à¸łà¸²à¸ŀ +×Ļר ×Ļ×ĵ×Ķ +×Ĵר ×ŀ׳ +×Ĵר×ŀ׳ ×Ļ×Ķ +Ġг лав +Ġглав ное +Ġ미 ëŀĺ +Ġ׳׼ ×ķ׳×Ķ +ĠÙĪ Ø·ÙĨÙĬ +op port +opport unitÃł +Ġh ủy +ĠÙĦ تØŃ +ĠÙĦتØŃ ÙĤÙĬÙĤ +Ġó rg +Ġórg ão +ãĤ¹ ãĥĶ +ãĤ¹ãĥĶ ãĥ¼ãĥī +Ġön ü +Ġönü ne +Ùħع اÙħÙĦ +ש×ŀ ×Ļר×Ķ +ĠвеÑģÑĮ ма +ĠwiÄĻks zo +ĠwiÄĻkszo ÅĽÄĩ +Ġاست راتÙĬج +ĠاستراتÙĬج ÙĬØ© +ĠÙģ Ø¥ +ĠÙģØ¥ ذا +à¹Ģà¸Ĭืà¹Īà¸Ń ม +à¹Ģà¸Ĭืà¹Īà¸Ńม à¸ķà¹Īà¸Ń +Ġ׾ פר +Ġ׾פר ×ĺ×Ļ×Ŀ +Ùħض ÙĬ +ĠGer çek +Ġçocuk ların +ÙĪØ« ائÙĤ +ĠÙħساء Ùĭ +Ġunterstüt zt +Ġpré st +Ġprést amo +ĠÐłÐ°Ð· меÑĢ +ĠÅŁ eker +Ġsé culo +×ij×Ķ ×Ļר +Ø´Ùĩ ÙĪر +Ġ à¸Ńีà¸ģ +Ġà¸Ńีà¸ģ à¸Ĺัà¹īà¸ĩ +Ġlleg ó +à¸¨à¸´à¸¥à¸Ľ ะ +æĪij ãģĮ +æĪijãģĮ 家 +ع ÙĤÙĪ +عÙĤÙĪ بات +ĠF älle +Ġs ÅĤuż +ĠsÅĤuż b +ĠاÙĦØŃÙĤ ÙĪÙĤ +Ġпл иÑĤ +Ġи ноÑģÑĤ +ĠиноÑģÑĤ ÑĢан +ĠиноÑģÑĤÑĢан н +à¹ĥà¸Ļ à¸Ĥà¸ĵะà¸Ĺีà¹Ī +ãĤ« ãĥĨ +ãĤ«ãĥĨ ãĤ´ +ãĤ«ãĥĨãĤ´ ãĥª +à¸Ńิ ส +à¸Ńิส ระ +à¹Ģà¸ľà¸¢ à¹ģ +à¹Ģà¸ľà¸¢à¹ģ à¸ŀร +à¹Ģà¸ľà¸¢à¹ģà¸ŀร à¹Ī +ãģĬ ãģĦ +ãģĬãģĦ ãģĹãģĦ +است ÙĤÙĦ +استÙĤÙĦ اÙĦ +تØŃ Ø¶ +تØŃض ÙĬر +åĬ© ãģij +Ùħر اÙģÙĤ +Ġ×ĵ ×ķר +Ġ×ĵ×ķר ש +×ŀת×Ļ ×Ļ×Ĺס +ס ×Ļ׼ +ס×Ļ׼ ×ķ×Ŀ +íĮĮ íĬ¸ +Ġwy ÅĽ +ĠwyÅĽ w +ĠwyÅĽw iet +ĠwyÅĽwiet l +ĠاÙĦاÙĨ ساÙĨ +ĠStra ÃŁen +ï¼ ¬ +ãģ« åŁº +ãģ«åŁº ãģ¥ +Ġcap ÃŃtulo +ลุ ย +Ġ×Ķ×ŀק צ×ķ×¢×Ļ +ãģĤãĤĭ ç¨ĭ度 +á» ¢ +ĠاÙĦ ÙĦا +ĠاÙĦÙĦا زÙħØ© +æķĻ ãģĪ +Ġרש ×IJ×Ļ +з ав +зав иÑģ +завиÑģ им +à¸Ľà¸±à¸Ī à¸Īัย +à¹Ģà¸ĭ ล +à¹Ģà¸ĭล ลà¹Į +Ġdiffé rence +ĠAlt ın +Ġк ÑĢай +ĠкÑĢай не +Ġз ло +Ġgün ümüz +Ġн аÑĤÑĥÑĢ +ĠнаÑĤÑĥÑĢ алÑĮн +×Ĵ×ķ׾ ש×Ļ×Ŀ +Ġк аÑĤегоÑĢ +ĠкаÑĤегоÑĢ ии +Ġз нак +à¸ģà¹Īà¸Ńà¸Ļ หà¸Ļà¹īา +à¸ģà¹Īà¸Ńà¸Ļหà¸Ļà¹īา à¸Ļีà¹ī +ĠÙħÙĨ ت +ĠÙħÙĨت خب +ãĥĽ ãĥ¼ãĥ« +Ġе вÑĢо +ส ว +สว ม +ĠìľĦ ìĽIJ +ĠìľĦìĽIJ ëĭĺ +ĠاÙĦØŃ ÙĪØ« +ĠاÙĦØŃÙĪØ« ÙĬ +ĠÑģодеÑĢж иÑĤ +ãĥķãĤ¡ ãĥĥãĤ·ãĥ§ãĥ³ +Ġ à¸ģัà¸Ļ +Ġà¸ģัà¸Ļ ย +Ġà¸ģัà¸Ļย ายà¸Ļ +ãĤª ãĥª +ãĤªãĥª ãĤ¸ +ãĤªãĥªãĤ¸ ãĥĬãĥ« +Ġб ÑĢенд +ãĤĴæĮģ ãģ£ãģ¦ãģĦãĤĭ +Ġinvers ión +Ġê° ĸ +Ġê°ĸ ê³ł +Ġnov itÃł +ê´Ģ ê´ij +Ġà¸ŀ ฤษ +Ġà¸ŀฤษ à¸łà¸² +Ġà¸ŀà¸¤à¸©à¸łà¸² à¸Ħม +×ķר ×Ĺ×Ļ×Ŀ +׼׾ ×ķ׾ +Ġng ạc +×Ļ ×Ļש +×Ļ×Ļש ×ķ×ij +f äll +fäll ig +ĠÑĤÑĢеб ÑĥеÑĤÑģÑı +Ġcar á +Ġcará cter +Ġprinc ÃŃpio +ĠÅĤ az +ĠÅĤaz ien +ĠÅĤazien k +Ġgi ãn +ÑģÑĤÑĢа ива +Ùħس اب +Ùħساب ÙĤØ© +à¹Ģà¸Ħรืà¹Īà¸Ńà¸ĩ à¸Ķืà¹Īม +ترÙĥ ÙĬب +vol ução +ĠÐŁ оÑĩ +ĠÐŁÐ¾Ñĩ ем +ĠÐŁÐ¾Ñĩем Ñĥ +казал оÑģÑĮ +ĠпÑĢимен ениÑı +à¹Ģà¸Ĺ ียม +íĮ Ķ +à¸Ĥà¹īà¸Ń à¹Ģสà¸Ļà¸Ń +à¸Ľà¸±à¸į à¸įา +Ġоб ÑĥÑĩ +ĠобÑĥÑĩ ениÑı +ĠÑģеÑĢ и +ĠÑģеÑĢи ал +Ġingl és +ĠÙĦ Ùĥرة +Ġ×ĺ ׾ +Ġ×ĺ׾ פ×ķף +Ġìł ij +Ġìłij ê·¼ +×IJ ×ķ×Ĵ +×IJ×ķ×Ĵ ×ķס +×IJ×ķ×Ĵ×ķס ×ĺ +ĠболÑĮÑĪ ое +ĠÐļон еÑĩно +×¢×Ļת ×ķ׳ +×¢×Ļת×ķ׳ ×IJ×Ļ +Ġкноп к +Ġз н +Ġзн аÑĤÑĮ +ĠÄij á»± +ĠÄijá»± ng +вл аж +влаж н +×ŀ ×Ļ×ĺ×ij +ãĤ¬ ãĤ¤ +ãĤ¬ãĤ¤ ãĥī +........ .. +Ġà¸ģ ุม +Ġà¸ģุม à¸łà¸²à¸ŀ +Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀ ัà¸Ļ +Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀัà¸Ļ à¸ĺ +Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀัà¸Ļà¸ĺ à¹Į +be z +bez pieczeÅĦst +bezpieczeÅĦst w +ãĥijãĥij æ´» +ع اط +عاط Ùģ +ĠÄij áºŃm +Ġз ÑĢ +ĠзÑĢ ениÑı +Ġbor ç +Ġнед ел +Ġнедел Ñİ +Ġh á»ı +Ġhá»ı ng +ìŀ¥ ìķł +ìŀ¥ìķł ìĿ¸ +ĠاÙĦع ÙĦاÙĤØ© +Ġíģ ¬ +Ġíģ¬ ê²Į +à¹Ħร à¹Ī +à¸ļา à¸Ķ +à¸ļาà¸Ķ à¹Ģà¸Īà¹ĩà¸ļ +à¸Ŀ รั +à¸Ŀรั à¹Īà¸ĩ +à¸Ŀรัà¹Īà¸ĩ à¹Ģศ +à¸Ŀรัà¹Īà¸ĩà¹Ģศ ส +ר ×¢×Ļ +רע×Ļ ×ķ׳×ķת +Ġë Į +ĠëĮ ĵ +ĠëĮĵ ê¸Ģ +Ġnaj b +Ġnajb li +Ġnajbli ż +Ġnajbliż sz +ĠиÑģполÑĮз ÑĥеÑĤÑģÑı +Ġcient ÃŃf +ĠcientÃŃf ico +×¢ ×ŀק +Ġg ợi +Ø´ ØŃÙĨ +ĠÅĽ m +ĠÅĽm ier +ĠÅĽmier ci +à¸Ħาสิà¹Ĥà¸Ļ à¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļà¹Į +×Ĺש×ij ת×Ļ +Ġn ingu +Ġningu ém +è¾¼ ãĤģ +ãģ · +ĠÑĥ г +ĠÑĥг ол +ï½ ° +פת ×Ļ×Ĺ +פת×Ļ×Ĺ ×ª +Ġ×Ķר×IJש ×ķ׳×Ļ×Ŀ +p ósito +ãĤŃ ãĥ¬ãĤ¤ +ãģ© ãģĵãĤį +à¹Ģà¸Ĺà¹Īา à¹Ħ +à¹Ģà¸Ĺà¹Īาà¹Ħ หร +à¹Ģà¸Ĺà¹Īาà¹Ħหร à¹Ī +ĠинÑĤеÑĢ ÑĮеÑĢ +ĠØŃ Ø§Ø¬ +ĠØŃاج Ø© +สี à¸Ĥาว +ìĸ ¼ +Ġn á»Ļ +Ġná»Ļ p +ĠÃŃ nd +ĠÃŃnd ice +สำ รวà¸Ī +Ġкажд ой +Ġhot éis +Ġnast ÄĻ +ĠnastÄĻ pn +Ġ×Ķק ×ķ×ĵ +Ġ×Ķק×ķ×ĵ ×Ŀ +פ ×ķפ +פ×ķפ ×ķ׾ +פ×ķפ×ķ׾ ר×Ļ +вÑĪ ей +ãĤ·ãĥ³ ãĥĹ +ãĤ·ãĥ³ãĥĹ ãĥ« +ĠzdjÄĻ Äĩ +ĠгÑĢÑĥпп а +Ġпом еÑī +ĠпомеÑī ениÑı +ãģ©ãģĨ ãģĦãģĨ +ĠиÑģп ÑĭÑĤа +Ġog ÅĤ +ĠogÅĤ os +ĠogÅĤos zen +ĠogÅĤoszen i +สรà¹īาà¸ĩ สรร +สรà¹īาà¸ĩสรร à¸Ħà¹Į +à¸ŀร รà¸ĵ +Ġçık Ä±ÅŁ +ĠÑĩаÑģÑĤ ноÑģÑĤи +Ġ×ķ ×Ļ×ķתר +ç¶ļãģį ãĤĴ +ç¶ļãģįãĤĴ èªŃ +ç¶ļãģįãĤĴèªŃ ãĤĢ +à¸ģร ั +à¸ģรั ม +г ÑĢаÑĦ +Ġв лад +Ġвлад елÑĮ +ĠвладелÑĮ ÑĨ +Ġistedi ÄŁ +ĠistediÄŁ iniz +×ij׾ ×¢ +×ij×ľ×¢ ×ĵ×Ļ +ÙħÙĪ اÙģ +ÙħÙĪاÙģ ÙĤØ© +Ġ×Ļ ×ķר +Ġ×Ļ×ķר ק +ãĤ«ãĥ¼ãĥī ãĥŃãĥ¼ãĥ³ +ĠاÙĦÙħØ´ ÙĥÙĦ +ĠاÙĦÙħØ´ÙĥÙĦ Ø© +ĠêµŃ íļĮ +ס פ×ĺ +ספ×ĺ ×ŀ +ספ×ĺ×ŀ ×ijר +Ġìĸ´ ëłµ +Ùĥ اÙħ +ÙĥاÙħ ÙĬرا +sch lü +schlü sse +ĠØ« ÙĨ +ĠØ«ÙĨ ائÙĬ +ìī ½ +ĠÐŀ Ñģоб +ĠÐŀÑģоб енно +Ġин веÑģÑĤи +ĠинвеÑģÑĤи ÑĨи +اØŃ ØªÙħ +اØŃتÙħ اÙĦ +E Äŀ +EÄŀ Ä° +íķĺ ê²łëĭ¤ +Ġ×IJ ×ijר×Ķ +Ġ×IJ×ijר×Ķ ×Ŀ +Ġ×ij×Ĺ ×Ļ׳×Ŀ +Ø£ ÙĪض +Ø£ÙĪض اع +Ġdé l +Ġdél ai +Ġ×IJ×ķ×Ķ ×ij×Ļ×Ŀ +ĠÑģо Ñħ +ĠÑģоÑħ ÑĢ +ĠÑģоÑħÑĢ ани +ĠдоÑģÑĤ иж +ĠдоÑģÑĤиж ени +สิà¹Īà¸ĩ à¹ģ +สิà¹Īà¸ĩà¹ģ วà¸Ķ +สิà¹Īà¸ĩà¹ģวà¸Ķ ล +สิà¹Īà¸ĩà¹ģวà¸Ķล à¹īà¸Ńม +ĠاÙĦÙħ باشر +ĠÑĦ иг +ĠÑĦиг ÑĥÑĢ +мож ем +׾×ŀ×Ļ×ĵ ×Ķ +Ġcin é +Ġciné ma +Ġb ada +Ġbada ÅĦ +جب ÙĩØ© +Ġд еп +Ġдеп ÑĥÑĤ +ĠдепÑĥÑĤ аÑĤ +Ġdist ância +ĠاÙĦÙħ عار +ĠاÙĦÙħعار ضة +thè se +ü nc +ünc ü +Ġдан ного +ĠBel gi +ĠBelgi ë +Ġ×ij ×ijק +Ġ×ij×ijק ש×Ķ +ย à¹Īาà¸Ļ +Ġsol ução +Ġ×Ķצ ×ĺר +Ġ×Ķצ×ĺר פ×ķ +ĠØ£ÙĨ ØŃ +ĠØ£ÙĨØŃ Ø§Ø¡ +Ġد ÙħØ´ +ĠدÙħØ´ ÙĤ +มั à¹ī +มัà¹ī ย +Ùħ غرب +است عÙħاÙĦ +ĠS ÅĤow +ĠëıĻ ìĭľ +ĠëıĻìĭľ ìĹIJ +ĠÑģ оÑģ +ĠÑģоÑģ ед +ì²Ń ìĨĮ +ì²ŃìĨĮ ëħĦ +Ġг ÑĢаÑĦ +ĠгÑĢаÑĦ ик +Ġìŀij ìĿĢ +Ġyet i +Ġyeti ÅŁtir +ĠìĿ´ê²ĥ ìĿ´ +ห à¹Īาà¸ĩ +Ø¥ ÙħÙĥاÙĨ +Ø¥ÙħÙĥاÙĨ ÙĬØ© +است عراض +ÙħØ® در +ĠÑĩ ÑĥÑĤÑĮ +Ùħ دÙĬر +ÙħدÙĬر ÙĬØ© +Ġà¹Ģม ษ +Ġà¹Ģมษ ายà¸Ļ +Ġм еÑħ +ĠмеÑħ аниз +ĠмеÑħаниз м +ĠÑģ Ñĥм +ĠÑģÑĥм мÑĥ +Ġv ö +Ġvö ll +Ġvöll ig +Ġд ÑĢÑĥз +ĠдÑĢÑĥз ÑĮÑı +ãĤĴåĪ©çĶ¨ ãģĹãģ¦ +à¸ļรร à¸Īุ +po życz +×ŀש ׼ +×ŀש׼ ×ł×ª +×ŀ×©×Ľ×ł×ª ×IJ +Ġeuropé en +Ġpropri é +Ġproprié taire +Ġkh ấu +ãģĦãģŁãģł ãģijãĤĭ +Ġtec rü +Ġtecrü be +×Ķ ×ij +×Ķ×ij ׳×Ķ +Ġcu Ì +ĠcuÌ ī +ĠcuÌī a +×IJ ×ķ×ķ +×IJ×ķ×ķ ×Ļר×Ķ +Ġ׼×ķ׾ ×ķ +U lus +Ulus lararası +Ġ׳ ×ķת +Ġ׳×ķת ף +ãģ« åIJij +ãģ«åIJij ãģijãģ¦ +ë¹ Ľ +à¸Ĺ ัà¸ģษ +à¸Ĺัà¸ģษ ะ +س ÙĤÙĪ +سÙĤÙĪ Ø· +Ġв н +Ġвн еÑĪ +ĠвнеÑĪ не +Ġur z +Ġurz ÄĻd +Ġá mb +Ġámb ito +à¸Ń à¸ĺิ +à¸Ńà¸ĺิ à¸ļาย +Ġ ÅĤad +ĠÅĤad n +ê±´ ì¶ķ +wód zt +wództ w +Ġquest ões +Ġש ק +Ġשק ×Ļ×ij׾ +Ġmiejsc owoÅĽci +Ġв ал +Ġвал ÑİÑĤ +hä user +หà¸Ļ à¸Ńà¸ĩ +ãģ¨ åħ± +ãģ¨åħ± ãģ« +ãĥı ãĥ¼ãĥī +Ġê°ľ ìµľ +ĠоÑģнов ном +Ġм ÑıÑģ +اع ت +اعت ÙĤاÙĦ +สà¸ĸ ิ +สà¸ĸิ à¸ķิ +N gu +Ngu á»ĵn +ĠÙħ جÙĦ +ĠÙħجÙĦ Ø© +à¹ģà¸Ĥ à¸Ļ +ĠاÙĦÙĦÙĬ بÙĬ +פע×Ļ׾ ×ķ×Ļ×ķת +Ġ×Ķר פ×ķ×IJ×Ļ +פר ×ķפ +פר×ķפ ×Ļ׾ +ק ׾×IJ +ק׾×IJ ס×Ļ +Ùĥت Ø´Ùģ +ãģ«ãģª ãģ£ãģ¦ãģĹãģ¾ãģĨ +à¹Ģà¸Ħล à¹ĩà¸Ķ +à¹Ģà¸Ħลà¹ĩà¸Ķ ลัà¸ļ +Ġì» ´ +Ġì»´ íĵ¨ +Ġì»´íĵ¨ íĦ° +Ġ×Ĺ×Ļ ×ķ×ij×Ļ +Ġnä m +Ġnäm lich +åij¼ ãģ° +åij¼ãģ° ãĤĮ +ĠÑĢ ол +ĠÑĢол и +Ġspécial isé +à¸Ļ วัà¸ķ +à¸Ļวัà¸ķ à¸ģรรม +ÙĨص ÙĪص +пеÑĢ ед +пеÑĢед аÑĩ +thè que +Ġר×IJ ×Ļת×Ļ +ãĥĢ ãĤ¦ãĥ³ +ãĤı ãģĭ +ãĤıãģĭ ãģ£ãģ¦ +беÑĢ еж +ĠÑģ ек +ĠÑģек ÑĢ +ĠÑģекÑĢ еÑĤ +ĠпоÑģÑĤоÑıн н +à¸Ĥà¸Ļ สà¹Īà¸ĩ +Ġm ük +Ġmük em +Ġmükem mel +еÑĤ еÑģÑĮ +ĠاÙĦسÙĨ ÙĪات +ĠìłĦ íĺĢ +Ġ×Ķ×ŀק ×ķר×Ļ +Ġmü d +Ġmüd ah +Ġmüdah ale +Ġwy b +Ġwyb ór +Ġtend ência +Ø¥ دار +إدار ÙĬØ© +Ġunterstüt zen +ת ×ijר +ת×ijר ר +Ġdi á +Ġdiá logo +ĠÃĸ nce +ĠÃĸnce ki +ãĤ¹ãĥĿ ãĥĥãĥĪ +ëĦ £ +ĠG eli +ĠGeli ÅŁ +ãĤĴ éĢļ +ãĤĴéĢļ ãģĹãģ¦ +ĠFuÃŁ ball +Ġsal ari +Ġsalari é +ĠпÑĢодÑĥк ÑĤов +صÙģ ÙĤØ© +รว à¸ļ +รวà¸ļ รวม +à¹ĥà¸Ļ à¸IJาà¸Ļ +à¹ĥà¸Ļà¸IJาà¸Ļ ะ +Ġkay na +Ġkayna ģı +Ġìŀij íĴĪ +ĠвÑĭ ÑĢаж +ĠвÑĭÑĢаж ен +ĠÑģÑĤ еп +ĠÑģÑĤеп ени +ĠاÙĦÙħ ÙĪجÙĪد +ĠاÙĦÙħÙĪجÙĪد Ø© +ล à¹īม +Ġnaj czÄĻ +ĠnajczÄĻ ÅĽcie +ĠnajczÄĻÅĽcie j +Ġz wy +Ġzwy k +Ġzwyk ÅĤ +Ġê·¸ëłĩ ì§Ģ +à¸ģระ à¸Ī +à¸ģระà¸Ī าย +Ġëĭ µ +Ġëĭµ ë³Ģ +ĠÑĢе ак +ĠÑĢеак ÑĨи +ĠÅĽwie ż +ĠÑģÑĤоим оÑģÑĤи +ÙħÙĨ اÙĤ +ÙħÙĨاÙĤ Ø´ +ÙħÙĨاÙĤØ´ Ø© +ĠÑħоÑĩ Ñĥ +ãĥľ ãĥ¼ãĥī +Ġróż nic +Ġк ÑĢÑĭ +ĠкÑĢÑĭ ÑĪ +âľ ĵ +ãĤ³ãĥ³ ãĥĨãĥ³ +ãĤ³ãĥ³ãĥĨãĥ³ ãĥĦ +ĠпÑĢед поÑĩ +×ŀר ×ij×Ļת +ĠØ´ Ùĥ +ĠØ´Ùĥ را +Ġд ал +Ġдал ек +Ġдалек о +بر ÙĬØ· +برÙĬØ· اÙĨÙĬا +ع ÙĨا +عÙĨا ÙĬØ© +ĠÑĢаÑģÑģ каз +ĠÑĢаÑģÑģказ Ñĭва +Ø£ ÙĦÙĪ +Ø£ÙĦÙĪ اÙĨ +æĮģ ãģ£ãģ¦ +æĮģãģ£ãģ¦ ãģĦ +Ùħباد ئ +×Ķ ×¢×ijר +×Ķ×¢×ijר ת +Ġyay ı +Ġyayı ml +Ġyayıml a +m át +mát icos +à¸ģ ัà¸ĩ +à¸ģัà¸ĩ วล +Ġ׾ פת +Ġ×ľ×¤×ª ×ķ×Ĺ +à¸ŀฤ à¸ķิ +à¸ŀฤà¸ķิ à¸ģรรม +í Ĥ¬ +Ġок ÑĢÑĥг +Ġ×ŀצ ×ķ×ķ×Ķ +ÐĽ ени +ÐĽÐµÐ½Ð¸ н +ĠTri á»ģu +ãĤ³ãĥŁ ãĥ¥ +ãĤ³ãĥŁãĥ¥ ãĥĭ +ãĤ³ãĥŁãĥ¥ãĥĭ ãĤ± +ãĤ³ãĥŁãĥ¥ãĥĭãĤ± ãĥ¼ãĤ·ãĥ§ãĥ³ +Ùĥ ÙĨÙĬ +ÙĥÙĨÙĬ سة +ãĤĴ ä¸Ńå¿ĥ +ãĤĴä¸Ńå¿ĥ ãģ« +ĠmiÄĻd z +ĠmiÄĻdz yn +ĠmiÄĻdzyn ar +ĠmiÄĻdzynar od +ĠmiÄĻdzynarod ow +ÙĦ ÙĨ +ÙĦÙĨ دا +بر Ø´ +برش ÙĦÙĪÙĨ +برشÙĦÙĪÙĨ Ø© +à¸ģระ à¸ķุ +à¸ģระà¸ķุ à¹īà¸Ļ +Ġg ı +Ġgı da +à¸Ľà¸£à¸° à¸Ĺัà¸ļ +à¸Ľà¸£à¸°à¸Ĺัà¸ļ à¹ĥà¸Ī +Ġë¶Ī 구 +Ġë¶Ī구 íķĺê³ł +ĠÙĨ Ø· +ĠÙĨØ· اÙĤ +ĠÐľ ожеÑĤ +Pr äs +Präs ident +ĠÑģк оÑĢ +ĠÑģкоÑĢ оÑģÑĤÑĮ +Ġ×Ķ×ij ×ķקר +еÑħ аÑĤÑĮ +Ġg ạo +Ġש×IJ ×Ļ׳×Ŀ +Ġ×ij׳ ×ķ×Ĵ +Ġ×ij׳×ķ×Ĵ ×¢ +Ġо пиÑģание +Ġucz ni +Ġuczni ów +à¹Ģà¸Ń à¹ĩà¸Ļ +Ġت Ø´ +Ġتش رÙĬÙĨ +Ġnh ãn +ë¹ ¨ +Ġcaract ère +×¢ ׾×Ļ +×¢×ľ×Ļ ×Ļ×Ķ +楽ãģĹ ãĤģãĤĭ +ĠÑģ аÑħ +ĠÑģаÑħ аÑĢ +дÑĥм аÑĤÑĮ +ĠÐĴоз можно +ص ÙĬاÙĨ +صÙĬاÙĨ Ø© +öm ür +ส ล +สล à¹ĩ +สลà¹ĩ à¸Ń +สลà¹ĩà¸Ń à¸ķ +ë¡ ¯ +Ġth ói +gr Ã¶ÃŁe +Ġksi ÄĻ +ĠksiÄĻ g +ĠÑĢ ом +ĠÑĢом ан +ÙĤ اسÙħ +×ŀ×ij ×ķ×Ĵ +×ŀ×ij×ķ×Ĵ ר×Ļ×Ŀ +bes ch +besch äft +beschäft ig +×Ķצע ×Ķ +ĠÃģ rea +ĠзаÑıв к +Ä ¹ +ĠлÑİб ого +Ġ ม +Ġม à¸ģร +Ġมà¸ģร าà¸Ħม +ÑĦ из +ÑĦиз иÑĩеÑģк +ин ÑĦ +инÑĦ ек +инÑĦек ÑĨи +اÙĦ Ø· +اÙĦØ· ائÙģ +Ġкол л +Ġколл екÑĤив +ез жа +Ġس بØŃ +ĠسبØŃ Ø§ÙĨ +ĠسبØŃاÙĨ Ùĩ +sch lä +schlä ge +Ġд и +Ġди аг +Ġдиаг ноÑģÑĤ +ĠоÑĤмеÑĤ иÑĤÑĮ +Т Ь +ĠاÙĦ در +ĠاÙĦدر اسÙĬ +עצ ×ŀ +עצ×ŀ ×IJ×ķת +Ġdém arch +Ġdémarch e +Ġ×ĺ ×ķ×¢ +Ġ×ĺ×ķ×¢ ף +Ġfuncion ários +á» µ +׾ ׼×IJ +׾׼×IJ ×ķר×Ķ +à¸ĭ à¹Ī +à¸ĭà¹Ī à¸Ńม +ĠÑĩ Ñĥв +ĠÑĩÑĥв ÑģÑĤво +âĸ ¼ +п ÑĥÑī +пÑĥÑī ен +Ġм еÑĢ +ĠмеÑĢ оп +ĠмеÑĢоп ÑĢи +ĠмеÑĢопÑĢи ÑıÑĤиÑı +Ġu çu +Ġuçu ÅŁ +ãĤĴåĪ©çĶ¨ ãģĻãĤĭ +a ÄŁ +aÄŁ lı +ìĺĪ ìĪł +à¹ģ ยà¹Ī +ĠاÙĦÙĥ Ùħ +ĠاÙĦÙĥÙħ بÙĬ +ĠاÙĦÙĥÙħبÙĬ ÙĪتر +ت ÙĪÙĬ +تÙĪÙĬ تر +à¹Ģà¸Ĭ ีà¹Īยว +à¹Ģà¸Ĭีà¹Īยว à¸Ĭา +à¹Ģà¸Ĭีà¹Īยวà¸Ĭา à¸į +á» Ķ +Ġhi ếm +ذا Ùĥرة +Ġ×Ķ×ŀ×Ļ ×ķ×Ĺ×ĵ +ĠìĪ ľ +ĠìĪľ ê°Ħ +ĠK ı +ĠKı sa +Ġgele ceÄŁi +пÑĢо ÑĦеÑģÑģиона +пÑĢоÑĦеÑģÑģиона л +Ġog ó +Ġogó le +ĠgÅĤ ów +ĠgÅĤów ne +ĠÑģÑĤ илÑĮ +×IJ פ׾ +×IJפ׾ ×Ļק +×IJפ׾×Ļק צ×Ļ×Ķ +สม ารà¹Į +สมารà¹Į à¸Ĺ +สมารà¹Įà¸Ĺ à¹Ĥà¸Ł +สมารà¹Įà¸Ĺà¹Ĥà¸Ł à¸Ļ +Ġth ánh +ÐŁ од +ÐŁÐ¾Ð´ ÑĢоб +ÐŁÐ¾Ð´ÑĢоб нее +ĠاÙĦت ÙĪÙĨ +ĠاÙĦتÙĪÙĨ سÙĬ +Ġbah çe +à¹ģà¸ģà¹ī à¸Ľà¸±à¸įหา +é ducation +eu rop +europ ä +europä ische +ĠK si +ĠKsi ÄĻ +ĠëĦ ĺ +ĠëĦĺ ìĸ´ +Ġv üc +Ġvüc ud +Ġyay g +Ġyayg ın +Ġnie kt +Ġniekt óry +Ġniektóry ch +ãģŃ ãģĩ +Ġк аж +Ġкаж еÑĤÑģÑı +к аж +каж еÑĤ +ĠاÙĦ دÙĬÙħÙĤرا +ĠاÙĦدÙĬÙħÙĤرا Ø· +ĠاÙĦدÙĬÙħÙĤراط ÙĬØ© +æŃ © +æŃ© ãģĦãģ¦ +Ġv az +Ġvaz ge +Ġvazge ç +Ġмин ималÑĮ +ĠминималÑĮ н +ãĥij ãĤ¿ +ãĥijãĤ¿ ãĥ¼ãĥ³ +Ġë Ĭ +ĠëĬ IJ +ĠëĬIJ ëĤĮ +ãģ¡ ãĤĩãģĨ +ãģ¡ãĤĩãģĨ ãģ© +Ġ à¸ģร +Ġà¸ģร à¸ģà¸İ +Ġà¸ģรà¸ģà¸İ าà¸Ħม +تج دÙĬد +ĠØ´ اÙħÙĦ +หลัà¸ģ à¸IJาà¸Ļ +ĠмаÑĢ ÑĪ +ĠмаÑĢÑĪ ÑĢÑĥÑĤ +Ġv ÃŃt +ĠvÃŃt ima +Ġquiz á +ay gı +×ĵ×ijר ×Ļ×ķ +Ġиз д +Ġизд ели +Ġиздели Ñı +п ла +пла Ñĩ +плаÑĩ ива +ä»» ãģĽ +Ġéquip é +ä¹ħ ãģĹãģ +ä¹ħãģĹãģ ¶ +ä¹ħãģĹãģ¶ ãĤĬ +Ġк аÑĤ +ĠкаÑĤ ал +ĠкаÑĤал ог +ส à¹īม +ĠÑĢ ей +ĠÑĢей ÑĤ +ĠÑĢейÑĤ инг +Ġth uyá»ģn +ĠاÙĦÙħ ÙĤدس +esp ère +ãģ«åħ¥ ãģ£ãģŁ +หมาย à¹Ģลà¸Ĥ +ת×Ĺ×ķש ת +à¸Ļ à¹Īะ +Ġpe ÅĤ +ĠpeÅĤ ne +Ġpé rd +Ġpérd ida +หม วà¸Ķ +หมวà¸Ķ หมูà¹Ī +иÑĩеÑģк ÑĥÑİ +çµĤ ãĤı +çµĤãĤı ãģ£ãģŁ +Ġ×Ĵ ×ķ×Ĵ׾ +à¸Ĺำ à¸Ħวาม +à¸Ĺำà¸Ħวาม สะà¸Ńาà¸Ķ +Hot éis +Ġз аÑĢ +ĠзаÑĢ егиÑģÑĤ +ĠзаÑĢегиÑģÑĤ ÑĢи +ĠзаÑĢегиÑģÑĤÑĢи ÑĢова +ĠÑģ обÑĭÑĤи +ĠÑģобÑĭÑĤи Ñı +Ġ×ĸ ׼×IJ +ÙħÙĨظ ÙĪÙħØ© +Ġ×Ķ×ŀ צ +Ġ×Ķ×ŀצ ×Ļ×IJ×ķת +Ùħ ÙĥÙĪÙĨ +ÙħÙĥÙĪÙĨ ات +ä¸ĬãģĮ ãĤĭ +Ġm ÄĻ +ĠmÄĻ sk +หรืà¸Ń à¹Ģà¸Ľà¸¥à¹Īา +ëĤ ® +Ġnok tas +Ġnoktas ı +ĠболÑĮÑĪ им +ĠлÑĥÑĩ ÑĪиÑħ +Ø´Ùĩ ÙĬد +à¸Ńำ à¸Ļ +à¸Ńำà¸Ļ วย +à¸Ńำà¸Ļวย à¸Ħวาม +à¸Ńำà¸Ļวยà¸Ħวาม สะà¸Ķวà¸ģ +Ġе в +Ġев ÑĢ +ĠевÑĢ оп +ĠевÑĢоп ей +à¸ī าย +ìĦ Ń +Ùħ Ùģا +ÙħÙģا ÙĪض +ÙħÙģاÙĪض ات +ë¹ Į +赤 ãģ¡ãĤĥãĤĵ +ĠÑĥдал оÑģÑĮ +ĠÐ¥ оÑĤ +ĠХоÑĤ Ñı +przedsiÄĻbior c +ĠH ôm +íķĺìĺĢ ìĬµëĭĪëĭ¤ +Ġн аг +Ġнаг ÑĢÑĥз +ĠнагÑĢÑĥз к +Ġ×ij×Ļ׳ ׾×IJ×ķ×ŀ×Ļ +Ġê°ĢëĬ¥ íķľ +ĠH ữu +à¸Ń ุà¸Ķ +à¸Ńุà¸Ķ ม +ת ×ķפ +ת×ķפ ×¢×Ķ +Ġmi ÅĤo +ĠmiÅĤo ÅĽci +ksi Äħż +ksiÄħż ka +ĠاÙĦÙĦ عبة +à¸ī าà¸ģ +สะ สม +×ŀ תר +×ŀתר ×Ĺש +Ġlég ère +Ġ׾צ פ +Ġ׾צפ ×Ļ×Ķ +ĠиÑģÑĤоÑĢ иÑı +Ġ ãĥĪãĥ© +ĠãĥĪãĥ© ãĥĥãĤ¯ +ĠãĥĪãĥ©ãĥĥãĤ¯ ãĥIJãĥĥãĤ¯ +Ġк а +Ġка ÑĦе +×ŀס×ŀ ×ļ +Ġc üm +Ġcüm le +à¹Ģà¸Ħลืà¹Īà¸Ńà¸Ļ à¹Ħหว +ãģĬ ãģĿ +ãģĬãģĿ ãĤīãģı +ìŀIJ ëıĻ +ìŀIJëıĻ ì°¨ +à¸Ńั à¸ķ +à¸Ńัà¸ķ à¹Ĥà¸Ļ +à¸Ńัà¸ķà¹Ĥà¸Ļ มั +à¸Ńัà¸ķà¹Ĥà¸Ļมั à¸ķิ +ĠÅŁ ik +ĠÅŁik ay +ĠÅŁikay et +extr ême +kr ä +krä fte +ëĤ Ļ +íķ ij +ì² Ļ +íĺ Ī +ì° į +âĻ ¡ +ìŀ Ķ +ë¢ ° +íĿ Ķ +íĿ IJ +âĩ Ĵ +ë§ Ľ +ìĬ Ī +á» Ĵ +ìĺ µ +âĹ İ +í Ĥ¨ +ê¿ Ī +ìĪ ¨ +ìĽ ¨ +ë§ ¥ +ï½ Ģ +ï¼ ª +Ạ¨ +ãħ İ +Ñ Ĺ +ìĦ ¬ +ì¹ ¼ +ï¼ ¶ +ìĽ ł +ëŁ ´ +Å ĥ +ëĤ ¼ +ëĭ IJ +âĢ ¹ +ë¦ Ń +ì§ IJ +âĢ ¤ +à ħ +ëľ ¨ +íĦ ¸ +íľ ĺ +ê² ģ +ë´ ħ +à ĺ +ëŃ Ķ +ëĺ ij +âĹ ĩ +ìĹ ĺ +ï» ´ +ë§ ¹ +ï¾ Ŀ +ìĬ · +íĥ ķ +ï¼ ł +ì» ´ +ëł Į +ì½ ľ +ï» ¹ +ãħ ł +ì¡ ¸ +ëħ ¹ +âĤ º +âĸ ¶ +íĥ IJ +êµ ´ +íij ¸ +Ñ Ķ +íĶ ½ +Ð ħ +ë° ¤ +Ô ģ +ì² ¨ +ì¶ ĺ +ë² Ĺ +ë© ¸ +ï¼ » +ï¼ ½ +ï¼ · +ì° Į +à Ĵ +íı ´ +ìĵ ¸ +ì´ Į +ëģ Ķ +ëĶ © +ëĩ Į +ë© Ģ +ë² ¨ +ï¼ µ +ë§ ¡ +ëĭ « +ภ¿ +ãģ ± +ìĩ ¼ +ìº ł +ë® ¤ +ê± ± +ì» ¬ +âĦ ĥ +ëĶ ± +ëĥ Ī +ìĭ ± +íĻ Ī +ëŀ IJ +ìħ Ģ +ìł ł +Ð Ĩ +ëł ī +ï½ ħ +ï½ ı +íĻ Ģ +ëĽ ° +á» ® +í Ĥ¹ +ê½ ĥ +ï» ¤ +ïº Ķ +êº ¼ +ìķ ī +âĻ ¦ +ï½ ģ +ìĵ ´ +ãĢ ī +ì° ® +ì¤ ĺ +á» ª +ëģ Ħ +ëIJ ¨ +ìķ Į +íĿ ĺ +íħ IJ +ãĢ Ī +ê² ª +ëĭ ¥ +ê² ¼ +á» Į +ë§ ¨ +ëģ Ĭ +ë² ¤ +ëij Ķ +íĿ ¡ +á» ¬ +ë¬ ĺ +ãģ ī +ëŀ « +íĶ Ī +í ħį +ìŀ ĥ +ï½ ī +ìģ ľ +âĸ ½ +ë¬ » +âĸ ³ +ï¼ ¸ +ìģ ĺ +ì¶ ° +ìĬ ´ +ìķ ± +ìĩ Ħ +Ạ® +ï´ ¿ +ï´ ¾ +âĤ ½ +ëĦ ĵ +ë£ © +ì³ ¤ +ê´ ľ +à Ļ +á» ľ +ï¿ £ +ëĵ Ń +ë© ĺ +ê» ´ +ëł ´ +Ð ĥ +ë¬ µ +ì§ Ŀ +ãģ º +ðŁĺ Ĥ +ëŀ ¬ +ìł Ĭ +ê´ Ħ +ìŀ Ĭ +íŀ Į +ìĦ ¯ +âĪ Ģ +âĸ ¡ +ëĢ Į +ëŀ Ļ +ï½ ĥ +Ạ¶ +ï¾ Ħ +ïº ĺ +ë¹ ¼ +à Į +âĸ · +ê¸ į +ë© ĭ +ãģ ĥ +ìĺ Ĩ +ìĺ ® +ëª ¬ +ë¡ ¤ +ëł ¬ +ëĬ ¦ +âĸ ª +ì¼ ĵ +ìľ Ī +ì§ § +ï½ ½ +ëĥ ī +ï¾ Į +ëĺ IJ +ï¼ ĥ +á» Ħ +ì´ ¬ +ì¶ ¤ +ï¼ ¹ +ï» Ń +âĤ « +ï½ ĩ +ìĺ · +ëĸ ¨ +âī « +ë¦ ¿ +âľ ¨ +Ù ± +ì¯ ¤ +ê¹ Ķ +ðŁĺ Ĭ +ìĪ « +ê³ ± +êµ ³ +ï½ ĭ +ภĮ +Ä ł +ëĶ ¸ +ë° ij +ìħ ĭ +íİ ´ +âľ ħ +íĥ ij +ëĪ ĩ +íı ¼ +ðŁĺ į +ìĺ Ľ +ï» £ +Ñ ĺ +ì© Į +ë¦ ħ +ìĿ į +ï½ ¸ +ëį ľ +ãģ ħ +íİ ¼ +ëĭ Ŀ +ë¿ Į +ì¼ ° +ìĭ « +ë° ¥ +íĽ Į +ì¨ Į +ë¹ Ļ +ï½ İ +ë´ Ħ +ìĦ ¹ +ï½ ² +ìĮ ĵ +Ò ij +ë° į +ëł Ģ +íĨ ¤ +ï½ ¯ +ë¤ Ħ +ê½ ¤ +ï½ Ĵ +ìķ ¨ +ï½ ¼ +ê¹ IJ +íģ IJ +âĦ ĸ +ë§ º +ïº ® +ëħ ģ +ê² ¸ +ï» ł +íĬ ľ +Å ¹ +ë¥ Ń +ëĪ ī +ï½ Ķ +íĮ ¬ +ìŀ ĩ +ï ¬ģ +ï» ¨ +ëij ¥ +ëŀ Ħ +Ù ¬ +íĭ ´ +ìŀ ī +Ú ¾ +ìĽ ħ +ï» ® +ëĭ ī +âī ª +âĹ Ħ +ëĪ Į +íĽ ¼ +ì¤ į +Å ¸ +ì¤ ¬ +ì¾ Į +ï½ ĵ +ï¾ Ĭ +ðŁı » +ï¾ ī +Ð ģ +íĺ IJ +ï¾ Ļ +ê¼ ¬ +íŀ IJ +âĢ ¥ +ëŁ Ń +ë§ ŀ +ìĥ ¤ +ïº Ĵ +íĭ ± +ë½ ij +à ķ +âĪ ļ +ëĤ Ħ +ê¹ Ŀ +ëĨ Ī +Ạº +ìħ Ī +ìĮ į +âĢ ¡ +ï¼ ± +ìģ ¨ +âĺ º +ëĴ · +ìĺ ³ +ðŁij į +ëª ½ +ëĤ Ń +ïº Ń +ë© Ī +á» Ī +íķ Ģ +ëĭ Ļ +ë¦ ĩ +ìķ ¤ +ìį ¼ +ãĥ µ +Ñ £ +ìľ Ĺ +â ŃIJ +ï¾ ĺ +íĹ ¬ +ê¾ ¼ +ìķ Ĺ +ï» Į +ê± · +ëħ ķ +ë¡ ± +ìķ Ĭ +ï¾ Ģ +ìĩ ł +íĮ © +ïº ª +ë§ Ļ +ï¼ ¿ +ê¿ Ķ +íİ ľ +ë£ ¸ +íĶ Ķ +ï» ³ +ëı ķ +ìĭ ¼ +á» İ +ë§ ĺ +ì¢ ĭ +íĨ ¡ +ï½ ± +íĿ ij +á» ¸ +ì¦ Į +ì¹ ¸ +ëŃ ĺ +ï¾ Ĺ +ï» ĭ +íĬ Ģ +ë¥ Ļ +ì½ © +ëģ Ĺ +ëį ´ +ìħ ľ + ¸ +ë» IJ +ìĥ µ +ê² IJ +ëĵ ¬ +ë£ ° +ãħ ĭ +ìĹ ī +á» ĸ +ëĦ Į +ï½ ¶ +ë´ ĩ +ëĤ ³ +ãĤ ľ +ëĸ » +íİ Ģ +ëį © +íķ ¸ +à · +ê¼ ¼ +ëĶ ľ +ë° ´ +ë© į +âĹ ¯ +ìĹ ij +ìĻ ¼ +ïº ij +ë¶ ķ +ë¡ ¬ +ï½ Į +íĨ ¨ +ïº ´ +ëł ĺ +ê° ¤ +ìĪ ² +Ñ ĵ +ìħ ī +ï» ĵ +ëĪ Ķ +ëį § +âĢ ¼ +ï» ² +ê° ± +ê¿ Ģ +ëĭ · +Ạ¸ +Ạª +Æ Ĵ +ëį ¤ +ìĪ Ń +ï½ Ĥ +ï½ Ī +Å ł +ë£ ¬ +Ñ µ +ëĸ ¡ +ëĥ Ħ +ìĦ ° +ëĵ Ī +ï¾ ĥ +ëĩ ¨ +ï½ IJ +êµ ½ +ìĹ ½ +ëĤ Ģ +ë¬ ¶ +ï½ · +ìı Ł +íĺ Ķ +ê¼ Ī +ëģ Ī +ì¥ IJ +ïº Ĺ +Ä Į +ëĪ ł +ëĸ ¼ +íĢ ´ +âī ¥ +ëĭ Ń +ì± Ļ +ê» ı +ë© ¤ +ìĥ ĺ +ëį ® +ë£ ¡ +ìĤ ½ +ãĪ ľ +Ä ¨ +âĢ § +ï½ º +Ä £ +ì¦ ī +ï¼ ¼ +Û © +âĪ Ļ +ë° ı +ë¹ ħ +ðŁĺ Ľ +íĪ ´ +ðŁĴ ķ +ãĢ Ĵ +ìŀ ĺ +ïº ¤ +ï½ ĸ +ë© ľ +ë² ¼ +ëĿ Ħ +ëļ ľ +ï» ĺ +ìĥ Į +ï½ Ħ +ì© Ķ +ï½ Ļ +ïº © +Û ŀ +âĺ İ +ìł ¤ +ëIJ © +Å Ŀ +âŀ ¡ +ï» § +Ð ı +ì« ĵ +ê³ ½ +É ij +ãĥ ² +ëĤ « +ë¦ ī +ì¢ ģ +ë° Ń +ðŁĺ ģ +ë¹ µ +ì² © +ì» µ +ðŁĺ ĺ +ë± ħ +âī Ī +ë¹ ļ +ï» ľ +ðŁĻ ı +íģ ° +ìĦ ŀ +ï¾ ļ +ìĺ ¹ +ë¼ Ī +ëĤ ¯ +ëŀ © +íļ ¡ +ï½ ķ +íĥ ĵ +ëĿ ł +ê³ ģ +ëĵ Ģ +ìĹ ł +ï¼ º +ë§ ij +ëĭ ¿ +ì¿ ¨ +ãİ ¡ +Ð Ĭ +íĦ ± +Å ¨ +ïº ³ +ï¾ ı +âĭ ħ +ê¼ ´ +âī ¤ +íĮ ģ +Î © +ê¶ ¤ +ìĪ į +âľ ¿ +ì½ ¤ +ëĪ ħ +íĨ ± +ãħ ľ +áIJ ħ +Å Ĵ +ðŁij ī +ï» ¦ +Ð ª +ë¥ ľ +íķ « +ï¾ ĭ +âĻ « +ê¹ ľ +ë° ¸ +ëĶ ĺ +íĿ ī +ï¾ ģ +ï¾ Ľ +ëł Ľ +ê² ¹ +ì¿ ¼ +ï» ¬ +âŀ ¤ +ðŁĻ ģ +ïº ł +ëĨ ¨ +ë¯ ¹ +ê¸ ĭ +ë» Ķ +ê¹ ĥ +ëij ij +íĭ ¸ +íİ Ļ +âŀ ĸ +ãĥ ½ +ì§ ļ +ï½ ¬ +ï» ¥ +íĮ ½ +âĢ Ĵ +ì ĮĢ +ìŃ ī +ëļ ± +ãĤ ŀ +íĭ Ī +ãĤ IJ +ëī ĺ +Î £ +ê³ ° +ë¹ Ĺ +ï¾ İ +ðŁĺ Ń +íĿ ł +ìĹ ¿ +ê° ļ +ì¤ Į +ë§ µ +ï½ ³ +ãģ ¢ +ï» Ĺ +âī ¦ +Ú ¤ +ë łģ +ê¼ ½ +ï» « +âī § +ì´ Ľ +ìł Ŀ +Ạ° +âĻ £ +ìº ĺ +âĪ ĩ +ê² ī +ë° Ł +ï» Ķ +íĸ ĩ +âĸ Ĵ +ðŁij ı +à ŀ +ðŁĺ Ĩ +ïº ¼ +âĿ Ĺ +ìº Ķ +ì¹ © +ëĸ ¤ +ëĥ ħ +âĶ ľ +ï½ » +Î Ķ +áĥ ¦ +ìŀ İ +âĺ Ģ +âĪ ¼ +ðŁĶ ¥ +ë° Į +ìł ĸ +íĹ Ľ +Î ķ +ïº ĥ +ë¶ ī +âĪ ŀ +íĥ Ń +à ĭ +âģ Ħ +ãħ ĩ +ëĦ ¥ +ëĭ ® +ëł · +íĮ Ŀ +ìº ¡ +ë· Ķ +ì© į +íĤ ´ +ëļ « +âĵ Ĵ +íķ į +âĻ Ĥ +ï¾ Ĩ +âĨ © +ìį © +ïº ķ +íĿ Ļ +Ñ ľ +íĤ · +íĿ ° +íĥ ± +ëķ IJ +ï¾ Ĵ +× ĥ +ëĮ Ħ +ìĺ ´ +ìķ µ +ê¹ ¥ +ëŀ Ń +ìª ¼ +ãİ Ŀ +ðŁĺ ħ +ëı ĭ +ëª « +ïº ¸ +ë® ¬ +ë² ħ +ëij ł +ìħ ° +ì» · +ëĶ ª +ëħ Ķ +ãħ ¡ +ìĶ » +íķ ı +ëį ± +ïº ¨ +ï¾ į +ï½ µ +ì¢ Ģ +íİ Į +ï» ° +ïº £ +Æ £ +ðŁ¤ £ +ï· º +ëĤ ļ +âĭ Ĩ +ë³ į +ðŁĺ Ħ +ìĸ Ģ +ìĻ ł +ëĨ Ķ +íĹ ¨ +ï» Ľ +ï» Ŀ +á» ¶ +ìĸ ĺ +ìİ Ħ +Ú Ĩ +ï» ŀ +ëĢ IJ +ê² Ķ +ï» µ +âĹ ¦ +íļ Ł +ê¹ ģ +ê° ĵ +ëĶ ´ +ìı ĺ +ëļ Ŀ +á» ł +ëŀ ´ +ëĦ ī +âĺ ŀ +ï½ ĺ +Å ½ +ë¦ İ +âĸ ¬ +ëŃ ī +âĩ Ľ +ìį ¬ +ïº Ł +Ë ľ +ë¶ ĵ +ìĽ ° +Å ľ +ëŃ ĩ +á» ² +Ë ļ +ëķ Ģ +âĺ ij +ðŁı ¼ +ìĸ ½ +âĮ Ĵ +Ð İ +É ¾ +íĮ ¡ +ï¾ ħ +ìŀ Ń +ï½ ¨ +ì¹ « +ìľ Į +Ò Ľ +êµ ¿ +ëĭ ¦ +âĶ Ķ +ï¾ ij +ì§ ĸ +ìº Ħ +ãĢ ĥ +Ê ¼ +ê² Ł +ï½ § +Ä ¢ +íİ ł +ë§ · +ê° ĩ +ìĭ ¹ +ðŁĴ ¦ +ï¾ ľ +ëĬ Ļ +ë² ¡ +Å ¿ +ðŁĺ ĭ +ðŁĴ ª +ì¿ Ħ +ë© ķ +ìŃ ¤ +ëĬ Ħ +ðŁĮ ¸ +ãĤ Ŀ +Ç İ +ï½ ļ +Ä Ĺ +ëģ ĵ +ê¶ IJ +áµ ī +ãĥ Ĥ +ê» į +ðŁĺ ¦ +ãĢ Ŀ +ðŁ¤ Ĺ +Ñ Ł +ìĹ İ +âľ Į +ìī IJ +à Ĩ +íĹ IJ +ðŁİ ī +Î ij +ï½ Ń +ðŁĴ Ļ +ìĽ ¬ +íĢ ĺ +ï» ¢ +ðŁĺ İ +íij ¼ +íĿ © +ï» Ħ +íħ Ģ +ëł IJ +ì¥ ¬ +Ð ĭ +ìĥ · +ëľ ¬ +ðŁĺ ĥ +ëĦ ¬ +ë¥ ¨ +ìĽ į +ï½ Ĩ +ï½ ´ +ãĥ ħ +à ı +ï» ª +âĻ ł +ëĬ ¬ +ë± Ģ +ë° ĭ +ìĥ Ģ +ï½ ¾ +ëĤ ± +ì» ¸ +ðŁĴ ĸ +ðŁij Į +Ñ ŀ +ì§ ± +Ë Ĩ +ðŁĵ ļ +âŃ ķ +ï¬ Ĥ +ï» ¡ +ëij ¬ +íĪ ¼ +âĸ ¸ +ê° ¯ +ê¹ ħ +ï½ ® +ëĺ ¥ +Ä ¡ +íĮ Ł +Ð Į +ìĨ Ł +ïº ĵ +ï» ¼ +à Ľ +ãĥ ¾ +ëĮ ĵ +íĴ ĭ +ìķ ĵ +ï½ ¹ +ëĤ ¡ +ðŁij ĩ +Ạ¼ +ãĢ Ł +ðŁĮ Ł +íĥ ł +ãĢ Ĩ +âĢ Ł +ë¸ IJ +ðŁĮ ¹ +ìł ¼ +ðŁĵ Į +ìĶ ¬ +âĹ Ģ +ðŁĴ ĵ +ê¹ İ +ìĤ IJ +ìĶ Į +Ñ Ľ +âĶ Ī +ë² ³ +ãİ ŀ +Õ ¡ +íĤ µ +ðŁ¤ Ķ +ëĢ Ķ +ìĬ IJ +íĻ ī +âľ ¦ +ëľ ¯ +ìł ¯ +ëĶ § +Î ¦ +Ë Ī +ìī ¼ +âĹ Ĭ +ëľ © +ëľ ° +ï¾ IJ +ë¿ Ķ +ìĹ ® +ì· Į +ïº § +Î Ĵ +ëµ Ļ +ï» Ĭ +ì° Ķ +íİ Ħ +ðŁĴ Ĺ +Ạ´ +ì° ¢ +íľ ¼ +ê½ Ĥ +ì± Ķ +ìī ´ +âĸ ¾ +íĪ ° +ëĭ Ľ +âĿ £ +ï½ ª +ðŁĴ ľ +Ë ĺ +ãħ ¤ +âĨ Ĺ +íĸ Ħ +âĻ ¬ +ìķ ° +ïº ľ +âī ¡ +ãĢ ĵ +ìij ¥ +íĮ į +íī ģ +ë» Ĺ +íľ ł +íľ © +âľ Ī +íĢ Ħ +ìĸ ĩ +ì¢ ĩ +íŀ Ļ +ëª ¹ +ãĤ Ľ +ðŁĺ ± +ëį Ł +๠ħ +êµ ¶ +Ù « +ìĶ ģ +âľ ª +ï¾ Ī +ðŁĻ Į +âļ ¡ +Î ļ +ì¼ Ī +ï¾ Ķ +ï¾ Ĥ +êµ ī +ïº » +ðŁĴ ĭ +á¹ £ +Ó Ļ +ìĨ ľ +ìĹ £ +âľ © +ìľ Ļ +ïº ° +Ạ² +ìŀ £ +âĿ Į +âĺ ģ +ìķ İ +Ä ½ +Û ģ +ãĦ ± +ëŁ ¿ +íĮ ¸ +ê½ ī +ìı ł +ðŁį Ģ +âĨ Ķ +ëŃ ¡ +ï» ģ +ï¼ Ħ +ðŁĴ ¥ +âĺ Ľ +íĹ · +ëij ¡ +Î ł +Î ¤ +âĦ ĵ +ïº · +Î Ļ +ëı Ķ +ì§ ¤ +âĶ ĥ +ãĦ · +Ç Ĵ +ðŁ¥ ° +ëĶ ķ +ìļ ¥ +ì¸ Ħ +íĽ Ķ +ïº ĩ +ïº ¬ +ðŁĺ ¢ +ë¹ ¡ +ìĶ ¹ +Å ³ +Ë Ŀ +íİ ij +ï¾ ĵ +ðŁĴ ļ +ëĬ ij +êº ¾ +íĨ ° +à ¿ +Ð Ħ +ëĮ IJ +ë½ Ģ +ì· Ħ +ðŁ ĵį +ðŁĻ Ī +âĹ Ī +ê¿ ĩ +ì¼ Ħ +íİ « +ðŁĩ · +âĶ ĭ +âļ ł +ë± ī +ì į° +ìĻ Ī +É ª +ïº ĭ +ðŁĺ ľ +Î Ł +ðŁ ĻĤ +âļ ½ +Å Ī +ë¹ Ķ +íĮ ľ +๠ı +ìĸ ¹ +íĪ Ń +ðŁ¥ ĩ +ãĦ ´ +ëĶ ¥ +ìŃ Ī +âĪ Ĩ +ëĸ ³ +ë± ĥ +ìŀ ¦ +ï» IJ +Î ľ +âľ § +Ï į +ìł ĵ +âĹ ķ +ëĴ Ģ +ï» Ģ +ðŁĶ ´ +ê½ ģ +ëĮ Ī +ëİ Į +ãĤ İ +⦠ģ +ì½ § +ï¯ ¾ +âĿ ¯ +ภħ +ðŁĻ Ħ +âĿ Ģ +ðŁĶ ¹ +âĩ IJ +êµ µ +âĩ Ķ +ë¶ IJ +ðŁĴ Ľ +Î ¾ +íĥ ¬ +âĿ Ħ +Ò £ +ãĢ ° +âĪ ij +âĺ ¼ +âī ł +Ò ¯ +ïº ¯ +ê¿ ¨ +âľ ĸ +Ê ĸ +íĢ Ģ +ê¾ Ģ +íĹ Ŀ +âĶ £ +ãİ ľ +ëĶ Ľ +ëľ ¸ +ï º« +ê¿ ° +ðŁĩ ¹ +Ç IJ +Û Ĵ +ë£ » +ïº ĸ +Ñ ļ +ëĬ ł +Û ķ +ê¹ ¡ +ë¿ ľ +ì² ¼ +ï¨ ij +ë¥ µ +ìį ¸ +íħ ħ +íij ¹ +Ö Ģ +ï³ Į +ãħ £ +ìij ¤ +ì½ ķ +ëķ ł +ðŁĮ ¿ +íĥ Ķ +ìĽ ģ +Î ¶ +âŀ ľ +ìĬ ĺ +íĽ Ĺ +ë© § +ìī ĺ +Õ ¶ +á¹ ĩ +ðŁİ ģ +ï½ ¿ +ï¼ Ĥ +á¼ IJ +âľ ķ +âŀ ¢ +ëĦ ¨ +ì» « +ì¯ Ķ +ì° ľ +ðŁĴ ° +íħ Ŀ +ãİ ı +ë³ ¶ +Ò ĵ +âĨ ³ +ìĥ ´ +íģ ĺ +âĸ Ģ +ë² Ļ +ภĥ +á½ ¶ +Ä ķ +⬠ĩ +ë¤ ĺ +ðŁİ µ +âľ ļ +ïº ı +Î ¡ +âĹ ī +ðŁĴ « +Ð Ī +ìĸ Ħ +ì§ Ļ +ï» ĥ +ðĿij Ĵ +ëŃ Ħ +âĿ ¥ +âĿ ĸ +âĺ Ŀ +Ê ¹ +Ḡ¥ +âĢ ¿ +ãħ ħ +ê¸ ģ +ëķ ¡ +ëį ¥ +âĪ © +ê» Ħ +ë® Į +Ò ± +âĪ Ĺ +ëł Ļ +ïº Į +Ë IJ +ðŁĺ ³ +ðŁij © +ðŁİ ¶ +ì¿ µ +ðŁ¤ © +ê· ¤ +ëĮ Ķ +ïº IJ +Ï İ +ì¶ ¥ +ï½ Ĭ +á¹ Ń +ë¤ ¼ +âĸ « +ì§ ł +á¼ Ģ +ê» ij +ëĮ ģ +íĢ ¸ +âĻ Ľ +ðŁĴ ŀ +âĸ ° +ðĿij ĸ +ëĿ ¤ +ठ¦ +ì´ ĺ +ðŁĺ ĩ +ëĶ ¤ +Î Ĺ +ðŁĻ ĩ +Ë Ľ +ì© ¡ +âĪ § +Õ ¥ +Ñ Ļ +ëIJ ¬ +ëĸ Ħ +ðŁĮ · +ìĹ Į +ðŁĺ ¥ +ëĪ ´ +ï» ļ +É Ľ +ïº Ħ +ï» ı +Å Į +ë² ļ +ìĭ £ +ïº Ģ +Î ĵ +ðŁĺ Į +Ë Ļ +ëŀ ı +ðŁĶ ¸ +ðŁĵ · +ëģ ½ +íģ ½ +ðŁĴ ¡ +ðŁĮ ± +ëº ı +ìģ ł +ìĥ IJ +ëı Ĺ +ì¸ ° +ëĪ ķ +Î Ŀ +âģ ī +ðŁĮ ¼ +íĮ ł +âĭ ¯ +áĥ ĺ +âľ ¤ +ê± Ķ +íĮ İ +ðŁĴ ¯ +ìı Ļ +íĹ ī +Ù Ń +ì½ ° +ïº ¿ +ï» ± +ì± Į +âĺ ķ +ðŁİ Ģ +Ä Ŀ +ë° § +ìĤ ¿ +áij ķ +ðŁį ĥ +âĩ ¨ +Î Ľ +ë§ ´ +ë³ ķ +á ijIJ +âĸ ĵ +ðĿ ijľ +âĻ » +íĤ ¥ +Õ ¸ +ãĪ ± +ëº Ģ +ì² ¸ +ïº Ľ +ðŁı Ĩ +ðŁĩ ª +âĿ ĵ +Ä Ģ +ì½ ¥ +ðŁĩ § +á½ · +âľ Ĥ +ìŀ ¼ +ï§ ¡ +ðŁĵ ¸ +âĻ ¯ +É Ķ +á½ ¸ +âĮ ª +ï» ĸ +ï¥ § +âļ « +âĶ Ĺ +ðŁĮ Ī +ï» © +ðŁĵ ² +Ï Ī +ðŁĺ ¡ +ðĿij İ +ìľ ½ +ì§ ¬ +ì§ Ĭ +á½ ³ +ìĮ ¤ +ëĤ į +âī Ĵ +ðŁij ¨ +âĺ ĺ +Ó © +âĤ ĵ +âĪ Ĥ +ï¹ ģ +ðŁĴ IJ +íħ ĥ +ðŁı ½ +ê· Ħ +ðŁĺ ı +ðŁĮ º +ðŁĺ Ķ +ï½ « +âľ İ +ëµ Ī +ðŁĩ ¸ +âĢ £ +âŀ Ķ +ëĺ ĺ +ìĥ ¬ +Ê ĥ +⬠ħ +ì© IJ +ðŁĻ Ĩ +ðŁİ Ħ +Ä ¾ +⣠¶ +áĥ IJ +âĺ » +ì± ķ +ìģ © +ë½ ķ +ìº £ +ðŁij Ī +ðŁĻ ĭ +ï¾ ĸ +Ò ļ +Õ « +ìĮ Ī +ë² § +ðŁĩ ® +ï½ Ŀ +ðŁį ģ +ìĹ ¥ +Ä ³ +ë½ IJ +íį ½ +íĽ ij +âĤ ¹ +ãħ ģ +ìĶ ½ +ðŁĶ ģ +ठ¯ +ê¾ ¹ +ëī ľ +âĹ ¡ +íķ Į +Î ĺ +ë£ ¹ +ìĻ ĵ +ðŁĩ ¦ +ðŁij Ģ +âĶ Į +á¿ ¦ +ëĦ Ľ +ìĦ £ +ìŃ Ļ +ï± ł +Î ŀ +Ê » +á¿ ¶ +âĿ Ŀ +ê± Ģ +ëĸ ´ +ãĦ ¹ +ðŁĴ İ +Ï ¹ +⼠ħ +ï» ķ +ãĥ ± +ï½ Ľ +ëĮ ķ +ë¹ ½ +ì¥ Ķ +ì¿ ¤ +ðŁĸ ¤ +Ñ Ĵ +ê¹ į +ëİ Ģ +ìĭ ¯ +ë» ¤ +ðŁĵ ŀ +ðŁĵ £ +ðŁĺ Ŀ +ìį ¹ +ìĹ ¡ +ì° IJ +á½ IJ +ï» Ī +âľ į +Ä ı +ðŁĮ ŀ +âĦ ¦ +ê½ Ŀ +ë» ĺ +ìĪ ± +âĶ ĺ +ðŁĮ » +âĤ ´ +âŀ ¨ +íIJ ģ +ê ¶Ī +âĺ ¢ +ðŁĺ Ī +ï½ © +âĦ Ĺ +ê° Ń +ê° ¸ +ë» ij +ì¥ ´ +ì» ¥ +ï¤ Ĭ +ï» Ĵ +ðŁĺ ķ +âĺ Ķ +ìĺ IJ +ðŁļ Ĺ +ëĹ Ħ +ë§ ı +Õ ½ +âĸ » +⣠µ +ìī ° +ï» ij +âĻ © +Î ¥ +ðŁĺ £ +âĬ Ĥ +ãħ Ĥ +ìħ ¸ +íı Ħ +âľ ½ +ì¦ Ļ +âĸ £ +ê± į +ê¿ ĭ +ì« Ħ +ìº ĩ +ðŁĩ µ +ðŁij ij +âľ ĺ +ðĿij Ľ +ìį ½ +ìº ī +ï¬ µ +ðŁĶ º +âĦ ® +íĥ ¤ +ðŁĩ º +ðŁĴ µ +íħ ¨ +ï½ ij +Î ¨ +ìĥ ¹ +ìĸ ķ +ì¹ µ +ðŁĵ ± +ठµ +ðŁij Ĭ +ðŁĴ Ħ +ðŁĴ Ŀ +ãĮ Ķ +ìĻ ģ +Ð ĩ +à® IJ +âĸ ¹ +á´ Ľ +âĹ ĺ +ëº ¨ +íĥ ī +ìĸ Į +ðŁIJ ¶ +ãĤ ij +Ë ĩ +Å ı +á½ ¹ +ìħ § +ï¹ ° +ðĿij ¡ +ðŁĶ Ŀ +ðŁĺ » +ðŁĴ ĥ +ðŁ¤ ¦ +ðŁį Ĵ +íĢ µ +âľ Ĩ +ë¹ ´ +ï§ ¤ +ï» Ļ +á´ Ĺ +ðŁĮ ´ +Í ¾ +ëĮ ij +ì¨ ĭ +ìµ ¸ +ðŁİ Ī +ðŁı ł +á½ ± +Û Ĩ +á¿ ĸ +âĢ Ľ +ì° ¼ +íķ ¥ +íĹ ´ +ðŁĩ ¬ +ì° Ŀ +âĪ ł +ï¼ ĩ +âĬ Ļ +âĿ ij +ëĦ ĭ +ëŀ Ĺ +ë° ī +ìĹ Ĭ +ì¢ Ĩ +íĮ ¥ +ï° ² +ðŁĵ ĸ +ðŁĺ ® +âļ ª +ðŁĺ ļ +âĿ ŀ +ðĿij Ł +ðŁİ Ĥ +Å ķ +áIJ Ī +êº ½ +ì± ł +ïº Ŀ +ê¿ ī +áĥ ł +ðŁı ĥ +ðŁĴ ¸ +âĿ ģ +âĹ ¾ +Ú ª +á¹ ĥ +íĬ ¬ +ðŁĩ ± +íİ Ń +ðŁĺ ŀ +ë¾ ° +á¹ Ľ +ëĽ ¸ +âĿ Ĥ +êĴ ³ +âĶ IJ +íĵ ° +âŀ ł +ê´ ĺ +ëħ ĺ +ë» ¥ +ì¾ ħ +ðŁĺ IJ +âĪ ª +ðŁij ģ +âĪ ´ +âĹ ģ +ëº IJ +ìŀ ¤ +ì± Ĺ +ðŁı ¾ +Î § +á½ » +âŀ ¥ +ìŁ Ī +ï» ī +âĸ Į +ãĥ ® +ðŁ¤ ¤ +âĩ ĵ +ì¼ ł +á´ ı +ë§ ¬ +ë» £ +ðŁĴ ¬ +ðŁį ĵ +Ä ¸ +Ù ¹ +Ê ¿ +á½ ° +ëķ ľ +ì° ¡ +ì° » +íİ į +ðŁİ ¯ +ðŁį Ĥ +ðŁij § +âĻ ¢ +áĨ ŀ +âĻ § +âļ ľ +âľ ī +ëĵ ¦ +ëŃ £ +ìĪ ı +ìĵ ± +Å Ń +Ê Ĭ +âĴ ¸ +âĩ © +ðŁĴ Ķ +Õ µ +Ð ī +Ò » +ë§ £ +ìĽ ľ +ì¿ ¡ +íĽ ħ +íĽ ¤ +ïº ¢ +âľ ĭ +âĪ Ī +ðŁĮ į +Ê ľ +ëĬ ª +ëĴ ¹ +ïº ² +âĸ Ħ +ãħ Ī +ëļ ¤ +íİ © +âĪ ¨ +ðŁ¤ ª +áĥ ļ +ê³ ¶ +íĬ ķ +ðŁĺ ¬ +âĪ « +ðŁij ĭ +Ò IJ +íĬ ¿ +ðŁĶ µ +ðŁĴ ¨ +ðŁĮ Ļ +ëĩ © +âľ ³ +ë¨ ģ +ëº Ħ +ìĻ ij +ìº ħ +íı Ī +ðĿij Ļ +ðŁĴ ĺ +ãİ ¥ +âĿ ı +âľ ° +ï¯ ¿ +ëµ IJ +ì¼ IJ +ïº ± +Õ ´ +ï¬ Ģ +âľ ´ +ðŁ¤ Ń +ðŁij Ĩ +⼠Ķ +ê· ĵ +ìĮ Į +ðŁ¤ · +Û Ķ +ðŁ§ ¡ +ðŁĺ ĵ +Î ĸ +âı ° +ê² ľ +ëĭ ³ +ëİ ħ +ë° Ī +ï® IJ +ðŁı ¡ +âĨ ª +âĵ Ķ +âľ Ĭ +Ï ² +Ü IJ +ðŁĩ ³ +Ö Ĥ +âľ ı +ìĸ Ĺ +ì« Ļ +ðŁĺ ² +Ä Ń +âĻ Ń +âĶ ı +âĹ Į +ðŁĺ ¯ +áµ Ĵ +íĬ ł +Ä · +Ê ģ +ठŁ +á¹ ģ +á¼ ° +á¿ Ĩ +â « +â« ¸ +ëį « +ì³ ĩ +ì¼ ¤ +íĽ ¨ +ðŁĴ Ł +Ê Ģ +Ê ³ +ëĵ IJ +âķ ° +âĿ ĩ +Ç Ģ +Ç Ķ +É ´ +âĺ ļ +âĺ ľ +ê¶ Ĥ +ì« Ĵ +ì± Ī +ðŁĩ ¨ +ðŁİ ¥ +ðŁĵ Ŀ +Ä § +ðĿ ijIJ +Û Ī +ठ¬ +ì¬ IJ +íĹ ¥ +âĻ ¨ +ðŁį ´ +ï¹ ı +Ë ĭ +ðŁ¥ º +âĸ ¨ +íĻ ĭ +âĪ ħ +ëģ Ļ +ëŀ ł +ìĨ ¥ +âĢ ĸ +ðŁ¤ ĺ +ðŁIJ » +áµ ķ +Ç Ŀ +âĺ ı +ïº ļ +ï» Ĥ +ðŁļ © +ìĪ Ł +Ë Ĭ +⤠µ +ðŁĴ § +ã ħį +ë© © +Æ ¬ +Î ĩ +âĩ § +âĵ ļ +ìĤ ¯ +ìĪ ¯ +ëĨ ĭ +âľ ¯ +ðŁļ Ģ +Ú ĺ +Ú ¨ +âľ Ń +ê² ħ +íĮ ° +íľ Ļ +ðŁĮ Ĭ +ðŁİ ĵ +ðŁĺ Ļ +Ë ĥ +ðŁĴ ģ +ðŁij İ +âĺ ¹ +ðŁĺ « +ðŁĴ » +ëĤ µ +ìĿ Ĭ +íĮ » +Ò ³ +á½ ² +âŀ ŀ +ëĤ ij +ëĿ Ī +ì£ ¤ +ï» ¯ +ðŁĩ © +ðŁ¥ ³ +âĴ ¼ +ðŁ¦ ĭ +âĺ Ĥ +ðŁĺ ° +ðŁĻ ĥ +ðŁĺ Ĵ +Û İ +Ï ķ +Ḡ¤ +ë£ ½ +ìĬ ¥ +ðĿij ī +É IJ +ðŁį İ +âķ ¯ +âķ ¹ +ຠ² +ï¾ ł +ë¹ ķ +ïº Ĩ +Ê º +Ó § +âĨ ł +ëĥ ĩ +ìİ Ī +ìŁ ¤ +ï± ¢ +âķ ¬ +âĺ ł +ðŁİ Ĭ +ãį į +ãİ İ +âĺ ° +âľ ĥ +ãħ ī +ë¯ Ī +ë¹ ¤ +ìı Ń +ðĿij ¢ +ðŁIJ ¾ +Å ĭ +ðŁij ¶ +âĶ Ľ +ï¿ ¢ +áĥ ¡ +Ä ¼ +Å Ĩ +Ñ IJ +ìĥ Ľ +ìĺ Į +ì± ¤ +íħ ģ +íļ ĥ +ï³ Ĭ +ðĿij Ķ +ðŁĩ « +âĭ ° +ðŁĺ ¨ +âĤ © +Õ ¬ +Ḡį +á» ´ +âĨ ĺ +âĺ ¯ +ãħ ı +ìł ¬ +âĻ Ķ +ðŁĶ Ķ +ðŁĺ ł +ðŁĻ Ĭ +à® ľ +á¹ ħ +âĹ IJ +âĿ Ī +âŀ ½ +ìĥ ħ +ðĿij ł +Æ ¢ +âĭ Ļ +ê° Ľ +ëĿ µ +ë£ Ł +ìı ľ +ïº ģ +ðŁĴ Ń +âĬ ĥ +ðŁIJ ° +ãħ Į +Ü ĵ +âŀ ķ +á½ ģ +ìķ ³ +ðĿij Ŀ +ðŁİ ¬ +É ¡ +à¤ Ĺ +áIJ ī +ì© ľ +ì¶ § +ï³ ī +ï» ħ +ðĿIJ ŀ +ठ¶ +ðŁĵ ¢ +ðŁį ĭ +ðŁĴ ħ +ï¾ ķ +⬠Ĩ +âĪ µ +ðŁ¤ ij +áĥ £ +Æ Ħ +Ñ ¹ +á¼ Ķ +ê° ł +ê´ Į +ê· IJ +ëĽ ´ +ì± ĺ +ï® Ń +ïº ¹ +ïº ¾ +âľ Ĺ +âĿ ¦ +ðŁij ¦ +áĥ Ĺ +Ù ² +á½ ´ +âĪ ı +âľ ® +ê¹ ° +ë² µ +ìĦ Ģ +ì© Ŀ +ïº ŀ +ïº ½ +ðŁĩ Ń +Ë Ĥ +ðŁį ij +ðŁį Į +ðŁĶ » +ê¹ ¬ +ìĬ Ń +ìľ · +ðŁĽ ij +Ç § +ë¼ Ľ +ïº ¡ +ïº º +ðĿij ļ +ðŁĵ ¦ +ðŁĶ İ +ðŁĹ ĵ +áĥ Ķ +âľ Ĵ +âľ ¡ +ðŁĮ µ +âĶ ķ +ëĢ Ŀ +ðŁį Ĭ +âĺ ĥ +ìĺ ħ +ঠ¬ +ðŁ¦ ģ +âİ ¯ +ðŁIJ ķ +Ñ ¿ +ॠ¤ +༠ĭ +ê· Ī +ì« Į +ðŁĩ ° +âĿ ī +ì« Ģ +íĿ Ħ +ðĿIJ ¢ +ðŁļ ¨ +âĻ ¤ +ðŁĺ © +ðŁį į +ðŁĺ ij +ðŁļ ļ +Ö Ħ +ë « +ë« ¼ +ठı +á¿ · +âĮ © +âĺ IJ +âŀ £ +ê¸ ± +ê¼ ¿ +ëĦ Ŀ +ìı ´ +ìļ ¤ +ì¿ ± +íİ IJ +ðŁĴ ¢ +ì´ IJ +âĩ ij +âĶ ĵ +âģ ¾ +Ü Ŀ +ðŁ į° +â´ ° +Æ ı +Ï Ł +Ú º +Û ĥ +áĦ Ĵ +âĪ Ł +âĿ į +ãĦ ² +ìľ ħ +ì¤ ı +ðŁĩ ² +êº Ħ +ðŁİ ¤ +âľ £ +⸠Ŀ +ï¸ µ +ຠ§ +áĢ Ļ +âķ ł +Õ ¯ +âı © +ðĿij £ +ðŁĴ £ +Å ĺ +ॠIJ +âģ ĥ +âĮ ĺ +ê» Į +ìĮ Ķ +ðĿij ĺ +ðŁ¤ ĵ +Õ ¿ +à¤ Ń +âĮ ļ +âľ Ŀ +ðŁIJ ¼ +Ë Į +âķ ļ +ï¦ Ĺ +âĿ ķ +âķ £ +ðŁIJ ± +à® ¤ +Ñ ¾ +ठļ +ठľ +ìĪ Ħ +ìļ ľ +ðŁİ ® +É Ĵ +Ú · +ຠį +âĨ µ +â Īĺ +âĿ Ĭ +ë¿ į +ìIJ Ī +ìļ ĺ +ì¯ § +íĥ ¯ +ìĸ ı +ï¸ ° +ðŁĩ ¯ +ðŁ§ ļ +ðŁĺ µ +ðŁĺ · +ðŁĮ ³ +ຠ¥ +Ä ī +Ä ¥ +âľ ¶ +á¿ ¾ +âĬ ± +âĺ ¾ +ê° ī +ê¼ ° +ëº ij +ðŁĶ Ĭ +ðŁĸ IJ +Å ¤ +Ò « +à® ® +âĮ Ī +âĹ Ĺ +ëĦ µ +ëħ ľ +ëľ ¹ +ðĿij ¥ +ðŁĴ ¿ +ðŁĽ Ĵ +Ê Ĵ +áŀ ĵ +ðŁIJ Ŀ +ðŁ¦ Ħ +ðŁį · +âĺ Ł +ï¸ ¶ +ðŁ¤ Ł +Ô ± +âĨ ² +âĪ İ +âľ « +ëĩ ½ +ëı IJ +ëķ Ħ +ï¦ ³ +ï§ Ŀ +ïº Ļ +ðŁij » +ðŁĵ º +êµ ¼ +ìĮ © +ðŁĮ ² +È ± +íĶ ķ +ðŁĺ ¤ +ãĮ ¢ +Ê Ķ +ठ¡ +á¼ Ī +ëİ ĥ +ë© ± +ë® Ī +ðĿIJ « +âĬ ķ +ëĥ ł +ë» ¬ +íĭ Ķ +Õ ¤ +á¼ ± +âľ ¥ +âĺ Ħ +âĪ ¥ +âļ ķ +ðŁij Ħ +ðŁİ ħ +ຠĻ +âĶ ¬ +á½ µ +Õ ¾ +Ö ģ +âĹ Ķ +ê¿ į +ëĸ µ +ë© İ +ë® ´ +ìķ ´ +áĥ ľ +á¼ ¡ +âĶ Ĭ +âķ ® +âĹ ¼ +ðŁį ¾ +ðŁĽ į +ðŁij Ĺ +ðŁ¤ ŀ +âľ Ħ +Õ Ģ +ঠ² +Ë ī +⣠¨ +Ä ¯ +Ï Ĭ +á´ ľ +ë¹ ³ +ï³ ĭ +ï¿ ł +Ä ª +âĤ ¸ +âľ ± +ê» IJ +ëĭ » +ë§ ¸ +ìŀ ¿ +ì© ¨ +ì ŃIJ +ì° ¿ +íħ Ł +ðĿIJ § +ðĿij ij +ðŁĮ İ +ðŁĵ ® +ðŁķ Ķ +âĹ Ļ +âĹ » +âŀ § +ìŁ Ŀ +âľ ¬ +ãĥ ° +âģ Ī +â ĵĺ +ðŁ ĴĮ +ï¬ ĥ +ຠĶ +ìĶ ° +ðŁĺ ª +× Ģ +ìĥ ¨ +ïŃ ĭ +ðŁį ķ +ðŁĺ ´ +Ï ³ +á¼ Ħ +á½ ħ +âĩ ¢ +âķ Ń +ìĺ » +íĬ ¤ +Ü ĺ +⤠´ +âĹ į +áŀ Ł +ðŁį º +áŀ ļ +ðŁı Ĭ +ðŁIJ · +Ê Į +á½ º +âģ » +ê½ Į +ëĪ Ĺ +ë Ĺı +ì¿ ° +íĢ ¼ +íį ħ +ï· ² +ðŁĮ ı +ðŁį « +ðŁį ³ +ðŁİ ° +ðŁij ° +ðŁĴ ² +ᥠĻ +ðŁIJ Ł +ï¿ ¡ +ðŁĹ £ +ðŁį ľ +âľ ² +ãİ ¢ +ðŁĶ ° +á¼ ¸ +á½ ij +Ä İ +áĦ Ģ +âĻ ķ +ëł Ŀ +ìĪ ´ +ïŃ Ń +Ó ľ +Ô Ģ +ëĢ ľ +ëĥ Ķ +ìĬ Ľ +ì« ij +ìº ¥ +ìº ¬ +ðĿij ¦ +ðŁĶ ¶ +ì¾ ¨ +ðĿIJ ļ +ðŁį » +ðŁĴ į +ðŁ¤ ¡ +ðŁķ Ĭ +â½ ĩ +âĵ IJ +ðŁį Ń +ðŁį ª +ðŁĶ Ĩ +Ò ¡ +á´ ĩ +É Ĺ +Ü Ķ +âĦ İ +âĿ ĥ +ëĹ Ģ +ï² Ķ +ïº Ī +ðĿIJ » +ðŁĴ Ĭ +ðŁļ « +Ñ ° +Ñ ³ +ठ· +âĹ ł +ðŁij ¤ +ï¾ ĩ +âĺ ĵ +ðŁį µ +ðŁ¤ ¨ +âĸ Ń +à® ´ +Ü ¢ +Ü ¬ +à´ ® +ðŁķ º +Ô ¹ +Õ £ +à´ ¯ +á ´Ģ +âĮ ī +âľ IJ +âŀ ¦ +ê¹ ½ +ëĮ ľ +ðŁı ¥ +ðŁĵ © +Ò ¹ +Ó ĺ +ठħ +âĿ § +Æ Ĺ +âĹ ½ +ðŁij « +ðŁİ § +ðŁij £ +âľ » +ðŁĻ ħ +ðŁĺ ĸ +ðŁĴ ® +ຠ° +ðŁĶ ľ +ðŁį Ħ +ðŁ¤ Ŀ +á ĥĿ +áŀ Ģ +âĩ ¦ +Ê ¾ +Ò ® +Õ ¼ +ठĨ +âĹ ħ +âļ ĵ +âļ ĸ +ê¿ © +ë¯ Ħ +ìIJ IJ +ìŀ ° +ì§ Ń +íĭ ĭ +íİ ¨ +íĻ § +ï² ij +ðŁİ Ĺ +Ù ³ +ðŁij ¸ +ঠ® +ðŁij ķ +Ú µ +âĢ ¾ +âŀ ° +ðŁij ¯ +ðŁİ ¼ +ðŁı ģ +Ä º +Ê ı +Ú ³ +âı ± +ê½ Ī +ëĿ Į +ìĮ ī +ìĹ · +ìŀ ´ +íĹ ¹ +íľ ¨ +ðĿĹ ² +ðŁĮ IJ +ðŁİ Ļ +ðŁı µ +íĽ Ļ +ðĿij ħ +ðŁĺ ¶ +âĵ ħ +âķ ¥ +ðŁį ı +ï¦ İ +Õ © +ðĿIJ Ħ +Ó £ +Ú ¿ +âĻ ļ +ðŁĶ Ĺ +Ḡ« +âĭ ® +âĸ ¦ +⼠½ +âľ µ +ãħ Ĩ +ãħ Ĭ +ëĦ Ļ +ëĿ ¨ +ë¥ Ħ +ìĦ ¦ +ì§ ° +ì§ ¹ +íī Ī +ï§ ij +ï» ĩ +ðŁĮ ¾ +ðŁı ĸ +ðŁIJ ij +ðŁĴ ³ +ðŁĵ Ĩ +Û ĩ +Ü ķ +á½ ½ +ëĦ ľ +à´ ² +à´ ³ +àº Ń +áĥ Ľ +âĿ Ķ +âij ħ +áĥ ¥ +ðŁĵ ħ +âŀ ³ +á´ µ +ï¹ ¡ +ï¹ ¶ +Î Ĩ +ठ¥ +áī µ +âĿ Ļ +âĿ ± +ëī ł +ëİ ł +ëı Ľ +ë¿ ħ +ìĶ ¸ +íij ¯ +íŀ ī +íŀ Ľ +ï§ Ħ +ïŃ ĺ +ïº ¦ +ï» ¸ +ðĿij Ĥ +ðĿij ı +Ï ij +Ú ł +áĢ Ķ +áŀ Ķ +á¹ ¢ +ëĦ ¸ +ðĿIJ ¨ +ðŁĩ ´ +Õ ° +ðŁij ł +ðŁį Ĩ +ðŁı Ģ +ðŁ ijIJ +ðŁį ĩ +ðŁIJ £ +áĪ Ń +Ü ª +ðŁ ĮĢ +áŀ ĺ +âĩ Ħ +ðĿIJ Ģ +Ê Ļ +âĶ ¼ +ðŁı ¿ +Æ · +È ł +Ñ ½ +âĤ ¨ +ê´ Ń +ê¹ » +ëĶ ¨ +ìĪ Ģ +ì¾ ° +íĨ Ī +ï® § +ï¯ ½ +ðŁĶ ħ +ðŁĶ ® +Å ¢ +Ê ° +Ñ ¸ +ठ£ +âĬ Ĺ +ëª Ħ +ï¹ · +ïº ħ +ðĿIJ µ +ðŁĮ ¶ +ðŁĵ ° +ðŁĶ · +ðŁĸ Ĵ +ðŁ¤ ² +ëī © +ðŁİ Ĩ +ðŁ§ IJ +ðŁį ® +âĨ º +âĿ ¢ +ðŁij ª +ðŁij ± +âĨ ¡ +áŀ ı +Ú ķ +ðŁį ¹ +ðŁĴ Ģ +Ë ® +Ó ¨ +Ö ħ +ठĩ +âĤ ¡ +âĪ ķ +âĺ ī +ê¹ ¼ +ê¼ IJ +ì½ ¸ +ðĿIJ ¬ +ðŁı ħ +ðŁij Ļ +ðŁĴ ī +ðŁ¤ Ļ +È ĺ +É ³ +É ¹ +Ù º +áĢ Ħ +á¿ ³ +âļ ĺ +âĿ Ĩ +ëĨ ī +ìĸ į +ìĺ ĩ +ì¥ ĺ +íĸ ħ +íĻ ij +ï® Ĭ +ï¿ Ń +ðĿĴ IJ +ðĿĹ ¢ +ðŁĶ ĸ +ðŁĶ ¨ +ðŁļ ij +ðŁļ ² +Æ ¸ +âĹ ¥ +ðĿIJ Ń +ðŁį ½ +âĹ ij +âĵ ĩ +ðŁĶ ± +âľ ¼ +ï¹ ĥ +âķ ± +ãĢ Ĺ +ðŁı ĭ +ðŁļ ´ +ðĿIJ ® +Ä ļ +Õ ı +Ä ¶ +áĥ ij +á¹ ¬ +Ä Ī +Ä Ĵ +Ò ° +Ó ķ +â IJ +âIJ £ +âĹ ¢ +âļ Ļ +ãħ Ĺ +ê° ¬ +ê³ ª +ê» Ģ +ëĦ ´ +ëİ ģ +ëĿ Ķ +ë¬ ½ +ëŃ į +ìĩ ³ +ì° ¹ +íĮ ¹ +íŀ Ŀ +ï® ĭ +ï ¶Ī +ðĿĴ Ĥ +ðŁ¥ Ģ +ðŁ¦ ħ +Ê ĺ +á¼ ij +âģ İ +ðŁį ŀ +âĨ ĸ +âĨ Ļ +ðŁİ ĥ +âĦ ¡ +âĭ ± +ðŁĶ į +ಠ¨ +áµ ĥ +âĶ « +⦠¿ +ðŁĩ » +Æ ¤ +Ò ı +Ò · +Û ī +à® ķ +Ḡ³ +ï¬ ± +ðŁĨ Ķ +Ú Ń +Û ¦ +áħ ¡ +âĦ ¹ +ê¿ İ +ëķ Ķ +ë¼ ī +ìļ § +ì² µ +ì´ ¨ +íĬ Ī +íĸ IJ +ðĿĹ ĺ +ðŁĩ ¿ +ðŁİ ĸ +ðŁij ħ +ðŁ ĵĺ +ðŁļ Ļ +ðŁĽ µ +ච½ +⼠µ +ðĿIJ ³ +ðĿIJ ¸ +âļ Ķ +ðŁij Ń +Ó ij +âĶ ¯ +ðŁħ ¿ +ðŁĺ ¹ +ï¿ « +â¼ ¤ +ðŁĴ ĩ +ðŁĵ İ +ðŁĸ ĭ +ঠ¸ +ðĿIJ į +Ä ² +Ï ĭ +Ñ ¬ +Ú ¬ +Ü Ĵ +á´ ¬ +ï¨ Ħ +É £ +Ë ij +Ï µ +Ò Ŀ +Û ¥ +Ü ł +๠Ľ +áĥ ķ +áĬ ķ +á¾ ¶ +âĤ · +âĩ ¾ +âķ © +âĸ IJ +âĺ ª +âĺ ® +âĿ ļ +âĿ Ń +âŀ ± +âµ İ +ãı Ĭ +ë© ĵ +ìĹ ¾ +ìª Ħ +íĵ Į +íķ ¼ +ïŃ ¬ +ðĿij Ĩ +ðĿij ŀ +ðĿĸ Ĭ +ðŁİ ¸ +ðŁı Ħ +ðŁij µ +ðŁĴ ł +ðŁĶ ĺ +ðŁ¥ Ĥ +Å ª +à· ĥ +á´ ¼ +âĬ ° +ë³ ı +ë´ £ +ï¥ ľ +ðŁĵ Ī +ðŁķ ¯ +ðŁ§ Ģ +âĻ IJ +ðŁĨ Ĺ +ðŁĵ ķ +ðŁ§ ģ +Ü « +âĿ IJ +Õ ķ +འķ +âŀ Ŀ +ঠķ +ðĿIJ ¶ +É ¢ +Î Ħ +áĨ ¢ +âĤ ± +Õ į +à¡ ķ +á´ ° +Ḡ© +⼠· +âĿ ® +ê¡ ĵ +ëı ¤ +ëĹ IJ +ëµ Į +ìij Ī +íı ¿ +íĹ µ +ðĿIJ İ +ðŁĨ ĺ +ðŁı Ł +É ¥ +Õ » +à¡ Ķ +ठĸ +á´ ¸ +âİ Ļ +âİ ¥ +âı ³ +ëģ ķ +ëĬ ī +ì¡ į +ì¹ ¡ +ï¦ ¶ +ï¬ Ł +ï® « +ï® ¯ +ï± ĥ +ï ·» +ïº µ +ðĿĹ Ķ +ðĿĹ ¡ +ðŁİ ¨ +ðŁĶ Ĵ +Ú Ľ +ठ§ +âŀ ¹ +áĢ Ģ +ðŁį ħ +âĹ ¤ +ठł +ðŁIJ ¥ +áĥ Ĵ +ðŁı Ŀ +ðŁį ¼ +ãĮ § +âĿ Ľ +ðŁIJ Ī +ঠ¯ +áĢ ŀ +ãĢ ĸ +áŀ Ļ +ঠª +Õ Ĩ +âĬ Ĩ +âľ ¾ +ðŁIJ Ĺ +ï¹ ¿ +Ä ¦ +Ü Ł +ಠł +ಠ¥ +áŀ ī +á´ ¥ +á´ © +á½ Ģ +á½ ¡ +âĨ ķ +âŀ ¯ +ê¡ ij +ëij £ +ë± Į +ìĪ ij +ìľ Ķ +ìŀ ½ +ì¨ į +ðĿij Ģ +ðŁĮ Į +ðŁį ¦ +ðŁį © +ðŁIJ ļ +ðŁĵ Ĵ +ðŁĵ ¹ +ðŁ¥ ij +Ä ĭ +Ë Ĺ +Ñ « +Õ ¢ +Ú ° +â ĮĢ +âĹ Ĥ +âĹ £ +âľ Ľ +âĿ Ĵ +âĿ ĺ +âŀ Ļ +âŀ ² +ãİ į +ê¡ IJ +ëŀ ĸ +ìĬ Ŀ +ìĽ ¤ +ì¡ ĭ +ì¨ ° +íĹ Ļ +ï¥ ¸ +ï³ į +ï» İ +ðĿij ĵ +ðŁĵ Ĭ +ðŁļ ¼ +ï¦ ģ +ðĿķ Ĵ +ðŁ ijľ +ðŁij ¿ +ðŁĩ ½ +à· Ħ +âĸ ´ +ãį ī +âĬ ĩ +ðŁ§ ¸ +Ú ¡ +â¾ ĥ +ðŁĹ » +âĵ ij +ðŁ¤ ¸ +ðŁ¤ ¯ +êĴ ° +ðĿIJ ĵ +âĶ ´ +êĴ ± +áĢ ĺ +â ĽĦ +ï¹ ¹ +Ó Ķ +áĥ ± +Ü ¡ +ß ŀ +âĻ ı +âľ ¸ +ìij ¨ +ðĿIJ Ŀ +ðĿIJ ¥ +ðŁį ī +ðŁij ¼ +ðŁ¥ Ŀ +Æ Ķ +Ý ¬ +ठ« +ຠļ +á´ ´ +á½ ĸ +âĤ ¶ +âİ ¢ +âĿ ħ +⣠« +ãİ Ľ +ë® ¨ +ëº Į +ë¼ ĺ +ìĨ Ŀ +ìľ ³ +ìŀ Į +ì£ Ĺ +ìª ĺ +ì» ¹ +ï· ¼ +ïº Ĥ +ðĿIJ ´ +ðĿIJ ¼ +ðŁĮ ļ +ðŁı « +ðŁĴ ¤ +ðŁĴ ¶ +ðŁĴ ¼ +Ê ķ +Ê ½ +â² Ł +ãī ł +ê¡ Ĵ +ëľ Ģ +ìĥ ¾ +ì¸ ¤ +ï¥ ģ +ðĿļ Ĭ +ðŁļ ĥ +âŀ Ľ +ìħ ´ +áĦ ĭ +âĩ Ĺ +ï§ · +âĺ ĸ +ðŁIJ ¦ +⸠ľ +ðŁĴ ´ +ðŁ¤ ļ +ãĬ Ĺ +âĮ Ľ +áĪ Ľ +༠º +â½ ī +ðŁı ¢ +âĵ ŀ +âĺ ½ +ãĢ Ļ +ðŁ¤ ® +Å IJ +áĥ ¬ +ðĿĹ » +ðŁį ĸ +Æ Ĭ +Ê Ł +ß ĭ +ठĭ +áµ Ķ +á¿ ĥ +âĦ ī +âĮ ĭ +âı ² +âĵ Ī +âĵ ¢ +âķ Ķ +âļ ij +âĿ ĭ +âĿ İ +â µľ +âµ £ +ëĴ Ī +ëľ ģ +ë¶ ĩ +ìį » +ìĺ Ń +ì§ ¢ +íĹ Ģ +ï§ Ĭ +ï ¬¸ +ï± ¡ +ðĿIJ º +ðĿij § +ðĿĺ ¦ +ðŁĵ ¥ +ðŁĺ Ł +ðŁ¥ IJ +Ä ĸ +É ¨ +áĢ IJ +áĥ ĵ +Ạĵ +á¼ ¶ +á½ Ħ +âĤ ¤ +âĮ ľ +âĮ Ł +âİ ł +⼠¸ +âµ į +âµ ı +âµ ĵ +ãĢ ĺ +ë ·¸ +íħ ¼ +ï¦ Į +ïŃ Ħ +ïŃ İ +ðĿĻ ļ +ðĿļ ĺ +༠ĵ +ëŃ ħ +áIJ Ľ +ãİ ¾ +ï¨ Ģ +ðŁĹ ½ +âĻ ŀ +Ë ĸ +âĹ ŀ +ðŁ¤ « +ðŁĺ Ĺ +ï½ ¦ +ðŁ¤ ¢ +âģ ĩ +ãĢ µ +ðŁį Ķ +áĬ ł +ðŁĺ ¼ +ðĿĹ ® +ðŁIJ ³ +ðĿIJ ĭ +ðŁĨ ļ +ðŁĶ Ľ +Ñ » +Ü ¨ +à® ² +âľ ŀ +âµ Ļ +êµ £ +ì¸ ¨ +ðĿ IJľ +ðĿĺ ° +ðŁĶ ½ +Ç » +Ç ¿ +Ê ĩ +Î IJ +Ð Ģ +Ñ ¡ +Ñ ² +Ò Ĵ +Ù ¶ +ß ķ +ච± +áIJ ģ +âģ ŀ +âĸ § +⼠Ī +âľ ľ +âľ ¹ +⣠¹ +⤠ĩ +ê² Ĭ +ê¾ ľ +ë¯ IJ +ë³ IJ +ìħ © +ìIJ ¬ +ìij ¹ +ï¤ Ķ +ï¦ ļ +ï¬ ł +ïŃ Ķ +ïº ¶ +ðĿĴ ı +ðĿĸ Ĩ +ðĿĹ ¶ +ðŁı Ĥ +ðŁIJ ½ +ðŁĴ © +ðŁĵ ½ +ðŁĹ ¨ +ðŁĹ º +ðŁĺ ¸ +ðŁ¥ § +Å Ĺ +Ê İ +Ò Ļ +× ² +ठĪ +á¼ ´ +á¿ ij +âµ ī +ãħ ĵ +ì½ ´ +ðĿĸ ĵ +ðŁĵ Ĺ +ðŁĶ ª +ðŁĸ į +Ï Ĵ +ðŁij ¬ +áĥ Ļ +âĨ ¬ +âĶ ¤ +⼠¹ +âĻ Ł +ðŁļ ¶ +ðŁij ¾ +âĪ ĭ +ðŁIJ ¯ +à¼ İ +âľ · +ï¨ Ļ +âĶ » +ðŁij ¹ +áĦ ī +ຠª +â¾ ı +â½ ħ +ãİ ĸ +Ñ ´ +Õ ® +Ú ¼ +áĢ ķ +áĨ ¼ +ëŃ ı +ðŁIJ ¸ +ðŁļ £ +Æ Ŀ +Ô » +áĥ ¢ +ðŁį ¯ +É ¦ +Õ ¦ +âĻ ĭ +ï¬ « +ðĿĹ ¦ +Ç ļ +É ± +ठī +á´ Ħ +âĻ ĵ +⼠° +⣠ª +ëĥ ĺ +ë¢ ¸ +ìĤ ij +ï® Ķ +ðĿķ ĸ +ðĿĹ § +ðŁĩ ¼ +ðŁĵ ĭ +ðŁļ ľ +ðŁ¥ ¤ +Ä ® +Å · +ß Ĭ +ॠ¥ +à® ª +áŀ Ħ +áµ Ģ +Ḡħ +á¼ ¢ +âĪ Ŀ +âĬ ¹ +âĴ ¶ +âķ ´ +⼠± +⼠³ +⼠º +âŀ Ł +ãı Ħ +ê¸ Ķ +ê¹ Ł +ëĩ ° +ë¹ » +ìĤ ¥ +ìĽ » +ì° Ł +íĥ ° +íĨ º +íļ ½ +ï¤ ´ +ï¥ ¾ +ï³ Ŀ +ðĿIJ ¦ +ðĿĴ ľ +ðĿĴ Ł +ðĿļ Ĺ +ðŁİ Ń +ðŁı ĵ +ðŁı ³ +ðŁı º +ðŁIJ į +ðŁij ĥ +ðŁĴ ı +ðŁ¤ ĸ +ðŁ¤ µ +Õ ² +âµ Ķ +ëĺ ¬ +ï¦ £ +Ê Ĥ +áĨ « +áŀ ij +ðĿĸ İ +ðĿĹ ĸ +áĦ ĥ +âĩ ł +áĢ ¡ +འĦ +âŀ ¸ +ï¦ Ļ +âĩ ļ +ðŁIJ ¬ +ðŁIJ ¢ +â¾ Ĵ +ðŁIJ ¤ +ðŁĶ « +ãĢ ŀ +ï¸ º +ðŁĺ º +â½ ´ +ðŁĨ ķ +âģ ¿ +ðŁį ¨ +ಠķ +ðŁļ ĺ +áŀ ħ +ঠħ +áŀ ¢ +ਠľ +â ļĮ +ãĢ ½ +à· ´ +âĵ Ľ +áĢ ľ +ìĨ ¨ +Ë © +Ü Ĺ +âĭ ¼ +ðŁĻ ī +Å Ĭ +É ĵ +Ê ² +Î ° +Ñ ¼ +Ô ¿ +à¡ IJ +༠ľ +འ¦ +ᶠľ +âĤ ² +âĨ ¨ +âĬ ¥ +âķ § +âĻ ľ +ãĭ ¡ +ë´ ¬ +ë¶ ij +ìī ¿ +ìİ ħ +ìł ± +ì° § +ï² ¡ +ðĿĴ Ľ +ðĿķ £ +ðĿĹ ľ +ðŁį ² +ðŁİ © +ðŁIJ IJ +ðŁIJ ł +ðŁij ½ +ðŁĴ ij +ðŁĵ ľ +ðŁķ µ +ðŁ ļĮ +ðŁĽ £ +Ê ĭ +Ó ¯ +Ù ¸ +ß Ķ +ß Ļ +à¡ ĵ +á´ į +Ḡ¿ +âı º +âĸ ¥ +ë¤ ½ +íľ ij +ðĿIJ ¹ +ðĿĸ Ķ +ðĿļ İ +ðŁĵ Ħ +ðŁ¦ · +Æ ĥ +ঠŁ +âĮ Ĥ +âĺ Ń +â² ļ +ëĿ ķ +ðŁİ £ +à® ĩ +འĨ +áħ µ +áĹ ľ +âĢ ½ +âĮ £ +âģ ½ +ðŁĵ ¬ +ðŁ¤ § +âĩ ª +â½ £ +âĹ Ł +ï¨ Ĺ +êĴ ª +ðŁĽ Ģ +Ç Ĥ +ðŁ¥ ¶ +ðŁİ į +ï¿ © +ðŁij Ĵ +áµ Ī +ï¸ ¿ +áħ © +â¾ ¦ +à° ¤ +á´ ĸ +ਠ¬ +àº Ĺ +༠» +Ñ º +ਠª +á´ ³ +ðĿIJ Ī +à» Ģ +á´ ¿ +âĤ į +âĩ ¡ +⼠ª +ðĿIJ Ĥ +ðĿĴ ķ +ðŁ IJľ +Ê į +Ñ ± +འĥ +ë® IJ +ìĽ ¡ +ìľ ģ +ðĿIJ ¿ +ðĿķ ł +ðŁij Ľ +Æ ª +Ï º +Ó ¬ +Ù ¿ +Ý £ +ઠī +à® ¹ +འij +áĨ ¯ +áµ ĩ +âĩ ¥ +âı ª +âĻ ° +âļ Ń +âļ ¾ +ãħ Ħ +êĢ ° +ê° Ĺ +ê² ĭ +ê² » +ê¶ ľ +ê¼ ĩ +ê½ ¹ +ëĤ Ł +ëħ Ī +ëĭ ¢ +ë§ Ł +ëª Ĩ +ëµ Ģ +ì½ ± +íĩ ĺ +íľ ľ +ï§ ¾ +ï± µ +ï² ¢ +ï² ¤ +ðĿĴ Ĭ +ðĿĺ ¯ +ðŁį Ĺ +ðŁı į +ðŁIJ ĺ +ðŁĵ ¡ +ðŁĶ ŀ +ðŁ¤ ³ +ðŁ¥ ģ +ðŁ¥ Ĺ +ðŁ¦ Ĭ +Ä µ +Æ ¦ +Ç µ +É ¯ +Î ı +Õ Ħ +Ü ¥ +འģ +ᨠł +âķ « +ãİ ī +ë· ´ +ìĨ İ +ìİ Į +ì£ µ +íĽ ł +ï§ ª +ï³ ı +ï» º +ðĿij ģ +ðĿij ĩ +ðĿĴ Ĩ +ðŁİ ł +ðŁIJ Ķ +ðŁij Ł +Å ĸ +ठĮ +á¾ ½ +ê¦ Ĵ +à® Ł +á´ ± +ðŁı ° +ðŁIJ ŀ +འĢ +áĢ ħ +âĬ ¿ +ðŁIJ § +ἠģ +â¼ Ī +âĶ ¿ +ðŁ¥ ´ +â¼ ¿ +ðŁ§ ľ +ãħ ¿ +âĦ « +ãĢ ³ +ãĬ Ļ +â¼ Ģ +ï ¦¬ +ðŁı ¬ +ðŁĵ » +áĬ Ľ +áĦ ħ +ຠĬ +ຠĽ +áħ ³ +ðŁij ® +à® ± +âĺ ĩ +ðĿIJ ı +à´ µ +à» ģ +འı +འ¢ +ᥠ± +âĤ £ +ï¥ ¦ +ïŃ Ļ +ï´ © +ï¹ Ĥ +ðŁį £ +ðŁķ ¹ +Ï ĸ +ච¸ +ຠ¢ +áĭ Ń +âİ Ŀ +âĹ Ŀ +âĻ Ī +âĻ İ +ê½ ¥ +ì³ Ķ +ì¼ ij +ï± ° +ðĿij ĥ +ðŁĮ ª +ðŁį ¡ +Å İ +Ê ¦ +Ñ § +Ó İ +Ô ´ +Ú Ī +ß ĵ +ß § +ठĶ +áĪ « +áĪ µ +áĹ © +á´ ł +á¼ ł +âĢ Ĺ +âģ ij +âĦ ı +âĸ ĩ +â² £ +ãĦ ³ +ãī ® +ê³ Ĺ +ëĦ Ĵ +ëĸ « +ë¡ Ħ +ë¹ ° +ë½ ģ +ìĦ ģ +ìĮ ĺ +ìŁ Į +ì³ ī +ì¼ ķ +ï¬ » +ï³ İ +ï¹ ¸ +ï¹ ¾ +ðĿIJ Ĩ +ðĿij · +ðĿĽ ¼ +ðŁİ ı +ðŁİ ŀ +ðŁIJ Ļ +ðŁij Ĥ +ðŁĵ ģ +ðŁĸ ± +ðŁļ į +ðŁļ § +ðŁĽ ¡ +ðŁ¤ Ĵ +ðŁ¥ ŀ +ðŁ¥ © +ðŁ¦ Ģ +ðŁ¦ ĸ +Ë ¢ +Ü ļ +à® µ +áĢ ģ +áī ° +âı Ń +âĻ ¿ +ê³ ĺ +ëı Ŀ +ëķ ĥ +ìħ Į +ìĴ ¸ +ìĽ Ł +íħ Ħ +íľ « +ï§ ĺ +ï¿ ¬ +ðŁı · +ðŁĶ § +ðŁ¥ Ī +Æ ĸ +áŀ ĩ +áŀ ĸ +âģ º +âĹ ľ +âŀ © +ê¦ Ń +ëĻ ¤ +ïŃ ¼ +ðĿĻ ĸ +ðĿĻ £ +ðĿĻ ¤ +ðŁĮ Ŀ +ðŁĶ ij +ðŁĽ ł +ຠĩ +âĺ £ +ãĦ ¨ +ðĿĸ Ĺ +Ó ĵ +âĨ £ +ðŁ¥ ī +ðŁĮ ł +ðŁĺ ½ +ãİ ł +Å § +ðŁIJ Ĵ +ï§ IJ +ðŁĺ ¿ +âĪ ¬ +ðŁIJ ® +⣠± +ಠ¡ +â¾ ¼ +à° ² +Ë ¶ +âĸ ¿ +Õ Ī +áŀ İ +áħ ¥ +áŀ Ĺ +Õ § +ðŁ¤ IJ +ðŁį ł +ঠ¤ +චº +âĻ į +ìĺ Ļ +íĺ ĵ +ï¹ º +ðŁĽ ³ +Å ī +á´ İ +âı ľ +âĶ ³ +ê¸ · +ì¡ Ķ +ðĿĴ Ī +ðĿĴ į +ðĿĴ ¹ +ðĿĵ ĩ +ðĿķ Ł +ðĿĹ ¹ +ðŁĮ ħ +ðŁı ´ +Ä Ķ +Ä ¤ +Å µ +Ç ¾ +Ï ŀ +Ï ¶ +Ô ³ +Ü Ĩ +ß © +à¡ Ĵ +ठĺ +චļ +འĸ +áģ Ĭ +áĥ ŀ +áĦ Ĥ +áĭ « +á´ º +Ḡ£ +Ḡª +á¹ Ĥ +á¼ · +á¿ ĩ +âĩ Į +âı ¬ +âĻ Į +â® Ł +â´ » +âµ Ł +ê¦ ķ +ê¦ ª +ê¦ ® +ê² Ħ +ê¾ IJ +ëĥ ij +ëķ ĭ +ë¡ ¸ +ë¬ Ģ +ìĩ ¤ +ìĪ © +ìľ ķ +ìŃ ĺ +ì· ° +ì ·¸ +íľ Ģ +ï¤ £ +ï§ į +ï± Ħ +ï³ ij +ðĿIJ ¤ +ðĿĴ ĵ +ðĿĴ ¶ +ðĿĹ ¼ +ðĿĻ Ĭ +ðŁĩ ¾ +ðŁĮ Ľ +ðŁĮ ® +ðŁİ ĩ +ðŁİ ² +ðŁı Ľ +ðŁij ¥ +ðŁij ´ +ðŁĴ Ĩ +ðŁĵ Ĥ +ðŁĵ § +ðŁķ IJ +ðŁĸ ķ +ðŁĺ § +ðŁĻ Ģ +ðŁļ Ĵ +ðŁĽ « +ðŁ¤ ł +ðŁ¥ ļ +ðŁ¥ Ľ +ðŁ¥ £ +Ç ¯ +È § +Î Ĭ +Ò ² +× ° +Û ij +áĥ © +áĦ Į +áĪ į +áī ¥ +áı Ĥ +âģ ± +âĬ ¢ +âĹ ĵ +âĿ ° +ë¿ ¡ +ìĽ © +íģ Ń +íĨ ³ +íĬ Ħ +íĵ ¸ +ï¥ £ +ï¥ ´ +ï± IJ +ï± ¯ +ï³ ļ +ðĿĸ ĺ +ðĿĺ Ģ +ðŁIJ Ĭ +ðŁIJ Į +ðŁij ļ +ðŁĵ ĥ +ðŁļ Ľ +ðŁļ ª +ðŁ¤ ° +Ä ´ +áĥ ® +áĹ ¨ +âĻ ® +â² ŀ +ãĪ Ķ +ì ħį +ãħ ĥ +ï¥ ¡ +ຠ¡ +Õ İ +Õ º +⬠Ľ +â½ ¤ +ðĿIJ ² +âŀ µ +áĢ Ľ +âĶ ħ +âĨ Ł +â¼ Ĭ +ðŁĮ ½ +ðŁļ ¿ +ï¦ Ĭ +ãĦ £ +⼠© +ï© Ľ +ðŁį ± +â¾ ¨ +à´ ¤ +áŀ ģ +ຠŀ +Ê ļ +ðĿIJ Ĵ +à´ ± +áŀ ľ +à® © +à° Ĺ +à´ ļ +âĩ £ +ï¦ ķ +Õ ħ +Æ ĺ +âĤ ¦ +âĶ Ħ +ï¦ Ł +ï¦ « +ðĿIJ ģ +ðĿIJ ĥ +ðŁį ¸ +ðŁIJ ² +Å ¶ +É ĸ +ß ĺ +ภ¦ +འĶ +áĨ · +âģ ķ +âĵ Ĥ +âĿ ľ +ï¥ ¥ +ï¬ ® +ðĿĹ Ŀ +ðĿĹ ¿ +ðŁİ ¾ +ðŁĹ Ŀ +ðŁ¦ Į +Æ ħ +Ç ª +Ò Ĺ +Ü Ľ +ß ł +à¡ ij +áī £ +áĬ Ń +á¹ ¡ +âŀ ¼ +âŀ ¾ +â´ ± +ãī ¡ +ê³ ¯ +ë½ Ī +ìĤ ĺ +ìī ij +ì «ĺ +íĮ ĥ +íĻ ° +ï¤ Ĺ +ðŁĮ ¬ +ðŁĮ ° +ðŁį ¤ +Ä » +Å ĩ +Æ ¨ +É ķ +Ò ¢ +Ò º +Ö į +× ± +Ú ± +Ú ½ +Û IJ +ठĽ +à· Ģ +๠ļ +ຠ« +á´ ¹ +á ½Ķ +á¾ ³ +âĤ Ĵ +âĨ ´ +âĩ Ŀ +âī ħ +â Į¨ +âĵ ĵ +âĸ ¢ +âļ ¬ +âŀ Ń +â² Ĵ +ãİ ¿ +ê¿ ´ +ëĪ ± +ëį ¬ +ëİ IJ +ëIJ « +ëĶ « +ë± ģ +ìĥ ¥ +íĮ ¼ +ïŃ ĵ +ï® ¥ +ï² ° +ðĿIJ ĩ +ðĿIJ ij +ðĿij Į +ðĿĵ ª +ðĿķ ļ +ðĿĺ ª +ðĿĺ ¼ +ðĿļ Ľ +ðŁĩ ¶ +ðŁĮ Ħ +ðŁĮ ķ +ðŁĮ ¤ +ðŁĮ § +ðŁį ¬ +ðŁİ ĭ +ðŁİ » +ðŁı ¨ +ðŁIJ ĩ +ðŁij ĵ +ðŁĵ IJ +ðŁĵ Ļ +ðŁĶ ¼ +ðŁķ Ĵ +ðŁĸ ı +ðŁĸ ¥ +ðŁ¤ ¬ +ðŁ¥ Ĭ +ðŁ¥ Ĵ +ß Į +ຠĦ +á¼ µ +âķ ¡ +â² ¤ +â´ ¼ +âµ ¢ +ãĪ ¯ +ëĵ ¸ +ëŁ ĩ +ëº į +ðĿĻ § +ðŁį Ī +ðŁĶ ¬ +ðŁĸ Ĭ +ðŁ¤ ¾ +Ë ¡ +Ü © +âĮ ¡ +âŃ ij +â² ¦ +ë© ī +ì¼ Ń +ï¿ ¤ +ðĿĴ İ +ðĿĹ ¥ +ðŁIJ µ +ðŁķ ¶ +ðŁķ ¸ +ðŁ¤ ľ +Õ ª +áĪ ĭ +ðŁ¥ µ +ï° ģ +áµ IJ +âķ ĵ +áĢ ĸ +âĭ Ī +É ŀ +âŀ ® +ॠ° +ãĨ ģ +ðŁĴ ± +ðŁı Ń +áĨ ¨ +ðŁį ļ +ðŁ¦ IJ +á´ » +âĺ Į +à´ ķ +Õ ± +áħ ® +ðĿIJ Į +Å ¦ +ຠķ +âľ Ļ +Ë ³ +Ô µ +âķ Ĵ +ðĿĹ Ĺ +ðĿĹ ł +Ú ļ +ঠ§ +âĨ Ŀ +âĻ ī +ãĮ » +ì¹ Ĭ +ðĿĹ º +ðŁ§ ĺ +ì³ £ +ï¬ Ŀ +ðŁij º +Ç Ł +Î Ī +Î « +Ñ ¥ +Ô ² +Õ ¨ +Ü ¦ +ঠĨ +ঠ¥ +áIJ ¢ +á¼ ģ +á¼ ĺ +á¼ ¦ +âĵ Ŀ +ãĪ ° +ãİ Ĺ +ê² ¡ +ë¨ Ģ +ì£ Ķ +ì´ ¤ +ìµ Ŀ +ï§ ´ +ïŃ Ĭ +ï² Ł +ðĿIJ · +ðĿij ĭ +ðĿĵ ī +ðĿĺ µ +ðŁĴ · +ðŁĽ © +ðŁ§ ¹ +Å Ķ +Ê ŀ +Ë ¥ +Î Į +Ñ © +Ó IJ +Ó ł +Ú ij +Ú Ĵ +ß ¨ +ઠĪ +áIJ ĥ +á¹ ¯ +âĤ ĭ +âĤ µ +âĦ ħ +âĦ ł +âĪ £ +âī º +âī » +âĬ Ľ +âĮ IJ +âİ ĵ +âĺ ¸ +âĻ Ĵ +âļ Ĵ +âľ ĩ +âľ ł +â´ · +âµ ĸ +ãĦ ¸ +ãī ¢ +ãī ° +êĩ ´ +ê´ ¸ +êº ł +ëĤ ı +ëĤ ¢ +ëIJ Ģ +ëº ´ +ìĥ ľ +ìį ħ +ì¤ « +ì± ¦ +ìº ij +ì¼ ģ +ì¿ ³ +íĤ ģ +íħ ¡ +íĴ Ĥ +íĴ ī +íľ Ħ +ïŃ ª +ï® ¬ +ï¯ ¦ +ï± ª +ï² ı +ï ´Ģ +ï» Ĩ +ï¿ ¦ +ðĿij Ĺ +ðĿĸ Ļ +ðŁĮ ¡ +ðŁį Ŀ +ðŁį § +ðŁİ « +ðŁı ĺ +ðŁı ª +ðŁIJ ĭ +ðŁIJ Ľ +ðŁIJ º +ðŁij ĸ +ðŁij ŀ +ðŁij · +ðŁĵ Ģ +ðŁ ĶĦ +ðŁĶ Į +ðŁķ Ļ +ðŁĻ į +ðŁĻ İ +ðŁ¦ į +Ç ° +É Ł +Ê Ĩ +Ô ¼ +Ú ľ +ঠ¡ +ঠ¶ +áĴ ĥ +á¼ © +âĵ ķ +â² Ī +ê° ° +ê¹ ł +êº ħ +ëĦ ¹ +ë¯ ĵ +íIJ Ī +ï§ ¶ +ï® ij +ï² ¨ +ðĿĴ ī +ðĿĴ Ķ +ðĿĹ ¨ +ðĿĻ ŀ +ðĿļ Ĵ +ðĿļ ķ +ðŁIJ İ +ðŁ¤ ķ +ðŁ§ Ķ +Ï ° +Ô Ŀ +âĮ Ĭ +âĴ ¾ +ãī £ +ïŃ © +ðĿļ ŀ +Ê ij +ঠ¦ +áĦ ĩ +âī ĥ +â² Ģ +ìŁ İ +ðĿij ¶ +ðĿĵ ² +ðŁ İ· +ðŁļ ¹ +ຠģ +áł ł +ãĦ ļ +ðŁIJ ¿ +ἠļ +âķ ³ +ðŁIJ Ń +âĴ ¹ +ðĿĸ ļ +âĻ ĸ +ãĪ ² +âĨ ¾ +áĦ Ĩ +âķ Ľ +ðŁ¤ į +â½ ¥ +ðŁ Į¨ +âĪ ® +ãĮ ĺ +ãį ij +ï¹ Ģ +âĵ Ĺ +âĬ Ħ +ðŁı ¹ +Ë Ĵ +ðŁ¤ ± +ãı ľ +ðŁİ Į +ï¥ Ń +ঠ£ +ðŁİ ¹ +ãĬ Ł +à´ ° +ðĿIJ Ķ +à´ ¨ +འļ +âľ º +Õ · +ðŁij ³ +ঠľ +âĺ ĭ +âĻ Ĭ +ãĢ Ľ +È ĭ +à® ° +áĥ ¨ +âĦ ķ +íij Ģ +ðĿĵ ĥ +ðŁ¦ Ķ +Ä ¿ +Å Ģ +Æ ³ +É ļ +Ö ĥ +Ü £ +ß Ł +à¦ Ń +ৠ¡ +ච» +ຠ£ +འĩ +Ḡ¨ +á½ Ī +â½ ¬ +ê¡ Ķ +ì³ Ħ +ï¨ ī +ðĿIJ ¡ +ðĿĺ ¢ +ðŁį ¿ +ðŁİ Ł +ðŁı ī +ðŁĶ IJ +ðŁļ ħ +ðŁ¤ ½ +Æ į +Ç « +Ç ½ +È ļ +Î ī +Ó ¤ +Ó ª +Õ Ĭ +Ù ¼ +Ú ´ +ß Ŀ +චľ +á¼ ķ +á¿ ¥ +âİ ŀ +ãĢ ļ +ãī ¤ +ê³ ¸ +ê· ģ +ëĵ Ħ +ëĵ ķ +ì¨ Ķ +ì± ¨ +ðĿIJ ¾ +ðĿij » +ðĿĶ ¼ +ðĿķ Ŀ +ðĿĺ Ń +ðŁĨ Ļ +ðŁĵ ¤ +ðŁĶ Ł +ðŁĹ ¼ +Ä ľ +Æ ģ +Æ ¿ +Ç ³ +Ç · +É ĥ +É ł +Ê ī +Ê § +Ë ² +Ï ´ +Õ ģ +Õ ŀ +Ö ĩ +Û Ĥ +Û ĵ +ß Ĺ +ß ¦ +ঠ¹ +à® ³ +à´ ¸ +à» Ĥ +áĪ Ŀ +áĪ ª +áĭ µ +áIJ Ĭ +áĴ ª +áļ ĸ +áŀ Ľ +á´ ¢ +áµ ı +áµ Ń +ᶠ« +Ḡı +ẠĴ +á¼ ¥ +á½ ķ +á½ ¼ +âĤ Ĭ +âĦ Ĥ +âĦ © +âĩ ī +âī £ +âĮ ł +âİ Ł +âı ® +âķ ĺ +âĹ ĸ +âĺ © +âĻ ij +âĻ ² +âļ Ľ +ãĦ Ł +ãī ± +ãİ ļ +ê¡ ķ +êª ĸ +ê° ¹ +ê² Ĩ +êµ Ħ +ëĩ ¬ +ëĭ ¯ +ëı ł +ëĴ ¬ +ëĸ Ī +ëĸ ½ +ëĺ Ķ +ëŀ ¸ +ë¸ ħ +ë» ł +ë¿ Ł +ìĤ µ +ìĬ ī +ìľ ° +ìł ĭ +ìł Ķ +ì¥ ¡ +ìŃ Ŀ +ì¼ ¬ +íĪ ĩ +íī ľ +íį Ħ +íĽ ¾ +íĿ £ +ï¤ © +ï¤ ¯ +ï¦ ľ +ï¦ § +ï§ ľ +ï¨ Ī +ï¬ ª +ï ¬´ +ïŃ ½ +ï® ī +ï¯ ŀ +ï° Ĵ +ï± ĩ +ï¿ Ħ +ðĿIJ ħ +ðĿij Ħ +ðĿij º +ðĿĴ Ĺ +ðĿĵ ® +ðĿķ Ľ +ðĿķ ŀ +ðĿĸ ij +ðĿĺ ģ +ðĿĺ Ĩ +ðĿĺ ¶ +ðĿĻ ¢ +ðĿļ ľ +ðŁĮ ĥ +ðŁĮ ¦ +ðŁį Ł +ðŁİ İ +ðŁı Ļ +ðŁIJ © +ðŁIJ « +ðŁIJ ´ +ðŁij Ķ +ðŁĵ ī +ðŁĵ Ľ +ðŁĶ ī +ðŁĸ ¼ +ðŁĹ ĥ +ðŁĹ ¯ +ðŁļ ĩ +ðŁļ IJ +ðŁļ µ +ðŁ¤ ¶ +ðŁ¥ ĭ +ðŁ¥ ĵ +ðŁ¥ ® +ðŁ¦ İ +ðŁ¦ ł +ðŁ§ Ĵ +ðŁ§ ¨ +Æ IJ +Ç į +Ó Ģ +Ô Ľ +ಠ° +à´ Ļ +áĢ Ĵ +ê² Ŀ +ê¹ ¹ +ë© ¥ +ìĸ Ķ +ï¤ ģ +ï¤ ı +ï¦ ī +ï¦ ĵ +ï§ ī +ï² Ŀ +ðĿĹ ŀ +ðĿĹ ± +ðŁĮ ĭ +ðŁį ¶ +ঠļ +ìķ ľ +ðĿIJ ¯ +ðĿļ Ŀ +à° ¨ +འĺ +འł +á¡ ¥ +á¾ ° +âģ į +âĶ ° +⬠ľ +ðĿIJ ł +ðĿij ¯ +ðĿĹ Ľ +ðĿĵ » +ðĿĸ Ī +âŀ » +áŀ ł +â¡ ± +â» ij +ðŁ§ µ +ï¦ ¢ +ðŁij ĺ +ãĤ Ķ +â¼ Ł +ãĬ ¤ +ï¦ Ŀ +ãĮ ¦ +âĢ ¸ +ðŁĶ Ļ +ã ¹ +ã¹ ¦ +ï¹ ħ +ï© Į +ãī ¨ +ï¸ ½ +âį ¥ +ðŁļ ī +ðŁ¥ ľ +âĵ ľ +â» Ŀ +ï¨ ľ +ðŁĴ Ĵ +áĦ ij +â¾ ŀ +ï¨ ģ +à´ ª +áĦ İ +âŀ ´ +ঠ· +áħ ¬ +áŀ § +âĨ ¢ +âķ ¦ +âľ ij +Ë ¬ +Õ IJ +༠Ķ +Ê ¤ +Ë ¨ +ठŀ +à» ĥ +༠ļ +âĵ ¥ +âķ ľ +ðŁIJ ĸ +á¼ Ļ +á¼ ¤ +ìĨ ° +È Ĥ +Ê ± +à® ļ +áĥ § +á´ ĭ +á´ ® +âĿ ¡ +âŀ · +ëĿ ¡ +ï§ ¢ +ï¯ ¡ +ðĿķ ķ +ðŁħ ° +ðŁ¦ ¸ +Ç ¸ +Ó ŀ +Ô ¶ +Ö Ĩ +Ú ģ +Û ĭ +áİ ¥ +á¾ ¿ +âĶ Ń +âĶ ® +êĢ Ģ +ê± ĺ +ëIJ Ń +ë½ Ħ +ìĶ IJ +ì¸ Į +íģ ł +íĻ ± +ï¥ ī +ï¨ ĸ +ðĿij ´ +ðĿĸ Ĵ +ðĿĺ ¨ +ðĿ ļĮ +ðŁIJ ¡ +ðŁij ¢ +ðŁĵ Ķ +Å ħ +Æ İ +È © +Ò ª +Ô ĥ +áĥ « +Ḡĩ +⼠Ł +ê» Ń +ë¨ Ħ +ìŁ Ģ +ì¤ ´ +íļ IJ +ï¤ ³ +ðŁŁ ¢ +Æ § +È ¼ +Ê Ŀ +Ë Ħ +Ë ħ +Ë į +Ë § +Ò ¥ +Õ Ķ +Ø ı +Ø ¼ +ß IJ +ß ľ +ठĵ +ঠĻ +à® ĵ +ච´ +༠į +༠Ĵ +འ£ +áĢ Ĥ +áĢ Ĭ +áĦ Ħ +á Īĺ +áĭ Ĭ +áĮ į +áij ĭ +áŀ Ĥ +áł ¢ +á¡ Ŀ +á´ ¦ +áµ į +áµ ¨ +Ḡ¡ +Ḡ¯ +á¼ £ +âģ Ĥ +âĦ ĺ +âĦ ľ +âĦ ³ +âĦ µ +âĨ ¦ +âĩ Ĩ +âĪ · +âĬ ļ +âĮ « +âĮ ¯ +âİ Ľ +âİ ľ +âİ ¤ +âİ ¦ +âİ ® +âij ī +âĶ ī +âķ Ļ +âĸ Ĥ +âĹ Ń +âĺ Ĭ +âĺ į +âĺ Ĵ +âļ Ĩ +⼠§ +⼠² +âŀ ĺ +⥠Ħ +â´ ³ +â´ ½ +âµ Ī +ãī ¯ +ãİ ij +㧠¬ +êĻ ¬ +ê§ ģ +ê³ ¬ +ê´ ŀ +ê» ľ +ëħ ĵ +ëĭ ¼ +ëį ĸ +ëĸ ± +ëĿ ° +ë¡ ¹ +ë¢ ´ +ë£ Ģ +ë¤ ł +ë¨ ķ +ëŃ ¥ +ìĦ ¶ +ìħ ¤ +ìĮ ķ +ìį ª +ìı © +ìĴ Ģ +ìĶ ¯ +ìĿ Ķ +ìĿ ľ +ìł Ń +ì§ ¦ +ì¨ © +ì² ¬ +ì³ ¥ +ì¼ ¯ +íĢ « +íĢ Ń +íĥ ¸ +íĵ ģ +íķ ¬ +íĹ ¸ +íĽ ķ +íľ Ń +íĿ Ĺ +ï¤ Į +ï¤ ª +ï§ ¿ +ï¬ Ħ +ï¬ ħ +ïŃ ij +ïŃ « +ïŃ º +ï® Ĥ +ï® ¢ +ï® ¨ +ï° İ +ï° ł +ï² £ +ï³ IJ +ï³ Ĵ +ï³ ĺ +ï³ ľ +ï¹ ¼ +ï¿ ¨ +ðĿIJ © +ðĿĴ ļ +ðĿķ Ķ +ðĿķ ¤ +ðĿĸ Į +ðĿĹ £ +ðĿĹ ° +ðĿĹ ´ +ðĿĺ Ĥ +ðĿĺ ¥ +ðĿĺ ® +ðĿĺ ¸ +ðĿĻ Ģ +ðĿĽ ¾ +ðĿľ ı +ðŁĮ ģ +ðŁĮ ľ +ðŁĮ ¥ +ðŁĮ ¯ +ðŁį IJ +ðŁİ Ĵ +ðŁı Ķ +ðŁı ķ +ðŁı ® +ðŁIJ Ĥ +ðŁIJ ī +ðŁIJ ¹ +ðŁĶ ķ +ðŁĶ ļ +ðŁķ ij +ðŁķ £ +ðŁĹ ŀ +ðŁĹ ¡ +ðŁĹ ¿ +ðŁļ Ĩ +ðŁļ Ĭ +ðŁļ ĵ +ðŁļ ķ +ðŁļ ¾ +ðŁĽ ģ +ðŁĽ İ +ðŁĽ ı +ðŁ¤ ´ +ðŁ¥ ķ +ðŁ¥ ĸ +ðŁ¥ ł +ðŁ¥ ¥ +ðŁ¦ Ĩ +ðŁ¦ ī +ðŁ¦ ļ +ðŁ§ ij +ðŁ§ ¥ +ðŁ§ ¿ +Å ° +Æ º +É § +ઠĩ +à® £ +áĪ Ī +áĬ ¤ +áĭ ® +áĮ Ī +áĮ µ +ᥠ² +âĵ Ł +êĻ ³ +ê° Ĭ +ëķ ģ +ëķ ¨ +ìĬ ģ +ï¦ µ +ï¬ ² +ðĿĸ į +ðĿĺ Į +ðĿĺ ³ +ðĿĻ © +ðŁį Ļ +ðŁĸ ĸ +áī ³ +áĭ ¨ +áĸ ĩ +áŀ Į +á¹ § +âķ ª +âŀ ļ +â² ĺ +ê ķ +êķ ¥ +ï¤ · +ï® £ +ï¯ ł +ðĿĴ ĸ +ðĿķ ĺ +ðĿĸ ĩ +ðĿĹ Ł +ðĿĹ ª +ðĿĹ ¯ +ðĿĻ ł +ðŁĵ ı +à¦ Ĺ +âĴ » +â² ł +ðĿĵ µ +Ê £ +à° ľ +áĬ ¢ +áŀ IJ +Ḡ· +âĦ Ľ +âĩ Ģ +âĩ Ĭ +êĴ ¦ +ê¦ ł +ï® ¤ +ðŁį Ľ +ðŁ¤ Ľ +ᨠ¾ +âŀ º +áķ ¯ +ἠı +âĩ Ĥ +âĶ ¹ +âĻ Ĺ +ðŁĸ ¨ +ê¦ ı +ઠ° +áļ ¨ +ðŁ¤ ¥ +ðŁ§ ¢ +ãIJ Ĥ +ãĦ ¥ +ðŁĸ Į +â¼ Ĵ +ãĬ § +âį © +ðŁ¦ ij +âĶ · +ï© IJ +ï© ¡ +ðĵ Ī +ðĵĪ Ĵ +â» Ħ +ï¨ Ĵ +âĦ ª +Ò § +Ú Į +âĢ ¶ +⺠ł +â» ģ +âĨ ¸ +áĦ IJ +ãħ IJ +à» Ħ +áĹ ª +âĨ ¼ +âĩ ĭ +âĩ ĺ +âĮ ij +âĸ © +ðĿIJ Ĺ +Ä Ĭ +ঠī +ìī ł +É ¤ +ß į +ß ı +áµ Ĺ +âĤ ¥ +âĵ ī +âĶ ł +âĶ ¨ +âķ Ħ +ä ¤ +ä¤ Ģ +ê» ¸ +ï® ģ +ðĵ Ĥ +ðĵĤ ĥ +ðŁ¦ ķ +Æ Ľ +ঠĩ +ãı ĺ +ï® ¼ +Ú ĵ +Ú Ŀ +ঠĵ +ච¯ +á´ ħ +á½ Ļ +âģ ¼ +âĸ İ +â¼ © +ä Ķ +äĶ Ģ +ë» ¡ +ìĽ ½ +íģ Ħ +ï¥ ¼ +ï± ī +ï¹ » +ðĿĸ ĭ +ðĿĻ Ī +ðĿĻ ª +ðĿ Ļ¶ +ðŁIJ Ħ +ðŁIJ Ĩ +áİ ¢ +ḠĮ +âĿ ´ +ðŁı ¸ +È Ŀ +É ¸ +Î ħ +Ï ľ +Ó ¢ +Õ ¹ +à´ ħ +ຠĪ +áĭ ° +áij İ +áł µ +á¡ ł +á´ ī +Ḡµ +á¿ ´ +âĵ £ +âĶ ¶ +â½ ¯ +ê² ¥ +ê¿ ĺ +ëģ İ +ëİ Ī +ëĶ ¯ +ë² ° +ìĺ ¯ +ìĽ ¸ +ìŀ Ĺ +ì§ ĺ +ì¬ ¬ +ì· ¬ +íģ ħ +íĵ Ķ +íĽ Ŀ +ï¤ ® +ï¤ ¹ +ï¥ ² +ï¯ ĸ +ðĿĵ ħ +ðĿĻ Ħ +ðŁĵ ¶ +ðŁĹ Ĵ +ðŁ¥ Ķ +ðŁ¥ Ń +Å ® +Å ´ +Æ ī +Æ « +Ç ģ +Ç £ +Ç º +Ç ¼ +È į +È ¯ +É ľ +Ê ¬ +Ë ģ +Ë ¤ +Ë µ +Ï Ľ +Ò ¤ +Ò ¬ +Ó ı +Ó Ľ +Ó ¡ +Ó ³ +Ô Į +Ô ¬ +Õ ³ +Ù » +Ú ī +Ú § +Ü ľ +ß ª +ठĿ +ঠĽ +ਠĨ +ઠķ +ઠ¡ +à® İ +à° ¬ +ൠ» +ൠ¼ +චł +à¶ Ń +ච¶ +à· Ĩ +༠½ +áĢ ļ +áħ ¢ +áĨ ¸ +áĪ Ģ +áĪ ķ +áĪ ° +áī ¡ +áī ¤ +áĬ ¦ +áĬ « +áĭ ĭ +áĭ į +áİ ¯ +áij Ń +áķ Ĺ +ᣠĽ +ᥠĴ +á© ī +áŃ º +á´ ¡ +áµ ĺ +áµ Ľ +ᶠł +Ḡģ +Ḡĭ +á¹ Ļ +á¹ Ŀ +á¹ ¦ +Ạħ +á¼ Ĥ +á½ ĥ +á½ į +á½ § +á¾ · +âĢ µ +âĤ İ +âĦ Ŀ +âħ Ģ +âĨ ŀ +âĨ § +âĩ ħ +âĪ ĥ +âī ı +âī ½ +âĬ ŀ +âĬ ¡ +âĬ § +â Ĭ¶ +âĭ Ħ +âİ Ĵ +âİ ¡ +âİ £ +âİ ª +âı İ +âĵ ĥ +âĵ ĸ +âĵ ¨ +âķ ĭ +âķ ĸ +âķ ¢ +âķ ² +âĸ Ĩ +âĸ Ĭ +âĸ į +âĸ ® +âĺ ¡ +âĺ ¦ +âĺ ± +âĺ ¿ +âĻ ĺ +âĻ Ŀ +âļ ° +⼠ij +âŀ ª +⤠Ŀ +⤠¢ +⤠· +⧠« +â¨ Ń +⨠¯ +â± £ +â² İ +âµ Ľ +ãħ Ķ +ãĪ ı +ãī ² +ãī ³ +ãĬ ij +ãĭ Ľ +ãİ IJ +ê² ¤ +ê· ¿ +ê¹ ŀ +ê» ¨ +ê¼ į +ê¿ ¸ +ëĥ ¬ +ëĩ IJ +ëĭ ł +ëį ¯ +ëĹ Į +ëĹ ij +ë¥ Ģ +ëª ĥ +ëª ¯ +ë± ¡ +ë³ ĵ +ë³ ½ +ë µľ +ìĤ ³ +ìħ ¥ +ìĩ ½ +ìı ¨ +ìı ¸ +ìķ į +ìĸ ĸ +ìŁ ¨ +ì¢ ĥ +ì¢ į +ì¥ ij +ì§ ¼ +ì© ĥ +ì® ľ +ì® ¸ +ì³ ij +ì´ ¥ +ì¾ ĥ +íħ ¦ +íĪ ¿ +íĵ ½ +íķ ³ +íĸ ı +íĹ ł +íĿ « +ï¤ ĵ +ï¤ ĺ +ï¥ İ +ï¥ ¶ +ï¦ ħ +ï¦ ½ +ï§ ĩ +ï¬ Ĩ +ï¬ ³ +ï® ĩ +ï® Ī +ï® Ŀ +ï® © +ï® ± +ï¯ ĺ +ï¯ Ļ +ï¯ ¢ +ï¯ £ +ï¯ ¤ +ï¯ ¥ +ï± Ĥ +ï² Ĩ +ï² ª +ï´ ¼ +ïº ī +ïº Ĭ +ïº ¥ +ðĿij ¨ +ðĿij © +ðĿij ² +ðĿ ĴĮ +ðĿĴ ª +ðĿĴ ® +ðĿĵ Ĥ +ðĿĵ Ī +ðĿĵ ¯ +ðĿĶ ¨ +ðĿķ Ģ +ðĿķ Ĩ +ðĿķ ¦ +ðĿķ § +ðĿķ « +ðĿķ · +ðĿĹ µ +ðĿĹ ¸ +ðĿĺ Ħ +ðĿĺ Ļ +ðĿĺ ł +ðĿĺ ¬ +ðĿĻ į +ðĿĻ ij +ðĿĻ ¡ +ðĿ Ļ¨ +ðĿĻ · +ðĿļ į +ðĿĽ ¿ +ðŁ ĥ +ðŁĥ ı +ðŁħ ĺ +ðŁ ī +ðŁī ij +ðŁİ ¡ +ðŁİ ª +ðŁİ ± +ðŁİ ³ +ðŁİ º +ðŁı İ +ðŁı Ĺ +ðŁı ļ +ðŁı ŀ +ðŁı ¦ +ðŁı § +ðŁIJ ģ +ðŁIJ ħ +ðŁIJ ĵ +ðŁĴ Ĥ +ðŁĵ ij +ðŁĵ ĵ +ðŁĵ ¨ +ðŁĵ « +ðŁĶ ĭ +ðŁĶ Ń +ðŁĶ ¯ +ðŁķ Ĺ +ðŁļ Ĥ +ðŁļ ¢ +ðŁļ ¦ +ðŁļ ¬ +ðŁĽ ĭ +ðŁĽ Į +ðŁĽ ¬ +ðŁĽ ¶ +ðŁŁ ¡ +ðŁ¥ ĺ +ðŁ¥ Ł +ðŁ¥ ¦ +ðŁ¦ ĩ +ðŁ¦ Ī +ðŁ§ Ĭ +ðŁ§ Ĺ +ðŁ§ ¤ +Ê · +Ë ¹ +á¹ ļ +á½ ¥ +âĦ Ł +ê² ¯ +ê» « +ë° · +ìĥ Ĩ +ìĽ Ŀ +ì¨ ī +ì« ı +ï¯ ķ +ðĿľ ĭ +É ² +Ò Ń +Ó Ī +འĽ +áĭ ĵ +áĻ Ń +áł © +á¹ ® +âĦ Ĵ +âĨ » +âµ ĥ +ëĢ ¨ +ëł § +ìī ¥ +ìĮ ľ +ìĹ ¶ +ì¨ Ī +ìª ¾ +íı ½ +íļ Ķ +íĽ µ +ï¤ ¸ +ï¦ IJ +ï§ Ĺ +ï§ ļ +ï¬ ¯ +ðĿIJ Ĭ +ðĿķ Ĺ +ðĿĹ ļ +ðĿļ ĸ +ðŁħ ´ +È ĥ +É Ŀ +Ï ± +Ó Ĺ +ठ¢ +áħ ł +áī ¦ +áij Į +áĴ ¼ +áŀ ¡ +áł ¨ +áł Ń +ᨠħ +ᨠĶ +á´ ĺ +ᶠ¦ +á¸ İ +á¼ ħ +á¼ ¹ +âĨ ¯ +âĵ İ +ãı Į +ê ī +êī Ĥ +ëĨ § +ëĿ ± +ì¢ ¡ +íĪ ½ +ï¤ ĩ +ï¤ Ľ +ðĿIJ ķ +ðĿĵ ¸ +ðĿĵ ¼ +ðĿĹ ķ +ðĿĺ Ī +ðŁı £ +ðŁı ¤ +ðŁĹ Ħ +Ñ · +Ò ł +áµ ĸ +á¼ ¨ +ë¬ Ħ +ï° ´ +âĪ ½ +Õ Ń +Ú ¹ +ॠŁ +áĢ Ĩ +áŀ Ĵ +ãĢ ¶ +ê¦ « +ï¸ ĵ +ðĿIJ Ľ +ðĿĺ Ĺ +ðŁı ľ +ì« Ń +ðŁ§ ŀ +འĤ +âĨ ¿ +âĩ ı +âĵ ģ +âĶ § +âķ ģ +âķ ¤ +ê¦ Ĺ +ê¦ ¤ +ðŁı Ī +áŀ ķ +Ô ½ +àª Ĺ +ଠĨ +âķ ķ +ï½ ł +â¼ ¦ +â¼ ¯ +â¾ · +âĶ ĸ +ଠĵ +âĺ Ĺ +âį ĭ +ï¨ Ŀ +â¼ ¥ +ï¦ ª +âĦ Ĭ +ãĢ ´ +âį ¢ +ð¡ Ī +ð¡Ī ½ +ï© ¨ +ãĢ » +ãı ĥ +ï¦ ¡ +ï¨ ĺ +ðŁIJ ĥ +ðŁĨ ĸ +ðŁĹ ¾ +ãĦ ĩ +Þ ĭ +â¼ ¼ +ï¨ Ń +Þ Ģ +Þ Ħ +Þ Ī +Þ IJ +âĮ Ħ +â» ĺ +ãŁ ¢ +á ħ§ +ðIJĮ ¿ +Ë » +à² Ĺ +áĢ ĩ +áŀ Ĭ +âķ ĩ +ãĩ ¼ +ãİ ° +Õ Ĵ +Ü Ī +ß ¥ +à¿ IJ +áĢ Ł +âĨ ¥ +âķ Į +â½ Ģ +â½ ° +â¾ Ĭ +ä Ħ +äĦ Ģ +ðĵ IJ +ðĵIJ į +ðŁİ ¦ +âĤ ¯ +âĬ ĺ +âĦ į +Ê µ +Ñ ¶ +Ú ĥ +ঠĶ +à´ ¦ +áİ ¶ +áĵ ķ +á¹ ¨ +âĤ ł +âĩ ° +âĹ Ĵ +â¿ Ĭ +ê· ± +ì¹ ķ +íĪ © +ïŃ Ģ +ðĿĴ ¸ +ðĿĵ Ĭ +ðĿĺ © +Ç ¦ +É « +áĬ ¨ +È ¹ +Ê ¯ +Î ª +Ú Ģ +áĮ ¸ +áİ » +áı ķ +áı ´ +á² Ĥ +á½ ¨ +âı Ŀ +âĺ Ļ +ëĥ ¨ +ëĦ ¼ +ëĪ Ļ +ë£ ħ +ìĶ ¼ +ìķ Ŀ +ìļ ¬ +ìľ ± +ï¥ Ĥ +ï¦ ¹ +ï¬ ¹ +ïŃ ģ +ï³ Ī +ðĿĶ ħ +ðĿĺ ¤ +ðĿĻ ı +ðĿĻ Ļ +ðŁķ ī +ðŁ§ Ļ +Ḡij +ê´ ¼ +ëģ į +ëĹ ´ +ëĿ ³ +ë° ŀ +ë° ¢ +ëµ ĺ +ìĤ Ķ +ìĦ Ħ +ì¼ ļ +íĢ ł +íĬ ± +íĮ ĸ +ï¤ ij +ï¦ ´ +ï¦ ¸ +ï´ į +ðĿĺ · +Ä ¬ +Å ¬ +Æ Ģ +Æ ĭ +Æ ľ +Ç ij +Ç ĺ +Ç ŀ +Ç ¥ +Ç ® +É ° +É ¶ +É · +É ½ +Ê Ī +Ê IJ +Ë İ +Ë Ł +Ë ¦ +Ë ¯ +Ï IJ +Ï ĵ +Ï ¢ +Ï ¤ +Ï ª +Ï Ń +Ï ® +Ï » +Ñ ł +Ñ Ń +Ò ¨ +Ó Ŀ +Ô ¡ +Ô · +Õ ī +Õ ĵ +Õ ĸ +Õ ļ +Õ Ŀ +Ö İ +Ø ¿ +Ú ħ +Ú į +Ú Ķ +Û Ĭ +Û ¾ +Ü Ļ +Ý Ĵ +Ý ĺ +ß Ĵ +ß ĸ +ठĬ +ठIJ +ঠı +ঠĸ +ৠŁ +ઠ® +ઠ¹ +à® ħ +à® Ĩ +à° ¡ +à° ° +ಠļ +ಠ® +ಠ¯ +à´ Ł +à´ · +ൠ¾ +චij +චŀ +༠¼ +འĵ +áĢ ĵ +áĤ ¦ +áĥ ĸ +áĥ Ń +áĥ ¯ +áħ ¨ +áħ ª +áĨ ° +áĪ ģ +áĪ İ +áĪ ĵ +áĪ ¥ +áĪ ² +áĪ ´ +áĪ » +áī ł +áī ² +áī ¶ +áĬ £ +áĬ ¥ +áĬ ª +áĭ ĺ +áĭ ² +áĭ ¶ +áĮ £ +áį ¡ +áį £ +áİ ¬ +áİ ¾ +áIJ ¡ +áķ ķ +áĸ ± +áĹ IJ +áĹ Ń +áĺ ī +áļ ± +ἠŁ +áŀ ¥ +ᣠĶ +áł £ +áł ª +áł ° +áł ´ +ᤠĸ +ᥠ£ +á ® +á® ł +á ¯ +ᯠĻ +á ° +á° į +á´ Ĭ +á´ ¾ +áµ ģ +áµ İ +áµ ŀ +áµ ¤ +ᶠħ +ᶠĺ +ᶠŁ +ᶠ¢ +ᶠ¤ +ᶠ± +ᶠ» +Ḡī +Ḡŀ +Ḡº +á¹ ĵ +á¹ Ĺ +á¹ ª +ẠĬ +Ạı +ẠĽ +á¼ ĥ +á¼ Į +á¼ ¿ +á½ Ĥ +á½ ĵ +á½ Ĺ +á½ ¦ +á¾ ± +á¾ ´ +á¿ ĺ +á¿ Ł +á¿ ¸ +âģ ĺ +âĤ ij +âĤ Ľ +âĤ ¿ +âĦ ĩ +âĦ ŀ +âĦ ± +âĩ Ł +âĩ ² +âĪ ¤ +âĪ ¶ +âī Ĥ +âī ¾ +âĬ ¨ +âĬ ³ +âĬ · +âĭ Į +âĭ ĺ +âĮ ķ +âĮ ¥ +âĮ µ +âĮ º +âį £ +âį ² +âį µ +âİ ĩ +âı ĥ +âı IJ +âı ł +âı ¤ +âı ¶ +âı ¸ +âı ¹ +âij Ĥ +âĴ · +âĴ º +âĵ ¡ +âĵ ¤ +âĶ ¾ +âĸ ĺ +âĸ µ +âĹ ª +âĹ · +âĺ ¨ +âĺ « +âĺ ² +âĺ ³ +âĻ Ĩ +âļ ¤ +âļ ¥ +⼠ĵ +⼠´ +⼠¾ +âŀ « +âŀ ¿ +⣠· +⤠ij +⤠« +⤠¶ +⤠½ +⧠ª +⨠Ģ +â ©½ +⬠¡ +⬠¢ +⬠¤ +â² ĸ +â² ª +âµ Ģ +⸠® +⸠½ +ãĢ ł +ãĢ · +ãĦ Į +ãĦ ĺ +ãħ ij +ãĪ İ +ãĪ IJ +ãĬ ľ +ãĮ ĵ +ãĮ ł +ãİ Ł +ãİ ¤ +ãİ § +㬠® +ä Ī +äĪ Ģ +ä ° +ä° Ģ +ê ħ +êħ ī +êĩ Ĺ +ê Ī +êĪ į +ê§ Ĥ +ê§ Ĭ +êª Ģ +ê² Ī +ê² į +ê³ Ģ +êµ ł +ê½ IJ +ê¾ Ī +ê¿ ± +ëĥ ı +ëĦ ij +ëħ ¤ +ëĩ ¸ +ëĪ ¼ +ëī ħ +ëĬ £ +ëĭ º +ëį ŀ +ëIJ Į +ëķ ¸ +ëĺ ł +ëĻ ĩ +ëĻ Ī +ëľ ½ +ëŀ Ķ +ëł ľ +ë£ IJ +ë§ Ģ +ë§ Ĭ +ëª Ģ +ë¬ Ń +ë¯ ¾ +ë³ ľ +ë´ Ĭ +ëµ ī +ë· ľ +ë¸ Ģ +ë¹ ĭ +ìģ Ħ +ìĤ £ +ìĤ » +ìĦ µ +ìħ Ĵ +ìī Ī +ìī Ķ +ìĬ Į +ìĬ Ļ +ìIJ ´ +ìĵ º +ìķ ļ +ìķ º +ìĸ ľ +ìĹ ª +ìĺ ľ +ìĻ ¤ +ìļ Ľ +ìļ º +ìĿ ħ +ìĿ ı +ìĿ Ń +ìĿ ¶ +ìł Ľ +ì¡ Ī +ì¢ ī +ì¢ Ķ +ì© ł +ìŃ Į +ì¯ © +ì´ £ +ì¸ ķ +ì¹ Ł +ì¾ ¡ +ì¿ Ļ +íģ ĩ +íģ ī +íĩ Ģ +íĪ ¶ +íĸ ij +íĸ ¤ +íĹ ħ +íľ ı +íĿ Ŀ +ï¤ Ĵ +ï¤ ķ +ï¤ ¬ +ï¥ ħ +ï¥ ĩ +ï¥ ı +ï¥ ļ +ï¥ Ł +ï¦ Ħ +ï¦ Ī +ï¦ ¨ +ï¦ © +ï¦ ² +ï§ ģ +ï§ ĥ +ï§ Ķ +ï§ ł +ï§ £ +ï§ ® +ï ŃIJ +ïŃ ĸ +ïŃ ¦ +ïŃ ´ +ïŃ µ +ïŃ ¶ +ïŃ ¸ +ï® Į +ï® İ +ï® ŀ +ï® Ł +ï® ¡ +ï® ª +ï¯ Ķ +ï¯ Ĺ +ï¯ ļ +ï¯ Ľ +ï¯ Ŀ +ï¯ Ł +ï¯ § +ï¯ ¨ +ï¯ « +ï¯ ¯ +ï¯ ° +ï¯ ± +ï¯ ² +ï¯ ³ +ï¯ ´ +ï¯ µ +ï¯ ¶ +ï° Ģ +ï± ħ +ï± Ķ +ï± ´ +ï² ģ +ï³ ķ +ï· ½ +ï¸ ķ +ï¸ ± +ï¹ £ +ï¹ ½ +ï» į +ï¾ ± +ðĿIJ Ļ +ðĿIJ ½ +ðĿij ¤ +ðĿij ® +ðĿij µ +ðĿĴ ĥ +ðĿĴ Ħ +ðĿĵ Ń +ðĿĵ · +ðĿĶ ĸ +ðĿĶ ŀ +ðĿĶ ¢ +ðĿĶ ¦ +ðĿĶ ¬ +ðĿķ Ħ +ðĿķ Ĭ +ðĿķ İ +ðĿķ Ļ +ðĿķ ľ +ðĿķ Ń +ðĿķ ³ +ðĿķ ¸ +ðĿķ ¾ +ðĿ ĸī +ðĿĸ ı +ðĿĺ ĩ +ðĿĺ ī +ðĿĺ ĸ +ðĿĺ Ľ +ðĿĺ ŀ +ðĿĺ « +ðĿĺ ¾ +ðĿĻ ĩ +ðĿĻ ī +ðĿĻ ĭ +ðĿĻ İ +ðĿĻ ĺ +ðĿĻ ¥ +ðĿļ ĥ +ðĿļ IJ +ðĿļ Ķ +ðĿľ ĥ +ðŁĦ · +ðŁħ Ŀ +ðŁħ ¾ +ðŁĨ Ĥ +ðŁĨ ĵ +ðŁĮ Ĥ +ðŁĮ Ĩ +ðŁĮ ī +ðŁĮ ij +ðŁĮ ĺ +ðŁĮ © +ðŁĮ « +ðŁį ¢ +ðŁį ¥ +ðŁİ Ľ +ðŁİ ¢ +ðŁİ ´ +ðŁij ¡ +ðŁĴ ¾ +ðŁĵ Ń +ðŁĶ Ī +ðŁĶ ¦ +ðŁĶ ² +ðŁĶ ³ +ðŁķ ĵ +ðŁķ ķ +ðŁķ ĺ +ðŁķ Ł +ðŁķ · +ðŁĹ ³ +ðŁļ Ħ +ðŁļ Ķ +ðŁļ ĸ +ðŁĽ IJ +ðŁĽ ¤ +ðŁĽ ¸ +ðŁ ł +ðŁł ³ +ðŁ¤ ¹ +ðŁ¥ ĥ +ðŁ¥ ¨ +ðŁ¥ ª +ðŁ¥ ¾ +ðŁ¦ ĥ +ðŁ¦ Ĵ +ðŁ¦ Ļ +ðŁ¦ ¶ +ðŁ§ ł +ðŁ§ ª +ðŁ§ Ń +ðŁ§ ² +𣠷 +ð£· Ń +ð¦ ĺ +ð¦ĺ Ĵ +Æ ij +Ç Ļ +È ® +Ø ł +Ú Ħ +Ü Ģ +ß ¢ +áī Ģ +áĬ IJ +áİ ł +Ạŀ +ëĪ ŀ +ëķ Ł +ë£ ģ +ë¤ Ĺ +ìĦ ¥ +ìħ ij +ìĸ IJ +ìĽ Ľ +ì£ ķ +íİ ı +íĽ ĵ +ï¥ º +ï³ Ľ +ï´ « +ðĸ § +ðĸ§ · +ðĿķ ģ +ðŁIJ ª +ðŁĴ Ī +ðŁĵ ł +ðŁķ Ľ +ðŁķ ´ +Ñ Ŀ +Ó Ĭ +ॠ² +ઠª +áĥ ¤ +áį IJ +ᶠ° +á¼ Ŀ +á½ © +âĭ ĭ +âĴ ½ +âĻ ¾ +â ½Ķ +â¾ ¯ +ãĦ Ĵ +ãħ ļ +ëIJ į +ë· ģ +ìĭ Ģ +ìļ Ŀ +ì¥ ° +ìº ´ +íĭ ī +íĿ ½ +ï¦ Ģ +ï¦ ¿ +ï§ ħ +ï§ ĵ +ïŃ ¯ +ï® Ĩ +ðIJ¤ ķ +ðĿIJ Ł +ðĿĴ ħ +ðĿĵ ľ +ðĿĶ ° +ðĿĶ » +ðĿĺ į +ðĿĻ ¯ +ðŁĦ ½ +ðŁħ Ĥ +ðŁħ Ķ +ðŁħ ½ +ðŁĵ ´ +ðŁ§ ĸ +Ó Ĵ +Ḡ² +ëī ¼ +Ç ı +È ĵ +Ê ¸ +Õ Ĥ +Û ħ +ß ¡ +ß £ +à® ¯ +à° Ī +ಠ¸ +ຠ® +༠ķ +áĢ İ +áĨ ¡ +áIJ ĭ +áIJ ķ +áij ¯ +áŀ Ĩ +ᨠķ +á© Ī +âģ ħ +âĨ ļ +âĶ İ +âł © +â² Ĥ +â² Ķ +â² ¨ +ãĬ ļ +íĵ ² +ðĿij Ī +ðĿij ¬ +ðĿij ¹ +ðĿĴ ¾ +ðĿĵ ± +ðĿĵ ½ +ðĿķ ¯ +ðĿķ » +ðĿĺ ½ +ðĿļ Ĩ +ðŁĦ ° +ðŁIJ ¨ +Ò ķ +ಠħ +ï¨ Ĩ +ðĿij ° +ðŁĦ ¸ +Ô İ +Ø į +Ù µ +ಠ¶ +áĢ Ī +áĺ Ĺ +áł ¸ +á¡ ¡ +ᨠ² +á© ģ +á´ · +áµ § +âķ ¨ +âļ ģ +â¾ Ŀ +ãĢ ¼ +ãĦ ı +êĴ « +ê¦ ¥ +ê¦ © +ê¦ ² +ìĺ ¼ +íĵ IJ +ðĵ ĩ +ðĵĩ ¼ +ðĿķ ¿ +ðŁĽ ´ +ë¨ ľ +ಠµ +à´ İ +༠Ģ +âĩ ĸ +ãĪ « +âĵ Ģ +áħ ´ +áļ ¾ +ἠŀ +ἠ« +ᥠ´ +âĨ Ľ +âĨ ¶ +âĩ ¤ +âķ Ł +âĺ · +âļ IJ +ðŁ§ ´ +á¹ ³ +âĶ į +âĶ Ĵ +âĶ © +âĶ ¦ +â¾ µ +ઠľ +ઠ¤ +âĩ Ļ +âĶ ± +âķ Ģ +â½ Ĭ +ï½ Ł +ଠ¡ +ðł ® +ðł® · +âķ ĥ +â° Ķ +ãĬ ¦ +ðŁİ IJ +ãĩ ° +â¼ Ŀ +â¾ Ķ +â½ Ĵ +âł Ĵ +ï¨ ¦ +ï© Ĵ +ï¨ ² +ï© ĸ +ðĵı ¸ +ãĮ ĥ +ðĸ ¤ +ðĸ¤ IJ +ï¦ Ń +âĬ ħ +â¾ ³ +ä´ ¥ +ï© ķ +ðŁĮ Ķ +áŀ ĭ +âļ į +â¼ ĭ +ãİ ĺ +ðIJĮ ² +É © +áİ ij +âĨ ® +âĩ ĥ +âļ İ +ãĩ ± +ãĭ © +ãĮ ¶ +êĻ ª +ëİ ¬ +ï¨ IJ +ï¨ Ľ +ï© Ĭ +ï© į +ðĵ ħ +ðĵħ º +Ï ¡ +È ij +É Ĥ +Ô ĵ +ß İ +à´ § +áĢ ī +áĢ ĭ +áĢ ij +áĢ ł +áļ Ļ +ᨠĦ +ᨠ© +ᨠ¹ +á© ĵ +ᬠľ +á´ Ļ +áµ ij +âĤ Ń +âĨ ° +âľ ģ +â½ IJ +ãĭ ¯ +ãĮ ½ +íĨ ¢ +ï¤ ¿ +ðŁ Ĥ +ðŁĤ » +È Ĵ +Í º +Ô ¥ +Õ ij +Ú ¶ +à§ İ +ච® +ຠĸ +ຠľ +ຠ½ +áĥ » +áħ ¯ +áĭ ŀ +áĸ ķ +á ´Ī +ᶠĨ +Ḡľ +á¹ ¼ +á¿ ¨ +âĦ ĭ +âĦ Ń +âĪ ± +âĮ ĵ +âĶ ĩ +âĶ ¢ +â± ® +â² Ħ +ãĩ ¾ +ãĪ ¬ +ë¸ ¡ +ìIJ ī +íĻ Ľ +ðĿķ ª +Æ ¹ +Í ² +Ó ģ +Û ¼ +ঠ« +áħ Ł +áī Ĩ +áį Ī +Ạĸ +á½ ī +âĶ ¸ +â½ © +ê ľ +êľ ¥ +êµ ħ +ëĤ Ķ +ëĦ ł +ëĩ Ĺ +ëĻ Ŀ +ìļ ¯ +ìļ · +ìŁ Ľ +ì· IJ +íŁ ¬ +íŁ ® +íŁ ° +ï¦ Ĩ +ï¦ ± +ï² ŀ +ï³ ¤ +ï³ ¥ +ðIJĮ ¸ +ðĿĶ ı +ðĿķ ® +ðĿĺ £ +ঠĪ +âı ı +ãĦ ĸ +ê² ĩ +ëĸ ĺ +ëľ · +ëŀ Ĵ +ë¡ ĵ +ë¢ ī +ë£ ĥ +ë§ ĭ +ë² ĭ +ìĤ · +ìĪ ķ +ì Į¨ +ìĵ » +ìĸ Ĭ +ìĻ ¬ +ìĿ » +ì¦ ģ +ìµ ¤ +ì· ĥ +íĢ ľ +íħ ī +íį ł +íı ħ +íij ± +íķ ķ +íĸ ł +íĿ ķ +Æ Ļ +Æ ļ +Æ ŀ +Ç ĥ +Ç Ĭ +Ç ľ +Ç ¤ +Ç Ń +Ç ¹ +È Ģ +È ģ +È ħ +È ī +È Ĺ +È Ł +È ¤ +È ¥ +È ¨ +È µ +È º +È » +É Į +É ® +Ê ħ +Ê ¥ +Ê ¨ +Ë ĵ +Ë Ķ +Ë ł +Ë £ +Ë ¸ +Í ´ +Ï Ĺ +Ï ĺ +Ï Ļ +Ï ļ +Ï Ŀ +Ï ¨ +Ï ¬ +Ï ¾ +Ï ¿ +Ñ ª +Ò Ģ +Ò ľ +Ò ¼ +Ò ½ +Ó Ĥ +Ó ħ +Ó ĩ +Ó į +Ó ĸ +Ó Ł +Ó « +Ó ± +Ô Ĩ +Ô ĩ +Ô º +Õ ĭ +Ö ī +Ø Ī +Ø Ĭ +Ø ½ +Ø ¾ +Ù · +Ú Ĥ +Ú Ĭ +Ú ĸ +Ú Ĺ +Ú £ +Ú « +Ú ¸ +Û Ģ +Û į +Û ½ +Ü ī +Ü ¤ +Ý § +Ý ´ +Þ ĥ +Þ ¤ +Þ ¥ +ß ļ +ß Ľ +ß ¤ +àł į +àł ĵ +àł ³ +à¡ ¢ +ॠł +ৠł +ৠº +ਠĬ +ਠIJ +ਠ® +ਠ¯ +ਠ° +ਠ¸ +ઠĨ +ઠ³ +ઠµ +ઠ½ +ଠĮ +ଠĺ +ଠ½ +à® ĥ +à® ¸ +à° Ĩ +à° ķ +à° ¦ +ಠĨ +ಠĬ +ಠĮ +ಠIJ +ಠĽ +ಠ¤ +ಠ¦ +ಠª +ಠ² +ಠ¹ +à´ Ĩ +à´ ı +à´ Ĺ +à´ « +à´ ¹ +ൠº +ൠ½ +චħ +චĬ +චĶ +ච§ +ච« +ච° +༠Ħ +༠ħ +༠Ĭ +འĻ +འ¡ +འ§ +à¿ Ģ +à¿ Ļ +áĢ Ŀ +áĢ § +áĢ © +áĢ ¿ +áģ µ +áĤ ģ +áĤ ½ +áĥ Ĥ +áĥ ª +áĦ Ĭ +áĦ ¢ +áħ ¦ +áħ Ń +áĨ ® +áĨ ± +áĨ » +á ĩ +áĩ Ĥ +áĪ ħ +áĪ ī +áĪ Į +áĪ IJ +áĪ Ĵ +áĪ Ļ +áĪ ļ +áĪ ľ +áĪ ŀ +áĪ © +áĪ ³ +áĪ º +áĪ ½ +áī ħ +áī ¢ +áī ± +áī ´ +áĬ ĥ +áĬ į +áĬ ĸ +áĬ ® +áĬ ¸ +áĭ Ľ +áĭ Ŀ +áĭ ³ +áĮ ģ +áĮ ħ +áĮ ¥ +áĮ ¦ +á Į¨ +áį Ĭ +áį į +áį ķ +áį ĸ +áį ¢ +áį ¤ +áİ Ĵ +áİ ª +áı ģ +áı IJ +áı Ł +áIJ Ĥ +áIJ ĸ +áIJ Ŀ +áIJ ŀ +áIJ Ł +áIJ ł +áij ĸ +áĴ ĭ +áĴ į +áĴ ¡ +áĵ « +áĶ ķ +áķ ĭ +áķ ij +áķ Ļ +áķ ļ +áķ Ľ +áķ ¤ +áķ ¦ +áķ ® +áķ ¼ +áĸ ĵ +áĹ Ĺ +áĹ ¢ +áĹ ¯ +áĹ · +áĺ Ħ +áĺ ij +ἠĤ +ἠĻ +áŀ į +áł Ĩ +áł ¡ +áł ¦ +áł ® +áł ¯ +áł ² +áł · +á¡ į +á¡ ŀ +á¡ ¤ +á ¡´ +á¡ µ +ᤠĵ +ᥠĸ +ᥠ° +ᨠ¦ +ᨠ§ +ᨠ¨ +ᨠª +ᨠ¬ +ᨠ¯ +ᨠ³ +ᨠµ +á© ĥ +ᬠķ +áŃ £ +á ± +á± ļ +á² ł +á´ ĵ +á´ ¶ +áµ Ĥ +áµ Į +áµ ¥ +áµ ´ +ᶠĩ +ḠĪ +Ḡł +Ḡ§ +Ḡ´ +Ḡ¾ +á¹ Ģ +á¹ ĸ +á¹ Ł +á¹ ł +á¹ « +á¹ ± +á¹ · +á¹ ¿ +ẠĦ +Ạį +Ạij +áº Ĺ +á¼ ī +á¼ ĵ +á¼ Ń +á½ ĭ +á½ Ĵ +á½ ł +á½ £ +á¾ Ħ +á¾ ı +á¾ ij +á¾ Ĺ +á¾ ¦ +á¾ § +á¾ ¾ +á¿ Ħ +á¿ ĵ +á¿ ¡ +á¿ ¬ +âģ ļ +âĤ Į +âĦ ģ +âĦ Ķ +âĦ £ +âĦ § +âĦ ¯ +âĦ ° +âĦ ´ +âħ ħ +âĨ ľ +âĨ « +âĨ Ń +âĨ ± +âĨ ¹ +âĨ ½ +âĩ ĩ +âĩ ľ +âĩ µ +âĪ ī +âĪ Ĭ +âĪ ĸ +âĪ ľ +âĪ ¾ +âī Ģ +âī ĭ +âī Į +âī ĵ +âī ľ +âī ´ +âī ¿ +âĬ Ĭ +âĬ ĭ +âĬ Ķ +âĬ ĸ +âĬ £ +âĬ ¦ +âĭ İ +âĭ ª +âĭ ² +âĮ ¦ +âĮ § +âį º +âİ Ī +âİ ¨ +âİ ¬ +âİ ³ +âİ ¼ +âİ ¾ +âı Į +âı ļ +âı « +âı ¯ +âı µ +âĴ ľ +âĴ Ŀ +âĴ « +âĵ Ħ +âĵ Ĭ +âĵ Ļ +âĵ © +âĶ ij +âĶ Ļ +âĶ ļ +âĶ ¥ +âķ ħ +âķ ī +âķ į +âķ ı +âķ ŀ +âĸ ļ +âĸ ¯ +âĹ ĥ +âĹ ļ +âĹ ¬ +âĹ ´ +âĺ Ī +âĺ ¤ +âĺ ¥ +âĺ § +âĺ ¬ +âĻ ģ +âĻ ± +âļ ĥ +âļ Ħ +âļ ħ +âļ ı +âļ ļ +âļ ŀ +âļ Ł +âļ ± +âļ ² +âľ Ģ +âľ Ł +âľ ¢ +âĿ µ +⣠¡ +⣠¦ +⣠§ +⣠³ +⣠¾ +⣠¿ +âł ĩ +⤠Ħ +⤠º +⥠Ĥ +⥠¹ +⧠ī +⧠¼ +⧠½ +⨠į +⬠Ĭ +⬠Ł +âŃ ŀ +â® ŀ +â® ³ +⯠Ī +⯠ij +â± ł +â± ± +â² Ń +â´ ¹ +âµ ķ +⸠¾ +â º« +â¼ Ĩ +â¼ ł +â½ Ł +â½ ¼ +â¾ Ľ +â¾ § +â¿ ĥ +â¿ » +ãĤ ķ +ãĤ Ł +ãĦ Ľ +ãĦ ¡ +ãĦ ¶ +ãĦ º +ãħ Ĵ +ãħ Ł +ãĨ Ģ +ãĩ » +ãĪ ij +ãĪ Ń +ãĪ ® +ãĪ ³ +ãĪ ¹ +ãī ¥ +ãī ¦ +ãī ¹ +ãī ¿ +ãĬ ŀ +ãĬ ¨ +ãĭ ij +ãĭ ¥ +ãĭ ´ +ãĭ º +ãİ Ħ +ãİ ķ +ãİ ¯ +ãı Ĥ +ãı Ī +ãı ĵ +ãı ĸ +ãı ± +ãIJ ± +ãŁ ģ +ã ¢ +㢠¨ +ã ¨ +㨠³ +ã« ª +ã« ´ +㶠³ +㺠¾ +ä Ģ +äĢ Ģ +ä ĭ +äĭ Į +ä ĮĢ +äIJ Ģ +ä łĢ +ä ł +äł ¼ +ä § +ä§ ŀ +ä¨ ° +ä¨ º +ä ´Ģ +ä · +ä· ħ +ä ·¸ +ê Ĥ +êĤ « +ê Į +êĮ ¼ +ê į +êį ² +êĴ µ +ê ĵ +êĵ ½ +êĻ Ń +êĿ Ľ +êĿ ¥ +ê ŀ +êŀ Ĭ +ê¦ Ĩ +ê¦ ĩ +ê¦ Ł +ê¦ ¨ +ê§ Ī +ê © +ê© Ł +êª ĭ +êª ij +êª ķ +êª Ĺ +êª ľ +êª ® +êª ± +êª » +êª ¼ +ê« Ģ +ê« Ŀ +ê° ĥ +ê° ĺ +ê± ľ +ê² ĵ +ê² ļ +ê³ Ļ +ê³ ¾ +ê´ Ĺ +ê´ Ļ +êµ Ľ +ê¶ ĥ +ê¶ ķ +ê¶ ¨ +ê¸ © +ê¸ ¿ +ê ¹Ħ +ê¹ Ĩ +ê¹ ī +ê¹ ĵ +ê¹ ¢ +ê¹ £ +ê¹ ¸ +êº ³ +ê¿ ı +ê¿ ķ +ê¿ § +ëĢ © +ëģ ħ +ëĥ µ +ëĦ ĸ +ëĦ Ĺ +ëĦ ¢ +ëħ Ĥ +ëĨ IJ +ëĩ ľ +ëĪ ĭ +ëĪ ļ +ëī į +ëī ¨ +ëĬ ļ +ëĬ ¡ +ëĭ ľ +ëĭ ª +ëĮ ĺ +ëĮ ¤ +ëĮ ¸ +ëİ Ł +ëı ¨ +ëIJ Ħ +ëIJ ı +ëIJ ´ +ëIJ ¸ +ëij ģ +ëij ¿ +ëĴ ¨ +ëĵ · +ëĶ ® +ëĶ ² +ëķ § +ëĸ Ķ +ëĸ ª +ëĺ Ń +ëļ Ģ +ëļ ł +ëĽ Ķ +ëĽ © +ëľ ħ +ëŀ ķ +ëŀ ° +ëŁ IJ +ëł ¡ +ë¡ ŀ +ë¡ £ +ë¡ µ +ë£ Ħ +ë£ į +ë¤ ³ +ë¦ į +ë¦ ı +ë¦ ³ +ë§ Ħ +ë§ Ĩ +ë§ į +ë§ ľ +ë§ « +ë§ » +ë¨ ® +ë© Ĥ +ë© Ń +ëª ´ +ë¬ ľ +ë¬ ł +ë¬ « +ë¬ ¾ +ëŃ ¬ +ë® ĺ +ë® ¹ +ë¯ ķ +ë¯ ľ +ë° ¨ +ë° ª +ë± Ķ +ë² ĺ +ë² Ľ +ë² ± +ë² ´ +ë´ ½ +ëµ ¤ +ëµ ¨ +ë· Ĺ +ë· ĺ +ë¸ ĵ +ë¸ ľ +ë¹ ª +ëº ĥ +ëº ĺ +ëº µ +ë» ´ +ë¼ IJ +ë¾ Ķ +ìģ Ń +ìĤ ł +ìĤ ® +ìĥ ı +ìĥ Ļ +ìĦ º +ìħ ¢ +ìĨ Ģ +ìĨ ħ +ìĨ ¤ +ìĨ ¦ +ìĨ ¬ +ìĩ ± +ìĪ µ +ìĭ ¨ +ìĭ ´ +ìĮ ° +ìį ľ +ìİ Ĺ +ìİ ĺ +ìİ ¼ +ìij ī +ìij Ŀ +ìij » +ìĴ Ķ +ìĴ ¯ +ìĵ © +ìķ IJ +ìķ ĸ +ìĸ ł +ìĸ ¾ +ìĹ ĥ +ìĹ Ĺ +ìĹ ľ +ìĹ ¨ +ìĺ Ĥ +ìĺ Ħ +ìĺ ı +ìĺ ¾ +ìĺ ¿ +ìľ § +ìĿ IJ +ìĿ ĸ +ìĿ · +ìŀ į +ìŀ ı +ìŀ ¨ +ìŀ ª +ìŀ ³ +ìł ¡ +ìł ´ +ìł ¹ +ì¡ Ģ +ì¡ ª +ì¡ µ +ì¢ IJ +ì¢ ¨ +ì£ Į +ì£ Ļ +ì£ ³ +ì¦ ij +ì§ ¥ +ì§ ´ +ì§ ¾ +ì¨ ĵ +ì¨ ķ +ì© ° +ì© » +ì© ¼ +ìª Ĺ +ì¬ Ķ +ì¬ ĺ +ì® ® +ì¯ ķ +ì¯ ĺ +ì° İ +ì° ¯ +ì± ĥ +ì± µ +ì² § +ì² ® +ì² ¯ +ì³ ¬ +ì´ ĭ +ì´ ¢ +ìµ ¥ +ì¶ £ +ì¸ Ī +ì¸ Ļ +ìº ¤ +ìº Ń +ì» ½ +ì¼ Ļ +ì½ ¬ +ì¾ Ģ +ì¿ ħ +ì¿ ½ +íĢ ħ +íģ ¦ +íĤ ħ +íĥ ¶ +íĥ ¹ +íĦ Ķ +íħ £ +íĨ Ħ +íĨ § +íĨ ¹ +íĩ ¼ +íī ¤ +íĬ ½ +íĭ Ĥ +íĭ ij +íį Ī +íį Ļ +íį ¿ +íİ ¶ +íIJ Ŀ +íĴ ľ +íĵ Ŀ +íĵ ª +íĵ ± +íĵ · +íĵ ¼ +íĶ Ļ +íĶ ł +íķ ļ +íķ Ľ +íķ ŀ +íķ Ł +íķ § +íķ ¶ +íĸ Ĭ +íĸ ĭ +íĸ į +íĸ Ķ +íĸ ĺ +íĸ ¡ +íĸ ¬ +íĹ £ +íĹ ¿ +íĺ ĸ +íĺ Ń +íļ ° +íĽ į +íĽ ½ +íĿ Ł +íĿ Ń +íĿ ´ +íŀ ľ +ï¤ ī +ï¤ Ń +ï¤ ² +ï¤ µ +ï¤ ¼ +ï¥ Ģ +ï¥ ij +ï¥ Ĵ +ï¥ ķ +ï¥ ĺ +ï¥ Ļ +ï¥ « +ï¥ ¬ +ï¥ ° +ï ¥¿ +ï¦ ĭ +ï¦ ı +ï¦ Ķ +ï¦ ĸ +ï¦ ĺ +ï¦ Ľ +ï¦ ł +ï¦ ® +ï¦ ¯ +ï¦ º +ï¦ » +ï¦ ¾ +ï§ Ĩ +ï§ ĸ +ï§ Ľ +ï§ ŀ +ï§ Ł +ï§ § +ï§ ³ +ï§ º +ï§ ½ +ï¨ ĥ +ï¨ ļ +ï¨ ¢ +ï© Ł +ï¬ ¤ +ï¬ ¬ +ï¬ ¼ +ïŃ Ĵ +ïŃ ķ +ïŃ Ľ +ïŃ Ŀ +ïŃ ŀ +ïŃ Ł +ïŃ ¤ +ïŃ § +ïŃ ¨ +ïŃ ® +ïŃ ° +ïŃ ± +ïŃ · +ïŃ ¹ +ïŃ » +ï® Ģ +ï® ĥ +ï® Ħ +ï® ħ +ï® į +ï® Ĵ +ï® ĵ +ï® ķ +ï® ¦ +ï® ® +ï® ° +ï¯ ĵ +ï¯ ľ +ï¯ © +ï¯ ª +ï¯ ¬ +ï¯ Ń +ï¯ ® +ï¯ · +ï¯ ¹ +ï¯ » +ï¯ ¼ +ï° ĥ +ï° Į +ï° IJ +ï° ĺ +ï° Ļ +ï° ľ +ï° ŀ +ï° ¢ +ï° ® +ï° ° +ï° ¼ +ï° ¿ +ï± Ģ +ï± ģ +ï± Ī +ï± ĭ +ï± ı +ï± Ń +ï² Ģ +ï² ĩ +ï² Ī +ï² ĭ +ï² İ +ï² Ĵ +ï² ľ +ï² ł +ï² ¬ +ï² » +ï³ ĩ +ï³ Ķ +ï³ £ +ï³ « +ï´ ĺ +ï´ ° +ï´ ½ +ï ¶ +ï¶ ° +ï¸ ĸ +ï¸ ´ +ï¸ ¹ +ï¹ į +ï¹ Ĺ +ï¹ ¢ +ï¹ ¤ +ï¹ © +ï¹ ± +ï¾ ° +ï¿ Ĥ +ï¿ ® +ðIJĮ ° +ðIJĮ ¹ +ðIJĮ º +ðIJĮ ½ +ðIJį Ĥ +ðIJį ĥ +ðIJį Ħ +ðIJ İ +ðIJİ ¹ +ðIJ¤ Ĥ +ðIJ¤ į +ðIJ¤ ı +ðIJ¤ ĵ +ðIJŃ ī +ðIJŃ į +ðIJ° ĩ +ðIJ° ° +ðij Ĥ +ðijĤ Ħ +ðij ĺ +ðijĺ ģ +ðĴ Ģ +ðĴĢ ¸ +ðĴ ģ +ðĴģ º +ðĴ Ħ +ðĴĦ · +ðĴ Ĭ +ðĴĬ ij +ðĴ ĭ +ðĴĭ Ĺ +ð ĴĮ +ðĴĮ ¨ +ðĵĥ ¢ +ðĵĥ ° +ðĸ ł +ðĸł ļ +ðĿĦ ĥ +ðĿĦ ħ +ðĿĦ ķ +ðĿĦ Ļ +ðĿĦ ± +ðĿĦ ´ +ðĿĦ ¹ +ðĿħ İ +ðĿħ ª +ðĿĨ £ +ðĿĨ ³ +ðĿĨ ¹ +ðĿĩ Ĭ +ðĿĩ Ĺ +ðĿĩ ļ +ðĿĩ ľ +ðĿĩ ł +ðĿIJ ī +ðĿIJ ĸ +ðĿIJ ĺ +ðĿIJ £ +ðĿIJ ± +ðĿij Ĭ +ðĿij Ń +ðĿij ¼ +ðĿij ½ +ðĿĴ ° +ðĿĴ · +ðĿĴ ¿ +ðĿĵ ģ +ðĿĵ ĭ +ðĿĵ İ +ðĿĵ Ĵ +ðĿ ĵĺ +ðĿĵ ¢ +ðĿĵ ¦ +ðĿĵ « +ðĿĵ ¿ +ðĿĶ İ +ðĿĶ ± +ðĿĶ ´ +ðĿĶ · +ðĿĶ ¸ +ðĿĶ ½ +ðĿķ Ĥ +ðĿķ ĥ +ðĿķ ĭ +ðĿķ ı +ðĿķ IJ +ðĿķ ¥ +ðĿķ ´ +ðĿķ º +ðĿĸ IJ +ðĿĸ Ľ +ðĿĸ Ŀ +ðĿĸ ŀ +ðĿĹ © +ðĿĹ ³ +ðĿĹ ½ +ðĿĺ Ĭ +ðĿĺ ĭ +ðĿĺ Ķ +ðĿĺ ± +ðĿĺ ´ +ðĿĺ ¿ +ðĿĻ Ĵ +ðĿĻ Ŀ +ðĿĻ Ł +ðĿĻ ¬ +ðĿĻ Ń +ðĿĻ » +ðĿĻ ¾ +ðĿļ Ī +ðĿļ ĭ +ðĿļ ij +ðĿļ Ł +ðĿļ ł +ðĿļ £ +ðĿĽ ½ +ðĿľ Ĥ +ðĿľ Ķ +ðĿľ Ļ +ðŁ Ģ +ðŁĢ Ħ +ðŁĦ ² +ðŁĦ ¶ +ðŁħ IJ +ðŁħ ĸ +ðŁħ ļ +ðŁħ Ľ +ðŁħ ¦ +ðŁħ ¶ +ðŁħ » +ðŁħ ¼ +ðŁĨ ĥ +ðŁĨ Ĩ +ðŁĨ İ +ðŁĪ ¯ +ðŁĪ ² +ðŁĪ ¹ +ðŁĮ ĩ +ðŁĮ ĵ +ðŁį ĺ +ðŁİ ij +ðŁİ ¿ +ðŁı ı +ðŁı Ĵ +ðŁı © +ðŁı ¯ +ðŁIJ Ģ +ðŁij Ŀ +ðŁĴ ¹ +ðŁĴ º +ðŁĵ Ł +ðŁĵ ª +ðŁĵ ¼ +ðŁĶ Ģ +ðŁĶ Ĥ +ðŁĶ ĥ +ðŁĶ ĩ +ðŁĶ ĵ +ðŁĶ ¢ +ðŁĶ ¤ +ðŁĶ © +ðŁķ ĸ +ðŁķ ļ +ðŁķ ľ +ðŁķ Ŀ +ðŁķ ŀ +ðŁķ ł +ðŁķ ¢ +ðŁķ ³ +ðŁĸ ĩ +ðŁĸ ij +ðŁĸ ¶ +ðŁĹ ģ +Ñ ¨ +Ú İ +á¡ Į +Ḡ° +ẠĢ +á¼ ® +á½ Ŀ +âĦ ¬ +âļ § +⼠¤ +ã³ ¬ +êĻ ĭ +ê¸ ij +ëĶ ī +ëĹ į +ë¡ ij +ë¯ ij +ë» ħ +ë¼ Ŀ +ìĦ IJ +ìī ¡ +ìĭ ² +ìı ± +ìĹ ¤ +ìĿ © +ìĿ ¿ +ìŁ Ļ +ìł ° +ì¥ ī +íĬ Ń +íķ ® +ï® ı +ðŁħ ± +ðŁĨ Ĵ +ðŁķ ĭ +É ĺ +Ê ĵ +Õ ĥ +à´ ´ +འħ +áĨ º +áĪ Ĭ +áĪ ¨ +áĪ ¾ +áī IJ +áĮ ĥ +áĮ ½ +áĶ Ń +áł Ĥ +áł ¬ +ᨠ¸ +á© ĭ +ᶠı +á¾ Ķ +á¿ IJ +á¿ ļ +âĻ Ļ +âļ Ĥ +âļ Ĺ +â¡ ¢ +⤠¦ +ëĸ ° +ë¤ Ĥ +ë§ ł +ë± ĭ +ë± IJ +ìĽ ¢ +ìľ ¾ +ì³ ħ +ì» ģ +íģ » +íĥ Ļ +íĵ ĸ +íĵ Ń +íķ ± +íĽ ľ +ï¤ ħ +ï¤ Ĩ +ï¦ ĥ +ï§ © +ï¨ Ĥ +ðIJ¤ Ķ +ðIJŃ ĵ +ðIJ° ¼ +ðĿĵ ŀ +ðĿĵ ° +ðĿĻ ľ +ðĿļ ģ +ðŁħ ¢ +ðŁı ĩ +È ² +Ê ¶ +Ô Ī +Ô ij +Ý ĵ +Ý ¥ +ठij +ॠ± +ଠī +à° ³ +à° µ +ಠŁ +áĢ ı +áģ ¼ +áī ¨ +áĬ Ĵ +áĭ © +áĮ Ħ +áĮ Ķ +áIJ § +á ĴĮ +áĶ ħ +áĶ Ĭ +áł Ħ +ᨠģ +Ḡĥ +Ḡ» +âĶ ŀ +âĺ µ +âļ £ +â² ¢ +ãĪ ª +ä¶ µ +ê² Ļ +ê² ´ +ê³ Ĥ +ë¡ ¼ +ìĨ Ĭ +ì¼ ĩ +íĭ į +íĵ ¬ +íĵ ® +íĵ ¶ +íĵ » +ï¤ ¦ +ï¥ ł +ï¥ ± +ïŃ ² +ðIJŃ Ĭ +ðIJ ±ħ +ðĸ ¥ +ðĸ¥ ¨ +ðĿij ³ +ðĿĵ ķ +ðĿĵ ¬ +ðĿĵ ¹ +ðĿĵ ¾ +ðĿĶ ĵ +ðĿķ į +ðĿķ ¡ +ðĿķ ± +ðĿĸ ĸ +ðĿĺ ı +ðĿĺ IJ +ðĿĺ ļ +ðĿĻ ® +ðĿĻ ° +ðĿĻ ¸ +ðĿĻ º +ðĿĻ ¼ +ðĿĻ ½ +ðĿĻ ¿ +ðĿļ Ħ +ðĿļ ı +ðŁħ ħ +ðŁħ ĵ +Æ Ī +àł Į +áĻ ³ +á ļĮ +ἠħ +ἠIJ +ᤠĬ +ḠĬ +âĶ ½ +âķ Ĭ +⼠ĩ +⼠ı +âĿ ª +âĿ « +⣠° +ãĦ į +ãĦ ĵ +ãĦ § +ãħ ĸ +ãī « +ê¦ Ķ +ï± Ĭ +ຠĤ +áħ £ +ᥠĶ +ᥠ¤ +âĨ ¤ +âĨ · +âĩ ŀ +âĸ ¤ +âŀ ¶ +ãĪ ¼ +ï¨ · +ðĵı § +âĶ ² +âĢ ´ +âĴ Ł +âĴ ¡ +â° Ĥ +â° į +â° İ +â° IJ +â° ij +â° Ł +â° ł +â° ¡ +â¼ Ń +ãĬ ¥ +âĴ ł +â½ º +ãĩ º +ãĩ ½ +ï¨ Ĭ +áķ · +âį ¨ +⺠Ł +â½ Ĺ diff --git a/comfy/text_encoders/qwen25_tokenizer/tokenizer_config.json b/comfy/text_encoders/qwen25_tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..67688e82ccf6bf5b0fa2d95130fb8564acce6398 --- /dev/null +++ b/comfy/text_encoders/qwen25_tokenizer/tokenizer_config.json @@ -0,0 +1,241 @@ +{ + "add_bos_token": false, + "add_prefix_space": false, + "added_tokens_decoder": { + "151643": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151644": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151645": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151646": { + "content": "<|object_ref_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151647": { + "content": "<|object_ref_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151648": { + "content": "<|box_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151649": { + "content": "<|box_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151650": { + "content": "<|quad_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151651": { + "content": "<|quad_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151652": { + "content": "<|vision_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151653": { + "content": "<|vision_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151654": { + "content": "<|vision_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151655": { + "content": "<|image_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151656": { + "content": "<|video_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151657": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151658": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151659": { + "content": "<|fim_prefix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151660": { + "content": "<|fim_middle|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151661": { + "content": "<|fim_suffix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151662": { + "content": "<|fim_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151663": { + "content": "<|repo_name|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151664": { + "content": "<|file_sep|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151665": { + "content": "<|img|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151666": { + "content": "<|endofimg|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151667": { + "content": "<|meta|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151668": { + "content": "<|endofmeta|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "bos_token": null, + "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- message.content }}\n {{- '\\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n", + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": {}, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "processor_class": "Qwen2_5_VLProcessor", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/comfy/text_encoders/qwen25_tokenizer/vocab.json b/comfy/text_encoders/qwen25_tokenizer/vocab.json new file mode 100644 index 0000000000000000000000000000000000000000..4783fe10ac3adce15ac8f358ef5462739852c569 --- /dev/null +++ b/comfy/text_encoders/qwen25_tokenizer/vocab.json @@ -0,0 +1 @@ +{"!":0,"\"":1,"#":2,"$":3,"%":4,"&":5,"'":6,"(":7,")":8,"*":9,"+":10,",":11,"-":12,".":13,"/":14,"0":15,"1":16,"2":17,"3":18,"4":19,"5":20,"6":21,"7":22,"8":23,"9":24,":":25,";":26,"<":27,"=":28,">":29,"?":30,"@":31,"A":32,"B":33,"C":34,"D":35,"E":36,"F":37,"G":38,"H":39,"I":40,"J":41,"K":42,"L":43,"M":44,"N":45,"O":46,"P":47,"Q":48,"R":49,"S":50,"T":51,"U":52,"V":53,"W":54,"X":55,"Y":56,"Z":57,"[":58,"\\":59,"]":60,"^":61,"_":62,"`":63,"a":64,"b":65,"c":66,"d":67,"e":68,"f":69,"g":70,"h":71,"i":72,"j":73,"k":74,"l":75,"m":76,"n":77,"o":78,"p":79,"q":80,"r":81,"s":82,"t":83,"u":84,"v":85,"w":86,"x":87,"y":88,"z":89,"{":90,"|":91,"}":92,"~":93,"¡":94,"¢":95,"£":96,"¤":97,"¥":98,"¦":99,"§":100,"¨":101,"©":102,"ª":103,"«":104,"¬":105,"®":106,"¯":107,"°":108,"±":109,"²":110,"³":111,"´":112,"µ":113,"¶":114,"·":115,"¸":116,"¹":117,"º":118,"»":119,"¼":120,"½":121,"¾":122,"¿":123,"À":124,"Á":125,"Â":126,"Ã":127,"Ä":128,"Å":129,"Æ":130,"Ç":131,"È":132,"É":133,"Ê":134,"Ë":135,"Ì":136,"Í":137,"Î":138,"Ï":139,"Ð":140,"Ñ":141,"Ò":142,"Ó":143,"Ô":144,"Õ":145,"Ö":146,"×":147,"Ø":148,"Ù":149,"Ú":150,"Û":151,"Ü":152,"Ý":153,"Þ":154,"ß":155,"à":156,"á":157,"â":158,"ã":159,"ä":160,"å":161,"æ":162,"ç":163,"è":164,"é":165,"ê":166,"ë":167,"ì":168,"í":169,"î":170,"ï":171,"ð":172,"ñ":173,"ò":174,"ó":175,"ô":176,"õ":177,"ö":178,"÷":179,"ø":180,"ù":181,"ú":182,"û":183,"ü":184,"ý":185,"þ":186,"ÿ":187,"Ā":188,"ā":189,"Ă":190,"ă":191,"Ą":192,"ą":193,"Ć":194,"ć":195,"Ĉ":196,"ĉ":197,"Ċ":198,"ċ":199,"Č":200,"č":201,"Ď":202,"ď":203,"Đ":204,"đ":205,"Ē":206,"ē":207,"Ĕ":208,"ĕ":209,"Ė":210,"ė":211,"Ę":212,"ę":213,"Ě":214,"ě":215,"Ĝ":216,"ĝ":217,"Ğ":218,"ğ":219,"Ġ":220,"ġ":221,"Ģ":222,"ģ":223,"Ĥ":224,"ĥ":225,"Ħ":226,"ħ":227,"Ĩ":228,"ĩ":229,"Ī":230,"ī":231,"Ĭ":232,"ĭ":233,"Į":234,"į":235,"İ":236,"ı":237,"IJ":238,"ij":239,"Ĵ":240,"ĵ":241,"Ķ":242,"ķ":243,"ĸ":244,"Ĺ":245,"ĺ":246,"Ļ":247,"ļ":248,"Ľ":249,"ľ":250,"Ŀ":251,"ŀ":252,"Ł":253,"ł":254,"Ń":255,"ĠĠ":256,"ĠĠĠĠ":257,"in":258,"Ġt":259,"ĠĠĠĠĠĠĠĠ":260,"er":261,"ĠĠĠ":262,"on":263,"Ġa":264,"re":265,"at":266,"st":267,"en":268,"or":269,"Ġth":270,"ĊĊ":271,"Ġc":272,"le":273,"Ġs":274,"it":275,"an":276,"ar":277,"al":278,"Ġthe":279,";Ċ":280,"Ġp":281,"Ġf":282,"ou":283,"Ġ=":284,"is":285,"ĠĠĠĠĠĠĠ":286,"ing":287,"es":288,"Ġw":289,"ion":290,"ed":291,"ic":292,"Ġb":293,"Ġd":294,"et":295,"Ġm":296,"Ġo":297,"ĉĉ":298,"ro":299,"as":300,"el":301,"ct":302,"nd":303,"Ġin":304,"Ġh":305,"ent":306,"id":307,"Ġn":308,"am":309,"ĠĠĠĠĠĠĠĠĠĠĠ":310,"Ġto":311,"Ġre":312,"--":313,"Ġ{":314,"Ġof":315,"om":316,");Ċ":317,"im":318,"čĊ":319,"Ġ(":320,"il":321,"//":322,"Ġand":323,"ur":324,"se":325,"Ġl":326,"ex":327,"ĠS":328,"ad":329,"Ġ\"":330,"ch":331,"ut":332,"if":333,"**":334,"Ġ}":335,"em":336,"ol":337,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":338,"th":339,")Ċ":340,"Ġ{Ċ":341,"Ġg":342,"ig":343,"iv":344,",Ċ":345,"ce":346,"od":347,"Ġv":348,"ate":349,"ĠT":350,"ag":351,"ay":352,"Ġ*":353,"ot":354,"us":355,"ĠC":356,"Ġst":357,"ĠI":358,"un":359,"ul":360,"ue":361,"ĠA":362,"ow":363,"Ġ'":364,"ew":365,"Ġ<":366,"ation":367,"()":368,"Ġfor":369,"ab":370,"ort":371,"um":372,"ame":373,"Ġis":374,"pe":375,"tr":376,"ck":377,"âĢ":378,"Ġy":379,"ist":380,"----":381,".ĊĊ":382,"he":383,"Ġe":384,"lo":385,"ĠM":386,"Ġbe":387,"ers":388,"Ġon":389,"Ġcon":390,"ap":391,"ub":392,"ĠP":393,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":394,"ass":395,"int":396,">Ċ":397,"ly":398,"urn":399,"Ġ$":400,";ĊĊ":401,"av":402,"port":403,"ir":404,"->":405,"nt":406,"ction":407,"end":408,"Ġde":409,"ith":410,"out":411,"turn":412,"our":413,"ĠĠĠĠĠ":414,"lic":415,"res":416,"pt":417,"==":418,"Ġthis":419,"Ġwh":420,"Ġif":421,"ĠD":422,"ver":423,"age":424,"ĠB":425,"ht":426,"ext":427,"=\"":428,"Ġthat":429,"****":430,"ĠR":431,"Ġit":432,"ess":433,"ĠF":434,"Ġr":435,"os":436,"and":437,"Ġas":438,"ect":439,"ke":440,"rom":441,"Ġ//":442,"con":443,"ĠL":444,"(\"":445,"qu":446,"lass":447,"Ġwith":448,"iz":449,"de":450,"ĠN":451,"Ġal":452,"op":453,"up":454,"get":455,"Ġ}Ċ":456,"ile":457,"Ġan":458,"ata":459,"ore":460,"ri":461,"Ġpro":462,";čĊ":463,"ĉĉĉĉ":464,"ter":465,"ain":466,"ĠW":467,"ĠE":468,"Ġcom":469,"Ġreturn":470,"art":471,"ĠH":472,"ack":473,"import":474,"ublic":475,"Ġor":476,"est":477,"ment":478,"ĠG":479,"able":480,"Ġ-":481,"ine":482,"ill":483,"ind":484,"ere":485,"::":486,"ity":487,"Ġ+":488,"Ġtr":489,"elf":490,"ight":491,"('":492,"orm":493,"ult":494,"str":495,"..":496,"\",":497,"Ġyou":498,"ype":499,"pl":500,"Ġnew":501,"Ġj":502,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":503,"Ġfrom":504,"Ġex":505,"ĠO":506,"ld":507,"Ġ[":508,"oc":509,":Ċ":510,"Ġse":511,"Ġle":512,"--------":513,".s":514,"{Ċ":515,"',":516,"ant":517,"Ġat":518,"ase":519,".c":520,"Ġch":521,"":589,"ust":590,"que":591,"Ġres":592,"))":593,"'s":594,"Ġk":595,"ans":596,"yst":597,"unction":598,"********":599,"Ġi":600,"Ġus":601,"pp":602,"one":603,"ail":604,"====":605,"name":606,"Ġstr":607,"Ġ/":608,"Ġ&":609,"ach":610,"div":611,"ystem":612,"ell":613,"Ġhave":614,"err":615,"ould":616,"ull":617,"pon":618,"ĠJ":619,"_p":620,"Ġ==":621,"ign":622,"St":623,".Ċ":624,"Ġpl":625,");ĊĊ":626,"form":627,"put":628,"ount":629,"}ĊĊ":630,"dd":631,"ite":632,"Ġget":633,"rr":634,"ome":635,"ĠâĢ":636,"aram":637,"cc":638,"Ġ*/":639,"ER":640,"In":641,"les":642,"_s":643,"ong":644,"ie":645,"Ġcan":646,"ĠV":647,"erv":648,"pr":649,"Ġun":650,"row":651,"ber":652,"Ġdo":653,"ll":654,"Ġel":655,"Ġself":656,"ated":657,"ary":658,"Ġ.":659,"']":660,"ud":661,"Ġen":662,"ĠTh":663,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":664,"te":665,"_c":666,"uct":667,"Ġab":668,"ork":669,".get":670,"Ġ#":671,"aw":672,"ress":673,"ob":674,"Name":675,"app":676,"['":677,"Ġall":678,"ory":679,"ition":680,"ance":681,"ear":682,"Ġcont":683,"vent":684,"ia":685,"Ġwill":686,"IN":687,"ĠĠĠĠĠĠĠĠĠ":688,"return":689,"Ġ":755,"\",Ċ":756,"ec":757,"ĠIn":758,"ph":759,"Ġ|":760,"_f":761,"Ġvar":762,"ence":763,"Id":764,"ree":765,"ink":766,"lect":767,"ug":768,"eth":769,"Ġelse":770,"----------------":771,"cont":772,"Ġso":773,"atic":774,"Ġlo":775,"pro":776,"ton":777,"ss":778,"own":779,"abel":780,"oint":781,"ous":782,"eld":783,"ST":784,"The":785,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":786,"RE":787,"\":":788,"olor":789,"tp":790,"eg":791,"key":792,"ude":793,"ĠSt":794,"ound":795,"Ġar":796,"\");Ċ":797,"ener":798,"ser":799,"bject":800,"essage":801,"fer":802,"Ġmore":803,"ations":804,"ents":805,"Ġhis":806,"Ġthey":807,".S":808,"ĠY":809,"use":810,"ne":811,"ish":812,"old":813,"_d":814,"io":815,"ield":816,"Ġper":817,"Cont":818,"ings":819,"####":820,"Ġdata":821,"Ġsa":822,"ef":823,"fo":824,"Ġone":825,"eng":826,"Ġdis":827,"AT":828,"Ġname":829,"Ġtrue":830,"val":831,"led":832,".f":833,"Ġne":834,"Ġend":835,".T":836,"cre":837,"ark":838,"log":839,"Ex":840,"error":841,"_id":842,"urre":843,"ange":844,"Ġnull":845,"rray":846,"Ġmy":847,"pan":848,"ict":849,"ator":850,"View":851,"List":852,"ĉreturn":853,"âĢĿ":854,"Ġpre":855,"Ġx":856,"clude":857,"arg":858,"ov":859,".h":860,"Ġ>":861,"Ġtheir":862,"')":863,"irst":864,"ick":865,"gh":866,"LE":867,"OR":868,"Ġprivate":869,"tem":870,"čĊčĊ":871,"user":872,"Ġ)":873,"com":874,".A":875,"\";Ċ":876,"Ġid":877,"read":878,"Ġwho":879,"_b":880,"\">Ċ":881,"Ġtime":882,"Ġman":883,"ry":884,"========":885,"roup":886,"rop":887,"public":888,"vel":889,"umber":890,"ble":891,"Ġwhich":892,"****************":893,"Ġany":894,"Ġfalse":895,"we":896,"Ġvalue":897,"Ġli":898,"\")":899,"nder":900,"gr":901,"Ġno":902,"param":903,"fig":904,".com":905,"Ġapp":906,"_l":907,"ions":908,".D":909,"ĠCh":910,"Ġabout":911,"Ġadd":912,"Ġsu":913,"Ġstring":914,"ID":915,"Ġover":916,"string":917,".l":918,"ource":919,"_C":920,"]Ċ":921,"Ġqu":922,"ĠString":923,"ca":924,"SE":925,"Ġro":926,"sh":927,"ual":928,"Type":929,"son":930,"new":931,"ern":932,"Ġag":933,"AR":934,"];Ċ":935,"].":936,"Ġ?":937,"ical":938,"Ġdes":939,"uth":940,"ix":941,"ays":942,"Ġtype":943,"'t":944,"ault":945,"Ġinter":946,"var":947,".b":948,"Ġpart":949,".d":950,"urrent":951,"IT":952,"EN":953,"enc":954,"(f":955,"ra":956,"value":957,"cho":958,"utton":959,"ose":960,"Ġ!=":961,"ater":962,"é":963,"reate":964,"oll":965,"pos":966,"yle":967,"ng":968,"AL":969,"using":970,"ames":971,"Ġ{čĊ":972,"ates":973,"ely":974,"Ġwork":975,"Ġem":976,"inal":977,"Ġsp":978,"Ġwhen":979,".set":980,"ĠĠĠĠĠĠ":981,"):Ċ":982,"to":983,"quire":984,"indow":985,"lement":986,"pect":987,"ash":988,"[i":989,"Ġuse":990,".F":991,"pec":992,"Ġad":993,"ove":994,"ception":995,"ength":996,"include":997,"ader":998,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":999,"atus":1000,"Th":1001,"itle":1002,"rit":1003,"void":1004,"().":1005,"(Ċ":1006,"Ġoff":1007,"Ġother":1008,"Ġ&&":1009,"';Ċ":1010,"ms":1011,"Ġbeen":1012,"Ġte":1013,"ml":1014,"co":1015,"nc":1016,"ervice":1017,"Ġ%":1018,"**Ċ":1019,"ann":1020,"ade":1021,"ĊĊĊĊ":1022,"lock":1023,"const":1024,"ponse":1025,"Ġsup":1026,"++":1027,"date":1028,"Ġacc":1029,"Ġhad":1030,"Ġbu":1031,"ĠRe":1032,"Ġwere":1033,"Ġfile":1034,"Ġwould":1035,"ĠâĢľ":1036,"ven":1037,"iss":1038,"Ġour":1039,"class":1040,"raw":1041,"Ġyear":1042,"Data":1043,"Ġval":1044,"Ġsome":1045,"fter":1046,"ys":1047,"Ġ///":1048,"round":1049,"view":1050,"Ġpe":1051,"Ġthere":1052,"Ġsaid":1053,"du":1054,"of":1055,"line":1056,"/*":1057,"duct":1058,"Ġher":1059,"ĠĠĠĠĠĠĠĠĠĠĠĠĠ":1060,"Res":1061,"Ġco":1062,"Ġcomm":1063,"ise":1064,"min":1065,"ĠĠĠĠĊ":1066,"#include":1067,"ethod":1068,".P":1069,"ute":1070,"Ġass":1071,"Int":1072,"ask":1073,"loc":1074,"Ġlike":1075,"ody":1076,"Ġlet":1077,"load":1078,"Ġam":1079,"rol":1080,"Ġgr":1081,"yp":1082,"Ġalso":1083,"ĠIt":1084,"url":1085,"ific":1086,"ors":1087,"_P":1088,"_n":1089,"igh":1090,"Ġthan":1091,"Com":1092,"AN":1093,"UL":1094,"ating":1095,"ĠThis":1096,"ref":1097,"_S":1098,"Ġstatic":1099,"roll":1100,"Ġjust":1101,"Ġresult":1102,"ian":1103,"idth":1104,"Ġthem":1105,"));Ċ":1106,"der":1107,"reak":1108,"Con":1109,"://":1110,"ule":1111,"...":1112,"arch":1113,"ement":1114,"Ġ<<":1115,"ush":1116,"ense":1117,"arr":1118,"Ġinto":1119,"cess":1120,"amp":1121,"ied":1122,"ument":1123,"Ġ\\":1124,"],":1125,"wo":1126,"als":1127,"Ġwhat":1128,"anc":1129,"Value":1130,"='":1131,"olum":1132,"Ġpos":1133,"ages":1134,"ayer":1135,"Ġsc":1136,"ues":1137,"\")Ċ":1138,"_T":1139,"Ġlist":1140,"(s":1141,"Ġcase":1142,"Ch":1143,"ĉĉĉĉĉ":1144,"////////":1145,"ponent":1146,"Ġz":1147,"Ġkn":1148,"let":1149,"DE":1150,"red":1151,"Ġfe":1152,"Ġ},Ċ":1153,"Ġ,":1154,"(t":1155,"Ġfirst":1156,"');Ċ":1157,"word":1158,"Ġimport":1159,"Ġact":1160,"Ġchar":1161,"CT":1162,"ĠTr":1163,"ople":1164,"={":1165,"ĉf":1166,"ient":1167,"cent":1168,".j":1169,"lection":1170,"))Ċ":1171,"Ġonly":1172,"Ġprint":1173,"mer":1174,".W":1175,"ock":1176,"Ġ--":1177,"Text":1178,"Ġop":1179,"ank":1180,"Ġits":1181,"Ġback":1182,"[\"":1183,"Ġneed":1184,"Ġcl":1185,"Ġsub":1186,"Ġla":1187,"((":1188,".\"":1189,"Object":1190,"Ġstart":1191,"file":1192,"(self":1193,"ner":1194,"ey":1195,"Ġuser":1196,"Ġent":1197,"ĠCom":1198,"its":1199,"ĠCon":1200,"ouble":1201,"ower":1202,"item":1203,"very":1204,"ĠWe":1205,"lick":1206,"ĠQ":1207,"php":1208,"ttp":1209,"':":1210,"ics":1211,"Ġunder":1212,"Ġ*Ċ":1213,".L":1214,");":1215,"ices":1216,"Ġreg":1217,")čĊ":1218,"ĉpublic":1219,"SS":1220,"Ġthen":1221,"reat":1222,"ious":1223,".G":1224,"ek":1225,"irect":1226,"heck":1227,"cript":1228,"ning":1229,"ĠUn":1230,"Ġmay":1231,"ĠWh":1232,"Bo":1233,"Item":1234,"struct":1235,".st":1236,"ream":1237,"ible":1238,"loat":1239,"Ġorg":1240,"und":1241,"sum":1242,"_in":1243,"../":1244,"_M":1245,"Ġhow":1246,"rite":1247,"'Ċ":1248,"To":1249,"ww":1250,"Ġpeople":1251,"index":1252,".n":1253,"http":1254,"(m":1255,"ector":1256,"Ġind":1257,"Ġjav":1258,"],Ċ":1259,"ĠHe":1260,"_st":1261,"ful":1262,"ole":1263,"){Ċ":1264,"Ġshould":1265,"opy":1266,"elp":1267,"ier":1268,"_name":1269,"erson":1270,"ION":1271,"ote":1272,"Ġtest":1273,"Ġbet":1274,"rror":1275,"ular":1276,"ãĢ":1277,"ĠÐ":1278,"bs":1279,"ting":1280,"Ġmake":1281,"Tr":1282,"Ġafter":1283,"arget":1284,"RO":1285,"olumn":1286,"rc":1287,"_re":1288,"define":1289,"Ġright":1290,"right":1291,"day":1292,"Ġlong":1293,"[]":1294,"(p":1295,"td":1296,"cond":1297,"ĠPro":1298,"Ġrem":1299,"ptions":1300,"vid":1301,".g":1302,"Ġext":1303,"Ġ__":1304,"')Ċ":1305,"pace":1306,"mp":1307,"Ġmin":1308,"stance":1309,"air":1310,"action":1311,"wh":1312,"type":1313,"util":1314,"ait":1315,"ĊĊ":1339,"Ġshe":1340,"\"]":1341,"aph":1342,"Ġexp":1343,"erty":1344,"ĠSe":1345,"Ġpar":1346,"unc":1347,"ET":1348,"Ġread":1349,"print":1350,"Ġrel":1351,"Ġform":1352,"Ġdr":1353,"Exception":1354,"input":1355,"Ġtrans":1356,"########":1357,"order":1358,"By":1359,"Ġaw":1360,"ities":1361,"uff":1362,"play":1363,".add":1364,"ĠâĢĵ":1365,"Ġwant":1366,"Ġcomp":1367,"ments":1368,"Ġ||":1369,"az":1370,"be":1371,"Ġnumber":1372,"Ġrequire":1373,"ĠEx":1374,"Ġcol":1375,"Ġkey":1376,"ember":1377,"Ġtwo":1378,"Ġsize":1379,"Ġwhere":1380,"UT":1381,"result":1382,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":1383,"ough":1384,"orld":1385,"ood":1386,"uch":1387,"ative":1388,"ger":1389,"arent":1390,"Ġ/*":1391,"Ġarg":1392,"Ġwhile":1393,"(this":1394,"Ġrec":1395,"Ġdif":1396,"State":1397,"Ġspec":1398,"ride":1399,"_F":1400,"Ġlook":1401,"AM":1402,"ility":1403,"eter":1404,"âĢĻt":1405,"ĊĊĊ":1406,"ayout":1407,"--------------------------------":1408,"ager":1409,"Ġcould":1410,"Ġbr":1411,"ends":1412,"ures":1413,"Ġknow":1414,"ets":1415,"ĠIf":1416,"ĠSh":1417,".w":1418,"back":1419,"Ġser":1420,"Ġ+=":1421,"Ġfr":1422,"());Ċ":1423,"Ġhand":1424,"Ind":1425,"ULL":1426,"Im":1427,"();ĊĊ":1428,"Ġmost":1429,"Ġtry":1430,"Ġnow":1431,"rough":1432,">čĊ":1433,"ackage":1434,"Ġhim":1435,"._":1436,"ify":1437,"Ġbreak":1438,"Ġ);Ċ":1439,"ren":1440,"#define":1441,"itt":1442,"Ġap":1443,"ĉc":1444,"(n":1445,"ĠYou":1446,":ĊĊ":1447,"-m":1448,"Ġevery":1449,"ustom":1450,"lient":1451,"ocument":1452,"cription":1453,"Error":1454,"-b":1455,"о":1456,"][":1457,"trans":1458,"Ġpoint":1459,"Ġstd":1460,"Ġfil":1461,"Time":1462,"Ġmod":1463,"Ġ->":1464,"Ġerror":1465,"ah":1466,"Ġtext":1467,"roller":1468,"lose":1469,"ql":1470,"Ġpol":1471,"><":1784,".B":1785,"-c":1786,"Ġopen":1787,"Ġest":1788,"ĠĠĠĠĠĠĠĠĊ":1789,"Ġnext":1790,"IM":1791,"ÑĤ":1792,"OT":1793,"ó":1794,"Ġfollow":1795,"content":1796,"ĠĠĠĠĠĠĠĠĠĠĠĠ":1797,"Ġinclud":1798,"HE":1799,"ĠRes":1800,"Ġhref":1801,"и":1802,"Ġcar":1803,"ypes":1804,"image":1805,"Un":1806,"Ġbool":1807,"AD":1808,"Ġgame":1809,".Form":1810,"rows":1811,"*/":1812,"velop":1813,".Drawing":1814,"Ġpath":1815,"ision":1816,"Ġeach":1817,"ĠPl":1818,"_type":1819,"Path":1820,"nection":1821,"Ġav":1822,"').":1823,"Ġsupport":1824,"ENT":1825,"rem":1826,"\").":1827,"Ġown":1828,"Ġcor":1829,"count":1830,"miss":1831,"ually":1832,"Ġmem":1833,"std":1834,"ience":1835,"search":1836,"\"ĊĊ":1837,"Form":1838,"Ġsex":1839,"ename":1840,"Ġsign":1841,"Ġet":1842,"ĠĠĠĠĠĠĠĠĠĠ":1843,"','":1844,"ĠApp":1845,"Ġthose":1846,"off":1847,"Ġerr":1848,"Ġsystem":1849,"Ġbest":1850,"code":1851,"Ġsame":1852,"Ġdi":1853,"uss":1854,"Ġcreate":1855,"ather":1856,"Array":1857,".in":1858,"fe":1859,"Service":1860,"UN":1861,"ats":1862,"ĠZ":1863,"alth":1864,"Ġmade":1865,"true":1866,"AB":1867,"Ġmark":1868,"rid":1869,"ified":1870,",čĊ":1871,"yn":1872,"press":1873,"Ġgroup":1874,"Ġfin":1875,"ĠLicense":1876,"Field":1877,"eger":1878,"Ġworld":1879,"iness":1880,"ty":1881,"Ġprocess":1882,"(b":1883,"Ġcre":1884,"arn":1885,"ives":1886,"Ġmain":1887,"ideo":1888,"_g":1889,"AG":1890,"valid":1891,"img":1892,"PI":1893,"Ġcolor":1894,"Ġreport":1895,"Ġtake":1896,"rib":1897,"OM":1898,"Ġday":1899,"Request":1900,"Ġsk":1901,"bers":1902,"ĉs":1903,".Add":1904,"oot":1905,"Image":1906,"Ġcomple":1907,"ollection":1908,"Ġtop":1909,"Ġfree":1910,"AS":1911,"De":1912,"ĠOn":1913,"IG":1914,"eta":1915,"Date":1916,"Ġaction":1917,"Over":1918,"itor":1919,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":1920,"not":1921,"Ġindex":1922,"her":1923,"icon":1924,"On":1925,";čĊčĊ":1926,"ivity":1927,"mand":1928,".Windows":1929,"OL":1930,"Ġreal":1931,"Ġmax":1932,"land":1933,"....":1934,"raph":1935,"Ġbuild":1936,"leg":1937,"assword":1938,"?ĊĊ":1939,"âĢ¦":1940,"ook":1941,"uck":1942,"Ġmessage":1943,"test":1944,"ivers":1945,"Ġinput":1946,"Ġart":1947,"Ġbetween":1948,"Get":1949,"enter":1950,"ground":1951,"ene":1952,"á":1953,".length":1954,"Node":1955,"(i":1956,"Class":1957,"for":1958,"ĠâĢĶ":1959,"ten":1960,"oin":1961,"Ġke":1962,"ui":1963,"ĠIN":1964,"Ġtable":1965,"sub":1966,"ĠLe":1967,"Ġhead":1968,"Ġmust":1969,"////////////////":1970,".util":1971,"Context":1972,"Ġorder":1973,"Ġmov":1974,"over":1975,"Ġcontin":1976,"Ġsay":1977,"static":1978,".Text":1979,"ĠclassName":1980,"pany":1981,"Ġter":1982,"head":1983,"rg":1984,"Ġproduct":1985,"This":1986,".âĢĿ":1987,"ĠBut":1988,"loy":1989,"Ġdouble":1990,"sg":1991,"Ġplace":1992,".x":1993,"message":1994,"Ġinformation":1995,"private":1996,"Ġoper":1997,"ced":1998,"db":1999,"\">":2179,"aterial":2180,"iled":2181,"Ġput":2182,"Qu":2183,"ÑĢ":2184,"ung":2185,"map":2186,"ĉĉĉĉĉĉĉĉ":2187,"Ġlevel":2188,"Component":2189,"book":2190,"creen":2191,"_RE":2192,"Ġconfig":2193,"ãģ":2194,"Or":2195,".data":2196,"Ġdocument":2197,"\",\"":2198,"tribute":2199,"ux":2200,"Log":2201,"ference":2202,"post":2203,"_e":2204,"Ġlocal":2205,"andom":2206,"assert":2207,"Val":2208,"lected":2209,"ina":2210,"atabase":2211,"Add":2212,"Ġcontent":2213,".print":2214,"signed":2215,"ric":2216,".\"ĊĊ":2217,"Ġfa":2218,"!ĊĊ":2219,"-f":2220,"ived":2221,"Ġquest":2222,".ex":2223,"Ġfloat":2224,"Ġdevelop":2225,"оÐ":2226,"Map":2227,"ading":2228,"Ġposs":2229,"UE":2230,"namespace":2231,"_O":2232,"ĉb":2233,".Get":2234,">(":2235,"json":2236,"etails":2237,"Ġtoo":2238,"Ġextends":2239,"ĠNone":2240,"Ġfore":2241,"(String":2242,"format":2243,"Ġgreat":2244,"inter":2245,"cale":2246,"Ñģ":2247,"ron":2248,"iving":2249,"Ent":2250,"ency":2251,"xt":2252,"oy":2253,"Ġmonth":2254,"Ġhapp":2255,"Ġsuper":2256,"bar":2257,"default":2258,"_de":2259,"ords":2260,"ln":2261,"({Ċ":2262,"ĠInd":2263,"ases":2264,"Ġtitle":2265,"Ġcontext":2266,"oh":2267,"-p":2268,"Em":2269,"Ġmet":2270,"Test":2271,"Ġlife":2272,"_v":2273,"ĠUS":2274,"UI":2275,"ocation":2276,"md":2277,"Ġ[Ċ":2278,"Ġ]":2279,"sw":2280,"Ġincre":2281,"script":2282,"ential":2283,"ways":2284,".de":2285,"Ġsrc":2286,"Ġcatch":2287,"ĠAmeric":2288,"//Ċ":2289,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":2290,"Ġpay":2291,"plit":2292,"âĢĶ":2293,"Ġcoun":2294,"obj":2295,".php":2296,"Ġchange":2297,"ething":2298,"'re":2299,"aster":2300,"los":2301,"lation":2302,"ĠĠĊ":2303,"Le":2304,"ä":2305,"({":2306,"ready":2307,"ĠNo":2308,"Ġposition":2309,"Ġold":2310,"Ġbook":2311,"abled":2312,"bug":2313,"Hand":2314,"};ĊĊ":2315,"isplay":2316,"aving":2317,"Ġgover":2318,"Ġversion":2319,"System":2320,"nect":2321,"response":2322,"Style":2323,"Up":2324,"angu":2325,"Ġthree":2326,"init":2327,"ero":2328,"Ġlaw":2329,"endif":2330,"Ġbase":2331,"email":2332,"(l":2333,"_V":2334,"Ġconf":2335,"ATE":2336,"Ġduring":2337,"tes":2338,"Ġconsole":2339,"ĠPr":2340,"Ġspe":2341,"ves":2342,"path":2343,"ialog":2344,"dition":2345,"_to":2346,"ards":2347,"Ġagainst":2348,"etwork":2349,"ĠPh":2350,"_L":2351,"cur":2352,"imit":2353,"With":2354,"Ġpower":2355,"ium":2356,"';ĊĊ":2357,"Ġwom":2358,"left":2359,"ources":2360,"atri":2361,"ĠIm":2362,"ĠMan":2363,"orth":2364,"${":2365,"quals":2366,"ese":2367,"_size":2368,"Ġiss":2369,"otal":2370,"-g":2371,"ique":2372,"rame":2373,"Ġwidth":2374,"erg":2375,")(":2376,"ittle":2377,"TR":2378,"ĠThey":2379,"ences":2380,"rl":2381,"ons":2382,"Ġlabel":2383,".y":2384,"-t":2385,"update":2386,"anel":2387,"sc":2388,".to":2389,"Ġproject":2390,"ü":2391,"Ġelement":2392,"Ġsuccess":2393,"ĉĉĊ":2394,".sh":2395,"ram":2396,"ched":2397,"())Ċ":2398,"Ġ(Ċ":2399,"Ġdate":2400,"Ġtot":2401,"_ST":2402,"All":2403,"ification":2404,"ĉvar":2405,"Ġtri":2406,"chem":2407,"my":2408,"Ġbig":2409,"ĠAd":2410,"ĠAt":2411,"ots":2412,"num":2413,"Act":2414,"Ġmap":2415,"era":2416,"cope":2417,".$":2418,",âĢĿ":2419,"Ġpop":2420,"Ġfew":2421,"Ġlen":2422,"uid":2423,"eters":2424,"ules":2425,"ÃŃ":2426,"source":2427,"https":2428,"Ġdem":2429,"Ġear":2430,"################":2431,"Ġmatch":2432,"ories":2433,"aces":2434,"ĠCl":2435,"Ġnode":2436,"irc":2437,"local":2438,"unity":2439,"};Ċ":2440,"Ġanother":2441,"<<":2442,"ogle":2443,"Ġsit":2444,"ework":2445,"TE":2446,".I":2447,"NS":2448,"ology":2449,"ought":2450,".Cont":2451,">>":2452,"Ġcare":2453,"state":2454,"ĉprivate":2455,"Ġeffect":2456,"++)":2457,"_file":2458,"ending":2459,"Line":2460,"For":2461,"ior":2462,"ĠSc":2463,"Ġfun":2464,".Size":2465,"ĉelse":2466,"])":2467,"start":2468,"vious":2469,"Ġ},":2470,"ours":2471,"Ġleg":2472,"Ġservice":2473,"Ġsince":2474,"iron":2475,"Label":2476,"Ġnon":2477,"Ġlos":2478,"iction":2479,"Ġfull":2480,"acter":2481,"board":2482,"gress":2483,"Ġturn":2484,"ither":2485,".size":2486,"Ġbody":2487,"resh":2488,"eturn":2489,"(_":2490,"yles":2491,"ormal":2492,"pi":2493,"Ġsomething":2494,"!--":2495,"uint":2496,"Ġprodu":2497,"Ġstand":2498,"Ġproble":2499,"Ġavailable":2500,"mt":2501,"ĠBl":2502,"Ġ...":2503,"Ġblock":2504,"Input":2505,"Ġkeep":2506,"Count":2507,"open":2508,"Ġ['":2509,"Ġthrow":2510,"uilder":2511,"Action":2512,"Ġthings":2513,"True":2514,"Ġurl":2515,"ĠBo":2516,"printf":2517,"Ġred":2518,"js":2519,".create":2520,"ĠOr":2521,"Status":2522,"Instance":2523,"Ġcontrol":2524,"Ġcome":2525,"Ġcustom":2526,"location":2527,"model":2528,"ĠčĊ":2529,"Ġsource":2530,"Ġeas":2531,".out":2532,"]ĊĊ":2533,"oney":2534,"Ġawait":2535,"Ġpartic":2536,"AP":2537,"ublish":2538,"odes":2539,"_pro":2540,"ply":2541,"riter":2542,"Ġprov":2543,"Ġmill":2544,"HT":2545,"])Ċ":2546,"Ġchang":2547,"Ġask":2548,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":2549,"Ġoutput":2550,"Ġemail":2551,".push":2552,"Ġ}čĊčĊ":2553,"ination":2554,"atrix":2555,"Table":2556,"uccess":2557,"]);Ċ":2558,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":2559,"Ġdisc":2560,"([":2561,"Ġbusiness":2562,"height":2563,".html":2564,"ta":2565,"field":2566,"Ġrequired":2567,"_R":2568,"Ġgovern":2569,"}čĊčĊ":2570,"lex":2571,".,":2572,"ĠSet":2573,"urch":2574,"///":2575,"ts":2576,"af":2577,"Ġmight":2578,"istory":2579,"Str":2580,"Ġnever":2581,"Response":2582,"arse":2583,"ada":2584,"ĠHow":2585,"Ġ*)":2586,"Ġ;":2587,"Ġhard":2588,"Ad":2589,"Ġintern":2590,"used":2591,"(data":2592,"mod":2593,"annel":2594,"Ġnp":2595,"ugg":2596,"Ġ/>Ċ":2597,"Ġcalled":2598,"body":2599,"Ġcho":2600,"(r":2601,"_set":2602,"ird":2603,"Ġ>=":2604,"Ġ};Ċ":2605,"Ġoptions":2606,"ĠGener":2607,"Ġheight":2608,"Point":2609,"You":2610,"ety":2611,"Click":2612,"Ġsmall":2613,"Ġide":2614,"Ġaccess":2615,"anguage":2616,"Ġprotected":2617,"Ġjob":2618,"ĠThere":2619,"Def":2620,"Ġaddress":2621,"Ġuint":2622,"Not":2623,"oo":2624,"aps":2625,"":2759,"ĉĠĠĠ":2760,"\"))":2761,"Content":2762,"_W":2763,"plement":2764,"Ġwon":2765,"Ġvideo":2766,"adi":2767,"point":2768,"%%":2769,"Ġgl":2770,"erved":2771,"viron":2772,"IF":2773,"uted":2774,"ãĥ":2775,"'m":2776,"Ġcert":2777,"Ġprof":2778,"Ġcell":2779,"ari":2780,"Ġplayer":2781,"ais":2782,"Ġcost":2783,"Ġhum":2784,"(R":2785,"Ġoffic":2786,"ks":2787,".text":2788,"atures":2789,"Ġtotal":2790,"Ġ*/ĊĊ":2791,"ope":2792,"Ġstat":2793,"UM":2794,"Ġload":2795,"ights":2796,"Ġclear":2797,"uro":2798,"Ġtechn":2799,"upport":2800,"IR":2801,"Ġrow":2802,"Ġseem":2803,"Ġq":2804,"Ġshort":2805,"ĠNot":2806,"ipp":2807,"Group":2808,"section":2809,"max":2810,"irl":2811,"Ġoverride":2812,"Ġcompany":2813,"Ġdone":2814,"\");čĊ":2815,"Ġgre":2816,".Re":2817,"Ġbelie":2818,"rist":2819,"Ġhealth":2820,"ANT":2821,"()ĊĊ":2822,"ĠBe":2823,".value":2824,"ĠGr":2825,"ottom":2826,"Ġargs":2827,"PT":2828,"status":2829,"func":2830,"uments":2831,"-h":2832,"Number":2833,":čĊ":2834,"ĠLog":2835,"erver":2836,"Ġ),Ċ":2837,"ament":2838,"Ġobj":2839,"inc":2840,"Ġchildren":2841,"icy":2842,"IZ":2843,"ands":2844,"ably":2845,"Ġdistrib":2846,"Ġcur":2847,"erial":2848,"Ġdays":2849,"reated":2850,"rect":2851,"-l":2852,"irm":2853,"idden":2854,"omb":2855,"Ġinitial":2856,".js":2857,"Ġâ":2858,"Query":2859,"Ġonline":2860,"imal":2861,".con":2862,"au":2863,"Url":2864,"control":2865,"irection":2866,"Ġinstance":2867,"ORT":2868,"ĠFr":2869,"where":2870,"Ġjavax":2871,"Ġorgan":2872,"apter":2873,"Ġreason":2874,"options":2875,"ĠMar":2876,"(a":2877,"Ġwithin":2878,".âĢĿĊĊ":2879,"ODE":2880,"_DE":2881,"admin":2882,"ended":2883,"Ġdesign":2884,"ĠData":2885,"une":2886,"ĠFile":2887,"root":2888,"Ġcent":2889,"Ġarr":2890,"_add":2891,"len":2892,"page":2893,",'":2894,"_str":2895,"Ġbro":2896,"ability":2897,"outh":2898,"/c":2899,"pose":2900,"irtual":2901,"earch":2902,"_url":2903,"argin":2904,"Http":2905,"Ġschool":2906,"ava":2907,"Ġconsider":2908,".label":2909,"ĠArray":2910,"web":2911,"opt":2912,".println":2913,"ulation":2914,"Ġfunc":2915,"PL":2916,"Ġ\"\\":2917,"ĠText":2918,"actory":2919,"(function":2920,"null":2921,"Ġeng":2922,"down":2923,"Ġinclude":2924,"ĠEn":2925,"ĠDr":2926,"Ġdb":2927,"!!":2928,"side":2929,"Ġinit":2930,"quired":2931,"ĠShe":2932,"Column":2933,"react":2934,"Ġann":2935,"Ġstop":2936,"Ġlater":2937,"ĠThat":2938,"ention":2939,"df":2940,"UG":2941,"ILE":2942,"Ġclient":2943,"raft":2944,"ffer":2945,"POST":2946,"elper":2947,"Ġlove":2948,"quote":2949,"oud":2950,"Ġjson":2951,"Ġable":2952,"Ġmen":2953,"AX":2954,"ĠCopyright":2955,"ö":2956,"avig":2957,"req":2958,"Client":2959,"});Ċ":2960,".Com":2961,"erc":2962,"ilt":2963,"pecial":2964,"_com":2965,"room":2966,".Name":2967,"Ġgive":2968,"amb":2969,"ike":2970,"Ġcondition":2971,"client":2972,"ators":2973,":\"":2974,"Ġcopy":2975,"uture":2976,"iversity":2977,"ernal":2978,"{{":2979,"ĠCan":2980,"ounc":2981,"do":2982,"Ġocc":2983,"Ġappro":2984,"thers":2985,"ze":2986,"Ġeither":2987,"ĠFl":2988,"Ġimportant":2989,"Ġlead":2990,"attr":2991,"ART":2992,"Equal":2993,"Ġda":2994,"etch":2995,"entity":2996,"Ġfamily":2997,"adding":2998,"Ġoption":2999,"Ġexist":3000,"ica":3001,"ĠObject":3002,"'ve":3003,"vers":3004,"itional":3005,"output":3006,"ĠTrue":3007,"ĠOF":3008,"_time":3009,"Ġoffer":3010,"Ġ});ĊĊ":3011,"HER":3012,"egin":3013,"\"\"":3014,"Ġwater":3015,"Ġche":3016,"ĠMy":3017,"ored":3018,"Ġstep":3019,"ances":3020,"CK":3021,"AY":3022,"à¸":3023,"struction":3024,"(C":3025,"ouch":3026,"Stream":3027,"active":3028,"ama":3029,"Entity":3030,"product":3031,"(){Ċ":3032,"Ġgovernment":3033,"ĠID":3034,"ajor":3035,"And":3036,"Ġdisplay":3037,"л":3038,"Ġtimes":3039,"Ġfour":3040,"Ġfar":3041,"Ġpresent":3042,"ĠNS":3043,"Ġ\\Ċ":3044,"uest":3045,"Ġbas":3046,"echo":3047,"child":3048,"ifier":3049,"Handler":3050,"Ġlib":3051,"Property":3052,"translation":3053,"Ġroom":3054,"Ġonce":3055,"Ġ[]":3056,"center":3057,"================================":3058,"Ġresults":3059,"Ġcontinue":3060,"Ġtalk":3061,"_get":3062,"Ġgrow":3063,".sw":3064,"eb":3065,"ĠPublic":3066,"OP":3067,"ecute":3068,"ols":3069,"Ġ**":3070,"\");ĊĊ":3071,"Ġmass":3072,"ured":3073,".class":3074,"omic":3075,"Ġmean":3076,"ips":3077,"Ġaut":3078,");čĊčĊ":3079,"Ġuntil":3080,"Ġmarket":3081,"Ġarea":3082,"uit":3083,"Ġlength":3084,"ĠWith":3085,"structor":3086,"event":3087,"\"><":3088,"ĠSp":3089,"IV":3090,"Ġmus":3091,"iff":3092,"Ġkind":3093,"author":3094,"ounds":3095,"mb":3096,"_key":3097,"width":3098,"pository":3099,"Ġlight":3100,"uk":3101,"Row":3102,"ohn":3103,"alf":3104,"vironment":3105,"apper":3106,"ollections":3107,"Ġside":3108,"_info":3109,"Ġexample":3110,"imary":3111,"Ġwr":3112,"Ġcamp":3113,"cribe":3114,"\"/":3115,"Ġmiss":3116,"way":3117,"Ġbased":3118,"Ġplan":3119,"Vis":3120,"omain":3121,"unk":3122,"Ġaway":3123,"UP":3124,"":3370,"Ġden":3371,"obile":3372,"change":3373,"ĠĠĠĠĠĠĠĠĠĠĠĠĊ":3374,"ici":3375,"na":3376,"ĠForm":3377,"Ġsort":3378,"Select":3379,"pare":3380,"Ġthought":3381,"_con":3382,"Ġtask":3383,"ocus":3384,"ĠDE":3385,"ĠMin":3386,"Ġopt":3387,"ĉbreak":3388,"umer":3389,"KE":3390,"then":3391,"Ġdet":3392,"ĠTest":3393,"ports":3394,"Ġreview":3395,"('/":3396,"move":3397,"Ġswitch":3398,"ERT":3399,"patch":3400,"annot":3401,"ãĤ":3402,"Ġabove":3403,"itive":3404,"Ġquestion":3405,"ĠQu":3406,"ãĢĤĊĊ":3407,"gle":3408,"Ġword":3409,"Ġprovide":3410,"ĠReturn":3411,"Ġresearch":3412,"ão":3413,"ustr":3414,"Ġpublish":3415,"chema":3416,"}}":3417,"ĠCON":3418,"-in":3419,"allback":3420,"Ġcover":3421,"\\\\":3422,"color":3423,"ĠIS":3424,"Ġwhether":3425,"imate":3426,"isc":3427,"Bar":3428,"Ġdiv":3429,"Be":3430,"ourn":3431,"Ġhaving":3432,"lem":3433,"player":3434,"abs":3435,"amera":3436,"ney":3437,"Ġexc":3438,"gether":3439,"plied":3440,"ao":3441,"[$":3442,"Ġ++":3443,"ipe":3444,"show":3445,"/d":3446,"[:":3447,"agement":3448,"lev":3449,"_ID":3450,"rary":3451,"ades":3452,"_se":3453,"ause":3454,"Ġemploy":3455,"Ġ*/čĊ":3456,"Ġfre":3457,"Ġ'@":3458,"Ġcomplet":3459,"Ġlarge":3460,"ral":3461,"\\x":3462,"Ġfac":3463,">":3578,"Ġface":3579,"CTION":3580,"Ġsave":3581,"Ġtyp":3582,"dev":3583,"(\"#":3584,"AGE":3585,"container":3586,"edit":3587,"QL":3588,"Ġitems":3589,"Ġsocial":3590,"ien":3591,"ĠReact":3592,").ĊĊ":3593,"Ġmar":3594,"Ġredu":3595,"ĠRE":3596,".put":3597,"Ġmajor":3598,"Cell":3599,"next":3600,"Ġexpected":3601,"Ġyet":3602,"Ġindiv":3603,"tributes":3604,"atis":3605,"amed":3606,"Ġfood":3607,"Source":3608,"(string":3609,"Ġ+Ċ":3610,"ites":3611,"dr":3612,"Ġmembers":3613,"Ġcomb":3614,"items":3615,"ĠPer":3616,"TH":3617,"=True":3618,"Ġbar":3619,"_SE":3620,"comm":3621,"(w":3622,")ĊĊĊ":3623,"Ġsend":3624,"Ġinc":3625,"unsigned":3626,"FA":3627,"Ġparams":3628,"apping":3629,"ros":3630,"ugin":3631,"fa":3632,"Ġconnection":3633,"Ġ};ĊĊ":3634,"Ġbecome":3635,"Mode":3636,"Ġev":3637,"Ġdiff":3638,"ĠUnited":3639,"Height":3640,"fully":3641,"images":3642,"Ġmakes":3643,"Ġglobal":3644,"Ġcontact":3645,"':Ċ":3646,"Ġabs":3647,"аÐ":3648,"float":3649,"Ġexcept":3650,"ĠPol":3651,"Child":3652,"typ":3653,"Ġcertain":3654,"ión":3655,"OUT":3656,"Ġimpro":3657,"iles":3658,"Ġ-->Ċ":3659,"ĠPart":3660,"values":3661,"oss":3662,"/**":3663,"ilit":3664,"ĠEvent":3665,"curity":3666,"ster":3667,"Ġcharacter":3668,"Ġnews":3669,"Ġ\",":3670,"Ġdevice":3671,"cel":3672,"login":3673,"heet":3674,"Default":3675,"@\"":3676,"ĉĠ":3677,"click":3678,"(value":3679,"ĠAb":3680,"Ġprevious":3681,"ERROR":3682,"ocal":3683,"Ġmaterial":3684,"Ġbelow":3685,"ĠChrist":3686,"Ġmedia":3687,"cover":3688,"ĠUI":3689,"Ġfail":3690,"Ġblack":3691,"Ġcomponent":3692,"ĠAmerican":3693,"Ġadded":3694,"Ġbuy":3695,"stit":3696,"Ġcame":3697,"Ġdelete":3698,"property":3699,"oding":3700,"Ġcard":3701,"rops":3702,"Ġhttps":3703,"Ġroot":3704,"Ġhandle":3705,"CC":3706,"Back":3707,"emplate":3708,"Ġgetting":3709,"_by":3710,"mail":3711,"_sh":3712,".assert":3713,"ĠDec":3714,"(true":3715,"Ġcomput":3716,"Ġclaim":3717,"'=>":3718,"ĠSub":3719,"Ġair":3720,"ops":3721,"nav":3722,"ements":3723,"(id":3724,"Ġenter":3725,"anged":3726,"End":3727,"Ġlocation":3728,"Ġnight":3729,"Ġdoing":3730,"ĠRed":3731,"lin":3732,"}ĊĊĊ":3733,"vider":3734,"Ġpick":3735,"Ġwatch":3736,"essages":3737,"Ġhuman":3738,"Ġdam":3739,"pend":3740,"dir":3741,"Ġtax":3742,"Ġgirl":3743,"reet":3744,"Ġbox":3745,"Ġstrong":3746,"(v":3747,"rel":3748,"Ġinterface":3749,"Ġmsg":3750,"fect":3751,"_at":3752,"Ġhouse":3753,"Ġtrack":3754,"');ĊĊ":3755,"je":3756,"ĠJohn":3757,"istr":3758,"(S":3759,"ube":3760,"Ġce":3761,"itted":3762,"VER":3763,"*)":3764,"parent":3765,"Ġapplication":3766,"any":3767,".swing":3768,"Ġpack":3769,"\\u":3770,"Ġpract":3771,"Ġsection":3772,"ctx":3773,"Ġunsigned":3774,".Point":3775,"ĠOne":3776,"ı":3777,"iple":3778,"aid":3779,"Ñĥ":3780,"Vector":3781,"byte":3782,"Ġwait":3783,"ĠÃł":3784,"Ã¥":3785,"Ġtogether":3786,"Ġthrows":3787,"FO":3788,"'))":3789,"host":3790,"ising":3791,".view":3792,"Ġterms":3793,"framework":3794,"-r":3795,"Ġapply":3796,"Ġsession":3797,"Options":3798,"uggest":3799,"Ġothers":3800,"witter":3801,"Ġfund":3802,"Init":3803,"__(":3804,"ensor":3805,"GET":3806,"Ġseveral":3807,"ii":3808,"[j":3809,"IO":3810,"Ġtemplate":3811,"Position":3812,"Ġecon":3813,"achine":3814,"Ġil":3815,".spring":3816,"main":3817,"elt":3818,"iment":3819,"Rec":3820,"mm":3821,"ĠUniversity":3822,"ursor":3823,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":3824,"GL":3825,"icture":3826,"ithub":3827,"cer":3828,"cast":3829,"From":3830,"ales":3831,"Ġsubject":3832,"password":3833,"ny":3834,"Ġesc":3835,".write":3836,"ï¼Į":3837,"What":3838,".H":3839,"Ġhistory":3840,"ĠFe":3841,"Ġindividual":3842,"unit":3843,"Ġ-->":3844,"Ġdu":3845,"IST":3846,"Ġusers":3847,"fs":3848,"false":3849,"unt":3850,"Title":3851,"Ġmot":3852,"Ġfuture":3853,"ached":3854,"Ġstarted":3855,"Ġmode":3856,"Ġ'<":3857,"_array":3858,"Ġax":3859,"'];Ċ":3860,"ires":3861,"There":3862,"ught":3863,"tml":3864,"posed":3865,"icult":3866,"Ġtook":3867,"Ġgames":3868,"Ġ}}":3869,"Ġ?>Ċ":3870,"Ġproducts":3871,"Is":3872,"Ġbad":3873,"ĠDes":3874,".path":3875,"'ĊĊ":3876,"ĠPost":3877,"avel":3878,"(:":3879,"Ġneeds":3880,"Ġknown":3881,"Fl":3882,"Ġexec":3883,"Ġseen":3884,"ume":3885,"Ġborder":3886,"Ġlive":3887,"temp":3888,"Per":3889,"Ġvariable":3890,"iet":3891,"ĠDef":3892,"Ġge":3893,"eme":3894,"_back":3895,"first":3896,"Ġprovided":3897,"////////////////////////////////":3898,"Ġfilename":3899,"Ġhope":3900,"uly":3901,"auto":3902,"find":3903,"_string":3904,"btn":3905,"itude":3906,"Attribute":3907,"Ġyoung":3908,".txt":3909,"Ġwebsite":3910,"ĠProp":3911,"Ġey":3912,">();Ċ":3913,"ional":3914,"ARR":3915,"ictionary":3916,"urther":3917,".":3997,"tx":3998,"Ġpur":3999,"uel":4000,"ymbol":4001,"uation":4002,"anger":4003,"Ġbackground":4004,"ecess":4005,"efined":4006,"........":4007,"Ġdescription":4008,"Ġrepresent":4009,"\"));Ċ":4010,"pression":4011,"rowser":4012,"Ġseries":4013,"wards":4014,"($_":4015,"aise":4016,"Ġhot":4017,"acity":4018,"ries":4019,"actions":4020,"Create":4021,"adio":4022,"amples":4023,"Ġoriginal":4024,"ensive":4025,"font":4026,"stream":4027,"using":4028,".springframework":4029,"server":4030,"Ġbill":4031,"ACK":4032,"ilename":4033,"Ġframe":4034,"Ġ=Ċ":4035,"Edit":4036,"adius":4037,"Ġdraw":4038,"anks":4039,"Ġdeter":4040,"Ġcomes":4041,"_int":4042,"Ġforeach":4043,"angle":4044,"Ġelect":4045,"pected":4046,"Header":4047,"istration":4048,"False":4049,"ĠGame":4050,"Ġfilter":4051,"Activity":4052,"Ġlarg":4053,"inition":4054,"Ġ\"<":4055,"ised":4056,"Ġremove":4057,"ĠTrans":4058,"met":4059,"see":4060,"Format":4061,"Command":4062,"ĠEX":4063,"None":4064,"Ġfront":4065,"ASE":4066,"ĠRec":4067,"oundation":4068,"Ġvo":4069,"=\\\"":4070,"(*":4071,"Change":4072,".Write":4073,"group":4074,"ients":4075,"uy":4076,"****************************************************************":4077,"Ġdig":4078,"hr":4079,"(-":4080,"Ġgen":4081,"number":4082,"vec":4083,"urope":4084,"entry":4085,"LL":4086,"Ġste":4087,"Valid":4088,"'],":4089,"_param":4090,"Ġselected":4091,"Ġaccording":4092,"ĠDis":4093,"Ġutil":4094,"Buffer":4095,"_error":4096,"Ġassoci":4097,"_SIZE":4098,"Ġwor":4099,"Ġprintf":4100,"rag":4101,"Âł":4102,"DD":4103,"ĠVal":4104,"Ġactiv":4105,"Eng":4106,"etime":4107,"Ġvirtual":4108,"aign":4109,"aur":4110,"ĠPres":4111,"ĠException":4112,"Ġanything":4113,"ĠOff":4114,"Ġhours":4115,"Ġwar":4116,"Args":4117,"aging":4118,"Ġmodels":4119,"ĠTime":4120,"Ob":4121,"ams":4122,"joy":4123,"Ġearly":4124,".read":4125,"Ġcenter":4126,"ĠInitial":4127,"Ġlanguage":4128,"length":4129,"xy":4130,"Ġsn":4131,"Ġinf":4132,"Post":4133,"Ġago":4134,"Ġeasy":4135,"_code":4136,"ĠANY":4137,"_ch":4138,"Ġdownload":4139,"(T":4140,"aved":4141,"âĢĵ":4142,"Ġstudents":4143,"Ġfig":4144,"light":4145,"xx":4146,"Ġbuffer":4147,"ĠDep":4148,"ĠMath":4149,"ITH":4150,"Ġvari":4151,"Ġdue":4152,"Factory":4153,"Ġpor":4154,"Ġep":4155,"otype":4156,"Ġcannot":4157,"Ġwhite":4158,"čĊ":4424,".annot":4425,"Ġcollection":4426,"'.":4427,"Ġsimilar":4428,"Ġtaken":4429,"(\"%":4430,"Order":4431,"']Ċ":4432,"-md":4433,"ĠTH":4434,"aced":4435,"Ġisn":4436,"/j":4437,"Ġson":4438,"graph":4439,"ĠInteger":4440,"Ġnecess":4441,"reen":4442,"Ġum":4443,"Ġ\\<":4444,"Ġmoment":4445,"Ġbring":4446,"Ġindic":4447,"ysis":4448,"Level":4449,"verse":4450,"urrenc":4451,"_test":4452,"Ġentire":4453,"Down":4454,"Ġ}ĊĊĊ":4455,"(result":4456,"ĠRead":4457,"è":4458,"Mod":4459,"Ġtrying":4460,"\"),Ċ":4461,"Ġmember":4462,"ĠCor":4463,"ODO":4464,"-control":4465,"untime":4466,"ĠSim":4467,"Dialog":4468,"plot":4469,"_on":4470,"Ġphys":4471,"}/":4472,"Ġnamespace":4473,"ĉčĊ":4474,"acc":4475,"Player":4476,"ARE":4477,"Ġfoot":4478,"Ġboard":4479,"part":4480,"Ġsus":4481,"wise":4482,"ĠMc":4483,"Ġpush":4484,"ATA":4485,"Ġplease":4486,"ried":4487,"weet":4488,"bit":4489,"ided":4490,"VE":4491,"ĠSw":4492,"UB":4493,"Ġtypes":4494,"edia":4495,"Ġclos":4496,"acebook":4497,"When":4498,"Ġedit":4499,"igger":4500,"Ġenerg":4501,"Container":4502,"Ġphot":4503,"ĠCount":4504,"ĠEurope":4505,".Is":4506,"ĠRuss":4507,"peed":4508,"ĠStr":4509,"Ġpy":4510,"Ġcult":4511,"Ġdefined":4512,"ccount":4513,"Ġobt":4514,".Location":4515,"Ġthread":4516,"ille":4517,"Ġinstead":4518,"strong":4519,"ĠSec":4520,"URE":4521,"Ġidea":4522,".se":4523,"emy":4524,"selected":4525,"Connection":4526,"acing":4527,"thread":4528,".next":4529,"Ġcoll":4530,"Ġfilm":4531,"istic":4532,"Ġcompet":4533,"Ġconn":4534,"though":4535,"Ġcompan":4536,"ocket":4537,"Ġteach":4538,"=(":4539,"Ġphone":4540,"Ġactive":4541,"delete":4542,"tries":4543,"Ġmo":4544,"Ġdeath":4545,"});ĊĊ":4546,"ocol":4547,"Widget":4548,"Ġarticle":4549,"rodu":4550,"andid":4551,"Ñĭ":4552,"ĠCr":4553,"ka":4554,"():":4555,"lood":4556,"ĉĉĉĊ":4557,"Ġalmost":4558,"Ġsell":4559,"ervlet":4560,"rip":4561,"Unit":4562,"Ġapplic":4563,"Ġconnect":4564,"Ġfeature":4565,"Ġvia":4566,"'),":4567,"Ġlim":4568,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":4569,"ĠGu":4570,"Engine":4571,"Ġens":4572,"Ġenvironment":4573,"block":4574,"HERE":4575,"NULL":4576,"gy":4577,"tag":4578,")).":4579,"exp":4580,"Ġcompl":4581,"Ġinstall":4582,"Ġcomplete":4583,"queue":4584,"atural":4585,"Ġgeneral":4586,"thon":4587,"Ġasked":4588,"ores":4589,"(res":4590,"Ġreserved":4591,"SP":4592,"ĠâĢ¦":4593,"ÅĤ":4594,"Ġsignific":4595,"Off":4596,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":4597,"ĠAg":4598,"ĠJust":4599,"ĠError":4600,"Ġinfl":4601,"adata":4602,"Ġicon":4603,"asks":4604,"''":4605,"_LO":4606,"?.":4607,"account":4608,"Ġ(*":4609,"')ĊĊ":4610,"rap":4611,"_var":4612,"ĠFOR":4613,"Ġparty":4614,"ĠYour":4615,"cat":4616,"stry":4617,".new":4618,"boot":4619,"ĠNov":4620,"Ġvector":4621,"Ġnormal":4622,"Ġfurther":4623,"Repository":4624,"Ġdatabase":4625,"attle":4626,"Ġmusic":4627,"Ġspeed":4628,"Ġdoc":4629,"process":4630,"IGHT":4631,".parse":4632,"Ġtaking":4633,"Ġviol":4634,"ceed":4635,"ĠAfter":4636,"Ġforward":4637,"Ġcrit":4638,"\"/>Ċ":4639,"rot":4640,"Ġfailed":4641,"efore":4642,"Ġconcern":4643,"oe":4644,"ba":4645,"Ġsender":4646,"Ġterm":4647,"has":4648,"=\"#":4649,"Ġpotential":4650,"Num":4651,"Ġpublished":4652,".close":4653,"ĠImage":4654,"straint":4655,"UD":4656,"ĠOb":4657,"Ġprobably":4658,"lim":4659,"\":Ċ":4660,"olume":4661,"Ġconsum":4662,"ague":4663,"ensions":4664,"Ġinvestig":4665,"-year":4666,"');":4667,"-sm":4668,"Ġenjoy":4669,"orig":4670,"ering":4671,"cp":4672,"leased":4673,"plements":4674,"Ġreturns":4675,"pat":4676,"BO":4677,"ĠHouse":4678,".Label":4679,"Ġweight":4680,"ighb":4681,"Ġconditions":4682,"Ġexception":4683,"description":4684,"Ġtrad":4685,"-to":4686,"Ġ{}":4687,"Ġmodule":4688,"END":4689,".ap":4690,".props":4691,"Ġconstructor":4692,"aves":4693,"Ġfavor":4694,"ĠNow":4695,";i":4696,"ĠMain":4697,"_k":4698,"eries":4699,"âĢĻll":4700,"transform":4701,"imestamp":4702,"Pre":4703,"Ġmer":4704,".res":4705,"stant":4706,"Location":4707,"_NAME":4708,"Ġloss":4709,"ĠĊĊ":4710,"net":4711,"Ġengine":4712,"Block":4713,"Ġissues":4714,"Ġparse":4715,"ĠBar":4716,"Ġstay":4717,"ĠJSON":4718,"Ġdom":4719,"airs":4720,"wner":4721,"Ġlower":4722,"\",čĊ":4723,"ĠDem":4724,"ufact":4725,"Ġps":4726,"Ġperfect":4727,"RL":4728,"Ġeduc":4729,"ls":4730,"emory":4731,"ARRANT":4732,"uge":4733,"Ġexact":4734,".key":4735,"alled":4736,"ech":4737,"ief":4738,"\\/":4739,"oke":4740,"Ġformer":4741,"alloc":4742,"Ġsix":4743,"ida":4744,"Ġmargin":4745,"Ġheart":4746,"ald":4747,"pack":4748,".getElementById":4749,"ĠWARRANT":4750,"Ġrather":4751,"Ġbuilding":4752,"erman":4753,"lice":4754,"Ġquestions":4755,"izes":4756,"lege":4757,"irectory":4758,"Ġje":4759,"Ġcas":4760,"props":4761,"utf":4762,"Ġsecurity":4763,"Ġhowever":4764,"weight":4765,"Ġinside":4766,"Ġpresident":4767,"Char":4768,"ĠWITH":4769,".map":4770,"Ġgraph":4771,"Ġtag":4772,"_status":4773,"Ġattempt":4774,"opp":4775,"uses":4776,"ĉconst":4777,"Ġround":4778,",$":4779,"Ġfriends":4780,"Email":4781,"?>":4782,"Resource":4783,"KEY":4784,"osp":4785,".query":4786,"ĠNorth":4787,"ables":4788,"istrib":4789,"_class":4790,"ello":4791,"That":4792,"к":4793,"pecially":4794,"ĠPresident":4795,"Ġcampaign":4796,"Ġalt":4797,"area":4798,"Ġchall":4799,"Ġopport":4800,".Con":4801,"Ġenergy":4802,"like":4803,".string":4804,"ington":4805,")*":4806,"yy":4807,"Ġprofession":4808,"irth":4809,"Ġseg":4810,"æľ":4811,"Ġhor":4812,"iers":4813,"can":4814,"Ġbehind":4815,"Product":4816,"fg":4817,"ĠSk":4818,".jpg":4819,"?:":4820,"];ĊĊ":4821,"Ġcallback":4822,"ĠHttp":4823,"ÑĮ":4824,"long":4825,"MS":4826,"ATH":4827,"Ġraise":4828,"Ġwanted":4829,"rown":4830,"utor":4831,"lt":4832,"]=":4833,"eline":4834,"MA":4835,"Ġsepar":4836,"cs":4837,"semb":4838,"Dis":4839,"bserv":4840,"ĠWill":4841,"Ġpolicy":4842,"Ġthird":4843,"phone":4844,"Ġbed":4845,"/g":4846,".__":4847,"ĠInc":4848,"izing":4849,".remove":4850,"instance":4851,".type":4852,"Ġserv":4853,"Each":4854,"Ġhar":4855,"ĠMessage":4856,"(key":4857,"SELECT":4858,"Pos":4859,"));čĊ":4860,"Ġrecomm":4861,"Ġtraining":4862,"ĠEnt":4863,"ĠChar":4864,"icht":4865,"(file":4866,"Ġprior":4867,"Game":4868,"Ġexit":4869,"Params":4870,".core":4871,"PC":4872,"nes":4873,"anced":4874,"(request":4875,"Password":4876,"}>Ċ":4877,"Ġmag":4878,"Ġrelease":4879,"Ġshall":4880,"udent":4881,"ĠSouth":4882,"ando":4883,":'":4884,".TabIndex":4885,"sk":4886,"anner":4887,"isset":4888,"Ġoutside":4889,"ledge":4890,"Ġå":4891,"ĠRob":4892,"Ġimm":4893,"!Ċ":4894,"ĠWeb":4895,"Des":4896,"BC":4897,"ancial":4898,"Route":4899,"Dec":4900,"ferences":4901,"Ġpurch":4902,"ĠModel":4903,"ctor":4904,"gn":4905,"_start":4906,"_un":4907,".*":4908,"ises":4909,"Ġground":4910,"Ġunique":4911,"Ġbeaut":4912,"{\"":4913,"Ġpour":4914,"ĠOct":4915,"Ġtree":4916,"sets":4917,"_res":4918,"')->":4919,"_reg":4920,"(\"\\":4921,"Ġbyte":4922,"Bl":4923,"Ġdating":4924,"Ġmatter":4925,"ĠRem":4926,"Ġ'../":4927,"ĠAug":4928,"ĠLa":4929,"Ġ$(":4930,"ournal":4931,"iam":4932,"Ġshows":4933,"write":4934,"Ġball":4935,"Ġsimply":4936,"Ġfast":4937,"Ġmemory":4938,"ASS":4939,"ĠOf":4940,"oved":4941,"ante":4942,"aul":4943,"istry":4944,")));Ċ":4945,"Ġfit":4946,"_":5129,"\")ĊĊ":5130,"ox":5131,"application":5132,"Ġ]Ċ":5133,"ĊĊĊĊĊĊ":5134,"Ġsoon":5135,"ctions":5136,"inger":5137,"Ġjoin":5138,"ĠPe":5139,"Ġë":5140,"Ġlas":5141,".E":5142,"css":5143,"/or":5144,"ĠStart":5145,"ĠTO":5146,"Ġsubs":5147,"conn":5148,"components":5149,"DEBUG":5150,"quare":5151,"Function":5152,"endar":5153,".index":5154,"Ġfill":5155,"ÄĻ":5156,"Ġchoose":5157,"how":5158,"ĠAmerica":5159,"assets":5160,"------------":5161,"ĠValue":5162,"Ġoffice":5163,"Ġveh":5164,"Ġtransform":5165,"ĠArt":5166,"Ġinde":5167,"Ġfn":5168,"Ġimplements":5169,"ango":5170,"plete":5171,"+\"":5172,"tmp":5173,"amily":5174,"Ġhash":5175,"missions":5176,"EST":5177,"gt":5178,"Provider":5179,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":5180,"Ġflag":5181,"Ġparticip":5182,"den":5183,"ĠReturns":5184,"Ġnote":5185,"ür":5186,"pm":5187,"ideos":5188,"Ġspecified":5189,"ĠEN":5190,"ester":5191,"olid":5192,"Ġupon":5193,"(std":5194,"ĉv":5195,"Ġ'\\":5196,"uz":5197,"Ġvert":5198,"Ġvict":5199,"ĉself":5200,"Ġ\"$":5201,".k":5202,"Ġgroups":5203,"github":5204,"lang":5205,"Ġmut":5206,"TO":5207,"Ġve":5208,"ĠPlease":5209,";ĊĊĊ":5210,"access":5211,"Ġ{\"":5212,"rea":5213,"Ġrisk":5214,"icker":5215,"oggle":5216,"ĉwhile":5217,"ANG":5218,".send":5219,"Ġwoman":5220,"Ġgets":5221,"Ġign":5222,"ĠId":5223,"_log":5224,"ONE":5225,"Ġevid":5226,"ĠHar":5227,"_sub":5228,"Ġendl":5229,"Ġincluded":5230,"());ĊĊ":5231,"ĠAp":5232,"igr":5233,"Ġsem":5234,"ĠBlack":5235,"doc":5236,"_table":5237,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":5238,"-up":5239,"Ġcause":5240,"Ġ..":5241,"Ġvan":5242,"_dict":5243,"Ġfocus":5244,"IND":5245,"CESS":5246,".Log":5247,"Ġmultiple":5248,"ido":5249,"Ġregard":5250,"-M":5251,"andler":5252,"ourse":5253,"Ġdeg":5254,".U":5255,"Ġaddition":5256,"Ġvarious":5257,"Ġreceive":5258,"ен":5259,"ĠHT":5260,"Obj":5261,"DF":5262,"Ġincrease":5263,"ĠOpen":5264,"];":5265,"Ġcommit":5266,"?Ċ":5267,"ategories":5268,"atory":5269,"ship":5270,"ĠMich":5271,"Ġhtml":5272,"romise":5273,"Ġleave":5274,"Ġstrateg":5275,"aven":5276,"ĠConsole":5277,"known":5278,"-n":5279,"_LE":5280,".component":5281,"Ġbre":5282,"Session":5283,"iance":5284,"Ġalign":5285,"typedef":5286,"_result":5287,"ĠWHERE":5288,".split":5289,"Ġreading":5290,"FAULT":5291,"Ġclo":5292,"Ġnotice":5293,"_pr":5294,"arter":5295,"Ġlock":5296,"Ġstandard":5297,"etic":5298,"ellow":5299,"Ġpadding":5300,"ĠHis":5301,"Ġstates":5302,"_cast":5303,"(P":5304,"aa":5305,"Ġinternal":5306,"ean":5307,"ĠPRO":5308,"ĠKey":5309,"Ġespecially":5310,"ming":5311,"Ġcross":5312,"Ġnational":5313,"_object":5314,"filter":5315,"Ġscript":5316,".update":5317,"_i":5318,"ĠAssert":5319,"/core":5320,"%%%%":5321,"Ġproblems":5322,"istor":5323,"Ġ.=":5324,"Ġarch":5325,"Ġwritten":5326,"Ġmilit":5327,"MENT":5328,".ch":5329,"cape":5330,"ĠMus":5331,"_config":5332,"ĠAPI":5333,"foot":5334,"Ġimages":5335,"endl":5336,".In":5337,"First":5338,"Ġplatform":5339,".prot":5340,"Option":5341,"ste":5342,"ĠTODO":5343,"Ġforce":5344,".cont":5345,"ĉecho":5346,"ĠDav":5347,"Ptr":5348,"(B":5349,"RT":5350,"ĠBase":5351,"]['":5352,"Ġannounc":5353,"console":5354,"ĠPy":5355,"ds":5356,".as":5357,"Ġprevent":5358,"apan":5359,"Ġ{'":5360,"}'":5592,"Ġdead":5593,"VAL":5594,"QUE":5595,"************************************************************************":5596,"Ġcharg":5597,"Return":5598,"Ġful":5599,"dom":5600,"Ġrules":5601,"Ġmodify":5602,"Ġeval":5603,"ham":5604,"atement":5605,"\\<":5606,"ula":5607,"=False":5608,"RA":5609,"Ġcontains":5610,"Ġstack":5611,"mar":5612,"Ġ{}Ċ":5613,"Ġundefined":5614,"Ass":5615,"ĠChina":5616,"vey":5617,"*Ċ":5618,"Ġplaying":5619,")/":5620,"actor":5621,"Ġbottom":5622,"lier":5623,"ĠNumber":5624,"Ġcouple":5625,"DC":5626,"ĠSO":5627,"gor":5628,".setText":5629,"success":5630,"command":5631,"Filter":5632,"ĠOur":5633,"_item":5634,"Ġctx":5635,"Ġroad":5636,"Version":5637,"case":5638,"urt":5639,"avior":5640,"ych":5641,"sembly":5642,"ĠProduct":5643,"Ġheld":5644,"afe":5645,"Ġincludes":5646,"&":5789,"CON":5790,"Ġrepl":5791,"Ġregular":5792,"Storage":5793,"ramework":5794,"Ġgoal":5795,"Ġtouch":5796,".widget":5797,"Ġbuilt":5798,"des":5799,"Part":5800,"(re":5801,"Ġworth":5802,"hib":5803,"game":5804,"Ġв":5805,"acion":5806,"ĠWhite":5807,"(type":5808,"(`":5809,"Ġnatural":5810,"Ġinj":5811,"Ġcalcul":5812,"ĠApril":5813,".List":5814,"Ġassociated":5815,"ĉSystem":5816,"~~":5817,"=[":5818,"Ġstorage":5819,"Ġbytes":5820,"Ġtravel":5821,"Ġsou":5822,"Ġpassed":5823,"!=":5824,"ascript":5825,".open":5826,"Ġgrid":5827,"Ġbus":5828,"Ġrecogn":5829,"Ab":5830,"Ġhon":5831,"ĠCenter":5832,"Ġprec":5833,"build":5834,"HTML":5835,"ĠSan":5836,"Ġcountries":5837,"aled":5838,"token":5839,"kt":5840,"Ġqual":5841,"Last":5842,"adow":5843,"Ġmanufact":5844,"idad":5845,"jango":5846,"Next":5847,"xf":5848,".a":5849,"Ġporno":5850,"ĠPM":5851,"erve":5852,"iting":5853,"_th":5854,"ci":5855,"=None":5856,"gs":5857,"Ġlogin":5858,"atives":5859,"']);Ċ":5860,"Äħ":5861,"Ġill":5862,"IA":5863,"children":5864,"DO":5865,"Ġlevels":5866,"Ġ{{":5867,"Ġlooks":5868,"Ġ\"#":5869,"ToString":5870,"Ġnecessary":5871,"ĠĠĠĊ":5872,"cell":5873,"Entry":5874,"Ġ'#":5875,"Ġextrem":5876,"Selector":5877,"Ġplaceholder":5878,"Load":5879,"Ġreleased":5880,"ORE":5881,"Enumer":5882,"ĠTV":5883,"SET":5884,"inq":5885,"Press":5886,"ĠDepartment":5887,"Ġproperties":5888,"Ġrespond":5889,"Search":5890,"ael":5891,"Ġrequ":5892,"ĠBook":5893,"/Ċ":5894,"(st":5895,"Ġfinancial":5896,"icket":5897,"_input":5898,"Ġthreat":5899,"(in":5900,"Strip":5901,"ìĿ":5902,"ção":5903,"Ġevidence":5904,"));":5905,"ĠBro":5906,"Ġ[];Ċ":5907,"Ġou":5908,"buf":5909,"Script":5910,"dat":5911,"Ġrule":5912,"#import":5913,"=\"/":5914,"Serial":5915,"Ġstarting":5916,"[index":5917,"ae":5918,"Ġcontrib":5919,"session":5920,"_new":5921,"utable":5922,"ober":5923,"Ġ\"./":5924,"Ġlogger":5925,"Ġrecently":5926,"Ġreturned":5927,"ččĊ":5928,")))Ċ":5929,"itions":5930,"Ġseek":5931,"Ġcommunic":5932,"Ġ\".":5933,"Ġusername":5934,"ECT":5935,"DS":5936,"Ġotherwise":5937,"ĠGerman":5938,".aw":5939,"Adapter":5940,"ixel":5941,"Ġsystems":5942,"Ġdrop":5943,"Ġstructure":5944,"Ġ$(\"#":5945,"encies":5946,"anning":5947,"ĠLink":5948,"ĠResponse":5949,"Ġstri":5950,"ż":5951,"ĠDB":5952,"æĹ":5953,"android":5954,"submit":5955,"otion":5956,"(@":5957,".test":5958,"ĊĊĊĊĊĊĊĊ":5959,"];čĊ":5960,"Ġdirectly":5961,"Ġ\"%":5962,"ris":5963,"elta":5964,"AIL":5965,"){čĊ":5966,"mine":5967,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":5968,"(k":5969,"bon":5970,"asic":5971,"pite":5972,"___":5973,"Max":5974,"Ġerrors":5975,"ĠWhile":5976,"Ġarguments":5977,"Ġensure":5978,"Right":5979,"-based":5980,"Web":5981,"Ġ-=":5982,"Ġintrodu":5983,"ĠInst":5984,"ĠWash":5985,"ordin":5986,"join":5987,"Database":5988,"Ġgrad":5989,"Ġusually":5990,"ITE":5991,"Props":5992,"?>Ċ":5993,"ĠGo":5994,"@Override":5995,"REF":5996,"Ġip":5997,"ĠAustral":5998,"Ġist":5999,"ViewById":6000,"Ġserious":6001,"Ġcustomer":6002,".prototype":6003,"odo":6004,"cor":6005,"Ġdoor":6006,"ĠWITHOUT":6007,"Ġplant":6008,"Ġbegan":6009,"Ġdistance":6010,"()).":6011,"Ġchance":6012,"Ġord":6013,"came":6014,"pragma":6015,"Ġprotect":6016,"ragment":6017,"ĠNode":6018,"ening":6019,"Ñĩ":6020,"Ġroute":6021,"ĠSchool":6022,"hi":6023,"Ġneighb":6024,"After":6025,"licit":6026,"Ġcontr":6027,"Ġprimary":6028,"AA":6029,".WriteLine":6030,"utils":6031,"Ġbi":6032,"Red":6033,".Linq":6034,".object":6035,"Ġleaders":6036,"unities":6037,"Ġgun":6038,"onth":6039,"ĠDev":6040,"FILE":6041,"Ġcomments":6042,"_len":6043,"arrow":6044,"amount":6045,"Range":6046,"sert":6047,"GridView":6048,"Ġupdated":6049,"ĠMo":6050,"Ġinform":6051,"ociety":6052,"ala":6053,"Access":6054,"Ġhab":6055,"Ġcreat":6056,"_arg":6057,"ĠJanuary":6058,"ĠDay":6059,"\")čĊ":6060,"uple":6061,"document":6062,"gorith":6063,"menu":6064,"ĠOver":6065,"bb":6066,".title":6067,"_out":6068,"Ġled":6069,"uri":6070,"Ġ?>Ċ":6107,"run":6108,"Ġscene":6109,"(array":6110,"device":6111,"_title":6112,"agon":6113,"]čĊ":6114,"aby":6115,"Ġbecame":6116,"boolean":6117,"Ġpark":6118,"ĠCode":6119,"upload":6120,"riday":6121,"ĠSeptember":6122,"Fe":6123,"Ġsen":6124,"cing":6125,"FL":6126,"Col":6127,"uts":6128,"_page":6129,"inn":6130,"Ġimplied":6131,"aling":6132,"Ġyourself":6133,".Count":6134,"conf":6135,"Ġaud":6136,"_init":6137,".)":6138,"Ġwrote":6139,"NG":6140,".Error":6141,"ä»":6142,".for":6143,"Ġequal":6144,"ĠRequest":6145,"Ġserial":6146,"Ġallows":6147,"XX":6148,"Ġmiddle":6149,"chor":6150,"ø":6151,"erval":6152,".Column":6153,"reading":6154,"Ġescort":6155,"ĠAugust":6156,"Ġquickly":6157,"Ġweap":6158,"ĠCG":6159,"ropri":6160,"ho":6161,"Ġcop":6162,"(struct":6163,"ĠBig":6164,"Ġvs":6165,"Ġfrequ":6166,".Value":6167,"Ġactions":6168,"Ġproper":6169,"Ġinn":6170,"Ġobjects":6171,"Ġmatrix":6172,"avascript":6173,"Ġones":6174,".group":6175,"Ġgreen":6176,"Ġpaint":6177,"ools":6178,"ycl":6179,"encode":6180,"olt":6181,"comment":6182,".api":6183,"Dir":6184,"Ġune":6185,"izont":6186,".position":6187,"Ġdesigned":6188,"_val":6189,"avi":6190,"iring":6191,"tab":6192,"Ġlayer":6193,"Ġviews":6194,"Ġreve":6195,"rael":6196,"ĠON":6197,"rics":6198,"np":6199,"Ġcore":6200,"());čĊ":6201,"Main":6202,"Ġexpert":6203,"ĉĉčĊ":6204,"_en":6205,"Ġ/>":6206,"utter":6207,"IAL":6208,"ails":6209,"ĠKing":6210,"*/ĊĊ":6211,"ĠMet":6212,"_end":6213,"addr":6214,"ora":6215,"Ġir":6216,"Min":6217,"Ġsurpr":6218,"Ġrepe":6219,"Ġdirectory":6220,"PUT":6221,"-S":6222,"Ġelection":6223,"haps":6224,".pre":6225,"cm":6226,"Values":6227,"Ġ\"Ċ":6228,"column":6229,"ivil":6230,"Login":6231,"inue":6232,"Ġbeautiful":6233,"Ġsecret":6234,"(event":6235,"Ġchat":6236,"ums":6237,"Ġorigin":6238,"Ġeffects":6239,"Ġmanagement":6240,"illa":6241,"tk":6242,"Ġsetting":6243,"ĠCour":6244,"Ġmassage":6245,"ĉend":6246,"Ġhappy":6247,"Ġfinish":6248,"Ġcamera":6249,"ĠVer":6250,"ĠDemocr":6251,"ĠHer":6252,"(Q":6253,"cons":6254,"ita":6255,"Ġ'.":6256,"{}":6257,"ĉC":6258,"Ġstuff":6259,"Ġ:Ċ":6260,"ĠAR":6261,"Task":6262,"hidden":6263,"eros":6264,"IGN":6265,"atio":6266,"ĠHealth":6267,"olute":6268,"Enter":6269,"'>":6270,"ĠTwitter":6271,"ĠCounty":6272,"scribe":6273,"Ġ=>Ċ":6274,"Ġhy":6275,"fit":6276,"Ġmilitary":6277,"Ġsale":6278,"required":6279,"non":6280,"bootstrap":6281,"hold":6282,"rim":6283,"-old":6284,"ĠDown":6285,"Ġmention":6286,"contact":6287,"_group":6288,"oday":6289,"Ġtown":6290,"Ġsolution":6291,"uate":6292,"elling":6293,"]->":6294,"otes":6295,"ental":6296,"omen":6297,"ospital":6298,"ĠSup":6299,"_EN":6300,"Ġslow":6301,"SESSION":6302,"Ġblue":6303,"ago":6304,"Ġlives":6305,"Ġ^":6306,".un":6307,"inst":6308,"enge":6309,"Ġcustomers":6310,"Ġcast":6311,"udget":6312,"ï¼ģ":6313,"icens":6314,"Ġdetermin":6315,"Selected":6316,"_pl":6317,"ueue":6318,"Ġdark":6319,"//ĊĊ":6320,"si":6321,"thern":6322,"ĠJapan":6323,"/w":6324,"PU":6325,"ĠEast":6326,"ovie":6327,"Ġpackage":6328,"Ġnor":6329,"Ġapi":6330,"bot":6331,"\"];Ċ":6332,"_post":6333,"ulate":6334,"Ġclub":6335,"'));Ċ":6336,"Ġloop":6337,"PIO":6338,"ione":6339,"shot":6340,"Initial":6341,"Ġplayed":6342,"register":6343,"rought":6344,"_max":6345,"acement":6346,"match":6347,"raphics":6348,"AST":6349,"Ġexisting":6350,"Ġcomplex":6351,"DA":6352,".Ch":6353,".common":6354,"mo":6355,"Ġ'../../":6356,"ito":6357,"Ġanalysis":6358,"Ġdeliver":6359,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":6360,"idx":6361,"Ãł":6362,"ongo":6363,"ĠEnglish":6364,"Ċ":9992,"_default":9993,"ĠDatabase":9994,"rep":9995,"ESS":9996,"nergy":9997,".Find":9998,"_mask":9999,"Ġrise":10000,"Ġkernel":10001,"::$":10002,".Q":10003,"Ġoffering":10004,"decl":10005,"ĠCS":10006,"Ġlisted":10007,"Ġmostly":10008,"enger":10009,"Ġblocks":10010,"olo":10011,"Ġgoverning":10012,"\\F":10013,"Ġconcent":10014,".getText":10015,"Ġmb":10016,"Ġoccurred":10017,"Ġchanging":10018,"Scene":10019,"_CODE":10020,"Beh":10021,"\"The":10022,"Ġtile":10023,"ĠAssociation":10024,"ĉP":10025,"alty":10026,"_ad":10027,"odies":10028,"iated":10029,"Ġprepared":10030,"possible":10031,"Ġmort":10032,"TEST":10033,"Ġignore":10034,"Ġcalc":10035,"Ġrs":10036,"ĠassertEquals":10037,"Ġsz":10038,"ĠTHIS":10039,".\"Ċ":10040,"Ġcanvas":10041,"java":10042,"Ġdut":10043,"VALID":10044,".sql":10045,".input":10046,"Ġaux":10047,"Sup":10048,"Ġartist":10049,"Vec":10050,"_TIME":10051,".stringify":10052,"etween":10053,"ĠCategory":10054,"Ġ[-":10055,"ĠDevExpress":10056,"ĠJul":10057,"Ġring":10058,".ed":10059,"YY":10060,"Let":10061,"TextField":10062,"Ġflat":10063,"_print":10064,"ĠOTHER":10065,"adian":10066,"Ġchecked":10067,"ele":10068,"Align":10069,"standing":10070,"Ġ[],":10071,"Ġlab":10072,"ucky":10073,"ĠChristmas":10074,"(image":10075,".module":10076,"Ġlots":10077,"Ġslightly":10078,"(final":10079,"erge":10080,"è¿":10081,"ĠPolice":10082,"ĠRight":10083,"Ġaward":10084,"ĠOS":10085,"Ġ{}ĊĊ":10086,"Ġptr":10087,"oves":10088,"icated":10089,"ем":10090,"Ġmanage":10091,"oliday":10092,"Amount":10093,"oolStrip":10094,"tbody":10095,"Nav":10096,"wrap":10097,"BB":10098,"Ġwatching":10099,"arios":10100,"Ġoptional":10101,"_K":10102,"ĠLicensed":10103,".Map":10104,"Timer":10105,"ĠAP":10106,"ĠRev":10107,"(o":10108,",c":10109,"umin":10110,"etailed":10111,"ĠHy":10112,"Ġblank":10113,"agger":10114,"ĠSelf":10115,"()[":10116,".make":10117,"earn":10118,"channel":10119,";Ċ":10133,"World":10134,"Ġpython":10135,"Ġlif":10136,"Ġtrav":10137,"Ġconven":10138,"company":10139,"ĠClub":10140,"Ver":10141,"Btn":10142,"Ġzone":10143,"products":10144,"ĠEduc":10145,"Ġverify":10146,"ĠMil":10147,"ono":10148,"]);ĊĊ":10149,"ENCE":10150,"Ġpacket":10151,"Ġcer":10152,"Ġenumer":10153,"Ġpars":10154,"formed":10155,"Ġoccup":10156,"tre":10157,"Ġexercise":10158,"Day":10159,"_sum":10160,"Ġasking":10161,"aption":10162,"Ġorders":10163,"Ġspending":10164,"ĠERR":10165,".Dis":10166,"ĠUtil":10167,"âĢľI":10168,"\\'":10169,"?)":10170,"/>Ċ":10171,"Ġemot":10172,"Ġinfluence":10173,"ĠAfrica":10174,"atters":10175,"Ùħ":10176,".session":10177,"Ġchief":10178,"ĉĉĉĉĉĉĉĉĉĉĉ":10179,"Ġtom":10180,"cluded":10181,"serial":10182,"_handler":10183,".Type":10184,"aped":10185,"Ġpolicies":10186,"-ex":10187,"-tr":10188,"blank":10189,"merce":10190,"Ġcoverage":10191,"Ġrc":10192,"_matrix":10193,"_box":10194,"Ġcharges":10195,"ĠBoston":10196,"Pe":10197,"Ġcircum":10198,"Ġfilled":10199,"Ġnorth":10200,"ictureBox":10201,"ĉres":10202,"è®":10203,"Ġtermin":10204,"Ġ[âĢ¦":10205,"IRECT":10206,"Ġber":10207,"Ġ\"../../":10208,"retch":10209,".code":10210,"_col":10211,"ĠGovernment":10212,"Ġargv":10213,"ĠLord":10214,"asi":10215,"Exec":10216,"ĉlet":10217,"vertis":10218,"Ġdiscussion":10219,"enance":10220,"outube":10221,"typeof":10222,"Ġserved":10223,"ĠPut":10224,"ĉx":10225,"Ġsweet":10226,"Before":10227,"ategy":10228,".of":10229,"ĠMaterial":10230,"Sort":10231,"ONT":10232,"igital":10233,"Why":10234,"Ġsust":10235,"Ġç":10236,"abet":10237,"Ġsegment":10238,"Ġ[],Ċ":10239,"ĠMuslim":10240,"ĠfindViewById":10241,"cut":10242,"_TEXT":10243,"ĠMary":10244,"Ġloved":10245,"Ġlie":10246,"ĠJO":10247,"Ġisset":10248,"month":10249,"Ġprime":10250,"ti":10251,"ĠCarol":10252,"Use":10253,"ĠPop":10254,"ĠSave":10255,"Interval":10256,"execute":10257,"dy":10258,"ĠIran":10259,"_cont":10260,"ĉT":10261,"Ġphase":10262,"checkbox":10263,"week":10264,"Ġhide":10265,"Ġtil":10266,"Ġju":10267,"Custom":10268,"burg":10269,"/M":10270,"TON":10271,"Ġquant":10272,"Ġrub":10273,"ixels":10274,"Ġinstalled":10275,"Ġdump":10276,"Ġproperly":10277,"(List":10278,"Ġdecide":10279,"apply":10280,"Has":10281,"Ġkeeping":10282,"Ġcitizens":10283,"Ġjoint":10284,"pool":10285,"Socket":10286,"_op":10287,"Ġweapon":10288,"gnore":10289,"ĠExec":10290,"otten":10291,"ĠMS":10292,"Ġ(-":10293,"ĠReview":10294,"Ġexamples":10295,"Ġtight":10296,"!(":10297,"DP":10298,"ĠMessageBox":10299,"Ġphotograph":10300,"URI":10301,"ét":10302,"low":10303,"ĠGrand":10304,".persistence":10305,"Ġmaintain":10306,"Ġnums":10307,"Ġzip":10308,"ials":10309,"ĠGets":10310,"peg":10311,"ĠBuffer":10312,"~~~~":10313,"rastructure":10314,"ĠPL":10315,"uen":10316,"obby":10317,"sizeof":10318,"Ġpic":10319,"Ġseed":10320,"Ġexperienced":10321,"Ġodd":10322,"Ġkick":10323,"Ġprocedure":10324,"avigator":10325,"-on":10326,",j":10327,"ĠAlthough":10328,"ĠuserId":10329,"accept":10330,"Blue":10331,"IColor":10332,"layer":10333,"available":10334,"Ġends":10335,".table":10336,"Ġdataset":10337,"bus":10338,"Ġexplain":10339,"(pro":10340,"ĠCommittee":10341,"Ġnoted":10342,"]:Ċ":10343,"Dim":10344,"stdio":10345,".\",Ċ":10346,"_source":10347,"ĠWeek":10348,"ĠEdge":10349,"Ġoperating":10350,"Ġeste":10351,"ipl":10352,"agination":10353,"Ġproceed":10354,"Ġanimation":10355,".Models":10356,"ĠWatch":10357,"iat":10358,"Ġoppon":10359,"/A":10360,"Report":10361,"Ġsounds":10362,"_buf":10363,"IELD":10364,"Ġbund":10365,"ĉget":10366,".pr":10367,"(tmp":10368,"Ġkid":10369,">ĊĊĊ":10370,"Ġyang":10371,"NotFound":10372,"ÑĨ":10373,"math":10374,"@gmail":10375,"ĠLIMIT":10376,"redients":10377,"Ġvent":10378,"avigate":10379,"Look":10380,"Ġreligious":10381,"Ġrand":10382,"rio":10383,"(GL":10384,"_ip":10385,"uan":10386,"iciency":10387,"ĠChange":10388,">čĊčĊ":10389,"ĠEntity":10390,"Ġrencontre":10391,"ĠRet":10392,"plan":10393,"én":10394,"BOOL":10395,"uries":10396,"train":10397,"Definition":10398,"============":10399,"zz":10400,"Animation":10401,"ĠOK":10402,"_menu":10403,".bl":10404,"_score":10405,"Ġacad":10406,"(System":10407,"Ġrefresh":10408,"'=>$":10409,".Graphics":10410,"amento":10411,"pid":10412,"tc":10413,"Ġtips":10414,"Ġhomes":10415,"Ġfuel":10416,"âĸ":10417,"_helper":10418,"ĠĠčĊ":10419,"ĠRoom":10420,".Close":10421,"_attr":10422,"ĠMount":10423,"ĠEv":10424,"arser":10425,"_top":10426,"eah":10427,"ĠDelete":10428,"ãĢį":10429,"uke":10430,"Ġusage":10431,"aria":10432,"_dev":10433,"Ġtexture":10434,"Ġconversation":10435,"eper":10436,"Bean":10437,"done":10438,"nonatomic":10439,"ĠSecond":10440,"Ġshooting":10441,"_pre":10442,"Components":10443,"Ġ]ĊĊ":10444,"__,":10445,"stitution":10446,".Char":10447,">();ĊĊ":10448,"Ġpresented":10449,"Ġwa":10450,"oker":10451,"-ĊĊ":10452,"iner":10453,"Ġbecoming":10454,"Ġincident":10455,"Att":10456,"Ġrevealed":10457,"forc":10458,"Ġboot":10459,".page":10460,"Enumerator":10461,"_->":10462,"Photo":10463,"Ġspring":10464,".\",":10465,"ĠDictionary":10466,"BJECT":10467,"Ġlocations":10468,"Ġsamples":10469,"InputStream":10470,"ĠBrown":10471,"Ġstats":10472,"quality":10473,"Ñħ":10474,"-dis":10475,"Ġhelping":10476,"Ġped":10477,"(se":10478,"ĠWho":10479,"alian":10480,"internal":10481,"Ġft":10482,">().":10483,"->{":10484,"Ġmine":10485,"Ġsector":10486,"Ġgro":10487,"Ġopportunities":10488,"Ġü":10489,"Ġmp":10490,"Ġalleged":10491,"Ġdoubt":10492,"Mouse":10493,"About":10494,"_part":10495,"Ġchair":10496,"Ġstopped":10497,"loop":10498,"entities":10499,"Ġapps":10500,"ansion":10501,"Ġmental":10502,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":10503,"FR":10504,"Ġdefend":10505,"care":10506,"Ġideal":10507,"/api":10508,"urface":10509,"Ġele":10510,"ulator":10511,"ĠRights":10512,"anguages":10513,"Ġfunds":10514,"Ġadapt":10515,"Attributes":10516,"Ġdeploy":10517,"opts":10518,"Ġvalidation":10519,"Ġconcerns":10520,"uce":10521,".num":10522,"ulture":10523,"ila":10524,"Ġcup":10525,"Ġpure":10526,".Fore":10527,"ĠHashMap":10528,".valueOf":10529,"asm":10530,"MO":10531,"Ġcs":10532,"Ġstores":10533,"Ġ************************************************************************":10534,"Ġcommunication":10535,"mem":10536,".EventHandler":10537,".Status":10538,"_right":10539,".setOn":10540,"Sheet":10541,"Ġidentify":10542,"enerated":10543,"ordered":10544,"Ġ\"[":10545,"Ġswe":10546,"Condition":10547,"ĠAccording":10548,"Ġprepare":10549,"Ġrob":10550,"Pool":10551,"Ġsport":10552,"rv":10553,"ĠRouter":10554,"Ġalternative":10555,"([]":10556,"ĠChicago":10557,"ipher":10558,"ische":10559,"ĠDirector":10560,"kl":10561,"ĠWil":10562,"keys":10563,"Ġmysql":10564,"Ġwelcome":10565,"king":10566,"ĠManager":10567,"Ġcaught":10568,")}Ċ":10569,"Score":10570,"_PR":10571,"Ġsurvey":10572,"hab":10573,"Headers":10574,"ADER":10575,"Ġdecor":10576,"Ġturns":10577,"Ġradius":10578,"errupt":10579,"Cor":10580,"Ġmel":10581,"Ġintr":10582,"(q":10583,"ĠAC":10584,"amos":10585,"MAX":10586,"ĠGrid":10587,"ĠJesus":10588,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":10589,".DE":10590,"Ġts":10591,"Ġlinked":10592,"free":10593,"ĠQt":10594,"Ġ/**čĊ":10595,"Ġfaster":10596,"ctr":10597,"_J":10598,"DT":10599,".Check":10600,"Ġcombination":10601,"Ġintended":10602,"-the":10603,"-type":10604,"ectors":10605,"ami":10606,"uting":10607,"Ġuma":10608,"XML":10609,"UCT":10610,"Ap":10611,"ĠRandom":10612,"Ġran":10613,".sort":10614,"Ġsorted":10615,".Un":10616,"_PER":10617,"itory":10618,"Ġpriority":10619,"ĠGal":10620,"ĠOld":10621,"hot":10622,"ĠDisplay":10623,"(sub":10624,"_TH":10625,"_Y":10626,"ĠCare":10627,"loading":10628,"Kind":10629,"_handle":10630,",,":10631,"rase":10632,"_replace":10633,".addEventListener":10634,"ĠRT":10635,"Ġentered":10636,"gers":10637,"Ġich":10638,"(start":10639,"/app":10640,"Ġbrother":10641,"Memory":10642,"Outlet":10643,"Ġutf":10644,"prec":10645,"Ġnavigation":10646,"ORK":10647,"Ġdst":10648,"Detail":10649,"Ġaudience":10650,"Ġdur":10651,"Ġcluster":10652,"unched":10653,"Ġ],":10654,"Ġcomfortable":10655,".values":10656,"ĠTotal":10657,"Ġsnap":10658,"Ġstandards":10659,"Ġperformed":10660,"hand":10661,"(\"@":10662,"åŃ":10663,"Ġphil":10664,"ibr":10665,"trim":10666,"Ġforget":10667,"Ġdoctor":10668,".TextBox":10669,"icons":10670,",s":10671,"ĠOp":10672,"Sm":10673,"Stop":10674,"ĉList":10675,"ĉu":10676,"Comment":10677,"_VERSION":10678,".Xtra":10679,"Person":10680,"rb":10681,"LOB":10682,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":10683,"ĠCentral":10684,"ICK":10685,"raq":10686,"Ġputting":10687,"Ġmd":10688,"ĠLove":10689,"Program":10690,"Border":10691,"oor":10692,"Ġallowing":10693,"after":10694,"Ġentries":10695,"ĠMaybe":10696,"]).":10697,"ĠShort":10698,")\\":10699,".now":10700,"friend":10701,"Ġprefer":10702,"ĠGPIO":10703,"osis":10704,"ĠGameObject":10705,"Ġskip":10706,"Ġcompetition":10707,"_match":10708,"lications":10709,"_CONT":10710,".groupBox":10711,"Ġals":10712,"\"We":10713,"_eq":10714,"lan":10715,"_search":10716,"ĠMusic":10717,"asis":10718,"Ġbind":10719,"ĠIsland":10720,"rum":10721,"(E":10722,"Ġseat":10723,"Video":10724,"Ġack":10725,"reek":10726,"={()":10727,"Ġrating":10728,"Ġrestaurant":10729,"DEX":10730,"(buf":10731,"pping":10732,"uality":10733,"Ġleague":10734,"Ġfocused":10735,"apon":10736,"$data":10737,"CLUD":10738,"CLUDING":10739,"Ġabsolute":10740,"(query":10741,"Ġtells":10742,"Ang":10743,"Ġcommunities":10744,"Ġhonest":10745,"oking":10746,"Ġapart":10747,"arity":10748,"/$":10749,"_module":10750,"ĠEnc":10751,".an":10752,".Config":10753,"Cre":10754,"Ġshock":10755,"ĠArab":10756,"IENT":10757,"/re":10758,"Ġretrie":10759,"ycler":10760,"isa":10761,"ĠOrgan":10762,".graph":10763,"Ġí":10764,"ĠBAS":10765,"Enum":10766,"Ġpossibly":10767,"ÑĢаÐ":10768,"ĠJapanese":10769,"Ġcraft":10770,"ĠPlace":10771,"Ġtalent":10772,"Ġfunding":10773,"Ġconfirmed":10774,"Ġcycle":10775,"/x":10776,"GE":10777,"Ġhearing":10778,"Ġplants":10779,"Ġmouth":10780,"pages":10781,"oria":10782,"ĠRemove":10783,"_total":10784,"Ġod":10785,"ollapse":10786,"door":10787,"Ġbought":10788,"Ġaddr":10789,"ARCH":10790,"_dim":10791,"dden":10792,"Ġdecades":10793,"REQUEST":10794,"Ġversions":10795,"fire":10796,"Ġmoves":10797,"fb":10798,"Ġcoffee":10799,".connect":10800,"ĠRow":10801,"Ġschema":10802,"Scope":10803,"-Type":10804,"Ġfighting":10805,"Ġretail":10806,"Ġmodified":10807,"TF":10808,"Files":10809,"nie":10810,"_command":10811,"stone":10812,"ĠÑĤ":10813,"_thread":10814,"Ġbond":10815,"ĠDevelopment":10816,"Ġpt":10817,"FORM":10818,"plet":10819,"Ġidentified":10820,"cpp":10821,"Ġcoding":10822,"oked":10823,"ĠMaster":10824,"IDTH":10825,"Ġresidents":10826,"redit":10827,"ĠPhoto":10828,"=-":10829,"unte":10830,"ateur":10831,"_STATE":10832,"ĠSing":10833,"Ġsheet":10834,".val":10835,"orse":10836,"Ġhers":10837,"Ġdetermined":10838,"Common":10839,"Ġwed":10840,"_queue":10841,"PH":10842,"ĠAtl":10843,"cred":10844,"/LICENSE":10845,"Ġmes":10846,"Ġadvanced":10847,".java":10848,".Sh":10849,"Go":10850,"kill":10851,"fp":10852,"_settings":10853,"Ġpal":10854,"Ġtruck":10855,"Ġcombined":10856,"Ġ\"${":10857,"ĠCorpor":10858,"Ġjoined":10859,"ĠJose":10860,"ĠCup":10861,"uns":10862,"estival":10863,"levision":10864,"Ġbroken":10865,"Ġmarriage":10866,"ĠWestern":10867,"Ġrepresents":10868,"ĠTitle":10869,"Ġss":10870,".Ass":10871,"ongoose":10872,"iento":10873,"<>();Ċ":10874,"Ġabsolutely":10875,"Ġsmooth":10876,"TERN":10877,"ĠUnless":10878,"Word":10879,"Ġmerge":10880,"igan":10881,"ĠVol":10882,"Ġnn":10883,".getId":10884,"Ġз":10885,"Ġsexy":10886,"Ġseeking":10887,"Single":10888,".this":10889,"Ġkom":10890,"bound":10891,";\"":10892,"ĠfontSize":10893,"_df":10894,"Ġinjury":10895,"(H":10896,"Ġissued":10897,"_END":10898,":self":10899,"Ġpatch":10900,"Ġleaves":10901,"Ġadopt":10902,"FileName":10903,"ãĢIJ":10904,"Ġexecutive":10905,"ĠByte":10906,"]))Ċ":10907,"Ġnu":10908,"outing":10909,"cluding":10910,"-R":10911,".options":10912,"Ġsubstant":10913,"avax":10914,"ĠBUT":10915,"Ġtechnical":10916,"Ġtwice":10917,"Ġmás":10918,"Ġunivers":10919,"yr":10920,"Ġdrag":10921,"ĠDC":10922,"Ġsed":10923,"Ġbot":10924,"ĠPal":10925,"ĠHall":10926,"forcement":10927,"Ġauch":10928,".mod":10929,"notation":10930,"_files":10931,".line":10932,"_flag":10933,"[name":10934,"Ġresolution":10935,"Ġbott":10936,"(\"[":10937,"ende":10938,"(arr":10939,"Free":10940,"(@\"":10941,"ĠDistrict":10942,"PEC":10943,":-":10944,"Picker":10945,"ĠJo":10946,"ĠĠĠĠĠĊ":10947,"ĠRiver":10948,"_rows":10949,"Ġhelpful":10950,"Ġmassive":10951,"---Ċ":10952,"Ġmeasures":10953,"ĠRuntime":10954,"Ġworry":10955,"ĠSpec":10956,"ĉD":10957,"ãĢij":10958,"Ġ){Ċ":10959,"Ġworse":10960,"(filename":10961,"Ġlay":10962,"Ġmagic":10963,"ĠTheir":10964,"oul":10965,"stroy":10966,"ĠWhere":10967,"Ġsudden":10968,"Ġdefe":10969,"Ġbinding":10970,"Ġflight":10971,"ĠOnInit":10972,"ĠWomen":10973,"ĠPolicy":10974,"Ġdrugs":10975,"ishing":10976,"('../":10977,"ĠMel":10978,"peat":10979,"tor":10980,"Ġproposed":10981,"Ġstated":10982,"_RES":10983,"Ġeast":10984,"ĠCONDITION":10985,"_desc":10986,"Ġwinning":10987,"folio":10988,"Mapper":10989,"ĠPan":10990,"ĠAnge":10991,".servlet":10992,"Ġcopies":10993,"LM":10994,"Ġvm":10995,"åį":10996,"Ġdictionary":10997,"Seg":10998,"elines":10999,"ĠSend":11000,"Ġiron":11001,"ĠFort":11002,".domain":11003,"Ġdebate":11004,"NotNull":11005,"eq":11006,"acher":11007,"lf":11008,"ĉfmt":11009,"Ġlawy":11010,"ÄŁ":11011,"ĠMen":11012,"Ġtrim":11013,"(NULL":11014,"Ġ!!":11015,"Ġpad":11016,"Ġfollows":11017,"\"][\"":11018,"requ":11019,"ĠEp":11020,".github":11021,"(img":11022,"eto":11023,"('\\":11024,"Services":11025,"umbnail":11026,"_main":11027,"pleted":11028,"fortunately":11029,"Ġwindows":11030,"Ġplane":11031,"ĠConnection":11032,".local":11033,"uard":11034,"}\\":11035,"==\"":11036,"andon":11037,"ĠRoy":11038,"west":11039,"iginal":11040,"emies":11041,"itz":11042,"'):Ċ":11043,"ĠPeter":11044,"Ġtough":11045,"Ġreduced":11046,"Ġcalculate":11047,"Ġrapid":11048,"customer":11049,"Ġefficient":11050,"Ġmedium":11051,"Ġfell":11052,".ref":11053,"ĠCas":11054,"Ġfeedback":11055,"Speed":11056,"(output":11057,"aje":11058,"Ġcategories":11059,"Ġfee":11060,"};":11061,"Ġdeleted":11062,"reh":11063,"Ġproof":11064,"Desc":11065,"Build":11066,"Ġsides":11067,".ArrayList":11068,"-%":11069,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":11070,"ر":11071,".match":11072,"ли":11073,"Ġfeels":11074,"Ġachieve":11075,"Ġclim":11076,"_ON":11077,"ĠCD":11078,"Ġteacher":11079,"_current":11080,"bn":11081,"_PL":11082,"isting":11083,"Enable":11084,"GEN":11085,"Ġtv":11086,"Ġsock":11087,"Ġplays":11088,"Ġdiscount":11089,"ĠKE":11090,"ĠDebug":11091,"Fore":11092,"ĠIraq":11093,"Ġappearance":11094,"Mon":11095,"Ġstyled":11096,"ĠHuman":11097,"iot":11098,"ĠHistory":11099,"Ġsac":11100,"ĠCollection":11101,"Ġrecommended":11102,".Selected":11103,"Ġorganizations":11104,"Ġdiscovered":11105,"cohol":11106,"adas":11107,"ĠThomas":11108,"May":11109,"Ġconserv":11110,"Ġdomin":11111,"ĠFollow":11112,"ĠSection":11113,"ĠThanks":11114,"Username":11115,"Ġrecipe":11116,"Ġwonderful":11117,".sleep":11118,"_if":11119,"ĉĊĉĊ":11120,"orno":11121,"Ġru":11122,"_target":11123,".\"\"":11124,"à¦":11125,"EventArgs":11126,"Ġinputs":11127,"Ġfif":11128,"Ġvision":11129,"cy":11130,"ĠSeries":11131,")(((":11132,"Ġtrading":11133,"Ġmarker":11134,"Begin":11135,"Ġtypically":11136,"Ġcauses":11137,"dropdown":11138,"_DEBUG":11139,"Ġdetect":11140,"country":11141,"!\");Ċ":11142,"ĉR":11143,"appy":11144,"Ġcref":11145,"('<":11146,"\"=>":11147,"ĠLE":11148,"reader":11149,"Ġadministr":11150,"õ":11151,"ucket":11152,"Ġfashion":11153,".char":11154,"izar":11155,"Ġdisable":11156,"Ġsuc":11157,"ĠLive":11158,"issue":11159,"Ġmetadata":11160,"flags":11161,"ĠðŁ":11162,"Ġcommitted":11163,"Ġva":11164,"Ġrough":11165,"Ġ'''Ċ":11166,"Ġhighlight":11167,"_vars":11168,"VO":11169,"Ġencoding":11170,"-Z":11171,"_sign":11172,"$(\"#":11173,"Ġrain":11174,"reatest":11175,"ĠEND":11176,"Selection":11177,"Ġcandidates":11178,"Ġsav":11179,".Empty":11180,"Ġdecisions":11181,"Ġcollabor":11182,"ridge":11183,"feed":11184,"ression":11185,"Ġpersons":11186,"VM":11187,"ega":11188,"_BIT":11189,"According":11190,"acked":11191,"Ġdollars":11192,"_loss":11193,"ĠCost":11194,"}\"Ċ":11195,"Notification":11196,"Ġprostit":11197,"Ġauthority":11198,".rec":11199,"Ġspokes":11200,"ĠToday":11201,"istant":11202,"ĠHead":11203,"âĢĿ.":11204,"ertainment":11205,"cean":11206,"culate":11207,"Ġven":11208,"However":11209,"_arr":11210,"Ġtokens":11211,"Graph":11212,"ĠJud":11213,"ĠVirgin":11214,"ĠSerial":11215,"unning":11216,"Mutable":11217,"agers":11218,".csv":11219,"Ġdeveloping":11220,"Ġinstructions":11221,"Ġpromise":11222,"Ġrequested":11223,"_encode":11224,"/\"":11225,"ĠIcon":11226,"uilt":11227,"-day":11228,"Ġintelligence":11229,".IS":11230,"ĠObservable":11231,"ĠHard":11232,"Bool":11233,"idential":11234,".Anchor":11235,"Ġselling":11236,"CI":11237,"AGES":11238,"tle":11239,"bur":11240,"UFFER":11241,"RY":11242,"Ġbigger":11243,"Ġrat":11244,"Ġfamous":11245,"Ġtypename":11246,"Ġexplained":11247,"}}Ċ":11248,"Ġnuclear":11249,"-N":11250,"Ġcrisis":11251,"ĠEnter":11252,"Ġanswers":11253,"/${":11254,"/pl":11255,"Ġsequ":11256,"_next":11257,"mask":11258,"Ġstanding":11259,"Ġplenty":11260,"ĠCross":11261,"ĉret":11262,"dro":11263,"ĠCast":11264,"=true":11265,"ĠChris":11266,"icio":11267,"ĠMike":11268,"Decimal":11269,"addComponent":11270,"Len":11271,"Ġcock":11272,"Ġ#{":11273,"URN":11274,"":11403,"Ġ*=":11404,"ĠPS":11405,"Ġdangerous":11406,"[p":11407,"OME":11408,"Other":11409,"ĠStringBuilder":11410,"Points":11411,"heading":11412,"Ġcurrency":11413,"Ġpercentage":11414,"_API":11415,"Ġclassic":11416,"thead":11417,"ĠMO":11418,"FE":11419,"Idx":11420,"await":11421,"Ġè":11422,"Ġaccident":11423,"Ġvariant":11424,"Ġmyst":11425,"ĠLand":11426,"ĠBre":11427,"Ġharm":11428,"ĠAcc":11429,"Ġcharged":11430,"iones":11431,"Visibility":11432,"arry":11433,"ĠLanguage":11434,"Ġwalking":11435,"\".ĊĊ":11436,"ifer":11437,"Ġleadership":11438,".From":11439,"ynam":11440,"Ġtimestamp":11441,"ipt":11442,"ĠHas":11443,"REFER":11444,"ĠIts":11445,"Ġlistener":11446,"UTE":11447,"_description":11448,"Ġexperiences":11449,"Ġcreates":11450,"RS":11451,"cart":11452,"black":11453,"Ġchoices":11454,"war":11455,"Ġ'''":11456,"Ġordered":11457,"Ġevening":11458,"Ġpil":11459,"Ġtun":11460,"ĠBad":11461,"(app":11462,"random":11463,"Ġexplicit":11464,"Ġarrived":11465,"Ġfly":11466,"Ġeconom":11467,"-mail":11468,"Ġlists":11469,"Ġarchitect":11470,"ĠPay":11471,"Ġds":11472,"ĠSol":11473,"Ġvehicles":11474,"Hz":11475,"-com":11476,"Ġking":11477,"_equal":11478,"ĠHelp":11479,"Ġabuse":11480,"--;Ċ":11481,"Ġextr":11482,"Ġchemical":11483,"ä¿":11484,"Ġorient":11485,"Ġbreath":11486,"ĠSpace":11487,"(element":11488,"wait":11489,"DED":11490,"igma":11491,"Ġentr":11492,"Ġsob":11493,"-name":11494,"Ġaffected":11495,"ika":11496,"Ġcoal":11497,"_work":11498,"Ġhundreds":11499,"Ġpolitics":11500,"subject":11501,"Ġconsumer":11502,"ANGE":11503,"Ġrepeated":11504,"Send":11505,"Ġ#[":11506,"Ġprotocol":11507,"Ġleads":11508,"useum":11509,"Every":11510,"Import":11511,"(count":11512,"Ġchallenges":11513,"Ġnovel":11514,"Ġdepart":11515,"bits":11516,".Current":11517,"Ġ`${":11518,"oting":11519,"(\\":11520,"Ġcreative":11521,"Ġbuff":11522,"Ġintroduced":11523,"usic":11524,"modules":11525,"Are":11526,"-doc":11527,"language":11528,"_cache":11529,"Ġtod":11530,"?>{{":11764,"ĠResource":11765,"ĠStandard":11766,"ĠPrem":11767,"updated":11768,"ivalent":11769,"Ġassets":11770,"_temp":11771,"Ġinterests":11772,"Ġhardware":11773,"ĠRom":11774,"ĠShare":11775,"Ġ''Ċ":11776,"Ġ*,":11777,"ĠTake":11778,"ĠImages":11779,"_CHECK":11780,"(typeof":11781,"ĠJun":11782,"\\<^":11783,"Ġliqu":11784,"Ġworst":11785,"ymbols":11786,"ĉĉĉĠĠĠ":11787,"Ġdrivers":11788,"ĠDocument":11789,"eno":11790,"ĠTechnology":11791,"Ġapproved":11792,"umps":11793,"Ġsnow":11794,"formance":11795,"_ASSERT":11796,"uits":11797,"ÙĨ":11798,"Ġdifferences":11799,".Visible":11800,"ĉĉĉčĊ":11801,"ĠPs":11802,"_fetch":11803,"Ġtodo":11804,".',Ċ":11805,"Ġsel":11806,"urers":11807,"invalid":11808,"Ġtweet":11809,"VEL":11810,"Ġresearchers":11811,"Ġsprintf":11812,"ĠRO":11813,"Ġpel":11814,".Trans":11815,"Ġillegal":11816,"dialog":11817,"smarty":11818,"lg":11819,"_MIN":11820,"Ġhero":11821,"final":11822,"Ġpp":11823,".Le":11824,"Ġci":11825,"ĉRT":11826,"Ġsuggested":11827,"pdf":11828,"aching":11829,"ĠRo":11830,"ĠProperties":11831,"ĠSi":11832,"Ġbuying":11833,"Ġmu":11834,"Ġlands":11835,"ifiers":11836,"ĠFILE":11837,"ROUP":11838,"Ġholder":11839,"ĠSon":11840,"Ġsympt":11841,".route":11842,")?":11843,"Ġargc":11844,"Ġfort":11845,"Ġcasino":11846,"_category":11847,"Ġforum":11848,"prefix":11849,"apture":11850,"Tube":11851,"ems":11852,"imize":11853,"Ġnue":11854,"aus":11855,"course":11856,"ATOR":11857,"()),":11858,"Advertis":11859,"INGS":11860,"Ġacknow":11861,"ĠKorea":11862,"pling":11863,"Ġworker":11864,"PLIED":11865,"hal":11866,"ĠRichard":11867,"Elements":11868,"ĉĉĉĠ":11869,"star":11870,"Ġrelationships":11871,"Ġcheap":11872,"ACH":11873,"ĠXML":11874,",&":11875,"ĠLouis":11876,"Ġride":11877,"_FAIL":11878,"Ġchunk":11879,"[s":11880,"_OUT":11881,"Ġchosen":11882,"_[":11883,"/(":11884,"ĠJeff":11885,"_sl":11886,"priv":11887,"ĠCanadian":11888,"Ġunable":11889,"_FLAG":11890,"Ġnos":11891,"high":11892,"Ġlift":11893,"fun":11894,"(){":11895,"elly":11896,"yclerView":11897,"_as":11898,"_LIST":11899,"Ġradi":11900,".getValue":11901,"ĠAngeles":11902,"ĠSpan":11903,"_instance":11904,"itors":11905,"Ġmigration":11906,"AK":11907,"Oh":11908,"®":11909,".selected":11910,"ĠGT":11911,"Ġadvance":11912,"ĠStyle":11913,".DataGridView":11914,"ection":11915,"Ñİ":11916,"pio":11917,"rog":11918,"Ġshopping":11919,"ĠRect":11920,"Illuminate":11921,"OU":11922,"ĉarray":11923,"Ġsubstantial":11924,"Ġpregn":11925,"Ġpromote":11926,"IEW":11927,".Layout":11928,"Ġsigns":11929,"/.":11930,"Ġletters":11931,"Board":11932,"ctrl":11933,"\"\\":11934,"ĠJones":11935,"Ġvertex":11936,"Ġja":11937,"Ġaffili":11938,"Ġwealth":11939,"ĉdefault":11940,"Ġsignificantly":11941,"Ġec":11942,"Ġxs":11943,"actual":11944,".per":11945,"_step":11946,"anvas":11947,"mac":11948,"Ġtransl":11949,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":11950,"Iterator":11951,"Ġoch":11952,"agnostic":11953,"ĠDuring":11954,"ĠDEFAULT":11955,"Ġtill":11956,"Ġsignature":11957,"Ġbird":11958,"ĠOl":11959,"ĠIr":11960,"HS":11961,"avatar":11962,"ESSAGE":11963,"Ġelev":11964,"Ġmt":11965,"ĠNav":11966,"Ġrelax":11967,"Ġplate":11968,"ITEM":11969,"(date":11970,".not":11971,"Ġgrade":11972,"Ġ}),Ċ":11973,"?\"ĊĊ":11974,"iences":11975,"High":11976,"ĠDIS":11977,"disabled":11978,"QUI":11979,"Ġnoise":11980,"aux":11981,"ĠUP":11982,"osa":11983,"Ġvoc":11984,"Ġ))":11985,"ocom":11986,"_OFF":11987,"ĠDb":11988,"Lock":11989,".eclipse":11990,",d":11991,"ĠDraw":11992,"Ġ\"(":11993,"Ġvisited":11994,"ĠâĪ":11995,"Ġsucceed":11996,"Ġimpossible":11997,"aire":11998,"ĠTurn":11999,"Ġdish":12000,"FG":12001,"Ġsensor":12002,"ANN":12003,"aba":12004,"Ġsurg":12005,"]);čĊ":12006,"Ġfp":12007,"_an":12008,"-J":12009,"-G":12010,"ĠJob":12011,"Convert":12012,"ĠKEY":12013,"Ġauthors":12014,"_server":12015,"\\r":12016,"Ġ-*-":12017,"flex":12018,"Ġsoc":12019,"Ret":12020,"Ġsalt":12021,"ĠâĢ¦ĊĊ":12022,"ĠClear":12023,"(page":12024,"-danger":12025,"Ġrooms":12026,"conv":12027,"#{":12028,".op":12029,"ĠArea":12030,"_SC":12031,"hen":12032,"Ġbegins":12033,"-y":12034,"Ġexcited":12035,"Ġignored":12036,"Ġbonus":12037,"student":12038,"ĠMember":12039,"Ġrelatively":12040,"ĠLow":12041,"ĠProdu":12042,"ateway":12043,"posure":12044,"Ġthick":12045,"aniel":12046,"(view":12047,"ĠCrush":12048,"Extension":12049,"Il":12050,"eed":12051,"LOC":12052,".im":12053,".Items":12054,"Ġconflict":12055,".prevent":12056,"ĠonCreate":12057,"uv":12058,"iser":12059,"Ġwave":12060,"Mar":12061,"ĠCommunity":12062,"iche":12063,"ĠNothing":12064,"[m":12065,"ĠLee":12066,"riends":12067,"ère":12068,"!!!":12069,"anz":12070,".result":12071,"ĠSK":12072,"_PARAM":12073,"Ġdemocr":12074,"BackColor":12075,".exists":12076,"\"It":12077,"(options":12078,"razy":12079,"aser":12080,"\\Database":12081,"alendar":12082,"_ass":12083,";}Ċ":12084,"vertex":12085,"inecraft":12086,"Warning":12087,"argo":12088,"Ġactor":12089,"ĠInstead":12090,"ĠUsing":12091,"Self":12092,"@interface":12093,"Ġspeaking":12094,"ĠParis":12095,"ĠLICENSE":12096,".node":12097,"ĠFood":12098,"EIF":12099,"ĠBi":12100,".Start":12101,"ĠIB":12102,"Ġuniversity":12103,"ĠHeader":12104,".product":12105,"Copy":12106,"etc":12107,"rical":12108,"Ġ>>>":12109,"books":12110,"Ġalgorithm":12111,"Ġ'__":12112,"(javax":12113,"Ġnumerous":12114,"Share":12115,"Have":12116,"Ġrecru":12117,"Ġprove":12118,".substring":12119,"health":12120,"ел":12121,"Ġdecimal":12122,"Ġcommission":12123,"scription":12124,"xC":12125,"Ġsummary":12126,"atted":12127,"Ġcloser":12128,"finished":12129,"()){Ċ":12130,"ĠWood":12131,"_fields":12132,"ku":12133,"_items":12134,"Flag":12135,"Ġconfidence":12136,"ĠFederal":12137,"dux":12138,"Ġcompat":12139,"Ġvertical":12140,"й":12141,"ès":12142,";\">Ċ":12143,"_manager":12144,"()))Ċ":12145,"IDE":12146,":\",":12147,"__Ċ":12148,"ĠWay":12149,"ÑĪ":12150,"Temp":12151,"ĠSTR":12152,"ritten":12153,"Sync":12154,"ĠAV":12155,"ĠCEO":12156,"ĠGuid":12157,"Ġenvironmental":12158,"Ġcorresponding":12159,"ĉconsole":12160,"Ġjustice":12161,"ĠJS":12162,"Ġlived":12163,"gar":12164,"ĠGraph":12165,"ĠStat":12166,"ĠiPhone":12167,".al":12168,"ĠHD":12169,"Ġoccur":12170,"Ġthreshold":12171,"Ġonclick":12172,"REG":12173,".GraphicsUnit":12174,"Meta":12175,"ž":12176,"Ġcum":12177,".gnu":12178,"ë":12179,"Ġobtained":12180,"Ġcomplaint":12181,"Ġeating":12182,"Ġtar":12183,"_task":12184,"Ġopts":12185,"(to":12186,"Pass":12187,"Ġplastic":12188,"tility":12189,"ĠWin":12190,".preventDefault":12191,"pile":12192,"ĠGar":12193,"Ġquantity":12194,"_last":12195,"Ġgreatest":12196,"Dao":12197,"_DIS":12198,"ĠUsed":12199,"ĠHP":12200,"riting":12201,"SION":12202,"blue":12203,"domain":12204,"Ġscores":12205,"Normal":12206,"_admin":12207,"ĠASSERT":12208,"Then":12209,"***":12210,"dist":12211,"lon":12212,"Ġhate":12213,"shal":12214,"ImageView":12215,"database":12216,"Ġpand":12217,"Ġlogic":12218,"=false":12219,"bg":12220,"ĠConfiguration":12221,"Ġnur":12222,"OG":12223,"Ġmarried":12224,":+":12225,"Ġdropped":12226,"Ġregistration":12227,"ом":12228,"ultiple":12229,"izers":12230,"shape":12231,".copy":12232,"Ġwearing":12233,"ĠCath":12234,"Ġdedicated":12235,"Ġ...Ċ":12236,"Ġadvoc":12237,"ĠFamily":12238,"Ġstatements":12239,"ematic":12240,"ampionship":12241,"Ġmotiv":12242,"ĠHave":12243,"Ġblow":12244,"Job":12245,"cert":12246,"_vector":12247,"install":12248,"ĠCOPY":12249,"embed":12250,"DIR":12251,"ĠSpring":12252,"Ġexhib":12253,"cdn":12254,"ĠComment":12255,"ĠOptional":12256,".player":12257,"ĠDark":12258,"(pos":12259,"ĠShould":12260,"Ġcentre":12261,"ĠGuard":12262,"ów":12263,"Ġtrouble":12264,"ENER":12265,"(unsigned":12266,"_service":12267,"Ġns":12268,"uling":12269,"ĠMexico":12270,"ĠNY":12271,"mysql":12272,"Ġlic":12273,"åľ":12274,"Mr":12275,"-fl":12276,"ĠCustomer":12277,"idi":12278,"Ġ?>ĊĊ":12279,"rible":12280,"ĠпÑĢ":12281,"Ġsizes":12282,"_STRING":12283,"validation":12284,"ĠJon":12285,"(Http":12286,"addClass":12287,"Nodes":12288,"Ġfragment":12289,"Ġspoke":12290,"Ġwaste":12291,"Join":12292,"Ġillustr":12293,"eli":12294,"cient":12295,"Ġaid":12296,"Ġprosec":12297,"'){Ċ":12298,"Ġpassing":12299,"Ġfaces":12300,"Shape":12301,"_Z":12302,"iti":12303,"Ġalle":12304,"Ġrobot":12305,"ĠĠĠĠĠĠĠĊ":12306,"ĠSpe":12307,"Ġreceiving":12308,"ĠDetails":12309,"Ġ\")":12310,"mg":12311,"_REF":12312,"Ġcomparison":12313,"*,":12314,"ĠFound":12315,"_session":12316,"(U":12317,"/F":12318,"Ġxxx":12319,"Network":12320,"ders":12321,"Ġcapture":12322,"Ġcorre":12323,"ĠLtd":12324,"ĠAdv":12325,"[@":12326,"Ġclip":12327,"Mill":12328,"ĠProfile":12329,"Ġendif":12330,"Ġoblig":12331,"describe":12332,".element":12333,"riterion":12334,"LD":12335,"ered":12336,"Ġfavour":12337,"score":12338,"ĠFilter":12339,"attributes":12340,"Ġchecks":12341,"Inflater":12342,"ĠPlus":12343,"Ġscientific":12344,"Ġprivacy":12345,"Head":12346,"Ġfeat":12347,"Ġdegrees":12348,"ĠPale":12349,";\">":12350,"Ġfilms":12351,"ĠAudio":12352,"ĠTag":12353,"ĠEnergy":12354,"itar":12355,"parator":12356,"Ġfellow":12357,"Ġevt":12358,"ĠTri":12359,"ĠDAM":12360,"cloud":12361,"ĠPassword":12362,"ĠDemocrats":12363,"ĠAcad":12364,"$lang":12365,"Ġreb":12366,"())ĊĊ":12367,"нÑĭ":12368,"ĠBur":12369,"readcr":12370,"Ġhex":12371,"Console":12372,"ctl":12373,"ousel":12374,"ĠWilliam":12375,"Ġaz":12376,"_PORT":12377,"Ġpractices":12378,"Ġanywhere":12379,"ĠPosition":12380,"Ġ->Ċ":12381,"iams":12382,".username":12383,"placeholder":12384,"Ġoder":12385,"ĠSecretary":12386,"ĠiT":12387,"mond":12388,"events":12389,"?âĢĿ":12390,".Sub":12391,"Ġattached":12392,"Ġnão":12393,"Ġestate":12394,".action":12395,"Ġfigures":12396,"Ġ});čĊ":12397,"Ġsubscri":12398,".tag":12399,"nam":12400,".plot":12401,"noon":12402,"liament":12403,"Character":12404,".tab":12405,"Ġwinter":12406,"ĠVariable":12407,"Ġtrees":12408,"Ġproud":12409,"(V":12410,"_load":12411,"Ġhier":12412,"ĠEcon":12413,"Ġfd":12414,"Ġvictims":12415,"Rest":12416,"iana":12417,"Ġfake":12418,".Println":12419,"Ġstrlen":12420,"Ġsad":12421,"Ġble":12422,"Prot":12423,"Ġbuttons":12424,"Ġtelevision":12425,"Ġlogo":12426,"extension":12427,"ĉj":12428,"stein":12429,"aciones":12430,"Ġ\"\"\"ĊĊ":12431,"Ġsimp":12432,"Ġrecorded":12433,"Ġbrings":12434,"Ġprincipal":12435,"Ġfees":12436,"(source":12437,"kdir":12438,"Ġutils":12439,"Ġcorrectly":12440,"fil":12441,"Ġwel":12442,"Pair":12443,"-button":12444,"scale":12445,"verify":12446,"[c":12447,"Ġ---":12448,"Ġescape":12449,"ikes":12450,"LowerCase":12451,"ician":12452,"Ġchapter":12453,"ĠTYPE":12454,"Ġshadow":12455,"Ġawesome":12456,"WE":12457,"elif":12458,"Ġlambda":12459,"Ġdistinct":12460,"Ġbare":12461,"-off":12462,"Ġcolour":12463,".appendChild":12464,"olec":12465,"aga":12466,".fill":12467,"ĉsuper":12468,"Ġadj":12469,"(position":12470,".getItem":12471,"Short":12472,"Ġtotally":12473,"VD":12474,"ĠTre":12475,"_ep":12476,"vements":12477,"ĠSolution":12478,"Ġfundament":12479,"Follow":12480,"Ġfacility":12481,"Ġhappening":12482,"OF":12483,".textBox":12484,"Span":12485,"Ġ«":12486,"iden":12487,"Ġexceed":12488,"(parent":12489,"Ġcp":12490,"ç»":12491,"Ġhasn":12492,"Ġpri":12493,"Ġconsequ":12494,"nen":12495,"ĠINTO":12496,"Ignore":12497,"ĠFuture":12498,"Ġcarbon":12499,"ĠSteel":12500,"fmt":12501,"okie":12502,"Ġspl":12503,"(title":12504,"-info":12505,"Ġdeals":12506,"Ġfixture":12507,"ea":12508,"Div":12509,"Ġtested":12510,"_return":12511,")ĊĊĊĊ":12512,"upported":12513,"ĠCook":12514,"Ġpaying":12515,"ĠIll":12516,"Ġarrested":12517,"ĠPrime":12518,"_callback":12519,">,Ċ":12520,"driver":12521,"Once":12522,"abb":12523,"_bytes":12524,"ĠSets":12525,"(Object":12526,"Ġcc":12527,"Ġshell":12528,"alo":12529,");//":12530,"(log":12531,"ctors":12532,")":13004,"Ġ$(\".":13005,".pos":13006,"Ġboys":13007,"Ġwedding":13008,"Ġagents":13009,"=\"_":13010,"ĠArmy":13011,"Ġhint":13012,"vision":13013,"Ġtech":13014,"ĠConnect":13015,"Ġlegend":13016,"ĠBet":13017,".Base":13018,"Subject":13019,"Ġlit":13020,"Remove":13021,"Ġ\":":13022,"ĠFinal":13023,"pearance":13024,"ĠiTunes":13025,"Ġparticipants":13026,"ĠPython":13027,"Ġbusy":13028,"iel":13029,"vertices":13030,"ĠtemplateUrl":13031,"ĠClose":13032,"Img":13033,"ĠCorporation":13034,"timestamp":13035,"Ġextend":13036,"Ġwebsites":13037,"Ġpossibility":13038,"оÑĤ":13039,"Ġkö":13040,"Ġmeat":13041,"Ġrepresentation":13042,"Ġĉĉ":13043,"_START":13044,".apply":13045,"ĠValley":13046,"ĠSuccess":13047,"Hi":13048,"Ġnob":13049,"ĠIEnumerable":13050,"_select":13051,"geo":13052,".\")Ċ":13053,"Ġturning":13054,"Ġfabric":13055,"(\"\");Ċ":13056,"Ġperspective":13057,"éĹ":13058,"ĠSn":13059,"Thank":13060,";j":13061,".Parameters":13062,"ĉĠĠĠĠĠĠĠĠĠĠĠ":13063,"Ġfacts":13064,"Ġunt":13065,".instance":13066,"################################################################":13067,"-end":13068,"ĠJOIN":13069,"ĠHen":13070,"Ġuri":13071,"åIJį":13072,"Ġна":13073,"ĠInfo":13074,"Ġconducted":13075,"ĠÃ¥":13076,"OURCE":13077,"Ġwine":13078,"John":13079,".Errorf":13080,"ĠAge":13081,"ounded":13082,"Ġrealize":13083,"Ġ];":13084,"Ġsubsequ":13085,",m":13086,"(User":13087,"iano":13088,"Ġaccompl":13089,"isp":13090,".std":13091,"éĩ":13092,"ĠBed":13093,".setAttribute":13094,"BR":13095,"keep":13096,"ĠALL":13097,"Ġisol":13098,"amma":13099,"Package":13100,"Ġoccasion":13101,"-success":13102,"ед":13103,"ĠLIMITED":13104,"strip":13105,"()ĊĊĊ":13106,"istribution":13107,"Colors":13108,"Ġ+:+":13109,"DidLoad":13110,"aler":13111,"Ġtid":13112,"ĠLED":13113,"ĠLinked":13114,"ĠCart":13115,"())čĊ":13116,"_READ":13117,"Ġkilling":13118,"ĠPHP":13119,"fection":13120,"Ġinstances":13121,"cv":13122,"\"/>":13123,"Ġsf":13124,"Ġtaxes":13125,"_location":13126,"ĠBitcoin":13127,"uable":13128,"rank":13129,"ignore":13130,"track":13131,"ка":13132,"Ġshouldn":13133,"ĠOP":13134,"=>{Ċ":13135,"Ġkm":13136,"Ġhelper":13137,"_head":13138,"ĠWhether":13139,"oco":13140,"_bl":13141,"Ġstatistics":13142,"Ġbeauty":13143,"Ġtog":13144,"tip":13145,"ëĭ¤":13146,"Ġcsv":13147,"(sql":13148,"stdlib":13149,"weak":13150,"Ġlikes":13151,"Äį":13152,"Ġrepeat":13153,"Ġapartment":13154,"Ġemph":13155,"_edit":13156,"Ġvit":13157,"ĉtype":13158,"Even":13159,"uten":13160,"Ġcircumstances":13161,"bian":13162,"Ġsugar":13163,"Windows":13164,"ìŀ":13165,"Ġobserved":13166,"/data":13167,"Ġcalendar":13168,"Ġstrike":13169,"ĠRES":13170,"_sc":13171,"fony":13172,"orem":13173,"(z":13174,"power":13175,"etect":13176,"ĠSat":13177,".description":13178,"Ġgang":13179,"ĠSports":13180,"ongs":13181,"ĠBundle":13182,".sum":13183,"once":13184,"Ġaccused":13185,"Ġexplore":13186,"Ġapproximately":13187,"Ġlosing":13188,"thesis":13189,"ĠFund":13190,"Ġdiagn":13191,"Autowired":13192,"properties":13193,"Ġ_.":13194,"Ġcnt":13195,"cedure":13196,"Ġyy":13197,"Ġgrant":13198,"sock":13199,".innerHTML":13200,"Ġ]);Ċ":13201,"ĠCONFIG":13202,"='$":13203,"]];Ċ":13204,"UND":13205,"Ġglob":13206,"Ġdire":13207,"uffle":13208,"_MEM":13209,"Ġauthentic":13210,">(\"":13211,"Ġdecade":13212,"ĠImport":13213,"Ġoriginally":13214,"ĠjQuery":13215,"Ġindicate":13216,"Ġourselves":13217,"Sw":13218,".lbl":13219,"enerate":13220,"Ġbasically":13221,"ĠHom":13222,"Ġ+#+":13223,"ĠBritain":13224,"ĠKar":13225,"toEqual":13226,".stop":13227,"Ġmodal":13228,"isi":13229,"Ġsuggests":13230,"Ġdtype":13231,"Ġtur":13232,"bf":13233,"Ġconnections":13234,"ĠBefore":13235,"isted":13236,"mouse":13237,"Ġpulled":13238,".build":13239,"Ġlegislation":13240,"Ġforth":13241,"pad":13242,"ego":13243,".Now":13244,"Ġexciting":13245,"}ĊĊĊĊ":13246,"Ġcompr":13247,"Ġshares":13248,"Ġrig":13249,"green":13250,"_vec":13251,"Ġenumerate":13252,"Auto":13253,"icator":13254,"ĠRay":13255,"asse":13256,"Ġholiday":13257,"Ġnullable":13258,"gun":13259,"_details":13260,"Ġwrapper":13261,"seq":13262,"ĠYoung":13263,"juana":13264,"Ġ\"__":13265,"license":13266,"serve":13267,"^(":13268,"iders":13269,".Remove":13270,"ropdown":13271,"'S":13272,"pin":13273,"(token":13274,".Default":13275,"Ġreasonable":13276,"ampion":13277,"ĠSociety":13278,"Ġbei":13279,"erves":13280,"rad":13281,"ĠFox":13282,"_images":13283,"Ġwheel":13284,"')[":13285,"Ġcfg":13286,"(By":13287,"Constructor":13288,"Ġvary":13289,".swift":13290,"Ġproxy":13291,"ĉH":13292,"ĠAnother":13293,"ĠPen":13294,"Ġchecking":13295,"Ġjest":13296,"manager":13297,"Origin":13298,"ugs":13299,"oir":13300,">čĊ":15956,"Ġrelief":15957,"lap":15958,"quer":15959,"_parent":15960,"heap":15961,"LOSE":15962,"Ġcombine":15963,"ĠRose":15964,"owers":15965,"Ġprocedures":15966,"ĠSort":15967,"anim":15968,"variant":15969,"ehicle":15970,"Ġsigning":15971,"Primary":15972,"currency":15973,"Ġsexe":15974,"oen":15975,"theta":15976,"eman":15977,"Ġimpressive":15978,"('_":15979,"ĉU":15980,"ĠTextStyle":15981,"_cnt":15982,"Ġslice":15983,"(':":15984,"Ġunderstood":15985,"His":15986,"Ġinformed":15987,"Ġnick":15988,"(TAG":15989,"hd":15990,"Ġelections":15991,"esture":15992,"ĠSanta":15993,"ĠCoast":15994,".pdf":15995,"inciple":15996,".clone":15997,"born":15998,"uta":15999,"Ġlicensed":16000,"Cr":16001,"Ġbread":16002,"ĠHouston":16003,"Ġnod":16004,"Ġhopes":16005,"ĠCGRect":16006,"Ġguilty":16007,".gif":16008,"Ġrose":16009,".Common":16010,"Tip":16011,"ANK":16012,"ĠFC":16013,"During":16014,"ĠSymfony":16015,"Ġdefensive":16016,"km":16017,")>":16018,"archive":16019,"ĠURI":16020,"ycling":16021,"-o":16022,"ĠWebsite":16023,"AMP":16024,"ishment":16025,"Ġdoctors":16026,"Direct":16027,"ARI":16028,"ĠRedirect":16029,"ieren":16030,"_dist":16031,"yo":16032,"ĠProgress":16033,"Ġzum":16034,"Ġmemor":16035,"ĠED":16036,"Ġjur":16037,"æį®":16038,"_TABLE":16039,"Ġuuid":16040,"Expr":16041,".head":16042,"('%":16043,"pointer":16044,"Ġestimate":16045,"ĠGreg":16046,"Ġloader":16047,"ĠiOS":16048,"Ġmens":16049,"[y":16050,"Ġrefused":16051,"Ġprecision":16052,"isch":16053,"ĠACTION":16054,"Cloud":16055,"sWith":16056,"(ret":16057,"_ADDR":16058,"_conf":16059,"(df":16060,"Ġlocked":16061,"Ġrising":16062,"ãĥ»ãĥ»":16063,"ĠMs":16064,"Ġscenes":16065,"_EXT":16066,"_raw":16067,"_the":16068,"people":16069,"Ġrecon":16070,"ĠFun":16071,"Ġbless":16072,"ĠUpdated":16073,"ün":16074,"ĠĠĠĠĠĠĠĠĠĠĠĠčĊ":16075,"pection":16076,"Release":16077,".logger":16078,"ĠSY":16079,"Ġcounsel":16080,"urd":16081,"_true":16082,"Ġeverybody":16083,"ivot":16084,"Ġhence":16085,"ĠNAS":16086,"Ġopposed":16087,"unknown":16088,"ĠDESC":16089,"ĠChair":16090,"failed":16091,"ĠINCLUDING":16092,"Ġwriters":16093,"{}Ċ":16094,"ÃŃt":16095,"_copy":16096,"}:":16097,"ĠBat":16098,"Ġconverted":16099,"eding":16100,"placement":16101,"ĠHost":16102,"Sound":16103,"им":16104,"Ġsought":16105,"mid":16106,"Ġsalary":16107,"ogg":16108,"âĦ¢":16109,"bul":16110,"Ġwir":16111,"validator":16112,"_STAT":16113,".store":16114,"ĠBattle":16115,"ın":16116,"Ġ-->ĊĊ":16117,"Trump":16118,"dot":16119,"ĠCONT":16120,".fetch":16121,"Ġcontinu":16122,"was":16123,"Ġfraud":16124,"_tmp":16125,"mitter":16126,".pictureBox":16127,"GA":16128,"Ġtournament":16129,".Input":16130,"[r":16131,"exion":16132,"centage":16133,"ĠKorean":16134,"undef":16135,"ĠAvailable":16136,"reshape":16137,"Ġkit":16138,"ĠStruct":16139,"ĠSUB":16140,"Answer":16141,"_lib":16142,".twitter":16143,"Ġore":16144,"ĠDragon":16145,".Ext":16146,",k":16147,"Ġexplanation":16148,"refs":16149,"ĠDrive":16150,"ĠTraining":16151,".Has":16152,"intage":16153,"big":16154,"ologist":16155,"ennis":16156,"Ùĩ":16157,"Ġchicken":16158,"ĠĠĠĠĠĠĠĠĠĠĊ":16159,"çĽ":16160,"ãģ§":16161,"Ġpeak":16162,"Ġdrinking":16163,"Ġencode":16164,"ĠNEW":16165,"malloc":16166,"ĉfprintf":16167,"Ġ=================================================================":16168,"including":16169,"Ġprinciples":16170,"ĠMah":16171,"storage":16172,"-key":16173,"Ġkeyword":16174,"%;":16175,"Ġtrained":16176,".contrib":16177,"Ġkv":16178,"__':Ċ":16179,"ĠBoy":16180,"parameter":16181,"Ġsuite":16182,"Ġthousand":16183,"Ġcoordinate":16184,"-generated":16185,"íķĺ":16186,"generated":16187,"Ġadmitted":16188,"Ġpussy":16189,"#w":16190,"Ġswim":16191,"union":16192,"Na":16193,"ĠRoyal":16194,".channel":16195,"Updated":16196,"_ROOT":16197,"Ġvital":16198,"raction":16199,"ĠCrusher":16200,"Ġpreced":16201,"Ġhorizontal":16202,"Blueprint":16203,"Ġattrs":16204,"Ġsmoke":16205,"ÐĴ":16206,".Equals":16207,"FB":16208,"ĠResources":16209,"rolling":16210,"Ġpasses":16211,"ĠNum":16212,"rotate":16213,"etype":16214,"\\\",":16215,"Ġsensitive":16216,"Ġtall":16217,"?âĢĿĊĊ":16218,"Proxy":16219,"iy":16220,"_section":16221,"âĢĶâĢĶâĢĶâĢĶ":16222,"brid":16223,"Ġcircuit":16224,"atan":16225,"ENC":16226,"Ġdriven":16227,"Ġvoted":16228,"Ġeducational":16229,"Ġinteraction":16230,"abetes":16231,"Ġtone":16232,"ĠInitializeComponent":16233,"Ġmerely":16234,"Ġìŀ":16235,"cookie":16236,"_div":16237,"ĠUILabel":16238,"vely":16239,"});čĊ":16240,"_ENT":16241,"#+#+":16242,"articles":16243,"ĠSouthern":16244,"Ġstronger":16245,"ĠGiven":16246,"ĠEric":16247,"ĠIR":16248,"abstract":16249,"Under":16250,"nable":16251,"Ġincrement":16252,"oven":16253,"Ġcoin":16254,"_timer":16255,"Ġsuffered":16256,"ĠFREE":16257,"'].\"":16258,"ĠQueen":16259,"stats":16260,"Ġmeetings":16261,"Ġentering":16262,"Ġalongside":16263,"(session":16264,"itals":16265,"Ġfoundation":16266,"ĠCredit":16267,".div":16268,"_ALL":16269,"pcion":16270,"_stat":16271,"icking":16272,"Defaults":16273,"_src":16274,"Ġoutputs":16275,"/B":16276,"Ġenthus":16277,"-bl":16278,".ForeColor":16279,"ĉtemp":16280,"Face":16281,"Ġinteract":16282,"Ġweird":16283,"Mount":16284,"rell":16285,"udents":16286,"Ġrequirement":16287,"ĠSus":16288,"IER":16289,"Ġelected":16290,"reference":16291,"ĠME":16292,"Ġservers":16293,".wait":16294,"Ġsnapshot":16295,"ilton":16296,"Ġtries":16297,"Ġtipo":16298,".Time":16299,">w":16300,"Ġmountain":16301,"Ġpounds":16302,"Ġ[...":16303,"exists":16304,"ĠngOn":16305,"_MAP":16306,"Ġflying":16307,"xiety":16308,"ĉvalue":16309,"_DB":16310,"uno":16311,"Ġseats":16312,"TURN":16313,".author":16314,"!)":16315,"orce":16316,"Ġindicated":16317,".sin":16318,"Ġassignment":16319,"imiento":16320,"ĠFrame":16321,"_gen":16322,"inery":16323,"_)":16324,"messages":16325,".settings":16326,"ĠMean":16327,"ĠMuseum":16328,"irq":16329,"attach":16330,"ĠPalestin":16331,"_QU":16332,"_tags":16333,"Ġcasual":16334,"emen":16335,"ASSWORD":16336,"$s":16337,"ĠCirc":16338,"ой":16339,"etric":16340,"/P":16341,"Ġepoch":16342,"The":16357,"ĠAk":16358,"Ġgrass":16359,"/*čĊ":16360,"(dis":16361,"Ġguns":16362,"Ġtb":16363,"ĠKevin":16364,".args":16365,"ĠAh":16366,"oped":16367,"(J":16368,"columns":16369,"arguments":16370,"ĠWithEvents":16371,"_full":16372,"ĠDefense":16373,"Simple":16374,"Ġdeaths":16375,"Ġextensive":16376,"ĠStill":16377,"ĠExpression":16378,"ĠAgency":16379,"Ġperforming":16380,"FX":16381,"Ġusuario":16382,"UAL":16383,"Side":16384,"odos":16385,"aptop":16386,"Ġcredentials":16387,"_cap":16388,"atient":16389,"ĠDisney":16390,"Ġai":16391,"Ġchip":16392,"Ġvolt":16393,".makeText":16394,"%%%%%%%%%%%%%%%%":16395,"Ġbelief":16396,"_LOC":16397,"ĠCivil":16398,"Navigation":16399,"Ġreveal":16400,"Ġviolent":16401,"ĠFil":16402,"Ġcatalog":16403,"emed":16404,"scan":16405,".control":16406,"Ġconstitution":16407,"Country":16408,"Separator":16409,"_APP":16410,"topic":16411,"uetooth":16412,"MIN":16413,"Ġdescriptor":16414,"yt":16415,"ETHER":16416,"Ġdistribute":16417,"'}Ċ":16418,".trim":16419,".Line":16420,"Ġlbl":16421,"assertEquals":16422,"ĠDet":16423,"ombok":16424,"(width":16425,"Ġtort":16426,"ĠEXPRESS":16427,"aco":16428,"Using":16429,"ĠBrand":16430,"wall":16431,"EMENT":16432,"ĠCommunic":16433,"(Ċ":17055,"?>\"":17056,"Ġ///Ċ":17057,"Ġeiner":17058,"Ġweekly":17059,"ĉlogger":17060,"_pop":17061,"_man":17062,"Ġmigrations":17063,"Ġasks":17064,"Ġbs":17065,"Ġfalls":17066,".Where":17067,"-height":17068,"_feature":17069,".Min":17070,"Ġhyper":17071,"Ġvolatile":17072,"Ġtwenty":17073,"Typography":17074,"Unable":17075,"Det":17076,",f":17077,"-mod":17078,"Ġsettlement":17079,"Ġcontracts":17080,"nome":17081,"Bad":17082,"ĠBrian":17083,"(username":17084,"!!!!":17085,"Ġhack":17086,".Field":17087,"HR":17088,"ĠJordan":17089,"iza":17090,"ĠÂł":17091,"ĠSher":17092,".header":17093,"(other":17094,"ĠDub":17095,"(op":17096,"ĠRound":17097,"Ġvie":17098,"Ġappl":17099,"ĉJ":17100,"ĠInsert":17101,"ĠLP":17102,"regon":17103,"ĠMPI":17104,"Ġanchor":17105,"aca":17106,"ør":17107,"Ġade":17108,"anchor":17109,"quee":17110,"ĠTreeNode":17111,"Ġtargeted":17112,"Ġlaid":17113,"ABEL":17114,"vet":17115,"ĠOrigin":17116,"Ant":17117,".');Ċ":17118,"expect":17119,"edReader":17120,"ĠMajor":17121,"Ġinch":17122,"Compar":17123,"Ġpreview":17124,"Ġillness":17125,"ĠCONTRACT":17126,"ĠIndepend":17127,"uuid":17128,"Ġnome":17129,"Ġtc":17130,"ĠAvenue":17131,"isan":17132,"Ġphrase":17133,"_move":17134,"\")[":17135,"Ġprovision":17136,"Ġconcentr":17137,"_IR":17138,"ĠUt":17139,"()+":17140,"Ġnas":17141,"!,":17142,"ĠRobin":17143,"iations":17144,"atitude":17145,"Ġpx":17146,"ĠWithout":17147,"/bash":17148,"ekt":17149,"reement":17150,"Observer":17151,"ĠRegion":17152,"UBLIC":17153,"Ġ{//":17154,"KN":17155,"å·":17156,"GameObject":17157,"å¾":17158,"encoding":17159,"Ġ***":17160,"projects":17161,"Ġtk":17162,"Ġcheese":17163,"EMPL":17164,"aro":17165,"ĠاÙĦ":17166,"Ġconsists":17167,"refresh":17168,"ureau":17169,"ĠScanner":17170,"Ġsoil":17171,"Ġflavor":17172,"DataSource":17173,"Execute":17174,"ение":17175,"Ġshit":17176,"åĪĨ":17177,"Ċ":17419,"Ġsubsequent":17420,"posable":17421,"-fluid":17422,"Ġthorough":17423,"Ġpublicly":17424,"apters":17425,"ĠWilson":17426,"_PRE":17427,"yard":17428,"ä¼":17429,"ĉin":17430,"Ġrevers":17431,"Ġbullet":17432,"cribed":17433,"nesota":17434,"Ġ($_":17435,"annon":17436,"cursor":17437,"Ġclothing":17438,"ĠMulti":17439,":',":17440,"Ġvess":17441,"ordinator":17442,"Ġeinem":17443,"Cannot":17444,"Ġarmed":17445,"ĉV":17446,"ä¸Ĭ":17447,".Flat":17448,"ĠSep":17449,"ĠSubject":17450,"_font":17451,"Ġcharacteristics":17452,"Done":17453,"eln":17454,"############":17455,"POS":17456,"Ġdensity":17457,"ĠPlatform":17458,"-items":17459,"Ġovers":17460,"Ġpushing":17461,"ç¤":17462,".Connection":17463,"_term":17464,"Ġinitialization":17465,"________________________________":17466,"ç¬":17467,".document":17468,"lesh":17469,"ĉdocument":17470,"ĠPin":17471,"ça":17472,"Ġdefinitions":17473,".Path":17474,"_WRITE":17475,"ĠĉĊ":17476,"?>ĊĊ":17477,"Ġterrible":17478,"bean":17479,"ickets":17480,"ĠSV":17481,"Buy":17482,"(task":17483,"Ġregime":17484,"google":17485,"Ġcrack":17486,".visit":17487,"NUM":17488,"energy":17489,"Ġstruck":17490,"_sample":17491,".payload":17492,"Ġrevis":17493,"ĠScene":17494,"Ġpg":17495,"Ġbreakfast":17496,"URRENT":17497,".charAt":17498,"_exception":17499,"ĠAnton":17500,"Ġguidelines":17501,"Ġexhaust":17502,"ĠFinancial":17503,"Ġindent":17504,"Ġdesktop":17505,"Hidden":17506,"Failure":17507,"Ġprinciple":17508,"Ġiv":17509,"Ġseks":17510,"network":17511,"ĠnumberOf":17512,"ĠAlbert":17513,"ĉlong":17514,",.":17515,"Ġzeros":17516,"fade":17517,"ĠTyp":17518,"ĠTerm":17519,"ĠArts":17520,".Application":17521,"Ġbehalf":17522,"æĪ·":17523,"Ġmere":17524,"(`${":17525,"Ġawareness":17526,"elpers":17527,"flix":17528,"Ġweigh":17529,"Ġestimates":17530,".child":17531,"/O":17532,"ĠBitmap":17533,".bottom":17534,"Ġ**************************************************************************":17535,"Expect":17536,"ento":17537,"ĠForum":17538,"veral":17539,"Ġjail":17540,"Ġabilities":17541,"ĠHOLD":17542,"ĠCit":17543,"Ġdynam":17544,"Ġgray":17545,"ĉĉĉĉĉĉĉĉĉĉĉĉĉ":17546,".nextInt":17547,"antly":17548,"ĠARISING":17549,"(private":17550,"Ġrejected":17551,"ĠNic":17552,"Ġleather":17553,"={Ċ":17554,"alytics":17555,"thetic":17556,".Top":17557,".Page":17558,"={`":17559,"Ġ;čĊ":17560,"depth":17561,"mann":17562,"WD":17563,"ĠSom":17564,".Right":17565,"Ġ)}Ċ":17566,"Ġtrait":17567,"ÃĹ":17568,"iac":17569,"Ġrv":17570,"Sample":17571,".Xml":17572,"opped":17573,"ĠÑĦ":17574,"lists":17575,"Ġtear":17576,"iversary":17577,".collection":17578,"ĠConstitution":17579,"ĠHttpResponse":17580,"Ġbrill":17581,"ĠProm":17582,"hover":17583,"ĠMiami":17584,"Ġargue":17585,"_float":17586,"ĠãĤ":17587,"Ġnat":17588,"ĠTal":17589,"Ġintegration":17590,"(cur":17591,"Ġremoving":17592,"Ġcoeff":17593,"ĠThough":17594,"Ġforecast":17595,"ĠVegas":17596,"Site":17597,"Ġtrab":17598,"ĠHenry":17599,"-i":17600,"Ġinvolves":17601,"BT":17602,"Ġslo":17603,"Invoke":17604,"Ġlucky":17605,"rat":17606,"Ġ?Ċ":17607,"Ġhandled":17608,"(fd":17609,"contents":17610,"ĠOFF":17611,"RF":17612,"Ġsty":17613,"ĠMotor":17614,"tery":17615,"tax":17616,"MAP":17617,"ĠMrs":17618,"Ġphones":17619,"ĠUIView":17620,"\")));Ċ":17621,"(dev":17622,"ĠIrish":17623,"Ġws":17624,"DI":17625,"_OFFSET":17626,"ĠEvents":17627,"Ġstages":17628,"Ġ}//":17629,"Ġhaben":17630,"STANCE":17631,"ĠSin":17632,"ĠMoney":17633,"(top":17634,"Ġappointment":17635,"VERSION":17636,"metadata":17637,"_comment":17638,"Ġcolleagues":17639,"maps":17640,"âĺ":17641,"ĊĉĊ":17642,"(al":17643,"_req":17644,"Ġfut":17645,"Ġarchitecture":17646,"ĠWHETHER":17647,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":17648,"_screen":17649,"ĠstyleUrls":17650,"Ġmonster":17651,".up":17652,"phia":17653,"Ġprocessor":17654,"ĠTerr":17655,"=',":17656,"ĠManufact":17657,"ĠNT":17658,"kel":17659,"ibern":17660,"ĉfile":17661,"Ali":17662,"rientation":17663,"Ġ//!":17664,"apore":17665,"aneous":17666,"ĠCreat":17667,"folder":17668,"Ġhay":17669,"Suppress":17670,"(left":17671,"Ġeuro":17672,"Ġdisclaimer":17673,"ustry":17674,"ships":17675,"_fd":17676,"ĠFa":17677,"_insert":17678,"Ġrol":17679,"ifting":17680,"ĠComments":17681,"_br":17682,"Ġlosses":17683,"ĠAdded":17684,"charg":17685,"Ġпо":17686,"_system":17687,"ĠSometimes":17688,"ĠSpain":17689,"(group":17690,"ialis":17691,"Ġdollar":17692,"ĠArgs":17693,"quires":17694,"ĠTen":17695,".scss":17696,"Ġsurvive":17697,"usage":17698,"Ġjun":17699,"imiter":17700,"ï¼ģĊĊ":17701,"Ġfifth":17702,"toggle":17703,"Ġdecline":17704,"($\"":17705,"(Long":17706,"inge":17707,"Ġpilot":17708,"-light":17709,"-radius":17710,"Ġpodcast":17711,"Ġnaturally":17712,"Pages":17713,"为":17714,"ĠDespite":17715,"Ġlighting":17716,"Ġcrate":17717,"ĠBinary":17718,"Ġreducing":17719,"Ġeleg":17720,"ĠMouse":17721,"ĠTestBed":17722,"ĠbeforeEach":17723,"_ARRAY":17724,"Redirect":17725,"Ġflood":17726,"Ġships":17727,"Ġelectricity":17728,")*(":17729,"ê¸":17730,"ĠViet":17731,"hero":17732,"Ġdia":17733,"ĠKent":17734,"heart":17735,"Ġthreats":17736,"_acc":17737,"Ġsymbols":17738,"ischen":17739,"_inst":17740,"Criterion":17741,"ĠTIM":17742,".Height":17743,"ĠâĢĻ":17744,"();ĊĊĊ":17745,"Products":17746,"_SP":17747,"ĠCy":17748,"Ġdependent":17749,"este":17750,"Ġdatos":17751,"dit":17752,"ав":17753,"IGNAL":17754,"Ġlesson":17755,"\">'":17756,"ĠCover":17757,"ĠHope":17758,"ĠTimer":17759,"Ġdad":17760,"viders":17761,"ĠPhot":17762,"/?":17763,"ropy":17764,"oming":17765,"asion":17766,"Ġ\\(":17767,"ĠET":17768,"ĠReading":17769,"Ġepisodes":17770,"lm":17771,"echa":17772,"Ġneuro":17773,"Ġharmon":17774,"Ġliberal":17775,"-ind":17776,"DATA":17777,"Ġeveryday":17778,"Ġdivided":17779,"ĠActiveRecord":17780,"figure":17781,"UA":17782,"ä¹":17783,"riendly":17784,"tech":17785,".gameObject":17786,"иÑĤÑĮ":17787,"Ġmoon":17788,"ftime":17789,"Ġnoch":17790,"ĠTORT":17791,"ĠVM":17792,".initial":17793,"(child":17794,"Ġmusical":17795,"Ġoc":17796,"bas":17797,"ĠHay":17798,"_long":17799,"Ġmemset":17800,"iley":17801,"adelphia":17802,"SV":17803,"roat":17804,"_tx":17805,"Ġlon":17806,"ĠngOnInit":17807,"bp":17808,"ĠGolden":17809,"ACHE":17810,"Ġworried":17811,"azi":17812,"Ear":17813,"Take":17814,"(fp":17815,"burgh":17816,"_Data":17817,"gres":17818,"ĠOnt":17819,"pus":17820,"Ġtransparent":17821,"Ġpocket":17822,"Ġram":17823,"igrations":17824,".čĊčĊ":17825,"Ġ[(":17826,"Ġadopted":17827,"Ġreportedly":17828,"ĠDream":17829,"Ġ}));Ċ":17830,"losing":17831,"Ġteeth":17832,"ĠBooks":17833,"\",&":17834,"enny":17835,"LEMENT":17836,"Ġgel":17837,"ĠPlant":17838,"!âĢĿ":17839,".host":17840,"ĠReply":17841,"rength":17842,"Ġrecognition":17843,"Ġ}}>Ċ":17844,"LA":17845,"Ġmirror":17846,"Ġassistant":17847,"(device":17848,"Ġspiritual":17849,"builder":17850,"§":17851,"Ġoutr":17852,"Ġtt":17853,"ĠPER":17854,"Ġradical":17855,"Methods":17856,"Ġpace":17857,"udy":17858,"Ġgut":17859,"ĠGreek":17860,"Ġnonatomic":17861,"ĠPaper":17862,"_GPIO":17863,"Ġobst":17864,".Ad":17865,"vironments":17866,"ĠSov":17867,"(con":17868,"ĠTransaction":17869,".assign":17870,"ĉcatch":17871,"elter":17872,"Ġbitcoin":17873,"_GR":17874,"ĠčĊ":17989,"metic":17990,"Ġtransformation":17991,"åı·":17992,"Ġrgb":17993,"istributions":17994,"Ġimplicit":17995,"/in":17996,"destination":17997,"аÑĤÑĮ":17998,"Zero":17999,"Ġunset":18000,".where":18001,".go":18002,"Ġformation":18003,"Ġdeclaration":18004,"()čĊčĊ":18005,"ĠExpl":18006,"ĉĉĉĠĠ":18007,"/pro":18008,".JSON":18009,"Ġdesk":18010,".substr":18011,"//----------------------------------------------------------------------------":18012,"lyn":18013,"pson":18014,"disable":18015,"ĠFunc":18016,"ĉAssert":18017,"ĠMARK":18018,"Ġdefeat":18019,"Ġblind":18020,"Ġconstants":18021,".headers":18022,"UILD":18023,"Ġexpenses":18024,"Pixel":18025,"Ġhr":18026,"Ġfel":18027,"ĠEastern":18028,"_del":18029,"ĠCub":18030,"Ġsq":18031,"ĉcount":18032,"ĠDirectory":18033,"Ġexclus":18034,"Ġhistoric":18035,"Ġ------------------------------------------------":18036,"Ġcomposition":18037,"ĠdataGridView":18038,"ĠBurn":18039,"ĠBC":18040,"Master":18041,"Ġspawn":18042,"Ġbearing":18043,".SetActive":18044,"ilo":18045,"Ġgallery":18046,"Ġfounded":18047,"Ġavailability":18048,".sqrt":18049,"Ġpes":18050,"ĠDOM":18051,"mate":18052,"Oct":18053,"Ġmatched":18054,"itivity":18055,"Ġanxiety":18056,".price":18057,"ĠInstant":18058,"ìĬ":18059,"Ġtut":18060,"ICollection":18061,".shared":18062,"_sql":18063,"tbl":18064,"library":18065,"_destroy":18066,"ermal":18067,"ĠNotes":18068,"ĠEin":18069,"Ġsouthern":18070,"ĠOTHERWISE":18071,"Ġmacro":18072,".lower":18073,"cls":18074,"ContentView":18075,".link":18076,"constant":18077,"ĠBes":18078,"Ġsomebody":18079,"nb":18080,"\">{":18081,"(local":18082,".....":18083,"ĠNull":18084,"mx":18085,"Ġç":18086,"Ġpause":18087,"-----------":18088,"_MO":18089,"ĠCM":18090,"ĠforKey":18091,"ĠDVD":18092,"Ġclosest":18093,"_DEVICE":18094,"ĠStephen":18095,"ĠBBC":18096,"ĠTravel":18097,"Paint":18098,"ĠResults":18099,"ĠRule":18100,"Ġtp":18101,"Ġratings":18102,"cin":18103,"csv":18104,">/":18105,"ĠGOP":18106,"lad":18107,"ĠÑĢ":18108,"ĠindexPath":18109,"matrix":18110,"=f":18111,"arsed":18112,"Ġ});":18113,"ĠCos":18114,"ĠScore":18115,"Ġtak":18116,"ĠESP":18117,"ĠINC":18118,"_NULL":18119,"-flex":18120,"\"][":18121,"into":18122,"eland":18123,"Authorization":18124,"_FALSE":18125,"Ġgate":18126,"Ġvid":18127,"istent":18128,"TIME":18129,"Ġrewrite":18130,"Ġtie":18131,"Ġarchive":18132,".events":18133,".getParameter":18134,"ĠPermission":18135,"Ġprogramme":18136,"Ġé":18137,"jud":18138,"Ġcameras":18139,"(sys":18140,"ĠSyrian":18141,"Ġimprovements":18142,"Ġhip":18143,"Ġsuicide":18144,"Ġscholar":18145,"Ġcompatible":18146,"remote":18147,".down":18148,"FUNCTION":18149,"Ġmanaging":18150,"ĠUIKit":18151,".raw":18152,">>>>":18153,"Ġdemands":18154,"ellite":18155,"Ġdent":18156,"ĠMicro":18157,"åıĸ":18158,"'][$":18159,"ĠIE":18160,"imension":18161,"Ġtrem":18162,"Ġgained":18163,".with":18164,".ok":18165,"hou":18166,"Ġbom":18167,"ampaign":18168,"Ġjoining":18169,"fish":18170,"ĠaddSubview":18171,"Ġnorthern":18172,".cor":18173,"oret":18174,"Die":18175,"inish":18176,"_comp":18177,"Ġattended":18178,"Ġcollapse":18179,"ĠSS":18180,"acent":18181,"_EQUAL":18182,"ĠDeep":18183,"RGB":18184,"ĉtest":18185,"olves":18186,"uset":18187,"UnityEngine":18188,"writer":18189,"Resolver":18190,",%":18191,"ifference":18192,"_remove":18193,"onda":18194,"Ġfemme":18195,"decode":18196,"Branch":18197,"Ġflush":18198,"Ġinnovative":18199,"Tests":18200,"Ġ['./":18201,"Ġcovering":18202,".admin":18203,"ultipart":18204,"(lambda":18205,"namespace":18206,"ĠSport":18207,"Ġ!(":18208,"acles":18209,"Ġdepression":18210,"ĠKong":18211,"Ġpert":18212,"ĠConn":18213,"ĠOtherwise":18214,"/home":18215,"supported":18216,"Ġpink":18217,"Ġinvited":18218,"ños":18219,"_enabled":18220,"Ġ-Ċ":18221,"FW":18222,"eners":18223,"ĠMY":18224,"Ġsuggestions":18225,"Canvas":18226,"Ġfer":18227,"ĠMarketing":18228,"@Test":18229,"untu":18230,"ĠVen":18231,"ĠCou":18232,"ivals":18233,"Donald":18234,"limited":18235,"ĉĉĉĉĉĉĊ":18236,"Ġanalyst":18237,"(entry":18238,"Ġrepresentative":18239,"_attributes":18240,"Ġfur":18241,".hide":18242,"resp":18243,"adores":18244,"rides":18245,"ĠJosh":18246,"robot":18247,"ĠNAT":18248,"Ġsesso":18249,"Ġintegrated":18250,":true":18251,"parts":18252,"Ġstupid":18253,":event":18254,"@endsection":18255,"Ġpu":18256,".Table":18257,"ĠYii":18258,"`;ĊĊ":18259,"Ġclang":18260,"=\"\">":18261,"engan":18262,"_parameters":18263,".internal":18264,"ĠModern":18265,"Ġmetric":18266,"Ġsemi":18267,"={{Ċ":18268,".amazon":18269,"ĠBB":18270,"ainty":18271,"viewport":18272,"ĠstartActivity":18273,"dispatch":18274,"*****":18275,"Ġflav":18276,"ifferent":18277,"[this":18278,"Ġstake":18279,"Ġargued":18280,"viously":18281,".work":18282,"ĠOak":18283,"Old":18284,"(async":18285,"notes":18286,"Ġflip":18287,"Ġdisag":18288,"ĠTE":18289,"ĉerror":18290,"<'":18291,"Ġ»ĊĊ":18292,"Ġfiltered":18293,"ĠMach":18294,"Ġhung":18295,"_dump":18296,"_samples":18297,"-dismiss":18298,"Ġray":18299,"Implemented":18300,"DK":18301,"Ġjed":18302,"Ġbreaks":18303,"Ġfits":18304,".gr":18305,"ĠZero":18306,"oro":18307,"Ġequally":18308,"Ġ'[":18309,"Ġconcerning":18310,"<":18407,"Ġpromot":18408,"Ġincl":18409,"_only":18410,"를":18411,"ĠAttorney":18412,"-date":18413,"Ġlandscape":18414,"Ġfu":18415,"SY":18416,".prop":18417,"ĠArr":18418,"pag":18419,"ParallelGroup":18420,"':čĊ":18421,"Ġlogs":18422,"aunch":18423,"unci":18424,"nama":18425,"TableCell":18426,"issues":18427,".{":18428,"ecurity":18429,"_exec":18430,"olds":18431,"Ġhosts":18432,"Ġproto":18433,"_import":18434,"_sort":18435,"ĠBow":18436,"ĠNormal":18437,"ĠFarm":18438,".createParallelGroup":18439,"Rotation":18440,".err":18441,"Ġpleased":18442,"itage":18443,".Wh":18444,"ĉĉĠĠĠĠ":18445,"MR":18446,"ĠMORE":18447,"ĠNatural":18448,"_transform":18449,"BASE":18450,"eneral":18451,"utdown":18452,".commons":18453,"WT":18454,"Ġaan":18455,".Result":18456,"dog":18457,"Ġclicking":18458,"),ĊĊ":18459,"#line":18460,"Operator":18461,"Ġciv":18462,"Ġmerg":18463,"obuf":18464,"ngthen":18465,"Ġ[{":18466,"Ġcancell":18467,"trigger":18468,".:":18469,"WORK":18470,"declare":18471,"Ġdecrease":18472,"ÅĽci":18473,"loom":18474,".None":18475,"ĠMI":18476,"ĠJason":18477,"Ġhealthcare":18478,"iamond":18479,"sylvania":18480,"*x":18481,"ĠRa":18482,"[b":18483,"Ġprinting":18484,"phabet":18485,"ĠLabour":18486,"opper":18487,"Ġzijn":18488,"-target":18489,"_FUNCTION":18490,"Ġoct":18491,"ениÑı":18492,"åľ¨":18493,"Ġwestern":18494,"Ġcomputers":18495,"ĠRET":18496,"HashMap":18497,"[String":18498,"getValue":18499,"_DATE":18500,".Next":18501,"ĠFif":18502,"él":18503,"icked":18504,"æİ":18505,"-MM":18506,"Ġ{ĊĊĊ":18507,"Ġcontacts":18508,"Ġdigits":18509,"Produ":18510,"Ġunusual":18511,"Ġrapidly":18512,"tures":18513,"Ġangry":18514,"cancel":18515,"xxxx":18516,"_parser":18517,"idity":18518,"_PREFIX":18519,"Ġmehr":18520,"Ġrarely":18521,"ethe":18522,"opes":18523,"Ġ%.":18524,"works":18525,"Ġtheta":18526,"Ġcontribution":18527,"ĠTony":18528,"Ġsquad":18529,"ай":18530,"Ġîn":18531,"there":18532,"outed":18533,"ĉq":18534,"ĻĤ":18535,"good":18536,"LI":18537,"页":18538,"ĠLiving":18539,"izabeth":18540,"Ġkt":18541,"ĠDallas":18542,"]],Ċ":18543,"Ġ/>ĊĊ":18544,"Ġraising":18545,"/router":18546,"_game":18547,"ĠCUR":18548,"zens":18549,".es":18550,"ĠfontWeight":18551,"(func":18552,"notification":18553,"Ġ'../../../":18554,"Ġblame":18555,"ãĢĤĊĊĊĊ":18556,"anco":18557,"Identity":18558,"follow":18559,"Ġarts":18560,"xs":18561,"Ġofficially":18562,"ĠStudio":18563,"Ġrecommendations":18564,"Ġlocale":18565,"Ġamateur":18566,"ĠEnable":18567,"Ġcaps":18568,".End":18569,"-add":18570,"_gshared":18571,"ĠCT":18572,"Force":18573,"ĊĠĠĠĠĠĠĠĠĠĠĠĠĊ":18574,"Ġorange":18575,"Ġlp":18576,"Ġanswered":18577,".Grid":18578,"Ġdual":18579,"Ġstrategic":18580,"Ġnobody":18581,"Ġfatal":18582,"_est":18583,"(el":18584,"Ġìł":18585,"ĠBudd":18586,"AIT":18587,"_factor":18588,"-one":18589,"ĠHAVE":18590,"\"čĊčĊ":18591,"Prof":18592,"Ġär":18593,"strings":18594,"Ġdirty":18595,"ĠFace":18596,"ĠBegin":18597,"ĠBus":18598,"Ġwis":18599,"åŃĹ":18600,"Ġspeaker":18601,"Ġcarrier":18602,"ĠOm":18603,"Ġhadn":18604,"Allow":18605,"::__":18606,"Ġverb":18607,"ĠComplete":18608,"ĠEasy":18609,"Ġbills":18610,"ĠĠĊĊ":18611,"Vertical":18612,"Ġpron":18613,"ĠDefine":18614,"Ġlookup":18615,"variables":18616,"Ġpandas":18617,"umes":18618,"Ġinnoc":18619,"ĠsetUp":18620,"ĠChampionship":18621,"artist":18622,"ĠCType":18623,"Foundation":18624,"à¹Ī":18625,"ĠSetup":18626,"Ġrecipes":18627,"ĠUIColor":18628,"ĠFight":18629,"Ġauthorized":18630,"_click":18631,"_success":18632,"angan":18633,"ĠMountain":18634,"ĠDoctor":18635,"Ġegg":18636,"ĠMedicine":18637,"cles":18638,"`.Ċ":18639,"[int":18640,"dashboard":18641,"ĠAppro":18642,"-dr":18643,"Ġproduces":18644,"Ġrental":18645,"Ġreload":18646,"Ġarrival":18647,"spot":18648,"Ġundert":18649,"Ġequipped":18650,"Ġproved":18651,"Ġcenters":18652,"Ġdefines":18653,"also":18654,"Ġopacity":18655,"ĠUnfortunately":18656,"ĠIllinois":18657,"Ġне":18658,"ĠTemple":18659,"ĠTrail":18660,"ĠKelly":18661,"Ġmeasurement":18662,"Ġseparated":18663,"-circle":18664,"Hey":18665,"ĠREAD":18666,"igits":18667,"Ġib":18668,"ĠMOD":18669,"attery":18670,"аз":18671,"Ġvend":18672,"енÑĤ":18673,"ĠHttpClient":18674,"safe":18675,"_ASS":18676,"icit":18677,"ĠConstruct":18678,"ĠClo":18679,"ĠSix":18680,"_TOKEN":18681,"(block":18682,"Ġwarned":18683,"/*!":18684,"!Ċ":18769,"Ġinnovation":18770,"_\"":18771,"Ġ);čĊčĊ":18772,"Ġspots":18773,"Ġchoosing":18774,".cs":18775,"Ġflexible":18776,"UInt":18777,"Ġscratch":18778,"-al":18779,"Ġfestival":18780,"Ġoutstanding":18781,"================================================":18782,"Mean":18783,"ĠOregon":18784,"symbol":18785,".account":18786,"dney":18787,"'''":18788,"!\",":18789,"Ġparticle":18790,"Ãĥ":18791,"[MAX":18792,"IVER":18793,"ERENCE":18794,"NSMutable":18795,"ĠColumbia":18796,"_ĊĊ":18797,".fr":18798,"Ġcogn":18799,"VR":18800,"ĠMethods":18801,"ĠMade":18802,"ĠBR":18803,"ĠElse":18804,"Ġeggs":18805,"Ġswing":18806,"ĠInv":18807,"Ġdiseases":18808,"Ġfirms":18809,"Ġlemma":18810,"}`);Ċ":18811,"lings":18812,"Ġgym":18813,"uminum":18814,".Trim":18815,"Mem":18816,"Ġcriticism":18817,"ibernate":18818,"_TX":18819,"ioni":18820,"Ġguidance":18821,"Ġrepeatedly":18822,"Ġsupplier":18823,"Ġpainting":18824,".Fragment":18825,"edException":18826,"Ġwiring":18827,"Ġcourts":18828,"WEB":18829,"æľī":18830,"\\.":18831,"illance":18832,"Ġbrows":18833,"ĠPattern":18834,"PLICATION":18835,"ĠSummer":18836,"Chain":18837,"Ġcute":18838,"mercial":18839,"Ġdil":18840,"ĠFranklin":18841,"ĉglobal":18842,"INCLUDING":18843,"history":18844,"Ġlst":18845,"Qt":18846,"SDL":18847,"alia":18848,"iere":18849,"(...":18850,"ĉcin":18851,"iffs":18852,"velope":18853,"ĠRoot":18854,"cluster":18855,"UserName":18856,"igne":18857,"()Ċ":18949,"Ġapplying":18950,"Ġpromised":18951,"Ġox":18952,"ncia":18953,"ĠValidation":18954,"orts":18955,"_cur":18956,"elect":18957,"eye":18958,"(Data":18959,"Ġreporter":18960,"ĠBuff":18961,"Ġsr":18962,"Ġ\";":18963,"icky":18964,"Ġtempor":18965,"SN":18966,"Ġresident":18967,"pires":18968,"ysical":18969,"Ġendorse":18970,"ĠSong":18971,"isEmpty":18972,"leet":18973,"_util":18974,"Ġdistingu":18975,"ĠTalk":18976,"ĠMot":18977,"(default":18978,".Arg":18979,"gorithms":18980,"_words":18981,"immer":18982,"_reset":18983,"family":18984,"WW":18985,"Ġsavings":18986,"ĠâĢĿ":18987,"_enable":18988,"sidebar":18989,"Running":18990,"Ġali":18991,"Ġtestim":18992,"Ġwarnings":18993,"ĠChem":18994,"ĠExit":18995,"Ġfounder":18996,"pector":18997,"Ġrm":18998,"_dataset":18999,"ĠDas":19000,"Ġhan":19001,"Getty":19002,"ál":19003,"Ġny":19004,"Ġpoverty":19005,"Ġresulted":19006,".by":19007,"ĠVisit":19008,"Ġobtaining":19009,"/'.$":19010,"ĠĠĠĠĠĠĠĠĠĠĠĊ":19011,"shall":19012,"_LEFT":19013,"UIImage":19014,"_Name":19015,"have":19016,"ĠNob":19017,"lr":19018,"-footer":19019,"Ġnaked":19020,"ĠGarden":19021,"\\Facades":19022,"Ġgraduate":19023,"Ġfranchise":19024,"plane":19025,"Ġcontributions":19026,"ĠstringWith":19027,"Ġcrypto":19028,"Ġmovements":19029,"athers":19030,"Ġlifetime":19031,"Ġcommunicate":19032,"jar":19033,"ĠFragment":19034,"_IF":19035,"ĠNavy":19036,"ĠFigure":19037,"Ġsimulation":19038,"_stop":19039,"Ġreporters":19040,"Ġversus":19041,"aja":19042,"Ġα":19043,"Ġgovernor":19044,"ListItem":19045,"Ġsealed":19046,".Background":19047,"edi":19048,"ashing":19049,"Ġlip":19050,"ĠIh":19051,"merge":19052,"Ġnec":19053,"elocity":19054,"ATEG":19055,"Ġseeds":19056,"Ġfloating":19057,"_FA":19058,"walk":19059,"ĉuser":19060,"_depth":19061,"Ġwage":19062,"@app":19063,"Nil":19064,"([\"":19065,"(vector":19066,"Ġsecretary":19067,"ĠjPanel":19068,"vez":19069,"³³³³":19070,"direction":19071,"ĠEP":19072,"Ġhunt":19073,"JsonProperty":19074,"ĠPORT":19075,"]\",":19076,"ап":19077,"ĠForeign":19078,"panic":19079,"Ġtrials":19080,"ĠAle":19081,"Ġrural":19082,"-value":19083,"authorized":19084,"ĠScotland":19085,".drop":19086,"ĠMT":19087,"ç±":19088,"rowth":19089,"FilePath":19090,"Ġrecall":19091,"ifle":19092,"Ġcel":19093,"ĠSELECT":19094,"kn":19095,"_case":19096,"Ġcrop":19097,"sure":19098,"pot":19099,"ICS":19100,"Ġstem":19101,"Ġindustries":19102,"Put":19103,"Ġaber":19104,"roadcast":19105,"Icons":19106,")\")Ċ":19107,"æĪIJåĬŁ":19108,"gui":19109,"Ġassumed":19110,"Ġrx":19111,"EA":19112,"è§":19113,"ELL":19114,"Ġdose":19115,"Ġine":19116,"Ġdeeper":19117,"lider":19118,"Ġordinary":19119,"Ġgolf":19120,"_IMAGE":19121,"ĠNAME":19122,"(module":19123,"Ġatom":19124,"Ġbelt":19125,"Ġoffices":19126,"beta":19127,"Ġphilosophy":19128,"(JSON":19129,"-field":19130,"Ġintroduce":19131,"Ġconvenience":19132,"optim":19133,">\"Ċ":19134,"athy":19135,"Ġemployer":19136,"quate":19137,"Ġedited":19138,"Arguments":19139,"ĠNations":19140,"__)":19141,"Ġnose":19142,"ĠSample":19143,"')ĊĊĊ":19144,"Ġcake":19145,".getAttribute":19146,"HD":19147,"Modified":19148,"Ġpredicted":19149,"ÅĦ":19150,"anie":19151,"Sorry":19152,"(doc":19153,"wind":19154,"ieve":19155,"Ġprovisions":19156,"ATER":19157,"OTE":19158,"MY":19159,".Autowired":19160,"ĠBath":19161,".Boolean":19162,"Ġbackend":19163,".Mouse":19164,"ateral":19165,"paper":19166,"Const":19167,"ĠVR":19168,"_entity":19169,"_CTRL":19170,"ĠProtection":19171,"ĠGM":19172,"ĠStudy":19173,"Ġsoup":19174,"otime":19175,"'use":19176,"]\"":19177,"/users":19178,"aug":19179,"ĠHong":19180,"_norm":19181,"ãģ¨":19182,"Ġsecre":19183,"(Build":19184,"ĠContract":19185,"olas":19186,"Ġsauce":19187,"Ġaggressive":19188,"Ġracial":19189,"character":19190,"@@":19191,"Ġcompile":19192,"ĠVoid":19193,"_rem":19194,"_memory":19195,"kk":19196,"Ġmic":19197,"Same":19198,"Utility":19199,"ĠHtml":19200,"ĠXml":19201,"Ready":19202,"Ġgall":19203,"Ġallegedly":19204,"ĉĉĉĉĠĠĠ":19205,"ĠMetal":19206,"ĠPersonal":19207,"ĠborderRadius":19208,"rxjs":19209,"objects":19210,"Ġwanting":19211,"Ġbowl":19212,"vendor":19213,"offsetof":19214,"ĠRs":19215,"ĠRating":19216,"Ġrally":19217,"_NODE":19218,"ĠMix":19219,"Ġadvertis":19220,"Ġnarrative":19221,"sal":19222,"Ġmc":19223,"SError":19224,"Ġfingers":19225,"Ġaccompany":19226,"Ġtired":19227,"Ġstride":19228,"Ġgui":19229,"elist":19230,"Locale":19231,"Ġreleases":19232,"iking":19233,"Ġanger":19234,")))ĊĊ":19235,"allest":19236,"Summary":19237,"(O":19238,"(for":19239,"Ġbasketball":19240,"Ġroads":19241,"ĠInstall":19242,"ĠFab":19243,"itmap":19244,"Ġ))Ċ":19245,"Ġintersection":19246,"ighbor":19247,"ĠBry":19248,"ĠHERE":19249,"Software":19250,"elfare":19251,"acs":19252,"Ġtrailer":19253,".getClass":19254,"chars":19255,"Ġregulation":19256,"Ġrefers":19257,"Ġdestruction":19258,"Ġcontinuous":19259,"ĠAustin":19260,"é¢":19261,"akan":19262,".window":19263,"ĠTemplates":19264,"Ġabsence":19265,":n":19266,"Ġdisorder":19267,"flash":19268,"Ġdelet":19269,"boards":19270,"ĠĠĉ":19271,"ROP":19272,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":19273,"Ġacqu":19274,"Ġlawsuit":19275,"ĠReviews":19276,"Ġgarage":19277,"timer":19278,"Ġej":19279,"ĠRectangle":19280,"Ġflowers":19281,"ilst":19282,"ĠInstance":19283,"Super":19284,"det":19285,"disposing":19286,"ĠES":19287,"ĠIC":19288,"vere":19289,"Sk":19290,"_channels":19291,"puted":19292,"/null":19293,"nnen":19294,"ĠGallery":19295,"_global":19296,"Authentication":19297,"ĠRank":19298,"Ġblocked":19299,"Ġcalm":19300,"market":19301,"ĉval":19302,"Ġaug":19303,"period":19304,"ĠConstant":19305,"Ġ?>\">Ċ":19306,"Ġlobby":19307,"pal":19308,"Ġsink":19309,"iah":19310,"С":19311,"urname":19312,"Ġconver":19313,"Ġinvestigate":19314,"Christ":19315,"Hub":19316,"ĠIND":19317,"ĠPed":19318,"uras":19319,"ĉurl":19320,"ĠTro":19321,"Ġpreferences":19322,"Ġguaranteed":19323,"`ĊĊ":19324,"Ġportions":19325,"Ġevalu":19326,"'>;ĊĊ":19421,".AutoScaleMode":19422,"Ġcats":19423,"Ġregistry":19424,"ulus":19425,"FI":19426,"payload":19427,"-search":19428,"Ġstaying":19429,"acious":19430,"Decoration":19431,"Review":19432,"Inf":19433,"Keep":19434,"itis":19435,",String":19436,"Coord":19437,"Ġpero":19438,"Sex":19439,"ĠAtlanta":19440,"uesta":19441,"Argb":19442,">*":19443,"}_":19444,"Footer":19445,"Ġemployed":19446,"_bound":19447,"vide":19448,".func":19449,"$scope":19450,"Ġspo":19451,"ĠAnal":19452,"ounced":19453,"around":19454,"Ġrestriction":19455,"Ġshops":19456,"åĢ":19457,"ĠLatin":19458,"-col":19459,"Ġbarely":19460,"ĠEuro":19461,"Er":19462,"Ġfaire":19463,"_distance":19464,"_unlock":19465,"Quote":19466,"IVATE":19467,"ĠåĪ":19468,"Ġaimed":19469,"ĠRetrie":19470,".iter":19471,"Ġwrapped":19472,"Ġagreements":19473,"strument":19474,"(product":19475,"Ġstudied":19476,".setValue":19477,"Ġye":19478,"ĠCache":19479,"MBOL":19480,"Ġquarterback":19481,"Ġsyntax":19482,".getElementsBy":19483,".version":19484,"website":19485,"Runner":19486,"_single":19487,"ativ":19488,"ĠAltern":19489,"ĠBeautiful":19490,"rightarrow":19491,"Ġdiversity":19492,"plash":19493,"(co":19494,".Fill":19495,"Ġtyping":19496,"Ġclar":19497,"Hit":19498,"OO":19499,"acco":19500,"worth":19501,"Ġscripts":19502,"ĠMuslims":19503,"ĠLL":19504,"erving":19505,"(boolean":19506,"Ġbaseball":19507,"ĠCAN":19508,"MAIL":19509,"depend":19510,"Ġrespective":19511,"Ġconstexpr":19512,".*;ĊĊ":19513,"']))Ċ":19514,"Ġyard":19515,"Ġidentical":19516,"ifecycle":19517,"USH":19518,"upiter":19519,".validate":19520,"cli":19521,"ISTER":19522,"Indicator":19523,"Fail":19524,"Ġdemocracy":19525,".var":19526,"Ġsatisfied":19527,"-------------":19528,"encer":19529,"hor":19530,"Ġrounds":19531,"DAO":19532,"oa":19533,"Ġflask":19534,"=c":19535,"[]Ċ":19536,"/dist":19537,"Ġparte":19538,"Ġconfirmation":19539,"eron":19540,"aware":19541,"":19542,"Ġdependencies":19543,"ĠVideos":19544,"-row":19545,"Ġ**/Ċ":19546,"Ġnou":19547,"Ġhover":19548,"æŀ":19549,"Ġnin":19550,"ĠUSD":19551,"Mac":19552,"_Load":19553,"Ġoutcomes":19554,"_socket":19555,"Ġqueries":19556,"wm":19557,"Ġhitting":19558,"inux":19559,"Mich":19560,"udge":19561,"ATAB":19562,"Ġvulnerable":19563,"ä¾":19564,"Ġportfolio":19565,":YES":19566,"ĉmap":19567,"Bound":19568,"Ġiteration":19569,"incess":19570,"Ġactors":19571,"ĠQual":19572,"_clean":19573,"ãĢijãĢIJ":19574,"MSG":19575,"Green":19576,"ĠOfficer":19577,"Ġsmoking":19578,">',":19579,"ĠFlo":19580,"++;":19581,"olygon":19582,"Ġbulk":19583,"Ġdrama":19584,"Ġexceptions":19585,"osed":19586,"Ġ+čĊ":19587,"Ġlegacy":19588,"CV":19589,"Ġcontributed":19590,"ĠTerms":19591,"Ġbt":19592,"Ġuntuk":19593,"Ġalien":19594,"===Ċ":19595,"ĉVector":19596,"Ġls":19597,"Online":19598,".facebook":19599,"numeric":19600,"ockets":19601,"Aut":19602,"bury":19603,"-redux":19604,"ĠRedistributions":19605,"GLOBALS":19606,"urrencies":19607,"Ġtons":19608,"âĢĻ,":19609,"Ġê":19610,"(col":19611,"ĠSymbol":19612,"Ġstayed":19613,"ĠML":19614,"Ġmunicip":19615,"Ġsexo":19616,"Sen":19617,"nr":19618,"Ġgains":19619,"Ġshortly":19620,".Menu":19621,"ý":19622,"KNOWN":19623,"Ġoperators":19624,"-V":19625,"ĠPatrick":19626,"/add":19627,"_CO":19628,"iration":19629,"(post":19630,"Posts":19631,"/_":19632,"Ġplug":19633,"Ġintellectual":19634,"Ġmetab":19635,"Ġpregnancy":19636,"ĠPremier":19637,"nm":19638,"Ġprediction":19639,"ĠMinistry":19640,"Three":19641,"valuate":19642,"ĠMini":19643,"bu":19644,"оз":19645,"\";čĊ":20078,"ĠSav":20079,".Bold":20080,"Ġenables":20081,"ĉtmp":20082,"Ġmanually":20083,"ĠSqu":20084,"userid":20085,".function":20086,".cache":20087,"LOPT":20088,".Services":20089,"ddit":20090,"tim":20091,">>":20154,"station":20155,"lore":20156,"atype":20157,"ishop":20158,"/****************************************************************":20159,"ComboBox":20160,"Ġvacation":20161,"Ġinitiative":20162,"ĠdefaultValue":20163,"concat":20164,"ĠKh":20165,"ĠWelcome":20166,"izedName":20167,"Migration":20168,"Ġgradient":20169,"Hot":20170,"Ġhardly":20171,"elo":20172,"ĠStudents":20173,"Ġloose":20174,"atz":20175,".Send":20176,"'/":20177,"Ġuniversal":20178,"Ġenterprise":20179,"Ġregex":20180,"Ġvisitor":20181,"ĠFly":20182,"Seq":20183,"à¸Ļ":20184,"ĠVisual":20185,"Ġlibraries":20186,"atoes":20187,"Payment":20188,"Ġpent":20189,"Ġgathered":20190,"VRTX":20191,"ĠDM":20192,"Split":20193,"Ġletting":20194,"ÐĿ":20195,"_errors":20196,"epoch":20197,"PARAM":20198,"cu":20199,"ÑģÑĤв":20200,"olutions":20201,"Editing":20202,"fonts":20203,"Ġallocated":20204,"ĠBased":20205,"(Y":20206,"ĠJudge":20207,"Ġbrothers":20208,"FILES":20209,"ço":20210,"wb":20211,"_PI":20212,"'^":20213,"Ġsword":20214,".services":20215,"Ġnl":20216,"Tim":20217,"igg":20218,"ĠMoore":20219,"Ġcryptoc":20220,"åĩº":20221,"_posts":20222,"otate":20223,"?'":20224,"....ĊĊ":20225,"Ġkl":20226,"=\"$":20227,"Ġdecoration":20228,"ạ":20229,"ĠDIRECT":20230,"GUI":20231,")=>{Ċ":20232,"Ġnewsletter":20233,"Ġprecis":20234,"(point":20235,"ĠEquipment":20236,"uty":20237,"ĠDave":20238,"Ġparticipation":20239,"uarios":20240,"xit":20241,".As":20242,"ETER":20243,"orous":20244,"Ġshield":20245,"[]>":20246,"ilitary":20247,".origin":20248,"Ġpromotion":20249,"Unt":20250,"Ġct":20251,"TRA":20252,"ViewHolder":20253,"Ġsigma":20254,"delta":20255,"arehouse":20256,"contract":20257,"(Vector":20258,"Ġcompete":20259,"/form":20260,"/components":20261,"Ġnr":20262,"ĠIndones":20263,"ĠоÑĤ":20264,"ĠVolume":20265,".files":20266,"(resp":20267,"/models":20268,"Ġsurf":20269,"standard":20270,"/o":20271,"ĠXCTAssert":20272,"VICES":20273,".Code":20274,"SED":20275,"Ġactivate":20276,"Delta":20277,"Ġlimitation":20278,"rij":20279,"Ġpregnant":20280,":^(":20281,"Ġsour":20282,"pie":20283,"Ġexpense":20284,"ication":20285,"ĠLarge":20286,"Ġ±":20287,"ĠBowl":20288,"(models":20289,"/N":20290,"Pa":20291,".reload":20292,"Ġwondering":20293,"Execution":20294,"ĉĠĠĠĠĠĠ":20295,"ĠGraphics":20296,"ĠContin":20297,"_job":20298,"ĠgetName":20299,"ĠMagn":20300,"ĠDWORD":20301,"mad":20302,"Ġnh":20303,"features":20304,"}\");Ċ":20305,"heets":20306,"(train":20307,"zn":20308,"Ġrecruit":20309,".connection":20310,"Ġbarrel":20311,"Ġsteam":20312,"_setting":20313,"Ġangular":20314,"aneously":20315,"Ġbil":20316,"ĠNorm":20317,"(!$":20318,"ibt":20319,"%(":20320,"Ġposit":20321,"ĠFather":20322,"intendo":20323,"Live":20324,"Ġports":20325,"Ġmej":20326,"Ġlanding":20327,"ponder":20328,"Ġcod":20329,"_HEADER":20330,".Margin":20331,"Ġballs":20332,"Ġdiscussions":20333,"Ġblend":20334,"Hex":20335,"Ġfarmers":20336,"Ġmaintaining":20337,"ĠĠĠčĊ":20338,"syn":20339,"[T":20340,"rus":20341,"uffers":20342,"Ġcontributors":20343,"_sys":20344,".Debug":20345,"Ġconstructed":20346,"omes":20347,"?id":20348,"slider":20349,"Ġsuppliers":20350,"scriber":20351,"pes":20352,"Ðŀ":20353,"\":čĊ":20354,"\\Controller":20355,"))ĊĊĊ":20356,"Ġlua":20357,"Multi":20358,"ENS":20359,"Src":20360,"Ġpetition":20361,"Ġslave":20362,"looking":20363,"VERT":20364,"ĉvector":20365,"Special":20366,"hh":20367,"anne":20368,"ĠNiger":20369,"/views":20370,"zing":20371,"endant":20372,"(":20591,".Product":20592,"Forms":20593,"NEW":20594,"Pay":20595,"ĉboolean":20596,"_contact":20597,"ĠElectric":20598,"skip":20599,"Ġwur":20600,"Ġchronic":20601,"_driver":20602,"ĠSab":20603,"ĠUlt":20604,"ĠRad":20605,"STATUS":20606,"ĠLewis":20607,"OB":20608,"Ġgifts":20609,".Rec":20610,"TRUE":20611,"Ġintensity":20612,"Marker":20613,".compare":20614,"ffic":20615,"Cookie":20616,"ĠBaby":20617,"ĠBigDecimal":20618,"ilet":20619,"ĠHOLDERS":20620,"ĠLady":20621,"Ġlung":20622,"ĠAlabama":20623,"Ġdess":20624,"`);Ċ":20625,"ĠBuilder":20626,"_region":20627,"Ġneutral":20628,"Both":20629,"Ġhp":20630,"Ġhorn":20631,"Ġsegments":20632,"ĠEC":20633,"\"=>\"":20634,"(rec":20635,"ĠPi":20636,"GM":20637,"Ġlaptop":20638,"Scalar":20639,"isd":20640,"-dialog":20641,"ĠAnderson":20642,"Ġmistakes":20643,"ĠHan":20644,"jes":20645,"estination":20646,"Ġpromises":20647,"bid":20648,"ĠScient":20649,"GIN":20650,"ĠPerformance":20651,"bage":20652,".users":20653,"leading":20654,"Ġoral":20655,"Graphics":20656,"_PTR":20657,"hang":20658,"Ġinev":20659,"processing":20660,"Factor":20661,"ĠNA":20662,"$string":20663,"Ġgrounds":20664,".SaveChanges":20665,"clock":20666,"cripcion":20667,"ĠNewton":20668,"gc":20669,".includes":20670,"Ġblast":20671,"Ġ'-'":20672,"Ġpuede":20673,".Session":20674,"Ġgrep":20675,"_final":20676,"ĠGay":20677,"ĠGive":20678,"iri":20679,"-star":20680,"ĠUIImage":20681,"_epoch":20682,"ubb":20683,"enth":20684,"Ġelite":20685,"Ġcampaigns":20686,"ĠPorno":20687,"_assign":20688,"Protocol":20689,"ĠBeing":20690,"ĠAirport":20691,"Ġconventional":20692,"ĠWat":20693,"ĠCI":20694,"ETA":20695,"ĠAnthony":20696,"Ġtablet":20697,"(format":20698,"Ġconsistently":20699,"ĠIowa":20700,"Ġavatar":20701,".cursor":20702,"![":20703,"Ġhanging":20704,"Her":20705,"Such":20706,"';ĊĊĊ":20707,"orgeous":20708,"()==":20709,"ĠviewModel":20710,"Ġãĥ":20711,"Ġels":20712,"ĠAgent":20713,"Fetch":20714,"apor":20715,"Ġcx":20716,"pread":20717,"ĠPier":20718,"oeff":20719,"Sn":20720,"ĠVirtual":20721,"Apr":20722,".White":20723,"_MOD":20724,"ĠPoints":20725,"失":20726,"Ġgenes":20727,"Ġvendor":20728,"Ġmainstream":20729,"Ċ":20758,"Filename":20759,"Ġsne":20760,"ĠFootball":20761,"Ġrival":20762,"Ġdisaster":20763,"ionic":20764,"ĠDamage":20765,".Resource":20766,"-en":20767,"ĠTypes":20768,"getString":20769,"(board":20770,"Ġbol":20771,"plain":20772,"zym":20773,"า":20774,"Ġscanner":20775,"ilder":20776,"_msgs":20777,"æı":20778,"(intent":20779,"Ġdestruct":20780,"Ġbust":20781,"ĠEmploy":20782,"oni":20783,"ĠUIViewController":20784,"Ġodds":20785,"earer":20786,"Geometry":20787,"Ġyii":20788,"_EXPORT":20789,"ĠAttack":20790,"Ġniet":20791,"Ġimpression":20792,"ĠGil":20793,"_prob":20794,"ĠCF":20795,"ĠExperience":20796,"/plugins":20797,".Method":20798,"Ġbeliefs":20799,"Native":20800,"_build":20801,"Ġvig":20802,"Ġranks":20803,"covered":20804,"such":20805,"Guard":20806,".pack":20807,"adder":20808,"ivia":20809,"lng":20810,"ĠвÑĭ":20811,"Timestamp":20812,"_now":20813,"Ġpoker":20814,"Ġunc":20815,"Ġshapes":20816,"-types":20817,"_period":20818,"pk":20819,"Ġveteran":20820,"Ġsono":20821,"Ġappointed":20822,"overflow":20823,".driver":20824,"_cat":20825,"utt":20826,"plant":20827,"imb":20828,"ĠAccept":20829,"Ġconcert":20830,"ĉnode":20831,"ĉz":20832,"?>čĊ":20833,"Ġbanned":20834,"ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":20835,"Ġtoxic":20836,"Ġdisappe":20837,"ÈĽ":20838,"Ġgrace":20839,"ateful":20840,"Reply":20841,"ĠCruz":20842,"Ġscrap":20843,"Ġkeywords":20844,"simp":20845,"Ġmortgage":20846,"Ġcyber":20847,"ĠExecute":20848,"Ġlatitude":20849,"ifu":20850,".COM":20851,"dbo":20852,"Ġsorts":20853,"ĠGas":20854,"omial":20855,".Local":20856,"Cells":20857,".Replace":20858,"Strings":20859,".fit":20860,"ĠThird":20861,"%\",Ċ":20862,"Ġ{}\".":20863,"ĠSony":20864,"Ġ[:":20865,"Ġfallen":20866,".')Ċ":20867,"inh":20868,"ĠMC":20869,"Ġredis":20870,"Codes":20871,"Ġprofiles":20872,"hook":20873,"Reducer":20874,"_FUNC":20875,"Ġnavigate":20876,"strlen":20877,"Ġhorm":20878,"áŀ":20879,"ĠSR":20880,".boot":20881,"Ġdigest":20882,"ĉheader":20883,".findOne":20884,"æģ":20885,"DbType":20886,"nia":20887,"_merge":20888,"Ġdonne":20889,"/Getty":20890,"_CHAR":20891,"Ġbands":20892,".URL":20893,"artial":20894,"Ġfreq":20895,"Ġsist":20896,"Ng":20897,"Ġrendering":20898,"\\Core":20899,"Widgets":20900,"ĠVA":20901,"Ġactivists":20902,"Ste":20903,"=_":20904,"alla":20905,"Stamp":20906,"Ġloads":20907,"Ġxx":20908,"ĠLearning":20909,".Mvc":20910,"uir":20911,"(\"$":20912,"Ġconnecting":20913,"ReadOnly":20914,"uru":20915,"ĠEag":20916,"BIT":20917,"_DEL":20918,"å§":20919,"arrass":20920,"external":20921,"ĠYOUR":20922,"ĠBrew":20923,"ĠFive":20924,"Ġresize":20925,"igid":20926,"eration":20927,"ĠÑį":20928,"åĬł":20929,"ĠCatch":20930,"Ùģ":20931,"ĠLeon":20932,"amil":20933,".Body":20934,"Clip":20935,"/list":20936,".br":20937,"EditText":20938,"ĉdb":20939,".Game":20940,"(BuildContext":20941,"backend":20942,".Red":20943,"facebook":20944,".urls":20945,"mr":20946,"rolled":20947,"-------":20948,"Ġintervention":20949,"Ġretirement":20950,"ĠKit":20951,"ĠPRE":20952,"UpperCase":20953,"ĠSocket":20954,"Ġ:-":20955,"Ġstudying":20956,"ĠMetro":20957,"arded":20958,"Ġconversations":20959,"Called":20960,"Ġexamine":20961,"ertificate":20962,".gz":20963,"-responsive":20964,"Ġrefund":20965,"_network":20966,"allowed":20967,"empt":20968,"Ġmeals":20969,"Categories":20970,"Ġtraveling":20971,"Ġkg":20972,"Ġshame":20973,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":20974,"Ġexplicitly":20975,"Ġmathematic":20976,"ĠSuite":20977,"ĠRGB":20978,"******/":20979,"Ġmixture":20980,"learning":20981,".template":20982,"atts":20983,"wx":20984,"ĉctx":20985,".properties":20986,"Ġdrinks":20987,"ĠEither":20988,"setText":20989,".getData":20990,".zip":20991,"Ġreveals":20992,".Ċ":21005,"Ġranked":21006,"_impl":21007,"ĠHandles":21008,"Ġhosted":21009,"Ġupdating":21010,"album":21011,"éĿ":21012,"Ġshader":21013,"Editors":21014,"-round":21015,"[]{":21016,"Ġsep":21017,"ĠHi":21018,"TEM":21019,"lookup":21020,".man":21021,"_INPUT":21022,"Ġthreatened":21023,"_IMPORT":21024,"Ġdrops":21025,"ruit":21026,"sid":21027,"both":21028,"ĠExcel":21029,"Ġjer":21030,"ordinary":21031,"ей":21032,"VIEW":21033,"reply":21034,"Ġ):Ċ":21035,"colors":21036,"verified":21037,"_Tr":21038,"_parse":21039,"Ġcongress":21040,"Promise":21041,"ints":21042,"ĠMother":21043,".Api":21044,"ĠDuration":21045,"ĠfirstName":21046,"inheritdoc":21047,"ĠMars":21048,"Ġapr":21049,"ODY":21050,"Ġvisits":21051,"Ġhealing":21052,"letters":21053,")));čĊ":21054,"future":21055,".Framework":21056,"Ġkiss":21057,"Ġinvolve":21058,"Ġsilent":21059,"adows":21060,"Ġanybody":21061,"sch":21062,"Ġsolely":21063,"-img":21064,"Ġpropri":21065,"Ġinstruct":21066,"Ġlicenses":21067,"Ġmeth":21068,"Ġcondem":21069,"ĠDomain":21070,"ĠHarris":21071,"ĠsÃ¥":21072,"CEPT":21073,"Batch":21074,"@extends":21075,"ĠCONTRIBUT":21076,".DataFrame":21077,"_packet":21078,"recision":21079,"Ġfocusing":21080,".ht":21081,"__\":Ċ":21082,":Get":21083,"ĠKC":21084,"Ġpassage":21085,"Segment":21086,"_center":21087,"-zA":21088,"_BL":21089,"Ġconvin":21090,"Ġclassified":21091,"ĠNSMutable":21092,"_ap":21093,"tile":21094,"Rectangle":21095,"(nums":21096,"vens":21097,"ĠUIButton":21098,"ĠFeder":21099,"amo":21100,"Ġoutline":21101,"ĠParser":21102,"Ġâī":21103,"ĠWorks":21104,".Schema":21105,"Ġengines":21106,"_common":21107,"_old":21108,"ĠsetContentView":21109,"Ġ///<":21110,"ĠBT":21111,"fm":21112,"Ġdivers":21113,"_weights":21114,"emark":21115,"ĠACT":21116,"Ġproportion":21117,"overlay":21118,".dirname":21119,"ĠGit":21120,"_REFERENCE":21121,"<>":21122,"lb":21123,"_rule":21124,"è´¥":21125,"ĠPutin":21126,"Ġsleeping":21127,"():čĊ":21128,"Ġpreserve":21129,"Ġparliament":21130,"ĠLooking":21131,"Ġpicking":21132,"ĠDispatch":21133,"Ġslip":21134,"ëĵ":21135,"ĠLyn":21136,"_signal":21137,"configuration":21138,"ĠPitt":21139,"aden":21140,"procedure":21141,"Ġenthusi":21142,"fight":21143,"ĠConsider":21144,"Ġtorn":21145,"Connected":21146,".cos":21147,"_groups":21148,"ĠThink":21149,"Ġdeliber":21150,"Ġresid":21151,"working":21152,".columns":21153,"ĠCalled":21154,"Ġeslint":21155,">\",":21156,"_DOWN":21157,"hist":21158,"ĠAdvanced":21159,"Ġrewards":21160,"actors":21161,"Ġsilence":21162,"Ġmyth":21163,"Ġneur":21164,"Ġauction":21165,".GetString":21166,"eks":21167,"(project":21168,"ĉmsg":21169,"ĉoutput":21170,"Ġcomplaints":21171,",S":21172,"Ġtbl":21173,"Ġ,ĊĊ":21174,"riors":21175,"ahren":21176,"Ġlawyers":21177,"redux":21178,"_symbol":21179,"offee":21180,"_RESULT":21181,"(Name":21182,"UTC":21183,".currentTime":21184,"Ġorganis":21185,".arg":21186,"Ġminim":21187,"wick":21188,"Ġreceives":21189,"Balance":21190,"Ġspeaks":21191,"ĠDays":21192,"ĠBelow":21193,"tipo":21194,"Present":21195,"Ġreserv":21196,"hp":21197,"Ġrit":21198,"_RIGHT":21199,"--)":21200,"Ġchairman":21201,"DIS":21202,"ĠBOOST":21203,"Ġexperiments":21204,"__);Ċ":21205,"Ġstamp":21206,"Ġfert":21207,"Ġfond":21208,"Ter":21209,"elve":21210,"uren":21211,"+i":21212,"endency":21213,"Ġvirtually":21214,"...\"":21215,"ï½ŀ":21216,"-cent":21217,"_unique":21218,"Ġpricing":21219,"mic":21220,"RESH":21221,"Ġ:::":21222,"Ġannotation":21223,"ĠCircle":21224,"ongodb":21225,"itas":21226,"Ġ%(":21227,"(component":21228,"Ġоб":21229,"(port":21230,"-hour":21231,".obj":21232,"LBL":21233,"Ġjury":21234,"GBT":21235,"Ġspy":21236,"ĠProfessional":21237,"Ġ\"\";ĊĊ":21238,"Ġstriking":21239,"Ġdiscrimination":21240,"Ġpays":21241,"lict":21242,"entes":21243,"Ġthrowing":21244,"ĠPlugin":21245,"(def":21246,"ĠRuntimeException":21247,"ĠMigration":21248,"Ġdic":21249,"bag":21250,"onia":21251,"Ġcorruption":21252,"(Map":21253,"Ġprz":21254,".dto":21255,"Ġacquire":21256,"StateToProps":21257,"Ġloving":21258,"ож":21259,"_pattern":21260,"Ġemotions":21261,"Ġpublisher":21262,"_be":21263,"Ġcouples":21264,"oj":21265,"ĠChart":21266,"Ġtrop":21267,".tool":21268,"Ġestablishment":21269,"Ġdol":21270,"Ġtower":21271,"Ġlane":21272,"ĠSydney":21273,"Ġfilling":21274,"claimed":21275,"Ġdialogue":21276,"Ġconvention":21277,"booking":21278,"parency":21279,"æ±":21280,"ĠGeneric":21281,"\\Schema":21282,"Ġranges":21283,"/ch":21284,"Ġpanels":21285,"Ġruled":21286,"çĶŁ":21287,".ts":21288,"_sets":21289,"Ġcleanup":21290,"Previous":21291,"ĠAnimal":21292,"($(":21293,"ĠAve":21294,"ollar":21295,"_eval":21296,"ĉName":21297,"(tree":21298,"Ġ\"]":21299,"Ġduties":21300,"='/":21301,"Clicked":21302,"Ġdifferently":21303,"ĠClark":21304,"Ġdit":21305,"ologists":21306,"Ġsynd":21307,"Ġsends":21308,"-known":21309,"kb":21310,"ĠModal":21311,"itative":21312,"Ġracing":21313,"Ġhighlights":21314,"ĠSimon":21315,"ĠCaptain":21316,"ä¿¡":21317,"ĠCB":21318,"contin":21319,"aran":21320,"Ġphysics":21321,"retty":21322,"etal":21323,".md":21324,"axios":21325,"Ġspeakers":21326,"Ġprep":21327,"Ġawarded":21328,"ì§Ģ":21329,"ĠCorn":21330,"ĠNature":21331,"UDIO":21332,"Ġproj":21333,"-pre":21334,"[u":21335,"Features":21336,"ĠisEqual":21337,"Binary":21338,"sig":21339,"Ġconfusion":21340,"ĠHat":21341,"Ġktó":21342,".configure":21343,"MON":21344,"/edit":21345,"_Add":21346,",true":21347,"Ġcli":21348,"ErrorMessage":21349,"-loader":21350,"Dimensions":21351,"ultiply":21352,"Ġ{!!":21353,"ĠSqlCommand":21354,"Ġspoken":21355,"Ġpics":21356,"Ġtoy":21357,"(Key":21358,"ĠLoop":21359,"ب":21360,"EATURE":21361,"inction":21362,"_setup":21363,"wrapper":21364,"Ġtong":21365,"cular":21366,"Opt":21367,".Pl":21368,"=\",":21369,"(length":21370,"umn":21371,"Ġchrom":21372,"Ġsevent":21373,"ĠIllegalArgumentException":21374,"ĉstart":21375,"Ġbegun":21376,"CEPTION":21377,"dataset":21378,"ĠFailed":21379,"cols":21380,"Ġknee":21381,"imore":21382,".splice":21383,"shell":21384,"iggers":21385,"Ġthemes":21386,"ĠDJ":21387,"ĠAssistant":21388,"-$":21389,"Maybe":21390,"Ġordering":21391,"ĠIntelligence":21392,"ĠMassachusetts":21393,"Ġfailing":21394,"elson":21395,"Great":21396,"=i":21397,".rest":21398,"Ġinvite":21399,"-disable":21400,".GroupBox":21401,"âĢĻest":21402,"Ġtackle":21403,"gv":21404,"etter":21405,"Ġ),čĊ":21406,"_rules":21407,".warn":21408,"functions":21409,"ĠChristians":21410,"Ġbacked":21411,"Ġslider":21412,"Ġenjoying":21413,"nest":21414,"Ġhij":21415,"_ms":21416,"//*":21417,"Annotations":21418,"ĠVariables":21419,"":21620,"cycle":21621,"ĠBull":21622,"paths":21623,"Ġunp":21624,"ĠviewDidLoad":21625,"_Model":21626,"ĠassertTrue":21627,"Ġrated":21628,"Decl":21629,"verted":21630,"ĠDat":21631,"brew":21632,"Ġpointing":21633,"Ms":21634,"ĠPointer":21635,")'":21636,"_non":21637,"ĠSEC":21638,"Ġyeah":21639,"gency":21640,"initialize":21641,"fly":21642,"[pos":21643,",g":21644,"Tele":21645,"Ġjoke":21646,"Ġclause":21647,".findById":21648,"enes":21649,"(instance":21650,"£":21651,"Ġslic":21652,"_home":21653,"Ġ*/}Ċ":21654,"_pages":21655,"(service":21656,"RP":21657,"ĠAmong":21658,".getCurrent":21659,"ãĤ¹":21660,"Ġslee":21661,"=[Ċ":22071,"oler":22072,"Ġlibert":22073,"Ġ`Ċ":22074,"Ġwenn":22075,"lated":22076,"Ġimmune":22077,"(Node":22078,"ĠProblem":22079,"ĠAbs":22080,"logs":22081,"Ġ../":22082,"ĠADC":22083,"Ġ}}\">Ċ":22084,">');Ċ":22085,"=b":22086,"ĠWind":22087,"lahoma":22088,"Ġallocate":22089,"orian":22090,"Ġprescription":22091,"-quality":22092,"ĠMayor":22093,"inely":22094,"endforeach":22095,"ĠComplex":22096,"kom":22097,"TY":22098,"]].":22099,".Style":22100,"_many":22101,"','$":22102,"Ġbarrier":22103,"ĠFetch":22104,"ĠMarvel":22105,"Ġresist":22106,"ого":22107,"bidden":22108,"ĠRunnable":22109,":false":22110,"Ġbuilds":22111,"ĠStage":22112,"Ġdub":22113,"empo":22114,".site":22115,";ĊĊĊĊ":22116,"ĠDenver":22117,"Ġrevel":22118,"Ġtriggered":22119,"Ġdice":22120,"_fail":22121,"Ġgc":22122,"ĉX":22123,"ĠThrowable":22124,".router":22125,"ĠRevolution":22126,"ÑĢа":22127,"_NON":22128,"Ł¥":22129,"Ġelder":22130,"Ġabroad":22131,"Ġе":22132,"ĠAdult":22133,"blr":22134,"glyphicon":22135,"Ġpromoting":22136,"Ġiz":22137,"ĠSolid":22138,"_loader":22139,"early":22140,".enabled":22141,"-edit":22142,"ĠUL":22143,"_play":22144,"ĠInterrupt":22145,"Ġadvantages":22146,"ucle":22147,"Ġmechanical":22148,".tableLayoutPanel":22149,"ĠWorking":22150,"Ġanonymous":22151,"Rating":22152,"igious":22153,"_phone":22154,".addActionListener":22155,"Ġfran":22156,"unden":22157,"Ġ*)&":22158,"_bool":22159,"ulative":22160,"Ġcone":22161,"ĠMult":22162,"Ġmö":22163,"ĠForward":22164,"]):Ċ":22165,"Ġconvinced":22166,"acted":22167,"ãģĵ":22168,"ĠConfigure":22169,"Ġceiling":22170,"Der":22171,"Ġpassengers":22172,"Groups":22173,"Ġsoccer":22174,"/W":22175,"aviors":22176,"swith":22177,"ĠZone":22178,".Options":22179,"ĠMom":22180,"ieder":22181,"Arrays":22182,"Ġtreatments":22183,"Ġprotecting":22184,"fac":22185,"Ġpickle":22186,"ButtonItem":22187,"Ġblocking":22188,"strar":22189,"ò":22190,"ĠExport":22191,"Ġthrew":22192,"otta":22193,"ĠBASE":22194,".ws":22195,".LEADING":22196,"orderBy":22197,"_delay":22198,"ĠPu":22199,".dll":22200,"ĠChoose":22201,"Police":22202,"ĠBEGIN":22203,"boxes":22204,"Ġdiamond":22205,",l":22206,"Ġĉĉĉ":22207,"Ġcurious":22208,"tv":22209,"Ġerotische":22210,"ackages":22211,"ĉSet":22212,"Tick":22213,".border":22214,"staticmethod":22215,"Ġcher":22216,"invoice":22217,"Ġcru":22218,"Ġdefect":22219,"_metadata":22220,"relation":22221,"ikan":22222,"[N":22223,"(Qt":22224,"(Base":22225,"æģ¯":22226,"beat":22227,"ĠEmpty":22228,"ĉo":22229,"_shift":22230,"Ġregret":22231,"Those":22232,"Cent":22233,"ĠPortug":22234,"ĠIslands":22235,"ĠTIME":22236,"Management":22237,"-sp":22238,"ême":22239,"Ġnotion":22240,"unifu":22241,"PK":22242,"è¡Į":22243,"ĠCURLOPT":22244,"\\\"\\":22245,"UV":22246,"çº":22247,"dra":22248,"cou":22249,"=`":22250,"ĠDestroy":22251,"rp":22252,".cancel":22253,"GG":22254,"runtime":22255,"ĠVue":22256,"Ġprogressive":22257,"/services":22258,"Ġrunner":22259,"_FRAME":22260,".ToolStripMenuItem":22261,"Ġ','":22262,"delay":22263,"=utf":22264,"Ġscreening":22265,"Ġpulling":22266,"omas":22267,"Ġanth":22268,"-new":22269,"/local":22270,"ĠiPad":22271,"Ġtwitter":22272,"Ġdying":22273,"Ġheaven":22274,"ĠUInt":22275,"ĠSenator":22276,"Ġpresum":22277,"ĠWalker":22278,"Ġovercome":22279,"etection":22280,"Ġembarrass":22281,"China":22282,"Include":22283,"ROLL":22284,"ĠdataType":22285,"David":22286,"ร":22287,"lop":22288,"-month":22289,"Ġscar":22290,"ĠSafe":22291,"Ġ****************************************************************":22292,"Ġaccessories":22293,"Ġramp":22294,"_USE":22295,"Ġcontrad":22296,"))]Ċ":22297,"Ġprest":22298,"ĠHR":22299,"ĠRap":22300,"Ġusize":22301,"Ġcapability":22302,"Ġcort":22303,"-next":22304,"Ġburden":22305,"_reader":22306,"Ġ@@":22307,"regular":22308,"ĠKa":22309,"MAN":22310,"Ġastr":22311,"Ġ'')Ċ":22312,"Ġfed":22313,"Ġparsing":22314,"ĠYears":22315,"Ġbroker":22316,"\":{\"":22317,"Ġakt":22318,"Inventory":22319,"abeled":22320,"Ġargparse":22321,"*******Ċ":22322,"versation":22323,"Ġcord":22324,"ĠTi":22325,"Ġhopefully":22326,"Ġah":22327,"verb":22328,"Ġstolen":22329,".Entry":22330,"Ġexpecting":22331,"Orientation":22332,"Ġpowered":22333,"Ġpersist":22334,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":22335,"']);":22336,"')),Ċ":22337,"ĠCash":22338,"ĉitem":22339,"grades":22340,"ropol":22341,"basic":22342,"Ġ\");čĊ":22343,"Ġawards":22344,"(range":22345,"-all":22346,"ĠIBOutlet":22347,"ĠIndeed":22348,"----------------------------------------------------------------------------":22349,"Ġstomach":22350,"Ġflower":22351,"Ġsew":22352,"_times":22353,"avis":22354,"QString":22355,"ĠRoutes":22356,"_prot":22357,"Ġcomedy":22358,"Ġlogout":22359,"Ġwooden":22360,"Ġposter":22361,"piece":22362,".Join":22363,"ĠPok":22364,"celona":22365,"mutex":22366,";čĊčĊčĊ":22367,"Ġstrikes":22368,"Loaded":22369,")arg":22370,"esa":22371,"United":22372,"Ep":22373,"PELL":22374,"ĠAtlantic":22375,"ullet":22376,"apple":22377,"Ġsettled":22378,"acon":22379,"Ġprinter":22380,"ĠGC":22381,"å®ļ":22382,"Ġrendered":22383,",âĢĻ":22384,"heit":22385,"social":22386,".ge":22387,"ĠRick":22388,"ĠUtah":22389,"got":22390,"onical":22391,"ĠScroll":22392,"ĠSciences":22393,"Ġjug":22394,"Ġampl":22395,"enti":22396,"LEFT":22397,"Ġtabs":22398,"Ġenormous":22399,".getKey":22400,"locate":22401,".EX":22402,".storage":22403,".We":22404,"Ġtoast":22405,"ĠAdditionally":22406,"ĠNOW":22407,"_UPDATE":22408,"Ġtransferred":22409,"tha":22410,".Display":22411,"_ui":22412,"IDEO":22413,"Ġmeaningful":22414,"ĠMoscow":22415,",this":22416,"ĠVictoria":22417,"æĶ¹":22418,"ĠÐŁ":22419,".stack":22420,"ĠBarn":22421,"paredStatement":22422,":string":22423,"Ġbij":22424,"ĠSTATE":22425,"Ġemployers":22426,"ĉinput":22427,"(|":22428,"Ġlex":22429,"invoke":22430,"ĉnum":22431,"++,":22432,"atial":22433,"orses":22434,"Ġfork":22435,"_txt":22436,"ĠAntonio":22437,"Ġ(<":22438,"averse":22439,"Ġdevast":22440,"ãĢĢ":22441,".Dec":22442,"ĠGard":22443,"/ui":22444,".%":22445,"tri":22446,"Ġrolled":22447,"ValuePair":22448,"itten":22449,"ĠTher":22450,"Ġvrou":22451,"ĠFlow":22452,"ĠFinance":22453,"ĠComb":22454,"HC":22455,".setVisible":22456,"isl":22457,"Ġpk":22458,"Ġupset":22459,"(raw":22460,"ĠVice":22461,"eatures":22462,"ĠLang":22463,"Looking":22464,"ĠAST":22465,"Ġtrips":22466,"ĠJustin":22467,"browser":22468,"=\"'.$":22469,".vertices":22470,"-co":22471,"}/{":22472,"Ġ?,":22473,"ĠDomin":22474,"ĠBelg":22475,"\"<":22476,"Ġsuppose":22477,"addy":22478,"Ġwalks":22479,"ERRU":22480,"_filters":22481,"Preferred":22482,"scene":22483,"еÑģ":22484,"ĠAffairs":22485,"Ġ\"#{":22486,"ĠonSubmit":22487,"Ġstocks":22488,"/view":22489,"gree":22490,"-get":22491,"hit":22492,"Jo":22493,".getC":22494,"Initialized":22495,"ÑĤи":22496,"cuts":22497,"(Type":22498,"ĠAgreement":22499,"ĠVietnam":22500,"Ġ/*!":22501,"Ġpizza":22502,"-view":22503,"_em":22504,"Ġlhs":22505,"Ġmuy":22506,"ĠIdent":22507,"ĠFriends":22508,"Ġabund":22509,"_AD":22510,".timestamp":22511,"-'":22512,"Ġduplicate":22513,"Ġhunting":22514,"Ġregulatory":22515,"iao":22516,"amous":22517,"ĠEntertainment":22518,"[A":22519,"iatric":22520,"_CLIENT":22521,"ĠKids":22522,"/pkg":22523,"Break":22524,")));ĊĊ":22525,"ĠShape":22526,"Ġrelating":22527,"Interrupt":22528,"ableOpacity":22529,"embre":22530,"Ġmystery":22531,"Ġjournalists":22532,"ritable":22533,".Link":22534,"Ġstopping":22535,"CRET":22536,".DB":22537,"Ġpopularity":22538,"Ġgew":22539,"Ġimpr":22540,"setValue":22541,"FLAG":22542,"ĉmax":22543,"Ġbake":22544,"wy":22545,"ĠEconomic":22546,"Ġencontr":22547,"Ġfname":22548,"/de":22549,"Rank":22550,"Ġbugs":22551,".sm":22552,"Ġmedian":22553,"DOWN":22554,"ĠSure":22555,"AtIndex":22556,"ĠDick":22557,"Ġ(__":22558,".delta":22559,"Fr":22560,"Ġsuggesting":22561,"ĠRecyclerView":22562,",e":22563,"START":22564,"/****************************************************************************":22565,"xford":22566,"Ġreceipt":22567,"CLAIM":22568,"readonly":22569,"Ġengaging":22570,"Ca":22571,"asma":22572,"Ġensuring":22573,"English":22574,"ĠVancouver":22575,"hyth":22576,"Ġpurchasing":22577,"ĠPI":22578,".word":22579,"(sp":22580,".home":22581,":def":22582,"Ġgig":22583,"ĠVe":22584,"forum":22585,"ĠMitch":22586,"Bay":22587,"_FL":22588,"Ġsoll":22589,"_columns":22590,"Ġminority":22591,"bird":22592,"Ġhanded":22593,"SSL":22594,"STAT":22595,"Ġnervous":22596,"ĥ½":22597,"ĠfilePath":22598,"CREATE":22599,"Aw":22600,"Ġpens":22601,"seed":22602,"ĠCompute":22603,"olk":22604,"ĠAsset":22605,"reach":22606,"'),čĊ":22607,"navigation":22608,"LF":22609,"/util":22610,"ĠPub":22611,"ĠâĶ":22612,"cion":22613,"##Ċ":22614,"III":22615,"TagName":22616,"Ġamid":22617,"permission":22618,"ifiable":22619,"xFFFFFFFF":22620,"ни":22621,".Buffer":22622,"_irq":22623,"dark":22624,"Ġretval":22625,".fire":22626,"production":22627,".listen":22628,"ĠWeather":22629,"Ġbuyers":22630,".ne":22631,"erp":22632,"ĠPent":22633,"Ġwelfare":22634,"ĠpageSize":22635,"ĠStadium":22636,"erta":22637,"Ġlev":22638,"ampa":22639,"Pager":22640,"Ġcharging":22641,"ĠNetflix":22642,"|null":22643,"_random":22644,".xpath":22645,"Ġstere":22646,"ĠISIS":22647,"ponses":22648,"(loc":22649,"eyond":22650,"ĠOfficial":22651,"ĠMaryland":22652,"DataType":22653,"_par":22654,"{},":22655,"ĠEnjoy":22656,"_SHIFT":22657,"ĠAwards":22658,"_ENTRY":22659,"Ġseemingly":22660,"enticate":22661,"Ġhearts":22662,"_;ĊĊ":22663,"ĠHIV":22664,"Ġindivid":22665,"ĠFlag":22666,"_ctrl":22667,"ĠCallback":22668,",z":22669,"ĠGPU":22670,"ĉobj":22671,"ĠPhoenix":22672,"ĠBUS":22673,"Ġrubber":22674,"_AUTH":22675,"ĠSolutions":22676,"(location":22677,"Variables":22678,".setEnabled":22679,"_high":22680,"WO":22681,"Gesture":22682,"Ġretry":22683,"ĠobjectForKey":22684,"alloween":22685,"Ġmos":22686,"ĠCele":22687,"Ġikke":22688,"(cell":22689,"ĠMODE":22690,"rena":22691,"Ġdescribing":22692,"Ġphi":22693,"Ġrd":22694,"Ġdeserve":22695,"Ġwheels":22696,"å¸Ĥ":22697,"Ġcritics":22698,"Namespace":22699,"ĠFra":22700,"ĠĊĊĊĊ":22701,"Ġalla":22702,"Ġrequiring":22703,"æľŁ":22704,"utation":22705,"Ġdelayed":22706,"Ġadministrative":22707,"Ġbay":22708,".hidden":22709,"Tex":22710,"Ġboundaries":22711,"Ġ]);ĊĊ":22712,"ĠFollowing":22713,"~/":22714,"Fi":22715,"_conv":22716,"_TITLE":22717,"Ġdesde":22718,"ICollectionView":22719,"Alias":22720,"Ġbite":22721,"patient":22722,"_COMMAND":22723,"Completed":22724,"ĉelif":22725,"(<":22726,"Business":22727,"ĠPool":22728,"Ġpursue":22729,"ĠBan":22730,"_steps":22731,"_DECL":22732,"umble":22733,"Ġcombo":22734,"ĠLayer":22735,".xr":22736,"Ġdup":22737,"---------":22738,"Ġmodifier":22739,"rob":22740,"rez":22741,"Ġathletes":22742,"Used":22743,"wear":22744,"Ġlegitimate":22745,"Ġ\"ĊĊ":22746,"Ġhv":22747,"Std":22748,"ĠHold":22749,"Ġsurviv":22750,"ĠAlliance":22751,"ĠEarly":22752,"Behavior":22753,"(font":22754,"/libs":22755,"Ġrectangle":22756,"Ġsinger":22757,"Ġamp":22758,"EqualTo":22759,"Ġ\".\"":22760,"Ġgirlfriend":22761,"å±":22762,"linear":22763,"observ":22764,"Ġpiù":22765,"Ġcomplement":22766,"WithValue":22767,"(password":22768,"take":22769,"Blank":22770,"ĠCompar":22771,"'\",":22772,"_policy":22773,"mongoose":22774,"_FAILED":22775,".report":22776,"Ratio":22777,".PerformLayout":22778,"usable":22779,"mers":22780,"_render":22781,"PEED":22782,"Ġlesb":22783,"ĉE":22784,"_tool":22785,"Ġladies":22786,"оÑģ":22787,"))))Ċ":22788,";;;;":22789,".dot":22790,"Ġnest":22791,"peak":22792,"ukkit":22793,"eca":22794,"_SW":22795,"Ġ&(":22796,"ĠOklahoma":22797,"Ġbanking":22798,"ĠNintendo":22799,"Ġreproduce":22800,"_elements":22801,"_mac":22802,"proxy":22803,"Ġremarkable":22804,"}/${":22805,"Ġouts":22806,".hasNext":22807,"MODE":22808,"Ġanime":22809,".conn":22810,"Unique":22811,"Dom":22812,"Ġimportantly":22813,"itty":22814,"Ġjuice":22815,"Tw":22816,"ĠPartners":22817,"Ġattacking":22818,"Ġportable":22819,"amiento":22820,".PictureBox":22821,".gen":22822,"Ġoptimal":22823,"Ġrecre":22824,"Ġjournalist":22825,"ĠExtract":22826,"ĠMoreover":22827,"ĠmarginTop":22828,".Ap":22829,"Ġfiring":22830,"NaN":22831,"ĉtemplate":22832,"ад":22833,".En":22834,"Ġdefence":22835,"ĠTel":22836,"ilen":22837,"jan":22838,"=data":22839,"ĠUrl":22840,"ĠReuters":22841,"(total":22842,"ĠFifth":22843,"Ġessays":22844,"Ġinterpretation":22845,"Ġcharity":22846,"ĠRules":22847,"Ġsubsection":22848,"styled":22849,"azer":22850,"lags":22851,"LIST":22852,"Ġuploaded":22853,"Ġtrash":22854,"Ġregistr":22855,"Ġseller":22856,">';čĊ":22857,"ĠstartTime":22858,"çĻ":22859,"sy":22860,"(HttpServletRequest":22861,"Ġtrap":22862,"GC":22863,"Ġembedded":22864,"Ġsurrounded":22865,"imits":22866,"TX":22867,"ylinder":22868,"ĠFal":22869,"Ġsentences":22870,"ĠJa":22871,"IFICATION":22872,"weapon":22873,"ovation":22874,"Ġcoat":22875,"Ġinterpol":22876,"Ġlips":22877,"ĠKy":22878,"Ġvectors":22879,"_am":22880,"Ġintake":22881,".world":22882,"Ġinbox":22883,"ĠMAC":22884,"_ab":22885,"(nameof":22886,"Ġentert":22887,"Ġgathering":22888,"ĠSIM":22889,"++.":22890,"nya":22891,"'}}":22892,"ĠUPDATE":22893,"Ġpac":22894,"(html":22895,"ĠSant":22896,"iating":22897,"ĠIdeas":22898,"Ġspray":22899,"ĠHart":22900,"Ġverification":22901,"adesh":22902,"/modules":22903,"ĠMind":22904,"ĠSizedBox":22905,"Ġshelter":22906,"Ġheroes":22907,"atty":22908,"Ġcertified":22909,"sj":22910,"Ġêtre":22911,"ÅĤo":22912,"Ġpublishing":22913,"ĠMalays":22914,".getUser":22915,"ĠProvider":22916,"ĠLinkedList":22917,"ĠBor":22918,"ROUND":22919,"did":22920,"tain":22921,"pire":22922,"ĠJenn":22923,"tel":22924,"ande":22925,"_front":22926,"ĠMcG":22927,"TestMethod":22928,"à¸Ń":22929,"Ġoccasionally":22930,"ĠWales":22931,"Ġexercises":22932,"ĠÐĴ":22933,"-plus":22934,"Ġvalidator":22935,"Ġprayer":22936,"LATED":22937,"_author":22938,"Ġlabour":22939,"++Ċ":22940,"-equiv":22941,"ĠGPL":22942,"Ġfacebook":22943,"simple":22944,"gly":22945,"Processor":22946,"ipy":22947,"Ġ*>":22948,"Ġcleared":22949,"ĠPush":22950,"Ġpenis":22951,"Structure":22952,"lij":22953,"ĠMorgan":22954,"Ġhandful":22955,"\".Ċ":22956,"|\\":22957,"Ġ********************************":22958,"ĠAqu":22959,"_IC":22960,".loads":22961,"Ġmeter":22962,"ĠMarine":22963,"::{":22964,"ĠTS":22965,"ĠArrays":22966,".Title":22967,"GRAM":22968,"termin":22969,"Ġcoinc":22970,"Else":22971,"_states":22972,"-run":22973,"members":22974,"astro":22975,"ĠonPress":22976,"Ġbeings":22977,"Ġabandoned":22978,"Ġtaxp":22979,"owners":22980,".mode":22981,"Ġdiagnosis":22982,"Ġ_Ċ":22983,"ĠKnight":22984,"ĉA":22985,"Ġobserve":22986,"),'":22987,"!\")Ċ":22988,"ĠPara":22989,"Ġvariation":22990,"(False":22991,"ĠAnti":22992,"Ġgri":22993,"Ġhomeless":22994,"?v":22995,"Ġbez":22996,".Server":22997,"release":22998,"ĠPatri":22999,"Ġchars":23000,"Ġranking":23001,"activation":23002,"Ġwides":23003,"qr":23004,".Sql":23005,"acular":23006,"ĠBot":23007,"_sync":23008,"Ġhappiness":23009,"Ġvolunteers":23010,"Ġsits":23011,"/<":23012,"[e":23013,"(fileName":23014,"Ġcapac":23015,"ĠMaria":23016,"father":23017,"Ġgram":23018,"*i":23019,"Ġcaso":23020,"_draw":23021,"ĠRaw":23022,"ĠIterator":23023,"ĠPadding":23024,"PD":23025,"BOX":23026,"ĠSPECIAL":23027,"Ġfecha":23028,"Ġvide":23029,"ĠLeader":23030,"以":23031,"$(\".":23032,"Ġdiameter":23033,"Ġmild":23034,"Ġrocks":23035,"appings":23036,"directory":23037,".flush":23038,"ĠJess":23039,"UNIT":23040,"ĠPear":23041,"Ġmandatory":23042,"Sur":23043,"qt":23044,"Ġstreams":23045,"Ġcooperation":23046,"ĠSac":23047,"Ġcheaper":23048,"ĉch":23049,"animation":23050,"fare":23051,"(height":23052,"(True":23053,"NY":23054,"Ġwrest":23055,"Ġpolls":23056,"Ġencountered":23057,"ĠMarketable":23058,"_PASSWORD":23059,"_SELECT":23060,"ĠArabia":23061,"_clock":23062,"Ġvoy":23063,"Ġиз":23064,"Ġstir":23065,"isible":23066,"-effect":23067,".created":23068,"Ġtoys":23069,"ĠTradable":23070,"Ġrust":23071,"Ġstrcpy":23072,"_timestamp":23073,"Ġtalented":23074,",null":23075,"ĠJobs":23076,"ĠPortland":23077,"Ġweakness":23078,"Throw":23079,"ĠAngel":23080,"ä¿®":23081,"Ġuncert":23082,"ï¼īĊ":23083,"ĠìĿ´":23084,"Which":23085,"Ġ[-]:":23086,"Something":23087,"Ġconvicted":23088,"kle":23089,"edium":23090,"Ġbranches":23091,"Ġbases":23092,"ç®":23093,"Ġcomplexity":23094,"ĠFig":23095,".reshape":23096,"$db":23097,"_CONST":23098,"ĠTes":23099,".runtime":23100,"Ġdeny":23101,"ĠBSD":23102,"Ġkr":23103,"hatt":23104,"ĠStatic":23105,"Ġuniversities":23106,"Replace":23107,"Ġdrove":23108,"Ġadoles":23109,"_plugin":23110,"ĠLGBT":23111,"Ġtex":23112,"duction":23113,"EDI":23114,"ĠTed":23115,"_URI":23116,"Ġreception":23117,"arten":23118,".Single":23119,"rice":23120,"scious":23121,"_bg":23122,"Ġwages":23123,"ĠServlet":23124,"UILayout":23125,"Ġformatted":23126,".Mod":23127,"',Ċ":23174,"Ġexpanding":23175,"ĠHamilton":23176,"ĠContrib":23177,".Tables":23178,"Activ":23179,"HH":23180,"ocommerce":23181,"_;":23182,"Ġamongst":23183,"owing":23184,"ĠCold":23185,"APH":23186,"Ġpsychological":23187,"_tensor":23188,"Ġpackaging":23189,"ĠSweden":23190,"Ġpare":23191,"Ġaggregate":23192,"Ġmoderate":23193,"_hand":23194,"Ġdesignated":23195,"Ġdrum":23196,"ĠgetUser":23197,"ĠCreek":23198,"_scope":23199,"ĠTransfer":23200,"ĠMarg":23201,"Ġfighters":23202,"Wnd":23203,"ĠSel":23204,"ĠLaunch":23205,"Ġemerging":23206,"iframe":23207,"ĠAdditional":23208,"Ġfears":23209,"Ġsatellite":23210,"_:":23211,"Ġdisposing":23212,"GetValue":23213,"HttpPost":23214,"ATIVE":23215,"ulary":23216,"Views":23217,"Ġattending":23218,"ĠTennessee":23219,"ĠMission":23220,"Ġmedication":23221,"ĠWy":23222,"ĠAnna":23223,"ع":23224,"ĠVertex":23225,".types":23226,"Organ":23227,".DataGridViewTextBoxColumn":23228,"ĠRS":23229,"Ġtempo":23230,"(App":23231,"VersionUID":23232,".point":23233,"ĠDutch":23234,"Hours":23235,"LU":23236,"Ġquoted":23237,".builder":23238,"ĠPerfect":23239,"ĠAlways":23240,"_two":23241,"Ġexclusively":23242,"ĠCra":23243,"ificar":23244,"ĠAWS":23245,"ingham":23246,"complex":23247,"kernel":23248,"Ġgravity":23249,"Ġwi":23250,"Ġoverview":23251,"ĠWant":23252,"ĠWP":23253,"(sh":23254,".rotation":23255,"States":23256,"ĠTeen":23257,"_components":23258,"ìĪĺ":23259,"Received":23260,"Ġlyrics":23261,"rites":23262,"ĉĉĉĉĉĠ":23263,"-American":23264,"[num":23265,"/python":23266,"ĠUART":23267,"Ġapple":23268,"ĠJonathan":23269,"Ġmomentum":23270,"ั":23271,"Ĥ¹":23272,"Ġmich":23273,"andra":23274,"Ġbiological":23275,"ĠMens":23276,"Ġ%%":23277,"elsea":23278,"ĠMexican":23279,".randint":23280,"Ġtale":23281,"ĠValidate":23282,"Ġdefeated":23283,".htm":23284,"Ġcopper":23285,"=/":23286,"cosystem":23287,"Ġrip":23288,"decimal":23289,".VISIBLE":23290,"ĠTa":23291,"ĉĉĉĉĉĉĉĉĉĉĉĉĉĉ":23292,"Ġdownloaded":23293,"environment":23294,"Ġnomine":23295,"building":23296,"ĠSpot":23297,"ipheral":23298,"Ġalto":23299,"quet":23300,"ĠFT":23301,"/get":23302,"/master":23303,"WIN":23304,"åħĥ":23305,"West":23306,"argc":23307,"Ġproducers":23308,"ĠMuch":23309,"_storage":23310,"credit":23311,"CONT":23312,"Ġvet":23313,"Ġvoices":23314,"('',":23315,"Ġinstruments":23316,"ĠMSG":23317,"esse":23318,"repository":23319,"omics":23320,"Ġdealer":23321,"Still":23322,"Ġbanner":23323,"ascii":23324,"Ġremarks":23325,"[js":23326,"Ġshorter":23327,"gulp":23328,"Ġmyster":23329,"Ġkun":23330,"ĠBird":23331,"Ġtiene":23332,"nut":23333,"ĠUm":23334,"Ġwise":23335,"Yeah":23336,"INESS":23337,"_begin":23338,"-heading":23339,"Course":23340,"ĠčĊčĊ":23341,"ombie":23342,"graded":23343,"ĠGPS":23344,"Ġże":23345,"Fit":23346,"caption":23347,"ön":23348,"/image":23349,"lia":23350,"(mod":23351,"Ġleak":23352,"enza":23353,"/H":23354,"ĠHappy":23355,"Dist":23356,"nx":23357,"ĠGovernor":23358,"(last":23359,"teacher":23360,"ĠSent":23361,"support":23362,"jectory":23363,"ĠÙħ":23364,"Registration":23365,"ĠGray":23366,",false":23367,"Ġadjusted":23368,"(settings":23369,"'Ċ":23431,"-fold":23432,"æĬ":23433,"ĠBetter":23434,"Ġ\"\\<":23435,"spacing":23436,"Ġfurnished":23437,"oser":23438,"]}Ċ":23439,"Ġ$\"":23440,"pull":23441,".Post":23442,"(ip":23443,"Ĺı":23444,".front":23445,"nte":23446,"ĠFM":23447,"guid":23448,"Ġnegotiations":23449,"agonal":23450,"Ġtremend":23451,"ungeon":23452,"Adv":23453,"carousel":23454,"ÃŁe":23455,"_DESC":23456,"Ġhammer":23457,"áºŃ":23458,"ĠĠĠĠĠĠĠĠĊĊ":23459,"-core":23460,"-service":23461,"Ġcorners":23462,"ĠSF":23463,"pred":23464,">A":23465,"ĠJLabel":23466,"Ġromantic":23467,"Ġtestimony":23468,"osc":23469,"ĠGeneration":23470,"asures":23471,"_internal":23472,"Ġprints":23473,"Ġ])Ċ":23474,"ĠCleveland":23475,"repo":23476,"Disc":23477,"Ġ\">Ċ":23478,"����":23479,"Ġnearest":23480,"_tb":23481,"(require":23482,"EOF":23483,"-child":23484,"Ġbudd":23485,".XtraEditors":23486,"alties":23487,"\\\":\\\"":23488,"Words":23489,"Ġlocally":23490,"Ġpurchases":23491,"Drawer":23492,"extract":23493,"Ġexecut":23494,"}'.":23495,"userdata":23496,"Ġfocuses":23497,"-minute":23498,"ĠPublish":23499,"ogo":23500,"Ġmountains":23501,"Bot":23502,"}>{":23503,"Ġtension":23504,"rod":23505,"mesh":23506,"Ġtransformed":23507,",R":23508,"()}Ċ":23509,".long":23510,"Ġgorgeous":23511,"ĠSchedule":23512,"Ġoldest":23513,"Ġsubprocess":23514,"(IN":23515,"yect":23516,"ĠCooper":23517,"arness":23518,"ĠMonitor":23519,".part":23520,"ĠNBC":23521,"Ġcotton":23522,"Ġhol":23523,"Ġrgba":23524,"ĠBio":23525,"Continue":23526,"Pod":23527,"Ġparticipating":23528,"clusions":23529,"(ByVal":23530,"ì":23531,"ĠHOW":23532,"_setopt":23533,"Ġaccompanying":23534,"aton":23535,"Ġ/\\":23536,"ĠAuthentication":23537,"ién":23538,"ĠBarack":23539,"/*.":23540,"Ġeager":23541,"ĠCancel":23542,"$":23586,"OLEAN":23587,"OKIE":23588,"IBILITY":23589,"UAGE":23590,"ĠSurvey":23591,"Ġresign":23592,"wing":23593,"Ġsecrets":23594,"Ġchips":23595,"JSONObject":23596,"Desktop":23597,"_SYMBOL":23598,"(resource":23599,"ĠĊ":23600,"Ġnewest":23601,"uli":23602,"Ġdesert":23603,"Ġdip":23604,"ĠPow":23605,"Ġequation":23606,"Ġpossibilities":23607,"ĠFed":23608,"osph":23609,"Ġ[%":23610,"Ġbubble":23611,"etherlands":23612,"Ġcement":23613,".auto":23614,"_AN":23615,"âĢĻ.":23616,"selection":23617,"ĠBond":23618,"Den":23619,"-O":23620,".getType":23621,".Window":23622,"pres":23623,"Ġswinger":23624,"\"})Ċ":23625,"Ġpip":23626,"Ġmice":23627,"Ġcompound":23628,"-plugin":23629,"iko":23630,"Ġcenturies":23631,"icular":23632,"-inline":23633,"ĉkey":23634,">\\<":23635,"ENSION":23636,"Ġ[čĊ":23637,"Ġprecisely":23638,"Ġété":23639,"ĠPast":23640,"ĠCambridge":23641,"-full":23642,"Ġanalyze":23643,"ĠSteven":23644,"Ġnem":23645,"due":23646,"oren":23647,"Ġmuscles":23648,"ijing":23649,"/-":23650,"ĠKennedy":23651,"RM":23652,"ossible":23653,"Ġactress":23654,"Ġdolor":23655,"å½ķ":23656,"Need":23657,".toggle":23658,"ĠRace":23659,"wers":23660,".material":23661,"ĠDue":23662,"ĠPel":23663,"#print":23664,"Ġindependence":23665,"exus":23666,"Shadow":23667,"Ġencoder":23668,"(level":23669,"ĠSwift":23670,".doc":23671,"_selection":23672,"ĠserialVersionUID":23673,"Labels":23674,"Ġperformances":23675,".Tag":23676,"ĠNHL":23677,"izen":23678,"/UIKit":23679,"_CONTROL":23680,"Ġearnings":23681,"ĠAlt":23682,"_HANDLE":23683,"Ctx":23684,"Ġpersu":23685,"Ġtran":23686,"ç¨":23687,"_CHANNEL":23688,"Ġsatisfaction":23689,"ĠGP":23690,"iox":23691,"mitt":23692,"lando":23693,"Ġpig":23694,"inals":23695,"ência":23696,"Surface":23697,"ĠUUID":23698,"Ġbeneficial":23699,"Ġsequences":23700,"ĉmemset":23701,"Ġmagical":23702,"«":23703,"Ġworn":23704,"ASC":23705,"popup":23706,"COMP":23707,"_before":23708,"eness":23709,"Ui":23710,"Les":23711,".require":23712,".Serializable":23713,"addGap":23714,"Ġauthorization":23715,".pyplot":23716,"urray":23717,"latitude":23718,"frames":23719,"ajs":23720,"Ġcompass":23721,"Ġobservations":23722,"_sup":23723,".environ":23724,"Ġtriple":23725,"ĠRuby":23726,"Ġdrain":23727,"_FILTER":23728,"San":23729,"UMP":23730,"NullException":23731,"ĠGab":23732,"owe":23733,"ĠTurkish":23734,"_sequence":23735,"ĠGrant":23736,"uela":23737,"Ġwo":23738,"Ġcube":23739,"iq":23740,"Ġdisorders":23741,"Ġextraordinary":23742,"Ġctrl":23743,"ĠSeq":23744,"entr":23745,"Ġsanctions":23746,"utsch":23747,"Reports":23748,"Ġinherit":23749,"Period":23750,"Ġphotography":23751,"ĠFramework":23752,"Ġspecialist":23753,"Ġ?ĊĊ":23754,"_selected":23755,".Player":23756,"Ġallocation":23757,"(account":23758,"Ġstructural":23759,"vable":23760,"-offset":23761,".AppCompatActivity":23762,"ам":23763,".AddWithValue":23764,"Ġicons":23765,"Ġshutdown":23766,"_low":23767,"ĠCompare":23768,"ĠCe":23769,"=head":23770,"lam":23771,".predict":23772,"_DEC":23773,"ĠSleep":23774,"ĠGratis":23775,"Ġsuggestion":23776,"ĠDEL":23777,"caff":23778,"avirus":23779,"Nothing":23780,"ŀĭ":23781,"Ġwidespread":23782,"Ġmechanisms":23783,"ĠtextAlign":23784,"occup":23785,"ĠRail":23786,":NS":23787,"Ġfiber":23788,"Ġmk":23789,"Ġvintage":23790,"-long":23791,".reduce":23792,".Entities":23793,"(record":23794,"Ġpleasant":23795,"FRING":23796,".Cells":23797,"OTT":23798,"ĉelseif":23799,"_confirm":23800,"ĠViewGroup":23801,"sym":23802,"Ġpray":23803,"Ġsuspected":23804,"Contains":23805,"Ġborders":23806,"ĠcomponentDid":23807,"ASSERT":23808,"Ġinfinite":23809,"-order":23810,"Ġhello":23811,"ĠGrade":23812,".currentTimeMillis":23813,"apolis":23814,"zh":23815,"ĉObject":23816,":\\\\":23817,"HO":23818,"valuation":23819,"Ġvocab":23820,"Ġcoupon":23821,"atabases":23822,".GetType":23823,"Learn":23824,"]=\"":23825,"ĠGary":23826,"otive":23827,"Ġash":23828,"Ġbib":23829,"XXXX":23830,"Ġbalanced":23831,"VALUE":23832,"ĠNat":23833,"_Ad":23834,"<":23976,"Ġfool":23977,"Ġesk":23978,".Null":23979,"ĠDies":23980,"_OUTPUT":23981,"_TYPED":23982,"Ġpainted":23983,"Ġsophistic":23984,"ĠBear":23985,"*n":23986,"_PACK":23987,"Ġdelivering":23988,"ĠCOUNT":23989,"åįķ":23990,"Ġjeg":23991,"-car":23992,"fname":23993,"Ġranging":23994,"ĠNeg":23995,"/******/":23996,"ĠCHAR":23997,"Ġultra":23998,"Grad":23999,"=t":24000,"Ġjudges":24001,"ĠDise":24002,"anners":24003,"Ġscal":24004,"_cal":24005,"ĠCONNECTION":24006,"_embed":24007,"(fn":24008,"ĠCraft":24009,"ĠPas":24010,"\")->":24011,".convert":24012,".resource":24013,"ĠSTATUS":24014,"ông":24015,"ĠTit":24016,"Ġclassroom":24017,"ĠArchitect":24018,"ĠKings":24019,"Ġsteady":24020,"/*!Ċ":24021,"ĠGene":24022,")\";Ċ":24023,"icia":24024,"stan":24025,"ĠConstruction":24026,"umper":24027,"wc":24028,"ĠCBS":24029,"inging":24030,"-party":24031,"(driver":24032,"MARK":24033,"Ġnested":24034,"eward":24035,"Ġdependency":24036,"Ġmales":24037,"ĠONE":24038,"ĠProduction":24039,"][$":24040,"ãĥ¼ãĥ":24041,"_LOAD":24042,"ĠBol":24043,"elry":24044,"łéĻ¤":24045,"ĠRequire":24046,"Ġplacing":24047,"xxx":24048,"CALE":24049,"Ġthumb":24050,"Choose":24051,"Ġprototype":24052,"VOID":24053,"Ġlesbian":24054,"Ġtraits":24055,"Sharp":24056,"Ġconsume":24057,"Truth":24058,"ĠactionPerformed":24059,"ĠEnvironmental":24060,"ĠDean":24061,"Ġestado":24062,"same":24063,"Ġnumeric":24064,"Ġtransit":24065,".Email":24066,"-side":24067,"_RUN":24068,"ĠVillage":24069,"_OPEN":24070,"è¦":24071,".rem":24072,"-warning":24073,"anya":24074,"PropertyChanged":24075,"Ġ(!_":24076,"(check":24077,"ilia":24078,"ĠSoft":24079,"steps":24080,"ĠMadrid":24081,"MemoryWarning":24082,"Ġhandlers":24083,"Ġexperiencing":24084,"Ġinspect":24085,"buttons":24086,"ReceiveMemoryWarning":24087,"chemy":24088,"Links":24089,"Ġurllib":24090,".SystemColors":24091,"ĠEigen":24092,"Ġpunishment":24093,":UIControl":24094,"bara":24095,"-set":24096,"Ġ}čĊčĊčĊ":24097,"Ġtolerance":24098,"Ġinterfaces":24099,".redirect":24100,"ighbors":24101,"csrf":24102,"_background":24103,".Utils":24104,"_HT":24105,"ĠInterest":24106,"imos":24107,"Ġgrants":24108,"Ġexamined":24109,"ÐĶ":24110,"Ġcf":24111,"forge":24112,"backs":24113,"ĠObjects":24114,"_sent":24115,".entry":24116,"ĠTHEN":24117,"ellido":24118,"cia":24119,",res":24120,"/stdc":24121,".nd":24122,"(Int":24123,"ĠAuthors":24124,"ĠAppCompatActivity":24125,"'{":24126,"Ġmedi":24127,"Music":24128,"igm":24129,"ceipt":24130,"Ġauss":24131,"Ġtargeting":24132,"ĠKeys":24133,"hn":24134,":]Ċ":24135,"Ġmineral":24136,"î":24137,".ca":24138,"omed":24139,"Ġsheets":24140,"Ġcamb":24141,"Ġdeadly":24142,".inject":24143,"(unit":24144,"ĠSelection":24145,".gms":24146,"(connection":24147,"Ġ$(\"":24148,"émon":24149,"ĠCurrently":24150,"pte":24151,"_paths":24152,"leaf":24153,"Ġimplications":24154,"posal":24155,"ä½į":24156,"[/":24157,"ancia":24158,"éĽ":24159,"mul":24160,"cie":24161,"Ġgeile":24162,"imals":24163,"UIView":24164,"Ġsurre":24165,"serialize":24166,"ISO":24167,"Ġarbitrary":24168,"Ġsockaddr":24169,".fn":24170,"ĠMerc":24171,"Ġcasting":24172,"KeyDown":24173,"ĠnewValue":24174,"opens":24175,"Todo":24176,"Ġflexibility":24177,"ĉĉĉĉĠĠ":24178,"Velocity":24179,"ún":24180,"rowing":24181,"Ġcomputed":24182,"`)Ċ":24183,"statement":24184,"Ġri":24185,"_cart":24186,"Low":24187,"transfer":24188,".nav":24189,"Ġgrave":24190,"ĠDoor":24191,"ĉalert":24192,".subscribe":24193,"-profile":24194,"ĉbase":24195,"ĠâĪĴ":24196,"__ĊĊ":24197,"Ġengineers":24198,"Ġexplosion":24199,"Ġdari":24200,"ĉLog":24201,"onal":24202,"Ġisolated":24203,"{i":24204,"ĠMsg":24205,"Future":24206,"Ġracist":24207,"-wrap":24208,"ĠVers":24209,"borg":24210,"ISION":24211,"ĠÑĢаÐ":24212,"ĠYan":24213,"initWith":24214,"Ġnomin":24215,"(empty":24216,"ÃŃn":24217,"ãĤ¤":24218,"ĉwidth":24219,"Ġchamber":24220,"/ajax":24221,"EMP":24222,"Ġneces":24223,"ivos":24224,"logic":24225,"*)&":24226,"cripts":24227,"RowAt":24228,"iblings":24229,"Ġears":24230,"Ġcomputing":24231,"Ġmaker":24232,"ĠNeither":24233,"breadcrumb":24234,"Ġserialize":24235,"ĠWithin":24236,"Ġdell":24237,"_TRACE":24238,"=a":24239,"Ġwishes":24240,"-inch":24241,"ĠDor":24242,"Ġinnocent":24243,"ĠDol":24244,"Ġintens":24245,"forced":24246,"ĠBIT":24247,"Ġphotographs":24248,"Ġcasa":24249,"ĠLen":24250,"\\Framework":24251,".Simple":24252,"Ġdear":24253,")/(":24254,"ippi":24255,"Ġowns":24256,"Players":24257,"Ġproposals":24258,".pi":24259,"usalem":24260,"Damage":24261,"Ġcalories":24262,"ĠCreative":24263,"Ġ[$":24264,"Ġ//čĊ":24265,"AndView":24266,"ème":24267,".custom":24268,"_factory":24269,"commands":24270,"_look":24271,"Ġstrcmp":24272,"YN":24273,"aired":24274,"Ġaudit":24275,"оÑģÑĤ":24276,"ĠReverse":24277,"ropriate":24278,"etics":24279,"';Ċ":24352,"Ġpepper":24353,"Ġshed":24354,"ĠMedium":24355,"ĠCookie":24356,"Ġoverseas":24357,"edor":24358,"asurement":24359,"åŃĺ":24360,"Ġ'.'":24361,"Ġphp":24362,"ĠPROC":24363,"Ġexceptional":24364,"(th":24365,"ĠJet":24366,"Ġoccupied":24367,".setImage":24368,"ĠRelated":24369,"ucker":24370,"Members":24371,"PRINT":24372,"ĠGlo":24373,"_VIEW":24374,"}\",Ċ":24375,"Ġadoption":24376,"[])Ċ":24377,"ĠMissouri":24378,"ĠLincoln":24379,"erald":24380,"Popup":24381,"Ġfate":24382,"-bootstrap":24383,"fections":24384,"ĠPoll":24385,"_ARGS":24386,"inance":24387,"-home":24388,".),":24389,"_done":24390,":ĊĊĊ":24391,"Ġdiscussing":24392,"ĠSQLException":24393,"Ġelectro":24394,"ĉreq":24395,"Ġzw":24396,"Ġlui":24397,"Ġovernight":24398,"$user":24399,"ĠWAY":24400,"Ġallerg":24401,"Ġdisappointed":24402,"Ġradiation":24403,"Ġimpressed":24404,"ificates":24405,"Ġtob":24406,"CLASS":24407,"Ġcuda":24408,"_det":24409,"-post":24410,"ulu":24411,"Translation":24412,"-hand":24413,".year":24414,"ĠMongo":24415,"Ġunclear":24416,".engine":24417,"WEBPACK":24418,"rices":24419,"_ACCESS":24420,"Ġholidays":24421,"percent":24422,".Identity":24423,"ĠGov":24424,"Ġpassionate":24425,"!!.":24426,"ĠGreece":24427,"plusplus":24428,"'));":24429,"GP":24430,"Ġexcit":24431,".tabPage":24432,"_cond":24433,"Ġsponsor":24434,"MODULE":24435,"_proc":24436,"Ġ$Ċ":24437,"Ġrational":24438,".Tool":24439,"Ġihr":24440,"cca":24441,"åĵģ":24442,"ĠEstate":24443,"IBUTE":24444,"ActionPerformed":24445,"ĠSolar":24446,"¦Ĥ":24447,"Ġequity":24448,"tid":24449,"Ġrecip":24450,".simple":24451,"mk":24452,"ĠLuke":24453,"ĠGuardian":24454,"Ġencrypted":24455,"Ġdominant":24456,".place":24457,"ĠNV":24458,"Ġtongue":24459,"(Get":24460,"Ġstainless":24461,".Play":24462,"Ġeb":24463,"aci":24464,".buffer":24465,"readcrumbs":24466,"Ġvaccine":24467,"prom":24468,"ĠuserInfo":24469,"Ġslug":24470,"SerializedName":24471,"-wide":24472,"Ġreactions":24473,"ĠYang":24474,"ĠAdds":24475,"(userId":24476,"Ġplates":24477,"ĠMEM":24478,"Ġbail":24479,"Inside":24480,"eted":24481,"Ġelsif":24482,"Ġsake":24483,"Ġcycles":24484,"ĠìĹ":24485,"ĉI":24486,"-collapse":24487,"ĠGMT":24488,"Declaration":24489,"Ġgros":24490,"Ġreaches":24491,"Ġcustody":24492,"Until":24493,"tu":24494,"ĠChen":24495,"Ġnx":24496,"(addr":24497,"ĠOffer":24498,"Ġcolleg":24499,"assador":24500,"Ġmapper":24501,"ĠSIGNAL":24502,"ĠBloom":24503,"ĠHoll":24504,"ĠImper":24505,"-des":24506,"_site":24507,"Proc":24508,"Equ":24509,"Ġatomic":24510,"ĠWoman":24511,"sent":24512,"scar":24513,"Ġintelligent":24514,"ĠGetting":24515,"ĠRegistration":24516,"ĠPhill":24517,"Ġkiller":24518,"unicode":24519,"ĊĉĉĊ":24520,"ĠJacob":24521,"ĠConst":24522,"Ġlocate":24523,"Ġcaus":24524,"ĠScholar":24525,"Ġconstitutional":24526,"Ġinflation":24527,"ĠGot":24528,"=array":24529,"endum":24530,"Ġtranslated":24531,"Ġdivorce":24532,"Entries":24533,"Ġsor":24534,"ĠQuote":24535,"irlines":24536,"UK":24537,"Ġexcel":24538,"(opt":24539,"ĠADV":24540,",:,":24541,"Ġcontacted":24542,"ĠDA":24543,"Ġrings":24544,"ĠIndustrial":24545,".getContext":24546,"Ġforgotten":24547,"ĠTan":24548,"Ġpants":24549,"Ġov":24550,"Ġdecoder":24551,"ĠPartial":24552,"Ġvc":24553,"Ġbattles":24554,"Arial":24555,"FRINGEMENT":24556,"irates":24557,",w":24558,"aintenance":24559,"ĠOd":24560,"ĠTechnologies":24561,"åīį":24562,"ĠCarter":24563,".findAll":24564,"Nome":24565,"Ben":24566,"ĠUsage":24567,"ĠPicture":24568,"Ġbadly":24569,"_panel":24570,"Ġpatent":24571,"ĠProtocol":24572,"lotte":24573,"ĉplayer":24574,"jections":24575,"Ġdou":24576,"_release":24577,"urniture":24578,"_tax":24579,"ĠFields":24580,".dataset":24581,"_master":24582,"CLUDE":24583,"ĠPharm":24584,"bst":24585,"Ġoperational":24586,".cell":24587,"Ġidentifying":24588,"Ġjwt":24589,"tuple":24590,"ĠTC":24591,"ĠCro":24592,"ixmap":24593,"-components":24594,"general":24595,"Ġoz":24596,"_De":24597,"_double":24598,"ĠToo":24599,".ViewGroup":24600,"gate":24601,"dings":24602,"photos":24603,"Ġgrande":24604,"ollect":24605,"_lin":24606,"Ġawful":24607,"filters":24608,"Ġalternate":24609,"esp":24610,"Ġcompress":24611,"eo":24612,"ĠScale":24613,"Ġindirect":24614,"Ġinvoice":24615,"ĊĊĊĊĊĊĊĊĊĊĊĊĊĊĊĊ":24616,"Starting":24617,"ĠPlayers":24618,"iele":24619,".then":24620,"Ord":24621,"ĠTuple":24622,"Ġbout":24623,"ĠStatistics":24624,"Preview":24625,"Ġpuzzle":24626,"ĠWidth":24627,"STATE":24628,"Ġoverlay":24629,"ĉon":24630,"Ġinfr":24631,"Ġsmallest":24632,"locked":24633,"ÑĤо":24634,"ssl":24635,"Ġdeemed":24636,"Ġsco":24637,"reck":24638,"ĠjButton":24639,"Ġmissions":24640,"称":24641,".SelectedIndex":24642,"TABLE":24643,"Sept":24644,"Ġacknowledge":24645,"Ġstrtotime":24646,"ĠTell":24647,"ĠDak":24648,"Ġaluminum":24649,"Ġfence":24650,"ĠStars":24651,"CONFIG":24652,"Ġretrofit":24653,"Ġemphasis":24654,"/header":24655,"ĠSomething":24656,"inished":24657,"='\".$":24658,"ĠValidators":24659,"Ġpolar":24660,"sections":24661,".aspx":24662,"Ġaspir":24663,".Mock":24664,"CodeGen":24665,"Ġpeut":24666,"Ġaccepting":24667,"Ġbacking":24668,"Picture":24669,"/ap":24670,"ег":24671,"_SEC":24672,"-use":24673,"annotation":24674,"Ġcognitive":24675,"Ġgrip":24676,"hour":24677,"ĠLegal":24678,"Ġepic":24679,".toolStrip":24680,".notify":24681,".Last":24682,"ORIZ":24683,"Middleware":24684,"criptions":24685,"lash":24686,"_FOUND":24687,"ĠLiverpool":24688,"Ġ{}\",":24689,"Install":24690,"Ġnit":24691,"Ġfigured":24692,"[len":24693,".Win":24694,".platform":24695,"Ġgambling":24696,"(dt":24697,"avery":24698,"ĉinclude":24699,"Whether":24700,"Routing":24701,"Ġtherap":24702,"Remote":24703,"ĠLoss":24704,"yll":24705,"Ġapproached":24706,"ĠVehicle":24707,"ĠAlpha":24708,"Ġvocê":24709,"answers":24710,"NSDictionary":24711,"consider":24712,"unused":24713,"ĠFan":24714,"orable":24715,"fre":24716,"ĠDISCLAIM":24717,"ĠActor":24718,".]":24719,"toHave":24720,".userId":24721,"Ġspeeds":24722,"eway":24723,"Ġrecurs":24724,"Ġг":24725,"_priv":24726,"!âĢĿĊĊ":24727,"Choice":24728,"Ġsettle":24729,"Ġplanes":24730,"'},":24731,"Tom":24732,"ITER":24733,"!\"Ċ":24734,"å»":24735,"achelor":24736,"Ġseparation":24737,"Ġdal":24738,"adj":24739,"Ġregisters":24740,"riz":24741,"ĠNotice":24742,"Ġlu":24743,"Ġcourage":24744,"Ġaxes":24745,"cellent":24746,".async":24747,"Ġcompatibility":24748,"ç«":24749,"Ġ!ĊĊ":24750,"ĉtitle":24751,"YLE":24752,"ĉmessage":24753,"UUID":24754,"OLDER":24755,"ĠHH":24756,"ĠStyleSheet":24757,"Ġaccessed":24758,".validation":24759,"tasks":24760,"Ġpollution":24761,".canvas":24762,"Ġingredient":24763,"ĠCabin":24764,"Ah":24765,"oldown":24766,"ĠNOI":24767,"ĠÃĹ":24768,"[f":24769,"educ":24770,"yalty":24771,"(not":24772,"_State":24773,"amen":24774,"Ġdao":24775,"udad":24776,"ellers":24777,"}&":24778,"licity":24779,"_WINDOW":24780,"Ġtatto":24781,"valor":24782,".Range":24783,"Ġreferenced":24784,"ĠReserve":24785,"Money":24786,"SCRIPT":24787,"/product":24788,"choices":24789,"Ġtin":24790,"ãĤĵ":24791,"Ġseparator":24792,"Ġpkg":24793,"ammed":24794,"ĠMAT":24795,"!!ĊĊ":24796,"Ġraid":24797,"Ġmotivation":24798,"ĠXP":24799,"ĠBackground":24800,"ĠQuaternion":24801,".defineProperty":24802,"iker":24803,"ĉparent":24804,"ĠOriginally":24805,"antage":24806,"ĠHans":24807,"Ġtimeline":24808,".cur":24809,"opic":24810,"ĠSequ":24811,"must":24812,"ĠCoal":24813,"Ġformatter":24814,"_RGB":24815,"Ġ_(\"":24816,"'}),Ċ":24817,"Ġ=================":24818,"ĠFUNCTION":24819,"Ġlng":24820,"icates":24821,"live":24822,"_engine":24823,"Ġtowns":24824,"'))ĊĊ":24825,"ĠPK":24826,"(api":24827,"ĉscanf":24828,"packet":24829,".phone":24830,"áĢ":24831,"ĠAndy":24832,"_NAMES":24833,"PLY":24834,"Ġmins":24835,"imi":24836,"Ġbrick":24837,"Ġblade":24838,".stdout":24839,"}`;Ċ":24840,"Shift":24841,"ĉsb":24842,"ĠChecks":24843,"Ġphenomenon":24844,"Avatar":24845,"Ġministry":24846,"rose":24847,"ĉFile":24848,"Ġtitled":24849,"(LOG":24850,"Ġgan":24851,"design":24852,"(),čĊ":24853,"Ġbones":24854,"stm":24855,"ÅĽÄĩ":24856,"ĠInputStream":24857,"Ġvolunt":24858,"ĠSerializable":24859,"Ġfighter":24860,"ĠDrag":24861,"Twitter":24862,"Ġsubsid":24863,"ç¼":24864,"Ġforums":24865,".loading":24866,"logged":24867,"_this":24868,"Ġterrain":24869,"Ġirre":24870,"ĠIng":24871,"ĠCN":24872,"_objects":24873,".uid":24874,"Ġconsciousness":24875,"TINGS":24876,"ĠGall":24877,"Ġportray":24878,"ĠDeveloper":24879,"Ġparticipant":24880,"Ġ\";čĊ":24881,"/model":24882,"ĠOperations":24883,"^\\":24884,"ĠLater":24885,"Ġraises":24886,"-none":24887,".meta":24888,"='.$":24889,"Finished":24890,"Ġreplacing":24891,"Ġsampling":24892,"ĠJen":24893,"\"There":24894,"REAL":24895,"ALE":24896,"ìĬ¤":24897,"Orders":24898,"_parameter":24899,"ĠOlympic":24900,"Ġtrès":24901,"Ġarena":24902,"iol":24903,";?>":24904,"Ġimpacts":24905,"ĠWS":24906,":get":24907,"Ġflights":24908,"ĠRussell":24909,"camera":24910,"Fn":24911,"sigma":24912,"Ġforcing":24913,"Ġlocals":24914,"Ġdeparture":24915,"Ġcelebration":24916,"ĠSay":24917,"ï¼Ĵ":24918,"ĠHills":24919,".hasOwnProperty":24920,"Ġtypings":24921,".API":24922,"Ġdonation":24923,"OperationException":24924,".Activity":24925,"cplusplus":24926,"ĠCharlie":24927,"Ġimported":24928,"Ġdann":24929,"Ġoccasions":24930,"Ġimplementing":24931,"Ġpurple":24932,".dialog":24933,"SQLException":24934,"erno":24935,"Ġwars":24936,"Ġpaste":24937,"Ġdecreased":24938,"Ġharsh":24939,"Ġelabor":24940,"inputs":24941,"ĠViews":24942,"ĠerrorMessage":24943,"_mul":24944,"ĉwrite":24945,"ĠCop":24946,"ĠAnnual":24947,"(button":24948,"Ġvida":24949,"bars":24950,"ĠHarvard":24951,"ĉexpect":24952,"Ġindexes":24953,"Ġdocumentary":24954,"Ġflesh":24955,"ORLD":24956,"ĠDelta":24957,"MAND":24958,"Brush":24959,"-column":24960,"Ġdevelopments":24961,"methodVisitor":24962,"slice":24963,"ĠPDO":24964,"Ġinvesting":24965,"irable":24966,"Ġxmlns":24967,"ï¼Ľ":24968,"arta":24969,"Ġtheories":24970,"_city":24971,"Ġ$__":24972,"Creating":24973,"(pr":24974,"Dropdown":24975,"ismatch":24976,"ĠNET":24977,"'])){Ċ":24978,"ĠValues":24979,"ĠSEO":24980,"ĠSTAT":24981,"Ġecosystem":24982,"Ġtempt":24983,"Ġ\\\\":24984,"Ġ//{Ċ":24985,"ĠChristopher":24986,"ĠKentucky":24987,"ĠHttpServletResponse":24988,"Ġhybrid":24989,"yon":24990,"Ġfeeding":24991,"ĠExtra":24992,"Norm":24993,"ITCH":24994,"ĠSean":24995,"ĠUpload":24996,"mun":24997,"pur":24998,"Ġpersistent":24999,"ĠIDC":25000,"ĠPerform":25001,".merge":25002,"_room":25003,"Meanwhile":25004,"!='":25005,"ĠWel":25006,"ArgsConstructor":25007,".Database":25008,"Ġcounting":25009,"()*":25010,"ĶåĽŀ":25011,"ĠTOP":25012,"mill":25013,"ĠDT":25014,"IGNED":25015,"ĠKB":25016,"Ġcomply":25017,"South":25018,"_collection":25019,"Chapter":25020,"Ġexplaining":25021,"_AM":25022,"_ts":25023,"cards":25024,"Ġquel":25025,"Ġpole":25026,"Ġtouchdown":25027,"ĠOthers":25028,"Ġpeers":25029,"ĠTypeError":25030,"Ġsixth":25031,"Ġcheer":25032,"Ġdispute":25033,"usc":25034,")],":25035,"thumb":25036,"Ġhiding":25037,"ĠSIG":25038,"likes":25039,"ĠPAGE":25040,".Reflection":25041,"Ġheadquarters":25042,"TING":25043,"ĠGhost":25044,"MLE":25045,"$Ċ":25046,"Ġcontrary":25047,"extend":25048,"']).":25049,"FFECT":25050,"ĠPinterest":25051,"úmero":25052,"ricane":25053,"ĉsession":25054,"Ġcrystal":25055,"-Control":25056,"overnment":25057,"ograf":25058,"-action":25059,"volume":25060,"ften":25061,"Ġuncon":25062,"Ġanimate":25063,"Ġlease":25064,"scr":25065,"Ġrefuse":25066,"ãĢĭ":25067,"ftp":25068,"information":25069,"Ġevaluated":25070,"Ġinjection":25071,"Ġjack":25072,"Ġworkshop":25073,"注":25074,"PTH":25075,"ĠTs":25076,"offer":25077,"ĉos":25078,"Ġkingdom":25079,"Missing":25080,"Ġlawmakers":25081,"extField":25082,"Ġsinging":25083,"abi":25084,"/client":25085,".media":25086,"ATEGORY":25087,"Signature":25088,"%',Ċ":25089,"ĠFuck":25090,"][:":25091,"Ġsensors":25092,"/com":25093,"ĠPrimary":25094,".SQL":25095,"_program":25096,"Ġpills":25097,"Ġintegral":25098,"Ġfleet":25099,"Ġdropping":25100,".sl":25101,"Been":25102,"Ġpets":25103,"Ġadvised":25104,"Ġdragon":25105,"_EDIT":25106,"(im":25107,"FER":25108,"ĠDrug":25109,"(random":25110,"Ġcompression":25111,"oust":25112,"[%":25113,"Ġbuyer":25114,"hop":25115,"Roles":25116,"manage":25117,"Ġpainful":25118,"ĠBranch":25119,"-modal":25120,"enant":25121,"ĠMesh":25122,"/font":25123,"ĠGraham":25124,"Ġâĺ":25125,"Ġnc":25126,"ĠFrancis":25127,"Ġspecification":25128,"Ġdamages":25129,"-config":25130,"Ġtheoret":25131,"secure":25132,"_multi":25133,"aceutical":25134,"Ġdemanding":25135,"enne":25136,"ISTS":25137,"()));ĊĊ":25138,"Reason":25139,"Recent":25140,"phase":25141,"Ġpsy":25142,"_MAN":25143,"Ġvolunteer":25144,"å¿":25145,"istributed":25146,"lio":25147,"Ġproductivity":25148,"_comm":25149,"Spring":25150,"nis":25151,".weight":25152,"ĠCancer":25153,"Alloc":25154,"ĠTweet":25155,"Ġseparately":25156,"ĉcheck":25157,"_properties":25158,".Unit":25159,"_CLK":25160,"Ġgt":25161,"Ġ();ĊĊ":25162,"Ġhandy":25163,"ĠThompson":25164,"Ġunnecessary":25165,"ĠReader":25166,"GN":25167,"=request":25168,"ĠUtility":25169,".Repository":25170,"ĠAx":25171,"hydr":25172,"ieu":25173,"Ġthy":25174,"Ġlt":25175,"_mail":25176,"ä¿®æĶ¹":25177,"ailand":25178,"ĠPhilip":25179,"Ġbitter":25180,"Ġbetting":25181,"Ġtimed":25182,"ocks":25183,"'a":25184,"Ġalgorithms":25185,"Ġreinterpret":25186,"Ġtoss":25187,"rogen":25188,"Ġhoped":25189,"(selected":25190,"Ġventure":25191,"TEX":25192,"ĠLeave":25193,".Substring":25194,"Ġgrateful":25195,"uka":25196,"ĠConsumer":25197,"Ġaggreg":25198,"Circle":25199,"à¸ģ":25200,"_blocks":25201,"Ġlegally":25202,"Ġ\"|":25203,"ãĥĥ":25204,".board":25205,".Ab":25206,"Functions":25207,"recipe":25208,"èĩ":25209,"ĠOxford":25210,"Ġwholes":25211,".Build":25212,"_changed":25213,"hai":25214,"Ġdepartments":25215,"Imp":25216,"Ġcoalition":25217,"INFRINGEMENT":25218,"Ġempower":25219,"itches":25220,"North":25221,"Ġinflamm":25222,"ONSE":25223,"Ġmissile":25224,"ĠRaj":25225,"ĠIssue":25226,"Ġatoi":25227,"caled":25228,".Controllers":25229,"ĠWolf":25230,"Ġcrushers":25231,"á»ĩ":25232,".Auth":25233,".addAttribute":25234,"his":25235,"Ġboots":25236,".clean":25237,"camp":25238,"Ġtenant":25239,"Ġtune":25240,"Ġ{}'.":25241,"Ġworkout":25242,"Repo":25243,"Ġpartially":25244,"MISSION":25245,"jamin":25246,"ĠSB":25247,"Ġdetermination":25248,"Ġ'');Ċ":25249,"ĠBeng":25250,"Ġvos":25251,"Ġinhab":25252,"/lang":25253,"sburgh":25254,"Executor":25255,"hone":25256,"ĠChallenge":25257,"_links":25258,".Level":25259,"Ġunderground":25260,"-code":25261,"Ġoptimization":25262,"logging":25263,"_dest":25264,"Ġsnake":25265,"Ġchemicals":25266,"_IMPORTED":25267,"adoop":25268,"ĠTHAT":25269,"managed":25270,"Ġreduces":25271,"ĠREAL":25272,"ĠGuy":25273,"_GENERIC":25274,"/********************************":25275,".amount":25276,"Ġdere":25277,"getTime":25278,"Ġpant":25279,"anonymous":25280,"Ġharmony":25281,"ĠAlan":25282,"Ġscenarios":25283,"Ġdirt":25284,"htags":25285,"Mc":25286,"Shell":25287,"rin":25288,"{čĊčĊ":25289,".pow":25290,"ĉclient":25291,"Ġconspiracy":25292,"Ġadmission":25293,"ĠRegional":25294,"ĠViewController":25295,"ĠPhilippines":25296,"Ġdepos":25297,"Ġpap":25298,"ĠPad":25299,"Paul":25300,".ComboBox":25301,"Ġtutor":25302,"ĠRecipe":25303,"writing":25304,"Ġcontributor":25305,"OTH":25306,"Small":25307,"VI":25308,"Ġhacer":25309,"equ":25310,"ĠExamples":25311,"human":25312,".messages":25313,"ĉtyp":25314,"Ġ(čĊ":25315,"ĠSSL":25316,"LEN":25317,"ĠRomney":25318,"(grid":25319,"ĉmin":25320,"Ġ>ĊĊ":25321,"Ġfruits":25322,"Ġvoter":25323,"Inline":25324,"pane":25325,"ĠCollections":25326,"charset":25327,"Ġspam":25328,"zb":25329,"itemap":25330,"Ġsucceeded":25331,"_COL":25332,"Ġelapsed":25333,"imeter":25334,"Ġrecovered":25335,"Tensor":25336,"hattan":25337,".setup":25338,"isto":25339,"(head":25340,"ĠSIZE":25341,"Ġtactics":25342,"Ġdistur":25343,"Ġpreval":25344,"icios":25345,"(Value":25346,"_cols":25347,"ĠFat":25348,"Ġseal":25349,"Ġsons":25350,"Ġensures":25351,"Ġpressing":25352,"=&":25353,"igenous":25354,"Ġharassment":25355,"_JSON":25356,"Ġignor":25357,"ynomial":25358,"omer":25359,"_static":25360,"Ġsignificance":25361,"Ġcircles":25362,"_System":25363,"Ġdiscipline":25364,"Ġdressed":25365,"Ġsphere":25366,"Ġclimb":25367,"_actions":25368,"ĠBab":25369,"Ġ'=',":25370,"_schema":25371,"\"use":25372,"Ġunders":25373,"Ġcups":25374,".screen":25375,"/new":25376,"Ġappearing":25377,"TOP":25378,"vised":25379,"clang":25380,"Ġinvestigators":25381,"Ġmysterious":25382,"Ġpromising":25383,"Ġqualify":25384,"Ġcave":25385,"Ġequip":25386,"=x":25387,"GT":25388,"(link":25389,".velocity":25390,".erase":25391,"oter":25392,"++++++++":25393,"profit":25394,"Ġzones":25395,"_uid":25396,"-ser":25397,"Ġobjectives":25398,"Ġmilf":25399,"webkit":25400,"(match":25401,"neh":25402,"ĠAssociated":25403,"ĠTodo":25404,"=d":25405,"Cam":25406,"Ġvocal":25407,"Ġsudo":25408,"(EX":25409,"Ġtrou":25410,"ABC":25411,".bean":25412,"ĠGround":25413,"ĠREST":25414,"weets":25415,"Ing":25416,"imon":25417,"_bus":25418,"ĠCOLOR":25419,"unto":25420,"Ġfoss":25421,"ĠLinks":25422,"äng":25423,"/forms":25424,"prises":25425,"Ġachievement":25426,"CALL":25427,"елÑĮ":25428,"ĠVerify":25429,"_SOURCE":25430,"aptcha":25431,"IDD":25432,"_reference":25433,"Gold":25434,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":25435,"Receiver":25436,"Ġaj":25437,"_direction":25438,"}]":25439,"ĠCompet":25440,"Ġbang":25441,"ĠCass":25442,"-url":25443,"techn":25444,"ĠJerusalem":25445,"longitude":25446,"');čĊčĊ":25447,"Ġwinners":25448,"Tasks":25449,"ĠDMA":25450,"Ġtooltip":25451,"İ·":25452,"ĠBra":25453,"_duration":25454,"cury":25455,"parents":25456,"---->(":25526,"ĠKir":25527,"Ġintros":25528,"Ġsketch":25529,"Ġskilled":25530,"Ġimmer":25531,"Ġadequate":25532,"_rep":25533,"(header":25534,"_like":25535,"Ġperceived":25536,"ssh":25537,"Ġassuming":25538,"Ġff":25539,"_uuid":25540,"ulas":25541,"Ġdemocratic":25542,".entities":25543,"Series":25544,"aphore":25545,"Ġnewer":25546,"}(":25547,"SEC":25548,"airo":25549,"Ġcommod":25550,"Ġprivilege":25551,"Ġdeux":25552,"ĠHop":25553,".'/":25554,"ctic":25555,".';Ċ":25556,"C":25630,"ĠWarren":25631,"Ġoptimizer":25632,"ĠSERVICES":25633,"_oper":25634,"getAttribute":25635,"ĠMcK":25636,"_self":25637,".rs":25638,"\")ĊĊĊ":25639,"GetComponent":25640,"erce":25641,"Ġtous":25642,"units":25643,"']);čĊ":25644,"Zoom":25645,"/E":25646,"Ġobsc":25647,"Ġfastest":25648,"online":25649,"Ġpeaceful":25650,"ffen":25651,"Ġcargo":25652,"ĉpr":25653,"Ġseeks":25654,"zu":25655,"Trim":25656,"Ġward":25657,"Ġverd":25658,"Ġblogs":25659,".exceptions":25660,"ĠPremium":25661,"ĠNetherlands":25662,"Safe":25663,"Finish":25664,"ĠAlbum":25665,"_ACC":25666,"=this":25667,"virtual":25668,"]>":25669,"_LABEL":25670,"ĠNich":25671,"_win":25672,"ĠAaron":25673,"WP":25674,";$":25675,"aims":25676,"ĠImageView":25677,"Ġendless":25678,"ERA":25679,"_DISABLE":25680,"Ġcancelled":25681,"-us":25682,"Ġinspection":25683,"emin":25684,"ĠGrey":25685,"-open":25686,"Ġiterations":25687,".owner":25688,"Ġkeras":25689,".Password":25690,"ĠRy":25691,"ĠINS":25692,"Air":25693,"ĠSeveral":25694,".TabStop":25695,"INGLE":25696,"ĠHair":25697,"ĠCanvas":25698,"AAAA":25699,"Ġflaw":25700,"cedes":25701,".Report":25702,"íĬ":25703,"ĠTips":25704,"criptors":25705,".transaction":25706,".Spring":25707,"Ġviewer":25708,"Ġinsights":25709,"è¾ĵ":25710,"ordion":25711,"UINT":25712,"seek":25713,"ĠAuf":25714,"ìŀIJ":25715,"Ġstrain":25716,"Tooltip":25717,"Ġdz":25718,"ignal":25719,"adt":25720,"Ġuc":25721,"finite":25722,"Ġnm":25723,".cmd":25724,"ĠMySql":25725,"[data":25726,".jackson":25727,".tree":25728,"RequestParam":25729,"_agent":25730,"\")]čĊ":25731,"Ġassass":25732,"(Constants":25733,":ss":25734,"ĠMAN":25735,"+-+-":25736,"ĠBottom":25737,"prints":25738,"ĠSame":25739,"@Autowired":25740,"swap":25741,"ición":25742,"Ġprotesters":25743,"Ġhoney":25744,"ĠVeter":25745,"(Calendar":25746,"-ad":25747,"ĠBrooklyn":25748,"Life":25749,"_VAR":25750,"zech":25751,"ĠCALL":25752,"_CAST":25753,"ĠElection":25754,"Ġthickness":25755,"Very":25756,"_INTEGER":25757,"-dev":25758,"))))":25759,"apat":25760,"oooo":25761,"demo":25762,"ĠparseFloat":25763,"ĠRather":25764,"STIT":25765,"maker":25766,"[current":25767,"chrono":25768,"Ġchrist":25769,"ãģª":25770,"ĠDetail":25771,"Æ°á»":25772,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":25773,"Ġsul":25774,"idency":25775,"Que":25776,"Ġelegant":25777,"apons":25778,"Ġdishes":25779,"Ġintegers":25780,"(read":25781,"findViewById":25782,"ĠAmount":25783,"ĠSkip":25784,"Ġhabits":25785,"*)(":25786,"Ġmonsters":25787,"MAC":25788,":end":25789,"Ġfrank":25790,"Assembly":25791,"Ġdfs":25792,"Ġneut":25793,"_TYPES":25794,"equal":25795,"loyd":25796,"(uri":25797,"Ġchi":25798,"Ġdefendant":25799,"Ġconflicts":25800,"Ġvil":25801,"-js":25802,"ĠPeace":25803,"Ġmutable":25804,")sender":25805,"ĠFocus":25806,"建":25807,"Ġappreciated":25808,"sleep":25809,"ĠRED":25810,"Culture":25811,"Ġdesigners":25812,"_generator":25813,"codes":25814,"/ex":25815,".GetValue":25816,"umbled":25817,".scalajs":25818,"peror":25819,"Ġveterans":25820,"Ġ})čĊ":25821,"Ġunfortunately":25822,"_CREATE":25823,"Mass":25824,"ĠCLAIM":25825,"ĠMeet":25826,"_support":25827,"Bank":25828,"().Ċ":25829,"Dark":25830,"_LOW":25831,"ĠMining":25832,"ĠOwner":25833,"iera":25834,"Cliente":25835,"Ġencouraging":25836,">S":25837,"Ġboyfriend":25838,"ĠHalf":25839,"ĠACC":25840,"Aff":25841,"_ar":25842,"-life":25843,"cx":25844,".JButton":25845,"izado":25846,".zero":25847,".openqa":25848,"oton":25849,".textContent":25850,"Ġtoll":25851,"atie":25852,"Ġballot":25853,"-number":25854,".Exception":25855,"ĉparams":25856,"circle":25857,"-map":25858,"Ġnap":25859,"ĠRobot":25860,"ĠIch":25861,"registration":25862,"Amazon":25863,"rollment":25864,"(exp":25865,"Ġtanks":25866,"ĠGordon":25867,"Ġmachinery":25868,"Ġbaseline":25869,"æĭ":25870,"Ø©":25871,"ĠConvention":25872,"ĉconfig":25873,"ookies":25874,"mult":25875,"Records":25876,"ĠEST":25877,"Ġgarbage":25878,"Ġconform":25879,"idal":25880,"Ġbarg":25881,"Ġsurvived":25882,"Ġinvestigations":25883,".containsKey":25884,"--------------------------------------------------------------------------Ċ":25885,"ortion":25886,"Ġhorr":25887,"_http":25888,"Ġmant":25889,"];čĊčĊ":25890,"binary":25891,"empl":25892,"Ġinquiry":25893,"ĠMeanwhile":25894,"Ġcollecting":25895,".EntityFramework":25896,"\",ĊĊ":25897,"ĠPic":25898,"@Inject":25899,"ickness":25900,"ĠBinding":25901,"Ġcontrolling":25902,"reverse":25903,"Ġchairs":25904,"sembled":25905,"(add":25906,"Disabled":25907,"anas":25908,".translate":25909,"-----------Ċ":25910,"Ġreflected":25911,"\"]ĊĊ":25912,"External":25913,"Arrow":25914,"Singleton":25915,"%x":25916,"ĠÅ":25917,"Ġancest":25918,"ĠOrleans":25919,"ĉcmd":25920,"Ġprohibited":25921,"ithmetic":25922,"(channel":25923,"_css":25924,"Forward":25925,".socket":25926,"Ġluc":25927,"âĨ":25928,"ĠFirefox":25929,"ĠMovies":25930,")_":25931,".ends":25932,"(shape":25933,"Ġdealt":25934,"Ġsaves":25935,"Ġglory":25936,"Ġmejor":25937,"Ġbreathing":25938,"Ġeller":25939,"getData":25940,"Ġangles":25941,"Ġtoolbar":25942,"Ġspacing":25943,"IPS":25944,"Ġfloors":25945,"_ACTIVE":25946,"Ġshuffle":25947,"/shared":25948,"ĠEle":25949,"edish":25950,"Ġwebcam":25951,".expect":25952,"iloc":25953,"ĠIncludes":25954,"Ġtweeted":25955,"Ġ:)":25956,"ĠEssay":25957,"Fix":25958,"-between":25959,"_web":25960,".conv":25961,"Ġracism":25962,"Ġreflects":25963,"umm":25964,"иÑĤе":25965,"_footer":25966,"/docs":25967,"ĠPour":25968,"NgModule":25969,".initialize":25970,"patterns":25971,"_In":25972,"ĠAbb":25973,"*čĊ":25974,"Ġsentiment":25975,"buff":25976,"_counts":25977,"Ġreuse":25978,"chunk":25979,"Ġimposed":25980,"PrimaryKey":25981,"Foreground":25982,"Ġconsumed":25983,"?!":25984,"Ġdick":25985,"Ġchron":25986,"ĠFern":25987,"Ġresponsive":25988,"Ġinsect":25989,"iculty":25990,"Ġrw":25991,"Ġalike":25992,"Ġsubset":25993,"ĠCookies":25994,"ĠPair":25995,"Ġtier":25996,"IFO":25997,"avour":25998,"ĠQU":25999,",sizeof":26000,"Ġmerged":26001,"mv":26002,"itol":26003,"ylon":26004,"Ġjumped":26005,".role":26006,"ensaje":26007,"Rules":26008,"Ġbrowse":26009,"Animator":26010,"Ġyoga":26011,"Ġvariants":26012,"Ġcourtesy":26013,"uran":26014,"pbs":26015,"elseif":26016,"Alt":26017,"ĠLane":26018,"CLK":26019,"IMARY":26020,"_PROPERTY":26021,"ï¼IJ":26022,"Ġchan":26023,"Ġgradually":26024,"Ġshake":26025,"Ġblonde":26026,"...\");Ċ":26027,"-sex":26028,"Ġgameplay":26029,"acies":26030,".refresh":26031,"USB":26032,"ĠPlot":26033,"Was":26034,"issippi":26035,"ĠTensor":26036,"Ġcryptocurrency":26037,"Ġdifficulties":26038,"Deleted":26039,"Without":26040,"_append":26041,"_ver":26042,"\"))čĊ":26043,"Ġhonestly":26044,"Ġpivot":26045,"Ġtemps":26046,"_ps":26047,"ĠUnlike":26048,"[:-":26049,"VS":26050,"_inf":26051,"Ġjunior":26052,"Ġanimations":26053,"Ġfilepath":26054,"?{{$":26076,"Ġunicode":26077,"places":26078,"ĠCoffee":26079,".SE":26080,"ĠPAR":26081,"(txt":26082,"gebra":26083,"Ġfires":26084,"MainWindow":26085,"medium":26086,"Ġ(âĢľ":26087,"Ġlg":26088,"Ġcmp":26089,"/base":26090,"_layers":26091,"_entries":26092,"Ġadminister":26093,"ĠSUCH":26094,"BP":26095,"ĠScottish":26096,"ĉčĊĉčĊ":26097,"guard":26098,"ĠStrong":26099,"Insn":26100,"ĠCAP":26101,"asury":26102,"ĠSEE":26103,"Clock":26104,"erie":26105,"\\models":26106,"Ġ$$":26107,"ĠCab":26108,"Ġwurde":26109,"Ġsoldier":26110,"Ġclips":26111,"Ġarrangement":26112,"ĠWonder":26113,"ĠHorn":26114,"Ġscared":26115,"Ġcure":26116,"mkdir":26117,"Ġaligned":26118,"ĠPink":26119,"Ġlanded":26120,"Dimension":26121,"ScrollPane":26122,".chat":26123,".With":26124,"ĠTrain":26125,"].Ċ":26126,"Ġthirty":26127,"Ġdurable":26128,"Ġld":26129,"Ġlateinit":26130,"Ġcharts":26131,"Ġinsult":26132,".Fatal":26133,"_ct":26134,"Ġmasks":26135,"CLUDED":26136,"President":26137,"Ġcolours":26138,"gments":26139,".attributes":26140,"ĠFlex":26141,"ĠClock":26142,"ÃŃcul":26143,"imen":26144,"JO":26145,"ĠRegex":26146,"_LINK":26147,"Ġcouch":26148,"ĠINPUT":26149,"Ġbeating":26150,"business":26151,"preced":26152,".unit":26153,"ĠFel":26154,"Never":26155,"ospel":26156,".startswith":26157,"ĠEPA":26158,".only":26159,"Ġpreventing":26160,"yer":26161,"ColumnName":26162,"Ġelevation":26163,"flu":26164,"icycle":26165,"Ġoffline":26166,"Toolbar":26167,"Ġcompeting":26168,")].":26169,"Ġmog":26170,"ĠisValid":26171,"Ask":26172,"_av":26173,"_lat":26174,"ANC":26175,"ĠJoh":26176,"kers":26177,"Ġguards":26178,"Ġchains":26179,"ĠSimpleDateFormat":26180,".static":26181,"Ġvessel":26182,"Ġmud":26183,"Ġstabil":26184,"Ġstret":26185,"gm":26186,"amation":26187,"çľ":26188,"-with":26189,"Ġros":26190,"_PA":26191,"Ġresultado":26192,"Ġconfidential":26193,"ĠTokyo":26194,"ĉusing":26195,"ĠMathf":26196,"ombine":26197,"ĠESPN":26198,"Ġdealers":26199,"Ġdismissed":26200,"TRY":26201,"Ġteens":26202,"records":26203,"Ġwings":26204,"gallery":26205,"accounts":26206,"_LIB":26207,"Ġjacket":26208,"ĠNSObject":26209,"Ġstones":26210,"ĠDelivery":26211,"ĠDiet":26212,"/watch":26213,"Ġtoilet":26214,"ĠGuest":26215,".day":26216,"Ġintval":26217,"Visit":26218,"Ġinvestigated":26219,"Ġpentru":26220,"ĠTheatre":26221,"andidates":26222,"Lang":26223,"ĠServ":26224,"Ġcontrollers":26225,"ĠsetTitle":26226,"NP":26227,"amy":26228,"flat":26229,"(ui":26230,"_document":26231,"èĥ½":26232,"ĠCoin":26233,"ĠAdams":26234,"ptic":26235,"Ġproductive":26236,"Ġaccomplished":26237,"čĊčĊčĊčĊ":26238,"Ġdeferred":26239,"ientes":26240,"Ġsinc":26241,"olars":26242,"Rightarrow":26243,"Ġvariations":26244,"(offset":26245,".LayoutInflater":26246,"Ġsuspend":26247,"Ġprevention":26248,"_private":26249,"_js":26250,"âĺħ":26251,"Ġwieder":26252,"atum":26253,"ĴĮ":26254,"Ġappearances":26255,".Document":26256,"Ġvalidates":26257,"calendar":26258,"}\";Ċ":26259,".demo":26260,"conut":26261,"Ġcorrection":26262,"ĠDeal":26263,"Ġbatteries":26264,".duration":26265,",\\":26266,"_marker":26267,"multi":26268,"Ġhalt":26269,"Ġcms":26270,"Ġshaped":26271,"Bro":26272,"reduce":26273,"Ġ####":26274,"CTOR":26275,"ĠBenef":26276,"Ġiconic":26277,"Ġpiano":26278,"Ġeffectiveness":26279,"|.Ċ":26280,"Ġajax":26281,"Ġvolumes":26282,"ม":26283,"Ġcljs":26284,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":26285,"aths":26286,"raits":26287,"大":26288,"Ñĸ":26289,"_mult":26290,"Ġfascinating":26291,"Average":26292,"Ġpré":26293,"ĠChairman":26294,".findElement":26295,"_pin":26296,"Ġcomparing":26297,"Ġdarkness":26298,"-Fi":26299,"-server":26300,"Ġselecting":26301,"sterdam":26302,"ĠParts":26303,"FORMATION":26304,"Ġnoting":26305,"Ġpile":26306,"ogs":26307,"Ġpalette":26308,"_do":26309,"itize":26310,"()(":26311,"Ġdefining":26312,"Ġremainder":26313,"Units":26314,"_TASK":26315,"HttpClient":26316,"Social":26317,"Ġfundra":26318,"NR":26319,"chest":26320,"Currency":26321,".adapter":26322,"Ġdop":26323,"unting":26324,"ANGUAGE":26325,"\"He":26326,"ĉindex":26327,"_package":26328,".Icon":26329,"Ġrepet":26330,"mass":26331,"=\".$":26332,"ĠSud":26333,"Ġlid":26334,"province":26335,"ìľ":26336,"GPIO":26337,"Ðļ":26338,"ĠMySQL":26339,"Ġdocs":26340,"ĠGA":26341,"Ġipsum":26342,"Kernel":26343,"Ġaccepts":26344,"Ġfitting":26345,"Ġcuando":26346,"Ġduplic":26347,"ĠBrother":26348,"ĠKle":26349,"nums":26350,"Ġmorph":26351,"Ġ########":26352,"ĠCGPoint":26353,"manual":26667,"ĠTechnical":26668,"Ġcorporation":26669,"ĠHW":26670,"anka":26671,"TAIL":26672,"istas":26673,"Ġperforms":26674,"ĠBehavior":26675,".For":26676,"_ORDER":26677,"ĠKick":26678,"Ġcallbacks":26679,"_dr":26680,"uego":26681,"hub":26682,"ufficient":26683,"sky":26684,"Ġbp":26685,"htable":26686,"ĠONLY":26687,"ĠAUTHORS":26688,".Argument":26689,"\"};Ċ":26690,"ĠThunder":26691,"ĠKom":26692,".Should":26693,"AUTH":26694,"ahu":26695,"_payment":26696,"Ġstarter":26697,"ìĦľ":26698,"ìļ©":26699,"Blog":26700,".patch":26701,"Ġgoverned":26702,"assy":26703,"-found":26704,"Ġtheater":26705,"ĠFontWeight":26706,"ĠBatman":26707,"\"If":26708,".Random":26709,"_delta":26710,"ĠCE":26711,"Authenticated":26712,"Ġdrone":26713,"Ġcous":26714,"radius":26715,"Mer":26716,"(None":26717,"ĠNJ":26718,"_headers":26719,"Ġamer":26720,"pytest":26721,"ĠActions":26722,"ĉĉĉĠĠĠĠ":26723,"Ġett":26724,"Ġholy":26725,"Ġuncomfort":26726,"ĠNin":26727,"ĠDecimal":26728,"ĠMessages":26729,".sender":26730,"]])Ċ":26731,"Ġembrace":26732,"Though":26733,"/sp":26734,"Ġcultures":26735,"Ġhighway":26736,"tar":26737,".fail":26738,"_hidden":26739,"ĠcomponentDidMount":26740,"ĠWright":26741,"Ġjag":26742,"_il":26743,"../../../":26744,"igu":26745,"Food":26746,"Ġace":26747,"Ġaños":26748,"USD":26749,"Ġmutual":26750,"Logic":26751,"Ġtemple":26752,"Ġbriefly":26753,"ĠTrip":26754,"classmethod":26755,"defaults":26756,"Ġchunks":26757,",,,,":26758,"ĠReason":26759,"$id":26760,"-ups":26761,"Ġdamn":26762,"Ġtrucks":26763,"Ġunlimited":26764,"Ġsculpt":26765,"ĠCards":26766,"Ġautor":26767,"ĠTesting":26768,"Ġdiese":26769,"shops":26770,"ç´":26771,"(payload":26772,"ĠPATH":26773,"ĠMemorial":26774,"Ġridiculous":26775,"egree":26776,"-winning":26777,"Ġrehab":26778,"Ġsophisticated":26779,"wpdb":26780,"ĉpath":26781,"!\";Ċ":26782,"_SYS":26783,".speed":26784,"Ġsoap":26785,"suffix":26786,"Wrap":26787,"Ġenhancement":26788,"Ãī":26789,"úb":26790,"Ġplaylist":26791,"Ġmixing":26792,"antidad":26793,"=\"\";Ċ":26794,"ĠRevision":26795,"ĠBeat":26796,".inc":26797,"-way":26798,"encias":26799,"ulers":26800,"Cat":26801,"idel":26802,"ĠShip":26803,".setColor":26804,"Ġthreatening":26805,".modules":26806,"Ġafterwards":26807,"ĠDashboard":26808,"ĊĠĊ":26809,"Signal":26810,"Ġprimer":26811,"orneys":26812,"iciary":26813,"Ġligne":26814,"_predict":26815,"Ġaest":26816,"_https":26817,">:":26818,"ĠLex":26819,"Ġrencontres":26820,"egral":26821,"scala":26822,"_family":26823,"ÃŁen":26824,"_sym":26825,"Ġuncertainty":26826,"ĠVALUE":26827,"Ġ};čĊčĊ":26828,"Ġbroader":26829,"Ġhorses":26830,"ãģĿ":26831,"ĠKal":26832,"oba":26833,"_INET":26834,"ĠKill":26835,"jquery":26836,"amination":26837,"[@\"":26838,"Ġmuj":26839,"###Ċ":26840,"FirstOrDefault":26841,"thenReturn":26842,"Che":26843,"/footer":26844,"Ġparks":26845,"asje":26846,"ĠGulf":26847,"Ġmodest":26848,".Init":26849,"ï¼ŁĊĊ":26850,"Ġprospects":26851,"Ġsvg":26852,"Ġåı":26853,".Dialog":26854,"_NET":26855,"Ġ(($":26856,"Ġek":26857,"ĠWarning":26858,"ĠMK":26859,"":27166,"ĠRepair":27167,"_BE":27168,"Brand":27169,"uart":27170,"preview":27171,"Ġinitiatives":27172,"running":27173,"bang":27174,"ĉupdate":27175,"ĠCoach":27176,"Rich":27177,"Ġyoutube":27178,"Ġritual":27179,"appa":27180,"ĠRobinson":27181,"precision":27182,"////////////////////////////////////////////////////////////////////////////":27183,"=[]Ċ":27184,"Ġcelebrated":27185,"OTO":27186,"Ġinclusion":27187,"JP":27188,"';čĊčĊ":27189,"Ġnotable":27190,"(_.":27191,"Managed":27192,"Ġguides":27193," ":27194,"atedRoute":27195,"ĠAdjust":27196,"Ġcolored":27197,"_scores":27198,"ĠTesla":27199,"_progress":27200,".inst":27201,"['_":27202,".flags":27203,"Ġfclose":27204,"_OPER":27205,"ży":27206,"_note":27207,"Ġtransgender":27208,"åķ":27209,"RIPT":27210,"Ġabsent":27211,"Ġamet":27212,"Ġoperand":27213,"ë©":27214,"Ġhood":27215,"toLowerCase":27216,"avo":27217,"ĠCircuit":27218,"ĠLind":27219,"--}}Ċ":27220,"=m":27221,"Ġsuppress":27222,"ĠMAP":27223,"iang":27224,"-admin":27225,"Ġsidebar":27226,"ĠBu":27227,"ĠHex":27228,",F":27229,"ĠSignal":27230,"Ġtransparency":27231,"ĠFederation":27232,"/V":27233,"Req":27234,"Ġpulse":27235,"Ġtends":27236,"Numbers":27237,"%'":27238,"Ġdeport":27239,"datas":27240,"_UINT":27241,"_tra":27242,"oko":27243,"Ġ\"?":27244,"compet":27245,"solete":27246,"undry":27247,"Ġoverlap":27248,"}`,Ċ":27249,".ly":27250,"_summary":27251,"ĠLost":27252,".Center":27253,"Ġdisability":27254,".Serialization":27255,"Ġgeom":27256,"Ġ?:":27257,"ĠWo":27258,"Ġshipped":27259,"Ĥæķ°":27260,"Ġugly":27261,"Ġexcitement":27262,"Ġexterior":27263,"Ġcheckout":27264,"Ġkur":27265,",D":27266,"ĠAlaska":27267,"Ġsynthetic":27268,"ĠBudget":27269,"ĠSubscribe":27270,"Ġ&Ċ":27271,"ÈĻi":27272,"ĠYu":27273,"ĉquery":27274,"}.Ċ":27275,"Ġtraged":27276,"assen":27277,"Ġaccommodation":27278,"Ġphysician":27279,"Ġrenamed":27280,"Ġtidak":27281,"zÄħ":27282,"Ġminus":27283,"nych":27284,"_EXCEPTION":27285,"threads":27286,"Ġtire":27287,"_created":27288,"ensure":27289,"Ġworthy":27290,"Ġexcuse":27291,"Ġcloth":27292,".parentNode":27293,"/platform":27294,"ĠUFC":27295,"ĠGtk":27296,"unny":27297,"Ġgibt":27298,"keley":27299,"hum":27300,"(tx":27301,"ĉdev":27302,"Ġoutfit":27303,"doors":27304,"Ġfon":27305,"icut":27306,"volatile":27307,"Ġhomosex":27308,"Maximum":27309,"Ġexpend":27310,"Ġ});ĊĊĊ":27311,"Eq":27312,"onders":27313,"department":27314,"ĠPhysics":27315,"\"});Ċ":27316,"Ġparad":27317,".Str":27318,"Ġsele":27319,"IFIED":27320,"Ġdelivers":27321,"ivan":27322,"Ġresponsibilities":27323,"Ġadvocates":27324,"èµ":27325,"ĠRID":27326,".parameters":27327,"Metrics":27328,"ronics":27329,"ĠUITableViewCell":27330,"Absolute":27331,"ipse":27332,"ylum":27333,"MLElement":27334,"_VALID":27335,"\\<^":27530,"Ġios":27531,"sound":27532,"\"];":27533,"Ġfreed":27534,"rottle":27535,"ĠLower":27536,"[count":27537,"åĿ":27538,"Ġpale":27539,"ĠWayne":27540,"earth":27541,"_categories":27542,"UCK":27543,".metadata":27544,"Ġsummon":27545,"HOME":27546,"олÑĮз":27547,"Ġmanufactured":27548,"Ġdock":27549,"Ġcompetitors":27550,"_MODEL":27551,"okia":27552,"ĠHey":27553,"ο":27554,"Ġbackward":27555,"ĠPOSS":27556,"ropa":27557,"Ġcri":27558,"_OBJ":27559,"Transport":27560,"-high":27561,"Ġerotik":27562,"_slot":27563,"Ġartic":27564,"_framework":27565,"-serif":27566,"ĠSqlDbType":27567,"')(":27568,"+\"/":27569,"Ġwore":27570,"Sil":27571,"Ġstoring":27572,"ĠPhase":27573,"uant":27574,"Ġbump":27575,"inho":27576,"Ġdign":27577,"Ġbacks":27578,"qq":27579,"(hash":27580,"Ġgeo":27581,"Ġtender":27582,"Logo":27583,"!)Ċ":27584,"ĠMX":27585,"ĠArthur":27586,"essoa":27587,"_Ch":27588,"Ġbedrooms":27589,"=\"#\"><":27590,"Ġthroat":27591,"insic":27592,".integer":27593,"Ġprimitive":27594,"Truthy":27595,"Ġfacilitate":27596,"Ġcreativity":27597,"ĠDNS":27598,"Ġgra":27599,"uez":27600,"Ġcountless":27601,"ĠPoland":27602,"'M":27603,"ĠDist":27604,"Ġvest":27605,"Ġcertification":27606,"á»ij":27607,"held":27608,"extensions":27609,"(static":27610,"Ġgrades":27611,"ĠUber":27612,"ãģŁ":27613,"Ġ[])Ċ":27614,"datos":27615,"ĠgetData":27616,"ĠCharg":27617,"ĠBS":27618,".microsoft":27619,".video":27620,".direction":27621,"->{'":27622,"lua":27623,"apest":27624,"Ġboiler":27625,"erek":27626,"Ġdecides":27627,".jar":27628,"ISC":27629,"ĠWords":27630,"(CON":27631,"EMPLATE":27632,"reeze":27633,"shots":27634,"apps":27635,"unted":27636,".setName":27637,"::<":27638,"-bold":27639,"ê²":27640,"å¯Ĩ":27641,"Longrightarrow":27642,"Ġunfair":27643,"Ġearning":27644,"Ġshelf":27645,"UREMENT":27646,"Ġidle":27647,"_MENU":27648,".Custom":27649,"AGER":27650,"-\"":27651,"_switch":27652,"because":27653,")view":27654,"mare":27655,"_condition":27656,"ĠStarting":27657,"Mvc":27658,"(pre":27659,"dump":27660,"_LOCK":27661,"atetime":27662,".callback":27663,"ĠCer":27664,"opol":27665,"ibrary":27666,"Ġreservation":27667,"ĉĉĉĉĉĉĉĊ":27668,"lector":27669,"graduate":27670,"Ġgenerous":27671,"Ġion":27672,"ricao":27673,"mq":27674,"_complete":27675,"(cursor":27676,"ĠFormControl":27677,":center":27678,"Ġsubstitute":27679,"ĠPlanning":27680,"Ġpension":27681,"Ġrecommendation":27682,"ĠTags":27683,"Ġgef":27684,"Ġalbums":27685,"Ġwashing":27686,"roc":27687,"Ġtrains":27688,"atings":27689,"Ġexponent":27690,"ackbar":27691,"-ln":27692,"ág":27693,".DataAnnotations":27694,"ĠEIF":27695,"ĠMalaysia":27696,"ĉPORT":27697,"onus":27698,"Ġclever":27699,"Ġpeu":27700,">ĊĊĊĊ":27701,"ĠArguments":27702,"Ġdebugging":27703,"(right":27704,"'D":27705,"compute":27706,"Ġfinest":27707,"ORAGE":27708,"Ġspectacular":27709,"phrase":27710,"Ġindia":27711,"Ġlegendary":27712,"birth":27713,"Ġcomposite":27714,"Ġgrows":27715,"ĠTD":27716,"Ġepid":27717,"Ġlaunching":27718,"]][":27719,"Minutes":27720,"ĠCha":27721,"Ġcleaned":27722,"Ġwitnesses":27723,"ukan":27724,"ĉType":27725,"Ġhabe":27726,"paragraph":27727,"ĠJPanel":27728,"ĠHann":27729,"Ġvaried":27730,"ĠPokemon":27731,"ĠMUST":27732,"åĬ¨":27733,".visibility":27734,"opup":27735,"^[":27736,".expand":27737,"Ġ\"',":27738,".fasterxml":27739,"_auto":27740,"ĠSheet":27741,"marker":27742,"Parcel":27743,"ews":27744,"ĠStrategy":27745,"-making":27746,"Ġunve":27747,"Ġtrailing":27748,"Ġclicks":27749,"ĠGetComponent":27750,"ĉcontent":27751,"IGENCE":27752,"ERNEL":27753,"NSMutableArray":27754,"Ġbreat":27755,"Ġharmful":27756,"¶Ī":27757,"Ġbesides":27758,"Ġboring":27759,"Ġbrutal":27760,"vang":27761,"(parse":27762,"quick":27763,"Ġpytest":27764,"Ġswitching":27765,"()]Ċ":27766,"ĠìĦ":27767,"LER":27768,"ĉfont":27769,"Ġnett":27770,")]ĊĊ":27771,"(/\\":27772,"æŀľ":27773,"toArray":27774,"Ġbreed":27775,"ĠCAR":27776,"ĠWeapon":27777,"Abs":27778,"tot":27779,"ĠsetName":27780,"aptive":27781,"Ġ:,":27782,"Ġescaped":27783,"orden":27784,"ĠPri":27785,"thumbnail":27786,"Ġdescriptions":27787,"/styles":27788,"ĠPCI":27789,"Ġalphabet":27790,"asticsearch":27791,"NOTE":27792,"Ġcialis":27793,"ĠGriff":27794,"Ġporque":27795,"Ġproteins":27796,"plays":27797,"Ġstating":27798,"Ġimagination":27799,"Ġfacial":27800,"ĠMechan":27801,"Ġarranged":27802,"_used":27803,"Ġarrangements":27804,"ĠPipe":27805,"hostname":27806,"Ġprovinc":27807,"Tit":27808,".FlatStyle":27809,"ĠSplit":27810,"ĠLoader":27811,".cc":27812,"Ġclinic":27813,"----------------------------":27814,"Ġbaking":27815,"ĠENT":27816,"neath":27817,"ãĢģĊĊ":27818,"ANE":27819,".EntityFrameworkCore":27820,"appers":27821,".ic":27822,"ĠNgModule":27823,"ĠFORM":27824,"Ġ';":27825,"-profit":27826,"hw":27827,"enemy":27828,"ĠEye":27829,"Ġcaution":27830,"town":27831,"Ġurged":27832,"ĠJimmy":27833,"ynchronous":27834,"-sized":27835,"making":27836,",{":27837,"]',":27838,"_Object":27839,"ahoma":27840,"Ġactivist":27841,"INVAL":27842,"ĠCommercial":27843,"ĠOrlando":27844,"(tab":27845,"Ġب":27846,"Algorithm":27847,"Ġheritage":27848,"GetMapping":27849,"Ġfailures":27850,"rios":27851,"ativa":27852,"Ġtet":27853,"Ġcarpet":27854,"(Z":27855,"three":27856,"Ġdisclosure":27857,".ERROR":27858,"_called":27859,"Ġdial":27860,"Ġoccasional":27861,".Err":27862,"Ġfuncion":27863,"caffold":27864,"Ġreleasing":27865,"ï¼īĊĊ":27866,"_Value":27867,"ĠVari":27868,"yellow":27869,"Ġstruggles":27870,".cal":27871,"ĠDakota":27872,"ĉclose":27873,"Ġsandwich":27874,"Ġanalytics":27875,"Ġ**)":27876,"&#":27877,"ĠJos":27878,"Ġpassive":27879,"ATTR":27880,"Throwable":27881,"ĠMun":27882,"ĠUint":27883,"(disposing":27884,"arak":27885,"ĠLeaders":27886,"Ġaffecting":27887,"ĠitemView":27888,"Ġeconomics":27889,"fv":27890,"à¹Ģ":27891,".rb":27892,"ĠOverall":27893,"Ġwealthy":27894,"Ġevolved":27895,"nda":27896,"ĠHus":27897,"restrict":27898,"umen":27899,"ĠAgricult":27900,"!ĊĊĊ":27901,"Ġexpires":27902,"Ġspokesperson":27903,"interval":27904,"Ġâ":27905,"Ġqueen":27906,"(nil":27907,"ingo":27908,"Heap":27909,"Ùİ":27910,"Ġcomplain":27911,"Sym":27912,"ĠClone":27913,"ĠRu":27914,"ĠWILL":27915,"ĠCrystal":27916,"/content":27917,"ingen":27918,"ointment":27919,"LastName":27920,"avicon":27921,"ĠIBM":27922,"ĠDimension":27923,"anh":27924,"icipants":27925,"ĠAnne":27926,".progress":27927,"Ġalgo":27928,"obil":27929,"ĠVoice":27930,"ĠFE":27931,"Ġgli":27932,"Ġved":27933,"Ġprevents":27934,"\\Column":27935,"Ġfolk":27936,"etti":27937,"Ġmn":27938,"ĠCLASS":27939,"Ġdisplaying":27940,"ĠKl":27941,"ĠFerr":27942,"duto":27943,".ib":27944,"Ġdados":27945,"'name":27946,"-space":27947,"Ġitalian":27948,"Ġinverse":27949,"Ġdense":27950,"uter":27951,"ĠIEnumerator":27952,"-sign":27953,"Ġnationwide":27954,"Ġpersona":27955,"Ġsolved":27956,"Ġdramatically":27957,"Logout":27958,"Ġgrav":27959,"Ġanalyses":27960,"ollo":27961,"Ġlamp":27962,".team":27963,"ĠErot":27964,"=[\"":27965,"Ġdancing":27966,"Ġ?>/":27967,"Ġcater":27968,"ffe":27969,"ĠSha":27970,"ĠBos":27971,"ĠREQUIRE":27972,"ĠMonster":27973,"ĠRB":27974,"ĠIDE":27975,"Ġsuits":27976,"ĠformData":27977,"(theta":27978,"Ġspatial":27979,"=NULL":27980,"ĠSqlConnection":27981,"Ġà":27982,"ĠVenez":27983,"ĠMorning":27984,"Ġpublications":27985,"ĠNONINFRINGEMENT":27986,"firstName":27987,"uds":27988,"Would":27989,"_HEAD":27990,"Ġinvested":27991,"stable":27992,"fred":27993,"Ġcommander":27994,"SES":27995,"âĢĶa":27996,"anche":27997,"ĠMovement":27998,"ë³":27999,"Suite":28000,"Ġjurisdiction":28001,"리":28002,"ĠBeth":28003,"jQuery":28004,"ĠIsa":28005,"Ġdental":28006,",*":28007,"ĠLimit":28008,"iliation":28009,"=\"{":28010,"bast":28011,"Ġturb":28012,"isy":28013,"OOK":28014,"Ġadvocate":28015,"imag":28016,"LECTION":28017,"лÑĮ":28018,"(category":28019,".dec":28020,"Ġuniqu":28021,"_sn":28022,"Ġattracted":28023,"ĠÃī":28024,"ĠRunning":28025,"_edges":28026,"ĠDisable":28027,"_AS":28028,"åĽ¾":28029,"Ġnetworking":28030,"_branch":28031,"Having":28032,"toBeTruthy":28033,"GI":28034,"Ġcamps":28035,"sep":28036,"-part":28037,"Ġ)ĊĊĊĊĊĊĊĊ":28038,"ustralia":28039,"ĠReports":28040,"rito":28041,"Ġwaist":28042,"_plus":28043,"ĠWW":28044,"-person":28045,"April":28046,"Ġsar":28047,".tar":28048,"Ġagricultural":28049,"tic":28050,"Ġtcp":28051,"ĠsetValue":28052,"agento":28053,"ĠAppe":28054,"piler":28055,"CADE":28056,"Ġanche":28057,"atcher":28058,"Ġcomics":28059,"Ġlbs":28060,"_segment":28061,"']=$":28062,"itters":28063,"icher":28064,"GINE":28065,"Ġutilize":28066,"ĠCursor":28067,"_expression":28068,"Ġdag":28069,"x":28257,".Task":28258,"money":28259,"ibaba":28260,"'});Ċ":28261,"ĠSpecific":28262,"ĠLinear":28263,"_OPT":28264,"HashCode":28265,"(Player":28266,".ContainsKey":28267,"Ġcollapsed":28268,"transparent":28269,"_RANGE":28270,"Viewer":28271,"(cfg":28272,"Ġsorting":28273,"Ġinfected":28274,"ĠNach":28275,"Ġaccommodate":28276,".elements":28277,"_PART":28278,"ĠSexy":28279,"=get":28280,"(year":28281,"Ġxhr":28282,":]":28283,"owski":28284,"Ġsummar":28285,"Ġ¿":28286,"Ġinte":28287,"Ġworkflow":28288,"ĠTaiwan":28289,"versions":28290,"åıij":28291,"Ġsurprisingly":28292,"Ġoptical":28293,"Ġproces":28294,"Ġdisagree":28295,"Ġnuevo":28296,"ĠCAM":28297,"sorted":28298,"leases":28299,"istle":28300,"Ident":28301,"ĉevent":28302,"jected":28303,"Chunk":28304,"Vars":28305,".provider":28306,"Ġproceedings":28307,"Ġinclusive":28308,"Ġartwork":28309,"endants":28310,"ï¼ļĊ":28311,"seen":28312,"Ġlig":28313,"Ġmakers":28314,"_fun":28315,"Ġlengths":28316,"PathVariable":28317,"[item":28318,"ี":28319,"Dead":28320,"FFFFFF":28321,"ĠUrban":28322,"uples":28323,"ichen":28324,"(nullptr":28325,".spec":28326,",System":28327,"URATION":28328,"(job":28329,"å¼ı":28330,"Ġtracker":28331,"ÅĻ":28332,"ĠMR":28333,"ĠSQLite":28334,"Ġdto":28335,"Ġ;;Ċ":28336,"Ġmint":28337,"ĠIntroduction":28338,"cao":28339,"Ġquestioned":28340,"Ġfitted":28341,"revision":28342,"sq":28343,"Ġmig":28344,"_units":28345,"_async":28346,"Ġflick":28347,"});ĊĊĊ":28348,"Ġnotre":28349,"}`,":28350,"Filters":28351,"Ġmundo":28352,"_days":28353,"Ġfrm":28354,"utc":28355,"Ġvals":28356,"ewidth":28357,"ĠGenerator":28358,"ĠArtist":28359,"ĠIDs":28360,"ĠArticles":28361,"reater":28362,"ĠComponentFixture":28363,".=":28364,"Ġrou":28365,"-no":28366,".bukkit":28367,"egg":28368,"ĠDiff":28369,"atics":28370,"ÑĥÑĩ":28371,"âĢĶĊĊ":28372,"ĠCharlotte":28373,"bye":28374,"Ġ});čĊčĊ":28375,"ĠVik":28376,"ĠBrow":28377,"Ġlv":28378,"ĠGib":28379,"-wing":28380,"GLIGENCE":28381,"(Il":28382,"ĠEngineer":28383,".Wait":28384,"ĠPictures":28385,"Ġrhet":28386,"Ġthermal":28387,"Ġpraise":28388,"<>();ĊĊ":28389,"ĠSpider":28390,"Pause":28391,"ĠBaker":28392,"Ġslower":28393,"Ġ}]Ċ":28394,"_enqueue":28395,"Ġdisappeared":28396,"ĠTicket":28397,"INUX":28398,"_LOCAL":28399,"аÑģÑģ":28400,"@Injectable":28401,"community":28402,"GestureRecognizer":28403,"åĽ½":28404,"Ġscales":28405,"Ġ-(":28406,"/'+":28407,"ĠSit":28408,"Ġexecutives":28409,"arding":28410,"Ġadvers":28411,"Ġbackwards":28412,"ĉcontext":28413,"ĠHamp":28414,"ĠPF":28415,"ĠDeck":28416,"ĠCraig":28417,"American":28418,"Ġbell":28419,"Ġprol":28420,"ufen":28421,"Ġrng":28422,"arshal":28423,"ĠSimply":28424,"firstname":28425,"shore":28426,"July":28427,"Ġmortality":28428,"ĠâĨĴĊĊ":28429,"Helpers":28430,"Ġbenchmark":28431,"emade":28432,"Ġorganisations":28433,".gson":28434,"ĠTextField":28435,"Ġcivilians":28436,".Arrays":28437,"ĠMississippi":28438,"Ġintermediate":28439,"getUser":28440,"_cluster":28441,"Relative":28442,"foreign":28443,".querySelectorAll":28444,"ForeignKey":28445,"Ġreasonably":28446,"---------Ċ":28447,"Cards":28448,"ĠKam":28449,"ĠThor":28450,"Ġroller":28451,"-element":28452,"ĠCurrency":28453,"ddie":28454,"ALLY":28455,"ĠRA":28456,"Ġpermet":28457,"aaaa":28458,"Ġhomework":28459,"ĠVit":28460,"Ġmold":28461,"ĠFer":28462,"[start":28463,"Ġstatistical":28464,"Ġscary":28465,"_HOME":28466,".Begin":28467,"Construct":28468,"ogenic":28469,"ĠDEALINGS":28470,"Ġtambién":28471,"ixon":28472,".ind":28473,"acre":28474,"Ġtransforms":28475,"ĠNap":28476,".Block":28477,"ussia":28478,"piration":28479,"ulent":28480,"Ġceil":28481,"Clause":28482,"naire":28483,"TES":28484,"Ġneat":28485,"STD":28486,"ĠRegExp":28487,"perform":28488,":)":28489,"Ġunions":28490,"Ġsublic":28491,"Ġwinds":28492,"loating":28493,"glich":28494,"Ġpagination":28495,"Skill":28496,"Apply":28497,"ĠOperator":28498,"istogram":28499,"Ġqualities":28500,"Cross":28501,"Ġdecom":28502,"],\"":28503,"ĠJuan":28504,".modal":28505,".Child":28506,"ĠRoger":28507,"STITUTE":28508,":CGRectMake":28509,"alette":28510,"Ġsta":28511,"aside":28512,"Ġblur":28513,"ĠWa":28514,"ifetime":28515,"reed":28516,"controls":28517,"Ġbins":28518,"Ġпол":28519,"*/,Ċ":28520,"UIS":28521,"ĠRou":28522,"ĠDemo":28523,"-awesome":28524,"ĠChain":28525,"Ġhasta":28526,"ĠBart":28527,".KEY":28528,"Ġvendors":28529,"nofollow":28530,"ĠDest":28531,"_builder":28532,"Ġargues":28533,"_answer":28534,"goto":28535,"ĠRESULT":28536,"ĠMON":28537,"Ġpoder":28538,"oons":28539,"_CASE":28540,"Ġreplic":28541,"Ġfinancing":28542,"ĠDATE":28543,"cern":28544,"_track":28545,"ties":28546,"/logo":28547,"ĠNEGLIGENCE":28548,"getType":28549,">T":28550,"bet":28551,"girl":28552,"ĠINCIDENTAL":28553,"-site":28554,".trigger":28555,"ĠLisa":28556,"_inputs":28557,"Ġrelatives":28558,"LoggedIn":28559,"Configure":28560,"IK":28561,".accept":28562,"Resume":28563,"ĠDraft":28564,"Ġ*>(":28565,"ĠWA":28566,"edian":28567,"erness":28568,"ĠLayoutInflater":28569,"*/čĊčĊ":28570,"othy":28571,"Ġobligation":28572,"Subscribe":28573,"Ġthumbnail":28574,"exist":28575,"Ġinsisted":28576,"ĠUICollectionView":28577,"ĠAngular":28578,"Ġtablets":28579,"ĠImpact":28580,"ãĢįĊĊ":28581,"aho":28582,"Ġcharacteristic":28583,"gd":28584,"Ġ=================================================":28585,"ourt":28586,"`.":28587,"Appro":28588,"Coordinate":28589,"Remember":28590,"Ġmarine":28591,"]=='":28592,"ĠAdministrator":28593,".getDefault":28594,"Ġforgot":28595,"ĠStructure":28596,"Vue":28597,"arsing":28598,"moment":28599,"kw":28600,"_cursor":28601,"Attack":28602,"Ġathletic":28603,"Ġdiagnosed":28604,"Ġende":28605,"åĪłéĻ¤":28606,"House":28607,"ĠPARAM":28608,"Ġwiki":28609,"ĠOpp":28610,"Ġconservation":28611,"Ġsnd":28612,"_tem":28613,"substr":28614,"ĠCape":28615,".sim":28616,"UTION":28617,"anan":28618,"âĢĻun":28619,"Ġgy":28620,"-work":28621,"Ġcompelling":28622,"='#":28623,"ĉsub":28624,"Ġdirectories":28625,"íĬ¸":28626,"Ġtouches":28627,"outines":28628,".Collection":28629,"schedule":28630,".lat":28631,"ĠDoctrine":28632,"CAA":28633,"ĠRefer":28634,"Ġshifts":28635,"Ġlikelihood":28636,"preter":28637,"ĠFemale":28638,"Ġintercept":28639,"Ġlou":28640,"çĻ»":28641,"Ġrug":28642,"ĠCrown":28643,"Ġ****************************************************************************":28644,"-product":28645,"Ġprompted":28646,"ungle":28647,"docker":28648,"ĠTu":28649,"ĠUnique":28650,"_Error":28651,"ulos":28652,"ĠâĦ":28653,"Ġ(`":28654,"Getting":28655,"_scal":28656,"ĠEnh":28657,"üt":28658,"Ġsustained":28659,"Ġpatches":28660,"Ġprosper":28661,"ĠGaza":28662,"_light":28663,"Ġincons":28664,"--------Ċ":28665,"ĉĉĠĠĠĠĠĠ":28666,"SF":28667,"CN":28668,":\";Ċ":28669,"ĠCollins":28670,"(*)":28671,"Ġcompilation":28672,"']čĊ":28673,"Ġconsequence":28674,",...":28675,"Ġdm":28676,"ĠBLOCK":28677,"Cluster":28678,"Ġski":28679,"(argc":28680,"Tuple":28681,"Ġjoins":28682,"ĠSheriff":28683,"War":28684,"indi":28685,"Ġcommented":28686,"HOST":28687,"Ġinvitation":28688,"apanese":28689,"Ġpermits":28690,"precedented":28691,"_zone":28692,"ĠAmy":28693,"_RD":28694,"Minimum":28695,"Ġinvocation":28696,".enable":28697,"ichten":28698,"-owned":28699,"\"id":28700,"_POINTER":28701,"Fac":28702,"Ġspecifications":28703,"Ġnomination":28704,"Ġgp":28705,"<(":28706,"Ġrobots":28707,"ĠJerry":28708,"Ġholders":28709,"Ġwand":28710,"cms":28711,"Ġ}))Ċ":28712,".Toast":28713,"ĠIList":28714,"Based":28715,"zoom":28716,"/style":28717,"ĠBeck":28718,"Men":28719,"Ġcontributing":28720,"Ġundo":28721,"ĠOH":28722,"ĠaddObject":28723,"Ġeigen":28724,"signup":28725,"éĶĻ":28726,"Ġdistant":28727,"PARATOR":28728,"ĠMari":28729,"Ġmá":28730,"Emp":28731,"ós":28732,"ĠìĪĺ":28733,"evt":28734,"+j":28735,"park":28736,"ĠStay":28737,"ĠDun":28738,"Ġsoy":28739,">%":28740,"azines":28741,"Ġtiempo":28742,"(me":28743,"present":28744,".This":28745,"Ġeditors":28746,"FIELD":28747,".Work":28748,"ĠUniverse":28749,"Ġdrunk":28750,".timer":28751,"Ġaltered":28752,"ĠNar":28753,"ëł¥":28754,".Active":28755,"idor":28756,"çŃ":28757,".deltaTime":28758,"Ġawkward":28759,""":28760,"ĠSafari":28761,"Ġtricks":28762,"MENTS":28763,"division":28764,"Ġvarying":28765,"ĠHighway":28766,"Ġphotographer":28767,"ĠStewart":28768,"Ġlasting":28769,".Pre":28770,".amazonaws":28771,"ĠLuck":28772,".Description":28773,"ĠNaz":28774,"neg":28775,"Ġcó":28776,"<<\"\\":28777,"ĠSurv":28778,"ĠUnc":28779,"Recipe":28780,".BorderStyle":28781,"Ġmodifications":28782,"-at":28783,"ATFORM":28784,"hdr":28785,"ako":28786,"Ġsublicense":28787,"ĠJump":28788,"Ġbeim":28789,"ĠManhattan":28790,".bool":28791,"_hw":28792,"ÑĤÑĮ":28793,"Bin":28794,"Ġgateway":28795,"\"\":":28796,"ĠUIS":28797,":\"+":28798,"-def":28799,"ĠRegular":28800,"/testing":28801,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":28802,"stringstream":28803,"Ġdispar":28804,"Ġmobil":28805,"-read":28806,"ĠAdapter":28807,"ĠChampions":28808,"Ġscheduler":28809,"Ġkills":28810,"ĠMultiple":28811,"irror":28812,"Ġgods":28813,"ADO":28814,"akte":28815,"ĠUsuario":28816,".circular":28817,"Ġrecept":28818,"ĠExpr":28819,"Ġelderly":28820,"Ġnicely":28821,"Ġbeste":28822,"Want":28823,"Ġclassical":28824,".sprite":28825,"objc":28826,"ĠMason":28827,"Ġsistema":28828,".Black":28829,"eso":28830,"ĠZeit":28831,"Ġdivid":28832,"Ġenters":28833,"_subject":28834,"ĠPlanet":28835,".warning":28836,"ĠGram":28837,"_tokens":28838,"Ġhouseholds":28839,"_customer":28840,"userName":28841,"cross":28842,"Ġpione":28843,"Ġassists":28844,"_SM":28845,"ibo":28846,"Ġloyal":28847,"Ġuseless":28848,"#elif":28849,"ĠUltimate":28850,"Come":28851,"gel":28852,"Ġdich":28853,"xyz":28854,"ikel":28855,"obra":28856,"_scan":28857,"ĠInterior":28858,"ĠNice":28859,"Ġplac":28860,"ĉtarget":28861,"Ġviral":28862,"asso":28863,"()/":28864,"unde":28865,"ĠAdobe":28866,"Os":28867,"visited":28868,"ĠOW":28869,"ĠFeed":28870,"ĠSequence":28871,"Ġmanages":28872,"inson":28873,"ĠLouisiana":28874,"{})":28875,"ĠHab":28876,"ĠLD":28877,"Ġbip":28878,"prites":28879,"(elem":28880,".hibernate":28881,"élé":28882,"Ġohne":28883,"_transaction":28884,"Ġannunci":28885,"Published":28886,"ĠHonda":28887,"ĠTam":28888,"ĠPacket":28889,"_selector":28890,"Ġchallenged":28891,"Processing":28892,"-hover":28893,"Ġtrainer":28894,"_cancel":28895,"ĠNSDictionary":28896,"abric":28897,"ĠMLS":28898,"_sensor":28899,"Ġshrink":28900,"ĠFX":28901,"threshold":28902,"ĉHX":28903,"-mark":28904,"`.`":28905,"Scheme":28906,"(full":28907,"_writer":28908,"ĠSys":28909,"Ġfled":28910,"ĠCin":28911,"-widget":28912,"ĠPrevious":28913,"Gender":28914,"_question":28915,"Feed":28916,"Ġscrut":28917,"(prefix":28918,"ãĢĤãĢĤ":28919,"Ġinfections":28920,"Parts":28921,"Ġhierarchy":28922,"_DELETE":28923,"ĠPatient":28924,"_pay":28925,"Ġpromoted":28926,"Ġìĭ":28927,"Ġcivilian":28928,"Ġagriculture":28929,"ĠPiece":28930,"Ġstance":28931,"utsche":28932,"Assign":28933,".ACTION":28934,"Fig":28935,"_radius":28936,"ĠSync":28937,"ducer":28938,"failure":28939,"ensed":28940,"ptime":28941,"BM":28942,"_datetime":28943,"quivo":28944,"QUEUE":28945,"èĢħ":28946,"Appear":28947,"Ġsummit":28948,":void":28949,"Ġvine":28950,"认":28951,"onne":28952,"_TRANS":28953,".green":28954,"_cc":28955,"Ġhungry":28956,"Ġ\">":28957,"());čĊčĊ":28958,"Extract":28959,"izens":28960,"Ġsolver":28961,"Notify":28962,"Ġenglish":28963,"ĠShopping":28964,"interfaces":28965,"REQ":28966,"Ġilleg":28967,"ĠUIImageView":28968,"Ġdisconnect":28969,"ĠUntil":28970,"ĠConservative":28971,"@Column":28972,"Ġshifted":28973,"Ġ:čĊ":28974,"Ġfich":28975,"Ġdla":28976,"Ġshoe":28977,"\"),čĊ":28978,"ularity":28979,"_RESP":28980,"Weather":28981,"UIApplication":28982,".iterator":28983,"Ġaging":28984,".Parent":28985,"owie":28986,"(equal":28987,"ĠConv":28988,"/default":28989,"Ġmeasuring":28990,".prev":28991,".IsValid":28992,".Fat":28993,"ĠsÄĥ":28994,"keywords":28995,"without":28996,"Ġsovere":28997,"Ġexchanges":28998,"Ġmelt":28999,"Ġislands":29000,"ĠIntegr":29001,"Ġjumping":29002,"Ġgle":29003,"Ġjournalism":29004,"Ġdated":29005,"Localized":29006,"ĠRefresh":29007,"Particle":29008,"Ġaa":29009,"ĠSTRICT":29010,"Ġbod":29011,".Process":29012,"_AUTO":29013,"ĠPublished":29014,"every":29015,"Ġtechnological":29016,"lsx":29017,"Ġirrit":29018,"Additional":29019,"Ġdelimiter":29020,"_language":29021,"-area":29022,"boys":29023,"ĠTube":29024,"Ġwat":29025,"Ġmechanics":29026,"_owner":29027,"Spell":29028,"ĠStories":29029,".AppendLine":29030,"TableView":29031,"hem":29032,"stick":29033,"ollower":29034,"IFF":29035,"ĠUV":29036,"ollision":29037,"SUB":29038,"Ġcomparable":29039,"Ġdonde":29040,"sales":29041,"llvm":29042,"Ġ}],Ċ":29043,"OTTOM":29044,"ĠPurpose":29045,"Lab":29046,"Ġinterviewed":29047,"ois":29048,"asil":29049,".setId":29050,"ĠInstruction":29051,"-->":29052,"ĠModified":29053,"ationally":29054,"ĠMeeting":29055,"误":29056,"#region":29057,"Ġrouting":29058,".focus":29059,"ĠYouth":29060,"<":29348,"Ġunto":29349,"ologically":29350,"ĠMul":29351,"VIDIA":29352,"Ġslim":29353,"ĠCommissioner":29354,"(on":29355,"Ġunderneath":29356,"/db":29357,"vote":29358,"(Message":29359,"ĠPope":29360,"Defined":29361,"Ġswift":29362,"urf":29363,"Ġadapted":29364,"SEL":29365,"Ġrevenues":29366,"Ġdivine":29367,"=y":29368,"Gradient":29369,"_act":29370,"Ġ/*!<":29371,"Ġpolygon":29372,"ĠFDA":29373,"ĠCarr":29374,"atables":29375,"(stdout":29376,"Ġrefriger":29377,"Ġcoordin":29378,"avorites":29379,"ÑĪи":29380,"Ġcompassion":29381,"ĠPOSSIBILITY":29382,"-secondary":29383,"uracy":29384,"Ġcompromise":29385,"_AV":29386,"_os":29387,"Ġbeside":29388,"ĥĿ":29389,"Ġln":29390,".plugins":29391,"Capacity":29392,"alah":29393,".bin":29394,"ĠCRC":29395,"_balance":29396,"ĠflexDirection":29397,"Ġambit":29398,"Ġnickname":29399,"ĠForces":29400,"CLE":29401,"ĠShell":29402,"Ġsail":29403,"ĠWriter":29404,"ĠAlice":29405,"dw":29406,"ĠIndians":29407,"ĠMarshall":29408,"_SRC":29409,"Ġnormalized":29410,"ĠJag":29411,"ãĤĴ":29412,"zeit":29413,"rpc":29414,"ÃŃc":29415,".inline":29416,"Ġtravers":29417,"_numeric":29418,"Ġutilities":29419,"Ġevac":29420,"INPUT":29421,"ĉregister":29422,"MX":29423,"ĠCampbell":29424,"Ġdatasets":29425,"Ġdemanded":29426,"ĠinitialState":29427,"gan":29428,"Ġei":29429,"Unexpected":29430,"-web":29431,"trait":29432,",Y":29433,"ĠTodd":29434,"Ġskeleton":29435,"Ġoptimize":29436,"第":29437,"ĠUpon":29438,"ĠStObject":29439,"Ġaplic":29440,".'P":29478,"vron":29479,".UN":29480,"Ġpainter":29481,"izarre":29482,"Ġlav":29483,"Ġpom":29484,"preg":29485,"=function":29486,"(serial":29487,"ifica":29488,"uming":29489,"åľ°":29490,"ãģĤ":29491,"-op":29492,"UCH":29493,"ĠHend":29494,".propTypes":29495,"Ġyo":29496,"Ġroutines":29497,"Ġcaring":29498,"Sem":29499,"Ġreserves":29500,"Ġpriorities":29501,"redits":29502,"ISTR":29503,"ContentType":29504,"ĠSchw":29505,"/media":29506,"Ġestr":29507,"Ġclimbing":29508,"-week":29509,"cherche":29510,"sensor":29511,"ToArray":29512,"ĠMontreal":29513,"Ġclouds":29514,"ĠInjectable":29515,"ĠRice":29516,"Ġpropaganda":29517,"_provider":29518,"Ġindoor":29519,"Ġinaug":29520,"Ġdiplom":29521,"Ġmessaging":29522,"_mut":29523,"å¦Ĥ":29524,"Ġkw":29525,"ONS":29526,"arians":29527,"RPC":29528,")]čĊ":29529,"-ray":29530,"ĠSor":29531,"mall":29532,"Ġmarketplace":29533,"Ġvtk":29534,"Ma":29535,"ogan":29536,"igi":29537,"Ġsponsored":29538,"ĠDani":29539,".SEVER":29540,">'.$":29541,"multipart":29542,"ĠWol":29543,"ĠtableName":29544,"ĠUsername":29545,"BackgroundColor":29546,"Ġfright":29547,"_EMAIL":29548,"September":29549,"_vals":29550,"opia":29551,"Ġspotted":29552,"-Ch":29553,"ĠdataSource":29554,"/\"Ċ":29555,"екÑĤ":29556,"ĠRequestMethod":29557,"ĠReplace":29558,"-do":29559,"ahn":29560,"ĠPhD":29561,"].ĊĊ":29562,"NON":29563,"gement":29564,"ĠThr":29565,"Ġquietly":29566,"Ġtorture":29567,"Ġteas":29568,"ĠCY":29569,"Ġatr":29570,"development":29571,"-detail":29572,"Ġlighter":29573,"Ġarguing":29574,"Ġdeserves":29575,"Ġcurriculum":29576,"_CONTEXT":29577,"ÅĤy":29578,"HITE":29579,"ĉID":29580,"/uploads":29581,"Ġtits":29582,"reo":29583,"_drop":29584,".UTF":29585,"Ġpickup":29586,"Ġgrocery":29587,"ĠPure":29588,"Ġeasiest":29589,"Phil":29590,".feature":29591,"(\"*":29592,"Ġinvestor":29593,"tok":29594,"Ġjar":29595,"Los":29596,"âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ":29597,".queue":29598,"-speed":29599,"Mal":29600,"umblr":29601,"ĠCONST":29602,"ĠHRESULT":29603,"ĠDance":29604,"(filePath":29605,"Ġattributed":29606,"à¥į":29607,"ĠBund":29608,"coins":29609,"Ġsão":29610,"Ġpir":29611,"personal":29612,"Ġprelim":29613,"Ġpropose":29614,"ĠTL":29615,"]])":29616,"ĠSubscription":29617,"ĠKre":29618,",len":29619,".FirstOrDefault":29620,")--":29621,"_products":29622,".GetBytes":29623,"Ship":29624,"Ġencrypt":29625,"ĠSG":29626,"ĠMyst":29627,"hir":29628,"Ġiterate":29629,"Ġintend":29630,".mockito":29631,"Ġchapters":29632,"(angle":29633,"ĠVlad":29634,"设":29635,"'.ĊĊ":29636,"ResponseBody":29637,"ĠAbd":29638,"deal":29639,"Ġbarriers":29640,"-outline":29641,"bill":29642,"ĠFalls":29643,"_second":29644,".include":29645,".ceil":29646,"Ġoccupation":29647,"phony":29648,".moveTo":29649,"ĠJennifer":29650,"ASTER":29651,";\"><":29652,"ĠEnabled":29653,"Ġterminate":29654,"ĠIo":29655,"lations":29656,"ĠTHEORY":29657,"Ġearliest":29658,"Ġrack":29659,"ĠScar":29660,"shake":29661,"chip":29662,"Ġuv":29663,"Ġalliance":29664,"пиÑģ":29665,"ĠGOODS":29666,"zione":29667,"ĠVI":29668,"Ġ{-":29669,"Ġfiltering":29670,"Ġmiscon":29671,".DockStyle":29672,"Ġbush":29673,"Ġjunk":29674,"æĮ":29675,"ĠQUE":29676,"Ġhooks":29677,"Ġfirmware":29678,"Ġmiddleware":29679,"dic":29680,"ĠOakland":29681,"Ġarrives":29682,"Payload":29683,"pixel":29684,"]|":29685,"ĠstartDate":29686,".PRO":29687,"_audio":29688,"Ġmidfield":29689,"igidbody":29690,"ĠSwiss":29691,"ĠClip":29692,"ĠDump":29693,"ĠTextBox":29694,"Ġgeh":29695,"yield":29696,"ods":29697,"Ġreferendum":29698,"Backend":29699,"ĠCream":29700,"Ġdominated":29701,"ĠArchive":29702,"Ġriders":29703,".prepareStatement":29704,"Ġquando":29705,"Ġchef":29706,"wiki":29707,"inel":29708,"ampling":29709,"(\"\\\\":29710,"Ġsag":29711,"_proxy":29712,"ãģķ":29713,"pdo":29714,".getElementsByTagName":29715,"Ġdemonstration":29716,"ĠNPC":29717,"Ġarchivo":29718,"endance":29719,"Ġefficiently":29720,"(actual":29721,".tableView":29722,"Ġmush":29723,"Ġbears":29724,"_threads":29725,"jas":29726,"ahun":29727,"Ġneural":29728,"Ġdesigning":29729,"ĠGDP":29730,"Ġlifted":29731,"缮":29732,"ĠJoint":29733,"ĠInclude":29734,"ĠGiants":29735,"Ġwithdrawal":29736,"ĠRent":29737,"native":29738,"ĠSeek":29739,"gression":29740,"_CPU":29741,"\\S":29742,"ĠShield":29743,"Ġsolic":29744,"Ġboom":29745,"yecto":29746,"Ġmanufacture":29747,"ĠâĢĭ":29748,"Ġbbox":29749,"Ġearthqu":29750,"ollectors":29751,":@\"%":29752,"Ġloops":29753,"Je":29754,"alking":29755,"ĠWhats":29756,"ĠBoys":29757,".book":29758,"ARGE":29759,"_pixel":29760,"Ġsuspects":29761,"ι":29762,"usp":29763,"ĠBMW":29764,"ieces":29765,"(person":29766,"å¼Ģ":29767,"é»":29768,"ĠPodcast":29769,"Ġbou":29770,"(Item":29771,"û":29772,"(Input":29773,"HttpGet":29774,"Ġburg":29775,")^":29776,"BOARD":29777,"*/,":29778,"Ġgulp":29779,"ĠBenn":29780,"Ġdecks":29781,".statusCode":29782,"Ġacute":29783,"Ġhug":29784,"ugu":29785,"Ġpled":29786,",\"%":29787,"hape":29788,"Ġзап":29789,"ĠMaine":29790,".real":29791,"Ġdalam":29792,"ĠMinor":29793,".Float":29794,"disp":29795,"Ġtl":29796,"Ġencount":29797,"=>$":29798,"Ġfg":29799,"tees":29800,"ĠRecomm":29801,"äl":29802,"Ġchemistry":29803,"Blocks":29804,"OID":29805,"Ġforex":29806,"ĠAppend":29807,"Ġ{*":29808,"ĠSupply":29809,"CGFloat":29810,"(bl":29811,"Ġate":29812,"adora":29813,"Ġgust":29814,"Associ":29815,">.Ċ":29816,"FETCH":29817,".serial":29818,"widgets":29819,"ardless":29820,"iefs":29821,"_FULL":29822,"ernetes":29823,"ĠPred":29824,"ØŃ":29825,"äºĭ":29826,"ubernetes":29827,"ĠLaura":29828,"Ġlabeled":29829,"Highlight":29830,"Ġannoying":29831,"/update":29832,"(description":29833,"Ġintimid":29834,"$c":29835,"\")))Ċ":29836,".AP":29837,"Ġ[]*":29838,"ĠEXIT":29839,".Host":29840,"ĠOPEN":29841,".sendMessage":29842,"_camera":29843,"_tile":29844,"Ġtherm":29845,"onomous":29846,"Ġdisadv":29847,"Ġnaar":29848,"indexOf":29849,"ĠPP":29850,".protocol":29851,"AFE":29852,"Ġtextures":29853,"################################################":29854,"umbai":29855,".stats":29856,"ĠGE":29857,"Ġie":29858,"ĠSTD":29859,"ĠMann":29860,".reflect":29861,"KB":29862,"Ġdive":29863,".wav":29864,"/*----------------------------------------------------------------":29865,"/settings":29866,".lifecycle":29867,"Ġdaughters":29868,"orus":29869,"uber":29870,"NING":29871,"stri":29872,"ĠTip":29873,"Ġzn":29874,"Ġswitched":29875,"inet":29876,"uffy":29877,"ĠTransportation":29878,"(conf":29879,"frica":29880,"ĠXL":29881,"ĠLead":29882,"_percent":29883,"__":29899,"permissions":29900,"ĠDetermine":29901,".Man":29902,"Ġadvances":29903,".InputStream":29904,"Ġstrongest":29905,"ĠeBay":29906,"Ġ#-":29907,"Ġdirname":29908,"ĠSMS":29909,"Ġmedications":29910,"Ġamended":29911,"Ġchurches":29912,"ĠImperial":29913,"$row":29914,"ĠMadison":29915,"ĠInsp":29916,"Ġaffair":29917,"Ġpsychology":29918,"vh":29919,"Ġseverity":29920,"âĢIJ":29921,"Ġstrips":29922,"AH":29923,"vertising":29924,"Ġconse":29925,"IMAGE":29926,"ĠStats":29927,"ĉsc":29928,".Cursor":29929,"Ġfreeze":29930,"sson":29931,"(xml":29932,"ĠSusan":29933,".tile":29934,"eded":29935,"ĠĠĠĠĉĉĉ":29936,"uelle":29937,"ĠMitchell":29938,"based":29939,"Operand":29940,"½æķ°":29941,"ĠFF":29942,"ĉstrcpy":29943,"ounces":29944,"ildo":29945,".executeQuery":29946,"Ġapproaching":29947,"ĠSeven":29948,"Ġnuts":29949,"Ġric":29950,"assignment":29951,"Ġcalculator":29952,"ĠMurphy":29953,"ĠBou":29954,"íĦ":29955,"Ġbutt":29956,"Ġticks":29957,"Projects":29958,"ilib":29959,".textColor":29960,"mov":29961,"_logo":29962,"(template":29963,"ĠINIT":29964,"ĠimageView":29965,"scriptions":29966,"ORITY":29967,"Consumer":29968,"Ġunprecedented":29969,"Ġtourist":29970,"Ġbron":29971,"Ġcontractor":29972,"Ġlicence":29973,"ĠNam":29974,"æ¯":29975,"(transform":29976,"_ATT":29977,"Pref":29978,"ĠGam":29979,"Ġvessels":29980,"Ġhav":29981,"Later":29982,".ToLower":29983,"Ġurls":29984,"Ġbreakdown":29985,"Ġpenalties":29986,"Ġfoster":29987,"ĠUE":29988,"Ġclue":29989,"comed":29990,"åIJį称":29991,"-main":29992,"Ġpts":29993,"Ġcounted":29994,"icts":29995,"/post":29996,"Ġgetattr":29997,"Ġping":29998,"ANCEL":29999,"Ġpec":30000,"Ñħод":30001,"antom":30002,"ĠBlueprint":30003,"ĠEventEmitter":30004,"Ġlä":30005,"æ²":30006,"Ġstraw":30007,"(comp":30008,"'une":30009,">N":30010,"-client":30011,"esModule":30012,"-base":30013,"Ġretreat":30014,"_simple":30015,"ĉĉĉĉĉĉĠ":30016,"fee":30017,"')čĊčĊ":30018,"ControlItem":30019,"Ġsubscribers":30020,"please":30021,"ĠEff":30022,"Ġpound":30023,"ĠBytes":30024,"ĠTea":30025,"_activity":30026,"Ġmaxim":30027,"Ġopcode":30028,"BSD":30029,".constant":30030,";}":30031,"ombres":30032,"Ġcareers":30033,").ĊĊĊĊ":30034,"Ġspreading":30035,"-expanded":30036,"ĠOrd":30037,"amarin":30038,"Ġmobility":30039,"Unfortunately":30040,"akk":30041,"NL":30042,"_redirect":30043,"ĠPG":30044,"ĠSensor":30045,"bol":30046,"tap":30047,"_MEMORY":30048,"ĠUIAlert":30049,"plitude":30050,"Website":30051,"ĠLogo":30052,"love":30053,"[ind":30054,"Ġaltogether":30055,"Ġwondered":30056,"Ġesper":30057,"ĠLiberal":30058,"Ġoss":30059,"Ġelit":30060,"Ġstiff":30061,"odox":30062,"_mentions":30063,"ĠDouglas":30064,"_pid":30065,"ĠCK":30066,"ĠinitWithFrame":30067,".blog":30068,"pkg":30069,"anghai":30070,"QUIRED":30071,"uu":30072,"Ġmkdir":30073,"ATAL":30074,"Ġunh":30075,"inces":30076,"sth":30077,"Ġhypothesis":30078,"Ġcata":30079,"ĠTB":30080,"ĠClar":30081,"Ġpredecess":30082,"Ġsituated":30083,"-world":30084,"))/":30085,"Ġheadlines":30086,".stat":30087,"Ġoutbreak":30088,"spath":30089,"_FLAGS":30090,"ĠServletException":30091,"Sun":30092,"FROM":30093,"ĠDir":30094,"ãĥ»ãĥ»ãĥ»":30095,"_coord":30096,"ĠOptim":30097,"Monitor":30098,".bit":30099,"XXX":30100,"Ġtodas":30101,"feld":30102,"ÑĢи":30103,"imir":30104,"Ġpolitically":30105,"Ġmolecular":30106,"Ġtraded":30107,"Ġ{{$":30108,"ĠSwedish":30109,"Ġ'@/":30110,"_REAL":30111,"Ġwarehouse":30112,"today":30113,",L":30114,"orp":30115,"false":30392,"Ġspa":30393,"ĠNear":30394,"ìķ":30395,"Ġintrig":30396,"_members":30397,"wave":30398,"Ġanalysts":30399,"_OS":30400,"edin":30401,"ĠFri":30402,"Ġretrieved":30403,"Regular":30404,"_obs":30405,"EXPORT":30406,"')}}\"":30407,"\"class":30408,"__((":30409,"bucket":30410,"Ġstro":30411,"ĠPatch":30412,"ystick":30413,"fulness":30414,"apos":30415,"Da":30416,"ĉĉĉĉĉĠĠĠ":30417,"Ġenrich":30418,"unordered":30419,"hole":30420,"Cong":30421,"';ĊĊ":30463,"STRUCT":30464,"QR":30465,"IDs":30466,"(arguments":30467,"_aux":30468,"(Event":30469,"_PRIVATE":30470,"ĠTrek":30471,"Ġdownloads":30472,"mutable":30473,"_STRUCT":30474,"(wx":30475,"Ġdomains":30476,"jspx":30477,"ĠViagra":30478,"Commands":30479,"Js":30480,".cfg":30481,"ContentPane":30482,"ĠEditText":30483,"à¥įà¤":30484,"Attach":30485,"ĠARM":30486,"positive":30487,"ĠGenerated":30488,"Ġseized":30489,"=:":30490,"Ġelectronics":30491,"ĠAppComponent":30492,"/',Ċ":30493,".equalsIgnoreCase":30494,"Doctrine":30495,"disk":30496,"ĠPolitical":30497,"CHO":30498,"":30584,"ĠBeauty":30585,"Ġ`<":30586,"Ġtouching":30587,"Ġ|--":30588,"ĉflag":30589,"normalize":30590,"Ġtrapped":30591,"Ġestablishing":30592,"/build":30593,"AJ":30594,"fy":30595,"-react":30596,"avn":30597,"RIPTION":30598,"Ġkut":30599,"ĠFashion":30600,"ĠInform":30601,"curities":30602,"{Ċ":30634,"Ġgarlic":30635,"Ġrepr":30636,"Ġreplies":30637,"(prop":30638,"Ġspirits":30639,"Ġinspire":30640,"Ġbasement":30641,".reject":30642,"Ġhints":30643,"Ġpolling":30644,"ĉĠĊ":30645,"_rating":30646,"Ġcath":30647,"avier":30648,"Ġcompressed":30649,"ĠVS":30650,"]'":30651,"Ġjudicial":30652,"ĠTrend":30653,"training":30654,"ESTAMP":30655,"ognition":30656,"Äģ":30657,"SENT":30658,"ventions":30659,"Ġconsultant":30660,"umph":30661,"ĠuserService":30662,",NULL":30663,"kh":30664,"Dear":30665,"_BAD":30666,"itations":30667,"Ġmetaph":30668,"'é":30669,"andise":30670,"-font":30671,".chart":30672,"Ġsg":30673,"_Controller":30674,".jpeg":30675,"ĠULONG":30676,"ĉgame":30677,"(ss":30678,"ĠMaj":30679,"ĉgo":30680,"ĠSad":30681,"ĠBerg":30682,"ĠMine":30683,"Pack":30684,"Ġresistant":30685,"ĠROM":30686,"Ġpeg":30687,"ĠStanford":30688,"ĠYahoo":30689,"Ġscaled":30690,"Ġlan":30691,"=[]":30692,"\"/>ččĊ":30736,"Ġsud":30737,"ĉbackground":30738,"Ġscholars":30739,"-muted":30740,"ará":30741,"Ġ=====":30742,"Ġ____":30743,"Creat":30744,"enever":30745,"/wp":30746,"ĠVPN":30747,"ErrorCode":30748,")],Ċ":30749,"(builder":30750,"ĠEnemy":30751,"Sensor":30752,"usa":30753,"Ġtriggers":30754,"Ġplayoffs":30755,"_REQ":30756,"Ġ(~":30757,"ĠBarry":30758,"Ġpermanently":30759,"ĠRUN":30760,"Ġbure":30761,".Fatalf":30762,"Ġchick":30763,"ĉpanic":30764,"psi":30765,"oka":30766,"éĢī":30767,">[":30768,"Ġunderstands":30769,"ĠJunior":30770,"ĠINFO":30771,"=mysqli":30772,"ustain":30773,"-source":30774,"serv":30775,"ĠCREATE":30776,".au":30777,"Ġsells":30778,"ĠĠĊĠĠĊ":30779,"Europe":30780,"zw":30781,"preh":30782,"ĠNSA":30783,"Ġxy":30784,"ิ":30785,"ĠBeyond":30786,"Instead":30787,"NonQuery":30788,"Ġarise":30789,"Ġavoided":30790,".emplace":30791,"_models":30792,"}),Ċ":30793,"Ġhid":30794,"Ġ&_":30795,".points":30796,".getWidth":30797,".Exec":30798,"Ġ////":30799,"ĠSessions":30800,"...\\":30801,"ĠColomb":30802,"Ġacceleration":30803,"restore":30804,"Ġile":30805,"obic":30806,"}Ċ":31296,"plaint":31297,"getText":31298,"Ġindividually":31299,"Ġcheckbox":31300,"UY":31301,"ĠLamb":31302,"Ġdysfunction":31303,"ĠLar":31304,"à°":31305,"ĠCreating":31306,"');ĊĊĊ":31307,"\"They":31308,"locations":31309,"_CORE":31310,"Interaction":31311,"umbnails":31312,"ĠPartner":31313,"brit":31314,"Ġlesser":31315,"ĠSlot":31316,"setAttribute":31317,"ĠWave":31318,".po":31319,"/store":31320,"Ġbrowsing":31321,"_pd":31322,"sume":31323,"sed":31324,"Curve":31325,"Ġplasma":31326,"Ġsuspicious":31327,"ìĿ¸":31328,"ĠBah":31329,"ĠExplicit":31330,"_CC":31331,".ClientSize":31332,"\\View":31333,"Ġsubstit":31334,"loon":31335,"ĠGAME":31336,"ĠBrid":31337,"Ľå»º":31338,"_User":31339,"Ġsquares":31340,"fone":31341,"Ġsacred":31342,"ughs":31343,"]interface":31344,"ĠThrow":31345,"ĠKirk":31346,"Ġempire":31347,"Ġassessed":31348,"Tax":31349,"ĠHeaven":31350,"-buffer":31351,"_STATIC":31352,"éné":31353,"-bordered":31354,"Ġpunct":31355,"(mode":31356,"Ġkeine":31357,"Sent":31358,"ĠCalcul":31359,"ĠEve":31360,"Ġstylish":31361,"Ġoils":31362,".TestCase":31363,"Ġtrademark":31364,"Ġliterary":31365,"Ġconcentrations":31366,"ĠRelations":31367,"(Class":31368,"Ġstdin":31369,"Ġvæ":31370,"backup":31371,".VERSION":31372,".AutoScaleDimensions":31373,"starter":31374,"Transactional":31375,"-panel":31376,"Studio":31377,"kc":31378,"ĠChamber":31379,"ĠSpiel":31380,"Ġrho":31381,"اÙĦ":31382,"!'":31383,".Attributes":31384,"Ġmurdered":31385,"apeutic":31386,"Ġintimate":31387,"ĠtextField":31388,"ĠBuffalo":31389,"dummy":31390,"\"%":31391,"ĠLiberty":31392,"obar":31393,"ĠTank":31394,"ĠPopular":31395,"ervisor":31396,"ĠIniti":31397,"ĠMall":31398,"ĠPrior":31399,"CAP":31400,"ĠClay":31401,"ĠCertificate":31402,".Lock":31403,"-strip":31404,"-driven":31405,"/all":31406,"ĠMessageBoxButtons":31407,"_SECRET":31408,"_pb":31409,"Ġrats":31410,"ाà¤":31411,"Ġnt":31412,".Router":31413,"_topic":31414,"Ġtennis":31415,"ĠPUBLIC":31416,"ĠActivatedRoute":31417,"Ġ',Ċ":31418,"Ġcostume":31419,"Ġjokes":31420,".Handle":31421,"ĉbyte":31422,"Ġflavors":31423,"(cc":31424,"Ġpersonas":31425,"ĉimage":31426,"ĠNazi":31427,"Ġgrammar":31428,"Ġúlt":31429,"Ġvalve":31430,"Ġvic":31431,"ĠRachel":31432,"_invalid":31433,"Prefs":31434,"stdint":31435,"(route":31436,"Ġhtmlspecialchars":31437,"Ġpeoples":31438,"pline":31439,"Ġnv":31440,"ĠQuant":31441,"oppers":31442,"ĠcurrentUser":31443,"ĠCatal":31444,"Ġreconc":31445,"Ġconjunction":31446,"lx":31447,"amburg":31448,"Ġinfluential":31449,"danger":31450,"inders":31451,"Ġ%@\",":31452,".configuration":31453,"osome":31454,".identity":31455,"Ġpicker":31456,"nost":31457,"ĠDIY":31458,"August":31459,"ablo":31460,"Leaf":31461,"ĠReco":31462,"cko":31463,"DOC":31464,"ĠHerm":31465,":any":31466,"ĠInterview":31467,"ĠTex":31468,"xfe":31469,"(work":31470,"Ġleap":31471,"Heading":31472,"Ġquarters":31473,"\\Bundle":31474,"reb":31475,"Perhaps":31476,"ĠGmbH":31477,"Birth":31478,"ĉsum":31479,"ĠWatson":31480,".nil":31481,"ç¡":31482,"{}ĊĊ":31483,"icaid":31484,"Getter":31485,"\"name":31486,"Ġ\"čĊ":31487,"_none":31488,"zm":31489,"acute":31490,"uesto":31491,"Ġsous":31492,"Ġrebuild":31493,"Ġnewspapers":31494,"ĠHaz":31495,"Ġkits":31496,"ifo":31497,"Blur":31498,"Ġsuited":31499,"-In":31500,"à¯":31501,"ĠKeith":31502,"ĠNorway":31503,"INIT":31504,"ireccion":31505,"ieties":31506,"_usage":31507,"ĠDoug":31508,"rise":31509,"Ġtrillion":31510,"imited":31511,"ĠREL":31512,"alic":31513,"Ġcriticized":31514,"theorem":31515,"Ġcease":31516,"Ġsidew":31517,"ĠTerry":31518,"Ġsubsidi":31519,"Ġfirmly":31520,"Ġaws":31521,"Ġhott":31522,"Ġdressing":31523,"badge":31524,"ĠApplications":31525,"è¿ĶåĽŀ":31526,"Ġlaughed":31527,"Ġhobby":31528,"Ġmusicians":31529,"Ġ*.":31530,".placeholder":31531,"Ġcounters":31532,"ĠCapitol":31533,"SDK":31534,"Ġhelmet":31535,"andbox":31536,"quit":31537,"Ġcriminals":31538,"Ġteenager":31539,"(update":31540,"Gl":31541,".selection":31542,"Ġdischarge":31543,"Ġpresenting":31544,"ufacturer":31545,"_UNKNOWN":31546,"Ġstressed":31547,"åĻ¨":31548,"Proto":31549,"_correct":31550,"haus":31551,"Ġrenov":31552,"Ġfirearms":31553,"Ġtechnically":31554,"-browser":31555,"Ġcandy":31556,"Stroke":31557,"Ġexecutor":31558,"Ġoccurrence":31559,"ĠIPv":31560,"_INTERFACE":31561,"ĠRetrieve":31562,".bad":31563,"Exchange":31564,"Navbar":31565,"ĠKid":31566,"(getApplicationContext":31567,"_STOP":31568,"ĠBoss":31569,"Listeners":31570,"Ġshooter":31571,"ĠAlb":31572,"äch":31573,"Ġpix":31574,".keyCode":31575,"alone":31576,"Ġabsurd":31577,"ĠCum":31578,"ĠNewtonsoft":31579,"ikt":31580,"Ġlaughing":31581,"Ġcapitalism":31582,"reeNode":31583,"Tx":31584,"_QUERY":31585,".Sleep":31586,"(login":31587,"WebElement":31588,"Ġcelebrating":31589,"Ġdeprecated":31590,"Ġmaar":31591,"Ġartistic":31592,"_ASSOC":31593,"ĠBorderRadius":31594,"ĉwp":31595,"Ġsurvivors":31596,"Inner":31597,"-red":31598,"Ġprosecution":31599,"_pp":31600,"(\"$":31682,"Ġcomma":31683,"unchecked":31684,"graphics":31685,"rors":31686,"GROUND":31687,"(public":31688,"Ġcustomized":31689,"ĠArkansas":31690,"ĠRew":31691,"Ġexpiration":31692,"×ķ":31693,"ĠCul":31694,"Ġnons":31695,".Filter":31696,"Ġsenator":31697,"_definition":31698,"ashington":31699,"ymph":31700,"/J":31701,"Ġfuse":31702,"ramid":31703,"ĠSupplier":31704,"Ġautocomplete":31705,"Ġ}),":31706,".\"ĊĊĊ":31707,"_functions":31708,"ĉto":31709,".eval":31710,"ĠTObject":31711,"References":31712,"Ġheated":31713,"HAL":31714,"Ġ))}Ċ":31715,"}$":31716,"ĠBarr":31717,"_UNIT":31718,"+$":31719,"ĠgetValue":31720,"iped":31721,"chied":31722,"(vm":31723,"cue":31724,"_integer":31725,"_course":31726,"third":31727,"Ġrevised":31728,"**/Ċ":31729,"_DIRECT":31730,"OutOf":31731,"(\"(":31732,"ĠFeel":31733,"Ġreass":31734,"Ġsubtitle":31735,"peri":31736,"nf":31737,"Ġenjoys":31738,"Ġtreats":31739,")this":31740,"-tabs":31741,"ancers":31742,"Ġcontinent":31743,"Ġcardio":31744,"Ser":31745,".question":31746,"Ġphrases":31747,"Validators":31748,"Ġpopul":31749,"ĠlÃŃ":31750,"song":31751,"_INTERNAL":31752,"Ġadviser":31753,"Ġpuzz":31754,"Ġambitious":31755,"ĠTob":31756,"ĠDP":31757,"Ġpresidency":31758,"Ġsurrender":31759,"Ġwatches":31760,"_binary":31761,"ĠSoon":31762,"Ġcanada":31763,"(\"\")Ċ":31764,"]='":31765,"ĠBrandon":31766,"epsilon":31767,"rw":31768,".addChild":31769,".Copy":31770,"Principal":31771,"Photos":31772,"Ġmarginal":31773,"Ġbasics":31774,"eing":31775,"Must":31776,"_String":31777,"Ġole":31778,"Magento":31779,".customer":31780,"(prev":31781,"ล":31782,"Ġloyalty":31783,"Cog":31784,"Ġprotocols":31785,"ĠCompanies":31786,"Ġtheoretical":31787,"Ġaccessing":31788,"ĠZen":31789,".ones":31790,"attice":31791,"_world":31792,"zes":31793,"Ġtattoo":31794,"Ġmenos":31795,"Ġintersect":31796,"\"];ĊĊ":31797,"belie":31798,"Ġinactive":31799,".readline":31800,"-labelled":31801,".done":31802,"lickr":31803,"ĠWORK":31804,"Ġderivative":31805,"Ġdatabases":31806,"âĤĤ":31807,"Ġsx":31808,".isArray":31809,"Ġys":31810,"Ġpada":31811,"ĠBullet":31812,"(`/":31813,"isActive":31814,"ĠCGSize":31815,"(equalTo":31816,"ĠColumbus":31817,"Ġmarry":31818,"DEV":31819,"_limits":31820,"rones":31821,"IAS":31822,"Ġtau":31823,"mino":31824,"_Write":31825,"ĠWine":31826,"Ġ[['":31827,"ĠPull":31828,"riters":31829,"rients":31830,"Ġshifting":31831,"upp":31832,"_TIMER":31833,"ĠConditions":31834,"ấ":31835,"ĠOrders":31836,"ĠStrength":31837,"æīĢ":31838,"Ġvalidity":31839,"Ġfot":31840,"etur":31841,"Ġbolt":31842,"åĨħ":31843,"ĠAlong":31844,"oshi":31845,"Ġassumptions":31846,"Ġmagazines":31847,"_SPI":31848,"Ġpunt":31849,"_PRODUCT":31850,"Ġrelay":31851,"ĠJavascript":31852,".te":31853,"-es":31854,"Ġwidgets":31855,"(fs":31856,"\";":31923,"atching":31924,"ĠKnowledge":31925,"ĉThe":31926,";margin":31927,"lessness":31928,"opard":31929,"umatic":31930,"()));čĊ":31931,"Ġfals":31932,"(cache":31933,"TypeId":31934,"éĢļ":31935,"_choice":31936,"ĠGoth":31937,"ĠSites":31938,"MG":31939,"_border":31940,"Indices":31941,"Comparer":31942,"ĠRedistribution":31943,"Ġcloset":31944,"Ġversatile":31945,"Inputs":31946,"********************":31947,"Ġobesity":31948,"quiz":31949,"gra":31950,"(global":31951,"åĬ¡":31952,"Ġcollector":31953,"Ġkor":31954,"ovable":31955,"ADC":31956,"ĠEventHandler":31957,".nc":31958,"Ġplayback":31959,"ientos":31960,"_perm":31961,"_WARNING":31962,"ĠOlympics":31963,".norm":31964,"ĠBroadcast":31965,"_small":31966,"drive":31967,".iloc":31968,"Ġtyped":31969,"MEM":31970,"_cons":31971,"DMETHOD":31972,"Ġlun":31973,".distance":31974,"(par":31975,"poon":31976,"Ġbast":31977,"activities":31978,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":31979,":čĊčĊ":31980,"SER":31981,")&&":31982,"_lst":31983,"ĠPolish":31984,"Ġknocked":31985,"Ġfrustration":31986,"aukee":31987,"Ġphosph":31988,"iquid":31989,"_coeff":31990,"æѤ":31991,"Latest":31992,"ĠDust":31993,"Tipo":31994,"Ġmaintains":31995,"Ġmarsh":31996,"incinn":31997,"lbl":31998,"Care":31999,"Ġneighborhoods":32000,"_gpio":32001,"ĠArsenal":32002,"Dem":32003,"ĠWhe":32004,"_hook":32005,"Ġldc":32006,"ĠHarper":32007,"ĠBerkeley":32008,"Ġgraduated":32009,"Percent":32010,"Ġarriving":32011,"ĠAdventure":32012,"(scope":32013,"('*":32014,"quarter":32015,"ĠMarie":32016,"Speaking":32017,"_codegen":32018,"Ġimmun":32019,"caster":32020,"ãĤĮ":32021,"åķĨ":32022,"ĠDimensions":32023,".record":32024,"Ġtexto":32025,"ĠMichelle":32026,"Pending":32027,"(by":32028,"_PAR":32029,"ucht":32030,"bee":32031,".Thread":32032,"ampire":32033,"know":32034,"ĠClinical":32035,"ĠmarginBottom":32036,"Ġdistinguish":32037,".Full":32038,".undefined":32039,"ĠSequelize":32040,"############################################################################":32041,"Ġeducated":32042,"_OVER":32043,"åºı":32044,"ĠÂłĠÂł":32045,"_each":32046,"Ġurge":32047,"depart":32048,"Ġdonors":32049,"ĠAu":32050,"Ġbillions":32051,"Ġbelonging":32052,"_age":32053,"_Int":32054,"Ġsubstances":32055,"machine":32056,"!!!ĊĊ":32057,"Ġjsonify":32058,"ibbean":32059,"ĠCad":32060,"ĠendTime":32061,"Ġcycling":32062,"ĠUITextField":32063,"Ġleverage":32064,"Ġvanilla":32065,"eat":32066,"Launch":32067,"(pt":32068,"states":32069,"ĠControls":32070,"ĠRespons":32071,"ĠJake":32072,"Ġasleep":32073,"fortunate":32074,".nextLine":32075,"SizeMode":32076,"ìĿ¼":32077,"TestingModule":32078,"German":32079,"ĠInvestig":32080,".reverse":32081,"ĠBACK":32082,"(DateTime":32083,"Ġnonprofit":32084,"ĠExpect":32085,"Ġtanto":32086,"']),":32087,"ĉthe":32088,"Multiple":32089,"(getActivity":32090,"_WAIT":32091,"Ġjá":32092,"decor":32093,"levance":32094,"ĠGitHub":32095,"mination":32096,"_quantity":32097,".Scanner":32098,"ĠLion":32099,"éĶĻ误":32100,"Ġdre":32101,"Ġtantra":32102,"ĠcontentType":32103,"Ġfid":32104,"_alt":32105,"NSIndexPath":32106,"-pl":32107,"åĮĸ":32108,"Ġantibiot":32109,"tables":32110,"acial":32111,"ĠRegistry":32112,"Ġolive":32113,"igers":32114,"Ġsubscriber":32115,"_pres":32116,"ĠSyntax":32117,"Ġlovers":32118,".Byte":32119,"olders":32120,"_forward":32121,"always":32122,"Caption":32123,"Priv":32124,"ĠTampa":32125,"isateur":32126,"-labelledby":32127,"ĠToString":32128,"ĠìĤ¬":32129,"Ġinitiated":32130,"WF":32131,"Ġinstitutional":32132,"inject":32133,"ĠScr":32134,"Ġdoctrine":32135,"Ġspacious":32136,"isure":32137,"ĠAna":32138,"\"time":32139,"essaging":32140,"Ġcid":32141,"ĠNan":32142,"Ġincomplete":32143,"TAG":32144,"-build":32145,"December":32146,"Ġresidual":32147,"(PDO":32148,"ĠListen":32149,"Ġglyph":32150,"Ġgaps":32151,"nea":32152,".Rect":32153,"Ġsau":32154,"ĠPhotograph":32155,"Ġexecutable":32156,"ĠExpert":32157,"Coroutine":32158,"_sizes":32159,"ĠNL":32160,".isValid":32161,");}Ċ":32162,"-reg":32163,"Ġciting":32164,"cwd":32165,"ĠOttawa":32166,"ĠBatt":32167,"Ġrenewable":32168,"Ġpreliminary":32169,"Ġasylum":32170,"Ġwrist":32171,"Ġutiliz":32172,"Ġdetention":32173,"Fast":32174,"Ġange":32175,"incinnati":32176,"Ġsteering":32177,"ĠNaN":32178,"iosity":32179,"/page":32180,"Ġè¿":32181,"sterol":32182,"Ġdisg":32183,"(DB":32184,"ĠDESCRIPTION":32185,"Ġ_$":32186,"Ġobstacle":32187,"Ġbizarre":32188,"Ġextraction":32189,"_expected":32190,"Ġloses":32191,"ĠCelebr":32192,"ĠhtmlFor":32193,"Ġexploit":32194,"олÑĮзов":32195,"XYZ":32196,"Ġmagnet":32197,"amped":32198,"Ġatoms":32199,"Sources":32200,"pectives":32201,"Ñģли":32202,"Ġ=čĊ":32203,"Ġdare":32204,"ĠWalter":32205,"Ġbrightness":32206,"Ġannotations":32207,"ëı":32208,"iske":32209,"Schedule":32210,".images":32211,"rosso":32212,"Ġ\"..":32213,"gamma":32214,"Ġinstructor":32215,"Ġoverwrite":32216,"-am":32217,"Ġdevastating":32218,"ĠSaints":32219,"Ġhs":32220,"Ġbonuses":32221,"$output":32222,"ijd":32223,"(ActionEvent":32224,"monitor":32225,"Ġmattress":32226,"January":32227,".jp":32228,"Ġcaracter":32229,"Ġimpose":32230,"_rest":32231,"ĠSignature":32232,"Ġcoronavirus":32233,"ãģĬ":32234,"_compare":32235,"Measure":32236,"itated":32237,"elijk":32238,"igos":32239,"esar":32240,"Ġrushed":32241,"metry":32242,"_SEPARATOR":32243,"_WE":32244,"_ATTRIBUTE":32245,"Ġyaml":32246,"Ġspecs":32247,"ĠRah":32248,"pheric":32249,"ĠInvestment":32250,"äll":32251,"Ġappealing":32252,"Ġviewport":32253,"ç©":32254,"ĠmarginLeft":32255,"Ġsubtract":32256,"ĠEDIT":32257,"ĉArrayList":32258,"grading":32259,"ĠFailure":32260,"asper":32261,"EEK":32262,"(now":32263,")Ċ":32279,"Collision":32280,"ĠGreater":32281,"ĠRacing":32282,"alan":32283,"Ġmonetary":32284,",new":32285,"ĠSorry":32286,".Enable":32287,"ĠInstantiate":32288,"ollen":32289,"ë©´":32290,"ĠCalling":32291,"_hour":32292,"ADA":32293,"Ġshy":32294,")**":32295,"Ġ==>":32296,"Ġespecial":32297,"Ġinterpreted":32298,"!=\"":32299,"Ġpharmacy":32300,".single":32301,"ĠCialis":32302,"Ġparas":32303,".toUpperCase":32304,"ĠDemon":32305,"Prime":32306,"Ġrankings":32307,"Adding":32308,"_HASH":32309,"ĠExam":32310,"Ú©":32311,"ĠVictor":32312,"Okay":32313,"\"];čĊ":32314,"Ġfortune":32315,"ĠFETCH":32316,"expand":32317,".Interop":32318,"Ġbarn":32319,"æ¶Ī":32320,"uevo":32321,"Ġspeculation":32322,"âĶĢâĶĢâĶĢâĶĢ":32323,"ĠNu":32324,"ĠBlues":32325,"(fname":32326,"Ġinhabit":32327,"Ġ\\\"%":32328,"CES":32329,"ulario":32330,"_cr":32331,"Ġvalidated":32332,"Ġmidnight":32333,"anking":32334,"Ġincorporate":32335,"Ġpursuit":32336,"EXP":32337,"prime":32338,"Pid":32339,"-US":32340,"ĠNurs":32341,"ĠWheel":32342,"éĺ":32343,"Ġinp":32344,"Ġsupportive":32345,".member":32346,"ĠShot":32347,".CheckBox":32348,"Ġaffirm":32349,"Tor":32350,"FullYear":32351,"Ġconsiderably":32352,"credentials":32353,"_opts":32354,"Roll":32355,"(round":32356,"Ġcoment":32357,"_UART":32358,"Ġextending":32359,"RG":32360,"resultado":32361,"itu":32362,".getSession":32363,"Ġattraction":32364,"&D":32365,"$html":32366,"ĠJessica":32367,"ĠAssociate":32368,"añ":32369,"_ed":32370,"ĠLag":32371,"Ġorigins":32372,"())->":32373,"addEventListener":32374,"IALOG":32375,"åIJ¦":32376,".Compare":32377,"Album":32378,"ĠKu":32379,"\";ĊĊ":32423,"quisite":32424,"channels":32425,"/res":32426,"ĠAnalytics":32427,".appcompat":32428,"/to":32429,"ĠonError":32430,"(attr":32431,"IRM":32432,"Ġragaz":32433,"-as":32434,".Second":32435,"oriented":32436,"Ġdonn":32437,"Ġlightning":32438,"fid":32439,"ĠPle":32440,"ãģ¾ãģĻ":32441,"tro":32442,".True":32443,"Observable":32444,"×Ļ":32445,"umbing":32446,"Ġprospective":32447,"-filter":32448,"Ġpursuant":32449,"(points":32450,".Bind":32451,"Ġpalm":32452,"clearfix":32453,"ös":32454,"ĠGonz":32455,"Ġweaken":32456,"Drive":32457,"enido":32458,"lld":32459,"obox":32460,"anean":32461,"Got":32462,"ä¿Ŀ":32463,"Regex":32464,"æĥ":32465,"Ġsalad":32466,"assis":32467,"\"net":32468,"inheritDoc":32469,"ĠRV":32470,"quier":32471,"Ġclazz":32472,"Ä±ÅŁ":32473,"osterone":32474,"Ġairline":32475,".listdir":32476,"Ġdownloading":32477,"ĠPalm":32478,"waukee":32479,"<":32480,".BL":32481,"_INLINE":32482,"offs":32483,"<<(":32484,"_news":32485,"Ġchase":32486,"/><":32487,"Ġeuros":32488,"ĠEgyptian":32489,"ĠStainless":32490,"_BOOL":32491,"ĠGuild":32492,"ĠDynam":32493,"[indexPath":32494,"Ġï":32495,"Ġmemorable":32496,"ĠChampion":32497,"ResourceManager":32498,".Login":32499,"ĠFormer":32500,"yped":32501,"Ġlleg":32502,";\",":32503,"DWORD":32504,"Ġtaxi":32505,"Ġbombs":32506,"rah":32507,".tags":32508,"_tests":32509,"stones":32510,"âĢĿ)":32511,"[g":32512,"rtype":32513,"Ġvu":32514,"Ġhostile":32515,"Chars":32516,"ĠPatriots":32517,"/status":32518,"());Ċ":32872,"ajÄħ":32873,"_OCC":32874,"Ġplanets":32875,"æŁ¥":32876,"ĠDublin":32877,"Ġserie":32878,".printf":32879,"deep":32880,"`)":32881,"Ġ\\$":32882,"Ġμ":32883,"_VIDEO":32884,"endors":32885,"ĠCrypto":32886,"Far":32887,".Transparent":32888,".TR":32889,"iasm":32890,"_training":32891,"Ġteaches":32892,"ĠBelt":32893,"Ġlimiting":32894,"ĠKath":32895,"ĠIndexPath":32896,"Ġachievements":32897,"Ġserá":32898,"interopRequire":32899,"Ġdisse":32900,".If":32901,"arming":32902,"ulsion":32903,"Po":32904,"_DETAIL":32905,"Prototype":32906,"ĠCAL":32907,"Ġagrees":32908,".vo":32909,".ExecuteNonQuery":32910,"ĠTopic":32911,"Ġ'{}":32912,"Arm":32913,"Ġecc":32914,"Mag":32915,"Ġserialized":32916,"ĉconn":32917,"cached":32918,"=tf":32919,"ĠByteArray":32920,"protobuf":32921,"varchar":32922,"ĉASSERT":32923,"Ġliste":32924,"_trigger":32925,"·¸":32926,"Feel":32927,"Tahoma":32928,"ĠLik":32929,"Ġstructured":32930,"ergus":32931,".Initial":32932,"_ge":32933,"cljs":32934,".contact":32935,"Ġandere":32936,"$stmt":32937,"_CURRENT":32938,"ĠDiscover":32939,"$res":32940,"formatter":32941,"Ha":32942,"vangst":32943,"Ġemerge":32944,"ãĢĤâĢĿ":32945,"ĠCabinet":32946,"-square":32947,"éĥ¨":32948,"Ġrage":32949,"ĠAJ":32950,"ĠVT":32951,"shadow":32952,"ĠFaith":32953,"enames":32954,"pretty":32955,"hasil":32956,"party":32957,"Ġvarchar":32958,"Ġfotos":32959,"Ġalum":32960,"ĠBelgium":32961,".ylabel":32962,"Ġdej":32963,"_numbers":32964,"Ġhu":32965,".setAdapter":32966,"ĠUsually":32967,"(sample":32968,".Shared":32969,"Ġbooked":32970,"Ġ>>=":32971,"Ġminerals":32972,"\">":32991,"prog":32992,"boo":32993,"_md":32994,"_pack":32995,"(express":32996,"utz":32997,"\\Auth":32998,",id":32999,"ĠChile":33000,"actice":33001,"Ġrecruitment":33002,"Ġposes":33003,"Ġvulnerability":33004,"instanc":33005,"orum":33006,"dess":33007,"Ġxl":33008,"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%":33009,"(fig":33010,"Ġdeleting":33011,".del":33012,")')Ċ":33013,"ĠWeekly":33014,"???":33015,"(strcmp":33016,"smith":33017,"Ġpursuing":33018,"-so":33019,"ĠApps":33020,"/'Ċ":33021,"Ġdecis":33022,"FORE":33023,"Everyone":33024,"Ġlanes":33025,"Virtual":33026,".attach":33027,"(Log":33028,"ĠMedicaid":33029,"(Path":33030,"ĠTurner":33031,"/application":33032,"Ġportrait":33033,"Ġoppose":33034,"checkout":33035,"Ġfinishes":33036,"_ME":33037,"Barrier":33038,"Song":33039,"VAR":33040,"Earlier":33041,"rella":33042,"Ġhast":33043,"azar":33044,"Ġpulls":33045,"ngx":33046,"Ġinspiring":33047,"ÑĥÑİ":33048,"-direction":33049,"Ġexplosive":33050,"ĠcreatedAt":33051,"sto":33052,"Ġwheat":33053,"ĠBuilt":33054,"'ai":33055,"Ġtracked":33056,"hammad":33057,"RowAtIndexPath":33058,"_heap":33059,"Due":33060,"Ġconnects":33061,".publish":33062,"emu":33063,"Ġbullets":33064,"BAR":33065,"olate":33066,"Ġinternally":33067,"Ġcatching":33068,"-password":33069,"ouched":33070,"æĢ§":33071,"eous":33072,"Ġxrange":33073,"Quality":33074,"vv":33075,"Manage":33076,"(($":33077,"acements":33078,"ĠBrothers":33079,"ĠHEAD":33080,"ĠUnsupported":33081,"san":33082,"esi":33083,"***Ċ":33084,"Ġadaptation":33085,"ĠWorker":33086,"']/":33087,".savefig":33088,"(trans":33089,"ج":33090,"nee":33091,"Correct":33092,"...\")Ċ":33093,"Ġsubmitting":33094,"-path":33095,"ĉlast":33096,"issan":33097,".xlabel":33098,"ĠSepar":33099,"/no":33100,"_best":33101,"ĠMills":33102,"_sock":33103,"(flag":33104,"Ġdestinations":33105,"emption":33106,"ĠFAIL":33107,"åĴĮ":33108,"Ġrp":33109,"fact":33110,"ĉlen":33111,"DAY":33112,"Ġseiz":33113,"_dst":33114,"lip":33115,".Linear":33116,"ĠBasket":33117,"$t":33118,"$i":33119,"-brand":33120,"ĠNeil":33121,"ĠEq":33122,"Ġthou":33123,"ogene":33124,"Ġscholarship":33125,"æĽ´":33126,"Ġswo":33127,"aginator":33128,"eni":33129,"(book":33130,"Ġblink":33131,"thus":33132,"ĠcancellationToken":33133,"ĠPalestinians":33134,"Ġprofitable":33135,"Ġbackpack":33136,"enson":33137,"true":33284,"ĠNYC":33285,"Ġbored":33286,"ĠDetect":33287,"Ġappar":33288,"Ġjeans":33289,"ĠTak":33290,"IOD":33291,"ĠHorse":33292,"(FILE":33293,"(?":33294,"rique":33295,"optimizer":33296,"nat":33297,"loys":33298,"ĉToken":33299,"oubted":33300,"uess":33301,"ocoa":33302,"DataMember":33303,"_POWER":33304,"classList":33305,"PushButton":33306,"ĠWiFi":33307,".Stream":33308,".guild":33309,"Ġnog":33310,"ĠPortugal":33311,"ĠUnter":33312,"Primitive":33313,"boss":33314,"ĠDeutsch":33315,"Ġerotic":33316,"Ġstrconv":33317,".TryParse":33318,"Ġgrams":33319,".Success":33320,"_pk":33321,"ĠHarvey":33322,"-minded":33323,".country":33324,"[]\"":33325,"Ġangel":33326,"Ġbeats":33327,"ĠVor":33328,"ilio":33329,".master":33330,"something":33331,"ĠPACK":33332,"(if":33333,"RequestBody":33334,"Ġantes":33335,"/widget":33336,"Ġmodo":33337,"ĠAW":33338,"finder":33339,"Ġoptimized":33340,"Ġmissiles":33341,"NB":33342,"ĉinternal":33343,"tex":33344,"ĠSri":33345,"Ġdamaging":33346,"ĠMais":33347,"-Allow":33348,"ĠZh":33349,"-alt":33350,"Ġ));ĊĊ":33351,"èī":33352,"Ġinfluences":33353,"Ġcatal":33354,"_REGISTER":33355,"ĠAPIs":33356,"-century":33357,"Ġbiology":33358,"ĠActual":33359,"Ġheels":33360,"TRACE":33361,"_DIG":33362,"Dataset":33363,"ĠMatter":33364,"Ġclassifier":33365,".wikipedia":33366,"ĠRogers":33367,"Ġdonated":33368,"rawler":33369,"enen":33370,"Ġcasinos":33371,"ortal":33372,"Ġprive":33373,"spe":33374,"ducers":33375,".ep":33376,"Ġgrasp":33377,"acji":33378,"Ġdairy":33379,"Ġbuses":33380,".comm":33381,".ins":33382,"ĠIRS":33383,"ĠBeer":33384,"adc":33385,"oard":33386,"_MET":33387,"Ġ'+'":33388,"rans":33389,"Ġkinda":33390,"ĠâĶĤ":33391,"ĠMaur":33392,"аг":33393,"Ġbandwidth":33394,"ibus":33395,"ĠDifferent":33396,"(mat":33397,"ĠResume":33398,"_UNS":33399,"establish":33400,"Ġfonction":33401,"Subscription":33402,"_company":33403,"Ġlightly":33404,".confirm":33405,".yaml":33406,"ĠBoost":33407,"Commerce":33408,"-template":33409,"_DELAY":33410,"ĠHI":33411,"Ġnavig":33412,"(Sender":33413,"ĠHS":33414,"_\"+":33415,"ĠREQUEST":33416,"Ġwifi":33417,"=\"\"Ċ":33418,"])->":33419,"Ġrope":33420,"Ġviolated":33421,"Ġglance":33422,"ĠKurd":33423,"Ġè®":33424,"deck":33425,"ĠISBN":33426,"Ġinfect":33427,"ĠFoo":33428,"Ġgetter":33429,"Ġtener":33430,"appe":33431,".hh":33432,"_hot":33433,"\".$":33643,"Ġrelies":33644,"(Console":33645,"International":33646,"->{$":33647,"Mid":33648,"Ġdissert":33649,"dds":33650,"Ġdeposits":33651,"ĉdriver":33652,"#ga":33653,"prising":33654,"println":33655,"Ġpresenter":33656,"Ġmines":33657,"CSS":33658,"ĠDual":33659,"(!(":33660,"Ġkam":33661,"ĠisLoading":33662,"ĠProtect":33663,".upper":33664,"arium":33665,"]:ĊĊĊ":33666,"Yii":33667,"-shirt":33668,"ĠIMAGE":33669,"_colors":33670,"Ġurgent":33671,".Container":33672,"!(Ċ":33673,"Saturday":33674,"Ġsocieties":33675,"ĠThan":33676,"ĠCod":33677,"=@":33678,"Ġattachments":33679,".mobile":33680,"Ġspite":33681,"Ġbounce":33682,"rawl":33683,"instancetype":33684,"ĠTruck":33685,"Ġmanipulation":33686,"(Config":33687,"-inst":33688,"Ġstor":33689,"itution":33690,"PreferredGap":33691,"ĠmainAxisAlignment":33692,"Ġlistened":33693,"'''ĊĊ":33694,"ottage":33695,"-project":33696,".APPLICATION":33697,"ĉroot":33698,"Ġwhit":33699,"Ġbilder":33700,"Ġker":33701,"Ġappliances":33702,"rowave":33703,"ìĿĢ":33704,"ematics":33705,"ĠOrg":33706,"oping":33707,"_SEARCH":33708,"Ġcham":33709,"addContainerGap":33710,"Ġ().":33711,"ĠArrow":33712,"Illegal":33713,"Currently":33714,"Ġusa":33715,"Ġpasswords":33716,"Ġrenown":33717,"avern":33718,"ĠEvil":33719,"Ġconcat":33720,"Ġduo":33721,"Ġvale":33722,"ĠBean":33723,"Ġindicators":33724,"cmath":33725,"ĠPump":33726,"November":33727,"ificant":33728,"_DOMAIN":33729,"regar":33730,"ĠPortal":33731,"\"$":33732,"Ġformerly":33733,"\"]:Ċ":33734,"ĠVisibility":33735,".getElementsByClassName":33736,"_RED":33737,"Ġchampions":33738,"à´":33739,"Valor":33740,"_es":33741,"*a":33742,"-repeat":33743,"Band":33744,".stage":33745,"Ġbureauc":33746,"Cnt":33747,"eten":33748,"-function":33749,"Ġmuito":33750,"PID":33751,"_editor":33752,"Ġcrashed":33753,"dead":33754,"kat":33755,"agh":33756,"ĠEXT":33757,"asser":33758,"-small":33759,"Ġrealiz":33760,"(Entity":33761,"ús":33762,"ĠActually":33763,"ĠElite":33764,"Ġhelm":33765,"(nonatomic":33766,"asher":33767,"Community":33768,"alleng":33769,"iry":33770,"ĠGrowth":33771,"Ġsue":33772,"Ġfrequencies":33773,"_descriptor":33774,".Attribute":33775,"Ġrecipients":33776,"_NS":33777,"/\"+":33778,"iban":33779,"Ġathlete":33780,"ĠIgn":33781,"_DMA":33782,"(ds":33783,"ĠRequirements":33784,"ADI":33785,"erez":33786,"\\Admin":33787,"braska":33788,"ĠRust":33789,"Relation":33790,"COD":33791,"ĠVERSION":33792,"emma":33793,")){":33794,".Duration":33795,"ĠCamb":33796,"-logo":33797,"Ġreadable":33798,"Ġcreators":33799,"()];Ċ":33800,"UpDown":33801,"-half":33802,".getMonth":33803,"(sf":33804,"Pic":33805,"Ġhunger":33806,".tx":33807,"Ġexceeded":33808,"_seed":33809,"(^":33810,"_sk":33811,".perform":33812,"Ġ>::":33813,"Ġmongo":33814,"=float":33815,"bindParam":33816,"Smart":33817,"ifa":33818,"Ġsecurities":33819,"Ġprejud":33820,"Ġ,\"":33821,"Ġcorps":33822,"Ġvra":33823,"amacare":33824,"iterr":33825,"(Media":33826,"uche":33827,"Ġcob":33828,"Ġliber":33829,".geometry":33830,"Locator":33831,"Ġsliding":33832,"Ġsurgical":33833,"_CUR":33834,"Ġconsect":33835,"[*":33836,"ĠResort":33837,"Stub":33838,"_DOUBLE":33839,"ĠSoph":33840,"Ġelectoral":33841,"_disable":33842,"ĠÑģо":33843,"ĠLightning":33844,"Ġmentions":33845,"ocy":33846,"Ġleaked":33847,"Ġrelaxing":33848,"Presenter":33849,"vsp":33850,"Ġguilt":33851,"=-=-":33852,".reply":33853,"ĠMirror":33854,"Camp":33855,"Ġ+#+#+#+":33856,"Ġ+#+#+#+#+#+":33857,".Author":33858,"Ġdirective":33859,"-hook":33860,"íĦ°":33861,"}ĊĊĊĊĊ":33862,"@pytest":33863,"_rand":33864,"mis":33865,"Ġcolorful":33866,"uje":33867,"lasses":33868,"ĠClasses":33869,".have":33870,"%),":33871,"é¢ĺ":33872,"Ġdisturbing":33873,"substring":33874,"ĠKoh":33875,"Invest":33876,"purchase":33877,"Ġrecycling":33878,"ĠART":33879,"ierarchy":33880,"Ġfps":33881,".checkBox":33882,"íķ´":33883,"_material":33884,"ducation":33885,"Ġfw":33886,"udit":33887,"Ġreviewing":33888,"ĠSid":33889,"Syntax":33890,"ĠWritten":33891,"argar":33892,"UME":33893,"/q":33894,"Classifier":33895,"Official":33896,"Ġjazz":33897,"Ġomega":33898,"Physics":33899,"Ġlugar":33900,"_accessor":33901,".commands":33902,"Ability":33903,"ĠBatch":33904,"RAM":33905,"Ġencounters":33906,".Qu":33907,"BYTE":33908,"ĠDistribution":33909,"Ġuso":33910,"ĠRecovery":33911,"approved":33912,"Ġdenial":33913,"/share":33914,"LinkedList":33915,")čĊčĊčĊ":33916,"uddy":33917,"Ġfines":33918,"Ġry":33919,"Unicode":33920,"ĉrender":33921,"Ġpremises":33922,"Ġpon":33923,"aliases":33924,"/Foundation":33925,"cuda":33926,"ĠCock":33927,",:)":33928,"(folder":33929,"Ġméd":33930,"drag":33931,"Ġtalents":33932,"ĠĠĠĊĊ":33933,"еÑģÑĤв":33934,"mob":33935,".yml":33936,"Ġaster":33937,"Ġdiscre":33938,"goal":33939,"ĠGTX":33940,"ĠSUCCESS":33941,"ĠLONG":33942,"(find":33943,"Ġsingular":33944,"_sz":33945,"ĠEthereum":33946,"..Ċ":33947,"Ġirres":33948,"')){Ċ":33949,"Ġministers":33950,"Steps":33951,"iversal":33952,"ĠNevertheless":33953,"-led":33954,"Ġ(%)":33955,"ç¡®":33956,"Ġtimezone":33957,"Ġstranger":33958,"(render":33959,"Ġshutil":33960,"Ġmph":33961,"Ġtrio":33962,"ppy":33963,"Ġpredomin":33964,"Ġendors":33965,"ĠRussians":33966,"ĉrow":33967,"Ġwizard":33968,".serialize":33969,"Ġcomplained":33970,"Ġsido":33971,"Ġdelighted":33972,"-me":33973,"ĠRav":33974,"Human":33975,"adays":33976,"recv":33977,"Working":33978,"Jump":33979,"ĠÃ¥r":33980,"ĠAutomatic":33981,"_Base":33982,"æł¼":33983,"aurants":33984,"¯":33985,"æ¸":33986,"(CType":33987,"IFI":33988,"(amount":33989,"Ġbelieving":33990,"=mysql":33991,"Ġfir":33992,"Ġrestoration":33993,"ereco":33994,"Т":33995,"_'+":33996,"Ġebook":33997,"Ġdebris":33998,"(inputs":33999,"AYOUT":34000,"Ġscreaming":34001,"avia":34002,"lander":34003,"Ġdistress":34004,"Ġassembled":34005,"ĠAvoid":34006,"(thread":34007,"ĠRPC":34008,"_EXIT":34009,"(queue":34010,"иÑģÑĤ":34011,"Dll":34012,"Ġskull":34013,"_pub":34014,"chez":34015,"minate":34016,"ensen":34017,"Ġinsane":34018,"bounds":34019,"ĠRosen":34020,"Ġconditioning":34021,"processed":34022,"videos":34023,"four":34024,".Conv":34025,"|;Ċ":34026,"Personal":34027,"cerpt":34028,":UIControlStateNormal":34029,"Ġdoses":34030,"ĠKarl":34031,"ĠFrequ":34032,".BASE":34033,"ĠVote":34034,"Ġconcurrent":34035,"ĠMessageBoxIcon":34036,"ĠÃĸ":34037,"ĠDubai":34038,"ĠRetail":34039,":number":34040,"ĠObserver":34041,"ĠBigInteger":34042,"_origin":34043,"_WORK":34044,"Frames":34045,"Ġnotably":34046,".âĢľ":34047,"Ġtropical":34048,"Ġniche":34049,"amina":34050,".sys":34051,"(tokens":34052,"modify":34053,"osit":34054,"strom":34055,"ĠComics":34056,"OPTION":34057,"Ticket":34058,"Ġfactories":34059,"Ġdisput":34060,"_File":34061,"ĠFinn":34062,"eee":34063,"ĠDiscord":34064,"_money":34065,".tpl":34066,"_safe":34067,"LB":34068,"Ġglut":34069,"JK":34070,".flow":34071,"-cont":34072,"gos":34073,"Ġhorizon":34074,"ĠRush":34075,"::*":34076,"Pipe":34077,"ulla":34078,"borough":34079,"heimer":34080,"(move":34081,"(Text":34082,"});čĊčĊ":34083,"welcome":34084,"ĠComponents":34085,"Ġgovernance":34086,"closed":34087,"ĉmargin":34088,"Ġlaundry":34089,"ĠTerminal":34090,"izards":34091,".âĢĶ":34092,".remote":34093,".radius":34094,"ĠQuebec":34095,"Ġdh":34096,"Tech":34097,"ĠMist":34098,"seller":34099,"_literal":34100,"Ġgenius":34101,"Ġbrains":34102,"gem":34103,"ĠMeasure":34104,"Ġcatast":34105,"rance":34106,".TextField":34107,"Ġconsuming":34108,"Ġ'\\''":34109,"oubtedly":34110,"ĠCertain":34111,"Ev":34112,"erti":34113,"being":34114,"Experience":34115,"Ġ//[":34116,"ĠArabic":34117,"ĠCrist":34118,"ĠAzure":34119,"Ġhora":34120,"ladesh":34121,"\\Blueprint":34122,"dar":34123,".rel":34124,"Ġsuprem":34125,"ĠReagan":34126,"ĠAttributes":34127,"-sidebar":34128,"ĠuseStyles":34129,"ĠAirlines":34130,"Ġhills":34131,"/xhtml":34132,"vinc":34133,"_mock":34134,"ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":34135,"ĠPill":34136,".LayoutStyle":34137,"ĠCommander":34138,"]<":34139,"signature":34140,"Ġ{}čĊ":34141,"Ġhatred":34142,"Ġëĭ":34143,"olesterol":34144,"Ġ********":34145,"ancellor":34146,"crop":34147,"TIM":34148,"ĉĉĊĊ":34149,"ysqli":34150,"uitive":34151,"ĉunset":34152,"_sel":34153,"Ġmenus":34154,"tick":34155,"Ġconstitute":34156,"ĠElements":34157,"ĠRedis":34158,"aggio":34159,"_fp":34160,"_depend":34161,"emas":34162,"CAST":34163,"orange":34164,"jon":34165,"ĠEmily":34166,"Ġpotatoes":34167,"Ġreceptor":34168,"ĠElectronic":34169,"ĠLights":34170,"Ġcombining":34171,"ĠSomeone":34172,"Ġ########.":34173,"ĠTOD":34174,"/show":34175,"Xd":34176,".\"'":34177,"afx":34178,"Ġtragic":34179,"Styled":34180,"ĠMarco":34181,"Gallery":34182,"dale":34183,".âĢĿĊĊĊĊ":34184,"érie":34185,"/service":34186,"äºĨ":34187,"Ġambient":34188,"_SETTINGS":34189,".Adapter":34190,"lene":34191,"Ġtravels":34192,"Notice":34193,"Ġcleans":34194,"ĠFem":34195,"chair":34196,"Ñĥн":34197,"/my":34198,"_bad":34199,"ĠEconomics":34200,"ISA":34201,"_CNT":34202,"(Menu":34203,"äºİ":34204,"ĠRidge":34205,"Ġlengthy":34206,"Dot":34207,"Ġjumps":34208,"Ġhey":34209,"$pdf":34210,"Ġworm":34211,"Ġsut":34212,"Ġsher":34213,"iamo":34214,"ĠCalc":34215,"trieve":34216,"Ġcops":34217,"ĠChrom":34218,"Ġregulated":34219,"reatment":34220,"ĠHigher":34221,"oks":34222,"Ġdeze":34223,"LOCATION":34224,"ongsTo":34225,"Ġfinite":34226,"Ġvaries":34227,"Ġpositioned":34228,"'il":34229,"éĩij":34230,"Ġhike":34231,"(done":34232,"playlist":34233,"Ġada":34234,"Ġcoastal":34235,"ĠNancy":34236,".DateTimeField":34237,"CppCodeGen":34238,"ĠSimilarly":34239,"reur":34240,"ĠContr":34241,"ĠHidden":34242,"ĠBeta":34243,"atched":34244,"_install":34245,".Output":34246,"Lookup":34247,"ĠRichmond":34248,"quared":34249,"Ġmanga":34250,"-controls":34251,"ĠBernard":34252,"Large":34253,"Ġslices":34254,"Ġoffence":34255,"ĠMega":34256,"Ġestar":34257,"Ġjoints":34258,"Ġsumm":34259,"_platform":34260,"Buff":34261,".addSubview":34262,"Ġretained":34263,"Letter":34264,".dim":34265,"Ġessere":34266,"ĠScaffold":34267,"EXPECT":34268,"ĉRE":34269,".longitude":34270,"ünd":34271,"Ġstatue":34272,".addWidget":34273,"ĠCaribbean":34274,"addPreferredGap":34275,"ilde":34276,"UILabel":34277,"ĠOpport":34278,"Ġimperial":34279,"ursion":34280,"Ġmandate":34281,"Ġpromotional":34282,"Ġvk":34283,"iaÅĤ":34284,"Ġpyl":34285,"ĠCreation":34286,"озд":34287,"Ġsimpler":34288,".what":34289,"ĠRecent":34290,"Storm":34291,".quantity":34292,"ĠLov":34293,"\"-":34294,"ubbles":34295,"_notification":34296,"(world":34297,"urger":34298,"*(-":34299,":\"Ċ":34300,"hm":34301,"anship":34302,"ĠAlmost":34303,"Ġmotorcycle":34304,"_fee":34305,"Ġabsorb":34306,"ĠVincent":34307,"Ġsounded":34308,"ÃŃst":34309,"Ġpharmaceutical":34310,"htag":34311,"ĠKindle":34312,"italize":34313,"ĠEmperor":34314,"oustic":34315,"Ġspecialists":34316,"åħ¬":34317,"BorderStyle":34318,"/\\":34319,"RELATED":34320,"(',',":34321,"(expr":34322,"Ġht":34323,"åįĪ":34324,"_Create":34325,"Ġspecially":34326,"Ġ[];čĊ":34327,"Ġheel":34328,"Ġsept":34329,"_arch":34330,"(initial":34331,"%.ĊĊ":34332,"\\\",\\\"":34333,"Ġdiscusses":34334,"Ġupt":34335,"Ġ[&":34336,"Ġmanus":34337,".hand":34338,"ĠMAIN":34339,"ĠDenmark":34340,"Ġ],čĊ":34341,"Ġcryst":34342,"Ġnack":34343,"Coords":34344,"_inner":34345,"Ġmidst":34346,"Ġawake":34347,"ĠÐŀ":34348,"-break":34349,"ÃŃvel":34350,"_PASS":34351,"ĠParams":34352,"Ġdetr":34353,"Ġspider":34354,"ĠConcept":34355,"Ġprend":34356,"CHED":34357,".Exit":34358,"Ġpopulated":34359,"Ġvirtue":34360,"_SESSION":34361,"Ġnouvel":34362,"oauth":34363,"ĠданнÑĭ":34364,"rink":34365,".HeaderText":34366,"aturated":34367,"Ġerst":34368,"Ġåħ":34369,"à¥ĩ":34370,"_visible":34371,"eyer":34372,"Ġliable":34373,"Ġdebe":34374,"Ġbw":34375,"{-#":34376,"_WIN":34377,"dfs":34378,"Hover":34379,"ĠPUT":34380,"-angle":34381,"Ġnoble":34382,"Ġtraces":34383,"encv":34384,"ĠuserData":34385,"_ins":34386,"ĠSuz":34387,"Ġnewsletters":34388,"ĠModi":34389,"Ġentrepreneurs":34390,"Ġtribute":34391,"Ġrumors":34392,"Ġrr":34393,"ĠQuarter":34394,"ê³ł":34395,"Ġfeeds":34396,"óg":34397,"Ġenvelope":34398,"Ġlear":34399,"Ġkø":34400,"developer":34401,"Similar":34402,":\")Ċ":34403,"subscription":34404,"Modifier":34405,"italic":34406,"Ġnasty":34407,"Ġtermination":34408,"Ġcharming":34409,"ĠâŁ":34410,"tons":34411,".trace":34412,"hots":34413,"ĠUR":34414,"Mont":34415,"Ġjustified":34416,"ĠGang":34417,"inea":34418,"Ġbog":34419,"(ap":34420,"_$":34421,"Ġcontamin":34422,".Dot":34423,"ĉDebug":34424,"(exports":34425,"Ġpaired":34426,"ĠAssignment":34427,"Ġautomobile":34428,"ĵį":34429,"Ġphases":34430,"vw":34431,"@SuppressWarnings":34432,"=\\":34433,"rant":34434,"-ed":34435,"ĉawait":34436,"Ġcertificates":34437,"'>\"":34438,"Ġintact":34439,"CTRL":34440,"Mike":34441,"gregation":34442,"ATTERN":34443,"Ġrepublic":34444,"_upper":34445,"iliary":34446,"Ġcomputation":34447,"hire":34448,"ĠShin":34449,"_ANY":34450,"ĠManufacturer":34451,"ĠCarm":34452,"Ġbearings":34453,"_comb":34454,"cad":34455,"uristic":34456,"Ġwholesale":34457,"Ġdonor":34458,".interfaces":34459,"presso":34460,"ĠBrun":34461,"-close":34462,"prove":34463,"_SK":34464,"ĉframe":34465,"etros":34466,"ĠPain":34467,"_EXP":34468,"ĠLT":34469,"_fs":34470,".datas":34471,"ĉss":34472,"voir":34473,"ĠAxis":34474,"Major":34475,"=\"<":34476,"[h":34477,"Ġprofess":34478,"igrate":34479,"(score":34480,"Keyword":34481,"\"os":34482,"ĠĠĠĠĉĊ":34483,"analysis":34484,"Ġreplay":34485,".pass":34486,"\\d":34487,"tls":34488,"Ġsanct":34489,".light":34490,"_mobile":34491,"ÑģÑĤÑĮ":34492,"ĉtotal":34493,"uity":34494,"Ġpaused":34495,"NAS":34496,"Ġencore":34497,"loe":34498,"Ġ-*-ĊĊ":34499,".high":34500,"ampler":34501,"ĠSecure":34502,"Ġfragments":34503,"_vel":34504,"illary":34505,"ĠStein":34506,"ĠDawn":34507,"Ġmaximize":34508,"ย":34509,"Ġ/^":34510,"Ġcontinually":34511,"Ġshadows":34512,"ĉĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":34513,"ĠIActionResult":34514,"Ġinformación":34515,"CHECK":34516,".SelectedItem":34517,"bundle":34518,"olley":34519,"<":34681,"Ġtrajectory":34682,"_ring":34683,"Ġhydrogen":34684,"tron":34685,"Ġstatute":34686,"Ġconditional":34687,"Ġtray":34688,"-school":34689,"(widget":34690,"$config":34691,"Ġrequesting":34692,".uint":34693,"eton":34694,"brities":34695,"OfType":34696,"ADMIN":34697,"predict":34698,"Ġgegen":34699,"ĠHapp":34700,"OCUMENT":34701,"ĠApart":34702,"Ġ-----":34703,"roe":34704,"uide":34705,"justify":34706,"ĠSquad":34707,"Ġprofes":34708,".bot":34709,"_currency":34710,"innen":34711,"ĠMumbai":34712,"ĠNumbers":34713,"avanaugh":34714,"agnitude":34715,"âĢľThere":34716,"=http":34717,"çīĩ":34718,"Ġvb":34719,"+'{{$":34802,"Ġinode":34803,"sil":34804,"Ġhace":34805,"Ġseverely":34806,"ĠOverview":34807,"Ġspraw":34808,"Ġbeaches":34809,":left":34810,"·»":34811,"(${":34812,"ĠFIRST":34813,"ĠSpa":34814,"-ass":34815,"Ġbaise":34816,"ĠNODE":34817,"ĠPizza":34818,"Pet":34819,"(seq":34820,"\\\">Ċ":34821,"CppMethodPointer":34822,"Ġvp":34823,"Ġia":34824,"_seconds":34825,"emet":34826,"/blob":34827,"_THRESH":34828,"...čĊ":34829,"Dest":34830,"ĠNH":34831,".dataSource":34832,"ités":34833,"ĠJak":34834,"sell":34835,"Ġworkshops":34836,"\",Ċ":35452,"_Pin":35453,"uese":35454,"Ġoverrides":35455,"_ready":35456,"Advanced":35457,"Ġopi":35458,"-cart":35459,"(\"/\",":35460,"ĠDeb":35461,"CRY":35462,"ĠVertical":35463,"ĠOVER":35464,"ĠCorporate":35465,"Ġ\"\";":35466,"Ġstepping":35467,"ej":35468,"Ġaccusations":35469,"Ġoraz":35470,"_tail":35471,"Ġinduced":35472,"Ġelastic":35473,"Ġblown":35474,",//":35475,"Ġbackgrounds":35476,"âĢĻune":35477,"-sdk":35478,"ĠsetInterval":35479,"Ġincentives":35480,"Ġvegetable":35481,"_On":35482,"expanded":35483,"pix":35484,"_shader":35485,"ĠSPDX":35486,"@example":35487,"ĠWrapper":35488,".Zero":35489,"Positive":35490,"Ġspinner":35491,"Ġinvented":35492,"ĠGates":35493,"оÑĤоÑĢ":35494,"Ġcomparisons":35495,"è·":35496,".primary":35497,"dataProvider":35498,"additional":35499,"ĉoptions":35500,"snapshot":35501,".setHorizontal":35502,"Ġ\"{}":35503,"ĠFisher":35504,"halten":35505,"":35538,"ĠRegistered":35539,"INED":35540,"kal":35541,"parison":35542,"Ġobjeto":35543,"Vi":35544,"manda":35545,"Ġrenewed":35546,"ĠSof":35547,"essel":35548,".ndarray":35549,"Ġcrap":35550,"管":35551,".abspath":35552,"(up":35553,"Ġclearance":35554,"ĠTW":35555,"_COPY":35556,"ĠĠĠĠĠĠĠĠĠĠĠĠĉ":35557,"Ġforests":35558,"Ġarguably":35559,"ĠASS":35560,"hey":35561,"amel":35562,"_fore":35563,"ĠSoutheast":35564,"Ġabused":35565,"Ġpracticing":35566,"akedirs":35567,"主":35568,"_resources":35569,"Ġpond":35570,".Fixed":35571,"LastError":35572,"ĠPsychology":35573,"Ġ\"//":35574,"!:":35575,"Reusable":35576,"Ġmensaje":35577,"Ġrospy":35578,"Ġbour":35579,"Ġvarieties":35580,"Ġempath":35581,"(({":35582,"_org":35583,"ĠMes":35584,"ĠMagento":35585,"ISTORY":35586,"Unless":35587,"Ġhj":35588,"ĠDuty":35589,"Jun":35590,",size":35591,"Ġpaintings":35592,"Ġdispens":35593,"dart":35594,"Ġbehavioral":35595,"Ġrpc":35596,"calculate":35597,"fruit":35598,"_mm":35599,"ĉpthread":35600,"MaxLength":35601,"Ġcurrencies":35602,"_capacity":35603,"ĠOz":35604,"Ġfirearm":35605,"Ġcoefficient":35606,"Ġbankruptcy":35607,"wart":35608,"Ġfatigue":35609,"AVA":35610,"Ġespa":35611,"_pc":35612,"ĠQuotes":35613,"_LIGHT":35614,"ĠTickets":35615,"Ġrelates":35616,"Ġpublishers":35617,"Ġunlocked":35618,"Ġ//----------------------------------------------------------------":35619,"ĠInterruptedException":35620,"Ġoutlook":35621,"rn":35622,"Ġrebels":35623,"Written":35624,"Ġasian":35625,"otto":35626,"Ġĉĉĉĉ":35627,"_gpu":35628,"Txt":35629,".ImageView":35630,"Ġsuis":35631,"_tables":35632,".RecyclerView":35633,"Ġwhatsoever":35634,"èģ":35635,"]++;Ċ":35636,"assertTrue":35637,"_verify":35638,"ĠRivers":35639,"Ġ][":35640,"Jet":35641,"idian":35642,"Sibling":35643,"Ġgenres":35644,".Access":35645,"OPS":35646,"Ġtrivial":35647,"ส":35648,"alen":35649,"вед":35650,"ĠSword":35651,"Ġscrutiny":35652,"(cb":35653,"Ġcommerce":35654,"Ġguarantees":35655,"_adv":35656,"ĠLET":35657,"recio":35658,"Ġhilar":35659,"Ġbackyard":35660,"ãĢı":35661,"Ġillustrated":35662,"/vendor":35663,".Util":35664,"Ġwow":35665,"LOY":35666,"ĠMarshal":35667,"\">'.$":35668,"ĠBak":35669,"Ġmodifiers":35670,"dictionary":35671,"ĠStre":35672,"multiple":35673,"\")),":35674,"ĠCort":35675,"']\").":35676,"(admin":35677,"ĠCreator":35678,"Internet":35679,"(ms":35680,"logy":35681,"DECLARE":35682,"ĠMarcus":35683,"<<<<":35684,"ãģł":35685,"_my":35686,"(inst":35687,"Ġsciences":35688,"NDER":35689,".enter":35690,"Ġitu":35691,"Ġbehave":35692,"Pan":35693,"ombies":35694,"='<":35695,"'));čĊ":35696,"ĠMENU":35697,"ĠWorkers":35698,".NoError":35699,"Ġbindings":35700,"Ġdisabilities":35701,"{\\":35702,"ĠMunicip":35703,"Ġcores":35704,"urple":35705,"ĠNokia":35706,"usions":35707,"ĠFitness":35708,".handleChange":35709,"Ġjavascript":35710,"ìļĶ":35711,"(dec":35712,"Ġpacking":35713,"-depend":35714,"Ġtranscript":35715,"zeros":35716,"_alert":35717,"?\",Ċ":35718,"libs":35719,"±Ð¾ÑĤ":35720,"Ġ|ĊĊ":35721,"trained":35722,"ĠGent":35723,"ĠRab":35724,"xp":35725,"_configuration":35726,"天":35727,"_accept":35728,".recyclerview":35729,":url":35730,"ĠMuhammad":35731,"Ġprivileges":35732,"_bank":35733,"uku":35734,"wallet":35735,"ĠROOT":35736,"Ġencuent":35737,"?family":35738,"ĉposition":35739,"Ġcg":35740,"Ġprecip":35741,"methods":35742,"_fast":35743,"increment":35744,"ĠTiger":35745,"_OCCURRED":35746,"quip":35747,"ĠHAS":35748,"_dom":35749,"Ġwreck":35750,"bj":35751,"Ġdern":35752,"Ġorgans":35753,".entries":35754,"Ġ_('":35755,"ramento":35756,"ĠJamie":35757,"Ġpunk":35758,"IPP":35759,"Ġprograma":35760,"Ġattain":35761,"Ġproves":35762,"/sign":35763,"Ġanswering":35764,"Ġladder":35765,"****************************":35766,"ĠWalmart":35767,"ĠCONTENT":35768,"ductor":35769,"Ġverbal":35770,"ĠPID":35771,"crypto":35772,"_CALLBACK":35773,"Ġ=================================":35774,"Ġpotent":35775,"Ġshorts":35776,".Uri":35777,".uniform":35778,";border":35779,"ĠWer":35780,"Ġherein":35781,"lla":35782,"ĠIhr":35783,"Pixmap":35784,"literal":35785,"!)ĊĊ":35786,"generic":35787,"rust":35788,"_scripts":35789,"osto":35790,"itus":35791,"ĠCoalition":35792,"Ġremot":35793,"deploy":35794,"ĠEagle":35795,"ãĢģãĢĮ":35796,"Ġimportante":35797,"ĉobject":35798,"Ġseasonal":35799,"nej":35800,"aidu":35801,"BindView":35802,"ĠSierra":35803,"-bg":35804,"ĠmakeStyles":35805,"[offset":35806,"Games":35807,"Ġhormone":35808,"ARIO":35809,"heads":35810,"(select":35811,"ĠStarted":35812,"@param":35813,"_decl":35814,"_blog":35815,"Ġaño":35816,"\\Api":35817,"ĠMilwaukee":35818,"Provid":35819,"Animated":35820,"Ġcooler":35821,"ĠSeed":35822,".Edit":35823,"ÏĦ":35824,"ĠTaking":35825,"ĠborderColor":35826,"-founder":35827,".LoggerFactory":35828,"Ġ\"\"ĊĊ":35829,"ALT":35830,"ĠLate":35831,"EDIATE":35832,"Ġ);ĊĊĊ":35833,"afa":35834,"Ġcancellation":35835,"Atom":35836,"ĠBirmingham":35837,"empresa":35838,"HEMA":35839,"ascal":35840,"Ġupside":35841,".Version":35842,"ĠFolder":35843,"ĠEight":35844,"ĠVintage":35845,"ĠAppDelegate":35846,"ĠPrevention":35847,".separator":35848,"STM":35849,"(room":35850,"generator":35851,"Ġcattle":35852,"ĉZ":35853,"ĠParticle":35854,"'};Ċ":35855,"Ġneighbours":35856,"ĠStateless":35857,"Ġaltitude":35858,"Ġsaint":35859,"обав":35860,"Ġconvinc":35861,"ĠContents":35862,"Ġjeune":35863,"(ts":35864,"Serialization":35865,"(collection":35866,"ĠJazz":35867,"ĠDod":35868,"ĠRoch":35869,"acio":35870,"commended":35871,"DEFINE":35872,".onload":35873,"Ġspecialty":35874,"PLACE":35875,"_MOVE":35876,"Ġaccountable":35877,"Reuters":35878,"Ġficken":35879,"Ġdepr":35880,"Wow":35881,"Void":35882,".space":35883,"à¸Ĺ":35884,"Ġtq":35885,"ĠPets":35886,"<$":35887,"(Current":35888,"berries":35889,"planation":35890,"ĠlistOf":35891,"ĠThu":35892,"ĠPRINT":35893,"Ġmismo":35894,"Ġdoi":35895,"chk":35896,"ĠUnicode":35897,"(role":35898,"Ġvirgin":35899,"-->Ċ":36360,"Vol":36361,"ĠSSD":36362,"))),":36363,".Optional":36364,"Ġnurses":36365,"Ġorb":36366,"_pe":36367,");čĊčĊčĊ":36368,"placed":36369,"esser":36370,"Ġtherapeutic":36371,"Ġwhitespace":36372,"Ġaston":36373,"Successful":36374,"Ġpraised":36375,"ĠWes":36376,"Ġeighth":36377,"iral":36378,"Ġvrouw":36379,"Ġfaction":36380,"_bias":36381,"Ġwitch":36382,"Ġnpc":36383,"(sb":36384,"ĠRodrig":36385,"_big":36386,"Dependency":36387,"ĠAbraham":36388,"ardi":36389,"CAR":36390,"nos":36391,"Ġabundance":36392,"Ġnutrients":36393,"instein":36394,".Vert":36395,"ĠISS":36396,"D":36495,"Ġservlet":36496,"bastian":36497,"Ġ>&":36498,"SID":36499,"_clk":36500,"Ġdivisions":36501,"}',Ċ":36502,"Ġdildo":36503,"Ġparade":36504,"major":36505,"Ġaboard":36506,";++":36507,"Ġfusion":36508,"\"},{\"":36509,"ĠDialogResult":36510,"ĉarr":36511,"-em":36512,"_nr":36513,"(handler":36514,".NET":36515,".XtraReports":36516,"ĠShah":36517,"ĠBrief":36518,"-,":36519,"Ġprecio":36520,"ĉĉĉĠĠĠĠĠĠ":36521,"Ġtant":36522,"ĠGrande":36523,"/xml":36524,"_ICON":36525,"ĠRetro":36526,"unque":36527,"Ġnag":36528,"toFixed":36529,"XL":36530,"Ġdeclaring":36531,"ĠConcrete":36532,"ĠAmazing":36533,"ĉprintk":36534,"Ġdebates":36535,"DATED":36536,"Ġaesthetic":36537,"emetery":36538,"RoutingModule":36539,"ĠNashville":36540,"WAYS":36541,"Ġwolf":36542,"Ġobservers":36543,"OTA":36544,"anson":36545,"Ġea":36546,"Ġgreenhouse":36547,"ĵįä½ľ":36548,"Ġstair":36549,"Ġimmigrant":36550,"_apply":36551,"peare":36552,"ĠBloomberg":36553,"_PLAYER":36554,"Resp":36555,"æŃ£":36556,"Chooser":36557,"ĠICollection":36558,"Peter":36559,"Erro":36560,".detectChanges":36561,"Maps":36562,"Ġsqueeze":36563,"ĠHomes":36564,"wegian":36565,"Ġformatting":36566,"Ġnegotiate":36567,"uld":36568,"ĠNep":36569,"ĠQB":36570,"Ġeconomies":36571,"Ġ*/,":36572,"Ġredund":36573,"ĠAber":36574,".IsNullOrWhiteSpace":36575,"ycled":36576,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":36577,"_Sh":36578,"Ġskept":36579,"Ġrecreated":36580,"ĠgetType":36581,"Ġmargins":36582,"Ġcolonial":36583,"charts":36584,"//@":36585,"Ġprocessors":36586,"说":36587,"batis":36588,"æĦı":36589,"atorio":36590,"mentioned":36591,"Patient":36592,"Ġprey":36593,"Checkbox":36594,"_xpath":36595,".skip":36596,"ĠMormon":36597,"ĠMemoryStream":36598,"CREMENT":36599,"Ġku":36600,"meld":36601,"\\Data":36602,"ĠKernel":36603,"iltr":36604,"éĢģ":36605,"(profile":36606,"Carbon":36607,"ROLE":36608,"(pl":36609,"]*(":36610,".memory":36611,"Ġmedal":36612,"Ġadvisor":36613,"ität":36614,"Ġhdr":36615,"ierung":36616,"ĠProvides":36617,"(alpha":36618,"Ġteenagers":36619,"-parser":36620,".LatLng":36621,"]()Ċ":36622,"Ġfelony":36623,"ĉĉĉĊĉĉĉĊ":36624,"BOOK":36625,"Ġslash":36626,"Ġclearfix":36627,"ĠProphet":36628,"容":36629,"rightness":36630,"-fi":36631,".kind":36632,"erton":36633,"Jim":36634,"Ġmanipulate":36635,"Ġworksheet":36636,"olin":36637,"stars":36638,"Ġartifact":36639,"_EMPTY":36640,"ĉmain":36641,"-------------';":36709,"Ġexpressing":36710,"ĠIQ":36711,"ĠFact":36712,"/*******************************************************************************Ċ":36713,"_mass":36714,")):":36715,"Ġcondom":36716,"ĠcreateState":36717,"ometown":36718,"Ġirr":36719,"Ġ>(":36720,">B":36721,"iteration":36722,"ãĥª":36723,"Ġshirts":36724,"ounty":36725,"->$":36726,"_SIGN":36727,"ĠDale":36728,"Ġjj":36729,"Easy":36730,"Fre":36731,"ĠNy":36732,"Ġchlor":36733,"matched":36734,"ĠGerm":36735,"-UA":36736,"ĠNathan":36737,"education":36738,"-yard":36739,"-che":36740,"houses":36741,"ritional":36742,"Ġproximity":36743,"Ġdiesem":36744,"áºŃp":36745,"Ġdrought":36746,".audio":36747,"ĠLeo":36748,"Ġfavorable":36749,"inch":36750,"ĠDaw":36751,"ribly":36752,"_student":36753,"idable":36754,"OVE":36755,"Ġlacks":36756,"ouncing":36757,".business":36758,"Ġreopen":36759,"maybe":36760,"_GLOBAL":36761,"Ġdresses":36762,"ĠEdwards":36763,"ensible":36764,"ĠHardware":36765,"ĠExcellent":36766,"ĠTimeUnit":36767,"CTIONS":36768,"Ġschedules":36769,"Ġsegue":36770,"Opens":36771,"ammen":36772,"-Identifier":36773,"Ġstaring":36774,"Ġhappily":36775,"ĠHob":36776,"'_":36777,"Ġ\");":36778,"amentos":36779,"etched":36780,"Ġ/>}Ċ":36781,".Users":36782,"Ġinterrupted":36783,"Contacts":36784,"Ġregistro":36785,"inburgh":36786,"CHA":36787,"_imp":36788,"phis":36789,"say":36790,"Ġretailer":36791,".NODE":36792,"/maps":36793,"_LAST":36794,"ĠCharge":36795,"_guard":36796,"Collider":36797,"ĠStatelessWidget":36798,"\":[\"":36799,"(\"../../":36800,"ioxide":36801,"ĠSund":36802,"Ġ'';":36803,"unset":36804,"addWidget":36805,"лÑİ":36806,"elles":36807,"alker":36808,"Arc":36809,"Ġdeduct":36810,"GUILayout":36811,"ĠVilla":36812,"Ġforbidden":36813,"_where":36814,"Ġ\\/":36815,"ĠTib":36816,"_AX":36817,"]čĊčĊ":36818,"ĠBir":36819,"Ġbend":36820,"ĠMAKE":36821,"ĠMET":36822,"Ġfutures":36823,"Ġweighted":36824,"\"\"\"čĊ":36825,"Ġauthorize":36826,"(program":36827,"},{\"":36828,"Ġcoefficients":36829,"ês":36830,"PerPage":36831,"ĠBathroom":36832,"ĠPublishing":36833,"GPL":36834,"Ġsubmissions":36835,"ĠNUMBER":36836,"jÄħ":36837,"Ġadditionally":36838,"empre":36839,"ĠShel":36840,"otyp":36841,"Solution":36842,"Ġthunder":36843,"_ec":36844,"ĠĊĠĠĠĠĊ":36845,"ĠFellow":36846,"Ġkay":36847,"ĠnewState":36848,"ONTAL":36849,"Implementation":36850,".Look":36851,"Ġents":36852,"Ġlors":36853,"ĠBIG":36854,"fab":36855,"Ġaveraged":36856,"ĠFeedback":36857,"ĠWells":36858,"Ġmartial":36859,"Ġindul":36860,"ĠCommunist":36861,"ĠForex":36862,"ĠAgriculture":36863,"\"[":36864,"Ġquar":36865,"ĠKont":36866,"ĉview":36867,".Bytes":36868,"desktop":36869,"ĠMakes":36870,"akespeare":36871,".Nullable":36872,"Ġspotlight":36873,"VB":36874,"owy":36875,"(torch":36876,"tridge":36877,"_bounds":36878,"Ġapologize":36879,".addItem":36880,"antd":36881,"*);Ċ":36882,",u":36883,"(gen":36884,"ç»ĵ":36885,"reator":36886,"ĠCord":36887,"oupper":36888,".metro":36889,"Ġew":36890,"ĠWORD":36891,".After":36892,"Ġdetained":36893,"ĠHammer":36894,"existing":36895,"Ġost":36896,"Ġmonument":36897,"-custom":36898,"UserID":36899,"ĠNom":36900,"Ġrejection":36901,"(dim":36902,"Ġsingleton":36903,"ĉdie":36904,"ariance":36905,"reports":36906,"]!=":36907,"elda":36908,"Ġprevalence":36909,"_regs":36910,".\".":36911,"Ġfeminist":36912,"Codec":36913,"Ġ**Ċ":36914,"(labels":36915,"_MARK":36916,"FAILED":36917,"Ġadministered":36918,"WN":36919,"ĠĠĠĠĠĠĠĠĉĉ":36920,"Ġnoun":36921,"wig":36922,"Ġgotta":36923,"Ġrif":36924,"-im":36925,"ĠPaulo":36926,"ĠCommandType":36927,"]))ĊĊ":36928,"-zero":36929,"Training":36930,"Ġlord":36931,"_art":36932,"reddit":36933,"Cert":36934,"Ġpeso":36935,"Rot":36936,"Ġendanger":36937,".dr":36938,"userInfo":36939,"unts":36940,"nv":36941,"ĠTrailer":36942,"-first":36943,"(make":36944,"Ġbenefici":36945,"-black":36946,"iÃŁ":36947,"Ġundoubtedly":36948,"Ġmex":36949,"ĠAncient":36950,"(as":36951,"Ġdescent":36952,"Pick":36953,"Ġreplica":36954,"$obj":36955,"ähr":36956,"Ġarrows":36957,"fty":36958,"ĠLibya":36959,"uga":36960,"charged":36961,"Tur":36962,"Ġhomic":36963,"issen":36964,"ĠFake":36965,"Ġbeers":36966,"Ġscattered":36967,"(Time":36968,"UTIL":36969,"Ġbureaucr":36970,"/plain":36971,"Ġsticking":36972,"FAIL":36973,"ĠCovid":36974,"Third":36975,"_present":36976,"ĠPierre":36977,"Ġëª":36978,"Ġ[...]ĊĊ":36979,"Prob":36980,"ĠTraffic":36981,"icao":36982,"doctor":36983,"Ġ),ĊĊ":36984,"Tabs":36985,"alu":36986,"ï¼ļâĢľ":36987,"Ġinherent":36988,"_No":36989,"ritis":36990,"ĠProof":36991,".basename":36992,"ä¼ļ":36993,"Ġchim":36994,"ĠProtected":36995,"crit":36996,"Ġprone":36997,"Ġкон":36998,"ĠHeroes":36999,"Ġanxious":37000,"Ġanos":37001,"Ġweekends":37002,"Ġsext":37003,"Ġreducer":37004,"=UTF":37005,"half":37006,"ĠSaw":37007,".mm":37008,"Ġnueva":37009,".currentTarget":37010,".lua":37011,"_EXTENSION":37012,"ĉreg":37013,"ĠCtrl":37014,"_align":37015,"acceptable":37016,"Ġrushing":37017,"frac":37018,"Ġboasts":37019,"Five":37020,"±":37021,"ĠTemperature":37022,">):":37023,"Ġcharter":37024,"REATED":37025,"Ġsubjected":37026,"Ġopc":37027,"healthy":37028,"使çĶ¨":37029,"ĠScientific":37030,"Ġfrau":37031,"riages":37032,"à¸Ķ":37033,".inventory":37034,"ationale":37035,"Mad":37036,"minutes":37037,">>();Ċ":37038,"ĠEnv":37039,"Ġrecordings":37040,"Ġsuspicion":37041,"sqlite":37042,"ĉread":37043,"ãģ¦":37044,"Ġworries":37045,".putString":37046,"ĠShanghai":37047,"(uid":37048,"rer":37049,"ĠvÃŃde":37050,"\"):":37051,"Ġmethodology":37052,"ĠкоÑĤоÑĢ":37053,"ccc":37054,"avad":37055,"Ġinduction":37056,"ĉThread":37057,",string":37058,"ại":37059,"nehmen":37060,"uition":37061,"Ġ*__":37062,".emf":37063,"Ġìľ":37064,"/themes":37065,"ĠNine":37066,".One":37067,"ĠEmbed":37068,"Ġfaz":37069,"uations":37070,"Ġprivately":37071,"Ġling":37072,"[F":37073,"ushi":37074,"Ġlaunches":37075,"(KEY":37076,"GMT":37077,"Ġaiming":37078,"patible":37079,"ĠBiden":37080,"iw":37081,"ĠDegree":37082,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":37083,"Ġ$('<":37084,"ários":37085,"toUpperCase":37086,"ìłľ":37087,"ĠEUR":37088,"Ġoversight":37089,"Ġtablesp":37090,"Updates":37091,".makedirs":37092,"Ġhumidity":37093,"/template":37094,"Always":37095,"(IS":37096,"_cert":37097,"Dig":37098,"Ġunderway":37099,"orton":37100,"ĠHurricane":37101,"Ġspends":37102,"ĠSegment":37103,"Ġflies":37104,"ĠToggle":37105,"ĠLynch":37106,"Ġsenses":37107,"ĠKos":37108,"setEnabled":37109,"istically":37110,"Ġtester":37111,"Ġadministrators":37112,"Ġtagged":37113,"Ðĵ":37114,"Ġshortcut":37115,"ĠResolution":37116,"Ġsupervision":37117,"ĠAshley":37118,"Tracking":37119,"ulatory":37120,"andel":37121,"isten":37122,"Ġunre":37123,"(diff":37124,"ANTS":37125,"Ġrider":37126,"ĠsÄħ":37127,".Series":37128,"_orders":37129,"ORIZONTAL":37130,"Ġretention":37131,"ãĢĤčĊčĊ":37235,"Ġdiagonal":37236,"ĠCancellationToken":37237,"_Internal":37238,"Ġruin":37239,".Qt":37240,"ocratic":37241,"Tel":37242,"ĠAnswers":37243,"matic":37244,"Ġxp":37245,"atem":37246,"_jobs":37247,"_any":37248,"Ġseniors":37249,"Ġlandmark":37250,"ĠQList":37251,"Ġmaneu":37252,"otify":37253,"/\";Ċ":37254,"/server":37255,"ĠPhilosoph":37256,"utenant":37257,"(io":37258,"hz":37259,"Ġauthenticated":37260,"dv":37261,"-Compatible":37262,"Originally":37263,",function":37264,"ãĢĤčĊ":37265,"ĠRepresentative":37266,"asily":37267,"ircuit":37268,".dt":37269,"(math":37270,".Marshal":37271,"[,":37272,"ĠCities":37273,"_turn":37274,"|)Ċ":37275,"Ġcantidad":37276,"alter":37277,"ĉui":37278,"ĠNebraska":37279,"Ġskirt":37280,".bg":37281,"SharedPreferences":37282,"(style":37283,"Ġgrief":37284,"gew":37285,"Ġsafeg":37286,"olang":37287,"_lists":37288,"ìĽ":37289,"Ġgranite":37290,"Ġhottest":37291,".jdbc":37292,".Customer":37293,"Ġâī¤":37294,"Ġwaar":37295,"_scene":37296,"+'/":37297,"ĠJTextField":37298,"Ġseating":37299,"Ġwears":37300,"Ġ`/":37301,"Cases":37302,"ĠYoutube":37303,"ım":37304,"Ġbalcon":37305,",G":37306,"MetaData":37307,"-price":37308,"SCR":37309,"Unity":37310,"Ġtrunk":37311,"={`${":37312,"Ġearthquake":37313,"Partial":37314,"Ġsubst":37315,"Ġelimin":37316,"=\"'.":37317,"//*[@":37318,"Ġsupervisor":37319,"vrolet":37320,"_article":37321,"Ġpane":37322,"bio":37323,"Ġmotors":37324,"NM":37325,"Frank":37326,"Ġonion":37327,"-word":37328,"ItemClickListener":37329,"Ġbrit":37330,"endencies":37331,"Computer":37332,"_running":37333,"(day":37334,"-he":37335,"(named":37336,"ĠSach":37337,"оÑĩ":37338,"campaign":37339,".Abstract":37340,"(wrapper":37341,".pay":37342,"Ġuw":37343,"Geo":37344,"rails":37345,"/select":37346,"ichte":37347,"sons":37348,"EVENT":37349,"Ġaliment":37350,"Providers":37351,"Await":37352,"_INTERVAL":37353,".off":37354,"Ġgluten":37355,"_cloud":37356,"Ġwen":37357,".extract":37358,"ĉbutton":37359,"/MM":37360,"Party":37361,"Ġdemographic":37362,"_errno":37363,"Ġhiking":37364,"('')Ċ":37365,"\",@\"":37366,"Ġwit":37367,"rá":37368,"ologie":37369,"ĠStyles":37370,"ĠBrowserModule":37371,".RequestMapping":37372,"icans":37373,"PAGE":37374,"creation":37375,"ĠFerguson":37376,"uded":37377,"numbers":37378,"ĠGTK":37379,"Ġpresentations":37380,"ĠBobby":37381,"_span":37382,"estyle":37383,"Ġillegally":37384,"abela":37385,"Ġbattlefield":37386,"capacity":37387,"terror":37388,"]\");Ċ":37389,"Ġwarrior":37390,"leader":37391,"ĠDBG":37392,"ĠRevenue":37393,"Ġvigil":37394,"Ġcounterparts":37395,"(Error":37396,"ACTER":37397,"Ġheeft":37398,"Ġselections":37399,"zeug":37400,"tom":37401,"-two":37402,".;Ċ":37403,"_statement":37404,"ĠAid":37405,"ĠVul":37406,"_rgb":37407,"Ġprizes":37408,"Ġeditable":37409,"ĉform":37410,"ını":37411,".decor":37412,"Demo":37413,"lices":37414,"Ġenctype":37415,"ratulations":37416,"ĠROS":37417,"_chars":37418,"ĠJahr":37419,"partial":37420,"ÑĥÑĤ":37421,"ĠReceive":37422,"ĠLands":37423,"APTER":37424,"Ġchopped":37425,"..\"":37426,"ĠAnaly":37427,"ĠUID":37428,"ĠRadeon":37429,"ĠBee":37430,"Ġunm":37431,">M":37432,".findall":37433,"Tokenizer":37434,"ĠWHAT":37435,"Ġsj":37436,"Drawing":37437,"Ess":37438,"OND":37439,"Ĭ¶":37440,"(packet":37441,"âĢĶbut":37442,"Invocation":37443,"ĠNuclear":37444,"?;Ċ":37445,"Ġgrandes":37446,"ĠCrypt":37447,"remark":37448,"Ġ'../../../../":37449,"Ġinability":37450,"magic":37451,"cats":37452,"Ġsimulate":37453,":${":37454,"inflate":37455,"Ġener":37456,":NO":37457,"iples":37458,"Ġmerit":37459,"ĠRated":37460,"Ġglue":37461,"/blog":37462,"Ġgren":37463,"Ġthrilled":37464,".CH":37465,"uncan":37466,"ĠPRIMARY":37467,"Ġpersec":37468,"Ġfeared":37469,".MIN":37470,"ĠTheater":37471,"éĴ":37472,"ategorie":37473,"段":37474,"Ġappetite":37475,"square":37476,"ĠAlexand":37477,".UserId":37478,"_gt":37479,"_enter":37480,"Ġgraduates":37481,"FragmentManager":37482,"Authorize":37483,"-NLS":37484,"(My":37485,"Ġtriumph":37486,"usting":37487,"_PARAMS":37488,"Characters":37489,"(:,:,":37490,"_BUILD":37491,"MHz":37492,"Ġwashed":37493,"Ġuncle":37494,"Steve":37495,"ardown":37496,"${":37680,"_confirmation":37681,"Ġtrophy":37682,"Works":37683,"ĠElectronics":37684,"ĠMediterranean":37685,"_metrics":37686,"Ġannouncing":37687,"ĠDAY":37688,"_proto":37689,"Ġpear":37690,"baseUrl":37691,"ĉĉĉĉĉĉĉĉĊ":37692,"Ġcoordination":37693,":N":37694,".animate":37695,"ĠCotton":37696,"_hit":37697,"âľ":37698,"Ġjetzt":37699,"ifter":37700,"(fields":37701,"ownload":37702,"ificacion":37703,".cuda":37704,"ĠLiu":37705,">equals":37706,"ĠAce":37707,"ÑĢам":37708,"ĠSuperman":37709,"ĠGarcia":37710,"Ġarrests":37711,"agar":37712,"Ġ{})":37713,"Ġmacros":37714,"roupe":37715,"être":37716,"Ġtwisted":37717,"struments":37718,"_(\"":37719,"_vertices":37720,"ĠTransition":37721,"ик":37722,"[max":37723,"mind":37724,"ĠaccessToken":37725,"Ġunle":37726,"mus":37727,"cop":37728,"ĠFactor":37729,"Ġconced":37730,"Ġretr":37731,".linalg":37732,"-slider":37733,"obl":37734,"_StaticFields":37735,"Ġzombie":37736,"selling":37737,"Ġchap":37738,"Ġshaking":37739,"ĠTranslate":37740,"ĠAmsterdam":37741,"ĠETH":37742,"_EXTERN":37743,"kd":37744,"_disc":37745,"Ġpreceding":37746,"Ġprix":37747,"ObjectName":37748,"_modified":37749,"ardware":37750,"Ġ?>\">":37751,"ĠDW":37752,"`${":37753,"Ġ?>\">ĊĊ":37859,"Ġspinning":37860,"_pending":37861,"Matchers":37862,".Keys":37863,"ĠPV":37864,"enus":37865,"antis":37866,"Ġdiscard":37867,"Ġhaul":37868,"Ġempir":37869,"Ġpathway":37870,"Ġoak":37871,"мен":37872,"-induced":37873,"Ġimpair":37874,"ĠCalgary":37875,".isHidden":37876,"dz":37877,"_include":37878,"Ġgm":37879,"Ġ'('":37880,"PY":37881,"uggestions":37882,"Ġcommodity":37883,"cro":37884,"/sub":37885,"ĠgetInstance":37886,"ĠLegacy":37887,"ĠKil":37888,"Bal":37889,"(short":37890,"Inform":37891,"+x":37892,"*r":37893,"ĠHopefully":37894,"orate":37895,"Ġmachen":37896,"Ġtreaty":37897,"ĠOri":37898,".public":37899,"-horizontal":37900,"Ġtactic":37901,"Ġbord":37902,"wares":37903,"Ġammo":37904,"ĠLists":37905,"Ġequations":37906,"/her":37907,"ĠNSW":37908,"Bounding":37909,"_Collections":37910,"Ġavail":37911,".DropDown":37912,"è°":37913,"Ġhh":37914,"ĠlÃł":37915,".pb":37916,"Ġmemorial":37917,"ĠATTR":37918,"Ġexhausted":37919,"Ġtsp":37920,"ĉredirect":37921,"Ġlikewise":37922,"STER":37923,"Ljava":37924,"Ġcondemned":37925,"ocaust":37926,"(strict":37927,"Ġexempt":37928,"Ġsms":37929,"Ġexagger":37930,"SYS":37931,"Ġlounge":37932,":^":37933,"Ġtodd":37934,"deb":37935,"atorial":37936,"ĠPorter":37937,"Ġtuition":37938,"Ġexempl":37939,"Ġparen":37940,".lineTo":37941,"Ġkidney":37942,"Ġça":37943,"Ġcui":37944,"ï¼Į请":37945,"XC":37946,"Ġmoż":37947,"Ġnominated":37948,"lung":37949,"ImGui":37950,"ĠBuzz":37951,"Ġstereo":37952,"portal":37953,"resas":37954,"Ġklass":37955,"Ġdrafted":37956,"Ġprojectile":37957,"/gpl":37958,"(parameters":37959,"*)Ċ":37960,"Ġassisted":37961,"ĠNSInteger":37962,"sitemap":37963,":nth":37964,".Views":37965,".ArgumentParser":37966,"Ġmeer":37967,"zier":37968,"ĠDig":37969,"Ċ":38036,"Ġplag":38037,"pine":38038,"Ġblanket":38039,"Ġ:-":38643,"Ġlcd":38644,"---------------":38645,"(\"\"":38646,"Ġtactical":38647,"ĠRonald":38648,"extr":38649,"ĠFest":38650,"Ġfuer":38651,"-navigation":38652,"Ġkb":38653,"ghost":38654,"ĠhandleChange":38655,"_cls":38656,"()!=":38657,"Comparator":38658,".vm":38659,"ĠCox":38660,"_review":38661,"/@":38662,"_cookie":38663,"Ġrecognised":38664,"ldap":38665,"Threads":38666,"ĠSexual":38667,"ĠBearing":38668,"(SQL":38669,"Ġxr":38670,"Ġthigh":38671,"URLConnection":38672,"ĠSUV":38673,"ĠmContext":38674,"Ġincidence":38675,"ĠEste":38676,".sup":38677,"_te":38678,"(EXIT":38679,"CMD":38680,"/\">":38681,"Almost":38682,"ĠUne":38683,"Ġanderen":38684,"ĠSingleton":38685,"Ġbore":38686,"Think":38687,"Ġnarc":38688,"]initWith":38689,"_shop":38690,"(strategy":38691,"!',":38692,"herits":38693,"ĠDesk":38694,"_machine":38695,".netty":38696,"ında":38697,"=<":38698,"ĠQR":38699,"ĠSidebar":38700,".splitContainer":38701,"ĠonSuccess":38702,"Ġmonkey":38703,"Enjoy":38704,"(nodes":38705,"pectrum":38706,"Ġ(*(":38707,"ĉUINT":38708,",height":38709,"ĠNetworks":38710,".tail":38711,".linspace":38712,"Ġ\"...":38713,"Listen":38714,"Æ¡":38715,".Channel":38716,"-defined":38717,"Repeat":38718,"adjust":38719,"ERM":38720,"_application":38721,".assertNotNull":38722,"-stream":38723,"Ġrabbit":38724,"Ġpositioning":38725,"Ġwoke":38726,"Ġfing":38727,"Ġmultiplayer":38728,"Ġregistering":38729,"until":38730,"Ã¥n":38731,"(::":38732,"ussions":38733,"Ġpotato":38734,"ĠEquals":38735,".Sup":38736,"/apache":38737,"Ġ(=":38738,".\")":38739,".ptr":38740,"ĠSpeech":38741,".clip":38742,"ĠGabriel":38743,"Ġmusician":38744,"/issues":38745,".shop":38746,"ĠHier":38747,"_RET":38748,"_bucket":38749,"ãĥ¡":38750,"avs":38751,"Ġroz":38752,"flower":38753,"WriteBarrier":38754,"ĠMilan":38755,"Ġlegislature":38756,"ĠDoll":38757,"Ġproving":38758,".concatenate":38759,"âķIJ":38760,"Ġgchar":38761,"cdnjs":38762,"bles":38763,"ĠListing":38764,"ло":38765,".xrLabel":38766,"ĠSak":38767,"justice":38768,"ĠValentine":38769,"unless":38770,"Ġpiger":38771,"(run":38772,"Ġtestified":38773,"ANA":38774,"ĠRemoves":38775,"))));Ċ":38776,"recated":38777,"ĠRuntimeMethod":38778,"Ġconqu":38779,"ãĤ¢":38780,"Ġtissues":38781,"ailer":38782,"été":38783,"-Star":38784,"Ġflames":38785,".setIcon":38786,"Ġsupern":38787,"Ġvagina":38788,"-variable":38789,"Ġwellness":38790,"CUR":38791,"Ġbelle":38792,".getRequest":38793,"Ġpoco":38794,"benh":38795,"agens":38796,"Ġspill":38797,"ĠJur":38798,"Ġdispatcher":38799,"ного":38800,"emonic":38801,"(dirname":38802,"ĠÐĶ":38803,"Ġpasse":38804,"Ġganz":38805,"ricing":38806,"EU":38807,"Ġmujeres":38808,"essen":38809,".attribute":38810,"jj":38811,"ĉĉĠĊ":38812,"[^":38813,"Ġstrtolower":38814,"lexer":38815,"ectar":38816,"hotel":38817,".square":38818,"Ġrall":38819,"Ġlowered":38820,"handled":38821,"Market":38822,"ĠUses":38823,"ivas":38824,".Business":38825,"ãģĹãģ¦":38826,"DIV":38827,"Ġwasted":38828,"Ġavoir":38829,"êm":38830,"_ACCOUNT":38831,".et":38832,"ĉSDL":38833,"kap":38834,"Ġfox":38835,"uppet":38836,"{},Ċ":38837,"\",'":38838,"Favorite":38839,"PEND":38840,"ĠAES":38841,"}),":38842,"Ġdeduction":38843,"ĠpolÃŃt":38844,"ĠcomponentWill":38845,"ĠTelerik":38846,"_SELF":38847,"Ġmuse":38848,"Craft":38849,"Ġdens":38850,"ि":38851,"(tp":38852,"Ġtasty":38853,"Ġbalances":38854,"Ġdedication":38855,"ĠWallace":38856,"Ġunlaw":38857,"\\\">\\":38858,"Ġmum":38859,"-update":38860,"emente":38861,"Ġsoda":38862,"Republic":38863,"asmine":38864,"éric":38865,"(Status":38866,"ĠJsonConvert":38867,"ĠDisk":38868,".Redirect":38869,"Ġfilming":38870,"/mol":38871,"Ro":38872,"Ġville":38873,"Ġtrabaj":38874,"Ġsynthesis":38875,"rega":38876,"Ġrl":38877,"Scheduler":38878,"ISHED":38879,"currentUser":38880,"(errors":38881,"'h":38882,"_bot":38883,"ximo":38884,"ĠUSART":38885,"_super":38886,"_DECREF":38887,"ной":38888,"_ROW":38889,"Ġpromotes":38890,"ĠTA":38891,"Ġhoras":38892,"ĠRepresents":38893,"Ġnameof":38894,"ĠExc":38895,"ĠGarage":38896,"Ġseine":38897,",#":38898,"Ġherb":38899,"/resources":38900,"Ġpleaded":38901,".radioButton":38902,"Ġæĺ":38903,"Ops":38904,"ĠNest":38905,"cstring":38906,"ĠDefence":38907,"Ġrefere":38908,"_leaf":38909,"Ġrevelation":38910,"ë§":38911,".executeUpdate":38912,"_WORLD":38913,"Ġexpans":38914,"(\"\\\"":38915,"jab":38916,"Ġdoubts":38917,"ĠGeometry":38918,"Ġintroduces":38919,"Ġsenators":38920,"Ġcanal":38921,".helper":38922,"ĠBiology":38923,"_SENS":38924,".previous":38925,"-touch":38926,"abit":38927,"Ġimpacted":38928,"Ġbrackets":38929,".direct":38930,"accum":38931,"Ġtestosterone":38932,"ĉaction":38933,"ĠChance":38934,"Ġpeaks":38935,"CppCodeGenWriteBarrier":38936,"Ġunbelie":38937,"_press":38938,".Rel":38939,"angled":38940,"/templates":38941,"-->čĊ":38942,"lime":38943,"Ġsufficiently":38944,"_nt":38945,"Expand":38946,".isfile":38947,"ĠisEmpty":38948,"Ġqt":38949,"Ġmulher":38950,"acob":38951,"George":38952,"常":38953,"Ġassim":38954,"aso":38955,"Ġcomprised":38956,"OV":38957,"(CONFIG":38958,"ĉwriter":38959,"Ġdesp":38960,"Ġtenure":38961,"(cr":38962,".pool":38963,"ĠBrend":38964,"Ġcensor":38965,"(timeout":38966,"Ġplea":38967,".Wrap":38968,"Ġtightly":38969,"ĠWere":38970,"ĠIgnore":38971,"abei":38972,"Ġbridges":38973,"Ġcondemn":38974,"Ġsimplicity":38975,"Ġroutinely":38976,"Ġblacks":38977,"jb":38978,"ĠPit":38979,"Utf":38980,"Ġ/Ċ":38981,"reload":38982,"ĠsetObject":38983,"/global":38984,"Ġfatty":38985,"Ġsocks":38986,"Couldn":38987,"Ġerotisk":38988,"æĿ¡":38989,"ĠPressure":38990,"ĠMaz":38991,"npos":38992,"tolower":38993,"ĠEQ":38994,"uteur":38995,"ĠMoment":38996,"Ġeta":38997,"{{--":38998,"Ġgraphs":38999,"ĠGuar":39000,"rine":39001,"(--":39002,"ĠHttpStatus":39003,"(student":39004,"*np":39005,"Ġrailway":39006,"Ġasynchronous":39007,"_vm":39008,"'],'":39009,",text":39010,"merchant":39011,"(Guid":39012,"ĠGra":39013,"ixer":39014,"fetchAll":39015,".addListener":39016,"flip":39017,"*$":39018,">(),":39019,"Ġsunlight":39020,"assigned":39021,"Ġabc":39022,"ĠCOLUMN":39023,"ĠðŁĻĤĊĊ":39024,")...":39025,"Ġensemble":39026,"Ġnewline":39027,"_SINGLE":39028,"iedad":39029,"Ġdarker":39030,"ormap":39031,"Ġlion":39032,"plits":39033,"Ġillustration":39034,"ĠIEEE":39035,"Ġvista":39036,"ousands":39037,"*******":39038,"ĠTommy":39039,"Ġhue":39040,"Sel":39041,"Ġaura":39042,"ĠTherapy":39043,"Ġanimator":39044,".constraints":39045,"Ġvague":39046,"(\"\")":39047,"Ġvillain":39048,"Ġblessing":39049,"ĠstringBuilder":39050,"ĠMisc":39051,"ĠDIR":39052,"fax":39053,"-node":39054,"ĠWalking":39055,"ĠAU":39056,"sess":39057,"Ġgrill":39058,"VERTISE":39059,"ĠFoods":39060,"Ġtournaments":39061,"Ãĵ":39062,"ĠMarsh":39063,"Ġwonders":39064,"Longitude":39065,".CommandText":39066,"=input":39067,"_encoder":39068,"pageSize":39069,"ĠgetState":39070,">>Ċ":39071,".grey":39072,"pod":39073,"Ġreadings":39074,"Ġreconsider":39075,"Startup":39076,"Ġexcer":39077,".balance":39078,"_cycle":39079,"_Time":39080,"LOCAL":39081,"ĠEFI":39082,"ĠReyn":39083,".setForeground":39084,"byn":39085,"Ġdisconnected":39086,"ACTIVE":39087,"Ġembedding":39088,"ickers":39089,"Ġsurroundings":39090,"*c":39091,"Ġgarant":39092,"Ġbf":39093,"Ġwipe":39094,"Ġä¸ĭ":39095,"_TRA":39096,"adox":39097,"çķ":39098,"Ġsucks":39099,"ĠSongs":39100,"ĠAssociates":39101,"ĠBald":39102,"ĠBrett":39103,"venile":39104,"Ġvt":39105,"Ġinade":39106,"Ġresigned":39107,"ĠGlenn":39108,".pattern":39109,".DataBind":39110,"Ñĥм":39111,"LayoutInflater":39112,"chet":39113,"ĠTestament":39114,".ms":39115,"Ġpav":39116,"ĠReactDOM":39117,"urdy":39118,"ADATA":39119,"Mu":39120,"/actions":39121,"ĠJs":39122,"_extract":39123,"ĠBring":39124,":id":39125,"strt":39126,"ivation":39127,"Ġoutright":39128,"azu":39129,"loyment":39130,"иÑı":39131,"aldo":39132,"ĠPublisher":39133,"Education":39134,"Palette":39135,"_drv":39136,"Ġ($(":39137,"ĠAnda":39138,"Ġremedy":39139,"Ġinconsistent":39140,"tection":39141,"Ġregulators":39142,"Ġshortest":39143,"(pair":39144,"ĠInstallation":39145,"Ġdefendants":39146,"Ġ();":39147,"-large":39148,"Mel":39149,"Ġthreaten":39150,"нÑı":39151,"Ġfetish":39152,"otine":39153,"_dic":39154,"Ġ<$":39155,"Ġstagger":39156,"spi":39157,"$response":39158,"Serv":39159,"-born":39160,"jos":39161,"ĉimg":39162,"ĉWHERE":39163,"_lt":39164,"å½ĵ":39165,".cost":39166,"ĠTue":39167,".labels":39168,"ĠLV":39169,"wcsstore":39170,"ĠJesse":39171,"ห":39172,"Trade":39173,"Ġpredecessor":39174,"ëĤ":39175,"finally":39176,"_general":39177,"oggler":39178,"_REGION":39179,"nement":39180,"Ġblogger":39181,"ĠHarbor":39182,"ĠDataset":39183,"[w":39184,"Ġattendees":39185,".ico":39186,"maximum":39187,".Unlock":39188,"_SYNC":39189,"ágina":39190,"Ġdowns":39191,"ĠWii":39192,"])/":39193,"Ġkicking":39194,"unication":39195,"ĠDAC":39196,"ĠIDS":39197,"ĠRental":39198,"ĠcurrentTime":39199,"Ġvaccines":39200,"ĠDevil":39201,"Ġnors":39202,"_mouse":39203,"urrection":39204,"(no":39205,"Ġ>čĊ":39206,"Ġaggression":39207,"Ġbreeding":39208,".symbol":39209,"iman":39210,"AbsolutePath":39211,"ĠWHO":39212,"_flush":39213,"-root":39214,"arna":39215,"&M":39216,"Ġfathers":39217,"ĠRocket":39218,"iveau":39219,"Ġwander":39220,"Ġcompos":39221,"ĠWarrior":39222,"ĠSeat":39223,"ĠClinic":39224,"_invoice":39225,"(dispatch":39226,"Producto":39227,"aturing":39228,"ossier":39229,"ĠMAY":39230,"Ġdagger":39231,"Ġsanitized":39232,"ĠRFC":39233,"Ġproph":39234,"Ġurine":39235,"Ġgrind":39236,"ĠExpanded":39237,"descripcion":39238,"-fw":39239,"ĠKerry":39240,"=name":39241,"Ġchk":39242,"Ġnationally":39243,"Ġthee":39244,"Inc":39245,"Ġ?>>":39246,".RadioButton":39247,".HttpServletResponse":39248,"/Y":39249,"ĉfield":39250,"Ġhomme":39251,"yper":39252,"Physical":39253,"=v":39254,"Ġdriv":39255,"ĠErrors":39256,"ĠcÄĥ":39257,"Death":39258,"ĠWINDOW":39259,"Ġpoet":39260,"ĠSharp":39261,"ĠImmutable":39262,"ĉcreate":39263,"Ġgeht":39264,"ĠReform":39265,"aiser":39266,"ĠInitialization":39267,"Ġimmunity":39268,".compose":39269,"Ġlatency":39270,"ĠLebanon":39271,"ĠParad":39272,"Ġfuels":39273,"ĠExhib":39274,"coh":39275,"%\">Ċ":39276,"ĠCLI":39277,")initWith":39278,"-Za":39279,"_CLEAR":39280,"regn":39281,"Ġfinances":39282,".standard":39283,"_CATEGORY":39284,".library":39285,"Ġtravelers":39286,"_wp":39287,"ĠEvaluation":39288,"starting":39289,"Ġ)),Ċ":39290,"episode":39291,"ĠVariant":39292,"Ġdaemon":39293,"ĠJulia":39294,"ĠNR":39295,"Ġdoubles":39296,"'":39526,"Ġqueryset":39527,";}čĊ":39528,"ĠPopulation":39529,"utedString":39530,"resident":39531,"_FONT":39532,"ĠRespond":39533,"Ġobscure":39534,"Ġobservable":39535,"ĠContributors":39536,"kon":39537,"ĠMusk":39538,"exao":39539,"ĠTub":39540,"BootApplication":39541,"SOR":39542,".Horizontal":39543,".findBy":39544,".power":39545,"Ġpositively":39546,"venience":39547,"ĠJong":39548,"Ġwhistle":39549,"ĠзнаÑĩ":39550,"Ġlending":39551,"Ġdestructive":39552,"ĠonDelete":39553,"authorization":39554,"();?>":39555,"_original":39556,"science":39557,"atra":39558,"?,?,":39559,"ĠAsc":39560,"Ġconvincing":39561,"$a":39562,"orgen":39563,"_Date":39564,"ĠProvide":39565,"Ġlonely":39566,")'Ċ":39567,"exchange":39568,";?>Ċ":39569,".fast":39570,"Samples":39571,"London":39572,"'])čĊ":39573,"ĠIonic":39574,"Ġpesso":39575,"ĠKnights":39576,"ĠRaf":39577,"_attrs":39578,"Ġrepeal":39579,">Main":39580,"ĠOrdered":39581,"_New":39582,"=\"\">\";Ċ":39663,"ĠSERVER":39664,"ĠHEADER":39665,"_velocity":39666,"ĠInvoke":39667,".timestamps":39668,"Ġsulf":39669,"IQUE":39670,"Ġinhabitants":39671,"phins":39672,"azzo":39673,"Ġmono":39674,"Legend":39675,"Ġnonce":39676,"IFE":39677,";\";Ċ":39678,"-create":39679,"\"\",Ċ":39680,"permit":39681,"ĠImmigration":39682,"Ġpathname":39683,"ffective":39684,"âĻĢâĻĢ":39685,"Ġexams":39686,"-event":39687,"ĠTill":39688,"[mid":39689,"FIX":39690,";color":39691,"(Order":39692,"_traits":39693,"ĠorderBy":39694,"Ġsunt":39695,"ĠNicholas":39696,"ز":39697,"Ġsunny":39698,"iners":39699,"Ġaccessibility":39700,"ĠHB":39701,".comp":39702,"ĉop":39703,"Ġminorities":39704,"etheus":39705,"Ġcollaborative":39706,"prit":39707,"HIR":39708,"Ġwraps":39709,"ĉdraw":39710,"god":39711,"ĠIX":39712,".apps":39713,"ĠNM":39714,"Ġirrelevant":39715,"ĠTigers":39716,"Ġdiag":39717,"GV":39718,"ĠAccessories":39719,"kont":39720,"Ġsimplify":39721,"ĠFavorite":39722,"_tools":39723,"([]);Ċ":39724,"Ġtowers":39725,"Bes":39726,"Ġhunter":39727,"Ġsalon":39728,"(buff":39729,"ĉdebug":39730,"Ġmalware":39731,"Moving":39732,"-options":39733,")+'":39734,"ĠLOVE":39735,"_SOCKET":39736,"_fin":39737,"ĠDelaware":39738,"Ġsheriff":39739,"-invalid":39740,"ĠFULL":39741,"Ġпод":39742,"elas":39743,"\"strings":39744,"ĠRepresentatives":39745,"surface":39746,"resolved":39747,"htdocs":39748,")):čĊ":39749,"Ġpressures":39750,"Ġnorms":39751,"Ġpla":39752,"Ġsurname":39753,"Ġpostal":39754,"ĠDepart":39755,"Ġslaughter":39756,"orida":39757,"Ġhebben":39758,"Ġdesar":39759,"compact":39760,"_LANG":39761,"åIJĪ":39762,"opoly":39763,"_rad":39764,"ĠSTDMETHOD":39765,"Lazy":39766,"ĠĠĠĉ":39767,"...,":39768,"(web":39769,"ĠPont":39770,"Ġetwas":39771,"Ġupward":39772,"_hat":39773,"Ġ],ĊĊ":39774,"ĠbaseUrl":39775,"Ġworrying":39776,"-addon":39777,"(getClass":39778,"SPI":39779,"Ġcapturing":39780,")},Ċ":39781,"Effects":39782,"Ġcompetent":39783,"Ġfoul":39784,"Ġsubscribing":39785,"ĠOBJECT":39786,"IXEL":39787,"bucks":39788,"(edge":39789,"(pass":39790,"ĠPeterson":39791,"Ġboobs":39792,"ĠDelay":39793,"_square":39794,"elim":39795,"oters":39796,"_PC":39797,"%E":39798,"onclick":39799,"ĠSVG":39800,"Ġtopped":39801,"Ġfist":39802,"smart":39803,"ĠRalph":39804,"(owner":39805,"jours":39806,"Ġbronze":39807,"ĠArgumentException":39808,"(original":39809,"_SCALE":39810,"_cp":39811,"Ġrecommends":39812,".setStyle":39813,"Sure":39814,"LAND":39815,"Ġrepeating":39816,"Matt":39817,".Visibility":39818,"Ġenterprises":39819,".Setup":39820,"(scene":39821,"ĠReactive":39822,"urge":39823,"bw":39824,".Put":39825,"persist":39826,".cookie":39827,"ĠAudi":39828,"`s":39829,"supplier":39830,"(Form":39831,"¡":39832,"_so":39833,"ĮĢ":39834,"ĠLegion":39835,"tte":39836,"Nd":39837,"Loss":39838,"(attrs":39839,".scatter":39840,"Ġgroom":39841,"Ġglimpse":39842,"Ġnails":39843,"Ġcumulative":39844,"Ġfazer":39845,"_services":39846,".Num":39847,"ibilit":39848,"_resolution":39849,"ĠTx":39850,"uminium":39851,"opa":39852,".schedule":39853,"smtp":39854,"à¸ķ":39855,"urry":39856,"ük":39857,"goog":39858,"_signature":39859,".into":39860,"ĠSteps":39861,"Ġhomeowners":39862,"ĠNSURL":39863,"ĠPAC":39864,"ĠĠĠĠĠĠĠĠĠĠĠĠĊĊ":39865,">')Ċ":39866,"enh":39867,"Ġincap":39868,"$MESS":39869,"Ġmoins":39870,"ĠFi":39871,"Ġoffseason":39872,"pressions":39873,">.Ċ":39945,"ĠGrass":39946,"ĠGoal":39947,"_pdf":39948,"Handlers":39949,"Ġstacks":39950,".getFullYear":39951,"=[];Ċ":39952,"车":39953,",V":39954,"(split":39955,"Ñĥнк":39956,"Ġbakeca":39957,"Ġ~/.":39958,"pez":39959,"tails":39960,"ĠGlen":39961,"ĠsetImage":39962,"ĠComic":39963,"BLOCK":39964,"ĉThis":39965,"oader":39966,"Ġcapitalist":39967,"_STEP":39968,"(Boolean":39969,"ĠCorrect":39970,"rina":39971,"Ġconcaten":39972,"å®ŀ":39973,"():ĊĊ":39974,"Ġunanim":39975,"lli":39976,"alars":39977,"-ne":39978,"Ġdivor":39979,"ĠKickstarter":39980,"]._":39981,"*'+":40622,"åĿĢ":40623,"acency":40624,"(URL":40625,"_half":40626,"=l":40627,"ĠlistView":40628,"(section":40629,".toArray":40630,"+/":40631,"ĠRodriguez":40632,"istream":40633,"Ġeligibility":40634,"::-":40635,".newInstance":40636,"PB":40637,"ĠAssets":40638,"ĠComposite":40639,"ĠLabs":40640,"ĠHamas":40641,"++);Ċ":40642,"Ġblk":40643,"ĠNeo":40644,"Luc":40645,"@login":40646,"Ġunaware":40647,".met":40648,"_RELEASE":40649,"(ST":40650,"AMIL":40651,"rike":40652,"Ġ(){Ċ":40653,"(sprintf":40654,"ĠAccounts":40655,"ĠVIEW":40656,"ĠAj":40657,"ãĤ°":40658,"Ġwhisk":40659,"Ġidi":40660,"Ġrode":40661,"Ġihn":40662,"ĠElementary":40663,"Qty":40664,"Ġintriguing":40665,"Ġå¤":40666,"Jobs":40667,"ĉoffset":40668,"ĠAhmed":40669,"ĠTaliban":40670,"Ġèİ·åıĸ":40671,"Ġinjected":40672,".Authentication":40673,"_linear":40674,".Decimal":40675,"Ġapples":40676,"Ġshareholders":40677,"Ġbaked":40678,".diff":40679,"ĠEddie":40680,"okers":40681,"Ġconfronted":40682,"voices":40683,"Ġtus":40684,"ĠSpin":40685,"NODE":40686,"_Un":40687,"CTX":40688,"/google":40689,"Temperature":40690,"Ġ'').":40691,"Ġmagnificent":40692,"ĠstartIndex":40693,"sembles":40694,"Anyone":40695,"zk":40696,"ehen":40697,"ĠDame":40698,".strict":40699,"Ġreplaces":40700,"Ġlineback":40701,"Ġpushes":40702,"Ġcheek":40703,"ĠShi":40704,"_BYTES":40705,"REA":40706,"ản":40707,"_CONNECTION":40708,"Gateway":40709,"ĠTravis":40710,"ĠAX":40711,"ĠBasically":40712,"ĠUpgrade":40713,"àª":40714,"themes":40715,"ermo":40716,"kor":40717,"Female":40718,"_attach":40719,"ĠìĤ¬ìļ©":40720,"Ġpoz":40721,"==============Ċ":40722,"(symbol":40723,"ĠSector":40724,"__)ĊĊ":40725,"_padding":40726,"ï¼ļ\"":40727,"Ġfabs":40728,"Ġranged":40729,"setName":40730,"Ġperror":40731,"âĹ":40732,"ĠFileReader":40733,"Ġfulfilled":40734,"_Current":40735,"Ġdominate":40736,"Ġsmugg":40737,"PostMapping":40738,"_force":40739,"Ġbloc":40740,"ĠGiant":40741,"(video":40742,"ĠCU":40743,"SystemService":40744,"Ġelf":40745,"Ġkontakt":40746,"ëª":40747,"kees":40748,"gtk":40749,"ĠparamInt":40750,"Ġmarkup":40751,"uales":40752,"Ġaccounted":40753,"Ġgangbang":40754,"RYPT":40755,"ĠWrong":40756,"Ġcredited":40757,"ĠMESSAGE":40758,"Ġflaws":40759,"Ġbbw":40760,"Ġmetabolic":40761,"ĠOEM":40762,"/event":40763,"(Collectors":40764,"monton":40765,"appear":40766,"Ġopted":40767,"Ġcheat":40768,"Ġdav":40769,"ĠProceed":40770,"Ġê¸":40771,"anked":40772,"из":40773,"ansk":40774,"ĠHang":40775,"ĠCler":40776,"Ġdisgu":40777,"Ġcmap":40778,".cljs":40779,"Ġaument":40780,"lez":40781,"ĠJoined":40782,"_received":40783,"Ġaerial":40784,"otel":40785,"Ġgreet":40786,"\"s":40787,"ĠGenesis":40788,"ĠCalif":40789,"panion":40790,"Ġtailored":40791,"mapping":40792,"andExpect":40793,".track":40794,"atomy":40795,"ĠOw":40796,"ullah":40797,".Yes":40798,"ĠSimpleName":40799,"dbh":40800,"'en":40801,"Ġnonsense":40802,"Ġphilosophical":40803,"(getContext":40804,"Ġisso":40805,"ĠACE":40806,"startDate":40807,"ĠbÄĻd":40808,"ĠAUTHOR":40809,"ĠGlobe":40810,"Ġinsects":40811,"_Al":40812,"ushing":40813,"è®°":40814,"/Home":40815,"ĠLocalDate":40816,"needed":40817,"hesive":40818,"Ġillusion":40819,"äºĮ":40820,"Ġtrat":40821,"xo":40822,"/detail":40823,"_MATCH":40824,"Ġbroadband":40825,"Ġwal":40826,"ĠIllegalStateException":40827,"IRECTION":40828,"Ġnortheast":40829,"esium":40830,"ĠCliente":40831,"ulance":40832,"nty":40833,"Ġtecn":40834,"Devices":40835,"Ġgrains":40836,"ĠOg":40837,"ĠSEL":40838,"udiant":40839,"Ġ++;Ċ":40840,"Ġexplanations":40841,"occo":40842,"Ġdiets":40843,"Ġcohort":40844,"(controller":40845,".Iterator":40846,"-rich":40847,"rocess":40848,"GD":40849,"Ġcarbohydr":40850,"Ġfried":40851,"ĠEmployment":40852,"ìŀ¥":40853,"ĠLeonard":40854,"_${":40855,"quares":40856,"Ġcompanions":40857,"Ġparis":40858,"Ġstimulation":40859,"ĠZoo":40860,"Ġrelevance":40861,"ĠColour":40862,"Ġspear":40863,"otional":40864,"ĠLite":40865,"ĠKosten":40866,"Ġó":40867,"_attachment":40868,"orphic":40869,"Ġdamit":40870,"Ġdlg":40871,"Ġthrive":40872,"CHANGE":40873,"ĠApparently":40874,"Ġatual":40875,"Ġrooted":40876,"(images":40877,"awi":40878,"ariat":40879,"Ġcherry":40880,"STATIC":40881,"mnt":40882,"ĠUserId":40883,"illet":40884,"ĠHispanic":40885,"Ġnak":40886,"Ġcentro":40887,"Ġdims":40888,"_initialize":40889,"ık":40890,"ĠCenters":40891,"REN":40892,"Ġevolutionary":40893,"ĠTopics":40894,"_damage":40895,"emer":40896,"Ġrund":40897,"Ġpunished":40898,"Ġcubic":40899,"fair":40900,"[];ĊĊ":40901,"Ġinstantiate":40902,"Ġoversee":40903,"-delete":40904,"unteer":40905,"startTime":40906,"ĠPipeline":40907,"_GAME":40908,"ĠCir":40909,"ĉNull":40910,".Formatting":40911,"ucumber":40912,"ĠRide":40913,"Ġzoo":40914,"Ġchecker":40915,"åIJĮ":40916,"=C":40917,"Ġgrit":40918,"\");//":40919,"_xy":40920,"ĠDeclaration":40921,"Ġcallable":40922,"Foo":40923,"ĠListItem":40924,"Ġinaccur":40925,"mlin":40926,"ĉData":40927,"Ġevolving":40928,"awan":40929,"Ġcafe":40930,"folk":40931,"_IDX":40932,"ĠAnything":40933,"ĠPalestine":40934,"ĠGridView":40935,"Ġcolony":40936,"ĠGermans":40937,"(+":40938,".pid":40939,".jsx":40940,"ĠSuperior":40941,"Christian":40942,"ĠLect":40943,"ĉGame":40944,"Ġinstrumental":40945,"Animations":40946,"дал":40947,"ĠMoses":40948,"ĉĉčĊĉĉčĊ":40949,"zs":40950,"kte":40951,"ä¸ļ":40952,"_DIST":40953,"bitmap":40954,"dB":40955,"Ġpersistence":40956,"ÑĢоÑģ":40957,"$l":40958,"Bron":40959,"Ġ{|":40960,"_chart":40961,"ĠConsum":40962,"Ġhemp":40963,"Ġ\"))Ċ":40964,"Ġattackers":40965,"Ġknowledgeable":40966,"Ġcet":40967,"Ġviruses":40968,"'I":40969,"Ġpitcher":40970,"Ġsweeping":40971,"=list":40972,"aptops":40973,".depth":40974,"Ġinstructed":40975,"ĠRus":40976,"benhavn":40977,"Ġин":40978,"Sports":40979,"Ġonset":40980,"æĿĥ":40981,".RED":40982,"_si":40983,"ĠPST":40984,".onChange":40985,">tag":40986,"ĠRoh":40987,"_character":40988,"ĠLaws":40989,"ĠBachelor":40990,"_swap":40991,".reactivex":40992,"Ġrewarding":40993,"Medium":40994,"-[":40995,"ĠRecently":40996,"Joint":40997,"partition":40998,"ĠMinutes":40999,"Ġindo":41000,"Ġabsorbed":41001,"ĠGN":41002,"_IND":41003,"Ġsaber":41004,"Spawn":41005,"outputs":41006,"ĠJeffrey":41007,"Ġmedieval":41008,"hed":41009,"Guide":41010,"Ġpsycho":41011,"Ġglam":41012,"Elim":41013,"ädchen":41014,"_plain":41015,"ĠSau":41016,"-four":41017,"Ġanalyzing":41018,"QUERY":41019,"Ġtomato":41020,"_buttons":41021,"VEN":41022,".setStatus":41023,".Url":41024,"+ĊĊ":41025,"Ġcomplaining":41026,"degree":41027,"confirmed":41028,"Ġsubt":41029,"parsed":41030,"Ġtorque":41031,"Ġtroubled":41032,"ĠTARGET":41033,"Ġtrademarks":41034,"ĠCoordinate":41035,"ĠViv":41036,"Ġ//}ĊĊ":41037,"Ġaprès":41038,".getPosition":41039,"(KeyCode":41040,"ĠSilva":41041,"Ġmeteor":41042,"Ġendorsement":41043,"Overview":41044,"ĠPoss":41045,".Inject":41046,"Ġevenly":41047,"Ġvisualization":41048,"Ġwchar":41049,"ĠHDMI":41050,"Ġfunct":41051,"ickname":41052,"','','":41053,"Ġforwards":41054,"ManagedObject":41055,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":41056,"ĉserver":41057,"ĠOutlook":41058,"ĠChronicle":41059,"Ġdubbed":41060,"Ġdok":41061,"ĠWear":41062,".AL":41063,"paren":41064,".Interface":41065,"Interfaces":41066,".cod":41067,"Ġdib":41068,".Globalization":41069,"ĠAcademic":41070,"Ġassms":41071,"Autom":41072,"Ġlw":41073,"ĠNW":41074,"Ġ&&čĊ":41075,"Ġproblema":41076,"ĠManufacturing":41077,"limits":41078,"-mobile":41079,"Ġfilme":41080,"/map":41081,"Ġdoit":41082,"ĠInk":41083,"Ġsued":41084,".arr":41085,"Ġundermin":41086,"ĠProc":41087,"crollView":41088,"__$":41089,"Ġsidewalk":41090,"(that":41091,"ื":41092,"[q":41093,"grammar":41094,"Ġtë":41095,"quito":41096,"Ġspiral":41097,"extended":41098,"Ġfocal":41099,"Ġdigging":41100,"pas":41101,"ĠTall":41102,".proxy":41103,"itures":41104,"TRACT":41105,"ĠRealm":41106,"Ġfeder":41107,"Ġoriented":41108,"ĠAlternative":41109,"Ġowe":41110,"Ġsourced":41111,"inker":41112,".det":41113,"Sep":41114,"ĠQui":41115,"ĠPalmer":41116,"(_,":41117,"samples":41118,"oyer":41119,"ullan":41120,"quez":41121,"Edges":41122,"Ġshout":41123,"ĠAchie":41124,"Ġhaar":41125,"_Construct":41126,"Ġpremature":41127,"Ġrevert":41128,"').Ċ":41129,"Ġschn":41130,"filtered":41131,"nullptr":41132,"Saved":41133,"itecture":41134,"CLA":41135,"Ġvl":41136,"stell":41137,"ĉMe":41138,"ĠLip":41139,"national":41140,"Ġwholly":41141,"Ġsprings":41142,".Timer":41143,"ĉsrc":41144,"elsen":41145,"åħ¶":41146,"Ġcommunicating":41147,"ĠQuiz":41148,"Ġteng":41149,"Ġgez":41150,"ĠOutside":41151,".Sign":41152,"(cs":41153,"Ġdisputes":41154,"ĠWeiss":41155,"annes":41156,">No":41157,"ĠBach":41158,".removeAll":41159,"refer":41160,"/dashboard":41161,"ĠAjax":41162,"IndexChanged":41163,"ĠWeak":41164,"'\"Ċ":41165,"Ġsights":41166,"accessToken":41167,"ĠJoi":41168,"(domain":41169,"ĉcv":41170,"Ġcontinuation":41171,"Ġplum":41172,"adir":41173,".setMessage":41174,"Ġï¼Į":41175,"Ġswallow":41176,"ĠLamp":41177,"Ġqw":41178,"Ġuu":41179,"Coin":41180,"ubic":41181,"ĠDeals":41182,"race":41183,"Ġdictator":41184,"Ġmeme":41185,"turned":41186,"ĠJulie":41187,".gridColumn":41188,"Ġpuppy":41189,"Ġpam":41190,"Ġ){čĊ":41191,"Ġinviting":41192,"Ġfrench":41193,"vim":41194,"Ġwrapping":41195,"Ġ#-}Ċ":41196,"([-":41197,"Early":41198,"Ġshiny":41199,".faces":41200,"Ġrebell":41201,"abcdef":41202,"ält":41203,"Ġestimation":41204,"phys":41205,"losures":41206,"_REL":41207,"Ġexclusion":41208,"ĠSkype":41209,"weise":41210,"-stop":41211,"nothing":41212,"ĠEgg":41213,"isors":41214,"Richard":41215,"Ġcounseling":41216,"Ġcommem":41217,"ĠQMessageBox":41218,"ĠSynd":41219,"ĠFrost":41220,"ĠCompetition":41221,"ĠAwake":41222,"Ġted":41223,"iciones":41224,"ĠDevComponents":41225,"VERTISEMENT":41226,"otti":41227,".runner":41228,"Ġuniquely":41229,".flag":41230,"ĉrs":41231,"_generic":41232,"Ġ```Ċ":41233,"ACHINE":41234,"Ġmein":41235,"(Application":41236,"(br":41237,"Ġratios":41238,":,":41239,"ĠXCTest":41240,"ustainable":41241,"-www":41242,"itles":41243,"_TEMP":41244,"Ġsyst":41245,"umericUpDown":41246,"ĉassertTrue":41247,"Ġwf":41248,".peek":41249,"ĠBulg":41250,"Ġterrifying":41251,".MODE":41252,"ĠGW":41253,"ár":41254,"Ġfic":41255,"Ġcommitments":41256,"-tech":41257,"ĠLiquid":41258,"opez":41259,"zheimer":41260,"aña":41261,"-media":41262,"(animated":41263,"_goal":41264,"Ġgum":41265,"ystone":41266,".SET":41267,"ĠWend":41268,"setCellValue":41269,"Ġmsgs":41270,"cash":41271,"ALLOC":41272,"/aws":41273,"Ġmicrowave":41274,".Pointer":41275,"ĉConsole":41276,"_sorted":41277,"ĠFilip":41278,"Prod":41279,"Ġ//!<":41280,"ingroup":41281,"Ġks":41282,"_TRI":41283,"Ġteaspoon":41284,"ĠATT":41285,"Ġrecovering":41286,"ĠGLOBAL":41287,".Par":41288,"Ġ/>;Ċ":41289,"Ġmarble":41290,"ulators":41291,"ĠCycle":41292,"Ġherbs":41293,"_metric":41294,")!":41295,"_CLOCK":41296,"_Button":41297,"Harry":41298,"è¿Ľ":41299,"Ġstrains":41300,"ĠAppBar":41301,"ĠChan":41302,"/video":41303,"Ġbam":41304,".Progress":41305,"$f":41306,"lemen":41307,"Ġirregular":41308,"ĠDuncan":41309,"ĠMint":41310,"-video":41311,"া":41312,"ówn":41313,"ĠEMPTY":41314,"Ġstacked":41315,"ĠHA":41316,"_cut":41317,"Ġwherein":41318,"ĠWays":41319,"(counter":41320,"è¯ķ":41321,"FormGroup":41322,"Ġblew":41323,"courses":41324,"Ġproductos":41325,"rys":41326,"ĠRestr":41327,"Ġstyling":41328,">s":41329,"Ġpiv":41330,"Ġitertools":41331,"getRepository":41332,"ĠIk":41333,"_devices":41334,"layui":41335,"Ġhalfway":41336,"Ġfranç":41337,"Ġtuning":41338,"OA":41339,"_Node":41340,"arde":41341,"Ġfierce":41342,"licted":41343,"#čĊ":41344,"Ġbreakthrough":41345,"ĠErik":41346,"Ġbride":41347,"Ġ.\"":41348,"culus":41349,"inside":41350,"ĠIndianapolis":41351,"ĠEE":41352,"Ġyog":41353,"urret":41354,".fs":41355,".grad":41356,"_cards":41357,"_accuracy":41358,"_epi":41359,"queda":41360,"/org":41361,"éªĮ":41362,"Ġcompte":41363,"))[":41364,"Outside":41365,"Greater":41366,"ĠRenderer":41367,".actor":41368,"Accounts":41369,"Idle":41370,"_hours":41371,"erner":41372,"Joined":41373,"Ġmenj":41374,"requires":41375,"ĠOPER":41376,".removeChild":41377,"ĉsp":41378,"Ġesse":41379,"rift":41380,"xFE":41381,"ĠShakespeare":41382,"____________":41383,"Ġbudgets":41384,"ModelState":41385,"fillable":41386,"-component":41387,"ocos":41388,"ĠBUTTON":41389,"/io":41390,",out":41391,"sms":41392,"Thomas":41393,"ĠArmed":41394,"resume":41395,"Ġrotating":41396,"ĠVault":41397,"Ġseus":41398,".(*":41399,"Ġamino":41400,"Ġ[]);ĊĊ":41401,"Ġprovoc":41402,"nox":41403,".GetEnumerator":41404,"=======Ċ":41405,"æĸĻ":41406,"_scroll":41407,"Ġfilmed":41408,"ĠSoci":41409,"gap":41410,"gro":41411,"Vote":41412,"\"But":41413,"_RC":41414,"Animal":41415,"ÂĢ":41416,"ibile":41417,"Ġawaken":41418,"orest":41419,"inja":41420,"ĠIvan":41421,"(Command":41422,"Ġ*****":41423,"η":41424,"Ġkvinder":41425,"/helpers":41426,"_cases":41427,"tg":41428,"ìĦ¸":41429,"Registered":41430,"ĉpass":41431,"_digits":41432,"Ġcontour":41433,"Ġinfants":41434,"Ġjustification":41435,"ĠFortunately":41436,"Contr":41437,"ĠonCreateView":41438,"_SAMPLE":41439,"ĠallowNull":41440,"Ġnud":41441,"Ġfetched":41442,"_equ":41443,"ĠUnable":41444,"=\\\"\"":41445,">{Ċ":41446,"Ġcommittees":41447,"istema":41448,"+\".":41449,"ÃŃan":41450,"mant":41451,"Ġsoutheast":41452,"ï¼ĮĊ":41453,"dialogs":41454,"PROJECT":41455,"charger":41456,"-port":41457,"(uuid":41458,".export":41459,"Six":41460,"ĠRP":41461,"Prem":41462,"Ġconscience":41463,"ĠmarginRight":41464,"_distribution":41465,"yaml":41466,"resizing":41467,"Dock":41468,"ĠLocations":41469,"GY":41470,"Seed":41471,"BUFFER":41472,"ossip":41473,"ullen":41474,"Things":41475,"-self":41476,".poll":41477,"PLAYER":41478,"Ġå®":41479,"GROUP":41480,"ĠAway":41481,"Ġgospel":41482,"xfd":41483,"Mary":41484,"ĠPortable":41485,"TURE":41486,"Ġutilis":41487,"Ġseit":41488,"Ġstrand":41489,"Ġtransc":41490,"Ġ(^":41491,"ĠAlfred":41492,".mem":41493,".circle":41494,"Ġ~/":41495,"forcing":41496,"Ġriot":41497,"prox":41498,"THON":41499,"ización":41500,"ĠNI":41501,"rost":41502,"Ġdispro":41503,"_instances":41504,"ï¼ĮâĢľ":41505,"ographer":41506,"endas":41507,"ĠIsaac":41508,"ĠPine":41509,"/dis":41510,"ĠcolorWith":41511,"iterate":41512,"_stride":41513,"Ġpunto":41514,".EventArgs":41515,"(center":41516,"Ġneighboring":41517,"ĠPrison":41518,"ĠMessenger":41519,"Ġepidemic":41520,"dao":41521,"_complex":41522,"Ġgravel":41523,"_DIP":41524,"ément":41525,"ĠAri":41526,"_bitmap":41527,".quit":41528,"(valid":41529,"Ġpend":41530,"Ġrespiratory":41531,"Ġrebound":41532,"DefaultValue":41533,"ãĥŃ":41534,"Ġcommits":41535,".tests":41536,"_fr":41537,"itet":41538,".sf":41539,"Ġspacecraft":41540,"critical":41541,"Ġdepressed":41542,"ĠAnyObject":41543,"Ġunb":41544,"Ġdiscern":41545,"(mysql":41546,"Latin":41547,"ĠBog":41548,"ĠWildlife":41549,"ToFile":41550,"ioxid":41551,"@RestController":41552,"Ġ\"$(":41553,"Ġ<<\"":41554,"Ġdefects":41555,"Ġdatum":41556,"hin":41557,"Ġrealizar":41558,"anyahu":41559,"ĠSig":41560,"@Data":41561,"adaptive":41562,"ĠCatherine":41563,".cr":41564,"ĠCOOKIE":41565,"Ġpictured":41566,"ĠFighter":41567,"Queryable":41568,"ĠAnyway":41569,"ĠGLFW":41570,"_namespace":41571,"_ft":41572,"Ġ])":41573,"Organization":41574,"Ġconstitutes":41575,"Ġquand":41576,"(chunk":41577,"\"/>čĊ":41578,"ĠLakes":41579,"mainwindow":41580,"Carthy":41581,"spin":41582,"(csv":41583,":red":41584,"-commerce":41585,"ู":41586,"Ġdiscovering":41587,"Ġeco":41588,"_fac":41589,"inceton":41590,"ĠGreens":41591,"jwt":41592,"ص":41593,"ĠBroncos":41594,"ĠGoods":41595,"(GTK":41596,"ĠreturnValue":41597,"Ġsiempre":41598,"Ġneutr":41599,"went":41600,"ĠNatal":41601,"Ġenthusiastic":41602,"á»į":41603,"FN":41604,"/database":41605,"Catalog":41606,"Ġbrun":41607,"ĠKash":41608,"_Pl":41609,"iscrim":41610,",width":41611,"Ġinmates":41612,"Assignment":41613,"ĠHaven":41614,"Ġplayground":41615,"exam":41616,"@Controller":41617,"uliar":41618,".getParent":41619,"Ġ\";ĊĊ":41620,":size":41621,"issors":41622,"Ġfis":41623,"Ġalc":41624,"ensation":41625,"ĠNixon":41626,"Ġmighty":41627,"-str":41628,"_special":41629,"_ADC":41630,"ĠTwig":41631,"umbling":41632,"-address":41633,"Ġheroin":41634,"YTE":41635,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":41636,"Friend":41637,"Ġave":41638,"ĠPNG":41639,"ĠKurdish":41640,"DataSetChanged":41641,"Ġblades":41642,"bral":41643,"Steam":41644,"Ġsigu":41645,"IRTUAL":41646,"acos":41647,"UDP":41648,"(database":41649,"hec":41650,"ĠStrings":41651,"_scalar":41652,"ĉdesc":41653,"ĠTLS":41654,";\"Ċ":41655,"ĠCorbyn":41656,"SimpleName":41657,"uell":41658,"ĠEntre":41659,"ellites":41660,"-place":41661,"Ġfrankly":41662,"ĠErf":41663,"CEL":41664,"ĠpaÃŃs":41665,"Ġhedge":41666,"Ġlatent":41667,"ĠIRQ":41668,"ĠHerald":41669,"ĠPrec":41670,"ë³´":41671,".TEXT":41672,"Salary":41673,"Ġautumn":41674,"Ġtravail":41675,".Sum":41676,"Ġcared":41677,"Mor":41678,"Ġintuitive":41679,"Ġjournals":41680,"_IT":41681,"ĠTrou":41682,"ä¼ł":41683,"HasColumnName":41684,"Composite":41685,"Ġspice":41686,"_disk":41687,"_CODES":41688,"ĠIntroduced":41689,"iona":41690,"Ġnuestra":41691,"oct":41692,"ĠĠĠĠĊĠĠĠĠĊĠĠĠĠĊ":41693,"(parameter":41694,"Ġstudios":41695,"ĠprojectId":41696,"Ġbdsm":41697,".SqlClient":41698,"imizer":41699,"ĠCARD":41700,"+t":41701,"aan":41702,".sol":41703,"_Adjust":41704,"Ġrighteous":41705,"ĠLogging":41706,".filters":41707,"_TAB":41708,"ĉsys":41709,"rophic":41710,"otherapy":41711,"ĠBrowse":41712,"keyboard":41713,"RON":41714,"+\\":41715,"ropped":41716,"Ġextensively":41717,"fk":41718,"Ġlime":41719,"years":41720,"Exc":41721,"Ġsph":41722,"Ġcheating":41723,"andro":41724,"ÃŃo":41725,"Ġprince":41726,"oire":41727,"ĠDestination":41728,"ĠConverts":41729,"Ġupstream":41730,"oled":41731,"Ġservants":41732,"Ġsemantic":41733,"Ġcrunch":41734,"Ġeventual":41735,"runner":41736,"/error":41737,"Spin":41738,"Ġsecretly":41739,"Ġassemble":41740,".Person":41741,"enderror":41742,"_<":41743,"Ġpendant":41744,"Sleep":41745,"ĠChemistry":41746,"Ġbosses":41747,"lk":41748,"))),Ċ":41749,"Blockly":41750,"DEVICE":41751,"Ġreflecting":41752,"Ġample":41753,"Milliseconds":41754,"ĠPresidential":41755,"Ġusuarios":41756,"ĠNZ":41757,"ĠSalary":41758,"ĠAmanda":41759,"_np":41760,"jury":41761,"Ġkön":41762,"Ġtherapist":41763,"Ġhomosexual":41764,"ĠDrake":41765,"-window":41766,"ĠLocated":41767,".Driver":41768,"ĠVIDEO":41769,"Ġmerchants":41770,"ĠChest":41771,"-lock":41772,"/php":41773,"Ġmilano":41774,"_STYLE":41775,"arger":41776,"idea":41777,"GUID":41778,"advanced":41779,"meal":41780,"OptionsItemSelected":41781,"='%":41782,"ĠCham":41783,":data":41784,"(stat":41785,"WillAppear":41786,"Ġinformal":41787,"aji":41788,"Ġreproductive":41789,"ĠCAS":41790,"ãģ£":41791,"FUNC":41792,"ĠRuth":41793,")+(":41794,"CONST":41795,"ĠFans":41796,"ĠgroupId":41797,"xffffffff":41798,"Ġsampler":41799,"Ġ}}\">":41800,".the":41801,"Ġhollow":41802,"WAY":41803,"ĠFaculty":41804,"AttributedString":41805,"ĠLooks":41806,"ĠRex":41807,"jk":41808,"ĠMIL":41809,"Ġbard":41810,".Long":41811,"Ġlivest":41812,"Ġskal":41813,"icism":41814,"MAIN":41815,"Ġmucho":41816,"BODY":41817,"Ġese":41818,"ĉuse":41819,"Foot":41820,".SQLException":41821,"Ġinheritance":41822,"received":41823,"Ġputas":41824,"edis":41825,"alsa":41826,"ĠErrorMessage":41827,"Booking":41828,"Ġtract":41829,"acz":41830,"ĠCant":41831,"_regex":41832,"Ġideological":41833,"Ġjihad":41834,"hos":41835,"/sys":41836,"colm":41837,"(pool":41838,"Ġestán":41839,"ĠPending":41840,"emás":41841,"Ġktóry":41842,"));ĊĊĊ":41843,"transactions":41844,"Ġwield":41845,"itere":41846,"erture":41847,"_ss":41848,"Ġstretching":41849,"Ġprisoner":41850,".ReadAll":41851,"Ġbesch":41852,"--;čĊ":41853,"Ġcrisp":41854,"_SCAN":41855,"Ġae":41856,"Strict":41857,"ĠMinneapolis":41858,"ĠBoeing":41859,"aris":41860,"rek":41861,"_pipe":41862,"Ġpriests":41863,"(EIF":41864,"ehicles":41865,"ĠInteractive":41866,"between":41867,"ĉNullCheck":41868,"ĠBlair":41869,"ĠLt":41870,"_inline":41871,"ethyl":41872,"¼":41873,"_packages":41874,"Ġbarrels":41875,"_he":41876,"Ġregexp":41877,"_pts":41878,"_Handler":41879,"ingular":41880,"ĠNissan":41881,"ĠRanch":41882,"Ġperch":41883,"Unsupported":41884,"Smith":41885,"ĠLegends":41886,"Mi":41887,"Ġgf":41888,"steder":41889,"Ġacquiring":41890,"Ġsimulator":41891,"(),\"":41892,"receive":41893,"Ġinplace":41894,"ACTION":41895,"ĠWebDriver":41896,"filesystem":41897,"'+Ċ":41909,"Ġcredible":41910,"amat":41911,"playing":41912,".setImageResource":41913,"quel":41914,"Ġpodr":41915,"geom":41916,"Ek":41917,"ĠQatar":41918,"Ġgeld":41919,"?',Ċ":41920,"Ġcyl":41921,"(ax":41922,"ĠWI":41923,"urally":41924,"ĠBrasil":41925,"Ġsenza":41926,"aley":41927,"onen":41928,"Ġbah":41929,"Ġmolecule":41930,"Rad":41931,"è¿°":41932,"ANCH":41933,"-background":41934,"-agent":41935,"Ġprolifer":41936,":boolean":41937,"Ġtide":41938,"erializer":41939,"_;čĊ":41940,"Fee":41941,"**)":41942,"ergy":41943,"ĠHonor":41944,".Logging":41945,"iris":41946,"Ġundermine":41947,"ĠDy":41948,"Ġtyr":41949,"Ġdeque":41950,"Ġdamer":41951,"([])Ċ":41952,".layoutControlItem":41953,"peated":41954,"CAN":41955,"ragments":41956,"Land":41957,")]);Ċ":41958,"ĠSah":41959,"ĠDECL":41960,"Within":41961,"ĠNamespace":41962,"another":41963,"sembling":41964,".describe":41965,"Consum":41966,"ĠFear":41967,"given":41968,"Orange":41969,"This":41993,"ĠdataIndex":41994,"Ġprintable":41995,"ĠEyes":41996,"_targets":41997,"(Py":41998,".over":41999,"Ġbru":42000,"ampton":42001,"Ġplaintiff":42002,");Ċ":42013,"invest":42014,".*ĊĊ":42015,"Ġtélé":42016,"Ġsuperf":42017,"Ġcascade":42018,"DTD":42019,"Ġvivid":42020,"Ġsubsidies":42021,"ĠHass":42022,"Ġcollaps":42023,"Ġceramic":42024,"{}\".":42025,"ĠLeakage":42026,"-trash":42027,"collapsed":42028,"-social":42029,"ĠChad":42030,"Ġinclined":42031,"Ġsto":42032,"Ġstoryboard":42033,".payment":42034,"stackoverflow":42035,"ĠRaiders":42036,"Ġ#'":42037,"olicies":42038,"ìľ¼ë¡ľ":42039,"emap":42040,"Ġkj":42041,"Ġquota":42042,"ĠGardens":42043,"ë²Ī":42044,"ĠAngels":42045,"Ġoft":42046,"Ġlowercase":42047,"ĠiParam":42048,"Ġcheapest":42049,"unta":42050,"_pkt":42051,"icators":42052,"Ġleurs":42053,"Ġdecreases":42054,"ĉdefine":42055,"PREC":42056,"ammers":42057,"ĠPreparedStatement":42058,"(direction":42059,"Ġcrews":42060,"arked":42061,"ĠMemphis":42062,"ĠSell":42063,"GTK":42064,"Ġmaid":42065,":disable":42066,"éĽĨ":42067,"ĠPf":42068,"Ġalbeit":42069,"openh":42070,"?>\">Ċ":42071,".getSource":42072,"(scale":42073,"Du":42074,"ĠPIL":42075,"_refresh":42076,"Ġbets":42077,"(car":42078,"ĠVon":42079,"|--------------------------------------------------------------------------Ċ":42080,"ĠGrat":42081,"Much":42082,"(Dialog":42083,".stopPropagation":42084,"Ġtek":42085,"Ġexits":42086,"'],$":42087,"ĠphoneNumber":42088,"ucs":42089,"ecimal":42090,"--------------":42091,"inp":42092,".pojo":42093,"Ġcorpus":42094,"Ġpractitioners":42095,".pic":42096,"\"testing":42097,"ĠstringBy":42098,".NotNull":42099,"Ġrang":42100,".Dynamic":42101,"_Render":42102,"аÑĤа":42103,"Waiting":42104,"ĠWik":42105,"Ġoverwhelmed":42106,"%\">":42107,"ĠAE":42108,"}}>Ċ":42109,"uw":42110,"_typ":42111,"Ġbuckets":42112,"Ġgreeting":42113,"Ġlaughter":42114,"Ġantagon":42115,"uggestion":42116,"-email":42117,"ĉtop":42118,"Ġeros":42119,"_tri":42120,"Ġissuing":42121,"Ġhá":42122,"Ġisolate":42123,"Overflow":42124,",E":42125,"Ġnutritional":42126,"ĠAbbott":42127,"Ġnf":42128,".touch":42129,".fetchall":42130,"_zip":42131,"\")}Ċ":42132,"Ġamat":42133,"ĠCisco":42134,"ĠnÃ¥":42135,"PLEX":42136,"Ġsei":42137,"foto":42138,".toJson":42139,"å¤ļ":42140,"ĠKlein":42141,"Ġlibc":42142,"Ġminers":42143,"å¢":42144,"-print":42145,"ĠPride":42146,"Todos":42147,"Ġmasked":42148,"ĠsetData":42149,"Ġtelefon":42150,"Ġunhappy":42151,"ĠTables":42152,"geb":42153,"(debug":42154,"_allowed":42155,"-access":42156,"Ġlogistics":42157,"Ġgems":42158,"ĠMature":42159,"Ġrsp":42160,"ĠAlle":42161,".getBytes":42162,"\\web":42163,"ynchronized":42164,"Paragraph":42165,"Ġthrottle":42166,".sqlite":42167,"consulta":42168,"ĠSeah":42169,"Ce":42170,"Ġsubmar":42171,"ERE":42172,"Vous":42173,"Ġreddit":42174,"Ġsqlalchemy":42175,"-mile":42176,"ocide":42177,"Pour":42178,"}}\">Ċ":42179,"stead":42180,"Ġ@(":42181,"Ġ[])":42182,"ĠAds":42183,"Ġoverload":42184,"ridden":42185,"ĠDesert":42186,"ĠWrap":42187,"ĠPortuguese":42188,"etz":42189,"ĉfirst":42190,"Ġmilestone":42191,"æĹł":42192,"ÑĥÑī":42193,"(success":42194,"\")Ċ":42363,"ĠDollar":42364,"Ġemoji":42365,"Carousel":42366,"-player":42367,"Ġadjusting":42368,"Ġjuga":42369,"allenges":42370,"gene":42371,"(bodyParser":42372,"lopedia":42373,"ĠBehind":42374,"Ġsleeves":42375,"Ġdragging":42376,"ĠChevrolet":42377,"Ġbiz":42378,"ivities":42379,"ĠFrequency":42380,",char":42381,".WHITE":42382,"_preview":42383,")';Ċ":42384,"_ax":42385,"IONS":42386,".cpu":42387,".inputs":42388,"UBE":42389,"_feed":42390,"ĠSupplement":42391,"!).":42392,"esus":42393,"ĠUDP":42394,"Ġmicrophone":42395,"Ġconfirms":42396,".isNotEmpty":42397,"\":\"\",Ċ":42398,"_SCREEN":42399,"ĉexpected":42400,"+-+-+-+-":42401,"ĠHait":42402,"fastcall":42403,"Ġdepict":42404,"vb":42405,"_picture":42406,"ĉdescription":42407,"ĠWife":42408,"uci":42409,"Ġvicious":42410,"ä»ĸ":42411,"ueba":42412,"ĠsetUser":42413,"ãģ¡":42414,"Ġdiving":42415,"Ġopera":42416,"usercontent":42417,"arah":42418,")},":42419,"yun":42420,"velt":42421,"Ġuncovered":42422,"Ġhips":42423,"Ġoscill":42424,"Ġasserting":42425,"ĠXi":42426,".restore":42427,"kea":42428,"Ġspelling":42429,"Ġderive":42430,"abwe":42431,"ĠDow":42432,".setType":42433,"_vs":42434,"Ġcozy":42435,".categories":42436,"Org":42437,"_mgr":42438,"Ġdungeon":42439,"collectionView":42440,"ĠBlank":42441,"acias":42442,"ää":42443,"_cleanup":42444,"_ACTIVITY":42445,"Ġtriangles":42446,".MenuItem":42447,"Ġiphone":42448,"ĠWon":42449,"]]ĊĊ":42450,"ĠComparison":42451,".Doc":42452,"Ġcanonical":42453,"ĠSudan":42454,"'){":42455,"UpInside":42456,"builtin":42457,"ENCY":42458,"xbe":42459,"Ġchuck":42460,"Ġcontradict":42461,"Ġnuestro":42462,"Ġarchitectural":42463,"ĠFib":42464,"Ġcompares":42465,"*k":42466,"Cfg":42467,"çĦ¡":42468,"nten":42469,"Matches":42470,"ĠDOWNLOAD":42471,"_HANDLER":42472,"management":42473,"[S":42474,"ENG":42475,"ÂĢÂ":42476,"fang":42477,"Ġslipped":42478,"ĠLanka":42479,"escaping":42480,"Ġtackles":42481,"ĠPedro":42482,".Prop":42483,".''":42484,".Generated":42485,".NewGuid":42486,"atrigesimal":42487,"illon":42488,"Ġstatistic":42489,"species":42490,"holding":42491,"Drupal":42492,"Ġfundamentally":42493,"Ġbondage":42494,"Ġresolutions":42495,"InlineData":42496,"\\Type":42497,"estion":42498,".wrap":42499,"Ġwarriors":42500,"ĠLOCAL":42501,"Archive":42502,"Ġembraced":42503,"ủ":42504,".Ver":42505,"ĠAffordable":42506,"olesale":42507,"ĠApplied":42508,"ĠConversion":42509,"mega":42510,"_cam":42511,"Ġceremon":42512,"aurus":42513,"ĠVolk":42514,".opens":42515,"/about":42516,"ĠStd":42517,"journal":42518,"()){čĊ":42519,",\"\\":42520,"(Arrays":42521,"ĠDense":42522,"aseña":42523,"änner":42524,"/stat":42525,"userData":42526,"Ġgerman":42527,"Ġtz":42528,"worthy":42529,"FormatException":42530,"pherd":42531,"Ġsmiles":42532,"ĠWhenever":42533,"(adapter":42534,".badlogic":42535,"Ġbriefing":42536,".GridColumn":42537,"-char":42538,"dimension":42539,"ĠCopper":42540,"Ġninth":42541,"Ġ'{{":42542,"Ġrav":42543,"_Table":42544,"Ġderivatives":42545,"ĠRaise":42546,"ĠFut":42547,"armor":42548,"-padding":42549,"Ġremin":42550,"ĉstyle":42551,"ĠMembership":42552,"Ġspreads":42553,"Ġgalleries":42554,"ĠClarke":42555,"Ġconception":42556,"minute":42557,"Ġabusive":42558,"_adj":42559,"Ġterrific":42560,"Ġovert":42561,"ourcing":42562,"Ġentrada":42563,"levels":42564,"Ġcritique":42565,"Ġrespects":42566,"ĠMMA":42567,"iene":42568,"Ġencaps":42569,"ĠRaymond":42570,"Divider":42571,"ivable":42572,"baz":42573,"Ġ@_;Ċ":42574,"ĠClaire":42575,"Ġurging":42576,"CEE":42577,"Ġtransformer":42578,"discord":42579,"ĠJourney":42580,"tos":42581,"Ġcompetitions":42582,"ĠOBJ":42583,"ĠBis":42584,"Ġrelaxation":42585,"idy":42586,"_INSTANCE":42587,"ĠPref":42588,"dados":42589,"iciencies":42590,"ĠMediaQuery":42591,"ĠCube":42592,"ĠStrange":42593,"gpu":42594,"(days":42595,"_InitStruct":42596,"Ġfingerprint":42597,"emat":42598,"ĠGecko":42599,"Ġrails":42600,"ĠLum":42601,"straction":42602,"igung":42603,"(movie":42604,"_dictionary":42605,"_interrupt":42606,"ĠQC":42607,"iked":42608,"appendChild":42609,"recipient":42610,"ré":42611,"Ve":42612,"Ġtowel":42613,".lastIndexOf":42614,"Ġplacebo":42615,"ĠWie":42616,".esp":42617,"(Debug":42618,"operative":42619,"Ġdeceased":42620,"&id":42621,"ĉmutex":42622,"elic":42623,"Ġbapt":42624,"ĉčĊčĊ":42625,"Ġfarther":42626,"Half":42627,".disable":42628,".menuStrip":42629,"leccion":42630,"ĠresultCode":42631,"Ġcans":42632,"-election":42633,"female":42634,"_FIX":42635,"ausible":42636,"ĠPOWER":42637,"Ġreconstruction":42638,"Ġscans":42639,".XtraBars":42640,"âĢĺs":42641,"Removed":42642,"Ġparagraphs":42643,"_margin":42644,"Ġlymph":42645,"Ġbos":42646,"lington":42647,"ĠBaptist":42648,"Ġadvertisements":42649,"ĠManage":42650,"/yyyy":42651,"IOUS":42652,"ENCES":42653,"ĠFiction":42654,"ĉmenu":42655,"ĠFileOutputStream":42656,"ovan":42657,"ĠFeng":42658,"Ġskipping":42659,"getClass":42660,"anni":42661,"Ġrebounds":42662,"Ġpublicity":42663,"Ġingres":42664,"usement":42665,"Ġthoughtful":42666,".Chart":42667,"Ġhatte":42668,"passport":42669,"Ġhooked":42670,"ĠLens":42671,"Ġflagship":42672,"Ġstip":42673,"ĠGEN":42674,"Ġclues":42675,"ipv":42676,"ĠRise":42677,"ĠGew":42678,"tablename":42679,"Ġforemost":42680,"_validate":42681,"_analysis":42682,"olla":42683,"Ġqualifications":42684,"Ġdistributions":42685,"ĠFlower":42686,"Ġtense":42687,"Ġthankful":42688,"Ġclutch":42689,"Ġunified":42690,"roads":42691,"Ġsiti":42692,"Ġstall":42693,"_PRIORITY":42694,"cstdlib":42695,"_USERNAME":42696,".bytes":42697,"?page":42698,"ermalink":42699,"ĠVeget":42700,"/vnd":42701,"-author":42702,".NONE":42703,"ĠConcurrent":42704,"ĠCry":42705,"Ġstarters":42706,"ĠInteraction":42707,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":42708,"ĠLEVEL":42709,"Ell":42710,"ĠcomboBox":42711,"ĠTheresa":42712,"tek":42713,"_Handle":42714,"Ġaby":42715,".gdx":42716,",end":42717,"(Local":42718,"Ol":42719,"knife":42720,"arial":42721,"ĠHoff":42722,"Ġprostituerade":42723,"Doctor":42724,"Instances":42725,".SetValue":42726,"ĉfrom":42727,"Ġluxurious":42728,"Indent":42729,"Allocator":42730,"_DRAW":42731,"(\",\",":42732,"ĠFrances":42733,"ĠgroupBox":42734,"(schema":42735,"Printf":42736,"ORIES":42737,"-gradient":42738,"Ġreput":42739,"arin":42740,"_DONE":42741,"incre":42742,"ignty":42743,"Ġexert":42744,"Ġ-.":42745,"/App":42746,"-through":42747,"Ġdeclining":42748,"Ġdessert":42749,"Ġincumb":42750,"Ġdesignation":42751,".PORT":42752,",strong":42753,"Ġsandbox":42754,"Ġwines":42755,"ĠPav":42756,"$str":42757,"askell":42758,"Ġhö":42759,"ĠPY":42760,"GetInstance":42761,"TextInput":42762,"gameObject":42763,"/events":42764,"createdAt":42765,"ĠlocalVar":42766,"ĠWHITE":42767,"pered":42768,"ilege":42769,"efficient":42770,",color":42771,"cate":42772,"ĠCafe":42773,"Ġsimilarities":42774,"Ġpumps":42775,"ĠHungary":42776,".Username":42777,"Ġskate":42778,"Ġtouchdowns":42779,"Ġaccelerate":42780,"ĠHelen":42781,"OMEM":42782,"ĠKun":42783,"_vol":42784,"ĠfindAll":42785,"ĠMenschen":42786,"ahead":42787,");\"":42788,"kommen":42789,"Ġpossessed":42790,".argmax":42791,".transition":42792,"ARP":42793,"OLUME":42794,"(script":42795,"ĠÐĺ":42796,"ĠFinding":42797,"onces":42798,"Io":42799,"Bold":42800,"Ġrenewal":42801,"_DIALOG":42802,"Ġdisreg":42803,"INTERN":42804,"Ġtoute":42805,"Ġelectr":42806,"ĠGross":42807,"ĉtrue":42808,".Fields":42809,"ĠWIDTH":42810,"ĠDent":42811,"ĠÃģ":42812,"NSNotification":42813,"Ġaos":42814,"Ġmelee":42815,".Validation":42816,"ĠDEC":42817,"-dependent":42818,"Ġsuic":42819,"Traits":42820,"$message":42821,"ĠDear":42822,"ĉFILE":42823,"languages":42824,".Prot":42825,".addr":42826,"-generation":42827,"ICON":42828,"Ġtransplant":42829,"-description":42830,"Ġchasing":42831,"Ġchees":42832,"Ġ}*/Ċ":42833,"Trad":42834,"queries":42835,"/widgets":42836,"subpackage":42837,"Ġespec":42838,"Ġcracked":42839,"Ġcompetitor":42840,"Purchase":42841,"-team":42842,"olecular":42843,"orThunk":42844,"&P":42845,"Ġrelent":42846,"/#{":42847,"ĠproductId":42848,"Ġè¾":42849,"ĠLav":42850,"ĠAlter":42851,".Mode":42852,"ADIO":42853,"grp":42854,"æ·»åĬł":42855,"Quit":42856,"Ġdepths":42857,"-category":42858,"ĠDATABASE":42859,"SPELL":42860,"ĠFalcon":42861,"ĠQStringList":42862,"Ġ''.":42863,"ĠInstitution":42864,"damage":42865,"azor":42866,"belongsTo":42867,"verages":42868,"ĠNONE":42869,"ippets":42870,",\\Ċ":42871,"Ġfootprint":42872,"_archive":42873,"nak":42874,".getField":42875,"ĠReflection":42876,"Ġ']":42877,"ĠHBO":42878,"_discount":42879,"Ġincest":42880,"ĠDodge":42881,"ĠWade":42882,".NO":42883,"\"encoding":42884,"ĠBlockchain":42885,"Ġlawsuits":42886,"ĠMaint":42887,"chten":42888,"Ġétait":42889,"Ġktóre":42890,"_ctl":42891,"(timer":42892,"Battle":42893,"izo":42894,"ayed":42895,"IOR":42896,"ĠGlasgow":42897,"Ġsynth":42898,"_logs":42899,".pose":42900,"_AdjustorThunk":42901,"((&":42902,"Ġunsure":42903,"ystate":42904,"íķĺëĬĶ":42905,"OULD":42906,".ng":42907,"Ġdefaultdict":42908,"workspace":42909,"Ġselective":42910,"PickerController":42911,"YNAMIC":42912,".methods":42913,"Ġpathways":42914,"ĠFew":42915,"KG":42916,"CRYPT":42917,"following":42918,"ĠDLC":42919,"ĠSara":42920,"Ġpreset":42921,"estructor":42922,"ĠKurt":42923,"Ġairplane":42924,"Ġomp":42925,"ĠParents":42926,"ĠMartinez":42927,".complete":42928,"Ġbroadly":42929,"Ġscare":42930,"ĠMé":42931,"Ġelimination":42932,"Ġpoured":42933,"/sw":42934,"Ġcomun":42935,"Ġmasc":42936,"ĠOrganic":42937,"ĠStringUtils":42938,"ilateral":42939,"Ġreluctant":42940,"-age":42941,"Ġnz":42942,".\"\\":42943,"Ġpastor":42944,"alez":42945,"Ġefect":42946,"prov":42947,"/init":42948,"Ġpenn":42949,"unds":42950,"Ġssize":42951,"ĠProj":42952,"basename":42953,"Ġshells":42954,"ĠNeck":42955,"ĠEnforcement":42956,"vided":42957,"stown":42958,"Sphere":42959,"$r":42960,"ussen":42961,"afil":42962,"ĠTelegram":42963,"Ġanalytical":42964,"нÑĭе":42965,"usually":42966,"xn":42967,"Ġhistorian":42968,"ĠGregory":42969,"olph":42970,"ĠUna":42971,"Ġcontributes":42972,"%-":42973,"antiago":42974,"ÑĢед":42975,".region":42976,"Ġabrupt":42977,"ĠUnsupportedOperationException":42978,"ĠTASK":42979,"_finish":42980,"Ġnotorious":42981,"ĠVs":42982,"ĠMQ":42983,"Ġsunset":42984,"Ġunacceptable":42985,"arcer":42986,"Ġillumin":42987,"ĠOrb":42988,"Ġbh":42989,"Este":42990,"_dispatch":42991,"Ġripped":42992,"Ġtoujours":42993,"ĠParcel":42994,"_ll":42995,".userName":42996,".classes":42997,"SOURCE":42998,"(Number":42999,"елÑı":43000,"Ġheadphones":43001,"(side":43002,"constitution":43003,"annah":43004,"čĊĠĠĠĠĠĠĠĠčĊ":43005,"Ġcliff":43006,"-ref":43007,"Ġmostrar":43008,"ĠPowell":43009,"+y":43010,"ĠBG":43011,"_fragment":43012,".Port":43013,"Ġrealizing":43014,"paramref":43015,"Ġhometown":43016,"@Table":43017,"+\"--}}Ċ":43196,"French":43197,"EntityManager":43198,"ĠPlain":43199,"////////////////////////////////////////////////////////////////////":43200,"³":43201,"(RE":43202,"capt":43203,"Ġorganisms":43204,"Ġjets":43205,"olocation":43206,"ĠAppRoutingModule":43207,"Ġglorious":43208,"æľį":43209,"Ġdiscarded":43210,"ĉĉĉĉĠĠĠĠĠ":43211,"ĠArnold":43212,"lug":43213,"Ġparl":43214,"Ġhormones":43215,"Ġmah":43216,"ĠSonic":43217,"Ġorganizers":43218,"_PLATFORM":43219,".inv":43220,"Ġchord":43221,"ventional":43222,"ĉof":43223,"Episode":43224,".Enum":43225,"unkt":43226,"ĠDh":43227,"ĠJared":43228,"ĠNak":43229,"Ġintends":43230,"Endian":43231,"Ġaustralia":43232,"_cv":43233,"(resolve":43234,"Ġclinics":43235,"liked":43236,"ASHINGTON":43237,"inha":43238,"'*":43239,"ĠNP":43240,"_beh":43241,"Ġhf":43242,"Ġwür":43243,"categoria":43244,"$form":43245,"Ġsubway":43246,"ĠisActive":43247,"popular":43248,"Cour":43249,"Ġcooldown":43250,"Ġainsi":43251,"ĠGLuint":43252,"ereal":43253,"ĠarrayOf":43254,"Ġhatch":43255,"==========":43256,"resses":43257,"_PP":43258,".^":43259,"_decay":43260,"ĠBless":43261,"metrics":43262,"ĠCOPYING":43263,"ĠDumpster":43264,"ĠJosé":43265,"ĠDesigns":43266,"<":43269,"Ġ\"}Ċ":43270,"timezone":43271,"Ġeer":43272,"maxcdn":43273,"ĠESC":43274,"igaret":43275,"_connected":43276,"_reverse":43277,"Ġquestionable":43278,"ĠUSC":43279,"Ġtutti":43280,"Ġdropout":43281,"ĠActivities":43282,"ĠWinds":43283,"')));Ċ":43284,"Ġcongest":43285,"ģı":43286,"Ġprolonged":43287,"è¿Ļ":43288,"ĠCrossAxisAlignment":43289,"LEEP":43290,"ĠVALID":43291,"ĠGaz":43292,"Ġdependence":43293,"ĠPrix":43294,".CompilerServices":43295,"jump":43296,"Ġstrat":43297,"circ":43298,"ĠCUSTOM":43299,"xaa":43300,"Ġbmp":43301,"Ġbureau":43302,"Ġwaren":43303,"NX":43304,"(Window":43305,"ĠChristie":43306,"_FE":43307,"Ġtn":43308,"ĠOmega":43309,"communications":43310,"HomePage":43311,"completion":43312,"Ġsupplying":43313,"YPES":43314,"ável":43315,"åĪ¶":43316,"(click":43317,"\\Contracts":43318,"/questions":43319,"Ġez":43320,"AMS":43321,".mesh":43322,"Ġ'\\Ċ":43373,"Robot":43374,"JsonObject":43375,"ĠDF":43376,"ĠProcessor":43377,"_should":43378,".protobuf":43379,"-users":43380,"Ġembry":43381,"FONT":43382,"Ġstartups":43383,"ĠDataSource":43384,")#":43385,"uros":43386,"_Color":43387,"Ġstandalone":43388,"}[":43389,"jd":43390,"Ġforgive":43391,"Ġngx":43392,"ĠGenerally":43393,"Ġconfigurable":43394,"/order":43395,"Ġvas":43396,"')\";Ċ":43397,"ĠRR":43398,"ĠTroy":43399,"Ġcompromised":43400,"ĠSwan":43401,"intendent":43402,"Central":43403,"_keeper":43404,"Ġarquivo":43405,"ĠReadOnly":43406,"_curve":43407,"kv":43408,"entin":43409,"è±":43410,"ĠEy":43411,".imread":43412,"ĠPam":43413,"iffe":43414,"ativity":43415,"xbc":43416,"Ġgrim":43417,"-filled":43418,"namese":43419,"']:":43420,"Ġaur":43421,"ĠGibson":43422,".MouseEvent":43423,"Ġlado":43424,"avadoc":43425,"Ġfamil":43426,"ĠModer":43427,"fps":43428,"ãĢĢãĢĢ":43429,"-example":43430,"ĠAlzheimer":43431,"ĠUtf":43432,"_arguments":43433,"Conclusion":43434,"textContent":43435,"remaining":43436,"Ġinterrupts":43437,"ĠBackup":43438,"ĠMong":43439,"Ġreceptors":43440,"histor":43441,".coroutines":43442,"Ġshouted":43443,"Alarm":43444,"Ġcombust":43445,"Ġgrote":43446,"ultural":43447,"(ids":43448,"--------------------------------------------------------------------------------":43449,"iplinary":43450,"Opts":43451,"ĠYale":43452,"localStorage":43453,"Ġequival":43454,"ĠFleet":43455,"\\b":43456,"*pi":43457,"ĠQLabel":43458,"æ¡":43459,"Ġvx":43460,"ĠACL":43461,"Ġsucesso":43462,"Ġperc":43463,"ĠNotre":43464,"Ġanarch":43465,"Ring":43466,"spb":43467,"Ġstrpos":43468,"stores":43469,"ĠMaple":43470,"(MainActivity":43471,"(\"\"))":43472,"ĠviewHolder":43473,"Quad":43474,"Ġigual":43475,"orsche":43476,".margin":43477,"Ġindie":43478,"Ġfranc":43479,"ĠFormBuilder":43480,"ĠParticip":43481,".flash":43482,"Ġstorms":43483,"Ult":43484,"Ġfen":43485,"[new":43486,"Ever":43487,"=\"Ċ":43488,"Ġlocalized":43489,"_follow":43490,"Ġnave":43491,"Ġdominance":43492,"(tile":43493,"Journal":43494,"ĠVC":43495,"Ġpenetration":43496,"ï¼ķ":43497,"Ġcompartment":43498,"Ġbids":43499,"Formatted":43500,"******/ĊĊ":43501,"(city":43502,"âĢĶit":43503,"[C":43504,"ĠuseCallback":43505,"aub":43506,")?.":43507,"ĠVAR":43508,"ĠSebastian":43509,"ĠMoss":43510,"Ġabundant":43511,"Greg":43512,"ÑĤа":43513,"_ci":43514,"Ġbibli":43515,"CRM":43516,"ĠAttempt":43517,"isme":43518,"dash":43519,"ãĢİ":43520,"_mu":43521,".FormattingEnabled":43522,"Indeed":43523,"-direct":43524,"Ġsucking":43525,"Ġpne":43526,"ocabulary":43527,"ĠPackers":43528,".Navigation":43529,"Ġpied":43530,"cribing":43531,"ĠStuart":43532,".ToDouble":43533,"ĠSecondary":43534,"Saving":43535,"ĠDut":43536,"ĠMadd":43537,"Magic":43538,",H":43539,".documentElement":43540,"ĠBST":43541,"Ġdiffers":43542,"Ġmoreover":43543,"_nd":43544,"SEARCH":43545,"пÑĢав":43546,"æ´":43547,"toMatch":43548,"Ġdecreasing":43549,"-member":43550,"ampus":43551,"(boost":43552,"Daily":43553,"DataGridView":43554,"ĠHttpContext":43555,"Ġhipp":43556,"_workers":43557,"-language":43558,"éĵ":43559,"Ġconsisted":43560,"athing":43561,"ĠMercury":43562,"$content":43563,"Ġpracticed":43564,"ĠModules":43565,"_DAY":43566,"Ġweaknesses":43567,"ĠLodge":43568,"Ġnar":43569,"ĠMate":43570,"Ġjp":43571,"ĠHttpHeaders":43572,"Ġsmo":43573,"ĠTOKEN":43574,"])(":43575,"Ġaqui":43576,"swagen":43577,"Ġsrv":43578,"ĉans":43579,"Around":43580,"ĠManuel":43581,"Ġfictional":43582,"ĠIMG":43583,"Ġ.'":43584,"ĠBerry":43585,"Ġwallpaper":43586,"sexual":43587,"iero":43588,"ĠçļĦ":43589,"ìĨĮ":43590,"BackingField":43591,"ĠAdrian":43592,"BASEPATH":43593,"Ġrepeats":43594,"Ġblues":43595,"Ġunpredict":43596,"_coll":43597,"stacle":43598,"ĠTumblr":43599,"ĠElf":43600,"Ġassurance":43601,"Ġcensus":43602,"ĠIMPORT":43603,"ENDER":43604,"anos":43605,"Ġ=(":43606,"ĠEllis":43607,"\"ĊĊĊĊ":43608,".win":43609,"ĠAbove":43610,"alon":43611,"_tick":43612,"Ġrepresentations":43613,"Ġæķ":43614,"wid":43615,"ĠArms":43616,"Lista":43617,"_failure":43618,"_cm":43619,".FlatAppearance":43620,"Ġthrone":43621,"Patch":43622,"ĠVoy":43623,"engl":43624,"Ġnegotiating":43625,">`":43626,"Ġshoots":43627,"ĠFPS":43628,".Year":43629,"ĠKiss":43630,"ención":43631,"reeting":43632,"FromFile":43633,"Ġresignation":43634,"Ø·":43635,"Ġtwins":43636,"ượ":43637,"Ġgebru":43638,".getContent":43639,".Tree":43640,"ĠEmployees":43641,"ĠFIFA":43642,"Ġcertainty":43643,"(Cl":43644,"Ġtotals":43645,"editable":43646,"à¥Ģ":43647,".Reporting":43648,"Mas":43649,"quiet":43650,".rules":43651,"ĠVO":43652,"conexion":43653,",K":43654,"Ġallocator":43655,"ĠPowder":43656,"\\Repository":43657,"Beat":43658,"_tipo":43659,"Ġ['',":43660,"_INTR":43661,"Ġ<<<":43662,"\");čĊ":43691,"dropIfExists":43692,"ĠBeg":43693,"_HAL":43694,"ĠcrossAxisAlignment":43695,"ĠEvidence":43696,"Ġpeculiar":43697,"Ġinstitute":43698,"veis":43699,"Ġfft":43700,"Ãģ":43701,"Ġzoekt":43702,"analy":43703,"ĠHomeland":43704,"Ġpenetr":43705,"uddenly":43706,"ĉelement":43707,"ĠBren":43708,"ĠTrudeau":43709,"ĠCuban":43710,"jam":43711,"uslim":43712,"_ev":43713,"Ġstems":43714,"}%":43715,"Ŀå§ĭ":43716,"Ġbranding":43717,"Ġcorrespondence":43718,".jquery":43719,"¢åįķ":43720,"ĠReads":43721,"(HttpStatusCode":43722,"assin":43723,"(slot":43724,"ĠGraduate":43725,"///<":43726,"Ġinformations":43727,"ENABLE":43728,"Ġpuis":43729,"Ġfinder":43730,"ĠBris":43731,"Ġnettsteder":43732,"_mid":43733,"Ġogs":43734,"ĠSterling":43735,"Ġarrog":43736,"strftime":43737,"|ĊĊ":43738,"Ġvox":43739,"ĠRegardless":43740,"Ġeso":43741,"ĠComfort":43742,".BooleanField":43743,"Ġuh":43744,"ACY":43745,"Ġsqueez":43746,"ĠVic":43747,"contro":43748,".lo":43749,"Ġire":43750,"ĠComedy":43751,"ë¶":43752,"Ġoriginated":43753,"Ġshipment":43754,"|max":43755,"_guid":43756,"levation":43757,"наÑı":43758,"(undefined":43759,"ĠDDR":43760,"Ġshootings":43761,"ĠLatino":43762,"ENDOR":43763,"Ġaveraging":43764,"Ġgreeted":43765,"Ġtheaters":43766,"ое":43767,"ĠdB":43768,"Ġgst":43769,"Ġdefinite":43770,".Storage":43771,".her":43772,"Ġafore":43773,"ĠReality":43774,"ĠGods":43775,"versed":43776,"Ġhandsome":43777,"Ġexcluding":43778,"(ad":43779,"Quotes":43780,"ĠScheme":43781,"?q":43782,"ĠTamil":43783,"Ticks":43784,"Ġpest":43785,"'n":43786,"Ġpornography":43787,"_modal":43788,"Ġ----------":43789,"Ġdisposable":43790,"FREE":43791,"Ġshark":43792,"CHE":43793,"Ġdepicted":43794,"Ġdemonstrations":43795,"ĠKilled":43796,"ĠRULE":43797,"Ġobsessed":43798,"Ġsimplified":43799,"Postal":43800,"Ġconceptual":43801,"Ġpst":43802,"Las":43803,"_PROJECT":43804,"ucceeded":43805,"olu":43806,"ÄŁi":43807,"Ġpersonalities":43808,"Ġreshape":43809,"Ġenclosed":43810,"ĉptr":43811,"Ġtutorials":43812,"Ġexploded":43813,"_DIRECTORY":43814,"åĨħ容":43815,"Ġcanon":43816,"Ġrecognise":43817,"PAD":43818,"ĠApprox":43819,"ĠRestore":43820,"ĠImportant":43821,"Ġheavier":43822,".Sequential":43823,"Earth":43824,"ĠMilk":43825,".setRequest":43826,".tem":43827,"Ġreconstruct":43828,"Ġskeptical":43829,"_Private":43830,"BUF":43831,"qua":43832,":a":43833,"Ġsek":43834,"Ġdwell":43835,"ossa":43836,"Ġrewarded":43837,"ий":43838,"(topic":43839,"_partition":43840,"Ġ__________________":43841,"Keywords":43842,"ĠFranco":43843,"Lite":43844,"Ġnaken":43845,"Ġза":43846,"OBJECT":43847,"Ġcrafts":43848,"ĠSwap":43849,".Xna":43850,".Connect":43851,"Ġbalcony":43852,"(real":43853,"ĠBarnes":43854,"bir":43855,"ĠTwenty":43856,"ayan":43857,"atars":43858,"ĠPropel":43859,"ĠIhnen":43860,"Upgrade":43861,"Ġcurb":43862,"-second":43863,"Ġneph":43864,".pres":43865,"ìŀħ":43866,".seq":43867,"Ġpadded":43868,"\"?":43869,"jl":43870,"ãĥ¬":43871,"')a":43875,"Coordinates":43876,"Ġenacted":43877,"ENTS":43878,"Ġlac":43879,".final":43880,"ĠPhpStorm":43881,"called":43882,"Ġinquiries":43883,".middleware":43884,"ĠDowntown":43885,"/';Ċ":43886,"Ġkilomet":43887,"accel":43888,"Ġquien":43889,"wstring":43890,"setData":43891,"Ġmanera":43892,"Ġmodular":43893,"rimp":43894,"Ġtariffs":43895,"âĢĻil":43896,"_THROW":43897,"/color":43898,"ĠHTMLElement":43899,"Ġcarro":43900,"Ġprere":43901,"Ġplotting":43902,"ĠPositive":43903,"ĠMachines":43904,"OTES":43905,"Ỽ":43906,"pleasant":43907,"Ġalte":43908,"Ġainda":43909,"these":43910,"Ġcors":43911,"ipay":43912,"ĠAdvisory":43913,"ĠRubio":43914,"jq":43915,"Ġlimestone":43916,"Ġdetached":43917,"设置":43918,"tenant":43919,"ĠDepth":43920,"alore":43921,"ĠÑģÑĤÑĢок":43922,"ĠFORE":43923,"ĠLay":43924,"presentation":43925,")');Ċ":43926,".subplots":43927,"Ïĥ":43928,"NOW":43929,"Gar":43930,"handles":43931,"abra":43932,"puties":43933,"ĠElectrical":43934,"Middle":43935,"ropic":43936,"ĠJD":43937,"ĠDyn":43938,"ĠBristol":43939,"ĠMcCarthy":43940,"Ġstriker":43941,"Ġenumerable":43942,"ĠEvan":43943,".defaults":43944,"quences":43945,")||":43946,"ĉtoken":43947,"âĹı":43948,"-dropdown":43949,"STORE":43950,"ĠGraphic":43951,"(pp":43952,"Expl":43953,"Ġupwards":43954,"ĠDistributed":43955,"ĠWEB":43956,"Jer":43957,"isNaN":43958,"çĶŁæĪIJ":43959,">R":43960,"üssen":43961,"efs":43962,"Ġuncover":43963,"Ġlud":43964,".calculate":43965,"Ġintptr":43966,"Ġmidfielder":43967,".Headers":43968,"Ġmf":43969,"eref":43970,".Metro":43971,"ĠSpeaking":43972,":b":43973,"Ġcryptocurrencies":43974,"Ġdemons":43975,"ĉEXPECT":43976,"Ġwicked":43977,"youtube":43978,":Int":43979,"ĠHindi":43980,"ĠCAT":43981,"Ġع":43982,"rar":43983,"omore":43984,"/per":43985,"/license":43986,"Ġreim":43987,"Ġawaiting":43988,"Ġlethal":43989,"ĠEF":43990,"rounded":43991,"ĠPlatinum":43992,"ĠвÑģе":43993,".coords":43994,".Device":43995,"/item":43996,"ĠWenn":43997,"compileComponents":43998,"ĠKinder":43999,".removeItem":44000,"Ġanda":44001,"bnb":44002,"Ġpra":44003,"(transaction":44004,"Ġembarrassing":44005,"ĉBOOL":44006,".contentView":44007,"Ġeventdata":44008,"atore":44009,"ĠprovidedIn":44010,"irma":44011,"Ġzona":44012,"_HW":44013,"æĻ":44014,"Ġstove":44015,"Ġcounterpart":44016,"_Product":44017,"_MANAGER":44018,"Ġinfring":44019,"ĠERA":44020,"_party":44021,"Ñij":44022,"Ġinici":44023,"_Request":44024,"Ġmiracle":44025,"ĠcancelButton":44026,"Spy":44027,"ató":44028,"Ġpolish":44029,"ĠNicole":44030,".displayName":44031,"\\Requests":44032,"ĠuseHistory":44033,"RouterModule":44034,"Ġstared":44035,"IDER":44036,"ÑĥнкÑĨи":44037,"Ġnota":44038,"$arr":44039,"pecified":44040,"Ġtopp":44041,"_DRIVER":44042,"/ng":44043,"åł":44044,"_tm":44045,"%timeout":44046,"\"":44488,"tlement":44489,"$(\"":44490,"FromString":44491,"ĠBild":44492,"Ġconventions":44493,"_native":44494,"ĠInspector":44495,"ĠPist":44496,"ubar":44497,"Ġregs":44498,"ĠPilot":44499,"Thus":44500,">'+":44501,"Ġcela":44502,".news":44503,"(Product":44504,"Living":44505,"Russia":44506,"Ġfacet":44507,"etical":44508,"Ġ['$":44509,"/[":44510,"ĠDire":44511,"Ġgases":44512,"ĠINFORMATION":44513,"ĠEat":44514,"ĠForums":44515,"ĠCharacters":44516,"_met":44517,"Ġìĭľ":44518,"Ġkings":44519,"achie":44520,"ĠLambda":44521,"Ġtimers":44522,"ĠLighting":44523,"ĠCasey":44524,"addir":44525,"andex":44526,".answer":44527,"ĠHip":44528,"ĠPrincip":44529,"StartDate":44530,"ĠãĢĮ":44531,"tres":44532,"Ġ&#":44533,".MaxValue":44534,"ĠProblems":44535,"Ġlatex":44536,"OfClass":44537,"ĠLynn":44538,"//'":44539,"Ġvoyage":44540,"Ġshuttle":44541,"ĠRoller":44542,"ĠRuntimeError":44543,"uya":44544,"Dic":44545,"ĉbuilder":44546,"Ġbullying":44547,"Ġsimplest":44548,".called":44549,"ĠLR":44550,"Ġmorality":44551,"Ġsturdy":44552,"tracking":44553,".swagger":44554,"_BIND":44555,"ITOR":44556,"-urlencoded":44557,"ĠÑħ":44558,"ĠTrinity":44559,"Ġtraps":44560,"Ġ|-":44561,"ĠsetText":44562,"Ġbargain":44563,"Ġbrakes":44564,".getCode":44565,"Ġmigrate":44566,"Ġribbon":44567,")return":44568,"Ġcharger":44569,"acom":44570,"ADIUS":44571,"ĠAmbassador":44572,"-after":44573,"Ġanni":44574,"ĉspin":44575,"Concept":44576,"ĠHenderson":44577,"ĠHOST":44578,".rank":44579,"ĠNortheast":44580,"Ġberlin":44581,"Ġrequis":44582,".feed":44583,"ĠsourceMapping":44584,"ĠRencontre":44585,".ajax":44586,"nestjs":44587,"Ġtrek":44588,"ĠNacional":44589,"Ġ&[":44590,"Ġpayable":44591,"ortex":44592,"Ġdept":44593,"fieldName":44594,"Ġcompletes":44595,"ĠRVA":44596,"Ġonions":44597,"alignment":44598,"Formats":44599,"Ġ'{$":44600,"HashSet":44601,"ĠBod":44602,".InvariantCulture":44603,"Ġsettlements":44604,"Ġhydr":44605,".updated":44606,"venth":44607,"(seconds":44608,"=\"/\"":44609,"Ġwebpage":44610,"(ĊĊ":44611,"Ġtir":44612,"Ġtoes":44613,"ĠBrick":44614,"Ġambition":44615,"Pot":44616,"=max":44617,"ETIME":44618,"Ġdepot":44619,"calls":44620,"ĠNorwegian":44621,"`:":44622,"Ġburger":44623,"Ġprofessors":44624,"ĠAllocate":44625,"-thirds":44626,"-chart":44627,"Ġford":44628,"*N":44629,".kotlin":44630,"Ġpaperwork":44631,"ĠDEVICE":44632,"%@\",":44633,"respect":44634,"(mp":44635,"é«ĺ":44636,"-if":44637,"Ġcushion":44638,"obot":44639,"Ġparc":44640,"SPACE":44641,"ĠNetanyahu":44642,"Ġselfish":44643,"feat":44644,"Ġclientes":44645,"-tools":44646,"Ġporch":44647,"Ġjq":44648,".verbose":44649,"Ġliberals":44650,"])ĊĊĊ":44651,"pies":44652,"NotBlank":44653,"(term":44654,"ÈĽi":44655,"_Params":44656,".normalize":44657,"Bullet":44658,"ASIC":44659,"(hex":44660,"_cliente":44661,"+,":44662,"_DI":44663,"Ġforthcoming":44664,"}\")]Ċ":44665,"seo":44666,"Um":44667,">Name":44668,"Ġcomfortably":44669,"irectional":44670,"WITH":44671,"/pr":44672,"ĠPoor":44673,"ĠVitamin":44674,"vic":44675,"GH":44676,"Ġpriorit":44677,"ĠNN":44678,"ĠClosed":44679,"¤í":44680,"ĠisOpen":44681,"\\Console":44682,"AndFeel":44683,".SUCCESS":44684,"_OPERATION":44685,"polation":44686,"ĠTas":44687,"psz":44688,">'.":44689,"CURRENT":44690,"Vendor":44691,"hosts":44692,"ĠErd":44693,">tagger":44694,"ĠsourceMappingURL":44695,"Ġmarathon":44696,"_closed":44697,"Ġexemption":44698,"Ġrecognizes":44699,"ideshow":44700,"'$":44701,"('/');Ċ":44702,"mits":44703,"warz":44704,"ĠCherry":44705,"µ¬":44706,"nor":44707,"porte":44708,"Ġwl":44709,"_backup":44710,".getBoolean":44711,".getResource":44712,"Ġdefinitive":44713,".EditText":44714,"ĠsÃŃ":44715,".CONT":44716,"ĠPLAYER":44717,".cards":44718,"ĠShore":44719,"('/')Ċ":44720,"cluir":44721,"WebDriver":44722,"(month":44723,"-release":44724,"Ġinspector":44725,"å£":44726,"ĠNF":44727,"_clip":44728,"åŃIJ":44729,"Ġinteracting":44730,".tmp":44731,"Ġ'''ĊĊ":44732,"Ġdee":44733,"Ġfrost":44734,"\"]))Ċ":44735,"ĠPlaces":44736,"Throws":44737,"fork":44738,"/day":44739,"iPhone":44740,"ĠMIC":44741,"Ġfolding":44742,"Ġcrore":44743,"ĠChiefs":44744,"pherical":44745,"(price":44746,".WriteString":44747,"Ġexiting":44748,"]',Ċ":44749,"ighting":44750,"Ingredient":44751,"(vertex":44752,"ĠscrollView":44753,"hf":44754,":new":44755,"SEN":44756,"sector":44757,"Ġspins":44758,"ĠScheduler":44759,"otechn":44760,"semicolon":44761,"FontOfSize":44762,"ĠSpecifically":44763,"flamm":44764,".ObjectId":44765,"Ġconta":44766,"_permissions":44767,"ĉFROM":44768,"ICODE":44769,"/kg":44770,"ĠHotels":44771,"-med":44772,"ĠDin":44773,"Ġnavy":44774,"getParam":44775,"Ġmend":44776,"Ġportrayed":44777,"ĠMetropolitan":44778,"Painter":44779,"Ġreferral":44780,"_good":44781,"Ġmarvel":44782,"osaic":44783,">(&":44784,".ur":44785,"Ġestos":44786,"William":44787,"Ġtimber":44788,"Ġquelques":44789,"ĠDocuments":44790,".Xaml":44791,"Ġbatches":44792,"éģĵ":44793,"ĠReleased":44794,"Tail":44795,"COOKIE":44796,"heid":44797,"_station":44798,"ĠVia":44799,"Sale":44800,"ĠRepeat":44801,"Ġpromin":44802,"ĠZo":44803,"-forward":44804,"ĠIon":44805,"itary":44806,"Ġjus":44807,"-request":44808,"Ġproudly":44809,"ĠStreaming":44810,"(MouseEvent":44811,"ĠSprint":44812,"_rotation":44813,"Repositories":44814,"Ġtart":44815,"ĠÑģв":44816,"Ġmappings":44817,"èª":44818,"Cu":44819,"Cycle":44820,"Ġbun":44821,"ĉlua":44822,"ãĥī":44823,"Ġ((!":44824,"Ġcollectively":44825,"ĠCond":44826,"Ġwszyst":44827,"(lib":44828,"openhagen":44829,"_skip":44830,".ColumnHeader":44831,"éĤ":44832,"perienced":44833,"ıè¿°":44834,"_props":44835,"Ġcontrace":44836,"Ġmatchup":44837,"abetic":44838,".members":44839,"RECT":44840,"(dat":44841,"Ġsog":44842,"renom":44843,"_Method":44844,"Customers":44845,"fullname":44846,"ZN":44847,"retry":44848,"Ġkap":44849,"ĠNeu":44850,"èĬ":44851,"addChild":44852,"willReturn":44853,"_permalink":44854,"Ġenergetic":44855,"ĠWet":44856,"ĠMorr":44857,"Ġgcd":44858,"counts":44859,",type":44860,"dig":44861,"(Login":44862,"Ġcracks":44863,"Ġbacterial":44864,"ĠMeat":44865,"ĠArmstrong":44866,"ĠBronze":44867,"Ġapproximate":44868,"_dirs":44869,"liga":44870,"ÅĤad":44871,"Ġkindness":44872,"Ġcontre":44873,"ĠEVERY":44874,"MET":44875,"Ġannouncements":44876,"gpio":44877,"ĠWaitForSeconds":44878,"ĠPhotoshop":44879,"Ġdiscontin":44880,"/dd":44881,"Ġtopology":44882,"anical":44883,".interface":44884,"aucoup":44885,".HashSet":44886,"ARIANT":44887,"(routes":44888,"ĠTeh":44889,"Ġhype":44890,"]\").":44891,"Ġslam":44892,"Ġbroth":44893,"-inter":44894,"ĠRid":44895,"-manager":44896,"Cancelar":44897,"ĠPagination":44898,"Ġsoundtrack":44899,"Ġposterior":44900,"Ġscrub":44901,"creating":44902,"-*":44903,"irteen":44904,".dy":44905,".symmetric":44906,"Ġ\"\".":44907,"===============":44908,"Ġchassis":44909,"ĠnumberOfRows":44910,"Developer":44911,"_bins":44912,"ĠOUR":44913,"rieb":44914,"Pros":44915,"ĠwiÄĻ":44916,"\"d":44917,"Ġasyncio":44918,"zeigen":44919,"_spi":44920,".ALL":44921,"Ġscrews":44922,"Chinese":44923,"ĠapiKey":44924,"Ġunsuccessful":44925,"ĠSeahawks":44926,"ORG":44927,"ç«ł":44928,"Ġprofessionally":44929,"ĠCoupon":44930,"åŃĹ段":44931,"Convention":44932,"Ġpolym":44933,"æīĭ":44934,"Ġsalvation":44935,"Ġengineered":44936,"ĠWrest":44937,"ĠGCC":44938,"Ġwarmer":44939,"LayoutConstraint":44940,"Ġaggrav":44941,"Scripts":44942,"venture":44943,"Ġrefrigerator":44944,"Ġinnovations":44945,"ĠRunner":44946,"NIC":44947,"ĠRolling":44948,"ControlEvents":44949,"Ġloos":44950,"pac":44951,"ĉpanel":44952,"efe":44953,"ĠBuddha":44954,"--------------Ċ":44955,"åºĵ":44956,"(forKey":44957,"Ġlumin":44958,"Ġ(?":44959,"ĠAIDS":44960,",user":44961,"imientos":44962,"contentType":44963,"antlr":44964,"é¦":44965,"ĠWelt":44966,"Production":44967,"might":44968,"ĠVII":44969,"\",(":44970,"Ġobserving":44971,"Ġdeliberate":44972,"(control":44973,"Ġwithd":44974,"Ġsemana":44975,"STACK":44976,"uchen":44977,"Nice":44978,"ĠDeutschland":44979,"ĠSpecifies":44980,"dma":44981,"izio":44982,"ĠFacts":44983,"_popup":44984,"ĠDirectors":44985,"{:":44986,"[R":44987,"ĠÑįлеменÑĤ":44988,"Ġplat":44989,"Ġdirecting":44990,"ä¸ī":44991,"ĠGilbert":44992,"âĢ¦.ĊĊ":44993,".qml":44994,"Ġthereafter":44995,"Ġdisposition":44996,"draft":44997,"Ġsurgeon":44998,"ĠInsider":44999,"Blend":45000,"ĠTrev":45001,"trinsic":45002,"Topics":45003,"rieve":45004,"_FILENAME":45005,"Ġautres":45006,"Jose":45007,"Producer":45008,"erus":45009,"Ġpetit":45010,"ĠNEXT":45011,"ĠFilters":45012,"Ġreplicate":45013,"\"]).":45014,"Ġlenders":45015,"]\",Ċ":45016,";charset":45017,"CppObject":45018,"Ġfloral":45019,"ĠTipo":45020,"Ġcircuits":45021,"easy":45022,"(&$":45023,"itta":45024,"eryl":45025,"_COMMON":45026,"'}}>Ċ":45027,"-backed":45028,"(variable":45029,"(Index":45030,"Ġvoir":45031,"_locations":45032,"++){":45033,"ĠLouisville":45034,"Ġgratitude":45035,".Mockito":45036,"ĠPowers":45037,"ieurs":45038,"Ġgeographic":45039,"rale":45040,"Ġcra":45041,"ĠSpurs":45042,"iphertext":45043,"ACION":45044,"-common":45045,"Ġvictories":45046,"ĠFinals":45047,".shuffle":45048,"-million":45049,"_PROC":45050,"assume":45051,"Ġils":45052,"DBC":45053,"BootTest":45054,"Ġlavor":45055,".testing":45056,".ast":45057,"\"]/":45058,"moid":45059,"Ġqualification":45060,"gesch":45061,"ĉput":45062,"Ġairports":45063,"JI":45064,"Teacher":45065,"_uniform":45066,"Ġnama":45067,"ĠBast":45068,"ertype":45069,"capture":45070,"getAll":45071,"ĠReynolds":45072,"ooled":45073,".comments":45074,"Ġchin":45075,").*":45076,"Ġили":45077,"tgl":45078,"udos":45079,"ĠdÃŃas":45080,"chai":45081,".program":45082,"Ġpsz":45083,"ĉicon":45084,"phil":45085,"entral":45086,"_WRAP":45087,"ovi":45088,"Ġnostalg":45089,"Infinity":45090,"ĉyield":45091,"Ġvitamins":45092,"Quaternion":45093,"Sink":45094,"_goods":45095,"Ġ........":45096,"ĠWings":45097,"uridad":45098,"-story":45099,"\"])ĊĊ":45100,"idelity":45101,"TypeDef":45102,"Gtk":45103,"ĠíĮ":45104,"_Main":45105,"Ġchez":45106,"ĠRaven":45107,"Ġpayroll":45108,"Ġfreelance":45109,"LLU":45110,"ĠMend":45111,"eday":45112,"ApiModelProperty":45113,".FormBorderStyle":45114,"Ġeconomist":45115,"stanbul":45116,"Ġfreight":45117,"-Agent":45118,"(meta":45119,"Ġsymmetry":45120,"Ġ'..":45121,".Calendar":45122,"-aut":45123,"gf":45124,"pent":45125,"yclopedia":45126,"Ġwishing":45127,"ĊĊĊĊĊĊĊĊĊĊĊĊ":45128,"Ġgentleman":45129,"Ġê³":45130,"=#":45131,"Ġlectures":45132,"âĢľIn":45133,"Ġ!_":45134,"Ġhb":45135,"ĠVendor":45136,"Recently":45137,"_notes":45138,"æıIJ示":45139,"\"My":45140,"HeadersHeight":45141,"_SO":45142,"Ġunwilling":45143,"Ġsuperhero":45144,"gio":45145,"psy":45146,"ĠPeer":45147,"javax":45148,"&apos":45149,"ĠCrisis":45150,"ordinal":45151,"Memcpy":45152,"++++++++++++++++":45153,"-val":45154,"Ġworkbook":45155,"-ap":45156,"=k":45157,"Ġmetallic":45158,"_peer":45159,"ByPrimaryKey":45160,"_SD":45161,"uator":45162,"_SHADER":45163,")Math":45164,".Transform":45165,"Ġcows":45166,"Phi":45167,"ĠClem":45168,"(_(\"":45169,"ĠLud":45170,"-delay":45171,"ĠSecurities":45172,"ĠOrthodox":45173,"Symfony":45174,"(report":45175,"Ġentertain":45176,"EPS":45177,"izoph":45178,"exual":45179,"IRD":45180,"ä»İ":45181,"Ġlith":45182,"Ġsanitize":45183,"Ġfeminine":45184,"ISBN":45185,".authentication":45186,"_pipeline":45187,"/constants":45188,"ĠCONF":45189,"Ġlucr":45190,"ricia":45191,".ttf":45192,".setContent":45193,"Ġstan":45194,"orean":45195,"ĠLloyd":45196,".rawValue":45197,"Ġgor":45198,"ĠBrowns":45199,"Regression":45200,"Ġlowering":45201,"naissance":45202,"Ġblows":45203,"Ġamazed":45204,"Ġunrelated":45205,"Reviews":45206,"Ġruby":45207,"ĠModifier":45208,"Ġgiants":45209,".thread":45210,"Ġcontainment":45211,"ĠStartCoroutine":45212,"umat":45213,"orelease":45214,"ĠRandy":45215,"@endif":45216,"Digest":45217,"Ġsuburban":45218,"=\");Ċ":45219,"Ġannonce":45220,".variable":45221,"\\Foundation":45222,"Ġacre":45223,"Van":45224,"Ġtuples":45225,"dns":45226,"ĠStanding":45227,"_large":45228,"Ġboxing":45229,"SupportActionBar":45230,"ĠFortune":45231,"ĠRum":45232,"_multiple":45233,"archical":45234,"Ġfwrite":45235,"_quote":45236,"Ġfoolish":45237,"Ġcomprising":45238,"Ġоп":45239,"-selected":45240,"vf":45241,"maid":45242,"Nama":45243,"(datetime":45244,"Ġindirectly":45245,"gart":45246,"fixtures":45247,"chos":45248,"ĠHalo":45249,"Ġrecurring":45250,"-news":45251,"vil":45252,"ĠNursing":45253,"-produ":45254,"ĠHQ":45255,"\\HttpFoundation":45256,"enci":45257,"auen":45258,"Ġvy":45259,"ocracy":45260,"Ġdelegation":45261,"Ġasphalt":45262,"ĠsetSelected":45263,"kok":45264,"/rest":45265,"metics":45266,"ĠNSDate":45267,"Ġtravelled":45268,"Ġrecib":45269,"Ġmime":45270,"CLIENT":45271,"ĠGU":45272,"ĠHANDLE":45273,"/Q":45274,"[z":45275,"Ġbothered":45276,"ĠBBQ":45277,"ças":45278,"_examples":45279,"_FIN":45280,"ĠwhiteColor":45281,"Ġastronom":45282,"-dir":45283,"Ġsovereign":45284,"Ġbreeze":45285,"Ġinning":45286,"ĠEdmonton":45287,"gli":45288,".blogspot":45289,"jsx":45290,"Ġversa":45291,"ĠMohammed":45292,".Job":45293,"-toggler":45294,"ĠполÑĮзоваÑĤ":45295,"ardon":45296,"Ġnewborn":45297,"Ġnaval":45298,"noteq":45299,"Ġtumblr":45300,"Ġhentai":45301,"ĠTypically":45302,"Ġloot":45303,".Sprite":45304,"Flight":45305,"Ġwavelength":45306,"-sk":45307,"ĠElle":45308,"_exports":45309,"ĠÑı":45310,"ĠIH":45311,"izophren":45312,"Ġíģ":45313,"_primary":45314,"Ġmois":45315,"ĠBN":45316,"Ġsystemic":45317,"Ġdiferentes":45318,"INCT":45319,"Ġ''ĊĊ":45320,"$q":45321,"WidgetItem":45322,"clide":45323,"$file":45324,"Lemma":45325,"/table":45326,"agrid":45327,"ĠMongoDB":45328,"inte":45329,"Ġapprent":45330,"ÂŃing":45331,".Db":45332,"ĠÃĤ":45333,"hammer":45334,"='';Ċ":45335,"Ġbrokers":45336,"itlement":45337,"semblies":45338,"Ele":45339,"{x":45340,"Ġlastname":45341,"<-":45342,"Ġflatten":45343,"_band":45344,".Root":45345,".readFileSync":45346,"======":45347,".rx":45348,"?čĊ":45349,"Ġmetaphor":45350,"Ti":45351,"conte":45352,"Ġdebit":45353,"Ġcontempt":45354,"CppType":45355,"æĶ¯":45356,"FormField":45357,"ratio":45358,"osopher":45359,"Ġimplant":45360,"PURE":45361,"Ġalta":45362,"_management":45363,"Ġrefine":45364,"ĠCheckBox":45365,"ĠCharl":45366,"-version":45367,"conditional":45368,"venues":45369,"Ġrifles":45370,"Ġoffspring":45371,"Ġmilling":45372,"Ġsharply":45373,"Ġunderwater":45374,"(origin":45375,"_Control":45376,"Ġ.$":45377,"Plugins":45378,"Ġdrying":45379,"Ġillustrates":45380,"-u":45381,"Ġvegetarian":45382,"npc":45383,"Heart":45384,";',Ċ":45385,"comma":45386,"teenth":45387,"asan":45388,"/spec":45389,"_moves":45390,"-margin":45391,"Ġingen":45392,"³³³":45393,"Ġprojet":45394,"Ġotra":45395,"Ġbras":45396,".utc":45397,"Ġslept":45398,"=sub":45399,"abilit":45400,"poster":45401,"Ġsdk":45402,"ouncill":45403,"Ġwd":45404,"PreparedStatement":45405,"ĠDrum":45406,"(attribute":45407,"ĠEthernet":45408,"ĉDB":45409,"California":45410,"cube":45411,"[I":45412,".Created":45413,"ĠHM":45414,"Ġtracing":45415,"FormsModule":45416,"-you":45417,".currency":45418,"feeding":45419,"Ġtbody":45420,"Li":45421,"accion":45422,"nas":45423,"Ġtrouver":45424,"NONE":45425,"\"},čĊ":45426,"Ġftp":45427,"WithIdentifier":45428,"polate":45429,"FileInfo":45430,"Ġpursued":45431,"ĠĠĠĠčĊĠĠĠĠčĊ":45432,"DESCRIPTION":45433,"}*/Ċ":45434,"FromNib":45435,"Ġdecorative":45436,"_SSL":45437,"(chat":45438,"TLS":45439,"Ġsurprises":45440,"alculate":45441,"ĠSplash":45442,"(Configuration":45443,"ĠSEM":45444,"imson":45445,"/library":45446,"":45521,"GED":45522,"faq":45523,"Ġoptionally":45524,"_Dis":45525,"ĠSuccessful":45526,"ĠCensus":45527,"Ġincarcer":45528,"_CARD":45529,"Ġaviation":45530,"ĠGym":45531,"Authority":45532,".Bean":45533,"shader":45534,"NotExist":45535,"_TextChanged":45536,"ĠSTOP":45537,"(team":45538,"\"H":45539,"wg":45540,"Ġgrinder":45541,"Ġstripe":45542,"Ġpreservation":45543,"Claim":45544,"aversal":45545,"warehouse":45546,"targets":45547,"Trust":45548,"Ġallev":45549,",www":45550,"ousse":45551,"_chan":45552,"_Size":45553,"systems":45554,"Ġobjection":45555,"ĠKane":45556,"Ġcorros":45557,"ĠDSL":45558,"Ġua":45559,"ĠMH":45560,"ĠStrategic":45561,"_tcp":45562,"Ġê°Ĵ":45563,"Ġborrowed":45564,"ĠAch":45565,"ĉcommand":45566,"Ġgps":45567,"leston":45568,"ichever":45569,"ĠUA":45570,"Ġassaulted":45571,"Ġspecializes":45572,"ĉsearch":45573,"Hotel":45574,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠčĊ":45575,"ĠPitch":45576,"ĠÙģ":45577,"READY":45578,"Ġparental":45579,"Ġgéné":45580,"Ġdonnées":45581,"Ġdetain":45582,"TARGET":45583,"Ġprotagonist":45584,"ĠclearInterval":45585,"ĠIconButton":45586,"ĠGetAll":45587,"TypeInfo":45588,"EH":45589,"âĢľThey":45590,"Ġ{[":45591,"Ġgag":45592,"ĠÚ©":45593,"ĠDropdown":45594,".free":45595,"gone":45596,"imens":45597,"Ġinstal":45598,"ĉcurl":45599,"_CAN":45600,"ĠBone":45601,"ï¼Ķ":45602,"onyms":45603,"-government":45604,".bindingNavigator":45605,"ĠDans":45606,"ĠMcL":45607,"(en":45608,">(_":45609,"ÐĴÑĭ":45610,".*;čĊ":45611,"=j":45612,"-cor":45613,"Son":45614,".ToolStripItem":45615,"-around":45616,"_XML":45617,"endDate":45618,"Ġslack":45619,"Ġrotated":45620,"Ġnoqa":45621,"Ġcottage":45622,"Ġencontrar":45623,"_skill":45624,"houette":45625,"!čĊ":45626,".weather":45627,"Ġemphasized":45628,"家":45629,"ĠÑģпиÑģ":45630,"ĠCompiler":45631,"(android":45632,"ĠâĢº":45633,".turn":45634,"Ġsuppression":45635,"_calls":45636,"Ġ*@":45637,"(strlen":45638,".hex":45639,"ĠBills":45640,"ĠRSA":45641,"ÏĤ":45642,"ĠEscape":45643,"ementia":45644,"Ġfrontend":45645,"Ġpint":45646,"_exc":45647,"zzo":45648,"[],Ċ":45649,"Ġ\"','\"":45650,".Environment":45651,"Ġaforementioned":45652,"Ġendure":45653,"prototype":45654,"therapy":45655,"ssi":45656,"Deg":45657,"_plugins":45658,".userInfo":45659,"Printer":45660,"ĠPROGRAM":45661,"Ġruins":45662,"Ġempirical":45663,"Ġcrawl":45664,"ĠBoiler":45665,"-comment":45666,".subplot":45667,"_et":45668,"Ġ'.',":45669,"minor":45670,"ĠCustoms":45671,"Ġyaw":45672,"underline":45673,"ĠComo":45674,"(('":45675,"(mean":45676,"Ġchaque":45677,"ĠBlocks":45678,".rad":45679,"ilibrium":45680,"Ġwebdriver":45681,"Ġmelhor":45682,"dana":45683,"ĠAbuse":45684,"ĠSouthwest":45685,"ĠParen":45686,"PERTIES":45687,"ĉIL":45688,"Ġscream":45689,"vu":45690,"Ġincomes":45691,"Ġnim":45692,"Ġlace":45693,"Ġcompensate":45694,"Reverse":45695,"Dat":45696,"_attack":45697,"Ġnour":45698,"achen":45699,"cek":45700,"\"+":45957,"Ġtokenizer":45958,"Ġsovereignty":45959,"ĠPence":45960,"()\");Ċ":45961,"Ġpessoas":45962,".Ge":45963,"ĠIncluded":45964,"Ġpagina":45965,"Ġexposing":45966,"еÑĪ":45967,"_SCRIPT":45968,"/$',":45969,"Thumbnail":45970,"×Ķ":45971,"webElementX":45972,"webElementXpaths":45973,"pressure":45974,"ĠCurry":45975,"_CP":45976,"OLUTION":45977,"ILES":45978,"protect":45979,"oola":45980,"Workspace":45981,"{};Ċ":45982,"ĠUNS":45983,"Ġsympathy":45984,"roker":45985,"Ġremodel":45986,"ĉcell":45987,"Ġatop":45988,".FullName":45989,"Ġfaut":45990,"ĠEasily":45991,"_dynamic":45992,"Ġframed":45993,"Ġmotive":45994,"è·¯":45995,"sam":45996,"Ġmarca":45997,"ĠTextEditingController":45998,"Ġdestructor":45999,"cream":46000,"Ġrude":46001,"ĠBold":46002,"ĠIndigenous":46003,"Ġgens":46004,"Ġrelacion":46005,"(system":46006,"ĠUIFont":46007,"_charge":46008,"USTER":46009,"EV":46010,".Namespace":46011,"Ġmerger":46012,"Ġcalloc":46013,"gang":46014,"BadRequest":46015,"Ġsper":46016,"-design":46017,"Ġâĩ":46018,"Chan":46019,"Ġorganism":46020,",)":46021,"=id":46022,"_plane":46023,"ĠCases":46024,"elfast":46025,"ĠLegislature":46026,"ĠFaker":46027,"Ġinvoking":46028,"-utils":46029,"().'":46030,".face":46031,"Ġguardian":46032,"myModal":46033,"Ġclipboard":46034,"ĠATM":46035,"Ġpeas":46036,"ĠSylv":46037,".calc":46038,"ĠContacts":46039,"intValue":46040,"Ġmodifying":46041,"ĠBarb":46042,".loss":46043,"_percentage":46044,"Asked":46045,"(lst":46046,"ategorical":46047,"-files":46048,"ĠRomania":46049,".Ac":46050,"Ġhai":46051,"ĠFlying":46052,"Ġż":46053,"jp":46054,"ĠTrainer":46055,".arc":46056,"_deg":46057,"Ġtraceback":46058,"OrFail":46059,"FLOW":46060,".old":46061,"oya":46062,"gmt":46063,"isempty":46064,"Ġvaccination":46065,"Ġobsolete":46066,"recognized":46067,"Ġruined":46068,"ĠRein":46069,"ĠTracking":46070,"xfb":46071,"اÛĮ":46072,"Ġvære":46073,"Ġbryster":46074,"ĠITS":46075,"Ġdestiny":46076,"Ġswear":46077,"Ġredes":46078,"Ġclf":46079,"Ġflipped":46080,"ĉhead":46081,"Bluetooth":46082,"ĠOverrides":46083,":Boolean":46084,"_=":46085,"_lr":46086,"spawn":46087,":index":46088,"VALUES":46089,"iskey":46090,"?\");Ċ":46091,".synthetic":46092,"ĠChecking":46093,"structures":46094,"iping":46095,"Ġvocals":46096,"-Up":46097,"ĠManufacturers":46098,"ĠMarriage":46099,"代çłģ":46100,"Ġgarner":46101,"_Client":46102,"parallel":46103,"RIEND":46104,"Ġvinegar":46105,"segue":46106,"JB":46107,"Ġcontacting":46108,"ĠCarroll":46109,"Ġoutreach":46110,"tensor":46111,"_variant":46112,"Ġtheat":46113,"licable":46114,"{|":46115,"tiny":46116,"_letter":46117,"Ġpencil":46118,"HeadersHeightSizeMode":46119,"iltro":46120,".autoconfigure":46121,".drag":46122,".useState":46123,"ĠBMI":46124,"hint":46125,"Compile":46126,"*\\":46127,"enary":46128,"Ġlvl":46129,".Cache":46130,"+=\"":46131,"_tv":46132,"ruitment":46133,"Ġfread":46134,"Articles":46135,"fila":46136,"Ġpackaged":46137,"âĺĨ":46138,"ATHER":46139,"ĠPlanned":46140,"scheme":46141,"Ġdiary":46142,"Ġoffenses":46143,"/F":46460,"ĠStick":46461,"Ġcerc":46462,"ĠSlee":46463,"ĉĉĠĠĠĠĠĠĠĠ":46464,"":46639,"ĉcol":46640,"VG":46641,"_boolean":46642,"recent":46643,"Ġ*)ĊĊ":46644,"ĠRainbow":46645,"ommen":46646,"Ġlur":46647,"Ġoppression":46648,"(\",\");Ċ":46649,"ĠFacility":46650,"DEFINED":46651,"Ġneon":46652,"Ġoffender":46653,"AFP":46654,"ĠCleaning":46655,"[]):":46656,"Ġundocumented":46657,".Repositories":46658,"ĠGuitar":46659,"аÑģÑģив":46660,"Skills":46661,"Ġtestimon":46662,"ryptography":46663,"ĠAmber":46664,"ĠStalin":46665,"Ġlone":46666,"Ġapenas":46667,"Ġdieses":46668,"ĠArduino":46669,"转":46670,"==-":46671,"_Act":46672,"Ġcoded":46673,"âĸł":46674,"amburger":46675,"-links":46676,"Ġarmour":46677,".High":46678,"getContent":46679,"stag":46680,"Ġheck":46681,"ĠìĹĨ":46682,"ĠMcConnell":46683,"ĠConcert":46684,"ĠAlloc":46685,"äre":46686,".replaceAll":46687,"Ġpartitions":46688,"rott":46689,"ĠFle":46690,"_TREE":46691,"reasonable":46692,"ĠReporting":46693,"Ġbillionaire":46694,"scores":46695,"mins":46696,"-eye":46697,"MORE":46698,"abort":46699,"ĠSWT":46700,"Ġinverted":46701,"ĠTeachers":46702,";n":46703,"Ġastro":46704,"нов":46705,"аниÑĨ":46706,"producto":46707,"countries":46708,"ĠOwen":46709,"Ġcontamination":46710,"Ġvibe":46711,"ĠElli":46712,".script":46713,"ĠOlive":46714,"DMA":46715,"vier":46716,":semicolon":46717,"-module":46718,"gressive":46719,"agu":46720,"_players":46721,"Ġresultados":46722,"started":46723,"scrollTop":46724,"=====":46725,"Ġweighing":46726,"Ġ[[[":46727,"zahl":46728,"(NS":46729,"ĠAssertion":46730,"league":46731,".setTextColor":46732,"ĉMessage":46733,"Ġmoms":46734,"_AF":46735,".wh":46736,"ALS":46737,"Ġautre":46738,"]ĊĊĊĊ":46739,".opacity":46740,"ĠBuddhist":46741,"Ġdeaf":46742,"ĠOrganisation":46743,"(Global":46744,"ensch":46745,"Ġheadache":46746,"ĠAlien":46747,"_inode":46748,"ĠStark":46749,"Ġæī":46750,"-lnd":46751,"oref":46752,"_feat":46753,"Ġpedestrian":46754,"Ġnominal":46755,"Ġballoon":46756,"Ġsprites":46757,"PrototypeOf":46758,"ĠApost":46759,"ĠFEATURE":46760,"OH":46761,"Ġrecess":46762,"ĠDonna":46763,"consumer":46764,"$GLOBALS":46765,"ĠGIF":46766,"-frame":46767,"Inicio":46768,"Ġpassages":46769,"DateString":46770,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":46771,".byte":46772,"Bug":46773,"initializer":46774,"pkt":46775,"odium":46776,"ĠDER":46777,".ops":46778,"leri":46779,"Ġgifted":46780,"Ġdetach":46781,"terrain":46782,"elters":46783,"ãģı":46784,".loader":46785,"ĠNGO":46786,"strncmp":46787,"Kh":46788,"(fontSize":46789,"rocket":46790,"Ġprecedent":46791,"ĠAurora":46792,"ĠExperiment":46793,"isphere":46794,"Encoded":46795,"ĠâĢĵĊĊ":46796,"Ġpyramid":46797,"ĠAnniversary":46798,"ofil":46799,"ëŁ":46800,"(plugin":46801,"Coeff":46802,"Ġcooperate":46803,"Ġpredominantly":46804,"ISM":46805,"Phrase":46806,"_DEFINE":46807,"Flip":46808,"AMILY":46809,"ĠMarkets":46810,"ĠStreamReader":46811,"ĠCombine":46812,"Ġmanuscript":46813,"zza":46814,",tp":46815,"Whatever":46816,"ITICAL":46817,"ighbour":46818,"DataProvider":46819,".Texture":46820,"privacy":46821,".SDK":46822,"Ġrecharge":46823,"Ġcpp":46824,"ĠCFG":46825,"(holder":46826,"(py":46827,"mot":46828,"Ġsavoir":46829,"ĠRosa":46830,"ĠPCs":46831,"ĠíĻ":46832,".heroku":46833,"Ġfren":46834,"ĠRiley":46835,"agate":46836,"Ġsond":46837,".xlsx":46838,"Ġhacked":46839,"stad":46840,"Gi":46841,"Ġsanity":46842,"ĠSqlDataAdapter":46843,"...\",":46844,"ĠPussy":46845,"Ġ****************":46846,"Ġhassle":46847,"_PARENT":46848,"ĠUAE":46849,"Ġbeginners":46850,"(Client":46851,"Ġstatistically":46852,".hour":46853,"edelta":46854,"Ġtraction":46855,"uelve":46856,"arat":46857,"Ġsauna":46858,"INVALID":46859,"Ġindictment":46860,"ALLE":46861,"Ġdissent":46862,"ĠTypography":46863,"Ġintentional":46864,"sit":46865,"ĠAnimals":46866,"Ġcountryside":46867,"Ġuart":46868,"}\\\"":46869,"Ġseamless":46870,"¾ç¤º":46871,"Ġautos":46872,"Ġ\"'\";Ċ":46873,"Flush":46874,"ANNOT":46875,"Ġalgebra":46876,"assoc":46877,"ĠWaters":46878,"Ġpreparations":46879,"ronym":46880,"[,]":46881,"Sans":46882,"Ġarmies":46883,"ipeg":46884,"Ġcreamy":46885,".art":46886,"etre":46887,"ĠAnimated":46888,"Ġunpleasant":46889,"emean":46890,"great":46891,"iÄħ":46892,"ĠEarlier":46893,"Ġchic":46894,"Ġpreserving":46895,"(exec":46896,"ĠInvestigation":46897,"ĉGPIO":46898,"Ġrigorous":46899,"ijo":46900,"=num":46901,"ĠtoolStrip":46902,")set":46903,"+\"&":46904,"ĠAcceler":46905,"Ġdevelopmental":46906,"isposable":46907,"Ġflawed":46908,"rene":46909,"Updating":46910,"Ġwatchdog":46911,"Ġdenominator":46912,"Ġsuburbs":46913,"Ġ...)":46914,"Ġconvictions":46915,"closure":46916,".IP":46917,"Ġtranslates":46918,".swt":46919,".Trace":46920,"Ġmettre":46921,".isEnabled":46922,"ĠEffective":46923,".toInt":46924,"Ġenchant":46925,"Ġstunned":46926,"Ġpoi":46927,"/code":46928,"adm":46929,".databinding":46930,"ĠLorem":46931,"________________________________________________________________":46932,"Ġledger":46933,"Ġcara":46934,"ĠGir":46935,"Ġwaits":46936,"Uno":46937,"Ġcwd":46938,"è¾ij":46939,"ĠTResult":46940,"Ġrejo":46941,"Ġemitted":46942,"ĠWestminster":46943,"ä¸Ģ个":46944,"nek":46945,"_Tis":46946,"Ġenact":46947,"ĉwith":46948,"orgia":46949,"Ġjue":46950,"Perform":46951,"SPATH":46952,".topic":46953,"ĠDaten":46954,"ầ":46955,"Ġsitio":46956,"_MM":46957,"\"So":46958,"bial":46959,"Ġscoped":46960,"Requires":46961,"ĠTOTAL":46962,"ĠChancellor":46963,"(contents":46964,"Ġstealth":46965,"devices":46966,"-pass":46967,"ilih":46968,"ĠMalcolm":46969,"ĠDepot":46970,"Ġconfigur":46971,"aussian":46972,"_constraint":46973,"веÑĤ":46974,"GRA":46975,"ĠRates":46976,".dataGridViewTextBoxColumn":46977,"ĠNobel":46978,"itics":46979,"Ġignorant":46980,"ĠReporter":46981,"ĠEbola":46982,"ĠShock":46983,"_relation":46984,"ĠNinja":46985,")c":46986,"Ġticker":46987,".isChecked":46988,"ĠSuppliers":46989,"ĠRapid":46990,"Levels":46991,"âĤ¬âĦ¢":46992,"ĉqueue":46993,"Ġchop":46994,"ĠUnix":46995,"reject":46996,"-calendar":46997,"(sort":46998,"ène":46999,"ercicio":47000,"Ġhect":47001,"CALLTYPE":47002,"roupon":47003,"Ġrentals":47004,"authors":47005,"{name":47006,"ĠFIFO":47007,"Ġlassen":47008,"ĠNous":47009,"Ġsnapped":47010,"Ġfertility":47011,"\"log":47012,"clicked":47013,"Ġplanting":47014,"Ġgb":47015,"/output":47016,"PEAT":47017,"Ġcategoria":47018,"Ġbach":47019,"Professor":47020,"inth":47021,"\"]čĊ":47022,"Recorder":47023,"serde":47024,"ĠTransmission":47025,"trad":47026,"Ġturbo":47027,"_VERTEX":47028,"\\Event":47029,"ilver":47030,"Ġbodily":47031,"ĠSources":47032,"Ġkillings":47033,".xrTableCell":47034,"Ġfolded":47035,"/legal":47036,"uner":47037,"ĠRifle":47038,"ĠMIDI":47039,"_SelectedIndexChanged":47040,".SizeType":47041,"ĠWebSocket":47042,"Ġseleccion":47043,"Sand":47044,"otros":47045,"Ġenvision":47046,"/etc":47047,"ĠMelissa":47048,"Spot":47049,"ное":47050,"_ARM":47051,"Attempt":47052,"ĠBI":47053,"ãģĶ":47054,"ĠDU":47055,"Ġbacklash":47056,"stride":47057,"/classes":47058,"ĠtextColor":47059,"_staff":47060,"oblin":47061,"agenta":47062,".collections":47063,"illage":47064,"'čĊčĊ":47065,"flatten":47066,"_sales":47067,"_MASTER":47068,"TW":47069,"_da":47070,"Pitch":47071,"phies":47072,"Ġzombies":47073,"ĠVERY":47074,"ĠPharmacy":47075,"ĠprogressBar":47076,"Ġhashtag":47077,"Sidebar":47078,"@stop":47079,"(pc":47080,"олж":47081,"MAKE":47082,"ĠCoron":47083,"Ġkvinner":47084,"ĠMaid":47085,"bob":47086,".titleLabel":47087,"Ġsuccesses":47088,"ĠDemocracy":47089,"ĠSurgery":47090,"Ġcougar":47091,"Ġcurso":47092,"Ġloro":47093,"istency":47094,"Senior":47095,"æk":47096,"ĠAAA":47097,"ĠBOOK":47098,"ко":47099,"WSTR":47100,"Ġ*/,Ċ":47101,"oyal":47102,".vector":47103,"ĠSPEC":47104,"SSF":47105,"Ġcompuls":47106,"ĠAppeals":47107,"ĠWinston":47108,"ĠMockito":47109,"contrib":47110,".available":47111,"entityManager":47112,"arias":47113,"_sale":47114,"_rs":47115,"Ġdecoding":47116,"Ġlocator":47117,"olith":47118,"Ġkol":47119,"Ġascii":47120,"ĠRut":47121,"/interface":47122,"ĉĉĉĉĉĉĠĠĠ":47123,"ĠNumer":47124,".flip":47125,"-del":47126,"Ġbolster":47127,"onomic":47128,"Ġzm":47129,"LG":47130,"FindBy":47131,"Ġadaptive":47132,"loo":47133,"Ġvue":47134,"(reverse":47135,"_canvas":47136,".roles":47137,"ificado":47138,"venient":47139,"\"As":47140,"ĠEntr":47141,"aligned":47142,"Ġbereits":47143,"///ĊĊ":47144,".gwt":47145,".employee":47146,"_cli":47147,"Ġanticipate":47148,"éĻIJ":47149,"Ġpik":47150,"Ġmushrooms":47151,"(tt":47152,"Ġoma":47153,"ĠSanchez":47154,"_google":47155,".Valid":47156,"ĠFileName":47157,"ivative":47158,"ked":47159,"-war":47160,"Ġmaturity":47161,"ид":47162,"Ġminer":47163,"Reducers":47164,"ĠLatLng":47165,"_STD":47166,"Digits":47167,"Calc":47168,"-upload":47169,"Ġhandic":47170,"ีà¹Ī":47171,"egrated":47172,"ĠSTM":47173,"Clients":47174,"ĠTurbo":47175,"SYNC":47176,"Ġphotographers":47177,".Out":47178,".character":47179,"BUILD":47180,".unlock":47181,"Ġarises":47182,"ĠCommands":47183,"(\"\");čĊ":47184,"_FORE":47185,";',":47186,"+\"'":47187,".Images":47188,"\"){":47189,"ĠMeyer":47190,"Ġnegatively":47191,"ĠDLL":47192,"Ġexe":47193,"Ġdeficiency":47194,"Ġwildly":47195,"-switch":47196,"construction":47197,"Ġexceptionally":47198,"ĠLiz":47199,"/java":47200,"Ġtheirs":47201,"ĠContemporary":47202,"lis":47203,".fillRect":47204,"ĠNFC":47205,"Ġrehe":47206,"(numbers":47207,"Ġraster":47208,"Ġfiguring":47209,"Ġshowc":47210,"ĠJill":47211,"Ġarcade":47212,"ĠConstructs":47213,"mdl":47214,"('|":47215,"Ġidentifiers":47216,"Ġstellar":47217,"(Connection":47218,"Ġ\"{{":47219,"yor":47220,"(mysqli":47221,"Ġdove":47222,"OfBirth":47223,".disconnect":47224,"_hi":47225,"Ġzwischen":47226,"ĠGrund":47227,"iros":47228,"_Array":47229,".onclick":47230,"ansom":47231,"Answers":47232,"ĉremove":47233,"Fa":47234,"Ġhurry":47235,"-inf":47236,"ĠgetClass":47237,"ĠRegulation":47238,"ĠFLAGS":47239,"misc":47240,"Ken":47241,"_heading":47242,"GHz":47243,"-entry":47244,"Ġbiography":47245,"Sig":47246,"-mf":47247,"Watcher":47248,"âĢľA":47249,"}px":47250,"Ġspicy":47251,"_sq":47252,"Lost":47253,"(track":47254,"али":47255,"Descending":47256,"((":47453,"survey":47454,"Ġíĺ":47455,"...')Ċ":47456,"ĠDivider":47457,"osl":47458,"_CANCEL":47459,"_prepare":47460,"stin":47461,"ĠHeath":47462,".PrimaryKey":47463,"ĠâĨIJ":47464,"ĠLocalDateTime":47465,"Ġcooperative":47466,"Learning":47467,".enqueue":47468,"Ġgoog":47469,"ĠRegression":47470,"imates":47471,"Ġvoyeur":47472,"ĠDrink":47473,"plug":47474,"Ġlender":47475,"mana":47476,"Ġpersonnes":47477,"ypse":47478,"Ġunlink":47479,"ĠRavens":47480,"Ġhurd":47481,"Ġperiodically":47482,"ARGS":47483,"ĠGH":47484,"characters":47485,"...\"ĊĊ":47486,"-establish":47487,"Ġdn":47488,"(condition":47489,"ĠGravity":47490,"Ġestas":47491,"_focus":47492,"Creature":47493,"(site":47494,"Ġcarr":47495,"ĠRL":47496,"ĠRI":47497,"ĠMoto":47498,"ASF":47499,"ĠLuckily":47500,"ĉRoute":47501,"Ġentropy":47502,"(\",\"":47503,"Collect":47504,"(contact":47505,"ĠFlorence":47506,"Ġpremiums":47507,"Ġlifecycle":47508,"Ġbans":47509,"xef":47510,"WebKit":47511,"ĠFloating":47512,"Ġcosa":47513,"Specific":47514,"ĠLoans":47515,"bread":47516,"Ġdescriptors":47517,"Ġ{:.":47518,"THREAD":47519,"ĠTrent":47520,"Ġscop":47521,"QA":47522,"ĠAntar":47523,"pel":47524,"_difference":47525,"_changes":47526,"(...)":47527,"ĠRotation":47528,"ĠLGPL":47529,"ĠJUST":47530,"(Task":47531,"_subset":47532,"ĠTRANS":47533,"åĬĽ":47534,"ĠScout":47535,"-popup":47536,"Ġsmoked":47537,"_Class":47538,"Ġturnover":47539,"brakk":47540,"ĠRocky":47541,"tas":47542,".RegularExpressions":47543,"ĠElliott":47544,"ĠSpinner":47545,"DUCTION":47546,"Ġlibre":47547,"Ġmolto":47548,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ":47549,"ĠFTP":47550,"mpeg":47551,"(features":47552,"Ġbald":47553,"ĠVid":47554,"Ġshouting":47555,"Lint":47556,"Ġsockets":47557,"Ġprow":47558,"Ġnouvelle":47559,"iscard":47560,"ĠSponsor":47561,"Ġconsulta":47562,")));":47563,"Indian":47564,"ĠRaspberry":47565,"Ġteammate":47566,"ĠJWT":47567,"ĠGhana":47568,"Ġcakes":47569,"primer":47570,"forma":47571,"ergarten":47572,"_Manager":47573,"Ġpreseason":47574,"GAME":47575,"|\"":47576,"ĠBrock":47577,"Ġoccupy":47578,"Ġdecorations":47579,"ánd":47580,"Ġcot":47581,"Ġparan":47582,"Disk":47583,"remain":47584,">?":47585,"Strong":47586,"Ġfrance":47587,"ĠEra":47588,"-cr":47589,".BufferedReader":47590,"ĠParadise":47591,"ĠVAT":47592,"ĠAnders":47593,"Ġlimb":47594,"ampoo":47595,"Ġimperative":47596,"UTILITY":47597,"ĠRecognition":47598,"Ġragazze":47599,"Ġpops":47600,"ypress":47601,"Ġembargo":47602,"//{Ċ":47603,"Ġsyll":47604,"PTR":47605,"åŃĺåľ¨":47606,"Ġdidnt":47607,"Mailer":47608,"Ġacademics":47609,"ĠFrauen":47610,"neider":47611,"-rel":47612,"Ġrainbow":47613,"(In":47614,"Ġsliced":47615,"=============Ċ":47616,"(send":47617,"NSMutableDictionary":47618,"vos":47619,"(package":47620,"Ġordinance":47621,"viewer":47622,"ĠSantos":47623,"-selling":47624,"Ġgov":47625,"ettle":47626,"Ġfounders":47627,"Ġwaking":47628,"slashes":47629,"-pound":47630,"recht":47631,"ات":47632,".onClick":47633,"Ġnord":47634,"ständ":47635,"_when":47636,"UTERS":47637,"icc":47638,"Ġcapsule":47639,"ĠWid":47640,"Marc":47641,"ุ":47642,"rored":47643,"UGE":47644,"LOUD":47645,"ĠAudit":47646,"ipients":47647,"opian":47648,"ĠSue":47649,"Ġwurden":47650,".Helpers":47651,"Ġfactions":47652,"[np":47653,"-than":47654,"Ġreco":47655,"Ġkas":47656,"Ġcmds":47657,"/network":47658,"xbf":47659,"getColor":47660,"Ġbiased":47661,"ĠLak":47662,"Datas":47663,"vents":47664,"Ġë²":47665,"_PS":47666,".Validate":47667,"Invoker":47668,"Ġneuen":47669,"Ġjuvenile":47670,"VISION":47671,"Ġdevote":47672,"Ġlinha":47673,"Ġdiscounted":47674,"\\Config":47675,"Ġworthwhile":47676,"Ġskinny":47677,"ĠCourses":47678,"leys":47679,"ĠMortgage":47680,"Kevin":47681,"Ġannounces":47682,"])*":47683,"reservation":47684,"Ġæķ°":47685,"Ġprejudice":47686,"ĠStringComparison":47687,"Ġbeard":47688,"-win":47689,"ĠSão":47690,"ĉms":47691,"jal":47692,"ĠEarn":47693,"_ports":47694,"ĠNombre":47695,"_COR":47696,"ĠBUILD":47697,".sound":47698,"Yellow":47699,"Ġlinebacker":47700,"Ġcharitable":47701,"jug":47702,"_NONNULL":47703,"ĠDental":47704,"\">${":47705,"ĉmatch":47706,"Russian":47707,"Ġversch":47708,"Ġpinned":47709,"Ġadopting":47710,"OptionsMenu":47711,"Pag":47712,"Ġpairing":47713,"Ġtread":47714,"ercises":47715,"ĠSpread":47716,")i":47717,"ĠBAD":47718,"_tf":47719,"UIImageView":47720,"populate":47721,"bab":47722,"ĠÏĥ":47723,"[++":47724,"Ġopioid":47725,"Ġ##Ċ":47726,"dtype":47727,"ĠStarts":47728,"('/')":47729,"Ġpersonals":47730,"-market":47731,"Ġredundant":47732,"ĠEssential":47733,"Ġscrapy":47734,"Ġим":47735,"acl":47736,"Ġcrear":47737,"ĠBend":47738,"Ġrelieve":47739,"-room":47740,"wife":47741,"ĠvÃł":47742,"ĠQPoint":47743,"Ġquasi":47744,"ĠmethodName":47745,"\\xc":47746,"ĠPeru":47747,"/The":47748,".orm":47749,"Ġviz":47750,"/pdf":47751,"Located":47752,"Ġconfrontation":47753,"ĠChampionships":47754,"Ġhypert":47755,"Ġdj":47756,"ĠUserInfo":47757,"ĠåĪĽå»º":47758,"\\xb":47759,"(sim":47760,"Ġ==Ċ":47761,"Ġstaging":47762,"Ġdrastically":47763,"åѦ":47764,"lords":47765,".less":47766,"ведиÑĤе":47767,"ĠBucket":47768,"ĠMam":47769,".term":47770,"_pi":47771,"czy":47772,".pub":47773,"precio":47774,"ĠVirt":47775,"Ġroman":47776,"itat":47777,"Lex":47778,"_infos":47779,"Ä°":47780,".other":47781,"VELO":47782,"Ġponder":47783,"Ġhanno":47784,"(Page":47785,"doi":47786,"Ġpolite":47787,"Ġprogrammer":47788,"Dies":47789,"$d":47790,"Ġreplication":47791,"addColumn":47792,"frican":47793,"Ġleng":47794,"beer":47795,"oit":47796,"Ġwasting":47797,"ylim":47798,"measure":47799,"Neg":47800,"Ġpartie":47801,".console":47802,"ĠGuinea":47803,"TEL":47804,"_fact":47805,".chunk":47806,"Ġlent":47807,"Ġaller":47808,"Ġà¤ķ":47809,"_idle":47810,"Ġadmissions":47811,"JSONArray":47812,"Ġvibration":47813,".helpers":47814,"å¤ĸ":47815,"Ġhen":47816,"john":47817,"ĠìĥĿ":47818,"Ġjudgement":47819,"Ġgeen":47820,"terra":47821,"^{":47822,"ĠIz":47823,"Ġcâ":47824,"instances":47825,"Ġthreatens":47826,"Ġmüssen":47827,"KindOfClass":47828,"Ġstorytelling":47829,"_demo":47830,"rias":47831,"Privacy":47832,"hift":47833,"ĠYi":47834,"esor":47835,"íķł":47836,"ensitivity":47837,".Writer":47838,"à¸Ĥ":47839,"District":47840,".getJSONObject":47841,"Impro":47842,"(getResources":47843,"ĠSPELL":47844,"roduce":47845,"Ġslowed":47846,"Ġlinewidth":47847,"Ġhonesty":47848,"ĠCoord":47849,"ĠFork":47850,"ĠDispatchQueue":47851,"ĠCliff":47852,"ĠWiring":47853,"_TIMESTAMP":47854,"ollah":47855,"avoid":47856,"++];Ċ":47857,"semantic":47858,"-css":47859,"Ġveto":47860,"ĠMerr":47861,"Ġlegislators":47862,"CEEDED":47863,"Ġquestionnaire":47864,"ĠPills":47865,"Calculate":47866,"(core":47867,"'e":47868,"Ġdislike":47869,"ĠPreferences":47870,"_EXTERNAL":47871,"è°ĥ":47872,"Ġdodge":47873,"æľįåĬ¡":47874,".names":47875,".drawImage":47876,"_prom":47877,"uckland":47878,"Ġ<$>":47879,"ız":47880,"/site":47881,"项":47882,"rophe":47883,"Ġcompelled":47884,"Ġlaptops":47885,"Ġuni":47886,"CLOSE":47887,"Ġcasualties":47888,"ĠUniform":47889,"Terminal":47890,".\",\"":47891,"DAT":47892,"(TreeNode":47893,"ĠGandhi":47894,"(stmt":47895,"AXB":47896,"*M":47897,"Ġumbrella":47898,"animal":47899,"Ġgrpc":47900,"Ġwhereby":47901,"Ġfloats":47902,"ĉarg":47903,"Ġdbg":47904,"Ġexceeding":47905,"EventType":47906,".SaveChangesAsync":47907,"Ġ{{{":47908,"Ġowed":47909,"ahrenheit":47910,"Ġì§":47911,"Ġequipo":47912,"urai":47913,"Ġidol":47914,"]\")Ċ":47915,"_major":47916,"Ġentirety":47917,"ingerprint":47918,"ços":47919,"/account":47920,"ĉright":47921,"ursos":47922,"ĠEDT":47923,"_INSERT":47924,"Ġshining":47925,"Ġ<:":47926,"EdgeInsets":47927,"Ġcolonies":47928,".IM":47929,"ĉĠĉ":47930,"ROAD":47931,"CCCC":47932,"placing":47933,"ĠgetActivity":47934,"emacs":47935,"'%(":47936,".clicked":47937,"ĠThem":47938,"isia":47939,"Buscar":47940,".rename":47941,"Ġoath":47942,"Ġafterward":47943,"ĠUFO":47944,"APS":47945,"ĠJacksonville":47946,".some":47947,"Confirmed":47948,".scan":47949,"igInteger":47950,"Decorator":47951,"shield":47952,"ressive":47953,".did":47954,"请è¾ĵåħ¥":47955,"Ġshutter":47956,"Dam":47957,"Ġparenting":47958,"eyed":47959,"$item":47960,"-develop":47961,"Ġextracts":47962,"Ġdecentralized":47963,"ĠElsa":47964,"_spin":47965,"])+":47966,"-initial":47967,"Ġmultitude":47968,"Ġsensory":47969,"ĠMODEL":47970,"Ġsafeguard":47971,"ì¹":47972,"Ġhunters":47973,"ĠTiny":47974,"INO":47975,"decorate":47976,"ĠNoSuch":47977,"Ho":47978,"(Response":47979,"Ġruler":47980,"ĉshort":47981,"Ġcaster":47982,"ĠclientId":47983,"Ġpdb":47984,"ëıĦ":47985,"itic":47986,"ĠGameState":47987,"ĠnewItem":47988,")ĊĊĊĊĊĊ":47989,"ouis":47990,"noc":47991,".BLACK":47992,"_VECTOR":47993,"----------();":48281,".getP":48282,"anye":48283,"Ġneuron":48284,"ifold":48285,"ĠKnown":48286,"Bitcoin":48287,"Anyway":48288,"ayette":48289,"Ġ'['":48290,"Ãłnh":48291,"mgr":48292,"Ġcorrelated":48293,"Ġnause":48294,"Ġmentality":48295,"hasMany":48296,"ĠFG":48297,"ampie":48298,"ITU":48299,"Fs":48300,".Sp":48301,"_between":48302,"Dependencies":48303,"oug":48304,"Placeholder":48305,"=text":48306,"ĠManaging":48307,"ocalypse":48308,"åĮĹ":48309,"_mag":48310,"fld":48311,"âij":48312,"CAM":48313,"ĠHelpers":48314,"Ġdost":48315,"/out":48316,"Ġassassination":48317,".getImage":48318,"ĠKenny":48319,".')ĊĊ":48320,"){//":48321,"ĠRanger":48322,"Ġgek":48323,"Ġsincere":48324,"čĊ":48527,".getResources":48528,"Ġlump":48529,"_consts":48530,"(ext":48531,"ĉdir":48532,"âĿ":48533,"ĠpaddingTop":48534,"Ġobsession":48535,"Ġbanning":48536,"ĠAppModule":48537,"Ġpartisan":48538,"Ġcatalogue":48539,"Ġminors":48540,"Ġpitches":48541,"weep":48542,"Ġundertake":48543,"Ġthemed":48544,"audit":48545,".scrollTop":48546,"Ġrer":48547,"Ġsymptom":48548,"Ġopenings":48549,".blocks":48550,"openid":48551,"Ġassh":48552,"-save":48553,"ĠPig":48554,"Ġregain":48555,"Ġinicial":48556,"/favicon":48557,"ĉexp":48558,"Ġspices":48559,"iska":48560,"claims":48561,"mak":48562,"definitions":48563,"Ġcorrespondent":48564,"ĠCannabis":48565,"__,Ċ":48566,"ĠLucky":48567,"ĠGaussian":48568,"ĠNearly":48569,"CAD":48570,"']]Ċ":48571,"Ġadequately":48572,"ĠTITLE":48573,"constitutional":48574,"-mm":48575,"_override":48576,"Ġblas":48577,".readyState":48578,"Ġreminis":48579,"Ġreinforced":48580,"ĠCollabor":48581,"Ġdecorating":48582,"Ġbachelor":48583,"ERRUPT":48584,"Ġupright":48585,"ipation":48586,"ĠNoble":48587,"ĠvalueForKey":48588,"ĠsetLoading":48589,".Ignore":48590,"åģ":48591,"Globals":48592,"ĠMent":48593,"ASSES":48594,"Ġlimbs":48595,"ĠHUD":48596,"inci":48597,".iv":48598,"ĠQModelIndex":48599,"Fuse":48600,"Ġpedal":48601,"_FREQ":48602,"(verbose":48603,"Ġlongitud":48604,"ĠCharter":48605,"ê·¸":48606,"Ġbundles":48607,".ignore":48608,"umbo":48609,"EMA":48610,".......":48611,"sx":48612,".Card":48613,"Ġheute":48614,"Ġsteer":48615,"jumlah":48616,"Ġ{_":48617,"_Checked":48618,"Ġfax":48619,"ĠGust":48620,"itchens":48621,"Ġ))ĊĊ":48622,"Ġremarkably":48623,"/XML":48624,"-remove":48625,"_bt":48626,"Ġincub":48627,".package":48628,".currentThread":48629,"ĠHighlander":48630,".side":48631,"splash":48632,"Ġici":48633,"=D":48634,"Ġpuck":48635,"Ġballots":48636,"Ġhugely":48637,"coeff":48638,"ĠpData":48639,".COLUMN":48640,"ĠHealing":48641,"Ġordin":48642,"!),":48643,"Ġ'',čĊ":48644,"(md":48645,"ĠSask":48646,"čĊ":48668,"Ġrá":48669,"Ġblunt":48670,"ĠImageIcon":48671,"ifik":48672,"RTC":48673,"Ġfibers":48674,"Ġtoile":48675,".sent":48676,"ĠPyQt":48677,"$app":48678,"Ġmedio":48679,"Ġgranting":48680,"Ġtslint":48681,"ĠMö":48682,"(figsize":48683,"Ġhurricane":48684,"Ġlifes":48685,"ĠÃĦ":48686,"rocessing":48687,"_standard":48688,"-option":48689,"')))":48690,"Ġvacant":48691,"å·¥":48692,"ĠHollow":48693,"handleChange":48694,"Ġdivider":48695,"ĠEngineers":48696,"Ġsvens":48697,"Ġcompliant":48698,"tanggal":48699,"ĠCredits":48700,"ĠEmirates":48701,"RuleContext":48702,"Ġrealization":48703,"Ġdistracted":48704,"]+=":48705,"Ġaugment":48706,"ĠDw":48707,"otp":48708,"orrent":48709,"Editar":48710,".stock":48711,"Study":48712,"pections":48713,"ĠGameManager":48714,"=cut":48715,"Ġflock":48716,"ĠRomans":48717,"them":48718,"-hop":48719,"Ġscreenshots":48720,"Ġ/*!Ċ":48721,"Ġconversions":48722,"Ġnormalization":48723,"(configuration":48724,"Ġaeros":48725,"_security":48726,"!'Ċ":48727,"Bonus":48728,"ĠDRIVER":48729,"ĉDate":48730,"tie":48731,"ĠWyoming":48732,"Stand":48733,"itre":48734,"Ġshoppers":48735,"Ġdisadvantage":48736,"Ġliking":48737,"ç¬ij":48738,"Ġunderstandable":48739,"SEE":48740,"Ġhoy":48741,"Ġninete":48742,"Ġconfer":48743,"Ġnowrap":48744,"ĠVern":48745,",čĊčĊ":48746,"imestep":48747,"LayoutManager":48748,"à·":48749,"ĉwait":48750,"PLETED":48751,"Japan":48752,"Ġinduce":48753,"Ġå¯":48754,"озв":48755,"_ENDPOINT":48756,".horizontal":48757,"Ġaccelerated":48758,"rimon":48759,"IVES":48760,"Transactions":48761,"Lean":48762,"ĠSOUR":48763,"whether":48764,"yg":48765,"Ġoid":48766,"ĠEntityManager":48767,"OUNTRY":48768,"Ġfila":48769,"OLUMNS":48770,"INUE":48771,"ĠAnchor":48772,"TRAN":48773,"woo":48774,"blockquote":48775,"ĠNurse":48776,"ĠCarp":48777,"Ġredeem":48778,".try":48779,"ĠJP":48780,"Ġtimestamps":48781,"Ġ?>\"><":48782,"ĠREMOVE":48783,"ĠStarbucks":48784,"Really":48785,"Ġflooded":48786,".Callback":48787,"DropDown":48788,"ipro":48789,"Ġtended":48790,"lte":48791,"Ġproportions":48792,"-te":48793,"ĠRena":48794,"licate":48795,"forces":48796,".extra":48797,".authenticate":48798,"вод":48799,"¡°":48800,"ĠforControlEvents":48801,"Ġsenha":48802,"Ġkein":48803,"Ġminist":48804,"ĠPreference":48805,"ĠTelegraph":48806,"Ñĥп":48807,"strpos":48808,"Ġillnesses":48809,"Ġpigs":48810,"ĠgetIntent":48811,"Sol":48812,"Ġ¡":48813,"(cpu":48814,"[prop":48815,"screens":48816,"');?>":48817,"ĠActs":48818,"Ġstrdup":48819,"Ġaverages":48820,"anal":48821,"ĠCasual":48822,"GroupBox":48823,"ĠHandbook":48824,"/comments":48825,"Ġnumbered":48826,"Ġbroadcasting":48827,"çĽij":48828,".nativeElement":48829,".mu":48830,"ĠupdatedAt":48831,"ĠDoesn":48832,".AC":48833,".coll":48834,"Ġrecorder":48835,"_sha":48836,"Bg":48837,"bil":48838,"Ġbolts":48839,"Ġç¬":48840,"Ġimposing":48841,"ĠInformationen":48842,"_flashdata":48843,"economic":48844,"Remark":48845,"ucas":48846,"ĠOfficers":48847,"ĠTER":48848,"Walk":48849,"Ġmercado":48850,"_generate":48851,"HY":48852,"Calling":48853,"snap":48854,"scriptId":48855,".operation":48856,"ĠFlame":48857,"liness":48858,"Ġrented":48859,"_toggle":48860,"-changing":48861,"ĠTY":48862,"'util":48863,"EEP":48864,"Ġgraphql":48865,"ĠUni":48866,"Ġimpulse":48867,".Basic":48868,"Ġenergies":48869,"MARY":48870,"ĠMarcel":48871,"Ġmortal":48872,"Ġfres":48873,"mens":48874,"motion":48875,"Ġsampled":48876,"âĢľThat":48877,"iday":48878,"quipment":48879,"getInt":48880,"ĠAbsolute":48881,",'\"":48882,"uned":48883,".share":48884,"Ġ})(":48885,"mmm":48886,"ĠRising":48887,"ä»»":48888,"Ġunemployed":48889,"xfa":48890,".follow":48891,"ĉĉĉĉĠĠĠĠĠĠ":48892,"slt":48893,".Phone":48894,"Ġknives":48895,"Ġeve":48896,"onClick":48897,"]))čĊ":48898,"ĠWitness":48899,"ĉNS":48900,"ĠEOS":48901,"ĠStefan":48902,"ĠPriest":48903,"âĢĶwhich":48904,"GetString":48905,".By":48906,"Ġupstairs":48907,"Ġdetriment":48908,"broken":48909,"embro":48910,"Ġnicotine":48911,"ilion":48912,"Ġastonishing":48913,"_aff":48914,"ĠLesson":48915,"Ġaccidental":48916,"odor":48917,"Ġdecir":48918,"ĠnewName":48919,"+.":48920,"缸":48921,"igslist":48922,"ĠGithub":48923,"Ġsuccessive":48924,"racial":48925,"Ġenviron":48926,"éªĮè¯ģ":48927,"Ġredirected":48928,"TOTAL":48929,"Ġgrabbing":48930,"ĠLance":48931,"Ġforfe":48932,"_CB":48933,"å¾®":48934,"Elapsed":48935,"_way":48936,"(DialogInterface":48937,"_measure":48938,"xbb":48939,"Dog":48940,"Depart":48941,"-src":48942,"resolver":48943,"withstanding":48944,"_shell":48945,"ĠLastName":48946,"ĠAviation":48947,"Ġbeginner":48948,"(\"%.":48949,"(tool":48950,"Ġнов":48951,":init":48952,"(API":48953,"ĠMorrison":48954,"vtColor":48955,"Ġstaple":48956,"/INFO":48957,"Ġsupernatural":48958,"Ġsteak":48959,"timeline":48960,"zzle":48961,"\"`ĊĊ":48962,"Secondary":48963,"ĠNepal":48964,".StringUtils":48965,"Ġadam":48966,"Ġ(...":48967,"Ġsubstitution":48968,"Ġboarding":48969,"ĠKeyword":48970,"ĠAssault":48971,"dbcTemplate":48972,"ĠorderId":48973,"(engine":48974,".assertThat":48975,"ĠVenus":48976,"Ġhomicide":48977,"ĠAval":48978,"Ġgutter":48979,"ĠSupported":48980,"/part":48981,"Ġacclaimed":48982,"Histor":48983,"Ġmeses":48984,"über":48985,"ĠRenew":48986,"Ġgras":48987,"ĠEk":48988,"Ġinfile":48989,"indy":48990,".music":48991,".Scroll":48992,"ĠAges":48993,"ĠNaruto":48994,"ĠGather":48995,"Ġconfirming":48996,"=(\"":48997,"Ġpitched":48998,"oley":48999,"France":49000,"+'\"":49001,"$total":49002,"Ġonde":49003,"Ġditch":49004,"_sigma":49005,"Ġcontinuity":49006,"reward":49007,"-load":49008,"Ġproceso":49009,"Locked":49010,"staw":49011,"Ġspinal":49012,"lazy":49013,"!==":49014,"jest":49015,"Ġdun":49016,"ĠRodgers":49017,"ĉgrid":49018,"Ġlogos":49019,"ĠBengal":49020,".super":49021,"Provides":49022,"Ġnutrient":49023,".Timestamp":49024,"IZATION":49025,"åĨĮ":49026,"Ġfats":49027,"ĠXxx":49028,"ctica":49029,"Targets":49030,"Ġcontours":49031,"Ġreordered":49032,":Array":49033,"Ġtolerate":49034,"Vir":49035,"Ġterribly":49036,"Ġbricks":49037,"(&_":49038,"hb":49039,"Portal":49040,"ĠBread":49041,".which":49042,"ÂŃt":49043,"asInstanceOf":49044,"Ġjobject":49045,"ĉlength":49046,"_MT":49047,";\">čĊ":49048,"_EXIST":49049,"Ġmaternal":49050,"REL":49051,"Ġê²½ìļ°":49052,"hee":49053,"Ġlayouts":49054,"ĠLap":49055,"aisy":49056,"Ġstumbled":49057,"ĠUIG":49058,"ĠSco":49059,"Ġimpaired":49060,"RESSED":49061,"Ġabuses":49062,"VF":49063,"ARB":49064,".NAME":49065,"rch":49066,"primir":49067,"_completed":49068,"Ġpenny":49069,"Chrome":49070,"(begin":49071,"ernen":49072,"-checkbox":49073,"PlainOldData":49074,"ĠLPC":49075,"rade":49076,"spir":49077,"Ġconceived":49078,"Tips":49079,"ĠIoT":49080,"ĠGan":49081,"èģĶ":49082,"Ġbiases":49083,"Ġconsultants":49084,"pled":49085,"_ht":49086,"associated":49087,"],ĊĊ":49088,"Ġdelightful":49089,"ĠÑĤек":49090,"Helvetica":49091,"(load":49092,"-expand":49093,"_WIDGET":49094,"toa":49095,"ĠAkt":49096,"Ġomn":49097,"Ġclauses":49098,"Intel":49099,"*/}Ċ":49100,"_registration":49101,"ĠoldValue":49102,"Ġrestoring":49103,"Ġunreal":49104,"OVER":49105,"ĉĊĉĊĉĊ":49106,"ATS":49107,"_probe":49108,"Ġdivisor":49109,".updateDynamic":49110,"å¹³":49111,"Produces":49112,"stamp":49113,".jboss":49114,"ĉtask":49115,"!(:":49116,"Ġpsychic":49117,"@class":49118,"Martin":49119,"ĠPassed":49120,"clarations":49121,"hel":49122,"аÑĩ":49123,"ĉcopy":49124,"-bin":49125,"zan":49126,"igram":49127,"াà¦":49128,"(sig":49129,"ĠCaval":49130,"_##":49131,"Ġ%=":49132,"outlined":49133,"ĠAcid":49134,"Ġunpredictable":49135,"-dashboard":49136,"HexString":49137,"+c":49138,".Public":49139,"ẩ":49140,"Ġconveyor":49141,"ĠEB":49142,"Ġselects":49143,"Ġknocking":49144,"ĠCec":49145,"IBUTES":49146,"owaÄĩ":49147,"gatsby":49148,"*v":49149,"entropy":49150,"Ġdispatched":49151,"Ġcamel":49152,"ĠSaturn":49153,"Ġoverweight":49154,"(phone":49155,"parable":49156,"%B":49157,"_vectors":49158,"Ġbrewing":49159,"ĠTk":49160,"ĠDownloads":49161,"ĠSaved":49162,".Price":49163,"Ġcurved":49164,"ĠParenthood":49165,"è¶":49166,".pnl":49167,"pletely":49168,".Day":49169,"Ġadvertisers":49170,"Ġejec":49171,"Ġprzed":49172,"ë¯":49173,"!';Ċ":49174,"ĠKush":49175,"ĠTAB":49176,"Ġquests":49177,"Ġcoincidence":49178,"ummies":49179,"ĠKashmir":49180,"ĠEthics":49181,"_growth":49182,"Ġaktiv":49183,"Ġgrouping":49184,"å¢ŀ":49185,"_truth":49186,"åIJ¬":49187,"todos":49188,"iset":49189,"TexCoord":49190,"ätt":49191,"ĠZur":49192,"roys":49193,"_MAGIC":49194,"Ġbrewery":49195,"(State":49196,"ĠSMALL":49197,"ĠPlants":49198,"itbart":49199,"eacher":49200,"ĠAdelaide":49201,"Lu":49202,"Ġfick":49203,"undles":49204,"_loaded":49205,"ие":49206,"Poll":49207,"ritic":49208,"ELY":49209,"Ġ+'":49210,"ĠProfession":49211,"Ġstamps":49212,"ĠSew":49213,"scrollView":49214,"Ġcommunist":49215,"/problems":49216,"}čĊčĊčĊčĊ":49217,",o":49218,"Ġudp":49219,"Ġobese":49220,"approve":49221,"ancellation":49222,"_Game":49223,"ĠHashtable":49224,"adaptiveStyles":49225,"Ġpossesses":49226,".matcher":49227,"functional":49228,"Mrs":49229,"ĉsave":49230,"ĠDbType":49231,"Ġken":49232,"getContext":49233,"Ġmans":49234,"(rel":49235,"ĠBrotherhood":49236,")`Ċ":49237,"解":49238,".Information":49239,"OutOfRangeException":49240,"ĠSek":49241,"Cas":49242,"Ġbloggers":49243,"Either":49244,"(\"\"\"":49245,"Ġpinch":49246,"Ġcoarse":49247,")p":49248,"ĠPulse":49249,"Ġlearnt":49250,"Ġdentist":49251,"Ġonchange":49252,"Ġdirectives":49253,"(actions":49254,"nyder":49255,"ĠShir":49256,"Trait":49257,"_dep":49258,"ĠPET":49259,"ĠREP":49260,".AppSettings":49261,"cuador":49262,"idenav":49263,"Ġenvi":49264,"Ġslammed":49265,"ĠShoot":49266,"ĠdateFormat":49267,".joda":49268,"veys":49269,"Ġ).ĊĊ":49270,"Ġcareg":49271,"ĠParallel":49272,"_translation":49273,".functions":49274,".obs":49275,"RuntimeException":49276,"[]=":49277,"overview":49278,"ĠSchl":49279,"Ġnoisy":49280,"ĠOnPropertyChanged":49281,"Sending":49282,"Ġunfamiliar":49283,"Upon":49284,"ĠPrints":49285,".typ":49286,"Ġfleeing":49287,"ĉmove":49288,"(Un":49289,"Ġqr":49290,"׾":49291,"_beta":49292,"Ġskies":49293,"ĉme":49294,"WND":49295,"Ġstickers":49296,"blas":49297,"Ġinserts":49298,"Ġverses":49299,"ĠDew":49300,"Ġtangible":49301,"Ġhecho":49302,"POL":49303,"Ġteardown":49304,"omnia":49305,"IBE":49306,".cover":49307,"_strategy":49308,"^-":49309,"setPosition":49310,"uale":49311,"Signed":49312,"Ġiface":49313,"aseline":49314,".setTime":49315,"ĠMineral":49316,"ĠFighting":49317,"skins":49318,"Ġdiscrimin":49319,"Ġdansk":49320,"ĠPrinceton":49321,"acist":49322,"Ġ());Ċ":49323,"tracks":49324,"imonial":49325,"adecimal":49326,"EPROM":49327,"uggle":49328,".Notification":49329,"$mail":49330,"cantidad":49331,"ĠJung":49332,"Ġseekers":49333,"Ġplausible":49334,"tier":49335,"еж":49336,"Ġrapper":49337,"ĠMana":49338,"ĠHttpStatusCode":49339,"Ġburnt":49340,"loses":49341,"ĠFoto":49342,"ĠJsonObject":49343,"Instagram":49344,"Ġsyscall":49345,"Ġrealities":49346,"ĠMATLAB":49347,":^{Ċ":49348,"TERM":49349,"ĠCbd":49350,"ĠParagraph":49351,"Ġtravés":49352,"Ġconstructing":49353,"Ġswal":49354,"Ġpige":49355,"LLLL":49356,"-existing":49357,"Gets":49358,"Ġmelted":49359,"Ġmitigate":49360,"Hen":49361,"Ġhm":49362,"imas":49363,"ĠAo":49364,"ĠPerez":49365,"ĠDAL":49366,"Ġëĭ¤":49367,"Ġdivis":49368,"StoryboardSegue":49369,"ĠModify":49370,"ĠÃľber":49371,"_OVERRIDE":49372,".pem":49373,"untos":49374,"Ġespañ":49375,"Ġ{?":49376,"ĠPAY":49377,"_ipv":49378,"ĠFury":49379,"__.__":49380,"elow":49381,"-centered":49382,"checks":49383,"_Reg":49384,"-Javadoc":49385,"ĉload":49386,"ĠLikewise":49387,"اÙħ":49388,"UNE":49389,".sem":49390,"xcb":49391,"ĠCave":49392,"_sleep":49393,"Ġsilently":49394,"ĠExtreme":49395,".ToUpper":49396,"ĉCHECK":49397,"Ġcue":49398,"ĠQByteArray":49399,"Ġcorrupted":49400,"ĠDé":49401,"Ġimped":49402,"GetName":49403,"Ġinaccurate":49404,"Ġsober":49405,"ее":49406,"Ġbarcode":49407,"--){Ċ":49408,"inki":49409,"Ġép":49410,"Ġdri":49411,"ĠALT":49412,">>>>>>>>":49413,"onta":49414,"[L":49415,"Ġinteres":49416,"verting":49417,"Ġdiagnostics":49418,"pdev":49419,"è©":49420,"ĠIntegrated":49421,").'":49422,"_gc":49423,"$text":49424,".games":49425,"ĠTerra":49426,"'Re":49427,".transfer":49428,"_FIFO":49429,"getModel":49430,"Ġbland":49431,"ĠColeman":49432,"Ġprimes":49433,"ĠæĪ":49434,"Ġcrosses":49435,"nk":49436,"GING":49437,"Ġ'^":49438,"ĠBlob":49439,"Ġintercourse":49440,"ĠBlvd":49441,"Ġweighs":49442,"_regular":49443,"ĠPerth":49444,"Ġseparating":49445,"Ġbilled":49446,".tabControl":49447,"Ġpuppet":49448,"Ġutilization":49449,"Ġâĸł":49450,"Ġsucces":49451,"Ġlamps":49452,"_proj":49453,"Eric":49454,"Ġrenovation":49455,"ĠFamilies":49456,"ĠBits":49457,"partials":49458,"-Men":49459,"solution":49460,"Ġdwarf":49461,".INTEGER":49462,"ĠLOCK":49463,".ct":49464,"Ġexcerpt":49465,"ĠPix":49466,"ĠFirstName":49467,"ANTED":49468,"ĠAdmir":49469,"-help":49470,"Prior":49471,"ĠAlign":49472,".INSTANCE":49473,"LineEdit":49474,"('/:":49475,"Ġinet":49476,"odus":49477,".pkl":49478,"ĠKY":49479,"upert":49480,"Ġnerves":49481,"_gradient":49482,"}','":49483,"_unref":49484,"Ġsaturated":49485,"ĠConnected":49486,"ĠFN":49487,"EXIT":49488,"Ġteleport":49489,"Ġavait":49490,"PageRoute":49491,"Ġdivorced":49492,"(lang":49493,"fst":49494,"ĠTyr":49495,"Ġmessenger":49496,"ifstream":49497,"XS":49498,"ĠBanking":49499,"Ġinfectious":49500,"ĠMons":49501,"_LOOP":49502,"Ġzurück":49503,"Ġobtener":49504,"/repos":49505,"Vel":49506,"acro":49507,"ĠuserRepository":49508,"styleType":49509,"ĠSRC":49510,"VMLINUX":49511,"recursive":49512,"/bar":49513,"_chip":49514,"ominated":49515,"ĠNit":49516,"âĢĶto":49517,"ĠBuddh":49518,"омеÑĢ":49519,"ĠMAG":49520,"ĠCHE":49521,"_den":49522,".raises":49523,"_degree":49524,"Ġpumpkin":49525,"_templates":49526,"_MEDIA":49527,"ĠTimeline":49528,"Ġbots":49529,"ObjectType":49530,"Ġbuys":49531,".posts":49532,"CAL":49533,"waiting":49534,"ĠDaniels":49535,"Ġdabei":49536,"ĠSigma":49537,"ilor":49538,"igel":49539,",W":49540,"ADS":49541,"(panel":49542,"ì²´":49543,"itating":49544,".palette":49545,"Ġmosquito":49546,"Ġtego":49547,"(parseInt":49548,"Ġdespués":49549,"promise":49550,"Ġwij":49551,"typescript":49552,"ĠTv":49553,"_IDENTIFIER":49554,").ĊĊĊ":49555,"_flat":49556,"itsu":49557,"USR":49558,"experience":49559,"-fit":49560,"phinx":49561,"_thresh":49562,"Ġideally":49563,"ĠFreeman":49564,",DB":49565,"_rw":49566,"çŃī":49567,"Ub":49568,"_statistics":49569,"=\"\"><":49570,"Ġchore":49571,"Ġyork":49572,"installed":49573,"Additionally":49574,"Ġpstmt":49575,"ylko":49576,"::Ċ":49577,"Forest":49578,"Ġheadset":49579,"Ġgallon":49580,"ÑĢем":49581,"Ġwithdrawn":49582,"ĠCandidate":49583,"Ġmelting":49584,"Ġfreezer":49585,"Ġhl":49586,"_HELP":49587,"mime":49588,"(/*":49589,"Ġthirst":49590,"$return":49591,"memberof":49592,"еб":49593,"ĠHttpServletRequest":49594,"(ob":49595,"_Result":49596,"Ġasserted":49597,"Ġfulfilling":49598,"Ġstretches":49599,"parated":49600,"-funded":49601,"ĠåĽ":49602,"ingles":49603,"_ca":49604,".condition":49605,"ĠDisplays":49606,"Ġorang":49607,"ĠCRE":49608,"ĠglBind":49609,"ĠSelector":49610,"/type":49611,"ĠAlexa":49612,"chedules":49613,"ĠPeninsula":49614,"Ġparity":49615,"ĉdest":49616,"ĠDoors":49617,"čĊĉčĊ":49618,"_dimension":49619,"Ġaload":49620,".StoredProcedure":49621,"(paren":49622,"ĠBurke":49623,"')]Ċ":49624,"-engine":49625,"Ġquir":49626,"ĠHybrid":49627,"ĠDoe":49628,"Ġoutlines":49629,"ĠTrends":49630,"_NV":49631,"periments":49632,"ĠHin":49633,"?',":49634,"ĉText":49635,"FUL":49636,"Ġsmells":49637,"Ġslick":49638,"Ġmiserable":49639,"ĠArrayAdapter":49640,"ĠparamString":49641,"Hom":49642,"_literals":49643,"usuarios":49644,"Ġprompting":49645,"_lazy":49646,"ĠActivation":49647,"_oc":49648,"Weak":49649,"Ġanecd":49650,"ĠUCLA":49651,"=re":49652,"issement":49653,"ĠEscorts":49654,"Excellent":49655,"ĠPause":49656,"Ġrepositories":49657,"TOR":49658,"ariate":49659,"_iso":49660,"updates":49661,"halb":49662,"udiante":49663,"ë¡Ŀ":49664,"Ġnaive":49665,"ĠPeg":49666,"ĠLounge":49667,"ARGIN":49668,"(bin":49669,"OnClickListener":49670,"ĠFAILED":49671,"Ġlite":49672,"Ġdzie":49673,"ĠLiteral":49674,"ivor":49675,"fcntl":49676,"Ġeats":49677,"Ġqed":49678,"Unlock":49679,"riding":49680,"undai":49681,"=M":49682,"ATTER":49683,"ConfigureAwait":49684,"icias":49685,"ustomed":49686,"Ġsuccession":49687,"endTime":49688,"ĠJupiter":49689,"Ġjudging":49690,"dration":49691,"_docs":49692,".mo":49693,"Ġeducators":49694,"ĠVine":49695,"Cond":49696,"[out":49697,"qb":49698,"\\Validator":49699,"Ġmeanings":49700,"Ġpresently":49701,"Ġdividing":49702,"ottenham":49703,"ascular":49704,"Ġtrailers":49705,"ĠCLOSE":49706,"ами":49707,"âĢĻai":49708,"ĠGain":49709,"wor":49710,"Ġplanner":49711,"Ġdistributing":49712,"vat":49713,"months":49714,"xlabel":49715,"HF":49716,"Viol":49717,".BASELINE":49718,"еÑĤÑģÑı":49719,"ĠRotate":49720,"Ġtxn":49721,":bold":49722,"Ġbloss":49723,"Forgery":49724,"(embed":49725,"Ġjako":49726,"sprintf":49727,"their":49728,"Ġexhibits":49729,"-static":49730,"hecy":49731,"getActiveSheet":49732,".clients":49733,"ãģį":49734,"_hide":49735,"[word":49736,"Cb":49737,"addItem":49738,"axe":49739,"_radio":49740,"alion":49741,"modifier":49742,"Ġsaturation":49743,"Ġdenom":49744,"_pixels":49745,"mess":49746,"(fl":49747,"atif":49748,"Ġsecs":49749,"Ġprostitution":49750,"Ġgrandchildren":49751,"Ġparadise":49752,"ĠFeld":49753,"_BINARY":49754,"itous":49755,"à¹Ħ":49756,"Ġflashing":49757,"-sided":49758,"Ġcontradiction":49759,"/*ĊĊ":49760,"ylabel":49761,"ĠTet":49762,"Ġadmire":49763,"reso":49764,"Ġletz":49765,"ĠSEARCH":49766,"slots":49767,"ĠRewards":49768,"ĠHog":49769,"ĠNSData":49770,"stash":49771,"Fall":49772,"ĠAmer":49773,"LinearLayout":49774,"/photos":49775,"Ġfeather":49776,"Ġ|čĊ":49777,"Downloads":49778,".StartsWith":49779,"Ġ//#":49780,"ineTransform":49781,"Ġaffid":49782,"Vtbl":49783,"ĠRogue":49784,"scribed":49785,"Ġfauc":49786,"ĠMonroe":49787,"Ġdeclares":49788,"modern":49789,"reon":49790,"aybe":49791,"PASS":49792,"fers":49793,"_MULTI":49794,"ĠMathematics":49795,"Ġsudah":49796,"_ATTACH":49797,"ĠnumberWith":49798,"ĠSolomon":49799,"jin":49800,"ografia":49801,"öl":49802,"_design":49803,"culated":49804,"ĠLuna":49805,"iesz":49806,"Ġ=>'":49807,"Ġrevelations":49808,"Along":49809,"(ed":49810,"ĠFilename":49811,"Ġylabel":49812,"Secure":49813,"Ġbusca":49814,"agnosis":49815,"_RECE":49816,"Ġoverlapping":49817,"Extent":49818,"Ġanticipation":49819,"Checks":49820,"ĠALSO":49821,"orc":49822,"ilingual":49823,"itational":49824,"Ġadvancement":49825,"ouro":49826,"ĠPredicate":49827,"å¾Ĺ":49828,"eria":49829,"ĠPierce":49830,"orio":49831,"Ġmerits":49832,"Ġpeanut":49833,".Package":49834,"ĠConduct":49835,"_SENSOR":49836,"Ġboiling":49837,"Ġintra":49838,"ĠIGN":49839,"ĠFur":49840,".Refresh":49841,"ĠReach":49842,"_decoder":49843,".Exp":49844,"ĠÑĤак":49845,"pill":49846,",Q":49847,"ĠGrill":49848,"Ġpopping":49849,".Ag":49850,"Ġproyecto":49851,"Ġmileage":49852,"Ġecological":49853,"]]);Ċ":49854,"ĠÂŃ":49855,"subplot":49856,"acad":49857,"ĠTrying":49858,"recipes":49859,"$criteria":49860,"ĠPersian":49861,"-bound":49862,"MASK":49863,"ĠGesture":49864,"Ġkk":49865,"ĠPVC":49866,"Ġprohibition":49867,"Ġcomando":49868,"ĠLOOK":49869,"Shopping":49870,"Ġdistortion":49871,"čĊ":49917,".Dependency":49918,".QueryString":49919,".Owner":49920,"Ġexpiry":49921,"Thu":49922,"(Vec":49923,"Ġhazardous":49924,"Ġrpm":49925,"APON":49926,"ĠaddTarget":49927,"sville":49928,"pNet":49929,"ĠImg":49930,"ĠTIMER":49931,".Animation":49932,"Ġbek":49933,"Ġassort":49934,"Ġlebih":49935,"ĠbodyParser":49936,"Ġvibrating":49937,"IDL":49938,"Ġbutterknife":49939,"inters":49940,"Ġpersuade":49941,"ĠLGBTQ":49942,"èĭ":49943,".soft":49944,"Ġbeams":49945,"_sur":49946,".Def":49947,"Ġlabs":49948,"ĉplt":49949,"Ġskins":49950,"Ġtransferring":49951,"Ġimaginary":49952,"_End":49953,";background":49954,"Ġlaps":49955,"_COMMENT":49956,"(SDL":49957,"onds":49958,".Record":49959,"ĠImplements":49960,"_ticks":49961,"()))ĊĊ":49962,"Ġarose":49963,"]?":49964,"ĠMp":49965,"ĠICommand":49966,"Ġsculpture":49967,"Ġcontracted":49968,"\">'":50446,"kinson":50447,"Ġкол":50448,"ognitive":50449,"_li":50450,"Ġimminent":50451,"Ġaffinity":50452,".signal":50453,"Ġnotch":50454,"ĠSteelers":50455,"maxlength":50456,"KK":50457,"ĠEugene":50458,"_PWM":50459,"roi":50460,"ĠâĹı":50461,"ĠHamburg":50462,".Must":50463,"Ġaxe":50464,"enef":50465,"Ġambitions":50466,"ĠSpecies":50467,"ĠStress":50468,"Ġawhile":50469,"ĠбÑĥд":50470,"Ġwithstand":50471,"ĠDecoder":50472,"_inventory":50473,"Ġ{ččĊ":50474,"Ġtgt":50475,"Ġrailroad":50476,"WASHINGTON":50477,"Ġnegotiated":50478,"NST":50479,"-phone":50480,",U":50481,"Ġexercising":50482,"ụ":50483,"_PIXEL":50484,"avors":50485,"iterated":50486,"Ġvampire":50487,"adal":50488,"Ingrese":50489,"Ġung":50490,"jective":50491,".cells":50492,"Ġnano":50493,"Ġmarkdown":50494,"_RULE":50495,"(events":50496,"Ġluggage":50497,"MESSAGE":50498,"igkeit":50499,"$count":50500,"AttributeName":50501,"IGINAL":50502,"_Ent":50503,"ĠBF":50504,"ĠCOMMENT":50505,"_ini":50506,"ĠEuropeans":50507,"ĠBelle":50508,"åij½":50509,")['":50510,"åºĶ":50511,"ĠUseful":50512,".reference":50513,"()\",":50514,"_grade":50515,"ĠKaw":50516,"Ġsentencing":50517,"Ġsocialism":50518,"monster":50519,"_LAYER":50520,"Ġdeepest":50521,"wk":50522,"ĠNoise":50523,"###ĊĊ":50524,"Ġpréc":50525,"otle":50526,"ÑĤе":50527,"auf":50528,"ibal":50529,"Ġconquer":50530,">Email":50531,"Ġambulance":50532,"OAD":50533,"Ġ(\"%":50534,"ĠFI":50535,".fixture":50536,"Ġterse":50537,"ĠĠĠĠĉĉĉĉ":50538,"Ġsanctuary":50539,"ugi":50540,"ĠComparator":50541,"Definitions":50542,"Ġasthma":50543,"Ġlact":50544,"Ġhardwood":50545,".clock":50546,"Ġattracting":50547,"ĠMour":50548,"(distance":50549,"icits":50550,"Ġbonne":50551,"ĠACCESS":50552,".DeserializeObject":50553,"ĠTyped":50554,"Ġjeu":50555,"ĠappId":50556,"ĠClara":50557,"ĠHF":50558,"ĠReich":50559,"ipples":50560,"//--------------------------------------------------------------------------------":50561,"_delivery":50562,"erialization":50563,"Ġplaintiffs":50564,"Scient":50565,"shopping":50566,"ĠDummy":50567,"ĠWald":50568,"GroupName":50569,"Ġinscription":50570,"elog":50571,"::::::::":50572,"_ld":50573,"BackPressed":50574,".Raw":50575,"ĠOnTrigger":50576,"Ġmuseums":50577,"ĠBeen":50578,"ĠAdventures":50579,"Ġslate":50580,"Ġlett":50581,"Ġsund":50582,"ĠGin":50583,"ĠMechanical":50584,".ship":50585,"AppComponent":50586,"Ġdestined":50587,"Ġdwelling":50588,"Profiler":50589,"Prepare":50590,"zeich":50591,"Ġsilicon":50592,"(has":50593,"Ġ#%":50594,"VIDEO":50595,"Ġcollaborate":50596,"Lin":50597,"Ġscopes":50598,"(className":50599,"(sd":50600,"andin":50601,".ham":50602,"ServiceImpl":50603,"-described":50604,"Ġirony":50605,"stial":50606,"ĠHuawei":50607,"(repo":50608,"Ġunexpectedly":50609,"ĠKai":50610,".install":50611,"\\xf":50612,"Ġexhibited":50613,"_TCP":50614,"ĠOx":50615,"_CHO":50616,"Ġprostituerte":50617,"Ġvä":50618,"Ġsito":50619,"Ġconstituents":50620,"ĠContinued":50621,"ĠSAVE":50622,"rss":50623,"/message":50624,"ubes":50625,"Ġmisdemean":50626,"Ġtaxation":50627,"Ġstoryline":50628,"hair":50629,"ĠFinds":50630,"SIG":50631,"verification":50632,"~=":50633,".hp":50634,"Iterable":50635,"Ñĭе":50636,"atori":50637,"Ġctr":50638,"Rx":50639,"_);ĊĊ":50640,"dag":50641,".pin":50642,"Ġpseud":50643,"Ġinvo":50644,"ÑģÑĤÑĢ":50645,"_pix":50646,"为空":50647,"Ġsworn":50648,"âĢĶor":50649,"_registry":50650,"Ġdisasters":50651,"ĠROI":50652,"ĠâĢķ":50653,"aktu":50654,"forest":50655,"beiten":50656,"âĢĶI":50657,"ueva":50658,"egt":50659,"Ġspikes":50660,"URES":50661,"ĠRecommended":50662,"Ġexploited":50663,"ĠFrederick":50664,"_COMPLETE":50665,"ĠDrugs":50666,"!!!!!!!!":50667,"ĠRiv":50668,"STOP":50669,"ROOM":50670,"ĠPASSWORD":50671,"Cookies":50672,".El":50673,"á»Ń":50674,"ĠBert":50675,"Ġhashed":50676,"icester":50677,"Ġdecorator":50678,"ĠqueryString":50679,":;Ċ":50680,"Ġ\"[\"":50681,"otope":50682,"-Americ":50683,"ĠMatthews":50684,"URAL":50685,"âĢľ,":50686,"Summer":50687,"fos":50688,"_CONTAINER":50689,"_ACK":50690,"Ġfiltr":50691,"_disp":50692,"_Re":50693,"Ġfacile":50694,"аÑĪ":50695,"ĠìķĬ":50696,"Ġeben":50697,"Ġsprink":50698,"ĠQuint":50699,">V":50700,"Ġhistorians":50701,"ourmet":50702,"ĠMonitoring":50703,"ledger":50704,"cott":50705,"Ġware":50706,"GGLE":50707,"cars":50708,"ĠMEDIATEK":50709,"Ġvolupt":50710,"_View":50711,"HEL":50712,"(copy":50713,"(stats":50714,"Ġchromosome":50715,"ĠCurtis":50716,"-conf":50717,"(asset":50718,"Ġhvor":50719,"FileSystem":50720,"<>();čĊ":50721,"ocoder":50722,"ĠCannon":50723,")x":50724,"ĠSmooth":50725,"ĠSAS":50726,"_ce":50727,"ĉprev":50728,"_movie":50729,"Ec":50730,"_wall":50731,".ĊĊ":51278,"ogenesis":51279,"ĠOPTIONS":51280,"uptools":51281,"Ġmilitant":51282,"Ġexited":51283,"igar":51284,"ĠCOMM":51285,"ĠDisposable":51286,"aycast":51287,"Ġrowspan":51288,"Ġsynthes":51289,"Ġsondern":51290,"ĠĊ":54769,"ĠJacket":54770,"RATION":54771,".getSelectedItem":54772,"-init":54773,"ĠRegisters":54774,"_sep":54775,"ĠToolkit":54776,".dict":54777,"Ġxlabel":54778,"\\Table":54779,"toc":54780,"_combo":54781,"ĠCompact":54782,"Ġrugged":54783,"à¥ĩà¤":54784,"-management":54785,"')}}\">Ċ":54786,"ĠStamp":54787,"ıl":54788,"rox":54789,"Ġlandscapes":54790,"_NOTE":54791,"monary":54792,"cab":54793,"Ġmoet":54794,"xaf":54795,"rcode":54796,"-cli":54797,"_gate":54798,"[event":54799,"SPORT":54800,"gia":54801,"ĠSUPER":54802,"/Login":54803,"_shutdown":54804,"interrupt":54805,"Ġpretending":54806,"Ġfringe":54807,"ĠReds":54808,"ĠCUDA":54809,"ĠUNIX":54810,"vit":54811,"Ġbrig":54812,"drv":54813,"ĠConnector":54814,"Therefore":54815,"Ġlia":54816,"Detection":54817,"_actor":54818,"Ġtempfile":54819,"Ġeccentric":54820,"-role":54821,"Ġpadx":54822,"dent":54823,"Western":54824,"Ġê·¸":54825,"ĠApplicationRecord":54826,"Ġcampaigning":54827,"_runner":54828,"ĠCivic":54829,"aleigh":54830,"Ġdirekt":54831,".sul":54832,"ĠĠĉĉĉ":54833,"anten":54834,"Ġissuer":54835,"Ġassertions":54836,"(orig":54837,"ATIO":54838,"Ġleaned":54839,"äs":54840,".DTO":54841,"explode":54842,".Observable":54843,"Ġstaggering":54844,"Ġkidnapped":54845,"Ġprogrammers":54846,"ĠInnov":54847,".parameter":54848,"Ġdomination":54849,"Ġskeptic":54850,"Ġæĺ¯":54851,"Ġavoids":54852,".Verify":54853,"ubby":54854,"ĠASN":54855,"Ġformato":54856,"ĠBeatles":54857,"_brand":54858,"Ġinset":54859,"youtu":54860,"Ġtoc":54861,"-final":54862,"Showing":54863,"ĠDoub":54864,"ĠMesa":54865,"Adj":54866,"_medium":54867,"Creates":54868,"(endpoint":54869,"ĉUP":54870,"bbie":54871,"Ġstalk":54872,".databind":54873,".Scan":54874,"agents":54875,"$,":54876,"individual":54877,"+)/":54878,"ĉvm":54879,"(notification":54880,"Ġinex":54881,"ĠClassification":54882,"reno":54883,"Ġolig":54884,"-rated":54885,"Ġformulation":54886,"',{":54887,"Ġacept":54888,"_unpack":54889,"_CA":54890,".Pow":54891,"ĉim":54892,"Ġaluminium":54893,"ANO":54894,"Ġxn":54895,"Ġcómo":54896,"ĠIngredient":54897,"Ġseizures":54898,"åħ±":54899,"ificador":54900,"Ġsiguiente":54901,"ĠInfragistics":54902,"Ġduplicated":54903,"ĠDee":54904,"Ġnø":54905,"ĠACCEPT":54906,"(crate":54907,"иÑĤелÑĮ":54908,"-less":54909,"Ġinfinity":54910,"Analyzer":54911,"-Day":54912,"ritt":54913,"(cin":54914,"ĠGy":54915,"Ġmultiplied":54916,"uchi":54917,"ĠBaldwin":54918,"/ip":54919,"Ġshortcuts":54920,".ADD":54921,"Ġvigor":54922,"_instruction":54923,"(;":54924,"_eta":54925,"è¿ŀ":54926,"utorials":54927,"Ġboosting":54928,"bv":54929,"Ġacknowledges":54930,"Listening":54931,"FAQ":54932,";b":54933,"((-":54934,"Ġarchitects":54935,"Ġzwe":54936,"Ġpuls":54937,"ĠgetCount":54938,"verbs":54939,"ãĢľ":54940,"(Collection":54941,"kre":54942,"Ġjurisdictions":54943,"_bridge":54944,"ĠCrack":54945,"ĠDifficulty":54946,"KO":54947,"Reservation":54948,"_requires":54949,"Tour":54950,"ãģĹãģŁ":54951,".setCurrent":54952,"Ġky":54953,"ĠAlbany":54954,"Ġè§":54955,"ller":54956,"agna":54957,"workers":54958,".blank":54959,"ĠPrayer":54960,"MIC":54961,"Ġresilience":54962,"TeX":54963,"ĠLanguages":54964,"study":54965,"ĉcurr":54966,"Ġenzymes":54967,"Slug":54968,"ĠíĮĮ":54969,"stral":54970,"Ġtumors":54971,"Ġsegunda":54972,"='{":54973,"instruction":54974,"ĠLisp":54975,"/info":54976,"Ġ\"{$":54977,",:),":54978,"Ġgv":54979,"(ErrorMessage":54980,"Ġ'=":54981,"}-${":54982,".Documents":54983,"\"Well":54984,"Ġreminiscent":54985,"Ġgaz":54986,"iropr":54987,"ehr":54988,"Ġsuppressed":54989,"ersh":54990,".scrollTo":54991,"Ġcadena":54992,"ĠgameState":54993,"ÃŃm":54994,"(conv":54995,"ĠTomorrow":54996,"ĠCCT":54997,"Mongo":54998,"ulg":54999,".Camera":55000,".handlers":55001,"mph":55002,"Ġstk":55003,"Ġgenetics":55004,"ACING":55005,"Trivia":55006,"ĠBam":55007,"(marker":55008,".Stretch":55009,"ĠSunni":55010,"ĠBetty":55011,".tolist":55012,"unlikely":55013,".Rectangle":55014,"obsolete":55015,"ILON":55016,"innerText":55017,"embourg":55018,"aN":55019,"ĠVehicles":55020,"unlock":55021,":utf":55022,"nob":55023,"ĠSeeing":55024,"ĠNEVER":55025,"Ġtls":55026,"Ġfilles":55027,"Ġbenefited":55028,"ĠClint":55029,"*/),":55030,".fold":55031,"Ġposible":55032,"ADED":55033,"thouse":55034,".DAL":55035,"ĠOdd":55036,"rokes":55037,"ĠSunny":55038,"ĠPartialEq":55039,"_Buffer":55040,"ĠLevi":55041,"longrightarrow":55042,"eldon":55043,"gages":55044,"_warn":55045,".CreateTable":55046,"ĠDip":55047,"_questions":55048,".logic":55049,"Ġ#\"":55050,"={()=>":55051,"Ġtep":55052,"Ġjuicy":55053,"ìĤ¬":55054,"enko":55055,"ialect":55056,"Ùī":55057,"Ġonboard":55058,"Ġæı":55059,"ĉrt":55060,"_UTF":55061,"ĠQAction":55062,"âĢŀ":55063,"(Component":55064,"(audio":55065,".hit":55066,"gte":55067,"Ġprogrammed":55068,"stateParams":55069,"Ġpolyester":55070,"fires":55071,"byss":55072,"]=(":55073,"_quality":55074,"OfDay":55075,"ĠFairy":55076,"Ġyelled":55077,"opl":55078,"(userName":55079,"ĠDifference":55080,"Ġevaluations":55081,"iffany":55082,"Ġcyclists":55083,"Ġcidade":55084,"Ġtextbook":55085,"Ġprofiling":55086,"__),":55087,"dea":55088,".activate":55089,"Ġindications":55090,"Ðķ":55091,"TouchUpInside":55092,"Ġinvaluable":55093,"ĠMASK":55094,"Ġcontend":55095,"Freq":55096,"Ġrecruits":55097,"(interval":55098,"ĠUserProfile":55099,"Ġ'./../":55100,"edu":55101,"_Callback":55102,"Ġanalogy":55103,"ĠTrophy":55104,"apphire":55105,"Videos":55106,"ĠCher":55107,"ĠHav":55108,"âĢ¦\"":55109,".validator":55110,"gfx":55111,"ĠUObject":55112,"classnames":55113,"triangle":55114,"ĠEncoder":55115,".spy":55116,"Ġpredators":55117,"=status":55118,"-safe":55119,":\",Ċ":55120,"ĠIncluding":55121,"Ġ{};čĊ":55122,"*cos":55123,"Ġendured":55124,".sulake":55125,"Ġnursery":55126,"Ġfragrance":55127,"Ġrebuilding":55128,"Ġnth":55129,"ĠFraser":55130,".setDate":55131,"ĠVince":55132,"_REST":55133,"Ġventilation":55134,"æµ·":55135,"cribes":55136,".asm":55137,"lpVtbl":55138,"ĠAbe":55139,"uisine":55140,",array":55141,"ĉclassName":55142,"errals":55143,"Ġ'ĊĊ":55144,"Checkout":55145,"Ġsolicit":55146,"Aux":55147,"_capture":55148,"Ġribs":55149,"ragon":55150,"viol":55151,"topics":55152,"FunctionFlags":55153,"ĠMarty":55154,"bike":55155,"ĠTucker":55156,"(kernel":55157,"ĠOps":55158,"CloseOperation":55159,"/demo":55160,"ilda":55161,"ĠlÃŃnea":55162,"APPING":55163,"Ġsuites":55164,".visitVarInsn":55165,"urus":55166,"ĠMinute":55167,"(manager":55168,"Ġbutterfly":55169,"Ġapare":55170,"Ġwolves":55171,"JWT":55172,"ĠSalon":55173,"ĉdelay":55174,"-eslint":55175,"isations":55176,".rpc":55177,")|(":55178,"ĠSnapchat":55179,"/mm":55180,"MN":55181,"ceries":55182,".textAlignment":55183,"ĠFrankfurt":55184,"Ġado":55185,"(newValue":55186,"(access":55187,"(Expression":55188,"ĠSignIn":55189,"ĠHaiti":55190,"_tp":55191,".setParameter":55192,"Minute":55193,"Ġmanuals":55194,"ricanes":55195,"ĠPTR":55196,"ĠOuter":55197,"Ġgetline":55198,"ocations":55199,"_CD":55200,"ĠLyon":55201,"/gui":55202,"_live":55203,"idan":55204,".geom":55205,"ĠborderBottom":55206,"imuth":55207,"_checkpoint":55208,"Ġmeu":55209,"ĠIrving":55210,"Ġpeuvent":55211,"(MAX":55212,"ĠARCH":55213,"Ġpov":55214,".sourceforge":55215,"Ġjamais":55216,"Ġark":55217,"ĠBaghdad":55218,"ĠCLEAR":55219,"MenuBar":55220,"Ġtrois":55221,"CHEDULE":55222,"Ġ#čĊ":55223,"(Call":55224,"$order":55225,"(Material":55226,"Ġencontrado":55227,"$list":55228,"ĠMETHODS":55229,".beginTransaction":55230,"_MAG":55231,"StyleSheet":55232,"Ġmajors":55233,"Ġindefinitely":55234,"cleanup":55235,"Ġhomeland":55236,"(dto":55237,"Dates":55238,"Presentation":55239,"ĠDK":55240,"={`/":55241,"ĉKey":55242,"(Block":55243,"_checkbox":55244,"needs":55245,"ĠonComplete":55246,"rico":55247,"Ġgleich":55248,"Ġxm":55249,"OOD":55250,"Better":55251,"ĠSQLITE":55252,".Book":55253,"xad":55254,"ĠGone":55255,"ĉdp":55256,"Ġdevotion":55257,"Ġstm":55258,"Ġobsess":55259,"ĠBackend":55260,"Queries":55261,"Ik":55262,"//****************************************************************":55263,"Ġdividends":55264,".parentElement":55265,"}\")ĊĊ":55266,"ĠMaterialPageRoute":55267,":num":55268,"Ġexplic":55269,"ĠOL":55270,"least":55271,"Oops":55272,"imentos":55273,"Ġinsurers":55274,"Ġheroic":55275,"ĉfields":55276,".imgur":55277,".btnCancel":55278,"ĠDetective":55279,"(sm":55280,"ĠMutableLiveData":55281,".lab":55282,"(([":55283,"Ġhairst":55284,"ĠTransactions":55285,"å¼Ģå§ĭ":55286,"ĠstdClass":55287,"uento":55288,"GIS":55289,"_cod":55290,"Instructions":55291,"Calls":55292,"PointerType":55293,"ĠRw":55294,"Ġassortment":55295,"ĠDIG":55296,"+r":55297,"_CERT":55298,"Ġinstability":55299,"Ġvib":55300,"onas":55301,"Ġroku":55302,"apellido":55303,"Ġangl":55304,"preneur":55305,"Ġfluids":55306,"isease":55307,"Ġdeed":55308,"quist":55309,"_CONSTANT":55310,"Ġequilibrium":55311,"_delegate":55312,"ĠQuantum":55313,"rei":55314,"Capabilities":55315,"rectangle":55316,"?><":55317,"alien":55318,"ĠJug":55319,"DNA":55320,"Tickets":55321,"Occurs":55322,"ĠHawk":55323,".setHorizontalGroup":55324,"\\Collection":55325,"ffiti":55326,"Ġrearr":55327,".setVerticalGroup":55328,"Ġcavity":55329,"Ġadulte":55330,"Facade":55331,"-wh":55332,"ĠLOL":55333,"Ø°":55334,"Ġgrandparents":55335,"Swift":55336,"ĉwx":55337,"æīĢæľī":55338,"ifen":55339,"ffset":55340,"Beyond":55341,"//}ĊĊ":55342,"Ġwager":55343,"Ġbury":55344,"Ġcommence":55345,"registro":55346,"scient":55347,"ĠPercent":55348,"Ġдолж":55349,"(identifier":55350,".setModel":55351,"Ġseldom":55352,"nton":55353,"Ġappliance":55354,"amus":55355,"rysler":55356,"Ġpanties":55357,"enguins":55358,"Ġmimic":55359,"ĠonChanged":55360,"Ġalcoholic":55361,".reloadData":55362,"Charge":55363,"ĠFax":55364,"ĠjScrollPane":55365,"Empresa":55366,"Ġshattered":55367,"xba":55368,"Fonts":55369,"?s":55370,"Ġpostseason":55371,"retain":55372,"_rates":55373,"ĠrequestCode":55374,".todo":55375,"´s":55376,"CHK":55377,"ĠKeeping":55378,"engeance":55379,"Ġvscode":55380,"IPPING":55381,"DefaultCloseOperation":55382,"_raise":55383,"ĠOculus":55384,"ograms":55385,"raj":55386,"pci":55387,"Ġcorrosion":55388,".handleSubmit":55389,"Accessible":55390,"ĠPiano":55391,"little":55392,"ACL":55393,"Äĩe":55394,".unwrap":55395,"ĠConvers":55396,"ĠLeben":55397,"ioneer":55398,"ĠMerchant":55399,"ĠJorge":55400,"Ġembracing":55401,"Ġventa":55402,"ást":55403,"Ġviene":55404,"Ċ":55556,"-growing":55557,"Ġdeepcopy":55558,"Ack":55559,"eggies":55560,"Ġ__(\"":55561,"Ġnoir":55562,"terrorism":55563,"Ġanthem":55564,"agency":55565,"_PACKAGE":55566,"ĠClosure":55567,".registry":55568,"Ġmammals":55569,"L":55600,"Ġbluetooth":55601,".Deep":55602,"-standing":55603,"ácil":55604,"Ġrooft":55605,"ĠPaths":55606,"_iterations":55607,"InvalidArgumentException":55608,".spi":55609,"ĠUIAlertAction":55610,"uye":55611,"signin":55612,".priority":55613,"ĠEssays":55614,"='{$":55615,"Ġè¿ĶåĽŀ":55616,"_signed":55617,".persist":55618,"Ġredesign":55619,"ToLower":55620,"ĠNewman":55621,"=start":55622,"ĠIsraelis":55623,"asiswa":55624,"Speech":55625,"Ġnumeros":55626,"handlers":55627,"ĠWong":55628,"ĠмеÑĤод":55629,"Weights":55630,"ĠGujar":55631,"teil":55632,"ĠNonetheless":55633,"_EFFECT":55634,"Ġvect":55635,"ĠOsc":55636,"Ġcoats":55637,"ĠWheat":55638,"Ġgeek":55639,"ĠPROPERTY":55640,"worm":55641,"_constants":55642,"ĠBoulder":55643,"ĠParm":55644,"cole":55645,"ĠdefaultCenter":55646,"ĠRouge":55647,":A":55648,"xcf":55649,"ĠVenice":55650,"median":55651,"Ġredemption":55652,"Fresh":55653,"Ġcosm":55654,"Ġfigur":55655,"Ġrefurb":55656,"COPE":55657,".cd":55658,"Ġchords":55659,"ĠSgt":55660,"Åį":55661,"VPN":55662,"ĠSEND":55663,"ainen":55664,"_accounts":55665,"Ġtenth":55666,"Ġdissolved":55667,"":55907,"Ġlegitimacy":55908,"Ġoo":55909,"Slinky":55910,"Ġnationals":55911,".words":55912,";p":55913,"trap":55914,"omanip":55915,"Ġcues":55916,"Ġgraduating":55917,"Ġsemaphore":55918,"\"]);ĊĊ":55919,"acey":55920,"REET":55921,"Grab":55922,"ĠFelix":55923,"(Id":55924,"_neighbors":55925,"Ġmeaningless":55926,"(del":55927,"Ġjeder":55928,"ĠContentValues":55929,".absolute":55930,"/cl":55931,"Ġxb":55932,"datum":55933,"Ġtortured":55934,"Ġrubbing":55935,"Scores":55936,"ĠðŁĺī":55937,"Ġavons":55938,"Ġamsterdam":55939,"EOS":55940,"Hal":55941,"Ġtrustworthy":55942,"#=":55943,".EXTRA":55944,"Ġmano":55945,"isicing":55946,"-support":55947,"ĉcursor":55948,"ĠSpo":55949,"aimassage":55950,"Mission":55951,"[]{\"":55952,"Ġprinters":55953,"GREEN":55954,"Ġteg":55955,"Ġabdominal":55956,"!ĊĊĊĊĊĊ":55957,".Short":55958,"азв":55959,"ĠGifts":55960,"}\")":55961,"(binding":55962,"xce":55963,"âĢij":55964,"infos":55965,"FormData":55966,"Ġdart":55967,"Ġelems":55968,"(inv":55969,"YL":55970,"tin":55971,"GENER":55972,"ữ":55973,"ĠTaken":55974,"uckle":55975,":e":55976,"Ġspectral":55977,".baidu":55978,"/');Ċ":55979,"Ġgreedy":55980,"esion":55981,",,,,,,,,":55982,"Ġ/>,Ċ":55983,"InternalServerError":55984,"NSNotificationCenter":55985,"ĠAi":55986,"Ġspit":55987,"Ġaugmented":55988,"ĠstandardUserDefaults":55989,"FINITY":55990,"Race":55991,":C":55992,"ĠRECORD":55993,"ĠHighlight":55994,"Ġ'`":55995,"Ġdeficits":55996,"Ġnei":55997,"Ġresearched":55998,"Ta":55999,"Ġcopp":56000,".GetHashCode":56001,"):čĊčĊ":56002,"OnClick":56003,"ĠWellington":56004,"Ġrevival":56005,"æ¯Ķ":56006,"éĹ®":56007,"ĠNSS":56008,"Ġforn":56009,"Ġinté":56010,"ĠKuwait":56011,"_flip":56012,"_bo":56013,"_\\":56014,"Ġoccurrences":56015,"ĠScientists":56016,"SRC":56017,"ogens":56018,"igrant":56019,"REMOTE":56020,"ĠSID":56021,".opts":56022,"uve":56023,"()])Ċ":56024,"Ġlibertarian":56025,"ĠGlide":56026,"lesen":56027,"Ġforme":56028,"owania":56029,"Ġannoyed":56030,"Defs":56031,"ĠExecutor":56032,"Ġcasts":56033,".setChecked":56034,"ĠSharing":56035,".SerializeObject":56036,"Ġselectors":56037,"_OTHER":56038,"미":56039,"(super":56040,"(OS":56041,"_VERIFY":56042,"idunt":56043,"';Ċ":56045,"Ġvidéo":56046,"ĠNegro":56047,"ĠLords":56048,"ĠTours":56049,"Ġsoftly":56050,".receive":56051,"ĠERC":56052,"ĠdataSet":56053,"Badge":56054,"ĉEvent":56055,"Ġperl":56056,"Ġ{}\\":56057,"(sentence":56058,"OrUpdate":56059,"Ġdiminish":56060,"PIN":56061,"(draw":56062,".ToDateTime":56063,".EqualTo":56064,"(pin":56065,"-pencil":56066,"luent":56067,"ĠCaller":56068,"Ġplayful":56069,"-'+":56070,"xca":56071,"swick":56072,"){}Ċ":56073,"}:${":56074,"ĠMeth":56075,".getCell":56076,".break":56077,"Ġymax":56078,"='Ċ":56291,"ĠHiro":56292,"(TRUE":56293,"asurer":56294,"Ġcuer":56295,"Uber":56296,".Operation":56297,"Ġolan":56298,"Ġthrilling":56299,"'.":56321,"ĉvalid":56322,"\"\",":56323,"Instrument":56324,">J":56325,"Ġnostr":56326,"ĠRift":56327,"_Port":56328,"Ġveces":56329,"[['":56330,"Ġrallies":56331,"-series":56332,"Ġvv":56333,".uc":56334,"Ġrtn":56335,"StateChanged":56336,"(ins":56337,"ĠCla":56338,"------------Ċ":56339,"cus":56340,"ĠReload":56341,"//------------------------------------------------------------------------------------------------":56342,".seconds":56343,"_destination":56344,"Ġscrewed":56345,">c":56346,"Thickness":56347,"Designer":56348,"Ġgrids":56349,"nÄħ":56350,"(cookie":56351,"Trip":56352,"-Mobile":56353,"Ġvoll":56354,"Ġgenital":56355,"Ġconfisc":56356,"ĠConfederate":56357,"ĠwebView":56358,"Ġmise":56359,"Ġcler":56360,"(selection":56361,"$date":56362,"Ġsharpen":56363,"ragen":56364,"AndUpdate":56365,"Ġremix":56366,"Ġhtons":56367,"RW":56368,"MPI":56369,"Ġretrieval":56370,"Ġrichest":56371,".Decode":56372,":initComponents":56373,"ĠTValue":56374,"Saint":56375,"@include":56376,"ĠPERSON":56377,".sep":56378,"ĠLDAP":56379,"gba":56380,"ĠgroÃŁe":56381,"Ġreliably":56382,"ĠDFS":56383,".getItemId":56384,"Ġprésent":56385,".getToken":56386,"Ġchinese":56387,"ĠMeal":56388,"YOU":56389,"\">>ĊĊ":56948,"bower":56949,"Ġswapped":56950,"/install":56951,"Ġsinks":56952,"etrize":56953,"Ġdeclines":56954,"ĉmysql":56955,"ĠCString":56956,"ĠMotionEvent":56957,".Language":56958,"Road":56959,"ÑĤеÑĢ":56960,"ascimento":56961,"'))->":56962,".about":56963,"(editor":56964,"ĠRatings":56965,"income":56966,"Å¡e":56967,".dequeueReusableCell":56968,"ĠAustrian":56969,"Ġsulla":56970,"ĠTribunal":56971,"ĠDidn":56972,"оваÑĢ":56973,"Ġinspections":56974,"Boss":56975,"Ġcocktails":56976,"Ġapologized":56977,"_subplot":56978,"opal":56979,"+=(":56980,"Ġresonance":56981,"ibu":56982,"Ġ리":56983,"roma":56984,"reserve":56985,"pls":56986,"ĠTah":56987,"axies":56988,"OPLE":56989,"ĠDarren":56990,"ĠZombie":56991,"_Map":56992,"Ġ])ĊĊ":56993,"ĠQi":56994,"ĠSail":56995,"Ġrestrictive":56996,"Ġerosion":56997,"-par":56998,"WHITE":56999,"Ġoldu":57000,"Ġaperture":57001,"Ġbitcoins":57002,"texto":57003,"ĠComcast":57004,"Ġtimeless":57005,"enkins":57006,"Ġfeeder":57007,"/tmp":57008,"resden":57009,"+'_":57010,".Destroy":57011,"Ġçok":57012,"ĠDOCUMENT":57013,".lng":57014,".tagName":57015,"Ġkullan":57016,"egrate":57017,"Ġ(*.":57018,"ç¼ĸè¾ij":57019,"Ġhandshake":57020,"soc":57021,"_geometry":57022,"ĠDamascus":57023,"Minor":57024,"ĠKafka":57025,"ìŬ":57026,"Florida":57027,"_compute":57028,".expr":57029,"Ġparalle":57030,"ĠDiaz":57031,"cir":57032,"[target":57033,"Ġjoking":57034,"Ġglor":57035,"(setq":57036,"_handlers":57037,"Hang":57038,"Ġferr":57039,"riminal":57040,"ĉĠĠĠĠĉĉ":57041,"enties":57042,"defines":57043,"-tax":57044,"jsonp":57045,"ĠUPS":57046,"metro":57047,"__;Ċ":57048,"ĠUganda":57049,"])):Ċ":57050,"_td":57051,"xae":57052,"lw":57053,".OS":57054,"ĠLogged":57055,"acid":57056,"ĠMayo":57057,"aspect":57058,"Ġvaginal":57059,"Ġinitializing":57060,"Ġsteroids":57061,"fiction":57062,"GRE":57063,"gend":57064,"Ġliabilities":57065,"ĠLets":57066,"Mech":57067,"(nc":57068,"(change":57069,"Ġconnectors":57070,":k":57071,"Ġtast":57072,"!\");ĊĊ":57073,"things":57074,"rophy":57075,"luetooth":57076,"ĠSignUp":57077,".ctrl":57078,"Ġtherein":57079,"orda":57080,".escape":57081,"igator":57082,"Ġpetrol":57083,"Ġspecimen":57084,"Ġdebuted":57085,"-Pro":57086,"Ġcrises":57087,".addView":57088,"ëıĻ":57089,"-door":57090,"Ġmonet":57091,"Ġmillis":57092,"Ġvier":57093,"InternalEnumerator":57094,"Ġadmins":57095,"ĠLair":57096,"zin":57097,"getQuery":57098,"umbles":57099,"LIMIT":57100,"ĠVig":57101,"_song":57102,"":57415,"Ġpasado":57416,"thank":57417,"_Delete":57418,"ĠBrighton":57419,",unsigned":57420,"ä½ľèĢħ":57421,"Ġaspirations":57422,"-how":57423,"Rose":57424,"=((":57425,"_needed":57426,"_plural":57427,">ĊĊ":57545,"Ġsurfaced":57546,"ĠìłĢìŀ¥":57547,"platz":57548,"ĉemail":57549,"ceptors":57550,"\">(":57551,"Ġepile":57552,"读":57553,"ĠDebt":57554,"åijĬ":57555,"NOP":57556,"\"https":57557,":j":57558,"FormItem":57559,"_LICENSE":57560,".getDouble":57561,"ĠAgenda":57562,"ĉfinally":57563,"(filters":57564,"(av":57565,"ç¾İ":57566,"APER":57567,"Ġlava":57568,"еÑĢж":57569,"))))ĊĊ":57570,"Ġfaulty":57571,"_nm":57572,"Ġtrava":57573,"(Bitmap":57574,"Ġspeeding":57575,">').":57576,"Ġscreened":57577,"_roll":57578,"ĠMacBook":57579,"ĠAUD":57580,"Ġdiagnose":57581,".Generate":57582,"Ġ^^":57583,"Ġstrs":57584,"[Test":57585,"Ġransom":57586,"ĠDHCP":57587,"elden":57588,"Ġinterpretations":57589,"()].":57590,"flatMap":57591,"ĠlineHeight":57592,"_mount":57593,"ĠWizards":57594,"Ġsluts":57595,"ehler":57596,"odal":57597,"Ġmilitia":57598,"å²":57599,"earned":57600,"Ġmisery":57601,"intval":57602,"fund":57603,"Ġhides":57604,"Ġdiarr":57605,"ĠWesley":57606,"Ġxmm":57607,"Ġquem":57608,"ĠArabs":57609,"ifth":57610,"ategorized":57611,"Disposable":57612,"Pure":57613,"_NOTIFY":57614,"snippet":57615,"ĠGarrett":57616,".running":57617,".weights":57618,"Ġ(--":57619,"Ġinvariant":57620,"äºĭ件":57621,"ĠAllowed":57622,"dirs":57623,"Ġpassions":57624,"Ġlad":57625,"ĠFlush":57626,"menus":57627,":block":57628,"Ġcompra":57629,".chomp":57630,"allocator":57631,"Ġcurated":57632,"ĠKnowing":57633,"ĠPatterson":57634,"Ġtelah":57635,"'ex":57636,"Ġdoomed":57637,"Ġphilanth":57638,"otty":57639,".styles":57640,"Owned":57641,"Ġallergies":57642,"=params":57643,"ocese":57644,"itelist":57645,"ĠSending":57646,"bef":57647,"orrar":57648,"ĠNão":57649,"ĠFargo":57650,"ĠLub":57651,"ĠCombined":57652,"_given":57653,"ĉĉĉĉĉĠĠĠĠ":57654,"Ġreconciliation":57655,"Patterns":57656,"azard":57657,"Ġbiomass":57658,"ĠHouses":57659,"respuesta":57660,"cco":57661,"/topics":57662,"ĠYuk":57663,"Ġweakened":57664,"_calendar":57665,"Ġmulheres":57666,"ĠMarl":57667,"Ġsine":57668,"ĠTil":57669,"ĠSouls":57670,"ĠDeutsche":57671,"ĠFOLLOW":57672,"Ġpipelines":57673,"ĠBeverly":57674,"_DIPSETTING":57675,"\"#":57676,"ĠProto":57677,".big":57678,"ĠSavings":57679,"ĠTanz":57680,"jun":57681,"ĠGamma":57682,"ĠSadd":57683,"Ġadvisors":57684,"Ġroast":57685,"Ġunters":57686,"udies":57687,"_lon":57688,"-pointer":57689,"ĠElementRef":57690,"\\Builder":57691,"exampleInput":57692,".webdriver":57693,"dataType":57694,"ĠQuite":57695,"ĠCeltics":57696,"uil":57697,"-defense":57698,"bish":57699,"ĠUIWindow":57700,"ĠSuddenly":57701,".hot":57702,".reason":57703,"Ġgör":57704,"AMD":57705,".Multi":57706,"authenticated":57707,"regions":57708,";(":57709,"аÑĢам":57710,"ĠKirby":57711,"$route":57712,"PRECATED":57713,"ĠDurham":57714,"owo":57715,"ĠPerforms":57716,"Ġdisregard":57717,"nst":57718,"ĠPols":57719,"ĠgetP":57720,"\"]:":57721,"-colored":57722,"(Keys":57723,"ĠAlleg":57724,"_modify":57725,"_loading":57726,"strained":57727,"Ġatroc":57728,"_phr":57729,"":58721,"ceph":58722,".DateTimePicker":58723,".\";ĊĊ":58724,"ĠTie":58725,",item":58726,"Ġmenn":58727,"Gas":58728,"ocha":58729,"_virtual":58730,"Ġmasterpiece":58731,"_sequences":58732,"LTE":58733,"ĠSubmission":58734,"Caller":58735,"$\\":58736,"Sport":58737,"agus":58738,"ConstraintMaker":58739,"Ġcoloc":58740,"Ġwig":58741,"ĠУ":58742,"ĉArray":58743,"Looks":58744,"ĠGTA":58745,".steps":58746,"atchewan":58747,"_ranges":58748,"extAlignment":58749,"ĠBrennan":58750,"Ġabstraction":58751,"ulerAngles":58752,".misc":58753,"Ġantibodies":58754,"Ġexponential":58755,"ĠCHANNEL":58756,"expense":58757,"'y":58758,"Ġdetectives":58759,"Ġpurported":58760,"YSTEM":58761,"Ġradioactive":58762,"ĠLatina":58763,".Encoding":58764,".TAG":58765,"xin":58766,"Degree":58767,"uracion":58768,"prices":58769,"ĠReferentialAction":58770,"Ġrarity":58771,"Ġpiles":58772,"gende":58773,"_projects":58774,"_globals":58775,".startTime":58776,"Ġ구":58777,"SECTION":58778,"_publish":58779,"Fault":58780,"DDL":58781,"_prior":58782,"Mom":58783,"Ġthicker":58784,"Ġsequelize":58785,"Ġessentials":58786,"stras":58787,"intr":58788,">(()":58789,".management":58790,"eil":58791,"éĹŃ":58792,"Aware":58793,".City":58794,"ĠArbit":58795,"_DM":58796,"_keyboard":58797,"LObject":58798,"-webpack":58799,"ĠNewport":58800,"ĠprincipalColumn":58801,"legant":58802,"Ġpallet":58803,"Ġfracture":58804,"Ġgmail":58805,".Meta":58806,"Above":58807,".KeyEvent":58808,"jit":58809,"_macro":58810,"_PUSH":58811,"ứ":58812,"/controller":58813,"åĬłè½½":58814,"Ġsuperficial":58815,"exterity":58816,"Ġmensagem":58817,"Wind":58818,"iston":58819,".openapi":58820,"иÑĢов":58821,"ĠSerializer":58822,"uctive":58823,"Ġzar":58824,"Places":58825,".Static":58826,"Ba":58827,"Ġinadvert":58828,"ĠIndonesian":58829,"_IPV":58830,"(horizontal":58831,"ĠgetTitle":58832,"idepress":58833,"ĠConsoleColor":58834,"ipers":58835,"$out":58836,"Ġfestive":58837,"Ġevenings":58838,".GetData":58839,"uitka":58840,"ĠManuals":58841,"ussed":58842,"_Max":58843,".Chat":58844,"ĠAircraft":58845,"=com":58846,"FOUND":58847,"apro":58848,"Ġtreasures":58849,"_alive":58850,"Ġgadget":58851,"eking":58852,"ButtonDown":58853,"Browsable":58854,".PERMISSION":58855,"PASSWORD":58856,"ĠHASH":58857,"fé":58858,"\\TestCase":58859,"LOSS":58860,"others":58861,",J":58862,"Ġasshole":58863,"werk":58864,"Ġmã":58865,".ie":58866,"evil":58867,"kontakte":58868,"////////////////////////////////////////////////////////////////////////////////Ċ":58869,"=sys":58870,"ĉlock":58871,"--;ĊĊ":58872,"_FUN":58873,"FillColor":58874,"óa":58875,"prend":58876,"Ġcompressor":58877,"Mother":58878,"ĠArcher":58879,".goto":58880,"Ġwürde":58881,"Ġbamboo":58882,"ï¼İ":58883,"ĠTrees":58884,"Ġbumper":58885,"Ġsausage":58886,"ĠElasticsearch":58887,"Ġhorizontally":58888,"ĠGul":58889,"Immutable":58890,"Ġloser":58891,"Ġaborted":58892,"-demo":58893,"ĠHatch":58894,"Ġunde":58895,"Ġprocesso":58896,"-call":58897,"Income":58898,"åĥ":58899,"_returns":58900,"'].\"'":58901,"(sw":58902,"CBS":58903,"amilies":58904,"ĠYourself":58905,"ĠHolt":58906,".MON":58907,"à§ĩ":58908,"ÑĪе":58909,"anon":58910,"ĠFontAwesome":58911,"producer":58912,"jr":58913,"Ġmau":58914,"ĉinter":58915,"Ġdishonest":58916,"Ġmagna":58917,"ĠCollective":58918,"Ġvraiment":58919,"Ġchoix":58920,"stay":58921,"Ġwelding":58922,"rising":58923,",min":58924,"ĠFate":58925,"glob":58926,"RGBA":58927,"Ġdette":58928,"Ven":58929,"Ġembarrassment":58930,".DELETE":58931,"gregar":58932,"-render":58933,"(bucket":58934,"\">ĊĊĊ":58935,".waitKey":58936,"Busy":58937,"Ġdifferentiation":58938,"ĠCST":58939,".Constant":58940,"ĠlineNumber":58941,"(matches":58942,"Ġwebsocket":58943,"Ġbarred":58944,"Ġpuedes":58945,"Mono":58946,"CORE":58947,"IID":58948,"ĠĠĠĠčĊčĊ":58949,"Ġpúblico":58950,"leaning":58951,"Ġcleansing":58952,"Ġcris":58953,"ĠDevils":58954,"_SETTING":58955,"untary":58956,".);Ċ":58957,"ĊĠĠĠĊ":58958,"[curr":58959,"tsy":58960,"ĠAlexis":58961,"ritel":58962,"Ġpetroleum":58963,".preprocessing":58964,"matter":58965,"ForResult":58966,"-license":58967,"Ġtravellers":58968,"ĠDispatcher":58969,"ennifer":58970,"Ġdigestive":58971,"PED":58972,"hibition":58973,"MASConstraintMaker":58974,"ĠWatt":58975,"Benef":58976,".setView":58977,"dto":58978,"TEE":58979,"ĠPelosi":58980,"_EXTRA":58981,"Ġmedals":58982,"xhr":58983,"forecast":58984,"Ġnargin":58985,"ouns":58986,"-fill":58987,"_CURSOR":58988,"Ġsupervised":58989,"Ġturf":58990,"ĠEdgar":58991,"POSITION":58992,"ĠcategoryId":58993,"âī":58994,"_ER":58995,"ủa":58996,"Shown":58997,".ll":58998,"_POLICY":58999,"(),'":59000,"ĠPrev":59001,"ĠStringField":59002,"ĉGlobal":59003,"assed":59004,"Throughout":59005,"ostringstream":59006,".awtextra":59007,"Ġslopes":59008,"ĠSequential":59009,"Ġgiorn":59010,"Ġzelf":59011,"Ġversatility":59012,"leneck":59013,".cgi":59014,"Ġdoubling":59015,"ĠBangkok":59016,"Ġbuurt":59017,"Ġusuário":59018,"studio":59019,"Ġjeunes":59020,"Ġmuted":59021,"Ġips":59022,"_fraction":59023,"&&(":59024,"Ġstunt":59025,"');?>čĊ":59049,"Ġevapor":59050,"bable":59051,"ĠPRICE":59052,"Ġæ³":59053,"lucent":59054,"Ġvamp":59055,"ĠTechnician":59056,"Ġuniqueness":59057,"Mes":59058,"urban":59059,".parametrize":59060,"ĠReplay":59061,"Sessions":59062,"embr":59063,"-Americans":59064,"_PROXY":59065,"Ġpian":59066,"Ġtrie":59067,"ĠDestructor":59068,"GameState":59069,"ĠIMF":59070,"chin":59071,"Ġporte":59072,"ĠSwal":59073,"åŁİ":59074,"Substring":59075,"iming":59076,"/Library":59077,"Ġfrightened":59078,"writes":59079,"Ġrecursos":59080,"arResult":59081,"_INITIALIZ":59082,"ĠBadge":59083,"_crc":59084,"Eight":59085,"ĠDISTINCT":59086,"Ġthro":59087,"@Xml":59088,"ĠLegendary":59089,"-twitter":59090,"_easy":59091,"Ġ+++":59092,"(DATA":59093,".Locale":59094,"Ġkä":59095,"Ġnurt":59096,"Ġcruis":59097,"_ios":59098,"Ġsensing":59099,"_Line":59100,"ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":59101,"pong":59102,"oleon":59103,"Ġwildcard":59104,"çĶ¨æĪ·åIJį":59105,"Ġbegging":59106,"Rod":59107,"ĠÃİ":59108,"_CELL":59109,"Researchers":59110,".selector":59111,"_ing":59112,"Ġaspiring":59113,"Ġimmortal":59114,"Ġymin":59115,"_robot":59116,"Ġplur":59117,"BTC":59118,"ĠDID":59119,"Ġpiercing":59120,"*u":59121,"_DEFINED":59122,"ĠThi":59123,"itaire":59124,"(media":59125,"-ons":59126,"Ġchefs":59127,"Ġ\"*.":59128,"/AP":59129,"Ġrazor":59130,"ĠsearchData":59131,"Ġ=&":59132,"ĠãĢĤ":59133,"Ġmourn":59134,"tingham":59135,"Ġoli":59136,"ĠVernon":59137,"_RS":59138,"ŀæĢ§":59139,"Ġfácil":59140,"angen":59141,"celain":59142,"Ġail":59143,"lest":59144,"ĠQCOMPARE":59145,"gain":59146,"Ġε":59147,"ĠKob":59148,"ĠFault":59149,"_configs":59150,"ç»ĵæŀľ":59151,".+":59152,"calar":59153,"(colors":59154,"Mul":59155,"_ART":59156,"Ġexperimenting":59157,"ermen":59158,"ĠAnglo":59159,".FixedSingle":59160,"Sea":59161,"Ġctxt":59162,".slider":59163,"Collapse":59164,"Grey":59165,"Ġfld":59166,"-proof":59167,".capacity":59168,"getParent":59169,"ĠCompliance":59170,"Ġburgl":59171,"-rec":59172,"Ġoverwritten":59173,"MU":59174,"Ġrouters":59175,"ĉModel":59176,"Ġfantasies":59177,"avian":59178,"_prec":59179,"ĠScandin":59180,"Ġ//<":59181,"/oct":59182,"Ġceremonies":59183,"Months":59184,"undy":59185,"Ġqued":59186,"ĠNou":59187,"ĠVibr":59188,".rgb":59189,"Ġcitrus":59190,"Ġbraces":59191,"-uppercase":59192,"getTable":59193,"Ġdopo":59194,"ĠKerr":59195,"_CHILD":59196,"-cloud":59197,"ĉMatrix":59198,"Ġgardening":59199,"Sing":59200,"almost":59201,"Requirements":59202,"uguay":59203,"(Property":59204,"subscriber":59205,"FAST":59206,"reaction":59207,"(lp":59208,")})Ċ":59209,"`).":59210,".wallet":59211,"_exchange":59212,".Maximum":59213,"ĠVerb":59214,"âĶģ":59215,"()<":59216,"ï¼ĽĊ":59217,"ROT":59218,"CARD":59219,"ubit":59220,"{@":59221,"_kel":59222,"ĠTooltip":59223,"MySQL":59224,"MainActivity":59225,"arf":59226,"Ġmalign":59227,"Ġseinen":59228,"apist":59229,"Ġ<%":59230,"MethodImpl":59231,"Mil":59232,"ĠMick":59233,".depend":59234,">&":59267,"ĉok":59268,"-low":59269,".usuario":59270,"nested":59271,"XB":59272,"OURS":59273,".BorderColor":59274,"Ġbrow":59275,"ĠÐķ":59276,"corr":59277,"ĠRedskins":59278,".getTag":59279,".getTransaction":59280,"Ġstigma":59281,"hardt":59282,"ĠPlayerPrefs":59283,"alsy":59284,"ucson":59285,"Languages":59286,"ĠOlivia":59287,"Ġtac":59288,"Ġbli":59289,"Ġcaval":59290,"Ġconsolidated":59291,"Ġperil":59292,"Ġdele":59293,"Ġformulated":59294,"Ġhighways":59295,".spawn":59296,"==$":59297,"ĠNiet":59298,"Ġveggies":59299,"ypo":59300,"-rule":59301,"ĠVie":59302,"/epl":59303,"Ġenfants":59304,"stringLiteral":59305,"Ġtoughest":59306,"buyer":59307,"Ġcovariance":59308,"Ġili":59309,"ĠSophie":59310,"ĠBAB":59311,"Ġ\"),":59312,"ĠUk":59313,"currentIndex":59314,"_userdata":59315,".codec":59316,"ĠPunjab":59317,"ĠSNP":59318,"lol":59319,"advance":59320,"Ġcomfy":59321,"JsonIgnore":59322,"Ġfashionable":59323,"ĠICON":59324,"Ġora":59325,"ĠPricing":59326,"E":59384,"tering":59385,"/screens":59386,"Ġheightened":59387,"аÑĢÑĤ":59388,"Authorities":59389,"_bbox":59390,"ünst":59391,".fontSize":59392,"ĠBOOLEAN":59393,"divide":59394,"ĠSloven":59395,"ucer":59396,"ÙĴ":59397,"stub":59398,"Ġnavigating":59399,":animated":59400,"_NOW":59401,"_vect":59402,"}{Ċ":59403,"@(":59404,"Ġtelecom":59405,"Ġcontracting":59406,"ĠAssange":59407,"Ġextracting":59408,"Ġgrö":59409,"cobra":59410,".DIS":59411,"Ġcrab":59412,"Ġtwitch":59413,"Ġverts":59414,"Ġrejects":59415,"ĉformat":59416,"Ġregeneration":59417,".Sys":59418,"solve":59419,"ĉdialog":59420,"shi":59421,"meter":59422,"(best":59423,"validators":59424,"Ġonwards":59425,"Ġguru":59426,"Ġmoderator":59427,"owied":59428,"experiment":59429,"rub":59430,"Ġmqtt":59431,"ĠCaucas":59432,"Ġnationalism":59433,"Ġmange":59434,"ĉImGui":59435,"/Edit":59436,"Ġinh":59437,"Ġintellig":59438,"erokee":59439,"ĉexport":59440,"Ġdiscriminate":59441,"subtract":59442,"ĠMoodle":59443,"enser":59444,"ĠGuides":59445,"RAP":59446,"-hot":59447,"_grp":59448,".picture":59449,"XA":59450,"ĠinitView":59451,"_Comm":59452,"Ġoverdose":59453,"Ġ+ĊĊ":59454,"ĠSilent":59455,"shows":59456,"Ġinterpolate":59457,"Formation":59458,"Ġbisc":59459,"markets":59460,"(SC":59461,"Ze":59462,"ĠNetworking":59463,"Ġadrenal":59464,"ĠGuns":59465,"eteor":59466,"Declared":59467,"orgetown":59468,"Ġkarena":59469,"/password":59470,"_addresses":59471,"ITERAL":59472,"Buzz":59473,"ĠConway":59474,"(case":59475,"PWD":59476,"heiro":59477,"(act":59478,"**čĊ":59479,"());ĊĊĊ":59480,"Ġanv":59481,"Ġ..ĊĊ":59482,"(MenuItem":59483,"(mail":59484,"_sections":59485,"ĉnet":59486,"Ġplut":59487,"Ġwrench":59488,"/object":59489,"ĠIst":59490,"ĠVIS":59491,"/pub":59492,"alten":59493,"Ġguitars":59494,"Ġantibiotic":59495,"ï¼ĸ":59496,"¹":59497,"Ġ\"+\"":59498,"formula":59499,"Ġbabes":59500,"ĠPrompt":59501,"Ġenim":59502,"/player":59503,"ĉref":59504,"ĠbyÄĩ":59505,"Ġconsumes":59506,"ĠHast":59507,"ĠTao":59508,"Ġ'))Ċ":59509,"Ġclam":59510,"Ġthighs":59511,"Ġmotif":59512,"ApiOperation":59513,"ĠWL":59514,"getC":59515,"ĉflags":59516,"ointments":59517,"Ġeconomical":59518,"needle":59519,"xls":59520,"practice":59521,"utzer":59522,"timeofday":59523,"-output":59524,"ĠfindById":59525,"ĠBuddy":59526,"ÐŀÑĤ":59527,"Seven":59528,"ĠBark":59529,"Ġenvoy":59530,"_algorithm":59531,"åĪ©":59532,"Ġballistic":59533,"移":59534,"rades":59535,"ĉdoc":59536,"roducing":59537,"ĠEating":59538,"Unmount":59539,"/dataTables":59540,"_bonus":59541,"Ġlitt":59542,"pps":59543,")localObject":59544,"perf":59545,"ĠHelvetica":59546,"shutdown":59547,"/ml":59548,".tokens":59549,"ĠHardcore":59550,",row":59551,"/bg":59552,"Scaler":59553,"âĢĶas":59554,"_logits":59555,"âĢĻint":59556,"ĉApp":59557,"Implicit":59558,".Fprintf":59559,"ETO":59560,"Ġterra":59561,"Ġpossessing":59562,".rstrip":59563,",),":59564,"=yes":59565,"ĠStripe":59566,"?=":59567,"neutral":59568,".good":59569,"Ġkennen":59570,"ĠSung":59571,"fault":59572,"ystatechange":59573,"Canadian":59574,"','\".$":59575,"ĠMits":59576,"ænd":59577,"ĠSTRUCT":59578,"ĠURLWithString":59579,"ĠCompass":59580,"Ġ--ĊĊ":59581,"ĠNSLayoutConstraint":59582,"|min":59583,"-adjust":59584,"Ġrebuilt":59585,"LIGHT":59586,"/se":59587,"-mount":59588,"vpn":59589,"validated":59590,"(QObject":59591,"Ġignition":59592,"ĠChargers":59593,"RYPTO":59594,"]initWithFrame":59595,"ĠFluid":59596,"Ġcadre":59597,"Ġnominations":59598,"Neill":59599,"ĠHou":59600,"Ġcurrents":59601,"_gene":59602,"(inp":59603,"Paris":59604,"zÄĻ":59605,"aggregate":59606,"Ġassoc":59607,"weeted":59608,"errat":59609,"âĢĵĊĊ":59610,"Ġ'/',Ċ":59611,"fixture":59612,"ĠHighest":59613,"ambient":59614,"Ġchmod":59615,"Ġconte":59616,"Ġsensual":59617,"Ġgarment":59618,"zers":59619,"ĠPowered":59620,"domains":59621,"Reward":59622,"iomanip":59623,"Ġcockpit":59624,"outfile":59625,"Ġbuiltin":59626,"Ġinsisting":59627,".vars":59628,"zipcode":59629,"Ġ����":59630,"fails":59631,"Ġconsolidation":59632,"_oid":59633,"Planet":59634,"Ġ=\",":59635,"ĉel":59636,"UILT":59637,"ätz":59638,"afari":59639,"ĠMcCl":59640,"Timeline":59641,"Esta":59642,"Ġfram":59643,"YE":59644,"Ġcerebral":59645,"OfMonth":59646,"ĠPregn":59647,"ĠклаÑģÑģ":59648,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":59649,"ĠFres":59650,"Approved":59651,".Special":59652,"ĠProtestant":59653,"Ġallergy":59654,"_pcm":59655,"ĉCopyright":59656,"ĠsuperClass":59657,"\"strconv":59658,"ĠMohamed":59659,"Ġ'//":59660,"ForeColor":59661,"Arthur":59662,"ĠJungle":59663,"Ġveins":59664,"Sad":59665,"Ġbackups":59666,"ĠOpinion":59667,"ût":59668,"Ġintermitt":59669,"odyn":59670,"ĠChristina":59671,"Ġandre":59672,"Ġevacuation":59673,"palette":59674,"horse":59675,"ĠResident":59676,"ĠHassan":59677,".Nil":59678,"Ġaisle":59679,"ĠGrowing":59680,"Ġbloginfo":59681,"/sql":59682,"_ioctl":59683,"Scaling":59684,"ĠMonad":59685,"_cpp":59686,"ĠHutch":59687,"ĠAppleWebKit":59688,"Expense":59689,"_JOB":59690,"Ġpointless":59691,"FromBody":59692,"antal":59693,"Ġdepicting":59694,"ĠCELL":59695,"Ġrefin":59696,"ĠCNC":59697,"ì¹ĺ":59698,"_dimensions":59699,"ĠSAN":59700,"Ġaft":59701,"Ġfootsteps":59702,"ccoli":59703,"_PHONE":59704,"/math":59705,"-kind":59706,"ĠMeans":59707,"ichael":59708,".guna":59709,"Ġinauguration":59710,"-driving":59711,"(delete":59712,"ĠtotalCount":59713,"_MC":59714,".Extension":59715,"Commercial":59716,"ĠzIndex":59717,"$":59849,"Ġebay":59850,"Ġcaptive":59851,"pliant":59852,"ĠCalculates":59853,"olta":59854,"esting":59855,"_revision":59856,"Ġmús":59857,"+m":59858,"\",\"\",\"":59859,"WHAT":59860,"Ġcompassionate":59861,"harga":59862,"[random":59863,"Ġmodulo":59864,"(sn":59865,"Ġoccupations":59866,"////Ċ":59867,"ĉboard":59868,"ĠBalk":59869,"wiÄħ":59870,"ĠWifi":59871,".Profile":59872,":maj":59873,"ĉmat":59874,"LOCKS":59875,"(jButton":59876,"Ġ('$":59877,"Mur":59878,"æĮī":59879,"bble":59880,"Ġfrog":59881,"-hide":59882,"Ġbroadcaster":59883,"à¸ŀ":59884,"haled":59885,"Ġamusing":59886,"_predictions":59887,"_intr":59888,"Ġeagle":59889,"аÑĤелÑĮ":59890,"ĠgetList":59891,"psilon":59892,"Ġcharacterization":59893,"ARDS":59894,"Ġrelocation":59895,"Ġrulers":59896,"PAY":59897,"ĠDefinitely":59898,"_Action":59899,"Ġclosures":59900,"Ġfactual":59901,"odynamic":59902,"Ġprecautions":59903,"niej":59904,"ĠParties":59905,"ĠSubaru":59906,"Ġcousins":59907,"arbeit":59908,".money":59909,"gunta":59910,"(and":59911,"getitem":59912,".StylePriority":59913,"Ġslid":59914,"singleton":59915,"Ġgarn":59916,"ĠPAS":59917,"Ġdazz":59918,"aż":59919,"Ġbogus":59920,"ĠMog":59921,"Ġrivalry":59922,"isol":59923,"Ġlandmarks":59924,"ñas":59925,"Bern":59926,"ĠSachs":59927,"Ġ\")ĊĊ":59928,"Ġhostility":59929,"_mex":59930,"mere":59931,"Mot":59932,"pictureBox":59933,"Defense":59934,"Ġaffidavit":59935,"otherwise":59936,".directory":59937,"_UnityEngine":59938,"-blog":59939,".skin":59940,"phem":59941,"Apellido":59942,"erchant":59943,"[class":59944,"Ġwart":59945,".\"[":59946,"aleur":59947,"/back":59948,"ĠĠĠĠĉĠĠĠ":59949,"Ġprecipitation":59950,"Ġobstruction":59951,"ĠpObj":59952,"Ġrupt":59953,"UCKET":59954,"aye":59955,"æİĴ":59956,"gx":59957,"Ġecl":59958,"Ġsecrecy":59959,"/Header":59960,"ĠLesb":59961,"Ġlei":59962,"ĠBulletin":59963,"Ġgiveaway":59964,".Home":59965,"_ROOM":59966,"\"W":59967,"Ġcowork":59968,"_ra":59969,"ĠCycling":59970,"ĠPaw":59971,"Ġpupil":59972,"/arch":59973,"ĠFileUtils":59974,"é¦ĸ":59975,"rsp":59976,"Ġfreedoms":59977,"ĠLear":59978,"}`).":59979,"Ġbowls":59980,"/block":59981,"_logging":59982,"Ġmethane":59983,"Ġhorns":59984,"Ġwonderfully":59985,"Ġalterations":59986,"Ġexile":59987,"lsen":59988,"_pause":59989,"_LANGUAGE":59990,"ĠUSDA":59991,"_mysql":59992,"_AMOUNT":59993,"ĠLIFE":59994,"Ġyoungsters":59995,"Ġriots":59996,"[E":59997,"Ġunforgettable":59998,",},Ċ":59999,"Disposed":60000,"ĠAssassin":60001,"UNG":60002,"ĠNewsp":60003,"UserService":60004,":aload":60005,"+',":60006,"Ġsettlers":60007,"Ġscreams":60008,"Ġinconvenience":60009,".Rotate":60010,"Ġjars":60011,"ĠPuzzle":60012,"Ġmest":60013,"arsi":60014,"ĠSharma":60015,"|(":60016,".ds":60017,"ĠSacred":60018,"_evt":60019,"Ġexpresses":60020,"Ġhoch":60021,"ĠDuch":60022,".calls":60023,"thr":60024,"ĠSheffield":60025,".AlertDialog":60026,"Ġradically":60027,"Ġtrous":60028,"Ġprevailing":60029,"ĠWWII":60030,"âĢĻn":60031,"ensely":60032,"ĠYesterday":60033,"ĠSirius":60034,"Ġkillers":60035,"ĠFFT":60036,"Ġoval":60037,"'):čĊ":60038,"Ġìłķë³´":60039,"ourage":60040,"ĠCheckbox":60041,"Workbook":60042,".defer":60043,"_floor":60044,"Ġcouncill":60045,"Ġnorske":60046,"moil":60047,"orea":60048,"Ġmarketed":60049,"_SUR":60050,"xAA":60051,"Ġstained":60052,"eut":60053,"ĠMeng":60054,"Ġieee":60055,".extern":60056,"egie":60057,"Ġrapp":60058,"ĠPyongyang":60059,"'class":60060,"Mob":60061,"ĠinitialValue":60062,"_wave":60063,"Ġjab":60064,"Ġmasculine":60065,"Ġamplifier":60066,"Ġtty":60067,"PathComponent":60068,"_xt":60069,"ĠGFP":60070,"/sec":60071,"ĉdispatch":60072,"markdown":60073,"ĠSchn":60074,"bole":60075,"··":60076,"mousemove":60077,"ĠerrMsg":60078,"Ġasign":60079,"_mono":60080,"ToSelector":60081,"ĠZu":60082,"(Rect":60083,"ĠErrorCode":60084,"latin":60085,"angible":60086,"vtk":60087,"CGSize":60088,"Pokemon":60089,"Ġclassmates":60090,"Ġattracts":60091,"ĠTatto":60092,"ultan":60093,"ológ":60094,"Ġhalted":60095,"न":60096,"ĠKart":60097,"Ġue":60098,"_InitStructure":60099,"TestClass":60100,"ĠAirbnb":60101,"_\",":60102,"Ġcharcoal":60103,"Ġipc":60104,"ĠStretch":60105,".glide":60106,"latesAutoresizingMaskIntoConstraints":60107,"Ġpotion":60108,"ITTLE":60109,"Ġcountert":60110,"_hd":60111,"prepared":60112,"Ads":60113,"ĠVampire":60114,"robots":60115,".CreateIndex":60116,"StatusLabel":60117,"Ġtucked":60118,"afür":60119,"Ut":60120,"Ġsweater":60121,"_FN":60122,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĉ":60123,"ataka":60124,"Ġeyebrows":60125,"acoes":60126,"uden":60127,".LinearLayoutManager":60128,"Ġsway":60129,"Ġmultin":60130,"())))Ċ":60131,"ĠNSUInteger":60132,"ĠMyBase":60133,"Partner":60134,"utschen":60135,"ĠCater":60136,".setBackgroundColor":60137,"Ġaccomplishment":60138,"_problem":60139,".dtd":60140,"ĠpageNumber":60141,"Ġjackets":60142,"Ġcropped":60143,"uels":60144,"ĠHep":60145,"Ġcapped":60146,"*Math":60147,"_callbacks":60148,"Ġpubb":60149,"ĠBrunswick":60150,".respond":60151,"[\"_":60152,"Ġbedding":60153,"hythm":60154,"OX":60155,"(speed":60156,"Ġpesticides":60157,"Ġ-------":60158,".Blue":60159,"Ġnoodles":60160,"ĠGoes":60161,"Ġsaver":60162,"oxy":60163,"_completion":60164,"ĠSwinger":60165,"ĠgetDate":60166,"Ġminded":60167,"integration":60168,"ĠLotus":60169,"(stop":60170,"(',');Ċ":60171,"Ġfloods":60172,"ĠWorkflow":60173,"Ġerupted":60174,"Macro":60175,"ĠSauce":60176,"ĠeventName":60177,"\\Input":60178,"Breaking":60179,"ĉwhen":60180,"_pw":60181,"INDER":60182,"ĠWellness":60183,"Ġvoxel":60184,"ĠMell":60185,"ĠMEDIA":60186,"SENS":60187,"ĠFunds":60188,"ĠMild":60189,"Ċ":60198,"Ġtempting":60199,"Ġtestament":60200,"Ġbible":60201,"Ġconsulted":60202,"ĠIndexError":60203,"è¨ĺ":60204,"Ġkeypad":60205,"izzo":60206,"(ok":60207,"Ġwhatsapp":60208,"ĠRemoteException":60209,"Ġteamed":60210,"âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ":60211,"»,":60212,"ĠgetTime":60213,"diag":60214,"issy":60215,"Ġhed":60216,"Ġknots":60217,"jom":60218,"Ġfunnel":60219,"-mails":60220,"Ġexporting":60221,"ĠVL":60222,"ĠKarn":60223,"ĠBuddhism":60224,"ĠAllan":60225,"_RADIUS":60226,"Ġwording":60227,"ĠForget":60228,"ĠCorona":60229,"iphy":60230,"Ġlimburg":60231,"uggy":60232,"ĠUserRepository":60233,"imin":60234,"(ele":60235,"Ġlabelled":60236,"社":60237,"ĠHerman":60238,".qq":60239,"Ġ\"));Ċ":60240,"ieber":60241,".Translate":60242,"ryn":60243,"Ġdesenv":60244,"umd":60245,"Simply":60246,"ĉmode":60247,"Rpc":60248,"ĠValencia":60249,"Ġstaffers":60250,"Ġselv":60251,"ĠSpike":60252,"Ġdelic":60253,"Ġeru":60254,"_DT":60255,"Judge":60256,"á»ķ":60257,"ĠBasin":60258,".mutable":60259,"\"url":60260,"Ġtariff":60261,"ĠSleeve":60262,"Ġflare":60263,".dropout":60264,"Ġbrides":60265,")),čĊ":60266,"_constraints":60267,"destruct":60268,"Outline":60269,"Ġdisappears":60270,"_locked":60271,"ĠNSLocalizedString":60272,"cke":60273,"ĉnull":60274,"adresse":60275,"Ġtopping":60276,"ĠJoker":60277,"bishop":60278,"ноÑģÑĤÑĮ":60279,"andering":60280,"_amp":60281,"=time":60282,"_Space":60283,"_PULL":60284,"'=":60285,"Ġantiqu":60286,"Ġcach":60287,"___ĊĊ":60288,"ONES":60289,"оÑı":60290,"Ġunread":60291,".policy":60292,"oooooooo":60293,"룬":60294,"Ġusted":60295,"ĠRece":60296,"Ġallem":60297,"ãĥ¼ãĤ¹":60298,"ĠThoughts":60299,"veillance":60300,"istrate":60301,"_lane":60302,"Ġfamed":60303,".GetName":60304,"Ġsmoother":60305,"ĠQualified":60306,"azers":60307,"_geo":60308,"Fax":60309,"ĠMinds":60310,"ĠRaises":60311,"Ġtranscripts":60312,"Conversation":60313,"Ġremarked":60314,"ëĤĺ":60315,"dling":60316,"Ġdeploying":60317,"ĠsharedApplication":60318,"Ġkp":60319,"FontAwesomeIcon":60320,"_dummy":60321,"reiben":60322,"ĠJaneiro":60323,"Directions":60324,".getBean":60325,"sass":60326,"Ġcommanders":60327,"vation":60328,"errorCode":60329,"ĠAlloy":60330,".localized":60331,"Ðij":60332,"Ġdishwasher":60333,"ĠSoup":60334,"Nu":60335,"_Default":60336,"Ġuneven":60337,"Ġ/>\";Ċ":60338,"-Based":60339,"Ġseamlessly":60340,"-null":60341,"ĠXC":60342,"Ġstew":60343,"(delay":60344,"ATORS":60345,"ĠWheeler":60346,"\"H":60500,"east":60501,".air":60502,"âĢľBut":60503,"ObjectContext":60504,"successfully":60505,"_land":60506,"Ġfolds":60507,"_COORD":60508,"Ġsubpo":60509,".getAddress":60510,"instr":60511,"Materials":60512,"ÑĥÑģÑĤ":60513,"deposit":60514,"-last":60515,"_GRAY":60516,"=find":60517,"Ġmutant":60518,"Ġlesbienne":60519,"letcher":60520,"ROUGH":60521,"ureka":60522,".capture":60523,"Ġenn":60524,"Ġ([[":60525,"ĠFlu":60526,"ĠtaskId":60527,"ĠHussein":60528,".folder":60529,"Ġausterity":60530,"ISTRATION":60531,"_Impl":60532,"注æĦı":60533,"Ġdecree":60534,"-chat":60535,"Ġimplication":60536,"Ġguesses":60537,"ulkan":60538,"Analytics":60539,".plus":60540,"COMMAND":60541,"ели":60542,"»ĊĊ":60543,"_SITE":60544,"ĠequalTo":60545,"SupportFragmentManager":60546,"ĠRecording":60547,"å®ĮæĪIJ":60548,"Ġbaggage":60549,"Ġpitchers":60550,"ĠEh":60551,"oque":60552,"ĉcnt":60553,"Ġ=>$":60554,"/foo":60555,"IRA":60556,"ĠSatellite":60557,"borah":60558,"Ġ}}\"Ċ":60559,"ĠEnds":60560,"ĠSpray":60561,",param":60562,".Chrome":60563,"*q":60564,"thought":60565,"ibrated":60566,"Ġthieves":60567,"Ġbeneficiaries":60568,"Entered":60569,"ottesville":60570,"Ġveterin":60571,"ByID":60572,"quipe":60573,"umption":60574,"-unit":60575,"ExecutionContext":60576,"@s":60577,"ĠGiov":60578,".ToolTip":60579,"_friend":60580,"(attributes":60581,"Ġdumping":60582,"ĠJC":60583,"_DOCUMENT":60584,"ĠArmour":60585,"(insert":60586,".HorizontalAlignment":60587,"ĠQed":60588,"ãģĦãģ¾ãģĻ":60589,"/git":60590,"ĠYYYY":60591,"ĠCardiff":60592,"Ġapa":60593,"organic":60594,"ĠWhereas":60595,"ĠæĿ":60596,"ĠMia":60597,"Ġdemolition":60598,"Ġscars":60599,"Ġpai":60600,"Ġretries":60601,"Ġrq":60602,"ĠDenis":60603,"(Utils":60604,"Ġalleviate":60605,"ĠPIC":60606,"idue":60607,"Ġacknowledging":60608,"Ġ//////////////////////////////////":60609,"ç¡®å®ļ":60610,"Ä«":60611,"\\Json":60612,".binary":60613,"Ġxtype":60614,"signals":60615,"ĠAppearance":60616,"&r":60617,"}s":60618,"Ci":60619,"ĠIllum":60620,"porate":60621,"hog":60622,"ĠindexOf":60623,"\\Command":60624,"_parallel":60625,"ĠSherlock":60626,"íĥ":60627,"Ġ\"\")čĊ":60628,"////////////////////////////////////////////////////////////////////////////////////////////////":60629,"Ġcriticize":60630,"ĠSoap":60631,"ĠMatcher":60632,"Ġgrilled":60633,"*T":60634,"Ġadore":60635,"ulling":60636,"Ġjedoch":60637,"_refs":60638,"leanup":60639,"ĠJAXB":60640,"Ġroses":60641,"ĠLiam":60642,"sizei":60643,"Ġgetchar":60644,"Ġtarde":60645,"-tooltip":60646,"Ġqualifier":60647,"ĠIntermediate":60648,"_Window":60649,"ĠMalta":60650,"Disconnect":60651,"ewhere":60652,"Campo":60653,"Ġirrational":60654,"ledo":60655,"ĠDN":60656,"ARGV":60657,"Ġoutro":60658,"Ġthirteen":60659,"Joseph":60660,"MAR":60661,"/gl":60662,"Jess":60663,"ĠPsychiat":60664,"ĠpaddingBottom":60665,"-loop":60666,"/fonts":60667,"_seen":60668,"Teams":60669,"ReactDOM":60670,"(man":60671,"(xpath":60672,".getSimpleName":60673,">(*":60674,"ĠPvt":60675,"Ġelders":60676,"Ġpies":60677,".userAgent":60678,"-region":60679,"ĠGreeks":60680,"(fragment":60681,"stu":60682,"Ġcouncils":60683,"Ġstamina":60684,"ĠGoddess":60685,"西":60686,"Ġphilosophers":60687,"Ġpersone":60688,"ĠLose":60689,"ĠCLR":60690,"ĠDocs":60691,"Ġsoak":60692,"ĠHOLDER":60693,"Ġbells":60694,"hashCode":60695,"RATE":60696,"_WEIGHT":60697,"inous":60698,"endra":60699,"ophobic":60700,"Ġprose":60701,"Ġfinely":60702,"/oauth":60703,"(space":60704,"adge":60705,"ĠMama":60706,"ĠstringBuffer":60707,"Ġstint":60708,"Ġmisma":60709,"Ġvillains":60710,"ĠCrimea":60711,"Ġdiploma":60712,"ĠпоÑģл":60713,"ĠBea":60714,"(join":60715,"Ġíķ´":60716,"CHAT":60717,"pering":60718,"ĠCros":60719,"Ġmonkeys":60720,"Ġpreds":60721,"yla":60722,",,,":60723,"Ġvibrator":60724,"ĠNU":60725,"åħĪ":60726,"fant":60727,"zet":60728,"Ġbietet":60729,"unft":60730,"sworth":60731,".Flow":60732,"Ġpsyched":60733,"ĠContinental":60734,">t":60735,"Ġquilt":60736,".UP":60737,"Ġexpansive":60738,"Dispose":60739,"(language":60740,"Caps":60741,"_ZONE":60742,"Ġrecycle":60743,"ĠManaged":60744,"currentColor":60745,".broadcast":60746,"signIn":60747,".prom":60748,"llu":60749,"ueblo":60750,"Ġpunches":60751,"Ġautomat":60752,"Ġassigning":60753,"ĠcreateUser":60754,"ĠAllied":60755,"Ġconductor":60756,"Ĥ¨":60757,"Ġsaddle":60758,"Ġdni":60759,"omedical":60760,"-West":60761,"PositiveButton":60762,"Ġitalic":60763,"?[":60764,"(trigger":60765,"Ġelephants":60766,"\":\"\",\"":60767,"Ġcaliber":60768,"rafted":60769,"digits":60770,"Ġmarshal":60771,"milliseconds":60772,"markers":60773,"mom":60774,"/place":60775,"Ġholistic":60776,":t":60777,"#,":60778,"Ġboto":60779,"Ġnausea":60780,"ĠShooting":60781,"itech":60782,"ĠtextStatus":60783,"())Ċ":61004,"ADDRESS":61005,"BST":61006,"etzt":61007,"ĠQgs":61008,"Sense":61009,"ExceptionHandler":61010,"ĠChu":61011,".getOwnProperty":61012,"Ġexercised":61013,"iotic":61014,"ĠReleases":61015,"Ġpinterest":61016,"olie":61017,"isoft":61018,"Ġsequencing":61019,"Ġpadre":61020,"]));čĊ":61021,"(radius":61022,".med":61023,"ainties":61024,".ObjectModel":61025,"Ġemple":61026,"Ġseguro":61027,"Stars":61028,"Ġqualitative":61029,"lemn":61030,"á»±":61031,">\").":61032,"Ġgx":61033,"-cert":61034,"ĠASTM":61035,"Ġfullname":61036,"Ġtelemetry":61037,"ĠCambodia":61038,"_ul":61039,"ĠClare":61040,"CUSTOM":61041,"QC":61042,"ĠUns":61043,"ĠHTTPS":61044,"ĠParkinson":61045,"ancybox":61046,"','.":61047,"Tue":61048,".getLast":61049,"Ġabi":61050,"Äħd":61051,"Ast":61052,"ĠEditing":61053,".Unity":61054,"jmp":61055,"Ġmats":61056,"ĠsharedPreferences":61057,"Captain":61058,".pageSize":61059,"Ġrtl":61060,"Ġanmeld":61061,"RuntimeObject":61062,"Ġdemande":61063,"(\";":61064,"seite":61065,"-headed":61066,"ĠKra":61067,"ĠFONT":61068,"`\\":61069,"ClassNotFoundException":61070,".avg":61071,"atical":61072,"Aj":61073,"Ġpermitting":61074,"Proj":61075,"ERRQ":61076,"Ġcreampie":61077,"ĠBuyer":61078,"-modules":61079,"ĠSundays":61080,"|`Ċ":61081,"Ġdaytime":61082,"Ġ+(":61083,"Ġglitch":61084,"ĠOperand":61085,"Ġtoxins":61086,"inya":61087,"DNS":61088,"ĠSas":61089,"Cake":61090,"ĠNationals":61091,".addTo":61092,"Ġsinking":61093,"Ġcomprehension":61094,"Ġscor":61095,"agements":61096,"Ġtard":61097,"Ġmarching":61098,"ĠMTV":61099,"Ġsane":61100,"CreateInfo":61101,"ắ":61102,"ĠendIndex":61103,"ĉlayout":61104,"ĠåIJį":61105,"SITE":61106,"ĠTHERE":61107,"Ġ[{'":61108,"opathic":61109,"Ġtransmitter":61110,"/body":61111,"Ġpund":61112,"ĠClosing":61113,"Ġsetattr":61114,"Ġbounded":61115,"Atlas":61116,"suming":61117,"(times":61118,"parer":61119,"ynom":61120,"feit":61121,"Ġfrem":61122,"-leg":61123,"ĠBras":61124,">#":61125,"Ġì¶ľëł¥":61126,"ĠINSTANCE":61127,"ĠCouch":61128,"_hosts":61129,"likelihood":61130,".Marker":61131,"ĠMasks":61132,"Ġcereal":61133,"utilities":61134,"Ġelemental":61135,"Ġdistorted":61136,"inactive":61137,"cry":61138,"WL":61139,"UPPORTED":61140,".Throws":61141,"/schema":61142,"serie":61143,".\"',":61144,"ĠBenedict":61145,"-picker":61146,"iggs":61147,"ĠPirate":61148,"åij¨æľŁ":61149,"ĠThema":61150,"ĠSouthampton":61151,"ĠarrayWith":61152,"ĠPaula":61153,"Ġpredictor":61154,"-Ass":61155,".userid":61156,"Ġperi":61157,"Ġexaggerated":61158,"urate":61159,"arseille":61160,"ĠConcent":61161,"ĠPik":61162,"Ġ@_;ĊĊ":61163,"Ġformations":61164,"Ġdenomin":61165,"\"/>.Ċ":61166,"endedor":61167,"Ġpancre":61168,"Ġamt":61169,"ĠonResume":61170,"onDelete":61171,"ĠBCH":61172,")(\"":61173,"movement":61174,"Ġpotassium":61175,"":69726,"ĠPPC":69727,"isz":69728,"akeFromNib":69729,"ĠDisp":69730,"ĠAthletics":69731,"Ġnightclub":69732,"GOOD":69733,".setGeometry":69734,"+[":69735,"/send":69736,"Ġbinaries":69737,"Ġráp":69738,":req":69739,"-consuming":69740,"ertime":69741,"UPDATED":69742,"_nullable":69743,"VIN":69744,"ulia":69745,"cyan":69746,"Ġmisunderstanding":69747,"orical":69748,"degrees":69749,"Leading":69750,".AR":69751,"ickest":69752,"Nuevo":69753,"uforia":69754,"Ġgoodies":69755,"Ġfores":69756,"()<<\"":69757,"ademic":69758,"ActionCreators":69759,"servername":69760,"(nt":69761,"dbContext":69762,"Ġairborne":69763,"Ġexhibitions":69764,"cele":69765,"Ġtela":69766,"":69782,".setPreferredSize":69783,"ĠMID":69784,"ĠAless":69785,"Ġhorsepower":69786,"Ġatm":69787,"ĠPackaging":69788,"Ġciphertext":69789,"RequestMethod":69790,"Ġbeiden":69791,"è£":69792,"ĠPOW":69793,".WriteHeader":69794,"director":69795,"-but":69796,"ãģłãģķãģĦ":69797,"incer":69798,"_dn":69799,"!!!!!":69800,"Ġmanufactures":69801,".TextUtils":69802,"Ġconsciously":69803,"Ġbounced":69804,"culture":69805,"ĠSpar":69806,"ĠPiper":69807,".press":69808,"-owner":69809,"Ġevaluator":69810,"ĠSTREAM":69811,".PictureBoxSizeMode":69812,"Ġsugars":69813,"ScreenWidth":69814,"ĠnextState":69815,"Ġivory":69816,"Ġbrunch":69817,"density":69818,"_OW":69819,"ĠCoronavirus":69820,"ĠCFR":69821,"bak":69822,"\\Category":69823,"æķ°ç»Ħ":69824,"Ġinvokevirtual":69825,"}()Ċ":69826,"Ġsujet":69827,"-marker":69828,"isdigit":69829,"ĠMobil":69830,"ĠJsonRequestBehavior":69831,"_REMOTE":69832,".existsSync":69833,"Ġriches":69834,".presenter":69835,"ĠglColor":69836,"Ġhanya":69837,"Ġfortress":69838,"Ġflashed":69839,"viz":69840,"requently":69841,"buat":69842,"$con":69843,">|":69844,".Func":69845,"Ġhumorous":69846,"uem":69847,".ZERO":69848,"ĠSTL":69849,"ĠBuk":69850,"/sample":69851,"ĠGros":69852,"Recipes":69853,"Ġinflated":69854,"Ġswung":69855,":F":69856,"Facing":69857,".Theme":69858,"ник":69859,"Ġsplendid":69860,"ĠrequestId":69861,".CenterScreen":69862,"/autoload":69863,"embedded":69864,"_depart":69865,"ĠPorts":69866,"à¹ĥ":69867,"айд":69868,"discussion":69869,"_consum":69870,"Ġscouts":69871,"Ġcolabor":69872,".Stage":69873,".nano":69874,"eldorf":69875,"Ġgemacht":69876,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":69877,"Ġpolicymakers":69878,"_PKT":69879,",Th":69880,"oky":69881,"_UID":69882,"Ping":69883,"Ġorchest":69884,"Ġoptics":69885,"uhan":69886,"ĠXOR":69887,"Ġespañol":69888,"ĠAdidas":69889,"rng":69890,"mans":69891,".vstack":69892,"Ġgetaway":69893,"Ġhierarchical":69894,"anoia":69895,"ĠBitmapFactory":69896,"realm":69897,"ĉap":69898,"_apps":69899,"-divider":69900,".drawer":69901,"ĠHARD":69902,"'];?>Ċ":69903,"-packed":69904,"æ²»":69905,"_STRUCTURE":69906,"[Y":69907,"iParam":69908,"(eq":69909,"Ġencompasses":69910,"Ġ\\ĊĊ":69911,"->[":69912,"&utm":69913,"groupon":69914,"strate":69915,"DY":69916,"omorphic":69917,"':[":69918,"Ġgravitational":69919,"ĠMicha":69920,"ĠTencent":69921,"Ġcoached":69922,"ì¶ľ":69923,"ÑĥменÑĤ":69924,"/mobile":69925,"MouseDown":69926,"bud":69927,"ĠYas":69928,"ĠProviders":69929,"NZ":69930,"ĉreport":69931,"errmsg":69932,"ĠimagePath":69933,"acterial":69934,"ĠManga":69935,"wicklung":69936,"(usuario":69937,"\"));čĊčĊ":69938,"/***":69939,"Ġorganise":69940,"Indexed":69941,"_QUAL":69942,"(PyObject":69943,"Ġsurrendered":69944,"POCH":69945,"ĠNOTES":69946,"\\\\\"":69947,"-job":69948,"Ġseventy":69949,"####Ċ":69950,"ĠManor":69951,"Ġdownright":69952,"Ġtimeframe":69953,"insurance":69954,"checker":69955,"ĠSECRET":69956,"Ġechoes":69957,"ĠCarmen":69958,".setHorizontalAlignment":69959,"ĠisChecked":69960,"ĠTOR":69961,"_nn":69962,"('(":69963,"FetchRequest":69964,"ĠPrinted":69965,"Fluid":69966,"ĠSTACK":69967,"GES":69968,"aigned":69969,"igor":69970,".Unknown":69971,"CBC":69972,"ĠCarlson":69973,".URI":69974,"Ġplight":69975,"/start":69976,"ĠPersonnel":69977,"ĠPREFIX":69978,",**":69979,"Ġlimite":69980,"_heat":69981,"%ï¼Į":69982,"ĠDonne":69983,"getNode":69984,"ĠScientology":69985,"Ġcomet":69986,"Ġwenig":69987,"Aside":69988,"ĠMPEG":69989,"'?":69990,"variably":69991,".endDate":69992,"Ġuncont":69993,"ĠScores":69994,"ĠLoginForm":69995,".generated":69996,",ch":69997,"-mar":69998,"ĠNed":69999,"ĠeventId":70000,"+p":70001,"ĠSIN":70002,"/reset":70003,".REACT":70004,"ĠMessi":70005,"_RANK":70006,".writeFile":70007,"Ġcripp":70008,"esthetic":70009,"ERSIST":70010,"Ġreimbursement":70011,"CurrentValue":70012,"Ġunin":70013,"DownLatch":70014,"ĠpaddingRight":70015,"Ġstocked":70016,"/'.":70017,"Ġrepayment":70018,"trak":70019,"/backend":70020,"Ġизмен":70021,"CSR":70022,"Ġpreventive":70023,"Ġpantalla":70024,"_trim":70025,"Pedido":70026,"hospital":70027,"Ġmanageable":70028,"routeParams":70029,"textures":70030,"......ĊĊ":70031,"Ġsélection":70032,"NameValuePair":70033,"Ġpollut":70034,"Modes":70035,"ĠLaud":70036,"jay":70037,"ĠUrs":70038,"Ġsigner":70039,"ĠJJ":70040,"ĠCherokee":70041,"_EXISTS":70042,"Ġdwar":70043,"Ġ($('#":70044,"Ġreef":70045,">{$":70046,"ĠBaylor":70047,"ĠModelState":70048,"-_":70049,"ĠStructures":70050,"Ġsouvent":70051,"Specify":70052,"(pipe":70053,"Ġfracking":70054,"ĠGPA":70055,"Ġbele":70056,"ĉĉĉĉĉĉĉĠĠĠ":70057,"ĠMinority":70058,"Ġtud":70059,"Ġopenness":70060,"ĠIllustrated":70061,"Ġoxidation":70062,"ĠNK":70063,"ĉUpdate":70064,"ĠEMS":70065,"ĠTeddy":70066,"Ġgenerals":70067,"ĉMat":70068,"Ġradios":70069,"ĠAntique":70070,"conomy":70071,"ĠSquadron":70072,")','":70073,"声":70074,"Ġyoure":70075,"ĠMainPage":70076,"Ġbehaviours":70077,"enght":70078,"(@\"%@\",":70079,"Ġtestcase":70080,"ĠCompilation":70081,"Ġflavours":70082,"ĠExtend":70083,"illator":70084,"Ġcoh":70085,"Ġspline":70086,"ĠKG":70087,"-pay":70088,"Ġcommunism":70089,"ĠBusinesses":70090,"ocking":70091,".MaxLength":70092,"assandra":70093,"quiring":70094,"adden":70095,"ĠJeb":70096,"_fault":70097,"[file":70098,"Ġprominence":70099,"disciplinary":70100,"âĢĶthey":70101,"_extent":70102,"ĠVIC":70103,"Ġentails":70104,".partner":70105,"Ġhippoc":70106,"League":70107,"çĶ·":70108,"wipe":70109,"-spinner":70110,"Ġsalute":70111,"ĠSurgical":70112,"(outputs":70113,"worked":70114,"[strlen":70115,"appointed":70116,"ĠHeg":70117,"ĠACPI":70118,"([^":70119,"uala":70120,"_tol":70121,"ĠRit":70122,".Payment":70123,"kowski":70124,"Ġwalmart":70125,"requirements":70126,"ĠFINSEQ":70127,"_BACKGROUND":70128,"ĠOsborne":70129,"(errorMessage":70130,"Reporting":70131,"Ġauctions":70132,"Ġcombos":70133,"ĠNoticed":70134,"_oct":70135,"Ġprimero":70136,"taire":70137,"_hr":70138,"Ġмод":70139,"Ġcontradictory":70140,"=\"@":70141,"achines":70142,"(optarg":70143,"ĠPenguin":70144,"ĠAbbas":70145,"Ġsublime":70146,"Ġpageable":70147,"ĠDefensive":70148,"Ġdistinctly":70149,"ĠAutomatically":70150,"Understanding":70151,"EqualityComparer":70152,"gota":70153,"Ġ\"::":70154,"Ġpulver":70155,"ĠBattles":70156,"Ġunparalleled":70157,"TCHA":70158,"Ġconstrued":70159,"-aff":70160,"Ġprecursor":70161,"-lfs":70162,"Ġmaduras":70163,"ĠDaisy":70164,"ĠArbeits":70165,".Management":70166,"ĉIn":70167,"Ġrobes":70168,"Ġspéc":70169,"âĢľ(":70170,"Ġmaternity":70171,"extent":70172,"ĠSpacer":70173,"DidAppear":70174,"ĉus":70175,".getRequestDispatcher":70176,"(cols":70177,"Ġplummet":70178,"ìħ":70179,"Ġ{ĊĊĊĊ":70180,"érica":70181,"ĠSizes":70182,".enum":70183,".Highlight":70184,"Ġ!!}ĊĊĊ":70193,"Wenn":70194,"Ġclimax":70195,"Ġcrem":70196,"_that":70197,"[âĢ¦":70198,"_domains":70199,"_REPLY":70200,"Ġcompleta":70201,"VEST":70202,"_particle":70203,"Ġsop":70204,"Ġfatalities":70205,"implify":70206,"ĠSKF":70207,"Ġinfusion":70208,"ĠJavier":70209,"Ġballet":70210,"Ġamigo":70211,".want":70212,"Ġcollagen":70213,"ĠLawyer":70214,".Statement":70215,".rt":70216,"baar":70217,"EndPoint":70218,"ĠBek":70219,"SHIP":70220,"Ġpatriarch":70221,"ĠAunt":70222,"_TM":70223,"ĠmÃŃn":70224,"Ġmastered":70225,"WXYZ":70226,"Ġespos":70227,"=logging":70228,"Ġrighteousness":70229,"torrent":70230,"Ġbst":70231,"_CHAIN":70232,"Ġoutskirts":70233,"(rotation":70234,"Ġ'.')":70235,"igrants":70236,"+lsi":70237,"ĠCCTV":70238,"_PHASE":70239,".azure":70240,"_Process":70241,"vae":70242,"ĠTropical":70243,"ĠAnkara":70244,"imageView":70245,"_RUNNING":70246,"Ġ*)__":70247,"ến":70248,"(cli":70249,"scatter":70250,"Ġsche":70251,"Registrar":70252,"Ġairing":70253,"Ġpyplot":70254,"isión":70255,"/customer":70256,"Ġsimplement":70257,"Ġclassy":70258,"ĠDWC":70259,"ĠBashar":70260,"ĠDEVELO":70261,"ĠVick":70262,"avail":70263,"ĠHö":70264,"_extend":70265,"drFc":70266,".isNotBlank":70267,"Ġplais":70268,"|}Ċ":70269,"Ġpornofil":70270,"labs":70271,"Ġhaus":70272,"Ġoriginating":70273,"Ġsurrounds":70274,"ĠQUAL":70275,"meg":70276,"/logger":70277,"[obj":70278,"Ġirresponsible":70279,"ĠPublicKey":70280,"HONE":70281,":'/":70282,"ibox":70283,"ĠFVector":70284,"|{Ċ":70285,"ataloader":70286,"hawks":70287,"HDR":70288,"Ġescalation":70289,"ĠPodsDummy":70290,"elite":70291,"Ġpresup":70292,"Cached":70293,">G":70294,".optimizer":70295,"ĠVisible":70296,"´Ģ":70297,"Ġnen":70298,"Ġpcs":70299,"ĠIdle":70300,"[Any":70301,"Ġkeyboards":70302,"ĠCOMPONENT":70303,"Ġtitanium":70304,"(mut":70305,"ĠLedger":70306,"Ġprosperous":70307,"etrofit":70308,"_LL":70309,"_patient":70310,"Ġpdata":70311,"Ġkontakte":70312,"Swipe":70313,"Ġcheerful":70314,"ĠHonduras":70315,"\"][$":70316,"Ġhemorrh":70317,"\":\"+":70318,"Ġleasing":70319,"Ġinstalls":70320,"ĠPax":70321,"ĠLogistics":70322,"Ġkinetic":70323,"ĠPhon":70324,"_movement":70325,"ĉbytes":70326,"Ġcinco":70327,"ĠMadness":70328,"\")+":70329,"ĠJE":70330,"_ij":70331,"SceneManager":70332,"ĠBust":70333,"ptest":70334,"aea":70335,"Ġbesser":70336,"ÃŃg":70337,"дин":70338,"(tasks":70339,"(\"(\"":70340,"setType":70341,"(outfile":70342,"ĉreset":70343,"ĠARC":70344,"Ġmúsica":70345,"ĠShelf":70346,"ĠminY":70347,"pch":70348,"Ġweiber":70349,"issor":70350,"Ġtrouve":70351,"ĉButton":70352,"Ġregenerated":70353,"Å£i":70354,"imachinery":70355,"blocking":70356,".dataTables":70357,"_frac":70358,"ĠAdvantage":70359,".visitMethod":70360,"éĩįæĸ°":70361,"Ġextrapol":70362,"Ġteasing":70363,"ĠHitch":70364,"ĠGeek":70365,"ESCO":70366,"Ġwich":70367,"ĉax":70368,"_decor":70369,"ĠscreenWidth":70370,"ĠSophia":70371,"Forgot":70372,".uni":70373,"ĠVenture":70374,"_collision":70375,"Ġlawmaker":70376,"(Edit":70377,"blers":70378,"ĠgetNext":70379,"âĢĶyou":70380,"MediaPlayer":70381,"ĠHorde":70382,"ĠCongressman":70383,"observations":70384,"ĉproperty":70385,"Ġ<--":70386,"CreatedAt":70387,"ubyte":70388,"Ġquarantine":70389,"Ġdistressed":70390,"_APB":70391,"ĠGoodman":70392,"ãĤ«":70393,"Ġrecomend":70394,"_PRINTF":70395,"DONE":70396,"Bindable":70397,"rstrip":70398,"centaje":70399,"ĠUnexpected":70400,"ĠSCHOOL":70401,"ĠProfessionals":70402,"ĠGPUs":70403,"Lesson":70404,"Exclusive":70405,"Ġatrav":70406,"ĠDank":70407,"ĠLawyers":70408,"ĠWalton":70409,">[]":70410,"Ġaloud":70411,"=\"../../../":70412,"Ġdebating":70413,"ĠAVG":70414,"_VOL":70415,"/cgi":70416,".deg":70417,":g":70418,".Infof":70419,"MeasureSpec":70420,".song":70421,"mtree":70422,"ulls":70423,"Jordan":70424,"ĠCovers":70425,"Ġattributable":70426,"Ġjedis":70427,"iatrics":70428,"Ġrotterdam":70429,"Ġmeld":70430,"ĠContentType":70431,"Ġmantle":70432,"Ġalice":70433,"_duplicate":70434,"/Internal":70435,"Ġfilesize":70436,"ĉfire":70437,"rese":70438,"ondere":70439,"Ġfamiliarity":70440,"ĠCrest":70441,"Ġkarma":70442,"Ġtorino":70443,"Ġmesa":70444,"/temp":70445,"Ġchir":70446,"ĠOverflow":70447,"Ġtenemos":70448,"unik":70449,"NEXT":70450,"Alle":70451,"Ġnxt":70452,"Mart":70453,"Ġatl":70454,"Ġperiodo":70455,"_you":70456,"Ġ})).":70457,"intestinal":70458,".AdapterView":70459,"Ġhesitant":70460,"Ġcomparatively":70461,".UInt":70462,"(viewModel":70463,"Ġsangat":70464,"ĠResponsive":70465,"ĠZack":70466,"âħ":70467,"JAVA":70468,"ĠFuller":70469,"ĠâĿ¤":70470,".Consumer":70471,"Ġank":70472,"Ġreactors":70473,"fuck":70474,"_rat":70475,"ĠsessionFactory":70476,"_backward":70477,"Ġscrambled":70478,"ĉth":70479,"Ġinsensitive":70480,"Ġchamps":70481,"Ġnginx":70482,"Ġconhec":70483,"ĠJasper":70484,".fm":70485,"StrictEqual":70486,"achsen":70487,"-Nov":70488,"lassen":70489,".integration":70490,"(lbl":70491,"Compose":70492,"ĠFon":70493,"Ãļ":70494,"Gratis":70495,"ĠLime":70496,"ĠAdapterView":70497,"Ġpoisoned":70498,"anchors":70499,"设计":70500,"']?>\"":70501,"Ġprocur":70502,"Italy":70503,".MONTH":70504,"ĠLUA":70505,"ĠLithuania":70506,"ĠHeads":70507,"_CHUNK":70508,"ĠPUSH":70509,"AspectRatio":70510,"Ġweg":70511,"Ġvids":70512,"ĠWein":70513,"ĉINT":70514,"sessionId":70515,"Industry":70516,"Ġdenounced":70517,"JKLM":70518,"ĠVanessa":70519,".Identifier":70520,"propri":70521,"Ġиг":70522,"Ġtécn":70523,"Ġmosaic":70524,"StreamReader":70525,"-Th":70526,"forth":70527,"Ġadherence":70528,"bate":70529,"Ġknights":70530,"sounds":70531,"Ġsalle":70532,"OMET":70533,"ãĤ¹ãĥĪ":70534,"-tm":70535,"ĠRhe":70536,".FileOutputStream":70537,"åĪĨç±»":70538,"ĠENG":70539,"holiday":70540,"ĠCongratulations":70541,")(Ċ":70542,"Ġaggregates":70543,"HOOK":70544,"ewire":70545,"Senator":70546,"Ġembeddings":70547,"epy":70548,"(COM":70549,"Ġrobber":70550,"äter":70551,"wang":70552,"_teacher":70553,"Ġresentment":70554,"Ġlettuce":70555,"erreur":70556,"(ic":70557,"ĠTactical":70558,"ĠContracts":70559,"Ġmænd":70560,"Ġsitios":70561,"Ġbastante":70562,"Ġnuevos":70563,"ĉNdrFc":70564,"ĠprivateKey":70565,"ucch":70566,"MMdd":70567,"Ġè¾ĵåĩº":70568,"umba":70569,"@foreach":70570,":\");ĊĊ":70571,"Ġslippery":70572,"ĠKeystone":70573,"Ġpioneering":70574,"_triangle":70575,"(\"Ċ":70576,"ĉĉĉĉĉĉĉĉĠĠ":70577,"ĠIntervention":70578,"SCI":70579,"ĠcJSON":70580,"Ġterminating":70581,"ë¹Ħ":70582,"Ġbabys":70583,"Subset":70584,"Ġë¡":70585,"Ġseulement":70586,"Ġmuestra":70587,"Entre":70588,"以ä¸Ĭ":70589,"ngo":70590,"\"bytes":70591,"QRST":70592,"Ġypos":70593,"persona":70594,"ĠDeploy":70595,"cee":70596,"Ġà®":70597,".goal":70598,"Ġhabitats":70599,"ĠisAdmin":70600,"Ġexploiting":70601,"Ġventil":70602,"ĠBalls":70603,"اب":70604,"Ġmindfulness":70605,"(kwargs":70606,"Ġresembling":70607,"Ġchoir":70608,"ĠonBackPressed":70609,"ĠSECURITY":70610,"/gtest":70611,"Ġjustices":70612,"ĠintegerValue":70613,"blah":70614,"ĠAim":70615,"_finalize":70616,"keh":70617,"ĠComplexity":70618,"Ġaugust":70619,"getElementsByTagName":70620,"Ġpreach":70621,"Ġpronunciation":70622,"ĠTrash":70623,"-percent":70624,"_PRIV":70625,"ĠHunts":70626,"ĠCurse":70627,"uellen":70628,"Ġheavyweight":70629,"Xi":70630,"ĉselected":70631,"ĠMcCoy":70632,"å¼Ĥ常":70633,"|=Ċ":70634,"ĠBattlefield":70635,"ItemImage":70636,"Ġdeductions":70637,"ĠElemental":70638,"());//":70639,"ĠBurk":70640,"})čĊčĊ":70641,"swift":70642,"/function":70643,"Usually":70644,"_St":70645,"_feats":70646,"ĠIsValid":70647,"Ġzad":70648,"ImageContext":70649,"Ġclassname":70650,"Ġdonner":70651,"Ġ-->ĊĊĊ":70652,"Ġmotorcycles":70653,"+'/'+":70654,"ĠsetBackground":70655,"\\CMS":70656,".AllArgsConstructor":70657,"ĠLexington":70658,".examples":70659,"ĠPurs":70660,"PushMatrix":70661,"Ġ==============================================================":70662,".addTarget":70663,"pora":70664,"Fullscreen":70665,"Ġgoof":70666,"hlen":70667,"äge":70668,"ĠCURL":70669,"ĠInteresting":70670,"Ġretrieves":70671,"_Obj":70672,"inness":70673,"-----ĊĊ":70674,".tsv":70675,"(IM":70676,"ĠBraves":70677,"_ISR":70678,"osti":70679,"á»ĵ":70680,"ĠExterior":70681,"ĠCourtney":70682,"Ġresidues":70683,"Tier":70684,".*;čĊčĊ":70685,":black":70686,"webView":70687,"\"path":70688,"Ġmasa":70689,"]!='":70690,"ĠMatching":70691,"dur":70692,"Jvm":70693,"=context":70694,"_RING":70695,"Ġproponents":70696,"ĠQStringLiteral":70697,"Ġinflate":70698,"\">čĊ":70931,"_COST":70932,"ilinear":70933,"ĠWorkspace":70934,"Ġspel":70935,"agogue":70936,"ĠMillennium":70937,"ĠPopulate":70938,"Ġnid":70939,".parseColor":70940,"Solar":70941,"ĠGad":70942,"Ġì¤ij":70943,"ĠKamp":70944,"ĉrm":70945,"Ġbenz":70946,"ĠHonestly":70947,"Ġelectrode":70948,"ĠPrairie":70949,"ĠPROFILE":70950,"ĠOriental":70951,"ĠOLED":70952,"/copyleft":70953,"awaii":70954,"(products":70955,")\\<":70956,"-created":70957,".ManyToMany":70958,"\"How":70959,"ĠвÑĭп":70960,"Ġmitochondrial":70961,"_testing":70962,"(created":70963,"ĠgetField":70964,"_EVAL":70965,"].\"":70966,"ĠFSM":70967,"ĠRita":70968,"ĠåıĤæķ°":70969,"Ġcôt":70970,"ĠInsight":70971,"ĉmysqli":70972,"_timing":70973,"IDO":70974,")))))Ċ":70975,"COVERY":70976,".imag":70977,"CDF":70978,"lust":70979,"ickt":70980,"_FP":70981,".','":70982,"gcc":70983,"Ġkurz":70984,"_pwm":70985,"Ġodpowied":70986,"ĠBarrier":70987,"/***************************************************************************Ċ":70988,"pak":70989,"-Israel":70990,"ĠRutgers":70991,"ĠselectedItem":70992,"ĠRamirez":70993,"Farm":70994,"Ġcalendars":70995,"gzip":70996,"Ġblockbuster":70997,"ĠPlymouth":70998,"çľĮ":70999,"responses":71000,".DialogInterface":71001,"-grand":71002,"ĠgetSource":71003,"Ġdejtings":71004,"Ġtieten":71005,"Ġcondemnation":71006,"Ġcontinuar":71007,".MockMvc":71008,"/english":71009,"ĠMediaPlayer":71010,"computed":71011,"ĠClippers":71012,"(delegate":71013,".Slf":71014,"Ġë¡ľ":71015,"ĠTide":71016,"Ġihrem":71017,"ĠWan":71018,"ÑĥÑİÑī":71019,"}><":71020,"Discussion":71021,"Ġwatts":71022,"-minus":71023,"ĠJuliet":71024,"éĽħ":71025,"Ġconcluding":71026,"andscape":71027,"Ġúltima":71028,"ĠDERP":71029,"ĠsignUp":71030,"ĠSecondly":71031,"WAIT":71032,"lds":71033,".callbacks":71034,"(hour":71035,"imators":71036,"volent":71037,"AAF":71038,"edriver":71039,"ĠMathematic":71040,"'":71042,"{j":71043,"_ABORT":71044,"Ether":71045,"Ġeducator":71046,"Ġprecaution":71047,"Ġfingertips":71048,"getVar":71049,"camatan":71050,"-debug":71051,"ĠRAF":71052,"[arg":71053,"Ġraced":71054,"Ġtsunami":71055,".flink":71056,"Ġglyc":71057,"uko":71058,"ĠMultiply":71059,"Ġredistribution":71060,"AGO":71061,"ĠRoutine":71062,"Ġopr":71063,"(lower":71064,"ĠFunktion":71065,".dk":71066,"Ġegt":71067,"_BASIC":71068,"syscall":71069,"ĠLSD":71070,"ĠDuplicate":71071,"_sell":71072,"ĠerrorHandler":71073,"_ips":71074,"Ġerv":71075,"annie":71076,"(resourceName":71077,"Ġbottled":71078,"Ġcrawling":71079,"egment":71080,".setTag":71081,"Ġrss":71082,"ĠQuarry":71083,"_exact":71084,".jwt":71085,"ĠBoards":71086,"opi":71087,"Ġnasal":71088,"ĠXYZ":71089,".ud":71090,"Northern":71091,"Ġactivating":71092,"edx":71093,"ovah":71094,"Ġindx":71095,"AlertDialog":71096,"Ġtienes":71097,"annya":71098,"_pan":71099,"(decimal":71100,".Dict":71101,"Ġsubsidiaries":71102,"ProductName":71103,"Few":71104,"dato":71105,"odied":71106,"-under":71107,"Ġê²ĥ":71108,"çīĪæľ¬":71109,"atism":71110,"[Math":71111,".'<":71112,"(infile":71113,"Ġdenotes":71114,"$class":71115,"_SECURITY":71116,"Ġsewage":71117,"melon":71118,"(Character":71119,"/github":71120,"Ġglaring":71121,".Guid":71122,"_sparse":71123,"ĠMargin":71124,"_dns":71125,"Ġmeiner":71126,"Ġleftist":71127,"ĉloc":71128,"abytes":71129,"Ġequipments":71130,"expo":71131,"ĠSomerset":71132,"EK":71133,"æį¢":71134,"Ġlecturer":71135,"Ġmemiliki":71136,"æł¸":71137,"ç´ł":71138,"pron":71139,":pointer":71140,"borrow":71141,"ĠProtective":71142,"_cf":71143,"ĠÐķÑģли":71144,"bpp":71145,"';ĊĊĊĊ":71146,"aturally":71147,"_NAV":71148,"Ġpeptide":71149,">d":71150,"Ġifstream":71151,"_FACTORY":71152,"');//":71153,"joined":71154,"mong":71155,"Ġtimespec":71156,"Ġdestabil":71157,"Ġautop":71158,"-limit":71159,"publication":71160,"ĠDenn":71161,".Memory":71162,"(skb":71163,"ĠAnaheim":71164,"_RETURNTRANSFER":71165,"oueur":71166,"(_('":71167,"legt":71168,"istingu":71169,"ĉpriv":71170,"Ġredirects":71171,"Mt":71172,"Ġalleen":71173,"ĠPointF":71174,"Ġomin":71175,"Ġcitt":71176,"ĠTage":71177,"ĠWalls":71178,"á»ī":71179,"Ġoccupying":71180,"xBF":71181,"rangle":71182,"Ġrelational":71183,"-org":71184,"Ġjpg":71185,"-derived":71186,"Ġmalfunction":71187,"ĠBenson":71188,"(scroll":71189,"ĠXD":71190,"Holy":71191,"(commands":71192,"Ġtipping":71193,"Ġprimitives":71194,"Ġsexle":71195,"CallCheck":71196,"ĠMASTER":71197,"_TEAM":71198,".setRequestHeader":71199,"_specs":71200,"Ġserge":71201,".Master":71202,"Ġims":71203,".SpringBootTest":71204,"paypal":71205,"ĠWANT":71206,".Inst":71207,"ĠCarpet":71208,"Ġwrongly":71209,"($('.":71210,"Ġbild":71211,".Roll":71212,"ĠUrb":71213,"-can":71214,"ãģıãģłãģķãģĦ":71215,"oliberal":71216,"čĊčĊ":71610,"ĠMahm":71611,"}\";ĊĊ":71612,"Ġdq":71613,"ĠPublishers":71614,"ĠAmpl":71615,"ĠDanielle":71616,"Ġtern":71617,"èµ·":71618,"noÅĽÄĩ":71619,"ein":71620,"ĠAsyncStorage":71621,"unger":71622,"rouw":71623,"Ġscissors":71624,"/assert":71625,".bucket":71626,"/archive":71627,"_Man":71628,"Ġintoler":71629,"Ġ()=>":71630,"ĠÐĴÑĭ":71631,"Ġsai":71632,".xy":71633,".\"čĊ":71634,"Ġurinary":71635,"esub":71636,"ISTICS":71637,"Ġκ":71638,"Ġcompliments":71639,"ĠtypingsJapgolly":71640,"ihar":71641,"Expansion":71642,"ĠServing":71643,"_students":71644,"ĠXBOOLE":71645,"(il":71646,"Ġì²ĺ":71647,"Ġjó":71648,"(tol":71649,"(JS":71650,"ĉCG":71651,"ĠDRAW":71652,"twig":71653,"Ġoat":71654,"_smooth":71655,"ĠCSL":71656,"Ġosob":71657,"Ġensuing":71658,"Ġbanker":71659,"ĠBackpack":71660,"_ping":71661,"Ġwishlist":71662,"=ax":71663,"ĉĠĠĠĊ":71664,"Disney":71665,"steady":71666,"\">%":71667,"Ġprophets":71668,"ĠZX":71669,"Ġminimalist":71670,".PLAIN":71671,"Seattle":71672,".ordinal":71673,"ĠPIPE":71674,"Ġretorna":71675,"Ġjugador":71676,"ĠBret":71677,"ĠâĶľ":71678,"Ġplush":71679,"ULATOR":71680,"Sorting":71681,".gridy":71682,"ectomy":71683,"_activ":71684,"rack":71685,"Interactive":71686,"ĠAntarctica":71687,"Ġvengeance":71688,"enso":71689,"_known":71690,"upplier":71691,".Modules":71692,"ĠConnectionState":71693,"éļIJèĹı":71694,"@FindBy":71695,"Ġplacer":71696,"\\model":71697,"<()>":71698,".isSuccessful":71699,"-good":71700,"bz":71701,"ĠDraco":71702,"Assistant":71703,"-extra":71704,"аблиÑĨ":71705,"Ġhypocrisy":71706,"Ġtst":71707,"ĠAgr":71708,"$txt":71709,"Ġlogistic":71710,"licensed":71711,"ĠHof":71712,"Ġtat":71713,"(iv":71714,"Ġintoxic":71715,"postId":71716,"_strike":71717,"Ġhumiliation":71718,"pcodes":71719,"\"sync":71720,"(recipe":71721,"+N":71722,"rente":71723,"ĉClient":71724,"ycopg":71725,"ĠZurich":71726,"ĠProfiles":71727,"Countries":71728,"Ġpict":71729,"Ġrollout":71730,"requencies":71731,"Ġpatched":71732,"Ġcartridges":71733,"Ġshading":71734,"Jar":71735,"Ġsalvage":71736,"ĠTaxes":71737,"Ġstandby":71738,"aporan":71739,"Eigen":71740,".angular":71741,"ĠNested":71742,"享":71743,"ĠisVisible":71744,"ĠDwight":71745,"_BRANCH":71746,".Delay":71747,"Ġkend":71748,"Ġfacilitated":71749,".flatMap":71750,"Ġsanta":71751,"ĉSend":71752,"/messages":71753,"ĠofType":71754,"ĉswap":71755,"#plt":71756,"ĠTurks":71757,"NES":71758,"Ġprogressively":71759,"ĠResidence":71760,"ĠTREE":71761,"Ġnoen":71762,"dio":71763,"Ġnelle":71764,"Ġsogar":71765,"itti":71766,"weekly":71767,"Ġambiguity":71768,"_Settings":71769,"Ware":71770,".neo":71771,"_DST":71772,"Ġæĸ¹":71773,"prep":71774,"lobby":71775,"@email":71776,"/movie":71777,"Ġfunkc":71778,"ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĊ":71779,"ÂŃs":71780,"Ġguardians":71781,"-pos":71782,"Ġconfiguring":71783,"ĠCPS":71784,"ĠDeus":71785,"Ġvidéos":71786,"_empresa":71787,"Ġslapped":71788,"',Ċ":71820,"_XDECREF":71821,"ĠBuzzFeed":71822,"_MARGIN":71823,"PLOY":71824,".small":71825,"ĠmimeType":71826,"Ġholog":71827,"ĉcamera":71828,"lias":71829,"Ġsuspense":71830,"odynam":71831,"bau":71832,"Ġgraveyard":71833,"_named":71834,"\":\"'":71835,"Ġ************************************************":71836,"ĠgameOver":71837,"ĠLENGTH":71838,"ĉscreen":71839,"ĠdoInBackground":71840,"_dependencies":71841,"Ġrtc":71842,"/up":71843,"_ROM":71844,"Hall":71845,"Ġdeficiencies":71846,"(te":71847,"'#":71848,"_equiv":71849,"Ġpreorder":71850,"ĠAxe":71851,"омÑĥ":71852,".sendFile":71853,"Ġfilt":71854,"ĠLimits":71855,"ĠCavaliers":71856,".discount":71857,"âĨIJ":71858,"ĠWit":71859,"QRSTUV":71860,"Ġij":71861,"Ġtegen":71862,"Ġ:\",":71863,"difficulty":71864,"punkt":71865,"ĠEmails":71866,"chlor":71867,"(fun":71868,".Uint":71869,"ĠStall":71870,"_verified":71871,"uD":71872,"FileType":71873,"Ġpleasures":71874,"Ġjudiciary":71875,"Ġsham":71876,"ipur":71877,"_PLUS":71878,"offers":71879,"(foo":71880,"_GT":71881,"ĉcore":71882,"ENTION":71883,"ĠLiberation":71884,"CommandLine":71885,"_department":71886,".Ar":71887,"_neighbor":71888,"ĠSubmitted":71889,"ĠĊ":96121,"Ġdroits":96122,"Ġhomosexuals":96123,"Ġabduction":96124,"ĉwidget":96125,"$headers":96126,"ĠDAR":96127,"Ġfla":96128,"threat":96129,"Ġlouis":96130,".GetProperty":96131,"\"Just":96132,"(frames":96133,"ryo":96134,"profession":96135,"|i":96136,"íķ´ìĦľ":96137,"(sv":96138,"Ġunrecognized":96139,"Ionic":96140,"Fashion":96141,"ScreenState":96142,"ĠIncoming":96143,"NotNil":96144,"Ġsyncing":96145,"emie":96146,"Ġthermo":96147,"_procs":96148,"Ġinconsistency":96149,"religious":96150,".mj":96151,"Ġpersonn":96152,"Ġmomentos":96153,"orarily":96154,"ĠæĬ":96155,"_neurons":96156,"Illustr":96157,"imoto":96158,"ilik":96159,"ĠWoj":96160,"Trading":96161,"Ġappare":96162,"Ġentreprises":96163,"achat":96164,"Ġ¬":96165,"Ġneigh":96166,"BUTTONDOWN":96167,"ĠMaher":96168,"aghan":96169,"-hash":96170,"\"f":96171,"Ġclientele":96172,".addButton":96173,"ĉSP":96174,"Qi":96175,"Ġgrated":96176,"POSITE":96177,":>":96178,"ĠHowell":96179,"ĠComparative":96180,"ĠISC":96181,"ÂŃi":96182,"Ocean":96183,"Davis":96184,"ĠFilme":96185,"Wins":96186,"ĠJIT":96187,"occer":96188,"ĠCorm":96189,"ENCHMARK":96190,"rchive":96191,"icação":96192,"Ġmata":96193,"Ġchildbirth":96194,"ĠOptionally":96195,"Ens":96196,"Ġxhttp":96197,"Ġelucid":96198,"_OscInitStruct":96199,"))):Ċ":96200,"Ġintuit":96201,"ĠDonate":96202,"Ġcorrelates":96203,">Delete":96204,"Ġequipe":96205,"Ġboca":96206,"Ġinflatable":96207,"erah":96208,"ĠDateTimeKind":96209,"Ġcalves":96210,"\\Lib":96211,"Ġemlrt":96212,"ĠTrilogy":96213,"ĠPanc":96214,"ĠDuis":96215,"ĠpelÃŃcula":96216,"WARDS":96217,"_DETECT":96218,"-sectional":96219,"dhcp":96220,"ForRow":96221,"-destruct":96222,"ĠPresenter":96223,"/slick":96224,",on":96225,"ĠCitadel":96226,"loggedin":96227,"_subtype":96228,"Ġsigue":96229,"Ġcuring":96230,"ĠFirewall":96231,"Ġfluorescence":96232,"ĠItalians":96233,"иÑĤÑģÑı":96234,".getStyle":96235,"InSeconds":96236,"jie":96237,"-Smith":96238,"Ġxlink":96239,"Ġsubmissive":96240,"онÑĤ":96241,"arbonate":96242,"ĠFaul":96243,"_goals":96244,"ĠCommissioners":96245,"chartInstance":96246,"_POSTFIELDS":96247,"Ġmedial":96248,"Ġmanos":96249,"Ġdelt":96250,"svm":96251,".Apis":96252,"ephy":96253,"Ġasympt":96254,"ĠappDelegate":96255,"Ġimprobable":96256,"cka":96257,"simd":96258,"/Error":96259,".âĢĵ":96260,"ĠPTS":96261,"deer":96262,"Ġsina":96263,"magnitude":96264,"IDADE":96265,"']}'":96266,"Ġmayores":96267,"ĉcomment":96268,"/console":96269,"\"@":96270,"volt":96271,".sell":96272,"ĠMacy":96273,"Ġmelod":96274,"Ġimágenes":96275,"_chg":96276,"Ġinout":96277,"idente":96278,")'),Ċ":96279,"dni":96280,".blob":96281,"Ġtypography":96282,"Ġeerie":96283,"_OID":96284,"pesan":96285,"ajan":96286,"Ġchopping":96287,"Ġbluff":96288,"adf":96289,"_bases":96290,".Formatter":96291,"Ġ\\%":96292,"ĠPageInfo":96293,"Carrier":96294,"ĠCalibration":96295,"como":96296,"-bodied":96297,"Ġfinancier":96298,"ĠINA":96299,".ERR":96300,"Ġhoodie":96301,"ĠSanity":96302,"guarded":96303,".opendaylight":96304,"ISMATCH":96305,"Highlights":96306,"ünk":96307,"aniem":96308,"angered":96309,"assignments":96310,"Ġregistrado":96311,"ĠUPPER":96312,"ampilkan":96313,"ashire":96314,"ĠNikola":96315,"ĠCFL":96316,"ĠHDC":96317,"Ġpoids":96318,"ĠIPs":96319,"Ġpreventative":96320,"ipsoid":96321,"ifix":96322,".camel":96323,".ga":96324,"Volumes":96325,"-ste":96326,"Yahoo":96327,"_sibling":96328,"Highest":96329,"optgroup":96330,"Ġkvinna":96331,"âĢĿãĢĤĊĊ":96332,"ĠAppliances":96333,"Ġ\"><":96334,"')\")Ċ":96335,"htt":96336,"ĠIdentified":96337,"Ġpencils":96338,"ĠmemberId":96339,"ĠappendString":96340,".loadData":96341,"ĠmockMvc":96342,"Ġjub":96343,"ĠSlut":96344,"ĠTaipei":96345,"statt":96346,"Polit":96347,"Ġpartager":96348,"DidChange":96349,"Increases":96350,")}.":96351,"ĠBaba":96352,"_CLIP":96353,"[unit":96354,"ĠклÑİÑĩ":96355,"Ġalcuni":96356,"ĠLola":96357,"Ġclinging":96358,"@PostMapping":96359,"(concat":96360,"Ġssid":96361,"ĠFauc":96362,"okit":96363,"ĠRecorded":96364,"ález":96365,"($('<":96366,".assertIsNot":96367,"Ġkali":96368,"Volt":96369,"Ġwarmly":96370,"Ġscares":96371,"getti":96372,"führt":96373,"_does":96374,".EMAIL":96375,"imations":96376,"Ġspringfox":96377,"ĠDecom":96378,"arcy":96379,"Ġglitches":96380,"ĠMoff":96381,"ĠVoll":96382,".between":96383,"Ġcoorden":96384,"ĠParticularly":96385,"GBP":96386,"Ġsemble":96387,"Eastern":96388,"_MSB":96389,"]){čĊ":96390,"morgan":96391,"ĠEVAL":96392,"dere":96393,"HOUSE":96394,"moire":96395,"istique":96396,"_lstm":96397,"-commit":96398,"ysterious":96399,"Ġtwink":96400,"-thumbnails":96401,"enÃŃ":96402,":'',":96403,"Ġblackout":96404,"ĠFloors":96405,"Ġsofas":96406,"Ġoui":96407,"leshoot":96408,"ĠRaq":96409,"-abs":96410,"Ġkra":96411,"Mining":96412,"shaft":96413,".setColumns":96414,"Clazz":96415,"PRETTY":96416,".playlist":96417,"éĸ¢":96418,"-Saharan":96419,"MING":96420,"ĉbl":96421,"è®®":96422,"jf":96423,"DOCKER":96424,"hopefully":96425,"(ignore":96426,"ĠUsersController":96427,"ĠMitarbeiter":96428,"ĠLES":96429,"Hamilton":96430,"-metadata":96431,"ĠKK":96432,"iktig":96433,"Ġwollte":96434,"egrator":96435,"]bool":96436,",current":96437,"ĠvalueType":96438,"Ġexcavation":96439,"oland":96440,"Ġverv":96441,"/filepath":96442,"AuthProvider":96443,"Ġprocrast":96444,"ĉULONG":96445,"_MEMBERS":96446,"Ġuplift":96447,"ĠAutonomous":96448,"Ġartworks":96449,"ĠOutreach":96450,"Ġpore":96451,"Homepage":96452,"DialogTitle":96453,"ĠGenerating":96454,"PARSE":96455,"Ġsemanas":96456,"Ġhumano":96457,"JSGlobalScope":96458,"Ġvolte":96459,"Ġbella":96460,"(isinstance":96461,"Ġplc":96462,"\\Catalog":96463,"Ġesteemed":96464,"鼷":96465,"(suffix":96466,"Ġsweeps":96467,"ĉORDER":96468,"Ġdoivent":96469,"ĠSwarm":96470,"ĠCompiled":96471,"getPage":96472,"ADR":96473,".RichTextBox":96474,"ĠNaming":96475,"agged":96476,"ĠGANG":96477,"rasing":96478,"odeled":96479,"Ġgala":96480,"ĠJSName":96481,"ddf":96482,"Ġillust":96483,"ĠLansing":96484,"[port":96485,"-death":96486,"Ġdinheiro":96487,"ĠEighth":96488,"Ġbian":96489,"stÃ¥":96490,"Ġversión":96491,"ĠLinearGradient":96492,"ĠHarding":96493,".*)":96494,"eczy":96495,"$header":96496,"ĠvÃ¥r":96497,"Unchecked":96498,"Ġkoje":96499,"ĠPaladin":96500,"())),":96501,"Giving":96502,"()})Ċ":96503,"Ġdips":96504,"Friendly":96505,"Ġportrays":96506,"Ġhelium":96507,"Ġinsurgency":96508,"_expiry":96509,"ĠstringByAppendingString":96510,"Ġaantal":96511,"slope":96512,"mast":96513,".getInteger":96514,"Ġ########################":96515,"_PIPELINE":96516,"Ġdensely":96517,"Ġmutating":96518,"midi":96519,"ĠSeit":96520,"ayne":96521,"NOWLED":96522,"ĠDesmond":96523,"ĠFName":96524,"ĠNairobi":96525,"\\Context":96526,"Ġcalcular":96527,"-den":96528,"Ġcott":96529,"]):čĊ":96530,"ĠRecommendation":96531,"ĠRolex":96532,"ĠvalidationResult":96533,".pat":96534,"ĠnÃły":96535,"ĠRestClient":96536,"ĠGPI":96537,"ĠAsheville":96538,"ĠOSP":96539,"ĠPERMISSION":96540,"ÐĶаÑĤа":96541,"/notification":96542,"Knight":96543,"_Word":96544,"ĠBender":96545,"ranking":96546,"Ġpartida":96547,"_reservation":96548,"ÌĢ":96549,"ĠmName":96550,"Ġgetch":96551,"Ġborr":96552,"Ġdiligent":96553,"Discuss":96554,"æŃ£åľ¨":96555,"apeake":96556,"ioned":96557,"-Nazi":96558,".cum":96559,"ĠKron":96560,"=$('#":96561,"/single":96562,"Ġerotisch":96563,"ĠVib":96564,"Ġratified":96565,"Ġconcerted":96566,"ĠREGARD":96567,"Ġdobr":96568,".DriverManager":96569,"'r":96570,"Portable":96571,"ĉsuite":96572,"Ġrelaciones":96573,"ĠDop":96574,"emploi":96575,"DOB":96576,"Ġcrumbs":96577,"Ġxls":96578,"_Application":96579,"(':',":96580,"Ġ------------------------------------------------------------------------Ċ":96581,"mse":96582,"Ġberk":96583,"ĠReturnValue":96584,"ĠBelly":96585,"Ġcamar":96586,"ĠPeek":96587,"elsing":96588,"Ġnotifies":96589,"ĠTristan":96590,"ĠGAR":96591,"emme":96592,"ĠElevated":96593,"_CSV":96594,"(chalk":96595,"Ġtwenties":96596,"ĠSearchResult":96597,"=search":96598,"ĠMixing":96599,"ýt":96600,"Ġrecruiter":96601,"ĠIDEOGRAPH":96602,"ĠAgo":96603,"(Operation":96604,"$values":96605,"Ġworldly":96606,"ĠRosenberg":96607,"ĠConfigureServices":96608,">*Ċ":96705,"Ġsnork":96706,"_opacity":96707,"ĠinitWithNibName":96708,"iado":96709,"AAC":96710,"Ġ]).":96711,";z":96712,"_paragraph":96713,"Ġnoses":96714,"stands":96715,"ifr":96716,"_mE":96717,"Iraq":96718,".Predicate":96719,"enaire":96720,"]]];Ċ":96721,"Ġunidad":96722,"Ġretirees":96723,"_hello":96724,"Ġmodele":96725,"ĠUITableViewController":96726,"fwrite":96727,"_numero":96728,"_visited":96729,"Ġrecebe":96730,"(Notification":96731,"Fantastic":96732,"_submenu":96733,"ĠPEM":96734,"ĠCupertino":96735,"approximately":96736,"classed":96737,".ReadString":96738,"Ġdomicile":96739,"_PW":96740,"Ġballpark":96741,"ĠKale":96742,"contra":96743,"_favorite":96744,"/of":96745,"Quite":96746,"ĠOTA":96747,"Ġaccelerometer":96748,"didn":96749,"|^":96750,"ĠRohingya":96751,"ivicrm":96752,"annabin":96753,"обÑĭÑĤи":96754,"orado":96755,"')+":96756,"Haunted":96757,",ID":96758,"(UIAlertAction":96759,"urv":96760,"_bel":96761,"ĠMexicans":96762,"/terms":96763,"ĠPainter":96764,"InputLabel":96765,"ĠVinci":96766,"ĠRosie":96767,"\\uc":96768,"":96929,"_gs":96930,"Ġcompil":96931,"nard":96932,"-exc":96933,"Ġrhyme":96934,"Ġbutto":96935,"says":96936,"antasy":96937,"ë¸":96938,"ĠcittÃł":96939,"Ġcheg":96940,"TimeString":96941,"Ġpositivity":96942,"ĠDabei":96943,"Ġwang":96944,"Ġescre":96945,"\"c":96946,"ĉvideo":96947,"ĠRanked":96948,".strings":96949,">>>(":96950,"ĠинÑĤеÑĢ":96951,"Ġresta":96952,"[:,:":96953,"Ġrendre":96954,"Ġdeser":96955,"Jos":96956,"Ġdisruptions":96957,"ĠопеÑĢ":96958,"sampling":96959,"suppress":96960,"ĠcontainerView":96961,"ĠSeamless":96962,"Ġairy":96963,"Ġonload":96964,".WindowManager":96965,"ĠPLA":96966,"braco":96967,".setPositiveButton":96968,"Ġpdu":96969,"Ġgsi":96970,"ĠCli":96971,"_gradients":96972,"Ñıд":96973,"ĠWhisper":96974,"cstdint":96975,"Ġläng":96976,"Ġformulations":96977,"énom":96978,"ournemouth":96979,"[$_":96980,"Ġordinarily":96981,".setUsername":96982,"Ġfaculties":96983,"MITTED":96984,"/values":96985,"Ġweir":96986,"ĠApt":96987,"MZ":96988,"ĉcf":96989,"ucken":96990,"ĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉĉ":96991,"defense":96992,"[iVar":96993,"ĠBusinessException":96994,"Selectors":96995,"(coordinates":96996,"ĠResets":96997,"ĠDrinks":96998,"oleans":96999,"(stypy":97000,"_IOC":97001,".xxx":97002,"ĠSlater":97003,"ĠBelize":97004,"Ġ/************************************************************************":97005,"addin":97006,"_episodes":97007,"Ġischem":97008,"legalArgumentException":97009,"Danny":97010,"Ġpared":97011,".codehaus":97012,"ĠAssy":97013,"ĉRect":97014,"âŀ":97015,".lista":97016,"ĠваÑĪ":97017,"Ġvets":97018,"HWND":97019,"isoner":97020,"Ġxo":97021,"Ġorally":97022,"ĠStmt":97023,".rnn":97024,"ĠDPI":97025,"ĠStrikes":97026,".setViewportView":97027,"ĠèĩªåĬ¨çĶŁæĪIJ":97028,"YELLOW":97029,"GLenum":97030,"partners":97031,"ĠImplicit":97032,"Ġtako":97033,"âĢĻelle":97034,"Ġermög":97035,"totalCount":97036,"Gil":97037,"ĉwork":97038,"Ġpratic":97039,"inati":97040,"abies":97041,"ĠSkinner":97042,"Ġspirited":97043,"Ġpancreatic":97044,"Ġhdf":97045,"'em":97046,"Ġpsychosis":97047,"olicit":97048,"Ġ\"{\"":97049,"_atual":97050,"Ġélect":97051,"TEAM":97052,"Ġdak":97053,"ĠSWAT":97054,".FragmentManager":97055,"Ġprovisioning":97056,"lifetime":97057,"_EXTENSIONS":97058,"ĠCASCADE":97059,"Ġ![":97060,"(KP":97061,"Ġvem":97062,"ĠInterracial":97063,"']},Ċ":97064,"spacer":97065,"_kv":97066,"Warehouse":97067,"RDD":97068,"_fsm":97069,".StretchImage":97070,",Yes":97071,"ĠRefugee":97072,"ĠBringing":97073,"Ġválido":97074,".intersection":97075,"Ġspooky":97076,"_portal":97077,"Ġmoth":97078,"ĠZodiac":97079,"ĠSOCIAL":97080,"MimeType":97081,"']}}":97200,"_Blue":97201,"Ġbotanical":97202,"Ġfrags":97203,"Ġfamilial":97204,"-du":97205,"Ġseizing":97206,"(blocks":97207,".rd":97208,".checkNotNull":97209,"Ġmiser":97210,"Ġmaxx":97211,"ĠKnee":97212,"ViewItem":97213,"InnerHTML":97214,"Danger":97215,"((__":97216,"Ġprzypad":97217,"createUrl":97218,"**,":97219,"ĠDecorating":97220,"ATEGY":97221,"?>/":97222,".Designer":97223,"hexdigest":97224,"ĠEverywhere":97225,"alleries":97226,".TEXTURE":97227,".Blocks":97228,"zell":97229,"Ġpreço":97230,"Suddenly":97231,"inputEmail":97232,"(sync":97233,".bd":97234,"golden":97235,">');":97236,"ĠDickinson":97237,">>(Ċ":97238,"ĠQUEUE":97239,"ĠgetColumn":97240,"ĠSAND":97241,".piece":97242,"licer":97243,"Flutter":97244,"ĠgetVersion":97245,"ĠresourceId":97246,"ogl":97247,"ÅĤaw":97248,".Branch":97249,"ĉweb":97250,"Ġframerate":97251,"PPP":97252,"Ġfray":97253,"CNT":97254,"Ġinformatie":97255,"']čĊčĊ":97256,"neas":97257,"HeaderCode":97258,"Ġæ¸":97259,"Ġtrg":97260,"rawtypes":97261,"Honda":97262,"Ġmarketer":97263,"ĠrequestData":97264,"ĠPg":97265,"ĉnot":97266,"ĠpageInfo":97267,"Ġaktuellen":97268,"ãģķãĤĵ":97269,"ĠAMS":97270,"pushViewController":97271,"ĉAL":97272,"Ġvests":97273,"produce":97274,"-même":97275,"ĠRahman":97276,"Funny":97277,"EZ":97278,"_Valid":97279,"Ġsquadron":97280,"Ġlash":97281,"Ġirm":97282,"iasco":97283,"ĠParan":97284,"Ġpetites":97285,"ĠDecay":97286,"Ġuninitialized":97287,"privileged":97288,"Ġmbedtls":97289,"å¤ĩ注":97290,"Ġ^.":97291,"Ġecstatic":97292,"Detroit":97293,"Ġparten":97294,"Ġsouvenir":97295,".getLogin":97296,"моÑĤÑĢ":97297,"enção":97298,"ĠmÃŃnimo":97299,"ĠAccessed":97300,"rió":97301,"Mic":97302,"ĠVocal":97303,".SetString":97304,"Ġmensajes":97305,"åĢį":97306,"Ġattravers":97307,"ĠAph":97308,"Ġ');čĊ":97309,"ünde":97310,"Ġenchanted":97311,"ĠRootState":97312,"ĠCLOSED":97313,"ĉĉĉĉĉĉĉĉčĊ":97314,"Ġcaliente":97315,"orris":97316,"Ġphysicists":97317,"hwnd":97318,"_vi":97319,"Ġrápido":97320,"Ġcapitalized":97321,"edBy":97322,"Ġmachining":97323,"Ġhubby":97324,"ĠStacy":97325,".Bus":97326,"drink":97327,"Hur":97328,"Ġpropia":97329,"UnitTest":97330,"Ġmisconception":97331,"__));Ċ":97332,"/dc":97333,"ĠMayweather":97334,"_mC":97335,".createFrom":97336,"ĠQPainter":97337,"ropsych":97338,"innitus":97339,"ayas":97340,"Ġgeg":97341,"(dw":97342,"Ġusado":97343,"Ġtrickle":97344,"Ġannihil":97345,"ĠPasta":97346,"Ġ++Ċ":97347,"(ExpectedConditions":97348,".postValue":97349,"icap":97350,"ĠDonetsk":97351,"_soup":97352,"-publish":97353,"ĠPb":97354,"mentions":97355,"ACCEPT":97356,".Pull":97357,",âĢĻâĢĻ":97358,"Ġretarded":97359,"_ATOM":97360,"ĠTerminator":97361,"-court":97362,"ĠCLLocationCoordinate":97363,"Ġreverence":97364,"ĠSSC":97365,"utely":97366,"ĠWON":97367,"ĠGSL":97368,"frei":97369,".getLongitude":97370,"ĠopenFileDialog":97371,".Butter":97372,"-important":97373,"_MANY":97374,"ĠGong":97375,"âĢľHow":97376,"Ġgorge":97377,"=msg":97378,"ĠEzek":97379,"createCommand":97380,":checked":97381,"Ġinfographic":97382,".WEST":97383,"Dirs":97384,"Ġguarda":97385,"Ġbeetle":97386,"Loading":97460,"_mA":97461,".getRandom":97462,"blings":97463,"Ġcheeses":97464,"tti":97465,".âĢ¢":97466,"ĠBurgess":97467,"enderit":97468,".',čĊ":97469,"(\"\"+":97470,"acb":97471,"%p":97472,"indexed":97473,"_predicate":97474,"nesia":97475,"Ġbied":97476,"ĠCIT":97477,"(Pos":97478,"_radi":97479,"ä»·æł¼":97480,"Biz":97481,"ĠAdolescent":97482,"Ġviên":97483,"cycl":97484,"_Cancel":97485,"Ġconclusive":97486,"Ġappellate":97487,"informatics":97488,"SJ":97489,"Ġelective":97490,"roleId":97491,"Fetcher":97492,"ĉCommand":97493,"(\"(%":97494,"Ġfart":97495,"ILA":97496,"getBlock":97497,"AUSE":97498,"Ġдан":97499,"ĠArte":97500,"Ġnotifying":97501,"Ġgele":97502,".same":97503,"ĠRegel":97504,"ĠBaÅŁ":97505,".creation":97506,"ĠVN":97507,"_community":97508,"Ġunsustainable":97509,"SEX":97510,"ĠgridSize":97511,"rescia":97512,"aversable":97513,"(',')[":97514,"ĠPhelps":97515,"á»ķi":97516,"ANCELED":97517,"-IS":97518,".runners":97519,"ĠStokes":97520,".Produ":97521,"Ġwhipping":97522,"_acquire":97523,"Ġinvestigación":97524,"fried":97525,".copyWith":97526,"ĠHardcover":97527,"-Se":97528,"áŀ¶áŀ":97529,"invitation":97530,"lesai":97531,"ĠDorm":97532,"ĠÑģпиÑģка":97533,"Ġconcatenated":97534,"ophil":97535,"Ġthinker":97536,"/fontawesome":97537,"ĠLeopard":97538,"Ġ\"/\");Ċ":97539,"Ġresiduals":97540,"ĠMicrowave":97541,"Ġconforme":97542,"throp":97543,"Ġdisemb":97544,"ĠOMG":97545,"ĠDiscipline":97546,"ĠAcrobat":97547,"/repository":97548,"dfa":97549,"_MED":97550,"bufio":97551,"Ġméthode":97552,"_HOLD":97553,"iasi":97554,"_legacy":97555,")ččĊ":97556,"æ£Ģ":97557,"GetProcAddress":97558,"Ġyay":97559,"otence":97560,"orderid":97561,"-tw":97562,"Ġdearly":97563,"Incoming":97564,"/il":97565,"Ġneurop":97566,"ucz":97567,");čččĊ":97568,"ĠInnovative":97569,"Ġprofund":97570,"igmat":97571,"SelectionMode":97572,"relevant":97573,".GO":97574,"Ġbruises":97575,"Ġsach":97576,"odef":97577,"Ġreimb":97578,"/desktop":97579,"-spot":97580,"undance":97581,"Entropy":97582,"\\core":97583,"Ġsuger":97584,"ĠMvc":97585,"ĠGNOME":97586,"_indx":97587,"ĠYYSTYPE":97588,"ĠMatlab":97589,"ĠCIF":97590,"Ġ*))":97591,"ĠproductList":97592,"ĠAlright":97593,"acemark":97594,"ÑĤив":97595,"modification":97596,"international":97597,"Ġhomers":97598,"Ġdicts":97599,"ĠQFont":97600,".SQLite":97601,"Ġtransplantation":97602,"ĠMessageBoxButton":97603,"ĠElves":97604,"']])Ċ":97605,"(QIcon":97606,"Ġcinemas":97607,"COORD":97608,"-China":97609,"Ġkhẩu":97610,"æĪijçļĦ":97611,"Ġskulls":97612,"Ġpainstaking":97613,"fce":97614,".XRLabel":97615,"Ġspecifier":97616,"Ġpreferring":97617,"/activity":97618,"(Photo":97619,"ált":97620,".lot":97621,"''.":97622,"annonce":97623,".googlecode":97624,"-pdf":97625,"ĠPoke":97626,"_ACL":97627,"Ġendowed":97628,"discover":97629,".omg":97630,"Ġwoodland":97631,".Magic":97632,"Ġvolont":97633,"NotAllowed":97634,"Ġchave":97635,"BMW":97636,"','=',":97637,"ĠSIX":97638,"æĪij们":97639,"Ġkosher":97640,"Ġaspiration":97641,"intl":97642,"_refptr":97643,"'+Ċ":97644,"mentor":97645,".club":97646,"WindowState":97647,".ARR":97648,"Ġzza":97649,"ĠmessageType":97650,".equ":97651,"Thor":97652,"Ġinjust":97653,"Ġgums":97654,"ĠborderSide":97655,"/////":97656,"ĠTransmit":97657,"Ġbufsize":97658,"Ġhak":97659,"Ġellas":97660,"RANDOM":97661,"ĉmc":97662,"Ġpea":97663,"eko":97664,"documento":97665,"Ġhysteria":97666,"Ġarenas":97667,"Ġgunmen":97668,"Ġmike":97669,"Ġimpunity":97670,"atisation":97671,"_Zero":97672,"_COMPANY":97673,"ĠGors":97674,"ĠuseClass":97675,"(redis":97676,"ĠRUNNING":97677,"ĠBair":97678,"velte":97679,"Ġ','.":97680,"аÑĤÑĮÑģÑı":97681,"öst":97682,"encodeURIComponent":97683,"_restrict":97684,"Ġdecals":97685,"ĠPedido":97686,"Ġaltercation":97687,"Displays":97688,"ĠApplicants":97689,"CUS":97690,"Textarea":97691,"ĠAngola":97692,".future":97693,"ĠUSHORT":97694,"Ġsuppressing":97695,"Ġsetzen":97696,"APolynomial":97697,"Ġtoch":97698,"Ġhallmark":97699,"Ġ$$$":97700,"ĠCHARSET":97701,".rpm":97702,"ĠDich":97703,"--------------------":97704,"_parm":97705,"è¿ĺ":97706,"acciones":97707,"hait":97708,"WARDED":97709,"_routing":97710,"ĠNOM":97711,"Ġenclave":97712,"ĠLotto":97713,"ĉfr":97714,"complexContent":97715,"ĠBallard":97716,"kube":97717,"/win":97718,".getColumnModel":97719,"_REPLACE":97720,"HeaderValue":97721,"Ġestudiantes":97722,"Ġapis":97723,"Ġbpm":97724,"ĠTypeName":97725,"AndGet":97726,"rita":97727,"Plans":97728,">Note":97729,"Ġfetisch":97730,"Ġtoned":97731,"_goto":97732,"onsense":97733,"Ġmolds":97734,"Ġinfiltration":97735,"ĠGuerrero":97736,"ubbo":97737,"cki":97738,"($(\".":97739,"_activities":97740,"(changes":97741,"ĠofApp":97742,"ĠKepler":97743,"ĠDemp":97744,"ĠContinent":97745,".Ticks":97746,"ĠUnsigned":97747,"ĠJahres":97748,"Ġfreshmen":97749,"ĠArchived":97750,"ĠкоÑĤоÑĢÑĭй":97751,"Ġ'::":97752,"Tutorial":97753,"Cc":97754,"ĠtableLayoutPanel":97755,"fromJson":97756,".levels":97757,"_transient":97758,"Ġendorsing":97759,"ĠDIC":97760,"lauf":97761,"Ġshred":97762,"_EMIT":97763,"ificantly":97764,"ALA":97765,"/proto":97766,"Ġnarrowing":97767,"Utc":97768,"Factors":97769,"Ġsentient":97770,"æŀIJ":97771,"lixir":97772,"ĠCROSS":97773,"meteor":97774,"Ġgroin":97775,"Ġmdb":97776,"ĠRotterdam":97777,"Ġcomida":97778,"ĠOpCode":97779,"ĠDefaultValue":97780,"PermissionsResult":97781,"Ġheterogeneous":97782,"Ġmoot":97783,"Ġdeceived":97784,"-independent":97785,"ĠObjectOutputStream":97786,"Ġoverpower":97787,".dup":97788,"Ġldb":97789,"Ġdomestically":97790,"Ġbestellen":97791,"Ġlov":97792,"ĠContractors":97793,"Triangles":97794,"Ġfodder":97795,"Ġfilmes":97796,"ä¼ģ":97797,"Ġrevolver":97798,"StartupScript":97799,"/validation":97800,"ĠResourceType":97801,"iÅŁ":97802,"ĠLaz":97803,"fef":97804,"Ġlstm":97805,"{*":97806,".attachment":97807,".hits":97808,"ewith":97809,"DOG":97810,"Alabama":97811,"Ġmediums":97812,".mContext":97813,"-cols":97814,"åıĭ":97815,".notice":97816,"Ġattn":97817,"ĠPacking":97818,"ĠLn":97819,"_COMPLEX":97820,"/Users":97821,".savetxt":97822,"ĠRounds":97823,"?,?,?,?,":97824,"Ġingl":97825,"ĠROC":97826,"_female":97827,"ĠStard":97828,"]];":97829,"Ġwrestlers":97830,"Ġtorrents":97831,"Ġsinh":97832,"ĊĊ":97833,"ë³µ":97834,"sense":97835,"however":97836,".Physics":97837,"Infrastructure":97838,"ĠSacr":97839,"Fel":97840,"ĠDISTRIBUT":97841,"éments":97842,"ĠValidates":97843,"############################################################":97844,"Ġ|/":97845,"Ġesl":97846,"Ġréseau":97847,"ĠBip":97848,"BYTES":97849,"_WATER":97850,"Turning":97851,"ELS":97852,"Ġjuxtap":97853,"Ġlesbische":97854,"ých":97855,"(Unknown":97856,"Neo":97857,"@JsonProperty":97858,"Ġalumnos":97859,"ĠRaqqa":97860,"imei":97861,".getBounds":97862,".MouseEventHandler":97863,"#######":97864,"GenericType":97865,"/cms":97866,"Ġturno":97867,"Ġмин":97868,"Ġfolklore":97869,"ĠEvo":97870,"Ġconductivity":97871,"Ġleben":97872,"Ġgearbox":97873,"-vs":97874,"ĠÏĨ":97875,"Ġdrinkers":97876,"Ġconexao":97877,"ĠTeeth":97878,"ĠgetArguments":97879,"ĠRAT":97880,"entious":97881,"Educ":97882,"+W":97883,"ĠInstitutional":97884,"ĠBord":97885,"isEqual":97886,"(pwd":97887,"Ġignited":97888,"ĠRousse":97889,"Ġimpactful":97890,"ĠMalk":97891,"Ġgeral":97892,"ĠPivot":97893,"Ġazt":97894,"Ġcsvfile":97895,"ĠRope":97896,"ĠSOLUTION":97897,"ĠArbitrary":97898,"Ġletto":97899,".MouseAdapter":97900,"Ġ}}}":97901,"ĠSailor":97902,"dera":97903,"Putting":97904,"Ġconcentrates":97905,"ĠauthDomain":97906,"âĢĿçļĦ":97907,"-finals":97908,",strlen":97909,"Muon":97910,"ĠOrdinary":97911,"firefox":97912,"ĠLaTeX":97913,"ĠHund":97914,"engineering":97915,"/blue":97916,"edTextBox":97917,"(\"\");":97918,"ĠCDDL":97919,"kept":97920,"ĠGetString":97921,"Kir":97922,"()='":97923,"ĠOCD":97924,"antium":97925,"$menu":97926,"ĠAppalachian":97927,"Secretary":97928,"ë¥ĺ":97929,"ีย":97930,"Semantic":97931,"Ġ*[":97932,"estone":97933,"ungkin":97934,"MaxY":97935,"-tone":97936,"\"};čĊ":97937,"_Part":97938,"ĊĊ":98140,"Lic":98141,"ĠMirage":98142,"ĠAssemblyFileVersion":98143,"TeV":98144,"ĠValueEventListener":98145,"-solving":98146,"Tho":98147,"roulette":98148,"_WP":98149,"Ġuninterrupted":98150,"ĠfieldType":98151,".Typed":98152,"Ġamour":98153,"Ġmockery":98154,"(vol":98155,"ĠSubcommittee":98156,"ĠRuf":98157,"erox":98158,":UIButtonTypeCustom":98159,"ĠBlur":98160,"Ġwykon":98161,"nces":98162,"ASHBOARD":98163,"!!\");Ċ":98164,"Ġmurderers":98165,".daily":98166,"ĠDIAG":98167,"jing":98168,"Ġdolphin":98169,"Ġlòng":98170,"Ġbö":98171,"ĠVocabulary":98172,".StObject":98173,"')\">":98174,"Ġzun":98175,"Ġscrimmage":98176,"tréal":98177,"ĠLig":98178,"[vi":98179,"Cole":98180,"Ġfrosting":98181,".Players":98182,"-translate":98183,"Feels":98184,"=\\\"/":98185,".ButterKnife":98186,"Ġ?>;Ċ":98187,"Ġavi":98188,"innie":98189,".Failure":98190,"Ġspindle":98191,"ConfigurationException":98192,"_hop":98193,"Ġposição":98194,"ĠAwait":98195,"UIImagePickerController":98196,"ĉday":98197,"Ġgenom":98198,"Cab":98199,"ĠÑĢезÑĥлÑĮÑĤаÑĤ":98200,"ORIGINAL":98201,"Ġejaculation":98202,"(tcp":98203,"SECOND":98204,"Ġtonic":98205,"ĠListBox":98206,"ĠĉĉĊ":98207,"()>Ċ":98208,"Ġquatre":98209,"ượng":98210,"withErrors":98211,".Maybe":98212,",âĢ¦":98213,"tokenId":98214,"_UNDEF":98215,"Ġfreshness":98216,"ĠAmendments":98217,".mapbox":98218,".CV":98219,"(blog":98220,"_gettime":98221,".quest":98222,"sparse":98223,"Ġresale":98224,"Ġenthusiastically":98225,"ĠProstitutas":98226,"Wa":98227,"Cargo":98228,".Parcelable":98229,"SENSOR":98230,"ĠRyu":98231,"Laughs":98232,"_Native":98233,"/pg":98234,"ysts":98235,"Ġphotoc":98236,"ç®Ģ":98237,"adopt":98238,".species":98239,"conciliation":98240,"Adjusted":98241,".FirebaseAuth":98242,"uttle":98243,"ordination":98244,"Ġmunch":98245,"ĠStake":98246,".ping":98247,"anker":98248,"(QStringLiteral":98249,"Ġsubscript":98250,"ĠĠĉĊ":98251,"ĠMCC":98252,"_Cmd":98253,"sexy":98254,"iou":98255,"ĠMANY":98256,"Ġnanny":98257,"TRAIN":98258,"Ġflourishing":98259,"ĠWatches":98260,"ĠQMap":98261,"ĠFerm":98262,"Ġwasm":98263,"ĠAbed":98264,"_UD":98265,"ĠGlasses":98266,"+v":98267,"Attend":98268,".Chain":98269,"Ġdecency":98270,"ĠSupplementary":98271,"hunter":98272,"-txt":98273,"Ġ\"}\";Ċ":98274,".setWindowTitle":98275,"(\"":98377,"Ġmascara":98378,"(Profile":98379,"åĬŁèĥ½":98380,"imité":98381,"Ġwildfires":98382,"-ROM":98383,".isOn":98384,"(groupId":98385,"Repair":98386,"accumulate":98387,"Ġ<\",":98388,"Ġhandwritten":98389,"Ġacheter":98390,"ĠMGM":98391,"ĠIrma":98392,"->{_":98393,"gee":98394,"criminal":98395,"Ġèĭ¥è¦ģ":98396,"Ġmomentarily":98397,"\")!=":98398,"_lit":98399,"ĠexpiresIn":98400,".\").":98401,"éķ¿åº¦":98402,"Ġfrække":98403,"vlc":98404,"Ġorbs":98405,"),$":98406,"Ġventured":98407,"/>\\":98408,"charm":98409,"Nuitka":98410,"eldig":98411,"atonin":98412,"Witness":98413,"-lat":98414,"ĠsetHidden":98415,"Ġrelics":98416,"Ġconsulate":98417,".IGNORE":98418,"\"After":98419,"ĠsetAddress":98420,"Ġbesteht":98421,"Ġ'')ĊĊ":98422,".xaxis":98423,"Ġserão":98424,"Ġmisled":98425,"_UNIFORM":98426,"ĠVIA":98427,"incr":98428,"Ġzenith":98429,"Ġviscosity":98430,"Ġthinly":98431,".getSharedPreferences":98432,".ErrorCode":98433,"\"),\"":98434,"ĠMillionen":98435,"Ġ/>)Ċ":98436,"ScrollIndicator":98437,"-seeking":98438,"ĠPOLITICO":98439,"asca":98440,"_rl":98441,"Navig":98442,"(fullfile":98443,"Ġsolitude":98444,"Ġjuven":98445,"Ġhauling":98446,"ĠMacros":98447,"ĠGry":98448,"Ġexercitation":98449,"ĠATTACK":98450,"TickCount":98451,"Ġrites":98452,"Ġdoe":98453,"ParticleSystem":98454,"Ġslu":98455,"WindowText":98456,"ĠClassName":98457,"Ġslander":98458,"ĉPort":98459,"jong":98460,"?a":98461,".Dial":98462,"âĢĶat":98463,"$objPHPExcel":98464,"Ġsoar":98465,"ENN":98466,"appeared":98467,"Ġquotid":98468,"emachine":98469,"Ġnip":98470,"Ġmicrotime":98471,"ĠAlma":98472,";!":98473,"------------------------------------------------------------------------------------------------":98474,"ĠPassage":98475,"Ġdumpsters":98476,"ĠExclude":98477,"Ġsuggestive":98478,"ĠCircularProgressIndicator":98479,"_clr":98480,"ArrayType":98481,"ILLA":98482,"ElapsedTime":98483,"Driven":98484,"ĠresourceName":98485,"ĠGarrison":98486,"serir":98487,"-ahead":98488,"Ġpinnacle":98489,"ĠEspresso":98490,"Sparse":98491,"Ġassays":98492,"ĠGirlfriend":98493,"imid":98494,"]='\\":98495,"ONGLONG":98496,"Ġportraying":98497,"Lane":98498,"Ġbúsqueda":98499,"Ġreinforcements":98500,"ĠSpreadsheet":98501,"ĠArrayCollection":98502,",arr":98503,"lightbox":98504,"icana":98505,"<\"":98506,"builders":98507,"Kid":98508,"ĠMatSnackBar":98509,"EXPR":98510,"odcast":98511,"ĠFoundations":98512,"Ġinds":98513,"='${":98514,"Fizz":98515,"-functional":98516,"(workspace":98517,"Ġstemmed":98518,"_patches":98519,"ĠJarvis":98520,"READING":98521,"Ġdisrespectful":98522,"ĠQDom":98523,"Ġ${Ċ":98524,"estatus":98525,"Reached":98526,"!.ĊĊ":98527,"ILT":98528,"ĠNDEBUG":98529,"ĠCourage":98530,"birthdate":98531,"ĠTing":98532,"Ġutilizado":98533,"ánchez":98534,"Outdoor":98535,"Ġhandguns":98536,"RefCount":98537,"ÉĻ":98538,"romo":98539,"Ġtts":98540,".She":98541,"ĠPane":98542,"ãĢij,ãĢIJ":98543,"ĠIOCTL":98544,"/black":98545,"inscription":98546,"Ġbiopsy":98547,"ĠTimeInterval":98548,".TestCheck":98549,"ĠGUIStyle":98550,"ĠCapability":98551,"ĠBeitrag":98552,"donnees":98553,"Treatment":98554,".backup":98555,"Ġsignings":98556,"ĠBoca":98557,"drm":98558,".MAIN":98559,"Ġgoede":98560,"ĠMarkup":98561,"GREE":98562,"ĠBaseService":98563,".Creator":98564,"Ġjails":98565,"ĠKahn":98566,"IpAddress":98567,"ACHI":98568,"Ġinhibited":98569,"Ġ@$_":98570,"ĠAssass":98571,"Ġenviado":98572,"Heroes":98573,"ÐŁÐµÑĢ":98574,"ĠMaven":98575,".ls":98576,"Ġive":98577,"|RF":98578,"ĠresizeMode":98579,"Ġrumpe":98580,"_attachments":98581,"TU":98582,"Ġtactile":98583,"Attempting":98584,"Ġrobin":98585,"yaw":98586,"Ġmercenaries":98587,"ĠHabitat":98588,"enddate":98589,"Ġoxy":98590,"ĉRandom":98591,"ohon":98592,"IsNull":98593,"ĠValidationResult":98594,"ãĥļ":98595,"umbed":98596,"ppv":98597,"Ġarp":98598,"ichick":98599,"_rnn":98600,"ĠTFT":98601,"TexImage":98602,"\"On":98603,"ĠSampler":98604,"topl":98605,"Ġjane":98606,"yling":98607,"ĠUNICODE":98608,"TabIndex":98609,"<{Ċ":98610,"suspend":98611,"uvian":98612,",application":98613,"олиÑĩеÑģÑĤво":98614,"yat":98615,"ezier":98616,"ĠCHUNK":98617,"ĠAdler":98618,"/Add":98619,"ĠKeyValue":98620,"Ġsposób":98621,"Sampling":98622,"chers":98623,"_AMD":98624,"Ru":98625,".MustCompile":98626,"Nation":98627,"Assoc":98628,"Managing":98629,"ĠEngl":98630,"_GB":98631,"Ġsuccinct":98632,"Ġdisliked":98633,"ĠIke":98634,"Bulletin":98635,"_ARCHIVE":98636,"Proposal":98637,"Ġjogging":98638,".CREATED":98639,"Ġchol":98640,"è£ħ":98641,"Į¨":98642,"-push":98643,"Ġreserva":98644,"corev":98645,"ètre":98646,"THR":98647,"Ġincompetence":98648,"Ġcharisma":98649,"æĦŁ":98650,"Ġ\"==":98651,"BTN":98652,"ĠLocator":98653,"ivet":98654,"('.')Ċ":98655,"ĠforIndexPath":98656,"ôme":98657,"Ġcapacit":98658,"waters":98659,"ĠWRONG":98660,"hoa":98661,"ĠMIPS":98662,"Ġemiss":98663,"ĠJacqueline":98664,"(cmp":98665,"Ġeens":98666,"Leo":98667,".timing":98668,"CLUSION":98669,"Ġ(\"-":98670,"åĵĪ":98671,".kode":98672,"ĠUndert":98673,"Ġbewild":98674,"ĠEssen":98675,".hd":98676,"Ġrenegot":98677,"Ġmower":98678,"Ġlsp":98679,"Ġpenchant":98680,"Ġmanoe":98681,"Ġagli":98682,"Ġrecal":98683,"ĠOPERATION":98684,"(^)(":98685,"Ġν":98686,"ĠScoped":98687,"Ġ@\"Ċ":98688,"=label":98689,"[loc":98690,"Intl":98691,"ĠNz":98692,"tablet":98693,".ColumnName":98694,"ĠscreenSize":98695,"DBus":98696,"cooked":98697,"-registration":98698,"âĢľOne":98699,"-non":98700,"ĠwiÄĻc":98701,"Ġcosta":98702,".addTab":98703,".conditions":98704,"ĠHess":98705,"MEMORY":98706,"ĠAvalanche":98707,"()}}Ċ":98708,"Ġtriplet":98709,"Ġlabyrinth":98710,"ĠNodeList":98711,"ĠNYT":98712,"Ġyeni":98713,"dff":98714,".HtmlControls":98715,"AVIS":98716,"/Math":98717,"Ġmemcmp":98718,"اء":98719,"оÑģÑĮ":98720,"crap":98721,"(pages":98722,"Ġlxml":98723,"ĠQDateTime":98724,"_tcb":98725,"Ġopenid":98726,"Ġsynaptic":98727,"ĠMDMA":98728,"(slug":98729,"igmatic":98730,"enor":98731,"Ġcramped":98732,"GOP":98733,"ŃIJ":98734,".isFile":98735,"ĠDifferential":98736,"Ġ=\"\";Ċ":98737,"ĉĉĉĠĠĠĠĉ":98738,"ĠCooke":98739,"ĉUFUNCTION":98740,"Ġperseverance":98741,"RelativeLayout":98742,"IMPORTANT":98743,"Ġexon":98744,"Ġон":98745,"ibase":98746,"(CONT":98747,"novation":98748,"ä½ķ":98749,"[sub":98750,"AdminController":98751,"HTTPHeader":98752,"crear":98753,"ĠNIR":98754,"ĠDropDownList":98755,"Ġvalide":98756,"Ġdehydration":98757,".']":98758,"(WIN":98759,"Ġ...\\":98760,"Ġphotoshop":98761,"ĉInit":98762,"_cou":98763,"ĠtimeZone":98764,"darwin":98765,"romatic":98766,"NavigationItemSelectedListener":98767,"brates":98768,"]--;Ċ":98769,"Ġtragedies":98770,"ĠPediatrics":98771,"SMART":98772,"-API":98773,"ĠMessageLookup":98774,"ĉvo":98775,"Ġprejudices":98776,"ĠmA":98777,"Ups":98778,"ĠMISSING":98779,"ĉad":98780,"Cream":98781,"ĠTb":98782,"ĠMona":98783,"_ghost":98784,"ĉtypes":98785,"Emb":98786,"ĠDocumentary":98787,"');ĊĊĊĊ":98788,"Ġlup":98789,"_Reference":98790,"ĠBATCH":98791,"Ġintertwined":98792,"":98915,"Ġfoyer":98916,"'utilisation":98917,"ĠMüller":98918,"ĠFetish":98919,"ĠdefaultManager":98920,"Ġbacktrack":98921,"Bah":98922,"Explicit":98923,"_ASCII":98924,"ĠmActivity":98925,"(Msg":98926,"Ġê²Į":98927,"ĠTERMS":98928,"ĠAngie":98929,"HSV":98930,"ĠMosque":98931,".Names":98932,"íĬ¼":98933,"reste":98934,"_parms":98935,"Ġgaping":98936,"Ġcropping":98937,"DataFrame":98938,"Ġresponsiveness":98939,"_undo":98940,"_tran":98941,".terminate":98942,"Ġitaliane":98943,"Ġwalkthrough":98944,"Ġattractiveness":98945,"де":98946,"_STS":98947,"_learn":98948,"Ġchocolates":98949,"ierarchical":98950,"-thinking":98951,"Ġ)))":98952,"ishments":98953,".Logf":98954,"ĠTMZ":98955,"ĠCanary":98956,"foil":98957,"ĠVaccine":98958,".vx":98959,"ĠSurround":98960,"Intermediate":98961,"Ġiov":98962,"vais":98963,"';\";Ċ":98964,"ï½ŀĊĊ":98965,"éĢģæĸĻ":98966,"âĢ¦it":98967,"Seats":98968,"Clar":98969,"Wars":98970,"ĠHutchinson":98971,"ĠHasan":98972,"!')ĊĊ":98973,"ĠRichie":98974,"cheiden":98975,"($('":98976,"York":98977,"Ġlids":98978,"Ġalphanumeric":98979,"ĠGlock":98980,".shapes":98981,"Ġsparking":98982,"_epsilon":98983,"uplicated":98984,".dirty":98985,"])==":98986,"ĠìľĦì¹ĺ":98987,"Ġscn":98988,"Ġ/****************************************************************":98989,"_PREVIEW":98990,"_HC":98991,"ielding":98992,"fgets":98993,"ĠAddison":98994,"ĠproductService":98995,"-figure":98996,"(retval":98997,"zano":98998,"Ġautob":98999,"ĉsd":99000,"_numer":99001,"ĠSetLastError":99002,"ĠFior":99003,"ificance":99004,"Untitled":99005,"Ġinfield":99006,"Ġ{}));Ċ":99007,"Ġspac":99008,"Ġrookies":99009,"(describing":99010,"ngen":99011,"ிà®":99012,".rdf":99013,".Mutex":99014,"Ġkneeling":99015,"ĠQE":99016,"setMax":99017,"ReadStream":99018,"Ġventas":99019,"sut":99020,"cmpeq":99021,".WriteAllText":99022,"ĠExperienced":99023,"$__":99024,"Ġkaum":99025,"ĠLIS":99026,"Ġdocumentos":99027,"_HEALTH":99028,"icontains":99029,"Ġartisans":99030,"OWNER":99031,"Ġblinked":99032,"getDisplay":99033,"Ġtoen":99034,"ĠrowNum":99035,"Ġavril":99036,"Ġinvis":99037,"ĠKear":99038,"toBeInTheDocument":99039,"apur":99040,"Ġracked":99041,"ĠMcMaster":99042,"_ATTRIB":99043,"Haz":99044,"Ġfactura":99045,"/ts":99046,"ĠÑĢазмеÑĢ":99047,"Ġzf":99048,"Ġshortfall":99049,".fasta":99050,"ĠCONSTANT":99051,".managed":99052,"gems":99053,"SharedPointer":99054,"Ġblurry":99055,"brightness":99056,"(components":99057,"Ġ...\"ĊĊ":99058,"SELL":99059,"ĠIllustrator":99060,".getChannel":99061,"Ġtrouvé":99062,"ysters":99063,"Ġvois":99064,"ĠLinden":99065,"Ġemojis":99066,"Ġbrawl":99067,"ĠMSR":99068,"ĠElo":99069,"ĠCroatian":99070,"PopupMenu":99071,"Lewis":99072,".JWT":99073,"Ġastonished":99074,"Bush":99075,"(itemId":99076,"Ġdetachment":99077,"ĠEncore":99078,"å°Ķ":99079,"Ġrekl":99080,"Ġcram":99081,")$/":99082,".getHost":99083,"_recommend":99084,"-HT":99085,"_calibration":99086,"Authenticate":99087,".firebaseapp":99088,"UNIX":99089,"ĉCamera":99090,"ĠHEAP":99091,"Ideal":99092,".office":99093,"Ġgoofy":99094,"(Symbol":99095,"Ġjouer":99096,"_partitions":99097,"Ġrapidement":99098,"ĠGNUNET":99099,"idUser":99100,"Ġsupervise":99101,"(Contact":99102,"AWN":99103,"ãģĺ":99104,"Ġnaam":99105,"Ġaust":99106,"åľ¨çº¿":99107,"_softmax":99108,"AllowAnonymous":99109,"ammable":99110,"ROUTE":99111,"*D":99112,"Ġaden":99113,"ĠCristina":99114,"ĠCristiano":99115,"Ġbloodstream":99116,"subclass":99117,"_persona":99118,"CHILD":99119,"-know":99120,"ĠnavigationOptions":99121,"ĠZukunft":99122,"ĠPixar":99123,"Tyler":99124,"Ġunderworld":99125,"Ġsincerity":99126,"Ġdispenser":99127,"Ġkter":99128,"idders":99129,".addNode":99130,"-checked":99131,"Ġkeyst":99132,"ĠWTO":99133,".signals":99134,"Ġadventurer":99135,"ĠPang":99136,"\\R":99137,"=pos":99138,"Ġdispensaries":99139,"ĠCloset":99140,"(\"{\\\"":99141,"ideon":99142,"Ġnécessaire":99143,"()\"Ċ":99144,"_RECEIVED":99145,"Ġrésultats":99146,"Ġmoden":99147,"ĠIcelandic":99148,";d":99149,".allowed":99150,"(newUser":99151,"Ġmerciless":99152,".WaitFor":99153,"Ġdaycare":99154,"ĠConveyor":99155,"çĸ":99156,"ð¬":99157,"çĥ":99158,"çĹ":99159,"çł":99160,"èĦ":99161,"é²":99162,"å¦":99163,"çĿĢ":99164,"å¾Ī":99165,"éħ":99166,"çĭ":99167,"éª":99168,"æĤ":99169,"é¥":99170,"èħ":99171,"æĥ³":99172,"å¨":99173,"é¹":99174,"çĤ":99175,"åĴ":99176,"çĮ":99177,"è´¨":99178,"æ¢":99179,"æ°Ķ":99180,"ð«":99181,"æķĻ":99182,"çŁ":99183,"åĦ":99184,"åıijå±ķ":99185,"åĪĽ":99186,"èij":99187,"æħ":99188,"åŀ":99189,"åģļ":99190,"æĪĺ":99191,"æIJ":99192,"强":99193,"æ·±":99194,"åĩł":99195,"ç¿":99196,"å©":99197,"èŀ":99198,"å§Ķ":99199,"åIJĦ":99200,"èİ":99201,"é¸":99202,"éº":99203,"åıĹ":99204,"èģĮ":99205,"åĺ":99206,"æ½":99207,"é£İ":99208,"èIJ¥":99209,"åħļ":99210,"èľ":99211,"éĤ£":99212,"é¢Ĩ":99213,"çij":99214,"é³":99215,"æľ¯":99216,"ä»Ģ":99217,"æĪ¿":99218,"ç²¾":99219,"åª":99220,"éĨ":99221,"太":99222,"èĤ¡":99223,"èĽ":99224,"åħī":99225,"æŀģ":99226,"åĬŀ":99227,"èĵ":99228,"çĺ":99229,"å´":99230,"åĹ":99231,"èĬ±":99232,"çłĶ":99233,"å¿«":99234,"å¸Ī":99235,"è¶Ĭ":99236,"è§Ĥ":99237,"æ¤":99238,"æ¦":99239,"çŀ":99240,"èĤ²":99241,"çĪ±":99242,"çĻ½":99243,"ä¸ĸ":99244,"ä»Ģä¹Ī":99245,"çľ¼":99246,"å³":99247,"èĴ":99248,"æĵ":99249,"被":99250,"å¹²":99251,"çĹħ":99252,"士":99253,"çĴ":99254,"è¸":99255,"æ¾":99256,"å·¥ä½ľ":99257,"让":99258,"çĥŃ":99259,"è¾ĥ":99260,"åĦ¿":99261,"åĬ©":99262,"积":99263,"ç³":99264,"çĵ":99265,"ç£":99266,"åĤ":99267,"è¹":99268,"èļ":99269,"å·±":99270,"çĻ¾":99271,"åĬ¿":99272,"èµĽ":99273,"æ¨":99274,"æ¿":99275,"èĸ":99276,"æĿij":99277,"带":99278,"å¢ĥ":99279,"æĬ¤":99280,"éŃ":99281,"å«":99282,"èĩªå·±":99283,"æµİ":99284,"ä½İ":99285,"åĮ»":99286,"éĺ²":99287,"åĨľ":99288,"èĨ":99289,"çĨ":99290,"é«":99291,"åĨĽ":99292,"æĪı":99293,"åįĩ":99294,"æĸ¯":99295,"ä½ı":99296,"èIJ½":99297,"åħ»":99298,"èĩ´":99299,"çĬ":99300,"çĩ":99301,"çħ":99302,"èĶ":99303,"ä¼ģä¸ļ":99304,"åĽ¢":99305,"æīį":99306,"æł¡":99307,"åĩĨ":99308,"å¥ĩ":99309,"åī¯":99310,"é¼":99311,"æ¼Ķ":99312,"马":99313,"èµ°":99314,"ç¥ŀ":99315,"åħĭ":99316,"æľĽ":99317,"æ²¹":99318,"è¾¹":99319,"åįĥ":99320,"å¾Ģ":99321,"åĪĩ":99322,"æ©":99323,"ç¶":99324,"åĻ":99325,"éĻħ":99326,"çīĮ":99327,"社ä¼ļ":99328,"游æĪı":99329,"æĸ½":99330,"çħ§":99331,"æݧ":99332,"满":99333,"è¯Ĩ":99334,"éĩįè¦ģ":99335,"足":99336,"çķĻ":99337,"ç»Ĩ":99338,"åįı":99339,"éĢĤ":99340,"æĩ":99341,"æ§":99342,"éĦ":99343,"èĿ":99344,"å¸Ĥåľº":99345,"ç»ıæµİ":99346,"ä¹ł":99347,"æĸĩåĮĸ":99348,"éļ¾":99349,"ä¹IJ":99350,"åĨ³":99351,"欢":99352,"è§ī":99353,"åĽŃ":99354,"åħ´":99355,"åħħ":99356,"举":99357,"æī¹":99358,"èķ":99359,"æĬĬ":99360,"æĬĢæľ¯":99361,"究":99362,"第ä¸Ģ":99363,"便":99364,"åĵį":99365,"çİ©":99366,"åĿļ":99367,"èŀį":99368,"åįĬ":99369,"åĸľ":99370,"å±Ĥ":99371,"离":99372,"ä»ħ":99373,"éŁ":99374,"åij³":99375,"念":99376,"åŃ£":99377,"ç´§":99378,"ä¹ħ":99379,"é¤":99380,"éŀ":99381,"è¤":99382,"åĢĻ":99383,"åĨµ":99384,"çŁ³":99385,"åģ¥":99386,"æĢİ":99387,"å®Ŀ":99388,"è¡Ģ":99389,"åŁŁ":99390,"æĹ©":99391,"çŁ¥éģĵ":99392,"è´Ł":99393,"åįļ":99394,"å·´":99395,"亲":99396,"å±ŀ":99397,"严":99398,"äºī":99399,"å¯Ł":99400,"èº":99401,"ç°":99402,"建设":99403,"产ä¸ļ":99404,"åIJĥ":99405,"åŃ©":99406,"æĹħ":99407,"æł¹":99408,"æĿIJ":99409,"ä¼Ĺ":99410,"éļı":99411,"å®ĺ":99412,"åºķ":99413,"彩":99414,"å¯Į":99415,"温":99416,"åį«":99417,"åī§":99418,"çĽĬ":99419,"æĬĹ":99420,"è´¢":99421,"纪":99422,"æĨ":99423,"çĶŁæ´»":99424,"红":99425,"çĶŁäº§":99426,"è¿ľ":99427,"éĴ±":99428,"åĶ®":99429,"群":99430,"çıŃ":99431,"楼":99432,"éĩĩ":99433,"èīº":99434,"å±ħ":99435,"åģĩ":99436,"è°Ī":99437,"æĻļ":99438,"é¬":99439,"èĪª":99440,"害":99441,"èĹ":99442,"çį":99443,"åµ":99444,"çİĭ":99445,"康":99446,"èİ·":99447,"ç»Ń":99448,"äºļ":99449,"é£Ł":99450,"åİĭ":99451,"æĭĽ":99452,"èĮĥ":99453,"许":99454,"åĽ´":99455,"é½":99456,"éĻį":99457,"纳":99458,"åĵª":99459,"æķĻèĤ²":99460,"å·²ç»ı":99461,"å¾·":99462,"æŀĹ":99463,"å®īåħ¨":99464,"é¾Ļ":99465,"大家":99466,"éĿĴ":99467,"åºľ":99468,"æ²³":99469,"åı¤":99470,"èį¯":99471,"åĿĩ":99472,"æĻº":99473,"乡":99474,"çķ¥":99475,"åĨ·":99476,"ç¦ı":99477,"室":99478,"ç»´":99479,"æī¿":99480,"å±Ĭ":99481,"è¯ī":99482,"åĪ»":99483,"èŁ":99484,"æª":99485,"å°±æĺ¯":99486,"è¿Ļ个":99487,"ä¸Ńå¿ĥ":99488,"ä¸ĸçķĮ":99489,"åŁİå¸Ĥ":99490,"éĿŀ常":99491,"åĪĴ":99492,"åıĮ":99493,"æĢİä¹Ī":99494,"åĪ°äºĨ":99495,"æľĥ":99496,"åı²":99497,"ä¾Ĩ":99498,"å¾ĭ":99499,"å¥ĸ":99500,"ç»Ī":99501,"åªĴ":99502,"å®ģ":99503,"课":99504,"èģĮä¸ļ":99505,"åħį":99506,"æµĭ":99507,"æĢ¥":99508,"æķij":99509,"çĭ¬":99510,"èѦ":99511,"é¤IJ":99512,"æĦ¿":99513,"è´«":99514,"çĸij":99515,"åļ":99516,"她":99517,"åıĪ":99518,"åĽłä¸º":99519,"ä¸įæĺ¯":99520,"å¤Ł":99521,"æĸ¹éĿ¢":99522,"éķĩ":99523,"äºĴ":99524,"éħĴ":99525,"讲":99526,"çĸĹ":99527,"æĺ¥":99528,"æ¹ĸ":99529,"å¤ľ":99530,"责任":99531,"人æ°ij":99532,"åħ°":99533,"çŁŃ":99534,"æķħ":99535,"åĩı":99536,"æĻ®":99537,"亮":99538,"ä¾Ŀ":99539,"åį°":99540,"éĿĻ":99541,"åĢĭ":99542,"å¾ģ":99543,"åIJ¸":99544,"缺":99545,"æĶ»":99546,"åĩĢ":99547,"åħ¸":99548,"åĽº":99549,"访":99550,"ç¹":99551,"çĢ":99552,"æıIJä¾Ľ":99553,"ç»ĩ":99554,"å¾Īå¤ļ":99555,"çłĶ究":99556,"è·Ł":99557,"主è¦ģ":99558,"æĥħåĨµ":99559,"çŃĸ":99560,"æŃ»":99561,"大åѦ":99562,"æĶ¿åºľ":99563,"å½±åĵį":99564,"ä¹°":99565,"åħŃ":99566,"éĻ©":99567,"åħ«":99568,"æŁIJ":99569,"è´¨éĩı":99570,"åįł":99571,"å·®":99572,"æĽ´å¤ļ":99573,"æľĭ":99574,"éĿ©":99575,"宣":99576,"çł´":99577,"è½»":99578,"座":99579,"æĺ¾":99580,"稳":99581,"è´µ":99582,"èĥĮ":99583,"èī¯":99584,"çĸ«":99585,"æ¯Ĵ":99586,"ä¹İ":99587,"åĢŁ":99588,"è¿·":99589,"çŃĶ":99590,"æ¿Ģ":99591,"åij¼":99592,"äºĨä¸Ģ":99593,"趣":99594,"ä¼´":99595,"ä¼Ļ":99596,"è¼":99597,"ð¬Ń":99598,"åĽ½å®¶":99599,"æ´»åĬ¨":99600,"çİ°åľ¨":99601,"ç§ijæĬĢ":99602,"åį¡":99603,"ä¸įåIJĮ":99604,"个人":99605,"è®°èĢħ":99606,"ä¸įæĸŃ":99607,"éĹ»":99608,"ä¹Ŀ":99609,"èijĹ":99610,"综":99611,"ä¸ĥ":99612,"æłij":99613,"æľĭåıĭ":99614,"åįĸ":99615,"伤":99616,"æ²Ļ":99617,"åĸĦ":99618,"å¥Ĺ":99619,"è½®":99620,"ç©¿":99621,"è¡¥":99622,"ä¸Ģå®ļ":99623,"çªģ":99624,"çĿ£":99625,"追":99626,"å¨ģ":99627,"åı¦":99628,"åĽ°":99629,"æŀ¶":99630,"ç»Ŀ":99631,"æķ£":99632,"æİ¢":99633,"æ´Ĺ":99634,"临":99635,"ä¼¼":99636,"è´¸":99637,"丰":99638,"æĺ¯ä¸Ģ":99639,"ç«ŀ":99640,"è¿İ":99641,"èģļ":99642,"è«":99643,"æįŁ":99644,"æī§":99645,"驾":99646,"è¿Ŀ":99647,"è¥":99648,"èł":99649,"ä»ĸ们":99650,"æŶåĢĻ":99651,"å®ĥ":99652,"人åijĺ":99653,"è¿Ļæł·":99654,"å·¥ç¨ĭ":99655,"åĪĽæĸ°":99656,"åŃ©åŃIJ":99657,"å¸Į":99658,"éĥ¨åĪĨ":99659,"éĵ¶":99660,"代表":99661,"é¦Ļ":99662,"帮":99663,"æİ¨è¿Ľ":99664,"çĽĺ":99665,"积æŀģ":99666,"éĥ¨éŨ":99667,"åŁ¹":99668,"æѦ":99669,"ä¸įä¼ļ":99670,"çŃij":99671,"éĢĻ":99672,"çݩ家":99673,"æĭ¿":99674,"åİĤ":99675,"æ¯Ľ":99676,"çģµ":99677,"æŃĮ":99678,"绿":99679,"å¦Ī":99680,"缼":99681,"é¦Ĩ":99682,"顺":99683,"èĦ¸":99684,"å°¼":99685,"丽":99686,"奥":99687,"éģĩ":99688,"è¯į":99689,"å°ģ":99690,"ä¸Ŀ":99691,"好çļĦ":99692,"æĭħ":99693,"èĦ±":99694,"æģ¶":99695,"åİļ":99696,"åĬ³":99697,"缣":99698,"æĬĺ":99699,"åı¥":99700,"æĢĢ":99701,"æŁĵ":99702,"书记":99703,"åĨł":99704,"é²ľ":99705,"æ¦Ĥ":99706,"éļIJ":99707,"å¹ħ":99708,"èµŀ":99709,"å¹ķ":99710,"æ¥Ń":99711,"éģĹ":99712,"åĪ¤":99713,"èĺ":99714,"å¶":99715,"æĬķèµĦ":99716,"è¡Įä¸ļ":99717,"äºij":99718,"çݯå¢ĥ":99719,"åѦçĶŁ":99720,"åIJĪä½ľ":99721,"åģ¥åº·":99722,"é£ŀ":99723,"ä¸ĢæŃ¥":99724,"ä¸Ģ缴":99725,"åıijçĶŁ":99726,"éĺ¿":99727,"é¢Ĩ导":99728,"åĸľæ¬¢":99729,"åºĶ该":99730,"çĤº":99731,"è®Ń":99732,"æĿĢ":99733,"港":99734,"交éĢļ":99735,"éĺ¶":99736,"éĴ¢":99737,"令":99738,"å°½":99739,"æ¯į":99740,"è¡£":99741,"ç²ī":99742,"顶":99743,"ä¹Łä¸į":99744,"æĬĵ":99745,"èĭ¦":99746,"幸":99747,"礼":99748,"第ä¸ī":99749,"大çļĦ":99750,"éģİ":99751,"çĥŁ":99752,"éģ¿":99753,"ä»į":99754,"åºĨ":99755,"æĢķ":99756,"è°¢":99757,"çĽĸ":99758,"å°Ħ":99759,"éľ²":99760,"æĸĹ":99761,"çĬ¶":99762,"åѸ":99763,"æ¯ķ":99764,"å·¨":99765,"çŁ¿":99766,"çļĩ":99767,"å¸Ń":99768,"çĹĩ":99769,"æī¬":99770,"延":99771,"侧":99772,"æ·¡":99773,"çļĦä¸Ģ":99774,"網":99775,"æ´ģ":99776,"ç¸":99777,"è§Ī":99778,"çŃ¹":99779,"ç§ĺ":99780,"è¯Ĭ":99781,"çı¾":99782,"èªī":99783,"毫":99784,"ð¨":99785,"åį´":99786,"æĪIJ为":99787,"èĥ½åĬĽ":99788,"é»Ħ":99789,"æĹħ游":99790,"èĪ¬":99791,"æ¯Ķè¾ĥ":99792,"èµ·æĿ¥":99793,"äºĨ解":99794,"èĩªçĦ¶":99795,"ä¸Ģ次":99796,"åŁºæľ¬":99797,"æĽ¾":99798,"综åIJĪ":99799,"èıľ":99800,"è§īå¾Ĺ":99801,"第äºĮ":99802,"è·ij":99803,"æ³¢":99804,"åĢĴ":99805,"ç¡Ģ":99806,"åħµ":99807,"èįī":99808,"çĶ³":99809,"çĶ°":99810,"æĤ£":99811,"è§Ħå®ļ":99812,"èĥľ":99813,"èµĦ产":99814,"梦":99815,"æľĿ":99816,"è¿ĻéĩĮ":99817,"夫":99818,"æĮ¥":99819,"ä½Ľ":99820,"å®Ī":99821,"鼶":99822,"æĸ¼":99823,"ç¯ĩ":99824,"å²Ľ":99825,"åĵ¥":99826,"éŃĶ":99827,"ä¸įåĪ°":99828,"æīĺ":99829,"åºĬ":99830,"欧":99831,"èį£":99832,"æ±ĩ":99833,"æī©":99834,"åģı":99835,"å¢Ļ":99836,"讯":99837,"å©ļ":99838,"æĥł":99839,"æ´ĭ":99840,"å®ľ":99841,"润":99842,"æħ¢":99843,"éĢı":99844,"宽":99845,"顾":99846,"ç´¯":99847,"污":99848,"çĪĨ":99849,"秣":99850,"æĥĬ":99851,"涨":99852,"饰":99853,"éĺµ":99854,"饮":99855,"æļĸ":99856,"åºŁ":99857,"æĹĹ":99858,"éļĶ":99859,"ç¶ĵ":99860,"åĭĻ":99861,"實":99862,"éĢĶ":99863,"æī«":99864,"çĥĪ":99865,"鼻":99866,"åĪij":99867,"éĹľ":99868,"éĹª":99869,"å¥ĭ":99870,"åĤ¨":99871,"缩":99872,"ä¾µ":99873,"å¬":99874,"ð¬¶":99875,"åĽ½éĻħ":99876,"ç»Ħç»ĩ":99877,"ä¸ĵä¸ļ":99878,"åıijçİ°":99879,"å¸ĮæľĽ":99880,"ç»ıèIJ¥":99881,"åı«":99882,"æĿ¥è¯´":99883,"éļľ":99884,"ä»»ä½ķ":99885,"交æĺĵ":99886,"éĩįçĤ¹":99887,"çļ®":99888,"ç»į":99889,"æ´¾":99890,"ç§ijåѦ":99891,"åºĶçĶ¨":99892,"建çŃij":99893,"èĤī":99894,"æĶ¹éĿ©":99895,"åŁºç¡Ģ":99896,"æ±ī":99897,"åĩºæĿ¥":99898,"è¿Ļä¹Ī":99899,"åĪļ":99900,"åĿIJ":99901,"ä¸įä»ħ":99902,"ä¼ļè®®":99903,"éĿł":99904,"åªĴä½ĵ":99905,"æ°¸":99906,"åĨ²":99907,"èĭı":99908,"央":99909,"çĪ¶":99910,"åłĤ":99911,"å®ŀéĻħ":99912,"è¡Ĺ":99913,"ç«¥":99914,"éĺħ":99915,"äºĭæĥħ":99916,"åİŁåĽł":99917,"éħ¸":99918,"以æĿ¥":99919,"娱":99920,"宫":99921,"åĿĹ":99922,"绩":99923,"éĩİ":99924,"ä¸įå¾Ĺ":99925,"ä¼łå¥ĩ":99926,"硬":99927,"åİħ":99928,"æĹ¢":99929,"ç»ĥ":99930,"èĦij":99931,"å¼±":99932,"æİĮ":99933,"è´´":99934,"æĮĤ":99935,"åħ³éĶ®":99936,"å°ļ":99937,"é¥Ń":99938,"åºĦ":99939,"çĻ¼":99940,"åľĭ":99941,"æİĪ":99942,"个æľĪ":99943,"äºĪ":99944,"å¸ģ":99945,"è·Ŀ":99946,"æ²ī":99947,"ç«Ł":99948,"åĨ¬":99949,"æĬ½":99950,"éĨĴ":99951,"å¼Ł":99952,"触":99953,"èģĺ":99954,"è±Ĩ":99955,"æļ´":99956,"åijĬè¯ī":99957,"豪":99958,"èµ¢":99959,"è·¨":99960,"è³ĩ":99961,"çĪ¸":99962,"æĬ±":99963,"浪":99964,"麻":99965,"仪":99966,"è¡¡":99967,"奶":99968,"çģ¾":99969,"赶":99970,"èĤ¥":99971,"å§IJ":99972,"åĢº":99973,"éľĩ":99974,"订":99975,"æ¬Ĭ":99976,"ç·":99977,"å»ī":99978,"ä¿Ĺ":99979,"å¿ĺ":99980,"å¦ĩ":99981,"ç¼ĵ":99982,"åŃķ":99983,"漫":99984,"è£ģ":99985,"çĩĥ":99986,"é»ĺ":99987,"çī¢":99988,"çĪ·":99989,"æĬµ":99990,"宾":99991,"æľīä¸Ģ":99992,"迹":99993,"è¿«":99994,"è²Į":99995,"æľīçļĦ":99996,"ð¬ĺ":99997,"è¿ĺæĺ¯":99998,"æīĢ以":99999,"ä¹Łæĺ¯":100000,"è¿ĻäºĽ":100001,"对äºİ":100002,"åIJ§":100003,"缮åīį":100004,"èĩªå·±çļĦ":100005,"èĥ½å¤Ł":100006,"å¦Ĥä½ķ":100007,"æľºæŀĦ":100008,"åıªæĺ¯":100009,"ç½ijç«Ļ":100010,"åħ¨éĿ¢":100011,"为äºĨ":100012,"å¼Ģåıij":100013,"æĸ°éĹ»":100014,"éĩijèŀį":100015,"继":100016,"客æĪ·":100017,"ä¸Ģèµ·":100018,"èĮ¶":100019,"åħ³æ³¨":100020,"æ°´å¹³":100021,"åİĨåı²":100022,"å¢ŀéķ¿":100023,"é±":100024,"åŁºéĩij":100025,"åºŃ":100026,"åı¶":100027,"ä¿ĥ":100028,"鼨":100029,"æ¶Īè´¹":100030,"èĪ¹":100031,"çŁ¥è¯Ĩ":100032,"æĪĺçķ¥":100033,"ç»ıéªĮ":100034,"å³°":100035,"æĽ²":100036,"èĦļ":100037,"åĨ°":100038,"å¤ı":100039,"å½Ĵ":100040,"ç¬Ķ":100041,"èĻij":100042,"çĶ²":100043,"åľĪ":100044,"è¯Ĺ":100045,"é½IJ":100046,"容æĺĵ":100047,"çłĶåıij":100048,"骨":100049,"纸":100050,"è·µ":100051,"æŧ":100052,"çķ¶":100053,"åĪ¸":100054,"è´·":100055,"åı¬":100056,"ç§ĭ":100057,"液":100058,"è¡ĮæĶ¿":100059,"çĮ®":100060,"èĤ¤":100061,"éĢIJ":100062,"è¶ĬæĿ¥":100063,"è¶ĬæĿ¥è¶Ĭ":100064,"æĦıè§ģ":100065,"èĪŀ":100066,"åīĤ":100067,"æ¶ī":100068,"ç¨ĭ度":100069,"åħ¬åħ±":100070,"械":100071,"æľ«":100072,"纯":100073,"åĶ±":100074,"æ´²":100075,"æĬ¢":100076,"æ¤į":100077,"å¿Ļ":100078,"ä¼°":100079,"å¼¹":100080,"æ³ī":100081,"æľĢ大":100082,"è¶ĭ":100083,"å·§":100084,"ç¦ģ":100085,"æī¶":100086,"åį±":100087,"çıł":100088,"çĨŁ":100089,"æĭľ":100090,"主ä¹ī":100091,"æĿĤ":100092,"éĻĦ":100093,"éģį":100094,"æIJŃ":100095,"æĮ¯":100096,"å¤ļå¹´":100097,"æķ¬":100098,"æijĦ":100099,"纷":100100,"å¼ĥ":100101,"湿":100102,"å¨ĺ":100103,"æ¡£":100104,"驶":100105,"æľĹ":100106,"æ®ĸ":100107,"æ¦ľ":100108,"åĵ¡":100109,"ä¸Ģä½ĵ":100110,"æŁ¥çľĭ":100111,"ç¹ģ":100112,"æµĵ":100113,"åħ¬å®ī":100114,"æ½ľ":100115,"è´¯":100116,"éªĹ":100117,"æIJľ":100118,"å·¡":100119,"è¬":100120,"éĬ":100121,"å§Ķä¼ļ":100122,"æĤł":100123,"åī©":100124,"æıŃ":100125,"åŃ£åº¦":100126,"ð«ĺ":100127,"ð¬¬":100128,"ä´":100129,"ðª":100130,"ä½Ĩæĺ¯":100131,"éĥ½æĺ¯":100132,"å¹³åı°":100133,"åŃ¦ä¹ł":100134,"åĵģçīĮ":100135,"ä¸Ķ":100136,"è¿Ļç§į":100137,"æĶ¿çŃĸ":100138,"æĭ¬":100139,"认为":100140,"ä¸ĢèĪ¬":100141,"æłĩåĩĨ":100142,"æĶ¯æĮģ":100143,"模å¼ı":100144,"åħ³ç³»":100145,"çļĦæĺ¯":100146,"è¿Ļä¸Ģ":100147,"ä¸įè¦ģ":100148,"çĶļ":100149,"ç²¾ç¥ŀ":100150,"æĭ¥":100151,"åĪ©çĶ¨":100152,"ä¿ĿæĬ¤":100153,"ä½ľçĶ¨":100154,"èĭ¥":100155,"åĽ½åĨħ":100156,"ä»ĭç»į":100157,"ä¸Ģä¸ĭ":100158,"å·¥ä¸ļ":100159,"缮æłĩ":100160,"æľĢåIJİ":100161,"ä»·åĢ¼":100162,"å°į":100163,"éĵģ":100164,"è°ģ":100165,"ç»ĵæŀĦ":100166,"éĽª":100167,"æĻºèĥ½":100168,"ä¼łç»Ł":100169,"ä½ĵèĤ²":100170,"çĶŁæĢģ":100171,"æĭį":100172,"æݪ":100173,"åĨľä¸ļ":100174,"çī¹èī²":100175,"è§Ħ模":100176,"æĹ¶ä»£":100177,"è¿ĩç¨ĭ":100178,"éĴĪ":100179,"æĿ¾":100180,"åĶIJ":100181,"åĮ»çĸĹ":100182,"çģ¯":100183,"åĪ¶éĢł":100184,"æł¸å¿ĥ":100185,"ä¸įåı¯":100186,"ç³»åĪĹ":100187,"åIJī":100188,"åľ£":100189,"åĢij":100190,"ä½³":100191,"æĿ¥çľĭ":100192,"æ¯ĶèµĽ":100193,"ä¸ĭæĿ¥":100194,"åĩºäºĨ":100195,"å¹²éĥ¨":100196,"微信":100197,"å½ĵåľ°":100198,"åį·":100199,"åį«çĶŁ":100200,"ä¼Ł":100201,"çĸ«æĥħ":100202,"è°·":100203,"åĩłä¸ª":100204,"éĺ´":100205,"çĶŁçī©":100206,"å°¤":100207,"ä¼Ĭ":100208,"èĤ¯":100209,"éĿ¢ç§¯":100210,"åĪĽéĢł":100211,"æı¡":100212,"åľĨ":100213,"æĻĵ":100214,"æĪIJäºĨ":100215,"åĩ¡":100216,"çĸ¾":100217,"ç«ŀäºī":100218,"讨":100219,"主é¢ĺ":100220,"é²ģ":100221,"迪":100222,"ä¿Ħ":100223,"æĢª":100224,"並":100225,"èĻļ":100226,"æ½®":100227,"çĥ§":100228,"èĢ³":100229,"æ±ł":100230,"éĢĤåIJĪ":100231,"æł¹æľ¬":100232,"åĬłçĽŁ":100233,"çĶµè§Ĩ":100234,"æ··":100235,"ç¼ĺ":100236,"çªĹ":100237,"çĬ¯":100238,"æĥ¯":100239,"æĦıä¹ī":100240,"åĬŀæ³ķ":100241,"ä¼ij":100242,"æ»ij":100243,"åĭĩ":100244,"æķ¢":100245,"寻":100246,"è¦Ĩ":100247,"éĢĥ":100248,"ç»ıçIJĨ":100249,"åĿı":100250,"æ³½":100251,"ä¹ĺ":100252,"åĪº":100253,"å±ı":100254,"é¡¿":100255,"亡":100256,"éĤĢ":100257,"åħ¼":100258,"åĭ¤":100259,"æ®ĭ":100260,"æĺł":100261,"æ¯ķä¸ļ":100262,"æĪª":100263,"è·Į":100264,"å£ģ":100265,"åı¦ä¸Ģ":100266,"羣å®ŀ":100267,"磨":100268,"è¯ļ":100269,"å¿ħè¦ģ":100270,"æģĭ":100271,"æĩĤ":100272,"å¾Ĵ":100273,"è°ĵ":100274,"æķı":100275,"æĻ¨":100276,"èĥ¸":100277,"æĭ¼":100278,"å¦Ļ":100279,"诸":100280,"èģĬ":100281,"æĤī":100282,"麼":100283,"åĩŃ":100284,"èĪĴ":100285,"æ¶Ĥ":100286,"è¿ģ":100287,"沿":100288,"å¡ij":100289,"æĽ¿":100290,"æ¾³":100291,"å¿į":100292,"èĢĹ":100293,"龸":100294,"åĩłå¹´":100295,"åĪĬ":100296,"èĦī":100297,"èħIJ":100298,"æ¡Į":100299,"çºł":100300,"æ»ļ":100301,"æĤ²":100302,"åĨĴ":100303,"妹":100304,"çķħ":100305,"纵":100306,"æijĩ":100307,"夺":100308,"è·¯ä¸Ĭ":100309,"忽":100310,"èĸª":100311,"æģIJ":100312,"æĦıæĢĿ":100313,"å«Į":100314,"æı´":100315,"æ°§":100316,"èĢĢ":100317,"éĺ»":100318,"轨":100319,"å¹»":100320,"æįķ":100321,"åĿ¦":100322,"åĵĪåĵĪ":100323,"çĭIJ":100324,"滨":100325,"è²»":100326,"è¿Ł":100327,"人éĥ½":100328,"ç»ĺ":100329,"åı¹":100330,"çµIJ":100331,"æī°":100332,"æ»ĭ":100333,"å¥ij":100334,"åĭŁ":100335,"確":100336,"ð¦":100337,"éĽĨåĽ¢":100338,"æĿİ":100339,"å¼Ģå±ķ":100340,"æıIJåįĩ":100341,"åħ¨åĽ½":100342,"汽车":100343,"åŃ¦æł¡":100344,"æł¹æį®":100345,"è¿Ļæĺ¯":100346,"åĩºçİ°":100347,"éĻĪ":100348,"ç½Ĺ":100349,"èİ·å¾Ĺ":100350,"åĪĺ":100351,"éĶĢåĶ®":100352,"æľªæĿ¥":100353,"éľĢæ±Ĥ":100354,"å®ŀæĸ½":100355,"åĿļæĮģ":100356,"åħ¨çIJĥ":100357,"éĵ¶è¡Į":100358,"æݧåĪ¶":100359,"é¡»":100360,"åľ°åĮº":100361,"æīĵéĢł":100362,"çļĦè¯Ŀ":100363,"帮åĬ©":100364,"ä½ĵç³»":100365,"è¾¾åĪ°":100366,"è§ĦåĪĴ":100367,"åŁ¹è®Ń":100368,"两个":100369,"æĬ¥åijĬ":100370,"åľ°æĸ¹":100371,"å®Įåħ¨":100372,"æİī":100373,"ç»ĵåIJĪ":100374,"å®£ä¼ł":100375,"æ³ķå¾ĭ":100376,"èīºæľ¯":100377,"çĶµå½±":100378,"說":100379,"ä¸ĢçĤ¹":100380,"è¶ħè¿ĩ":100381,"çĶµåŃIJ":100382,"æĢĿæĥ³":100383,"æķĻåѦ":100384,"éĺ¶æ®µ":100385,"åķĨä¸ļ":100386,"çī©æµģ":100387,"åĪĽä¸ļ":100388,"æĸ¹æ¡Ī":100389,"çݰ代":100390,"æ¡¥":100391,"èIJ½å®ŀ":100392,"带æĿ¥":100393,"产çĶŁ":100394,"ç§Ģ":100395,"æ³°":100396,"ä¹±":100397,"åħ·ä½ĵ":100398,"åĸĿ":100399,"èĵĿ":100400,"å®Ĺ":100401,"åįĩ级":100402,"æ·±åħ¥":100403,"ä¿ĿéĻ©":100404,"ç®Ģåįķ":100405,"çĹĽ":100406,"稳å®ļ":100407,"è¾Ĩ":100408,"å±ŀäºİ":100409,"å·Ŀ":100410,"ä¸įå°ij":100411,"åĴ¨":100412,"ä¸ľè¥¿":100413,"å½¢å¼ı":100414,"娱ä¹IJ":100415,"æŃ£å¸¸":100416,"鸡":100417,"åħħåĪĨ":100418,"å®ŀè·µ":100419,"éĩĮéĿ¢":100420,"è·³":100421,"èĻİ":100422,"æĪIJéķ¿":100423,"æļĹ":100424,"çĿ¡":100425,"罪":100426,"çIJĨ念":100427,"æĮij":100428,"èµĦæľ¬":100429,"å¤ļå°ij":100430,"ä¸ĭéĿ¢":100431,"å¸Ŀ":100432,"åħ¬å¼Ģ":100433,"æ¸IJ":100434,"éķ·":100435,"å±ĭ":100436,"欢è¿İ":100437,"å¿ĥçIJĨ":100438,"çĤİ":100439,"æ¹¾":100440,"è®ĵ":100441,"éĤĦ":100442,"ç³ĸ":100443,"ä¹Į":100444,"åĬ±":100445,"çīĻ":100446,"èħ¿":100447,"å²Ĺ":100448,"ä¼į":100449,"æĪIJåijĺ":100450,"åŃĶ":100451,"å°ıç¼ĸ":100452,"èij£":100453,"泡":100454,"åħĪè¿Ľ":100455,"åħ§":100456,"åĺ´":100457,"è´Ŀ":100458,"è»":100459,"æIJŀ":100460,"æ³Ľ":100461,"鸣":100462,"ç½²":100463,"èĽĭ":100464,"主任":100465,"缮çļĦ":100466,"ä¹ı":100467,"æ´¥":100468,"æĪ´":100469,"ä¸¥æł¼":100470,"çħ¤":100471,"çĮ«":100472,"åĶ¯":100473,"å°Ĭ":100474,"çĶľ":100475,"åŀĥ":100476,"åľ¾":100477,"æĭŁ":100478,"çĦ¦":100479,"é«Ķ":100480,"å®ı":100481,"æ©Ł":100482,"é©»":100483,"æĹģ":100484,"å½»":100485,"éĥ½ä¸į":100486,"æij©":100487,"ä»ĵ":100488,"ä¹³":100489,"岸":100490,"è°ĭ":100491,"大å¤ļ":100492,"çģŃ":100493,"èħ¾":100494,"æŁľ":100495,"èĪį":100496,"åħļçļĦ":100497,"å°ĺ":100498,"åįģå¹´":100499,"æĭĴ":100500,"裡":100501,"æŁĶ":100502,"å¹¼":100503,"éĶģ":100504,"ä¸ĵ项":100505,"æīİ":100506,"驾驶":100507,"ç¢İ":100508,"è¢ĭ":100509,"éĶĭ":100510,"壮":100511,"å°ĸ":100512,"çĶµæ±ł":100513,"è¿Ķ":100514,"æ¼ı":100515,"循":100516,"èıĮ":100517,"èĥĥ":100518,"è¾ħ":100519,"éĢĴ":100520,"èĥİ":100521,"éĻª":100522,"寿":100523,"å¥Ķ":100524,"çĮĽ":100525,"纹":100526,"çŁ¥åIJį":100527,"å¿Ĩ":100528,"æ¡ĥ":100529,"æ£ĭ":100530,"éĢĨ":100531,"çĤ¼":100532,"ç±į":100533,"çī§":100534,"æł·çļĦ":100535,"è¾Ľ":100536,"åłĨ":100537,"å®ŀåľ¨":100538,"ä¼ı":100539,"宿":100540,"èµı":100541,"è£Ĥ":100542,"åįĬå¹´":100543,"åĢ¾":100544,"满æĦı":100545,"梯":100546,"æĦıåij³":100547,"åѤ":100548,"ç¥Ŀ":100549,"æĻ¶":100550,"èµĶ":100551,"åģ¿":100552,"èĦĤ":100553,"ç½ļ":100554,"ç¢į":100555,"æ²ĥ":100556,"æĵį":100557,"å´ĩ":100558,"æļĤ":100559,"è·ĥ":100560,"æIJ¬":100561,"å©Ĩ":100562,"éī":100563,"éī´":100564,"åħ´è¶£":100565,"èIJ¥ä¸ļ":100566,"è®Ĭ":100567,"èĦı":100568,"è¾Ī":100569,"å·ŀå¸Ĥ":100570,"è´«åĽ°":100571,"ç©·":100572,"ä¸Ńå°ı":100573,"æ¼Ĥ":100574,"çĻĮ":100575,"èľľ":100576,"ä¼Ļä¼´":100577,"çīµ":100578,"æĤŁ":100579,"éĻ·":100580,"èµĽåŃ£":100581,"樣":100582,"åģ¶":100583,"æĺĨ":100584,"è¢Ń":100585,"æįIJ":100586,"èī°":100587,"æĤ¬":100588,"çĶ¢":100589,"èij¡":100590,"çĽĹ":100591,"å©´":100592,"å°İ":100593,"纽":100594,"åĢ¡":100595,"æī®":100596,"è¨Ń":100597,"æĬij":100598,"ç¡ķ":100599,"è¾ĸ":100600,"éĥģ":100601,"辩":100602,"éĤ»":100603,"çİ°åĩº":100604,"è¦ı":100605,"å½¹":100606,"éĺĶ":100607,"åīµ":100608,"诱":100609,"æĥij":100610,"æ·Ģ":100611,"é¢Ī":100612,"侦":100613,"æģ°":100614,"æ£Ģå¯Ł":100615,"éĨ«":100616,"çĦ¶æĺ¯":100617,"åĭĥ":100618,"èĮ«":100619,"äĵ":100620,"ð¬¸":100621,"ä½ľä¸º":100622,"çļĦ人":100623,"éĤ£ä¹Ī":100624,"ç¾İåĽ½":100625,"è¿ĺæľī":100626,"æıIJé«ĺ":100627,"èĻ½":100628,"åħ·æľī":100629,"åĮħæĭ¬":100630,"æĪĸèĢħ":100631,"ä¸įè¿ĩ":100632,"ä¸Ĭæµ·":100633,"åĮ»éĻ¢":100634,"èµĦéĩij":100635,"çĶļèĩ³":100636,"åĪ¶åº¦":100637,"解åĨ³":100638,"èģĶç½ij":100639,"继ç»Ń":100640,"建ç«ĭ":100641,"è¿Ľä¸ĢæŃ¥":100642,"æĿIJæĸĻ":100643,"ä»Ĭ天":100644,"å¿ħé¡»":100645,"åIJĦç§į":100646,"çİ°åľº":100647,"ä»ĸçļĦ":100648,"å¢ŀåĬł":100649,"é¢ĨåŁŁ":100650,"åıĤä¸İ":100651,"æĮģç»Ń":100652,"ä¹ĭä¸Ģ":100653,"çī¹åĪ«":100654,"é±¼":100655,"åħ±åIJĮ":100656,"åĬª":100657,"çİī":100658,"人们":100659,"åħĪçĶŁ":100660,"ä¼ĺåĬ¿":100661,"ä¿ĿæĮģ":100662,"ä½ľåĵģ":100663,"çīĽ":100664,"æĪIJæľ¬":100665,"æĶ¶åħ¥":100666,"åıĬæŶ":100667,"è´Łè´£":100668,"æİ¥åıĹ":100669,"èįIJ":100670,"åıªè¦ģ":100671,"羣çļĦ":100672,"导èĩ´":100673,"æľºåĪ¶":100674,"è¡ĮåĬ¨":100675,"æĸ°çļĦ":100676,"å®ĮåĸĦ":100677,"为ä»Ģä¹Ī":100678,"ä¸Ń央":100679,"æĪIJç«ĭ":100680,"æĦŁè§ī":100681,"åıĺåĮĸ":100682,"åıĹåĪ°":100683,"并ä¸į":100684,"åŃĻ":100685,"æĸ½å·¥":100686,"æĺİæĺ¾":100687,"è¿ĩåİ»":100688,"åıijæĮ¥":100689,"羣æŃ£":100690,"åŁºåľ°":100691,"æĺİç¡®":100692,"èĥ¡":100693,"许å¤ļ":100694,"ä¸Ģå¹´":100695,"æĸ¹åIJij":100696,"æģ©":100697,"çĽ¸ä¿¡":100698,"åľ³":100699,"详ç»Ĩ":100700,"äºĭä¸ļ":100701,"çĶŁåij½":100702,"åĴ¨è¯¢":100703,"æĸĩæĺİ":100704,"çijŀ":100705,"绿èī²":100706,"èİ«":100707,"æĦıè¯Ĩ":100708,"æĬķåħ¥":100709,"åĬłå¿«":100710,"æ¢ħ":100711,"ç¿»":100712,"å¼ĢæĶ¾":100713,"æĻ®éĢļ":100714,"åįıä¼ļ":100715,"æĪIJ绩":100716,"ä»Ļ":100717,"å¯Ĵ":100718,"è¯ģåĪ¸":100719,"认è¯Ĩ":100720,"丹":100721,"大éĩı":100722,"è¿ħ":100723,"åģļåĪ°":100724,"设æĸ½":100725,"è´¸æĺĵ":100726,"èĥ½æºIJ":100727,"æĹ¶æľŁ":100728,"ä¸Ģ天":100729,"æ²»çIJĨ":100730,"åĺī":100731,"å®ĩ":100732,"丰å¯Į":100733,"举è¡Į":100734,"æĪIJæŀľ":100735,"èĤ¯å®ļ":100736,"çĭĹ":100737,"åĬ¨åĬĽ":100738,"森":100739,"åĩłä¹İ":100740,"åĽłç´ł":100741,"æ°ijæĹı":100742,"æ´ŀ":100743,"ç½ijåıĭ":100744,"åIJĪçIJĨ":100745,"广大":100746,"æ®Ĭ":100747,"æ´Ľ":100748,"æĿ¯":100749,"èĴĻ":100750,"çĶ¨äºİ":100751,"èŀįèµĦ":100752,"ç¥ĸ":100753,"æľºæ¢°":100754,"举åĬŀ":100755,"èĩªåĬ¨":100756,"åĬŀåħ¬":100757,"é»ŀ":100758,"éĽĦ":100759,"åĢ¼å¾Ĺ":100760,"çĮª":100761,"以为":100762,"æĺĮ":100763,"è·Ŀ离":100764,"åIJ¸å¼ķ":100765,"ç»ķ":100766,"éļĨ":100767,"计ç®Ĺ":100768,"éĺŁä¼į":100769,"大ä¼ļ":100770,"å¼ķèµ·":100771,"çī¹çĤ¹":100772,"èĥ¶":100773,"å¹´è½»":100774,"æľ¬èº«":100775,"æľºåħ³":100776,"å®ĺæĸ¹":100777,"éĥij":100778,"æµĻ":100779,"è§Ĵèī²":100780,"èij£äºĭ":100781,"为主":100782,"æĹłè®º":100783,"ä¹łæĥ¯":100784,"æ¥ļ":100785,"æĭĵ":100786,"ç»Łè®¡":100787,"åħĦ":100788,"å¹¿æ³Ľ":100789,"åįĢ":100790,"污æŁĵ":100791,"è«ĭ":100792,"èĬĤ缮":100793,"伦":100794,"è¦ĨçĽĸ":100795,"èĢIJ":100796,"æī¶è´«":100797,"ç»ıåİĨ":100798,"éĩįè¦ģçļĦ":100799,"èĤ¡ä¸ľ":100800,"æĭĽèģĺ":100801,"åĽĽä¸ª":100802,"æĩī":100803,"èĥŀ":100804,"æijĨ":100805,"é«ĺéĢŁ":100806,"麦":100807,"åİŁåĪĻ":100808,"èݱ":100809,"æĽ´å¥½":100810,"éķľ":100811,"åĩĮ":100812,"åŀĥåľ¾":100813,"éĢ²":100814,"çģ°":100815,"éĵº":100816,"äºĭæķħ":100817,"çĶĺ":100818,"空æ°Ķ":100819,"é¾Ħ":100820,"èı²":100821,"çĵ¶":100822,"æĺ¨":100823,"æĹ¥æĬ¥":100824,"æµ®":100825,"åľ°åĽ¾":100826,"åijĪ":100827,"大åĬĽ":100828,"绪":100829,"å¸ħ":100830,"æľįåĭĻ":100831,"ä¸įéĶĻ":100832,"乡æĿij":100833,"å±¥":100834,"å¹³æĸ¹":100835,"éĹ²":100836,"æī£":100837,"ç´łè´¨":100838,"èµ´":100839,"éģŃ":100840,"èIJ¨":100841,"èĩªä¸»":100842,"éĩijå±ŀ":100843,"èī¯å¥½":100844,"两年":100845,"æ³¥":100846,"é¢ľ":100847,"精彩":100848,"ä¸Ńåįİ":100849,"æĻĭ":100850,"ä¹łè¿ij":100851,"ä¹łè¿ijå¹³":100852,"æĪĺ士":100853,"åģļçļĦ":100854,"éªij":100855,"æ»´":100856,"çĵľ":100857,"çīĪæĿĥ":100858,"èĤł":100859,"æľĥåĵ¡":100860,"çıį":100861,"種":100862,"仿":100863,"çī©ä¸ļ":100864,"åĢĭ人":100865,"妻":100866,"伸":100867,"æ±Ĺ":100868,"æĹº":100869,"çIJĨæĥ³":100870,"æij¸":100871,"è¿Ŀæ³ķ":100872,"å®Įæķ´":100873,"åݦ":100874,"è¸ı":100875,"æĸij":100876,"æ¡Ĥ":100877,"ä½ĵåĪ¶":100878,"師":100879,"æĿĨ":100880,"殿":100881,"æ¯ģ":100882,"é¦Ī":100883,"è§Ĵ度":100884,"欣":100885,"çĥ¦":100886,"èĤº":100887,"éĩĩ访":100888,"æijĺ":100889,"æĮ¡":100890,"æ·ĺ":100891,"åħ»èĢģ":100892,"çĤ¸":100893,"è¿Ī":100894,"åİī":100895,"åĿĬ":100896,"è¾£":100897,"åĩĿ":100898,"泪":100899,"çĸı":100900,"æİĺ":100901,"åĥıæĺ¯":100902,"éĽķ":100903,"ç¼Ŀ":100904,"èį·":100905,"æį·":100906,"åł¡":100907,"åı¥è¯Ŀ":100908,"çĸ¼":100909,"æłı":100910,"éģµ":100911,"碳":100912,"å·¥åķĨ":100913,"æIJº":100914,"åĪ¥":100915,"ä¹Ļ":100916,"æĹĭ":100917,"æĥľ":100918,"ä¸Ģ大":100919,"å±Ĥ次":100920,"èµĸ":100921,"æĬ¬":100922,"æ¨Ĥ":100923,"è¯ŀ":100924,"åħĴ":100925,"篮":100926,"èĤĥ":100927,"姿":100928,"æĬļ":100929,"çĵ·":100930,"çĶµåĬ¨":100931,"æĸ°åĨł":100932,"涵":100933,"ç¢ij":100934,"æ·®":100935,"æŨ":100936,"踪":100937,"æ¸Ķ":100938,"æĦĪ":100939,"åıĶ":100940,"åįĹçľģ":100941,"義":100942,"å§Ķ书记":100943,"貸":100944,"æ¶Į":100945,"è«ĸ":100946,"èIJĦ":100947,"æıı":100948,"忧":100949,"辦":100950,"å¦Ĩ":100951,"æīŃ":100952,"åijµ":100953,"éģ¥":100954,"許":100955,"ä»ĩ":100956,"åįģä¸ī":100957,"åī²":100958,"èªį":100959,"èĪ°":100960,"é¢ĩ":100961,"饱":100962,"çĭł":100963,"é«ĺçļĦ":100964,"çµ±":100965,"æħİ":100966,"é¢ģ":100967,"åIJĪéĢĤ":100968,"æµ´":100969,"èµĭ":100970,"æĬ¼":100971,"妥":100972,"éĻ¢éķ¿":100973,"èĢķ":100974,"辨":100975,"æħ°":100976,"åįģåĽĽ":100977,"æľµ":100978,"èĵĦ":100979,"æŀ¢":100980,"å»·":100981,"æĤĦ":100982,"涯":100983,"磩":100984,"åŃIJéĩĮ":100985,"çĬ¹":100986,"å±Ģéķ¿":100987,"éIJ":100988,"å¥ł":100989,"ä¼ļéķ¿":100990,"æĵļ":100991,"ä¸įåıĬ":100992,"åįģä¹Ŀ":100993,"欺":100994,"躺":100995,"éĺIJ":100996,"çºĮ":100997,"註":100998,"åĨĬ":100999,"èŃĺ":101000,"é«ĺçŃī":101001,"èħº":101002,"å¤ķ":101003,"ç»ij":101004,"åĶ¤":101005,"èķ´":101006,"çķľ":101007,"æħĭ":101008,"åıĻ":101009,"åıĥ":101010,"峡":101011,"人大":101012,"éħ¿":101013,"éģ©":101014,"奢":101015,"åı£æ°Ķ":101016,"éĮĦ":101017,"éı":101018,"åĭĺ":101019,"è´¿":101020,"éļª":101021,"éĭ":101022,"éļ¶":101023,"ð¥":101024,"ð¬£":101025,"ð£":101026,"ð«į":101027,"ð¬³":101028,"ð«ĵ":101029,"ð«Ħ":101030,"ð«Ł":101031,"ð¨±":101032,"äĹ":101033,"以åıĬ":101034,"æľīéĻIJ":101035,"åij¢":101036,"åIJĹ":101037,"çľĭåĪ°":101038,"计åĪĴ":101039,"è¿Ľåħ¥":101040,"缴æİ¥":101041,"åĪĨæŀIJ":101042,"åıªæľī":101043,"设å¤ĩ":101044,"åħ¶å®ŀ":101045,"åĬłå¼º":101046,"ä¸ŃçļĦ":101047,"ä¿Ŀéļľ":101048,"èĢģå¸Ī":101049,"人æīį":101050,"å¾ĹåĪ°":101051,"é£İéĻ©":101052,"ä¸Ģç§į":101053,"空éĹ´":101054,"æĪijåĽ½":101055,"ä¹ĭåīį":101056,"ä¸ĵ家":101057,"æĿ¨":101058,"æĹ¥æľ¬":101059,"群ä¼Ĺ":101060,"åıĤåĬł":101061,"æķĪæŀľ":101062,"æľīåħ³":101063,"家åºŃ":101064,"åĮºåŁŁ":101065,"åĬªåĬĽ":101066,"éļıçĿĢ":101067,"æĹłæ³ķ":101068,"交æµģ":101069,"è¡Į为":101070,"æ£ĢæŁ¥":101071,"æľŁéĹ´":101072,"å¦ĤæѤ":101073,"èĤ¡ä»½":101074,"å½ĵæŶ":101075,"è£ħå¤ĩ":101076,"åĩĨå¤ĩ":101077,"éħĴåºĹ":101078,"è¿IJåĬ¨":101079,"æıIJåĩº":101080,"å·¦åı³":101081,"æݪæĸ½":101082,"é£Łåĵģ":101083,"æ¶Īè´¹èĢħ":101084,"åѦéĻ¢":101085,"æĮĩ导":101086,"è¿IJèIJ¥":101087,"éĩį大":101088,"åĨľæĿij":101089,"éĢłæĪIJ":101090,"æĶ¿æ²»":101091,"éĴĪ对":101092,"æŃ£å¼ı":101093,"åıĸå¾Ĺ":101094,"éĤ£ä¸ª":101095,"éĽĨä¸Ń":101096,"åıªèĥ½":101097,"å¿«éĢŁ":101098,"身ä½ĵ":101099,"åħļåijĺ":101100,"èģĶåIJĪ":101101,"åĬĽéĩı":101102,"éĥ½æľī":101103,"æħ§":101104,"å¡Ķ":101105,"åĪ«äºº":101106,"表çİ°":101107,"æķħäºĭ":101108,"ä¸ĢåĪĩ":101109,"å°ĩ":101110,"èµĦæĸĻ":101111,"åŁ¹åħ»":101112,"éĺħ读":101113,"æľī人":101114,"èIJ¥éĶĢ":101115,"çĽijçĿ£":101116,"çݯä¿Ŀ":101117,"èĢĥèĻij":101118,"æ·±åľ³":101119,"严éĩį":101120,"èĮĥåĽ´":101121,"å§Ķåijĺ":101122,"çĽij管":101123,"ä¸ī个":101124,"è£ħä¿®":101125,"åħ¬éĩĮ":101126,"åĪĨåĪ«":101127,"çIJĨ解":101128,"飩":101129,"åĬłå·¥":101130,"è®¤çľŁ":101131,"ä¸į好":101132,"åݻ年":101133,"éĻįä½İ":101134,"æľºä¼ļ":101135,"åįıè®®":101136,"符åIJĪ":101137,"å¢ŀ强":101138,"æĬĢèĥ½":101139,"é¦ĸåħĪ":101140,"秦":101141,"ä¸ģ":101142,"å°¾":101143,"æľīäºĨ":101144,"åľ°äº§":101145,"æ¸ł":101146,"æĸ¹ä¾¿":101147,"移åĬ¨":101148,"éĢŁåº¦":101149,"å°¤åħ¶":101150,"éĢļçŁ¥":101151,"åĿĽ":101152,"éģ¿åħį":101153,"æģ¢":101154,"è´¡":101155,"èģĮå·¥":101156,"å®ŀåĬĽ":101157,"æĺ¯ä¸Ģç§į":101158,"åIJ¯åĬ¨":101159,"çĸ¾çĹħ":101160,"æĿ¥äºĨ":101161,"çĽ¸å¯¹":101162,"çİ°å®ŀ":101163,"èŀįåIJĪ":101164,"åIJĮæł·":101165,"åħ¬åijĬ":101166,"çī¹æ®Ĭ":101167,"ç´«":101168,"ä¸ĭåİ»":101169,"ä¼łæĴŃ":101170,"æľĢ好":101171,"ä¼ĺè´¨":101172,"æ²Ĵ":101173,"æĮº":101174,"æŦ":101175,"诺":101176,"ä¸ĢåIJį":101177,"éģĵè·¯":101178,"示èĮĥ":101179,"è¿ĩæĿ¥":101180,"åIJĮåѦ":101181,"é¼ĵ":101182,"æĿŃ":101183,"æľ¬æ¬¡":101184,"åIJĮæĦı":101185,"ä¸ĸ纪":101186,"ç¾Ĭ":101187,"欲":101188,"å·¥èīº":101189,"çĵ¦":101190,"人士":101191,"æľīæīĢ":101192,"ä»İäºĭ":101193,"æľīå¾Īå¤ļ":101194,"ä¸įäºĨ":101195,"å²Ĺä½į":101196,"åıĺå¾Ĺ":101197,"åĬ³åĬ¨":101198,"å¤Ħäºİ":101199,"å¹³åĿĩ":101200,"形象":101201,"å¡ŀ":101202,"åħ±äº«":101203,"çĿĽ":101204,"åĪ©æ¶¦":101205,"æŃ£æĺ¯":101206,"å¾Ģå¾Ģ":101207,"缸æ¯Ķ":101208,"横":101209,"åĪ·":101210,"æµĻæ±Ł":101211,"大éĥ¨åĪĨ":101212,"å¤ļ个":101213,"æĤ¨çļĦ":101214,"çĶµåķĨ":101215,"å¾®åįļ":101216,"å§ĭç»Ī":101217,"çĬ¯ç½ª":101218,"æĺ¯åľ¨":101219,"ç»ĦåIJĪ":101220,"åİŁæĿ¥":101221,"æ¸ħæ¥ļ":101222,"åIJĦåľ°":101223,"æĦŁåıĹ":101224,"å½ĵä¸Ń":101225,"è¶ĭåĬ¿":101226,"æĻ¯åĮº":101227,"羣æĺ¯":101228,"ä¾ĽåºĶ":101229,"转åŀĭ":101230,"çĭĤ":101231,"èĨľ":101232,"èĭĹ":101233,"å¿ł":101234,"å¾Ī大":101235,"èĤ¡æĿĥ":101236,"ç¾İåħĥ":101237,"æİĴåIJį":101238,"åĬ¨çī©":101239,"éĶħ":101240,"墨":101241,"主å¸Ń":101242,"å¾Ī好":101243,"ç»Ŀ对":101244,"æĿľ":101245,"转载":101246,"çĴĥ":101247,"æĿijæ°ij":101248,"åIJ¨":101249,"åĽŃåĮº":101250,"é«ĺ度":101251,"çī©è´¨":101252,"è¾ī":101253,"æĹ¥å¸¸":101254,"æıĴ":101255,"ä¸īå¹´":101256,"ä½ĵçİ°":101257,"æīįæĺ¯":101258,"代çIJĨ":101259,"ä¸į管":101260,"æģĴ":101261,"åľ°ä½į":101262,"ç²®":101263,"èĸĦ":101264,"æĺİçĻ½":101265,"ä¸Ģèĩ´":101266,"æĽ¼":101267,"åĵŃ":101268,"åĩ¤":101269,"åĬ²":101270,"æķĮ":101271,"æĪĺæĸĹ":101272,"主ä½ĵ":101273,"åħ¬å¸ĥ":101274,"åıĤèĢĥ":101275,"èĪªç©º":101276,"寺":101277,"åѦä¼ļ":101278,"åıįæĺł":101279,"ç¾İ丽":101280,"太éĺ³":101281,"建æĪIJ":101282,"æħ¢æħ¢":101283,"åIJĦ个":101284,"éĤ¦":101285,"ç»ĦæĪIJ":101286,"ä¸ī大":101287,"éĶ¦":101288,"大å¤ļæķ°":101289,"æ¦Ĥ念":101290,"éŃĤ":101291,"åħ¬çĽĬ":101292,"èįĴ":101293,"身份":101294,"æ·±åĪ»":101295,"åħ©":101296,"ç»ıåħ¸":101297,"åIJĦ项":101298,"èĻķ":101299,"è¿ĽæŃ¥":101300,"åįģäºĮ":101301,"æī§æ³ķ":101302,"æĥ³åĪ°":101303,"æĦŁæŁĵ":101304,"åķĨåĬ¡":101305,"å°ıç»Ħ":101306,"èĶ¬":101307,"çıŃåŃIJ":101308,"åIJĮå¿Ĺ":101309,"éĿ¢ä¸´":101310,"çĤĴ":101311,"å¤ļç§į":101312,"è§ĤçĤ¹":101313,"åĵªéĩĮ":101314,"å°Ŀ":101315,"å§Ĩ":101316,"èħ¹":101317,"åŁİåĮº":101318,"太å¤ļ":101319,"çĹħæ¯Ĵ":101320,"åľ¨äºİ":101321,"æīĢè°ĵ":101322,"æĻ°":101323,"æŀĿ":101324,"æĭĸ":101325,"å®ħ":101326,"æķ´æ²»":101327,"ä½ıæĪ¿":101328,"åģ·":101329,"çĨĬ":101330,"èµģ":101331,"æ°Ľ":101332,"æł¼å±Ģ":101333,"åŁºç¡Ģä¸Ĭ":101334,"èĥĨ":101335,"åħ½":101336,"鼶åĶ®":101337,"åĿ¡":101338,"女åŃ©":101339,"æĴŀ":101340,"åħ¨åĬĽ":101341,"åĴĸ":101342,"èĤ©":101343,"çľī":101344,"èĩ³äºİ":101345,"åħļç»Ħ":101346,"ä¸Ģ件":101347,"æĭĨ":101348,"äºĭå®ŀ":101349,"åĤ³":101350,"æ¹ĺ":101351,"網ç«Ļ":101352,"循çݯ":101353,"åIJĮæ¯Ķ":101354,"æĭĶ":101355,"åĮ»èį¯":101356,"åħ»æ®ĸ":101357,"åĽºå®ļ":101358,"å®ŀéĻħä¸Ĭ":101359,"è®°å¾Ĺ":101360,"åĪ©äºİ":101361,"æĤ¦":101362,"æĭ³":101363,"èĤĿ":101364,"æķĪçĽĬ":101365,"該":101366,"æ°ij主":101367,"çĹĩçĬ¶":101368,"風":101369,"å¹¼åĦ¿":101370,"å§ij":101371,"æĪĴ":101372,"ä¸ĭçļĦ":101373,"渡":101374,"å¹´åºķ":101375,"è®°å¿Ĩ":101376,"åIJIJ":101377,"大å¹ħ":101378,"å¾½":101379,"åħ¬ä¼Ĺ":101380,"ä¿¡å¿ĥ":101381,"çİĽ":101382,"ä¼ļä¸Ĭ":101383,"ä¹Ķ":101384,"æijĦå½±":101385,"æ£ĭçīĮ":101386,"éĻķ":101387,"åºĶæĢ¥":101388,"æĶ¶è´¹":101389,"æݧèĤ¡":101390,"仪å¼ı":101391,"çŀ¬":101392,"æīĢåľ¨":101393,"碰":101394,"å§ĵ":101395,"é¡Į":101396,"æĶ¯éĥ¨":101397,"使åij½":101398,"çĤī":101399,"å¯Ħ":101400,"翼":101401,"åľ°ä¸ĭ":101402,"è¾ŀ":101403,"俱":101404,"主æĮģ":101405,"è´§å¸ģ":101406,"æģ¨":101407,"èĤĮ":101408,"çĽĪ":101409,"éĶ»":101410,"å¿ĹæĦ¿":101411,"类似":101412,"æĮĸ":101413,"éĢ»":101414,"總":101415,"纪念":101416,"åķ¥":101417,"弯":101418,"åIJįåŃĹ":101419,"åģ¥èº«":101420,"çļĦå¿ĥ":101421,"驱":101422,"èĥĮåIJİ":101423,"æ³ķå¸Ī":101424,"ç²Ĵ":101425,"èĥ½éĩı":101426,"è¾°":101427,"èī³":101428,"å½¼":101429,"段æŶéĹ´":101430,"åIJĪæ³ķ":101431,"æĵ¦":101432,"ç¾½":101433,"åݨ":101434,"æĪij说":101435,"äºĭåĬ¡":101436,"åĩłå¤©":101437,"åħģ":101438,"ç¼´":101439,"åįĵ":101440,"两ç§į":101441,"çĭ¬çī¹":101442,"帶":101443,"éĴ»":101444,"æĥ©":101445,"é¢ĨåħĪ":101446,"è¶³å¤Ł":101447,"壳":101448,"æĦıåij³çĿĢ":101449,"åĪĨå¸ĥ":101450,"ä¹ĥ":101451,"éģĭ":101452,"佩":101453,"è°±":101454,"çģ£":101455,"èį¡":101456,"贯彻":101457,"å¹¾":101458,"ç£ģ":101459,"åħ¸åŀĭ":101460,"åīĩ":101461,"åĨ»":101462,"æ¬ł":101463,"ä¸įä¹ħ":101464,"浦":101465,"éŃħ":101466,"å¼ĢäºĨ":101467,"使çĶ¨èĢħ":101468,"è¿Ļ款":101469,"å°Ī":101470,"èĦ±è´«":101471,"æĶ»åĿļ":101472,"ç®Ĺæĺ¯":101473,"ç¨Ģ":101474,"æĹłäºº":101475,"åłµ":101476,"å¥ı":101477,"éĥ½å¸Ĥ":101478,"åı¯è§ģ":101479,"ä¸įåĩº":101480,"æ·»":101481,"äºı":101482,"ç¾İ好":101483,"èĥĸ":101484,"飵":101485,"æłĩå¿Ĺ":101486,"èĬĤèĥ½":101487,"æĬ«":101488,"å°º":101489,"寸":101490,"ä¸Ģ代":101491,"é¢Ĺ":101492,"èĢ¶":101493,"èĴ¸":101494,"åĸ®":101495,"滿":101496,"çĮľ":101497,"æµĨ":101498,"åŁĥ":101499,"åįĥä¸ĩ":101500,"èµĮ":101501,"èģ²":101502,"ä½ľé£İ":101503,"質":101504,"寨":101505,"年人":101506,"åį°è±¡":101507,"桶":101508,"æĴ¤":101509,"åįģäºĶ":101510,"æ¯ħ":101511,"沪":101512,"åĽ½æľī":101513,"大éĩıçļĦ":101514,"御":101515,"å¯ĵ":101516,"è¦ĸ":101517,"æ¼Ĥ亮":101518,"çľł":101519,"çĤŃ":101520,"é»İ":101521,"èĻ¹":101522,"åĪ©äºļ":101523,"èŃī":101524,"æµı":101525,"åįģåħ«":101526,"丢":101527,"è¾½":101528,"æľīä¸ĢäºĽ":101529,"æħĪ":101530,"åģľè½¦":101531,"å®ł":101532,"解æĶ¾":101533,"æľīå¤ļ":101534,"éĤĬ":101535,"常è§ģ":101536,"æĬ¹":101537,"纤":101538,"親":101539,"æ¡Ĩ":101540,"èİŀ":101541,"æ°§åĮĸ":101542,"è¿Ļ件":101543,"åĩ°":101544,"æŁ´":101545,"åıijçĶµ":101546,"é¼ł":101547,"转åĮĸ":101548,"å¨ĥ":101549,"æĮ¤":101550,"罩":101551,"å¯ĨåĪĩ":101552,"æĪijä¸į":101553,"é«ĺæĸ°":101554,"ä¸Ģç¯ĩ":101555,"è¿Ľç¨ĭ":101556,"è¡°":101557,"è¿ĺä¸į":101558,"çħĮ":101559,"æĸ°åįİ":101560,"èĤ¿":101561,"滩":101562,"ä¸Ģæµģ":101563,"è¯Ī":101564,"å®ŀä½ĵ":101565,"å¤ĸåĽ½":101566,"躲":101567,"èµł":101568,"覺":101569,"æ¢Ŀ":101570,"ä¸įè§ģ":101571,"è¨Ĭ":101572,"åĮ¹":101573,"åįµ":101574,"çĩ¥":101575,"æħķ":101576,"齿":101577,"å®´":101578,"饼":101579,"èij¡èIJĦ":101580,"å°ıå¿ĥ":101581,"æģ¼":101582,"éĻĮ":101583,"æĺĤ":101584,"åĥ¹":101585,"èĬĿ":101586,"æ¯ı个人":101587,"åīįæıIJ":101588,"ä½ĵä¼ļ":101589,"æ¨Ļ":101590,"æIJľçĭIJ":101591,"对åħ¶":101592,"丧":101593,"èľĤ":101594,"浸":101595,"調":101596,"åĿª":101597,"é¢ĸ":101598,"åIJį为":101599,"笼":101600,"èĪĮ":101601,"æľ¬ä¹¦":101602,"èģ¯":101603,"纺":101604,"ç®Ģ缴":101605,"éĽ¢":101606,"ç¾İçļĦ":101607,"éļ¨":101608,"é«ĺå³°":101609,"è¿Ļ家":101610,"åĤ¬":101611,"å°¸":101612,"ç¡ķ士":101613,"èŃ·":101614,"è°¨":101615,"æĺı":101616,"æĶ¿åįı":101617,"è¡Ķ":101618,"ç¿Ĵ":101619,"åľĴ":101620,"åĽ½æ°ij":101621,"主è§Ĵ":101622,"è£ķ":101623,"伪":101624,"åºŀ":101625,"æ°ijèIJ¥":101626,"æĥ§":101627,"ç§ĺ书":101628,"çĹķ":101629,"çĻ¾åĪĨ":101630,"溶":101631,"æĹłçĸij":101632,"çļĦçľ¼":101633,"æĵİ":101634,"ä¼Łå¤§":101635,"å½°":101636,"åħ¬å®īå±Ģ":101637,"ç³ķ":101638,"å¼¥":101639,"åĤĻ":101640,"ä¹¾":101641,"毫ä¸į":101642,"注æĺİ":101643,"åī¯æĢ»":101644,"æĦī":101645,"æķ¦":101646,"馨":101647,"æĶĢ":101648,"éĢĿ":101649,"åı¯éĿł":101650,"夸":101651,"åľĺ":101652,"éĿ¢ä¸Ĭ":101653,"æĬĸ":101654,"èĦĨ":101655,"é©°":101656,"ä¼IJ":101657,"妨":101658,"å®ļäºĨ":101659,"ç³Ĭ":101660,"æŃ¡":101661,"éĥ¨éķ¿":101662,"ç§ī":101663,"èĪĨ":101664,"åĪijäºĭ":101665,"åIJµ":101666,"æ¤Ĵ":101667,"è¡ĵ":101668,"豫":101669,"èı©":101670,"åѵ":101671,"饲":101672,"就好":101673,"åłª":101674,"ä¸īè§Ĵ":101675,"åľºæ¯ĶèµĽ":101676,"ä¸įåģľ":101677,"æĵħ":101678,"åħ¨æĸĩ":101679,"æ³ģ":101680,"åѦä½į":101681,"æ±°":101682,"éłĺ":101683,"åıł":101684,"éļĽ":101685,"å¸IJ":101686,"çľĭåĩº":101687,"åĮł":101688,"å±ĢéĿ¢":101689,"æ³Į":101690,"è°Ĭ":101691,"åIJĮæľŁ":101692,"æĬķæłĩ":101693,"奴":101694,"æĿ¥çľĭçľĭ":101695,"èĦ¾":101696,"èŀº":101697,"æŃī":101698,"çĽ¯":101699,"ç¨İåĬ¡":101700,"å»Ĭ":101701,"æİ©":101702,"æħ¨":101703,"çĽ¼":101704,"èĬĴ":101705,"è®Ģ":101706,"æĮ£":101707,"èĮħ":101708,"æĸ¥":101709,"æ¤ħ":101710,"åĪ°æĿ¥":101711,"èijĹä½ľ":101712,"çĭ±":101713,"äºĮæīĭ":101714,"ä»İæĿ¥":101715,"çĸ²":101716,"åºĬä¸Ĭ":101717,"æĸ°æµª":101718,"æ³Ħ":101719,"å¢ŀåĢ¼":101720,"丼":101721,"æļij":101722,"ä»İä¸ļ":101723,"æ·ĭ":101724,"å¤ļæł·":101725,"æľ´":101726,"份é¢Ŀ":101727,"æŀ£":101728,"西çľģ":101729,"æľ¬è´¨":101730,"深深":101731,"èīĩ":101732,"绵":101733,"产åĢ¼":101734,"æ¼ł":101735,"èħ»":101736,"çŃĽ":101737,"åİĮ":101738,"æģŃ":101739,"å«Įçĸij":101740,"æĪ¶":101741,"æ»ŀ":101742,"èĨĢ":101743,"åĬ£":101744,"座è°Ī":101745,"常æĢģ":101746,"çļĦæĥħ":101747,"覽":101748,"å¯Ĥ":101749,"åĮĨ":101750,"èĩº":101751,"顯":101752,"çķı":101753,"éģ£":101754,"åįľ":101755,"çŃīå¥ĸ":101756,"責":101757,"溯":101758,"éİ":101759,"çĤ¹å¤´":101760,"èĵ¬":101761,"決":101762,"éħ¬":101763,"éģĬ":101764,"è³¼":101765,"註åĨĬ":101766,"æľ¬æĬ¥":101767,"çµķ":101768,"æ´»æĢ§":101769,"åħij":101770,"éĮ¯":101771,"åĨ¶":101772,"åĸ»":101773,"æºĸ":101774,"èĤ¢":101775,"æºĥ":101776,"æŬ":101777,"åīĬ":101778,"çIJĨäºĭ":101779,"å±ł":101780,"沧":101781,"èļĢ":101782,"鼻åŃIJ":101783,"为æŃ¢":101784,"常å§Ķ":101785,"çµĤ":101786,"éĬ·":101787,"çĭĢ":101788,"ä¾£":101789,"èĥĢ":101790,"èŃ°":101791,"çĶ¨è½¦":101792,"åĻª":101793,"æŃ·":101794,"åįĶ":101795,"åĪ¹":101796,"ç«Łæĺ¯":101797,"é©Ĺ":101798,"èIJĿ":101799,"çĻ«":101800,"çĹ«":101801,"æѧ":101802,"å¼Ĭ":101803,"媽":101804,"çıĬ":101805,"è¡·":101806,"éľī":101807,"åŁºçĿ£":101808,"éļ±":101809,"æ°¨":101810,"绸":101811,"å°¼æĸ¯":101812,"çĥĺ":101813,"æľŁåĨħ":101814,"è°ħ":101815,"éĽĩ":101816,"éļĻ":101817,"åĸī":101818,"åī¥":101819,"çĹĺ":101820,"æĮ½":101821,"çĵ£":101822,"æ¹Ľ":101823,"樱":101824,"æ¾İ":101825,"æ¹ĥ":101826,"åĨ¬å¥¥":101827,"棵":101828,"å®°":101829,"åŀĴ":101830,"æ§ĭ":101831,"ä¾Ī":101832,"èĮĦ":101833,"åĺ¿":101834,"èıĩ":101835,"çĻĤ":101836,"åĬĥ":101837,"éį":101838,"èĶ½":101839,"çŀŃ":101840,"æķŀ":101841,"ä¹ĸ":101842,"飧":101843,"è¾ľ":101844,"æĩĪ":101845,"ä½£":101846,"çŀ»":101847,"åŁĶ":101848,"èĪħ":101849,"å®ŀäºĭ":101850,"é¨":101851,"姥":101852,"絡":101853,"åĺ»":101854,"çķ¢":101855,"æ²ĥå°Ķ":101856,"è¿Ħ":101857,"èĤĩ":101858,"æħij":101859,"ã§":101860,"äı":101861,"ðł":101862,"ð¬ĩ":101863,"ð«Ń":101864,"ð«IJ":101865,"ã³":101866,"©½":101867,"ð«ł":101868,"ãĽ":101869,"ð¬į":101870,"é¿":101871,"ð¬Ĵ":101872,"ãĻ":101873,"ð¬¤":101874,"ð¬´":101875,"ð«ĸ":101876,"ð¤":101877,"ã¬":101878,"ä²":101879,"ð«Ķ":101880,"ð«ļ":101881,"è¦ģæ±Ĥ":101882,"ä¸ĢäºĽ":101883,"å®ŀçİ°":101884,"èĢĮä¸Ķ":101885,"åĽłæѤ":101886,"çĶ±äºİ":101887,"åħ³äºİ":101888,"çĦ¶åIJİ":101889,"æݨåĬ¨":101890,"ä¸Ģæł·":101891,"æĮīçħ§":101892,"è¿Ļæł·çļĦ":101893,"å½¢æĪIJ":101894,"æľīäºĽ":101895,"æĽ´åĬł":101896,"ç»ıè¿ĩ":101897,"建议":101898,"æ²»çĸĹ":101899,"ä½łä»¬":101900,"æīįèĥ½":101901,"ä¿ĥè¿Ľ":101902,"åijĺå·¥":101903,"ä½ĵéªĮ":101904,"èĪĩ":101905,"åģļ好":101906,"ä¿Ŀè¯ģ":101907,"æķ´ä¸ª":101908,"æĺ¯ä¸Ģ个":101909,"éĩĩçĶ¨":101910,"çIJĨ论":101911,"æ¯Ķå¦Ĥ":101912,"ä¸ĬçļĦ":101913,"æݨèįIJ":101914,"çĶ³è¯·":101915,"天空":101916,"éĥ¨èIJ½":101917,"åįģåĪĨ":101918,"æĿ¥èĩª":101919,"ä¹ĭéĹ´":101920,"è°ĥæķ´":101921,"æ¯ı天":101922,"è°ĥæŁ¥":101923,"æĤ£èĢħ":101924,"è¿ĩç¨ĭä¸Ń":101925,"é¦Ļ港":101926,"广åijĬ":101927,"éĿ¢å¯¹":101928,"满足":101929,"éķ¿æľŁ":101930,"è§ĦèĮĥ":101931,"æķ´ä½ĵ":101932,"æĶ¹åıĺ":101933,"æĻºæħ§":101934,"å¦Īå¦Ī":101935,"å¦Ĥä»Ĭ":101936,"åIJĪåIJĮ":101937,"éĥ½ä¼ļ":101938,"åĦ¿ç«¥":101939,"åĩıå°ij":101940,"éŁ³ä¹IJ":101941,"ç»ı常":101942,"ä¸Ĭå¸Ĥ":101943,"ä¼ĺç§Ģ":101944,"çļĦéĩįè¦ģ":101945,"ä¸ĢæĿ¡":101946,"æµ·å¤ĸ":101947,"åı¦å¤ĸ":101948,"ä¸Ģ家":101949,"åİĭåĬĽ":101950,"大åŀĭ":101951,"çľĭçĿĢ":101952,"åĪĢ":101953,"幸ç¦ı":101954,"æݨ广":101955,"åIJĽ":101956,"å¾IJ":101957,"æī¾åĪ°":101958,"äºİæĺ¯":101959,"èĩªèº«":101960,"ä¸Ģä½į":101961,"åľŁåľ°":101962,"åĬłåħ¥":101963,"æݢ索":101964,"æ¢ģ":101965,"主åĬ¨":101966,"å°±ä¸ļ":101967,"女æĢ§":101968,"çªģçł´":101969,"ä¸įåIJĮçļĦ":101970,"è¿IJè¾ĵ":101971,"èĩªçĶ±":101972,"å±ħæ°ij":101973,"æŃ¤æ¬¡":101974,"çļĦæŶéĹ´":101975,"家éķ¿":101976,"ä¸Ģ个人":101977,"æ£Ģæµĭ":101978,"åĨħéĥ¨":101979,"广å·ŀ":101980,"缴æĴŃ":101981,"ä»İèĢĮ":101982,"贷款":101983,"åı¬å¼Ģ":101984,"æĶ¹éĢł":101985,"人çĶŁ":101986,"å±ķ示":101987,"æ¯ıå¹´":101988,"女人":101989,"çļĦæĸ¹å¼ı":101990,"æķĪçİĩ":101991,"å±±ä¸ľ":101992,"æ¸łéģĵ":101993,"ä¼¼ä¹İ":101994,"æ¡Ī件":101995,"åĪ©çĽĬ":101996,"çľĭçľĭ":101997,"å¿ĥéĩĮ":101998,"ç»´æĬ¤":101999,"å®Ŀå®Ŀ":102000,"ç½ijä¸Ĭ":102001,"论åĿĽ":102002,"å°±åı¯ä»¥":102003,"ä¸į足":102004,"æģ¢å¤į":102005,"å¸ĥå±Ģ":102006,"è´¡çĮ®":102007,"ä¸ĭéĻį":102008,"æİĮæı¡":102009,"çļ®èĤ¤":102010,"å·¥åħ·":102011,"éĩįåºĨ":102012,"åĵģè´¨":102013,"æݨåĩº":102014,"çĶ·äºº":102015,"æī¿æĭħ":102016,"çªģåĩº":102017,"èĢĮè¨Ģ":102018,"æ²Ł":102019,"åįıè°ĥ":102020,"æĺ¯ä»Ģä¹Ī":102021,"汤":102022,"æĴij":102023,"çĭ¬ç«ĭ":102024,"çݯèĬĤ":102025,"æī©å¤§":102026,"æ´ª":102027,"æĿ°":102028,"çĽIJ":102029,"ä»ģ":102030,"æ¶īåıĬ":102031,"èĢģ人":102032,"åį³ä½¿":102033,"åįĹ京":102034,"éħįåIJĪ":102035,"鬼":102036,"çĪ¶äº²":102037,"ç½Ĺæĸ¯":102038,"å°ıåĮº":102039,"æķĻæİĪ":102040,"åĨ³çŃĸ":102041,"é¢Ħ计":102042,"æľ¬äºº":102043,"伯":102044,"竹":102045,"åĪ°åºķ":102046,"å¸Ĥæ°ij":102047,"åĩºåı£":102048,"éĩĩè´Ń":102049,"æĢ»ç»ĵ":102050,"æѦæ±ī":102051,"åĬłå¤§":102052,"å¹¿ä¸ľ":102053,"æµģç¨ĭ":102054,"人åı£":102055,"å¦Ĥæŀľä½ł":102056,"åĩºåİ»":102057,"åĩī":102058,"åĨľæ°ij":102059,"çݰ象":102060,"åĬĽåº¦":102061,"ç»ĻäºĪ":102062,"åħļå§Ķ":102063,"è¯Ńè¨Ģ":102064,"线ä¸Ĭ":102065,"æĢİæł·":102066,"åĦ¿åŃIJ":102067,"ç¡®å®ŀ":102068,"ä¹ĭå¤ĸ":102069,"éĥ½åľ¨":102070,"èī¾":102071,"çļĦæĥħåĨµ":102072,"éĩĮçļĦ":102073,"åĽ´ç»ķ":102074,"æĽ´å¤ļçļĦ":102075,"ä¾Ŀæ³ķ":102076,"åħ¬åĽŃ":102077,"家éĩĮ":102078,"æ¯į亲":102079,"ä¸įåĨį":102080,"èĭ¹":102081,"æ³ķéĻ¢":102082,"éŁ©åĽ½":102083,"缸å½ĵ":102084,"ä¸įçŁ¥":102085,"è¯Ħä¼°":102086,"ä¸įçĶ¨":102087,"顺åĪ©":102088,"éĩįè§Ĩ":102089,"è´¢åĬ¡":102090,"ä»ĸåĢij":102091,"åıijè¡Į":102092,"ä¸ĵéŨ":102093,"åħ·å¤ĩ":102094,"并ä¸įæĺ¯":102095,"足çIJĥ":102096,"éŀĭ":102097,"åıij表":102098,"æ°¸è¿ľ":102099,"èIJ¥åħ»":102100,"éħįå¥Ĺ":102101,"æķ´åIJĪ":102102,"è´º":102103,"åĽŀçŃĶ":102104,"æĶ¶çĽĬ":102105,"ä¹Łè®¸":102106,"è»Ĭ":102107,"æݥ触":102108,"æĶ»åĩ»":102109,"åĽĽå·Ŀ":102110,"æĢ§èĥ½":102111,"åĽŀåĪ°":102112,"èħ°":102113,"ä¹Łæ²¡æľī":102114,"å¼Ħ":102115,"设ç«ĭ":102116,"éĺ²æݧ":102117,"æĬĢå·§":102118,"éĢļ常":102119,"è´¢æĶ¿":102120,"éĥ¨ç½²":102121,"åľºæĻ¯":102122,"æ±Łèĭı":102123,"表达":102124,"åĸ·":102125,"女åĦ¿":102126,"èĪ¶":102127,"給":102128,"ä¼ļåijĺ":102129,"æĪĸ许":102130,"亩":102131,"举æĸ¹":102132,"天津":102133,"è¿ijå¹´":102134,"çľĭæĿ¥":102135,"æ¯Ķä¾ĭ":102136,"岩":102137,"éĵľ":102138,"çİ»":102139,"å®ŀéªĮ":102140,"æĢĿç»´":102141,"æĭħå¿ĥ":102142,"æ²Ī":102143,"身边":102144,"æ·±åĮĸ":102145,"ç²¾åĩĨ":102146,"ç§ģæľį":102147,"æ¶Īéĺ²":102148,"åİ»äºĨ":102149,"ç»Ĩèĥŀ":102150,"çIJĥéĺŁ":102151,"æĺİæĺŁ":102152,"é£Łçī©":102153,"å¾Īå¿«":102154,"è®©ä½ł":102155,"ä¿¡çĶ¨":102156,"åĶ¯ä¸Ģ":102157,"åħ¶å®ĥ":102158,"çŃīæĸ¹éĿ¢":102159,"å¾ĭå¸Ī":102160,"æŃ»äº¡":102161,"æŁ³":102162,"ä¸Ģæī¹":102163,"ä¸Ĭ涨":102164,"æľºåľº":102165,"å½¢åĬ¿":102166,"æĦ¿æĦı":102167,"éĽĨä½ĵ":102168,"æĸ°åŀĭ":102169,"æįŁå¤±":102170,"æĽ¸":102171,"ä¸ĭåįĪ":102172,"æ¯ı次":102173,"æĪIJå°±":102174,"åħ¬è·¯":102175,"èĻ«":102176,"åĴ±":102177,"西å®ī":102178,"æľĢä½³":102179,"ç§ijçłĶ":102180,"å¤įæĿĤ":102181,"æľºåĻ¨":102182,"çĪ±æĥħ":102183,"çħ§çīĩ":102184,"å¹´é¾Ħ":102185,"è³ĩæĸĻ":102186,"ç²Ĺ":102187,"åĩĨç¡®":102188,"åĬłä¸Ĭ":102189,"åĩºçīĪ":102190,"è°IJ":102191,"家å±ħ":102192,"èĥĮæĻ¯":102193,"ä¸Ģ线":102194,"äºĭ项":102195,"åĬ¨ä½ľ":102196,"祥":102197,"æĢ»ä½ĵ":102198,"æĪ¿åŃIJ":102199,"ä¹Łå°±æĺ¯":102200,"大æ¦Ĥ":102201,"é«ĺæķĪ":102202,"åIJ¹":102203,"æİĪæĿĥ":102204,"éĻĦè¿ij":102205,"æ¡Īä¾ĭ":102206,"éĹ¹":102207,"çĪ¸çĪ¸":102208,"彩票":102209,"æĢĴ":102210,"举æĬ¥":102211,"æĻ®éģį":102212,"çķĻä¸ĭ":102213,"è¡£æľį":102214,"æĹłè®ºæĺ¯":102215,"åħħ满":102216,"深度":102217,"æ¡ij":102218,"æĪªèĩ³":102219,"带æĿ¥çļĦ":102220,"éĻµ":102221,"æĦŁæĥħ":102222,"èµļ":102223,"åĵªäºĽ":102224,"æķ´æĶ¹":102225,"æĪIJçĨŁ":102226,"å¨ľ":102227,"é¼»":102228,"磼":102229,"çĽ¾":102230,"好好":102231,"ç¬¬åĽĽ":102232,"åĨłåĨĽ":102233,"è´¢å¯Į":102234,"æľĢ好çļĦ":102235,"车åŀĭ":102236,"éĸĢ":102237,"åį³å°Ĩ":102238,"åĪĨ为":102239,"éĿĴå²Ľ":102240,"纷纷":102241,"ä»ĬæĹ¥":102242,"平衡":102243,"å¹³æĸ¹ç±³":102244,"éĤ£ç§į":102245,"åĩºçĶŁ":102246,"éĿĴæĺ¥":102247,"人群":102248,"人工":102249,"ä¹ĭä¸ĭ":102250,"æ¹ĸåĮĹ":102251,"åľ¨æѤ":102252,"åįļ士":102253,"æŶåĪ»":102254,"æ²³åĮĹ":102255,"æĶ¾å¼ĥ":102256,"éĢļéģĵ":102257,"森æŀĹ":102258,"çĸĨ":102259,"æķ¸":102260,"èĬ³":102261,"æīĵåĩ»":102262,"æĽ¹":102263,"åĮĸåѦ":102264,"æĥ³è±¡":102265,"ä¸ĩ人":102266,"è´¢ç»ı":102267,"åħĥç´ł":102268,"ä¼ļ计":102269,"åħ¨ä½ĵ":102270,"æĦĽ":102271,"é«ĺä¸Ń":102272,"æľºéģĩ":102273,"å£°éŁ³":102274,"æĹħè¡Į":102275,"浩":102276,"æŁ±":102277,"å°ijå¹´":102278,"åĽ½å¤ĸ":102279,"èijĹåIJį":102280,"çĶŁåŃĺ":102281,"å§ľ":102282,"带é¢Ĩ":102283,"é¢ľèī²":102284,"ä¸Ĭä¸ĭ":102285,"产ä¸ļéĵ¾":102286,"æĽ´å¥½çļĦ":102287,"å²Ń":102288,"ä¼ĺæĥł":102289,"便æĺ¯":102290,"åħ§å®¹":102291,"ä¸Ģåıª":102292,"çIJ´":102293,"梦æĥ³":102294,"秣èµģ":102295,"å¼ĢåIJ¯":102296,"è´Ńçī©":102297,"åĮħåIJ«":102298,"åĪ©çİĩ":102299,"èµ·äºĨ":102300,"æľīåĬĽ":102301,"éĤ£éĩĮ":102302,"审æī¹":102303,"对æīĭ":102304,"çİ°éĩij":102305,"天çĦ¶":102306,"çĽĴ":102307,"çĪ½":102308,"å¿ħçĦ¶":102309,"åĮĸå·¥":102310,"ä¸ĵåĪ©":102311,"åķ¡":102312,"å¼Ģå¿ĥ":102313,"人ä½ĵ":102314,"éģĵ士":102315,"æĢģ度":102316,"空è°ĥ":102317,"æĭĽåķĨ":102318,"姻":102319,"第äºĶ":102320,"æ£Ĵ":102321,"ä¸Ģç³»åĪĹ":102322,"åį±æľº":102323,"转åıĺ":102324,"åľºæīĢ":102325,"鸣":102326,"æĪ¿éĹ´":102327,"éĢ¼":102328,"è¯ķçĤ¹":102329,"对å¤ĸ":102330,"åĩºåı°":102331,"åľ¨è¿Ļ":102332,"åİĤ家":102333,"巨大":102334,"ç®Ģä»ĭ":102335,"çľĭäºĨ":102336,"åħļ建":102337,"æĮĩæĮ¥":102338,"çŁ³æ²¹":102339,"ä¸įåı¯èĥ½":102340,"èݲ":102341,"ä¸į太":102342,"åĪĽæĦı":102343,"第ä¸Ģ个":102344,"è´µå·ŀ":102345,"è¿ĩäºĨ":102346,"æľ¬æĿ¥":102347,"éģĵå¾·":102348,"çŃĶæ¡Ī":102349,"éĻ¶":102350,"ä¸Ģè·¯":102351,"èĤĸ":102352,"æ¸ħæ´ģ":102353,"æľīæľº":102354,"åIJįåįķ":102355,"æĿ±":102356,"åij¼åIJ¸":102357,"ä¸Ī":102358,"ç¦ı建":102359,"è¯ķéªĮ":102360,"å¼ķåıij":102361,"ä¹Łæ²¡":102362,"ä¸įä½ı":102363,"çĨŁæĤī":102364,"èIJ¬":102365,"ä¸įèī¯":102366,"çłĸ":102367,"èĩ´åĬĽ":102368,"çŃ¾è®¢":102369,"åIJĬ":102370,"侯":102371,"çĺ¦":102372,"å§ijå¨ĺ":102373,"æĸ¤":102374,"妻åŃIJ":102375,"æĺ¥èĬĤ":102376,"çĪ¬":102377,"æĽĿ":102378,"çĥŃæĥħ":102379,"éķ¿æ²Ļ":102380,"èIJ¥éĢł":102381,"éħ·":102382,"éĵĿ":102383,"åŁºæľ¬ä¸Ĭ":102384,"åij¨åĽ´":102385,"ä»Ģ麼":102386,"认åı¯":102387,"åĪĨåŃIJ":102388,"ä¸Ģæĸ¹éĿ¢":102389,"è½´":102390,"å¼·":102391,"马ä¸Ĭ":102392,"éĽ¾":102393,"èĩ£":102394,"å°¿":102395,"çĶŁæĦı":102396,"å®īå¾½":102397,"ç¥ŀç»ı":102398,"åĩºå¸Ń":102399,"èį¯åĵģ":102400,"çIJĨçĶ±":102401,"åįıåIJĮ":102402,"æµģåĬ¨":102403,"åıijåĬ¨":102404,"åĿļå®ļ":102405,"表æĺİ":102406,"åIJİéĿ¢":102407,"ä¹īåĬ¡":102408,"å¦ĸ":102409,"æľīåı¯èĥ½":102410,"年轻人":102411,"大éĻĨ":102412,"å²³":102413,"ä¸įèµ·":102414,"çŀ¬éĹ´":102415,"ä¸įå¾Ĺä¸į":102416,"çŃ¾çº¦":102417,"åIJĪæł¼":102418,"åħļæĶ¯éĥ¨":102419,"æµİåįĹ":102420,"便åĪ©":102421,"éļıæŶ":102422,"å¥ī":102423,"称为":102424,"产æĿĥ":102425,"åIJķ":102426,"çĽĨ":102427,"课åłĤ":102428,"ç·ļ":102429,"æ£ī":102430,"线ä¸ĭ":102431,"èĩªè¡Į":102432,"举æݪ":102433,"åݦéŨ":102434,"èĩªä¿¡":102435,"å½±è§Ĩ":102436,"ä»Ķ":102437,"çĶŁæ´»ä¸Ń":102438,"æĿĥçĽĬ":102439,"çĻ½èī²":102440,"å°±ä¸į":102441,"è¿Ľå±ķ":102442,"æ¯ıæĹ¥":102443,"ä¾Ľç»Ļ":102444,"æĿĥåĪ©":102445,"æĹłæķ°":102446,"çIJĨè´¢":102447,"ä¾Ŀæŧ":102448,"ä¸ĬåįĪ":102449,"è¯ĨåĪ«":102450,"çĽĪåĪ©":102451,"çłĤ":102452,"许åı¯":102453,"åIJĮäºĭ":102454,"åĺĽ":102455,"éģ¸":102456,"çĿĢåĬĽ":102457,"éŨåı£":102458,"ä¸įå¤ļ":102459,"åħ¶æ¬¡":102460,"碧":102461,"çī©çIJĨ":102462,"åĨħå¿ĥ":102463,"çĻ¾å§ĵ":102464,"æĢ»ç»Ł":102465,"å¹²åĩĢ":102466,"积累":102467,"åıįé¦Ī":102468,"æłijç«ĭ":102469,"社交":102470,"秩":102471,"åįģä¸Ģ":102472,"éĤĵ":102473,"驱åĬ¨":102474,"å±ķè§Ī":102475,"èĪĴéĢĤ":102476,"åŁºåĽł":102477,"å·®å¼Ĥ":102478,"转让":102479,"å°ıå§IJ":102480,"æł·åŃIJ":102481,"ç¿Ķ":102482,"é«ĺåħ´":102483,"å½±åĵįåĬĽ":102484,"æīĭç»Ń":102485,"缸åIJĮ":102486,"缸åºĶ":102487,"æĻĴ":102488,"è§Ģ":102489,"å¸Ĥå§Ķ":102490,"èĬ¯":102491,"å±ķçİ°":102492,"åľ°çIJĥ":102493,"éĤª":102494,"ä¸Ģå®ļçļĦ":102495,"åħģ许":102496,"ä¿¡ä»»":102497,"æīij":102498,"éĻ¢æł¡":102499,"ç®Ģ称":102500,"åģļæ³ķ":102501,"ä¹ĭè·¯":102502,"æĹĹä¸ĭ":102503,"èħĶ":102504,"æ¶Ī失":102505,"ä¸ĸçķĮä¸Ĭ":102506,"åŁİ乡":102507,"èĪŀåı°":102508,"å¾Ī大çļĦ":102509,"绣çŃ¹":102510,"åħ¬å¹³":102511,"èĤ¾":102512,"çļĦ好":102513,"æ±ģ":102514,"çľ¼åīį":102515,"éĽ£":102516,"å¹½":102517,"åħ±äº§":102518,"主åĬŀ":102519,"å¤Ħç½ļ":102520,"åºĻ":102521,"éģĵçIJĨ":102522,"å¼µ":102523,"æİ¥çĿĢ":102524,"çĮİ":102525,"çģĮ":102526,"çĶ±æѤ":102527,"人åĬĽ":102528,"æµģè¡Į":102529,"ä¾ł":102530,"åı¯ä»¥è¯´":102531,"èĴĭ":102532,"å½¢æĢģ":102533,"æĹ¥åŃIJ":102534,"æ¼Ĩ":102535,"çķĻåѦ":102536,"缸éĹľ":102537,"æľĢå¤ļ":102538,"åĩŃåĢŁ":102539,"åħ¬äº¤":102540,"æĮĸæİĺ":102541,"æĿĤå¿Ĺ":102542,"主人":102543,"éļľç¢į":102544,"æł¡éķ¿":102545,"æĸ¹ä½į":102546,"ä¸ĬçıŃ":102547,"å¤ļåħĥ":102548,"èĥģ":102549,"éŃħåĬĽ":102550,"èĮĤ":102551,"åħħçĶµ":102552,"强大":102553,"çĥ¤":102554,"å¥ĭæĸĹ":102555,"å®ŀçĶ¨":102556,"éĺģ":102557,"ç»ĻäºĨ":102558,"æľ¬ç§ij":102559,"æłĭ":102560,"æĭ¨":102561,"æķĻç»ĥ":102562,"éĥ½çŁ¥éģĵ":102563,"æ¯ķä¸ļçĶŁ":102564,"ç¢Ĺ":102565,"åŀĤ":102566,"讼":102567,"å®ģæ³¢":102568,"åѦèĢħ":102569,"谢谢":102570,"åŁİéķĩ":102571,"æĢİä¹ĪåĬŀ":102572,"éģĶ":102573,"æĪIJ交":102574,"æ½ľåĬĽ":102575,"åį§":102576,"æĸ°å¼Ģ":102577,"éħįå¤ĩ":102578,"主åĬĽ":102579,"åij³éģĵ":102580,"çĥĤ":102581,"é£ŀè¡Į":102582,"å«ģ":102583,"大大":102584,"ç»Ļ大家":102585,"å¤ĸéĿ¢":102586,"éĨī":102587,"åıijè¨Ģ":102588,"æĹ©é¤IJ":102589,"åIJĦèĩª":102590,"å®Ļ":102591,"èį£èªī":102592,"æĬ«éľ²":102593,"é¡ŀ":102594,"åĨħçļĦ":102595,"èĤª":102596,"è¾IJ":102597,"æ³µ":102598,"æĬĽ":102599,"æĺŁæľŁ":102600,"ä¸Ģ带":102601,"çĶŁç´ł":102602,"ç»ıéĶĢ":102603,"åĩ¶":102604,"åľ°ä¸Ĭ":102605,"åij½è¿IJ":102606,"åĵ²":102607,"ä¸Ĭåİ»":102608,"æĸĩçī©":102609,"è¯ij":102610,"æĮ¯åħ´":102611,"éķ¿æŶéĹ´":102612,"ç¥Ń":102613,"åIJĪèĤ¥":102614,"è¿Ŀè§Ħ":102615,"èģª":102616,"ä½İäºİ":102617,"éĢĤå½ĵ":102618,"æľīåºı":102619,"æľ¬ç½ij":102620,"çķĻè¨Ģ":102621,"æĥ³æ³ķ":102622,"çŃ¾ç½²":102623,"å§ļ":102624,"æĢ§æł¼":102625,"èĴĻåı¤":102626,"æŁı":102627,"åŀ«":102628,"åѦåİĨ":102629,"ä»ħä»ħ":102630,"讲è¯Ŀ":102631,"éĶIJ":102632,"æĢĸ":102633,"åīª":102634,"èĭį":102635,"åIJĵ":102636,"强çĥĪ":102637,"åģ¥åħ¨":102638,"çĸ¯":102639,"åı¤ä»£":102640,"å¥Ī":102641,"ä¸įçĦ¶":102642,"乡éķĩ":102643,"æľĭåıĭ们":102644,"åĤħ":102645,"èģ½":102646,"个æĢ§":102647,"æ³ķè§Ħ":102648,"å°ıéķĩ":102649,"çĶ»éĿ¢":102650,"第åħŃ":102651,"網路":102652,"åīįæĻ¯":102653,"åIJ¬è¯´":102654,"ä¼łåªĴ":102655,"æĿ¡ä¾ĭ":102656,"åĪ«çļĦ":102657,"ä¸įæĩĤ":102658,"顾éĹ®":102659,"强度":102660,"éĺ¿éĩĮ":102661,"èµ°åĬ¿":102662,"帽":102663,"çļĦç¡®":102664,"åĮºåĪ«":102665,"éĮ¢":102666,"主管":102667,"ä¸Ģçľĭ":102668,"æĸľ":102669,"åŃĺåľ¨çļĦ":102670,"仲":102671,"åį±å®³":102672,"éĵŃ":102673,"游æĪıä¸Ń":102674,"éħ±":102675,"é¾Ļ头":102676,"人å¿ĥ":102677,"éĢĢä¼ij":102678,"æµıè§Ī":102679,"åĬ«":102680,"éĺ²æ²»":102681,"ç®Ń":102682,"å±Ī":102683,"è¾½å®ģ":102684,"壤":102685,"è¿İæĿ¥":102686,"éŀį":102687,"çĶ¨æĿ¥":102688,"å¤§åľ°":102689,"ä»°":102690,"éĢļ讯":102691,"å¼Ģå·¥":102692,"裤":102693,"å¦ĤåIJĮ":102694,"骤":102695,"éĺŁåijĺ":102696,"轩":102697,"ç¾İæľ¯":102698,"èĻŁ":102699,"åIJĮä¸Ģ":102700,"åľĸ":102701,"书æ³ķ":102702,"æīĵåį°":102703,"åIJ«æľī":102704,"éĽĨæĪIJ":102705,"éĹ·":102706,"å¸Ĥåľºä¸Ĭ":102707,"æĹģè¾¹":102708,"åľ°æĿ¿":102709,"产çĶŁçļĦ":102710,"粤":102711,"éĩįç»Ħ":102712,"è¡Ģ液":102713,"çŃĭ":102714,"åĬŀäºĭ":102715,"常è§ģçļĦ":102716,"ä¸ĬåįĬå¹´":102717,"å±ıå¹ķ":102718,"åIJīæŀĹ":102719,"å·©":102720,"åĸľçĪ±":102721,"ç¿ł":102722,"ä¸īç§į":102723,"æ¡Ĩæŀ¶":102724,"举èİŀ":102725,"çĶĺèĤĥ":102726,"èĬ¬":102727,"åĽ¾ä¹¦":102728,"åĩ¤åĩ°":102729,"æ°ĶåĢĻ":102730,"å°´":102731,"å°¬":102732,"两天":102733,"è¾ħ导":102734,"åĢŁæ¬¾":102735,"æĹ¥èµ·":102736,"æ´Ĵ":102737,"ä¸Ģ度":102738,"è¹Ī":102739,"æ½Ń":102740,"æīĩ":102741,"çĻľ":102742,"æĸ°åħ´":102743,"åĤ²":102744,"诸å¤ļ":102745,"è´ª":102746,"éĻ·åħ¥":102747,"èĪŁ":102748,"èĤºçĤİ":102749,"ä¸Ģæł·çļĦ":102750,"åİĺ":102751,"åľ°çIJĨ":102752,"æĬķ注":102753,"éļĬ":102754,"åħīä¼ı":102755,"ä¿Ŀåģ¥":102756,"åħĶ":102757,"åħ¬åĬ¡":102758,"æīĵçł´":102759,"çĶ·åŃ©":102760,"åĬ³åĬ¡":102761,"ä½łä¼ļ":102762,"çĶ¨åľ°":102763,"溢":102764,"åıijè¾¾":102765,"èĤļ":102766,"è¿ĩäºİ":102767,"èĩĤ":102768,"éĢĻ樣":102769,"轻轻":102770,"ä¸Ńåħ±":102771,"åIJĦåĽ½":102772,"åĶĩ":102773,"å®ŀä¹ł":102774,"èĻ¾":102775,"槽":102776,"ä¸įä¸Ĭ":102777,"åħįçĸ«":102778,"åįłæį®":102779,"å·¥ä¼ļ":102780,"åĽĬ":102781,"èĪªå¤©":102782,"åı¯çĪ±":102783,"æĸĹäºī":102784,"çĺ¤":102785,"å¦Ĥæľī":102786,"éĽĸ":102787,"对æĪij":102788,"åĩºç§Ł":102789,"好çľĭ":102790,"太大":102791,"æ°´åĪ©":102792,"åĬ¿åĬĽ":102793,"åħ¨æ°ij":102794,"ç½¢":102795,"èµ¢å¾Ĺ":102796,"çĶµä¿¡":102797,"车éĹ´":102798,"æĻĤåĢĻ":102799,"å°ijæķ°":102800,"éĵ¸":102801,"åħ³èģĶ":102802,"ä¸įä»ħä»ħ":102803,"为æĤ¨":102804,"åĴ¸":102805,"æľºåĬ¨":102806,"è£Ļ":102807,"åĵįåºĶ":102808,"éģł":102809,"è²·":102810,"ç©´":102811,"å¢ħ":102812,"éĶ¡":102813,"çµĦ":102814,"çģ«è½¦":102815,"è³ĩè¨Ĭ":102816,"åĨ³èµĽ":102817,"污水":102818,"èªŀ":102819,"å´Ľ":102820,"ç´§å¯Ĩ":102821,"缺å°ij":102822,"å¤ļ人":102823,"æĢ»ä¹¦è®°":102824,"éĶĪ":102825,"èijĽ":102826,"å¿ĺè®°":102827,"éĻĮçĶŁ":102828,"éķ¿å¤§":102829,"åħĪè¿ĽçļĦ":102830,"ç¡ħ":102831,"åıijæĺİ":102832,"å©´åĦ¿":102833,"æīİå®ŀ":102834,"èĽĭçĻ½":102835,"ä¸ĢçĻ¾":102836,"缮åħī":102837,"æħĮ":102838,"åĬłæ²¹":102839,"åIJŀ":102840,"ä¸Ģ群":102841,"ä¸Ńä»ĭ":102842,"å¸ĸ":102843,"å¿Į":102844,"èģĮèĥ½":102845,"广æĴŃ":102846,"çĽijå¯Ł":102847,"ç§ĺå¯Ĩ":102848,"çĭ®":102849,"è¿ĻæĿ¡":102850,"éĢ¢":102851,"æĢ¨":102852,"åįģåħŃ":102853,"試":102854,"说åĪ°":102855,"åĩĿèģļ":102856,"æĮĩ示":102857,"æ°¢":102858,"å¼ĺ":102859,"éĺĢ":102860,"æĸ©":102861,"éłħ":102862,"ä¸Ģå¼Ģå§ĭ":102863,"æİĴè¡Į":102864,"åľ¨æĪij":102865,"纪å½ķ":102866,"æĬĦ":102867,"æłª":102868,"说æ³ķ":102869,"ä¸Ńèį¯":102870,"好å¤ļ":102871,"åıªä¸įè¿ĩ":102872,"çķĻåľ¨":102873,"个å°ıæŶ":102874,"è®¤çŁ¥":102875,"çķ«":102876,"è§ģè¿ĩ":102877,"å°ıå¾®":102878,"ä½Ľå±±":102879,"çľ¾":102880,"讲述":102881,"梳":102882,"称åı·":102883,"æĹ¥æĻļ":102884,"è¢ĸ":102885,"åķ¤":102886,"æľªç»ı":102887,"æľĢæĹ©":102888,"æī®æ¼Ķ":102889,"è¡Ģ管":102890,"纱":102891,"æĥħèĬĤ":102892,"第ä¸ĥ":102893,"æį§":102894,"ä»Ĺ":102895,"æ¿ĢçĥĪ":102896,"æĹłçº¿":102897,"ä¸į容æĺĵ":102898,"å¼Ģå¹ķ":102899,"æĸ°çĶŁ":102900,"ä¸ĵ注":102901,"èij±":102902,"åįĹæµ·":102903,"çĩŁ":102904,"èµ·ä¾Ĩ":102905,"æ´¾åĩº":102906,"åĦĴ":102907,"侨":102908,"è¼ĥ":102909,"åįļè§Ī":102910,"éĢ¾":102911,"åĮĢ":102912,"ç»ıæµİåѦ":102913,"æ¸Ĺ":102914,"ä¿ĿèŃ·":102915,"çīº":102916,"çī²":102917,"çİ«":102918,"çij°":102919,"æľĢåIJİä¸Ģ":102920,"æĶ¿åĬ¡":102921,"æ§Ľ":102922,"èĻķçIJĨ":102923,"éļIJæĤ£":102924,"æī¿åĮħ":102925,"極":102926,"æ¡©":102927,"çĽ²":102928,"导åIJij":102929,"èĩ´å¯Į":102930,"ç¼Ĩ":102931,"æģĭçĪ±":102932,"ä¸įåĬ¨":102933,"ç»Ļ人":102934,"å·¢":102935,"表æĥħ":102936,"举åįĹ":102937,"åĨħå¤ĸ":102938,"è¾ĪåŃIJ":102939,"åıī":102940,"åįļä¼ļ":102941,"åĬŁæķĪ":102942,"渴":102943,"屬":102944,"æİĴéĻ¤":102945,"éĢĽ":102946,"ä¸Ģä¼ļ":102947,"ä¸įå¼Ģ":102948,"å¼Ģå¥ĸ":102949,"é»ijé¾Ļ":102950,"é»ijé¾Ļæ±Ł":102951,"å¿«ä¸ī":102952,"度åģĩ":102953,"åĿ¤":102954,"éĤ®ä»¶":102955,"æĩĴ":102956,"ä¾ĽçĶµ":102957,"廣":102958,"好è¯Ħ":102959,"ç§ĺ书éķ¿":102960,"æĪĺåľº":102961,"好å¥ĩ":102962,"ä¾µæĿĥ":102963,"æĨ¾":102964,"æľĢåĪĿ":102965,"æī¹åıij":102966,"åİķ":102967,"è¼ķ":102968,"æŀ¯":102969,"ä¸ļåĨħ":102970,"è´ŃæĪ¿":102971,"ä¸įåľ¨":102972,"纪å§Ķ":102973,"æīĢéľĢ":102974,"å¸Ĥéķ¿":102975,"è³½":102976,"å¼ķæĵİ":102977,"çģµéŃĤ":102978,"éĬĢ":102979,"滤":102980,"çĿIJ":102981,"å¤ļ项":102982,"åĽŀ头":102983,"èīĺ":102984,"å¤įå·¥":102985,"éĥ¨ä»¶":102986,"紧紧":102987,"æŁIJç§į":102988,"使åħ¶":102989,"æĸ°äºº":102990,"æŀļ":102991,"æ³ķå®ļ":102992,"å·´å·´":102993,"涵çĽĸ":102994,"稻":102995,"æĭ¾":102996,"æĻķ":102997,"轿":102998,"éĢļè¡Į":102999,"åĵĢ":103000,"æ³Ĭ":103001,"温馨":103002,"éĽĨèģļ":103003,"çĨĻ":103004,"åĩij":103005,"åįģä¸ĥ":103006,"æ°Ķæģ¯":103007,"æıIJä¾ĽçļĦ":103008,"æ³³":103009,"奥è¿IJ":103010,"çģ¾å®³":103011,"åĩĢåĮĸ":103012,"è·¨è¶Ĭ":103013,"åĵªæĢķ":103014,"éŁ¿":103015,"å¢ŀæ·»":103016,"çĦĬ":103017,"æ®ĭçĸ¾":103018,"ç¢Į":103019,"æĤĶ":103020,"è§ģè¯ģ":103021,"è¾ĸåĮº":103022,"å¿ĥèĦı":103023,"éļ§":103024,"åį¸":103025,"åı¯èĥ½æĢ§":103026,"æľī趣":103027,"åī¯ä¹¦è®°":103028,"åĮĸå¦Ĩ":103029,"ä¿Ĥ":103030,"æ£ļ":103031,"éĨĩ":103032,"带头":103033,"éłĪ":103034,"追究":103035,"æijĶ":103036,"è¿Ļéĥ¨":103037,"ä¸į论":103038,"祸":103039,"å³»":103040,"éģķ":103041,"çĶŁèĤ²":103042,"å¤ł":103043,"å¤ĸ交":103044,"è¯Ħ为":103045,"ä»İå°ı":103046,"å°ıå°ı":103047,"饿":103048,"æĴ¼":103049,"è·¨å¢ĥ":103050,"被åijĬ":103051,"åįĹå®ģ":103052,"身å¿ĥ":103053,"åĨįçĶŁ":103054,"æīĢ说":103055,"æŶéĹ´åĨħ":103056,"åĪĹåħ¥":103057,"éĿĴæµ·":103058,"çĪ±å¥½":103059,"çªĦ":103060,"èĪĪ":103061,"è¿ĩ渡":103062,"æ¿Ł":103063,"éĽĢ":103064,"审议":103065,"åĽ½èµĦ":103066,"æŃ¥ä¼IJ":103067,"轨éģĵ":103068,"信念":103069,"ä¸īåĪĨ":103070,"çĨ¬":103071,"åѵåĮĸ":103072,"ç¼ł":103073,"éĥĬ":103074,"èĪĴæľį":103075,"纪æ£Ģ":103076,"ä¸Ģä¸ĭåŃIJ":103077,"éĽ»è©±":103078,"è²ł":103079,"éĴ¥":103080,"åĮĻ":103081,"çĹ´":103082,"è¶ģ":103083,"绣":103084,"çĪµ":103085,"è½°":103086,"éªĦ":103087,"姨":103088,"æĭĺ":103089,"çĮ´":103090,"讶":103091,"è¿Ļ座":103092,"çį¨":103093,"æ·ĺæ±°":103094,"çĹħä¾ĭ":103095,"æ²Ļåıij":103096,"è§Ĩ为":103097,"头æĿ¡":103098,"å¿ħè¦ģçļĦ":103099,"åı¯è°ĵ":103100,"è¯Ŀ说":103101,"ç¯Ħ":103102,"æĹ©çĤ¹":103103,"æŀ¢çº½":103104,"羡":103105,"çĪ±åĽ½":103106,"çªģåıij":103107,"éĢĬ":103108,"æ½į":103109,"èį£èĢĢ":103110,"èŁ¹":103111,"æ¦Ĥçİĩ":103112,"å¾Īä¹ħ":103113,"æĥķ":103114,"訴":103115,"åľĨ满":103116,"çļ±":103117,"åĪĨæ³Į":103118,"åħħ足":103119,"çľĭæ³ķ":103120,"è¾Ł":103121,"æĭ¦":103122,"æĭ©":103123,"对åºĶ":103124,"ä¸ºæł¸å¿ĥ":103125,"èħĬ":103126,"å¤ļä¹Ī":103127,"æµij":103128,"å®ıè§Ĥ":103129,"èĦĸ":103130,"åIJĪèµĦ":103131,"çĶŁæ¶¯":103132,"å®ŀè´¨":103133,"ä¼ĺçĤ¹":103134,"çĶ¨æ°´":103135,"寿åij½":103136,"沫":103137,"åIJģ":103138,"詹":103139,"åĽ½éĺ²":103140,"å´©":103141,"åĿİ":103142,"èĨı":103143,"ä¸Ģè½®":103144,"éģĹ产":103145,"æ¹¾åĮº":103146,"ç»İ":103147,"åįķ纯":103148,"æ¾Ħ":103149,"åīįåĪĹ":103150,"身影":103151,"é»ĺé»ĺ":103152,"æįī":103153,"çĴ°":103154,"èıĬ":103155,"æĢľ":103156,"åħĭæĢĿ":103157,"æĢ»å±Ģ":103158,"çĩĥæĸĻ":103159,"ä¸ļæĢģ":103160,"åIJĦæł·":103161,"åĴ½":103162,"åĩºèī²":103163,"åĪĿå¿ĥ":103164,"åıĽ":103165,"çłĶ讨":103166,"è¡«":103167,"åİĨç¨ĭ":103168,"禽":103169,"è¶³å¤ŁçļĦ":103170,"èįĨ":103171,"çľĭå¾ħ":103172,"è´©":103173,"åĨ³å¿ĥ":103174,"裹":103175,"å¸ĪèĮĥ":103176,"åŀĦ":103177,"æĿł":103178,"åĩ¸":103179,"çĬ¹è±«":103180,"çĥŃè¡Ģ":103181,"åIJĪä¼Ļ":103182,"éħµ":103183,"èIJ½åľ¨":103184,"åįłåľ°":103185,"衬":103186,"èĵī":103187,"æĦ¤":103188,"æ¸Ĭ":103189,"åĪĨæķ°":103190,"ç¬ijçĿĢ":103191,"太平":103192,"çĤ«":103193,"æݨä»ĭ":103194,"æĸ¯åĿ¦":103195,"形容":103196,"æĵĬ":103197,"æĦŁåħ´è¶£":103198,"åĨĽäºº":103199,"åĩĮæĻ¨":103200,"对çħ§":103201,"åıijçĹħ":103202,"å·¾":103203,"èĪī":103204,"檢":103205,"ç¬ijäºĨ":103206,"ç¡®è¯Ĭ":103207,"è´ŁåĢº":103208,"壮大":103209,"æĪļ":103210,"äºĴèģĶ":103211,"課":103212,"èħ¦":103213,"æű":103214,"åıĹ欢è¿İ":103215,"åįī":103216,"éĻ¢å£«":103217,"æ©¡":103218,"ä¸Ģ对":103219,"è¾±":103220,"æ²Ĥ":103221,"åı²ä¸Ĭ":103222,"æIJı":103223,"å´ĸ":103224,"代谢":103225,"磷":103226,"é¡ĺ":103227,"æµĩ":103228,"常çĶ¨":103229,"åįij":103230,"åĩºåĽ½":103231,"è¯ł":103232,"稳æŃ¥":103233,"ç»ı纪":103234,"å¤ļå¤ļ":103235,"æīĢå¾Ĺ":103236,"为主é¢ĺ":103237,"ä¸ĢåĪĨ":103238,"æł½":103239,"顧":103240,"纲":103241,"åĥħ":103242,"å£ĵ":103243,"åĦª":103244,"ç¿°":103245,"æİĢ":103246,"人为":103247,"媳":103248,"æ´½":103249,"èĿ¶":103250,"å¤įåħ´":103251,"ä¼ļå½±åĵį":103252,"åIJĦçķĮ":103253,"éĤ£ä¸Ģ":103254,"颤":103255,"çĢı":103256,"çĢı覽":103257,"å¯ŀ":103258,"åı¯æĢķ":103259,"åį³æŶ":103260,"çķ´":103261,"ä¸ĭåįĬå¹´":103262,"ç¬Ķè®°":103263,"éĻĦåĬł":103264,"çĥŃæ°´":103265,"奸":103266,"ç£ħ":103267,"æĿī":103268,"æ¸ħåįİ":103269,"éĸ±":103270,"ç°¡":103271,"å¤Ħå¤Ħ":103272,"åIJĪéĩij":103273,"æ²³æµģ":103274,"ç´°":103275,"è´ŁéĿ¢":103276,"çļĦ羣å®ŀ":103277,"åĻ¨æ¢°":103278,"èĴIJ":103279,"西äºļ":103280,"å·ħ":103281,"ç²¹":103282,"åİŁæĸĩ":103283,"æŀķ":103284,"è¡Ģåİĭ":103285,"åļ´":103286,"å¸ĺ":103287,"åĨĢ":103288,"æĮ«":103289,"çĶµè·¯":103290,"å°ıä¼Ļä¼´":103291,"èĿ´":103292,"æľĢå¿«":103293,"æĭĮ":103294,"宪":103295,"æĸ·":103296,"ç¿ħ":103297,"åĴ³":103298,"åĹ½":103299,"ç¾ŀ":103300,"èººåľ¨":103301,"èµĽè½¦":103302,"æ²IJ":103303,"éĻIJ度":103304,"为ä¸Ģä½ĵ":103305,"èĴľ":103306,"幫":103307,"æIJħ":103308,"åĭĭ":103309,"åīĸ":103310,"纳ç¨İ":103311,"éķ¿æķĪ":103312,"ç½ķ":103313,"åī¯æľ¬":103314,"ç©į":103315,"éĴ©":103316,"ç¹¼":103317,"åĽ½åľŁ":103318,"è¼ī":103319,"ä¸įå¿ĺ":103320,"èŃ¦ç¤º":103321,"çģ¿":103322,"å¿ĥå¾Ĺ":103323,"æĦļ":103324,"忽çķ¥":103325,"åĽŀäºĭ":103326,"åįłæľī":103327,"æ·Ħ":103328,"çī¡":103329,"çĽijäºĭ":103330,"ç¿¡":103331,"éĴĪ对æĢ§":103332,"çªĥ":103333,"製":103334,"èĨĿ":103335,"ç³Ł":103336,"港澳":103337,"太太":103338,"澡":103339,"ç»ĨåĮĸ":103340,"åĶ®åIJİ":103341,"å®ŀåľ¨æĺ¯":103342,"ç«£":103343,"çį²":103344,"åĢ¾åIJij":103345,"å¼ķçĶ¨":103346,"é¹ħ":103347,"ç¬ij容":103348,"ä¹IJ趣":103349,"æ°ijæĶ¿":103350,"éŨæĪ·":103351,"å±ģ":103352,"迷失":103353,"éĶĮ":103354,"å°ı康":103355,"åĭī":103356,"æ³¼":103357,"ä¾ĭåŃIJ":103358,"ä¸īä½į":103359,"å»ł":103360,"èĶĵ":103361,"广éĺĶ":103362,"èĢį":103363,"èĢģèĻİ":103364,"åĭŁéĽĨ":103365,"èĦļæŃ¥":103366,"æĭ¯":103367,"åŃĹåı·":103368,"çĦ°":103369,"é¢ł":103370,"èļĤ":103371,"èļģ":103372,"飯":103373,"人æĢ§":103374,"æĴ°":103375,"åİ¢":103376,"å±ĢéĻIJ":103377,"æľªæĪIJ":103378,"åĵªåĦ¿":103379,"大åıij":103380,"ä¸įå®ļ":103381,"å¾ģæ±Ĥ":103382,"éĥµ":103383,"åĢºæĿĥ":103384,"çĪ±ä½ł":103385,"èºģ":103386,"ä»ħä¾Ľ":103387,"è¿ľå¤Ħ":103388,"éĨĽ":103389,"åĥµ":103390,"积æŀģæĢ§":103391,"æİ¡":103392,"åīįä¸ī":103393,"äºİä¸Ģä½ĵ":103394,"çŀĦ":103395,"çĿģ":103396,"沸":103397,"åħ±èµ¢":103398,"éĢĢå½¹":103399,"è´Ŀå°Ķ":103400,"æİı":103401,"æĪ²":103402,"è¡į":103403,"éĶĤ":103404,"ä¸ĩä½Ļ":103405,"ç§ijåĪĽ":103406,"æ¼ĶåĶ±":103407,"欧åħĥ":103408,"æ·¡æ·¡":103409,"éĿĴå±±":103410,"èĹĿ":103411,"绽":103412,"令çīĮ":103413,"éĽĨ群":103414,"ä½ľçī©":103415,"çĢij":103416,"夯":103417,"ç½ij游":103418,"åħ«å¤§":103419,"éªļ":103420,"èªĵ":103421,"ä¼ļå±ķ":103422,"åħļåı²":103423,"æ£Ģå¯ŁéĻ¢":103424,"åĸĺ":103425,"éĺ±":103426,"èĢĮåĩº":103427,"éĢļ车":103428,"éĴĵ":103429,"æĥħ人":103430,"æ¸Ľ":103431,"ä¸Ńç§ĭ":103432,"çĪŃ":103433,"åıªåī©":103434,"æĺĶ":103435,"éĩİçĶŁ":103436,"ç¡«":103437,"èIJĿåįľ":103438,"æĬµæĬĹ":103439,"çĻ«çĹ«":103440,"éĻĢ":103441,"èĶļ":103442,"å¸ľ":103443,"满满":103444,"èı±":103445,"éļĨéĩį":103446,"æĺŁçº§":103447,"æ½ĩ":103448,"åħ¬åħĥ":103449,"è°£":103450,"æ¯Ķäºļ":103451,"æ¡ĮåŃIJ":103452,"èµ£":103453,"è²¼":103454,"æĦ¿æľĽ":103455,"顽":103456,"æ´¾éģ£":103457,"ç¥Ľ":103458,"åªļ":103459,"éĺľ":103460,"èij«":103461,"èĬ¦":103462,"æ³»":103463,"å¡Į":103464,"çĭŃ":103465,"å»īæĶ¿":103466,"å¥ijæľº":103467,"æĹĹèĪ°":103468,"æĥ«":103469,"严åİī":103470,"åıĭæĥħ":103471,"å¦Ĭ":103472,"å¨ł":103473,"åĵªå®¶":103474,"èĨ¨":103475,"è¶Ł":103476,"æĮª":103477,"èĻIJ":103478,"éłģ":103479,"çŀ©":103480,"éºŁ":103481,"稣":103482,"èģĶéĢļ":103483,"åı®":103484,"çİĭèĢħ":103485,"ä¸įç¡®å®ļ":103486,"çijľ":103487,"è°İ":103488,"çī¢è®°":103489,"碼":103490,"æĬ¤èĤ¤":103491,"é¡·":103492,"çĦķ":103493,"åģļ强":103494,"éļ±ç§ģ":103495,"éļ±ç§ģæ¬Ĭ":103496,"åıĹ害":103497,"ä¸įçĶ±":103498,"çĥ¹":103499,"饪":103500,"驳":103501,"ä¼½":103502,"ä¸Ŀ绸":103503,"è¥Ħ":103504,"åįģä½Ļ":103505,"éºĹ":103506,"æ¬ĬåĪ©":103507,"èģŀ":103508,"åı¤èĢģ":103509,"éģı":103510,"åIJĦå¼ı":103511,"å°±è¡Į":103512,"åħ¥å¢ĥ":103513,"çĥģ":103514,"èľĺ":103515,"èĽĽ":103516,"纬":103517,"磫":103518,"è»Ł":103519,"æ´Ĺè¡£":103520,"æĦ§":103521,"é¢Ħæ¡Ī":103522,"éľĨ":103523,"æ·±åİļ":103524,"éĺ¿æĭī":103525,"åĨĻåŃĹ":103526,"åį¦":103527,"éķĢ":103528,"æ¨¡æł·":103529,"åĤį":103530,"æIJį":103531,"èĸ¯":103532,"åłħ":103533,"åħ¬ç§¯":103534,"è¨İ":103535,"ä¼łæŁĵ":103536,"毯":103537,"çIJĨå·¥":103538,"åĨ·éĵ¾":103539,"ç«ĭæĸ¹":103540,"æ¢Ń":103541,"åľ£è¯ŀ":103542,"综èīº":103543,"çİ©ç¬ij":103544,"æĥ³ä¸įåĪ°":103545,"æijĩ头":103546,"æ·¹":103547,"åģĩæĹ¥":103548,"åĢĺ":103549,"èĢ½":103550,"èİĵ":103551,"åŁ·":103552,"èĩªè´¸":103553,"åįĬ天":103554,"æªĶ":103555,"æ¾İæ¹ĥ":103556,"éķij":103557,"丫":103558,"éĩĮç¨ĭ":103559,"å¼ĢèįĴ":103560,"èıı":103561,"å®Ŀè´µ":103562,"èѬ":103563,"åķŁ":103564,"æŁł":103565,"檬":103566,"é©Ń":103567,"æ±Ľ":103568,"çĨĬçĮ«":103569,"èķī":103570,"éļıä¹ĭ":103571,"å±ij":103572,"è¾ĥ强":103573,"èĥ³":103574,"èĨĬ":103575,"éĿĻéĿĻ":103576,"åĴª":103577,"æĭĽåij¼":103578,"代è¨Ģ":103579,"ä¿¡ç®±":103580,"è£ħéħį":103581,"æĤį":103582,"åįķ车":103583,"èIJİ":103584,"å¤ļ彩":103585,"éĻ¸":103586,"ä»İ严":103587,"æ©Ħ":103588,"æ¦Ħ":103589,"éĢ®":103590,"éĩĮæĸ¯":103591,"姿æĢģ":103592,"太æŀģ":103593,"éĩĿ":103594,"æºī":103595,"è¿Ń":103596,"秸":103597,"ç§Ĩ":103598,"å·¥å§Ķ":103599,"æ±ķ":103600,"èģĨ":103601,"佬":103602,"ç¼ħ":103603,"çĶ¸":103604,"åī¯å±Ģéķ¿":103605,"éĹº":103606,"誤":103607,"è¤IJ":103608,"ä¸įéĻIJ":103609,"èħķ":103610,"åijķ":103611,"磶":103612,"åĨľå®¶":103613,"管å§Ķä¼ļ":103614,"饺":103615,"èĬľ":103616,"æ¾Ī":103617,"è©¢":103618,"å¨ģå°¼æĸ¯":103619,"ä½ķåĨµ":103620,"å°ıä¼Ļ":103621,"奢ä¾Ī":103622,"è¿Ļç¯ĩ":103623,"诵":103624,"ç«łç¨ĭ":103625,"ç´Ģ":103626,"éIJĺ":103627,"éĤ¢":103628,"ç³Ļ":103629,"ç¼Ģ":103630,"ä¹Ĵ":103631,"ä¹ĵ":103632,"çī¢åĽº":103633,"åĿŀ":103634,"å¼Ī":103635,"ä¾ĭå¤ĸ":103636,"廳":103637,"è§Ħç«ł":103638,"èĬĻ":103639,"篷":103640,"躯":103641,"æłĪ":103642,"åĿļå®ŀ":103643,"åŁºå»º":103644,"çĿĢçľ¼":103645,"ç·´":103646,"èij©":103647,"ç¼ļ":103648,"æ¦Ĩ":103649,"主åĭķ":103650,"ç¥Ģ":103651,"äºĴéĢļ":103652,"尤为":103653,"å®Ľ":103654,"骼":103655,"æ±²":103656,"ä¾ĥ":103657,"æĤłä¹ħ":103658,"æij§":103659,"æĭĩ":103660,"é«ĵ":103661,"éºĴ":103662,"éĻĽ":103663,"æŀ¸":103664,"æĿŀ":103665,"è´¬":103666,"å°ıé¾Ļ":103667,"åĵ®":103668,"èĵ¬åĭĥ":103669,"åĮĪ":103670,"çķľçī§":103671,"娩":103672,"个å¤ļ":103673,"æ²¥":103674,"æĺ§":103675,"çĦļ":103676,"æĬijéĥģ":103677,"çĸ¡":103678,"èĺij":103679,"éģİç¨ĭ":103680,"橱":103681,"éĿĵ":103682,"大çIJĨ":103683,"髦":103684,"åĪĨ辨":103685,"渤":103686,"çĸ¤":103687,"åĬ¨èĥ½":103688,"å¼łå®¶":103689,"ä¸ĩåįĥ":103690,"滥":103691,"饥":103692,"åºŁå¼ĥ":103693,"帳":103694,"æ¼³":103695,"è±IJ":103696,"ä»ij":103697,"å«ī":103698,"å¦Ĵ":103699,"çŀĴ":103700,"è¡ħ":103701,"çĭ¸":103702,"å¾ģç¨ĭ":103703,"éĤ¯":103704,"éĥ¸":103705,"ç¥Ī":103706,"祷":103707,"趴":103708,"ç»ĵæŀĦæĢ§":103709,"è§ĨåIJ¬":103710,"è¬Ŀ":103711,"çĴĢ":103712,"çĴ¨":103713,"åĩºå¤Ħ":103714,"è¯Ģ":103715,"å¾ĺ":103716,"å¾Ĭ":103717,"羨":103718,"åĸĩ":103719,"åıŃ":103720,"åĺ²":103721,"çķ¸":103722,"å¹²äºĭ":103723,"æļ§":103724,"æ²Ľ":103725,"åĦĦ":103726,"å»ĵ":103727,"åİ¿éķ¿":103728,"èĥļ":103729,"çIJ¢":103730,"çŃ·":103731,"éĩĭ":103732,"ä¾®":103733,"åIJ©":103734,"åĴIJ":103735,"åĮ¿":103736,"æĬ¬èµ·":103737,"æ³£":103738,"涤":103739,"麽":103740,"æĽĻ":103741,"åī¯éĻ¢éķ¿":103742,"åħļåĴĮ":103743,"æķ£åıij":103744,"润æ»ij":103745,"åĵº":103746,"æĥ¬":103747,"漫éķ¿":103748,"ä¸įæĩĪ":103749,"åŁł":103750,"åĹĵ":103751,"èĢģçĪ·":103752,"讽":103753,"æĪĺç»ĦåIJĪ":103754,"æ£ł":103755,"åħ¨åŁŁ":103756,"èł¢":103757,"诡":103758,"åīįçŀ»":103759,"æķĽ":103760,"ä¸Ģå°ģ":103761,"å¹Ĥ":103762,"èİĨ":103763,"è¯Ŀè¯Ń":103764,"ç»ĨåĪĻ":103765,"屿":103766,"åµĮ":103767,"éĢį":103768,"åĺ±":103769,"渲":103770,"çĥ¯":103771,"çĿ¹":103772,"é¦Ĵ":103773,"èħ¥":103774,"æĬĹåĩ»":103775,"çĿ«":103776,"èįĶ":103777,"éļİ":103778,"æ³īæ°´":103779,"è¬Ĥ":103780,"çĤ¬":103781,"åĩıæİĴ":103782,"è¸Ĭ":103783,"è·»":103784,"æ·Į":103785,"éľ¾":103786,"å¥ĩ纳":103787,"å¯Ŀ":103788,"æ¤İ":103789,"æŁ¬":103790,"æĸ¯åŁº":103791,"åħ¬ç«ĭ":103792,"è¨ĵ":103793,"é£Ļ":103794,"é©¿":103795,"åĤµ":103796,"èĽĻ":103797,"ç¯ĩç«ł":103798,"åĪĨæĶ¯":103799,"ä¸Ĭå¹´":103800,"çŃĿ":103801,"缤":103802,"èĢģæŧ":103803,"åĻ¬":103804,"æľ¦":103805,"èĥ§":103806,"æ¶Īè²»":103807,"æĵĶ":103808,"榴":103809,"æ¿Ĵ":103810,"糯":103811,"泸":103812,"æįĨ":103813,"ç»ļ":103814,"èµİ":103815,"çIJIJ":103816,"èµĤ":103817,"æħ®":103818,"æ²Į":103819,"çĦĻ":103820,"æĴŃæĬ¥":103821,"æ·ĩ":103822,"åĪĩåħ¥":103823,"çijķ":103824,"çĸµ":103825,"éģ´":103826,"ç¨ļ":103827,"ç©©":103828,"èŀĥ":103829,"æ£ķ":103830,"æĨ§":103831,"æĨ¬":103832,"伺":103833,"æ¯Ĺ":103834,"æįį":103835,"æĬī":103836,"ç´Ĭ":103837,"å¼Ľ":103838,"æĭŃ":103839,"æĹıèĩªæ²»":103840,"åĿ·":103841,"競":103842,"詳":103843,"è¿Ħä»Ĭ":103844,"è°´":103845,"çŀŃ解":103846,"æŁ¿":103847,"é¢Ĭ":103848,"ç°§":103849,"çĥŁèĬ±":103850,"ä¾¥":103851,"çĿ¦":103852,"éħĿ":103853,"æ°ĵ":103854,"çIJī":103855,"å§Ĭ":103856,"æ²®":103857,"æħ·":103858,"èľķ":103859,"çijļ":103860,"éĩĩçŁ¿":103861,"åł°":103862,"åºķèķ´":103863,"èĨ³":103864,"è¾ķ":103865,"éŁŃ":103866,"åĴĻ":103867,"ç²½":103868,"åīĶ":103869,"沦":103870,"èĤ´":103871,"éķ¶":103872,"æĺ¼":103873,"è¾Ĺ":103874,"婪":103875,"åĮ®":103876,"æĸĵ":103877,"汶":103878,"éĥ´":103879,"éł»":103880,"çªĴ":103881,"袱":103882,"åĽ±":103883,"èĢĺ":103884,"èļĮ":103885,"çĭĻ":103886,"çĹ¹":103887,"ç¥ī":103888,"æı®":103889,"æ·Ĩ":103890,"ç£ĭ":103891,"éĺª":103892,"æ«":103893,"ã¸":103894,"Ļ¶":103895,"ãij":103896,"ð£²":103897,"ä¢":103898,"ãŃ":103899,"ð¬¨":103900,"ð¬Ģ":103901,"ð¬®":103902,"ð¬¯":103903,"ð¬ľ":103904,"ðª¨":103905,"ð«Ĺ":103906,"ð¬Ĭ":103907,"ð¬±":103908,"ð¬Ł":103909,"äİ":103910,"ð¡":103911,"äĥ":103912,"ãł":103913,"ð©":103914,"ð©¾":103915,"ð¬º":103916,"ð¬Ļ":103917,"ãĢĶ":103918,"ãĢķ":103919,"çļĦæŶåĢĻ":103920,"æľīéĻIJåħ¬åı¸":103921,"ä¹ĭåIJİ":103922,"ä¸ļåĬ¡":103923,"åķĬ":103924,"èĻ½çĦ¶":103925,"æĭ¥æľī":103926,"äºĴèģĶç½ij":103927,"éĤ£äºĽ":103928,"ä½łçļĦ":103929,"åĨ³å®ļ":103930,"éĻ¤äºĨ":103931,"åĽ¢éĺŁ":103932,"åı¯æĺ¯":103933,"以åIJİ":103934,"社åĮº":103935,"çļĦéĹ®é¢ĺ":103936,"并ä¸Ķ":103937,"æķĻå¸Ī":103938,"å°±ä¼ļ":103939,"天空éĥ¨èIJ½":103940,"æľĢç»Ī":103941,"å½ĵçĦ¶":103942,"ä¹Łæľī":103943,"ç¡®ä¿Ŀ":103944,"æĥ³è¦ģ":103945,"è´Ńä¹°":103946,"人çļĦ":103947,"åIJ´":103948,"çļĦåıijå±ķ":103949,"ä¸įçŁ¥éģĵ":103950,"软件":103951,"æĪij们çļĦ":103952,"çĪ¶æ¯į":103953,"åīij":103954,"èĢĮæĺ¯":103955,"å®īæİĴ":103956,"åIJİæĿ¥":103957,"çļĦåľ°æĸ¹":103958,"èµµ":103959,"èĢĥè¯ķ":103960,"çªģçĦ¶":103961,"ä¸Ģå®ļè¦ģ":103962,"åĪ¶ä½ľ":103963,"è¯Ħä»·":103964,"åħįè´¹":103965,"è´¹çĶ¨":103966,"绣ä¸Ģ":103967,"çĦ¶èĢĮ":103968,"è¿Ļ次":103969,"éĿĴå¹´":103970,"人类":103971,"亦":103972,"让人":103973,"è´Łè´£äºº":103974,"éĩĩåıĸ":103975,"çļĦäºĭæĥħ":103976,"ä¹Łä¼ļ":103977,"车è¾Ĩ":103978,"æĽ´æĺ¯":103979,"强åĮĸ":103980,"æĪijåĢij":103981,"以åīį":103982,"ä¼ĺåĮĸ":103983,"å§Ķåijĺä¼ļ":103984,"åĽ°éļ¾":103985,"年度":103986,"ä½įäºİ":103987,"æĮĩåĩº":103988,"åĨį次":103989,"åĬŀçIJĨ":103990,"æ¯ı个":103991,"对æĸ¹":103992,"è¿Ľè¡ĮäºĨ":103993,"æľĢé«ĺ":103994,"课ç¨ĭ":103995,"身ä¸Ĭ":103996,"æĽ¾ç»ı":103997,"åĮ»çĶŁ":103998,"å®īè£ħ":103999,"æľ±":104000,"è¿IJè¡Į":104001,"åıĮæĸ¹":104002,"æľĢ大çļĦ":104003,"æŀĦ建":104004,"è¿ŀç»Ń":104005,"çļĦå°ı":104006,"她çļĦ":104007,"çŃīçŃī":104008,"æĶ¹åĸĦ":104009,"åIJĦç±»":104010,"éģĩåĪ°":104011,"æľīçĿĢ":104012,"人çī©":104013,"æĢ»æĺ¯":104014,"è¿ħéĢŁ":104015,"åĪ¶å®ļ":104016,"å®ĥ们":104017,"å®ĺç½ij":104018,"è¿ĺè¦ģ":104019,"ç»Īäºİ":104020,"æĪ¿åľ°äº§":104021,"è¯ģæĺİ":104022,"èĤ¡ç¥¨":104023,"åºĶå½ĵ":104024,"èĭ±åĽ½":104025,"è¿IJçĶ¨":104026,"æľĢæĸ°":104027,"享åıĹ":104028,"让æĪij":104029,"æĻļä¸Ĭ":104030,"å¾ŀ":104031,"å°ı说":104032,"å°¤åħ¶æĺ¯":104033,"è®Ńç»ĥ":104034,"åħ¨å¸Ĥ":104035,"æĮijæĪĺ":104036,"æľīçĤ¹":104037,"带çĿĢ":104038,"çļĦä¸ľè¥¿":104039,"é£İæł¼":104040,"é»Ħéĩij":104041,"å¼ķ导":104042,"æѤå¤ĸ":104043,"æľĢè¿ij":104044,"追æ±Ĥ":104045,"强è°ĥ":104046,"ä¹Łåı¯ä»¥":104047,"æĦŁåĪ°":104048,"èĩªæĪij":104049,"çī¹åĪ«æĺ¯":104050,"æĪIJéĥ½":104051,"éĢIJæ¸IJ":104052,"å¿«ä¹IJ":104053,"ä¹ĭä¸Ń":104054,"æĬķèµĦèĢħ":104055,"ä»ĸ们çļĦ":104056,"æ°ı":104057,"å·¥ä½ľäººåijĺ":104058,"äºĨä¸Ģ个":104059,"åķ¦":104060,"ä¸ĢåĢĭ":104061,"åŁºå±Ĥ":104062,"æ²ŁéĢļ":104063,"第ä¸Ģ次":104064,"并没æľī":104065,"çļĦå·¥ä½ľ":104066,"åľ¨è¿ĻéĩĮ":104067,"æŀª":104068,"æĶ¯æĴij":104069,"æŶå°ļ":104070,"æĿ¥åĪ°":104071,"æĶ¶è´Ń":104072,"éĿ©åij½":104073,"æĺ¯ä¸įæĺ¯":104074,"讨论":104075,"ä¸ļ绩":104076,"å°±èĥ½":104077,"ç«ĭåį³":104078,"è¡Ĺéģĵ":104079,"åľ¨ä¸Ģèµ·":104080,"æľĪ份":104081,"é«ĺ端":104082,"å¾Īéļ¾":104083,"ä¿Ħç½Ĺæĸ¯":104084,"æīĭ段":104085,"åģļåĩº":104086,"ä¼Ĺå¤ļ":104087,"å®ŀè¡Į":104088,"æīĵå¼Ģ":104089,"游客":104090,"ä¾ĿçĦ¶":104091,"å°±åĥı":104092,"离å¼Ģ":104093,"说éģĵ":104094,"æĸ°èĥ½æºIJ":104095,"溪":104096,"äºķ":104097,"令人":104098,"ä¸Ģåľº":104099,"æĪijæĥ³":104100,"两人":104101,"èĩ³å°ij":104102,"çļĦçĶŁæ´»":104103,"æĺ¯ä¸ª":104104,"èĭ±è¯Ń":104105,"æ²Ĵæľī":104106,"æĢĿèĢĥ":104107,"éĻIJåĪ¶":104108,"åı°æ¹¾":104109,"ä¸ĢæŦ":104110,"çļĦä¸Ģ个":104111,"é«ĺ级":104112,"åĬŀåħ¬å®¤":104113,"å¾·åĽ½":104114,"æĪijå°±":104115,"å®ļä½į":104116,"éĢĤåºĶ":104117,"æĮĩæłĩ":104118,"åħ¨çľģ":104119,"ä¸Ĭè¿°":104120,"å®ĥçļĦ":104121,"åĽŀ家":104122,"欧洲":104123,"éĵģè·¯":104124,"é¼ĵåĬ±":104125,"çļĦå½±åĵį":104126,"é«ĺæł¡":104127,"天ä¸ĭ":104128,"é«ĺè´¨éĩı":104129,"æĿŃå·ŀ":104130,"èµĦ讯":104131,"æĶ¾åľ¨":104132,"æľīä¸Ģ个":104133,"å°±è¦ģ":104134,"ä¸ĬéĿ¢":104135,"解éĩĬ":104136,"éĢIJæŃ¥":104137,"尽管":104138,"æľīä»Ģä¹Ī":104139,"çļĦäºĭ":104140,"çĻ»è®°":104141,"人æ°ijå¸ģ":104142,"è§Ĥä¼Ĺ":104143,"è§Ĥå¯Ł":104144,"çĶµèĦij":104145,"çļĦåIJĮæŶ":104146,"ä½ľä¸ļ":104147,"宣å¸ĥ":104148,"çļĦä½ľçĶ¨":104149,"åĽŀæĿ¥":104150,"éļ¾ä»¥":104151,"æīĢæľīçļĦ":104152,"å°ıåѦ":104153,"æıIJåīį":104154,"æ¤įçī©":104155,"åĩ¯":104156,"ä¸ĬäºĨ":104157,"å°±åľ¨":104158,"åħĪåIJİ":104159,"æīĭæľ¯":104160,"éĥŃ":104161,"éĿ¢åīį":104162,"æ¯ķç«Ł":104163,"äºĮæĺ¯":104164,"红èī²":104165,"éĺ³åħī":104166,"èĭ¹æŀľ":104167,"å¾Īå¤ļ人":104168,"ç»ĻæĪij":104169,"åĵ¦":104170,"çľ¼çĿĽ":104171,"éłŃ":104172,"ä¸Ģæĺ¯":104173,"åıijå±ķçļĦ":104174,"åıįåºĶ":104175,"æĪ¿å±ĭ":104176,"æľŁå¾ħ":104177,"ç§įæ¤į":104178,"æĸĩåѦ":104179,"åį³åı¯":104180,"é¦ĸ次":104181,"èĭ±éĽĦ":104182,"å¤ļ次":104183,"åĮħè£ħ":104184,"æ²³åįĹ":104185,"ä¹ĭéĹ´çļĦ":104186,"ä»įçĦ¶":104187,"åIJ¬åĪ°":104188,"èij£äºĭéķ¿":104189,"è§ĦåĪĻ":104190,"ä¸Ģ份":104191,"大ä¼Ĺ":104192,"使å¾Ĺ":104193,"è¿Ľåı£":104194,"ä¸Ģçīĩ":104195,"æĢ§çļĦ":104196,"çļĦ大":104197,"æĪijæĺ¯":104198,"äºĴåĬ¨":104199,"æ°£":104200,"çļĨ":104201,"åħ¬åı¸çļĦ":104202,"ä¸Ģè¾¹":104203,"åıĬåħ¶":104204,"èī¯å¥½çļĦ":104205,"æĭĵå±ķ":104206,"å½ĵå¹´":104207,"å¹¿åľº":104208,"åģļäºĨ":104209,"åŁºäºİ":104210,"æıIJéĨĴ":104211,"åħĦå¼Ł":104212,"èĢģæĿ¿":104213,"è¿ijæĹ¥":104214,"çĬ¶åĨµ":104215,"注éĩį":104216,"åĪļåĪļ":104217,"è°ĥçłĶ":104218,"å¿ĥä¸Ń":104219,"æĬĬæı¡":104220,"éļıåIJİ":104221,"ä¸įå¤Ł":104222,"åĪĽä½ľ":104223,"ç«Ļåľ¨":104224,"缸äºĴ":104225,"çĸ«æĥħéĺ²æݧ":104226,"年代":104227,"带åĬ¨":104228,"伤害":104229,"ç«ŁçĦ¶":104230,"å¼ķè¿Ľ":104231,"累计":104232,"让æĪij们":104233,"åĽŀæĶ¶":104234,"æĬ¥åIJį":104235,"åĬ©åĬĽ":104236,"èģĶ缣":104237,"çŃĸçķ¥":104238,"åij¨è¾¹":104239,"åĭĴ":104240,"è¿ĺåľ¨":104241,"æµģéĩı":104242,"寻æī¾":104243,"çĶµåĬĽ":104244,"èĪ¹èĪ¶":104245,"è¿ĺèĥ½":104246,"æĭħä»»":104247,"çļĦæĥħåĨµä¸ĭ":104248,"çļĦåİŁåĽł":104249,"缺ä¹ı":104250,"çIJĥåijĺ":104251,"å²ģçļĦ":104252,"çĶ·åŃIJ":104253,"å·¥èµĦ":104254,"è¿ijå¹´æĿ¥":104255,"åijĢ":104256,"æıIJä¾ĽäºĨ":104257,"她们":104258,"家åħ·":104259,"çĩķ":104260,"è½»æĿ¾":104261,"æł¡åĽŃ":104262,"èĢĥæł¸":104263,"åį±éĻ©":104264,"åħļç»Ħç»ĩ":104265,"æĢ»ç»ıçIJĨ":104266,"çļĦæĸ°":104267,"çİ»çĴĥ":104268,"è¿Ļä½į":104269,"对æѤ":104270,"家人":104271,"çļĦè¦ģæ±Ĥ":104272,"温度":104273,"æĮĩæķ°":104274,"缴åĪ°":104275,"æѤæŶ":104276,"æ¹ĸåįĹ":104277,"éĥ½è¦ģ":104278,"ä½ľåĩº":104279,"åIJĦä½į":104280,"èĢĥçĶŁ":104281,"ä¾Ŀæį®":104282,"说è¯Ŀ":104283,"æĪijä¹Ł":104284,"å·¥åİĤ":104285,"åıĺæĪIJ":104286,"ä»ĸ人":104287,"æĪijè§īå¾Ĺ":104288,"åIJĦ级":104289,"ä¼łå¥ĩç§ģæľį":104290,"ä¸Ĭåįĩ":104291,"好åĥı":104292,"åĬłéĢŁ":104293,"äºĮåįģ":104294,"è¢ģ":104295,"è£ħ饰":104296,"éĥ½èĥ½":104297,"ä¸Ģå¼ł":104298,"åĬ¨æĢģ":104299,"å¹´çļĦ":104300,"è¿Ļå°±æĺ¯":104301,"ä¹Łè¦ģ":104302,"èµĦæł¼":104303,"æĪĺäºī":104304,"æĦŁè°¢":104305,"åŁ¹èĤ²":104306,"天æ°Ķ":104307,"女士":104308,"åı¯èĥ½ä¼ļ":104309,"çļĦ产åĵģ":104310,"ä¹Łå°±":104311,"主è¦ģæĺ¯":104312,"åĪºæ¿Ģ":104313,"ç»Ļä½ł":104314,"大æķ°æį®":104315,"åĮ»åѦ":104316,"åĪ¤æĸŃ":104317,"ä»ĸ说":104318,"表æ¼Ķ":104319,"äºļæ´²":104320,"ä¸ĵé¢ĺ":104321,"ç«ŀäºīåĬĽ":104322,"éĤ£æł·":104323,"å±ķå¼Ģ":104324,"å¹³æŶ":104325,"æİ¥ä¸ĭæĿ¥":104326,"æī¿è¯º":104327,"æ³ķåĽ½":104328,"åħ³å¿ĥ":104329,"ä¼ļæľī":104330,"éĤĢ请":104331,"é¢Ħéĺ²":104332,"对æİ¥":104333,"好äºĨ":104334,"åĴ±ä»¬":104335,"çļĦæĦŁè§ī":104336,"æĢĿè·¯":104337,"éĥ½æ²¡æľī":104338,"çļĦæĸ¹æ³ķ":104339,"女åŃIJ":104340,"åı¸æ³ķ":104341,"è¿ĺä¼ļ":104342,"è¶ĬæĿ¥è¶Ĭå¤ļ":104343,"åĽłçĤº":104344,"æµ·åįĹ":104345,"人æķ°":104346,"å°Ĩä¼ļ":104347,"ä¸ļ主":104348,"é¤IJ饮":104349,"å±ħä½ı":104350,"åıijåĩº":104351,"è¿ijæľŁ":104352,"å¼ķé¢Ĩ":104353,"æľºåĻ¨äºº":104354,"åĩºæĿ¥çļĦ":104355,"çľĭè§ģ":104356,"ä¿Ĭ":104357,"让ä»ĸ":104358,"ä¸įæĥ³":104359,"å·¥ä½ľçļĦ":104360,"è¡¥åħħ":104361,"æµħ":104362,"çī¹å¾ģ":104363,"ä¸Ĭå¸Ĥåħ¬åı¸":104364,"ç¾İé£Ł":104365,"广西":104366,"æ¯ıä¸Ģ个":104367,"èIJ½åľ°":104368,"åĵģç§į":104369,"åĴĮè°IJ":104370,"å½»åºķ":104371,"é«ĺèĢĥ":104372,"æĺ¨å¤©":104373,"åīįå¾Ģ":104374,"çĽijæµĭ":104375,"çĻ¾åº¦":104376,"åľ¨ä¸ŃåĽ½":104377,"çļĦéľĢæ±Ĥ":104378,"亿ç¾İåħĥ":104379,"åŃ¦æľ¯":104380,"æĶ¶åĪ°":104381,"æĿ¿åĿĹ":104382,"ä¸Ģ段":104383,"æŀĦæĪIJ":104384,"ä¼ģä¸ļçļĦ":104385,"表éĿ¢":104386,"æķ´çIJĨ":104387,"ç»ĵå©ļ":104388,"人家":104389,"åģľæŃ¢":104390,"åѦç§ij":104391,"æĺ¾å¾Ĺ":104392,"ä¼ijæģ¯":104393,"é¢ĦæľŁ":104394,"æĪĸæĺ¯":104395,"çļĦ主è¦ģ":104396,"åºĶ对":104397,"èµ°äºĨ":104398,"ä¸ŃéĹ´":104399,"èµ°è¿Ľ":104400,"åijĪçİ°":104401,"æIJŃéħį":104402,"é¹ı":104403,"æĺ¯åĽłä¸º":104404,"æĥħ绪":104405,"å®ļæľŁ":104406,"社ä¼ļ主ä¹ī":104407,"çŃī级":104408,"çŁĽçĽ¾":104409,"é£ŀæľº":104410,"èĩ³ä»Ĭ":104411,"æĶ¶éĽĨ":104412,"çļĦæķħäºĭ":104413,"åĪĩå®ŀ":104414,"å®ŀçİ°äºĨ":104415,"å½¢æĪIJäºĨ":104416,"åįĹæĸ¹":104417,"ä¸ŃåѦ":104418,"æµ·æ´ĭ":104419,"åIJ¦åĪĻ":104420,"æĭįæijĦ":104421,"大åѦçĶŁ":104422,"åĩºçİ°äºĨ":104423,"æĦıå¤ĸ":104424,"ä¹Łèĥ½":104425,"çļĦèĥ½åĬĽ":104426,"åĿIJåľ¨":104427,"åĪĻæĺ¯":104428,"èĢĥå¯Ł":104429,"å°Ĭéĩį":104430,"éĺ²æŃ¢":104431,"ç´§å¼ł":104432,"读书":104433,"åĩºè¡Į":104434,"å°±æľī":104435,"å±¥è¡Į":104436,"çݰ代åĮĸ":104437,"åĽ½åĬ¡":104438,"åĽ½åĬ¡éĻ¢":104439,"ç»´ä¿®":104440,"åİŁåĪĽ":104441,"æĺ¯æĮĩ":104442,"ä¼ijéĹ²":104443,"çĤ®":104444,"æĸ°æĹ¶ä»£":104445,"éĢĻåĢĭ":104446,"ä¸įæķ¢":104447,"å®Įç¾İ":104448,"ç»ĨèĬĤ":104449,"éŃı":104450,"èĶ¬èıľ":104451,"é¢Ĩ导çıŃåŃIJ":104452,"è¶ħ级":104453,"è¡Įæĥħ":104454,"人工æĻºèĥ½":104455,"åį°åº¦":104456,"åŁºç¡Ģ设æĸ½":104457,"åıĪæĺ¯":104458,"èį¯çī©":104459,"åIJ¸æĶ¶":104460,"åį´æĺ¯":104461,"éĥİ":104462,"å¥ĸåĬ±":104463,"çļĦæľĭåıĭ":104464,"ä¿ĿçķĻ":104465,"è§Ħå¾ĭ":104466,"æĸ°çĸĨ":104467,"è¿ĺåı¯ä»¥":104468,"æİ¥è¿ij":104469,"æѤåīį":104470,"æī¹åĩĨ":104471,"æĢİä¹Īæł·":104472,"çļĦä½įç½®":104473,"ä¸ĢåĿĹ":104474,"æĭĴç»Ŀ":104475,"顾客":104476,"ä¹Łåľ¨":104477,"ä¸ĢçĶŁ":104478,"éĥ¨éĺŁ":104479,"å¹´åīį":104480,"æĸ¹éĿ¢çļĦ":104481,"å°Ŀè¯ķ":104482,"羣æŃ£çļĦ":104483,"ç¦ģæŃ¢":104484,"è¿ĺ没æľī":104485,"æ°ijçĶŁ":104486,"èµ°åIJij":104487,"èĦ¸ä¸Ĭ":104488,"å½ĵ天":104489,"éĽĨåĽ¢åħ¬åı¸":104490,"çļĦä¸Ģç§į":104491,"西æĸ¹":104492,"åĽŀåºĶ":104493,"ä¸Ģ声":104494,"常常":104495,"æıIJåĪ°":104496,"èħ¾è®¯":104497,"æľįè£ħ":104498,"为ä½ķ":104499,"äºijåįĹ":104500,"å°±ç®Ĺ":104501,"ä¼łæī¿":104502,"åıįèĢĮ":104503,"ä¸ĩåIJ¨":104504,"财产":104505,"å¦Ĥä¸ĭ":104506,"æĹ¥åīį":104507,"åİŁæľ¬":104508,"æľĢéĩįè¦ģçļĦ":104509,"认è¯ģ":104510,"ä¸Ģéģĵ":104511,"ä¿¡æģ¯åĮĸ":104512,"å¾ĹåĪ°äºĨ":104513,"éĢ²è¡Į":104514,"æĪijè¦ģ":104515,"éĢļä¿¡":104516,"室åĨħ":104517,"èµļéĴ±":104518,"æĶ¶èĹı":104519,"解åĨ³æĸ¹æ¡Ī":104520,"æĪ¿äº§":104521,"çĭ¼":104522,"æ´»åĬĽ":104523,"ç»ıæµİåıijå±ķ":104524,"çŃīå¾ħ":104525,"ä¹Łå¾Ī":104526,"åĿij":104527,"å¾Ī好çļĦ":104528,"éļ¾åº¦":104529,"ä¸įå¦Ĥ":104530,"人æ°ijæĶ¿åºľ":104531,"åĩºåıij":104532,"åīįæľŁ":104533,"æ¼Ķåijĺ":104534,"女çĶŁ":104535,"èģļçĦ¦":104536,"审计":104537,"é¢Ħæµĭ":104538,"ä¾Ŀæīĺ":104539,"äºĶå¹´":104540,"补贴":104541,"æ¸ħæĻ°":104542,"éªĤ":104543,"çľĭèµ·æĿ¥":104544,"çļĦåŃ©åŃIJ":104545,"é¢ijéģĵ":104546,"ä½ıå®ħ":104547,"éĿ¢åIJij":104548,"æľĢä½İ":104549,"æĹ¢çĦ¶":104550,"ä¸Ģå¥Ĺ":104551,"æķ°åѦ":104552,"群ä½ĵ":104553,"åĮĹ京å¸Ĥ":104554,"å±ħçĦ¶":104555,"æ°ĽåĽ´":104556,"éĢĶå¾Ħ":104557,"çļĦåŁºç¡Ģä¸Ĭ":104558,"èģĮè´£":104559,"åı¯èĥ½æĺ¯":104560,"åĨĽäºĭ":104561,"æĪIJæķĪ":104562,"åŃ©åŃIJ们":104563,"计ç®Ĺæľº":104564,"赤":104565,"产ä¸ļåıijå±ķ":104566,"巨大çļĦ":104567,"工人":104568,"çĶŁéķ¿":104569,"éĥ½åı¯ä»¥":104570,"çļĦæľºä¼ļ":104571,"èµĦè´¨":104572,"çĹĽèĭ¦":104573,"ç²īä¸Ŀ":104574,"å¢ĵ":104575,"å¹³å®ī":104576,"管éģĵ":104577,"è·ŁçĿĢ":104578,"é¥®é£Ł":104579,"åķĨ家":104580,"å¤ļ家":104581,"åı¸æľº":104582,"åºĶ该æĺ¯":104583,"éĢıéľ²":104584,"认å®ļ":104585,"è¡Įä¸ļçļĦ":104586,"çļĦä¼ģä¸ļ":104587,"æ¯ıä¸Ģ":104588,"èĮĥåĽ´åĨħ":104589,"è¾ĥ大":104590,"è´¤":104591,"å¤§èµĽ":104592,"å¤ļäºĨ":104593,"鸿":104594,"临åºĬ":104595,"åľ¨è¿Ļ个":104596,"çļĦåĨħ容":104597,"éĶĢéĩı":104598,"å¾Īå°ij":104599,"åŃŁ":104600,"ç»´æĮģ":104601,"åĴĸåķ¡":104602,"æľ¬åľ°":104603,"èī²å½©":104604,"并éĿŀ":104605,"èĢĮå·²":104606,"温æļĸ":104607,"èIJ§":104608,"æĬĵä½ı":104609,"èĢĮä¸įæĺ¯":104610,"åĸĬ":104611,"çļĦåħ³ç³»":104612,"çī©åĵģ":104613,"éĤ£æĺ¯":104614,"åĨľäº§åĵģ":104615,"è¿ĻæŶ":104616,"å©ļ姻":104617,"æ°´æŀľ":104618,"æĶ¶èİ·":104619,"ä»ĺåĩº":104620,"客æĪ·ç«¯":104621,"æ¼Ķåĩº":104622,"åħ¨æĸ°":104623,"è¿Ļä¹Łæĺ¯":104624,"æĺ¯çĶ±":104625,"è§Ĥ念":104626,"æľī个":104627,"éĢłåŀĭ":104628,"èĥľåĪ©":104629,"ä¸īæĺ¯":104630,"è¶ħå¸Ĥ":104631,"åħļå»ºå·¥ä½ľ":104632,"æĶ¾å¿ĥ":104633,"线路":104634,"æĭĽçĶŁ":104635,"åIJĥé¥Ń":104636,"è½ī":104637,"å°½éĩı":104638,"è§ģåĪ°":104639,"åIJĮæ¯Ķå¢ŀéķ¿":104640,"åįİ为":104641,"æĪijå¸Ĥ":104642,"æıIJåĩºäºĨ":104643,"æ°ijèѦ":104644,"åįļçī©":104645,"åįļçī©é¦Ĩ":104646,"è¯ļä¿¡":104647,"åīįéĿ¢":104648,"山西":104649,"è¾ħåĬ©":104650,"转移":104651,"æĽ´ä¸º":104652,"丰å¯ĮçļĦ":104653,"åį¢":104654,"å¿«éĢĴ":104655,"æĺ¾èijĹ":104656,"çī©èµĦ":104657,"åĪ°è¾¾":104658,"æľīåĪ©äºİ":104659,"åijĨ":104660,"åŃ©åŃIJçļĦ":104661,"ä¸įä½Ĩ":104662,"çłĶ究éĻ¢":104663,"çĶ³æĬ¥":104664,"æļ¨":104665,"æ°ijéĹ´":104666,"åį»":104667,"çļĦå£°éŁ³":104668,"å¸ĤåľºçļĦ":104669,"ä¸Ģåı¥":104670,"çľģ级":104671,"æĿ¥çļĦ":104672,"åĵªä¸ª":104673,"æīįä¼ļ":104674,"åĪĨéħį":104675,"èĶ¡":104676,"ä»ĸåľ¨":104677,"åħ±æľī":104678,"å¡ĺ":104679,"èĴĤ":104680,"éľį":104681,"åıĤè§Ĥ":104682,"ä¸Ī夫":104683,"ä¾ĿéĿł":104684,"æľīæŶ":104685,"äºĨå¾Īå¤ļ":104686,"ä¸ĸçķĮæĿ¯":104687,"家æĹı":104688,"ä¸įéľĢè¦ģ":104689,"大å¸Ī":104690,"èŀįåħ¥":104691,"éĿŀæ³ķ":104692,"çĹħ人":104693,"åIJİæľŁ":104694,"大家éĥ½":104695,"ç½ijåĿĢ":104696,"åİŁæĸĻ":104697,"ä¾¿å®ľ":104698,"æ¶Ľ":104699,"ä»¿ä½Ľ":104700,"å·®è·Ŀ":104701,"åı¦ä¸Ģæĸ¹éĿ¢":104702,"产åĵģçļĦ":104703,"赫":104704,"æĥħåĨµä¸ĭ":104705,"éĴ¢éĵģ":104706,"æľ¬ç«Ļ":104707,"纳åħ¥":104708,"å·²æľī":104709,"æľī没æľī":104710,"估计":104711,"é£ĺ":104712,"æľŁè´§":104713,"åĢĭ人è³ĩæĸĻ":104714,"ä¸ĵä¸ļçļĦ":104715,"çĪĨåıij":104716,"èĩ´åĬĽäºİ":104717,"çİ°åľ¨çļĦ":104718,"æľīåĵªäºĽ":104719,"çł´åĿı":104720,"æķ°åŃĹåĮĸ":104721,"åľ°éĿ¢":104722,"é»ijèī²":104723,"å¹¼åĦ¿åĽŃ":104724,"çļĦç²¾ç¥ŀ":104725,"äºŃ":104726,"导æ¼Ķ":104727,"çİ°æľī":104728,"æѦåĻ¨":104729,"èĭıå·ŀ":104730,"çİĦ":104731,"æ±Łè¥¿":104732,"延伸":104733,"论æĸĩ":104734,"è¾ĥ为":104735,"çİ©æ³ķ":104736,"é¼İ":104737,"åIJĮæŃ¥":104738,"éĩĬæĶ¾":104739,"æĽĿåħī":104740,"åĿļåĨ³":104741,"å§Ķæīĺ":104742,"å°Ĩåľ¨":104743,"äºĪ以":104744,"ä½ľæĸĩ":104745,"èĢĮåľ¨":104746,"ä¼ĺåħĪ":104747,"åĽŀåİ»":104748,"ä¿®å¤į":104749,"åĽ½åĨħå¤ĸ":104750,"çŃĸåĪĴ":104751,"åıijæĶ¾":104752,"å¿ĥæĥħ":104753,"çļĦåİĨåı²":104754,"éĿ¢è¯ķ":104755,"举åĮĹ":104756,"ä¿¡åı·":104757,"ç²®é£Ł":104758,"è¯ģ书":104759,"æŁIJäºĽ":104760,"è¿IJä½ľ":104761,"åĨ²åĩ»":104762,"çĥŃçĤ¹":104763,"æŶæŶ":104764,"æŶæĹ¶å½©":104765,"åľ°çĤ¹":104766,"ä¸Ģä½ĵåĮĸ":104767,"éļ¾é¢ĺ":104768,"æĽ°":104769,"ç«ĭåĪ»":104770,"æĺ¯éĿŀ常":104771,"åħ±åĴĮ":104772,"åħ±åĴĮåĽ½":104773,"æ¿ĢåĬ±":104774,"æľīæķĪçļĦ":104775,"å¤Ħç½®":104776,"该åħ¬åı¸":104777,"æ£ĢéªĮ":104778,"èѦæĸ¹":104779,"è´¾":104780,"äºĨä¸Ģä¸ĭ":104781,"ä»ĬåIJİ":104782,"çħ®":104783,"çĶ¨åĵģ":104784,"读èĢħ":104785,"æĪijåľ¨":104786,"åĽŀå¤į":104787,"ä¸Ģ座":104788,"è¿ĺ没":104789,"å®ļåĪ¶":104790,"没æĥ³åĪ°":104791,"夹":104792,"ä¼łéĢĴ":104793,"ä¸Ģ款":104794,"强大çļĦ":104795,"çļĦè¡Į为":104796,"å¤ı天":104797,"åıijåĬ¨æľº":104798,"é¢ĨåŁŁçļĦ":104799,"å®ŀéªĮ室":104800,"ä¸ĢæĬĬ":104801,"æĺ¯ä¸ºäºĨ":104802,"éĻķ西":104803,"æĭħä¿Ŀ":104804,"è¾¾æĪIJ":104805,"è¦ģæĺ¯":104806,"æĺİ天":104807,"ç»Ļä»ĸ":104808,"建ç«ĭäºĨ":104809,"ä¸įè¡Į":104810,"ä¸Ńæĸĩ":104811,"åľ°è¯´":104812,"åIJİçļĦ":104813,"çĽijæݧ":104814,"éĢ¸":104815,"æĢ»éĥ¨":104816,"æľ¬æĸĩ":104817,"鹿":104818,"æĻ¯è§Ĥ":104819,"çļĦ缮æłĩ":104820,"èĽĩ":104821,"åĨ¯":104822,"ä¸ŃåĮ»":104823,"æķĪåºĶ":104824,"产éĩı":104825,"åŃĿ":104826,"è´¦æĪ·":104827,"è¿Ŀåıį":104828,"èij£äºĭä¼ļ":104829,"äº¬ä¸ľ":104830,"责任ç¼ĸè¾ij":104831,"åķıé¡Į":104832,"çĪ±å¿ĥ":104833,"èŃ¦å¯Ł":104834,"é¤IJåİħ":104835,"å¸ĤæĶ¿åºľ":104836,"天天":104837,"æĸ°é²ľ":104838,"éĥijå·ŀ":104839,"è¶ħè¶Ĭ":104840,"å½Ń":104841,"çŁ¥è¯Ĩ产æĿĥ":104842,"åĽŀå¿Ĩ":104843,"路线":104844,"å»īæ´ģ":104845,"éĿĴå°ijå¹´":104846,"åıĸå¾ĹäºĨ":104847,"çľĭåĪ°äºĨ":104848,"馬":104849,"ç²¾åĵģ":104850,"åľ°éĵģ":104851,"æĮģæľī":104852,"ä¸ĭäºĨ":104853,"æľīæŶåĢĻ":104854,"ä¸Ģ人":104855,"æĴĴ":104856,"ä»Ķç»Ĩ":104857,"èĢģåħ¬":104858,"äºĭå®ŀä¸Ĭ":104859,"èģĶèµĽ":104860,"ä¾ĽåºĶéĵ¾":104861,"é¢Ħç®Ĺ":104862,"åĪ¶éĢłä¸ļ":104863,"å®īåħ¨çĶŁäº§":104864,"俱ä¹IJ":104865,"俱ä¹IJéĥ¨":104866,"çļĦæł¸å¿ĥ":104867,"æīĵç®Ĺ":104868,"å½±çīĩ":104869,"æIJŃ建":104870,"ä¹Łä¸įä¼ļ":104871,"æĭħå½ĵ":104872,"å±ĤéĿ¢":104873,"åѦåijĺ":104874,"临æŶ":104875,"缸ç»ĵåIJĪ":104876,"对æ¯Ķ":104877,"ä»ĸæĺ¯":104878,"æĸ°åĮº":104879,"è¿Ľåİ»":104880,"çĻ¾å¹´":104881,"ä¿©":104882,"尽快":104883,"çĶµåŃIJåķĨåĬ¡":104884,"æĽ´æľī":104885,"æ¸ħçIJĨ":104886,"åı¦ä¸Ģ个":104887,"åĤ»":104888,"ä»Ģä¹Īæł·çļĦ":104889,"æĺ¯æľĢ":104890,"åij¨å¹´":104891,"å¾Ī容æĺĵ":104892,"åĽ¢ç»ĵ":104893,"ç´Ħ":104894,"æĹ©å·²":104895,"çļĦåıĺåĮĸ":104896,"éľŀ":104897,"æĹ¥ä¸ĬåįĪ":104898,"失åİ»":104899,"ä¸Ńåľĭ":104900,"çļĦä¸ĢäºĽ":104901,"å°ıåŃ©":104902,"ä¸ĭè·Į":104903,"éĶ»çĤ¼":104904,"éij":104905,"éij«":104906,"å¿ĹæĦ¿èĢħ":104907,"èĤ¡å¸Ĥ":104908,"èµĽäºĭ":104909,"许åı¯è¯ģ":104910,"åı¯æĮģç»Ń":104911,"åijĬè¯īè®°èĢħ":104912,"éĢ»è¾ij":104913,"å¼ķåħ¥":104914,"çļĦè¿ĩç¨ĭä¸Ń":104915,"è§Ĩè§ī":104916,"èĩªæ²»åĮº":104917,"è¯ģæį®":104918,"è£ħç½®":104919,"第ä¸īæĸ¹":104920,"å¹´æĿ¥":104921,"å¹¿ä¸ľçľģ":104922,"带æĿ¥äºĨ":104923,"éķ¿æ±Ł":104924,"访éĹ®":104925,"å·®ä¸įå¤ļ":104926,"æĺ¯æĪij":104927,"éģŃéģĩ":104928,"æĬĵ好":104929,"é«ĺè¾¾":104930,"å¹¶åľ¨":104931,"èĩªè§ī":104932,"ä¾ĽåºĶåķĨ":104933,"æĥħæĦŁ":104934,"ä½ıäºĨ":104935,"çļĦèģĮä¸ļ":104936,"çļĩå¸Ŀ":104937,"西éĥ¨":104938,"åĴĮå¹³":104939,"çļĦåĬĽéĩı":104940,"汪":104941,"åħħåĪĨåıijæĮ¥":104942,"æĬķè¯ī":104943,"èµ·åĪ°":104944,"äºĴ缸":104945,"æ¾³éŨ":104946,"æİ¥åĪ°":104947,"æ°´æ³¥":104948,"模åŀĭ":104949,"ä¸ĢåįĬ":104950,"秩åºı":104951,"æĪijä»¬åľ¨":104952,"æī¿è®¤":104953,"ä¸Ģéĥ¨åĪĨ":104954,"åįłæ¯Ķ":104955,"å¦ĩ女":104956,"ç²ĺ":104957,"äºĨ解åĪ°":104958,"ä¸Ģå®ļä¼ļ":104959,"åIJĦ大":104960,"èµ°åĩº":104961,"为大家":104962,"é«ĺéĵģ":104963,"åı¯ä»¥åľ¨":104964,"ä½Ĩåľ¨":104965,"çĶŁæĢģçݯå¢ĥ":104966,"èı¯":104967,"çļĦä»·æł¼":104968,"麻çĥ¦":104969,"æ¿Ģåıij":104970,"éĤ£å°±":104971,"çļĦæł·åŃIJ":104972,"为æѤ":104973,"å¤©åľ°":104974,"çļĦ缮çļĦ":104975,"åĢºåĪ¸":104976,"å·²ç¶ĵ":104977,"åĽĽå¤§":104978,"åIJĮæĹ¶ä¹Ł":104979,"å½¼æѤ":104980,"æĭ¿åĪ°":104981,"åIJ«éĩı":104982,"åįģ大":104983,"éļ¾éģĵ":104984,"å¼Ĺ":104985,"ä¸Ģ段æŶéĹ´":104986,"çħ§é¡¾":104987,"æķ°æį®æĺ¾ç¤º":104988,"æĪIJ为äºĨ":104989,"èµ°åĪ°":104990,"æľ¬åħ¬åı¸":104991,"ç»Ī端":104992,"ä¹Łä¸įæĺ¯":104993,"头åıij":104994,"大约":104995,"é£İæĻ¯":104996,"æ¶ĪèĢĹ":104997,"å®¡æŁ¥":104998,"äºīåıĸ":104999,"æ³ķæ²»":105000,"äºĭçī©":105001,"ç¼ĵ解":105002,"æĥ¨":105003,"缸åºĶçļĦ":105004,"çļĦæķĪæŀľ":105005,"åıįå¤į":105006,"åıijçĶŁäºĨ":105007,"éĢĻäºĽ":105008,"ç»ĥä¹ł":105009,"åݨæĪ¿":105010,"å¼Ģæĭĵ":105011,"欣èµı":105012,"夫妻":105013,"ä¸įä¸Ģæł·":105014,"产èĥ½":105015,"èĬ¯çīĩ":105016,"è¦ģç´ł":105017,"åıį对":105018,"çİĩåħĪ":105019,"è´§çī©":105020,"æĹ¥çĶµ":105021,"ä½ľå®¶":105022,"æĶ¹è¿Ľ":105023,"æĪIJåĪĨ":105024,"åĽłèĢĮ":105025,"åĩıèĤ¥":105026,"æ½ĺ":105027,"å±±ä¸ľçľģ":105028,"åĬĿ":105029,"åŁĭ":105030,"æѦè£ħ":105031,"æ±ĩæĬ¥":105032,"ä¸Ģ个æľĪ":105033,"çĥŃéŨ":105034,"大éģĵ":105035,"æ´»åĭķ":105036,"éĥ½å¾Ī":105037,"çĶµæ¢¯":105038,"ç´§æĢ¥":105039,"åĢºåĬ¡":105040,"客æľį":105041,"ä¸Ģéĥ¨":105042,"ä½łæĺ¯":105043,"çİ°çĬ¶":105044,"æŃ£ç¡®çļĦ":105045,"ä¹ĭå¤Ħ":105046,"ç¼ĸåĪ¶":105047,"ä½łåı¯ä»¥":105048,"çŃīåľ°":105049,"èİī":105050,"对è¯Ŀ":105051,"æ·ĺå®Ŀ":105052,"è°ĥèĬĤ":105053,"æİĴæĶ¾":105054,"åºĵåŃĺ":105055,"ç´ļ":105056,"çļĦä¼ĺåĬ¿":105057,"æĿĥå¨ģ":105058,"以ä¸ĭç®Ģ称":105059,"ä¸Ģ项":105060,"èģļéĽĨ":105061,"ä¼łç»ŁçļĦ":105062,"æ··åIJĪ":105063,"è¿Ļä¸ĢçĤ¹":105064,"ä¸Ģçľ¼":105065,"æĹłéĻIJ":105066,"èİ·å¾ĹäºĨ":105067,"éĢīæīĭ":105068,"åĪ¶åĵģ":105069,"åįıä½ľ":105070,"çĭ¬çī¹çļĦ":105071,"ä¸Ģ级":105072,"è¿Ļ个éĹ®é¢ĺ":105073,"æĸĮ":105074,"æĺ¯æĪij们":105075,"æķĮ人":105076,"æ¸ħæ´Ĺ":105077,"ä¸ĢçĽ´åľ¨":105078,"å°ıç±³":105079,"çļĦè¿ĩç¨ĭ":105080,"åľ¨åĮĹ京":105081,"ä¸ĢæĶ¯":105082,"æĹ©ä¸Ĭ":105083,"æĸĩèīº":105084,"ç¦ıåĪ©":105085,"é£ŁçĶ¨":105086,"æĦŁåĬ¨":105087,"åħ¨ç¨ĭ":105088,"æĶ¯åĩº":105089,"æĸ°å»º":105090,"å¸ķ":105091,"æĺ¾çĦ¶":105092,"羣çļĦæĺ¯":105093,"æĸ°éĹ»ç½ij":105094,"èĥ½åIJ¦":105095,"åįıåĬ©":105096,"亲èĩª":105097,"å¾Īæľī":105098,"çĻ¼å±ķ":105099,"æĦı大":105100,"æĦı大åĪ©":105101,"çĶµç½ij":105102,"æĹ¥çĽĬ":105103,"çĨ±":105104,"èĤĮèĤ¤":105105,"çĶ·æĢ§":105106,"ç»Ħ建":105107,"çŃīéĹ®é¢ĺ":105108,"æ¶ĪéĻ¤":105109,"æĬ¤çIJĨ":105110,"å¡ijæĸĻ":105111,"ä¹Įåħĭ":105112,"ä¹Įåħĭåħ°":105113,"åķĨæłĩ":105114,"çIJ³":105115,"æĸ°æīĭ":105116,"çļĦçī¹çĤ¹":105117,"åĴ¬":105118,"å½ĵä¸ĭ":105119,"设计å¸Ī":105120,"èµĶåģ¿":105121,"第åįģ":105122,"æĻºèĥ½åĮĸ":105123,"å¼ĢåıijåĮº":105124,"åı¯ä»¥éĢļè¿ĩ":105125,"åħ±äº§åħļ":105126,"åİī害":105127,"çģµæ´»":105128,"æŶåħī":105129,"éĥ¨ä½į":105130,"人æĸĩ":105131,"è¿ĽæĿ¥":105132,"ä¹ĭæīĢ以":105133,"ä¸īåįģ":105134,"çļĦåѦçĶŁ":105135,"éĺ²æĬ¤":105136,"åĽ½äº§":105137,"æ·±åľ³å¸Ĥ":105138,"éĤ£å°±æĺ¯":105139,"åĪ°ä½į":105140,"çī¹æľĹ":105141,"çī¹æľĹæĻ®":105142,"å®ŀæŶ":105143,"åı°çģ£":105144,"èĢĮä¸į":105145,"æĮĩå®ļ":105146,"åĿĿ":105147,"èħIJè´¥":105148,"çī¹å®ļ":105149,"å¢ŀéĢŁ":105150,"æłĩçŃ¾":105151,"æĪ¿ä»·":105152,"æĦģ":105153,"贯彻èIJ½å®ŀ":105154,"æĢ§è´¨":105155,"çłĶ究çĶŁ":105156,"ç¾İ容":105157,"æī¹è¯Ħ":105158,"究竣":105159,"人åĬĽèµĦæºIJ":105160,"éĸĭå§ĭ":105161,"åĽŀå½Ĵ":105162,"èIJ¥åķĨ":105163,"èIJ¥åķĨçݯå¢ĥ":105164,"ä¸ŃåĽ½äºº":105165,"çļĦåŁºæľ¬":105166,"è¯Ŀé¢ĺ":105167,"æłĩåĩĨåĮĸ":105168,"西èĹı":105169,"åĭ¾":105170,"çļĦ设计":105171,"ç®ĢåįķçļĦ":105172,"å¤įåĪ¶":105173,"æ¸IJæ¸IJ":105174,"以å¤ĸ":105175,"èģĶåĬ¨":105176,"两次":105177,"æĢ§åĴĮ":105178,"æĽ´å¤§":105179,"çļĦåIJįåŃĹ":105180,"飦":105181,"ä½łè¦ģ":105182,"å¢ĥå¤ĸ":105183,"æĹ©æľŁ":105184,"åĪĿæŃ¥":105185,"è´¦åı·":105186,"害æĢķ":105187,"æĺ¨æĹ¥":105188,"åĪļæīį":105189,"ç¥ŀç§ĺ":105190,"ç²¾å¿ĥ":105191,"æµģéĢļ":105192,"åħ¨æĸ¹ä½į":105193,"以å¾Ģ":105194,"ä¹Łå°Ĩ":105195,"æĺ¯ä¸ŃåĽ½":105196,"åĽ½å®¶çº§":105197,"å°ĨåĨĽ":105198,"æijĬ":105199,"æľĢ为":105200,"第ä¸ĢæŶéĹ´":105201,"æ¶Īæ¯Ĵ":105202,"å°Ĩäºİ":105203,"å¨ģèĥģ":105204,"èĭ±æĸĩ":105205,"æīĭä¸Ń":105206,"çIJĥè¿·":105207,"è§Ĥçľĭ":105208,"离å©ļ":105209,"æľ¬åľŁ":105210,"åĪĨæķ£":105211,"æĻ´":105212,"è¦ģ注æĦı":105213,"浪费":105214,"管æݧ":105215,"åĩºåĶ®":105216,"æĢ»è£ģ":105217,"ä¸Ģéĺµ":105218,"å¨ĩ":105219,"äºĶ个":105220,"å½ĵåĪĿ":105221,"çºłçº·":105222,"ä¸ĵçĶ¨":105223,"å¤ĩæ¡Ī":105224,"åĪĿæľŁ":105225,"å®ĥæĺ¯":105226,"åĮºåĿĹ":105227,"åĮºåĿĹéĵ¾":105228,"大è¿ŀ":105229,"è¿Ļç±»":105230,"åıĺæĪIJäºĨ":105231,"éĤĦæĺ¯":105232,"åįļ客":105233,"çı¾åľ¨":105234,"ä¸Ģæĸ¹":105235,"å®ĮæĪIJäºĨ":105236,"è¿Ļ个æŶåĢĻ":105237,"åħ¨å¹´":105238,"ä¸Ĭ线":105239,"ç½IJ":105240,"ç«ŀèµĽ":105241,"åĩºçīĪ社":105242,"åĵ¥åĵ¥":105243,"寫":105244,"å¾Ĺ以":105245,"èĬ±åĽŃ":105246,"äºĨèµ·æĿ¥":105247,"èĦ±è´«æĶ»åĿļ":105248,"çļĦåİŁåĪĻ":105249,"讲解":105250,"æ¶ĪåĮĸ":105251,"æįŁå®³":105252,"æļĤæŶ":105253,"å¾ĹçŁ¥":105254,"éĢĤçĶ¨":105255,"éŨåºĹ":105256,"解读":105257,"æĻ®åıĬ":105258,"人æ°ijæ³ķéĻ¢":105259,"åī¯ä¸»ä»»":105260,"å¿ĥçģµ":105261,"è¯ĬæĸŃ":105262,"ç¾İ女":105263,"æŁ¯":105264,"年以æĿ¥":105265,"æ´»è·ĥ":105266,"åĢŁåĬ©":105267,"åħ±å»º":105268,"è¯ī讼":105269,"æĶ¾æĿ¾":105270,"çªĹåı£":105271,"ä¼ģæ¥Ń":105272,"åĬłæĭ¿":105273,"åĬłæĭ¿å¤§":105274,"ä¹°äºĨ":105275,"主æµģ":105276,"æĩĤå¾Ĺ":105277,"å°Ĩåħ¶":105278,"éĢıæĺİ":105279,"å·¥ä½ľä¸Ń":105280,"èĤ¡ä»·":105281,"æ¡£æ¡Ī":105282,"没æľīä»»ä½ķ":105283,"åijĬçŁ¥":105284,"å¹´åĪĿ":105285,"æĹ¥ä¸ĭåįĪ":105286,"åİĤåķĨ":105287,"èĬĤå¥ı":105288,"主导":105289,"è£Ŀ":105290,"åħ³éĶ®è¯į":105291,"èģĬ天":105292,"åĨĻä½ľ":105293,"æĶ¹éĿ©å¼ĢæĶ¾":105294,"æľīæľĽ":105295,"éĢļæĬ¥":105296,"èIJĮ":105297,"æĢ»é¢Ŀ":105298,"çŁŃæľŁ":105299,"ä¸Ģçķª":105300,"çĶŁæ´»çļĦ":105301,"åĮĸçļĦ":105302,"æĺ¥å¤©":105303,"è¿Ļåľº":105304,"æĸ°å¼Ģä¼łå¥ĩ":105305,"æĺ¯è¦ģ":105306,"å°ļæľª":105307,"åıĺæĽ´":105308,"ä¸Ģåij¨":105309,"客è§Ĥ":105310,"æĹ¥èĩ³":105311,"é¹°":105312,"çݲ":105313,"å°ĨæĿ¥":105314,"客人":105315,"åıĺéĿ©":105316,"说äºĨ":105317,"åİŁçIJĨ":105318,"èģĮåĬ¡":105319,"åıĪæľī":105320,"ä¸Ģåı¥è¯Ŀ":105321,"æĦŁåıĹåĪ°":105322,"ç¬ĶèĢħ":105323,"移æ°ij":105324,"西åįĹ":105325,"ä¹ĥèĩ³":105326,"æŃ£è§Ħ":105327,"åĪĿä¸Ń":105328,"çĬ¬":105329,"å½ĵäºĭ":105330,"å½ĵäºĭ人":105331,"æĪij们è¦ģ":105332,"åħ¥åı£":105333,"éĤ£æŶ":105334,"æľīéĻIJ责任":105335,"å°ij女":105336,"è¿Ļä¹Īå¤ļ":105337,"åĪĨåħ¬åı¸":105338,"å®ĩå®Ļ":105339,"çļĦéĢīæĭ©":105340,"å§IJå§IJ":105341,"åıijèµ·":105342,"è»į":105343,"æĽ´å¥½åľ°":105344,"éĻĨç»Ń":105345,"æľ¬æľįåĭĻ":105346,"å«©":105347,"赶紧":105348,"èĦĤèĤª":105349,"第äºĮ天":105350,"æĪijä¼ļ":105351,"两ä½į":105352,"æķ²":105353,"åħ¬å®īæľºåħ³":105354,"ç§ijæĬĢåĪĽæĸ°":105355,"尺寸":105356,"è¾IJå°Ħ":105357,"å®ĹæķĻ":105358,"转æį¢":105359,"åĩºçİ°åľ¨":105360,"ä¸Ģé¢Ĺ":105361,"æľŁéĻIJ":105362,"åIJĮåѦ们":105363,"åĮĹæĸ¹":105364,"ä½łå°±":105365,"ä¸Ģ带ä¸Ģè·¯":105366,"èĢģå©Ĩ":105367,"游æĪıçݩ家":105368,"çļĦç»ĵæŀľ":105369,"è¡¥åģ¿":105370,"å¤ĸè´¸":105371,"对å¾ħ":105372,"ç»´çĶŁç´ł":105373,"ç»ıéĶĢåķĨ":105374,"è¿ĺå°Ĩ":105375,"åŃIJ女":105376,"æĽ´é«ĺ":105377,"ä¸į大":105378,"éī´å®ļ":105379,"让ä»ĸ们":105380,"æīĢè°ĵçļĦ":105381,"æŃ»äºĨ":105382,"帮æī¶":105383,"åĵ²åѦ":105384,"以ä¸ĬçļĦ":105385,"çļĦåħ³éĶ®":105386,"æĹ©å°±":105387,"æĬ¥ä»·":105388,"éģµå®Ī":105389,"æī©å¼ł":105390,"æĺ¯å¾Ī":105391,"å¼ĢéĢļ":105392,"æĸ°åĬł":105393,"æĸ°åĬłåĿ¡":105394,"ç¿»è¯ij":105395,"询éĹ®":105396,"é¸Ń":105397,"ä½ĵåĨħ":105398,"两个人":105399,"çĪ¹":105400,"éľľ":105401,"乡æĿijæĮ¯åħ´":105402,"çĿ¡è§ī":105403,"å®ĺåijĺ":105404,"åĪĽå§ĭ":105405,"åĪĽå§ĭ人":105406,"ä¼Ĺ人":105407,"åį³ä¾¿":105408,"çĸ«èĭĹ":105409,"ä¼ģä¸ļ家":105410,"渣":105411,"ç²¾åĬĽ":105412,"å¤ĸéĥ¨":105413,"èģªæĺİ":105414,"è¿Ļä¹Ł":105415,"å½ķåıĸ":105416,"åĨ²çªģ":105417,"åħ¨èº«":105418,"åŃ£èĬĤ":105419,"忽çĦ¶":105420,"çļĦæĢģ度":105421,"åĤ¨å¤ĩ":105422,"ä¿Ŀåħ»":105423,"çļĦæĥ³æ³ķ":105424,"ä¸Ĭæµ·å¸Ĥ":105425,"æIJºæīĭ":105426,"çļĦä¿¡æģ¯":105427,"åķĨåľº":105428,"çļĦæĢĿæĥ³":105429,"æĿĥåĬĽ":105430,"毫æĹł":105431,"æĢĢåŃķ":105432,"硬件":105433,"åĨħèĴĻåı¤":105434,"æݢ讨":105435,"åħ»çĶŁ":105436,"çļĦ表çİ°":105437,"空ä¸Ń":105438,"æģIJæĢĸ":105439,"å¾Īé«ĺ":105440,"ç»ıæµİ社ä¼ļ":105441,"ä¸ĬæĿ¥":105442,"延ç»Ń":105443,"éĩįå¤į":105444,"éĺ²èĮĥ":105445,"çļĦå½¢å¼ı":105446,"æľĪåºķ":105447,"èĢģ年人":105448,"绿åĮĸ":105449,"å±±åĮº":105450,"æĭ¿åĩº":105451,"æĹħ客":105452,"æĽ´æį¢":105453,"åħ¬ä¸»":105454,"èĬĤ约":105455,"åħ¨åİ¿":105456,"åĽŀæĬ¥":105457,"çIJĨæĢ§":105458,"çĸ¯çĭĤ":105459,"æ¶īå«Į":105460,"åī§æĥħ":105461,"åĨ¬åŃ£":105462,"åIJİç»Ń":105463,"è¿Ļæĺ¯ä¸Ģ个":105464,"æ¼Ķ讲":105465,"ä¸Ģå±Ĥ":105466,"æľīåħ³éĥ¨éŨ":105467,"æĹłå¥Ī":105468,"ç§įç±»":105469,"缸åħ³çļĦ":105470,"æĪĸèĢħæĺ¯":105471,"æī¶æĮģ":105472,"å¤ļæķ°":105473,"çļĦä½ľåĵģ":105474,"ä¸ĭä¸ĢæŃ¥":105475,"å¸ĪåĤħ":105476,"é«ĺéĢŁåħ¬è·¯":105477,"好åıĭ":105478,"ä¼ĺç§ĢçļĦ":105479,"è¿ĽäºĨ":105480,"æģIJæĢķ":105481,"äºĨåIJ§":105482,"大è§Ħ模":105483,"çļĦä¸ĸçķĮ":105484,"æĢĢçĸij":105485,"å··":105486,"åħ´å¥ĭ":105487,"æĪ°":105488,"æĿijéĩĮ":105489,"æľĭåıĭåľĪ":105490,"åĨ¬å¤©":105491,"ä¸Ńåįİ人æ°ij":105492,"åįıåķĨ":105493,"è¯ĦéĢī":105494,"æĹŃ":105495,"å¢ŀåĬłäºĨ":105496,"åıĹ伤":105497,"ä¸ĢèĤ¡":105498,"便æį·":105499,"ä¸ij":105500,"鹤":105501,"å¤ĸè§Ĥ":105502,"å·¥ç¨ĭå¸Ī":105503,"åĴĮåħ¶ä»ĸ":105504,"è¿Ļå°±":105505,"ä¸Ńå°ıä¼ģä¸ļ":105506,"西åĮĹ":105507,"åĽ½æľīä¼ģä¸ļ":105508,"èĭ¥æĺ¯":105509,"åı¯æĥľ":105510,"çĶŁæĹ¥":105511,"åĩ½":105512,"ä¹°åįĸ":105513,"ç¥Ŀç¦ı":105514,"人æ°ij群ä¼Ĺ":105515,"åħīæĺİ":105516,"åħ¬å¯ĵ":105517,"æĺ¯è°ģ":105518,"æĪijçŁ¥éģĵ":105519,"è¯Ńæĸĩ":105520,"æķıæĦŁ":105521,"ä¸įéĶĻçļĦ":105522,"æĿ¥è®²":105523,"æ³¢åĬ¨":105524,"çļĦ第ä¸Ģ":105525,"åľ°éľĩ":105526,"åľ¨åħ¨åĽ½":105527,"骨干":105528,"å®īç½®":105529,"家çĶµ":105530,"ä¸İæѤ":105531,"ä¸İæѤåIJĮæŶ":105532,"åıĹçģ¾":105533,"çĥŃ线":105534,"çļĦæĬĢæľ¯":105535,"æµĭéĩı":105536,"ä¾Ŀèµĸ":105537,"ä¸ŃåĽ½çļĦ":105538,"çī¹æĢ§":105539,"è¾ĥé«ĺ":105540,"踩":105541,"ä¼ļåľ¨":105542,"建éĢł":105543,"导èĪª":105544,"æĥ³èµ·":105545,"åħ¨ä¸ĸçķĮ":105546,"建æĿIJ":105547,"ç¯Ģ":105548,"çļĦåŁºç¡Ģ":105549,"èĩªåĬ¨åĮĸ":105550,"åīįåIJİ":105551,"çĿ¡çľł":105552,"æݨè¡Į":105553,"æį®äºĨ解":105554,"ä»Ģä¹ĪæŶåĢĻ":105555,"ä¸įåĸľæ¬¢":105556,"çħ¤çĤŃ":105557,"éĤ£ä¹Īå¤ļ":105558,"å¸ĤåľºåĮĸ":105559,"ä¸į管æĺ¯":105560,"ç«ĭåľº":105561,"éĥ½æ²¡":105562,"课é¢ĺ":105563,"æĪij们å°Ĩ":105564,"è¿ĩçļĦ":105565,"åĨįåĬłä¸Ĭ":105566,"çĪ¾":105567,"身æĿIJ":105568,"çĶ·å¥³":105569,"è¿ľè¿ľ":105570,"çĶ·çĶŁ":105571,"èĩªèº«çļĦ":105572,"è´Łæĭħ":105573,"çĻ¾ä¸ĩ":105574,"西çıŃ":105575,"西çıŃçīĻ":105576,"åĩĢåĪ©æ¶¦":105577,"澳大":105578,"澳大åĪ©äºļ":105579,"ä¸įåİ»":105580,"æī¿åıĹ":105581,"楼çĽĺ":105582,"å¢ĥåĨħ":105583,"æ··åĩĿ":105584,"æ··åĩĿåľŁ":105585,"æĢĿæĥ³æĶ¿æ²»":105586,"å¸ĤåĮº":105587,"æĭĽæłĩ":105588,"åĽ¢ä½ĵ":105589,"è¿Ľåº¦":105590,"åĨĽéĺŁ":105591,"åıįå¼¹":105592,"äºĨä¸ĢäºĽ":105593,"æİ¥å¾ħ":105594,"çļĦåŃ¦ä¹ł":105595,"éħįéĢģ":105596,"é£Łåĵģå®īåħ¨":105597,"æĽ¿ä»£":105598,"æĺ¯ä»¥":105599,"éĢļçĶ¨":105600,"çłĶ究æīĢ":105601,"ç¦ħ":105602,"æīĶ":105603,"éļĶ离":105604,"ä¸ĩå¹³æĸ¹ç±³":105605,"çļĦè§Ħå®ļ":105606,"ç»ĻæĪij们":105607,"æ¿Ģåħī":105608,"ä¼ļåĩºçİ°":105609,"çŁŃä¿¡":105610,"ç©¿çĿĢ":105611,"æ²Īéĺ³":105612,"æķĻæĿIJ":105613,"éĺ²çĸ«":105614,"ä¼ĺèī¯":105615,"约å®ļ":105616,"æĪijçľģ":105617,"åħ¬æ°ij":105618,"éģ¸æĵ":105619,"éģ¸æĵĩ":105620,"å·²æĪIJ为":105621,"ä¸įå¿ħ":105622,"ç¥ĸåĽ½":105623,"å¹¶æľª":105624,"åľŁå£¤":105625,"å¾®ç¬ij":105626,"äºĭä¸ļåįķä½į":105627,"çļĦ游æĪı":105628,"åħ¬ç¤º":105629,"åIJĪçIJĨçļĦ":105630,"çªĿ":105631,"æ°Ķ象":105632,"家ä¸Ń":105633,"äº®çĽ¸":105634,"åį«æĺŁ":105635,"è®°è½½":105636,"è§Ĩéĩİ":105637,"åľ°åĮºçļĦ":105638,"ä½Ĩä»ĸ":105639,"èĤĮèĤī":105640,"äºıæįŁ":105641,"åĬŀåѦ":105642,"ä¸Ģè¡Į":105643,"è¯ŀçĶŁ":105644,"åıijå¸ĥçļĦ":105645,"çļĦæľįåĬ¡":105646,"çļĦçłĶ究":105647,"åij¨æľ«":105648,"产ä¸ļåĽŃ":105649,"é«ĺ温":105650,"æĪIJåĬŁçļĦ":105651,"æŃ¥éª¤":105652,"åŃĺåĤ¨":105653,"åŃIJåħ¬åı¸":105654,"让她":105655,"ä¸Ńæľī":105656,"åĺī宾":105657,"妮":105658,"æĺİå¹´":105659,"äºĨåIJĹ":105660,"äºīè®®":105661,"æĪĪ":105662,"ä¸Ģæľ¬":105663,"ç¾İ丽çļĦ":105664,"ä½łè¯´":105665,"大人":105666,"æĶ»çķ¥":105667,"ä¸įæľĥ":105668,"å¾ħéģĩ":105669,"ä¸Ģè¾Ĩ":105670,"çīĪæĿĥæīĢæľī":105671,"æ°ijä¼Ĺ":105672,"åĬŁå¤«":105673,"å±ķä¼ļ":105674,"大èĦij":105675,"æ¯ıæľĪ":105676,"å°ı麦":105677,"æµĻæ±Łçľģ":105678,"çļĦæīĢæľī":105679,"ä¸ĭæ»ij":105680,"èĵĿèī²":105681,"è¦ģæĥ³":105682,"åѦçĶŁçļĦ":105683,"å½ĵä½ł":105684,"ä½ľæĪĺ":105685,"家乡":105686,"å¤ļåIJį":105687,"é«ĺäºİ":105688,"åĿļ强":105689,"è¿ŀéĶģ":105690,"åIJİæŀľ":105691,"人äºĭ":105692,"ç´ħ":105693,"æ¿ĢåĬ¨":105694,"è¿ĽæĶ»":105695,"ç©Ĩ":105696,"ä¸ĺ":105697,"让èĩªå·±":105698,"以æѤ":105699,"夫人":105700,"å¼Ģ设":105701,"æ°Ķè´¨":105702,"鸡èĽĭ":105703,"çĦ¡æ³ķ":105704,"åIJĥäºĨ":105705,"åĪĨåĪ«ä¸º":105706,"èģĶåIJĪåĽ½":105707,"å½ĵ代":105708,"å¦Ĥæŀľæĺ¯":105709,"è¿ľç¨ĭ":105710,"åĸĤ":105711,"è®°ä½ı":105712,"æ¸ħåįķ":105713,"åIJĪä½ľä¼Ļä¼´":105714,"åİ»åģļ":105715,"æķħéļľ":105716,"模æĭŁ":105717,"å¸ĪçĶŁ":105718,"åīįæĿ¥":105719,"çĶµè§Ĩåī§":105720,"çĥŃçĪ±":105721,"éľ²åĩº":105722,"é«ĺå±Ĥ":105723,"çĶµåĻ¨":105724,"纪å¾ĭ":105725,"å¼ĢåıijåķĨ":105726,"éķ¿å®ī":105727,"è½½ä½ĵ":105728,"çļĦå°±æĺ¯":105729,"被人":105730,"åıĹçIJĨ":105731,"篮çIJĥ":105732,"èİİ":105733,"交ç»Ļ":105734,"æľªæĿ¥çļĦ":105735,"两大":105736,"åIJķå¸ĥ":105737,"çŃī人":105738,"çļĦæĹ¥åŃIJ":105739,"åIJĪä½ľç¤¾":105740,"æĮijéĢī":105741,"åŃĺ款":105742,"ç³»ç»ŁçļĦ":105743,"æĬĬå®ĥ":105744,"没æľīä»Ģä¹Ī":105745,"ä»İæѤ":105746,"ä¸ŃåįĪ":105747,"çĸ¼çĹĽ":105748,"å·©åĽº":105749,"浪漫":105750,"缸åħ³éĥ¨éŨ":105751,"éķ¿åŁİ":105752,"纤维":105753,"ä¸ĬéŨ":105754,"çĪĨçĤ¸":105755,"èµ·çĤ¹":105756,"çļĦéĢļçŁ¥":105757,"èĢĮæĿ¥":105758,"çļĦèĢģ":105759,"æīĭéĩĮ":105760,"è¯ŃéŁ³":105761,"è¾Ľèĭ¦":105762,"æ±Łèĭıçľģ":105763,"çĶ¨äºĨ":105764,"身份è¯ģ":105765,"æľīåĬ©":105766,"æľīåĬ©äºİ":105767,"çī©èģĶç½ij":105768,"åĩºéŨ":105769,"å¼ŁåŃIJ":105770,"æĥ¹":105771,"è¿Ļ件äºĭ":105772,"æĪij们åı¯ä»¥":105773,"çļĦçĶŁåij½":105774,"æľīä¸Ģç§į":105775,"åºĹéĵº":105776,"åıĮæīĭ":105777,"çļĦæ¶Īæģ¯":105778,"èĢIJå¿ĥ":105779,"å°´å°¬":105780,"éĤ£å¤©":105781,"é¦ĸæī¹":105782,"æĺ¯ä¸Ģ家":105783,"人æ°Ķ":105784,"åıįæŃ£":105785,"æĪijåĴĮ":105786,"å®łçī©":105787,"ä¸į对":105788,"寻æ±Ĥ":105789,"çĽ¸ä¼¼":105790,"åľ¨ç¾İåĽ½":105791,"åı«åģļ":105792,"åĹİ":105793,"ç«ĭ足":105794,"çĶ¨éĢĶ":105795,"åħĨ":105796,"大æ°Ķ":105797,"åIJijä¸Ĭ":105798,"ä»ĸå°±":105799,"é¡¹çĽ®å»ºè®¾":105800,"èĭ¥å¹²":105801,"æĺ¯æľī":105802,"æ¿Ģæĥħ":105803,"çļĦæĦıä¹ī":105804,"æĺŃ":105805,"严éĩįçļĦ":105806,"å¯ĨéĽĨ":105807,"èĪŀè¹Ī":105808,"èį£èİ·":105809,"èİ·æĤī":105810,"æ±ŁåįĹ":105811,"åģĩå¦Ĥ":105812,"æĪ·å¤ĸ":105813,"线索":105814,"ç§ģ人":105815,"转åŀĭåįĩ级":105816,"çļĦä»·åĢ¼":105817,"åįķçĭ¬":105818,"èĢģçĻ¾å§ĵ":105819,"å°įæĸ¼":105820,"åĽ½éĻħåĮĸ":105821,"ä¼°åĢ¼":105822,"æľįåĬ¡ä¸ļ":105823,"èĩŃ":105824,"æİīäºĨ":105825,"解åĨ³äºĨ":105826,"ä¹Łä¸įèĥ½":105827,"åħ¹":105828,"æĸ¯çī¹":105829,"æķħæĦı":105830,"è¿ĩ度":105831,"èĬĤæĹ¥":105832,"çĻ½çĻľ":105833,"çĻ½çĻľé£İ":105834,"继æī¿":105835,"äºĨä¸įå°ij":105836,"äºĮ人":105837,"è§ģéĿ¢":105838,"æĥ³æĥ³":105839,"å¤įåIJĪ":105840,"康å¤į":105841,"åİ¿åŁİ":105842,"åľ¨åĽ½åĨħ":105843,"åľºåľ°":105844,"éĻ¶çĵ·":105845,"è¿Ļ项":105846,"çľ¼ä¸Ń":105847,"糸":105848,"æĦŁè§īåĪ°":105849,"æŀľçĦ¶":105850,"æĶ¾åħ¥":105851,"约æĿŁ":105852,"æİĴæŁ¥":105853,"车主":105854,"çļĦæĦıæĢĿ":105855,"æĸ°åŁİ":105856,"æĥ³çĿĢ":105857,"éģĤ":105858,"èĮ¶åı¶":105859,"ä¹°æĪ¿":105860,"åĨľæĪ·":105861,"é«ĺæīĭ":105862,"çİīç±³":105863,"æĸ°åĨłèĤºçĤİ":105864,"çħ§æĺİ":105865,"æĮĩåįĹ":105866,"踢":105867,"æķijæı´":105868,"æĻ¯çĤ¹":105869,"ç¨İæĶ¶":105870,"çļĦæīĭ":105871,"æŃ£å¥½":105872,"è¦ģæĬĬ":105873,"éļıæĦı":105874,"åħ¶å®ŀæĺ¯":105875,"ç»Ļèĩªå·±":105876,"è°ĪåĪ¤":105877,"æ¯ı天éĥ½":105878,"æĢģåĬ¿":105879,"é¢Ħ约":105880,"åİĨåı²ä¸Ĭ":105881,"å®Ŀè´Ŀ":105882,"åīįè¿Ľ":105883,"ä¹Łå°±æĺ¯è¯´":105884,"çļĦæĦıè§ģ":105885,"åı£ç½©":105886,"åİĺç±³":105887,"èĬ±è´¹":105888,"ä½ĵèĤ²æĬķ注":105889,"åħ¬ä¼Ĺåı·":105890,"èijĹåIJįçļĦ":105891,"å¼ĢæĪ·":105892,"æĭįåįĸ":105893,"å²ģæľĪ":105894,"åĨħ涵":105895,"å®Įæķ´çļĦ":105896,"é«ĺåİĭ":105897,"åħ¬åĬ¡åijĺ":105898,"使çĶ¨çļĦ":105899,"çĶŁäº§çº¿":105900,"妹妹":105901,"走访":105902,"æĺ¯åı¯ä»¥":105903,"åľ¨å®¶":105904,"æļ´åĬĽ":105905,"æ³°åĽ½":105906,"è´¨çĸij":105907,"ä¸įéģİ":105908,"天çĦ¶æ°Ķ":105909,"缺çĤ¹":105910,"å°ıåŀĭ":105911,"ä¸įä»ħæĺ¯":105912,"é»ijæļĹ":105913,"梨":105914,"æĸĩæĹħ":105915,"è¦ģæľī":105916,"ä¸Ńå±±":105917,"çļĦæķ°æį®":105918,"å¾Ĺå¾Ī":105919,"以便":105920,"对ä»ĸ":105921,"åĬłä»¥":105922,"çĻ¼çı¾":105923,"设å®ļ":105924,"èĤļåŃIJ":105925,"éĿĸ":105926,"å¥īçĮ®":105927,"ä¸įåıĺ":105928,"åı£ç¢ij":105929,"åľ¨åĵªéĩĮ":105930,"ä½IJ":105931,"è¿Ļ两个":105932,"çļĦæĸ¹åIJij":105933,"æŀ«":105934,"äºĮ次":105935,"çīĩåĮº":105936,"éłIJ":105937,"ç£Ĭ":105938,"æĭ¿çĿĢ":105939,"å·²ç»ıæĪIJ为":105940,"ä¹ĭä¸Ĭ":105941,"å®ĹæŨ":105942,"奶奶":105943,"é«ĺæĸ°åĮº":105944,"社æľĥ":105945,"è·Łè¸ª":105946,"æľįåĬ¡ä¸Ńå¿ĥ":105947,"æī¯":105948,"æīĭæĮĩ":105949,"礼çī©":105950,"宿èĪį":105951,"çĶ¨å¿ĥ":105952,"æıIJé«ĺäºĨ":105953,"亮çĤ¹":105954,"ä¸įæĦ¿æĦı":105955,"æĴŃæĶ¾":105956,"å¤ļå°ijéĴ±":105957,"没ä»Ģä¹Ī":105958,"æķ°åįģ":105959,"æĢ»çĽij":105960,"çļĦåŁİå¸Ĥ":105961,"æī¾åĪ°äºĨ":105962,"åĨħåľ°":105963,"åĪ°çİ°åľ¨":105964,"æĪĺæĸĹåĬĽ":105965,"åİŁå§ĭ":105966,"åĥ§":105967,"åĢĴæĺ¯":105968,"æľĢåħ·":105969,"è´«åĽ°æĪ·":105970,"éĢģåĪ°":105971,"级åĪ«":105972,"åĩºèµĦ":105973,"æĪªæŃ¢":105974,"ç§įåŃIJ":105975,"èĥ½ä¸įèĥ½":105976,"幸è¿IJ":105977,"èĸĩ":105978,"项éĵ¾":105979,"æĮĤçīĮ":105980,"ä¸Ģ樣":105981,"ä¹ĺ客":105982,"èIJ½åIJİ":105983,"ä½ĨæĪij":105984,"æĹ©åľ¨":105985,"åĬ¨æ¼«":105986,"å¹³çŃī":105987,"å¯¹ä½ł":105988,"ä¸įæĢķ":105989,"å¤ĸçķĮ":105990,"å¤ļå¹´æĿ¥":105991,"é¦ĸ个":105992,"æ²³åįĹçľģ":105993,"æĪĸåħ¶ä»ĸ":105994,"éķľå¤´":105995,"åįĹæĺĮ":105996,"ä¸ĢéĿ¢":105997,"éĢłæĪIJçļĦ":105998,"å´Ķ":105999,"çŃĴ":106000,"æķĻèĤ²éĥ¨":106001,"åľ°åŁŁ":106002,"æĺĨæĺİ":106003,"å·´é»İ":106004,"æīĭ游":106005,"ä¸ĢæŶ":106006,"çłį":106007,"顶级":106008,"åħ±è®¡":106009,"åİŁæ²¹":106010,"è¾īçħĮ":106011,"说æĺ¯":106012,"æĸ°åįİ社":106013,"ç»ıåİĨäºĨ":106014,"ä¸įæŃ¢":106015,"è¦ģä¹Ī":106016,"èĢħçļĦ":106017,"æĢ»æĬķèµĦ":106018,"è¡Į驶":106019,"ä¸Ĭå¸Ŀ":106020,"年纪":106021,"çIJ¼":106022,"ä¼łè¯´":106023,"ç²¾èĭ±":106024,"æĸ¹éĴĪ":106025,"æ±Łæ¹ĸ":106026,"æĪIJçĤº":106027,"æĢ»éĩı":106028,"æĬķæĶ¾":106029,"åĬ¨çĶ»":106030,"èŤ":106031,"çĶµæºIJ":106032,"éĴĻ":106033,"åIJĮè¡Į":106034,"æĻ®éĢļçļĦ":106035,"åĽ¾ä¹¦é¦Ĩ":106036,"è¯ĪéªĹ":106037,"æħĪåĸĦ":106038,"è¿Ļ份":106039,"主æĮģ人":106040,"å°±è¿Ļæł·":106041,"èĢĮæĪIJ":106042,"èĩªè¡Į车":106043,"ä¸ŃåĽ½çī¹èī²":106044,"èĤ¿çĺ¤":106045,"åIJ¾":106046,"å¼Łå¼Ł":106047,"åıĹçĽĬ":106048,"éĢīæĭ©äºĨ":106049,"æĺİæĺ¾çļĦ":106050,"æĬ¥èĢĥ":106051,"ç¬ijéģĵ":106052,"éĽĸçĦ¶":106053,"温å·ŀ":106054,"éĿŀæ´²":106055,"ç§įç§į":106056,"åıĤåĬłäºĨ":106057,"è´§è¿IJ":106058,"éļı便":106059,"就没æľī":106060,"縣":106061,"央è§Ĩ":106062,"ç©¿è¶Ĭ":106063,"çļĦçݰ象":106064,"åĩłæ¬¡":106065,"çļĦé£İéĻ©":106066,"æŃĮæĽ²":106067,"æľ¬å±Ĭ":106068,"å¹´åĨħ":106069,"ä¸įè¶ħè¿ĩ":106070,"è¿ĩå¤ļ":106071,"å¿ħé¡»è¦ģ":106072,"ç»ĵ论":106073,"åĢŁéī´":106074,"ç¥ŀå¥ĩ":106075,"æľŁæľĽ":106076,"ä¸ĵ享":106077,"éĿŀ常éĩįè¦ģ":106078,"æĦıè¯ĨåĪ°":106079,"åIJĪ并":106080,"æĬĬèĩªå·±":106081,"å¥Ĺè£ħ":106082,"éŃĶæ³ķ":106083,"å¤ıåŃ£":106084,"ä¸įåĥı":106085,"å¢ĥçķĮ":106086,"æĥĬåĸľ":106087,"æľīä¸Ģ天":106088,"çĦ¦çĤ¹":106089,"æĪij认为":106090,"åħ°å·ŀ":106091,"çĶµæ°Ķ":106092,"èģĶç³»æĪij们":106093,"ç§ijæĻ®":106094,"她说":106095,"çļĦæĸĩç«ł":106096,"å¥ĩæĢª":106097,"åıĭ好":106098,"饮æĸĻ":106099,"çļĦæĶ¯æĮģ":106100,"çŃĶåºĶ":106101,"éĩįéĩı":106102,"çij¶":106103,"åĩıè½»":106104,"ç§ijåŃ¦å®¶":106105,"巴西":106106,"éĩijèŀįæľºæŀĦ":106107,"åħļå§Ķ书记":106108,"貸款":106109,"ç²¾èĩ´":106110,"ä»İæľª":106111,"åį°åĪ·":106112,"åĽŀ顾":106113,"é¦ĸéĥ½":106114,"åıijèĤ²":106115,"éĹ®éģĵ":106116,"è¾¾åĪ°äºĨ":106117,"å¿įä¸įä½ı":106118,"æīįæľī":106119,"æįIJèµł":106120,"ä½ĽæķĻ":106121,"ä¸įæ¸ħ":106122,"éĺŁéķ¿":106123,"缸åıį":106124,"æĬ¥èѦ":106125,"大åħ¨":106126,"æ¬§çĽŁ":106127,"帮å¿Ļ":106128,"çļĦæĻĤåĢĻ":106129,"缮å½ķ":106130,"足以":106131,"èī°éļ¾":106132,"ä»ĸä¹Ł":106133,"å·¥ä½ľèĢħ":106134,"头èĦij":106135,"缺éĻ·":106136,"æĪIJç«ĭäºĨ":106137,"å°±å¼Ģå§ĭ":106138,"认åIJĮ":106139,"é»Ħèī²":106140,"çĹħæĥħ":106141,"覺å¾Ĺ":106142,"è¿Ļ两":106143,"ä¿¡ä»°":106144,"åľĭ家":106145,"ä¸įä»ħä»ħæĺ¯":106146,"çĭ¬å®¶":106147,"èĪ¬çļĦ":106148,"æĿIJè´¨":106149,"æµ·ä¸Ĭ":106150,"çĤºäºĨ":106151,"æľºåĬ¨è½¦":106152,"缸å½ĵäºİ":106153,"å¤ļåħĥåĮĸ":106154,"æĽ´å¤§çļĦ":106155,"èĽ®":106156,"åģĩæľŁ":106157,"å¼ıçļĦ":106158,"交éĢļè¿IJè¾ĵ":106159,"çľģå§Ķ":106160,"ä¸įç®Ĺ":106161,"æĶ¾ä¸ĭ":106162,"éĹ¯":106163,"äººåľ¨":106164,"港åı£":106165,"æĹ¨åľ¨":106166,"åij½ä»¤":106167,"æŁIJ个":106168,"平稳":106169,"åıªå¥½":106170,"人人":106171,"äºŀ":106172,"äºĮç»´":106173,"äºĮç»´çłģ":106174,"æŀģ为":106175,"åĪ«å¢ħ":106176,"åħ¶ä½Ļ":106177,"大äºĭ":106178,"主管éĥ¨éŨ":106179,"æĹłéĶ¡":106180,"éŵ":106181,"éģŃåĪ°":106182,"说è¿ĩ":106183,"ä¸ºä½ł":106184,"解çŃĶ":106185,"éªĮæĶ¶":106186,"çļĦç»ıéªĮ":106187,"åĮ¹éħį":106188,"çģ«ç®Ń":106189,"豪åįİ":106190,"æŁIJæŁIJ":106191,"çļĦæĹ¶ä»£":106192,"书éĿ¢":106193,"æģĴ大":106194,"延éķ¿":106195,"ä¸ĢåIJĮ":106196,"æľªèĥ½":106197,"交æį¢":106198,"çĶ¢åĵģ":106199,"çŃīåĪ°":106200,"åĪĨ离":106201,"æīĵçĶµè¯Ŀ":106202,"å¹²çĩ¥":106203,"è¾ĥå¤ļ":106204,"å¤ļå¹´çļĦ":106205,"èĥĮæĻ¯ä¸ĭ":106206,"为ä¾ĭ":106207,"æijĺè¦ģ":106208,"å´Ľèµ·":106209,"æѤåĪ»":106210,"æľīæľºä¼ļ":106211,"æĿ¡æ¬¾":106212,"é¢Ĩ导å°ıç»Ħ":106213,"çļĦ身ä½ĵ":106214,"åįķä¸Ģ":106215,"央è¡Į":106216,"ä¸įæĸŃæıIJé«ĺ":106217,"ä»·åĢ¼è§Ĥ":106218,"èĬ½":106219,"èIJį":106220,"æ³ķå¾ĭæ³ķè§Ħ":106221,"ä¸įéĶĪ":106222,"ä¸įéĶĪéĴ¢":106223,"åĩºäºİ":106224,"èĻļæĭŁ":106225,"æį®æĤī":106226,"çĥ¦æģ¼":106227,"åħ¨æĸ°çļĦ":106228,"æī«æıı":106229,"çĻ»éĻĨ":106230,"èīºæľ¯å®¶":106231,"çļĦé£Łçī©":106232,"çļĦåŃĺåľ¨":106233,"客åİħ":106234,"æĪij们就":106235,"æŁ¥çľĭæĽ´å¤ļ":106236,"è¯Ħ审":106237,"å¸Ĥåł´":106238,"è¬Ľ":106239,"巨头":106240,"ä¸ŃåĽ½ç»ıæµİ":106241,"äºĨèĩªå·±çļĦ":106242,"åĨ³è®®":106243,"çĽijçĿ£ç®¡çIJĨ":106244,"æĬķ票":106245,"åĨį度":106246,"è¡ĮçĤº":106247,"注åħ¥":106248,"ä½ľä¸ºä¸Ģ个":106249,"æ¯ı个人éĥ½":106250,"åįķåħĥ":106251,"è¦ģçŁ¥éģĵ":106252,"被称为":106253,"ä¹ĭéĻħ":106254,"解éĻ¤":106255,"丸":106256,"溫":106257,"ä¸īæĺŁ":106258,"é²ľæĺİ":106259,"ä¹Łéĥ½":106260,"æĹ¶æľº":106261,"åĩºæīĭ":106262,"æĥħå½¢":106263,"åķĨè´¸":106264,"éĢī举":106265,"对èĩªå·±":106266,"çĶŁåĬ¨":106267,"åħĭæľį":106268,"个ä½ĵ":106269,"èĭij":106270,"稱":106271,"大åݦ":106272,"æĺ¯å¯¹":106273,"åĪ©æģ¯":106274,"è¿IJåĬ¨åijĺ":106275,"åĮĸ解":106276,"åīį沿":106277,"æĦŁæģ©":106278,"æĢ»ä¹ĭ":106279,"é«ĺæĸ°æĬĢæľ¯":106280,"åĿĩ为":106281,"åħ¨åĮº":106282,"æ°Ķæ°Ľ":106283,"åı¯ä»¥è¯´æĺ¯":106284,"ä½ı宿":106285,"åħļåijĺå¹²éĥ¨":106286,"åĹ¯":106287,"è·µè¡Į":106288,"çļĦä¸ĵä¸ļ":106289,"èĢĥéªĮ":106290,"èķ¾":106291,"åħ¬åŃIJ":106292,"çļĦçĬ¶æĢģ":106293,"æ½®æµģ":106294,"ä¿¡æīĺ":106295,"è´¼":106296,"åIJĦæĸ¹":106297,"æķijåĬ©":106298,"éĿŀ常çļĦ":106299,"æ¡¥æ¢ģ":106300,"åħ¬æĸ¤":106301,"ä¼¼çļĦ":106302,"çľĭ好":106303,"å±Ģéĥ¨":106304,"å®īéĿĻ":106305,"éħį件":106306,"常è§Ħ":106307,"å¼Ģ车":106308,"第äºĮ次":106309,"ä¸Ĭ级":106310,"åıĤèµĽ":106311,"家å±ŀ":106312,"强åĬ¿":106313,"åľ¨ä»ĸ":106314,"åIJijåīį":106315,"ä¹ĭåľ°":106316,"éĥ¡":106317,"è¡Įç¨ĭ":106318,"èѦåijĬ":106319,"è§Ħå®ļçļĦ":106320,"åķĨåŁİ":106321,"äºĶ大":106322,"æķĻ室":106323,"åįģ足":106324,"æīĢä»¥åľ¨":106325,"å°Ĩ继ç»Ń":106326,"çŃīæĸ¹å¼ı":106327,"家ä¼ģä¸ļ":106328,"交ä»ĺ":106329,"çĤ¹è¯Ħ":106330,"ç»ĵç®Ĺ":106331,"ä¹Łåı¯":106332,"å¤ĸæ±ĩ":106333,"è¿Ļç§įæĥħåĨµ":106334,"æİĪäºĪ":106335,"å¸ĥç½®":106336,"æĪIJç«ĭäºİ":106337,"é¢ĦèѦ":106338,"管çIJĨ人åijĺ":106339,"å©ļ礼":106340,"ç»ĵæĿŁåIJİ":106341,"åħ¥éĢī":106342,"æĹłæ¯Ķ":106343,"åĴĮåıijå±ķ":106344,"çĻ½éħĴ":106345,"çİ©åħ·":106346,"ä¸ĩç¾İåħĥ":106347,"çļĦæĪIJ绩":106348,"æĭįçħ§":106349,"èĢĥèĻijåĪ°":106350,"ä¼ģä¸ļåıijå±ķ":106351,"äºĨ个":106352,"çĶŁæ°Ķ":106353,"çļĦ女人":106354,"äºĶåįģ":106355,"çĪ·çĪ·":106356,"纽约":106357,"éĥ½è¢«":106358,"ä¸Ĭ课":106359,"çĽ¡":106360,"ä¼łç»ŁæĸĩåĮĸ":106361,"æ½ľåľ¨":106362,"åıijå°Ħ":106363,"ä¸Ģ身":106364,"éĺ²å®Ī":106365,"åĪ®":106366,"é¢ĺ缮":106367,"åľ¨åĨħçļĦ":106368,"ç¾İ好çļĦ":106369,"è¿ĻéĩĮçļĦ":106370,"ä¸Ģä¸Ŀ":106371,"人åĿĩ":106372,"åĢ¡å¯¼":106373,"身åIJİ":106374,"æī©å±ķ":106375,"大éŨ":106376,"就被":106377,"è¯¥é¡¹çĽ®":106378,"æŀ¶æŀĦ":106379,"ä¸Ģåı£":106380,"ä¿¡æģ¯æĬĢæľ¯":106381,"å¼Ģä¸ļ":106382,"æĶ¶åıĸ":106383,"ç½ij页":106384,"æĶ¯æı´":106385,"å°ģéĹŃ":106386,"å¡ijéĢł":106387,"大èĥĨ":106388,"å¿«éĢŁåıijå±ķ":106389,"çľĭä¼¼":106390,"æ¸Ŀ":106391,"è¿Ļæł·ä¸Ģ个":106392,"模åĿĹ":106393,"注æĦıåĪ°":106394,"çł´è§£":106395,"èĩªä»İ":106396,"åijµåijµ":106397,"ä¹ĭå¾Į":106398,"ä¹ĭæĹħ":106399,"è·ŁæĪij":106400,"æ³ķ人":106401,"æİĴè¡Įæ¦ľ":106402,"åĿļå®Ī":106403,"好å¤Ħ":106404,"çŁ³å¤´":106405,"并å°Ĩ":106406,"èĪ±":106407,"æŃĩ":106408,"两岸":106409,"å¤ļä¹ħ":106410,"象å¾ģ":106411,"个æĢ§åĮĸ":106412,"çļĦè§Ĵ度":106413,"å¸Ĩ":106414,"ç¦ıå·ŀ":106415,"æŁ¥å¤Ħ":106416,"ä¸¤åĽ½":106417,"åIJ¸å¼ķäºĨ":106418,"é¦ĸå¸Ń":106419,"大åĵ¥":106420,"é¤Ĭ":106421,"涨å¹ħ":106422,"éĢīçĶ¨":106423,"許å¤ļ":106424,"èIJ½æĪ·":106425,"åĵĪå°Ķ":106426,"åĵĪå°Ķ滨":106427,"åģļä»Ģä¹Ī":106428,"以åħį":106429,"é¾į":106430,"æĹłéľĢ":106431,"åĪ°åºķæĺ¯":106432,"æĢ¡":106433,"åijĬè¯īä½ł":106434,"éĺ²æ°´":106435,"è¿ĻæŶåĢĻ":106436,"欢ä¹IJ":106437,"转åIJij":106438,"è¿Ļä¸ªåľ°åĽ¾":106439,"åħ¥é©»":106440,"èįīåİŁ":106441,"æĹ¶ä»£çļĦ":106442,"åıĺåĬ¨":106443,"åĬłå¼ºå¯¹":106444,"åģ¶å°Ķ":106445,"å®ĪæĬ¤":106446,"æ°Ķ温":106447,"人éĹ´":106448,"æľĿé²ľ":106449,"ç»ıè´¹":106450,"åĽŃæŀĹ":106451,"å·¥åľ°":106452,"è§Ħæł¼":106453,"åĩłåįģ":106454,"è¯ķåĽ¾":106455,"å¦ĥ":106456,"éĤ£æŶåĢĻ":106457,"å¼ĺæī¬":106458,"ä¸ļçķĮ":106459,"çļĦéĢŁåº¦":106460,"ä¼ļä¸įä¼ļ":106461,"èIJ¥æĶ¶":106462,"å°ıå¾®ä¼ģä¸ļ":106463,"çľĭè¿ĩ":106464,"æĬĬä»ĸ":106465,"éģµå¾ª":106466,"è¿Ļè¾¹":106467,"没æľī人":106468,"壶":106469,"æ¹ĸåįĹçľģ":106470,"æŀģåħ¶":106471,"çļĦ人çĶŁ":106472,"ä»ĸè¿ĺ":106473,"转åĮĸ为":106474,"èµ°è¿ĩ":106475,"æĬ±çĿĢ":106476,"çīĽå¥¶":106477,"ä¸ĩ亩":106478,"å¿ĥæĢģ":106479,"æĹ¥å¸¸çĶŁæ´»":106480,"ä½ĵæ£Ģ":106481,"æĻĥ":106482,"çŃīé¢ĨåŁŁ":106483,"æĩī該":106484,"åı¯ä»¥çľĭåĪ°":106485,"æī¾ä¸įåĪ°":106486,"èĢģå¹´":106487,"æĬĬæĪij":106488,"积åĪĨ":106489,"梳çIJĨ":106490,"绳":106491,"çļĦæĶ¿æ²»":106492,"å¸ĿåĽ½":106493,"éĻªä¼´":106494,"æ´Ľéĺ³":106495,"åħ¬æŃ£":106496,"å¼Ģåı£":106497,"çī¹èī²çļĦ":106498,"åĽ°å¢ĥ":106499,"ä¸Ĭæľī":106500,"ç«ĭä½ĵ":106501,"æīĵå·¥":106502,"åķ¤éħĴ":106503,"åľ¨éĤ£éĩĮ":106504,"éĤ£è¾¹":106505,"个åĪ«":106506,"ä¸Ģå®ļæĺ¯":106507,"çļĦéĩįè¦ģæĢ§":106508,"ä¸»å¼ł":106509,"åĴĮæľįåĬ¡":106510,"ä¸Ĭç½ij":106511,"è¡¥åĬ©":106512,"åıªéľĢ":106513,"弦":106514,"éģ®":106515,"åĬĽäºī":106516,"度è¿ĩ":106517,"èij¬":106518,"é¡¿æŶ":106519,"éĦī":106520,"纺ç»ĩ":106521,"åľ°åĿĹ":106522,"ä¿¡çĶ¨åį¡":106523,"ç½ļ款":106524,"åijĬè¯īæĪij":106525,"éĽĻ":106526,"书çĶ»":106527,"è¨Ńè¨Ī":106528,"æĢ»ä¼ļ":106529,"åĪ¤åĨ³":106530,"ä¿¡èªī":106531,"个èĤ¡":106532,"平常":106533,"æĢİ麼":106534,"ä½ĵçİ°åľ¨":106535,"é»Ħæ²³":106536,"åĽĽå·Ŀçľģ":106537,"羣缸":106538,"åIJĦé¡¹å·¥ä½ľ":106539,"åĬ¨åijĺ":106540,"å³°ä¼ļ":106541,"ä¸ĢæľŁ":106542,"æľīä¸Ģå®ļçļĦ":106543,"é«ĺ度éĩįè§Ĩ":106544,"ç¹ģèį£":106545,"åıijçİ°äºĨ":106546,"ç½ij红":106547,"æīĭæ³ķ":106548,"家åĽŃ":106549,"仪åĻ¨":106550,"è¾ĥä½İ":106551,"çļĦå®īåħ¨":106552,"æ¡IJ":106553,"ä»ĺ款":106554,"æĬijåĪ¶":106555,"åįĵè¶Ĭ":106556,"æŃ£éĿ¢":106557,"åĵij":106558,"强åĪ¶":106559,"ä»Ĭ天çļĦ":106560,"æĪĺèĥľ":106561,"楼å¸Ĥ":106562,"æĭ¿ä¸ĭ":106563,"é¢ľåĢ¼":106564,"举éĥ¨":106565,"çłĶåĪ¶":106566,"çļĦæĪĺçķ¥":106567,"åľ¨ä¸Ģ个":106568,"ä¸ī人":106569,"å®ĮäºĨ":106570,"æĸ°æĬĢæľ¯":106571,"ç»ıæµİæķĪçĽĬ":106572,"å¯Įæľī":106573,"澳洲":106574,"åĬ©çIJĨ":106575,"é¢Ĩåıĸ":106576,"è°Ń":106577,"çĩĥçĥ§":106578,"ç´łåħ»":106579,"éĤĦæľī":106580,"è¿ĽèĢĮ":106581,"ä»Ģä¹Īæĺ¯":106582,"çłĶ究ä¸Ńå¿ĥ":106583,"éĢĤçĶ¨äºİ":106584,"æİ¥æĶ¶":106585,"å¤±æľĽ":106586,"äºĮ级":106587,"éĹ´çļĦ":106588,"åİŁæłĩé¢ĺ":106589,"èªįçĤº":106590,"æį¡":106591,"对çĿĢ":106592,"对éĿ¢":106593,"ä¸ŃåİŁ":106594,"éĵĥ":106595,"çĶŁäº§çļĦ":106596,"åıijå¸ĥä¼ļ":106597,"士åħµ":106598,"è¿Ļåı¥è¯Ŀ":106599,"缴纳":106600,"ä¸Ģ个个":106601,"åѸçĶŁ":106602,"çĸijéĹ®":106603,"交èѦ":106604,"示èĮĥåĮº":106605,"天使":106606,"åľ¨ä¸Ĭæµ·":106607,"åIJĮæĻĤ":106608,"è½»æĺĵ":106609,"åĶ¯ä¸ĢçļĦ":106610,"çĥŃéĹ¹":106611,"ä¹IJè§Ĥ":106612,"çļĦ身份":106613,"åĸĦäºİ":106614,"大åİħ":106615,"èĤ¯å®ļæĺ¯":106616,"éĺ²çģ«":106617,"å¤ĸåĩº":106618,"æį®è¯´":106619,"é¡¹çĽ®çļĦ":106620,"ä¸Ģåı°":106621,"èĻļåģĩ":106622,"ä¸Ģç¬Ķ":106623,"ç«ĭæ³ķ":106624,"严èĤĥ":106625,"æī¿åĬŀ":106626,"åįģåĩł":106627,"çļĦ空éĹ´":106628,"æľ¬ç½ijç«Ļ":106629,"åģļå¾Ĺ":106630,"ä¿Ŀ温":106631,"æľĪåĪĿ":106632,"åľ¨ç½ijä¸Ĭ":106633,"åIJĦæĸ¹éĿ¢":106634,"ä¸ī天":106635,"交æĺĵæīĢ":106636,"解æŀIJ":106637,"åħļä¸Ń央":106638,"è¿Ľåĩºåı£":106639,"åĴĮ社ä¼ļ":106640,"次æķ°":106641,"ä¹ĭ家":106642,"维度":106643,"æ´¾åĩºæīĢ":106644,"产çĶŁäºĨ":106645,"带æľī":106646,"å¾Ī强":106647,"æľīäºĽäºº":106648,"å¹´åIJİ":106649,"äºĨ许å¤ļ":106650,"å¯Ĩ度":106651,"åŃ¦æľŁ":106652,"çıłæµ·":106653,"æľĢå¤ļçļĦ":106654,"è¾¹ç¼ĺ":106655,"容éĩı":106656,"第äºĮ个":106657,"ä¸Ģ缴æĺ¯":106658,"ä¸įç¦ģ":106659,"æŃ²":106660,"ä»ĭç»įäºĨ":106661,"ä¼ĺéĽħ":106662,"æ¯Ķè¼ĥ":106663,"èģĮä½į":106664,"温æŁĶ":106665,"æľīéĴ±":106666,"æľĢé«ĺçļĦ":106667,"åįļè§Īä¼ļ":106668,"ä¸įæĪIJ":106669,"éĶĻäºĨ":106670,"è¯ģçĽij":106671,"è¯ģçĽijä¼ļ":106672,"æĪIJ人":106673,"åĿĩåĮĢ":106674,"æľīåĪ©":106675,"è¶ĬåįĹ":106676,"æīĵäºĨ":106677,"好åIJĥ":106678,"系統":106679,"è·Łéļı":106680,"çļĦåľ°ä½į":106681,"æŃ£å¦Ĥ":106682,"ç¨įå¾®":106683,"åį°åıij":106684,"åĪĽç«ĭ":106685,"é£İåħī":106686,"å°ĨæĪIJ为":106687,"ä¸įé«ĺ":106688,"é¢ijç¹ģ":106689,"设æľī":106690,"ä¼ŀ":106691,"æĭĨéĻ¤":106692,"å½±åĥı":106693,"æ¸ĹéĢı":106694,"å¹´å¼Ģå§ĭ":106695,"ç½ijæĺĵ":106696,"è¦ģåģļ":106697,"çĶµåĬ¨è½¦":106698,"羣å¿ĥ":106699,"æµ·åĨĽ":106700,"ä¼łæĿ¥":106701,"å·®åĪ«":106702,"è°¨æħİ":106703,"çĥŁåı°":106704,"åįĥå¹´":106705,"è¯ģå®ŀ":106706,"çIJª":106707,"çļĦåħ·ä½ĵ":106708,"åĪ°å¤Ħ":106709,"ä¸įå®ľ":106710,"èľĢ":106711,"èĥ½åĬĽåĴĮ":106712,"çīºçī²":106713,"çļĦéĴ±":106714,"大éĺŁ":106715,"é¦ĸè¦ģ":106716,"ä¸įæĦ¿":106717,"çİ«çij°":106718,"人æ°ijç½ij":106719,"è¿ĺæĺ¯è¦ģ":106720,"åĽĽå¹´":106721,"æįŁä¼¤":106722,"çļĦåģļæ³ķ":106723,"éĿĪ":106724,"è¡Ķæİ¥":106725,"åIJĪæĪIJ":106726,"没人":106727,"éĹ¨æ§Ľ":106728,"ä¿¡è´·":106729,"çļĦ缸åħ³":106730,"举é£İ":106731,"社ä¿Ŀ":106732,"ä¸ĭ游":106733,"åĿĹéĴ±":106734,"è¿ĩåIJİ":106735,"çļĦåºĶçĶ¨":106736,"饶":106737,"é¢ģåıij":106738,"ä¸Ģå¤Ħ":106739,"åįİå¤ı":106740,"为ä¼ģä¸ļ":106741,"åıªä¼ļ":106742,"侵害":106743,"çļĦåĬŁèĥ½":106744,"åѸç¿Ĵ":106745,"ä¸Ńåįİæ°ijæĹı":106746,"åıijå¸ĥäºĨ":106747,"è¿İæİ¥":106748,"æĪijèĩªå·±":106749,"è¿ĺéľĢè¦ģ":106750,"太éĺ³èĥ½":106751,"åİ»ä¸ĸ":106752,"æĺ¯ä½ł":106753,"åIJĪåĬĽ":106754,"ç»ĺçĶ»":106755,"åı°åĮĹ":106756,"çĿ£ä¿ĥ":106757,"åĮĹéĥ¨":106758,"æľīå¤ļå°ij":106759,"å¾Īéĩįè¦ģ":106760,"åĪĴåĪĨ":106761,"åı·çº¿":106762,"æĶ¾å¤§":106763,"ä¼ļ被":106764,"èİ·å¥ĸ":106765,"ä¹ĭåĨħ":106766,"失åİ»äºĨ":106767,"çݩ家们":106768,"éĩĩéĽĨ":106769,"壹":106770,"家ä¼Ļ":106771,"çĻ½å¤©":106772,"åĽłä¸ºä»ĸ":106773,"社ä¼ļæ²»çIJĨ":106774,"å¼ĢåĪĽ":106775,"çĶµç¼Ĩ":106776,"æĸ°ä¸Ģ代":106777,"并è´Ń":106778,"就已ç»ı":106779,"çļĦ社ä¼ļ":106780,"éĻ¤éĿŀ":106781,"åı¯ä»¥çĶ¨":106782,"å©ī":106783,"æ¯Ķè¾ĥ好":106784,"å®ŀä¸ļ":106785,"åĪĽåĬŀ":106786,"æıIJèµ·":106787,"é»ĥ":106788,"ä½ıåľ¨":106789,"å¸ĤæĶ¿":106790,"éĿ¢ä¸´çļĦ":106791,"èĥ½åľ¨":106792,"çŁŃçŁŃ":106793,"çľŁäºº":106794,"æĺİæĺİ":106795,"èµĦåĬ©":106796,"çļĦä¸įåIJĮ":106797,"å°ıæľĭåıĭ":106798,"é¢ĺæĿIJ":106799,"ç¾İåij³":106800,"æĺŁåº§":106801,"ä¸įä¸Ģæł·çļĦ":106802,"çľĭä¸Ĭåİ»":106803,"ä¸Ģæł¹":106804,"广å·ŀå¸Ĥ":106805,"åıijçĶŁçļĦ":106806,"é«ĺç§ijæĬĢ":106807,"ä¸Ģè¾ĪåŃIJ":106808,"交åıī":106809,"ä½ĵ系建设":106810,"åĽłä¸ºæĪij":106811,"çıįæĥľ":106812,"ä¸ĬåѦ":106813,"æĪĺæľ¯":106814,"æѤ类":106815,"交å¾Ģ":106816,"æĮīæij©":106817,"人们çļĦ":106818,"åħ¶å¯¦":106819,"åİŁæĿIJæĸĻ":106820,"æ¸´æľĽ":106821,"缸å¤Ħ":106822,"微微":106823,"æ®·":106824,"ä¹ĺåĿIJ":106825,"å¼Ģå±ķäºĨ":106826,"é«ĺåĵģè´¨":106827,"æĹłäººæľº":106828,"ä¸įæĺ¯å¾Ī":106829,"çļĦæĬķèµĦ":106830,"èĬĤçľģ":106831,"èĩī":106832,"ç²¾éĢī":106833,"çļĦæłĩåĩĨ":106834,"åįĹéĥ¨":106835,"认è¯ĨåĪ°":106836,"å¹³éĿĻ":106837,"èĹ¥":106838,"æī«é»ij":106839,"æī«é»ijéĻ¤":106840,"æī«é»ijéĻ¤æģ¶":106841,"éĢĻ種":106842,"建çŃijéĿ¢ç§¯":106843,"ç¡®ç«ĭ":106844,"管çIJĨåĬŀæ³ķ":106845,"æĦıå¿Ĺ":106846,"丨":106847,"让åŃ©åŃIJ":106848,"æķijçģ¾":106849,"å½ĵä»Ĭ":106850,"çģ«çģ¾":106851,"åIJĦéĥ¨éŨ":106852,"ä¾µçĬ¯":106853,"æ¯ıåij¨":106854,"æı½":106855,"ä¸Ģ次æĢ§":106856,"åħ¶ä»ĸ人":106857,"éĶĻè¿ĩ":106858,"ä¸İåħ¶":106859,"åĭĩæ°Ķ":106860,"çĩĥæ°Ķ":106861,"é¦ĸå±Ĭ":106862,"æľį饰":106863,"ç²¥":106864,"å®Įæ¯ķ":106865,"å°±æĬĬ":106866,"åĬŀäºĭå¤Ħ":106867,"ä¸Ģä¼ļåĦ¿":106868,"离ä¸įå¼Ģ":106869,"å¦ĤæŀľæĤ¨":106870,"ä»ĵåºĵ":106871,"导å¸Ī":106872,"åIJĪéĢĤçļĦ":106873,"毫米":106874,"å®īåħ¨æĢ§":106875,"ä¾Ŀçħ§":106876,"产ä¸ļåĮĸ":106877,"ä½łçľĭ":106878,"羣çļĦå¾Ī":106879,"åѤçĭ¬":106880,"éĺ²å¾¡":106881,"å¾Īç®Ģåįķ":106882,"é£İæ°´":106883,"ä½Ĩä¹Ł":106884,"æݨåĩºäºĨ":106885,"æ°ijèIJ¥ä¼ģä¸ļ":106886,"çłģ头":106887,"å¤įæĿĤçļĦ":106888,"ç»ĦæĪIJéĥ¨åĪĨ":106889,"åħħ满äºĨ":106890,"è¿ijåĩłå¹´":106891,"çľģæĶ¿åºľ":106892,"æľīå¿ħè¦ģ":106893,"éĻ³":106894,"ä¹ĭç±»":106895,"ä¹ĭç±»çļĦ":106896,"æĢ§ä»·":106897,"æĢ§ä»·æ¯Ķ":106898,"åķĨåºĹ":106899,"å¸ĤåĢ¼":106900,"人æīįåŁ¹åħ»":106901,"æ·±åıĹ":106902,"管çIJĨå±Ģ":106903,"æģIJæĥ§":106904,"ä»ħæľī":106905,"æĬµè¾¾":106906,"æµ·åħ³":106907,"èµĭäºĪ":106908,"äºĭåĦ¿":106909,"ä»·éĴ±":106910,"æīĭä¸Ĭ":106911,"èĩªå¾ĭ":106912,"åħ³çĪ±":106913,"享æľī":106914,"éģĹæĨ¾":106915,"å¾Īå¿«å°±":106916,"æĽ´å¿«":106917,"æłĩè¯Ĩ":106918,"åºĨç¥Ŀ":106919,"ä¹Łå¥½":106920,"ä¸įæĺĵ":106921,"æĪijå¾Ī":106922,"æĶ¹éĿ©åıijå±ķ":106923,"å¤ĸåľ°":106924,"æĬµæĬ¼":106925,"è¯Ĺ人":106926,"åİķæīĢ":106927,"æĸ°åªĴä½ĵ":106928,"èĸĽ":106929,"è°Īè¯Ŀ":106930,"ä¸Ģå®ļç¨ĭ度":106931,"èµ°åľ¨":106932,"æľĢ强":106933,"åĬŁçİĩ":106934,"åħ±è¯Ĩ":106935,"大桥":106936,"ä¸ĭæĸ¹":106937,"å¤ĸèµĦ":106938,"碱":106939,"å·¡è§Ĩ":106940,"æ¹ĸåĮĹçľģ":106941,"个çĻ¾åĪĨ":106942,"个çĻ¾åĪĨçĤ¹":106943,"çļĦ责任":106944,"çļĦåĵģçīĮ":106945,"åĬ©æݨ":106946,"åĪĽéĢłäºĨ":106947,"ä»»èģĮ":106948,"å¿«æį·":106949,"æĿijåºĦ":106950,"åİ»çľĭ":106951,"æīįèĥ½å¤Ł":106952,"層":106953,"æĪij家":106954,"æĺ¯ä¸Ģ款":106955,"ç¾ħ":106956,"åĨ°éĽª":106957,"æŀģ大":106958,"çģ¯åħī":106959,"éĨĭ":106960,"ä¸İåħ¶ä»ĸ":106961,"æıIJåĩºçļĦ":106962,"éĿłè¿ij":106963,"è°ĥåĬ¨":106964,"å°½åı¯èĥ½":106965,"åıijåĬĽ":106966,"ç»Ļ她":106967,"éĢĤéĩı":106968,"è·¨åĽ½":106969,"åħĪè¡Į":106970,"æĸ°æĿIJæĸĻ":106971,"ä½ľäºĨ":106972,"满äºĨ":106973,"ä¸į满":106974,"çļĦçľ¼çĿĽ":106975,"çľĭå¾Ĺ":106976,"è¿Ļä¸Ģ次":106977,"é½IJåħ¨":106978,"çļĦä¸Ģéĥ¨åĪĨ":106979,"ä¸Ļ":106980,"æ¸ħæĸ°":106981,"說æĺİ":106982,"身边çļĦ":106983,"æīĢæľī人":106984,"å½°æĺ¾":106985,"è±¹":106986,"åį¿":106987,"è¿IJ转":106988,"æĮĩå¼ķ":106989,"å¸Ĥåħ¬å®īå±Ģ":106990,"åıĤå±ķ":106991,"ä¹ĭæŶ":106992,"éĩijèŀįæľįåĬ¡":106993,"èµĦæľ¬å¸Ĥåľº":106994,"èĥ½è®©":106995,"å¿ĺäºĨ":106996,"天åłĤ":106997,"æ¯Ķå¦Ĥ说":106998,"éĬĢè¡Į":106999,"èĽĭç³ķ":107000,"çĶ©":107001,"æł¸å®ŀ":107002,"æĻ®äº¬":107003,"ä¼ĺç¾İ":107004,"åı£èħĶ":107005,"漫çĶ»":107006,"çľ¼éĩĮ":107007,"äºĨä¸ĭæĿ¥":107008,"æĪijä»¬ä¹Ł":107009,"ä¾į":107010,"为ä¸Ńå¿ĥ":107011,"å¥ĩ迹":107012,"éĿĴçĿIJ":107013,"æĪªèĩ³çĽ®åīį":107014,"åĩºä¾Ĩ":107015,"æĢ»åħ¬åı¸":107016,"弥补":107017,"ç®Ĺæ³ķ":107018,"å·¥ä½ľå®¤":107019,"æīĢ以æĪij":107020,"æ°´åĪĨ":107021,"æīĢå±ŀ":107022,"ä¸į说":107023,"ä½Ĩæĺ¯åľ¨":107024,"è¦ģåİ»":107025,"åĪĽä¸ļèĢħ":107026,"ä¸įæ¸ħæ¥ļ":107027,"åĽĽåij¨":107028,"æĺ¯ä»İ":107029,"çļĦæł¹æľ¬":107030,"çģ¶":107031,"æ¯Ľæ³½":107032,"æ¯Ľæ³½ä¸ľ":107033,"æµ·åı£":107034,"åĽĽåįģ":107035,"ä¹Łè¢«":107036,"èģ·":107037,"ä¸Ģæīĭ":107038,"绩æķĪ":107039,"çļĦçĶ·äºº":107040,"书ç±į":107041,"ä¸ĢèĦ¸":107042,"大äºİ":107043,"鼶éĥ¨ä»¶":107044,"åħ³æĢĢ":107045,"平米":107046,"æļ´éľ²":107047,"å¾Ĺå¤ļ":107048,"ä¸ī级":107049,"æľ¬åij¨":107050,"两èĢħ":107051,"对ä¸ŃåĽ½":107052,"åıªè§ģ":107053,"欧ç¾İ":107054,"å¦Ĥæŀľæľī":107055,"å·²ç»ıæĺ¯":107056,"çľĭå®Į":107057,"çģ«éĶħ":107058,"èµIJ":107059,"ä¸Ģéģį":107060,"æĦŁåĨĴ":107061,"ç»ĵå±Ģ":107062,"ä»ĵåĤ¨":107063,"å®ŀåľ°":107064,"åī¯æĢ»ç»ıçIJĨ":107065,"ä¹Łä¸įçŁ¥éģĵ":107066,"碰åĪ°":107067,"åIJĪ计":107068,"客æĪ·çļĦ":107069,"ç½Ĺ马":107070,"æĦīå¿«":107071,"é£Ľ":107072,"çĥŃçĥĪ":107073,"伦æķ¦":107074,"åĮ»ä¿Ŀ":107075,"éĺ¿éĩĮå·´å·´":107076,"åĨį说":107077,"ä¸ºåŁºç¡Ģ":107078,"çĶŁäº§ç»ıèIJ¥":107079,"è¿ĻäºĽäºº":107080,"åĪĹ车":107081,"æ²³åĮĹçľģ":107082,"è¿Ļ段":107083,"æ´»åĬ¨ä¸Ń":107084,"å©·":107085,"çĶŁçIJĨ":107086,"ä¸ŃåĽ½äººæ°ij":107087,"éĦĤ":107088,"åIJ¬åıĸ":107089,"å¤įä¹ł":107090,"æľīçĽĬ":107091,"æĶ¶æĭ¾":107092,"å¾Īåı¯èĥ½":107093,"ç½ijç»ľæ¸¸æĪı":107094,"们çļĦ":107095,"èµĭèĥ½":107096,"éļ¾å¾Ĺ":107097,"åĪĨæīĭ":107098,"羣è¯ļ":107099,"åħ¬åı¸åľ¨":107100,"åĿĩè¡¡":107101,"åı£åij³":107102,"çīµå¤´":107103,"ä¸ĢèĪ¬çļĦ":107104,"轿车":107105,"çŃīäºİ":107106,"æ²īé»ĺ":107107,"æĪijéĥ½":107108,"å°ıç¨ĭåºı":107109,"ä¸Ģåī¯":107110,"æī¿è½½":107111,"åľ°è´¨":107112,"çķĮéĿ¢":107113,"çĶµæľº":107114,"çĦ¦èĻij":107115,"éĶĢåĶ®é¢Ŀ":107116,"æĸ°è½¦":107117,"ä¸Ĭ游":107118,"主æ¼Ķ":107119,"éļIJç§ģ":107120,"åıijå±ķæĪĺçķ¥":107121,"çļĦåĬªåĬĽ":107122,"å¼Ģåħ³":107123,"解åĨ³éĹ®é¢ĺ":107124,"çĿ£å¯¼":107125,"对æĬĹ":107126,"å¾Īå¤ļ人éĥ½":107127,"æĹłæķĪ":107128,"产åĵģè´¨éĩı":107129,"å®īå¿ĥ":107130,"åįİ人":107131,"ä¸į符åIJĪ":107132,"èĩªå®¶":107133,"éĺµå®¹":107134,"çļĦåIJĦç§į":107135,"çļĦçIJĨ念":107136,"çļĦæĸĩåĮĸ":107137,"为èĩªå·±":107138,"山水":107139,"游泳":107140,"éľĩèį¡":107141,"çĶŁæ´»æĸ¹å¼ı":107142,"è¿ľç¦»":107143,"çŁ³åĮĸ":107144,"æѤäºĭ":107145,"æĺ¯çľŁçļĦ":107146,"çļĦæ¯Ķä¾ĭ":107147,"çĶ¨çĶµ":107148,"奥è¿IJä¼ļ":107149,"ä¿Ŀå®ī":107150,"èĽĭçĻ½è´¨":107151,"çļĦå¿ĥçIJĨ":107152,"å·«":107153,"åı·çłģ":107154,"æ°Ķä½ĵ":107155,"åıijæĶ¹":107156,"åıijæĶ¹å§Ķ":107157,"åĮ»å¸Ī":107158,"æ¶ĤæĸĻ":107159,"æĺĬ":107160,"å¸Ĥ级":107161,"ä¸ĸçķĮçļĦ":107162,"åĪĨåĪ«æĺ¯":107163,"çł´äº§":107164,"ä¸ĢæĿ¯":107165,"æĭīå¼Ģ":107166,"å¹³åĩ¡":107167,"çļĦåıijçĶŁ":107168,"åĬ¨æīĭ":107169,"ä¸ĢçĽ´ä»¥æĿ¥":107170,"æīĭå·¥":107171,"éĩĮéĿ¢çļĦ":107172,"æĹłåħ³":107173,"ä»ĭåħ¥":107174,"èµ°ä¸Ĭ":107175,"å°±æĺ¯è¦ģ":107176,"å¹´éĹ´":107177,"åĩºçı¾":107178,"å½±éŁ¿":107179,"å¹ħ度":107180,"éĽģ":107181,"éģĵåħ·":107182,"缮çļĦåľ°":107183,"åIJİèĢħ":107184,"ä¸Ĭæ¼Ķ":107185,"äºĨåĩł":107186,"æ®ĭçĸ¾äºº":107187,"å¿Ļç¢Į":107188,"æĺ¯åIJ¦æľī":107189,"并对":107190,"ä¼ļ导èĩ´":107191,"æ°´åºĵ":107192,"ç»Ĩèĩ´":107193,"åIJİæĤĶ":107194,"å¿ĥæĢĿ":107195,"åģļäºĭ":107196,"åİĤæĪ¿":107197,"çĿ¿":107198,"è¿IJèIJ¥åķĨ":107199,"头éĥ¨":107200,"çļĦè§Ĵèī²":107201,"æĺ¯ä»ĸ":107202,"æĹ¢æľī":107203,"å°ıæŶåĢĻ":107204,"强åĬ²":107205,"主æĴŃ":107206,"åħ¨åĽ½åIJĦåľ°":107207,"æįı":107208,"æįŁåĿı":107209,"åķĨä¼ļ":107210,"ä¿Ŀç½Ĺ":107211,"çľģå¸Ĥ":107212,"éļ§éģĵ":107213,"æľīä¸įå°ij":107214,"è¦ģåľ¨":107215,"å»ºè®¾é¡¹çĽ®":107216,"ç³ĸå°¿":107217,"ç³ĸå°¿çĹħ":107218,"æĿ¡ä»¶ä¸ĭ":107219,"ä¼ĺè´¨çļĦ":107220,"é¦ĸåıij":107221,"å½ĵæŶçļĦ":107222,"丰çĶ°":107223,"大çĽĺ":107224,"缸继":107225,"å®ģå¤ı":107226,"åħ¥ä½ı":107227,"æĪijè¿ĺ":107228,"åħĭæĸ¯":107229,"å®ļä»·":107230,"å¹³æĸ¹åħ¬éĩĮ":107231,"çļĦçŁ¥è¯Ĩ":107232,"æĪij们ä¼ļ":107233,"åħĥå®Ŀ":107234,"ä½ĵéĩį":107235,"è³£":107236,"对æĪij们":107237,"çŁ³å®¶":107238,"çŁ³å®¶åºĦ":107239,"ç²¾åįİ":107240,"å½¢çĬ¶":107241,"åıĹåĪ°äºĨ":107242,"修订":107243,"ç¾İåľĭ":107244,"é«ĺæ¸ħ":107245,"çľ¼éķľ":107246,"è§īå¾Ĺèĩªå·±":107247,"带ç»Ļ":107248,"åĶ®ä»·":107249,"éĹ¨ç¥¨":107250,"åŃķå¦ĩ":107251,"çĶµè§Ĩåı°":107252,"åıijä½ľ":107253,"çļĦåij³éģĵ":107254,"éķ¿è¿ľ":107255,"åħ¬åħ±æľįåĬ¡":107256,"æŃ£å¸¸çļĦ":107257,"æľīè¿ĩ":107258,"é£İæĥħ":107259,"æ¯Ķéĩį":107260,"åIJ»":107261,"管çIJĨå·¥ä½ľ":107262,"综åIJĪæĢ§":107263,"已被":107264,"说起":107265,"æİĴæ°´":107266,"ä¸įæĸŃåľ°":107267,"æĥħæĢĢ":107268,"è¾ĵéĢģ":107269,"è¿ĩæķı":107270,"çļĦåı¯èĥ½æĢ§":107271,"æľįçĶ¨":107272,"æľī许å¤ļ":107273,"å§Ķåī¯ä¹¦è®°":107274,"åĮĸå¦Ĩåĵģ":107275,"æļĤåģľ":107276,"æĬķèµĦ人":107277,"çıŃ级":107278,"说çĿĢ":107279,"åįĹåĮĹ":107280,"åĪĨè¡Į":107281,"çıłå®Ŀ":107282,"寶":107283,"å¢ŀå¤ļ":107284,"被åĬ¨":107285,"çī¹æ®ĬçļĦ":107286,"éĹľä¿Ĥ":107287,"çļĦèĦ¸":107288,"æĥŁ":107289,"ä¸įä¸Ģå®ļ":107290,"ç¶Ń":107291,"çģ«çĪĨ":107292,"秣éĩij":107293,"çŀ§":107294,"éĩį建":107295,"è·ª":107296,"ä¸Ģ種":107297,"çļĦåIJĪä½ľ":107298,"å®īæħ°":107299,"ä»įæĺ¯":107300,"ä¸ĵä¸ļåĮĸ":107301,"è°ĥ解":107302,"ä¸į妨":107303,"éĢĻæĺ¯":107304,"å¿ħéłĪ":107305,"ä¼ĬæľĹ":107306,"å¾ĹäºĨ":107307,"æľįåĬ¡å¹³åı°":107308,"姬":107309,"åħĪéĶĭ":107310,"çİĭåŃIJ":107311,"çļĦä¸ĢåĪĩ":107312,"æĢ»çIJĨ":107313,"åĵ¼":107314,"çªij":107315,"çļĦå¿ĥæĥħ":107316,"çļĦéĩį大":107317,"çijŁ":107318,"ä¸Ģç¬ij":107319,"åıijå±ķä¸Ń":107320,"åģ¥åº·åıijå±ķ":107321,"åĵģçīĮçļĦ":107322,"禮":107323,"ä½Ļ人":107324,"ä»Ĭ年以æĿ¥":107325,"æķ°çłģ":107326,"çŃ¾è¯ģ":107327,"åİ»æī¾":107328,"åŁºéĩijä¼ļ":107329,"æĬ±æĢ¨":107330,"æŃ£å½ĵ":107331,"çıŃåŃIJæĪIJåijĺ":107332,"ä¸įåIJĪæł¼":107333,"åĪ¶å®ļäºĨ":107334,"ç¼ĵæħ¢":107335,"åĪ¶çº¦":107336,"æłı缮":107337,"å¸Ĥåľºç»ıæµİ":107338,"ç»ĦæĪIJçļĦ":107339,"严峻":107340,"æĹ¥è®¯":107341,"ä¸ĢçĤ¹çĤ¹":107342,"æĺ¯æĢİä¹Ī":107343,"çļĦçħ§çīĩ":107344,"éĺ»æŃ¢":107345,"模ç³Ĭ":107346,"缸":107347,"éģķåıį":107348,"æIJ¬è¿ģ":107349,"éĩijéĴ±":107350,"彬":107351,"ä¸įå®ī":107352,"æĪĺçķ¥åIJĪä½ľ":107353,"å¡«åĨĻ":107354,"讲究":107355,"åħħåĪĨåĪ©çĶ¨":107356,"èĥ½å¤ł":107357,"èij¡èIJĦéħĴ":107358,"éĩĩçĶ¨äºĨ":107359,"åľ¨ä»Ĭå¹´":107360,"ä¸Ńå°ıåѦ":107361,"åľ¨æĦı":107362,"çļĦåİĭåĬĽ":107363,"ä¸į幸":107364,"åĪ¶èį¯":107365,"åı¯ä»¥è®©":107366,"被è¯Ħ为":107367,"ç»ĨèıĮ":107368,"æĪıåī§":107369,"åįĬ导":107370,"åįĬ导ä½ĵ":107371,"è§Ĩè§Ĵ":107372,"åĸľæŃ¡":107373,"å¾ģæĶ¶":107374,"è°ĭåĪĴ":107375,"æŀģ大çļĦ":107376,"çĤ¹èµŀ":107377,"è®°èĢħä»İ":107378,"两åIJį":107379,"èĩªåĬ©":107380,"èµ·æŃ¥":107381,"æĬ¤å£«":107382,"å®Ŀ马":107383,"太åŃIJ":107384,"å°ıå°ıçļĦ":107385,"温æ³ī":107386,"åĩºç§Łè½¦":107387,"秣æĪ¿":107388,"两家":107389,"éľĩæĴ¼":107390,"ç§īæī¿":107391,"ä¸Ģ件äºĭ":107392,"çĥĪ士":107393,"å®ĺåħµ":107394,"转身":107395,"ä¹IJåĽŃ":107396,"çĻĮçĹĩ":107397,"模èĮĥ":107398,"æĦ£":107399,"è¿ĩåİ»çļĦ":107400,"代价":107401,"çļĦæ¦Ĥ念":107402,"åĩłçĻ¾":107403,"è´µéĺ³":107404,"æĭħ忧":107405,"éĢĤå®ľ":107406,"çݯå¢ĥä¿ĿæĬ¤":107407,"çĥ«":107408,"ä½łæĥ³":107409,"æѤåIJİ":107410,"ä½łä¹Ł":107411,"çįİ":107412,"éĻ¤æѤ":107413,"éĻ¤æѤä¹ĭå¤ĸ":107414,"è°ĥ度":107415,"ç§ij缮":107416,"æīĢ说çļĦ":107417,"åĬĩ":107418,"忽è§Ĩ":107419,"ä¸ī次":107420,"ä¸ĢæĹ¥":107421,"åŀĤ缴":107422,"ç«ŀæĬĢ":107423,"éĿ¢åĮħ":107424,"大æĪĺ":107425,"æIJºå¸¦":107426,"å¦Ĥæŀľæ²¡æľī":107427,"åħ»æĪIJ":107428,"åĩºè¡Ģ":107429,"çĪ±å¥½èĢħ":107430,"æīĵéĢļ":107431,"èµ·è¯ī":107432,"åijĪçİ°åĩº":107433,"æŃĮæīĭ":107434,"åľ¨å¤ĸ":107435,"é¢Ĩ导干éĥ¨":107436,"åĨ¥":107437,"èĪĨ论":107438,"æıIJåıĸ":107439,"éĺ¿å°Ķ":107440,"æľĽçĿĢ":107441,"ä¸īäºļ":107442,"財":107443,"åĪ·æĸ°":107444,"æĻļæĬ¥":107445,"è¿ĺæľīä¸Ģ个":107446,"åĨ°ç®±":107447,"ç½ijçĤ¹":107448,"åĩºåħ·":107449,"强çĥĪçļĦ":107450,"æĪijçĽ¸ä¿¡":107451,"å¸ĮæľĽèĥ½":107452,"çīĻ齿":107453,"äºĭå®ľ":107454,"ä¸ļåĨħ人士":107455,"ä»£æĽ¿":107456,"åıĺå½¢":107457,"éĽ²":107458,"è°ĥæݧ":107459,"åĪĽæĸ°åĪĽä¸ļ":107460,"æĭĨè¿ģ":107461,"æł¸æŁ¥":107462,"éĢĹ":107463,"åħ¥åѦ":107464,"æĦıåIJij":107465,"æıĽ":107466,"ä¸ĭ次":107467,"ä¼łè¾ĵ":107468,"ä»ĸä»¬åľ¨":107469,"èĢĮä¸Ķè¿ĺ":107470,"æĹ¥åľ¨":107471,"æķĻè®Ń":107472,"æ´»çĿĢ":107473,"çļĦæľīæķĪ":107474,"å¤įå·¥å¤į":107475,"å¤įå·¥å¤į产":107476,"æĺ¯ä¸Ģ件":107477,"çŃīçĿĢ":107478,"復":107479,"åĭĩæķ¢":107480,"éģŃåıĹ":107481,"å¥Ķé©°":107482,"讲座":107483,"说å®Į":107484,"ç»Ļåĩº":107485,"è°¦":107486,"è¯ĬçĸĹ":107487,"çĽ²çĽ®":107488,"客è¿IJ":107489,"å°±è¿ŀ":107490,"å¼Ģåħĥ":107491,"å¼Ģåħĥæ£ĭçīĮ":107492,"ä¸įæĸŃæıIJåįĩ":107493,"çĶ¨æĪ·çļĦ":107494,"æĴķ":107495,"ä¾Ľæ°´":107496,"ç¶ĵæ¿Ł":107497,"ä¸ŃåĮ»èį¯":107498,"èģĶæĥ³":107499,"åħ¬äº¤è½¦":107500,"èĪªçıŃ":107501,"æĬĢè¡ĵ":107502,"å¼ķèµ·çļĦ":107503,"å°¹":107504,"èµĦæ·±":107505,"åĽ½èµĦå§Ķ":107506,"èĺŃ":107507,"é¼»åŃIJ":107508,"éĹ½":107509,"æİĴéĺŁ":107510,"è§Ĥåħī":107511,"éģĹåĿĢ":107512,"ä¸ľäº¬":107513,"é¥ŃåºĹ":107514,"ä¸įæĸŃçļĦ":107515,"å°±æĺ¯ä¸Ģ个":107516,"éķ¿ä¹ħ":107517,"çļĦè§ĤçĤ¹":107518,"娶":107519,"æĪijçİ°åľ¨":107520,"çķ°":107521,"å¾Ĺåĩº":107522,"å¿ħå®ļ":107523,"ä¸įåıĹ":107524,"åıªéľĢè¦ģ":107525,"åĽ°æī°":107526,"ç§ijåѦæĬĢæľ¯":107527,"çīĽèĤī":107528,"è¾ĥé«ĺçļĦ":107529,"è·ijæŃ¥":107530,"æ²¾":107531,"èı©èIJ¨":107532,"æľĢå¾Į":107533,"ä¿Ŀå¯Ĩ":107534,"æ²»å®ī":107535,"éĤ±":107536,"常è¯Ĩ":107537,"èĦ¸èī²":107538,"åĮĹ大":107539,"æ±ĩèģļ":107540,"æijĨèĦ±":107541,"é¾Ļ头ä¼ģä¸ļ":107542,"女åıĭ":107543,"çŃīå·¥ä½ľ":107544,"ä¸Ńç¾İ":107545,"èģĮåľº":107546,"èĦijè¢ĭ":107547,"åĨĻçļĦ":107548,"饲æĸĻ":107549,"åĬ³åĬ¨åĬĽ":107550,"屯":107551,"æĮģèĤ¡":107552,"åĽ¾åĥı":107553,"è¿ĩåİ»äºĨ":107554,"貨":107555,"è¾²":107556,"éĹ®æĪij":107557,"è·Łä½ł":107558,"çĶŁæŃ»":107559,"审ç¾İ":107560,"é¢Ĺç²Ĵ":107561,"ä¸Ńæĸ¹":107562,"åĬłçĥŃ":107563,"æĹħè¡Į社":107564,"çĻ¼çĶŁ":107565,"ä¸įåłª":107566,"åĤ·":107567,"æ¥ł":107568,"åĬŀæ¡Ī":107569,"æŁĦ":107570,"æĹ¢æĺ¯":107571,"å¤ĦåĪĨ":107572,"羣å®ŀçļĦ":107573,"æĬ¥çº¸":107574,"å¸ĪçĪ¶":107575,"å®īå¾½çľģ":107576,"åī¯ä¸»å¸Ń":107577,"ä¹ĭéģĵ":107578,"导弹":107579,"åŃ¦æł¡çļĦ":107580,"åŁİå¸ĤçļĦ":107581,"è°ĪåĪ°":107582,"æ¢Ĺ":107583,"å¹³éĿ¢":107584,"说ä»Ģä¹Ī":107585,"é¢ijçİĩ":107586,"éķ¿ä¸īè§Ĵ":107587,"çļĦåĪ©çĽĬ":107588,"黨":107589,"è±ĨèħIJ":107590,"å®ŀéĻħæĥħåĨµ":107591,"æŀĹä¸ļ":107592,"纪æ£ĢçĽijå¯Ł":107593,"ä½ıéĻ¢":107594,"çļĦæķ´ä½ĵ":107595,"åīįè¡Į":107596,"æĮ¨":107597,"çħ¤çŁ¿":107598,"åī¯æĢ»è£ģ":107599,"å°ıåIJĥ":107600,"æŀģ端":107601,"å©Ĩå©Ĩ":107602,"çİ°è´§":107603,"è¯ĹæŃĮ":107604,"éĴ¥åĮĻ":107605,"缩çŁŃ":107606,"ä½Ĩè¿Ļ":107607,"æĸ°åĵģ":107608,"è¿Ļ对":107609,"çŁ¥åIJį度":107610,"å¿ĹæĦ¿æľįåĬ¡":107611,"大å±Ģ":107612,"è¡¡éĩı":107613,"ä½ĵçİ°äºĨ":107614,"æ¡ĥèĬ±":107615,"åIJ¸å¼ķåĬĽ":107616,"åł¤":107617,"æĵħéķ¿":107618,"åĴĴ":107619,"çĽ¸æľº":107620,"ä¸Ģç«Ļ":107621,"ä¸Ģç«Ļå¼ı":107622,"æľĢç¾İ":107623,"æ°¸ä¹ħ":107624,"çļĦéĥ¨åĪĨ":107625,"åĪĨå·¥":107626,"å·¥ç¨ĭ建设":107627,"æIJŃè½½":107628,"æ°´ä¸Ń":107629,"èĮ¨":107630,"çļĦæĵįä½ľ":107631,"ç»Łæ²»":107632,"çķħéĢļ":107633,"åħļçļĦåįģ":107634,"輸":107635,"測":107636,"ç¾İè§Ĥ":107637,"ä¸įåĪ©":107638,"åıįæĢĿ":107639,"éªĦåĤ²":107640,"æłĩçļĦ":107641,"æĿĢ人":107642,"éĺ¿å§¨":107643,"é£ŁæĿIJ":107644,"åIJĥçļĦ":107645,"åIJİåĨį":107646,"çŁ£":107647,"两侧":107648,"æ¸ħæ°´":107649,"è¿ĽçIJĥ":107650,"å¼Ģå§ĭäºĨ":107651,"åIJ¬äºĨ":107652,"çĦĬæİ¥":107653,"磮":107654,"å¨Ł":107655,"为人":107656,"éĢģç»Ļ":107657,"åĨĴéĻ©":107658,"æķ·":107659,"ç»ĪæŃ¢":107660,"æīįçŁ¥éģĵ":107661,"è¿IJæ°Ķ":107662,"éĢļé£İ":107663,"æĥĬ讶":107664,"ç§ijåѦéĻ¢":107665,"æıIJéĹ®":107666,"太åİŁ":107667,"缸åIJĮçļĦ":107668,"ä»ķ":107669,"èģĸ":107670,"æĥħæ³ģ":107671,"é¢Ĩ导人":107672,"åĩºæĿ¥äºĨ":107673,"沿线":107674,"éĻ½":107675,"æĦŁè¦º":107676,"ä»įåľ¨":107677,"æ©Ļ":107678,"约为":107679,"åĸĿéħĴ":107680,"çĶ¨èį¯":107681,"ä¸ĭä¸Ģ":107682,"æ³ķå®ĺ":107683,"顺åºı":107684,"åģļä¸Ģ个":107685,"åĭ¢":107686,"æŃª":107687,"çĶµç«ŀ":107688,"ä¼´éļıçĿĢ":107689,"ä¹ĭåĬĽ":107690,"ä¹ĭ人":107691,"äºij计ç®Ĺ":107692,"åĪ«äººçļĦ":107693,"ç§ijåѦåıijå±ķ":107694,"第åħ«":107695,"å¹²æī°":107696,"女ç¥ŀ":107697,"è¿Ļæł·åģļ":107698,"å¤Ħåľ¨":107699,"æ°´è´¨":107700,"éķ¿æĺ¥":107701,"å¸ĤåľºéľĢæ±Ĥ":107702,"ç»´æĿĥ":107703,"èĢ³æľµ":107704,"æĸĩåĮĸçļĦ":107705,"奶ç²ī":107706,"ä¼łè¾¾":107707,"æīĭæľºçīĪ":107708,"æĽ¾åľ¨":107709,"äºĮæľŁ":107710,"åİŁåĽłæĺ¯":107711,"æºIJ头":107712,"åıĪèĥ½":107713,"裸":107714,"æĬĢæľ¯åĪĽæĸ°":107715,"æĸĩåĮĸæĹħ游":107716,"åıij票":107717,"年级":107718,"ä½łä¸į":107719,"ä¹ĭå¿ĥ":107720,"æķ°çĻ¾":107721,"åIJijå¾Ģ":107722,"èĢģ家":107723,"åľĭéļĽ":107724,"çļĦé«ĺ度":107725,"æľĿéĺ³":107726,"æ¸ħéĻ¤":107727,"èĩªæľī":107728,"书ä¸Ń":107729,"游æĪıè£ħå¤ĩ":107730,"ä¸ĩå¤ļ":107731,"驾驶åijĺ":107732,"ä½łçŁ¥éģĵ":107733,"åĽ½åºĨ":107734,"é£ŁåłĤ":107735,"æİ¥åı£":107736,"æĢ»æķ°":107737,"åħ¶ä»ĸçļĦ":107738,"çĶŁåij½çļĦ":107739,"ä½łåľ¨":107740,"çļĦ缮åħī":107741,"è¿Ļæĸ¹éĿ¢":107742,"éĥ½è¯´":107743,"çĸĹæ³ķ":107744,"åĭĩ士":107745,"åľ¨åħ¨çIJĥ":107746,"ä¿ĿéĻ©åħ¬åı¸":107747,"çĿ£æŁ¥":107748,"åĸĦèī¯":107749,"表彰":107750,"è¹²":107751,"路段":107752,"æľĥåĵ¡è¦ı":107753,"æľĥåĵ¡è¦ıç¯Ħ":107754,"æĪ·åŀĭ":107755,"ä¿ĥ使":107756,"修建":107757,"é«ĺæ°´å¹³":107758,"åģļåĩºäºĨ":107759,"ä¸»åľº":107760,"è¡Įèµ°":107761,"空çĻ½":107762,"æľī人说":107763,"è¿Ļ个ä¸ĸçķĮ":107764,"åIJįä¹ī":107765,"å®Įç¾İçļĦ":107766,"羡æħķ":107767,"åıĬåħ¶ä»ĸ":107768,"åı¯çĶ¨":107769,"æĭIJ":107770,"è¾ĥ大çļĦ":107771,"æĬĢæľ¯åĴĮ":107772,"å°¼äºļ":107773,"çĻ¾è´§":107774,"æıī":107775,"éĢīè´Ń":107776,"éĺŁåıĭ":107777,"ä¼łæĦŁ":107778,"ä¼łæĦŁåĻ¨":107779,"åıªè¦ģä½ł":107780,"为ä»Ģä¹Īè¦ģ":107781,"ä¸ĵ注äºİ":107782,"ä½Ļé¢Ŀ":107783,"åħ¸åŀĭçļĦ":107784,"缮åīįå·²":107785,"æ¬²æľĽ":107786,"èģĶ绾":107787,"æµģä¼ł":107788,"çļĦ家åºŃ":107789,"åı·åı¬":107790,"çıįè´µ":107791,"ä¼Łå¤§çļĦ":107792,"éī´äºİ":107793,"è·Łä»ĸ":107794,"产çī©":107795,"ä¸įå·²":107796,"è¿Ŀæ³ķè¡Į为":107797,"头ä¸Ĭ":107798,"åĪĨ解":107799,"åı¯ä»¥çľĭåĩº":107800,"æł¡åĮº":107801,"åŃĹä½ĵ":107802,"ä¿®çĤ¼":107803,"çĶļèĩ³æĺ¯":107804,"微信åħ¬ä¼Ĺ":107805,"åıĸ代":107806,"èIJ¥ä¸ļæĶ¶åħ¥":107807,"æ½įåĿĬ":107808,"ä½łèĥ½":107809,"社ä¼ļä¿Ŀéļľ":107810,"æ¯ĶèµĽä¸Ń":107811,"污水å¤ĦçIJĨ":107812,"夫å¦ĩ":107813,"ä¸Ģå¹ħ":107814,"沿海":107815,"åı£æĦŁ":107816,"ä½Ĩåį´":107817,"å½ĵæĹ¥":107818,"çļĦæľĢ大":107819,"æ¯ıä¸Ģä½į":107820,"没äºĭ":107821,"çī¹åĪ¥":107822,"å¼ĢåѦ":107823,"è·¯éĿ¢":107824,"å¿ĥçIJĨåѦ":107825,"æĶ¾ç½®":107826,"éĩįåºĨå¸Ĥ":107827,"ä½łèĩªå·±":107828,"æ¶Īè´¹èĢħçļĦ":107829,"ä¸Ģæ³¢":107830,"èѦæĥķ":107831,"åį§å®¤":107832,"注å°Ħ":107833,"é£İ鼨":107834,"沿çĿĢ":107835,"åijĬ訴":107836,"表çİ°åĩº":107837,"åĽĽæĺ¯":107838,"åı¤åħ¸":107839,"æĽ´éĩįè¦ģçļĦ":107840,"好äºĭ":107841,"çľ¼æ³ª":107842,"æ¨ĵ":107843,"审åĪ¤":107844,"碰æĴŀ":107845,"车ç«Ļ":107846,"è¿Ľåħ¥äºĨ":107847,"éĽĨåIJĪ":107848,"æł¼å¤ĸ":107849,"宾é¦Ĩ":107850,"æĶ¯ä»ĺå®Ŀ":107851,"她æĺ¯":107852,"æĺ¯å¦Ĥä½ķ":107853,"人次":107854,"çļĦæĪIJåĬŁ":107855,"æĹłåĬĽ":107856,"æµ·æĭĶ":107857,"æĺ¥åŃ£":107858,"éĥ½ä¸įä¼ļ":107859,"çŃīå¤ļç§į":107860,"ä¸Ģ个å°ı":107861,"åģľè½¦åľº":107862,"è®©æĽ´å¤ļ":107863,"è¿ĻçĤ¹":107864,"æĪIJåĵģ":107865,"éĴī":107866,"éģĩè§ģ":107867,"çıŃ主任":107868,"æĦıæĦ¿":107869,"çļĦåIJĮåѦ":107870,"游è§Ī":107871,"åİĭ缩":107872,"åľ¨ä¼łå¥ĩ":107873,"å¼¹æĢ§":107874,"æĹ¥åĨħ":107875,"ç¦ı建çľģ":107876,"è§ĴèIJ½":107877,"åĪĨå¼Ģ":107878,"ä¼ļ让":107879,"å¤ĸåĽ´":107880,"çĨŁæĤīçļĦ":107881,"çĨĶ":107882,"ä¸ĩè¾Ĩ":107883,"å¤ľéĹ´":107884,"车身":107885,"ä¸ŃæľŁ":107886,"å®ĮåĸĦçļĦ":107887,"åĵģç±»":107888,"åıĭè°Ĭ":107889,"éĢīæĭĶ":107890,"éªij士":107891,"彦":107892,"çļĦçľĭæ³ķ":107893,"åĽ½çİĭ":107894,"è¾£æ¤Ĵ":107895,"åıijå¸ĥæŶéĹ´":107896,"åı¤åŁİ":107897,"éļıæľº":107898,"ç«ĸ":107899,"å¼Ģè¾Ł":107900,"ä¼ĹçĶŁ":107901,"没åĬŀæ³ķ":107902,"åįĥéĩĮ":107903,"æĿ¥æºIJäºİ":107904,"çļĦæĿĥåĪ©":107905,"æ¯ĶåĪĨ":107906,"满æĦıçļĦ":107907,"ä¿®è¡Į":107908,"åĿł":107909,"大海":107910,"èݹ":107911,"åĩºèº«":107912,"è«ĩ":107913,"åħ³èĬĤ":107914,"åIJį人":107915,"éľĢè¦ģ注æĦı":107916,"æĹ©æĻ¨":107917,"å¤ĸåįĸ":107918,"åıĪè¦ģ":107919,"æ¶īæ¡Ī":107920,"çĶ³è¯·äºº":107921,"éĻĦè¿ijçļĦ":107922,"åĬłå¿«æİ¨è¿Ľ":107923,"æĸ°å¹´":107924,"大è¡Ĺ":107925,"ä¸Ģé»ŀ":107926,"èĭıå®ģ":107927,"æĤĦæĤĦ":107928,"èĦ¾æ°Ķ":107929,"å¸ĮèħĬ":107930,"éļıåį³":107931,"æķ¢äºİ":107932,"å®ŀè·µä¸Ń":107933,"æĺ¯æ²¡æľī":107934,"æľī趣çļĦ":107935,"æĿ¥èĩªäºİ":107936,"è£ģåĪ¤":107937,"女åŃ©åŃIJ":107938,"èĩ³åħ³":107939,"èĩ³åħ³éĩįè¦ģ":107940,"æĻºåĬĽ":107941,"èµ°åĩºåİ»":107942,"çŁŃæĿ¿":107943,"å¤§åĽ½":107944,"çļĦ认è¯Ĩ":107945,"å¹´å¤ľ":107946,"åĨįåĪ°":107947,"åIJĮæł·çļĦ":107948,"å¯Ĩå°ģ":107949,"å¤ĸ交éĥ¨":107950,"çĶŁæķĪ":107951,"æĤ¨åı¯ä»¥":107952,"ä½łåĢij":107953,"è¿ĩå¹´":107954,"å¼ĵ":107955,"è¡ĮæĿİ":107956,"æ¯Ķèµ·":107957,"身é«ĺ":107958,"è¿Ļ个人":107959,"ä¸Ńå¤ĸ":107960,"éģĵæŃī":107961,"çĽ¯çĿĢ":107962,"亲åŃIJ":107963,"éŸ":107964,"çĻ½äºij":107965,"èĦĸåŃIJ":107966,"ä¸ĢåĪĩéĥ½":107967,"æ·ij":107968,"è°ľ":107969,"åģ¶çĦ¶":107970,"éĿłè°±":107971,"é«ĺ管":107972,"ä¸ĭåıij":107973,"æĶ¾åĪ°":107974,"ç±»åĪ«":107975,"ä¸ĭåĪĹ":107976,"æ··ä¹±":107977,"åIJĪæ³ķæĿĥçĽĬ":107978,"çݯçIJĥ":107979,"æľīæķĪåľ°":107980,"åķĨæĪ·":107981,"æ¹ĸ人":107982,"海岸":107983,"æĬķ产":107984,"两个æľĪ":107985,"éĥ½éĿŀ常":107986,"å¢ŀ强äºĨ":107987,"æĿ¥åĪ°äºĨ":107988,"åī©ä½Ļ":107989,"æĤ¨çļĦåŃ©åŃIJ":107990,"æµģæ°´":107991,"æŃ£ä¹ī":107992,"天çĮ«":107993,"åģļè¿ĩ":107994,"ä½ķæŶ":107995,"æĪijåİ»":107996,"çľģ份":107997,"å¥ĸéĩij":107998,"该å¦Ĥä½ķ":107999,"ä¸ĭçıŃ":108000,"åģ¶åĥı":108001,"æijĨæĶ¾":108002,"æĸ°æ¨¡å¼ı":108003,"æĬķè³ĩ":108004,"è·¯åı£":108005,"åĨľæ°ijå·¥":108006,"大åѸ":108007,"件äºĭ":108008,"æł¹æľ¬ä¸į":108009,"æµĵ度":108010,"æµĵåİļ":108011,"è½®èĥİ":108012,"æĪ¿ä¼ģ":108013,"éĿŀ常好":108014,"ä»İä¸Ń":108015,"äººæł¼":108016,"ç¿ģ":108017,"æŶéĹ´åĴĮ":108018,"è¿Ļä¸įæĺ¯":108019,"åĪ¸åķĨ":108020,"æĥĬ人":108021,"åĻ¨å®ĺ":108022,"åĩĨåĪĻ":108023,"æĥħæĻ¯":108024,"æĽ´é«ĺçļĦ":108025,"åŃ¦å®¶":108026,"泡沫":108027,"åľ°æĸ¹æĶ¿åºľ":108028,"å°±çŁ¥éģĵ":108029,"åij¼åIJģ":108030,"ç»ıè´¸":108031,"èĬ±éĴ±":108032,"æľīä¸Ģ次":108033,"æĦŁæħ¨":108034,"ä¸Ģåįĥ":108035,"å¤ľæĻļ":108036,"詹å§Ĩ":108037,"詹å§Ĩæĸ¯":108038,"è¦ģéĹ»":108039,"ç»Ĵ":108040,"æºIJäºİ":108041,"çļĦè´¨éĩı":108042,"注æĦıäºĭ项":108043,"æħ¢æĢ§":108044,"稳å®ļçļĦ":108045,"建设åĴĮ":108046,"æĻ¯è±¡":108047,"éĩıåĮĸ":108048,"çļĦ話":108049,"è¯Ħ级":108050,"æºľ":108051,"红åĮħ":108052,"éĢļéģİ":108053,"社ä¼ļ责任":108054,"æĸ°äº§åĵģ":108055,"åĨ·éĿĻ":108056,"çľĭä¸įåĪ°":108057,"èģĶéĤ¦":108058,"éŃĦ":108059,"çļĦåīįæıIJ":108060,"çļĦåīįæıIJä¸ĭ":108061,"è¾ĥ好":108062,"çļĦæĦŁæĥħ":108063,"客æĪ·æıIJä¾Ľ":108064,"çĭ¬èĩª":108065,"å¢ŀæĶ¶":108066,"æĸĩçĮ®":108067,"æĭ¼åij½":108068,"管çIJĨåĴĮ":108069,"æµģåĬ¨æĢ§":108070,"åħ¨å®¶":108071,"ä¸Ĭæĸ¹":108072,"æݨåĩºçļĦ":108073,"ä¸īåĽ½":108074,"ä¸Ģ个æĺ¯":108075,"æĸ°ä¸Ģè½®":108076,"æĸĩåĮĸéģĹ产":108077,"殺":108078,"大湾åĮº":108079,"éĥ½éľĢè¦ģ":108080,"çļĦå®ŀéĻħ":108081,"ç·Ĭ":108082,"大å¥ĸ":108083,"åħīèĬĴ":108084,"便äºİ":108085,"çļĦ表æĥħ":108086,"æ¼Ķç»İ":108087,"红åĨĽ":108088,"å½ĵæĪij":108089,"æ²»æĦĪ":108090,"é¢Ŀ度":108091,"éĿľ":108092,"ä»»ä½ķ人":108093,"è¡Ĺ头":108094,"çī¹æĸ¯":108095,"çī¹æĸ¯æĭī":108096,"åĮ»çĸĹæľºæŀĦ":108097,"ç»ĻåŃ©åŃIJ":108098,"è§Ħ磩":108099,"è£ľ":108100,"çļĦ身影":108101,"ä¸ĵæłı":108102,"æĿ¥ä¸´":108103,"童年":108104,"å¤įèĭı":108105,"è¨Ĥ":108106,"åŀĭåı·":108107,"åĽ¾æ¡Ī":108108,"ç®ĢåİĨ":108109,"æĭ±":108110,"èį·åħ°":108111,"ä»»æĦı":108112,"æī¿æİ¥":108113,"è¿Ļæīį":108114,"客车":108115,"æľĿçĿĢ":108116,"éłħ缮":108117,"åı°é£İ":108118,"çļĦæĪ¿åŃIJ":108119,"éªı":108120,"æĿ±è¥¿":108121,"éģĹä¼ł":108122,"è¶Ĭå¤ļ":108123,"äºĨä»ĸçļĦ":108124,"ä¸Ĭåij¨":108125,"管çIJĨåĪ¶åº¦":108126,"失ä¸ļ":108127,"çĶ·åıĭ":108128,"æİ¥ç§į":108129,"å¨ģåIJį":108130,"çĴ°å¢ĥ":108131,"åıijçĶŁåľ¨":108132,"ä¸ªåĽ½å®¶":108133,"åĪĽæĸ°åıijå±ķ":108134,"æĶ¹åıĺäºĨ":108135,"åģ¥åº·çļĦ":108136,"åĢ¼å¾Ĺä¸Ģ":108137,"åĢ¼å¾Ĺä¸ĢæıIJ":108138,"åĽ¢ä¼Ļ":108139,"åģĩ设":108140,"åı°ä¸Ĭ":108141,"è§ĦèĮĥåĮĸ":108142,"éĻªåIJĮ":108143,"座æ¤ħ":108144,"åı¯æĢľ":108145,"åħĭæĢĿ主ä¹ī":108146,"æ³ķå¾ĭ责任":108147,"ä¸Ģé¡¿":108148,"æĬ¬å¤´":108149,"为éĩįçĤ¹":108150,"è¿ľæ´ĭ":108151,"éĢıè¿ĩ":108152,"åħ¨çIJĥåĮĸ":108153,"趣åij³":108154,"票æĪ¿":108155,"æ¯ı人":108156,"åIJĦç§įåIJĦæł·":108157,"äºĨåĩºæĿ¥":108158,"ç»Ŀ对æĺ¯":108159,"ä¸ĭå±ŀ":108160,"ä¸ĢåıĮ":108161,"è¿ĻåĿĹ":108162,"æĬĹçĸ«":108163,"è¦ģçĤ¹":108164,"å½¢æĪIJçļĦ":108165,"æĪijçľĭ":108166,"ä¸ĩéĩĮ":108167,"èĢĥçłĶ":108168,"为åħ¶":108169,"æ°ij宿":108170,"å¤ļä½į":108171,"大èĩ´":108172,"ä»ĺè´¹":108173,"åħ¥æīĭ":108174,"å±ħ家":108175,"æīĢåľ¨åľ°":108176,"人身":108177,"è¿ĩå¾Ĺ":108178,"è¯ķè¯ķ":108179,"访è°Ī":108180,"åĬłéĩį":108181,"å°±ä¸įä¼ļ":108182,"çĶŁäº§ä¼ģä¸ļ":108183,"åĽŀåĽ½":108184,"åºķ线":108185,"赶åĪ°":108186,"æĶ¯éĺŁ":108187,"æĪij们éĥ½":108188,"éĤ®æĶ¿":108189,"缴èĩ³":108190,"éĴ¢çIJ´":108191,"åħľ":108192,"çłĶ讨ä¼ļ":108193,"æľĪ亮":108194,"åĿļæĮģ以":108195,"åħ¬å®īéĥ¨":108196,"éĴ¢ç®¡":108197,"å°ıçĻ½":108198,"ç½®ä¸ļ":108199,"èģĭ":108200,"书åĨĻ":108201,"æĿı":108202,"éħįæĸ¹":108203,"èĢĮåıĪ":108204,"çijŀ士":108205,"çķĮçļĦ":108206,"èĢģ大":108207,"æĪIJçĨŁçļĦ":108208,"å¹²ä»Ģä¹Ī":108209,"ä¸ĵ项æĸĹäºī":108210,"çŃīå¤ļ个":108211,"èĦ±ç¦»":108212,"ä¸ī个æľĪ":108213,"çłĶ究åijĺ":108214,"æĹĭ转":108215,"æŀģèĩ´":108216,"åħįè´£":108217,"åħį责声æĺİ":108218,"å¾Īå¤ļçݩ家":108219,"车ä¸Ĭ":108220,"交äºĴ":108221,"å·²æĺ¯":108222,"ä¸Ģå°ı":108223,"çļĦéĩįçĤ¹":108224,"èĬ±äºĨ":108225,"ä¸įæĺİ":108226,"æľīåħ³è§Ħå®ļ":108227,"çĬ¹å¦Ĥ":108228,"羸":108229,"寡":108230,"çļĦè¡£æľį":108231,"åĮħ裹":108232,"身åŃIJ":108233,"å¸ĪèĮĥ大åѦ":108234,"äºĭåħĪ":108235,"线æĿ¡":108236,"æ³ķåĪ¶":108237,"åħ»æĬ¤":108238,"稳å®ļæĢ§":108239,"éĤµ":108240,"åŀĦæĸŃ":108241,"é¡į":108242,"èĢĥåı¤":108243,"æĿłæĿĨ":108244,"èĭıèģĶ":108245,"æ°´çĶµ":108246,"åħ·ä½ĵçļĦ":108247,"æ¿Ģæ´»":108248,"æĪijæł¡":108249,"åĪļå¼Ģå§ĭ":108250,"åĩ¸æĺ¾":108251,"禾":108252,"åħ¼èģĮ":108253,"éĢıéģİ":108254,"åľ¨æ¸¸æĪıä¸Ń":108255,"社ä¼ļåıijå±ķ":108256,"好çİ©":108257,"å¹»æĥ³":108258,"ä¸į代表":108259,"注æĦıåĬĽ":108260,"æ£į":108261,"çĶ¨æīĭ":108262,"ç¾İ人":108263,"许å¤ļ人":108264,"å¾Īæĺ¯":108265,"çļĦçłĶåıij":108266,"æīĵåĩº":108267,"åIJĪä¼Ļ人":108268,"ä¸Ģå¤ľ":108269,"ç¼ĵç¼ĵ":108270,"ä¿®æŃ£":108271,"æĦŁçŁ¥":108272,"ç»Ī身":108273,"æ¿Ģç´ł":108274,"çݯå¢ĥä¸ĭ":108275,"次ä¼ļè®®":108276,"ç»ıæµİå¢ŀéķ¿":108277,"æīĽ":108278,"åıijéħµ":108279,"åĪĨæŀIJå¸Ī":108280,"åľ¨æľªæĿ¥":108281,"主è¦ģæľī":108282,"ä¸ĢåŃ£åº¦":108283,"çļĦ说æ³ķ":108284,"ä»İæĿ¥æ²¡æľī":108285,"货车":108286,"缩å°ı":108287,"太è¿ĩ":108288,"æķĪåĬĽ":108289,"ä¸įä¸ĭ":108290,"æĬķ稿":108291,"èį¯ä¸ļ":108292,"ç»Ħéķ¿":108293,"ç«ĻçĤ¹":108294,"å¾Īåĸľæ¬¢":108295,"éIJµ":108296,"åĬ¿å¤´":108297,"æ¼ıæ´ŀ":108298,"æĦ¤æĢĴ":108299,"åħħå®ŀ":108300,"åĪĽä¸ļæĿ¿":108301,"çĪª":108302,"æľªå¿ħ":108303,"åºķéĥ¨":108304,"å¾ĹåĪĨ":108305,"人æ°ijåĮ»éĻ¢":108306,"äºĮæīĭæĪ¿":108307,"å·²ç»ı被":108308,"大楼":108309,"æĸ°æĪ¿":108310,"辦æ³ķ":108311,"çĶ¨åĬĽ":108312,"æĭĵ宽":108313,"åĨħåľ¨":108314,"æĴŃåĩº":108315,"饰æ¼Ķ":108316,"ä¹Łè®©":108317,"ä½ľçĤº":108318,"çī©ä¸ļ管çIJĨ":108319,"åį´ä¸į":108320,"为ä¸ŃåĽ½":108321,"å±ĢåĬ¿":108322,"ä¸įèĤ¯":108323,"æľĢæĸ°çļĦ":108324,"åı¯ä»¥éĢīæĭ©":108325,"æĺ¾çİ°":108326,"å°±ç®Ĺæĺ¯":108327,"åľ¨æł¡":108328,"é¾Ł":108329,"两æĿ¡":108330,"çļĦå®ŀåĬĽ":108331,"è¶Ĭ好":108332,"å¥¹åľ¨":108333,"å¿łè¯ļ":108334,"ä¹ŁéľĢè¦ģ":108335,"游æĪıæĵįä½ľ":108336,"è¶ħåĩº":108337,"å¦Ĥæŀľä¸į":108338,"æīĢåľ¨çļĦ":108339,"ä½łè¿ĺ":108340,"以åĨħ":108341,"æľīä¸Ģå®ļ":108342,"åı¯è¾¾":108343,"è·ijåĪ°":108344,"åīĽ":108345,"建ç«ĭåģ¥åħ¨":108346,"æķ´è½¦":108347,"åīįæĸ¹":108348,"éĹ´æİ¥":108349,"çŃ¹å¤ĩ":108350,"çĸ²åĬ³":108351,"离å¼ĢäºĨ":108352,"æ±Ŀ":108353,"éĿ¢éĥ¨":108354,"ä¹ĭåīįçļĦ":108355,"åıĺ为":108356,"å¦Ĥæŀľè¯´":108357,"对ä»ĺ":108358,"åĿĩåı¯":108359,"被åijĬ人":108360,"ç²¾ç¾İ":108361,"èģļä¼ļ":108362,"çĿĢæĢ¥":108363,"è°·æŃĮ":108364,"ä¸Ģåı·":108365,"红åĪ©":108366,"ä¼łå¥ĩ游æĪı":108367,"å»ĸ":108368,"è´ŀ":108369,"ä¹°åĪ°":108370,"éŃļ":108371,"ä½ĵè´¨":108372,"å°ijäºĨ":108373,"æ³īå·ŀ":108374,"åIJŁ":108375,"ç»Ŀä¸į":108376,"é»ijæģ¶":108377,"é»ijæģ¶åĬ¿åĬĽ":108378,"ä¸Ĭæĺł":108379,"çļĦè¯Ŀé¢ĺ":108380,"ä¸ĩ人次":108381,"ä¸ĸéĹ´":108382,"çĶ¨å·¥":108383,"贯穿":108384,"å®ĿçŁ³":108385,"ä½łå¥½":108386,"åĪĩåī²":108387,"å¼ºåĽ½":108388,"åĽŀèIJ½":108389,"æ°´æĻ¶":108390,"模仿":108391,"洪水":108392,"éĢĻ麼":108393,"åįģä¸īäºĶ":108394,"ä½ij":108395,"éĻĦ件":108396,"çļĦå¢ŀéķ¿":108397,"éĻĦå±ŀ":108398,"çİ°å·²":108399,"å¸®ä½ł":108400,"éĩijçīĮ":108401,"é«ĺåİŁ":108402,"åľ¨å®¶éĩĮ":108403,"éĺ²èħIJ":108404,"ç¡®å®ŀæĺ¯":108405,"宣讲":108406,"天æīį":108407,"ç»ıèIJ¥ç®¡çIJĨ":108408,"éĶħçĤī":108409,"åIJĪä¸Ģ":108410,"è§Ĥèµı":108411,"éķ¿è¾¾":108412,"主ä¹īæĢĿæĥ³":108413,"éĤ£éº¼":108414,"é£İäºij":108415,"为主çļĦ":108416,"æļijåģĩ":108417,"æĮģä¹ħ":108418,"å¼Ĥåľ°":108419,"å¼ĢéŨ":108420,"模æĿ¿":108421,"æī¹æ¬¡":108422,"ä¸į便":108423,"天çĶŁ":108424,"åĩłä¸ªæľĪ":108425,"ä¸ĵç§ij":108426,"åı¦æľī":108427,"åħ¬å¸ĥçļĦ":108428,"æĩ·":108429,"åľºåIJĪ":108430,"çļĦå¿ĥæĢģ":108431,"è¿ĺ好":108432,"å®ŀæĪĺ":108433,"èĢģå¸ĪçļĦ":108434,"åħ©åĢĭ":108435,"åı¯åľ¨":108436,"éĤ£ä½į":108437,"å¥łå®ļäºĨ":108438,"ä¿ĥéĶĢ":108439,"æı´åĬ©":108440,"ä¸ĩçī©":108441,"æĥħæĬ¥":108442,"é¦ĸåħĪè¦ģ":108443,"æĸĩåĮĸåĴĮ":108444,"éĥ½å·²ç»ı":108445,"ä¸Ĭä¸ĸ纪":108446,"åĨľåľº":108447,"大æī¹":108448,"æĺİçĻ½äºĨ":108449,"çļĦæĪIJéķ¿":108450,"çļĦæ¯ĶèµĽ":108451,"失误":108452,"åģļæĪIJ":108453,"ä»Ĭ天å°ıç¼ĸ":108454,"é¢Ĩè¢ĸ":108455,"æıIJåįĩäºĨ":108456,"å¾IJå·ŀ":108457,"ä»įæľī":108458,"è¿ĩ滤":108459,"å¹½é»ĺ":108460,"çĥŃéĩı":108461,"ä¸Ģé¦ĸ":108462,"æ¼Ĥ亮çļĦ":108463,"åĩłç§į":108464,"åĢ¡è®®":108465,"å°±åı¯ä»¥äºĨ":108466,"æİĴåĪĹ":108467,"éĩįéĩį":108468,"ä¼ģä¸ļåĴĮ":108469,"ä¸ĵå±ŀ":108470,"çħİ":108471,"亲æĪļ":108472,"çĻ¾åĪĨä¹ĭ":108473,"稿件":108474,"è¿ĺå¾Ĺ":108475,"人åĵ¡":108476,"äºī夺":108477,"æĽ´å®¹æĺĵ":108478,"大èĩªçĦ¶":108479,"鼻èħ¦":108480,"太空":108481,"åľ°å¤Ħ":108482,"夢":108483,"ä»ĸ对":108484,"å¿ħå°Ĩ":108485,"ä¸įå½ĵ":108486,"严谨":108487,"åĩºåľº":108488,"å·²ç»ıæľī":108489,"é¢ĨåĨĽ":108490,"é«ĺæ¡£":108491,"ä¸ĢæīĢ":108492,"æłĹ":108493,"让åѦçĶŁ":108494,"æĽ¹æĵį":108495,"æŁIJä¸Ģ":108496,"伸åĩº":108497,"èĬ±åįī":108498,"æ¸ħéĨĴ":108499,"èģĶç³»æĸ¹å¼ı":108500,"åĪĨå±Ģ":108501,"èħ³":108502,"æ©¡èĥ¶":108503,"éķ¿å¾Ĺ":108504,"ç»¿åľ°":108505,"è¢į":108506,"çļĦèīºæľ¯":108507,"女æľĭåıĭ":108508,"ä¸Ńè¶ħ":108509,"离åŃIJ":108510,"å¤ļæł·åĮĸ":108511,"éĺ³åı°":108512,"ä½İ碳":108513,"ä¸Ģç±»":108514,"çŃīæĸ¹éĿ¢çļĦ":108515,"å¾Ĺ好":108516,"模åħ·":108517,"ä¸ĩ亿":108518,"çķĻæĦı":108519,"临æ²Ĥ":108520,"å°ijéĩı":108521,"çľĭåIJij":108522,"ç»ıèIJ¥èĢħ":108523,"çķĻä¸ĭäºĨ":108524,"åĿıäºĨ":108525,"åijĬåĪ«":108526,"羣çIJĨ":108527,"ç¼´è´¹":108528,"æĬĬä½ł":108529,"çļĦä»»åĬ¡":108530,"æĪij对":108531,"ä¹°åħ¥":108532,"çĻ»ä¸Ĭ":108533,"æľī两个":108534,"ä¸Ģ头":108535,"æĵįæݧ":108536,"åħ¨è¦ĨçĽĸ":108537,"çĿĢæīĭ":108538,"å¢ĻéĿ¢":108539,"å¤ļæĸ¹":108540,"åı¯çĪ±çļĦ":108541,"ä¹Łåı¯èĥ½":108542,"æľĢæľī":108543,"è¿ĻäºĽéĥ½æĺ¯":108544,"æĥ¡":108545,"å®®":108546,"å¾Īå°ı":108547,"éĹ®é¢ĺæĺ¯":108548,"åĿĩæľī":108549,"å¾ģéĽĨ":108550,"说åĩº":108551,"æľīæĦı":108552,"é¢Ĥ":108553,"æī¬å·ŀ":108554,"åķĨä¸ļ模å¼ı":108555,"çĶŁèĤĸ":108556,"æįIJ款":108557,"å²Ĥ":108558,"ç¾İæĻ¯":108559,"è¿ĺ羣":108560,"æĭ¥æĬ±":108561,"身ä½ĵåģ¥åº·":108562,"æ·±å¤Ħ":108563,"çľ¼ç¥ŀ":108564,"çļĦ形象":108565,"ä¼ĺè¶Ĭ":108566,"å½ĵæĪIJ":108567,"åĮºåĪĨ":108568,"åİ»éĻ¤":108569,"注å®ļ":108570,"å§IJ妹":108571,"åĮºåĨħ":108572,"é©ļ":108573,"æļĹ示":108574,"æĺİ亮":108575,"æħ°éĹ®":108576,"å¸Ĥåľºä»½é¢Ŀ":108577,"çĮªèĤī":108578,"çļĦèµĦéĩij":108579,"åİĨç»ı":108580,"å§ĭç»ĪåĿļæĮģ":108581,"çĶŁæľº":108582,"ä¸į顾":108583,"éĩijåĪļ":108584,"大声":108585,"éĻķ西çľģ":108586,"é²į":108587,"åĨľä¸ļåĨľæĿij":108588,"æľī害":108589,"éŨè¯Ĭ":108590,"æ¯ıä¸Ģ次":108591,"çļĦåĽłç´ł":108592,"é¢Ŀå¤ĸ":108593,"åݿ级":108594,"çļĩåIJİ":108595,"åĽ½ä¼ģ":108596,"é¦ĸéĢī":108597,"ç¼ĸåĨĻ":108598,"æĭ¿èµ·":108599,"åģ·åģ·":108600,"ä¸İä¸ŃåĽ½":108601,"åįĸ家":108602,"ç»Ļä»ĸ们":108603,"ç¥ŀè¯Ŀ":108604,"åŃ¸æł¡":108605,"æĪijä¸Ģ缴":108606,"çŁ¥éģĵäºĨ":108607,"åįĴ":108608,"åĴĮåľ°åĮº":108609,"ä»Ģä¹Īéĥ½":108610,"çĶ»å®¶":108611,"æľ¬çĿĢ":108612,"ä½ĻåIJį":108613,"审çIJĨ":108614,"ä¸ĢåIJij":108615,"åıijå±ķè¶ĭåĬ¿":108616,"åĮºéĹ´":108617,"注åĨĮèµĦæľ¬":108618,"çIJ¦":108619,"ä¸įåı¯ä»¥":108620,"çļĦåĦ¿åŃIJ":108621,"åĢ¼çıŃ":108622,"ä¸¥æł¼çļĦ":108623,"å®ŀä½ĵç»ıæµİ":108624,"æľīæĿĥ":108625,"æĪijåıĪ":108626,"éĵ¶æ²³":108627,"ç«ĭ马":108628,"æĿĢäºĨ":108629,"åĮħ容":108630,"管家":108631,"身é«Ķ":108632,"éĵħ":108633,"å°ıåŃIJ":108634,"管çIJĨç³»ç»Ł":108635,"æľīçļĦ人":108636,"é£İçĶµ":108637,"æĻºèĥ½åĪ¶éĢł":108638,"精确":108639,"æĭĽåķĨå¼ķ":108640,"æĭĽåķĨå¼ķèµĦ":108641,"äºĮæīĭ车":108642,"åİ¿å§Ķ":108643,"èīºäºº":108644,"å¥ķ":108645,"è¿İæĿ¥äºĨ":108646,"ç»ĵæĿŁäºĨ":108647,"çļĦä¼łç»Ł":108648,"æĭ¼æIJı":108649,"奥迪":108650,"çĸijæĥij":108651,"ä¹ĭæĹ¥èµ·":108652,"æłĩå¿ĹçĿĢ":108653,"åľ°åįĢ":108654,"è¯łéĩĬ":108655,"åĪ°æľŁ":108656,"åħ¨éĥ½":108657,"çŁŃæļĤ":108658,"æĺ¯æĪijåĽ½":108659,"æĪijå·²ç»ı":108660,"æ»´æ»´":108661,"天èµĭ":108662,"对她":108663,"åį«çĶŁéĹ´":108664,"çĶŁäº§åŁºåľ°":108665,"æĹ¥è®°":108666,"çļĦæķĻåѦ":108667,"åĵĩ":108668,"æ°ijäºĭ":108669,"è¿ĺåİŁ":108670,"æīĭä¸ŃçļĦ":108671,"çļĦèī¯å¥½":108672,"æ·«":108673,"ä¸Ńåħ±ä¸Ń央":108674,"åĪĥ":108675,"åĵĦ":108676,"åľ¨ä»ĸçļĦ":108677,"å°Īæ¥Ń":108678,"åľºéĿ¢":108679,"éĤ»å±ħ":108680,"çĹĴ":108681,"å¦Ħ":108682,"å¤ĸç§ij":108683,"ä¸įéĢĤ":108684,"举åĬŀçļĦ":108685,"éĤ¹":108686,"åħļçļĦ建设":108687,"çĻ¼è¡¨":108688,"è·¨çķĮ":108689,"æ²īæ·Ģ":108690,"大çīĩ":108691,"è¶Ĭé«ĺ":108692,"å°Ĩæĺ¯":108693,"è§īéĨĴ":108694,"åĤ¨åŃĺ":108695,"å¢ŀ大":108696,"ä¸į让":108697,"æķ´å½¢":108698,"å¹³åı°ä¸Ĭ":108699,"åĩłä½į":108700,"è¯īæ±Ĥ":108701,"好ä¸į好":108702,"åľį":108703,"æĸĩæľ¬":108704,"éĢ²åħ¥":108705,"ç´į":108706,"æł¹æĵļ":108707,"èįīæ¡Ī":108708,"åħŃ个":108709,"åĭ¿":108710,"åĪ¶æĪIJ":108711,"饮水":108712,"æ°¸æģĴ":108713,"èĩªæĿĢ":108714,"åı¸é©¬":108715,"éļ¾çĤ¹":108716,"为æĪij们":108717,"弧":108718,"åī©ä¸ĭçļĦ":108719,"åĩĨå¤ĩ好":108720,"çļĦæľĢä½³":108721,"èģĶåIJĪä¼ļ":108722,"æĤ£èĢħçļĦ":108723,"æĪijä¸įçŁ¥éģĵ":108724,"ä¸ĭä¸Ģ个":108725,"åıijå±ķæĸ¹åIJij":108726,"笨":108727,"æīĢ以æĪij们":108728,"åĨĻäºĨ":108729,"éĢłæĪIJäºĨ":108730,"æ²Ļæ¼ł":108731,"çŃĽéĢī":108732,"çģ¾åĮº":108733,"ä¸Ĭçľĭ":108734,"éħ¶":108735,"æ»ļåĬ¨":108736,"éļ¾åħį":108737,"åIJīåĪ©":108738,"ä¸Ģä¸Ģ":108739,"ç²¾å¯Ĩ":108740,"伸æīĭ":108741,"礼仪":108742,"åħ¨æĺ¯":108743,"è¶Ĭ大":108744,"ä¸Ńæłĩ":108745,"åıĸåĨ³":108746,"åıĸåĨ³äºİ":108747,"éĢĶä¸Ń":108748,"讨åİĮ":108749,"æīĭåĨĮ":108750,"第ä¹Ŀ":108751,"åŃĶåŃIJ":108752,"çĦ¶å¾Į":108753,"ä¸Ģåħ±":108754,"æµ·æĬ¥":108755,"款å¼ı":108756,"æķ´å¤©":108757,"è¾¹çķĮ":108758,"路边":108759,"æĻĭ级":108760,"åIJIJ槽":108761,"çļĦåħ³æ³¨":108762,"æĪij没æľī":108763,"å°±æĺ¯åľ¨":108764,"缮çļĦæĺ¯":108765,"åį³ä½¿æĺ¯":108766,"顶å°ĸ":108767,"å·²ç»ıåľ¨":108768,"å®īåħ¨éļIJæĤ£":108769,"æłĩæĿĨ":108770,"åįĹéĢļ":108771,"ä¼ļ对":108772,"座ä½į":108773,"èµ¢å¾ĹäºĨ":108774,"åİŁæĿ¥çļĦ":108775,"身为":108776,"书åºĹ":108777,"è¢Ńåĩ»":108778,"ä»ĬæĻļ":108779,"以èī²":108780,"以èī²åĪĹ":108781,"æĬĸéŁ³":108782,"åį´æ²¡æľī":108783,"丧失":108784,"çļĦå±ĢéĿ¢":108785,"åįģåĽĽäºĶ":108786,"çŃī缸åħ³":108787,"æ±ĩæĢ»":108788,"å¤ĸ表":108789,"为æ°ij":108790,"éľĩæĥĬ":108791,"å¥Ĺè·¯":108792,"çĬ¯ç½ªå«Įçĸij":108793,"å°Ĩ以":108794,"çİĩé¢Ĩ":108795,"éħĴåIJ§":108796,"è¡Įä¸ļåıijå±ķ":108797,"å¹´èĩ³":108798,"åĻ¨æĿIJ":108799,"åĴĮæĬĢæľ¯":108800,"æľĢå°ı":108801,"è¿Ļä¸ĢåĪĩ":108802,"èģĮ称":108803,"å½ĵä½ľ":108804,"æİĢèµ·":108805,"åĴĭ":108806,"ä¸Ńéĥ¨":108807,"æīĭèĩĤ":108808,"ç½¢äºĨ":108809,"媳å¦ĩ":108810,"æ´½è°Ī":108811,"æĹ¶ä»£ä¸ŃåĽ½":108812,"人çĶŁçļĦ":108813,"æŀģéĻIJ":108814,"ç¦Ħ":108815,"åĮºæĶ¿åºľ":108816,"æľ¬éĴ±":108817,"礼åĵģ":108818,"çļĦéĤ£ä¸ª":108819,"ä¾¦æŁ¥":108820,"太å¤ļçļĦ":108821,"å®ŀæĸ½æĸ¹æ¡Ī":108822,"é«ĺæłĩåĩĨ":108823,"æĮĩæĮ¥éĥ¨":108824,"åĢ¾æĸľ":108825,"çī¹èī²ç¤¾ä¼ļ":108826,"çµIJæŀľ":108827,"éĴ»çŁ³":108828,"移æ¤į":108829,"çī¹ç§į":108830,"èĩªæĦ¿":108831,"æĭľçĻ»":108832,"åįķ身":108833,"åį´åıĪ":108834,"åĪ¥äºº":108835,"åIJĪè§Ħ":108836,"æľºçĶµ":108837,"çī¹æĦı":108838,"å½ĵåīįä½įç½®":108839,"买家":108840,"åIJĪ约":108841,"èĤ©èĨĢ":108842,"为åĩĨ":108843,"家è£ħ":108844,"çļĦçĥŃæĥħ":108845,"éĿŀéģĹ":108846,"çļĦéŃħåĬĽ":108847,"åİŁåijĬ":108848,"社ä¼ļåIJĦçķĮ":108849,"ä¹°çļĦ":108850,"å¤ļåIJĥ":108851,"éĽķå¡ij":108852,"èµ·ä¹ī":108853,"åĬłåī§":108854,"éĤ£ä¸ĢåĪ»":108855,"å°Ĩè¿Ľä¸ĢæŃ¥":108856,"æ¡ĤæŀĹ":108857,"æĽ´å¼º":108858,"对ä¼ģä¸ļ":108859,"æĹłæĦı":108860,"ä¹łè¿ijå¹³æĸ°":108861,"æµģ失":108862,"微软":108863,"çĽ¸å¯¹äºİ":108864,"座è°Īä¼ļ":108865,"主èIJ¥ä¸ļ":108866,"主èIJ¥ä¸ļåĬ¡":108867,"ç§ģåĭŁ":108868,"å±ķ示äºĨ":108869,"常æĢģåĮĸ":108870,"è²´":108871,"符åı·":108872,"å¹´è½»çļĦ":108873,"å°±éľĢè¦ģ":108874,"ä¹ŁæĽ¾":108875,"çļĦæĥħ绪":108876,"è¾¾æłĩ":108877,"èĩ¨":108878,"ä½įå±ħ":108879,"ä»ħ为":108880,"é¦ĸ家":108881,"éĺ´éĺ³":108882,"ä¸įåĨįæĺ¯":108883,"åĽłä¸ºå®ĥ":108884,"ä¼ģä¸ļåľ¨":108885,"çĺ¾":108886,"åIJ¬è§ģ":108887,"åİŁæľī":108888,"åĪ¶è£ģ":108889,"å¯Ĥå¯ŀ":108890,"éĢļè¿ĩ对":108891,"æ»ijéĽª":108892,"è¿Ļå¼ł":108893,"çļĦçIJĨ解":108894,"æĸ°ä¸ŃåĽ½":108895,"è¿ĻåĦ¿":108896,"ä½İä»·":108897,"æĥ³è¿ĩ":108898,"çļĦä¿¡å¿ĥ":108899,"建çŃijçī©":108900,"çļĦé¢ľèī²":108901,"ä¸įåºĶ该":108902,"æĹłçĸijæĺ¯":108903,"å¼ķèµ·äºĨ":108904,"åħ¨åijĺ":108905,"æĿ°åĩº":108906,"è¿Ļæĺ¯æĪij":108907,"誰":108908,"èĺĩ":108909,"éĺµåľ°":108910,"åħħåĢ¼":108911,"çŁ¿ä¸ļ":108912,"çĿĢä»ĸ":108913,"信访":108914,"ä¸ĩè¾¾":108915,"æij©æĵ¦":108916,"å¼Ģ端":108917,"èı²å¾ĭ":108918,"èı²å¾ĭ宾":108919,"车åŃIJ":108920,"æľ¬èº«çļĦ":108921,"çģ«è½¦ç«Ļ":108922,"常å·ŀ":108923,"为代表":108924,"为代表çļĦ":108925,"广çĶµ":108926,"亲人":108927,"åı³æīĭ":108928,"éĽĨè£ħ":108929,"éĽĨè£ħç®±":108930,"çļĦåį°è±¡":108931,"æ©Łæľĥ":108932,"åĮĨåĮĨ":108933,"åħīçĶµ":108934,"大æĸ¹":108935,"è¿ĺæľª":108936,"åĪ©å¥½":108937,"ç»Ŀ大å¤ļæķ°":108938,"åľ¨è¿Ļç§į":108939,"ä¸Ģç»Ħ":108940,"æĸ°èĤ¡":108941,"转åıij":108942,"æ³ķåºŃ":108943,"æĹłæīĢ":108944,"éģĵè·¯ä¸Ĭ":108945,"çŁ¿å±±":108946,"èijī":108947,"æĶ¶åĽŀ":108948,"称ä¹ĭ":108949,"称ä¹ĭ为":108950,"æıŃéľ²":108951,"åı£å²¸":108952,"åIJ¼":108953,"å¿ĥæĥ³":108954,"çļĦ梦æĥ³":108955,"éĽ¯":108956,"ä¹ĭåĪĿ":108957,"å¥ĸ项":108958,"订éĺħ":108959,"èĵĿ天":108960,"åĿ¦åħĭ":108961,"ç«ĭæ¡Ī":108962,"èģĶæīĭ":108963,"ä½Ĩæĺ¯æĪij":108964,"帮æĪij":108965,"ä»ħ代表":108966,"说æĪij":108967,"çļĦè¶ĭåĬ¿":108968,"æ¯Ķè¾ĥ大":108969,"èµ°å»Ĭ":108970,"éĩįçĤ¹é¡¹çĽ®":108971,"èµĮåľº":108972,"åIJįçīĩ":108973,"æĦŁåı¹":108974,"åľ¨åľ°ä¸Ĭ":108975,"åıijçĥŃ":108976,"èĮĥçķ´":108977,"çļĦéģĵè·¯":108978,"éĩijèī²":108979,"ä»ĸåıĪ":108980,"ä¼ļ产çĶŁ":108981,"æ°ijåĽ½":108982,"å®ĺæĸ¹ç½ijç«Ļ":108983,"æĶ¶çĽĬçİĩ":108984,"çļĦåĪ°æĿ¥":108985,"çļĦåĬŀæ³ķ":108986,"æĶ¹åĪ¶":108987,"ä¸ĩç§ij":108988,"ä¸įäºĪ":108989,"è¿ĻäºĽéĹ®é¢ĺ":108990,"çĪ±ä¸Ĭ":108991,"çIJĥåľº":108992,"责令":108993,"æİĪ课":108994,"åľ¨é¦Ļ港":108995,"ç»Ĩèħ»":108996,"å¤ļä¸ĩ":108997,"åIJĮå¹´":108998,"大使":108999,"æĸĭ":109000,"ä¹Łä¸º":109001,"æĥłå·ŀ":109002,"åIJī祥":109003,"çĶ°åĽŃ":109004,"åĽ½å®¶éĺŁ":109005,"éĩįçĶŁ":109006,"åľ¨åħ¶":109007,"é¦Ļåij³":109008,"è´Łèį·":109009,"亲åĪĩ":109010,"èĩªè±ª":109011,"没éĶĻ":109012,"åĽłä¸ºåľ¨":109013,"æĺŁæĺŁ":109014,"éĤij":109015,"è¿ĺæľīå¾Īå¤ļ":109016,"æij©æīĺ":109017,"æij©æīĺ车":109018,"æŃ¥è¡Į":109019,"管çIJĨä½ĵç³»":109020,"èĦļä¸ĭ":109021,"éģİåİ»":109022,"æ±īè¯Ń":109023,"对ä¸įèµ·":109024,"çļĦç»ıåİĨ":109025,"åıĬ缸åħ³":109026,"ä¸įå°ij人":109027,"éĩįç£ħ":109028,"åĬ³åĬ¨èĢħ":109029,"大åĬĽåıijå±ķ":109030,"æĢİä¹Īåģļ":109031,"çĭĹçĭĹ":109032,"举åįĹäºļ":109033,"åĭĩäºİ":109034,"åħ¬éĸĭ":109035,"çĵ·çłĸ":109036,"åıĤçħ§":109037,"广æĴŃçĶµè§Ĩ":109038,"举åĬ¨":109039,"æ±Łè¥¿çľģ":109040,"æķĪèĥ½":109041,"åĶ¯æľī":109042,"éĿ¢è²Į":109043,"èĩªåĬ¨é©¾é©¶":109044,"æ¦ľåįķ":109045,"å½ĵæĪij们":109046,"仲è£ģ":109047,"æľ¨æĿIJ":109048,"ç±³åħ°":109049,"çĻ½éĵ¶":109050,"çļĦ人éĥ½":109051,"å°±åĥıæĺ¯":109052,"æŃ¥åħ¥":109053,"åįłçĶ¨":109054,"åĩ»è´¥":109055,"让大家":109056,"ä¼ļè®©ä½ł":109057,"åİ¿æĶ¿åºľ":109058,"è¦ģçĶ¨":109059,"çŃīå½¢å¼ı":109060,"åįĩé«ĺ":109061,"责任æĦŁ":109062,"å¤ĩçĶ¨":109063,"ä»ĸ认为":109064,"æ¸ħåįİ大åѦ":109065,"ä»ĸèĩªå·±":109066,"éĸ±è®Ģ":109067,"太平æ´ĭ":109068,"éĶģå®ļ":109069,"çŃĨ":109070,"è¿Ļçīĩ":109071,"æī§æĶ¿":109072,"è¿ĶåĽŀæIJľçĭIJ":109073,"å°±æѤ":109074,"éģĩåĪ°äºĨ":109075,"å¼Ģå¹ķå¼ı":109076,"管çIJĨéĥ¨éŨ":109077,"姿åĬ¿":109078,"设æĥ³":109079,"åĽĽåŃ£":109080,"æĬĢæľ¯äººåijĺ":109081,"å·®çĤ¹":109082,"è¾ŀèģĮ":109083,"èĢģ師":109084,"çļĦæĦŁåıĹ":109085,"ä¹ŁéĿŀ常":109086,"å¹´ä¸ĬåįĬå¹´":109087,"æĢªçī©":109088,"èĮĥæĸĩ":109089,"æĪĺå½¹":109090,"åIJ«ä¹ī":109091,"åħ¨è¿ĩç¨ĭ":109092,"èĢĮéĿŀ":109093,"éĢļ讯åijĺ":109094,"è¿Ļæł·æīįèĥ½":109095,"æľºç»Ħ":109096,"è£ı":109097,"çķ¶çĦ¶":109098,"èµĮåįļ":109099,"åIJĦæľī":109100,"å·¥ä½ľæľºåĪ¶":109101,"äºĭåIJİ":109102,"åī§éĻ¢":109103,"å±ĬæŶ":109104,"åĺ´éĩĮ":109105,"主线":109106,"ä¸ĢåľĪ":109107,"主è¦ģåİŁåĽł":109108,"å°¸ä½ĵ":109109,"åĮ»çĸĹåĻ¨æ¢°":109110,"ä½łæĢİä¹Ī":109111,"ä½ĨçĶ±äºİ":109112,"æĹ¶ç©º":109113,"çĶ·æľĭåıĭ":109114,"çĶľèľľ":109115,"é«ĺåľ°":109116,"æĻĸ":109117,"èĴIJéĽĨ":109118,"åĩĿèģļåĬĽ":109119,"å¤ĩåıĹ":109120,"æĸĩåĪĽ":109121,"马æĿ¥":109122,"马æĿ¥è¥¿äºļ":109123,"æŁ´æ²¹":109124,"使人":109125,"æķĻä¼ļ":109126,"ç§ĭ天":109127,"æĺİçıł":109128,"åħŃåįģ":109129,"çݯå¢ĥä¸Ń":109130,"æ¸ħæĻ¨":109131,"积æŀģåıĤä¸İ":109132,"å·ħå³°":109133,"ä¸ºæľŁ":109134,"çŃ¾åŃĹ":109135,"æĦŁæ¿Ģ":109136,"ç§ĭåŃ£":109137,"æĿijåŃIJ":109138,"æ¢ħ西":109139,"æļ´éĽ¨":109140,"çĶŁæ´»åľ¨":109141,"çªĹæĪ·":109142,"æģ¶åĬ£":109143,"纯粹":109144,"åľ¨æİ¥åıĹ":109145,"没èĥ½":109146,"è¡Į人":109147,"åĭº":109148,"æĭ¨æīĵ":109149,"ä½ľåĩºäºĨ":109150,"çļĦ主é¢ĺ":109151,"æľªä¾Ĩ":109152,"ä¸ŃæľĢ":109153,"æ¾ľ":109154,"é«ĺè¡Ģåİĭ":109155,"åħ´èµ·":109156,"æŃ£èĥ½éĩı":109157,"åŁ¹è®ŃçıŃ":109158,"æİ¥åħ¥":109159,"çĦ¶åIJİåĨį":109160,"åѦçĶŁä»¬":109161,"é¢ĨåħĪçļĦ":109162,"çģ«çĥŃ":109163,"ä¸ĵèģĮ":109164,"æĪĸèĢħ说":109165,"建è¨Ń":109166,"é»ı":109167,"对åħ¬åı¸":109168,"çī¹æľīçļĦ":109169,"åħīèį£":109170,"å½ĵåľº":109171,"éĿ¢åŃIJ":109172,"èµĦ产管çIJĨ":109173,"æĹ¶æľŁçļĦ":109174,"çŀİ":109175,"åįİ举":109176,"åıĪä¸Ģ次":109177,"èĥİåĦ¿":109178,"å®ļçĤ¹":109179,"头çĹĽ":109180,"液ä½ĵ":109181,"æĺ¯ä¸Ģä½į":109182,"帽åŃIJ":109183,"å¹´èµ·":109184,"ä¸įä½İäºİ":109185,"è¾ĥå°ij":109186,"éĿ¢ä¸´çĿĢ":109187,"å±Ĥå±Ĥ":109188,"èĿ´èĿ¶":109189,"èī°èĭ¦":109190,"éĺ¿æł¹":109191,"éĺ¿æł¹å»·":109192,"æ¦Ĥæĭ¬":109193,"请éĹ®":109194,"èµ·åºĬ":109195,"å±Ģå±Ģéķ¿":109196,"稳åģ¥":109197,"å¦ĤæŀľæĪij们":109198,"éħĴç²¾":109199,"æĪ·åı£":109200,"æĦŁæĤŁ":109201,"æĪij们éľĢè¦ģ":109202,"æĬĢèīº":109203,"èĩªåªĴä½ĵ":109204,"è¿ĽåĮĸ":109205,"æ¿ĢçĥĪçļĦ":109206,"ä½ĵ温":109207,"èļķ":109208,"èĩ´è¾ŀ":109209,"宪æ³ķ":109210,"ä¸ĢçŃīå¥ĸ":109211,"çĵ¶é¢Ī":109212,"æĥłæ°ij":109213,"èµ°è·¯":109214,"çİ°ä»»":109215,"åķĨéĩı":109216,"ä¸ĭ车":109217,"åĪł":109218,"責任":109219,"èŀįåIJĪåıijå±ķ":109220,"ç´łæĿIJ":109221,"油价":109222,"åģļ人":109223,"çŀª":109224,"æĶ¹éĿ©åĪĽæĸ°":109225,"çļĦåĮºåĪ«":109226,"è·¨å¢ĥçĶµåķĨ":109227,"æ¶īåıĬåĪ°":109228,"æīĺ管":109229,"æĪijè¿ĺæĺ¯":109230,"åĿIJæłĩ":109231,"ç½ij讯":109232,"å½ĵåľ°çļĦ":109233,"追溯":109234,"åľŁèĢ³":109235,"åľŁèĢ³åħ¶":109236,"åºķä¸ĭ":109237,"åĩłåįģå¹´":109238,"ç©¿è¿ĩ":109239,"çĶŁæĢģæĸĩæĺİ":109240,"æݨèĸ":109241,"æݨèĸ¦":109242,"éłĨ":109243,"åĴ³åĹ½":109244,"åĪĨæĪIJ":109245,"çĹķ迹":109246,"æĪ·ç±į":109247,"éĥ½ä¸įèĥ½":109248,"æĻļä¼ļ":109249,"åĢ©":109250,"ä½ĵåĬĽ":109251,"è¿Ļ个èģĮä¸ļ":109252,"æĹłå½¢":109253,"åıªæĥ³":109254,"è¿Ľåıĸ":109255,"æĿĢæŃ»":109256,"èĦĬ":109257,"äºijåįĹçľģ":109258,"æľªçŁ¥":109259,"ç¾İèģĶ":109260,"ç¾İèģĶåĤ¨":109261,"å¤ĸå½¢":109262,"诱æĥij":109263,"çĽ£":109264,"è¡Į使":109265,"åłĨ积":109266,"çĨŁç»ĥ":109267,"éĺIJè¿°":109268,"æľĢ大éĻIJ度":109269,"å·¡æŁ¥":109270,"夺åĨł":109271,"ä¼ģä¸ļæĸĩåĮĸ":109272,"çĭ®åŃIJ":109273,"ä¿Ŀå®Ī":109274,"ä¸ºæł¸å¿ĥçļĦ":109275,"æī©æķ£":109276,"åĪ¶éĢłåķĨ":109277,"æŁĶ软":109278,"为ä¸Ģä½ĵçļĦ":109279,"游çİ©":109280,"çĶŁçĹħ":109281,"幫åĬ©":109282,"åĶ±æŃĮ":109283,"æīįåı¯ä»¥":109284,"宽æĿ¾":109285,"è¦ģæ¯Ķ":109286,"æĺ¯æĢİæł·":109287,"çģ°èī²":109288,"çİĭåĽ½":109289,"æIJħæĭĮ":109290,"计éĩı":109291,"åij¨åĽ´çļĦ":109292,"æĻºèĥ½æīĭæľº":109293,"常åĬ¡":109294,"常åĬ¡åī¯":109295,"é©´":109296,"å°Ĩè¿ij":109297,"寻常":109298,"ä¸ŃåĽ½å¸Ĥåľº":109299,"容åĻ¨":109300,"å±±ä¸Ĭ":109301,"èĥĮåIJİçļĦ":109302,"亲å¯Ĩ":109303,"æīĢ以说":109304,"éİ®":109305,"çļĦçIJĨçĶ±":109306,"大åŁİå¸Ĥ":109307,"常年":109308,"æĹħ游ä¸ļ":109309,"å°±æĺ¯è¿Ļæł·":109310,"åĨįæĿ¥":109311,"é«ĺä½į":109312,"åĨħ饰":109313,"æŀĦéĢł":109314,"ä¸Ģèµ·æĿ¥":109315,"çĶ³è«ĭ":109316,"å·²ç»ıå¼Ģå§ĭ":109317,"çļĦåĬ¨ä½ľ":109318,"被迫":109319,"éģįå¸ĥ":109320,"åīĸæŀIJ":109321,"å°ıäºĭ":109322,"å¿ĥä¸ŃçļĦ":109323,"ä½ĵåĪ¶æĶ¹éĿ©":109324,"çļĩ家":109325,"æķĻåłĤ":109326,"åIJĥå®Į":109327,"åĽ½æ°ijåħļ":109328,"æĺİç¡®äºĨ":109329,"åıijå±ķè§ĦåĪĴ":109330,"第ä¸ĢæŃ¥":109331,"å¾Ĺèµ·":109332,"åľ¨åĵª":109333,"çļĦè·¯ä¸Ĭ":109334,"é»Ķ":109335,"çķ¶æĻĤ":109336,"大åĬĽæĶ¯æĮģ":109337,"åıĮéĩį":109338,"çŁ¥éģĵèĩªå·±":109339,"åIJĪä½ľåįıè®®":109340,"æ°ĶåĬ¿":109341,"éķ¿æķĪæľºåĪ¶":109342,"ç½ķè§ģ":109343,"åĽŀæĿ¥äºĨ":109344,"ä»ĸä¼ļ":109345,"ä¸Ńæĸ°":109346,"ä¸Ńæĸ°ç½ij":109347,"çļĦåķĨåĵģ":109348,"èµłéĢģ":109349,"決å®ļ":109350,"å¸ĤåľºçĽij管":109351,"çķĻåѦçĶŁ":109352,"çĶµåİĭ":109353,"äºļ马":109354,"äºļ马éĢĬ":109355,"è¿ĺæĺ¯æ¯Ķè¾ĥ":109356,"ä¿ĥè¿ĽäºĨ":109357,"æµģåħ¥":109358,"æijĦåĥı":109359,"æijĦåĥı头":109360,"æıIJåıĬ":109361,"åıijæİĺ":109362,"æī¾åĩº":109363,"æ¢Ŀ件":109364,"ç¹¼çºĮ":109365,"æĪijåĸľæ¬¢":109366,"å¥İ":109367,"æ¦ľæł·":109368,"å¼ĢèĬ±":109369,"æ²īéĩį":109370,"åŁºåĩĨ":109371,"ä»ħä»ħæĺ¯":109372,"轨éģĵ交éĢļ":109373,"åĶIJå±±":109374,"çŃīä¸Ģç³»åĪĹ":109375,"ä¸įè¿ĩæĺ¯":109376,"åŃĺåľ¨çĿĢ":109377,"èĬ±çĶŁ":109378,"夷":109379,"ç»Ī究":109380,"ä¹Łæĺ¯ä¸Ģ个":109381,"åįģåŃĹ":109382,"èĸªéħ¬":109383,"伤å¿ĥ":109384,"æĺ¥ç§ĭ":109385,"åĨ·åį´":109386,"ç²¾çģµ":109387,"çļĦåľ°åĽ¾":109388,"æ¯Ķçī¹":109389,"æ¯Ķçī¹å¸ģ":109390,"æĢ§åĪ«":109391,"ä½Ļä¸ĩåħĥ":109392,"ä¸įå¿ĺåĪĿå¿ĥ":109393,"å¿ĥçĸ¼":109394,"æĽ²çº¿":109395,"é«ĺä½İ":109396,"è¦ıå®ļ":109397,"æĻ¯èī²":109398,"è¦ģ说":109399,"åħ¬åı¸å°Ĩ":109400,"液åİĭ":109401,"è¿Ŀ约":109402,"åİļ度":109403,"åºŀ大çļĦ":109404,"è¿ĺæĺ¯å¾Ī":109405,"é¦ĸåħĪæĺ¯":109406,"çµ²":109407,"åĬ¡å®ŀ":109408,"並ä¸Ķ":109409,"å¢ŀè¿Ľ":109410,"ç»Ħç»ĩå¼Ģå±ķ":109411,"èµ·æĿ¥äºĨ":109412,"è¾ĥå°ı":109413,"导游":109414,"ä¸¤åľ°":109415,"ç¿ĺ":109416,"çģ¿çĥĤ":109417,"é£İéĩĩ":109418,"æĶ¯çº¿":109419,"æĶ¯çº¿ä»»åĬ¡":109420,"娱ä¹IJåľĪ":109421,"天津å¸Ĥ":109422,"åĮħåĽ´":109423,"æľ¬èµĽåŃ£":109424,"éĩįè¦ģ讲è¯Ŀ":109425,"åıĮåIJij":109426,"åįİ丽":109427,"éĶ¤":109428,"åĦ¿å¥³":109429,"åįĸåĩº":109430,"ä¾Ĩ說":109431,"ä»ĭç»įä¸Ģä¸ĭ":109432,"åIJ¦è®¤":109433,"åĭĿ":109434,"æĻ®éĢļ人":109435,"çļĦåĬ¨åĬĽ":109436,"涨åģľ":109437,"åŁºéĩij管çIJĨ":109438,"ä¸Ģ个éĩįè¦ģ":109439,"è¿IJæ²³":109440,"çħŀ":109441,"è´¢æĶ¿éĥ¨":109442,"è¡Įä¸ļåįıä¼ļ":109443,"éĥ½å°Ĩ":109444,"è¨Ģ论":109445,"ä¸ĭä¾Ĩ":109446,"墨西":109447,"墨西åĵ¥":109448,"åĽłä¸ºä»ĸ们":109449,"æĢİä¹ĪåĽŀäºĭ":109450,"åĬłå¤§å¯¹":109451,"èĬŃ":109452,"çīĮåŃIJ":109453,"ä¼ļ使":109454,"妹åŃIJ":109455,"ç«Ļéķ¿":109456,"å¿ħå¤ĩ":109457,"æłijæľ¨":109458,"æģ¶æĦı":109459,"æ²³éģĵ":109460,"å¯Įè£ķ":109461,"ç¹ģåįİ":109462,"ä»£è¡¨åĽ¢":109463,"æµij身":109464,"é¦ĸä½į":109465,"èĪªç©ºåħ¬åı¸":109466,"éĽ»å½±":109467,"ä¸ĵè¾ij":109468,"æ°´æºIJ":109469,"ä¸Ńæ¯Ĵ":109470,"並ä¸į":109471,"èĢĮåİ»":109472,"éĥĿ":109473,"äºİæѤ":109474,"æĸĩåĮĸ建设":109475,"èĤ¯å®ļä¼ļ":109476,"å¸ĮæľĽå¤§å®¶":109477,"æııåĨĻ":109478,"ä½İè°ĥ":109479,"æĸ°åħ´äº§ä¸ļ":109480,"æ·Ħåįļ":109481,"æĶ¾å¼Ģ":109482,"çļĦæĢ§æł¼":109483,"çĸ¾çĹħçļĦ":109484,"æķ´é¡¿":109485,"线ä¸Ĭ线ä¸ĭ":109486,"éĢī项":109487,"çļĦ认åı¯":109488,"æķ´é½IJ":109489,"çĶļä¹Ī":109490,"çľģåĨħ":109491,"åı¤äºº":109492,"æ°ijä¿Ĺ":109493,"çī¡ä¸¹":109494,"éŨçªĹ":109495,"éĤ£æł·çļĦ":109496,"çĽijäºĭä¼ļ":109497,"ç¿¡ç¿ł":109498,"禹":109499,"åįĥä¸ĩä¸įè¦ģ":109500,"æĶ¶ç¼©":109501,"çļĦæĸĩåŃĹ":109502,"åĴĮå°ļ":109503,"æĮĩ令":109504,"åħ±äº§åħļåijĺ":109505,"çļĦçĪ¶äº²":109506,"å®Įå·¥":109507,"åĬ¡å·¥":109508,"马æĭī":109509,"马æĭīæĿ¾":109510,"æµĭè¯Ħ":109511,"å²ļ":109512,"ä¸įåģļ":109513,"ä¸ĥå¹´":109514,"åĿĩä»·":109515,"主è§Ĥ":109516,"å¾Īä¸įéĶĻ":109517,"èĤ¡ä¸ľå¤§ä¼ļ":109518,"äºĶä¸Ģ":109519,"é£İåIJ¹":109520,"å¼Ģéĩĩ":109521,"è¿Ļä¹Ī大":109522,"èĥ½çľĭåĪ°":109523,"èĢĥè¯Ħ":109524,"åį³ä¾¿æĺ¯":109525,"çݰ代åĨľä¸ļ":109526,"æ¯Ķè¾ĥé«ĺ":109527,"è¦ģçľĭ":109528,"没äºĨ":109529,"解決":109530,"çݯæ¯Ķ":109531,"åĨ²åĬ¨":109532,"æ·±å¤ľ":109533,"åĩłåįĥ":109534,"ä¿ı":109535,"ç½ijæ°ij":109536,"就没":109537,"ä»ĸ表示":109538,"éĩıåŃIJ":109539,"æĹ©é¤IJåĬłçĽŁ":109540,"åįĬå²Ľ":109541,"æIJŀç¬ij":109542,"ä¸ĬæĬ¥":109543,"審":109544,"é¢Ħ订":109545,"èľĤèľľ":109546,"æŁ¥æī¾":109547,"ä¼ĹæīĢ":109548,"ä¼ĹæīĢåij¨":109549,"ä¼ĹæīĢåij¨çŁ¥":109550,"æĹ©æĹ¥":109551,"åıijæī¬":109552,"åĴĮ个人":109553,"åĬłåħ¥äºĨ":109554,"åĸ®ä½į":109555,"åĪĨæĺİ":109556,"第ä¸Ģæī¹":109557,"ç¾İåĨĽ":109558,"æĿĢæīĭ":109559,"éŨå¤ĸ":109560,"åķĨåľĪ":109561,"ä¸ĢåĪ»":109562,"çļĦçľ¼ç¥ŀ":109563,"éľĦ":109564,"äºĽä»Ģä¹Ī":109565,"åĬłæ·±":109566,"æ¯ıä½į":109567,"å¸ĤéĿ¢ä¸Ĭ":109568,"åıĶåıĶ":109569,"çļĦéĤ£ç§į":109570,"粤港澳":109571,"è´´å¿ĥ":109572,"æĸĩåĮĸ产ä¸ļ":109573,"红æĹĹ":109574,"åĺīåħ´":109575,"æĶ¶çĽĺ":109576,"å®ĮæĪIJåIJİ":109577,"ä¼ģä¸ļ管çIJĨ":109578,"纵横":109579,"ä¸įä¿¡":109580,"æĪIJéĥ½å¸Ĥ":109581,"æ´Ĺ澡":109582,"举è¡ĮçļĦ":109583,"çĶ¢çĶŁ":109584,"ç©¿ä¸Ĭ":109585,"åĪļ好":109586,"åħī线":109587,"æīĵæŀ¶":109588,"è¿Ļæľ¬ä¹¦":109589,"åĶ®åIJİæľįåĬ¡":109590,"åĩłåĪĨ":109591,"ä¸Ĭ次":109592,"ä¸įåĪĨ":109593,"产åIJİ":109594,"éģ¿å¼Ģ":109595,"ç»Īæŀģ":109596,"代表大ä¼ļ":109597,"æ¼ĶæĬĢ":109598,"åĽŀè´Ń":109599,"åŃ¦è´¹":109600,"éĺ»ç¢į":109601,"ä¸Ģ大æī¹":109602,"竣工":109603,"åĨ³å®ļäºĨ":109604,"ä½Ĩå¦Ĥæŀľ":109605,"çĶµæµģ":109606,"ä¸Ŀ毫":109607,"èĥ½å¤Łåľ¨":109608,"éĶĢåĶ®æĶ¶åħ¥":109609,"åľ¨åŃ¦æł¡":109610,"æ°´åĩĨ":109611,"è§Ĩ线":109612,"èĩªåľ¨":109613,"åķĨä¸ļéĵ¶è¡Į":109614,"为äºĨ让":109615,"çį²å¾Ĺ":109616,"çݩ家æľĭåıĭ":109617,"éĿ¢èĨľ":109618,"åĪĨåī²":109619,"åī§æľ¬":109620,"ç«Ń":109621,"说å¾Ĺ":109622,"æĥ³çŁ¥éģĵ":109623,"çļĦ人çī©":109624,"èĮħåı°":109625,"åIJĮä¸Ģ个":109626,"æķ°æį®ä¸Ńå¿ĥ":109627,"çĶĦ":109628,"åĸľæĤ¦":109629,"ä¸ĭæĿ¥çļĦ":109630,"å®ļåIJij":109631,"æŀģåħ·":109632,"çļĦåľŁåľ°":109633,"éĤ£åĢĭ":109634,"æijĦåħ¥":109635,"äºĨæĪijçļĦ":109636,"马路":109637,"åħ¨ç¤¾ä¼ļ":109638,"è®®æ¡Ī":109639,"å±ĭåŃIJ":109640,"åIJįåı«":109641,"åĮª":109642,"åľ¨å¤ĸéĿ¢":109643,"åįİåįĹ":109644,"åıijè´§":109645,"å¯ĴåĨ·":109646,"é«ĺçŃīæķĻèĤ²":109647,"详ç»ĨçļĦ":109648,"ä¸ªé¡¹çĽ®":109649,"çĶŁäº§åĬĽ":109650,"æĹ¶å¸¸":109651,"å°±æľĥ":109652,"ä¸ĩèĤ¡":109653,"éĻĮçĶŁäºº":109654,"æııç»ĺ":109655,"å½ĵçĦ¶æĺ¯":109656,"æĭīåĬ¨":109657,"éĵ¾æĿ¡":109658,"æī£éĻ¤":109659,"ä¸Ģ缴éĥ½":109660,"å°ıåŃ©åŃIJ":109661,"伤åı£":109662,"第äºĮå±Ĭ":109663,"è´Ńç½®":109664,"çļĩ马":109665,"æĹłèģĬ":109666,"表åĨ³":109667,"诸å¦Ĥ":109668,"åĵįèµ·":109669,"é£İæļ´":109670,"ä¸ĢæµģçļĦ":109671,"ç·¨":109672,"解æĶ¾åĨĽ":109673,"室å¤ĸ":109674,"å°±è¿Ļä¹Ī":109675,"島":109676,"æīĢæľī人éĥ½":109677,"æIJľç´¢å¼ķæĵİ":109678,"çļĦæĪIJæľ¬":109679,"åħļæĶ¿":109680,"åıijè¡Į人":109681,"çļĦäºĭå®ŀ":109682,"对该":109683,"åıĹæįŁ":109684,"ä¿Ħä¹Į":109685,"é²ľèĬ±":109686,"åĨľèį¯":109687,"æŀģéĢŁ":109688,"æĢ¥æĢ§":109689,"两ä¼ļ":109690,"ä¸ĢèĪ¬æĿ¥è¯´":109691,"æµ·é²ľ":109692,"åĨĪ":109693,"çĶ¨äºº":109694,"çĶ¨äººåįķä½į":109695,"åĢª":109696,"åĦªæĥł":109697,"æł¹æºIJ":109698,"åĽ¢è´Ń":109699,"ç¾İæ´²":109700,"ä¸ĭè¡Į":109701,"å¹´æľ«":109702,"èľ¡":109703,"è¯ģ件":109704,"åľ¨æĪijåĽ½":109705,"ä¸įåºĶ":109706,"æĮīæŶ":109707,"åłªç§°":109708,"åľºä¸Ĭ":109709,"å¹²éĥ¨èģĮå·¥":109710,"æľīå¾Ī大çļĦ":109711,"æķ°åŃĹç»ıæµİ":109712,"æ¼Ķç»ĥ":109713,"æį®ç»Łè®¡":109714,"å¾ĢæĿ¥":109715,"广åijĬæľįåĬ¡":109716,"çļĦè·Ŀ离":109717,"æѸ":109718,"è¨Ģè¯Ń":109719,"被èªī":109720,"被èªī为":109721,"åĭī强":109722,"å°Ĭæķ¬":109723,"ä¸ĩ亿åħĥ":109724,"ä¸ŃåĽ½åĽ½éĻħ":109725,"å¹²é¢Ħ":109726,"年产":109727,"èĢķåľ°":109728,"èĮİ":109729,"åį³æĺ¯":109730,"æĺ¨æĻļ":109731,"æĪIJ为ä¸Ģ个":109732,"çºłæŃ£":109733,"åij½åIJį":109734,"é¢ģå¸ĥ":109735,"çĮľæµĭ":109736,"ä¿ĿèŃ·æĶ¿çŃĸ":109737,"æĭ¢":109738,"活泼":109739,"çŃīéĥ¨éŨ":109740,"åѦåĪ°":109741,"å¢ŀåĢ¼ç¨İ":109742,"èĪªçº¿":109743,"åĨ¤":109744,"åįģåĩłå¹´":109745,"æݧèĤ¡èĤ¡ä¸ľ":109746,"ä¸ĢéŨ":109747,"ä¸ªå·¥ä½ľ":109748,"ä¸ªå·¥ä½ľæĹ¥":109749,"æĸ°è¥¿":109750,"æĸ°è¥¿åħ°":109751,"论è¯ģ":109752,"ä»Ĩ":109753,"åı¦å¤ĸä¸Ģ个":109754,"æĶ¹ç¼ĸ":109755,"严ç¦ģ":109756,"åĸľå¥½":109757,"个人信æģ¯":109758,"满æĦı度":109759,"åĵ¨":109760,"å¸ĪèµĦ":109761,"æĶ¹ä¸º":109762,"ç«ŀäºī对æīĭ":109763,"åĩºçĤī":109764,"åķĨ人":109765,"大æ£ļ":109766,"æĮĩ导ä¸ĭ":109767,"å¦ĩç§ij":109768,"輪":109769,"æīģ":109770,"åIJĮæŶè¿ĺ":109771,"并éĢļè¿ĩ":109772,"æĪĺéĺŁ":109773,"èĶĵ延":109774,"ä¿ŀ":109775,"éĢĤå½ĵçļĦ":109776,"åīįè¾Ī":109777,"åĵģåij³":109778,"æ¹¿åľ°":109779,"æĪIJåŀĭ":109780,"ä¸įåıªæĺ¯":109781,"æĥ©ç½ļ":109782,"åĩºåı°äºĨ":109783,"çݩ游æĪı":109784,"æīįåıijçİ°":109785,"åºĶèģĺ":109786,"å¤ĸæĿ¥":109787,"åįłé¢Ĩ":109788,"å±ķæľĽ":109789,"å«Ĥ":109790,"港èĤ¡":109791,"æ¡Įä¸Ĭ":109792,"æĶ¯æŁ±":109793,"çļĦæĥħå½¢":109794,"广éĺĶçļĦ":109795,"æĶ¯è¡Į":109796,"å´©æºĥ":109797,"æľĪä¸Ń":109798,"æľĪä¸ŃæŬ":109799,"ç»įåħ´":109800,"临è¿ij":109801,"æĬ¤æłı":109802,"æļ®":109803,"åįķèģĮä¸ļ":109804,"è¾¹å¢ĥ":109805,"æĹ¥çħ§":109806,"ä¸ĢåłĨ":109807,"缴å¾Ħ":109808,"åħ±åIJĮä½ĵ":109809,"æĸ°åįİç½ij":109810,"æīĵ好":109811,"çĶµåĬ¨æ±½è½¦":109812,"ä¸įæĺİçĻ½":109813,"éĢĻ裡":109814,"çĽĽå¤§":109815,"çİĭæľĿ":109816,"åĨįä¸Ģ次":109817,"åĬŀåħ¬åİħ":109818,"è´¨æĬ¼":109819,"åIJĪåĩ»":109820,"人们对":109821,"éĽ¶é£Ł":109822,"éĥ½ä¸įçŁ¥éģĵ":109823,"çļĦè¯Ńè¨Ģ":109824,"åĭŁéĽĨèµĦéĩij":109825,"åĬ¨èĦī":109826,"彤":109827,"è¿Ļåĩłå¹´":109828,"çŁŃè§Ĩé¢ij":109829,"太é«ĺ":109830,"常å§Ķä¼ļ":109831,"åĬłçıŃ":109832,"éĩįå¿ĥ":109833,"åªĴä½ĵæĬ¥éģĵ":109834,"没æ³ķ":109835,"éĹ»åIJį":109836,"çĥŃ度":109837,"å¹¿æ³ĽçļĦ":109838,"åħŃ大":109839,"çī©ä½ĵ":109840,"ä¸į该":109841,"é¢ĺ主":109842,"精彩çļĦ":109843,"ä¸ºè¿Ľä¸ĢæŃ¥":109844,"èĻŀ":109845,"åĽºçĦ¶":109846,"è´µå·ŀçľģ":109847,"çºłç»ĵ":109848,"代çIJĨ人":109849,"æ³ķå®ļ代表":109850,"åı¦ä¸Ģç§į":109851,"ä¸įåIJ«":109852,"æĭ¯æķij":109853,"ä¼ļç»Ļ":109854,"è¯Ĺè¯į":109855,"åIJĮç±»":109856,"å¾Ĺä¸įåĪ°":109857,"æĬĵç´§":109858,"以åħ¶":109859,"åħ¥åħļ":109860,"è¿ĺåı¯":109861,"æľŁåĪĬ":109862,"å¾Īå¤ļæŶåĢĻ":109863,"æĹ¥åIJİ":109864,"åħ¬çº¦":109865,"ä¸Ģ举":109866,"æ¯Ķè¾ĥå¤ļ":109867,"éĩijæ²Ļ":109868,"æįŀ":109869,"æİĴåĩº":109870,"æŃ¦æľ¯":109871,"ä¸įæĸ·":109872,"ä¸ŃèĢĥ":109873,"ä¿¡èµĸ":109874,"ä»İä¸ļ人åijĺ":109875,"çģ«çĦ°":109876,"éĨĴæĿ¥":109877,"ä½İ温":109878,"éĢ¾æľŁ":109879,"åĬ±å¿Ĺ":109880,"éħ¥":109881,"åı¯è°ĵæĺ¯":109882,"è¿ĻæĦıåij³çĿĢ":109883,"é¢łè¦Ĩ":109884,"åĮĹ京大åѦ":109885,"ä¸ĵ线":109886,"åıĬ以ä¸Ĭ":109887,"訪":109888,"èĢĮåIJİ":109889,"çŁ¥ä¹İ":109890,"ä¸Ģ对ä¸Ģ":109891,"å¨ĥå¨ĥ":109892,"çģ¾éļ¾":109893,"åħ¨å±Ģ":109894,"æīĢå¾Ĺç¨İ":109895,"å®ŀæĥł":109896,"èļĤèļģ":109897,"ä¹ŁçŁ¥éģĵ":109898,"温åĴĮ":109899,"èIJ½ä¸ĭ":109900,"åŀĭä¼ģä¸ļ":109901,"åĨįä¹Ł":109902,"ä¾ĽçĥŃ":109903,"é«ĺæ½®":109904,"çĢı覽åĻ¨":109905,"çļĦ巨大":109906,"åħĪ天":109907,"å¹´ä¸ŃåĽ½":109908,"类似çļĦ":109909,"çIJĨäºĭä¼ļ":109910,"空éĸĵ":109911,"çģµæĦŁ":109912,"åĬĽæ°Ķ":109913,"带ä¸Ĭ":109914,"ä¸į好æĦıæĢĿ":109915,"æľīä½ķ":109916,"å·²åľ¨":109917,"åıĸåĩº":109918,"è¿Ŀæ³ķçĬ¯ç½ª":109919,"åŃ¦ä¹łè´¯å½»":109920,"åľ°å¸¦":109921,"楼梯":109922,"çŃīæĥħåĨµ":109923,"ä»İåīį":109924,"çļĦä¹łæĥ¯":109925,"ç³Łç³ķ":109926,"å°±èĥ½å¤Ł":109927,"è©ķ":109928,"ä¸Ģå¾ĭ":109929,"æĮ«æĬĺ":109930,"åİŁæĸĩåľ°åĿĢ":109931,"å½ĵå±Ģ":109932,"ä¸įéĢļ":109933,"æķ°åįĥ":109934,"éĺŁä¼į建设":109935,"æŶèĬĤ":109936,"åģļèµ·":109937,"çļĦè®°å¿Ĩ":109938,"ç½ij绾å®īåħ¨":109939,"åĩ¡æĺ¯":109940,"æ°¯":109941,"éĽķåĪ»":109942,"åŁĥåıĬ":109943,"æĪijåı¯ä»¥":109944,"çĽijçIJĨ":109945,"æĽ´åħ·":109946,"åŁİ管":109947,"èĭ¯":109948,"åı¥åŃIJ":109949,"èĭ¥æľī":109950,"ä»İæĿ¥ä¸į":109951,"缸åħ³è´Łè´£":109952,"å®īåħ¨æĦŁ":109953,"æĽ´è¦ģ":109954,"çļĦæĥħæĦŁ":109955,"çī¢çī¢":109956,"è¾ĥ好çļĦ":109957,"æ°®":109958,"ç¬ijè¯Ŀ":109959,"车å±ķ":109960,"ä¹ĭç¾İ":109961,"ç®Ģ约":109962,"ç±»åŀĭçļĦ":109963,"èĢģåĮĸ":109964,"çľĭä½ł":109965,"è¿ĩåĪĨ":109966,"éŨåīį":109967,"ä¸ĢéĹ´":109968,"æĥ³åİ»":109969,"åªĽ":109970,"åľŁè±Ĩ":109971,"åıĪ称":109972,"ä¸Ńä¿¡":109973,"åŃĺéĩı":109974,"马äºij":109975,"èĩ´ä½¿":109976,"åħĪåīį":109977,"èĢģåŃIJ":109978,"æīĵæī®":109979,"æ¯ķä¸ļäºİ":109980,"æ¯ķä¸ļåIJİ":109981,"ç¾İ好çĶŁæ´»":109982,"å·¥ä¸ļä¼ģä¸ļ":109983,"就好äºĨ":109984,"èħIJèļĢ":109985,"çıįçıł":109986,"åĪ°è¿ĻéĩĮ":109987,"æīĢéľĢçļĦ":109988,"è¿Ļæĺ¯åĽłä¸º":109989,"çIJĨæĥ³çļĦ":109990,"å·®å¼ĤåĮĸ":109991,"é®":109992,"é®®":109993,"äºļ太":109994,"æĹłç©·":109995,"æıIJçİ°":109996,"ä¸ĵä¸ļæĬĢæľ¯":109997,"çĶ¢æ¥Ń":109998,"åѦåŃIJ":109999,"ç§ijå¹»":110000,"åįłåľ°éĿ¢ç§¯":110001,"ä¸įåĩĨ":110002,"æľªæĪIJ年人":110003,"æĶ¶å½ķ":110004,"è¿ĺ款":110005,"éĴ¢çŃĭ":110006,"æ¼¢":110007,"å¾ĹæĦı":110008,"综åIJĪä½ĵ":110009,"æŀģé«ĺ":110010,"åįķè¯į":110011,"é«ĺæķĪçļĦ":110012,"骨头":110013,"æī§çĿĢ":110014,"缼ä¸ĸ":110015,"模çī¹":110016,"æĽ´èĥ½":110017,"ç»ĿæľĽ":110018,"对åºĶçļĦ":110019,"æ¨Ĭ":110020,"æĸ°ä¸ī":110021,"æĸ°ä¸īæĿ¿":110022,"æģ°æģ°":110023,"åIJį家":110024,"æł¸å¿ĥæĬĢæľ¯":110025,"个å°ı":110026,"æĢİä¹Īä¼ļ":110027,"说ä¸įå®ļ":110028,"西çĵľ":110029,"åĵİ":110030,"ç¢Ł":110031,"å¿ħä¸įåı¯":110032,"å¿ħä¸įåı¯å°ij":110033,"ä¹ĭéĸĵ":110034,"åĪĨ管":110035,"交éĢļäºĭæķħ":110036,"å¼ĢåĬŀ":110037,"å¾ģæ±ĤæĦıè§ģ":110038,"亨":110039,"鼻åŃIJéĥµ":110040,"鼻åŃIJéĥµä»¶":110041,"ä¿¡æģ¯æľįåĬ¡":110042,"ä½łè§īå¾Ĺ":110043,"缴è§Ĥ":110044,"å·²å®ĮæĪIJ":110045,"åĪĨä¼ļ":110046,"åĽŀåįĩ":110047,"éļ»":110048,"好人":110049,"äºĨ解ä¸Ģä¸ĭ":110050,"åį«æµ´":110051,"æľĢçĪ±":110052,"åºŀ大":110053,"客æĪ¿":110054,"çijŀåħ¸":110055,"éĥ½ä¸įæĺ¯":110056,"館":110057,"èĹī":110058,"çļĦåIJĦ项":110059,"ä¸ºçĽ®æłĩ":110060,"çļĦè®¤çŁ¥":110061,"å½±åĵįåĬĽçļĦ":110062,"å¤¸å¼ł":110063,"佩æĪ´":110064,"æ±ĩçİĩ":110065,"çļĦçĪ±æĥħ":110066,"æĺ¥é£İ":110067,"æĺ¯æĪijçļĦ":110068,"樹":110069,"åįĬå°ıæŶ":110070,"å±±åİ¿":110071,"山西çľģ":110072,"èĢĮè¿Ļ":110073,"æĽ´å¤ļä¿¡æģ¯":110074,"è¿ĺæľīä¸ĢäºĽ":110075,"ç²¾ç»ĨåĮĸ":110076,"ç¾İåѦ":110077,"çĶ±æĸ¼":110078,"ä»ħä¾ĽåıĤèĢĥ":110079,"å¾Īé«ĺçļĦ":110080,"åıłåĬł":110081,"è¿Ļä¹Ī说":110082,"å±ķåĩº":110083,"åĽĽå¤Ħ":110084,"ä¸ĩ家":110085,"æĭĽåĭŁ":110086,"çļĦ强大":110087,"æĤ£æľī":110088,"å°ıäºİ":110089,"ä¹Łè®¸æĺ¯":110090,"对èĩªå·±çļĦ":110091,"èģĮä¸ļæķĻèĤ²":110092,"æĿ¥è¿Ľè¡Į":110093,"档次":110094,"æīĵèµ¢":110095,"éĥ½æľīçĿĢ":110096,"庸":110097,"è¯Ńæ°Ķ":110098,"çĶ²éĨĽ":110099,"空åĨĽ":110100,"车åĨħ":110101,"åĽłä¸ºä½ł":110102,"å®ŀæķĪ":110103,"æĥħä¾£":110104,"åıijè¾¾åĽ½å®¶":110105,"éķľåŃIJ":110106,"æ¯įå©´":110107,"ä½Ĩæĺ¯ä»ĸ":110108,"积æŀģæİ¨è¿Ľ":110109,"大å¹ħ度":110110,"çļĦ女åĦ¿":110111,"é¤IJæ¡Į":110112,"åIJ¬å¾Ĺ":110113,"çļĦ积æŀģæĢ§":110114,"好åIJ§":110115,"æĹ¥æ¶Īæģ¯":110116,"æľīä»»ä½ķ":110117,"æ¯Ĵåĵģ":110118,"æĹ©çĤ¹åĬłçĽŁ":110119,"第ä¸Ģ天":110120,"å°½åĬĽ":110121,"æłĸ":110122,"主æīĵ":110123,"æĺ¯ä¸ĢåIJį":110124,"çĪĨæĸĻ":110125,"äºĭä¸ļåıijå±ķ":110126,"å¾®åķĨ":110127,"äºİä¸Ģä½ĵçļĦ":110128,"çĶŁçĮª":110129,"èĩªçĦ¶èµĦæºIJ":110130,"çŀĦåĩĨ":110131,"è§Ħ模åĮĸ":110132,"并ä¸İ":110133,"èĤ¥èĥĸ":110134,"家çĶ¨":110135,"大çĪ·":110136,"é¢ĦåijĬ":110137,"æĿ¥åģļ":110138,"éĺ³åİ¿":110139,"æŀĦçŃij":110140,"é¢ģå¥ĸ":110141,"åİĨåı²æĸĩåĮĸ":110142,"æľįåĭĻæĪĸ":110143,"æĢ»åĨ³èµĽ":110144,"åıijåŀĭ":110145,"æĪij羣çļĦ":110146,"æĽ¦":110147,"åıĤä¼ļ":110148,"èĦĨå¼±":110149,"åĩĨåħ¥":110150,"èħ¹éĥ¨":110151,"åı¸ä»¤":110152,"æĤ²åī§":110153,"天ä¸Ĭ":110154,"åı£ä¸Ń":110155,"ä¸ĩ个":110156,"åѦä¸ļ":110157,"æıIJåĢ¡":110158,"两边":110159,"大èĤ¡ä¸ľ":110160,"åı¤éķĩ":110161,"è¡Ģç³ĸ":110162,"çļĦç¨ĭ度":110163,"æ£īèĬ±":110164,"åIJİåı°":110165,"å°±åĮ»":110166,"æķ´æķ´":110167,"èĴ²":110168,"çĽĪåĪ©èĥ½åĬĽ":110169,"ç±½":110170,"èĦ«":110171,"çľĭéĩį":110172,"家éķ·":110173,"èģĺçĶ¨":110174,"èµĽéģĵ":110175,"åīįèĢħ":110176,"建èŃ°":110177,"å¾ĭå¸ĪäºĭåĬ¡":110178,"èīºæľ¯åĵģ":110179,"æľīèĩªå·±çļĦ":110180,"åIJ¦å®ļ":110181,"ç¤¾åĽ¢":110182,"åij¨äºĶ":110183,"带åĪ°":110184,"å·¥ä½ľä¼ļè®®":110185,"èĤ¡æľ¬":110186,"å¤ĸåĮħ":110187,"家åħ¬åı¸":110188,"çĽijçĭ±":110189,"èĪĬ":110190,"åIJįæł¡":110191,"西æ¹ĸ":110192,"è¶ħè¿ĩäºĨ":110193,"åįĹå±±":110194,"ç»Ħ件":110195,"åĢ¼å¾Ĺ注æĦı":110196,"æĮ£æīİ":110197,"äºĭ迹":110198,"ç¶ĵçĩŁ":110199,"ç§ij室":110200,"好åIJĹ":110201,"æ¤ħåŃIJ":110202,"åľĪåŃIJ":110203,"ä½Ĩ她":110204,"æµģçķħ":110205,"åIJĦèĩªçļĦ":110206,"èģĮåijĺ":110207,"è¡įçĶŁ":110208,"åħ¨åľº":110209,"æĴ¤éĶĢ":110210,"åį´è¢«":110211,"å®ģéĿĻ":110212,"åīįæīĢ":110213,"åīįæīĢæľª":110214,"åīįæīĢæľªæľī":110215,"主ä¸ļ":110216,"åĮĹç¾İ":110217,"è¯Ħå®ļ":110218,"åĵģå°Ŀ":110219,"大家éĥ½åľ¨":110220,"主å¸ħ":110221,"ç»Ĩå¿ĥ":110222,"ä¿¡æģ¯æĬ«éľ²":110223,"çļĦç«ŀäºī":110224,"éĢĻ樣çļĦ":110225,"ç§ijåĪĽæĿ¿":110226,"éĩĩæijĺ":110227,"票æį®":110228,"éĢIJå¹´":110229,"èĭ±è¶ħ":110230,"è¡Įä¸ļåĨħ":110231,"人寿":110232,"åIJİåĭ¤":110233,"å¦ĤæĦı":110234,"ç¬Ķè¯ķ":110235,"æ·¡æ·¡çļĦ":110236,"ä¸įèĪĴæľį":110237,"ä½ĵ积":110238,"ä¹Łä¸įè¦ģ":110239,"éĿ¢æĸĻ":110240,"æł·æľ¬":110241,"ç¥ģ":110242,"æĮīè§Ħå®ļ":110243,"大æ¦Ĥæĺ¯":110244,"æĥħåĨµè¿Ľè¡Į":110245,"åIJĦåįķä½į":110246,"çļĦç¬ij容":110247,"åĩºèī²çļĦ":110248,"代表æĢ§":110249,"çļĦç¾İ好":110250,"éĴ¦":110251,"å¾®çĶŁçī©":110252,"è¶Ĭæĺ¯":110253,"æĸ¹åı¯":110254,"å¹²èĦĨ":110255,"éģĬæĪ²":110256,"çļĦåħ´è¶£":110257,"éĹ®è´£":110258,"åĽłä¸ºæĪij们":110259,"èĢĥéĩı":110260,"çĶŁçĶŁ":110261,"éĺ»åĬĽ":110262,"ä¸įåħģ许":110263,"æıIJè®®":110264,"åĩıæĮģ":110265,"åıªæĺ¯ä¸Ģ个":110266,"æĪijæĬĬ":110267,"åıijçİ°èĩªå·±":110268,"å¢ŀå¹ħ":110269,"å¦į":110270,"èĹĿè¡ĵ":110271,"ä¸Ģ家人":110272,"åĪĨ级":110273,"çļĦæķ°éĩı":110274,"è½®èŀįèµĦ":110275,"çŃīåĽłç´ł":110276,"大夫":110277,"èģĺ请":110278,"é£İæľº":110279,"绽æĶ¾":110280,"ä»»ä½ķä¸Ģ个":110281,"éłĤ":110282,"éĺ¶çº§":110283,"æĬĬ她":110284,"è¿ĽåĨĽ":110285,"èĥ½åģļåĪ°":110286,"åŁ¹è®ŃæľºæŀĦ":110287,"çī©æĸĻ":110288,"ç«¥è¯Ŀ":110289,"æĮĩ导æĦıè§ģ":110290,"éĺ®":110291,"æ·±åħ¥æİ¨è¿Ľ":110292,"ä¸»æľº":110293,"æ¸Ķä¸ļ":110294,"ä¸įæľį":110295,"æµĵéĥģ":110296,"è¡Ĺä¸Ĭ":110297,"ä¾Ŀ次":110298,"æĹ¶æ®µ":110299,"梵":110300,"çļĦåĸľçĪ±":110301,"å¾Īéķ¿":110302,"åĪĿ级":110303,"æŀľæĸŃ":110304,"æĬ¢æķij":110305,"é¼ĵèĪŀ":110306,"ä¾ĽéľĢ":110307,"æ·±åħ¥å¼Ģå±ķ":110308,"产ä¸ļéĽĨ群":110309,"åĻªéŁ³":110310,"åIJ¬çĿĢ":110311,"æ·±åĪ»çļĦ":110312,"å¿įåıĹ":110313,"çĶµç£ģ":110314,"强èĢħ":110315,"æ»ĭåij³":110316,"æĽ¼èģĶ":110317,"åı¯ä»¥çĽ´æİ¥":110318,"大米":110319,"æŃ·åı²":110320,"æĶ¿åĬ¡æľįåĬ¡":110321,"åħ¬å¼ı":110322,"社群":110323,"éģĵ士èģĮä¸ļ":110324,"ä¹ĭæĥħ":110325,"æµ·æ°´":110326,"æ¼Ķå¥ı":110327,"åºĹéĩĮ":110328,"迹象":110329,"åıijå±ķçIJĨ念":110330,"é«ĺ空":110331,"åij¨åĪĬ":110332,"åĽŀåĪ°äºĨ":110333,"ä¸įéĢĤåIJĪ":110334,"åłµå¡ŀ":110335,"åĬĪ":110336,"æ°´ä¸Ĭ":110337,"çĢijå¸ĥ":110338,"纳ç¨İ人":110339,"çĩĥæ²¹":110340,"å·¥ç¨ĭé¡¹çĽ®":110341,"峡谷":110342,"æľīéĴĪ对æĢ§":110343,"åľĨå½¢":110344,"æľ¬å¸Ĥ":110345,"è¿Ļè¯Ŀ":110346,"管çIJĨèĢħ":110347,"ç¡®è¯ĬçĹħä¾ĭ":110348,"æĬĬæīĭ":110349,"彩èī²":110350,"ä¸Ĭåīį":110351,"夯å®ŀ":110352,"ç¾ĬèĤī":110353,"å¾Ģå¹´":110354,"æĵħèĩª":110355,"迷人":110356,"èĪªæ¯į":110357,"ç²¾ç»Ĩ":110358,"åľ¨æĪijçļĦ":110359,"åĪĽæĬķ":110360,"麦åħĭ":110361,"æľĪç»ı":110362,"åĮĹæµ·":110363,"ä¹ĭæĺŁ":110364,"åı¶åŃIJ":110365,"å¸Ĥåľºç«ŀäºī":110366,"è¿Ļäºĭ":110367,"åıĥèĪĩ":110368,"äº§åľ°":110369,"åĶī":110370,"åķĨåĵģæĪ¿":110371,"èĪªè¿IJ":110372,"ä¼ĺå¼Ĥ":110373,"ä»ĸ们æĺ¯":110374,"éĽ¨æ°´":110375,"è¯įæ±ĩ":110376,"åĨľçĶ°":110377,"欧éĺ³":110378,"çŁŃ线":110379,"管ç½ij":110380,"æł¹åŁº":110381,"åıªæľīä¸Ģ个":110382,"éŀĭåŃIJ":110383,"å¸Ĥå§Ķ书记":110384,"åĪ»æĦı":110385,"è¡Į车":110386,"åıĪ被":110387,"åı¯éĿłæĢ§":110388,"è´±":110389,"ä»»åij½":110390,"åºĶåľ¨":110391,"å°±å¾Ĺ":110392,"æľįåĬ¡ä½ĵç³»":110393,"æĶ¿æĿĥ":110394,"åıijè¨Ģ人":110395,"è¿ĩå¾Ģ":110396,"两åıª":110397,"èĻ½è¯´":110398,"éĢģä¸Ĭ":110399,"ä»Ģä¹Īäºĭ":110400,"æķ£æĸĩ":110401,"æİĮæݧ":110402,"èĸĦå¼±":110403,"ä¸ĭéĿ¢å°±":110404,"主è¦ģåĨħ容":110405,"å¾Īéĩįè¦ģçļĦ":110406,"就说":110407,"çĻ½èī²çļĦ":110408,"éĤ£ä¸ªæŶåĢĻ":110409,"ç»ı纪人":110410,"çļĦæ¯į亲":110411,"ç¬Ķè®°æľ¬":110412,"åºķå±Ĥ":110413,"è¿ij代":110414,"解说":110415,"è²łè²¬":110416,"æľĢ大åĮĸ":110417,"åķĨéĵº":110418,"æł¡åıĭ":110419,"æ²ģ":110420,"ä¸įåĩºæĿ¥":110421,"éĻ·éĺ±":110422,"ç¨ħ":110423,"åħ¬å¸ĥäºĨ":110424,"åĩĢåĢ¼":110425,"çĽ¸å¯¹è¾ĥ":110426,"笼":110427,"æł¸ç®Ĺ":110428,"åįİ侨":110429,"æĢ¥æķij":110430,"æĮºå¥½":110431,"åħĴç«¥":110432,"äºĮèĥİ":110433,"åĩºèĩª":110434,"åĿŁ":110435,"æīĭä¸ĭ":110436,"屡":110437,"åĪĽéĢłæĢ§":110438,"ä¸¥æł¼æĮīçħ§":110439,"åĨįåİ»":110440,"举缣":110441,"人æµģ":110442,"äºĨä¸Ģ声":110443,"å°ıæŶåīį":110444,"è´µæĹı":110445,"éľĸ":110446,"ä¹Łæĺ¯éĿŀ常":110447,"éĢ±":110448,"çľĭäºĨçľĭ":110449,"ç¹ģæ®ĸ":110450,"èĩ³æѤ":110451,"é¢Ħå¤ĩ":110452,"å¾Īæĺİæĺ¾":110453,"æ¼Ķèīº":110454,"åĿIJçĿĢ":110455,"ä¿ĦåĨĽ":110456,"åľ¨è¿ĩåİ»":110457,"ä¹ĭäºĭ":110458,"æĬĵèİ·":110459,"åĿIJä¸ĭ":110460,"çĶ±ä¸ŃåĽ½":110461,"ä¹Łå¼Ģå§ĭ":110462,"çŃĶå¤į":110463,"åŀĥåľ¾åĪĨç±»":110464,"éĴĵé±¼":110465,"åIJĦ種":110466,"缸éģĩ":110467,"ä¸įåģľçļĦ":110468,"æī¹éĩı":110469,"éĩįè¦ģä½ľçĶ¨":110470,"å§Ķå±Ī":110471,"åħŃå¹´":110472,"ä¸ĥåįģ":110473,"ä¹ĭæĪĺ":110474,"é£İéĻ©ç®¡çIJĨ":110475,"éŁ³æ¨Ĥ":110476,"è¡ĮæĶ¿å¤Ħç½ļ":110477,"æľ¬äºĭ":110478,"æĴ°åĨĻ":110479,"èģļåIJĪ":110480,"éĢĤæŶ":110481,"æIJ¬å®¶":110482,"ç¢İçīĩ":110483,"çĽĽå®´":110484,"ç®Ģæ´ģ":110485,"åı¬éĽĨ":110486,"ç®ĢåĮĸ":110487,"åĮĹ京æŶéĹ´":110488,"第ä¸īå±Ĭ":110489,"æĿ¥åĽŀ":110490,"常çĶ¨çļĦ":110491,"京津":110492,"京津åĨĢ":110493,"梦幻":110494,"è¯ķè¡Į":110495,"æľºåºĬ":110496,"åĪ°æľĢåIJİ":110497,"åĬ©æīĭ":110498,"åĪĨ彩":110499,"åĩºåĵģ":110500,"åĪ¹è½¦":110501,"åIJ¯åıij":110502,"侧éĿ¢":110503,"æ¯ıå½ĵ":110504,"缸åħ³è§Ħå®ļ":110505,"ä¸ĸ人":110506,"è´Ń车":110507,"å¿ĥ缮":110508,"å¿ĥ缮ä¸Ń":110509,"äºĶéĩij":110510,"è¿ĺè®°å¾Ĺ":110511,"ä¾ĿçĦ¶æĺ¯":110512,"æıIJæ¡Ī":110513,"çĶµåķĨå¹³åı°":110514,"åģļåĪ°äºĨ":110515,"æĿľç»Ŀ":110516,"å®īåįĵ":110517,"ä¸ĸçķĮåIJĦåľ°":110518,"åīįéĢĶ":110519,"æ´ĹåĩĢ":110520,"å¥ĭåĬĽ":110521,"åŁİå¸Ĥ建设":110522,"å¤ļåĬŁèĥ½":110523,"ä¼ļéĢłæĪIJ":110524,"åıijå¸ĥä¼ļä¸Ĭ":110525,"究竣æĺ¯":110526,"åĪĨ红":110527,"çŁ¥èŃĺ":110528,"éĿ¢æĿ¿":110529,"æĹłå£°":110530,"æĢ¥éľĢ":110531,"å¤±çľł":110532,"çĪ¸å¦Ī":110533,"äºĤ":110534,"åħ¨æĻ¯":110535,"ç»ıåħ¸çļĦ":110536,"åī§ä¸Ń":110537,"é¢Ĩ导ä¸ĭ":110538,"åħļåĨħ":110539,"åħ¥ä¾µ":110540,"æĭīæĸ¯":110541,"ä¸Ģå¹ķ":110542,"åĬłä¹ĭ":110543,"èĤĨ":110544,"èĭ±æł¼":110545,"èĭ±æł¼åħ°":110546,"å·§åħĭ":110547,"å·§åħĭåĬĽ":110548,"ä¸Ģå¿ĥ":110549,"èģĤ":110550,"å¾Ģå¾Ģæĺ¯":110551,"管çIJĨå±Ĥ":110552,"çĻ»åħ¥":110553,"建ç«ĭèµ·":110554,"å»ºåĽ½":110555,"åŃIJ宫":110556,"åºĶä»ĺ":110557,"æݢ究":110558,"第ä¸Ģä½į":110559,"ä½Ļ家":110560,"çŃīæ´»åĬ¨":110561,"æīĢèĩ´":110562,"è¾ĥå¿«":110563,"æĺ¯éĿŀ":110564,"æıIJåIJį":110565,"äºĮèĢħ":110566,"åıªåī©ä¸ĭ":110567,"åħ¶ä¸ŃåĮħæĭ¬":110568,"ç¼ĸç¨ĭ":110569,"çł´ç¢İ":110570,"ä¸Ń举":110571,"å·¥ä½ľæĬ¥åijĬ":110572,"çŃ¾åIJį":110573,"éħĴä¸ļ":110574,"çŁ¥æĻĵ":110575,"çĥŃå¿ĥ":110576,"éĿŀåĩ¡":110577,"èIJ¥ä¸ļæī§":110578,"èIJ¥ä¸ļæī§çħ§":110579,"人大代表":110580,"ä¸Ģ个æĸ°çļĦ":110581,"å¨ģæµ·":110582,"éĤ£äºº":110583,"涨价":110584,"æ¶ĪçģŃ":110585,"éļ¾å¿ĺ":110586,"ç¶ĵé©Ĺ":110587,"åı£è¢ĭ":110588,"ç³»æķ°":110589,"æĸĩä¸Ń":110590,"好转":110591,"æĸ°éĽ¶åĶ®":110592,"讲述äºĨ":110593,"å¼ĢçĽĺ":110594,"çķĻç»Ļ":110595,"æħ¢æħ¢çļĦ":110596,"æĤ²ä¼¤":110597,"æľ¬æľŁ":110598,"äºĨå¤ļå°ij":110599,"è¿Ļ让":110600,"åIJĮçŃī":110601,"æ¸ħæĺİ":110602,"个åŁİå¸Ĥ":110603,"æºĸåĤĻ":110604,"åĩłä¹İæĺ¯":110605,"强åĬĽ":110606,"俯":110607,"水稻":110608,"åĽºå®ļçļĦ":110609,"æł¸åĩĨ":110610,"说æľį":110611,"顯示":110612,"è¿Ļå¥Ĺ":110613,"æĻºæħ§åŁİå¸Ĥ":110614,"å±ĭ顶":110615,"ä¸įæĿ¥":110616,"çĶŁé²ľ":110617,"çŁ¥æĥħ":110618,"æĬķ身":110619,"åijĬè¯īæĪij们":110620,"ä¸īåĽĽ":110621,"ä¸ĩä¸Ģ":110622,"è¾Ĩ车":110623,"为ä¹ĭ":110624,"åĪ°æŶåĢĻ":110625,"è¿Ļæīįæĺ¯":110626,"åIJįçīĮ":110627,"åºŁæ°´":110628,"åݻ年åIJĮæľŁ":110629,"å¹´éĻIJ":110630,"éģĭåĭķ":110631,"åıĮçľ¼":110632,"è¦ģç´§":110633,"对çŃĸ":110634,"åľºé¦Ĩ":110635,"çĻ¾ç§ij":110636,"è¶Ĭéĩİ":110637,"å¯ĮåIJ«":110638,"大å¤ļæķ°äºº":110639,"æľĢå°ij":110640,"åı¬åĶ¤":110641,"åħ¸èĮĥ":110642,"åĨľæľº":110643,"æŃ£æĸĩ":110644,"åºĶçĶ¨äºİ":110645,"æ·±èĢķ":110646,"ä¿Ń":110647,"ä»Ģä¹Īä¸ľè¥¿":110648,"å¥Ĺé¤IJ":110649,"å½ĵéĢī":110650,"å·¦æīĭ":110651,"è°ĥçIJĨ":110652,"æĻļé¤IJ":110653,"éļ¾åħ³":110654,"åĩŃè¯ģ":110655,"çĪ±äºº":110656,"æĮĩè´£":110657,"è´£ç¼ĸ":110658,"çļĦä¸Ģ款":110659,"éĵ²":110660,"åįģ个":110661,"èĢ»":110662,"æľįåĬ¡åķĨ":110663,"åľ°çĭ±":110664,"è¿ŀå¿Ļ":110665,"åĽ°æĥij":110666,"çļĵ":110667,"ä¸įåIJĥ":110668,"çİ°åľ¨å·²ç»ı":110669,"çĽĺçĤ¹":110670,"ä¸įåģľåľ°":110671,"管çIJĨ模å¼ı":110672,"è¿Ļ段æŶéĹ´":110673,"椰":110674,"礼åĮħ":110675,"æµģ转":110676,"æī«çłģ":110677,"éĽĨä¸Ńåľ¨":110678,"æ±ĤåĬ©":110679,"åįĬ个":110680,"å¿«éĢŁå¢ŀéķ¿":110681,"å¾Ģä¸ĭ":110682,"è¯ĦåĪĨ":110683,"å°±æĥ³":110684,"åķĨåĬ¡éĥ¨":110685,"æľīéĹ®é¢ĺ":110686,"èİ·åĪ©":110687,"æ¯ĽçĹħ":110688,"æĦŁåºĶ":110689,"èī¯æĢ§":110690,"åĪĨæѧ":110691,"åĨī":110692,"æĪij们çİ°åľ¨":110693,"è¦ģåĬłå¼º":110694,"å·§å¦Ļ":110695,"èŀºæĹĭ":110696,"åĪĩæį¢":110697,"çĭĦ":110698,"顺çķħ":110699,"å°¤åħ¶æĺ¯åľ¨":110700,"èĬĿ麻":110701,"éļ¾è¿ĩ":110702,"æĹĹå¸ľ":110703,"å¤įåį°":110704,"å¤įåį°ä»¶":110705,"å¿ħéľĢ":110706,"对å¤ĸå¼ĢæĶ¾":110707,"éļ¾åıĹ":110708,"åİŁæĿ¥æĺ¯":110709,"ç®ĹäºĨ":110710,"é«ĺå±±":110711,"离èģĮ":110712,"çµĦç¹":110713,"çµĦç¹Ķ":110714,"å±ģèĤ¡":110715,"çĻ¾å®¶":110716,"éģĩä¸Ĭ":110717,"æĺĶæĹ¥":110718,"ä¸į容":110719,"çĽij管éĥ¨éŨ":110720,"主æĦı":110721,"æµģåŁŁ":110722,"è·Įå¹ħ":110723,"èĩ³ä¸Ĭ":110724,"åĪ«è¯´":110725,"æĺ¯æ¯Ķè¾ĥ":110726,"å®ıè§Ĥç»ıæµİ":110727,"å¸Ĥåľºä¸»ä½ĵ":110728,"污æŁĵçī©":110729,"æķijæ²»":110730,"丰æĶ¶":110731,"åŃĺæĶ¾":110732,"åĩĦ":110733,"éĩijå±±":110734,"æį¢äºĨ":110735,"ä¸ĵ人":110736,"éĹľæĸ¼":110737,"æĹ¢è¦ģ":110738,"åĽ½è¶³":110739,"éļĭ":110740,"åıįåĩ»":110741,"起身":110742,"åħĪæĺ¯":110743,"å¸ĮæľĽèĥ½å¤Ł":110744,"åĪ¶è®¢":110745,"åºĹéĿ¢":110746,"åĸĢ":110747,"æķĻä½ł":110748,"éĻį温":110749,"åĬĽæ±Ĥ":110750,"ä¸īçĻ¾":110751,"çī©ä»·":110752,"丢失":110753,"å¢Ļä¸Ĭ":110754,"éĥ¨ä»½":110755,"æł·æĿ¿":110756,"ä¹ĭæĦı":110757,"ç½ijå°ıç¼ĸ":110758,"ä¸ĸä¸Ĭ":110759,"è°ĥè¯ķ":110760,"污æŁĵéĺ²æ²»":110761,"å½±éĻ¢":110762,"å®Įåħ¨åı¯ä»¥":110763,"éĢļåħ³":110764,"ä¹īåĬ¡æķĻèĤ²":110765,"没æľīåĬŀæ³ķ":110766,"èĢ¿":110767,"妳":110768,"æĹłæĥħ":110769,"å¾ĹçĽĬ":110770,"å¾ĹçĽĬäºİ":110771,"æľŁçĽ¼":110772,"娱ä¹IJåľº":110773,"çĶ²æĸ¹":110774,"ä¸Ģæ±½":110775,"çĹ°":110776,"çĸijä¼¼":110777,"æĸ°æµªå¾®åįļ":110778,"强è¡Į":110779,"å½ĵä»ĸ":110780,"èĥº":110781,"çĶ¨æĪ·æıIJä¾Ľ":110782,"åĮºå§Ķ":110783,"æĦ¿æĻ¯":110784,"æĬĺæī£":110785,"失踪":110786,"è¿«åĪĩ":110787,"åŃĹæ¯į":110788,"åĴ¯":110789,"èªįèŃĺ":110790,"ä»Ģä¹ĪæĦıæĢĿ":110791,"çĽĴåŃIJ":110792,"å½ķéŁ³":110793,"建设工ç¨ĭ":110794,"ä¸ļä½Ļ":110795,"å®ŀ践活åĬ¨":110796,"çľŁç©º":110797,"çĤĸ":110798,"åľ¨è·¯ä¸Ĭ":110799,"主è¦ģåĮħæĭ¬":110800,"该æĢİä¹Ī":110801,"æĢ»æľī":110802,"æĢ§æĦŁ":110803,"æ°ijèĪª":110804,"å¼ĢåºĹ":110805,"欺éªĹ":110806,"çªģåĩ»":110807,"缺失":110808,"æī§ä¸ļ":110809,"åľ°éģĵ":110810,"并æĹł":110811,"æ°ijåĬŀ":110812,"ç»Ħç»ĩçĶŁæ´»":110813,"æĪijå¦Ī":110814,"è¨ĺèĢħ":110815,"管åĪ¶":110816,"æī¾ä¸ª":110817,"èĹ»":110818,"çĤİçĹĩ":110819,"äºĴåĬ©":110820,"æµıè§ĪåĻ¨":110821,"çݩ家æĿ¥è¯´":110822,"éĻįä½İäºĨ":110823,"è£Ķ":110824,"æĮ£éĴ±":110825,"åķĨæľº":110826,"æĶ¹è£ħ":110827,"æµģ浪":110828,"æĶ¿æ³ķ":110829,"èĢģ头":110830,"çĶŁäº§åĴĮ":110831,"ç©Ĺ":110832,"亲çĪ±":110833,"亲çĪ±çļĦ":110834,"å±¥èģĮ":110835,"åŁİéĩĮ":110836,"ç»ĨåĪĨ":110837,"åĬ³åĬ¨åIJĪåIJĮ":110838,"åľ¨æĹ¥æľ¬":110839,"å¨ģå°Ķ":110840,"åį«è§Ĩ":110841,"éĢ£çµIJ":110842,"çĿĢéĩį":110843,"æĬĺ磨":110844,"åĽ¾ä¸º":110845,"çľ·":110846,"å·¥åºı":110847,"æĵģ":110848,"æĵģæľī":110849,"ç½ijç«Ļåľ°åĽ¾":110850,"çļĦä¸Ģ大":110851,"ç»Ħç»ĩå®ŀæĸ½":110852,"æĬĽå¼ĥ":110853,"åĴĮæĶ¯æĮģ":110854,"æ³ķåĪĻ":110855,"浪潮":110856,"çİ°æľīçļĦ":110857,"åĩłçİĩ":110858,"为客æĪ·":110859,"åįģä¸ĩ":110860,"è¹Ħ":110861,"çªģåĩºéĹ®é¢ĺ":110862,"åıĥåĬł":110863,"éĥ½ä¼ļæľī":110864,"缤":110865,"è°ģéĥ½":110866,"æīĭåĬ¨":110867,"çĽ´è¾¾":110868,"çĤ¹å¤ļ":110869,"éĺ¶å±Ĥ":110870,"ä¸įä½³":110871,"éĤ£æ®µ":110872,"滨海":110873,"æĺ¯åĽ½åĨħ":110874,"æĪijå¸ĮæľĽ":110875,"åIJĽåŃIJ":110876,"è§ĤéŁ³":110877,"åģļé¥Ń":110878,"æ±½è»Ĭ":110879,"åħ³ç¨İ":110880,"çľ¼åīįçļĦ":110881,"æ°´éĿ¢":110882,"èĢ³æľº":110883,"追踪":110884,"æݨéĢģ":110885,"éĴ±åĮħ":110886,"æģ¶å¿ĥ":110887,"æµ·åŁŁ":110888,"å·į":110889,"å¼ĢæĿ¥":110890,"表æĢģ":110891,"仪表":110892,"å¹³åİŁ":110893,"åįģå¤ļå¹´":110894,"ä¹ŁæĹłæ³ķ":110895,"åħ¼é¡¾":110896,"è¡£æŁľ":110897,"æł½åŁ¹":110898,"æĪ¿æºIJ":110899,"设ç«ĭäºĨ":110900,"ä¸ĩåIJį":110901,"æķ°é¢Ŀ":110902,"è¦ģåĿļæĮģ":110903,"åIJīæŀĹçľģ":110904,"请èģĶç³»":110905,"ç»ıåİĨè¿ĩ":110906,"çļĦæľ¬è´¨":110907,"åħ¥éŨ":110908,"æľ¬æ¡Ī":110909,"çİĩè¾¾åĪ°":110910,"åı°éĺ¶":110911,"éĴŀ":110912,"æĪijèĥ½":110913,"èݲèĬ±":110914,"éĴł":110915,"ä¸Ģäºĭ":110916,"åİŁæľīçļĦ":110917,"æ¯ıåĢĭ":110918,"æ¯Ķäºļ迪":110919,"æ£ĭçīĮ游æĪı":110920,"ä¸įä¼ļæľī":110921,"å½ĴæĿ¥":110922,"äºĶçĻ¾":110923,"è¿ĩé«ĺ":110924,"éĽ·è¾¾":110925,"ä¸Ģèµ·åİ»":110926,"æķĻ导":110927,"å°±è¯Ĭ":110928,"å°±å¾Ī":110929,"ä¸įåIJĮäºİ":110930,"俺":110931,"å¸ĸåŃIJ":110932,"æĶ¿åįıå§Ķåijĺ":110933,"çĸ«æĥħå½±åĵį":110934,"åĪĨè£Ĥ":110935,"为ä»Ģä¹Īä¼ļ":110936,"äºĶæĺŁ":110937,"å°ijåĦ¿":110938,"æĬ¢éĻ©":110939,"梦è§ģ":110940,"è®°èĢħéĩĩ访":110941,"山路":110942,"æĪij个人":110943,"æ²Ļ滩":110944,"è¹Ń":110945,"æĶ¹è®Ĭ":110946,"æĸ°åŀĭåĨł":110947,"æĸ°åŀĭåĨłçĬ¶":110948,"åĮ»æĬ¤":110949,"åĮ»æĬ¤äººåijĺ":110950,"æµ·å°Ķ":110951,"åħ³äºİæĪij们":110952,"éĻ¤å¤ĸ":110953,"åºļ":110954,"宣åijĬ":110955,"ä¸īåįĥ":110956,"榨":110957,"ç§ijæĬĢ大åѦ":110958,"ä¸ĥåħ«":110959,"顺åºĶ":110960,"çĪ¸çĪ¸å¦Īå¦Ī":110961,"éĢīåıĸ":110962,"åī§çĥĪ":110963,"乡æĿijæĹħ游":110964,"积æŀģæݢ索":110965,"表çݰ为":110966,"å¾Īæ¸ħæ¥ļ":110967,"大åĨĽ":110968,"æĿ¥çĶµ":110969,"å¥ĹæĪ¿":110970,"çİ°è¡Į":110971,"享åıĹåĪ°":110972,"çľĭçĤ¹":110973,"åĽºå®ļèµĦ产":110974,"以人为":110975,"ä»¥äººä¸ºæľ¬":110976,"ä¸įå®Į":110977,"éĻį鼨":110978,"åģļçļĦäºĭæĥħ":110979,"并äºİ":110980,"顽强":110981,"èĢ¸":110982,"åĺ´å·´":110983,"缸åħ³ä¿¡æģ¯":110984,"æĪij没":110985,"æĪĺçķ¥æĢ§":110986,"æĢĿ念":110987,"åĪĺå¤ĩ":110988,"åĬ©æĶ»":110989,"é£İè²Į":110990,"éĿ¢å¯¹éĿ¢":110991,"积æŀģå¼Ģå±ķ":110992,"çĸĹæķĪ":110993,"çľĭ书":110994,"缺åı£":110995,"åĽ½æ°ijç»ıæµİ":110996,"使çĶ¨æĿĥ":110997,"éģ¥è¿ľ":110998,"å¡«è¡¥":110999,"第ä¸ī人":111000,"åįĬå¤ľ":111001,"æѦæ±īå¸Ĥ":111002,"æĪijåıijçİ°":111003,"ä¼ĺæĥłæĶ¿çŃĸ":111004,"é£İåı£":111005,"å°±ä¸įèĥ½":111006,"为主è¦ģ":111007,"æµģåĩº":111008,"å´ĩæĭľ":111009,"并ä¸įèĥ½":111010,"é«ĺä¸ī":111011,"ä¸ĸçķĮä¸ĬæľĢ":111012,"æĥ³å¿ħ":111013,"åħ¶æīĢ":111014,"åĢĻéĢī":111015,"åĢĻéĢī人":111016,"ä¸įçĪ±":111017,"åī¯ä½ľçĶ¨":111018,"人æ°ijæĹ¥æĬ¥":111019,"æĪijä¸įæĺ¯":111020,"å®ŀçī©":111021,"çĶµåİĤ":111022,"ä¹Łç®Ĺæĺ¯":111023,"æľīéĹľ":111024,"æľīèĥ½åĬĽ":111025,"æĮĤåľ¨":111026,"çľ¼ä¸ĭ":111027,"约翰":111028,"å°ıåѦçĶŁ":111029,"èµ·åĪ°äºĨ":111030,"工夫":111031,"åIJĮå¿ĥ":111032,"åĿ¦è¨Ģ":111033,"çłĮ":111034,"åıijæĮ¥äºĨ":111035,"èģĮä¸ļéģĵå¾·":111036,"è¿ĻäºĽå¹´":111037,"念头":111038,"èĢģé¼ł":111039,"åħ¨èµĦ":111040,"åħ¨èµĦåŃIJ":111041,"ä¸Ģåij³":111042,"å¤ļä¸ĩåħĥ":111043,"æł¼æľĥ":111044,"éķ¿éĢĶ":111045,"带走":111046,"èĭ±å¯¸":111047,"æĸĩä½ĵ":111048,"对ä»ĸ们":111049,"åĵŃäºĨ":111050,"å¡«æĬ¥":111051,"çīĪæĿĥ声æĺİ":111052,"çĶµçº¿":111053,"è´Ńçī©ä¸Ńå¿ĥ":111054,"饱满":111055,"ä½İ头":111056,"强迫":111057,"ä¿Ŀæ´ģ":111058,"欧åĨł":111059,"缸è¿ŀ":111060,"认è´Ń":111061,"çģ«æĺŁ":111062,"é«ĺå°Ķ":111063,"é«ĺå°Ķ夫":111064,"èij«èĬ¦":111065,"æłĩ注":111066,"çļĦçIJĨæĥ³":111067,"æł¸éħ¸":111068,"æł¸éħ¸æ£Ģæµĭ":111069,"åĬī":111070,"ä¸ĢèĪ¬æĺ¯":111071,"æĢĿç´¢":111072,"轨迹":111073,"çĥŃ带":111074,"éĻ£":111075,"åĩĨç¡®æĢ§":111076,"æĪ´çĿĢ":111077,"åľ¨çĶŁæ´»ä¸Ń":111078,"æīĢèĥ½":111079,"æľ¯åIJİ":111080,"å¸¦ä½ł":111081,"ç¥ł":111082,"æ®ĭéħ·":111083,"ä¹Łåıªæĺ¯":111084,"çĶ³è´Ń":111085,"举åĬŀäºĨ":111086,"æľīæĦıä¹ī":111087,"æĹºçĽĽ":111088,"åľ¨ç¶²":111089,"åľ¨ç¶²è·¯ä¸Ĭ":111090,"å¾Ī大ç¨ĭ度":111091,"管è¾ĸ":111092,"çĸ«æĥħæľŁéĹ´":111093,"触æij¸":111094,"éĺ¶æ®µæĢ§":111095,"ä¼ļè§īå¾Ĺ":111096,"çļĦçĶ»éĿ¢":111097,"æİ¥åıĹäºĨ":111098,"表达äºĨ":111099,"éĤĵå°ı":111100,"éĤĵå°ıå¹³":111101,"åħļé£İ":111102,"åħļé£İå»īæĶ¿":111103,"åķĨåѦéĻ¢":111104,"åħijæį¢":111105,"é£Łåĵģèį¯åĵģ":111106,"éĿŀ常好çļĦ":111107,"çľ¯":111108,"纳米":111109,"åĬ¨æijĩ":111110,"åĽŀéģ¿":111111,"çľĭèijĹ":111112,"款项":111113,"åħ«å¹´":111114,"åģļ个":111115,"æĸĩæ¡£":111116,"éĩijèŀįç§ijæĬĢ":111117,"åħ¶ä¸Ńæľī":111118,"äºĨä¸Ģç³»åĪĹ":111119,"æĹĹèĪ°åºĹ":111120,"称èµŀ":111121,"éĽ¢éĸĭ":111122,"åĪ¶åĨ·":111123,"家éŨåı£":111124,"åįģå¤ļ":111125,"ä¼´ä¾£":111126,"çľĭçĹħ":111127,"æĭīçĿĢ":111128,"æīĴ":111129,"çĸ²æĥ«":111130,"å°ijæķ°æ°ijæĹı":111131,"åĽ¾å½¢":111132,"轧":111133,"å¢ŀéĩı":111134,"饲åħ»":111135,"çģ«å±±":111136,"æ¯ı个æľĪ":111137,"ä½ľä¸ºä¸ĢåIJį":111138,"è½´æī¿":111139,"æĸĩ书":111140,"ç¼ķ":111141,"åħ·ä½ĵæĥħåĨµ":111142,"çĹĽçĤ¹":111143,"缴éĶĢ":111144,"å¡Ĭ":111145,"ä¹Łæľĥ":111146,"çĥŃæ½®":111147,"å¹³æ°ij":111148,"æ¼ĶåĶ±ä¼ļ":111149,"æķĻçłĶ":111150,"éĢĥéģ¿":111151,"ä¸Ģè´¯":111152,"å°±è¶Ĭ":111153,"å®ŀå®ŀåľ¨":111154,"å®ŀå®ŀåľ¨åľ¨":111155,"ä¹łè¿ijå¹³æĢ»":111156,"溺":111157,"å¿ĥåºķ":111158,"éķ¿å¾ģ":111159,"媽媽":111160,"第ä¸ī次":111161,"åĩºæ¼Ķ":111162,"çĭĢæ³ģ":111163,"å°Ķæĸ¯":111164,"代çIJĨåķĨ":111165,"çĨı":111166,"çļĦ对象":111167,"çĶµéĩı":111168,"è¡ĮåĪĹ":111169,"åĽ½äºº":111170,"è·ijäºĨ":111171,"åįĶåĬ©":111172,"èIJ¥è¿IJ":111173,"å¸ĪåħĦ":111174,"榮":111175,"æĥ³åĥı":111176,"æĢ§å¼º":111177,"ç§ijåѦçłĶ究":111178,"延å®ī":111179,"ä¸¥æł¼èIJ½å®ŀ":111180,"é¢Ĩä¼ļ":111181,"çĽ¸å·®":111182,"路人":111183,"çĶ«":111184,"æľīä»·åĢ¼":111185,"æľīä»·åĢ¼çļĦ":111186,"ç¾İåĽ¢":111187,"æ°ij主çĶŁæ´»":111188,"æĪijæīį":111189,"ç¾İåĽ½äºº":111190,"æ°Ķåij³":111191,"åıįå°Ħ":111192,"çļĦåĨ³å¿ĥ":111193,"大è±Ĩ":111194,"交代":111195,"è¿Ľåĩº":111196,"åıįæĬĹ":111197,"æĮĩçļĦæĺ¯":111198,"ä»·ä½į":111199,"è¿Ľé©»":111200,"ä¸ĬçĻ¾":111201,"ä½įåĪĹ":111202,"ä¸ŃåĽ½ä¼ģä¸ļ":111203,"çļĦ好å¤Ħ":111204,"主ç¼ĸ":111205,"汽油":111206,"ä½ĨæĪij们":111207,"æĢİä¹Īçľĭ":111208,"é»Ħå±±":111209,"å¤ļåªĴä½ĵ":111210,"åIJİåį«":111211,"èİ·å¾ĹæĽ´å¤ļ":111212,"åĬ¡å¿ħ":111213,"为å¥ijæľº":111214,"é¦ĸ饰":111215,"ä¸ĩåįļ":111216,"è¶ĬæĿ¥è¶Ĭ大":111217,"ä¸ĵ项è¡ĮåĬ¨":111218,"å¥ĭè¿Ľ":111219,"ä»įçĦ¶æĺ¯":111220,"è´¨æĦŁ":111221,"å¦Ĥæŀľä¸įæĺ¯":111222,"ç«Ļèµ·æĿ¥":111223,"ä¹¾éļĨ":111224,"åı¯æĢķçļĦ":111225,"å¯Įè´µ":111226,"æ¸ħç®Ĺ":111227,"åIJijä¸ĭ":111228,"åĢļ":111229,"çļĦçŃĶæ¡Ī":111230,"èĪ¹ä¸Ĭ":111231,"çļĦ羣å®ŀæĢ§":111232,"çŃīåĬŁèĥ½":111233,"åĸľåī§":111234,"å¨ģåĬĽ":111235,"æĸ°é¢ĸ":111236,"æł¸çĶµ":111237,"æĬ¥éĶĢ":111238,"æķħ乡":111239,"ä¼´éļı":111240,"éŀŃ":111241,"å¦Ĭå¨ł":111242,"åĪĨåĮĸ":111243,"æľīå¾Ī大":111244,"æĢİä¹Ī说":111245,"æĻĤ代":111246,"产åĩº":111247,"ä»ĭç»į说":111248,"å¤ĦçIJĨåĻ¨":111249,"èĨ¨èĥĢ":111250,"åī¯å¸Ĥéķ¿":111251,"çļĦ妻åŃIJ":111252,"æł·åĵģ":111253,"åIJĮæ¯Ķä¸ĭéĻį":111254,"åħĥå·¦åı³":111255,"çĶ¨èĩªå·±çļĦ":111256,"é«ĺéĽĦ":111257,"æĺ¥æĻļ":111258,"ä¹Łæľīå¾Īå¤ļ":111259,"çľ¼çIJĥ":111260,"æķ£æŃ¥":111261,"ä»ĸ们éĥ½":111262,"第ä¸Ģ家":111263,"åĬŀ好":111264,"å®īéĺ²":111265,"ä¸Ģä¸ĩ":111266,"åľ¨éĩĮéĿ¢":111267,"éŁ³é¢ij":111268,"åı£åı·":111269,"ä¸Ģè¶Ł":111270,"ç¦ıçī¹":111271,"é³ŀ":111272,"æĥĬèī³":111273,"æĸ°å¨ĺ":111274,"绿èī²åıijå±ķ":111275,"ä¸Ńå¼ı":111276,"ä¹Łåıªæľī":111277,"çݰ身":111278,"åı¯ä¾Ľ":111279,"æ¯ıä¸Ģ个人":111280,"第ä¸īèĢħ":111281,"åľ°å½¢":111282,"éĴ¢ç»ĵæŀĦ":111283,"çĽijçĿ£æ£ĢæŁ¥":111284,"åı«æĪij":111285,"èĩ´æķ¬":111286,"æ´Ĺæīĭ":111287,"ä¸ĭè°ĥ":111288,"康çĨĻ":111289,"æĪIJ交éĩı":111290,"ä¹ŁæĪIJ为":111291,"åħīæ»ij":111292,"å®Įæķ´æĢ§":111293,"çģ¼":111294,"網éłģ":111295,"éķ¿å¯¿":111296,"éģ©çĶ¨":111297,"çļĦä¸Ģ项":111298,"çŀ©çĽ®":111299,"æĬĬèĩªå·±çļĦ":111300,"éĵ¶è¡Įåį¡":111301,"å°±å¿ħé¡»":111302,"ç¾İçĻ½":111303,"éŀįå±±":111304,"æľ¬é¢Ĩ":111305,"ä¸Ģç¢Ĺ":111306,"æīĵæ³ķ":111307,"æĤ¨å¥½":111308,"对åŃ©åŃIJ":111309,"æĬ¥éģĵ称":111310,"ä¼łåĩº":111311,"大èĩ£":111312,"ç¬ĭ":111313,"çĽı":111314,"é¾ļ":111315,"çĽ´çº¿":111316,"æĻºåºĵ":111317,"ç§Łè½¦":111318,"é£İåij³":111319,"çľĭä¸Ģä¸ĭ":111320,"æݨéĶĢ":111321,"éĥ¨éĥ¨éķ¿":111322,"è´¨éĩıåĴĮ":111323,"åĪĬçĻ»":111324,"å·¥ä¸ļåĮĸ":111325,"çİĩ为":111326,"鼶件":111327,"硬åĮĸ":111328,"ä¸Ĭåįĥ":111329,"ç»ıéªĮåĢ¼":111330,"å¹³è¡Į":111331,"声éģĵ":111332,"æľįåĬ¡è´¨éĩı":111333,"çĶŁçĶ¢":111334,"æľĢ容æĺĵ":111335,"ä¸Ģæŀļ":111336,"å¹´æĬ¥":111337,"åħ¬ç½ij":111338,"åħ¬ç½ijå®ī":111339,"åħ¬ç½ijå®īå¤ĩ":111340,"çļĦèĥ½éĩı":111341,"å®ŀéĻħè¡ĮåĬ¨":111342,"è¦ģä¸įè¦ģ":111343,"æĹ¥æľ¬äºº":111344,"èĢ¶ç¨£":111345,"ç¼ĸåī§":111346,"涩":111347,"åį°å°¼":111348,"ä¸Ĭä¸ĭ游":111349,"åĩłåı¥":111350,"ä¸Ńéĵģ":111351,"ç°¡åĸ®":111352,"èĩªå¸¦":111353,"çĶŁäºİ":111354,"ä¸Ģåı£æ°Ķ":111355,"åĭ¤å¥ĭ":111356,"éĻįä»·":111357,"å±ķçİ°äºĨ":111358,"å¸ĥæĭī":111359,"ä¼ļéĢīæĭ©":111360,"çļĦç»ıåħ¸":111361,"好æľĭåıĭ":111362,"车éģĵ":111363,"æķ´åĢĭ":111364,"åľĵ":111365,"éķ¿æľŁä»¥æĿ¥":111366,"æĬķå½±":111367,"çļĩåĨł":111368,"è¿ĩ大":111369,"åijĬè¯īä»ĸ":111370,"ä¼ģä¸ļæıIJä¾Ľ":111371,"æĬ½è±¡":111372,"éĢĤ度":111373,"çļĦ女åŃ©":111374,"èµ·ä¼ı":111375,"çļĦåĬŁæķĪ":111376,"ä¸ĵ项æķ´æ²»":111377,"åı¯éĢļè¿ĩ":111378,"ä¸įåIJĮç¨ĭ度":111379,"å¼Ĥè®®":111380,"åĩĢèµĦ产":111381,"åijĹ":111382,"ä»Ģä¹Īåij¢":111383,"å·¡éĢ»":111384,"è¸ıä¸Ĭ":111385,"ä½Ĩå®ĥ":111386,"精度":111387,"管å±Ģ":111388,"第ä¸ĢåIJį":111389,"åĨħåŃĺ":111390,"æijĨåľ¨":111391,"åī©ä¸ĭ":111392,"主ä½ĵ责任":111393,"çĤ¹åįĬ":111394,"以èĩ³äºİ":111395,"åħ»èĢģä¿ĿéĻ©":111396,"æĦŁåıĹåĪ°äºĨ":111397,"çŁ¥åIJįçļĦ":111398,"å¯Į豪":111399,"妥åĸĦ":111400,"åŃĻåŃIJ":111401,"éĵĤ":111402,"说èĩªå·±":111403,"让æĤ¨":111404,"æķ°æݧ":111405,"çļĦçľ¼åħī":111406,"注éĶĢ":111407,"çļĦçģµéŃĤ":111408,"è¿ĺä¸įéĶĻ":111409,"éĹ®ä»ĸ":111410,"èĩªä¸»çłĶåıij":111411,"èĵĭ":111412,"ç´«èī²":111413,"åĽ½å®¶å®īåħ¨":111414,"è¾½å®ģçľģ":111415,"ä¹Łæ¯Ķè¾ĥ":111416,"ç¾İèĤ¡":111417,"ä¸įç¡®å®ļæĢ§":111418,"å¿ĥ头":111419,"æĪ³":111420,"级åĪ«çļĦ":111421,"论述":111422,"çļĦåĽŀçŃĶ":111423,"ä¿Ŀè¯ģéĩij":111424,"çŃīè¡Įä¸ļ":111425,"幸ç¦ıæĦŁ":111426,"æѧè§Ĩ":111427,"æľºç¥¨":111428,"派人":111429,"èĩ´åij½":111430,"åĺ´è§Ĵ":111431,"æĸ°éĹ»ä¸Ńå¿ĥ":111432,"æĶ¾å¼ĥäºĨ":111433,"å®ľå±ħ":111434,"åĨĻä¸ĭ":111435,"éĹ®çŃĶ":111436,"è¿ĻéĩĮæĺ¯":111437,"å¤ļåľ°":111438,"åĮºåŁŁåĨħ":111439,"åīµæĸ°":111440,"çľĭä»ĸ":111441,"æī§æ³ķ人åijĺ":111442,"åĬ¨æľº":111443,"éŁ³åĵį":111444,"çļĦåij½è¿IJ":111445,"顶éĥ¨":111446,"åĵŁ":111447,"éĥ½æľĥ":111448,"æīĵéĢłæĪIJ":111449,"æĦıåĽ¾":111450,"çļĸ":111451,"åĢĴåħ¥":111452,"å·´èIJ¨":111453,"åĬ©åѦ":111454,"å¤įåı¤":111455,"åIJ¯çĶ¨":111456,"åĽ½éĻħå¸Ĥåľº":111457,"åĤ¨èĥ½":111458,"é»ijé¾Ļæ±Łçľģ":111459,"ä¹ĺ车":111460,"è¿IJåĬ¨ä¼ļ":111461,"ä¿ĿåĪ©":111462,"çŁ³æĿIJ":111463,"çµ®":111464,"çĤĴä½ľ":111465,"çļĦä¿¡ä»»":111466,"å°±æĪIJäºĨ":111467,"åı¯è§Ĥ":111468,"çļĩä¸Ĭ":111469,"è¿Ļåĩłå¤©":111470,"ä¸ĢéĶ®":111471,"åĨ·åĨ»":111472,"ä¿Ŀåį«":111473,"æł¸æ¡ĥ":111474,"åIJĪä½ľåħ³ç³»":111475,"éĢģåĩº":111476,"æĹĹä¸ĭçļĦ":111477,"åľ¨ä¹İ":111478,"为广大":111479,"åįĪé¤IJ":111480,"ä¸ĵ访":111481,"æĪĸå°Ĩ":111482,"éĿĴå²Ľå¸Ĥ":111483,"å¥Ķè·ij":111484,"æĹ¥æĬ¥éģĵ":111485,"å¥ijåIJĪ":111486,"æĸ°æĺ¥":111487,"ä¸įå°ıå¿ĥ":111488,"两ä¸ī":111489,"æĦıæĢĿæĺ¯":111490,"åĨ·èĹı":111491,"çļĦçĹĩçĬ¶":111492,"æĢ§åij½":111493,"è¶ħæłĩ":111494,"å¯Ĩ碼":111495,"ç§ijæĬĢèĤ¡ä»½":111496,"äºĨä¸Ģæī¹":111497,"çĿ£å¯Ł":111498,"åªĴä»ĭ":111499,"å°Ħæīĭ":111500,"ä¿®åħ»":111501,"çīĩåĪ»":111502,"éĢĤåIJĪèĩªå·±":111503,"åıªè¦ģæĺ¯":111504,"åIJĥè¿ĩ":111505,"éĩijéĵ¶":111506,"缴å±ŀ":111507,"åѦéĹ®":111508,"åİĭåĪ¶":111509,"çªĹå¤ĸ":111510,"æĶ¶åĪ°äºĨ":111511,"åħ¨åĽ½äººå¤§":111512,"ä½Ĩæĺ¯å¯¹äºİ":111513,"åľ¨æķ´ä¸ª":111514,"çļĦèĥĮåIJİ":111515,"åĩıå°ijäºĨ":111516,"åıįèħIJ":111517,"åıįèħIJåĢ¡":111518,"åıįèħIJåĢ¡å»ī":111519,"æĹ·":111520,"åĪĨæľŁ":111521,"åľ¨æ·±åľ³":111522,"æīĵçĿĢ":111523,"æī«ä¸Ģ":111524,"æī«ä¸Ģæī«":111525,"æĶ¿åºľéĥ¨éŨ":111526,"æİ¥è¿ŀ":111527,"å±ŀäºİèĩªå·±":111528,"åŃIJå¼¹":111529,"åIJĮæł·æĺ¯":111530,"æĢ»åħ±":111531,"车ä¼ģ":111532,"æ¢ĵ":111533,"åħ¬é¡·":111534,"åıij声":111535,"éĴĽ":111536,"èµ°åĬ¿åĽ¾":111537,"主èIJ¥":111538,"åĸĶ":111539,"æķ°æį®åĪĨæŀIJ":111540,"ä¸įè¿ľ":111541,"æľīåIJį":111542,"æľīåIJįçļĦ":111543,"åģ¿è¿ĺ":111544,"å¾Īä½İ":111545,"è®ĵ人":111546,"èĿī":111547,"é«ĺè´µ":111548,"å°ij许":111549,"æ°Ł":111550,"å¹¢":111551,"亲æĥħ":111552,"è¿Ļ件äºĭæĥħ":111553,"çĶ¨é¤IJ":111554,"缸åħ³æĸ°éĹ»":111555,"å°±åºĶ该":111556,"ç»ĪçĤ¹":111557,"æĺ¯å¤ļå°ij":111558,"çĻ»åľº":111559,"è¯ķ管":111560,"è¯ķ管婴åĦ¿":111561,"åģļ大":111562,"åģļ大åģļ强":111563,"çļĦä¾ĭåŃIJ":111564,"åħ«ä¸ª":111565,"æĺİæĹ¥":111566,"çĤ³":111567,"èµ°åİ»":111568,"éģº":111569,"墩":111570,"ä½ĵä¼ļåĪ°":111571,"åĴı":111572,"ä¸ĭè¾¾":111573,"å¤įåıij":111574,"追éĢIJ":111575,"æīĵåĵį":111576,"çļĦéļ±ç§ģæ¬Ĭ":111577,"åħ·æľīä¸Ģå®ļ":111578,"è¿Ļä¹Īå¤ļå¹´":111579,"æłijæŀĹ":111580,"æľĢéķ¿":111581,"åIJĮèĥŀ":111582,"åħīæ³½":111583,"åŁŁåIJį":111584,"æĮĩåIJij":111585,"åıĹ害èĢħ":111586,"æłijèĦĤ":111587,"æľīå¤ļ大":111588,"大éĿ¢ç§¯":111589,"æĹłç¼Ŀ":111590,"æĶ¹æŃ£":111591,"æĽ´å¤ļçļĦæĺ¯":111592,"æľŁæľ«":111593,"æŃ¼":111594,"ä¹īä¹Į":111595,"éĤ£ä½ł":111596,"çļĦ第ä¸Ģ个":111597,"èĮµ":111598,"å°§":111599,"èį«":111600,"ä¸įä»ħåı¯ä»¥":111601,"æ¶Įçİ°":111602,"æĢ»éĿ¢ç§¯":111603,"æĸ°éĹ»åıijå¸ĥ":111604,"æ°ijçĶ¨":111605,"就读":111606,"æīĵè´¥":111607,"å¤ĸè¯Ń":111608,"æĪij们ä¸Ģèµ·":111609,"é¢Ħå®ļ":111610,"çĥ¹é¥ª":111611,"æľĢ主è¦ģ":111612,"æľĢ主è¦ģçļĦ":111613,"çīĮçħ§":111614,"åĽłåħ¶":111615,"ä½İä¸ĭ":111616,"ä¼ļåIJĮ":111617,"è§ģ解":111618,"éĹ´éļĶ":111619,"æķĻç¨ĭ":111620,"å°ī":111621,"å¸Ĥä¸Ńå¿ĥ":111622,"åħ³éĶ®æĺ¯":111623,"æµ·åįĹçľģ":111624,"çī¹åĪ«æĺ¯åľ¨":111625,"ä¸ŃåĽ½å¤§éĻĨ":111626,"åħħ足çļĦ":111627,"æĹ¢èĥ½":111628,"åĤ³çµ±":111629,"çijľä¼½":111630,"åħ¥åĽ´":111631,"æħ¢æħ¢åľ°":111632,"æĬ¥éħ¬":111633,"æī¹å¤į":111634,"å·¥ä¸ļåĽŃåĮº":111635,"ä¸İåıijå±ķ":111636,"èĥ¸éĥ¨":111637,"åľ¨ç½ij绾":111638,"åľ¨ç½ij绾ä¸Ĭ":111639,"交è°Ī":111640,"æĽ´æĶ¹":111641,"åįłæľīçİĩ":111642,"ä¸Ŀ绸ä¹ĭè·¯":111643,"è¡Ľ":111644,"çłĶåĪ¤":111645,"åĪª":111646,"åĪªéĻ¤":111647,"è¿Ļåıª":111648,"çļĦæ°Ķæģ¯":111649,"åĬłå·ŀ":111650,"éĴ§":111651,"çIJĨäºĭéķ¿":111652,"ä¸ĸ家":111653,"æµģè¡ĮçļĦ":111654,"å¾Īæľīåı¯èĥ½":111655,"们éĥ½":111656,"ç»ıèIJ¥æ¨¡å¼ı":111657,"è¡Įä¸ļä¸Ń":111658,"éĢļçŁ¥ä¹¦":111659,"åij½é¢ĺ":111660,"æľ¬ç¶²ç«Ļ":111661,"æ²Ļçī¹":111662,"åıijåħī":111663,"é«ĺä»·":111664,"å·²çĦ¶":111665,"åıĮåįģä¸Ģ":111666,"ä¸Ĭè¯ī":111667,"ç¿ħèĨĢ":111668,"è¿Ļä¸Ģå¹´":111669,"大ä¼ļä¸Ĭ":111670,"éĩī":111671,"å®Įåħ¨æĺ¯":111672,"å¾Ĺ太":111673,"ä¸ĢèĪ¬äºº":111674,"è¿ĺç®Ĺ":111675,"æĬĺåıł":111676,"æĬķæľº":111677,"çĤ¹çĩĥ":111678,"çİ°éĩijæµģ":111679,"åħĶåŃIJ":111680,"ç½ijæł¼":111681,"æİ¥è¿ĩ":111682,"ä¾Ľè´§":111683,"éĺ´å½±":111684,"åİŁåħĪ":111685,"æį£":111686,"左侧":111687,"åħĭæĭī":111688,"æīĵåį¡":111689,"ç§ijæ¯Ķ":111690,"æ±ĩéĽĨ":111691,"åľ°çIJĨä½įç½®":111692,"è¯Ħå§Ķ":111693,"ç»ĵåIJĪèµ·æĿ¥":111694,"è¿Ľåħ¥åĪ°":111695,"åı¯è¡Į":111696,"åı¯è¡ĮæĢ§":111697,"让å®ĥ":111698,"åĪ¶åº¦æĶ¹éĿ©":111699,"çĶĺèĤĥçľģ":111700,"åĵĹ":111701,"åģıåģı":111702,"è¡£çī©":111703,"ç¥Ŀè´º":111704,"æºIJèĩª":111705,"并ä¸į代表":111706,"åĽ½åº¦":111707,"好åĿı":111708,"æĿĸ":111709,"æĿŃå·ŀå¸Ĥ":111710,"湿度":111711,"鲸":111712,"åįļ彩":111713,"æ³°å±±":111714,"æĿijèIJ½":111715,"æĸ°èģŀ":111716,"èĤĭ":111717,"åı¤èĢģçļĦ":111718,"çļĦç§ĺå¯Ĩ":111719,"ä¸Ģ个éĹ®é¢ĺ":111720,"éģıåĪ¶":111721,"åįĥ亿":111722,"è¿ĩ硬":111723,"å°Ħåĩ»":111724,"èĩªçĦ¶æĺ¯":111725,"产åĮº":111726,"çĤ¹çĤ¹å¤´":111727,"åı¯ä»¥å¸®åĬ©":111728,"说å®ŀ":111729,"说å®ŀè¯Ŀ":111730,"æĪijåıªæĺ¯":111731,"ä¹ĭä½Ļ":111732,"åIJĮæĹ¶ä¹Łæĺ¯":111733,"ä¸ŃåĽ½éĺŁ":111734,"建æĪIJåIJİ":111735,"ä¹IJè§Ĩ":111736,"åij¨å²ģ":111737,"èį¯åºĹ":111738,"éĩijåįİ":111739,"严éĩįå½±åĵį":111740,"è´¨åľ°":111741,"æĹħéģĬ":111742,"åħµåĻ¨":111743,"æķĻèĤ²æķĻåѦ":111744,"离åİ»":111745,"åIJĦå¼ıåIJĦæł·":111746,"ä»ĭç´":111747,"ä»ĭç´¹":111748,"å¼Ģ头":111749,"å°Ĩèĩªå·±çļĦ":111750,"åIJ¬åĬĽ":111751,"ä¿¡æģ¯ç³»ç»Ł":111752,"ä»İæł¹æľ¬":111753,"ä»İæł¹æľ¬ä¸Ĭ":111754,"æİĮ声":111755,"欢åĸľ":111756,"å±ķåĮº":111757,"åķ¸":111758,"太å¤ļäºĨ":111759,"éĹ²ç½®":111760,"èĥ¡èIJĿåįľ":111761,"å§Ķå®£ä¼ł":111762,"å§Ķå®£ä¼łéĥ¨":111763,"åįĹéĺ³":111764,"å·ŀåĮº":111765,"ä¸İæŶ":111766,"ä¸İæĹ¶ä¿±":111767,"ä¸İæĹ¶ä¿±è¿Ľ":111768,"å«Įçĸij人":111769,"èī¯å¿ĥ":111770,"头顶":111771,"è´¢æĬ¥":111772,"ä½Ľæ³ķ":111773,"å¾µ":111774,"åİŁä»¶":111775,"åĭŀ":111776,"çĶ·ç¯®":111777,"å¤ĸåĽ½äºº":111778,"è¿Ŀ纪":111779,"æī¾äºĨ":111780,"æįķæįī":111781,"缸è¯Ĩ":111782,"æIJľéĽĨ":111783,"çļĦä¼Łå¤§":111784,"ä¸īç»´":111785,"å°±è¡ĮäºĨ":111786,"çĭIJæľĪ":111787,"çĭIJæľĪå±±":111788,"å¸ĮæľĽéĢļè¿ĩ":111789,"èĢĮ对äºİ":111790,"éĿ¢å°į":111791,"åĨĽåĽ¢":111792,"è¡ĹåĮº":111793,"æĤ¬æĮĤ":111794,"便ç§ĺ":111795,"æľīä¸ĢçĤ¹":111796,"ä¼ļè®®ä¸Ĭ":111797,"ä¸ĭæīĭ":111798,"廣åijĬ":111799,"äºĶè¡Į":111800,"çŃīåĢĻ":111801,"ç´§ç´§åĽ´ç»ķ":111802,"æĭ¿äºĨ":111803,"æ¡ĮéĿ¢":111804,"ç¥ŀæĥħ":111805,"éĽĦåİļ":111806,"çŀ³":111807,"楼ä¸ĭ":111808,"彪":111809,"äºĭåıij":111810,"åĨįè§ģ":111811,"é¤ĺ":111812,"é¢ĦåĶ®":111813,"åİ»çľĭçľĭ":111814,"æĪij们åºĶ该":111815,"ä¸ī家":111816,"æµĬ":111817,"ä¹IJéĺŁ":111818,"çľĭä¸įè§ģ":111819,"èĦijåŃIJ":111820,"æĮģæľīçļĦ":111821,"çĻ½èıľ":111822,"éĹªçĥģ":111823,"åĸĿæ°´":111824,"æݧåĪ¶ç³»ç»Ł":111825,"ä¸ĵåĮº":111826,"æľĿå»·":111827,"æĪijå¿ĥéĩĮ":111828,"å±ķåİħ":111829,"èľĺèĽĽ":111830,"åĨ»ç»ĵ":111831,"粪":111832,"åºIJ":111833,"åIJij社ä¼ļ":111834,"åĨ³çŃĸéĥ¨ç½²":111835,"çŁŃæľŁåĨħ":111836,"æĸ°ä¸ļæĢģ":111837,"æľĶ":111838,"æŶæĬ¥":111839,"使ä¹ĭ":111840,"åĽłåŃIJ":111841,"åıĤä¸İèĢħ":111842,"çļĦ年轻人":111843,"æīĭ表":111844,"å°ģéĶģ":111845,"为ä»Ģä¹Īä¸į":111846,"åIJ¸çĥŁ":111847,"æ¯Ĵç´ł":111848,"åĪijæ³ķ":111849,"磫æŃ£":111850,"身æĹģ":111851,"åİŁè°ħ":111852,"çĽijæĬ¤":111853,"æѤå¤Ħ":111854,"éļ¨æĻĤ":111855,"æŀľå®ŀ":111856,"åĮ»çĸĹæľįåĬ¡":111857,"ä¸įåIJĪçIJĨ":111858,"æIJŀ好":111859,"çļĦèĦļæŃ¥":111860,"å¤ĸå¥Ĺ":111861,"ç¶ĵéģİ":111862,"æĶ¾ç¼ĵ":111863,"åģľçķĻ":111864,"æĺŁçIJĥ":111865,"çļĦä¸ĢéĿ¢":111866,"åĩłä½ķ":111867,"è½®åĽŀ":111868,"æ¯Ľå·¾":111869,"ä¿®çIJĨ":111870,"ä¸įçŁ¥ä¸į":111871,"ä¸įçŁ¥ä¸įè§ī":111872,"æķ´ä¸ªäºº":111873,"æ¯ģçģŃ":111874,"åı°å·ŀ":111875,"使çĶ¨å¯¿åij½":111876,"é»ijçĻ½":111877,"æij¸ç´¢":111878,"é¼łæłĩ":111879,"éĿ©æĸ°":111880,"麵":111881,"ä¸ĵéĹ¨ä¸º":111882,"å¾Īå¤ļæľĭåıĭ":111883,"å·¥ä½ľç»Ħ":111884,"åIJĪå½±":111885,"çĤºä»Ģ麼":111886,"æŀģ度":111887,"çļĦè¿ĽæŃ¥":111888,"å½ĵä¹ĭ":111889,"å½ĵä¹ĭæĹł":111890,"å½ĵä¹ĭæĹłæĦ§":111891,"è´´è¿ij":111892,"尺度":111893,"åľ¨çİ°åľº":111894,"éĻį临":111895,"åħ»èĢģéĩij":111896,"ç£ķ":111897,"åı¯ä»¥ä½¿":111898,"管çIJĨæ°´å¹³":111899,"æľ¬æĬ¥è®°èĢħ":111900,"æ³ķ令":111901,"åį¡è½¦":111902,"ä¸ľæµ·":111903,"å¤ļéĩį":111904,"åħ¶éĹ´":111905,"ç´Ļ":111906,"éĩįå¤§é¡¹çĽ®":111907,"æ±Ĺæ°´":111908,"ç»Ħå§Ķä¼ļ":111909,"ä¿¡æģ¯åħ¬å¼Ģ":111910,"ä¸į论æĺ¯":111911,"ä¸ĢåIJ¬":111912,"èĴ¸æ±½":111913,"æıŃç§ĺ":111914,"è¶ħéģİ":111915,"触åıij":111916,"婦":111917,"åħ³èģĶ交æĺĵ":111918,"å°±ç»Ļ大家":111919,"好ä¹ħ":111920,"åĢŁè´·":111921,"游æĪıè§Ĵèī²":111922,"å¼ĢåIJ¯äºĨ":111923,"æİł":111924,"åħļçļĦåįģä¹Ŀ":111925,"ä¸ĭ鼨":111926,"çŁŃæŶéĹ´åĨħ":111927,"å¯ħ":111928,"导åħ¥":111929,"å·¥ä½ľç»ıéªĮ":111930,"ä¹Łåıªèĥ½":111931,"鼷éľĨ":111932,"è·Łè¿Ľ":111933,"åį¡éĢļ":111934,"é¢ĩæľī":111935,"æľºä½ĵ":111936,"æĪĺ士èģĮä¸ļ":111937,"女主":111938,"ä½ĵåĪ¶æľºåĪ¶":111939,"足åįı":111940,"èĪĴéĢĤçļĦ":111941,"åĢŁåı£":111942,"æī¹åĪ¤":111943,"æķ°åĢ¼":111944,"諾":111945,"éĺ¿æĭī伯":111946,"åĺİ":111947,"æħ¶":111948,"达人":111949,"å¼Ģæ°´":111950,"å¤§éĽ¨":111951,"温室":111952,"ä½İè¿·":111953,"ä»įæŧ":111954,"éªĹåŃIJ":111955,"亲å±ŀ":111956,"çIJĨæĻº":111957,"æľ¬åŁºéĩij":111958,"å¨ħ":111959,"åĨĻåŃĹ楼":111960,"å¢Ļå£ģ":111961,"宵":111962,"èĻ½çĦ¶æĺ¯":111963,"顺çĿĢ":111964,"åħ«åį¦":111965,"åķĨçĶ¨":111966,"ä¸į失":111967,"è¿·èĮ«":111968,"顺便":111969,"æļijæľŁ":111970,"æ¬ºè´Ł":111971,"é¢ijé¢ij":111972,"è¯¥æł¡":111973,"æĸĻçIJĨ":111974,"æ·±æĥħ":111975,"åīįéĶĭ":111976,"ä¿ĿèŃī":111977,"èģĮä¸ļçĶŁæ¶¯":111978,"åħ¬å¼Ģåıij":111979,"åħ¬å¼Ģåıijè¡Į":111980,"åħ¥æĪ·":111981,"éłĵ":111982,"åĢ¾åIJ¬":111983,"éŃģ":111984,"æĦīæĤ¦":111985,"åĽŀåIJĪ":111986,"åħ¨åĬĽä»¥":111987,"åħ¨åĬĽä»¥èµ´":111988,"åĥ¹åĢ¼":111989,"èĥ½åĬĽå¼º":111990,"ç»ıå¼Ģ":111991,"ç»ıå¼ĢåĮº":111992,"è¿ľæĸ¹":111993,"çļĦéģĵçIJĨ":111994,"缴åįĩ":111995,"缴åįĩæľº":111996,"为主é¢ĺçļĦ":111997,"ç»ĻæĤ¨":111998,"è¿ĺæĥ³":111999,"æ¯ĶæĪij":112000,"åĨľçī§":112001,"æµ·åºķ":112002,"çŃ¾è®¢äºĨ":112003,"对äºİæĪij们":112004,"æĹ¶è®¸":112005,"éĶ®çĽĺ":112006,"å®ŀéĻħæݧåĪ¶":112007,"çļĦæ¨¡æł·":112008,"åıįæĺłäºĨ":112009,"代åĬŀ":112010,"åĮ»çĶ¨":112011,"éĽĨç»ĵ":112012,"åıijå±ķåīįæĻ¯":112013,"æĮĩçĿĢ":112014,"åįİåĮĹ":112015,"è¿Ļåĩłä¸ª":112016,"åIJįæ°Ķ":112017,"åĤįæĻļ":112018,"èĩªåıij":112019,"æ³¢åħ°":112020,"大åĬĽæİ¨è¿Ľ":112021,"èĩªç§°":112022,"èįĨå·ŀ":112023,"æIJį害":112024,"äºĨä¸Ģåı¥":112025,"æľĢåĪĿçļĦ":112026,"éĩijèŀįåį±æľº":112027,"æĢĢ念":112028,"è¡Įåĭķ":112029,"女æİĴ":112030,"ä¸į解":112031,"ä¼łéĶĢ":112032,"转载请":112033,"饰åĵģ":112034,"åıªä¸º":112035,"ä¸İä¼Ĺ":112036,"ä¸İä¼Ĺä¸įåIJĮ":112037,"èĥ½èĢĹ":112038,"èı©æıIJ":112039,"è¿ij两年":112040,"è¿Ķ乡":112041,"马ä¸Ĭå°±":112042,"äºĮçŃīå¥ĸ":112043,"水管":112044,"æ³ķåѦ":112045,"çģŃçģ«":112046,"大å§IJ":112047,"åij¨è½¬":112048,"æľīæľŁ":112049,"æľīæľŁå¾Ĵ":112050,"æľīæľŁå¾ĴåĪij":112051,"å°įæĸ¹":112052,"ç¥ŀèī²":112053,"æ²¹èĦĤ":112054,"ä¸īçĤ¹":112055,"ä¸įåĪ©äºİ":112056,"äºĭä¸ļéĥ¨":112057,"å°±è·Ł":112058,"å¼ĢæĶ¯":112059,"å°ı女åŃ©":112060,"åħ±åIJĮåĬªåĬĽ":112061,"çĶļèĩ³è¿ĺ":112062,"è¿ĻåIJį":112063,"è¿Ļç¬Ķ":112064,"çݯåį«":112065,"æľīç§į":112066,"è§ĨåĬĽ":112067,"çĨŁçŁ¥":112068,"åħ¬ç§¯éĩij":112069,"æ¶Īéĺ²å®īåħ¨":112070,"é¢ĩ为":112071,"大èħ¿":112072,"éĿ¶":112073,"çī¹æķĪ":112074,"æľįåĬ¡åĮº":112075,"å¼Ģåĩº":112076,"深度èŀįåIJĪ":112077,"æĹłå¿§":112078,"æŁ¥éĺħ":112079,"ç»Īç»ĵ":112080,"ä¿Ŀç¨İ":112081,"è¨İè«ĸ":112082,"å½ĵåģļ":112083,"è·³èĪŀ":112084,"寧":112085,"女çİĭ":112086,"è®°èĢħåľ¨":112087,"åħ¨äº§ä¸ļéĵ¾":112088,"è´¯éĢļ":112089,"åħ´ä¸ļ":112090,"éĻįåĪ°":112091,"å°ģéĿ¢":112092,"åħ¨éĿ¢æİ¨è¿Ľ":112093,"奶èĮ¶":112094,"éĢīåĿĢ":112095,"äºĨä¸Ģåľº":112096,"åIJĮä¼´":112097,"议论":112098,"æIJĵ":112099,"诸èijĽ":112100,"诸èijĽäº®":112101,"å¹²åĺĽ":112102,"æµģæĦŁ":112103,"ä¸ĵä¸ļçŁ¥è¯Ĩ":112104,"çĶµç«Ļ":112105,"åĩıå¼±":112106,"åĩºåħ¥":112107,"åIJĦçľģ":112108,"éĿŀ常é«ĺ":112109,"åľ°æ¯¯":112110,"åıijæĸĩ":112111,"çĦī":112112,"çĥ§çĥ¤":112113,"å£ģ纸":112114,"æģ¶åĮĸ":112115,"èĬ¸":112116,"èĥĸåŃIJ":112117,"çĩĴ":112118,"çľģéĴ±":112119,"çĻ¾å¼º":112120,"çIJĨ工大åѦ":112121,"éĴ¢æĿIJ":112122,"åĽ½æľīèµĦ产":112123,"æĪĺæľº":112124,"æ³Ħéľ²":112125,"åIJİéĿ¢çļĦ":112126,"æ°´èµĦæºIJ":112127,"æ¢ħèĬ±":112128,"åĨĻçĿĢ":112129,"ä¹ĭ声":112130,"æĹłåı¯":112131,"æĺİæľĿ":112132,"ç«ĭæĸ¹ç±³":112133,"ç·£":112134,"æĶ¾è¿ĩ":112135,"ç¦ıçĶ°":112136,"å¾Ĺä½ı":112137,"åıĹä¼Ĺ":112138,"ä¸Ń级":112139,"çĹħåıĺ":112140,"ä¸Ģçŀ¬éĹ´":112141,"æĿĥéĩį":112142,"人æĢ§åĮĸ":112143,"åĮ»çĸĹåį«çĶŁ":112144,"ä¸įåĪ°ä½į":112145,"æĻºèĥ½å®¶å±ħ":112146,"饮çĶ¨":112147,"æ¼Ķåıĺ":112148,"é«ĺç´łè´¨":112149,"ä¹Ļæĸ¹":112150,"åģľçķĻåľ¨":112151,"èİ·æī¹":112152,"ç©¿æ¢Ń":112153,"å®¢åľº":112154,"æĮ½åĽŀ":112155,"京åŁİ":112156,"çĶŁåij½åĬĽ":112157,"實éļĽ":112158,"çĩĪ":112159,"åĨįçİ°":112160,"çİ°å®ŀä¸Ń":112161,"æľīä¿¡å¿ĥ":112162,"çĸıéĢļ":112163,"åĺ´åĶĩ":112164,"鼷éĶĭ":112165,"èıľåįķ":112166,"éħ¯":112167,"è¶ħé«ĺ":112168,"å¾Īé«ĺåħ´":112169,"çĶŁæ®ĸ":112170,"éĢłä»·":112171,"误åĮº":112172,"æĨĭ":112173,"好æ¶Īæģ¯":112174,"å´Ń":112175,"以èĩ´":112176,"å¼Ģçİ©ç¬ij":112177,"çĽijè§Ĩ":112178,"å·¡å¯Ł":112179,"å¾·å·ŀ":112180,"æĹ©æĹ©":112181,"éĹªçĶµ":112182,"æĪªåĽ¾":112183,"åı¯ä»¥æł¹æį®":112184,"æīĭèīº":112185,"æݥ轨":112186,"ç§įæĹı":112187,"æĢĢéĩĮ":112188,"åİ»åĮ»éĻ¢":112189,"ä¸ĢäºĮ":112190,"å¼ĢéĺĶ":112191,"åĩıéĢŁ":112192,"ä½Ĩä»İ":112193,"éĢĻä¸Ģ":112194,"åĩıåħį":112195,"主é¢ĺæķĻèĤ²":112196,"å¼Ģ工建设":112197,"蹦":112198,"æľĪ饼":112199,"ä¸ĭæ²ī":112200,"å°Ĭ严":112201,"éĻĩ":112202,"å®ŀæľ¨":112203,"å»łåķĨ":112204,"声称":112205,"èĢĥåľº":112206,"å¸ĥé²ģ":112207,"èĩªæĿ¥":112208,"èĩªæĿ¥æ°´":112209,"éĴ¾":112210,"年以ä¸Ĭ":112211,"大åıĶ":112212,"ä»ĸå·²ç»ı":112213,"åħ¨æĿij":112214,"èģĶç³»çĶµè¯Ŀ":112215,"为导åIJij":112216,"åĪ¤å¤Ħ":112217,"对éĺµ":112218,"缮æ¨Ļ":112219,"åIJįé¢Ŀ":112220,"客æ°Ķ":112221,"横åIJij":112222,"çŃīåĨħ容":112223,"åĩłçĤ¹":112224,"è°Ī论":112225,"ä¸įä¹ı":112226,"å±ķçİ°åĩº":112227,"è¾ĥéķ¿":112228,"éĢĨ转":112229,"å°ıæĻĤ":112230,"æĺ¯å¤ļä¹Ī":112231,"æľ¬æľĪ":112232,"è¿ijè§Ĩ":112233,"æĪIJç«ĭ以æĿ¥":112234,"代表çĿĢ":112235,"æĬ¥å¤į":112236,"æĪıæĽ²":112237,"è¨ŃåĤĻ":112238,"åħ¥èĤ¡":112239,"å¾ģæľį":112240,"é«ĺåĩº":112241,"èĪŀåı°ä¸Ĭ":112242,"å¿ĥåĬ¨":112243,"两çĤ¹":112244,"缸çķ¶":112245,"èĻĽ":112246,"主页":112247,"åĩłå®¶":112248,"æĹłä¸į":112249,"åįıå®ļ":112250,"æĸIJ":112251,"å¯ĵæĦı":112252,"åħ¨çº¿":112253,"æįķé±¼":112254,"åı¯ä»¥ä»İ":112255,"æľīè¿Ļæł·çļĦ":112256,"æģ¶éŃĶ":112257,"åĮħåŃIJ":112258,"æģ¤":112259,"å¼Ģå¥ĸç»ĵæŀľ":112260,"ä¸įæŃ»":112261,"èĹį":112262,"å¼¯æĽ²":112263,"海峡":112264,"éĶĢæ¯ģ":112265,"çļĦçĭ¬çī¹":112266,"示æĦı":112267,"ä¸įèĥ½åĨį":112268,"èĥ½æĬĬ":112269,"éĺ²çº¿":112270,"ä¸įå°ijäºİ":112271,"æ±Ģ":112272,"çļĦéĤ£ä¸Ģ":112273,"羣æĥħ":112274,"åŀ®":112275,"被æīĵ":112276,"åĽ½å®ī":112277,"ç¾İå¦Ļ":112278,"è¿Ļåĩł":112279,"åĩºéģĵ":112280,"æľįåĬ¡äºİ":112281,"æĪIJæŀľè½¬åĮĸ":112282,"æīįåįİ":112283,"天é¹ħ":112284,"åĩłä¸ªäºº":112285,"åĢĺèĭ¥":112286,"èĢ½è¯¯":112287,"æĬĹæĪĺ":112288,"è¡ĮéĬ·":112289,"æĿ¥è¢Ń":112290,"åĢŁéĮ¢":112291,"èįīèİĵ":112292,"ä¸¥æł¼æī§è¡Į":112293,"举è¡ĮäºĨ":112294,"å¤ĸç±į":112295,"已达":112296,"æĿijåħļæĶ¯éĥ¨":112297,"è¡Ŀ":112298,"éĻįèĩ³":112299,"æµ·éĩı":112300,"é¤IJé¦Ĩ":112301,"æĢ¥å¿Ļ":112302,"æ·±è¿ľ":112303,"å¾Ģè¿Ķ":112304,"ç¨İåĬ¡å±Ģ":112305,"å¹¿æ³ĽåºĶçĶ¨":112306,"è®®åijĺ":112307,"æĹłæķĮ":112308,"çľ¼åħī":112309,"çĥŃè¡Ģä¼łå¥ĩ":112310,"æŃIJ":112311,"äºĨäºĽ":112312,"è¿ĿèĥĮ":112313,"è¿Ļæĺ¯ä¸Ģç§į":112314,"ä¸į稳å®ļ":112315,"大家åĪĨ享":112316,"表çı¾":112317,"åīįåįģ":112318,"è·¯è¿ĩ":112319,"æĴ©":112320,"åIJĮæĥħ":112321,"ä¹łä¿Ĺ":112322,"åıijè´¢":112323,"åºĶæľīçļĦ":112324,"æĿİæŁIJ":112325,"èĤĽ":112326,"马åħĭ":112327,"éĢļåijĬ":112328,"巨人":112329,"ä¸ĢåĽ¢":112330,"éĢĻ次":112331,"ä¸įäºĨ解":112332,"æĸ½è¡Į":112333,"èij¡èIJĦçīĻ":112334,"åıĺå¾ĹæĽ´åĬł":112335,"æı£":112336,"åĪĽæĸ°èĥ½åĬĽ":112337,"çķħéĶĢ":112338,"表æī¬":112339,"æ¯ĶåĪ©":112340,"æ¯ĶåĪ©æŶ":112341,"åĮ»çĸĹä¿ĿéĻ©":112342,"æĵį纵":112343,"伤亡":112344,"æµİå®ģ":112345,"åıĺäºĨ":112346,"æľ¬æ¬¡æ´»åĬ¨":112347,"åľŁè±ª":112348,"æĥ³åĬŀæ³ķ":112349,"æĺķ":112350,"å½ĵæĻļ":112351,"åĩºå±Ģ":112352,"çĥŃè®®":112353,"è°Īè°Ī":112354,"æĻĭåįĩ":112355,"åĬ¿å¿ħ":112356,"çĻ»å±±":112357,"éĤ£åĦ¿":112358,"åIJĥåĪ°":112359,"ä¹ĭåŁİ":112360,"å¿«æĿ¥":112361,"æ¹Ľæ±Ł":112362,"第ä¸ī个":112363,"åħ¨éĿ¢æıIJåįĩ":112364,"å¥ĸåѦ":112365,"å¥ĸåѦéĩij":112366,"æĬķåħ¥ä½¿çĶ¨":112367,"é½IJé²ģ":112368,"åı¯ä»¥æĬĬ":112369,"åĴĮä»ĸçļĦ":112370,"è´ŃæĪ¿èĢħ":112371,"æŃ£å¼ıåIJ¯åĬ¨":112372,"åįİ润":112373,"ä¸įæĸŃå®ĮåĸĦ":112374,"éĴ¢æĿ¿":112375,"累积":112376,"满èĦ¸":112377,"åĽĽæĸ¹":112378,"è´¢çī©":112379,"ä»ĸ们ä¼ļ":112380,"å¤ıæĹ¥":112381,"éĤ£ä¸ªäºº":112382,"éĿłçĿĢ":112383,"çĤ¹äºĨ":112384,"çĤ¹äºĨçĤ¹å¤´":112385,"æ©ĭ":112386,"åıĪ好":112387,"åıĪ好åıĪ":112388,"åıĪ好åıĪå¿«":112389,"éĺµéĺµ":112390,"å°ģ建":112391,"æľ¬çĶ°":112392,"çī©ä¸ļæľįåĬ¡":112393,"èĩªè´¸åĮº":112394,"åIJı":112395,"便åĪ©åºĹ":112396,"åĽ½å®¶æłĩåĩĨ":112397,"éĿ¢ç²ī":112398,"èī°è¾Ľ":112399,"æĶ»åħ³":112400,"æīĵåĮħ":112401,"车éĺŁ":112402,"人éĢī":112403,"åı¯ä¸įæĺ¯":112404,"äºĮåįģå¹´":112405,"åIJįå¸Ī":112406,"æµ¦ä¸ľ":112407,"åħ¬è¯ģ":112408,"è¿IJéĢģ":112409,"æĺ¯æľĢ好çļĦ":112410,"æŁĶåĴĮ":112411,"çİĭæŁIJ":112412,"çĹħæĪ¿":112413,"åĨ¶éĩij":112414,"ä¸Ģ件äºĭæĥħ":112415,"åį¤":112416,"åı¯æݧ":112417,"çīŁ":112418,"æĭĤ":112419,"å·²äºİ":112420,"人éĢł":112421,"çĶŁçī©åĮ»èį¯":112422,"ä½ĵçİ°åĩº":112423,"èĤ²åĦ¿":112424,"èĢģå®ŀ":112425,"åľĸçīĩ":112426,"諸":112427,"ç´¯äºĨ":112428,"æĦŁåħ´è¶£çļĦ":112429,"åĽ¾çīĩæĿ¥æºIJ":112430,"ä¹Łæĺ¯ä¸Ģç§į":112431,"æ¾İæ¹ĥæĸ°éĹ»":112432,"æĹ¶è¡¨ç¤º":112433,"åħīè¾ī":112434,"æĬ¥åºŁ":112435,"å²ģæŶ":112436,"éħ®":112437,"æ£Ģä¿®":112438,"åıĺéĢŁ":112439,"åıĺéĢŁç®±":112440,"åľ¨èģĮ":112441,"éı¡":112442,"æįĤ":112443,"çĿ£åĬŀ":112444,"æ°¸ä¸į":112445,"åģļä¸ĢäºĽ":112446,"åİĨæŶ":112447,"å·¥ç¨ĭæľºæ¢°":112448,"æģ°å½ĵ":112449,"å°±åľ¨äºİ":112450,"称åij¼":112451,"éĢļ常æĺ¯":112452,"æł·å¼ı":112453,"åij¨ä¸Ģ":112454,"èĭ±éķij":112455,"åĿĩ线":112456,"ä¼łéĹ»":112457,"çĶ¨æĪ·ä½ĵéªĮ":112458,"èµŀåIJĮ":112459,"骨æĬĺ":112460,"为主ä½ĵ":112461,"æ±Łå±±":112462,"æ¸ħæľĿ":112463,"æĶĢåįĩ":112464,"ä¸įçĽ¸ä¿¡":112465,"éĿ´":112466,"æѦåĬŁ":112467,"åĭ¤åĬ³":112468,"æĿ¥æī¾":112469,"å°ĨæĮģç»Ń":112470,"丫头":112471,"æ¨Ļæºĸ":112472,"裴":112473,"深深çļĦ":112474,"åŃķèĤ²":112475,"è§ĦåĪĴ建设":112476,"æ¸ħçĪ½":112477,"ç²¾åĩĨæī¶è´«":112478,"æīĵçł´äºĨ":112479,"è¿Ļä¸Ģ天":112480,"å·¥ä½ľæĢ»ç»ĵ":112481,"æĹħç¨ĭ":112482,"举èIJ¥":112483,"æĶ¾å°Ħ":112484,"æľīåĩłä¸ª":112485,"éĿŀçī©è´¨":112486,"åIJĥå¾Ĺ":112487,"åŨ":112488,"ä¼ļåıijçĶŁ":112489,"篮æĿ¿":112490,"å¼Ģå°ģ":112491,"麻å°Ĩ":112492,"èııæ³½":112493,"ä¸įåIJĪ":112494,"ç³»åĪĹ产åĵģ":112495,"èѬå¦Ĥ":112496,"ç¾İèªī":112497,"èĩªå·±åĸľæ¬¢":112498,"交æĺĵä¸Ńå¿ĥ":112499,"åIJĪåĶ±":112500,"使æĪij":112501,"åĥıç´ł":112502,"带éĺŁ":112503,"ä½Ĩ对äºİ":112504,"æĬĬè¿Ļ个":112505,"èĤĿèĦı":112506,"åįķ纯çļĦ":112507,"æĶ»åĿļæĪĺ":112508,"缼ä¼ļ":112509,"åijµæĬ¤":112510,"æªĢ":112511,"赶ä¸Ĭ":112512,"æ¥Ĭ":112513,"ä¹ħäºĨ":112514,"ç¡Ŀ":112515,"çŃĶé¢ĺ":112516,"ä¿ĿæĮģçĿĢ":112517,"è§ģè¯Ĩ":112518,"çĤ¹åĦ¿":112519,"åįĬ个æľĪ":112520,"æ»ĩ":112521,"浸泡":112522,"ä¼łéĢģ":112523,"åľ¨å¸Ĥåľºä¸Ĭ":112524,"ä¹ĭ乡":112525,"çī¹éķ¿":112526,"éĽŀ":112527,"èªł":112528,"身å¤Ħ":112529,"æŁłæª¬":112530,"身穿":112531,"çľģåħ¬å®ī":112532,"çľģåħ¬å®īåİħ":112533,"åıĻåĪ©äºļ":112534,"åĩłåĪĨéĴŁ":112535,"人åĢij":112536,"åľ°æ®µ":112537,"èĩªåѦ":112538,"ä¹Łè¶ĬæĿ¥è¶Ĭ":112539,"èģĮæĿĥ":112540,"æĸ§":112541,"èĩ»":112542,"å½Ĵ纳":112543,"驾é©Ń":112544,"éĥ¨åĪĨåľ°åĮº":112545,"没æľīæĥ³åĪ°":112546,"æĴĩ":112547,"ä¹Įé²ģ":112548,"ä¹Įé²ģæľ¨":112549,"ä¹Įé²ģæľ¨é½IJ":112550,"èĤ²äºº":112551,"çļĦæŃ¥ä¼IJ":112552,"å»¶æľŁ":112553,"æ²¹æ°Ķ":112554,"åģļå®Į":112555,"åľ£åľ°":112556,"丰åİļ":112557,"宽带":112558,"åı¯éĿłçļĦ":112559,"åºŃéĻ¢":112560,"åŃľ":112561,"å°ı康社ä¼ļ":112562,"å®īåħ¨ç®¡çIJĨ":112563,"年第":112564,"æİĴ污":112565,"èĥĮåĮħ":112566,"家ä½ı":112567,"åħ¶å®ŀå°±æĺ¯":112568,"ä¼ļè§ģ":112569,"帮åĬ©ä¼ģä¸ļ":112570,"ç½ijè´Ń":112571,"æĺ¯ä¸įä¼ļ":112572,"飯åºĹ":112573,"æŃ»åİ»":112574,"åħįçĸ«åĬĽ":112575,"æľķ":112576,"åĸĿäºĨ":112577,"轻微":112578,"个æľĪåĨħ":112579,"ç»ĦåĽ¢":112580,"åĴĮå®ĮåĸĦ":112581,"鸽":112582,"æıIJéĢŁ":112583,"西å®īå¸Ĥ":112584,"ä¸Ńå¿ĥ主任":112585,"æŶéĹ´ä¸º":112586,"æľŁæĿĥ":112587,"è¶ķ":112588,"ä¸įä»ħè¦ģ":112589,"æľįä»İ":112590,"é¡ĺæĦı":112591,"ä¸įå°ı":112592,"ä¸įå°ıçļĦ":112593,"ç°ĩ":112594,"窦":112595,"åĪĩæĪIJ":112596,"åĵĪåĪ©":112597,"å¤©çľŁ":112598,"ä¸Ģ次次":112599,"éĩijå¸ģ":112600,"æĢİä¹Īèĥ½":112601,"ç½ijè´·":112602,"ä¼ļ计å¸Ī":112603,"çŁŃ缺":112604,"对æłĩ":112605,"åıĺå¾ĹæĽ´":112606,"åīįåĩłå¤©":112607,"éĺ²æ±Ľ":112608,"彩èĻ¹":112609,"åĵģä½į":112610,"è¡¨æł¼":112611,"严å¯Ĩ":112612,"æ¯ĽåĪ©çİĩ":112613,"çļĦåį±å®³":112614,"å½ķåĪ¶":112615,"æ°´åĬ¡":112616,"èĥ½å¤Łè®©":112617,"å¹³æĿ¿":112618,"ä¹³æĪ¿":112619,"è¸ıå®ŀ":112620,"é¦ĸåĪĽ":112621,"é¦Ļèķī":112622,"æĬ¥è¡¨":112623,"ä¸ĢæĬ¹":112624,"åĩºçĶŁäºİ":112625,"è²»çĶ¨":112626,"åĩºè®©":112627,"åIJĪæ³ķæĢ§":112628,"å°¼åħĭ":112629,"åĨ°åĨ·":112630,"é¦Ļæ°Ķ":112631,"åı·ç§°":112632,"èµ·çłģ":112633,"åŁİåİ¿":112634,"çİ©èĢį":112635,"ä¸ĬéĻIJ":112636,"ä¼ļ议精ç¥ŀ":112637,"æĹģè¾¹çļĦ":112638,"便ä¼ļ":112639,"æıŃæĻĵ":112640,"çİ©æĦı":112641,"éĽªå±±":112642,"åIJijçĿĢ":112643,"ä½ĵèĤ²åľ¨çº¿":112644,"说æĺİ书":112645,"åĮĸèĤ¥":112646,"åħļç»Ħ书记":112647,"åĬ¨äºº":112648,"ä¹ĭæīĢ":112649,"æľĪèĩ³":112650,"æľĢå¿«çļĦ":112651,"èĬĤåģĩæĹ¥":112652,"ä¸ĵåľº":112653,"èĢĥä¸Ĭ":112654,"çªŁ":112655,"é²ľè¡Ģ":112656,"è¾ĥ强çļĦ":112657,"æĤĦçĦ¶":112658,"å¤ļä¸ªåĽ½å®¶":112659,"çªĹå¸ĺ":112660,"æŀģå¤§åľ°":112661,"ä¸įçĶ¨æĭħå¿ĥ":112662,"è¿Ļä¹Īåģļ":112663,"åĥ¹æł¼":112664,"ç¾İ丽乡æĿij":112665,"å°ıæŶåĨħ":112666,"紧迫":112667,"大çģ«":112668,"èĥ³èĨĬ":112669,"æĵįä½ľç³»ç»Ł":112670,"æ®ĭçķĻ":112671,"åĨĻåĩº":112672,"ç¦ģå¿Į":112673,"åĬłçĽŁåºĹ":112674,"è¿ijçĻ¾":112675,"便åı¯":112676,"æķ´æĶ¹æݪæĸ½":112677,"éĩĩ访æŶ":112678,"åĶIJ代":112679,"æ·±åĮĸæĶ¹éĿ©":112680,"çŁ¢":112681,"éĥ½åĸľæ¬¢":112682,"è¶ĬæĿ¥è¶Ĭé«ĺ":112683,"èĬ±æľµ":112684,"头çĸ¼":112685,"å®ī康":112686,"å¢ŀéķ¿çİĩ":112687,"çľ¼çľĭ":112688,"å°±æĺ¯ä¸ºäºĨ":112689,"èĢĮ导èĩ´":112690,"åĬłå¿«å»ºè®¾":112691,"èĬ±æł·":112692,"åĨħå¿ĥçļĦ":112693,"æĺĨå±±":112694,"è³ĩæºIJ":112695,"åĽŀåĪ°å®¶":112696,"èıĬèĬ±":112697,"æ°´éĩı":112698,"å¾ģä¿¡":112699,"è¡ĮæĶ¿åĮº":112700,"ä¹ĥæĺ¯":112701,"æĬķèµĦé¡¹çĽ®":112702,"å«ģç»Ļ":112703,"ç¥ŀåľ£":112704,"稳":112705,"æľ¬æĿ¥å°±":112706,"éĢIJä¸Ģ":112707,"èģĮä¸ļæĬĢæľ¯":112708,"ä¸įèī¯ä¿¡æģ¯":112709,"æīĺè¿IJ":112710,"åIJ¯ç¤º":112711,"ä¹ĭåħ§å®¹":112712,"飶":112713,"奢åįİ":112714,"æıŃ示":112715,"æĪIJ为ä¸ŃåĽ½":112716,"æ¶Īè´¹åĵģ":112717,"åħ¬çĶ¨":112718,"æIJŀå®ļ":112719,"è¯·ä½ł":112720,"æŁļ":112721,"åĨħè¡£":112722,"ä½Ĩä»ĸ们":112723,"ä¿Ŀ湿":112724,"该åİ¿":112725,"饱åĴĮ":112726,"æݨåIJij":112727,"èµĦæĸĻæĺ¾ç¤º":112728,"ä¸įå½±åĵį":112729,"人人éĥ½":112730,"åıijå±ķ壮大":112731,"åħ»èĢģæľįåĬ¡":112732,"çĶŁæ´»æ°´å¹³":112733,"åIJĦåİ¿":112734,"ä½łéľĢè¦ģ":112735,"说çļĦæĺ¯":112736,"å¤ĸåªĴ":112737,"æŃ¤äºº":112738,"次è¦ģ":112739,"追赶":112740,"åºĶ该å¦Ĥä½ķ":112741,"æĹ¥åĩĮæĻ¨":112742,"çķ¥æľī":112743,"éĥ½æĥ³":112744,"游ä¹IJ":112745,"è¿Ļ款游æĪı":112746,"平淡":112747,"æĺ¯ä¸ĢåĢĭ":112748,"å¤ĩèĢĥ":112749,"åĪ¶æŃ¢":112750,"ä¸Ģå®ļèĥ½":112751,"å¾Ĵå¼Ł":112752,"以çĤº":112753,"åįĥåħĥ":112754,"äºĶåħŃ":112755,"迪士":112756,"迪士尼":112757,"éĺ³æĢ§":112758,"åĨ¬å¥¥ä¼ļ":112759,"å°±æĺ¯åĽłä¸º":112760,"æĮĤéĴ©":112761,"æ¦ĤåĨµ":112762,"åıªè¦ģæľī":112763,"æ²¹çĶ»":112764,"åľ°æłĩ":112765,"ä¸Ĭè°ĥ":112766,"产ä¸ļåĽŃåĮº":112767,"åħ«åįģ":112768,"棱":112769,"液æĻ¶":112770,"æĿijå§Ķä¼ļ":112771,"çŃ¾çº¦ä»ªå¼ı":112772,"è¿Ļåħ¶ä¸Ń":112773,"åĨĻéģĵ":112774,"示èĮĥåŁºåľ°":112775,"éĩİçĶŁåĬ¨çī©":112776,"鼻åŃIJä¿¡ç®±":112777,"åĽ½éĻħè´¸æĺĵ":112778,"人æĿĥ":112779,"ä¿Ŀ管":112780,"èĭ¥æĤ¨":112781,"åİĭæĬij":112782,"黼":112783,"åľ°çľĭçĿĢ":112784,"éĻ°":112785,"ä¸Ģå¹´å¤ļ":112786,"ä»İ容":112787,"ä¸ŃæĸŃ":112788,"å¯Łè§ī":112789,"移交":112790,"éĶ¯":112791,"æĪĸ许æĺ¯":112792,"綳":112793,"两项":112794,"æľĢåĸľæ¬¢":112795,"æľĢåĸľæ¬¢çļĦ":112796,"å¤ľéĩĮ":112797,"åIJĮä»ģ":112798,"åĪĽæĸ°é©±åĬ¨":112799,"è°ģèĥ½":112800,"飾":112801,"åħīåѦ":112802,"åİĦ":112803,"èĦ±é¢ĸ":112804,"èĦ±é¢ĸèĢĮåĩº":112805,"迦":112806,"æĺ¯ä¸įåı¯èĥ½":112807,"窥":112808,"èĥ½æ»¡è¶³":112809,"宽度":112810,"伦çIJĨ":112811,"åı¯ä»¥èİ·å¾Ĺ":112812,"转ä¼ļ":112813,"å±±æĿij":112814,"éĵºè®¾":112815,"åĩºåĩ»":112816,"æĸĩåĮĸèīºæľ¯":112817,"ä¼ļ议室":112818,"æŃĮ声":112819,"æ»Ķ":112820,"èIJİ缩":112821,"æľįåĬ¡åijĺ":112822,"åıij表äºĨ":112823,"æĸ¼æĺ¯":112824,"æĺİç¡®è§Ħå®ļ":112825,"ç»´å¥ĩ":112826,"水产":112827,"æĬķä¿Ŀ":112828,"éĺ´éģĵ":112829,"赶快":112830,"夺å¾Ĺ":112831,"ä¸ĭåįķ":112832,"çī©æµģåħ¬åı¸":112833,"çݯç»ķ":112834,"å½Ī":112835,"ä½ľé£İ建设":112836,"æĹħ游æĻ¯åĮº":112837,"æľīæĽ´å¤ļçļĦ":112838,"丰å¯Įå¤ļ彩":112839,"çIJĨ财产åĵģ":112840,"åĩºå·®":112841,"ä»İ严治":112842,"ä»İ严治åħļ":112843,"çĽ¸å¹²":112844,"æ»ĭ润":112845,"主åĬŀæĸ¹":112846,"åī§åľº":112847,"æ»ļçIJĥ":112848,"æ©Ħæ¦Ħ":112849,"èĩªä¸»åĪĽæĸ°":112850,"éĢļå¾Ģ":112851,"æł¼å°Ķ":112852,"çļĦä¼ĺçĤ¹":112853,"èĥĮä¸Ĭ":112854,"çªľ":112855,"çĪĨåĩº":112856,"å¹³æķ´":112857,"ä¸ĢèĦļ":112858,"åħ¨ä½ĵåijĺå·¥":112859,"éĻIJå®ļ":112860,"åŁİéķĩåĮĸ":112861,"æ·³":112862,"éĢ®æįķ":112863,"è¡ĮåĬ¨è®¡åĪĴ":112864,"æīĵå¾Ĺ":112865,"åİļéĩį":112866,"纪å½ķçīĩ":112867,"åĿļä¿¡":112868,"央ä¼ģ":112869,"åĨįä¹Łä¸į":112870,"天涯":112871,"åıĤèĢĥèµĦæĸĻ":112872,"æľīæ¯Ĵ":112873,"åIJ¸çº³":112874,"è¶Ĭåıij":112875,"éĩįè¦ģæĦıä¹ī":112876,"åĽ½éĺ²éĥ¨":112877,"è¿Ļ个è¡Įä¸ļ":112878,"æĻ®æŁ¥":112879,"å¼ĤæĢ§":112880,"å»¶è¿Ł":112881,"å°ıå¹ħ":112882,"èī²æĥħ":112883,"综åIJĪæ²»çIJĨ":112884,"æŃ£æĺ¯åĽłä¸º":112885,"产ä¸ļç»ĵæŀĦ":112886,"çłĶ究æĬ¥åijĬ":112887,"åģľä¸ĭ":112888,"éķ¿èĢģ":112889,"éĩĿå°į":112890,"åįĹ京å¸Ĥ":112891,"çģĮæºī":112892,"转è¿IJ":112893,"欺è¯Ī":112894,"éĢłåģĩ":112895,"åĪĨå¸ĥå¼ı":112896,"æĦŁè§¦":112897,"æĪijå½ĵæŶ":112898,"åıijè§ī":112899,"åĽ¾çº¸":112900,"æĶ¹èī¯":112901,"çĭłçĭł":112902,"åĨ²åĪº":112903,"æĸ°äº¬":112904,"æĸ°äº¬æĬ¥":112905,"ç¥ŀåĻ¨":112906,"秸ç§Ĩ":112907,"çĪº":112908,"å°Ĩè¿İæĿ¥":112909,"工信":112910,"工信éĥ¨":112911,"éĻIJéĩı":112912,"æŃ¢æįŁ":112913,"åѦä¼ļäºĨ":112914,"åįİ缼":112915,"åįİçĽĽé¡¿":112916,"å¾Įä¾Ĩ":112917,"ä¸ĭéĿ¢æĺ¯":112918,"ä¸ĭéĿ¢æĺ¯å°ı":112919,"æIJ¬è¿IJ":112920,"ç¾İæľ¯é¦Ĩ":112921,"æ¸ħåĩī":112922,"å¤ļå¹´åīį":112923,"è©ŀ":112924,"åįĥç±³":112925,"表述":112926,"æ±ŁéŨ":112927,"åĬłæ²¹ç«Ļ":112928,"æľ¬èĥ½":112929,"导读":112930,"åĽ´è§Ĥ":112931,"并åIJij":112932,"åŁºæľ¬æĥħåĨµ":112933,"æīĵå¼ĢäºĨ":112934,"è¿Ļä¸ī个":112935,"æ±ķ头":112936,"强æľīåĬĽ":112937,"强æľīåĬĽçļĦ":112938,"è¿Ľåľº":112939,"ä¹Ŀæ±Ł":112940,"çIJĥæĺŁ":112941,"好çľĭçļĦ":112942,"大æĪ·":112943,"湯":112944,"å¥ĩå¦Ļ":112945,"ä¹IJåĻ¨":112946,"æĪijçļĦå¿ĥ":112947,"çľī头":112948,"åĨľä¸ļçĶŁäº§":112949,"ç¼ĸçłģ":112950,"åŁºç¤":112951,"åŁºç¤İ":112952,"天æĸĩ":112953,"åĢĭ人è³ĩè¨Ĭ":112954,"åİ»è¿ĩ":112955,"èģĨåIJ¬":112956,"æĶ¾åģĩ":112957,"ä¸įåħ·å¤ĩ":112958,"æ·Ģç²ī":112959,"大佬":112960,"åħ¨å¤©":112961,"åħ¨éĿ¢å»ºæĪIJ":112962,"éļIJå½¢":112963,"ç¼ħçĶ¸":112964,"åIJ³":112965,"è¡ĮæĶ¿æī§æ³ķ":112966,"åŁİåł¡":112967,"èİ«æĸ¯":112968,"èİ«æĸ¯ç§ij":112969,"æīĢæľīæĿĥ":112970,"éĽĨåľĺ":112971,"å±Ģåī¯å±Ģéķ¿":112972,"åĩłä¹İ没æľī":112973,"æ´ģåĩĢ":112974,"çĶµå½±èĬĤ":112975,"åŃ©ç«¥":112976,"æīĢåģļçļĦ":112977,"æ¸ħ代":112978,"æĸ°çīĪ":112979,"éĵĿåIJĪéĩij":112980,"为æĬĵ":112981,"为æĬĵæīĭ":112982,"åĪ¤å®ļ":112983,"çī¹äº§":112984,"æīĭæ©Ł":112985,"ä¸įåı¯æĪĸ":112986,"ä¸įåı¯æĪĸ缺":112987,"å¸Ĥåľºè§Ħ模":112988,"åĿ¯":112989,"åĮ»åѦéĻ¢":112990,"å¿«è¦ģ":112991,"èĮľ":112992,"æĬĺèħ¾":112993,"äºĨè¿ĩæĿ¥":112994,"æĬ¥åijĬæľŁåĨħ":112995,"çī©ç§į":112996,"ç»Łè®¡å±Ģ":112997,"æī©å»º":112998,"æ¶ħ":112999,"责任人":113000,"éĺİ":113001,"è¯Ħè®®":113002,"å¾Ģäºĭ":113003,"æīĢ示":113004,"æķ´æ´ģ":113005,"éĹºèľľ":113006,"æĹħéĢĶ":113007,"å®ŀè®Ń":113008,"ä¹ĭ称":113009,"巴士":113010,"éĢŁåº¦å¿«":113011,"ä¸įä»ħå¦ĤæѤ":113012,"å®Ŀè´µçļĦ":113013,"åºŁçī©":113014,"河水":113015,"æݥ纳":113016,"ç²¾æ¹Ľ":113017,"åħ¶æ¬¡æĺ¯":113018,"顺德":113019,"åħ¬åħ±åį«çĶŁ":113020,"è¤IJèī²":113021,"ä¸įæĥľ":113022,"æĬĢæľ¯æľįåĬ¡":113023,"æİ·":113024,"æ±ĤèģĮ":113025,"ä¸ī峡":113026,"æĬķåħ¥åĪ°":113027,"太åIJİ":113028,"åIJ¯åĬ¨ä»ªå¼ı":113029,"缴æݥ影åĵį":113030,"æĸ°æ¬¾":113031,"个乡éķĩ":113032,"çĻ¾äº¿":113033,"庫":113034,"ä¹ŁæŃ£æĺ¯":113035,"åı¶çīĩ":113036,"æľĢæĹ©çļĦ":113037,"æĪĺ绩":113038,"å·¥æľŁ":113039,"æĻļæľŁ":113040,"è¿Ļæł·è¯´":113041,"è¯įè¯Ń":113042,"ä¾Ħ":113043,"æķ£çĥŃ":113044,"éĽĨæĪIJçĶµè·¯":113045,"åIJįè¯į":113046,"æĻºåķĨ":113047,"æĭ¥åłµ":113048,"çĭĤ欢":113049,"è¿ĻèĪ¬":113050,"浴室":113051,"åijķåIJIJ":113052,"æľªæĿ¥åıijå±ķ":113053,"ä¸īä½įä¸Ģä½ĵ":113054,"åªĴé«Ķ":113055,"ä¸įå¾Ĺ转载":113056,"åĽłä¸ºå¥¹":113057,"æĺ¾ç¤ºå±ı":113058,"ä¾Ľæļĸ":113059,"éĨ«éĻ¢":113060,"æľīæĦıæĢĿ":113061,"æľīæĦıæĢĿçļĦ":113062,"娱ä¹IJåŁİ":113063,"åįµå·¢":113064,"åĪĽéĢłåĬĽ":113065,"ç«łèĬĤ":113066,"人大常å§Ķ":113067,"èĢĮçİ°åľ¨":113068,"å¤ĸå©Ĩ":113069,"å¢ŀæĮģ":113070,"äºĶåįĥ":113071,"èĢģå¸Ī们":113072,"æ´ĽæĿī":113073,"æ´ĽæĿī磶":113074,"æİĮæı¡äºĨ":113075,"ä¸ŃåĽ½æĸĩåĮĸ":113076,"æĸ°æĶ¿":113077,"主è¦ģçĶ¨äºİ":113078,"åıijçĥ§":113079,"类似äºİ":113080,"åĮĹæŀģ":113081,"æĪij们认为":113082,"弥漫":113083,"åħ¨çIJĥç»ıæµİ":113084,"é¢IJ":113085,"ä¸Ģèµ·è£ħä¿®":113086,"æĶĴ":113087,"æĭīèIJ¨":113088,"帶ä¾Ĩ":113089,"åĨ·æ°´":113090,"ä¸īåĨľ":113091,"æĿ¿æĿIJ":113092,"è¿ŀè¿ŀ":113093,"éĵ®":113094,"ç»ıèIJ¥çIJĨ念":113095,"山顶":113096,"å¾Īæĥ³":113097,"çĺ«":113098,"å§ĭç»Īä¿ĿæĮģ":113099,"åľ¨å¹¿å·ŀ":113100,"ä¸įåIJĮæĦı":113101,"åıĺåİĭ":113102,"åıĺåİĭåĻ¨":113103,"产éĶĢ":113104,"表éĿ¢ä¸Ĭ":113105,"æīĢ以ä»ĸ":113106,"ç»ıéªĮ丰å¯Į":113107,"éĥ¨å§Ķ":113108,"åħµåĽ¢":113109,"æīĢè¿°":113110,"æķ¦çħĮ":113111,"ç»ıèIJ¥èĮĥåĽ´":113112,"åı£è¯Ń":113113,"失信":113114,"æ¯ı个人çļĦ":113115,"æīĭæĮģ":113116,"æģIJæħĮ":113117,"åł¡åŀĴ":113118,"é¦ħ":113119,"éĵ¸éĢł":113120,"æĭ¿åĩºæĿ¥":113121,"æİ¢æµĭ":113122,"大家ä¸Ģèµ·":113123,"奧":113124,"å®ŀè´¨æĢ§":113125,"å°ıåĦ¿":113126,"èĩºåįĹ":113127,"èĩºåįĹå¸Ĥ":113128,"å¼ĢåıijèĢħ":113129,"åı¯æł¹æį®":113130,"ç®±åŃIJ":113131,"饺åŃIJ":113132,"å¿ĻçĿĢ":113133,"æĿ¥ä¸įåıĬ":113134,"çĽ¸ä¼ł":113135,"åĽ½ç½ij":113136,"èħ¹æ³»":113137,"è¿ĻéĩĮæľī":113138,"é£İæĻ¯åĮº":113139,"åıĤä¿Ŀ":113140,"æŃ»èĢħ":113141,"æĪ´ä¸Ĭ":113142,"æ©Łæ§ĭ":113143,"è¯ķéªĮåĮº":113144,"ä¼łæİĪ":113145,"æµ·è¾¹":113146,"泪水":113147,"缸åħ³åĨħ容":113148,"éĥijå·ŀå¸Ĥ":113149,"åħijçİ°":113150,"两åij¨":113151,"èĬľæ¹ĸ":113152,"çĶµåŃIJä¿¡æģ¯":113153,"红å¤ĸ":113154,"æĹħ游å±Ģ":113155,"å¾Ģå¾Ģä¼ļ":113156,"è¿ħçĮĽ":113157,"ä¼łçľŁ":113158,"æ¸ħæ¾Ī":113159,"å°±è¿ij":113160,"微信群":113161,"ç³»åĪĹæ´»åĬ¨":113162,"ç»ı常ä¼ļ":113163,"è§Ĥæµĭ":113164,"å¿ĥå¾Ĺä½ĵä¼ļ":113165,"éĻĪåĪĹ":113166,"åĮĹæĸĹ":113167,"è«®":113168,"諮詢":113169,"è¿ĺæĺ¯ä¼ļ":113170,"æµĭç®Ĺ":113171,"æĺŁç©º":113172,"宽容":113173,"çī©ä¸ļåħ¬åı¸":113174,"æĪĴæĮĩ":113175,"å¸ħæ°Ķ":113176,"ä¸ĢæŃ¥æŃ¥":113177,"åħ±é¸£":113178,"åĨ³ä¸į":113179,"æݥ管":113180,"å¦ĩèģĶ":113181,"æ¯Ķåĸ»":113182,"é²ģè¿ħ":113183,"æĮģçºĮ":113184,"çĽ¸äº²":113185,"å¨ģå°¼æĸ¯äºº":113186,"ç«ĭ项":113187,"åĪĿå§ĭ":113188,"èĩªåĪ¶":113189,"è¿Īè¿Ľ":113190,"ä¸Ĭæ±½":113191,"å®ıä¼Ł":113192,"æł¹æľ¬æ²¡æľī":113193,"æĸ°åĨłçĹħæ¯Ĵ":113194,"åĵªç§į":113195,"康åħ»":113196,"è¡°èĢģ":113197,"å½ķåĥı":113198,"é«Ķé©Ĺ":113199,"ç»ijå®ļ":113200,"é¢Ŀ头":113201,"äºĶæľĪ":113202,"èĬ±å¼Ģ":113203,"ä¸Ģ线åŁİå¸Ĥ":113204,"åĪ°åľº":113205,"æĬķéĻį":113206,"çĹĺçĹĺ":113207,"åıĹä¸įäºĨ":113208,"æīİæł¹":113209,"æĽ´ä½ķåĨµ":113210,"æĬ½æŁ¥":113211,"åĩºè·¯":113212,"审议éĢļè¿ĩ":113213,"ä¸įåĥħ":113214,"èī²è°ĥ":113215,"çĻ¾ä½Ļ":113216,"èĤłéģĵ":113217,"æ·±åİļçļĦ":113218,"马åĬĽ":113219,"æĹ©æĻļ":113220,"æŃĮèĪŀ":113221,"éĺ²æĻĴ":113222,"æľĢåIJİä¸Ģ个":113223,"樱èĬ±":113224,"å°ıä¼ĻåŃIJ":113225,"åľ¨å½ĵåľ°":113226,"å°ıä¼Ļ伴们":113227,"èµ·æºIJ":113228,"åħ¨åªĴä½ĵ":113229,"ç°½":113230,"éħ±æ²¹":113231,"æĹłè®ºå¦Ĥä½ķ":113232,"裤åŃIJ":113233,"åģľäº§":113234,"ä¸įçĶ±å¾Ĺ":113235,"çīµå¼ķ":113236,"ä¼łåĬ¨":113237,"ä¹Ŀé¾Ļ":113238,"åĬłåĽº":113239,"ä¹Łä¸įæķ¢":113240,"æĬĢæľ¯æĶ¯æĮģ":113241,"ä¸Ĭå²Ĺ":113242,"ç»ıéªĮåĴĮ":113243,"æł¼æŀĹ":113244,"åIJ¸éĻĦ":113245,"æľªæĪIJå¹´":113246,"奢ä¾Īåĵģ":113247,"追æį§":113248,"好ä¸į容æĺĵ":113249,"èķ´åIJ«":113250,"ä¿Ŀå®ļ":113251,"æĬ¥ä¸ļ":113252,"æµ·åĨħå¤ĸ":113253,"ä½łçİ°åľ¨":113254,"æ²¹èĢĹ":113255,"è´¨éĩı管çIJĨ":113256,"æ½ľæ°´":113257,"ä¸½æ±Ł":113258,"转åħ¥":113259,"è¿Ļä¹Īä¹ħ":113260,"æĺİ代":113261,"责任åĪ¶":113262,"éĩįå·¥":113263,"大巴":113264,"触åıĬ":113265,"èµ·åĪĿ":113266,"大å¦Ī":113267,"æĸ¯å¡Ķ":113268,"åĨĽå·¥":113269,"书éĻ¢":113270,"峨":113271,"æݨçIJĨ":113272,"è¿Ļç¯ĩæĸĩç«ł":113273,"è¿ģ移":113274,"åľ¨åIJĮä¸Ģ":113275,"ç»Ĩç»Ĩ":113276,"åīĬå¼±":113277,"书æĪ¿":113278,"ç¶ĵ常":113279,"è¯ķé¢ĺ":113280,"æĤ£ä¸Ĭ":113281,"çĻ«çĹ«çĹħ":113282,"åĨ²æ´Ĺ":113283,"å¤ĸæı´":113284,"åħĭåĪ¶":113285,"åįģæľĪ":113286,"åģļä¸įåĪ°":113287,"ç¾İåĮĸ":113288,"å¦ĤæľŁ":113289,"è¿ĺéľĢ":113290,"å¤©åºľ":113291,"å°±æĦıåij³çĿĢ":113292,"çļĦç¡®æĺ¯":113293,"éªĹå±Ģ":113294,"å°ıç»ĦèµĽ":113295,"è©©":113296,"ä¹Ŀå¹´":113297,"æĻĵå¾Ĺ":113298,"çłĶ究人åijĺ":113299,"大éħĴåºĹ":113300,"ç§ijåѸ":113301,"åħŃåIJĪ":113302,"çķĮå®ļ":113303,"车载":113304,"å¼ĢçĿĢ":113305,"毫æĹłçĸij":113306,"毫æĹłçĸijéĹ®":113307,"è¿IJç»´":113308,"ç¦ģåĮº":113309,"èĦ±èIJ½":113310,"讲å¸Ī":113311,"产ä¸ļåŁºåľ°":113312,"é«ĺæĢ§èĥ½":113313,"åħī彩":113314,"çİ°éĺ¶æ®µ":113315,"åĩ¿":113316,"è¾ĥå·®":113317,"饮çĶ¨æ°´":113318,"éĸĭçĻ¼":113319,"ç½ijåIJ§":113320,"çĮ´åŃIJ":113321,"æѦæŀĹ":113322,"å®īåİ¿":113323,"ä¸įåı¯æĢĿ":113324,"ä¸įåı¯æĢĿè®®":113325,"éĬ·åĶ®":113326,"è´«ç©·":113327,"为åķ¥":113328,"éºĵ":113329,"å¹¾åĢĭ":113330,"è§Ħ模以ä¸Ĭ":113331,"æıļ":113332,"è¢«åĽ°":113333,"缺å¸Ń":113334,"å¿«é¤IJ":113335,"æĬ¢åįł":113336,"æĻŁ":113337,"å¤įæ´»":113338,"æľ¬æĬ¥è®¯":113339,"åĪĽä¸ĭ":113340,"海滩":113341,"éĩı产":113342,"å¦Ĥä½ķåİ»":113343,"车ä½į":113344,"å¯ĩ":113345,"äºĮåįģåĽĽ":113346,"ç»ıæµİæįŁå¤±":113347,"éħįå¥Ĺ设æĸ½":113348,"åŁºæľ¬éĿ¢":113349,"äºī论":113350,"就好åĥı":113351,"çłĶ究æĪIJæŀľ":113352,"éĻĪè¿°":113353,"æīĵåĬ¨":113354,"ä¸ĭå·´":113355,"ç§ĴéĴŁ":113356,"对人ä½ĵ":113357,"æĬĢæľ¯çłĶåıij":113358,"åİŁåŃIJ":113359,"æĺ¯ä¸Ģ项":113360,"äºĨä¸Ģ份":113361,"æĮĩçĶ²":113362,"çĶ¨éĩı":113363,"è¿ĺä¸įå¤Ł":113364,"æĶ¿åºľéĩĩè´Ń":113365,"çŁ¥è¯ĨçĤ¹":113366,"ä¸ŃåĽ½æ¢¦":113367,"å¾Īå¼Ģå¿ĥ":113368,"礼è²Į":113369,"éĿŀ常å¤ļ":113370,"éĿŀ常å¤ļçļĦ":113371,"åĽļ":113372,"æĹħé¦Ĩ":113373,"å°½æĥħ":113374,"æŃĮåĶ±":113375,"æ²Ļé¾Ļ":113376,"车åİ¢":113377,"客æµģ":113378,"åģıå·®":113379,"积累äºĨ":113380,"æ¡Ķ":113381,"çĶ»çĶ»":113382,"ä¹ŁåºĶ该":113383,"åºĶçĶ¨ç¨ĭåºı":113384,"èĥĥèĤł":113385,"以å¾Į":113386,"豪å®ħ":113387,"æ·±åĬłå·¥":113388,"缴è¨Ģ":113389,"åĮĸçŁ³":113390,"åĽ½éģĵ":113391,"ä¸ĥ个":113392,"ä»İèĢĮ使":113393,"èĤłèĥĥ":113394,"æĹ¥è¶ĭ":113395,"çĪ¶åŃIJ":113396,"ç·©":113397,"æĭĽçīĮ":113398,"产å¦ĩ":113399,"çķªèĮĦ":113400,"æĪijéĻ¢":113401,"建çŃijå·¥ç¨ĭ":113402,"å±ķè§Īä¼ļ":113403,"家éķ¿ä»¬":113404,"åĨľä½ľçī©":113405,"æĹ¥å¤ľ":113406,"æĶ»æĵĬ":113407,"è§Ħéģ¿":113408,"èĪŁå±±":113409,"便æ°ij":113410,"åħ«åŃĹ":113411,"ä¸įæĽ¾":113412,"æĶ¯éħį":113413,"çĨ¬å¤ľ":113414,"人é¡ŀ":113415,"ç´ĢéĮĦ":113416,"ç»ıèIJ¥æ´»åĬ¨":113417,"大涨":113418,"å¸Ĥå§Ķ常å§Ķ":113419,"åĪĨéIJĺ":113420,"ä¸Ģ个èģĮä¸ļ":113421,"çĹħåĽł":113422,"è¿Ļ对äºİ":113423,"ä¸įå¾Ĺä¸į说":113424,"åıijçĶµæľº":113425,"æľīæīĢ帮åĬ©":113426,"缮æłĩä»»åĬ¡":113427,"åĽłåľ°":113428,"åĽłåľ°åĪ¶":113429,"åĽłåľ°åĪ¶å®ľ":113430,"å°Ĩè¾¾åĪ°":113431,"ç²Ĺç³Ļ":113432,"ç¨³åĽº":113433,"å«£":113434,"çİ°åľ¨å¾Īå¤ļ":113435,"ä¸ĸçķĮ级":113436,"å¼łæŁIJ":113437,"çĤ¹ç¼Ģ":113438,"èijµ":113439,"社ä¼ļç»Ħç»ĩ":113440,"å¾ĢåIJİ":113441,"åĬłæģ¯":113442,"åĻªå£°":113443,"æľīåħ´è¶£":113444,"为æĤ¨æıIJä¾Ľ":113445,"æ²¹æ¼Ĩ":113446,"ç¬¬åĽĽå±Ĭ":113447,"çļĩ宫":113448,"ä¹Ĵä¹ĵ":113449,"ä¹Ĵä¹ĵçIJĥ":113450,"éļ¨èijĹ":113451,"éģ©åIJĪ":113452,"åįĹéĿŀ":113453,"æĵ´":113454,"西æ´ĭ":113455,"åĬłå¯Ĩ":113456,"æĪIJåĬŁä¸¾åĬŀ":113457,"åı£æ°´":113458,"æĪIJ年人":113459,"æīĢæıIJä¾ĽçļĦ":113460,"éļĶå£ģ":113461,"åľ¨äº¬":113462,"å½ĵåľ°æŶéĹ´":113463,"çŃīåIJĦç§į":113464,"é£İæ°Ķ":113465,"å±ĭéĩĮ":113466,"ä¸ĢåŃĹ":113467,"çļĦæŶéĹ´éĩĮ":113468,"åĺ¿åĺ¿":113469,"快讯":113470,"ä¸Ńåľº":113471,"ä¸Ģçĵ¶":113472,"æ»ķ":113473,"é¢Ĩè·ij":113474,"好èݱ":113475,"好èݱåĿŀ":113476,"没åħ³ç³»":113477,"åĩºå¢ĥ":113478,"ä¸įæĺ¯ä¸Ģ个":113479,"éĥ½æĺ¯éĿŀ常":113480,"éľĩåĬ¨":113481,"èİ·èĥľ":113482,"åįļå¼Ī":113483,"æĬļåħ»":113484,"对ç«ĭ":113485,"æľįåĬ¡æľºæŀĦ":113486,"è°£è¨Ģ":113487,"社ä¼ļç§ijåѦ":113488,"åIJ¬è¯´è¿ĩ":113489,"æī³":113490,"æīĵ磨":113491,"åı£æľį":113492,"好åĥıæĺ¯":113493,"以åıĬåħ¶ä»ĸ":113494,"çī¹è´¨":113495,"亲è¿ij":113496,"ä¸Ģç»ı":113497,"æ¶Ŀ":113498,"éŃĶæľ¯":113499,"éģĵ路交éĢļ":113500,"è§Ħ模æľĢ大":113501,"å®ŀæĸ½æĦıè§ģ":113502,"ä¹ŀ":113503,"ä¸Ģä¸ĸ":113504,"åŁ·è¡Į":113505,"è±Ĩçĵ£":113506,"åĪĹ为":113507,"æķħ宫":113508,"çĶŁåij½åij¨æľŁ":113509,"ä¸īç§įèģĮä¸ļ":113510,"详ç»Ĩä»ĭç»į":113511,"å®Įå¤ĩ":113512,"å²©çŁ³":113513,"éļıæīĭ":113514,"飲":113515,"æķĪæŀľåĽ¾":113516,"ç§ĭåĨ¬":113517,"åĬŁå¾·":113518,"è§Ħç«łåĪ¶åº¦":113519,"æĹ¥æ¸IJ":113520,"æīĢéľĢè¦ģ":113521,"æīĢéľĢè¦ģçļĦ":113522,"å²Ľä¸Ĭ":113523,"åĩºåľŁ":113524,"åĽ¾æĸĩ":113525,"ç§ijæĬĢè¿ĽæŃ¥":113526,"éĢļèĥĢ":113527,"èĢģ太太":113528,"èĭĹæľ¨":113529,"éĵ¶å·Ŀ":113530,"å¸IJ篷":113531,"éĿŀè¦ģ":113532,"éħįçĶµ":113533,"å¤Ħå¢ĥ":113534,"èĤ¡æĿĥæĬķèµĦ":113535,"ä¸Ģ缴åĪ°":113536,"åĿĩçĶ±":113537,"æĬĹæĹ¥":113538,"æį®ä»ĭç»į":113539,"ä½łåĸľæ¬¢":113540,"åĪĽæĸ°åŀĭ":113541,"åıĺè¿ģ":113542,"è§Ĩå¯Ł":113543,"å®Įåħ¨æ²¡æľī":113544,"åħĥæŦ":113545,"åı¯ä¿¡":113546,"åı¦è¡Į":113547,"æĿij级":113548,"åħ¥åľº":113549,"æIJŃæ¡£":113550,"ä¹ŁåĽłæѤ":113551,"æį¢æĪIJ":113552,"ä¸įè´Ł":113553,"äºĨ大éĩıçļĦ":113554,"éģĶåĪ°":113555,"å¸Ĥåİ¿":113556,"å¹´è¼ķ":113557,"å¿«æīĭ":113558,"å¸Įå°Ķ":113559,"èĩªèIJ¥":113560,"éĽªèĬ±":113561,"æIJģ":113562,"çľ¼ç§ij":113563,"æŃ£ç¢º":113564,"çļĦ姿æĢģ":113565,"åĿļå®ŀçļĦ":113566,"æĮĩ纹":113567,"æªĶæ¡Ī":113568,"ç½®äºİ":113569,"佩æľį":113570,"豪éŨ":113571,"åĵĴ":113572,"æģ°å¥½":113573,"æª¢æŁ¥":113574,"åĪĿè¡·":113575,"大åĶIJ":113576,"约ä¼ļ":113577,"èĴ¸åıij":113578,"çŃ¹åĪĴ":113579,"å¹´ç»Ī":113580,"è¡Įæ¥Ń":113581,"åħ±éĿĴ":113582,"åħ±éĿĴåĽ¢":113583,"ä¼ļå¼ķèµ·":113584,"ä¸Ńç§ij":113585,"ä¸Ńç§ijéĻ¢":113586,"æĮ¯åĬ¨":113587,"åį´åıijçİ°":113588,"ä¸įåĬ¨äº§":113589,"èĮ¹":113590,"æĪ¿éĹ´éĩĮ":113591,"è´§å¸ģæĶ¿çŃĸ":113592,"æ²»çĻĤ":113593,"æħİéĩį":113594,"å¡ŀå°Ķ":113595,"åĽ½ç±į":113596,"åĽłæŀľ":113597,"çŃīçī¹çĤ¹":113598,"山谷":113599,"ä¸ĭè¼ī":113600,"è®ĵæĪij":113601,"饮éħĴ":113602,"è¿Ļ个游æĪı":113603,"ç»Ŀ大éĥ¨åĪĨ":113604,"åĴ¨è¯¢æľįåĬ¡":113605,"干活":113606,"è®®ä¼ļ":113607,"æ¦Ĥè¿°":113608,"åĪĨåĮº":113609,"æŃ»åIJİ":113610,"ç«ĻçĿĢ":113611,"主è¦ģé¢Ĩ导":113612,"åIJĮåŁİ":113613,"大æłij":113614,"对åѦçĶŁ":113615,"社ä¼ļä¿ĿéĻ©":113616,"å¢ŀèµĦ":113617,"主人åħ¬":113618,"å®£ä¼łæķĻèĤ²":113619,"æĸĩåĮĸ交æµģ":113620,"客æĪ¶":113621,"çŁ¥åIJįåĵģçīĮ":113622,"æ»ŀåIJİ":113623,"äºĴè¡¥":113624,"æĦŁäºº":113625,"åī¿":113626,"åIJİ代":113627,"äºī龸":113628,"æķĻèĤ²åŁ¹è®Ń":113629,"éĿĻèĦī":113630,"ä¹ıåĬĽ":113631,"说åĩºæĿ¥":113632,"çİĭèĢħèį£èĢĢ":113633,"åĢ«":113634,"åįĩèµ·":113635,"éķģ":113636,"åĩºæ¸¸":113637,"éĢļè¡Įè¯ģ":113638,"å·¥ä½ľå²Ĺä½į":113639,"åĮłå¿ĥ":113640,"æĭ¿æĿ¥":113641,"æ´Ĺè¡£æľº":113642,"æĪijä¸įæĥ³":113643,"é¢Ħè§ģ":113644,"æ¼Ķ示":113645,"ä¸ĢçĽ´æ²¡æľī":113646,"è·Łå¥¹":113647,"对çħ§æ£ĢæŁ¥":113648,"ç°¿":113649,"ä¸ĵå¿ĥ":113650,"è®®äºĭ":113651,"åīį端":113652,"åį¡å°Ķ":113653,"è¨Ńå®ļ":113654,"设置äºĨ":113655,"å©ļ纱":113656,"åľ¨åĽ½å¤ĸ":113657,"åı³ä¾§":113658,"è³¼çī©":113659,"å¥ĩèij©":113660,"å¢ŀåĬłåĢ¼":113661,"好è¿IJ":113662,"åĽ½éĻħæľºåľº":113663,"ä¸ĭ称":113664,"缮åīį为æŃ¢":113665,"ç¥ŀä»Ļ":113666,"å®ĥåı¯ä»¥":113667,"æ¾Ħæ¸ħ":113668,"èĥ½ä½¿":113669,"游åĩ»":113670,"游åĩ»éĺŁ":113671,"åĩ¹":113672,"ä¸įè¦ģåĨį":113673,"åĨ³èĥľ":113674,"åĨ³æĪĺ":113675,"æĭ½":113676,"缼åħ¸":113677,"å¾Īå¥½åľ°":113678,"æľĢç¾İçļĦ":113679,"åĥļ":113680,"å·´åŁº":113681,"å·´åŁºæĸ¯åĿ¦":113682,"æľĢéĢĤåIJĪ":113683,"é«ĺèģĮ":113684,"ä¿Ŀå§Ĩ":113685,"æİĪæ¬Ĭ":113686,"说åĪ°è¿ĻéĩĮ":113687,"æݨå¼Ģ":113688,"çİĩè¾¾":113689,"ä¸īåĪĨä¹ĭä¸Ģ":113690,"管çIJĨä¸Ńå¿ĥ":113691,"交æ±ĩ":113692,"森æŀĹåħ¬åĽŃ":113693,"å¾Ģä¸Ĭ":113694,"éªijè¡Į":113695,"æį®æѤ":113696,"纽带":113697,"ç»ŀ":113698,"ä¸īæĸ¹":113699,"æĦıä¹īä¸ĬçļĦ":113700,"æİ¨è¿Ł":113701,"å¤ļæł·æĢ§":113702,"æĥ³èµ·äºĨ":113703,"æİĴåIJį第":113704,"å·¨é¢Ŀ":113705,"æĿŁç¼ļ":113706,"å®īå®ļ":113707,"äºĭ實":113708,"çļĦæĦ¿æľĽ":113709,"è£ħå¤ĩåĪ¶éĢł":113710,"人å±ħ":113711,"人å±ħçݯå¢ĥ":113712,"å¿ĺè®°äºĨ":113713,"该游æĪı":113714,"楼ä¸Ĭ":113715,"å¼Ģä¼ļ":113716,"æģ³":113717,"åıĭæĥħéĵ¾æİ¥":113718,"ç¡Ĵ":113719,"ç»ĻäºĪäºĨ":113720,"åģı好":113721,"åĵī":113722,"交éĢļå®īåħ¨":113723,"éĽĮ":113724,"æ²»çĹħ":113725,"è§īå¾Ĺå¾Ī":113726,"衬衫":113727,"å¿ĥæĦ¿":113728,"æ´ŀå¯Ł":113729,"æ°ijæ£Ģå¯ŁéĻ¢":113730,"æıIJçĤ¼":113731,"è¦ģè¿Ľä¸ĢæŃ¥":113732,"驾车":113733,"æĻ®æĥł":113734,"æķĸ":113735,"ç¦ıéŁ³":113736,"éĢģè¾¾":113737,"è§ĦåĪĴ设计":113738,"æīĭå¥Ĺ":113739,"å®īä¿Ŀ":113740,"è¿ĺä¸įå¦Ĥ":113741,"åīįè¿°":113742,"æłĩè®°":113743,"ç´§æİ¥çĿĢ":113744,"æ§IJ":113745,"æ·±æ·±åľ°":113746,"满满çļĦ":113747,"æĺ¥è¿IJ":113748,"æĹ¥äº§":113749,"çĪ±æĬ¤":113750,"åħ¨æĹ¥":113751,"åħ¨æĹ¥åĪ¶":113752,"转åĬ¨":113753,"ç¥Ńç¥Ģ":113754,"ä¹°ä¸ľè¥¿":113755,"å¯¹æľªæĿ¥":113756,"æ¶Ī失äºĨ":113757,"åļ´éĩį":113758,"ä¸īæĿ¡":113759,"éħ¸å¥¶":113760,"éĽĨåĽ¢èĤ¡ä»½":113761,"西路":113762,"åıªå¾Ĺ":113763,"éĢģåİ»":113764,"çĭłæĬĵ":113765,"åĪ©çĶ¨çİĩ":113766,"ä¸ĭåij¨":113767,"å¥ĭæĪĺ":113768,"æĺ¥èĬĤæľŁéĹ´":113769,"è´Łè´£ä»»":113770,"æĺĤè´µ":113771,"尾巴":113772,"ç¯ĩæĸĩç«ł":113773,"åħ®":113774,"è®ĬæĪIJ":113775,"å¹¹":113776,"çĻ»éĮĦ":113777,"ä½Ī":113778,"å·¥åĮł":113779,"åĵªæĢķæĺ¯":113780,"åıįåĵį":113781,"ç§ĥ":113782,"åĩºè½¨":113783,"æĹ¥åĨĽ":113784,"åIJįèªī":113785,"æķıéĶIJ":113786,"æľįåĬ¡æ°´å¹³":113787,"çħ§å°Ħ":113788,"ä¼Ĭæĭī":113789,"ä¼Ĭæĭīåħĭ":113790,"åĨħéĺģ":113791,"èĬĴæŀľ":113792,"ä¸ĩåĪĨ":113793,"éĢĢ款":113794,"缴æĴŃéĹ´":113795,"æĭ¿åĪ°äºĨ":113796,"å°İèĩ´":113797,"空æ°Ķä¸Ń":113798,"客æĪ·æľįåĬ¡":113799,"è¿IJåĬ¿":113800,"ç»ĵçŁ³":113801,"ä¸įå¿ħè¦ģçļĦ":113802,"èĥ¶åĽĬ":113803,"çIJĨä¼ļ":113804,"æĬ½åĩº":113805,"空æ°Ķè´¨éĩı":113806,"æ¯ķç«Łæĺ¯":113807,"åĨ·æ¼ł":113808,"ä¸Ģå¦Ĥ":113809,"ä¸Ģå¦ĤæĹ¢":113810,"ä¸Ģå¦ĤæĹ¢å¾Ģ":113811,"æĤ£çĹħ":113812,"åĬłæĮģ":113813,"èµŀåĬ©":113814,"é«®":113815,"åij½ä¸Ń":113816,"æĦıä¹īä¸Ĭ":113817,"ä¸įèĪį":113818,"åģļ梦":113819,"æīĵæī«":113820,"æĺŁåħī":113821,"æĸŃè£Ĥ":113822,"åħ¨å¥Ĺ":113823,"è£ģå®ļ":113824,"马åħĭæĢĿ":113825,"骨骼":113826,"ä¸Ģè·¯ä¸Ĭ":113827,"å®ļæŶ":113828,"å·¥ç¨ĭæĬĢæľ¯":113829,"å½¼å¾Ĺ":113830,"æ±²åıĸ":113831,"ä¸Ģè§Ī":113832,"åIJµæŀ¶":113833,"ä¿Ĺ称":113834,"æłªæ´²":113835,"åºŁæŧ":113836,"è¡ĮæĺŁ":113837,"åıijçĶŁåıĺåĮĸ":113838,"é¦ĸä»ĺ":113839,"åįģåĪĨéĩįè¦ģ":113840,"æĬĬè¿ĻäºĽ":113841,"ç¥ŀå·ŀ":113842,"æıIJä¾ĽåķĨ":113843,"楷":113844,"å±İ":113845,"çĬ¶åħĥ":113846,"åŁİå¢Ļ":113847,"çľĭä¸Ģçľĭ":113848,"çĶŁäº§èĥ½åĬĽ":113849,"åŁºæľ¬ä¸Ĭéĥ½":113850,"æīĵæī°":113851,"åĪĿ次":113852,"åĩºç¤º":113853,"åħ¶ä¸Ńä¸Ģ个":113854,"çĶŁæĢģç³»ç»Ł":113855,"æīĭæİĮ":113856,"æµİåįĹå¸Ĥ":113857,"åľĭåħ§":113858,"æŃ£åĢ¼":113859,"å¹¾ä¹İ":113860,"æݨèįIJéĺħ读":113861,"è¿Ń代":113862,"è°ĥä¾ĥ":113863,"饮åĵģ":113864,"å¢Ļä½ĵ":113865,"åıĺçİ°":113866,"äºĨ好":113867,"äºĨ好åĩł":113868,"ä¸įçķĻ":113869,"çĪ²":113870,"å°½æĹ©":113871,"æŃ£åľ¨è¿Ľè¡Į":113872,"åĩºéĻ¢":113873,"æĿĢ害":113874,"æıIJ款":113875,"åıijå±ķ空éĹ´":113876,"åīį身":113877,"ä¸įæĸŃå¢ŀ强":113878,"æ·±å±Ĥ次":113879,"容纳":113880,"éĤ£ä»½":113881,"å·¥ä½ľæķĪçİĩ":113882,"æľ¬åĽ½":113883,"失èIJ½":113884,"æŃ£åĽłä¸º":113885,"èĬĤæ°´":113886,"ä¸ĭä¸Ģ代":113887,"çłĶåıijä¸Ńå¿ĥ":113888,"ä¸įçIJĨ":113889,"å®Į好":113890,"ä¿ĿæĬ¤åĮº":113891,"ç»ĵæŀĦè°ĥæķ´":113892,"å¥łå®ļ":113893,"宣称":113894,"éĺ»æĮ¡":113895,"æĴ¤ç¦»":113896,"ä¸įæĸ¹ä¾¿":113897,"åĴķ":113898,"ç¬ijäºĨç¬ij":113899,"çݯå¢ĥ污æŁĵ":113900,"ä½ıæĪ·":113901,"ç»Ŀç¼ĺ":113902,"éĻ¤å°ĺ":113903,"é«ĺå°ļ":113904,"æĢİä¹Īåı¯èĥ½":113905,"éĿ¢èī²":113906,"åķĨæ¥Ń":113907,"çĸ¹":113908,"èµĦæºIJä¼ĺåĬ¿":113909,"è¾ĸåĮºåĨħ":113910,"èĢĢçľ¼":113911,"æij§æ¯ģ":113912,"ä¸ĸçķĮç»ıæµİ":113913,"å¼ķæĿ¥":113914,"ä¸ĢåĪĻ":113915,"æĭĩæĮĩ":113916,"æĬµå¾¡":113917,"éĽį":113918,"åĩĨå¤ĩå·¥ä½ľ":113919,"çıłä¸īè§Ĵ":113920,"ç¨ĢåľŁ":113921,"èİ·å¾ĹæĦŁ":113922,"æĪIJåĬŁçİĩ":113923,"ç½ij约":113924,"ç½ij约车":113925,"èĦIJ":113926,"æķ¬ä¸ļ":113927,"éĩijä»·":113928,"ç²¾é«ĵ":113929,"买车":113930,"åħ³åı£":113931,"åĨįå¤ļ":113932,"æŀģåĵģ":113933,"åIJĦ家":113934,"举æĬ¥çĶµè¯Ŀ":113935,"èļĬ":113936,"æĸ¹å½¢":113937,"ç§ijæĬĢæĪIJæŀľ":113938,"æľĢ好æĺ¯":113939,"éĹ®åĢĻ":113940,"红éħĴ":113941,"åĽĽç§į":113942,"ç¿Ĵæħ":113943,"ç¿Ĵæħ£":113944,"åŀ¦":113945,"éĤ£åıª":113946,"é¢ĨæĤŁ":113947,"çľ¼éĥ¨":113948,"æ³°å®ī":113949,"ä»»æľŁ":113950,"磨æįŁ":113951,"æĽ¿æį¢":113952,"åħ¸ç¤¼":113953,"符åIJĪæĿ¡ä»¶":113954,"è¿ĺæľīä»Ģä¹Ī":113955,"åħ±äº«åįķ车":113956,"åı¯åĪĨ为":113957,"åŃ£åIJİ":113958,"åŃ£åIJİèµĽ":113959,"举èİŀå¸Ĥ":113960,"å¿ĥæĦı":113961,"æīŃæĽ²":113962,"ä½ľä¸ºä¸Ģç§į":113963,"è¿Ļéĥ¨åĪĨ":113964,"åıĤä¸İåĪ°":113965,"ç½ijçIJĥ":113966,"實çı¾":113967,"ç»Ħè£ħ":113968,"åIJijå¤ĸ":113969,"å·¥ä½ľæĸ¹æ¡Ī":113970,"åįģæĿ¡":113971,"課ç¨ĭ":113972,"颤æĬĸ":113973,"åĵ©":113974,"éĤ®å¯Ħ":113975,"亢":113976,"åħįè²»":113977,"秤":113978,"åºĶæĢ¥ç®¡çIJĨ":113979,"åĽĽäºĶ":113980,"éºĴéºŁ":113981,"å¾ĴæŃ¥":113982,"è¨ĺå¾Ĺ":113983,"çĴIJ":113984,"æĺ¯åIJ¦ä¼ļ":113985,"æĦıè§ģåıįé¦Ī":113986,"éļ¾æĢª":113987,"çªį":113988,"交æİ¥":113989,"两åįĥ":113990,"æĩīçĶ¨":113991,"æľŁéĸĵ":113992,"æIJ¬åĪ°":113993,"è®®é¢ĺ":113994,"碧æ¡Ĥ":113995,"碧æ¡ĤåĽŃ":113996,"åģļçĶŁæĦı":113997,"éĻĽä¸ĭ":113998,"è·ĭ":113999,"èĢģ人家":114000,"带åĽŀ":114001,"æŀ¸æĿŀ":114002,"è¡Įéķ¿":114003,"åĨħ容ç®Ģä»ĭ":114004,"梢":114005,"æĮĩæݧ":114006,"éĩįçĹĩ":114007,"ç½ijåıĭ们":114008,"çı¾ä»£":114009,"类产åĵģ":114010,"å¥Ķæ³¢":114011,"渺":114012,"ç²īç¢İ":114013,"è¿Ļåıªæĺ¯":114014,"æ£Ģå¯Łæľºåħ³":114015,"é½Ĭ":114016,"æĪ¿ç§Ł":114017,"å¾·æĭī":114018,"å²ģ以ä¸Ĭ":114019,"纯åĩĢ":114020,"åĪĨå¸ĥåľ¨":114021,"èĥ½å¾ĹåĪ°":114022,"ä¸įå°½":114023,"ç«ŀä»·":114024,"çļĦ带é¢Ĩ":114025,"çļĦ带é¢Ĩä¸ĭ":114026,"ä¸Ńèį¯æĿIJ":114027,"æĿijéķĩ":114028,"ä¸įåı¯éģ¿åħį":114029,"éľ²å¤©":114030,"å°ıå§ijå¨ĺ":114031,"çī©ä»¶":114032,"èijĹä½ľæĿĥ":114033,"æĭĺçķĻ":114034,"éĥ½è§īå¾Ĺ":114035,"æĽ²æĬĺ":114036,"æ·»åĬłåīĤ":114037,"åı¬åĽŀ":114038,"æīİå®ŀæİ¨è¿Ľ":114039,"æĬĦè¢Ń":114040,"åĮĸ身":114041,"缴èIJ¥":114042,"ä¹Łå¸ĮæľĽ":114043,"èį£èªī称åı·":114044,"åįĸç»Ļ":114045,"æľīä¸įåIJĮçļĦ":114046,"å¥ĩçī¹":114047,"éĥ½è®¤ä¸º":114048,"å¦ŀ":114049,"æĪIJéķ¿ä¸º":114050,"辩æĬ¤":114051,"主æķĻç»ĥ":114052,"æ³ķå¸ĪèģĮä¸ļ":114053,"æ¤įåħ¥":114054,"索尼":114055,"åIJ¬è¿ĩ":114056,"ä¹łæĥ¯äºĨ":114057,"夺åıĸ":114058,"éŁĵ":114059,"æľ¬è´¨ä¸Ĭ":114060,"æİ¥åĬĽ":114061,"äºij端":114062,"è¦ģåģļ好":114063,"è·¯çģ¯":114064,"åįıåIJĮåıijå±ķ":114065,"æľīå¾ħ":114066,"æ°´åŁŁ":114067,"æIJľçĭIJé¦ĸ页":114068,"è´¨éĩıå®īåħ¨":114069,"åįģäºĮäºĶ":114070,"åĵ®åĸĺ":114071,"èĵ¬åĭĥåıijå±ķ":114072,"åIJį声":114073,"身亡":114074,"çİĭåºľ":114075,"åİŁåĪĻä¸Ĭ":114076,"çĥĺå¹²":114077,"éģĹæ¼ı":114078,"éĿ¢çĽ®":114079,"åĽ½ä¼ļ":114080,"ä¸Ģ缴éĥ½æĺ¯":114081,"æľīä¸Ģä½į":114082,"éħįæľī":114083,"éĻªçĿĢ":114084,"ä¼ģåĽ¾":114085,"æĮīä¸ĭ":114086,"èĵĿåĽ¾":114087,"æ©ĺ":114088,"大å¤ļæĺ¯":114089,"辩论":114090,"æĹĭå¾ĭ":114091,"æĬ¥éĢģ":114092,"æĿ¡è§Ħå®ļ":114093,"åĬ¨éĿĻ":114094,"åĮĪ奴":114095,"æĭľè®¿":114096,"ä¸ĢåĪĢ":114097,"ä»ĸçŁ¥éģĵ":114098,"主æĿĥ":114099,"ä»ĸæĽ¾":114100,"æĴŃç§į":114101,"å£ģåŀĴ":114102,"çī¢è®°ä½¿åij½":114103,"åľ¨è¿Ļæĸ¹éĿ¢":114104,"æīĭèħķ":114105,"æĶ¯æŀ¶":114106,"ä¾Ĩèĩª":114107,"éĩįå¡ij":114108,"å¤ļå±Ĥ次":114109,"ä»ĭè´¨":114110,"éĿ¢åŃĶ":114111,"潮湿":114112,"åİ¿åŁŁ":114113,"游æĪıå½ĵä¸Ń":114114,"å£ŀ":114115,"åĪĹåĩº":114116,"èµĽåĮº":114117,"å¤ļåįĬ":114118,"éĩįçĤ¹å·¥ä½ľ":114119,"æĪij们å¿ħé¡»":114120,"æŁıæŀĹ":114121,"é²ģèĥ½":114122,"æĸ½å±ķ":114123,"åIJĦåĮº":114124,"åħįç¨İ":114125,"èµĽåIJİ":114126,"æľĢéĩįè¦ģ":114127,"ä¸Ģ个好çļĦ":114128,"è¿Ŀæ³ķè¿Ŀè§Ħ":114129,"äºĨè§£æĽ´å¤ļ":114130,"æķ¬è¯·":114131,"ç¬ijçĿĢ说":114132,"ä¸įæĸŃåıijå±ķ":114133,"æijĦå½±å¸Ī":114134,"以éĺ²":114135,"çĤ¸å¼¹":114136,"声åĵį":114137,"ç¤ģ":114138,"æĩ¿":114139,"èĪĨæĥħ":114140,"èĩªçĶ±è´¸æĺĵ":114141,"æķıæį·":114142,"ä¸ī大éĺ¶æ®µ":114143,"èĭĶ":114144,"æĹºåŃ£":114145,"ä¸į满æĦı":114146,"微信åı·":114147,"修为":114148,"çł´è£Ĥ":114149,"éĢĥ离":114150,"æ¯ıèĤ¡":114151,"è¾¾ä¸įåĪ°":114152,"æ¯ıå¹´éĥ½":114153,"çģ¯ç¬¼":114154,"æŃ¤åŁºç¡Ģä¸Ĭ":114155,"åĥı个":114156,"åĪĨ娩":114157,"æĻ¾":114158,"ä¸įèĩ³äºİ":114159,"红线":114160,"误解":114161,"ä¸ľè·¯":114162,"æ·®å®ī":114163,"产åѦ":114164,"产åѦçłĶ":114165,"èī¾æ»ĭ":114166,"èī¾æ»ĭçĹħ":114167,"åīįæıIJæĺ¯":114168,"æ¯ıä¸Ģ天":114169,"ä¸ĥ大":114170,"æłijåı¶":114171,"èµ°å¾Ĺ":114172,"è¿Ļ两ç§į":114173,"æİıåĩº":114174,"æİIJ":114175,"é¢Ĩ导èĢħ":114176,"ä¸Ģæľµ":114177,"个å¤ļæľĪ":114178,"ä¸Ńåħ³":114179,"ä¸Ńåħ³æĿij":114180,"课åłĤæķĻåѦ":114181,"大åĴĸ":114182,"éģĭçĶ¨":114183,"è¯ļæĦı":114184,"ç»ĦåĽ¾":114185,"è¯ķçĿĢ":114186,"ä¹Ķæ²»":114187,"è¿ĺä¸įæĺ¯":114188,"æľīæĽ´å¥½çļĦ":114189,"åIJİå¤ĩ":114190,"æĸ°çĶŁåĦ¿":114191,"æ°Ķè¡Ģ":114192,"æ²¥éĿĴ":114193,"å±ıéļľ":114194,"æ¥ŃåĭĻ":114195,"æĪij以为":114196,"éķ¿çĽ¸":114197,"èĢģçĪ¸":114198,"éķĩæ±Ł":114199,"æľºæ¢°è®¾å¤ĩ":114200,"ä½Ĩæĺ¯å¦Ĥæŀľ":114201,"åĿļå®ļä¸į":114202,"åĿļå®ļä¸į移":114203,"åĨ²éĶĭ":114204,"ç®Ģ缴æĺ¯":114205,"åĤ¨èĵĦ":114206,"纯çĶµåĬ¨":114207,"漫æŃ¥":114208,"举起":114209,"æģ¶æĢ§":114210,"è¨ĺéĮĦ":114211,"èģĮèĥ½éĥ¨éŨ":114212,"åħ¨éķ¿":114213,"鼻è¦ĸ":114214,"ä¹³èħº":114215,"ä½ķå¤Ħ":114216,"æ¶Īæŀģ":114217,"æŃ£å¤Ħäºİ":114218,"å®īå®ģ":114219,"æĪIJéķ·":114220,"åıĻè¿°":114221,"æºĥçĸ¡":114222,"ä½Ĩçİ°åľ¨":114223,"女æĺŁ":114224,"å©´å¹¼åĦ¿":114225,"æĬķèŀįèµĦ":114226,"éĹ®éĹ®":114227,"æıŃå¼Ģ":114228,"è¯ı":114229,"åIJįå½ķ":114230,"èĺijèıĩ":114231,"åIJĬ顶":114232,"æ¹ĸåĮº":114233,"åįĸåľº":114234,"建ç¯":114235,"建ç¯ī":114236,"èݽ":114237,"åIJ¬åIJ¬":114238,"ç«ŀäºīä¼ĺåĬ¿":114239,"åĩºä»»":114240,"æľī两ç§į":114241,"æ©±æŁľ":114242,"褪":114243,"è¯ķåį·":114244,"ç»ıæµİæĬĢæľ¯":114245,"æ·±å±Ĥ":114246,"éĩįè¦ģåĨħ容":114247,"é£İæݧ":114248,"çĬ¶æĢģä¸ĭ":114249,"éĥ¨éĸĢ":114250,"广汽":114251,"è§Ĥæij©":114252,"éģĹçķĻ":114253,"转账":114254,"æĮģä»ĵ":114255,"æĢ»è®¡":114256,"åľĺéļĬ":114257,"æĪ¿ä¸ľ":114258,"éĺĢéŨ":114259,"åħ¬åħ³":114260,"åħ³åĪĩ":114261,"èĤĺ":114262,"æķ¸æĵļ":114263,"ä¸īåįģå¹´":114264,"è§ģè¯ģäºĨ":114265,"å±Ĩ":114266,"çģ°å°ĺ":114267,"æ¦ľé¦ĸ":114268,"è¦ĨçĽĸçİĩ":114269,"ä»Ļ女":114270,"çĶŁäº§æĢ»":114271,"çĶŁäº§æĢ»åĢ¼":114272,"æĪ¿è´·":114273,"æ±ŁåĮº":114274,"åħħçĶµæ¡©":114275,"çĻ¾åIJĪ":114276,"確èªį":114277,"转移åĪ°":114278,"éĥ½æĹłæ³ķ":114279,"纪念é¦Ĩ":114280,"çŃ¾ç½²äºĨ":114281,"并ä¸įå¤ļ":114282,"æĮł":114283,"ä¸į太好":114284,"ä¸ĸ代":114285,"误导":114286,"é«ĺ峰论åĿĽ":114287,"åħ¼å®¹":114288,"龸æ°Ķ":114289,"æĿ¥è®¿":114290,"æīĢ带æĿ¥çļĦ":114291,"æĺ¯ä¸Ģéĥ¨":114292,"æĻļé¥Ń":114293,"åİĨ代":114294,"åIJ¦åīĩ":114295,"ä¹ħä¹ħ":114296,"æľīæķĪæľŁ":114297,"诱åıij":114298,"æĢ»èµĦ产":114299,"æľ¬èº«å°±æĺ¯":114300,"çĶŁäº§åİĤ家":114301,"æŶ髦":114302,"èĢIJçĶ¨":114303,"ä»İå°ıå°±":114304,"æĿ¡çº¦":114305,"èĭ±åĭĩ":114306,"ä¿Ĺè¯Ŀ说":114307,"寺åºĻ":114308,"å¿ĥçIJĨåģ¥åº·":114309,"ä»Ģä¹Īäºĭæĥħ":114310,"æ±īåŃĹ":114311,"çķĻä½ı":114312,"åįĹè·¯":114313,"ä¸ī项":114314,"丢äºĨ":114315,"æĥ³åĪ°äºĨ":114316,"çŃ¹éĽĨ":114317,"éĻĦåĬłåĢ¼":114318,"西è£ħ":114319,"ä¹ĭä½ľ":114320,"åģļçļĦäºĭ":114321,"çķ¶æĤ¨":114322,"çķ¶æĤ¨åľ¨":114323,"é¦ĸ款":114324,"ä¸įåľ¨ä¹İ":114325,"å·¥ç¨ĭæĸ½å·¥":114326,"éļIJéļIJ":114327,"åıĺ身":114328,"沿éĢĶ":114329,"æĤłæĤł":114330,"ä¿Ŀæļĸ":114331,"çĶŁæ´»åŀĥåľ¾":114332,"渤海":114333,"æŃ¦ä¾ł":114334,"女主è§Ĵ":114335,"举ä¾ĭ":114336,"æ·¨":114337,"çĻ½é¢Ĩ":114338,"è£ĻåŃIJ":114339,"è¿Ķè¿ĺ":114340,"è¿Īåĩº":114341,"é¾ĻéŨ":114342,"ç»ıæµİä½ĵ":114343,"æĶ¶å®ĺ":114344,"çķĮéĻIJ":114345,"è·³åĩº":114346,"åįĩåĢ¼":114347,"绵éĺ³":114348,"çĸ¤çĹķ":114349,"çľĭæ¸ħ":114350,"æĭĴçµķ":114351,"è¥Ħéĺ³":114352,"课å¤ĸ":114353,"åŃIJåŃĻ":114354,"æŃĮè¯į":114355,"æĪIJåIJį":114356,"溶液":114357,"åĦĴ家":114358,"åķĨä¸ļåĮĸ":114359,"辨åĪ«":114360,"å¤ļè¾¾":114361,"ç½ijåºĹ":114362,"ä¹Ŀ大":114363,"ä¹Ŀ大精ç¥ŀ":114364,"æŃ¤ä¸¾":114365,"è¿ŀè½½":114366,"ä¸ĢåĢĭ人":114367,"èī²æ³½":114368,"涵çĽĸäºĨ":114369,"è¦ıåĬĥ":114370,"åĽ½æĥħ":114371,"åį«çĶŁåģ¥åº·":114372,"积æŀģåĵįåºĶ":114373,"æĭĻ":114374,"åĪ¶åĬ¨":114375,"æĥ³è±¡åĬĽ":114376,"çļĦä¹IJ趣":114377,"å¼łå®¶çķĮ":114378,"å´İ":114379,"éĩįåŀĭ":114380,"å¤ĸå¢Ļ":114381,"æĶ¾åѦ":114382,"è®¤çľŁåŃ¦ä¹ł":114383,"è´¬åĢ¼":114384,"æ³ķæ¡Ī":114385,"æĬ¤èĤ¤åĵģ":114386,"éĻ·åħ¥äºĨ":114387,"请æĤ¨":114388,"åŀ¢":114389,"æķĻèĤ²èµĦæºIJ":114390,"交æĺĵå¹³åı°":114391,"æŶè£ħ":114392,"ä¼łæŁĵçĹħ":114393,"æ¹ĸæ³Ĭ":114394,"èµĦ管":114395,"åݨå¸Ī":114396,"éĹľéį":114397,"éĹľéįµ":114398,"åĵĪåĵĪåĵĪ":114399,"çĽĹçªĥ":114400,"çĶľç¾İ":114401,"åºĦåĽŃ":114402,"缮åīįå·²ç»ı":114403,"è¾¹ä¸Ĭ":114404,"çģ«èĬ±":114405,"æĬ¥è®°èĢħ":114406,"æģĭæĥħ":114407,"ç´§åĩij":114408,"æ°´æµģ":114409,"è¿Ļæĺ¯æĪij们":114410,"æ³¥åľŁ":114411,"æĽ¾ä»»":114412,"æĸ¹è¨Ģ":114413,"åij¨åħŃ":114414,"åı·æ¥¼":114415,"ä¼ijåģĩ":114416,"误ä¼ļ":114417,"åĽ½åĢº":114418,"åīįå¤ķ":114419,"ä¸¤å¼ł":114420,"éĹ«":114421,"éŃĶ鬼":114422,"æĬĬæĮģ":114423,"èĬĤèĥ½çݯä¿Ŀ":114424,"æ¸ħæ´ģèĥ½æºIJ":114425,"èĤ¥æĸĻ":114426,"é«ĺé¢ij":114427,"å°±æľīäºĨ":114428,"交ä¼ļ":114429,"没éĴ±":114430,"éĽħæĢĿ":114431,"è¦ģåıĬæŶ":114432,"åŁ¹åħ»åѦçĶŁ":114433,"欣åĸľ":114434,"çĥŃæ°´åĻ¨":114435,"é¾Ļæ¹ĸ":114436,"äºĮ楼":114437,"æĸ°æµªè´¢ç»ı":114438,"æĸ°åĬ¨èĥ½":114439,"èµ£å·ŀ":114440,"æĭ³å¤´":114441,"æµģåIJij":114442,"ä¹Łæĺ¯å¾Ī":114443,"åıijåĶ®":114444,"ä¸ŃåIJ«æľī":114445,"åIJĵå¾Ĺ":114446,"å·¨æĺŁ":114447,"æĹłæīĢè°ĵ":114448,"æ¯ĽåŃĶ":114449,"åħ¬åħ±äº¤éĢļ":114450,"çĤİçĥŃ":114451,"èµ·èįī":114452,"åĬłçĽŁåķĨ":114453,"说ä¸įåĩº":114454,"大åѦæ¯ķä¸ļ":114455,"å·¥ä¸ļåĽŃ":114456,"éłĺåŁŁ":114457,"åºĨåħ¸":114458,"æµģ产":114459,"èģ²éŁ³":114460,"ä¼¼ä¹İæĺ¯":114461,"è´§æºIJ":114462,"æ·±åĪĩ":114463,"æ²»çĸĹæĸ¹æ³ķ":114464,"èµĦæºIJéħįç½®":114465,"網åıĭ":114466,"çĶ£":114467,"亥":114468,"èº²åľ¨":114469,"社ç§ij":114470,"è»Łé«Ķ":114471,"女è£ħ":114472,"æŃ¡è¿İ":114473,"综åIJĪå®ŀåĬĽ":114474,"æł¼å°ĩ":114475,"åħļåı²åŃ¦ä¹ł":114476,"æľĢåŁºæľ¬":114477,"æľĢåŁºæľ¬çļĦ":114478,"çľĭæľĽ":114479,"åıĹè´¿":114480,"ä¸įä»ħèĥ½":114481,"ä½ķå¿ħ":114482,"ä¸Ģ个å°ıæŶ":114483,"ç¾Į":114484,"æĭĽæĶ¶":114485,"çĤĴèĤ¡":114486,"æĿijå¹²éĥ¨":114487,"缸çĪ±":114488,"æ½ľèĥ½":114489,"ä¹į":114490,"æĹ¶è¾°":114491,"欣æħ°":114492,"éĵ¶è¡Įä¸ļ":114493,"çĭŃçªĦ":114494,"éĩįçĤ¹é¢ĨåŁŁ":114495,"çİ°å®ŀçĶŁæ´»":114496,"éĮ¯èª¤":114497,"æĸ°è§Ħ":114498,"滥çĶ¨":114499,"æŶä¸į":114500,"æŶä¸įæŶ":114501,"帳èĻŁ":114502,"ç¨Ģ缺":114503,"åIJij举":114504,"ä¿Ŀåģ¥åĵģ":114505,"çıŃéķ¿":114506,"äºĴåĭķ":114507,"笼罩":114508,"æ½Ľ":114509,"æļĸå¿ĥ":114510,"è½°çĤ¸":114511,"åºĨ幸":114512,"è²Įä¼¼":114513,"æĵº":114514,"èĢIJ磨":114515,"ä¸ĵä¸ļ人士":114516,"ä¸ĢèĪ¬éĥ½æĺ¯":114517,"æ¼³å·ŀ":114518,"åħ¨èĩªåĬ¨":114519,"å½ķçĶ¨":114520,"大è·Į":114521,"æľīæķĪæĢ§":114522,"èĩªåĭķ":114523,"ä¸ī个æĸ¹éĿ¢":114524,"港åĮº":114525,"信貸":114526,"éĢļè¯Ŀ":114527,"é«ĺ涨":114528,"æ³Ħæ¼ı":114529,"éħįä¸Ĭ":114530,"åħļå·¥å§Ķ":114531,"被认为":114532,"被认为æĺ¯":114533,"ä¸įä¼ļåĨį":114534,"è°ĥåīĤ":114535,"åıĤèĤ¡":114536,"èĦ±åıij":114537,"å¿łå®ŀ":114538,"åĨħåĪĨæ³Į":114539,"ç¹ģå¿Ļ":114540,"åıĮåĪĽ":114541,"é©»æĿij":114542,"åĪĴç®Ĺ":114543,"éģİä¾Ĩ":114544,"åľ£ç»ı":114545,"èıľé¸Ł":114546,"æĭ¼å¤ļå¤ļ":114547,"ä¸ŃåĽ½æ±½è½¦":114548,"çĥŁèįī":114549,"缴æµģ":114550,"äºĨä¸Ģåı£æ°Ķ":114551,"ä½İæĪIJæľ¬":114552,"æī¾åĽŀ":114553,"èĩªåįij":114554,"總æĺ¯":114555,"æĸĩåĮĸåĪĽæĦı":114556,"天河":114557,"樱æ¡ĥ":114558,"éªijåħµ":114559,"éĩĮéĿ¢æľī":114560,"çİ®":114561,"èĥ½æī¾åĪ°":114562,"éĢĥè·ij":114563,"åĪĩå°Ķ":114564,"åĪĩå°Ķ西":114565,"以ä¸ĭæĺ¯":114566,"å²³éĺ³":114567,"çļĦæ¦Ĥçİĩ":114568,"æĬµåĪ¶":114569,"å¸ĪäºĭåĬ¡":114570,"å¸ĪäºĭåĬ¡æīĢ":114571,"åĩĨæŶ":114572,"屬æĸ¼":114573,"订è´Ń":114574,"åįłæį®äºĨ":114575,"ä¸ŃéĢĶ":114576,"å°ĭ":114577,"é»ij马":114578,"åİ¿åħ¬å®īå±Ģ":114579,"ä¸ĥæľĪ":114580,"èī²ç´ł":114581,"å¿ĥèĦıçĹħ":114582,"æŶéĻIJ":114583,"æ¯įåħ¬åı¸":114584,"å¹ķåIJİ":114585,"ä¸Ĭæ¦ľ":114586,"åĢ¾åIJijäºİ":114587,"纸ä¸Ĭ":114588,"æ¡ĵ":114589,"éĽĨä½ĵç»ıæµİ":114590,"æĥħå¢ĥ":114591,"è¦ģåģļåĪ°":114592,"ç©į極":114593,"åıªæĢķ":114594,"æ¹ĺ西":114595,"çļ±çº¹":114596,"åħ¨åľĭ":114597,"çĦ¡è«ĸ":114598,"好æĦŁ":114599,"åįķä»·":114600,"è¿Ľç¨ĭä¸Ń":114601,"æĺĨä»ij":114602,"åĪĽå®¢":114603,"åħħæĸ¥":114604,"åħĪæĬĬ":114605,"该æĢİä¹ĪåĬŀ":114606,"åĵģå¾·":114607,"åħ¨éĿ¢åıijå±ķ":114608,"è¨ĪåĬĥ":114609,"æĢ»å·¥ä¼ļ":114610,"ä½Ľå±±å¸Ĥ":114611,"æĬĹè¡¡":114612,"å¼Ģåľº":114613,"éĴ±å¸ģ":114614,"åıĭ们":114615,"å«īå¦Ĵ":114616,"ç´¢èµĶ":114617,"è®ĬåĮĸ":114618,"æĮ¤åİĭ":114619,"æĮijè¡ħ":114620,"çŃīä¸Ģæī¹":114621,"æĿ¨æ¬¢":114622,"ä¸ĵ家åѦèĢħ":114623,"èĥ½è¾¾åĪ°":114624,"èµ°è¿ij":114625,"è´«åĽ°åľ°åĮº":114626,"éĻIJæľŁ":114627,"ä¸į平衡":114628,"åĽ½åĨħå¸Ĥåľº":114629,"èµĽåľº":114630,"éħįèµĦ":114631,"è¦ģèĢĥèĻij":114632,"ä¸ĩåı°":114633,"æľĪæľ«":114634,"éĶ¥":114635,"åŃ«":114636,"æݥ触åĪ°":114637,"åĩºäº§":114638,"æķĻåѸ":114639,"ä½ľå¼Ĭ":114640,"çļĦæľĢåIJİä¸Ģ":114641,"ä¿ĥæĪIJ":114642,"åIJ¸åıĸ":114643,"æ½ľèīĩ":114644,"被éªĹ":114645,"è¾ĵäºĨ":114646,"çĭIJçĭ¸":114647,"åįĩéĻį":114648,"è¿ĻäºĽä¸ľè¥¿":114649,"æĬķèµĦåŁºéĩij":114650,"çĶŁçī©åѦ":114651,"ç½ij绾èIJ¥éĶĢ":114652,"åIJijè®°èĢħ":114653,"èįīåľ°":114654,"æĢ¯":114655,"æľįåĬ¡èĥ½åĬĽ":114656,"éĥģéĹ·":114657,"åįķåĵģ":114658,"å¾Ĺ罪":114659,"æĺĵäºİ":114660,"个å¤ļå°ıæŶ":114661,"éĩįä»»":114662,"ä¸Ĭå®ĺ":114663,"æľ¬éĩij":114664,"çı¾åł´":114665,"溢价":114666,"æĺŁè¾°":114667,"æ´»åĬ¨çİ°åľº":114668,"丹麦":114669,"å¸Ŀçİĭ":114670,"æŁ¥æĺİ":114671,"åŃĺåľ¨äºİ":114672,"é¦Ļæ°´":114673,"æĬ½æ£Ģ":114674,"å®ŀéĻħä¸Ĭæĺ¯":114675,"æĸ°å¾ģç¨ĭ":114676,"è´¢åĬ¡ç®¡çIJĨ":114677,"æİĽ":114678,"åĨľåİĨ":114679,"éĥ½èĥ½å¤Ł":114680,"éĤ¯éĥ¸":114681,"çľŁå¯¦":114682,"ç»Ĭ":114683,"åĨµä¸Ķ":114684,"置身":114685,"ç¥Ī祷":114686,"çĿģå¼Ģ":114687,"æĮĩçĤ¹":114688,"å¼Ģæľº":114689,"西å®ģ":114690,"åĮĹ约":114691,"积水":114692,"åĩºåĬ¨":114693,"åıijå±ķ模å¼ı":114694,"转æĬĺ":114695,"èĢĥçĤ¹":114696,"æľīç½ijåıĭ":114697,"è´«åĽ°æĿij":114698,"æĪijä»¬çŁ¥éģĵ":114699,"åĪĨéĶĢ":114700,"å±±èĦī":114701,"æ¯ĶæĭŁ":114702,"ä¼°ç®Ĺ":114703,"æĶ¹å»º":114704,"壮è§Ĥ":114705,"ç§īæĮģ":114706,"æıª":114707,"ç¦Ģ":114708,"åĮĸåѦåĵģ":114709,"ä¸ŃåĽ½åĪ¶éĢł":114710,"ä¸Ģæŀ¶":114711,"æīįè¡Į":114712,"æĭĽå¾ħ":114713,"åıĺæį¢":114714,"åīį线":114715,"幸好":114716,"è¿Ļæł·çļĦè¯Ŀ":114717,"å¿ĥè¡Ģ管":114718,"æĢ§çĸ¾çĹħ":114719,"åħ¨èĥ½":114720,"åĪij侦":114721,"ä¿¡æģ¯åıijå¸ĥ":114722,"æĺ¾çĦ¶æĺ¯":114723,"éĿĴéĵľ":114724,"åIJĥä»Ģä¹Ī":114725,"çĶµä»·":114726,"æ³ķå¾ĭè§Ħå®ļ":114727,"çħ²":114728,"çĵ·åĻ¨":114729,"èĤīç±»":114730,"æıĴåħ¥":114731,"åĹľ":114732,"è¿Łè¿Ł":114733,"ä¸ĢçĤ¹éĥ½ä¸į":114734,"è¿ĺåĮħæĭ¬":114735,"èĪįä¸įå¾Ĺ":114736,"æłĩå¿ĹæĢ§":114737,"æľĪ以æĿ¥":114738,"ç³ĸæŀľ":114739,"éĥ½åºĶ该":114740,"çݯå¢ĥåį«çĶŁ":114741,"èĪªè¡Į":114742,"éĥijéĩį":114743,"ç½ijæĬķ":114744,"åįģä½³":114745,"ç§ģä¸ĭ":114746,"æļ´è·Į":114747,"åĬłå¿«åıijå±ķ":114748,"产åĵģçłĶåıij":114749,"åĪĽéĢłåĩº":114750,"æĢ»è§īå¾Ĺ":114751,"åºķçĽĺ":114752,"èķĬ":114753,"åĩºå¸Ńä¼ļè®®":114754,"主æĿ¿":114755,"æĹ¥æĻļéĹ´":114756,"å®ĺæĸ¹å¾®åįļ":114757,"å¼ķçĶ¨æĹ¥æľŁ":114758,"åī¯æķĻæİĪ":114759,"çĶµåŃIJ产åĵģ":114760,"è¡°éĢĢ":114761,"çķĻåŃĺ":114762,"çģ«åĬĽ":114763,"çĴ§":114764,"çļĤ":114765,"åħ¼åħ·":114766,"éĩįè¿Ķ":114767,"é¢Ĩçķ¥":114768,"åĪĩéĻ¤":114769,"åĨįçĶŁèĥ½æºIJ":114770,"å®ŀåľ¨å¤ª":114771,"çIJĨ论ä¸Ĭ":114772,"ä¸īå±Ĥ":114773,"ä¸ĸçķĮåIJĦåĽ½":114774,"å®ľæĺĮ":114775,"èĢ³è¾¹":114776,"宽æķŀ":114777,"æ±īæĹı":114778,"çĻ½çĻ½":114779,"è¿ĻéĩĮéĿ¢":114780,"çĶŁæ´»ä¹łæĥ¯":114781,"èµŀèµı":114782,"çĶ·å£«":114783,"ä¸Ńä¿Ħ":114784,"车祸":114785,"åīĤéĩı":114786,"éĻ¤åİ»":114787,"左边":114788,"çŃijçī¢":114789,"çīĽå¸Ĥ":114790,"家åĬ¡":114791,"åķĥ":114792,"ç½®æį¢":114793,"ç´«å¤ĸ":114794,"ç´«å¤ĸ线":114795,"å¾Ģåīį":114796,"åĬĽåѦ":114797,"ç´§è·Ł":114798,"缮çļĦåľ¨äºİ":114799,"ç»®":114800,"ç¥Ĥ":114801,"宣è¨Ģ":114802,"äºĮæ°§åĮĸ":114803,"äºĮæ°§åĮĸ碳":114804,"æĹłç¼ĺ":114805,"ç²¾éĢļ":114806,"診":114807,"å¼ķåıijäºĨ":114808,"æľĢåħĪ":114809,"派驻":114810,"ä¸įå¿į":114811,"æĪijçĪ¸":114812,"å¹´ä¸ĭåįĬå¹´":114813,"æ·ĭå·´":114814,"没éĹ®é¢ĺ":114815,"åºĹåĨħ":114816,"è·ŁæĪij说":114817,"çĶŁäº§çĶŁæ´»":114818,"è§ĤæľĽ":114819,"æ¸į":114820,"被æī§è¡Į":114821,"被æī§è¡Į人":114822,"èĪľ":114823,"æݺ":114824,"ä¸Ģç§Ĵ":114825,"èįīåĿª":114826,"åij¼åĴĮ":114827,"åij¼åĴĮ浩":114828,"åij¼åĴĮ浩çī¹":114829,"人æ°ijéĵ¶è¡Į":114830,"çĦķåıij":114831,"è¯ģåĪ¸äº¤æĺĵ":114832,"çķĶ":114833,"æľºèĥ½":114834,"妾":114835,"æĻļå¹´":114836,"å·¥åķĨèģĶ":114837,"åİŁåŀĭ":114838,"è§Ĵ度çľĭ":114839,"æĬ¥ç¤¾":114840,"è¯įæĿ¡":114841,"躲éģ¿":114842,"éĩįåIJ¯":114843,"å¤ķéĺ³":114844,"èĤ¡æĿĥ转让":114845,"åľ¨ä¸Ģ":114846,"åľ¨ä¸ĢæĹģ":114847,"社ä¼ļåĮĸ":114848,"åıijå±ķåİĨç¨ĭ":114849,"æĭĸæ¬ł":114850,"使èĢħ":114851,"ä¸İåIJ¦":114852,"æĸ°å±ĢéĿ¢":114853,"ä»Ĭ天æĪij们":114854,"é½IJèģļ":114855,"对æĪij说":114856,"éĢĴ交":114857,"æľªæĽ¾":114858,"èİĬ":114859,"éĸī":114860,"亲æīĭ":114861,"è§ĴéĢIJ":114862,"æľīé»ŀ":114863,"ç¨İçİĩ":114864,"ä½İ声":114865,"é»ĺå¥ij":114866,"æĻ®æ³ķ":114867,"大ä¸ĵ":114868,"第äºĮ大":114869,"ä½ıåĿĢ":114870,"æĶ¾è¿Ľ":114871,"äºĮæĪĺ":114872,"亲身":114873,"åĽºåĮĸ":114874,"ä¸ĭ乡":114875,"åħ³éĶ®æĬĢæľ¯":114876,"åĽŀæĥ³":114877,"æĬ¥åĪĬ":114878,"æ¶ĤæĬ¹":114879,"èĹıçĿĢ":114880,"ç¥ĿæĦ¿":114881,"åįĩ温":114882,"çĶļèĩ³è¿ŀ":114883,"åħ¬åħĥåīį":114884,"ç¾İæĸ¹":114885,"è¯ļå®ŀ":114886,"æĹłåģ¿":114887,"åīµæ¥Ń":114888,"å°ıå¿ĥ翼":114889,"å°ıå¿ĥ翼翼":114890,"两æīĭ":114891,"温馨æıIJ示":114892,"ä»¿çľŁ":114893,"æĥ¶":114894,"èĥ¡åŃIJ":114895,"å·¥ä½ľç«Ļ":114896,"硬çĽĺ":114897,"ç«¿":114898,"åĤ³éĢģ":114899,"åħ¨æł¡":114900,"é²ľæ´»":114901,"çĴĢçĴ¨":114902,"ç»ĵå°¾":114903,"æį¢æĿ¥":114904,"æĪĢ":114905,"ä½İä½į":114906,"ä¸ĩåħĥ以ä¸Ĭ":114907,"åĬłåĪĨ":114908,"æݨä»ĭä¼ļ":114909,"çIJĨèµĶ":114910,"å¾·å°Ķ":114911,"æĬĹè®®":114912,"æ´¼":114913,"åĸ§":114914,"åŁİéĻħ":114915,"å¾Īæ£Ĵ":114916,"人æŃ»äº¡":114917,"ä¼ļå±ķä¸Ńå¿ĥ":114918,"äºĴèģĶäºĴéĢļ":114919,"èĸĦèĨľ":114920,"éĩįé»ŀ":114921,"ç¦ģæ¯Ĵ":114922,"åĨ·ç¬ij":114923,"大家åı¯ä»¥":114924,"é¦ĸ缸":114925,"è¿ijè·Ŀ离":114926,"æµ®çİ°":114927,"ç§ĺè¯Ģ":114928,"èµ·é£ŀ":114929,"æIJ¶":114930,"羣åģĩ":114931,"æģķ":114932,"å°ıåºĹ":114933,"æ°ijçľ¾":114934,"åıijå¸ĥåħ¬åijĬ":114935,"侧éĩį":114936,"å¾ĺå¾Ĭ":114937,"æĢĶ":114938,"æªIJ":114939,"æķ°çĽ®":114940,"åī¯ç§ĺ书éķ¿":114941,"两åı¥":114942,"éļIJçŀĴ":114943,"åıĮåıĮ":114944,"æīĭæĦŁ":114945,"èij¡äº¬":114946,"éģĹå¿ĺ":114947,"鬥":114948,"è¿Ļä¸ªåľ°æĸ¹":114949,"说çļĦè¯Ŀ":114950,"å·¡åĽŀ":114951,"è¿Ŀç«ł":114952,"æī¾å·¥ä½ľ":114953,"æĶ¯çIJĥéĺŁ":114954,"裡éĿ¢":114955,"æĺ¾ç¤ºåĩº":114956,"èĩ³å°Ĭ":114957,"两级":114958,"åīį段æŶéĹ´":114959,"çĺ¦èº«":114960,"èĤ¢ä½ĵ":114961,"æ¯į親":114962,"æīĭç»Ńè´¹":114963,"汽车è¡Įä¸ļ":114964,"æİ©çĽĸ":114965,"æݧèĤ¡éĽĨåĽ¢":114966,"åı£å¾Ħ":114967,"æĶ¿çŃĸæݪæĸ½":114968,"海绵":114969,"åħ¨éķĩ":114970,"äºĭåħ³":114971,"å¸Ńæī§è¡Į":114972,"å¸Ńæī§è¡Įå®ĺ":114973,"éĤ£æ¬¡":114974,"åı¯èĥ½åĩºçİ°":114975,"ä¸Ńå¿ĥåŁİå¸Ĥ":114976,"翻身":114977,"ä¹Łç®Ĺ":114978,"ä¾µçķ¥":114979,"åĸĩåıŃ":114980,"æ¯ı次éĥ½":114981,"è§ħ":114982,"éĻ¢éĻ¢éķ¿":114983,"å§ĭäºİ":114984,"èѦåĬ¡":114985,"èį¯æĿIJ":114986,"å±łæĿĢ":114987,"æľ¬èº«å°±":114988,"éļıæŶéļı":114989,"éļıæŶéļıåľ°":114990,"åĶ®åįĸ":114991,"æĹłäººé©¾é©¶":114992,"é¢ħ":114993,"åĵģ質":114994,"åĺ²ç¬ij":114995,"è·ijåİ»":114996,"åħĭéĩĮæĸ¯":114997,"çķ¸å½¢":114998,"修饰":114999,"磩éĺµ":115000,"éŁ³ä¹IJä¼ļ":115001,"æŁ³å·ŀ":115002,"齡":115003,"ä¼ļè°Ī":115004,"æŃ£çīĪ":115005,"ä¹ŁåIJĮæł·":115006,"æļ§æĺ§":115007,"è¡ĮæĶ¿éĥ¨éŨ":115008,"ä¹ĸä¹ĸ":115009,"èĤ¤èī²":115010,"æŶ任":115011,"羣åĪĩ":115012,"æľĪä¸ĭ":115013,"æľĪä¸ĭæŬ":115014,"举æĸ¹è´¢å¯Į":115015,"è£ħä¿®åħ¬åı¸":115016,"éĢĢè¿ĺ":115017,"åĭĺå¯Ł":115018,"åĵ¥ä¼¦":115019,"åĵ¥ä¼¦æ¯Ķäºļ":115020,"çĭ¬ä¸Ģ":115021,"çĭ¬ä¸ĢæĹł":115022,"çĭ¬ä¸ĢæĹłäºĮ":115023,"è°ĥåij³":115024,"åİĭè¿«":115025,"åħ¨çIJĥæľĢ大":115026,"åī¯æł¡éķ¿":115027,"æĽ´ä½İ":115028,"åĪĨéĴŁåIJİ":115029,"åĽŀä¾Ĩ":115030,"åĪ¶åīĤ":115031,"åijĬè¯ī大家":115032,"çĤ¹éĴŁ":115033,"åįģä¸īå±Ĭ":115034,"åij¨åĽĽ":115035,"è¿Ļæł·ä¸Ģ":115036,"è¿Ļæł·ä¸ĢæĿ¥":115037,"èĭŁ":115038,"æľĽåİ»":115039,"æĪIJè¯Ń":115040,"å½ĵåį³":115041,"ç¬ij声":115042,"ä¹ĭåĬ¿":115043,"åĪijäºĭæ¡Ī件":115044,"æĮĤçĿĢ":115045,"ä½ķç§į":115046,"å°ı游æĪı":115047,"åĽ½å®¶æĪĺçķ¥":115048,"åĨ·åĨ·":115049,"å®ľå®¾":115050,"æIJºç¨ĭ":115051,"è¶ĭäºİ":115052,"åıįçľģ":115053,"常说":115054,"ä¸ĩæĪ·":115055,"åĥµå°¸":115056,"åįĥä¸ĩåĪ«":115057,"åıijçİ°éĹ®é¢ĺ":115058,"åı¯çŁ¥":115059,"éŨæĪ·ç½ijç«Ļ":115060,"åģ¥åº·äº§ä¸ļ":115061,"åı³è¾¹":115062,"æµ·è¿IJ":115063,"è¿ijä¹İ":115064,"åĮ»æ²»":115065,"æĢ»ç®Ĺ":115066,"ä¸ĢåĪĨéĴŁ":115067,"æĭ§":115068,"ä¹Łæľīä¸ĢäºĽ":115069,"ä¾ĽçĶµåħ¬åı¸":115070,"å»īä»·":115071,"帮ä»ĸ":115072,"æŃ¤æ¬¡æ´»åĬ¨":115073,"åıªèĥ½è¯´":115074,"èĬĭ":115075,"çīĩ段":115076,"åŃĺåľ¨éĹ®é¢ĺ":115077,"ä½łä¼ļåıijçİ°":115078,"è½®å»ĵ":115079,"ç½ijéĢļ":115080,"æ»¨æ±Ł":115081,"æİĪä¿¡":115082,"é»İæĺİ":115083,"ä¸įå±ŀäºİ":115084,"约åįł":115085,"éķ¿æ²Ļå¸Ĥ":115086,"èĥļèĥİ":115087,"åħĥ件":115088,"éĻĨåĨĽ":115089,"購買":115090,"æĮĩæľĽ":115091,"å®ŀä¹łçĶŁ":115092,"çī¹çĤ¹æĺ¯":115093,"çıłæ±Ł":115094,"çľĭä¸įåĩº":115095,"ä¸įè§ģäºĨ":115096,"ç¼ī":115097,"éĺµèIJ¥":115098,"åĶIJæľĿ":115099,"没å¿ħè¦ģ":115100,"åĽ½åľŁèµĦæºIJ":115101,"ç»ıæµİåŃ¦å®¶":115102,"åIJĪèĤ¥å¸Ĥ":115103,"çIJ¢ç£¨":115104,"ç¡®åĪĩ":115105,"åŁİå¸Ĥåıijå±ķ":115106,"çŃ·åŃIJ":115107,"人æ°ijæľįåĬ¡":115108,"满åĪĨ":115109,"è¿·ä¿¡":115110,"ä½ľèĢħæľ¬äºº":115111,"æĸĩç«łæĿ¥æºIJ":115112,"ç«Ļç«ĭ":115113,"æŀĦæĪIJäºĨ":115114,"è¾Ľåĭ¤":115115,"è¶ħ强":115116,"éĶļ":115117,"åīįä¸īåŃ£åº¦":115118,"å°±è§īå¾Ĺ":115119,"å´ĩé«ĺ":115120,"è¶Ĭä¾Ĩ":115121,"è¶Ĭä¾Ĩè¶Ĭ":115122,"å¸ĤåľºèIJ¥éĶĢ":115123,"综åIJĪç´łè´¨":115124,"åŃļ":115125,"侮辱":115126,"äºĮåŃĹ":115127,"å·¥ä½ľä»»åĬ¡":115128,"åı²ä¸ĬæľĢ":115129,"æľĢä¼ĺ":115130,"åIJ©åĴIJ":115131,"表çĻ½":115132,"èİ«åIJį":115133,"èİ«åIJįåħ¶":115134,"èİ«åIJįåħ¶å¦Ļ":115135,"å¹£":115136,"åIJĮå¿Ĺ们":115137,"建设çĶ¨åľ°":115138,"åĦĢ":115139,"éħįåģ¶":115140,"弩":115141,"åĶ±çīĩ":115142,"æīĭèĦļ":115143,"åħ¼ä»»":115144,"åģľæĶ¾":115145,"æŃ£å®Ĺ":115146,"æĸ°åĨľæĿij":115147,"åĤ¬çĶŁ":115148,"æīĢåŃ¦æł¡":115149,"å¿µä½Ľ":115150,"åĶ¤éĨĴ":115151,"åħ±åĪĽ":115152,"æĭīä¸ģ":115153,"èĥĮçĿĢ":115154,"çĶŁæĢģä¿ĿæĬ¤":115155,"åı£å¤´":115156,"æĸ¹åIJijçĽĺ":115157,"調æķ´":115158,"æĭĽèģĺä¿¡æģ¯":115159,"åħ¶ä»ĸåĽ½å®¶":115160,"ç®Ģæĺĵ":115161,"åĮ¿åIJį":115162,"è¯Ħæµĭ":115163,"æĺ¯ä¸Ģ座":115164,"çīµæīĭ":115165,"足迹":115166,"çIJĨ解åĴĮ":115167,"æľĢåıĹ":115168,"å¿ĥè·³":115169,"çĪ¶è¦ª":115170,"éĿŀ常åĸľæ¬¢":115171,"èĭ¦éļ¾":115172,"æĬĢå¸Ī":115173,"æ°ijæĦı":115174,"æĪĺåĽ½":115175,"æĽ¿è¡¥":115176,"津贴":115177,"ä¸ŃåĽ½ä¼łç»Ł":115178,"åIJĦè¡Į":115179,"åIJĦè¡ĮåIJĦ":115180,"åIJĦè¡ĮåIJĦä¸ļ":115181,"第äºĶå±Ĭ":115182,"èį·èĬ±":115183,"æĦıèŃĺ":115184,"票价":115185,"åĪĨæµģ":115186,"æĿİçĻ½":115187,"æ±ŁåĮĹ":115188,"æİĴæĸ¥":115189,"ä½ĵéĩı":115190,"åĮħåIJ«äºĨ":115191,"åĪĺæŁIJ":115192,"çİ°å¦Ĥä»Ĭ":115193,"å·¥èīºåĵģ":115194,"è¿Ļç§įæĸ¹æ³ķ":115195,"åĬŀåħ¬æ¥¼":115196,"çĶµå·¥":115197,"çħĻ":115198,"åį¡çīĩ":115199,"å¹´å¹´åºķ":115200,"ä¸ĵ项èµĦéĩij":115201,"åĮ»ç§ij":115202,"åĮ»ç§ij大åѦ":115203,"åĽŀ头çľĭ":115204,"ä¸įå±ij":115205,"èĩªé©¾":115206,"没æĶ¶":115207,"æīĵçĮİ":115208,"èĦ¸éĥ¨":115209,"åıĥèĢĥ":115210,"å°Ĩ士":115211,"è´«åĽ°äººåı£":115212,"çIJĨæĥ³ä¿¡å¿µ":115213,"é£İå°ļ":115214,"人æīįéĺŁä¼į":115215,"çij¾":115216,"æĿ¥è¿ĻéĩĮ":115217,"æ´Ĺ涤":115218,"å¹´èĸª":115219,"èĭįçĻ½":115220,"ä¸ĩäºĭ":115221,"è¯¾æľ¬":115222,"åºĵéĩĮ":115223,"çī¹æ´¾":115224,"çī¹æ´¾åijĺ":115225,"èµŀç¾İ":115226,"ç©¿æĪ´":115227,"è£½ä½ľ":115228,"èµŀæĪIJ":115229,"ä¸Ģ侧":115230,"å½ĵåľ°äºº":115231,"æĭİ":115232,"纸质":115233,"ä½Ļ个":115234,"éĶĤçĶµæ±ł":115235,"æľºåŀĭ":115236,"éĻ¢éĻ¢å£«":115237,"åģļå·¥":115238,"å¼łè´´":115239,"ç¥Ľæĸij":115240,"æ®ĸæ°ij":115241,"å¥ij约":115242,"æ¹ĺæ½Ń":115243,"æIJĸ":115244,"åŃĺè´§":115245,"交éĢļ大åѦ":115246,"è¶ģçĿĢ":115247,"æĸĩçī©ä¿ĿæĬ¤":115248,"å¤ĩæĪĺ":115249,"éĩĩ纳":115250,"åįĬæľĪ":115251,"æľĢåħ³éĶ®":115252,"æľĢåħ³éĶ®çļĦ":115253,"æİ¥éĢģ":115254,"æĶ¶åī²":115255,"åıįåĢĴ":115256,"çĥĽ":115257,"æ½Ķ":115258,"ä¼Łå¤§å¤įåħ´":115259,"çļĦè¯Ŀè¯Ń":115260,"容å¿į":115261,"å®ļéĩı":115262,"æķĹ":115263,"åĵģçīĮ形象":115264,"æīŃ转":115265,"åĽ½å®¶éĩįçĤ¹":115266,"èĨĿçĽĸ":115267,"ä¸Ģ楼":115268,"大éĻ¸":115269,"éĤªæģ¶":115270,"åĽŀåij³":115271,"çĮ¿":115272,"çĿ¡åīį":115273,"æĹłè¾ľ":115274,"çĹħæ¯ĴæĦŁæŁĵ":115275,"æľºæ¢°åĮĸ":115276,"çĤ¹äº®":115277,"溶解":115278,"åĩłä¹İæīĢæľī":115279,"è·ijéģĵ":115280,"çĶµè§Ĩæľº":115281,"åı¨":115282,"æijĩäºĨ":115283,"æijĩäºĨæijĩ头":115284,"èĩªè´Ł":115285,"综åIJĪåĪ©çĶ¨":115286,"èĩªå¦Ĥ":115287,"åİŁä¾Ĩ":115288,"ä¹Łä¸įæĥ³":115289,"èĬĤ课":115290,"è¿ĩåī©":115291,"çĶ²çĬ¶":115292,"çĶ²çĬ¶èħº":115293,"æĸ°ä¸ĸ纪":115294,"èĩªä¸»åĵģçīĮ":115295,"é«ĺå±Ĥ次":115296,"ä¸Ģè§Ĵ":115297,"è¡Įäºĭ":115298,"ç¥ĸåħĪ":115299,"å©ļåIJİ":115300,"éĹ´éļĻ":115301,"ç¼ĿéļĻ":115302,"è¿ĻæĶ¯":115303,"ä¸įæĸŃåĪĽæĸ°":115304,"å¾®åŀĭ":115305,"æĽĻåħī":115306,"享çĶ¨":115307,"ä¸ŃåĽ½ç§»åĬ¨":115308,"éĹŃçݯ":115309,"æī§æĦı":115310,"åıijå±ķæł¼å±Ģ":115311,"æł¸å¿ĥåĮº":115312,"éªļæī°":115313,"åħļåĴĮåĽ½å®¶":115314,"ä¸ŃåĽ½æĶ¿åºľ":115315,"帶èijĹ":115316,"ä¸ĩåįĥçĵ¦":115317,"åħ©äºº":115318,"äºİæĺ¯æĪij":115319,"åĽºä½ĵ":115320,"çªģå¦Ĥ":115321,"çªģå¦Ĥåħ¶":115322,"çªģå¦Ĥåħ¶æĿ¥":115323,"éĩĮç¨ĭç¢ij":115324,"çĪ±ç¾İ":115325,"æŁ¥éªĮ":115326,"åıĮèµ¢":115327,"éĹªåħī":115328,"楼å®ĩ":115329,"æĻı":115330,"æľīè¶³å¤ŁçļĦ":115331,"æŁĶæĢ§":115332,"ä¿¡æģ¯å®īåħ¨":115333,"管线":115334,"并ä¸įä¼ļ":115335,"åĻ¨ä»¶":115336,"ä½łåºĶ该":115337,"çĿĢå®ŀ":115338,"æĺİæ¸ħ":115339,"æĬĹçĶŁç´ł":115340,"æīĵæŃ»":115341,"å®Įåħ¨ä¸įåIJĮ":115342,"èĬ±æ¤Ĵ":115343,"æĶ¾å®½":115344,"ä½İ端":115345,"åĽĽèĤ¢":115346,"åĮĹäº¬èµĽè½¦":115347,"éĽĨå¸Ĥ":115348,"æľªå©ļ":115349,"大å¹ħæıIJåįĩ":115350,"建çŃij设计":115351,"çĭ¬æľīçļĦ":115352,"æİ¢éĻ©":115353,"æ²³æµģåŁŁ":115354,"æħķ容":115355,"被çĽĹ":115356,"åĵºä¹³":115357,"èıģ":115358,"æĥ¬æĦı":115359,"è¶ĬæĿ¥è¶Ĭ好":115360,"广大群ä¼Ĺ":115361,"å¾·èĤ²":115362,"å¸Ĥåľºä»·æł¼":115363,"奥巴":115364,"奥巴马":115365,"èĬĤ缮ä¸Ń":115366,"两款":115367,"ä¸ĩä½Ļåħĥ":115368,"ç»´å°Ķ":115369,"çĶŁçī©ç§ijæĬĢ":115370,"åIJ¬èµ·æĿ¥":115371,"çłļ":115372,"æĭŁå®ļ":115373,"æ²¹çĶ°":115374,"声èªī":115375,"建çŃijä¸ļ":115376,"éĻIJè´Ń":115377,"çīĩåŃIJ":115378,"çķľç¦½":115379,"ç½ijé¦ĸ页":115380,"ä¼ĹçŃ¹":115381,"æĴŀåĩ»":115382,"åīįä¸įä¹ħ":115383,"åīįä¸ĸ":115384,"åĽĽä¸ªæĦıè¯Ĩ":115385,"æµĭç»ĺ":115386,"éĺ²ç©º":115387,"漫éķ¿çļĦ":115388,"æ²IJæµ´":115389,"æ¯Ķè¾ĥç®Ģåįķ":115390,"æµĭå®ļ":115391,"åĽŀè°ĥ":115392,"让人们":115393,"èĴĭä»ĭ":115394,"èĴĭä»ĭçŁ³":115395,"ç»ĵæĻ¶":115396,"å¢ŀæ·»äºĨ":115397,"æĿ¡è¯Ħ论":115398,"åī¯ä¼ļéķ¿":115399,"ä½ıæīĢ":115400,"ç»ĻåĩºäºĨ":115401,"è°ĥéħį":115402,"æ²ĸ":115403,"æľīçĶ¨":115404,"æľīçĶ¨çļĦ":115405,"ä¸ĢæĿ¡é¾Ļ":115406,"éĩİå¤ĸ":115407,"ç¼ĺåĪĨ":115408,"æ°¸è¿ľä¸įä¼ļ":115409,"æŀľæłij":115410,"大åıijå¿«ä¸ī":115411,"麻éĨī":115412,"äºijéĽĨ":115413,"åİ»åĵªéĩĮ":115414,"åħ¥å¸Ĥ":115415,"ä»»æĢ§":115416,"建档":115417,"建档ç«ĭ":115418,"建档ç«ĭåį¡":115419,"ä¸Ģ棵":115420,"社åįĢ":115421,"çĽ¸ä¼´":115422,"åļ·":115423,"å¡«åħħ":115424,"ä¸ĢæĹı":115425,"ç¾ģ":115426,"åıĸè¯ģ":115427,"èĪ°éĺŁ":115428,"åİĤåĮº":115429,"è¡·å¿ĥ":115430,"åıijå±ķéĺ¶æ®µ":115431,"é«ĺ强度":115432,"åĹĵåŃIJ":115433,"é¢Ĩè¡Ķ":115434,"楼主":115435,"大èĴľ":115436,"æŀķ头":115437,"粮油":115438,"é»Ħçĵľ":115439,"æĵĴ":115440,"å°ıçĭĹ":115441,"æĶ¹éĿ©å§Ķ":115442,"åįģåĪĨéĴŁ":115443,"é²ľèī³":115444,"åħ³ç¾½":115445,"çĭĢæħĭ":115446,"å®ŀçĶ¨æĢ§":115447,"å°ijè§ģ":115448,"é£ŀæī¬":115449,"çĶ°éĩİ":115450,"æIJĤ":115451,"è¿Ļ个è¯į":115452,"åºĶæĢ¥é¢Ħæ¡Ī":115453,"è§Ĵ度æĿ¥çľĭ":115454,"æķ¬çķı":115455,"æ³ķå®Ŀ":115456,"åĸĦæĦı":115457,"æīĵæĸŃ":115458,"对åĨ³":115459,"çµķå°į":115460,"åĢŁæѤ":115461,"å¼ĢæºIJ":115462,"å°ı說":115463,"祺":115464,"å²ģ以ä¸ĭ":115465,"éĢĢå½¹åĨĽäºº":115466,"ä¸įä¹ħåīį":115467,"åĩºåİĤ":115468,"讽åĪº":115469,"æĿ¥çľĭçľĭåIJ§":115470,"éŃĶåħ½":115471,"çķĻä¸ĭæĿ¥":115472,"å±ħ室":115473,"åłħæĮģ":115474,"çľĭäºĨä¸Ģ":115475,"çľĭäºĨä¸Ģçľ¼":115476,"éĽĨåĽ¢æĹĹä¸ĭ":115477,"æĪĺæĪĺç»ĦåIJĪ":115478,"è®¤çľŁèIJ½å®ŀ":115479,"汽车产ä¸ļ":115480,"çī©çIJĨåѦ":115481,"æķµ":115482,"éĴĿ":115483,"åĽ¢éķ¿":115484,"ä¸įæĸŃæī©å¤§":115485,"èĤ©è´Ł":115486,"åıijå±ķ缮æłĩ":115487,"è³ĩéĩij":115488,"åīįç½®":115489,"ä¸ŃåĽ½åı¤ä»£":115490,"æŃ»åĪij":115491,"åħħåĪĨä½ĵçİ°":115492,"åħ³éŨ":115493,"ç¾İæĦŁ":115494,"æīĵåħ¥":115495,"æĬijéĥģçĹĩ":115496,"å°ijçĪ·":115497,"æłijæŀĿ":115498,"æ¶Īæģ¯ç§°":115499,"æ´Ľåħĭ":115500,"åį¯":115501,"è¿ĪåIJij":115502,"æݨåĭķ":115503,"ä»İä¸ļèĢħ":115504,"åݻ买":115505,"欢快":115506,"æĭ¥æĮ¤":115507,"马桶":115508,"æĬĬæݧ":115509,"æĶ¿åħļ":115510,"å¼łæī¬":115511,"客æłĪ":115512,"红æĺŁ":115513,"éĢģæĿ¥":115514,"åħ¨åŁŁæĹħ游":115515,"èĩªç§ģ":115516,"åįģäºĮæĿ¡":115517,"åı¹æģ¯":115518,"ä¸Ģèīĺ":115519,"ä¿Ŀè´¹":115520,"æĸ½å·¥çİ°åľº":115521,"æľī幸":115522,"ç»ŃèĪª":115523,"åı¯èĥ½æľĥ":115524,"èĥĮåıĽ":115525,"ä½£éĩij":115526,"ä¸īçŃīå¥ĸ":115527,"å¾Ī满æĦı":115528,"游æĪıåī¯æľ¬":115529,"群éĩĮ":115530,"æŀĦ件":115531,"åºıå¹ķ":115532,"太æ¹ĸ":115533,"æľ¨è´¨":115534,"æĻĭæ±Ł":115535,"çµĤæĸ¼":115536,"è·³è·ĥ":115537,"åĢºæĿĥ人":115538,"çŃī诸å¤ļ":115539,"æĶ¾åĩº":115540,"åħ³éĶ®æŶåĪ»":115541,"æĦŁæŁĵèĢħ":115542,"é£ŀè¡Įåijĺ":115543,"èĥĨåĽº":115544,"èĥĨåĽºéĨĩ":115545,"æĬ±æŃī":115546,"åij¨äºĮ":115547,"æĸ°æĹ¶æľŁ":115548,"åĨ·éĵ¾çī©æµģ":115549,"è¿Ļç§įæĸ¹å¼ı":115550,"该æĿij":115551,"åĽŀé¦Ī":115552,"åŁºçĿ£æķĻ":115553,"人åıĤ":115554,"æŀ¯çĩ¥":115555,"æī¹åıijå¸Ĥåľº":115556,"åħħåĪĨèĤ¯å®ļ":115557,"å¸ĤæĶ¿åįı":115558,"äºĭæ¥Ń":115559,"龸çİĭ":115560,"çĥŃæIJľ":115561,"åįģä¹Ŀ大":115562,"ä¼´æľī":115563,"ç¾İåĽ½æĢ»ç»Ł":115564,"åŁİå¸Ĥ管çIJĨ":115565,"ä¸ĭ令":115566,"èĥ¸åı£":115567,"åıªçŁ¥éģĵ":115568,"åij¨ä¸ī":115569,"çĶ¨æĪ¶":115570,"éŃ¯":115571,"å¿ĥè¡Ģ":115572,"带头人":115573,"åĮ»åĬ¡":115574,"åĮ»åĬ¡äººåijĺ":115575,"æݧåĪ¶åĻ¨":115576,"ä½ľåĵģåĨħ容":115577,"æĪĺåıĭ":115578,"åİĨå¹´":115579,"ä¸įåħĭ":115580,"ä¸įåħĭä¸įåıĬ":115581,"æĹ¥æŃ£å¼ı":115582,"è±IJå¯Į":115583,"ç¨İè´¹":115584,"æŶæķĪ":115585,"å±ķä½į":115586,"è¡¡éĺ³":115587,"æĪ¿è²¸":115588,"çĪĨ款":115589,"ä¹IJæĦı":115590,"çĶ·ä¸»":115591,"寬":115592,"æľĥèŃ°":115593,"ä¹ĭå¤ľ":115594,"åIJĮ樣":115595,"ä¸įè¦ģ太":115596,"ä¼Ĭæĸ¯":115597,"ä¼Ĭæĸ¯åħ°":115598,"åŁºæľ¬åİŁåĪĻ":115599,"åİ»æİī":115600,"ä½İä¿Ŀ":115601,"个交æĺĵ":115602,"个交æĺĵæĹ¥":115603,"èģĬèģĬ":115604,"åĽĽä½į":115605,"åħļç»ĦæĪIJåijĺ":115606,"主è¦ģä»İäºĭ":115607,"å½±éŁ³":115608,"åĨĴåĩº":115609,"åij¼åIJ¸éģĵ":115610,"è¾¾å°Ķ":115611,"æľ¨åľ°æĿ¿":115612,"诡å¼Ĥ":115613,"çģ¯åħ·":115614,"çģ«çĥ§":115615,"解èĦ±":115616,"æĦĪåıij":115617,"æ¹ĸå·ŀ":115618,"é£İä¿Ĺ":115619,"æĸ°å½¢åĬ¿":115620,"æĸ°å½¢åĬ¿ä¸ĭ":115621,"è²Ŀ":115622,"èĦĵ":115623,"åĬ¨åĬĽçĶµæ±ł":115624,"é£ŀèĪ¹":115625,"飧æĢ§":115626,"åĪ©çī©":115627,"åĪ©çī©æµ¦":115628,"ä¸į认è¯Ĩ":115629,"ç¼ĸç»ĩ":115630,"ä½ľåĿĬ":115631,"èģĮä¸ļæĬĢèĥ½":115632,"çľĭè¦ĭ":115633,"åĽ´æ£ĭ":115634,"æĺıè¿·":115635,"å½Ĵå±ŀäºİ":115636,"æĤ¬å´ĸ":115637,"éĨ«çĻĤ":115638,"å®ĭ代":115639,"åºĦæĿij":115640,"èĹķ":115641,"çĮĽçĦ¶":115642,"çĩĥæĸĻçĶµæ±ł":115643,"å®ŀä½ĵåºĹ":115644,"ä¸į足以":115645,"æĥħç·":115646,"æĥħç·Ĵ":115647,"å»ĬåĿĬ":115648,"çĶµåı°":115649,"åºĶåĬĽ":115650,"ä¸Ńå°ıåѦçĶŁ":115651,"èĥ¡åIJĮ":115652,"éī´åĪ«":115653,"åĨħç½®":115654,"乱象":115655,"æ¬ĬçĽĬ":115656,"å¼ĢæĶ¾å¼ı":115657,"åįļæĸĩ":115658,"讲课":115659,"çŃīåİŁåĽł":115660,"穷人":115661,"äº¤æĽ¿":115662,"æĬ¤çħ§":115663,"åıijå±ķæľºéģĩ":115664,"客åķĨ":115665,"åıįä¹ĭ":115666,"ç±³é¥Ń":115667,"并åıij":115668,"并åıijçĹĩ":115669,"æ±īåŃIJ":115670,"æŀľåĽŃ":115671,"对æĪijæĿ¥è¯´":115672,"åģıåIJij":115673,"æī¹ç¤º":115674,"读åIJİ":115675,"读åIJİæĦŁ":115676,"æĺİæĻº":115677,"åĽ´çĿĢ":115678,"åıį转":115679,"æĿ¨å¹Ĥ":115680,"ä¸ĵåįĸ":115681,"ä¸ĵåįĸåºĹ":115682,"åıĹéĻIJ":115683,"åºŁè¯Ŀ":115684,"æŀģå°ij":115685,"åįĪåIJİ":115686,"è¿Ľä¿®":115687,"åīĬåĩı":115688,"æľ¬ç§ijçĶŁ":115689,"ä¼ĺéĢī":115690,"åħīçħ§":115691,"åıĻäºĭ":115692,"åıĸæļĸ":115693,"åĮĹè·¯":115694,"æ¦ķ":115695,"èİĨçĶ°":115696,"楼å±Ĥ":115697,"天èĬ±":115698,"天èĬ±æĿ¿":115699,"çĤľ":115700,"å·²ç»ıæľīäºĨ":115701,"趾":115702,"çĶ³åįļ":115703,"çĶµéĺ»":115704,"åĬŁè¯¾":115705,"æŃ¥æŃ¥":115706,"éĤ£ä¹Ī容æĺĵ":115707,"æѤæĸĩ":115708,"ä½°":115709,"计è¾ĥ":115710,"çīĩéĿ¢":115711,"çĶµå½±éĻ¢":115712,"ä¸įåħ¬å¹³":115713,"ä¸īæľŁ":115714,"æĹħ游èµĦæºIJ":115715,"å¤ļç§įå½¢å¼ı":115716,"è£Ĥç¼Ŀ":115717,"åIJİæİĴ":115718,"硬度":115719,"åĽŀæļĸ":115720,"éģĵæķĻ":115721,"è´«è¡Ģ":115722,"æ¸ħé¦Ļ":115723,"伤çĹħ":115724,"æĦı義":115725,"çļĦç¼ĺ":115726,"çļĦç¼ĺæķħ":115727,"åºĦ严":115728,"åıªæĺ¯ä¸ºäºĨ":115729,"æīĵæĬĺ":115730,"以ä¾Ĩ":115731,"滿足":115732,"çİĽä¸½":115733,"風éļª":115734,"æĸĩç§ij":115735,"éħįå¤ĩäºĨ":115736,"è¿Ľé£Ł":115737,"涡":115738,"è·¯ç¨ĭ":115739,"åı«å£°":115740,"ä¸Ńå¿ĥåŁİåĮº":115741,"æľīæīĢä¸įåIJĮ":115742,"張貼":115743,"é¢ĦæĬ¥":115744,"æľīå¤ļä¹Ī":115745,"è¿Ľè¡Įåħ¨éĿ¢":115746,"æĽ¾ç¶ĵ":115747,"ä¸ī代":115748,"å®ı大":115749,"æ¸ħæī«":115750,"éĢīåĩº":115751,"åĵªä¸Ģ个":115752,"主義":115753,"ä¾Ŀæĵļ":115754,"çļ®éĿ©":115755,"赶æĿ¥":115756,"çŃĽæŁ¥":115757,"æ¨Ł":115758,"ä¿ĿèįIJ":115759,"åIJĥæĥĬ":115760,"æľĭåıĭ们对":115761,"ä»ĸæĺ¯ä¸Ģ个":115762,"åºŁæ°Ķ":115763,"æ»ħ":115764,"è´¢ç¨İ":115765,"æĿijæĿijæ°ij":115766,"èµĦäº§è´ŁåĢº":115767,"å®īå¨ľ":115768,"缮åīįåĽ½åĨħ":115769,"æĦŁè§īèĩªå·±":115770,"çµIJåIJĪ":115771,"éĶ¦æłĩ":115772,"éĶ¦æłĩèµĽ":115773,"æĽ´æ·±":115774,"åŁºæķ°":115775,"éħ¿éħĴ":115776,"çī¹èī²äº§ä¸ļ":115777,"åİĭå®ŀ":115778,"ä¾Ŀæ³ķ追究":115779,"æ·¡å®ļ":115780,"ç®ĢçĽ´å°±æĺ¯":115781,"å£ĵåĬĽ":115782,"æ°ijå¿ĥ":115783,"ä¸įåIJĪéĢĤ":115784,"çĶ±æѤåı¯è§ģ":115785,"èµŀèªī":115786,"澤":115787,"åĩłå¹´åīį":115788,"åIJīä»ĸ":115789,"çł´æįŁ":115790,"è½»è½»åľ°":115791,"å²Ľå±¿":115792,"æĦıå¢ĥ":115793,"ä»Ģä¹Īåı«":115794,"åģĩè£ħ":115795,"éĢģè´§":115796,"å¹ķå¢Ļ":115797,"妥åįı":115798,"åĽ½æĹĹ":115799,"äºĨå¾Īä¹ħ":115800,"åĪĨ辨çİĩ":115801,"ç´Ķ":115802,"éĺ³åĮº":115803,"åĩŃçĿĢ":115804,"åģľè½¦ä½į":115805,"京éĥ½":115806,"éĶ£":115807,"æĵ¾":115808,"è¿ĽéŨ":115809,"åĪĺæµ·":115810,"åĽĽçº§":115811,"女足":115812,"è¡ĮæĶ¿å®¡æī¹":115813,"éģ¥æݧ":115814,"ä¸įéĮ¯":115815,"å¾Ĺå¾Ī好":115816,"ä¸ºçĽ®çļĦ":115817,"ä»įæľª":115818,"ç²¾è£ħ":115819,"éĢįéģ¥":115820,"尽头":115821,"çºłç¼ł":115822,"éłĺå°İ":115823,"æĭħè´Ł":115824,"æĪĸèĢħåħ¶ä»ĸ":115825,"åıªä¸įè¿ĩæĺ¯":115826,"åı®åĺ±":115827,"åģĩåĨĴ":115828,"æļĸæ°Ķ":115829,"çĽIJåŁİ":115830,"被è§Ĩ为":115831,"诺è´Ŀå°Ķ":115832,"ç»ĻäºĨæĪij":115833,"è¿ijåįĥ":115834,"éĩįåĽŀ":115835,"éĨĴäºĨ":115836,"çĶµè§£":115837,"忽çķ¥äºĨ":115838,"èĥĮéĥ¨":115839,"æĸĩæĺİåŁİå¸Ĥ":115840,"æºħ":115841,"è²ĵ":115842,"æĬµæĮ¡":115843,"åĸľæ¬¢åIJĥ":115844,"éĿĻéĿĻåľ°":115845,"å¾Īæ·±":115846,"åŁºç¡ĢçŁ¥è¯Ĩ":115847,"è¿ĩéĶĻ":115848,"çIJĨç§ij":115849,"交æµģåIJĪä½ľ":115850,"èĪĶ":115851,"èª¿æŁ¥":115852,"æħĪæĤ²":115853,"éĴ°":115854,"èĩ´çĶµ":115855,"å®£ä¼łæ´»åĬ¨":115856,"åıĺéĩı":115857,"çļĦ人æĿ¥è¯´":115858,"æŶéļĶ":115859,"ä¸įç®¡ä½ł":115860,"缸è¿ij":115861,"è´µéĩijå±ŀ":115862,"ä¹Łä¸įåı¯èĥ½":115863,"ç²īæľ«":115864,"åįĹçĵľ":115865,"çĻ½é©¬":115866,"åħīæºIJ":115867,"éĩijå¥ĸ":115868,"çĭ¬è§Ĵ":115869,"çĭ¬è§Ĵåħ½":115870,"妨ç¢į":115871,"ç»ĻåĬĽ":115872,"ä½Ĩä»į":115873,"å¼łå®¶åı£":115874,"èIJ¬åħĥ":115875,"渲æŁĵ":115876,"éķ¿å¤§äºĨ":115877,"è®°èĢħäºĨ解":115878,"æĢĢçĿĢ":115879,"è¦ģåѦä¼ļ":115880,"游æĪı代":115881,"游æĪı代ç»ĥ":115882,"äºĮçĻ¾":115883,"æĦıè¯Ĩå½¢æĢģ":115884,"çݺ":115885,"计åĪĴçĶŁèĤ²":115886,"æī¾åĩĨ":115887,"åħ°èĬ±":115888,"è¿Ļ座åŁİå¸Ĥ":115889,"污泥":115890,"å®ĺæĸ¹å¾®ä¿¡":115891,"å½Ĵå±ŀ":115892,"æ°§æ°Ķ":115893,"éģİç¨ĭä¸Ń":115894,"åį°è±¡æ·±åĪ»":115895,"稳妥":115896,"çµIJæĿŁ":115897,"åŃķæľŁ":115898,"çī¹æĿĥ":115899,"åĿļåĽº":115900,"顺åĬ¿":115901,"æŀľèĶ¬":115902,"éĨ«å¸«":115903,"åİ®":115904,"ä¹Łæĺ¯å¦ĤæѤ":115905,"é¦Ĵ头":115906,"缸åĬ©":115907,"干线":115908,"ä¸Ģæľ¬ä¹¦":115909,"绥":115910,"æĮ¯å¥ĭ":115911,"èĤ¾èĦı":115912,"åĭķçī©":115913,"é£ŀè·ĥ":115914,"èıľåĵģ":115915,"å¤ļä½Ļ":115916,"å¤ļä½ĻçļĦ":115917,"éĢĿä¸ĸ":115918,"æģĭ人":115919,"å¼ĢåıijåĪ©çĶ¨":115920,"顺丰":115921,"éĩİå¿ĥ":115922,"æł¡å¤ĸ":115923,"æģIJé¾Ļ":115924,"éĿ¢åħ·":115925,"éķ¿è¾Ī":115926,"éļıå¤Ħ":115927,"éļıå¤Ħåı¯è§ģ":115928,"紧缺":115929,"éĩįä¸Ń":115930,"éĩįä¸Ńä¹ĭ":115931,"éĩįä¸Ńä¹ĭéĩį":115932,"奥æĸ¯":115933,"奥æĸ¯åį¡":115934,"ä¸Ģ个å¤ļ":115935,"ä¸Ģ个å¤ļæľĪ":115936,"ä¸įåı¯ç¼ºå°ij":115937,"æĸ°æł¼å±Ģ":115938,"æıIJæĮ¯":115939,"è¡Įè´¿":115940,"æ¼Ĥæµģ":115941,"èģĬåŁİ":115942,"åħ´å»º":115943,"è´¨æ£Ģ":115944,"ç§ģæľį游æĪı":115945,"æĽ´éĩįè¦ģ":115946,"è´®":115947,"çħľ":115948,"转åıĺ为":115949,"è¿Ļ两年":115950,"ä¿Ŀé²ľ":115951,"æī§æķĻ":115952,"çĥ¨":115953,"å¼Ģåıij建设":115954,"è¿IJèIJ¥ç®¡çIJĨ":115955,"误差":115956,"京åī§":115957,"å¸IJåı·":115958,"å·¥ä½ľä½ľé£İ":115959,"ä¸ĸä¿Ĺ":115960,"çĻ½å®«":115961,"å¤©åĽ½":115962,"å¤©åĽ½ç»§ç»Ń":115963,"å·´æĸ¯":115964,"èIJ¥åĪ©":115965,"åĵģæł¼":115966,"æĿijæ°ij们":115967,"æĪ¿è½¦":115968,"çŃīçĹĩçĬ¶":115969,"å¦Ĥå®ŀ":115970,"宸":115971,"å±Ĥ级":115972,"éĶĻè¿ĩäºĨ":115973,"ç»ĵå®ŀ":115974,"ç¬ijèĦ¸":115975,"羣å®ŀæĢ§":115976,"éĥ½å¸ĤæĬ¥":115977,"é¥Ńèıľ":115978,"åºĶ注æĦı":115979,"æĬ½çĥŁ":115980,"伪éĢł":115981,"åīįä¸Ģ天":115982,"éŃĶé¾Ļ":115983,"éŃĶé¾Ļ令çīĮ":115984,"约è°Ī":115985,"绣çŃ¹æİ¨è¿Ľ":115986,"让çĶ¨æĪ·":115987,"åħ¨éĿ¢èIJ½å®ŀ":115988,"å¼Ħå¾Ĺ":115989,"è°ĪæģĭçĪ±":115990,"鸣æĪIJéķ¿":115991,"鸣æĪIJéķ¿è®°":115992,"æ´ĭæ´ĭ":115993,"çĸıæķ£":115994,"éĿ¢ç§¯çº¦":115995,"æµĵ缩":115996,"æĸ¯é¡¿":115997,"çĶŁæĢģåľĪ":115998,"æī§å¯¼":115999,"移éĢģ":116000,"齿轮":116001,"æł¹æľ¬å°±ä¸į":116002,"缩åĩı":116003,"èµ°ä¸ĭåİ»":116004,"çĿ«æ¯Ľ":116005,"ä¹Łä¸įéĶĻ":116006,"åıįæĺłåĩº":116007,"èĭ¦æģ¼":116008,"缸åħ³æĶ¿çŃĸ":116009,"é«ĺ楼":116010,"ç²īèī²":116011,"æĬķèµĦé¢Ŀ":116012,"ä¸įç»ı":116013,"ä¸įç»ıæĦı":116014,"å®ģæĦ¿":116015,"èĪĮ头":116016,"æ»ĭçĶŁ":116017,"å®ģåİ¿":116018,"åīįåĪĹèħº":116019,"åĩ³":116020,"é£Łæ¬²":116021,"åıĸèĥľ":116022,"éĻ¢åŃIJ":116023,"ç´łè´¨æķĻèĤ²":116024,"滨å·ŀ":116025,"æĬ¢æĬĵ":116026,"å¼Ĥåij³":116027,"åĴļ":116028,"åĬį":116029,"宽éĺĶ":116030,"æļ´æ¶¨":116031,"æĥłåıĬ":116032,"è§Ħç¨ĭ":116033,"ä¾Ľåħ»":116034,"éĢģå¾Ģ":116035,"å±±åºĦ":116036,"举äºļ":116037,"å±ķé¦Ĩ":116038,"解éĶģ":116039,"æĹłè§Ĩ":116040,"éĻįèIJ½":116041,"è¿ŀäºij":116042,"è¿ŀäºij港":116043,"åıĤè°ĭ":116044,"çİĸ":116045,"ç¬ĥ":116046,"èĢĹè´¹":116047,"æī¿å¾·":116048,"社ä¼ļæķĪçĽĬ":116049,"åįĹæµ·ç½ij":116050,"åĪĽä¼¤":116051,"èIJ±":116052,"åħħæ²Ľ":116053,"ç½ijç«Ļ建设":116054,"大åºĨ":116055,"åĨįéĢł":116056,"åŃĹæł·":116057,"åħ¨æ°ijåģ¥èº«":116058,"èĮ«èĮ«":116059,"æµ®åĬ¨":116060,"åīįåı°":116061,"å¢ŀ设":116062,"éĢĽè¡Ĺ":116063,"åĢĴéĹŃ":116064,"æ³ķå¾ĭ顾éĹ®":116065,"çĸ®":116066,"çĹħçĹĩ":116067,"空åīį":116068,"请æķĻ":116069,"èĥľä»»":116070,"æĿĢèıĮ":116071,"æĪĺæĸĹæľº":116072,"ç»ĺåĪ¶":116073,"å¤Ħæĸ¹":116074,"çªģåĽ´":116075,"çĮ«åĴª":116076,"æĬ¥åijĬæĺ¾ç¤º":116077,"ç¿Ł":116078,"çķ¶åľ°":116079,"æľĢéļ¾":116080,"纪å§Ķ书记":116081,"ä½İåİĭ":116082,"èĻļ空":116083,"è¿Ļéĥ¨çĶµå½±":116084,"产ä¸ļåįĩ级":116085,"è°·çĪ±":116086,"è°·çĪ±åĩĮ":116087,"æĬ¼éĩij":116088,"女æĸ¹":116089,"éĴ»çłĶ":116090,"æļĹæļĹ":116091,"è¿·ä½ł":116092,"æīĢè¬Ĥ":116093,"å¨ģå»ī":116094,"å¼ĢæľĹ":116095,"å²Ķ":116096,"çģ«çĤ¬":116097,"åIJĪçIJĨæĢ§":116098,"åħ¬åĬŀ":116099,"ä¼ļä¼ļéķ¿":116100,"éĺ´è°ĭ":116101,"å¼Ģå±Ģ":116102,"æĻ®éĢļè¯Ŀ":116103,"åį¡æĭī":116104,"å°ijåIJĥ":116105,"éĹªèĢĢ":116106,"æŀľæ±ģ":116107,"æī§è¡ĮåĬĽ":116108,"è°Ľ":116109,"æĬ¢åĬ«":116110,"é«ĺéĢŁåıijå±ķ":116111,"飬":116112,"åįĹæ²Ļ":116113,"é«ĺçŃīåŃ¦æł¡":116114,"æį¢ä¸ª":116115,"åı¯èĥ½åŃĺåľ¨":116116,"æĬĴ":116117,"è°±åĨĻ":116118,"被æĬĵ":116119,"æĿ¯åŃIJ":116120,"èĬĤèĥ½åĩıæİĴ":116121,"æ°ĶåĢĻåıĺåĮĸ":116122,"åĪĨåĪ¥":116123,"ä¸Ńæŀ¢":116124,"欢åij¼":116125,"åħī纤":116126,"è¿Ļ群":116127,"çľ¼çķĮ":116128,"åħ±åIJĮåıijå±ķ":116129,"çİ°ä»Ĭ":116130,"éĹ»è¨Ģ":116131,"çī¹èī²å°ıéķĩ":116132,"æķij人":116133,"éĻįæ°´":116134,"ä¸ĸçķĮä¸Ģæµģ":116135,"å°±é¤IJ":116136,"çŀ¥":116137,"å¤įä»ĩ":116138,"ç¾½æ¯Ľ":116139,"ç¾½æ¯ĽçIJĥ":116140,"è´©åįĸ":116141,"æºIJæ³ī":116142,"æĢ»ä½ĵè§ĦåĪĴ":116143,"åĬ¨æĦŁ":116144,"ä¸Ģ审":116145,"åĢŁéĴ±":116146,"è§ģæķĪ":116147,"èĬ±èįī":116148,"åIJĮä¸ļ":116149,"æŁ¥è©¢":116150,"åĽ½éĻħåIJĪä½ľ":116151,"ä¾ĽåĽ¾":116152,"åģ´":116153,"æłĵ":116154,"缸éĢļ":116155,"è°ĪåıĬ":116156,"è¿ĩç¨ĭå½ĵä¸Ń":116157,"é¦Ļèıĩ":116158,"åįģåĽĽæĿ¡":116159,"ä¸Ģå¼Ģå§ĭå°±":116160,"ä¸ĵåijĺ":116161,"æĺİ顯":116162,"æīĵéĢłåĩº":116163,"ä¸ĭéĿ¢æĪij们":116164,"æľºæ²¹":116165,"åı°è¯į":116166,"åŃIJå¼Ł":116167,"æľĢ常è§ģçļĦ":116168,"æĪijè®°å¾Ĺ":116169,"ç»°":116170,"æĤ¬æµ®":116171,"è¿ĺ羣æĺ¯":116172,"æĮĤåı·":116173,"åıĭåĸĦ":116174,"éĩį伤":116175,"çħ§äº®":116176,"æѦèѦ":116177,"åĩºçİ°éĹ®é¢ĺ":116178,"è¸Ĭè·ĥ":116179,"åľ°çIJĥä¸Ĭ":116180,"å¸Ĥ人大":116181,"åıĹ害人":116182,"å²IJ":116183,"åIJĮåѸ":116184,"éĩijèŀįå¸Ĥåľº":116185,"æľīçļĦçݩ家":116186,"å¸ĤæķĻèĤ²":116187,"å¸ĤæķĻèĤ²å±Ģ":116188,"åIJĦå¼Ĥ":116189,"ç·ļä¸Ĭ":116190,"æģº":116191,"æľī大éĩıçļĦ":116192,"åķĨæĬ¥":116193,"åįķåįķ":116194,"åħ¨é¢Ŀ":116195,"ä¾Ŀæŧæĺ¯":116196,"好åĩłä¸ª":116197,"åĸµ":116198,"éĩįæķ´":116199,"çĶŁæ´»è´¨éĩı":116200,"æݢ访":116201,"åį°èĬ±":116202,"缼è¡Į":116203,"å¾®è§Ĥ":116204,"èĪįå¾Ĺ":116205,"åºŁå¼ĥçī©":116206,"积èĵĦ":116207,"å®ļå±ħ":116208,"æĤ¼":116209,"èĮ¸":116210,"çļĦ帮åĬ©":116211,"çļĦ帮åĬ©ä¸ĭ":116212,"亿åIJ¨":116213,"åŃĶéĽĢ":116214,"è¿ĻæĿ¡è·¯":116215,"饵":116216,"æĦĪåĬł":116217,"éķį":116218,"ä½ľæ¡Ī":116219,"èįĶæŀĿ":116220,"太å°ij":116221,"跻身":116222,"åħ¬çĽĬæ´»åĬ¨":116223,"çĻ½æĸij":116224,"æĬĢæľ¯æ°´å¹³":116225,"帧":116226,"æĹłçŁ¥":116227,"åºĶ该æĢİä¹Ī":116228,"éĢĢå¸Ĥ":116229,"æ¸Ń":116230,"åħ»çĮª":116231,"驼":116232,"ç¾¤å²Ľ":116233,"大åį«":116234,"ä¹ĺçĶ¨è½¦":116235,"èı²å°Ķ":116236,"è´´åIJ§":116237,"åģľä¸ĭæĿ¥":116238,"æľīæľºç»ĵåIJĪ":116239,"åĪ»èĭ¦":116240,"çļĦåľ°":116241,"çļĦåľ°æŃ¥":116242,"è¯ĬæīĢ":116243,"å¼ĢæĪĺ":116244,"èĢģçīĮ":116245,"çŃ¹çłģ":116246,"åħ«å¤§ä»¥æĿ¥":116247,"楼æĪ¿":116248,"åŃĻæĤŁ":116249,"åŃĻæĤŁç©º":116250,"åħĴåŃIJ":116251,"第ä¸ĢæĿ¡":116252,"社交åªĴä½ĵ":116253,"æĥ³èµ·æĿ¥":116254,"大æ´ĭ":116255,"æĭ¼éŁ³":116256,"è¿Ľåįļä¼ļ":116257,"è¿ĩåħ³":116258,"æ²¼":116259,"ç©¿æIJŃ":116260,"éĤ£ä¸Ģ天":116261,"çł´éŨ":116262,"æĬķæłĩ人":116263,"赢家":116264,"èĻļå¼±":116265,"æ¿ĥ":116266,"å®īæ£Ģ":116267,"客家":116268,"çĭ¬ç«ĭèij£äºĭ":116269,"æīĭåĬ¿":116270,"åīµéĢł":116271,"åľĨ满å®ĮæĪIJ":116272,"为主线":116273,"好å¥ĩå¿ĥ":116274,"é¢ĨåľŁ":116275,"çªĸ":116276,"åħ¸åŀĭæ¡Īä¾ĭ":116277,"çªģåıijäºĭ件":116278,"åºķæ°Ķ":116279,"头æĻķ":116280,"å®Ľå¦Ĥ":116281,"觸":116282,"æ¸ħæ·¡":116283,"åļ¼":116284,"åģľçĶµ":116285,"ç²īå°ĺ":116286,"éĻįä½İæĪIJæľ¬":116287,"æĶ¾æīĭ":116288,"è®°èĢħ表示":116289,"æĭĸ延":116290,"éªĩ":116291,"æ®ĭå¿į":116292,"çľģæķĻèĤ²":116293,"çľģæķĻèĤ²åİħ":116294,"é«ĺé¢Ŀ":116295,"éĦĻ":116296,"æ¥ŀ":116297,"åĨħç§ij":116298,"èIJ¥ä¸ļé¢Ŀ":116299,"åŁºçŁ³":116300,"æµģæ·Į":116301,"主æŨ":116302,"éĺIJéĩĬ":116303,"建åįİ":116304,"æĥĬåı¹":116305,"çī¢åĽºæłijç«ĭ":116306,"æĺ¯åIJ¦åŃĺåľ¨":116307,"建åĨĽ":116308,"éĽ¾éľ¾":116309,"åħ¬è®¤":116310,"åħ¬è®¤çļĦ":116311,"æ°¨åŁº":116312,"æ°¨åŁºéħ¸":116313,"åīįåĩłå¹´":116314,"åĪ¹éĤ£":116315,"æ±Łä¸ľ":116316,"å·¥æ¥Ń":116317,"ä¸ĢçĤ¹ä¹Łä¸į":116318,"修士":116319,"äºĨä¸Ģéģį":116320,"åĪģ":116321,"æ»ļæ»ļ":116322,"åĪĨæł¡":116323,"羣çĪ±":116324,"è¡ĢèĦī":116325,"æĢ¥åī§":116326,"ä¸Ģ群人":116327,"羯":116328,"æĪIJé¾Ļ":116329,"ç²¾ç¥ŀçĹħ":116330,"缸åħ³äººåijĺ":116331,"éĿĵ丽":116332,"ä¸īåŃ£åº¦":116333,"åĪĴå®ļ":116334,"ä¸ĸçķĮ第ä¸Ģ":116335,"éĢļä¿Ĺ":116336,"åķĨä¸ļåľ°äº§":116337,"åĬŁèĥ½æĢ§":116338,"èµĦæľ¬ä¸»ä¹ī":116339,"详è§ģ":116340,"æĬĵæįķ":116341,"æĸĩæĺĮ":116342,"å®Ŀå®ī":116343,"è£ħéħįå¼ı":116344,"æºIJæºIJ":116345,"æºIJæºIJä¸įæĸŃ":116346,"çĶŁæĢķ":116347,"纵åIJij":116348,"壽":116349,"çľ¼è¢ĭ":116350,"èĤīä½ĵ":116351,"åı¤ä»Ĭ":116352,"èŀįåªĴä½ĵ":116353,"åģī":116354,"æł¼æľĥåĵ¡":116355,"çĥ·":116356,"åĬŁçĶ¨":116357,"æīŃ磩":116358,"绿èī²éĢļéģĵ":116359,"åī§ç»Ħ":116360,"å¼±åĬ¿":116361,"è´¨éĩıéĹ®é¢ĺ":116362,"éĻIJé¢Ŀ":116363,"éªĨ":116364,"éģµä¹ī":116365,"å¯Ŀ室":116366,"æĥ³å¿µ":116367,"åł±åijĬ":116368,"ä»ħ次":116369,"ä»ħ次äºİ":116370,"èŀįåĪĽ":116371,"æĭĽèģĺä¼ļ":116372,"åºĬåŀ«":116373,"转åŀĭåıijå±ķ":116374,"ä¸ŃåĽ½çĶµä¿¡":116375,"åIJ¬è¯Ŀ":116376,"è«ĭæ±Ĥ":116377,"大éĥ¨åĪĨ人":116378,"æ´»å¾Ĺ":116379,"åĵŃæ³£":116380,"è¶Ļ":116381,"åıijçĹħçİĩ":116382,"ä¸į符":116383,"åĨĽå®ĺ":116384,"é¢Īæ¤İ":116385,"æĸ°åĨłçĸ«æĥħ":116386,"æŁ¬åŁĶ":116387,"æŁ¬åŁĶ寨":116388,"ä»»ä½ķå½¢å¼ı":116389,"人éĻħ":116390,"人éĻħåħ³ç³»":116391,"æĢ»æī¿åĮħ":116392,"å¹³åĿĩæ¯ı":116393,"æģŃåĸľ":116394,"åĦĺ":116395,"åħµé©¬":116396,"è¿ŁåĪ°":116397,"工伤":116398,"çīĪæĿĥå½Ĵ":116399,"çīĪæĿĥå½ĴåİŁ":116400,"æĭ¥æĬ¤":116401,"ç³Ĭæ¶Ĥ":116402,"å¹²æ¶ī":116403,"å°ijä¸įäºĨ":116404,"æĥ³æī¾":116405,"è´¹çİĩ":116406,"该éĻ¢":116407,"èŀįåĮĸ":116408,"è¿İåIJĪ":116409,"è§ĨåIJ¬èĬĤ缮":116410,"æł¼ç¶²ç«Ļ":116411,"çľīæ¯Ľ":116412,"欢è¿İ大家":116413,"家åºŃæķĻèĤ²":116414,"ä¾µèļĢ":116415,"ç»Ļä½łä»¬":116416,"è¡Ģ液循çݯ":116417,"å¯Ħæīĺ":116418,"å°ĸåı«":116419,"以ä¸ĭåĩłä¸ª":116420,"è¿ĺ以为":116421,"åħ¶ä»ĸçݩ家":116422,"ç¬ijç¬ij":116423,"æīĵåIJ¬":116424,"èĩªçĦ¶ç§ijåѦ":116425,"åŁºç«Ļ":116426,"ä¹Ŀå·ŀ":116427,"ä¿Ŀ驾":116428,"ä¿Ŀ驾æĬ¤":116429,"ä¿Ŀ驾æĬ¤èĪª":116430,"æĶ¾çľ¼":116431,"çŁ¥åIJįä¼ģä¸ļ":116432,"縮":116433,"稽":116434,"æļĩ":116435,"使çĶ¨ç¶²è·¯":116436,"é¢ĦçķĻ":116437,"大象":116438,"åıijæĺİä¸ĵåĪ©":116439,"æĸĩ娱":116440,"éĢłç¦ı":116441,"湿润":116442,"éĿ¢æĿ¡":116443,"æ¶Īè´¹åįĩ级":116444,"è®Ĭå¾Ĺ":116445,"åĩłåIJį":116446,"ä»Ħ":116447,"认æ¸ħ":116448,"è¿ľæĻ¯":116449,"æıĴ座":116450,"诸侯":116451,"åıĺæĢģ":116452,"ç¦ı彩":116453,"è´§æŀ¶":116454,"失æݧ":116455,"移åĬ¨ç«¯":116456,"ä¸Ĭåı¸":116457,"éĢłçº¸":116458,"å¸ĥæľĹ":116459,"çĴĩ":116460,"åı°åįĹ":116461,"åĮĹ京åĨ¬å¥¥":116462,"èĵĿçīĻ":116463,"éķ¿çŁŃ":116464,"æĬĺå°Ħ":116465,"ç»ijæŀ¶":116466,"å¯Ĵåģĩ":116467,"è½¬åŁºåĽł":116468,"æĢ¥äºİ":116469,"æŃ£åĵģ":116470,"åħħ滿":116471,"大纲":116472,"æĬĹä½ĵ":116473,"è¨ĵç·´":116474,"æĶ¶ç´§":116475,"æ¯Ķè³½":116476,"åħµåĬĽ":116477,"æľ¬æĽ¸":116478,"äºĮ代":116479,"æĢ¥è¯Ĭ":116480,"æĸĩæ¡Ī":116481,"ç»ıåķĨ":116482,"æĻ¨æĬ¥":116483,"æ£ĺ":116484,"æĢ»ä¹¦è®°åľ¨":116485,"åıĹéĤĢ":116486,"äºĶåĽĽ":116487,"å²ŃåįĹ":116488,"çĪ±åIJĥ":116489,"åŁĥå°Ķ":116490,"å¿ĥå¢ĥ":116491,"è¦ĨçĽĸéĿ¢":116492,"å®ŀåľ¨æĺ¯å¤ª":116493,"æł¹åºķ":116494,"纷纷表示":116495,"åĹħ":116496,"éļıçĿĢæŶéĹ´":116497,"åİĨåı²æĤłä¹ħ":116498,"éħī":116499,"æĢ»éĺŁ":116500,"主é¢ĺæ´»åĬ¨":116501,"éĹ®åį·":116502,"é©¿ç«Ļ":116503,"æı¡ä½ı":116504,"åı¯èĥ½å¯¼èĩ´":116505,"æ°ijéĸĵ":116506,"éĸĭåķŁ":116507,"ä½Ĩä¸įéĻIJ":116508,"ä½Ĩä¸įéĻIJäºİ":116509,"åįģéĩĮ":116510,"娥":116511,"æįŁèĢĹ":116512,"çĸı导":116513,"çݯ氧":116514,"ç¥ŀéĢļ":116515,"çĪ±å°Ķ":116516,"çĪ±å°Ķåħ°":116517,"æľ´å®ŀ":116518,"å¿«æĬ¥":116519,"æĶ¶åıĹ":116520,"æĪĸ許":116521,"èĥĮéĿ¢":116522,"æĸĩåĮĸä¼łåªĴ":116523,"ä¸īåĢĭ":116524,"æĶ»åĬ¿":116525,"å®ī举":116526,"å®īä¸ľå°¼":116527,"åĿĩå·²":116528,"顾èĻij":116529,"éĦŃ":116530,"è¿Ļ家åħ¬åı¸":116531,"åħ¬åijĬ称":116532,"æıIJä¾Ľä¼ĺè´¨":116533,"稳æŃ¥æİ¨è¿Ľ":116534,"å¤įè¯ķ":116535,"å°Ĩé¢Ĩ":116536,"è°Īèµ·":116537,"å¨Ħ":116538,"è¿ŀ线":116539,"æ©ŁéĹľ":116540,"åºĶçĶ¨åľºæĻ¯":116541,"çĶ»åĥı":116542,"è´¢è¿IJ":116543,"ä¿Ŀéļª":116544,"çĹħçIJĨ":116545,"æ¯Ľä¸»å¸Ń":116546,"ä¸Ŀ毫ä¸į":116547,"çĪ±å¥ĩ":116548,"çĪ±å¥ĩèīº":116549,"ä¸ĵ家ç»Ħ":116550,"åij¼åĶ¤":116551,"éĭ¼":116552,"çģ¸":116553,"é¢ĨåħĪåľ°ä½į":116554,"æıIJæĭĶ":116555,"龸éģĵ":116556,"å±±åĿ¡":116557,"èĿİ":116558,"沸èħ¾":116559,"该项":116560,"ä»ĬçĶŁ":116561,"ä¸Ģç¯ĩæĸĩç«ł":116562,"æĸ¹å¼ıè¿Ľè¡Į":116563,"é»ij客":116564,"æĶ¹åĬ¨":116565,"主é¡Į":116566,"æķ£å¸ĥ":116567,"ä»Ģä¹Īåľ°æĸ¹":116568,"åĮĸåIJĪ":116569,"åĮĸåIJĪçī©":116570,"éĿĻçĶµ":116571,"æĢ»æĶ¶åħ¥":116572,"å§Ķç»Ħç»ĩ":116573,"å§Ķç»Ħç»ĩéĥ¨":116574,"éĿĻæĢģ":116575,"èĢģåŃĹåı·":116576,"室åıĭ":116577,"éĥ½ä¸įæķ¢":116578,"æŀ¶åŃIJ":116579,"çģµæķı":116580,"审è§Ĩ":116581,"æĤ£åĦ¿":116582,"山寨":116583,"èĸªèµĦ":116584,"é©°æı´":116585,"éĥ¨åĪĨåĨħ容":116586,"好似":116587,"æĪIJåijĺåĽ½":116588,"åľ¨æĪijçľĭæĿ¥":116589,"åħ³æ³¨åº¦":116590,"éĻĪæŁIJ":116591,"è¿Ļç§įäºĭæĥħ":116592,"éĢīå®ļ":116593,"ç²¾åŃIJ":116594,"å£ģçĶ»":116595,"æ±Łæ·®":116596,"é«ĺæĺĤ":116597,"æł¼åĬĽ":116598,"輩":116599,"åѦåłĤ":116600,"æĤ¨åIJĮæĦı":116601,"ä¸ĢåĪĩéĥ½æĺ¯":116602,"潤":116603,"éĸĥ":116604,"å¸ĮæľĽèĩªå·±":116605,"ä¿ĺ":116606,"æ±Łåİ¿":116607,"æ³¾":116608,"ç§ijæķĻ":116609,"æīĵè¿Ľ":116610,"ä¸įæħİ":116611,"å¯ĴåĨ¬":116612,"æ¸Ķæ°ij":116613,"鼷æĸ¯":116614,"主宰":116615,"æĹħ游度åģĩ":116616,"çĶµåŃIJéĤ®ä»¶":116617,"æ±Ĥå©ļ":116618,"éļİ段":116619,"åģ¥èº«æĪ¿":116620,"注æĺİåĩºå¤Ħ":116621,"äºĭæķħåıijçĶŁ":116622,"级以ä¸Ĭ":116623,"åŃĺæ´»":116624,"æĸ½èĤ¥":116625,"èľľèľĤ":116626,"嵩":116627,"æĮĸæİĺæľº":116628,"æĬĹæĭĴ":116629,"ä¼łå¯¼":116630,"æĺ¯ä»Ģä¹Īåij¢":116631,"ä¸Ĭå¹´åIJĮæľŁ":116632,"建åħļ":116633,"çĶŁæħĭ":116634,"ä¿Ŀä½ı":116635,"款车åŀĭ":116636,"人èĦī":116637,"éļIJèĶ½":116638,"失æķĪ":116639,"éģ¿åŃķ":116640,"ç®Ģ便":116641,"è°¢è°¢ä½ł":116642,"å®Īä½ı":116643,"æĶ¾æĺł":116644,"è¨Īçķ«":116645,"çݰ代çī©æµģ":116646,"é¤IJ廳":116647,"æķħå±ħ":116648,"大大å°ı":116649,"大大å°ıå°ı":116650,"çī¹åĪ«å£°æĺİ":116651,"éģįåıĬ":116652,"å¿ĥçIJĨåĴ¨è¯¢":116653,"è³´":116654,"çĮ®è¡Ģ":116655,"å·²ç»ıè¾¾åĪ°":116656,"æīĵæĭĽåij¼":116657,"åıĮè¾¹":116658,"ä¸Ģæĸ¹éĿ¢æĺ¯":116659,"å´ĩå°ļ":116660,"éĺ¿å¯Į":116661,"éĺ¿å¯Įæ±Ĺ":116662,"æĮģæľī人":116663,"è±ģ":116664,"é£İçŃĿ":116665,"åĬ¨èį¡":116666,"äºĨä¸Ģä¼ļ":116667,"äºĨä¸Ģä¼ļåĦ¿":116668,"ä¸ĩ象":116669,"çľĭçĶµè§Ĩ":116670,"åįģä¸īæĿ¡":116671,"çĮĽçĥĪ":116672,"è¦ģä¸įçĦ¶":116673,"太æŀģæĭ³":116674,"å¼ķçĪĨ":116675,"ç»ıè¿ĩå¤ļå¹´":116676,"游æĪıéĩĮçļĦ":116677,"é¾Ļæ³ī":116678,"æłĩéħį":116679,"è®ĵä»ĸåĢij":116680,"éĢłæŀĹ":116681,"åĮºåŁŁæĢ§":116682,"亿ä¸ĩ":116683,"æĪĺçķ¥å¸ĥå±Ģ":116684,"éķĩæĶ¿åºľ":116685,"åĶ®ç¥¨":116686,"çĶŁäº§å·¥èīº":116687,"éķĩåħļå§Ķ":116688,"ä¸Ńå°ıåŀĭ":116689,"æľ¨èĢ³":116690,"河边":116691,"èĦ¾èĥĥ":116692,"欢è¿İæĤ¨":116693,"åıĺå¼Ĥ":116694,"缤纷":116695,"åŀĥåľ¾æ¡¶":116696,"辩è¯ģ":116697,"车åºĵ":116698,"æ¯Ķçİĩ":116699,"åħ´æĹº":116700,"详ç»ĨäºĨ解":116701,"å®īå±ħ":116702,"çħ§æĸĻ":116703,"æĸ¹æīį":116704,"赦":116705,"åĨķ":116706,"å¥Ķèµ´":116707,"å®Ŀ鸡":116708,"åľºåĿĩ":116709,"缮åīįæŃ£åľ¨":116710,"åIJŀåĻ¬":116711,"è¿°èģĮ":116712,"æĩµ":116713,"å¥ĩçijŀ":116714,"ä»įå°Ĩ":116715,"èĪī辦":116716,"å·¥åķĨå±Ģ":116717,"å¡ijèĥ¶":116718,"åĬŀå®ŀäºĭ":116719,"æĸ¹æĸ¹éĿ¢":116720,"æĸ¹æĸ¹éĿ¢éĿ¢":116721,"æĸĩåĮĸèĬĤ":116722,"åħ¥èģĮ":116723,"鸥":116724,"ç©¿éĢı":116725,"ä»¥ä¹łè¿ijå¹³":116726,"åį±éļª":116727,"æľ¦èĥ§":116728,"åİĨåı²æĢ§":116729,"æķŀå¼Ģ":116730,"ä¼Ļä¼´åħ³ç³»":116731,"çŁ¿åĮº":116732,"åĽ½éĻħåľ¨çº¿":116733,"ä¼łå¥ĩéĩĮéĿ¢":116734,"è¿ijäºĽ":116735,"è¿ijäºĽå¹´":116736,"åĬ£åĬ¿":116737,"æĶ»åĩ»åĬĽ":116738,"æĻºéĢł":116739,"禧":116740,"çİĭåħĪçĶŁ":116741,"éĨ«çĶŁ":116742,"åĽĽé¡¹":116743,"å®ŀæĻ¯":116744,"åĪĿåĪĽ":116745,"å¿ĥ裡":116746,"æĻ¶ä½ĵ":116747,"交éĻħ":116748,"让æ¶Īè´¹èĢħ":116749,"课æĸĩ":116750,"æİĴæ°Ķ":116751,"并ä¸įæĦıåij³":116752,"çĽ¸å£°":116753,"第ä¸Ģå±Ĭ":116754,"åİŁèijĹ":116755,"鼾":116756,"没æľī太大":116757,"补水":116758,"çī©æµģä¼ģä¸ļ":116759,"第äºĮæī¹":116760,"åħ¶å®ĥéĹ®é¢ĺ":116761,"æİĮéŨ":116762,"责任å¿ĥ":116763,"é¤IJåħ·":116764,"ç¾Ĭæ¯Ľ":116765,"没æľīå¿ħè¦ģ":116766,"ä¹IJåĽ¢":116767,"è¿ĽåŁİ":116768,"ä¸ĢçĤ¹åĦ¿":116769,"身形":116770,"çļ®èĤ¤çĹħ":116771,"æĺ±":116772,"å¢ŀèĩ³":116773,"èģ²æĺİ":116774,"æıIJè´¨":116775,"ä½ĵèĤ²åľº":116776,"çŃ¹å»º":116777,"é¬Ĩ":116778,"车çīĮ":116779,"éļĶéŁ³":116780,"è´Łè´£åIJĮå¿Ĺ":116781,"丰ç¡ķ":116782,"ä½ĽéĻĢ":116783,"äºīåIJµ":116784,"庶":116785,"æ·¡æ°´":116786,"å°ıçĶ·åŃ©":116787,"ç§ģèĩª":116788,"åĮĸè¿Ľç¨ĭ":116789,"æĪĺ士æĿ¥è¯´":116790,"æ²¹èħ»":116791,"èĦ±è´«èĩ´å¯Į":116792,"æĹ¥å¸¸å·¥ä½ľ":116793,"交èŀį":116794,"åĨľè´¸":116795,"åĨľè´¸å¸Ĥåľº":116796,"åĵĪçĻ»":116797,"çĶµè´¹":116798,"èµĺ":116799,"åıĮèħ¿":116800,"æĵĶå¿ĥ":116801,"æĿ¥å½¢å®¹":116802,"使åij½æĦŁ":116803,"éĤ£ä¹Īç®Ģåįķ":116804,"èĬĻèĵī":116805,"åĢŁæ¬¾äºº":116806,"ç§Ģ丽":116807,"è®ĵä»ĸ":116808,"严åİīæīĵåĩ»":116809,"è³ŀ":116810,"æļ«":116811,"çħ¤æ°Ķ":116812,"çĪ¬ä¸Ĭ":116813,"æ½ĩæ´Ĵ":116814,"太ä¹ħ":116815,"åij½åIJį为":116816,"è·¯çĶ±":116817,"è·¯çĶ±åĻ¨":116818,"驯":116819,"æıIJæĹ©":116820,"æĬĹåĩ»çĸ«æĥħ":116821,"åĩĽ":116822,"交åıĭ":116823,"éĶĢåĶ®æ¸łéģĵ":116824,"毫ä¸įçĬ¹è±«":116825,"èIJ¥åľ°":116826,"çłĶ究表æĺİ":116827,"鱼类":116828,"æį¢å±Ĭ":116829,"æİ¡åıĸ":116830,"çīĨ":116831,"缼å¼Ģ":116832,"沧æ¡ij":116833,"åºŃ审":116834,"ç»ıæŁ¥":116835,"åĬłå¼·":116836,"缸æ¯Ķäºİ":116837,"ä¸ĵçıŃ":116838,"ä½ĵåŀĭ":116839,"被害":116840,"被害人":116841,"æĶ¶æ¬¾":116842,"åħ·æľīèī¯å¥½":116843,"é«ĺå³°æľŁ":116844,"åģıä½İ":116845,"åĦŁ":116846,"åĨľä¸ļç§ijæĬĢ":116847,"çī¹æ®ĬæĥħåĨµ":116848,"å¦Ĥæŀľçݩ家":116849,"éķ¿çº¦":116850,"第åħŃå±Ĭ":116851,"åħ¬å¼ĢæĭĽèģĺ":116852,"åĪĩæĸŃ":116853,"迫使":116854,"çĸĹç¨ĭ":116855,"第äºĮç§į":116856,"ä¸įåħį":116857,"å¹²èѦ":116858,"çŁ³æ¦´":116859,"åĹ£":116860,"两类":116861,"çĪµå£«":116862,"åŁİ乡å±ħæ°ij":116863,"æŃ¤é¡¹":116864,"缴è¾ĸ":116865,"缴è¾ĸå¸Ĥ":116866,"åij¼åºĶ":116867,"éĴ¯":116868,"ç¦ıå¾·":116869,"æľºèº«":116870,"æĵįåľº":116871,"æ¿Ĵ临":116872,"人群ä¸Ń":116873,"èĤ¡æ°ij":116874,"åŃ½":116875,"æ³ķåħ°":116876,"é¨İ":116877,"糯米":116878,"æĢ»çļĦ":116879,"æĢ»çļĦæĿ¥è¯´":116880,"åħ¸éĽħ":116881,"æĸ°éĻĪ":116882,"æĸ°éĻĪ代谢":116883,"缮çĿ¹":116884,"é¢Ħè¨Ģ":116885,"è·Įçł´":116886,"æĸ°ç¯ĩç«ł":116887,"æ¯ĴæĢ§":116888,"åĸĿèĮ¶":116889,"æŁ¥èİ·":116890,"亮丽":116891,"çĶŁäº§åķĨ":116892,"æĶ¹æĪIJ":116893,"为äºĨæĽ´å¥½":116894,"深交":116895,"深交æīĢ":116896,"æİĥ":116897,"ä¹ĻèĤĿ":116898,"泸å·ŀ":116899,"åħĪè¿ĽæĬĢæľ¯":116900,"è¾ĵç»Ļ":116901,"æķ£æĪ·":116902,"æĢĿç»´æĸ¹å¼ı":116903,"åºĹ主":116904,"è°ĭæ±Ĥ":116905,"游æĪıæĬĢå·§":116906,"ä¸Ģ年级":116907,"çľ¼è§Ĵ":116908,"ä¸Ńä»ĭæľºæŀĦ":116909,"å·§åIJĪ":116910,"éĺ²çĽĹ":116911,"导è´Ń":116912,"æĪĬ":116913,"æĽ´éĢĤåIJĪ":116914,"åŁºæľ¬ä¿¡æģ¯":116915,"马ä¸ģ":116916,"åħ»æ®ĸåľº":116917,"åıįè¿ĩæĿ¥":116918,"æݨå´ĩ":116919,"å¯ĨåĪĩåħ³æ³¨":116920,"åŁºéĩijç»ıçIJĨ":116921,"æĮīéĶ®":116922,"åĨħéĥ¨æݧåĪ¶":116923,"æĪIJåijĺåįķä½į":116924,"æľ¯è¯Ń":116925,"åĪ¶æľį":116926,"åĪļéľĢ":116927,"æ£Ģç´¢":116928,"大大æıIJé«ĺ":116929,"åģ¥åº·ç®¡çIJĨ":116930,"èĩªæѤ":116931,"客æĪ·éľĢæ±Ĥ":116932,"丰èĥ¸":116933,"èµ·éĩį":116934,"èµ·éĩįæľº":116935,"æ¬łç¼º":116936,"æ¡ĪåŃIJ":116937,"æĥħ人èĬĤ":116938,"åħļæł¡":116939,"è¢ľ":116940,"该åī§":116941,"è¿·å¤±ä¼łå¥ĩ":116942,"ç»ļ丽":116943,"åķª":116944,"æĹłç§ģ":116945,"éĢ²ä¸ĢæŃ¥":116946,"第ä¸Ģç«ł":116947,"åĻ¨åħ·":116948,"åĨľèµĦ":116949,"確實":116950,"åºıåĪĹ":116951,"娱ä¹IJå¹³åı°":116952,"èŀįèµĦ秣èµģ":116953,"èµĦæºIJåħ±äº«":116954,"èģ½åĪ°":116955,"æIJŀå¾Ĺ":116956,"继ç»Ńä¿ĿæĮģ":116957,"åIJ¯èĴĻ":116958,"çľº":116959,"ä¸Ŀè·¯":116960,"设æĸ½å»ºè®¾":116961,"æİ¥åľ°":116962,"æİ¥åľ°æ°Ķ":116963,"第ä¸īåŃ£åº¦":116964,"åŁºè°ĥ":116965,"åıijéŁ³":116966,"社ä¼ļèµĦæľ¬":116967,"éĽĩ主":116968,"è¿ŀèĥľ":116969,"没åķ¥":116970,"廢":116971,"赶赴":116972,"æ¼ĶåĮĸ":116973,"åı¤æĢª":116974,"çİĭçĪ·":116975,"é¢ĦåħĪ":116976,"å¼Ģåħ·":116977,"åĽŀé¦ĸ":116978,"åľ°ä¸ĭæ°´":116979,"å°ıç¼ĸä¸Ģèµ·":116980,"èµİåĽŀ":116981,"åľ°è²Į":116982,"åĪĿä¸ī":116983,"åı¯çĶ¨äºİ":116984,"éģĹ迹":116985,"è¿Ļæī¹":116986,"èĸªæ°´":116987,"å¿ħçĦ¶ä¼ļ":116988,"æ²½":116989,"éįĭ":116990,"第ä¸Ģéĥ¨":116991,"åĪĬçī©":116992,"å®ŀä¾ĭ":116993,"æ¸ħåĩĢ":116994,"ä¸ĬèµĽåŃ£":116995,"åĽ¾è¡¨":116996,"éĤ®è½®":116997,"åĵªè£¡":116998,"缸è§ģ":116999,"æī°ä¹±":117000,"æ¯ıæ¯ı":117001,"è¿Ļè¾ĪåŃIJ":117002,"ç¡«éħ¸":117003,"äºī缸":117004,"溯æºIJ":117005,"åĩºä¼Ĺ":117006,"çİīçŁ³":117007,"åħ±çĶŁ":117008,"æŶéĹ´æ®µ":117009,"éĩįè¦ģæĮĩ示":117010,"æ¶Īè´¹éľĢæ±Ĥ":117011,"éķ¿éķ¿":117012,"éķ¿éķ¿çļĦ":117013,"å®īæĬļ":117014,"å¢ŀé«ĺ":117015,"æľ¬è½®":117016,"äº²çľ¼":117017,"é£İæ³¢":117018,"èĢģå¦Ī":117019,"æĶ¶è´¹æłĩåĩĨ":117020,"åĨħéĻĨ":117021,"æĮ¥åıij":117022,"åįĩåѦ":117023,"èĥ¸åīį":117024,"åģıè¿ľ":117025,"纯æ´ģ":117026,"æĸ½å·¥åįķä½į":117027,"身价":117028,"è´¢åĬĽ":117029,"纶":117030,"è£ħçĶ²":117031,"æĺ¾ç¤ºåĻ¨":117032,"毫åįĩ":117033,"æ·±çŁ¥":117034,"èĢ¶ç©":117035,"èĢ¶ç©Į":117036,"è¾ĥéĩı":117037,"åľ¨è¿ĩ渡":117038,"åľ¨è¿ĩæ¸¡æľŁ":117039,"èĮĹ":117040,"ä¸Ģ个æĺŁæľŁ":117041,"èĬ·":117042,"è´¿èµĤ":117043,"æ¿ķ":117044,"æĩĤäºĭ":117045,"秧":117046,"åħħå½ĵ":117047,"åĽ½ç«ĭ":117048,"èĬ±çĵ£":117049,"éĤĦè¦ģ":117050,"åħ¬åľĴ":117051,"触åĬ¨":117052,"æ³°å·ŀ":117053,"ä»Ģä¹Īæł·":117054,"æ»ĭåħ»":117055,"è¯ĦåĪ¤":117056,"æĮ¥æīĭ":117057,"èĦĪ":117058,"姥姥":117059,"è¿IJè´¹":117060,"æ¯ħåĬĽ":117061,"å¿ĥæĻº":117062,"ä¸įæİĴéĻ¤":117063,"第ä¸ī代":117064,"éĢĢè´§":117065,"æĺŁéĻħ":117066,"æ°¸åĪ©":117067,"æĬ¤åį«":117068,"çıŃ车":117069,"è¨Ģè¡Į":117070,"繪":117071,"主åĬ¨æĢ§":117072,"å·¥ç¨ĭè´¨éĩı":117073,"éĥĬåĮº":117074,"ä¸Ģæłĭ":117075,"ä½Ĩå®ŀéĻħä¸Ĭ":117076,"ä¸ī大èģĮä¸ļ":117077,"åij¼åı«":117078,"女åħĴ":117079,"è¯ģåĪ¸æĬķèµĦ":117080,"èĢĥæħ®":117081,"çĤ«èĢĢ":117082,"治好":117083,"åĺ¶":117084,"èĥ¤":117085,"åħīä¼ıåıijçĶµ":117086,"åĩłæŃ¥":117087,"æīĢæīĢ":117088,"æīĢæīĢéķ¿":117089,"çħ§æł·":117090,"åĵ¥ä»¬":117091,"è¯Ľ":117092,"è¿Ļä¸ĢåĪ»":117093,"çŁ¿çī©è´¨":117094,"ä¸įå¾Ĺå·²":117095,"åIJĮ缣":117096,"ç»Ĩå¾®":117097,"è·¯èĻİ":117098,"çĻ¾èĬ±":117099,"æ··æ²Į":117100,"ä¸Ĭæµ·è¯ģåĪ¸":117101,"éĢĢç¨İ":117102,"èµŀåı¹":117103,"æī®æ¼Ķ游æĪı":117104,"åIJįåĪĹ":117105,"åIJįåĪĹåīį":117106,"åIJįåĪĹåīįèĮħ":117107,"ç±³å°Ķ":117108,"ä»Ģä¹ĪåİŁåĽł":117109,"å®īåħ¨ä¿Ŀéļľ":117110,"ä¸Ģåıªæīĭ":117111,"ä¹³ä¸ļ":117112,"ä¸įçĶĺ":117113,"æĥħåķĨ":117114,"æĮ¡ä½ı":117115,"åİŁåĽłä¹ĭä¸Ģ":117116,"è¿Ļ两天":117117,"çĥĺçĦĻ":117118,"豬":117119,"ä½łä»¥ä¸º":117120,"没è§ģè¿ĩ":117121,"åĵªå®¶å¥½":117122,"åīįä»»":117123,"è¿Ľè´§":117124,"éĢĢåĽŀ":117125,"串èģĶ":117126,"èĩ³æĸ¼":117127,"åĨ°æ·ĩ":117128,"åĨ°æ·ĩæ·ĭ":117129,"æŁ¥çľĭ详æĥħ":117130,"çı¾å¯¦":117131,"æݨæµĭ":117132,"æİ¥æīĭ":117133,"éļ¶å±ŀäºİ":117134,"åŁİå¸Ĥ群":117135,"æĿİåħĪçĶŁ":117136,"çŁ¿æ³īæ°´":117137,"çī¹ä»·":117138,"æĽ´å¤ļ精彩":117139,"ç¨ĭå¼ı":117140,"读æĩĤ":117141,"å±ıèĶ½":117142,"奥æŀĹ":117143,"奥æŀĹåĮ¹":117144,"奥æŀĹåĮ¹åħĭ":117145,"红èĸ¯":117146,"奮":117147,"å®Ŀçİī":117148,"網絡":117149,"貧":117150,"欧å¼ı":117151,"çĻ½ç³ĸ":117152,"èĩªçĦ¶çģ¾å®³":117153,"åijĬè¯ī她":117154,"å»ļ":117155,"çĤ¹åĩ»æŁ¥çľĭ":117156,"é£İ湿":117157,"èµĦ产éĩįç»Ħ":117158,"ä¹Łä¸įä¾ĭå¤ĸ":117159,"åįĬ个å°ıæŶ":117160,"åIJ¸å¼ķæĽ´å¤ļ":117161,"æŶéĹ´èĬĤçĤ¹":117162,"æĶ¶çº³":117163,"åIJ¸æ¯Ĵ":117164,"èĢģ乡":117165,"çIJħ":117166,"æľĢçµĤ":117167,"åıįæĦŁ":117168,"çĶ¨å¾®ä¿¡":117169,"çĶ¨å¾®ä¿¡æī«":117170,"éĢŁçİĩ":117171,"大çĨĬçĮ«":117172,"åı¯æĥ³":117173,"åı¯æĥ³èĢĮ":117174,"åı¯æĥ³èĢĮçŁ¥":117175,"åĴ§":117176,"èµ°åħ¥":117177,"碳éħ¸":117178,"èĮĥåĨ°":117179,"èĮĥåĨ°åĨ°":117180,"被åĪ¤":117181,"积æŀģæݨåĬ¨":117182,"足足":117183,"ç²ĴåŃIJ":117184,"大å®Ĺ":117185,"大å®ĹåķĨåĵģ":117186,"ç½ij绾ç§ijæĬĢ":117187,"æĽ¼åŁİ":117188,"å·²ä¹ħ":117189,"å·²ä¹ħçļĦ":117190,"秦çļĩ":117191,"秦çļĩå²Ľ":117192,"ä»»æķĻ":117193,"åĶ¯ç¾İ":117194,"æ·¡åĮĸ":117195,"æ¡ĤèĬ±":117196,"çŁ¥è¯ĨåĪĨåŃIJ":117197,"æĩĴå¾Ĺ":117198,"主åħ¬":117199,"设计çIJĨ念":117200,"賺":117201,"æīĢæıIJä¾Ľ":117202,"æīĢæıIJä¾Ľä¹ĭ":117203,"æĶ»åħĭ":117204,"åĤ¾":117205,"è¯Ńæ³ķ":117206,"åįĥåı¤":117207,"éĸĭæĶ¾":117208,"第ä¸ĢèĬĤ":117209,"éĤĦæ²Ĵ":117210,"éĢĥçĶŁ":117211,"æ³Ĺ":117212,"åİ¿å§Ķ书记":117213,"ä½ľèĢħæīĢæľī":117214,"çħ½":117215,"ç»ħ":117216,"æłħ":117217,"æľ´ç´ł":117218,"çijķçĸµ":117219,"åĮħåĮħ":117220,"æ°ij主åħļ":117221,"ä¸įè¿ľå¤Ħ":117222,"å¥ĩå¼Ĥ":117223,"åĺ»åĺ»":117224,"æī¼":117225,"ç¿»å¼Ģ":117226,"æĢİèĥ½":117227,"éģ´éĢī":117228,"解éĩĭ":117229,"å¹¼ç¨ļ":117230,"è¦ģ好好":117231,"è¶´åľ¨":117232,"ç´¢åıĸ":117233,"ç»ĪçĶŁ":117234,"åħ¨æµģç¨ĭ":117235,"éģ©çķ¶":117236,"åįıè°ĥåıijå±ķ":117237,"æĬ¥ä»ĩ":117238,"ç§ijæĬĢåĽŃ":117239,"ä»Ģä¹Īéĥ½ä¸į":117240,"æľĢåIJİä¸Ģ次":117241,"ç»Ļ人ä¸Ģç§į":117242,"æł¸å®ļ":117243,"被åĪĹåħ¥":117244,"æĦıæĥ³ä¸įåĪ°":117245,"èĢĥæŁ¥":117246,"åľ¨æѤä¹ĭåīį":117247,"æīĵçIJĥ":117248,"è¶ĬæĿ¥è¶Ĭå°ij":117249,"å®ļå¾ĭ":117250,"è¡ĮæĶ¿æľºåħ³":117251,"ä½ıæĪ¿åħ¬ç§¯":117252,"å°ıå§IJå§IJ":117253,"ä¸īèı±":117254,"修补":117255,"èŀĥèŁ¹":117256,"西çĶ²":117257,"æĢł":117258,"çŃīå¤ļ项":117259,"产ä¸ļéĽĨèģļ":117260,"ä»·æł¼ä¸Ĭ涨":117261,"åħ¬åħ±åľºæīĢ":117262,"è¢ĭåŃIJ":117263,"æĨ§æĨ¬":117264,"çļĦæĸ¹å¼ıæĿ¥":117265,"åĪ°è´¦":117266,"çģ½":117267,"å·´èı²":117268,"å·´èı²çī¹":117269,"æ¼Ķä¹ł":117270,"èŃ¦ç¤ºæķĻèĤ²":117271,"çķıæĥ§":117272,"å¼ķæµģ":117273,"æĶ¶æĶ¯":117274,"å±Ĥåĩº":117275,"å±Ĥåĩºä¸į":117276,"å±Ĥåĩºä¸įç©·":117277,"æijĩæ»ļ":117278,"辦çIJĨ":117279,"纵è§Ĥ":117280,"æķijæµİ":117281,"家éĥ½çŁ¥éģĵ":117282,"åĮ¯":117283,"å°ı鸣":117284,"ä»»åĭĻ":117285,"计åħ¥":117286,"ç«ŀéĢī":117287,"å¼ĢèįĴæĹ¶æľŁ":117288,"åij¨æģ©":117289,"åij¨æģ©æĿ¥":117290,"交ç»ĩ":117291,"çķ¢æ¥Ń":117292,"æł¹æį®èĩªå·±":117293,"æĸ°äººçݩ家":117294,"åѵåĮĸåĻ¨":117295,"éĩĩæļĸ":117296,"å¹³åĿĩæ°´å¹³":117297,"åħ¬å¼Ģ课":117298,"失åĪ©":117299,"伺æľį":117300,"çĬģ":117301,"忽æĤł":117302,"主è¦ģéĽĨä¸Ń":117303,"æ¤įæłij":117304,"æ¯ĹéĤ»":117305,"èĩºçģ£":117306,"åĩºåĽ½çķĻåѦ":117307,"æĬĹéľĩ":117308,"æĥ©æĪĴ":117309,"å¹´åºķåīį":117310,"åĴ¸éĺ³":117311,"æ°ijå±ħ":117312,"大çIJĨçŁ³":117313,"éĿ³":117314,"éķĸ":117315,"æ¸ħè¿ľ":117316,"è£ħè½½":117317,"èĩĢ":117318,"å½±ä¸ļ":117319,"å¼ŁåħĦ":117320,"æĤ²è§Ĥ":117321,"çĿĢçľ¼äºİ":117322,"æįįåį«":117323,"åī¥å¤º":117324,"ç¯Ĩ":117325,"å¾Īéķ¿æŶéĹ´":117326,"è¥Ł":117327,"第ä¸ĢçĻ¾":117328,"ä¸ĢåĪĨéĴ±":117329,"æĸ°éĹ»è®°èĢħ":117330,"éķ·æľŁ":117331,"æ³ķæĪĺç»ĦåIJĪ":117332,"è°ģçŁ¥éģĵ":117333,"èħ°éĥ¨":117334,"æ±īåł¡":117335,"åħ¥çĿ¡":117336,"åįĸæİī":117337,"æ¶Īè²»èĢħ":117338,"æĥ¯ä¾ĭ":117339,"æĥ³äºĨ":117340,"æĥ³äºĨæĥ³":117341,"èĢģæŧå°ıåĮº":117342,"ä¼łè¨Ģ":117343,"åĪĨæķ°çº¿":117344,"æµģ泪":117345,"ç»Ħç»ĩé¢Ĩ导":117346,"äºļåĨĽ":117347,"å¢ŀåĢ¼æľįåĬ¡":117348,"å¾¹":117349,"伶":117350,"äºĽè®¸":117351,"å¸ĥèݱ":117352,"强æĤį":117353,"宫廷":117354,"绿èĮ¶":117355,"åĮ¡":117356,"å¾ĪæŃ£å¸¸":117357,"æĺ¥å¤ı":117358,"æ¯Ļ":117359,"è¯Ħæ¯Ķ":117360,"åĩ¡äºĭ":117361,"æĬīæĭ©":117362,"åĢĴéľī":117363,"éĩį度":117364,"åįıä¼ļä¼ļéķ¿":117365,"忧èĻij":117366,"ä¸ĭä¸Ģç¯ĩ":117367,"沪深":117368,"æĪİ":117369,"æīĵä»Ĺ":117370,"åįĪé¥Ń":117371,"å¹´é¾Ħ段":117372,"ä¸ŃåĽ½è¶³çIJĥ":117373,"设计æĸ¹æ¡Ī":117374,"åºĶçĶ¨æŁ¥çľĭ":117375,"é¢ĦæĸĻ":117376,"åĹ¡":117377,"ç¥ĸçĪ¶":117378,"çļĦä¸Ģåijĺ":117379,"æ´Ĺå¹²åĩĢ":117380,"åİĨåı²æĸ°":117381,"åİĨåı²æĸ°é«ĺ":117382,"çĭ¬åħ·":117383,"æħĭ度":117384,"æīĵ交":117385,"æīĵ交éģĵ":117386,"é»ĦçŁ³":117387,"çĽ¼æľĽ":117388,"çī§åľº":117389,"转弯":117390,"åįĩåįİ":117391,"åĨįä¹Łæ²¡æľī":117392,"èĭ±æīį":117393,"æĽ´åIJį为":117394,"åĢŁçĶ¨":117395,"çºłéĶĻ":117396,"ç»Ŀ对ä¸įä¼ļ":117397,"çİĭçīĮ":117398,"çĽĨåľ°":117399,"失è°ĥ":117400,"好象":117401,"é³¥":117402,"ä¿Ŀä¿®":117403,"åĽĽä¸ªèĩªä¿¡":117404,"头çļ®":117405,"åİŁåīĩ":117406,"æĬ¥æ¡Ī":117407,"奴éļ¶":117408,"å³Ļ":117409,"è°ĥæĸĻ":117410,"ä¹Łè¨±":117411,"èIJ½åĪ°":117412,"èIJ½åĪ°å®ŀ":117413,"èIJ½åĪ°å®ŀå¤Ħ":117414,"çĦļçĥ§":117415,"çĶŁæ´»çݯå¢ĥ":117416,"åºĶåıĬæŶ":117417,"è¶Ĭè¿ĩ":117418,"æĦŁè¬Ŀ":117419,"æĻ¯å¾·":117420,"æĻ¯å¾·éķĩ":117421,"çĬĢ":117422,"身éĤĬ":117423,"ç¨İåĬ¡æĢ»å±Ģ":117424,"åĩĢåľŁ":117425,"ä¾µåįł":117426,"åĬ¨å·¥":117427,"å¹´ä¹ĭ":117428,"å¹´ä¹ĭä¹ħ":117429,"第äºĮèĬĤ":117430,"åĬ¨çī©åĽŃ":117431,"第ä¸Ģ书记":117432,"éħļ":117433,"çĶŁäº§è®¾å¤ĩ":117434,"æŁIJç§įç¨ĭ度":117435,"åľŃ":117436,"åĩŃåĢŁçĿĢ":117437,"éĺħè§Ī":117438,"çĻ½æ²Ļ":117439,"æ²¹çĥŁ":117440,"çªģçł´åı£":117441,"åıĹå½±åĵį":117442,"åı¯ä»¥æĽ´å¥½":117443,"å³°åĢ¼":117444,"æĿĤè´¨":117445,"宿è¿ģ":117446,"çĽĺæ´»":117447,"æ¿Ģèµ·":117448,"åĦ¿ç§ij":117449,"åĿIJèIJ½åľ¨":117450,"æĮªå¨ģ":117451,"æµ·å²Ľ":117452,"绣绣":117453,"éĻ¨":117454,"ä¼ĺäºİ":117455,"å°Ī家":117456,"ä¸ĢéĤĬ":117457,"èIJĬ":117458,"äºĨä¸Ģåı£":117459,"æ²ĥå°Ķæ²ĥ":117460,"æŃ£å¸¸ä½¿çĶ¨":117461,"æĻ®éģįåŃĺåľ¨":117462,"丰满":117463,"çĶ»åį·":117464,"åºĶæĶ¶":117465,"åºĶæĶ¶è´¦":117466,"åºĶæĶ¶è´¦æ¬¾":117467,"å®Įæķ´çĥŃ":117468,"å®Įæķ´çĥŃæ¦ľ":117469,"注è§Ĩ":117470,"çĨĦ":117471,"躬":117472,"éĶĢåĶ®äººåijĺ":117473,"è¶ĭåIJij":117474,"çĦ¦æĢ¥":117475,"åįģå¹´åīį":117476,"ä¼łç»Łäº§ä¸ļ":117477,"質éĩı":117478,"åĩ¤åĩ°ç½ij":117479,"èµĦæºIJæķ´åIJĪ":117480,"æ¶Įåħ¥":117481,"æĸĩåĮĸä¼łæĴŃ":117482,"çķĮ第ä¸Ģ":117483,"æ°´æ³µ":117484,"宫殿":117485,"æݢ寻":117486,"ä¿®åīª":117487,"æĦıè¦ĭ":117488,"ç´Ĭä¹±":117489,"æĽī":117490,"çĻ½è¡£":117491,"èĻİåį«":117492,"ç´§æī£":117493,"å¤Ħå¤Ħéķ¿":117494,"åĪĽå»ºå·¥ä½ľ":117495,"红æŀ£":117496,"饼干":117497,"äºĨåįĬ天":117498,"ä¼ļå½±åĵįåĪ°":117499,"çĽ¸ä¿¡å¤§å®¶":117500,"èħ¾é£ŀ":117501,"å°±å¦ĤåIJĮ":117502,"ä¸ĭéĿ¢å°ıç¼ĸ":117503,"æ°ijèIJ¥ç»ıæµİ":117504,"æĻ¦":117505,"è£ħæī®":117506,"é»ijå¤ľ":117507,"常德":117508,"å·¥ä¸ļ大åѦ":117509,"æĺİçŁ¥":117510,"éĺŁåijĺ们":117511,"åIJ¬è¯¾":117512,"æ¯ıéļĶ":117513,"羣æĺ¯å¤ª":117514,"åIJĪä½ľåħ±èµ¢":117515,"çIJĨåıij":117516,"æīįå¹²":117517,"çľĭèµ·ä¾Ĩ":117518,"殿ä¸ĭ":117519,"å®īéĺ³":117520,"æīĢ产çĶŁçļĦ":117521,"éĽĩä½£":117522,"æĬ¬èµ·å¤´":117523,"æį®æĬ¥éģĵ":117524,"éļĨéĩį举è¡Į":117525,"交éĶĻ":117526,"è¶ħé¢Ŀ":117527,"åĮĸçĸĹ":117528,"é¡Ĩ":117529,"纵深":117530,"çĪ±åĽ½ä¸»ä¹ī":117531,"éĻ¢åī¯éĻ¢éķ¿":117532,"讳":117533,"羣æŃ£åģļåĪ°":117534,"åѤåįķ":117535,"èĩªçĦ¶èĢĮ":117536,"èĩªçĦ¶èĢĮçĦ¶":117537,"修身":117538,"èĬ¹":117539,"æģ¯æģ¯":117540,"æģ¯æģ¯çĽ¸åħ³":117541,"é©¾æł¡":117542,"æݩ饰":117543,"æ³½è¿ŀ":117544,"æ³½è¿ŀæĸ¯åŁº":117545,"举æŃ¢":117546,"管çIJĨä½ĵåĪ¶":117547,"åħ¶ä¸Ńä¹ĭä¸Ģ":117548,"æĿ¾å¼Ľ":117549,"æĭ¦æĪª":117550,"åį«åģ¥":117551,"åį«åģ¥å§Ķ":117552,"ä»İåݻ年":117553,"åĤ¢":117554,"è´Ń票":117555,"åĽ¾æłĩ":117556,"河西":117557,"æ°ijæĶ¿å±Ģ":117558,"ç§ģèIJ¥":117559,"å¤ĸåĽ½è¯Ń":117560,"干货":117561,"æĵ¦æĭŃ":117562,"åľ°ä¸Ń":117563,"åľ°ä¸Ńæµ·":117564,"æµĵæµĵ":117565,"æµĵæµĵçļĦ":117566,"å§ĭ建":117567,"å§ĭ建äºİ":117568,"ç¶ĵæŃ·":117569,"è·¯æ¼Ķ":117570,"æļ´é£İ":117571,"åŁºè¾ħ":117572,"æī¶è´«å·¥ä½ľ":117573,"ä¸Ģ缴å¤Ħäºİ":117574,"æĥħ趣":117575,"äºĮåŃ£åº¦":117576,"åİĮæģ¶":117577,"顺åĪ©å®ĮæĪIJ":117578,"æŁ¥å°ģ":117579,"顶端":117580,"ä¸įåŃķ":117581,"ä¸Ģ大åłĨ":117582,"被æ·ĺæ±°":117583,"æĺ¯çĶ¨æĿ¥":117584,"æľĢåIJĪéĢĤ":117585,"äº®çľ¼":117586,"并ä¸įæĺ¯å¾Ī":117587,"ç§ijçłĶéĻ¢":117588,"ç§ijçłĶéĻ¢æīĢ":117589,"ç²Ł":117590,"é¢Īéĥ¨":117591,"é»ĺé»ĺåľ°":117592,"é«ĺä¸ŃçĶŁ":117593,"æĹıèĩªæ²»åİ¿":117594,"æķĻåŃ¦è´¨éĩı":117595,"æĪĺçģ«":117596,"åĿİåĿ·":117597,"æIJŃä¹ĺ":117598,"è¯ĹæĦı":117599,"åĪijèѦ":117600,"åĩºæ±Ĺ":117601,"åįģåħŃæĿ¡":117602,"请åıĬæŶ":117603,"åĨľä¸ļ大åѦ":117604,"èIJ½åı¶":117605,"æĢ»èĢĮè¨Ģ":117606,"æĢ»èĢĮè¨Ģä¹ĭ":117607,"æĿľåħ°":117608,"æĿľåħ°çī¹":117609,"éĻªä½ł":117610,"åħ¬æĬ¥":117611,"çķĻè¨ĢæĿ¿":117612,"éĺħåİĨ":117613,"競çĪŃ":117614,"ç»ĻåĪ«äºº":117615,"æĹ¥æĬ¥ç¤¾":117616,"åĿIJèIJ½":117617,"åĿIJèIJ½äºİ":117618,"éĩijåŃĹ":117619,"éĩijåŃĹå¡Ķ":117620,"åĽ¤":117621,"è¯Ŀåī§":117622,"æĮģç»Ńæİ¨è¿Ľ":117623,"æ¼ıæ°´":117624,"詳細":117625,"æĢĢæĬ±":117626,"åıĺå¹»":117627,"饥饿":117628,"éļIJ身":117629,"ä¸ªèµĽåŃ£":117630,"åĵ¡å·¥":117631,"æģ¢å¤įæŃ£å¸¸":117632,"äºĨ好å¤ļ":117633,"æĺŁå·´":117634,"æĺŁå·´åħĭ":117635,"åħīçݯ":117636,"å¸ħåĵ¥":117637,"çĻ½éĽª":117638,"ç¨įç¨į":117639,"计æıIJ":117640,"æĦĽæĥħ":117641,"éİĸ":117642,"ä¿¡éĺ³":117643,"è§Ģå¯Ł":117644,"å¦Ĥæŀľä½łæĥ³":117645,"缸æ¯Ķä¹ĭä¸ĭ":117646,"解å¼Ģ":117647,"æīĵåį°æľº":117648,"身躯":117649,"ç²¾ç¥ŀæĸĩæĺİ":117650,"èĤ¡æĮĩ":117651,"å¾®åĪĽ":117652,"红èĮ¶":117653,"èĩ´çĻĮ":117654,"æģ©æĸ½":117655,"èħ¿éĥ¨":117656,"大åŀĭå¤ļ人":117657,"å®īåĢį":117658,"è¾ħ导åijĺ":117659,"èĪªéģĵ":117660,"å¸ĥå°Ķ":117661,"åįĹå®ģå¸Ĥ":117662,"ä¸ĬçıŃæĹı":117663,"侧ç»ĵæŀĦæĢ§":117664,"追éļı":117665,"å½ĵåľ°æĶ¿åºľ":117666,"èµ°åĩºæĿ¥":117667,"éĩijèŀįä¸ļ":117668,"ä¸Ľä¹¦":117669,"é¡¹çĽ®ç»ıçIJĨ":117670,"è¿ĩæĪ·":117671,"骨æŀ¶":117672,"è¡Ļ":117673,"ä»Ģ麽":117674,"èħĭ":117675,"è¦ģ害":117676,"åľ¨åºĬä¸Ĭ":117677,"代è¨Ģ人":117678,"並å°ĩ":117679,"åIJĦ个æĸ¹éĿ¢":117680,"è°´è´£":117681,"åħ±æĮ¯":117682,"åį³å°ĨåĪ°æĿ¥":117683,"èĤºçĻĮ":117684,"ä¾ĽéĶĢ":117685,"丼æŀĹ":117686,"èµĥ":117687,"åįģä½Ļå¹´":117688,"åĭĺæİ¢":117689,"飵åij³":117690,"èĭ¦ç¬ij":117691,"æľĢ大ç¨ĭ度":117692,"éĩįçĤ¹åħ³æ³¨":117693,"ä¹ĭ举":117694,"满æĢĢ":117695,"åıĹåĪ°å½±åĵį":117696,"æĭĽæĬķæłĩ":117697,"è¡¥é½IJ":117698,"西红":117699,"è¥¿çº¢æŁ¿":117700,"鬧":117701,"è£ħåį¸":117702,"éĤ»éĩĮ":117703,"èĤĩäºĭ":117704,"æİĴæ¯Ĵ":117705,"åѤåĦ¿":117706,"鼶è·Ŀ离":117707,"å®ŀå¹²":117708,"çľĭæŁ¥çľĭ":117709,"æĶ¶è´¹ç«Ļ":117710,"ç»·":117711,"åħ¬çĽĬæĢ§":117712,"éĢĴç»Ļ":117713,"æĶ»æīĵ":117714,"æĺŁçº§éħĴåºĹ":117715,"æĺİåªļ":117716,"çį¨ç«ĭ":117717,"è¯Ŀè¯ŃæĿĥ":117718,"ä¸ĢæŃ¥ä¸ĢæŃ¥":117719,"书æ³ķ家":117720,"æľªç»ıæİĪæĿĥ":117721,"çŁ³èĨı":117722,"åĩŃä»Ģä¹Ī":117723,"çļĦæĹ¥":117724,"çļĦæĹ¥åŃIJéĩĮ":117725,"诱人":117726,"çĻ¾åĪĨçĻ¾":117727,"èĪĪ趣":117728,"å¼łåħĪçĶŁ":117729,"èĢģçĪ·åŃIJ":117730,"æ³¢çī¹":117731,"åŁºéĩij份é¢Ŀ":117732,"æ²Ļåıijä¸Ĭ":117733,"å¥ĭæĸĹ缮æłĩ":117734,"æ°¢èĥ½":117735,"æ²ĥå°ĶçİĽ":117736,"義åĭĻ":117737,"éŁ³ç®±":117738,"æ²ī浸":117739,"æ²īæµ¸åľ¨":117740,"èĭ±åľĭ":117741,"çģ¯çģ«":117742,"è¿Ľé¡¹":117743,"两端":117744,"ä¹Ķ丹":117745,"èĦ¸é¢Ĭ":117746,"åıijå±ķæ½ľåĬĽ":117747,"åĭķä½ľ":117748,"åĵĪä½Ľ":117749,"å®´ä¼ļ":117750,"æ§į":117751,"ç«ĭå¿Ĺ":117752,"ç¡ķ士åѦä½į":117753,"åĭĭç«ł":117754,"è¿Ļåľºæ¯ĶèµĽ":117755,"æĮģå¹³":117756,"éķĢéĶĮ":117757,"èĭ±çī¹":117758,"èĭ±çī¹å°Ķ":117759,"æķĻèģĮå·¥":117760,"åĬŁåĬĽ":117761,"该æ¡Ī":117762,"ä¸Ģæ¢Ŀ":117763,"åĺīå¹´":117764,"åĺīå¹´åįİ":117765,"è¿«ä¸įåıĬ":117766,"è¿«ä¸įåıĬå¾ħ":117767,"è¿Ļ个æĹ¶ä»£":117768,"精彩æĴŃæĬ¥":117769,"人èĦ¸":117770,"人èĦ¸è¯ĨåĪ«":117771,"æ£Ģå¯Łå®ĺ":117772,"å°ıèħ¿":117773,"éĨĴ缮":117774,"åħļæĢ»":117775,"åħļæĢ»æĶ¯":117776,"æĪŁ":117777,"èĮ«çĦ¶":117778,"è±ĨæµĨ":117779,"主治":117780,"éĿĴæµ·çľģ":117781,"åĪijäºĭ责任":117782,"çł°":117783,"ä¹ĭæ¬ĬåĪ©":117784,"äºĶå®ĺ":117785,"è¿·æĥij":117786,"åħ¥åºĵ":117787,"家纺":117788,"弹簧":117789,"åįģäºĶæĿ¡":117790,"ç»Ļå®Ŀå®Ŀ":117791,"èĪªç©ºèĪªå¤©":117792,"å¾Ģå¤ĸ":117793,"å¼ķåĬĽ":117794,"çľ¼çļ®":117795,"æ¶ī足":117796,"æĿ¥å®¾":117797,"åľ¨çº¿è§Ĵèī²":117798,"çĥŃéĶĢ":117799,"æµģéĢĿ":117800,"泡泡":117801,"éĻįå¹ħ":117802,"è´ŁéĿ¢å½±åĵį":117803,"红楼":117804,"红楼梦":117805,"éļĶçĿĢ":117806,"侥幸":117807,"许ä¹ħ":117808,"åĴĮçĿ¦":117809,"èŃ½":117810,"使çĶ¨èĢħæĪĸ":117811,"ä¹°åįķ":117812,"è¿´":117813,"é£İæīĩ":117814,"æķĻ師":117815,"æ¡ĮåŃIJä¸Ĭ":117816,"å¾Īæ¼Ĥ亮":117817,"åł±å°İ":117818,"第ä¸ĢåŃ£åº¦":117819,"ç©©å®ļ":117820,"æĤ²åĵĢ":117821,"çĿĢåĬĽæīĵéĢł":117822,"æĮŁ":117823,"路桥":117824,"åijIJ":117825,"åľ£è¯ŀèĬĤ":117826,"çļĩåŃIJ":117827,"ä»ĩæģ¨":117828,"éħĿéħ¿":117829,"ä¸įéĹ´":117830,"ä¸įéĹ´æĸŃ":117831,"æĮĩå°ĸ":117832,"ä¸ŃåĽ½ç½ij游":117833,"åŀ£":117834,"æĦıè§ģ建议":117835,"æ¯ħçĦ¶":117836,"亮度":117837,"èģĶè°Ĭ":117838,"å½ķåħ¥":117839,"åĦ²":117840,"å¨ĺ家":117841,"ç§ijå°Ķ":117842,"ä¹Łæ²¡ä»Ģä¹Ī":117843,"æł¹æį®ä¸įåIJĮ":117844,"åı¶ä¿®":117845,"åĢ¼å®Ī":117846,"æľ«ç«¯":117847,"åĪ¨":117848,"åĤµåĭĻ":117849,"èģ¯åIJĪ":117850,"å¥ĩå¹»":117851,"èĻļæŀĦ":117852,"é»Ħæĺı":117853,"å¹³åĿ¦":117854,"æµģæ°ĵ":117855,"æĸ°åŁºå»º":117856,"æĮ½æķij":117857,"åįİå°Ķ":117858,"åįİå°Ķè¡Ĺ":117859,"æľĢåıĹ欢è¿İ":117860,"ç»Ń约":117861,"å¼Ĭ端":117862,"éŃĶæ³ķå¸Ī":117863,"éŃĶæ³ķå¸ĪåĴĮ":117864,"åħ·ä½ĵåĨħ容":117865,"çIJīçĴĥ":117866,"æī©å®¹":117867,"èĮ¶åĽŃ":117868,"主ä¹īèĢħ":117869,"ç«ĭéĿ¢":117870,"æİ¥åıĹéĩĩ访":117871,"åĩºåħ¥å¢ĥ":117872,"ç§ijåįı":117873,"éĴ³":117874,"çµIJæ§ĭ":117875,"ç»ĵæŀľæĺ¾ç¤º":117876,"åı°è´¦":117877,"å°±æĿ¥çľĭçľĭ":117878,"èĩªæķij":117879,"åıįæĩī":117880,"åİ»åĵªåĦ¿":117881,"è¿Ļé¦ĸ":117882,"è¿Ļé¦ĸæŃĮ":117883,"åIJ¬ä¼Ĺ":117884,"å¤ĸ壳":117885,"ä½ĵèĤ²é¦Ĩ":117886,"實æĸ½":117887,"èŀºä¸Ŀ":117888,"æĭīåįĩ":117889,"çĮĽåľ°":117890,"åħ¨åĽ½äººæ°ij":117891,"æĤīå°¼":117892,"æĹı群":117893,"åĽ¢åijĺ":117894,"两个å°ıæŶ":117895,"åľ¨çݩ家":117896,"åľ¨çݩ家ä¸Ń":117897,"çĶľçĶľ":117898,"æĬķè¡Į":117899,"åįĶæľĥ":117900,"éĻ¡":117901,"åĬłå·¥åİĤ":117902,"æ¦ĨæŀĹ":117903,"æŃ»è§Ĵ":117904,"åĨħå¹ķ":117905,"æīĢæľīæĥħèĬĤ":117906,"åĪ·åį¡":117907,"æ°´èĤ¿":117908,"èĥĥåı£":117909,"å«Įå¼ĥ":117910,"沮丧":117911,"ä¸ī年级":117912,"æ¶Ĥå±Ĥ":117913,"å¿ĥ仪":117914,"å¿ĥ仪çļĦ":117915,"å¤Ń":117916,"é¦ĸè½®":117917,"æĹłè®ºæĺ¯åħ¶":117918,"éĢıæ°Ķ":117919,"äºĮåįģäºĶ":117920,"箫":117921,"åĬŁåĬ³":117922,"çŃ¾ä¸ĭ":117923,"æ²īè¿·":117924,"æķijåij½":117925,"éĹªéĹª":117926,"åIJĥäºı":117927,"å±ķåĵģ":117928,"åį³æŶåıijçĶŁ":117929,"綾":117930,"綾åIJĪ":117931,"æłĩæĺİ":117932,"çľĭçĶµå½±":117933,"åħ¬ç«ł":117934,"éĺ¿æ£®":117935,"éĺ¿æ£®çº³":117936,"身åĪĽéĢł":117937,"身åĪĽéĢłçļĦ":117938,"æ¸Ľå°ij":117939,"åĢ¼å¾Ĺåħ³æ³¨":117940,"鼶åĶ®åķĨ":117941,"æįĨç»ij":117942,"è¸ıåħ¥":117943,"èĽŁ":117944,"æŁ´çº³":117945,"èĢģåħµ":117946,"绿èī²çݯä¿Ŀ":117947,"é¹Ń":117948,"éº»æľ¨":117949,"æıŃçīĮ":117950,"è¿Ļ款车":117951,"ç¾İå¾·":117952,"ç¾İå¾·åħ¬åı¸":117953,"涧":117954,"è°ģçŁ¥":117955,"æ´ĭèij±":117956,"æ¯įæł¡":117957,"ä¸ĢéĹª":117958,"çĶ·ä¸»è§Ĵ":117959,"æĹłçº¿çĶµ":117960,"å±łå®°":117961,"æĺ¯éŁ©åĽ½":117962,"æĺ¯éŁ©åĽ½å¨±":117963,"容è²Į":117964,"åĿĩ使åħ¶":117965,"太快":117966,"å¹´çĶ±":117967,"å¹´çĶ±çĽĽ":117968,"èĭ¦èĭ¦":117969,"åĬĽè¿ĺæĺ¯":117970,"åĬĽè¿ĺæĺ¯èĩª":117971,"æĨ©":117972,"èģ¯çµ¡":117973,"åĶ¾":117974,"åħ·æľīæĪĺ士":117975,"追éĹ®":117976,"åłĨæĶ¾":117977,"åıį驳":117978,"å®ŀäºĭæ±Ĥ":117979,"å®ŀäºĭæ±Ĥæĺ¯":117980,"åѸéĻ¢":117981,"åįģåĩłä¸ª":117982,"æķijæĬ¤":117983,"æķijæĬ¤è½¦":117984,"ç½ijç»ľä¼łæĴŃ":117985,"åįģåħ«å±Ĭ":117986,"éĥ¨åī¯":117987,"éĥ¨åī¯éĥ¨éķ¿":117988,"çĹ´è¿·":117989,"管çIJĨæĿ¡ä¾ĭ":117990,"èŀį为ä¸Ģä½ĵ":117991,"æĢ»äº§åĢ¼":117992,"è³ĵ":117993,"ä¸ĥæĺŁ":117994,"çıŃç»Ħ":117995,"绣é¢Ĩ":117996,"请大家":117997,"éĩijéĻµ":117998,"èĪħèĪħ":117999,"æµ·æ¹¾":118000,"æĸ½çŃĸ":118001,"享èªī":118002,"麥":118003,"端åįĪ":118004,"绿åŁİ":118005,"確ä¿Ŀ":118006,"å·´æĭī":118007,"åĨĴçĿĢ":118008,"æħ·æħ¨":118009,"个人è§ĤçĤ¹":118010,"ä¹Ļçĥ¯":118011,"ç¡ħè°·":118012,"éĸĭå±ķ":118013,"å°ļ书":118014,"åĿļ飧":118015,"庵":118016,"èĢģé¾Ħ":118017,"èĢģé¾ĦåĮĸ":118018,"çľ¨çľ¼":118019,"绿水":118020,"绿水éĿĴå±±":118021,"书é¦Ļ":118022,"主åĬĽåĨĽ":118023,"æīįæĺ¯çľŁæŃ£":118024,"æĬ¢åħĪ":118025,"æĪIJå°±æĦŁ":118026,"éĩįæŀĦ":118027,"éĴ¢åİĤ":118028,"æĪIJ份":118029,"èĬ±çº¹":118030,"ä¹ĭäºī":118031,"å¹²ç»Ĩèĥŀ":118032,"æĹ¢åı¯ä»¥":118033,"ç¹ģçIJIJ":118034,"æĦļèł¢":118035,"éĿŀ常æĺİæĺ¾":118036,"ä½ĵ彩":118037,"æĬĢæ³ķ":118038,"æĿĨèıĮ":118039,"å¹¿æ³Ľåħ³æ³¨":118040,"åĮĹå®ĭ":118041,"å§Ĭ妹":118042,"åįıåĬŀ":118043,"æ·®åįĹ":118044,"çĥı":118045,"æ´ĹèĦ¸":118046,"åıĹ访":118047,"åıĹ访èĢħ":118048,"éĩįè¦ģåĽłç´ł":118049,"å½±è§Ĩåī§":118050,"综èīºèĬĤ缮":118051,"èľķåıĺ":118052,"äºĮ线":118053,"äºĮ线åŁİå¸Ĥ":118054,"ä¼Ĭå§ĭ":118055,"çıĬçijļ":118056,"èĩªæŁ¥":118057,"åħ¥åĽŃ":118058,"åĩ¶æīĭ":118059,"åħ¬è¯ī":118060,"éģĩéļ¾":118061,"éĩĩçŁ¿çŃī":118062,"èĩªçIJĨ":118063,"åĸ·æ¶Ĥ":118064,"æī©åħħ":118065,"éĢıè§Ĩ":118066,"é«ĺéĢŁå¢ŀéķ¿":118067,"åĽ¾çĶ»":118068,"ç¾¹":118069,"èĤĩåºĨ":118070,"è¾ľè´Ł":118071,"èµĶä»ĺ":118072,"è·¡":118073,"åģ¥åº·æĪIJéķ¿":118074,"以ä¸ĬåѦåİĨ":118075,"åıĸå¾Ĺ以åıĬ":118076,"æ²ī积":118077,"åįģä¹Ŀå±Ĭ":118078,"缸éĹľæľįåĭĻ":118079,"æī§åĭ¤":118080,"åī¯åİ¿éķ¿":118081,"寰":118082,"åģľæ»ŀ":118083,"淹没":118084,"çŁ³çģ°":118085,"çį¸":118086,"åĢ¦":118087,"ç¾İåªĴ":118088,"æķĻæ¡Ī":118089,"åĬłçĽĸ":118090,"åħ¬å¼ĢèµĽ":118091,"å¥łåŁº":118092,"æĺĨèĻ«":118093,"çŀħ":118094,"磷éħ¸":118095,"äºīåĪĽ":118096,"çİĭæĻĵ":118097,"ç¼ĵåĨ²":118098,"åİļåİļ":118099,"åİļåİļçļĦ":118100,"æŀ£åºĦ":118101,"ç²¾çĽĬ":118102,"ç²¾çĽĬæ±Ĥ":118103,"ç²¾çĽĬæ±Ĥç²¾":118104,"åĪĨæĶ¯æľºæŀĦ":118105,"å®ŀæĸ½ç»ĨåĪĻ":118106,"æĸ°èµĽåŃ£":118107,"總統":118108,"éĢłè¡Ģ":118109,"é¢ĩåħ·":118110,"é»ĦåŁĶ":118111,"è¡ĢèĦĤ":118112,"交éĢļå·¥åħ·":118113,"å³¥":118114,"æĹıèĩªæ²»å·ŀ":118115,"寺éĻ¢":118116,"確å®ļ":118117,"æ¦Ĥ念èĤ¡":118118,"æĦŁå®ĺ":118119,"æŁľåı°":118120,"åĶĶ":118121,"çŀŃ解並":118122,"æĢ»ä»·":118123,"åIJ¸åħ¥":118124,"æĢ¼":118125,"æĻļéĹ´":118126,"å±Ĭæ¯ķä¸ļçĶŁ":118127,"çĶŁå§ľ":118128,"éĺħ读åħ¨æĸĩ":118129,"å¾ĹåĪ°æľīæķĪ":118130,"æIJľæķij":118131,"åİĨæĿ¥":118132,"èŃīæĺİ":118133,"åĥ»":118134,"èĨ³é£Ł":118135,"åĦĦåħĥ":118136,"æīĵåİĭ":118137,"宾客":118138,"åķ¼":118139,"ä¸ĢçĻ¾å¤ļ":118140,"æ·±åħ¥äººå¿ĥ":118141,"æ¢ħå·ŀ":118142,"çłĶåѦ":118143,"åħ³ä¹İ":118144,"è¼Ľ":118145,"亲åıĭ":118146,"éħįæĸĻ":118147,"æĪijçĪ±ä½ł":118148,"è´¸æĺĵæĪĺ":118149,"æľīèī²":118150,"æľīèī²éĩijå±ŀ":118151,"æįIJåĬ©":118152,"为é¦ĸ":118153,"为é¦ĸçļĦ":118154,"å¯ĮåĬĽ":118155,"çĶ·ç¥ŀ":118156,"é³³":118157,"æµĩæ°´":118158,"åIJ±":118159,"æĺİç¡®æıIJåĩº":118160,"åı¹äºĨ":118161,"åı¹äºĨåı£æ°Ķ":118162,"礼æĭľ":118163,"è¿Ļ个åIJįåŃĹ":118164,"ä¿¡å¾Ĵ":118165,"å¿Ĺ强":118166,"éĻIJæŶ":118167,"æĶ¶è²»":118168,"åĨľå®¶ä¹IJ":118169,"å°ıé¾ĻèĻ¾":118170,"èIJ½å¹ķ":118171,"æ§Ł":118172,"åѦ龸":118173,"æĪĸå¤ļ":118174,"æĪĸå¤ļæĪĸ":118175,"æĪĸå¤ļæĪĸå°ij":118176,"座è°Īä¼ļä¸Ĭ":118177,"涼":118178,"éŃĶçİĭ":118179,"å²±":118180,"顶å±Ĥ":118181,"顶å±Ĥ设计":118182,"èĦijåŃIJéĩĮ":118183,"éĻ¢åŃIJéĩĮ":118184,"轩è¾ķ":118185,"身å¿ĥåģ¥åº·":118186,"èħij":118187,"éĹľæ³¨":118188,"åıĤåĬłä¼ļè®®":118189,"ä¸ŃåįİæĸĩåĮĸ":118190,"追寻":118191,"å®īçĦ¶":118192,"é£Ļåįĩ":118193,"éŁŃèıľ":118194,"鸦":118195,"åĤ¨éĩı":118196,"çĶ·æĸ¹":118197,"å¤ĩ份":118198,"æijĶåĢĴ":118199,"润æ»ijæ²¹":118200,"éĢ¼è¿ij":118201,"çĶ³è¯ī":118202,"鸣类":118203,"çŁ³æ²¹åĮĸå·¥":118204,"åĿļæŀľ":118205,"è¿Ļ家ä¼Ļ":118206,"æĭĴä¸į":118207,"羣çļ®":118208,"è·ĿéĽ¢":118209,"è¿ĺæĮº":118210,"éĽķåĥı":118211,"åĪĿæģĭ":118212,"æıIJä¾ĽæĽ´å¤ļ":118213,"æŁ¥çľĭåħ¨æĸĩ":118214,"æķ°åŃĹè´§å¸ģ":118215,"åĸīåĴĻ":118216,"åı¦ä¸Ģä½į":118217,"åĤ¬åĮĸ":118218,"åĤ¬åĮĸåīĤ":118219,"ä»İæĿ¥æ²¡":118220,"å¯ĨåĪĩ缸åħ³":118221,"éĥ¨ä¸»ä»»":118222,"产åĵģç»ıçIJĨ":118223,"並åIJĮæĦı":118224,"èIJ½åħ¥":118225,"å±ıå¹ķä¸Ĭ":118226,"åħ¬åı¸ç«łç¨ĭ":118227,"æį¢åı¥è¯Ŀ":118228,"æį¢åı¥è¯Ŀ说":118229,"ä½įæĸ¼":118230,"ä½Ķ":118231,"åĩ»æĿĢ":118232,"缸è¾ĥ":118233,"缸è¾ĥäºİ":118234,"ç²½åŃIJ":118235,"åįĹæŀģ":118236,"宫é¢Ī":118237,"è£ģåijĺ":118238,"æĺİç»Ĩ":118239,"ä»·åĢ¼éĵ¾":118240,"åĽĽä¸ªæĸ¹éĿ¢":118241,"æĥħåĨµæĿ¥çľĭ":118242,"æĮijåīĶ":118243,"æ®ĺ":118244,"æŀģåĬĽ":118245,"çĸijéļ¾":118246,"æĬµæĬĹåĬĽ":118247,"æĢ¥éĢŁ":118248,"æĪĮ":118249,"ä½İä¼°":118250,"éĹªè¿ĩ":118251,"æģ¬":118252,"èµŀæī¬":118253,"ä»ĸå¦Ī":118254,"æĪIJ为ä¸ĢåIJį":118255,"æ´Ĺ礼":118256,"é¢Ħ计å°Ĩ":118257,"åħĪè¿Ľåįķä½į":118258,"è¼Ķ":118259,"éĢĥèĦ±":118260,"çİ°åŃĺ":118261,"èĢģèĻİæľº":118262,"åįģä¸ĥæĿ¡":118263,"åı¦ä¸ĢåįĬ":118264,"温æĥħ":118265,"åī¥ç¦»":118266,"ä¸ĸè´¸":118267,"å®ĺåı¸":118268,"å¾Īå·®":118269,"éĹ´è·Ŀ":118270,"请注æĦı":118271,"åı²è¯Ĺ":118272,"åĪ©åĻ¨":118273,"è¿IJç®Ĺ":118274,"沦为":118275,"該使çĶ¨èĢħ":118276,"èĮ¬":118277,"éĶ¦ç»£":118278,"åı²æĸĻ":118279,"çģµæ´»æĢ§":118280,"èģĶ社":118281,"æĹłåĬ©":118282,"æĬĹæ°§åĮĸ":118283,"èıľèĤ´":118284,"éĢłèĪ¹":118285,"æİīèIJ½":118286,"å¤įæŁ¥":118287,"åĭĥåĭĥ":118288,"åij¼å£°":118289,"給äºĪ":118290,"åIJĮäºĭ们":118291,"ç½°":118292,"è¯ķæİ¢":118293,"åħ³éĶ®åŃĹ":118294,"æįIJçĮ®":118295,"ç»Łè®¡æķ°æį®":118296,"åĪĽä½ľèĢħ":118297,"ä¸ĭåįĬ":118298,"ä¸ĭåįĬåľº":118299,"æī¿æĭħ责任":118300,"端æŃ£":118301,"ç©¿è¡£":118302,"ä¼łçIJĥ":118303,"åĬ©éķ¿":118304,"åĩ±":118305,"éķ¶åµĮ":118306,"é£ŀç¿Ķ":118307,"è¾ĵåįµ":118308,"è¾ĵåįµç®¡":118309,"ä¸ĩåħ¬éĩĮ":118310,"æݨ广åºĶçĶ¨":118311,"å¿«æ¨Ĥ":118312,"秽":118313,"èī°å·¨":118314,"åIJ¬å®Į":118315,"åĿļ硬":118316,"å¥¥åľ°":118317,"å¥¥åľ°åĪ©":118318,"é¢ĵ":118319,"èĻIJå¾ħ":118320,"ä¾Ľæ±Ĥ":118321,"éľīç´ł":118322,"伪è£ħ":118323,"ä¹¡åľŁ":118324,"åĩ¡æľ¬ç½ij":118325,"åĩ¡æľ¬ç½ij注":118326,"ä¼ĬåĪ©":118327,"è¡¡æ°´":118328,"æĽ´åĥıæĺ¯":118329,"åĪĨéĴŁå·¦åı³":118330,"è¦ı模":118331,"äºĶåĪĨéĴŁ":118332,"åºĹåĬłçĽŁ":118333,"åĽ°éĽ£":118334,"åħ³åģľ":118335,"æĢĿ绪":118336,"åĴ½åĸī":118337,"缸符":118338,"çĥ¦èºģ":118339,"æĻĤæľŁ":118340,"åijĪçı¾":118341,"解æķ£":118342,"诱导":118343,"éļĶçĥŃ":118344,"çĮ¶":118345,"åįĹå®ĭ":118346,"æ·±åħ¥äºĨ解":118347,"çŃĶçĸij":118348,"æĺ¼å¤ľ":118349,"åįĥä¼ı":118350,"åĬ³åĬ¡æ´¾éģ£":118351,"红è±Ĩ":118352,"åĿıäºĭ":118353,"çĤ¹æ»´":118354,"å°±ä¸ļå²Ĺä½į":118355,"约åIJĪ":118356,"åħįéĻ¤":118357,"éĢĨåĬ¿":118358,"éĩįéĩijå±ŀ":118359,"å®ĺ宣":118360,"ä½İå»ī":118361,"æģ¨ä¸įå¾Ĺ":118362,"å¾Ĺ天":118363,"å¾Ĺ天çĭ¬":118364,"å¾Ĺ天çĭ¬åİļ":118365,"ä¸Ģå°ģä¿¡":118366,"æĬ½å¥ĸ":118367,"è¾Ĺ转":118368,"çķĻå®Ī":118369,"çķĻå®ĪåĦ¿ç«¥":118370,"çŃĶåį·":118371,"å·¨åŀĭ":118372,"æľĢ好ä¸įè¦ģ":118373,"æµĻæ±Łå¤§åѦ":118374,"æĨ¨":118375,"æı¡æīĭ":118376,"éĴĪç»ĩ":118377,"æİĴ骨":118378,"çĤ½":118379,"å°ģè£ħ":118380,"åįĢåŁŁ":118381,"空æ°ĶåĩĢåĮĸ":118382,"åħīå½±":118383,"åĢĴå¡Į":118384,"å§ļæĺİ":118385,"æ¤į被":118386,"åѦåīį":118387,"åѦåīįæķĻèĤ²":118388,"èĬĿåĬł":118389,"èĬĿåĬłåĵ¥":118390,"缩水":118391,"ä½Ł":118392,"åľ¨çº¿åĴ¨è¯¢":118393,"èµıæŀIJ":118394,"éĿĴèĽĻ":118395,"æĬ±ä½ı":118396,"èĮĤåIJį":118397,"åħ¨åĬĽæīĵéĢł":118398,"åįļ士åѦä½į":118399,"沧å·ŀ":118400,"åĻ¢":118401,"æĿĤçī©":118402,"åĪ»çĶ»":118403,"æįħ":118404,"å¾®éĩı":118405,"å¾®éĩıåħĥç´ł":118406,"ä¸ĢåĽŀäºĭ":118407,"鸡èĤī":118408,"åĪ©æ¶¦çİĩ":118409,"æīįç®Ĺ":118410,"å¾®å¦Ļ":118411,"棵æłij":118412,"贪婪":118413,"åĩıåĢ¼":118414,"梦å¢ĥ":118415,"åı¯è§Ĩ":118416,"åı¯è§ĨåĮĸ":118417,"广大å¸Ĥæ°ij":118418,"ä¸ĵä¸ļä»İäºĭ":118419,"ç»ı纬":118420,"ç´§çĽ¯":118421,"çŁ¥å·±":118422,"è¤ļ":118423,"æĸĩåĮĸåºķèķ´":118424,"åݦéŨå¸Ĥ":118425,"临港":118426,"对åħ¶çľŁå®ŀ":118427,"岸边":118428,"è¦ĸçĤº":118429,"æĬĹçĻĮ":118430,"åĶIJå®ĩ":118431,"ä¸įå¾Ĺè¶ħè¿ĩ":118432,"å¨ģæħij":118433,"æ¡Ĩæŀ¶åįıè®®":118434,"èµ°ç§ģ":118435,"åĽ¢å§Ķ":118436,"夸大":118437,"æ¬Ħ":118438,"ç¥ŀç»ıç³»ç»Ł":118439,"æijĦå½±ä½ľåĵģ":118440,"èĬ¥":118441,"å®īåºĨ":118442,"海滨":118443,"æŀĦæĢĿ":118444,"çīµæĮĤ":118445,"åı©":118446,"éĺIJæĺİ":118447,"éģģ":118448,"精油":118449,"ç©´ä½į":118450,"æĬ¤èº«":118451,"æĬ¤èº«ç¬¦":118452,"æĮĩå°İ":118453,"åŃĺåľ¨ä¸Ģå®ļ":118454,"å¯ĤéĿĻ":118455,"æµ·å¤ĸå¸Ĥåľº":118456,"éĿ¡":118457,"综åIJĪå¾ģ":118458,"ä¿IJ":118459,"è¨Īç®Ĺ":118460,"æĺİæľĹ":118461,"äºļè¿IJ":118462,"äºļè¿IJä¼ļ":118463,"åīįçŀ»æĢ§":118464,"åĮ®ä¹ı":118465,"产ä¸ļæī¶è´«":118466,"èĦijæµ·":118467,"èĦijæµ·ä¸Ń":118468,"åħļçļĦé¢Ĩ导":118469,"åĪĺéĤ¦":118470,"æµģæĺŁ":118471,"æĵĤ":118472,"æĶĢçĻ»":118473,"åĴĶ":118474,"ä¸Ģä¸ĭåŃIJå°±":118475,"è¯Ĭæ²»":118476,"使åĬ²":118477,"åīµä½ľ":118478,"éĵŃè®°":118479,"éĴ±è´¢":118480,"æĹ¥æĬ¥è®°èĢħ":118481,"çĥŁçģ«":118482,"èĥľè´Ł":118483,"åįļ主":118484,"ä¸ŃåĽ½èģĶéĢļ":118485,"ç½ijç«Ļé¦ĸ页":118486,"å°±å¤Ł":118487,"å°±å¤ŁäºĨ":118488,"æīijåħĭ":118489,"å±ħå§Ķä¼ļ":118490,"è°¬":118491,"å®īåħ¨äºĭæķħ":118492,"åķĨçĶ¨è½¦":118493,"循çݯç»ıæµİ":118494,"æ·¤":118495,"èĢĥè¯ģ":118496,"å®ĿèĹı":118497,"å®Įç»ĵ":118498,"çłĶåıijæĬķåħ¥":118499,"å²ij":118500,"æģŃæķ¬":118501,"离éĢĢä¼ij":118502,"水墨":118503,"婶":118504,"è¯Ĺåı¥":118505,"å®ģæ³¢å¸Ĥ":118506,"å¼±çĤ¹":118507,"åģľçīĮ":118508,"奶油":118509,"å¥ĩ纳河":118510,"æĨĤ":118511,"社ä¼ļå®ŀè·µ":118512,"è´Ŀ壳":118513,"çłĤæµĨ":118514,"èĪ¹åıª":118515,"宣æī¬":118516,"综åIJĪæķ´æ²»":118517,"åĤij":118518,"æ°ijæĹıæĸĩåĮĸ":118519,"éĩįçİ°":118520,"积æ·Ģ":118521,"åħ¬çĦ¶":118522,"çħī":118523,"缸èģļ":118524,"æ±¾":118525,"纹çIJĨ":118526,"çĩĥçħ¤":118527,"æѤç§į":118528,"ç¾İå¦Ĩ":118529,"åįĥçĵ¦":118530,"çIJĽ":118531,"驾驶è¯ģ":118532,"éĺ¶æ¢¯":118533,"ä¸Ŀä¸Ŀ":118534,"å¾Īå¤ļäºĭæĥħ":118535,"åħīéĺ´":118536,"èijĹä½ľæ¬Ĭ":118537,"åħ§éĥ¨":118538,"çĽ¸å¯¹æĿ¥è¯´":118539,"éĸĴ":118540,"éľĩæħij":118541,"說話":118542,"æĨij":118543,"ç«¥è£ħ":118544,"ä½ıæĪ¿åĴĮ":118545,"ä½ıæĪ¿åĴĮåŁİ":118546,"å·²ç»ıè¶ħè¿ĩ":118547,"ä¾¦å¯Ł":118548,"çŁ¿çī©":118549,"ä¾Ľå¤§å®¶":118550,"çī¹éĤĢ":118551,"ç¨ĭåºıåijĺ":118552,"çķľçī§ä¸ļ":118553,"æ°ª":118554,"çijª":118555,"åĢĴåľ¨":118556,"åĢĴåľ¨åľ°":118557,"æ¯Ģ":118558,"梯éĺŁ":118559,"æİ¥èijĹ":118560,"æĬĹèıĮ":118561,"è¤ĩ":118562,"ç¬Ļ":118563,"æ¯Ķä¸Ĭå¹´":118564,"鸡汤":118565,"åŃ¦ä¹łæĪIJ绩":118566,"æĸijæĸĵ":118567,"åħĪ导":118568,"åĪĹ举":118569,"è°ĥæŁ¥æĺ¾ç¤º":118570,"æ©«":118571,"ä¹Ŀåįģ":118572,"è°¢éŁµ":118573,"è·¨è¶Ĭå¼ı":118574,"女æĢ§æľĭåıĭ":118575,"èIJ¥åħ»ä»·åĢ¼":118576,"å®ŀè·µç»ıéªĮ":118577,"èĭıå·ŀå¸Ĥ":118578,"çĵ¶åŃIJ":118579,"æĸ°çļĦä¸Ģ":118580,"æĸ°çļĦä¸Ģå¹´":118581,"æĺİæĻ°":118582,"å®łçĪ±":118583,"åŃĹ第":118584,"æľĹ诵":118585,"纳æĸ¯":118586,"éĢĨè¡Į":118587,"è«ĭæĤ¨":118588,"è«ĭæĤ¨æıIJä¾Ľ":118589,"èĥ¸æĢĢ":118590,"第ä¸ĥå±Ĭ":118591,"强壮":118592,"代åŃķ":118593,"汶å·Ŀ":118594,"家åĸ»":118595,"家åĸ»æĪ·":118596,"家åĸ»æĪ·æĻĵ":118597,"èħ®":118598,"åIJ¯è¿ª":118599,"æĹłéļľç¢į":118600,"èĻķçIJĨåıĬ":118601,"æĿ¥åİĨ":118602,"å®ŀåĬ¡":118603,"ä¹Łéļıä¹ĭ":118604,"æĬĢèĥ½åŁ¹è®Ń":118605,"åѤç«ĭ":118606,"åīģ":118607,"éĥ´å·ŀ":118608,"æĶ¶æķĽ":118609,"éł»éģĵ":118610,"èį£å¹¸":118611,"èİ«è¿ĩäºİ":118612,"æѤæĻĤ":118613,"纪å§ĶçĽij":118614,"纪å§ĶçĽijå§Ķ":118615,"缸éĤ»":118616,"åı¦ä¸Ģè¾¹":118617,"çªĴæģ¯":118618,"æľīå¾Īå¤ļç§į":118619,"æ¯ıéĢ¢":118620,"éĹ®ä¸ĸ":118621,"累累":118622,"éĿĴæĺ¥æľŁ":118623,"è·¯åĨµ":118624,"åħĭèݱ":118625,"è¿Ħä»Ĭ为æŃ¢":118626,"æĥĬå¥ĩ":118627,"跨度":118628,"éħ¿éĢł":118629,"åĩĭ":118630,"è¿ijä¸īå¹´":118631,"åĨħ马":118632,"åĨħ马å°Ķ":118633,"æıį":118634,"è¿Ľå±ķæĥħåĨµ":118635,"èĮ§":118636,"æľīåºıæİ¨è¿Ľ":118637,"æĢ»åĨłåĨĽ":118638,"æĪIJ绩åįķ":118639,"éĽ»è©±åıĬ":118640,"ç´§å¯Ĩç»ĵåIJĪ":118641,"åºĬä½į":118642,"é¹Ĭ":118643,"æķ£åıijçĿĢ":118644,"åĭŁèµĦ":118645,"æ°¨éħ¸":118646,"彩ç¥ŀ":118647,"è®Ģåıĸ":118648,"éĩį温":118649,"ä¸ŃåŃĺåľ¨çļĦ":118650,"ç¾İéºĹ":118651,"ä¸įæĸŃå¢ŀåĬł":118652,"è½®æµģ":118653,"æİ¥åIJ¬":118654,"年产åĢ¼":118655,"åįĥåħĭ":118656,"æĪĺåľºä¸Ĭ":118657,"çħ§é¡§":118658,"å¹²éĥ¨éĺŁä¼į":118659,"åį°ç«ł":118660,"ä¸Ģèĩ´æĢ§":118661,"è¿ŀå¤ľ":118662,"åħħè£ķ":118663,"é»ijåIJįåįķ":118664,"åĩĢæ°´":118665,"ä¸Ģ大æĹ©":118666,"åĮħ袱":118667,"çĬ¯è§Ħ":118668,"çIJĨè«ĸ":118669,"æŀģæĺĵ":118670,"骸":118671,"å¨ĺå¨ĺ":118672,"åĽ¢åľĨ":118673,"亿åħĥ以ä¸Ĭ":118674,"åĪ©çĶ¨æĤ¨çļĦ":118675,"带æĿ¥æĽ´å¤ļ":118676,"ä¸Ń央空è°ĥ":118677,"æľĪèĸª":118678,"çĮľæĥ³":118679,"åĪºå®¢":118680,"ä½ľæģ¯":118681,"åįķè°ĥ":118682,"äºĴåĪ©":118683,"å¦Ĥæľīä¾µæĿĥ":118684,"å°ıå·§":118685,"åįģåł°":118686,"åĵĪåĵĪåĵĪåĵĪ":118687,"è¾¹éĻħ":118688,"æłĩè¯Ń":118689,"åĪĩåħ¥çĤ¹":118690,"éĢĨè¢Ń":118691,"è¯ķåīĤ":118692,"绿è±Ĩ":118693,"è®ļ":118694,"åŁºçĿ£å¾Ĵ":118695,"壬":118696,"åħ¨æĺİæĺŁ":118697,"éĢīç§Ģ":118698,"èĪĮå°ĸ":118699,"ä¸įåIJĮç±»åŀĭ":118700,"çĥŁåĽ±":118701,"çģµæ°Ķ":118702,"åĮºç®¡å§Ķä¼ļ":118703,"åĨľåī¯":118704,"åĨľåī¯äº§åĵģ":118705,"èĶļæĿ¥":118706,"沪æĮĩ":118707,"åħ»æ®ĸæĪ·":118708,"æĸĹå¿Ĺ":118709,"é¦ĸé¢Ĩ":118710,"è¡Ģèħ¥":118711,"åĬłç´§":118712,"ä¸Ģèĩ´å¥½è¯Ħ":118713,"第ä¸īèĬĤ":118714,"æī¬å°ĺ":118715,"交éĢļæŀ¢çº½":118716,"鼶ç¢İ":118717,"é»ijæ´ŀ":118718,"çľĭä¸įæĩĤ":118719,"å±ŀå®ŀ":118720,"主åŁİåĮº":118721,"å¨Ľ":118722,"å¨Ľæ¨Ĥ":118723,"ç¬ijæĦı":118724,"èĻ¹æ¡¥":118725,"åIJĦ个çݯèĬĤ":118726,"çķ¥å¾®":118727,"èĢķèĢĺ":118728,"æľ¬åľºæ¯ĶèµĽ":118729,"æĪIJè´¥":118730,"éĢīèĤ¡":118731,"èªŀè¨Ģ":118732,"çŃĶ辩":118733,"èĩªä¹ł":118734,"棺":118735,"ä¸ĩ欧åħĥ":118736,"åģľå·¥":118737,"对åħ¶è¿Ľè¡Į":118738,"积æŀģéħįåIJĪ":118739,"ä¹¾åĿ¤":118740,"å¦ĸæĢª":118741,"èļĮåŁł":118742,"èµĦ产è¯Ħä¼°":118743,"è°ĥçļ®":118744,"éĻ¤å¤ķ":118745,"åĽ´å¢Ļ":118746,"æľįå½¹":118747,"æ·±æ¸Ĭ":118748,"é¢ĦåĪ¶":118749,"çĥ½":118750,"å®ī稳":118751,"建æŀĦ":118752,"çĭĻåĩ»":118753,"主åĭķ註åĨĬ":118754,"éĥ½æľīèĩªå·±":118755,"æİĴåIJį第ä¸Ģ":118756,"麻辣":118757,"çĢļ":118758,"çĥŁèĬ±çĪĨ":118759,"çĥŁèĬ±çĪĨ竹":118760,"èĩªçĦ¶ä¿ĿæĬ¤":118761,"ä»Ļå¢ĥ":118762,"为äºĨéģ¿åħį":118763,"åĨ·åºĵ":118764,"解æĶ¾æĢĿæĥ³":118765,"åĪĿäºĮ":118766,"ä½ĵè´´":118767,"é¦ĸå¯Į":118768,"迪æĭľ":118769,"æļĤç¼ĵ":118770,"æĶ¯æĮģåĬĽåº¦":118771,"侦æİ¢":118772,"马åĪº":118773,"åĮĹæ±½":118774,"ç¹ŀ":118775,"è°İè¨Ģ":118776,"éĢ£çºĮ":118777,"å·³":118778,"ä»»ä½ķæŶåĢĻ":118779,"车èģĶç½ij":118780,"åįķ项":118781,"å¸Ńåį·":118782,"建çŃijæĿIJæĸĻ":118783,"ä¸Ńç§ĭèĬĤ":118784,"ç¡ķ士çłĶ究":118785,"ç§ģç«ĭ":118786,"åħļåĴĮæĶ¿åºľ":118787,"æľ¬æ¬¡äº¤æĺĵ":118788,"èººåľ¨åºĬä¸Ĭ":118789,"ç½ijåıĭè¯Ħ论":118790,"å¦Ŀ":118791,"害ç¾ŀ":118792,"åħ¬ç«ĭåĮ»éĻ¢":118793,"ä¸ŀ":118794,"çĶŁçī©è´¨":118795,"åºĶéĤĢ":118796,"æĬ½åıĸ":118797,"åĩłå¼ł":118798,"æijĺç¼ĸ":118799,"ç»ĺæľ¬":118800,"详解":118801,"强硬":118802,"æľĢåħĪè¿ĽçļĦ":118803,"æĭĽèĤ¡":118804,"æĭĽèĤ¡ä¹¦":118805,"åįĥæĸ¹":118806,"åįĥæĸ¹çĻ¾":118807,"åįĥæĸ¹çĻ¾è®¡":118808,"éħįéŁ³":118809,"驾çħ§":118810,"å¾ģæĪĺ":118811,"èªĵè¨Ģ":118812,"æĭľå¸Ī":118813,"æĭľå¸ĪåѦ":118814,"æĭľå¸ĪåѦèīº":118815,"æĬ±åĽ¢":118816,"ç±³ç²ī":118817,"éĿŀ常éĢĤåIJĪ":118818,"èĪªæµ·":118819,"履约":118820,"åįģåħ«æĿ¡":118821,"éĶ»éĢł":118822,"éĩįè¦ģ举æݪ":118823,"åıijæĮ¥ä½ľçĶ¨":118824,"æ·ļ":118825,"人社":118826,"人社å±Ģ":118827,"è¯ķçĤ¹å·¥ä½ľ":118828,"éĺľéĺ³":118829,"æ¡ĥåľĴ":118830,"æ°ijä¼ģ":118831,"æ´ģçĻ½":118832,"贵宾":118833,"åħ¬ç¤¾":118834,"è§īæĤŁ":118835,"è®°å¿ĨåĬĽ":118836,"æľĥåĵ¡è¨»åĨĬ":118837,"æѤæ¡Ī":118838,"麻çĹ¹":118839,"çıĢ":118840,"æĸ©èİ·":118841,"çĶ·åŃ©åŃIJ":118842,"å±ĢéĻIJäºİ":118843,"åĭĺæŁ¥":118844,"åIJĥ饱":118845,"èĬ¬åħ°":118846,"æ£ķèī²":118847,"ç¦ıç¥ī":118848,"çĶ³èĬ±":118849,"æµ·çĽĹ":118850,"èĶij":118851,"æĸĩåѸ":118852,"æ´»æĢ§çĤŃ":118853,"缴éĢļ车":118854,"è°¢éĤĢ":118855,"躺çĿĢ":118856,"åľĥ":118857,"æ¯ıæĹ¥ç»ıæµİ":118858,"åħ¬åħ±æĸĩåĮĸ":118859,"讲æķħäºĭ":118860,"å¯Łçľĭ":118861,"æĤłéĹ²":118862,"åľ°åĿª":118863,"æ¶Įçİ°åĩº":118864,"é«ĺçŃīéĻ¢æł¡":118865,"èĮĦåŃIJ":118866,"éĺ²åį«":118867,"ä¾ĭè¡Į":118868,"æĺ¾éľ²":118869,"æĸ°å¸¸æĢģ":118870,"ç»Ŀä½³":118871,"å¯Įæ°ij":118872,"以人æ°ij":118873,"以人æ°ij为":118874,"éĤ¢åı°":118875,"å±ķæ¼Ķ":118876,"çĻ¼å¸ĥ":118877,"è´Łè½½":118878,"åģı离":118879,"æ°¸éģł":118880,"éĩįè¦ģåİŁåĽł":118881,"åįıä¼ļä¼ļåijĺ":118882,"éļ¾æ°ij":118883,"çĶŁäº§è½¦éĹ´":118884,"çģµåĬ¨":118885,"两年åīį":118886,"æĸ¹åľĨ":118887,"æ´»ä¸ĭåİ»":118888,"ä¸ĸçķĮè§Ĥ":118889,"éªĹåıĸ":118890,"ç¾İè²Į":118891,"èĥ½çľĭåĩº":118892,"çĻ¼æı®":118893,"è§Ĥå½±":118894,"åīĥ":118895,"åIJĪèµĦåħ¬åı¸":118896,"婧":118897,"å¹²æű":118898,"åħŃ个æľĪ":118899,"尤为éĩįè¦ģ":118900,"èĤ½":118901,"ç§¦åĽ½":118902,"æīĺç¦ı":118903,"建çŃijå¸Ī":118904,"åįĩ级æĶ¹éĢł":118905,"å°ıé¢Ŀ":118906,"å°ıé¢Ŀ贷款":118907,"两个维æĬ¤":118908,"æĭįæĭį":118909,"åı¯çĸij":118910,"æį¢åıĸ":118911,"æŃ¦å£«":118912,"èµĸ以":118913,"èµĸ以çĶŁåŃĺ":118914,"æĮļ":118915,"殿åłĤ":118916,"èĩªçĦ¶çķĮ":118917,"ç£ģåľº":118918,"å¦Ĥä½ķçľĭå¾ħ":118919,"ä»ĬæĹ¥å¤´æĿ¡":118920,"è¥¿åŁŁ":118921,"èİ·è¯Ħ":118922,"é¢¨æł¼":118923,"ä¿ĦåĽ½":118924,"æīĵæĭ¼":118925,"å®£ä¼łçīĩ":118926,"å¾Īæĸ¹ä¾¿":118927,"ä¾Ľç»Ļ侧":118928,"纪念ç¢ij":118929,"毫åħĭ":118930,"èĬ³é¦Ļ":118931,"å·¥åķĨéĵ¶è¡Į":118932,"请çĤ¹åĩ»":118933,"缪":118934,"æĹłæķ°æ¬¡":118935,"èį¯å¸Ī":118936,"èħ¸":118937,"游èīĩ":118938,"åĮ¾":118939,"å·¡èĪª":118940,"æ²»çIJĨä½ĵç³»":118941,"èIJ¥éĢłèī¯å¥½":118942,"æ··æ·Ĩ":118943,"éĢļçķħ":118944,"åĬ³ç´¯":118945,"ä»ĵä½į":118946,"å¢ŀéķ·":118947,"éļIJ约":118948,"æĿĤå¿Ĺ社":118949,"åħ»èĤ²":118950,"åı¯èĥ½åıijçĶŁ":118951,"èĢĥ試":118952,"西侧":118953,"åĬłåĢį":118954,"主æĮģåı¬å¼Ģ":118955,"çķ¢ç«Ł":118956,"éĹ®è¯¢":118957,"æµ·æ£ł":118958,"èĹ©":118959,"注æĺİæĿ¥æºIJ":118960,"æ£Ģçĸ«":118961,"请åģĩ":118962,"æĬļæij¸":118963,"èĵĦçĶµæ±ł":118964,"è·Łä¸įä¸Ĭ":118965,"çݰ代社ä¼ļ":118966,"çŃ¹èµĦ":118967,"ä½ĵèĤ²å½©ç¥¨":118968,"延误":118969,"è¾Ľè¾£":118970,"éĿ¢å®¹":118971,"åį°è®°":118972,"çģŃ亡":118973,"ç´łé£Ł":118974,"åħ´èĩ´":118975,"éľĢè¦ģçĶ¨":118976,"éľĢè¦ģçĶ¨åĪ°":118977,"å®Ŀå¦Ī":118978,"ç£ĭåķĨ":118979,"éļ¶å±ŀ":118980,"è´¡çĮ®åĬĽéĩı":118981,"åħ¬åħ±èµĦæºIJ":118982,"大éĺª":118983,"åĨĽè®Ń":118984,"æĤ¬å¿µ":118985,"社ä¼ļ稳å®ļ":118986,"å¹²äºĭåĪĽä¸ļ":118987,"æľīæĿ¡ä»¶":118988,"æľīæĿ¡ä»¶çļĦ":118989,"ä¸Ģå¹´ä¸Ģ度":118990,"åİ¥":118991,"强奸":118992,"豪车":118993,"æİĮæŁľ":118994,"æ°´åĪ©å·¥ç¨ĭ":118995,"峪":118996,"积æŀģä½ľçĶ¨":118997,"æµ·æ·Ģ":118998,"æµ·æ·ĢåĮº":118999,"çĥŃæĴŃ":119000,"åĿļæĮģä¸įæĩĪ":119001,"åıĮèĦļ":119002,"绣æĪĺ":119003,"ä»»ä½ķ人éĥ½":119004,"åľ°ä¸ĭ室":119005,"åĨ¶çĤ¼":119006,"è°ħ解":119007,"æ¸ĶèĪ¹":119008,"太éĺ³åŁİ":119009,"被æįķ":119010,"计ç®ĹåĻ¨":119011,"西åĮ»":119012,"èĪĴå¿ĥ":119013,"桦":119014,"éģ²":119015,"åĬij":119016,"è¨Ĺ":119017,"èݺ":119018,"åĸ¬":119019,"çĵ¯":119020,"åĺĺ":119021,"åłķ":119022,"æķĿ":119023,"åij¦":119024,"èĭŀ":119025,"æŃ¹":119026,"æĵ¬":119027,"æ£Ħ":119028,"èĪµ":119029,"奪":119030,"çļĭ":119031,"æĶ¸":119032,"åľ©":119033,"ç¤Ļ":119034,"ç¢ĺ":119035,"éıĪ":119036,"æĦķ":119037,"ç¹³":119038,"èĺ¸":119039,"è²Ĥ":119040,"æ¼²":119041,"æij¹":119042,"æĶĿ":119043,"åŃ¢":119044,"èķŃ":119045,"騰":119046,"æ½¼":119047,"éħ°":119048,"æĴ¥":119049,"蹬":119050,"é¨Ļ":119051,"踹":119052,"éģIJ":119053,"çĺĢ":119054,"èĽ¤":119055,"æĤĸ":119056,"çĴŀ":119057,"ç£IJ":119058,"æİ°":119059,"è¾Ĭ":119060,"å¾ij":119061,"æİĸ":119062,"éģŀ":119063,"éĤ¸":119064,"éĽı":119065,"æĨİ":119066,"æľ½":119067,"çį»":119068,"ç®Ķ":119069,"褶":119070,"æļ¢":119071,"æĺµ":119072,"çıĤ":119073,"æĤ¸":119074,"åģµ":119075,"åĻľ":119076,"壯":119077,"æĴ®":119078,"æģį":119079,"å©ķ":119080,"篱":119081,"éĺĻ":119082,"çīł":119083,"è£ĺ":119084,"è³¢":119085,"éĩľ":119086,"éĵł":119087,"èİĺ":119088,"æ®Ĩ":119089,"çĻ¸":119090,"è´ı":119091,"ç²±":119092,"å«¡":119093,"åĨ¢":119094,"è¤Ĵ":119095,"æĩĬ":119096,"éľĵ":119097,"塵":119098,"æĭ£":119099,"å»Ł":119100,"飽":119101,"é¢Į":119102,"åļİ":119103,"æ·º":119104,"èĨł":119105,"åİŃ":119106,"åļĩ":119107,"åijĥ":119108,"çĴĭ":119109,"çѱ":119110,"æĭ·":119111,"èį§":119112,"éĶ°":119113,"åŃ°":119114,"èĵĵ":119115,"èĨ½":119116,"æŀī":119117,"åĸ½":119118,"çĽĶ":119119,"çŃIJ":119120,"ç¾ļ":119121,"èħĮ":119122,"辫":119123,"æ³ĵ":119124,"çĶ¬":119125,"èŁ²":119126,"åĸª":119127,"å¦ĵ":119128,"è¬Ģ":119129,"çĤĬ":119130,"æĽľ":119131,"æ±IJ":119132,"è´Ī":119133,"èįĢ":119134,"æĬł":119135,"碾":119136,"æ«ĥ":119137,"éŀł":119138,"èijĨ":119139,"祯":119140,"å½Ŀ":119141,"é¦į":119142,"åĮ£":119143,"æľŃ":119144,"åĿĤ":119145,"ä¿ij":119146,"èĵ®":119147,"çijĽ":119148,"æīī":119149,"èĩŁ":119150,"貫":119151,"çİ¥":119152,"æ·¼":119153,"åݲ":119154,"é³Į":119155,"å³Ń":119156,"åijĽ":119157,"é§":119158,"é§IJ":119159,"éģ·":119160,"俪":119161,"æĢĤ":119162,"è¾į":119163,"å±į":119164,"åĭģ":119165,"å¥ļ":119166,"éļħ":119167,"éĴ´":119168,"è¼Ŀ":119169,"宦":119170,"èIJĥ":119171,"çĺĭ":119172,"æĨ¶":119173,"æĤħ":119174,"è¾Ļ":119175,"åijľ":119176,"çłº":119177,"éĢŀ":119178,"æµļ":119179,"éĸ£":119180,"èĸ©":119181,"éĻĭ":119182,"çĤĻ":119183,"èªķ":119184,"丣":119185,"é¹½":119186,"ç±Į":119187,"è´°":119188,"éĭª":119189,"çľ©":119190,"æĴIJ":119191,"èĨº":119192,"éŀĺ":119193,"ç¾²":119194,"窮":119195,"ç´IJ":119196,"æ®´":119197,"纾":119198,"èºį":119199,"ç´ĭ":119200,"çĦĸ":119201,"çĶº":119202,"çī½":119203,"çĤ¯":119204,"ç¼Ķ":119205,"æ¯ĵ":119206,"嬰":119207,"梧":119208,"äºŁ":119209,"è¢ħ":119210,"çįĦ":119211,"è¿¥":119212,"æ¼¾":119213,"çĿij":119214,"績":119215,"é¦ĭ":119216,"é¤ħ":119217,"æ¹Ħ":119218,"æĺĩ":119219,"æŀŃ":119220,"èĸ°":119221,"æŁij":119222,"榻":119223,"åĻĹ":119224,"åĻ´":119225,"棣":119226,"åĶ§":119227,"çĨ¹":119228,"輯":119229,"å¢Ł":119230,"é²²":119231,"æĪĽ":119232,"èī¦":119233,"èĬ®":119234,"åĺŁ":119235,"帥":119236,"å¿»":119237,"çĮĿ":119238,"寵":119239,"賦":119240,"èĽ¾":119241,"滾":119242,"çĤķ":119243,"éĵ¬":119244,"èĴ¿":119245,"éĴ¨":119246,"çĥĻ":119247,"ç²ķ":119248,"æĥ¦":119249,"溧":119250,"é¢į":119251,"éħ£":119252,"峦":119253,"ç±ģ":119254,"çĥĥ":119255,"åĨĹ":119256,"åıģ":119257,"缧":119258,"ç½µ":119259,"éĴĹ":119260,"å¬ī":119261,"è°ı":119262,"糧":119263,"è¾Ń":119264,"æ·¬":119265,"èŁĴ":119266,"诩":119267,"è¦ĥ":119268,"çĻĸ":119269,"é½Ĵ":119270,"çĪIJ":119271,"ç®į":119272,"ç¼İ":119273,"磺":119274,"诫":119275,"褲":119276,"æĵł":119277,"èIJ¦":119278,"çĿ¬":119279,"è°į":119280,"éĦ°":119281,"æł¾":119282,"é¡ı":119283,"縱":119284,"桨":119285,"éĨ¬":119286,"襲":119287,"讪":119288,"婺":119289,"èįŁ":119290,"åĮĿ":119291,"çĨł":119292,"èĽĬ":119293,"æ¸ļ":119294,"å´½":119295,"鲤":119296,"åķ°":119297,"åĮķ":119298,"ä¸IJ":119299,"讥":119300,"åı½":119301,"åı¼":119302,"çļ¿":119303,"è¿Ĥ":119304,"åIJĨ":119305,"å±¹":119306,"èĩ¼":119307,"讹":119308,"é©®":119309,"纫":119310,"æ±ŀ":119311,"æĬ¡":119312,"èĭĩ":119313,"åIJł":119314,"åIJŃ":119315,"åIJ®":119316,"å²ĸ":119317,"ä½ĥ":119318,"çĭĪ":119319,"åºĩ":119320,"åIJĿ":119321,"éĹ°":119322,"æ±¹":119323,"忱":119324,"æĭĦ":119325,"æĭĹ":119326,"èĮī":119327,"èĭĽ":119328,"èĮģ":119329,"çŁ¾":119330,"èĻı":119331,"åij»":119332,"åĴĦ":119333,"å¿¿":119334,"èĤ®":119335,"çĭŀ":119336,"çĸŁ":119337,"çĸĻ":119338,"çĸļ":119339,"æ³ŀ":119340,"å¸ļ":119341,"å±ī":119342,"è¿¢":119343,"驹":119344,"çİ·":119345,"çıĬó":119346,"çıĬół":119347,"çıĬółĦ":119348,"çıĬółĦģ":119349,"æĮİ":119350,"æĭ´":119351,"åŀĽ":119352,"èį¤":119353,"æ®ĥ":119354,"çĽ¹":119355,"åĵĨ":119356,"è´»":119357,"毡":119358,"çĭ°":119359,"çĭ¡":119360,"æŁĴ":119361,"æģĥ":119362,"诬":119363,"è¢Ħ":119364,"诲":119365,"èļ¤":119366,"èĢĻ":119367,"åŁĤ":119368,"æįİ":119369,"æįĮ":119370,"æ¢Ĩ":119371,"éħĮ":119372,"çł¾":119373,"æ®ī":119374,"åĶł":119375,"æĻĮ":119376,"èļ£":119377,"èļª":119378,"èļĵ":119379,"鸯":119380,"åĶģ":119381,"åĶĨ":119382,"åĢĶ":119383,"èĪĢ":119384,"豺":119385,"èĥ°":119386,"鸵":119387,"鸳":119388,"é¦ģ":119389,"ç¾Ķ":119390,"涣":119391,"æ¶ķ":119392,"æĤ¯":119393,"诽":119394,"è°Ĩ":119395,"ç¥Ł":119396,"绢":119397,"æįº":119398,"æį¶":119399,"æį»":119400,"æİĤ":119401,"èıł":119402,"èIJ¤":119403,"éħĹ":119404,"羶":119405,"åķĦ":119406,"èļ¯":119407,"èĽĢ":119408,"åĶ¬":119409,"帷":119410,"éĵIJ":119411,"éĵĽ":119412,"åģİ":119413,"å¾Ļ":119414,"èĦ¯":119415,"è±ļ":119416,"çĮĸ":119417,"çĹĬ":119418,"涮":119419,"æĥŃ":119420,"æĤ´":119421,"æĥĭ":119422,"è°ļ":119423,"æı©":119424,"æIJĢ":119425,"æIJĶ":119426,"æ¦Ķ":119427,"æ¤Ń":119428,"éĽ³":119429,"åĸ³":119430,"è·Ľ":119431,"èľĵ":119432,"èľĴ":119433,"é¹ĥ":119434,"éĶĦ":119435,"çĶ¥":119436,"çŃı":119437,"çĮ©":119438,"çĮ¬":119439,"çĮ¾":119440,"çĹ¢":119441,"çĹª":119442,"æĥ°":119443,"çªĺ":119444,"è°¤":119445,"éļĺ":119446,"å©¿":119447,"é¹ī":119448,"çijĻ":119449,"æĸŁ":119450,"椿":119451,"éħª":119452,"éĽ¹":119453,"åŦ":119454,"è··":119455,"è·º":119456,"è·¤":119457,"èľĪ":119458,"èľĹ":119459,"å¹Į":119460,"é¦ı":119461,"èªĬ":119462,"æ¼ĵ":119463,"è¤Ĥ":119464,"èĶĹ":119465,"èĶ¼":119466,"åħ¢":119467,"裳":119468,"èľ»":119469,"èĿĩ":119470,"åĺĢ":119471,"éĶ¹":119472,"ç®ķ":119473,"箩":119474,"çĺ©":119475,"çĺŁ":119476,"æ¼±":119477,"寥":119478,"骡":119479,"æĴµ":119480,"æĴ¬":119481,"è±Į":119482,"åĺ¹":119483,"èĿł":119484,"èĿĮ":119485,"èĿĹ":119486,"èĿĻ":119487,"éķIJ":119488,"稼":119489,"ç¯ĵ":119490,"èĨĽ":119491,"鲫":119492,"çĺª":119493,"鲨":119494,"æĨĶ":119495,"ç¿©":119496,"褥":119497,"ç¼Ń":119498,"åĻ©":119499,"çĵ¢":119500,"éľİ":119501,"踱":119502,"è¹Ĥ":119503,"èŁĨ":119504,"鹦":119505,"篡":119506,"çĺ¸":119507,"窿":119508,"ç¼°":119509,"èĹIJ":119510,"è¹ĭ":119511,"èŁĭ":119512,"èŁĢ":119513,"赡":119514,"èĩĬ":119515,"é³Ħ":119516,"ç³ł":119517,"æĩ¦":119518,"åļ£":119519,"éķ°":119520,"é³į":119521,"ç°¸":119522,"çĻ£":119523,"é³ĸ":119524,"é¬ĵ":119525,"èłķ":119526,"éľ¹":119527,"èºı":119528,"黯":119529,"çĵ¤":119530,"çŁĹ":119531,"ä¹Ĥ":119532,"ä¹ľ":119533,"åħĢ":119534,"å¼ĭ":119535,"åŃij":119536,"åŃĵ":119537,"幺":119538,"äºĵ":119539,"廿":119540,"ä¸ı":119541,"åįħ":119542,"ä»ĥ":119543,"ä»ī":119544,"ä»Ĥ":119545,"åĪĪ":119546,"çĪ»":119547,"åįŀ":119548,"éĹ©":119549,"讣":119550,"夬":119551,"çĪ¿":119552,"æ¯ĭ":119553,"éĤĹ":119554,"éĤĽ":119555,"èī½":119556,"èī¿":119557,"åıµ":119558,"ä¸ķ":119559,"åĮľ":119560,"åĬ¢":119561,"åįŁ":119562,"åı±":119563,"åı»":119564,"仨":119565,"代":119566,"仡":119567,"仫":119568,"ä»ŀ":119569,"åį®":119570,"æ°IJ":119571,"çĬ°":119572,"åĪį":119573,"éĤĿ":119574,"éĤĻ":119575,"讦":119576,"讧":119577,"讫":119578,"å°»":119579,"éĺ¡":119580,"å°ķ":119581,"å¼ģ":119582,"èĢĴ":119583,"çİİ":119584,"çİij":119585,"åľ¬":119586,"æī¦":119587,"åľª":119588,"åľ¹":119589,"æīª":119590,"åľ®":119591,"åľ¯":119592,"èĬĬ":119593,"èĬį":119594,"èĬĦ":119595,"èĬ¨":119596,"èĬij":119597,"èĬİ":119598,"èĬĹ":119599,"äºĺ":119600,"åİį":119601,"夼":119602,"æĪį":119603,"å°¥":119604,"乩":119605,"æĹ¯":119606,"æĽ³":119607,"å²Į":119608,"屺":119609,"åĩ¼":119610,"åĽ¡":119611,"éĴĩ":119612,"缶":119613,"æ°ĺ":119614,"æ°ĸ":119615,"çīĿ":119616,"ä¼İ":119617,"ä¼Ľ":119618,"ä¼¢":119619,"佤":119620,"仵":119621,"ä¼¥":119622,"伧":119623,"ä¼ī":119624,"伫":119625,"åĽŁ":119626,"æ±Ĩ":119627,"åĪĸ":119628,"å¤Ļ":119629,"æĹ®":119630,"åĪİ":119631,"çĬ·":119632,"çĬ¸":119633,"èĪĽ":119634,"åĩ«":119635,"éĤ¬":119636,"饧":119637,"æ±Ķ":119638,"æ±ľ":119639,"æ±Ĭ":119640,"å¿ĸ":119641,"å¿ı":119642,"è®´":119643,"讵":119644,"è®·":119645,"èģ¿":119646,"èī®":119647,"åݾ":119648,"å¦ģ":119649,"纡":119650,"纣":119651,"纥":119652,"纨":119653,"çİķ":119654,"çİĻ":119655,"æĬŁ":119656,"æĬĶ":119657,"åľ»":119658,"åĿį":119659,"æĬĥ":119660,"ã§IJ":119661,"èĬ«":119662,"èĬ¾":119663,"èĭĪ":119664,"èĭ£":119665,"èĭĭ":119666,"èĬ¼":119667,"èĭĮ":119668,"èĭģ":119669,"èĬ©":119670,"èĬª":119671,"èĬ¡":119672,"èĬŁ":119673,"èĭĦ":119674,"èĭİ":119675,"èĭ¡":119676,"æĿĮ":119677,"æĿĵ":119678,"æĿĪ":119679,"å¿ij":119680,"åŃĽ":119681,"éĤ´":119682,"éĤ³":119683,"å¥ģ":119684,"è±ķ":119685,"å¿Ĵ":119686,"欤":119687,"轫":119688,"è¿ĵ":119689,"éĤ¶":119690,"å¿IJ":119691,"åį£":119692,"éĤº":119693,"æĹ°":119694,"åijĭ":119695,"åijĴ":119696,"åijĵ":119697,"åijĶ":119698,"åijĸ":119699,"æŸ":119700,"åIJ¡":119701,"èĻ¬":119702,"åIJ½":119703,"åIJ£":119704,"åIJ²":119705,"å¸ı":119706,"å²Ī":119707,"å²ĺ":119708,"åħķ":119709,"åĽµ":119710,"åĽ«":119711,"éĴĬ":119712,"éĴĭ":119713,"éĴĮ":119714,"è¿ķ":119715,"æ°Ļ":119716,"æ°ļ":119717,"çī¤":119718,"ä½ŀ":119719,"ä½ļ":119720,"ä½Ŀ":119721,"ä½Ĺ":119722,"å½·":119723,"ä½ĺ":119724,"ä½¥":119725,"豸":119726,"åĿĮ":119727,"èĤŁ":119728,"å¥Ĥ":119729,"åĬ¬":119730,"çĭģ":119731,"鸳":119732,"饨":119733,"饩":119734,"饫":119735,"饬":119736,"åºij":119737,"åºĭ":119738,"çĸĶ":119739,"çĸĸ":119740,"èĤĵ":119741,"éű":119742,"éĹ³":119743,"çĤĢ":119744,"æ²£":119745,"æ²ħ":119746,"æ²Ķ":119747,"沤":119748,"æ²ı":119749,"æ²ļ":119750,"汩":119751,"汨":119752,"沨":119753,"æ±´":119754,"æ²Ĩ":119755,"沩":119756,"æ³IJ":119757,"æĢĥ":119758,"æĢĦ":119759,"å¿¡":119760,"忤":119761,"忾":119762,"æĢħ":119763,"忪":119764,"æĢĨ":119765,"å¿Ń":119766,"忸":119767,"è¯Ĥ":119768,"è¯ĥ":119769,"è¯ħ":119770,"è¯ĭ":119771,"è¯Į":119772,"è¯Ĵ":119773,"éĻĤ":119774,"éĻī":119775,"妩":119776,"妪":119777,"妣":119778,"å¦Ĺ":119779,"妫":119780,"å§Ĵ":119781,"妤":119782,"åĬŃ":119783,"åĪŃ":119784,"éĤ°":119785,"çºŃ":119786,"纰":119787,"纴":119788,"çİ¡":119789,"çİŃ":119790,"çİł":119791,"çİ¢":119792,"çݦ":119793,"çĽĤ":119794,"å¿Ŀ":119795,"åĮ¦":119796,"åĿ©":119797,"æĬ¨":119798,"æĭ¤":119799,"åĿ«":119800,"æĭĪ":119801,"åŀĨ":119802,"æĬ»":119803,"åĬ¼":119804,"æĭĥ":119805,"æĭĬ":119806,"åĿ¼":119807,"åĿ»":119808,"ã§Ł":119809,"åĿ¨":119810,"åĿŃ":119811,"æĬ¿":119812,"åĿ³":119813,"èĭ·":119814,"èĭ¤":119815,"èĮı":119816,"èĭ«":119817,"èĭľ":119818,"èĭ´":119819,"èĭĴ":119820,"èĭĺ":119821,"èĮĮ":119822,"èĭ»":119823,"èĭĵ":119824,"èĮļ":119825,"èĮĨ":119826,"èĮij":119827,"èĮĵ":119828,"èĮĶ":119829,"èĮķ":119830,"èĮĢ":119831,"èĭķ":119832,"æŀ¥":119833,"æŀĩ":119834,"æĿª":119835,"æĿ³":119836,"æŀ§":119837,"æĿµ":119838,"æŀ¨":119839,"æŀŀ":119840,"æŀĭ":119841,"æĿ»":119842,"æĿ·":119843,"æĿ¼":119844,"磸":119845,"çłĢ":119846,"åĪ³":119847,"å¥Ħ":119848,"æ®ģ":119849,"éĥı":119850,"è½Ń":119851,"éĥħ":119852,"鸢":119853,"缱":119854,"æĺĻ":119855,"æĿ²":119856,"æĺĥ":119857,"åĴĤ":119858,"åij¸":119859,"æĺĢ":119860,"æĹ»":119861,"æĺī":119862,"çĤħ":119863,"çķĢ":119864,"èĻ®":119865,"åĴĢ":119866,"åij·":119867,"黾":119868,"åij±":119869,"åij¤":119870,"åĴĨ":119871,"åĴĽ":119872,"åij¶":119873,"åij£":119874,"åĴĿ":119875,"å²¢":119876,"岿":119877,"岬":119878,"岫":119879,"å¸Ļ":119880,"å²£":119881,"å³ģ":119882,"åĪ¿":119883,"å²·":119884,"åīĢ":119885,"å¸Ķ":119886,"å³Ħ":119887,"æ²ĵ":119888,"åĽ¹":119889,"ç½Ķ":119890,"éĴį":119891,"éĴİ":119892,"éĴı":119893,"éĴĴ":119894,"éĴķ":119895,"éĤ¾":119896,"è¿®":119897,"çī¦":119898,"竺":119899,"迤":119900,"佶":119901,"ä¾ij":119902,"ä¾ī":119903,"èĩ¾":119904,"ä¾Ĺ":119905,"ä¾ı":119906,"侩":119907,"ä½»":119908,"ä½¾":119909,"侪":119910,"ä½¼":119911,"佯":119912,"侬":119913,"å¸Ľ":119914,"ä¾Ķ":119915,"å¾Ĥ":119916,"åĪ½":119917,"éĥĦ":119918,"ç±´":119919,"çĵ®":119920,"æĪĹ":119921,"èĤ¼":119922,"äıĿ":119923,"èĤ±":119924,"èĤ«":119925,"è¿©":119926,"éĥĩ":119927,"çĭİ":119928,"çĭį":119929,"çĭĴ":119930,"åĴİ":119931,"饯":119932,"饴":119933,"åĨ½":119934,"åĨ¼":119935,"åºĸ":119936,"çĸł":119937,"çĸĿ":119938,"åħĸ":119939,"åĬ¾":119940,"ð¬ī":119941,"ð¬ī¼":119942,"çĤĺ":119943,"çĤĿ":119944,"çĤĶ":119945,"æ³Ķ":119946,"æ²Ń":119947,"æ³·":119948,"æ³±":119949,"æ³ħ":119950,"æ³ł":119951,"泺":119952,"æ³ĸ":119953,"泫":119954,"æ³®":119955,"æ²±":119956,"泯":119957,"æĢĻ":119958,"æĢµ":119959,"æĢ¦":119960,"æĢĽ":119961,"æĢı":119962,"æĢį":119963,"ã¤":119964,"ã¤ĺ":119965,"æĢ©":119966,"æĢ«":119967,"æĢ¿":119968,"å®ķ":119969,"穹":119970,"å®ĵ":119971,"è¯ĵ":119972,"è¯Ķ":119973,"è¯ĸ":119974,"è¯ĺ":119975,"æĪ¾":119976,"è¯Ļ":119977,"æĪ½":119978,"éĥĵ":119979,"è¡©":119980,"ç¥Ĩ":119981,"ç¥İ":119982,"ç¥ĩ":119983,"è¯ľ":119984,"è¯Ł":119985,"诣":119986,"诤":119987,"诧":119988,"诨":119989,"æĪķ":119990,"éĻĶ":119991,"妲":119992,"妯":119993,"å§Ĺ":119994,"å¸ij":119995,"åŃ¥":119996,"驽":119997,"èĻ±":119998,"迨":119999,"ç»Ģ":120000,"ç»ģ":120001,"ç»Ĥ":120002,"é©·":120003,"驸":120004,"ç»ī":120005,"ç»Į":120006,"éªĢ":120007,"çĶ¾":120008,"çıı":120009,"çıIJ":120010,"çıij":120011,"çݳ":120012,"顸":120013,"çıī":120014,"çıĪ":120015,"æĭ®":120016,"åŀŃ":120017,"æĮĿ":120018,"æĮŀ":120019,"åŀ¤":120020,"èµ³":120021,"è´²":120022,"åŀ±":120023,"åŀĮ":120024,"åŀ§":120025,"åŀĵ":120026,"æĮ¦":120027,"åŀł":120028,"èįļ":120029,"èįij":120030,"è´³":120031,"èįľ":120032,"èİĴ":120033,"èĮ¼":120034,"èĮ´":120035,"èĮ±":120036,"èİĽ":120037,"èįŀ":120038,"èĮ¯":120039,"èįı":120040,"èįĩ":120041,"èįĥ":120042,"èįł":120043,"èĮŃ":120044,"åŀ©":120045,"èį¥":120046,"èį¦":120047,"èį¨":120048,"èį©":120049,"åīĭ":120050,"èįª":120051,"èį¬":120052,"èį®":120053,"æŁ°":120054,"æłī":120055,"æŁĺ":120056,"æłĬ":120057,"æŁ©":120058,"æŀ°":120059,"æłĮ":120060,"æŁĻ":120061,"æŀµ":120062,"æŀ³":120063,"æŁŀ":120064,"æŁĿ":120065,"æłĢ":120066,"æŁ¢":120067,"æłİ":120068,"æŁĪ":120069,"æŁģ":120070,"æŀ·":120071,"æŁ½":120072,"åīĮ":120073,"éħĬ":120074,"éĥ¦":120075,"çĶŃ":120076,"çłĹ":120077,"çłĺ":120078,"çłĴ":120079,"æĸ«":120080,"çłŃ":120081,"çłľ":120082,"èĢ·":120083,"èĻº":120084,"æ®Ĥ":120085,"æ®ĩ":120086,"æ®Ħ":120087,"è½±":120088,"è½²":120089,"è½³":120090,"轶":120091,"轸":120092,"èĻ¿":120093,"æ¯ĸ":120094,"è§ĩ":120095,"å°ľ":120096,"åĵIJ":120097,"çľĦ":120098,"çľį":120099,"ðł³":120100,"ðł³IJ":120101,"éĥ¢":120102,"çľĩ":120103,"çľĬ":120104,"çľĪ":120105,"禺":120106,"åĵĤ":120107,"åĴ´":120108,"æĽ·":120109,"æĺ´":120110,"åĴ¦":120111,"åĵĵ":120112,"åĵĶ":120113,"çķİ":120114,"åij²":120115,"èĥĦ":120116,"çķĭ":120117,"çķĪ":120118,"èĻ¼":120119,"èĻ»":120120,"çĽħ":120121,"åĴ£":120122,"åĵķ":120123,"åīIJ":120124,"éĥ§":120125,"åĴ»":120126,"åĽ¿":120127,"åĴ¿":120128,"åĵĮ":120129,"åĵĻ":120130,"åĵļ":120131,"åĴ©":120132,"åĴ¤":120133,"åĵĿ":120134,"åĵı":120135,"åĵŀ":120136,"å³£":120137,"ç½ĺ":120138,"å³Ĵ":120139,"峤":120140,"å³ĭ":120141,"è´¶":120142,"éĴļ":120143,"éĴ¡":120144,"éĴ£":120145,"éĴ¤":120146,"éĴ«":120147,"æ°¡":120148,"çī¯":120149,"éĥľ":120150,"ç§ķ":120151,"ç§Ń":120152,"竽":120153,"ç¬Ī":120154,"俦":120155,"俨":120156,"ä¿ħ":120157,"åıŁ":120158,"åŀ¡":120159,"çī®":120160,"ä¿£":120161,"ä¿ļ":120162,"çļĪ":120163,"ä¿Ł":120164,"éĢħ":120165,"å¾ĩ":120166,"å¾ī":120167,"èĪ¢":120168,"éĥĹ":120169,"ä¿İ":120170,"éĥ¤":120171,"çĪ°":120172,"éĥĽ":120173,"çĵ´":120174,"èĥ¨":120175,"èĥª":120176,"èĥĽ":120177,"èĥĤ":120178,"èĥĻ":120179,"èĥį":120180,"èĥĹ":120181,"èĥĿ":120182,"æľIJ":120183,"èĥ«":120184,"鸨":120185,"åĮį":120186,"çĭ¨":120187,"çĭ¯":120188,"é£ij":120189,"çĭ©":120190,"çĭ²":120191,"è¨ĩ":120192,"éĢĦ":120193,"æĺĿ":120194,"饷":120195,"饸":120196,"饹":120197,"åŃª":120198,"å¨Ī":120199,"庥":120200,"çĸ¬":120201,"çĸ£":120202,"çĸ¥":120203,"çĸŃ":120204,"åºł":120205,"ç«ij":120206,"é£Ĵ":120207,"éĹ¼":120208,"éĹ¾":120209,"éĹ¿":120210,"éĺĤ":120211,"ç¾ij":120212,"迸":120213,"ç±¼":120214,"éħĭ":120215,"çĤ»":120216,"çĥĢ":120217,"çĤ·":120218,"æ´±":120219,"æ´¹":120220,"æ´§":120221,"æ´Į":120222,"æµĥ":120223,"æ´ĩ":120224,"æ´Ħ":120225,"æ´Ļ":120226,"æ¶İ":120227,"æ´İ":120228,"æ´«":120229,"æµį":120230,"æ´®":120231,"æ´µ":120232,"æµĴ":120233,"æµĶ":120234,"æµķ":120235,"æ´³":120236,"æģ¸":120237,"æģĵ":120238,"æģ¹":120239,"æģ«":120240,"æģ»":120241,"æģĤ":120242,"æģª":120243,"æģ½":120244,"宥":120245,"æīĥ":120246,"衲":120247,"衽":120248,"è¡¿":120249,"è¢Ĥ":120250,"ç¥ľ":120251,"ç¥ĵ":120252,"ç¥ļ":120253,"诮":120254,"ç¥Ĺ":120255,"祢":120256,"诰":120257,"诳":120258,"鸩":120259,"æĺ¶":120260,"åĴ«":120261,"å¼Ń":120262,"çīģ":120263,"èĥ¥":120264,"éĻŁ":120265,"姮":120266,"å¨Ĩ":120267,"å§Ŀ":120268,"姣":120269,"å§ĺ":120270,"姹":120271,"羿":120272,"çĤ±":120273,"磾":120274,"ç»Ķ":120275,"éªģ":120276,"éªħ":120277,"ç»Ĺ":120278,"综":120279,"éªĪ":120280,"èĢĸ":120281,"æĮĪ":120282,"çı¥":120283,"çıĻ":120284,"顼":120285,"çı°":120286,"çı©":120287,"çı§":120288,"çı£":120289,"çıŀ":120290,"çIJ¤":120291,"çı²":120292,"æģļ":120293,"åŁķ":120294,"åŁĺ":120295,"åŁĻ":120296,"åŁļ":120297,"æĮ¹":120298,"èĢĨ":120299,"èĢĦ":120300,"åŁĴ":120301,"æįĭ":120302,"è´½":120303,"åŀ¸":120304,"æįĥ":120305,"çĽį":120306,"èį¸":120307,"èݳ":120308,"èİ´":120309,"èݪ":120310,"èİł":120311,"èİľ":120312,"èİħ":120313,"èį¼":120314,"èİ©":120315,"èį½":120316,"èݸ":120317,"èį»":120318,"èݨ":120319,"鸪":120320,"èݼ":120321,"æł²":120322,"æł³":120323,"æ¡¡":120324,"æ¡İ":120325,"æ¡¢":120326,"桤":120327,"æ¢ĥ":120328,"æłĿ":120329,"æ¡ķ":120330,"æ¡ģ":120331,"桧":120332,"æ¡ħ":120333,"æłŁ":120334,"æ¡ī":120335,"æł©":120336,"éĢij":120337,"éĢĭ":120338,"彧":120339,"鬲":120340,"è±ĩ":120341,"éħIJ":120342,"éĢ¦":120343,"åİĿ":120344,"åѬ":120345,"çłĿ":120346,"çł¹":120347,"糧":120348,"çł·":120349,"糣":120350,"çł¼":120351,"çł¥":120352,"çł£":120353,"åīŀ":120354,"çł»":120355,"è½¼":120356,"è½¾":120357,"è¾Ĥ":120358,"鸫":120359,"趸":120360,"é¾Ģ":120361,"鸬":120362,"èĻĶ":120363,"羬":120364,"åĶĽ":120365,"çľĻ":120366,"åĵ§":120367,"åĵ½":120368,"æĻģ":120369,"鸮":120370,"趵":120371,"趿":120372,"çķĽ":120373,"èļ¨":120374,"èļľ":120375,"èļį":120376,"èļĭ":120377,"èļ¬":120378,"èļĿ":120379,"èļ§":120380,"åĶ¢":120381,"åľĦ":120382,"åĶ£":120383,"åĶı":120384,"çĽİ":120385,"åĶij":120386,"å´Ĥ":120387,"å´ĥ":120388,"罡":120389,"ç½Ł":120390,"è§Ĭ":120391,"èµħ":120392,"éĴ²":120393,"éĴµ":120394,"éĴ¹":120395,"éĴº":120396,"éĴ½":120397,"éĴ¼":120398,"éĴ¿":120399,"éĵĢ":120400,"éĵĦ":120401,"éĵĨ":120402,"éĵĪ":120403,"éĵī":120404,"éĵĬ":120405,"éĵĭ":120406,"éĵĮ":120407,"éĵį":120408,"ä¥":120409,"䥽":120410,"éĵİ":120411,"æ°©":120412,"æ°¤":120413,"æ°¦":120414,"毪":120415,"èĪIJ":120416,"秣":120417,"秫":120418,"çĽī":120419,"ç¬Ħ":120420,"ç¬ķ":120421,"ç¬Ĭ":120422,"ç¬ı":120423,"ç¬Ĩ":120424,"俸":120425,"俵":120426,"åģĮ":120427,"俳":120428,"俶":120429,"åĢ¬":120430,"åĢı":120431,"æģģ":120432,"åĢŃ":120433,"俾":120434,"åĢľ":120435,"éļ¼":120436,"éļ½":120437,"åĢĮ":120438,"åĢ¥":120439,"èĩ¬":120440,"éĥ«":120441,"åĢ¨":120442,"è¡Ħ":120443,"é¢Ģ":120444,"å¾ķ":120445,"èĪ«":120446,"衾":120447,"èĥ¯":120448,"èĥ±":120449,"èĥ´":120450,"èĥŃ":120451,"èĦį":120452,"èĥ¼":120453,"èĦĴ":120454,"鸱":120455,"鸲":120456,"çĭ·":120457,"çĮģ":120458,"çĭ³":120459,"çĮĥ":120460,"çĭº":120461,"éĢĸ":120462,"æ¡Ģ":120463,"饽":120464,"åĩĩ":120465,"æĮĽ":120466,"亳":120467,"çĸ³":120468,"çĸ´":120469,"çĸ¸":120470,"çĸ½":120471,"çĹĪ":120472,"çĸ±":120473,"çĹĤ":120474,"çĹī":120475,"è¡®":120476,"é¢ĥ":120477,"æģ£":120478,"æĹĨ":120479,"æĹĦ":120480,"æĹĥ":120481,"éĺĥ":120482,"éĺĦ":120483,"è¨ļ":120484,"éĺĨ":120485,"æģĻ":120486,"ç²ij":120487,"çĥľ":120488,"çĥ©":120489,"çĥĬ":120490,"åī¡":120491,"éĥ¯":120492,"çĥ¬":120493,"æ¶ij":120494,"浯":120495,"æ¶ŀ":120496,"æ¶Ł":120497,"å¨ij":120498,"æ¶ł":120499,"æµŀ":120500,"æ¶ĵ":120501,"æµ¥":120502,"æ¶Ķ":120503,"æµľ":120504,"æµł":120505,"æµ£":120506,"æĤļ":120507,"æĤŃ":120508,"æĤĿ":120509,"æĤĴ":120510,"æĤĮ":120511,"æĤĽ":120512,"çªĪ":120513,"åīľ":120514,"诹":120515,"诼":120516,"è¢Ĵ":120517,"袢":120518,"诿":120519,"è°Ģ":120520,"è°Ĥ":120521,"è°Ħ":120522,"è°ĩ":120523,"å±IJ":120524,"å±Ļ":120525,"éĻ¬":120526,"åĭIJ":120527,"å¥ĺ":120528,"çīĤ":120529,"èļ©":120530,"éĻ²":120531,"å¨Į":120532,"å¨ī":120533,"娲":120534,"娴":120535,"娣":120536,"å¨ĵ":120537,"å©Ģ":120538,"çķļ":120539,"éĢ¡":120540,"绳":120541,"éªĬ":120542,"绡":120543,"éªĭ":120544,"绦":120545,"绨":120546,"éªİ":120547,"éĤķ":120548,"鸶":120549,"å½Ĺ":120550,"èĢľ":120551,"çĦĺ":120552,"èĪĤ":120553,"çIJı":120554,"çIJĩ":120555,"麸":120556,"æı¶":120557,"åŁ´":120558,"åŁ¯":120559,"æį¯":120560,"æݳ":120561,"æİ´":120562,"åŁ¸":120563,"åŁµ":120564,"赧":120565,"åŁ¤":120566,"æįŃ":120567,"éĢµ":120568,"åŁĿ":120569,"åłĭ":120570,"åłį":120571,"æݬ":120572,"鸷":120573,"æį½":120574,"æİĬ":120575,"åłī":120576,"æݸ":120577,"æį©":120578,"æİ®":120579,"æĤ«":120580,"åŁŃ":120581,"åŁ½":120582,"æİĩ":120583,"æݼ":120584,"èģĥ":120585,"èIJģ":120586,"èıĺ":120587,"åłĩ":120588,"èIJĺ":120589,"èIJĭ":120590,"èı½":120591,"èıĸ":120592,"èIJľ":120593,"èIJ¸":120594,"èIJij":120595,"棻":120596,"èıĶ":120597,"èıŁ":120598,"èIJı":120599,"èı¹":120600,"èıª":120601,"èıħ":120602,"èıĢ":120603,"èı°":120604,"èı¡":120605,"梿":120606,"æ¢ı":120607,"è§ĭ":120608,"æ¡´":120609,"æ¡·":120610,"æ£ģ":120611,"æ¡«":120612,"æ£Ĥ":120613,"åķ¬":120614,"éĥ¾":120615,"æķķ":120616,"è±ī":120617,"éĦĦ":120618,"éħŀ":120619,"ç¡İ":120620,"ç¡Ń":120621,"ç¡ĸ":120622,"ç¡Ĺ":120623,"ç¡IJ":120624,"ç¡ĩ":120625,"ç¡Į":120626,"鸸":120627,"çĵł":120628,"åĮı":120629,"åİ©":120630,"æ®Ĵ":120631,"æ®ĵ":120632,"æ®į":120633,"èµī":120634,"鼩":120635,"è¾Ħ":120636,"åłij":120637,"çľŃ":120638,"羦":120639,"åķ§":120640,"æĻ¡":120641,"æĻ¤":120642,"çľµ":120643,"åľĬ":120644,"åĸı":120645,"åķī":120646,"åĭĸ":120647,"æĻŀ":120648,"åĶµ":120649,"æĻĹ":120650,"åķŃ":120651,"çķ¦":120652,"趺":120653,"åķ®":120654,"è·Ħ":120655,"èļ¶":120656,"èĽĦ":120657,"èĽİ":120658,"èĽĨ":120659,"èļ°":120660,"åľī":120661,"èļ±":120662,"èĽī":120663,"èĽı":120664,"èļ´":120665,"åķģ":120666,"åķķ":120667,"åĶ¿":120668,"åķIJ":120669,"åĶ¼":120670,"åĶ·":120671,"åķĸ":120672,"åķµ":120673,"åķ¶":120674,"åķ·":120675,"åĶ³":120676,"åĶ°":120677,"åķľ":120678,"帻":120679,"å´ļ":120680,"å´¦":120681,"帼":120682,"å´®":120683,"å´¤":120684,"å´Ĩ":120685,"èµĩ":120686,"èµĪ":120687,"èµĬ":120688,"éĵij":120689,"éĵĴ":120690,"éĵĹ":120691,"éĵĻ":120692,"éĵŁ":120693,"éĵ¡":120694,"éĵ¢":120695,"éĵ£":120696,"éĵ¤":120697,"éĵ§":120698,"éĵ¨":120699,"éĵ©":120700,"éĵª":120701,"éĵ«":120702,"éĵ¯":120703,"éĵ°":120704,"éĵ±":120705,"éĵ³":120706,"éĵµ":120707,"éĵ·":120708,"çī¾":120709,"鸹":120710,"秾":120711,"éĢ¶":120712,"笺":120713,"çŃĩ":120714,"笸":120715,"笪":120716,"笮":120717,"笳":120718,"笥":120719,"笤":120720,"笳":120721,"笾":120722,"ç¬ŀ":120723,"åģ¾":120724,"åģĥ":120725,"åģķ":120726,"åģĪ":120727,"åĤĢ":120728,"åģ¬":120729,"åģ»":120730,"çļij":120731,"çļİ":120732,"鸻":120733,"å¾ľ":120734,"èĪ¸":120735,"èĪ»":120736,"èĪ´":120737,"èĪ·":120738,"é¾Ľ":120739,"ç¿İ":120740,"èĦ¬":120741,"èĦĺ":120742,"èĦ²":120743,"åĮIJ":120744,"çĮĹ":120745,"çĮ¡":120746,"çĮŀ":120747,"æĸĽ":120748,"çĮķ":120749,"é¦Ĺ":120750,"é¦ĥ":120751,"é¦Ħ":120752,"鸾":120753,"庹":120754,"庾":120755,"çĹĶ":120756,"çĹį":120757,"ç¿Ĭ":120758,"æĹĮ":120759,"æĹİ":120760,"袤":120761,"éĺĩ":120762,"éĺĪ":120763,"éĺī":120764,"éĺĬ":120765,"éĺĭ":120766,"éĺį":120767,"éĺı":120768,"ç¾Ł":120769,"ç²Ŀ":120770,"çĦIJ":120771,"çĦĵ":120772,"çĦĹ":120773,"æ·ħ":120774,"æ·ŀ":120775,"æ¸İ":120776,"涿":120777,"æ·ĸ":120778,"æĮ²":120779,"æ·ł":120780,"涸":120781,"æ¸ij":120782,"æ·¦":120783,"æ·Ŀ":120784,"涪":120785,"æ·Ļ":120786,"涫":120787,"æ¸Į":120788,"æĤ»":120789,"æĤ±":120790,"æĥĿ":120791,"æĥĺ":120792,"æĥĨ":120793,"æĥļ":120794,"æĥĩ":120795,"æĥ®":120796,"çªķ":120797,"è°Į":120798,"æīĪ":120799,"çļ²":120800,"è°ij":120801,"è£Ĩ":120802,"袷":120803,"è£ī":120804,"è°Ĵ":120805,"è°Ķ":120806,"è°ķ":120807,"è°ĸ":120808,"è°Ĺ":120809,"è°Ļ":120810,"è°Ŀ":120811,"éĢ¯":120812,"éĥ¿":120813,"éļĪ":120814,"ç²ľ":120815,"éļį":120816,"éļĹ":120817,"å©Ĭ":120818,"娼":120819,"å©¢":120820,"婵":120821,"èĥ¬":120822,"è¢Ī":120823,"ç¿Į":120824,"æģ¿":120825,"欸":120826,"绫":120827,"éªIJ":120828,"绯":120829,"ç»±":120830,"éªĴ":120831,"绲":120832,"éªĵ":120833,"绶":120834,"绺":120835,"ç»»":120836,"绾":120837,"éªĸ":120838,"ç¼ģ":120839,"èĢł":120840,"çIJ«":120841,"çIJµ":120842,"çIJ¶":120843,"çIJ¥":120844,"çIJ¨":120845,"çIJ°":120846,"çIJ®":120847,"çIJ¯":120848,"çIJ¬":120849,"çIJļ":120850,"è¾ĩ":120851,"é¼ĭ":120852,"æı³":120853,"åłŀ":120854,"æIJ½":120855,"æı¸":120856,"æıł":120857,"åłĻ":120858,"è¶Ħ":120859,"æıĸ":120860,"é¢ī":120861,"å¡Ħ":120862,"æı¿":120863,"èĢĭ":120864,"æıĦ":120865,"èĽ©":120866,"èĽ°":120867,"å¡Ĩ":120868,"æijĴ":120869,"æıĨ":120870,"æݾ":120871,"èģĴ":120872,"èijij":120873,"èijļ":120874,"éĿ°":120875,"éĿ¸":120876,"èij³":120877,"èijº":120878,"èij¸":120879,"èIJ¼":120880,"èij¶":120881,"èĴĮ":120882,"èijŃ":120883,"楮":120884,"棼":120885,"æ¤Ł":120886,"棹":120887,"椤":120888,"棰":120889,"èµį":120890,"æ¤ĭ":120891,"æ¤ģ":120892,"椪":120893,"æ¤IJ":120894,"é¹ģ":120895,"éħ¤":120896,"éħ¢":120897,"éħ¡":120898,"é¹Ĥ":120899,"æ®ļ":120900,"æ®Ľ":120901,"鼱":120902,"è¾ĭ":120903,"æ¤ł":120904,"è¾İ":120905,"çĿĦ":120906,"çĿĩ":120907,"çĿĥ":120908,"æĪ¢":120909,"åĸĭ":120910,"åĹĴ":120911,"åĸĥ":120912,"åĸ±":120913,"åĸ¹":120914,"æĻ·":120915,"åĸĪ":120916,"è·ĸ":120917,"è·Ĺ":120918,"è·ŀ":120919,"è·ļ":120920,"è·İ":120921,"è·ı":120922,"è·Ĩ":120923,"èĽ±":120924,"èĽ²":120925,"èĽŃ":120926,"èĽ³":120927,"èĽIJ":120928,"èĽĶ":120929,"èĽŀ":120930,"èĽ´":120931,"èĽĺ":120932,"åĸģ":120933,"åĸŁ":120934,"åķ¾":120935,"åĹĸ":120936,"åĸij":120937,"åĹŁ":120938,"åĹŀ":120939,"åĸĻ":120940,"åµĺ":120941,"åµĸ":120942,"å´´":120943,"éģĦ":120944,"è©Ī":120945,"åµİ":120946,"嵬":120947,"åµĽ":120948,"嵯":120949,"åµĿ":120950,"嵫":120951,"å¹Ħ":120952,"åµĭ":120953,"èµķ":120954,"éĵ»":120955,"éĵ¼":120956,"éĵ¿":120957,"éĶĥ":120958,"éĶĨ":120959,"éĶĩ":120960,"éĶī":120961,"éĶı":120962,"éĶij":120963,"éĶĴ":120964,"éĶĶ":120965,"éĶķ":120966,"æİ£":120967,"磬":120968,"æ°°":120969,"毳":120970,"毽":120971,"çĬĬ":120972,"çĬĦ":120973,"çĬĭ":120974,"é¹Ħ":120975,"çĬį":120976,"åµĩ":120977,"é»į":120978,"ç¨ĥ":120979,"ç¨Ĥ":120980,"çŃļ":120981,"çѵ":120982,"çŃĮ":120983,"åĤ£":120984,"åĤĪ":120985,"èĪĦ":120986,"çīį":120987,"åĤ¥":120988,"åĤ§":120989,"éģij":120990,"åĤ©":120991,"徨":120992,"åªŃ":120993,"çķ²":120994,"å¼ij":120995,"ç¿ķ":120996,"é¹Ĩ":120997,"èħĪ":120998,"èħĵ":120999,"èħĨ":121000,"èħ´":121001,"èħļ":121002,"èħ±":121003,"鱿":121004,"é²Ģ":121005,"é²Ĥ":121006,"çĮ¢":121007,"çĮ¹":121008,"çĮ¥":121009,"é£ĵ":121010,"è§ŀ":121011,"è§ļ":121012,"çĮ±":121013,"é¢İ":121014,"飧":121015,"é¦ĩ":121016,"é¦Ĭ":121017,"亵":121018,"èĦĶ":121019,"è£Ĵ":121020,"çĹ£":121021,"çŨ":121022,"çŦ":121023,"çĹŀ":121024,"çŤ":121025,"çŧ":121026,"èµĵ":121027,"竦":121028,"çĵ¿":121029,"åķ»":121030,"é¢ı":121031,"é¹ĩ":121032,"éĺij":121033,"éĺĴ":121034,"éĺķ":121035,"ç²ŀ":121036,"éģĴ":121037,"åŃ³":121038,"çĦ¯":121039,"çĦľ":121040,"çĦ±":121041,"é¹Ī":121042,"渫":121043,"æ¹®":121044,"æ¹İ":121045,"æ¹ľ":121046,"æ¹į":121047,"湫":121048,"溲":121049,"æ¹Ł":121050,"æºĨ":121051,"æ¹²":121052,"æ¹Ķ":121053,"æ¹ī":121054,"渥":121055,"æ»ģ":121056,"æĦł":121057,"æĥº":121058,"æĦ¦":121059,"æĥ´":121060,"æĦĢ":121061,"æĦİ":121062,"æĦĶ":121063,"åĸ¾":121064,"å¯IJ":121065,"è°Ł":121066,"裢":121067,"è£İ":121068,"裥":121069,"祾":121070,"è°ł":121071,"è°¡":121072,"è°¥":121073,"è°§":121074,"åѱ":121075,"å¼¼":121076,"å·½":121077,"éªĺ":121078,"媪":121079,"å·¯":121080,"ç¿ļ":121081,"çļ´":121082,"éªĽ":121083,"ç¼Ĥ":121084,"ç¼ĥ":121085,"ç¼Ħ":121086,"å½ĺ":121087,"ç¼ĩ":121088,"ç¼Ī":121089,"ç¼Į":121090,"ç¼ij":121091,"ç¼Ĵ":121092,"ç¼Ĺ":121093,"飨":121094,"èĢ¢":121095,"çijģ":121096,"çijĹ":121097,"çijĦ":121098,"éģ¨":121099,"éªľ":121100,"飫":121101,"é«¡":121102,"塬":121103,"éĦ¢":121104,"è¶Ķ":121105,"è¶ij":121106,"æijħ":121107,"æijģ":121108,"èľĩ":121109,"æIJĭ":121110,"æIJª":121111,"æIJIJ":121112,"æIJĽ":121113,"æIJł":121114,"æijĪ":121115,"å½Ģ":121116,"æ¯Ĥ":121117,"æIJ¦":121118,"æIJ¡":121119,"èĵģ":121120,"æĪ¡":121121,"èĵį":121122,"éĦŀ":121123,"èĵIJ":121124,"èĵ¦":121125,"é¹ĭ":121126,"èĴ½":121127,"èĵĸ":121128,"èĵĬ":121129,"èĴ¯":121130,"èĵŁ":121131,"èĵij":121132,"èĴº":121133,"èĵł":121134,"èĴŁ":121135,"èĴ¡":121136,"èĴ¹":121137,"èĴ´":121138,"èĴĹ":121139,"èĵ¥":121140,"æ¥Ķ":121141,"æ¥Ĥ":121142,"æ¥Ŀ":121143,"楫":121144,"楸":121145,"椴":121146,"æ§Į":121147,"楯":121148,"çļĻ":121149,"æ¦Ī":121150,"æ§İ":121151,"æ¦ī":121152,"楦":121153,"楣":121154,"楹":121155,"椽":121156,"åī½":121157,"éħ©":121158,"èľĥ":121159,"ç¢Ľ":121160,"ç¢ĵ":121161,"硼":121162,"ç¢ī":121163,"ç¢ļ":121164,"ç¢ĩ":121165,"ç¢ľ":121166,"é¹Į":121167,"è¾ı":121168,"é¾ĥ":121169,"é¾ħ":121170,"訾":121171,"ç²²":121172,"çĿļ":121173,"åĹª":121174,"éŁª":121175,"åĹ·":121176,"åĹī":121177,"çĿ¨":121178,"çĿ¢":121179,"éĽİ":121180,"çĿ¥":121181,"åĹij":121182,"åĹ«":121183,"åŬ":121184,"åĹĶ":121185,"åĹĿ":121186,"æĪ¥":121187,"åĹĦ":121188,"çħ¦":121189,"æļĦ":121190,"éģ¢":121191,"æļĮ":121192,"è·¬":121193,"è·¶":121194,"è·¸":121195,"è·IJ":121196,"è·£":121197,"è·¹":121198,"èĽ¸":121199,"èľĬ":121200,"èľį":121201,"èľī":121202,"èľ£":121203,"çķ¹":121204,"èĽ¹":121205,"åĹ¥":121206,"åĹ²":121207,"åĹ³":121208,"åĹĮ":121209,"åĹį":121210,"åĹIJ":121211,"åŤ":121212,"åŵ":121213,"罨":121214,"åµĬ":121215,"åµ´":121216,"骰":121217,"éĶĹ":121218,"éĶĽ":121219,"éĶľ":121220,"éĶĿ":121221,"éĶŀ":121222,"éĶŁ":121223,"éĶ¢":121224,"éĶ¨":121225,"éĶ©":121226,"éĶŃ":121227,"éĶ±":121228,"éĽī":121229,"æ°²":121230,"çĬı":121231,"æŃĥ":121232,"ç¨ŀ":121233,"ç¨Ĺ":121234,"ç¨Ķ":121235,"çŃł":121236,"çŃ¢":121237,"çŃ®":121238,"çŃ²":121239,"çīĴ":121240,"æķ«":121241,"å¾Ń":121242,"æĦĨ":121243,"èīĦ":121244,"è§İ":121245,"毹":121246,"è²Ĭ":121247,"è²ħ":121248,"è²ī":121249,"é¢Ķ":121250,"èħł":121251,"èħ©":121252,"èħ¼":121253,"èħŃ":121254,"èħ§":121255,"å¡į":121256,"媵":121257,"é²ħ":121258,"é²Ĩ":121259,"é²ĩ":121260,"é²Ī":121261,"é²ĭ":121262,"é²IJ":121263,"èĤĦ":121264,"é¹IJ":121265,"é£ķ":121266,"觥":121267,"éģĽ":121268,"é¦IJ":121269,"é¹ij":121270,"亶":121271,"çĺĥ":121272,"çű":121273,"çĹ¼":121274,"çĹ¿":121275,"çĺIJ":121276,"çĺģ":121277,"çĺĨ":121278,"éºĤ":121279,"æŃĨ":121280,"æĹĴ":121281,"éĺĸ":121282,"éĺĹ":121283,"羧":121284,"è±¢":121285,"ç²³":121286,"çĮ·":121287,"çħ³":121288,"çħ¨":121289,"çħħ":121290,"çħĬ":121291,"çħ¸":121292,"çħº":121293,"æ»Ł":121294,"溱":121295,"æºĺ":121296,"æ¼Ń":121297,"滢":121298,"溥":121299,"溽":121300,"è£Ł":121301,"溻":121302,"溷":121303,"æ»Ĺ":121304,"滫":121305,"溴":121306,"æ»ı":121307,"æ»ĥ":121308,"滦":121309,"æºı":121310,"æ»Ĥ":121311,"æ»ĵ":121312,"æºŁ":121313,"滪":121314,"æĦ«":121315,"æħĬ":121316,"é²İ":121317,"éªŀ":121318,"çªł":121319,"窣":121320,"裱":121321,"裨":121322,"裾":121323,"裰":121324,"ç¦Ĭ":121325,"è°©":121326,"è°ª":121327,"媾":121328,"å««":121329,"媲":121330,"å«Ĵ":121331,"å«Ķ":121332,"媸":121333,"ç¼Ļ":121334,"ç¼ľ":121335,"ç¼Ľ":121336,"è¾Ķ":121337,"éªĿ":121338,"ç¼Ł":121339,"缡":121340,"ç¼¢":121341,"ç¼£":121342,"éªŁ":121343,"èĢ¥":121344,"çĴĪ":121345,"çijŃ":121346,"çįĴ":121347,"è§ı":121348,"æħĿ":121349,"å«ł":121350,"åıĨ":121351,"æij½":121352,"å¢ģ":121353,"æĴĤ":121354,"æijŀ":121355,"æĴĦ":121356,"ç¿¥":121357,"è¸ħ":121358,"æijŃ":121359,"å¢ī":121360,"å¢Ĵ":121361,"æ¦ĸ":121362,"綦":121363,"èĶ«":121364,"èĶ·":121365,"éĿº":121366,"éĿ¼":121367,"éŀħ":121368,"éĿ¿":121369,"çĶį":121370,"èĶ¸":121371,"èĶŁ":121372,"èĶº":121373,"æĪ¬":121374,"èķĸ":121375,"èĶ»":121376,"èĵ¿":121377,"æĸ¡":121378,"é¹ķ":121379,"èĵ¼":121380,"æ¦Ľ":121381,"榧":121382,"榫":121383,"æ¦Ń":121384,"æ§Ķ":121385,"榱":121386,"æ§ģ":121387,"æ§ł":121388,"榷":121389,"åĥ°":121390,"éħ½":121391,"éħ¹":121392,"碡":121393,"碴":121394,"碣":121395,"碲":121396,"èĩ§":121397,"豨":121398,"殡":121399,"éľģ":121400,"èľļ":121401,"é¾ĩ":121402,"é¾Ī":121403,"äģ":121404,"äģĸ":121405,"çĿ½":121406,"åĺŀ":121407,"åĺĪ":121408,"åĺĮ":121409,"åĺģ":121410,"æļĿ":121411,"è¸Į":121412,"è¸ī":121413,"èľŀ":121414,"èľ¥":121415,"èľ®":121416,"èĿĪ":121417,"èľ´":121418,"èľ±":121419,"èľ©":121420,"èľ·":121421,"èľ¿":121422,"èŀĤ":121423,"èľ¢":121424,"åĺ¡":121425,"é¹Ĺ":121426,"åĺ£":121427,"åĺ¤":121428,"åĺļ":121429,"åĹ¾":121430,"åĺ§":121431,"ç½´":121432,"ç½±":121433,"å¹Ķ":121434,"å¶Ĥ":121435,"å¹Ľ":121436,"èµĻ":121437,"ç½Ĥ":121438,"骷":121439,"骶":121440,"é¹ĺ":121441,"éĶ²":121442,"éĶ´":121443,"éĶ¶":121444,"éĶ·":121445,"éĶ¸":121446,"éĶµ":121447,"éķĤ":121448,"çĬĴ":121449,"ç®IJ":121450,"箦":121451,"箧":121452,"箸":121453,"箬":121454,"ç®ħ":121455,"箪":121456,"箾":121457,"箢":121458,"ç®ĵ":121459,"åĥĸ":121460,"åĦĨ":121461,"åĥ³":121462,"åĥŃ":121463,"åĬģ":121464,"åĥ®":121465,"éŃĥ":121466,"éŃĨ":121467,"çĿ¾":121468,"èīĭ":121469,"éĦ±":121470,"èĨĪ":121471,"èĨij":121472,"é²ij":121473,"é²Ķ":121474,"é²ļ":121475,"é²Ľ":121476,"é²Ł":121477,"çįIJ":121478,"觫":121479,"éĽĴ":121480,"夤":121481,"é¦ij":121482,"éĬ®":121483,"塾":121484,"çĺĮ":121485,"çĺĬ":121486,"çĺĺ":121487,"çĺĻ":121488,"æĹĸ":121489,"èĨĤ":121490,"éĺļ":121491,"éĦ¯":121492,"é²ŀ":121493,"粿":121494,"ç²¼":121495,"ç³ģ":121496,"æ§Ĭ":121497,"é¹ļ":121498,"çĨĺ":121499,"çĨ¥":121500,"æ½¢":121501,"æ¼ķ":121502,"滹":121503,"漯":121504,"漶":121505,"æ½ĭ":121506,"æ½´":121507,"漪":121508,"æ¼ī":121509,"漩":121510,"æ¾ī":121511,"æħµ":121512,"æIJ´":121513,"窨":121514,"寤":121515,"綮":121516,"è°®":121517,"褡":121518,"è¤Ļ":121519,"è¤ĵ":121520,"è¤Ľ":121521,"è¤Ĭ":121522,"è°¯":121523,"è°°":121524,"è°²":121525,"å±£":121526,"é¹Ľ":121527,"嫱":121528,"å«ĸ":121529,"嫦":121530,"å«ļ":121531,"å«ĺ":121532,"é¼IJ":121533,"çŀĢ":121534,"é¹ľ":121535,"éªł":121536,"ç¼¥":121537,"缦":121538,"缧":121539,"缨":121540,"骢":121541,"缫":121542,"èĢ¦":121543,"èĢ§":121544,"çĴľ":121545,"çĴİ":121546,"çĴģ":121547,"å¥Ń":121548,"髯":121549,"é««":121550,"æĴ·":121551,"æĴħ":121552,"èµŃ":121553,"æĴ¸":121554,"éĭĨ":121555,"æĴĻ":121556,"æĴº":121557,"å¢Ģ":121558,"èģ©":121559,"è§IJ":121560,"éŀij":121561,"èķĻ":121562,"éŀĴ":121563,"èķĪ":121564,"èķ¨":121565,"èķ¤":121566,"èķŀ":121567,"èķº":121568,"çŀ¢":121569,"èķĥ":121570,"èķ²":121571,"èµľ":121572,"槿":121573,"樯":121574,"æ§Ń":121575,"æ¨Ĺ":121576,"æ¨ĺ":121577,"槲":121578,"éĨĮ":121579,"éĨħ":121580,"éĿ¥":121581,"éŃĩ":121582,"é¤į":121583,"ç£Ķ":121584,"ç£Ļ":121585,"éľĪ":121586,"è¾ĺ":121587,"é¾ī":121588,"é¾Ĭ":121589,"è§ij":121590,"çŀĮ":121591,"çŀĭ":121592,"çŀij":121593,"åĺŃ":121594,"åĻİ":121595,"åĻ¶":121596,"é¢Ļ":121597,"æļ¹":121598,"åĻĺ":121599,"è¸Ķ":121600,"è¸Ŀ":121601,"è¸Ł":121602,"è¸Ĵ":121603,"踬":121604,"踮":121605,"踯":121606,"踺":121607,"è¸ŀ":121608,"èĿ½":121609,"èĿ¾":121610,"èĿ»":121611,"èĿ°":121612,"èĿ®":121613,"èŀĭ":121614,"èĿĵ":121615,"èĿ£":121616,"èĿ¼":121617,"åĺ¬":121618,"é¢ļ":121619,"åĻį":121620,"åĻĻ":121621,"åĻĮ":121622,"åĻĶ":121623,"é¢Ľ":121624,"å¹ŀ":121625,"幡":121626,"å¶Ļ":121627,"å¶Ŀ":121628,"骺":121629,"éķĬ":121630,"éķī":121631,"éķĮ":121632,"éķı":121633,"éķĴ":121634,"éķĵ":121635,"éķĶ":121636,"稷":121637,"ç®´":121638,"ç¯ij":121639,"ç¯ģ":121640,"ç¯Į":121641,"çīĸ":121642,"åĦĭ":121643,"èĻ¢":121644,"é¹ŀ":121645,"èĨĺ":121646,"é²ł":121647,"鲡":121648,"é²¢":121649,"é²£":121650,"é²¥":121651,"鲧":121652,"鲩":121653,"çįĹ":121654,"çįł":121655,"觯":121656,"é¦ĵ":121657,"é¦Ķ":121658,"麾":121659,"å»Ľ":121660,"çĺĽ":121661,"çĺ¼":121662,"çĺ¢":121663,"çĺł":121664,"é½ij":121665,"ç¾°":121666,"ð¥»":121667,"ð¥»Ĺ":121668,"ç³Į":121669,"ç³į":121670,"ç³ħ":121671,"çĨľ":121672,"çĨµ":121673,"æ¾į":121674,"æ¾Į":121675,"潸":121676,"潦":121677,"æ½²":121678,"éĭĪ":121679,"æ½Ł":121680,"潺":121681,"寮":121682,"窳":121683,"è°³":121684,"褴":121685,"è¤Ł":121686,"褫":121687,"è°µ":121688,"çĨ¨":121689,"屦":121690,"åĭ°":121691,"æĪ®":121692,"èĿ¥":121693,"缬":121694,"ç¼®":121695,"缯":121696,"骣":121697,"çķ¿":121698,"èĢ©":121699,"èĢ¨":121700,"èĢª":121701,"çĴŁ":121702,"éĿĽ":121703,"çĴł":121704,"çĴĺ":121705,"èģ±":121706,"èŀ¯":121707,"é«»":121708,"é«Ń":121709,"髹":121710,"æĵĢ":121711,"çĶı":121712,"æĵŀ":121713,"縳":121714,"磬":121715,"é¢ŀ":121716,"èķ»":121717,"é¢Ł":121718,"èĸ¤":121719,"èĸ¨":121720,"æªł":121721,"èĸı":121722,"èĸ®":121723,"èĸľ":121724,"èĸħ":121725,"樾":121726,"æ©Ľ":121727,"æ©ĩ":121728,"樵":121729,"æªİ":121730,"橹":121731,"樽":121732,"樨":121733,"橼":121734,"墼":121735,"æ©IJ":121736,"ç¿®":121737,"éĨIJ":121738,"éĨį":121739,"éĨļ":121740,"磲":121741,"èµĿ":121742,"殪":121743,"éľı":121744,"éĮ¾":121745,"è¾ļ":121746,"éģ½":121747,"æ°ħ":121748,"çŀŁ":121749,"çŀł":121750,"çŀ°":121751,"åļĦ":121752,"åļĨ":121753,"åĻ¤":121754,"æļ¾":121755,"è¹Ģ":121756,"踵":121757,"踽":121758,"è¹ī":121759,"è¹ģ":121760,"èŀ¨":121761,"èŀĪ":121762,"èŀħ":121763,"èŀŃ":121764,"èŀł":121765,"èŀŁ":121766,"åĻ±":121767,"åĻ«":121768,"åĻ»":121769,"åĻ¼":121770,"ç½¹":121771,"åľľ":121772,"ä¦":121773,"ä¦ĥ":121774,"éķĹ":121775,"éķĺ":121776,"éķļ":121777,"éķĽ":121778,"éķĿ":121779,"éķŀ":121780,"éķł":121781,"æ°ĩ":121782,"æ°Ĩ":121783,"ç©ij":121784,"ç¯Ŀ":121785,"篥":121786,"篦":121787,"篪":121788,"ç¯Ļ":121789,"çĽ¥":121790,"åĬĵ":121791,"翱":121792,"éŃī":121793,"éŃĪ":121794,"å¾¼":121795,"æŃĻ":121796,"èĨ¦":121797,"èĨĻ":121798,"é²®":121799,"é²±":121800,"é²³":121801,"é²´":121802,"é²µ":121803,"é²·":121804,"é²»":121805,"çį´":121806,"çįŃ":121807,"çį¬":121808,"éĤĤ":121809,"鹧":121810,"廨":121811,"èµŁ":121812,"çĺ°":121813,"廪":121814,"çĺ¿":121815,"çĺµ":121816,"çĺ´":121817,"çĻĥ":121818,"çĺ³":121819,"éºĩ":121820,"éºĪ":121821,"嬴":121822,"å£ħ":121823,"ç³Ĺ":121824,"çĶij":121825,"çĩİ":121826,"çĩł":121827,"çĩĶ":121828,"çĩ§":121829,"æ¿ij":121830,"æ¿ī":121831,"æ½ŀ":121832,"澧":121833,"æ¾¹":121834,"æ¾¥":121835,"澶":121836,"æ¿Ĥ":121837,"褰":121838,"窸":121839,"å¬ĸ":121840,"çĬŁ":121841,"éļ°":121842,"å¬Ĺ":121843,"颡":121844,"ç¼±":121845,"ç¼²":121846,"ç¼³":121847,"çĴ©":121848,"çĴª":121849,"èŀ«":121850,"æĵ¤":121851,"å£ķ":121852,"觳":121853,"ç½Ħ":121854,"æĵ¢":121855,"èĸ¹":121856,"éŀ¡":121857,"éŀ¬":121858,"èĸ·":121859,"èĹĵ":121860,"èĹģ":121861,"æªĦ":121862,"檩":121863,"æĩĭ":121864,"éĨ¢":121865,"翳":121866,"ç¤ħ":121867,"磴":121868,"鹩":121869,"é¾ĭ":121870,"é¾Į":121871,"è±³":121872,"å£ij":121873,"é»»":121874,"åļı":121875,"åļħ":121876,"è¹ij":121877,"è¹Ĵ":121878,"è¹Ĭ":121879,"èŁ¥":121880,"èŀ¬":121881,"èŀµ":121882,"çĸĥ":121883,"èŀ³":121884,"èŁij":121885,"åļĵ":121886,"ç½½":121887,"ç½¾":121888,"嶷":121889,"黾":121890,"é»Ŀ":121891,"é«ģ":121892,"é«Ģ":121893,"éķ¡":121894,"éķ¢":121895,"éķ£":121896,"éķ¦":121897,"éķ§":121898,"éķ©":121899,"éķª":121900,"éķ«":121901,"ç½ħ":121902,"ç°Į":121903,"篾":121904,"篼":121905,"ç°ĸ":121906,"ç°ĭ":121907,"é¼¢":121908,"åĦ¡":121909,"鹪":121910,"é¼¾":121911,"çļ¤":121912,"éŃį":121913,"é¾ł":121914,"ç¹ĩ":121915,"è²ĺ":121916,"éĤĪ":121917,"è²Ķ":121918,"èĩĮ":121919,"èĨ»":121920,"èĩĨ":121921,"èĩĥ":121922,"é²¼":121923,"é²½":121924,"é³Ģ":121925,"é³ĥ":121926,"é³ħ":121927,"é³ĩ":121928,"é³Ĭ":121929,"èŀ½":121930,"çĩ®":121931,"鹫":121932,"ç³ľ":121933,"縻":121934,"çĻį":121935,"éºĭ":121936,"æĩij":121937,"æ¿¡":121938,"æ¿®":121939,"æ¿ŀ":121940,"æ¿ł":121941,"濯":121942,"è¹ĩ":121943,"è¬ĩ":121944,"éĤĥ":121945,"è¥ģ":121946,"æªĹ":121947,"æĵĺ":121948,"åŃº":121949,"éļ³":121950,"嬷":121951,"èŁĬ":121952,"鹬":121953,"éįª":121954,"éıĬ":121955,"é¬Ī":121956,"é¬ĥ":121957,"çŀ½":121958,"éŀ¯":121959,"éŀ¨":121960,"éŀ«":121961,"éŀ§":121962,"éŀ£":121963,"èĹľ":121964,"èĹł":121965,"éĨª":121966,"è¹Ļ":121967,"ç¤ĵ":121968,"çĩ¹":121969,"餮":121970,"çŀ¿":121971,"æĽĽ":121972,"颢":121973,"èºĩ":121974,"è¹ļ":121975,"èŁĽ":121976,"èŁª":121977,"èŁł":121978,"èŁ®":121979,"é¹®":121980,"黳":121981,"黣":121982,"é«ħ":121983,"é«Ĥ":121984,"éķ¬":121985,"éķŃ":121986,"éķ¯":121987,"馥":121988,"ç°Ł":121989,"ç°ª":121990,"鼬":121991,"鼳":121992,"èīŁ":121993,"é³İ":121994,"é³ı":121995,"é³IJ":121996,"çĻŀ":121997,"çĻĶ":121998,"糨":121999,"蹩":122000,"éİı":122001,"éĤĭ":122002,"é¬ı":122003,"æĶī":122004,"éŀ²":122005,"éŀ´":122006,"èĹ¿":122007,"èĺ§":122008,"èĺħ":122009,"éĨ®":122010,"éĨ¯":122011,"éħĥ":122012,"éľª":122013,"éľŃ":122014,"龨":122015,"黼":122016,"åļ¯":122017,"è¹°":122018,"蹶":122019,"è¹½":122020,"è¹¼":122021,"è¹´":122022,"è¹¾":122023,"蹿":122024,"èłĸ":122025,"èłĵ":122026,"èŁ¾":122027,"èłĬ":122028,"黢":122029,"é«ĭ":122030,"é«Į":122031,"éķ²":122032,"ç±Ģ":122033,"é½ģ":122034,"éŃij":122035,"èī¨":122036,"é³ĵ":122037,"é³Ķ":122038,"é³ķ":122039,"é³Ĺ":122040,"é³Ļ":122041,"éıĸ":122042,"羸":122043,"ã¸Ĩ":122044,"çĢ£":122045,"çĢĽ":122046,"襦":122047,"è°¶":122048,"è¥ŀ":122049,"骥":122050,"ç¼µ":122051,"çĵĴ":122052,"æĶĺ":122053,"èĺ©":122054,"èĺĸ":122055,"éĨ´":122056,"éľ°":122057,"éħĨ":122058,"çŁį":122059,"èºħ":122060,"é¼į":122061,"å·ī":122062,"黩":122063,"黥":122064,"黪":122065,"éķ³":122066,"éķ´":122067,"黧":122068,"çºĤ":122069,"çĴº":122070,"鼯":122071,"èĩľ":122072,"é³ľ":122073,"é³Ŀ":122074,"é³Ł":122075,"çį¾":122076,"åŃĢ":122077,"骧":122078,"çĵĺ":122079,"é¼Ļ":122080,"éĨº":122081,"礴":122082,"颦":122083,"æĽ©":122084,"é³¢":122085,"éºĿ":122086,"å¤Ķ":122087,"çĪĿ":122088,"çģı":122089,"禳":122090,"éIJ¾":122091,"ç¾¼":122092,"èł¡":122093,"èĢ±":122094,"é¹³":122095,"æ°į":122096,"é¥ķ":122097,"èºIJ":122098,"é«ij":122099,"éķµ":122100,"ç©°":122101,"é¥Ķ":122102,"鬻":122103,"鬣":122104,"趱":122105,"æĶ«":122106,"æĶ¥":122107,"颧":122108,"èºľ":122109,"é¼¹":122110,"çĻ¯":122111,"èł²":122112,"èł¹":122113,"èºŀ":122114,"è¡¢":122115,"çģŀ":122116,"襻":122117,"çºĽ":122118,"鬣":122119,"æĶ®":122120,"åĽĶ":122121,"é¦ķ":122122,"æĪĨ":122123,"çĪ¨":122124,"é½ī":122125,"äºį":122126,"å°¢":122127,"å½³":122128,"åį¬":122129,"殳":122130,"ðłĻ¶":122131,"æ¯Į":122132,"éĤĺ":122133,"æĪĭ":122134,"åľ¢":122135,"æ°ķ":122136,"ä¼ĭ":122137,"ä»Ŀ":122138,"åĨ®":122139,"æ°¿":122140,"æ±Ī":122141,"æ°¾":122142,"å¿ī":122143,"å®Ħ":122144,"ð¬£Ļ":122145,"è®±":122146,"æīŀ":122147,"åľ²":122148,"åľ«":122149,"èĬı":122150,"èĬĥ":122151,"æľ³":122152,"æľ¸":122153,"ð¨Ļ":122154,"ð¨Ļ¸":122155,"éĤ¨":122156,"åIJĴ":122157,"åIJĸ":122158,"å±¼":122159,"å±¾":122160,"辿":122161,"éĴĨ":122162,"仳":122163,"ä¼£":122164,"ä¼Ī":122165,"çĻ¿":122166,"çĶª":122167,"éĤł":122168,"çĬ´":122169,"åĨ±":122170,"éĤ¡":122171,"ð¬ĩķ":122172,"æ±ĭ":122173,"äľ":122174,"äľ£":122175,"è®»":122176,"ð¬£ŀ":122177,"åŃĸ":122178,"ð¬ĺĵ":122179,"纩":122180,"çİĴ":122181,"çİĵ":122182,"çİĺ":122183,"çİļ":122184,"åĪ¬":122185,"ð«ŃŁ":122186,"åĿľ":122187,"åĿī":122188,"æī½":122189,"ð«Ń¢":122190,"åĿĭ":122191,"æīº":122192,"ã§ij":122193,"æ¯IJ":122194,"èĬ°":122195,"èĬ£":122196,"èĭĬ":122197,"èĭī":122198,"èĬĺ":122199,"èĬ´":122200,"èĬł":122201,"ð«ĩ":122202,"ð«ĩŃ":122203,"èĬ¤":122204,"æĿķ":122205,"æĿĻ":122206,"æĿĦ":122207,"æĿ§":122208,"æĿ©":122209,"å°ª":122210,"å°¨":122211,"轪":122212,"ð«IJĦ":122213,"åĿĴ":122214,"èĬĪ":122215,"æĹ´":122216,"æŵ":122217,"åijĻ":122218,"ãķ":122219,"ãķ®":122220,"å²į":122221,"ð«µ":122222,"𫵷":122223,"å²ł":122224,"å²ľ":122225,"åijĩ":122226,"åĨı":122227,"è§ĥ":122228,"å²Ļ":122229,"ä¼¾":122230,"ãijĩ":122231,"ä¼Ń":122232,"ä½ĸ":122233,"ä¼²":122234,"ä½ģ":122235,"é£ı":122236,"çĭĥ":122237,"éŶ":122238,"汧":122239,"汫":122240,"ð£²ĺ":122241,"ð£²Ĺ":122242,"æ²Ħ":122243,"æ²ĺ":122244,"ð¬ĩĻ":122245,"æ±Ń":122246,"ã³ĩ":122247,"æ²ĩ":122248,"å¿®":122249,"忳":122250,"忺":122251,"𬣡":122252,"ç¥ĥ":122253,"è¯ĩ":122254,"éĤ²":122255,"è¯İ":122256,"è¯IJ":122257,"å±ĥ":122258,"ð«¸":122259,"𫸩":122260,"å²Ĭ":122261,"éĺ½":122262,"䢺":122263,"éĺ¼":122264,"妧":122265,"å¦ĺ":122266,"ð¨ļ":122267,"ð¨ļķ":122268,"纮":122269,"驲":122270,"ð«ĺľ":122271,"纻":122272,"ð¬ĺĺ":122273,"ð«ĺĿ":122274,"纼":122275,"çݤ":122276,"çİŀ":122277,"çݱ":122278,"çİŁ":122279,"éĤ½":122280,"éĤ¿":122281,"åĿ¥":122282,"åĿ°":122283,"åĿ¬":122284,"åĿ½":122285,"å¼Ĩ":122286,"èĢµ":122287,"䢼":122288,"ð¦Ń":122289,"ð¦Ńľ":122290,"èĮĭ":122291,"èĭ§":122292,"èĭ¾":122293,"èĭł":122294,"æŀħ":122295,"ãŃİ":122296,"æŀĺ":122297,"æŀį":122298,"çŁ¼":122299,"磻":122300,"åĮ¼":122301,"ð¬¨Ĥ":122302,"ð¬Ģ©":122303,"ð¬Ģª":122304,"æĹ¿":122305,"æĺĦ":122306,"æĺĴ":122307,"æĺĪ":122308,"åĴī":122309,"åĴĩ":122310,"åĴį":122311,"å²µ":122312,"å²½":122313,"岨":122314,"å²ŀ":122315,"å³Ĥ":122316,"ãŁ":122317,"ãŁĥ":122318,"åĽ·":122319,"𬬩":122320,"éĴIJ":122321,"éĴĶ":122322,"éĴĸ":122323,"çī¥":122324,"ä½´":122325,"åŀĪ":122326,"ä¾ģ":122327,"ä¾¹":122328,"佸":122329,"佺":122330,"éļ¹":122331,"ãijĬ":122332,"ä¾Ĥ":122333,"ä½½":122334,"ä¾ĺ":122335,"éĥĪ":122336,"èĪł":122337,"éĥIJ":122338,"éĥĥ":122339,"æĶ½":122340,"èĤŃ":122341,"èĤ¸":122342,"èĤ·":122343,"çĭī":122344,"çĭĿ":122345,"饳":122346,"å¿ŀ":122347,"çĤĮ":122348,"çĤĨ":122349,"æ³Ļ":122350,"沺":122351,"æ³Ĥ":122352,"æ³ľ":122353,"æ³ĥ":122354,"æ³ĩ":122355,"æĢĬ":122356,"å³ĥ":122357,"穸":122358,"ç¥ĭ":122359,"ç¥Ĭ":122360,"ð«į£":122361,"𬣳":122362,"𬩽":122363,"鸤":122364,"å¼¢":122365,"弨":122366,"éĻij":122367,"𬮿":122368,"éĻİ":122369,"ð¬¯Ģ":122370,"åįº":122371,"乸":122372,"å¦Ń":122373,"å§Ī":122374,"ð«°":122375,"ð«°Ľ":122376,"迳":122377,"åıķ":122378,"𬳵":122379,"驵":122380,"𬳶":122381,"äĮ":122382,"äĮ¹":122383,"驺":122384,"ð«łĬ":122385,"ç»ĭ":122386,"ç»IJ":122387,"çłī":122388,"èĢĶ":122389,"ãĽĥ":122390,"çݶ":122391,"çıĩ":122392,"çıħ":122393,"ð¬įĽ":122394,"çıĭ":122395,"çݹ":122396,"çıĮ":122397,"çİ¿":122398,"飨":122399,"åŀļ":122400,"åŀ¯":122401,"åŀĻ":122402,"åŀ²":122403,"åŁı":122404,"åŀį":122405,"èĢĩ":122406,"é¿į":122407,"åŀİ":122408,"åŀ´":122409,"åŀŁ":122410,"åŀŀ":122411,"æĮĵ":122412,"åŀµ":122413,"åŀı":122414,"æĭ¶":122415,"èįĸ":122416,"èįģ":122417,"èįĻ":122418,"èįĽ":122419,"èĮĪ":122420,"èĮ½":122421,"èįĦ":122422,"èĮº":122423,"ð¬ľ¬":122424,"èįĵ":122425,"èĮ³":122426,"ð¦°":122427,"𦰡":122428,"èĮĽ":122429,"èįŃ":122430,"ãŃķ":122431,"æŁ·":122432,"æŁĥ":122433,"æŁĬ":122434,"æŀ¹":122435,"æłIJ":122436,"æŁĸ":122437,"éĥļ":122438,"åīħ":122439,"ä´ĵ":122440,"迺":122441,"åİĸ":122442,"çłĨ":122443,"çłij":122444,"çłĦ":122445,"èĢı":122446,"å¥ĵ":122447,"ä¶":122448,"䶮":122449,"è½µ":122450,"è½·":122451,"è½¹":122452,"轺":122453,"æĺº":122454,"ðª¾":122455,"𪾢":122456,"æĺ½":122457,"缷":122458,"åĴ¡":122459,"åĴº":122460,"æĺ³":122461,"æĺ£":122462,"æĺ¤":122463,"æĺ«":122464,"æĺ¡":122465,"åĴ¥":122466,"æĺª":122467,"èĻ·":122468,"èĻ¸":122469,"åĵĥ":122470,"å³ĺ":122471,"èĢij":122472,"å³Ľ":122473,"𪨰":122474,"å³Ĺ":122475,"峧":122476,"帡":122477,"éĴĺ":122478,"ð«ĵ§":122479,"éĴľ":122480,"𬬮":122481,"𬬱":122482,"ð¬¬Ń":122483,"éĴª":122484,"éĴ¬":122485,"éĴŃ":122486,"磧":122487,"秬":122488,"ä¿«":122489,"èĪģ":122490,"ä¿ľ":122491,"ä¿Ļ":122492,"ä¿į":122493,"åŀķ":122494,"è¡İ":122495,"èĪ£":122496,"å¼ĩ":122497,"ä¾´":122498,"鸧":122499,"äı¡":122500,"èĥł":122501,"ð¦Ļ¶":122502,"èĥĪ":122503,"èĥ©":122504,"èĥ£":122505,"æľı":122506,"é£IJ":122507,"è¨Ħ":122508,"饻":122509,"庤":122510,"çĸ¢":122511,"çĤ£":122512,"çĤŁ":122513,"ã¶":122514,"㶲":122515,"æ´Ń":122516,"æ´ĺ":122517,"æ´ĵ":122518,"æ´¿":122519,"ã³ļ":122520,"æ³ļ":122521,"æµĪ":122522,"æµī":122523,"æ´¸":122524,"æ´ij":122525,"æ´¢":122526,"æ´Ī":122527,"æ´ļ":122528,"æ´º":122529,"æ´¨":122530,"æµIJ":122531,"ã³ĺ":122532,"æ´´":122533,"æ´£":122534,"æģĶ":122535,"宬":122536,"çªĢ":122537,"æīĤ":122538,"è¢Ĩ":122539,"ç¥ı":122540,"ç¥IJ":122541,"ç¥ķ":122542,"åıļ":122543,"éĻ§":122544,"éĻŀ":122545,"å¨Ģ":122546,"å§ŀ":122547,"姱":122548,"姤":122549,"姶":122550,"姽":122551,"æŀ²":122552,"ç»ĸ":122553,"éªĥ":122554,"ð¬ĺ¡":122555,"𬳽":122556,"ð¬ĺ©":122557,"ð«Ħ§":122558,"å½ĸ":122559,"éªī":122560,"æģĿ":122561,"çıª":122562,"çıĽ":122563,"çı¹":122564,"çIJĬ":122565,"çݼ":122566,"çıĸ":122567,"ðªŁ":122568,"ðªŁĿ":122569,"çı½":122570,"çı¦":122571,"çı«":122572,"çıĴ":122573,"ð¬į¤":122574,"çı¢":122575,"çıķ":122576,"çıĿ":122577,"ð«Ń¼":122578,"åŁĹ":122579,"åŀ¾":122580,"åŀº":122581,"åŁĨ":122582,"åŀ¿":122583,"åŁĮ":122584,"åŁĩ":122585,"èİ°":122586,"èĮĿ":122587,"ð¬ľ¯":122588,"éĦĢ":122589,"èݶ":122590,"èİĿ":122591,"äĵĸ":122592,"èİĻ":122593,"æł»":122594,"æ¡ł":122595,"ð¬Ĥ":122596,"ð¬Ĥ©":122597,"æ¡Ħ":122598,"æ¢ł":122599,"æł´":122600,"梴":122601,"æłĴ":122602,"éħİ":122603,"éħı":122604,"ð«łĨ":122605,"çłµ":122606,"çłł":122607,"çł«":122608,"糬":122609,"ç¡ģ":122610,"æģ§":122611,"ç¿ĥ":122612,"éĥª":122613,"ð¨IJ":122614,"ð¨IJĪ":122615,"è¾Ģ":122616,"è¾ģ":122617,"ð¬Į":122618,"ð¬ĮĹ":122619,"åīķ":122620,"èµĢ":122621,"åĵ¢":122622,"æĻħ":122623,"æĻĬ":122624,"åĶĿ":122625,"åĵ³":122626,"åĵ±":122627,"åĨĶ":122628,"æĻĶ":122629,"æĻIJ":122630,"çķĸ":122631,"èļĦ":122632,"èļĨ":122633,"ð«ij":122634,"ð«ij¡":122635,"帱":122636,"å´ģ":122637,"峿":122638,"𪨶":122639,"å´Ħ":122640,"帨":122641,"å´Ģ":122642,"èµĨ":122643,"𬬸":122644,"éĴ·":122645,"𬬻":122646,"𬬹":122647,"𬬿":122648,"ð¬Ńģ":122649,"çľļ":122650,"çĶ¡":122651,"笫":122652,"åĢ»":122653,"åĢ´":122654,"èĦ©":122655,"åĢ®":122656,"åĢķ":122657,"åĢŀ":122658,"ð«¢":122659,"𫢸":122660,"åĢĵ":122661,"åĢ§":122662,"è¡ĥ":122663,"èĻĴ":122664,"èĪŃ":122665,"èĪ¯":122666,"èĪ¥":122667,"çĵŀ":122668,"鬯":122669,"鸰":122670,"èĦİ":122671,"æľĵ":122672,"èĥ²":122673,"èĻĵ":122674,"é±½":122675,"çĭ´":122676,"å³±":122677,"çĭ»":122678,"çľ¢":122679,"ð«Ĺ§":122680,"åĭį":122681,"çĹĦ":122682,"çĸ°":122683,"çĹĥ":122684,"ç«ĺ":122685,"ç¾ĸ":122686,"ç¾ĵ":122687,"æ¡Ĭ":122688,"æķī":122689,"çĥł":122690,"çĥĶ":122691,"çĥ¶":122692,"çĥ»":122693,"ð¬ĬĪ":122694,"æ¶į":122695,"浡":122696,"æµŃ":122697,"浬":122698,"æ¶Ħ":122699,"涢":122700,"æ¶IJ":122701,"æµ°":122702,"æµŁ":122703,"æµĽ":122704,"æµ¼":122705,"æµ²":122706,"æ¶ĺ":122707,"æĤĪ":122708,"æĤĥ":122709,"æĤ¢":122710,"ð¬ĴĪ":122711,"宧":122712,"çªħ":122713,"çªĬ":122714,"çªİ":122715,"æīħ":122716,"æīĨ":122717,"袪":122718,"è¢Ĺ":122719,"袯":122720,"祧":122721,"éļº":122722,"åł²":122723,"çĸį":122724,"ð¨º":122725,"ð¨ºĻ":122726,"éĻ´":122727,"çĥĿ":122728,"çł®":122729,"ãĽļ":122730,"åĵ¿":122731,"ç¿Ģ":122732,"ç¿Ĥ":122733,"åīŁ":122734,"𬳿":122735,"ð«Ħ¨":122736,"绤":122737,"éªį":122738,"ð¬ĺ«":122739,"äĤ":122740,"äĤ®":122741,"çIJİ":122742,"çı¸":122743,"çıµ":122744,"çIJĦ":122745,"çIJĪ":122746,"çIJĢ":122747,"çıº":122748,"æİŃ":122749,"åłİ":122750,"åłIJ":122751,"åŁ¼":122752,"æİİ":122753,"åŁ«":122754,"åłĮ":122755,"æĻ¢":122756,"ð«®":122757,"ð«®ĥ":122758,"æİŀ":122759,"åŁª":122760,"壸":122761,"ãĻį":122762,"èģį":122763,"èıĿ":122764,"èIJļ":122765,"èı¥":122766,"èİ¿":122767,"äĵ«":122768,"åĭļ":122769,"äĵ¬":122770,"èIJĨ":122771,"èıĤ":122772,"èıį":122773,"èı¼":122774,"èIJ£":122775,"äĵ¨":122776,"èıī":122777,"äĵĽ":122778,"梼":122779,"梽":122780,"桲":122781,"梾":122782,"桯":122783,"梣":122784,"æ¢Į":122785,"桹":122786,"æķĶ":122787,"åİ£":122788,"ç¡Ķ":122789,"é¿İ":122790,"ç¡Ļ":122791,"ç¡ļ":122792,"ç¡Ĭ":122793,"ç¡į":122794,"åĭĶ":122795,"ä´ķ":122796,"é¾ģ":122797,"éĢ´":122798,"åĶª":122799,"åķ«":122800,"ç¿Ī":122801,"ã«":122802,"ã«°":122803,"æĻĻ":122804,"çķ¤":122805,"ð¬±ĸ":122806,"趼":122807,"è·Ĥ":122808,"èĽĥ":122809,"èļ²":122810,"ð¬Ł½":122811,"èļº":122812,"åķ´":122813,"äİĥ":122814,"å´§":122815,"å´Ł":122816,"å´ŀ":122817,"å´Ĵ":122818,"å´Į":122819,"å´¡":122820,"éĵı":122821,"ð«ĵ¯":122822,"ð«Ł¹":122823,"éĵķ":122824,"ð«Ł¼":122825,"éĵĸ":122826,"éĵĺ":122827,"éĵļ":122828,"éĵŀ":122829,"éĵ¥":122830,"éĵ´":122831,"çī»":122832,"çī¿":122833,"ç¨Ĩ":122834,"笱":122835,"笯":122836,"åģ°":122837,"åģ¡":122838,"鸺":122839,"åģŃ":122840,"åģ²":122841,"åģģ":122842,"ã¿":122843,"ã¿ł":122844,"éĦħ":122845,"åģĵ":122846,"å¾Ľ":122847,"è¡Ĵ":122848,"èĪ³":122849,"èĪ²":122850,"鸼":122851,"æĤĨ":122852,"éĦĥ":122853,"çĵ»":122854,"äĿ":122855,"äĿĻ":122856,"èĦ¶":122857,"èĦŀ":122858,"èĦŁ":122859,"äı²":122860,"é±¾":122861,"çĮĩ":122862,"çĮĬ":122863,"çĮĦ":122864,"è§ĸ":122865,"ðłħ":122866,"ðłħ¤":122867,"庱":122868,"庼":122869,"庳":122870,"çĹĵ":122871,"ä´Ķ":122872,"ç««":122873,"åłĥ":122874,"éĺĮ":122875,"ç¾Ŀ":122876,"ç¾ķ":122877,"çĦĨ":122878,"çĥº":122879,"çĦĮ":122880,"æ·ı":122881,"ð¬ĩ¹":122882,"æ·Ł":122883,"æ·ľ":122884,"æ·´":122885,"æ·¯":122886,"æ¹´":122887,"涴":122888,"ð¬į¡":122889,"ã¥":122890,"ã¥Ħ":122891,"æĥĽ":122892,"æĥĶ":122893,"æĤ°":122894,"æĥĻ":122895,"å¯ģ":122896,"éĢŃ":122897,"ð¬¤ĩ":122898,"ð«į¯":122899,"袼":122900,"è£Ī":122901,"祲":122902,"ð¬¤Ĭ":122903,"ð«į²":122904,"è°ŀ":122905,"èī´":122906,"弸":122907,"弶":122908,"ð¬¯İ":122909,"éļĥ":122910,"å©ŀ":122911,"娵":122912,"婼":122913,"åªĸ":122914,"婳":122915,"å©į":122916,"å©Į":122917,"å©«":122918,"婤":122919,"å©ĺ":122920,"å©ł":122921,"ð¬ĺ¬":122922,"ð¬ĺŃ":122923,"ð¬´Ĥ":122924,"ð«ĺ¦":122925,"绹":122926,"ð«Łħ":122927,"ð¬ĺ¯":122928,"éªķ":122929,"ð«ĺ§":122930,"絾":122931,"çı·":122932,"çIJ²":122933,"çIJ¡":122934,"çIJŁ":122935,"çIJĶ":122936,"çIJŃ":122937,"åł¾":122938,"åł¼":122939,"æıķ":122940,"ãĻĺ":122941,"åł§":122942,"åĸĨ":122943,"åł¨":122944,"å¡ħ":122945,"åłł":122946,"çµ·":122947,"ðª£":122948,"𪣻":122949,"ð¡İ":122950,"ð¡İļ":122951,"èijľ":122952,"æĥİ":122953,"èIJ³":122954,"èijĻ":122955,"éĿ¬":122956,"èij´":122957,"èĴĩ":122958,"èĴĪ":122959,"éĦļ":122960,"èĴī":122961,"èĵĩ":122962,"èIJ©":122963,"èij°":122964,"èijİ":122965,"éĦij":122966,"èĴİ":122967,"èijĸ":122968,"èĴĦ":122969,"èIJ¹":122970,"棤":122971,"棽":122972,"棫":122973,"æ¤ĵ":122974,"æ¤ij":122975,"ð¬ĥ":122976,"ð¬ĥĬ":122977,"é¹Ģ":122978,"æ¤Ĩ":122979,"æ£ĵ":122980,"棬":122981,"棪":122982,"æ¤Ģ":122983,"æ¥Ĺ":122984,"ð¬·":122985,"ð¬·ķ":122986,"çĶ¦":122987,"éħ¦":122988,"è§Į":122989,"奡":122990,"çļķ":122991,"硪":122992,"欹":122993,"è©Ł":122994,"ð«IJIJ":122995,"è¾Į":122996,"æ£IJ":122997,"é¾Ĥ":122998,"ð¬¹":122999,"𬹼":123000,"黹":123001,"çīļ":123002,"çĿİ":123003,"æĻ«":123004,"æĻª":123005,"æĻ±":123006,"ð§":123007,"ð§¿":123008,"𧿹":123009,"èĽij":123010,"çķ¯":123011,"æĸĿ":123012,"åĸ¤":123013,"å´¶":123014,"åµģ":123015,"ð«¶":123016,"ð«¶ĩ":123017,"å´¾":123018,"åµħ":123019,"å´¿":123020,"åµļ":123021,"ç¿Ļ":123022,"ð«ĸ®":123023,"åľĮ":123024,"åľIJ":123025,"èµij":123026,"èµĴ":123027,"é¿ı":123028,"éĵ¹":123029,"ð¬ŃĬ":123030,"éĵ½":123031,"ð¨±ĩ":123032,"ð«ĵ¶":123033,"éĶĬ":123034,"éĶį":123035,"éĶİ":123036,"ð¬Ńİ":123037,"éĶĵ":123038,"çĬĩ":123039,"é¢ĭ":123040,"ç¨Į":123041,"çŃĢ":123042,"çŃĺ":123043,"çŃľ":123044,"çŃ¥":123045,"çŃħ":123046,"åĤĥ":123047,"åĤī":123048,"ç¿Ľ":123049,"åĤĴ":123050,"åĤķ":123051,"èĪ¾":123052,"çķ¬":123053,"ð«ĸ¯":123054,"èĦ¿":123055,"èħĺ":123056,"äIJ":123057,"äIJĥ":123058,"èħĻ":123059,"èħĴ":123060,"ð¬±Ł":123061,"é²ĥ":123062,"çĮ°":123063,"ð«Ľ":123064,"ð«ĽŃ":123065,"çĮ¯":123066,"ãº":123067,"ãºĦ":123068,"é¦ī":123069,"åĩĵ":123070,"éĦĹ":123071,"ð«·":123072,"ð«··":123073,"å»ĭ":123074,"å»Ĩ":123075,"éĦĮ":123076,"ç²¢":123077,"éģĨ":123078,"æĹIJ":123079,"𬮱":123080,"çĦŀ":123081,"ð¬Ĭ¤":123082,"欻":123083,"ð£¸":123084,"𣸣":123085,"æºļ":123086,"æºģ":123087,"æ¹Ŀ":123088,"渰":123089,"æ¹ĵ":123090,"ã´":123091,"ã´Ķ":123092,"æ¸Ł":123093,"æºł":123094,"渼":123095,"æºĩ":123096,"æ¹£":123097,"æ¹ij":123098,"æºŀ":123099,"æĦIJ":123100,"æĦĥ":123101,"æķ©":123102,"çĶ¯":123103,"棨":123104,"æīĬ":123105,"裣":123106,"祼":123107,"å©»":123108,"åªĨ":123109,"åªŀ":123110,"ãĽ¹":123111,"åªĵ":123112,"åªĤ":123113,"åªĦ":123114,"毵":123115,"çŁŀ":123116,"ð¬´ĥ":123117,"ð«ĺ¨":123118,"ç¼Ĭ":123119,"ç¼IJ":123120,"éªĻ":123121,"çijĥ":123122,"çijĵ":123123,"çijħ":123124,"çijĨ":123125,"ä´ĸ":123126,"çijĸ":123127,"çijĿ":123128,"çijĶ":123129,"çijĢ":123130,"ð¤§":123131,"ð¤§Ľ":123132,"çij³":123133,"çijĤ":123134,"å¶ħ":123135,"çijij":123136,"éģĺ":123137,"é«¢":123138,"å¡¥":123139,"åł½":123140,"赪":123141,"æijĽ":123142,"å¡Ŀ":123143,"æIJĴ":123144,"æIJĮ":123145,"èĴ±":123146,"èĴ¨":123147,"èĵı":123148,"èĶĢ":123149,"èĵ¢":123150,"èĵĤ":123151,"èĴ»":123152,"èĵ£":123153,"椹":123154,"楪":123155,"æ¦ĥ":123156,"æ¦ħ":123157,"æ¥Ĵ":123158,"楩":123159,"æ¦ĩ":123160,"椸":123161,"æ¥Ļ":123162,"æŃħ":123163,"ð¬ª":123164,"𬪩":123165,"ç¢ĥ":123166,"ç¢ı":123167,"ð¬ĴĶ":123168,"ç¢Ī":123169,"äĥħ":123170,"ç¡¿":123171,"éĦł":123172,"è¾Ĵ":123173,"ð¬¨İ":123174,"ð«IJĵ":123175,"é¾Ĩ":123176,"è§ľ":123177,"ä£":123178,"ä£ĺ":123179,"æļķ":123180,"é¹į":123181,"ð««":123182,"ð««ĩ":123183,"ã¬Ĭ":123184,"æļħ":123185,"è·±":123186,"èľIJ":123187,"èľİ":123188,"åµ²":123189,"èµĹ":123190,"骱":123191,"éĶĸ":123192,"ð«ĵ¹":123193,"éĶĺ":123194,"éĶ³":123195,"éĶ§":123196,"éĶª":123197,"ð¬Ńļ":123198,"éĶ«":123199,"éĶ¬":123200,"ð¬ŃĽ":123201,"ç¨ij":123202,"ç¨Ļ":123203,"äħ":123204,"äħŁ":123205,"ð¬ķ":123206,"ð¬ķĤ":123207,"çŃ»":123208,"çŃ¼":123209,"çѶ":123210,"çѦ":123211,"çѤ":123212,"åĤº":123213,"é¹İ":123214,"åĥĩ":123215,"èīħ":123216,"èīī":123217,"è°¼":123218,"è²Ĩ":123219,"èħ½":123220,"èħ¨":123221,"èħ¯":123222,"é²ī":123223,"é²Ĭ":123224,"é²Į":123225,"ä²Ł":123226,"ð¬¶ĭ":123227,"ð¬¶į":123228,"é²ı":123229,"éĽĬ":123230,"çĮº":123231,"é£Ķ":123232,"è§Ł":123233,"ð¦Ŀ¼":123234,"é¦Į":123235,"è£Ľ":123236,"å»Ĵ":123237,"çĺħ":123238,"éĦĺ":123239,"é¹Ĵ":123240,"éĦľ":123241,"éºĢ":123242,"éĦ£":123243,"éĺĺ":123244,"ð«Ķ¶":123245,"çħģ":123246,"çħĥ":123247,"çħ´":123248,"çħĭ":123249,"çħŁ":123250,"çħĵ":123251,"æ»ł":123252,"æºį":123253,"溹":123254,"æ»Ĩ":123255,"æ»ī":123256,"溦":123257,"溵":123258,"æ¼·":123259,"滧":123260,"æ»ĺ":123261,"æ»į":123262,"æĦŃ":123263,"æħ¥":123264,"æħĨ":123265,"塱":123266,"ð«ĮĢ":123267,"裼":123268,"ç¦ĭ":123269,"ç¦Ķ":123270,"ç¦ĺ":123271,"ç¦Ĵ":123272,"è°«":123273,"é¹Ķ":123274,"ð«ĸ³":123275,"æĦį":123276,"å«Ħ":123277,"媱":123278,"æĪ¤":123279,"åĭł":123280,"æĪ£":123281,"ð«ĺª":123282,"ð«ĺ¬":123283,"ç¼ŀ":123284,"èĢ¤":123285,"çij§":123286,"ð«ŀ":123287,"ð«ŀ©":123288,"çij¨":123289,"çij±":123290,"çij·":123291,"çij¢":123292,"æĸł":123293,"æijı":123294,"å¢ķ":123295,"å¢Ī":123296,"å¢IJ":123297,"å¢ĺ":123298,"æij´":123299,"éĬİ":123300,"ð¡IJ":123301,"ð¡IJĵ":123302,"å¢ļ":123303,"æĴĸ":123304,"ðª¤":123305,"ðª¤Ĺ":123306,"éĿ½":123307,"éŀģ":123308,"èĶĮ":123309,"èĶĪ":123310,"èĵ°":123311,"èĶ¹":123312,"èĶĬ":123313,"åĺı":123314,"榰":123315,"æ¦ij":123316,"æ§ļ":123317,"ð£Ĺ":123318,"ð£Ĺĭ":123319,"æ§ľ":123320,"æ¦į":123321,"çĸIJ":123322,"ð¬¸ĺ":123323,"éħº":123324,"éħ¾":123325,"éħ²":123326,"éħ´":123327,"碶":123328,"äĥİ":123329,"ð¬ĴĹ":123330,"碨":123331,"ð¥Ķ":123332,"ð¥Ķ²":123333,"碹":123334,"碥":123335,"åĬĤ":123336,"ð«ļĸ":123337,"ä´Ĺ":123338,"夥":123339,"çŀį":123340,"é¹ĸ":123341,"ã¬İ":123342,"è·½":123343,"èľ¾":123344,"å¹ĸ":123345,"å¶į":123346,"åľĻ":123347,"ð¨±ı":123348,"éĶº":123349,"éĶ¼":123350,"éĶ½":123351,"ð¬Ń¤":123352,"éĶ¾":123353,"éĶ¿":123354,"éķĥ":123355,"éķĦ":123356,"éķħ":123357,"é¦Ŀ":123358,"é¹Ļ":123359,"箨":123360,"ç®ĸ":123361,"åĬĦ":123362,"åĥ¬":123363,"åĥ¦":123364,"åĥĶ":123365,"åĥİ":123366,"æ§ĥ":123367,"ãĻ¦":123368,"é²Ĵ":123369,"é²ķ":123370,"ð«ļķ":123371,"é²ĸ":123372,"é²Ĺ":123373,"é²ĺ":123374,"é²Ļ":123375,"ð¬¶IJ":123376,"ð¬¶ı":123377,"ð©½":123378,"𩽾":123379,"å¤IJ":123380,"çįį":123381,"é£Ĺ":123382,"ð¬¸ļ":123383,"åĩĺ":123384,"å»ij":123385,"å»Ļ":123386,"çĺĹ":123387,"çĺ¥":123388,"çĺķ":123389,"é²Ŀ":123390,"éĦ«":123391,"çĨĩ":123392,"æ¼¹":123393,"æ¼ĸ":123394,"æ½Ĩ":123395,"漤":123396,"潩":123397,"æ¼¼":123398,"æ¼´":123399,"ã½":123400,"ã½ı":123401,"æ¼Ī":123402,"æ¼ĭ":123403,"æ¼»":123404,"æħ¬":123405,"窬":123406,"çªŃ":123407,"ã®":123408,"㮾":123409,"ð¬¤Ŀ":123410,"è¤ķ":123411,"禼":123412,"ç¦ļ":123413,"éļ©":123414,"å«ķ":123415,"å«Ń":123416,"å«ľ":123417,"嫪":123418,"ð¬ĻĤ":123419,"ã»":123420,"㻬":123421,"麹":123422,"çĴĨ":123423,"漦":123424,"åıĩ":123425,"墣":123426,"墦":123427,"墡":123428,"åĬIJ":123429,"èĸģ":123430,"èķ°":123431,"èĶĥ":123432,"é¼Ĵ":123433,"槱":123434,"é¹Ŀ":123435,"ç£ı":123436,"ç£ī":123437,"殣":123438,"æħŃ":123439,"éľħ":123440,"æļµ":123441,"æļ²":123442,"æļ¶":123443,"踦":123444,"踣":123445,"äĹĸ":123446,"èĿĺ":123447,"èĿ²":123448,"èĿ¤":123449,"åĻĩ":123450,"åĻĤ":123451,"åĻĢ":123452,"罶":123453,"嶲":123454,"å¶ĵ":123455,"ãłĩ":123456,"å¶Ł":123457,"å¶Ĵ":123458,"éķĨ":123459,"éķĪ":123460,"éķĭ":123461,"éķİ":123462,"ð¬Ń©":123463,"éķķ":123464,"稹":123465,"åĦĩ":123466,"çļŀ":123467,"çļĽ":123468,"ä´ĺ":123469,"èīİ":123470,"èīı":123471,"é¹Ł":123472,"ð©¾ĥ":123473,"鲦":123474,"鲪":123475,"鲬":123476,"æ©¥":123477,"è§Ń":123478,"é¹ł":123479,"鹡":123480,"ç³ĩ":123481,"ç³Ī":123482,"翦":123483,"é¹¢":123484,"é¹£":123485,"çĨĽ":123486,"æ½ĸ":123487,"æ½µ":123488,"ãµ":123489,"ãµIJ":123490,"æ¾Ĥ":123491,"æ¾Ľ":123492,"çij¬":123493,"æ½½":123494,"æ½¾":123495,"æ½ı":123496,"æĨŃ":123497,"æĨķ":123498,"𬸣":123499,"æĪŃ":123500,"褯":123501,"禤":123502,"ð«į½":123503,"嫽":123504,"éģ¹":123505,"ð¬´Ĭ":123506,"çĴ¥":123507,"çĴ²":123508,"çĴĴ":123509,"æĨĻ":123510,"æĵIJ":123511,"éĦ¹":123512,"èĸ³":123513,"éŀĶ":123514,"é»ĩ":123515,"ð¬ŀ":123516,"ð¬ŀŁ":123517,"èķĹ":123518,"èĸ¢":123519,"èķ¹":123520,"æ©ŀ":123521,"æ©ij":123522,"橦":123523,"éĨij":123524,"觱":123525,"磡":123526,"ð¥ķ":123527,"ð¥ķ¢":123528,"ç£ľ":123529,"è±®":123530,"ð«Ł¦":123531,"ð¬ºĪ":123532,"ð«łľ":123533,"é¹¾":123534,"èĻ¤":123535,"æļ¿":123536,"æĽĮ":123537,"æĽĪ":123538,"ã¬ļ":123539,"è¹ħ":123540,"踶":123541,"äĹĽ":123542,"èŀĹ":123543,"çĸģ":123544,"ãłĵ":123545,"幪":123546,"ðª©":123547,"ðª©ĺ":123548,"嶦":123549,"ð¬Ń¬":123550,"ð¨±ij":123551,"ð¬Ń¯":123552,"é¦ŀ":123553,"ç©Ħ":123554,"ç¯ļ":123555,"篯":123556,"ç°ī":123557,"é¼½":123558,"è¡ł":123559,"缦":123560,"èŀ£":123561,"縢":123562,"é²Ń":123563,"鲯":123564,"é²°":123565,"鲺":123566,"é²¹":123567,"ð«Ĺ´":123568,"亸":123569,"çĻĢ":123570,"çĺŃ":123571,"𬸦":123572,"ç¾±":123573,"ç³Ĵ":123574,"çĩĭ":123575,"çĨ»":123576,"çĩĬ":123577,"çĩļ":123578,"çĩı":123579,"æ¿©":123580,"æ¿ĭ":123581,"澪":123582,"æ¾½":123583,"æ¾´":123584,"æ¾Ń":123585,"æ¾¼":123586,"æĨ·":123587,"æĨº":123588,"æĩĶ":123589,"é»ī":123590,"å¬Ľ":123591,"鹨":123592,"翯":123593,"ð«Ħ·":123594,"çĴ±":123595,"𤩽":123596,"çĴ¬":123597,"çĴ®":123598,"髽":123599,"æĵ¿":123600,"èĸ¿":123601,"èĸ¸":123602,"æªij":123603,"æ«Ĩ":123604,"æªŀ":123605,"éĨ¨":123606,"ç¹Ħ":123607,"磹":123608,"磻":123609,"çŀ«":123610,"çŀµ":123611,"è¹IJ":123612,"èŁı":123613,"ãĺ":123614,"ãĺİ":123615,"ð¬Ń³":123616,"éķ¤":123617,"ð¬Ń¶":123618,"ð«Ķį":123619,"éķ¥":123620,"éķ¨":123621,"ð¬Ń¸":123622,"ð¨±Ķ":123623,"ð¬Ń¼":123624,"ð«Ķİ":123625,"磰":123626,"ç©Ļ":123627,"ç©ľ":123628,"ç©Ł":123629,"ç°ķ":123630,"ç°ĥ":123631,"ç°ı":123632,"åĦ¦":123633,"éŃĭ":123634,"æĸ¶":123635,"èīļ":123636,"𬸪":123637,"è°¿":123638,"ä²ł":123639,"ð¬¶Ł":123640,"é²¾":123641,"ð¬¶ł":123642,"鲿":123643,"é³ģ":123644,"é³Ĥ":123645,"é³Ī":123646,"é³ī":123647,"çį¯":123648,"äĹª":123649,"é¦ĺ":123650,"è¥ķ":123651,"è¥ļ":123652,"𬶨":123653,"èŀ±":123654,"çĶĵ":123655,"嬬":123656,"嬥":123657,"ð¦Ī":123658,"ð¦Ī¡":123659,"ð«Ħ¸":123660,"çĵĢ":123661,"éĩIJ":123662,"鬶":123663,"çĪĩ":123664,"éŀ³":123665,"éŀ®":123666,"ð¬Łģ":123667,"èĹŁ":123668,"èŦ":123669,"èŨ":123670,"é¹²":123671,"檫":123672,"黡":123673,"ç¤ŀ":123674,"ç¤Į":123675,"ð¥ĸ":123676,"ð¥ĸ¨":123677,"è¹¢":123678,"è¹ľ":123679,"èŁ«":123680,"äĹ´":123681,"åļļ":123682,"é«ĥ":123683,"éķ®":123684,"éķ±":123685,"éħĤ":123686,"馧":123687,"ç°ł":123688,"ç°Ŀ":123689,"ç°°":123690,"鼫":123691,"鼩":123692,"çļ¦":123693,"èĩij":123694,"ä²¢":123695,"é³ij":123696,"é³Ĵ":123697,"é¹±":123698,"鹯":123699,"çĻĹ":123700,"ð¦Ĵ":123701,"ð¦Ĵį":123702,"æĹŀ":123703,"ç¿·":123704,"åĨģ":123705,"äİĸ":123706,"çĢĶ":123707,"çĢį":123708,"çĢĮ":123709,"è¥ľ":123710,"ä´Ļ":123711,"ð¬ĻĬ":123712,"åļŃ":123713,"ã°":123714,"ã°Ģ":123715,"鬷":123716,"éĨŃ":123717,"蹯":123718,"èłĭ":123719,"翾":123720,"é³ĺ":123721,"åĦ³":123722,"åĦ´":123723,"é¼Ĺ":123724,"ð¬¶Ń":123725,"ð©¾Į":123726,"é³ļ":123727,"é³Ľ":123728,"éºij":123729,"éºĸ":123730,"èłĥ":123731,"å½Ł":123732,"嬿":123733,"é¬Ĵ":123734,"èĺĺ":123735,"æ¬Ĥ":123736,"éĨµ":123737,"颥":123738,"çĶĹ":123739,"ð¨Ł":123740,"ð¨Łł":123741,"å·ĩ":123742,"éħħ":123743,"é«İ":123744,"çĬ¨":123745,"𬶮":123746,"ð¨Ń":123747,"ð¨Ńī":123748,"ã¸Į":123749,"çĪĶ":123750,"çĢ±":123751,"çĢ¹":123752,"çĢ¼":123753,"çĢµ":123754,"襫":123755,"åŃħ":123756,"骦":123757,"ð¬Ļĭ":123758,"èĢ°":123759,"ð¤«":123760,"ð¤«ī":123761,"çĵĸ":123762,"é¬ĺ":123763,"趯":123764,"ð¬ºĵ":123765,"ç½į":123766,"é¼±":123767,"é³ł":123768,"鳡":123769,"é³£":123770,"çĪŁ":123771,"çĪļ":123772,"çģĪ":123773,"éŁĤ":123774,"ç³µ":123775,"èĺ¼":123776,"礵":123777,"é¹´":123778,"èºĶ":123779,"çļŃ":123780,"é¾¢":123781,"鳤":123782,"亹":123783,"ç±¥":123784,"é¼·":123785,"ð«ļŃ":123786,"çİĥ":123787,"éĨ¾":123788,"é½ĩ":123789,"觿":123790,"èł¼":123791,"ק":123792,"פ":123793,"׼":123794,"×ķת":123795,"ס":123796,"×Ļ×Ŀ":123797,"צ":123798,"×Ĵ":123799,"×ĺ":123800,"×ķר":123801,"×Ŀ":123802,"×ķ׾":123803,"×ĸ":123804,"à¹Ĥ":123805,"ïº":123806,"ðŁį":123807,"ðŁIJ":123808,"×Ļר":123809,"ï»":123810,"ðŁij":123811,"ðĿIJ":123812,"ðŁı":123813,"ðŁĶ":123814,"ðŁĮ":123815,"ðŁİ":123816,"ðŁĵ":123817,"ף":123818,"ðĿij":123819,"×ķ×ĵ":123820,"ï¦":123821,"Ġ×ķ":123822,"×ķ×ij":123823,"à¸Ńà¸ĩ":123824,"ðĿĺ":123825,"×Ļת":123826,"ðĿķ":123827,"à¸Ĺีà¹Ī":123828,"ائ":123829,"ðŁ¤":123830,"×ķף":123831,"رÙĬ":123832,"×Ļ׾":123833,"ระ":123834,"าย":123835,"ï¯":123836,"ï®":123837,"าม":123838,"âĩ":123839,"ðŁ¥":123840,"ïŃ":123841,"ðĿĻ":123842,"×ķ׳":123843,"á½":123844,"Ġ׼":123845,"ðŁļ":123846,"âļ":123847,"ï§":123848,"×ijר":123849,"×Ļ׳":123850,"á´":123851,"Ġ×Ĺ":123852,"á¼":123853,"ðĿĹ":123854,"Ġ×¢":123855,"×Ļ×Ķ":123856,"ãģ£ãģŁ":123857,"ãģĵãģ¨":123858,"á¸":123859,"ÙĬÙĨ":123860,"ãģªãģĦ":123861,"اع":123862,"ศ":123863,"à¹Īà¸ĩ":123864,"×Ļ×ĵ":123865,"×ŀש":123866,"áĪ":123867,"׳×Ļ":123868,"×Ļ×ij":123869,"ï¥":123870,"ðĿĵ":123871,"Ġ×Ļ":123872,"×ļ":123873,"ัà¸ĩ":123874,"âĵ":123875,"ï¤":123876,"ĠاÙĦØ£":123877,"าà¸ģ":123878,"à¹īà¸Ļ":123879,"à¹Ģร":123880,"×ķ×Ŀ":123881,"á¹":123882,"ึ":123883,"×Ļק":123884,"à¸ĭ":123885,"à¸Ħร":123886,"à¸ĺ":123887,"ัà¸ģ":123888,"ðŁķ":123889,"ÙĪÙĨ":123890,"à¸Ńย":123891,"âĬ":123892,"ðĿĴ":123893,"ĠاÙĦع":123894,"าà¸Ļ":123895,"×Ļף":123896,"ÙĦÙĬ":123897,"×Ļש":123898,"à¸Ľà¸£à¸°":123899,"à¹Ģà¸Ľ":123900,"Ġ׳":123901,"×ķס":123902,"à¸ł":123903,"ÙħÙĨ":123904,"×ķ×¢":123905,"×ķ×ŀ":123906,"âĮ":123907,"ðŁ§":123908,"à¹ĩà¸Ļ":123909,"à¸į":123910,"ãİ":123911,"áµ":123912,"ĠاÙĦس":123913,"×ķק":123914,"หล":123915,"ðŁĩ":123916,"âı":123917,"ðŁ¦":123918,"Ġ×Ķ×ŀ":123919,"ÙĪا":123920,"Ġת":123921,"ר×IJ":123922,"à¸Ńà¸Ļ":123923,"ษ":123924,"à¹Īว":123925,"×ķצ":123926,"íĹ":123927,"ãĦ":123928,"ï¨":123929,"ï¹":123930,"âİ":123931,"ï²":123932,"ðĿļ":123933,"ðIJ":123934,"à¸Ħว":123935,"หà¸Ļ":123936,"Ġר":123937,"بÙĬ":123938,"รà¹Į":123939,"را":123940,"شر":123941,"×ķ×Ĺ":123942,"×ķפ":123943,"×ķש":123944,"×ķ×Ĵ":123945,"íĿ":123946,"âĽ":123947,"à¸ķิ":123948,"à¹Ģà¸ģ":123949,"ï³":123950,"ï±":123951,"à¸Ķà¹ī":123952,"ë¹":123953,"ï¬":123954,"á¿":123955,"ðŁĽ":123956,"ðĿĸ":123957,"à¹Īาà¸ĩ":123958,"ูà¹ī":123959,"Ġ×Ķ×IJ":123960,"ĠاÙĦØŃ":123961,"פר":123962,"ÙĪÙħ":123963,"à¹Ģล":123964,"íĸ":123965,"×Ļ×¢":123966,"ìĪ":123967,"íĵ":123968,"ðŁħ":123969,"áł":123970,"à¸Ħวาม":123971,"à¸Īะ":123972,"׳×Ķ":123973,"Ġק":123974,"à¸Ł":123975,"à¹īà¸ĩ":123976,"หม":123977,"تÙħ":123978,"׾×Ļ":123979,"ÙĬد":123980,"à¹Īà¸Ļ":123981,"×Ĺר":123982,"שר":123983,"à¹Ģà¸Ĺ":123984,"×ŀר":123985,"ëĸ":123986,"عÙĦ":123987,"×ŀ×¢":123988,"â²":123989,"׾×Ķ":123990,"Ġפ":123991,"à¸Ńà¸ģ":123992,"سÙĦ":123993,"×Ļ×ŀ":123994,"ÙĤÙĬ":123995,"íİ":123996,"تØŃ":123997,"×Ļס":123998,"×Ļ×Ĺ":123999,"íĽ":124000,"ï°":124001,"â½":124002,"áī":124003,"áĬ":124004,"á¨":124005,"Ùĩا":124006,"Ġ׾×Ķ":124007,"×ķ×IJ":124008,"Ùħا":124009,"à¹īà¸Ńà¸ĩ":124010,"رب":124011,"ĠاÙĦج":124012,"×ŀ×ĵ":124013,"ÙħÙĦ":124014,"تر":124015,"à¹Ģà¸Ķ":124016,"קר":124017,"íħ":124018,"ì¼":124019,"ê¿":124020,"ãĪ":124021,"áIJ":124022,"ðŁĹ":124023,"ê¦":124024,"áĭ":124025,"ðĿĶ":124026,"à¹Ģà¸Ľà¹ĩà¸Ļ":124027,"à¹ĥห":124028,"มา":124029,"วà¹Īา":124030,"มี":124031,"ีà¹ī":124032,"à¹Ħมà¹Ī":124033,"ÙĨÙĬ":124034,"ؤ":124035,"รา":124036,"×ķ×Ļ":124037,"ãĤĪãģĨ":124038,"ิà¸Ķ":124039,"×Ļפ":124040,"×Ĺ׾":124041,"ÙĤد":124042,"à¹Ģส":124043,"×Ļ×ĺ":124044,"à¸ģล":124045,"ר׼":124046,"×ķ׼":124047,"×Ļ׼":124048,"ëĪ":124049,"ëĥ":124050,"ðŁĸ":124051,"áħ":124052,"â¼":124053,"ãī":124054,"à¹Ħà¸Ķà¹ī":124055,"ת×Ļ":124056,"×Ļ×IJ":124057,"ĠاÙĦØ¥":124058,"à¸łà¸²":124059,"ริ":124060,"ÙĤØ©":124061,"ØŃد":124062,"ê»":124063,"ì±":124064,"ת×Ĺ":124065,"ìº":124066,"âĭ":124067,"áĦ":124068,"á¾":124069,"âµ":124070,"â¾":124071,"ĠÙĪاÙĦ":124072,"׳×ķ":124073,"ÙĢ":124074,"ÙĬا":124075,"à¸ģà¹ĩ":124076,"×ŀ×Ķ":124077,"ãģĦãĤĭ":124078,"عد":124079,"ĠاÙĦÙĨ":124080,"Ġ×Ķש":124081,"ئ":124082,"ัà¹īà¸ĩ":124083,"รัà¸ļ":124084,"ÙĪÙĤ":124085,"ãģ§ãģį":124086,"à¹Ģà¸ŀ":124087,"׼׾":124088,"×ĺר":124089,"ัà¸Ķ":124090,"à¸Ńา":124091,"ì¢":124092,"à¸Ńà¸ļ":124093,"à¸ķร":124094,"à¹Ģà¸Ĭ":124095,"ìĶ":124096,"ãģĹãģ¾":124097,"ëģ":124098,"ëķ":124099,"ðŁĻ":124100,"âĴ":124101,"á¶":124102,"à¹ģล":124103,"ÙĨا":124104,"à¹ĥหà¹ī":124105,"à¹Ħà¸Ľ":124106,"×£":124107,"ัว":124108,"าà¸ĩ":124109,"×ĵר":124110,"×ij׾":124111,"פ×Ļ":124112,"Ġ×ĵ":124113,"ĠاÙĦÙģ":124114,"à¹Ģà¸Ĥ":124115,"ש×Ķ":124116,"×IJר":124117,"ë¬":124118,"ãģ«ãģª":124119,"ÑĢо":124120,"วิ":124121,"Ùħر":124122,"×IJת":124123,"Ùĥر":124124,"سب":124125,"ÙĨت":124126,"ãģĹãģĦ":124127,"اج":124128,"à¸Ńรà¹Į":124129,"ÙĥÙĦ":124130,"سÙħ":124131,"สิ":124132,"×Ļצ":124133,"ëĿ":124134,"íľ":124135,"ìī":124136,"áĨ":124137,"ÙĩÙħ":124138,"à¸Ļีà¹ī":124139,"ãģĤãĤĭ":124140,"ãģĦãģ¦":124141,"سÙĬ":124142,"׾×IJ":124143,"در":124144,"ãģļ":124145,"ÙĪج":124146,"ĠاÙĦØ®":124147,"صر":124148,"íı":124149,"à¹īาà¸ĩ":124150,"ุà¸Ķ":124151,"×ķ×ĺ":124152,"×ij×¢":124153,"íĨ":124154,"à¸Ĭา":124155,"รม":124156,"ש×ŀ":124157,"×ŀס":124158,"ê´":124159,"ì´":124160,"ëľ":124161,"ì¿":124162,"ì©":124163,"ë»":124164,"â¤":124165,"ðŁĨ":124166,"áĮ":124167,"áķ":124168,"ذا":124169,"à¸Ĺำ":124170,"à¸ķà¹Ī":124171,"ĠاÙĦÙĤ":124172,"ÙĦÙĥ":124173,"ูà¹Ī":124174,"à¸Ħุ":124175,"ÙĬÙħ":124176,"׳×Ļ×Ŀ":124177,"ืà¹Īà¸Ń":124178,"ÙĪع":124179,"ãĤĩ":124180,"اÙĤ":124181,"Ġ×ij×¢":124182,"à¹Ģม":124183,"جÙħ":124184,"ừ":124185,"ãģĵãģ¨ãģĮ":124186,"بد":124187,"×ķ×Ķ":124188,"ש׾":124189,"Ùĩر":124190,"à¹Ģà¸Ļ":124191,"ãģ¹":124192,"íĭ":124193,"ì»":124194,"ì½":124195,"ëŃ":124196,"ìĮ":124197,"íĢ":124198,"ëĮ":124199,"ëº":124200,"ãĬ":124201,"à¹ĥà¸Ļ":124202,"Ġ×Ĵ":124203,"à¹Ĩ":124204,"à¸Īาà¸ģ":124205,"วย":124206,"à¹ĥà¸Ĭ":124207,"à¸ĩาà¸Ļ":124208,"ĠاÙĦØ´":124209,"اØŃ":124210,"à¹īาà¸Ļ":124211,"ืà¹Īà¸Ńà¸ĩ":124212,"×IJ×Ļ":124213,"بÙĦ":124214,"ãģ¨æĢĿ":124215,"×ł×¡":124216,"ãģ¾ãģĽ":124217,"ÙĥÙĨ":124218,"ער":124219,"ĠاÙĦد":124220,"שת":124221,"íŀ":124222,"Ùħس":124223,"صÙĦ":124224,"×ķ׳×Ķ":124225,"ارة":124226,"ÙĦÙħ":124227,"สม":124228,"Ø£ÙĨ":124229,"תר":124230,"×IJ×ŀ":124231,"عب":124232,"خت":124233,"ãĤĥ":124234,"ì¡":124235,"ì£":124236,"ива":124237,"สั":124238,"ึà¸ģ":124239,"ì¸":124240,"ëĨ":124241,"алÑĮн":124242,"ì³":124243,"ìį":124244,"ê¼":124245,"ê½":124246,"ìı":124247,"ãĮ":124248,"ãı":124249,"ï©":124250,"êª":124251,"áİ":124252,"Ġ×ĸ":124253,"à¸ģัà¸Ļ":124254,"×Ļ×ķ":124255,"à¸Ħà¸Ļ":124256,"׳×ķת":124257,"à¸ľà¸¹à¹ī":124258,"à¹ĥà¸Ī":124259,"ãģĦãģŁ":124260,"Ùģر":124261,"×ĺ×Ļ":124262,"צ×Ļ":124263,"ãĤĤãģ®":124264,"ĠاÙĦص":124265,"ãģ¾ãģĽãĤĵ":124266,"دة":124267,"×ij×Ļ":124268,"ĠاÙĦر":124269,"Ġ×ŀ×IJ":124270,"สำ":124271,"à¹Ģห":124272,"عر":124273,"ãģªãģı":124274,"à¸ģระ":124275,"×ij×ĵ":124276,"à¹Ģà¸Ī":124277,"×Ļ×ļ":124278,"×Ĺ×Ļ":124279,"ÙĬع":124280,"ש×ij":124281,"ÙĨØ©":124282,"ÙĪض":124283,"ÙĦÙģ":124284,"ÙĢÙĢ":124285,"פע":124286,"íĪ":124287,"×ŀק":124288,"à¸IJ":124289,"ØŃØ©":124290,"اص":124291,"Ñĭва":124292,"à¸Ħม":124293,"วั":124294,"à¸Ľà¸¥":124295,"ìŁ":124296,"íļ":124297,"ë´":124298,"ëij":124299,"ëī":124300,"ëĩ":124301,"ì¨":124302,"ë±":124303,"ëİ":124304,"â¬":124305,"á¥":124306,"áĹ":124307,"áĽ":124308,"áį":124309,"Å©":124310,"à¸Ķี":124311,"ôi":124312,"Ġס":124313,"׾×ķ":124314,"á»Ŀi":124315,"à¸Ħุà¸ĵ":124316,"ây":124317,"à¸Ļา":124318,"×Ĺ×ĵ":124319,"×ĵ×Ļ":124320,"หา":124321,"جÙĦ":124322,"à¹Ģว":124323,"ãĤĩãģĨ":124324,"ÙħØ©":124325,"ĠاÙĦÙĥ":124326,"Ġ×Ķ×¢":124327,"جر":124328,"×ĸר":124329,"اط":124330,"×Ľ×ª":124331,"×ķ׳×Ļ×Ŀ":124332,"ØŃÙħ":124333,"ê¶":124334,"رÙĥ":124335,"Ġ×ľ×¢":124336,"×ķ×ĸ":124337,"สร":124338,"צ׾":124339,"Ø¢":124340,"است":124341,"à¹Īม":124342,"خر":124343,"צע":124344,"×Ļר×ķת":124345,"ادة":124346,"شار":124347,"×ŀ×Ĺ":124348,"íĴ":124349,"à¹Ģรีย":124350,"×Ĺק":124351,"اث":124352,"รà¸ĩ":124353,"à¹Ģà¸ķ":124354,"à¸Īำ":124355,"à¸Ŀ":124356,"à¹Īาย":124357,"à¸Ħล":124358,"ÙĤÙĪ":124359,"иÑĩеÑģк":124360,"à¸ĵà¹Į":124361,"ัย":124362,"Ùħع":124363,"ë¨":124364,"ë¿":124365,"ë®":124366,"ï´":124367,"ì¥":124368,"ì«":124369,"ëµ":124370,"á¡":124371,"âį":124372,"ðĵ":124373,"â°":124374,"à¸Ĥà¸Ńà¸ĩ":124375,"Ùĭ":124376,"à¸ģัà¸ļ":124377,"ãģ®ãģ§":124378,"à¹īว":124379,"à¸Ńยà¹Īาà¸ĩ":124380,"ãģŃ":124381,"á»ĩt":124382,"à¸ķà¹īà¸Ńà¸ĩ":124383,"×ŀ×Ļ":124384,"à¹ģà¸ļ":124385,"×Ĵר":124386,"ÙĪÙģ":124387,"ÙĤÙĦ":124388,"à¸łà¸²à¸ŀ":124389,"ר×Ļ":124390,"ลา":124391,"ÙĬس":124392,"Ġצ":124393,"ÙĬÙģ":124394,"Ġ×ĺ":124395,"à¸ľà¸¥":124396,"áng":124397,"รว":124398,"Ġ×ŀש":124399,"×IJ×ķת":124400,"×ĸ×Ķ":124401,"ูà¸ģ":124402,"à¸Ļัà¸ģ":124403,"اÙĨÙĬ":124404,"دا":124405,"ãģ³":124406,"׼ף":124407,"ãĤīãĤĮ":124408,"ãĤĮãģ°":124409,"תק":124410,"úc":124411,"ÙĪز":124412,"×Ļר×Ķ":124413,"Ġngh":124414,"ánh":124415,"Ġ×ķ×IJ":124416,"á»ħ":124417,"สุà¸Ķ":124418,"ëį°":124419,"اض":124420,"اÙĦÙĬ":124421,"بار":124422,"عÙħ":124423,"à¸ļา":124424,"تج":124425,"à¸ŀร":124426,"×ķר×Ķ":124427,"ảng":124428,"Ø®ÙĦ":124429,"à¸ī":124430,"ắc":124431,"ש×Ļ×Ŀ":124432,"íĶ":124433,"Ùģس":124434,"×Ļ×Ĵ":124435,"пÑĢ":124436,"ĠاÙĦØ«":124437,"سط":124438,"รูà¹ī":124439,"ีà¹Īย":124440,"à¸Ńà¸Ķ":124441,"ãģªãĤĬ":124442,"×Ĵ×ĵ":124443,"ãģĦãģ¾ãģĹãģŁ":124444,"סק":124445,"خص":124446,"laÅŁ":124447,"енно":124448,"بØŃ":124449,"สà¸Ļ":124450,"ฮ":124451,"ר×IJש":124452,"ÙħÙĪ":124453,"دÙĬد":124454,"ษา":124455,"×ķ×ļ":124456,"ãĥ§ãĥ³":124457,"à¸ķุ":124458,"Ġêµ":124459,"ĠÑģво":124460,"צ×ij":124461,"à¸Ńม":124462,"à¸Ľà¸£":124463,"تع":124464,"×Ķת":124465,"اÙħÙĦ":124466,"×ŀ׳":124467,"ç¶ļ":124468,"ฤ":124469,"íį":124470,"ëĺ":124471,"ë¤":124472,"ìij":124473,"â´":124474,"ãĭ":124475,"ĠباÙĦ":124476,"á»ģu":124477,"ĠاÙĦÙĦ":124478,"à¸ķัว":124479,"Ø°Ùĩ":124480,"ึà¸ĩ":124481,"à¹ĥà¸Ĭà¹ī":124482,"á»ĵng":124483,"à¸Ļั":124484,"มาà¸ģ":124485,"ãĥŁ":124486,"×ŀ×ķ":124487,"à¸Ĺย":124488,"á»Ļi":124489,"ằ":124490,"ảo":124491,"à¹Ĥà¸Ķ":124492,"×IJ׾":124493,"สาม":124494,"ÙĪب":124495,"à¸Ĺุ":124496,"ยัà¸ĩ":124497,"עת":124498,"×ķ׳×ķת":124499,"à¸Ĥึ":124500,"à¸Ĥึà¹īà¸Ļ":124501,"à¸ģà¹Ī":124502,"ẫ":124503,"á»ijc":124504,"ãģĹãĤĩãģĨ":124505,"á»ĭch":124506,"Ġ×IJ×ķת":124507,"Ġש×IJ":124508,"׼×ķ׾":124509,"á»Ļc":124510,"عة":124511,"à¸Ĺี":124512,"à¹Ģà¸Ń":124513,"Ùĥت":124514,"ãģ»":124515,"ẻ":124516,"ìĹħ":124517,"à¸Ńà¸Ńà¸ģ":124518,"اÙĨت":124519,"à¹Ħร":124520,"Ġ×IJ×Ĺר":124521,"طر":124522,"ÙĨد":124523,"ืà¹īà¸Ń":124524,"Ø·ÙĦ":124525,"×IJ×Ķ":124526,"uyên":124527,"íĸī":124528,"×ij×Ķ":124529,"à¸Ħà¹Ī":124530,"à¸Ĭà¹Īว":124531,"ãģĤãĤĬãģ¾ãģĻ":124532,"ÙĬب":124533,"ק׾":124534,"ãĥĻ":124535,"Ä©":124536,"سر":124537,"าว":124538,"ãĤ±":124539,"à¸ļริ":124540,"ר×Ĵ":124541,"á»ĥu":124542,"ØŃت":124543,"×ķ×ŀ×Ļ":124544,"بÙĨ":124545,"êµIJ":124546,"ÄŁu":124547,"ãģªãĤĵ":124548,"×ijק":124549,"Ġפר":124550,"ắn":124551,"ØŃÙĦ":124552,"×ij×Ĺ":124553,"ấu":124554,"×ij×ķ×ĵ":124555,"ãĥ¯":124556,"Ġ׾ק":124557,"ัà¸į":124558,"à¸ŀิ":124559,"×Ĺ×Ķ":124560,"×ĸ׼":124561,"ãĥ¼ãĥł":124562,"ÑĤелÑĮ":124563,"×ŀ×Ļ×ĵ":124564,"ÙĬØ®":124565,"ẳ":124566,"تص":124567,"à¸ĺิ":124568,"è¾¼":124569,"ìĵ":124570,"ÙĥØ©":124571,"ÙĤب":124572,"à¸Ħà¹Į":124573,"à¹īาย":124574,"à¸ĵะ":124575,"าะ":124576,"ëĴ":124577,"ê¾":124578,"ë·":124579,"ìĩ":124580,"êº":124581,"ìģ":124582,"ëĢ":124583,"ì¾":124584,"ë½":124585,"ëļ":124586,"ìŃ":124587,"ìİ":124588,"áij":124589,"ëĹ":124590,"êĴ":124591,"à¡":124592,"à¬":124593,"ðIJĮ":124594,"ãĩ":124595,"ðĿĦ":124596,"Ġ׾×IJ":124597,"ãģ¨ãģĦãģĨ":124598,"Ġnhi":124599,"×Ļ×ķת":124600,"Ġש×Ķ":124601,"à¹ģลà¹īว":124602,"Æ°á»Ľc":124603,"à¸Ķà¹īวย":124604,"à¸Ĺาà¸ĩ":124605,"×ł×ª":124606,"פת":124607,"à¹ģà¸ķà¹Ī":124608,"Æ°ng":124609,"à¸Ńยูà¹Ī":124610,"à¹īำ":124611,"Ġ×IJ׾":124612,"ÙĥÙħ":124613,"ấp":124614,"ลà¸ĩ":124615,"ãģŁãĤģ":124616,"×Ĵ׾":124617,"หร":124618,"ĠÑĢе":124619,"à¹Ģà¸Ĥà¹īา":124620,"ÙĤر":124621,"Ġ×Ķס":124622,"ÙĪÙĬ":124623,"สามาร":124624,"สามารà¸ĸ":124625,"Äĥn":124626,"à¸Ńี":124627,"פ×ķ":124628,"×Ļ׳×ķ":124629,"วัà¸Ļ":124630,"ặc":124631,"íķĻ":124632,"×ŀת":124633,"êu":124634,"ẹ":124635,"ÙģÙĬ":124636,"×ŀצ":124637,"à¸Ħา":124638,"ãģĿãģĨ":124639,"ãĢħ":124640,"از":124641,"اÙĩ":124642,"ר×Ļ×Ŀ":124643,"ấn":124644,"หาร":124645,"ạt":124646,"ÙĨÙĩ":124647,"à¹Ģà¸Ħร":124648,"جÙĩ":124649,"׼×Ļ":124650,"ắt":124651,"à¸Ħà¹īา":124652,"رة":124653,"ãĥı":124654,"ÙĥÙĪÙĨ":124655,"ứng":124656,"Ġìļ°":124657,"ยà¹Į":124658,"à¹Īวà¸Ļ":124659,"à¸ģำ":124660,"ثر":124661,"Ñģи":124662,"ĠاÙĦØ·":124663,"Ġ×Ķצ":124664,"ĠØ·":124665,"ĠاÙĦÙĪ":124666,"ê¹Į":124667,"ØŃÙĬ":124668,"ارات":124669,"à¹Ģà¸ĭ":124670,"با":124671,"гÑĢ":124672,"รี":124673,"ืà¸Ńà¸Ļ":124674,"عت":124675,"ÙĤاÙĦ":124676,"دÙħ":124677,"Ø¡":124678,"Ġ×ŀק":124679,"×ĵ×Ļ×Ŀ":124680,"×¢×ľ":124681,"ãģĴ":124682,"ëĭĺ":124683,"×¢×Ķ":124684,"Ġìĸ´":124685,"ÑģÑĮ":124686,"ÙĤØ·":124687,"ãĥĽ":124688,"èĢĥãģĪ":124689,"à¹ģà¸Ļ":124690,"ÙĪات":124691,"âu":124692,"ĠìĤ¬ëŀ":124693,"หว":124694,"ĠاÙĦØ£Ùħ":124695,"Ġ×Ķ×ŀש":124696,"بÙĪ":124697,"à¸Ĭà¸Ļ":124698,"ãĤĵãģ§ãģĻ":124699,"วà¸Ļ":124700,"à¸ģรรม":124701,"×ŀ×ķ×ĵ":124702,"ÙĥاÙĨ":124703,"×ķ×£":124704,"олог":124705,"تÙĨ":124706,"à¸ķà¹Į":124707,"ê²ĥ":124708,"ר×ĺ":124709,"ừng":124710,"×ķ×ij×Ķ":124711,"ÙħØŃ":124712,"ĠЧ":124713,"פ×Ĵ":124714,"สà¸ĸ":124715,"ãģĭãĤĬ":124716,"ınız":124717,"à¹Ģย":124718,"ãĥ¼ãĥ³":124719,"ãģĬãĤĬ":124720,"פש":124721,"ิà¸ķ":124722,"Ø·ÙĨ":124723,"×Ļת×Ļ":124724,"×IJ׳":124725,"çek":124726,"ìª":124727,"×ŀ×ij":124728,"ศา":124729,"ãĤ¹ãĤ¿":124730,"à¸ļุ":124731,"×ĵ×ijר":124732,"ãģĦãģı":124733,"สะ":124734,"à¹Ģหล":124735,"ิà¸ĩ":124736,"à¸ŀัà¸Ļ":124737,"ãģĦãģŁãģł":124738,"ãĤĤãĤī":124739,"à¹īม":124740,"ãģĵãģ¨ãģĮãģ§ãģį":124741,"ารà¹Į":124742,"ุà¸ĩ":124743,"íij":124744,"ì¯":124745,"ë¼":124746,"íĤ":124747,"ì·":124748,"ê¡":124749,"áı":124750,"áĴ":124751,"ðĿľ":124752,"á©":124753,"ðŁĦ":124754,"ðIJ¤":124755,"Ġש׾":124756,"Ġ×ŀ×Ķ":124757,"à¹ģละ":124758,"Ġ׼׾":124759,"ẽ":124760,"á»Ļng":124761,"Ø°ÙĬ":124762,"ле":124763,"×¥":124764,"ãģªãģ©":124765,"ĠÙĪØ£":124766,"หà¸Ļà¹īา":124767,"ãģ¾ãģ§":124768,"à¸ķà¹Īà¸Ń":124769,"à¸Ĺัà¹īà¸ĩ":124770,"ãģłãģij":124771,"à¹ģà¸ļà¸ļ":124772,"à¹Ģรา":124773,"פ׾":124774,"ãģŁãģĦ":124775,"à¹Ģลย":124776,"ãģ£ãģ¦ãģĦãĤĭ":124777,"ếp":124778,"ึà¹Īà¸ĩ":124779,"ê´Ģ":124780,"ê³Ħ":124781,"׼×ķ":124782,"à¹Ģรืà¹Īà¸Ńà¸ĩ":124783,"ק×Ļ":124784,"êµŃ":124785,"פס":124786,"تÙĬ":124787,"ãĥĦ":124788,"Ġ×Ķ×Ĺ":124789,"ги":124790,"ר×IJ׾":124791,"×ŀ׾":124792,"ĠØ£ÙĬ":124793,"ĠعÙĦÙĬ":124794,"ãģĭãģ£ãģŁ":124795,"ש×Ļ":124796,"дÑĥ":124797,"×ŀף":124798,"׳×ĺ":124799,"׳×Ļת":124800,"miÅŁ":124801,"׼×Ŀ":124802,"Ġ×ijר":124803,"Ġ׾×ij":124804,"ĠÐĽ":124805,"çe":124806,"×ķ׳×Ļ":124807,"ãĤĪãģĨãģ«":124808,"פ×ķר":124809,"ãĥį":124810,"ÙĥÙĬ":124811,"×Ĺת":124812,"ÙģÙĦ":124813,"Ġ×Ķק":124814,"Ġ×Ķ×ij":124815,"Ġ×ŀס":124816,"à¹Īาà¸Ļ":124817,"пеÑĢ":124818,"à¹Īาว":124819,"Ġ×ij×IJ":124820,"ĠÙĪÙĩ":124821,"à¸Ļำ":124822,"Ġ×ijש":124823,"׳ק":124824,"ãģ©ãģĨ":124825,"ש×ķת":124826,"×ĵ×Ķ":124827,"à¹Ģà¸ļ":124828,"ÙĨس":124829,"Ġìļ°ë¦¬":124830,"สà¹Īวà¸Ļ":124831,"ลัà¸ĩ":124832,"جز":124833,"Ġ×Ĺ×Ļ":124834,"Ùĥثر":124835,"ละ":124836,"Ùĩد":124837,"ĠÙĪب":124838,"اÙĦÙħ":124839,"à¹ģม":124840,"Æ¡i":124841,"Ġ×ij×Ĺ":124842,"ữa":124843,"à¹Ģà¸Ĺศ":124844,"à¸ķัà¹īà¸ĩ":124845,"огда":124846,"׾ק":124847,"دد":124848,"สรà¹īาà¸ĩ":124849,"à¸Ĭี":124850,"Ùģض":124851,"à¹ģห":124852,"uyá»ĩn":124853,"รัà¸ģ":124854,"á»ĩm":124855,"สา":124856,"פק":124857,"ียà¸ĩ":124858,"à¸ķà¹Īาà¸ĩ":124859,"à¸Ħรัà¹īà¸ĩ":124860,"ØŃÙĤ":124861,"à¹Ģà¸Ńà¸ĩ":124862,"ائÙĬ":124863,"×ĺ×¢":124864,"اÙĦØ©":124865,"ิà¹Īม":124866,"ãĤ½":124867,"دÙī":124868,"Ġר×IJ":124869,"ãģ£ãģ¨":124870,"ãĥĥãĥĹ":124871,"ÙĬرة":124872,"ê±´":124873,"×ŀ×IJ":124874,"×ķ×ķ":124875,"بع":124876,"ãģ²":124877,"ราย":124878,"×ĵ×Ŀ":124879,"تÙģ":124880,"à¸ķà¸ģ":124881,"ạng":124882,"ãĤĴè¦ĭ":124883,"à¸Ĭั":124884,"Æ°á»Ł":124885,"Æ°á»Łng":124886,"جب":124887,"×ķ×ŀר":124888,"ĠìĤ¬ëŀĮ":124889,"óng":124890,"รั":124891,"Ġ×Ķ×ĸ":124892,"רצ":124893,"Ġ×Ĺ×ĵ":124894,"Ø°ÙĦÙĥ":124895,"×ķר×Ļ":124896,"ãģ¡ãĤĥ":124897,"Ùģع":124898,"Ġ׾צ":124899,"ái":124900,"à¹ĩà¸ļ":124901,"ãģİ":124902,"à¸ģิ":124903,"ạc":124904,"ë©°":124905,"ãģªãĤĭ":124906,"×ķ׾×Ŀ":124907,"à¹ģà¸Ĺ":124908,"×ķ×¥":124909,"меÑĤ":124910,"Ã¼ÅŁ":124911,"ÑĢÑı":124912,"à¸Ĵ":124913,"ÑģÑĤоÑı":124914,"عÙĪد":124915,"Ùħار":124916,"طة":124917,"à¸ŀื":124918,"кÑĢ":124919,"à¹ģà¸ģ":124920,"à¹Ĥรà¸ĩ":124921,"×ij×Ļ×ĺ":124922,"ê²ł":124923,"×ķ׾×Ķ":124924,"ØŃر":124925,"ืà¹Īà¸Ńà¸Ļ":124926,"×ķ×ijר":124927,"×Ĺש":124928,"ãĥķãĤ¡":124929,"×ŀ×ĺ":124930,"út":124931,"Ġdön":124932,"ắng":124933,"ëłĩ":124934,"ẳng":124935,"วà¸ģ":124936,"صد":124937,"خط":124938,"à¸Ńั":124939,"ãĤıãĤĮ":124940,"سÙĦاÙħ":124941,"à¹Ģรà¹ĩ":124942,"×Ļש×Ļ":124943,"جاÙĦ":124944,"ãģijãĤĭ":124945,"à¸Ĭาà¸ķิ":124946,"ÙĪاÙĤ":124947,"à¹Ĥà¸Ļ":124948,"ãģ¦ãģĹãģ¾":124949,"اعة":124950,"ãĤŃãĥ£":124951,"à¸įา":124952,"ÙĦاÙĤ":124953,"ิà¸ģ":124954,"ĠÑģов":124955,"ÑĢак":124956,"×Ļ׳×Ļ":124957,"Ã¼ÄŁ":124958,"Ã¼ÄŁÃ¼":124959,"ק×ij":124960,"à¹Īà¸Ńà¸ĩ":124961,"Ġgerçek":124962,"à¸Ĺั":124963,"ованиÑı":124964,"×ŀ׼":124965,"سة":124966,"×Ļ×£":124967,"leÅŁ":124968,"Ùħؤ":124969,"ĠìĿĺ":124970,"à¸IJาà¸Ļ":124971,"ĠÑģоб":124972,"ĠêµŃ":124973,"עצ":124974,"зв":124975,"สà¸ĩ":124976,"زÙĦ":124977,"ãģıãĤĮ":124978,"иÑĢÑĥ":124979,"تأ":124980,"полн":124981,"ìĺĢ":124982,"ÙĨØ´":124983,"׼×IJ":124984,"ÙħØ´":124985,"à¸Ķà¹Į":124986,"ÙĪÙĬÙĦ":124987,"à¹ģà¸Ĥ":124988,"ãģ£ãģ¦ãģĹãģ¾":124989,"ноÑģÑĤ":124990,"вл":124991,"ÙħÙĤ":124992,"راج":124993,"å¤ī":124994,"ëĽ":124995,"â¸":124996,"ìIJ":124997,"à»":124998,"áļ":124999,"â»":125000,"êĻ":125001,"â§":125002,"ðĴ":125003,"ðĿĩ":125004,"Ġ×IJת":125005,"ĠÙĦÙĦ":125006,"ĠØ£ÙĨ":125007,"Ġ×ķ×Ķ":125008,"ãģ«ãģ¯":125009,"Ġ×Ļש":125010,"تÙĩ":125011,"ÃŃnh":125012,"ÙĬات":125013,"Ġ×ij×ŀ":125014,"à¸Ļัà¹īà¸Ļ":125015,"à¸Ļà¹īำ":125016,"Ãło":125017,"à¸ķาม":125018,"ãģ®ãģ¯":125019,"dır":125020,"Ġnghi":125021,"ặt":125022,"×ŀ×Ļ×Ŀ":125023,"ãģ¦ãģĦãĤĭ":125024,"Ġ×ijת":125025,"หรืà¸Ń":125026,"ĠسÙĬ":125027,"ãģªãĤī":125028,"à¹Ĥà¸Ķย":125029,"ıyor":125030,"à¸Ńีà¸ģ":125031,"á»ĩnh":125032,"Ñĭм":125033,"à¸Ĺุà¸ģ":125034,"Ġ׾×Ĺ":125035,"Ġ×Ķר":125036,"Ġ×Ķ×Ļ":125037,"à¸ŀระ":125038,"à¹Ģวลา":125039,"Ġغ":125040,"ẫn":125041,"mÄ±ÅŁ":125042,"׼×Ķ":125043,"á»ijn":125044,"ãģ§ãģĹãĤĩãģĨ":125045,"ãĥ¢":125046,"à¸Ľà¸µ":125047,"ס×Ļ":125048,"ãģĵãĤį":125049,"Ġ׾פ":125050,"รà¸ĸ":125051,"ê¸Ī":125052,"à¸ģวà¹Īา":125053,"무":125054,"á»įng":125055,"ãĤĵãģ§":125056,"ãĤĪãģĨãģª":125057,"á»ĵi":125058,"ãĤ¬":125059,"สà¹Īà¸ĩ":125060,"×Ļ׳×Ķ":125061,"à¸ĸูà¸ģ":125062,"à¸Īัà¸Ķ":125063,"Ġ×Ķ×Ĵ":125064,"ãĥľ":125065,"×ŀ×ķת":125066,"ÙĪÙĥ":125067,"ëĭ¨":125068,"ĠØ«":125069,"ãģ®ãģĮ":125070,"à¹Ģหà¹ĩà¸Ļ":125071,"عا":125072,"à¸Ļิ":125073,"Åŀ":125074,"à¸Ńะ":125075,"ãģĪãĤĭ":125076,"Ø«ÙĦ":125077,"ØŃÙħد":125078,"à¹Ģà¸ģิà¸Ķ":125079,"פשר":125080,"פ×Ķ":125081,"มิ":125082,"ئÙĬس":125083,"à¸Ĺำà¹ĥหà¹ī":125084,"×¢×ĵ":125085,"ìĭ¤":125086,"à¸Ĭà¹Īวย":125087,"ĠاÙĦÙħÙĨ":125088,"زÙĬ":125089,"عÙĬ":125090,"Ġ׼×IJ":125091,"ạnh":125092,"ỹ":125093,"ãĤĵãģª":125094,"สู":125095,"צר":125096,"Æ°á»Ľng":125097,"×ķ×ķ×Ķ":125098,"à¹Ĥล":125099,"ĠاÙĦÙĩ":125100,"วา":125101,"หลาย":125102,"Ñīе":125103,"à¸Ĥà¹īà¸Ń":125104,"à¹īà¸Ńย":125105,"بط":125106,"каÑı":125107,"ĠØ¢":125108,"ĠиÑģ":125109,"ĠاÙĦغ":125110,"à¸ģา":125111,"à¸Ļà¹Īา":125112,"ÙĬÙĪ":125113,"×ij×ķר":125114,"á»ħn":125115,"วà¸ĩ":125116,"×Ļ×ĸ":125117,"ì²Ń":125118,"ним":125119,"룰":125120,"×Ĵ×ķר":125121,"صØŃ":125122,"ÙĦÙĪ":125123,"×Ĺ×ķת":125124,"สุ":125125,"رÙĬÙĤ":125126,"ס×ĺ":125127,"Ġ×ŀ×¢":125128,"ãĥĨãĤ£":125129,"à¸Ħิà¸Ķ":125130,"ãĤįãģĨ":125131,"à¹Ħล":125132,"à¸Ļà¹Į":125133,"á»ıi":125134,"ÑģÑĤÑĢо":125135,"สà¸Ķ":125136,"สาร":125137,"ÙĪÙĦØ©":125138,"ầm":125139,"รà¹Īว":125140,"รà¹Īวม":125141,"รุ":125142,"ĠاÙĦسÙĬ":125143,"ìĺģ":125144,"Ġ×ŀ×ij":125145,"פ×ĺ":125146,"à¸ķิà¸Ķ":125147,"×ĺ×Ļ×Ŀ":125148,"Ġ무":125149,"ÙĤدÙħ":125150,"ĠdÃ¼ÅŁ":125151,"ائÙĦ":125152,"мÑĭ":125153,"ØŃس":125154,"ÙĪص":125155,"×Ļק×Ķ":125156,"ãģ§ãģ¯ãģªãģĦ":125157,"à¹Ģหม":125158,"оÑĢÑĤ":125159,"íĨµ":125160,"ãģIJ":125161,"кÑĢа":125162,"ียว":125163,"عار":125164,"ئة":125165,"íĥĢ":125166,"ãģ«ãģªãĤĬ":125167,"جة":125168,"ÙĪÙĤع":125169,"ÑĮÑı":125170,"×ķצ×Ķ":125171,"ש×Ŀ":125172,"بÙĤ":125173,"Ġ×Ļ×Ķ":125174,"ÙĬØ·":125175,"ımız":125176,"деÑĢж":125177,"×Ļשר×IJ׾":125178,"غÙĬر":125179,"รà¸Ńà¸ĩ":125180,"à¹Ģรียà¸Ļ":125181,"Ġ×Ķ×ĺ":125182,"หมาย":125183,"ÙħÙĩ":125184,"اÙģØ©":125185,"ĠоÑĢг":125186,"ÙĪÙī":125187,"ãĥ©ãĤ¤":125188,"×ŀ׳×Ķ":125189,"ĠÄijo":125190,"ĠгоÑĢ":125191,"اÙħØ©":125192,"楽":125193,"Ø«ÙĬر":125194,"à¸ģิà¸Ī":125195,"á»ĵn":125196,"ÙĨب":125197,"ÑĢÑĥд":125198,"ìĹĪ":125199,"Ġ×Ĺ×ijר":125200,"ÑĢаж":125201,"ạch":125202,"تÙĪ":125203,"à¹Ĥม":125204,"×ij×Ļ×ij":125205,"ĠíĨµ":125206,"acaģı":125207,"جÙĦس":125208,"à¹Ģà¸Ľà¸¥":125209,"วà¸Ķ":125210,"à¸Ńล":125211,"ãģŁãĤĬ":125212,"à¸Ľà¸±à¸į":125213,"ĠìķĮ":125214,"عرÙģ":125215,"à¹Ħà¸Ł":125216,"أخ":125217,"å¤ļãģĦ":125218,"à¸Ķัà¸ĩ":125219,"Ø´Ùģ":125220,"ãģ£ãģ¦ãģĦãģ¾ãģĻ":125221,"×Ľ×ł×¡":125222,"ÑĨе":125223,"еÑģп":125224,"ÙħاÙħ":125225,"à¸ŀืà¹īà¸Ļ":125226,"иÑĩеÑģки":125227,"خد":125228,"ÙĥÙĪÙħ":125229,"Ġ×Ķר×IJש":125230,"تاب":125231,"é£Łãģ¹":125232,"ืà¸Ļ":125233,"оÑĢо":125234,"Ġböl":125235,"×ķ×Ĺ×ĵ":125236,"دÙĬر":125237,"ắm":125238,"دع":125239,"ãģķãģĽ":125240,"à¸ĺร":125241,"à¸ĺรรม":125242,"ãģĭãĤĤ":125243,"å¤ļãģı":125244,"rä":125245,"سع":125246,"×Ļ׾×Ķ":125247,"ضر":125248,"ĠاÙĦشر":125249,"×ĸ×ķר":125250,"×¢×ijר":125251,"ạm":125252,"алÑĮно":125253,"رÙĨ":125254,"اÙħج":125255,"׼×ļ":125256,"dıģ":125257,"ден":125258,"ضا":125259,"ÙĦÙĬÙħ":125260,"Ġê·¸ëŁ¬":125261,"تÙħاع":125262,"ارÙĬØ®":125263,"à¹Ĥà¸ķ":125264,"ĠÑģÑĢед":125265,"Ġ׳×ķס":125266,"ÙĤبÙĦ":125267,"оÑĤов":125268,"leÅŁtir":125269,"ĠмеÑģÑĤ":125270,"سÙĦÙħ":125271,"Ġעצ":125272,"ĠاÙĦسÙĦ":125273,"еÑĤÑĮ":125274,"ابة":125275,"нак":125276,"สà¸ĸาà¸Ļ":125277,"Ġ×ij׳":125278,"à¸ļัà¸Ļ":125279,"׼׳":125280,"ĠÃ¶ÄŁ":125281,"ãģ¨è¨Ģ":125282,"uyến":125283,"diÄŁ":125284,"áºŃu":125285,"ÑĢаÑģ":125286,"ãĤ·ãĥ§ãĥ³":125287,"nız":125288,"×ķ×ĵ×Ķ":125289,"تس":125290,"ÙħاÙĦ":125291,"à¹Ģหà¸ķุ":125292,"ยว":125293,"à¸ŀัà¸ģ":125294,"ãģĦãģªãģĦ":125295,"ĠкаÑĩ":125296,"ลà¹Į":125297,"×¨×Ľ×ª":125298,"ÅŁtur":125299,"×ŀ×ķס":125300,"ãģ¥":125301,"бол":125302,"عÙħاÙĦ":125303,"×ķרת":125304,"ÑĨион":125305,"ศึà¸ģ":125306,"à¸ı":125307,"ÑĢен":125308,"اسÙĬ":125309,"ائر":125310,"à¹Ĥà¸Ľà¸£":125311,"Ġseç":125312,"غÙĬ":125313,"ÑįÑĤ":125314,"енн":125315,"ãģªãģ®":125316,"×Ļש×Ķ":125317,"×Ļפ×ķר":125318,"ãģŁãĤģãģ«":125319,"زة":125320,"Ġçoc":125321,"ãĤ¯ãĥª":125322,"ÑĪен":125323,"ãĤıãģij":125324,"رÙĬد":125325,"ĠÑĢаÑģÑģ":125326,"Ùĥات":125327,"สà¸Ńà¸ļ":125328,"ceÄŁi":125329,"ãĤ¿ãĤ¤":125330,"à¸ļร":125331,"ĠاÙĦبر":125332,"׳×ķ×¢":125333,"rün":125334,"راض":125335,"ศาส":125336,"à¸ķรà¹Į":125337,"ãģįãģŁ":125338,"×ķ׾×ĵ":125339,"еÑĢи":125340,"íĹĺ":125341,"ắp":125342,"تعÙĦ":125343,"Ùĥد":125344,"иÑĤелÑĮно":125345,"Ø·Ùģ":125346,"ĠавÑĤом":125347,"Ġ×ŀצ":125348,"ÑĪиÑħ":125349,"اتÙģ":125350,"ĠÑħоÑĤ":125351,"Ùİا":125352,"ãģıãĤĭ":125353,"×Ķפ":125354,"à¹Ĥà¸Ĺ":125355,"à¹ģà¸ŀ":125356,"à¹Īà¸Ńย":125357,"ĠاÙĦÙħØ´":125358,"à¸ģารà¸ĵà¹Į":125359,"аниз":125360,"×Ķ׾":125361,"ظÙħ":125362,"ยุ":125363,"liÄŁ":125364,"à¹Ħà¸Ĥ":125365,"à¸ĸืà¸Ń":125366,"öz":125367,"ãģijãģ¦":125368,"à¹Ģà¸ľ":125369,"ุม":125370,"ãĥĹãĥ¬":125371,"Ġ×Ķ×IJ×Ĺר":125372,"ختÙĦÙģ":125373,"à¸İ":125374,"ÙĦاØŃ":125375,"Ġdüzen":125376,"צ×Ķ":125377,"ساء":125378,"×ķר×ļ":125379,"×ķ×ĵ×Ļ":125380,"ÑĢаÑĦ":125381,"ÅŁtır":125382,"ãģ«åħ¥":125383,"ãģĪãģ°":125384,"صÙĪÙĦ":125385,"ĠÐľÐ¾Ñģ":125386,"اÙĩر":125387,"ãģ£ãģ":125388,"ĠлÑİб":125389,"×Ļ×¢×Ķ":125390,"Ġ×Ķ×ŀק":125391,"สิà¸Ĺ":125392,"สิà¸Ĺà¸ĺิ":125393,"×Ļ׳×Ŀ":125394,"ÙĦاÙģ":125395,"à¸ŀัà¸Ļà¸ĺ":125396,"×ķ×IJ×Ķ":125397,"มั":125398,"à¸Ĥà¸ĵะ":125399,"доÑĢ":125400,"ãģ¨ãģª":125401,"à¸ģระà¸Ĺ":125402,"acı":125403,"×ķ׾×ķ×Ĵ":125404,"ÑĥÑĪ":125405,"ãĥ¥ãĥ¼":125406,"ãĥ¦":125407,"Ùħست":125408,"ĠaÅŁ":125409,"שק":125410,"פת×Ĺ":125411,"ายà¸Ļ":125412,"íĩ":125413,"ë¢":125414,"ï·":125415,"íī":125416,"ìµ":125417,"ì¬":125418,"ðĿĽ":125419,"ìĴ":125420,"ëĻ":125421,"ê§":125422,"áĸ":125423,"â¨":125424,"â±":125425,"áĺ":125426,"ðĸ":125427,"àł":125428,"áĶ":125429,"ðIJŃ":125430,"ững":125431,"Å©ng":125432,"Ġ×Ķת":125433,"ĠاÙĦا":125434,"Ġ×ŀת":125435,"à¸ĸึà¸ĩ":125436,"òn":125437,"á»ĭnh":125438,"нÑĭм":125439,"Ġcả":125440,"à¸Ķู":125441,"Ġà¹ģà¸ķà¹Ī":125442,"Ġ×ij×Ķ":125443,"ói":125444,"ãģ¨ãģĹãģ¦":125445,"úng":125446,"ĠØ°":125447,"Ġ×Ķ׳":125448,"ĠبÙĨ":125449,"ÙĦاÙĦ":125450,"à¹Ħà¸Ĺย":125451,"á»ĩp":125452,"tı":125453,"มัà¸Ļ":125454,"ằng":125455,"á»ijt":125456,"ком":125457,"à¸ĭึà¹Īà¸ĩ":125458,"à¸Ħรัà¸ļ":125459,"à¸ļà¹īาà¸Ļ":125460,"ĠاÙĦÙĬ":125461,"lü":125462,"ÙĪس":125463,"ãģłãģ£ãģŁ":125464,"à¹Ģà¸ĩ":125465,"Ġê³µ":125466,"нÑĥ":125467,"ãĤĪãĤĬ":125468,"мÑĥ":125469,"à¹Ģà¸Ĥา":125470,"ãĤĢ":125471,"ние":125472,"ãģ«ãģªãĤĭ":125473,"áºŃy":125474,"ĠÙĪا":125475,"볤":125476,"ש×ķ":125477,"áp":125478,"×ĵ×ķ":125479,"ãģ§ãģĹãģŁ":125480,"عض":125481,"Ñģкой":125482,"æĦŁãģĺ":125483,"ÑİÑĤÑģÑı":125484,"Ġ×Ļ׼×ķ׾":125485,"ãĤĵãģł":125486,"ви":125487,"à¹Ģลà¹Īà¸Ļ":125488,"ìĿ´ëĭ¤":125489,"ĠÙĦÙĩ":125490,"à¸Ħืà¸Ń":125491,"تÙĥ":125492,"ÙħÙĥÙĨ":125493,"aģı":125494,"׳×ĵ":125495,"민":125496,"à¹Ħว":125497,"สำห":125498,"สำหรัà¸ļ":125499,"Ñģлед":125500,"tır":125501,"ĠÙĦÙĬ":125502,"ĠاÙĦعÙħÙĦ":125503,"×ij×ķת":125504,"×ij×Ļ×Ŀ":125505,"à¸Ħำ":125506,"à¹Ģà¸Ħรืà¹Īà¸Ńà¸ĩ":125507,"lıģı":125508,"ืà¸Ńà¸ĩ":125509,"جد":125510,"íŀĪ":125511,"ìĭ¬":125512,"×¢×ķת":125513,"สิà¸Ļ":125514,"Ñĩи":125515,"رض":125516,"à¹Ģà¸Ľà¸´à¸Ķ":125517,"à¸Ħà¹Īา":125518,"ìĦł":125519,"ÙĪرة":125520,"ק×ĺ":125521,"ìľł":125522,"عÙħÙĦ":125523,"×IJ×Ļ×Ŀ":125524,"׾×Ļ×Ŀ":125525,"à¹ĥหà¸į":125526,"à¹ĥหà¸įà¹Ī":125527,"ừa":125528,"á»įi":125529,"ãģ¶":125530,"ÃŃch":125531,"ãĥĩãĤ£":125532,"×ķר×Ļ×Ŀ":125533,"Ñģо":125534,"ìķ½":125535,"ова":125536,"ÑĩаÑģÑĤ":125537,"à¹Ģà¸Īà¹īา":125538,"пÑĢо":125539,"Ġ×ŀ×Ĺ":125540,"ãĥİ":125541,"×ķ×Ļ×ķת":125542,"Ġде":125543,"ë§Ī":125544,"ì§ģ":125545,"×Ļפ×Ķ":125546,"ĠاÙĦعاÙĦÙħ":125547,"르":125548,"ר×IJ×Ķ":125549,"uyá»ĥn":125550,"×¢×Ļ":125551,"มืà¸Ń":125552,"Ø¥ÙĨ":125553,"รู":125554,"Ġز":125555,"×Ļ×ķ×Ŀ":125556,"à¸ķà¹īà¸Ļ":125557,"ãģ¦ãģĦãģ¾ãģĻ":125558,"ÙħاÙĨ":125559,"ĠÐ¥":125560,"à¸Ľà¸£à¸°à¹Ģà¸Ĺศ":125561,"ỳ":125562,"׾×ij":125563,"à¹Ģà¸Ķà¹ĩ":125564,"ãģŁãģ¡":125565,"à¸Ĺีม":125566,"à¸Ļะ":125567,"ìĹ°":125568,"ĠìłĢ":125569,"ÙĦÙĩ":125570,"ợi":125571,"ĠاÙĦز":125572,"دار":125573,"ãĤ³ãĥ³":125574,"мин":125575,"à¹ģหà¹Īà¸ĩ":125576,"à¸Ķัà¸ļ":125577,"׼ר":125578,"жа":125579,"íĸĪ":125580,"×ŀ×ĸ":125581,"ợi":125582,"à¸Ķา":125583,"Ġعبد":125584,"à¹ģร":125585,"×IJתר":125586,"×¢×ł×Ļ":125587,"à¹Ģà¸Ħ":125588,"×ķצר":125589,"ì§Ģë§Į":125590,"ائÙħ":125591,"أس":125592,"uyá»ģn":125593,"Ġ×IJ׳":125594,"×Ĺ׳×ķ":125595,"×ĸ×Ļ":125596,"รà¹īาà¸Ļ":125597,"ĠÐłÐ¾Ñģ":125598,"ĠÐłÐ¾ÑģÑģ":125599,"ربÙĬØ©":125600,"tür":125601,"ãĤĭãģĵãģ¨":125602,"ظر":125603,"бÑĭ":125604,"à¸Ĺีà¹Īสุà¸Ķ":125605,"Ġצר":125606,"èĩªåĪĨ":125607,"лаÑģ":125608,"ĠÑıв":125609,"ĠÑıвлÑı":125610,"à¸ŀรà¹īà¸Ńม":125611,"à¸Ńาà¸Ī":125612,"à¸ļริà¸ģาร":125613,"Ġçı":125614,"ëįĺ":125615,"ĠاÙĦÙħست":125616,"تش":125617,"ש×ķ×ij":125618,"ãĤ´":125619,"Ġyapıl":125620,"ĠاÙĦØ°":125621,"ุà¹Īม":125622,"à¸ĸà¹īา":125623,"ìĦ¤":125624,"ì°¨":125625,"ваÑĢ":125626,"à¹Ģà¸ŀิà¹Īม":125627,"Æ°á»Ľi":125628,"Ùĥس":125629,"à¸Ńยาà¸ģ":125630,"ãģ¦ãĤĤ":125631,"Ġгод":125632,"ÙĬار":125633,"à¸ķà¸Ńà¸Ļ":125634,"ĠигÑĢ":125635,"à¹Ħà¸Ķà¹īรัà¸ļ":125636,"ĠاÙĦÙħر":125637,"ÙĤت":125638,"Ġëĺ":125639,"ĠëĺIJ":125640,"ẩn":125641,"ãģĻãĤĭãģĵãģ¨":125642,"×Ĵ×Ŀ":125643,"Ġ×ij×ij":125644,"تد":125645,"ÙĪار":125646,"ãĤ®":125647,"пол":125648,"Ġмог":125649,"ترÙĥ":125650,"ÙĪØ«":125651,"Ġçık":125652,"اة":125653,"à¹Ģà¸Ķียว":125654,"มีà¸Ħวาม":125655,"Ġ×ŀ×Ĵ":125656,"صÙģ":125657,"ĠТак":125658,"Ġ×Ľ×ª":125659,"×Ļ×ĵ×Ļ":125660,"овоÑĢ":125661,"ầy":125662,"สิà¹Īà¸ĩ":125663,"بت":125664,"ürü":125665,"ÙĨج":125666,"หลัà¸ģ":125667,"×Ļ×Ķ×Ŀ":125668,"ÙĤص":125669,"зÑĭ":125670,"×Ľ×ª×ij":125671,"Æ°u":125672,"mız":125673,"ĠìĦ¸":125674,"лог":125675,"ÙħÙĬÙĦ":125676,"ÙĬج":125677,"íĴĪ":125678,"à¸ŀà¸ļ":125679,"หัว":125680,"зна":125681,"רק":125682,"à¹Ĥร":125683,"Ġ×ijס":125684,"ĠBaÅŁkan":125685,"ĠëĶ°":125686,"à¸Ńัà¸Ļ":125687,"ีà¹Īยว":125688,"неÑģ":125689,"à¹Ģà¸Ķิà¸Ļ":125690,"ÙĬاÙĨ":125691,"×ķ׾×Ļ":125692,"اخت":125693,"צ×ķת":125694,"ãģĵãģĵ":125695,"ĠاÙĦاÙĨ":125696,"ĠпÑĢоÑĨ":125697,"ãģ¾ãģł":125698,"×Ľ×¡":125699,"ĠاÙĦØ¢":125700,"ÙĬز":125701,"ĠاÙĦدÙĪÙĦ":125702,"ĠíķĺëĤĺ":125703,"ضع":125704,"ê»ĺ":125705,"ÅĽwi":125706,"ยิ":125707,"ãģ¡ãĤĥãĤĵ":125708,"ĠÙħØ´":125709,"à¸ĺี":125710,"ãģ¨ãģį":125711,"׳×Ļ×ķת":125712,"Ġë¯":125713,"Ġ미":125714,"Ġsı":125715,"ëĭĪê¹Į":125716,"Ġпл":125717,"غÙĦ":125718,"à¹ģรà¸ĩ":125719,"بÙĬر":125720,"ãģĤãĤĬãģ¾ãģĽãĤĵ":125721,"ê·¼":125722,"Ġyüz":125723,"ĠdeÄŁer":125724,"åł´åIJĪ":125725,"ỡ":125726,"маÑĤ":125727,"ราà¸Ĭ":125728,"ÙĪرÙĬ":125729,"жен":125730,"ãģ¾ãĤĬ":125731,"ãģ®ä¸Ń":125732,"×Ļ×ĵ×¢":125733,"à¸Ńุ":125734,"à¸ļà¸Ńล":125735,"à¸Ľà¸±à¸įหา":125736,"زÙħ":125737,"ÄŁa":125738,"à¸Ńืà¹Ī":125739,"à¸Ńืà¹Īà¸Ļ":125740,"пл":125741,"ĠнеобÑħодим":125742,"׼×ij":125743,"à¹Ģศ":125744,"קר×Ķ":125745,"ì²ĺ":125746,"볨":125747,"×ŀק×ķ×Ŀ":125748,"jÄħc":125749,"ÙĩÙĦ":125750,"Ġ×¢×ij×ķ×ĵ":125751,"à¹Ħมà¹ī":125752,"à¸ģลัà¸ļ":125753,"×ķ׼׾":125754,"ק×ĵ":125755,"اÙĦÙĬØ©":125756,"رÙĩ":125757,"ãģijãĤĮãģ°":125758,"ĠÙĨÙģس":125759,"ãĤ¢ãĥ«":125760,"ìĹĪëĭ¤":125761,"ק×ķר":125762,"неÑĢ":125763,"باب":125764,"ãĤ¶":125765,"سبب":125766,"ÙĦÙĬÙĦ":125767,"صÙĨ":125768,"صدر":125769,"ếm":125770,"à¸Ĭà¹Īวà¸ĩ":125771,"ØŃÙĨ":125772,"Ġ×ij×Ĵ":125773,"×ŀ×ķ×¢":125774,"׾×Ĺ":125775,"大ãģį":125776,"تب":125777,"неÑĤ":125778,"×Ļ×ij×Ķ":125779,"бл":125780,"ãĥĹãĥª":125781,"اصة":125782,"ãģ¤ãģij":125783,"×Ļ×ŀ×ķש":125784,"ãģĮãģĤ":125785,"ëĭ´":125786,"ãģĭãĤĤãģĹ":125787,"ãģĭãĤĤãģĹãĤĮ":125788,"ãģ¡ãĤī":125789,"×ij×ĺ":125790,"ĠbaÄŁ":125791,"×Ļ×Ĺס":125792,"×ij×ķ×¢":125793,"ลี":125794,"פע×Ļ׾":125795,"ими":125796,"gÅĤ":125797,"Ġиме":125798,"خداÙħ":125799,"×IJ×Ļר":125800,"Ġyapt":125801,"ãģ¨ãģĦ":125802,"à¸ĩà¹Īาย":125803,"׾×Ļ×ķ":125804,"ØŃدث":125805,"راÙĤ":125806,"ĠÄIJi":125807,"ادر":125808,"ãģĵãģ¨ãĤĤ":125809,"×ij×Ļר":125810,"Ġвз":125811,"ضاÙģ":125812,"ת×ķ׼":125813,"ÑĢом":125814,"رات":125815,"à¹Ģà¸Ĺà¹Īา":125816,"ãģĺãĤĥ":125817,"ãģĿãģĵ":125818,"اجتÙħاع":125819,"à¹īà¸Ńà¸Ļ":125820,"ÙĤÙħ":125821,"본":125822,"Äŀ":125823,"ש×Ļ×ķ":125824,"×ij׳×Ļ":125825,"ìľĦìĽIJ":125826,"à¹ģà¸Ī":125827,"×Ĺ×ķר":125828,"دÙĬÙĨØ©":125829,"تط":125830,"ằm":125831,"òa":125832,"ยà¸Ńà¸Ķ":125833,"Ġëĭ¹":125834,"สุà¸Ĥ":125835,"×ĵר×ļ":125836,"دÙĨ":125837,"سÙĬÙĨ":125838,"ÙĪÙĤÙģ":125839,"ÑĨÑĭ":125840,"гоÑĤов":125841,"еждÑĥ":125842,"à¸ŀวà¸ģ":125843,"اÙĤتص":125844,"اÙĤتصاد":125845,"czÄĻ":125846,"niÄĻ":125847,"ÑĢеб":125848,"ØŃÙĪ":125849,"à¸Ĺà¹Į":125850,"ãĤĪãģŃ":125851,"дж":125852,"à¸ģลà¹Īาว":125853,"دÙĬØ«":125854,"ãĤ³ãĥŁ":125855,"ÙĤÙĪÙħ":125856,"ĠتØŃ":125857,"à¹Ģà¸ķิ":125858,"اÙģظ":125859,"à¸Īุ":125860,"رÙĬاض":125861,"×ŀש×ļ":125862,"à¹Ĥย":125863,"еÑĢе":125864,"ãģ¿ãģŁãģĦ":125865,"ìĿ´ëĿ¼":125866,"ĠاÙĦÙħÙĪ":125867,"ĠÑģÑĤо":125868,"à¹Ģรà¹ĩว":125869,"ĠдеÑĤ":125870,"ĠÑģдел":125871,"à¹Ģà¸Ĭืà¹Īà¸Ń":125872,"פ׳×Ļ":125873,"ÙĪضÙĪع":125874,"×ijס":125875,"à¹ģà¸Ķ":125876,"óc":125877,"ริม":125878,"ÑĢад":125879,"ìĪł":125880,"ãĥ¼ãĤº":125881,"ãģ«ãģĬ":125882,"ино":125883,"פ×Ļ׾":125884,"à¸Ĭัà¹Īà¸Ļ":125885,"×Ĺ×ĵש":125886,"à¹Ģà¸Ļืà¹Īà¸Ńà¸ĩ":125887,"׳×Ļס":125888,"غرب":125889,"ãĤ¸ãĥ£":125890,"สัà¸ĩ":125891,"à¹Ģà¸Ĺีà¹Ī":125892,"à¹Ģà¸Ĺีà¹Īยว":125893,"ëŁ¼":125894,"à¹ģà¸Ł":125895,"ãĥ¼ãĤ·":125896,"ãĥ¼ãĤ·ãĥ§ãĥ³":125897,"Ġвозмож":125898,"جÙħÙĪع":125899,"×ijר×Ļ×Ŀ":125900,"ãĥĪãĥ©":125901,"ĠкаÑĩеÑģÑĤв":125902,"Ø·ÙĬ":125903,"ÑĤÑı":125904,"צ×ķ×¢":125905,"ģını":125906,"عÙĦÙī":125907,"اذ":125908,"ÙĪاÙĤع":125909,"ÙħÙĪا":125910,"ائÙĬÙĦ":125911,"кол":125912,"á»ģm":125913,"à¸ľà¸¥à¸´à¸ķ":125914,"×Ļ׳×ĺר":125915,"سÙĥ":125916,"ש×Ļר":125917,"ศึà¸ģษา":125918,"à¸ļั":125919,"ÑĩаÑģ":125920,"×ķפ×Ķ":125921,"×Ļפ×ķ׾":125922,"ĠاÙĦساب":125923,"رÙĬب":125924,"ĠاÙĦبÙĬ":125925,"ãĤ¹ãĥĨ":125926,"Ñĩен":125927,"à¹ģà¸ľ":125928,"Ġ׳ש":125929,"زÙĬد":125930,"ØŃاد":125931,"ëįĶ":125932,"رÙĪع":125933,"à¸Ĺุà¸Ļ":125934,"สมา":125935,"czeÅĦ":125936,"×Ļ×ĵ×Ķ":125937,"ãģ§ãģĤ":125938,"Ġçocuk":125939,"خب":125940,"à¸ļาย":125941,"à¸Ľà¸£à¸°à¸Ĭา":125942,"×ŀש׾":125943,"ãģªãģĭ":125944,"à¸ģาย":125945,"ãĥģãĥ£":125946,"аÑĢи":125947,"ĠÑĩа":125948,"à¸Ķำ":125949,"à¸Ĺัà¹Īว":125950,"ÑĥÑħ":125951,"Ġöz":125952,"Ġì¢ĭ":125953,"جرÙĬ":125954,"ائÙĤ":125955,"à¸łà¸±à¸¢":125956,"طار":125957,"دارة":125958,"Ä©nh":125959,"Ø«ÙĨ":125960,"zellik":125961,"اÙĦت":125962,"Ġgeli":125963,"ãĥķãĤ©":125964,"олод":125965,"ربع":125966,"שת×ŀש":125967,"à¸ļรร":125968,"íĿ¬":125969,"Ġürün":125970,"Ġê·¸ëłĩ":125971,"ศาสà¸ķรà¹Į":125972,"ãģľ":125973,"×Ļ×ij׾":125974,"ĠпÑĢедÑģÑĤав":125975,"سطÙĬÙĨ":125976,"ãĤĴ使":125977,"ĠпомоÑī":125978,"×ķקר":125979,"ãĥ¯ãĥ¼":125980,"Ġyönet":125981,"×Ļקר":125982,"à¸Ĥา":125983,"еÑĢиал":125984,"ØŃÙģ":125985,"Ġ×Ļצ":125986,"à¸Ĺิ":125987,"売":125988,"à¸Ļà¸Ńà¸ģ":125989,"×ķ׼ר":125990,"íĻľ":125991,"ủy":125992,"ĠاÙĦÙĤر":125993,"×Ļ×ij×ķת":125994,"ÅĽni":125995,"Ùħشار":125996,"ượt":125997,"ĠÙĦدÙĬ":125998,"ÑĤел":125999,"ĠØ¥ÙĦÙĬ":126000,"عÙĦÙĪÙħ":126001,"ìķĺ":126002,"виÑĤ":126003,"à¸Ħะ":126004,"yrı":126005,"ãģ¨ãģ£ãģ¦":126006,"à¹Ģà¸ī":126007,"à¸ĸาม":126008,"ÙĤار":126009,"عÙĦاÙħ":126010,"ặng":126011,"ÙħÙĴ":126012,"×Ļ×ŀת":126013,"سبة":126014,"ãĤ¯ãĥ©":126015,"×ķסף":126016,"ĠпÑĢин":126017,"ãģĦãĤį":126018,"ساس":126019,"عتبر":126020,"วิà¸Ĺย":126021,"วิà¸Ĺยา":126022,"سÙĥر":126023,"ãĤ·ãĥ§":126024,"ãģģ":126025,"ัà¸ģษ":126026,"×ij×ķ×Ķ":126027,"หย":126028,"ãģ¾ãĤĮ":126029,"ĠоÑĢганиз":126030,"казал":126031,"ĠÑģвÑıз":126032,"uyết":126033,"ĠпÑĢоиз":126034,"Ġק×ĺ":126035,"à¹ģà¸ģà¹ī":126036,"пÑĥÑģ":126037,"Ġê·¸ê²ĥ":126038,"ëĬIJ":126039,"лекÑģ":126040,"ãĥ¼ãĥĹ":126041,"à¸ķำ":126042,"ת×Ĺ×Ļ׾":126043,"à¸Ńà¸ĩà¸Ħà¹Į":126044,"ẵ":126045,"׳צ":126046,"أش":126047,"Ø´Ùĩ":126048,"ยะ":126049,"à¸ģà¸İ":126050,"ĠاÙĦإسÙĦاÙħ":126051,"едÑĮ":126052,"ãģ²ãģ¨":126053,"ëıĦë¡Ŀ":126054,"ãģ©ãģ®":126055,"Ñĥв":126056,"еÑĩение":126057,"ĠاÙĦتج":126058,"ãģ«è¡Į":126059,"Ġпозв":126060,"ãĤıãĤĬ":126061,"ÙĦاث":126062,"íķĺìĺĢ":126063,"ĠмаÑĢ":126064,"ĠkonuÅŁ":126065,"ãĥ¬ãĤ¹":126066,"ãĤĴæĮģ":126067,"ĠоÑģнов":126068,"×Ĺ×ij":126069,"ÙĪجÙĪد":126070,"פ×ķף":126071,"воÑĢ":126072,"Ġник":126073,"ãģĭãĤĭ":126074,"ÅŁtırma":126075,"×Ļס×ĺ":126076,"Ø£ÙĦ":126077,"หà¹Į":126078,"иона":126079,"лÑĮн":126080,"ĠгоÑģ":126081,"ĠÐľÐ¾Ñģк":126082,"ÑĢоб":126083,"×ķ×IJ×Ļ":126084,"ãģĬãĤĬãģ¾ãģĻ":126085,"ãģ£ãģ±":126086,"кл":126087,"à¸Ļà¸Ķà¹Į":126088,"رÙĬÙģ":126089,"اسب":126090,"ĠÑĢеÑĪ":126091,"Ġдол":126092,"ãģ¹ãģį":126093,"×Ļ×ij×ķר":126094,"меÑī":126095,"ĠнаÑĪ":126096,"à¹ģà¸Ľà¸¥":126097,"ÑĢиÑĤ":126098,"кÑĥÑģ":126099,"иÑĢа":126100,"аÑĤÑĥÑĢ":126101,"ÙĪاصÙĦ":126102,"à¹Ģà¸ľà¸¢":126103,"à¸Ńำ":126104,"à¹Ģà¸ģิà¸Ļ":126105,"غÙħ":126106,"ãģĻãģİ":126107,"lıkl":126108,"ÅĦsk":126109,"견":126110,"×Ļ׼×Ķ":126111,"×Ĺש×ij":126112,"ÙĪرÙĬØ©":126113,"ĠдейÑģÑĤв":126114,"×Ĺ׾×ĺ":126115,"Ġ׾×ŀ×¢":126116,"צ׾×Ļ×Ĺ":126117,"еÑĩа":126118,"Ùģاع":126119,"×Ĵ×Ļ×ĵ":126120,"áºŃm":126121,"ÄĻb":126122,"شع":126123,"ãģıãĤĬ":126124,"à¸ŀุ":126125,"едеÑĢ":126126,"à¸Ĥà¸Ļ":126127,"à¸Ħาร":126128,"ĠболÑĮÑĪ":126129,"ãģıãģªãĤĬ":126130,"à¸ĵา":126131,"×ĵ×ķ×Ĵ":126132,"Ġмн":126133,"ä¸ĬãģĮ":126134,"ç¶ļãģį":126135,"ฤษ":126136,"à¸Ĩ":126137,"Ø®ÙĬ":126138,"à¹Ģà¸Ĺà¸ŀ":126139,"สัม":126140,"à¹Ģสà¸Ļ":126141,"à¹Ģสà¸Ļà¸Ń":126142,"ãĥ´":126143,"ĠиÑģÑĤ":126144,"باشر":126145,"ĠÑĥÑĢов":126146,"×ŀ×ķ×ĸ":126147,"abı":126148,"waż":126149,"×ķצ×IJ×Ķ":126150,"ÑĤвеÑĢ":126151,"à¸ŀัà¸Ļà¸ĺà¹Į":126152,"׳×Ĵ×ĵ":126153,"ãĤĭãģĵãģ¨ãģĮãģ§ãģį":126154,"ĠÑĤÑĢеб":126155,"à¸ģรุà¸ĩ":126156,"ØŃتاج":126157,"à¹Ģà¸Ħล":126158,"ãĨ":126159,"ÄĻtr":126160,"Ġszczeg":126161,"Ġרש":126162,"à¸Ĺà¸ĺ":126163,"Ġнек":126164,"ĠнекоÑĤоÑĢ":126165,"вÑĪ":126166,"Ь":126167,"à¹Īวย":126168,"ลุ":126169,"бÑĢÑı":126170,"หมูà¹Ī":126171,"à¹ģà¸ķà¸ģ":126172,"ר׼×Ļ×Ŀ":126173,"Ġíĸī":126174,"ãi":126175,"Ùĥرة":126176,"âŃ":126177,"íIJ":126178,"ãį":126179,"áģ":126180,"â®":126181,"â¥":126182,"ì®":126183,"à¿":126184,"â¿":126185,"áĤ":126186,"á¤":126187,"âł":126188,"íŁ":126189,"ðIJį":126190,"ðIJ°":126191,"ðĿĨ":126192,"ðŁĪ":126193,"Ġ×¢×ľ":126194,"ĠعÙĨ":126195,"ĠÙħع":126196,"Ġ×ĸ×Ķ":126197,"ĠÙħا":126198,"ĠmÃł":126199,"Ġdụ":126200,"á»ĩc":126201,"аÑħ":126202,"sı":126203,"íķĺê³ł":126204,"Ġ×ķ×ij":126205,"ĠÐŁÐ¾":126206,"×ķתר":126207,"ĠÙĦÙħ":126208,"Ġ×ķ׾":126209,"ãģĹãģ¦ãģĦãĤĭ":126210,"Ġ×ŀ×Ļ":126211,"ĠبÙĬÙĨ":126212,"за":126213,"ĠÙĥاÙĨ":126214,"Ġ×Ķ×Ļ×Ķ":126215,"ëħĦ":126216,"×IJ×ķ":126217,"ди":126218,"ĠпеÑĢе":126219,"dı":126220,"Ġ׾ש":126221,"Ġש×ŀ":126222,"ãģĮãģĤãĤĭ":126223,"ãģĦãģĦ":126224,"ÑĢе":126225,"ק×ķ":126226,"или":126227,"ме":126228,"ÙĬت":126229,"ãģ§ãģĤãĤĭ":126230,"Ġво":126231,"à¹ĥหม":126232,"à¹ĥหมà¹Ī":126233,"Ġש×ij":126234,"Ġà¹Ĥà¸Ķย":126235,"ÙĬÙĩ":126236,"ãģ§ãģĻãģĮ":126237,"ãģ¨ãģ¯":126238,"ר×ķ":126239,"Ġà¸ĭึà¹Īà¸ĩ":126240,"ãģ§ãģįãĤĭ":126241,"мо":126242,"à¹Ģà¸ŀืà¹Īà¸Ń":126243,"צ×ķ":126244,"×ĺ×ķ":126245,"ìķĪ":126246,"Ġhá»į":126247,"à¹Ģà¸ĩิà¸Ļ":126248,"ĠاÙĦب":126249,"Ġมี":126250,"물":126251,"Ñģе":126252,"ëĵ¤ìĿ´":126253,"Ġë§IJ":126254,"ĠlỼ":126255,"aÅĤ":126256,"×Ĺ×ijר":126257,"Ġdá»±":126258,"ÙĬØ«":126259,"Ġthá»ĭ":126260,"à¸ģà¹Īà¸Ńà¸Ļ":126261,"Ġ×ij׼׾":126262,"ãģ¸":126263,"ãģ¨æĢĿãģĦãģ¾ãģĻ":126264,"ảnh":126265,"ยา":126266,"Ùģا":126267,"สี":126268,"à¸ķา":126269,"ë²ķ":126270,"ãĥªãĥ¼":126271,"ราà¸Ħา":126272,"Ġ×ķ׾×IJ":126273,"ãģ¨ãģĵãĤį":126274,"à¹Ģลืà¸Ń":126275,"diÄŁi":126276,"ÙĪاÙĨ":126277,"Ġ׾×Ķת":126278,"รวม":126279,"פ×Ļ×Ŀ":126280,"à¸ľà¸¡":126281,"жи":126282,"cı":126283,"ÑĢод":126284,"ĠkarÅŁÄ±":126285,"×Ĵ×ķ":126286,"ãģ«ãģ¤":126287,"ãģ«ãģ¤ãģĦãģ¦":126288,"rÃł":126289,"×Ļ×ķתר":126290,"ĠìĨĮ":126291,"ק×Ķ":126292,"ÑģÑĤво":126293,"ãģijãģ©":126294,"gé":126295,"à¸Ķà¹īาà¸Ļ":126296,"çļĦãģ«":126297,"ĠÙĬÙħÙĥÙĨ":126298,"ìĨį":126299,"ÙĬÙĥ":126300,"à¹Ħวà¹ī":126301,"Ñģкий":126302,"ìm":126303,"Ġ׾×IJ×Ĺר":126304,"à¸Ńาหาร":126305,"Ġà¹Ģà¸ŀ":126306,"ราะ":126307,"ลูà¸ģ":126308,"ÑģÑĤа":126309,"Ġìľł":126310,"ÙĤÙĪÙĦ":126311,"боÑĢ":126312,"Ñģкого":126313,"หลัà¸ĩ":126314,"à¸Ĥà¹Īาว":126315,"à¹Ģมืà¸Ńà¸ĩ":126316,"ê°ģ":126317,"tÃł":126318,"ÙĬÙĬÙĨ":126319,"عرض":126320,"ë°©":126321,"ĠëıĻ":126322,"Ġà¹Ģà¸Ľ":126323,"Ġà¹Ģà¸Ľà¹ĩà¸Ļ":126324,"çi":126325,"liÄŁi":126326,"ìĹIJê²Į":126327,"ãĤ¿ãĥ¼":126328,"Ġ×ľ×ª":126329,"פ×ķת":126330,"à¸Ĥà¸Ń":126331,"رس":126332,"ìłIJ":126333,"à¸ľà¹Īาà¸Ļ":126334,"ÑĦи":126335,"جÙĨ":126336,"ì¢ħ":126337,"Ġ×Ķפ":126338,"Ġngo":126339,"á»ĭa":126340,"Ġtá»ķ":126341,"Ġ그리":126342,"à¹Ģมืà¹Īà¸Ń":126343,"Ø°Ùĥر":126344,"ìĸij":126345,"ìĹŃ":126346,"×ĺ׾":126347,"kı":126348,"ĠعÙħÙĦ":126349,"ĠعÙĨد":126350,"à¸ĭืà¹īà¸Ń":126351,"Ġê±°":126352,"ве":126353,"rü":126354,"à¹Ģà¸Ńา":126355,"สà¹Į":126356,"à¸Īà¸Ļ":126357,"סת":126358,"Ġgiả":126359,"ãĤĭãģ¨":126360,"à¸ģำลัà¸ĩ":126361,"ней":126362,"à¸Īริ":126363,"à¸Īริà¸ĩ":126364,"Ġëį":126365,"ĠëįĶ":126366,"à¸Ħà¹Īะ":126367,"ìn":126368,"Ġsüre":126369,"Ġquy":126370,"à¸ļาà¸ĩ":126371,"åıĸãĤĬ":126372,"ר×Ĺ":126373,"×ijת":126374,"ãģĮãģĤãĤĬãģ¾ãģĻ":126375,"רש":126376,"ìĹIJëĬĶ":126377,"Ġ×IJפשר":126378,"ayı":126379,"ãģĮãĤī":126380,"ØŃب":126381,"анÑģ":126382,"سÙĪ":126383,"ĠпÑĢе":126384,"دÙĪ":126385,"ãģ«ãĤĪ":126386,"à¹Ģà¸ģม":126387,"สูà¸ĩ":126388,"makt":126389,"maktad":126390,"maktadır":126391,"Ġönem":126392,"×Ļ×ŀ×Ļ×Ŀ":126393,"бо":126394,"ÙĪÙĬØ©":126395,"à¸£à¸¹à¸Ľ":126396,"à¹Ĥลà¸ģ":126397,"ÙħÙĬع":126398,"ÑģÑĤÑĥп":126399,"à¹Ĥà¸Ń":126400,"دÙĬÙĨ":126401,"ì¤ij":126402,"ãģĹãģı":126403,"à¹Ģสีย":126404,"вÑĭ":126405,"Ùħت":126406,"íĺĦ":126407,"ãĥIJãĥ¼":126408,"اش":126409,"קס":126410,"Ġtụ":126411,"ลà¸Ķ":126412,"ÙģØ©":126413,"íijľ":126414,"رج":126415,"kÅĤad":126416,"ĠÅŁey":126417,"ĠØ£Ùħ":126418,"Ġà¹Ģม":126419,"ĠبÙĦ":126420,"ÑģкаÑı":126421,"ãģ¨ãģ®":126422,"Ġìĭ¤":126423,"ấm":126424,"หà¹īà¸Ńà¸ĩ":126425,"à¸Ĭม":126426,"dü":126427,"Ġçek":126428,"Ġê³ł":126429,"×Ĵ×ij":126430,"à¸Ĭีวิ":126431,"à¸Ĭีวิà¸ķ":126432,"ÙģضÙĦ":126433,"ฯ":126434,"çı":126435,"Ġبش":126436,"ĠÙĩÙĨا":126437,"ãģįãģ¾ãģĹãģŁ":126438,"tü":126439,"Ġìĺģ":126440,"ĠTürk":126441,"кÑĤ":126442,"פרס":126443,"ãģ¨ãģĦãģĨãģĵãģ¨":126444,"íĶĦ":126445,"à¹ģรà¸ģ":126446,"ר×ķף":126447,"Ġaras":126448,"×ŀצ×IJ":126449,"Ġtá»ī":126450,"سا":126451,"à¸ŀà¸Ń":126452,"ĠاÙĦÙħØŃ":126453,"ãĥ¤":126454,"ĠاÙĦاست":126455,"ÙģÙĨ":126456,"×Ļ×ŀ×Ķ":126457,"رت":126458,"ãģ¨ãĤĤ":126459,"ĠнаÑģ":126460,"пÑĢи":126461,"Ġ×Ĺ×ķ":126462,"ила":126463,"ÙĬØ´":126464,"Ġgöz":126465,"Ġ×ij׳×Ļ":126466,"ımı":126467,"ĠÑĤеÑħ":126468,"Ġhá»Ļ":126469,"غر":126470,"кон":126471,"اØŃت":126472,"Ġà¸ŀ":126473,"à¸Ńà¸Ńà¸Ļ":126474,"à¸Ńà¸Ńà¸Ļà¹Ħล":126475,"à¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļà¹Į":126476,"Ñħо":126477,"Ñıв":126478,"à¹ģสà¸Ķ":126479,"à¹ģสà¸Ķà¸ĩ":126480,"à¹Ģà¸ŀียà¸ĩ":126481,"ÑĤов":126482,"اÙĬ":126483,"Ġ×Ķ×ĵ":126484,"Ġ×ķ׼":126485,"ãĤīãģĦ":126486,"×ķפף":126487,"Ġë¶Ī":126488,"ลà¸Ńà¸ĩ":126489,"طاÙĦ":126490,"Ġни":126491,"ĠÙħست":126492,"ếc":126493,"Ġש׼":126494,"ĠëķĮ문":126495,"วัà¸Ļà¸Ĺีà¹Ī":126496,"×Ļ׾×ĵ":126497,"ØŃا":126498,"еÑĨ":126499,"Ġcứ":126500,"×ĵ×ķר":126501,"ĠÙħØŃ":126502,"ר׼×ij":126503,"بÙĬع":126504,"нии":126505,"ĠاÙĦØ£ÙĪÙĦ":126506,"à¸Ħวร":126507,"ãģ¨æĢĿãģĨ":126508,"ĠСо":126509,"ائÙĬØ©":126510,"راء":126511,"оÑģоб":126512,"ĠبأÙĨ":126513,"×¢×ķ×ĵ":126514,"ĠÑĤе":126515,"ãģĵãģĨ":126516,"ÑģÑĤÑĢа":126517,"айн":126518,"Ġsöz":126519,"تÙĨا":126520,"à¸Ńิ":126521,"ặp":126522,"ĠìķĦëĭĪ":126523,"íķŃ":126524,"Ġר×IJש":126525,"Ġà¹Ħà¸Ķà¹ī":126526,"Ġ×Ĵ×ĵ":126527,"Ġספר":126528,"обÑīе":126529,"ĠÙĪØ¥":126530,"adaÅŁ":126531,"ãģ¡ãĤĩ":126532,"ק×ķ׾":126533,"ÑĢез":126534,"ĠdÃ¼ÅŁÃ¼n":126535,"Ġ×ij×IJ×ŀ":126536,"Ġìĸ´ëĸ":126537,"ער×ij":126538,"нее":126539,"ĠÑģÑĤÑĢан":126540,"ساÙĨ":126541,"ynı":126542,"ĠاÙĦرئÙĬس":126543,"ãģĹãģª":126544,"Ġ×ł×ª":126545,"ãģ«ãģªãģ£ãģŁ":126546,"gü":126547,"åıĹãģij":126548,"×ľ×ª":126549,"ìłĪ":126550,"ëĬĶëį°":126551,"Ø®ÙĬر":126552,"à¸ķà¹īà¸Ńà¸ĩà¸ģาร":126553,"ĠÙĦØ£ÙĨ":126554,"Ġchá»ĭ":126555,"ÙĪØ©":126556,"à¹ĥส":126557,"ë¶ĢíĦ°":126558,"íķĺë©´":126559,"ữu":126560,"à¹Ģหมืà¸Ńà¸Ļ":126561,"беÑĢ":126562,"ĠìĿ´ìļ©":126563,"ĠÑģеб":126564,"wiÄĻks":126565,"Ġ×ł×¢":126566,"ÑĤÑĥÑĢ":126567,"ĠnghÄ©":126568,"ש×ķ×ĺ":126569,"tiÄŁi":126570,"ĠdeÄŁi":126571,"×IJ×ij":126572,"Ġ×ŀ×ŀ":126573,"ãĥĹãĥŃ":126574,"waÅĤ":126575,"à¸Īึà¸ĩ":126576,"خدÙħ":126577,"×IJ×Ŀ":126578,"Ä±ÅŁÄ±":126579,"czÄħ":126580,"ר×ĵ":126581,"ĠÑĢÑĥб":126582,"خرÙī":126583,"ãģ®æĸ¹":126584,"ĠденÑĮ":126585,"×Ĺ×Ļ×Ŀ":126586,"еÑĤе":126587,"ëĤľ":126588,"×IJ×Ĵ":126589,"×¢×ķר":126590,"ë³Ħ":126591,"åIJĮãģĺ":126592,"ãĤ²":126593,"ר×ļ":126594,"×ķש×IJ":126595,"ìľ¡":126596,"اخ":126597,"צ×Ļ×Ķ":126598,"á»±a":126599,"ãģĪãģ¦":126600,"ש×Ķ×ķ":126601,"анÑĤ":126602,"ลาà¸Ķ":126603,"инг":126604,"ë¡ł":126605,"اعد":126606,"ÙĪسط":126607,"Ġвоп":126608,"ĠвопÑĢоÑģ":126609,"ÙħÙĬÙĨ":126610,"à¸Ħà¸ĩ":126611,"×Ļר×Ļ×Ŀ":126612,"ców":126613,"격":126614,"Ġê·¸ëŁ°":126615,"Ġì§Ħ":126616,"Ġש׾×Ķ":126617,"à¹Ģริà¹Īม":126618,"à¸Ĭà¸Ńà¸ļ":126619,"деÑĤ":126620,"ÑİÑīиÑħ":126621,"à¸ļà¸Ńà¸ģ":126622,"æĢĿãģĦ":126623,"عÙĬد":126624,"ס×ŀ":126625,"×Ĵ×Ļ×¢":126626,"צ×ĵ":126627,"بات":126628,"ĠëĶ°ëĿ¼":126629,"à¸Īัà¸ĩ":126630,"ãģłãģijãģ§":126631,"×¢×Ļר":126632,"ĠÑĩел":126633,"ĠÑĩелов":126634,"ĠÑĩеловек":126635,"ãĥĥãĥģ":126636,"à¹Ģà¸ģีà¹Īยว":126637,"à¸Ķิ":126638,"Ġפע":126639,"×Ļ×ŀ×Ļ":126640,"ë°ĺ":126641,"خار":126642,"×ij×Ļת":126643,"×¢×Ļ×Ŀ":126644,"üyor":126645,"ãĤģãģ¦":126646,"клад":126647,"Ġà¸Īาà¸ģ":126648,"à¹Ģà¸Ħย":126649,"สà¸Ńà¸ĩ":126650,"à¹ģà¸Ħà¹Ī":126651,"ẫu":126652,"หà¸Ļัà¸ĩ":126653,"ש׾×ķ×Ŀ":126654,"اÙĨÙĬØ©":126655,"åĩºä¼ļ":126656,"åĩºä¼ļãģĦ":126657,"à¸łà¸²à¸¢":126658,"à¸ļาà¸Ĺ":126659,"à¸Ĭาว":126660,"muÅŁ":126661,"Ġ׾ק×ij׾":126662,"ãĤ·ãĥ£":126663,"ĠÄ°ÅŁ":126664,"×Ĵ×ĵ×ķ׾":126665,"جعÙĦ":126666,"ë³Ģ":126667,"ยิà¹Īà¸ĩ":126668,"à¸Ļาย":126669,"à¸Ļีà¹Ī":126670,"วิà¸ĺี":126671,"ãĤīãģªãģĦ":126672,"ëłĪ":126673,"Ġë¬¸ìłľ":126674,"Ġà¸ģ":126675,"à¸Ĺำà¸ĩาà¸Ļ":126676,"à¹Ģวà¹ĩà¸ļ":126677,"ÑĦе":126678,"楽ãģĹ":126679,"สำà¸Ħ":126680,"สำà¸Ħัà¸į":126681,"رÙħ":126682,"ãģķãĤĮãģ¦":126683,"Ġобла":126684,"ר×IJ×Ļ":126685,"หมà¸Ķ":126686,"ÙĨÙĬØ©":126687,"лин":126688,"ĠeÄŁ":126689,"itim":126690,"ëł¹":126691,"صاÙĦ":126692,"ÅĽl":126693,"à¸ľà¸´à¸Ķ":126694,"ãĥŀãĥ³":126695,"åħ¥ãĤĮ":126696,"à¹Ģà¸ķà¸Ńรà¹Į":126697,"ارÙĬ":126698,"ĠЦ":126699,"dür":126700,"สวย":126701,"립":126702,"رÙĥØ©":126703,"Ġhã":126704,"×Ļת×Ķ":126705,"à¸Ĥà¸Ļา":126706,"à¸Ĥà¸Ļาà¸Ķ":126707,"à¸Īำà¸Ļ":126708,"à¸Īำà¸Ļวà¸Ļ":126709,"ש×ķק":126710,"Ġдом":126711,"ì±ħ":126712,"ãģĭãģij":126713,"פ×ķ׾":126714,"à¸Ĭาย":126715,"ÑģмоÑĤÑĢ":126716,"ÑģлÑĥж":126717,"ש×IJ׾":126718,"кÑĢÑĭÑĤ":126719,"Ġìŀĺ":126720,"é«ĺãģĦ":126721,"ĠÑĢÑĥк":126722,"ÙĨص":126723,"дав":126724,"ưỡ":126725,"ưỡng":126726,"راÙħ":126727,"×Ļ׳×Ļ×Ŀ":126728,"ãĥ©ãĥ¼":126729,"ëĦ¤":126730,"Ġتع":126731,"lke":126732,"好ãģį":126733,"æĮģãģ¡":126734,"Ġë§İ":126735,"Ġyük":126736,"ĠÑģоÑģÑĤав":126737,"енÑĤÑĢ":126738,"peÅĤ":126739,"à¹Ģà¸Ľà¸¥à¸µà¹Īย":126740,"à¹Ģà¸Ľà¸¥à¸µà¹Īยà¸Ļ":126741,"íıī":126742,"ãĤĦãģĻ":126743,"×Ĺ×ĸ":126744,"×ijר×Ķ":126745,"루":126746,"ìĶĢ":126747,"بØŃØ«":126748,"à¹Ģà¸ķà¹ĩ":126749,"ówi":126750,"بÙĩ":126751,"ãģįãģ¾ãģĻ":126752,"Ġ×¢×ŀ":126753,"×Ĵ×ķ׾":126754,"езд":126755,"ÙĬÙģØ©":126756,"สà¸Ļà¹ĥà¸Ī":126757,"Ġ×ª×ľ":126758,"ÑıÑī":126759,"ĠسÙĨ":126760,"ĠÙĪاØŃد":126761,"ĠÑģм":126762,"ladı":126763,"ıld":126764,"×Ļרת":126765,"ียà¸Ļ":126766,"ת×Ĺת":126767,"Ġжиз":126768,"à¸ŀั":126769,"à¸ŀัà¸Ĵ":126770,"à¸ŀัà¸Ĵà¸Ļา":126771,"à¸Ĭิ":126772,"اخÙĦ":126773,"ãģ£ãģ¦ãģĦãģŁ":126774,"รัà¸IJ":126775,"ãĤģãĤĭ":126776,"à¹Ĥà¸ģ":126777,"ĠTá»ķ":126778,"Ġhakk":126779,"رÙģ":126780,"ìłĢ":126781,"Ñģоб":126782,"ãģªãģijãĤĮãģ°":126783,"ÙĩÙĪ":126784,"Ġë²ķ":126785,"ãĤĨ":126786,"ĠاÙĦسعÙĪد":126787,"Ġ×IJתר":126788,"اغ":126789,"Ġ׾×ĵ":126790,"à¹ģà¸ķ":126791,"à¹ģà¸ķà¹Īà¸ĩ":126792,"íĮĮ":126793,"ÑĥпиÑĤÑĮ":126794,"à¸ŀืà¹īà¸Ļà¸Ĺีà¹Ī":126795,"×ijת×Ļ":126796,"à¹ĩà¸ģ":126797,"ÅĤat":126798,"Ġê°ľìĿ¸":126799,"ìłķë³´":126800,"ÑĤал":126801,"Ġgüven":126802,"ĠÄ°l":126803,"Ġê°ģ":126804,"Ġبت":126805,"×ŀ×ķ׳×Ķ":126806,"ĠاÙĦØŃÙĥÙĪÙħ":126807,"ÙĤات":126808,"à¹ģà¸ģà¹Ī":126809,"หาà¸ģ":126810,"нÑĮ":126811,"à¸Ľà¸£à¸±à¸ļ":126812,"มาà¸ĵ":126813,"ĠнеÑģк":126814,"Ġض":126815,"สมั":126816,"สมัà¸Ħร":126817,"ãģĮãģĤãĤĬ":126818,"меÑģÑĤ":126819,"Ġ×IJצ׾":126820,"Ġкомпани":126821,"סר":126822,"ÙĬÙħØ©":126823,"ĠÑħоÑĢо":126824,"ĠÑħоÑĢоÑĪ":126825,"Ġ×Ļ×ķ×ĵ":126826,"üs":126827,"×Ĵ×Ļש":126828,"à¸ļà¸Ĺ":126829,"تÙĨظ":126830,"วาà¸ĩ":126831,"มหา":126832,"Ġ׼×ķ׾":126833,"à¸Ĥà¹īาà¸ĩ":126834,"ë°ľ":126835,"год":126836,"дан":126837,"ãģĭãĤĤãģĹãĤĮãģ¾ãģĽãĤĵ":126838,"ãģĵãģ¡ãĤī":126839,"ãĥIJãĤ¤":126840,"eceÄŁi":126841,"دÙĬدة":126842,"ÙĨÙī":126843,"Ġëĭ¤ìĿĮ":126844,"วี":126845,"غا":126846,"лиз":126847,"à¹Ģà¸Ķิ":126848,"à¹Ģà¸Ķิม":126849,"ĠÙĬست":126850,"Ġyılı":126851,"koÅĦ":126852,"ãģ§ãģĹãĤĩãģĨãģĭ":126853,"ãģĤãģª":126854,"ãģĤãģªãģŁ":126855,"ÑĨен":126856,"ĠÙĪز":126857,"×IJ×Ļש":126858,"à¹Īà¸Ń":126859,"رØŃ":126860,"ê´ij":126861,"ÑĢаÑģÑĤ":126862,"Ġ×Ķ׾":126863,"ãģĹãģ¦ãĤĤ":126864,"×ŀר׼":126865,"×ŀר׼×ĸ":126866,"éģķãģĦ":126867,"ãģŁãģı":126868,"ĠÑģÑĥд":126869,"веÑģÑĤи":126870,"ĠíķĦìļĶ":126871,"ãĥķãĤ§":126872,"ÑĤелÑĮно":126873,"à¹Ģà¸ŀืà¹Īà¸Ńà¸Ļ":126874,"ÅĤuż":126875,"à¹Ģà¸Ķิà¸Ļà¸Ĺาà¸ĩ":126876,"ש×ķר":126877,"Ġ×ŀ×ĵ":126878,"×ķ×¢×ľ":126879,"ÙĦاÙħ":126880,"à¹Ħà¸ĭ":126881,"лей":126882,"кÑĥÑĢ":126883,"Ả":126884,"à¸Ĺาà¸Ļ":126885,"ì§ij":126886,"ĠгоÑĢод":126887,"רס":126888,"׾×ķ×Ĵ":126889,"masını":126890,"ĠлÑĥÑĩ":126891,"ลà¹Īา":126892,"ìļ¸":126893,"ש×ĺ":126894,"ĠÐĺн":126895,"íĤ¤":126896,"ÙĪÙĦا":126897,"ìķł":126898,"ĠØ£ÙĬضا":126899,"Ùĥار":126900,"ĠاÙĦتع":126901,"สูà¹Ī":126902,"ãĤ¼":126903,"×ij×Ļ×IJ":126904,"ยà¸ģ":126905,"ĠØŃÙĤ":126906,"ربÙĬ":126907,"ãģĺãĤĥãģªãģĦ":126908,"รัà¸ģษา":126909,"ÑħодиÑĤ":126910,"à¸ķà¸Ńà¸ļ":126911,"׳×ĺ×Ļ":126912,"ĠاÙĦÙħج":126913,"تÙħع":126914,"оваÑĤÑĮ":126915,"ÙĦÙĬÙĨ":126916,"×Ļ×ŀ×ķת":126917,"Ġmù":126918,"nÄĻ":126919,"ĠدÙĬ":126920,"׼ש×Ļ×ķ":126921,"Ġhiç":126922,"ëijIJ":126923,"ÙĪاء":126924,"ÙĪØ·":126925,"ĠاÙĦبÙĦ":126926,"à¹ģมà¹ī":126927,"ק×ķת":126928,"ÙĪجد":126929,"å§ĭãĤģ":126930,"ÙĬئة":126931,"Ġ매":126932,"صبØŃ":126933,"פ×IJ":126934,"гоÑĢ":126935,"ס×Ķ":126936,"بÙĬÙĤ":126937,"ยาà¸ģ":126938,"Ġнад":126939,"ÙĬÙij":126940,"ĠبÙĪ":126941,"ס×ķר":126942,"ÙħÙĥاÙĨ":126943,"ר×ij":126944,"×Ĵ×ĸ":126945,"צת":126946,"bilit":126947,"лаг":126948,"ĠNgo":126949,"×IJ×ķר":126950,"à¸ķà¸Ļ":126951,"íĬ¹":126952,"à¸Ĺีà¹Īà¸Ķี":126953,"à¸Ľà¸£à¸°à¸Īำ":126954,"ование":126955,"ãģĦãģ¤":126956,"ãĥĥãĤ¯ãĤ¹":126957,"åIJĪãĤı":126958,"åIJĪãĤıãģĽ":126959,"×Ļ׳×ķ×Ļ":126960,"ạy":126961,"Ø«ÙĤ":126962,"ĠпÑĢоб":126963,"ĠпÑĢоблем":126964,"ÅŁeh":126965,"ÅŁehir":126966,"عادة":126967,"اÙĨÙĪÙĨ":126968,"à¸ķัวà¹Ģà¸Ńà¸ĩ":126969,"ì¶ķ":126970,"ılan":126971,"бан":126972,"ãĥ³ãĥī":126973,"à¸Īี":126974,"Ġ×Ķש׳×Ļ":126975,"поÑĤ":126976,"×ķ׾×Ļ×Ŀ":126977,"ลัà¸ļ":126978,"ĠÑįÑĤи":126979,"×ijקש":126980,"ë¹ĦìĬ¤":126981,"à¸Ńยà¹Īาà¸ĩà¹Ħร":126982,"×Ļ׾×Ļ":126983,"à¹ĥà¸Ĭà¹Ī":126984,"ĠاÙĦÙĥÙĦ":126985,"ãĥļãĥ¼ãĤ¸":126986,"صة":126987,"ÑĤиÑĢ":126988,"ãĤĵãģ©":126989,"зÑĭк":126990,"wyż":126991,"ÙĩÙĬ":126992,"ĠÙħÙĦÙĬ":126993,"Ġвиде":126994,"ظاÙħ":126995,"داÙĪÙĦ":126996,"×ŀת×Ļ":126997,"Ġsık":126998,"à¹Ģà¸ķิม":126999,"ãĤ¢ãĤ¤":127000,"каÑħ":127001,"צ×Ļ׾":127002,"à¹Ģà¸Ĭà¹Īà¸Ļ":127003,"маг":127004,"магаз":127005,"магазин":127006,"à¸Ľà¸±":127007,"à¸Ľà¸±à¸Ī":127008,"Ġש×Ļר×ķת":127009,"ียม":127010,"ãĥĸãĥ«":127011,"ĠدÙĪÙĦ":127012,"קר×Ļ×Ŀ":127013,"ÙĩÙı":127014,"ово":127015,"Ġüret":127016,"دÙĪÙĨ":127017,"à¹ģà¸Ļว":127018,"à¹Ģà¸Ļืà¹īà¸Ń":127019,"ĠÑĦоÑĤ":127020,"ãĥĺ":127021,"ãģ¤ãģĭ":127022,"ÑıÑģ":127023,"ĠíķĺëĤĺëĭĺ":127024,"ائع":127025,"ĠплаÑĤ":127026,"ìĺĪ":127027,"ĠdostÄĻp":127028,"ÙĪجÙĩ":127029,"Ġ×Ķ×Ĺ×Ļ":127030,"׳×Ļק":127031,"дей":127032,"íĽĦ":127033,"ıy":127034,"بØŃر":127035,"à¹Ģสริม":127036,"Ġ׾×Ĵ":127037,"Ø°Ùĩب":127038,"جÙĬÙĦ":127039,"رÙĥز":127040,"Ġëħ":127041,"Ġëħ¸":127042,"פ×Ļ׾×ķ":127043,"ãģ¾ãģļ":127044,"iriÅŁ":127045,"ĠÙĥÙĬÙģ":127046,"Ġ×ijצ":127047,"ĠêµIJ":127048,"ÑĢоÑģÑģ":127049,"ĠØ´ÙĬ":127050,"Ġiçer":127051,"×Ĵ×ķ×ij×Ķ":127052,"менно":127053,"×¢×ij×Ļר":127054,"×ķ×ŀ×Ķ":127055,"ãĤīãģĹãģĦ":127056,"ãģ¼":127057,"Ñīин":127058,"è²·ãģĦ":127059,"جÙħÙĪعة":127060,"Ġdönem":127061,"Ġ×ij×IJר":127062,"веÑģÑĤ":127063,"×ķר×ķת":127064,"سÙģ":127065,"à¹ģà¸Ĺà¸Ļ":127066,"ĠдокÑĥменÑĤ":127067,"ĠاÙĬ":127068,"جاÙĨ":127069,"צ×ķ×¢×Ļ":127070,"ĠоÑģоб":127071,"ĠاÙĦÙħس":127072,"ÑĢаб":127073,"à¸łà¸¹":127074,"à¸Ķาว":127075,"лекÑĤ":127076,"عÙĤ":127077,"×ķ×ĵ×ķת":127078,"Ġolu":127079,"ĠoluÅŁtur":127080,"ãģ¾ãģ¾":127081,"един":127082,"à¹Ģà¸Ńà¸ģ":127083,"ãĤµãĤ¤":127084,"ëĦĪ":127085,"Ø·ÙĨÙĬ":127086,"Ø·ÙĤØ©":127087,"ĠÐłÐ°Ð·":127088,"ÙĦÙij":127089,"Ñĩем":127090,"Ġ׾×ĺ":127091,"สัà¹Īà¸ĩ":127092,"سرائÙĬÙĦ":127093,"Ġפר×ĺ×Ļ":127094,"деÑģÑĮ":127095,"Ġ׳׼":127096,"اÙĨب":127097,"ÙĬاة":127098,"Ùħبر":127099,"Ġkı":127100,"à¸Ľà¸ı":127101,"à¸Ľà¸ıิ":127102,"à¸ļัà¸ķิ":127103,"×ł×ª×Ļ":127104,"ìĨ¡":127105,"راب":127106,"à¹ĥà¸ķ":127107,"à¹ĥà¸ķà¹ī":127108,"×Ļ×ł×ª":127109,"ÙĪÙĬر":127110,"Ġ×Ķ×ŀ×Ļ":127111,"ейÑĩаÑģ":127112,"ק×ķ×ij":127113,"دراس":127114,"ĠÙħÙĤ":127115,"رÙĬÙĨ":127116,"خاص":127117,"ãģĬéĩij":127118,"Ġجدا":127119,"ãģĨãģ¡":127120,"ëħ¸":127121,"ırım":127122,"æ§ĺ":127123,"ãģ«å¯":127124,"ãģ«å¯¾":127125,"ÑĨев":127126,"Ġvard":127127,"ĠÐIJн":127128,"eÄŁ":127129,"ÑģÑĤвенно":127130,"Ш":127131,"سد":127132,"à¸ģุ":127133,"à¹ģà¸ľà¸Ļ":127134,"รูà¹īส":127135,"รูà¹īสึà¸ģ":127136,"اتØŃاد":127137,"ÑijÑĤ":127138,"×Ĺ×ķק":127139,"ãģĻãģIJ":127140,"Ø·ÙĦاÙĤ":127141,"Ġק×ķ×ĵ":127142,"à¹ĥà¸Ĭà¹īà¸ĩ":127143,"à¹ĥà¸Ĭà¹īà¸ĩาà¸Ļ":127144,"ãĥ¼ãĤ¿":127145,"Ġsür":127146,"ÑĢок":127147,"ë³ij":127148,"สมาà¸Ĭ":127149,"สมาà¸Ĭิà¸ģ":127150,"ãĥķãĥ¬":127151,"è¾¼ãģ¿":127152,"ãĤ»ãĥ³":127153,"Ġê°Ģì§Ģ":127154,"à¸ľà¹īา":127155,"ÑįÑĤомÑĥ":127156,"иÑĤел":127157,"à¸łà¸±":127158,"à¸ij":127159,"ãĥĸãĥ©":127160,"×Ľ×ª×ķ×ij":127161,"׳×Ŀ":127162,"еннÑĭе":127163,"×¢×¨×Ľ×ª":127164,"ĠìĤ":127165,"ĠìĤ´":127166,"à¸Ĥà¹īา":127167,"׳×ķס":127168,"ãĥ¬ãĥĵ":127169,"ÑĢеÑģ":127170,"à¹Ģลà¸Ĥ":127171,"ثاÙĦ":127172,"ìĹĨ":127173,"ĠÑĩаÑģÑĤ":127174,"าศ":127175,"ãĥªãĤ¢":127176,"uç":127177,"×Ļ׼×ķת":127178,"ลà¹īาà¸Ļ":127179,"ië":127180,"ãĤ¸ãĤ§":127181,"à¸Īà¸Ń":127182,"ÙĪØŃد":127183,"×Ļצ×ķ×ij":127184,"Ġ×ijש׾":127185,"око":127186,"ضة":127187,"ذر":127188,"ĠÑĥд":127189,"Ä°L":127190,"×ķצ×Ļ×Ŀ":127191,"×ĸ×ŀף":127192,"à¸Ľà¸ģ":127193,"íķĻêµIJ":127194,"ساÙħ":127195,"à¹Ħà¸Ķ":127196,"ละà¹Ģà¸Ń":127197,"ละà¹Ģà¸Ńีย":127198,"ละà¹Ģà¸Ńียà¸Ķ":127199,"ảy":127200,"аÑĨион":127201,"ãĤ¹ãĤ¯":127202,"פ×ķס":127203,"รà¹Īาà¸ĩ":127204,"еннÑĭй":127205,"عÙĨ":127206,"عÙĦÙĨ":127207,"ائÙģ":127208,"dÄĻ":127209,"ؤÙĪÙĦ":127210,"׾×ķ×ķ":127211,"Ġ×ijש×ij":127212,"ä»ĬåĽŀ":127213,"ĠاÙĦجÙĨ":127214,"داد":127215,"waÄĩ":127216,"ãĥªãĥ³":127217,"ĠìŀIJìĭł":127218,"اÙĨÙĬا":127219,"ãĥ¡ãĥª":127220,"ÙĦÙĪÙĨ":127221,"à¸Ĺà¹Īà¸Ńà¸ĩ":127222,"à¸Ĺà¹Īà¸Ńà¸ĩà¹Ģà¸Ĺีà¹Īยว":127223,"اÙģÙĬ":127224,"ĠлиÑĪ":127225,"ÙħÙĬØ©":127226,"оÑĤвеÑĤ":127227,"Ñĩин":127228,"ÃĬ":127229,"ãĥ¡ãĥ³":127230,"å®Ł":127231,"éļĽãģ«":127232,"ĠÑĢай":127233,"ãĤ¦ãĥ³":127234,"×Ļר×ķש":127235,"×Ļר×ķש׾×Ļ×Ŀ":127236,"มะ":127237,"Ġara":127238,"казаÑĤÑĮ":127239,"à¸ķัà¸Ķ":127240,"ÑĥÑİÑĤ":127241,"Ġüst":127242,"×Ĵ×ķ×ij":127243,"×Ĵ×ķ×ij×ķת":127244,"malı":127245,"егод":127246,"егоднÑı":127247,"اÙģÙĤ":127248,"à¸Ĭà¹Īà¸Ńà¸ĩ":127249,"Ġözellik":127250,"×Ļצ×ķר":127251,"ĠmiÄĻd":127252,"ĠiliÅŁ":127253,"ĠнаÑħод":127254,"×¢×ĸר":127255,"×ľ×Ľ×ª":127256,"ÙĨتاج":127257,"ĠÑģем":127258,"à¸Īà¹Īาย":127259,"à¸ķรว":127260,"à¸ķรวà¸Ī":127261,"פר×ķ":127262,"à¸Ĥัà¸ļ":127263,"ãģŀ":127264,"Ġпло":127265,"колÑĮ":127266,"×ŀ×¢×ĺ":127267,"íķĺìĭľ":127268,"jÄħce":127269,"ÙĨاÙĨ":127270,"ลีà¸ģ":127271,"нÑĥÑĤ":127272,"ĠобÑĢаз":127273,"Ùĥبر":127274,"ĠاÙĦÙĪØ·ÙĨ":127275,"ãģķãģĽãģ¦":127276,"ÙĤاء":127277,"×ŀ×ĵ×Ļ׳":127278,"yü":127279,"פ×Ļת":127280,"׳×ķף":127281,"ÙħÙĨظ":127282,"หà¸Ļัà¸ģ":127283,"ìŀĪ":127284,"ãĤ«ãĥ¼ãĥī":127285,"عÙĨÙĬ":127286,"под":127287,"ضاء":127288,"à¸Ļà¸ķà¹Į":127289,"×ŀשפ":127290,"วà¹Į":127291,"ר×ķק":127292,"สืà¹Īà¸Ń":127293,"פק×Ļ×ĵ":127294,"ãģªãĤīãģªãģĦ":127295,"ĠìŬ룬":127296,"ÙĦج":127297,"ÑīиÑĤ":127298,"ãĥĥãĤ·":127299,"ÙĦÙĬس":127300,"ĠÙĦÙħا":127301,"ìłij":127302,"×ij×Ļף":127303,"ãĥģãĤ§":127304,"Ġgüç":127305,"Ġchứ":127306,"×ķצ×IJ":127307,"קר×ij":127308,"à¹Ĥà¸ŀ":127309,"оÑĩно":127310,"סק×Ļ":127311,"ש׾×Ŀ":127312,"صرÙģ":127313,"ĠLÃł":127314,"×¢×Ļת":127315,"á»·":127316,"à¹Ĥà¸Ńà¸ģ":127317,"à¹Ĥà¸Ńà¸ģา":127318,"à¹Ĥà¸Ńà¸ģาส":127319,"Ġ×Ķ×ĵ×ijר":127320,"à¸Ļัà¹Īà¸Ļ":127321,"زر":127322,"нако":127323,"íļį":127324,"ãĤĤãģ¡":127325,"ãĤĤãģ¡ãĤį":127326,"ãĤĤãģ¡ãĤįãĤĵ":127327,"اÙħت":127328,"عداد":127329,"инÑĭ":127330,"ÅĤyw":127331,"à¸Ħà¸ĵะ":127332,"à¸Ĺะ":127333,"ktör":127334,"×Ļ×Ĺ×Ķ":127335,"Ġме":127336,"ĠмеÑģÑı":127337,"׳×Ķ×Ĵ":127338,"ĠÑģÑĥÑīеÑģÑĤв":127339,"à¸Ļัà¸Ļ":127340,"ÑĦÑĦ":127341,"екÑĤив":127342,"عÙĦÙĪÙħات":127343,"бÑĥд":127344,"à¸Ļัà¸ģà¸ĩาà¸Ļ":127345,"หà¸Ļà¹īาà¸Ĺีà¹Ī":127346,"ÙĤÙĬÙĤ":127347,"ãĤ·ãĥ³":127348,"ãģ«éĸ¢":127349,"×IJר×Ĵ":127350,"ĠпÑĢоÑĤ":127351,"ĠпÑĢоÑĤив":127352,"ĠìŀĪìĸ´":127353,"ÙĤÙĬÙĤØ©":127354,"ìĹĩ":127355,"kür":127356,"ãģ«ãģªãĤĬãģ¾ãģĹãģŁ":127357,"ĠдеÑıÑĤ":127358,"ĠдеÑıÑĤелÑĮ":127359,"פ×ķר×ĺ":127360,"à¸Łà¹īา":127361,"à¹Ģà¸ł":127362,"ĠавÑĤомаÑĤ":127363,"×ĸ×Ļק":127364,"Ġolduk":127365,"عاÙħ":127366,"ĠÑĤоÑĢ":127367,"yrıca":127368,"êÌ":127369,"ãĤŃãĥ³ãĤ°":127370,"ãģ«ãģ¨ãģ£ãģ¦":127371,"à¹Ģà¸īà¸ŀ":127372,"à¹Ģà¸īà¸ŀาะ":127373,"ãģ¯ãģļ":127374,"×ŀ×IJ×Ļ":127375,"สะà¸Ķ":127376,"สะà¸Ķวà¸ģ":127377,"ìľ¼ë©°":127378,"à¸ģี":127379,"ฬ":127380,"Ġ×¢×ķש":127381,"à¸łà¸²à¸©à¸²":127382,"à¸Ĺัà¸Ļ":127383,"acakt":127384,"acaktır":127385,"اعدة":127386,"ĠÑĥÑģлÑĥг":127387,"סר×ĺ":127388,"×ķ×ŀ×ķת":127389,"×Ķ×ķר":127390,"×ŀ×ķ×ij":127391,"×ŀ×ķ×ijף":127392,"سÙĬاس":127393,"اتÙģاÙĤ":127394,"×Ķצ׾":127395,"Ùħؤس":127396,"Ġpó":127397,"Ġкни":127398,"×Ļ׼×ķ׾":127399,"à¹Ģหลืà¸Ń":127400,"׼׾׼":127401,"׳×ĸ":127402,"ÑĪие":127403,"rès":127404,"ĠاÙĦØŃÙĤ":127405,"лÑıÑĢ":127406,"หà¸į":127407,"หà¸įิà¸ĩ":127408,"ר×Ĵ×Ļש":127409,"à¹Ģสà¹īà¸Ļ":127410,"ש×ij×ķף":127411,"ôtel":127412,"апÑĢ":127413,"апÑĢимеÑĢ":127414,"ابÙĦ":127415,"ĠÑĢазвиÑĤ":127416,"ĠполÑĮз":127417,"ĠСеÑĢ":127418,"×ķ×ij×Ļ":127419,"róż":127420,"ìĭŃ":127421,"ãĤ¯ãĥĪ":127422,"ãģĹãĤĪãģĨ":127423,"à¸ģรม":127424,"ØŃÙĥÙĪÙħ":127425,"à¹Ĥà¸ļ":127426,"à¸Ĺà¹īาย":127427,"ĠMá":127428,"ĠÑĤÑĭ":127429,"à¸Ħรัว":127430,"ÑĢÑĥб":127431,"ạp":127432,"ĠmÅĤ":127433,"ĠmÅĤod":127434,"ĠgörÃ¼ÅŁ":127435,"ĠgeliÅŁ":127436,"Æ°Æ¡i":127437,"×ŀשק":127438,"ÙĢÙĢÙĢÙĢ":127439,"ราว":127440,"ãģĹãģ£":127441,"ãģĹãģ£ãģĭãĤĬ":127442,"ĠÐļон":127443,"Ġkê":127444,"à¹Ĥà¸Ĺร":127445,"èIJ½ãģ¡":127446,"åĩºãģ¦":127447,"ลัà¸ģษ":127448,"Ġ×Ĵ×ij×ķ×Ķ":127449,"ãĥĻãĥ«":127450,"ê±°ëĤĺ":127451,"ë§IJ":127452,"×Ļ׾×ĵ×Ļ×Ŀ":127453,"ĠëĦĪ":127454,"×ŀר×Ļ":127455,"รส":127456,"ãĥŃãĥ³":127457,"ило":127458,"ноÑģÑĤÑĮÑİ":127459,"×ĸר×Ĺ":127460,"пон":127461,"Ġ×Ķש׾":127462,"ê²łìĬµëĭĪëĭ¤":127463,"ĠkiÅŁ":127464,"ĠÐļи":127465,"วร":127466,"داع":127467,"ÅŁim":127468,"ÙĨÙij":127469,"ваÑĤ":127470,"راÙĥ":127471,"باÙĦ":127472,"иде":127473,"Ġ×Ķ×ŀ×Ĺ":127474,"ìĸµ":127475,"تÙģاع":127476,"أت":127477,"ëĬĺ":127478,"ש×Ļת":127479,"ستÙħر":127480,"ĠÑĦак":127481,"ĠاÙĦØ£ÙħرÙĬ":127482,"ëŀ¨":127483,"اسÙħ":127484,"ĠaÄŁ":127485,"Ġçev":127486,"ÙĥÙĪر":127487,"ãģķãģ¾":127488,"Ġçöz":127489,"Ġرس":127490,"Äħda":127491,"สà¸Ļุ":127492,"ãģĹãģ¦ãģıãĤĮ":127493,"нÑİ":127494,"leÅŁme":127495,"ãĤªãĥ³":127496,"ãģ¨ãģªãĤĬ":127497,"avaÅŁ":127498,"×ĺ×Ļ×ij":127499,"ØŃض":127500,"×ķצ×IJ×ķת":127501,"ÙĨÙħÙĪ":127502,"ıt":127503,"ĠÑħа":127504,"ĠÑħаÑĢак":127505,"ĠÑħаÑĢакÑĤеÑĢ":127506,"ĠdÅĤ":127507,"ãĥĹãĥ©":127508,"à¸Ĭุม":127509,"à¹Īà¸Ńà¸Ļ":127510,"×ķ×ij׾":127511,"Ñģол":127512,"×ĵ×Ĵ":127513,"аÑĢаÑĤ":127514,"nivers":127515,"ĠgerçekleÅŁtir":127516,"ĠاÙĦÙĦÙĬ":127517,"ระยะ":127518,"ĠÙħختÙĦÙģ":127519,"Ġgönder":127520,"Ùģار":127521,"doÄŁ":127522,"doÄŁan":127523,"صÙĦاØŃ":127524,"Ġyayın":127525,"ãĥĨãĥ³":127526,"รวà¸Ī":127527,"×Ļ×Ĺ×Ļ×ĵ":127528,"ünkü":127529,"ÑĨиалÑĮн":127530,"à¸ļู":127531,"มุ":127532,"hä":127533,"Ø®Ùģ":127534,"å¢Ĺ":127535,"å¢ĹãģĪ":127536,"еÑĩно":127537,"ĠاÙĦسÙĨ":127538,"à¸Ĥาว":127539,"imdi":127540,"Ы":127541,"à¸Ļà¸Ńà¸ģà¸Īาà¸ģ":127542,"à¸ļาล":127543,"תש":127544,"Ġdüzenle":127545,"мÑĭÑģл":127546,"ãģıãģª":127547,"żu":127548,"ĠwspóÅĤ":127549,"Ġназ":127550,"ındaki":127551,"ترة":127552,"ÅŁek":127553,"Ġöd":127554,"ĠÙĪÙĥ":127555,"ĠпозволÑı":127556,"Ġת×ķ׼":127557,"ÙħÙĨتج":127558,"ë§ī":127559,"ĠاÙĦØ«ÙĦاث":127560,"аÑĨиÑİ":127561,"ÙĪرÙĪ":127562,"ÑĭваеÑĤ":127563,"خصص":127564,"ĠاÙĦÙģÙĦ":127565,"ĠاÙĦÙģÙĦسطÙĬÙĨ":127566,"إجر":127567,"إجراء":127568,"اÙĨتخ":127569,"اÙĨتخاب":127570,"ارÙĬØ©":127571,"×ķÖ":127572,"Ø¢ÙĨ":127573,"×ŀ×¢×ķת":127574,"Ġмал":127575,"Ġ×IJ×Ĺ":127576,"à¸Ĺà¹īà¸Ńà¸ĩ":127577,"zeÅĽ":127578,"Ġë§Įëĵ¤":127579,"رÙĬع":127580,"äºĭãĤĴ":127581,"à¸ļริหาร":127582,"׾×ŀ×Ļ×ĵ":127583,"ĠмÑĥж":127584,"ترÙĪ":127585,"ĠباÙĦØ¥":127586,"פ×Ļק":127587,"زÙħØ©":127588,"ĠÃ¶ÄŁrenc":127589,"ãĥ¶":127590,"اÙħعة":127591,"ק×ij×ķצ":127592,"×ŀ׳×ķת":127593,"رÙĬÙħ":127594,"Ġоказ":127595,"ãģłãģijãģ©":127596,"Ġhız":127597,"Ġש×IJת":127598,"ãĤ¢ãĥ¼":127599,"Ġmożliwo":127600,"ìĦ¼":127601,"ÙĪاب":127602,"огÑĢаÑĦ":127603,"ĠعبداÙĦ":127604,"ãĤĴè¡Į":127605,"بÙĬÙĦ":127606,"Ġİç":127607,"ยาย":127608,"ĠÑĥÑĩаÑģÑĤ":127609,"ÑĦеÑģÑģ":127610,"ÑĦеÑģÑģиона":127611,"Ấ":127612,"ÙĨÙĬÙĨ":127613,"عدÙĦ":127614,"สรร":127615,"دÙĬÙĦ":127616,"×ij×Ļק":127617,"czyÅĤ":127618,"ÑĢоме":127619,"Ġмед":127620,"ìĻĶ":127621,"ãĥ©ãĤ¤ãĥ³":127622,"ĠÑĤеп":127623,"еÑĢÑĮ":127624,"iÄŁi":127625,"вели":127626,"ÑĢиÑģÑĤ":127627,"ס×ķפ":127628,"×ŀ׾×Ĺ":127629,"ĠاÙĦØ¥ÙĨ":127630,"Ġ׾×Ķש":127631,"è¶ĬãģĹ":127632,"ĠÑĢÑĭ":127633,"×ķ×IJר":127634,"رÙĩاب":127635,"פ×ķ×IJ×Ļ":127636,"ĠгоÑģÑĥд":127637,"ĠгоÑģÑĥдаÑĢ":127638,"ĠгоÑģÑĥдаÑĢÑģÑĤв":127639,"ĠاÙĦØ£ÙħÙĬر":127640,"Ùħج":127641,"à¹Ģหมาะ":127642,"ÑĢев":127643,"à¸Ĭีà¸ŀ":127644,"ãĥķãĥĪ":127645,"иÑĩно":127646,"ĠاÙĦÙħؤ":127647,"Ġiht":127648,"íħľ":127649,"دÙĨÙĬ":127650,"رص":127651,"лаÑģÑĤ":127652,"à¹Ģหลà¹Īา":127653,"ılır":127654,"รà¸ĵà¹Į":127655,"×ŀש×Ļ×ļ":127656,"Ġdá»ĭ":127657,"Ø·ÙģاÙĦ":127658,"×ĺ×ķף":127659,"Ġ×ij×Ļ׳":127660,"ãģ¾ãģ£ãģŁ":127661,"ложениÑı":127662,"تØŃر":127663,"باØŃ":127664,"à¹Ģสืà¹īà¸Ń":127665,"ãģĻãģĶ":127666,"ltür":127667,"à¸ĩาม":127668,"Ġtü":127669,"ĠпÑĢим":127670,"ĠпÑĢимен":127671,"Ġhayat":127672,"ëĥIJ":127673,"ëĭĮ":127674,"׳×Ļ×ķ":127675,"веден":127676,"ìħ¨":127677,"à¸Īัย":127678,"à¸ģà¹Īà¸Ń":127679,"Ġвод":127680,"оÑģÑĤоÑı":127681,"наÑĤ":127682,"à¹ģหล":127683,"سÙħÙĬ":127684,"à¸Ķำà¹Ģà¸Ļ":127685,"à¸Ķำà¹Ģà¸Ļิà¸Ļ":127686,"wód":127687,"öyle":127688,"ãĥĢãĤ¤":127689,"ÑĪий":127690,"меÑīен":127691,"ãģĹãģ¾ãģĨ":127692,"ãĥīãĥ©":127693,"ÙĪضØŃ":127694,"à¸Ńà¸Ļุ":127695,"ĠاÙĦاجتÙħاع":127696,"laÅŁma":127697,"à¸Ħà¸Ńà¸Ļ":127698,"×ŀר×Ļ×Ŀ":127699,"ÙĨاÙħج":127700,"שר×ķת":127701,"اÙĦØ£":127702,"ĠksiÄħż":127703,"Ġан":127704,"ÑĢай":127705,"اÙĩرة":127706,"×ŀ×ĵ×Ķ":127707,"ä¸Ģç·":127708,"ä¸Ģç·Ĵ":127709,"ä¸Ģç·Ĵãģ«":127710,"ÑĢиÑĤоÑĢ":127711,"dıkl":127712,"à¹ģà¸ĸ":127713,"à¹ģà¸Ĥà¹Īà¸ĩ":127714,"екÑĤоÑĢ":127715,"×ŀסע":127716,"ÑĢакÑĤи":127717,"uÄŁu":127718,"×ķ×ijת":127719,"สูà¸ķร":127720,"ĠçalÄ±ÅŁm":127721,"ĠçalÄ±ÅŁmalar":127722,"Ġана":127723,"ãĥĽãĥ¼ãĥł":127724,"Ġbölüm":127725,"Ġبص":127726,"олоÑģ":127727,"ĠìķĬëĬĶ":127728,"à¹Īะ":127729,"ÙĪتر":127730,"ä¹Ĺ":127731,"ستخداÙħ":127732,"פ×Ļ×Ļס":127733,"פ×Ļ×Ļס×ij":127734,"פ×Ļ×Ļס×ij×ķק":127735,"ĠкÑĢаÑģ":127736,"лик":127737,"رÙĬØŃ":127738,"×ŀש׾×Ķ":127739,"à¹Ģยีà¹Īย":127740,"à¹Ģยีà¹Īยม":127741,"виÑģ":127742,"омн":127743,"ÄŁun":127744,"ãĥŃãĥ¼ãĥ³":127745,"أتÙĬ":127746,"à¸ķรี":127747,"çĶ³ãģĹ":127748,"تÙħر":127749,"ìĹĪìĬµëĭĪëĭ¤":127750,"ĠÙĪغÙĬر":127751,"redni":127752,"ĠاÙĦصÙģ":127753,"ĠнаÑģÑĤоÑı":127754,"ĠнаÑģÑĤоÑıÑī":127755,"à¸ķรา":127756,"ĠÑĥÑģлов":127757,"ĠÑĥÑģловиÑı":127758,"ÑĨеп":127759,"×Ķ×Ĺ׾×ĺ":127760,"Ø·ÙĬع":127761,"ĠBakan":127762,"ĠاÙĦرÙĪ":127763,"илÑĮно":127764,"ĠмеÑĤ":127765,"à¸Ķà¸Ńà¸ģ":127766,"ãģĭãĤīãģªãģĦ":127767,"ĠпоÑģÑĤоÑı":127768,"ĠпоÑģÑĤоÑıн":127769,"ĠÑĩаÑģ":127770,"üc":127771,"wró":127772,"бÑĥÑĢ":127773,"ãĥIJãĥĥãĤ¯":127774,"ãĥ©ãĥ³ãĥī":127775,"ĠогÑĢ":127776,"สัà¸į":127777,"สัà¸įà¸įา":127778,"มัà¹Īà¸Ļ":127779,"à¸Ħà¸Ńม":127780,"alık":127781,"Ġнед":127782,"ümüz":127783,"ĠÅĽwie":127784,"ério":127785,"×Ļ×IJ×Ķ":127786,"دÙħات":127787,"ırl":127788,"ĠоÑĤз":127789,"ĠоÑĤзÑĭв":127790,"ä»ĺãģį":127791,"Ġkażde":127792,"миниÑģÑĤ":127793,"ãĤ°ãĥ«":127794,"ë°ĸ":127795,"езн":127796,"اÙĦÙģ":127797,"Ġשק׾":127798,"Ùħض":127799,"ãĥĿãĥ¼ãĥĪ":127800,"ÙħÙĨت":127801,"ÙĤÙĬاÙħ":127802,"Ø´ÙĨ":127803,"×Ļר×ķ×¢":127804,"ãĤŃãĥ£ãĥ³":127805,"доÑĢов":127806,"×ŀ×Ļת×Ļ":127807,"ÙĪÙĦÙĪج":127808,"ÙĥاÙģ":127809,"ĠÑĢазлиÑĩ":127810,"иÑĤеÑĤ":127811,"нолог":127812,"ลà¸ĩà¸Ĺุà¸Ļ":127813,"ĠyaklaÅŁ":127814,"ãĥ¬ãĤ¤":127815,"ê²łëĭ¤":127816,"æ±ĤãĤģ":127817,"رÙĪÙģ":127818,"ĠíĬ":127819,"ĠíĬ¹":127820,"ãģ£ãģıãĤĬ":127821,"à¸Ħวามà¸Ħิà¸Ķ":127822,"×Ķ×Ļס×ĺ":127823,"Ø¥ÙĤ":127824,"ãģ¦ãģĦ":127825,"à¹Ĥà¸Ĭ":127826,"ĠBüyük":127827,"ĠФедеÑĢ":127828,"ÑĨин":127829,"ÑĢова":127830,"ĠاÙĦاÙĤتصاد":127831,"Ġchá":127832,"à¸ĺาà¸Ļ":127833,"ë¥ł":127834,"à¹Ħà¸ķ":127835,"ÃŃpio":127836,"Ùĭا":127837,"ĠобÑıз":127838,"Ùĩج":127839,"Ġì¤ijìļĶ":127840,"ãģ®ãģ§ãģ¯ãģªãģĦ":127841,"باراة":127842,"ãĤ¤ãĥ«":127843,"ĠноÑĢм":127844,"á»īnh":127845,"mö":127846,"möglich":127847,"ÑĨип":127848,"ãĤ¢ãĤ¯":127849,"×Ķ×Ļ":127850,"ÑĨиалÑĮно":127851,"ĠÅĽwi":127852,"تÙĤ":127853,"ĠÑģÑĤоим":127854,"بÙĬعÙĬ":127855,"Ġ׾ש×ŀ":127856,"глÑı":127857,"глÑıд":127858,"ãģ¦ãģıãĤĮ":127859,"ÄĻdzi":127860,"à¸Ĥั":127861,"à¸Ĥัà¹īà¸Ļ":127862,"Ø·ÙĤ":127863,"ĠìĹŃ":127864,"ãģ£ãģ¦ãģĹãģ¾ãģĨ":127865,"ĠdeÄŁerl":127866,"ĠdeÄŁerlendir":127867,"Ġülk":127868,"Ġмног":127869,"à¹ĭ":127870,"ë¿IJ":127871,"ĠУкÑĢа":127872,"ÄŁini":127873,"Ġбезоп":127874,"ĠбезопаÑģ":127875,"à¸Ńà¸Ńà¸ģà¹ģà¸ļà¸ļ":127876,"اظ":127877,"ØŃداث":127878,"леÑĢ":127879,"×Ļ×¥":127880,"×Ļ׳×ĺר׳×ĺ":127881,"larınız":127882,"ØŃÙĬØŃ":127883,"żeli":127884,"à¸Ńัà¸ĩ":127885,"à¸Ńัà¸ĩà¸ģ":127886,"à¸Ńัà¸ĩà¸ģฤษ":127887,"ĠоÑĤлиÑĩ":127888,"ัส":127889,"ëŀį":127890,"ожно":127891,"ãĤ¹ãĥĿ":127892,"ĠÑħоÑĩ":127893,"Ġкап":127894,"еÑĩен":127895,"ØŃÙĦØ©":127896,"ÙĬاÙĩ":127897,"нал":127898,"×ķצר×Ļ×Ŀ":127899,"Ġkald":127900,"åĥį":127901,"ĠاÙĦشخص":127902,"Ġзна":127903,"Ġwzgl":127904,"życz":127905,"ê°Ŀ":127906,"à¸ŀลัà¸ĩ":127907,"íģ¼":127908,"Ġöl":127909,"Ġbụ":127910,"Ø´Ùĩر":127911,"Ġзам":127912,"Ġдев":127913,"×Ļ×ĺת":127914,"تعÙĦÙĤ":127915,"ÙĪÙħØ©":127916,"ãĤĴä½ľ":127917,"ãģįãģ¦":127918,"íĥĿ":127919,"rasında":127920,"ãĤĴæİ¢":127921,"ĠÙħباشر":127922,"راجع":127923,"Ġвозд":127924,"ÙħØŃا":127925,"×ķשר":127926,"ĠиÑģÑĤоÑĢ":127927,"มัà¸ģ":127928,"tıģ":127929,"ثار":127930,"ترÙĨت":127931,"à¹ģà¸Ĥà¹ĩ":127932,"à¹ģà¸Ĥà¹ĩà¸ĩ":127933,"поÑĩ":127934,"Ġ×ij×IJ×ķת":127935,"ë¯Ģ":127936,"ëĿ¼ëıĦ":127937,"à¸Ĭัà¸Ķ":127938,"สà¸ķà¹Į":127939,"ãĥĭãĥĥãĤ¯":127940,"иденÑĤ":127941,"ĠгÑĢÑĥпп":127942,"تخ":127943,"áºł":127944,"ยืà¸Ļ":127945,"ยัà¸Ļ":127946,"óry":127947,"TÃľ":127948,"ãģĹãĤĥ":127949,"ĠпÑĢовед":127950,"лÑıеÑĤ":127951,"ÙħØ®":127952,"ยà¸Ńม":127953,"×Ľ×ł×¡×ª":127954,"ĠاÙĦÙħÙĨت":127955,"Ġolmad":127956,"ר׼×ĸ×Ļ":127957,"ĠвÑģÑĤÑĢ":127958,"ĠиÑģÑģлед":127959,"ÑĤвеÑĢж":127960,"بدÙĪ":127961,"еÑĢÑĤ":127962,"ï»·":127963,"±ħ":127964,"สัมà¸ŀัà¸Ļà¸ĺà¹Į":127965,"ิà¹Īà¸Ļ":127966,"צ×Ļ×ij":127967,"wiÄĻt":127968,"Ġì°¸":127969,"ĠzwiÄħz":127970,"سبÙĪع":127971,"ãĥĥãĤ°":127972,"à¸Ľà¸¥à¸Ńà¸Ķ":127973,"à¸Ľà¸¥à¸Ńà¸Ķà¸łà¸±à¸¢":127974,"ãĤĤãĤĬ":127975,"ÙĤدس":127976,"Ġsprz":127977,"Ġsprzeda":127978,"Ġistedi":127979,"Ġkhu":127980,"Ġден":127981,"ĠkoÅĦ":127982,"Ġ×ij×Ĺ×Ļ":127983,"à¹Ģà¸Ĺà¹īา":127984,"×ķס×Ļ×£":127985,"ãĥĭãĥ¥ãĥ¼":127986,"ĠпÑĢедоÑģÑĤ":127987,"ĠпÑĢедоÑģÑĤав":127988,"à¹Ĥà¸Ł":127989,"év":127990,"ĠاÙĦصØŃ":127991,"صØŃاب":127992,"à¹Ģà¸Īà¹ĩà¸ļ":127993,"влек":127994,"วัà¸ķ":127995,"à¸ĸุ":127996,"ãģĵãģ¨ãģĮãģ§ãģįãģ¾ãģĻ":127997,"ÙĤÙĬÙĤÙĬ":127998,"×ķ×Ĺר":127999,"ÑĭÑĪ":128000,"ĠоÑĤно":128001,"ĠоÑĤноÑĪ":128002,"обилÑĮ":128003,"ÙģØŃ":128004,"ınt":128005,"ıntı":128006,"Ġ׾×ij×ĵ":128007,"íİĺìĿ´ì§Ģ":128008,"ãĥĬãĥ«":128009,"ĠÙħساء":128010,"×Ļ×ĺ×ij":128011,"ÑĮеÑĢ":128012,"ëĦ·":128013,"ÑĭÑĤа":128014,"ĠоÑĩеÑĢ":128015,"à¸Ķืà¹Ī":128016,"à¸Ķืà¹Īม":128017,"ĠNgh":128018,"تعب":128019,"ÙĦاÙĤات":128020,"×ķ׾×ķ×Ĵ×Ļ×Ķ":128021,"ĠìĿ´ê²ĥ":128022,"Ġ×Ķ×ijר":128023,"ìľµ":128024,"à¹Ģà¸Ħลืà¹Īà¸Ńà¸Ļ":128025,"ÙĩØ©":128026,"à¸Īำà¹Ģà¸Ľà¹ĩà¸Ļ":128027,"å¤īãģĪ":128028,"wiÅĽcie":128029,"chod":128030,"chodzÄħ":128031,"вÑĢо":128032,"×ŀ×Ĺ×Ļר":128033,"Ġyı":128034,"Ġyıll":128035,"ì¡Į":128036,"à¹Ħหว":128037,"ãģªãģıãģª":128038,"ĠзавиÑģ":128039,"ĠìĺĪìĪĺ":128040,"ÙģØ°":128041,"ủng":128042,"à¸ŀุà¸Ĺà¸ĺ":128043,"зн":128044,"layan":128045,"ãĤ¡":128046,"à¸ģà¹ĩà¸ķาม":128047,"ĠsaÄŁlam":128048,"รà¸ĵ":128049,"ĠÑģиÑĤ":128050,"ĠÑģиÑĤÑĥ":128051,"ĠاÙĦتÙĨ":128052,"×Ķ×ĸ":128053,"ĠØ·ÙĪÙĬÙĦ":128054,"taÅĤ":128055,"Ġgörd":128056,"å¤īãĤı":128057,"ëĥ¥":128058,"à¸Ħà¹Īà¸Ńย":128059,"×IJ×ķ×ĺ":128060,"ëħIJ":128061,"ãĥ©ãĥ³ãĤ¹":128062,"วัà¸Ĵ":128063,"วัà¸Ĵà¸Ļ":128064,"ĠoluÅŁ":128065,"פע×ķ׾":128066,"ĠszczegóÅĤ":128067,"à¸Ħาสิ":128068,"à¸Ħาสิà¹Ĥà¸Ļ":128069,"powied":128070,"ĠÑĤеб":128071,"หà¸Ļà¹Īวย":128072,"Ġмил":128073,"ØŃÙĥ":128074,"à¸Ĺà¸Ķ":128075,"ĠмаÑĤеÑĢиал":128076,"ÅĤow":128077,"à¹Ģà¸ģีย":128078,"ĠÑģовеÑĢ":128079,"ãĤ©":128080,"à¸Ľà¸£à¸´":128081,"ĠиÑİ":128082,"наÑĩен":128083,"ÑĢенд":128084,"muÅŁtur":128085,"ĠпÑĢодÑĥк":128086,"зд":128087,"ÑıÑĤи":128088,"ÑıÑĤиÑı":128089,"à¹Ģมีย":128090,"راتÙĬج":128091,"Ġamacı":128092,"ש×ķ׾":128093,"ש×ķ׾×Ĺ":128094,"สะà¸Ńา":128095,"สะà¸Ńาà¸Ķ":128096,"פ×Ĵ×¢":128097,"عبة":128098,"dın":128099,"íħĶ":128100,"Ġ×ŀש×Ĺק":128101,"Ġfiyat":128102,"ĠзаÑı":128103,"ĠзаÑıв":128104,"à¹Ĥหล":128105,"à¹Ĥหลà¸Ķ":128106,"à¸ģรุà¸ĩà¹Ģà¸Ĺà¸ŀ":128107,"צ×Ļ×Ļף":128108,"ìļ±":128109,"Ùħب":128110,"Ùħباد":128111,"landır":128112,"ĠвеÑģÑĮ":128113,"Ġhük":128114,"ĠÐĴоз":128115,"ÑĩиÑĤÑĭва":128116,"วล":128117,"×ķצע":128118,"à¸Ĥà¸ĵะà¸Ĺีà¹Ī":128119,"ĠaÅŁaģı":128120,"׾×IJ×ķ×ŀ×Ļ":128121,"trzym":128122,"Ã¤ÃŁig":128123,"owoÅĽci":128124,"ãģĿãĤĤ":128125,"ĠrozwiÄħz":128126,"ĠgÅĤówn":128127,"монÑĤ":128128,"×ŀ×ķ×ŀ":128129,"ĠÑģÑĤан":128130,"ÙĦاÙĤØ©":128131,"prowad":128132,"prowadzi":128133,"ĠÑģоÑģÑĤоÑı":128134,"×Ļ×IJ×ķת":128135,"rı":128136,"gı":128137,"ãĥijãĥij":128138,"ĠналиÑĩ":128139,"×Ķצע":128140,"Ġ׳×Ķ":128141,"à¸Ħัà¸ļ":128142,"عراض":128143,"иж":128144,"ÙĩائÙĬ":128145,"ãĤīãģı":128146,"ожеÑĤ":128147,"ĠобоÑĢ":128148,"ĠобоÑĢÑĥд":128149,"أسÙĦ":128150,"à¹ĩà¸Ķ":128151,"ÑĢÑĥÑĤ":128152,"دÙĬÙħÙĤ":128153,"دÙĬÙħÙĤرا":128154,"Ġjeste":128155,"×ķ×ķ×Ļר":128156,"×ij×ĵ×Ļק":128157,"деÑĢжива":128158,"ãģĬãģı":128159,"ewnÄĻtr":128160,"ewnÄĻtrzn":128161,"à¸ŀฤ":128162,"Ġ×IJ×ķ×Ķ":128163,"ת×Ĺ×ķש":128164,"Ġzob":128165,"дÑĥм":128166,"ĠÑģÑĭ":128167,"ÙĬرا":128168,"ĠwiÄĻks":128169,"à¹ģà¸ķà¸ģà¸ķà¹Īาà¸ĩ":128170,"lararas":128171,"lararası":128172,"íĺĢ":128173,"ëī´":128174,"×ķ×Ĵ׾":128175,"ĠоÑĤмеÑĤ":128176,"ĠÑĢан":128177,"تÙĥÙĦ":128178,"иÑĤелÑĮн":128179,"à¸Ľà¸£à¸°à¸§à¸±":128180,"à¸Ľà¸£à¸°à¸§à¸±à¸ķิ":128181,"ìŀĸ":128182,"можно":128183,"pieczeÅĦ":128184,"pieczeÅĦst":128185,"못":128186,"ìĬ¨":128187,"×ŀס×ŀ":128188,"Ủ":128189,"ศิ":128190,"ศิล":128191,"à¸¨à¸´à¸¥à¸Ľ":128192,"ĠÅļw":128193,"ãĥĥãĤ·ãĥ§ãĥ³":128194,"unitÃł":128195,"Ġmieszka":128196,"ĠmieszkaÅĦ":128197,"przed":128198,"przedsi":128199,"przedsiÄĻb":128200,"przedsiÄĻbior":128201,"à¸Ľà¸£à¸°à¸ªà¸´à¸Ĺà¸ĺิ":128202,"à¸Ľà¸£à¸°à¸ªà¸´à¸Ĺà¸ĺà¸´à¸łà¸²à¸ŀ":128203,"ยà¹Ī":128204,"ìķĻ":128205,"รวà¸Ķ":128206,"รวà¸Ķà¹Ģรà¹ĩว":128207,"å½ĵãģŁãĤĬ":128208,"älle":128209,"ÑĥеÑĤÑģÑı":128210,"ãn":128211,"ëłµ":128212,"thè":128213,"ãĤĴåĪ©çĶ¨":128214,"ìµľ":128215,"íĵ¨":128216,"à¸Ĺัà¸ļ":128217,"าà¸Ħม":128218,"ãģĩ":128219,"ëĤĮ":128220,"à¹Ģà¸Ľà¸¥à¹Īา":128221,"â¦":128222,"ë¾":128223,"êĢ":128224,"êĩ":128225,"â¡":128226,"ðŁŁ":128227,"ãIJ":128228,"âº":128229,"áŃ":128230,"áĻ":128231,"áĵ":128232,"á²":128233,"ðĵı":128234,"á¬":128235,"â¯":128236,"ä¨":128237,"êĿ":128238,"ê«":128239,"ðij":128240,"ðĵĥ":128241,"ðĿħ":128242,"":128244,"":128245,"":128247,"ĠعÙĦÙī":128248,"Ġmá»Ļt":128249,"ĠvỼi":128250,"ĠngÆ°á»Ŀi":128251,"ĠØ¥ÙĦÙī":128252,"Ġnhững":128253,"Ġthá»ĥ":128254,"Ġ×IJ×ķ":128255,"Ġ×¢×Ŀ":128256,"اÙĭ":128257,"Ġà¹ģละ":128258,"ĠÙĦا":128259,"ĠnhÆ°":128260,"ĠاÙĦتÙĬ":128261,"Ġ×Ķ×ķ×IJ":128262,"ĠÄijến":128263,"ĠØ£ÙĪ":128264,"Ġvá»ģ":128265,"ĠlÃłm":128266,"Ġsẽ":128267,"ĠcÅ©ng":128268,"Ġợ":128269,"ĠÄijó":128270,"Ġnhiá»ģu":128271,"Ġtại":128272,"Ġtrên":128273,"Ġ×Ĵ×Ŀ":128274,"ĠnhÃł":128275,"Ġ׼×Ļ":128276,"Ġsá»±":128277,"ĠÄijầu":128278,"Ġbá»ĭ":128279,"ĠÙĩذا":128280,"Ġnhất":128281,"Ġphải":128282,"Ġhiá»ĩn":128283,"Ġdụng":128284,"ĠÄijá»Ļng":128285,"ĠاÙĦÙĦÙĩ":128286,"ĠØĮ":128287,"ĠÙĥÙĦ":128288,"Ġviá»ĩc":128289,"ĠnÄĥm":128290,"Ġthì":128291,"Ġhá»įc":128292,"ĠÙĪت":128293,"té":128294,"ĠاÙĨ":128295,"Ġtôi":128296,"Ġ×IJ׳×Ļ":128297,"Ġ׾×Ļ":128298,"Ġ×ŀ×ķ":128299,"ĠngÃły":128300,"ĠnÆ°á»Ľc":128301,"Ġ×Ķ×Ļ×IJ":128302,"Ġ×IJ×Ļ":128303,"ĠhÆ¡n":128304,"ĠÙĩØ°Ùĩ":128305,"ĠÙĪÙĬ":128306,"ĠاÙĦØ°ÙĬ":128307,"Ġ×ķ×ŀ":128308,"Ġgiá":128309,"Ġnhân":128310,"ĠchÃŃnh":128311,"Ġmình":128312,"ĠÐĿа":128313,"Ġthế":128314,"Ġ×Ļ×ķתר":128315,"Ġ×IJ×Ŀ":128316,"Ġnên":128317,"Ġhợ":128318,"Ġhợp":128319,"Ġcòn":128320,"ĠÙĩÙĪ":128321,"ĠcÆ¡":128322,"Ġrất":128323,"ĠViá»ĩt":128324,"Ġبعد":128325,"Ġש×Ļ":128326,"Ġthá»Ŀi":128327,"Ġcách":128328,"ĠÄijá»ĵng":128329,"Ġно":128330,"ĠtrÆ°á»Ŀng":128331,"ØŁ":128332,"ĠÄijá»ĭnh":128333,"ĠÄijiá»ģu":128334,"×Ļ×Ļ×Ŀ":128335,"Ġthá»±c":128336,"nın":128337,"Ġhình":128338,"Ġnói":128339,"Ġcùng":128340,"Ġ×Ķ×Ķ":128341,"ĠØ¥ÙĨ":128342,"Ġ×IJ×ij׾":128343,"ĠnhÆ°ng":128344,"Ġbiết":128345,"Ġже":128346,"Ġchúng":128347,"ĠÄijang":128348,"ĠØ°ÙĦÙĥ":128349,"Ġlên":128350,"Ġkhách":128351,"ĠnÃło":128352,"Ġsá»Ń":128353,"Ġkhác":128354,"Ġë°ı":128355,"Ġlý":128356,"×Ļ×Ļ":128357,"ĠÄijây":128358,"Ġ׾×ŀ":128359,"Ġcần":128360,"Ġtrình":128361,"Ġphát":128362,"ãģ«ãĤĤ":128363,"по":128364,"ĠnÄĥng":128365,"Ġbá»Ļ":128366,"Ġvụ":128367,"ĠÄijá»Ļ":128368,"Ñĩе":128369,"ĠnháºŃn":128370,"ĠtrÆ°á»Ľc":128371,"Ġ×¢×ĵ":128372,"ĠhÃłnh":128373,"ĠØ®ÙĦاÙĦ":128374,"Ġlượng":128375,"Ġcấp":128376,"Ġtá»±":128377,"Ġvì":128378,"ĠtÆ°":128379,"Ġchất":128380,"Ġ׼×ŀ×ķ":128381,"Ġgì":128382,"Ġש׳":128383,"Ġtế":128384,"ת×ķ":128385,"Ġnghiá»ĩp":128386,"Ġmặt":128387,"ĠÙĥÙħا":128388,"Ġ×ij×Ļף":128389,"Ġרק":128390,"Ġthấy":128391,"Ġmáy":128392,"ĠÙģÙī":128393,"Ġdân":128394,"Ġ×IJ×Ĺ×ĵ":128395,"Ġtâm":128396,"Ġ׼×ļ":128397,"Ġ׾×ķ":128398,"во":128399,"Ġtác":128400,"ĠtoÃłn":128401,"ĠÙĪÙħ":128402,"Ġkết":128403,"Ġหรืà¸Ń":128404,"ĠÙĪاÙĦÙħ":128405,"ĠÄijiá»ĥm":128406,"Ġ×ĸ×ķ":128407,"Ġ×ij×ķ":128408,"׼×ķת":128409,"Ġhá»Ļi":128410,"Ġbằng":128411,"تÙĩا":128412,"Ġ׼×ĵ×Ļ":128413,"Ġ×Ķ×Ŀ":128414,"Ġxuất":128415,"ĠÙĤد":128416,"Ġbảo":128417,"Ġtá»ijt":128418,"Ġtình":128419,"ĠÙĩÙĬ":128420,"ĠÄijá»iji":128421,"Ġthiết":128422,"Ġhiá»ĩu":128423,"Ġtiếp":128424,"Ġtạo":128425,"ת×Ķ":128426,"Ġchủ":128427,"oÅĽÄĩ":128428,"Ġgiú":128429,"Ġgiúp":128430,"Ġý":128431,"Ġquả":128432,"Ġloại":128433,"Ġcô":128434,"Ġô":128435,"Ġông":128436,"Ġ×Ķ×ķ":128437,"ĠاÙĦÙĬÙĪÙħ":128438,"ĠtÃŃnh":128439,"га":128440,"Ġphòng":128441,"ĠÄĥn":128442,"ĠعاÙħ":128443,"Ġvá»ĭ":128444,"larını":128445,"rÃŃa":128446,"ĠtỼi":128447,"ĠÄijÆ°á»Ŀng":128448,"ĠgiỼi":128449,"Ġbản":128450,"Ġcầu":128451,"Ġnhiên":128452,"Ġbá»ĩnh":128453,"ĠthÆ°á»Ŀng":128454,"Ġ×IJ×Ļף":128455,"ĠÄijá»ģ":128456,"Ġhá»ĩ":128457,"Ġ×Ļשר×IJ׾":128458,"Ġquá":128459,"ĠÐĹа":128460,"ãģ®ãģ§ãģĻãģĮ":128461,"ĠÐŁÑĢи":128462,"Ġphần":128463,"ĠÙĪÙĦا":128464,"ĠlỼn":128465,"Ġtrá»ĭ":128466,"Ġcảm":128467,"Ġмо":128468,"Ġdùng":128469,"ĠاÙĦÙī":128470,"ĠعÙĦÙĬÙĩ":128471,"ĠìŀĪìĬµëĭĪëĭ¤":128472,"ÙĬÙĤ":128473,"ĠÙĤبÙĦ":128474,"Ġhoặc":128475,"ĠØŃÙĬØ«":128476,"Ġà¸Ĺีà¹Ī":128477,"ĠغÙĬر":128478,"ĠÄijại":128479,"Ġsá»ijng":128480,"нÑĭми":128481,"Ġthức":128482,"Ġפ×Ļ":128483,"ĠÄijiá»ĩn":128484,"ãģªãģĭãģ£ãģŁ":128485,"Ġgiải":128486,"Ġvẫn":128487,"ĠиÑħ":128488,"Ġönce":128489,"ĠváºŃy":128490,"Ġmuá»ijn":128491,"Ġảnh":128492,"à¹ĥà¸Ļà¸ģาร":128493,"ĠQuá»ijc":128494,"Ġkế":128495,"׳×IJ":128496,"Ġס×Ļ":128497,"Ġyêu":128498,"ãģ®ãģĭ":128499,"ĠÄijẹ":128500,"ĠÄijẹp":128501,"Ġchức":128502,"Ġyıl":128503,"ĠTürkiye":128504,"dé":128505,"ĠÙĤاÙĦ":128506,"Ġdá»ĭch":128507,"ĠolduÄŁu":128508,"Ġchá»įn":128509,"ĠتÙħ":128510,"หà¸Ļึà¹Īà¸ĩ":128511,"ãģķãĤĮãģŁ":128512,"Ġpháp":128513,"ìĽĶ":128514,"Ġtiá»ģn":128515,"ãģĹãģ¾ãģĹãģŁ":128516,"Ġש׾×IJ":128517,"ÙĦØ©":128518,"Ġ׾פ׳×Ļ":128519,"Ġ×ij×Ļת":128520,"ĠHÃł":128521,"ĠØŃت":128522,"ĠØŃتÙī":128523,"Ġ×¢×ķ×ĵ":128524,"Ġnó":128525,"Ġtháng":128526,"à¹Ģลืà¸Ńà¸ģ":128527,"ר×Ķ":128528,"ĠtÄĥng":128529,"Ġcái":128530,"Ġtriá»ĥn":128531,"Ġ×IJ×ķת×ķ":128532,"ìłģìĿ¸":128533,"ĠCông":128534,"Ġ׾×Ķ×Ļ×ķת":128535,"Ġгода":128536,"иÑİ":128537,"Ġبعض":128538,"Ġà¸ģาร":128539,"èī¯ãģĦ":128540,"ÙĪت":128541,"Ġliên":128542,"ĠÐĿо":128543,"ĠÐĿе":128544,"çļĦãģª":128545,"ĠÙħت":128546,"ĠÑĤакже":128547,"ĠкоÑĤоÑĢÑĭе":128548,"Ġ×Ļ×ĵ×Ļ":128549,"Ġtrá»įng":128550,"ãĤµãĤ¤ãĥĪ":128551,"ìłģìľ¼ë¡ľ":128552,"ĠtáºŃp":128553,"Ġש׾×Ļ":128554,"íķĺê²Į":128555,"ĠtÃłi":128556,"ĠЯ":128557,"Ġrá»ĵi":128558,"اÙĥ":128559,"ĠthÆ°Æ¡ng":128560,"Ġ×Ķ×ĸ×Ķ":128561,"ĠÙĪÙħÙĨ":128562,"à¸Ĺีà¹Īมี":128563,"Ġcuá»Ļc":128564,"Ġbüyük":128565,"ãģ¨ãģĭ":128566,"Ġ×ij×Ļ×ķתר":128567,"Ġlần":128568,"Ġgöre":128569,"Ġtrợ":128570,"Ġ×ĺ×ķ×ij":128571,"ÑĤÑĮÑģÑı":128572,"Ġthá»ijng":128573,"Ġ׼ש":128574,"Ġtiêu":128575,"Ġ×ŀ×IJ×ķ×ĵ":128576,"ØĽ":128577,"kÄħ":128578,"Ġà¹ĥà¸Ļ":128579,"Ġvấn":128580,"Ġש׾×ķ":128581,"ĠÄijá»ģu":128582,"Ùģت":128583,"Ġê²ĥìĿ´":128584,"Ġhóa":128585,"ĠاÙĦعاÙħ":128586,"ĠÙĬÙĪÙħ":128587,"кой":128588,"Ġbiá»ĩt":128589,"ÑģÑĤо":128590,"Ġ×Ķ×Ļ×ķ":128591,"à¸Ĺีà¹Īà¸Īะ":128592,"Ġ×ĵ×Ļ":128593,"Ġ×IJ×ļ":128594,"Ġán":128595,"صÙĪر":128596,"ĠtrÃŃ":128597,"ĠÐŁÑĢо":128598,"Ġlá»±c":128599,"ãģĹãģ¦ãģĦãģ¾ãģĻ":128600,"ĠbÃłi":128601,"Ġ×ĸ×IJת":128602,"Ġbáo":128603,"à¸ļà¸Ļ":128604,"ĠëĮĢíķľ":128605,"Ġtiế":128606,"Ġtiếng":128607,"Ġbên":128608,"ãģķãĤĮãĤĭ":128609,"sión":128610,"Ġtìm":128611,"×¢×ķ":128612,"mé":128613,"ниÑı":128614,"ãģ»ãģ©":128615,"Ġà¹Ģà¸ŀราะ":128616,"بة":128617,"Ġë¶Ħ":128618,"Ġ×IJ×ĸ":128619,"à¸Ĺà¹Īาà¸Ļ":128620,"ת×Ŀ":128621,"Ġthêm":128622,"Ġhoạt":128623,"yı":128624,"×ĸ×ķ":128625,"Ġgiá»Ŀ":128626,"Ġbán":128627,"à¸Ĥาย":128628,"Ñĩа":128629,"Ġà¹Ĩ":128630,"ĠاÙĦÙħت":128631,"ĠоÑĩенÑĮ":128632,"Ġbất":128633,"Ġtrẻ":128634,"ÑĤÑĢ":128635,"ĠØ£ÙĨÙĩ":128636,"ĠØ«Ùħ":128637,"Ġ׼×ŀ×Ķ":128638,"Ġkhó":128639,"Ġrằng":128640,"ĠÙĪÙģÙĬ":128641,"ний":128642,"ĠhoÃłn":128643,"tó":128644,"Ġ×IJשר":128645,"ĠìĥĿê°ģ":128646,"Ñģа":128647,"Ġ׼×ijר":128648,"ĠÑįÑĤом":128649,"larının":128650,"ĠchÆ°a":128651,"зи":128652,"Ġdẫn":128653,"ĠÐļак":128654,"جÙĪ":128655,"ĠбÑĭло":128656,"ĠÙĬت":128657,"nı":128658,"ÅĤam":128659,"ĠÙĪÙĩÙĪ":128660,"×ij×ķ":128661,"пи":128662,"רת":128663,"Ġquá»ijc":128664,"жд":128665,"ĠÄijÆ¡n":128666,"Ùĥتب":128667,"Ġmắt":128668,"ระà¸ļ":128669,"ระà¸ļà¸ļ":128670,"ĠÙĥاÙĨت":128671,"Ġthân":128672,"สิà¸Ļà¸Ħà¹īา":128673,"×Ĵ×Ļ":128674,"ĠphÆ°Æ¡ng":128675,"à¹Ħมà¹Īà¹Ħà¸Ķà¹ī":128676,"ĠìĦ±":128677,"ĠCác":128678,"Ġ×Ķ×ŀ×ķ":128679,"ĠÑĤем":128680,"Ġ×ĵ×ķ":128681,"à¸Ńะà¹Ħร":128682,"ĠvÄĥn":128683,"ãģªãģ®ãģ§":128684,"ĠNá»Ļi":128685,"Ġ×¢×ķ":128686,"ãĤīãĤĮãĤĭ":128687,"Ġsáng":128688,"Ġgöster":128689,"ãģĵãģ¨ãĤĴ":128690,"Ġtarafından":128691,"Ġма":128692,"ĠпоÑģле":128693,"Ġ׳×Ļת":128694,"Ġ׳×Ļ×ª×Ł":128695,"ĠлеÑĤ":128696,"Ġ׾׳×ķ":128697,"ÑģÑģ":128698,"Ġ×Ļ×ķ":128699,"пе":128700,"ĠÙĪÙĦÙĥ":128701,"ĠÙĪÙĦÙĥÙĨ":128702,"ĠngoÃłi":128703,"ĠÄijá»ĭa":128704,"rzÄħd":128705,"dziaÅĤ":128706,"ĠÙħر":128707,"иÑĤÑĮÑģÑı":128708,"Ġ×IJ×Ĺר×Ļ":128709,"Ġ׾׼׾":128710,"à¸Ĥà¹īà¸Ńม":128711,"à¸Ĥà¹īà¸Ńมูล":128712,"Ġбол":128713,"Ġболее":128714,"جÙħع":128715,"леÑĤ":128716,"Ġlá»ĭch":128717,"ĠÙħØ«ÙĦ":128718,"Ġê·¸ë¦¬ê³ł":128719,"Ġthứ":128720,"ĠdeÄŁil":128721,"ÙĪØŃ":128722,"Ġש׾×ļ":128723,"ĠÙħØŃÙħد":128724,"Ġnếu":128725,"ĠÄijá»ķi":128726,"Ġvừa":128727,"Ġmá»įi":128728,"Ġони":128729,"Ġlúc":128730,"ĠÙĬÙĥÙĪÙĨ":128731,"ì§Ī":128732,"Ġש׾׳×ķ":128733,"ĠÐĶо":128734,"Ġש׳×Ļ":128735,"ลิ":128736,"×IJפשר":128737,"Ġsức":128738,"ê¶Į":128739,"Ġứng":128740,"à¹Ħมà¹Īมี":128741,"Ø·ÙĦب":128742,"ĠÑĩем":128743,"Ġchuyên":128744,"ĠthÃŃch":128745,"Ġ×ķ×Ļ":128746,"íķ©":128747,"ĠÙħصر":128748,"до":128749,"ĠÄijất":128750,"Ġchế":128751,"à¸Ĭืà¹Īà¸Ń":128752,"Ġìĭł":128753,"Ġإذا":128754,"ĠرئÙĬس":128755,"Ġש×Ļש":128756,"Ġgiảm":128757,"Ñģка":128758,"larında":128759,"Ġsợ":128760,"ĠtÃŃch":128761,"ĠÙĦÙĥÙĨ":128762,"ĠبÙħ":128763,"×¢×ķ×ij":128764,"×¢×ķ×ij×ĵ":128765,"ÅĤÄħcz":128766,"larına":128767,"Ġש×Ŀ":128768,"ĠÙĦت":128769,"Ġש×Ķ×ķ×IJ":128770,"tów":128771,"Ġëĭ¤ë¥¸":128772,"ĠØ£Ùĥثر":128773,"ãģ®ãģ§ãģĻ":128774,"׼×Ļ×Ŀ":128775,"ĠolduÄŁunu":128776,"ãģĭãģª":128777,"ãĤĤãģĨ":128778,"ÙĬØŃ":128779,"Ġnhìn":128780,"Ġnghá»ĩ":128781,"ãģ«ãģªãģ£ãģ¦":128782,"па":128783,"Ġquyết":128784,"ÙĦÙĤ":128785,"tá":128786,"Ġluôn":128787,"ĠÄijặc":128788,"Ġ×IJר":128789,"Ġtuá»ķi":128790,"são":128791,"ìĻ¸":128792,"رد":128793,"ĠبÙĩا":128794,"Ġ×Ķ×Ļ×ķ×Ŀ":128795,"×ķ×ķ×Ļ":128796,"ãģ§ãģĻãģŃ":128797,"ĠÑĤого":128798,"Ġthủ":128799,"ãģĹãģŁãģĦ":128800,"رÙĤ":128801,"Ġbắt":128802,"гÑĥ":128803,"Ġtá»Ń":128804,"ÑĪа":128805,"Ġà¸Ľà¸µ":128806,"Ġ×Ķ×IJ×Ŀ":128807,"íı¬":128808,"ża":128809,"Ġ×IJת×Ķ":128810,"Ġná»Ļi":128811,"ĠphÃŃ":128812,"ĠÅŁekilde":128813,"Ġlá»Ŀi":128814,"dıģı":128815,"Ġ׼×IJף":128816,"Ġtüm":128817,"Ġmạnh":128818,"ĠMỹ":128819,"ãģĿãĤĵãģª":128820,"Ġnhá»ı":128821,"ãģªãģĮãĤī":128822,"Ġbình":128823,"ıp":128824,"à¸ŀา":128825,"ĠÄijánh":128826,"ĠÙĪÙĦ":128827,"ר×ķת":128828,"Ġ×IJ×Ļ×ļ":128829,"Ġchuyá»ĥn":128830,"Ùĥا":128831,"ãĤĮãĤĭ":128832,"à¹ģมà¹Ī":128833,"ãĤĪãģı":128834,"ĠÙĪÙĤد":128835,"íĸĪëĭ¤":128836,"ĠnÆ¡i":128837,"ãģ«ãĤĪãģ£ãģ¦":128838,"Ġviết":128839,"Ġà¹Ģà¸ŀืà¹Īà¸Ń":128840,"ëIJĺëĬĶ":128841,"ادÙĬ":128842,"ĠÙģØ¥ÙĨ":128843,"ì¦Ŀ":128844,"ĠÄijặt":128845,"ĠhÆ°á»Ľng":128846,"Ġxã":128847,"Ġönemli":128848,"ãģłãģ¨":128849,"Ġmẹ":128850,"Ġ×ij×Ļ":128851,"Ġ×ĵ×ijר":128852,"ĠváºŃt":128853,"ĠÄijạo":128854,"Ġdá»±ng":128855,"ĠÑĤом":128856,"ĠÙģÙĬÙĩا":128857,"ĠجÙħÙĬع":128858,"ĠthuáºŃt":128859,"stÄĻp":128860,"Ġtiết":128861,"Ø´ÙĬ":128862,"ĠеÑīе":128863,"ãģĻãĤĭãģ¨":128864,"ĠmÃłu":128865,"ĠÑįÑĤого":128866,"Ġvô":128867,"ĠÐŃÑĤо":128868,"ĠtháºŃt":128869,"Ġnữa":128870,"Ġbiến":128871,"Ġnữ":128872,"Ġ׾׼×Ŀ":128873,"×Ļ×Ļף":128874,"Ġست":128875,"ĠÐŀÑĤ":128876,"Ġphụ":128877,"ê¹Įì§Ģ":128878,"Ġ׾×ļ":128879,"Ġkỳ":128880,"à¹ĥà¸Ħร":128881,"Ġgây":128882,"ĠÙĦÙĦÙħ":128883,"Ġtục":128884,"تÙĬÙĨ":128885,"Ġtrợ":128886,"Ġ׾פ×Ļ":128887,"Ġbá»ij":128888,"ĠÐļа":128889,"ĠÄijình":128890,"owÄħ":128891,"sında":128892,"Ġkhiến":128893,"sız":128894,"Ġкогда":128895,"×¡×ľ":128896,"ĠбÑĭл":128897,"à¸Ļà¹īà¸Ńย":128898,"обÑĢаз":128899,"Ġê²ĥìĿ´ëĭ¤":128900,"ëĵ¤ìĿĢ":128901,"ãģ¸ãģ®":128902,"Ġà¹Ģมืà¹Īà¸Ń":128903,"Ġphục":128904,"Ġ×Ĺ׾ק":128905,"Ġhết":128906,"ĠÄija":128907,"à¹Ģà¸Ķà¹ĩà¸ģ":128908,"íĺķ":128909,"lÃŃ":128910,"ê¸ī":128911,"Ġعدد":128912,"ĠÄijá»ĵ":128913,"Ġgần":128914,"Ġ×Ļ×ķ×Ŀ":128915,"ĠsÄ©":128916,"ÑĢÑıд":128917,"Ġquyá»ģn":128918,"Ġ×IJ׾×IJ":128919,"ÙĩÙħا":128920,"׳×Ļ×Ķ":128921,"׾×ķת":128922,"Ġ×Ķר×ij×Ķ":128923,"Ġtiên":128924,"Ġalın":128925,"Ġdá»ħ":128926,"人ãģĮ":128927,"ноÑģ":128928,"лÑģÑı":128929,"ĠÄijÆ°a":128930,"สาว":128931,"иÑĢован":128932,"Ġ×ŀספר":128933,"×Ĵף":128934,"Ġkiến":128935,"ĠШ":128936,"pé":128937,"бÑĥ":128938,"овой":128939,"ба":128940,"ĠØ¥ÙĦا":128941,"×IJ׾×Ļ":128942,"Ġxây":128943,"Ġbợi":128944,"Ġש×ķ":128945,"人ãģ®":128946,"ק×Ļ×Ŀ":128947,"à¹Ģà¸Ķืà¸Ńà¸Ļ":128948,"Ġkhá":128949,"Ġ×ķ׾×Ķ":128950,"×ĵ×ķת":128951,"Ġ×¢×ij×ķר":128952,"ĠبشÙĥÙĦ":128953,"ĠÙĩÙĨاÙĥ":128954,"ÑĤÑĢа":128955,"ĠíķĺëĬĶ":128956,"รà¸Ńà¸ļ":128957,"owaÅĤ":128958,"hé":128959,"Ġdiá»ħn":128960,"Ġ×Ķ׼׾":128961,"Ġأس":128962,"Ġchuyá»ĩn":128963,"ระà¸Ķัà¸ļ":128964,"ĠNhững":128965,"Ġ×IJ×Ĺת":128966,"ĠØŃÙĪÙĦ":128967,"лов":128968,"׳ר":128969,"Ġ×ķ׳":128970,"ĠchÆ¡i":128971,"Ġiçinde":128972,"ÑģÑĤвÑĥ":128973,"Ġphá»ij":128974,"ĠÑģÑĥ":128975,"ç§ģãģ¯":128976,"Ġchứng":128977,"Ġvá»±c":128978,"à¹ģà¸Ń":128979,"ĠláºŃp":128980,"Ġtừng":128981,"å°ijãģĹ":128982,"ĠNguy":128983,"ĠNguyá»ħn":128984,"ĠÙģÙĬÙĩ":128985,"Ġба":128986,"×Ļ×Ļת":128987,"Ġ×ľ×¢×©×ķת":128988,"Ġ×ŀ׼":128989,"Ġnghiá»ĩm":128990,"Ġмного":128991,"Ġее":128992,"ëIJĺìĸ´":128993,"Ġlợi":128994,"Ġ׾׾×IJ":128995,"Ġ׼ף":128996,"ĠchÃŃ":128997,"ãģ§ãģ®":128998,"×Ĺ×ķ":128999,"ש×ķ×Ŀ":129000,"Ġ×ŀר":129001,"ĠÐĶлÑı":129002,"Åģ":129003,"Ġ׼×IJשר":129004,"ĠMá»Ļt":129005,"ĠÙĪاÙĦت":129006,"ĠìĿ´ëŁ°":129007,"ÅŁa":129008,"Ġchiến":129009,"Ġarasında":129010,"Ġ×ij×IJתר":129011,"ãģķãĤĮãģ¦ãģĦãĤĭ":129012,"Ø´ÙĥÙĦ":129013,"Ġtượng":129014,"Ġتت":129015,"ĠCó":129016,"Ġbá»ı":129017,"Ġtá»īnh":129018,"ĠkhÃŃ":129019,"ĠпÑĢоÑģÑĤ":129020,"ĠпÑĢоÑģÑĤо":129021,"ĠÙĪÙĤاÙĦ":129022,"Ġgiáo":129023,"ĠNếu":129024,"×IJ×ŀר":129025,"×¢×ł×Ļ×Ļף":129026,"íݸ":129027,"ÙĩدÙģ":129028,"ĠBá»Ļ":129029,"ĠbÃłn":129030,"Ġnguyên":129031,"Ġgüzel":129032,"สาย":129033,"ì²ľ":129034,"×ŀ×ķר":129035,"Ġphân":129036,"ספק":129037,"ק×ij׾":129038,"ĠاÙĦÙħتØŃ":129039,"ĠاÙĦÙħتØŃدة":129040,"ائد":129041,"Ġ×IJ×ŀר":129042,"ĠkiÅŁi":129043,"ì¤Ģ":129044,"Ġtruyá»ģn":129045,"ĠÙĦÙĩا":129046,"ĠÐľÐ°":129047,"à¸ļริษ":129048,"à¸ļริษั":129049,"à¸ļริษัà¸Ĺ":129050,"Ġש׳×Ļ×Ŀ":129051,"ĠменÑı":129052,"ÅŁe":129053,"Ġdiá»ĩn":129054,"Ġ×IJ׳×Ĺ׳×ķ":129055,"kü":129056,"Ġcá»ķ":129057,"Ġmá»Ĺi":129058,"wä":129059,"ÙħÙĬ":129060,"Ġhiá»ĥu":129061,"ëĭ¬":129062,"Ġ×Ķ×Ĺ׾":129063,"Ġtên":129064,"Ġkiá»ĩn":129065,"ÙĨÙĤÙĦ":129066,"Ġvá»ĩ":129067,"×ĵת":129068,"ĠÐłÐ¾ÑģÑģии":129069,"лÑĥ":129070,"ĠاÙĦعربÙĬØ©":129071,"ĠطرÙĬÙĤ":129072,"Ġ×Ķ×ij×Ļת":129073,"ÑģеÑĢ":129074,"Ġмне":129075,"äu":129076,"Ġtriá»ĩu":129077,"ĠÄijủ":129078,"Ġר×ij":129079,"تÙĩÙħ":129080,"à¸ĭี":129081,"Ġì§Ģê¸Ī":129082,"liÅĽmy":129083,"دعÙħ":129084,"ãģłãĤįãģĨ":129085,"Ñģкие":129086,"Ġhá»ıi":129087,"Ġק×ķ":129088,"ÑĢÑĥÑģ":129089,"ÙĨظر":129090,"ãģ®ãĤĤ":129091,"Ġ×Ķ׼×Ļ":129092,"ĠìĽIJ":129093,"ÙĪÙĩ":129094,"ĠÙĪÙİ":129095,"ĠBạn":129096,"плаÑĤ":129097,"Ġ×ŀ×ŀש":129098,"лÑİб":129099,"ĠнÑĥжно":129100,"ĠthÆ°":129101,"ãģµ":129102,"ãģıãĤīãģĦ":129103,"رش":129104,"ר×ķ×Ĺ":129105,"ĠÙĬتÙħ":129106,"Ġצר×Ļ×ļ":129107,"Ġphá":129108,"มà¸Ńà¸ĩ":129109,"Ġ×ij×IJ×ķפף":129110,"Ġcảnh":129111,"Ġíķľëĭ¤":129112,"Ġ×Ķ×ŀת":129113,"à¸ķà¹Īาà¸ĩà¹Ĩ":129114,"มีà¸ģาร":129115,"ÑģкиÑħ":129116,"ĠÐĴÑģе":129117,"ĠاÙĪ":129118,"جÙĬ":129119,"ãģĵãģ¨ãģ¯":129120,"ĠdÃłi":129121,"Ġhá»ĵ":129122,"èĩªåĪĨãģ®":129123,"à¹Ħหà¸Ļ":129124,"ëĵ¤ìĿĦ":129125,"ĠVÄĥn":129126,"Ġдаж":129127,"Ġдаже":129128,"Ñĭми":129129,"лаÑģÑĮ":129130,"ÙĬÙĪÙĨ":129131,"ÙĨÙĪ":129132,"có":129133,"ãģĹãģ¦ãģĦãģŁ":129134,"ãģłãģĭãĤī":129135,"طاÙĦب":129136,"Ġcá»Ńa":129137,"пÑĢоÑģ":129138,"ãģªãģ©ãģ®":129139,"รุà¹Īà¸Ļ":129140,"Ġchiếc":129141,"лÑĭ":129142,"ĠÑıвлÑıеÑĤÑģÑı":129143,"Ġná»ķi":129144,"ãģ®ãģĬ":129145,"Ġ×IJת×Ŀ":129146,"ĠëķĮ문ìĹIJ":129147,"à¸ģลาà¸ĩ":129148,"ĠbaÅŁka":129149,"ìĦĿ":129150,"ĠÑĨел":129151,"ÙģÙĤ":129152,"ãģ«ãĤĪãĤĭ":129153,"ÙĤا":129154,"Ġçıkar":129155,"Ġcứu":129156,"طا":129157,"Ġשת":129158,"à¹Ĥà¸Ħ":129159,"Ġ×ŀ׾":129160,"Ġ×Ķפר":129161,"Ġгде":129162,"Ġخط":129163,"åīįãģ«":129164,"cjÄĻ":129165,"Ġ×Ĺש×ķ×ij":129166,"ר×Ĵ×¢":129167,"Ġkhoảng":129168,"ĠÄijá»Ŀi":129169,"ĠÐłÐµ":129170,"Ġона":129171,"Ġ×IJ׳×ķ":129172,"ãģ®ãģ«":129173,"ĠاÙĦØ°ÙĬÙĨ":129174,"кÑĥп":129175,"ãĤµãĥ¼ãĥ":129176,"ãĤµãĥ¼ãĥĵ":129177,"ãĤµãĥ¼ãĥĵãĤ¹":129178,"вал":129179,"ге":129180,"Ġgiữa":129181,"ĠKhông":129182,"ĠâĹĭ":129183,"à¸ģลุà¹Īม":129184,"ĠÙħÙĨØ°":129185,"à¸Ńà¹Īาà¸Ļ":129186,"ĠÑģпоÑģоб":129187,"ĠÄijá»Ļi":129188,"ĠdiÄŁer":129189,"Ġà¸ĸà¹īา":129190,"ÙħØ«ÙĦ":129191,"Ġ×Ķ×IJ×Ļ":129192,"ĠدÙĪÙĨ":129193,"ÙĬراÙĨ":129194,"Ñīи":129195,"بÙĨاء":129196,"Ġآخر":129197,"ظÙĩر":129198,"Ġ×ij׼":129199,"ĠاÙĦÙħع":129200,"ãĥĴ":129201,"Ġtất":129202,"Ġmục":129203,"ĠdoÄŁru":129204,"ãģŁãĤī":129205,"Ġס×ķ":129206,"Ġxác":129207,"รà¸Ń":129208,"ĠcÄĥn":129209,"Ġонл":129210,"Ġонлайн":129211,"Ġký":129212,"Ġchân":129213,"Ġà¹Ħมà¹Ī":129214,"اØŃØ©":129215,"rán":129216,"׳×Ļ×Ļ×Ŀ":129217,"Ġ×ijף":129218,"ĠÐĸ":129219,"à¸ķรà¸ĩ":129220,"дÑĭ":129221,"Ġsắc":129222,"ÙĦت":129223,"ãĥŃãĥ¼":129224,"ĠÙĦÙĨ":129225,"Ġר×ķ":129226,"ĠdÆ°á»Ľi":129227,"à¹Ģà¸ĺ":129228,"à¹Ģà¸ĺà¸Ń":129229,"eÄŁi":129230,"Ġ×ķש":129231,"ĠÙĦØ£":129232,"Ġgặp":129233,"Ġcá»ij":129234,"ãģ¨ãģ¦ãĤĤ":129235,"رÙĪس":129236,"Ġ׾×Ķ×Ļ":129237,"Ġ본":129238,"ä¸ĬãģĴ":129239,"Ġmức":129240,"Ñħа":129241,"Ġìŀ¬":129242,"à¸īัà¸Ļ":129243,"ÑĢÑĥж":129244,"Ġaçık":129245,"ÙĪاÙĦ":129246,"Ġ×ĸ×ŀף":129247,"人ãģ¯":129248,"عÙĬÙĨ":129249,"ÑıÑħ":129250,"Ġ×Ĵ×ĵ×ķ׾":129251,"ר×ķ×ij":129252,"gó":129253,"ëĿ¼ê³ł":129254,"ĠarkadaÅŁ":129255,"ÙĨشر":129256,"ĠгодÑĥ":129257,"ĠболÑĮÑĪе":129258,"ãģ¡ãĤĩãģ£ãģ¨":129259,"Ġcâu":129260,"Ġsát":129261,"íĶ¼":129262,"Ġtiến":129263,"íķ´ìķ¼":129264,"ĠÙĪØ£ÙĨ":129265,"à¸Ļาà¸Ļ":129266,"Ġ×ij×IJ×ŀצע":129267,"Ġ×ij×IJ×ŀצע×ķת":129268,"Ġ׾ר":129269,"Ġquản":129270,"ĠÙĪاÙĦØ£":129271,"Ġ×IJ×ķת×Ķ":129272,"Ġìĸ´ëĸ¤":129273,"Ġê²ĥìĿĢ":129274,"ØŃسÙĨ":129275,"Ġmất":129276,"à¸Ħูà¹Ī":129277,"ãĥ¬ãĥ¼":129278,"ĠÐĶа":129279,"Ġolması":129280,"Ġthuá»Ļc":129281,"׳×Ĺ":129282,"íĨł":129283,"Ġsöyle":129284,"ãģĿãģĨãģ§ãģĻ":129285,"ĠتÙĥÙĪÙĨ":129286,"лÑĥÑĩ":129287,"׾×Ļ×ļ":129288,"ĠØ£ØŃد":129289,"лиÑģÑĮ":129290,"ĠвÑģего":129291,"Ġ×Ķר×ij":129292,"Ġ못":129293,"oÄŁ":129294,"oÄŁlu":129295,"ĠìĦł":129296,"ĠкаÑĢ":129297,"à¸łà¸²à¸Ħ":129298,"eÅĦ":129299,"Ġà¸ģà¹ĩ":129300,"Ġaynı":129301,"ĠbÃł":129302,"ãģªãĤĵãģ¦":129303,"Ġ모ëĵł":129304,"ÙĤرار":129305,"ãģĹãģªãģĦ":129306,"ĠÐĴо":129307,"ĠÙĪÙĩÙĬ":129308,"ники":129309,"ãĤĮãģŁ":129310,"Ġchuẩn":129311,"רע":129312,"ÙģرÙĬÙĤ":129313,"ãĤĴåıĹãģij":129314,"ĠÄijúng":129315,"бе":129316,"׼×ķ×Ĺ":129317,"пÑĥ":129318,"Ġ×ķ×Ĵ×Ŀ":129319,"×ŀ׳×Ļ":129320,"íĸ¥":129321,"צ×Ļ×Ŀ":129322,"à¸ĭิ":129323,"ÙĩÙĨ":129324,"нем":129325,"Ġ×ij×ij×Ļת":129326,"رع":129327,"Ġส":129328,"ĠÄIJÃł":129329,"íķĺëĭ¤":129330,"Ġấy":129331,"×Ĺ×ķ×ĵ":129332,"×Ĺ×ķ×ĵש":129333,"ĠÑĩеÑĢез":129334,"Ñĥл":129335,"ĠBình":129336,"Ġê²ĥìĿĦ":129337,"Ġ×Ĵר":129338,"ä»ĺãģij":129339,"×Ĺ׾ק":129340,"ĠتÙĦÙĥ":129341,"à¹ĥสà¹Ī":129342,"szÄħ":129343,"ÙĤاÙħ":129344,"دÙĪر":129345,"ĠÙģÙĤØ·":129346,"Ġhữu":129347,"ĠмогÑĥÑĤ":129348,"Ġgá»įi":129349,"Ġקר":129350,"à¸Īะมี":129351,"تÙĤدÙħ":129352,"Ġعبر":129353,"Ġ׾×Ķ×Ŀ":129354,"ĠÑģамо":129355,"ס×ĵר":129356,"ĠcÃłng":129357,"rÃŃ":129358,"Ġìŀ¥":129359,"ëĵ¤ìĿĺ":129360,"ĠÙĦÙĥ":129361,"поÑĢÑĤ":129362,"Ġkhả":129363,"ĠÑģебÑı":129364,"׳ף":129365,"ĠدÙĪر":129366,"Ġmợ":129367,"Ġcây":129368,"Ġfark":129369,"Ġfarklı":129370,"аÑİÑĤ":129371,"Ġtrá»±c":129372,"wiÄĻksz":129373,"Ġthuá»ijc":129374,"ĠتØŃت":129375,"تÙĦ":129376,"овÑĭе":129377,"ëĤł":129378,"Ġвам":129379,"بÙĦغ":129380,"Ġê°ĻìĿĢ":129381,"íĮIJ":129382,"ÙĦب":129383,"Ġnasıl":129384,"Ġодин":129385,"ман":129386,"ĠعÙĦÙĬÙĩا":129387,"би":129388,"Ġפש×ķ×ĺ":129389,"×ijר×Ļ":129390,"Ġש׳×Ķ":129391,"ĠëıĦ":129392,"ĠÄIJại":129393,"Ġ×IJ×ķת×Ŀ":129394,"ĠاÙĦØŃر":129395,"Ġбо":129396,"à¸Īุà¸Ķ":129397,"Ġrõ":129398,"ĠdeÄŁiÅŁ":129399,"Ġëĭ¨":129400,"ĠÑģлÑĥÑĩа":129401,"ĠÑģлÑĥÑĩае":129402,"Ġ×IJ׳ש×Ļ×Ŀ":129403,"×ĵ×£":129404,"ש×ijת":129405,"Ġש׾׼×Ŀ":129406,"Ġchú":129407,"ników":129408,"Ġtanı":129409,"Ġcáo":129410,"ĠÄijá":129411,"Ġ×IJ×ĵ×Ŀ":129412,"Ġê°ķ":129413,"Ġnhiá»ĩm":129414,"Ġ×ľ×¡":129415,"Ġ×Ľ×ª×ij":129416,"Ġ×Ķספר":129417,"ĠÄijÄĥng":129418,"ĠëijIJ":129419,"à¸ľà¸´":129420,"à¸ľà¸´à¸§":129421,"جا":129422,"Ġê°IJ":129423,"رأ":129424,"ستخدÙħ":129425,"ãģ«ãģªãĤĬãģ¾ãģĻ":129426,"Ġtá»·":129427,"×ĺ×ķר":129428,"говоÑĢ":129429,"ĠвоÑģ":129430,"ĠÙħÙĨÙĩا":129431,"иÑĢоваÑĤÑĮ":129432,"ĠÄijầy":129433,"׳×Ĵ":129434,"ĠÙħÙĪ":129435,"ĠÙħÙĪÙĤع":129436,"ר׼×Ļ":129437,"تÙı":129438,"모":129439,"Ġת×ķ":129440,"ÙĬاÙĭ":129441,"à¹ĥà¸Ķ":129442,"ãĤĬãģ¾ãģĻ":129443,"à¸Ńยูà¹Īà¹ĥà¸Ļ":129444,"ĠØ£ÙĪÙĦ":129445,"ĠأخرÙī":129446,"ĠcÆ°":129447,"صار":129448,"×ŀ×Ĺש×ij":129449,"бÑĢа":129450,"ÅĦski":129451,"бÑĢ":129452,"ĠÙĬÙı":129453,"à¸ģิà¸Ļ":129454,"Ġchá»ijng":129455,"ÙħÙı":129456,"Ġà¸Ħืà¸Ń":129457,"ĠتÙĨ":129458,"tÃŃ":129459,"yÄĩ":129460,"Ġmạng":129461,"ÙģÙĪ":129462,"Ġdünya":129463,"קר×IJ":129464,"Ġק׾":129465,"ĠØŃاÙĦ":129466,"cÃŃa":129467,"Ġà¹Ģรา":129468,"Ġר×ķצ×Ķ":129469,"Ġáp":129470,"ë°ķ":129471,"اÙĤØ©":129472,"ниÑİ":129473,"Ġ×IJ׾×ķ":129474,"Ġ×ŀס×ķ":129475,"ãģ§ãģ¯ãģªãģı":129476,"Ġtrả":129477,"Ġקשר":129478,"miÅŁtir":129479,"ĠlÆ°u":129480,"Ġhá»Ĺ":129481,"ĠбÑĭли":129482,"Ġlấy":129483,"عÙĦÙħ":129484,"Ġözel":129485,"æ°ĹãģĮ":129486,"Ġ×ĵר×ļ":129487,"Ùħد":129488,"sını":129489,"׳×ķש×IJ":129490,"rów":129491,"ÑĩеÑĢ":129492,"êµIJìľ¡":129493,"ĠÐľÐ¾":129494,"лег":129495,"ĠVỼi":129496,"วัà¸Ļà¸Ļีà¹ī":129497,"ÑİÑīие":129498,"ãģĬãģĻ":129499,"ãģĬãģĻãģĻ":129500,"ãģĬãģĻãģĻãĤģ":129501,"ëıħ":129502,"Ġ×Ļ×Ķ×Ļ×Ķ":129503,"×ŀ×ĺר":129504,"Ñıми":129505,"Ġlá»±a":129506,"ĠÄijấu":129507,"à¹Ģสียà¸ĩ":129508,"ĠtÆ°Æ¡ng":129509,"ëĵ±":129510,"ĠÑģÑĤаÑĢ":129511,"à¹ĥà¸ļ":129512,"วัà¸Ķ":129513,"ĠÄ°stanbul":129514,"Ġà¸Īะ":129515,"à¸ķลาà¸Ķ":129516,"ĠبÙĬ":129517,"à¹ģà¸Ļะ":129518,"à¹ģà¸Ļะà¸Ļำ":129519,"ساعد":129520,"Ġبأ":129521,"Ġkiá»ĥm":129522,"ØŃسب":129523,"à¸Ĭัà¹īà¸Ļ":129524,"Ġ×ķ×¢×ķ×ĵ":129525,"овÑĭÑħ":129526,"оÑģнов":129527,"ĠtrÆ°á»Łng":129528,"צ×ij×¢":129529,"ĠÃŃt":129530,"Ġkỹ":129531,"cré":129532,"Ñıм":129533,"êµ°":129534,"ãģĮãģªãģĦ":129535,"ÙĬÙĦØ©":129536,"ãĥķãĤ£":129537,"رÙī":129538,"ĠÙĬجب":129539,"Ġ×IJ×£":129540,"Ġcá»±c":129541,"ãĤīãĤĮãģŁ":129542,"Ġà¸ľà¸¹à¹ī":129543,"Ġà¸Ń":129544,"larımız":129545,"Ġkadın":129546,"Ġê·¸ëŀĺ":129547,"Ġê·¸ëŀĺìĦľ":129548,"ĠëĺIJëĬĶ":129549,"ĠÄijả":129550,"ĠÄijảm":129551,"Ġ×IJ×ķ×ŀר":129552,"Ġyếu":129553,"ciÄħ":129554,"ciÄħg":129555,"Ġtá»ij":129556,"Ġש×IJ׳×Ļ":129557,"ĠdziaÅĤa":129558,"Ñīа":129559,"ĠÄijÃłn":129560,"sına":129561,"ãģĵãĤĮãģ¯":129562,"Ġ×ij׾×Ļ":129563,"Ġ×ij×Ļשר×IJ׾":129564,"лоÑģÑĮ":129565,"Ġgiữ":129566,"ê°IJ":129567,"ÑĢон":129568,"تجار":129569,"глав":129570,"вин":129571,"Ġhạn":129572,"Ġyapılan":129573,"بس":129574,"Ġà¸ŀรà¹īà¸Ńม":129575,"ê´Ģ리":129576,"mÄ±ÅŁtır":129577,"bü":129578,"rück":129579,"ĠBaÅŁkanı":129580,"ĠÙĦÙĬس":129581,"ĠsÆ¡":129582,"à¸Īัà¸ĩหว":129583,"à¸Īัà¸ĩหวัà¸Ķ":129584,"داء":129585,"Ġ×Ķ׼":129586,"vÃŃ":129587,"ש×IJר":129588,"ĠhÆ°á»Łng":129589,"Ġbóng":129590,"ĠChÃŃnh":129591,"Äħc":129592,"à¹Ģà¸ģีà¹Īยวà¸ģัà¸ļ":129593,"Ġtứ":129594,"Ġtức":129595,"ĠÑĨвеÑĤ":129596,"Ġtá»iji":129597,"ĠnghÄ©a":129598,"ÙĦاعب":129599,"دÙĦ":129600,"Ġפע×Ŀ":129601,"hör":129602,"à¸Ĭุà¸Ķ":129603,"à¸ŀู":129604,"à¸ŀูà¸Ķ":129605,"паÑģ":129606,"ĠÅŁu":129607,"ĠtÆ°á»Łng":129608,"خارج":129609,"Ġâm":129610,"ĠинÑĤеÑĢеÑģ":129611,"еннÑĭÑħ":129612,"×IJ׳×Ļ":129613,"بدأ":129614,"ëĿ¼ëĬĶ":129615,"ì¹´":129616,"æĸ¹ãģĮ":129617,"лив":129618,"Ġà¸Ħà¸Ļ":129619,"ער×ļ":129620,"à¸Ĥà¸Ńà¸ĩà¸Ħุà¸ĵ":129621,"пад":129622,"Ġcạnh":129623,"ĠëĤ¨":129624,"ĠÄijâu":129625,"Ġbiá»ĥu":129626,"ãĤĤãģĤãĤĭ":129627,"׾×Ĵ":129628,"Ġสำหรัà¸ļ":129629,"Ġxuá»ijng":129630,"ס×ķ":129631,"Ġذات":129632,"ĠÐľÐµ":129633,"عاÙĦÙħ":129634,"×IJס":129635,"بÙĬØ©":129636,"شا":129637,"ием":129638,"ĠNgÆ°á»Ŀi":129639,"íĺij":129640,"Ñģлов":129641,"Ġпа":129642,"Ġmẫu":129643,"ĠпÑĢоÑĨеÑģÑģ":129644,"ĠNhÃł":129645,"пÑĢоиз":129646,"пÑĢоизвод":129647,"à¸łà¸²à¸¢à¹ĥà¸Ļ":129648,"Ġà¸ļาà¸Ĺ":129649,"×ŀ׳×ķ":129650,"ĠоÑĢган":129651,"רצ×ķ":129652,"×ķ×ŀ×Ļ×Ŀ":129653,"Ġyazı":129654,"Ġdù":129655,"ãĥ¬ãĥ³":129656,"ÙĪÙĦÙĬ":129657,"ยู":129658,"Ġtrò":129659,"à¹Ģà¸ŀลà¸ĩ":129660,"Ġ×ŀ׾×IJ":129661,"à¸ķล":129662,"à¸ķลà¸Ńà¸Ķ":129663,"ĠÄijạt":129664,"Ġ×Ĺ×ĵש":129665,"póÅĤ":129666,"Ġ×ŀ×ĵ×Ļ":129667,"ujÄħc":129668,"×ŀ׳×Ķ׾":129669,"Ġש×ij×ķ":129670,"Ġ×Ķ×ŀשפ×ĺ":129671,"Ġ×IJ׾×Ķ":129672,"ĠÙĪØ°ÙĦÙĥ":129673,"à¹Ģà¸ŀราะ":129674,"ĠÄijoÃłn":129675,"Ġíķ¨ê»ĺ":129676,"Ġdục":129677,"شت":129678,"Ġula":129679,"ĠulaÅŁ":129680,"Ġquý":129681,"Ġ×Ķ×Ĵ×ĵ×ķ׾":129682,"à¸ķัà¹īà¸ĩà¹ģà¸ķà¹Ī":129683,"Ġשר":129684,"Ø´Ùĩد":129685,"׳ש×Ļ×Ŀ":129686,"à¸ŀล":129687,"رÙĪا":129688,"ãĤĮãģ¦":129689,"ĠниÑħ":129690,"Ġдела":129691,"ãģ§ãģįãģªãģĦ":129692,"ÅĤoż":129693,"×IJ×Ĺר":129694,"ì½Ķ":129695,"ãĤ¢ãĥĥãĥĹ":129696,"دÙģع":129697,"Ġtiá»ĩn":129698,"Ġkhá»ı":129699,"Ġkhá»ıe":129700,"ĠاÙĦعاÙħØ©":129701,"ãģ«ãģĤãĤĭ":129702,"ĠÄijá»Ļc":129703,"족":129704,"Ġcụ":129705,"йÑĤе":129706,"Ġзакон":129707,"ĠпÑĢоекÑĤ":129708,"ìĸ¸":129709,"ÙĦØŃ":129710,"ĠçalÄ±ÅŁma":129711,"ãĤĴãģĻãĤĭ":129712,"Ñħи":129713,"عاد":129714,"Ġ׳×ŀצ×IJ":129715,"Ġר×Ļ":129716,"à¸Ńà¸Ńà¸ģมา":129717,"ĠTôi":129718,"Ġthần":129719,"ĠÙĬا":129720,"ลาย":129721,"ĠавÑĤо":129722,"Ġsıra":129723,"ĠÙĥØ«ÙĬر":129724,"ÙħÙĬز":129725,"ĠاÙĦعÙĦÙħ":129726,"æĸ¹ãģ¯":129727,"×ķ×¢×ĵ":129728,"ĠоблаÑģÑĤи":129729,"×Ļ׾×Ļ×Ŀ":129730,"ãģĮåĩº":129731,"à¸ĺุ":129732,"à¸ĺุร":129733,"à¸ĺุรà¸ģิà¸Ī":129734,"ÙĤتÙĦ":129735,"ר×IJ×ķ":129736,"Ġngu":129737,"Ġnguá»ĵn":129738,"Ġมา":129739,"Ġплан":129740,"tório":129741,"Ġcuá»iji":129742,"Ñģком":129743,"ĠاÙĦÙħاض":129744,"ĠاÙĦÙħاضÙĬ":129745,"Ġ×ij×¢×ľ":129746,"Ġר×ij×Ļ×Ŀ":129747,"ĠluáºŃn":129748,"ÙĥÙĪ":129749,"à¸Ĺัà¹īà¸ĩหมà¸Ķ":129750,"ван":129751,"Ġthoại":129752,"à¹Ħà¸Ń":129753,"биÑĢ":129754,"ĠاÙĦض":129755,"تا":129756,"ĠÑĢод":129757,"ĠVÃł":129758,"×ŀ×Ļף":129759,"ĠбÑĭла":129760,"ками":129761,"ĠÐĶе":129762,"tık":129763,"קר×Ļ":129764,"ĠeÄŁitim":129765,"ĠÙĥبÙĬر":129766,"بÙĥ":129767,"ĠÙĦÙĪ":129768,"вой":129769,"Ġãģĵãģ®":129770,"ĠÑĤÑĢÑĥд":129771,"myÅĽl":129772,"ĠsÆ°":129773,"à¸ŀีà¹Ī":129774,"Ġà¹ģลà¹īว":129775,"עק":129776,"Ġ×Ĺ×ijרת":129777,"ระหว":129778,"ระหวà¹Īาà¸ĩ":129779,"×Ļ×Ļ×Ķ":129780,"ĠاÙĦÙĨاس":129781,"ünü":129782,"Ġ׾×ŀ×Ķ":129783,"ĠchÆ°Æ¡ng":129784,"ĠHá»ĵ":129785,"ارت":129786,"ãĤĪãģĨãģ§ãģĻ":129787,"lá":129788,"ק×Ļ×Ļ×Ŀ":129789,"æľ¬å½ĵ":129790,"æľ¬å½ĵãģ«":129791,"ãģĵãĤĵãģª":129792,"Ñģов":129793,"Ġ×ķ×Ĺ":129794,"à¹Ģà¸ģà¹ĩà¸ļ":129795,"ĠкÑĤо":129796,"à¹Ĥรà¸Ħ":129797,"ĠشرÙĥØ©":129798,"عزÙĬ":129799,"عزÙĬز":129800,"Ø·ÙĦÙĤ":129801,"пÑĥÑģÑĤ":129802,"ÙģتØŃ":129803,"ëŀĢ":129804,"Ġhãy":129805,"ضÙħ":129806,"린":129807,"åł´åIJĪãģ¯":129808,"ãĤªãĥ¼":129809,"Ġhắn":129810,"Ġ×IJ×ij×Ļ×ij":129811,"Ġש׾×Ķ×Ŀ":129812,"Ġ×Ķ×Ļ×Ļת×Ķ":129813,"ĠاÙĦدÙĪÙĦØ©":129814,"ĠاÙĦÙĪÙĤ":129815,"ĠاÙĦÙĪÙĤت":129816,"ãģĤãģ¾ãĤĬ":129817,"ĠtaÅŁÄ±":129818,"Ä°N":129819,"עסק":129820,"ãģ¦ãģĦãģŁ":129821,"Ġtá»ķng":129822,"ĠاÙĦØ¥ÙĨس":129823,"ĠاÙĦØ¥ÙĨساÙĨ":129824,"ÑĢеÑĪ":129825,"Ġgái":129826,"ĠÑĨен":129827,"ĠÙģÙĤد":129828,"Ùħات":129829,"ãģķãĤĵãģ®":129830,"Ġphù":129831,"×ĺ×Ķ":129832,"ĠÙĪاÙĦتÙĬ":129833,"ĠبÙĥ":129834,"ìĿ´ëĤĺ":129835,"кÑģ":129836,"ÙħÙĬر":129837,"Ġvùng":129838,"ĠاÙĦشعب":129839,"ĠNhÆ°ng":129840,"ãĥĢãĥ¼":129841,"Ġ×Ĺ×Ļ×Ļ×Ŀ":129842,"Ġشخص":129843,"ק×ķ×ĵ":129844,"ê²Ģ":129845,"עש":129846,"×¢×ķ׾×Ŀ":129847,"צ×ķר":129848,"عÙĤد":129849,"ĠiÅŁlem":129850,"Ġ×Ķ×ij×IJ":129851,"Ġdưỡng":129852,"à¸Łà¸£à¸µ":129853,"ĠphÃŃa":129854,"ãģ®ä¸Ńãģ§":129855,"Ġпи":129856,"ĠngÃłnh":129857,"нима":129858,"ĠÙĩÙĦ":129859,"Ġ×ķ×IJת":129860,"ĠÄijáng":129861,"équipe":129862,"ĠÑįÑĤоÑĤ":129863,"Ġgörev":129864,"매":129865,"Ġquân":129866,"å¼ķãģį":129867,"æĻĤãģ«":129868,"ĠبÙħا":129869,"×ŀ×Ļת":129870,"Ġülke":129871,"Ġ×ŀק×ķ×Ŀ":129872,"×ijף":129873,"æ°ĹæĮģãģ¡":129874,"Ġë§İìĿĢ":129875,"Ġyüksek":129876,"ÑĨенÑĤÑĢ":129877,"ĠÙħجÙĦس":129878,"ç§ģãģ®":129879,"ÙĤدر":129880,"Ġë¶Ģë¶Ħ":129881,"Ġì°¨":129882,"خرج":129883,"ãģĭãģªãĤĬ":129884,"ë³´ëĭ¤":129885,"Ġ×ŀ×Ļ×ĵ×¢":129886,"peÅĤni":129887,"Ġxá»Ń":129888,"ìĹIJìĦľëĬĶ":129889,"ĠباÙĦÙħ":129890,"ĠÙĪÙħا":129891,"ĠÑįÑĤой":129892,"بÙĬÙĨ":129893,"nü":129894,"ØŃز":129895,"ØŃزب":129896,"ĠÑĢабоÑĤа":129897,"ĠNháºŃt":129898,"ÙĦاء":129899,"Ġëĵ¤":129900,"Ġëĵ¤ìĸ´":129901,"ãĤĦãģĻãģĦ":129902,"×Ĺ×ĸק":129903,"Ġ×Ķ×Ĺ×ijר×Ķ":129904,"пиÑĤ":129905,"ãģĭãĤīãģ®":129906,"Ġë§IJìĶĢ":129907,"Ġפ×ķ":129908,"ÙĦÙİ":129909,"à¹Ģà¸ķà¹ĩม":129910,"ĠÐļо":129911,"Ġmówi":129912,"ĠtÃŃn":129913,"ר×Ĵש":129914,"פרק":129915,"Ġtrạng":129916,"ĠÐŀн":129917,"×Ĺ×ķ×¥":129918,"ĠعÙĨدÙħا":129919,"Ġبر":129920,"使ãģĦ":129921,"Ġrá»Ļng":129922,"ëĮĢë¡ľ":129923,"íĪ¬":129924,"Ġktórych":129925,"вид":129926,"ลูà¸ģà¸Ħà¹īา":129927,"ĠmogÄħ":129928,"Ġש×Ĺ":129929,"×ij×Ĺר":129930,"ãĥĸãĥŃãĤ°":129931,"ĠThÃłnh":129932,"Ġ×Ķר×Ļ":129933,"ĠÑģÑĤаÑĤÑĮ":129934,"ĠHá»Ļi":129935,"à¸ļà¹īาà¸ĩ":129936,"çī¹ãģ«":129937,"ĠÄIJức":129938,"èĢħãģ®":129939,"×¢×ŀ×ķ×ĵ":129940,"×ĺר×Ķ":129941,"Ð¥":129942,"ĠÙħÙħا":129943,"ĠeÅŁ":129944,"ĠнеобÑħодимо":129945,"ников":129946,"Ġüzerinde":129947,"aÅĤa":129948,"Ġchá»ĭu":129949,"ĠاÙĦدÙĬÙĨ":129950,"أخبار":129951,"ĠÄijau":129952,"ãģĮå¤ļãģĦ":129953,"jÄħcych":129954,"دخÙĦ":129955,"larınd":129956,"larından":129957,"Ġsẻ":129958,"à¸ŀิà¹Ģศ":129959,"à¸ŀิà¹Ģศษ":129960,"×ª×Ł":129961,"tıģı":129962,"ĠluáºŃt":129963,"ĠÅŀe":129964,"ãĤ«ãĥ¼":129965,"ãģ®ãģĤãĤĭ":129966,"Ġ×Ķ×IJתר":129967,"ĠاÙĦØ¢ÙĨ":129968,"ıldı":129969,"Ġáo":129970,"ĠнаÑĩал":129971,"Ġviá»ĩn":129972,"Ġ×ij×¢×ķ׾×Ŀ":129973,"знаÑĩ":129974,"×Ļ×ĺ×Ķ":129975,"кам":129976,"ĠÐĺз":129977,"à¹Ģà¸Ĥียà¸Ļ":129978,"à¸Ļà¹īà¸Ńà¸ĩ":129979,"ÑĤÑĢо":129980,"à¹Ģà¸Ł":129981,"Ġжизни":129982,"Ġสà¹Īวà¸Ļ":129983,"ĠváºŃn":129984,"Ġê´Ģ볨":129985,"Ġlâu":129986,"ס×ĺר":129987,"קש":129988,"سÙĬر":129989,"Ġ×IJ×ķת×Ļ":129990,"Ġmôi":129991,"ائب":129992,"ĠоÑģÑĤа":129993,"Ġmón":129994,"Ġ×ij×ŀק×ķ×Ŀ":129995,"ĠداخÙĦ":129996,"Ġ×IJ×ķר":129997,"ĠваÑģ":129998,"ÙĥØ´Ùģ":129999,"ìĺ¨":130000,"à¸ĸà¹Īาย":130001,"Ġkullanıl":130002,"Ġtô":130003,"ãģ«ãĤĪãĤĬ":130004,"ĠëĺIJíķľ":130005,"Ġ×¢×ij×ķ×ĵ×Ķ":130006,"Ġriê":130007,"Ġriêng":130008,"Ġyakın":130009,"زا":130010,"Å»":130011,"×IJ×ķ׼׾":130012,"شارÙĥ":130013,"ĠбеÑģ":130014,"×´":130015,"ĠابÙĨ":130016,"ĠTá»ķng":130017,"ÙĨظ":130018,"ÅĽwiad":130019,"ãĤµãĥ¼":130020,"หาย":130021,"ĠGün":130022,"Ġhakkında":130023,"à¹Ģà¸Ĥà¹īามา":130024,"زÙĨ":130025,"ĠÐłÐ¾":130026,"Ġbiá»ĥn":130027,"ãģ©ãģĵ":130028,"ÙģعÙĦ":130029,"زع":130030,"פר×ĺ":130031,"Ġ×Ķף":130032,"Ø£ÙĩÙĦ":130033,"Ġthất":130034,"ØŃÙħÙĦ":130035,"ÑĩÑĥ":130036,"ĠìĤ¬ìĭ¤":130037,"ì°¸":130038,"ĠìľĦíķ´":130039,"ÙĪظ":130040,"ĠÐŁÐ¾Ð´":130041,"Ġkhoản":130042,"ÑĤен":130043,"ĠÙģاÙĦ":130044,"Ñģад":130045,"à¸Ļà¸Ńà¸Ļ":130046,"ĠاÙĦسعÙĪدÙĬØ©":130047,"\"ØĮ":130048,"ĠاÙĦÙĴ":130049,"ãĤīãģļ":130050,"Ġtoán":130051,"Ġchắc":130052,"׼×Ļר":130053,"méd":130054,"média":130055,"زÙĪ":130056,"Ġyanı":130057,"פ׳×Ļ×Ŀ":130058,"ØŃظ":130059,"ĠбеÑģп":130060,"ĠбеÑģплаÑĤ":130061,"ĠбеÑģплаÑĤно":130062,"ĠØ£ÙħاÙħ":130063,"à¸Ńาย":130064,"à¸Ńายุ":130065,"רשת":130066,"Ġgá»ĵ":130067,"Ġgá»ĵm":130068,"Ġuá»ijng":130069,"صب":130070,"kır":130071,"ãĥijãĥ¼":130072,"Ġ׾×ĵעת":130073,"ĠкÑĥпиÑĤÑĮ":130074,"׾×ķ×Ĺ":130075,"ÙĪضع":130076,"ÙĤÙĬÙħ":130077,"à¸Ľà¸²":130078,"жив":130079,"à¸Ķิà¸Ļ":130080,"×IJ×ķפ":130081,"à¹Ģลà¹ĩà¸ģ":130082,"ãĥĥãĥī":130083,"иÑĩеÑģкиÑħ":130084,"ĠChủ":130085,"кÑĢаÑģ":130086,"ÙĪصÙĦ":130087,"pÅĤat":130088,"моÑĢ":130089,"Ġ×Ķ×IJ×ķ":130090,"à¸Ńิà¸Ļ":130091,"ĠíķľêµŃ":130092,"гÑĢе":130093,"Ġìłľê³µ":130094,"ì°½":130095,"Ġê°ľìĿ¸ìłķë³´":130096,"Ġnghá»ĭ":130097,"à¸ĭา":130098,"ØŃساب":130099,"ĠbyÅĤa":130100,"ÙħÙĦÙĥ":130101,"иÑĩеÑģкие":130102,"Ġbác":130103,"ضØŃ":130104,"길":130105,"ש×ŀ×¢":130106,"Ġìĸ´ëĸ»":130107,"Ġìĸ´ëĸ»ê²Į":130108,"ìĽĮ":130109,"اتÙĩ":130110,"à¹Ĥรà¸ĩà¹ģ":130111,"à¹Ĥรà¸ĩà¹ģรม":130112,"خدÙħØ©":130113,"ĠÐłÐ°":130114,"׼×ķ׾×Ŀ":130115,"×ŀש×Ĺק":130116,"ĠÙĪÙĥاÙĨ":130117,"ס×ķ×£":130118,"ĠاÙĦØŃÙĥÙĪÙħØ©":130119,"Ġ×ij×ĺ":130120,"ĠtráºŃn":130121,"Ġ×Ķ×¢×ķ׾×Ŀ":130122,"ĠÃŃch":130123,"tÄħ":130124,"ש×ŀ×ķ":130125,"Ġ×Ķר×IJש×ķף":130126,"Ġíķĺê³ł":130127,"ãģķãĤī":130128,"ãģķãĤīãģ«":130129,"ãģ«ãģĹãģ¦":130130,"Ġà¸ľà¸¡":130131,"ãģ®ãĤĪãģĨãģª":130132,"ĠÙĪÙĤت":130133,"ãĥįãĥĥãĥĪ":130134,"ÙĦعب":130135,"ÙĪØ´":130136,"ìĺ¬":130137,"Ġหาà¸ģ":130138,"ĠmiaÅĤ":130139,"à¸Ĺà¸Ńà¸ĩ":130140,"иÑĤа":130141,"اصر":130142,"илÑģÑı":130143,"зе":130144,"à¸Ľà¸£à¸°à¸¡à¸²à¸ĵ":130145,"ãģĿãĤĮãģ¯":130146,"Ġbır":130147,"Ġbırak":130148,"صÙĨاع":130149,"Ю":130150,"شعر":130151,"Ġ׳×Ĵ×ĵ":130152,"Ġبسبب":130153,"ãĥĿãĤ¤":130154,"ãĥĿãĤ¤ãĥ³ãĥĪ":130155,"ĠاÙĦجÙĪ":130156,"ĠнеÑģколÑĮко":130157,"Ġkiếm":130158,"ÙģÙİ":130159,"Ġضد":130160,"×ij×Ļ×ĺ×ķ×Ĺ":130161,"تابع":130162,"ÙĨز":130163,"ĠBản":130164,"Ġaçıkl":130165,"Ġaçıklama":130166,"Ġà¸Ħุà¸ĵ":130167,"à¸Ĺา":130168,"ÅĤów":130169,"طب":130170,"ÙĨØŃÙĨ":130171,"Ġ×ŀק×ķר":130172,"ĠÄ°s":130173,"Ġдома":130174,"Ġวัà¸Ļ":130175,"ĠdÃłnh":130176,"Ñıн":130177,"миÑĢ":130178,"Ġmô":130179,"ĠvÃłng":130180,"صاب":130181,"sının":130182,"à¸Ħืà¸Ļ":130183,"خبر":130184,"×ĸ׼×ķ":130185,"Ġ×ŀש×Ķ×ķ":130186,"mü":130187,"Ġкомпании":130188,"Ġ×Ķ×¢×Ļר":130189,"ĠÙĥÙĪ":130190,"ÙĤÙĦب":130191,"ĠlỼp":130192,"ики":130193,"׳×ij":130194,"à¹Ĥà¸Ħร":130195,"à¹Ĥà¸Ħรà¸ĩ":130196,"à¹Ĥà¸Ħรà¸ĩà¸ģาร":130197,"×ŀ×ķ×¢×ĵ":130198,"ÑıÑĤÑģÑı":130199,"หลัà¸ĩà¸Īาà¸ģ":130200,"ениÑİ":130201,"Ġשע":130202,"ĠbÆ°á»Ľc":130203,"ãĥ¡ãĥ¼ãĥ«":130204,"ãĤĦãĤĬ":130205,"Ġ×Ļ×ķ×ĵ×¢":130206,"Ġê´Ģíķľ":130207,"ĠاÙĦØ£Ùħر":130208,"Ġbölge":130209,"ĠÑģвой":130210,"ÙĦس":130211,"Ġ×ŀ×Ļ×ķ×Ĺ×ĵ":130212,"ĠëĤ´ìļ©":130213,"ĠأجÙĦ":130214,"ĠÄIJông":130215,"Ġ×ŀ×ł×ª":130216,"Ġìĭľê°Ħ":130217,"ÙĥÙİ":130218,"ãģ¨ãģĦãģĨãģ®ãģ¯":130219,"Ġnależy":130220,"تÙĨظÙĬÙħ":130221,"ĠÑģозда":130222,"Ġphé":130223,"Ġphép":130224,"ãģ§ãģįãģ¾ãģĻ":130225,"ĠعÙĦÙħ":130226,"大ãģįãģª":130227,"ãĤ²ãĥ¼ãĥł":130228,"íħĮ":130229,"Ġ׼×ķ׾׾":130230,"ĠинÑĤеÑĢнеÑĤ":130231,"ĠTừ":130232,"ãģ¨ãģªãĤĭ":130233,"زاÙĦ":130234,"Ġktórym":130235,"Ġnhé":130236,"ìĪľ":130237,"нев":130238,"деÑĢ":130239,"ãĤ¢ãĥĹãĥª":130240,"iá»ĩu":130241,"×ij×Ļ׾":130242,"Ġتس":130243,"ĠÄIJây":130244,"ĠاÙĦخاصة":130245,"Ġà¹Ģà¸Ĭ":130246,"Ġà¹Ģà¸Ĭà¹Īà¸Ļ":130247,"صاد":130248,"Ġdạng":130249,"سعر":130250,"Ġש×Ļ×ŀ×ķש":130251,"×Ĵ×Ļ×Ŀ":130252,"ãģĮãģĤãģ£ãģŁ":130253,"пÑĢов":130254,"пÑĢовод":130255,"Ġ×IJ×Ļ׳×ķ":130256,"Ġ׾ר×IJ":130257,"Ġ׾ר×IJ×ķת":130258,"ĠØ£ÙģضÙĦ":130259,"ĠØŃÙĦ":130260,"ĠأبÙĪ":130261,"ê°ķ":130262,"Ġì§ij":130263,"ãģ®ãĤĪãģĨãģ«":130264,"Ġפ׳×Ļ":130265,"ס×Ļ×Ŀ":130266,"ĠÙĪÙĩذا":130267,"Ġkaç":130268,"Ġéén":130269,"Ġê±´":130270,"ë°Ķ":130271,"Ñĥз":130272,"à¸Ĥà¸Ńà¸ĩà¹Ģรา":130273,"iÅĤ":130274,"ĠÐľÑĭ":130275,"Ġchết":130276,"ĠاÙĦثاÙĨÙĬ":130277,"×IJק":130278,"Ġ×ķ×¢×ľ":130279,"ĠاÙĦطب":130280,"×ij×ĺ×Ĺ":130281,"ĠجدÙĬدة":130282,"ĠعدÙħ":130283,"عز":130284,"สิà¹Īà¸ĩà¸Ĺีà¹Ī":130285,"ãģĻãĤĮãģ°":130286,"ĠÄijô":130287,"ì£ł":130288,"دÙĤ":130289,"номÑĥ":130290,"Ġká»ĥ":130291,"ãĤ¢ãĥ³":130292,"å¤ļãģıãģ®":130293,"à¸Ľà¸£à¸°à¸ģ":130294,"à¸Ľà¸£à¸°à¸ģà¸Ńà¸ļ":130295,"פע×Ļ׾×ķת":130296,"ĠÑģÑĤол":130297,"mayı":130298,"ãģ¤ãģĦ":130299,"Ġyılında":130300,"Ġà¸Īึà¸ĩ":130301,"koÅĦcz":130302,"ĠThông":130303,"ĠакÑĤив":130304,"нÑģÑĤ":130305,"нÑģÑĤÑĢÑĥ":130306,"ĠÃĸz":130307,"Ġת×ŀ×Ļ×ĵ":130308,"ĠÙĥÙĨت":130309,"ÑģиÑģÑĤем":130310,"prés":130311,"présent":130312,"Ġnâ":130313,"Ġnâng":130314,"gÅĤos":130315,"ĠÙĪزÙĬر":130316,"ØŃصÙĦ":130317,"ĠимееÑĤ":130318,"ØŃرÙĥØ©":130319,"à¸ŀà¹Īà¸Ń":130320,"ãĤĴãģĬ":130321,"ĠاستخداÙħ":130322,"×IJ×Ļר×ķ×¢":130323,"ä»ĸãģ®":130324,"Ġש×Ķ×Ŀ":130325,"ãģĹãģŁãĤī":130326,"ש×ŀ×Ļ":130327,"Ñģла":130328,"mı":130329,"Ġbazı":130330,"Ġíķĺì§Ģë§Į":130331,"×ĵ׾":130332,"Ġyaptıģı":130333,"ãĥĬãĥ¼":130334,"׾×Ļ׾×Ķ":130335,"ãģ¨ãģĦãģ£ãģŁ":130336,"ändig":130337,"ĠÅŁa":130338,"ĠÙģÙĬÙħا":130339,"иÑĤелÑı":130340,"×ŀ×ķש":130341,"à¸Ĥà¸Ńà¸ļ":130342,"lük":130343,"Ġhá»ĵi":130344,"Ġëªħ":130345,"ĠاÙĦÙĥØ«ÙĬر":130346,"צ×IJ":130347,"Ġhazır":130348,"طرÙģ":130349,"اÙĬا":130350,"ĠÄijôi":130351,"енд":130352,"ÙĦغ":130353,"×Ĺ×ĸ×ķר":130354,"ĠвÑģег":130355,"ĠвÑģегда":130356,"ëIJĺê³ł":130357,"×ĵ×ķ×ĵ":130358,"ана":130359,"دÙĪÙĦØ©":130360,"Ġhoạch":130361,"عÙĦا":130362,"عÙĦاج":130363,"Ġ×ķ×¢×ĵ":130364,"×Ķ×Ŀ":130365,"кий":130366,"ÙĦÙIJ":130367,"Ġ×¢×ľ×Ļ×ķ":130368,"ÑİÑīий":130369,"Ġngủ":130370,"صÙĨع":130371,"ĠاÙĦعراÙĤ":130372,"à¸ķà¹Īà¸Ńà¹Ħà¸Ľ":130373,"ãģŁãģıãģķãĤĵ":130374,"Ġphạm":130375,"ÙĦاÙĨ":130376,"اتÙĩا":130377,"Ġböyle":130378,"تÙĨÙģÙĬ":130379,"تÙĨÙģÙĬØ°":130380,"Ġש×Ķ×Ļ×IJ":130381,"ÑģÑĥ":130382,"ยาว":130383,"Ġש×ķ׳×Ļ×Ŀ":130384,"Ġ×ŀ×ķ׾":130385,"ĠÑģил":130386,"Ġ×IJ×Ĺר×Ļ×Ŀ":130387,"Ġphủ":130388,"ÙĤطع":130389,"ĠThủ":130390,"à¸Ľà¸£à¸°à¹Ģà¸Ĺศà¹Ħà¸Ĺย":130391,"ÙĨÙĤ":130392,"ĠÄijoạn":130393,"Ġبإ":130394,"пÑĢедел":130395,"×ķת×ķ":130396,"Ġyarı":130397,"пÑĢе":130398,"ĠczÄĻÅĽci":130399,"ØŃÙĥÙħ":130400,"×ķ׳×Ļת":130401,"×¤×¢×ľ":130402,"ãĤĴãģĹãģ¦":130403,"Ġktórzy":130404,"׾×Ŀ":130405,"ĠÄIJiá»ģu":130406,"ĠкоÑĤоÑĢаÑı":130407,"ĠìĿ´ìĥģ":130408,"ãģĤãģ£ãģŁ":130409,"Ġ×ŀ×ĵ×ķ×ijר":130410,"פ×ķ×¢×ľ":130411,"dım":130412,"éĢļãĤĬ":130413,"ĠбÑĥдÑĥÑĤ":130414,"à¹Ģวà¹ĩà¸ļà¹Ħà¸ĭ":130415,"à¹Ģวà¹ĩà¸ļà¹Ħà¸ĭà¸ķà¹Į":130416,"اخر":130417,"×Ĺ×Ļ׾":130418,"Ġ×Ļ׾":130419,"Ġ×Ļ׾×ĵ×Ļ×Ŀ":130420,"×Ĺ×Ļפ":130421,"×Ĺ×Ļפ×ķש":130422,"Ġdòng":130423,"Ġש×ĸ×Ķ":130424,"ÑĮе":130425,"ãģĤãģ¨":130426,"ìŀIJê°Ģ":130427,"×IJ×ĵ":130428,"Ġüz":130429,"Ġüzere":130430,"ظÙĦ":130431,"Ġ×IJ×ķ׾×Ļ":130432,"Ġ×ij×Ļ×ķ×Ŀ":130433,"ÙĦات":130434,"Ġmê":130435,"침":130436,"تØŃد":130437,"تØŃدث":130438,"Ġخاصة":130439,"ĠبرÙĨ":130440,"ĠبرÙĨاÙħج":130441,"ĠHÃłn":130442,"×Ĺס":130443,"ĠÙĪÙĦÙħ":130444,"×¢×Ŀ":130445,"Ġmı":130446,"à¸Łà¸±à¸ĩ":130447,"שע×Ķ":130448,"ÙĪÙģÙĤ":130449,"ס×ij×Ļר":130450,"алÑĮнÑĭй":130451,"×Ĺש×ķ×ij":130452,"ĠnÃłng":130453,"ë³¼":130454,"ĠкоÑĤоÑĢÑĭÑħ":130455,"Ġ×Ĺ×ķק":130456,"tör":130457,"ĠлÑĥÑĩÑĪе":130458,"ãĥijãĥ³":130459,"ลà¹Īาสุà¸Ķ":130460,"ĠجدÙĬد":130461,"ÙĬدة":130462,"à¸Ĺรà¸ĩ":130463,"ãĤĪãĤĬãĤĤ":130464,"ÙĦÙĦ":130465,"ãĤĤãģ£ãģ¨":130466,"ש×ĺ×Ĺ":130467,"Ġ×ķ×IJ×Ļ":130468,"Ġgiá»ijng":130469,"إضاÙģ":130470,"קת":130471,"ë§Ŀ":130472,"ĠzostaÅĤ":130473,"ÑĢоз":130474,"×Ļפ×Ļ×Ŀ":130475,"Ġ׼׾׾":130476,"ת×ķ׼ף":130477,"dıģını":130478,"ÙĤسÙħ":130479,"ĠÑģÑĩиÑĤ":130480,"ĠÑģÑĩиÑĤа":130481,"×ĺ×ķת":130482,"ĠÆ°u":130483,"ĠØ¢ÙĦ":130484,"Ġмом":130485,"ĠмоменÑĤ":130486,"ĠاÙĦتعÙĦÙĬÙħ":130487,"×¢×ľ×ķת":130488,"Ġchữa":130489,"Ġyön":130490,"ĠtrÃł":130491,"ĠØŃÙĬÙĨ":130492,"à¸ĭั":130493,"ĠCá":130494,"×¢×ĸ":130495,"ĠاÙĦØ£ÙħÙĨ":130496,"cÃŃ":130497,"Ġvá»ijn":130498,"Ġà¸Ļาย":130499,"обÑĢа":130500,"ק×IJ":130501,"Ġthiếu":130502,"ãĥŀãĥ¼":130503,"สวà¸Ļ":130504,"Ġgá»Ń":130505,"Ġgá»Ńi":130506,"Ġê¹":130507,"Ġê¹Ģ":130508,"Ġthiá»ĩn":130509,"ÙĤع":130510,"wÄĻ":130511,"Ġнам":130512,"ÑĤол":130513,"Ġsân":130514,"ס×ķ×Ĵ":130515,"Ġgeçir":130516,"ÑĤон":130517,"ева":130518,"ĠÙĪضع":130519,"Ġعشر":130520,"Ñģло":130521,"à¸Īัà¸ļ":130522,"ãĤ·ãĥ¼":130523,"ãĤĤãģĤãĤĬãģ¾ãģĻ":130524,"Ġvẻ":130525,"ĠÄIJá»ĥ":130526,"رÙģع":130527,"ĠاÙĦØ£ÙĪÙĦÙī":130528,"ÑĤаÑĢ":130529,"ãģªãģıãģ¦":130530,"ÙħÙİ":130531,"quÃŃ":130532,"×¢×ł×Ļ×Ļ׳":130533,"ген":130534,"Ġhôm":130535,"à¸Īา":130536,"ĠnhỼ":130537,"ĠاÙĦعربÙĬ":130538,"×IJף":130539,"Ġlá»Ļ":130540,"ĠjeÅĽli":130541,"à¹Ģà¸Ĺà¹Īาà¸Ļัà¹īà¸Ļ":130542,"ĠØ£ÙĨÙĩا":130543,"Ġtuy":130544,"Ġtuyá»ĩt":130545,"Ġتص":130546,"ĠتصÙĨÙĬ":130547,"ĠتصÙĨÙĬÙģ":130548,"Ġê·¸ëŁ¬ëĤĺ":130549,"оÑĨен":130550,"à¸ģิà¸Īà¸ģรรม":130551,"ãĤĦãģ£ãģ¦":130552,"Ġkhá»ıi":130553,"Ġlá»ĩ":130554,"ĠاÙĦÙħجتÙħع":130555,"à¸Ńาà¸Īà¸Īะ":130556,"à¸Īะà¹Ģà¸Ľà¹ĩà¸Ļ":130557,"овÑĭй":130558,"ר×Ŀ":130559,"รà¹īà¸Ńà¸Ļ":130560,"ש×ŀש":130561,"人ãģ«":130562,"Ġüzerine":130563,"פר×Ļ":130564,"duÄŁu":130565,"Ñĩик":130566,"Ġmùa":130567,"Ġ×ŀת×ķ×ļ":130568,"ĠcáºŃp":130569,"ĠتارÙĬØ®":130570,"×ij×ľ×ª×Ļ":130571,"Ġì¢Ģ":130572,"ÙĦع":130573,"باÙĨ":130574,"Ġchút":130575,"Ġ×Ķ×ĸ×ŀף":130576,"née":130577,"ĠLiên":130578,"ĠÙĦÙĦØ£":130579,"ØŃدÙĪد":130580,"Ġ×¢×Ľ×©×Ļ×ķ":130581,"воз":130582,"Ġyaptı":130583,"Ġобо":130584,"à¹ĥหà¹īà¸ģัà¸ļ":130585,"Ġ×ij×Ķ×Ŀ":130586,"ãģıãģ¦":130587,"رأس":130588,"ĠÑģÑĢедÑģÑĤв":130589,"ĠBÃłi":130590,"ãģĵãģ¨ãģ«":130591,"ĠìĤ¬íļĮ":130592,"Ġ모ëijIJ":130593,"×ij×IJ":130594,"Ġtrắng":130595,"ĠاÙĦبÙĦد":130596,"ĠHoÃłng":130597,"либо":130598,"ĠдÑĢÑĥгиÑħ":130599,"Ä°R":130600,"Ñĥма":130601,"ĠJeÅĽli":130602,"ãĤĤãģĹ":130603,"Ġvòng":130604,"Ġ×IJתר×Ļ×Ŀ":130605,"ĠÄijá»įc":130606,"ĠвоÑĤ":130607,"ãģłãģĮ":130608,"ë°°":130609,"à¸Ķูà¹ģล":130610,"Ġ×ŀ׼׾":130611,"ìĹIJëıĦ":130612,"газ":130613,"Ġ׳×ķספ×Ļ×Ŀ":130614,"ãģĵãģ¨ãģ§":130615,"ĠتÙĪ":130616,"ãģ§ãģĤãĤĬ":130617,"à¸Ļัà¹Īà¸ĩ":130618,"ĠможеÑĤе":130619,"szÄĻ":130620,"ãģ®ãģł":130621,"ĠÙħÙĨÙĩ":130622,"Ġbá»ķ":130623,"Ġbüt":130624,"Ġbütün":130625,"ë³´ê³ł":130626,"Ġchá»ĵng":130627,"à¹ģà¸Īà¹īà¸ĩ":130628,"ĠVì":130629,"ĠØŃر":130630,"Ġgiản":130631,"ĠÙħدÙĬÙĨØ©":130632,"تطبÙĬÙĤ":130633,"à¸Īิ":130634,"æĹ¥ãģ®":130635,"бил":130636,"à¸ģà¸Ńà¸ĩ":130637,"ê³³":130638,"ĠØ£Ùħا":130639,"ìĨIJ":130640,"Ġtrái":130641,"ĠвÑģем":130642,"ĠسÙĨØ©":130643,"ĠÑģайÑĤ":130644,"ĠгоÑĤов":130645,"пÑĭ":130646,"ĠëIJł":130647,"ĠاÙĦخط":130648,"ĠاÙĦرئÙĬسÙĬØ©":130649,"Ġíķ©ëĭĪëĭ¤":130650,"ĠìķĦëĭĪëĿ¼":130651,"ĠìĿ´ëłĩ":130652,"ĠìĿ´ëłĩê²Į":130653,")ØĮ":130654,"hält":130655,"ĠØ£Ùħر":130656,"ĠعÙħر":130657,"à¸ģà¹ĩà¸Īะ":130658,"Ġà¸Ĺำà¹ĥหà¹ī":130659,"Ġcân":130660,"Ġ×ij׾":130661,"Ġ×ij׾×ij×ĵ":130662,"פסק":130663,"ĠÙĬÙĤÙĪÙĦ":130664,"нÑĥÑĤÑĮ":130665,"à¹ģà¸Ħ":130666,"Ġקצת":130667,"Ġnằm":130668,"Ġhòa":130669,"bilitÃł":130670,"ĠìĹĨëĭ¤":130671,"Ġ׼פ×Ļ":130672,"ÑĢож":130673,"лага":130674,"Ġ×Ķש×Ļ":130675,"ĠNgoÃłi":130676,"ĠÙĪج":130677,"ĠÙĪجÙĪد":130678,"ĠìľĦíķľ":130679,"ĠusÅĤug":130680,"Ġtuần":130681,"dź":130682,"×ŀ×ķף":130683,"ĠاÙĦعدÙĬد":130684,"Ġchẳng":130685,"สุà¸Ĥà¸łà¸²à¸ŀ":130686,"Ġ×ij×ĵר×ļ":130687,"ĠÑģебе":130688,"ĠìŀĪìĿĦ":130689,"ĠاÙĦØŃاÙĦ":130690,"Ġdá":130691,"ĠcÆ°á»Ŀi":130692,"Ġnghiên":130693,"ieÅĦ":130694,"ĠDÆ°Æ¡ng":130695,"ï¼ħ":130696,"شد":130697,"ãģĦãģ¤ãĤĤ":130698,"ĠвÑĭбоÑĢ":130699,"Ġcá»Ļng":130700,"ש×Ļ׳×ķ×Ļ":130701,"Ġchạy":130702,"Ġ×ij×¢×ľ×Ļ":130703,"اخبار":130704,"íķĺë©°":130705,"żÄħ":130706,"جاز":130707,"Ġ׳ר×IJ×Ķ":130708,"ศู":130709,"ศูà¸Ļ":130710,"ศูà¸Ļยà¹Į":130711,"×Ĵ×¢":130712,"Ġ×¢×ĵ×Ļ":130713,"Ġ×¢×ĵ×Ļ×Ļף":130714,"برا":130715,"ÑĨий":130716,"ĠÄIJá»ĵng":130717,"ÙĤاÙĨÙĪÙĨ":130718,"ĠÄijứng":130719,"ãģĹãģŁãĤĬ":130720,"Ġ×Ĺ×Ļ×Ļ":130721,"ĠëIJľ":130722,"ĠëIJľëĭ¤":130723,"ĠмеждÑĥ":130724,"à¸ŀวà¸ģà¹Ģà¸Ĥา":130725,"ĠBắc":130726,"ลำ":130727,"ë°±":130728,"ĠíĻķ":130729,"มาà¸ģม":130730,"มาà¸ģมาย":130731,"банк":130732,"à¸Ńาà¸ģาร":130733,"ĠhÃł":130734,"Ġ׾׳":130735,"à¸Ńà¸Ń":130736,"Ġë°Ķë¡ľ":130737,"лом":130738,"mática":130739,"ĠØŃد":130740,"ابت":130741,"à¸Ĺีà¹Īà¸Ļีà¹Ī":130742,"ĠcoÅĽ":130743,"ÙģÙĬدÙĬ":130744,"ÙģÙĬدÙĬÙĪ":130745,"ĠмеÑģÑĤо":130746,"Ġphút":130747,"มาà¸ģà¸ģวà¹Īา":130748,"×IJפ":130749,"بÙIJ":130750,"ĠPhú":130751,"ì±Ħ":130752,"ĠÙĪسÙĦÙħ":130753,"à¸Īีà¸Ļ":130754,"поÑĤÑĢеб":130755,"Ġ×Ĺ×ĵש×ķת":130756,"Ø´ÙĪ":130757,"Ġעצ×ŀ×ķ":130758,"ĠعÙħÙĦÙĬØ©":130759,"à¸Ħุà¸ĵà¸łà¸²à¸ŀ":130760,"ãģ¾ãģĻãģĮ":130761,"دعÙĪ":130762,"طرÙĤ":130763,"à¹Ħมà¹Īà¸ķà¹īà¸Ńà¸ĩ":130764,"ë²Ķ":130765,"ìĬ¹":130766,"ĠkÃŃch":130767,"ĠìĹĨëĬĶ":130768,"ĠÑĤам":130769,"ĠÙĨØŃÙĪ":130770,"ĠاÙĦÙĤاÙĨÙĪÙĨ":130771,"×Ĺ×ķ×Ŀ":130772,"Ġkız":130773,"Ġ×ĵ×Ļף":130774,"ĠвÑĢемени":130775,"ãģ£ãģŁãĤĬ":130776,"ĠØ´Ùĩر":130777,"ĠìĦľë¹ĦìĬ¤":130778,"עש×Ķ":130779,"Ġgiác":130780,"ĠاÙĦسÙĦاÙħ":130781,"Ġ×IJש":130782,"ĠполÑĥÑĩа":130783,"à¸Īัà¸Ķà¸ģาร":130784,"коÑĢ":130785,"Ġ×Ķ×ĺ×ķ×ij":130786,"รายà¸ģาร":130787,"주ìĿĺ":130788,"à¹ģà¸ķà¹Īละ":130789,"Ġê·¸ëŁ°ëį°":130790,"à¸Ĺีà¹Īà¹Ģà¸Ľà¹ĩà¸Ļ":130791,"Ġת×ķ×ļ":130792,"بÙĬاÙĨ":130793,"ÐĻ":130794,"oÅĽciÄħ":130795,"ÑĤок":130796,"ĠÃĶ":130797,"ĠÃĶng":130798,"à¹Ħมà¹Īà¹ĥà¸Ĭà¹Ī":130799,"ãģ¿ãģ¦":130800,"ÐŁÐ¾":130801,"ĠЧÑĤо":130802,"íĻ©":130803,"×ĺ×ij×¢":130804,"меÑĤÑĢ":130805,"Ġ×ij×ŀ×Ķ":130806,"Ġ×ij×ŀ×Ķ׾":130807,"Ġ×ij×ŀ×Ķ׾×ļ":130808,"ÑĩÑĮ":130809,"קש×Ķ":130810,"знак":130811,"знаком":130812,"ujÄĻ":130813,"×Ļצר":130814,"ĠاÙĦÙħÙĦÙĥ":130815,"ıyla":130816,"×IJ×ŀת":130817,"à¸Ľà¸´à¸Ķ":130818,"×IJ×Ĺ×ĵ":130819,"راد":130820,"ĠmáºŃt":130821,"ëĭ¤ëĬĶ":130822,"Ġlạnh":130823,"ש׾×ķש":130824,"ØŃدÙĬØ«":130825,"تز":130826,"å¹´ãģ®":130827,"ĠкваÑĢ":130828,"ĠкваÑĢÑĤиÑĢ":130829,"ä½ľãĤĬ":130830,"رÙĪب":130831,"ован":130832,"ĠТе":130833,"à¸Īำà¸ģ":130834,"à¸Īำà¸ģัà¸Ķ":130835,"باط":130836,"×Ĵת":130837,"ĠмаÑĪ":130838,"ĠмаÑĪин":130839,"×Ļצ×Ķ":130840,"ãģ»ãģ¨":130841,"ãģ»ãģ¨ãĤĵãģ©":130842,"ÃŃdo":130843,"ĠÑıзÑĭк":130844,"à¸ļิà¸Ļ":130845,"สà¸ĸาà¸Ļà¸Ĺีà¹Ī":130846,"ĠìĹ´":130847,"ãĤ¦ãĤ§":130848,"ĠcÃł":130849,"пан":130850,"åı£ãĤ³ãĥŁ":130851,"Ġرد":130852,"اÙĤت":130853,"ĠÙĥب":130854,"ĠÙĥبÙĬرة":130855,"ÑģÑĤал":130856,"ש×ŀ×Ĺ":130857,"posición":130858,"ĠÙħÙĦÙĬÙĪÙĨ":130859,"ĠìĿ´ìķ¼":130860,"ĠìĿ´ìķ¼ê¸°":130861,"Ġhút":130862,"ĠÅĽwiat":130863,"Ġë°©ë²ķ":130864,"ĠÑģвеÑĤ":130865,"Ġвидео":130866,"ĠاÙĦÙĨظاÙħ":130867,"Ġtrá»Ŀi":130868,"ĠëĮĢíķ´ìĦľ":130869,"ר×ŀת":130870,"تداÙĪÙĦ":130871,"×ķר×ĵ":130872,"ת×ŀ":130873,"ת×ŀ×ķ׳×ķת":130874,"Ġ×ŀף":130875,"Ġдва":130876,"Ġ×Ķק×ķ":130877,"æĹ¥ãģ«":130878,"Ġ×Ķ×Ĵ×Ļ×¢":130879,"à¹Ģà¸ŀิà¹Īมà¹Ģà¸ķิม":130880,"Ùħارس":130881,"Ġê²ĥìŀħëĭĪëĭ¤":130882,"ãģªãģĦãģ¨":130883,"Ġnhiá»ĩt":130884,"ëIJ©ëĭĪëĭ¤":130885,"Ġ×ij׳×ķש×IJ":130886,"Ġê°Ģìŀ¥":130887,"Ġvợ":130888,"ĠÄijóng":130889,"צ×Ļ׾×ķ×Ŀ":130890,"ê´Ģê³Ħ":130891,"ваÑı":130892,"×IJ×Ļ×ĸ":130893,"×IJ×Ļ×ĸ×Ķ":130894,"ĠÙĨظاÙħ":130895,"ÙħØŃاÙģظ":130896,"Ġtải":130897,"기ëıĦ":130898,"à¸Ľà¸±à¸Īà¸Īุ":130899,"à¸Ľà¸±à¸Īà¸Īุà¸ļัà¸Ļ":130900,"׼×ĵ×ķר":130901,"ĠìķĦìĿ´":130902,"׼׳×Ļס":130903,"à¹Ģà¸ķร":130904,"à¹Ģà¸ķรียม":130905,"Ġngoại":130906,"ĠدÙĪÙĦار":130907,"Ġrẻ":130908,"ĠkhÄĥn":130909,"عدد":130910,"شعب":130911,"czyÄĩ":130912,"ĠاÙĦÙĥر":130913,"ĠÑĩеловека":130914,"ĠÙĪØ¥ÙĨ":130915,"×IJ×ĺ":130916,"ĠthÆ¡":130917,"ĠاÙĦرÙĬاض":130918,"опÑĢедел":130919,"опÑĢеделен":130920,"×Ķ×ŀש×ļ":130921,"ĠÐĿово":130922,"зÑĭва":130923,"ĠاÙĦدÙĪÙĦÙĬ":130924,"ĠÄijáp":130925,"ĠкÑĢед":130926,"ĠкÑĢедиÑĤ":130927,"ового":130928,"Ġmôn":130929,"à¸Ľà¸£à¸°à¹Ĥย":130930,"à¸Ľà¸£à¸°à¹Ĥยà¸Ĭà¸Ļ":130931,"à¸Ľà¸£à¸°à¹Ĥยà¸Ĭà¸Ļà¹Į":130932,"ÑģÑĤе":130933,"ĠThá»ĭ":130934,"دÙĬØ©":130935,"×ŀצ×ķ":130936,"Ùģات":130937,"ק×ĵ×Ŀ":130938,"ìĿ´ëĿ¼ê³ł":130939,"ÙĪØ®":130940,"Ġ×Ĺ×ĸ":130941,"ĠÑĦоÑĤо":130942,"׾×Ļת":130943,"تÙİ":130944,"ÙĪبر":130945,"йÑĤи":130946,"ĠÃ¶ÄŁren":130947,"Ġ×Ķ×ĸ×ķ":130948,"Ġvá»įng":130949,"ÙĤÙĪØ©":130950,"ĠTây":130951,"ĠÐĿи":130952,"Ġש×ķ×ij":130953,"ãģ¨è¨ĢãĤıãĤĮ":130954,"ãģ©ãĤĵãģª":130955,"×Ĺצ×Ļ":130956,"ï½ľ":130957,"Ġ×ķ×Ķ×ķ×IJ":130958,"ä¸Ģãģ¤":130959,"ĠÑģÑĤоиÑĤ":130960,"niÄħ":130961,"×ĺר×Ļ":130962,"ĠдеÑĤей":130963,"нÑıÑĤÑĮ":130964,"ĠÑģделаÑĤÑĮ":130965,"Ġë§İìĿ´":130966,"ä½ķãģĭ":130967,"ãģĽãĤĭ":130968,"à¹Ħหม":130969,"à¸ķิà¸Ķà¸ķà¹Īà¸Ń":130970,"Ġ×ijת×Ĺ":130971,"Ġ×ijת×Ĺ×ķ×Ŀ":130972,"ìĻĦ":130973,"ì§ĢëĬĶ":130974,"ÑģÑĤаÑĤ":130975,"ÑıÑģн":130976,"üb":130977,"Ġthả":130978,"Ġ×ij×IJ×ŀת":130979,"Ġtuyến":130980,"×ĵ×Ļר×Ķ":130981,"Ġ×IJ×Ļש×Ļ":130982,"×ĸ׼ר":130983,"ãģ°ãģĭãĤĬ":130984,"Ġxét":130985,"׼×Ļ×ķ":130986,"׼×Ļ×ķ×ķף":130987,"diÄŁini":130988,"ĠاÙĦÙħÙĪضÙĪع":130989,"ĠháºŃu":130990,"à¸Īาà¸ģà¸ģาร":130991,"×ijס×Ļס":130992,"Ġ×ŀ×Ĵ×Ļ×¢":130993,"×ij×Ļ×¢":130994,"ĠÙĪجÙĩ":130995,"à¹ģà¸Ķà¸ĩ":130996,"à¸Ļาà¸ĩ":130997,"ĠÅŀa":130998,"ì¡´":130999,"ë¡Ģ":131000,"à¸ķะ":131001,"Ġ×Ķ×Ĺ×Ļ×Ļ×Ŀ":131002,"ÙģÙĬد":131003,"ãģ§ãģĻãģĭãĤī":131004,"ê·ľ":131005,"źni":131006,"ĠлÑİдей":131007,"Ġyüzde":131008,"ıyorum":131009,"ĠاÙĦبØŃر":131010,"eño":131011,"паÑĢ":131012,"ÙĬÙĤØ©":131013,"обÑĢ":131014,"ר×ķ×ļ":131015,"تÙĪÙĤع":131016,"ĠاÙĦØ´ÙĬØ®":131017,"åĪĿãĤģãģ¦":131018,"ĠÑĤелеÑĦ":131019,"ĠÑĤелеÑĦон":131020,"Ġthôi":131021,"Ġ×Ļ׼×ķ׾×Ļ×Ŀ":131022,"ĠÅŁirk":131023,"ĠÅŁirket":131024,"Ġìļ°ë¦¬ê°Ģ":131025,"ĠÄijông":131026,"Ġת×ķ×ĵ×Ķ":131027,"ÑģмоÑĤÑĢеÑĤÑĮ":131028,"ĠÙĦÙĩÙħ":131029,"Ġ׾׼":131030,"ĠNó":131031,"ĠØŃاÙĦØ©":131032,"ãģĦãģij":131033,"קר×ķ":131034,"azı":131035,"ãĤ³ãĥ¼":131036,"ĠÙĦÙĦت":131037,"sınız":131038,"ĠHải":131039,"기ìĪł":131040,"ยัà¸ĩà¹Ħมà¹Ī":131041,"ëĭ¤ê³ł":131042,"פ×Ĺ":131043,"Ġ׾×Ĵ×ij×Ļ":131044,"ĠعÙĨÙĩ":131045,"Ġказ":131046,"Ġказино":131047,"بÙĪر":131048,"ÑĦеÑĢ":131049,"Ġê°ĻìĿ´":131050,"تسجÙĬÙĦ":131051,"ĠاÙĦÙħرÙĥز":131052,"ĠThái":131053,"даÑĤÑĮ":131054,"×ŀ×Ļ×Ļ׾":131055,"ĠpaylaÅŁ":131056,"ãģ¤ãģ®":131057,"à¹Ģรืà¸Ń":131058,"nça":131059,"׳×ķ×Ĺ":131060,"Ġ×IJפ×Ļ׾×ķ":131061,"ãģ¨èĢĥãģĪ":131062,"ãģ¨ãģĹãģ¦ãģ¯":131063,"à¹Ģà¸Īà¸Ń":131064,"×ŀפ":131065,"ĠgiriÅŁ":131066,"лиÑĤ":131067,"ÑĤелÑı":131068,"Ñijн":131069,"æ°Ĺãģ«":131070,"Ġgó":131071,"Ġgóp":131072,"åĪĩãĤĬ":131073,"Ġ×Ķ×Ĺ×ĵש":131074,"жал":131075,"Ġ×ĵעת":131076,"éģķãģĨ":131077,"à¹Ģà¸Ĥà¹īาà¹Ħà¸Ľ":131078,"Ġסר×ĺ":131079,"eña":131080,"æĸ°ãģĹãģĦ":131081,"رÙİ":131082,"ĠÐIJÑĢ":131083,"Ġphản":131084,"à¸Īะà¹Ħà¸Ķà¹ī":131085,"Ġ×ijצ×ķר×Ķ":131086,"شاÙĩ":131087,"شاÙĩد":131088,"ÙĪرد":131089,"à¹Ģà¸Ļืà¹Īà¸Ńà¸ĩà¸Īาà¸ģ":131090,"илиÑģÑĮ":131091,"à¹ģละà¸ģาร":131092,"Ġ×Ķ×ĸ׼":131093,"Ġ×Ķ×ĸ׼×ķ×Ļ×ķת":131094,"eiÃŁ":131095,"ãĥ¨":131096,"ìĥĪ":131097,"ĠÃĩa":131098,"Ư":131099,"ש×Ĵ":131100,"ÙĬÙĨØ©":131101,"รà¹īà¸Ńà¸ĩ":131102,"ãĤµãĥ³":131103,"ÑĢоÑģÑģий":131104,"ÑĢоÑģÑģийÑģк":131105,"aÄŁa":131106,"ĠнаÑĩина":131107,"ĠصÙĦÙī":131108,"à¸Ĺุà¸ģà¸Ħà¸Ļ":131109,"íļĮìĤ¬":131110,"ĠлиÑĨ":131111,"Ø´ÙĬر":131112,"ĠØ´ÙĬØ¡":131113,"ÙĬÙĨا":131114,"Ġפ×Ĺ×ķת":131115,"Ġiçeris":131116,"Ġiçerisinde":131117,"ĠØ£ØŃÙħد":131118,"Ġżeby":131119,"ì´Ŀ":131120,"Ġпоказ":131121,"Ġименно":131122,"หà¸Ļัà¸ĩส":131123,"หà¸Ļัà¸ĩสืà¸Ń":131124,"ĠÑĤÑĢе":131125,"สัà¸ĩà¸Ħม":131126,"Ø¥ÙIJ":131127,"ãģĮå¿ħè¦ģ":131128,"ÙĬÙijØ©":131129,"פצ":131130,"íĭ°":131131,"ĠÙħجاÙĦ":131132,"׳פש":131133,"кан":131134,"×Ĺ×ķפ":131135,"×Ĺ×ķפש":131136,"ì²ĺëŁ¼":131137,"оваÑı":131138,"зов":131139,"Ġhạ":131140,"ĠdziÄĻki":131141,"×Ļר×ķ":131142,"Ġ׾×ŀצ":131143,"Ġ׾×ŀצ×ķ×IJ":131144,"×Ļ×ĵ×ķ":131145,"Ġsợ":131146,"Ġ׾×Ķ×Ĵ×Ļ×¢":131147,"ק×ij×¢":131148,"Ġchiá»ģu":131149,"ãĥŀãĤ¤":131150,"ĠdÃłng":131151,"à¹ģà¸Łà¸Ļ":131152,"Ġüye":131153,"×Ļ׳×Ĵ":131154,"à¹Ģรียà¸ģ":131155,"ç§ģãģĮ":131156,"thé":131157,"ĠÑĦилÑĮ":131158,"ĠÑĦилÑĮм":131159,"ĠNgÃły":131160,"Ġжен":131161,"ĠженÑīин":131162,"جÙĬد":131163,"nç":131164,"à¸Ľà¸£à¸²":131165,"×Ļ×ŀ×ķ":131166,"Ġná»ģn":131167,"×IJ×ķ׾×Ŀ":131168,"ĠвозможноÑģÑĤÑĮ":131169,"Ġëĭ¤ìĭľ":131170,"è¦ĭãģŁ":131171,"à¸ĸà¸Ļ":131172,"à¸ĸà¸Ļà¸Ļ":131173,"mızı":131174,"ĠÙħجÙħÙĪعة":131175,"cjÄħ":131176,"ĠÐłÐ¤":131177,"à¸ģำหà¸Ļ":131178,"à¸ģำหà¸Ļà¸Ķ":131179,"ĠìĹ¬ê¸°":131180,"landı":131181,"ниÑĨ":131182,"ÑģÑĤве":131183,"Ġ×ĵ×ijר×Ļ×Ŀ":131184,"ĠskÅĤad":131185,"ãĤĬãģ¾ãģĹãģŁ":131186,"ĠоÑĤкÑĢÑĭÑĤ":131187,"нÑıÑĤ":131188,"ĠÑģвоей":131189,"à¸Īิà¸ķ":131190,"ĠкаÑĩеÑģÑĤве":131191,"ĠettiÄŁi":131192,"ìĤ¬íķŃ":131193,"ĠاÙĦÙĬÙħÙĨ":131194,"иÑĩеÑģкий":131195,"ë¸Į":131196,"Ġ×ij×IJרץ":131197,"ĠاسÙħ":131198,"ĠизвеÑģÑĤ":131199,"rão":131200,"ĠattivitÃł":131201,"à¹Ģà¸Ľà¹ĩà¸Ļà¸ģาร":131202,"ĠاÙĦدÙĥت":131203,"ĠاÙĦدÙĥتÙĪر":131204,"ĠÙĪاØŃدة":131205,"ĠÑģÑĩеÑĤ":131206,"ĠпÑĢиÑĩ":131207,"ĠпÑĢиÑĩин":131208,"ĠÙĪزارة":131209,"Ġhuyá»ĩn":131210,"ĠÙĥتاب":131211,"à¹ģà¸Ļà¹Īà¸Ļ":131212,"à¹ģà¸Ļà¹Īà¸Ļà¸Ńà¸Ļ":131213,"Ġgünü":131214,"гÑĢÑĥз":131215,"ĠاÙĦخاص":131216,"Ġgörül":131217,"׾×ŀ×ĵ":131218,"ĠìłķëıĦ":131219,"×ķ×ij×Ļ׾":131220,"Ġ×ŀקצ×ķ×¢×Ļ":131221,"ĠоÑģобенно":131222,"à¸Ľà¸£à¸°à¸ģา":131223,"à¸Ľà¸£à¸°à¸ģาศ":131224,"acaģını":131225,"ë¶ģ":131226,"à¸łà¸¹à¸¡à¸´":131227,"ĠÑįлекÑĤ":131228,"ĠÑįлекÑĤÑĢо":131229,"Ġקש×Ķ":131230,"سÙĦØ·":131231,"à¸Ĭà¸Ļะ":131232,"×¢×Ļ׾":131233,"ĠЧе":131234,"à¹ģà¸Ļà¹Ī":131235,"lıģ":131236,"lıģın":131237,"Ġ×ŀ×¢×¨×Ľ×ª":131238,"好ãģįãģª":131239,"มาà¸ģà¸Ĥึà¹īà¸Ļ":131240,"×ŀ×¢×ijר":131241,"ĠاÙĦÙħغرب":131242,"ĠпеÑĢи":131243,"ĠпеÑĢиод":131244,"Ġnhạc":131245,"اÙĪÙĬ":131246,"ĠÙĪعÙĦÙī":131247,"أخذ":131248,"ĠCô":131249,"תר×ij×ķת":131250,"×Ĵ×Ķ":131251,"Ġktórej":131252,"×IJ×Ļת":131253,"×ij×ķ×IJ":131254,"делÑĮ":131255,"รีวิ":131256,"รีวิว":131257,"жÑĥ":131258,"Ġ×ij×Ĺ×ķ":131259,"еÑĪÑĮ":131260,"ĠØ£ÙĦÙģ":131261,"ĠاÙĦÙĪØ·ÙĨÙĬ":131262,"ĠاÙĦÙħÙĨØ·ÙĤØ©":131263,"nÄħÄĩ":131264,"Ġthiên":131265,"иÑĩеÑģкой":131266,"ĠاÙĦÙħÙĦ":131267,"ĠعÙħ":131268,"ספר":131269,"Ġnhóm":131270,"ÙĪصÙģ":131271,"ĠChúng":131272,"ĠرÙĤÙħ":131273,"ãģ¾ãģĹãģŁãģĮ":131274,"alité":131275,"ลม":131276,"ĠëĤ´ê°Ģ":131277,"׾ק×ķ×Ĺ":131278,"ĠSÆ¡n":131279,"posição":131280,"miÄĻ":131281,"Ġtránh":131282,"ĠÄIJá»Ļ":131283,"׼×Ĺ":131284,"ãģĤãģ£ãģ¦":131285,"à¸Ńยà¹Īา":131286,"Ġ×ŀ×Ĺ×Ļר":131287,"Ġ×Ķ×Ļת×Ķ":131288,"à¸Ľà¹Īา":131289,"à¸Ńืà¹Īà¸Ļà¹Ĩ":131290,"Ø´ÙĤ":131291,"×ł×¡×Ļ":131292,"림":131293,"ãģ¦ãģĹãģ¾ãģĨ":131294,"Ġ×ŀצ×ij":131295,"ãģ«åĩº":131296,"ÙħÙĪاطÙĨ":131297,"ยัà¸ĩมี":131298,"алÑĮнÑĭе":131299,"sanız":131300,"إسرائÙĬÙĦ":131301,"ĠvÃłi":131302,"ì¤Ħ":131303,"ãģ¨æĢĿãģ£ãģ¦":131304,"×Ļ×ķ׳×Ļ":131305,"çĶŁãģį":131306,"Ġsâu":131307,"ÑĩиÑģÑĤ":131308,"Ġlá»ħ":131309,"ĠGiá":131310,"à¸Ńà¸¸à¸Ľ":131311,"à¸Ńà¸¸à¸Ľà¸ģร":131312,"à¸Ńà¸¸à¸Ľà¸ģรà¸ĵà¹Į":131313,"Ġnhẹ":131314,"rö":131315,"ס×ĺ×Ļ":131316,"ãģķãĤĵãģĮ":131317,"Ġdầu":131318,"عÙİ":131319,"ترا":131320,"×Ĵ×ĵ׾":131321,"Ġtécnica":131322,"׼׳×Ļ×Ŀ":131323,"תקש":131324,"תקש×ķרת":131325,"Ġнего":131326,"était":131327,"Ġmá»ģm":131328,"ÑģеÑĤ":131329,"ĠnháºŃt":131330,"Ġ×ŀ×¢×ľ":131331,"Ġ×Ķ×¢×ij×ķ×ĵ":131332,"Ġ×Ķ×¢×ij×ķ×ĵ×Ķ":131333,"Ġ×Ĵ×Ļ׾":131334,"ãģ¯ãģªãģĦ":131335,"ائØŃ":131336,"ĠздеÑģÑĮ":131337,"×IJ×Ļ׳×ĺר":131338,"ÙħÙIJ":131339,"Ġ×Ļ×Ĺ×ĵ":131340,"راÙģ":131341,"ì²ĺ리":131342,"×ĵ×¢×ķת":131343,"ì¹ľ":131344,"ĠТо":131345,"ĠThế":131346,"충":131347,"Ġ׳׼×ķף":131348,"عÙĬØ´":131349,"низ":131350,"ĠجاÙĨب":131351,"×ŀקצ×ķ×¢":131352,"à¹Ĥà¸ĭ":131353,"ÑģÑĥÑĤ":131354,"ìĸ´ìļĶ":131355,"ãĤĴè¦ĭãģ¦":131356,"ارد":131357,"Ġaçıl":131358,"ĠاÙĦØŃÙĬاة":131359,"à¸ģà¹ĩà¹Ħà¸Ķà¹ī":131360,"ãģĿãĤĮãĤĴ":131361,"عضÙĪ":131362,"ĠгÑĢаж":131363,"ĠгÑĢаждан":131364,"à¸Īะà¸ķà¹īà¸Ńà¸ĩ":131365,"ĠìĿ´ëŁ¬":131366,"ĠìĿ´ëŁ¬íķľ":131367,"Ġtrách":131368,"ÙĨÙİ":131369,"Ġkısa":131370,"ÃĶ":131371,"ÑĪка":131372,"ãģ®äºº":131373,"ĠÐŁÐ¾Ñģ":131374,"ĠÐŁÐ¾Ñģле":131375,"ÑĥлÑĮ":131376,"ÙĪاجÙĩ":131377,"ÙĤرب":131378,"à¸Ľà¸ıิà¸ļัà¸ķิ":131379,"ê°Ļ":131380,"Ġ×ŀ׳":131381,"ĠÑģвои":131382,"براÙħج":131383,"ĠرÙĪ":131384,"пÑĢод":131385,"пÑĢодаж":131386,"ĠbyÅĤy":131387,"วัย":131388,"Ġgörün":131389,"ĠÃĪ":131390,"ÑİÑīим":131391,"ĠÑĤакой":131392,"ÙģÙĪر":131393,"ĠÙģعÙĦ":131394,"Ġбел":131395,"ëIJł":131396,"erÃŃa":131397,"ĠÑģвоÑİ":131398,"Ġlã":131399,"Ġlãnh":131400,"à¹Ģà¸ŀืà¹Īà¸Ńà¹ĥหà¹ī":131401,"ÙĤÙĨ":131402,"تطÙĪÙĬر":131403,"Ġsayı":131404,"ĠÑģейÑĩаÑģ":131405,"Ġ×IJ×Ĺרת":131406,"ק×ķפ×Ķ":131407,"ק×ķרס":131408,"ĠسÙħ":131409,"Ġ×ĺ×Ļפ×ķ׾":131410,"ìĿ´ëĿ¼ëĬĶ":131411,"دراسة":131412,"èµ·ãģĵ":131413,"×Ĺ×Ļ׳":131414,"×Ĺ×Ļ׳×ķ×ļ":131415,"×ĵק":131416,"Ġë§ŀ":131417,"Ġкоманд":131418,"ĠÐijо":131419,"ĠигÑĢÑĭ":131420,"à¸ļี":131421,"ĠØ£Ùİ":131422,"вен":131423,"ĠاÙĦجدÙĬد":131424,"ĠÙĦØ¥":131425,"Ġ×ķ×IJ׳×Ļ":131426,"Ġ×Ķס×Ļ":131427,"иÑĩеÑģкого":131428,"رÙĪØŃ":131429,"à¸ģารศึà¸ģษา":131430,"ĠTrÆ°á»Ŀng":131431,"игÑĢа":131432,"ılması":131433,"ĠмаÑģÑģ":131434,"ãģ¨ãģįãģ«":131435,"à¸Ĺีà¹Īà¸ľà¹Īาà¸Ļ":131436,"à¸Ĺีà¹Īà¸ľà¹Īาà¸Ļมา":131437,"ĠاÙĦسابÙĤ":131438,"Ġ×ŀ×¢×ĺ":131439,"ваÑĤÑĮ":131440,"mÃ¼ÅŁ":131441,"Ġ׾׼×ļ":131442,"Ġtá»ĭch":131443,"ÙģÙĩÙħ":131444,"تدرÙĬب":131445,"Ø´Ùĥ":131446,"Ġ×ij×ŀ×Ļ":131447,"Ġ×ij×ŀ×Ļ×ķ×Ĺ×ĵ":131448,"ÙĤطاع":131449,"ãģªãģĹ":131450,"×ķצ×Ļ×IJ":131451,"ĠÙĪسÙĬ":131452,"зÑĥ":131453,"Ġyat":131454,"Ġyatırım":131455,"ë§İ":131456,"Ġthắng":131457,"ãģĬ客":131458,"ãģĬ客æ§ĺ":131459,"ĠThiên":131460,"ãģ«å¯¾ãģĹãģ¦":131461,"ÑĢиÑģ":131462,"ÙĨتائ":131463,"ÙĨتائج":131464,"Ġ×ŀשר":131465,"Ġ×ŀשר×ĵ":131466,"ĠتعاÙĦ":131467,"ĠتعاÙĦÙī":131468,"ש׳×Ļ":131469,"ÙĩاÙħ":131470,"×IJ׳ש×Ļ×Ŀ":131471,"Ġżycia":131472,"ĠÑĢÑĥблей":131473,"ÙĬض":131474,"Ġkatıl":131475,"ĠÙħÙĪضÙĪع":131476,"Ġvardır":131477,"ĠÙħÙĨØ·ÙĤØ©":131478,"ĠTrần":131479,"ĠвеÑģ":131480,"üp":131481,"ÙħÙĪÙĨ":131482,"ÑĪли":131483,"Ġnóng":131484,"Ø®ÙĦÙģ":131485,"ĠСÑĤа":131486,"ĠдоÑĢ":131487,"ĠдоÑĢог":131488,"ĠwÅĤaÅĽnie":131489,"eÄŁin":131490,"Ġhiá»ĥm":131491,"ĠСам":131492,"ê»ĺìĦľ":131493,"ĠÑĦа":131494,"ãģ»ãģĨ":131495,"ãģ»ãģĨãģĮ":131496,"×ķפ×Ļ×¢":131497,"ê°Ī":131498,"دÙĪÙĦ":131499,"Ġthuê":131500,"Ġchá»Ĺ":131501,"Ġëĭ¹ìĭł":131502,"ãģijãĤĮ":131503,"ãģijãĤĮãģ©":131504,"ë³´íĺ¸":131505,"ãģķãĤĮãģ¦ãģĦãģ¾ãģĻ":131506,"Ġнадо":131507,"ĠìĤ¬ëŀĮëĵ¤":131508,"à¹Ģà¸Ĥà¸ķ":131509,"สมัย":131510,"zÅĤ":131511,"تÙĪر":131512,"Ġשת×Ļ":131513,"vê":131514,"Ġ×ijת×ķ×ļ":131515,"à¸Ĭัย":131516,"ãģĦãģ£ãģŁ":131517,"ìĿij":131518,"Ġtầ":131519,"Ġtầng":131520,"ש׼ר":131521,"Ġê¸Ģ":131522,"Ġ×Ķש׳×Ķ":131523,"ĠاÙĨÙĩ":131524,"ç«ĭãģ¡":131525,"rés":131526,"führen":131527,"رØŃÙħ":131528,"ê·¹":131529,"ĠâĢ«":131530,"Ġsuất":131531,"à¸Łà¸´":131532,"ÙĬÙĩا":131533,"ĠاÙĦاتØŃاد":131534,"Ġtuyá»ĥn":131535,"ãģ¾ãĤĭ":131536,"Ġmại":131537,"Ġngân":131538,"ãĤ°ãĥ©":131539,"欲ãģĹãģĦ":131540,"سار":131541,"ãĤĤãģ®ãģ§ãģĻ":131542,"кие":131543,"Ġseçim":131544,"åħ¥ãĤĬ":131545,"ãģªãģ©ãĤĴ":131546,"ÑĤÑĢи":131547,"ĠÑģпеÑĨ":131548,"Ġأد":131549,"Ġодно":131550,"ÑĪел":131551,"ãĥĩãĥ¼ãĤ¿":131552,"ãĤ·ãĤ¹ãĥĨ":131553,"ãĤ·ãĤ¹ãĥĨãĥł":131554,"è¡Įãģį":131555,"ãģ¨æĢĿãģ£ãģŁ":131556,"à¹Ģà¸ģิà¸Ķà¸Ĥึà¹īà¸Ļ":131557,"ĠÑĤож":131558,"ĠÑĤоже":131559,"Ġsạch":131560,"ĠÑģÑĢок":131561,"ĠклиенÑĤ":131562,"ĠÙħشرÙĪع":131563,"Ġaltında":131564,"Ġì·¨":131565,"ä¸Ńãģ®":131566,"ãģķãģĽãĤĭ":131567,"ãģĻãģ¹":131568,"ãģĻãģ¹ãģ¦":131569,"ê°ľë°ľ":131570,"ĠÄijêm":131571,"ãģªãģĦãģ®ãģ§":131572,"ì²ł":131573,"×¢×ij×ĵ":131574,"Ġdấu":131575,"à¸Ħà¸Ļà¸Ĺีà¹Ī":131576,"ĠCách":131577,"تعÙĦÙĬÙħ":131578,"Ġhại":131579,"ãĤ»ãĥķãĥ¬":131580,"ĠÙĨÙģسÙĩ":131581,"ĠíĨµíķ´":131582,"ÑĪло":131583,"ĠнапÑĢав":131584,"ĠнапÑĢавлен":131585,"ÑĢÑĥÑĩ":131586,"íĶĮ":131587,"Ġ×ijר×Ļ×IJ":131588,"ãģ®ãģ¿":131589,"ãģ«ãģĬãģĦãģ¦":131590,"×ij׳ק":131591,"ãĤ¨ãĥ³":131592,"Ø«ÙĦاث":131593,"Ġmỹ":131594,"ĠÑģайÑĤе":131595,"ĠемÑĥ":131596,"تغÙĬ":131597,"تغÙĬÙĬر":131598,"خصÙĪص":131599,"ÑĤели":131600,"Ġ×ķ׾׼ף":131601,"פע×Ŀ":131602,"ĠпоÑįÑĤомÑĥ":131603,"راÙĨ":131604,"иÑĤелей":131605,"пиÑģан":131606,"×¢×¥":131607,"ĠìĤ¬ìĹħ":131608,"Ùħز":131609,"جÙħÙĬع":131610,"ë©´ìĦľ":131611,"à¸ľà¸¥à¸´à¸ķà¸łà¸±":131612,"à¸ľà¸¥à¸´à¸ķà¸łà¸±à¸ĵ":131613,"à¸ľà¸¥à¸´à¸ķà¸łà¸±à¸ĵà¸ij":131614,"à¸ľà¸¥à¸´à¸ķà¸łà¸±à¸ĵà¸ijà¹Į":131615,"ĠпÑĢимеÑĢ":131616,"ãĤŃãĥ¼":131617,"lâ":131618,"ĠchÄĥm":131619,"缮ãģ®":131620,"ãģĦãģĭ":131621,"ãģ¨è¨ĢãģĨ":131622,"×ĸ×ķ×Ĵ":131623,"Ġ×ij×ĵ×Ļ":131624,"Ġ×ij×ĵ×Ļ×ķק":131625,"ãģĬåºĹ":131626,"à¸ķà¸Ńà¸Ļà¸Ļีà¹ī":131627,"Ġphá»iji":131628,"пÑĤ":131629,"สà¸Ļาม":131630,"Ø·ÙĪ":131631,"صاØŃ":131632,"صاØŃب":131633,"ĠDü":131634,"ĠDünya":131635,"Ġпока":131636,"пал":131637,"ĠÄijảo":131638,"ĠاÙĦÙģÙĪر":131639,"ĠاÙĦÙģÙĪرÙĥس":131640,"Ġmáu":131641,"кÑĢеп":131642,"ĠاÙĦساعة":131643,"ĠгоÑĢода":131644,"ÙģصÙĦ":131645,"айÑĤе":131646,"Ġдог":131647,"ĠдоговоÑĢ":131648,"Ġإذ":131649,"Ġ×ij׼׾׾":131650,"ÙĬتÙĩ":131651,"×Ĵ×ijר":131652,"Ġbirç":131653,"Ġbirçok":131654,"문íĻĶ":131655,"ãģĿãģĨãģª":131656,"راØŃ":131657,"ĠÙħرة":131658,"ĠденÑĮги":131659,"fä":131660,"à¸Ĥà¹īาว":131661,"ĠÑģовÑĢем":131662,"ĠÑģовÑĢеменн":131663,"׾×Ĺ×¥":131664,"èī¯ãģı":131665,"ĠÙģØ£":131666,"Ġ×ķ×ĸ×Ķ":131667,"Ġзани":131668,"Ġзанима":131669,"Ġê°Ģì§Ģê³ł":131670,"ĠhÆ¡i":131671,"ãģªãģ®ãģĭ":131672,"ãĥĨãĥ¬ãĥĵ":131673,"Ġר×ij×ķת":131674,"à¸ķี":131675,"Ġ×ij×©×ł×ª":131676,"ĠTại":131677,"ĠthuáºŃn":131678,"Ñģел":131679,"Ñijм":131680,"dziÄĩ":131681,"ĠÑģка":131682,"ĠÑģкаÑĩ":131683,"ĠÑģкаÑĩаÑĤÑĮ":131684,"×ķ×ŀ×ķ":131685,"гла":131686,"ĠминÑĥÑĤ":131687,"åĩºãģĻ":131688,"Ġ×Ĺ×Ļ×Ļ×ij":131689,"Ġת×Ĵ×ķ×ij×Ķ":131690,"à¸£à¸¹à¸Ľà¹ģà¸ļà¸ļ":131691,"ниÑĨа":131692,"ĠÄ°n":131693,"Ġأع":131694,"ĠضÙħÙĨ":131695,"ÙħثاÙĦ":131696,"ĠyaÅŁan":131697,"ĠìĹ°êµ¬":131698,"ĠLê":131699,"ש׾×Ĺ":131700,"ãģıãģªãĤĭ":131701,"ìĹĨìĿ´":131702,"ĠÑĤÑĢи":131703,"ĠÑĩаÑģÑĤо":131704,"ĠобÑĢаÑĤ":131705,"пло":131706,"دخ":131707,"دخÙĪÙĦ":131708,"سÙĩ":131709,"à¸Ńาà¸ģ":131710,"à¸Ńาà¸ģาศ":131711,"Ġ׼×ĸ×Ķ":131712,"Ġ×Ķעסק":131713,"ĠاÙĦØ£ÙĨ":131714,"å¹´ãģ«":131715,"עש×ķ":131716,"Ġשע×ķת":131717,"ĠmÃłn":131718,"×IJר×Ļ":131719,"sıyla":131720,"ÙģرÙĤ":131721,"ниÑħ":131722,"Ġتست":131723,"è¦ĭãģ¦":131724,"ØŃاÙĪÙĦ":131725,"×IJ×Ļ׼×ķת":131726,"ĠbaÅŁladı":131727,"stÄħ":131728,"stÄħpi":131729,"à¸Ĺีà¹Īà¹Ģรา":131730,"ÙĤرر":131731,"جاب":131732,"Ġ×ijר×ķר":131733,"à¹Ģà¸Ĥà¹īาà¹ĥà¸Ī":131734,"×ŀ×Ĺקר":131735,"alım":131736,"Ġס×Ļפ×ķר":131737,"ãģ§ãģĤãĤĮãģ°":131738,"Ġש×ŀ×ķר×ķת":131739,"Ġ×ķ×ŀ×Ķ":131740,"ãģĵãģĿ":131741,"idée":131742,"ä¸ĭãģķãģĦ":131743,"تÙĨاÙĪÙĦ":131744,"Ġลà¹īาà¸Ļ":131745,"Ġìļ°ë¦¬ëĬĶ":131746,"اÙĨا":131747,"ÑģÑĤой":131748,"боÑĤ":131749,"ĠyaÅŁam":131750,"köy":131751,"Ø¥ÙĦ":131752,"ÑĢÑĭв":131753,"기ìĹħ":131754,"Ġ×Ķ×ŀ×ĵ":131755,"Ġ×Ķ×ŀ×ĵ×Ļ׳×Ķ":131756,"دب":131757,"×¢×Ļ׳×Ļ":131758,"×ŀת×Ĺ":131759,"Ġפר×Ļ":131760,"ãĥĭãĥ¼":131761,"اÙħÙĬ":131762,"Ġnhằm":131763,"ãĤĮãģªãģĦ":131764,"تعرÙģ":131765,"Ġë§ĪìĿĮ":131766,"ìĵ°":131767,"Ġhấp":131768,"ר×Ĵ×Ļ׾":131769,"بÙİ":131770,"ĠrÄĥng":131771,"glÄħd":131772,"ĠÑģиÑģÑĤемÑĭ":131773,"Ġkhóa":131774,"ãģ§ãģĻãĤĪãģŃ":131775,"大ãģįãģı":131776,"기를":131777,"Ġkéo":131778,"ÙĪØ¡":131779,"جاÙħ":131780,"جاÙħع":131781,"Ġ×¢×Ļצ×ķ×ij":131782,"téri":131783,"Ġתש":131784,"Ġ×IJ×ij×Ļ":131785,"ĠChÆ°Æ¡ng":131786,"à¸ļริà¹Ģว":131787,"à¸ļริà¹Ģวà¸ĵ":131788,"ãģ¤ãģı":131789,"Ġ×Ĺ×ķ׾":131790,"עת×Ļ×ĵ":131791,"ש×Ļ×ŀ×Ķ":131792,"ëĤ¨":131793,"Ġש×IJ×Ļף":131794,"ĠÙĪاÙĦØ¥":131795,"ÑĦа":131796,"Ġkhám":131797,"Ġ×ĺ×ķ×ij×Ķ":131798,"ĠвÑĭÑģ":131799,"ĠвÑĭÑģоко":131800,"ĠاÙĦØŃدÙĬØ«":131801,"人ãĤĤ":131802,"dÃ¼ÄŁÃ¼":131803,"×Ļ×Ĺ×ķ×ĵ":131804,"تعÙĦÙĬ":131805,"تعÙĦÙĬÙĤ":131806,"lö":131807,"تØŃدÙĬد":131808,"него":131809,"ĠÑĥдоб":131810,"Ġ׾×ŀ×Ļ":131811,"Ġר×ķצ×Ļ×Ŀ":131812,"Ġجاء":131813,"Ġ×ij×ĸ×ŀף":131814,"à¸Ľà¸ģà¸ķิ":131815,"é«ĺãģı":131816,"à¸Ľà¸¥à¸²":131817,"Ġartık":131818,"Ġbugün":131819,"ק׳×Ļ":131820,"Ġkhoá":131821,"ĠÙħرÙĥز":131822,"ĠìŀIJ기":131823,"درجة":131824,"×ŀשר×ĵ":131825,"Ġgiấy":131826,"Ġchóng":131827,"קפ":131828,"ÙĬبة":131829,"ĠczÄĻsto":131830,"вали":131831,"Ùĥب":131832,"ìŁģ":131833,"สà¸ļาย":131834,"à¸Ľà¸£à¸°à¸Ĭาà¸Ĭà¸Ļ":131835,"×Ĵ×ķ×£":131836,"ëŁī":131837,"ãģ®ãģĵãģ¨":131838,"ลà¸Ń":131839,"Ġnghá»ī":131840,"åŃIJãģ©":131841,"åŃIJãģ©ãĤĤ":131842,"à¹Ħà¸Ķà¹īà¸Ńย":131843,"à¹Ħà¸Ķà¹īà¸Ńยà¹Īาà¸ĩ":131844,"×ĵ×¢":131845,"ĠاÙĦتÙī":131846,"ĠÑģовеÑĤ":131847,"ĠqualitÃł":131848,"åĩºãģĹ":131849,"ĠÑĢÑĥков":131850,"ĠÑĢÑĥковод":131851,"รายละà¹Ģà¸Ńียà¸Ķ":131852,"ãģªãģĭãģªãģĭ":131853,"기ê´Ģ":131854,"Ġ×Ĺ×ķש":131855,"Ġ×Ĺ×ķש×ij":131856,"лоÑĤ":131857,"à¸Ļะà¸Ħรัà¸ļ":131858,"ק×ij×ķצ×Ķ":131859,"Ġthái":131860,"Ġש×ij×Ķ":131861,"ĠÑĪкол":131862,"ĠÙĦÙĥÙĦ":131863,"à¹ĥà¸Ļà¸Ĭà¹Īวà¸ĩ":131864,"ĠÙħÙĥاÙĨ":131865,"ëķĮ":131866,"Ġcải":131867,"ĠChÃŃ":131868,"ÑĥÑĩа":131869,"ìĿµ":131870,"Ġxảy":131871,"à¸Ĭà¸Ļิà¸Ķ":131872,"ĠcáºŃu":131873,"кÑĢов":131874,"ssé":131875,"ĠÙĨÙĪع":131876,"ĠТа":131877,"Ø®Ùħس":131878,"פ×ķס×ĺ":131879,"Ġmắc":131880,"ĠÄijem":131881,"à¸ģารà¹ĥà¸Ĭà¹ī":131882,"ר×ķס":131883,"ĠÐĽÐµ":131884,"Ġthá»Ń":131885,"รà¹Īาà¸ĩà¸ģาย":131886,"üzü":131887,"æĹ¥æľ¬ãģ®":131888,"ê³¼ìłķ":131889,"ש×Ļ×IJ":131890,"ĠìŀĪê³ł":131891,"×ij×ķ׾":131892,"ìķħ":131893,"ĠÙĪاÙĦا":131894,"ĠÐĽÐ¸":131895,"ĠвÑģÑij":131896,"Ġużytkow":131897,"×Ĺ×ķ׾":131898,"رÙģض":131899,"Ġsonuç":131900,"ãģĦãģ¾ãģĽãĤĵ":131901,"ìĤ¬ìĹħ":131902,"ëĪĦ":131903,"ÑĤек":131904,"ĠudziaÅĤ":131905,"лез":131906,"Ġ×Ķ×Ļ×Ļת×Ļ":131907,"ãĤīãĤĮãģ¦":131908,"ÙħسؤÙĪÙĦ":131909,"رار":131910,"ÑĤан":131911,"ĠÄijÃło":131912,"Ġר×ķ×ij":131913,"Ġ×ijש×ij×Ļ׾":131914,"ä»ĬåĽŀãģ¯":131915,"ãĤ¸ãĥ¥":131916,"Ġ×¢×ijר":131917,"ãģĽãģ¦":131918,"полÑĮ":131919,"aklı":131920,"ĠkÃŃnh":131921,"دت":131922,"ложение":131923,"ĠاÙĦÙħص":131924,"ĠاÙĦÙħصرÙĬ":131925,"à¸Īริà¸ĩà¹Ĩ":131926,"ĠاÙĦشرÙĥØ©":131927,"ĠÄijá»ı":131928,"ãĥĽãĥĨ":131929,"ãĥĽãĥĨãĥ«":131930,"Ñįкон":131931,"Ñįконом":131932,"ĠÙĪعÙĨ":131933,"Ġ×ª×ł":131934,"Ġ×ª×ł×IJ×Ļ":131935,"ĠاÙĦدÙĪÙĦÙĬØ©":131936,"Ġì§ĢìĹŃ":131937,"ãģ§ãģĻãģĭ":131938,"ĠваÑĢи":131939,"ĠваÑĢианÑĤ":131940,"ĠاÙĦعرب":131941,"ела":131942,"ĠtÆ°á»Ľng":131943,"skÄħ":131944,"Ġmặc":131945,"สัà¸ģ":131946,"ãĥĵãĥ¼":131947,"Ġ×ij×Ĵ׾":131948,"Ġ×ij×Ĵ׾׾":131949,"ãĥķãĤ¡ãĥ³":131950,"×ij×Ļצ":131951,"×ij×Ļצ×ķ×¢":131952,"лиÑģÑĤ":131953,"à¸Łà¸¸":131954,"à¸Łà¸¸à¸ķ":131955,"à¸Łà¸¸à¸ķà¸ļà¸Ńล":131956,"à¸Ŀà¹Īาย":131957,"ìŀIJìĿĺ":131958,"ĠسÙĪÙģ":131959,"Ġש×Ķת":131960,"Ġ걸":131961,"×¢×ij×ķ×ĵ":131962,"ãģĻãĤĭãģĵãģ¨ãģĮ":131963,"ĠÑĩаÑģÑĤÑĮ":131964,"ãĤ¢ãĥ¡ãĥª":131965,"ãĤ¢ãĥ¡ãĥªãĤ«":131966,"Ġtakım":131967,"ĠsỼ":131968,"ĠsỼm":131969,"שר×Ķ":131970,"è¨ĢãģĨ":131971,"лан":131972,"커":131973,"׼׳×Ķ":131974,"ÙĪÙģÙĬ":131975,"íĹĪ":131976,"luÄŁu":131977,"ĠëĮĢíķ´":131978,"Ġ׾×ij×Ļת":131979,"Ġ×Ķר×IJש×ķ׳×Ķ":131980,"صÙħ":131981,"Ġsöyled":131982,"Ġsöyledi":131983,"à¸Ľà¸²à¸ģ":131984,"Ġardından":131985,"ãģĪãģŁ":131986,"à¸Ĺัà¹Īวà¹Ħà¸Ľ":131987,"Ġ׳×ķסף":131988,"болÑĮ":131989,"ãĤĵãģ§ãģĻãģijãģ©":131990,"ĠлиÑĪÑĮ":131991,"Ġ×ij×IJ×Ļ":131992,"ĠбÑĭÑģÑĤÑĢо":131993,"สัà¸Ļ":131994,"Ġ×ijפ׳×Ļ":131995,"леÑĩ":131996,"ĠاÙĦخبر":131997,"Ġsóc":131998,"Ġthú":131999,"ĠпÑıÑĤ":132000,"ãģĬé¡ĺ":132001,"ãģĬé¡ĺãģĦ":132002,"ÑĤин":132003,"ãģ«ãģ¤ãģĦãģ¦ãģ¯":132004,"פף":132005,"ĠдвÑĥÑħ":132006,"à¸įีà¹Ī":132007,"à¸įีà¹Īà¸Ľ":132008,"à¸įีà¹Īà¸Ľà¸¸":132009,"à¸įีà¹Īà¸Ľà¸¸à¹Īà¸Ļ":132010,"опеÑĢ":132011,"ĠاÙĦبشر":132012,"ĠاÙĦÙħاÙĦ":132013,"ıyoruz":132014,"تØŃÙħÙĬÙĦ":132015,"à¸ģะ":132016,"éĸĵãģ«":132017,"×Ĺ×ķש":132018,"ĠNguyên":132019,"ãģĦãģ¦ãģĦãĤĭ":132020,"дÑĥÑĪ":132021,"שפע":132022,"ÑĪÑĥ":132023,"å®ŁéļĽãģ«":132024,"ĠÑĢайон":132025,"ĠChá»ī":132026,"ÙĨصر":132027,"Ġìļ´":132028,"Ġìļ´ìĺģ":132029,"Ġ×Ķ×ĵ×Ļף":132030,"ØŃدد":132031,"رز":132032,"ĠاÙĦدÙħ":132033,"ĠPháp":132034,"ÑĤÑģÑı":132035,"è¦ĭãģĪ":132036,"Ġtiá»ĥu":132037,"Ġsá»Ńa":132038,"аÑİÑĤÑģÑı":132039,"ĠBá":132040,"Ġ×ķ׼׾":132041,"Ðĸ":132042,"ÑĪим":132043,"ìĿ´ëĬĶ":132044,"лев":132045,"dık":132046,"Ġprésente":132047,"Ġaraç":132048,"صدÙĤ":132049,"Ġпомог":132050,"ĠاÙĦشرÙĤ":132051,"ĠÙĪاÙĦØ°ÙĬ":132052,"رÙĬا":132053,"×ij׳×ķת":132054,"Ġngá»ĵi":132055,"ר×ķפ":132056,"ר×ķפ×IJ":132057,"Ġthấp":132058,"ãĤĦãģ¯":132059,"ãĤĦãģ¯ãĤĬ":132060,"ĠاÙĦجدÙĬدة":132061,"éĿŀ常ãģ«":132062,"ÙĬÙĦÙĬ":132063,"쪽":132064,"تعاÙħÙĦ":132065,"ãģłãģ¨æĢĿãģĦãģ¾ãģĻ":132066,"ÙħÙħ":132067,"иÑĤели":132068,"ãĤµãĤ¤ãĤº":132069,"ادات":132070,"ĠاÙĦÙħاÙĦÙĬØ©":132071,"Ùĥاتب":132072,"кли":132073,"веÑĢÑħ":132074,"ниÑĩ":132075,"Ġ×ľ×¢×ij×ķ×ĵ":132076,"׾×Ļ×Ķ":132077,"ØŃÙİ":132078,"ãĤ¤ãĥĻ":132079,"ãĤ¤ãĥĻãĥ³ãĥĪ":132080,"Ġת×Ĵ×ķ×ij×ķת":132081,"ÑĦон":132082,"ĠдÑĢÑĥгие":132083,"×IJ×ĸ×ķר":132084,"Ġperò":132085,"ìķŀ":132086,"åĢŁãĤĬ":132087,"רצ×Ļ":132088,"×IJ×ĸ":132089,"алÑĮнÑĭÑħ":132090,"Ġê²ĥìľ¼ë¡ľ":132091,"ĠпÑĢаво":132092,"ĠاÙĦأرض":132093,"à¹Ģà¸Ĺà¸Ħ":132094,"à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļ":132095,"à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļà¹Ĥล":132096,"à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļà¹Ĥลย":132097,"à¹Ģà¸Ĺà¸Ħà¹Ĥà¸Ļà¹Ĥลยี":132098,"צר×Ļ":132099,"ĠÐļÑĥ":132100,"ılma":132101,"決ãĤģ":132102,"اÙĪ":132103,"Ġ×ĵק×ķת":132104,"à¸Ħรู":132105,"ĠÙħستÙĪÙī":132106,"à¸Ľà¹īà¸Ńà¸ĩ":132107,"à¸Ľà¹īà¸Ńà¸ĩà¸ģัà¸Ļ":132108,"×ĵ×ķ×ŀ×Ķ":132109,"ĠÑģегоднÑı":132110,"سÙĪÙĤ":132111,"ר×Ĺ×ķ×ij":132112,"Ġإدارة":132113,"Ñħож":132114,"éģİãģİ":132115,"à¸Ħà¸Ń":132116,"нÑĥл":132117,"×ķ׼×Ķ":132118,"ÙĪاÙģÙĤ":132119,"׼׾׾":132120,"Ġ×Ķ×ĵ×ķ":132121,"ĠlÄ©nh":132122,"Ġkhảo":132123,"×IJ×ŀצע":132124,"머":132125,"Ġ׼×Ļצ":132126,"Ġ׼×Ļצ×ĵ":132127,"ĠдолжнÑĭ":132128,"หวัà¸ĩ":132129,"ãĥĩãĤ¶":132130,"ãĥĩãĤ¶ãĤ¤ãĥ³":132131,"Ġngá»Ŀ":132132,"ä¸Ńãģ«":132133,"à¸ģลัà¸ļมา":132134,"جÙħاÙĦ":132135,"à¸Ķัà¸ĩà¸ģลà¹Īาว":132136,"سÙĥÙĨ":132137,"سÙĨ":132138,"Ġözellikle":132139,"зеÑĢ":132140,"rzÄĻ":132141,"×ŀ×ķר×Ķ":132142,"Ġlạ":132143,"×ŀ×Ļ׳×Ļ":132144,"ר×Ļת":132145,"ãģĿãĤĮãģĮ":132146,"ãģĭãĤĮ":132147,"ĠÙĬÙħÙĥÙĨÙĥ":132148,"öffentlich":132149,"ган":132150,"ĠاÙĦØŃÙĦ":132151,"ĠmiÄĻdzy":132152,"ĠÑĩаÑģÑĤи":132153,"ujÄħcy":132154,"ĠbaÄŁlı":132155,"ĠiliÅŁki":132156,"Ùģاء":132157,"ãĥªãĥ³ãĤ°":132158,"Ġhãng":132159,"ĠконÑĤÑĢ":132160,"ĠконÑĤÑĢол":132161,"коп":132162,"ש×Ļ×¢":132163,"ש×Ļ×¢×ķר":132164,"ĠÐĴаÑĪ":132165,"Ġ×Ķתק":132166,"ÙħÙĨع":132167,"ĠpolÃŃtico":132168,"Ġголов":132169,"ĠØ¥ÙĬ":132170,"Ø¥ÙĨتاج":132171,"à¸ļิ":132172,"ĠговоÑĢ":132173,"ĠговоÑĢиÑĤ":132174,"Ġphá»ķ":132175,"ĠÑģемÑĮ":132176,"ãģ¯ãģĤãĤĬãģ¾ãģĽãĤĵ":132177,"ĠÙĪاست":132178,"×ŀשפ×ĺ":132179,"зем":132180,"×ŀ×ĵ×ijר":132181,"Ġíģ°":132182,"ĠìĿ´ë²Ī":132183,"ê°ĢëĬĶ":132184,"Ġì§ĢìĽIJ":132185,"ĠcaÅĤy":132186,"ĠgeliÅŁtir":132187,"Ñģкое":132188,"posé":132189,"Ġkhô":132190,"à¸ķิà¸Ķà¸ķาม":132191,"missão":132192,"Ġ׾×ŀר":132193,"Ġ׾×ŀר×ķת":132194,"Ġbó":132195,"à¸ķรวà¸Īสà¸Ńà¸ļ":132196,"Ġnghá»ģ":132197,"Ġбиз":132198,"ĠбизнеÑģ":132199,"ÑģÑĤеÑĢ":132200,"ÙĪÙİ":132201,"楽ãģĹãģ":132202,"楽ãģĹãģ¿":132203,"ãģĵãĤĮãģĭãĤī":132204,"wiÄħzan":132205,"สà¸Ńà¸Ļ":132206,"ÙħÙĪر":132207,"׳×ĵ׾":132208,"Ġ×Ķ×IJ×ĵ×Ŀ":132209,"Ġмолод":132210,"ØŃÙħا":132211,"ØŃÙħاÙĬØ©":132212,"ÑģÑĤÑĢан":132213,"Ġbuá»ķi":132214,"ת×Ļ×Ļ×Ŀ":132215,"abileceÄŁi":132216,"LÄ°":132217,"à¹Ģยà¸Ńะ":132218,"à¸Īร":132219,"سÙĥاÙĨ":132220,"à¸Ļัà¸Ķ":132221,"Ġmấy":132222,"ĠÐijа":132223,"sÅĤaw":132224,"ĠÙģÙĦا":132225,"ĠкоÑĤоÑĢой":132226,"ĠплоÑī":132227,"ĠплоÑīад":132228,"ãĤĤãģĤãĤĬ":132229,"szczÄĻ":132230,"×Ļפ×ķ":132231,"ש×ŀת":132232,"owaÅĤa":132233,"Ġnông":132234,"צ×ij×IJ":132235,"ĠìŀĪìĹĪ":132236,"ãģ¾ãģ¨":132237,"ãģ¾ãģ¨ãĤģ":132238,"ÙĤÙĪات":132239,"ãģ¿ãĤĵãģª":132240,"Ġ׼×ŀ×¢×ĺ":132241,"Ġxúc":132242,"ï¼Ĩ":132243,"rÄĻ":132244,"rÄĻcz":132245,"×ĵ×ŀ×Ļ":132246,"ĠtáºŃn":132247,"à¸Ķวà¸ĩ":132248,"ê²½ìłľ":132249,"пÑĥÑĤ":132250,"أربع":132251,"Ġ×ŀשת×ŀש":132252,"ãĤ¿ãĤ¤ãĥĹ":132253,"Ġìłľê°Ģ":132254,"Ġ׾׼ף":132255,"ĠобÑĢазом":132256,"ÙĬÙĥا":132257,"wÅĤ":132258,"wÅĤasn":132259,"ĠاÙĦÙĪØ·ÙĨÙĬØ©":132260,"بÙĬب":132261,"×ŀ׾×Ļ":132262,"кÑĢаÑĤ":132263,"기ìĹIJ":132264,"ÙĤاد":132265,"ĠÙĦدÙī":132266,"à¸Ħวามรูà¹ī":132267,"×ŀ×ĵ×Ļ׳×Ļ×ķת":132268,"겨":132269,"ĠíĺĦìŀ¬":132270,"שת×Ļ":132271,"мол":132272,"Ġmái":132273,"à¸ŀิม":132274,"à¸ŀิมà¸ŀ":132275,"à¸ŀิมà¸ŀà¹Į":132276,"หลวà¸ĩ":132277,"Ġxuyên":132278,"×Ĺסר":132279,"رÙĪÙĨ":132280,"ãģĿãģĨãģĦãģĨ":132281,"ãģĿãĤĮãģŀ":132282,"ãģĿãĤĮãģŀãĤĮ":132283,"Ġ׼ש×Ķ":132284,"ÐŁÑĢав":132285,"×ŀ×ijצע":132286,"عرب":132287,"Ġbüyü":132288,"פ×Ļת×ķ×Ĺ":132289,"à¸Īà¸ļ":132290,"ĠØ£Ùĥبر":132291,"שרת":132292,"×ŀ׼ש×Ļר":132293,"ĠÙĪÙħع":132294,"ãģ®ãģŁãĤģãģ«":132295,"à¸Ļัà¸ļ":132296,"ì°°":132297,"ãĥªãĥķãĤ©":132298,"ãĥªãĥķãĤ©ãĥ¼ãĥł":132299,"ĠcÆ°á»Ŀng":132300,"ĠìłĢíĿ¬":132301,"ÙħÙĨظÙħØ©":132302,"Ġhiçbir":132303,"ãģ§ãģ¯ãģĤãĤĬãģ¾ãģĽãĤĵ":132304,"รà¸Ńย":132305,"ëIJľëĭ¤":132306,"ãģĻãģIJãģ«":132307,"кла":132308,"Ġürünler":132309,"Ġkiá»ĥu":132310,"ĠëĤĺëĬĶ":132311,"ÑĤки":132312,"Ñģим":132313,"Ġchá»īnh":132314,"ãĤĤãģªãģĦ":132315,"ศรี":132316,"æĽ¿ãģĪ":132317,"taÅŁ":132318,"ĠبÙĥÙĦ":132319,"Ġ×ķ×Ļש":132320,"visão":132321,"ä¼Ŀ":132322,"ä¼ĿãģĪ":132323,"ÙĦد":132324,"׾×Ļ×ŀ":132325,"׾×Ļ×ŀ×ķ×ĵ":132326,"tória":132327,"دÙij":132328,"اÙħر":132329,"Ġê·¸ëłĩê²Į":132330,"ĠmateriaÅĤ":132331,"à¸Ĺรา":132332,"à¸Ĺราà¸ļ":132333,"ãģ®æĸ¹ãģĮ":132334,"ãģ¦ãģįãģŁ":132335,"ضغ":132336,"ضغط":132337,"ĠÙĬعÙĨÙĬ":132338,"ело":132339,"×IJ×Ķ×ij×Ķ":132340,"×¢×ŀ":132341,"ÅŁÄ±k":132342,"ìŀIJëĬĶ":132343,"ãĤ¿ãĥ³":132344,"ĠbáºŃt":132345,"×ŀשפ×Ĺ×Ķ":132346,"кÑĢи":132347,"бли":132348,"สัà¸ķ":132349,"สัà¸ķวà¹Į":132350,"ĠسÙĨÙĪات":132351,"ĠPhÆ°Æ¡ng":132352,"ãģ¦ãģĹãģ¾ãģ£ãģŁ":132353,"ãģªãģľ":132354,"Ġ×ij×IJ×ķ":132355,"Ġcán":132356,"سجÙĦ":132357,"Ġlẽ":132358,"ãĤ±ãĥ¼ãĤ¹":132359,"Ġק×Ļ×ij׾":132360,"à¸ļà¸Ĺà¸Ħวาม":132361,"Ġ×ķ׼ף":132362,"ĠпÑĢедÑģÑĤавлен":132363,"Ġná»iji":132364,"Ġcomentário":132365,"ением":132366,"Ġtá»ı":132367,"lÃł":132368,"Ġש×Ķ×Ļ×Ķ":132369,"Ñģлав":132370,"ĠاÙĦÙĪÙĦا":132371,"ĠاÙĦÙĪÙĦاÙĬات":132372,"ÙĦجÙĨØ©":132373,"ק×ķר×IJ":132374,"бÑĭÑĤ":132375,"Ġì¦":132376,"Ġì¦ī":132377,"ãģ§ãģĻãģĹ":132378,"หรืà¸Ńà¹Ħมà¹Ī":132379,"заÑīиÑĤ":132380,"ÙģÙĦسطÙĬÙĨ":132381,"Ġmiá»ħn":132382,"à¹Ģยà¹ĩà¸Ļ":132383,"ĠçalÄ±ÅŁan":132384,"×Ļ×Ĵ×Ķ":132385,"ĠEÄŁ":132386,"ĠEÄŁitim":132387,"ãĥĥãĤ·ãĥ¥":132388,"ĠопÑĭ":132389,"ĠопÑĭÑĤ":132390,"رغ":132391,"رغب":132392,"ĠÑģвоиÑħ":132393,"à¸Ľà¸£à¸°à¸ķ":132394,"à¸Ľà¸£à¸°à¸ķู":132395,"Ġ×ŀ×IJ×ĵ":132396,"׼×ķ׳×Ļ×Ŀ":132397,"à¸Ļี":132398,"ĠвÑĭÑħод":132399,"ãģ®ä¸Ńãģ«":132400,"פ׾×IJ":132401,"ĠÙĪÙĦÙĬس":132402,"פ×ķרס":132403,"פ×ķרס×Ŀ":132404,"ÙħسÙĦÙħ":132405,"Ġngôi":132406,"×ĵ×ŀ×ķת":132407,"ãĤĴ使ãģ£ãģ¦":132408,"ĠпомоÑīÑĮÑİ":132409,"أسر":132410,"блок":132411,"ÙĤÙĩ":132412,"ãģĹãģ¾ãģĦ":132413,"ãģ¨ãģĹãģŁ":132414,"ĠпеÑģ":132415,"ãĥīãĥ«":132416,"×Ĺ×Ŀ":132417,"ãģĹãģªãģĮãĤī":132418,"ĠÐŁÑĢед":132419,"ãĥģãĤ§ãĥĥãĤ¯":132420,"å¼·ãģĦ":132421,"ש×Ļר×ķת":132422,"даеÑĤ":132423,"×Ļ×ij×ķ":132424,"Ġgenç":132425,"илаÑģ":132426,"илаÑģÑĮ":132427,"ĠبÙĦد":132428,"æĤª":132429,"æĤªãģĦ":132430,"Ġ×ŀשת":132431,"æ§ĺãĢħ":132432,"æ§ĺãĢħãģª":132433,"à¸ĺรรมà¸Ĭาà¸ķิ":132434,"ĠÙĥاÙħÙĦ":132435,"ĠاÙĦسÙħ":132436,"×ij×ĺ×Ļ×Ĺ":132437,"cá":132438,"gência":132439,"ãĤ¹ãĤ¿ãĥ¼":132440,"à¸Ĺำà¸ģาร":132441,"×Ļ×ľ×ª":132442,"Ġ×Ļ×ķצ×IJ":132443,"wój":132444,"à¸ļุà¸Ħ":132445,"à¸ļุà¸Ħà¸Ħล":132446,"عتÙħ":132447,"عتÙħد":132448,"ãģĿãĤĮãģ«":132449,"ĠاÙĦتارÙĬØ®":132450,"ÙĤراء":132451,"Ġyönetim":132452,"קשר":132453,"ĠÑģпоÑĢÑĤ":132454,"Ġר×IJש×ķף":132455,"Ġseñal":132456,"Ġchắn":132457,"çĦ¡ãģĦ":132458,"ĠдоÑģÑĤаÑĤ":132459,"ĠдоÑģÑĤаÑĤоÑĩно":132460,"Ġágua":132461,"à¸ģรà¸ĵ":132462,"à¸ģรà¸ĵี":132463,"Ġ×ŀש×ķ":132464,"Ġtrải":132465,"ë²Į":132466,"ujÄħcych":132467,"Ùģرد":132468,"à¹ĥà¸ģล":132469,"à¹ĥà¸ģลà¹ī":132470,"ãĤĭãģ®ãģ¯":132471,"ר×ķ×ķ×Ĺ":132472,"ÙĨÙĥ":132473,"ĠاÙĦÙĨÙĤ":132474,"ãģ®ãģ§ãģĹãĤĩãģĨ":132475,"ãģ®ãģ§ãģĹãĤĩãģĨãģĭ":132476,"ÙħعرÙģ":132477,"ÙħعرÙģØ©":132478,"ÑĥÑīе":132479,"Ġ×ij×¢×Ļקר":132480,"تصÙĦ":132481,"Ġ×Ķ×IJר":132482,"Ġ×Ķ×IJרץ":132483,"ĠÅŀi":132484,"à¸Ĥาà¸Ķ":132485,"íŀĺ":132486,"ãģªãĤĵãģ¨":132487,"ĠìĤ¬ëŀij":132488,"lÃ¼ÄŁÃ¼":132489,"باء":132490,"ĠاÙĦآخر":132491,"ĠfamÃŃlia":132492,"ĠTháng":132493,"ÑīениÑı":132494,"ãĤ¯ãĥŃ":132495,"ĠThứ":132496,"æĽ¸ãģį":132497,"енной":132498,"ìŀ¡":132499,"благ":132500,"благо":132501,"пов":132502,"à¹ģว":132503,"à¸ĩà¸Ħà¹Į":132504,"à¸Ńัà¸Ļà¸Ķัà¸ļ":132505,"ãģĤãģĴ":132506,"รà¹īาย":132507,"ünün":132508,"Ġ×Ļ׼×ķ׾×Ķ":132509,"зон":132510,"ĠÐľÐ¸":132511,"маÑĤеÑĢиал":132512,"Ġë³´ë©´":132513,"ØŃÙģظ":132514,"êÌģ":132515,"ãģ«ãģĻãĤĭ":132516,"Ġת×IJ":132517,"Ġ×Ķס×ķ":132518,"ĠÑģÑĤоÑĢ":132519,"ĠÑģÑĤоÑĢон":132520,"ãĥĪãĥĥãĥĹ":132521,"ÅĤoÅĽÄĩ":132522,"ëħ¼":132523,"ëĵĿ":132524,"ĠÙĪاÙĦع":132525,"ì¶Ķ":132526,"Ġ×Ļצ×IJ":132527,"ĠÑĢаздел":132528,"алÑĮнаÑı":132529,"×IJ׳ש×Ļ":132530,"spoÅĤ":132531,"spoÅĤec":132532,"spoÅĤeczn":132533,"إعÙĦ":132534,"إعÙĦاÙĨ":132535,"ÙĤÙĪÙī":132536,"íķĺë©´ìĦľ":132537,"تطÙĪر":132538,"Ġsiêu":132539,"Ỽt":132540,"дви":132541,"движ":132542,"Ġquần":132543,"kıl":132544,"ĠпÑĢизна":132545,"ĠHã":132546,"ĠHãy":132547,"ĠباÙĦت":132548,"manın":132549,"ãĤ«ãĥ«":132550,"Ġká»·":132551,"ק׾×Ļ":132552,"ëIJĺì§Ģ":132553,"تعÙĦÙħ":132554,"ìĭľìĦ¤":132555,"ìĭ¶":132556,"íĺ¼":132557,"ÙĥÙĬÙģ":132558,"売ãĤĬ":132559,"วิà¸Ĭา":132560,"бал":132561,"ĠØ£ØŃ":132562,"Ġдолжен":132563,"ราà¸ĩ":132564,"ราà¸ĩวั":132565,"ราà¸ĩวัล":132566,"Ùħاء":132567,"جار":132568,"Åļ":132569,"Ġ×ŀ×IJ×ĸ":132570,"ר×ŀ×Ķ":132571,"ãģĭãĤĤãģĹãĤĮãģªãģĦ":132572,"étude":132573,"czÄħc":132574,"Ġgór":132575,"×ł×¡×Ķ":132576,"ÙħÙĬد":132577,"ĠÐŁÐµÑĢе":132578,"أخر":132579,"ãģĿãģ®å¾Į":132580,"à¹Ģà¸Ķียวà¸ģัà¸Ļ":132581,"×ŀ×Ĵ×ķ":132582,"×ŀ×Ĵ×ķ×ķף":132583,"дов":132584,"masına":132585,"×¢×ł×Ķ":132586,"ãĤ±ãĥĥãĥĪ":132587,"סע":132588,"סע×Ļ×£":132589,"ĠTÆ°":132590,"Ġtóc":132591,"íĻľëıĻ":132592,"ĠÐŀд":132593,"ĠÐŀднако":132594,"Ġdolayı":132595,"ؤÙĥد":132596,"ê³Ħíļį":132597,"׾ר":132598,"веÑĩ":132599,"Ġkhợi":132600,"Ġthủy":132601,"×ĵף":132602,"รà¸ģ":132603,"à¸ļัà¸ķร":132604,"à¹Ģà¸ģà¹Īา":132605,"ĠاÙĦثاÙĦ":132606,"ĠاÙĦثاÙĦØ«":132607,"Ġpodrá":132608,"ער×Ļ":132609,"ÙĨجاØŃ":132610,"Ġkhắc":132611,"측":132612,"Ä°M":132613,"ãĤ»ãĥĥãĥĪ":132614,"żenia":132615,"Ġ׾×Ĺ×ijר":132616,"erÃł":132617,"ì´Ī":132618,"Ġküç":132619,"Ġküçük":132620,"اتÙĩÙħ":132621,"à¸ĭà¹Į":132622,"ÙħشارÙĥØ©":132623,"ĠاÙĦبط":132624,"Ġdây":132625,"еннÑĭм":132626,"à¸Ĺีà¹Īà¹Ħมà¹Ī":132627,"ÙĤÙİ":132628,"Ġvượt":132629,"Ġtrì":132630,"ĠwpÅĤyw":132631,"AÅŀ":132632,"зо":132633,"ĠاÙĦسÙĬد":132634,"à¸Ĺะà¹Ģล":132635,"ĠÑģодеÑĢжа":132636,"عطÙĬ":132637,"ĠاÙĦعÙĨ":132638,"èĢħãģĮ":132639,"à¹Ģหà¸Ļ":132640,"à¹Ģหà¸Ļืà¸Ń":132641,"ĠbÃŃ":132642,"Ġüzerinden":132643,"ĠVÅ©":132644,"Ġnuôi":132645,"ÙĨÙħ":132646,"алÑĮного":132647,"×¢×Ļף":132648,"ØŃضر":132649,"ĠоÑĤдел":132650,"ëªĩ":132651,"ìķ¡":132652,"ĠÙĦدÙĬÙĩ":132653,"ìĻľ":132654,"Ġsektör":132655,"Ġвозможно":132656,"ĠÐĶж":132657,"Ġhô":132658,"äºĭãģĮ":132659,"иÑĢование":132660,"алÑĮной":132661,"Ġ미êµŃ":132662,"رØŃÙĦ":132663,"ĠÑįкÑģ":132664,"пÑĢавлÑı":132665,"Ġnhá»Ŀ":132666,"ĠÄijẩ":132667,"ĠÄijẩy":132668,"ÙģÙĥر":132669,"ĠÙĪأضاÙģ":132670,"ãĥIJãĤ¹":132671,"ת×ķ׼׳×Ļת":132672,"ÑĤелей":132673,"ĠØ¥ÙĦÙĬÙĩ":132674,"ãģ¨è¨Ģãģ£ãģ¦":132675,"Ġдве":132676,"Ġchấp":132677,"ĠLö":132678,"à¸Ħลิ":132679,"à¸Ħà¸¥à¸´à¸Ľ":132680,"ĠسÙĪر":132681,"ĠسÙĪرÙĬا":132682,"×ŀ×Ĺ×ķ":132683,"stä":132684,"доб":132685,"Ġniá»ĩm":132686,"ãģ®å¤§":132687,"פר×ķ×Ļק":132688,"פר×ķ×Ļק×ĺ":132689,"ĠChâu":132690,"Ġ×ŀ×Ķ×Ŀ":132691,"Ñģким":132692,"ĠполÑĥÑĩиÑĤÑĮ":132693,"ÙĬÙĪÙħ":132694,"Ø«ÙĪر":132695,"פ×ķ׾×Ļ×ĺ":132696,"פ×ķ׾×Ļ×ĺ×Ļ":132697,"ĠмеÑģÑıÑĨ":132698,"åħ¨ãģ¦":132699,"ĠاÙĦÙħجÙĦس":132700,"ĠاÙĦتاÙĦÙĬ":132701,"Ġ×Ĺר":132702,"åIJijãģij":132703,"׼×ŀ×Ķ":132704,"бед":132705,"أعض":132706,"أعضاء":132707,"ÙĪÙĦد":132708,"วà¹Īาà¸Īะ":132709,"Ġbánh":132710,"à¸Ļิย":132711,"à¸Ļิยม":132712,"à¸Ľà¸£à¸°à¸ģัà¸Ļ":132713,"ÑģÑĤавиÑĤÑĮ":132714,"à¸ŀà¸Ļัà¸Ļ":132715,"ĠÑįÑĦÑĦ":132716,"ĠÑįÑĦÑĦекÑĤив":132717,"ĠавÑĤоÑĢ":132718,"ĠÄIJÄĥng":132719,"ĠthÆ°á»Łng":132720,"ãĤĴæĦŁãģĺ":132721,"à¸ģัà¸ļà¸ģาร":132722,"å¾Įãģ«":132723,"ĠyaÄŁ":132724,"ستاÙĨ":132725,"Ġliá»ģn":132726,"ãģĦãģ¾":132727,"iêu":132728,"à¹Ĥà¸Ķà¸Ļ":132729,"ĠÙĦØ°ÙĦÙĥ":132730,"à¹Ĥรà¸ĩà¹Ģรียà¸Ļ":132731,"צ×Ļ×Ĵ":132732,"ĠاÙĦÙħعÙĦÙĪÙħات":132733,"ç§ģãģŁãģ¡":132734,"à¸Ĺีà¹Īà¸Ħุà¸ĵ":132735,"ãģ«ãģªãģ£ãģ¦ãģĦãĤĭ":132736,"×ŀ×ĵ×Ļ׳×Ķ":132737,"×¡×Ľ×Ŀ":132738,"Ġвне":132739,"à¸ŀà¸Ļัà¸ģà¸ĩาà¸Ļ":132740,"ÑĢей":132741,"à¹Ģà¸Īà¹īาหà¸Ļà¹īาà¸Ĺีà¹Ī":132742,"ĠHiá»ĩn":132743,"Ġmédico":132744,"ĠتØŃÙĤÙĬÙĤ":132745,"ÑĮÑĤе":132746,"miÅŁti":132747,"ÙĤÙĬادة":132748,"ãĤıãģĭãĤĬ":132749,"มาà¸Īาà¸ģ":132750,"ëħĢ":132751,"ãģ«éĸ¢ãģĻãĤĭ":132752,"×IJר×Ĵ×ķף":132753,"mètre":132754,"Ġעצ×ŀ×Ļ":132755,"ĠChúa":132756,"รูà¹īà¸Ī":132757,"รูà¹īà¸Īัà¸ģ":132758,"ì£Ħ":132759,"ëĭµ":132760,"à¹ģà¸Ĺà¹ī":132761,"Ġgeçen":132762,"Ġlança":132763,"ĠاÙĦبØŃØ«":132764,"×ĵ×ŀ×ķ":132765,"ãģ¯ãģĺ":132766,"ãģ¯ãģĺãĤģ":132767,"ĠdönÃ¼ÅŁ":132768,"è¿ijãģı":132769,"à¹Ģสม":132770,"à¹Ģสมà¸Ń":132771,"ëĿ½":132772,"Ġüç":132773,"á»ŀ":132774,"ÑĪаÑı":132775,"à¸Ĺร":132776,"ØŃÙĤÙĬÙĤØ©":132777,"à¸Ĥà¸Ńà¸ĩà¸ģาร":132778,"Ġ무ìĹĩ":132779,"Ġ×Ķ׼ר":132780,"ĠاÙĦصÙĬÙĨ":132781,"ĠлÑİди":132782,"à¸ķาย":132783,"بÙĪÙĦ":132784,"Ġviêm":132785,"Ġthiá»ĩu":132786,"à¸ģà¸Ķ":132787,"Ġ׾×ĵ×ijר":132788,"פ׳×Ķ":132789,"×IJר×ij×¢":132790,"سÙī":132791,"ĠاÙĦسÙĬاس":132792,"ĠاÙĦسÙĬاسÙĬØ©":132793,"ydı":132794,"ÙĪØŃدة":132795,"ĠдеÑıÑĤелÑĮноÑģÑĤи":132796,"Ġ×ķ×Ķ×ŀ":132797,"пеÑĩ":132798,"пеÑĩаÑĤ":132799,"иÑĢованиÑı":132800,"ĠÑģог":132801,"ĠÑģоглаÑģ":132802,"Ġ׼×ĵ":132803,"Ġ׼×ĵ×IJ×Ļ":132804,"ĠиÑģполÑĮзоваÑĤÑĮ":132805,"ספ×ķר×ĺ":132806,"Ġilçe":132807,"expérience":132808,"ĠThá»Ŀi":132809,"Ä°K":132810,"à¹Ħà¸Łà¸Łà¹īา":132811,"ëĵ¤ìĹIJê²Į":132812,"à¸Ľà¸£à¸°à¹Ģà¸ł":132813,"à¸Ľà¸£à¸°à¹Ģà¸łà¸Ĺ":132814,"Ġmümk":132815,"Ġmümkün":132816,"Ġ×IJ×ķ×ª×ł×ķ":132817,"ìĦ±ìĿĦ":132818,"ĠìĿ´ìľł":132819,"زÙĬارة":132820,"Ġoldukça":132821,"rób":132822,"ĠØ£ÙĨا":132823,"Ġ×Ķ×ij×Ļ":132824,"Ñģен":132825,"×¢×Ļקר":132826,"×Ļ×ĵ×ķ×¢":132827,"dzÄħ":132828,"ÙħعÙĦÙĪÙħات":132829,"شاب":132830,"Ġparça":132831,"à¸Ļะà¸Ħะ":132832,"باس":132833,"ĠÑĤоÑĢг":132834,"ĠÑĤоÑĢгов":132835,"Ġ×Ĺ×ĵר":132836,"׼ר×ĺ":132837,"׼ר×ĺ×Ļס":132838,"ĠAyrıca":132839,"ệ":132840,"ìľ¨":132841,"ĠÑĤакие":132842,"Ġ×ŀצ×ķ×Ļ":132843,"ãĥ©ãĥ³ãĤŃãĥ³ãĤ°":132844,"ש×Ļ×ķ×ķק":132845,"åīįãģ®":132846,"ĠBảo":132847,"ÑīÑĥ":132848,"æĹ©ãģı":132849,"ĠPhòng":132850,"à¸ŀระราà¸Ĭ":132851,"פ×Ĺ×ķת":132852,"Ġгл":132853,"Ġглаз":132854,"à¸Ĺà¹Īา":132855,"Ġdạy":132856,"ÑĢоÑģÑĤ":132857,"à¹Ĥà¸Ķยà¹Ģà¸īà¸ŀาะ":132858,"ĠquáºŃn":132859,"Ġ×Ĺ×ijר×ķת":132860,"même":132861,"mÄ±ÅŁtı":132862,"ĠاÙĦتداÙĪÙĦ":132863,"Ġnạn":132864,"Ġ×Ķ×ĵ×Ļ":132865,"ĠاÙĦطرÙĬÙĤ":132866,"×Ĵ×ķת":132867,"Ġ×Ķ×ĵר×ļ":132868,"ujÄħce":132869,"Ġchữ":132870,"ãĤĤãģ®ãģ®":132871,"ë°Ľ":132872,"ãģķãĤĵãģ¯":132873,"Ġyardım":132874,"ĠاÙĦعÙħ":132875,"Ġì§Ħíĸī":132876,"Ġ×Ļ×Ĺ":132877,"Ġ×Ļ×Ĺס×Ļ":132878,"ĠاÙĦÙħدÙĬÙĨØ©":132879,"Ġcú":132880,"à¸ģีฬ":132881,"à¸ģีฬา":132882,"Ġniên":132883,"misión":132884,"׳×Ļס×Ļ":132885,"׳×Ļס×Ļ×ķף":132886,"ĠвозÑĢаÑģÑĤ":132887,"Ġ×¢×ķש×Ķ":132888,"ĠÙħدÙĬر":132889,"ÑıÑģÑĮ":132890,"ØŃجÙħ":132891,"íĻĺê²½":132892,"ĠاÙĦأخرÙī":132893,"uÃŁer":132894,"ĠاÙĦعاÙĦÙħÙĬØ©":132895,"ĠNgá»įc":132896,"êµIJíļĮ":132897,"ä¸Ĭãģ§":132898,"×Ļ×Ķ×ķ×ĵ":132899,"×Ļ×Ķ×ķ×ĵ×Ļ×Ŀ":132900,"Ùħساعدة":132901,"ĠжизнÑĮ":132902,"ĠпоÑĤомÑĥ":132903,"ĠاÙĦÙħÙħÙĦ":132904,"ĠاÙĦÙħÙħÙĦÙĥØ©":132905,"ĠGör":132906,"رÙIJ":132907,"×ŀק×ķ×ŀ×ķת":132908,"åĩºæĿ¥ãĤĭ":132909,"ÑĦÑĤ":132910,"ĠìĿ´ìłľ":132911,"ĠÑĢем":132912,"ĠÑĢемонÑĤ":132913,"ת×ķ×ļ":132914,"æĻĤãģ¯":132915,"ãĤīãĤĮãģªãģĦ":132916,"altı":132917,"家ãģ®":132918,"ĠاÙĦإعÙĦاÙħ":132919,"리ëĬĶ":132920,"ãģĭãĤīãģ¯":132921,"ĠHạ":132922,"ãģĤãģ®":132923,"×ĵ×Ļ×ķף":132924,"رÙĬس":132925,"ĠsocietÃł":132926,"ĠاÙĦÙĥبÙĬر":132927,"Ġ×ij×ŀס":132928,"Ġ×ij×ŀס×Ĵר":132929,"Ġ×ij×ŀס×Ĵרת":132930,"ĠìŀĪìľ¼ë©°":132931,"Ġnặng":132932,"ÙĩÙī":132933,"ĠBÃł":132934,"×ŀר×ķ":132935,"ĠjÄĻ":132936,"ĠjÄĻzy":132937,"ĠjÄĻzyk":132938,"Ġ׼×ŀ×ķ×ijף":132939,"×¢×ľ×Ķ":132940,"à¸Ĺีà¹Īà¹Ħà¸Ķà¹ī":132941,"ãģ¾ãģĹãĤĩãģĨ":132942,"×ŀספר":132943,"ТÐŀ":132944,"سÙĬاسة":132945,"ĠкаждÑĭй":132946,"ë²ł":132947,"tım":132948,"yá»ĩn":132949,"รีà¹Ī":132950,"ĠдеÑĤÑģк":132951,"วิà¸ĺีà¸ģาร":132952,"mówi":132953,"×ĺ×¢×Ŀ":132954,"×Ķצ׾×Ĺ×Ķ":132955,"ضÙĬÙģ":132956,"ĠÑħоÑĤÑı":132957,"ãĤĵãģ§ãģĦãĤĭ":132958,"à¸Ħาà¸Ķ":132959,"à¸Ħรà¸ļ":132960,"ĠкÑĥÑĢÑģ":132961,"ĠbaÅŁarı":132962,"×ijר×ķ":132963,"ÙĬعة":132964,"ĠÐĿÑĥ":132965,"à¸Ħวามà¹Ģà¸Ľà¹ĩà¸Ļ":132966,"Ġ׾×ŀש׾":132967,"Ġì¢ĭìĿĢ":132968,"Ùħؤسس":132969,"Ùħؤسسات":132970,"Ġprécis":132971,"Ġthảo":132972,"à¸ģà¹ĩà¸Ħืà¸Ń":132973,"Ġש׼׾":132974,"führung":132975,"ãģĦãģ§":132976,"à¹ģละมี":132977,"à¸ģà¹ĩมี":132978,"Ġשש":132979,"мел":132980,"Ġкниг":132981,"ĠباÙĦÙĨ":132982,"ĠباÙĦÙĨسبة":132983,"Ġaldı":132984,"ÑĤай":132985,"Ġ×Ĺ×ĵש×Ļ×Ŀ":132986,"å®Łãģ¯":132987,"عÙĪا":132988,"ĠìĿĺ미":132989,"изм":132990,"ÑĢабоÑĤаÑĤÑĮ":132991,"Ùģص":132992,"Ġ×ij׳×ķסף":132993,"ãģ¨ãģĹãģ¦ãĤĤ":132994,"à¹Ģà¸Ľà¹ĩà¸Ļà¸Ĺีà¹Ī":132995,"ĠÑģледÑĥеÑĤ":132996,"èĢĥãģĪãģ¦":132997,"Ġ׼×Ļ×ķ×Ŀ":132998,"ÑģÑĤÑĭ":132999,"׼׾׼׾×Ļ":133000,"æµģãĤĮ":133001,"ãĤĴãģ¤ãģij":133002,"ÑĩаÑĤ":133003,"×Ļ׼×ķף":133004,"×Ļר×Ļ":133005,"larıyla":133006,"ãĤ¤ãĥ¡":133007,"ãĤ¤ãĥ¡ãĥ¼ãĤ¸":133008,"׳×ĸק":133009,"Ġciò":133010,"Ġsın":133011,"Ġsınır":133012,"à¸Ļà¸Ħร":133013,"каÑĤ":133014,"Ġlá»Ĺi":133015,"ëŀĮ":133016,"تÙģاص":133017,"تÙģاصÙĬÙĦ":133018,"ëĨĵ":133019,"ĠÙħض":133020,"ilmiÅŁ":133021,"بارÙĥ":133022,"ÐĿÐĺ":133023,"Ġthẩm":133024,"Ġ×IJ×ķת×ļ":133025,"ĠпÑĢиним":133026,"ĠпÑĢинима":133027,"Ġyönt":133028,"Ġyöntem":133029,"Ġ×ŀק×ij׾":133030,"Ġktórego":133031,"ê·Ģ":133032,"شرÙģ":133033,"داÙħ":133034,"ãģĦãĤįãģĦãĤį":133035,"ĠAlém":133036,"Ġgörü":133037,"Ġgörünt":133038,"Ġgörüntü":133039,"دس":133040,"ÑĪки":133041,"гÑĢад":133042,"Ġlạc":133043,"Ġsữa":133044,"ãĤīãĤĮãģ¾ãģĻ":133045,"oÃłi":133046,"Ñīен":133047,"ãģĭãģªãģĦ":133048,"Ġпоп":133049,"ĠпопÑĥ":133050,"ĠпопÑĥлÑıÑĢ":133051,"ĠاÙĦÙħÙĪÙĤع":133052,"räg":133053,"Ａ":133054,"íķĦ":133055,"ãĤĴè¦ĭãĤĭ":133056,"اÙħا":133057,"ĠاÙĦØŃرب":133058,"ĠÐŁÐ°":133059,"Ġ׾×IJתר":133060,"Ġtá»ijc":133061,"×ij׾×Ķ":133062,"رئÙĬس":133063,"вÑĥ":133064,"ÙĬدÙĬ":133065,"казан":133066,"Ġ×Ĺש×ij×ķף":133067,"hôtel":133068,"×¢×ķ׳×Ķ":133069,"بÙĨÙĬ":133070,"×ŀ×ķ׾":133071,"ĠднÑı":133072,"éĽ£ãģĹãģĦ":133073,"ведениÑı":133074,"Ġ×ķ×ŀת":133075,"напÑĢимеÑĢ":133076,"ÙĤابÙĦ":133077,"Ġrésultat":133078,"ĠÑĢазвиÑĤиÑı":133079,"رÙij":133080,"ìłĦ문":133081,"ĠاÙĦÙħزÙĬد":133082,"ĠìľĦíķ´ìĦľ":133083,"ëĨį":133084,"íĻķ":133085,"ĠThiết":133086,"íĮ¨":133087,"malıdır":133088,"ĠczÅĤ":133089,"ĠczÅĤowie":133090,"ĠczÅĤowiek":133091,"ĠÙĦبÙĨ":133092,"ĠÙĦبÙĨاÙĨ":133093,"üsü":133094,"ãģªãĤĵãģł":133095,"Ġżycie":133096,"ĠÑħоÑĢоÑĪо":133097,"æĸ¹ãģ«":133098,"ëĭ¤ë©´":133099,"иÑĩеÑģкаÑı":133100,"ער×Ļ׼":133101,"ער×Ļ×Ľ×ª":133102,"ãģ¾ãģĽãĤĵãģ§ãģĹãģŁ":133103,"ĠÑģобой":133104,"Ġgá»Ĺ":133105,"ĠделаÑĤÑĮ":133106,"daÄĩ":133107,"аÑĢа":133108,"różni":133109,"à¹Ģลีà¹ī":133110,"à¹Ģลีà¹īย":133111,"à¹Ģลีà¹īยà¸ĩ":133112,"à¸Ŀาà¸ģ":133113,"ĠتÙĤ":133114,"ĠتÙĤدÙĬ":133115,"ĠتÙĤدÙĬÙħ":133116,"หà¸Ļุà¹Īม":133117,"Ġmücade":133118,"Ġmücadele":133119,"ì§Ģ를":133120,"ãĤ¤ãĤ¹":133121,"Ġأساس":133122,"jÄħcego":133123,"ĠÅŁeh":133124,"нÑĤеÑĢ":133125,"ÑĨиÑİ":133126,"ï»»":133127,"ÑİÑīего":133128,"à¹Ĥà¸Ľà¸£à¹ģ":133129,"à¹Ĥà¸Ľà¸£à¹ģà¸ģรม":133130,"ĠmieÄĩ":133131,"ØŃÙĥÙĪÙħØ©":133132,"ãģ§ãģĹãģŁãģĮ":133133,"×Ļס×Ķ":133134,"ãĤĤãģ®ãĤĴ":133135,"Ġ×ŀ×IJת":133136,"สุà¸Ķà¸Ĺà¹īาย":133137,"ĠcÅ©":133138,"ÙĨسب":133139,"ĠпÑĢоÑĩ":133140,"Ġдней":133141,"ĠÑįÑĤиÑħ":133142,"׾×ŀת":133143,"нÑıÑı":133144,"Ñįк":133145,"Ġì§ĢëĤľ":133146,"มหาวิà¸Ĺยา":133147,"มหาวิà¸Ĺยาล":133148,"มหาวิà¸Ĺยาลัย":133149,"dão":133150,"ĠMáy":133151,"ĠêµŃê°Ģ":133152,"à¸ļุรี":133153,"×Ĵ×Ļ׾":133154,"ĠÑĤÑĭÑģÑı":133155,"ĠÑĤÑĭÑģÑıÑĩ":133156,"ÙģÙĥ":133157,"ĠÐĺÑģ":133158,"è¡ĮãĤıãĤĮ":133159,"פר×ĵ":133160,"ãģ¤ãģį":133161,"à¸Ħรà¸Ńà¸ļ":133162,"à¸Ħรà¸Ńà¸ļà¸Ħรัว":133163,"à¸Ĥึà¹īà¸Ļมา":133164,"ä»ĬæĹ¥ãģ¯":133165,"ĠìĤ¬ëŀĮìĿ´":133166,"עצ×ŀ×Ķ":133167,"поÑĢ":133168,"ĠKỳ":133169,"ĠÆ¡n":133170,"ĠthÄĥm":133171,"ÙģاÙĤ":133172,"ãģļãģ«":133173,"Ġ׾קר":133174,"Ġ׾קר×ķ×IJ":133175,"اÙģÙĬØ©":133176,"ÙħÙİا":133177,"гаÑĢ":133178,"صÙĦا":133179,"صÙĦاة":133180,"Ġ×ŀ×ĸ×Ķ":133181,"lıģını":133182,"Ġ×IJ×Ļ׳×Ķ":133183,"кÑĢо":133184,"ĠngÆ°Æ¡i":133185,"Ġвним":133186,"Ġвнимание":133187,"jÄħcy":133188,"ÙĢÙĢÙĢÙĢÙĢ":133189,"ÑģÑħод":133190,"ãģªãĤĵãģĭ":133191,"×ŀ×Ļ׾":133192,"Ġ×Ķ×IJ×Ĺ":133193,"ãĤıãģªãģĦ":133194,"عسÙĥر":133195,"ĠìĦ¸ê³Ħ":133196,"ĠÑĩего":133197,"ĠÑģÑĢедÑģÑĤва":133198,"ĠÐłÐ°Ñģ":133199,"ãģªãģģ":133200,"ÙĨÙģس":133201,"ר×Ļ×ķף":133202,"ÑģÑĥд":133203,"ĠìĿ¸ê°Ħ":133204,"ĠاÙĦÙħÙĤبÙĦ":133205,"ÙĨعÙħ":133206,"تÙĪÙģر":133207,"ש×ij×¢":133208,"ılm":133209,"ılmÄ±ÅŁ":133210,"Ġ×ľ×ª×ª":133211,"تصÙģ":133212,"×Ķפ×ķ×ļ":133213,"à¹ĥà¸Ļà¸Ľà¸µ":133214,"ìĿ´ê³ł":133215,"ÙģÙĪز":133216,"à¸ľà¸¥à¸ĩาà¸Ļ":133217,"ĠGiáo":133218,"à¸ļà¸Ńà¸ģวà¹Īา":133219,"ĠdÄ±ÅŁ":133220,"ĠdÄ±ÅŁÄ±nda":133221,"죽":133222,"ĠdzieÅĦ":133223,"кÑĨии":133224,"иÑĨе":133225,"ãģ®ä¸Ģ":133226,"عش":133227,"пÑĢеÑģÑģ":133228,"หà¸Ļà¹Īà¸Ńย":133229,"ลัà¸ģษà¸ĵะ":133230,"ĠpossibilitÃł":133231,"à¹Ħà¸Ķà¹īรัà¸ļà¸ģาร":133232,"หยุà¸Ķ":133233,"Ġphiên":133234,"çĶŁãģ¾ãĤĮ":133235,"Ø·ÙĪÙĦ":133236,"ÑĦин":133237,"für":133238,"ØŃÙĬاة":133239,"íĸĪìĬµëĭĪëĭ¤":133240,"׼׳×ķת":133241,"à¸Ľà¸£à¸°à¸ª":133242,"à¸Ľà¸£à¸°à¸ªà¸ļ":133243,"à¸Ľà¸£à¸°à¸ªà¸ļà¸ģารà¸ĵà¹Į":133244,"ëIJĺìĹĪ":133245,"Ġkażdy":133246,"Ġluyá»ĩn":133247,"ĠоÑĢганизаÑĨии":133248,"å°ijãģªãģı":133249,"ÑģÑĤÑĢоен":133250,"Ġtécnico":133251,"ק×Ķ׾":133252,"Ġ×ķ×IJ×Ĺ":133253,"ĠعÙĦÙĬÙĥ":133254,"Ñīение":133255,"Ġ×Ķ×Ļ׾×ĵ×Ļ×Ŀ":133256,"ÙĪسائÙĦ":133257,"Ġ×ķ×Ķת":133258,"تÙħÙĬز":133259,"ĠÑģказал":133260,"Ġполи":133261,"Ġ×Ķ×ŀס":133262,"ÙĦÙijÙİ":133263,"Ùħؤسسة":133264,"Ġ×ŀ×Ļ×ĵ":133265,"ãģ£ãģ¡":133266,"ĠëĦĪ무":133267,"à¸ŀี":133268,"Ġtặng":133269,"Ġtấn":133270,"רש×Ŀ":133271,"Ġmédica":133272,"Ġ×¢×ķ×ŀ":133273,"Ġ×¢×ķ×ŀ×ĵ":133274,"ÑĦоÑĢ":133275,"Ùħرة":133276,"Ġvatanda":133277,"ĠvatandaÅŁ":133278,"Ġдело":133279,"à¸Ļม":133280,"ãģ¨åIJĮãģĺ":133281,"ÙģÙī":133282,"ÑģоÑĢ":133283,"Ġ×Ķסר×ĺ":133284,"Ġépoca":133285,"ìłķì±ħ":133286,"ĠÑģвÑıзан":133287,"ضرب":133288,"ĠÙĦÙĨا":133289,"Ġużywa":133290,"ĠاÙĦجÙĬØ´":133291,"ÑİÑĢ":133292,"×ijס×ķ×£":133293,"ĠмÑĥ":133294,"ĠмÑĥзÑĭк":133295,"bilité":133296,"Ġmaç":133297,"سÙİ":133298,"تÙĦÙĥ":133299,"ãģ¬":133300,"ÙĬÙĦا":133301,"ÑĪла":133302,"ÙĢÙĢÙĢ":133303,"Ġодной":133304,"зван":133305,"ĠÑģÑĢаз":133306,"ĠÑģÑĢазÑĥ":133307,"ÙĨظÙħ":133308,"راÙĩ":133309,"ĠÙĦÙĩذا":133310,"׼×ķר":133311,"Ġ×Ķש×ij×ķ×¢":133312,"Ġ×Ķשת":133313,"ĠQuảng":133314,"ãĥ«ãĥ¼":133315,"ãģĪãģªãģĦ":133316,"×ĺ×IJ":133317,"Ġmiá»ģn":133318,"ĠPháºŃt":133319,"ĠاÙĦسÙĪÙĤ":133320,"ÄĤ":133321,"ĠاÙĦجÙħع":133322,"ĠاÙĦجÙħعة":133323,"ÑİÑīей":133324,"aÅĤem":133325,"عتÙĤد":133326,"Ø£ÙĦÙħ":133327,"Ñģке":133328,"ĠìĿ´íķ´":133329,"ÙĨسخ":133330,"è¨ĢãģĦ":133331,"добав":133332,"سبÙĤ":133333,"×¢×ķרר":133334,"ÑĤип":133335,"ãģĿãģĵãģ§":133336,"visión":133337,"عÙĪدة":133338,"먹":133339,"×ŀ×ĸר×Ĺ":133340,"ĠØ¥ØŃ":133341,"Ġ׾×ij×Ļף":133342,"Ġ׾צ×IJת":133343,"Ġyardı":133344,"Ġyardımc":133345,"Ġyardımcı":133346,"Ä°Z":133347,"קפ×Ķ":133348,"tré":133349,"liÄŁini":133350,"клÑİÑĩа":133351,"Ġüretim":133352,"Ġayrı":133353,"ĠkiÅŁiler":133354,"à¸Ħà¹īà¸Ļ":133355,"à¸Ħà¹īà¸Ļหา":133356,"ĠSá»±":133357,"Ġ×Ľ×¡":133358,"Ġ×Ľ×¡×£":133359,"ĠÑĤакиÑħ":133360,"ĠXuân":133361,"Ġлег":133362,"Ġлегко":133363,"Ø«ÙĤاÙģØ©":133364,"ÐĿÐŀ":133365,"ãĤ¹ãĤ¿ãĥĥ":133366,"ãĤ¹ãĤ¿ãĥĥãĥķ":133367,"åIJĪãģĦ":133368,"Ġ×Ķש×Ļ×ŀ×ķש":133369,"manız":133370,"ĠÐĴаÑģ":133371,"gün":133372,"ìľĦìĽIJíļĮ":133373,"Ġwspóln":133374,"ĠÑģвое":133375,"íĥģ":133376,"à¹Ģà¸Ļีย":133377,"ÙĪبة":133378,"вÑıз":133379,"ıdır":133380,"ëIJĺìĹĪëĭ¤":133381,"ĠdeÄŁiÅŁtir":133382,"ãĤĭãģĵãģ¨ãģĮ":133383,"Ġ×Ĺ×ĵש×Ķ":133384,"ãĤīãĤĮãģ¦ãģĦãĤĭ":133385,"×Ĺ×Ļ×Ļ×ij":133386,"ĠÐļаÑĢ":133387,"׳×Ļת×ķ×Ĺ":133388,"Ġק×ĺף":133389,"ר×ĸ":133390,"ÙĪغ":133391,"èªŃãģ¿":133392,"ĠتÙĤÙĪÙħ":133393,"ĠÙĥاÙĦ":133394,"à¸Ŀึà¸ģ":133395,"Ġë°ľìĥĿ":133396,"ológico":133397,"راع":133398,"à¹ģà¸ģà¹īà¹Ħà¸Ĥ":133399,"ĠÑĢабоÑĤÑĥ":133400,"ÙĨÙijÙİ":133401,"à¸Ńยูà¹Īà¸Ĺีà¹Ī":133402,"ĠاÙĦثاÙĨÙĬØ©":133403,"ĠNhân":133404,"ÑħваÑĤ":133405,"öne":133406,"Ġعدة":133407,"à¹ģสà¸ĩ":133408,"ÑĤоп":133409,"пÑĥÑģка":133410,"شراء":133411,"ĠÐļом":133412,"Ġפע×ķ׾×Ķ":133413,"ìĤ¬ìĿ´":133414,"ìĤ¬ìĿ´íĬ¸":133415,"è¡Įãģ£ãģ¦":133416,"Ġ×Ķ×Ķת":133417,"ĠÑģÑĤоÑĢо":133418,"ĠÑģÑĤоÑĢонÑĭ":133419,"درس":133420,"à¸ĭู":133421,"à¸ķà¹Īำ":133422,"ĠأبÙĬ":133423,"подоб":133424,"ãģ«ãģ¦":133425,"ارتÙģاع":133426,"ĠÙħؤ":133427,"иков":133428,"geführt":133429,"มืà¸Ńà¸ĸืà¸Ń":133430,"ĠÙĦÙĤد":133431,"ĠØ£ÙĨÙij":133432,"سÙĬطر":133433,"ãģ¾ãģļãģ¯":133434,"ס×ĵ":133435,"ÑģколÑĮко":133436,"ãģ¿ãģŁãģĦãģª":133437,"×ĵר×Ĵ":133438,"×¢×Ļ×ĵ":133439,"à¹ĥหà¹īà¸ļริà¸ģาร":133440,"ĠÐĶи":133441,"×ij×¢×Ļ×ķת":133442,"Ġ×Ķ×Ĺ×ķ":133443,"пиÑģÑĮ":133444,"ĠاÙĦØ®ÙĦ":133445,"бав":133446,"ĠÄ°lk":133447,"ĠاÙĦØ®Ùħ":133448,"ĠاÙĦØ®ÙħÙĬس":133449,"ĠÙĬÙĤÙĪÙħ":133450,"æĻĤãģ®":133451,"ĠsÅĤow":133452,"ĠØ£ÙĩÙħ":133453,"Ø®ÙĦÙĤ":133454,"ĠأصبØŃ":133455,"Ġchứa":133456,"Ġthác":133457,"ÙģاÙĦ":133458,"Ġchá»Ŀ":133459,"ĠاÙĦخار":133460,"ĠاÙĦخارج":133461,"ĠاÙĦخارجÙĬØ©":133462,"طائر":133463,"ĠtÃł":133464,"ĠtÃłu":133465,"à¸ģลà¹īà¸Ńà¸ĩ":133466,"ĠاÙĦÙħرأ":133467,"ĠاÙĦÙħرأة":133468,"åħ¨ãģı":133469,"ĠÃĸn":133470,"çļĦãģ«ãģ¯":133471,"Ġpièce":133472,"×Ĵ×Ļ×ij":133473,"ĠاÙĦÙĪاÙĤع":133474,"ä»Ĭãģ®":133475,"ĠاÙĦÙħÙĤ":133476,"cznÄħ":133477,"ÙģعاÙĦ":133478,"енного":133479,"ĠÑĦакÑĤ":133480,"ìĭłì²Ń":133481,"ĠÐŀни":133482,"ĠاÙĦبÙĦاد":133483,"овиÑĩ":133484,"ëıĮ":133485,"ÑĦÑĥнкÑĨи":133486,"Ġìĸ´ëĬIJ":133487,"ãĥķãĤ©ãĥ¼":133488,"dÃŃ":133489,"илоÑģÑĮ":133490,"ÙħÙī":133491,"ĠاÙĦØ£ÙħرÙĬÙĥ":133492,"ĠاÙĦØ£ÙħرÙĬÙĥÙĬØ©":133493,"×ĺ×Ļפ×ķ׾":133494,"íĶĦë¡ľê·¸":133495,"íĶĦë¡ľê·¸ëŀ¨":133496,"Ġש×ķ׳×ķת":133497,"Ø´ÙħÙĦ":133498,"ĠпаÑĢа":133499,"Ġ×Ķ×Ĺ×ķק":133500,"ÙĪزارة":133501,"ãģ¨ãģĻãĤĭ":133502,"Ġquảng":133503,"Ġaģır":133504,"ĠاÙĦÙĦج":133505,"ĠاÙĦÙĦجÙĨØ©":133506,"긴":133507,"ĠTân":133508,"جÙħÙĦ":133509,"дол":133510,"à¹ģà¸ŀà¸Ĺย":133511,"à¹ģà¸ŀà¸Ĺยà¹Į":133512,"Ġר×IJש×Ļ":133513,"Ñīей":133514,"Ġçevre":133515,"ĠкомплекÑģ":133516,"Ġ×ij×ŀש×ļ":133517,"Ġaltın":133518,"ĠأعÙħاÙĦ":133519,"ĠÑģвоего":133520,"ãĤĪãģĦ":133521,"×Ĺ׾×Ļ×ĺ":133522,"×ŀ×ł×¢":133523,"Ġר×ij×Ķ":133524,"ĠØ£ÙĬضاÙĭ":133525,"×ĸ׾":133526,"ĠاÙĦسÙĬاسÙĬ":133527,"æĢĿãģĨ":133528,"קרק":133529,"קרקע":133530,"ĠاÙĦÙģرÙĬÙĤ":133531,"биÑĤ":133532,"ק׳×Ķ":133533,"ĠØ¥ÙĨÙĩ":133534,"ĠÐĴам":133535,"ÐłÐŀ":133536,"ãĥĪãĥª":133537,"å¿ħè¦ģãģª":133538,"Ġchâu":133539,"ç¶ļãģij":133540,"Ġçözüm":133541,"gÅĤow":133542,"عÙĤÙĦ":133543,"売ãĤĭ":133544,"iết":133545,"à¸Ĭิà¹īà¸Ļ":133546,"ĠØŃÙĤÙĪÙĤ":133547,"Ø·ÙĦع":133548,"ĠÄijen":133549,"ĠÙĥاÙģØ©":133550,"ãģ®ãģĶ":133551,"Ġë¬":133552,"Ġ물":133553,"Ġë¬¼ë¡ł":133554,"ĠرسÙĪÙĦ":133555,"зам":133556,"замен":133557,"Ġkullanıcı":133558,"×¢×ķ׾":133559,"èī²ãĢħ":133560,"ÑĪиÑĢ":133561,"Ġ×Ĺש":133562,"Ġwygl":133563,"ĠwyglÄħda":133564,"ש×Ļ×ŀ×ķש":133565,"å¿ĺãĤĮ":133566,"×¢×Ļצ×ķ×ij":133567,"ĠاÙĦسÙĪرÙĬ":133568,"å°ijãģªãģĦ":133569,"ĠпоиÑģк":133570,"สำà¸Ļัà¸ģà¸ĩาà¸Ļ":133571,"Ġ×ŀצ×ĵ":133572,"ĠmÃ¼ÅŁ":133573,"ĠmÃ¼ÅŁter":133574,"ĠmÃ¼ÅŁteri":133575,"ĠÙħÙĨÙĩÙħ":133576,"à¸ķำà¹ģ":133577,"à¸ķำà¹ģหà¸Ļ":133578,"à¸ķำà¹ģหà¸Ļà¹Īà¸ĩ":133579,"ÅĽmie":133580,"Ġ×©×ł×ª":133581,"Ġ×Ķפ×Ļ":133582,"פרש":133583,"×¢×ijר×Ļת":133584,"สà¸Ļัà¸ļ":133585,"สà¸Ļัà¸ļสà¸Ļุ":133586,"สà¸Ļัà¸ļสà¸Ļุà¸Ļ":133587,"è¨Ģãģ£ãģ¦":133588,"à¸ģารà¸Īัà¸Ķ":133589,"ĠMoże":133590,"изаÑĨии":133591,"ứt":133592,"ĠÙĪبعد":133593,"ĠdeÄŁild":133594,"ĠdeÄŁildir":133595,"Ġת×ŀ":133596,"Ġ×ŀ×ŀ׳×ķ":133597,"話ãĤĴ":133598,"ĠÑĨена":133599,"Ġthúc":133600,"×Ļ×ŀ×ķף":133601,"ĠBáo":133602,"ãĤĴåıĸãĤĬ":133603,"å®īãģĦ":133604,"Ġ×¢×ķש×Ļ×Ŀ":133605,"èĩªåĪĨãģĮ":133606,"lée":133607,"ãĤĭãģ®ãģ§":133608,"иÑĢÑĥеÑĤ":133609,"ãģ¦ãĤĭ":133610,"ستر":133611,"ĠاÙĦØŃÙĬ":133612,"×Ļ׾×ķת":133613,"Ġ×Ĺ×ij":133614,"ÙĤرأ":133615,"تÙħÙĥÙĨ":133616,"سائÙĦ":133617,"prüf":133618,"ãģĭãģijãģ¦":133619,"ĠÑģобÑģÑĤвенно":133620,"ĠìľĦíķĺìŬ":133621,"׾×Ļ×ĺ":133622,"ãģĮå¤ļãģı":133623,"ÙĬتÙĩا":133624,"ç«ĭãģ¦":133625,"มà¸Ńà¸ļ":133626,"ìĭľìŀ¥":133627,"оÑĢа":133628,"ĠsavaÅŁ":133629,"×ĺ×Ļ×ij×Ļ":133630,"×ij׳×ķ":133631,"Ùħاذا":133632,"기ê°Ħ":133633,"ãģªãģ©ãģ§":133634,"Ġ×ŀת×Ĺ×Ļ׾":133635,"Ġnhiá»ħ":133636,"Ġnhiá»ħm":133637,"каÑĢ":133638,"каÑĢÑĤ":133639,"Ġ׾×Ķשת×ŀש":133640,"׳×Ļ×Ĺ":133641,"ادÙĬØ©":133642,"รายà¸ĩาà¸Ļ":133643,"ĠprzykÅĤad":133644,"Ñīий":133645,"ØŃضÙĪر":133646,"Ġhôn":133647,"ÃĿ":133648,"ת×ķצ×IJ×ķת":133649,"رابط":133650,"Ġbếp":133651,"ĠполÑĥÑĩи":133652,"åĩºä¼ļãģĦç³»":133653,"à¸Ľà¸¥à¹Īà¸Ńย":133654,"ĠاÙĦشباب":133655,"اÙĩÙĦ":133656,"ä»Ĭãģ¾ãģ§":133657,"رجع":133658,"ãĤ¶ãĥ¼":133659,"ÙĤÙģ":133660,"ĠGroÃŁ":133661,"ĠíļĮìĽIJ":133662,"اجر":133663,"Ġ×ij×ŀקר×Ķ":133664,"Ġsegurança":133665,"fühl":133666,"ãģ¦ãģĦãģı":133667,"หมà¸Ń":133668,"ĠкоÑĤоÑĢом":133669,"ĠNÄĥm":133670,"ĠdÅĤugo":133671,"ÙħÙĨØŃ":133672,"ש×ķ×ķ×Ļ":133673,"ĠØ£ÙĬاÙħ":133674,"à¸ªà¸łà¸²à¸ŀ":133675,"rzÄħ":133676,"شرÙĥات":133677,"ãĤĴèĢĥãģĪ":133678,"даÑĢ":133679,"à¸Ľà¸£à¸°à¸Ĭุม":133680,"Ġ×ķ×IJ×ĸ":133681,"iá»ĩn":133682,"ĠtÆ°Æ¡i":133683,"ש×Ļ×Ĺ":133684,"à¸Ńà¹Īà¸Ńà¸Ļ":133685,"æĽ¸ãģĦãģ¦":133686,"Ġngữ":133687,"×ij×Ļ×ĺ×Ĺ":133688,"×ij×Ļ×ĺ×Ĺ×ķף":133689,"Ġsẵ":133690,"Ġsẵn":133691,"ì§ĢëıĦ":133692,"ĠпÑĢеп":133693,"ĠпÑĢепаÑĢаÑĤ":133694,"ĠнаÑĥÑĩ":133695,"ĠÃľnivers":133696,"ĠÃľniversites":133697,"ĠÃľniversitesi":133698,"Ġ×Ĵ×ĵ×ķ׾×Ķ":133699,"Ġ×Ķ×ł×ª":133700,"Ġ×Ķ×ł×ª×ij×¢":133701,"ãģ§ãģĤãģ£ãģŁ":133702,"ĠmiesiÄħ":133703,"ĠmiesiÄħc":133704,"гÑĢам":133705,"гÑĢамм":133706,"ĠبشأÙĨ":133707,"ĠÑħÑĢ":133708,"ק×Ļ×ĵ":133709,"ק×Ļ×ĵ×ķ×Ŀ":133710,"Ø´Ùĥر":133711,"Ġá»ķ":133712,"Ġá»ķn":133713,"ãģĮãģĤãģ£ãģ¦":133714,"ãģķãĤĮãģ¾ãģĻ":133715,"Ġ×Ĺ×ķ×ĵ":133716,"Ġ×Ĺ×ķ×ĵש×Ļ×Ŀ":133717,"ÙħÙĪاجÙĩ":133718,"ÙħÙĪاجÙĩØ©":133719,"أشخاص":133720,"بغ":133721,"à¹Ģรียà¸Ļรูà¹ī":133722,"ãģĹãģ¦ãģĦãģı":133723,"Ġsạn":133724,"å¿ħãģļ":133725,"׳×Ļ×Ĵ":133726,"׳×Ļ×Ĵ×ķ×ĵ":133727,"باÙĦغ":133728,"×Ĺש×ŀ":133729,"×Ĺש×ŀ׾":133730,"Ġnapraw":133731,"ĠnaprawdÄĻ":133732,"Ø´Ùĩاد":133733,"×IJ×ķ×Ķ":133734,"×IJ×ķ×Ķ×ij":133735,"иÑĨÑĭ":133736,"Ġ×Ķר׼×ij":133737,"ëŀij":133738,"Ġתע":133739,"Ġ×Ķ×Ļש":133740,"Ġ×Ķ×Ļשר×IJ":133741,"Ġ×Ķ×Ļשר×IJ׾×Ļ":133742,"Ø£ÙħÙĨ":133743,"ÑİÑīаÑı":133744,"skór":133745,"LERÄ°":133746,"Ġ×Ķ×IJ×Ĺר×ķף":133747,"×¢×ł×§":133748,"ĠÙĪÙĥÙĦ":133749,"ãģĵãģĵãģ§":133750,"Ġquán":133751,"liÄŁin":133752,"à¸ģà¸İหมาย":133753,"Ø·Ùħ":133754,"أجÙĩ":133755,"أجÙĩزة":133756,"ĠErdoÄŁan":133757,"ãģ§ãģĬ":133758,"ĠвÑĢа":133759,"ĠвÑĢаÑĩ":133760,"ĠPhó":133761,"à¸Ĭัà¹Īว":133762,"à¸Ĭัà¹Īวà¹Ĥม":133763,"à¸Ĭัà¹Īวà¹Ĥมà¸ĩ":133764,"Ġphúc":133765,"×Ļפ×ķת":133766,"×¢×Ļ×ķף":133767,"Ġdużo":133768,"ãĥģãĥ¼ãĥł":133769,"ĠÙĬÙİ":133770,"ĠзадаÑĩ":133771,"Ġ×Ĵ×ij×ķ×Ķ×Ķ":133772,"Ġ׼׼׾":133773,"ложен":133774,"état":133775,"ĠngÄĥn":133776,"èµ·ãģį":133777,"ĠTiến":133778,"صعب":133779,"Ġexperiência":133780,"Ø®Ùħ":133781,"à¸ģารà¸Ĺำà¸ĩาà¸Ļ":133782,"سÙĬد":133783,"ĠDá»±":133784,"ĠкоÑĤоÑĢого":133785,"ladıģı":133786,"Ġkhá»ķ":133787,"Ġê³ĦìĨį":133788,"Ñīик":133789,"สà¹Īวà¸Ļà¸ķัว":133790,"зоÑĢ":133791,"ÙĨÙı":133792,"Ġà¸Ķัà¸ĩ":133793,"Ġà¸Ķัà¸ĩà¸Ļัà¹īà¸Ļ":133794,"Ġcấu":133795,"ĠÄijá»ijc":133796,"оÑĦ":133797,"ĠاÙĦأعÙħاÙĦ":133798,"ãģªãģıãģ¦ãĤĤ":133799,"×ķ׼×Ļ×Ŀ":133800,"à¹ģà¸Ľ":133801,"ĠBên":133802,"ãĥ¯ãĥ³":133803,"Ġgiám":133804,"ĠÅŀu":133805,"Ġdáng":133806,"عÙĦÙĬ":133807,"à¹Ģà¸ģษ":133808,"à¹Ģà¸ģษà¸ķร":133809,"ÙĪجب":133810,"ннÑĭе":133811,"ÙĤضاء":133812,"à¸Ħวà¸ļ":133813,"à¸Ħวà¸ļà¸Ħุ":133814,"à¸Ħวà¸ļà¸Ħุม":133815,"ãģ¤ãģ¤":133816,"ĠViá»ĩc":133817,"×ŀ×ij×ĺ":133818,"ש×Ļת×ķ×£":133819,"ĠведÑĮ":133820,"kaza":133821,"kazaÅĤ":133822,"à¸ķำรวà¸Ī":133823,"ãĤ¿ãĥ«":133824,"ĠповÑĭ":133825,"ĠповÑĭÑĪен":133826,"ĠSợ":133827,"ĠìĦ¤ëªħ":133828,"ĠÃĩünkü":133829,"ìĥĿíĻľ":133830,"Ö¾":133831,"ãĤĮãģ¦ãģĦãĤĭ":133832,"Ġ×ijר×IJש":133833,"ר×ķ×Ĵ":133834,"ĠоÑĦи":133835,"ĠоÑĦиÑĨиалÑĮн":133836,"ĠÑĥÑģÑĤанов":133837,"ĠÑĥÑģÑĤановлен":133838,"ĠاÙĦÙħصر":133839,"ĠاÙĦÙħصرÙĬØ©":133840,"ĠÐŁÐ¾ÑįÑĤомÑĥ":133841,"ÙĨصÙģ":133842,"ĠÙĪاÙĦÙĨ":133843,"ĠhÃłi":133844,"à¸Ħิ":133845,"ĠAprès":133846,"ì³IJ":133847,"à¹Ģà¸ĭีย":133848,"×ĵ×ŀ×Ķ":133849,"activité":133850,"à¸Ħิà¸Ķวà¹Īา":133851,"ÑĤÑĢен":133852,"à¹Ģฮ":133853,"ãĥıãĤ¤":133854,"ãģĮå¢ĹãģĪ":133855,"еннаÑı":133856,"Ġìĺ¤ëĬĺ":133857,"ãĥ¢ãĥ³":133858,"ĠконеÑĩно":133859,"ĠÙħÙĤابÙĦ":133860,"clé":133861,"Ġhü":133862,"Ġthẳng":133863,"ìłģìĿ´":133864,"ĠÐIJлекÑģ":133865,"ĠÐIJлекÑģан":133866,"ĠÐIJлекÑģандÑĢ":133867,"ãĥŀãĥ³ãĤ·ãĥ§ãĥ³":133868,"ãģ²ãģ¨ãģ¤":133869,"ãģªãģĬ":133870,"à¹Ģà¸Īà¹īาà¸Ĥà¸Ńà¸ĩ":133871,"ëĵľë¦¬":133872,"شاء":133873,"ĠsaÄŁlık":133874,"ĠÅŁimdi":133875,"×Ļ×IJ׾":133876,"تأثÙĬر":133877,"أسب":133878,"أسباب":133879,"ĠвÑĭполнен":133880,"лок":133881,"ש×Ļ×ij×Ķ":133882,"Ġlắm":133883,"ĠTrÆ°á»Ľc":133884,"Ġ×Ķ×¢×ľ":133885,"리를":133886,"ĠÑĢеж":133887,"ĠÑĢежим":133888,"inté":133889,"intégr":133890,"×Ĵ׳×Ļ":133891,"ĠاÙĦشعر":133892,"Ġmilhões":133893,"Ġpequeño":133894,"ãĤ³ãĥ¼ãĤ¹":133895,"×ķ׼×Ĺ":133896,"à¹Ģà¸Ĭà¹īา":133897,"شرÙĤ":133898,"ĠhÆ°Æ¡ng":133899,"รัà¸IJà¸ļาล":133900,"à¸ģลาย":133901,"à¸ģลายà¹Ģà¸Ľà¹ĩà¸Ļ":133902,"ĠподÑħод":133903,"תש×ķ×ij×Ķ":133904,"ãģıãģªãģ£ãģ¦":133905,"ĠاÙĦØ£ÙħÙħ":133906,"ĠHá»įc":133907,"ĠwspóÅĤpr":133908,"ĠwspóÅĤprac":133909,"ÑĩÑĥв":133910,"ÑĩÑĥвÑģÑĤв":133911,"ÃŃstico":133912,"à¹Ģà¸ģาะ":133913,"ìĽĢ":133914,"Ġназад":133915,"ãĤĭãĤĪãģĨãģ«":133916,"ĠСШ":133917,"ĠСШÐIJ":133918,"мон":133919,"ĠAsÃŃ":133920,"×ķר×Ĵ":133921,"полнен":133922,"×ŀ×¡×ľ":133923,"×ŀ×¡×ľ×ķ׾":133924,"à¹Ģลืà¸Ńà¸Ķ":133925,"à¹Ģริà¹Īมà¸ķà¹īà¸Ļ":133926,"ĠاÙĦØ¥Ùħ":133927,"ĠاÙĦØ¥Ùħارات":133928,"צ×Ķר":133929,"ãĥ¡ãĥªãĥĥãĥĪ":133930,"ĠпоÑĤом":133931,"виз":133932,"ĠÙģترة":133933,"å¾Įãģ®":133934,"ÐĿÐIJ":133935,"×ŀסר":133936,"ÙĬرÙĬ":133937,"pré":133938,"ĠteÅŁek":133939,"ĠteÅŁekkür":133940,"Ġödeme":133941,"داÙĨ":133942,"ãģ¾ãģĹãģ¦":133943,"缮ãģ«":133944,"ĠÑĤеÑĩение":133945,"lard":133946,"lardır":133947,"à¹Ģราà¸Īะ":133948,"ספ×Ļ":133949,"ĠÙĪÙĥØ°ÙĦÙĥ":133950,"Ġhát":133951,"Ġtá»Ļc":133952,"à¸Ħุย":133953,"Ġbức":133954,"ØŃÙĬÙĨ":133955,"èģŀãģĦãģ¦":133956,"Ùħؤشر":133957,"ĠNhÆ°":133958,"Ġменее":133959,"ละà¸Ħร":133960,"Ñģин":133961,"ĠÑĢек":133962,"ĠÑĢекл":133963,"ĠÑĢеклам":133964,"ĠÙģÙĩÙĪ":133965,"Ġ׾×ĸ":133966,"×Ļ׳×ķת":133967,"ĠÅŁart":133968,"ÑģÑĤавка":133969,"Ġíı¬íķ¨":133970,"ãģ«è¡Įãģı":133971,"ï¼Ŀ":133972,"ĠпозволÑıеÑĤ":133973,"Ġת×ķ׼׾×ķ":133974,"овал":133975,"صÙĦØ©":133976,"Ġ׾ש׳×ķת":133977,"ĠÐĺгÑĢ":133978,"ÙħÙĨتجات":133979,"ĠsatÄ±ÅŁ":133980,"Ñģко":133981,"ĠاÙĦØ«ÙĦاثاء":133982,"Ġ×Ķ×ĵ×ijר×Ļ×Ŀ":133983,"ãģĹãģ¾ãģĹãĤĩãģĨ":133984,"بÙĤÙī":133985,"åĬĽãĤĴ":133986,"ĠÃĩok":133987,"ãĥģãĥ¥":133988,"à¹Ģà¸Ĭืà¹īà¸Ń":133989,"ยุà¸Ħ":133990,"ศาล":133991,"Ġק×ķ×ĵ×Ŀ":133992,"×ĸר×Ļ×Ŀ":133993,"ãģ®åł´åIJĪ":133994,"ĠìķĬìķĺ":133995,"ãģĤãĤĬãģ¾ãģĻãģĮ":133996,"×IJשר":133997,"è¡Įãģı":133998,"ãģ»ãģĭ":133999,"æ°Ĺãģ«ãģªãĤĭ":134000,"йдеÑĤ":134001,"íķĺìĺĢëĭ¤":134002,"ستÙħرار":134003,"ĠÐŁÑĢе":134004,"ĠÑģбоÑĢ":134005,"ĠìķĦ무":134006,"ç§ģãĤĤ":134007,"عص":134008,"ĠниÑĩ":134009,"ĠниÑĩего":134010,"ĠпÑĢием":134011,"ק×ķ×ŀ":134012,"ĠìĪĺëıĦ":134013,"Ġì¡´":134014,"Ġì¡´ìŀ¬":134015,"ĠأثÙĨ":134016,"ĠأثÙĨاء":134017,"ĠÙĪاÙĦØŃ":134018,"ãģĮãģ§ãģįãĤĭ":134019,"Ġת×Ķ":134020,"Ġת×Ķ×Ļ×Ķ":134021,"רף":134022,"ĠÑģвÑıзи":134023,"×Ĵשת":134024,"ÑģпекÑĤ":134025,"ס×ij×Ļ×ij":134026,"ס×ij×Ļ×ij×Ķ":134027,"ĠíķĦìļĶíķľ":134028,"تخصص":134029,"Ġжив":134030,"ĠживоÑĤ":134031,"ĠMayıs":134032,"تعا":134033,"تعاÙĪÙĨ":134034,"ĠعÙĨÙĩا":134035,"ówki":134036,"ĠاÙĦÙģÙĦسطÙĬÙĨÙĬ":134037,"ãģłãģijãģ§ãģªãģı":134038,"ìĿ¸ì§Ģ":134039,"ĠاÙĦسÙĪد":134040,"ĠاÙĦسÙĪداÙĨ":134041,"إجراءات":134042,"Ġkötü":134043,"Ġ×Ļתר":134044,"×Ĵ×Ļש×Ķ":134045,"Ġצ×ķר×ļ":134046,"รà¸ĸย":134047,"รà¸ĸยà¸Ļà¸ķà¹Į":134048,"ÑħоÑĤ":134049,"ÐłÐIJ":134050,"ÙĪØ·ÙĨ":134051,"Ġsayısı":134052,"ס×Ĺר":134053,"ÙħÙĪÙĦ":134054,"ãĤĴæĮģãģ£ãģ¦":134055,"عاÙĨ":134056,"Ġtá»Ļi":134057,"ĠвÑĭÑĪе":134058,"Ġtầm":134059,"ãĥĪãĥ¬":134060,"×Ļצ×ķ":134061,"มุม":134062,"سÙĪد":134063,"ìłĦìŀIJ":134064,"ãĤµãĥŃãĥ³":134065,"ìĤ°ìĹħ":134066,"ĠоÑģнован":134067,"Ø®Ùģض":134068,"רצ×Ķ":134069,"بÙĬض":134070,"×ķÖ¹":134071,"ס×Ļ×Ļ×¢":134072,"Ġש×IJ×Ļ":134073,"ĠاÙĦÙĤرآÙĨ":134074,"ĠТакже":134075,"×ŀש×ŀ×¢×ķת":134076,"سÙĩÙĦ":134077,"Ġ×Ķ׳×Ķ":134078,"ãĤĴãģĹãģ¦ãģĦãĤĭ":134079,"×Ļ×Ļס":134080,"×Ķ×ķ×IJ":134081,"ĠBÃŃ":134082,"Ġмало":134083,"ĠëĶ°ëĿ¼ìĦľ":134084,"Ġר×Ĺ×ij":134085,"ãģĮé«ĺãģĦ":134086,"ÙĪاس":134087,"ìĤ¼":134088,"×ł×¢":134089,"ãģ£ãģ¡ãĤĥ":134090,"ĠTüm":134091,"à¸Ńีà¸ģà¸Ķà¹īวย":134092,"ãģĹãģ¦ãģıãģłãģķãģĦ":134093,"ÙĨشاط":134094,"ãĥĹãĥ©ãĥ³":134095,"алиÑģÑĮ":134096,"×ĵ×ľ×ª":134097,"ĠwczeÅĽ":134098,"ĠwczeÅĽniej":134099,"ĠÑįÑĤим":134100,"Ġthá»ĭt":134101,"à¸ļัà¸į":134102,"à¸ļัà¸įà¸Ĭี":134103,"ãģļãģ£ãģ¨":134104,"ÑĢин":134105,"ĠswojÄħ":134106,"íķĺëĬĶëį°":134107,"Ġë§Įëĵ¤ìĸ´":134108,"تشÙĥ":134109,"تشÙĥÙĬÙĦ":134110,"ائÙĩ":134111,"Ġ׾פ×Ĺ×ķת":134112,"ãĥĭãĥ¥":134113,"ãĥĭãĥ¥ãĥ¼ãĤ¹":134114,"׼×IJף":134115,"ãģ§ãģįãģŁ":134116,"звон":134117,"ĠstaÅĤ":134118,"×Ĺ×ijרת×Ļ":134119,"ĠأعÙĦÙĨ":134120,"à¹ģà¸ļà¸ļà¸Ļีà¹ī":134121,"بدء":134122,"ãĤģãģŁ":134123,"Ġ×ŀש×ŀ×¢×ķת":134124,"Ġ×ŀש×ŀ×¢×ķת×Ļ":134125,"örü":134126,"Ġhạnh":134127,"zähl":134128,"ĠLý":134129,"Ġ×ij×Ķת":134130,"Ġ×ij×Ķת×IJ×Ŀ":134131,"баÑĢ":134132,"ì¦Ī":134133,"ä»ĬåĽŀãģ®":134134,"Ġyü":134135,"Ġyüks":134136,"Ġyüksel":134137,"ãĤ½ãĥ¼":134138,"ãģĤãĤĮ":134139,"×ª×ľ×ŀ×Ļ×ĵ":134140,"ãģ¤ãģª":134141,"×ij׳×Ļ×Ŀ":134142,"Ġxếp":134143,"ĠмÑĥжÑĩин":134144,"ĠاÙĦÙĥتاب":134145,"׼×ŀ×ķת":134146,"Ġçe":134147,"ĠçeÅŁ":134148,"ĠçeÅŁit":134149,"ĠçeÅŁitli":134150,"×ĵ×Ļר×ķת":134151,"à¸ļุà¸į":134152,"ĠاÙĦØ¥ÙĦÙĥ":134153,"ĠاÙĦØ¥ÙĦÙĥترÙĪ":134154,"ĠاÙĦØ¥ÙĦÙĥترÙĪÙĨÙĬ":134155,"ĠباÙĦإض":134156,"ĠباÙĦإضاÙģØ©":134157,"Ġyönel":134158,"Ġyönelik":134159,"mysÅĤ":134160,"à¸Ķà¹īวยà¸ģาร":134161,"à¸ģารà¸Ĺำ":134162,"овÑĭм":134163,"أزÙħØ©":134164,"æİ¢ãģĹ":134165,"íļ¨":134166,"Ġ×ķ×IJ×Ŀ":134167,"Ġnghiêm":134168,"ÑĪин":134169,"кал":134170,"Ġcrianças":134171,"èĩªåĪĨãģ§":134172,"Ġнай":134173,"ĠнайÑĤи":134174,"ĠSá»ij":134175,"ĠÃ¶ÄŁrenciler":134176,"ãĥ¶æľĪ":134177,"Ñģан":134178,"ĠJá":134179,"ĠkonuÅŁma":134180,"شرط":134181,"ëĪĪ":134182,"arrière":134183,"ضرÙĪرة":134184,"ãĥĶãĥ³":134185,"עשר":134186,"аÑĢÑĮ":134187,"جÙħاع":134188,"Ġdéco":134189,"Ġ×Ļ×Ķ×ķ×ĵ×Ļ":134190,"à¸ŀลาà¸Ķ":134191,"ĠÙĬÙĥÙĨ":134192,"ĠجاÙħعة":134193,"طبÙĤ":134194,"ĠboÅŁ":134195,"×ķ×ķ×IJ":134196,"×ŀ×ĵ×¢":134197,"ק×ij×ķצת":134198,"פ×Ļר":134199,"jÄħcym":134200,"Ùħشا":134201,"ÙħشاÙĥÙĦ":134202,"צפ×ķף":134203,"إست":134204,"×ŀ׼ר":134205,"سÙħع":134206,"Ġкакой":134207,"ÑĤвоÑĢ":134208,"ØŃج":134209,"Ùģرض":134210,"пÑĢавлен":134211,"Ġникак":134212,"Ġmiá»ĩ":134213,"Ġmiá»ĩng":134214,"Ã¼ÃŁ":134215,"иÑĢовал":134216,"׾×ŀ×ķת":134217,"次ãģ®":134218,"ÙĦØ·":134219,"à¸ķัà¸Ļ":134220,"×Ķת×Ĺ×Ļ׾":134221,"ĠfotoÄŁ":134222,"ĠfotoÄŁraf":134223,"طرØŃ":134224,"à¸Ńà¸Ńà¸ģà¹Ħà¸Ľ":134225,"Ġyên":134226,"Ġпок":134227,"ĠпокÑĥп":134228,"ĠпокÑĥпа":134229,"ÑĨÑĥ":134230,"ĠкомпÑĮÑİ":134231,"ĠкомпÑĮÑİÑĤеÑĢ":134232,"ĠاÙĦÙĥرÙĬÙħ":134233,"تصÙħ":134234,"تصÙħÙĬÙħ":134235,"Ġоказа":134236,"Ġzarówn":134237,"Ġzarówno":134238,"ëĮĢì¶ľ":134239,"ãĤ»ãĥ³ãĤ¿ãĥ¼":134240,"ĠjakoÅĽci":134241,"æĤ©":134242,"æĤ©ãģ¿":134243,"Ø£ÙĨÙĪ":134244,"Ø£ÙĨÙĪاع":134245,"ë¹ł":134246,"Ġìłķë§IJ":134247,"Ġkẻ":134248,"ĠÑģайÑĤа":134249,"Ġ×Ķער×ij":134250,"Ùĩز":134251,"presión":134252,"ĠÑģÑĤен":134253,"ãģ£ãģ¦ãĤĭ":134254,"Ġhızlı":134255,"ÐļÐIJ":134256,"×ŀשפ×Ĺת":134257,"ĠÙĨÙĩا":134258,"ĠÙĨÙĩاÙĬØ©":134259,"ãģ¾ãģĦ":134260,"оÑħÑĢан":134261,"รà¹īà¸Ńย":134262,"ลึà¸ģ":134263,"ĠÙĪباÙĦ":134264,"ãĤĤãģ®ãģĮ":134265,"ר׼×Ļ×ij":134266,"ãĤ¤ãĥ¤":134267,"سؤ":134268,"سؤاÙĦ":134269,"ĠÙĦØ£ÙĨÙĩ":134270,"ĠkonuÅŁtu":134271,"ÐļÑĥпиÑĤÑĮ":134272,"Ġש×IJת×Ķ":134273,"ĠÙĪاÙĦس":134274,"ĠmożliwoÅĽci":134275,"Ġprób":134276,"ëĶ°":134277,"ãģ©ãĤĮ":134278,"ĠÐľÐ¸Ð½":134279,"ĠоÑĢганизм":134280,"ãģ«å¯¾ãģĻãĤĭ":134281,"ĠPré":134282,"Ġprivé":134283,"chè":134284,"ãģĦãģŁãģłãģį":134285,"สà¸Ļุà¸ģ":134286,"ajÄħce":134287,"ĠDzi":134288,"ĠDziÄĻki":134289,"ÅĤatw":134290,"rän":134291,"ränk":134292,"æĿ¥ãģŁ":134293,"Ġ×Ķ×Ļ×Ķ×ķ×ĵ×Ļ":134294,"ãĤ¬ãĥ¼":134295,"ĠÑĢад":134296,"ĠÑĢади":134297,"кÑĤив":134298,"Ø£Ùĩد":134299,"Ø£ÙĩداÙģ":134300,"ש×IJ×Ļר":134301,"ãģ¦ãģĦãģªãģĦ":134302,"Ġfrüh":134303,"Ġокол":134304,"Ġоколо":134305,"Ġregião":134306,"ĠÑĩиÑģле":134307,"Ġponiew":134308,"Ġponieważ":134309,"ìĦ¼íĦ°":134310,"Ġbầu":134311,"Ġê·":134312,"Ġê·ľ":134313,"Ġê·ľìłķ":134314,"ĠHòa":134315,"ĠÑĤоÑĤ":134316,"ãĤĤå¤ļãģĦ":134317,"ĠاÙĦإسÙĦاÙħÙĬØ©":134318,"ãģĭãģĦ":134319,"Ñįн":134320,"ĠÑĥказан":134321,"ĠÑĤакое":134322,"ï¼³":134323,"ëĮĢíķĻ":134324,"ĠgeniÅŁ":134325,"ĠاÙĦØ®ÙĬ":134326,"ĠاÙĦØ®ÙĬارات":134327,"ãĤĴè¡ĮãģĨ":134328,"ש×ŀ×Ķ":134329,"ĠLÃłm":134330,"ÙĪÙĨÙĬ":134331,"Ġ×IJ׾×Ļ×ķ":134332,"Äĺ":134333,"à¹Ħมà¹Īสามารà¸ĸ":134334,"人ãģ¨":134335,"برز":134336,"×Ļס×ķ×ĵ":134337,"×Ĵ׾×Ļ":134338,"ĠÙĬÙĨا":134339,"ĠÙĬÙĨاÙĬر":134340,"ĠкаÑĢÑĤин":134341,"Ġtôn":134342,"à¹Ģà¸ģร":134343,"à¸Ħà¸Ķี":134344,"Ġ׾×IJ×ķר×ļ":134345,"ãĤĤãĤīãģĨ":134346,"ãģĭãģĭãĤĭ":134347,"ании":134348,"ĠaraÅŁtırma":134349,"ÙĦاØŃظ":134350,"ãģĦãĤĦ":134351,"ĠTÃłi":134352,"Ġà¸Ļà¸Ńà¸ģà¸Īาà¸ģ":134353,"Ġà¸Ļà¸Ńà¸ģà¸Īาà¸ģà¸Ļีà¹ī":134354,"ĠÄIJảng":134355,"ãģ£ãģ¦ãģįãģŁ":134356,"Ġà¸ĭึà¹Īà¸ĩà¹Ģà¸Ľà¹ĩà¸Ļ":134357,"Ġtả":134358,"ĠmożliwoÅĽÄĩ":134359,"ĠSản":134360,"ĠÄ°ki":134361,"Ġcắt":134362,"سأÙĦ":134363,"Ġbakım":134364,"شب":134365,"à¸ķีà¹ī":134366,"à¸ŀยาย":134367,"à¸ŀยายาม":134368,"à¸ªà¸±à¸Ľ":134369,"à¸ªà¸±à¸Ľà¸Ķา":134370,"à¸ªà¸±à¸Ľà¸Ķาหà¹Į":134371,"ë°Ģ":134372,"еÑĢÑĭ":134373,"Ġcánh":134374,"Ġthuế":134375,"تبع":134376,"ãģ«åħ¥ãĤĮ":134377,"ÑİÑģÑĮ":134378,"íļĮìĿĺ":134379,"ç°¡åį":134380,"ç°¡åįĺ":134381,"ç°¡åįĺãģ«":134382,"Ġtrúc":134383,"ĠاÙĦÙĥÙĪÙĬ":134384,"ĠاÙĦÙĥÙĪÙĬت":134385,"ãĤıãģijãģ§ãģĻ":134386,"ĠÑģвоб":134387,"ĠÑģвобод":134388,"ĠÑĥÑĩаÑģÑĤник":134389,"สิà¹īà¸Ļ":134390,"ĠпÑĢоÑĦеÑģÑģиона":134391,"ĠпÑĢоÑĦеÑģÑģионалÑĮн":134392,"ÑģпоÑĢ":134393,"×Ĺ×ķ×ij×Ķ":134394,"ÙħعÙĨÙī":134395,"ĠاÙĦÙģترة":134396,"สูà¸ĩสุà¸Ķ":134397,"ãĤıãģļ":134398,"ĠÄijè":134399,"ĠÄijèn":134400,"æ¯Ķãģ¹":134401,"าà¸ĺิ":134402,"Ġmożemy":134403,"à¹ģà¸ĭ":134404,"à¸Īะà¹Ħมà¹Ī":134405,"Ġsắp":134406,"ÐļÐŀ":134407,"Ġpráctica":134408,"ÙĪÙĥاÙĦØ©":134409,"è¾¼ãĤĵãģ§":134410,"ológica":134411,"ĠеÑī":134412,"ĠеÑīÑij":134413,"تعدÙĬÙĦ":134414,"ĠØ£Ùĥد":134415,"Ġצר×Ļ׼":134416,"Ġצר×Ļ׼×Ļ×Ŀ":134417,"Ø«Ùħ":134418,"ĠкÑĢÑĥ":134419,"ĠкÑĢÑĥп":134420,"×ij×Ļק×ķרת":134421,"Ġì¡°ê¸Ī":134422,"ãģ¨ãģįãģ¯":134423,"Ġbạc":134424,"ĠÑĢаÑģпол":134425,"ĠÑĢаÑģполож":134426,"ĠÑĢаÑģположен":134427,"زÙĬÙĨ":134428,"ĠÐļÑĢоме":134429,"ĠاÙĦÙĨظر":134430,"×Ķ×ķ×ĵ":134431,"ĠاÙĦسبت":134432,"ãģ¨æĢĿãģĦ":134433,"ĠpaÅĦst":134434,"ĠpaÅĦstw":134435,"ĠÙĦÙĬست":134436,"ĠбÑĥдÑĥ":134437,"à¸Ĺัà¸Ļà¸Ĺี":134438,"ราม":134439,"ØŃصÙĪÙĦ":134440,"ãģĹãģ¦ãģıãĤĮãĤĭ":134441,"ĠاÙĦإسرائÙĬÙĦ":134442,"ĠاÙĦإسرائÙĬÙĦÙĬ":134443,"ãģĵãĤĮãģ¾ãģ§":134444,"ìĤ¬ë¥¼":134445,"Ġsürü":134446,"à¹Ģวà¸Ńรà¹Į":134447,"à¹Ģà¸ĭà¸Ńรà¹Į":134448,"Ġutilisé":134449,"ĠÑģиÑģÑĤема":134450,"Ġdwó":134451,"Ġdwóch":134452,"Ġpróprio":134453,"Ġëĵ±ìĿĦ":134454,"arrêt":134455,"ĠЧа":134456,"×IJ×ŀ׳×ķת":134457,"عارض":134458,"à¹Ģà¸ģมสà¹Į":134459,"Ġ׾×Ķ×ij×Ļף":134460,"Ġ׾×ij×Ĺ":134461,"Ġ׾×ij×Ĺ×ķר":134462,"สาà¸Ĥา":134463,"ĠÐľÐ¾Ñģкве":134464,"بعد":134465,"ĠاÙĦÙĤرار":134466,"ĠÄIJá»ĭa":134467,"Ġ×Ĺ×Ĵ":134468,"Ùģتر":134469,"ÙĪÙĨØ©":134470,"Ġ×Ķ×ĸ×IJת":134471,"å¸Ĥãģ®":134472,"ãģ»ãģĹãģĦ":134473,"Ġ×ij×¢×Ļר":134474,"ĠÑĤепеÑĢÑĮ":134475,"ìĬµëĭĪê¹Į":134476,"à¹Ħมà¹Īว":134477,"à¹Ħมà¹Īวà¹Īา":134478,"à¹Ħมà¹Īวà¹Īาà¸Īะ":134479,"×ŀ×IJ×Ķ":134480,"æĥħåł±":134481,"æĥħåł±ãĤĴ":134482,"غÙĨ":134483,"ĠпоÑı":134484,"ĠпоÑıви":134485,"éģİãģĶ":134486,"تشغ":134487,"تشغÙĬÙĦ":134488,"вел":134489,"Ġ×Ĺ×ŀ":134490,"ãģ¨ãģªãĤĬãģ¾ãģĻ":134491,"ĠraÄŁ":134492,"ĠraÄŁmen":134493,"ãģĭãģ©ãģĨ":134494,"ãģĭãģ©ãģĨãģĭ":134495,"енко":134496,"ì§Ģê³ł":134497,"Ġ×IJ׾×Ļ×Ķ":134498,"ĠØ£ÙĦ":134499,"à¸Īำหà¸Ļ":134500,"à¸Īำหà¸Ļà¹Īาย":134501,"nızı":134502,"Ġ׾ק×Ĺת":134503,"Ø£ÙĩÙħ":134504,"Ø£ÙĩÙħÙĬØ©":134505,"تغÙĬر":134506,"ש×Ĺר":134507,"ס×ķפר":134508,"×ĵ×Ļר":134509,"èī¯ãģĭãģ£ãģŁ":134510,"×ŀ׾×Ĺ×ŀ×Ķ":134511,"ÑģÑĤвие":134512,"ÑĤÑĢаÑĤ":134513,"ĠاÙĦأخ":134514,"ĠاÙĦأخÙĬرة":134515,"ĠاÙĦØŃصÙĪÙĦ":134516,"Ġcrédito":134517,"צ×Ļ×¢":134518,"ãĥ¬ãĥĻãĥ«":134519,"برÙĬ":134520,"ëIJIJ":134521,"ãģłãģ£ãģ¦":134522,"ĠrealtÃł":134523,"سÙģر":134524,"×ķ׳×ķ":134525,"×Ĵ×ķ×ĵ":134526,"×Ĵ×ķ×ĵ׾":134527,"ฮา":134528,"ãģĹãģ¦ãģĬãĤĬãģ¾ãģĻ":134529,"ĠgÃł":134530,"Ġ׾×ijצע":134531,"å¼ķè¶ĬãģĹ":134532,"Ġ×ŀ×Ļ׾×Ļ":134533,"Ġ×ŀ×Ļ׾×Ļ×ķף":134534,"Ùħدر":134535,"Ùħدرسة":134536,"פ×ķ×ĺ":134537,"à¸Ļà¹īำมัà¸Ļ":134538,"ëģĿ":134539,"عÙĥس":134540,"ĠÙĤض":134541,"ĠÑĢÑĭб":134542,"خطط":134543,"×ŀ×ķס×ĵ":134544,"Ġ׼׾׾×Ļ":134545,"ĠкоÑĤоÑĢое":134546,"צ×Ļ×ķף":134547,"ĠмеÑģÑĤа":134548,"ãģĭãģ¤":134549,"гÑĢÑĥпп":134550,"׾×Ļ׾":134551,"ת×ķ×IJר":134552,"ë³µì§Ģ":134553,"à¹ģà¸ľà¹Īà¸Ļ":134554,"Ġ×ijעת":134555,"æĻĤéĸĵãĤĴ":134556,"ï¼£":134557,"ãģ¨ãģĦãģĨãģĵãģ¨ãģ§":134558,"Ġ׾×Ķק":134559,"Ġ׾×ĸ×Ķ":134560,"ĠìłĢëĬĶ":134561,"ĠاÙĦإرÙĩاب":134562,"ĠìŀĪëĬĶëį°":134563,"ĠÑĤогда":134564,"Ġ×Ķצ×Ļ":134565,"×ķ׾×ĺ":134566,"Ġרפ×ķ×IJ×Ļ":134567,"ãģĵãģ¨ãģ§ãģĻ":134568,"ĠÄijÃŃch":134569,"ØŃÙĬا":134570,"Ġ×Ķ×ŀש×Ĺק":134571,"ãģľãģ²":134572,"Ġ×ŀ×IJפשר":134573,"ãģ¿ãģ¾ãģĹãģŁ":134574,"ĠاÙĦØ£ÙħÙĬرÙĥÙĬ":134575,"ÙħجتÙħع":134576,"Ġساب":134577,"ĠسابÙĤ":134578,"׼×Ļ׾":134579,"Ế":134580,"ãĥªãĤ¹ãĥĪ":134581,"Ġìĥ":134582,"ĠìĥĪ":134583,"ĠìĥĪë¡ľ":134584,"ĠìĥĪë¡ľìļ´":134585,"ĠDá»ĭch":134586,"à¹Ģหมาะสม":134587,"ĠاÙĦÙĨبÙĬ":134588,"׾׾":134589,"ÙĨع":134590,"Ðĵлав":134591,"ÐĵлавнаÑı":134592,"Ùħرض":134593,"Ġ×ķ×ĵ":134594,"تÙĤÙĬ":134595,"تÙĤÙĬÙĬÙħ":134596,"Ġbảng":134597,"ĠÙģÙĤاÙĦ":134598,"×¢×ŀ×Ļ":134599,"дÑĢа":134600,"Ġsuá»ijt":134601,"سرعة":134602,"Ġcá»Ń":134603,"Ġ×Ķ×Ļ×Ĺ×Ļ×ĵ":134604,"سعÙĬد":134605,"à¸Ńาà¸Ĭีà¸ŀ":134606,"ĠسÙĪاء":134607,"ãĤ½ãĥķãĥĪ":134608,"ĠлиÑĩно":134609,"ĠÐļоÑĢ":134610,"اÙĩتÙħ":134611,"اÙĩتÙħاÙħ":134612,"à¸Ńà¸Ķี":134613,"à¸Ńà¸Ķีà¸ķ":134614,"ãģIJãĤīãģĦ":134615,"Ġihtiya":134616,"Ġihtiyaç":134617,"ãģ¾ãģ§ãģ®":134618,"ìĭľìĬ¤":134619,"ìĭľìĬ¤íħľ":134620,"ÑĢÑĥÑĪ":134621,"ãĤĦãģ£ãģ±":134622,"ãĤĦãģ£ãģ±ãĤĬ":134623,"кеÑĢ":134624,"Ġży":134625,"Ġżyw":134626,"клон":134627,"Ġlượt":134628,"þ":134629,"даÑĩи":134630,"türk":134631,"غÙĪ":134632,"ĠигÑĢок":134633,"Ġphê":134634,"Ġ×©×¢×ľ":134635,"ĠاÙĦÙħدÙĨÙĬ":134636,"ĠìŬ룬ë¶Ħ":134637,"ער×Ļ×Ŀ":134638,"ÑħодÑıÑĤ":134639,"Ġxứ":134640,"ÐĹа":134641,"ĠÙģرص":134642,"à¸Īะà¸Ĺำà¹ĥหà¹ī":134643,"íģ´":134644,"×¢×ij×ķר":134645,"à¹Ģหลà¹Īาà¸Ļีà¹ī":134646,"èĢĥãģĪãĤĭ":134647,"ÑĢеÑģÑĤ":134648,"ннÑĭй":134649,"Ġcầm":134650,"داخÙĦ":134651,"ĠÙħÙĦÙĬار":134652,"ĠÐIJл":134653,"ĠвÑĢемен":134654,"à¸Ĭà¹Īวยà¹ĥหà¹ī":134655,"ר×Ļ×ķת":134656,"ëĵ¯":134657,"飲ãģ¿":134658,"׳׾":134659,"שתף":134660,"ĠاÙĦسعÙĪدÙĬ":134661,"uÃŁ":134662,"ìĿ¸ëį°":134663,"ĠìĿ¼ë°ĺ":134664,"ÅĤÄĻ":134665,"Ġmá»iji":134666,"×ŀ×Ļ׳":134667,"ĠاÙĦأطÙģاÙĦ":134668,"Ġçıkan":134669,"école":134670,"ק×Ļש":134671,"ק×Ļש×ķר":134672,"ĠоÑģÑĥÑīеÑģÑĤв":134673,"ĠоÑģÑĥÑīеÑģÑĤвлÑı":134674,"×ij×IJר":134675,"à¹Ħà¸Ľà¸Ķà¹īวย":134676,"Ġ×¢×ķ׾×Ķ":134677,"à¸ģà¹ĩà¹Ħมà¹Ī":134678,"ãĥ¢ãĥĩ":134679,"ãĥ¢ãĥĩãĥ«":134680,"تØŃÙĪÙĦ":134681,"Ġодного":134682,"ת×Ĺ×Ļ×ľ×ª":134683,"Ġتخ":134684,"Ġchcia":134685,"ĠchciaÅĤ":134686,"ãĥIJãĥ³":134687,"èĢħãģ¯":134688,"ĠÙħØŃÙĦ":134689,"Ñģлож":134690,"Ñģложн":134691,"ĠtÄĻ":134692,"Ġçıkt":134693,"Ġçıktı":134694,"ĠCÆ¡":134695,"à¹Ħà¸Ķà¹īà¹Ģลย":134696,"ırken":134697,"à¹Ģà¸Ĥà¹īาสูà¹Ī":134698,"ÙħØŃÙĥ":134699,"ÙħØŃÙĥÙħØ©":134700,"à¸Ħุà¹īม":134701,"à¸Ļà¹Īาà¸Īะ":134702,"лÑİд":134703,"деÑģÑı":134704,"деÑģÑıÑĤ":134705,"ĠлÑİбой":134706,"تØŃرÙĬر":134707,"צע×ĵ":134708,"ĠеÑij":134709,"ĠاÙĦØŃÙĥÙħ":134710,"ĠصباØŃ":134711,"à¹Ģà¸ļà¸Ńรà¹Į":134712,"Ġróżnych":134713,"гиб":134714,"ĠÑģоÑĤ":134715,"ĠÑģоÑĤÑĢÑĥд":134716,"ĠÑģоÑĤÑĢÑĥдник":134717,"ĠобÑĬем":134718,"פ×ĺר":134719,"ãģĻãģĶãģı":134720,"ãģ«éĸ¢ãģĹãģ¦":134721,"вол":134722,"Ø«ÙħاÙĨ":134723,"Ġdần":134724,"æĬľ":134725,"æĬľãģij":134726,"Ġעש":134727,"Ġעש×ķ×Ļ":134728,"ס×ķף":134729,"ãģªãģ®ãģ§ãģĻ":134730,"ãģ¯ãģ©ãģĨ":134731,"×ŀער×ij":134732,"ï¼°":134733,"Ùħصر":134734,"ÙħÙĨاسب":134735,"ÙħÙĨاسبة":134736,"ä¸Ĭãģ®":134737,"×IJ×Ļש×ķר":134738,"ĠìĦ¤ì¹ĺ":134739,"×ŀ×ĵ×Ļ׳×ķת":134740,"×ŀרת":134741,"ãĤĭãģ®ãģĮ":134742,"دÙİ":134743,"ĠاÙĦشرÙĥات":134744,"ìĭľê°Ħ":134745,"ĠÑĢеÑĪение":134746,"ãģĻãĤĭãģ®ãģ¯":134747,"ĠìŀIJìĭłìĿĺ":134748,"׾×ŀ×ķ":134749,"ãģ¨ãģĵãĤįãģ§":134750,"Ġקצר":134751,"Ġmãi":134752,"Ġkültür":134753,"ãĥ©ãĤ¤ãĥĸ":134754,"à¸ľà¸¹à¹īหà¸įิà¸ĩ":134755,"æĻĤéĸĵãģĮ":134756,"клÑİÑĩи":134757,"diÄŁiniz":134758,"มาà¸ģà¹Ĩ":134759,"تØŃÙħÙĦ":134760,"Ġhạt":134761,"ãĤ¦ãĤ£":134762,"пле":134763,"×ŀ׾×IJ":134764,"ÅĤó":134765,"Ġgá»ijc":134766,"Ġ×IJ×ķ×ĵ×ķת":134767,"หวาà¸Ļ":134768,"ĠاÙĦÙĪز":134769,"ĠاÙĦÙĪزراء":134770,"ëĵ¤ê³¼":134771,"ĠصØŃ":134772,"ĠصØŃÙĬÙģØ©":134773,"Ġмм":134774,"تدخÙĦ":134775,"Ġpersönlich":134776,"ĠزÙĬ":134777,"ĠزÙĬادة":134778,"ãĤ·ãĤ¢":134779,"Ġngắn":134780,"à¸Ħลิà¸ģ":134781,"Ġsông":134782,"Ġtüket":134783,"ÑįÑĦÑĦ":134784,"ÑįÑĦÑĦекÑĤ":134785,"ש×Ļ×ij":134786,"Ġاعت":134787,"تض":134788,"تضÙħÙĨ":134789,"ĠاÙĦÙħشرÙĪع":134790,"Ġprodução":134791,"ĠпÑĢименÑı":134792,"ниÑĨÑĭ":134793,"주ëĬĶ":134794,"رÙı":134795,"ĠmÆ¡":134796,"Ġhayatı":134797,"ëŁ½":134798,"Ġücret":134799,"Ġyanında":134800,"Ġprática":134801,"×ij×Ļק×ķר":134802,"ÃľN":134803,"ÑģоÑĤ":134804,"ãĤıãģijãģ§":134805,"Ġдолго":134806,"×ª×Ľ×ķ":134807,"ĠìķĦëĭĮ":134808,"ëį°ìĿ´":134809,"Ġçiz":134810,"ĠchoÄĩ":134811,"Ġ×Ķ×Ļת":134812,"Ġ×Ķ×Ļתר":134813,"Ġsoát":134814,"׼×ij×ĵ":134815,"à¹Ģลà¹Īา":134816,"ĠдеÑĢ":134817,"ĠдеÑĢев":134818,"ãĤĴåħ¥ãĤĮ":134819,"×Ĺ×ķס":134820,"×Ĺ×ķסר":134821,"جÙĬÙĨ":134822,"tón":134823,"onné":134824,"ĠполноÑģÑĤÑĮÑİ":134825,"人ãģŁãģ¡":134826,"Ġprêt":134827,"본":134828,"Ġdécembre":134829,"cılar":134830,"Ġתת":134831,"Ġê²½ìļ°ìĹIJëĬĶ":134832,"ÙĪعد":134833,"è¦ĭãĤĭ":134834,"วิà¸Īัย":134835,"ë¶Ī":134836,"زÙĪا":134837,"زÙĪاج":134838,"dì":134839,"ãģ§ãģĻãĤĪ":134840,"Ġводо":134841,"ĠÙĬÙĪجد":134842,"ÑģоÑģÑĤоÑı":134843,"ÐŀС":134844,"ĠÄIJó":134845,"×Ĺפש":134846,"Ġצ×Ļ×ij×ķר":134847,"ĠاÙĦÙĤØ·":134848,"ĠاÙĦÙĤطاع":134849,"ĠимеÑİÑĤ":134850,"ĠpháºŃn":134851,"×Ľ×¡×¤×Ļ":134852,"полниÑĤелÑĮ":134853,"éĻIJãĤĬ":134854,"ĠÑģÑĢав":134855,"ĠÑģÑĢавн":134856,"ÙħاÙĦÙĥ":134857,"×ĵר×ķ×Ŀ":134858,"çļĨãģķãĤĵ":134859,"ØŃÙĤÙĤ":134860,"à¹ģหลà¹Īà¸ĩ":134861,"ĠاÙĦرسÙħÙĬ":134862,"оÑĩки":134863,"×ĺ×ij×Ĺ":134864,"Ġcanlı":134865,"Ġ׾׾":134866,"Ġ׾׾×ŀ×ķ×ĵ":134867,"×ŀ×ij×ķ":134868,"×ª×Ľ":134869,"×ª×Ľ×ł×Ļת":134870,"ĠاÙĦÙħشار":134871,"ĠاÙĦÙħشارÙĥØ©":134872,"Ä°Åŀ":134873,"ĠسÙĬاسÙĬ":134874,"волÑĮ":134875,"ĠÑģпÑĢав":134876,"æĿ¥ãģ¦":134877,"פ×ķר×ķ×Ŀ":134878,"สำà¹Ģรà¹ĩ":134879,"สำà¹Ģรà¹ĩà¸Ī":134880,"ĠÅŁÃ¶yle":134881,"ĠzostaÅĤa":134882,"ĠHü":134883,"ר×ķש":134884,"دÙĦÙĬÙĦ":134885,"ÑĢид":134886,"שף":134887,"×ŀק×ķר":134888,"ĠÑĥÑĩ":134889,"ĠÑĥÑĩеб":134890,"ĠÑįÑĤа":134891,"кова":134892,"à¸ķà¸Ļà¹Ģà¸Ńà¸ĩ":134893,"ÙĨÙIJ":134894,"à¸Ńีà¸ģà¸Ħรัà¹īà¸ĩ":134895,"ระà¸ļุ":134896,"Ġdữ":134897,"ĠاÙĦØŃاÙĦÙĬ":134898,"׼×ķ׼":134899,"׼×ķ׼×ij":134900,"Ġ×ŀ×IJשר":134901,"Ġtrụ":134902,"ÑĤелем":134903,"Ġвли":134904,"ĠвлиÑı":134905,"Ġש×IJת×Ŀ":134906,"Ġuwag":134907,"ĠuwagÄĻ":134908,"×ĺ×Ļת":134909,"×IJ×ĵ×Ŀ":134910,"à¸Ķุ":134911,"Ġ×Ķ×IJ׾×Ķ":134912,"ĠkarÄ±ÅŁ":134913,"ĠÄIJá»iji":134914,"даÑİÑĤ":134915,"ãģªãģ®ãģ«":134916,"Äħcych":134917,"à¹Ģà¸Ļà¹īà¸Ļ":134918,"ãģĹãģ¦ãģĹãģ¾ãģĨ":134919,"intérieur":134920,"ĠfÃŃsica":134921,"ĠÐŁÐ¾Ð»":134922,"ãģĹãģķ":134923,"à¸Ĺำà¹Ħม":134924,"ĠLâm":134925,"ĠاÙĦÙħسÙĦÙħ":134926,"ĠاÙĦÙħسÙĦÙħÙĬÙĨ":134927,"صØŃØ©":134928,"ìĹĦ":134929,"à¹Ģà¸Ķà¹ĩà¸Ķ":134930,"ĠÑĥÑĩеÑĤ":134931,"âÌģ":134932,"ĠبÙĦا":134933,"ĠاÙĦاجتÙħاعÙĬ":134934,"פרס×Ŀ":134935,"ãĥķãĥ©":134936,"ĠÐļогда":134937,"mieÅĽci":134938,"ĠبÙĬÙĨÙħا":134939,"Ġ×ŀ×IJ×ŀר×Ļ×Ŀ":134940,"Ġ×ij×IJ×ĸ×ķר":134941,"×ķש×Ļ×Ŀ":134942,"ĠÑģдела":134943,"entrée":134944,"à¹Ģà¸Ħà¹īา":134945,"Ñĥгл":134946,"ĠاÙĦÙģÙĨÙĬ":134947,"ĠÐĴоÑĤ":134948,"à¸Ĺีà¹Īมา":134949,"×ķצ×Ĵ":134950,"ÙĤدرة":134951,"Ġ목":134952,"Ġ목ìłģ":134953,"íıīê°Ģ":134954,"ĠاÙĦأربع":134955,"ĠاÙĦأربعاء":134956,"פס×Ļק":134957,"ĠÑıвлÑıÑİÑĤÑģÑı":134958,"بÙĪÙĨ":134959,"ì°¾":134960,"×ŀ×¢×¨×Ľ":134961,"×ŀ×¢×¨×Ľ×ķת":134962,"ãĤ·ãĤ§":134963,"ĠباÙĦØ£":134964,"íĸĪëįĺ":134965,"ĠاÙĦبرÙĨاÙħج":134966,"ĠاÙĦØ£ØŃد":134967,"ĠmÅ©":134968,"ĠmÅ©i":134969,"паÑĤ":134970,"بث":134971,"ĠÑĨенÑĭ":134972,"Ġ×ij×ª×ľ":134973,"è¨ĢãĤıãĤĮ":134974,"ĠاÙĦÙħجاÙĦ":134975,"ĠìĦ¸ìĥģ":134976,"Ġ×Ĵ×ķפ":134977,"ĠнаÑĪей":134978,"ĠкомпаниÑı":134979,"бин":134980,"ölü":134981,"×Ļ×Ļ×ĺ":134982,"Ġ×ŀספ×Ļק":134983,"ยัà¸ĩà¸Ħà¸ĩ":134984,"ĠЧи":134985,"ĠанÑĤи":134986,"ĠÑģÑĢеди":134987,"สà¹Īวà¸Ļà¹ĥหà¸įà¹Ī":134988,"оÑĩка":134989,"íĬ¹ë³Ħ":134990,"วà¹Īาà¸ĩ":134991,"гоÑĢод":134992,"باÙĥ":134993,"à¹Ģสีà¹Īย":134994,"à¹Ģสีà¹Īยà¸ĩ":134995,"ãĤĤãĤīãģĦ":134996,"ק×ķ×Ŀ":134997,"ãģĽãģļ":134998,"ĠاÙĦÙĤاÙĩرة":134999,"Ġ×ij׼×ļ":135000,"ÙħشارÙĬع":135001,"باØŃØ«":135002,"ĠпоÑĩ":135003,"ĠпоÑĩÑĤи":135004,"ĠÑĦоÑĢма":135005,"SÄ°":135006,"Ġ×ŀצ×Ļ×¢":135007,"ลื":135008,"ลืม":135009,"ĠÑĤеÑĢ":135010,"ĠÑĤеÑĢÑĢиÑĤоÑĢ":135011,"ĠÑĤеÑĢÑĢиÑĤоÑĢии":135012,"ĠвмеÑģÑĤ":135013,"ĠвмеÑģÑĤе":135014,"dıkları":135015,"opération":135016,"à¹Ĥห":135017,"صدÙĬ":135018,"صدÙĬÙĤ":135019,"íĸīìłķ":135020,"تجا":135021,"تجاÙĪز":135022,"Ġsuç":135023,"Ġarty":135024,"Ġartyku":135025,"ĠartykuÅĤ":135026,"ãĤ·ãĥ§ãĥĥãĥĹ":135027,"שפ":135028,"שפ×Ļ×¢":135029,"Ġ×Ķש×Ļר×ķת":135030,"à¹ģà¸ĸม":135031,"ë¸Ķ":135032,"ĠukÅĤad":135033,"Ġ×ķ׼×Ļ":135034,"หลาà¸ģ":135035,"หลาà¸ģหลาย":135036,"æĸ¹ãĤĤ":135037,"Ġpodróż":135038,"ĠEÄŁer":135039,"ĠкомнаÑĤ":135040,"ĠÑģамÑĭÑħ":135041,"ĠвкÑĥÑģ":135042,"беж":135043,"Ġ×ijק×ķ":135044,"æİĽãģij":135045,"ãģ¿ãĤĭãģ¨":135046,"ĠiliÅŁkin":135047,"ĠÙĬعÙħÙĦ":135048,"ĠподаÑĢ":135049,"Ġyazılı":135050,"ãĤĴå¾Ĺ":135051,"ĠwystÄĻp":135052,"à¸Ĺีà¹Īà¹ĥà¸Ĭà¹ī":135053,"ØŃادث":135054,"ÙĪÙĬد":135055,"кÑĥлÑĮÑĤ":135056,"кÑĥлÑĮÑĤÑĥÑĢ":135057,"à¸ģารà¹ģà¸Ĥà¹Īà¸ĩ":135058,"à¸ģารà¹ģà¸Ĥà¹Īà¸ĩà¸Ĥ":135059,"à¸ģารà¹ģà¸Ĥà¹Īà¸ĩà¸Ĥัà¸Ļ":135060,"ÙħÙĪظ":135061,"ÙħÙĪظÙģ":135062,"ÙĬÙħÙĬ":135063,"ãĤĵãģ§ãģĻãģĮ":135064,"diÄŁim":135065,"diÄŁimiz":135066,"ĠÐŁÐµÑĢ":135067,"ĠÐŁÐµÑĢв":135068,"Ġmão":135069,"ĠÑģез":135070,"ĠÑģезон":135071,"Ġ×Ķ×ŀ×¢":135072,"ÙħجÙħÙĪعة":135073,"ĠинÑĦоÑĢмаÑĨии":135074,"iếc":135075,"ãng":135076,"ĠÄijấy":135077,"ãģĶç´":135078,"ãģĶç´¹":135079,"ãģĶç´¹ä»ĭ":135080,"Ġadım":135081,"à¹Ħหล":135082,"ĠпÑĢакÑĤи":135083,"ĠпÑĢакÑĤиÑĩ":135084,"ĠпÑĢакÑĤиÑĩеÑģ":135085,"ĠпÑĢакÑĤиÑĩеÑģки":135086,"ĠاÙĦÙĨÙģس":135087,"ĠÑĢабоÑĤе":135088,"ÙĦÙĬÙģ":135089,"ĠاÙĦجÙĨÙĪب":135090,"ĠводÑĭ":135091,"ì¹Ļ":135092,"ĠмиÑĢа":135093,"ĠÄijừng":135094,"ĠпÑĢоÑĤиво":135095,"ĠÑģÑĤÑĢанÑĭ":135096,"ลู":135097,"ìĤ¶":135098,"kreÅĽl":135099,"Ġbulund":135100,"ĠbulunduÄŁu":135101,"à¹ģสà¸Ļ":135102,"ãĤ±ãĤ¢":135103,"ת×Ĺ×ķ×ŀ×Ļ":135104,"ר׼×Ķ":135105,"Ġ׾ק×ķ×Ĺ":135106,"Ġ׾ק×ķ×Ĺ×ķת":135107,"Ġ×Ľ×ª×ķ×ijת":135108,"ĠÙĦÙĥÙħ":135109,"بشر":135110,"ĠrÃłng":135111,"Ġ×ŀ×Ķ×ŀ":135112,"Ġ×IJ×Ĺר×ķת":135113,"Ġбон":135114,"ĠбонÑĥÑģ":135115,"ï½Ĺ":135116,"à¹ģยà¸ģ":135117,"ãģĤãģªãģŁãģ®":135118,"ĠÑĥÑĩаÑģÑĤие":135119,"ĠEyl":135120,"ĠEylül":135121,"ĠçalÄ±ÅŁmaları":135122,"خطر":135123,"ìĿ½":135124,"à¸ģารà¹ĥà¸Ĭà¹īà¸ĩาà¸Ļ":135125,"Ġанализ":135126,"תק×ij׾":135127,"нием":135128,"ĠÄ°ns":135129,"ĠÄ°nsan":135130,"ĠبÙĪاس":135131,"ĠبÙĪاسطة":135132,"Ġ×ł×Ľ×ł×¡":135133,"Ġ×Ķ×ŀ×Ļ×ĵ×¢":135134,"Ġço":135135,"ĠçoÄŁu":135136,"á»ĺ":135137,"ĠêµŃ민":135138,"ãĤĤãģĦãģĦ":135139,"Ġ׼׾×Ļ":135140,"ĠÑģÑĢедне":135141,"gÅĤo":135142,"gÅĤoÅĽ":135143,"Ġnegó":135144,"Ġnegócio":135145,"ĠÑĢегиÑģÑĤ":135146,"ĠÑĢегиÑģÑĤÑĢа":135147,"ĠÑĢегиÑģÑĤÑĢаÑĨии":135148,"Ġtrá»ĵng":135149,"ĠпÑĢÑı":135150,"ĠпÑĢÑıмо":135151,"ëłĪìĿ´":135152,"Ġkém":135153,"кле":135154,"à¸Ļำมา":135155,"ĠÑĦин":135156,"ĠÑĦинанÑģ":135157,"ĠÑĦинанÑģов":135158,"Ġkiá»ĩm":135159,"ยัà¸ĩà¹Ħ":135160,"ยัà¸ĩà¹Ħà¸ĩ":135161,"ยิà¸ĩ":135162,"à¹Ĥà¸Ľ":135163,"ĠполÑĥÑĩил":135164,"×Ļ×ĸ×Ŀ":135165,"à¹ģละà¸Ħวาม":135166,"ĠвообÑīе":135167,"صÙĬر":135168,"ãĥıãĥ³":135169,"ĠاÙĦÙĤاد":135170,"ĠاÙĦÙĤادÙħ":135171,"ĠبدÙĪÙĨ":135172,"عظÙħ":135173,"×ª×ł×ķ×¢":135174,"×ª×ł×ķ×¢×Ķ":135175,"Ø£ÙħÙĦ":135176,"ãģķãģĪ":135177,"ÑĤем":135178,"ÑĤемпеÑĢ":135179,"ÑĤемпеÑĢаÑĤÑĥÑĢ":135180,"Ġ׾×Ļצ×ķר":135181,"ĠrÄĻk":135182,"رسÙĦ":135183,"ìŀIJ를":135184,"Ġ×Ļצ×Ļרת":135185,"ÙĨبÙĬ":135186,"ÑĩнаÑı":135187,"تØŃÙĦÙĬÙĦ":135188,"Ġмик":135189,"ĠмикÑĢо":135190,"ĠSöz":135191,"Ġforça":135192,"Ñģон":135193,"ĠاÙĦعرا":135194,"ĠاÙĦعراÙĤÙĬ":135195,"ĠHá»ĵng":135196,"ãģĻãĤĭãģŁãĤģãģ«":135197,"à¸Ĺีà¹Īà¸Ńยูà¹Ī":135198,"Ġ×ķ×IJ×£":135199,"صÙĬد":135200,"ĠìķĬê³ł":135201,"รัà¸ĩ":135202,"ĠاÙĦتÙĪاصÙĦ":135203,"à¹Ģมà¸ķร":135204,"ÑĥÑģÑĤÑĢой":135205,"ÑĥÑģÑĤÑĢойÑģÑĤв":135206,"mıyor":135207,"ĠباسÙħ":135208,"Ġ×ķ׼×ķ":135209,"ĠGül":135210,"á»IJ":135211,"Ãītat":135212,"غاÙĦ":135213,"Ø¥ÙĨØ´":135214,"Ø¥ÙĨشاء":135215,"TÄ°":135216,"à¸Ĥà¹īาม":135217,"Ġtroch":135218,"ĠtrochÄĻ":135219,"إص":135220,"إصابة":135221,"ĠثاÙĨÙĬ":135222,"ĠاÙĦصØŃØ©":135223,"Ġ×ĸ×Ķ×ķ":135224,"jÄħcej":135225,"ãĥĢãĥ³":135226,"ìĿ¸ìĿ´":135227,"ĠволоÑģ":135228,"ëIJĺë©´":135229,"ĠzakÅĤad":135230,"ãģĻãģĵãģ¨":135231,"以ä¸Ĭãģ®":135232,"Ġ×Ķ×ŀק×ķ×Ŀ":135233,"ÙħشاÙĩ":135234,"ÙħشاÙĩدة":135235,"Ñĩив":135236,"بش":135237,"ยà¹īาย":135238,"Ġsürdür":135239,"ĠNẵ":135240,"ĠNẵng":135241,"ĠигÑĢаÑĤÑĮ":135242,"Ġê·¸ëŁ¬ë©´":135243,"ãĥķãĥ«":135244,"ลà¹Īะ":135245,"Ġtendrá":135246,"ĠbÃły":135247,"à¹Ģà¸Ľà¹ĩà¸Ļà¸ľà¸¹à¹ī":135248,"Ġoko":135249,"ĠokoÅĤo":135250,"wÅĤa":135251,"wÅĤaÅĽci":135252,"wÅĤaÅĽciw":135253,"æĢĿãĤı":135254,"ĠYaÅŁ":135255,"ĠBá»ĩnh":135256,"íıŃ":135257,"بÙĬد":135258,"קרף":135259,"à¹Ģศร":135260,"à¹Ģศรษ":135261,"à¹Ģศรษà¸IJ":135262,"à¹Ģศรษà¸IJà¸ģิà¸Ī":135263,"ĠاÙĦØ£ÙĪرÙĪ":135264,"ĠاÙĦØ£ÙĪرÙĪبÙĬ":135265,"fläche":135266,"ä¹ĹãĤĬ":135267,"Ġbá»ģn":135268,"Ùĩب":135269,"æľĢãĤĤ":135270,"Ġsaç":135271,"à¸Ńำà¹Ģà¸ł":135272,"à¸Ńำà¹Ģà¸łà¸Ń":135273,"Ġأج":135274,"ĠاÙĦداخÙĦ":135275,"ĠاÙĦداخÙĦÙĬØ©":135276,"×ĺ×ķ×ij":135277,"ãĤĤãģªãģı":135278,"ĠлиÑĨа":135279,"à¹ģลà¹īวà¸ģà¹ĩ":135280,"×ĸ׼×Ļר":135281,"ĠquÃł":135282,"ĠÙĥØ°ÙĦÙĥ":135283,"صØŃÙģ":135284,"ĠÃĤu":135285,"ÙĪبا":135286,"à¹Ģà¸Ľà¸¥à¸µà¹Īยà¸Ļà¹ģà¸Ľà¸¥":135287,"à¹Ģà¸Ľà¸¥à¸µà¹Īยà¸Ļà¹ģà¸Ľà¸¥à¸ĩ":135288,"à¸ķัวà¸Ńยà¹Īาà¸ĩ":135289,"Ġrápida":135290,"Ġtasar":135291,"Ġtasarım":135292,"ĠعÙĦÙĬÙĩÙħ":135293,"ס×ķ׾":135294,"cılı":135295,"cılık":135296,"ĠرغÙħ":135297,"ìĭľíĤ¤":135298,"Ġ×IJ׾ק":135299,"Ġ×IJ׾ק×ĺר":135300,"Ġ×IJ׾ק×ĺר×ķ׳×Ļ":135301,"à¹ģà¸ļà¹Īà¸ĩ":135302,"Ġhạng":135303,"ãģ£ãģ¦ãģıãĤĮ":135304,"ĠÙĨتÙĬ":135305,"ĠÙĨتÙĬجة":135306,"ıklı":135307,"غاÙĨ":135308,"à¸Ĥà¹īà¸Ńà¸Ħวาม":135309,"à¸Ľà¸¥à¸²à¸¢":135310,"ĠØ£Ùħس":135311,"à¸Ĺีà¹Īà¹Ģà¸ģีà¹Īยว":135312,"à¸Ĺีà¹Īà¹Ģà¸ģีà¹Īยวà¸Ĥ":135313,"à¸Ĺีà¹Īà¹Ģà¸ģีà¹Īยวà¸Ĥà¹īà¸Ńà¸ĩ":135314,"Ġdéfin":135315,"Ġdéfini":135316,"ÙģÙĨاد":135317,"ÙģÙĨادÙĤ":135318,"à¹Ħà¸Ķà¹īวà¹Īา":135319,"ãģªãģĦãĤĪãģĨãģ«":135320,"Ġprópria":135321,"ĠPhát":135322,"ãĤĦãģĻãģı":135323,"สวยà¸ĩาม":135324,"ê³łìļĶ":135325,"ÑıеÑĤ":135326,"ãģĭãĤĤãģĹãĤĮãģ¾ãģĽãĤĵãģĮ":135327,"ترجÙħ":135328,"ĠкÑĢаÑģив":135329,"Ġ×ŀר×IJש":135330,"деж":135331,"ĠÙĬÙĪÙĨ":135332,"ĠÙĬÙĪÙĨÙĬÙĪ":135333,"ÑģкоÑĢ":135334,"ĠKasım":135335,"ê³Ħìķ½":135336,"коÑģ":135337,"ĠнаÑĢÑĥ":135338,"ĠнаÑĢÑĥÑĪен":135339,"Ġduże":135340,"accès":135341,"Ġhá»ĵng":135342,"ĠvÅ©":135343,"ãģĦãģŁãģĹãģ¾ãģĻ":135344,"Ġ×ĺ×Ļ":135345,"Ġ×ĺ×Ļ×ķ׾":135346,"lıkları":135347,"Ġquê":135348,"ëħ¸ëıĻ":135349,"ìķĶ":135350,"CIÃĵN":135351,"Ġtắc":135352,"pressão":135353,"ĠìŀĪìľ¼":135354,"สิà¸Ĺà¸ĺิà¹Į":135355,"íĥĦ":135356,"Ġ×Ķ×ŀ×ŀש׾×Ķ":135357,"å¬īãģĹãģĦ":135358,"ĠÄIJặc":135359,"ÙĨزÙĦ":135360,"ĠдÑĢÑĥгой":135361,"дÑĥÑĤ":135362,"ìĪĻ":135363,"Ġthụ":135364,"à¹Ģสร":135365,"à¹Ģสรà¹ĩ":135366,"à¹Ģสรà¹ĩà¸Ī":135367,"Ġtoplant":135368,"Ġtoplantı":135369,"×IJ×ŀף":135370,"×ķ×ľ×ª":135371,"помн":135372,"ĠyoÄŁun":135373,"ÅĦskiego":135374,"ì°©":135375,"ĠØ«ÙĦاث":135376,"ĠØ«ÙĦاثة":135377,"Ġlắng":135378,"릴":135379,"ราà¸Ĭà¸ģาร":135380,"ĠÑģлова":135381,"á»Ĩ":135382,"à¸Ķีà¸ģวà¹Īา":135383,"ãģĶãģĸãģĦãģ¾ãģĻ":135384,"Ġдиз":135385,"Ġдизайн":135386,"férence":135387,"lıklar":135388,"ãģªãĤĵãģ§ãģĻ":135389,"ajÄħcy":135390,"Ġëĭ¤ìĸij":135391,"Ġëĭ¤ìĸijíķľ":135392,"ק×Ļר":135393,"ØŃار":135394,"สูà¹ī":135395,"Ġzro":135396,"Ġzrobi":135397,"ĠzrobiÄĩ":135398,"×ŀ×Ļ׼×Ķ":135399,"à¸Ĭà¹Īวยà¹Ģหลืà¸Ń":135400,"ĠÑįÑĤÑĥ":135401,"ë´ī":135402,"楽ãģĹãģĦ":135403,"سÙĪر":135404,"íķĺê±°ëĤĺ":135405,"ÙħؤتÙħر":135406,"ĠpoczÄħ":135407,"ĠpoczÄħtk":135408,"ĠpoczÄħtku":135409,"ĠعربÙĬ":135410,"اÙĦأر":135411,"اÙĦأردÙĨ":135412,"à¸Ķร":135413,"Åĵuvre":135414,"ĠÙĪÙĥاÙĨت":135415,"ĠÅĽredni":135416,"خضر":135417,"Ġchuyến":135418,"нÑĤ":135419,"ĠìķĮê³ł":135420,"Ġvá»Ŀi":135421,"Ġ×ij×Ļ×ĵ×Ļ":135422,"×ŀ×ĵ×ķ×ijר":135423,"ÙĪÙģر":135424,"ÙĬØ¡":135425,"×ł×Ľ×¡":135426,"ĠÐĽÐ°":135427,"лон":135428,"Ġxấu":135429,"ÙģÙĬÙĨ":135430,"Ġfévrier":135431,"ĠÐŀна":135432,"ĠVá»ģ":135433,"ĠÅŁeyler":135434,"ĠполÑĥÑĩен":135435,"зад":135436,"Ġnét":135437,"à¹Ħà¸Ľà¸¢à¸±à¸ĩ":135438,"×Ĺש×ij×ķ":135439,"à¸ļัà¸Ļà¸Ĺ":135440,"à¸ļัà¸Ļà¸Ĺึà¸ģ":135441,"ĠgerçekleÅŁ":135442,"иÑĩеÑģкое":135443,"ìĪĺê°Ģ":135444,"ثبت":135445,"ãģ¤ãģ¾ãĤĬ":135446,"ĠÑĥÑģловиÑıÑħ":135447,"ëĭ¤ê°Ģ":135448,"รายà¹Ħà¸Ķà¹ī":135449,"׼×IJ×ij":135450,"à¹Ĥà¸Ľà¸£à¹Ĥม":135451,"à¹Ĥà¸Ľà¸£à¹Ĥมà¸Ĭัà¹Īà¸Ļ":135452,"jähr":135453,"jährige":135454,"ק׳×Ļ×Ŀ":135455,"×ŀ×ķק":135456,"×ŀ×ķק×ĵ":135457,"ãģ«è¡Įãģ£ãģ¦":135458,"Ø¢ÙĦ":135459,"ведение":135460,"Ġ×ľ×Ľ×ª×ķ×ij":135461,"جÙħÙĩ":135462,"جÙħÙĩÙĪرÙĬØ©":135463,"à¸īà¸ļ":135464,"à¸īà¸ļัà¸ļ":135465,"ĠCòn":135466,"à¸ľà¸ªà¸¡":135467,"ãģªãģ©ãģĮ":135468,"×IJ×Ķ×ij":135469,"ĠдейÑģÑĤвиÑı":135470,"yız":135471,"à¹Ħมà¹Īà¹Ģà¸Ħย":135472,"جÙĪز":135473,"×Ķ×Ĺ׾×ĺ×Ķ":135474,"fällt":135475,"ãĥĵãĤ¸":135476,"ãĥĵãĤ¸ãĥį":135477,"ãĥĵãĤ¸ãĥįãĤ¹":135478,"Ġ×IJ×Ļ׳×Ŀ":135479,"ĠнаÑħодиÑĤÑģÑı":135480,"ĠdziÅĽ":135481,"ستطÙĬع":135482,"׾×Ļף":135483,"Ø®ÙĦاÙģ":135484,"ÙĩÙIJ":135485,"Ġatrás":135486,"íĺģ":135487,"ãĤĴãģĶ":135488,"Ġ×Ķ×ŀ×ķצר":135489,"ĠBakanlıģı":135490,"ÑİÑīее":135491,"ÙħÙĨاط":135492,"ÙħÙĨاطÙĤ":135493,"Ùģد":135494,"à¸Ļำà¹Ħà¸Ľ":135495,"Ġваж":135496,"Ġважно":135497,"Ġmạch":135498,"׼׳×ķ":135499,"بعث":135500,"lanması":135501,"Ġayr":135502,"Ġayrıl":135503,"ìĤ¬íļĮ":135504,"dÃŃa":135505,"pÅĤyw":135506,"اÙħÙĬØ©":135507,"íĺľ":135508,"×IJ׳×Ĵ׾":135509,"×IJ׳×Ĵ׾×Ļת":135510,"ĠìŀĪëĭ¤ëĬĶ":135511,"Ġساعة":135512,"ĠëĤĺíĥĢ":135513,"bö":135514,"à¸Ħัà¸Ļ":135515,"ĠdziaÅĤania":135516,"Ø©Ùĭ":135517,"ĠngÅ©":135518,"׳צ×Ĺ":135519,"ãģ¯ãģĤãĤĭ":135520,"ĠyaÅŁÄ±nda":135521,"stück":135522,"caracter":135523,"caracterÃŃsticas":135524,"Ġrá»Ńa":135525,"ĠÙħختÙĦÙģØ©":135526,"ãģ«ãģĬãģijãĤĭ":135527,"à¹ģà¸ŀà¸ĩ":135528,"วิà¹Īà¸ĩ":135529,"תפ×ķ":135530,"ساÙĩÙħ":135531,"使ãģĨ":135532,"ÙĥرÙĬ":135533,"×IJפ×Ļ":135534,"...............":135535,"ĠÑĤаким":135536,"×Ļ׼×ķ×Ļ":135537,"شبÙĩ":135538,"جÙĬر":135539,"ãģĿãģ®ãģ¾ãģ¾":135540,"acjÄĻ":135541,"ĠاÙĦترÙĥ":135542,"ĠاÙĦترÙĥÙĬ":135543,"ĠпÑĢавилÑĮно":135544,"ĠتعÙħÙĦ":135545,"à¸ģลà¹īา":135546,"Ġbiên":135547,"Ġ×ij׳×Ļ×Ļת":135548,"ĠклÑĥб":135549,"Ġ×ŀש×Ķ":135550,"вÑĪий":135551,"ãģĵãģ¨ãģĮãģ§ãģįãĤĭ":135552,"à¸ŀัà¸Ļà¸ĺุ":135553,"à¸ŀัà¸Ļà¸ĺุà¹Į":135554,"ר×ķ×Ŀ":135555,"ĠاÙĦÙģرÙĨ":135556,"ĠاÙĦÙģرÙĨسÙĬ":135557,"à¹Ģà¸Ľà¹ĩà¸Ļà¸Ħà¸Ļ":135558,"ãģĹãģ¦ãģĬãĤĬ":135559,"Ġthầy":135560,"ãĤĵãģłãģijãģ©":135561,"ìĶ¨":135562,"ÙħدÙĨ":135563,"تÙĪÙĨ":135564,"ĠмеÑĤал":135565,"ĠмеÑĤалл":135566,"ĠinÃŃcio":135567,"à¸Ńà¸Ńà¸ģà¸Īาà¸ģ":135568,"ëĴ¤":135569,"Ġcuá»ijn":135570,"Ġbuá»Ļc":135571,"ÙĨسÙĬ":135572,"ächt":135573,"×ŀ×Ļ׳×Ļ×Ŀ":135574,"ãģķãģ¦":135575,"ãģĮãģ§ãģį":135576,"ÑĬем":135577,"Ġtái":135578,"ĠЧÑĤ":135579,"ĠЧÑĤобÑĭ":135580,"à¸Ľà¸¥à¸¹à¸ģ":135581,"à¸Ĭุมà¸Ĭà¸Ļ":135582,"нÑģкий":135583,"Ġvững":135584,"Ġ×Ķ׾×ij":135585,"ële":135586,"Ġשע×ijר":135587,"ваÑĤÑĮÑģÑı":135588,"бой":135589,"عÙĪÙĨ":135590,"à¹ģà¸Ķà¸Ļ":135591,"Ġספר×Ļ×Ŀ":135592,"Ġtuyên":135593,"Ġnhiêu":135594,"ĠQuý":135595,"Ġhuyết":135596,"ãĤıãģĭãĤīãģªãģĦ":135597,"Ġ×ŀ׼ף":135598,"Ġ×Ķק׾":135599,"Ġ׾×IJ×ķר":135600,"ĠÄIJiá»ĩn":135601,"شؤ":135602,"شؤÙĪÙĨ":135603,"Ġ×ŀ×Ĺפש":135604,"ĠпоÑģÑĤоÑıнно":135605,"×ŀ×Ļר":135606,"ìħĶ":135607,"ÐŀÑģ":135608,"ÐŀÑģнов":135609,"×ĸ×Ļת":135610,"ĠHá":135611,"ĠÑĩаÑģов":135612,"×IJ×ķ׾×Ļ":135613,"Ġmát":135614,"خرÙĪ":135615,"خرÙĪج":135616,"ÙĤضا":135617,"ÙĤضاÙĬا":135618,"à¹Ģà¸Ľà¸Ńรà¹Į":135619,"ĠÙĬÙĪÙĦ":135620,"ĠÙĬÙĪÙĦÙĬÙĪ":135621,"à¹Ĥà¸Ĺษ":135622,"׳פ׾":135623,"ת×ķש":135624,"ת×ķש×ij×Ļ":135625,"Ġvários":135626,"×ŀר×IJ×Ķ":135627,"ëĿ¼ìĿ´":135628,"ÙĨغ":135629,"×ijצע":135630,"гон":135631,"ĠÄIJược":135632,"عÙı":135633,"пÑĥÑģк":135634,"ĠÙĪاÙĦÙģ":135635,"ücü":135636,"×Ļק×Ļ×Ŀ":135637,"ĠسبÙĬÙĦ":135638,"׾×ijף":135639,"ĠاÙĦÙĤرÙĨ":135640,"ס×ķת":135641,"ĠQuáºŃn":135642,"ãģĵãĤĮãģĮ":135643,"ãĥĸãĥ©ãĥ³ãĥī":135644,"×Ĵ×ŀר":135645,"ĠwartoÅĽci":135646,"ĠÙĪبÙĬÙĨ":135647,"Ġdạ":135648,"ÐIJв":135649,"ÐIJвÑĤо":135650,"Ġolacaktır":135651,"à¸Ļà¸Ĺà¹Į":135652,"Ùħطار":135653,"Ġעק×ij":135654,"Ġתפ":135655,"ãģĹãģ¦ãģĦãģ¦":135656,"צ×ŀ×Ĺ":135657,"à¸Īà¸Ńà¸ĩ":135658,"Ġöde":135659,"ìį¨":135660,"ÙĨاس":135661,"調ãģ¹":135662,"ĠогÑĢомн":135663,"ë³´íĹĺ":135664,"×ĺק":135665,"×ĺקס×ĺ":135666,"ĠbaÅŁv":135667,"ĠbaÅŁvuru":135668,"Ġpomys":135669,"ĠpomysÅĤ":135670,"ãģ«ä¹Ĺ":135671,"Ġש׼ף":135672,"ĠاÙĦÙħسؤÙĪÙĦ":135673,"Ġзан":135674,"ĠзанÑıÑĤ":135675,"ĠdÆ°Æ¡ng":135676,"ãĥĹãĥ¬ãĤ¤":135677,"ลà¸ļ":135678,"ÑĤика":135679,"ĠAralık":135680,"Ġнедо":135681,"Ġmá»Ļ":135682,"Ġoran":135683,"Ġoranı":135684,"Ġktór":135685,"ĠktórÄħ":135686,"Ġ×Ķ×IJ×Ĺר×ķ׳×ķת":135687,"ائÙĨ":135688,"ÅĦs":135689,"ÅĦska":135690,"åĽ½ãģ®":135691,"×ŀ×ĺ×Ļ":135692,"ĠвопÑĢоÑģÑĭ":135693,"à¸Ńà¸ĩà¸Ħà¹Įà¸ģร":135694,"×ŀ×ķצ×IJ":135695,"Ġpóź":135696,"Ġpóźniej":135697,"ש×ŀ×IJ׾":135698,"Ġkaps":135699,"Ġkapsam":135700,"Ġkapsamında":135701,"Ġmáquina":135702,"ĠÅĽwiecie":135703,"ĠhoÃłng":135704,"Ġözgü":135705,"×Ĵ×ķר×Ŀ":135706,"ãģĤãģŁãĤĬ":135707,"à¸ķัà¸Ķสิà¸Ļ":135708,"à¸ķัà¸Ķสิà¸Ļà¹ĥà¸Ī":135709,"бÑĢи":135710,"ãģ«ãģªãĤĭãģ¨":135711,"تÙĥÙĪÙĨ":135712,"Ġ×ķ×Ķ×Ļ×IJ":135713,"Ġchiếu":135714,"ÑģÑĤанав":135715,"ÑģÑĤанавли":135716,"ÑģÑĤанавлива":135717,"×ŀ×ķ×Ĵ":135718,"cité":135719,"ĠKörper":135720,"Ġש×Ĵ×Ŀ":135721,"عظ":135722,"عظÙĬÙħ":135723,"Ġ×Ķ×IJ×Ļש×Ļ":135724,"Ġmatière":135725,"ĠÙģÙĪÙĤ":135726,"Ġkto":135727,"ĠktoÅĽ":135728,"à¸Ļà¹Ĥย":135729,"à¸Ļà¹Ĥยà¸ļาย":135730,"å¾ħãģ¡":135731,"à¹Ģมà¸Ļ":135732,"à¹Ģมà¸Ļู":135733,"AÃĩÃĥO":135734,"Ġtù":135735,"Ġtùy":135736,"ãĥĪãĥ³":135737,"ĠоÑĤказ":135738,"Ġ×ŀ×ķצר":135739,"ülü":135740,"ãģķãĤĵãģ«":135741,"Ġ×Ĺ×ķ×ij":135742,"קר×Ļ×IJ×Ķ":135743,"ĠاÙĦخدÙħات":135744,"ĠÙĦÙħدة":135745,"رؤ":135746,"رؤÙĬØ©":135747,"ãĤĴè¦ĭãģ¤ãģij":135748,"à¸Łà¸²":135749,"Ġréussi":135750,"à¸Ļัà¸ģà¹Ģรียà¸Ļ":135751,"ĠÑĩиÑģл":135752,"à¸ģารà¹Ģลà¹Īà¸Ļ":135753,"Ġhazırl":135754,"Ġhazırlan":135755,"ĠпеÑĢвÑĭй":135756,"лим":135757,"ĠоÑĤзÑĭвÑĭ":135758,"ĠwyjÄħ":135759,"ĠwyjÄħtk":135760,"ĠØ£ÙĤÙĦ":135761,"ס×ļ":135762,"Ġê²°ìłķ":135763,"Ġ׾×ŀעש×Ķ":135764,"Ġlắp":135765,"à¹ģà¸ļร":135766,"à¹ģà¸ļรà¸Ļà¸Ķà¹Į":135767,"วà¹Īาà¹Ģà¸Ľà¹ĩà¸Ļ":135768,"Ġبدا":135769,"ĠبداÙĬØ©":135770,"ãģ¨ãģĦãģĨãģ®ãģĮ":135771,"иÑĩеÑģким":135772,"à¸ģารà¸ŀัà¸Ĵà¸Ļา":135773,"ĠbÃło":135774,"ĠmiaÅĤa":135775,"ywaÄĩ":135776,"ĠMärz":135777,"ĠÙĨسبة":135778,"Ġéconomique":135779,"×ĸ×ŀ":135780,"×ĸ×ŀ׳×Ļ×Ŀ":135781,"æŃ¢ãĤģ":135782,"Ġtủ":135783,"íķĺìĭł":135784,"Ġkażdego":135785,"straÃŁe":135786,"à¸Ĭีà¹ī":135787,"à¹Ģà¸ļา":135788,"ÑĢеÑģÑĥÑĢÑģ":135789,"евой":135790,"شباب":135791,"à¸ķà¹Īาà¸ĩà¸Ľà¸£à¸°à¹Ģà¸Ĺศ":135792,"Ġ×IJ×Ļש":135793,"Ġ×IJ×Ļש×Ļת":135794,"×Ļ×ķפ":135795,"×Ļ×ķפ×Ļ":135796,"ĠìļĶ구":135797,"ì¡°ìĤ¬":135798,"ãģ£ãģŁãĤī":135799,"׾×Ļק":135800,"миниÑģÑĤÑĢ":135801,"ãĤĤãģ®ãģ¯":135802,"ĠlÆ°Æ¡ng":135803,"Ġнаи":135804,"Ġнаибол":135805,"Ġнаиболее":135806,"íİĺ":135807,"à¹ģà¸ŀà¹ī":135808,"ãĤŃãĥ¥":135809,"ĠкоÑĤоÑĢÑĭм":135810,"à¹ģà¸Ĺà¸ĩ":135811,"à¹ģà¸Ĺà¸ĩà¸ļà¸Ńล":135812,"Ġ׳×Ļ×Ķ":135813,"Ġ׳×Ļ×Ķ×ķ׾":135814,"âĤª":135815,"ĠGiải":135816,"ĠиÑģполÑĮзова":135817,"ëł¥ìĿĦ":135818,"ãģĹãģĭãĤĤ":135819,"à¸ģà¹ĩà¸ķà¹īà¸Ńà¸ĩ":135820,"ĠÑĢеб":135821,"ĠÑĢебен":135822,"ĠÑĢебенка":135823,"تÙĪاصÙĦ":135824,"ãĤ°ãĥ«ãĥ¼ãĥĹ":135825,"ãĤĦãĤī":135826,"à¹Ģà¸Ľà¸´à¸Ķà¸ķัว":135827,"бÑĢо":135828,"ë°ĸìĹIJ":135829,"ÙĨÙİا":135830,"×Ķ×Ĵ":135831,"×Ķ×Ĵ׳×Ķ":135832,"à¸Ĺรั":135833,"à¸Ĺรัà¸ŀ":135834,"à¸Ĺรัà¸ŀยà¹Į":135835,"Ġkhá»iji":135836,"עצ×ŀ×ķ":135837,"болезн":135838,"Ġë°ĽìķĦ":135839,"มà¸Ļ":135840,"มà¸Ļุ":135841,"มà¸Ļุษ":135842,"มà¸Ļุษยà¹Į":135843,"âĹĨ":135844,"×ŀצ׾×Ļ×Ĺ":135845,"Ñıвление":135846,"ÙħØ·ÙĦ":135847,"ÙħØ·ÙĦÙĪب":135848,"خاÙĦÙģ":135849,"تÙĪÙĤÙģ":135850,"ãģ§ãģįãģ¾ãģĽãĤĵ":135851,"оÑģÑĤей":135852,"меÑĩа":135853,"기ëĬĶ":135854,"תשע":135855,"صÙĬب":135856,"Ġ×ij×¢×ķ×ĵ":135857,"à¸Ĥà¸Ńà¸ĩà¹Ģà¸Ĥา":135858,"ÑĤÑıж":135859,"ĠÑĥпÑĢав":135860,"ĠÑĥпÑĢавлениÑı":135861,"Ġgénér":135862,"ĠthÃŃ":135863,"פ×ļ":135864,"ĠرÙħض":135865,"ĠرÙħضاÙĨ":135866,"Ġtruyá»ĩn":135867,"إعداد":135868,"ãĤµãĥĿãĥ¼ãĥĪ":135869,"Ġполно":135870,"خاÙħ":135871,"ÐŁÐµÑĤ":135872,"ÐŁÐµÑĤеÑĢ":135873,"ÐŁÐµÑĤеÑĢбÑĥÑĢ":135874,"ÐŁÐµÑĤеÑĢбÑĥÑĢг":135875,"ÙħÙĨتدÙī":135876,"ãģķãĤĮãģ¾ãģĹãģŁ":135877,"ĠëĮĢíķĺìŬ":135878,"à¸ľà¸¹à¹īà¸Ĺีà¹Ī":135879,"Ġ×ŀ×IJ×ķ":135880,"׾׳×ĵ":135881,"оÑĩнÑĭе":135882,"ĠнаÑĩала":135883,"Ġ׾×Ļ׾×ĵ×Ļ×Ŀ":135884,"овое":135885,"ãģĻãĤĭãģĵãģ¨ãģ§":135886,"ĠاÙĦÙĨÙģ":135887,"ĠاÙĦÙĨÙģØ·":135888,"ìŀĪëĬĶ":135889,"غÙĨÙĬ":135890,"פ×ĵ":135891,"ãĤ¾":135892,"ĠCré":135893,"ãģ©ãģ¡ãĤī":135894,"ثاÙĨ":135895,"ÑĢабаÑĤ":135896,"ÑĢабаÑĤÑĭва":135897,"Ġê°Ļëĭ¤":135898,"à¸Īั":135899,"à¸Īัà¸ģร":135900,"Ġchụ":135901,"Ġchụp":135902,"ĠмаÑģÑĤ":135903,"ĠмаÑģÑĤеÑĢ":135904,"Ġnắm":135905,"ĠÑģÑĤали":135906,"Ġ×Ķ×IJ×Ļר×ķ×¢":135907,"ãĤ½ãĥ³":135908,"åĪĨãģĭãĤĬ":135909,"طبع":135910,"بدا":135911,"gráfico":135912,"геÑĢ":135913,"à¸Ķำà¹Ģà¸Ļิà¸Ļà¸ģาร":135914,"Ġsaldır":135915,"Ġsaldırı":135916,"вÑĪиÑħ":135917,"ãģĭãģ£ãģŁãģ§ãģĻ":135918,"Ġyapıyor":135919,"ĠاÙĦÙģت":135920,"צרפת":135921,"здоÑĢов":135922,"×ij×¢×ľ":135923,"Ġ×IJ×ŀ×Ļת×Ļ":135924,"ĠобÑĭ":135925,"ĠобÑĭÑĩ":135926,"ĠобÑĭÑĩно":135927,"Ġ׾×ķ×ŀר":135928,"تÙĥÙĨ":135929,"تÙĥÙĨÙĪÙĦÙĪج":135930,"تÙĥÙĨÙĪÙĦÙĪجÙĬا":135931,"Ġhakkı":135932,"ĠÑĢав":135933,"ĠÑĢавно":135934,"رÙĬÙĥ":135935,"Ġ×ij×ŀ×Ļ×ĵ":135936,"Ġ×ij×ŀ×Ļ×ĵ×Ķ":135937,"à¹ģà¸ģà¹īว":135938,"Ġìĸĺ":135939,"Ġìĸĺ기":135940,"ãģĹãģ¦ãģĦãģ¾ãģĹãģŁ":135941,"Ġkısm":135942,"Ġkısmı":135943,"걸":135944,"åĨħãģ®":135945,"ì§ķ":135946,"à¹Ģหมืà¸Ńà¸Ļà¸ģัà¸Ļ":135947,"ĠÙģÙIJ":135948,"ĠÙģÙIJÙĬ":135949,"ÙĤاعدة":135950,"Ġmożesz":135951,"ÙħصاÙĦ":135952,"ÙħصاÙĦØŃ":135953,"ãģ¾ãģŁãģ¯":135954,"бег":135955,"Ġsıc":135956,"Ġsıcak":135957,"ÑĩиÑģ":135958,"ÑĩиÑģлен":135959,"Ġног":135960,"ãĥģãĥ£ãĥ³":135961,"ãĥ«ãĥī":135962,"Ġgió":135963,"Ġsını":135964,"Ġsınıf":135965,"иваÑĤÑĮ":135966,"Ġquên":135967,"Ġìłģ":135968,"Ġìłģìļ©":135969,"ĠJoão":135970,"Ùģاد":135971,"ĠGlück":135972,"à¸Ĺà¸Ńà¸Ķ":135973,"Ġgói":135974,"ï¼Ĭ":135975,"Ġdétail":135976,"ĠدÙĬسÙħ":135977,"ĠدÙĬسÙħبر":135978,"ë¡ľìĦľ":135979,"×ŀ×ķ×Ĺ":135980,"à¹Ħฮ":135981,"ĠоÑĤд":135982,"ĠоÑĤдÑĭÑħ":135983,"Ġkhuyến":135984,"à¸Ħà¸Ńย":135985,"ĠجÙĨÙĬ":135986,"ĠجÙĨÙĬÙĩ":135987,"ĠاÙĦدÙģاع":135988,"à¸Ļà¹īำหà¸Ļัà¸ģ":135989,"ĠìĤ¬ëŀĮëĵ¤ìĿ´":135990,"Ġthừa":135991,"ĠÃ¶ÄŁrenci":135992,"ĠпомоÑīи":135993,"ĠczÄĻÅĽÄĩ":135994,"ש×ĺר":135995,"ĠNhi":135996,"ĠNhiá»ģu":135997,"׳צ×Ļ":135998,"ĠнаÑĪем":135999,"ĠkarÅŁÄ±laÅŁ":136000,"Ġ×Ķש׳×Ļ×Ŀ":136001,"ĠÄIJÆ°á»Ŀng":136002,"Ġtrú":136003,"ĠÑĢазлиÑĩнÑĭÑħ":136004,"ĠاÙĦØ´Ùĩر":136005,"Ġ×ľ×¢×ķ׾×Ŀ":136006,"ØŃجر":136007,"ĠÄijá»ķ":136008,"ĠìĿĺíķ´":136009,"à¸ļà¹Īà¸Ńย":136010,"Ġ×Ķ×Ļ׾×ĵ":136011,"ãģ¨ãģªãģ£ãģŁ":136012,"Ġ×Ĺ×ķ×ķת":136013,"Ġש×Ļר×ķת×Ļ":136014,"Äħcy":136015,"سرÙĬ":136016,"KÄ°":136017,"פ׳×ķ":136018,"ÑģÑĤÑĢÑĥкÑĤÑĥÑĢ":136019,"ÑĤÑĢÑĥд":136020,"Ġ×Ķקר":136021,"Ġ×Ķקר×ķ×ij":136022,"ĠtháºŃm":136023,"èģŀãģį":136024,"ÙĤÙĪÙĬ":136025,"клÑİÑĩен":136026,"ÑĤеÑħ":136027,"ÑĤеÑħнолог":136028,"è¡Įãģ£ãģŁ":136029,"Ġ×ķ×IJ×Ļף":136030,"ĠÅŁeklin":136031,"ĠÅŁeklinde":136032,"rô":136033,"ÑĢог":136034,"ĠновÑĭе":136035,"Ġס×ij×Ļ×ij":136036,"ĠtecnologÃŃa":136037,"×¡×Ľ":136038,"×¡×Ľ×ķ×Ŀ":136039,"ĠÅŀub":136040,"ĠÅŀubat":136041,"Ġ×Ķ×ŀ׾×IJ":136042,"Ġwypos":136043,"Ġwyposaż":136044,"ãģ¯ä½ķ":136045,"ãĤ¬ãĥ³":136046,"ê°ĸ":136047,"Ġкакие":136048,"Ġçocuklar":136049,"Ġ׾צ×ĵ":136050,"Ġkayıt":136051,"ĠмеÑģÑĤе":136052,"ÙħدÙĬÙĨØ©":136053,"Ġ׼×Ĵ":136054,"Ġ׼×Ĵ×ķף":136055,"ãģĹãģ¦ãĤĭ":136056,"ĠÙħاÙĬÙĪ":136057,"ãģ£ãģ¦ãģĹãģ¾ãģ£ãģŁ":136058,"ĠпÑĢогÑĢаммÑĭ":136059,"à¹ģลà¸Ļà¸Ķà¹Į":136060,"ãĥ¯ãĤ¤":136061,"ער×ķ×¥":136062,"Ñģид":136063,"ĠBöyle":136064,"Ġì²ĺìĿĮ":136065,"Ġתפק×Ļ×ĵ":136066,"ĠTrên":136067,"íĥĪ":136068,"ĠÐłÐ¾ÑģÑģий":136069,"ĠÐłÐ¾ÑģÑģийÑģкой":136070,"ĠsÃłn":136071,"Ġrègle":136072,"ĠyaklaÅŁÄ±k":136073,"à¹Ģลิà¸ģ":136074,"ĠدائÙħ":136075,"Ġ×ķ×Ĵ":136076,"ابر":136077,"Ġbè":136078,"ĠاÙĦÙĤدÙħ":136079,"ĠÑĢеÑĪениÑı":136080,"hiên":136081,"ÑĤик":136082,"ÄĦ":136083,"à¸ļรรยาà¸ģ":136084,"à¸ļรรยาà¸ģาศ":136085,"רצ×ķף":136086,"åĭķãģį":136087,"ĠGäste":136088,"Ġ기본":136089,"ĠÙĬعرÙģ":136090,"ĠSá»Ń":136091,"gÅĤÄĻb":136092,"à¹Ģà¸Ńส":136093,"×IJ×ŀ×Ļף":136094,"ĠпÑĥнк":136095,"ĠпÑĥнкÑĤ":136096,"Ġ×Ļ×ķ×ĵ×¢×Ļ×Ŀ":136097,"ãĤ«ãĥ©ãĥ¼":136098,"Ġ×ijס×ĵר":136099,"Ġbuá»ĵn":136100,"йÑĤ":136101,"йÑĤеÑģÑĮ":136102,"ãĤĴæ±ĤãĤģ":136103,"Ġ×IJ×ª×Ľ×Ŀ":136104,"Ġ모르":136105,"ظرÙĪÙģ":136106,"ÑĩеÑģÑĤво":136107,"ìĸ´ìĦľ":136108,"Ġодна":136109,"Ġkapı":136110,"Ġëħ¸ëł¥":136111,"ĠKüche":136112,"ĠاÙĦتش":136113,"Ø·ÙĬب":136114,"ĠíĬ¹íŀĪ":136115,"ĠвÑĭпÑĥÑģ":136116,"ĠвÑĭпÑĥÑģк":136117,"×ĵת×Ļ":136118,"ĠuÄŁ":136119,"ĠuÄŁra":136120,"ائÙĩا":136121,"Ġthoát":136122,"ãģªãĤĤãģ®":136123,"ÑijÑĢ":136124,"기ê°Ģ":136125,"ĠgeliÅŁme":136126,"تØŃÙĤ":136127,"تØŃÙĤÙĤ":136128,"ĠопаÑģ":136129,"бÑĢоÑģ":136130,"หุ":136131,"หุà¹īà¸Ļ":136132,"ì¼Ģ":136133,"ãĤ¹ãĥŀ":136134,"ãĤ¹ãĥŀãĥĽ":136135,"Ø£Ùģر":136136,"Ø£Ùģراد":136137,"ĠThá»±c":136138,"Ġthắ":136139,"ãĥªãĥ³ãĤ¯":136140,"Ġniá»ģm":136141,"ĠHöhe":136142,"عÙħار":136143,"ÙĥÙĪرÙĪÙĨ":136144,"ÙĥÙĪرÙĪÙĨا":136145,"ĠÄIJến":136146,"ĠÑģамом":136147,"ĠÑĤеле":136148,"ĠÄijoán":136149,"à¸Ħวามà¸Ħิà¸Ķà¹Ģหà¹ĩà¸Ļ":136150,"ĠдиÑģк":136151,"أطÙģاÙĦ":136152,"มารà¹Į":136153,"à¸Ĺหาร":136154,"à¸Ĺà¸Ļ":136155,"ĠبعÙĬد":136156,"ĠاÙĦÙĩÙĨد":136157,"åĩºãģĹãģ¦":136158,"Ġkarde":136159,"ĠkardeÅŁ":136160,"×Ķ×Ļס×ĺ×ķר":136161,"×Ķ×Ļס×ĺ×ķר×Ļ×Ķ":136162,"éģ¸ãģ³":136163,"عاÙħÙĦ":136164,"à¸Ĥยาย":136165,"Ġtürl":136166,"Ġtürlü":136167,"ĠìĿ¼ìĿ´":136168,"Ġmatéria":136169,"Ġ׼׾×ķ×ŀר":136170,"ãĥģãĥ£ãĥ¼":136171,"جÙħاعة":136172,"ĠÑģвоим":136173,"Ø¥ÙĤاÙħØ©":136174,"ä¾ĭãģĪãģ°":136175,"ساب":136176,"آخر":136177,"ÙĤدÙĬر":136178,"×IJ×ŀ×Ļ":136179,"ìĸ»":136180,"Ġ׳×ķספת":136181,"ĠÐĴлад":136182,"ĠÐĴладим":136183,"ĠÐĴладимиÑĢ":136184,"Ġestará":136185,"ãģĵãģĨãģĦãģĨ":136186,"ãĤĴ使çĶ¨":136187,"มาà¸ķร":136188,"มาà¸ķรà¸IJาà¸Ļ":136189,"ãģ£ãģ½":136190,"Ġnú":136191,"Ġnúi":136192,"ยาà¸ĩ":136193,"ĠاÙĦجÙĨس":136194,"Ġüstün":136195,"ëľ»":136196,"ãĤ»ãĥ«":136197,"ãģ¦ãģĦãģįãģ¾ãģĻ":136198,"Ġ×Ĺ×ķ×ĸ":136199,"Ġ×Ĺ×ķ×ĸר":136200,"ĠÐĵлав":136201,"à¹Ĥà¸Ĭà¸Ħ":136202,"íıIJ":136203,"ÙĨتظر":136204,"Ġ×Ĵ×ij×Ļ":136205,"عÙĤب":136206,"intér":136207,"intérêt":136208,"×ŀפ×Ĵ":136209,"×ŀפ×Ĵש":136210,"Ġthù":136211,"اÙģت":136212,"Ġ×ŀשפ":136213,"Ġ×ŀשפ×ĺ×Ļ":136214,"ĠÙħÙĪاÙĤع":136215,"è¦ļ":136216,"è¦ļãģĪ":136217,"×ĵ×Ļף":136218,"à¹Ģรืà¹Īà¸Ńà¸ĩราว":136219,"ãģ¾ãģĤ":136220,"Ġghế":136221,"иÑĢÑĥÑİÑĤ":136222,"à¸ģว":136223,"à¸ģวà¹īาà¸ĩ":136224,"ĠповеÑĢ":136225,"ĠповеÑĢÑħ":136226,"ĠповеÑĢÑħноÑģÑĤ":136227,"׳×ĵר":136228,"ĠконÑĨе":136229,"Ġдолжна":136230,"Ġ×Ļש×Ļר":136231,"acaģız":136232,"ìĹĶ":136233,"ĠnÃŃvel":136234,"Ġör":136235,"Ġörnek":136236,"ÙĥÙģ":136237,"ĠФедеÑĢаÑĨии":136238,"Ġ구ìĦ±":136239,"หัวà¹ĥà¸Ī":136240,"ĠVáºŃy":136241,"мед":136242,"меди":136243,"медиÑĨин":136244,"медиÑĨинÑģк":136245,"ازÙĬ":136246,"×Ĵ×ij×ķ׾":136247,"ÑĦÑĢ":136248,"Ġzusätzlich":136249,"à¸ģà¸ģ":136250,"ĠاÙĦاÙĤتصادÙĬØ©":136251,"Ġhè":136252,"luÄŁun":136253,"جÙİ":136254,"à¹Ħà¸Łà¸¥à¹Į":136255,"ÄIJT":136256,"ãģĿãģ®ä»ĸ":136257,"à¸Ĺิà¹īà¸ĩ":136258,"ĠاÙĦØ£ÙĪ":136259,"رسÙħ":136260,"æ°Ĺãģ¥":136261,"ìĿ´ë©°":136262,"ÑĮев":136263,"صط":136264,"ĠاÙĦاستث":136265,"ĠاÙĦاستثÙħار":136266,"à¸Ńาà¸Ħาร":136267,"ĠÑĤоÑĩно":136268,"ĠVân":136269,"à¸Ńร":136270,"à¸Ńรà¹Īà¸Ńย":136271,"ĠاÙĦسÙĨØ©":136272,"ĠcÆ°á»Ľi":136273,"×Ļ×Ķף":136274,"íį¼":136275,"話ãģĹ":136276,"âĹĭ":136277,"ĠìķĬìĿĢ":136278,"ãĥ¡ãĥ¼ãĤ":136279,"ãĥ¡ãĥ¼ãĤ«":136280,"ãĥ¡ãĥ¼ãĤ«ãĥ¼":136281,"ĠÑĤепло":136282,"å½¼ãĤī":136283,"ĠÄ°z":136284,"ĠÄ°zmir":136285,"íĻį":136286,"Ġrượ":136287,"Ġrượu":136288,"æĢĿãģĦåĩº":136289,"ĠPhạm":136290,"Ġcháu":136291,"צ×Ļ×ķת":136292,"ĠìĿ¼ë³¸":136293,"ìĤ¬ëĬĶ":136294,"ĠÑģоздан":136295,"Ġaracı":136296,"Ġער":136297,"Ġער×Ļ׼×Ķ":136298,"ĠíķĺëĤĺëĭĺìĿĺ":136299,"dziÅĤ":136300,"à¸Ľà¸£à¸°à¸ĺาà¸Ļ":136301,"ĠserÃŃa":136302,"ĠìŀĪëıĦë¡Ŀ":136303,"درج":136304,"íķľëĭ¤ëĬĶ":136305,"à¸Ńาà¸Ĺ":136306,"à¸Ńาà¸Ĺิà¸ķ":136307,"à¸Ńาà¸Ĺิà¸ķยà¹Į":136308,"ÑĤелÑĮнÑĭй":136309,"ĠخدÙħات":136310,"×ŀ׳×ĺ":136311,"Ġlược":136312,"ĠSÃłi":136313,"ĠÙĪاض":136314,"ĠÙĪاضØŃ":136315,"غاز":136316,"ĠdoÄŁal":136317,"Ġ×ijש×Ŀ":136318,"Ġдлин":136319,"Ġإطار":136320,"Ġ×ijספר":136321,"ãĤĴä¸İ":136322,"ãĤĴä¸İãģĪ":136323,"Ġë²ķë¥ł":136324,"ĠÑĥвели":136325,"ĠÑĥвелиÑĩи":136326,"สà¹Ħà¸ķ":136327,"สà¹Ħà¸ķลà¹Į":136328,"à¹Ħà¸ģล":136329,"×ij×Ĺף":136330,"ĠìĿ´íĽĦ":136331,"Ġmunic":136332,"ĠmunicÃŃpio":136333,"تÙħØ«ÙĦ":136334,"ĠÄijáo":136335,"Hôtel":136336,"Ġlá»Ńa":136337,"ĠÄijẳng":136338,"Ñĩки":136339,"شرÙĪ":136340,"شرÙĪØ·":136341,"ĠìĿ´ë¥¼":136342,"ÙĬÙĭا":136343,"×ŀ׾×ļ":136344,"×ŀ×Ķ×Ļר×ķת":136345,"ĠобÑıзаÑĤелÑĮ":136346,"ĠобÑıзаÑĤелÑĮно":136347,"énergie":136348,"Ġmudança":136349,"Ġmụ":136350,"Ġmụn":136351,"Ġnº":136352,"ĠاÙĦتعا":136353,"ĠاÙĦتعاÙĪÙĨ":136354,"ĠاÙĦاجتÙħاعÙĬØ©":136355,"ĠплаÑģÑĤ":136356,"Ġëĵ±ìĿĺ":136357,"ãĥIJãĤ¤ãĤ¯":136358,"ÙĩجÙĪÙħ":136359,"ĠSaúde":136360,"Ġì¤ijìļĶíķľ":136361,"Ġ×Ķצ×Ļ×ij×ķר":136362,"×ª×§×Ł":136363,"ĠاÙĦعاÙĦÙħÙĬ":136364,"ĠболÑĮÑĪой":136365,"ĠÙĥÙĦÙħ":136366,"ĠÙĥÙĦÙħØ©":136367,"ãģ®ãģ§ãģ¯ãģªãģĦãģ§ãģĹãĤĩãģĨãģĭ":136368,"ĠÙħباراة":136369,"Ġש×IJ׳":136370,"Ġש×IJ׳×Ĺ׳×ķ":136371,"ãĤ¹ãĤ¿ãĤ¤ãĥ«":136372,"ĠSaÄŁ":136373,"ĠSaÄŁlık":136374,"ĠhÆ°":136375,"׳×Ĺ×Ķ":136376,"Ġ×ijקר×ij":136377,"طعÙħ":136378,"หิà¸Ļ":136379,"à¸Ĺุà¸ģวัà¸Ļ":136380,"à¸Ħรัà¹īà¸ĩà¸Ĺีà¹Ī":136381,"ĠlÃłnh":136382,"Ġdonné":136383,"ãģĽãģĦ":136384,"جزÙĬرة":136385,"доÑĢож":136386,"ì¼ľ":136387,"تÙĨظÙĬÙģ":136388,"ãĥģãĥ§":136389,"Ġaldıģı":136390,"جاج":136391,"ĠÑĤомÑĥ":136392,"à¸Ľà¸´":136393,"Ġ×ijרשת":136394,"ãģıãģªãĤĬãģ¾ãģĻ":136395,"ĠпÑĢинÑĨип":136396,"Ġ×Ĺ׾×ķ":136397,"ëı¼":136398,"×ķ×Ĵש":136399,"سس":136400,"à¸Ľà¸¹":136401,"Ġhầu":136402,"æĦŁãģĺãĤĭ":136403,"ï¼´":136404,"دÙĪا":136405,"ĠÑģмог":136406,"scrição":136407,"ĠtháºŃn":136408,"Ġר×ķ×IJ×Ķ":136409,"обÑĢажен":136410,"ĠاÙĦتجارÙĬØ©":136411,"طبÙĬع":136412,"jÄħcÄħ":136413,"íĸīìľĦ":136414,"ĠновÑĭй":136415,"Ġ×ŀ×Ĺ×ĵש":136416,"æĮ¯ãĤĬ":136417,"gué":136418,"Ġ×IJ×Ļר×ķ×¢":136419,"Ġ×IJ×Ļר×ķ×¢×Ļ×Ŀ":136420,"ĠاÙĦØ°Ùĩب":136421,"×ĵ×IJ":136422,"تاÙĨ":136423,"ãģłãģĹ":136424,"à¸Ńัà¸ķรา":136425,"à¹Ĥà¸Ī":136426,"بÙĦاد":136427,"×Ķ×Ļ×Ļ׳×ķ":136428,"ĠÑģпе":136429,"ĠÑģпеÑĨиалÑĮно":136430,"ĠÅĽwiata":136431,"ãĤĵãģ§ãģĻãĤĪ":136432,"شرÙĥØ©":136433,"ĠpÅĤyt":136434,"Ġsitué":136435,"Ġ׼×IJ׾×Ķ":136436,"ס×ijר":136437,"Ġkażd":136438,"Ġkażdym":136439,"ãĤĴæĮģãģ¤":136440,"׾×Ķ׾":136441,"׾×Ķ׾ף":136442,"ĠwÅĤas":136443,"ĠwÅĤasne":136444,"ĠsaÄŁlan":136445,"×ŀ×¢×ľ×Ķ":136446,"ĠاÙĦاÙĪÙĦ":136447,"ìĹIJìĦľëıĦ":136448,"×IJ×Ļר×ķפ×Ķ":136449,"تÙĤÙĨÙĬØ©":136450,"Ùħائ":136451,"Ùħائة":136452,"ĠcompañÃŃa":136453,"Ġsürek":136454,"Ġsürekli":136455,"ĠиÑģкÑĥÑģ":136456,"ĠиÑģкÑĥÑģÑģÑĤв":136457,"ĠBürger":136458,"ת×Ĺר":136459,"ת×Ĺר×ķת":136460,"à¸ŀรà¹īà¸Ńมà¸ģัà¸ļ":136461,"Ø´Ùħ":136462,"à¸ĸืà¸Ńวà¹Īา":136463,"è¾¼ãĤĢ":136464,"ä¼ijãģ¿":136465,"ĠاÙĦأب":136466,"ĠÑģÑĤоимоÑģÑĤÑĮ":136467,"ĠпÑĢава":136468,"mayın":136469,"หวย":136470,"ĠاÙĦطبÙĬعÙĬ":136471,"à¸Ĺีà¹Īà¸ŀัà¸ģ":136472,"ĠEstá":136473,"ÑĭваÑİÑĤ":136474,"بسÙĬ":136475,"بسÙĬØ·":136476,"Ġ×ij×¢×ijר":136477,"åı¯èĥ½ãģ§ãģĻ":136478,"Ġ×ĵ×ķ׾":136479,"Ġ×ĵ×ķ׾ר":136480,"ÙĩÙİا":136481,"воÑĢоÑĤ":136482,"ãģ¦ãģĦãģ¾ãģĹãģŁ":136483,"à¹Ĥà¸Ĺรศ":136484,"à¹Ĥà¸Ĺรศั":136485,"à¹Ĥà¸Ĺรศัà¸ŀ":136486,"à¹Ĥà¸Ĺรศัà¸ŀà¸Ĺà¹Į":136487,"Ġק׳":136488,"ĠاÙĦØ«ÙĨ":136489,"ĠاÙĦØ«ÙĨائÙĬØ©":136490,"Ġcoût":136491,"à¸ķิà¸Ķà¸ķัà¹īà¸ĩ":136492,"Ġörg":136493,"Ġörgüt":136494,"ĠاÙĦØ®ÙĦÙĬ":136495,"ĠاÙĦØ®ÙĦÙĬج":136496,"Ġbá»įn":136497,"×ķ׾×ķ×Ĵ×Ļ":136498,"ëŀľ":136499,"ĠÐijолÑĮ":136500,"ĠÐijолÑĮÑĪ":136501,"×Ĵ×ijר×Ļ×Ŀ":136502,"ÙĤÙĬد":136503,"×ij×Ļ×ĺ×ķ×Ļ":136504,"æīĵãģ¡":136505,"ĠolmuÅŁ":136506,"fäh":136507,"fähig":136508,"ลาà¸Ļ":136509,"ĠÙĤطر":136510,"שפ×Ķ":136511,"èªŃãĤĵãģ§":136512,"à¸Ĥวา":136513,"Ġchiếm":136514,"ãĤ¤ãĥ³ãĤ¿":136515,"ãĤ¤ãĥ³ãĤ¿ãĥ¼ãĥ":136516,"ãĤ¤ãĥ³ãĤ¿ãĥ¼ãĥį":136517,"ãĤ¤ãĥ³ãĤ¿ãĥ¼ãĥįãĥĥãĥĪ":136518,"Ġ׾ש×ŀ×ķר":136519,"ĠترÙĥ":136520,"ĠترÙĥÙĬا":136521,"ר×ķ×ĺ":136522,"ãģ¨æĢĿãģĦãģ¾ãģĹãģŁ":136523,"ĠاÙĦتÙĤ":136524,"ĠdÆ°":136525,"ãģ¦ãģıãĤĮãĤĭ":136526,"ãģĹãģŁãģĵãģ¨":136527,"Ġróżne":136528,"ĠاÙĦØ·ÙģÙĦ":136529,"ĠPosté":136530,"Ġ×ŀש×ķ×Ŀ":136531,"ÑįÑĢ":136532,"ĠÑĢабоÑĤаеÑĤ":136533,"ãĤ·ãĥª":136534,"ãĤ·ãĥªãĥ¼ãĤº":136535,"Ġ×ij×Ķ×Ĺ׾×ĺ":136536,"ק×Ķ×Ļ׾×Ķ":136537,"ãĤ«ãĥ¡":136538,"ãĤ«ãĥ¡ãĥ©":136539,"Ｏ":136540,"ĠìĤ¬ìĿ´":136541,"Ġkì":136542,"ĠthÆ°á»Ľc":136543,"ضبط":136544,"ÙĤبÙĪÙĦ":136545,"åĪ¥ãģ®":136546,"Ġparticulière":136547,"ĠÑģвоем":136548,"Ġעסק":136549,"Ġעסק×Ļ×Ŀ":136550,"×ij×Ĺ×Ļר×ķת":136551,"×ij×Ļ׳×ķ":136552,"à¸ĭà¸Ń":136553,"Ġ×¢×ķ×ijר":136554,"ãģłãģ£ãģŁãģ®ãģ§":136555,"ıldıģı":136556,"Ùħدار":136557,"Ùħدارس":136558,"주ìĭľ":136559,"à¸Ńาศ":136560,"à¸Ńาศัย":136561,"Ġtấm":136562,"à¸ŀิà¸Ī":136563,"à¸ŀิà¸Īาร":136564,"à¸ŀิà¸Īารà¸ĵา":136565,"ÑĤелÑĮнÑĭе":136566,"ÑģкÑĥÑİ":136567,"ÐľÐĺ":136568,"à¹Ģà¸ģา":136569,"à¹Ģà¸ģาหล":136570,"à¹Ģà¸ģาหลี":136571,"×ĵ×Ĺ":136572,"à¹Ģà¸Ĭิà¸ĩ":136573,"ĠدÙĤÙĬÙĤØ©":136574,"íķĻìĥĿ":136575,"Ġש×IJ׾×Ķ":136576,"Ġcontrôle":136577,"Ġsituação":136578,"à¸Ĥà¸Ńà¸ĩà¸ľà¸¹à¹ī":136579,"ÙĨØ·ÙĤ":136580,"ê³¼íķĻ":136581,"หลายà¸Ħà¸Ļ":136582,"Ġnắng":136583,"ÙĤÙı":136584,"ì¡°ê±´":136585,"Ñķ":136586,"ãĥĥãģ¨":136587,"×ŀ×Ļ׾×Ķ":136588,"Grün":136589,"×Ļ×Ļ×¢":136590,"×Ļ×Ļ×¢×ķ×¥":136591,"×ŀ׳׼":136592,"ëŃIJ":136593,"×ŀ×¢×ŀ×ĵ":136594,"สำà¸Ļัà¸ģ":136595,"جدد":136596,"à¸Ħัà¸Ķ":136597,"Ġ×Ķ×ŀשפ":136598,"Ġ×Ķ×ŀשפ×Ĺ×Ķ":136599,"×ŀשק׾":136600,"ÙĦÙı":136601,"Ġtytu":136602,"ĠtytuÅĤ":136603,"ÑĪей":136604,"ĠìĿ¼ë¶Ģ":136605,"ÑĪение":136606,"Ġphóng":136607,"ĠìĹŃìĤ¬":136608,"ãĤ«ãĥ³":136609,"Ġtúi":136610,"ĠÙĨÙĪÙģ":136611,"ĠÙĨÙĪÙģÙħبر":136612,"grün":136613,"ĠاÙĦØ´ÙħاÙĦ":136614,"ÅĽwiadc":136615,"ÅĽwiadczenie":136616,"ער×Ķ":136617,"Ġ×¢×ķ×ij":136618,"Ġ×¢×ķ×ij×ĵ×Ļ×Ŀ":136619,"×ĵ×ķ×Ĵ×ŀ×IJ":136620,"ä»Ĭãģ¯":136621,"Ġvão":136622,"ĠТем":136623,"ÑģилÑĮ":136624,"Ġchợ":136625,"Ùħرا":136626,"ÙħراÙĤب":136627,"à¹Ħมà¹Īรูà¹ī":136628,"Ġرائع":136629,"×IJ׳×Ĺ׳×ķ":136630,"สà¹Īà¸ĩà¹Ģสริม":136631,"צ×Ĺ":136632,"ĠìŀĪìĸ´ìĦľ":136633,"Ġkurulu":136634,"ĠkuruluÅŁ":136635,"ĠÃĸzellik":136636,"ĠÃĸzellikle":136637,"Ġת×Ļק":136638,"Ġghé":136639,"ĠsprzÄĻ":136640,"ĠsprzÄĻt":136641,"ער×ķת":136642,"راØŃØ©":136643,"ãģ£ãģį":136644,"ãģ£ãģįãĤĬ":136645,"ĠìķĦëŀĺ":136646,"stituição":136647,"Ġдолжно":136648,"×Ķרש":136649,"×Ķרש×ŀ×Ķ":136650,"×Ķ׾×ļ":136651,"ãģ¡ãģª":136652,"ãģ¡ãģªãģ¿":136653,"ãģ¡ãģªãģ¿ãģ«":136654,"פ×Ĺ×ĵ":136655,"ĠاÙĦجÙħÙĬع":136656,"×ij×¢×ľ×Ļ":136657,"Ġtrùng":136658,"Ġפת×Ĺ":136659,"×ŀ׾×Ĺ×ŀת":136660,"ãĥĨãĥ¼ãĥ":136661,"ãĥĨãĥ¼ãĥŀ":136662,"Ùħتاب":136663,"Ùħتابعة":136664,"Ġ모ìĬµ":136665,"ÙĬص":136666,"åIJĪãģĨ":136667,"ĠYap":136668,"ĠYapı":136669,"ĠÑģказаÑĤÑĮ":136670,"몰":136671,"à¸Ĺีà¹Īสำà¸Ħัà¸į":136672,"ĠìĹĨìĬµëĭĪëĭ¤":136673,"Ġnhắc":136674,"Ġülkeler":136675,"Ġмногие":136676,"íķĺìħ¨":136677,"มาà¸ģà¸Ĺีà¹Īสุà¸Ķ":136678,"à¸ģà¹īา":136679,"à¸ģà¹īาว":136680,"ĠÄ°yi":136681,"леж":136682,"лежа":136683,"ãĤ¸ãĥ§":136684,"à¸Ĺัà¸ŀ":136685,"اÙĪر":136686,"Ġ×Ĺ×ijר×Ļ":136687,"Ġ׾ש×Ŀ":136688,"첫":136689,"ĠTá»Ń":136690,"×ŀ×ķ׳×Ļ":136691,"ÙĤÙĪد":136692,"à¸ģระà¹Ģà¸Ľ":136693,"à¸ģระà¹Ģà¸Ľà¹ĭ":136694,"à¸ģระà¹Ģà¸Ľà¹ĭา":136695,"ĠпÑĢоблемÑĭ":136696,"Ġaçıs":136697,"Ġaçısından":136698,"Ġ×Ķ×ŀ׼":136699,"ĠÙħعظÙħ":136700,"ÙĤÙĬاس":136701,"ĠпÑĢодолж":136702,"ĠпÑĢодолжа":136703,"ĠverdiÄŁi":136704,"ĠпÑĢедмеÑĤ":136705,"ãģĦãģ¾ãģĻãģĮ":136706,"ĠëĶ°ë¥¸":136707,"ĠاÙĦÙĤÙĬاÙħ":136708,"ĠØ¥ÙĦÙĬÙĩا":136709,"ТÐIJ":136710,"поз":136711,"ãĤ·ãĥ¥":136712,"ä¸ĬãģĮãĤĬ":136713,"à¹Ģà¸Ķิมà¸ŀัà¸Ļ":136714,"à¸ģุล":136715,"ØŃرÙĬØ©":136716,"ק×ij×ķצ×ķת":136717,"믿":136718,"ĠاÙĦÙħÙĨا":136719,"ĠاÙĦÙħÙĨاطÙĤ":136720,"ĠвÑĭпол":136721,"ĠвÑĭполнÑı":136722,"ãĥĭãĤ¢":136723,"Ġê²°êµŃ":136724,"×Ĺ×ķ×ŀ":136725,"×Ĺ×ķ×ŀר×Ļ×Ŀ":136726,"ĠУкÑĢаинÑĭ":136727,"หà¸Ńม":136728,"ר×Ļס":136729,"ĠÑħоÑĤел":136730,"ĠобÑĢазованиÑı":136731,"Ġkhẳng":136732,"ĠmÆ°a":136733,"Ġgörme":136734,"Ġgüçlü":136735,"سعÙī":136736,"มัà¹Īà¸Ļà¹ĥà¸Ī":136737,"íķĺê²łìĬµëĭĪëĭ¤":136738,"ĠполÑĥ":136739,"Ġfünf":136740,"ãģ¨æĢĿãģ£ãģ¦ãģĦãģ¾ãģĻ":136741,"Ġê·¸ê²ĥìĿĢ":136742,"ĠdÃ¼ÅŁÃ¼nce":136743,"ìŀł":136744,"ĠHÆ°á»Ľng":136745,"ĠTiá»ĥu":136746,"Ġçift":136747,"ãģijãģ°":136748,"à¸Īà¸Ļà¸ĸึà¸ĩ":136749,"à¸Ĺำà¹Ħà¸Ķà¹ī":136750,"ĠìŀIJì²´":136751,"Ġdõ":136752,"Ġdõi":136753,"à¸Īัà¸Ļ":136754,"à¸Īัà¸Ļà¸Ĺ":136755,"à¸Īัà¸Ļà¸Ĺรà¹Į":136756,"eceÄŁini":136757,"׳×ķער":136758,"غار":136759,"ĠاÙĦØ£ÙħرÙĬÙĥÙĬ":136760,"داعش":136761,"ĠбезопаÑģноÑģÑĤи":136762,"ĠбÑİ":136763,"ĠбÑİдж":136764,"ĠбÑİджеÑĤ":136765,"ãĥĬãĤ¤":136766,"à¸ŀà¸ļวà¹Īา":136767,"daÄŁ":136768,"×IJ×ķפף":136769,"íĹĮ":136770,"ãĥĢãĤ¤ãĤ¨":136771,"ãĥĢãĤ¤ãĤ¨ãĥĥãĥĪ":136772,"ĠëĮĢíĨµ":136773,"ĠëĮĢíĨµëł¹":136774,"DÄ°":136775,"Ø£ØŃداث":136776,"ĠAÄŁ":136777,"ĠAÄŁust":136778,"ĠAÄŁustos":136779,"ØŃÙĦÙĪÙĦ":136780,"ĠwÅĽ":136781,"ĠwÅĽród":136782,"ĠÑģооÑĤвеÑĤ":136783,"ĠÑģооÑĤвеÑĤÑģÑĤв":136784,"ĠÑģооÑĤвеÑĤÑģÑĤвии":136785,"ĠLuáºŃt":136786,"Ġ׼׾פ×Ļ":136787,"ĠвеÑī":136788,"ĠвеÑīеÑģÑĤв":136789,"ק×Ļ×¥":136790,"ĠبÙĩذا":136791,"عاش":136792,"à¹Ģà¸Ľà¹ĩà¸Ļà¹Ģรืà¹Īà¸Ńà¸ĩ":136793,"ТÐķ":136794,"Ġ×ij×IJ×Ļ׳×ĺר׳×ĺ":136795,"سعد":136796,"Ġ×Ķ×ĺ×Ļפ×ķ׾":136797,"פ×Ļס":136798,"à¸ĩà¹Īายà¹Ĩ":136799,"ĠGerät":136800,"׾×Ļ×ĵ×Ķ":136801,"ĠÑĢиÑģк":136802,"׾ק×Ĺ":136803,"ннаÑı":136804,"ר×Ļ×ĵ":136805,"пÑĢакÑĤи":136806,"пÑĢакÑĤик":136807,"à¸Ĥัà¹īà¸Ļà¸ķà¸Ńà¸Ļ":136808,"à¸Ļà¹Īารัà¸ģ":136809,"larınızı":136810,"à¸Ńà¸Ļุà¸įา":136811,"à¸Ńà¸Ļุà¸įาà¸ķ":136812,"ĠzdjÄĻcia":136813,"Ġbây":136814,"ÑģÑĢ":136815,"ÑģÑĢоÑĩ":136816,"ãĥĭãĥ³ãĤ°":136817,"Ġöner":136818,"Ġöneri":136819,"ĠновÑĭÑħ":136820,"دعÙĪØ©":136821,"Ġgắn":136822,"ĠاÙĦÙĦبÙĨ":136823,"ĠاÙĦÙĦبÙĨاÙĨÙĬ":136824,"ãĥĨãĤ£ãĥ¼":136825,"ĠصØŃÙĬØŃ":136826,"емÑĭÑħ":136827,"çĸ²ãĤĮ":136828,"ĠпÑĢоиÑģ":136829,"ĠпÑĢоиÑģÑħодиÑĤ":136830,"สà¸ķิ":136831,"ĠTết":136832,"Ġ×Ķ׾׾×ķ":136833,"à¹Ģรืà¹Īà¸Ńà¸ĩà¸Ļีà¹ī":136834,"×ŀ×ij׳×Ķ":136835,"Ġconteúdo":136836,"Ġاخت":136837,"ĠاختÙĬار":136838,"ÙħسÙĦ":136839,"ÙħسÙĦسÙĦ":136840,"ëıĪ":136841,"Ġ׾×Ļ×ĵ":136842,"à¸ŀิà¸ĺี":136843,"ĠÑģовÑģ":136844,"ĠÑģовÑģем":136845,"ãģĮãģĤãĤĬãģ¾ãģĹãģŁ":136846,"Ġsóng":136847,"إصÙĦاØŃ":136848,"ë§ģ":136849,"ÙģÙĬر":136850,"ĠJeżeli":136851,"ìłľëıĦ":136852,"dÅĤug":136853,"ìĥģìĿĦ":136854,"ĠcáºŃn":136855,"Ġhá»įp":136856,"أست":136857,"أستاذ":136858,"Ġ×ŀ×Ļש×Ķ":136859,"Ġ×ŀ×Ļש×Ķ×ķ":136860,"ĠdÃły":136861,"ĠchÃłng":136862,"ãģ¡ãĤĥãĤĵãģ¨":136863,"ĠÄijám":136864,"Ġswój":136865,"Ġpoderá":136866,"ĠоÑĤлиÑĩа":136867,"Ġpériode":136868,"ündig":136869,"×ĺ×¢×Ł":136870,"ÑģÑĤÑĢоиÑĤелÑĮ":136871,"רת×Ļ":136872,"Ġ×Ļ×Ķ×Ļ×ķ":136873,"×ľ×¡":136874,"ĠاÙĦÙħÙĨزÙĦ":136875,"à¸Ļิà¹īว":136876,"иÑĦика":136877,"иÑĦикаÑĨи":136878,"ðŁĺī":136879,"Ġadına":136880,"ãĢĤãĢĤãĢĤ":136881,"×IJ×Ļף":136882,"ס×Ļר":136883,"ĠÙĬعد":136884,"çŃĶãģĪ":136885,"اÙĦجز":136886,"اÙĦجزائر":136887,"енÑĮк":136888,"รห":136889,"รหัส":136890,"ĠTürkçe":136891,"꾸":136892,"Ġ×Ļ×ķ׼׾":136893,"Ġש×ķ׳×Ķ":136894,"Ġ×ij×ŀצ×ij":136895,"ĠдейÑģÑĤвиÑĤелÑĮно":136896,"ĠبأÙĨÙĩ":136897,"×ŀק×ĵ":136898,"Ġ×Ķשק":136899,"Ø®ÙĬارات":136900,"Ġfı":136901,"Ġfırs":136902,"Ġfırsat":136903,"ëijĺ":136904,"ĠìĦľìļ¸":136905,"Ġ×Ķ×Ĵ×ķ×£":136906,"رعا":136907,"رعاÙĬØ©":136908,"ĠKết":136909,"кÑģи":136910,"ĠÑĥÑģлÑĥги":136911,"ноÑģÑĤей":136912,"ìļ´ëıĻ":136913,"ĠобÑĬÑı":136914,"ĠобÑĬÑıвл":136915,"неж":136916,"×Ķפ×ļ":136917,"Ġ×ij×¢×Ļ׳×Ļ":136918,"ëĨĴ":136919,"ĠпÑĢоÑĨед":136920,"ĠпÑĢоÑĨедÑĥÑĢ":136921,"Ġihtiy":136922,"Ġihtiyacı":136923,"Ġë°Ķëŀį":136924,"Ġë°ĶëŀįëĭĪëĭ¤":136925,"à¸ģลัว":136926,"ĠÑģложно":136927,"ק×Ļ×Ļ×ŀת":136928,"ĠÄIJình":136929,"ĠÙħÙĦÙģ":136930,"Ġà¹Ĥà¸Ķยมี":136931,"Ġkatkı":136932,"تØŃÙĪÙĬÙĦ":136933,"à¹Ħà¸ŀ":136934,"ĠHá»į":136935,"ñe":136936,"ĠдоÑħод":136937,"Ġthoải":136938,"íķĺìŬìķ¼":136939,"ãĤ¹ãĥĿãĥ¼ãĥ":136940,"ãĤ¹ãĥĿãĥ¼ãĥĦ":136941,"ĠGòn":136942,"Ġkè":136943,"Ġkèm":136944,"éĢ²ãĤģ":136945,"ãĤ¹ãĥ¼ãĥ":136946,"ãĤ¹ãĥ¼ãĥij":136947,"ãĤ¹ãĥ¼ãĥijãĥ¼":136948,"ĠgiÃłu":136949,"Ġإعادة":136950,"Ġ׾×ķק":136951,"Ġ׾×ķק×Ĺ":136952,"ĠÑħоÑĩеÑĤ":136953,"×ĺ׾×ķ×ķ":136954,"×ĺ׾×ķ×ķ×Ļ×ĸ":136955,"×ĺ׾×ķ×ķ×Ļ×ĸ×Ļ×Ķ":136956,"Ġthuyết":136957,"ãģĿãĤĮãģ§":136958,"Ġvardı":136959,"à¹Ħรà¹ī":136960,"عبد":136961,"ĠRepública":136962,"ãĥ¼ãĤ¿ãĥ¼":136963,"Ġ×ŀ×IJ×ķת":136964,"à¹Ħà¸Ľà¹ģลà¹īว":136965,"Ġyapılacak":136966,"ãĤ¹ãĤ¿ãĥ¼ãĥĪ":136967,"ãģ»ãģ¼":136968,"ĠkoÅŁ":136969,"ĠмаÑĤеÑĢи":136970,"Ġsiècle":136971,"ĠاÙĦÙħختÙĦÙģ":136972,"ĠاÙĦÙħختÙĦÙģØ©":136973,"Ġ׾קר×IJ":136974,"Ġ׾קר×IJת":136975,"Ġ×Ķפ×ķ×¢×ľ":136976,"Ġtòa":136977,"ĠrÆ¡i":136978,"åij¨ãĤĬ":136979,"à¸Ŀà¸Ļ":136980,"jÅĽÄĩ":136981,"ĠìķĬìĿĦ":136982,"اÙĨتÙĤاÙĦ":136983,"ëĸł":136984,"иваеÑĤ":136985,"ãĥĪãĥ«":136986,"ĠاÙĦÙģÙĦسطÙĬÙĨÙĬØ©":136987,"à¸ģลà¹Īาววà¹Īา":136988,"اÙĥت":136989,"ĠÃĸl":136990,"ĠÑĢеÑĪи":136991,"ĠÑĢеÑĪил":136992,"Ġ׳×ķספ×ķת":136993,"Ġìłķì¹ĺ":136994,"влеÑĩен":136995,"ÙħرØŃÙĦØ©":136996,"Ġcomeça":136997,"Ġyık":136998,"ìĤ´":136999,"à¸ĺà¸Ļา":137000,"à¸ĺà¸Ļาà¸Ħาร":137001,"à¸Ńà¸Ļา":137002,"à¸Ńà¸Ļาà¸Ħ":137003,"à¸Ńà¸Ļาà¸Ħà¸ķ":137004,"Ġpequeña":137005,"ä»ķäºĭãĤĴ":137006,"ĠبذÙĦÙĥ":137007,"Ġнового":137008,"ãģĹãģ¦ãģĦãģªãģĦ":137009,"ĠاÙĦÙħÙĬاÙĩ":137010,"à¸ģà¹ĩà¹Ģà¸Ľà¹ĩà¸Ļ":137011,"ĠжÑĥÑĢ":137012,"ĠжÑĥÑĢнал":137013,"веÑģ":137014,"ختار":137015,"Ġ매ìļ°":137016,"ĠMã":137017,"ĠавÑĤомаÑĤÑĭ":137018,"ضعÙģ":137019,"ĠاÙĦÙģÙĥر":137020,"ãģ§ãģĻãģ®ãģ§":137021,"ãĥ¡ãĥ³ãĥIJãĥ¼":137022,"ĠкÑĢÑĥг":137023,"ĠاÙĦسÙĦطة":137024,"à¸Ħรัà¹īà¸ĩà¹ģรà¸ģ":137025,"à¸ģระà¸Ĺรว":137026,"à¸ģระà¸Ĺรวà¸ĩ":137027,"ÑĨов":137028,"éķ·ãģĦ":137029,"大ãģįãģĦ":137030,"ĠgeçmiÅŁ":137031,"ìĦ±ìĿ´":137032,"Ġצר×Ļ׼×Ķ":137033,"ĠмоÑī":137034,"ĠмоÑīн":137035,"Ġק×Ļש":137036,"Ġק×Ļש×ķר×Ļ×Ŀ":137037,"ĠNasıl":137038,"гÑĢан":137039,"Ġ×ŀ×ķצר×Ļ×Ŀ":137040,"Ġ×ŀס×ķ×Ĵ":137041,"Ġyür":137042,"Ġyürüt":137043,"Ġ׾×Ĺצ×ķ":137044,"×ķÖ¼":137045,"ĠìŀĪìĹĪëĭ¤":137046,"Ġterör":137047,"ĠThÆ°Æ¡ng":137048,"ĠÙĪÙĬÙħ":137049,"ĠÙĪÙĬÙħÙĥÙĨ":137050,"جÙĪÙĨ":137051,"ĠÙĪغÙĬرÙĩا":137052,"×ŀפ×ķ":137053,"×Ĵ×ķר×ŀ×Ļ×Ŀ":137054,"׼×ij×Ļש":137055,"ĠاÙĦÙĦغ":137056,"ĠاÙĦÙĦغة":137057,"شرÙĥ":137058,"ĠاÙĦراب":137059,"ĠاÙĦرابع":137060,"ĠпÑĢек":137061,"ĠпÑĢекÑĢаÑģ":137062,"ĠпÑĢекÑĢаÑģн":137063,"ĠenergÃŃa":137064,"ק×ĵ×ŀ×Ļ":137065,"ãģıãģªãģ£ãģŁ":137066,"ĠÄijứ":137067,"ĠÄijứa":137068,"Servi":137069,"Serviço":137070,"Ġkaldır":137071,"åĥįãģį":137072,"Ġодеж":137073,"Ġодежд":137074,"물ìĿĦ":137075,"ãģĿãģĨãģ§":137076,"ãģĮãģĤãĤĮãģ°":137077,"ìĻķ":137078,"צ×ĵק":137079,"Ġartır":137080,"Ġileti":137081,"ĠiletiÅŁim":137082,"ãĤĪãģĨãģ§":137083,"ãĥĪãĥ¼":137084,"ãĤ¢ãĥĭ":137085,"ãĤ¢ãĥĭãĥ¡":137086,"×ĺ×Ļ×Ļ׾":137087,"ãĥķãĥªãĥ¼":137088,"ãĥĿãĥ³":137089,"ÐŁÑĢо":137090,"ĠعاÙĦÙĬØ©":137091,"ĠÃ¶ÄŁret":137092,"ĠÃ¶ÄŁretmen":137093,"ĠкаÑĩеÑģÑĤва":137094,"Ġ×Ķ×ĺ×ij×¢":137095,"ĠзнаÑİ":137096,"ãģ¦ãģıãĤĭ":137097,"Ġmừng":137098,"ÙħÙĪت":137099,"ש×ķ×ŀר":137100,"×Ĺ׾×ij":137101,"ĠwzglÄĻ":137102,"ĠwzglÄĻdu":137103,"ë²Ī째":137104,"Ġtá»ĵ":137105,"Ġtá»ĵn":137106,"ãĥ¯ãĥ¼ãĤ¯":137107,"Ġpożycz":137108,"Ġpożyczk":137109,"×Ļ×ķצר×Ļ×Ŀ":137110,"ÙĥرÙħ":137111,"ĠгаÑĢ":137112,"ĠгаÑĢан":137113,"ĠгаÑĢанÑĤи":137114,"ลà¹īาà¸ĩ":137115,"ĠìĺģíĻĶ":137116,"×ĺ×Ļס":137117,"Ġthẻ":137118,"ĠìŀĪëĭ¤ê³ł":137119,"اÙĦتز":137120,"اÙĦتزاÙħ":137121,"ĠнаÑĪи":137122,"isée":137123,"ãģĵãĤĮãĤĴ":137124,"Ġmẽ":137125,"ضÙĦ":137126,"بÙĪت":137127,"Ġ׼׼×Ķ":137128,"hợ":137129,"ĠاÙĦسÙĪرÙĬØ©":137130,"Ġ×ľ×¢×ķ×ŀ":137131,"Ġ×ľ×¢×ķ×ŀת":137132,"ĠbaÅŁar":137133,"ĠbaÅŁarılı":137134,"еÑģÑĤÑĮ":137135,"à¸Ħรี":137136,"à¸Ħรีม":137137,"ĠìłĦì²´":137138,"ĠسÙĬÙĥÙĪÙĨ":137139,"Ġ×ŀ×ĵ×ķ×¢":137140,"ĠëķĮ문ìĿ´ëĭ¤":137141,"Ġcứng":137142,"gerät":137143,"ĠмиÑĢ":137144,"ĠмиÑĢе":137145,"ĠÙĥÙĬÙģÙĬØ©":137146,"Ġפר×ĺ×Ļ×Ŀ":137147,"ĠgoÅĽci":137148,"иÑĤеÑģÑĮ":137149,"ÑĥÑĪки":137150,"ؤÙħÙĨ":137151,"Ġ×IJ׼ף":137152,"ĠاÙĦرجÙĦ":137153,"Ġlá»įc":137154,"à¹Ģรียà¸ģวà¹Īา":137155,"ãģĵãģ®ãĤĪãģĨãģª":137156,"ë§Įíģ¼":137157,"ĠпеÑĩ":137158,"ÙĪÙĦات":137159,"ĠÃľye":137160,"liÄŁinde":137161,"à¸Ħะà¹ģà¸Ļ":137162,"à¸Ħะà¹ģà¸Ļà¸Ļ":137163,"ãĤĭãģĵãģ¨ãģ¯":137164,"วิà¹Ģà¸Ħร":137165,"วิà¹Ģà¸Ħราะ":137166,"วิà¹Ģà¸Ħราะหà¹Į":137167,"ĠвозможноÑģÑĤи":137168,"ĠاÙĦÙĨساء":137169,"ãĥīãĥ©ãĥŀ":137170,"Ġgüc":137171,"Ġgücü":137172,"ĠtÆ°á»Ŀng":137173,"Ġacompaña":137174,"ãĤ¤ãĥ©":137175,"קצ×ij":137176,"ĠYö":137177,"ĠYönet":137178,"ĠYönetim":137179,"à¸ªà¸±à¸¡à¸ľ":137180,"à¸ªà¸±à¸¡à¸ľà¸±à¸ª":137181,"à¸Ļาม":137182,"ĠÄijợi":137183,"à¹ģหà¹Īà¸ĩà¸Ĭาà¸ķิ":137184,"ãģĿãĤĮãģ§ãĤĤ":137185,"ätig":137186,"ת×ķ×Ŀ":137187,"ĠbaÅŁlat":137188,"ĠвÑģей":137189,"ת×Ļק":137190,"ת×Ļק×ķף":137191,"ĠNgô":137192,"ĠGeschä":137193,"ĠGeschäfts":137194,"Ø£Ùħ":137195,"Ø£Ùħراض":137196,"à¹Ģà¸Ĺà¸Ħà¸Ļ":137197,"à¹Ģà¸Ĺà¸Ħà¸Ļิ":137198,"à¹Ģà¸Ĺà¸Ħà¸Ļิà¸Ħ":137199,"ĠменÑĮ":137200,"ĠменÑĮÑĪе":137201,"Ġölç":137202,"Ġölçü":137203,"ĠÙĬجعÙĦ":137204,"ĠÄijỡ":137205,"ש×Ļ׾":137206,"ש×Ļ׾×ķ×ij":137207,"ĠGrÃ¶ÃŁe":137208,"ĠÙĩاتÙģ":137209,"รà¹īาà¸Ļà¸Ńาหาร":137210,"×Ķ׾×Ļ׼":137211,"×Ķ׾×Ļ׼×Ļ":137212,"иÑĢÑĥÑİÑī":137213,"èĭ¥ãģĦ":137214,"ĠÃĸzel":137215,"ãģĦãģŁãĤī":137216,"à¸Ħำà¸ĸาม":137217,"ĠzostaÅĤy":137218,"Ġ×Ķס×Ļפ×ķר":137219,"×Ķ×ķ׾":137220,"×Ķ×ķ׾×ļ":137221,"à¹Ģà¸Ĭà¹Īà¸Ļà¸ģัà¸Ļ":137222,"à¹Ĥà¸Ĩ":137223,"à¹Ĥà¸Ĩษ":137224,"à¹Ĥà¸Ĩษà¸ĵา":137225,"×IJרצ×ķת":137226,"×Ĵרפ×Ļ":137227,"Ġaoût":137228,"ĠÙĬرÙĬد":137229,"تÙĪج":137230,"تÙĪجÙĬÙĩ":137231,"ĠÑįÑĤап":137232,"ãĤ¹ãĤ¿ãĥ³":137233,"Ġkró":137234,"Ġkrótk":137235,"ãĤĴ使ãģĨ":137236,"ì·¨":137237,"éĸ¢ãĤı":137238,"à¸Ķà¹īวยà¸Ħวาม":137239,"à¸Ļำà¹Ģสà¸Ļà¸Ń":137240,"Ġayrıca":137241,"à¸Īà¹īาà¸ĩ":137242,"ĠÑĦоÑĤогÑĢаÑĦ":137243,"ĠвеÑĩ":137244,"ĠвеÑĩеÑĢ":137245,"åĩºãģĹãģŁ":137246,"ĠХо":137247,"Ġ×ŀר×Ĵ×Ļש":137248,"à¹ĥหà¹īà¹Ģà¸Ľà¹ĩà¸Ļ":137249,"ãĤĴ缮":137250,"ãĤĴ缮æĮĩ":137251,"׾×ŀ×Ļ×Ŀ":137252,"nÄħÅĤ":137253,"ĠÑģÑĤанд":137254,"ĠÑģÑĤандаÑĢÑĤ":137255,"ĠSüd":137256,"ĠTâm":137257,"اختبار":137258,"à¹Ģà¸ģà¸Ńรà¹Į":137259,"ÙħسرØŃ":137260,"Ġbiá»ĩn":137261,"بÙı":137262,"ĠصاÙĦ":137263,"ĠصاÙĦØŃ":137264,"ĠPhụ":137265,"íľ´":137266,"ãĥ¬ãĥĵãĥ¥ãĥ¼":137267,"Ġbụng":137268,"Ġrégime":137269,"ĠأشÙĩر":137270,"ĠÑĢабоÑĤник":137271,"à¸Ŀัà¸Ļ":137272,"اعتÙħ":137273,"اعتÙħاد":137274,"ĠзамеÑĤ":137275,"ãģ¾ãģ£ãģ¦":137276,"Ġchặt":137277,"æĿ¥ãĤĭ":137278,"ĠاÙĦÙĤÙĪات":137279,"ãģ«åħ¥ãģ£ãģ¦":137280,"تØŃاÙĦÙģ":137281,"ÙħزÙĬد":137282,"ĠÙĬصÙĦ":137283,"ìĹ¼":137284,"à¹Ģà¸Ĭà¹ĩ":137285,"à¹Ģà¸Ĭà¹ĩà¸Ħ":137286,"Ġká»ĭ":137287,"Ġká»ĭp":137288,"ĠìķĦì§ģ":137289,"×IJ׳×Ĵ":137290,"ĠоблаÑģÑĤÑĮ":137291,"ĠpomocÄħ":137292,"Ġ×ķש׾":137293,"ëĵłì§Ģ":137294,"ĠGiám":137295,"ĠStück":137296,"Ġcháy":137297,"ĠëĤĺìĺ¤":137298,"ש×Ļ×ĺת":137299,"×ŀ×ĵר":137300,"×ŀ×ĵר×Ļ×ļ":137301,"Ġsüreç":137302,"ква":137303,"×ij׾×Ļ×Ŀ":137304,"×Ķת×Ļ":137305,"×Ķת×Ļ×Ļ×Ĺס":137306,"ÙĤباÙĦ":137307,"Ġס×ķ×Ĵ":137308,"Ġס×ķ×Ĵ×Ļ":137309,"ÑģÑĤолÑĮ":137310,"ä½ķãĤĤ":137311,"×ĸ׼×ķר":137312,"è²·ãģĨ":137313,"å®īãģı":137314,"à¸Ħรัà¹īà¸ĩà¸Ļีà¹ī":137315,"köp":137316,"ĠÑģеÑĢвиÑģ":137317,"оÑĩнÑĭÑħ":137318,"ê±°ëŀĺ":137319,"تأÙĥ":137320,"تأÙĥÙĬد":137321,"×ĵ׾ק":137322,"ĠпоÑĩем":137323,"ĠпоÑĩемÑĥ":137324,"пиÑģаÑĤÑĮ":137325,"×ijשר":137326,"ĠHÃłng":137327,"ĠTìm":137328,"Ġtrừ":137329,"ãĤ»ãĥĥãĤ¯ãĤ¹":137330,"×ķ׳×Ĵ":137331,"mızda":137332,"пÑģи":137333,"ĠìŀĪ기":137334,"Ġrút":137335,"زاÙĨ":137336,"تÙĨÙĪع":137337,"ÙħÙĤا":137338,"ÙħÙĤاÙĪÙħØ©":137339,"Ġ׾צ×ķר×ļ":137340,"Ġ×ij×Ļר×ķש׾×Ļ×Ŀ":137341,"ãĥ´ãĤ£":137342,"ebile":137343,"ebileceÄŁi":137344,"ãĥ¦ãĥ¼ãĤ":137345,"ãĥ¦ãĥ¼ãĤ¶":137346,"ãĥ¦ãĥ¼ãĤ¶ãĥ¼":137347,"ãĤĴä½ľãĤĭ":137348,"ÑģмеÑĢ":137349,"ÑģмеÑĢÑĤ":137350,"Ġì§ģ":137351,"Ġì§ģìłij":137352,"ĠÐŁÐ°ÑĢ":137353,"ØŃاض":137354,"ØŃاضر":137355,"ÙħÙĥاÙģ":137356,"ÙħÙĥاÙģØŃØ©":137357,"ลิà¸Ļ":137358,"ãģ¦ãģįãģ¦":137359,"ÑĢоÑģл":137360,"ĠÄ°ÅŁte":137361,"ÙĤصÙĬر":137362,"Ġ×ij×Ĵ×Ļ׾":137363,"Ġ×ŀת×IJ×Ļ×Ŀ":137364,"Ġ×Ķ×Ĺ×ĵ":137365,"Ġ×Ķ×Ĺ×ĵש×Ķ":137366,"ר×ķ×¢":137367,"Ġproduktów":137368,"ĠÙħصدر":137369,"неÑĨ":137370,"ĠاÙĦعÙħÙĦات":137371,"Ġçıkma":137372,"ĠدبÙĬ":137373,"ק×Ļף":137374,"ת×IJר":137375,"ת×IJר×Ļ×ļ":137376,"׳×Ļ×Ļ×ĵ":137377,"صراع":137378,"lève":137379,"צ×Ļר":137380,"à¸Ķัà¸Ļ":137381,"à¹ĥหà¹īà¹Ħà¸Ķà¹ī":137382,"ãĤ¿ãĤ¤ãĥł":137383,"Ġgiảng":137384,"Ð¡ÐŁ":137385,"ĠاÙĦÙħØŃÙĦ":137386,"ĠاÙĦÙħØŃÙĦÙĬØ©":137387,"ĠTất":137388,"׾×ķ×ĺ":137389,"há»ķ":137390,"Ġaméric":137391,"Ġaméricain":137392,"Ġ×ijש׾×ij":137393,"Ġ׾×IJ×ķ×ŀ×Ļ":137394,"Ġpeça":137395,"ĠÑĢазнÑĭÑħ":137396,"ãģĦãĤĭãģ¨":137397,"ãĥĩãĥ³":137398,"סקר":137399,"Ġ×Ķ×ŀ×Ĺ×Ļר":137400,"ãģ¨ãģĦãģĨãĤĤãģ®":137401,"رتبط":137402,"ĠиÑģÑĤоÑĩ":137403,"ĠиÑģÑĤоÑĩник":137404,"สมัà¸Ħรสมาà¸Ĭิà¸ģ":137405,"Ġà¸Ĺัà¹īà¸ĩ":137406,"Ġà¸Ĺัà¹īà¸ĩà¸Ļีà¹ī":137407,"ĠTáºŃp":137408,"ãģ£ãģ¦ãģĦãģĨ":137409,"ĠاÙĦÙĪصÙĪÙĦ":137410,"Ġdécada":137411,"ĠоÑĦоÑĢм":137412,"ĠоÑĦоÑĢмлен":137413,"สำหรัà¸ļà¸ģาร":137414,"Ġogóln":137415,"ãģĨãģ¡ãģ«":137416,"Ġvárias":137417,"ãģĻãģİãĤĭ":137418,"ÙĪÙĩا":137419,"à¹Ĥà¸Ľà¸£à¸Ķ":137420,"ĠÐłÐ¾ÑģÑģиÑı":137421,"人ãĢħ":137422,"ãģĹãģ¦ãģįãģŁ":137423,"Ġsırasında":137424,"Ġngôn":137425,"سÙĨØ©":137426,"تÙħتع":137427,"×ŀ׼×ij×Ļ":137428,"Ġnhấn":137429,"×¢×ŀ×Ļ×ĵ":137430,"Ứ":137431,"жиÑĤÑĮ":137432,"ãĤīãģĽ":137433,"gráf":137434,"gráfica":137435,"ĠÙĤÙĪÙĦ":137436,"ĠÙĤÙĪÙĦÙĩ":137437,"ëĭ¨ì²´":137438,"หà¹īา":137439,"หà¹īาม":137440,"使ãģ£ãģ¦":137441,"ת×Ļ×ij":137442,"ת×Ļ×ijת":137443,"iá»ĥu":137444,"à¹ģà¸Ĭม":137445,"à¹ģà¸Ĭà¸¡à¸Ľ":137446,"à¹ģà¸Ĭà¸¡à¸Ľà¹Į":137447,"Ậ":137448,"ĠëĤĺëĿ¼":137449,"ĠÙħباشرة":137450,"ĠtrÄĥm":137451,"سÙĥÙĪ":137452,"ĠاÙĦØ°Ùī":137453,"Ġbiç":137454,"Ġbiçim":137455,"تراجع":137456,"ĠобеÑģп":137457,"ĠобеÑģпеÑĩ":137458,"ĠобеÑģпеÑĩива":137459,"ĠвоздÑĥÑħ":137460,"ÑĭваÑĤÑĮ":137461,"ÙĦØŃÙĤ":137462,"ĠMüdü":137463,"ĠMüdürl":137464,"ĠMüdürlÃ¼ÄŁÃ¼":137465,"Ġyaptır":137466,"Ġפרס":137467,"Ġפרס×ķ×Ŀ":137468,"Ø·ÙĪر":137469,"ÑģÑĤвоваÑĤÑĮ":137470,"ìŀ¥ìĿĦ":137471,"à¸Ĺีà¹Īà¸Ķีà¸Ĺีà¹Īสุà¸Ķ":137472,"à¸Ńัล":137473,"ÑĢÑİ":137474,"ÙħستÙĤبÙĦ":137475,"ÑģлÑĥÑĪ":137476,"ÑģлÑĥÑĪа":137477,"èªįãĤģ":137478,"Ġ׾×Ļ×ŀ":137479,"Ġ׾×Ļ×ŀ×ķ×ĵ×Ļ":137480,"תש×ķ×ij":137481,"תש×ķ×ij×ķת":137482,"ĠgerçekleÅŁtiril":137483,"ĠاÙĦاتÙģاÙĤ":137484,"ĠÑĥÑĢовне":137485,"ĠÑĤÑĢав":137486,"Ġ×Ķ×ŀ×ķף":137487,"ØŃÙģاظ":137488,"ĠÙħÙIJ":137489,"ĠÙħÙIJÙĨ":137490,"ĠÙħÙIJÙĨÙĴ":137491,"Ġdemás":137492,"×ŀ×ķ×ĸ×Ļק×Ķ":137493,"ש×Ļ×Ĺ×Ķ":137494,"Ġbú":137495,"алÑĮнÑĭм":137496,"ãĤıãģŁ":137497,"ãĤıãģŁãģĹ":137498,"ĠاÙĦÙħÙĪاد":137499,"×ª×Ľ×ł":137500,"×ª×Ľ×ł×ķף":137501,"ãĥŃãĥĥãĤ¯":137502,"hiếu":137503,"ĠÑĥме":137504,"ÙħØŃاÙĪÙĦØ©":137505,"×IJ×ķשר":137506,"ĠконкÑĥÑĢ":137507,"ĠконкÑĥÑĢÑģ":137508,"Ġ×ŀ×ij×Ĺ":137509,"Ġ×ŀ×ij×Ĺ×Ļ×ł×ª":137510,"Ġanlam":137511,"Ġanlamı":137512,"Ġliá»ĩt":137513,"ĠвÑħод":137514,"ĠHình":137515,"ĠÙĨÙĬ":137516,"ĠÙĨÙĬÙĪز":137517,"ãĤ¸ãĥ£ãĥ¼":137518,"×ij×Ļ×¥":137519,"ÑĤелÑĮнÑĭÑħ":137520,"à¸Ĺุà¸ģà¸Ńยà¹Īาà¸ĩ":137521,"ĠkiÅŁinin":137522,"Ø£Ùĥثر":137523,"ĠиÑģÑĤоÑĢии":137524,"Ġë³ĢíĻĶ":137525,"×¤×ľ×¡×ĺ":137526,"×¤×ľ×¡×ĺ×Ļ׳×Ļ":137527,"ĠÑģеÑĤ":137528,"ĠÑģеÑĤи":137529,"dıģımız":137530,"íķĺëıĦë¡Ŀ":137531,"×Ķר":137532,"×Ķר×ij×Ķ":137533,"ãģĻãĤĭãģĵãģ¨ãģ¯":137534,"Ġphiếu":137535,"تØŃسÙĬÙĨ":137536,"ĠÅĽrod":137537,"ĠÅĽrodow":137538,"ĠÅĽrodowisk":137539,"ĠÑĢаÑģÑħод":137540,"برÙĬد":137541,"ĠرÙĬ":137542,"ĠرÙĬاÙĦ":137543,"Ġ×ķ׼×ļ":137544,"ì§ĢìļĶ":137545,"׼×ŀ×ķ":137546,"Ġ×¢×ľ×Ļ×Ķ×Ŀ":137547,"fÃŃcio":137548,"Ġkararı":137549,"tıģını":137550,"ĠСов":137551,"ĠСовеÑĤ":137552,"ãģĬéĩijãĤĴ":137553,"междÑĥ":137554,"междÑĥна":137555,"междÑĥнаÑĢод":137556,"междÑĥнаÑĢодн":137557,"Ġmá»Ŀi":137558,"ĠاÙĦØ¥ÙĬر":137559,"ĠاÙĦØ¥ÙĬراÙĨÙĬ":137560,"ĠاÙĦرÙĪسÙĬ":137561,"صÙĨد":137562,"صÙĨدÙĪÙĤ":137563,"ĠاÙĦØ¥ÙĨترÙĨت":137564,"Ġtắm":137565,"ĠÑĤакого":137566,"Ġ×ij׾×ķ×Ĵ":137567,"Ġücrets":137568,"Ġücretsiz":137569,"×Ĺ×ĸ×Ļר":137570,"ìĸ´ìķ¼":137571,"ĠPhần":137572,"ï¼ľ":137573,"Ġ×ĺ×ij×¢":137574,"Ġ×ĺ×ij×¢×Ļ":137575,"×IJ×ŀ×IJ":137576,"اÙĤÙĦ":137577,"Ġcondições":137578,"ÙĤاتÙĦ":137579,"ĠÑĢезÑĥлÑĮÑĤаÑĤе":137580,"ĠÑģвоими":137581,"צ×ij×Ļ×¢":137582,"géni":137583,"Ġzes":137584,"Ġzespo":137585,"ĠzespoÅĤ":137586,"ÑĪив":137587,"Ġפר×ĺ×Ļ×ķת":137588,"ÙħستشÙģ":137589,"ÙħستشÙģÙī":137590,"شرع":137591,"ĠkoÅĽci":137592,"Ġ×Ķ×IJ×Ļ׳×ĺר׳×ĺ":137593,"ĠЧеÑĢ":137594,"поÑĩÑĤ":137595,"Ġactivités":137596,"çŁ¥ãģ£ãģ¦":137597,"Ġ×ij×ĸ×Ķ":137598,"Ġyüzden":137599,"ãģªãĤĬãģ¾ãģĽãĤĵ":137600,"Ġíĺ¹":137601,"Ġíĺ¹ìĿĢ":137602,"Ġ×ŀש׳×Ķ":137603,"ĠÐĴеÑĢ":137604,"Ġ×ij×IJ×ķת×ķ":137605,"éĿ¢çĻ½":137606,"éĿ¢çĻ½ãģĦ":137607,"شرØŃ":137608,"gründe":137609,"ÙģØ´":137610,"ÙģØ´ÙĦ":137611,"Ġséjour":137612,"ë´IJ":137613,"Ġrôle":137614,"شعار":137615,"емÑĭе":137616,"ĠاÙĦجسÙħ":137617,"алÑĮное":137618,"Ġìĥģíĥľ":137619,"Ｄ":137620,"ë¯Ģë¡ľ":137621,"ĠÙĨÙĤØ·":137622,"ĠÙĨÙĤطة":137623,"ãģĿãģĨãģł":137624,"ãģĻãĤĭãģ®ãģĮ":137625,"หู":137626,"Ġnhá»ĭ":137627,"Ġeconómica":137628,"ס×ĺ×ķ×ĵ":137629,"ס×ĺ×ķ×ĵ׳×ĺ":137630,"มีà¹Ĥà¸Ńà¸ģาส":137631,"Ġgestão":137632,"รูà¹īวà¹Īา":137633,"Ġloạt":137634,"ĠاÙĦÙħÙı":137635,"ĠاÙĦØŃÙħÙĦ":137636,"ĠاÙĦعÙħÙĦÙĬØ©":137637,"Ġê²ĥëıĦ":137638,"ĠÐľÐ¾Ñģква":137639,"ק×ĺ×ķר":137640,"ĠподÑĢоб":137641,"ĠподÑĢобн":137642,"ĠlÆ°ng":137643,"تÙģس":137644,"تÙģسÙĬر":137645,"ĠاÙĦبع":137646,"ĠاÙĦبعض":137647,"ئت":137648,"ÐķÐĿ":137649,"ìĹ°êµ¬":137650,"à¹ĥหà¹īà¸Ħุà¸ĵ":137651,"ãģĤãĤĬãģ¾ãģĹãģŁ":137652,"Ġbirka":137653,"Ġbirkaç":137654,"ĠÄ°sl":137655,"ĠÄ°slam":137656,"çĹĽãģ¿":137657,"Ġhảo":137658,"ĠмаÑı":137659,"ĠiÅŁÃ§i":137660,"ש×":137661,"ש×ģ":137662,"à¸ģารà¹Ģมืà¸Ńà¸ĩ":137663,"×ķ×Ķר":137664,"Ġchó":137665,"ëĨĢ":137666,"Ġyanlı":137667,"ĠyanlÄ±ÅŁ":137668,"幸ãģĽ":137669,"×IJר×Ĵ×ķ׳×Ļ":137670,"à¸Ńาà¸Īาร":137671,"à¸Ńาà¸Īารยà¹Į":137672,"ĠинÑĦоÑĢмаÑĨиÑİ":137673,"ÐĵÐŀ":137674,"׳×Ĺש":137675,"ĠìķĮìķĦ":137676,"ĠÑħаÑĢакÑĤеÑĢиÑģÑĤ":137677,"ĠÑħаÑĢакÑĤеÑĢиÑģÑĤик":137678,"à¸Ħุà¸ĵสามารà¸ĸ":137679,"è¦ĭãģĪãĤĭ":137680,"à¸Ĭัà¸Ķà¹Ģà¸Ī":137681,"à¸Ĭัà¸Ķà¹Ģà¸Īà¸Ļ":137682,"ĠdziaÅĤal":137683,"ĠdziaÅĤalnoÅĽci":137684,"à¹Ĥà¸ŀสà¸ķà¹Į":137685,"ĠÐļол":137686,"ĠÙģÙĩÙĬ":137687,"Ġ×ŀפ׳×Ļ":137688,"Ġ×Ķקשר":137689,"ÙħرÙĥ":137690,"ÙħرÙĥز":137691,"Ġhoá":137692,"Ġапп":137693,"ĠаппаÑĢаÑĤ":137694,"Ġpami":137695,"ĠpamiÄĻ":137696,"ĠpamiÄĻta":137697,"Ġçünkü":137698,"×ĵ×ķף":137699,"ãģ¯ãģĵãģ¡ãĤī":137700,"ĠMÃł":137701,"ĠÙĬÙĤدÙħ":137702,"ĠпÑĢез":137703,"ĠпÑĢезиденÑĤ":137704,"à¸Ńุà¸ķ":137705,"à¸Ńุà¸ķสา":137706,"à¸Ńุà¸ķสาห":137707,"à¸Ńุà¸ķสาหà¸ģรรม":137708,"ì§ĢìĽIJ":137709,"Ġ×IJפשר×ķת":137710,"schüt":137711,"schütz":137712,"ĠTiên":137713,"Ġsayılı":137714,"ĠгÑĢÑĥппÑĭ":137715,"оÑĩнÑĭй":137716,"Ġ×ľ×¢×ŀ×ķ×ĵ":137717,"ĠwrzeÅĽ":137718,"ĠwrzeÅĽnia":137719,"ĠÄIJầu":137720,"à¹Ģà¸Ĥà¹īารà¹Īวม":137721,"nızda":137722,"Ø®ÙĬص":137723,"Ġgünc":137724,"Ġgüncel":137725,"ĠÙĦÙĩØ°Ùĩ":137726,"ĠÙĬعتبر":137727,"légi":137728,"ãĤıãģĭãĤĭ":137729,"Ġrừng":137730,"ظÙĩ":137731,"ظÙĩÙĪر":137732,"Ġ×ŀ×ij×Ļף":137733,"Ġ기íĥĢ":137734,"åĪĩãĤĮ":137735,"lanmÄ±ÅŁ":137736,"à¸Ĺีà¹Īมีà¸Ħวาม":137737,"Ġhá»ģ":137738,"تÙĪجÙĩ":137739,"ĠاÙĦإدارة":137740,"Ġútil":137741,"ספ×ķ":137742,"à¸Ħวามรัà¸ģ":137743,"à¹Ĥฮ":137744,"ĠполиÑĤ":137745,"ĠполиÑĤик":137746,"Ġsatın":137747,"ĠÅŀimdi":137748,"×ŀ×ķר×Ļ×Ŀ":137749,"ìķĺëĭ¤":137750,"×Ĺ×ķ×ķ":137751,"×Ĺ×ķ×ķ×Ļ×Ķ":137752,"à¸Ħà¸Ńมà¸ŀิ":137753,"à¸Ħà¸Ńมà¸ŀิว":137754,"à¸Ħà¸Ńมà¸ŀิวà¹Ģà¸ķà¸Ńรà¹Į":137755,"Ġاذا":137756,"تخاذ":137757,"ãĤ¨ãĥ«":137758,"Ġpossibilité":137759,"ยืà¸Ļยัà¸Ļ":137760,"Ġünivers":137761,"Ġüniversite":137762,"ĠاÙĦدÙĪرÙĬ":137763,"ĠìķĬëĬĶëĭ¤":137764,"ĠìĦľë¡ľ":137765,"ØŃاÙĦ":137766,"Ġë¨":137767,"Ġ먼":137768,"Ġ먼ìłĢ":137769,"à¸Ĺีà¹Īà¸ĸูà¸ģ":137770,"ì§ľ":137771,"Ġskóry":137772,"лÑĮÑĨ":137773,"à¹ĥà¸Ĭà¹īà¹Ģวลา":137774,"×ijקשת":137775,"ĠØ°ÙĪ":137776,"æĹ¥ãĢħ":137777,"ĠкоÑĤоÑĢÑĥÑİ":137778,"ĠÑĥÑĢовенÑĮ":137779,"깨":137780,"à¹Ħà¸Ĺ":137781,"ãĤµãĥĹãĥª":137782,"ãĤ¸ãĥ§ãĥ³":137783,"ãģĻãģ¹ãģį":137784,"ĠGór":137785,"ãĥĪãĤ¤":137786,"ãĥĪãĤ¤ãĥ¬":137787,"ĠyaÅŁama":137788,"Ġdá»ĭp":137789,"Ġbữa":137790,"à¸ĭุ":137791,"Ġölüm":137792,"ãģ£ãģ¦ãģıãĤĭ":137793,"à¸ģารà¸Ħà¹īา":137794,"שער":137795,"ĠÑĤипа":137796,"ĠгеÑĢ":137797,"ĠгеÑĢо":137798,"רקע":137799,"Ġuważ":137800,"Ġuważa":137801,"ש×ŀף":137802,"Ġhastalık":137803,"ãĤıãĤĮãĤĭ":137804,"baÅŁÄ±":137805,"ÑĩÑĤо":137806,"Ġ×ij×ŀר׼×ĸ":137807,"Ġìļ°ë¦¬ìĿĺ":137808,"ĠÙĥاÙĨÙĪا":137809,"Ġأبر":137810,"ĠأبرÙĬÙĦ":137811,"층":137812,"à¹Ħà¸Ĥà¹Ī":137813,"ĠÙĪÙĦÙĪ":137814,"à¸Ĺัว":137815,"à¸Ĺัวรà¹Į":137816,"ĠÙĪØ£Ùĥد":137817,"à¸Ĭวà¸Ļ":137818,"׾×ķק":137819,"æį¨":137820,"æį¨ãģ¦":137821,"Ġİçin":137822,"péri":137823,"Ġyal":137824,"Ġyalnız":137825,"ÑĮÑıн":137826,"Ġgắng":137827,"à¸ģà¹ĩยัà¸ĩ":137828,"ĠУкÑĢаин":137829,"ĠÑģами":137830,"ĠпÑĢоведен":137831,"à¸ķà¸ģà¹ģà¸ķà¹Īà¸ĩ":137832,"ĠQuân":137833,"éparation":137834,"ĠbaÅŁÄ±nda":137835,"Ġznale":137836,"Ġznaleź":137837,"ĠznaleźÄĩ":137838,"ãĤ±ãĥ¼":137839,"ãĥİãĥ¼":137840,"à¸ĸูà¸ģà¸ķà¹īà¸Ńà¸ĩ":137841,"몸":137842,"ĠëıĮ":137843,"ĠëıĮìķĦ":137844,"ĠSchüler":137845,"ĠподгоÑĤов":137846,"ĠподгоÑĤовк":137847,"عرÙĪ":137848,"عرÙĪض":137849,"laÅŁtır":137850,"ĠÑģоÑģÑĤавлÑıеÑĤ":137851,"ĠпÑĢоизвод":137852,"ĠпÑĢоизводÑģÑĤва":137853,"ĠоÑģнове":137854,"ĠØ´ÙħاÙĦ":137855,"à¸ģรี":137856,"ĠgörÃ¼ÅŁme":137857,"оÑĩек":137858,"Ġ×Ĺ×ijר×Ļ×Ŀ":137859,"Ùħخاط":137860,"Ùħخاطر":137861,"ï¼Ń":137862,"רפ×IJ":137863,"ĠMẹ":137864,"ยà¸Ńมรัà¸ļ":137865,"Ġvết":137866,"خذ":137867,"ĠاÙĦتط":137868,"ĠاÙĦتطبÙĬÙĤ":137869,"à¸Ļึà¸ģ":137870,"Ġ×Ķ×Ľ×ł×¡×ª":137871,"ĠогÑĢани":137872,"ĠогÑĢаниÑĩен":137873,"ĠÃĩalÄ±ÅŁ":137874,"ĠاÙĦÙħÙĨتدÙī":137875,"à¸Īำà¸Ļวà¸Ļมาà¸ģ":137876,"ĠÑĤоÑĢÑĢ":137877,"ĠÑĤоÑĢÑĢенÑĤ":137878,"ĠìĤ´ìķĦ":137879,"à¸ŀลัà¸ĩà¸ĩาà¸Ļ":137880,"à¸Ĭัà¸Ļ":137881,"ĠÐIJндÑĢ":137882,"Ġréalisé":137883,"×ŀש×IJ":137884,"à¹ģà¸Ĭ":137885,"à¹ģà¸Ĭรà¹Į":137886,"Ġбог":137887,"มาà¹ģลà¹īว":137888,"ĠاÙĦÙĨار":137889,"Ġolmadıģı":137890,"×ĵ×¢×Ķ":137891,"ĠÑĥвеÑĢ":137892,"ĠÑĥвеÑĢен":137893,"ãĤĭãĤĤãģ®":137894,"أد":137895,"أدÙĪات":137896,"Ġ×Ķ×ĸ×ķ×Ĵ":137897,"إعÙĦاÙħ":137898,"há»ı":137899,"ĠNähe":137900,"ĠÑĤеÑģÑĤ":137901,"Ġ×ŀ×ķ׼ר":137902,"Ġë¬¸ìłľê°Ģ":137903,"ת×ķצ×IJ×Ķ":137904,"mó":137905,"móvel":137906,"ĠاÙĦتجارة":137907,"ĠмногиÑħ":137908,"обÑīа":137909,"Ġעסק×Ļ":137910,"ĠEducação":137911,"קש×Ļ×Ŀ":137912,"établ":137913,"établissement":137914,"Ġделе":137915,"иÑĢÑĥеÑĤÑģÑı":137916,"آثار":137917,"Ġ×Ķ×ŀר׼×ĸ×Ļ":137918,"ãĥIJãĥ«":137919,"ĠвÑģÑĤÑĢеÑĩ":137920,"ãģĴãĤĭ":137921,"ĠciÄħ":137922,"ĠciÄħgu":137923,"ÙĬست":137924,"à¸łà¸²à¸§":137925,"à¸łà¸²à¸§à¸°":137926,"Ø£Ùħر":137927,"Ġожи":137928,"Ġожида":137929,"Ġủy":137930,"ãĥŀãĥ«":137931,"راس":137932,"оÑĩной":137933,"ת×Ĵ×ķ×ij×ķת":137934,"تعرÙĬÙģ":137935,"ĠÑģоÑĨиалÑĮно":137936,"ãĤĴéĸĭ":137937,"ĠиÑģÑģледова":137938,"Ġdú":137939,"Ġdúvida":137940,"ĠskÅĤ":137941,"ĠskÅĤada":137942,"Ġhäufig":137943,"ĠвÑĭбÑĢ":137944,"ĠвÑĭбÑĢаÑĤÑĮ":137945,"ãģ®ãģ§ãģ¯ãģªãģĦãģĭ":137946,"ĠÑģилÑĮно":137947,"ÑĤвеÑĢжден":137948,"רפ":137949,"רפ×ķ×IJ×Ķ":137950,"æĢĿãģĦãģ¾ãģĻ":137951,"ØŃرص":137952,"ש×ķתף":137953,"Ùħسجد":137954,"à¹Ĥà¸Ĭวà¹Į":137955,"емÑģÑı":137956,"вÑĪие":137957,"Ġмл":137958,"Ġмлн":137959,"Ġ׾×Ķ×ij×Ļ×IJ":137960,"ĠÙĬتعÙĦÙĤ":137961,"à¸ķูà¹ī":137962,"ĠпÑĢаз":137963,"ĠпÑĢазд":137964,"ĠпÑĢаздник":137965,"Ġнем":137966,"Ġнемного":137967,"ĠsÃłng":137968,"تÙĨسÙĬ":137969,"تÙĨسÙĬÙĤ":137970,"Ġtá»Ŀ":137971,"Ġмеди":137972,"ãģ«æĪ":137973,"ãģ«æĪ»":137974,"à¸Ħวà¹īา":137975,"ãģĭãģijãĤĭ":137976,"×ij׾×ķת":137977,"ĠÑįкÑģп":137978,"ĠÑįкÑģпеÑĢÑĤ":137979,"ĠдевÑĥÑĪ":137980,"ĠдевÑĥÑĪк":137981,"ĠØŃص":137982,"ÙĨشأ":137983,"ãģĮãģĤãĤĭãģ®ãģ§":137984,"ĠتراÙħ":137985,"ĠتراÙħب":137986,"أسÙĪاÙĤ":137987,"Ġ׾פ׳×ķת":137988,"Ġاﻷ":137989,"ãģ«ãģı":137990,"ãģ«ãģıãģĦ":137991,"ĠأعÙĦÙī":137992,"Ġ׾×Ķ×ŀש×Ļ×ļ":137993,"räu":137994,"ש×ŀ×Ļ×Ŀ":137995,"åĪĨãģij":137996,"ãģĻãģ§":137997,"ãģĻãģ§ãģ«":137998,"×Ķ׾׼×Ķ":137999,"×Ĺ׾×Ļ×£":138000,"Ġì±ħ":138001,"Ġì±ħìŀĦ":138002,"à¹Ģà¸Īริ":138003,"à¹Ģà¸Īริà¸į":138004,"éģĬãģ³":138005,"جسد":138006,"สาà¸ĺ":138007,"สาà¸ĺาร":138008,"สาà¸ĺารà¸ĵ":138009,"Ġbasın":138010,"ÑĢаг":138011,"гад":138012,"ĠhoÅŁ":138013,"íķµ":138014,"×ij×Ĺ×Ļר×Ķ":138015,"×ŀס×ļ":138016,"ĠìłľíĴĪ":138017,"تÙħÙĪÙĬÙĦ":138018,"ĠLÆ°u":138019,"ë¡ľë¶ĢíĦ°":138020,"Ġпоб":138021,"Ġпобед":138022,"ÙħÙĨØ°":138023,"常ãģ«":138024,"ÙĤس":138025,"ĠاÙĦÙħصدر":138026,"ĠÙĪاÙĦاست":138027,"Ġkhắp":138028,"ĠاÙĦجاÙĨب":138029,"Ġnguyá»ĩn":138030,"éĸĵéģķãģĦ":138031,"ĠÑģÑĤÑĢа":138032,"ĠÑģÑĤÑĢаÑħ":138033,"ĠÑģÑĤÑĢаÑħов":138034,"รีà¸ļ":138035,"ĠxÆ°Æ¡ng":138036,"Ġì°¾":138037,"Ġì°¾ìķĦ":138038,"Ġngại":138039,"гал":138040,"à¸ĭีà¹Ī":138041,"Ġ×ijפ×Ļ×Ļס×ij×ķק":138042,"ЦенÑĤÑĢ":138043,"Ġavaliação":138044,"Ġeconómico":138045,"×ĸף":138046,"ĠÐľÐ°Ðº":138047,"Ġinterés":138048,"à¸ģลิà¹Īà¸Ļ":138049,"ÑģÑĤÑĮÑİ":138050,"ĠÄijÆ°Æ¡ng":138051,"å¼·ãģı":138052,"ĠKhách":138053,"à¹Ģà¸Ļืà¹īà¸Ńหา":138054,"ĠYazı":138055,"è²·ãģ£ãģ¦":138056,"ÐłÐķ":138057,"à¹Ģà¸ŀิà¹Īมà¸Ĥึà¹īà¸Ļ":138058,"สมà¸ļู":138059,"สมà¸ļูรà¸ĵà¹Į":138060,"ĠмиÑĢов":138061,"×Ĵ׳×Ļ×Ŀ":138062,"ĠÄijức":138063,"à¸Ńารà¹Į":138064,"صاص":138065,"ãģĬãĤĪ":138066,"ãģĬãĤĪãģ³":138067,"êÌī":138068,"ĠاÙĦÙħؤتÙħر":138069,"ĠاÙĦÙħرØŃÙĦØ©":138070,"สà¸Ńà¸ļà¸ĸาม":138071,"Ġà¸Īาà¸ģà¸Ļัà¹īà¸Ļ":138072,"Ġتعد":138073,"ãģĿãģ®ãģŁãĤģ":138074,"Ġkháng":138075,"à¸Ļิà¸Ķ":138076,"ãĥĬãĥ³":138077,"ëĦ¤ìļĶ":138078,"ĠاÙĦاØŃت":138079,"ĠاÙĦاØŃتÙĦاÙĦ":138080,"ìļķ":138081,"Ġмодели":138082,"ĠпÑĢоÑĨенÑĤ":138083,"à¸ŀวà¸ģà¹Ģรา":138084,"Ġ×Ķצ×ĵ":138085,"Ġ×Ķצ×ĵ×ĵ×Ļ×Ŀ":138086,"stände":138087,"׳×Ĵר":138088,"Ġdotyc":138089,"ĠdotyczÄħ":138090,"ĠdotyczÄħce":138091,"ĠÅĽwiÄĻt":138092,"×ŀר×Ķ":138093,"ãģĻãģĶãģĦ":138094,"ãĥĩãĤ£ãĥ³ãĤ°":138095,"à¸ģารสรà¹īาà¸ĩ":138096,"ëĤ¬":138097,"Ġì°¸ìŬ":138098,"ÑģÑħ":138099,"ÑģÑħем":138100,"ÙħÙĪس":138101,"Ġnấu":138102,"Ġ׾×ŀ×¢×ľ×Ķ":138103,"à¹Ģà¸Ľà¹īา":138104,"à¹Ģà¸Ľà¹īาหมาย":138105,"Ġmùi":138106,"ائز":138107,"íĽĪ":138108,"×Ĺ×ij×ķר×Ķ":138109,"à¸ľà¸¹à¹īà¹ĥà¸Ĭà¹ī":138110,"Ġpaź":138111,"Ġpaździ":138112,"Ġpaździern":138113,"Ġpaździernika":138114,"ลà¸ĩà¹Ħà¸Ľ":138115,"ÙĤاع":138116,"ĠcháºŃm":138117,"Ġözellikleri":138118,"ĠÄIJo":138119,"ĠÄIJoÃłn":138120,"жение":138121,"Ġhẳ":138122,"Ġhẳn":138123,"ĠaÅŁk":138124,"ï½į":138125,"ãĥijãĤ¹":138126,"×Ķ×ķר×IJ×ķת":138127,"ĠÅ»":138128,"ĠÅ»y":138129,"×ŀ×ĸ׾":138130,"ĠÑĥкÑĢа":138131,"ĠÑĥкÑĢаин":138132,"à¹Ģà¸Ĭิ":138133,"à¹Ģà¸Ĭิà¸į":138134,"ÐłÐĺ":138135,"ĠzwiÄħzku":138136,"×Ķ×Ĺ׾×ĺת":138137,"ãĤĵãģ§ãģĻãĤĪãģŃ":138138,"ãģ¦ãģĬãĤĬ":138139,"ложиÑĤÑĮ":138140,"×ŀ×ķ׳×Ļ×Ŀ":138141,"ฮิ":138142,"ì°¬":138143,"ĠاÙĦÙħشترÙĥ":138144,"ĠdÃ¼ÅŁÃ¼k":138145,"агенÑĤ":138146,"ĠاÙĦأسبÙĪع":138147,"ĠÙĤرÙĬب":138148,"инд":138149,"индив":138150,"индивид":138151,"индивидÑĥ":138152,"индивидÑĥалÑĮн":138153,"förder":138154,"Ġseçen":138155,"Ġseçenek":138156,"Ġétant":138157,"ĠлÑİбим":138158,"казÑĭваеÑĤ":138159,"วิà¸Ļ":138160,"Ġ×Ķ×ij×IJ×Ļ×Ŀ":138161,"Ġдов":138162,"ĠдоволÑĮ":138163,"ĠдоволÑĮно":138164,"×¢×ĵ×Ļ×£":138165,"Ġokre":138166,"ĠokreÅĽ":138167,"ĠokreÅĽlon":138168,"ĠترÙĬد":138169,"à¹Ģมืà¹Īà¸Ńวัà¸Ļà¸Ĺีà¹Ī":138170,"ãĤĪãģĭãģ£ãģŁ":138171,"Cumh":138172,"Cumhur":138173,"Cumhurba":138174,"CumhurbaÅŁ":138175,"CumhurbaÅŁkan":138176,"CumhurbaÅŁkanı":138177,"Ġnợ":138178,"à¸ľà¸¹à¹īà¹Ģลà¹Īà¸Ļ":138179,"Ġcomplète":138180,"à¹Ģà¸ŀศ":138181,"دÙIJ":138182,"Ġdüz":138183,"Ġdüzey":138184,"ãģ§ãģĤãĤĭãģĵãģ¨":138185,"extérieur":138186,"׳":138187,"Ġinformação":138188,"ãĤ¯ãĥªãĥĭãĥĥãĤ¯":138189,"ĠPubli":138190,"ĠPublié":138191,"ר×ķ×ĵ":138192,"à¸Ħà¸§à¸²à¸¡à¸Ľà¸¥à¸Ńà¸Ķà¸łà¸±à¸¢":138193,"ĠØ£ÙĬض":138194,"ĠØ£ÙĬضÙĭا":138195,"تسبب":138196,"ãģ¤ãĤĤãĤĬ":138197,"изма":138198,"à¸Ĥึà¹īà¸Ļà¹Ħà¸Ľ":138199,"ÙĥÙIJ":138200,"ÙĦÙĪÙħ":138201,"Ġשצר":138202,"Ġשצר×Ļ×ļ":138203,"ãģ¯ãĤĤãģ¡ãĤįãĤĵ":138204,"Ġкан":138205,"Ġканал":138206,"ãģ«ãģªãģ£ãģ¦ãģĦãģ¾ãģĻ":138207,"ĠاÙĦØ£Ùĥثر":138208,"تاØŃ":138209,"ÙĨتÙĩ":138210,"ÙĨتÙĩاء":138211,"اÙĪÙĬØ©":138212,"ĠBugün":138213,"нÑģкого":138214,"à¸Ķà¹Īวà¸Ļ":138215,"évolution":138216,"ãģ£ãģ¦ãģĦãģ¾ãģĹãģŁ":138217,"ãĤħ":138218,"ĠVÆ°Æ¡ng":138219,"à¸łà¸²à¸ŀย":138220,"à¸łà¸²à¸ŀยà¸Ļ":138221,"à¸łà¸²à¸ŀยà¸Ļà¸ķรà¹Į":138222,"Ġ×Ķצ׾×Ļ×Ĺ":138223,"ĠاÙĦإسÙĦاÙħÙĬ":138224,"ÙĦÙĬب":138225,"Ġedição":138226,"ÑģÑĤÑĢел":138227,"Ġkhúc":138228,"ÙĨÙħÙĪØ°":138229,"ÙĨÙħÙĪذج":138230,"׾צ×Ķ":138231,"ÑģÑĤавил":138232,"à¸ĸา":138233,"สรà¹īาà¸ĩà¸Ħวาม":138234,"ãģĦãģ£ãģ±":138235,"ãģĦãģ£ãģ±ãģĦ":138236,"ÑģÑĤавлен":138237,"ĠاÙĦÙĤدس":138238,"Ġngược":138239,"بخ":138240,"สหร":138241,"สหรั":138242,"สหรัà¸IJ":138243,"Ġأغ":138244,"Ġأغسط":138245,"Ġأغسطس":138246,"ãģĨãģ¾":138247,"ãģĨãģ¾ãģı":138248,"ĠêµŃìłľ":138249,"ØŃضار":138250,"Ġdừng":138251,"æĬ¼ãģĹ":138252,"تÙĪا":138253,"تÙĪاجد":138254,"ש×ŀ×Ĺ×Ķ":138255,"ãģıãĤĵ":138256,"Ġ×ijעצ":138257,"Ġ×ijעצ×Ŀ":138258,"×ŀ׳×Ļ×ķת":138259,"×ķ×Ļ×ĵ":138260,"×ķ×Ļ×ĵ×IJ×ķ":138261,"à¸Ĭิà¸ĩ":138262,"ĠpracÄĻ":138263,"ĠзаÑĤ":138264,"ĠзаÑĤем":138265,"ĠìŀIJìľł":138266,"Ġì¤Ģ":138267,"Ġì¤Ģë¹Ħ":138268,"ĠbáºŃ":138269,"ĠbáºŃc":138270,"Ġ×Ķ×ŀצ×ij":138271,"ĠÙĤÙĬÙħØ©":138272,"à¹Ģà¸Ńà¹Ģà¸Ĭ":138273,"à¹Ģà¸Ńà¹Ģà¸Ĭีย":138274,"Ġperchè":138275,"ĠاÙĦعسÙĥر":138276,"ĠاÙĦعسÙĥرÙĬØ©":138277,"جÙĬب":138278,"ëŀµ":138279,"ÙħÙĩر":138280,"ÙħÙĩرجاÙĨ":138281,"ÙħراÙĥ":138282,"ÙħراÙĥز":138283,"Ġоднако":138284,"à¸Ķีà¹Ĩ":138285,"Ġצפ×ķ":138286,"Ġkullanılan":138287,"Ġкино":138288,"ãĥĨãĤ£ãĥ³ãĤ°":138289,"ĠGiỼi":138290,"تÙĪز":138291,"تÙĪزÙĬع":138292,"ยิà¸Ļ":138293,"ยิà¸Ļà¸Ķี":138294,"ĠcÅĵur":138295,"ĠiÅŁaret":138296,"Ġ×ij×¢×ĸר":138297,"Ġ×ij×¢×ĸרת":138298,"ĠпаÑĨи":138299,"ĠпаÑĨиенÑĤ":138300,"ãģ¿ãģŁãģĦãģ§ãģĻ":138301,"вез":138302,"лина":138303,"оде":138304,"Ġ×IJ×ķ×ª×Ł":138305,"dıģınız":138306,"ĠÐIJв":138307,"ĠÐIJвÑĤоÑĢ":138308,"ï¼®":138309,"ĠCần":138310,"ĠاÙĦاخ":138311,"ĠاÙĦاخبار":138312,"Ġê±°ìĿĺ":138313,"Ġatenção":138314,"ĠgeldiÄŁi":138315,"ãĤªãĤ¹":138316,"ãĤªãĤ¹ãĤ¹":138317,"ãĤªãĤ¹ãĤ¹ãĥ¡":138318,"евÑĭе":138319,"кÑĢÑĭл":138320,"à¹Ģà¸Ĭียà¸ĩ":138321,"à¹Ģà¸Ĭียà¸ĩà¹ĥหมà¹Ī":138322,"Ġmarço":138323,"ĠاÙĦÙħادة":138324,"Ġгол":138325,"Ġsprzedaży":138326,"Ġíķ´ê²°":138327,"ĠÐķго":138328,"ê¹Ģ":138329,"Ġ׾ק×ij×ľ×ª":138330,"ĠاÙĦÙģÙĨاÙĨ":138331,"Ġcomunicación":138332,"à¹Ģสà¹īà¸Ļà¸Ĺาà¸ĩ":138333,"íĺ¹":138334,"à¸Ĭำ":138335,"à¸Ĭำระ":138336,"Ġ׼×IJ×ŀ":138337,"Ġ׼×IJ×ŀ×ķר":138338,"à¸Ĭà¹Īาà¸ĩ":138339,"زÙĩر":138340,"Ġklientów":138341,"иваÑİÑĤ":138342,"анг":138343,"׳×ļ":138344,"Ġgá»įn":138345,"ÃľR":138346,"ìĺģìĥģ":138347,"Ġغزة":138348,"ìĿĮìĿĦ":138349,"Ġbezpo":138350,"ĠbezpoÅĽ":138351,"ĠbezpoÅĽredni":138352,"ĠاÙĦÙħÙĪا":138353,"ĠاÙĦÙħÙĪاطÙĨ":138354,"ĠاÙĦÙħÙĪاطÙĨÙĬÙĨ":138355,"ãĤĮãģ¾ãģĻ":138356,"ĠмаÑĤÑĩ":138357,"×IJ×ķף":138358,"ĠرسÙħÙĬ":138359,"ĠÑįкон":138360,"ĠÑįконом":138361,"ĠÑįкономиÑĩеÑģк":138362,"ãĥľãĥ¼":138363,"ĠдиÑĢ":138364,"ĠдиÑĢекÑĤоÑĢ":138365,"ĠÑģкоÑĢо":138366,"à¸ļำ":138367,"à¸ļำร":138368,"à¸ļำรุà¸ĩ":138369,"ĠÑĦÑĥÑĤ":138370,"ĠÑĦÑĥÑĤбол":138371,"Ġ×IJ×Ļ׾":138372,"Ġì¤ijêµŃ":138373,"ìľ¤":138374,"eÄŁe":138375,"à¹Ħà¸ģà¹Ī":138376,"traî":138377,"traîn":138378,"ĠÑĤÑĢÑĥб":138379,"à¹Ģà¸ļื":138380,"à¹Ģà¸ļืà¹īà¸Ńà¸ĩ":138381,"à¹ģมà¸Ļ":138382,"ĠتØŃدÙĬØ«":138383,"Ġ×Ľ×¢×ª":138384,"ØŃاسب":138385,"lıģa":138386,"ק×Ļ×Ļ×ŀ×Ļ×Ŀ":138387,"оÑģÑĤÑĮÑİ":138388,"à¸Ŀั":138389,"à¸Ŀัà¹Īà¸ĩ":138390,"شغÙĦ":138391,"ìĽ¹":138392,"Ġкаждого":138393,"Ġbölümü":138394,"หà¸Ļี":138395,"ĠistediÄŁi":138396,"ĠtrÆ°ng":138397,"ãĥĮ":138398,"ฮà¸Ń":138399,"Ø£ÙĨØ´":138400,"Ø£ÙĨشطة":138401,"ĠاÙĦÙħسÙĬ":138402,"ĠاÙĦÙħسÙĬØŃ":138403,"ลัà¸ģษà¸ĵà¹Į":138404,"Ġná»Ńa":138405,"à¸Ĺีà¹Īà¸ķà¹īà¸Ńà¸ĩà¸ģาร":138406,"ÑĪек":138407,"лÑij":138408,"Ġש×Ļ×Ķ":138409,"Ġש×Ļ×Ķ×Ļ×Ķ":138410,"Ġkhuôn":138411,"ĠÑĤÑĢебованиÑı":138412,"Ġ×ľ×¢×ĸ×ķר":138413,"ĠاÙĦعÙħر":138414,"ราà¸Ħาà¸ĸูà¸ģ":138415,"ÙĩÙıÙħÙĴ":138416,"üst":138417,"üstü":138418,"Ġденег":138419,"Ġnạ":138420,"à¸Ĥà¸Ļม":138421,"Ġблаг":138422,"Ġблагод":138423,"ĠблагодаÑĢ":138424,"ĠблагодаÑĢÑı":138425,"إسÙĦاÙħ":138426,"à¸Ļิว":138427,"çŁ¥ãĤīãģªãģĦ":138428,"Ø«ÙĤØ©":138429,"ĠголоÑģ":138430,"×IJ×ķר×Ĺ":138431,"Ġtrứng":138432,"Ġодном":138433,"ĠkoÅĦcu":138434,"Ġ×ķרק":138435,"WiÄĻ":138436,"WiÄĻcej":138437,"Ġ×IJ×Ļ׼×ķת":138438,"Ġ×IJ×Ļ׼×ķת×Ļ":138439,"ÑģоÑģ":138440,"Ġjeżeli":138441,"以ä¸ĭãģ®":138442,"å°ıãģķ":138443,"å°ıãģķãģª":138444,"ологии":138445,"ĠобÑģлÑĥж":138446,"ĠобÑģлÑĥжива":138447,"Ùĥتابة":138448,"Ġê´Ģìĭ¬":138449,"עש×Ļר":138450,"Ġarasındaki":138451,"ĠÑĢайона":138452,"ÙĪاجب":138453,"Ġ×ij×Ĺ×Ļ×Ļ":138454,"íķ´ì£¼":138455,"Ġgóc":138456,"айл":138457,"ĠTình":138458,"æļ®ãĤī":138459,"æļ®ãĤīãģĹ":138460,"æĻĤãģ«ãģ¯":138461,"ĠгоÑĢоде":138462,"Ġ׼×IJ×Ļ׾":138463,"Ġ׼×IJ×Ļ׾×ķ":138464,"ĠCá»Ļng":138465,"ãģ©ãģĨãģĹãģ¦ãĤĤ":138466,"×Ĺ×ķ×£":138467,"تØŃرÙĥ":138468,"ĠÑģловам":138469,"à¸Īะà¸Ĭà¹Īวย":138470,"ĠاÙĦÙħستÙĤبÙĦ":138471,"ÙĤض":138472,"ÙĤضÙĬ":138473,"×ijס×ķפ":138474,"×ijס×ķפ×ķ":138475,"iÄĻÄĩ":138476,"ĠYıl":138477,"Ø´ÙĬØ®":138478,"à¸Ħุà¸ĵà¸Īะ":138479,"ש×ŀ×ķת":138480,"Ġتعرض":138481,"Ġanálise":138482,"ĠÑģобиÑĢа":138483,"à¹Ģà¸ŀà¸Ĭ":138484,"à¹Ģà¸ŀà¸Ĭร":138485,"Ġвели":138486,"Ġвелик":138487,"สัà¹īà¸Ļ":138488,"Ġpopulação":138489,"รà¹Īวมà¸ģัà¸Ļ":138490,"×Ĺ×ŀ":138491,"×Ĺ×ŀ×Ļש×Ļ":138492,"ס×Ļס":138493,"åĨħãģ§":138494,"ĠsobÄħ":138495,"ĠYay":138496,"ĠYayın":138497,"ãĥ¡ãĥĭãĥ¥ãĥ¼":138498,"ĠпÑĢедоÑģÑĤавлÑı":138499,"ãģłãģ¨æĢĿãģĨ":138500,"Ġê³łê°Ŀ":138501,"Ġодним":138502,"à¹ĥà¸Ļà¹Ģรืà¹Īà¸Ńà¸ĩ":138503,"Ġsá»ķ":138504,"ĠÐĹдеÑģÑĮ":138505,"ĠизменениÑı":138506,"ĠìĿ¼ìĿĦ":138507,"ãģªãģ®ãģł":138508,"кладÑĭва":138509,"ÑĢма":138510,"Ġ×ķ×ij׼׾":138511,"تأÙħÙĬÙĨ":138512,"ĠпÑĢиÑıÑĤ":138513,"ĠпÑĢиÑıÑĤн":138514,"ÙħÙħار":138515,"ÙħÙħارسة":138516,"ãģ¨ãģªãģ£ãģ¦":138517,"ĠجÙħÙĬÙĦ":138518,"Ġì§Ī":138519,"Ġì§Ī문":138520,"Ġquestão":138521,"ié":138522,"iéndo":138523,"หà¹īà¸Ńà¸ĩà¸ŀัà¸ģ":138524,"ãĥijãĥ¼ãĥĪ":138525,"ÑĤвеÑĢжда":138526,"нÑģкой":138527,"зал":138528,"มุà¹Īà¸ĩ":138529,"á»Ĭ":138530,"Ġ×Ķ×IJ×Ĺר×ķ׳×Ķ":138531,"ĠThÆ°":138532,"주민":138533,"ĠاÙĦعب":138534,"évén":138535,"événement":138536,"ÙĤÙĪاعد":138537,"دÙı":138538,"ĠìķĬìĬµëĭĪëĭ¤":138539,"Ġ보기":138540,"Ġyapılması":138541,"à¹Ģราà¸ģ":138542,"à¹Ģราà¸ģà¹ĩ":138543,"ØŃذر":138544,"ÙĤصر":138545,"ãģ¦ãģĹãģ¾ãģĦãģ¾ãģĹãģŁ":138546,"Ġà¹Ģà¸Ľà¹ĩà¸Ļà¸ķà¹īà¸Ļ":138547,"ãģ¨ãģ«":138548,"ãģ¨ãģ«ãģĭ":138549,"ãģ¨ãģ«ãģĭãģı":138550,"нÑĨе":138551,"звÑĥк":138552,"ãģĹãĤĪãģĨãģ¨":138553,"ĠاÙĦصØŃÙĬØ©":138554,"Ġש×Ķ×Ļ×ķ":138555,"ĠDiÄŁer":138556,"ÙĤÙĦÙĤ":138557,"ãĤ¸ãĥ£ãĥ³":138558,"Ġrá»Ŀi":138559,"ĠлеÑĩ":138560,"ĠлеÑĩениÑı":138561,"تباد":138562,"تبادÙĦ":138563,"צפ×Ķ":138564,"à¸Ħวามà¹Ģหà¹ĩà¸Ļ":138565,"Ġشب":138566,"ĠشبÙĥØ©":138567,"ר×Ļק":138568,"Ùħعد":138569,"Ùħعدات":138570,"dıģında":138571,"Ġ×ijש׳×Ļ×Ŀ":138572,"Ġ×Ķ×Ļשר×IJ׾":138573,"Ġ×Ķ×Ļשר×IJ׾×Ļת":138574,"Ġsınav":138575,"׳צ×Ļ×Ĵ":138576,"วัà¸ķà¸ĸุ":138577,"ĠاÙĦبرÙĦÙħ":138578,"ĠاÙĦبرÙĦÙħاÙĨ":138579,"tivitÃł":138580,"ãĤĵãģłãĤįãģĨ":138581,"ק×Ļ×Ļ×ŀ":138582,"ÙĦÙĬÙĥ":138583,"ĠÄijò":138584,"ĠÄijòi":138585,"ĠÐĺнÑĤеÑĢ":138586,"ĠÐĺнÑĤеÑĢнеÑĤ":138587,"ãģ«ãģ¨ãģ£ãģ¦ãģ¯":138588,"ãģ£ãģĵ":138589,"ק×ķס":138590,"ستØŃÙĤ":138591,"æķĻãģĪãģ¦":138592,"ãĥĢãĥ¡":138593,"ĠÙħÙĨزÙĦ":138594,"à¹Ģà¸ĭà¹ĩà¸Ļ":138595,"使ãģĪãĤĭ":138596,"è¦ĭç©į":138597,"è¦ĭç©įãĤĤãĤĬ":138598,"Ø£Ùģ":138599,"Ø£ÙģÙĥار":138600,"ĠигÑĢов":138601,"ĠигÑĢовÑĭе":138602,"ĠmÄĻż":138603,"ĠmÄĻżczy":138604,"ĠmÄĻżczyzn":138605,"ĠاÙĦØŃÙĤÙĬÙĤÙĬ":138606,"عبر":138607,"׼×ķ׾׳×ķ":138608,"íĿ¥":138609,"×ŀ×IJ×ķ×Ĺר":138610,"ختص":138611,"ãĥŀãĥŀ":138612,"Ġ×IJ×Ĺ×ķ×ĸ":138613,"íĮĢ":138614,"Ġrá»iji":138615,"ĠвÑĤоÑĢ":138616,"ĠвÑĤоÑĢой":138617,"Ġlẫn":138618,"пÑĢом":138619,"пÑĢомÑĭÑĪ":138620,"пÑĢомÑĭÑĪлен":138621,"пÑĢомÑĭÑĪленн":138622,"ĠоÑĤноÑĪениÑı":138623,"Ġsứ":138624,"ĠмобилÑĮ":138625,"ĠмобилÑĮн":138626,"ĠÑįÑĤомÑĥ":138627,"Ġtạp":138628,"ĠìĤ¬ê±´":138629,"ĠìķĮ볤":138630,"ÙĥÙı":138631,"ÙĥÙıÙħÙĴ":138632,"Ġק×ķר×Ķ":138633,"ĠÑĦиÑĢ":138634,"ĠÑĦиÑĢм":138635,"Ġsıkıntı":138636,"׳׼":138637,"׳׼×ķף":138638,"ÙĪÙĦÙĪجÙĬ":138639,"ØŃاÙĨ":138640,"Ġloạn":138641,"Ġ×IJ×ľ×£":138642,"Ġmắn":138643,"abhäng":138644,"abhängig":138645,"ĠÑĥÑĢовнÑı":138646,"Ġ׾×ij×ĵ×ķק":138647,"ÙĬÙħÙĨ":138648,"layın":138649,"Ġhải":138650,"Ġзавод":138651,"ĠìķĦ주":138652,"สà¸ĸา":138653,"สà¸ĸาà¸ļัà¸Ļ":138654,"Ġgüvenlik":138655,"à¹Ģà¸Ķà¹Īà¸Ļ":138656,"×ij×ĵק":138657,"ĠëĪ":138658,"ĠëĪĦ":138659,"ĠëĪĦ구":138660,"éĩįè¦ģãģª":138661,"รà¸Ńà¸ĩรัà¸ļ":138662,"schlie":138663,"schlieÃŁen":138664,"Ġìĸ¼":138665,"Ġìĸ¼ë§Ī":138666,"Ġìĸ¼ë§ĪëĤĺ":138667,"ÑĤики":138668,"íķľëĭ¤ê³ł":138669,"ãģłãģ£ãģŁãĤī":138670,"Ġ×Ķ×Ļ×ĺ×ij":138671,"ãģªãģijãĤĮãģ°ãģªãĤīãģªãģĦ":138672,"âÌ":138673,"ậ":138674,"Ġphạt":138675,"akÄ±ÅŁ":138676,"ãģ¦ãģĹãģ¾ãģĦãģ¾ãģĻ":138677,"à¹Ģà¸ĭà¹ĩ":138678,"ĠСегоднÑı":138679,"Ġinsanların":138680,"Ġdéveloppe":138681,"תפר":138682,"תפר×Ļ×ĺ":138683,"اÙĨتشار":138684,"ê°ij":138685,"François":138686,"Ø£ÙĦع":138687,"Ø£ÙĦعاب":138688,"ãĤĴè¶ħ":138689,"ãĤĴè¶ħãģĪ":138690,"Ġê°ĻìĬµëĭĪëĭ¤":138691,"ãĤ³ãĥ¬":138692,"ĠмеÑģÑıÑĨев":138693,"íĮħ":138694,"ĠاÙĦجاÙħعة":138695,"ìĿ¸íĦ°":138696,"ìĿ¸íĦ°ëĦ·":138697,"×ĵר×ķש":138698,"ĠÙĪأشار":138699,"ĠпÑĢавила":138700,"ãģĿãģĵãģ«":138701,"×Ĺ×ŀ×ĵ":138702,"à¹Ģหà¸ķุà¸ģารà¸ĵà¹Į":138703,"Ġê²½íĹĺ":138704,"ãģ¶ãĤĬ":138705,"׾ש":138706,"׾ש×ķף":138707,"à¹Ģà¸ĸ":138708,"ĠDoÄŁu":138709,"ĠиÑģполÑĮзование":138710,"ĠçocuÄŁu":138711,"магазине":138712,"ĠÄijiá»ĥn":138713,"Ġaslı":138714,"Ġaslında":138715,"Ġdoença":138716,"Ġساع":138717,"Ġساعات":138718,"ĠиÑģполÑĮзованиÑı":138719,"ר×ķצ×Ļ×Ŀ":138720,"ĠзнаÑĩиÑĤ":138721,"ĠÑĢам":138722,"ĠÑĢамкаÑħ":138723,"거리":138724,"ĠпÑĭÑĤа":138725,"ãĥģãĥ³":138726,"ĠпоÑģк":138727,"ĠпоÑģколÑĮ":138728,"ĠпоÑģколÑĮкÑĥ":138729,"إبر":138730,"إبراÙĩ":138731,"إبراÙĩÙĬÙħ":138732,"ĠÑĤÑĢеÑħ":138733,"ĠGenç":138734,"سÙĪÙģ":138735,"ĠveÃŃculo":138736,"ĠNgân":138737,"ĠоÑĩеÑĢедÑĮ":138738,"à¸Ħรึà¹Īà¸ĩ":138739,"×IJ×ij×Ļ":138740,"à¸ķà¹īม":138741,"ãĤĴè¡ĮãģĦ":138742,"ĠاÙĦسابÙĤØ©":138743,"наÑĨи":138744,"наÑĨиона":138745,"наÑĨионалÑĮн":138746,"Ġgestión":138747,"تÙĤد":138748,"ĠاÙĦبÙĬاÙĨ":138749,"ĠاÙĦبÙĬاÙĨات":138750,"ĠاÙĦاÙĨتخاب":138751,"ĠاÙĦاÙĨتخابات":138752,"à¹Ģà¸Ĭà¹Īา":138753,"×ĵ×IJ×Ĵ":138754,"Ġ׾×Ĵ×ŀר×Ļ":138755,"ĠتØŃتاج":138756,"Ġthôn":138757,"à¸ķà¹īà¸Ńà¸Ļ":138758,"à¸ķà¹īà¸Ńà¸Ļรัà¸ļ":138759,"女ãģ®":138760,"女ãģ®åŃIJ":138761,"Ġthợ":138762,"Ø·ØŃÙĨ":138763,"ารà¹Įà¸Ķ":138764,"ת×ŀ×Ļ×ĵ":138765,"ĠÑģамÑĭм":138766,"Ġìĭľíĸī":138767,"إصد":138768,"إصدار":138769,"ĠNghá»ĩ":138770,"ìķķ":138771,"سئ":138772,"سئÙĦ":138773,"à¸Ńาร":138774,"à¸Ńารม":138775,"à¸Ńารมà¸ĵà¹Į":138776,"à¹ģฮ":138777,"׳×ĺ׾":138778,"Ġì¢ĭìķĦ":138779,"×ķ׾׾":138780,"Ġ×ij×Ľ×ª×ij":138781,"ãĤ«ãĥ©":138782,"צע×Ļר×Ļ×Ŀ":138783,"تعبÙĬر":138784,"Ġ×ŀקר×Ķ":138785,"ĠÑĦакÑĤоÑĢ":138786,"ĠتÙħاÙħ":138787,"ĠتÙħاÙħا":138788,"ëįķ":138789,"ĠvÆ°á»Ŀ":138790,"ĠvÆ°á»Ŀn":138791,"ĠdÄ±ÅŁÄ±":138792,"ãģĦãģ¡":138793,"Ġ׾ק׳×ķת":138794,"ĠاÙĦعÙĦاÙĤات":138795,"пÑĥб":138796,"пÑĥбли":138797,"Ø¥ÙĬÙħ":138798,"Ø¥ÙĬÙħاÙĨ":138799,"à¸Ńำà¸Ļา":138800,"à¸Ńำà¸Ļาà¸Ī":138801,"åIJ«ãģ¾ãĤĮ":138802,"ãĤĭãģŁãĤģãģ«":138803,"ס×Ĵ":138804,"ס×Ĵ׳×ķף":138805,"تØŃدÙĬ":138806,"Ġauprès":138807,"ĠاÙĦجÙĩا":138808,"ĠاÙĦجÙĩاز":138809,"Ġ×ŀת×Ĺת":138810,"еннÑĥÑİ":138811,"Ġзим":138812,"à¸ģาà¹ģà¸Ł":138813,"Ġ×ijת×ķר":138814,"Ġnghè":138815,"Ġnghèo":138816,"ĠÐĽÑİ":138817,"ĠÐĽÑİб":138818,"תקצ×Ļ×ij":138819,"×ŀעש×Ķ":138820,"ĠاÙĦبÙĬت":138821,"צ×Ļפ":138822,"ĠобÑıзан":138823,"ĠMá»Ĺi":138824,"ĠТÑĥÑĢ":138825,"ĠÙĪباÙĦت":138826,"ĠÙĪباÙĦتاÙĦÙĬ":138827,"Ġdécision":138828,"Ġبد":138829,"Ġبدأت":138830,"Ġcục":138831,"Ġbask":138832,"Ġbaskı":138833,"Ġhatırl":138834,"Ġhatırla":138835,"å°ıãģķãģĦ":138836,"Ġgerçekten":138837,"à¸ľà¸±à¸ģ":138838,"åı¯èĥ½ãģª":138839,"×ŀ×IJס":138840,"ĠcrÃŃtica":138841,"ĠìĿĺìĽIJ":138842,"عÙĤÙĪد":138843,"×ĺ׼׳":138844,"×ĺ׼׳×ķ׾×ķ×Ĵ×Ļ×Ķ":138845,"è¨ĢãģĪãģ°":138846,"ĠÙĤÙĨا":138847,"ĠÙĤÙĨاة":138848,"ĠìĿ´ê²ĥìĿĢ":138849,"تصر":138850,"à¸Łà¸±à¸Ļ":138851,"ĠÑĢеÑĨеп":138852,"ĠÑĢеÑĨепÑĤ":138853,"ĠبÙĨÙģس":138854,"ÑĢоÑĪ":138855,"ĠмаÑĢÑĤа":138856,"Ġsonras":138857,"Ġsonrası":138858,"×ķ×ijש":138859,"ãĥªãĤ¹ãĤ¯":138860,"ĠFrançais":138861,"á»ļ":138862,"ê°Ķ":138863,"Ġ×Ķ×ijר×Ļת":138864,"פ×Ļצ":138865,"פ×Ļצ×ķ×Ļ":138866,"ĠÙĦÙħاذا":138867,"ĠÐļиев":138868,"ĠÑģмÑĭÑģл":138869,"ê¸Īìľµ":138870,"ãĤ·ãĥ£ãĥ«":138871,"ãĥ©ãĤ¤ãĥĪ":138872,"ìĽĥ":138873,"×ŀ×Ĺר":138874,"ãĨį":138875,"Ġkullanım":138876,"Ġ×IJצ׾׳×ķ":138877,"ĠtÃłn":138878,"ãĥıãĥ¼":138879,"ãģ¨ãģ¨ãĤĤ":138880,"ãģ¨ãģ¨ãĤĤãģ«":138881,"ÑĢег":138882,"ÑĢеги":138883,"ÑĢегион":138884,"ãģªãģıãģªãĤĭ":138885,"Ġchảy":138886,"ĠجÙĩØ©":138887,"ÅĦskiej":138888,"à¸Ńีà¹Ģม":138889,"à¸Ńีà¹Ģมล":138890,"ãģįãģ£ãģ¨":138891,"ĠìĺĪìĤ°":138892,"Ġkitabı":138893,"Ġeducação":138894,"ĠbuluÅŁ":138895,"ологиÑı":138896,"ĠконкÑĢ":138897,"ĠконкÑĢеÑĤ":138898,"×Ĵ×Ļר":138899,"ĠпÑĢедлаг":138900,"ĠпÑĢедлагаеÑĤ":138901,"ĠYên":138902,"Ġíķľë²Ī":138903,"Ġ×ŀר׼×ĸ×Ļ":138904,"à¹Ģà¸Ľà¸´à¸Ķà¹Ģà¸ľà¸¢":138905,"ÑĤвеÑĢд":138906,"ĠHá»ĩ":138907,"ĠÐĵÑĢ":138908,"à¸Ŀà¹īา":138909,"×Ķשק":138910,"×Ķשקע×Ķ":138911,"ĠнаÑĥк":138912,"ìłIJìĿĦ":138913,"ĠнелÑĮ":138914,"ĠнелÑĮз":138915,"ĠнелÑĮзÑı":138916,"гин":138917,"ĠBöl":138918,"ĠBölge":138919,"Ġвла":138920,"ĠвлаÑģÑĤи":138921,"à¹Ģà¸Ļà¹ĩ":138922,"à¹Ģà¸Ļà¹ĩà¸ķ":138923,"골":138924,"Ġöld":138925,"Ġöldür":138926,"×Ľ×ł×¢":138927,"ĠاÙĦÙĩÙĬئة":138928,"تارÙĬØ®":138929,"ĠÐijÑĢ":138930,"ĠÑģмож":138931,"ĠÑģможеÑĤе":138932,"ĠLúc":138933,"à¹Ħà¸Ľà¸ĸึà¸ĩ":138934,"ĠBakanı":138935,"Ġerklärt":138936,"ĠÐIJна":138937,"Ġscène":138938,"åķıãģĦ":138939,"åķıãģĦåIJĪãĤıãģĽ":138940,"ÙħÙĩÙĨد":138941,"ÙħÙĩÙĨدس":138942,"Ġназвание":138943,"иваниÑı":138944,"ãĤĴå¤īãģĪ":138945,"ä»ĺãģįåIJĪ":138946,"ãĥijãĤ½":138947,"ãĥijãĤ½ãĤ³ãĥ³":138948,"æĺİãĤī":138949,"æĺİãĤīãģĭ":138950,"à¹Ģà¸Ńà¸ģสาร":138951,"à¹Ģà¸ģิà¸Ļà¹Ħà¸Ľ":138952,"леп":138953,"ãģĹãģŁãĤĤãģ®":138954,"ĠCâm":138955,"ĠCâmara":138956,"ק×ķ׾׳×ķ×¢":138957,"Ġ×ij×Ĵ×Ļף":138958,"Ġoczy":138959,"ĠoczywiÅĽcie":138960,"attivitÃł":138961,"ãĥĵãĥ¥ãĥ¼":138962,"Ġeducación":138963,"Ä°YE":138964,"ê¹ĮìļĶ":138965,"ãĤ¨ãĥªãĤ¢":138966,"неÑģÑĤи":138967,"Ġmóg":138968,"ĠmógÅĤ":138969,"Ġק×ĺ׳×Ļ×Ŀ":138970,"ĠPrä":138971,"Ġ×ľ×¢×ij×ķר":138972,"بÙĨÙī":138973,"зол":138974,"золоÑĤ":138975,"ĠwnÄĻtr":138976,"ĠwnÄĻtrz":138977,"Ġconstrução":138978,"รัà¸ļรà¸Ńà¸ĩ":138979,"سجÙĨ":138980,"Ġק×ķ׳":138981,"ס×Ļפ×ķר":138982,"ĠÙħدÙī":138983,"رضÙī":138984,"плав":138985,"ï¼¥":138986,"Ġila":138987,"Ġilaç":138988,"ãĤĭãģ¹ãģį":138989,"ĠÙħÙĪÙĤÙģ":138990,"à¸ģรุ":138991,"à¸ģรุà¸ĵา":138992,"chodzÄħc":138993,"ĠÑĤÑĭÑģ":138994,"ÐķвÑĢо":138995,"ĠÙĬØŃدث":138996,"ãĥ¡ãĤ¤ãĥ³":138997,"ĠاÙĦصØŃÙĬ":138998,"ĠÐĶан":138999,"دعاء":139000,"ãĤ´ãĥ¼ãĥ«":139001,"×©×ł×ª×Ļ":139002,"×©×ł×ª×Ļ×Ļ×Ŀ":139003,"à¸Ķà¹īวยà¸ģัà¸Ļ":139004,"Ġolacaģı":139005,"Ġ×ij×ŀ×Ĺ×Ļר":139006,"×Ķק":139007,"×Ķק×ŀת":139008,"ãĥ¢ãĥİ":139009,"ĠçalÄ±ÅŁtı":139010,"Ġjóvenes":139011,"ãģĦãģıãĤī":139012,"ĠÙħعدÙĦ":139013,"ĠCÅ©ng":139014,"ĠSegún":139015,"Ġdönemde":139016,"Ġ׾×Ļ×ĵ×Ļ":139017,"ãģįãģ¡":139018,"ãģįãģ¡ãĤĵ":139019,"ãģįãģ¡ãĤĵãģ¨":139020,"ÙģرÙĨس":139021,"ÙģرÙĨسا":139022,"åIJijãģį":139023,"Ġcampaña":139024,"ĠÑģамоÑģÑĤоÑı":139025,"ĠÑģамоÑģÑĤоÑıÑĤелÑĮно":139026,"á»Ģ":139027,"ÙĤÙĪا":139028,"سÙĦاØŃ":139029,"à¸ģระà¹ģ":139030,"à¸ģระà¹ģส":139031,"ĠполÑĮзÑĥ":139032,"nqu":139033,"nquête":139034,"รà¹Īวมà¸ģัà¸ļ":139035,"ëĬIJëĥIJ":139036,"à¸Ĺีมà¸Ĭาà¸ķิ":139037,"Ġyıllık":139038,"ìĬ¬":139039,"ĠأصØŃاب":139040,"illé":139041,"Ġdóla":139042,"Ġdólares":139043,"Ġкож":139044,"Ġкожи":139045,"ลà¹īà¸Ń":139046,"à¹Ģรียà¸ļร":139047,"à¹Ģรียà¸ļรà¹īà¸Ńย":139048,"à¹Ģà¸ŀิ":139049,"à¹Ģà¸ŀิà¹Īà¸ĩ":139050,"ÑĢиÑĤоÑĢи":139051,"Ġíijľ":139052,"ĠíijľíĺĦ":139053,"ĠпеÑĢев":139054,"ĠпеÑĢевод":139055,"פ×Ĵ×Ļ×¢×Ķ":139056,"ĠdeÄŁerlendirme":139057,"Ùģائ":139058,"ĠвÑĭгод":139059,"ınızı":139060,"×ķ׼×Ļ×Ĺ":139061,"ĠдоÑģÑĤиг":139062,"ĠngÃłn":139063,"æĢĿãģ£ãģŁ":139064,"ĠÐķÑģÑĤÑĮ":139065,"ĠاÙĦرغÙħ":139066,"ĠzwiÄħzane":139067,"ربط":139068,"à¸Ļึà¸ĩ":139069,"Ġ׾×Ĺ×ķק":139070,"Ġszczególn":139071,"Ġszczególnie":139072,"ĠباستخداÙħ":139073,"ĠfÃŃsico":139074,"עס":139075,"עס×ķק":139076,"سÙĦÙĪÙĥ":139077,"ĠاØŃد":139078,"ÑĩÑijÑĤ":139079,"×ĸ׼×Ķ":139080,"Ġlá»ĩnh":139081,"ĠÙĪØŃت":139082,"ĠÙĪØŃتÙī":139083,"à¸Ħวามสามารà¸ĸ":139084,"à¸Ńยูà¹Īà¹ģลà¹īว":139085,"à¸ģารà¹Ģà¸Ķิà¸Ļà¸Ĺาà¸ĩ":139086,"تخذ":139087,"צ×Ļ×ķ×ĵ":139088,"ĠاÙĦأس":139089,"ĠاÙĦأسÙĩÙħ":139090,"Ġtá»ĩ":139091,"ãģ£ãģ¦ãģĦãģ¦":139092,"สรุ":139093,"à¸ªà¸£à¸¸à¸Ľ":139094,"ĠкомÑĦ":139095,"ĠкомÑĦоÑĢÑĤ":139096,"ìĺ¤ëĬĶ":139097,"ĠÑĢазв":139098,"ĠÑĢазвива":139099,"ланд":139100,"hänge":139101,"ĠبÙĨسبة":139102,"à¹Ģà¸Ĥียว":139103,"עצ×Ŀ":139104,"Ġ×ľ×ľ×Ľ×ª":139105,"ÑģоÑĨиалÑĮн":139106,"Ġëĭ¤ìĿĮê³¼":139107,"Ġרש×ķ×ŀ":139108,"×ŀר×Ĺ×ij":139109,"سÙĤØ·":139110,"Ġalanı":139111,"ĠÄijá»ĩ":139112,"é£Łãģ¹ãĤĭ":139113,"à¸Ķึà¸ĩ":139114,"Ġgegenüber":139115,"ĠبÙĩØ°Ùĩ":139116,"à¸ĸืà¸Ńà¹Ģà¸Ľà¹ĩà¸Ļ":139117,"ëķħ":139118,"à¸Ħà¸Ļà¹Ħà¸Ĺย":139119,"ãĤ¢ãĤ¦":139120,"ãĤ¢ãĤ¦ãĥĪ":139121,"ศัà¸ģ":139122,"ศัà¸ģà¸Ķิ":139123,"ศัà¸ģà¸Ķิà¹Į":139124,"ÙĤÙĪاÙĨ":139125,"ÙĤÙĪاÙĨÙĬÙĨ":139126,"Ġhá»Ļp":139127,"ãģªãģıãģªãģ£ãģ¦":139128,"Ġ×IJ×ŀ׳":139129,"Ġ×IJ×ŀ׳×Ŀ":139130,"à¹Ģà¸ķืà¸Ńà¸Ļ":139131,"ĠзавиÑģим":139132,"ĠзавиÑģимоÑģÑĤи":139133,"ת×Ļ×IJ":139134,"ת×Ļ×IJ×ķר":139135,"å§ĭãĤģãģŁ":139136,"Ġngá»į":139137,"Ġngá»įt":139138,"íĴį":139139,"ê³¼ìŀ¥":139140,"Ġbại":139141,"ãģ§ãģįãģ¦":139142,"Ġcomeçar":139143,"à¸Ľà¸£à¸²à¸ģ":139144,"à¸Ľà¸£à¸²à¸ģà¸ı":139145,"ĠгодÑĭ":139146,"меÑģ":139147,"ĠاÙĦÙħستÙĪÙī":139148,"ĠÑģамÑĭе":139149,"ллеÑĢ":139150,"ãģ£ãģ¦ãģĹãģ¾ãģĦãģ¾ãģĻ":139151,"ãģ¨ãģ®ãģĵãģ¨":139152,"bió":139153,"à¸ģลà¹Īà¸Ńà¸ĩ":139154,"ĠاÙĦزÙĪج":139155,"ãģ«è¡Įãģ£ãģŁ":139156,"à¸Ħà¹Īà¸Ńà¸Ļ":139157,"à¸Ħà¹Īà¸Ńà¸Ļà¸Ĥà¹īาà¸ĩ":139158,"ĠbaÄŁl":139159,"ĠbaÄŁlant":139160,"ĠbaÄŁlantı":139161,"確ãģĭ":139162,"確ãģĭãģ«":139163,"ãĥľãĥ¼ãĥ«":139164,"çµĤãĤıãĤĬ":139165,"ש×ŀר":139166,"à¸Ĺีà¹Īสามารà¸ĸ":139167,"ÙĦزÙħ":139168,"даеÑĤÑģÑı":139169,"รัà¸ļà¸Ľà¸£à¸°":139170,"รัà¸ļà¸Ľà¸£à¸°à¸Ĺาà¸Ļ":139171,"å¤īãĤıãĤĬ":139172,"ï¼¢":139173,"ĠìĺĪìĪĺëĭĺ":139174,"ãĤĪãģĨãģ¨":139175,"มัà¸ģà¸Īะ":139176,"ĠHÆ°Æ¡ng":139177,"ÙĨÙģØ°":139178,"×ŀ×ĵ×ĵ":139179,"ĠìĿ¸ìłķ":139180,"ÑħодиÑĤÑĮ":139181,"ĠзавиÑģиÑĤ":139182,"×ķ×ĵ×Ļ×¢":139183,"ãģĵãģ¨ãģĮãģĤãĤĬãģ¾ãģĻ":139184,"عراÙĤ":139185,"سطØŃ":139186,"à¸ģำà¹Ħร":139187,"ëĵ¤ëıĦ":139188,"×Ļצ×Ļר×Ķ":139189,"ãģĨãģĵãģ¨":139190,"ÙĦاØŃÙĤ":139191,"ãģĦãĤĮãģ°":139192,"ĠиÑģполÑĮзÑĥÑİÑĤ":139193,"ĠBợi":139194,"Ġשק׾×Ļ×Ŀ":139195,"ÑĨикл":139196,"ÐIJÐŀ":139197,"Ġ×ijש׳×Ķ":139198,"ÙĨشط":139199,"Ġש×Ļ׳×ķ×Ļ":139200,"Ġש×Ļ׳×ķ×Ļ×Ļ×Ŀ":139201,"Ġpoblación":139202,"ĠHÆ°ng":139203,"ระว":139204,"ระวัà¸ĩ":139205,"رÙĬاضة":139206,"رصد":139207,"تÙĤÙĦÙĬ":139208,"تÙĤÙĦÙĬد":139209,"Ġülkem":139210,"Ġülkemiz":139211,"à¸Ĭะ":139212,"ãĤ¯ãĥªãĥ¼ãĥł":139213,"èģŀãģĦãģŁ":139214,"Ġważ":139215,"Ġważne":139216,"ê±°ëĵł":139217,"ê±°ëĵłìļĶ":139218,"×ŀ×IJ×ijק":139219,"×Ĺ×ĵש×ķת":139220,"ĠWroc":139221,"ĠWrocÅĤaw":139222,"ĠKültür":139223,"sist":139224,"sistência":139225,"×¢×ĸר×Ķ":139226,"ĠgÆ°Æ¡ng":139227,"รà¹īาà¸Ļà¸Ħà¹īา":139228,"ĠÙĪØ£ÙĪضØŃ":139229,"ándose":139230,"ãĤ·ãĥ¼ãĥ³":139231,"×IJ׳ר×Ĵ":139232,"×IJ׳ר×Ĵ×Ļ×Ķ":139233,"ãģªãģĦãģ§ãģĻ":139234,"Ġkhủng":139235,"Ġ문ìĦľ":139236,"Ġ×ij×ĵ×ijר":139237,"×ĵ×Ļ×ķ":139238,"×ĵ×Ļ×ķ×ķ×Ĺ":139239,"Ġrégl":139240,"ÙħÙĪاد":139241,"обоÑĢ":139242,"обоÑĢоÑĤ":139243,"Ġ×Ķ×ij׾":139244,"Ġ×Ķ×ij׾×ķ×Ĵ":139245,"ØŃاÙħ":139246,"ĠاÙĦعاص":139247,"ĠاÙĦعاصÙħØ©":139248,"пеÑĢаÑĤоÑĢ":139249,"تخÙĦ":139250,"تخÙĦص":139251,"ãģŁãģłãģĹ":139252,"تسÙħ":139253,"à¹Ĥรà¸ĩà¸ŀ":139254,"à¹Ĥรà¸ĩà¸ŀยา":139255,"à¹Ĥรà¸ĩà¸ŀยาà¸ļาล":139256,"ĠYük":139257,"ĠYüksek":139258,"Ġש׳×Ļת":139259,"Ġש׳×Ļ×ª×Ł":139260,"liÄŁe":139261,"Ġפת":139262,"Ġפת×ķ×Ĺ":139263,"ĠbeÄŁ":139264,"ĠbeÄŁen":139265,"Ġ×ŀ×ķר":139266,"Ġ×ŀ×ķר׼×ij":139267,"ĠرساÙĦØ©":139268,"íĨµìĭł":139269,"Ġavalia":139270,"Ġavaliações":139271,"Ġmanh":139272,"Ġmanhã":139273,"Ġìķŀ":139274,"Ġìķŀìľ¼ë¡ľ":139275,"ÙĤتر":139276,"ÙĤترØŃ":139277,"à¹Ģà¸ģืà¸Ń":139278,"à¹Ģà¸ģืà¸Ńà¸ļ":139279,"Ġproposé":139280,"Ø£Ùħا":139281,"Ø£ÙħاÙĥÙĨ":139282,"ĠÐŀÐŀ":139283,"ĠÐŀÐŀÐŀ":139284,"ÙħÙĤار":139285,"ÙħÙĤارÙĨØ©":139286,"ëĦIJ":139287,"ãģĦãģŁãģłãģı":139288,"ÙĤÙĬÙĦ":139289,"ĠнаÑĪиÑħ":139290,"ãĤ«ãĥĥãĥĹ":139291,"×Ĺ×ľ×ª":139292,"Ġëĭ¤ë§Į":139293,"à¸Ĺัà¹Īวà¹Ĥลà¸ģ":139294,"ãĥįãĤ¿":139295,"ØŃساس":139296,"ãģ«ãģªãĤĮ":139297,"جائ":139298,"جائزة":139299,"échange":139300,"économ":139301,"économie":139302,"ТÐĺ":139303,"×¡×ª×Ľ×ľ":139304,"à¸Ĺัà¹īà¸ĩสà¸Ńà¸ĩ":139305,"ĠاÙĦخاÙħ":139306,"ĠاÙĦخاÙħس":139307,"ק×ĺ×¢":139308,"auważ":139309,"à¸ľà¸¹à¹īà¸Ĭาย":139310,"à¹ģà¸Ľà¸¥à¸ģ":139311,"åIJĮæĻĤãģ«":139312,"знаниÑı":139313,"ãģĦãģŁãģłãģįãģ¾ãģĹãģŁ":139314,"Ġ×ŀ×ij׾×Ļ":139315,"à¸Ĥà¸Ńà¹ĥหà¹ī":139316,"ĠاÙĦتربÙĬØ©":139317,"Ġdécouvert":139318,"Ġżyciu":139319,"après":139320,"Ġyab":139321,"Ġyabanc":139322,"Ġyabancı":139323,"ĠbaÅŁlayan":139324,"ìĹĪëįĺ":139325,"Ġhesabı":139326,"Ġë§Įìķ½":139327,"ë§Īëĭ¤":139328,"ĠThánh":139329,"ãĥ´ãĤ¡":139330,"à¸Ľà¸£à¸±à¸ļà¸Ľà¸£":139331,"à¸Ľà¸£à¸±à¸ļà¸Ľà¸£à¸¸à¸ĩ":139332,"ĠMặc":139333,"à¹Ģหà¸ķà¸¸à¸ľà¸¥":139334,"ĠÐijез":139335,"ĠcapacitÃł":139336,"ÅĤeÅĽ":139337,"ĠпÑĢеим":139338,"ĠпÑĢеимÑĥÑīеÑģÑĤв":139339,"ĠÅļwiÄĻt":139340,"Ġpublié":139341,"×ŀעצ×ij":139342,"ÙħشارÙĥات":139343,"à¸łà¸²à¸©":139344,"à¸łà¸²à¸©à¸µ":139345,"Ġdeuxième":139346,"ĠÙħØŃاÙģظ":139347,"ĠÙħØŃاÙģظة":139348,"ĠSchön":139349,"､":139350,"Ġ×Ķ×ij×¢":139351,"Ġ×Ķ×ij×¢×Ļ×Ķ":139352,"ĠÙĪاÙĦÙĦÙĩ":139353,"è¨Ģãģ£ãģŁ":139354,"à¸ķà¹īาà¸Ļ":139355,"วรรà¸ĵ":139356,"à¸Ĺิศ":139357,"ĠbaÅŁÄ±na":139358,"ĠmogÄĻ":139359,"ש×Ļפ×ķר":139360,"ĠÙĪعد":139361,"ĠÙĪعدÙħ":139362,"Ġhistórico":139363,"Ġkısı":139364,"ĠìĿ´ê²Į":139365,"ĠPolÃŃtica":139366,"ĠÑģиÑĤÑĥаÑĨии":139367,"ĠkoÅĦca":139368,"×ij×ĵ×Ļק×Ķ":139369,"ĠاÙĦسÙĬارات":139370,"ãģªãĤīãģ°":139371,"ãĤµãĥ©":139372,"ãĤĭãģĵãģ¨ãģĮãģ§ãģįãĤĭ":139373,"Ġdecisão":139374,"×ķ×ķ×ĵ":139375,"läss":139376,"lässig":139377,"Ġ׾×Ļשר×IJ׾":139378,"ĠÙĬأتÙĬ":139379,"ר×ķ×ĸ":139380,"Ã¶ÄŁ":139381,"Ã¶ÄŁret":139382,"Ã¶ÄŁretim":139383,"Ġдек":139384,"Ġдекаб":139385,"ĠдекабÑĢÑı":139386,"Ġש×Ĺ×ķר":139387,"ãģ¦ãģıãĤĮãģŁ":139388,"عبارة":139389,"Ġélectrique":139390,"ĠاÙĦتÙĨÙħÙĬØ©":139391,"جرÙī":139392,"ĠìĪĺíĸī":139393,"à¸Ĺู":139394,"ĠÑĢеалÑĮно":139395,"ÑģпоÑģоб":139396,"à¸Ħลà¹īาย":139397,"ĠسعÙĪد":139398,"önü":139399,"ĠÙģÙħÙĨ":139400,"تÙĥÙĪ":139401,"تÙĥÙĪÙĬÙĨ":139402,"ĠкаÑĩеÑģÑĤво":139403,"ĠконÑĤак":139404,"ĠконÑĤакÑĤ":139405,"ĠsözleÅŁme":139406,"à¸Ńà¹īาà¸ĩ":139407,"ĠتÙĪÙģ":139408,"ĠتÙĪÙģÙĬر":139409,"×Ķ×ĸ×ĵ":139410,"×Ķ×ĸ×ĵ×ŀ׳×ķת":139411,"ĠØ·ÙĪÙĬÙĦØ©":139412,"Ġtérmino":139413,"Ġ×IJ×Ļפ×Ķ":139414,"ãĥĵãĥ«":139415,"สà¹Ĥม":139416,"สà¹Ĥมสร":139417,"ĠاÙĦاث":139418,"ĠاÙĦاثÙĨÙĬÙĨ":139419,"евиÑĩ":139420,"Ġopinión":139421,"à¸Ľà¸§à¸Ķ":139422,"åı¤ãģĦ":139423,"รà¹Īา":139424,"ĠBiaÅĤ":139425,"ĠÑģÑĤал":139426,"ĠÑģÑĤало":139427,"ólogo":139428,"ĠìķĦëĭĪëĭ¤":139429,"Ġ×IJ×Ļת":139430,"Ġ×IJ×Ļת×ķ":139431,"à¹Ģหà¹ĩà¸Ļวà¹Īา":139432,"à¸ļารà¹Į":139433,"çĦ¼":139434,"çĦ¼ãģį":139435,"ĠìĿ´ìļ©ìŀIJ":139436,"ĠнекоÑĤоÑĢÑĭе":139437,"ksz":139438,"ksztaÅĤ":139439,"ksztaÅĤc":139440,"ãĤŃãĥ£ãĥĥãĤ·":139441,"ãĤŃãĥ£ãĥĥãĤ·ãĥ³ãĤ°":139442,"ĠroÅĽ":139443,"ĠroÅĽlin":139444,"ÑĢажа":139445,"×ij׳×Ļ×Ļ×Ķ":139446,"à¸Ľà¸£à¸ªà¸´":139447,"à¸Ľà¸£à¸ªà¸´à¸ķ":139448,"Ġgördü":139449,"×ŀ׳×Ķ×Ļ×Ĵ":139450,"å¤īãĤıãģ£ãģ¦":139451,"Ġ×IJ×Ķ":139452,"Ġ×IJ×Ķ×ijת×Ļ":139453,"à¹Ģรà¹Īà¸ĩ":139454,"Ġönünde":139455,"Ġê·¸ëĥ¥":139456,"полиÑĤ":139457,"полиÑĤиÑĩеÑģк":139458,"ãĥ¡ãĥĩãĤ£":139459,"ãĥ¡ãĥĩãĤ£ãĤ¢":139460,"ĠDetay":139461,"ĠDetaylı":139462,"ĠاÙĦصÙģØŃØ©":139463,"à¸ģารà¹Ģà¸ĩิà¸Ļ":139464,"Ġìµľê·¼":139465,"׼ש׾":139466,"Ｉ":139467,"вÑĪего":139468,"íķĺìĭ¤":139469,"ĠÐŃÑĤ":139470,"ĠÐŃÑĤоÑĤ":139471,"สื":139472,"สืà¸ļ":139473,"Ġngừng":139474,"ĠдокÑĥменÑĤов":139475,"даваÑĤÑĮ":139476,"ĠاÙĦشخصÙĬØ©":139477,"Ġצע×Ļר":139478,"درÙĥ":139479,"سØŃب":139480,"à¹Ħมà¹Īà¸Ħà¹Īà¸Ńย":139481,"Ġ×Ķ×ŀק×ķ×ŀ×Ļ":139482,"สัà¹Īà¸ĩà¸ĭืà¹īà¸Ń":139483,"Ġê·¸ê²ĥìĿĦ":139484,"ãģĤãĤĭãģĦ":139485,"ãģĤãĤĭãģĦãģ¯":139486,"×IJ×ķ×ĺ×ķ×ij":139487,"×IJ×ķ×ĺ×ķ×ij×ķס":139488,"кÑĨион":139489,"ĠÐľÐ¾Ð¶Ð½Ð¾":139490,"ãģıãģł":139491,"ãģıãģłãģķ":139492,"ĠинÑĦоÑĢмаÑĨиÑı":139493,"ï»Ł":139494,"ĠìŀijìĹħ":139495,"Ġ×Ļ×ķסף":139496,"إدارة":139497,"ĠاÙĦØŃاج":139498,"×ł×¡×Ļ×¢×Ķ":139499,"изаÑĨиÑı":139500,"×IJ׾×ij":139501,"×IJ׾×ij×ķ×Ŀ":139502,"пед":139503,"Ġק×ĺ׳×Ķ":139504,"ĠÙĨÙģسÙĩا":139505,"ĠMinistério":139506,"Ġпен":139507,"ĠпенÑģи":139508,"ãĥIJãĥ©ãĥ³ãĤ¹":139509,"Ġ×Ķת×ķר×Ķ":139510,"Ġtạm":139511,"ĠìĹŃìĭľ":139512,"｡":139513,"Ġthá»±":139514,"Ġısı":139515,"컨":139516,"ãģĹãģ£ãģĭãĤĬãģ¨":139517,"ĠxÆ°a":139518,"Ġcặp":139519,"×Ĺ×Ļ×ij×ķר":139520,"วัà¸Ĵà¸Ļà¸ĺรรม":139521,"stär":139522,"stärke":139523,"ĠÑģамÑĭй":139524,"pisa":139525,"pisaÄĩ":139526,"ĠoluÅŁan":139527,"ĠاÙĦØ¥ÙħاÙħ":139528,"ĠcÄĥng":139529,"Ġgünl":139530,"Ġgünlük":139531,"Ġ׳ש×IJר":139532,"Ġkhiá»ĥn":139533,"ç¶ļãģijãĤĭ":139534,"stitución":139535,"Ġcapacité":139536,"Ġjaki":139537,"ĠjakiÅĽ":139538,"вÑĪиÑģ":139539,"вÑĪиÑģÑĮ":139540,"פע×ķ׾×ķת":139541,"ĠØŃÙĬات":139542,"ĠØŃÙĬاتÙĩ":139543,"Ġникогда":139544,"ÐĽÐ¬":139545,"Ġ×Ķ×¢×ķ×ij":139546,"Ġ×Ķ×¢×ķ×ij×ĵ×Ķ":139547,"ĠchÃło":139548,"หลายà¹Ĩ":139549,"ĠÑıн":139550,"ĠÑıнваÑĢ":139551,"ĠÑıнваÑĢÑı":139552,"à¸Īำà¹Ģà¸Ľà¹ĩà¸Ļà¸ķà¹īà¸Ńà¸ĩ":139553,"Ġhöher":139554,"ãģķãĤĮãģ¦ãģĦãģŁ":139555,"สà¸ĩสั":139556,"สà¸ĩสัย":139557,"ĠاÙĦاس":139558,"ĠاÙĦاسÙĦاÙħ":139559,"ĠاÙĦØ´Ùħس":139560,"สà¸ĸาà¸Ļี":139561,"ãĤ¯ãĥ©ãĤ¹":139562,"à¸ŀรร":139563,"à¸ŀรรà¸Ħ":139564,"põ":139565,"põe":139566,"Ġporém":139567,"à¸Ľà¸£à¸°à¸ªà¸ĩ":139568,"à¸Ľà¸£à¸°à¸ªà¸ĩà¸Ħà¹Į":139569,"powiedzie":139570,"powiedzieÄĩ":139571,"ĠмогÑĥ":139572,"Ġжел":139573,"Ġжелез":139574,"ĠاÙĦØ«ÙĤ":139575,"ĠاÙĦØ«ÙĤاÙģÙĬ":139576,"ĠпÑĢавило":139577,"Ġgdyż":139578,"פש×ķ×ĺ":139579,"ÑĢабоÑĤка":139580,"ĠÙĥرة":139581,"شدد":139582,"ÙħارÙĥ":139583,"ÙħÙĥØ©":139584,"ĠподпиÑģ":139585,"×ĺ×ķ×ķ×Ĺ":139586,"ĠÅĽc":139587,"ĠÅĽcian":139588,"ĠرجاÙĦ":139589,"Ġ×ª×ľ×ķ×Ļ":139590,"иÑĪ":139591,"иÑĪÑĮ":139592,"Ġmédec":139593,"Ġmédecin":139594,"ëįĶëĿ¼ëıĦ":139595,"ĠÑĤебÑı":139596,"Ġ׾×Ķ×ķס×Ļ×£":139597,"ãģĬ話":139598,"Ġà¹ģà¸ķà¹Īà¸ģà¹ĩ":139599,"داÙģ":139600,"داÙģع":139601,"ĠCùng":139602,"ãĥ»ãĥ»ãĥ»ãĥ»":139603,"ê¶ģ":139604,"ĠdeberÃŃa":139605,"หà¸Ļà¹Īวยà¸ĩาà¸Ļ":139606,"ĠvaÌĢ":139607,"Ġעצ×ŀ":139608,"Ġעצ×ŀ×Ŀ":139609,"à¹Ģà¸Ĭืà¹Īà¸Ńวà¹Īา":139610,"שקע":139611,"Ġ×Ķ׼×ķ׾":139612,"Ġ×Ķ׼×ķ׾׾":139613,"нибÑĥд":139614,"нибÑĥдÑĮ":139615,"ĠëĦĪíĿ¬":139616,"ĠобÑĢаÑī":139617,"ĠобÑĢаÑīа":139618,"Ġ×¢×ij×ķ×ĵת":139619,"ĠاÙĦÙħÙĨتخب":139620,"ıyord":139621,"ıyordu":139622,"ÙĪØ°":139623,"×Ĺש×Ļ×ij×ķת":139624,"Ġ×Ķ×¢×Ļק":139625,"Ġ×Ķ×¢×Ļקר×Ļ":139626,"ì¢Į":139627,"ยุà¹Ĥร":139628,"ยุà¹Ĥà¸£à¸Ľ":139629,"ĠапÑĢ":139630,"ĠапÑĢелÑı":139631,"szed":139632,"szedÅĤ":139633,"дон":139634,"à¹Ģà¸ķิà¸ļ":139635,"à¹Ģà¸ķิà¸ļà¹Ĥà¸ķ":139636,"коло":139637,"Ġkażdej":139638,"帰":139639,"帰ãĤĬ":139640,"Ġмилли":139641,"Ġмиллион":139642,"ç¾İåij³ãģĹãģĦ":139643,"تÙĤار":139644,"تÙĤارÙĬر":139645,"ĠìĿ´ë£¨":139646,"ĠìĿ´ë£¨ìĸ´":139647,"Ġsprzedaż":139648,"×Ķ×ķצ×IJ×ķת":139649,"ãĤ¢ãĤ¯ãĤ»":139650,"ãĤ¢ãĤ¯ãĤ»ãĤ¹":139651,"ר×ķ×¥":139652,"ĠгоÑģÑĥдаÑĢÑģÑĤвенн":139653,"Ø£ØŃÙĥ":139654,"Ø£ØŃÙĥاÙħ":139655,"ĠoluÅŁu":139656,"ĠAç":139657,"ĠAçık":139658,"ãĤ¸ãĥ¼":139659,"ç´łæĻ´":139660,"ç´łæĻ´ãĤīãģĹãģĦ":139661,"Ġ×ijש×ij×ķ×¢":139662,"بذ":139663,"بذÙĦ":139664,"สาà¹Ģหà¸ķุ":139665,"Ġpozosta":139666,"ĠpozostaÅĤ":139667,"ØŃرÙħ":139668,"Ġimportância":139669,"leÅŁtirme":139670,"ĠдÑĢев":139671,"Ġmóvil":139672,"ĠAynı":139673,"Ġналог":139674,"Ġналогов":139675,"Ġ×Ĺ×Ļפ×Ķ":139676,"ĠÑĦоÑĢмÑĥ":139677,"à¸Ĺà¸Ķสà¸Ńà¸ļ":139678,"ĠksiÄħżki":139679,"ĠmaÅĤe":139680,"ÙħسأÙĦ":139681,"ÙħسأÙĦØ©":139682,"＾＾":139683,"çãeste":139684,"éviter":139685,"ĠконÑģÑĤÑĢÑĥк":139686,"ĠконÑģÑĤÑĢÑĥкÑĨи":139687,"ï¾ŀ":139688,"Ġת×ķ׼׳":139689,"ãĤ¹ãĥĪãĥ¬ãĤ¹":139690,"ĠاÙĦاÙĤتصادÙĬ":139691,"×ŀ×ĵ×Ļ":139692,"ĠwÅĤad":139693,"ĠwÅĤadz":139694,"Ø®ÙĪÙģ":139695,"ĠмаÑĤеÑĢиалов":139696,"ãģ¨ãģ£ãģ¦ãĤĤ":139697,"Ġznajdu":139698,"ĠznajdujÄħ":139699,"Ùģئة":139700,"ãģ©ãģ®ãĤĪãģĨãģª":139701,"æĬijãģĪ":139702,"׳×Ĺ׾":139703,"Ġdüny":139704,"Ġdünyan":139705,"Ġdünyanın":139706,"гÑĢани":139707,"гÑĢаниÑĩ":139708,"Ġ×Ķש׾×Ļש×Ļ":139709,"Ġ×Ķ×IJש":139710,"åıĬãģ³":139711,"ìĭŃìĭľ":139712,"ìĭŃìĭľìĺ¤":139713,"Ġдолл":139714,"ĠдоллаÑĢ":139715,"ĠповÑĤоÑĢ":139716,"Ġ×Ĺ×Ļ׳×Ŀ":139717,"תפת×Ĺ":139718,"Ñĥвели":139719,"ÑĥвелиÑĩен":139720,"ãĤ«ãĥª":139721,"rawid":139722,"rawidÅĤow":139723,"×ķ×ķ׾":139724,"ãĥŁãĥ¥":139725,"ì½ĺ":139726,"ĠByÅĤ":139727,"ÐľÐIJ":139728,"عÙIJ":139729,"ĠÑģовеÑĢÑĪ":139730,"ĠÑģовеÑĢÑĪенно":139731,"Ġмой":139732,"Ġ×ķ׾×IJ×Ĺר":139733,"æħ£":139734,"æħ£ãĤĮ":139735,"ØŃاÙģظ":139736,"Ġ무ë£Į":139737,"à¸Ħà¸ĵะà¸ģรรม":139738,"à¸Ħà¸ĵะà¸ģรรมà¸ģาร":139739,"Ġìĸ´ëĶĶ":139740,"Ġdiferen":139741,"Ġdiferença":139742,"ĠاÙĦأساس":139743,"ĠاÙĦأساسÙĬØ©":139744,"Ġ׾×IJ×Ĺר×ķ׳×Ķ":139745,"ê·ł":139746,"Ġ×Ķש׳×Ļ×Ļ×Ķ":139747,"ìľĦìĽIJìŀ¥":139748,"ลุà¸ģ":139749,"çiler":139750,"Ġ×Ķ×IJ׾×ķ":139751,"èģŀãģı":139752,"Ġ×ķ×IJפ×Ļ׾×ķ":139753,"ĠÑĢеализ":139754,"ĠÑĢеализаÑĨи":139755,"ระยะà¹Ģวลา":139756,"ĠجداÙĭ":139757,"تباع":139758,"ĠvehÃŃculo":139759,"Ġдолг":139760,"à¸Ľà¸£à¸´à¸¡à¸²à¸ĵ":139761,"ì¦IJ":139762,"Ġ׾×ŀק×ķ×Ŀ":139763,"ĠìĤ¬ì§Ħ":139764,"à¸Ĭà¹īา":139765,"Ġ×ŀ×¢×ķ׾×Ķ":139766,"Ġgörm":139767,"Ġgörmek":139768,"ĠÙĪÙĩØ°Ùĩ":139769,"пеÑĢв":139770,"пеÑĢвÑĭÑħ":139771,"ê·¸ëŀĺ":139772,"ĠاÙĦبرÙĬØ·":139773,"ĠاÙĦبرÙĬطاÙĨÙĬ":139774,"ĠиÑİнÑı":139775,"ĠÐĵоÑĢ":139776,"Ġ׾ש׾×Ŀ":139777,"ÐIJÐĿ":139778,"ĠназнаÑĩен":139779,"ооÑĢ":139780,"ооÑĢÑĥж":139781,"Ġözelli":139782,"ĠözelliÄŁi":139783,"Ġниже":139784,"ç¶ļãģijãģ¦":139785,"ĠаÑĢенд":139786,"Ġkatılı":139787,"Ġkatılım":139788,"ĠإطÙĦاÙĤ":139789,"ĠÙĪإذا":139790,"ĠокÑĤÑı":139791,"ĠокÑĤÑıбÑĢÑı":139792,"à¹Ĥà¸ķà¹":139793,"à¹Ĥà¸ķà¹Ĭ":139794,"à¹Ĥà¸ķà¹Ĭะ":139795,"Ġoldukları":139796,"ÙħÙĪÙĤع":139797,"ëĤ©":139798,"ãģ¨æĢĿãģ£ãģ¦ãģĦãĤĭ":139799,"Ġש×Ļ׼×ķ׾":139800,"วาà¸Ķ":139801,"سÙĬÙĦ":139802,"à¸Ĥวั":139803,"à¸Ĥวัà¸į":139804,"تØŃÙĥÙħ":139805,"ìĤŃ":139806,"Ġconnaît":139807,"×ł×¤×ª×Ĺ":139808,"Ġchặ":139809,"Ġchặn":139810,"ĠÙħØŃÙħ":139811,"ĠÙħØŃÙħÙĪد":139812,"ãģ´":139813,"ĠпÑĢодÑĥкÑĨии":139814,"здÑĢав":139815,"ãģĶè¦":139816,"ãģĶ覧":139817,"×IJ×ij×IJ":139818,"Ġvéritable":139819,"ĠØ·ÙģÙĦ":139820,"ãĥĪãĥ©ãĥĸãĥ«":139821,"곡":139822,"Ġת×ŀ×ķ׳×Ķ":139823,"Ġkiên":139824,"ĠÙĤادر":139825,"Ø¥ÙĤÙĦÙĬÙħ":139826,"ĠпÑĢедпÑĢи":139827,"ĠпÑĢедпÑĢиÑıÑĤиÑı":139828,"ĠbÄĥng":139829,"Ġayında":139830,"Ġgấp":139831,"еÑħал":139832,"ĠgiÃłnh":139833,"Ġдав":139834,"Ġдавно":139835,"ìĺĢëĭ¤":139836,"à¸Ļัà¸ģà¹Ģà¸ķ":139837,"à¸Ļัà¸ģà¹Ģà¸ķะ":139838,"Ùħستشار":139839,"ستراتÙĬج":139840,"ستراتÙĬجÙĬ":139841,"رÙħز":139842,"ĠtÄ©nh":139843,"ë¡Ń":139844,"ĠÑĩеÑĤ":139845,"ĠÑĩеÑĤÑĭ":139846,"ĠÑĩеÑĤÑĭÑĢе":139847,"ĠEntão":139848,"Ġصغ":139849,"ĠصغÙĬرة":139850,"×ij×Ļ×ĺ×ķ׾":139851,"خطÙĪØ·":139852,"ĠÑĢазвиÑĤие":139853,"Ġamacıyla":139854,"à¸Ĺีวี":139855,"ĠоÑģÑĤ":139856,"ĠоÑģÑĤалÑĮн":139857,"ש×ķ׾×Ĺף":139858,"Ġ׼׳×Ļס":139859,"Ġ׼׳×Ļס×Ķ":139860,"ĠdáºŃy":139861,"ĠyaÅŁayan":139862,"Ġ×ŀ×Ķ×ķ×ķ×Ķ":139863,"ĠÑĥÑģи":139864,"ĠÑĥÑģили":139865,"×ŀפ×Ļ":139866,"ĠпÑĢоведениÑı":139867,"Ġرب":139868,"ĠربÙħا":139869,"ĠاÙĦØ£ÙĪسط":139870,"Ġìľłì§Ģ":139871,"Ġpracownik":139872,"Ġpracowników":139873,"×ŀס×ķרת":139874,"ÙĤارب":139875,"à¸Ħวามรูà¹īสึà¸ģ":139876,"à¹ģหละ":139877,"ĠاÙĦÙĨÙĤد":139878,"Ġ×IJ׾פ×Ļ":139879,"Ùħسئ":139880,"ÙħسئÙĪÙĦ":139881,"евÑĭÑħ":139882,"клÑİÑĩениÑı":139883,"×ij×Ļ׳":139884,"×ij×Ļ׳×Ļ×Ķ×Ŀ":139885,"ש×ķ×IJ×Ķ":139886,"ĠÅŁark":139887,"ĠÅŁarkı":139888,"Ġsürec":139889,"Ġsürecin":139890,"à¹Ģà¸Ħรà¸Ķ":139891,"à¹Ģà¸Ħรà¸Ķิà¸ķ":139892,"ãĥIJãĥ¬":139893,"ĠشأÙĨ":139894,"à¹Ģà¸Ńาà¹Ħวà¹ī":139895,"niÄĻcie":139896,"רצ×Ĺ":139897,"ĠaÅŁama":139898,"׳פ×Ĵ×¢":139899,"Ġthá»Ŀ":139900,"Ġkhuẩn":139901,"diÄŁinde":139902,"ÑıÑīиÑħ":139903,"ãĥĺãĥ«":139904,"Ġüberh":139905,"Ġüberhaupt":139906,"ĠÑĤÑĢебова":139907,"ĠdÅĤugi":139908,"×ĺ×Ļף":139909,"à¸Ĥà¸Ļาà¸Ķà¹ĥหà¸įà¹Ī":139910,"ĠاÙĦØ£Ùĩ":139911,"ĠاÙĦØ£ÙĩÙĦÙĬ":139912,"ĠMüd":139913,"ĠMüdürü":139914,"Ġ×Ļ×Ķ×ķ×ĵ×Ķ":139915,"ÑĭваеÑĤÑģÑı":139916,"ساط":139917,"×Ķ×ª×ł×Ķ×Ĵ":139918,"×Ķ×ª×ł×Ķ×Ĵ×ķת":139919,"à¸ģà¸²à¸£à¸ľà¸¥à¸´à¸ķ":139920,"íĴĢ":139921,"สà¸ĸาà¸Ļà¸ģารà¸ĵà¹Į":139922,"ĠоÑĦ":139923,"ĠоÑĦиÑģ":139924,"ĠÙĦعبة":139925,"ĠstronÄĻ":139926,"Ġר×IJ×ķ×Ļ":139927,"×Ĺ×ij׾":139928,"ĠÑĢÑĭн":139929,"ĠÑĢÑĭнке":139930,"Ġ׾×ŀ×¢×Ł":139931,"اسÙĦ":139932,"หัà¸Ļ":139933,"Ġ×IJ×Ĺ×Ļ":139934,"ĠпÑĢодол":139935,"ê°Ģìŀħ":139936,"Ġ×ijר×Ĺ":139937,"Ġ×ijר×Ĺ×ij×Ļ":139938,"джеÑĢ":139939,"Ġ׾×Ĺ׾":139940,"Ġ׾×Ĺ׾×ķ×ĺ":139941,"Ġ׾×Ĺ׾×ķ×ĺ×Ļף":139942,"ศาสà¸Ļา":139943,"ãĤ¢ãĤ¤ãĥĨ":139944,"ãĤ¢ãĤ¤ãĥĨãĥł":139945,"Ġפר×ķפ":139946,"جزاء":139947,"ลà¸Ńย":139948,"ĠciaÅĤa":139949,"Ġgiết":139950,"ĠзнаÑĩиÑĤелÑĮно":139951,"Ġolmadıģ":139952,"Ġolmadıģını":139953,"нд":139954,"ндекÑģ":139955,"تأÙĥد":139956,"Ġìĸ¸":139957,"Ġìĸ¸ìłľ":139958,"aydın":139959,"ãĥīãĥ¬ãĤ¹":139960,"Ġsắt":139961,"Ġíĺ¸íħĶ":139962,"Ġë¶ģ":139963,"Ġë¶ģíķľ":139964,"ãĥijãĤ¤":139965,"Ġ×ŀש×Ĺק×Ļ":139966,"à¸Ħà¸Ļà¸Ńืà¹Īà¸Ļ":139967,"ĠизгоÑĤов":139968,"ĠизгоÑĤовлен":139969,"à¹Ģà¸ģียร":139970,"à¹Ģà¸ģียรà¸ķิ":139971,"תקשר":139972,"ĠÑĢаÑģÑĩеÑĤ":139973,"สà¹Ģà¸ķ":139974,"Ġlänger":139975,"ĠiÅŁlet":139976,"ĠiÅŁletme":139977,"ĠعÙĦÙĬÙĨ":139978,"ĠعÙĦÙĬÙĨا":139979,"élection":139980,"ĠاÙĦغربÙĬØ©":139981,"íĭĢ":139982,"ãĤĤãĤīãģĪ":139983,"Ġкниги":139984,"أسÙħ":139985,"أسÙħاء":139986,"Ġthá»ı":139987,"Ġthá»ıa":139988,"หà¸Ļู":139989,"Ġ×ł×¢×©×Ķ":139990,"à¸łà¸²à¸¢à¹ĥà¸ķà¹ī":139991,"à¸ŀืà¸Ĭ":139992,"رÙĬØ·":139993,"ÙģÙĪض":139994,"ãģĤãĤĬãģĮãģ¨ãģĨãģĶãģĸãģĦãģ¾ãģĹãģŁ":139995,"ש×ĵ×Ķ":139996,"Ġngá»±c":139997,"ĠÑģеÑĢÑĮ":139998,"ĠÑģеÑĢÑĮезн":139999,"Tôi":140000,"Ġfiyatları":140001,"ĠвÑģÑİ":140002,"ĠCódigo":140003,"Ġ×Ķש×IJ":140004,"Ġ×Ķש×IJ׾×Ķ":140005,"ĠPública":140006,"إخ":140007,"إخÙĪاÙĨ":140008,"ĠзаÑıвил":140009,"ãĥ¦ãĥ¼":140010,"ר×IJ×Ļת":140011,"volución":140012,"Ġszko":140013,"ĠszkoÅĤy":140014,"جرÙĬدة":140015,"Ġpensé":140016,"ìī¬":140017,"ĠBüyükÅŁehir":140018,"ĠØ£ÙħرÙĬ":140019,"ĠØ£ÙħرÙĬÙĥÙĬ":140020,"à¸Ļัà¸ģศึà¸ģษา":140021,"Ġtodav":140022,"ĠtodavÃŃa":140023,"ĠСан":140024,"ĠСанкÑĤ":140025,"íķĺìŀIJ":140026,"ØŃÙĪاÙĦ":140027,"׼×ķשר":140028,"à¹Ģลยà¸Ħรัà¸ļ":140029,"Ġalgu":140030,"Ġalguém":140031,"Ùģز":140032,"Ġçekil":140033,"Ġ×ĵר׼×Ļ×Ŀ":140034,"ãĥIJãĥ©":140035,"à¸ģà¹ĩสามารà¸ĸ":140036,"สà¹Īวà¸Ļลà¸Ķ":140037,"íı°":140038,"ĠPúb":140039,"ĠPúblico":140040,"à¹ģà¸Ļวà¸Ĺาà¸ĩ":140041,"×IJת×Ĵר":140042,"شاش":140043,"شاشة":140044,"ciÅĽni":140045,"ĠÃľrün":140046,"ÙĦÙĪØŃ":140047,"ĠاÙĦبÙĨ":140048,"ĠاÙĦبÙĨÙĥ":140049,"ì¡°ì¹ĺ":140050,"Ġorganización":140051,"ãģĤãĤĬãģĮãģ¨ãģĨãģĶãģĸãģĦãģ¾ãģĻ":140052,"sätze":140053,"ĠÑģемей":140054,"ÙĤصد":140055,"ÑģÑĤвеннÑĭе":140056,"Ġprécéd":140057,"Ġprécédent":140058,"à¸ģรุà¸ĩà¹Ģà¸Ĺà¸ŀฯ":140059,"ãģ¨è¨ĢãģĦ":140060,"×ij׳×Ļ×Ļף":140061,"ĠØŃÙĪ":140062,"ĠØŃÙĪاÙĦÙĬ":140063,"סקס":140064,"ĠsaÄŁlamak":140065,"Ġ׾צ×Ļ×Ļף":140066,"ק×ĵש":140067,"Ġ×Ķ×ŀ×¢×¨×Ľ×ª":140068,"Ġ׾×Ķ×¢×ij×Ļר":140069,"Ġgünd":140070,"Ġgündem":140071,"ĠнаÑĪего":140072,"à¹ĥà¸Ļà¸ŀืà¹īà¸Ļà¸Ĺีà¹Ī":140073,"à¹Ģà¸Ħรืà¸Ń":140074,"à¹Ģà¸Ħรืà¸Ńà¸Ĥ":140075,"à¹Ģà¸Ħรืà¸Ńà¸Ĥà¹Īาย":140076,"ظاÙĩرة":140077,"ÙħÙĨظÙħ":140078,"ÙħÙĨظÙħات":140079,"Ùħتاز":140080,"追ãģĦ":140081,"dıkt":140082,"dıktan":140083,"ĠëįĶìļ±":140084,"ĠÐĿапÑĢимеÑĢ":140085,"twór":140086,"×ŀ×ķעצ×Ķ":140087,"ÙĥÙĪÙĥ":140088,"Щ":140089,"×ŀ×ĺפ׾":140090,"ólica":140091,"訪ãĤĮ":140092,"ĠëĮĢë¶Ģ":140093,"ĠëĮĢë¶Ģë¶Ħ":140094,"ãĤ¯ãĥªãĥĥãĤ¯":140095,"ãĤĴéģ¸":140096,"ãĤĴéģ¸ãģ¶":140097,"Ġpowsta":140098,"ĠpowstaÅĤ":140099,"Ġrazón":140100,"×ij×ķ×Ĺר":140101,"ĠÑģообÑīил":140102,"Ġק×ij×ķ×¢":140103,"rêt":140104,"à¸Ķีà¸Ĥึà¹īà¸Ļ":140105,"×ŀסע×ĵ":140106,"×ŀסע×ĵ×ķת":140107,"ĠÃĸsterreich":140108,"Ġ׳×Ĺש×ij":140109,"Ùħبادرة":140110,"ì´ī":140111,"×Ĵ׳×ĺ×Ļ":140112,"ä¿¡ãģĺ":140113,"duÄŁ":140114,"duÄŁunu":140115,"Ġphú":140116,"ĠاÙĦأخÙĬر":140117,"Ġتعتبر":140118,"landırıl":140119,"ãģ¨ãģ¯ãģĦ":140120,"ãģ¨ãģ¯ãģĦãģĪ":140121,"ĠاÙĦØ·ÙĦ":140122,"ĠاÙĦØ·ÙĦاب":140123,"ĠNº":140124,"éģ¿ãģij":140125,"اÙĦÙħع":140126,"اÙĦÙħعرÙĪÙģ":140127,"à¸ªà¸łà¸²":140128,"éĽ¢ãĤĮ":140129,"ĠпомоÑīÑĮ":140130,"ĠзнаеÑĤ":140131,"ãĥĹãĥ¬ãĤ¼":140132,"ãĥĹãĥ¬ãĤ¼ãĥ³ãĥĪ":140133,"Ġsupérieur":140134,"Ġש׾×Ļש×Ļ":140135,"ĠاÙĦÙĨÙĪع":140136,"ãĤĵãģ§ãģĻãģŃ":140137,"à¸Ńà¸ļรม":140138,"Ġgiá»įng":140139,"ĠwzglÄĻd":140140,"ĠاÙĦÙģÙĤر":140141,"èrent":140142,"Ġ×ŀ×IJ×Ĺ":140143,"Ġ×ŀ×IJ×Ĺ×ķר×Ļ":140144,"×Ĵ×Ĵ":140145,"×Ļ×Ļ×ij":140146,"ÙħÙĦاب":140147,"ÙħÙĦابس":140148,"Ġhükü":140149,"Ġhükümet":140150,"Ġ×ŀ×Ĵ×Ļ×ij":140151,"ĠÐŀÑĩ":140152,"ĠÐŀÑĩенÑĮ":140153,"æĹ©ãģĦ":140154,"Ġconstrucción":140155,"Ġthượng":140156,"ï¼ĭ":140157,"Ġcoração":140158,"à¹Ģหลà¹ĩà¸ģ":140159,"ĠBaÅŁb":140160,"ĠBaÅŁbakan":140161,"éĢ£ãĤĮ":140162,"ãģĻãĤĭãģĵãģ¨ãģĮãģ§ãģįãģ¾ãģĻ":140163,"ĠÙĤاÙħت":140164,"ĠاÙĥثر":140165,"ÙģاعÙĦ":140166,"ĠÑĦоÑĢ":140167,"ĠÑĦоÑĢÑĥм":140168,"غذÙĬ":140169,"ĠiÅŁle":140170,"ĠiÅŁleml":140171,"ĠiÅŁlemleri":140172,"ĠìĤ¬ëŀĮìĿĢ":140173,"ĠìŀijìĦ±":140174,"Ġë§Ī볨":140175,"ÙħجÙĦس":140176,"หมู":140177,"дв":140178,"двиг":140179,"двига":140180,"à¹Ģสียà¸Ĭีวิà¸ķ":140181,"×Ķתפת×Ĺ":140182,"×Ķתפת×Ĺ×ķת":140183,"ĠмеÑĤÑĢо":140184,"ĠÑģенÑĤ":140185,"ĠÑģенÑĤÑı":140186,"ĠÑģенÑĤÑıбÑĢÑı":140187,"곧":140188,"Ġ×ľ×¤×¢":140189,"Ġ×ľ×¤×¢×ŀ×Ļ×Ŀ":140190,"à¹Ģà¸ļีย":140191,"詳ãģĹãģı":140192,"çķ°ãģªãĤĭ":140193,"ĠÄ°lçe":140194,"ĠAtat":140195,"ĠAtatür":140196,"ĠAtatürk":140197,"รุà¹Īà¸ĩ":140198,"Ġkaldı":140199,"Ġ주ìŀ¥":140200,"Ġprésence":140201,"Ġнаб":140202,"ĠнаблÑİ":140203,"ĠнаблÑİда":140204,"ĠÑģамого":140205,"×Ĵ×ķש":140206,"×ŀ×ĺ×ķפ":140207,"×ŀ×ĺ×ķפ׾":140208,"ĠвÑĭбиÑĢа":140209,"ĠìŀIJ리":140210,"åĪĨãģĭãĤīãģªãģĦ":140211,"ĠзÑĥб":140212,"Ġש׼×ijר":140213,"Ġدائ":140214,"ĠدائÙħا":140215,"ĠпаÑĢÑĤи":140216,"ï¼²":140217,"ĠاÙĬضا":140218,"ĠÑħоз":140219,"ĠÑħозÑı":140220,"ĠÑħозÑıй":140221,"ĠÑħозÑıйÑģÑĤв":140222,"ĠاÙĦأج":140223,"ĠاÙĦأجÙĨب":140224,"ĠاÙĦأجÙĨبÙĬØ©":140225,"ĠÐĹна":140226,"ĠApós":140227,"ĠÑįнеÑĢ":140228,"ĠÑįнеÑĢги":140229,"Ġyans":140230,"Ġyansı":140231,"ĠJusti":140232,"ĠJustiça":140233,"Ġprévu":140234,"มวล":140235,"ìŀ¥ëĭĺ":140236,"à¸ģระà¸ļ":140237,"à¸ģระà¸ļวà¸Ļ":140238,"à¸ģระà¸ļวà¸Ļà¸ģาร":140239,"×ŀ×ŀ":140240,"×ŀ×ŀ×ķצע":140241,"Ġhẹ":140242,"Ġhẹn":140243,"здание":140244,"ĠakÅŁ":140245,"ĠakÅŁam":140246,"×ĺ×ķפ":140247,"Ġgerekt":140248,"Ġgerekti":140249,"ĠgerektiÄŁini":140250,"Ġnarz":140251,"ĠnarzÄĻdzi":140252,"épo":140253,"époque":140254,"ĠThần":140255,"Ġwysoko":140256,"ĠwysokoÅĽci":140257,"à¸ľà¸¹à¹īà¸Ľ":140258,"à¸ľà¸¹à¹īà¸Ľà¹Īวย":140259,"ĠÙĬبدÙĪ":140260,"ÑĤелÑĮного":140261,"ĠвзглÑıд":140262,"ĠjednÄħ":140263,"ĠìĿĺ견":140264,"Ġà¸Ĥà¸ĵะà¸Ĺีà¹Ī":140265,"פ×Ļ×ĵ":140266,"ìĥģëĭ´":140267,"Ġmỡ":140268,"×Ķ×ŀ׾":140269,"×Ķ×ŀ׾צ×ķת":140270,"ĠÑģоÑģÑĤо":140271,"ĠÑģоÑģÑĤоиÑĤ":140272,"Ġави":140273,"Ġавиа":140274,"ĠLänder":140275,"تصÙĪÙĬر":140276,"×ŀ×ĵ×Ļ×Ķ":140277,"ìłĪì°¨":140278,"ãģ¨ãĤĬ":140279,"ãģ¨ãĤĬãģĤ":140280,"ãģ¨ãĤĬãģĤãģĪ":140281,"ãģ¨ãĤĬãģĤãģĪãģļ":140282,"ĠÑĢÑıд":140283,"ĠÑĢÑıдом":140284,"ĠNhất":140285,"ĠاÙĦÙĥاÙħÙĦ":140286,"×Ĺ׾׾":140287,"ĠGiấy":140288,"צ×ĺר":140289,"צ×ĺרף":140290,"Ġ׾×ij×ĺ׾":140291,"ĠимеÑĤÑĮ":140292,"ס×ŀ×ķ×ļ":140293,"Ġparticipação":140294,"íķľëĭ¤ë©´":140295,"ÙħÙĨتدÙĬ":140296,"ÙħÙĨتدÙĬات":140297,"ĠeÄŁlen":140298,"gänge":140299,"ربØŃ":140300,"ãĤ®ãĥ£":140301,"ĠاÙĦرÙĤÙħ":140302,"à¸ĭà¹īำ":140303,"ĠHóa":140304,"×ŀר×Ĺק":140305,"ØŃÙħاÙħ":140306,"بÙĪÙĥ":140307,"ĠArtÃŃculo":140308,"ãĥĦãĤ¢ãĥ¼":140309,"×Ķפ׼×Ķ":140310,"×Ĺ׾×ķף":140311,"ĠпеÑĢеÑħод":140312,"lenmiÅŁ":140313,"زراعة":140314,"Ġseñor":140315,"ãģ£ãģ¦ãģįãģ¦":140316,"إش":140317,"إشارة":140318,"ĠpodÃŃa":140319,"ĠÃľlke":140320,"нÑģкаÑı":140321,"Ġadapté":140322,"Ġdüzenlen":140323,"Ġdüzenlenen":140324,"ĠÑģÑĤала":140325,"ĠÙĬØŃتاج":140326,"Ġnier":140327,"Ġnieruch":140328,"Ġnieruchomo":140329,"ĠnieruchomoÅĽci":140330,"ãģĵãģ¨ãģĮãģĤãĤĭ":140331,"ยà¸Ńà¸Ķà¹Ģยีà¹Īยม":140332,"ĠÙħج":140333,"ĠÙħجاÙĨÙĬ":140334,"Ġзаб":140335,"Ġзабол":140336,"Ġзаболев":140337,"ĠзаболеваниÑı":140338,"ĠÅĽro":140339,"ĠÅĽrodk":140340,"ĠÅĽrodków":140341,"Ġ×Ķ׾×IJ×ķ×ŀ×Ļ":140342,"ĠdokÅĤad":140343,"ĠdokÅĤadnie":140344,"ãģŁãģıãģªãģĦ":140345,"ãģ¯ãģļãģ§ãģĻ":140346,"ãģ¨æĢĿãģ£ãģ¦ãģĦãģŁ":140347,"écran":140348,"ìĹħì²´":140349,"trzymaÅĤ":140350,"ÑģÑĤвеннÑĭй":140351,"ĠNotÃŃc":140352,"ĠNotÃŃcias":140353,"ÙħرÙĬ":140354,"ÙħرÙĬض":140355,"æ°Ĺè»":140356,"æ°Ĺ軽":140357,"æ°Ĺ軽ãģ«":140358,"ëĵ£":140359,"Ġ×ĵ×ķ×IJר":140360,"Ġ׾×ŀ׳":140361,"Ġ׾×ŀ׳×ķ×¢":140362,"ĠçalÄ±ÅŁÄ±yor":140363,"ĠÅŁidd":140364,"ĠÅŁiddet":140365,"ĠMặt":140366,"ĠateÅŁ":140367,"ĠполÑĥÑĩениÑı":140368,"à¹Ģà¸Ħรืà¹Īà¸Ńà¸ĩมืà¸Ń":140369,"ĠgrÃ¶ÃŁer":140370,"دائ":140371,"دائرة":140372,"Ġbulun":140373,"Ġbulunmaktadır":140374,"à¹Ģหร":140375,"à¹Ģหรีย":140376,"à¹Ģหรียà¸į":140377,"à¸Ļัà¸ģà¸Ĺà¹Īà¸Ńà¸ĩà¹Ģà¸Ĺีà¹Īยว":140378,"Ġalanında":140379,"ĠÑĥзна":140380,"ĠлеÑĩение":140381,"売ãĤĮ":140382,"Ġçevir":140383,"ĠdesteÄŁi":140384,"ĠheiÃŁt":140385,"âĸ²":140386,"ØŃØ·":140387,"à¸Ħำà¸ķà¸Ńà¸ļ":140388,"ãĤªãĥ³ãĥ©ãĤ¤ãĥ³":140389,"Ġ×ij×Ĺ×Ļ×Ļ×Ŀ":140390,"ãĥ¦ãĥĭ":140391,"Ġdüzenleme":140392,"ĠmodalitÃł":140393,"سرط":140394,"سرطاÙĨ":140395,"×ŀ׼×ķף":140396,"ĠданнÑĭй":140397,"ترت":140398,"ترتÙĬب":140399,"à¸ļาà¸ĩà¸Ħà¸Ļ":140400,"ĠÄIJá»ĭnh":140401,"มูล":140402,"มูลà¸Ħà¹Īา":140403,"ÙĨÙĤص":140404,"à¸ģารรัà¸ģษา":140405,"ĠÑĦон":140406,"ĠÑĦонд":140407,"ãĤĪãģĨãģ«ãģªãģ£ãģŁ":140408,"ÙħعاÙĦ":140409,"ÙħعاÙĦجة":140410,"ĠOsman":140411,"ĠOsmanlı":140412,"иÑĩеÑģком":140413,"à¸Ńยาà¸ģà¸Īะ":140414,"ãģķãģ¾ãģĸ":140415,"ãģķãģ¾ãģĸãģ¾":140416,"ãģķãģ¾ãģĸãģ¾ãģª":140417,"Ġת×ķ׼׾":140418,"עצ×ij":140419,"ĠاÙĦعسÙĥ":140420,"ĠاÙĦعسÙĥرÙĬ":140421,"Ġvéhic":140422,"Ġvéhicule":140423,"Ġ×Ļצ×Ĺק":140424,"ĠاÙĦÙĪØŃ":140425,"ĠاÙĦÙĪØŃÙĬد":140426,"ĠاÙĦعدÙĪ":140427,"ĠQuản":140428,"Ġê³µëıĻ":140429,"بدÙĦ":140430,"ĠÄijảng":140431,"Ġmá»ĩnh":140432,"Ġniezb":140433,"ĠniezbÄĻ":140434,"ĠniezbÄĻdn":140435,"Ġyayınlan":140436,"обÑīи":140437,"Ġgötür":140438,"צפ":140439,"צפ×ķ×Ļ":140440,"ĠÙĦÙĬبÙĬ":140441,"ĠÙĦÙĬبÙĬا":140442,"ØŃÙĪا":140443,"Ġдоб":140444,"ĠдобÑĢо":140445,"иÑĢÑĥем":140446,"ĠاÙĦØŃÙĥÙĪÙħÙĬØ©":140447,"mÃ¤ÃŁig":140448,"Ġedición":140449,"влекаÑĤелÑĮ":140450,"влекаÑĤелÑĮн":140451,"Ġ×ª×©×ľ×ķ×Ŀ":140452,"Ġ×Ķש×ķ׳×Ļ×Ŀ":140453,"มิà¸ĸุ":140454,"มิà¸ĸุà¸Ļ":140455,"มิà¸ĸุà¸Ļายà¸Ļ":140456,"é£Łãģ¹ãģ¦":140457,"ĠìĪĺì§ij":140458,"ס×ij×Ļ":140459,"ĠиÑİлÑı":140460,"Ġà¹Ħà¸Ķà¹īà¹ģà¸ģà¹Ī":140461,"׾×Ĺ×Ŀ":140462,"trä":140463,"trägt":140464,"ãģĿãĤĤãģĿãĤĤ":140465,"ÐĿÐķ":140466,"ĠвнÑĥÑĤ":140467,"ĠвнÑĥÑĤÑĢи":140468,"ãģ¨ä¸Ģç·Ĵãģ«":140469,"ãĤ«ãĥķãĤ§":140470,"Ġ×ij×Ĺ×ĵר":140471,"×Ĺ×ŀש":140472,"ãĤ¨ãĥį":140473,"ãĤ¨ãĥįãĥ«":140474,"ãĤ¨ãĥįãĥ«ãĤ®":140475,"ãĤ¨ãĥįãĥ«ãĤ®ãĥ¼":140476,"à¸Ĥà¸Ńà¸ĩà¸ķัวà¹Ģà¸Ńà¸ĩ":140477,"بÙĤاء":140478,"פס×Ļ׼":140479,"פס×Ļ׼×ķ׾×ķ×Ĵ":140480,"ãĥ¡ãĥĥ":140481,"ãĥ¡ãĥĥãĤ»":140482,"ãĥ¡ãĥĥãĤ»ãĥ¼ãĤ¸":140483,"ÙĦÙĤب":140484,"AÄŀ":140485,"שק×Ļ×¢":140486,"ÙĤساÙħ":140487,"×ĵ×ķ×Ĵ×ŀ×Ķ":140488,"æ·±ãģĦ":140489,"íĸĪëĬĶëį°":140490,"ĠrozwiÄħzanie":140491,"à¸Ļัà¹Īà¸Ļà¹Ģà¸Ńà¸ĩ":140492,"×Ļצ×ij":140493,"Ġtrông":140494,"à¹ĥà¸Ĭà¹īà¸ļริà¸ģาร":140495,"ĠاÙĦÙħÙĪسÙħ":140496,"ĠдеÑĤи":140497,"ãģĹãģĭãģªãģĦ":140498,"ס×Ļף":140499,"Ġréférence":140500,"à¹ģหà¹īà¸ĩ":140501,"ãĤĤãĤīãģ£ãģŁ":140502,"Ġ׾ר׼":140503,"Ġ׾ר׼×ķש":140504,"شعÙĪر":140505,"ĠÐijог":140506,"Ġlazım":140507,"Ġ×Ļש׳×Ŀ":140508,"ĠпаÑĢÑĤ":140509,"ĠпаÑĢÑĤнеÑĢ":140510,"ĠÑĥника":140511,"ĠÑĥникалÑĮн":140512,"Ġmatériel":140513,"×ŀרק":140514,"ĠphÆ°á»Ŀng":140515,"Ġзай":140516,"Ġзайм":140517,"ÙģÙĤد":140518,"UniversitÃł":140519,"×¢×¨×Ľ×Ļ×Ŀ":140520,"Ġbaño":140521,"ĠноÑı":140522,"ĠноÑıбÑĢÑı":140523,"à¸Ľà¹īาย":140524,"Ġtats":140525,"Ġtatsäch":140526,"Ġtatsächlich":140527,"ĠÑĤÑĢеÑĤÑĮ":140528,"Ñįм":140529,"ãĥĻãĥ¼ãĤ¹":140530,"Ġnhá»±a":140531,"ìĬ¤íģ¬":140532,"ĠعبداÙĦÙĦÙĩ":140533,"Ġת×ķר×Ķ":140534,"أشÙĬ":140535,"أشÙĬاء":140536,"ĠÙĦÙĦغا":140537,"ĠÙĦÙĦغاÙĬØ©":140538,"ÙħÙĪاÙĤ":140539,"ÙħÙĪاÙĤÙģ":140540,"ĠgÅĤówna":140541,"ĠartÄ±ÅŁ":140542,"Ġ×ŀק×ķ×ŀ×Ļ":140543,"ãĤ¯ãĥ©ãĥĸ":140544,"ĠسÙĪÙī":140545,"ĠìŬìĦ±":140546,"اسر":140547,"اسرائÙĬÙĦ":140548,"Ġ×ł×Ľ×ª×ij":140549,"ยà¹īà¸Ńà¸Ļ":140550,"Ġdeberá":140551,"Ġphẫu":140552,"ÑİÑīем":140553,"ĠÙĦدÙĬÙĨا":140554,"×ŀ×ĺ×Ķ":140555,"Ġ׳×ķ׾×ĵ":140556,"ĠвÑģÑĤÑĢеÑĩа":140557,"ãĤīãĤĮãģ¦ãģĦãģ¾ãģĻ":140558,"ĠcaÅĤej":140559,"ยึ":140560,"ยึà¸Ķ":140561,"поÑĤен":140562,"поÑĤенÑĨи":140563,"ĠлиÑĤ":140564,"ĠлиÑĤеÑĢ":140565,"ĠлиÑĤеÑĢаÑĤÑĥÑĢ":140566,"Ġкаждом":140567,"ĠíĮIJ":140568,"ĠíĮIJëĭ¨":140569,"à¸Īู":140570,"Ġpresença":140571,"ãģªãĤĵãģ§":140572,"ÙħÙĬاÙĩ":140573,"инÑĦоÑĢм":140574,"инÑĦоÑĢмаÑĨион":140575,"инÑĦоÑĢмаÑĨионн":140576,"ĠìŀIJìĹ°":140577,"ר׼ש":140578,"Ġödül":140579,"ç¶ļãģı":140580,"ĠпÑģ":140581,"ĠпÑģиÑħ":140582,"ĠпÑģиÑħолог":140583,"تذÙĥر":140584,"Ġìŀħìŀ¥":140585,"ลà¸Ķà¹Į":140586,"ìĦłê±°":140587,"ãģ£ãģ¦ãģĬãĤĬãģ¾ãģĻ":140588,"Ġ×Ļ×¢":140589,"Ġ×Ļעק×ij":140590,"ĠاÙĦطعاÙħ":140591,"ãĥĨãĤ¹ãĥĪ":140592,"ĠTuấn":140593,"Ġparticipación":140594,"×ŀ×ķ×ŀ×Ĺ×Ķ":140595,"×Ĵרס×Ķ":140596,"ĠاÙĦتÙĨÙģÙĬ":140597,"ĠاÙĦتÙĨÙģÙĬØ°ÙĬ":140598,"ĠбезопаÑģн":140599,"gef":140600,"gefähr":140601,"Ø´ÙĪر":140602,"ĠmyÅĽli":140603,"ÙĪاشÙĨ":140604,"ÙĪاشÙĨØ·ÙĨ":140605,"׳×ķסע":140606,"ÙĥÙĩ":140607,"ÙĥÙĩرب":140608,"ÙĥÙĩرباء":140609,"ĠmusiaÅĤ":140610,"ìĭ¸":140611,"ãĥĸãĥ©ãĥĥãĤ¯":140612,"Ġcréé":140613,"ÙĨÙĩار":140614,"owoÅĽÄĩ":140615,"ÙħØŃاÙĥÙħ":140616,"ĠwÅĤaÅĽ":140617,"ĠwÅĤaÅĽc":140618,"ĠwÅĤaÅĽciciel":140619,"ĠÙĬؤ":140620,"ĠÙĬؤدÙĬ":140621,"×ŀ×¢×ķ׳":140622,"×IJ×ij׾":140623,"خطأ":140624,"ĠÑħолод":140625,"×ĸ×ķ׾":140626,"ãģĵãĤĮãĤī":140627,"ãģĵãĤĮãĤīãģ®":140628,"Ġbásica":140629,"ฤà¸Ķ":140630,"ฤà¸Ķูà¸ģ":140631,"ฤà¸Ķูà¸ģา":140632,"ฤà¸Ķูà¸ģาล":140633,"èIJ½ãģ¡çĿĢ":140634,"ãģªãģĦãģĵãģ¨":140635,"صÙĪÙħ":140636,"ÙĨجØŃ":140637,"׳ק×ķ×ĵ":140638,"׳ק×ķ×ĵת":140639,"клаÑģÑģ":140640,"íķĺìĭľëĬĶ":140641,"ëĦĺ":140642,"Ġש×IJ×Ļ׳×ķ":140643,"ĠСейÑĩаÑģ":140644,"mayacaģı":140645,"Ġyapılır":140646,"ĠcategorÃŃa":140647,"عباد":140648,"ĠТеп":140649,"ĠТепеÑĢÑĮ":140650,"×Ķ×Ļס×ĺ×ķר×Ļ":140651,"hế":140652,"ãĤ³ãĥ¼ãĥī":140653,"Ġcabeça":140654,"جÙħا":140655,"جÙħاÙĩ":140656,"جÙħاÙĩÙĬر":140657,"ä½İãģĦ":140658,"ĠÑĤоваÑĢов":140659,"à¸Ĭาวà¸ļà¹īาà¸Ļ":140660,"ĠÑģÑĤанов":140661,"ĠÑģÑĤановиÑĤÑģÑı":140662,"ĠавÑĤомобилÑĮ":140663,"ĠÑģлÑĥÑĩай":140664,"à¸Ńัà¸ŀ":140665,"ĠGiriÅŁ":140666,"ĠìĿ¼ëĭ¨":140667,"ĠпÑĢоÑģ":140668,"ĠпÑĢоÑģмоÑĤÑĢ":140669,"ãģªãģıãģªãģ£ãģŁ":140670,"à¸¡à¸µà¸Ľà¸±à¸įหา":140671,"ïºİ":140672,"écoute":140673,"ĠÙħÙĪجÙĪد":140674,"ĠسرÙĬع":140675,"ĠÙĪÙĩÙĨا":140676,"ĠÙĪÙĩÙĨاÙĥ":140677,"à¸Ħุà¸ĵสม":140678,"à¸Ħุà¸ĵสมà¸ļัà¸ķิ":140679,"Ġìļ°ìĦł":140680,"à¸ŀระà¸ŀุà¸Ĺà¸ĺ":140681,"好ãģ¿":140682,"ظÙĦÙħ":140683,"ĠмакÑģ":140684,"ĠмакÑģималÑĮ":140685,"ĠмакÑģималÑĮно":140686,"ãĥªãĤ¢ãĥ«":140687,"à¹ģมà¹īวà¹Īา":140688,"ĠاÙĦØŃÙĪار":140689,"ãĥĹãĥ©ãĤ¹":140690,"ĠعÙĦاÙĤØ©":140691,"ĠíĸīëıĻ":140692,"Ġgönderil":140693,"Ġlãi":140694,"ĠsaÄŁlıkl":140695,"ĠsaÄŁlıklı":140696,"ĠÑĪаг":140697,"Ġ×ij×IJר×Ķ":140698,"prowadziÄĩ":140699,"ãģĦãģıãģ¤ãģĭ":140700,"ĠبتارÙĬØ®":140701,"Ġ×ij×IJ×ķת×Ķ":140702,"Ġmóc":140703,"ĠÐľÐ½Ðµ":140704,"ãĥĹãĥ¬ãĥ¼":140705,"×IJ×ĸר×Ĺ":140706,"åł´åIJĪãģ«ãģ¯":140707,"使ãģĪ":140708,"à¹Ģรืà¸Ńà¸Ļ":140709,"ĠÐŁÐµÑĤ":140710,"ĠÐŁÐµÑĤÑĢ":140711,"ãģ«åħ¥ãĤĭ":140712,"Ùħادة":140713,"à¹Ģà¸ĩืà¹Īà¸Ńà¸Ļ":140714,"à¹Ģà¸ĩืà¹Īà¸Ńà¸Ļà¹Ħà¸Ĥ":140715,"ĠÑģоÑģÑĤоÑıние":140716,"ônica":140717,"ĠÑĦев":140718,"ĠÑĦевÑĢа":140719,"ĠÑĦевÑĢалÑı":140720,"Ġ×ķ×ĸ":140721,"Ġ×ķ×ĸ×IJת":140722,"à¸Ħริ":140723,"à¸Ħริส":140724,"ĠÐķÑīе":140725,"ãģ£ãģ¦ãģĹãģ¾ãģĦãģ¾ãģĹãģŁ":140726,"ĠпÑĢавиÑĤелÑĮ":140727,"ĠпÑĢавиÑĤелÑĮÑģÑĤв":140728,"Ġtäglich":140729,"Ġëĭ¹ìĭľ":140730,"×ŀ×ķ×¢×ŀ×ĵ":140731,"ĠдвоÑĢ":140732,"æīķ":140733,"æīķãģĦ":140734,"ĠÑģÑĤанеÑĤ":140735,"ĠвоздейÑģÑĤв":140736,"ĠвоздейÑģÑĤви":140737,"Ġfête":140738,"à¹Ģสา":140739,"תק×ķ×ķ×Ķ":140740,"Ġuyar":140741,"Ġuyarı":140742,"à¸ģลัà¸ļà¹Ħà¸Ľ":140743,"ĠgiÆ°á»Ŀng":140744,"Ġва":140745,"ĠваÑĪи":140746,"ĠÄijáºŃu":140747,"ĠSpaÃŁ":140748,"ĠìķĦë§Ī":140749,"à¹Ħà¸Ķà¹īà¸ĩà¹Īาย":140750,"Ġ×Ķ×ŀ×ijקש":140751,"æĸ°ãģŁ":140752,"æĸ°ãģŁãģª":140753,"ılıyor":140754,"план":140755,"Ġ×Ķ×ijר×Ļ×IJ×ķת":140756,"ĠaÄŁrı":140757,"Ġsaygı":140758,"建ãģ¦":140759,"Ġnajwyż":140760,"Ġnajwyższ":140761,"سÙĬاسات":140762,"ãģĬå¾Ĺ":140763,"ĠاÙĦعÙĦÙĬ":140764,"ĠاÙĦعÙĦÙĬا":140765,"Ġcorazón":140766,"ì¹ĺë£Į":140767,"หัวà¸Ĥà¹īà¸Ń":140768,"ĠبØŃÙĬ":140769,"ĠبØŃÙĬØ«":140770,"звезд":140771,"بÙĪابة":140772,"ÐĽÐĺ":140773,"ÙĦازÙħ":140774,"Ġrozp":140775,"Ġrozpoc":140776,"ĠrozpoczÄĻ":140777,"触ãĤĮ":140778,"ĠاÙĦجÙħÙĩ":140779,"ĠاÙĦجÙħÙĩÙĪر":140780,"ĠspÄĻd":140781,"ĠspÄĻdz":140782,"วิà¸Ĺยาศาสà¸ķรà¹Į":140783,"иваеÑĤÑģÑı":140784,"Ġданной":140785,"Ġreprésente":140786,"ĠÄijá»ĭch":140787,"Ġ×¢×ŀ×ķק":140788,"à¸Ńัà¸Ļà¸ķร":140789,"à¸Ńัà¸Ļà¸ķราย":140790,"Ġestratég":140791,"Ġestratégia":140792,"padÅĤ":140793,"Ġвполн":140794,"Ġвполне":140795,"ĠпÑĢедоÑģÑĤавлен":140796,"×Ĺ׾×ķק":140797,"×Ĺ׾×ķקת":140798,"ãĤ¢ãĥĬ":140799,"ĠاÙĦغذ":140800,"ĠاÙĦغذائÙĬ":140801,"ĠÑĥзн":140802,"ĠÑĥзнаÑĤÑĮ":140803,"à¸ĭà¹īาย":140804,"å½ĵãģ¦":140805,"ØŃÙĬاء":140806,"Ġbásico":140807,"ק×ķ×ij×¢":140808,"ĠاÙĦÙħباراة":140809,"ĠاÙĦÙĩاتÙģ":140810,"Ġ׼׳×Ĵ×ĵ":140811,"à¸Ľà¸£à¸°à¸«à¸¢":140812,"à¸Ľà¸£à¸°à¸«à¸¢à¸±à¸Ķ":140813,"Ðļак":140814,"à¸Ĺีà¹Īà¸Ļà¹Īา":140815,"à¸Ĺีà¹Īà¸Ļà¹Īาสà¸Ļà¹ĥà¸Ī":140816,"ãģ¾ãģģ":140817,"ï½¢":140818,"Ñģкоп":140819,"Ġsonrasında":140820,"ĠurzÄħd":140821,"ĠurzÄħdzenia":140822,"׼×ķ×ķ׳":140823,"׼×ķ×ķ×ł×ª":140824,"Ġ׾×Ķת×ŀ×ķ×ĵ":140825,"Ġ׾×Ķת×ŀ×ķ×ĵ×ĵ":140826,"ĠÑģли":140827,"ĠÑģлиÑĪ":140828,"ĠÑģлиÑĪком":140829,"ĠÑģÑĤÑĥд":140830,"ĠÑģÑĤÑĥденÑĤ":140831,"Ġ×Ķ×ķ×ĵ":140832,"Ġ×Ķ×ķ×ĵ×¢×Ķ":140833,"ë¹Ħìļ©":140834,"à¸Ńยาà¸ģà¹ĥหà¹ī":140835,"Ġbá»ģ":140836,"ยุà¸Ĺà¸ĺ":140837,"ÐĺÐĿ":140838,"سائر":140839,"أصÙĪÙĦ":140840,"ĠاÙĦغرÙģ":140841,"ãģĵãģ¨ãĤĤãģĤãĤĬãģ¾ãģĻ":140842,"è¾¼ãģ¾ãĤĮ":140843,"ĠاÙĦسابع":140844,"Ġcủ":140845,"ãģĦãģŁãģłãģĦãģŁ":140846,"ì§ĵ":140847,"ìĤ¬ë¬´":140848,"powiedź":140849,"تÙģÙĥ":140850,"تÙģÙĥÙĬر":140851,"иÑĢовки":140852,"ĠíĨµíķ´ìĦľ":140853,"ãĤ¨ãĤ¹ãĥĨ":140854,"ĠдеÑıÑĤелÑĮноÑģÑĤÑĮ":140855,"ĠданнÑĭм":140856,"Ġ×¢×ķר":140857,"Ġ×¢×ķר׼×Ļ":140858,"×ķ×ĵעת":140859,"Ġhayatını":140860,"ĠbÄħd":140861,"ĠbÄħdź":140862,"obsÅĤug":140863,"à¹Ģà¸ŀียà¸ĩà¹ģà¸Ħà¹Ī":140864,"à¸ĭà¹Īา":140865,"è²łãģij":140866,"ĠÑģÑĤÑĢем":140867,"ĠÄijá»īnh":140868,"ĠÐłÑĥÑģ":140869,"ĠNữ":140870,"Ġ׾×Ķש×Ļ×Ĵ":140871,"Ġjednoc":140872,"Ġjednocze":140873,"ĠjednoczeÅĽnie":140874,"Ġ×Ķ×Ĵ×ij×ķ×Ķ":140875,"أخÙĦاÙĤ":140876,"ĠнаÑģел":140877,"ĠнаÑģелениÑı":140878,"ĠÙĬÙĨب":140879,"ĠÙĬÙĨبغÙĬ":140880,"ãģĮãģĭ":140881,"ãģĮãģĭãģĭ":140882,"×Ĵעת":140883,"ÐŀÐł":140884,"ĠналиÑĩии":140885,"Ġë§Īì§Ģ":140886,"Ġë§Īì§Ģë§ī":140887,"ĠíĸīìĤ¬":140888,"ĠtreÅĽci":140889,"Ġê°Ģì¹ĺ":140890,"ì¦ĺ":140891,"Ġаналог":140892,"×Ķצעת":140893,"влад":140894,"владе":140895,"ĠÑģделал":140896,"Ġ׳×Ĵ×Ļש":140897,"Ġ׳×Ĵ×Ļש×ķת":140898,"полнение":140899,"à¸Ĩà¹Īา":140900,"ĠDön":140901,"׼׾׼׾×Ķ":140902,"×ŀ×ĸ×Ĵ":140903,"ÙħÙģ":140904,"ÙħÙģÙĩ":140905,"ÙħÙģÙĩÙĪÙħ":140906,"×Ķ×ĵ":140907,"×Ķ×ĵפס":140908,"×Ķ×ĵפס×Ķ":140909,"ãģĻãģİãģ¦":140910,"ĠгÑĢ":140911,"ĠгÑĢн":140912,"×ŀ×ĺ×ķס":140913,"Ġ기ìĸµ":140914,"ï¾Ł":140915,"ĠpÅĤyn":140916,"ĠGründe":140917,"ĠBücher":140918,"ĠwedÅĤug":140919,"ãģ¾ãģłãģ¾ãģł":140920,"Ġ׳×Ķ×ĵר":140921,"ĠÙĬستطÙĬع":140922,"ĠHiá»ĩp":140923,"ãĤŃãĥ£ãĥ³ãĥļ":140924,"ãĤŃãĥ£ãĥ³ãĥļãĥ¼ãĥ³":140925,"Ġthá»ķ":140926,"Ġeuropéenne":140927,"à¸ļัà¸ĩ":140928,"à¸ļัà¸ĩà¸Ħัà¸ļ":140929,"ĠszczegóÅĤowo":140930,"׳שק":140931,"ãĥķãĥ©ãĥ³ãĤ¹":140932,"×ŀ×ķ×ŀ×Ĺ×Ļ":140933,"Ġcomún":140934,"Ġçarp":140935,"ØŃتÙĬا":140936,"ØŃتÙĬاج":140937,"ØŃتÙĬاجات":140938,"ëĭ´ëĭ¹":140939,"ä½ķ度":140940,"ä½ķ度ãĤĤ":140941,"×ĵ×ijק":140942,"ãģįãĤĮ":140943,"ãģįãĤĮãģĦ":140944,"Ġкам":140945,"ĠкамеÑĢ":140946,"ĠespecÃŃfico":140947,"Ġteléfono":140948,"à¸ķัà¹īà¸ĩà¸Ńยูà¹Ī":140949,"IÅŀ":140950,"ãģ©ãĤĵãģ©":140951,"ãģ©ãĤĵãģ©ãĤĵ":140952,"עצ×ŀ×IJ×Ļ":140953,"à¸Ķัà¸ĩà¸Ļีà¹ī":140954,"ĠÑĦоÑĢмиÑĢов":140955,"ĠÑĦоÑĢмиÑĢова":140956,"×ķ×ŀ×ij":140957,"Ġkullanımı":140958,"ÐľÐŀ":140959,"עש×Ļ":140960,"עש×Ļ×Ļ×Ķ":140961,"Ġönlem":140962,"à¹Ģà¸Ńà¹ĩ":140963,"à¹Ģà¸Ńà¹ĩม":140964,"×ŀשק×Ļ×¢":140965,"ר×Ļ×Ĺ":140966,"à¸Ĥัà¸Ķ":140967,"ĠíĻľ":140968,"ĠíĻľìļ©":140969,"à¸ĭะ":140970,"ãĤĪãģĨãģ«ãģªãĤĬãģ¾ãģĹãģŁ":140971,"ĠÑĢаÑģпÑĢ":140972,"ĠÑĢаÑģпÑĢоÑģÑĤ":140973,"ĠÑĢаÑģпÑĢоÑģÑĤÑĢан":140974,"ĠÑĢаÑģпÑĢоÑģÑĤÑĢанен":140975,"׼×Ļ×ķף":140976,"ÙĤبض":140977,"تصرÙĬØŃ":140978,"تصرÙĬØŃات":140979,"ĠоÑĢи":140980,"ĠоÑĢиг":140981,"ĠоÑĢигина":140982,"ĠоÑĢигинал":140983,"ĠاÙĦعاÙĦÙĬ":140984,"à¹ģหà¹Īà¸ĩà¸Ļีà¹ī":140985,"ãĥķãĤ¡ãĥ¼":140986,"ãģ¦ãģĦãģį":140987,"ãģ¦ãģĦãģįãģŁãģĦ":140988,"פתר":140989,"פתר×ķ׳×ķת":140990,"Ġ×ij×Ļ×Ĺ":140991,"Ġ×ij×Ļ×Ĺ×ĵ":140992,"Ġodby":140993,"ĠodbyÅĤ":140994,"ĠоÑĩеÑĢед":140995,"ĠtrÆ°Æ¡ng":140996,"ãĤŃãĥ³":140997,"×ŀ×ķפ":140998,"×ŀ×ķפע":140999,"ëĵľë¦½":141000,"ëĵľë¦½ëĭĪëĭ¤":141001,"à¸ŀืà¹īà¸Ļà¸IJาà¸Ļ":141002,"ìŀIJ격":141003,"ĠViá»ĩn":141004,"ĠDespués":141005,"Ġ×IJ׾×Ļ׳×ķ":141006,"Ġdurée":141007,"íĩ´":141008,"Ġmüzik":141009,"iếu":141010,"ĠÑĢазмеÑīен":141011,"ĠкÑĥд":141012,"ĠкÑĥда":141013,"غض":141014,"غضب":141015,"ĠTambém":141016,"à¸Īัà¸Ķสà¹Īà¸ĩ":141017,"à¸ģารà¹ģสà¸Ķà¸ĩ":141018,"onomÃŃa":141019,"Ġанг":141020,"Ġангли":141021,"Ġанглий":141022,"ĠанглийÑģк":141023,"Ġznal":141024,"Ġznalaz":141025,"ĠznalazÅĤ":141026,"תר×Ĵ":141027,"תר×Ĵ×ķ×Ŀ":141028,"ĠÑģнов":141029,"ĠÑģнова":141030,"ĠÑĩаÑģа":141031,"Ġcommunauté":141032,"ĠespecÃŃfica":141033,"ĠLá»ĭch":141034,"Ġlié":141035,"Ùģجر":141036,"à¹Ģà¸ģà¹Īà¸ĩ":141037,"عاÙĦ":141038,"عاÙĦج":141039,"Ø£ÙĨظ":141040,"Ø£ÙĨظÙħØ©":141041,"ESÄ°":141042,"ĠاÙĦØŃدÙĬد":141043,"à¸ŀระà¸Ńà¸ĩà¸Ħà¹Į":141044,"Ġפרשת":141045,"Ġдвиж":141046,"ĠдвижениÑı":141047,"ĠاÙĦجارÙĬ":141048,"à¸ĺาà¸Ļี":141049,"неÑģен":141050,"ĠاÙĦÙĨÙĩائÙĬ":141051,"ĠбеÑĢ":141052,"ĠбеÑĢем":141053,"ĠбеÑĢеменн":141054,"Ġdépartement":141055,"à¹Ģà¸Ĺีย":141056,"à¹Ģà¸Ĺียà¸ļ":141057,"ĠÐľÐ°ÑĢи":141058,"ĠнекоÑĤоÑĢÑĭÑħ":141059,"обеÑģп":141060,"обеÑģпеÑĩен":141061,"×Ĺ×ķ×ĸ":141062,"×Ĺ×ķ×ĸ×Ķ":141063,"ÙĨتج":141064,"à¸Īะà¹Ħà¸Ķà¹īรัà¸ļ":141065,"á»°":141066,"Ġéléments":141067,"عط":141068,"عطاء":141069,"Ġtắt":141070,"iá»ĩm":141071,"ÑİÑīиÑħÑģÑı":141072,"ãģĹãģ°":141073,"ãģĹãģ°ãĤīãģı":141074,"ĠпоможеÑĤ":141075,"à¸Ĥà¸ĵะà¸Ļีà¹ī":141076,"Ġעשר×ķת":141077,"éģķãģ£ãģ¦":141078,"ĠпÑĢог":141079,"ĠпÑĢогн":141080,"ĠпÑĢогноз":141081,"ĠtÅĤ":141082,"ĠtÅĤum":141083,"ĠtÅĤumacz":141084,"Tür":141085,"Türkiye":141086,"ãģįãģ£":141087,"ãģįãģ£ãģĭãģij":141088,"Ġ×Ķ׳×ķ׼":141089,"Ġ×Ķ׳×ķ׼×Ĺ×Ļ":141090,"ĠìĥĿìĤ°":141091,"ĠÑĦоÑĢмÑĭ":141092,"ç¾İãģĹãģĦ":141093,"à¸Ľà¸£à¸¶à¸ģ":141094,"à¸Ľà¸£à¸¶à¸ģษา":141095,"Ġlumière":141096,"ãĤªãĥ¼ãĥĹ":141097,"ãĤªãĥ¼ãĥĹãĥ³":141098,"à¸Ľà¸·à¸Ļ":141099,"วัสà¸Ķ":141100,"วัสà¸Ķุ":141101,"еÑĢÑĤв":141102,"ÙĥÙĦÙģ":141103,"ï½£":141104,"à¸ĺรรมà¸Ķา":141105,"׳×ĺר":141106,"ĠпÑĢедÑģÑĤавлÑıеÑĤ":141107,"Ġanálisis":141108,"Ġbãi":141109,"باÙĤÙĬ":141110,"à¸Ľà¸£à¸°à¹Ģà¸Ķ":141111,"à¸Ľà¸£à¸°à¹Ģà¸Ķà¹ĩà¸Ļ":141112,"ĠÑģлÑĥÑĩаÑı":141113,"ĠÑģлÑĥÑĩаÑıÑħ":141114,"ÐĽÐIJ":141115,"สัà¸ĩà¹Ģà¸ģ":141116,"สัà¸ĩà¹Ģà¸ģà¸ķ":141117,"Ġprzec":141118,"Ġprzecież":141119,"ÙħصÙĦ":141120,"ÙħصÙĦØŃØ©":141121,"ש×ķק×ķ׾×ĵ":141122,"ĠобоÑĢÑĥдованиÑı":141123,"ĠtrwaÅĤ":141124,"رÙĪÙħ":141125,"ìķĪëĤ´":141126,"ĠNghá»ĭ":141127,"خش":141128,"à¸ļาà¸Ħาร":141129,"à¸ļาà¸Ħารà¹Īา":141130,"ĠопÑĨион":141131,"ĠÑģозданиÑı":141132,"ãĤ³ãĤ¹ãĥĪ":141133,"Ġ×Ķ×¢×ľ×Ļ":141134,"Ġ×Ķ×¢×ľ×Ļ×ķף":141135,"läuft":141136,"ãĥĻãĤ¹ãĥĪ":141137,"Ġrê":141138,"Ġrêve":141139,"×IJ×ij×Ļ×ij":141140,"×Ļ×Ļ×ļ":141141,"ë¶Ļ":141142,"ãĤ¤ãĥ³ãĥī":141143,"ÅĤoży":141144,"ÅĤożyÄĩ":141145,"عائÙĦ":141146,"عائÙĦØ©":141147,"Ø£ÙĪر":141148,"Ø£ÙĪراÙĤ":141149,"à¸Ĺà¹īà¸Ńà¸ĩà¸ĸ":141150,"à¸Ĺà¹īà¸Ńà¸ĩà¸ĸิà¹Īà¸Ļ":141151,"Ġähn":141152,"Ġähnlich":141153,"ãĥŁãĥĭ":141154,"à¸ľà¸¹":141155,"à¸ľà¸¹à¹īà¸Ļ":141156,"à¸ľà¸¹à¹īà¸Ļำ":141157,"ĠмаÑĤеÑĢиалÑĭ":141158,"ĠкапиÑĤ":141159,"ĠкапиÑĤал":141160,"Ｆ":141161,"Ġseçil":141162,"Ġhứng":141163,"Ġintéressant":141164,"ãģ£ãģ¦ãģĦãģı":141165,"ĠeÄŁer":141166,"ëIJĺìĹĪìĬµëĭĪëĭ¤":141167,"ĠanlaÅŁma":141168,"ãģĶåĪ©çĶ¨":141169,"Ġ×ij×ĸ׼":141170,"Ġ×ij×ĸ׼×ķת":141171,"ëĿ¼ë©´":141172,"ĠÙĬÙĪس":141173,"ĠÙĬÙĪسÙģ":141174,"أسÙĦØŃØ©":141175,"ĠGefühl":141176,"ĠноÑĢмалÑĮн":141177,"ãĥĻãĥ³":141178,"ãģķãĤĮãĤĭãģĵãģ¨":141179,"ĠÐijеÑģ":141180,"ãģ¨ãģĦãģĪãģ°":141181,"ĠÙħÙĩÙħ":141182,"ĠÙħÙĩÙħØ©":141183,"ãģ§ãģĹãĤĩãģĨãģŃ":141184,"ĠêµŃëĤ´":141185,"à¹Ģมà¹ĩà¸Ķ":141186,"×ŀ×ijקר":141187,"ĠاÙĦدÙĨÙĬ":141188,"ĠاÙĦدÙĨÙĬا":141189,"à¸Ĭู":141190,"кÑĢÑĥÑĤ":141191,"Ġthoáng":141192,"Ġ׳×ĵר":141193,"Ġ׳×ĵרש":141194,"ĠÑĢаÑģÑģказал":141195,"ĠAuÃŁerdem":141196,"פ×IJר":141197,"פ×IJרק":141198,"Ġ×ŀש×Ĺק×Ļ×Ŀ":141199,"צר׼×Ļ×Ŀ":141200,"×ŀ×ĵ×ķ":141201,"×ŀ×ĵ×ķ×Ļק":141202,"èĭ¦ãģĹ":141203,"ĠÑģиг":141204,"ĠÑģигнал":141205,"ĠMá»įi":141206,"Ġtrữ":141207,"ĠnastÄĻp":141208,"ĠnastÄĻpnie":141209,"Ġì¶Ķì§Ħ":141210,"ĠاÙĦÙģÙĨد":141211,"ĠاÙĦÙģÙĨدÙĤ":141212,"koÅĦczyÅĤ":141213,"สีà¹Ī":141214,"ק×Ļ×ij":141215,"ק×Ļ×ij×ķ×¥":141216,"ĠнÑĥжнÑĭ":141217,"大åĪĩ":141218,"大åĪĩãģª":141219,"æıĽãģĪ":141220,"ת×ķס":141221,"ת×ķספת":141222,"ãģ£ãģ¦ãģĦãģªãģĦ":141223,"ĠмÑı":141224,"ĠмÑıг":141225,"ĠмÑıгк":141226,"Ġjakie":141227,"ĠjakieÅĽ":141228,"à¸ķำà¸ļ":141229,"à¸ķำà¸ļล":141230,"ĠìŀĪì§Ģ":141231,"×ij×ĺ×IJ":141232,"ĠоÑĤлиÑĩно":141233,"ÙĤÙIJ":141234,"ĠавÑĤомоб":141235,"ĠавÑĤомоби":141236,"ĠавÑĤомобилÑı":141237,"دÙĬÙħÙĤراطÙĬ":141238,"ĠاÙĦÙĪا":141239,"ĠاÙĦÙĪاØŃد":141240,"ĠسÙĪرÙĬØ©":141241,"أغÙĦ":141242,"أغÙĦب":141243,"ĠÑįкÑĢан":141244,"ãĥĹãĥ©ãĤ¤":141245,"ĠjesteÅĽ":141246,"ãĥIJãĥª":141247,"Ġ×Ķ×IJ×ķ×ķ×Ļר":141248,"ائÙĥ":141249,"à¸Ńยà¹Īาà¸ĩยิà¹Īà¸ĩ":141250,"ÑĢекÑĤ":141251,"Ġumo":141252,"Ġumoż":141253,"Ġumożli":141254,"Ġumożliw":141255,"Ġumożliwia":141256,"Ġnächste":141257,"ĠìŀĪì§Ģë§Į":141258,"ĠпÑĢедн":141259,"ĠпÑĢедназ":141260,"ĠпÑĢедназнаÑĩен":141261,"Ġmaçı":141262,"Ġpomi":141263,"ĠpomiÄĻd":141264,"ĠpomiÄĻdzy":141265,"ĠاÙĦÙĦÙĤاء":141266,"à¹Ģà¸Ķà¸Ńะ":141267,"ĠновоÑģÑĤи":141268,"×ŀ×Ĺ׾×Ķ":141269,"رÙĬاضÙĬ":141270,"à¸Ķà¸Ļ":141271,"à¸Ķà¸Ļà¸ķรี":141272,"بصر":141273,"ìĬ¤íĥĢ":141274,"scripción":141275,"Ġnapisa":141276,"ĠnapisaÅĤ":141277,"Ġ׳ש×ŀ×¢":141278,"ĠاÙĦÙħØŃÙĦÙĬ":141279,"Ġhiá»ĥn":141280,"×IJ×Ĺ":141281,"×IJ×Ĺר×IJ×Ļ":141282,"ĠгÑĢаниÑĨ":141283,"æīĭç¶ļãģį":141284,"Ùĥسب":141285,"Ġà¹ģà¸ķà¹Īà¸ĸà¹īา":141286,"à¸Ķาวà¸Ļà¹Į":141287,"à¸Ķาวà¸Ļà¹Įà¹Ĥหลà¸Ķ":141288,"ãĤĭãģĵãģ¨ãģĮãģ§ãģįãģ¾ãģĻ":141289,"åŁºæľ¬çļĦãģ«":141290,"ÙĪÙĦاد":141291,"räume":141292,"دÙģاع":141293,"×Ļצע":141294,"ĠOczy":141295,"ĠOczywiÅĽcie":141296,"ĠÅģ":141297,"ĠÅģa":141298,"اÙĦÙĬاب":141299,"اÙĦÙĬاباÙĨ":141300,"áºłI":141301,"ĠBirliÄŁi":141302,"×Ķ×ķצ":141303,"×Ķ×ķצ×IJת":141304,"ĠÄijua":141305,"Ġê·¸ëŁ¬ëĭĪê¹Į":141306,"Ġréalité":141307,"عÙĦاÙĤات":141308,"Jeste":141309,"JesteÅĽ":141310,"Ġмнож":141311,"ĠмножеÑģÑĤво":141312,"Ｋ":141313,"ãĥĹãĥŃãĤ¸ãĤ§":141314,"ãĥĹãĥŃãĤ¸ãĤ§ãĤ¯ãĥĪ":141315,"ĠÑĦл":141316,"ظÙĨ":141317,"×Ĵ׾×Ĵ׾":141318,"ĠmÅĤodzie":141319,"ĠmÅĤodzież":141320,"à¸Ļà¹īำà¸ķา":141321,"à¸Ļà¹īำà¸ķาล":141322,"ÐĽÐķ":141323,"×ij×ķ×ĺ":141324,"Ġ׾×Ķ×Ĵ×Ļ×ĵ":141325,"ãģĵãģ¨ãĤĤãģĤãĤĭ":141326,"زاد":141327,"×ŀ×Ļ×ĵ×¢":141328,"ĠgÅĤównie":141329,"ãĥıãĤ¦":141330,"ãĥıãĤ¦ãĤ¹":141331,"бел":141332,"Ġétape":141333,"ðŁĺĢ":141334,"ĠмоделÑĮ":141335,"aģını":141336,"ש×Ĺק":141337,"ש×Ĺקף":141338,"Ġniño":141339,"à¸Ĭà¹īาà¸ĩ":141340,"à¹Ģลีย":141341,"ĠÑĦоÑĢме":141342,"ĠاÙĦشرÙĬÙģ":141343,"ĠÑĥдаÑĢ":141344,"arriv":141345,"arrivée":141346,"ĠmiesiÄĻ":141347,"ĠmiesiÄĻcy":141348,"ØŃرÙĥ":141349,"ØŃرÙĥات":141350,"ĠDiá»ħn":141351,"ÐĿЫ":141352,"ãģ¾ãģ£ãģŁãģı":141353,"Ġ×Ļר×ķק":141354,"еÑģÑĤеÑģÑĤв":141355,"еÑģÑĤеÑģÑĤвенн":141356,"Ġê·¸ëŁ¼":141357,"ĠاÙĦÙħتÙĪ":141358,"ĠاÙĦÙħتÙĪسط":141359,"Ġbénéfic":141360,"Ġbénéficie":141361,"Ġwybra":141362,"ĠwybraÄĩ":141363,"ĠاÙĦزÙħÙĨ":141364,"ĠпÑĢинÑı":141365,"ĠпÑĢинÑıл":141366,"ÙģرØŃ":141367,"Ġksz":141368,"ĠksztaÅĤ":141369,"ĠksztaÅĤt":141370,"ק׾×ĺ":141371,"×ij×ĵ×Ļקת":141372,"Ġgiấ":141373,"Ġgiấc":141374,"ĠproprietÃł":141375,"деÑĢжан":141376,"ĠKöln":141377,"ĠGüzel":141378,"×Ļפ×ķ×Ļ":141379,"ĠCuá»Ļc":141380,"ÑįÑĤаж":141381,"ترÙĥÙĬ":141382,"ترÙĥÙĬز":141383,"ложений":141384,"ĠпÑĥ":141385,"ĠпÑĥÑĤи":141386,"اختÙĦاÙģ":141387,"åĩºãģ¦ãģıãĤĭ":141388,"à¸ļุà¸ģ":141389,"âĿ¤":141390,"ÑĦан":141391,"פש×ĺ":141392,"à¸ļัà¸Ļà¹Ģà¸Ĺ":141393,"à¸ļัà¸Ļà¹Ģà¸Ĺิà¸ĩ":141394,"ĠاÙĦساد":141395,"ĠاÙĦسادس":141396,"ĠاÙĦÙĤÙĪÙħ":141397,"ĠاÙĦÙĤÙĪÙħÙĬ":141398,"Ġyönetici":141399,"ÙĩÙĪات":141400,"ÙĩÙĪاتÙģ":141401,"Ġresponsável":141402,"ĠподдеÑĢжива":141403,"ĠاÙĦسÙĦØ·":141404,"ĠاÙĦسÙĦطات":141405,"ãģĹãģ¦ãģĬãģı":141406,"ãĥļãĥĥãĥĪ":141407,"à¸Ľà¸¸à¹Īม":141408,"ĠoglÄħda":141409,"ÙĨاÙĤ":141410,"ÙĨاÙĤØ´":141411,"à¸Ħà¸Ńà¸Ļà¹Ĥà¸Ķ":141412,"ĠMüsl":141413,"ĠMüslü":141414,"ĠMüslüman":141415,"ĠMoż":141416,"ĠMożna":141417,"Ġnumérique":141418,"Ġvá»ı":141419,"ĠسÙĬتÙħ":141420,"ĠyerleÅŁ":141421,"монÑĤаж":141422,"Ġgoût":141423,"ãģ¦ãģĬãĤĬãģ¾ãģĻ":141424,"ĠKhánh":141425,"Ġедин":141426,"ĠединÑģÑĤв":141427,"اÙĨØ®Ùģ":141428,"اÙĨØ®Ùģاض":141429,"ìĭľíĹĺ":141430,"Ġlặng":141431,"ĠÑĢолÑĮ":141432,"à¸ķัวà¹ģà¸Ĺà¸Ļ":141433,"à¸Ħà¹Īาà¹ĥà¸Ĭà¹ī":141434,"à¸Ħà¹Īาà¹ĥà¸Ĭà¹īà¸Īà¹Īาย":141435,"Ġverfüg":141436,"Ġverfügbar":141437,"ìĻĶëĭ¤":141438,"ãģĦãģļ":141439,"ãģĦãģļãĤĮ":141440,"ĠиÑģÑģледованиÑı":141441,"меÑīа":141442,"×Ķ×Ĺ":141443,"×Ķ×Ĺ×ĸר":141444,"à¹ģà¸Łà¸Ĭัà¹Īà¸Ļ":141445,"تصرÙģ":141446,"إرÙĩاب":141447,"ĠexercÃŃcio":141448,"Ġélev":141449,"Ġélevé":141450,"สัà¸įà¸įาà¸ĵ":141451,"ÃĸZ":141452,"ãĥĹãĥŃãĤ°":141453,"ãĥĹãĥŃãĤ°ãĥ©":141454,"ãĥĹãĥŃãĤ°ãĥ©ãĥł":141455,"ĠwewnÄĻtrzn":141456,"Ġhenüz":141457,"é£Ľãģ³":141458,"à¹Ģà¸Ķà¸Ńรà¹Į":141459,"ÑģÑĥж":141460,"ÑģÑĥжден":141461,"شعÙĪب":141462,"ãģ²ãģ¨ãĤĬ":141463,"ĠwyÅĤÄħ":141464,"ĠwyÅĤÄħcznie":141465,"ĠплоÑħо":141466,"ÐĶÐķ":141467,"Ầ":141468,"ÙģعاÙĦÙĬ":141469,"ÙģعاÙĦÙĬات":141470,"ĠاÙĦعشر":141471,"ÑģÑĤÑĥпил":141472,"Ġyarg":141473,"Ġyargı":141474,"нÑİÑİ":141475,"×ķ×IJ×ij":141476,"Ġuç":141477,"Ġuçak":141478,"ë²½":141479,"تÙĪÙĤÙĬ":141480,"تÙĪÙĤÙĬع":141481,"Ġì¤ijìĭ¬":141482,"׳×Ļ×ķ×ķ×ĺ":141483,"Ø£ÙĥÙĦ":141484,"ç½®ãģĦãģ¦":141485,"éłĤãģį":141486,"Ġ×Ķת×ij":141487,"Ġ×Ķת×ij×Ļ×¢×Ķ":141488,"Ġdürfen":141489,"ÙħÙĤاÙĦ":141490,"ÙħÙĤاÙĦات":141491,"ĠزÙħÙĨ":141492,"à¸ŀฤศ":141493,"à¸ŀฤศà¸Ī":141494,"à¸ŀฤศà¸Īิà¸ģ":141495,"à¸ŀฤศà¸Īิà¸ģายà¸Ļ":141496,"ĠнеÑģколÑĮ":141497,"ĠнеÑģколÑĮки":141498,"ĠнеÑģколÑĮкиÑħ":141499,"Ġcriança":141500,"มิà¸ķร":141501,"×ŀ׼×Ļר×ķת":141502,"à¸ģารà¸ļริหาร":141503,"Ġtélécharg":141504,"Ġ×IJ×ķ×Ķ×ijת":141505,"ĠBüro":141506,"ä½ľãģ£ãģŁ":141507,"ĠKiÅŁi":141508,"ç¾İåij³ãģĹ":141509,"à¹Ģลยà¸Ħà¹Īะ":141510,"à¸ŀà¸ļà¸ģัà¸ļ":141511,"à¸Īà¹īา":141512,"Ġçer":141513,"Ġçerç":141514,"Ġçerçeve":141515,"ãĤĴä½ľãģ£ãģ¦":141516,"ĠпеÑĢвÑĥÑİ":141517,"×ŀצר×Ļ×Ŀ":141518,"×IJ׾×ķ×Ķ":141519,"×IJ׾×ķ×Ķ×Ļ×Ŀ":141520,"Ġagré":141521,"Ġagréable":141522,"Ġayır":141523,"Ä°LÄ°":141524,"ãĤ¥":141525,"ĠíĺĦ":141526,"ĠíĺĦìĭ¤":141527,"ثاÙĦØ«":141528,"ת×ĸ":141529,"ת×ĸ×ķ׳×Ķ":141530,"ãģ¨ãģĦãģ£ãģ¦":141531,"ãģ¨ãģĦãģ£ãģ¦ãĤĤ":141532,"ĠابÙĪ":141533,"ĠÑģобак":141534,"é£Łãģ¹ãģŁ":141535,"Ġданном":141536,"à¹Ģลิ":141537,"à¹Ģลิศ":141538,"Ġíļ":141539,"Ġíļ¨":141540,"Ġíļ¨ê³¼":141541,"ãĤĤãĤīãģĪãĤĭ":141542,"׳צ׾":141543,"ÑĦик":141544,"ÑĦикÑģ":141545,"ĠjesteÅĽmy":141546,"ת×Ĺ×ķש×Ķ":141547,"à¹Ħมà¹Īà¸Ħวร":141548,"ĠØŃسÙĬÙĨ":141549,"à¸ģารลà¸ĩà¸Ĺุà¸Ļ":141550,"ë´¤":141551,"ĠÐĺменно":141552,"à¸ļà¸Ńรà¹Į":141553,"à¸ļà¸Ńรà¹Įà¸Ķ":141554,"ĠCảnh":141555,"ìĦľë¹ĦìĬ¤":141556,"Ġполов":141557,"Ġполовин":141558,"ĠзамеÑĩа":141559,"ãģĦãĤįãĤĵãģª":141560,"Ġ×ij×Ļק":141561,"Ġ×ij×Ļקש":141562,"лÑĥÑĪ":141563,"ãĤĴè¿İ":141564,"ãĤĴè¿İãģĪ":141565,"جرÙĬÙħØ©":141566,"Ġtây":141567,"ĠاÙĦÙĨÙĪ":141568,"ĠاÙĦÙĨÙĪÙĪÙĬ":141569,"ÃĤN":141570,"ì¿ł":141571,"หà¸Ļาว":141572,"Ġ×ij×Ĺש×ij×ķף":141573,"زار":141574,"à¸Ķาร":141575,"à¸Ķารา":141576,"ĠÅĽl":141577,"ĠÅĽlub":141578,"มีà¸Ħวามสุà¸Ĥ":141579,"Ġnhu":141580,"ĠnhuáºŃn":141581,"ÙħØŃطة":141582,"à¹Ģสืà¹īà¸Ńà¸ľà¹īา":141583,"ĠТолÑĮко":141584,"ĠÙĥس":141585,"ĠÙĥسارة":141586,"ÙħشرÙĪع":141587,"niÄĻcia":141588,"×¢×Ľ×©×Ļ×ķ":141589,"تÙĦÙģ":141590,"تÙĦÙģزÙĬ":141591,"تÙĦÙģزÙĬÙĪÙĨ":141592,"ĠlÆ°á»Ľi":141593,"ĠÐľÐ¾ÑģквÑĭ":141594,"Ġréserve":141595,"ĠanlaÅŁ":141596,"ĠanlaÅŁÄ±l":141597,"ĠedeceÄŁi":141598,"รà¸Ńà¸ĩà¹Ģà¸Ĺà¹īา":141599,"Ġبط":141600,"ĠبطرÙĬ":141601,"ĠبطرÙĬÙĤØ©":141602,"ãģ¦ãģĹãģ¾ãģ£ãģ¦":141603,"ãĤĤãĤīãģ£ãģ¦":141604,"برج":141605,"æ±ļ":141606,"æ±ļãĤĮ":141607,"Ġchoc":141608,"Ġchocia":141609,"Ġchociaż":141610,"Ġzobac":141611,"ĠzobaczyÄĩ":141612,"пÑĢÑı":141613,"пÑĢÑıжен":141614,"ĠÑĨиÑĦ":141615,"ĠÑĨиÑĦÑĢ":141616,"Ġмам":141617,"ĠвзÑıÑĤÑĮ":141618,"Ġchạm":141619,"جسÙħ":141620,"ØŃÙħاس":141621,"à¹Ģลà¹Īม":141622,"à¸ŀิษ":141623,"×Ķפ׼×ķ":141624,"à¸Ĭà¹Īà¸Ńà¸ĩà¸Ĺาà¸ĩ":141625,"Ġвек":141626,"Ġвека":141627,"Æ¡Ìģ":141628,"Æ¡Ìģi":141629,"ĠTiá»ģn":141630,"Ġtrầm":141631,"мÑĭÑĪ":141632,"мÑĭÑĪл":141633,"ĠÑĤÑĥ":141634,"ĠÑĤÑĥÑĢиÑģÑĤ":141635,"Ġchc":141636,"ĠchcÄħ":141637,"Ġавг":141638,"ĠавгÑĥÑģÑĤ":141639,"ĠавгÑĥÑģÑĤа":141640,"ס×IJ×ķת":141641,"Ġר×Ĵ׾":141642,"à¸ľà¸¥à¸ģระà¸Ĺ":141643,"à¸ľà¸¥à¸ģระà¸Ĺà¸ļ":141644,"å¤īãĤıãĤĭ":141645,"Ġ×Ķ×IJ×Ĺר×ķ׳×Ļ×Ŀ":141646,"سÙģÙĬر":141647,"ĠÑĩаÑīе":141648,"ãģĦãĤī":141649,"ãģĦãĤīãģ£":141650,"ãģĦãĤīãģ£ãģĹãĤĥ":141651,"×ķ×ŀ׳×Ļ×Ŀ":141652,"Ġarttır":141653,"ĠChá»ĭ":141654,"Ġì¡°ì§ģ":141655,"ĠÑĥÑģпеÑħ":141656,"Ġ×¢×ķס":141657,"Ġ×¢×ķסק":141658,"ĠìĥĿëªħ":141659,"ÑĨиÑĤ":141660,"Ġregión":141661,"ÐŀÐĿ":141662,"ĠdoÄŁum":141663,"ĠyaÅŁad":141664,"ĠyaÅŁadıģı":141665,"à¸Ĺà¸Ķลà¸Ńà¸ĩ":141666,"Ġgözü":141667,"ש×Ļר×Ķ":141668,"дÑĥмал":141669,"Ġdaģı":141670,"Ġdaģıt":141671,"à¸Ĺีมà¸ĩาà¸Ļ":141672,"Ġtiá»ģm":141673,"ĠاÙĦÙĥبر":141674,"ĠاÙĦÙĥبرÙī":141675,"ì¹Ń":141676,"ĠGünc":141677,"ĠGüncelle":141678,"ĠGüncelleme":141679,"ê¹Ĭ":141680,"ĠобоÑĢÑĥдование":141681,"ĠÑĢеÑĪа":141682,"Ụ":141683,"ĠпиÑĤ":141684,"ĠпиÑĤаниÑı":141685,"à¹Ģรียà¸ļ":141686,"×Ľ×ª×Ļ×ij×Ķ":141687,"Ġпон":141688,"ĠпонÑĢав":141689,"ĠпонÑĢави":141690,"Ġ×Ķ×ķ׾×ĵ":141691,"Ġ×Ķ×ķ׾×ĵת":141692,"Ġê²ģ":141693,"Ġê²ģëĭĪëĭ¤":141694,"ĠпеÑĢвой":141695,"ãĥ©ãĤ¤ãĥķ":141696,"ĠÅŁiir":141697,"krÄĻ":141698,"krÄĻc":141699,"Ġthiá»ĥu":141700,"à¹Ģลยà¸Ĺี":141701,"à¹Ģลยà¸Ĺีà¹Ģà¸Ķียว":141702,"×ĺ×¢×ł×ķת":141703,"ائÙĩÙħ":141704,"Ġ×IJס×ķר":141705,"ĠплаÑĤеж":141706,"تردد":141707,"Ġmożliwe":141708,"ĠkhỼ":141709,"ĠkhỼp":141710,"تÙģاعÙĦ":141711,"ĠÑĪколÑĮ":141712,"ĠÑĪколÑĮн":141713,"ĠÙĤصة":141714,"Ġmétier":141715,"nÄĻÅĤa":141716,"หลà¹Īà¸Ń":141717,"Ġủng":141718,"Ġprzegl":141719,"ĠprzeglÄħd":141720,"ĠاÙĦÙħتعÙĦ":141721,"ĠاÙĦÙħتعÙĦÙĤØ©":141722,"ĠÑģÑĭн":141723,"Ġволн":141724,"ãĥĩãĥ¼ãĥĪ":141725,"ĠÐŃÑĤи":141726,"ĠкÑĢоме":141727,"à¸Ħารà¹Į":141728,"׳ק×ķ×ĵ×Ķ":141729,"Ġ׾ש×ŀ×ķ×¢":141730,"Ġ×ĸ×ķ׼ר":141731,"Ｇ":141732,"ÙĬÙİا":141733,"Ġgiá»ıi":141734,"åĥįãģı":141735,"ĠÑģни":141736,"ĠÑģнижен":141737,"à¹ģà¸Ķà¸Ķ":141738,"รุà¸Ļ":141739,"รุà¸Ļà¹ģรà¸ĩ":141740,"Ġhiá»ĩp":141741,"ografÃŃa":141742,"à¹Ģà¸Īà¸Ńรà¹Į":141743,"Ġдвиг":141744,"ĠдвигаÑĤ":141745,"ĠдвигаÑĤел":141746,"Ġüy":141747,"Ġüyeler":141748,"Ġüyeleri":141749,"ĠбÑĥк":141750,"ĠбÑĥкв":141751,"ãĤĤå¤ļãģı":141752,"Ġthiá»ĩt":141753,"ĠPaÃŃs":141754,"ĠطبÙĬعÙĬ":141755,"à¹ģà¸Īà¸ģ":141756,"ĠاÙĦصØŃÙĬØŃ":141757,"Ġappré":141758,"Ġappréci":141759,"Ġdecisión":141760,"Ġë°ĺëĵľ":141761,"Ġë°ĺëĵľìĭľ":141762,"ĠÑĤебе":141763,"ãĤ·ãĥ¼ãĤº":141764,"ãĤ·ãĥ¼ãĤºãĥ³":141765,"ĠдалÑĮн":141766,"ĠìĬ¤":141767,"ĠìĬ¤ìĬ¤":141768,"ĠìĬ¤ìĬ¤ë¡ľ":141769,"ĠThá»ĥ":141770,"ĠkarÅŁ":141771,"ĠkarÅŁÄ±s":141772,"ĠkarÅŁÄ±sında":141773,"ĠKön":141774,"ĠKönig":141775,"ивание":141776,"×ij×ķצע":141777,"глаÑģ":141778,"Ġtwó":141779,"Ġtwórc":141780,"à¸Ľà¸ģà¸Ħร":141781,"à¸Ľà¸ģà¸Ħรà¸Ńà¸ĩ":141782,"ĠGÅĤ":141783,"ĠGÅĤówn":141784,"ĠUnterstüt":141785,"ĠUnterstützung":141786,"ĠдÑĥÑħ":141787,"ĠдÑĥÑħов":141788,"Ø£ÙħاÙĨ":141789,"×Ĺשש":141790,"تظ":141791,"تظاÙĩر":141792,"ĠлÑİбом":141793,"à¸ķาร":141794,"à¸ķาราà¸ĩ":141795,"Ġkról":141796,"Ø£ØŃدث":141797,"ì¡Įëĭ¤":141798,"ÐļÑĥÑĢÑģ":141799,"ãĥĥãĥĦ":141800,"×ŀק×ķ×ij׾":141801,"ĠÑģимвол":141802,"Ġdésorm":141803,"Ġdésormais":141804,"wüns":141805,"wünsche":141806,"Ñĥни":141807,"ÑĥниÑĨип":141808,"ÑĥниÑĨипалÑĮн":141809,"หลัà¸ģสูà¸ķร":141810,"ÙĨتشر":141811,"Ġал":141812,"Ġалк":141813,"Ġалког":141814,"Ġалкогол":141815,"ĠÑĥÑĩиÑĤÑĭва":141816,"à¸ģำà¸ģัà¸ļ":141817,"Ġ×ľ×¤×¢×ķ׾":141818,"ĠìĹ°ê²°":141819,"sÄħd":141820,"ĠاÙĦØ£ÙĬ":141821,"ĠاÙĦØ£ÙĬاÙħ":141822,"غÙĬاب":141823,"ĠнаÑĢ":141824,"ĠнаÑĢко":141825,"×ŀ×ķ×ĵ×¢":141826,"ĠÑģеÑĢии":141827,"пиÑģÑĭва":141828,"สิว":141829,"ç¶ļãģĦãģ¦":141830,"çĶ³ãģĹè¾¼ãģ¿":141831,"Ġ׾×Ĵר":141832,"Ġ׾×Ĵר×ķ×Ŀ":141833,"Ġдем":141834,"Ġдемо":141835,"Ġë³´ëĤ´":141836,"تÙĩدÙĬد":141837,"ĠÙħØ´ÙĬرا":141838,"Ġduy":141839,"Ġduyá»ĩt":141840,"ĠwiÄĻksze":141841,"ÙħعاÙĬ":141842,"ÙħعاÙĬÙĬر":141843,"ĠGda":141844,"ĠGdaÅĦsk":141845,"Ġrah":141846,"Ġrahats":141847,"Ġrahatsız":141848,"ר×ķצ×Ķ":141849,"lös":141850,"lösung":141851,"ĠТаким":141852,"ÑĪед":141853,"ÑĪедÑĪ":141854,"عزÙĦ":141855,"Ġרש×Ļ×ŀת":141856,"Ġ׾×Ķ×Ļ׼":141857,"Ġ׾×Ķ×Ļ×Ľ×ł×¡":141858,"ĠпÑĥÑĤ":141859,"ĠпÑĥÑĤеÑĪ":141860,"ĠпÑĥÑĤеÑĪеÑģÑĤв":141861,"ĠnotÃŃcia":141862,"ĠalÄ±ÅŁ":141863,"ĠalÄ±ÅŁver":141864,"ĠalÄ±ÅŁveriÅŁ":141865,"ĠwÅĤos":141866,"ĠwÅĤosów":141867,"Ġبغ":141868,"Ġبغداد":141869,"Ġveröffent":141870,"Ġveröffentlicht":141871,"ĠKhá":141872,"Ġtán":141873,"ëIJĺ기":141874,"Ġ방문":141875,"ÙģÙĬÙĦ":141876,"à¹Ģà¸ģิà¸Ķà¸Īาà¸ģ":141877,"åı¯æĦĽ":141878,"åı¯æĦĽãģĦ":141879,"à¸ĸุà¸ĩ":141880,"ĠzewnÄĻtrzn":141881,"à¸łà¸²à¸©à¸²à¸Ńัà¸ĩà¸ģฤษ":141882,"Ġmáxima":141883,"Ġulus":141884,"Ġuluslararası":141885,"Ġ׳×Ķ׳":141886,"à¸Ĥà¹Īาวสาร":141887,"ĠìĿĺìĤ¬":141888,"à¹Ģหลืà¸Ńà¸ĩ":141889,"ĠدÙĤ":141890,"ĠدÙĤائÙĤ":141891,"สืà¹Īà¸Ńสาร":141892,"먼":141893,"ĠÑģоÑģÑĤоÑıнии":141894,"สมาà¸Ħม":141895,"á»Ĥ":141896,"ĠÐľÐ¾Ñģков":141897,"ĠÐľÐ¾ÑģковÑģк":141898,"×ŀס×ķ×Ĵ׾":141899,"ãģĭãģĭãĤĬ":141900,"ĠTruyá»ģn":141901,"à¹ģà¸Ĥà¹ĩà¸ĩà¹ģรà¸ĩ":141902,"×ŀ×Ĺ×ĸ×Ļק":141903,"à¹Ĥà¸ģà¹ī":141904,"ÙĬسر":141905,"ìĶ©":141906,"×IJ×ķק":141907,"×IJ×ķק×ĺ":141908,"×IJ×ķק×ĺ×ķ×ijר":141909,"Ġproximité":141910,"ÙħÙĨÙĩج":141911,"ĠاÙĦجز":141912,"ĠاÙĦجزائ":141913,"ĠاÙĦجزائرÙĬ":141914,"ĠÄIJiá»ĥm":141915,"Ġденеж":141916,"Ġденежн":141917,"ÙģØŃص":141918,"Ùģئ":141919,"ĠÐijÑĥд":141920,"×Ĵ×Ļ×ĵ×ķ׾":141921,"ĠÐĴедÑĮ":141922,"عÙĦاÙħØ©":141923,"Ġ×IJ×Ĺר×ķ׳×ķת":141924,"ãģĦãģŁãģłãģĦãģ¦":141925,"سÙĦØŃ":141926,"ØŃÙĦÙħ":141927,"زÙĪار":141928,"Ùĥسر":141929,"×ĺקס":141930,"Ġбан":141931,"Ġбанков":141932,"ĠпÑĢож":141933,"ĠпÑĢожива":141934,"liwo":141935,"liwoÅĽci":141936,"ĠTiếp":141937,"ĠاÙĦÙħÙĨاسب":141938,"ĠاÙĦØ®ÙĬار":141939,"ãģĬãģĭ":141940,"ãģĬãģĭãģĴ":141941,"à¸Ķà¸Ńà¸ģà¹Ħมà¹ī":141942,"ämp":141943,"ämpfe":141944,"à¸ķัà¹īà¸ĩà¹ĥà¸Ī":141945,"ĠзаÑīиÑĤ":141946,"ĠзаÑīиÑĤÑĭ":141947,"ĠThÆ°á»Ŀng":141948,"ĠصÙģ":141949,"ĠصÙģØŃØ©":141950,"×Ĺ×ķרף":141951,"ãĥIJãĥĥãĤ°":141952,"Ġ×ĵ×Ļ×Ĵ":141953,"Ġ×ĵ×Ļ×Ĵ×Ļ×ĺ":141954,"Ġ×ĵ×Ļ×Ĵ×Ļ×ĺ׾×Ļ":141955,"Ġ×Ķ×Ĺ×ķ׾×Ļ×Ŀ":141956,"веÑī":141957,"веÑīа":141958,"ĠкÑĥлÑĮÑĤ":141959,"ĠкÑĥлÑĮÑĤÑĥ":141960,"ĠкÑĥлÑĮÑĤÑĥÑĢÑĭ":141961,"ĠاÙĦاÙĨترÙĨت":141962,"Ġhöch":141963,"Ġhöchst":141964,"Ġíĺķ":141965,"Ġíĺķíĥľ":141966,"Ġвой":141967,"ĠвойнÑĭ":141968,"ÐĽÐŀ":141969,"ìĭłìļ©":141970,"Ġ×ŀ×ij×ķס":141971,"Ġ×ŀ×ij×ķסס":141972,"×ŀ׳×Ļ×¢":141973,"Ġfiyatı":141974,"ĠÑģлÑĥж":141975,"ĠÑģлÑĥжбÑĭ":141976,"à¸Ĺัศ":141977,"à¸Ĺัศà¸Ļ":141978,"ãģĵãģ¨ãģĮå¤ļãģĦ":141979,"Ġ×Ķ×ŀשת":141980,"Ġ×Ķ×ŀשת×ŀש":141981,"å¯ĦãģĽ":141982,"×ŀש׾×ķ×Ĺ":141983,"æĻĤçĤ¹":141984,"æĻĤçĤ¹ãģ§":141985,"à¸ŀรี":141986,"à¸ŀรีà¹Ģมีย":141987,"à¸ŀรีà¹Ģมียรà¹Į":141988,"à¸ŀรีà¹Ģมียรà¹Įลีà¸ģ":141989,"Ġdifficolt":141990,"ĠdifficoltÃł":141991,"ãĥ¬ãĤ¹ãĥĪ":141992,"ãĥ¬ãĤ¹ãĥĪãĥ©ãĥ³":141993,"สมà¹Ģà¸Ķà¹ĩ":141994,"สมà¹Ģà¸Ķà¹ĩà¸Ī":141995,"Ġжид":141996,"Ġжидк":141997,"ĠzupeÅĤ":141998,"ĠzupeÅĤnie":141999,"ĠÙħجر":142000,"ĠÙħجرد":142001,"ãģĮå§ĭ":142002,"ãģĮå§ĭãģ¾":142003,"ãĤŃãĥ£ãĥ©":142004,"Ġ×IJ×ķ×ķ×Ļר":142005,"ãģĬäºĴ":142006,"ãģĬäºĴãģĦ":142007,"ĠpotrÃł":142008,"ĠPaÅĦst":142009,"ĠPaÅĦstwo":142010,"ĠبÙĬاÙĨ":142011,"ĠبÙĬاÙĨات":142012,"Ġиногда":142013,"ĠÑĢа":142014,"ĠÑĢаÑģÑĤв":142015,"ĠÑĢаÑģÑĤвоÑĢ":142016,"Ġ×ĸ×ŀ׳":142017,"ยิà¹īม":142018,"ÄĨ":142019,"ãģ¾ãģķ":142020,"ãģ¾ãģķãģ«":142021,"ãĥķãĤ¡ãĤ¤ãĥ«":142022,"ĠgördÃ¼ÄŁÃ¼":142023,"สà¸ĩà¸Ħร":142024,"สà¸ĩà¸Ħราม":142025,"ĠArkadaÅŁ":142026,"ĠrozwiÄħzania":142027,"×ŀ×ķ×ĺ":142028,"piÄĻ":142029,"piÄĻt":142030,"صغر":142031,"สย":142032,"สยาม":142033,"ãĤĨãģ£ãģıãĤĬ":142034,"Ġtrần":142035,"ĠeconomÃŃa":142036,"Ġgehören":142037,"ãĤ·ãĥ§ãĥ¼":142038,"ĠsÅĤucha":142039,"à¸ŀà¸Ńà¹ĥà¸Ī":142040,"ĠоÑĤмеÑĤил":142041,"ÙĨتÙĤÙĦ":142042,"Ġpropósito":142043,"ĠваÑĪего":142044,"Ġnhắn":142045,"à¹ģà¸ĸว":142046,"ĠкомиÑģ":142047,"ĠкомиÑģÑģи":142048,"ważnie":142049,"ĠyavaÅŁ":142050,"×ŀ×Ļק":142051,"×ŀ×Ļק×ķ×Ŀ":142052,"ש×IJ×ľ×ª":142053,"Ġyıllarda":142054,"ĠЮ":142055,"ĠЮÑĢ":142056,"×ł×¡×Ļ×ij×ķת":142057,"תצ":142058,"תצ×ķ×Ĵ":142059,"ĠоднÑĥ":142060,"Ġà¸Ńยà¹Īาà¸ĩà¹Ħร":142061,"Ġà¸Ńยà¹Īาà¸ĩà¹Ħรà¸ģà¹ĩà¸ķาม":142062,"ëģ¼":142063,"à¹Ħลà¹Ī":142064,"تسÙĦÙĬÙħ":142065,"بÙĦاغ":142066,"Ġìī":142067,"Ġìī½":142068,"Ġìī½ê²Į":142069,"ãĥļãĥ³":142070,"звÑĥÑĩ":142071,"ĠWäh":142072,"ĠWährend":142073,"Ġ×Ļ×Ļת":142074,"Ġ×Ļ×Ļ×ª×Ľ×Ł":142075,"Ġkhuyên":142076,"Ġvẽ":142077,"ĠамеÑĢ":142078,"ĠамеÑĢик":142079,"ĠамеÑĢикан":142080,"ĠамеÑĢиканÑģк":142081,"عجب":142082,"ãĥĽãĥ¼ãĥłãĥļãĥ¼ãĤ¸":142083,"ĠникÑĤо":142084,"ĠÙĤÙİ":142085,"ĠÙĤÙİاÙĦ":142086,"ĠÙĤÙİاÙĦÙİ":142087,"ÐIJÐĹ":142088,"ÙħجÙħÙĪع":142089,"ÙħجÙħÙĪعات":142090,"ĠnecessitÃł":142091,"Ġpobli":142092,"Ġpobliżu":142093,"Ġphấn":142094,"ĠСообÑī":142095,"ÙħÙĤاط":142096,"ÙħÙĤاطع":142097,"Ġ×Ķצ×ķר×ļ":142098,"laÅŁtırma":142099,"วิà¸Ķ":142100,"วิà¸Ķี":142101,"วิà¸Ķีà¹Ĥà¸Ń":142102,"Ġ그리ìĬ¤":142103,"Ġ그리ìĬ¤ëıĦ":142104,"ãĤ¿ãĤ¤ãĥŁ":142105,"ãĤ¿ãĤ¤ãĥŁãĥ³ãĤ°":142106,"ק×ĺ×Ĵ×ķר":142107,"ק×ĺ×Ĵ×ķר×Ļ×Ķ":142108,"Ġ×Ĺ×ķפ":142109,"Ġ×Ĺ×ķפש×Ļ":142110,"أجر":142111,"Ġимени":142112,"ĠÑĢанее":142113,"à¹Ģà¸ŀืà¹Īà¸Ńà¸Ļà¹Ĩ":142114,"ĠJesús":142115,"Ñģоедин":142116,"Ñģоединен":142117,"Ġר×Ĺ×ķק":142118,"à¹Ĥà¸ļรา":142119,"à¹Ĥà¸ļราà¸ĵ":142120,"ĠHÆ¡n":142121,"ĠtháºŃp":142122,"تعÙĬÙĬÙĨ":142123,"ĠtartÄ±ÅŁ":142124,"ĠtartÄ±ÅŁma":142125,"ĠGespr":142126,"ĠGespräch":142127,"תר×ķפ":142128,"תר×ķפ×ķת":142129,"Ġcatégorie":142130,"ĠоказÑĭва":142131,"ĠналиÑĩие":142132,"Ġprésenté":142133,"Ġkull":142134,"Ġkulland":142135,"Ġkullandı":142136,"Ġünl":142137,"Ġünlü":142138,"ĠÙģÙĥرة":142139,"изаÑĤоÑĢ":142140,"×IJ×ķ׳":142141,"×IJ×ķ׳×Ļ×ij":142142,"×IJ×ķ׳×Ļ×ijרס":142143,"×IJ×ķ׳×Ļ×ijרס×Ļ×ĺת":142144,"ĠÑĢаÑģÑģмаÑĤ":142145,"ĠÑĢаÑģÑģмаÑĤÑĢ":142146,"ĠÑĢаÑģÑģмаÑĤÑĢива":142147,"تÙĥÙĦÙħ":142148,"ÙĥترÙĪ":142149,"ÙĥترÙĪÙĨÙĬ":142150,"ĠÑģоÑĩеÑĤ":142151,"ĠÑģоÑĩеÑĤа":142152,"ãĤĴè¦ĭãģĽ":142153,"Ġngừa":142154,"ĠÐłÐµÑģп":142155,"ĠÐłÐµÑģпÑĥб":142156,"ĠÐłÐµÑģпÑĥблик":142157,"ãĤ¦ãĤ©":142158,"ãĤ¦ãĤ©ãĥ¼":142159,"ĠÐľÐµÐ¶Ð´Ñĥ":142160,"ĠìŀĪê²Į":142161,"Ġmâ":142162,"ĠìļĶì²Ń":142163,"ضار":142164,"ลุà¹īà¸Ļ":142165,"ëĮĢíķĻêµIJ":142166,"×ĸ×Ļ׼":142167,"×ĸ×Ļ׼ר×ķף":142168,"ãĤ¹ãĥļ":142169,"ãĤ¹ãĥļãĥ¼ãĤ¹":142170,"ĠкÑĢаÑģоÑĤ":142171,"Ｈ":142172,"ê¼Ń":142173,"ãĤĴéĽĨ":142174,"ãĤĴéĽĨãĤģ":142175,"ë°Ŀ":142176,"Ġ×Ķ׳×IJ":142177,"Ġ×Ķ׳×IJש×Ŀ":142178,"Ġê°Ģìļ´":142179,"Ġê°Ģìļ´ëį°":142180,"تÙĥÙĦÙģØ©":142181,"ĠØŃÙĤÙĬÙĤÙĬ":142182,"Ġhalk":142183,"Ġhalkın":142184,"ÑİÑīÑĥÑİ":142185,"ĠÑģпин":142186,"סר×ĺף":142187,"ĠпеÑĢвого":142188,"Ġполож":142189,"ĠположиÑĤелÑĮн":142190,"Ġдл":142191,"ĠдлиÑĤелÑĮн":142192,"ĠVÄ©nh":142193,"ê´´":142194,"ĠÑģÑĭÑĢ":142195,"ĠíĨµíķĺìŬ":142196,"ë³ijìĽIJ":142197,"à¹Ĥรà¸ĩà¸ĩาà¸Ļ":142198,"รัà¸ļà¸ľà¸´à¸Ķ":142199,"รัà¸ļà¸ľà¸´à¸Ķà¸Ĭà¸Ńà¸ļ":142200,"تجÙĨب":142201,"sÅĤ":142202,"sÅĤuch":142203,"ãĤ¢ãĥ«ãĥIJ":142204,"ãĤ¢ãĥ«ãĥIJãĥł":142205,"ëī´ìĬ¤":142206,"Ġpatië":142207,"Ġpatiënt":142208,"Ġìĺ¤í":142209,"Ġìĺ¤íŀ":142210,"Ġìĺ¤íŀĪ":142211,"Ġìĺ¤íŀĪ볤":142212,"ĠDerne":142213,"ĠDerneÄŁi":142214,"wróci":142215,"wróciÄĩ":142216,"ĠобÑī":142217,"ĠобÑīеÑģÑĤв":142218,"ĠобÑīеÑģÑĤвенно":142219,"ĠêµIJìĪĺ":142220,"tıģımız":142221,"Ġ×Ķ×ŀש×Ļ×ij":142222,"körper":142223,"Ġпозвол":142224,"ĠпозволиÑĤ":142225,"ĠChiến":142226,"أخÙĪ":142227,"ĠAydın":142228,"à¸Ķà¹īาà¸Ļล":142229,"à¸Ķà¹īาà¸Ļลà¹Īาà¸ĩ":142230,"Ġdru":142231,"Ġdruż":142232,"Ġdrużyn":142233,"Ġë°ľíijľ":142234,"ĠThảo":142235,"جÙĩاد":142236,"à¸ģระà¸Ĺูà¹ī":142237,"ĠкÑĢов":142238,"ĠкÑĢови":142239,"Ġiçerik":142240,"Ġnadzie":142241,"ĠnadziejÄĻ":142242,"ĠСмоÑĤÑĢ":142243,"Ġphức":142244,"جتÙħاع":142245,"جتÙħاعÙĬØ©":142246,"компон":142247,"компоненÑĤ":142248,"Ġбил":142249,"ĠбилеÑĤ":142250,"ãĥIJãĥ³ãĥī":142251,"ĠPolÃŃcia":142252,"اÙĦتÙĩ":142253,"اÙĦتÙĩاب":142254,"ØŃرÙģ":142255,"تخط":142256,"تخطÙĬØ·":142257,"ãĤ³ãĥ¼ãĥ":142258,"ãĤ³ãĥ¼ãĥĴ":142259,"ãĤ³ãĥ¼ãĥĴãĥ¼":142260,"･･･":142261,"à¸ĭà¸Ńย":142262,"Ġcrédit":142263,"è²·ãģ£ãģŁ":142264,"ĠпоÑĢÑıд":142265,"ĠпоÑĢÑıдке":142266,"Ġphó":142267,"Ġwida":142268,"ĠwidaÄĩ":142269,"جرائÙħ":142270,"à¸ľà¸µ":142271,"ĠbÄĻdÄĻ":142272,"Ġ×ŀפת×Ĺ":142273,"ãĥijãĥ¼ãĥ":142274,"ãĥijãĥ¼ãĥĨ":142275,"ãĥijãĥ¼ãĥĨãĤ£":142276,"ãĥijãĥ¼ãĥĨãĤ£ãĥ¼":142277,"ĠKaż":142278,"ĠKażdy":142279,"ĠнеобÑħодимоÑģÑĤи":142280,"à¸Łà¸Ńรà¹Į":142281,"à¸Łà¸Ńรà¹Įม":142282,"ĠмалÑĭÑĪ":142283,"ĠплоÑĤ":142284,"ĠÑĥÑģÑĤÑĢой":142285,"ĠÑĥÑģÑĤÑĢойÑģÑĤва":142286,"à¸ĸà¸Ńà¸Ļ":142287,"ĠoluÅŁturul":142288,"ĠÅĽwiad":142289,"ĠÅĽwiadom":142290,"ÙħعÙĩد":142291,"ĠпÑĢоизведен":142292,"Æł":142293,"ר×Ļש":142294,"Ùħستث":142295,"ÙħستثÙħر":142296,"׳×Ļ×Ļר":142297,"pañ":142298,"Ġ;-)":142299,"Ġë°ľê²¬":142300,"Ġgörüyor":142301,"ÙħؤÙĦÙģ":142302,"ĠÄIJá»ģ":142303,"ĠاÙĦÙĨÙĪاب":142304,"×Ĺק×Ļר×Ķ":142305,"Ġmá»ıi":142306,"è¿°ãģ¹":142307,"ÐĿик":142308,"ìŀĸìķĦ":142309,"ìŀĸìķĦìļĶ":142310,"prowadziÅĤ":142311,"lóg":142312,"lógica":142313,"פס×ĺ":142314,"פס×ĺ×Ļ×ij׾":142315,"Ġ×ŀ×ĵ×Ķ":142316,"Ġ×ŀ×ĵ×Ķ×Ļ×Ŀ":142317,"ãģĵãģĵãģ¾ãģ§":142318,"×Ķת×Ĺ":142319,"×Ķת×Ĺ׾×Ķ":142320,"Ġפ×ķס":142321,"Ġפ×ķס×ĺ×Ļ×Ŀ":142322,"Ġнев":142323,"Ġневоз":142324,"Ġневозможно":142325,"ĠdostÄĻpny":142326,"ĠغاÙĦ":142327,"ĠغاÙĦب":142328,"ĠbezpieczeÅĦst":142329,"ĠbezpieczeÅĦstwa":142330,"åĪĨãģĭãĤĭ":142331,"ĠFührung":142332,"à¸ģีà¹ī":142333,"gemÃ¤ÃŁ":142334,"à¸Ĭà¹Īวà¸ĩà¹Ģวลา":142335,"Ġìļ°ë¦¬ëĤĺ":142336,"Ġìļ°ë¦¬ëĤĺëĿ¼":142337,"ãģ¥ãģıãĤĬ":142338,"ĠاÙĦÙħسÙĦ":142339,"ĠاÙĦÙħسÙĦØŃØ©":142340,"Ġliberté":142341,"клÑİÑĩение":142342,"Ġzamów":142343,"Ġzamówienia":142344,"รà¸ĸà¹Ħà¸Ł":142345,"Ø£ÙģÙĦ":142346,"Ø£ÙģÙĦاÙħ":142347,"Ùħراج":142348,"Ùħراجعة":142349,"Ġë¹ĦêµIJ":142350,"ĠاÙĦتاب":142351,"ĠاÙĦتابعة":142352,"Ġë§ĮëĤĺ":142353,"ĠбÑĥм":142354,"ĠбÑĥмаг":142355,"Ġgénero":142356,"Ġìŀĺ못":142357,"×ŀפ×ķר×ĺ":142358,"è²·ãģĦçī©":142359,"ĠÙĦدÙĬÙĥ":142360,"Ġ×ľ×¢×Ļת":142361,"Ġ×ľ×¢×Ļת×Ļ×Ŀ":142362,"ĠsÅĤab":142363,"ĠпÑĢедÑģÑĤавлÑı":142364,"ãĤ¿ãĤ¤ãĥĪ":142365,"ãĤ¿ãĤ¤ãĥĪãĥ«":142366,"Ùħص":142367,"ÙħصطÙģ":142368,"ÙħصطÙģÙī":142369,"Ġdifficulté":142370,"ãĥĨãĤ£ãĥĸ":142371,"ĠpewnoÅĽci":142372,"ĠpewnoÅĽciÄħ":142373,"Ġ무ìĬ¨":142374,"إرس":142375,"إرساÙĦ":142376,"ĠдалÑĮ":142377,"ĠдалÑĮÑĪе":142378,"Ġ×ľ×ł×¡":142379,"Ġ×ľ×ł×¡×ķת":142380,"หมูà¹Īà¸ļà¹īาà¸Ļ":142381,"×ŀס×ŀ׼×Ļ":142382,"أسÙĦÙĪب":142383,"ĠzwÅĤ":142384,"ĠzwÅĤas":142385,"ĠzwÅĤaszc":142386,"ĠzwÅĤaszcza":142387,"ĠпÑĢеж":142388,"ĠпÑĢежде":142389,"ĠоÑĢганизаÑĨиÑı":142390,"Ġdönemin":142391,"Ġdöneminde":142392,"ĠỦ":142393,"ĠỦy":142394,"ä¸ĭãģĴ":142395,"ĠпоÑģледние":142396,"Ġgüne":142397,"ĠgüneÅŁ":142398,"Ġ×IJ×ĸר":142399,"Ġ×IJ×ĸר×Ĺ×Ļ":142400,"ãģ§ãģĤãĤįãģĨ":142401,"ĠÙĨÙĤ":142402,"ĠÙĨÙĤاط":142403,"æŃ£ãģĹãģĦ":142404,"ĠÑĢег":142405,"ĠÑĢегиона":142406,"ĠFörder":142407,"ê²½ìĺģ":142408,"dıklar":142409,"dıklarını":142410,"trzymaÄĩ":142411,"أشÙĥ":142412,"أشÙĥاÙĦ":142413,"×Ķת×IJ":142414,"×Ķת×IJ×ŀ×Ķ":142415,"à¸Ĺำà¹ĥหà¹īà¹Ģà¸ģิà¸Ķ":142416,"ĠGebä":142417,"ĠGebäude":142418,"ĠСеÑĢг":142419,"ĠСеÑĢгей":142420,"ĠздоÑĢов":142421,"ĠздоÑĢовÑĮÑı":142422,"Ġrãi":142423,"ĠпÑĢедÑĥÑģ":142424,"ĠпÑĢедÑĥÑģмоÑĤÑĢ":142425,"ĠпÑĢедÑĥÑģмоÑĤÑĢен":142426,"Ġ×Ķצ×Ļ×ij":142427,"Ġ×Ķצ×Ļ×ij×ķר×Ļ":142428,"Ġdésir":142429,"ĠноÑĩ":142430,"ĠноÑĩÑĮ":142431,"möglichkeiten":142432,"Ġ×IJ×Ĺר×ķ׳×Ļ×Ŀ":142433,"Ġsoirée":142434,"ĠNháºŃn":142435,"Ùª":142436,"à¸Ľà¸£à¸°à¸§à¸±à¸ķิศาสà¸ķรà¹Į":142437,"êµIJíĨµ":142438,"ĠأخÙĬ":142439,"Ġdécid":142440,"Ġdécidé":142441,"Ġwyja":142442,"ĠwyjaÅĽni":142443,"Ġสิ":142444,"Ġสิà¸ĩ":142445,"Ġสิà¸ĩหา":142446,"Ġสิà¸ĩหาà¸Ħม":142447,"à¹ģà¸Ńรà¹Į":142448,"หà¸Ļà¹īาà¸Īà¸Ń":142449,"סתר":142450,"Ġê¶":142451,"Ġê¶Į":142452,"Ġê¶Į리":142453,"plätze":142454,"بطÙĦ":142455,"ê±´ìĦ¤":142456,"Ġ×IJ×Ļ×ŀ×Ļ":142457,"Ġ×IJ×Ļ×ŀ×Ļ×Ļ׾":142458,"ãģ½":142459,"تراث":142460,"×IJ׾×Ļ×ŀ×ķת":142461,"ĠdisponÃŃveis":142462,"Ġzale":142463,"Ġzależy":142464,"à¸Ľà¸£à¸°à¸Ĭาสัมà¸ŀัà¸Ļà¸ĺà¹Į":142465,"ĠÅļwiat":142466,"Ġporówn":142467,"Ġporówna":142468,"Ġ׾×ĺ×ķ×ijת":142469,"×Ķ×ĸ×ŀ׳×Ķ":142470,"Ġ×Ľ×ª×ķצ×IJ×Ķ":142471,"Ġ×ijק׾":142472,"Ġ×ijק׾×ķת":142473,"ĠоÑĤкÑĢ":142474,"ĠоÑĤкÑĢÑĭва":142475,"ãĥijãĥ¯ãĥ¼":142476,"ë¿IJë§Į":142477,"ĠвÑģÑı":142478,"ĠвÑģÑıк":142479,"ãģ¨ãģªãģ£ãģ¦ãģĦãĤĭ":142480,"ĠgiáºŃn":142481,"ĠокÑĢÑĥ":142482,"ĠокÑĢÑĥжа":142483,"ĠокÑĢÑĥжаÑİÑī":142484,"ĠUniversität":142485,"ĠÑĢож":142486,"ĠÑĢожд":142487,"ĠÑĢождениÑı":142488,"Ø®ÙĬÙĦ":142489,"Ġкомпаний":142490,"ĠÑĢазлиÑĩнÑĭе":142491,"ĠЦена":142492,"׳×Ļ×ķ×ĸ":142493,"׳×Ļ×ķ×ĸ׾":142494,"׳×Ļ×ķ×ĸ׾×ĺר":142495,"Ġê³µê°Ħ":142496,"Ġê°ľëħIJ":142497,"landırma":142498,"ĠÑĥдален":142499,"à¸ŀัà¸ģà¸ľ":142500,"à¸ŀัà¸ģà¸ľà¹Īà¸Ńà¸Ļ":142501,"Ġprotección":142502,"ĠbÅĤ":142503,"ĠbÅĤÄĻd":142504,"ÃĪ":142505,"Ġíĸīë³µ":142506,"ĠÅŁÃ¼":142507,"ĠÅŁÃ¼phe":142508,"ĠíĶ":142509,"ĠíĶ¼":142510,"ĠíĶ¼íķ´":142511,"Ġëĭ¤ë¥´":142512,"à¹Ħมà¹Īà¹Ģà¸ģิà¸Ļ":142513,"ãģ¿ãģª":142514,"ãģ¿ãģªãģķãĤĵ":142515,"ĠпоÑĤÑĢеб":142516,"ĠпоÑĤÑĢебиÑĤел":142517,"ĠاÙĦÙĥÙĦاÙħ":142518,"ìķĦë²Ħ":142519,"ìķĦë²Ħì§Ģ":142520,"ãĤĴ使ãģ£ãģŁ":142521,"Ġbụi":142522,"ĠпоÑĤеÑĢ":142523,"ĠпоÑĤеÑĢÑı":142524,"ĠØ¢ÙĦاÙģ":142525,"ĠнаÑģÑĤоÑıÑīее":142526,"ãģıãģªãĤĬãģ¾ãģĹãģŁ":142527,"clusão":142528,"ãĤ³ãĥĶãĥ¼":142529,"צפ×Ļ":142530,"צפ×Ļ×Ļ×Ķ":142531,"Ø®ÙĦا":142532,"Ø®ÙĦاص":142533,"ลà¹īำ":142534,"ãĥ¯ãĤ¤ãĥ³":142535,"Ġมีà¸Ļา":142536,"Ġมีà¸Ļาà¸Ħม":142537,"شخص":142538,"شخصÙĬات":142539,"Ġ×ĸק":142540,"Ġ×ĸק×ķק":142541,"×Ļ×Ļצ":142542,"×Ļ×Ļצ×Ĵ":142543,"èĢĥãģĪæĸ¹":142544,"Ġürünü":142545,"ĠиÑģпол":142546,"ĠиÑģполни":142547,"Ġcompañero":142548,"קצ×Ķ":142549,"×ŀ×¢×ł×Ļק":142550,"ÙħØŃÙħد":142551,"Ġcámara":142552,"Ġпед":142553,"Ġпедаг":142554,"Ġпедагог":142555,"маÑĢ":142556,"маÑĢк":142557,"×Ķ×ª×ł×Ĵ×ĵ":142558,"ĠìĨĮê°ľ":142559,"ĠcomunitÃł":142560,"곤":142561,"ĠNgÃłi":142562,"สà¸ĩà¸ļ":142563,"ĠmieszkaÅĦców":142564,"ĠÙĨÙĩائÙĬ":142565,"ivité":142566,"Ġиде":142567,"ĠидеалÑĮн":142568,"ĠأسبÙĪع":142569,"Ġ×Ļ×¢×ľ":142570,"Ġ׾ר×IJש":142571,"Ġ׾ר×IJש×ķ׳×Ķ":142572,"ĠзапиÑģи":142573,"ĠкоÑĢпÑĥÑģ":142574,"วà¸ĩศ":142575,"วà¸ĩศà¹Į":142576,"ĠÐĶм":142577,"ĠÐĶмиÑĤ":142578,"ĠÐĶмиÑĤÑĢ":142579,"Ġkönnt":142580,"Ġbölges":142581,"Ġbölgesinde":142582,"׼×Ļ׼":142583,"׼×Ļ׼ר":142584,"ĠاÙĦإثÙĨ":142585,"ĠاÙĦإثÙĨÙĬÙĨ":142586,"Ġngá»Ļ":142587,"ì¹ł":142588,"دراج":142589,"Ġuda":142590,"ĠudaÅĤo":142591,"ìºIJ":142592,"برÙĨاÙħج":142593,"ĠÑģÑĥдеб":142594,"ĠÑģÑĥдебн":142595,"Ġzunächst":142596,"ĠEducación":142597,"ãģ¨ãģªãģ£ãģ¦ãģĦãģ¾ãģĻ":142598,"Ġ×Ķ×IJ×ŀ×Ļת×Ļ":142599,"ĠÄ°nt":142600,"ĠÄ°nternet":142601,"ĠcaÅĤego":142602,"ãĥĹãĥªãĥ³":142603,"إبد":142604,"إبداع":142605,"ĠпоÑĢÑĤал":142606,"à¹Ĥà¸ķà¹ī":142607,"Ġ×Ķקש×ķר":142608,"плод":142609,"ĠÙħد":142610,"ĠÙħدرÙĬد":142611,"×ŀסע×ĵ×Ķ":142612,"ĠØ´ÙĬئ":142613,"ĠØ´ÙĬئا":142614,"à¸ģà¹Īà¸Ńสรà¹īาà¸ĩ":142615,"Ġì°¸ê³ł":142616,"à¹Ģà¸Ĺร":142617,"à¹Ģà¸Ĺรà¸Ķ":142618,"Ġ×ij×ŀקר×Ļ×Ŀ":142619,"Ġbât":142620,"Ġbâtiment":142621,"åij¼ãģ³":142622,"ç´łæķµ":142623,"ç´łæķµãģª":142624,"przedsiÄĻbiorst":142625,"przedsiÄĻbiorstw":142626,"Ġ×ł×ª×ķ׳×Ļ×Ŀ":142627,"×Ĺ׾×ķ×Ŀ":142628,"รวย":142629,"ÙħÙĪضÙĪع":142630,"ĠÑģобÑĢан":142631,"ведÑĥÑī":142632,"ĠÑĤеаÑĤ":142633,"ĠÑĤеаÑĤÑĢ":142634,"meye":142635,"meyeceÄŁi":142636,"ĠpieniÄħ":142637,"ĠpieniÄħd":142638,"ĠpieniÄħdze":142639,"ÑĢезиденÑĤ":142640,"ØŃصر":142641,"ìĺ¥":142642,"à¹Ģยืà¸Ńà¸Ļ":142643,"ĠÑĥни":142644,"ĠÑĥнивеÑĢ":142645,"ĠÑĥнивеÑĢÑģ":142646,"ĠÑĥнивеÑĢÑģиÑĤеÑĤ":142647,"ĠاÙĦرØŃ":142648,"ĠاÙĦرØŃÙħÙĨ":142649,"ĠÑĤеÑħнолог":142650,"ĠÑĤеÑħнологии":142651,"ìĹIJëĦĪ":142652,"ìĹIJëĦĪì§Ģ":142653,"ĠíķŃ":142654,"ĠíķŃìĥģ":142655,"à¸ĺา":142656,"à¸ĺาà¸ķุ":142657,"ĠEspañol":142658,"×ĵ×Ĵש":142659,"Ġêµī":142660,"Ġêµīìŀ¥":142661,"Ġêµīìŀ¥íŀĪ":142662,"ĠÅĤat":142663,"ĠÅĤatwo":142664,"Ġká»ĭch":142665,"إز":142666,"إزاÙĦØ©":142667,"ĠдейÑģÑĤвие":142668,"ĠsaÄŁlayan":142669,"สุà¸Ķยà¸Ńà¸Ķ":142670,"ĠzostaÄĩ":142671,"ĠdisponÃŃvel":142672,"ïºį":142673,"verständ":142674,"verständlich":142675,"twor":142676,"tworzyÄĩ":142677,"عجز":142678,"à¹Ģà¸Ĥà¹īม":142679,"ยà¹Īà¸Ńม":142680,"Ġstratég":142681,"Ġstratégie":142682,"à¸ľà¸¥à¹Ħมà¹ī":142683,"Ġê°ģì¢ħ":142684,"ĠÙħÙĪا":142685,"ĠÙħÙĪاض":142686,"ĠÙħÙĪاضÙĬع":142687,"اØŃتج":142688,"اØŃتجاج":142689,"ĠẤ":142690,"ĠẤn":142691,"×ŀ×ŀש׾×Ķ":142692,"ĠÅŁekil":142693,"×ŀ×Ĺ׾":142694,"×ŀ×Ĺ׾×ķת":142695,"Ġà¸ĺ":142696,"Ġà¸ĺัà¸Ļ":142697,"Ġà¸ĺัà¸Ļวา":142698,"Ġà¸ĺัà¸Ļวาà¸Ħม":142699,"Ġìĭ¤ìłľ":142700,"Ġìĭ¤ìłľë¡ľ":142701,"ì¤ijìķĻ":142702,"ëįĶëĿ¼":142703,"ĠÑĪиÑĢ":142704,"ĠÑĪиÑĢоко":142705,"Ġsolución":142706,"วาà¸ĩà¹ģà¸ľà¸Ļ":142707,"×IJ×ķ×ĺ×ķ×ŀ":142708,"×IJ×ķ×ĺ×ķ×ŀ×ĺ×Ļ":142709,"ĠÑĢеÑģÑĤ":142710,"ĠÑĢеÑģÑĤоÑĢ":142711,"ĠÑĢеÑģÑĤоÑĢан":142712,"ëį¸":142713,"ÑĤÑĢад":142714,"ÑĤÑĢади":142715,"ÑĤÑĢадиÑĨион":142716,"ÑĤÑĢадиÑĨионн":142717,"มะà¹Ģรà¹ĩ":142718,"มะà¹Ģรà¹ĩà¸ĩ":142719,"à¹Ĥส":142720,"Ġolmasını":142721,"×ŀ×ķסר":142722,"ĠоÑĤноÑĪении":142723,"Ġê°ĢëĬ¥ìĦ±":142724,"Ġyuk":142725,"Ġyukarı":142726,"ìĨĶ":142727,"ĠÑģÑĦ":142728,"ĠÑģÑĦеÑĢе":142729,"Ġק×ķפ":142730,"ãĤ±ãĥ¼ãĤ":142731,"ãĤ±ãĥ¼ãĤŃ":142732,"âĢķâĢķ":142733,"ĠاÙĦØ£ÙĦÙħ":142734,"ĠاÙĦØ£ÙĦÙħاÙĨÙĬ":142735,"ẢN":142736,"ת×ķ׼׳×Ļ×ķת":142737,"ĠÑģÑĥÑīеÑģÑĤвÑĥеÑĤ":142738,"æĪijãĢħ":142739,"ĠاÙĦصادر":142740,"ĠTrá»įng":142741,"Ġад":142742,"ĠадминиÑģÑĤ":142743,"ĠадминиÑģÑĤÑĢа":142744,"ĠадминиÑģÑĤÑĢаÑĨи":142745,"ĠдÑĢÑĥгими":142746,"ÑģпеÑĪ":142747,"عÙĦاÙħات":142748,"Ġаб":142749,"ĠабÑģол":142750,"ĠабÑģолÑİÑĤ":142751,"ĠабÑģолÑİÑĤно":142752,"ฤà¸Ķู":142753,"étr":142754,"étranger":142755,"нÑıÑĤи":142756,"нÑıÑĤие":142757,"×¢×ķ׳":142758,"×¢×ķ׳ש":142759,"ĠÙĤائ":142760,"ĠÙĤائÙĦا":142761,"ĠмаÑģ":142762,"ĠмаÑģло":142763,"ãĥīãĤ¤":142764,"ãĥīãĤ¤ãĥĦ":142765,"å¿ħè¦ģãģĮãģĤãĤĬãģ¾ãģĻ":142766,"×ŀ×ķ×ĸ×Ļ×IJ":142767,"×ŀ×ķ×ĸ×Ļ×IJ×ķף":142768,"ĠNgoại":142769,"Ġkênh":142770,"à¸ģารà¸Ńà¸Ńà¸ģà¹ģà¸ļà¸ļ":142771,"×ŀפק":142772,"×ŀפק×ĵ":142773,"ÙħÙĨاز":142774,"ÙħÙĨازÙĦ":142775,"ë·°":142776,"íŤ":142777,"ÙħÙĩارات":142778,"Ġpropriété":142779,"פ×Ĵ×Ļש×Ķ":142780,"ÑĩÑĢ":142781,"ÑĩÑĢеж":142782,"ÑĩÑĢежден":142783,"×Ķ×ķצ×IJ×Ķ":142784,"ØŃÙĥÙĬÙħ":142785,"ĠíĻĪ":142786,"ĠíĻĪíİĺìĿ´ì§Ģ":142787,"åݳ":142788,"åݳãģĹãģĦ":142789,"×¢×ŀ×ĵ×Ķ":142790,"ĠAuÃŁen":142791,"سÙĪØ¡":142792,"ë¹Ī":142793,"ĠÙĪØ®":142794,"ĠÙĪخاصة":142795,"инÑĤеÑĢ":142796,"инÑĤеÑĢеÑģ":142797,"èĩ´ãģĹãģ¾ãģĻ":142798,"Ġhüküm":142799,"à¹Ħà¸Ĥมัà¸Ļ":142800,"Ġdavran":142801,"ĠdavranÄ±ÅŁ":142802,"à¹Ģà¸ķียà¸ĩ":142803,"вÑĢем":142804,"вÑĢеменно":142805,"à¹Ģà¸Ĺศà¸ģา":142806,"à¹Ģà¸Ĺศà¸ģาล":142807,"å¼ķãģ£":142808,"å¼ķãģ£è¶ĬãģĹ":142809,"×IJר×ķ×Ĺ":142810,"×IJר×ķ×Ĺת":142811,"à¹Ģวิ":142812,"à¹Ģวิรà¹Į":142813,"à¸Ńยà¹Īาà¸ĩรวà¸Ķà¹Ģรà¹ĩว":142814,"ĠìŬíĸī":142815,"ĠÑĢанÑĮ":142816,"ĠÑĢанÑĮÑĪе":142817,"Ġzobow":142818,"ĠzobowiÄħ":142819,"ĠzobowiÄħz":142820,"Ġ×ķ׼×ŀ×ķ×ijף":142821,"ĠاÙĦÙħÙĩ":142822,"ĠاÙĦÙħÙĩÙĨÙĬ":142823,"ãĤ¢ãĤ¸":142824,"ãĤ¢ãĤ¸ãĤ¢":142825,"ë°©ìĨ¡":142826,"à¸Ńà¸Ńà¸ģà¸ģำลัà¸ĩ":142827,"à¸Ńà¸Ńà¸ģà¸ģำลัà¸ĩà¸ģาย":142828,"améli":142829,"améliorer":142830,"å½ĵãģŁãĤĬåīį":142831,"Ġregelm":142832,"ĠregelmÃ¤ÃŁig":142833,"ãģĬåĭ":142834,"ãģĬåĭ§":142835,"ãģĬåĭ§ãĤģ":142836,"ĠmÆ°á»Ŀi":142837,"برÙħج":142838,"ĠNatürlich":142839,"ĠDÅ©ng":142840,"ĠاÙĦرجاÙĦ":142841,"Ġthép":142842,"ĠolmuÅŁtur":142843,"×ŀ×ķס×Ļק×Ķ":142844,"fälle":142845,"주íĥĿ":142846,"ĠاÙĦÙģرص":142847,"ĠnajwiÄĻks":142848,"ĠnajwiÄĻkszy":142849,"ĠçaÄŁ":142850,"ĠçaÄŁrı":142851,"ì¸ł":142852,"ĠvÃŃct":142853,"ĠvÃŃctima":142854,"ĠÑģовеÑĢÑĪен":142855,"×Ķ×Ļ×Ļת×Ļ":142856,"à¹Ģà¸Ķี":142857,"à¹Ģà¸Ķีà¹ĭ":142858,"à¹Ģà¸Ķีà¹ĭยว":142859,"üyü":142860,"Ġдоп":142861,"Ġдополн":142862,"ĠдополниÑĤелÑĮно":142863,"à¹ģà¸ķà¸ģà¸ķà¹Īาà¸ĩà¸ģัà¸Ļ":142864,"Ġál":142865,"Ġálbum":142866,"à¸Ľà¸£à¸°à¸Īà¸³à¸Ľà¸µ":142867,"ĠÑĦедеÑĢ":142868,"ĠÑĦедеÑĢалÑĮн":142869,"ĠobsÅĤ":142870,"ĠobsÅĤugi":142871,"à¹Ģรืà¹Ī":142872,"à¹Ģรืà¹Īà¸Ńย":142873,"à¹Ģรืà¹Īà¸Ńยà¹Ĩ":142874,"ëģĮ":142875,"Ġnghìn":142876,"ĠBaÅŁkanlıģı":142877,"تأسÙĬ":142878,"تأسÙĬس":142879,"Ġ×ij×ij×ķקר":142880,"Ġ×¢×ij×ķ×ĵ×ķת":142881,"ĠبصÙĪرة":142882,"ãĤıãģijãģ§ãģ¯ãģªãģĦ":142883,"führer":142884,"ãĤ¹ãĤŃ":142885,"ãĤ¹ãĤŃãĥ«":142886,"ĠاÙĦÙĤض":142887,"ĠاÙĦÙĤضÙĬØ©":142888,"ĠдолжноÑģÑĤ":142889,"ÙģارÙĤ":142890,"Ġcomeçou":142891,"Ġorganisé":142892,"Ġxuân":142893,"ĠÑģообÑīаеÑĤ":142894,"ĠпÑĢид":142895,"ĠпÑĢидеÑĤÑģÑı":142896,"TÃľRK":142897,"ãĥ¬ãĥ¼ãĤ·ãĥ§ãĥ³":142898,"Không":142899,"استÙģ":142900,"استÙģادة":142901,"ä¸ĬãģĮãģ£ãģ¦":142902,"Ġumie":142903,"ĠumiejÄĻ":142904,"ĠumiejÄĻtn":142905,"ĠumiejÄĻtnoÅĽci":142906,"ëĤ¸":142907,"à¹Ģà¸Ļà¸Ńรà¹Į":142908,"×ĵ×ķ×ķ×Ĺ":142909,"ÃŃsimo":142910,"IÃĬ":142911,"IÃĬN":142912,"Ġalcanç":142913,"Ġà¸ķุ":142914,"Ġà¸ķุลา":142915,"Ġà¸ķุลาà¸Ħม":142916,"ש׾×ĺ×ķף":142917,"Ġélè":142918,"Ġélèves":142919,"ĠÄiju":142920,"ĠÄijuá»ķi":142921,"ĠØ£Ùģ":142922,"ĠØ£ÙģرÙĬ":142923,"ĠØ£ÙģرÙĬÙĤÙĬ":142924,"ĠØ£ÙģرÙĬÙĤÙĬا":142925,"ãĤĴæİ¢ãģĻ":142926,"ĠпÑĢедложениÑı":142927,"جاد":142928,"ĠÑħоÑĤÑĮ":142929,"Ñģал":142930,"Ñģалон":142931,"à¸Ľà¸£à¸°à¹Ģม":142932,"à¸Ľà¸£à¸°à¹Ģมิà¸Ļ":142933,"ãĤŃãĥĥãĥģ":142934,"ãĤŃãĥĥãĥģãĥ³":142935,"×ij×ĵ×Ļק×ķת":142936,"Ġchù":142937,"Ġchùa":142938,"ÐĴиде":142939,"ÐĴидео":142940,"иÑĢовка":142941,"ĠÑħоÑĤиÑĤе":142942,"Ġspécifique":142943,"รสà¸Ĭาà¸ķิ":142944,"è¾¼ãĤĵãģł":142945,"伸ãģ³":142946,"×Ķצ׾×Ĺת":142947,"ãģ©ãģ®ãĤĪãģĨãģ«":142948,"سعادة":142949,"Ġлид":142950,"ĠлидеÑĢ":142951,"มà¸ĩ":142952,"มà¸ĩà¸Ħล":142953,"ØŃاÙħÙĦ":142954,"หลุà¸Ķ":142955,"à¸Ńยà¹Īาà¸ĩà¸ķà¹Īà¸Ń":142956,"à¸Ńยà¹Īาà¸ĩà¸ķà¹Īà¸Ńà¹Ģà¸Ļืà¹Īà¸Ńà¸ĩ":142957,"ãģķãģĽãģ¦éłĤ":142958,"تسÙĪÙĬ":142959,"تسÙĪÙĬÙĤ":142960,"ĠaÅŁaģıd":142961,"ĠaÅŁaģıdaki":142962,"ĠÑĨелÑĮ":142963,"ĠÑĨелÑĮÑİ":142964,"ĠAraÅŁtırma":142965,"à¸Ĥัà¸ļรà¸ĸ":142966,"ÙĩØ°Ùĩ":142967,"ลà¸ĩà¸Ĺะ":142968,"ลà¸ĩà¸Ĺะà¹Ģà¸ļ":142969,"ลà¸ĩà¸Ĺะà¹Ģà¸ļียà¸Ļ":142970,"تÙĥاÙħÙĦ":142971,"Ġcio":142972,"Ġcioè":142973,"ãģ¦ãģĬãģı":142974,"ĠاÙĦصØŃÙģÙĬ":142975,"ĠíĬ¹ìłķ":142976,"полниÑĤÑĮ":142977,"ãĤĵãģĺãĤĥãģªãģĦ":142978,"ãĤĵãģĺãĤĥãģªãģĦãģĭ":142979,"ĠاÙĦجÙĩ":142980,"ĠاÙĦجÙĩات":142981,"ĠÑĥÑģпеÑĪно":142982,"Ġвок":142983,"ĠвокÑĢÑĥг":142984,"ĠÑģиÑĤÑĥаÑĨиÑı":142985,"Ġ×Ķ×IJ×ŀר":142986,"Ġ×Ķ×IJ×ŀר×Ļק":142987,"Ġ×Ķ×IJ×ŀר×Ļק×IJ×Ļ":142988,"×ŀ×Ĵ×ĸ":142989,"×ŀ×Ĵ×ĸ×Ļף":142990,"ĠакÑĤÑĥ":142991,"ĠакÑĤÑĥалÑĮн":142992,"éta":142993,"étais":142994,"ĠmogÅĤa":142995,"ĠÑĤоÑĩки":142996,"Ġ×ŀ×Ķ×ŀ×¢":142997,"Ġ×ŀ×Ķ×ŀ×¢×¨×Ľ×ª":142998,"à¸¡à¸µà¸Ľà¸£à¸°à¸ªà¸´à¸Ĺà¸ĺà¸´à¸łà¸²à¸ŀ":142999,"×Ļר×Ļ×ĵ×Ķ":143000,"×Ĵר×ŀ׳":143001,"×Ĵר×ŀ׳×Ļ×Ķ":143002,"Ġглав":143003,"Ġглавное":143004,"Ġ미ëŀĺ":143005,"Ġ׳׼×ķ׳×Ķ":143006,"ĠÙĪØ·ÙĨÙĬ":143007,"opport":143008,"opportunitÃł":143009,"Ġhủy":143010,"ĠÙĦتØŃ":143011,"ĠÙĦتØŃÙĤÙĬÙĤ":143012,"Ġórg":143013,"Ġórgão":143014,"ãĤ¹ãĥĶ":143015,"ãĤ¹ãĥĶãĥ¼ãĥī":143016,"Ġönü":143017,"Ġönüne":143018,"ÙħعاÙħÙĦ":143019,"ש×ŀ×Ļר×Ķ":143020,"ĠвеÑģÑĮма":143021,"ĠwiÄĻkszo":143022,"ĠwiÄĻkszoÅĽÄĩ":143023,"ĠاستراتÙĬج":143024,"ĠاستراتÙĬجÙĬØ©":143025,"ĠÙģØ¥":143026,"ĠÙģإذا":143027,"à¹Ģà¸Ĭืà¹Īà¸Ńม":143028,"à¹Ģà¸Ĭืà¹Īà¸Ńมà¸ķà¹Īà¸Ń":143029,"Ġ׾פר":143030,"Ġ׾פר×ĺ×Ļ×Ŀ":143031,"ÙħضÙĬ":143032,"ĠGerçek":143033,"Ġçocukların":143034,"ÙĪثائÙĤ":143035,"ĠÙħساءÙĭ":143036,"Ġunterstützt":143037,"Ġprést":143038,"Ġpréstamo":143039,"ĠÐłÐ°Ð·Ð¼ÐµÑĢ":143040,"ĠÅŁeker":143041,"Ġséculo":143042,"×ij×Ķ×Ļר":143043,"Ø´ÙĩÙĪر":143044,"Ġà¸Ńีà¸ģ":143045,"Ġà¸Ńีà¸ģà¸Ĺัà¹īà¸ĩ":143046,"Ġllegó":143047,"à¸¨à¸´à¸¥à¸Ľà¸°":143048,"æĪijãģĮ":143049,"æĪijãģĮ家":143050,"عÙĤÙĪ":143051,"عÙĤÙĪبات":143052,"ĠFälle":143053,"ĠsÅĤuż":143054,"ĠsÅĤużb":143055,"ĠاÙĦØŃÙĤÙĪÙĤ":143056,"ĠплиÑĤ":143057,"ĠиноÑģÑĤ":143058,"ĠиноÑģÑĤÑĢан":143059,"ĠиноÑģÑĤÑĢанн":143060,"à¹ĥà¸Ļà¸Ĥà¸ĵะà¸Ĺีà¹Ī":143061,"ãĤ«ãĥĨ":143062,"ãĤ«ãĥĨãĤ´":143063,"ãĤ«ãĥĨãĤ´ãĥª":143064,"à¸Ńิส":143065,"à¸Ńิสระ":143066,"à¹Ģà¸ľà¸¢à¹ģ":143067,"à¹Ģà¸ľà¸¢à¹ģà¸ŀร":143068,"à¹Ģà¸ľà¸¢à¹ģà¸ŀรà¹Ī":143069,"ãģĬãģĦ":143070,"ãģĬãģĦãģĹãģĦ":143071,"استÙĤÙĦ":143072,"استÙĤÙĦاÙĦ":143073,"تØŃض":143074,"تØŃضÙĬر":143075,"åĬ©ãģij":143076,"ÙħراÙģÙĤ":143077,"Ġ×ĵ×ķר":143078,"Ġ×ĵ×ķרש":143079,"×ŀת×Ļ×Ļ×Ĺס":143080,"ס×Ļ׼":143081,"ס×Ļ׼×ķ×Ŀ":143082,"íĮĮíĬ¸":143083,"ĠwyÅĽ":143084,"ĠwyÅĽw":143085,"ĠwyÅĽwiet":143086,"ĠwyÅĽwietl":143087,"ĠاÙĦاÙĨساÙĨ":143088,"ĠStraÃŁen":143089,"Ｌ":143090,"ãģ«åŁº":143091,"ãģ«åŁºãģ¥":143092,"ĠcapÃŃtulo":143093,"ลุย":143094,"Ġ×Ķ×ŀקצ×ķ×¢×Ļ":143095,"ãģĤãĤĭç¨ĭ度":143096,"Ợ":143097,"ĠاÙĦÙĦا":143098,"ĠاÙĦÙĦازÙħØ©":143099,"æķĻãģĪ":143100,"Ġרש×IJ×Ļ":143101,"зав":143102,"завиÑģ":143103,"завиÑģим":143104,"à¸Ľà¸±à¸Īà¸Īัย":143105,"à¹Ģà¸ĭล":143106,"à¹Ģà¸ĭลลà¹Į":143107,"Ġdifférence":143108,"ĠAltın":143109,"ĠкÑĢай":143110,"ĠкÑĢайне":143111,"Ġзло":143112,"Ġgünümüz":143113,"ĠнаÑĤÑĥÑĢ":143114,"ĠнаÑĤÑĥÑĢалÑĮн":143115,"×Ĵ×ķ׾ש×Ļ×Ŀ":143116,"ĠкаÑĤегоÑĢ":143117,"ĠкаÑĤегоÑĢии":143118,"Ġзнак":143119,"à¸ģà¹Īà¸Ńà¸Ļหà¸Ļà¹īา":143120,"à¸ģà¹Īà¸Ńà¸Ļหà¸Ļà¹īาà¸Ļีà¹ī":143121,"ĠÙħÙĨت":143122,"ĠÙħÙĨتخب":143123,"ãĥĽãĥ¼ãĥ«":143124,"ĠевÑĢо":143125,"สว":143126,"สวม":143127,"ĠìľĦìĽIJ":143128,"ĠìľĦìĽIJëĭĺ":143129,"ĠاÙĦØŃÙĪØ«":143130,"ĠاÙĦØŃÙĪØ«ÙĬ":143131,"ĠÑģодеÑĢжиÑĤ":143132,"ãĥķãĤ¡ãĥĥãĤ·ãĥ§ãĥ³":143133,"Ġà¸ģัà¸Ļ":143134,"Ġà¸ģัà¸Ļย":143135,"Ġà¸ģัà¸Ļยายà¸Ļ":143136,"ãĤªãĥª":143137,"ãĤªãĥªãĤ¸":143138,"ãĤªãĥªãĤ¸ãĥĬãĥ«":143139,"ĠбÑĢенд":143140,"ãĤĴæĮģãģ£ãģ¦ãģĦãĤĭ":143141,"Ġinversión":143142,"Ġê°ĸ":143143,"Ġê°ĸê³ł":143144,"ĠnovitÃł":143145,"ê´Ģê´ij":143146,"Ġà¸ŀฤษ":143147,"Ġà¸ŀà¸¤à¸©à¸łà¸²":143148,"Ġà¸ŀà¸¤à¸©à¸łà¸²à¸Ħม":143149,"×ķר×Ĺ×Ļ×Ŀ":143150,"׼׾×ķ׾":143151,"Ġngạc":143152,"×Ļ×Ļש":143153,"×Ļ×Ļש×ķ×ij":143154,"fäll":143155,"fällig":143156,"ĠÑĤÑĢебÑĥеÑĤÑģÑı":143157,"Ġcará":143158,"Ġcarácter":143159,"ĠprincÃŃpio":143160,"ĠÅĤaz":143161,"ĠÅĤazien":143162,"ĠÅĤazienk":143163,"Ġgiãn":143164,"ÑģÑĤÑĢаива":143165,"Ùħساب":143166,"ÙħسابÙĤØ©":143167,"à¹Ģà¸Ħรืà¹Īà¸Ńà¸ĩà¸Ķืà¹Īม":143168,"ترÙĥÙĬب":143169,"volução":143170,"ĠÐŁÐ¾Ñĩ":143171,"ĠÐŁÐ¾Ñĩем":143172,"ĠÐŁÐ¾ÑĩемÑĥ":143173,"казалоÑģÑĮ":143174,"ĠпÑĢименениÑı":143175,"à¹Ģà¸Ĺียม":143176,"íĮĶ":143177,"à¸Ĥà¹īà¸Ńà¹Ģสà¸Ļà¸Ń":143178,"à¸Ľà¸±à¸įà¸įา":143179,"ĠобÑĥÑĩ":143180,"ĠобÑĥÑĩениÑı":143181,"ĠÑģеÑĢи":143182,"ĠÑģеÑĢиал":143183,"Ġinglés":143184,"ĠÙĦÙĥرة":143185,"Ġ×ĺ׾":143186,"Ġ×ĺ׾פ×ķף":143187,"Ġìłij":143188,"Ġìłijê·¼":143189,"×IJ×ķ×Ĵ":143190,"×IJ×ķ×Ĵ×ķס":143191,"×IJ×ķ×Ĵ×ķס×ĺ":143192,"ĠболÑĮÑĪое":143193,"ĠÐļонеÑĩно":143194,"×¢×Ļת×ķ׳":143195,"×¢×Ļת×ķ׳×IJ×Ļ":143196,"Ġкнопк":143197,"Ġзн":143198,"ĠзнаÑĤÑĮ":143199,"ĠÄijá»±":143200,"ĠÄijá»±ng":143201,"влаж":143202,"влажн":143203,"×ŀ×Ļ×ĺ×ij":143204,"ãĤ¬ãĤ¤":143205,"ãĤ¬ãĤ¤ãĥī":143206,"..........":143207,"Ġà¸ģุม":143208,"Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀ":143209,"Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀัà¸Ļ":143210,"Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀัà¸Ļà¸ĺ":143211,"Ġà¸ģà¸¸à¸¡à¸łà¸²à¸ŀัà¸Ļà¸ĺà¹Į":143212,"bez":143213,"bezpieczeÅĦst":143214,"bezpieczeÅĦstw":143215,"ãĥijãĥijæ´»":143216,"عاط":143217,"عاطÙģ":143218,"ĠÄijáºŃm":143219,"ĠзÑĢ":143220,"ĠзÑĢениÑı":143221,"Ġborç":143222,"Ġнедел":143223,"ĠнеделÑİ":143224,"Ġhá»ı":143225,"Ġhá»ıng":143226,"ìŀ¥ìķł":143227,"ìŀ¥ìķłìĿ¸":143228,"ĠاÙĦعÙĦاÙĤØ©":143229,"Ġíģ¬":143230,"Ġíģ¬ê²Į":143231,"à¹Ħรà¹Ī":143232,"à¸ļาà¸Ķ":143233,"à¸ļาà¸Ķà¹Ģà¸Īà¹ĩà¸ļ":143234,"à¸Ŀรั":143235,"à¸Ŀรัà¹Īà¸ĩ":143236,"à¸Ŀรัà¹Īà¸ĩà¹Ģศ":143237,"à¸Ŀรัà¹Īà¸ĩà¹Ģศส":143238,"רע×Ļ":143239,"רע×Ļ×ķ׳×ķת":143240,"ĠëĮ":143241,"ĠëĮĵ":143242,"ĠëĮĵê¸Ģ":143243,"Ġnajb":143244,"Ġnajbli":143245,"Ġnajbliż":143246,"Ġnajbliższ":143247,"ĠиÑģполÑĮзÑĥеÑĤÑģÑı":143248,"ĠcientÃŃf":143249,"ĠcientÃŃfico":143250,"×¢×ŀק":143251,"Ġgợi":143252,"Ø´ØŃÙĨ":143253,"ĠÅĽm":143254,"ĠÅĽmier":143255,"ĠÅĽmierci":143256,"à¸Ħาสิà¹Ĥà¸Ļà¸Ńà¸Ńà¸Ļà¹Ħลà¸Ļà¹Į":143257,"×Ĺש×ijת×Ļ":143258,"Ġningu":143259,"Ġninguém":143260,"è¾¼ãĤģ":143261,"ãģ·":143262,"ĠÑĥг":143263,"ĠÑĥгол":143264,"ï½°":143265,"פת×Ļ×Ĺ":143266,"פת×Ļ×Ĺת":143267,"Ġ×Ķר×IJש×ķ׳×Ļ×Ŀ":143268,"pósito":143269,"ãĤŃãĥ¬ãĤ¤":143270,"ãģ©ãģĵãĤį":143271,"à¹Ģà¸Ĺà¹Īาà¹Ħ":143272,"à¹Ģà¸Ĺà¹Īาà¹Ħหร":143273,"à¹Ģà¸Ĺà¹Īาà¹Ħหรà¹Ī":143274,"ĠинÑĤеÑĢÑĮеÑĢ":143275,"ĠØŃاج":143276,"ĠØŃاجة":143277,"สีà¸Ĥาว":143278,"ìĸ¼":143279,"Ġná»Ļ":143280,"Ġná»Ļp":143281,"ĠÃŃnd":143282,"ĠÃŃndice":143283,"สำรวà¸Ī":143284,"Ġкаждой":143285,"Ġhotéis":143286,"ĠnastÄĻ":143287,"ĠnastÄĻpn":143288,"Ġ×Ķק×ķ×ĵ":143289,"Ġ×Ķק×ķ×ĵ×Ŀ":143290,"פ×ķפ":143291,"פ×ķפ×ķ׾":143292,"פ×ķפ×ķ׾ר×Ļ":143293,"вÑĪей":143294,"ãĤ·ãĥ³ãĥĹ":143295,"ãĤ·ãĥ³ãĥĹãĥ«":143296,"ĠzdjÄĻÄĩ":143297,"ĠгÑĢÑĥппа":143298,"ĠпомеÑī":143299,"ĠпомеÑīениÑı":143300,"ãģ©ãģĨãģĦãģĨ":143301,"ĠиÑģпÑĭÑĤа":143302,"ĠogÅĤ":143303,"ĠogÅĤos":143304,"ĠogÅĤoszen":143305,"ĠogÅĤoszeni":143306,"สรà¹īาà¸ĩสรร":143307,"สรà¹īาà¸ĩสรรà¸Ħà¹Į":143308,"à¸ŀรรà¸ĵ":143309,"ĠçıkÄ±ÅŁ":143310,"ĠÑĩаÑģÑĤноÑģÑĤи":143311,"Ġ×ķ×Ļ×ķתר":143312,"ç¶ļãģįãĤĴ":143313,"ç¶ļãģįãĤĴèªŃ":143314,"ç¶ļãģįãĤĴèªŃãĤĢ":143315,"à¸ģรั":143316,"à¸ģรัม":143317,"гÑĢаÑĦ":143318,"Ġвлад":143319,"ĠвладелÑĮ":143320,"ĠвладелÑĮÑĨ":143321,"ĠistediÄŁ":143322,"ĠistediÄŁiniz":143323,"×ij×ľ×¢":143324,"×ij×ľ×¢×ĵ×Ļ":143325,"ÙħÙĪاÙģ":143326,"ÙħÙĪاÙģÙĤØ©":143327,"Ġ×Ļ×ķר":143328,"Ġ×Ļ×ķרק":143329,"ãĤ«ãĥ¼ãĥīãĥŃãĥ¼ãĥ³":143330,"ĠاÙĦÙħØ´ÙĥÙĦ":143331,"ĠاÙĦÙħØ´ÙĥÙĦØ©":143332,"ĠêµŃíļĮ":143333,"ספ×ĺ":143334,"ספ×ĺ×ŀ":143335,"ספ×ĺ×ŀ×ijר":143336,"Ġìĸ´ëłµ":143337,"ÙĥاÙħ":143338,"ÙĥاÙħÙĬرا":143339,"schlü":143340,"schlüsse":143341,"ĠØ«ÙĨ":143342,"ĠØ«ÙĨائÙĬ":143343,"ìī½":143344,"ĠÐŀÑģоб":143345,"ĠÐŀÑģобенно":143346,"ĠинвеÑģÑĤи":143347,"ĠинвеÑģÑĤиÑĨи":143348,"اØŃتÙħ":143349,"اØŃتÙħاÙĦ":143350,"EÄŀ":143351,"EÄŀÄ°":143352,"íķĺê²łëĭ¤":143353,"Ġ×IJ×ijר×Ķ":143354,"Ġ×IJ×ijר×Ķ×Ŀ":143355,"Ġ×ij×Ĺ×Ļ׳×Ŀ":143356,"Ø£ÙĪض":143357,"Ø£ÙĪضاع":143358,"Ġdél":143359,"Ġdélai":143360,"Ġ×IJ×ķ×Ķ×ij×Ļ×Ŀ":143361,"ĠÑģоÑħ":143362,"ĠÑģоÑħÑĢ":143363,"ĠÑģоÑħÑĢани":143364,"ĠдоÑģÑĤиж":143365,"ĠдоÑģÑĤижени":143366,"สิà¹Īà¸ĩà¹ģ":143367,"สิà¹Īà¸ĩà¹ģวà¸Ķ":143368,"สิà¹Īà¸ĩà¹ģวà¸Ķล":143369,"สิà¹Īà¸ĩà¹ģวà¸Ķลà¹īà¸Ńม":143370,"ĠاÙĦÙħباشر":143371,"ĠÑĦиг":143372,"ĠÑĦигÑĥÑĢ":143373,"можем":143374,"׾×ŀ×Ļ×ĵ×Ķ":143375,"Ġciné":143376,"Ġcinéma":143377,"Ġbada":143378,"ĠbadaÅĦ":143379,"جبÙĩØ©":143380,"Ġдеп":143381,"ĠдепÑĥÑĤ":143382,"ĠдепÑĥÑĤаÑĤ":143383,"Ġdistância":143384,"ĠاÙĦÙħعار":143385,"ĠاÙĦÙħعارضة":143386,"thèse":143387,"ünc":143388,"üncü":143389,"Ġданного":143390,"ĠBelgi":143391,"ĠBelgië":143392,"Ġ×ij×ijק":143393,"Ġ×ij×ijקש×Ķ":143394,"ยà¹Īาà¸Ļ":143395,"Ġsolução":143396,"Ġ×Ķצ×ĺר":143397,"Ġ×Ķצ×ĺרפ×ķ":143398,"ĠØ£ÙĨØŃ":143399,"ĠØ£ÙĨØŃاء":143400,"ĠدÙħØ´":143401,"ĠدÙħØ´ÙĤ":143402,"มัà¹ī":143403,"มัà¹īย":143404,"Ùħغرب":143405,"استعÙħاÙĦ":143406,"ĠSÅĤow":143407,"ĠëıĻìĭľ":143408,"ĠëıĻìĭľìĹIJ":143409,"ĠÑģоÑģ":143410,"ĠÑģоÑģед":143411,"ì²ŃìĨĮ":143412,"ì²ŃìĨĮëħĦ":143413,"ĠгÑĢаÑĦ":143414,"ĠгÑĢаÑĦик":143415,"ĠìŀijìĿĢ":143416,"Ġyeti":143417,"ĠyetiÅŁtir":143418,"ĠìĿ´ê²ĥìĿ´":143419,"หà¹Īาà¸ĩ":143420,"Ø¥ÙħÙĥاÙĨ":143421,"Ø¥ÙħÙĥاÙĨÙĬØ©":143422,"استعراض":143423,"Ùħخدر":143424,"ĠÑĩÑĥÑĤÑĮ":143425,"ÙħدÙĬر":143426,"ÙħدÙĬرÙĬØ©":143427,"Ġà¹Ģมษ":143428,"Ġà¹Ģมษายà¸Ļ":143429,"ĠмеÑħ":143430,"ĠмеÑħаниз":143431,"ĠмеÑħанизм":143432,"ĠÑģÑĥм":143433,"ĠÑģÑĥммÑĥ":143434,"Ġvö":143435,"Ġvöll":143436,"Ġvöllig":143437,"ĠдÑĢÑĥз":143438,"ĠдÑĢÑĥзÑĮÑı":143439,"ãĤĴåĪ©çĶ¨ãģĹãģ¦":143440,"à¸ļรรà¸Īุ":143441,"pożycz":143442,"×ŀש׼":143443,"×ŀ×©×Ľ×ł×ª":143444,"×ŀ×©×Ľ×ł×ª×IJ":143445,"Ġeuropéen":143446,"Ġproprié":143447,"Ġpropriétaire":143448,"Ġkhấu":143449,"ãģĦãģŁãģłãģijãĤĭ":143450,"Ġtecrü":143451,"Ġtecrübe":143452,"×Ķ×ij":143453,"×Ķ×ij׳×Ķ":143454,"ĠcuÌ":143455,"ĠcuÌī":143456,"ĠcuÌīa":143457,"×IJ×ķ×ķ":143458,"×IJ×ķ×ķ×Ļר×Ķ":143459,"Ġ׼×ķ׾×ķ":143460,"Ulus":143461,"Uluslararası":143462,"Ġ׳×ķת":143463,"Ġ׳×ķ×ª×Ł":143464,"ãģ«åIJij":143465,"ãģ«åIJijãģijãģ¦":143466,"ë¹Ľ":143467,"à¸Ĺัà¸ģษ":143468,"à¸Ĺัà¸ģษะ":143469,"سÙĤÙĪ":143470,"سÙĤÙĪØ·":143471,"Ġвн":143472,"ĠвнеÑĪ":143473,"ĠвнеÑĪне":143474,"Ġurz":143475,"ĠurzÄĻd":143476,"Ġámb":143477,"Ġámbito":143478,"à¸Ńà¸ĺิ":143479,"à¸Ńà¸ĺิà¸ļาย":143480,"ĠÅĤad":143481,"ĠÅĤadn":143482,"ê±´ì¶ķ":143483,"wództ":143484,"wództw":143485,"Ġquestões":143486,"Ġשק":143487,"Ġשק×Ļ×ij׾":143488,"ĠmiejscowoÅĽci":143489,"Ġвал":143490,"ĠвалÑİÑĤ":143491,"häuser":143492,"หà¸Ļà¸Ńà¸ĩ":143493,"ãģ¨åħ±":143494,"ãģ¨åħ±ãģ«":143495,"ãĥıãĥ¼ãĥī":143496,"Ġê°ľìµľ":143497,"ĠоÑģновном":143498,"ĠмÑıÑģ":143499,"اعت":143500,"اعتÙĤاÙĦ":143501,"สà¸ĸิ":143502,"สà¸ĸิà¸ķิ":143503,"Ngu":143504,"Nguá»ĵn":143505,"ĠÙħجÙĦ":143506,"ĠÙħجÙĦØ©":143507,"à¹ģà¸Ĥà¸Ļ":143508,"ĠاÙĦÙĦÙĬبÙĬ":143509,"פע×Ļ׾×ķ×Ļ×ķת":143510,"Ġ×Ķרפ×ķ×IJ×Ļ":143511,"פר×ķפ":143512,"פר×ķפ×Ļ׾":143513,"ק׾×IJ":143514,"ק׾×IJס×Ļ":143515,"ÙĥتشÙģ":143516,"ãģ«ãģªãģ£ãģ¦ãģĹãģ¾ãģĨ":143517,"à¹Ģà¸Ħลà¹ĩà¸Ķ":143518,"à¹Ģà¸Ħลà¹ĩà¸Ķลัà¸ļ":143519,"Ġì»´":143520,"Ġì»´íĵ¨":143521,"Ġì»´íĵ¨íĦ°":143522,"Ġ×Ĺ×Ļ×ķ×ij×Ļ":143523,"Ġnäm":143524,"Ġnämlich":143525,"åij¼ãģ°":143526,"åij¼ãģ°ãĤĮ":143527,"ĠÑĢол":143528,"ĠÑĢоли":143529,"Ġspécialisé":143530,"à¸Ļวัà¸ķ":143531,"à¸Ļวัà¸ķà¸ģรรม":143532,"ÙĨصÙĪص":143533,"пеÑĢед":143534,"пеÑĢедаÑĩ":143535,"thèque":143536,"Ġר×IJ×Ļת×Ļ":143537,"ãĥĢãĤ¦ãĥ³":143538,"ãĤıãģĭ":143539,"ãĤıãģĭãģ£ãģ¦":143540,"беÑĢеж":143541,"ĠÑģек":143542,"ĠÑģекÑĢ":143543,"ĠÑģекÑĢеÑĤ":143544,"ĠпоÑģÑĤоÑıнн":143545,"à¸Ĥà¸Ļสà¹Īà¸ĩ":143546,"Ġmük":143547,"Ġmükem":143548,"Ġmükemmel":143549,"еÑĤеÑģÑĮ":143550,"ĠاÙĦسÙĨÙĪات":143551,"ĠìłĦíĺĢ":143552,"Ġ×Ķ×ŀק×ķר×Ļ":143553,"Ġmüd":143554,"Ġmüdah":143555,"Ġmüdahale":143556,"Ġwyb":143557,"Ġwybór":143558,"Ġtendência":143559,"إدار":143560,"إدارÙĬØ©":143561,"Ġunterstützen":143562,"ת×ijר":143563,"ת×ijרר":143564,"Ġdiá":143565,"Ġdiálogo":143566,"ĠÃĸnce":143567,"ĠÃĸnceki":143568,"ãĤ¹ãĥĿãĥĥãĥĪ":143569,"ëĦ£":143570,"ĠGeli":143571,"ĠGeliÅŁ":143572,"ãĤĴéĢļ":143573,"ãĤĴéĢļãģĹãģ¦":143574,"ĠFuÃŁball":143575,"Ġsalari":143576,"Ġsalarié":143577,"ĠпÑĢодÑĥкÑĤов":143578,"صÙģÙĤØ©":143579,"รวà¸ļ":143580,"รวà¸ļรวม":143581,"à¹ĥà¸Ļà¸IJาà¸Ļ":143582,"à¹ĥà¸Ļà¸IJาà¸Ļะ":143583,"Ġkayna":143584,"Ġkaynaģı":143585,"ĠìŀijíĴĪ":143586,"ĠвÑĭÑĢаж":143587,"ĠвÑĭÑĢажен":143588,"ĠÑģÑĤеп":143589,"ĠÑģÑĤепени":143590,"ĠاÙĦÙħÙĪجÙĪد":143591,"ĠاÙĦÙħÙĪجÙĪدة":143592,"ลà¹īม":143593,"ĠnajczÄĻ":143594,"ĠnajczÄĻÅĽcie":143595,"ĠnajczÄĻÅĽciej":143596,"Ġzwy":143597,"Ġzwyk":143598,"ĠzwykÅĤ":143599,"Ġê·¸ëłĩì§Ģ":143600,"à¸ģระà¸Ī":143601,"à¸ģระà¸Īาย":143602,"Ġëĭµ":143603,"Ġëĭµë³Ģ":143604,"ĠÑĢеак":143605,"ĠÑĢеакÑĨи":143606,"ĠÅĽwież":143607,"ĠÑģÑĤоимоÑģÑĤи":143608,"ÙħÙĨاÙĤ":143609,"ÙħÙĨاÙĤØ´":143610,"ÙħÙĨاÙĤشة":143611,"ĠÑħоÑĩÑĥ":143612,"ãĥľãĥ¼ãĥī":143613,"Ġróżnic":143614,"ĠкÑĢÑĭ":143615,"ĠкÑĢÑĭÑĪ":143616,"âľĵ":143617,"ãĤ³ãĥ³ãĥĨãĥ³":143618,"ãĤ³ãĥ³ãĥĨãĥ³ãĥĦ":143619,"ĠпÑĢедпоÑĩ":143620,"×ŀר×ij×Ļת":143621,"ĠØ´Ùĥ":143622,"ĠØ´Ùĥرا":143623,"Ġдал":143624,"Ġдалек":143625,"Ġдалеко":143626,"برÙĬØ·":143627,"برÙĬطاÙĨÙĬا":143628,"عÙĨا":143629,"عÙĨاÙĬØ©":143630,"ĠÑĢаÑģÑģказ":143631,"ĠÑĢаÑģÑģказÑĭва":143632,"Ø£ÙĦÙĪ":143633,"Ø£ÙĦÙĪاÙĨ":143634,"æĮģãģ£ãģ¦":143635,"æĮģãģ£ãģ¦ãģĦ":143636,"Ùħبادئ":143637,"×Ķ×¢×ijר":143638,"×Ķ×¢×ijרת":143639,"Ġyayı":143640,"Ġyayıml":143641,"Ġyayımla":143642,"mát":143643,"máticos":143644,"à¸ģัà¸ĩ":143645,"à¸ģัà¸ĩวล":143646,"Ġ×ľ×¤×ª":143647,"Ġ×ľ×¤×ª×ķ×Ĺ":143648,"à¸ŀฤà¸ķิ":143649,"à¸ŀฤà¸ķิà¸ģรรม":143650,"íĤ¬":143651,"ĠокÑĢÑĥг":143652,"Ġ×ŀצ×ķ×ķ×Ķ":143653,"ÐĽÐµÐ½Ð¸":143654,"ÐĽÐµÐ½Ð¸Ð½":143655,"ĠTriá»ģu":143656,"ãĤ³ãĥŁãĥ¥":143657,"ãĤ³ãĥŁãĥ¥ãĥĭ":143658,"ãĤ³ãĥŁãĥ¥ãĥĭãĤ±":143659,"ãĤ³ãĥŁãĥ¥ãĥĭãĤ±ãĥ¼ãĤ·ãĥ§ãĥ³":143660,"ÙĥÙĨÙĬ":143661,"ÙĥÙĨÙĬسة":143662,"ãĤĴä¸Ńå¿ĥ":143663,"ãĤĴä¸Ńå¿ĥãģ«":143664,"ĠmiÄĻdz":143665,"ĠmiÄĻdzyn":143666,"ĠmiÄĻdzynar":143667,"ĠmiÄĻdzynarod":143668,"ĠmiÄĻdzynarodow":143669,"ÙĦÙĨ":143670,"ÙĦÙĨدا":143671,"برش":143672,"برشÙĦÙĪÙĨ":143673,"برشÙĦÙĪÙĨØ©":143674,"à¸ģระà¸ķุ":143675,"à¸ģระà¸ķุà¹īà¸Ļ":143676,"Ġgı":143677,"Ġgıda":143678,"à¸Ľà¸£à¸°à¸Ĺัà¸ļ":143679,"à¸Ľà¸£à¸°à¸Ĺัà¸ļà¹ĥà¸Ī":143680,"Ġë¶Ī구":143681,"Ġë¶Ī구íķĺê³ł":143682,"ĠÙĨØ·":143683,"ĠÙĨطاÙĤ":143684,"ĠÐľÐ¾Ð¶ÐµÑĤ":143685,"Präs":143686,"Präsident":143687,"ĠÑģкоÑĢ":143688,"ĠÑģкоÑĢоÑģÑĤÑĮ":143689,"Ġ×Ķ×ij×ķקר":143690,"еÑħаÑĤÑĮ":143691,"Ġgạo":143692,"Ġש×IJ×Ļ׳×Ŀ":143693,"Ġ×ij׳×ķ×Ĵ":143694,"Ġ×ij׳×ķ×Ĵ×¢":143695,"ĠопиÑģание":143696,"Ġuczni":143697,"Ġuczniów":143698,"à¹Ģà¸Ńà¹ĩà¸Ļ":143699,"Ġتش":143700,"ĠتشرÙĬÙĨ":143701,"Ġnhãn":143702,"빨":143703,"Ġcaractère":143704,"×¢×ľ×Ļ":143705,"×¢×ľ×Ļ×Ļ×Ķ":143706,"楽ãģĹãĤģãĤĭ":143707,"ĠÑģаÑħ":143708,"ĠÑģаÑħаÑĢ":143709,"дÑĥмаÑĤÑĮ":143710,"ĠÐĴозможно":143711,"صÙĬاÙĨ":143712,"صÙĬاÙĨØ©":143713,"ömür":143714,"สล":143715,"สลà¹ĩ":143716,"สลà¹ĩà¸Ń":143717,"สลà¹ĩà¸Ńà¸ķ":143718,"롯":143719,"Ġthói":143720,"grÃ¶ÃŁe":143721,"ĠksiÄĻ":143722,"ĠksiÄĻg":143723,"ĠÑĢом":143724,"ĠÑĢоман":143725,"ÙĤاسÙħ":143726,"×ŀ×ij×ķ×Ĵ":143727,"×ŀ×ij×ķ×Ĵר×Ļ×Ŀ":143728,"besch":143729,"beschäft":143730,"beschäftig":143731,"×Ķצע×Ķ":143732,"ĠÃģrea":143733,"ĠзаÑıвк":143734,"Ĺ":143735,"ĠлÑİбого":143736,"Ġม":143737,"Ġมà¸ģร":143738,"Ġมà¸ģราà¸Ħม":143739,"ÑĦиз":143740,"ÑĦизиÑĩеÑģк":143741,"инÑĦ":143742,"инÑĦек":143743,"инÑĦекÑĨи":143744,"اÙĦØ·":143745,"اÙĦطائÙģ":143746,"Ġколл":143747,"ĠколлекÑĤив":143748,"езжа":143749,"ĠسبØŃ":143750,"ĠسبØŃاÙĨ":143751,"ĠسبØŃاÙĨÙĩ":143752,"schlä":143753,"schläge":143754,"Ġди":143755,"Ġдиаг":143756,"ĠдиагноÑģÑĤ":143757,"ĠоÑĤмеÑĤиÑĤÑĮ":143758,"ТЬ":143759,"ĠاÙĦدر":143760,"ĠاÙĦدراسÙĬ":143761,"עצ×ŀ":143762,"עצ×ŀ×IJ×ķת":143763,"Ġdémarch":143764,"Ġdémarche":143765,"Ġ×ĺ×ķ×¢":143766,"Ġ×ĺ×ķ×¢×Ł":143767,"Ġfuncionários":143768,"ỵ":143769,"׾׼×IJ":143770,"׾׼×IJ×ķר×Ķ":143771,"à¸ĭà¹Ī":143772,"à¸ĭà¹Īà¸Ńม":143773,"ĠÑĩÑĥв":143774,"ĠÑĩÑĥвÑģÑĤво":143775,"âĸ¼":143776,"пÑĥÑī":143777,"пÑĥÑīен":143778,"ĠмеÑĢ":143779,"ĠмеÑĢоп":143780,"ĠмеÑĢопÑĢи":143781,"ĠмеÑĢопÑĢиÑıÑĤиÑı":143782,"Ġuçu":143783,"ĠuçuÅŁ":143784,"ãĤĴåĪ©çĶ¨ãģĻãĤĭ":143785,"aÄŁ":143786,"aÄŁlı":143787,"ìĺĪìĪł":143788,"à¹ģยà¹Ī":143789,"ĠاÙĦÙĥÙħ":143790,"ĠاÙĦÙĥÙħبÙĬ":143791,"ĠاÙĦÙĥÙħبÙĬÙĪتر":143792,"تÙĪÙĬ":143793,"تÙĪÙĬتر":143794,"à¹Ģà¸Ĭีà¹Īยว":143795,"à¹Ģà¸Ĭีà¹Īยวà¸Ĭา":143796,"à¹Ģà¸Ĭีà¹Īยวà¸Ĭาà¸į":143797,"á»Ķ":143798,"Ġhiếm":143799,"ذاÙĥرة":143800,"Ġ×Ķ×ŀ×Ļ×ķ×Ĺ×ĵ":143801,"ĠìĪľ":143802,"ĠìĪľê°Ħ":143803,"ĠKı":143804,"ĠKısa":143805,"ĠgeleceÄŁi":143806,"пÑĢоÑĦеÑģÑģиона":143807,"пÑĢоÑĦеÑģÑģионал":143808,"Ġogó":143809,"Ġogóle":143810,"ĠgÅĤów":143811,"ĠgÅĤówne":143812,"ĠÑģÑĤилÑĮ":143813,"×IJפ׾":143814,"×IJפ׾×Ļק":143815,"×IJפ׾×Ļקצ×Ļ×Ķ":143816,"สมารà¹Į":143817,"สมารà¹Įà¸Ĺ":143818,"สมารà¹Įà¸Ĺà¹Ĥà¸Ł":143819,"สมารà¹Įà¸Ĺà¹Ĥà¸Łà¸Ļ":143820,"Ġthánh":143821,"ÐŁÐ¾Ð´":143822,"ÐŁÐ¾Ð´ÑĢоб":143823,"ÐŁÐ¾Ð´ÑĢобнее":143824,"ĠاÙĦتÙĪÙĨ":143825,"ĠاÙĦتÙĪÙĨسÙĬ":143826,"Ġbahçe":143827,"à¹ģà¸ģà¹īà¸Ľà¸±à¸įหา":143828,"éducation":143829,"europ":143830,"europä":143831,"europäische":143832,"ĠKsi":143833,"ĠKsiÄĻ":143834,"ĠëĦĺ":143835,"ĠëĦĺìĸ´":143836,"Ġvüc":143837,"Ġvücud":143838,"Ġyayg":143839,"Ġyaygın":143840,"Ġniekt":143841,"Ġniektóry":143842,"Ġniektórych":143843,"ãģŃãģĩ":143844,"Ġкаж":143845,"ĠкажеÑĤÑģÑı":143846,"каж":143847,"кажеÑĤ":143848,"ĠاÙĦدÙĬÙħÙĤرا":143849,"ĠاÙĦدÙĬÙħÙĤراط":143850,"ĠاÙĦدÙĬÙħÙĤراطÙĬØ©":143851,"æŃ©":143852,"æŃ©ãģĦãģ¦":143853,"Ġvaz":143854,"Ġvazge":143855,"Ġvazgeç":143856,"ĠминималÑĮ":143857,"ĠминималÑĮн":143858,"ãĥijãĤ¿":143859,"ãĥijãĤ¿ãĥ¼ãĥ³":143860,"ĠëĬ":143861,"ĠëĬIJ":143862,"ĠëĬIJëĤĮ":143863,"ãģ¡ãĤĩãģĨ":143864,"ãģ¡ãĤĩãģĨãģ©":143865,"Ġà¸ģร":143866,"Ġà¸ģรà¸ģà¸İ":143867,"Ġà¸ģรà¸ģà¸İาà¸Ħม":143868,"تجدÙĬد":143869,"ĠشاÙħÙĦ":143870,"หลัà¸ģà¸IJาà¸Ļ":143871,"ĠмаÑĢÑĪ":143872,"ĠмаÑĢÑĪÑĢÑĥÑĤ":143873,"ĠvÃŃt":143874,"ĠvÃŃtima":143875,"Ġquizá":143876,"aygı":143877,"×ĵ×ijר×Ļ×ķ":143878,"Ġизд":143879,"Ġиздели":143880,"ĠизделиÑı":143881,"пла":143882,"плаÑĩ":143883,"плаÑĩива":143884,"ä»»ãģĽ":143885,"Ġéquipé":143886,"ä¹ħãģĹãģ":143887,"ä¹ħãģĹãģ¶":143888,"ä¹ħãģĹãģ¶ãĤĬ":143889,"ĠкаÑĤ":143890,"ĠкаÑĤал":143891,"ĠкаÑĤалог":143892,"สà¹īม":143893,"ĠÑĢей":143894,"ĠÑĢейÑĤ":143895,"ĠÑĢейÑĤинг":143896,"Ġthuyá»ģn":143897,"ĠاÙĦÙħÙĤدس":143898,"espère":143899,"ãģ«åħ¥ãģ£ãģŁ":143900,"หมายà¹Ģลà¸Ĥ":143901,"ת×Ĺ×ķשת":143902,"à¸Ļà¹Īะ":143903,"ĠpeÅĤ":143904,"ĠpeÅĤne":143905,"Ġpérd":143906,"Ġpérdida":143907,"หมวà¸Ķ":143908,"หมวà¸Ķหมูà¹Ī":143909,"иÑĩеÑģкÑĥÑİ":143910,"çµĤãĤı":143911,"çµĤãĤıãģ£ãģŁ":143912,"Ġ×Ĵ×ķ×Ĵ׾":143913,"à¸Ĺำà¸Ħวาม":143914,"à¸Ĺำà¸Ħวามสะà¸Ńาà¸Ķ":143915,"Hotéis":143916,"ĠзаÑĢ":143917,"ĠзаÑĢегиÑģÑĤ":143918,"ĠзаÑĢегиÑģÑĤÑĢи":143919,"ĠзаÑĢегиÑģÑĤÑĢиÑĢова":143920,"ĠÑģобÑĭÑĤи":143921,"ĠÑģобÑĭÑĤиÑı":143922,"Ġ×ĸ׼×IJ":143923,"ÙħÙĨظÙĪÙħØ©":143924,"Ġ×Ķ×ŀצ":143925,"Ġ×Ķ×ŀצ×Ļ×IJ×ķת":143926,"ÙħÙĥÙĪÙĨ":143927,"ÙħÙĥÙĪÙĨات":143928,"ä¸ĬãģĮãĤĭ":143929,"ĠmÄĻ":143930,"ĠmÄĻsk":143931,"หรืà¸Ńà¹Ģà¸Ľà¸¥à¹Īา":143932,"ëĤ®":143933,"Ġnoktas":143934,"Ġnoktası":143935,"ĠболÑĮÑĪим":143936,"ĠлÑĥÑĩÑĪиÑħ":143937,"Ø´ÙĩÙĬد":143938,"à¸Ńำà¸Ļ":143939,"à¸Ńำà¸Ļวย":143940,"à¸Ńำà¸Ļวยà¸Ħวาม":143941,"à¸Ńำà¸Ļวยà¸Ħวามสะà¸Ķวà¸ģ":143942,"Ġев":143943,"ĠевÑĢ":143944,"ĠевÑĢоп":143945,"ĠевÑĢопей":143946,"à¸īาย":143947,"ìĦŃ":143948,"ÙħÙģا":143949,"ÙħÙģاÙĪض":143950,"ÙħÙģاÙĪضات":143951,"ë¹Į":143952,"赤ãģ¡ãĤĥãĤĵ":143953,"ĠÑĥдалоÑģÑĮ":143954,"ĠХоÑĤ":143955,"ĠХоÑĤÑı":143956,"przedsiÄĻbiorc":143957,"ĠHôm":143958,"íķĺìĺĢìĬµëĭĪëĭ¤":143959,"Ġнаг":143960,"ĠнагÑĢÑĥз":143961,"ĠнагÑĢÑĥзк":143962,"Ġ×ij×Ļ׳׾×IJ×ķ×ŀ×Ļ":143963,"Ġê°ĢëĬ¥íķľ":143964,"ĠHữu":143965,"à¸Ńุà¸Ķ":143966,"à¸Ńุà¸Ķม":143967,"ת×ķפ":143968,"ת×ķפע×Ķ":143969,"ĠmiÅĤo":143970,"ĠmiÅĤoÅĽci":143971,"ksiÄħż":143972,"ksiÄħżka":143973,"ĠاÙĦÙĦعبة":143974,"à¸īาà¸ģ":143975,"สะสม":143976,"×ŀתר":143977,"×ŀתר×Ĺש":143978,"Ġlégère":143979,"Ġ׾צפ":143980,"Ġ׾צפ×Ļ×Ķ":143981,"ĠиÑģÑĤоÑĢиÑı":143982,"ĠãĥĪãĥ©":143983,"ĠãĥĪãĥ©ãĥĥãĤ¯":143984,"ĠãĥĪãĥ©ãĥĥãĤ¯ãĥIJãĥĥãĤ¯":143985,"Ġка":143986,"ĠкаÑĦе":143987,"×ŀס×ŀ×ļ":143988,"Ġcüm":143989,"Ġcümle":143990,"à¹Ģà¸Ħลืà¹Īà¸Ńà¸Ļà¹Ħหว":143991,"ãģĬãģĿ":143992,"ãģĬãģĿãĤīãģı":143993,"ìŀIJëıĻ":143994,"ìŀIJëıĻì°¨":143995,"à¸Ńัà¸ķ":143996,"à¸Ńัà¸ķà¹Ĥà¸Ļ":143997,"à¸Ńัà¸ķà¹Ĥà¸Ļมั":143998,"à¸Ńัà¸ķà¹Ĥà¸Ļมัà¸ķิ":143999,"ĠÅŁik":144000,"ĠÅŁikay":144001,"ĠÅŁikayet":144002,"extrême":144003,"krä":144004,"kräfte":144005,"ëĤĻ":144006,"íķij":144007,"ì²Ļ":144008,"íĺĪ":144009,"ì°į":144010,"âĻ¡":144011,"ìŀĶ":144012,"뢰":144013,"íĿĶ":144014,"íĿIJ":144015,"âĩĴ":144016,"맼":144017,"ìĬĪ":144018,"á»Ĵ":144019,"ìĺµ":144020,"âĹİ":144021,"íĤ¨":144022,"ê¿Ī":144023,"ìĪ¨":144024,"ìĽ¨":144025,"맥":144026,"ï½Ģ":144027,"Ｊ":144028,"Ẩ":144029,"ãħİ":144030,"ÑĹ":144031,"ìĦ¬":144032,"ì¹¼":144033,"Ｖ":144034,"ìĽł":144035,"룴":144036,"Åĥ":144037,"ëĤ¼":144038,"ëĭIJ":144039,"âĢ¹":144040,"ë¦Ń":144041,"ì§IJ":144042,"âĢ¤":144043,"Ãħ":144044,"뾨":144045,"íĦ¸":144046,"íľĺ":144047,"ê²ģ":144048,"ë´ħ":144049,"Ãĺ":144050,"ëŃĶ":144051,"ëĺij":144052,"âĹĩ":144053,"ìĹĺ":144054,"ï»´":144055,"맹":144056,"ï¾Ŀ":144057,"ìĬ·":144058,"íĥķ":144059,"ï¼ł":144060,"ì»´":144061,"ëłĮ":144062,"ì½ľ":144063,"ﻹ":144064,"ãħł":144065,"졸":144066,"ëħ¹":144067,"âĤº":144068,"âĸ¶":144069,"íĥIJ":144070,"êµ´":144071,"íij¸":144072,"ÑĶ":144073,"íĶ½":144074,"Ðħ":144075,"ë°¤":144076,"Ôģ":144077,"첨":144078,"ì¶ĺ":144079,"ë²Ĺ":144080,"멸":144081,"ï¼»":144082,"ï¼½":144083,"ï¼·":144084,"ì°Į":144085,"ÃĴ":144086,"íı´":144087,"ìĵ¸":144088,"ì´Į":144089,"ëģĶ":144090,"ëĶ©":144091,"ëĩĮ":144092,"ë©Ģ":144093,"벨":144094,"ï¼µ":144095,"맡":144096,"ëĭ«":144097,"฿":144098,"ãģ±":144099,"ìĩ¼":144100,"ìºł":144101,"뮤":144102,"ê±±":144103,"컬":144104,"âĦĥ":144105,"ëĶ±":144106,"ëĥĪ":144107,"ìĭ±":144108,"íĻĪ":144109,"ëŀIJ":144110,"ìħĢ":144111,"ìłł":144112,"ÐĨ":144113,"ëłī":144114,"ï½ħ":144115,"ï½ı":144116,"íĻĢ":144117,"뼰":144118,"á»®":144119,"íĤ¹":144120,"ê½ĥ":144121,"ﻤ":144122,"ïºĶ":144123,"꺼":144124,"ìķī":144125,"âĻ¦":144126,"ï½ģ":144127,"ìĵ´":144128,"ãĢī":144129,"ì°®":144130,"ì¤ĺ":144131,"Ừ":144132,"ëģĦ":144133,"ëIJ¨":144134,"ìķĮ":144135,"íĿĺ":144136,"íħIJ":144137,"ãĢĪ":144138,"겪":144139,"ëĭ¥":144140,"ê²¼":144141,"á»Į":144142,"맨":144143,"ëģĬ":144144,"벤":144145,"ëijĶ":144146,"íĿ¡":144147,"Ử":144148,"ë¬ĺ":144149,"ãģī":144150,"ëŀ«":144151,"íĶĪ":144152,"íħį":144153,"ìŀĥ":144154,"ï½ī":144155,"ìģľ":144156,"âĸ½":144157,"묻":144158,"âĸ³":144159,"Ｘ":144160,"ìģĺ":144161,"춰":144162,"ìĬ´":144163,"ìķ±":144164,"ìĩĦ":144165,"Ắ":144166,"ï´¿":144167,"ï´¾":144168,"âĤ½":144169,"ëĦĵ":144170,"룩":144171,"쳤":144172,"ê´ľ":144173,"ÃĻ":144174,"Ỿ":144175,"ï¿£":144176,"ëĵŃ":144177,"ë©ĺ":144178,"ê»´":144179,"ëł´":144180,"Ðĥ":144181,"묵":144182,"ì§Ŀ":144183,"ãģº":144184,"ðŁĺĤ":144185,"ëŀ¬":144186,"ìłĬ":144187,"ê´Ħ":144188,"ìŀĬ":144189,"íŀĮ":144190,"ìĦ¯":144191,"âĪĢ":144192,"âĸ¡":144193,"ëĢĮ":144194,"ëŀĻ":144195,"ï½ĥ":144196,"Ặ":144197,"ï¾Ħ":144198,"ïºĺ":144199,"ë¹¼":144200,"ÃĮ":144201,"âĸ·":144202,"ê¸į":144203,"ë©ĭ":144204,"ãģĥ":144205,"ìĺĨ":144206,"ìĺ®":144207,"몬":144208,"롤":144209,"볬":144210,"ëĬ¦":144211,"âĸª":144212,"ì¼ĵ":144213,"ìľĪ":144214,"짧":144215,"ï½½":144216,"ëĥī":144217,"ï¾Į":144218,"ëĺIJ":144219,"ï¼ĥ":144220,"á»Ħ":144221,"ì´¬":144222,"춤":144223,"ï¼¹":144224,"ï»Ń":144225,"âĤ«":144226,"ï½ĩ":144227,"ìĺ·":144228,"ëĸ¨":144229,"âī«":144230,"릿":144231,"⾨":144232,"Ù±":144233,"쯤":144234,"ê¹Ķ":144235,"ðŁĺĬ":144236,"ìĪ«":144237,"ê³±":144238,"êµ³":144239,"ï½ĭ":144240,"à¸Į":144241,"Äł":144242,"ëĶ¸":144243,"ë°ij":144244,"ìħĭ":144245,"íİ´":144246,"âľħ":144247,"íĥij":144248,"ëĪĩ":144249,"íı¼":144250,"ðŁĺį":144251,"ìĺĽ":144252,"ﻣ":144253,"Ñĺ":144254,"ì©Į":144255,"ë¦ħ":144256,"ìĿį":144257,"ｸ":144258,"ëįľ":144259,"ãģħ":144260,"íݼ":144261,"ëĭĿ":144262,"ë¿Į":144263,"ì¼°":144264,"ìĭ«":144265,"ë°¥":144266,"íĽĮ":144267,"ì¨Į":144268,"ë¹Ļ":144269,"ï½İ":144270,"ë´Ħ":144271,"ìĦ¹":144272,"ï½²":144273,"ìĮĵ":144274,"Òij":144275,"ë°į":144276,"ëłĢ":144277,"íĨ¤":144278,"ｯ":144279,"ë¤Ħ":144280,"꽤":144281,"ï½Ĵ":144282,"ìķ¨":144283,"ï½¼":144284,"ê¹IJ":144285,"íģIJ":144286,"âĦĸ":144287,"맺":144288,"ﺮ":144289,"ëħģ":144290,"겸":144291,"ï»ł":144292,"íĬľ":144293,"Ź":144294,"ë¥Ń":144295,"ëĪī":144296,"ï½Ķ":144297,"íĮ¬":144298,"ìŀĩ":144299,"ï¬ģ":144300,"ﻨ":144301,"ëij¥":144302,"ëŀĦ":144303,"Ù¬":144304,"íĭ´":144305,"ìŀī":144306,"Ú¾":144307,"ìĽħ":144308,"ï»®":144309,"ëĭī":144310,"âīª":144311,"âĹĦ":144312,"ëĪĮ":144313,"íĽ¼":144314,"ì¤į":144315,"Ÿ":144316,"줬":144317,"ì¾Į":144318,"ï½ĵ":144319,"ï¾Ĭ":144320,"ðŁı»":144321,"ï¾ī":144322,"Ðģ":144323,"íĺIJ":144324,"ï¾Ļ":144325,"꼬":144326,"íŀIJ":144327,"âĢ¥":144328,"ëŁŃ":144329,"ë§ŀ":144330,"ìĥ¤":144331,"ïºĴ":144332,"íĭ±":144333,"ë½ij":144334,"Ãķ":144335,"âĪļ":144336,"ëĤĦ":144337,"ê¹Ŀ":144338,"ëĨĪ":144339,"Ẻ":144340,"ìħĪ":144341,"ìĮį":144342,"âĢ¡":144343,"ï¼±":144344,"ìģ¨":144345,"âĺº":144346,"ëĴ·":144347,"ìĺ³":144348,"ðŁijį":144349,"몽":144350,"ëĤŃ":144351,"ïºŃ":144352,"ë©Ī":144353,"á»Ī":144354,"íķĢ":144355,"ëĭĻ":144356,"ë¦ĩ":144357,"ìķ¤":144358,"ìį¼":144359,"ãĥµ":144360,"Ñ£":144361,"ìľĹ":144362,"âŃIJ":144363,"ï¾ĺ":144364,"íŬ":144365,"ê¾¼":144366,"ìķĹ":144367,"ï»Į":144368,"ê±·":144369,"ëħķ":144370,"롱":144371,"ìķĬ":144372,"ï¾Ģ":144373,"ìĩł":144374,"íĮ©":144375,"ﺪ":144376,"ë§Ļ":144377,"＿":144378,"ê¿Ķ":144379,"íİľ":144380,"룸":144381,"íĶĶ":144382,"ﻳ":144383,"ëıķ":144384,"ìĭ¼":144385,"á»İ":144386,"ë§ĺ":144387,"ì¢ĭ":144388,"íĨ¡":144389,"ï½±":144390,"íĿij":144391,"Ỹ":144392,"ì¦Į":144393,"칸":144394,"ëŃĺ":144395,"ï¾Ĺ":144396,"ï»ĭ":144397,"íĬĢ":144398,"ë¥Ļ":144399,"콩":144400,"ëģĹ":144401,"ëį´":144402,"ìħľ":144403,"¸":144404,"ë»IJ":144405,"ìĥµ":144406,"ê²IJ":144407,"ëĵ¬":144408,"룰":144409,"ãħĭ":144410,"ìĹī":144411,"á»ĸ":144412,"ëĦĮ":144413,"ｶ":144414,"ë´ĩ":144415,"ëĤ³":144416,"ãĤľ":144417,"ëĸ»":144418,"íİĢ":144419,"ëį©":144420,"íķ¸":144421,"÷":144422,"ê¼¼":144423,"ëĶľ":144424,"ë°´":144425,"ë©į":144426,"âĹ¯":144427,"ìĹij":144428,"ìĻ¼":144429,"ïºij":144430,"ë¶ķ":144431,"롬":144432,"ï½Į":144433,"íĨ¨":144434,"ﺴ":144435,"ëłĺ":144436,"ê°¤":144437,"ìĪ²":144438,"Ñĵ":144439,"ìħī":144440,"ï»ĵ":144441,"ëĪĶ":144442,"ëį§":144443,"âĢ¼":144444,"ﻲ":144445,"ê°±":144446,"ê¿Ģ":144447,"ëĭ·":144448,"Ẹ":144449,"Ẫ":144450,"ÆĴ":144451,"ëį¤":144452,"ìĪŃ":144453,"ï½Ĥ":144454,"ï½Ī":144455,"Åł":144456,"룬":144457,"ѵ":144458,"ëĸ¡":144459,"ëĥĦ":144460,"ìĦ°":144461,"ëĵĪ":144462,"ï¾ĥ":144463,"ëĩ¨":144464,"ï½IJ":144465,"êµ½":144466,"ìĹ½":144467,"ëĤĢ":144468,"묶":144469,"ï½·":144470,"ìıŁ":144471,"íĺĶ":144472,"ê¼Ī":144473,"ëģĪ":144474,"ì¥IJ":144475,"ïºĹ":144476,"ÄĮ":144477,"ëĪł":144478,"ëĸ¼":144479,"íĢ´":144480,"âī¥":144481,"ëĭŃ":144482,"ì±Ļ":144483,"ê»ı":144484,"멤":144485,"ìĥĺ":144486,"ëį®":144487,"룡":144488,"ìĤ½":144489,"ãĪľ":144490,"Ĩ":144491,"âĢ§":144492,"ｺ":144493,"Ä£":144494,"ì¦ī":144495,"ï¼¼":144496,"Û©":144497,"âĪĻ":144498,"ë°ı":144499,"ë¹ħ":144500,"ðŁĺĽ":144501,"íĪ´":144502,"ðŁĴķ":144503,"ãĢĴ":144504,"ìŀĺ":144505,"ﺤ":144506,"ï½ĸ":144507,"ë©ľ":144508,"ë²¼":144509,"ëĿĦ":144510,"ëļľ":144511,"ï»ĺ":144512,"ìĥĮ":144513,"ï½Ħ":144514,"ì©Ķ":144515,"ï½Ļ":144516,"ﺩ":144517,"Ûŀ":144518,"âĺİ":144519,"ìł¤":144520,"ëIJ©":144521,"ÅĿ":144522,"âŀ¡":144523,"ﻧ":144524,"Ðı":144525,"ì«ĵ":144526,"ê³½":144527,"Éij":144528,"ãĥ²":144529,"ëĤ«":144530,"ë¦ī":144531,"ì¢ģ":144532,"ë°Ń":144533,"ðŁĺģ":144534,"ë¹µ":144535,"첩":144536,"컵":144537,"ðŁĺĺ":144538,"ë±ħ":144539,"âīĪ":144540,"ë¹ļ":144541,"ï»ľ":144542,"ðŁĻı":144543,"íģ°":144544,"ìĦŀ":144545,"ï¾ļ":144546,"ìĺ¹":144547,"ë¼Ī":144548,"ëĤ¯":144549,"ëŀ©":144550,"íļ¡":144551,"ï½ķ":144552,"íĥĵ":144553,"ëĿł":144554,"ê³ģ":144555,"ëĵĢ":144556,"ìĹł":144557,"Ｚ":144558,"ë§ij":144559,"ëĭ¿":144560,"쿨":144561,"ãİ¡":144562,"ÐĬ":144563,"íĦ±":144564,"Ũ":144565,"ﺳ":144566,"ï¾ı":144567,"âĭħ":144568,"ê¼´":144569,"âī¤":144570,"íĮģ":144571,"Ω":144572,"궤":144573,"ìĪį":144574,"âľ¿":144575,"콤":144576,"ëĪħ":144577,"íĨ±":144578,"ãħľ":144579,"áIJħ":144580,"ÅĴ":144581,"ðŁijī":144582,"ﻦ":144583,"Ъ":144584,"ë¥ľ":144585,"íķ«":144586,"ï¾ĭ":144587,"âĻ«":144588,"ê¹ľ":144589,"ë°¸":144590,"ëĶĺ":144591,"íĿī":144592,"ï¾ģ":144593,"ï¾Ľ":144594,"볼":144595,"ê²¹":144596,"쿼":144597,"ﻬ":144598,"âŀ¤":144599,"ðŁĻģ":144600,"ïºł":144601,"ëĨ¨":144602,"믹":144603,"ê¸ĭ":144604,"ë»Ķ":144605,"ê¹ĥ":144606,"ëijij":144607,"íĭ¸":144608,"íİĻ":144609,"âŀĸ":144610,"ãĥ½":144611,"ì§ļ":144612,"ｬ":144613,"ﻥ":144614,"íĮ½":144615,"âĢĴ":144616,"ìĮĢ":144617,"ìŃī":144618,"ëļ±":144619,"ãĤŀ":144620,"íĭĪ":144621,"ãĤIJ":144622,"ëīĺ":144623,"Σ":144624,"ê³°":144625,"ë¹Ĺ":144626,"ï¾İ":144627,"ðŁĺŃ":144628,"íĿł":144629,"ìĹ¿":144630,"ê°ļ":144631,"ì¤Į":144632,"맵":144633,"ï½³":144634,"ãģ¢":144635,"ï»Ĺ":144636,"âī¦":144637,"Ú¤":144638,"ëłģ":144639,"ê¼½":144640,"ﻫ":144641,"âī§":144642,"ì´Ľ":144643,"ìłĿ":144644,"Ằ":144645,"âĻ£":144646,"ìºĺ":144647,"âĪĩ":144648,"ê²ī":144649,"ë°Ł":144650,"ï»Ķ":144651,"íĸĩ":144652,"âĸĴ":144653,"ðŁijı":144654,"Ãŀ":144655,"ðŁĺĨ":144656,"ﺼ":144657,"âĿĹ":144658,"ìºĶ":144659,"칩":144660,"ëĸ¤":144661,"ëĥħ":144662,"âĶľ":144663,"ï½»":144664,"ÎĶ":144665,"áĥ¦":144666,"ìŀİ":144667,"âĺĢ":144668,"âĪ¼":144669,"ðŁĶ¥":144670,"ë°Į":144671,"ìłĸ":144672,"íĹĽ":144673,"Îķ":144674,"ïºĥ":144675,"ë¶ī":144676,"âĪŀ":144677,"íĥŃ":144678,"Ãĭ":144679,"âģĦ":144680,"ãħĩ":144681,"ëĦ¥":144682,"ëĭ®":144683,"ëł·":144684,"íĮĿ":144685,"캡":144686,"ë·Ķ":144687,"ì©į":144688,"íĤ´":144689,"ëļ«":144690,"âĵĴ":144691,"íķį":144692,"âĻĤ":144693,"ï¾Ĩ":144694,"âĨ©":144695,"ìį©":144696,"ïºķ":144697,"íĿĻ":144698,"Ñľ":144699,"íĤ·":144700,"íĿ°":144701,"íĥ±":144702,"ëķIJ":144703,"ï¾Ĵ":144704,"×ĥ":144705,"ëĮĦ":144706,"ìĺ´":144707,"ìķµ":144708,"ê¹¥":144709,"ëŀŃ":144710,"쪼":144711,"ãİĿ":144712,"ðŁĺħ":144713,"ëıĭ":144714,"몫":144715,"ﺸ":144716,"뮬":144717,"ë²ħ":144718,"ëijł":144719,"ìħ°":144720,"ì»·":144721,"ëĶª":144722,"ëħĶ":144723,"ãħ¡":144724,"ìĶ»":144725,"íķı":144726,"ëį±":144727,"ﺨ":144728,"ï¾į":144729,"ï½µ":144730,"ì¢Ģ":144731,"íİĮ":144732,"ï»°":144733,"ﺣ":144734,"Æ£":144735,"ðŁ¤£":144736,"ï·º":144737,"ëĤļ":144738,"âĭĨ":144739,"ë³į":144740,"ðŁĺĦ":144741,"ìĸĢ":144742,"ìĻł":144743,"ëĨĶ":144744,"íŨ":144745,"ï»Ľ":144746,"ï»Ŀ":144747,"Ỷ":144748,"ìĸĺ":144749,"ìİĦ":144750,"ÚĨ":144751,"ï»ŀ":144752,"ëĢIJ":144753,"ê²Ķ":144754,"ﻵ":144755,"âŦ":144756,"íļŁ":144757,"ê¹ģ":144758,"ê°ĵ":144759,"ëĶ´":144760,"ìıĺ":144761,"ëļĿ":144762,"ỳ":144763,"ëŀ´":144764,"ëĦī":144765,"âĺŀ":144766,"ï½ĺ":144767,"Ž":144768,"ë¦İ":144769,"âĸ¬":144770,"ëŃī":144771,"âĩĽ":144772,"ìį¬":144773,"ïºŁ":144774,"Ëľ":144775,"ë¶ĵ":144776,"ìĽ°":144777,"Åľ":144778,"ëŃĩ":144779,"Ỳ":144780,"Ëļ":144781,"ëķĢ":144782,"âĺij":144783,"ðŁı¼":144784,"ìĸ½":144785,"âĮĴ":144786,"Ðİ":144787,"ɾ":144788,"íĮ¡":144789,"ï¾ħ":144790,"ìŀŃ":144791,"ｨ":144792,"칫":144793,"ìľĮ":144794,"ÒĽ":144795,"굿":144796,"ëĭ¦":144797,"âĶĶ":144798,"ï¾ij":144799,"ì§ĸ":144800,"ìºĦ":144801,"ãĢĥ":144802,"ʼ":144803,"ê²Ł":144804,"ｧ":144805,"Ä¢":144806,"íİł":144807,"맷":144808,"ê°ĩ":144809,"ìĭ¹":144810,"ðŁĴ¦":144811,"ï¾ľ":144812,"ëĬĻ":144813,"벡":144814,"Å¿":144815,"ðŁĺĭ":144816,"ðŁĴª":144817,"ì¿Ħ":144818,"ë©ķ":144819,"ìѤ":144820,"ëĬĦ":144821,"ðŁĮ¸":144822,"ãĤĿ":144823,"Çİ":144824,"ï½ļ":144825,"ÄĹ":144826,"ëģĵ":144827,"ê¶IJ":144828,"áµī":144829,"ãĥĤ":144830,"ê»į":144831,"ðŁĺ¦":144832,"ãĢĿ":144833,"ðŁ¤Ĺ":144834,"ÑŁ":144835,"ìĹİ":144836,"âľĮ":144837,"ìīIJ":144838,"ÃĨ":144839,"íĹIJ":144840,"ðŁİī":144841,"Îij":144842,"ï½Ń":144843,"ðŁĴĻ":144844,"ìĽ¬":144845,"íĢĺ":144846,"ﻢ":144847,"ðŁĺİ":144848,"íij¼":144849,"íĿ©":144850,"ï»Ħ":144851,"íħĢ":144852,"ëłIJ":144853,"쥬":144854,"Ðĭ":144855,"ìĥ·":144856,"뾬":144857,"ðŁĺĥ":144858,"ëĦ¬":144859,"륨":144860,"ìĽį":144861,"ï½Ĩ":144862,"ï½´":144863,"ãĥħ":144864,"Ãı":144865,"ﻪ":144866,"âĻł":144867,"ëĬ¬":144868,"ë±Ģ":144869,"ë°ĭ":144870,"ìĥĢ":144871,"ï½¾":144872,"ëĤ±":144873,"컸":144874,"ðŁĴĸ":144875,"ðŁijĮ":144876,"Ñŀ":144877,"짱":144878,"ËĨ":144879,"ðŁĵļ":144880,"âŃķ":144881,"ï¬Ĥ":144882,"ﻡ":144883,"ëij¬":144884,"íĪ¼":144885,"âĸ¸":144886,"ê°¯":144887,"ê¹ħ":144888,"ï½®":144889,"ëĺ¥":144890,"Ä¡":144891,"íĮŁ":144892,"ÐĮ":144893,"ìĨŁ":144894,"ïºĵ":144895,"ﻼ":144896,"ÃĽ":144897,"ãĥ¾":144898,"ëĮĵ":144899,"íĴĭ":144900,"ìķĵ":144901,"ï½¹":144902,"ëĤ¡":144903,"ðŁijĩ":144904,"Ẽ":144905,"ãĢŁ":144906,"ðŁĮŁ":144907,"íĥł":144908,"ãĢĨ":144909,"âĢŁ":144910,"ë¸IJ":144911,"ðŁĮ¹":144912,"ìł¼":144913,"ðŁĵĮ":144914,"ìĶ¬":144915,"âĹĢ":144916,"ðŁĴĵ":144917,"ê¹İ":144918,"ìĤIJ":144919,"ìĶĮ":144920,"ÑĽ":144921,"âĶĪ":144922,"ë²³":144923,"ãİŀ":144924,"Õ¡":144925,"íĤµ":144926,"ðŁ¤Ķ":144927,"ëĢĶ":144928,"ìĬIJ":144929,"íĻī":144930,"⾦":144931,"ëľ¯":144932,"ìł¯":144933,"ëĶ§":144934,"Φ":144935,"ËĪ":144936,"ìī¼":144937,"âĹĬ":144938,"ëľ©":144939,"ëľ°":144940,"ï¾IJ":144941,"ë¿Ķ":144942,"ìĹ®":144943,"ì·Į":144944,"ﺧ":144945,"ÎĴ":144946,"ëµĻ":144947,"ï»Ĭ":144948,"ì°Ķ":144949,"íİĦ":144950,"ðŁĴĹ":144951,"Ẵ":144952,"ì°¢":144953,"íľ¼":144954,"ê½Ĥ":144955,"ì±Ķ":144956,"ìī´":144957,"âĸ¾":144958,"íĪ°":144959,"ëĭĽ":144960,"âĿ£":144961,"ｪ":144962,"ðŁĴľ":144963,"Ëĺ":144964,"ãħ¤":144965,"âĨĹ":144966,"íĸĦ":144967,"âĻ¬":144968,"ìķ°":144969,"ïºľ":144970,"âī¡":144971,"ãĢĵ":144972,"ìij¥":144973,"íĮį":144974,"íīģ":144975,"ë»Ĺ":144976,"íľł":144977,"íľ©":144978,"âľĪ":144979,"íĢĦ":144980,"ìĸĩ":144981,"ì¢ĩ":144982,"íŀĻ":144983,"몹":144984,"ãĤĽ":144985,"ðŁĺ±":144986,"ëįŁ":144987,"à¹ħ":144988,"굶":144989,"Ù«":144990,"ìĶģ":144991,"âľª":144992,"ï¾Ī":144993,"ðŁĻĮ":144994,"âļ¡":144995,"Îļ":144996,"ì¼Ī":144997,"ï¾Ķ":144998,"ï¾Ĥ":144999,"êµī":145000,"ﺻ":145001,"ðŁĴĭ":145002,"á¹£":145003,"ÓĻ":145004,"ìĨľ":145005,"ìĹ£":145006,"âľ©":145007,"ìľĻ":145008,"ﺰ":145009,"Ẳ":145010,"ìŀ£":145011,"âĿĮ":145012,"âĺģ":145013,"ìķİ":145014,"Ľ":145015,"Ûģ":145016,"ãĦ±":145017,"ëŁ¿":145018,"íĮ¸":145019,"ê½ī":145020,"ìıł":145021,"ðŁįĢ":145022,"âĨĶ":145023,"ëŃ¡":145024,"ï»ģ":145025,"ï¼Ħ":145026,"ðŁĴ¥":145027,"âĺĽ":145028,"íĹ·":145029,"ëij¡":145030,"Îł":145031,"Τ":145032,"âĦĵ":145033,"ﺷ":145034,"ÎĻ":145035,"ëıĶ":145036,"짤":145037,"âĶĥ":145038,"ãĦ·":145039,"ÇĴ":145040,"ðŁ¥°":145041,"ëĶķ":145042,"ìļ¥":145043,"ì¸Ħ":145044,"íĽĶ":145045,"ïºĩ":145046,"ﺬ":145047,"ðŁĺ¢":145048,"빡":145049,"ìĶ¹":145050,"ų":145051,"ËĿ":145052,"íİij":145053,"ï¾ĵ":145054,"ðŁĴļ":145055,"ëĬij":145056,"꺾":145057,"íĨ°":145058,"ÿ":145059,"ÐĦ":145060,"ëĮIJ":145061,"ë½Ģ":145062,"ì·Ħ":145063,"ðŁĵį":145064,"ðŁĻĪ":145065,"âĹĪ":145066,"ê¿ĩ":145067,"ì¼Ħ":145068,"íİ«":145069,"ðŁĩ·":145070,"âĶĭ":145071,"âļł":145072,"ë±ī":145073,"ìį°":145074,"ìĻĪ":145075,"ɪ":145076,"ïºĭ":145077,"ðŁĺľ":145078,"ÎŁ":145079,"ðŁĻĤ":145080,"âļ½":145081,"ÅĪ":145082,"ë¹Ķ":145083,"íĮľ":145084,"à¹ı":145085,"ìĸ¹":145086,"íĪŃ":145087,"ðŁ¥ĩ":145088,"ãĦ´":145089,"ëĶ¥":145090,"ìŃĪ":145091,"âĪĨ":145092,"ëĸ³":145093,"ë±ĥ":145094,"ìŀ¦":145095,"ï»IJ":145096,"Îľ":145097,"⾧":145098,"Ïį":145099,"ìłĵ":145100,"âĹķ":145101,"ëĴĢ":145102,"ï»Ģ":145103,"ðŁĶ´":145104,"ê½ģ":145105,"ëĮĪ":145106,"ëİĮ":145107,"ãĤİ":145108,"â¦ģ":145109,"콧":145110,"ﯾ":145111,"âĿ¯":145112,"à¸ħ":145113,"ðŁĻĦ":145114,"âĿĢ":145115,"ðŁĶ¹":145116,"âĩIJ":145117,"êµµ":145118,"âĩĶ":145119,"ë¶IJ":145120,"ðŁĴĽ":145121,"ξ":145122,"íĥ¬":145123,"âĿĦ":145124,"Ò£":145125,"ãĢ°":145126,"âĪij":145127,"âĺ¼":145128,"âīł":145129,"Ò¯":145130,"ﺯ":145131,"꿨":145132,"âľĸ":145133,"Êĸ":145134,"íĢĢ":145135,"ê¾Ģ":145136,"íĹĿ":145137,"âĶ£":145138,"ãİľ":145139,"ëĶĽ":145140,"뾸":145141,"ﺫ":145142,"ê¿°":145143,"ðŁĩ¹":145144,"ÇIJ":145145,"ÛĴ":145146,"룻":145147,"ïºĸ":145148,"Ñļ":145149,"ëĬł":145150,"Ûķ":145151,"깡":145152,"ë¿ľ":145153,"ì²¼":145154,"ï¨ij":145155,"륵":145156,"ìį¸":145157,"íħħ":145158,"íij¹":145159,"ÖĢ":145160,"ï³Į":145161,"ãħ£":145162,"ìij¤":145163,"ì½ķ":145164,"ëķł":145165,"ðŁĮ¿":145166,"íĥĶ":145167,"ìĽģ":145168,"ζ":145169,"âŀľ":145170,"ìĬĺ":145171,"íĽĹ":145172,"멧":145173,"ìīĺ":145174,"Õ¶":145175,"á¹ĩ":145176,"ðŁİģ":145177,"ｿ":145178,"ï¼Ĥ":145179,"á¼IJ":145180,"âľķ":145181,"âŀ¢":145182,"ëĦ¨":145183,"컫":145184,"ì¯Ķ":145185,"ì°ľ":145186,"ðŁĴ°":145187,"íħĿ":145188,"ãİı":145189,"볶":145190,"Òĵ":145191,"âĨ³":145192,"ìĥ´":145193,"íģĺ":145194,"âĸĢ":145195,"ë²Ļ":145196,"à¸ĥ":145197,"ὶ":145198,"Äķ":145199,"â¬ĩ":145200,"ë¤ĺ":145201,"ðŁİµ":145202,"âľļ":145203,"ïºı":145204,"Ρ":145205,"âĹī":145206,"ðŁĴ«":145207,"ÐĪ":145208,"ìĸĦ":145209,"ì§Ļ":145210,"ï»ĥ":145211,"ðĿijĴ":145212,"ëŃĦ":145213,"âĿ¥":145214,"âĿĸ":145215,"âĺĿ":145216,"ʹ":145217,"ḥ":145218,"âĢ¿":145219,"ãħħ":145220,"ê¸ģ":145221,"ëķ¡":145222,"ëį¥":145223,"âĪ©":145224,"ê»Ħ":145225,"ë®Į":145226,"Ò±":145227,"âĪĹ":145228,"ëłĻ":145229,"ïºĮ":145230,"ËIJ":145231,"ðŁĺ³":145232,"ðŁij©":145233,"ðŁİ¶":145234,"쿵":145235,"ðŁ¤©":145236,"ê·¤":145237,"ëĮĶ":145238,"ïºIJ":145239,"Ïİ":145240,"춥":145241,"ï½Ĭ":145242,"á¹Ń":145243,"뤼":145244,"âĸ«":145245,"ì§ł":145246,"á¼Ģ":145247,"ê»ij":145248,"ëĮģ":145249,"íĢ¸":145250,"âĻĽ":145251,"ðŁĴŀ":145252,"âĸ°":145253,"ðĿijĸ":145254,"ëĿ¤":145255,"द":145256,"ì´ĺ":145257,"ðŁĺĩ":145258,"ëĶ¤":145259,"ÎĹ":145260,"ðŁĻĩ":145261,"ËĽ":145262,"ì©¡":145263,"âĪ§":145264,"Õ¥":145265,"ÑĻ":145266,"ëIJ¬":145267,"ëĸĦ":145268,"ðŁĮ·":145269,"ìĹĮ":145270,"ðŁĺ¥":145271,"ëĪ´":145272,"ï»ļ":145273,"ÉĽ":145274,"ïºĦ":145275,"ï»ı":145276,"ÅĮ":145277,"ë²ļ":145278,"ìĭ£":145279,"ïºĢ":145280,"Îĵ":145281,"ðŁĺĮ":145282,"ËĻ":145283,"ëŀı":145284,"ðŁĶ¸":145285,"ðŁĵ·":145286,"ëģ½":145287,"íģ½":145288,"ðŁĴ¡":145289,"ðŁĮ±":145290,"ëºı":145291,"ìģł":145292,"ìĥIJ":145293,"ëıĹ":145294,"츰":145295,"ëĪķ":145296,"ÎĿ":145297,"âģī":145298,"ðŁĮ¼":145299,"íĮł":145300,"âĭ¯":145301,"áĥĺ":145302,"⾤":145303,"ê±Ķ":145304,"íĮİ":145305,"ðŁĴ¯":145306,"ìıĻ":145307,"íĹī":145308,"ÙŃ":145309,"ì½°":145310,"ﺿ":145311,"ï»±":145312,"ì±Į":145313,"âĺķ":145314,"ðŁİĢ":145315,"ÄĿ":145316,"ë°§":145317,"ìĤ¿":145318,"áijķ":145319,"ðŁįĥ":145320,"âĩ¨":145321,"ÎĽ":145322,"맴":145323,"ë³ķ":145324,"áijIJ":145325,"âĸĵ":145326,"ðĿijľ":145327,"âĻ»":145328,"íĤ¥":145329,"Õ¸":145330,"ãĪ±":145331,"ëºĢ":145332,"첸":145333,"ïºĽ":145334,"ðŁıĨ":145335,"ðŁĩª":145336,"âĿĵ":145337,"ÄĢ":145338,"ì½¥":145339,"ðŁĩ§":145340,"á½·":145341,"âľĤ":145342,"ìŀ¼":145343,"李":145344,"ðŁĵ¸":145345,"âĻ¯":145346,"ÉĶ":145347,"ὸ":145348,"âĮª":145349,"ï»ĸ":145350,"不":145351,"âļ«":145352,"âĶĹ":145353,"ðŁĮĪ":145354,"ﻩ":145355,"ðŁĵ²":145356,"ÏĪ":145357,"ðŁĺ¡":145358,"ðĿijİ":145359,"ìľ½":145360,"짬":145361,"ì§Ĭ":145362,"á½³":145363,"ìĮ¤":145364,"ëĤį":145365,"âīĴ":145366,"ðŁij¨":145367,"âĺĺ":145368,"Ó©":145369,"âĤĵ":145370,"âĪĤ":145371,"ï¹ģ":145372,"ðŁĴIJ":145373,"íħĥ":145374,"ðŁı½":145375,"ê·Ħ":145376,"ðŁĺı":145377,"ðŁĮº":145378,"ðŁĺĶ":145379,"ｫ":145380,"âľİ":145381,"ëµĪ":145382,"ðŁĩ¸":145383,"âĢ£":145384,"âŀĶ":145385,"ëĺĺ":145386,"ìĥ¬":145387,"Êĥ":145388,"â¬ħ":145389,"ì©IJ":145390,"ðŁĻĨ":145391,"ðŁİĦ":145392,"ľ":145393,"⣶":145394,"áĥIJ":145395,"âĺ»":145396,"ì±ķ":145397,"ìģ©":145398,"ë½ķ":145399,"캣":145400,"ðŁijĪ":145401,"ðŁĻĭ":145402,"ï¾ĸ":145403,"Òļ":145404,"Õ«":145405,"ìĮĪ":145406,"벧":145407,"ðŁĩ®":145408,"ï½Ŀ":145409,"ðŁįģ":145410,"ìĹ¥":145411,"ij":145412,"ë½IJ":145413,"íį½":145414,"íĽij":145415,"âĤ¹":145416,"ãħģ":145417,"ìĶ½":145418,"ðŁĶģ":145419,"य":145420,"ê¾¹":145421,"ëīľ":145422,"âĹ¡":145423,"íķĮ":145424,"Îĺ":145425,"룹":145426,"ìĻĵ":145427,"ðŁĩ¦":145428,"ðŁijĢ":145429,"âĶĮ":145430,"ῦ":145431,"ëĦĽ":145432,"ìĦ£":145433,"ìŃĻ":145434,"ï±ł":145435,"Îŀ":145436,"Ê»":145437,"ῶ":145438,"âĿĿ":145439,"ê±Ģ":145440,"ëĸ´":145441,"ãĦ¹":145442,"ðŁĴİ":145443,"Ϲ":145444,"âĽħ":145445,"ï»ķ":145446,"ãĥ±":145447,"ï½Ľ":145448,"ëĮķ":145449,"ë¹½":145450,"ì¥Ķ":145451,"쿤":145452,"ðŁĸ¤":145453,"ÑĴ":145454,"ê¹į":145455,"ëİĢ":145456,"ìĭ¯":145457,"뻤":145458,"ðŁĵŀ":145459,"ðŁĵ£":145460,"ðŁĺĿ":145461,"ìį¹":145462,"ìĹ¡":145463,"ì°IJ":145464,"á½IJ":145465,"ï»Ī":145466,"âľį":145467,"Äı":145468,"ðŁĮŀ":145469,"âĦ¦":145470,"ê½Ŀ":145471,"ë»ĺ":145472,"ìĪ±":145473,"âĶĺ":145474,"ðŁĮ»":145475,"âĤ´":145476,"âŀ¨":145477,"íIJģ":145478,"ê¶Ī":145479,"âĺ¢":145480,"ðŁĺĪ":145481,"ｩ":145482,"âĦĹ":145483,"ê°Ń":145484,"ê°¸":145485,"ë»ij":145486,"쥴":145487,"컥":145488,"ï¤Ĭ":145489,"ï»Ĵ":145490,"ðŁĺķ":145491,"âĺĶ":145492,"ìĺIJ":145493,"ðŁļĹ":145494,"ëĹĦ":145495,"ë§ı":145496,"Õ½":145497,"âĸ»":145498,"⣵":145499,"ìī°":145500,"ï»ij":145501,"âĻ©":145502,"Î¥":145503,"ðŁĺ£":145504,"âĬĤ":145505,"ãħĤ":145506,"ìħ¸":145507,"íıĦ":145508,"âľ½":145509,"ì¦Ļ":145510,"âĸ£":145511,"ê±į":145512,"ê¿ĭ":145513,"ì«Ħ":145514,"ìºĩ":145515,"ðŁĩµ":145516,"ðŁijij":145517,"âľĺ":145518,"ðĿijĽ":145519,"ìį½":145520,"ìºī":145521,"וּ":145522,"ðŁĶº":145523,"âĦ®":145524,"íĥ¤":145525,"ðŁĩº":145526,"ðŁĴµ":145527,"íħ¨":145528,"ï½ij":145529,"Ψ":145530,"ìĥ¹":145531,"ìĸķ":145532,"ì¹µ":145533,"ðŁĵ±":145534,"व":145535,"ðŁijĬ":145536,"ðŁĴĦ":145537,"ðŁĴĿ":145538,"ãĮĶ":145539,"ìĻģ":145540,"Ðĩ":145541,"à®IJ":145542,"âĸ¹":145543,"á´Ľ":145544,"âĹĺ":145545,"뺨":145546,"íĥī":145547,"ìĸĮ":145548,"ðŁIJ¶":145549,"ãĤij":145550,"Ëĩ":145551,"Åı":145552,"á½¹":145553,"ìħ§":145554,"ï¹°":145555,"ðĿij¡":145556,"ðŁĶĿ":145557,"ðŁĺ»":145558,"ðŁĴĥ":145559,"ðŁ¤¦":145560,"ðŁįĴ":145561,"íĢµ":145562,"âľĨ":145563,"ë¹´":145564,"理":145565,"ï»Ļ":145566,"á´Ĺ":145567,"ðŁĮ´":145568,";":145569,"ëĮij":145570,"ì¨ĭ":145571,"쵸":145572,"ðŁİĪ":145573,"ðŁıł":145574,"á½±":145575,"ÛĨ":145576,"á¿ĸ":145577,"âĢĽ":145578,"ì°¼":145579,"íķ¥":145580,"íĹ´":145581,"ðŁĩ¬":145582,"ì°Ŀ":145583,"âĪł":145584,"ï¼ĩ":145585,"âĬĻ":145586,"âĿij":145587,"ëĦĭ":145588,"ëŀĹ":145589,"ë°ī":145590,"ìĹĬ":145591,"ì¢Ĩ":145592,"íĮ¥":145593,"ï°²":145594,"ðŁĵĸ":145595,"ðŁĺ®":145596,"âļª":145597,"ðŁĺļ":145598,"âĿŀ":145599,"ðĿijŁ":145600,"ðŁİĤ":145601,"Åķ":145602,"áIJĪ":145603,"꺽":145604,"ì±ł":145605,"ïºĿ":145606,"ê¿ī":145607,"áĥł":145608,"ðŁıĥ":145609,"ðŁĴ¸":145610,"âĿģ":145611,"âĹ¾":145612,"Úª":145613,"á¹ĥ":145614,"íĬ¬":145615,"ðŁĩ±":145616,"íİŃ":145617,"ðŁĺŀ":145618,"ë¾°":145619,"á¹Ľ":145620,"뼸":145621,"âĿĤ":145622,"êĴ³":145623,"âĶIJ":145624,"íĵ°":145625,"âŀł":145626,"ê´ĺ":145627,"ëħĺ":145628,"뻥":145629,"ì¾ħ":145630,"ðŁĺIJ":145631,"âĪª":145632,"ðŁijģ":145633,"âĪ´":145634,"âĹģ":145635,"ëºIJ":145636,"ìŀ¤":145637,"ì±Ĺ":145638,"ðŁı¾":145639,"Χ":145640,"á½»":145641,"âŀ¥":145642,"ìŁĪ":145643,"ï»ī":145644,"âĸĮ":145645,"ãĥ®":145646,"ðŁ¤¤":145647,"âĩĵ":145648,"ì¼ł":145649,"á´ı":145650,"맬":145651,"뻣":145652,"ðŁĴ¬":145653,"ðŁįĵ":145654,"ĸ":145655,"Ù¹":145656,"Ê¿":145657,"á½°":145658,"ëķľ":145659,"ì°¡":145660,"ì°»":145661,"íİį":145662,"ðŁİ¯":145663,"ðŁįĤ":145664,"ðŁij§":145665,"âĻ¢":145666,"áĨŀ":145667,"âĻ§":145668,"âļľ":145669,"âľī":145670,"ëĵ¦":145671,"ëŃ£":145672,"ìĪı":145673,"ìĵ±":145674,"ÅŃ":145675,"ÊĬ":145676,"âĴ¸":145677,"âĩ©":145678,"ðŁĴĶ":145679,"Õµ":145680,"Ðī":145681,"Ò»":145682,"맣":145683,"ìĽľ":145684,"ì¿¡":145685,"íĽħ":145686,"íĽ¤":145687,"ﺢ":145688,"âľĭ":145689,"âĪĪ":145690,"ðŁĮį":145691,"Êľ":145692,"ëĬª":145693,"ëĴ¹":145694,"ﺲ":145695,"âĸĦ":145696,"ãħĪ":145697,"ëļ¤":145698,"íİ©":145699,"âĪ¨":145700,"ðŁ¤ª":145701,"áĥļ":145702,"곶":145703,"íĬķ":145704,"ðŁĺ¬":145705,"âĪ«":145706,"ðŁijĭ":145707,"ÒIJ":145708,"íĬ¿":145709,"ðŁĶµ":145710,"ðŁĴ¨":145711,"ðŁĮĻ":145712,"ëĩ©":145713,"âľ³":145714,"ë¨ģ":145715,"ëºĦ":145716,"ìĻij":145717,"ìºħ":145718,"íıĪ":145719,"ðĿijĻ":145720,"ðŁĴĺ":145721,"ãİ¥":145722,"âĿı":145723,"âľ°":145724,"ﯿ":145725,"ëµIJ":145726,"ì¼IJ":145727,"ﺱ":145728,"Õ´":145729,"ï¬Ģ":145730,"âľ´":145731,"ðŁ¤Ń":145732,"ðŁijĨ":145733,"âĽĶ":145734,"ê·ĵ":145735,"ìĮĮ":145736,"ðŁ¤·":145737,"ÛĶ":145738,"ðŁ§¡":145739,"ðŁĺĵ":145740,"Îĸ":145741,"âı°":145742,"ê²ľ":145743,"ëĭ³":145744,"ëİħ":145745,"ë°Ī":145746,"ï®IJ":145747,"ðŁı¡":145748,"âĨª":145749,"âĵĶ":145750,"âľĬ":145751,"ϲ":145752,"ÜIJ":145753,"ðŁĩ³":145754,"ÖĤ":145755,"âľı":145756,"ìĸĹ":145757,"ì«Ļ":145758,"ðŁĺ²":145759,"ÄŃ":145760,"âĻŃ":145761,"âĶı":145762,"âĹĮ":145763,"ðŁĺ¯":145764,"áµĴ":145765,"íĬł":145766,"Ä·":145767,"Êģ":145768,"à¤Ł":145769,"á¹ģ":145770,"á¼°":145771,"á¿Ĩ":145772,"â«":145773,"⫸":145774,"ëį«":145775,"ì³ĩ":145776,"켤":145777,"íĽ¨":145778,"ðŁĴŁ":145779,"ÊĢ":145780,"ʳ":145781,"ëĵIJ":145782,"âķ°":145783,"âĿĩ":145784,"ÇĢ":145785,"ÇĶ":145786,"É´":145787,"âĺļ":145788,"âĺľ":145789,"ê¶Ĥ":145790,"ì«Ĵ":145791,"ì±Ī":145792,"ðŁĩ¨":145793,"ðŁİ¥":145794,"ðŁĵĿ":145795,"ħ":145796,"ðĿijIJ":145797,"ÛĪ":145798,"ब":145799,"ì¬IJ":145800,"íĹ¥":145801,"âĻ¨":145802,"ðŁį´":145803,"ï¹ı":145804,"Ëĭ":145805,"ðŁ¥º":145806,"âĸ¨":145807,"íĻĭ":145808,"âĪħ":145809,"ëģĻ":145810,"ëŀł":145811,"ìĨ¥":145812,"âĢĸ":145813,"ðŁ¤ĺ":145814,"ðŁIJ»":145815,"áµķ":145816,"ÇĿ":145817,"âĺı":145818,"ïºļ":145819,"ï»Ĥ":145820,"ðŁļ©":145821,"ìĪŁ":145822,"ËĬ":145823,"⤵":145824,"ðŁĴ§":145825,"ãħį":145826,"ë©©":145827,"Ƭ":145828,"Îĩ":145829,"âĩ§":145830,"âĵļ":145831,"ìĤ¯":145832,"ìĪ¯":145833,"ëĨĭ":145834,"âľ¯":145835,"ðŁļĢ":145836,"Úĺ":145837,"Ú¨":145838,"âľŃ":145839,"ê²ħ":145840,"íĮ°":145841,"íľĻ":145842,"ðŁĮĬ":145843,"ðŁİĵ":145844,"ðŁĺĻ":145845,"Ëĥ":145846,"ðŁĴģ":145847,"ðŁijİ":145848,"âĺ¹":145849,"ðŁĺ«":145850,"ðŁĴ»":145851,"ëĤµ":145852,"ìĿĬ":145853,"íĮ»":145854,"Ò³":145855,"á½²":145856,"âŀŀ":145857,"ëĤij":145858,"ëĿĪ":145859,"죤":145860,"ﻯ":145861,"ðŁĩ©":145862,"ðŁ¥³":145863,"âĴ¼":145864,"ðŁ¦ĭ":145865,"âĺĤ":145866,"ðŁĺ°":145867,"ðŁĻĥ":145868,"ðŁĺĴ":145869,"Ûİ":145870,"Ïķ":145871,"Ḥ":145872,"룽":145873,"ìĬ¥":145874,"ðĿijī":145875,"ÉIJ":145876,"ðŁįİ":145877,"âķ¯":145878,"âķ¹":145879,"າ":145880,"ï¾ł":145881,"ë¹ķ":145882,"ïºĨ":145883,"ʺ":145884,"Ó§":145885,"âĨł":145886,"ëĥĩ":145887,"ìİĪ":145888,"ìŁ¤":145889,"ï±¢":145890,"âķ¬":145891,"âĺł":145892,"ðŁİĬ":145893,"ãįį":145894,"ãİİ":145895,"âĺ°":145896,"âľĥ":145897,"ãħī":145898,"ë¯Ī":145899,"빤":145900,"ìıŃ":145901,"ðĿij¢":145902,"ðŁIJ¾":145903,"Åĭ":145904,"ðŁij¶":145905,"âĶĽ":145906,"ï¿¢":145907,"áĥ¡":145908,"ļ":145909,"ÅĨ":145910,"ÑIJ":145911,"ìĥĽ":145912,"ìĺĮ":145913,"챤":145914,"íħģ":145915,"íļĥ":145916,"ï³Ĭ":145917,"ðĿijĶ":145918,"ðŁĩ«":145919,"âĭ°":145920,"ðŁĺ¨":145921,"âĤ©":145922,"Õ¬":145923,"á¸į":145924,"á»´":145925,"âĨĺ":145926,"âĺ¯":145927,"ãħı":145928,"ìł¬":145929,"âĻĶ":145930,"ðŁĶĶ":145931,"ðŁĺł":145932,"ðŁĻĬ":145933,"à®ľ":145934,"á¹ħ":145935,"âĹIJ":145936,"âĿĪ":145937,"âŀ½":145938,"ìĥħ":145939,"ðĿijł":145940,"Æ¢":145941,"âĭĻ":145942,"ê°Ľ":145943,"ëĿµ":145944,"ë£Ł":145945,"ìıľ":145946,"ïºģ":145947,"ðŁĴŃ":145948,"âĬĥ":145949,"ðŁIJ°":145950,"ãħĮ":145951,"Üĵ":145952,"âŀķ":145953,"á½ģ":145954,"ìķ³":145955,"ðĿijĿ":145956,"ðŁİ¬":145957,"É¡":145958,"à¤Ĺ":145959,"áIJī":145960,"ì©ľ":145961,"춧":145962,"ï³ī":145963,"ï»ħ":145964,"ðĿIJŀ":145965,"श":145966,"ðŁĵ¢":145967,"ðŁįĭ":145968,"ðŁĴħ":145969,"ï¾ķ":145970,"â¬Ĩ":145971,"âĪµ":145972,"ðŁ¤ij":145973,"áĥ£":145974,"ÆĦ":145975,"ѹ":145976,"á¼Ķ":145977,"ê°ł":145978,"ê´Į":145979,"ê·IJ":145980,"뼴":145981,"ì±ĺ":145982,"ï®Ń":145983,"ﺹ":145984,"ﺾ":145985,"âľĹ":145986,"âĿ¦":145987,"ðŁij¦":145988,"áĥĹ":145989,"Ù²":145990,"á½´":145991,"âĪı":145992,"âľ®":145993,"ê¹°":145994,"ë²µ":145995,"ìĦĢ":145996,"ì©Ŀ":145997,"ïºŀ":145998,"ﺽ":145999,"ðŁĩŃ":146000,"ËĤ":146001,"ðŁįij":146002,"ðŁįĮ":146003,"ðŁĶ»":146004,"깬":146005,"ìĬŃ":146006,"ìľ·":146007,"ðŁĽij":146008,"ǧ":146009,"ë¼Ľ":146010,"ﺡ":146011,"ﺺ":146012,"ðĿijļ":146013,"ðŁĵ¦":146014,"ðŁĶİ":146015,"ðŁĹĵ":146016,"áĥĶ":146017,"âľĴ":146018,"âľ¡":146019,"ðŁĮµ":146020,"âĶķ":146021,"ëĢĿ":146022,"ðŁįĬ":146023,"âĺĥ":146024,"ìĺħ":146025,"ব":146026,"ðŁ¦ģ":146027,"âݯ":146028,"ðŁIJķ":146029,"Ñ¿":146030,"।":146031,"à¼ĭ":146032,"ê·Ī":146033,"ì«Į":146034,"ðŁĩ°":146035,"âĿī":146036,"ì«Ģ":146037,"íĿĦ":146038,"ðĿIJ¢":146039,"ðŁļ¨":146040,"âĻ¤":146041,"ðŁĺ©":146042,"ðŁįį":146043,"ðŁĺij":146044,"ðŁļļ":146045,"ÖĦ":146046,"ë«":146047,"뫼":146048,"à¤ı":146049,"á¿·":146050,"âĮ©":146051,"âĺIJ":146052,"âŀ£":146053,"긱":146054,"꼿":146055,"ëĦĿ":146056,"ìı´":146057,"ìļ¤":146058,"쿱":146059,"íİIJ":146060,"ðŁĴ¢":146061,"ì´IJ":146062,"âĩij":146063,"âĶĵ":146064,"âģ¾":146065,"ÜĿ":146066,"ðŁį°":146067,"â´°":146068,"Æı":146069,"ÏŁ":146070,"Úº":146071,"Ûĥ":146072,"áĦĴ":146073,"âĪŁ":146074,"âĿį":146075,"ãĦ²":146076,"ìľħ":146077,"ì¤ı":146078,"ðŁĩ²":146079,"êºĦ":146080,"ðŁİ¤":146081,"âľ£":146082,"â¸Ŀ":146083,"︵":146084,"ວ":146085,"áĢĻ":146086,"âķł":146087,"Õ¯":146088,"âı©":146089,"ðĿij£":146090,"ðŁĴ£":146091,"Åĺ":146092,"à¥IJ":146093,"âģĥ":146094,"âĮĺ":146095,"ê»Į":146096,"ìĮĶ":146097,"ðĿijĺ":146098,"ðŁ¤ĵ":146099,"Õ¿":146100,"à¤Ń":146101,"âĮļ":146102,"âľĿ":146103,"ðŁIJ¼":146104,"ËĮ":146105,"âķļ":146106,"ï¦Ĺ":146107,"âĿķ":146108,"âķ£":146109,"ðŁIJ±":146110,"த":146111,"Ѿ":146112,"à¤ļ":146113,"à¤ľ":146114,"ìĪĦ":146115,"ìļľ":146116,"ðŁİ®":146117,"ÉĴ":146118,"Ú·":146119,"àºį":146120,"âĨµ":146121,"âĪĺ":146122,"âĿĬ":146123,"ë¿į":146124,"ìIJĪ":146125,"ìļĺ":146126,"쯧":146127,"íĥ¯":146128,"ìĸı":146129,"︰":146130,"ðŁĩ¯":146131,"ðŁ§ļ":146132,"ðŁĺµ":146133,"ðŁĺ·":146134,"ðŁĮ³":146135,"ລ":146136,"Äī":146137,"Ä¥":146138,"⾶":146139,"῾":146140,"âĬ±":146141,"âĺ¾":146142,"ê°ī":146143,"ê¼°":146144,"ëºij":146145,"ðŁĶĬ":146146,"ðŁĸIJ":146147,"Ť":146148,"Ò«":146149,"à®®":146150,"âĮĪ":146151,"âĹĹ":146152,"ëĦµ":146153,"ëħľ":146154,"ëľ¹":146155,"ðĿij¥":146156,"ðŁĴ¿":146157,"ðŁĽĴ":146158,"ÊĴ":146159,"áŀĵ":146160,"ðŁIJĿ":146161,"ðŁ¦Ħ":146162,"ðŁį·":146163,"âĺŁ":146164,"︶":146165,"ðŁ¤Ł":146166,"Ô±":146167,"âĨ²":146168,"âĪİ":146169,"âľ«":146170,"ëĩ½":146171,"ëıIJ":146172,"ëķĦ":146173,"靈":146174,"ï§Ŀ":146175,"ïºĻ":146176,"ðŁij»":146177,"ðŁĵº":146178,"êµ¼":146179,"ìĮ©":146180,"ðŁĮ²":146181,"ȱ":146182,"íĶķ":146183,"ðŁĺ¤":146184,"ãĮ¢":146185,"ÊĶ":146186,"ड":146187,"á¼Ī":146188,"ëİĥ":146189,"멱":146190,"ë®Ī":146191,"ðĿIJ«":146192,"âĬķ":146193,"ëĥł":146194,"뻬":146195,"íĭĶ":146196,"Õ¤":146197,"á¼±":146198,"âľ¥":146199,"âĺĦ":146200,"âĪ¥":146201,"âļķ":146202,"ðŁijĦ":146203,"ðŁİħ":146204,"àºĻ":146205,"âĶ¬":146206,"á½µ":146207,"Õ¾":146208,"Öģ":146209,"âĹĶ":146210,"ê¿į":146211,"ëĸµ":146212,"ë©İ":146213,"ë®´":146214,"ìķ´":146215,"áĥľ":146216,"ἡ":146217,"âĶĬ":146218,"âķ®":146219,"âĹ¼":146220,"ðŁį¾":146221,"ðŁĽį":146222,"ðŁijĹ":146223,"ðŁ¤ŀ":146224,"âľĦ":146225,"ÕĢ":146226,"ল":146227,"Ëī":146228,"⣨":146229,"į":146230,"ÏĬ":146231,"á´ľ":146232,"ë¹³":146233,"ï³ĭ":146234,"ï¿ł":146235,"Ī":146236,"âĤ¸":146237,"âľ±":146238,"ê»IJ":146239,"ëĭ»":146240,"맸":146241,"ìŀ¿":146242,"쩨":146243,"ìŃIJ":146244,"ì°¿":146245,"íħŁ":146246,"ðĿIJ§":146247,"ðĿijij":146248,"ðŁĮİ":146249,"ðŁĵ®":146250,"ðŁķĶ":146251,"âĹĻ":146252,"âĹ»":146253,"âŀ§":146254,"ìŁĿ":146255,"⾬":146256,"ãĥ°":146257,"âģĪ":146258,"âĵĺ":146259,"ðŁĴĮ":146260,"ï¬ĥ":146261,"àºĶ":146262,"ìĶ°":146263,"ðŁĺª":146264,"×Ģ":146265,"ìĥ¨":146266,"ïŃĭ":146267,"ðŁįķ":146268,"ðŁĺ´":146269,"ϳ":146270,"á¼Ħ":146271,"á½ħ":146272,"âĩ¢":146273,"âķŃ":146274,"ìĺ»":146275,"íĬ¤":146276,"Üĺ":146277,"⤴":146278,"âĹį":146279,"áŀŁ":146280,"ðŁįº":146281,"áŀļ":146282,"ðŁıĬ":146283,"ðŁIJ·":146284,"ÊĮ":146285,"ὺ":146286,"âģ»":146287,"ê½Į":146288,"ëĪĹ":146289,"ëĹı":146290,"ì¿°":146291,"íĢ¼":146292,"íįħ":146293,"ï·²":146294,"ðŁĮı":146295,"ðŁį«":146296,"ðŁį³":146297,"ðŁİ°":146298,"ðŁij°":146299,"ðŁĴ²":146300,"á¥Ļ":146301,"ðŁIJŁ":146302,"ï¿¡":146303,"ðŁĹ£":146304,"ðŁįľ":146305,"âľ²":146306,"ãİ¢":146307,"ðŁĶ°":146308,"Ἰ":146309,"á½ij":146310,"Äİ":146311,"áĦĢ":146312,"âĻķ":146313,"ëłĿ":146314,"ìĪ´":146315,"ïŃŃ":146316,"Óľ":146317,"ÔĢ":146318,"ëĢľ":146319,"ëĥĶ":146320,"ìĬĽ":146321,"ì«ij":146322,"캥":146323,"캬":146324,"ðĿij¦":146325,"ðŁĶ¶":146326,"쾨":146327,"ðĿIJļ":146328,"ðŁį»":146329,"ðŁĴį":146330,"ðŁ¤¡":146331,"ðŁķĬ":146332,"â½ĩ":146333,"âĵIJ":146334,"ðŁįŃ":146335,"ðŁįª":146336,"ðŁĶĨ":146337,"Ò¡":146338,"á´ĩ":146339,"ÉĹ":146340,"ÜĶ":146341,"âĦİ":146342,"âĿĥ":146343,"ëĹĢ":146344,"ï²Ķ":146345,"ïºĪ":146346,"ðĿIJ»":146347,"ðŁĴĬ":146348,"ðŁļ«":146349,"Ñ°":146350,"ѳ":146351,"ष":146352,"âĹł":146353,"ðŁij¤":146354,"ï¾ĩ":146355,"âĺĵ":146356,"ðŁįµ":146357,"ðŁ¤¨":146358,"âĸŃ":146359,"à®´":146360,"Ü¢":146361,"ܬ":146362,"à´®":146363,"ðŁķº":146364,"Ô¹":146365,"Õ£":146366,"à´¯":146367,"á´Ģ":146368,"âĮī":146369,"âľIJ":146370,"âŀ¦":146371,"ê¹½":146372,"ëĮľ":146373,"ðŁı¥":146374,"ðŁĵ©":146375,"Ò¹":146376,"Óĺ":146377,"à¤ħ":146378,"âĿ§":146379,"ÆĹ":146380,"âĹ½":146381,"ðŁij«":146382,"ðŁİ§":146383,"ðŁij£":146384,"âľ»":146385,"ðŁĻħ":146386,"ðŁĺĸ":146387,"ðŁĴ®":146388,"ະ":146389,"ðŁĶľ":146390,"ðŁįĦ":146391,"ðŁ¤Ŀ":146392,"áĥĿ":146393,"áŀĢ":146394,"âĩ¦":146395,"ʾ":146396,"Ò®":146397,"Õ¼":146398,"à¤Ĩ":146399,"âĹħ":146400,"âļĵ":146401,"âļĸ":146402,"ê¿©":146403,"ë¯Ħ":146404,"ìIJIJ":146405,"ìŀ°":146406,"ì§Ń":146407,"íĭĭ":146408,"íݨ":146409,"íĻ§":146410,"ï²ij":146411,"ðŁİĹ":146412,"Ù³":146413,"ðŁij¸":146414,"ম":146415,"ðŁijķ":146416,"Úµ":146417,"âĢ¾":146418,"âŀ°":146419,"ðŁij¯":146420,"ðŁİ¼":146421,"ðŁıģ":146422,"ĺ":146423,"Êı":146424,"Ú³":146425,"âı±":146426,"ê½Ī":146427,"ëĿĮ":146428,"ìĮī":146429,"ìĹ·":146430,"ìŀ´":146431,"íĹ¹":146432,"íľ¨":146433,"ðĿĹ²":146434,"ðŁĮIJ":146435,"ðŁİĻ":146436,"ðŁıµ":146437,"íĽĻ":146438,"ðĿijħ":146439,"ðŁĺ¶":146440,"âĵħ":146441,"âķ¥":146442,"ðŁįı":146443,"ï¦İ":146444,"Õ©":146445,"ðĿIJĦ":146446,"Ó£":146447,"Ú¿":146448,"âĻļ":146449,"ðŁĶĹ":146450,"ḫ":146451,"âĭ®":146452,"âĸ¦":146453,"âĽ½":146454,"âľµ":146455,"ãħĨ":146456,"ãħĬ":146457,"ëĦĻ":146458,"ëĿ¨":146459,"ë¥Ħ":146460,"ìĦ¦":146461,"짰":146462,"짹":146463,"íīĪ":146464,"ï§ij":146465,"ï»ĩ":146466,"ðŁĮ¾":146467,"ðŁıĸ":146468,"ðŁIJij":146469,"ðŁĴ³":146470,"ðŁĵĨ":146471,"Ûĩ":146472,"Üķ":146473,"á½½":146474,"ëĦľ":146475,"à´²":146476,"à´³":146477,"àºŃ":146478,"áĥĽ":146479,"âĿĶ":146480,"âijħ":146481,"áĥ¥":146482,"ðŁĵħ":146483,"âŀ³":146484,"á´µ":146485,"﹡":146486,"ﹶ":146487,"ÎĨ":146488,"थ":146489,"áīµ":146490,"âĿĻ":146491,"âĿ±":146492,"ëīł":146493,"ëİł":146494,"ëıĽ":146495,"ë¿ħ":146496,"ìĶ¸":146497,"íij¯":146498,"íŀī":146499,"íŀĽ":146500,"ï§Ħ":146501,"ïŃĺ":146502,"ﺦ":146503,"ﻸ":146504,"ðĿijĤ":146505,"ðĿijı":146506,"Ïij":146507,"Úł":146508,"áĢĶ":146509,"áŀĶ":146510,"á¹¢":146511,"ëĦ¸":146512,"ðĿIJ¨":146513,"ðŁĩ´":146514,"Õ°":146515,"ðŁijł":146516,"ðŁįĨ":146517,"ðŁıĢ":146518,"ðŁijIJ":146519,"ðŁįĩ":146520,"ðŁIJ£":146521,"áĪŃ":146522,"ܪ":146523,"ðŁĮĢ":146524,"áŀĺ":146525,"âĩĦ":146526,"ðĿIJĢ":146527,"ÊĻ":146528,"âĶ¼":146529,"ðŁı¿":146530,"Æ·":146531,"Èł":146532,"ѽ":146533,"âĤ¨":146534,"ê´Ń":146535,"ê¹»":146536,"ëĶ¨":146537,"ìĪĢ":146538,"ì¾°":146539,"íĨĪ":146540,"ﮧ":146541,"ﯽ":146542,"ðŁĶħ":146543,"ðŁĶ®":146544,"Å¢":146545,"Ê°":146546,"Ѹ":146547,"ण":146548,"âĬĹ":146549,"ëªĦ":146550,"ï¹·":146551,"ïºħ":146552,"ðĿIJµ":146553,"ðŁĮ¶":146554,"ðŁĵ°":146555,"ðŁĶ·":146556,"ðŁĸĴ":146557,"ðŁ¤²":146558,"ëī©":146559,"ðŁİĨ":146560,"ðŁ§IJ":146561,"ðŁį®":146562,"âĨº":146563,"âĿ¢":146564,"ðŁijª":146565,"ðŁij±":146566,"âĨ¡":146567,"áŀı":146568,"Úķ":146569,"ðŁį¹":146570,"ðŁĴĢ":146571,"Ë®":146572,"Ó¨":146573,"Öħ":146574,"à¤ĩ":146575,"âĤ¡":146576,"âĪķ":146577,"âĺī":146578,"ê¹¼":146579,"ê¼IJ":146580,"콸":146581,"ðĿIJ¬":146582,"ðŁıħ":146583,"ðŁijĻ":146584,"ðŁĴī":146585,"ðŁ¤Ļ":146586,"Èĺ":146587,"ɳ":146588,"ɹ":146589,"Ùº":146590,"áĢĦ":146591,"ῳ":146592,"âļĺ":146593,"âĿĨ":146594,"ëĨī":146595,"ìĸį":146596,"ìĺĩ":146597,"ì¥ĺ":146598,"íĸħ":146599,"íĻij":146600,"ï®Ĭ":146601,"ï¿Ń":146602,"ðĿĴIJ":146603,"ðĿĹ¢":146604,"ðŁĶĸ":146605,"ðŁĶ¨":146606,"ðŁļij":146607,"ðŁļ²":146608,"Ƹ":146609,"âĹ¥":146610,"ðĿIJŃ":146611,"ðŁį½":146612,"âĹij":146613,"âĵĩ":146614,"ðŁĶ±":146615,"âľ¼":146616,"ï¹ĥ":146617,"âķ±":146618,"ãĢĹ":146619,"ðŁıĭ":146620,"ðŁļ´":146621,"ðĿIJ®":146622,"Äļ":146623,"Õı":146624,"Ķ":146625,"áĥij":146626,"Ṭ":146627,"ÄĪ":146628,"ÄĴ":146629,"Ò°":146630,"Óķ":146631,"âIJ":146632,"âIJ£":146633,"âĹ¢":146634,"âļĻ":146635,"ãħĹ":146636,"ê°¬":146637,"곪":146638,"ê»Ģ":146639,"ëĦ´":146640,"ëİģ":146641,"ëĿĶ":146642,"묽":146643,"ëŃį":146644,"ìĩ³":146645,"ì°¹":146646,"íĮ¹":146647,"íŀĿ":146648,"ï®ĭ":146649,"ï¶Ī":146650,"ðĿĴĤ":146651,"ðŁ¥Ģ":146652,"ðŁ¦ħ":146653,"Êĺ":146654,"á¼ij":146655,"âģİ":146656,"ðŁįŀ":146657,"âĨĸ":146658,"âĨĻ":146659,"ðŁİĥ":146660,"âĦ¡":146661,"âĭ±":146662,"ðŁĶį":146663,"ನ":146664,"áµĥ":146665,"âĶ«":146666,"⦿":146667,"ðŁĩ»":146668,"Ƥ":146669,"Òı":146670,"Ò·":146671,"Ûī":146672,"à®ķ":146673,"ḳ":146674,"בּ":146675,"ðŁĨĶ":146676,"ÚŃ":146677,"Û¦":146678,"áħ¡":146679,"âĦ¹":146680,"ê¿İ":146681,"ëķĶ":146682,"ë¼ī":146683,"ìļ§":146684,"ì²µ":146685,"ì´¨":146686,"íĬĪ":146687,"íĸIJ":146688,"ðĿĹĺ":146689,"ðŁĩ¿":146690,"ðŁİĸ":146691,"ðŁijħ":146692,"ðŁĵĺ":146693,"ðŁļĻ":146694,"ðŁĽµ":146695,"ල":146696,"⼵":146697,"ðĿIJ³":146698,"ðĿIJ¸":146699,"âļĶ":146700,"ðŁijŃ":146701,"Óij":146702,"âĶ¯":146703,"ðŁħ¿":146704,"ðŁĺ¹":146705,"ï¿«":146706,"⼤":146707,"ðŁĴĩ":146708,"ðŁĵİ":146709,"ðŁĸĭ":146710,"স":146711,"ðĿIJį":146712,"IJ":146713,"Ïĭ":146714,"Ѭ":146715,"Ú¬":146716,"ÜĴ":146717,"á´¬":146718,"ï¨Ħ":146719,"É£":146720,"Ëij":146721,"ϵ":146722,"ÒĿ":146723,"Û¥":146724,"Üł":146725,"à¹Ľ":146726,"áĥķ":146727,"áĬķ":146728,"ᾶ":146729,"âĤ·":146730,"âĩ¾":146731,"âķ©":146732,"âĸIJ":146733,"âĺª":146734,"âĺ®":146735,"âĿļ":146736,"âĿŃ":146737,"âŀ±":146738,"âµİ":146739,"ãıĬ":146740,"ë©ĵ":146741,"ìĹ¾":146742,"ìªĦ":146743,"íĵĮ":146744,"íķ¼":146745,"ïѬ":146746,"ðĿijĨ":146747,"ðĿijŀ":146748,"ðĿĸĬ":146749,"ðŁİ¸":146750,"ðŁıĦ":146751,"ðŁijµ":146752,"ðŁĴł":146753,"ðŁĶĺ":146754,"ðŁ¥Ĥ":146755,"Ū":146756,"à·ĥ":146757,"á´¼":146758,"âĬ°":146759,"ë³ı":146760,"ë´£":146761,"ï¥ľ":146762,"ðŁĵĪ":146763,"ðŁķ¯":146764,"ðŁ§Ģ":146765,"âĻIJ":146766,"ðŁĨĹ":146767,"ðŁĵķ":146768,"ðŁ§ģ":146769,"Ü«":146770,"âĿIJ":146771,"Õķ":146772,"à½ķ":146773,"âŀĿ":146774,"à¦ķ":146775,"ðĿIJ¶":146776,"É¢":146777,"ÎĦ":146778,"áĨ¢":146779,"âĤ±":146780,"Õį":146781,"à¡ķ":146782,"á´°":146783,"ḩ":146784,"⼷":146785,"âĿ®":146786,"ê¡ĵ":146787,"ëı¤":146788,"ëĹIJ":146789,"ëµĮ":146790,"ìijĪ":146791,"íı¿":146792,"íŵ":146793,"ðĿIJİ":146794,"ðŁĨĺ":146795,"ðŁıŁ":146796,"É¥":146797,"Õ»":146798,"à¡Ķ":146799,"à¤ĸ":146800,"á´¸":146801,"âİĻ":146802,"âİ¥":146803,"âı³":146804,"ëģķ":146805,"ëĬī":146806,"ì¡į":146807,"칡":146808,"禮":146809,"ï¬Ł":146810,"ﮫ":146811,"ﮯ":146812,"ï±ĥ":146813,"ï·»":146814,"ﺵ":146815,"ðĿĹĶ":146816,"ðĿĹ¡":146817,"ðŁİ¨":146818,"ðŁĶĴ":146819,"ÚĽ":146820,"ध":146821,"âŀ¹":146822,"áĢĢ":146823,"ðŁįħ":146824,"âŤ":146825,"à¤ł":146826,"ðŁIJ¥":146827,"áĥĴ":146828,"ðŁıĿ":146829,"ðŁį¼":146830,"ãĮ§":146831,"âĿĽ":146832,"ðŁIJĪ":146833,"য":146834,"áĢŀ":146835,"ãĢĸ":146836,"áŀĻ":146837,"প":146838,"ÕĨ":146839,"âĬĨ":146840,"âľ¾":146841,"ðŁIJĹ":146842,"ﹿ":146843,"Ħ":146844,"ÜŁ":146845,"à²ł":146846,"ಥ":146847,"áŀī":146848,"á´¥":146849,"á´©":146850,"á½Ģ":146851,"ὡ":146852,"âĨķ":146853,"âŀ¯":146854,"ê¡ij":146855,"ëij£":146856,"ë±Į":146857,"ìĪij":146858,"ìľĶ":146859,"ìŀ½":146860,"ì¨į":146861,"ðĿijĢ":146862,"ðŁĮĮ":146863,"ðŁį¦":146864,"ðŁį©":146865,"ðŁIJļ":146866,"ðŁĵĴ":146867,"ðŁĵ¹":146868,"ðŁ¥ij":146869,"Äĭ":146870,"ËĹ":146871,"Ñ«":146872,"Õ¢":146873,"Ú°":146874,"âĮĢ":146875,"âĹĤ":146876,"âĹ£":146877,"⾼":146878,"âĿĴ":146879,"âĿĺ":146880,"âŀĻ":146881,"âŀ²":146882,"ãİį":146883,"ê¡IJ":146884,"ëŀĸ":146885,"ìĬĿ":146886,"ìĽ¤":146887,"ì¡ĭ":146888,"쨰":146889,"íĹĻ":146890,"兩":146891,"ï³į":146892,"ï»İ":146893,"ðĿijĵ":146894,"ðŁĵĬ":146895,"ðŁļ¼":146896,"ï¦ģ":146897,"ðĿķĴ":146898,"ðŁijľ":146899,"ðŁij¿":146900,"ðŁĩ½":146901,"à·Ħ":146902,"âĸ´":146903,"ãįī":146904,"âĬĩ":146905,"ðŁ§¸":146906,"Ú¡":146907,"â¾ĥ":146908,"ðŁĹ»":146909,"âĵij":146910,"ðŁ¤¸":146911,"ðŁ¤¯":146912,"êĴ°":146913,"ðĿIJĵ":146914,"âĶ´":146915,"êĴ±":146916,"áĢĺ":146917,"âĽĦ":146918,"ï¹¹":146919,"ÓĶ":146920,"áĥ±":146921,"Ü¡":146922,"ßŀ":146923,"âĻı":146924,"⾸":146925,"ìij¨":146926,"ðĿIJĿ":146927,"ðĿIJ¥":146928,"ðŁįī":146929,"ðŁij¼":146930,"ðŁ¥Ŀ":146931,"ÆĶ":146932,"ݬ":146933,"फ":146934,"àºļ":146935,"á´´":146936,"á½ĸ":146937,"âĤ¶":146938,"âİ¢":146939,"âĿħ":146940,"⣫":146941,"ãİĽ":146942,"뮨":146943,"ëºĮ":146944,"ë¼ĺ":146945,"ìĨĿ":146946,"ìľ³":146947,"ìŀĮ":146948,"ì£Ĺ":146949,"ìªĺ":146950,"컹":146951,"ï·¼":146952,"ïºĤ":146953,"ðĿIJ´":146954,"ðĿIJ¼":146955,"ðŁĮļ":146956,"ðŁı«":146957,"ðŁĴ¤":146958,"ðŁĴ¶":146959,"ðŁĴ¼":146960,"Êķ":146961,"ʽ":146962,"â²Ł":146963,"ãīł":146964,"ê¡Ĵ":146965,"ëľĢ":146966,"ìĥ¾":146967,"츤":146968,"ï¥ģ":146969,"ðĿļĬ":146970,"ðŁļĥ":146971,"âŀĽ":146972,"ìħ´":146973,"áĦĭ":146974,"âĩĹ":146975,"立":146976,"âĺĸ":146977,"ðŁIJ¦":146978,"⸾":146979,"ðŁĴ´":146980,"ðŁ¤ļ":146981,"ãĬĹ":146982,"âĮĽ":146983,"áĪĽ":146984,"༺":146985,"â½ī":146986,"ðŁı¢":146987,"âĵŀ":146988,"âĺ½":146989,"ãĢĻ":146990,"ðŁ¤®":146991,"ÅIJ":146992,"áĥ¬":146993,"ðĿĹ»":146994,"ðŁįĸ":146995,"ÆĬ":146996,"ÊŁ":146997,"ßĭ":146998,"à¤ĭ":146999,"áµĶ":147000,"á¿ĥ":147001,"âĦī":147002,"âĮĭ":147003,"âı²":147004,"âĵĪ":147005,"âĵ¢":147006,"âķĶ":147007,"âļij":147008,"âĿĭ":147009,"âĿİ":147010,"⵾":147011,"âµ£":147012,"ëĴĪ":147013,"ëľģ":147014,"ë¶ĩ":147015,"ìį»":147016,"ìĺŃ":147017,"짢":147018,"íĹĢ":147019,"ï§Ĭ":147020,"טּ":147021,"ﱡ":147022,"ðĿIJº":147023,"ðĿij§":147024,"ðĿĺ¦":147025,"ðŁĵ¥":147026,"ðŁĺŁ":147027,"ðŁ¥IJ":147028,"Äĸ":147029,"ɨ":147030,"áĢIJ":147031,"áĥĵ":147032,"áºĵ":147033,"ἶ":147034,"á½Ħ":147035,"âĤ¤":147036,"âĮľ":147037,"âĮŁ":147038,"âİł":147039,"⼸":147040,"âµį":147041,"âµı":147042,"âµĵ":147043,"ãĢĺ":147044,"ë·¸":147045,"íħ¼":147046,"ï¦Į":147047,"ïŃĦ":147048,"ïŃİ":147049,"ðĿĻļ":147050,"ðĿļĺ":147051,"à¼ĵ":147052,"ëŃħ":147053,"áIJĽ":147054,"ãݾ":147055,"ï¨Ģ":147056,"ðŁĹ½":147057,"âĻŀ":147058,"Ëĸ":147059,"âĹŀ":147060,"ðŁ¤«":147061,"ðŁĺĹ":147062,"ｦ":147063,"ðŁ¤¢":147064,"âģĩ":147065,"ãĢµ":147066,"ðŁįĶ":147067,"áĬł":147068,"ðŁĺ¼":147069,"ðĿĹ®":147070,"ðŁIJ³":147071,"ðĿIJĭ":147072,"ðŁĨļ":147073,"ðŁĶĽ":147074,"Ñ»":147075,"ܨ":147076,"ல":147077,"âľŀ":147078,"âµĻ":147079,"êµ£":147080,"츨":147081,"ðĿIJľ":147082,"ðĿĺ°":147083,"ðŁĶ½":147084,"Ç»":147085,"Ç¿":147086,"Êĩ":147087,"ÎIJ":147088,"ÐĢ":147089,"Ñ¡":147090,"Ѳ":147091,"ÒĴ":147092,"Ù¶":147093,"ßķ":147094,"න":147095,"áIJģ":147096,"âģŀ":147097,"âĸ§":147098,"âĽĪ":147099,"âľľ":147100,"âľ¹":147101,"âŁ¹":147102,"â¤ĩ":147103,"ê²Ĭ":147104,"ê¾ľ":147105,"ë¯IJ":147106,"ë³IJ":147107,"ìħ©":147108,"ìIJ¬":147109,"ìij¹":147110,"ï¤Ķ":147111,"ï¦ļ":147112,"ï¬ł":147113,"ïŃĶ":147114,"ﺶ":147115,"ðĿĴı":147116,"ðĿĸĨ":147117,"ðĿŶ":147118,"ðŁıĤ":147119,"ðŁIJ½":147120,"ðŁĴ©":147121,"ðŁĵ½":147122,"ðŁĹ¨":147123,"ðŁĹº":147124,"ðŁĺ¸":147125,"ðŁ¥§":147126,"ÅĹ":147127,"Êİ":147128,"ÒĻ":147129,"ײ":147130,"à¤Ī":147131,"á¼´":147132,"á¿ij":147133,"âµī":147134,"ãħĵ":147135,"ì½´":147136,"ðĿĸĵ":147137,"ðŁĵĹ":147138,"ðŁĶª":147139,"ðŁĸį":147140,"ÏĴ":147141,"ðŁij¬":147142,"áĥĻ":147143,"âĨ¬":147144,"âĶ¤":147145,"âĽ¹":147146,"âĻŁ":147147,"ðŁļ¶":147148,"ðŁij¾":147149,"âĪĭ":147150,"ðŁIJ¯":147151,"à¼İ":147152,"âľ·":147153,"ï¨Ļ":147154,"âĶ»":147155,"ðŁij¹":147156,"áĦī":147157,"ສ":147158,"â¾ı":147159,"â½ħ":147160,"ãİĸ":147161,"Ñ´":147162,"Õ®":147163,"Ú¼":147164,"áĢķ":147165,"áĨ¼":147166,"ëŃı":147167,"ðŁIJ¸":147168,"ðŁļ£":147169,"ÆĿ":147170,"Ô»":147171,"áĥ¢":147172,"ðŁį¯":147173,"ɦ":147174,"Õ¦":147175,"âĻĭ":147176,"שׂ":147177,"ðĿŦ":147178,"Çļ":147179,"ɱ":147180,"à¤ī":147181,"á´Ħ":147182,"âĻĵ":147183,"⼰":147184,"âŁª":147185,"ëĥĺ":147186,"뢸":147187,"ìĤij":147188,"ï®Ķ":147189,"ðĿķĸ":147190,"ðĿŧ":147191,"ðŁĩ¼":147192,"ðŁĵĭ":147193,"ðŁļľ":147194,"ðŁ¥¤":147195,"Ä®":147196,"Å·":147197,"ßĬ":147198,"॥":147199,"ப":147200,"áŀĦ":147201,"áµĢ":147202,"á¸ħ":147203,"á¼¢":147204,"âĪĿ":147205,"âĬ¹":147206,"âĴ¶":147207,"âķ´":147208,"⼱":147209,"âĽ³":147210,"âĽº":147211,"âŀŁ":147212,"ãıĦ":147213,"ê¸Ķ":147214,"ê¹Ł":147215,"ëĩ°":147216,"ë¹»":147217,"ìĤ¥":147218,"ìĽ»":147219,"ì°Ł":147220,"íĥ°":147221,"íĨº":147222,"íļ½":147223,"老":147224,"量":147225,"ï³Ŀ":147226,"ðĿIJ¦":147227,"ðĿĴľ":147228,"ðĿĴŁ":147229,"ðĿļĹ":147230,"ðŁİŃ":147231,"ðŁıĵ":147232,"ðŁı³":147233,"ðŁıº":147234,"ðŁIJį":147235,"ðŁijĥ":147236,"ðŁĴı":147237,"ðŁ¤ĸ":147238,"ðŁ¤µ":147239,"Õ²":147240,"âµĶ":147241,"ëĺ¬":147242,"念":147243,"ÊĤ":147244,"áĨ«":147245,"áŀij":147246,"ðĿĸİ":147247,"ðĿĹĸ":147248,"áĦĥ":147249,"âĩł":147250,"áĢ¡":147251,"à½Ħ":147252,"âŀ¸":147253,"ï¦Ļ":147254,"âĩļ":147255,"ðŁIJ¬":147256,"ðŁIJ¢":147257,"â¾Ĵ":147258,"ðŁIJ¤":147259,"ðŁĶ«":147260,"ãĢŀ":147261,"︺":147262,"ðŁĺº":147263,"â½´":147264,"ðŁĨķ":147265,"âģ¿":147266,"ðŁį¨":147267,"à²ķ":147268,"ðŁļĺ":147269,"áŀħ":147270,"à¦ħ":147271,"áŀ¢":147272,"à¨ľ":147273,"âļĮ":147274,"ãĢ½":147275,"à·´":147276,"âĵĽ":147277,"áĢľ":147278,"ìĨ¨":147279,"Ë©":147280,"ÜĹ":147281,"âĭ¼":147282,"ðŁĻī":147283,"ÅĬ":147284,"Éĵ":147285,"ʲ":147286,"ΰ":147287,"Ѽ":147288,"Ô¿":147289,"à¡IJ":147290,"à¼ľ":147291,"ས":147292,"ᶾ":147293,"âĤ²":147294,"âĨ¨":147295,"âĬ¥":147296,"âķ§":147297,"âĻľ":147298,"ãĭ¡":147299,"ë´¬":147300,"ë¶ij":147301,"ìī¿":147302,"ìİħ":147303,"ìł±":147304,"ì°§":147305,"ﲡ":147306,"ðĿĴĽ":147307,"ðĿķ£":147308,"ðĿĹľ":147309,"ðŁį²":147310,"ðŁİ©":147311,"ðŁIJIJ":147312,"ðŁIJł":147313,"ðŁij½":147314,"ðŁĴij":147315,"ðŁĵľ":147316,"ðŁķµ":147317,"ðŁļĮ":147318,"ðŁĽ£":147319,"Êĭ":147320,"Ó¯":147321,"Ù¸":147322,"ßĶ":147323,"ßĻ":147324,"à¡ĵ":147325,"á´į":147326,"ḿ":147327,"âıº":147328,"âĸ¥":147329,"뤽":147330,"íľij":147331,"ðĿIJ¹":147332,"ðĿĸĶ":147333,"ðĿļİ":147334,"ðŁĵĦ":147335,"ðŁ¦·":147336,"Æĥ":147337,"à¦Ł":147338,"âĮĤ":147339,"âĺŃ":147340,"â²ļ":147341,"ëĿķ":147342,"ðŁİ£":147343,"à®ĩ":147344,"à½Ĩ":147345,"áħµ":147346,"áĹľ":147347,"âĢ½":147348,"âĮ£":147349,"âģ½":147350,"ðŁĵ¬":147351,"ðŁ¤§":147352,"âĩª":147353,"â½£":147354,"âĹŁ":147355,"ï¨Ĺ":147356,"êĴª":147357,"ðŁĽĢ":147358,"ÇĤ":147359,"ðŁ¥¶":147360,"ðŁİį":147361,"ï¿©":147362,"ðŁijĴ":147363,"áµĪ":147364,"︿":147365,"áħ©":147366,"⾦":147367,"à°¤":147368,"á´ĸ":147369,"ਬ":147370,"àºĹ":147371,"༻":147372,"Ѻ":147373,"ਪ":147374,"á´³":147375,"ðĿIJĪ":147376,"à»Ģ":147377,"á´¿":147378,"âĤį":147379,"âĩ¡":147380,"âĽª":147381,"ðĿIJĤ":147382,"ðĿĴķ":147383,"ðŁIJľ":147384,"Êį":147385,"ѱ":147386,"à½ĥ":147387,"ë®IJ":147388,"ìĽ¡":147389,"ìľģ":147390,"ðĿIJ¿":147391,"ðĿķł":147392,"ðŁijĽ":147393,"ƪ":147394,"Ϻ":147395,"Ó¬":147396,"Ù¿":147397,"Ý£":147398,"àªī":147399,"ஹ":147400,"à½ij":147401,"áĨ¯":147402,"áµĩ":147403,"âĩ¥":147404,"âıª":147405,"âĻ°":147406,"âļŃ":147407,"âļ¾":147408,"ãħĦ":147409,"êĢ°":147410,"ê°Ĺ":147411,"ê²ĭ":147412,"ê²»":147413,"ê¶ľ":147414,"ê¼ĩ":147415,"ê½¹":147416,"ëĤŁ":147417,"ëħĪ":147418,"ëĭ¢":147419,"맣":147420,"ëªĨ":147421,"ëµĢ":147422,"ì½±":147423,"íĩĺ":147424,"íľľ":147425,"茶":147426,"ï±µ":147427,"ï²¢":147428,"ﲤ":147429,"ðĿĴĬ":147430,"ðĿĺ¯":147431,"ðŁįĹ":147432,"ðŁıį":147433,"ðŁIJĺ":147434,"ðŁĵ¡":147435,"ðŁĶŀ":147436,"ðŁ¤³":147437,"ðŁ¥ģ":147438,"ðŁ¥Ĺ":147439,"ðŁ¦Ĭ":147440,"ĵ":147441,"Ʀ":147442,"ǵ":147443,"ɯ":147444,"Îı":147445,"ÕĦ":147446,"Ü¥":147447,"à½ģ":147448,"ᨳ":147449,"âķ«":147450,"ãİī":147451,"ë·´":147452,"ìĨİ":147453,"ìİĮ":147454,"죵":147455,"íĽł":147456,"離":147457,"ï³ı":147458,"ﻺ":147459,"ðĿijģ":147460,"ðĿijĩ":147461,"ðĿĴĨ":147462,"ðŁİł":147463,"ðŁIJĶ":147464,"ðŁijŁ":147465,"Åĸ":147466,"à¤Į":147467,"á¾½":147468,"ê¦Ĵ":147469,"à®Ł":147470,"á´±":147471,"ðŁı°":147472,"ðŁIJŀ":147473,"à½Ģ":147474,"áĢħ":147475,"âĬ¿":147476,"ðŁIJ§":147477,"áĽģ":147478,"â¼Ī":147479,"âĶ¿":147480,"ðŁ¥´":147481,"⼿":147482,"ðŁ§ľ":147483,"ãħ¿":147484,"âĦ«":147485,"ãĢ³":147486,"ãĬĻ":147487,"â¼Ģ":147488,"怜":147489,"ðŁı¬":147490,"ðŁĵ»":147491,"áĬĽ":147492,"áĦħ":147493,"àºĬ":147494,"àºĽ":147495,"áħ³":147496,"ðŁij®":147497,"à®±":147498,"âĺĩ":147499,"ðĿIJı":147500,"à´µ":147501,"à»ģ":147502,"à½ı":147503,"ར":147504,"ᥱ":147505,"âĤ£":147506,"復":147507,"ïŃĻ":147508,"ï´©":147509,"ï¹Ĥ":147510,"ðŁį£":147511,"ðŁķ¹":147512,"Ïĸ":147513,"ම":147514,"ຢ":147515,"áĭŃ":147516,"âİĿ":147517,"âĹĿ":147518,"âĻĪ":147519,"âĻİ":147520,"ê½¥":147521,"ì³Ķ":147522,"ì¼ij":147523,"ï±°":147524,"ðĿijĥ":147525,"ðŁĮª":147526,"ðŁį¡":147527,"Åİ":147528,"ʦ":147529,"ѧ":147530,"Óİ":147531,"Ô´":147532,"ÚĪ":147533,"ßĵ":147534,"ߧ":147535,"à¤Ķ":147536,"áĪ«":147537,"áĪµ":147538,"áĹ©":147539,"á´ł":147540,"á¼ł":147541,"âĢĹ":147542,"âģij":147543,"âĦı":147544,"âĸĩ":147545,"â²£":147546,"ãĦ³":147547,"ãī®":147548,"ê³Ĺ":147549,"ëĦĴ":147550,"ëĸ«":147551,"ë¡Ħ":147552,"ë¹°":147553,"ë½ģ":147554,"ìĦģ":147555,"ìĮĺ":147556,"ìŁĮ":147557,"ì³ī":147558,"ì¼ķ":147559,"כּ":147560,"ï³İ":147561,"ﹸ":147562,"ï¹¾":147563,"ðĿIJĨ":147564,"ðĿij·":147565,"ðĿĽ¼":147566,"ðŁİı":147567,"ðŁİŀ":147568,"ðŁIJĻ":147569,"ðŁijĤ":147570,"ðŁĵģ":147571,"ðŁĸ±":147572,"ðŁļį":147573,"ðŁļ§":147574,"ðŁĽ¡":147575,"ðŁ¤Ĵ":147576,"ðŁ¥ŀ":147577,"ðŁ¥©":147578,"ðŁ¦Ģ":147579,"ðŁ¦ĸ":147580,"Ë¢":147581,"Üļ":147582,"வ":147583,"áĢģ":147584,"áī°":147585,"âıŃ":147586,"âĻ¿":147587,"ê³ĺ":147588,"ëıĿ":147589,"ëķĥ":147590,"ìħĮ":147591,"ìĴ¸":147592,"ìĽŁ":147593,"íħĦ":147594,"íľ«":147595,"ï§ĺ":147596,"￬":147597,"ðŁı·":147598,"ðŁĶ§":147599,"ðŁ¥Ī":147600,"Æĸ":147601,"áŀĩ":147602,"áŀĸ":147603,"âģº":147604,"âĹľ":147605,"âŀ©":147606,"ê¦Ń":147607,"ëĻ¤":147608,"ïŃ¼":147609,"ðĿĻĸ":147610,"ðĿĻ£":147611,"ðĿĻ¤":147612,"ðŁĮĿ":147613,"ðŁĶij":147614,"ðŁĽł":147615,"àºĩ":147616,"âĺ£":147617,"ãĦ¨":147618,"ðĿĸĹ":147619,"Óĵ":147620,"âĨ£":147621,"ðŁ¥ī":147622,"ðŁĮł":147623,"ðŁĺ½":147624,"ãİł":147625,"ŧ":147626,"ðŁIJĴ":147627,"ï§IJ":147628,"ðŁĺ¿":147629,"âĪ¬":147630,"ðŁIJ®":147631,"⣱":147632,"ಡ":147633,"â¾¼":147634,"à°²":147635,"˶":147636,"âĸ¿":147637,"ÕĪ":147638,"áŀİ":147639,"áħ¥":147640,"áŀĹ":147641,"Õ§":147642,"ðŁ¤IJ":147643,"ðŁįł":147644,"ত":147645,"ය":147646,"âĻį":147647,"ìĺĻ":147648,"íĺĵ":147649,"ﹺ":147650,"ðŁĽ³":147651,"Åī":147652,"á´İ":147653,"âıľ":147654,"âĶ³":147655,"긷":147656,"ì¡Ķ":147657,"ðĿĴĪ":147658,"ðĿĴį":147659,"ðĿĴ¹":147660,"ðĿĵĩ":147661,"ðĿķŁ":147662,"ðĿĹ¹":147663,"ðŁĮħ":147664,"ðŁı´":147665,"ÄĶ":147666,"Ĥ":147667,"ŵ":147668,"Ǿ":147669,"Ïŀ":147670,"϶":147671,"Ô³":147672,"ÜĨ":147673,"ß©":147674,"à¡Ĵ":147675,"à¤ĺ":147676,"à¶ļ":147677,"à½ĸ":147678,"áģĬ":147679,"áĥŀ":147680,"áĦĤ":147681,"áĭ«":147682,"á´º":147683,"ḣ":147684,"Ḫ":147685,"á¹Ĥ":147686,"á¼·":147687,"á¿ĩ":147688,"âĩĮ":147689,"âı¬":147690,"âĻĮ":147691,"⮣":147692,"â´»":147693,"ⵣ":147694,"ê¦ķ":147695,"ꦪ":147696,"ꦮ":147697,"ê²Ħ":147698,"ê¾IJ":147699,"ëĥij":147700,"ëķĭ":147701,"롸":147702,"ë¬Ģ":147703,"ìĩ¤":147704,"ìĪ©":147705,"ìľķ":147706,"ìŃĺ":147707,"ì·°":147708,"ì·¸":147709,"íľĢ":147710,"藍":147711,"ï§į":147712,"ï±Ħ":147713,"ï³ij":147714,"ðĿIJ¤":147715,"ðĿĴĵ":147716,"ðĿĴ¶":147717,"ðĿĹ¼":147718,"ðĿĻĬ":147719,"ðŁĩ¾":147720,"ðŁĮĽ":147721,"ðŁĮ®":147722,"ðŁİĩ":147723,"ðŁİ²":147724,"ðŁıĽ":147725,"ðŁij¥":147726,"ðŁij´":147727,"ðŁĴĨ":147728,"ðŁĵĤ":147729,"ðŁĵ§":147730,"ðŁķIJ":147731,"ðŁĸķ":147732,"ðŁĺ§":147733,"ðŁĻĢ":147734,"ðŁļĴ":147735,"ðŁĽ«":147736,"ðŁ¤ł":147737,"ðŁ¥ļ":147738,"ðŁ¥Ľ":147739,"ðŁ¥£":147740,"ǯ":147741,"ȧ":147742,"ÎĬ":147743,"Ò²":147744,"×°":147745,"Ûij":147746,"áĥ©":147747,"áĦĮ":147748,"áĪį":147749,"áī¥":147750,"áıĤ":147751,"âģ±":147752,"âĬ¢":147753,"âĹĵ":147754,"âĿ°":147755,"ë¿¡":147756,"ìĽ©":147757,"íģŃ":147758,"íĨ³":147759,"íĬĦ":147760,"íĵ¸":147761,"北":147762,"若":147763,"ï±IJ":147764,"ﱯ":147765,"ï³ļ":147766,"ðĿĸĺ":147767,"ðĿĺĢ":147768,"ðŁIJĬ":147769,"ðŁIJĮ":147770,"ðŁijļ":147771,"ðŁĵĥ":147772,"ðŁļĽ":147773,"ðŁļª":147774,"ðŁ¤°":147775,"Ä´":147776,"áĥ®":147777,"áŨ":147778,"âĻ®":147779,"â²ŀ":147780,"ãĪĶ":147781,"ìħį":147782,"ãħĥ":147783,"率":147784,"ມ":147785,"Õİ":147786,"Õº":147787,"⬼":147788,"⽤":147789,"ðĿIJ²":147790,"âŀµ":147791,"áĢĽ":147792,"âĶħ":147793,"âĨŁ":147794,"â¼Ĭ":147795,"ðŁĮ½":147796,"ðŁļ¿":147797,"ï¦Ĭ":147798,"ãĦ£":147799,"⼩":147800,"ï©Ľ":147801,"ðŁį±":147802,"⾨":147803,"à´¤":147804,"áŀģ":147805,"àºŀ":147806,"Êļ":147807,"ðĿIJĴ":147808,"à´±":147809,"áŀľ":147810,"ன":147811,"à°Ĺ":147812,"à´ļ":147813,"âĩ£":147814,"ï¦ķ":147815,"Õħ":147816,"Æĺ":147817,"âĤ¦":147818,"âĶĦ":147819,"ï¦Ł":147820,"嶺":147821,"ðĿIJģ":147822,"ðĿIJĥ":147823,"ðŁį¸":147824,"ðŁIJ²":147825,"Ŷ":147826,"Éĸ":147827,"ßĺ":147828,"ฦ":147829,"à½Ķ":147830,"áĨ·":147831,"âģķ":147832,"âĵĤ":147833,"âĿľ":147834,"便":147835,"אַ":147836,"ðĿĹĿ":147837,"ðĿĹ¿":147838,"ðŁİ¾":147839,"ðŁĹĿ":147840,"ðŁ¦Į":147841,"Æħ":147842,"Ǫ":147843,"ÒĹ":147844,"ÜĽ":147845,"ßł":147846,"à¡ij":147847,"áī£":147848,"áĬŃ":147849,"ṡ":147850,"âŀ¼":147851,"âŀ¾":147852,"â´±":147853,"ãī¡":147854,"곯":147855,"ë½Ī":147856,"ìĤĺ":147857,"ìīij":147858,"ì«ĺ":147859,"íĮĥ":147860,"íĻ°":147861,"ï¤Ĺ":147862,"ðŁĮ¬":147863,"ðŁĮ°":147864,"ðŁį¤":147865,"Ä»":147866,"Åĩ":147867,"ƨ":147868,"Éķ":147869,"Ò¢":147870,"Òº":147871,"Öį":147872,"×±":147873,"Ú±":147874,"Ú½":147875,"ÛIJ":147876,"à¤Ľ":147877,"à·Ģ":147878,"à¹ļ":147879,"ຫ":147880,"á´¹":147881,"á½Ķ":147882,"á¾³":147883,"âĤĴ":147884,"âĨ´":147885,"âĩĿ":147886,"âīħ":147887,"âĮ¨":147888,"âĵĵ":147889,"âĸ¢":147890,"âļ¬":147891,"âŀŃ":147892,"â²Ĵ":147893,"ãİ¿":147894,"ê¿´":147895,"ëĪ±":147896,"ëį¬":147897,"ëİIJ":147898,"ëIJ«":147899,"ëĶ«":147900,"ë±ģ":147901,"ìĥ¥":147902,"íĮ¼":147903,"ïŃĵ":147904,"ﮥ":147905,"ï²°":147906,"ðĿIJĩ":147907,"ðĿIJij":147908,"ðĿijĮ":147909,"ðĿĵª":147910,"ðĿķļ":147911,"ðĿĺª":147912,"ðĿĺ¼":147913,"ðĿļĽ":147914,"ðŁĩ¶":147915,"ðŁĮĦ":147916,"ðŁĮķ":147917,"ðŁĮ¤":147918,"ðŁĮ§":147919,"ðŁį¬":147920,"ðŁİĭ":147921,"ðŁİ»":147922,"ðŁı¨":147923,"ðŁIJĩ":147924,"ðŁijĵ":147925,"ðŁĵIJ":147926,"ðŁĵĻ":147927,"ðŁĶ¼":147928,"ðŁķĴ":147929,"ðŁĸı":147930,"ðŁĸ¥":147931,"ðŁ¤¬":147932,"ðŁ¥Ĭ":147933,"ðŁ¥Ĵ":147934,"ßĮ":147935,"àºĦ":147936,"á¼µ":147937,"âķ¡":147938,"Ⲥ":147939,"â´¼":147940,"âµ¢":147941,"ãĪ¯":147942,"ëĵ¸":147943,"ëŁĩ":147944,"ëºį":147945,"ðĿĻ§":147946,"ðŁįĪ":147947,"ðŁĶ¬":147948,"ðŁĸĬ":147949,"ðŁ¤¾":147950,"Ë¡":147951,"Ü©":147952,"âĮ¡":147953,"âŃij":147954,"Ⲧ":147955,"ë©ī":147956,"ì¼Ń":147957,"￤":147958,"ðĿĴİ":147959,"ðĿĹ¥":147960,"ðŁIJµ":147961,"ðŁķ¶":147962,"ðŁķ¸":147963,"ðŁ¤ľ":147964,"Õª":147965,"áĪĭ":147966,"ðŁ¥µ":147967,"ï°ģ":147968,"áµIJ":147969,"âķĵ":147970,"áĢĸ":147971,"âĭĪ":147972,"Éŀ":147973,"âŀ®":147974,"॰":147975,"ãĨģ":147976,"ðŁĴ±":147977,"ðŁıŃ":147978,"áĨ¨":147979,"ðŁįļ":147980,"ðŁ¦IJ":147981,"á´»":147982,"âĺĮ":147983,"à´ķ":147984,"Õ±":147985,"áħ®":147986,"ðĿIJĮ":147987,"Ŧ":147988,"àºķ":147989,"âľĻ":147990,"˳":147991,"Ôµ":147992,"âķĴ":147993,"ðĿĹĹ":147994,"ðĿĹł":147995,"Úļ":147996,"ধ":147997,"âĨĿ":147998,"âĻī":147999,"ãĮ»":148000,"ì¹Ĭ":148001,"ðĿĹº":148002,"ðŁ§ĺ":148003,"ì³£":148004,"ï¬Ŀ":148005,"ðŁijº":148006,"ÇŁ":148007,"ÎĪ":148008,"Ϋ":148009,"Ñ¥":148010,"Ô²":148011,"Õ¨":148012,"ܦ":148013,"à¦Ĩ":148014,"থ":148015,"áIJ¢":148016,"á¼ģ":148017,"á¼ĺ":148018,"ἦ":148019,"âĵĿ":148020,"ãĪ°":148021,"ãİĹ":148022,"겡":148023,"ë¨Ģ":148024,"ì£Ķ":148025,"ì´¤":148026,"ìµĿ":148027,"林":148028,"ïŃĬ":148029,"ï²Ł":148030,"ðĿIJ·":148031,"ðĿijĭ":148032,"ðĿĵī":148033,"ðĿĺµ":148034,"ðŁĴ·":148035,"ðŁĽ©":148036,"ðŁ§¹":148037,"ÅĶ":148038,"Êŀ":148039,"Ë¥":148040,"ÎĮ":148041,"Ñ©":148042,"ÓIJ":148043,"Ół":148044,"Úij":148045,"ÚĴ":148046,"ߨ":148047,"àªĪ":148048,"áIJĥ":148049,"ṯ":148050,"âĤĭ":148051,"âĤµ":148052,"âĦħ":148053,"âĦł":148054,"âĪ£":148055,"âīº":148056,"âī»":148057,"âĬĽ":148058,"âĮIJ":148059,"âİĵ":148060,"âĺ¸":148061,"âĻĴ":148062,"âļĴ":148063,"âľĩ":148064,"âľł":148065,"â´·":148066,"âµĸ":148067,"ãĦ¸":148068,"ãī¢":148069,"ãī°":148070,"êĩ´":148071,"ê´¸":148072,"êºł":148073,"ëĤı":148074,"ëĤ¢":148075,"ëIJĢ":148076,"뺴":148077,"ìĥľ":148078,"ìįħ":148079,"줫":148080,"챦":148081,"ìºij":148082,"ì¼ģ":148083,"쿳":148084,"íĤģ":148085,"íħ¡":148086,"íĴĤ":148087,"íĴī":148088,"íľĦ":148089,"ïŃª":148090,"ﮬ":148091,"ﯦ":148092,"ﱪ":148093,"ï²ı":148094,"ï´Ģ":148095,"ï»Ĩ":148096,"￦":148097,"ðĿijĹ":148098,"ðĿĸĻ":148099,"ðŁĮ¡":148100,"ðŁįĿ":148101,"ðŁį§":148102,"ðŁİ«":148103,"ðŁıĺ":148104,"ðŁıª":148105,"ðŁIJĭ":148106,"ðŁIJĽ":148107,"ðŁIJº":148108,"ðŁijĸ":148109,"ðŁijŀ":148110,"ðŁij·":148111,"ðŁĵĢ":148112,"ðŁĶĦ":148113,"ðŁĶĮ":148114,"ðŁķĻ":148115,"ðŁĻį":148116,"ðŁĻİ":148117,"ðŁ¦į":148118,"Ç°":148119,"ÉŁ":148120,"ÊĨ":148121,"Ô¼":148122,"Úľ":148123,"ড":148124,"শ":148125,"áĴĥ":148126,"Ἡ":148127,"âĵķ":148128,"â²Ī":148129,"ê°°":148130,"ê¹ł":148131,"êºħ":148132,"ëĦ¹":148133,"ë¯ĵ":148134,"íIJĪ":148135,"臨":148136,"ï®ij":148137,"ﲨ":148138,"ðĿĴī":148139,"ðĿĴĶ":148140,"ðĿŨ":148141,"ðĿĻŀ":148142,"ðĿļĴ":148143,"ðĿļķ":148144,"ðŁIJİ":148145,"ðŁ¤ķ":148146,"ðŁ§Ķ":148147,"Ï°":148148,"ÔĿ":148149,"âĮĬ":148150,"âĴ¾":148151,"ãī£":148152,"ïŃ©":148153,"ðĿļŀ":148154,"Êij":148155,"দ":148156,"áĦĩ":148157,"âīĥ":148158,"â²Ģ":148159,"ìŁİ":148160,"ðĿij¶":148161,"ðĿĵ²":148162,"ðŁİ·":148163,"ðŁļ¹":148164,"àºģ":148165,"áłł":148166,"ãĦļ":148167,"ðŁIJ¿":148168,"áĽļ":148169,"âķ³":148170,"ðŁIJŃ":148171,"âĴ¹":148172,"ðĿĸļ":148173,"âĻĸ":148174,"ãĪ²":148175,"âĨ¾":148176,"áĦĨ":148177,"âķĽ":148178,"ðŁ¤į":148179,"â½¥":148180,"ðŁĮ¨":148181,"âĪ®":148182,"ãĮĺ":148183,"ãįij":148184,"ï¹Ģ":148185,"âĵĹ":148186,"âĬĦ":148187,"ðŁı¹":148188,"ËĴ":148189,"ðŁ¤±":148190,"ãıľ":148191,"ðŁİĮ":148192,"ï¥Ń":148193,"ণ":148194,"ðŁİ¹":148195,"ãĬŁ":148196,"à´°":148197,"ðĿIJĶ":148198,"à´¨":148199,"à½ļ":148200,"âľº":148201,"Õ·":148202,"ðŁij³":148203,"à¦ľ":148204,"âĺĭ":148205,"âĻĬ":148206,"ãĢĽ":148207,"Èĭ":148208,"à®°":148209,"áĥ¨":148210,"âĦķ":148211,"íijĢ":148212,"ðĿĵĥ":148213,"ðŁ¦Ķ":148214,"Ä¿":148215,"ÅĢ":148216,"Ƴ":148217,"Éļ":148218,"Öĥ":148219,"Ü£":148220,"ߣ":148221,"à¦Ń":148222,"ৡ":148223,"ර":148224,"ຣ":148225,"à½ĩ":148226,"Ḩ":148227,"á½Ī":148228,"⽬":148229,"ê¡Ķ":148230,"ì³Ħ":148231,"ï¨ī":148232,"ðĿIJ¡":148233,"ðĿĺ¢":148234,"ðŁį¿":148235,"ðŁİŁ":148236,"ðŁıī":148237,"ðŁĶIJ":148238,"ðŁļħ":148239,"ðŁ¤½":148240,"Æį":148241,"Ç«":148242,"ǽ":148243,"Èļ":148244,"Îī":148245,"Ó¤":148246,"Óª":148247,"ÕĬ":148248,"Ù¼":148249,"Ú´":148250,"ßĿ":148251,"à¶ľ":148252,"á¼ķ":148253,"á¿¥":148254,"âİŀ":148255,"ãĢļ":148256,"ãī¤":148257,"곸":148258,"ê·ģ":148259,"ëĵĦ":148260,"ëĵķ":148261,"ì¨Ķ":148262,"챨":148263,"ðĿIJ¾":148264,"ðĿij»":148265,"ðĿĶ¼":148266,"ðĿķĿ":148267,"ðĿĺŃ":148268,"ðŁĨĻ":148269,"ðŁĵ¤":148270,"ðŁĶŁ":148271,"ðŁĹ¼":148272,"Äľ":148273,"Æģ":148274,"Æ¿":148275,"dz":148276,"Ç·":148277,"Éĥ":148278,"Éł":148279,"Êī":148280,"ʧ":148281,"˲":148282,"Ï´":148283,"Õģ":148284,"Õŀ":148285,"Öĩ":148286,"ÛĤ":148287,"Ûĵ":148288,"ßĹ":148289,"ߦ":148290,"হ":148291,"ள":148292,"à´¸":148293,"à»Ĥ":148294,"áĪĿ":148295,"áĪª":148296,"áĭµ":148297,"áIJĬ":148298,"áĴª":148299,"áļĸ":148300,"áŀĽ":148301,"á´¢":148302,"áµı":148303,"áµŃ":148304,"ᶫ":148305,"á¸ı":148306,"áºĴ":148307,"á¼¥":148308,"á½ķ":148309,"á½¼":148310,"âĤĬ":148311,"âĦĤ":148312,"âĦ©":148313,"âĩī":148314,"âī£":148315,"âĮł":148316,"âİŁ":148317,"âı®":148318,"âķĺ":148319,"âĹĸ":148320,"âĺ©":148321,"âĻij":148322,"âĻ²":148323,"âļĽ":148324,"ãĦŁ":148325,"ãī±":148326,"ãİļ":148327,"ê¡ķ":148328,"êªĸ":148329,"ê°¹":148330,"ê²Ĩ":148331,"êµĦ":148332,"ëĩ¬":148333,"ëĭ¯":148334,"ëıł":148335,"ëĴ¬":148336,"ëĸĪ":148337,"ëĸ½":148338,"ëĺĶ":148339,"ëŀ¸":148340,"ë¸ħ":148341,"뻳":148342,"ë¿Ł":148343,"ìĤµ":148344,"ìĬī":148345,"ìľ°":148346,"ìłĭ":148347,"ìłĶ":148348,"쥡":148349,"ìŃĿ":148350,"켬":148351,"íĪĩ":148352,"íīľ":148353,"íįĦ":148354,"íĽ¾":148355,"íĿ£":148356,"朗":148357,"勞":148358,"ï¦ľ":148359,"獵":148360,"ï§ľ":148361,"ï¨Ī":148362,"שׁ":148363,"הּ":148364,"ïŃ½":148365,"ï®ī":148366,"ï¯ŀ":148367,"ï°Ĵ":148368,"ï±ĩ":148369,"ï¿Ħ":148370,"ðĿIJħ":148371,"ðĿijĦ":148372,"ðĿijº":148373,"ðĿĴĹ":148374,"ðĿĵ®":148375,"ðĿķĽ":148376,"ðĿķŀ":148377,"ðĿĸij":148378,"ðĿĺģ":148379,"ðĿĺĨ":148380,"ðĿĺ¶":148381,"ðĿĻ¢":148382,"ðĿļľ":148383,"ðŁĮĥ":148384,"ðŁĮ¦":148385,"ðŁįŁ":148386,"ðŁİİ":148387,"ðŁıĻ":148388,"ðŁIJ©":148389,"ðŁIJ«":148390,"ðŁIJ´":148391,"ðŁijĶ":148392,"ðŁĵī":148393,"ðŁĵĽ":148394,"ðŁĶī":148395,"ðŁĸ¼":148396,"ðŁĹĥ":148397,"ðŁĹ¯":148398,"ðŁļĩ":148399,"ðŁļIJ":148400,"ðŁļµ":148401,"ðŁ¤¶":148402,"ðŁ¥ĭ":148403,"ðŁ¥ĵ":148404,"ðŁ¥®":148405,"ðŁ¦İ":148406,"ðŁ¦ł":148407,"ðŁ§Ĵ":148408,"ðŁ§¨":148409,"ÆIJ":148410,"Çį":148411,"ÓĢ":148412,"ÔĽ":148413,"ರ":148414,"à´Ļ":148415,"áĢĴ":148416,"ê²Ŀ":148417,"ê¹¹":148418,"ë©¥":148419,"ìĸĶ":148420,"ï¤ģ":148421,"ï¤ı":148422,"ï¦ī":148423,"ï¦ĵ":148424,"ï§ī":148425,"ï²Ŀ":148426,"ðĿĹŀ":148427,"ðĿű":148428,"ðŁĮĭ":148429,"ðŁį¶":148430,"à¦ļ":148431,"ìķľ":148432,"ðĿIJ¯":148433,"ðĿļĿ":148434,"à°¨":148435,"à½ĺ":148436,"à½ł":148437,"á¡¥":148438,"á¾°":148439,"âģį":148440,"âĶ°":148441,"⬾":148442,"ðĿIJł":148443,"ðĿij¯":148444,"ðĿĹĽ":148445,"ðĿĵ»":148446,"ðĿĸĪ":148447,"âŀ»":148448,"áŀł":148449,"⡱":148450,"â»ij":148451,"ðŁ§µ":148452,"廉":148453,"ðŁijĺ":148454,"ãĤĶ":148455,"â¼Ł":148456,"ãĬ¤":148457,"ï¦Ŀ":148458,"ãĮ¦":148459,"âĢ¸":148460,"ðŁĶĻ":148461,"ã¹":148462,"㹦":148463,"ï¹ħ":148464,"ï©Į":148465,"ãī¨":148466,"︽":148467,"âį¥":148468,"ðŁļī":148469,"ðŁ¥ľ":148470,"âĵľ":148471,"â»Ŀ":148472,"ï¨ľ":148473,"ðŁĴĴ":148474,"áĦij":148475,"â¾ŀ":148476,"ï¨ģ":148477,"à´ª":148478,"áĦİ":148479,"âŀ´":148480,"ষ":148481,"áħ¬":148482,"áŀ§":148483,"âĨ¢":148484,"âķ¦":148485,"âľij":148486,"ˬ":148487,"ÕIJ":148488,"à¼Ķ":148489,"ʤ":148490,"˨":148491,"à¤ŀ":148492,"à»ĥ":148493,"à¼ļ":148494,"âĵ¥":148495,"âķľ":148496,"ðŁIJĸ":148497,"á¼Ļ":148498,"ἤ":148499,"ìĨ°":148500,"ÈĤ":148501,"ʱ":148502,"à®ļ":148503,"áĥ§":148504,"á´ĭ":148505,"á´®":148506,"âĿ¡":148507,"âŀ·":148508,"ëĿ¡":148509,"梨":148510,"ﯡ":148511,"ðĿķķ":148512,"ðŁħ°":148513,"ðŁ¦¸":148514,"Ǹ":148515,"Óŀ":148516,"Ô¶":148517,"ÖĨ":148518,"Úģ":148519,"Ûĭ":148520,"áİ¥":148521,"᾿":148522,"âĶŃ":148523,"âĶ®":148524,"êĢĢ":148525,"ê±ĺ":148526,"ëIJŃ":148527,"ë½Ħ":148528,"ìĶIJ":148529,"ì¸Į":148530,"íģł":148531,"íĻ±":148532,"ï¥ī":148533,"ï¨ĸ":148534,"ðĿij´":148535,"ðĿĸĴ":148536,"ðĿĺ¨":148537,"ðĿļĮ":148538,"ðŁIJ¡":148539,"ðŁij¢":148540,"ðŁĵĶ":148541,"Åħ":148542,"Æİ":148543,"È©":148544,"Òª":148545,"Ôĥ":148546,"áĥ«":148547,"á¸ĩ":148548,"⼣":148549,"ê»Ń":148550,"ë¨Ħ":148551,"ìŁĢ":148552,"줴":148553,"íļIJ":148554,"盧":148555,"ðŁŁ¢":148556,"Ƨ":148557,"ȼ":148558,"ÊĿ":148559,"ËĦ":148560,"Ëħ":148561,"Ëį":148562,"˧":148563,"Ò¥":148564,"ÕĶ":148565,"Øı":148566,"ؼ":148567,"ßIJ":148568,"ßľ":148569,"à¤ĵ":148570,"à¦Ļ":148571,"à®ĵ":148572,"ප":148573,"à¼į":148574,"à¼Ĵ":148575,"ལ":148576,"áĢĤ":148577,"áĢĬ":148578,"áĦĦ":148579,"áĪĺ":148580,"áĭĬ":148581,"áĮį":148582,"áijĭ":148583,"áŀĤ":148584,"áł¢":148585,"á¡Ŀ":148586,"á´¦":148587,"áµį":148588,"ᵨ":148589,"ḡ":148590,"ḯ":148591,"á¼£":148592,"âģĤ":148593,"âĦĺ":148594,"âĦľ":148595,"âĦ³":148596,"âĦµ":148597,"âĨ¦":148598,"âĩĨ":148599,"âĪ·":148600,"âĬļ":148601,"âĮ«":148602,"âĮ¯":148603,"âİĽ":148604,"âİľ":148605,"âݤ":148606,"âݦ":148607,"âİ®":148608,"âijī":148609,"âĶī":148610,"âķĻ":148611,"âĸĤ":148612,"âĹŃ":148613,"âĺĬ":148614,"âĺį":148615,"âĺĴ":148616,"âļĨ":148617,"⼧":148618,"âĽ²":148619,"âŀĺ":148620,"â¥Ħ":148621,"â´³":148622,"â´½":148623,"âµĪ":148624,"ãī¯":148625,"ãİij":148626,"㧬":148627,"êĻ¬":148628,"ê§ģ":148629,"곬":148630,"ê´ŀ":148631,"ê»ľ":148632,"ëħĵ":148633,"ëĭ¼":148634,"ëįĸ":148635,"ëĸ±":148636,"ëĿ°":148637,"롹":148638,"뢴":148639,"ë£Ģ":148640,"뤳":148641,"ë¨ķ":148642,"ëŃ¥":148643,"ìĦ¶":148644,"ìħ¤":148645,"ìĮķ":148646,"ìįª":148647,"ìı©":148648,"ìĴĢ":148649,"ìĶ¯":148650,"ìĿĶ":148651,"ìĿľ":148652,"ìłŃ":148653,"짦":148654,"쨩":148655,"첬":148656,"ì³¥":148657,"켯":148658,"íĢ«":148659,"íĢŃ":148660,"íĥ¸":148661,"íĵģ":148662,"íķ¬":148663,"íŸ":148664,"íĽķ":148665,"íľŃ":148666,"íĿĹ":148667,"ï¤Į":148668,"浪":148669,"刺":148670,"ï¬Ħ":148671,"ï¬ħ":148672,"ïŃij":148673,"ïŃ«":148674,"ïŃº":148675,"ï®Ĥ":148676,"ﮢ":148677,"ﮨ":148678,"ï°İ":148679,"ï°ł":148680,"ï²£":148681,"ï³IJ":148682,"ï³Ĵ":148683,"ï³ĺ":148684,"ï³ľ":148685,"ï¹¼":148686,"￨":148687,"ðĿIJ©":148688,"ðĿĴļ":148689,"ðĿķĶ":148690,"ðĿķ¤":148691,"ðĿĸĮ":148692,"ðĿĹ£":148693,"ðĿĹ°":148694,"ðĿĹ´":148695,"ðĿĺĤ":148696,"ðĿĺ¥":148697,"ðĿĺ®":148698,"ðĿĺ¸":148699,"ðĿĻĢ":148700,"ðĿĽ¾":148701,"ðĿľı":148702,"ðŁĮģ":148703,"ðŁĮľ":148704,"ðŁĮ¥":148705,"ðŁĮ¯":148706,"ðŁįIJ":148707,"ðŁİĴ":148708,"ðŁıĶ":148709,"ðŁıķ":148710,"ðŁı®":148711,"ðŁIJĤ":148712,"ðŁIJī":148713,"ðŁIJ¹":148714,"ðŁĶķ":148715,"ðŁĶļ":148716,"ðŁķij":148717,"ðŁķ£":148718,"ðŁĹŀ":148719,"ðŁĹ¡":148720,"ðŁĹ¿":148721,"ðŁļĨ":148722,"ðŁļĬ":148723,"ðŁļĵ":148724,"ðŁļķ":148725,"ðŁļ¾":148726,"ðŁĽģ":148727,"ðŁĽİ":148728,"ðŁĽı":148729,"ðŁ¤´":148730,"ðŁ¥ķ":148731,"ðŁ¥ĸ":148732,"ðŁ¥ł":148733,"ðŁ¥¥":148734,"ðŁ¦Ĩ":148735,"ðŁ¦ī":148736,"ðŁ¦ļ":148737,"ðŁ§ij":148738,"ðŁ§¥":148739,"ðŁ§¿":148740,"Å°":148741,"ƺ":148742,"ɧ":148743,"àªĩ":148744,"ண":148745,"áĪĪ":148746,"áĬ¤":148747,"áĭ®":148748,"áĮĪ":148749,"áĮµ":148750,"ᥲ":148751,"âĵŁ":148752,"êĻ³":148753,"ê°Ĭ":148754,"ëķģ":148755,"ëķ¨":148756,"ìĬģ":148757,"例":148758,"גּ":148759,"ðĿĸį":148760,"ðĿĺĮ":148761,"ðĿĺ³":148762,"ðĿĻ©":148763,"ðŁįĻ":148764,"ðŁĸĸ":148765,"áī³":148766,"áĭ¨":148767,"áĸĩ":148768,"áŀĮ":148769,"ṧ":148770,"âķª":148771,"âŀļ":148772,"â²ĺ":148773,"êķ":148774,"êķ¥":148775,"路":148776,"ﮣ":148777,"ï¯ł":148778,"ðĿĴĸ":148779,"ðĿķĺ":148780,"ðĿĸĩ":148781,"ðĿĹŁ":148782,"ðĿĹª":148783,"ðĿĹ¯":148784,"ðĿĻł":148785,"ðŁĵı":148786,"à¦Ĺ":148787,"âĴ»":148788,"â²ł":148789,"ðĿĵµ":148790,"Ê£":148791,"à°ľ":148792,"áĬ¢":148793,"áŀIJ":148794,"ḷ":148795,"âĦĽ":148796,"âĩĢ":148797,"âĩĬ":148798,"êĴ¦":148799,"ê¦ł":148800,"ﮤ":148801,"ðŁįĽ":148802,"ðŁ¤Ľ":148803,"ᨾ":148804,"âŀº":148805,"áķ¯":148806,"áĽı":148807,"âĩĤ":148808,"âĶ¹":148809,"âĻĹ":148810,"ðŁĸ¨":148811,"ê¦ı":148812,"ર":148813,"áļ¨":148814,"ðŁ¤¥":148815,"ðŁ§¢":148816,"ãIJĤ":148817,"ãĦ¥":148818,"ðŁĸĮ":148819,"â¼Ĵ":148820,"ãĬ§":148821,"âį©":148822,"ðŁ¦ij":148823,"âĶ·":148824,"ï©IJ":148825,"ï©¡":148826,"ðĵĪ":148827,"ðĵĪĴ":148828,"â»Ħ":148829,"ï¨Ĵ":148830,"âĦª":148831,"Ò§":148832,"ÚĮ":148833,"âĢ¶":148834,"âºł":148835,"â»ģ":148836,"âĨ¸":148837,"áĦIJ":148838,"ãħIJ":148839,"à»Ħ":148840,"áĹª":148841,"âĨ¼":148842,"âĩĭ":148843,"âĩĺ":148844,"âĮij":148845,"âĸ©":148846,"ðĿIJĹ":148847,"ÄĬ":148848,"à¦ī":148849,"ìīł":148850,"ɤ":148851,"ßį":148852,"ßı":148853,"áµĹ":148854,"âĤ¥":148855,"âĵī":148856,"âĶł":148857,"âĶ¨":148858,"âķĦ":148859,"ä¤":148860,"ä¤Ģ":148861,"껸":148862,"ï®ģ":148863,"ðĵĤ":148864,"ðĵĤĥ":148865,"ðŁ¦ķ":148866,"ÆĽ":148867,"à¦ĩ":148868,"ãıĺ":148869,"﮼":148870,"Úĵ":148871,"ÚĿ":148872,"à¦ĵ":148873,"ද":148874,"á´ħ":148875,"á½Ļ":148876,"âģ¼":148877,"âĸİ":148878,"⼩":148879,"äĶ":148880,"äĶĢ":148881,"뻡":148882,"ìĽ½":148883,"íģĦ":148884,"良":148885,"ï±ī":148886,"ï¹»":148887,"ðĿĸĭ":148888,"ðĿĻĪ":148889,"ðĿĻª":148890,"ðĿĻ¶":148891,"ðŁIJĦ":148892,"ðŁIJĨ":148893,"áİ¢":148894,"á¸Į":148895,"âĿ´":148896,"ðŁı¸":148897,"ÈĿ":148898,"ɸ":148899,"Îħ":148900,"Ïľ":148901,"Ó¢":148902,"Õ¹":148903,"à´ħ":148904,"àºĪ":148905,"áĭ°":148906,"áijİ":148907,"áłµ":148908,"á¡ł":148909,"á´ī":148910,"ḵ":148911,"á¿´":148912,"âĵ£":148913,"âĶ¶":148914,"⽯":148915,"ê²¥":148916,"ê¿ĺ":148917,"ëģİ":148918,"ëİĪ":148919,"ëĶ¯":148920,"ë²°":148921,"ìĺ¯":148922,"ìĽ¸":148923,"ìŀĹ":148924,"ì§ĺ":148925,"쬬":148926,"ì·¬":148927,"íģħ":148928,"íĵĶ":148929,"íĽĿ":148930,"冷":148931,"魯":148932,"沈":148933,"ï¯ĸ":148934,"ðĿĵħ":148935,"ðĿĻĦ":148936,"ðŁĵ¶":148937,"ðŁĹĴ":148938,"ðŁ¥Ķ":148939,"ðŁ¥Ń":148940,"Å®":148941,"Å´":148942,"Æī":148943,"Æ«":148944,"Çģ":148945,"Ç£":148946,"Ǻ":148947,"Ǽ":148948,"Èį":148949,"ȯ":148950,"Éľ":148951,"ʬ":148952,"Ëģ":148953,"ˤ":148954,"˵":148955,"ÏĽ":148956,"Ò¤":148957,"Ò¬":148958,"Óı":148959,"ÓĽ":148960,"Ó¡":148961,"Ó³":148962,"ÔĮ":148963,"Ô¬":148964,"Õ³":148965,"Ù»":148966,"Úī":148967,"Ú§":148968,"Üľ":148969,"ߪ":148970,"à¤Ŀ":148971,"à¦Ľ":148972,"à¨Ĩ":148973,"àªķ":148974,"ડ":148975,"à®İ":148976,"à°¬":148977,"ൻ":148978,"ർ":148979,"à¶ł":148980,"à¶Ń":148981,"බ":148982,"à·Ĩ":148983,"༽":148984,"áĢļ":148985,"áħ¢":148986,"áĨ¸":148987,"áĪĢ":148988,"áĪķ":148989,"áĪ°":148990,"áī¡":148991,"áī¤":148992,"áĬ¦":148993,"áĬ«":148994,"áĭĭ":148995,"áĭį":148996,"áݯ":148997,"áijŃ":148998,"áķĹ":148999,"᣼":149000,"á¥Ĵ":149001,"á©ī":149002,"áŃº":149003,"á´¡":149004,"áµĺ":149005,"ᵼ":149006,"ᶳ":149007,"á¸ģ":149008,"á¸ĭ":149009,"á¹Ļ":149010,"á¹Ŀ":149011,"Ṧ":149012,"áºħ":149013,"á¼Ĥ":149014,"á½ĥ":149015,"á½į":149016,"ὧ":149017,"á¾·":149018,"âĢµ":149019,"âĤİ":149020,"âĦĿ":149021,"âħĢ":149022,"âĨŀ":149023,"âĨ§":149024,"âĩħ":149025,"âĪĥ":149026,"âīı":149027,"âī½":149028,"âĬŀ":149029,"âĬ¡":149030,"âĬ§":149031,"âĬ¶":149032,"âĭĦ":149033,"âİĴ":149034,"âİ¡":149035,"âİ£":149036,"âݪ":149037,"âıİ":149038,"âĵĥ":149039,"âĵĸ":149040,"âĵ¨":149041,"âķĭ":149042,"âķĸ":149043,"âķ¢":149044,"âķ²":149045,"âĸĨ":149046,"âĸĬ":149047,"âĸį":149048,"âĸ®":149049,"âĺ¡":149050,"âĺ¦":149051,"âĺ±":149052,"âĺ¿":149053,"âĻĺ":149054,"âĻĿ":149055,"âļ°":149056,"âĽij":149057,"âŀª":149058,"â¤Ŀ":149059,"⤢":149060,"⤷":149061,"⧫":149062,"â¨Ń":149063,"⨯":149064,"â±£":149065,"â²İ":149066,"⵼":149067,"ãħĶ":149068,"ãĪı":149069,"ãī²":149070,"ãī³":149071,"ãĬij":149072,"ãĭĽ":149073,"ãİIJ":149074,"겤":149075,"ê·¿":149076,"ê¹ŀ":149077,"껨":149078,"ê¼į":149079,"꿸":149080,"ëĥ¬":149081,"ëĩIJ":149082,"ëĭł":149083,"ëį¯":149084,"ëĹĮ":149085,"ëĹij":149086,"ë¥Ģ":149087,"ëªĥ":149088,"몯":149089,"뱡":149090,"ë³ĵ":149091,"ë³½":149092,"뵾":149093,"ìĤ³":149094,"ìħ¥":149095,"ìĩ½":149096,"ìı¨":149097,"ìı¸":149098,"ìķį":149099,"ìĸĸ":149100,"ìŁ¨":149101,"ì¢ĥ":149102,"ì¢į":149103,"ì¥ij":149104,"짼":149105,"ì©ĥ":149106,"ì®ľ":149107,"쮸":149108,"ì³ij":149109,"ì´¥":149110,"ì¾ĥ":149111,"íħ¦":149112,"íĪ¿":149113,"íĵ½":149114,"íķ³":149115,"íĸı":149116,"íĹł":149117,"íĿ«":149118,"ï¤ĵ":149119,"ï¤ĺ":149120,"ï¥İ":149121,"略":149122,"ï¦ħ":149123,"尿":149124,"ï§ĩ":149125,"ï¬Ĩ":149126,"דּ":149127,"ï®ĩ":149128,"ï®Ī":149129,"ï®Ŀ":149130,"ﮩ":149131,"ï®±":149132,"ï¯ĺ":149133,"ï¯Ļ":149134,"ﯢ":149135,"ﯣ":149136,"ﯤ":149137,"ﯥ":149138,"ï±Ĥ":149139,"ï²Ĩ":149140,"ﲪ":149141,"ï´¼":149142,"ïºī":149143,"ïºĬ":149144,"ﺥ":149145,"ðĿij¨":149146,"ðĿij©":149147,"ðĿij²":149148,"ðĿĴĮ":149149,"ðĿĴª":149150,"ðĿĴ®":149151,"ðĿĵĤ":149152,"ðĿĵĪ":149153,"ðĿĵ¯":149154,"ðĿĶ¨":149155,"ðĿķĢ":149156,"ðĿķĨ":149157,"ðĿķ¦":149158,"ðĿķ§":149159,"ðĿķ«":149160,"ðĿķ·":149161,"ðĿŵ":149162,"ðĿŸ":149163,"ðĿĺĦ":149164,"ðĿĺĻ":149165,"ðĿĺł":149166,"ðĿĺ¬":149167,"ðĿĻį":149168,"ðĿĻij":149169,"ðĿĻ¡":149170,"ðĿĻ¨":149171,"ðĿĻ·":149172,"ðĿļį":149173,"ðĿĽ¿":149174,"ðŁĥ":149175,"ðŁĥı":149176,"ðŁħĺ":149177,"ðŁī":149178,"ðŁīij":149179,"ðŁİ¡":149180,"ðŁİª":149181,"ðŁİ±":149182,"ðŁİ³":149183,"ðŁİº":149184,"ðŁıİ":149185,"ðŁıĹ":149186,"ðŁıļ":149187,"ðŁıŀ":149188,"ðŁı¦":149189,"ðŁı§":149190,"ðŁIJģ":149191,"ðŁIJħ":149192,"ðŁIJĵ":149193,"ðŁĴĤ":149194,"ðŁĵij":149195,"ðŁĵĵ":149196,"ðŁĵ¨":149197,"ðŁĵ«":149198,"ðŁĶĭ":149199,"ðŁĶŃ":149200,"ðŁĶ¯":149201,"ðŁķĹ":149202,"ðŁļĤ":149203,"ðŁļ¢":149204,"ðŁļ¦":149205,"ðŁļ¬":149206,"ðŁĽĭ":149207,"ðŁĽĮ":149208,"ðŁĽ¬":149209,"ðŁĽ¶":149210,"ðŁŁ¡":149211,"ðŁ¥ĺ":149212,"ðŁ¥Ł":149213,"ðŁ¥¦":149214,"ðŁ¦ĩ":149215,"ðŁ¦Ī":149216,"ðŁ§Ĭ":149217,"ðŁ§Ĺ":149218,"ðŁ§¤":149219,"Ê·":149220,"˹":149221,"á¹ļ":149222,"á½¥":149223,"âĦŁ":149224,"겯":149225,"껫":149226,"ë°·":149227,"ìĥĨ":149228,"ìĽĿ":149229,"ì¨ī":149230,"ì«ı":149231,"ï¯ķ":149232,"ðĿľĭ":149233,"ɲ":149234,"ÒŃ":149235,"ÓĪ":149236,"à½Ľ":149237,"áĭĵ":149238,"áĻŃ":149239,"áł©":149240,"á¹®":149241,"âĦĴ":149242,"âĨ»":149243,"âµĥ":149244,"ëĢ¨":149245,"볧":149246,"ìī¥":149247,"ìĮľ":149248,"ìŶ":149249,"ì¨Ī":149250,"쪾":149251,"íı½":149252,"íļĶ":149253,"íĽµ":149254,"露":149255,"ï¦IJ":149256,"ï§Ĺ":149257,"ï§ļ":149258,"אָ":149259,"ðĿIJĬ":149260,"ðĿķĹ":149261,"ðĿĹļ":149262,"ðĿļĸ":149263,"ðŁħ´":149264,"Èĥ":149265,"ÉĿ":149266,"ϱ":149267,"ÓĹ":149268,"ढ":149269,"áħł":149270,"áī¦":149271,"áijĮ":149272,"áĴ¼":149273,"áŀ¡":149274,"᳨":149275,"áłŃ":149276,"á¨ħ":149277,"á¨Ķ":149278,"á´ĺ":149279,"ᶦ":149280,"á¸İ":149281,"á¼ħ":149282,"á¼¹":149283,"âĨ¯":149284,"âĵİ":149285,"ãıĮ":149286,"êī":149287,"êīĤ":149288,"ëĨ§":149289,"ëĿ±":149290,"좡":149291,"íĪ½":149292,"ï¤ĩ":149293,"ï¤Ľ":149294,"ðĿIJķ":149295,"ðĿĵ¸":149296,"ðĿĵ¼":149297,"ðĿĹķ":149298,"ðĿĺĪ":149299,"ðŁı£":149300,"ðŁı¤":149301,"ðŁĹĦ":149302,"Ñ·":149303,"Òł":149304,"áµĸ":149305,"Ἠ":149306,"ë¬Ħ":149307,"ï°´":149308,"âĪ½":149309,"ÕŃ":149310,"Ú¹":149311,"à¥Ł":149312,"áĢĨ":149313,"áŀĴ":149314,"ãĢ¶":149315,"ꦫ":149316,"ï¸ĵ":149317,"ðĿIJĽ":149318,"ðĿĺĹ":149319,"ðŁıľ":149320,"ì«Ń":149321,"ðŁ§ŀ":149322,"à½Ĥ":149323,"âĨ¿":149324,"âĩı":149325,"âĵģ":149326,"âĶ§":149327,"âķģ":149328,"âķ¤":149329,"ê¦Ĺ":149330,"ꦤ":149331,"ðŁıĪ":149332,"áŀķ":149333,"Ô½":149334,"àªĹ":149335,"à¬Ĩ":149336,"âķķ":149337,"ï½ł":149338,"⼦":149339,"⼯":149340,"â¾·":149341,"âĶĸ":149342,"à¬ĵ":149343,"âĺĹ":149344,"âįĭ":149345,"ï¨Ŀ":149346,"â¼¥":149347,"寧":149348,"âĦĬ":149349,"ãĢ´":149350,"âį¢":149351,"ð¡Ī":149352,"ð¡Ī½":149353,"難":149354,"ãĢ»":149355,"ãıĥ":149356,"說":149357,"ï¨ĺ":149358,"ðŁIJĥ":149359,"ðŁĨĸ":149360,"ðŁĹ¾":149361,"ãĦĩ":149362,"Þĭ":149363,"â¼¼":149364,"ï¨Ń":149365,"ÞĢ":149366,"ÞĦ":149367,"ÞĪ":149368,"ÞIJ":149369,"âĮĦ":149370,"â»ĺ":149371,"ãŁ¢":149372,"áħ§":149373,"ðIJĮ¿":149374,"Ë»":149375,"à²Ĺ":149376,"áĢĩ":149377,"áŀĬ":149378,"âķĩ":149379,"ãĩ¼":149380,"ãİ°":149381,"ÕĴ":149382,"ÜĪ":149383,"ߥ":149384,"à¿IJ":149385,"áĢŁ":149386,"âĨ¥":149387,"âķĮ":149388,"â½Ģ":149389,"â½°":149390,"â¾Ĭ":149391,"äĦ":149392,"äĦĢ":149393,"ðĵIJ":149394,"ðĵIJį":149395,"ðŁİ¦":149396,"âĤ¯":149397,"âĬĺ":149398,"âĦį":149399,"ʵ":149400,"Ѷ":149401,"Úĥ":149402,"à¦Ķ":149403,"à´¦":149404,"áݶ":149405,"áĵķ":149406,"Ṩ":149407,"âĤł":149408,"âĩ°":149409,"âĹĴ":149410,"â¿Ĭ":149411,"ê·±":149412,"ì¹ķ":149413,"íĪ©":149414,"ïŃĢ":149415,"ðĿĴ¸":149416,"ðĿĵĬ":149417,"ðĿĺ©":149418,"Ǧ":149419,"É«":149420,"áĬ¨":149421,"ȹ":149422,"ʯ":149423,"Ϊ":149424,"ÚĢ":149425,"áĮ¸":149426,"áİ»":149427,"áıķ":149428,"áı´":149429,"á²Ĥ":149430,"Ὠ":149431,"âıĿ":149432,"âĺĻ":149433,"ëĥ¨":149434,"ëĦ¼":149435,"ëĪĻ":149436,"ë£ħ":149437,"ìĶ¼":149438,"ìķĿ":149439,"ìļ¬":149440,"ìľ±":149441,"ï¥Ĥ":149442,"惡":149443,"יּ":149444,"ïŃģ":149445,"ï³Ī":149446,"ðĿĶħ":149447,"ðĿĺ¤":149448,"ðĿĻı":149449,"ðĿĻĻ":149450,"ðŁķī":149451,"ðŁ§Ļ":149452,"á¸ij":149453,"ê´¼":149454,"ëģį":149455,"ëĹ´":149456,"ëĿ³":149457,"ë°ŀ":149458,"ë°¢":149459,"ëµĺ":149460,"ìĤĶ":149461,"ìĦĦ":149462,"ì¼ļ":149463,"íĢł":149464,"íĬ±":149465,"íĮĸ":149466,"ï¤ij":149467,"領":149468,"隸":149469,"ï´į":149470,"ðĿĺ·":149471,"Ĭ":149472,"Ŭ":149473,"ÆĢ":149474,"Æĭ":149475,"Æľ":149476,"Çij":149477,"Çĺ":149478,"Çŀ":149479,"Ç¥":149480,"Ç®":149481,"É°":149482,"ɶ":149483,"É·":149484,"ɽ":149485,"ÊĪ":149486,"ÊIJ":149487,"Ëİ":149488,"ËŁ":149489,"˦":149490,"˯":149491,"ÏIJ":149492,"Ïĵ":149493,"Ï¢":149494,"Ϥ":149495,"Ϫ":149496,"ÏŃ":149497,"Ï®":149498,"Ï»":149499,"Ñł":149500,"ÑŃ":149501,"Ò¨":149502,"ÓĿ":149503,"Ô¡":149504,"Ô·":149505,"Õī":149506,"Õĵ":149507,"Õĸ":149508,"Õļ":149509,"ÕĿ":149510,"Öİ":149511,"Ø¿":149512,"Úħ":149513,"Úį":149514,"ÚĶ":149515,"ÛĬ":149516,"Û¾":149517,"ÜĻ":149518,"ÝĴ":149519,"Ýĺ":149520,"ßĴ":149521,"ßĸ":149522,"à¤Ĭ":149523,"à¤IJ":149524,"à¦ı":149525,"à¦ĸ":149526,"à§Ł":149527,"મ":149528,"હ":149529,"à®ħ":149530,"à®Ĩ":149531,"à°¡":149532,"à°°":149533,"à²ļ":149534,"ಮ":149535,"ಯ":149536,"à´Ł":149537,"à´·":149538,"ൾ":149539,"à¶ij":149540,"à¶ŀ":149541,"༼":149542,"à½ĵ":149543,"áĢĵ":149544,"áĤ¦":149545,"áĥĸ":149546,"áĥŃ":149547,"áĥ¯":149548,"áħ¨":149549,"áħª":149550,"áĨ°":149551,"áĪģ":149552,"áĪİ":149553,"áĪĵ":149554,"áĪ¥":149555,"áĪ²":149556,"áĪ´":149557,"áĪ»":149558,"áīł":149559,"áī²":149560,"áī¶":149561,"áĬ£":149562,"áĬ¥":149563,"áĬª":149564,"áĭĺ":149565,"áĭ²":149566,"áĭ¶":149567,"áĮ£":149568,"áį¡":149569,"áį£":149570,"áݬ":149571,"áݾ":149572,"áIJ¡":149573,"áķķ":149574,"áĸ±":149575,"áĹIJ":149576,"áĹŃ":149577,"áĺī":149578,"áļ±":149579,"ἣ":149580,"áŀ¥":149581,"áŁĶ":149582,"áł£":149583,"áłª":149584,"áł°":149585,"áł´":149586,"á¤ĸ":149587,"ᥣ":149588,"á®":149589,"᮳":149590,"á¯":149591,"á¯Ļ":149592,"á°":149593,"á°į":149594,"á´Ĭ":149595,"á´¾":149596,"áµģ":149597,"áµİ":149598,"áµŀ":149599,"ᵤ":149600,"á¶ħ":149601,"á¶ĺ":149602,"ᶣ":149603,"ᶢ":149604,"ᶤ":149605,"ᶱ":149606,"ᶻ":149607,"á¸ī":149608,"á¸ŀ":149609,"Ḻ":149610,"á¹ĵ":149611,"á¹Ĺ":149612,"Ṫ":149613,"áºĬ":149614,"áºı":149615,"áºĽ":149616,"á¼ĥ":149617,"á¼Į":149618,"Ἷ":149619,"á½Ĥ":149620,"á½ĵ":149621,"á½Ĺ":149622,"ὦ":149623,"á¾±":149624,"á¾´":149625,"á¿ĺ":149626,"á¿Ł":149627,"Ὸ":149628,"âģĺ":149629,"âĤij":149630,"âĤĽ":149631,"âĤ¿":149632,"âĦĩ":149633,"âĦŀ":149634,"âĦ±":149635,"âĩŁ":149636,"âĩ²":149637,"âĪ¤":149638,"âĪ¶":149639,"âīĤ":149640,"âī¾":149641,"âĬ¨":149642,"âĬ³":149643,"âĬ·":149644,"âĭĮ":149645,"âĭĺ":149646,"âĮķ":149647,"âĮ¥":149648,"âĮµ":149649,"âĮº":149650,"âį£":149651,"âį²":149652,"âįµ":149653,"âİĩ":149654,"âıĥ":149655,"âıIJ":149656,"âıł":149657,"âı¤":149658,"âı¶":149659,"âı¸":149660,"âı¹":149661,"âijĤ":149662,"âĴ·":149663,"âĴº":149664,"âĵ¡":149665,"âĵ¤":149666,"âĶ¾":149667,"âĸĺ":149668,"âĸµ":149669,"âĹª":149670,"âĹ·":149671,"âĺ¨":149672,"âĺ«":149673,"âĺ²":149674,"âĺ³":149675,"âĻĨ":149676,"âļ¤":149677,"âļ¥":149678,"âĽĵ":149679,"⼴":149680,"âĽ¾":149681,"âŀ«":149682,"âŀ¿":149683,"⣷":149684,"â¤ij":149685,"⤫":149686,"⤶":149687,"⤽":149688,"⧪":149689,"â¨Ģ":149690,"⩽":149691,"⬡":149692,"⬢":149693,"⬤":149694,"â²ĸ":149695,"Ⲫ":149696,"âµĢ":149697,"⸮":149698,"⸽":149699,"ãĢł":149700,"ãĢ·":149701,"ãĦĮ":149702,"ãĦĺ":149703,"ãħij":149704,"ãĪİ":149705,"ãĪIJ":149706,"ãĬľ":149707,"ãĮĵ":149708,"ãĮł":149709,"ãİŁ":149710,"ãݤ":149711,"ãݧ":149712,"㬮":149713,"äĪ":149714,"äĪĢ":149715,"ä°":149716,"ä°Ģ":149717,"êħ":149718,"êħī":149719,"êĩĹ":149720,"êĪ":149721,"êĪį":149722,"ê§Ĥ":149723,"ê§Ĭ":149724,"êªĢ":149725,"ê²Ī":149726,"ê²į":149727,"ê³Ģ":149728,"êµł":149729,"ê½IJ":149730,"ê¾Ī":149731,"꿱":149732,"ëĥı":149733,"ëĦij":149734,"ëħ¤":149735,"ëĩ¸":149736,"ëĪ¼":149737,"ëīħ":149738,"ëĬ£":149739,"ëĭº":149740,"ëįŀ":149741,"ëIJĮ":149742,"ëķ¸":149743,"ëĺł":149744,"ëĻĩ":149745,"ëĻĪ":149746,"ëľ½":149747,"ëŀĶ":149748,"ëłľ":149749,"ë£IJ":149750,"ë§Ģ":149751,"ë§Ĭ":149752,"ëªĢ":149753,"ë¬Ń":149754,"믾":149755,"ë³ľ":149756,"ë´Ĭ":149757,"ëµī":149758,"ë·ľ":149759,"ë¸Ģ":149760,"ë¹ĭ":149761,"ìģĦ":149762,"ìĤ£":149763,"ìĤ»":149764,"ìĦµ":149765,"ìħĴ":149766,"ìīĪ":149767,"ìīĶ":149768,"ìĬĮ":149769,"ìĬĻ":149770,"ìIJ´":149771,"ìĵº":149772,"ìķļ":149773,"ìķº":149774,"ìĸľ":149775,"ìĹª":149776,"ìĺľ":149777,"ìĻ¤":149778,"ìļĽ":149779,"ìļº":149780,"ìĿħ":149781,"ìĿı":149782,"ìĿŃ":149783,"ìĿ¶":149784,"ìłĽ":149785,"ì¡Ī":149786,"ì¢ī":149787,"ì¢Ķ":149788,"ì©ł":149789,"ìŃĮ":149790,"쯩":149791,"ì´£":149792,"ì¸ķ":149793,"ì¹Ł":149794,"쾡":149795,"ì¿Ļ":149796,"íģĩ":149797,"íģī":149798,"íĩĢ":149799,"íĪ¶":149800,"íĸij":149801,"íĸ¤":149802,"íĹħ":149803,"íľı":149804,"íĿĿ":149805,"ï¤Ĵ":149806,"ï¤ķ":149807,"郎":149808,"ï¥ħ":149809,"ï¥ĩ":149810,"ï¥ı":149811,"ï¥ļ":149812,"ï¥Ł":149813,"ï¦Ħ":149814,"ï¦Ī":149815,"令":149816,"囹":149817,"零":149818,"ï§ģ":149819,"ï§ĥ":149820,"ï§Ķ":149821,"ï§ł":149822,"泥":149823,"燐":149824,"ïŃIJ":149825,"ïŃĸ":149826,"ïѦ":149827,"ïŃ´":149828,"ïѵ":149829,"ïѶ":149830,"ïѸ":149831,"ï®Į":149832,"ï®İ":149833,"ï®ŀ":149834,"ï®Ł":149835,"ﮡ":149836,"ﮪ":149837,"ï¯Ķ":149838,"ï¯Ĺ":149839,"ï¯ļ":149840,"ï¯Ľ":149841,"ï¯Ŀ":149842,"ï¯Ł":149843,"ﯧ":149844,"ﯨ":149845,"ﯫ":149846,"ﯯ":149847,"ﯰ":149848,"ﯱ":149849,"ﯲ":149850,"ﯳ":149851,"ﯴ":149852,"ﯵ":149853,"ﯶ":149854,"ï°Ģ":149855,"ï±ħ":149856,"ï±Ķ":149857,"ï±´":149858,"ï²ģ":149859,"ï³ķ":149860,"ï·½":149861,"ï¸ķ":149862,"︱":149863,"ï¹£":149864,"ï¹½":149865,"ï»į":149866,"ï¾±":149867,"ðĿIJĻ":149868,"ðĿIJ½":149869,"ðĿij¤":149870,"ðĿij®":149871,"ðĿijµ":149872,"ðĿĴĥ":149873,"ðĿĴĦ":149874,"ðĿĵŃ":149875,"ðĿĵ·":149876,"ðĿĶĸ":149877,"ðĿĶŀ":149878,"ðĿĶ¢":149879,"ðĿĶ¦":149880,"ðĿĶ¬":149881,"ðĿķĦ":149882,"ðĿķĬ":149883,"ðĿķİ":149884,"ðĿķĻ":149885,"ðĿķľ":149886,"ðĿķŃ":149887,"ðĿķ³":149888,"ðĿķ¸":149889,"ðĿķ¾":149890,"ðĿĸī":149891,"ðĿĸı":149892,"ðĿĺĩ":149893,"ðĿĺī":149894,"ðĿĺĸ":149895,"ðĿĺĽ":149896,"ðĿĺŀ":149897,"ðĿĺ«":149898,"ðĿĺ¾":149899,"ðĿĻĩ":149900,"ðĿĻī":149901,"ðĿĻĭ":149902,"ðĿĻİ":149903,"ðĿĻĺ":149904,"ðĿĻ¥":149905,"ðĿļĥ":149906,"ðĿļIJ":149907,"ðĿļĶ":149908,"ðĿľĥ":149909,"ðŁĦ·":149910,"ðŁħĿ":149911,"ðŁħ¾":149912,"ðŁĨĤ":149913,"ðŁĨĵ":149914,"ðŁĮĤ":149915,"ðŁĮĨ":149916,"ðŁĮī":149917,"ðŁĮij":149918,"ðŁĮĺ":149919,"ðŁĮ©":149920,"ðŁĮ«":149921,"ðŁį¢":149922,"ðŁį¥":149923,"ðŁİĽ":149924,"ðŁİ¢":149925,"ðŁİ´":149926,"ðŁij¡":149927,"ðŁĴ¾":149928,"ðŁĵŃ":149929,"ðŁĶĪ":149930,"ðŁĶ¦":149931,"ðŁĶ²":149932,"ðŁĶ³":149933,"ðŁķĵ":149934,"ðŁķķ":149935,"ðŁķĺ":149936,"ðŁķŁ":149937,"ðŁķ·":149938,"ðŁĹ³":149939,"ðŁļĦ":149940,"ðŁļĶ":149941,"ðŁļĸ":149942,"ðŁĽIJ":149943,"ðŁĽ¤":149944,"ðŁĽ¸":149945,"ðŁł":149946,"ðŁł³":149947,"ðŁ¤¹":149948,"ðŁ¥ĥ":149949,"ðŁ¥¨":149950,"ðŁ¥ª":149951,"ðŁ¥¾":149952,"ðŁ¦ĥ":149953,"ðŁ¦Ĵ":149954,"ðŁ¦Ļ":149955,"ðŁ¦¶":149956,"ðŁ§ł":149957,"ðŁ§ª":149958,"ðŁ§Ń":149959,"ðŁ§²":149960,"ð£·":149961,"ð£·Ń":149962,"ð¦ĺ":149963,"ð¦ĺĴ":149964,"Æij":149965,"ÇĻ":149966,"È®":149967,"Øł":149968,"ÚĦ":149969,"ÜĢ":149970,"ߢ":149971,"áīĢ":149972,"áĬIJ":149973,"áİł":149974,"áºŀ":149975,"ëĪŀ":149976,"ëķŁ":149977,"ë£ģ":149978,"ë¤Ĺ":149979,"ìĦ¥":149980,"ìħij":149981,"ìĸIJ":149982,"ìĽĽ":149983,"ì£ķ":149984,"íİı":149985,"íĽĵ":149986,"梁":149987,"ï³Ľ":149988,"ï´«":149989,"ðĸ§":149990,"ðĸ§·":149991,"ðĿķģ":149992,"ðŁIJª":149993,"ðŁĴĪ":149994,"ðŁĵł":149995,"ðŁķĽ":149996,"ðŁķ´":149997,"ÑĿ":149998,"ÓĬ":149999,"ॲ":150000,"પ":150001,"áĥ¤":150002,"áįIJ":150003,"ᶰ":150004,"á¼Ŀ":150005,"Ὡ":150006,"âĭĭ":150007,"âĴ½":150008,"âĻ¾":150009,"â½Ķ":150010,"⾯":150011,"ãĦĴ":150012,"ãħļ":150013,"ëIJį":150014,"ë·ģ":150015,"ìĭĢ":150016,"ìļĿ":150017,"쥰":150018,"캴":150019,"íĭī":150020,"íĿ½":150021,"ï¦Ģ":150022,"樂":150023,"ï§ħ":150024,"ï§ĵ":150025,"ïŃ¯":150026,"ï®Ĩ":150027,"ðIJ¤ķ":150028,"ðĿIJŁ":150029,"ðĿĴħ":150030,"ðĿĵľ":150031,"ðĿĶ°":150032,"ðĿĶ»":150033,"ðĿĺį":150034,"ðĿĻ¯":150035,"ðŁĦ½":150036,"ðŁħĤ":150037,"ðŁħĶ":150038,"ðŁħ½":150039,"ðŁĵ´":150040,"ðŁ§ĸ":150041,"ÓĴ":150042,"Ḳ":150043,"ëī¼":150044,"Çı":150045,"Èĵ":150046,"ʸ":150047,"ÕĤ":150048,"Ûħ":150049,"ß¡":150050,"ߣ":150051,"ய":150052,"à°Ī":150053,"ಸ":150054,"ຮ":150055,"à¼ķ":150056,"áĢİ":150057,"áĨ¡":150058,"áIJĭ":150059,"áIJķ":150060,"áij¯":150061,"áŀĨ":150062,"á¨ķ":150063,"á©Ī":150064,"âģħ":150065,"âĨļ":150066,"âĶİ":150067,"âł©":150068,"â²Ĥ":150069,"â²Ķ":150070,"Ⲩ":150071,"ãĬļ":150072,"íĵ²":150073,"ðĿijĪ":150074,"ðĿij¬":150075,"ðĿij¹":150076,"ðĿĴ¾":150077,"ðĿĵ±":150078,"ðĿĵ½":150079,"ðĿķ¯":150080,"ðĿķ»":150081,"ðĿĺ½":150082,"ðĿļĨ":150083,"ðŁĦ°":150084,"ðŁIJ¨":150085,"Òķ":150086,"à²ħ":150087,"ï¨Ĩ":150088,"ðĿij°":150089,"ðŁĦ¸":150090,"Ôİ":150091,"Øį":150092,"Ùµ":150093,"ಶ":150094,"áĢĪ":150095,"áĺĹ":150096,"᳸":150097,"á¡¡":150098,"ᨲ":150099,"á©ģ":150100,"á´·":150101,"ᵧ":150102,"âķ¨":150103,"âļģ":150104,"â¾Ŀ":150105,"ãĢ¼":150106,"ãĦı":150107,"êĴ«":150108,"ꦥ":150109,"ꦩ":150110,"ꦲ":150111,"ìĺ¼":150112,"íĵIJ":150113,"ðĵĩ":150114,"ðĵĩ¼":150115,"ðĿķ¿":150116,"ðŁĽ´":150117,"먾":150118,"ವ":150119,"à´İ":150120,"à¼Ģ":150121,"âĩĸ":150122,"ãĪ«":150123,"âĵĢ":150124,"áħ´":150125,"áļ¾":150126,"áĽŀ":150127,"Ἣ":150128,"ᥴ":150129,"âĨĽ":150130,"âĨ¶":150131,"âĩ¤":150132,"âķŁ":150133,"âĺ·":150134,"âļIJ":150135,"ðŁ§´":150136,"á¹³":150137,"âĶį":150138,"âĶĴ":150139,"âĶ©":150140,"âĶ¦":150141,"â¾µ":150142,"àªľ":150143,"ત":150144,"âĩĻ":150145,"âĶ±":150146,"âķĢ":150147,"â½Ĭ":150148,"ï½Ł":150149,"ଡ":150150,"ðł®":150151,"ðł®·":150152,"âķĥ":150153,"â°Ķ":150154,"ãĬ¦":150155,"ðŁİIJ":150156,"ãĩ°":150157,"â¼Ŀ":150158,"â¾Ķ":150159,"â½Ĵ":150160,"âłĴ":150161,"都":150162,"ï©Ĵ":150163,"免":150164,"ï©ĸ":150165,"ðĵı¸":150166,"ãĮĥ":150167,"ðĸ¤":150168,"ðĸ¤IJ":150169,"ï¦Ń":150170,"âĬħ":150171,"â¾³":150172,"ä´¥":150173,"ï©ķ":150174,"ðŁĮĶ":150175,"áŀĭ":150176,"âļį":150177,"â¼ĭ":150178,"ãİĺ":150179,"ðIJĮ²":150180,"É©":150181,"áİij":150182,"âĨ®":150183,"âĩĥ":150184,"âļİ":150185,"ãĩ±":150186,"ãĭ©":150187,"ãĮ¶":150188,"êĻª":150189,"ëݬ":150190,"ï¨IJ":150191,"ï¨Ľ":150192,"ï©Ĭ":150193,"ï©į":150194,"ðĵħ":150195,"ðĵħº":150196,"Ï¡":150197,"Èij":150198,"ÉĤ":150199,"Ôĵ":150200,"ßİ":150201,"à´§":150202,"áĢī":150203,"áĢĭ":150204,"áĢij":150205,"áĢł":150206,"áļĻ":150207,"á¨Ħ":150208,"ᨩ":150209,"ᨹ":150210,"á©ĵ":150211,"ᬾ":150212,"á´Ļ":150213,"áµij":150214,"âĤŃ":150215,"âĨ°":150216,"âľģ":150217,"â½IJ":150218,"ãĭ¯":150219,"ãĮ½":150220,"íĨ¢":150221,"錄":150222,"ðŁĤ":150223,"ðŁĤ»":150224,"ÈĴ":150225,"ͺ":150226,"Ô¥":150227,"Õij":150228,"Ú¶":150229,"à§İ":150230,"ථ":150231,"àºĸ":150232,"àºľ":150233,"ຽ":150234,"áĥ»":150235,"áħ¯":150236,"áĭŀ":150237,"áĸķ":150238,"á´Ī":150239,"á¶Ĩ":150240,"Ḿ":150241,"á¹¼":150242,"Ῠ":150243,"âĦĭ":150244,"âĦŃ":150245,"âĪ±":150246,"âĮĵ":150247,"âĶĩ":150248,"âĶ¢":150249,"â±®":150250,"â²Ħ":150251,"ãĩ¾":150252,"ãĪ¬":150253,"븡":150254,"ìIJī":150255,"íĻĽ":150256,"ðĿķª":150257,"ƹ":150258,"Ͳ":150259,"Óģ":150260,"Û¼":150261,"ফ":150262,"áħŁ":150263,"áīĨ":150264,"áįĪ":150265,"áºĸ":150266,"á½ī":150267,"âĶ¸":150268,"⽩":150269,"êľ":150270,"êľ¥":150271,"êµħ":150272,"ëĤĶ":150273,"ëĦł":150274,"ëĩĹ":150275,"ëĻĿ":150276,"ìļ¯":150277,"ìļ·":150278,"ìŁĽ":150279,"ì·IJ":150280,"íŁ¬":150281,"íŁ®":150282,"íŁ°":150283,"ï¦Ĩ":150284,"鈴":150285,"ï²ŀ":150286,"ﳤ":150287,"ï³¥":150288,"ðIJĮ¸":150289,"ðĿĶı":150290,"ðĿķ®":150291,"ðĿĺ£":150292,"à¦Ī":150293,"âıı":150294,"ãĦĸ":150295,"ê²ĩ":150296,"ëĸĺ":150297,"ëľ·":150298,"ëŀĴ":150299,"ë¡ĵ":150300,"ë¢ī":150301,"ë£ĥ":150302,"ë§ĭ":150303,"ë²ĭ":150304,"ìĤ·":150305,"ìĪķ":150306,"ìĮ¨":150307,"ìĵ»":150308,"ìĸĬ":150309,"ìĻ¬":150310,"ìĿ»":150311,"ì¦ģ":150312,"쵤":150313,"ì·ĥ":150314,"íĢľ":150315,"íħī":150316,"íįł":150317,"íıħ":150318,"íij±":150319,"íķķ":150320,"íĸł":150321,"íĿķ":150322,"ÆĻ":150323,"Æļ":150324,"Æŀ":150325,"Çĥ":150326,"ÇĬ":150327,"Çľ":150328,"Ǥ":150329,"ÇŃ":150330,"ǹ":150331,"ÈĢ":150332,"Èģ":150333,"Èħ":150334,"Èī":150335,"ÈĹ":150336,"ÈŁ":150337,"Ȥ":150338,"È¥":150339,"Ȩ":150340,"ȵ":150341,"Ⱥ":150342,"È»":150343,"ÉĮ":150344,"É®":150345,"Êħ":150346,"Ê¥":150347,"ʨ":150348,"Ëĵ":150349,"ËĶ":150350,"Ëł":150351,"Ë£":150352,"˸":150353,"Í´":150354,"ÏĹ":150355,"Ïĺ":150356,"ÏĻ":150357,"Ïļ":150358,"ÏĿ":150359,"Ϩ":150360,"Ϭ":150361,"Ͼ":150362,"Ï¿":150363,"Ѫ":150364,"ÒĢ":150365,"Òľ":150366,"Ò¼":150367,"Ò½":150368,"ÓĤ":150369,"Óħ":150370,"Óĩ":150371,"Óį":150372,"Óĸ":150373,"ÓŁ":150374,"Ó«":150375,"Ó±":150376,"ÔĨ":150377,"Ôĩ":150378,"Ôº":150379,"Õĭ":150380,"Öī":150381,"ØĪ":150382,"ØĬ":150383,"ؽ":150384,"ؾ":150385,"Ù·":150386,"ÚĤ":150387,"ÚĬ":150388,"Úĸ":150389,"ÚĹ":150390,"Ú£":150391,"Ú«":150392,"Ú¸":150393,"ÛĢ":150394,"Ûį":150395,"Û½":150396,"Üī":150397,"ܤ":150398,"ݧ":150399,"Ý´":150400,"Þĥ":150401,"Þ¤":150402,"Þ¥":150403,"ßļ":150404,"߼":150405,"ߤ":150406,"àłį":150407,"àłĵ":150408,"àł³":150409,"à¡¢":150410,"à¥ł":150411,"à§ł":150412,"৺":150413,"à¨Ĭ":150414,"à¨IJ":150415,"ਮ":150416,"ਯ":150417,"ਰ":150418,"ਸ":150419,"àªĨ":150420,"ળ":150421,"વ":150422,"ઽ":150423,"à¬Į":150424,"à¬ĺ":150425,"ଽ":150426,"à®ĥ":150427,"ஸ":150428,"à°Ĩ":150429,"à°ķ":150430,"à°¦":150431,"à²Ĩ":150432,"à²Ĭ":150433,"à²Į":150434,"à²IJ":150435,"à²Ľ":150436,"ತ":150437,"ದ":150438,"ಪ":150439,"ಲ":150440,"ಹ":150441,"à´Ĩ":150442,"à´ı":150443,"à´Ĺ":150444,"à´«":150445,"à´¹":150446,"ൺ":150447,"ൽ":150448,"à¶ħ":150449,"à¶Ĭ":150450,"à¶Ķ":150451,"ට":150452,"ණ":150453,"ධ":150454,"à¼Ħ":150455,"à¼ħ":150456,"à¼Ĭ":150457,"à½Ļ":150458,"ཡ":150459,"ཧ":150460,"à¿Ģ":150461,"à¿Ļ":150462,"áĢĿ":150463,"áĢ§":150464,"áĢ©":150465,"áĢ¿":150466,"áģµ":150467,"áĤģ":150468,"áĤ½":150469,"áĥĤ":150470,"áĥª":150471,"áĦĬ":150472,"áĦ¢":150473,"áħ¦":150474,"áħŃ":150475,"áĨ®":150476,"áĨ±":150477,"áĨ»":150478,"áĩ":150479,"áĩĤ":150480,"áĪħ":150481,"áĪī":150482,"áĪĮ":150483,"áĪIJ":150484,"áĪĴ":150485,"áĪĻ":150486,"áĪļ":150487,"áĪľ":150488,"áĪŀ":150489,"áĪ©":150490,"áĪ³":150491,"áĪº":150492,"áĪ½":150493,"áīħ":150494,"áī¢":150495,"áī±":150496,"áī´":150497,"áĬĥ":150498,"áĬį":150499,"áĬĸ":150500,"áĬ®":150501,"áĬ¸":150502,"áĭĽ":150503,"áĭĿ":150504,"áĭ³":150505,"áĮģ":150506,"áĮħ":150507,"áĮ¥":150508,"áĮ¦":150509,"áĮ¨":150510,"áįĬ":150511,"áįį":150512,"áįķ":150513,"áįĸ":150514,"áį¢":150515,"áį¤":150516,"áİĴ":150517,"áݪ":150518,"áıģ":150519,"áıIJ":150520,"áıŁ":150521,"áIJĤ":150522,"áIJĸ":150523,"áIJĿ":150524,"áIJŀ":150525,"áIJŁ":150526,"áIJł":150527,"áijĸ":150528,"áĴĭ":150529,"áĴį":150530,"áĴ¡":150531,"áĵ«":150532,"áĶķ":150533,"áķĭ":150534,"áķij":150535,"áķĻ":150536,"áķļ":150537,"áķĽ":150538,"áķ¤":150539,"áķ¦":150540,"áķ®":150541,"áķ¼":150542,"áĸĵ":150543,"áĹĹ":150544,"áĹ¢":150545,"áĹ¯":150546,"áĹ·":150547,"áĺĦ":150548,"áĺij":150549,"áĽĤ":150550,"áĽĻ":150551,"áŀį":150552,"áłĨ":150553,"áł¡":150554,"᳦":150555,"áł®":150556,"áł¯":150557,"áł²":150558,"áł·":150559,"á¡į":150560,"á¡ŀ":150561,"ᡤ":150562,"á¡´":150563,"ᡵ":150564,"á¤ĵ":150565,"á¥ĸ":150566,"ᥰ":150567,"ᨦ":150568,"ᨧ":150569,"ᨨ":150570,"ᨪ":150571,"ᨬ":150572,"ᨯ":150573,"ᨳ":150574,"ᨵ":150575,"á©ĥ":150576,"á¬ķ":150577,"áŃ£":150578,"á±":150579,"á±ļ":150580,"á²ł":150581,"á´ĵ":150582,"á´¶":150583,"áµĤ":150584,"áµĮ":150585,"áµ¥":150586,"áµ´":150587,"á¶ĩ":150588,"á¸Ī":150589,"ḳ":150590,"ḧ":150591,"Ḵ":150592,"Ḿ":150593,"á¹Ģ":150594,"á¹ĸ":150595,"á¹Ł":150596,"á¹ł":150597,"ṫ":150598,"á¹±":150599,"á¹·":150600,"ṿ":150601,"áºĦ":150602,"áºį":150603,"áºij":150604,"áºĹ":150605,"á¼ī":150606,"á¼ĵ":150607,"á¼Ń":150608,"á½ĭ":150609,"á½Ĵ":150610,"á½ł":150611,"á½£":150612,"á¾Ħ":150613,"á¾ı":150614,"á¾ij":150615,"á¾Ĺ":150616,"ᾦ":150617,"ᾧ":150618,"á¾¾":150619,"á¿Ħ":150620,"á¿ĵ":150621,"á¿¡":150622,"Ῥ":150623,"âģļ":150624,"âĤĮ":150625,"âĦģ":150626,"âĦĶ":150627,"âĦ£":150628,"âĦ§":150629,"âĦ¯":150630,"âĦ°":150631,"âĦ´":150632,"âħħ":150633,"âĨľ":150634,"âĨ«":150635,"âĨŃ":150636,"âĨ±":150637,"âĨ¹":150638,"âĨ½":150639,"âĩĩ":150640,"âĩľ":150641,"âĩµ":150642,"âĪī":150643,"âĪĬ":150644,"âĪĸ":150645,"âĪľ":150646,"âĪ¾":150647,"âīĢ":150648,"âīĭ":150649,"âīĮ":150650,"âīĵ":150651,"âīľ":150652,"âī´":150653,"âī¿":150654,"âĬĬ":150655,"âĬĭ":150656,"âĬĶ":150657,"âĬĸ":150658,"âĬ£":150659,"âĬ¦":150660,"âĭİ":150661,"âĭª":150662,"âĭ²":150663,"âĮ¦":150664,"âĮ§":150665,"âįº":150666,"âİĪ":150667,"âݨ":150668,"âݬ":150669,"âݳ":150670,"âݼ":150671,"âݾ":150672,"âıĮ":150673,"âıļ":150674,"âı«":150675,"âı¯":150676,"âıµ":150677,"âĴľ":150678,"âĴĿ":150679,"âĴ«":150680,"âĵĦ":150681,"âĵĬ":150682,"âĵĻ":150683,"âĵ©":150684,"âĶij":150685,"âĶĻ":150686,"âĶļ":150687,"âĶ¥":150688,"âķħ":150689,"âķī":150690,"âķį":150691,"âķı":150692,"âķŀ":150693,"âĸļ":150694,"âĸ¯":150695,"âĹĥ":150696,"âĹļ":150697,"âŬ":150698,"âĹ´":150699,"âĺĪ":150700,"âĺ¤":150701,"âĺ¥":150702,"âĺ§":150703,"âĺ¬":150704,"âĻģ":150705,"âĻ±":150706,"âļĥ":150707,"âļĦ":150708,"âļħ":150709,"âļı":150710,"âļļ":150711,"âļŀ":150712,"âļŁ":150713,"âļ±":150714,"âļ²":150715,"âľĢ":150716,"⾣":150717,"âľ¢":150718,"âĿµ":150719,"âŁ¡":150720,"⣦":150721,"⣧":150722,"âŁ³":150723,"âŁ¾":150724,"âŁ¿":150725,"âłĩ":150726,"â¤Ħ":150727,"⤺":150728,"â¥Ĥ":150729,"⥹":150730,"â§ī":150731,"⧼":150732,"⧽":150733,"â¨į":150734,"â¬Ĭ":150735,"⬣":150736,"âŃŀ":150737,"â®ŀ":150738,"⮳":150739,"â¯Ī":150740,"â¯ij":150741,"ⱳ":150742,"â±±":150743,"â²Ń":150744,"â´¹":150745,"âµķ":150746,"⸾":150747,"⺫":150748,"â¼Ĩ":150749,"â¼ł":150750,"â½Ł":150751,"â½¼":150752,"â¾Ľ":150753,"⾧":150754,"â¿ĥ":150755,"â¿»":150756,"ãĤķ":150757,"ãĤŁ":150758,"ãĦĽ":150759,"ãĦ¡":150760,"ãĦ¶":150761,"ãĦº":150762,"ãħĴ":150763,"ãħŁ":150764,"ãĨĢ":150765,"ãĩ»":150766,"ãĪij":150767,"ãĪŃ":150768,"ãĪ®":150769,"ãĪ³":150770,"ãĪ¹":150771,"ãī¥":150772,"ãī¦":150773,"ãī¹":150774,"ãī¿":150775,"ãĬŀ":150776,"ãĬ¨":150777,"ãĭij":150778,"ãĭ¥":150779,"ãĭ´":150780,"ãĭº":150781,"ãİĦ":150782,"ãİķ":150783,"ãݯ":150784,"ãıĤ":150785,"ãıĪ":150786,"ãıĵ":150787,"ãıĸ":150788,"ãı±":150789,"ãIJ±":150790,"ãŁģ":150791,"ã¢":150792,"㢨":150793,"ã¨":150794,"㨳":150795,"㫪":150796,"ã«´":150797,"㶳":150798,"㺾":150799,"äĢ":150800,"äĢĢ":150801,"äĭ":150802,"äĭĮ":150803,"äĮĢ":150804,"äIJĢ":150805,"äłĢ":150806,"äł":150807,"äł¼":150808,"ä§":150809,"ä§ŀ":150810,"䨰":150811,"䨺":150812,"ä´Ģ":150813,"ä·":150814,"ä·ħ":150815,"ä·¸":150816,"êĤ":150817,"êĤ«":150818,"êĮ":150819,"êĮ¼":150820,"êį":150821,"êį²":150822,"êĴµ":150823,"êĵ":150824,"êĵ½":150825,"êĻŃ":150826,"êĿĽ":150827,"êĿ¥":150828,"êŀ":150829,"êŀĬ":150830,"ê¦Ĩ":150831,"ê¦ĩ":150832,"ê¦Ł":150833,"ꦨ":150834,"ê§Ī":150835,"ê©":150836,"ê©Ł":150837,"êªĭ":150838,"êªij":150839,"êªķ":150840,"êªĹ":150841,"êªľ":150842,"ꪮ":150843,"ꪱ":150844,"ꪻ":150845,"ꪼ":150846,"ê«Ģ":150847,"ê«Ŀ":150848,"ê°ĥ":150849,"ê°ĺ":150850,"ê±ľ":150851,"ê²ĵ":150852,"ê²ļ":150853,"ê³Ļ":150854,"ê³¾":150855,"ê´Ĺ":150856,"ê´Ļ":150857,"êµĽ":150858,"ê¶ĥ":150859,"ê¶ķ":150860,"궨":150861,"긩":150862,"긿":150863,"ê¹Ħ":150864,"ê¹Ĩ":150865,"ê¹ī":150866,"ê¹ĵ":150867,"ê¹¢":150868,"ê¹£":150869,"깸":150870,"꺳":150871,"ê¿ı":150872,"ê¿ķ":150873,"꿧":150874,"ëĢ©":150875,"ëģħ":150876,"ëĥµ":150877,"ëĦĸ":150878,"ëĦĹ":150879,"ëĦ¢":150880,"ëħĤ":150881,"ëĨIJ":150882,"ëĩľ":150883,"ëĪĭ":150884,"ëĪļ":150885,"ëīį":150886,"ëī¨":150887,"ëĬļ":150888,"ëĬ¡":150889,"ëĭľ":150890,"ëĭª":150891,"ëĮĺ":150892,"ëĮ¤":150893,"ëĮ¸":150894,"ëİŁ":150895,"ëı¨":150896,"ëIJĦ":150897,"ëIJı":150898,"ëIJ´":150899,"ëIJ¸":150900,"ëijģ":150901,"ëij¿":150902,"ëĴ¨":150903,"ëĵ·":150904,"ëĶ®":150905,"ëĶ²":150906,"ëķ§":150907,"ëĸĶ":150908,"ëĸª":150909,"ëĺŃ":150910,"ëļĢ":150911,"ëļł":150912,"ëĽĶ":150913,"뼩":150914,"ëľħ":150915,"ëŀķ":150916,"ëŀ°":150917,"ëŁIJ":150918,"ëł¡":150919,"ë¡ŀ":150920,"ë¡£":150921,"롵":150922,"ë£Ħ":150923,"ë£į":150924,"뤳":150925,"ë¦į":150926,"ë¦ı":150927,"릳":150928,"ë§Ħ":150929,"ë§Ĩ":150930,"ë§į":150931,"맾":150932,"맫":150933,"맻":150934,"먮":150935,"ë©Ĥ":150936,"ë©Ń":150937,"몴":150938,"묾":150939,"묳":150940,"묫":150941,"묾":150942,"ëѬ":150943,"ë®ĺ":150944,"뮹":150945,"ë¯ķ":150946,"ë¯ľ":150947,"ë°¨":150948,"ë°ª":150949,"ë±Ķ":150950,"ë²ĺ":150951,"ë²Ľ":150952,"ë²±":150953,"ë²´":150954,"ë´½":150955,"뵤":150956,"뵨":150957,"ë·Ĺ":150958,"ë·ĺ":150959,"ë¸ĵ":150960,"븾":150961,"빪":150962,"ëºĥ":150963,"ëºĺ":150964,"뺵":150965,"ë»´":150966,"ë¼IJ":150967,"ë¾Ķ":150968,"ìģŃ":150969,"ìĤł":150970,"ìĤ®":150971,"ìĥı":150972,"ìĥĻ":150973,"ìĦº":150974,"ìħ¢":150975,"ìĨĢ":150976,"ìĨħ":150977,"ìĨ¤":150978,"ìĨ¦":150979,"ìĨ¬":150980,"ìĩ±":150981,"ìĪµ":150982,"ìĭ¨":150983,"ìĭ´":150984,"ìĮ°":150985,"ìįľ":150986,"ìİĹ":150987,"ìİĺ":150988,"ìݼ":150989,"ìijī":150990,"ìijĿ":150991,"ìij»":150992,"ìĴĶ":150993,"ìĴ¯":150994,"ìĵ©":150995,"ìķIJ":150996,"ìķĸ":150997,"ìĸł":150998,"ìĸ¾":150999,"ìĹĥ":151000,"ìĹĹ":151001,"ìĹľ":151002,"ìŨ":151003,"ìĺĤ":151004,"ìĺĦ":151005,"ìĺı":151006,"ìĺ¾":151007,"ìĺ¿":151008,"ìľ§":151009,"ìĿIJ":151010,"ìĿĸ":151011,"ìĿ·":151012,"ìŀį":151013,"ìŀı":151014,"ìŀ¨":151015,"ìŀª":151016,"ìŀ³":151017,"ìł¡":151018,"ìł´":151019,"ìł¹":151020,"ì¡Ģ":151021,"졪":151022,"졵":151023,"ì¢IJ":151024,"좨":151025,"ì£Į":151026,"ì£Ļ":151027,"죳":151028,"ì¦ij":151029,"짥":151030,"짴":151031,"짾":151032,"ì¨ĵ":151033,"ì¨ķ":151034,"ì©°":151035,"ì©»":151036,"쩼":151037,"ìªĹ":151038,"ì¬Ķ":151039,"ì¬ĺ":151040,"ì®®":151041,"ì¯ķ":151042,"ì¯ĺ":151043,"ì°İ":151044,"ì°¯":151045,"ì±ĥ":151046,"ì±µ":151047,"첧":151048,"ì²®":151049,"첯":151050,"쳬":151051,"ì´ĭ":151052,"ì´¢":151053,"ìµ¥":151054,"춣":151055,"ì¸Ī":151056,"ì¸Ļ":151057,"캤":151058,"ìºŃ":151059,"컽":151060,"ì¼Ļ":151061,"콬":151062,"ì¾Ģ":151063,"ì¿ħ":151064,"쿽":151065,"íĢħ":151066,"íģ¦":151067,"íĤħ":151068,"íĥ¶":151069,"íĥ¹":151070,"íĦĶ":151071,"íħ£":151072,"íĨĦ":151073,"íĨ§":151074,"íĨ¹":151075,"íĩ¼":151076,"íī¤":151077,"íĬ½":151078,"íĭĤ":151079,"íĭij":151080,"íįĪ":151081,"íįĻ":151082,"íį¿":151083,"íݶ":151084,"íIJĿ":151085,"íĴľ":151086,"íĵĿ":151087,"íĵª":151088,"íĵ±":151089,"íĵ·":151090,"íĵ¼":151091,"íĶĻ":151092,"íĶł":151093,"íķļ":151094,"íķĽ":151095,"íķŀ":151096,"íķŁ":151097,"íķ§":151098,"íķ¶":151099,"íĸĬ":151100,"íĸĭ":151101,"íĸį":151102,"íĸĶ":151103,"íĸĺ":151104,"íĸ¡":151105,"íĸ¬":151106,"íĹ£":151107,"íĹ¿":151108,"íĺĸ":151109,"íĺŃ":151110,"íļ°":151111,"íĽį":151112,"íĽ½":151113,"íĿŁ":151114,"íĿŃ":151115,"íĿ´":151116,"íŀľ":151117,"ï¤ī":151118,"ï¤Ń":151119,"爐":151120,"蘆":151121,"祿":151122,"ï¥Ģ":151123,"ï¥ij":151124,"ï¥Ĵ":151125,"ï¥ķ":151126,"ï¥ĺ":151127,"ï¥Ļ":151128,"參":151129,"塞":151130,"殺":151131,"勵":151132,"ï¦ĭ":151133,"ï¦ı":151134,"ï¦Ķ":151135,"ï¦ĸ":151136,"ï¦ĺ":151137,"ï¦Ľ":151138,"ï¦ł":151139,"瑩":151140,"羚":151141,"了":151142,"僚":151143,"料":151144,"ï§Ĩ":151145,"ï§ĸ":151146,"ï§Ľ":151147,"ï§ŀ":151148,"ï§Ł":151149,"裏":151150,"麟":151151,"狀":151152,"什":151153,"ï¨ĥ":151154,"ï¨ļ":151155,"諸":151156,"ï©Ł":151157,"ﬤ":151158,"שּׁ":151159,"לּ":151160,"ïŃĴ":151161,"ïŃķ":151162,"ïŃĽ":151163,"ïŃĿ":151164,"ïŃŀ":151165,"ïŃŁ":151166,"ïѤ":151167,"ïѧ":151168,"ïѨ":151169,"ïŃ®":151170,"ïŃ°":151171,"ïѱ":151172,"ïŃ·":151173,"ïŃ¹":151174,"ïŃ»":151175,"ï®Ģ":151176,"ï®ĥ":151177,"ï®Ħ":151178,"ï®ħ":151179,"ï®į":151180,"ï®Ĵ":151181,"ï®ĵ":151182,"ï®ķ":151183,"ﮦ":151184,"ï®®":151185,"ï®°":151186,"ï¯ĵ":151187,"ï¯ľ":151188,"ﯩ":151189,"ﯪ":151190,"ﯬ":151191,"ï¯Ń":151192,"ﯮ":151193,"ﯷ":151194,"ﯹ":151195,"ﯻ":151196,"ﯼ":151197,"ï°ĥ":151198,"ï°Į":151199,"ï°IJ":151200,"ï°ĺ":151201,"ï°Ļ":151202,"ï°ľ":151203,"ï°ŀ":151204,"ï°¢":151205,"ï°®":151206,"ï°°":151207,"ï°¼":151208,"ï°¿":151209,"ï±Ģ":151210,"ï±ģ":151211,"ï±Ī":151212,"ï±ĭ":151213,"ï±ı":151214,"ï±Ń":151215,"ï²Ģ":151216,"ï²ĩ":151217,"ï²Ī":151218,"ï²ĭ":151219,"ï²İ":151220,"ï²Ĵ":151221,"ï²ľ":151222,"ï²ł":151223,"ﲬ":151224,"ï²»":151225,"ï³ĩ":151226,"ï³Ķ":151227,"ï³£":151228,"ﳫ":151229,"ï´ĺ":151230,"ï´°":151231,"ï´½":151232,"ï¶":151233,"ﶰ":151234,"ï¸ĸ":151235,"︴":151236,"︹":151237,"ï¹į":151238,"ï¹Ĺ":151239,"ï¹¢":151240,"﹤":151241,"﹩":151242,"ï¹±":151243,"ï¾°":151244,"ï¿Ĥ":151245,"ï¿®":151246,"ðIJĮ°":151247,"ðIJĮ¹":151248,"ðIJĮº":151249,"ðIJĮ½":151250,"ðIJįĤ":151251,"ðIJįĥ":151252,"ðIJįĦ":151253,"ðIJİ":151254,"ðIJݹ":151255,"ðIJ¤Ĥ":151256,"ðIJ¤į":151257,"ðIJ¤ı":151258,"ðIJ¤ĵ":151259,"ðIJŃī":151260,"ðIJŃį":151261,"ðIJ°ĩ":151262,"ðIJ°°":151263,"ðijĤ":151264,"ðijĤĦ":151265,"ðijĺ":151266,"ðijĺģ":151267,"ðĴĢ":151268,"ðĴĢ¸":151269,"ðĴģ":151270,"ðĴģº":151271,"ðĴĦ":151272,"ðĴĦ·":151273,"ðĴĬ":151274,"ðĴĬij":151275,"ðĴĭ":151276,"ðĴĭĹ":151277,"ðĴĮ":151278,"ðĴĮ¨":151279,"ðĵĥ¢":151280,"ðĵĥ°":151281,"ðĸł":151282,"ðĸłļ":151283,"ðĿĦĥ":151284,"ðĿĦħ":151285,"ðĿĦķ":151286,"ðĿĦĻ":151287,"ðĿĦ±":151288,"ðĿĦ´":151289,"ðĿĦ¹":151290,"ðĿħİ":151291,"ðĿħª":151292,"ðĿĨ£":151293,"ðĿĨ³":151294,"ðĿĨ¹":151295,"ðĿĩĬ":151296,"ðĿĩĹ":151297,"ðĿĩļ":151298,"ðĿĩľ":151299,"ðĿĩł":151300,"ðĿIJī":151301,"ðĿIJĸ":151302,"ðĿIJĺ":151303,"ðĿIJ£":151304,"ðĿIJ±":151305,"ðĿijĬ":151306,"ðĿijŃ":151307,"ðĿij¼":151308,"ðĿij½":151309,"ðĿĴ°":151310,"ðĿĴ·":151311,"ðĿĴ¿":151312,"ðĿĵģ":151313,"ðĿĵĭ":151314,"ðĿĵİ":151315,"ðĿĵĴ":151316,"ðĿĵĺ":151317,"ðĿĵ¢":151318,"ðĿĵ¦":151319,"ðĿĵ«":151320,"ðĿĵ¿":151321,"ðĿĶİ":151322,"ðĿĶ±":151323,"ðĿĶ´":151324,"ðĿĶ·":151325,"ðĿĶ¸":151326,"ðĿĶ½":151327,"ðĿķĤ":151328,"ðĿķĥ":151329,"ðĿķĭ":151330,"ðĿķı":151331,"ðĿķIJ":151332,"ðĿķ¥":151333,"ðĿķ´":151334,"ðĿķº":151335,"ðĿĸIJ":151336,"ðĿĸĽ":151337,"ðĿĸĿ":151338,"ðĿĸŀ":151339,"ðĿĹ©":151340,"ðĿĹ³":151341,"ðĿĹ½":151342,"ðĿĺĬ":151343,"ðĿĺĭ":151344,"ðĿĺĶ":151345,"ðĿĺ±":151346,"ðĿĺ´":151347,"ðĿĺ¿":151348,"ðĿĻĴ":151349,"ðĿĻĿ":151350,"ðĿĻŁ":151351,"ðĿĻ¬":151352,"ðĿĻŃ":151353,"ðĿĻ»":151354,"ðĿĻ¾":151355,"ðĿļĪ":151356,"ðĿļĭ":151357,"ðĿļij":151358,"ðĿļŁ":151359,"ðĿļł":151360,"ðĿļ£":151361,"ðĿĽ½":151362,"ðĿľĤ":151363,"ðĿľĶ":151364,"ðĿľĻ":151365,"ðŁĢ":151366,"ðŁĢĦ":151367,"ðŁĦ²":151368,"ðŁĦ¶":151369,"ðŁħIJ":151370,"ðŁħĸ":151371,"ðŁħļ":151372,"ðŁħĽ":151373,"ðŁħ¦":151374,"ðŁħ¶":151375,"ðŁħ»":151376,"ðŁħ¼":151377,"ðŁĨĥ":151378,"ðŁĨĨ":151379,"ðŁĨİ":151380,"ðŁĪ¯":151381,"ðŁĪ²":151382,"ðŁĪ¹":151383,"ðŁĮĩ":151384,"ðŁĮĵ":151385,"ðŁįĺ":151386,"ðŁİij":151387,"ðŁİ¿":151388,"ðŁıı":151389,"ðŁıĴ":151390,"ðŁı©":151391,"ðŁı¯":151392,"ðŁIJĢ":151393,"ðŁijĿ":151394,"ðŁĴ¹":151395,"ðŁĴº":151396,"ðŁĵŁ":151397,"ðŁĵª":151398,"ðŁĵ¼":151399,"ðŁĶĢ":151400,"ðŁĶĤ":151401,"ðŁĶĥ":151402,"ðŁĶĩ":151403,"ðŁĶĵ":151404,"ðŁĶ¢":151405,"ðŁĶ¤":151406,"ðŁĶ©":151407,"ðŁķĸ":151408,"ðŁķļ":151409,"ðŁķľ":151410,"ðŁķĿ":151411,"ðŁķŀ":151412,"ðŁķł":151413,"ðŁķ¢":151414,"ðŁķ³":151415,"ðŁĸĩ":151416,"ðŁĸij":151417,"ðŁĸ¶":151418,"ðŁĹģ":151419,"Ѩ":151420,"Úİ":151421,"á¡Į":151422,"Ḱ":151423,"áºĢ":151424,"á¼®":151425,"á½Ŀ":151426,"âĦ¬":151427,"âļ§":151428,"⼤":151429,"㳬":151430,"êĻĭ":151431,"ê¸ij":151432,"ëĶī":151433,"ëĹį":151434,"ë¡ij":151435,"ë¯ij":151436,"ë»ħ":151437,"ë¼Ŀ":151438,"ìĦIJ":151439,"ìī¡":151440,"ìĭ²":151441,"ìı±":151442,"ìŤ":151443,"ìĿ©":151444,"ìĿ¿":151445,"ìŁĻ":151446,"ìł°":151447,"ì¥ī":151448,"íĬŃ":151449,"íķ®":151450,"ï®ı":151451,"ðŁħ±":151452,"ðŁĨĴ":151453,"ðŁķĭ":151454,"Éĺ":151455,"Êĵ":151456,"Õĥ":151457,"à´´":151458,"à½ħ":151459,"áĨº":151460,"áĪĬ":151461,"áĪ¨":151462,"áĪ¾":151463,"áīIJ":151464,"áĮĥ":151465,"áĮ½":151466,"áĶŃ":151467,"áłĤ":151468,"ᳬ":151469,"ᨸ":151470,"á©ĭ":151471,"á¶ı":151472,"á¾Ķ":151473,"á¿IJ":151474,"á¿ļ":151475,"âĻĻ":151476,"âļĤ":151477,"âļĹ":151478,"â¡¢":151479,"⤦":151480,"ëĸ°":151481,"ë¤Ĥ":151482,"맳":151483,"ë±ĭ":151484,"ë±IJ":151485,"ìĽ¢":151486,"ìľ¾":151487,"ì³ħ":151488,"ì»ģ":151489,"íģ»":151490,"íĥĻ":151491,"íĵĸ":151492,"íĵŃ":151493,"íķ±":151494,"íĽľ":151495,"ï¤ħ":151496,"ï¤Ĩ":151497,"ï¦ĥ":151498,"里":151499,"ï¨Ĥ":151500,"ðIJ¤Ķ":151501,"ðIJŃĵ":151502,"ðIJ°¼":151503,"ðĿĵŀ":151504,"ðĿĵ°":151505,"ðĿĻľ":151506,"ðĿļģ":151507,"ðŁħ¢":151508,"ðŁıĩ":151509,"Ȳ":151510,"ʶ":151511,"ÔĪ":151512,"Ôij":151513,"Ýĵ":151514,"Ý¥":151515,"à¤ij":151516,"ॱ":151517,"à¬ī":151518,"à°³":151519,"à°µ":151520,"à²Ł":151521,"áĢı":151522,"áģ¼":151523,"áī¨":151524,"áĬĴ":151525,"áĭ©":151526,"áĮĦ":151527,"áĮĶ":151528,"áIJ§":151529,"áĴĮ":151530,"áĶħ":151531,"áĶĬ":151532,"áłĦ":151533,"á¨ģ":151534,"á¸ĥ":151535,"ḻ":151536,"âĶŀ":151537,"âĺµ":151538,"âļ£":151539,"â²¢":151540,"ãĪª":151541,"䶵":151542,"ê²Ļ":151543,"ê²´":151544,"ê³Ĥ":151545,"롼":151546,"ìĨĬ":151547,"ì¼ĩ":151548,"íĭį":151549,"íĵ¬":151550,"íĵ®":151551,"íĵ¶":151552,"íĵ»":151553,"臘":151554,"ï¥ł":151555,"辰":151556,"ïŃ²":151557,"ðIJŃĬ":151558,"ðIJ±ħ":151559,"ðĸ¥":151560,"ðĸ¥¨":151561,"ðĿij³":151562,"ðĿĵķ":151563,"ðĿĵ¬":151564,"ðĿĵ¹":151565,"ðĿĵ¾":151566,"ðĿĶĵ":151567,"ðĿķį":151568,"ðĿķ¡":151569,"ðĿķ±":151570,"ðĿĸĸ":151571,"ðĿĺı":151572,"ðĿĺIJ":151573,"ðĿĺļ":151574,"ðĿĻ®":151575,"ðĿĻ°":151576,"ðĿĻ¸":151577,"ðĿĻº":151578,"ðĿĻ¼":151579,"ðĿĻ½":151580,"ðĿĻ¿":151581,"ðĿļĦ":151582,"ðĿļı":151583,"ðŁħħ":151584,"ðŁħĵ":151585,"ÆĪ":151586,"àłĮ":151587,"áĻ³":151588,"áļĮ":151589,"áĽħ":151590,"áĽIJ":151591,"á¤Ĭ":151592,"á¸Ĭ":151593,"âĶ½":151594,"âķĬ":151595,"âĽĩ":151596,"âĽı":151597,"âĿª":151598,"âĿ«":151599,"⣰":151600,"ãĦį":151601,"ãĦĵ":151602,"ãĦ§":151603,"ãħĸ":151604,"ãī«":151605,"ê¦Ķ":151606,"ï±Ĭ":151607,"àºĤ":151608,"áħ£":151609,"á¥Ķ":151610,"ᥤ":151611,"âĨ¤":151612,"âĨ·":151613,"âĩŀ":151614,"âĸ¤":151615,"âŀ¶":151616,"ãĪ¼":151617,"嘆":151618,"ðĵı§":151619,"âĶ²":151620,"âĢ´":151621,"âĴŁ":151622,"âĴ¡":151623,"â°Ĥ":151624,"â°į":151625,"â°İ":151626,"â°IJ":151627,"â°ij":151628,"â°Ł":151629,"â°ł":151630,"â°¡":151631,"â¼Ń":151632,"ãĬ¥":151633,"âĴł":151634,"⽺":151635,"ãĩº":151636,"ãĩ½":151637,"ï¨Ĭ":151638,"áķ·":151639,"âį¨":151640,"âºŁ":151641,"â½Ĺ":151642} \ No newline at end of file diff --git a/comfy/text_encoders/qwen_image.py b/comfy/text_encoders/qwen_image.py new file mode 100644 index 0000000000000000000000000000000000000000..6646b1003b439b2f943354530f4093de2e10a655 --- /dev/null +++ b/comfy/text_encoders/qwen_image.py @@ -0,0 +1,85 @@ +from transformers import Qwen2Tokenizer +from comfy import sd1_clip +import comfy.text_encoders.llama +import os +import torch +import numbers + +class Qwen25_7BVLITokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "qwen25_tokenizer") + super().__init__(tokenizer_path, pad_with_end=False, embedding_size=3584, embedding_key='qwen25_7b', tokenizer_class=Qwen2Tokenizer, has_start_token=False, has_end_token=False, pad_to_max_length=False, max_length=99999999, min_length=1, pad_token=151643, tokenizer_data=tokenizer_data) + + +class QwenImageTokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, name="qwen25_7b", tokenizer=Qwen25_7BVLITokenizer) + self.llama_template = "<|im_start|>system\nDescribe the image by detailing the color, shape, size, texture, quantity, text, spatial relationships of the objects and background:<|im_end|>\n<|im_start|>user\n{}<|im_end|>\n<|im_start|>assistant\n" + self.llama_template_images = "<|im_start|>system\nDescribe the key features of the input image (color, shape, size, texture, objects, background), then explain how the user's text instruction should alter or modify the image. Generate a new image that meets the user's requirements while maintaining consistency with the original input where appropriate.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>{}<|im_end|>\n<|im_start|>assistant\n" + + def tokenize_with_weights(self, text, return_word_ids=False, llama_template=None, images=[], **kwargs): + if llama_template is None: + if len(images) > 0: + llama_text = self.llama_template_images.format(text) + else: + llama_text = self.llama_template.format(text) + else: + llama_text = llama_template.format(text) + tokens = super().tokenize_with_weights(llama_text, return_word_ids=return_word_ids, disable_weights=True, **kwargs) + key_name = next(iter(tokens)) + embed_count = 0 + qwen_tokens = tokens[key_name] + for r in qwen_tokens: + for i in range(len(r)): + if r[i][0] == 151655: + if len(images) > embed_count: + r[i] = ({"type": "image", "data": images[embed_count], "original_type": "image"},) + r[i][1:] + embed_count += 1 + return tokens + + +class Qwen25_7BVLIModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, attention_mask=True, model_options={}): + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"pad": 151643}, layer_norm_hidden_state=False, model_class=comfy.text_encoders.llama.Qwen25_7BVLI, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) + + +class QwenImageTEModel(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + super().__init__(device=device, dtype=dtype, name="qwen25_7b", clip_model=Qwen25_7BVLIModel, model_options=model_options) + + def encode_token_weights(self, token_weight_pairs): + out, pooled, extra = super().encode_token_weights(token_weight_pairs) + tok_pairs = token_weight_pairs["qwen25_7b"][0] + count_im_start = 0 + for i, v in enumerate(tok_pairs): + elem = v[0] + if not torch.is_tensor(elem): + if isinstance(elem, numbers.Integral): + if elem == 151644 and count_im_start < 2: + template_end = i + count_im_start += 1 + + if out.shape[1] > (template_end + 3): + if tok_pairs[template_end + 1][0] == 872: + if tok_pairs[template_end + 2][0] == 198: + template_end += 3 + + out = out[:, template_end:] + + extra["attention_mask"] = extra["attention_mask"][:, template_end:] + if extra["attention_mask"].sum() == torch.numel(extra["attention_mask"]): + extra.pop("attention_mask") # attention mask is useless if no masked elements + + return out, pooled, extra + + +def te(dtype_llama=None, llama_scaled_fp8=None): + class QwenImageTEModel_(QwenImageTEModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if llama_scaled_fp8 is not None and "scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["scaled_fp8"] = llama_scaled_fp8 + if dtype_llama is not None: + dtype = dtype_llama + super().__init__(device=device, dtype=dtype, model_options=model_options) + return QwenImageTEModel_ diff --git a/comfy/text_encoders/qwen_vl.py b/comfy/text_encoders/qwen_vl.py new file mode 100644 index 0000000000000000000000000000000000000000..3b18ce730f62b7975da7b49b61533e4c2b8791c1 --- /dev/null +++ b/comfy/text_encoders/qwen_vl.py @@ -0,0 +1,428 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +from typing import Optional, Tuple +import math +from comfy.ldm.modules.attention import optimized_attention_for_device + + +def process_qwen2vl_images( + images: torch.Tensor, + min_pixels: int = 3136, + max_pixels: int = 12845056, + patch_size: int = 14, + temporal_patch_size: int = 2, + merge_size: int = 2, + image_mean: list = None, + image_std: list = None, +): + if image_mean is None: + image_mean = [0.48145466, 0.4578275, 0.40821073] + if image_std is None: + image_std = [0.26862954, 0.26130258, 0.27577711] + + batch_size, height, width, channels = images.shape + device = images.device + # dtype = images.dtype + + images = images.permute(0, 3, 1, 2) + + grid_thw_list = [] + img = images[0] + + factor = patch_size * merge_size + + h_bar = round(height / factor) * factor + w_bar = round(width / factor) * factor + + if h_bar * w_bar > max_pixels: + beta = math.sqrt((height * width) / max_pixels) + h_bar = max(factor, math.floor(height / beta / factor) * factor) + w_bar = max(factor, math.floor(width / beta / factor) * factor) + elif h_bar * w_bar < min_pixels: + beta = math.sqrt(min_pixels / (height * width)) + h_bar = math.ceil(height * beta / factor) * factor + w_bar = math.ceil(width * beta / factor) * factor + + img_resized = F.interpolate( + img.unsqueeze(0), + size=(h_bar, w_bar), + mode='bilinear', + align_corners=False + ).squeeze(0) + + normalized = img_resized.clone() + for c in range(3): + normalized[c] = (img_resized[c] - image_mean[c]) / image_std[c] + + grid_h = h_bar // patch_size + grid_w = w_bar // patch_size + grid_thw = torch.tensor([1, grid_h, grid_w], device=device, dtype=torch.long) + + pixel_values = normalized + grid_thw_list.append(grid_thw) + image_grid_thw = torch.stack(grid_thw_list) + + grid_t = 1 + channel = pixel_values.shape[0] + pixel_values = pixel_values.unsqueeze(0).repeat(2, 1, 1, 1) + + patches = pixel_values.reshape( + grid_t, + temporal_patch_size, + channel, + grid_h // merge_size, + merge_size, + patch_size, + grid_w // merge_size, + merge_size, + patch_size, + ) + + patches = patches.permute(0, 3, 6, 4, 7, 2, 1, 5, 8) + flatten_patches = patches.reshape( + grid_t * grid_h * grid_w, + channel * temporal_patch_size * patch_size * patch_size + ) + + return flatten_patches, image_grid_thw + + +class VisionPatchEmbed(nn.Module): + def __init__( + self, + patch_size: int = 14, + temporal_patch_size: int = 2, + in_channels: int = 3, + embed_dim: int = 3584, + device=None, + dtype=None, + ops=None, + ): + super().__init__() + self.patch_size = patch_size + self.temporal_patch_size = temporal_patch_size + self.in_channels = in_channels + self.embed_dim = embed_dim + + kernel_size = [temporal_patch_size, patch_size, patch_size] + self.proj = ops.Conv3d( + in_channels, + embed_dim, + kernel_size=kernel_size, + stride=kernel_size, + bias=False, + device=device, + dtype=dtype + ) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + hidden_states = hidden_states.view( + -1, self.in_channels, self.temporal_patch_size, self.patch_size, self.patch_size + ) + hidden_states = self.proj(hidden_states) + return hidden_states.view(-1, self.embed_dim) + + +def rotate_half(x): + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +def apply_rotary_pos_emb_vision(q, k, cos, sin): + cos, sin = cos.unsqueeze(-2).float(), sin.unsqueeze(-2).float() + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class VisionRotaryEmbedding(nn.Module): + def __init__(self, dim: int, theta: float = 10000.0): + super().__init__() + self.dim = dim + self.theta = theta + + def forward(self, seqlen: int, device) -> torch.Tensor: + inv_freq = 1.0 / (self.theta ** (torch.arange(0, self.dim, 2, dtype=torch.float, device=device) / self.dim)) + seq = torch.arange(seqlen, device=inv_freq.device, dtype=inv_freq.dtype) + freqs = torch.outer(seq, inv_freq) + return freqs + + +class PatchMerger(nn.Module): + def __init__(self, dim: int, context_dim: int, spatial_merge_size: int = 2, device=None, dtype=None, ops=None): + super().__init__() + self.hidden_size = context_dim * (spatial_merge_size ** 2) + self.ln_q = ops.RMSNorm(context_dim, eps=1e-6, device=device, dtype=dtype) + self.mlp = nn.Sequential( + ops.Linear(self.hidden_size, self.hidden_size, device=device, dtype=dtype), + nn.GELU(), + ops.Linear(self.hidden_size, dim, device=device, dtype=dtype), + ) + + def forward(self, x: torch.Tensor) -> torch.Tensor: + x = self.ln_q(x).reshape(-1, self.hidden_size) + x = self.mlp(x) + return x + + +class VisionAttention(nn.Module): + def __init__(self, hidden_size: int, num_heads: int, device=None, dtype=None, ops=None): + super().__init__() + self.hidden_size = hidden_size + self.num_heads = num_heads + self.head_dim = hidden_size // num_heads + self.scaling = self.head_dim ** -0.5 + + self.qkv = ops.Linear(hidden_size, hidden_size * 3, bias=True, device=device, dtype=dtype) + self.proj = ops.Linear(hidden_size, hidden_size, bias=True, device=device, dtype=dtype) + + def forward( + self, + hidden_states: torch.Tensor, + position_embeddings: Optional[Tuple[torch.Tensor, torch.Tensor]] = None, + cu_seqlens=None, + optimized_attention=None, + ) -> torch.Tensor: + if hidden_states.dim() == 2: + seq_length, _ = hidden_states.shape + batch_size = 1 + hidden_states = hidden_states.unsqueeze(0) + else: + batch_size, seq_length, _ = hidden_states.shape + + qkv = self.qkv(hidden_states) + qkv = qkv.reshape(batch_size, seq_length, 3, self.num_heads, self.head_dim) + query_states, key_states, value_states = qkv.reshape(seq_length, 3, self.num_heads, -1).permute(1, 0, 2, 3).unbind(0) + + if position_embeddings is not None: + cos, sin = position_embeddings + query_states, key_states = apply_rotary_pos_emb_vision(query_states, key_states, cos, sin) + + query_states = query_states.transpose(0, 1).unsqueeze(0) + key_states = key_states.transpose(0, 1).unsqueeze(0) + value_states = value_states.transpose(0, 1).unsqueeze(0) + + lengths = cu_seqlens[1:] - cu_seqlens[:-1] + splits = [ + torch.split(tensor, lengths.tolist(), dim=2) for tensor in (query_states, key_states, value_states) + ] + + attn_outputs = [ + optimized_attention(q, k, v, self.num_heads, skip_reshape=True) + for q, k, v in zip(*splits) + ] + attn_output = torch.cat(attn_outputs, dim=1) + attn_output = attn_output.reshape(seq_length, -1) + attn_output = self.proj(attn_output) + + return attn_output + + +class VisionMLP(nn.Module): + def __init__(self, hidden_size: int, intermediate_size: int, device=None, dtype=None, ops=None): + super().__init__() + self.gate_proj = ops.Linear(hidden_size, intermediate_size, bias=True, device=device, dtype=dtype) + self.up_proj = ops.Linear(hidden_size, intermediate_size, bias=True, device=device, dtype=dtype) + self.down_proj = ops.Linear(intermediate_size, hidden_size, bias=True, device=device, dtype=dtype) + self.act_fn = nn.SiLU() + + def forward(self, hidden_state): + return self.down_proj(self.act_fn(self.gate_proj(hidden_state)) * self.up_proj(hidden_state)) + + +class VisionBlock(nn.Module): + def __init__(self, hidden_size: int, intermediate_size: int, num_heads: int, device=None, dtype=None, ops=None): + super().__init__() + self.norm1 = ops.RMSNorm(hidden_size, eps=1e-6, device=device, dtype=dtype) + self.norm2 = ops.RMSNorm(hidden_size, eps=1e-6, device=device, dtype=dtype) + self.attn = VisionAttention(hidden_size, num_heads, device=device, dtype=dtype, ops=ops) + self.mlp = VisionMLP(hidden_size, intermediate_size, device=device, dtype=dtype, ops=ops) + + def forward( + self, + hidden_states: torch.Tensor, + position_embeddings: Optional[Tuple[torch.Tensor, torch.Tensor]] = None, + cu_seqlens=None, + optimized_attention=None, + ) -> torch.Tensor: + residual = hidden_states + hidden_states = self.norm1(hidden_states) + hidden_states = self.attn(hidden_states, position_embeddings, cu_seqlens, optimized_attention) + hidden_states = residual + hidden_states + + residual = hidden_states + hidden_states = self.norm2(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + return hidden_states + + +class Qwen2VLVisionTransformer(nn.Module): + def __init__( + self, + hidden_size: int = 3584, + output_hidden_size: int = 3584, + intermediate_size: int = 3420, + num_heads: int = 16, + num_layers: int = 32, + patch_size: int = 14, + temporal_patch_size: int = 2, + spatial_merge_size: int = 2, + window_size: int = 112, + device=None, + dtype=None, + ops=None + ): + super().__init__() + self.hidden_size = hidden_size + self.patch_size = patch_size + self.spatial_merge_size = spatial_merge_size + self.window_size = window_size + self.fullatt_block_indexes = [7, 15, 23, 31] + + self.patch_embed = VisionPatchEmbed( + patch_size=patch_size, + temporal_patch_size=temporal_patch_size, + in_channels=3, + embed_dim=hidden_size, + device=device, + dtype=dtype, + ops=ops, + ) + + head_dim = hidden_size // num_heads + self.rotary_pos_emb = VisionRotaryEmbedding(head_dim // 2) + + self.blocks = nn.ModuleList([ + VisionBlock(hidden_size, intermediate_size, num_heads, device, dtype, ops) + for _ in range(num_layers) + ]) + + self.merger = PatchMerger( + dim=output_hidden_size, + context_dim=hidden_size, + spatial_merge_size=spatial_merge_size, + device=device, + dtype=dtype, + ops=ops, + ) + + def get_window_index(self, grid_thw): + window_index = [] + cu_window_seqlens = [0] + window_index_id = 0 + vit_merger_window_size = self.window_size // self.spatial_merge_size // self.patch_size + + for grid_t, grid_h, grid_w in grid_thw: + llm_grid_h = grid_h // self.spatial_merge_size + llm_grid_w = grid_w // self.spatial_merge_size + + index = torch.arange(grid_t * llm_grid_h * llm_grid_w).reshape(grid_t, llm_grid_h, llm_grid_w) + + pad_h = vit_merger_window_size - llm_grid_h % vit_merger_window_size + pad_w = vit_merger_window_size - llm_grid_w % vit_merger_window_size + num_windows_h = (llm_grid_h + pad_h) // vit_merger_window_size + num_windows_w = (llm_grid_w + pad_w) // vit_merger_window_size + + index_padded = F.pad(index, (0, pad_w, 0, pad_h), "constant", -100) + index_padded = index_padded.reshape( + grid_t, + num_windows_h, + vit_merger_window_size, + num_windows_w, + vit_merger_window_size, + ) + index_padded = index_padded.permute(0, 1, 3, 2, 4).reshape( + grid_t, + num_windows_h * num_windows_w, + vit_merger_window_size, + vit_merger_window_size, + ) + + seqlens = (index_padded != -100).sum([2, 3]).reshape(-1) + index_padded = index_padded.reshape(-1) + index_new = index_padded[index_padded != -100] + window_index.append(index_new + window_index_id) + + cu_seqlens_tmp = seqlens.cumsum(0) * self.spatial_merge_size * self.spatial_merge_size + cu_window_seqlens[-1] + cu_window_seqlens.extend(cu_seqlens_tmp.tolist()) + window_index_id += (grid_t * llm_grid_h * llm_grid_w).item() + + window_index = torch.cat(window_index, dim=0) + return window_index, cu_window_seqlens + + def get_position_embeddings(self, grid_thw, device): + pos_ids = [] + + for t, h, w in grid_thw: + hpos_ids = torch.arange(h, device=device).unsqueeze(1).expand(-1, w) + hpos_ids = hpos_ids.reshape( + h // self.spatial_merge_size, + self.spatial_merge_size, + w // self.spatial_merge_size, + self.spatial_merge_size, + ) + hpos_ids = hpos_ids.permute(0, 2, 1, 3).flatten() + + wpos_ids = torch.arange(w, device=device).unsqueeze(0).expand(h, -1) + wpos_ids = wpos_ids.reshape( + h // self.spatial_merge_size, + self.spatial_merge_size, + w // self.spatial_merge_size, + self.spatial_merge_size, + ) + wpos_ids = wpos_ids.permute(0, 2, 1, 3).flatten() + + pos_ids.append(torch.stack([hpos_ids, wpos_ids], dim=-1).repeat(t, 1)) + + pos_ids = torch.cat(pos_ids, dim=0) + max_grid_size = grid_thw[:, 1:].max() + rotary_pos_emb_full = self.rotary_pos_emb(max_grid_size, device) + return rotary_pos_emb_full[pos_ids].flatten(1) + + def forward( + self, + pixel_values: torch.Tensor, + image_grid_thw: Optional[torch.Tensor] = None, + ) -> torch.Tensor: + optimized_attention = optimized_attention_for_device(pixel_values.device, mask=False, small_input=True) + + hidden_states = self.patch_embed(pixel_values) + + window_index, cu_window_seqlens = self.get_window_index(image_grid_thw) + cu_window_seqlens = torch.tensor(cu_window_seqlens, device=hidden_states.device) + cu_window_seqlens = torch.unique_consecutive(cu_window_seqlens) + + position_embeddings = self.get_position_embeddings(image_grid_thw, hidden_states.device) + + seq_len, _ = hidden_states.size() + spatial_merge_unit = self.spatial_merge_size * self.spatial_merge_size + + hidden_states = hidden_states.reshape(seq_len // spatial_merge_unit, spatial_merge_unit, -1) + hidden_states = hidden_states[window_index, :, :] + hidden_states = hidden_states.reshape(seq_len, -1) + + position_embeddings = position_embeddings.reshape(seq_len // spatial_merge_unit, spatial_merge_unit, -1) + position_embeddings = position_embeddings[window_index, :, :] + position_embeddings = position_embeddings.reshape(seq_len, -1) + position_embeddings = torch.cat((position_embeddings, position_embeddings), dim=-1) + position_embeddings = (position_embeddings.cos(), position_embeddings.sin()) + + cu_seqlens = torch.repeat_interleave(image_grid_thw[:, 1] * image_grid_thw[:, 2], image_grid_thw[:, 0]).cumsum( + dim=0, + dtype=torch.int32, + ) + cu_seqlens = F.pad(cu_seqlens, (1, 0), value=0) + + for i, block in enumerate(self.blocks): + if i in self.fullatt_block_indexes: + cu_seqlens_now = cu_seqlens + else: + cu_seqlens_now = cu_window_seqlens + hidden_states = block(hidden_states, position_embeddings, cu_seqlens_now, optimized_attention=optimized_attention) + + hidden_states = self.merger(hidden_states) + return hidden_states diff --git a/comfy/text_encoders/sa_t5.py b/comfy/text_encoders/sa_t5.py new file mode 100644 index 0000000000000000000000000000000000000000..2803926ac01867edc686c4ca6625a5c5aba32e0b --- /dev/null +++ b/comfy/text_encoders/sa_t5.py @@ -0,0 +1,22 @@ +from comfy import sd1_clip +from transformers import T5TokenizerFast +import comfy.text_encoders.t5 +import os + +class T5BaseModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_config_base.json") + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, model_options=model_options, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=True) + +class T5BaseTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, pad_with_end=False, embedding_size=768, embedding_key='t5base', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=128, tokenizer_data=tokenizer_data) + +class SAT5Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="t5base", tokenizer=T5BaseTokenizer) + +class SAT5Model(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): + super().__init__(device=device, dtype=dtype, model_options=model_options, name="t5base", clip_model=T5BaseModel, **kwargs) diff --git a/comfy/text_encoders/sd2_clip.py b/comfy/text_encoders/sd2_clip.py new file mode 100644 index 0000000000000000000000000000000000000000..700a23bf09f03f09290f677092bd25f29d6f065a --- /dev/null +++ b/comfy/text_encoders/sd2_clip.py @@ -0,0 +1,23 @@ +from comfy import sd1_clip +import os + +class SD2ClipHModel(sd1_clip.SDClipModel): + def __init__(self, arch="ViT-H-14", device="cpu", max_length=77, freeze=True, layer="penultimate", layer_idx=None, dtype=None, model_options={}): + if layer == "penultimate": + layer="hidden" + layer_idx=-2 + + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "sd2_clip_config.json") + super().__init__(device=device, freeze=freeze, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"start": 49406, "end": 49407, "pad": 0}, return_projected_pooled=True, model_options=model_options) + +class SD2ClipHTokenizer(sd1_clip.SDTokenizer): + def __init__(self, tokenizer_path=None, embedding_directory=None, tokenizer_data={}): + super().__init__(tokenizer_path, pad_with_end=False, embedding_directory=embedding_directory, embedding_size=1024, embedding_key='clip_h', tokenizer_data=tokenizer_data) + +class SD2Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="h", tokenizer=SD2ClipHTokenizer) + +class SD2ClipModel(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): + super().__init__(device=device, dtype=dtype, model_options=model_options, clip_name="h", clip_model=SD2ClipHModel, **kwargs) diff --git a/comfy/text_encoders/sd2_clip_config.json b/comfy/text_encoders/sd2_clip_config.json new file mode 100644 index 0000000000000000000000000000000000000000..00893cfdc9b00f8eb7cf5aaa9c343e7fcd298d82 --- /dev/null +++ b/comfy/text_encoders/sd2_clip_config.json @@ -0,0 +1,23 @@ +{ + "architectures": [ + "CLIPTextModel" + ], + "attention_dropout": 0.0, + "bos_token_id": 0, + "dropout": 0.0, + "eos_token_id": 49407, + "hidden_act": "gelu", + "hidden_size": 1024, + "initializer_factor": 1.0, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-05, + "max_position_embeddings": 77, + "model_type": "clip_text_model", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "pad_token_id": 1, + "projection_dim": 1024, + "torch_dtype": "float32", + "vocab_size": 49408 +} diff --git a/comfy/text_encoders/sd3_clip.py b/comfy/text_encoders/sd3_clip.py new file mode 100644 index 0000000000000000000000000000000000000000..ff5d412db1481fee09cf7742b9e32e90f6ed74d9 --- /dev/null +++ b/comfy/text_encoders/sd3_clip.py @@ -0,0 +1,166 @@ +from comfy import sd1_clip +from comfy import sdxl_clip +from transformers import T5TokenizerFast +import comfy.text_encoders.t5 +import torch +import os +import comfy.model_management +import logging + +class T5XXLModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, attention_mask=False, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_config_xxl.json") + t5xxl_scaled_fp8 = model_options.get("t5xxl_scaled_fp8", None) + if t5xxl_scaled_fp8 is not None: + model_options = model_options.copy() + model_options["scaled_fp8"] = t5xxl_scaled_fp8 + + model_options = {**model_options, "model_name": "t5xxl"} + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options) + + +def t5_xxl_detect(state_dict, prefix=""): + out = {} + t5_key = "{}encoder.final_layer_norm.weight".format(prefix) + if t5_key in state_dict: + out["dtype_t5"] = state_dict[t5_key].dtype + + scaled_fp8_key = "{}scaled_fp8".format(prefix) + if scaled_fp8_key in state_dict: + out["t5xxl_scaled_fp8"] = state_dict[scaled_fp8_key].dtype + + return out + +class T5XXLTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}, min_length=77, max_length=99999999): + tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer") + super().__init__(tokenizer_path, embedding_directory=embedding_directory, pad_with_end=False, embedding_size=4096, embedding_key='t5xxl', tokenizer_class=T5TokenizerFast, has_start_token=False, pad_to_max_length=False, max_length=max_length, min_length=min_length, tokenizer_data=tokenizer_data) + + +class SD3Tokenizer: + def __init__(self, embedding_directory=None, tokenizer_data={}): + self.clip_l = sd1_clip.SDTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.clip_g = sdxl_clip.SDXLClipGTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + self.t5xxl = T5XXLTokenizer(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data) + + def tokenize_with_weights(self, text:str, return_word_ids=False, **kwargs): + out = {} + out["g"] = self.clip_g.tokenize_with_weights(text, return_word_ids, **kwargs) + out["l"] = self.clip_l.tokenize_with_weights(text, return_word_ids, **kwargs) + out["t5xxl"] = self.t5xxl.tokenize_with_weights(text, return_word_ids, **kwargs) + return out + + def untokenize(self, token_weight_pair): + return self.clip_g.untokenize(token_weight_pair) + + def state_dict(self): + return {} + +class SD3ClipModel(torch.nn.Module): + def __init__(self, clip_l=True, clip_g=True, t5=True, dtype_t5=None, t5_attention_mask=False, device="cpu", dtype=None, model_options={}): + super().__init__() + self.dtypes = set() + if clip_l: + self.clip_l = sd1_clip.SDClipModel(layer="hidden", layer_idx=-2, device=device, dtype=dtype, layer_norm_hidden_state=False, return_projected_pooled=False, model_options=model_options) + self.dtypes.add(dtype) + else: + self.clip_l = None + + if clip_g: + self.clip_g = sdxl_clip.SDXLClipG(device=device, dtype=dtype, model_options=model_options) + self.dtypes.add(dtype) + else: + self.clip_g = None + + if t5: + dtype_t5 = comfy.model_management.pick_weight_dtype(dtype_t5, dtype, device) + self.t5_attention_mask = t5_attention_mask + self.t5xxl = T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options, attention_mask=self.t5_attention_mask) + self.dtypes.add(dtype_t5) + else: + self.t5xxl = None + + logging.debug("Created SD3 text encoder with: clip_l {}, clip_g {}, t5xxl {}:{}".format(clip_l, clip_g, t5, dtype_t5)) + + def set_clip_options(self, options): + if self.clip_l is not None: + self.clip_l.set_clip_options(options) + if self.clip_g is not None: + self.clip_g.set_clip_options(options) + if self.t5xxl is not None: + self.t5xxl.set_clip_options(options) + + def reset_clip_options(self): + if self.clip_l is not None: + self.clip_l.reset_clip_options() + if self.clip_g is not None: + self.clip_g.reset_clip_options() + if self.t5xxl is not None: + self.t5xxl.reset_clip_options() + + def encode_token_weights(self, token_weight_pairs): + token_weight_pairs_l = token_weight_pairs["l"] + token_weight_pairs_g = token_weight_pairs["g"] + token_weight_pairs_t5 = token_weight_pairs["t5xxl"] + lg_out = None + pooled = None + out = None + extra = {} + + if len(token_weight_pairs_g) > 0 or len(token_weight_pairs_l) > 0: + if self.clip_l is not None: + lg_out, l_pooled = self.clip_l.encode_token_weights(token_weight_pairs_l) + else: + l_pooled = torch.zeros((1, 768), device=comfy.model_management.intermediate_device()) + + if self.clip_g is not None: + g_out, g_pooled = self.clip_g.encode_token_weights(token_weight_pairs_g) + if lg_out is not None: + cut_to = min(lg_out.shape[1], g_out.shape[1]) + lg_out = torch.cat([lg_out[:,:cut_to], g_out[:,:cut_to]], dim=-1) + else: + lg_out = torch.nn.functional.pad(g_out, (768, 0)) + else: + g_out = None + g_pooled = torch.zeros((1, 1280), device=comfy.model_management.intermediate_device()) + + if lg_out is not None: + lg_out = torch.nn.functional.pad(lg_out, (0, 4096 - lg_out.shape[-1])) + out = lg_out + pooled = torch.cat((l_pooled, g_pooled), dim=-1) + + if self.t5xxl is not None: + t5_output = self.t5xxl.encode_token_weights(token_weight_pairs_t5) + t5_out, t5_pooled = t5_output[:2] + if self.t5_attention_mask: + extra["attention_mask"] = t5_output[2]["attention_mask"] + + if lg_out is not None: + out = torch.cat([lg_out, t5_out], dim=-2) + else: + out = t5_out + + if out is None: + out = torch.zeros((1, 77, 4096), device=comfy.model_management.intermediate_device()) + + if pooled is None: + pooled = torch.zeros((1, 768 + 1280), device=comfy.model_management.intermediate_device()) + + return out, pooled, extra + + def load_sd(self, sd): + if "text_model.encoder.layers.30.mlp.fc1.weight" in sd: + return self.clip_g.load_sd(sd) + elif "text_model.encoder.layers.1.mlp.fc1.weight" in sd: + return self.clip_l.load_sd(sd) + else: + return self.t5xxl.load_sd(sd) + +def sd3_clip(clip_l=True, clip_g=True, t5=True, dtype_t5=None, t5xxl_scaled_fp8=None, t5_attention_mask=False): + class SD3ClipModel_(SD3ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8 + super().__init__(clip_l=clip_l, clip_g=clip_g, t5=t5, dtype_t5=dtype_t5, t5_attention_mask=t5_attention_mask, device=device, dtype=dtype, model_options=model_options) + return SD3ClipModel_ diff --git a/comfy/text_encoders/spiece_tokenizer.py b/comfy/text_encoders/spiece_tokenizer.py new file mode 100644 index 0000000000000000000000000000000000000000..caccb3ca283b3f129f942ebfc9e5c274a71d9f3d --- /dev/null +++ b/comfy/text_encoders/spiece_tokenizer.py @@ -0,0 +1,34 @@ +import torch +import os + +class SPieceTokenizer: + @staticmethod + def from_pretrained(path, **kwargs): + return SPieceTokenizer(path, **kwargs) + + def __init__(self, tokenizer_path, add_bos=False, add_eos=True): + self.add_bos = add_bos + self.add_eos = add_eos + import sentencepiece + if torch.is_tensor(tokenizer_path): + tokenizer_path = tokenizer_path.numpy().tobytes() + + if isinstance(tokenizer_path, bytes): + self.tokenizer = sentencepiece.SentencePieceProcessor(model_proto=tokenizer_path, add_bos=self.add_bos, add_eos=self.add_eos) + else: + if not os.path.isfile(tokenizer_path): + raise ValueError("invalid tokenizer") + self.tokenizer = sentencepiece.SentencePieceProcessor(model_file=tokenizer_path, add_bos=self.add_bos, add_eos=self.add_eos) + + def get_vocab(self): + out = {} + for i in range(self.tokenizer.get_piece_size()): + out[self.tokenizer.id_to_piece(i)] = i + return out + + def __call__(self, string): + out = self.tokenizer.encode(string) + return {"input_ids": out} + + def serialize_model(self): + return torch.ByteTensor(list(self.tokenizer.serialized_model_proto())) diff --git a/comfy/text_encoders/t5.py b/comfy/text_encoders/t5.py new file mode 100644 index 0000000000000000000000000000000000000000..e8588992a4b54713de4018975b8d58170a4d0d7e --- /dev/null +++ b/comfy/text_encoders/t5.py @@ -0,0 +1,249 @@ +import torch +import math +from comfy.ldm.modules.attention import optimized_attention_for_device +import comfy.ops + +class T5LayerNorm(torch.nn.Module): + def __init__(self, hidden_size, eps=1e-6, dtype=None, device=None, operations=None): + super().__init__() + self.weight = torch.nn.Parameter(torch.empty(hidden_size, dtype=dtype, device=device)) + self.variance_epsilon = eps + + def forward(self, x): + variance = x.pow(2).mean(-1, keepdim=True) + x = x * torch.rsqrt(variance + self.variance_epsilon) + return comfy.ops.cast_to_input(self.weight, x) * x + +activations = { + "gelu_pytorch_tanh": lambda a: torch.nn.functional.gelu(a, approximate="tanh"), + "relu": torch.nn.functional.relu, +} + +class T5DenseActDense(torch.nn.Module): + def __init__(self, model_dim, ff_dim, ff_activation, dtype, device, operations): + super().__init__() + self.wi = operations.Linear(model_dim, ff_dim, bias=False, dtype=dtype, device=device) + self.wo = operations.Linear(ff_dim, model_dim, bias=False, dtype=dtype, device=device) + # self.dropout = nn.Dropout(config.dropout_rate) + self.act = activations[ff_activation] + + def forward(self, x): + x = self.act(self.wi(x)) + # x = self.dropout(x) + x = self.wo(x) + return x + +class T5DenseGatedActDense(torch.nn.Module): + def __init__(self, model_dim, ff_dim, ff_activation, dtype, device, operations): + super().__init__() + self.wi_0 = operations.Linear(model_dim, ff_dim, bias=False, dtype=dtype, device=device) + self.wi_1 = operations.Linear(model_dim, ff_dim, bias=False, dtype=dtype, device=device) + self.wo = operations.Linear(ff_dim, model_dim, bias=False, dtype=dtype, device=device) + # self.dropout = nn.Dropout(config.dropout_rate) + self.act = activations[ff_activation] + + def forward(self, x): + hidden_gelu = self.act(self.wi_0(x)) + hidden_linear = self.wi_1(x) + x = hidden_gelu * hidden_linear + # x = self.dropout(x) + x = self.wo(x) + return x + +class T5LayerFF(torch.nn.Module): + def __init__(self, model_dim, ff_dim, ff_activation, gated_act, dtype, device, operations): + super().__init__() + if gated_act: + self.DenseReluDense = T5DenseGatedActDense(model_dim, ff_dim, ff_activation, dtype, device, operations) + else: + self.DenseReluDense = T5DenseActDense(model_dim, ff_dim, ff_activation, dtype, device, operations) + + self.layer_norm = T5LayerNorm(model_dim, dtype=dtype, device=device, operations=operations) + # self.dropout = nn.Dropout(config.dropout_rate) + + def forward(self, x): + forwarded_states = self.layer_norm(x) + forwarded_states = self.DenseReluDense(forwarded_states) + # x = x + self.dropout(forwarded_states) + x += forwarded_states + return x + +class T5Attention(torch.nn.Module): + def __init__(self, model_dim, inner_dim, num_heads, relative_attention_bias, dtype, device, operations): + super().__init__() + + # Mesh TensorFlow initialization to avoid scaling before softmax + self.q = operations.Linear(model_dim, inner_dim, bias=False, dtype=dtype, device=device) + self.k = operations.Linear(model_dim, inner_dim, bias=False, dtype=dtype, device=device) + self.v = operations.Linear(model_dim, inner_dim, bias=False, dtype=dtype, device=device) + self.o = operations.Linear(inner_dim, model_dim, bias=False, dtype=dtype, device=device) + self.num_heads = num_heads + + self.relative_attention_bias = None + if relative_attention_bias: + self.relative_attention_num_buckets = 32 + self.relative_attention_max_distance = 128 + self.relative_attention_bias = operations.Embedding(self.relative_attention_num_buckets, self.num_heads, device=device, dtype=dtype) + + @staticmethod + def _relative_position_bucket(relative_position, bidirectional=True, num_buckets=32, max_distance=128): + """ + Adapted from Mesh Tensorflow: + https://github.com/tensorflow/mesh/blob/0cb87fe07da627bf0b7e60475d59f95ed6b5be3d/mesh_tensorflow/transformer/transformer_layers.py#L593 + + Translate relative position to a bucket number for relative attention. The relative position is defined as + memory_position - query_position, i.e. the distance in tokens from the attending position to the attended-to + position. If bidirectional=False, then positive relative positions are invalid. We use smaller buckets for + small absolute relative_position and larger buckets for larger absolute relative_positions. All relative + positions >=max_distance map to the same bucket. All relative positions <=-max_distance map to the same bucket. + This should allow for more graceful generalization to longer sequences than the model has been trained on + + Args: + relative_position: an int32 Tensor + bidirectional: a boolean - whether the attention is bidirectional + num_buckets: an integer + max_distance: an integer + + Returns: + a Tensor with the same shape as relative_position, containing int32 values in the range [0, num_buckets) + """ + relative_buckets = 0 + if bidirectional: + num_buckets //= 2 + relative_buckets += (relative_position > 0).to(torch.long) * num_buckets + relative_position = torch.abs(relative_position) + else: + relative_position = -torch.min(relative_position, torch.zeros_like(relative_position)) + # now relative_position is in the range [0, inf) + + # half of the buckets are for exact increments in positions + max_exact = num_buckets // 2 + is_small = relative_position < max_exact + + # The other half of the buckets are for logarithmically bigger bins in positions up to max_distance + relative_position_if_large = max_exact + ( + torch.log(relative_position.float() / max_exact) + / math.log(max_distance / max_exact) + * (num_buckets - max_exact) + ).to(torch.long) + relative_position_if_large = torch.min( + relative_position_if_large, torch.full_like(relative_position_if_large, num_buckets - 1) + ) + + relative_buckets += torch.where(is_small, relative_position, relative_position_if_large) + return relative_buckets + + def compute_bias(self, query_length, key_length, device, dtype): + """Compute binned relative position bias""" + context_position = torch.arange(query_length, dtype=torch.long, device=device)[:, None] + memory_position = torch.arange(key_length, dtype=torch.long, device=device)[None, :] + relative_position = memory_position - context_position # shape (query_length, key_length) + relative_position_bucket = self._relative_position_bucket( + relative_position, # shape (query_length, key_length) + bidirectional=True, + num_buckets=self.relative_attention_num_buckets, + max_distance=self.relative_attention_max_distance, + ) + values = self.relative_attention_bias(relative_position_bucket, out_dtype=dtype) # shape (query_length, key_length, num_heads) + values = values.permute([2, 0, 1]).unsqueeze(0) # shape (1, num_heads, query_length, key_length) + return values.contiguous() + + def forward(self, x, mask=None, past_bias=None, optimized_attention=None): + q = self.q(x) + k = self.k(x) + v = self.v(x) + if self.relative_attention_bias is not None: + past_bias = self.compute_bias(x.shape[1], x.shape[1], x.device, x.dtype) + + if past_bias is not None: + if mask is not None: + mask = mask + past_bias + else: + mask = past_bias + + out = optimized_attention(q, k * ((k.shape[-1] / self.num_heads) ** 0.5), v, self.num_heads, mask) + return self.o(out), past_bias + +class T5LayerSelfAttention(torch.nn.Module): + def __init__(self, model_dim, inner_dim, ff_dim, num_heads, relative_attention_bias, dtype, device, operations): + super().__init__() + self.SelfAttention = T5Attention(model_dim, inner_dim, num_heads, relative_attention_bias, dtype, device, operations) + self.layer_norm = T5LayerNorm(model_dim, dtype=dtype, device=device, operations=operations) + # self.dropout = nn.Dropout(config.dropout_rate) + + def forward(self, x, mask=None, past_bias=None, optimized_attention=None): + output, past_bias = self.SelfAttention(self.layer_norm(x), mask=mask, past_bias=past_bias, optimized_attention=optimized_attention) + # x = x + self.dropout(attention_output) + x += output + return x, past_bias + +class T5Block(torch.nn.Module): + def __init__(self, model_dim, inner_dim, ff_dim, ff_activation, gated_act, num_heads, relative_attention_bias, dtype, device, operations): + super().__init__() + self.layer = torch.nn.ModuleList() + self.layer.append(T5LayerSelfAttention(model_dim, inner_dim, ff_dim, num_heads, relative_attention_bias, dtype, device, operations)) + self.layer.append(T5LayerFF(model_dim, ff_dim, ff_activation, gated_act, dtype, device, operations)) + + def forward(self, x, mask=None, past_bias=None, optimized_attention=None): + x, past_bias = self.layer[0](x, mask, past_bias, optimized_attention) + x = self.layer[-1](x) + return x, past_bias + +class T5Stack(torch.nn.Module): + def __init__(self, num_layers, model_dim, inner_dim, ff_dim, ff_activation, gated_act, num_heads, relative_attention, dtype, device, operations): + super().__init__() + + self.block = torch.nn.ModuleList( + [T5Block(model_dim, inner_dim, ff_dim, ff_activation, gated_act, num_heads, relative_attention_bias=((not relative_attention) or (i == 0)), dtype=dtype, device=device, operations=operations) for i in range(num_layers)] + ) + self.final_layer_norm = T5LayerNorm(model_dim, dtype=dtype, device=device, operations=operations) + # self.dropout = nn.Dropout(config.dropout_rate) + + def forward(self, x, attention_mask=None, intermediate_output=None, final_layer_norm_intermediate=True, dtype=None, embeds_info=[]): + mask = None + if attention_mask is not None: + mask = 1.0 - attention_mask.to(x.dtype).reshape((attention_mask.shape[0], 1, -1, attention_mask.shape[-1])).expand(attention_mask.shape[0], 1, attention_mask.shape[-1], attention_mask.shape[-1]) + mask = mask.masked_fill(mask.to(torch.bool), -torch.finfo(x.dtype).max) + + intermediate = None + optimized_attention = optimized_attention_for_device(x.device, mask=attention_mask is not None, small_input=True) + past_bias = None + + if intermediate_output is not None: + if intermediate_output < 0: + intermediate_output = len(self.block) + intermediate_output + + for i, l in enumerate(self.block): + x, past_bias = l(x, mask, past_bias, optimized_attention) + if i == intermediate_output: + intermediate = x.clone() + x = self.final_layer_norm(x) + if intermediate is not None and final_layer_norm_intermediate: + intermediate = self.final_layer_norm(intermediate) + return x, intermediate + +class T5(torch.nn.Module): + def __init__(self, config_dict, dtype, device, operations): + super().__init__() + self.num_layers = config_dict["num_layers"] + model_dim = config_dict["d_model"] + inner_dim = config_dict["d_kv"] * config_dict["num_heads"] + + self.encoder = T5Stack(self.num_layers, model_dim, inner_dim, config_dict["d_ff"], config_dict["dense_act_fn"], config_dict["is_gated_act"], config_dict["num_heads"], config_dict["model_type"] != "umt5", dtype, device, operations) + self.dtype = dtype + self.shared = operations.Embedding(config_dict["vocab_size"], model_dim, device=device, dtype=dtype) + + def get_input_embeddings(self): + return self.shared + + def set_input_embeddings(self, embeddings): + self.shared = embeddings + + def forward(self, input_ids, attention_mask, embeds=None, num_tokens=None, **kwargs): + if input_ids is None: + x = embeds + else: + x = self.shared(input_ids, out_dtype=kwargs.get("dtype", torch.float32)) + if self.dtype not in [torch.float32, torch.float16, torch.bfloat16]: + x = torch.nan_to_num(x) #Fix for fp8 T5 base + return self.encoder(x, attention_mask=attention_mask, **kwargs) diff --git a/comfy/text_encoders/t5_config_base.json b/comfy/text_encoders/t5_config_base.json new file mode 100644 index 0000000000000000000000000000000000000000..71f68327c27280ce150d0c8e92fd61eca0b52a63 --- /dev/null +++ b/comfy/text_encoders/t5_config_base.json @@ -0,0 +1,22 @@ +{ + "d_ff": 3072, + "d_kv": 64, + "d_model": 768, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "relu", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": false, + "layer_norm_epsilon": 1e-06, + "model_type": "t5", + "num_decoder_layers": 12, + "num_heads": 12, + "num_layers": 12, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 32128 +} diff --git a/comfy/text_encoders/t5_config_xxl.json b/comfy/text_encoders/t5_config_xxl.json new file mode 100644 index 0000000000000000000000000000000000000000..28283b51a11bed6a874499f82d411c16cc646eb1 --- /dev/null +++ b/comfy/text_encoders/t5_config_xxl.json @@ -0,0 +1,22 @@ +{ + "d_ff": 10240, + "d_kv": 64, + "d_model": 4096, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "gelu_pytorch_tanh", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "t5", + "num_decoder_layers": 24, + "num_heads": 64, + "num_layers": 24, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 32128 +} diff --git a/comfy/text_encoders/t5_old_config_xxl.json b/comfy/text_encoders/t5_old_config_xxl.json new file mode 100644 index 0000000000000000000000000000000000000000..c9fdd7782197ca0523ee82133e9b417fa947a5c5 --- /dev/null +++ b/comfy/text_encoders/t5_old_config_xxl.json @@ -0,0 +1,22 @@ +{ + "d_ff": 65536, + "d_kv": 128, + "d_model": 1024, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "relu", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": false, + "layer_norm_epsilon": 1e-06, + "model_type": "t5", + "num_decoder_layers": 24, + "num_heads": 128, + "num_layers": 24, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 32128 +} diff --git a/comfy/text_encoders/t5_pile_config_xl.json b/comfy/text_encoders/t5_pile_config_xl.json new file mode 100644 index 0000000000000000000000000000000000000000..ee4e03f97a5b3a9927fc676816f210a364ee234b --- /dev/null +++ b/comfy/text_encoders/t5_pile_config_xl.json @@ -0,0 +1,22 @@ +{ + "d_ff": 5120, + "d_kv": 64, + "d_model": 2048, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 2, + "dense_act_fn": "gelu_pytorch_tanh", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "umt5", + "num_decoder_layers": 24, + "num_heads": 32, + "num_layers": 24, + "output_past": true, + "pad_token_id": 1, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 32128 +} diff --git a/comfy/text_encoders/t5_tokenizer/special_tokens_map.json b/comfy/text_encoders/t5_tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..17ade346a1042cbe0c1436f5bedcbd85c099d582 --- /dev/null +++ b/comfy/text_encoders/t5_tokenizer/special_tokens_map.json @@ -0,0 +1,125 @@ +{ + "additional_special_tokens": [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "" + ], + "eos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/comfy/text_encoders/t5_tokenizer/tokenizer.json b/comfy/text_encoders/t5_tokenizer/tokenizer.json new file mode 100644 index 0000000000000000000000000000000000000000..b11c92d7184d265f0dc857ec5d676aa81aa16262 --- /dev/null +++ b/comfy/text_encoders/t5_tokenizer/tokenizer.json @@ -0,0 +1,129428 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 2, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32000, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32001, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32002, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32003, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32004, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32005, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32006, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32007, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32008, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32009, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32010, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32011, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32012, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32013, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32014, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32015, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32016, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32017, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32018, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32019, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32020, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32021, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32022, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32023, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32024, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32025, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32026, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32027, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32028, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32029, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32030, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32031, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32032, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32033, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32034, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32035, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32036, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32037, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32038, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32039, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32040, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32041, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32042, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32043, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32044, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32045, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32046, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32047, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32048, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32049, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32050, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32051, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32052, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32053, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32054, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32055, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32056, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32057, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32058, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32059, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32060, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32061, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32062, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32063, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32064, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32065, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32066, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32067, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32068, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32069, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32070, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32071, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32072, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32073, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32074, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32075, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32076, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32077, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32078, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32079, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32080, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32081, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32082, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32083, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32084, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32085, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32086, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32087, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32088, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32089, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32090, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32091, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32092, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32093, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32094, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32095, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32096, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32097, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32098, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 32099, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": { + "type": "Sequence", + "normalizers": [ + { + "type": "Precompiled", + "precompiled_charsmap": "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" + }, + { + "type": "Strip", + "strip_left": false, + "strip_right": true + }, + { + "type": "Replace", + "pattern": { + "Regex": " {2,}" + }, + "content": "▁" + } + ] + }, + "pre_tokenizer": { + "type": "Metaspace", + "replacement": "▁", + "add_prefix_space": true, + "prepend_scheme": "first" + }, + "post_processor": { + "type": "TemplateProcessing", + "single": [ + { + "Sequence": { + "id": "A", + "type_id": 0 + } + }, + { + "SpecialToken": { + "id": "", + "type_id": 0 + } + } + ], + "pair": [ + { + "Sequence": { + "id": "A", + "type_id": 0 + } + }, + { + "SpecialToken": { + "id": "", + "type_id": 0 + } + }, + { + "Sequence": { + "id": "B", + "type_id": 0 + } + }, + { + "SpecialToken": { + "id": "", + "type_id": 0 + } + } + ], + "special_tokens": { + "": { + "id": "", + "ids": [ + 1 + ], + "tokens": [ + "" + ] + } + } + }, + "decoder": { + "type": "Metaspace", + "replacement": "▁", + "add_prefix_space": true, + "prepend_scheme": "always" + }, + "model": { + "type": "Unigram", + "unk_id": 2, + "vocab": [ + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "▁", + -2.0122928619384766 + ], + [ + "X", + -2.486478805541992 + ], + [ + ".", + -3.5449328422546387 + ], + [ + ",", + -3.649247407913208 + ], + [ + "s", + -3.9033992290496826 + ], + [ + "▁the", + -3.9598512649536133 + ], + [ + "a", + -4.097104549407959 + ], + [ + ":", + -4.414328098297119 + ], + [ + "▁and", + -4.420670986175537 + ], + [ + "▁to", + -4.4523234367370605 + ], + [ + "▁of", + -4.572070121765137 + ], + [ + "▁fill", + -4.575019836425781 + ], + [ + "e", + -4.674920082092285 + ], + [ + "▁in", + -4.812063694000244 + ], + [ + "t", + -5.063905715942383 + ], + [ + "-", + -5.129043102264404 + ], + [ + "▁is", + -5.283425331115723 + ], + [ + "▁de", + -5.344141960144043 + ], + [ + "▁for", + -5.3930158615112305 + ], + [ + "’", + -5.4228339195251465 + ], + [ + "i", + -5.469857692718506 + ], + [ + "▁that", + -5.576240539550781 + ], + [ + "▁you", + -5.596375465393066 + ], + [ + "d", + -5.6047282218933105 + ], + [ + "▁I", + -5.6640448570251465 + ], + [ + "▁with", + -5.703730583190918 + ], + [ + "n", + -5.737886905670166 + ], + [ + "▁on", + -5.784142971038818 + ], + [ + "'", + -5.828996181488037 + ], + [ + "o", + -5.925558090209961 + ], + [ + "▁are", + -5.931313991546631 + ], + [ + "▁it", + -5.939518928527832 + ], + [ + "en", + -5.9465556144714355 + ], + [ + "▁be", + -5.9556708335876465 + ], + [ + "▁The", + -5.990020751953125 + ], + [ + "▁as", + -6.057407379150391 + ], + [ + "▁your", + -6.132311820983887 + ], + [ + "l", + -6.139498710632324 + ], + [ + "▁(", + -6.184796333312988 + ], + [ + "▁or", + -6.241950035095215 + ], + [ + "▁have", + -6.27459192276001 + ], + [ + "▁at", + -6.327472686767578 + ], + [ + "▁from", + -6.349645137786865 + ], + [ + "▁an", + -6.350090980529785 + ], + [ + "▁was", + -6.350385665893555 + ], + [ + "▁this", + -6.352563381195068 + ], + [ + "er", + -6.3604278564453125 + ], + [ + "▁la", + -6.3624043464660645 + ], + [ + "m", + -6.375206470489502 + ], + [ + "r", + -6.376530170440674 + ], + [ + "ing", + -6.3778581619262695 + ], + [ + "▁can", + -6.387146472930908 + ], + [ + "!", + -6.421379566192627 + ], + [ + "▁will", + -6.423982620239258 + ], + [ + "▁by", + -6.44155216217041 + ], + [ + "?", + -6.585887432098389 + ], + [ + "▁not", + -6.5959086418151855 + ], + [ + "re", + -6.620072364807129 + ], + [ + ")", + -6.63656759262085 + ], + [ + "▁we", + -6.643022060394287 + ], + [ + "y", + -6.654535293579102 + ], + [ + "▁und", + -6.741473197937012 + ], + [ + "▁has", + -6.7602033615112305 + ], + [ + "▁all", + -6.768176555633545 + ], + [ + "▁die", + -6.8641204833984375 + ], + [ + "▁but", + -6.906830310821533 + ], + [ + "▁our", + -6.909878730773926 + ], + [ + "▁their", + -6.91325044631958 + ], + [ + "▁A", + -6.915814399719238 + ], + [ + "▁more", + -6.918668746948242 + ], + [ + "▁un", + -6.924930572509766 + ], + [ + "▁der", + -6.925402641296387 + ], + [ + "c", + -6.925714015960693 + ], + [ + "u", + -6.932939052581787 + ], + [ + "in", + -6.934063911437988 + ], + [ + "▁so", + -6.947050094604492 + ], + [ + "▁they", + -6.989297866821289 + ], + [ + "▁one", + -7.012735843658447 + ], + [ + "▁about", + -7.071486473083496 + ], + [ + "▁my", + -7.072140693664551 + ], + [ + "ul", + -7.076492786407471 + ], + [ + "▁which", + -7.097039222717285 + ], + [ + "à", + -7.099997520446777 + ], + [ + "▁In", + -7.100254535675049 + ], + [ + "/", + -7.100865840911865 + ], + [ + "he", + -7.104752540588379 + ], + [ + "f", + -7.110044002532959 + ], + [ + "▁le", + -7.112937927246094 + ], + [ + "▁out", + -7.128556728363037 + ], + [ + "▁also", + -7.133583068847656 + ], + [ + "▁des", + -7.156766414642334 + ], + [ + "▁It", + -7.162121295928955 + ], + [ + "▁up", + -7.1723432540893555 + ], + [ + "▁\"", + -7.172809600830078 + ], + [ + "▁time", + -7.178046703338623 + ], + [ + "ă", + -7.183253765106201 + ], + [ + "if", + -7.185171127319336 + ], + [ + "▁This", + -7.191652297973633 + ], + [ + "▁We", + -7.223267078399658 + ], + [ + "p", + -7.224130153656006 + ], + [ + "▁do", + -7.228212356567383 + ], + [ + "–", + -7.235409736633301 + ], + [ + "▁“", + -7.238142013549805 + ], + [ + "on", + -7.240827560424805 + ], + [ + "h", + -7.2543206214904785 + ], + [ + "▁si", + -7.276725769042969 + ], + [ + "le", + -7.2994256019592285 + ], + [ + "▁les", + -7.312957286834717 + ], + [ + "▁în", + -7.314571857452393 + ], + [ + "▁his", + -7.324767112731934 + ], + [ + "▁who", + -7.35105562210083 + ], + [ + "▁like", + -7.371364116668701 + ], + [ + "b", + -7.375369071960449 + ], + [ + "▁when", + -7.380199432373047 + ], + [ + ";", + -7.380846977233887 + ], + [ + "▁been", + -7.38668966293335 + ], + [ + "▁other", + -7.388518333435059 + ], + [ + "ly", + -7.394660949707031 + ], + [ + "\"", + -7.407205104827881 + ], + [ + "g", + -7.407997131347656 + ], + [ + "▁cu", + -7.415276527404785 + ], + [ + "▁care", + -7.432408332824707 + ], + [ + "▁what", + -7.433043003082275 + ], + [ + "▁new", + -7.4370903968811035 + ], + [ + "or", + -7.445409774780273 + ], + [ + "▁some", + -7.461953639984131 + ], + [ + "▁get", + -7.479001998901367 + ], + [ + "▁were", + -7.491549491882324 + ], + [ + "▁just", + -7.492495536804199 + ], + [ + "▁there", + -7.493194103240967 + ], + [ + "▁would", + -7.494382381439209 + ], + [ + "S", + -7.4974141120910645 + ], + [ + "▁them", + -7.513596057891846 + ], + [ + "▁any", + -7.520544052124023 + ], + [ + ").", + -7.521052360534668 + ], + [ + "al", + -7.523056983947754 + ], + [ + "▁into", + -7.527902603149414 + ], + [ + "▁me", + -7.528337001800537 + ], + [ + "▁had", + -7.532425403594971 + ], + [ + "▁se", + -7.5451483726501465 + ], + [ + "▁make", + -7.5827131271362305 + ], + [ + "at", + -7.589433670043945 + ], + [ + "▁than", + -7.592360019683838 + ], + [ + "▁du", + -7.595852375030518 + ], + [ + "▁over", + -7.6078782081604 + ], + [ + "▁You", + -7.626111030578613 + ], + [ + "▁how", + -7.635554313659668 + ], + [ + "▁no", + -7.63729190826416 + ], + [ + "▁people", + -7.639947414398193 + ], + [ + "an", + -7.64084005355835 + ], + [ + "”", + -7.644528865814209 + ], + [ + "é", + -7.646921157836914 + ], + [ + "it", + -7.648641109466553 + ], + [ + "▁If", + -7.648687839508057 + ], + [ + "k", + -7.6605634689331055 + ], + [ + "▁pe", + -7.662139415740967 + ], + [ + "is", + -7.66726016998291 + ], + [ + "▁her", + -7.6733808517456055 + ], + [ + "▁work", + -7.680386543273926 + ], + [ + "ve", + -7.687412738800049 + ], + [ + "▁only", + -7.69785737991333 + ], + [ + "▁may", + -7.702393531799316 + ], + [ + "▁its", + -7.702449798583984 + ], + [ + "▁first", + -7.704373836517334 + ], + [ + "▁most", + -7.708309173583984 + ], + [ + "▁well", + -7.708758354187012 + ], + [ + "▁use", + -7.715085983276367 + ], + [ + "▁zu", + -7.718777656555176 + ], + [ + "▁pour", + -7.736708164215088 + ], + [ + "z", + -7.745654106140137 + ], + [ + "il", + -7.745913982391357 + ], + [ + "▁need", + -7.74778938293457 + ], + [ + "▁these", + -7.763317584991455 + ], + [ + "▁din", + -7.769891262054443 + ], + [ + "▁den", + -7.775663375854492 + ], + [ + "▁us", + -7.778133869171143 + ], + [ + "able", + -7.779712200164795 + ], + [ + "▁S", + -7.781893730163574 + ], + [ + "▁mit", + -7.792516231536865 + ], + [ + "▁very", + -7.79970645904541 + ], + [ + "▁am", + -7.814100742340088 + ], + [ + "&", + -7.829529285430908 + ], + [ + "▁au", + -7.83012056350708 + ], + [ + "▁many", + -7.83834171295166 + ], + [ + "▁mai", + -7.84363317489624 + ], + [ + "A", + -7.849830150604248 + ], + [ + "th", + -7.855541229248047 + ], + [ + "▁through", + -7.859585285186768 + ], + [ + "▁pentru", + -7.86391544342041 + ], + [ + "▁two", + -7.873607158660889 + ], + [ + "▁von", + -7.874959945678711 + ], + [ + "▁way", + -7.887117385864258 + ], + [ + "ll", + -7.887749195098877 + ], + [ + "I", + -7.891303539276123 + ], + [ + "▁ce", + -7.9015631675720215 + ], + [ + "▁și", + -7.904444694519043 + ], + [ + "▁help", + -7.907405853271484 + ], + [ + "▁best", + -7.907911777496338 + ], + [ + "),", + -7.908212184906006 + ], + [ + "un", + -7.925017833709717 + ], + [ + "▁years", + -7.925964832305908 + ], + [ + "▁2", + -7.9282684326171875 + ], + [ + "▁C", + -7.936962604522705 + ], + [ + "▁nu", + -7.939520835876465 + ], + [ + "▁good", + -7.943995952606201 + ], + [ + "v", + -7.94746732711792 + ], + [ + "▁1", + -7.94765567779541 + ], + [ + "w", + -7.947978496551514 + ], + [ + "▁das", + -7.960538864135742 + ], + [ + "▁ca", + -7.962430477142334 + ], + [ + "▁where", + -7.964908123016357 + ], + [ + "▁know", + -7.96622896194458 + ], + [ + "▁year", + -7.971063613891602 + ], + [ + "▁He", + -7.974609375 + ], + [ + "▁see", + -7.980011463165283 + ], + [ + "▁für", + -7.984004497528076 + ], + [ + "▁auf", + -7.984249114990234 + ], + [ + "▁3", + -7.984433650970459 + ], + [ + "de", + -7.985401153564453 + ], + [ + "est", + -8.002091407775879 + ], + [ + "▁back", + -8.007022857666016 + ], + [ + "▁such", + -8.008523941040039 + ], + [ + "▁should", + -8.011754989624023 + ], + [ + "x", + -8.015050888061523 + ], + [ + "▁after", + -8.01761245727539 + ], + [ + "▁could", + -8.019674301147461 + ], + [ + "▁ist", + -8.020784378051758 + ], + [ + "▁now", + -8.022845268249512 + ], + [ + "▁much", + -8.023111343383789 + ], + [ + "and", + -8.02390193939209 + ], + [ + "...", + -8.030110359191895 + ], + [ + "▁home", + -8.036273956298828 + ], + [ + "to", + -8.03821086883545 + ], + [ + "▁ein", + -8.04833984375 + ], + [ + "▁even", + -8.048656463623047 + ], + [ + "▁que", + -8.049829483032227 + ], + [ + "▁day", + -8.051553726196289 + ], + [ + "▁take", + -8.054189682006836 + ], + [ + "▁want", + -8.054435729980469 + ], + [ + "▁For", + -8.06217098236084 + ], + [ + "▁said", + -8.063249588012695 + ], + [ + "▁sur", + -8.073471069335938 + ], + [ + "▁une", + -8.077030181884766 + ], + [ + "▁să", + -8.082921028137207 + ], + [ + "▁dans", + -8.084549903869629 + ], + [ + "▁great", + -8.088057518005371 + ], + [ + "▁este", + -8.08947467803955 + ], + [ + "▁because", + -8.094311714172363 + ], + [ + "▁information", + -8.104085922241211 + ], + [ + "ului", + -8.105451583862305 + ], + [ + "▁find", + -8.112174987792969 + ], + [ + "C", + -8.119946479797363 + ], + [ + "▁she", + -8.125317573547363 + ], + [ + "▁im", + -8.126056671142578 + ], + [ + "ation", + -8.130115509033203 + ], + [ + "▁then", + -8.13021469116211 + ], + [ + "▁est", + -8.13099479675293 + ], + [ + "▁par", + -8.138585090637207 + ], + [ + "▁used", + -8.141871452331543 + ], + [ + "▁E", + -8.146790504455566 + ], + [ + "▁made", + -8.149978637695312 + ], + [ + "▁So", + -8.15785026550293 + ], + [ + "am", + -8.16288948059082 + ], + [ + "▁eine", + -8.165464401245117 + ], + [ + "▁şi", + -8.168368339538574 + ], + [ + "▁business", + -8.17335033416748 + ], + [ + "▁right", + -8.173593521118164 + ], + [ + "▁here", + -8.176125526428223 + ], + [ + "▁being", + -8.184967041015625 + ], + [ + "▁B", + -8.185355186462402 + ], + [ + "▁those", + -8.185736656188965 + ], + [ + "▁before", + -8.194721221923828 + ], + [ + "▁And", + -8.199501037597656 + ], + [ + "▁P", + -8.200712203979492 + ], + [ + "ers", + -8.200922012329102 + ], + [ + "▁don", + -8.204029083251953 + ], + [ + "B", + -8.20487117767334 + ], + [ + "▁life", + -8.206265449523926 + ], + [ + "▁go", + -8.209736824035645 + ], + [ + "▁As", + -8.210551261901855 + ], + [ + "▁M", + -8.221170425415039 + ], + [ + "▁each", + -8.22955322265625 + ], + [ + "▁qui", + -8.23323917388916 + ], + [ + "▁place", + -8.236248970031738 + ], + [ + "com", + -8.237479209899902 + ], + [ + "ant", + -8.252915382385254 + ], + [ + "▁sich", + -8.255932807922363 + ], + [ + "▁There", + -8.261948585510254 + ], + [ + "ar", + -8.264991760253906 + ], + [ + "▁Sie", + -8.273868560791016 + ], + [ + "▁own", + -8.277531623840332 + ], + [ + "▁part", + -8.279440879821777 + ], + [ + "ent", + -8.281047821044922 + ], + [ + "▁world", + -8.28173542022705 + ], + [ + "ment", + -8.282004356384277 + ], + [ + "▁while", + -8.294474601745605 + ], + [ + "▁But", + -8.295366287231445 + ], + [ + "▁around", + -8.300799369812012 + ], + [ + "▁L", + -8.301082611083984 + ], + [ + "us", + -8.304039001464844 + ], + [ + "▁plus", + -8.313054084777832 + ], + [ + "▁To", + -8.313691139221191 + ], + [ + "▁5", + -8.31412410736084 + ], + [ + "▁high", + -8.31862735748291 + ], + [ + "▁long", + -8.319378852844238 + ], + [ + "D", + -8.320075035095215 + ], + [ + "▁D", + -8.320279121398926 + ], + [ + "▁really", + -8.322924613952637 + ], + [ + "▁nicht", + -8.332040786743164 + ], + [ + "▁Le", + -8.335328102111816 + ], + [ + "▁service", + -8.3412504196167 + ], + [ + "▁4", + -8.342093467712402 + ], + [ + "▁different", + -8.342538833618164 + ], + [ + "▁Die", + -8.348092079162598 + ], + [ + "▁think", + -8.353771209716797 + ], + [ + "—", + -8.355998039245605 + ], + [ + "▁auch", + -8.357160568237305 + ], + [ + "▁look", + -8.362202644348145 + ], + [ + "▁both", + -8.366817474365234 + ], + [ + "lor", + -8.36687183380127 + ], + [ + "▁down", + -8.367999076843262 + ], + [ + "ten", + -8.368885040283203 + ], + [ + "▁La", + -8.378066062927246 + ], + [ + "▁off", + -8.380044937133789 + ], + [ + "▁vous", + -8.380541801452637 + ], + [ + "▁They", + -8.381462097167969 + ], + [ + "M", + -8.383248329162598 + ], + [ + "▁pas", + -8.384513854980469 + ], + [ + "▁data", + -8.385709762573242 + ], + [ + "▁T", + -8.386754989624023 + ], + [ + "▁love", + -8.388101577758789 + ], + [ + "▁every", + -8.390009880065918 + ], + [ + "▁10", + -8.391179084777832 + ], + [ + "▁last", + -8.392083168029785 + ], + [ + "▁same", + -8.393481254577637 + ], + [ + "▁using", + -8.395487785339355 + ], + [ + "▁free", + -8.408831596374512 + ], + [ + "▁dem", + -8.40894889831543 + ], + [ + "▁still", + -8.409984588623047 + ], + [ + "ate", + -8.410931587219238 + ], + [ + "ist", + -8.415611267089844 + ], + [ + "▁between", + -8.420283317565918 + ], + [ + "P", + -8.420982360839844 + ], + [ + "be", + -8.428167343139648 + ], + [ + "▁available", + -8.429443359375 + ], + [ + "man", + -8.432978630065918 + ], + [ + "▁company", + -8.439678192138672 + ], + [ + "▁G", + -8.441640853881836 + ], + [ + "▁experience", + -8.444950103759766 + ], + [ + "▁going", + -8.449073791503906 + ], + [ + "▁site", + -8.453832626342773 + ], + [ + "j", + -8.455142974853516 + ], + [ + "are", + -8.456900596618652 + ], + [ + "▁set", + -8.470661163330078 + ], + [ + "2", + -8.473684310913086 + ], + [ + "▁system", + -8.474678039550781 + ], + [ + "▁important", + -8.476791381835938 + ], + [ + "▁few", + -8.482437133789062 + ], + [ + "▁fi", + -8.482551574707031 + ], + [ + "ich", + -8.483301162719727 + ], + [ + "▁What", + -8.488649368286133 + ], + [ + "▁services", + -8.502433776855469 + ], + [ + "▁under", + -8.502569198608398 + ], + [ + "▁When", + -8.50308895111084 + ], + [ + "▁online", + -8.50699520111084 + ], + [ + "▁New", + -8.51494312286377 + ], + [ + "▁come", + -8.524871826171875 + ], + [ + "▁provide", + -8.525650024414062 + ], + [ + "F", + -8.526449203491211 + ], + [ + "▁team", + -8.52782154083252 + ], + [ + "▁always", + -8.529409408569336 + ], + [ + "▁De", + -8.530412673950195 + ], + [ + "▁că", + -8.532517433166504 + ], + [ + "▁him", + -8.53586196899414 + ], + [ + "▁F", + -8.538305282592773 + ], + [ + "▁things", + -8.550079345703125 + ], + [ + "▁including", + -8.550943374633789 + ], + [ + "▁support", + -8.552608489990234 + ], + [ + "▁number", + -8.554113388061523 + ], + [ + "T", + -8.557183265686035 + ], + [ + "▁during", + -8.55886459350586 + ], + [ + "▁family", + -8.560463905334473 + ], + [ + "▁little", + -8.561317443847656 + ], + [ + "▁three", + -8.567726135253906 + ], + [ + "▁water", + -8.56810188293457 + ], + [ + "▁man", + -8.569759368896484 + ], + [ + "▁An", + -8.57192611694336 + ], + [ + "based", + -8.572155952453613 + ], + [ + "▁R", + -8.57442855834961 + ], + [ + "▁sau", + -8.574433326721191 + ], + [ + "▁avec", + -8.576035499572754 + ], + [ + "▁better", + -8.576830863952637 + ], + [ + "▁„", + -8.582253456115723 + ], + [ + "▁too", + -8.58635425567627 + ], + [ + "ge", + -8.586719512939453 + ], + [ + "▁must", + -8.589736938476562 + ], + [ + "▁per", + -8.589916229248047 + ], + [ + "ele", + -8.590399742126465 + ], + [ + "▁oder", + -8.59264850616455 + ], + [ + "au", + -8.59555435180664 + ], + [ + "▁aus", + -8.595727920532227 + ], + [ + "▁werden", + -8.598653793334961 + ], + [ + "▁does", + -8.599140167236328 + ], + [ + "▁without", + -8.599270820617676 + ], + [ + "▁ou", + -8.599929809570312 + ], + [ + "▁design", + -8.60101318359375 + ], + [ + "▁va", + -8.605440139770508 + ], + [ + "▁did", + -8.615679740905762 + ], + [ + "▁O", + -8.619062423706055 + ], + [ + "▁U", + -8.623565673828125 + ], + [ + "up", + -8.62901496887207 + ], + [ + "▁end", + -8.63367748260498 + ], + [ + "▁local", + -8.636231422424316 + ], + [ + "▁next", + -8.638967514038086 + ], + [ + "▁sure", + -8.64098072052002 + ], + [ + "▁lot", + -8.64644718170166 + ], + [ + "▁Re", + -8.647016525268555 + ], + [ + "▁top", + -8.647642135620117 + ], + [ + "▁Our", + -8.656886100769043 + ], + [ + "▁small", + -8.656978607177734 + ], + [ + "▁full", + -8.659418106079102 + ], + [ + "▁something", + -8.662886619567871 + ], + [ + "ung", + -8.666722297668457 + ], + [ + "▁vor", + -8.673250198364258 + ], + [ + "E", + -8.673337936401367 + ], + [ + "▁give", + -8.67603588104248 + ], + [ + "▁might", + -8.67660903930664 + ], + [ + "▁another", + -8.679330825805664 + ], + [ + "▁6", + -8.680779457092285 + ], + [ + "▁All", + -8.681318283081055 + ], + [ + "▁process", + -8.681672096252441 + ], + [ + "L", + -8.682575225830078 + ], + [ + "▁found", + -8.68941593170166 + ], + [ + "▁sind", + -8.690044403076172 + ], + [ + "▁since", + -8.69528865814209 + ], + [ + "▁With", + -8.695560455322266 + ], + [ + "K", + -8.696988105773926 + ], + [ + "um", + -8.701016426086426 + ], + [ + "▁within", + -8.701669692993164 + ], + [ + "▁post", + -8.706608772277832 + ], + [ + "▁car", + -8.709365844726562 + ], + [ + "une", + -8.714099884033203 + ], + [ + "▁N", + -8.715041160583496 + ], + [ + "▁J", + -8.715597152709961 + ], + [ + "ic", + -8.71823787689209 + ], + [ + "R", + -8.722309112548828 + ], + [ + "ter", + -8.727437019348145 + ], + [ + "ur", + -8.728265762329102 + ], + [ + "▁She", + -8.73131275177002 + ], + [ + "▁public", + -8.732009887695312 + ], + [ + "▁keep", + -8.735784530639648 + ], + [ + "▁H", + -8.736178398132324 + ], + [ + "▁order", + -8.740762710571289 + ], + [ + "▁start", + -8.742195129394531 + ], + [ + "ez", + -8.74746322631836 + ], + [ + "▁‘", + -8.749832153320312 + ], + [ + "uri", + -8.751104354858398 + ], + [ + "▁20", + -8.752482414245605 + ], + [ + "▁On", + -8.753515243530273 + ], + [ + "▁offer", + -8.763005256652832 + ], + [ + "▁quality", + -8.764988899230957 + ], + [ + "▁working", + -8.769987106323242 + ], + [ + "▁No", + -8.770307540893555 + ], + [ + "▁That", + -8.775156021118164 + ], + [ + "▁game", + -8.7863187789917 + ], + [ + "▁bei", + -8.786642074584961 + ], + [ + "▁today", + -8.788661003112793 + ], + [ + "▁never", + -8.794586181640625 + ], + [ + "▁week", + -8.79587173461914 + ], + [ + "▁St", + -8.797786712646484 + ], + [ + "▁feel", + -8.799317359924316 + ], + [ + "▁put", + -8.801899909973145 + ], + [ + "▁website", + -8.80322265625 + ], + [ + "Y", + -8.804483413696289 + ], + [ + "▁days", + -8.804709434509277 + ], + [ + "▁program", + -8.805448532104492 + ], + [ + "▁looking", + -8.810463905334473 + ], + [ + "▁K", + -8.810808181762695 + ], + [ + "▁students", + -8.811436653137207 + ], + [ + "▁create", + -8.811800956726074 + ], + [ + "▁change", + -8.812616348266602 + ], + [ + "▁book", + -8.812932014465332 + ], + [ + "ity", + -8.813761711120605 + ], + [ + "▁At", + -8.815207481384277 + ], + [ + "▁possible", + -8.815670013427734 + ], + [ + "▁sunt", + -8.81651496887207 + ], + [ + "▁7", + -8.818120002746582 + ], + [ + "▁real", + -8.823369026184082 + ], + [ + "▁al", + -8.824172019958496 + ], + [ + "▁making", + -8.825371742248535 + ], + [ + "▁Be", + -8.825761795043945 + ], + [ + "▁products", + -8.82592487335205 + ], + [ + "▁case", + -8.82653522491455 + ], + [ + "▁school", + -8.8272066116333 + ], + [ + "▁say", + -8.830352783203125 + ], + [ + "area", + -8.832084655761719 + ], + [ + "▁My", + -8.833836555480957 + ], + [ + "▁point", + -8.834731101989746 + ], + [ + "▁als", + -8.83560848236084 + ], + [ + "▁children", + -8.836194038391113 + ], + [ + "▁course", + -8.844061851501465 + ], + [ + "▁show", + -8.847993850708008 + ], + [ + "▁8", + -8.849273681640625 + ], + [ + "▁These", + -8.849345207214355 + ], + [ + "▁18", + -8.851140975952148 + ], + [ + "▁large", + -8.851323127746582 + ], + [ + "co", + -8.854362487792969 + ], + [ + "▁über", + -8.854788780212402 + ], + [ + "▁second", + -8.856559753417969 + ], + [ + "▁market", + -8.859807014465332 + ], + [ + "▁fost", + -8.86048698425293 + ], + [ + "▁easy", + -8.863983154296875 + ], + [ + "▁plan", + -8.864302635192871 + ], + [ + "▁project", + -8.864927291870117 + ], + [ + "G", + -8.865178108215332 + ], + [ + "W", + -8.869574546813965 + ], + [ + "3", + -8.871939659118652 + ], + [ + "▁son", + -8.873332023620605 + ], + [ + "la", + -8.879053115844727 + ], + [ + "▁face", + -8.88137435913086 + ], + [ + "▁needs", + -8.88148021697998 + ], + [ + "ch", + -8.883138656616211 + ], + [ + "▁personal", + -8.88343620300293 + ], + [ + "me", + -8.886031150817871 + ], + [ + "▁sont", + -8.887377738952637 + ], + [ + "▁je", + -8.894930839538574 + ], + [ + "▁non", + -8.895471572875977 + ], + [ + "▁got", + -8.896591186523438 + ], + [ + "▁Do", + -8.897382736206055 + ], + [ + "the", + -8.89765453338623 + ], + [ + "▁health", + -8.89908504486084 + ], + [ + "▁special", + -8.90555477142334 + ], + [ + ".\"", + -8.907710075378418 + ], + [ + "1", + -8.907852172851562 + ], + [ + "den", + -8.908616065979004 + ], + [ + "▁state", + -8.909355163574219 + ], + [ + "▁open", + -8.91019058227539 + ], + [ + "▁money", + -8.91053581237793 + ], + [ + "▁again", + -8.913084983825684 + ], + [ + "▁food", + -8.913167953491211 + ], + [ + "▁page", + -8.914595603942871 + ], + [ + "▁together", + -8.91628360748291 + ], + [ + "age", + -8.919108390808105 + ], + [ + "▁qu", + -8.921928405761719 + ], + [ + "hat", + -8.922386169433594 + ], + [ + "▁ver", + -8.926993370056152 + ], + [ + "▁W", + -8.927785873413086 + ], + [ + "▁away", + -8.928759574890137 + ], + [ + "▁wird", + -8.931641578674316 + ], + [ + "▁until", + -8.934249877929688 + ], + [ + "V", + -8.934935569763184 + ], + [ + "▁pre", + -8.935851097106934 + ], + [ + "▁One", + -8.936429977416992 + ], + [ + "▁product", + -8.936561584472656 + ], + [ + "▁often", + -8.939326286315918 + ], + [ + "▁wir", + -8.944111824035645 + ], + [ + "▁nach", + -8.945127487182617 + ], + [ + "▁include", + -8.946555137634277 + ], + [ + "▁um", + -8.948204040527344 + ], + [ + "▁room", + -8.953709602355957 + ], + [ + "▁group", + -8.953767776489258 + ], + [ + "▁name", + -8.954949378967285 + ], + [ + "ce", + -8.955448150634766 + ], + [ + "H", + -8.956180572509766 + ], + [ + "N", + -8.958139419555664 + ], + [ + "▁person", + -8.958183288574219 + ], + [ + "▁social", + -8.958606719970703 + ], + [ + "▁list", + -8.963666915893555 + ], + [ + "▁How", + -8.964127540588379 + ], + [ + "▁why", + -8.96571159362793 + ], + [ + "▁community", + -8.965995788574219 + ], + [ + "▁contact", + -8.973031044006348 + ], + [ + "­", + -8.9755859375 + ], + [ + "▁co", + -8.979683876037598 + ], + [ + "▁play", + -8.983960151672363 + ], + [ + "▁having", + -8.984169960021973 + ], + [ + "▁power", + -8.986917495727539 + ], + [ + "▁call", + -8.991690635681152 + ], + [ + "▁against", + -8.991816520690918 + ], + [ + "▁become", + -8.997780799865723 + ], + [ + "▁cost", + -9.003793716430664 + ], + [ + "▁V", + -9.004593849182129 + ], + [ + "▁research", + -9.006913185119629 + ], + [ + "▁12", + -9.007307052612305 + ], + [ + "▁wie", + -9.008277893066406 + ], + [ + "der", + -9.008386611938477 + ], + [ + "▁thing", + -9.014028549194336 + ], + [ + "▁along", + -9.017301559448242 + ], + [ + "4", + -9.017330169677734 + ], + [ + "▁access", + -9.020391464233398 + ], + [ + "▁level", + -9.020505905151367 + ], + [ + "▁price", + -9.022817611694336 + ], + [ + "▁einen", + -9.023714065551758 + ], + [ + "▁side", + -9.026359558105469 + ], + [ + "▁Un", + -9.026851654052734 + ], + [ + "▁means", + -9.030416488647461 + ], + [ + "(", + -9.032341957092285 + ], + [ + "▁big", + -9.034374237060547 + ], + [ + "▁God", + -9.036499977111816 + ], + [ + "▁dass", + -9.037314414978027 + ], + [ + "im", + -9.037374496459961 + ], + [ + "▁30", + -9.037432670593262 + ], + [ + "▁event", + -9.041665077209473 + ], + [ + "▁development", + -9.042060852050781 + ], + [ + "▁form", + -9.04226303100586 + ], + [ + "▁read", + -9.042579650878906 + ], + [ + "▁hand", + -9.043194770812988 + ], + [ + "▁control", + -9.04446792602539 + ], + [ + "▁However", + -9.046320915222168 + ], + [ + "▁done", + -9.048060417175293 + ], + [ + "▁job", + -9.051692008972168 + ], + [ + "▁hard", + -9.056619644165039 + ], + [ + "▁war", + -9.057538032531738 + ], + [ + "▁area", + -9.0584135055542 + ], + [ + "▁add", + -9.0586576461792 + ], + [ + "▁votre", + -9.0593900680542 + ], + [ + "▁live", + -9.059494018554688 + ], + [ + "▁range", + -9.060099601745605 + ], + [ + "▁After", + -9.060164451599121 + ], + [ + "▁Les", + -9.060513496398926 + ], + [ + "▁far", + -9.064413070678711 + ], + [ + "ver", + -9.064727783203125 + ], + [ + "▁old", + -9.069576263427734 + ], + [ + "▁perfect", + -9.06976318359375 + ], + [ + "▁15", + -9.070429801940918 + ], + [ + "▁space", + -9.073654174804688 + ], + [ + "▁house", + -9.074068069458008 + ], + [ + "ine", + -9.07408618927002 + ], + [ + "▁enough", + -9.074334144592285 + ], + [ + "0", + -9.075824737548828 + ], + [ + "▁several", + -9.077119827270508 + ], + [ + "The", + -9.081155776977539 + ], + [ + "mm", + -9.085619926452637 + ], + [ + "▁University", + -9.08637523651123 + ], + [ + "▁diese", + -9.087566375732422 + ], + [ + "▁Co", + -9.088335990905762 + ], + [ + "▁comes", + -9.088497161865234 + ], + [ + "▁across", + -9.088857650756836 + ], + [ + "▁already", + -9.090097427368164 + ], + [ + ",”", + -9.090341567993164 + ], + [ + "▁body", + -9.09276294708252 + ], + [ + "▁Das", + -9.094594955444336 + ], + [ + "▁einer", + -9.095956802368164 + ], + [ + "▁left", + -9.09921646118164 + ], + [ + "▁future", + -9.105711936950684 + ], + [ + "▁times", + -9.106670379638672 + ], + [ + "▁dar", + -9.109651565551758 + ], + [ + "▁simple", + -9.110408782958984 + ], + [ + "ry", + -9.112407684326172 + ], + [ + "▁getting", + -9.113155364990234 + ], + [ + "▁try", + -9.115362167358398 + ], + [ + "ți", + -9.116897583007812 + ], + [ + "ness", + -9.120043754577637 + ], + [ + "▁makes", + -9.120377540588379 + ], + [ + "▁past", + -9.120619773864746 + ], + [ + "ca", + -9.12130069732666 + ], + [ + "▁light", + -9.122207641601562 + ], + [ + "▁Der", + -9.122997283935547 + ], + [ + "▁run", + -9.125843048095703 + ], + [ + "▁four", + -9.126943588256836 + ], + [ + "ance", + -9.130500793457031 + ], + [ + "▁ever", + -9.131503105163574 + ], + [ + "▁einem", + -9.131816864013672 + ], + [ + "▁below", + -9.133723258972168 + ], + [ + "O", + -9.134073257446289 + ], + [ + "▁9", + -9.137282371520996 + ], + [ + "▁learn", + -9.14004135131836 + ], + [ + "out", + -9.140358924865723 + ], + [ + "▁video", + -9.143178939819336 + ], + [ + "▁etc", + -9.146929740905762 + ], + [ + "▁«", + -9.148795127868652 + ], + [ + "▁zum", + -9.149712562561035 + ], + [ + "▁kann", + -9.1504487991333 + ], + [ + "▁minutes", + -9.151180267333984 + ], + [ + "▁example", + -9.154194831848145 + ], + [ + "▁nous", + -9.154619216918945 + ], + [ + "▁Se", + -9.157441139221191 + ], + [ + "▁sie", + -9.159955024719238 + ], + [ + "▁industry", + -9.161614418029785 + ], + [ + "▁problem", + -9.162016868591309 + ], + [ + "J", + -9.162480354309082 + ], + [ + "▁country", + -9.163366317749023 + ], + [ + "▁fact", + -9.164189338684082 + ], + [ + "▁type", + -9.164190292358398 + ], + [ + "ner", + -9.164238929748535 + ], + [ + "▁companies", + -9.165864944458008 + ], + [ + "▁line", + -9.169849395751953 + ], + [ + "▁city", + -9.172713279724121 + ], + [ + "▁check", + -9.173710823059082 + ], + [ + "▁doing", + -9.174406051635742 + ], + [ + "elle", + -9.175037384033203 + ], + [ + "▁fun", + -9.176549911499023 + ], + [ + "▁En", + -9.177546501159668 + ], + [ + "▁Your", + -9.178601264953613 + ], + [ + "ling", + -9.181450843811035 + ], + [ + "▁share", + -9.18185806274414 + ], + [ + "ile", + -9.182005882263184 + ], + [ + "▁actually", + -9.187544822692871 + ], + [ + "▁value", + -9.187751770019531 + ], + [ + "zi", + -9.188661575317383 + ], + [ + "▁ab", + -9.1898832321167 + ], + [ + "▁offers", + -9.1905517578125 + ], + [ + "▁less", + -9.190573692321777 + ], + [ + "▁night", + -9.193560600280762 + ], + [ + "▁Dr", + -9.19518756866455 + ], + [ + "▁started", + -9.195454597473145 + ], + [ + "▁least", + -9.198020935058594 + ], + [ + "▁short", + -9.198562622070312 + ], + [ + "▁main", + -9.201143264770508 + ], + [ + "▁single", + -9.202939987182617 + ], + [ + "▁though", + -9.203780174255371 + ], + [ + "▁prin", + -9.203930854797363 + ], + [ + "time", + -9.20531177520752 + ], + [ + "▁hours", + -9.206608772277832 + ], + [ + "▁others", + -9.206849098205566 + ], + [ + "▁called", + -9.20730209350586 + ], + [ + "▁visit", + -9.208869934082031 + ], + [ + "▁bit", + -9.209009170532227 + ], + [ + "ée", + -9.210821151733398 + ], + [ + "▁customers", + -9.211383819580078 + ], + [ + "▁music", + -9.212000846862793 + ], + [ + "▁members", + -9.217191696166992 + ], + [ + "ies", + -9.21743392944336 + ], + [ + "▁pay", + -9.219176292419434 + ], + [ + "nd", + -9.219744682312012 + ], + [ + "▁once", + -9.221125602722168 + ], + [ + "gen", + -9.2217378616333 + ], + [ + "▁können", + -9.222976684570312 + ], + [ + "▁low", + -9.223771095275879 + ], + [ + "▁durch", + -9.227394104003906 + ], + [ + "▁story", + -9.228075981140137 + ], + [ + "▁understand", + -9.22953987121582 + ], + [ + "“", + -9.229856491088867 + ], + [ + "▁Am", + -9.231831550598145 + ], + [ + "▁didn", + -9.234603881835938 + ], + [ + "▁content", + -9.237217903137207 + ], + [ + "son", + -9.24180793762207 + ], + [ + "▁building", + -9.242242813110352 + ], + [ + "▁result", + -9.242605209350586 + ], + [ + "▁aux", + -9.243107795715332 + ], + [ + "▁complete", + -9.244999885559082 + ], + [ + "▁doesn", + -9.24510669708252 + ], + [ + "▁haben", + -9.246070861816406 + ], + [ + "▁questions", + -9.24661636352539 + ], + [ + "line", + -9.247077941894531 + ], + [ + "▁technology", + -9.247429847717285 + ], + [ + "▁Pro", + -9.247976303100586 + ], + [ + "▁current", + -9.248504638671875 + ], + [ + "▁won", + -9.248883247375488 + ], + [ + "▁let", + -9.250710487365723 + ], + [ + "▁features", + -9.251978874206543 + ], + [ + "▁please", + -9.258262634277344 + ], + [ + "5", + -9.258519172668457 + ], + [ + "▁above", + -9.259394645690918 + ], + [ + "ive", + -9.262128829956055 + ], + [ + "▁management", + -9.262394905090332 + ], + [ + "▁lui", + -9.262539863586426 + ], + [ + "her", + -9.263057708740234 + ], + [ + "▁training", + -9.265711784362793 + ], + [ + "▁everything", + -9.2665433883667 + ], + [ + "▁noch", + -9.266846656799316 + ], + [ + "▁came", + -9.267708778381348 + ], + [ + "▁web", + -9.272823333740234 + ], + [ + "▁ensure", + -9.272987365722656 + ], + [ + "▁months", + -9.273130416870117 + ], + [ + "▁art", + -9.27313232421875 + ], + [ + "▁sub", + -9.274359703063965 + ], + [ + "▁million", + -9.274559020996094 + ], + [ + "▁professional", + -9.275035858154297 + ], + [ + "▁results", + -9.278368949890137 + ], + [ + "▁kind", + -9.278395652770996 + ], + [ + "▁season", + -9.279285430908203 + ], + [ + "▁unique", + -9.281067848205566 + ], + [ + "ze", + -9.284360885620117 + ], + [ + "▁enjoy", + -9.28487777709961 + ], + [ + "▁early", + -9.287765502929688 + ], + [ + "▁major", + -9.288202285766602 + ], + [ + "▁yet", + -9.29152774810791 + ], + [ + "▁Ver", + -9.293331146240234 + ], + [ + "one", + -9.296777725219727 + ], + [ + "▁media", + -9.29719352722168 + ], + [ + "▁[", + -9.30095100402832 + ], + [ + "▁property", + -9.302969932556152 + ], + [ + "▁beautiful", + -9.304466247558594 + ], + [ + "▁given", + -9.305286407470703 + ], + [ + "▁due", + -9.306716918945312 + ], + [ + "▁government", + -9.307181358337402 + ], + [ + "▁nur", + -9.30881404876709 + ], + [ + "▁email", + -9.309103012084961 + ], + [ + "▁total", + -9.311080932617188 + ], + [ + "▁natural", + -9.311264038085938 + ], + [ + "▁test", + -9.311450004577637 + ], + [ + "▁provides", + -9.311640739440918 + ], + [ + "▁various", + -9.312631607055664 + ], + [ + "▁American", + -9.315605163574219 + ], + [ + "▁moment", + -9.318109512329102 + ], + [ + "▁air", + -9.318952560424805 + ], + [ + "▁idea", + -9.319236755371094 + ], + [ + "▁known", + -9.319981575012207 + ], + [ + "▁Il", + -9.320504188537598 + ], + [ + "▁friends", + -9.320576667785645 + ], + [ + "▁final", + -9.320919036865234 + ], + [ + "▁buy", + -9.32139778137207 + ], + [ + "▁specific", + -9.322234153747559 + ], + [ + "▁issues", + -9.32454776763916 + ], + [ + "▁took", + -9.325233459472656 + ], + [ + "▁mind", + -9.326258659362793 + ], + [ + "▁study", + -9.32675838470459 + ], + [ + "▁addition", + -9.328418731689453 + ], + [ + "▁size", + -9.332446098327637 + ], + [ + "▁pro", + -9.334047317504883 + ], + [ + "▁film", + -9.33545970916748 + ], + [ + "▁pot", + -9.335636138916016 + ], + [ + "▁thought", + -9.338120460510254 + ], + [ + "▁tell", + -9.33890438079834 + ], + [ + "▁While", + -9.339675903320312 + ], + [ + "▁head", + -9.339983940124512 + ], + [ + "▁clients", + -9.340429306030273 + ], + [ + "▁performance", + -9.346199989318848 + ], + [ + "▁question", + -9.346835136413574 + ], + [ + "▁whether", + -9.347925186157227 + ], + [ + "▁certain", + -9.34826946258545 + ], + [ + "▁model", + -9.348764419555664 + ], + [ + "▁following", + -9.350926399230957 + ], + [ + "▁energy", + -9.354207992553711 + ], + [ + "▁office", + -9.354207992553711 + ], + [ + "▁whole", + -9.356687545776367 + ], + [ + "▁bring", + -9.356956481933594 + ], + [ + "▁required", + -9.35726261138916 + ], + [ + "ţi", + -9.358223915100098 + ], + [ + "▁date", + -9.358695030212402 + ], + [ + "_", + -9.358983039855957 + ], + [ + "que", + -9.359789848327637 + ], + [ + "▁da", + -9.360264778137207 + ], + [ + "▁US", + -9.36120319366455 + ], + [ + "▁taking", + -9.36143684387207 + ], + [ + "go", + -9.362788200378418 + ], + [ + "▁living", + -9.36341667175293 + ], + [ + "▁someone", + -9.363489151000977 + ], + [ + "▁heart", + -9.365120887756348 + ], + [ + "▁key", + -9.365775108337402 + ], + [ + "▁areas", + -9.366238594055176 + ], + [ + "▁says", + -9.367013931274414 + ], + [ + "▁2018", + -9.369132041931152 + ], + [ + "▁month", + -9.37012767791748 + ], + [ + "▁Er", + -9.371354103088379 + ], + [ + "ste", + -9.375077247619629 + ], + [ + "▁11", + -9.375179290771484 + ], + [ + "▁front", + -9.37528133392334 + ], + [ + "▁Now", + -9.37669563293457 + ], + [ + "▁class", + -9.376946449279785 + ], + [ + "▁choose", + -9.377082824707031 + ], + [ + "pe", + -9.37808609008789 + ], + [ + "▁further", + -9.379021644592285 + ], + [ + "▁believe", + -9.37936019897461 + ], + [ + "of", + -9.379590034484863 + ], + [ + "▁among", + -9.380990982055664 + ], + [ + "sch", + -9.381686210632324 + ], + [ + "▁child", + -9.382609367370605 + ], + [ + "▁aber", + -9.38376235961914 + ], + [ + "▁Please", + -9.386269569396973 + ], + [ + "rea", + -9.387248992919922 + ], + [ + "▁later", + -9.387272834777832 + ], + [ + "▁amount", + -9.388760566711426 + ], + [ + "ice", + -9.390128135681152 + ], + [ + "▁National", + -9.390177726745605 + ], + [ + "▁style", + -9.390748977661133 + ], + [ + "▁tout", + -9.391490936279297 + ], + [ + "▁staff", + -9.392939567565918 + ], + [ + "▁white", + -9.397933959960938 + ], + [ + "▁ge", + -9.399179458618164 + ], + [ + "▁five", + -9.400984764099121 + ], + [ + "▁blog", + -9.40109920501709 + ], + [ + "▁designed", + -9.40125846862793 + ], + [ + "▁went", + -9.402216911315918 + ], + [ + "▁Da", + -9.40268611907959 + ], + [ + "▁general", + -9.403801918029785 + ], + [ + "▁rest", + -9.403874397277832 + ], + [ + "▁zur", + -9.40579891204834 + ], + [ + "▁quite", + -9.405948638916016 + ], + [ + "per", + -9.40687084197998 + ], + [ + "▁customer", + -9.408379554748535 + ], + [ + "▁close", + -9.408747673034668 + ], + [ + "▁Some", + -9.41054630279541 + ], + [ + "▁women", + -9.41075611114502 + ], + [ + "▁move", + -9.410761833190918 + ], + [ + "▁software", + -9.411357879638672 + ], + [ + "▁Ein", + -9.413651466369629 + ], + [ + "▁Ab", + -9.413823127746582 + ], + [ + "▁history", + -9.413864135742188 + ], + [ + "▁either", + -9.41564655303955 + ], + [ + "▁seen", + -9.417396545410156 + ], + [ + "▁card", + -9.419726371765137 + ], + [ + "▁City", + -9.421541213989258 + ], + [ + "▁hope", + -9.421769142150879 + ], + [ + "▁16", + -9.422072410583496 + ], + [ + "és", + -9.422825813293457 + ], + [ + "va", + -9.423294067382812 + ], + [ + "▁Al", + -9.423827171325684 + ], + [ + "▁especially", + -9.424827575683594 + ], + [ + "▁view", + -9.426136016845703 + ], + [ + "men", + -9.427363395690918 + ], + [ + "▁account", + -9.427489280700684 + ], + [ + "▁needed", + -9.429777145385742 + ], + [ + "▁United", + -9.429789543151855 + ], + [ + "]", + -9.432387351989746 + ], + [ + "▁yourself", + -9.432788848876953 + ], + [ + "▁100", + -9.433059692382812 + ], + [ + "▁receive", + -9.433417320251465 + ], + [ + "▁ideas", + -9.43369197845459 + ], + [ + "▁writing", + -9.434585571289062 + ], + [ + "▁simply", + -9.434741973876953 + ], + [ + "▁present", + -9.435087203979492 + ], + [ + "▁continue", + -9.436107635498047 + ], + [ + "▁application", + -9.44115161895752 + ], + [ + "▁build", + -9.44187068939209 + ], + [ + "▁turn", + -9.44249439239502 + ], + [ + "ated", + -9.442923545837402 + ], + [ + "▁everyone", + -9.443060874938965 + ], + [ + "cette", + -9.443114280700684 + ], + [ + "▁bien", + -9.444964408874512 + ], + [ + "less", + -9.445222854614258 + ], + [ + "▁Si", + -9.445359230041504 + ], + [ + "▁original", + -9.446867942810059 + ], + [ + "8", + -9.44794750213623 + ], + [ + "▁individual", + -9.448895454406738 + ], + [ + "tre", + -9.449433326721191 + ], + [ + "▁works", + -9.45171070098877 + ], + [ + "▁options", + -9.451821327209473 + ], + [ + "▁May", + -9.454456329345703 + ], + [ + "▁Not", + -9.454940795898438 + ], + [ + "▁report", + -9.455467224121094 + ], + [ + "mer", + -9.457239151000977 + ], + [ + "▁human", + -9.459118843078613 + ], + [ + "▁provided", + -9.459603309631348 + ], + [ + "▁By", + -9.460925102233887 + ], + [ + "▁series", + -9.462006568908691 + ], + [ + "7", + -9.46226692199707 + ], + [ + "▁modern", + -9.463875770568848 + ], + [ + "▁meet", + -9.463921546936035 + ], + [ + "▁50", + -9.464119911193848 + ], + [ + "▁25", + -9.46969985961914 + ], + [ + "▁color", + -9.470091819763184 + ], + [ + "▁download", + -9.470109939575195 + ], + [ + "▁Here", + -9.471144676208496 + ], + [ + "6", + -9.471323013305664 + ], + [ + "▁poate", + -9.471449851989746 + ], + [ + "▁În", + -9.472321510314941 + ], + [ + "▁phone", + -9.473695755004883 + ], + [ + "▁likely", + -9.474374771118164 + ], + [ + "▁table", + -9.476469993591309 + ], + [ + "▁ma", + -9.476551055908203 + ], + [ + "▁Or", + -9.479181289672852 + ], + [ + "Z", + -9.48026180267334 + ], + [ + "▁19", + -9.482215881347656 + ], + [ + "▁insurance", + -9.482544898986816 + ], + [ + "▁anything", + -9.483808517456055 + ], + [ + "▁search", + -9.485033988952637 + ], + [ + "▁Ge", + -9.48520565032959 + ], + [ + "▁issue", + -9.485564231872559 + ], + [ + "▁includes", + -9.485688209533691 + ], + [ + "▁clear", + -9.487342834472656 + ], + [ + "les", + -9.488021850585938 + ], + [ + "▁almost", + -9.488259315490723 + ], + [ + "ilor", + -9.48935317993164 + ], + [ + "▁14", + -9.490717887878418 + ], + [ + "by", + -9.494056701660156 + ], + [ + "▁Du", + -9.49624252319336 + ], + [ + "▁mais", + -9.497303009033203 + ], + [ + "ier", + -9.499163627624512 + ], + [ + "▁law", + -9.49924087524414 + ], + [ + "▁added", + -9.500134468078613 + ], + [ + "▁con", + -9.500962257385254 + ], + [ + ",\"", + -9.501530647277832 + ], + [ + "▁ago", + -9.502127647399902 + ], + [ + "▁His", + -9.504697799682617 + ], + [ + "▁points", + -9.504981994628906 + ], + [ + "▁mult", + -9.505581855773926 + ], + [ + "▁financial", + -9.506216049194336 + ], + [ + "▁problems", + -9.506428718566895 + ], + [ + "▁however", + -9.50648307800293 + ], + [ + "▁events", + -9.50675106048584 + ], + [ + "▁half", + -9.507889747619629 + ], + [ + "ard", + -9.511183738708496 + ], + [ + "▁ask", + -9.51156997680664 + ], + [ + "▁version", + -9.511631965637207 + ], + [ + "end", + -9.512478828430176 + ], + [ + "▁created", + -9.512639999389648 + ], + [ + "▁lead", + -9.512917518615723 + ], + [ + "▁focus", + -9.513853073120117 + ], + [ + "▁increase", + -9.515096664428711 + ], + [ + "ex", + -9.515118598937988 + ], + [ + "▁allow", + -9.515798568725586 + ], + [ + "▁extra", + -9.516464233398438 + ], + [ + "▁24", + -9.516692161560059 + ], + [ + "▁credit", + -9.516772270202637 + ], + [ + "▁production", + -9.516801834106445 + ], + [ + "zu", + -9.517256736755371 + ], + [ + "▁black", + -9.51754093170166 + ], + [ + "▁systems", + -9.518040657043457 + ], + [ + "▁17", + -9.518178939819336 + ], + [ + "▁opportunity", + -9.518531799316406 + ], + [ + "▁bis", + -9.519219398498535 + ], + [ + "▁fast", + -9.519807815551758 + ], + [ + "ring", + -9.521166801452637 + ], + [ + "▁Don", + -9.522114753723145 + ], + [ + "▁via", + -9.52242660522461 + ], + [ + "fer", + -9.5225248336792 + ], + [ + "▁comme", + -9.522799491882324 + ], + [ + "▁popular", + -9.523722648620605 + ], + [ + "▁South", + -9.524491310119629 + ], + [ + "ating", + -9.525003433227539 + ], + [ + "▁State", + -9.525198936462402 + ], + [ + "ator", + -9.525679588317871 + ], + [ + "▁common", + -9.525968551635742 + ], + [ + "con", + -9.526727676391602 + ], + [ + "▁throughout", + -9.527557373046875 + ], + [ + "▁risk", + -9.52774715423584 + ], + [ + "▁young", + -9.528532028198242 + ], + [ + "▁Je", + -9.528688430786133 + ], + [ + "▁image", + -9.52928352355957 + ], + [ + "ha", + -9.529376983642578 + ], + [ + "▁third", + -9.529587745666504 + ], + [ + "▁taken", + -9.530049324035645 + ], + [ + "▁Z", + -9.5314302444458 + ], + [ + "▁dis", + -9.5316162109375 + ], + [ + "▁From", + -9.533575057983398 + ], + [ + "▁details", + -9.534862518310547 + ], + [ + "▁games", + -9.53516674041748 + ], + [ + "▁practice", + -9.536040306091309 + ], + [ + "che", + -9.536151885986328 + ], + [ + "▁security", + -9.537364959716797 + ], + [ + "▁medical", + -9.537653923034668 + ], + [ + "▁learning", + -9.537806510925293 + ], + [ + "▁material", + -9.538509368896484 + ], + [ + "▁international", + -9.540703773498535 + ], + [ + "▁forward", + -9.541245460510254 + ], + [ + "▁paper", + -9.541247367858887 + ], + [ + "▁action", + -9.541348457336426 + ], + [ + "▁file", + -9.542378425598145 + ], + [ + "▁oil", + -9.543096542358398 + ], + [ + "▁self", + -9.54377555847168 + ], + [ + "▁private", + -9.545247077941895 + ], + [ + "▁interest", + -9.545559883117676 + ], + [ + "bar", + -9.546065330505371 + ], + [ + "▁sale", + -9.547115325927734 + ], + [ + "▁stay", + -9.547348976135254 + ], + [ + "ke", + -9.548089981079102 + ], + [ + "▁San", + -9.549053192138672 + ], + [ + "▁matter", + -9.549870491027832 + ], + [ + "▁reason", + -9.550254821777344 + ], + [ + "ted", + -9.55147647857666 + ], + [ + "▁potential", + -9.551742553710938 + ], + [ + "▁brand", + -9.552441596984863 + ], + [ + "▁field", + -9.55315113067627 + ], + [ + "▁treatment", + -9.553420066833496 + ], + [ + "▁period", + -9.553516387939453 + ], + [ + "▁York", + -9.553890228271484 + ], + [ + "▁Park", + -9.554738998413086 + ], + [ + "▁acest", + -9.556009292602539 + ], + [ + "ou", + -9.556926727294922 + ], + [ + "▁Ce", + -9.557014465332031 + ], + [ + "▁ready", + -9.558111190795898 + ], + [ + "▁rather", + -9.55860424041748 + ], + [ + "▁outside", + -9.560086250305176 + ], + [ + "▁standard", + -9.560121536254883 + ], + [ + "▁located", + -9.560770034790039 + ], + [ + "▁marketing", + -9.562313079833984 + ], + [ + "cu", + -9.564041137695312 + ], + [ + "▁Can", + -9.564562797546387 + ], + [ + "▁education", + -9.566105842590332 + ], + [ + "use", + -9.566640853881836 + ], + [ + "▁role", + -9.566828727722168 + ], + [ + "▁men", + -9.571505546569824 + ], + [ + "▁probably", + -9.571550369262695 + ], + [ + "▁store", + -9.57221508026123 + ], + [ + "▁John", + -9.572355270385742 + ], + [ + "▁rate", + -9.573956489562988 + ], + [ + "▁code", + -9.573994636535645 + ], + [ + "▁kids", + -9.574408531188965 + ], + [ + "▁currently", + -9.57552719116211 + ], + [ + "▁near", + -9.576475143432617 + ], + [ + "▁sales", + -9.576716423034668 + ], + [ + "▁usually", + -9.577012062072754 + ], + [ + "▁activities", + -9.577242851257324 + ], + [ + "▁party", + -9.577371597290039 + ], + [ + "▁leur", + -9.577434539794922 + ], + [ + "▁particular", + -9.577627182006836 + ], + [ + "▁mehr", + -9.577707290649414 + ], + [ + "ill", + -9.578757286071777 + ], + [ + "▁percent", + -9.579113006591797 + ], + [ + "▁fait", + -9.579537391662598 + ], + [ + "▁happy", + -9.579904556274414 + ], + [ + "▁inside", + -9.58005428314209 + ], + [ + "▁save", + -9.580510139465332 + ], + [ + "▁skills", + -9.580765724182129 + ], + [ + "▁consider", + -9.581025123596191 + ], + [ + "▁recent", + -9.58161735534668 + ], + [ + "▁strong", + -9.581781387329102 + ], + [ + "▁position", + -9.582076072692871 + ], + [ + "▁knowledge", + -9.582303047180176 + ], + [ + "▁tax", + -9.583868980407715 + ], + [ + "▁users", + -9.584261894226074 + ], + [ + "und", + -9.585564613342285 + ], + [ + "▁coming", + -9.585904121398926 + ], + [ + "▁article", + -9.585923194885254 + ], + [ + "min", + -9.586345672607422 + ], + [ + "▁sein", + -9.586555480957031 + ], + [ + "▁travel", + -9.586871147155762 + ], + [ + "▁changes", + -9.58765983581543 + ], + [ + "▁impact", + -9.588181495666504 + ], + [ + "▁wanted", + -9.588460922241211 + ], + [ + "▁address", + -9.5885591506958 + ], + [ + "▁soon", + -9.58873462677002 + ], + [ + "▁North", + -9.588915824890137 + ], + [ + "ată", + -9.589237213134766 + ], + [ + "▁trying", + -9.58985424041748 + ], + [ + "▁app", + -9.590612411499023 + ], + [ + "▁School", + -9.592510223388672 + ], + [ + "▁Es", + -9.592548370361328 + ], + [ + "we", + -9.59261703491211 + ], + [ + "▁conditions", + -9.59292984008789 + ], + [ + "▁digital", + -9.593293190002441 + ], + [ + "▁similar", + -9.594805717468262 + ], + [ + "▁solution", + -9.59514331817627 + ], + [ + "▁location", + -9.595183372497559 + ], + [ + "▁Of", + -9.595418930053711 + ], + [ + "▁follow", + -9.595842361450195 + ], + [ + "▁red", + -9.597526550292969 + ], + [ + "▁review", + -9.599202156066895 + ], + [ + "▁skin", + -9.599575996398926 + ], + [ + "▁pretty", + -9.600369453430176 + ], + [ + "day", + -9.600558280944824 + ], + [ + "▁dé", + -9.602072715759277 + ], + [ + "▁cause", + -9.602169036865234 + ], + [ + "▁Sa", + -9.602463722229004 + ], + [ + "▁user", + -9.602520942687988 + ], + [ + "▁Man", + -9.603377342224121 + ], + [ + "”.", + -9.604146003723145 + ], + [ + "▁Just", + -9.604366302490234 + ], + [ + "▁faire", + -9.604475021362305 + ], + [ + "▁member", + -9.605619430541992 + ], + [ + "▁iar", + -9.606892585754395 + ], + [ + "▁higher", + -9.607715606689453 + ], + [ + "▁step", + -9.607887268066406 + ], + [ + "▁wide", + -9.608185768127441 + ], + [ + "▁uns", + -9.608920097351074 + ], + [ + "▁World", + -9.609135627746582 + ], + [ + "▁additional", + -9.61176586151123 + ], + [ + "ber", + -9.613197326660156 + ], + [ + "▁easily", + -9.613990783691406 + ], + [ + "▁deal", + -9.615070343017578 + ], + [ + "▁ways", + -9.615514755249023 + ], + [ + "▁mobile", + -9.616837501525879 + ], + [ + "▁national", + -9.616913795471191 + ], + [ + "▁couple", + -9.617389678955078 + ], + [ + "▁ihre", + -9.61939811706543 + ], + [ + "▁choice", + -9.619612693786621 + ], + [ + "for", + -9.619686126708984 + ], + [ + "ous", + -9.62070083618164 + ], + [ + "▁Google", + -9.620855331420898 + ], + [ + "▁environment", + -9.622426986694336 + ], + [ + "urile", + -9.623322486877441 + ], + [ + "▁Center", + -9.626680374145508 + ], + [ + "mp", + -9.628592491149902 + ], + [ + "▁»", + -9.629727363586426 + ], + [ + "qui", + -9.630680084228516 + ], + [ + "▁growth", + -9.631048202514648 + ], + [ + "ler", + -9.633174896240234 + ], + [ + "▁improve", + -9.63360595703125 + ], + [ + "▁items", + -9.6336669921875 + ], + [ + "▁Nu", + -9.63393783569336 + ], + [ + "▁leave", + -9.634074211120605 + ], + [ + "▁true", + -9.634805679321289 + ], + [ + "▁wurde", + -9.63487434387207 + ], + [ + "▁cannot", + -9.635004043579102 + ], + [ + "▁13", + -9.635096549987793 + ], + [ + "▁running", + -9.636015892028809 + ], + [ + "▁anti", + -9.636177062988281 + ], + [ + "▁option", + -9.636306762695312 + ], + [ + "▁reading", + -9.63657283782959 + ], + [ + "▁Car", + -9.636698722839355 + ], + [ + "▁Wir", + -9.638110160827637 + ], + [ + "▁April", + -9.63975715637207 + ], + [ + "▁behind", + -9.640642166137695 + ], + [ + "▁client", + -9.640750885009766 + ], + [ + "▁cover", + -9.641012191772461 + ], + [ + "▁stop", + -9.641090393066406 + ], + [ + "ja", + -9.641277313232422 + ], + [ + "▁built", + -9.641307830810547 + ], + [ + "▁Con", + -9.641313552856445 + ], + [ + "ement", + -9.641366004943848 + ], + [ + "▁projects", + -9.641828536987305 + ], + [ + "▁variety", + -9.641840934753418 + ], + [ + "▁Ihre", + -9.642666816711426 + ], + [ + "ș", + -9.64302921295166 + ], + [ + "▁unter", + -9.64385986328125 + ], + [ + "▁longer", + -9.646577835083008 + ], + [ + "year", + -9.647161483764648 + ], + [ + "▁photo", + -9.648370742797852 + ], + [ + "▁Also", + -9.64933967590332 + ], + [ + "▁received", + -9.651098251342773 + ], + [ + "▁return", + -9.652676582336426 + ], + [ + "00", + -9.653081893920898 + ], + [ + "▁bar", + -9.653343200683594 + ], + [ + "ary", + -9.654427528381348 + ], + [ + "elor", + -9.655137062072754 + ], + [ + "▁Home", + -9.656189918518066 + ], + [ + "our", + -9.656298637390137 + ], + [ + "▁Me", + -9.65771198272705 + ], + [ + "▁held", + -9.659111022949219 + ], + [ + "▁click", + -9.66014289855957 + ], + [ + "▁ex", + -9.660178184509277 + ], + [ + "▁cum", + -9.661561965942383 + ], + [ + "▁takes", + -9.66395378112793 + ], + [ + "▁computer", + -9.665796279907227 + ], + [ + "▁told", + -9.668192863464355 + ], + [ + "+", + -9.670648574829102 + ], + [ + "▁patients", + -9.670809745788574 + ], + [ + "ting", + -9.672165870666504 + ], + [ + "▁direct", + -9.672248840332031 + ], + [ + "▁quickly", + -9.672410011291504 + ], + [ + "tic", + -9.672877311706543 + ], + [ + "▁vom", + -9.673723220825195 + ], + [ + "▁di", + -9.67381477355957 + ], + [ + "▁kitchen", + -9.674022674560547 + ], + [ + "▁network", + -9.675640106201172 + ], + [ + "▁2015", + -9.676688194274902 + ], + [ + "▁effective", + -9.677227020263672 + ], + [ + "▁collection", + -9.677703857421875 + ], + [ + "▁2017", + -9.677751541137695 + ], + [ + "▁words", + -9.678145408630371 + ], + [ + "▁cele", + -9.678857803344727 + ], + [ + "▁student", + -9.678862571716309 + ], + [ + "▁amazing", + -9.678932189941406 + ], + [ + "eur", + -9.680419921875 + ], + [ + ".”", + -9.68227481842041 + ], + [ + "▁ale", + -9.682716369628906 + ], + [ + "”,", + -9.68414306640625 + ], + [ + "▁purchase", + -9.684350967407227 + ], + [ + "▁mean", + -9.68477725982666 + ], + [ + "▁West", + -9.686846733093262 + ], + [ + "▁nice", + -9.6889066696167 + ], + [ + "▁age", + -9.689131736755371 + ], + [ + "▁base", + -9.68923568725586 + ], + [ + "▁summer", + -9.68928337097168 + ], + [ + "▁multi", + -9.689496994018555 + ], + [ + "▁allows", + -9.689573287963867 + ], + [ + "▁latest", + -9.689604759216309 + ], + [ + "▁global", + -9.68992805480957 + ], + [ + "▁chance", + -9.690792083740234 + ], + [ + "▁sense", + -9.690872192382812 + ], + [ + "ieren", + -9.692789077758789 + ], + [ + "▁difficult", + -9.693133354187012 + ], + [ + "ité", + -9.694750785827637 + ], + [ + "ka", + -9.694792747497559 + ], + [ + "du", + -9.69483757019043 + ], + [ + "▁providing", + -9.695744514465332 + ], + [ + "▁Art", + -9.696940422058105 + ], + [ + "▁drive", + -9.698554992675781 + ], + [ + "▁Go", + -9.698877334594727 + ], + [ + "▁très", + -9.699414253234863 + ], + [ + "U", + -9.699579238891602 + ], + [ + "▁Pre", + -9.699846267700195 + ], + [ + "▁shows", + -9.700040817260742 + ], + [ + "▁hair", + -9.701324462890625 + ], + [ + "▁success", + -9.701513290405273 + ], + [ + "▁UK", + -9.703169822692871 + ], + [ + "red", + -9.703241348266602 + ], + [ + "ü", + -9.703370094299316 + ], + [ + "ish", + -9.703631401062012 + ], + [ + "▁weeks", + -9.704839706420898 + ], + [ + "▁solutions", + -9.7055025100708 + ], + [ + "▁Pe", + -9.7057523727417 + ], + [ + "▁equipment", + -9.706141471862793 + ], + [ + "și", + -9.706482887268066 + ], + [ + "▁worked", + -9.707073211669922 + ], + [ + "\".", + -9.708627700805664 + ], + [ + "▁legal", + -9.708720207214355 + ], + [ + "▁bad", + -9.70892333984375 + ], + [ + "▁40", + -9.709561347961426 + ], + [ + "▁Internet", + -9.709798812866211 + ], + [ + "▁included", + -9.709976196289062 + ], + [ + "▁upon", + -9.710977554321289 + ], + [ + "▁excellent", + -9.71106243133545 + ], + [ + "▁goal", + -9.71130084991455 + ], + [ + "▁El", + -9.711408615112305 + ], + [ + "▁Mo", + -9.711703300476074 + ], + [ + "▁policy", + -9.71319580078125 + ], + [ + "▁aussi", + -9.713537216186523 + ], + [ + "▁weight", + -9.713687896728516 + ], + [ + "ici", + -9.715133666992188 + ], + [ + "▁approach", + -9.715584754943848 + ], + [ + "▁six", + -9.71579647064209 + ], + [ + "▁entire", + -9.715911865234375 + ], + [ + "9", + -9.71633529663086 + ], + [ + "▁send", + -9.716832160949707 + ], + [ + "▁1.", + -9.718971252441406 + ], + [ + "▁wenn", + -9.719056129455566 + ], + [ + "▁photos", + -9.71993637084961 + ], + [ + "://", + -9.721014022827148 + ], + [ + "ger", + -9.72281551361084 + ], + [ + "▁favorite", + -9.723104476928711 + ], + [ + "ley", + -9.723477363586426 + ], + [ + "▁else", + -9.72463321685791 + ], + [ + "▁types", + -9.72468376159668 + ], + [ + "▁link", + -9.725333213806152 + ], + [ + "▁recently", + -9.72584056854248 + ], + [ + "▁Mit", + -9.72631549835205 + ], + [ + "▁hot", + -9.726548194885254 + ], + [ + "tra", + -9.726597785949707 + ], + [ + "ş", + -9.727307319641113 + ], + [ + "▁according", + -9.728511810302734 + ], + [ + "▁necessary", + -9.728511810302734 + ], + [ + "▁multiple", + -9.729269027709961 + ], + [ + "▁Im", + -9.729510307312012 + ], + [ + "▁sehr", + -9.729660034179688 + ], + [ + "▁sign", + -9.732263565063477 + ], + [ + "▁anyone", + -9.73283576965332 + ], + [ + "▁land", + -9.733613014221191 + ], + [ + "▁States", + -9.734037399291992 + ], + [ + "▁unsere", + -9.734119415283203 + ], + [ + "ées", + -9.734639167785645 + ], + [ + "We", + -9.735671043395996 + ], + [ + "▁nothing", + -9.735845565795898 + ], + [ + "▁commercial", + -9.736858367919922 + ], + [ + "ful", + -9.737265586853027 + ], + [ + "▁seems", + -9.739325523376465 + ], + [ + "▁International", + -9.740097045898438 + ], + [ + "▁March", + -9.74163818359375 + ], + [ + "▁Thanks", + -9.743307113647461 + ], + [ + "▁County", + -9.74365234375 + ], + [ + "▁books", + -9.744638442993164 + ], + [ + "▁Ca", + -9.7451753616333 + ], + [ + "▁mi", + -9.746304512023926 + ], + [ + "▁meeting", + -9.746662139892578 + ], + [ + "▁tools", + -9.747593879699707 + ], + [ + "▁cut", + -9.747650146484375 + ], + [ + "▁related", + -9.74765682220459 + ], + [ + "▁lives", + -9.748003005981445 + ], + [ + "way", + -9.748501777648926 + ], + [ + "▁develop", + -9.748651504516602 + ], + [ + "▁sound", + -9.748723983764648 + ], + [ + "▁safe", + -9.748950958251953 + ], + [ + "▁Her", + -9.74937629699707 + ], + [ + "▁average", + -9.751277923583984 + ], + [ + "▁clean", + -9.75174331665039 + ], + [ + "▁talk", + -9.752362251281738 + ], + [ + "▁peut", + -9.75241756439209 + ], + [ + "▁dann", + -9.752546310424805 + ], + [ + "▁terms", + -9.753265380859375 + ], + [ + "▁foarte", + -9.753512382507324 + ], + [ + "▁super", + -9.754284858703613 + ], + [ + "▁programs", + -9.754853248596191 + ], + [ + "▁decision", + -9.75540828704834 + ], + [ + "▁costs", + -9.756058692932129 + ], + [ + "▁être", + -9.756291389465332 + ], + [ + "▁2019", + -9.757674217224121 + ], + [ + "led", + -9.759482383728027 + ], + [ + "▁parents", + -9.759617805480957 + ], + [ + "▁Mr", + -9.761702537536621 + ], + [ + "▁lower", + -9.762362480163574 + ], + [ + "▁door", + -9.762978553771973 + ], + [ + "▁été", + -9.763933181762695 + ], + [ + "▁box", + -9.764954566955566 + ], + [ + "▁record", + -9.765517234802246 + ], + [ + "▁win", + -9.765650749206543 + ], + [ + "ster", + -9.766402244567871 + ], + [ + "▁America", + -9.766748428344727 + ], + [ + "▁immer", + -9.768763542175293 + ], + [ + "▁road", + -9.76996898651123 + ], + [ + "▁leading", + -9.772759437561035 + ], + [ + "▁section", + -9.772838592529297 + ], + [ + "▁Facebook", + -9.772990226745605 + ], + [ + "▁Most", + -9.7738676071167 + ], + [ + "iert", + -9.77435302734375 + ], + [ + "▁morning", + -9.774497032165527 + ], + [ + "▁asked", + -9.775190353393555 + ], + [ + "▁involved", + -9.77551555633545 + ], + [ + "▁hier", + -9.777607917785645 + ], + [ + "▁images", + -9.77821159362793 + ], + [ + "▁House", + -9.778263092041016 + ], + [ + "▁highly", + -9.780763626098633 + ], + [ + "▁Bar", + -9.781620979309082 + ], + [ + "▁Service", + -9.782510757446289 + ], + [ + "▁attention", + -9.784318923950195 + ], + [ + "▁normal", + -9.784571647644043 + ], + [ + "▁plans", + -9.785883903503418 + ], + [ + "▁source", + -9.785930633544922 + ], + [ + "▁Aus", + -9.788092613220215 + ], + [ + "▁benefits", + -9.788655281066895 + ], + [ + "▁ses", + -9.789348602294922 + ], + [ + "des", + -9.789867401123047 + ], + [ + "▁internet", + -9.789949417114258 + ], + [ + "▁materials", + -9.790080070495605 + ], + [ + "▁même", + -9.791318893432617 + ], + [ + "▁fine", + -9.791522026062012 + ], + [ + "▁fit", + -9.792226791381836 + ], + [ + "▁21", + -9.792612075805664 + ], + [ + "▁itself", + -9.793739318847656 + ], + [ + "▁wieder", + -9.793972969055176 + ], + [ + "▁Many", + -9.795313835144043 + ], + [ + "▁nature", + -9.795402526855469 + ], + [ + "▁pain", + -9.795467376708984 + ], + [ + "▁device", + -9.796183586120605 + ], + [ + "art", + -9.796989440917969 + ], + [ + "pro", + -9.7971830368042 + ], + [ + "▁France", + -9.797271728515625 + ], + [ + "lich", + -9.797314643859863 + ], + [ + "▁2014", + -9.799542427062988 + ], + [ + "▁inter", + -9.799964904785156 + ], + [ + "▁Li", + -9.800453186035156 + ], + [ + "▁career", + -9.801136016845703 + ], + [ + "▁looks", + -9.80145263671875 + ], + [ + "▁ré", + -9.802245140075684 + ], + [ + "▁ability", + -9.802556991577148 + ], + [ + "▁situation", + -9.803154945373535 + ], + [ + "ville", + -9.803157806396484 + ], + [ + "▁2016", + -9.80319595336914 + ], + [ + "tes", + -9.803462982177734 + ], + [ + "▁remember", + -9.803879737854004 + ], + [ + "▁TV", + -9.803998947143555 + ], + [ + "▁levels", + -9.805853843688965 + ], + [ + "▁subject", + -9.807723999023438 + ], + [ + "ally", + -9.80844497680664 + ], + [ + "▁reduce", + -9.810232162475586 + ], + [ + "▁*", + -9.8108491897583 + ], + [ + "▁Day", + -9.810867309570312 + ], + [ + "▁write", + -9.812152862548828 + ], + [ + "▁pick", + -9.814252853393555 + ], + [ + "ence", + -9.815399169921875 + ], + [ + "▁fresh", + -9.816520690917969 + ], + [ + "▁traditional", + -9.816662788391113 + ], + [ + "chi", + -9.817692756652832 + ], + [ + "▁machine", + -9.818047523498535 + ], + [ + "▁resources", + -9.819125175476074 + ], + [ + "â", + -9.819502830505371 + ], + [ + "▁countries", + -9.820009231567383 + ], + [ + "▁Even", + -9.820342063903809 + ], + [ + "▁green", + -9.821283340454102 + ], + [ + "▁Free", + -9.821910858154297 + ], + [ + "▁daily", + -9.822112083435059 + ], + [ + "▁respect", + -9.823013305664062 + ], + [ + "▁instead", + -9.823714256286621 + ], + [ + "▁Once", + -9.82418155670166 + ], + [ + "▁word", + -9.824407577514648 + ], + [ + "▁construction", + -9.82489013671875 + ], + [ + "▁huge", + -9.825064659118652 + ], + [ + "▁feature", + -9.825220108032227 + ], + [ + "▁themselves", + -9.826369285583496 + ], + [ + "▁loss", + -9.82919692993164 + ], + [ + "%", + -9.830063819885254 + ], + [ + "▁safety", + -9.830256462097168 + ], + [ + "▁economic", + -9.831406593322754 + ], + [ + "▁require", + -9.831945419311523 + ], + [ + "30", + -9.83255386352539 + ], + [ + "▁planning", + -9.833393096923828 + ], + [ + "▁mal", + -9.834482192993164 + ], + [ + "▁directly", + -9.835214614868164 + ], + [ + "ure", + -9.835719108581543 + ], + [ + "▁track", + -9.835734367370605 + ], + [ + "▁tool", + -9.836135864257812 + ], + [ + "▁positive", + -9.836392402648926 + ], + [ + "▁piece", + -9.837076187133789 + ], + [ + "▁parts", + -9.837140083312988 + ], + [ + "ang", + -9.83740520477295 + ], + [ + "▁trip", + -9.837453842163086 + ], + [ + "▁organization", + -9.837935447692871 + ], + [ + "▁sites", + -9.838274002075195 + ], + [ + "▁fire", + -9.83831787109375 + ], + [ + "▁China", + -9.838876724243164 + ], + [ + "▁Pour", + -9.839289665222168 + ], + [ + "▁plant", + -9.84011459350586 + ], + [ + "▁board", + -9.840341567993164 + ], + [ + "▁interesting", + -9.841227531433105 + ], + [ + "gar", + -9.841713905334473 + ], + [ + "▁fie", + -9.841752052307129 + ], + [ + "▁late", + -9.842166900634766 + ], + [ + "▁wall", + -9.842294692993164 + ], + [ + "▁walk", + -9.842741966247559 + ], + [ + "ham", + -9.843868255615234 + ], + [ + "▁Ne", + -9.845427513122559 + ], + [ + "▁First", + -9.845462799072266 + ], + [ + "▁double", + -9.845701217651367 + ], + [ + "▁budget", + -9.847657203674316 + ], + [ + "▁cases", + -9.847670555114746 + ], + [ + "cal", + -9.849738121032715 + ], + [ + "old", + -9.849796295166016 + ], + [ + "▁Bo", + -9.849822998046875 + ], + [ + "▁spend", + -9.850439071655273 + ], + [ + "port", + -9.850828170776367 + ], + [ + "▁worth", + -9.850934028625488 + ], + [ + "ique", + -9.851308822631836 + ], + [ + "nes", + -9.85190486907959 + ], + [ + "cul", + -9.852272033691406 + ], + [ + "era", + -9.85296630859375 + ], + [ + "▁text", + -9.853032112121582 + ], + [ + "▁decided", + -9.854948997497559 + ], + [ + "▁floor", + -9.855036735534668 + ], + [ + "▁requirements", + -9.85529899597168 + ], + [ + "▁cel", + -9.855361938476562 + ], + [ + "▁effect", + -9.855412483215332 + ], + [ + "▁gibt", + -9.856159210205078 + ], + [ + "▁news", + -9.859238624572754 + ], + [ + "▁vos", + -9.859931945800781 + ], + [ + "▁players", + -9.86057186126709 + ], + [ + "▁saw", + -9.862728118896484 + ], + [ + "▁auto", + -9.863056182861328 + ], + [ + "▁town", + -9.863207817077637 + ], + [ + "▁myself", + -9.864106178283691 + ], + [ + "▁lost", + -9.864988327026367 + ], + [ + "▁$", + -9.865124702453613 + ], + [ + "▁June", + -9.86609172821045 + ], + [ + "▁significant", + -9.866196632385254 + ], + [ + "▁giving", + -9.866230010986328 + ], + [ + "▁stand", + -9.866744041442871 + ], + [ + "▁stock", + -9.867657661437988 + ], + [ + "▁hold", + -9.867766380310059 + ], + [ + "▁Are", + -9.869078636169434 + ], + [ + "▁shall", + -9.86923599243164 + ], + [ + "▁ideal", + -9.869279861450195 + ], + [ + "▁London", + -9.87080192565918 + ], + [ + "▁answer", + -9.870853424072266 + ], + [ + "▁Vor", + -9.87157917022705 + ], + [ + "▁gives", + -9.873115539550781 + ], + [ + "ative", + -9.87316608428955 + ], + [ + "▁timp", + -9.873167991638184 + ], + [ + "▁center", + -9.87362289428711 + ], + [ + "▁Group", + -9.874580383300781 + ], + [ + "▁sans", + -9.875143051147461 + ], + [ + "▁Ar", + -9.875466346740723 + ], + [ + "▁Ma", + -9.875568389892578 + ], + [ + "▁reach", + -9.876279830932617 + ], + [ + "ren", + -9.876652717590332 + ], + [ + "▁More", + -9.877446174621582 + ], + [ + "mit", + -9.878068923950195 + ], + [ + "▁guide", + -9.87833309173584 + ], + [ + "▁fully", + -9.878828048706055 + ], + [ + "▁Since", + -9.878952980041504 + ], + [ + "▁Inc", + -9.87923812866211 + ], + [ + "▁culture", + -9.879780769348145 + ], + [ + "eat", + -9.880531311035156 + ], + [ + "▁written", + -9.880722999572754 + ], + [ + "▁Ho", + -9.881338119506836 + ], + [ + "▁India", + -9.881625175476074 + ], + [ + "▁Well", + -9.881708145141602 + ], + [ + "back", + -9.881752967834473 + ], + [ + "▁goes", + -9.882170677185059 + ], + [ + "▁completely", + -9.88217544555664 + ], + [ + "▁tour", + -9.883081436157227 + ], + [ + "▁began", + -9.883196830749512 + ], + [ + "▁picture", + -9.883255958557129 + ], + [ + "▁mare", + -9.88353157043457 + ], + [ + "▁playing", + -9.884223937988281 + ], + [ + "▁trebuie", + -9.884926795959473 + ], + [ + "ils", + -9.884940147399902 + ], + [ + "chen", + -9.885220527648926 + ], + [ + "▁hit", + -9.885416984558105 + ], + [ + "▁complex", + -9.88591480255127 + ], + [ + "▁Thank", + -9.886140823364258 + ], + [ + "▁Let", + -9.886350631713867 + ], + [ + "▁applications", + -9.887116432189941 + ], + [ + "▁friend", + -9.888312339782715 + ], + [ + "▁English", + -9.889549255371094 + ], + [ + "▁charge", + -9.890040397644043 + ], + [ + "▁recommend", + -9.893453598022461 + ], + [ + "▁message", + -9.893672943115234 + ], + [ + "In", + -9.893722534179688 + ], + [ + "▁Mar", + -9.894762992858887 + ], + [ + "pp", + -9.895845413208008 + ], + [ + "▁method", + -9.89692497253418 + ], + [ + "▁successful", + -9.897004127502441 + ], + [ + "tion", + -9.898880958557129 + ], + [ + "▁release", + -9.899920463562012 + ], + [ + "▁creating", + -9.900403022766113 + ], + [ + "▁despre", + -9.90141773223877 + ], + [ + "esc", + -9.902434349060059 + ], + [ + "▁eye", + -9.902752876281738 + ], + [ + "▁apply", + -9.905945777893066 + ], + [ + "net", + -9.906000137329102 + ], + [ + "side", + -9.906539916992188 + ], + [ + "▁ar", + -9.906949996948242 + ], + [ + "▁platform", + -9.90713882446289 + ], + [ + "▁touch", + -9.907329559326172 + ], + [ + "▁towards", + -9.90785026550293 + ], + [ + "▁match", + -9.908224105834961 + ], + [ + "▁Black", + -9.909344673156738 + ], + [ + "▁fall", + -9.90961742401123 + ], + [ + "▁ground", + -9.910234451293945 + ], + [ + "▁High", + -9.910740852355957 + ], + [ + "▁Q", + -9.911155700683594 + ], + [ + "▁schon", + -9.911709785461426 + ], + [ + "▁hotel", + -9.911751747131348 + ], + [ + "▁prices", + -9.912031173706055 + ], + [ + "▁developed", + -9.913411140441895 + ], + [ + "uk", + -9.913476943969727 + ], + [ + "ide", + -9.91367244720459 + ], + [ + "▁September", + -9.91370964050293 + ], + [ + "ized", + -9.914202690124512 + ], + [ + "▁War", + -9.914704322814941 + ], + [ + "!!", + -9.916285514831543 + ], + [ + "▁grow", + -9.916997909545898 + ], + [ + "▁watch", + -9.917067527770996 + ], + [ + "▁storage", + -9.917412757873535 + ], + [ + "eau", + -9.917513847351074 + ], + [ + "can", + -9.918373107910156 + ], + [ + "▁Get", + -9.919524192810059 + ], + [ + "▁See", + -9.91953182220459 + ], + [ + "▁European", + -9.919703483581543 + ], + [ + "▁language", + -9.91982650756836 + ], + [ + "ează", + -9.920175552368164 + ], + [ + "▁court", + -9.920334815979004 + ], + [ + "▁Why", + -9.921106338500977 + ], + [ + "▁hear", + -9.921342849731445 + ], + [ + "▁doar", + -9.921804428100586 + ], + [ + "lan", + -9.92330265045166 + ], + [ + "▁Christmas", + -9.923810958862305 + ], + [ + "▁Web", + -9.923871994018555 + ], + [ + "vo", + -9.92405891418457 + ], + [ + "▁sent", + -9.924983024597168 + ], + [ + "▁businesses", + -9.925868034362793 + ], + [ + "▁Red", + -9.926278114318848 + ], + [ + "tel", + -9.926375389099121 + ], + [ + "▁Ha", + -9.926508903503418 + ], + [ + "▁wonderful", + -9.926653861999512 + ], + [ + "ations", + -9.926738739013672 + ], + [ + "za", + -9.92748737335205 + ], + [ + "▁22", + -9.928659439086914 + ], + [ + "▁thinking", + -9.92941665649414 + ], + [ + "▁became", + -9.929733276367188 + ], + [ + "▁cool", + -9.929835319519043 + ], + [ + "▁speed", + -9.930370330810547 + ], + [ + "mar", + -9.930426597595215 + ], + [ + "▁--", + -9.931743621826172 + ], + [ + "▁groups", + -9.931920051574707 + ], + [ + "▁interested", + -9.93198299407959 + ], + [ + "ak", + -9.93218994140625 + ], + [ + "▁60", + -9.932672500610352 + ], + [ + "▁screen", + -9.93370246887207 + ], + [ + "▁Design", + -9.933789253234863 + ], + [ + "▁limited", + -9.935648918151855 + ], + [ + "▁expected", + -9.935959815979004 + ], + [ + "▁opportunities", + -9.936376571655273 + ], + [ + "▁regular", + -9.936870574951172 + ], + [ + "off", + -9.93702220916748 + ], + [ + "▁Best", + -9.937298774719238 + ], + [ + "Re", + -9.938436508178711 + ], + [ + "▁ihr", + -9.938719749450684 + ], + [ + "▁Great", + -9.938907623291016 + ], + [ + "▁employees", + -9.93924617767334 + ], + [ + "▁custom", + -9.939679145812988 + ], + [ + "▁multe", + -9.940123558044434 + ], + [ + "let", + -9.940876007080078 + ], + [ + "▁benefit", + -9.942487716674805 + ], + [ + "▁term", + -9.942623138427734 + ], + [ + "▁bine", + -9.942869186401367 + ], + [ + "▁deep", + -9.944526672363281 + ], + [ + "▁August", + -9.94526481628418 + ], + [ + "▁President", + -9.945381164550781 + ], + [ + "▁Auf", + -9.945854187011719 + ], + [ + "▁wish", + -9.946924209594727 + ], + [ + "▁sometimes", + -9.947274208068848 + ], + [ + "ari", + -9.947793960571289 + ], + [ + "▁pressure", + -9.948184967041016 + ], + [ + "▁ani", + -9.94859504699707 + ], + [ + "▁trade", + -9.949930191040039 + ], + [ + "▁firm", + -9.950027465820312 + ], + [ + "▁comment", + -9.95003604888916 + ], + [ + "▁November", + -9.950242042541504 + ], + [ + "▁expect", + -9.951102256774902 + ], + [ + "▁2012", + -9.952491760253906 + ], + [ + "▁Ich", + -9.95328140258789 + ], + [ + "▁relationship", + -9.95363998413086 + ], + [ + "▁active", + -9.954682350158691 + ], + [ + "org", + -9.954710960388184 + ], + [ + "▁heat", + -9.956732749938965 + ], + [ + "▁wood", + -9.95678997039795 + ], + [ + "▁notre", + -9.957921028137207 + ], + [ + "▁function", + -9.958330154418945 + ], + [ + "▁2.", + -9.95909309387207 + ], + [ + "▁wedding", + -9.960049629211426 + ], + [ + "▁starting", + -9.961235046386719 + ], + [ + "▁Health", + -9.961249351501465 + ], + [ + "\",", + -9.961713790893555 + ], + [ + "▁death", + -9.962173461914062 + ], + [ + "▁pages", + -9.962764739990234 + ], + [ + "▁vehicle", + -9.96293830871582 + ], + [ + "▁request", + -9.963874816894531 + ], + [ + "▁helps", + -9.963916778564453 + ], + [ + "▁blue", + -9.964017868041992 + ], + [ + "▁analysis", + -9.964414596557617 + ], + [ + "▁posted", + -9.964544296264648 + ], + [ + "▁healthy", + -9.964814186096191 + ], + [ + "▁contract", + -9.964988708496094 + ], + [ + "▁•", + -9.965263366699219 + ], + [ + "▁Each", + -9.965293884277344 + ], + [ + "▁Fa", + -9.966179847717285 + ], + [ + "▁dintre", + -9.966221809387207 + ], + [ + "▁Friday", + -9.967202186584473 + ], + [ + "▁considered", + -9.967992782592773 + ], + [ + "cher", + -9.96826457977295 + ], + [ + "▁quick", + -9.968731880187988 + ], + [ + "▁understanding", + -9.96916389465332 + ], + [ + "▁condition", + -9.969378471374512 + ], + [ + "ization", + -9.971049308776855 + ], + [ + "▁document", + -9.971664428710938 + ], + [ + "▁prevent", + -9.971890449523926 + ], + [ + "▁growing", + -9.9725341796875 + ], + [ + "▁protection", + -9.972620964050293 + ], + [ + "▁cat", + -9.974002838134766 + ], + [ + "▁#", + -9.975058555603027 + ], + [ + "10", + -9.975275039672852 + ], + [ + "▁join", + -9.9759521484375 + ], + [ + "▁serve", + -9.976580619812012 + ], + [ + "▁blood", + -9.977095603942871 + ], + [ + "▁July", + -9.977341651916504 + ], + [ + "▁region", + -9.977787971496582 + ], + [ + "car", + -9.97933578491211 + ], + [ + "▁entre", + -9.979788780212402 + ], + [ + "▁physical", + -9.981287002563477 + ], + [ + "▁cash", + -9.9813232421875 + ], + [ + "aux", + -9.981823921203613 + ], + [ + "ng", + -9.982654571533203 + ], + [ + "▁stage", + -9.98281478881836 + ], + [ + "▁seem", + -9.983034133911133 + ], + [ + "▁definitely", + -9.983795166015625 + ], + [ + "▁investment", + -9.983827590942383 + ], + [ + "▁purpose", + -9.985441207885742 + ], + [ + "▁begin", + -9.985486030578613 + ], + [ + "®", + -9.985495567321777 + ], + [ + "▁break", + -9.985701560974121 + ], + [ + "itate", + -9.987293243408203 + ], + [ + "▁moving", + -9.989288330078125 + ], + [ + "▁met", + -9.990678787231445 + ], + [ + "ize", + -9.990833282470703 + ], + [ + "▁select", + -9.991165161132812 + ], + [ + "▁tous", + -9.991310119628906 + ], + [ + "▁Europe", + -9.991639137268066 + ], + [ + "@", + -9.992724418640137 + ], + [ + "▁individuals", + -9.993392944335938 + ], + [ + "▁Zeit", + -9.993524551391602 + ], + [ + "gu", + -9.995670318603516 + ], + [ + "▁unit", + -9.995753288269043 + ], + [ + "▁noi", + -9.996089935302734 + ], + [ + "▁places", + -9.996171951293945 + ], + [ + "all", + -9.99632453918457 + ], + [ + "▁wait", + -9.996755599975586 + ], + [ + "▁difference", + -9.997234344482422 + ], + [ + "▁round", + -9.998015403747559 + ], + [ + "50", + -9.99953842163086 + ], + [ + "rie", + -9.999545097351074 + ], + [ + "▁Et", + -9.999933242797852 + ], + [ + "20", + -10.000725746154785 + ], + [ + "▁activity", + -10.000792503356934 + ], + [ + "е", + -10.000866889953613 + ], + [ + "▁Windows", + -10.001087188720703 + ], + [ + "▁produce", + -10.001385688781738 + ], + [ + "▁keine", + -10.00212574005127 + ], + [ + "▁Air", + -10.002567291259766 + ], + [ + "▁January", + -10.004890441894531 + ], + [ + "▁deux", + -10.005081176757812 + ], + [ + "▁entry", + -10.005208015441895 + ], + [ + "king", + -10.006500244140625 + ], + [ + "▁goals", + -10.006736755371094 + ], + [ + "▁previous", + -10.0077543258667 + ], + [ + "▁+", + -10.008035659790039 + ], + [ + "▁Business", + -10.008259773254395 + ], + [ + "ont", + -10.008552551269531 + ], + [ + "▁Sunday", + -10.008694648742676 + ], + [ + "▁offering", + -10.010359764099121 + ], + [ + "▁response", + -10.011018753051758 + ], + [ + "▁surface", + -10.011393547058105 + ], + [ + "▁Department", + -10.01212215423584 + ], + [ + "▁exactly", + -10.012190818786621 + ], + [ + "▁Online", + -10.012577056884766 + ], + [ + "dem", + -10.013803482055664 + ], + [ + "ischen", + -10.014006614685059 + ], + [ + "▁hands", + -10.015100479125977 + ], + [ + "▁hour", + -10.016197204589844 + ], + [ + "▁dog", + -10.016946792602539 + ], + [ + "▁damage", + -10.017006874084473 + ], + [ + "▁capital", + -10.018792152404785 + ], + [ + "▁toate", + -10.020488739013672 + ], + [ + "▁wrong", + -10.020674705505371 + ], + [ + "unui", + -10.022201538085938 + ], + [ + "tri", + -10.023979187011719 + ], + [ + "▁sell", + -10.023999214172363 + ], + [ + "▁published", + -10.024175643920898 + ], + [ + "▁families", + -10.024675369262695 + ], + [ + "▁avoid", + -10.025490760803223 + ], + [ + "▁Ko", + -10.025506019592285 + ], + [ + "▁mod", + -10.026697158813477 + ], + [ + "rat", + -10.027653694152832 + ], + [ + "▁Make", + -10.0299654006958 + ], + [ + "▁October", + -10.030153274536133 + ], + [ + "▁former", + -10.031285285949707 + ], + [ + "▁Services", + -10.03281021118164 + ], + [ + "▁felt", + -10.033045768737793 + ], + [ + "▁selection", + -10.033309936523438 + ], + [ + "eaza", + -10.034177780151367 + ], + [ + "gel", + -10.034422874450684 + ], + [ + "▁Good", + -10.035792350769043 + ], + [ + "▁actual", + -10.0364351272583 + ], + [ + "▁gut", + -10.036853790283203 + ], + [ + "▁gas", + -10.03708553314209 + ], + [ + "15", + -10.038182258605957 + ], + [ + "▁structure", + -10.038285255432129 + ], + [ + "▁act", + -10.0386381149292 + ], + [ + "▁Zu", + -10.038654327392578 + ], + [ + "▁creative", + -10.039134979248047 + ], + [ + "▁Vi", + -10.039159774780273 + ], + [ + "▁shop", + -10.04066276550293 + ], + [ + "▁Lo", + -10.040735244750977 + ], + [ + "şi", + -10.042192459106445 + ], + [ + "▁mis", + -10.042224884033203 + ], + [ + "ungen", + -10.042301177978516 + ], + [ + "▁fan", + -10.04240608215332 + ], + [ + "▁|", + -10.043391227722168 + ], + [ + "▁Bei", + -10.044037818908691 + ], + [ + "▁protect", + -10.04454517364502 + ], + [ + "▁Na", + -10.0447998046875 + ], + [ + "q", + -10.045693397521973 + ], + [ + "ok", + -10.04710578918457 + ], + [ + "▁California", + -10.047263145446777 + ], + [ + "▁political", + -10.047301292419434 + ], + [ + "25", + -10.047530174255371 + ], + [ + "▁feeling", + -10.047913551330566 + ], + [ + "▁ces", + -10.048321723937988 + ], + [ + "▁display", + -10.048857688903809 + ], + [ + "▁essential", + -10.04964542388916 + ], + [ + "ând", + -10.049971580505371 + ], + [ + "▁seine", + -10.050551414489746 + ], + [ + "▁soft", + -10.050915718078613 + ], + [ + "ach", + -10.05102252960205 + ], + [ + "▁happen", + -10.051118850708008 + ], + [ + "▁Paul", + -10.053346633911133 + ], + [ + "▁Cu", + -10.054024696350098 + ], + [ + "house", + -10.055376052856445 + ], + [ + "ante", + -10.05582046508789 + ], + [ + "▁easier", + -10.056551933288574 + ], + [ + "▁sort", + -10.0567045211792 + ], + [ + "▁Post", + -10.057138442993164 + ], + [ + "▁accept", + -10.05730152130127 + ], + [ + "field", + -10.057648658752441 + ], + [ + "zen", + -10.057741165161133 + ], + [ + "▁character", + -10.057848930358887 + ], + [ + "▁beginning", + -10.058433532714844 + ], + [ + "▁Jesus", + -10.058760643005371 + ], + [ + "▁weekend", + -10.059663772583008 + ], + [ + "▁certainly", + -10.06114387512207 + ], + [ + "▁THE", + -10.061254501342773 + ], + [ + "▁alle", + -10.06189250946045 + ], + [ + "▁transport", + -10.062220573425293 + ], + [ + "▁Saturday", + -10.063043594360352 + ], + [ + "▁basic", + -10.064136505126953 + ], + [ + "▁loved", + -10.06431770324707 + ], + [ + "ros", + -10.065333366394043 + ], + [ + "▁offered", + -10.065996170043945 + ], + [ + "▁camera", + -10.067024230957031 + ], + [ + "▁Green", + -10.06789779663086 + ], + [ + "ology", + -10.069480895996094 + ], + [ + "ä", + -10.069646835327148 + ], + [ + "▁manage", + -10.070416450500488 + ], + [ + "▁paid", + -10.070881843566895 + ], + [ + "▁advice", + -10.071617126464844 + ], + [ + "▁patient", + -10.072234153747559 + ], + [ + "▁spent", + -10.072272300720215 + ], + [ + "▁mir", + -10.072366714477539 + ], + [ + "▁baby", + -10.072400093078613 + ], + [ + "ö", + -10.073193550109863 + ], + [ + "▁basis", + -10.073338508605957 + ], + [ + "▁cancer", + -10.073765754699707 + ], + [ + "▁Although", + -10.07400894165039 + ], + [ + "▁gift", + -10.074336051940918 + ], + [ + "▁3.", + -10.074871063232422 + ], + [ + "dieser", + -10.075157165527344 + ], + [ + "▁overall", + -10.07520580291748 + ], + [ + "▁Sch", + -10.075265884399414 + ], + [ + "▁Ex", + -10.076258659362793 + ], + [ + "▁December", + -10.07689094543457 + ], + [ + "▁released", + -10.078214645385742 + ], + [ + "▁prior", + -10.07900333404541 + ], + [ + "▁sowie", + -10.081072807312012 + ], + [ + "▁club", + -10.081326484680176 + ], + [ + "▁Street", + -10.081535339355469 + ], + [ + "▁College", + -10.08254623413086 + ], + [ + "▁î", + -10.083059310913086 + ], + [ + "over", + -10.083159446716309 + ], + [ + "▁gave", + -10.08454704284668 + ], + [ + "▁truly", + -10.084784507751465 + ], + [ + "par", + -10.084806442260742 + ], + [ + "▁Canada", + -10.084888458251953 + ], + [ + "▁existing", + -10.085420608520508 + ], + [ + "lie", + -10.086335182189941 + ], + [ + "▁ganz", + -10.086658477783203 + ], + [ + "▁setting", + -10.087109565734863 + ], + [ + "▁supply", + -10.08739185333252 + ], + [ + "▁college", + -10.087540626525879 + ], + [ + "▁communication", + -10.088407516479492 + ], + [ + "▁23", + -10.088834762573242 + ], + [ + "▁pass", + -10.091546058654785 + ], + [ + "▁devices", + -10.091872215270996 + ], + [ + "▁glass", + -10.092083930969238 + ], + [ + "▁experienced", + -10.092395782470703 + ], + [ + "▁grand", + -10.093363761901855 + ], + [ + "▁Po", + -10.093396186828613 + ], + [ + "▁beyond", + -10.094029426574707 + ], + [ + "▁format", + -10.094165802001953 + ], + [ + "▁mon", + -10.09461498260498 + ], + [ + "▁perform", + -10.094635009765625 + ], + [ + "sten", + -10.095130920410156 + ], + [ + "▁1,", + -10.096270561218262 + ], + [ + "▁Per", + -10.096640586853027 + ], + [ + "▁sold", + -10.097247123718262 + ], + [ + "▁rates", + -10.0972900390625 + ], + [ + "▁regarding", + -10.097782135009766 + ], + [ + "▁Paris", + -10.098291397094727 + ], + [ + "▁Dar", + -10.099579811096191 + ], + [ + "▁challenge", + -10.099649429321289 + ], + [ + "▁feet", + -10.100564002990723 + ], + [ + "▁Su", + -10.102017402648926 + ], + [ + "je", + -10.102593421936035 + ], + [ + "▁Bank", + -10.102627754211426 + ], + [ + "ven", + -10.103126525878906 + ], + [ + "jo", + -10.103290557861328 + ], + [ + "▁band", + -10.10348892211914 + ], + [ + "▁delivery", + -10.104915618896484 + ], + [ + "Vous", + -10.104924201965332 + ], + [ + "tele", + -10.10495376586914 + ], + [ + "▁East", + -10.105379104614258 + ], + [ + "▁pictures", + -10.106067657470703 + ], + [ + "▁useful", + -10.106481552124023 + ], + [ + "*", + -10.107648849487305 + ], + [ + "▁increased", + -10.107746124267578 + ], + [ + "▁stories", + -10.108119010925293 + ], + [ + "sion", + -10.108280181884766 + ], + [ + "bra", + -10.108345985412598 + ], + [ + "▁brought", + -10.108466148376465 + ], + [ + "▁effort", + -10.109898567199707 + ], + [ + "▁payment", + -10.11058235168457 + ], + [ + "▁heard", + -10.110925674438477 + ], + [ + "▁played", + -10.111245155334473 + ], + [ + "▁White", + -10.111417770385742 + ], + [ + "▁metal", + -10.111721992492676 + ], + [ + "tal", + -10.111754417419434 + ], + [ + "▁engine", + -10.112006187438965 + ], + [ + "▁Club", + -10.11218547821045 + ], + [ + "ical", + -10.114581108093262 + ], + [ + "▁effects", + -10.115421295166016 + ], + [ + "▁degree", + -10.115763664245605 + ], + [ + "▁bed", + -10.1159086227417 + ], + [ + "ette", + -10.115991592407227 + ], + [ + "▁David", + -10.116386413574219 + ], + [ + "°", + -10.117666244506836 + ], + [ + "▁Au", + -10.117938041687012 + ], + [ + "▁Company", + -10.11845874786377 + ], + [ + "▁player", + -10.11938190460205 + ], + [ + "▁Today", + -10.120569229125977 + ], + [ + "▁maintain", + -10.12093448638916 + ], + [ + "▁minute", + -10.121193885803223 + ], + [ + "mail", + -10.122172355651855 + ], + [ + "▁race", + -10.122366905212402 + ], + [ + "▁comfortable", + -10.123887062072754 + ], + [ + "▁responsible", + -10.124085426330566 + ], + [ + "vor", + -10.124622344970703 + ], + [ + "▁associated", + -10.124695777893066 + ], + [ + "▁weather", + -10.124701499938965 + ], + [ + "▁$1", + -10.125639915466309 + ], + [ + "▁tried", + -10.126176834106445 + ], + [ + "▁Check", + -10.127649307250977 + ], + [ + "▁solid", + -10.127864837646484 + ], + [ + "▁movie", + -10.128364562988281 + ], + [ + "▁coffee", + -10.12874698638916 + ], + [ + "board", + -10.129073143005371 + ], + [ + "▁po", + -10.12946605682373 + ], + [ + "▁warm", + -10.129583358764648 + ], + [ + "▁connect", + -10.131733894348145 + ], + [ + "▁Ad", + -10.133807182312012 + ], + [ + "work", + -10.133859634399414 + ], + [ + "mal", + -10.13397216796875 + ], + [ + "▁Act", + -10.134634971618652 + ], + [ + "▁achieve", + -10.134769439697266 + ], + [ + "▁Nach", + -10.136604309082031 + ], + [ + "www", + -10.136669158935547 + ], + [ + "term", + -10.13672161102295 + ], + [ + "▁claim", + -10.137251853942871 + ], + [ + "▁particularly", + -10.138245582580566 + ], + [ + "▁cas", + -10.138396263122559 + ], + [ + "▁furniture", + -10.138461112976074 + ], + [ + "▁finish", + -10.13896369934082 + ], + [ + "▁temps", + -10.139026641845703 + ], + [ + "▁disease", + -10.139115333557129 + ], + [ + "▁lots", + -10.139196395874023 + ], + [ + "▁ball", + -10.139307975769043 + ], + [ + "▁sun", + -10.14010238647461 + ], + [ + "▁strategy", + -10.140498161315918 + ], + [ + "bre", + -10.140518188476562 + ], + [ + "▁mine", + -10.141541481018066 + ], + [ + "▁Click", + -10.141743659973145 + ], + [ + "ran", + -10.141983032226562 + ], + [ + "▁Will", + -10.142234802246094 + ], + [ + "▁garden", + -10.142974853515625 + ], + [ + "▁stuff", + -10.14359188079834 + ], + [ + "▁limit", + -10.144641876220703 + ], + [ + "▁bottom", + -10.14494800567627 + ], + [ + "▁shown", + -10.144962310791016 + ], + [ + "ship", + -10.145271301269531 + ], + [ + "▁habe", + -10.145858764648438 + ], + [ + "▁Super", + -10.146219253540039 + ], + [ + "▁completed", + -10.146971702575684 + ], + [ + "▁wine", + -10.146979331970215 + ], + [ + "ische", + -10.147262573242188 + ], + [ + "▁largest", + -10.147466659545898 + ], + [ + "▁appropriate", + -10.148261070251465 + ], + [ + "▁immediately", + -10.150248527526855 + ], + [ + "▁Hi", + -10.152358055114746 + ], + [ + "▁trust", + -10.152767181396484 + ], + [ + "ability", + -10.154254913330078 + ], + [ + "▁powerful", + -10.155101776123047 + ], + [ + "▁helping", + -10.155620574951172 + ], + [ + "▁schedule", + -10.155688285827637 + ], + [ + "▁correct", + -10.155707359313965 + ], + [ + "▁transfer", + -10.156496047973633 + ], + [ + "pre", + -10.15665340423584 + ], + [ + "▁journey", + -10.15688419342041 + ], + [ + "pm", + -10.157002449035645 + ], + [ + "don", + -10.158435821533203 + ], + [ + "▁highest", + -10.159249305725098 + ], + [ + "▁finally", + -10.15999698638916 + ], + [ + "form", + -10.160258293151855 + ], + [ + "▁extremely", + -10.160404205322266 + ], + [ + "▁window", + -10.160501480102539 + ], + [ + "▁Over", + -10.162222862243652 + ], + [ + "▁remove", + -10.162469863891602 + ], + [ + "wood", + -10.162479400634766 + ], + [ + "▁2013", + -10.163631439208984 + ], + [ + "▁mother", + -10.164072036743164 + ], + [ + "▁Auto", + -10.16436767578125 + ], + [ + "▁annual", + -10.164615631103516 + ], + [ + "▁Star", + -10.164834976196289 + ], + [ + "▁Di", + -10.166138648986816 + ], + [ + "о", + -10.16711139678955 + ], + [ + "▁gold", + -10.167129516601562 + ], + [ + "tar", + -10.167352676391602 + ], + [ + "ju", + -10.167750358581543 + ], + [ + "▁Use", + -10.169474601745605 + ], + [ + "▁thanks", + -10.16960334777832 + ], + [ + "▁centre", + -10.170127868652344 + ], + [ + "▁Australia", + -10.170358657836914 + ], + [ + "▁estate", + -10.170504570007324 + ], + [ + "▁eyes", + -10.1714448928833 + ], + [ + "▁force", + -10.171592712402344 + ], + [ + "▁income", + -10.17395305633545 + ], + [ + "▁science", + -10.174036026000977 + ], + [ + "ori", + -10.174230575561523 + ], + [ + "▁enter", + -10.174851417541504 + ], + [ + "▁28", + -10.175408363342285 + ], + [ + "ire", + -10.17568302154541 + ], + [ + "▁schools", + -10.175797462463379 + ], + [ + "▁restaurant", + -10.176088333129883 + ], + [ + "▁Council", + -10.177032470703125 + ], + [ + "aus", + -10.177885055541992 + ], + [ + "▁agree", + -10.17905330657959 + ], + [ + "▁campaign", + -10.179192543029785 + ], + [ + "▁Ta", + -10.179428100585938 + ], + [ + "▁letter", + -10.179814338684082 + ], + [ + "▁central", + -10.179931640625 + ], + [ + "▁Because", + -10.180054664611816 + ], + [ + "▁path", + -10.180349349975586 + ], + [ + "▁loc", + -10.180882453918457 + ], + [ + "▁files", + -10.182587623596191 + ], + [ + "▁population", + -10.182705879211426 + ], + [ + "▁explore", + -10.182723999023438 + ], + [ + "▁mid", + -10.182734489440918 + ], + [ + "▁concept", + -10.182748794555664 + ], + [ + "▁church", + -10.183015823364258 + ], + [ + "80", + -10.183026313781738 + ], + [ + "▁einfach", + -10.185834884643555 + ], + [ + "▁reasons", + -10.186690330505371 + ], + [ + "▁determine", + -10.186755180358887 + ], + [ + "▁February", + -10.187095642089844 + ], + [ + "▁evidence", + -10.18797779083252 + ], + [ + "▁sleep", + -10.188036918640137 + ], + [ + "▁Board", + -10.188652992248535 + ], + [ + "▁maybe", + -10.189635276794434 + ], + [ + "▁wasn", + -10.189701080322266 + ], + [ + "▁Monday", + -10.190101623535156 + ], + [ + "▁director", + -10.190481185913086 + ], + [ + "well", + -10.190974235534668 + ], + [ + "During", + -10.191001892089844 + ], + [ + "▁sweet", + -10.191061973571777 + ], + [ + "▁assist", + -10.19124984741211 + ], + [ + "▁police", + -10.191511154174805 + ], + [ + "▁repair", + -10.191729545593262 + ], + [ + "▁techniques", + -10.191733360290527 + ], + [ + "▁served", + -10.191808700561523 + ], + [ + "vi", + -10.192037582397461 + ], + [ + "▁sports", + -10.192331314086914 + ], + [ + "▁opening", + -10.192401885986328 + ], + [ + "▁ones", + -10.192731857299805 + ], + [ + "▁notice", + -10.193460464477539 + ], + [ + "▁PC", + -10.193547248840332 + ], + [ + "▁alte", + -10.194242477416992 + ], + [ + "▁Bi", + -10.194340705871582 + ], + [ + "▁cold", + -10.195606231689453 + ], + [ + "▁billion", + -10.195794105529785 + ], + [ + "▁balance", + -10.196361541748047 + ], + [ + "cer", + -10.196417808532715 + ], + [ + "▁nearly", + -10.196725845336914 + ], + [ + "▁wear", + -10.197259902954102 + ], + [ + "free", + -10.19760799407959 + ], + [ + "▁Have", + -10.197748184204102 + ], + [ + "▁comfort", + -10.199211120605469 + ], + [ + "▁studies", + -10.199225425720215 + ], + [ + "▁traffic", + -10.199540138244629 + ], + [ + "▁item", + -10.200214385986328 + ], + [ + "▁teaching", + -10.200467109680176 + ], + [ + "▁turned", + -10.201326370239258 + ], + [ + "isation", + -10.201354026794434 + ], + [ + "12", + -10.202038764953613 + ], + [ + "▁greater", + -10.202167510986328 + ], + [ + "▁knew", + -10.20233154296875 + ], + [ + "▁Association", + -10.203333854675293 + ], + [ + "▁Office", + -10.203802108764648 + ], + [ + "▁established", + -10.204085350036621 + ], + [ + "45", + -10.204170227050781 + ], + [ + "▁Love", + -10.204318046569824 + ], + [ + "▁changed", + -10.204882621765137 + ], + [ + "▁pan", + -10.205184936523438 + ], + [ + "van", + -10.20565414428711 + ], + [ + "▁Mi", + -10.205663681030273 + ], + [ + "▁tend", + -10.20637321472168 + ], + [ + "▁connection", + -10.206522941589355 + ], + [ + "▁lack", + -10.206954002380371 + ], + [ + "▁bank", + -10.208464622497559 + ], + [ + "cat", + -10.208720207214355 + ], + [ + "▁helped", + -10.209071159362793 + ], + [ + "▁spot", + -10.209417343139648 + ], + [ + "▁spring", + -10.20974063873291 + ], + [ + "▁Wi", + -10.210912704467773 + ], + [ + "▁Mac", + -10.211682319641113 + ], + [ + "▁Christ", + -10.212015151977539 + ], + [ + "▁saying", + -10.212835311889648 + ], + [ + "▁General", + -10.213062286376953 + ], + [ + "▁port", + -10.213099479675293 + ], + [ + "▁Mal", + -10.213156700134277 + ], + [ + "▁System", + -10.213486671447754 + ], + [ + "▁According", + -10.2152738571167 + ], + [ + "▁chiar", + -10.21568489074707 + ], + [ + "log", + -10.21576976776123 + ], + [ + "▁mix", + -10.215974807739258 + ], + [ + "▁Lake", + -10.216042518615723 + ], + [ + "▁intr", + -10.216590881347656 + ], + [ + "▁deliver", + -10.216793060302734 + ], + [ + "mon", + -10.216931343078613 + ], + [ + "▁Ro", + -10.217060089111328 + ], + [ + "▁Management", + -10.217504501342773 + ], + [ + "bri", + -10.218718528747559 + ], + [ + "▁pieces", + -10.218774795532227 + ], + [ + "▁announced", + -10.218926429748535 + ], + [ + "▁Yes", + -10.219268798828125 + ], + [ + "▁dark", + -10.220884323120117 + ], + [ + "val", + -10.221765518188477 + ], + [ + "▁rights", + -10.22309684753418 + ], + [ + "▁Diese", + -10.223100662231445 + ], + [ + "ki", + -10.223350524902344 + ], + [ + "vent", + -10.22375774383545 + ], + [ + "▁born", + -10.22380542755127 + ], + [ + "▁muss", + -10.224031448364258 + ], + [ + "compared", + -10.224660873413086 + ], + [ + "▁demand", + -10.224669456481934 + ], + [ + "▁handle", + -10.225493431091309 + ], + [ + "▁mode", + -10.226058006286621 + ], + [ + "lic", + -10.226137161254883 + ], + [ + "▁ahead", + -10.226436614990234 + ], + [ + "▁sharing", + -10.227599143981934 + ], + [ + "▁micro", + -10.227779388427734 + ], + [ + "▁Par", + -10.228626251220703 + ], + [ + "▁Every", + -10.22950553894043 + ], + [ + "▁bag", + -10.229736328125 + ], + [ + "▁daca", + -10.22974967956543 + ], + [ + "▁Apple", + -10.23022174835205 + ], + [ + "▁Mark", + -10.230239868164062 + ], + [ + "▁larger", + -10.231284141540527 + ], + [ + "eze", + -10.231978416442871 + ], + [ + "▁progress", + -10.232234001159668 + ], + [ + "▁stress", + -10.232929229736328 + ], + [ + "▁cards", + -10.233663558959961 + ], + [ + "▁driving", + -10.233738899230957 + ], + [ + "▁dry", + -10.233970642089844 + ], + [ + "▁relevant", + -10.234556198120117 + ], + [ + "▁Jo", + -10.234825134277344 + ], + [ + "▁tree", + -10.235036849975586 + ], + [ + "▁reported", + -10.235770225524902 + ], + [ + "ities", + -10.23577880859375 + ], + [ + "▁tea", + -10.235806465148926 + ], + [ + "▁although", + -10.236145973205566 + ], + [ + "▁Research", + -10.236261367797852 + ], + [ + "▁pool", + -10.23691463470459 + ], + [ + "▁fin", + -10.237163543701172 + ], + [ + "▁Und", + -10.238130569458008 + ], + [ + "▁decide", + -10.239217758178711 + ], + [ + "▁expert", + -10.239344596862793 + ], + [ + "rate", + -10.239428520202637 + ], + [ + "zeit", + -10.239971160888672 + ], + [ + "▁26", + -10.24040412902832 + ], + [ + "▁Ka", + -10.24056339263916 + ], + [ + "▁fix", + -10.240666389465332 + ], + [ + "igen", + -10.240713119506836 + ], + [ + "▁direction", + -10.241188049316406 + ], + [ + "▁star", + -10.241661071777344 + ], + [ + "▁middle", + -10.241889953613281 + ], + [ + "▁Ja", + -10.241962432861328 + ], + [ + "▁Land", + -10.24207878112793 + ], + [ + "ken", + -10.242605209350586 + ], + [ + "▁button", + -10.242630004882812 + ], + [ + "▁rules", + -10.242656707763672 + ], + [ + "▁également", + -10.242706298828125 + ], + [ + "▁viel", + -10.243158340454102 + ], + [ + "▁welcome", + -10.243682861328125 + ], + [ + "că", + -10.243932723999023 + ], + [ + "▁Top", + -10.245308876037598 + ], + [ + "▁allowed", + -10.245487213134766 + ], + [ + "▁tip", + -10.245584487915039 + ], + [ + "▁cei", + -10.245768547058105 + ], + [ + "▁Nous", + -10.246004104614258 + ], + [ + "té", + -10.246850967407227 + ], + [ + "▁unei", + -10.246903419494629 + ], + [ + "▁efforts", + -10.247260093688965 + ], + [ + "▁note", + -10.247719764709473 + ], + [ + "▁title", + -10.247977256774902 + ], + [ + "ric", + -10.248047828674316 + ], + [ + "berg", + -10.248252868652344 + ], + [ + "▁ainsi", + -10.248576164245605 + ], + [ + "▁led", + -10.248713493347168 + ], + [ + "▁alone", + -10.248786926269531 + ], + [ + "ward", + -10.249215126037598 + ], + [ + "▁vie", + -10.249323844909668 + ], + [ + "▁brain", + -10.249427795410156 + ], + [ + "light", + -10.250100135803223 + ], + [ + "▁Court", + -10.250598907470703 + ], + [ + "set", + -10.250869750976562 + ], + [ + "▁steps", + -10.251251220703125 + ], + [ + "pri", + -10.251391410827637 + ], + [ + "Q", + -10.251654624938965 + ], + [ + "sti", + -10.251938819885254 + ], + [ + "▁voice", + -10.252121925354004 + ], + [ + "▁models", + -10.252705574035645 + ], + [ + "▁parties", + -10.25442886352539 + ], + [ + "▁radio", + -10.255270957946777 + ], + [ + "▁mission", + -10.25545883178711 + ], + [ + "▁methods", + -10.255658149719238 + ], + [ + "▁Te", + -10.256019592285156 + ], + [ + "air", + -10.256489753723145 + ], + [ + "▁essay", + -10.256719589233398 + ], + [ + "my", + -10.256826400756836 + ], + [ + "▁competition", + -10.257049560546875 + ], + [ + "ses", + -10.257447242736816 + ], + [ + "▁serious", + -10.258724212646484 + ], + [ + "▁Ti", + -10.258733749389648 + ], + [ + "▁Hand", + -10.259561538696289 + ], + [ + "not", + -10.25958251953125 + ], + [ + "▁winter", + -10.261277198791504 + ], + [ + "24", + -10.261724472045898 + ], + [ + "▁vision", + -10.26174545288086 + ], + [ + "▁technical", + -10.262110710144043 + ], + [ + "▁cross", + -10.262799263000488 + ], + [ + "▁update", + -10.262947082519531 + ], + [ + "▁Team", + -10.263564109802246 + ], + [ + "▁evening", + -10.264286041259766 + ], + [ + "▁experts", + -10.26435661315918 + ], + [ + "part", + -10.264640808105469 + ], + [ + "▁wo", + -10.265190124511719 + ], + [ + "▁App", + -10.265729904174805 + ], + [ + "▁peu", + -10.266267776489258 + ], + [ + "▁mich", + -10.26630687713623 + ], + [ + "▁reports", + -10.267001152038574 + ], + [ + "▁km", + -10.267594337463379 + ], + [ + "▁print", + -10.2678804397583 + ], + [ + "▁Hotel", + -10.268101692199707 + ], + [ + "▁earlier", + -10.268235206604004 + ], + [ + "▁uses", + -10.26826286315918 + ], + [ + "▁menu", + -10.268416404724121 + ], + [ + "▁miles", + -10.26845645904541 + ], + [ + "▁classes", + -10.268463134765625 + ], + [ + "▁mo", + -10.268525123596191 + ], + [ + "▁loan", + -10.2691011428833 + ], + [ + "▁host", + -10.269192695617676 + ], + [ + "▁author", + -10.269274711608887 + ], + [ + "-1", + -10.269434928894043 + ], + [ + "▁bun", + -10.269940376281738 + ], + [ + "19", + -10.270011901855469 + ], + [ + "uch", + -10.270670890808105 + ], + [ + "ble", + -10.270813941955566 + ], + [ + "▁holiday", + -10.270859718322754 + ], + [ + "los", + -10.271894454956055 + ], + [ + "▁looked", + -10.272663116455078 + ], + [ + "▁Test", + -10.272759437561035 + ], + [ + "▁moved", + -10.273000717163086 + ], + [ + "▁numbers", + -10.273306846618652 + ], + [ + "▁covered", + -10.273405075073242 + ], + [ + "ker", + -10.273696899414062 + ], + [ + "TM", + -10.273768424987793 + ], + [ + "▁album", + -10.274727821350098 + ], + [ + "▁27", + -10.27476692199707 + ], + [ + "▁când", + -10.27523422241211 + ], + [ + "▁shopping", + -10.275248527526855 + ], + [ + "▁Ihr", + -10.27531623840332 + ], + [ + "▁requires", + -10.275786399841309 + ], + [ + "▁USA", + -10.275909423828125 + ], + [ + "000", + -10.275951385498047 + ], + [ + "▁official", + -10.276010513305664 + ], + [ + "▁states", + -10.276346206665039 + ], + [ + "▁tips", + -10.276570320129395 + ], + [ + "ible", + -10.277321815490723 + ], + [ + "▁Lu", + -10.27756404876709 + ], + [ + "ces", + -10.278343200683594 + ], + [ + "▁figure", + -10.27839469909668 + ], + [ + "▁Take", + -10.278576850891113 + ], + [ + "▁după", + -10.278687477111816 + ], + [ + "▁teams", + -10.278980255126953 + ], + [ + "▁song", + -10.279138565063477 + ], + [ + "▁master", + -10.279386520385742 + ], + [ + "ED", + -10.279841423034668 + ], + [ + "▁cleaning", + -10.280523300170898 + ], + [ + "▁drop", + -10.280651092529297 + ], + [ + "▁primary", + -10.2808837890625 + ], + [ + "▁Life", + -10.28108024597168 + ], + [ + "▁carry", + -10.281129837036133 + ], + [ + "▁initial", + -10.281270980834961 + ], + [ + "▁encore", + -10.281617164611816 + ], + [ + "▁Add", + -10.281670570373535 + ], + [ + "▁woman", + -10.282076835632324 + ], + [ + "▁Water", + -10.282219886779785 + ], + [ + "▁advantage", + -10.28277587890625 + ], + [ + "see", + -10.283234596252441 + ], + [ + "ré", + -10.283341407775879 + ], + [ + "▁motor", + -10.283479690551758 + ], + [ + "mel", + -10.2838716506958 + ], + [ + "▁finding", + -10.284419059753418 + ], + [ + "▁plastic", + -10.286365509033203 + ], + [ + "▁IT", + -10.286602973937988 + ], + [ + "▁Church", + -10.286916732788086 + ], + [ + "▁shape", + -10.287345886230469 + ], + [ + "▁gets", + -10.287763595581055 + ], + [ + "▁followed", + -10.288186073303223 + ], + [ + "▁100%", + -10.288315773010254 + ], + [ + "▁Program", + -10.28912353515625 + ], + [ + "▁Another", + -10.28934383392334 + ], + [ + "▁zwei", + -10.289522171020508 + ], + [ + "▁father", + -10.289839744567871 + ], + [ + "▁rich", + -10.290282249450684 + ], + [ + "où", + -10.290810585021973 + ], + [ + "▁lines", + -10.290934562683105 + ], + [ + "▁distance", + -10.291757583618164 + ], + [ + "▁cell", + -10.291876792907715 + ], + [ + "▁parte", + -10.292072296142578 + ], + [ + "bit", + -10.292445182800293 + ], + [ + "▁perhaps", + -10.292749404907227 + ], + [ + "rii", + -10.293590545654297 + ], + [ + "▁session", + -10.294137954711914 + ], + [ + "▁Pentru", + -10.294528007507324 + ], + [ + "ING", + -10.295049667358398 + ], + [ + "ants", + -10.295478820800781 + ], + [ + "▁remain", + -10.295543670654297 + ], + [ + "13", + -10.295588493347168 + ], + [ + "▁finished", + -10.295763969421387 + ], + [ + "bel", + -10.298725128173828 + ], + [ + "▁organizations", + -10.299455642700195 + ], + [ + "▁Any", + -10.299896240234375 + ], + [ + "▁taste", + -10.300277709960938 + ], + [ + "Whether", + -10.300600051879883 + ], + [ + "ram", + -10.300874710083008 + ], + [ + "like", + -10.301307678222656 + ], + [ + "▁artist", + -10.301319122314453 + ], + [ + "aire", + -10.303369522094727 + ], + [ + "▁French", + -10.303386688232422 + ], + [ + "▁donc", + -10.303634643554688 + ], + [ + "ow", + -10.30386734008789 + ], + [ + "▁200", + -10.303993225097656 + ], + [ + "▁paint", + -10.304465293884277 + ], + [ + "▁Open", + -10.304535865783691 + ], + [ + "▁appear", + -10.304722785949707 + ], + [ + "▁Washington", + -10.304765701293945 + ], + [ + "▁target", + -10.30491828918457 + ], + [ + "pir", + -10.305578231811523 + ], + [ + "▁generally", + -10.305987358093262 + ], + [ + "▁British", + -10.306790351867676 + ], + [ + "▁seven", + -10.306937217712402 + ], + [ + "▁bio", + -10.307162284851074 + ], + [ + "▁sector", + -10.307358741760254 + ], + [ + "90", + -10.30777359008789 + ], + [ + "▁fapt", + -10.307881355285645 + ], + [ + "▁prefer", + -10.308316230773926 + ], + [ + "▁partner", + -10.308427810668945 + ], + [ + "ăm", + -10.308547973632812 + ], + [ + "▁diverse", + -10.308610916137695 + ], + [ + "▁onto", + -10.309283256530762 + ], + [ + "▁refer", + -10.309828758239746 + ], + [ + "▁Law", + -10.310302734375 + ], + [ + "▁Ri", + -10.310596466064453 + ], + [ + "▁critical", + -10.310735702514648 + ], + [ + "▁copy", + -10.310897827148438 + ], + [ + "ck", + -10.311517715454102 + ], + [ + "ix", + -10.311732292175293 + ], + [ + "tag", + -10.311793327331543 + ], + [ + "▁Road", + -10.311936378479004 + ], + [ + "▁concern", + -10.312053680419922 + ], + [ + "▁maximum", + -10.312095642089844 + ], + [ + "▁train", + -10.312148094177246 + ], + [ + "▁într", + -10.312189102172852 + ], + [ + "ura", + -10.313023567199707 + ], + [ + "▁Qu", + -10.313481330871582 + ], + [ + "▁links", + -10.313538551330566 + ], + [ + "▁audience", + -10.313969612121582 + ], + [ + "▁foot", + -10.314554214477539 + ], + [ + "▁Blue", + -10.314605712890625 + ], + [ + "ification", + -10.315386772155762 + ], + [ + "▁developing", + -10.315847396850586 + ], + [ + "▁interior", + -10.315876007080078 + ], + [ + "=", + -10.316556930541992 + ], + [ + "▁aceasta", + -10.31698989868164 + ], + [ + "▁dedicated", + -10.317373275756836 + ], + [ + "▁movement", + -10.317383766174316 + ], + [ + "sta", + -10.318868637084961 + ], + [ + "▁challenges", + -10.319018363952637 + ], + [ + "inte", + -10.319074630737305 + ], + [ + "▁Euro", + -10.319075584411621 + ], + [ + "▁classic", + -10.320341110229492 + ], + [ + "▁Um", + -10.320767402648926 + ], + [ + "▁alternative", + -10.321407318115234 + ], + [ + "mann", + -10.321614265441895 + ], + [ + "▁Une", + -10.322278022766113 + ], + [ + "qu", + -10.322415351867676 + ], + [ + "▁heavy", + -10.322434425354004 + ], + [ + "▁install", + -10.322484970092773 + ], + [ + "▁fiind", + -10.322504043579102 + ], + [ + "▁leaders", + -10.323003768920898 + ], + [ + "▁views", + -10.323019981384277 + ], + [ + "▁www", + -10.323084831237793 + ], + [ + "▁standards", + -10.323270797729492 + ], + [ + "ong", + -10.323580741882324 + ], + [ + "40", + -10.323833465576172 + ], + [ + "▁cm", + -10.323848724365234 + ], + [ + "▁park", + -10.324324607849121 + ], + [ + "▁himself", + -10.324419021606445 + ], + [ + "▁People", + -10.324649810791016 + ], + [ + "▁separate", + -10.324843406677246 + ], + [ + "▁secure", + -10.325018882751465 + ], + [ + "sie", + -10.325084686279297 + ], + [ + "▁maintenance", + -10.325199127197266 + ], + [ + "▁encourage", + -10.32766056060791 + ], + [ + "ein", + -10.328139305114746 + ], + [ + "▁reviews", + -10.328202247619629 + ], + [ + "▁Michael", + -10.328210830688477 + ], + [ + "▁background", + -10.328283309936523 + ], + [ + "▁therefore", + -10.328433990478516 + ], + [ + "▁server", + -10.328487396240234 + ], + [ + "▁dream", + -10.328742027282715 + ], + [ + "ping", + -10.329025268554688 + ], + [ + "▁block", + -10.329855918884277 + ], + [ + "▁2009", + -10.330734252929688 + ], + [ + "▁facilities", + -10.330931663513184 + ], + [ + "▁II", + -10.331367492675781 + ], + [ + "▁attend", + -10.33156967163086 + ], + [ + "▁cap", + -10.33224105834961 + ], + [ + "35", + -10.332416534423828 + ], + [ + "▁steel", + -10.332796096801758 + ], + [ + "▁shared", + -10.333391189575195 + ], + [ + "▁doctor", + -10.333939552307129 + ], + [ + "▁River", + -10.33411693572998 + ], + [ + "▁Bay", + -10.334456443786621 + ], + [ + "▁length", + -10.335005760192871 + ], + [ + "▁jobs", + -10.335466384887695 + ], + [ + "▁Plus", + -10.335992813110352 + ], + [ + "▁station", + -10.336140632629395 + ], + [ + "▁elements", + -10.336268424987793 + ], + [ + "▁rock", + -10.336668014526367 + ], + [ + "▁professionals", + -10.336670875549316 + ], + [ + "cle", + -10.336777687072754 + ], + [ + "▁dont", + -10.336873054504395 + ], + [ + "urilor", + -10.337142944335938 + ], + [ + "▁gain", + -10.337271690368652 + ], + [ + "▁programme", + -10.337540626525879 + ], + [ + "▁Cor", + -10.338377952575684 + ], + [ + "▁leader", + -10.338542938232422 + ], + [ + "ării", + -10.33876895904541 + ], + [ + "▁>", + -10.339137077331543 + ], + [ + "▁task", + -10.339471817016602 + ], + [ + "▁seeing", + -10.339943885803223 + ], + [ + "▁statement", + -10.34045696258545 + ], + [ + "vin", + -10.341094017028809 + ], + [ + "▁fish", + -10.341700553894043 + ], + [ + "▁advanced", + -10.342403411865234 + ], + [ + "▁discuss", + -10.342494010925293 + ], + [ + "die", + -10.342904090881348 + ], + [ + "isch", + -10.342944145202637 + ], + [ + "▁plenty", + -10.342947959899902 + ], + [ + "▁Hall", + -10.343120574951172 + ], + [ + "▁Other", + -10.343339920043945 + ], + [ + "▁homes", + -10.344944953918457 + ], + [ + "▁Ni", + -10.345016479492188 + ], + [ + "▁testing", + -10.345102310180664 + ], + [ + "▁Last", + -10.345392227172852 + ], + [ + "▁Note", + -10.345595359802246 + ], + [ + "▁talking", + -10.345934867858887 + ], + [ + "▁exchange", + -10.347042083740234 + ], + [ + "▁exercise", + -10.347189903259277 + ], + [ + "▁cea", + -10.347546577453613 + ], + [ + "▁wife", + -10.34820556640625 + ], + [ + "▁Für", + -10.348480224609375 + ], + [ + "▁Texas", + -10.34981918334961 + ], + [ + "▁fr", + -10.35065746307373 + ], + [ + "▁speak", + -10.350894927978516 + ], + [ + "17", + -10.351007461547852 + ], + [ + "70", + -10.351462364196777 + ], + [ + "▁promote", + -10.351851463317871 + ], + [ + "tul", + -10.351990699768066 + ], + [ + "apos", + -10.35208511352539 + ], + [ + "▁Jahr", + -10.35214900970459 + ], + [ + "▁Trump", + -10.352204322814941 + ], + [ + "▁ohne", + -10.352357864379883 + ], + [ + "▁learned", + -10.353700637817383 + ], + [ + "▁Sp", + -10.353803634643555 + ], + [ + "▁owner", + -10.354275703430176 + ], + [ + "mor", + -10.354422569274902 + ], + [ + "▁fois", + -10.354452133178711 + ], + [ + "▁meaning", + -10.35518741607666 + ], + [ + "▁dacă", + -10.355249404907227 + ], + [ + "nic", + -10.355484008789062 + ], + [ + "а", + -10.355525970458984 + ], + [ + "14", + -10.355767250061035 + ], + [ + "▁driver", + -10.356258392333984 + ], + [ + "▁Amazon", + -10.3567533493042 + ], + [ + "▁flow", + -10.358469009399414 + ], + [ + "▁shot", + -10.358726501464844 + ], + [ + "▁sous", + -10.35914421081543 + ], + [ + "▁Gold", + -10.359339714050293 + ], + [ + "▁straight", + -10.359562873840332 + ], + [ + "▁conference", + -10.359610557556152 + ], + [ + "▁peste", + -10.359662055969238 + ], + [ + "whose", + -10.36030101776123 + ], + [ + "▁installation", + -10.36050796508789 + ], + [ + "▁produced", + -10.360607147216797 + ], + [ + "▁independent", + -10.36192512512207 + ], + [ + "▁Institute", + -10.362021446228027 + ], + [ + "▁James", + -10.362373352050781 + ], + [ + "▁mental", + -10.362601280212402 + ], + [ + "ara", + -10.362798690795898 + ], + [ + "ium", + -10.363021850585938 + ], + [ + "▁husband", + -10.36306095123291 + ], + [ + "▁guests", + -10.363907814025879 + ], + [ + "27", + -10.364319801330566 + ], + [ + "▁Che", + -10.364651679992676 + ], + [ + "▁Indian", + -10.364694595336914 + ], + [ + "zer", + -10.36478042602539 + ], + [ + "▁minimum", + -10.364962577819824 + ], + [ + "500", + -10.365096092224121 + ], + [ + "▁sit", + -10.36561393737793 + ], + [ + "put", + -10.36656379699707 + ], + [ + "▁avea", + -10.36665153503418 + ], + [ + "▁ride", + -10.367088317871094 + ], + [ + "gan", + -10.367152214050293 + ], + [ + "▁Ke", + -10.36747932434082 + ], + [ + "book", + -10.367515563964844 + ], + [ + "ages", + -10.368019104003906 + ], + [ + "▁presented", + -10.368157386779785 + ], + [ + "▁Com", + -10.368927955627441 + ], + [ + "▁Call", + -10.369053840637207 + ], + [ + "▁fee", + -10.369847297668457 + ], + [ + "ări", + -10.369905471801758 + ], + [ + "▁putea", + -10.37072467803955 + ], + [ + "▁Public", + -10.371030807495117 + ], + [ + "▁pa", + -10.371152877807617 + ], + [ + "28", + -10.371233940124512 + ], + [ + "▁Director", + -10.37126350402832 + ], + [ + "▁contains", + -10.3717622756958 + ], + [ + "▁factors", + -10.372554779052734 + ], + [ + "▁famous", + -10.372614860534668 + ], + [ + "▁bathroom", + -10.373040199279785 + ], + [ + "▁core", + -10.37353229522705 + ], + [ + "▁viele", + -10.373610496520996 + ], + [ + "▁acum", + -10.374361991882324 + ], + [ + "▁animal", + -10.374407768249512 + ], + [ + "▁Ihnen", + -10.374425888061523 + ], + [ + "▁Find", + -10.374545097351074 + ], + [ + "▁Fall", + -10.374861717224121 + ], + [ + "ford", + -10.376051902770996 + ], + [ + "▁coverage", + -10.3765287399292 + ], + [ + "▁smart", + -10.376830101013184 + ], + [ + "ries", + -10.376893997192383 + ], + [ + "▁memory", + -10.3772554397583 + ], + [ + "▁dance", + -10.377443313598633 + ], + [ + "11", + -10.37746810913086 + ], + [ + "▁communities", + -10.377655982971191 + ], + [ + "eurs", + -10.378050804138184 + ], + [ + "▁Florida", + -10.378463745117188 + ], + [ + "▁sport", + -10.379366874694824 + ], + [ + "▁bus", + -10.37992000579834 + ], + [ + "▁colors", + -10.379969596862793 + ], + [ + "▁affect", + -10.380044937133789 + ], + [ + "▁score", + -10.380183219909668 + ], + [ + "▁properties", + -10.38050365447998 + ], + [ + "18", + -10.380593299865723 + ], + [ + "▁astfel", + -10.381312370300293 + ], + [ + "▁beach", + -10.382407188415527 + ], + [ + "▁friendly", + -10.382795333862305 + ], + [ + "izing", + -10.38288688659668 + ], + [ + "▁buying", + -10.383146286010742 + ], + [ + "▁forget", + -10.383195877075195 + ], + [ + "este", + -10.383198738098145 + ], + [ + "▁capacity", + -10.38360595703125 + ], + [ + "▁lose", + -10.383692741394043 + ], + [ + "▁listed", + -10.38407039642334 + ], + [ + "ica", + -10.384084701538086 + ], + [ + "han", + -10.384085655212402 + ], + [ + "▁selbst", + -10.384390830993652 + ], + [ + "▁values", + -10.384391784667969 + ], + [ + "▁Power", + -10.384559631347656 + ], + [ + "▁comments", + -10.384831428527832 + ], + [ + "eux", + -10.385346412658691 + ], + [ + "ați", + -10.385419845581055 + ], + [ + "▁context", + -10.385710716247559 + ], + [ + "liche", + -10.385944366455078 + ], + [ + "▁keeping", + -10.38620662689209 + ], + [ + "▁2008", + -10.38647174835205 + ], + [ + "▁su", + -10.386670112609863 + ], + [ + "▁biggest", + -10.386838912963867 + ], + [ + "▁fiecare", + -10.387356758117676 + ], + [ + "ight", + -10.38845157623291 + ], + [ + "▁toute", + -10.389808654785156 + ], + [ + "▁dinner", + -10.389827728271484 + ], + [ + "bau", + -10.390706062316895 + ], + [ + "▁Mai", + -10.390762329101562 + ], + [ + "▁status", + -10.390776634216309 + ], + [ + "rez", + -10.391340255737305 + ], + [ + "▁selected", + -10.391549110412598 + ], + [ + "▁cells", + -10.392601013183594 + ], + [ + "▁eight", + -10.393319129943848 + ], + [ + "▁package", + -10.393320083618164 + ], + [ + "▁scale", + -10.39333724975586 + ], + [ + "din", + -10.39336109161377 + ], + [ + "▁Who", + -10.393381118774414 + ], + [ + "▁century", + -10.393399238586426 + ], + [ + "▁bi", + -10.393516540527344 + ], + [ + "▁Africa", + -10.39384937286377 + ], + [ + "▁http", + -10.394133567810059 + ], + [ + "▁named", + -10.394230842590332 + ], + [ + "▁adding", + -10.394901275634766 + ], + [ + "▁mention", + -10.395039558410645 + ], + [ + "▁casino", + -10.395421981811523 + ], + [ + "▁couldn", + -10.395624160766602 + ], + [ + "▁outdoor", + -10.395912170410156 + ], + [ + "▁sugar", + -10.3960542678833 + ], + [ + "▁prepared", + -10.396124839782715 + ], + [ + "21", + -10.396528244018555 + ], + [ + "▁Ba", + -10.396632194519043 + ], + [ + "vers", + -10.396697998046875 + ], + [ + "ration", + -10.396773338317871 + ], + [ + "▁ja", + -10.397035598754883 + ], + [ + "▁aspect", + -10.397224426269531 + ], + [ + "▁31", + -10.397462844848633 + ], + [ + "▁treat", + -10.397475242614746 + ], + [ + "tru", + -10.397841453552246 + ], + [ + "▁flat", + -10.397890090942383 + ], + [ + "32", + -10.397989273071289 + ], + [ + "▁reality", + -10.398238182067871 + ], + [ + "▁waste", + -10.39876937866211 + ], + [ + "▁King", + -10.399649620056152 + ], + [ + "▁drug", + -10.399870872497559 + ], + [ + "▁operations", + -10.400120735168457 + ], + [ + "▁aim", + -10.40042495727539 + ], + [ + "▁fans", + -10.400444984436035 + ], + [ + "▁vers", + -10.400891304016113 + ], + [ + "▁plants", + -10.400971412658691 + ], + [ + "▁Dis", + -10.401477813720703 + ], + [ + "▁Daten", + -10.401510238647461 + ], + [ + "être", + -10.40267276763916 + ], + [ + "▁placed", + -10.40326976776123 + ], + [ + "▁bon", + -10.403977394104004 + ], + [ + "beim", + -10.4041109085083 + ], + [ + "▁slow", + -10.40501880645752 + ], + [ + "cri", + -10.405512809753418 + ], + [ + "▁Care", + -10.405691146850586 + ], + [ + "mes", + -10.406211853027344 + ], + [ + "26", + -10.406257629394531 + ], + [ + "box", + -10.406330108642578 + ], + [ + "▁helpful", + -10.406362533569336 + ], + [ + "▁documents", + -10.406543731689453 + ], + [ + "▁visitors", + -10.406773567199707 + ], + [ + "ture", + -10.406862258911133 + ], + [ + "▁Menschen", + -10.406891822814941 + ], + [ + "▁Chi", + -10.406975746154785 + ], + [ + "▁recipe", + -10.40764045715332 + ], + [ + "▁kept", + -10.407693862915039 + ], + [ + "▁Grand", + -10.407915115356445 + ], + [ + "▁operating", + -10.408178329467773 + ], + [ + "point", + -10.408329010009766 + ], + [ + "▁bin", + -10.40837287902832 + ], + [ + "▁Tri", + -10.40845775604248 + ], + [ + "Be", + -10.408512115478516 + ], + [ + "▁experiences", + -10.40856647491455 + ], + [ + "▁academic", + -10.408608436584473 + ], + [ + "▁finden", + -10.40870475769043 + ], + [ + "▁sera", + -10.409092903137207 + ], + [ + "act", + -10.410541534423828 + ], + [ + "▁Pa", + -10.410907745361328 + ], + [ + "▁society", + -10.411056518554688 + ], + [ + "▁combination", + -10.411237716674805 + ], + [ + "5%", + -10.41182804107666 + ], + [ + "▁owners", + -10.41188907623291 + ], + [ + "▁poor", + -10.412039756774902 + ], + [ + "▁Robert", + -10.412378311157227 + ], + [ + "▁military", + -10.412964820861816 + ], + [ + "▁economy", + -10.413033485412598 + ], + [ + "▁aware", + -10.413055419921875 + ], + [ + "rot", + -10.413443565368652 + ], + [ + "mie", + -10.413544654846191 + ], + [ + "▁Thursday", + -10.414399147033691 + ], + [ + "▁2011", + -10.41490650177002 + ], + [ + "▁fantastic", + -10.41554069519043 + ], + [ + "▁numerous", + -10.415921211242676 + ], + [ + "▁fair", + -10.4165620803833 + ], + [ + "med", + -10.416753768920898 + ], + [ + "▁welche", + -10.416893005371094 + ], + [ + "▁fruit", + -10.41712760925293 + ], + [ + "ku", + -10.417325019836426 + ], + [ + "▁Social", + -10.417583465576172 + ], + [ + "▁funds", + -10.418157577514648 + ], + [ + "▁atunci", + -10.418214797973633 + ], + [ + "▁Part", + -10.418238639831543 + ], + [ + "▁Big", + -10.418301582336426 + ], + [ + "▁2010", + -10.419414520263672 + ], + [ + "▁detail", + -10.419889450073242 + ], + [ + "▁Peter", + -10.419942855834961 + ], + [ + "ani", + -10.420196533203125 + ], + [ + "▁Wie", + -10.420795440673828 + ], + [ + "▁Tu", + -10.421649932861328 + ], + [ + "ear", + -10.421706199645996 + ], + [ + "▁Wenn", + -10.421941757202148 + ], + [ + "▁manager", + -10.42199993133545 + ], + [ + "▁Dan", + -10.422409057617188 + ], + [ + "▁Pi", + -10.42257308959961 + ], + [ + "▁wants", + -10.422652244567871 + ], + [ + "▁Data", + -10.42322826385498 + ], + [ + "pos", + -10.42387580871582 + ], + [ + "▁older", + -10.423946380615234 + ], + [ + "▁Download", + -10.424071311950684 + ], + [ + "▁Was", + -10.424107551574707 + ], + [ + "▁corner", + -10.424195289611816 + ], + [ + "▁president", + -10.424199104309082 + ], + [ + "mas", + -10.424248695373535 + ], + [ + "▁smaller", + -10.424361228942871 + ], + [ + "▁bright", + -10.424459457397461 + ], + [ + "▁proper", + -10.424582481384277 + ], + [ + "▁Kinder", + -10.424637794494629 + ], + [ + "▁Two", + -10.424668312072754 + ], + [ + "▁award", + -10.42471694946289 + ], + [ + "▁premier", + -10.425211906433105 + ], + [ + "▁seek", + -10.425646781921387 + ], + [ + "▁thank", + -10.425662994384766 + ], + [ + "▁proud", + -10.426509857177734 + ], + [ + "▁workers", + -10.426774024963379 + ], + [ + "▁2000", + -10.426970481872559 + ], + [ + "▁gone", + -10.427482604980469 + ], + [ + "▁medium", + -10.427693367004395 + ], + [ + "▁grade", + -10.42777156829834 + ], + [ + "▁Ru", + -10.427800178527832 + ], + [ + "cro", + -10.427851676940918 + ], + [ + "▁interview", + -10.428311347961426 + ], + [ + "23", + -10.428787231445312 + ], + [ + "▁mari", + -10.429442405700684 + ], + [ + "▁80", + -10.429756164550781 + ], + [ + "▁Ga", + -10.430047035217285 + ], + [ + "▁90", + -10.431839942932129 + ], + [ + "▁anderen", + -10.432605743408203 + ], + [ + "▁cultural", + -10.433018684387207 + ], + [ + "but", + -10.433144569396973 + ], + [ + "rum", + -10.433300018310547 + ], + [ + "get", + -10.43338680267334 + ], + [ + "▁pop", + -10.433582305908203 + ], + [ + "▁Information", + -10.433594703674316 + ], + [ + "▁press", + -10.434972763061523 + ], + [ + "▁Project", + -10.435359001159668 + ], + [ + "▁excited", + -10.435755729675293 + ], + [ + "▁Saint", + -10.436088562011719 + ], + [ + "▁England", + -10.436192512512207 + ], + [ + "▁beauty", + -10.43643856048584 + ], + [ + "▁agreement", + -10.436464309692383 + ], + [ + "▁Like", + -10.437565803527832 + ], + [ + "▁strength", + -10.437664985656738 + ], + [ + "▁waiting", + -10.438165664672852 + ], + [ + "и", + -10.438270568847656 + ], + [ + "Le", + -10.438329696655273 + ], + [ + "▁residents", + -10.43835735321045 + ], + [ + "▁Ben", + -10.438603401184082 + ], + [ + "▁mentioned", + -10.439260482788086 + ], + [ + "▁etwas", + -10.43930721282959 + ], + [ + "▁rooms", + -10.439347267150879 + ], + [ + "▁neue", + -10.439501762390137 + ], + [ + "▁Microsoft", + -10.439726829528809 + ], + [ + "▁passed", + -10.440205574035645 + ], + [ + "▁sea", + -10.440893173217773 + ], + [ + "▁electric", + -10.441244125366211 + ], + [ + "▁forms", + -10.441384315490723 + ], + [ + "▁Central", + -10.441597938537598 + ], + [ + "▁Lord", + -10.442625999450684 + ], + [ + "ute", + -10.442763328552246 + ], + [ + "▁pré", + -10.442790031433105 + ], + [ + "▁square", + -10.44308090209961 + ], + [ + "itatea", + -10.443451881408691 + ], + [ + "▁debt", + -10.443757057189941 + ], + [ + "▁street", + -10.443975448608398 + ], + [ + "▁pi", + -10.444917678833008 + ], + [ + "▁happened", + -10.445326805114746 + ], + [ + "▁Tuesday", + -10.445592880249023 + ], + [ + "recht", + -10.446094512939453 + ], + [ + "▁Eine", + -10.44627857208252 + ], + [ + "▁Set", + -10.446768760681152 + ], + [ + "▁federal", + -10.4468412399292 + ], + [ + "CC", + -10.446905136108398 + ], + [ + "....", + -10.446938514709473 + ], + [ + "lig", + -10.447463035583496 + ], + [ + "▁Christian", + -10.44870662689209 + ], + [ + "▁truth", + -10.449213981628418 + ], + [ + "▁map", + -10.449728012084961 + ], + [ + "▁secret", + -10.449979782104492 + ], + [ + "▁Chinese", + -10.450844764709473 + ], + [ + "hol", + -10.450895309448242 + ], + [ + "▁wrote", + -10.451505661010742 + ], + [ + "▁hospital", + -10.451783180236816 + ], + [ + "▁Island", + -10.451870918273926 + ], + [ + "▁frame", + -10.451946258544922 + ], + [ + "▁sources", + -10.452117919921875 + ], + [ + "pan", + -10.453242301940918 + ], + [ + "▁29", + -10.453530311584473 + ], + [ + "▁changing", + -10.454547882080078 + ], + [ + "▁Where", + -10.454627990722656 + ], + [ + "▁negative", + -10.45471477508545 + ], + [ + "▁processes", + -10.45491886138916 + ], + [ + "▁leadership", + -10.455029487609863 + ], + [ + "▁nos", + -10.455195426940918 + ], + [ + "▁info", + -10.455780029296875 + ], + [ + "▁Gu", + -10.45595645904541 + ], + [ + "▁CO", + -10.45605182647705 + ], + [ + "▁reference", + -10.456884384155273 + ], + [ + "▁corporate", + -10.457097053527832 + ], + [ + "▁characters", + -10.457563400268555 + ], + [ + "▁dining", + -10.4577054977417 + ], + [ + "▁becoming", + -10.459708213806152 + ], + [ + "▁4.", + -10.460311889648438 + ], + [ + "▁Science", + -10.460626602172852 + ], + [ + "▁Education", + -10.461943626403809 + ], + [ + "▁camp", + -10.46207046508789 + ], + [ + "fall", + -10.462146759033203 + ], + [ + "▁Auch", + -10.462471961975098 + ], + [ + "▁topic", + -10.462519645690918 + ], + [ + "▁influence", + -10.463460922241211 + ], + [ + "▁70", + -10.463892936706543 + ], + [ + "▁identify", + -10.464459419250488 + ], + [ + "▁(19", + -10.464646339416504 + ], + [ + "care", + -10.465216636657715 + ], + [ + "ions", + -10.466215133666992 + ], + [ + "ray", + -10.4663724899292 + ], + [ + "▁Both", + -10.466577529907227 + ], + [ + "▁collect", + -10.466997146606445 + ], + [ + "▁practices", + -10.467667579650879 + ], + [ + "▁fight", + -10.468058586120605 + ], + [ + "▁injury", + -10.46873664855957 + ], + [ + "▁nici", + -10.46905517578125 + ], + [ + "▁depuis", + -10.469563484191895 + ], + [ + "▁actions", + -10.469609260559082 + ], + [ + "▁Wednesday", + -10.47089958190918 + ], + [ + "▁bill", + -10.471086502075195 + ], + [ + "▁cheap", + -10.471318244934082 + ], + [ + "lui", + -10.471719741821289 + ], + [ + "▁awesome", + -10.471731185913086 + ], + [ + "tig", + -10.472554206848145 + ], + [ + "▁expensive", + -10.472636222839355 + ], + [ + "ceea", + -10.472834587097168 + ], + [ + "▁exact", + -10.472907066345215 + ], + [ + "22", + -10.473462104797363 + ], + [ + "▁avant", + -10.47352123260498 + ], + [ + "▁fat", + -10.47353744506836 + ], + [ + "▁spending", + -10.474353790283203 + ], + [ + "▁designs", + -10.47608470916748 + ], + [ + "▁damit", + -10.4761323928833 + ], + [ + "▁comp", + -10.47619342803955 + ], + [ + "▁whatever", + -10.476434707641602 + ], + [ + "▁Light", + -10.476442337036133 + ], + [ + "▁quarter", + -10.47680377960205 + ], + [ + "hand", + -10.477301597595215 + ], + [ + "▁connected", + -10.477584838867188 + ], + [ + "▁technologies", + -10.47772216796875 + ], + [ + "ges", + -10.477808952331543 + ], + [ + "▁shower", + -10.478998184204102 + ], + [ + "▁500", + -10.47923469543457 + ], + [ + "▁Time", + -10.479436874389648 + ], + [ + "▁zone", + -10.480525970458984 + ], + [ + "▁vote", + -10.480624198913574 + ], + [ + "▁andere", + -10.480871200561523 + ], + [ + "▁otherwise", + -10.480988502502441 + ], + [ + "tur", + -10.481294631958008 + ], + [ + "▁happens", + -10.481504440307617 + ], + [ + "hin", + -10.481597900390625 + ], + [ + "▁volume", + -10.482161521911621 + ], + [ + "▁thousands", + -10.482391357421875 + ], + [ + "war", + -10.482551574707031 + ], + [ + "▁Play", + -10.482900619506836 + ], + [ + "▁temperature", + -10.48371410369873 + ], + [ + "▁industrial", + -10.483830451965332 + ], + [ + "▁fuel", + -10.483915328979492 + ], + [ + "100", + -10.48409366607666 + ], + [ + "top", + -10.484210014343262 + ], + [ + "kin", + -10.484312057495117 + ], + [ + "▁efficient", + -10.484414100646973 + ], + [ + "teil", + -10.484525680541992 + ], + [ + "alt", + -10.484578132629395 + ], + [ + "▁monde", + -10.48483657836914 + ], + [ + "▁Ra", + -10.484899520874023 + ], + [ + "▁bedroom", + -10.485103607177734 + ], + [ + "▁showing", + -10.485316276550293 + ], + [ + "▁continued", + -10.485490798950195 + ], + [ + "▁Plan", + -10.48552131652832 + ], + [ + "▁assistance", + -10.486014366149902 + ], + [ + "▁discover", + -10.48622989654541 + ], + [ + "▁Year", + -10.486238479614258 + ], + [ + "▁applied", + -10.486433029174805 + ], + [ + "▁audio", + -10.48755931854248 + ], + [ + "▁thus", + -10.487645149230957 + ], + [ + "▁permet", + -10.48806095123291 + ], + [ + "▁fashion", + -10.488532066345215 + ], + [ + "cra", + -10.488645553588867 + ], + [ + "ious", + -10.488700866699219 + ], + [ + "▁focused", + -10.489258766174316 + ], + [ + "16", + -10.48930549621582 + ], + [ + "▁arm", + -10.489364624023438 + ], + [ + "▁Their", + -10.489789962768555 + ], + [ + "▁Foundation", + -10.49022388458252 + ], + [ + "▁majority", + -10.49022388458252 + ], + [ + "▁wind", + -10.490785598754883 + ], + [ + "▁bought", + -10.491056442260742 + ], + [ + "▁factor", + -10.491918563842773 + ], + [ + "▁opened", + -10.49213695526123 + ], + [ + "tern", + -10.492374420166016 + ], + [ + "▁cars", + -10.492597579956055 + ], + [ + "▁exciting", + -10.492691040039062 + ], + [ + "▁affordable", + -10.493510246276855 + ], + [ + "ches", + -10.493563652038574 + ], + [ + "▁panel", + -10.493720054626465 + ], + [ + "▁caused", + -10.493793487548828 + ], + [ + "▁travail", + -10.493998527526855 + ], + [ + "▁roof", + -10.494073867797852 + ], + [ + "▁enable", + -10.494202613830566 + ], + [ + "▁toward", + -10.494491577148438 + ], + [ + "▁Development", + -10.494688987731934 + ], + [ + "▁foreign", + -10.495308876037598 + ], + [ + "avi", + -10.495320320129395 + ], + [ + "long", + -10.495328903198242 + ], + [ + "De", + -10.49578857421875 + ], + [ + "▁Mon", + -10.49588394165039 + ], + [ + "▁Va", + -10.495942115783691 + ], + [ + "AP", + -10.496097564697266 + ], + [ + "▁asta", + -10.49720573425293 + ], + [ + "▁prepare", + -10.497220993041992 + ], + [ + "▁German", + -10.497261047363281 + ], + [ + "▁Centre", + -10.497325897216797 + ], + [ + "ère", + -10.497367858886719 + ], + [ + "▁fear", + -10.497537612915039 + ], + [ + "▁Este", + -10.497878074645996 + ], + [ + "▁Des", + -10.49793529510498 + ], + [ + "▁Kon", + -10.499308586120605 + ], + [ + "á", + -10.499866485595703 + ], + [ + "stand", + -10.500805854797363 + ], + [ + "▁Real", + -10.500842094421387 + ], + [ + "lichen", + -10.50098705291748 + ], + [ + "▁Beach", + -10.501455307006836 + ], + [ + "▁expertise", + -10.50185775756836 + ], + [ + "▁route", + -10.502445220947266 + ], + [ + "▁nation", + -10.502551078796387 + ], + [ + "▁snow", + -10.503022193908691 + ], + [ + "▁articles", + -10.503127098083496 + ], + [ + "▁Wood", + -10.504426956176758 + ], + [ + "▁operation", + -10.50494384765625 + ], + [ + "▁passion", + -10.505215644836426 + ], + [ + "▁cand", + -10.505690574645996 + ], + [ + "haus", + -10.505701065063477 + ], + [ + "OR", + -10.505711555480957 + ], + [ + "▁senior", + -10.506511688232422 + ], + [ + "▁becomes", + -10.506546020507812 + ], + [ + "▁sounds", + -10.506878852844238 + ], + [ + "▁enjoyed", + -10.50704574584961 + ], + [ + "▁gegen", + -10.507533073425293 + ], + [ + "▁courses", + -10.507919311523438 + ], + [ + "▁absolutely", + -10.508257865905762 + ], + [ + "tim", + -10.508264541625977 + ], + [ + "uff", + -10.508516311645508 + ], + [ + "▁moins", + -10.50860595703125 + ], + [ + "▁TO", + -10.509060859680176 + ], + [ + "▁fabric", + -10.509267807006836 + ], + [ + "poli", + -10.509326934814453 + ], + [ + "▁Bre", + -10.509761810302734 + ], + [ + "▁bo", + -10.509916305541992 + ], + [ + "▁Elle", + -10.510469436645508 + ], + [ + "bu", + -10.512336730957031 + ], + [ + "▁participants", + -10.512401580810547 + ], + [ + "stone", + -10.512794494628906 + ], + [ + "ties", + -10.51366138458252 + ], + [ + "▁listen", + -10.513700485229492 + ], + [ + "▁Spiel", + -10.513752937316895 + ], + [ + "pot", + -10.513872146606445 + ], + [ + "▁selling", + -10.514358520507812 + ], + [ + "▁geht", + -10.514680862426758 + ], + [ + "▁mini", + -10.515146255493164 + ], + [ + "▁trans", + -10.515408515930176 + ], + [ + "▁ingredients", + -10.515642166137695 + ], + [ + "auf", + -10.515671730041504 + ], + [ + "▁orice", + -10.51595401763916 + ], + [ + "▁Next", + -10.516300201416016 + ], + [ + "▁cream", + -10.516756057739258 + ], + [ + "▁edge", + -10.516973495483398 + ], + [ + "▁recommended", + -10.517022132873535 + ], + [ + "▁Form", + -10.517277717590332 + ], + [ + "▁processing", + -10.51746940612793 + ], + [ + "vert", + -10.517709732055664 + ], + [ + "▁described", + -10.518362998962402 + ], + [ + "▁installed", + -10.51884937286377 + ], + [ + "▁managed", + -10.518952369689941 + ], + [ + "▁electronic", + -10.518966674804688 + ], + [ + "▁performed", + -10.519064903259277 + ], + [ + "▁raise", + -10.519098281860352 + ], + [ + "▁imagine", + -10.519281387329102 + ], + [ + "down", + -10.51952838897705 + ], + [ + "▁fond", + -10.519978523254395 + ], + [ + "▁Inter", + -10.520434379577637 + ], + [ + "▁Mc", + -10.520550727844238 + ], + [ + "▁Dans", + -10.520679473876953 + ], + [ + "istic", + -10.520966529846191 + ], + [ + "▁miss", + -10.521052360534668 + ], + [ + "sur", + -10.521062850952148 + ], + [ + "▁Col", + -10.521879196166992 + ], + [ + "cut", + -10.522021293640137 + ], + [ + "▁dupa", + -10.522160530090332 + ], + [ + "▁Twitter", + -10.522604942321777 + ], + [ + "▁bowl", + -10.523721694946289 + ], + [ + "▁remains", + -10.5237455368042 + ], + [ + "▁Jan", + -10.524046897888184 + ], + [ + "▁smooth", + -10.524162292480469 + ], + [ + "▁fees", + -10.524415969848633 + ], + [ + "▁aid", + -10.524494171142578 + ], + [ + "▁presence", + -10.524827003479004 + ], + [ + "▁Android", + -10.52499771118164 + ], + [ + "▁decisions", + -10.52539348602295 + ], + [ + "▁names", + -10.5254487991333 + ], + [ + "▁Music", + -10.525546073913574 + ], + [ + "▁innovative", + -10.525578498840332 + ], + [ + "▁Tom", + -10.525997161865234 + ], + [ + "▁spread", + -10.526165962219238 + ], + [ + "▁lovely", + -10.526222229003906 + ], + [ + "▁daughter", + -10.526397705078125 + ], + [ + "US", + -10.527050971984863 + ], + [ + "▁facility", + -10.52710247039795 + ], + [ + "▁peace", + -10.527105331420898 + ], + [ + "▁department", + -10.527277946472168 + ], + [ + "▁weiter", + -10.527591705322266 + ], + [ + "▁Sun", + -10.527756690979004 + ], + [ + "▁fund", + -10.527772903442383 + ], + [ + "▁2018.", + -10.52792739868164 + ], + [ + "▁discussion", + -10.528186798095703 + ], + [ + "75", + -10.528799057006836 + ], + [ + "EC", + -10.529126167297363 + ], + [ + "▁lunch", + -10.529144287109375 + ], + [ + "▁videos", + -10.52927017211914 + ], + [ + "05", + -10.531253814697266 + ], + [ + "ige", + -10.531266212463379 + ], + [ + "▁parking", + -10.531564712524414 + ], + [ + "▁relationships", + -10.531732559204102 + ], + [ + "▁George", + -10.532986640930176 + ], + [ + "▁teachers", + -10.53299617767334 + ], + [ + "room", + -10.533458709716797 + ], + [ + "▁Tra", + -10.533605575561523 + ], + [ + "▁Sam", + -10.533651351928711 + ], + [ + "▁properly", + -10.535590171813965 + ], + [ + "▁Book", + -10.535629272460938 + ], + [ + "▁CA", + -10.536957740783691 + ], + [ + "▁calls", + -10.53756046295166 + ], + [ + "▁stat", + -10.538175582885742 + ], + [ + "ux", + -10.538220405578613 + ], + [ + "▁soit", + -10.538439750671387 + ], + [ + "▁Community", + -10.538684844970703 + ], + [ + "▁Jahren", + -10.538714408874512 + ], + [ + "▁increasing", + -10.539575576782227 + ], + [ + "▁civil", + -10.540184020996094 + ], + [ + "app", + -10.540573120117188 + ], + [ + "▁35", + -10.540589332580566 + ], + [ + "▁rise", + -10.540600776672363 + ], + [ + "▁dabei", + -10.540989875793457 + ], + [ + "▁studio", + -10.541803359985352 + ], + [ + "▁policies", + -10.542054176330566 + ], + [ + "▁agent", + -10.542055130004883 + ], + [ + "▁Before", + -10.542601585388184 + ], + [ + "▁Cal", + -10.543017387390137 + ], + [ + "▁2005", + -10.543404579162598 + ], + [ + "▁sample", + -10.543777465820312 + ], + [ + "▁manner", + -10.545186996459961 + ], + [ + "wing", + -10.54521369934082 + ], + [ + "stra", + -10.545552253723145 + ], + [ + "▁fel", + -10.545793533325195 + ], + [ + "▁Show", + -10.545952796936035 + ], + [ + "▁scene", + -10.54656982421875 + ], + [ + "mic", + -10.546764373779297 + ], + [ + "nom", + -10.546995162963867 + ], + [ + "▁typically", + -10.547088623046875 + ], + [ + "▁pair", + -10.547104835510254 + ], + [ + "▁detailed", + -10.547394752502441 + ], + [ + "▁Work", + -10.547422409057617 + ], + [ + "▁cities", + -10.547451972961426 + ], + [ + "▁Rock", + -10.54749584197998 + ], + [ + "▁Gar", + -10.547906875610352 + ], + [ + "▁serving", + -10.548352241516113 + ], + [ + "▁machen", + -10.548521995544434 + ], + [ + "▁trees", + -10.54888916015625 + ], + [ + "▁accident", + -10.549199104309082 + ], + [ + "▁cloud", + -10.54920482635498 + ], + [ + "▁animals", + -10.549297332763672 + ], + [ + "▁Den", + -10.549897193908691 + ], + [ + "▁Wa", + -10.54990291595459 + ], + [ + "▁suggest", + -10.550220489501953 + ], + [ + "putting", + -10.550407409667969 + ], + [ + "▁suite", + -10.550434112548828 + ], + [ + "▁clearly", + -10.550849914550781 + ], + [ + "▁net", + -10.551287651062012 + ], + [ + "▁funding", + -10.551506996154785 + ], + [ + "▁salt", + -10.551935195922852 + ], + [ + "▁Men", + -10.552119255065918 + ], + [ + "ped", + -10.552419662475586 + ], + [ + "▁Food", + -10.553142547607422 + ], + [ + "▁leaving", + -10.553544998168945 + ], + [ + "▁Government", + -10.554243087768555 + ], + [ + "ick", + -10.554381370544434 + ], + [ + "▁seat", + -10.555121421813965 + ], + [ + "▁Los", + -10.555183410644531 + ], + [ + "▁teacher", + -10.555587768554688 + ], + [ + "▁iPhone", + -10.555693626403809 + ], + [ + "▁300", + -10.556120872497559 + ], + [ + "▁commitment", + -10.556180000305176 + ], + [ + "▁aspects", + -10.556498527526855 + ], + [ + "▁previously", + -10.55711555480957 + ], + [ + "▁cent", + -10.5572509765625 + ], + [ + "▁Vo", + -10.557341575622559 + ], + [ + "▁artists", + -10.557963371276855 + ], + [ + "▁runs", + -10.558130264282227 + ], + [ + ">", + -10.558155059814453 + ], + [ + "▁Gi", + -10.558273315429688 + ], + [ + "▁mar", + -10.5585355758667 + ], + [ + "!!!", + -10.558544158935547 + ], + [ + "▁Media", + -10.558943748474121 + ], + [ + "▁feedback", + -10.559109687805176 + ], + [ + "▁resolution", + -10.559117317199707 + ], + [ + "IN", + -10.55915641784668 + ], + [ + "▁wurden", + -10.55952262878418 + ], + [ + "▁busy", + -10.559832572937012 + ], + [ + "▁adult", + -10.5600004196167 + ], + [ + "29", + -10.560487747192383 + ], + [ + "elles", + -10.561375617980957 + ], + [ + "▁closed", + -10.561762809753418 + ], + [ + "▁trouble", + -10.561767578125 + ], + [ + "▁rent", + -10.561984062194824 + ], + [ + "lot", + -10.56224536895752 + ], + [ + "▁importance", + -10.562314987182617 + ], + [ + "▁units", + -10.56257438659668 + ], + [ + "Pro", + -10.562713623046875 + ], + [ + "▁provider", + -10.563005447387695 + ], + [ + "▁visual", + -10.563288688659668 + ], + [ + "IT", + -10.563385009765625 + ], + [ + "▁diet", + -10.563733100891113 + ], + [ + "▁appearance", + -10.563932418823242 + ], + [ + "pin", + -10.564576148986816 + ], + [ + "▁Din", + -10.564760208129883 + ], + [ + "▁eating", + -10.565516471862793 + ], + [ + "Fi", + -10.565762519836426 + ], + [ + "ball", + -10.565765380859375 + ], + [ + "är", + -10.565861701965332 + ], + [ + "ney", + -10.565878868103027 + ], + [ + "▁records", + -10.566070556640625 + ], + [ + "▁Fi", + -10.566180229187012 + ], + [ + "▁faut", + -10.566329002380371 + ], + [ + "▁CD", + -10.566803932189941 + ], + [ + "ign", + -10.566930770874023 + ], + [ + "▁vă", + -10.566996574401855 + ], + [ + "▁agency", + -10.567153930664062 + ], + [ + "ierung", + -10.567323684692383 + ], + [ + "▁Back", + -10.567361831665039 + ], + [ + "▁windows", + -10.567545890808105 + ], + [ + "▁pull", + -10.567888259887695 + ], + [ + "ash", + -10.567959785461426 + ], + [ + "▁profit", + -10.568593978881836 + ], + [ + "▁brings", + -10.568605422973633 + ], + [ + "▁Committee", + -10.569122314453125 + ], + [ + "▁girl", + -10.569174766540527 + ], + [ + "▁vehicles", + -10.569372177124023 + ], + [ + "▁Hier", + -10.569567680358887 + ], + [ + "ES", + -10.569639205932617 + ], + [ + "până", + -10.569880485534668 + ], + [ + "▁Kunden", + -10.570380210876465 + ], + [ + "pen", + -10.570462226867676 + ], + [ + "▁explain", + -10.570505142211914 + ], + [ + "▁cadru", + -10.570760726928711 + ], + [ + "▁attack", + -10.571100234985352 + ], + [ + "▁markets", + -10.571115493774414 + ], + [ + "▁claims", + -10.571340560913086 + ], + [ + "▁walking", + -10.571385383605957 + ], + [ + "▁pouv", + -10.571528434753418 + ], + [ + "low", + -10.571642875671387 + ], + [ + "▁showed", + -10.572114944458008 + ], + [ + "▁principal", + -10.57211971282959 + ], + [ + "▁lucru", + -10.572144508361816 + ], + [ + "▁precum", + -10.572712898254395 + ], + [ + "TA", + -10.573094367980957 + ], + [ + "▁partners", + -10.573104858398438 + ], + [ + "▁exist", + -10.573136329650879 + ], + [ + "▁internal", + -10.57334041595459 + ], + [ + "hen", + -10.573945045471191 + ], + [ + "▁Master", + -10.573966979980469 + ], + [ + "unless", + -10.574013710021973 + ], + [ + "▁doubt", + -10.574721336364746 + ], + [ + "$", + -10.574785232543945 + ], + [ + "▁Long", + -10.574888229370117 + ], + [ + "▁leaves", + -10.574907302856445 + ], + [ + "allowing", + -10.575063705444336 + ], + [ + "pol", + -10.575272560119629 + ], + [ + "▁Up", + -10.575491905212402 + ], + [ + "▁Contact", + -10.576093673706055 + ], + [ + "▁practical", + -10.57708740234375 + ], + [ + "▁suit", + -10.57758903503418 + ], + [ + "▁Site", + -10.577656745910645 + ], + [ + "▁formation", + -10.57768726348877 + ], + [ + "▁signal", + -10.578215599060059 + ], + [ + "▁approximately", + -10.578414916992188 + ], + [ + "▁ourselves", + -10.578497886657715 + ], + [ + "▁colour", + -10.578519821166992 + ], + [ + "▁species", + -10.578530311584473 + ], + [ + "▁advance", + -10.578753471374512 + ], + [ + "▁PM", + -10.57891845703125 + ], + [ + "ans", + -10.579121589660645 + ], + [ + "▁locations", + -10.579397201538086 + ], + [ + "vous", + -10.579601287841797 + ], + [ + "▁updated", + -10.579636573791504 + ], + [ + "▁faith", + -10.579673767089844 + ], + [ + "mus", + -10.579740524291992 + ], + [ + "▁stores", + -10.579863548278809 + ], + [ + "heim", + -10.580127716064453 + ], + [ + "▁suitable", + -10.580558776855469 + ], + [ + "▁continues", + -10.580703735351562 + ], + [ + "▁fac", + -10.581133842468262 + ], + [ + "ever", + -10.581156730651855 + ], + [ + "▁Bill", + -10.581195831298828 + ], + [ + "▁chose", + -10.58121109008789 + ], + [ + "▁inform", + -10.581228256225586 + ], + [ + "▁environmental", + -10.581427574157715 + ], + [ + "▁responsibility", + -10.58188533782959 + ], + [ + "99", + -10.582542419433594 + ], + [ + "▁competitive", + -10.583723068237305 + ], + [ + "▁strategies", + -10.583903312683105 + ], + [ + "▁toujours", + -10.584270477294922 + ], + [ + "tive", + -10.58430290222168 + ], + [ + "▁automatically", + -10.585600852966309 + ], + [ + "▁dress", + -10.585609436035156 + ], + [ + "▁Minister", + -10.585624694824219 + ], + [ + "har", + -10.586076736450195 + ], + [ + "▁Start", + -10.586249351501465 + ], + [ + "▁=", + -10.586563110351562 + ], + [ + "▁pattern", + -10.58659553527832 + ], + [ + "tier", + -10.58676528930664 + ], + [ + "▁pays", + -10.587034225463867 + ], + [ + "▁profile", + -10.58725357055664 + ], + [ + "▁raised", + -10.587263107299805 + ], + [ + "ange", + -10.587288856506348 + ], + [ + "▁drink", + -10.587762832641602 + ], + [ + "▁element", + -10.588042259216309 + ], + [ + "▁landscape", + -10.58875560760498 + ], + [ + "▁Tag", + -10.589073181152344 + ], + [ + "▁cheese", + -10.589590072631836 + ], + [ + "ific", + -10.590009689331055 + ], + [ + "▁Stadt", + -10.590181350708008 + ], + [ + "39", + -10.591398239135742 + ], + [ + "▁launch", + -10.592113494873047 + ], + [ + "▁wouldn", + -10.592150688171387 + ], + [ + "AS", + -10.592202186584473 + ], + [ + "▁push", + -10.593059539794922 + ], + [ + "▁mill", + -10.593452453613281 + ], + [ + "▁mass", + -10.593647003173828 + ], + [ + "▁category", + -10.593790054321289 + ], + [ + "sondern", + -10.594050407409668 + ], + [ + "col", + -10.594111442565918 + ], + [ + "▁climate", + -10.594313621520996 + ], + [ + "lier", + -10.594437599182129 + ], + [ + "▁slightly", + -10.595514297485352 + ], + [ + "95", + -10.596519470214844 + ], + [ + "ace", + -10.596612930297852 + ], + [ + "▁domain", + -10.597633361816406 + ], + [ + "kan", + -10.598306655883789 + ], + [ + "▁feed", + -10.598485946655273 + ], + [ + "▁Live", + -10.598837852478027 + ], + [ + "▁Mais", + -10.599113464355469 + ], + [ + "▁après", + -10.599365234375 + ], + [ + "▁village", + -10.59941577911377 + ], + [ + "▁hatte", + -10.59968090057373 + ], + [ + "▁joined", + -10.599881172180176 + ], + [ + "▁Museum", + -10.600311279296875 + ], + [ + "head", + -10.600855827331543 + ], + [ + "▁draw", + -10.6009521484375 + ], + [ + "▁concerns", + -10.600966453552246 + ], + [ + "ER", + -10.601505279541016 + ], + [ + "▁technique", + -10.601648330688477 + ], + [ + "▁Bio", + -10.601861000061035 + ], + [ + "▁Sea", + -10.601881980895996 + ], + [ + "▁@", + -10.601927757263184 + ], + [ + "wer", + -10.6021146774292 + ], + [ + "▁battery", + -10.602462768554688 + ], + [ + "▁mostly", + -10.60267448425293 + ], + [ + "▁familiar", + -10.602680206298828 + ], + [ + "▁Sub", + -10.602689743041992 + ], + [ + "▁delicious", + -10.603222846984863 + ], + [ + "doch", + -10.60326099395752 + ], + [ + "60", + -10.603395462036133 + ], + [ + "▁carte", + -10.603611946105957 + ], + [ + "▁avut", + -10.604146957397461 + ], + [ + "▁premium", + -10.60460376739502 + ], + [ + "▁attempt", + -10.604704856872559 + ], + [ + "▁Über", + -10.60473346710205 + ], + [ + "▁combined", + -10.604935646057129 + ], + [ + "lement", + -10.604947090148926 + ], + [ + "▁voi", + -10.605031967163086 + ], + [ + "▁wonder", + -10.605376243591309 + ], + [ + "▁failure", + -10.606106758117676 + ], + [ + "which", + -10.606147766113281 + ], + [ + "esti", + -10.606316566467285 + ], + [ + "31", + -10.606547355651855 + ], + [ + "▁sta", + -10.606734275817871 + ], + [ + "▁transform", + -10.60673999786377 + ], + [ + "▁license", + -10.606743812561035 + ], + [ + "▁depending", + -10.606758117675781 + ], + [ + "▁specifically", + -10.606782913208008 + ], + [ + "▁OF", + -10.60693645477295 + ], + [ + "band", + -10.606959342956543 + ], + [ + "▁Sport", + -10.60731315612793 + ], + [ + "list", + -10.607434272766113 + ], + [ + "▁Tour", + -10.60753059387207 + ], + [ + "▁Israel", + -10.607564926147461 + ], + [ + "▁filled", + -10.607722282409668 + ], + [ + "▁manual", + -10.60776138305664 + ], + [ + "▁watching", + -10.608621597290039 + ], + [ + "▁rule", + -10.608877182006836 + ], + [ + "mat", + -10.60901927947998 + ], + [ + "▁notes", + -10.609585762023926 + ], + [ + "▁Oh", + -10.60960578918457 + ], + [ + "▁bereits", + -10.609634399414062 + ], + [ + "▁foundation", + -10.609916687011719 + ], + [ + "▁vital", + -10.610146522521973 + ], + [ + "▁lassen", + -10.610747337341309 + ], + [ + "▁cât", + -10.611162185668945 + ], + [ + "▁shipping", + -10.611433029174805 + ], + [ + "▁registered", + -10.611513137817383 + ], + [ + "▁jour", + -10.612669944763184 + ], + [ + "▁island", + -10.61276626586914 + ], + [ + "▁sets", + -10.613068580627441 + ], + [ + "▁football", + -10.613683700561523 + ], + [ + "▁EU", + -10.613860130310059 + ], + [ + "▁stone", + -10.614019393920898 + ], + [ + "▁Press", + -10.614699363708496 + ], + [ + "▁adapt", + -10.615066528320312 + ], + [ + "ised", + -10.615425109863281 + ], + [ + "▁thoughts", + -10.615434646606445 + ], + [ + "▁doors", + -10.615851402282715 + ], + [ + "€", + -10.615954399108887 + ], + [ + "▁components", + -10.616040229797363 + ], + [ + "rig", + -10.616332054138184 + ], + [ + "▁generation", + -10.616585731506348 + ], + [ + "▁guess", + -10.616700172424316 + ], + [ + "cker", + -10.61694049835205 + ], + [ + "▁realize", + -10.617207527160645 + ], + [ + "▁Roman", + -10.617310523986816 + ], + [ + "▁contre", + -10.617693901062012 + ], + [ + "▁Out", + -10.617938995361328 + ], + [ + "▁IN", + -10.619051933288574 + ], + [ + "cip", + -10.619085311889648 + ], + [ + "59", + -10.619330406188965 + ], + [ + "▁enhance", + -10.619768142700195 + ], + [ + "▁battle", + -10.61982250213623 + ], + [ + "▁monitor", + -10.619863510131836 + ], + [ + "▁Martin", + -10.62045955657959 + ], + [ + "▁websites", + -10.620461463928223 + ], + [ + "▁DE", + -10.620599746704102 + ], + [ + "▁Festival", + -10.620951652526855 + ], + [ + "ân", + -10.62131118774414 + ], + [ + "▁Place", + -10.621419906616211 + ], + [ + "▁rare", + -10.621554374694824 + ], + [ + "această", + -10.621726989746094 + ], + [ + "▁sollte", + -10.621731758117676 + ], + [ + "▁Read", + -10.621816635131836 + ], + [ + "ware", + -10.622169494628906 + ], + [ + "Those", + -10.622671127319336 + ], + [ + "ende", + -10.623543739318848 + ], + [ + "▁prix", + -10.623835563659668 + ], + [ + "▁roman", + -10.624101638793945 + ], + [ + "▁creation", + -10.624224662780762 + ], + [ + "▁confidence", + -10.624552726745605 + ], + [ + "▁Japan", + -10.624638557434082 + ], + [ + "▁rain", + -10.624942779541016 + ], + [ + "▁guys", + -10.62518310546875 + ], + [ + "▁south", + -10.625236511230469 + ], + [ + "▁trading", + -10.625646591186523 + ], + [ + "▁€", + -10.626100540161133 + ], + [ + "▁Film", + -10.626341819763184 + ], + [ + "▁pana", + -10.627065658569336 + ], + [ + "▁asemenea", + -10.627066612243652 + ], + [ + "36", + -10.627190589904785 + ], + [ + "▁instance", + -10.627884864807129 + ], + [ + "cou", + -10.629385948181152 + ], + [ + "▁nun", + -10.630074501037598 + ], + [ + "▁Pass", + -10.630390167236328 + ], + [ + "Cette", + -10.630579948425293 + ], + [ + "▁Network", + -10.630876541137695 + ], + [ + "▁prime", + -10.631010055541992 + ], + [ + "▁spiritual", + -10.632098197937012 + ], + [ + "▁tough", + -10.633030891418457 + ], + [ + "▁AND", + -10.633086204528809 + ], + [ + "▁Cat", + -10.633601188659668 + ], + [ + "▁boat", + -10.633611679077148 + ], + [ + "▁leads", + -10.634864807128906 + ], + [ + "▁Germany", + -10.63509750366211 + ], + [ + "▁valuable", + -10.635635375976562 + ], + [ + "57", + -10.635892868041992 + ], + [ + "lect", + -10.636148452758789 + ], + [ + "▁distribution", + -10.636445045471191 + ], + [ + "dar", + -10.636518478393555 + ], + [ + "▁Manager", + -10.637701988220215 + ], + [ + "cha", + -10.637725830078125 + ], + [ + "▁obtain", + -10.637741088867188 + ], + [ + "GB", + -10.637908935546875 + ], + [ + "▁unor", + -10.638079643249512 + ], + [ + "schaft", + -10.638603210449219 + ], + [ + "▁zwischen", + -10.638723373413086 + ], + [ + "▁winning", + -10.639172554016113 + ], + [ + "▁suis", + -10.639811515808105 + ], + [ + "58", + -10.640130996704102 + ], + [ + "▁Party", + -10.640372276306152 + ], + [ + "▁ceva", + -10.640416145324707 + ], + [ + "▁comprehensive", + -10.640684127807617 + ], + [ + "▁aceste", + -10.640726089477539 + ], + [ + "▁committed", + -10.640726089477539 + ], + [ + "▁Hu", + -10.641382217407227 + ], + [ + "ţ", + -10.64149284362793 + ], + [ + "▁north", + -10.642021179199219 + ], + [ + "werk", + -10.642542839050293 + ], + [ + "▁interface", + -10.642794609069824 + ], + [ + "▁Valley", + -10.64281177520752 + ], + [ + "▁anywhere", + -10.64281177520752 + ], + [ + "▁Only", + -10.642851829528809 + ], + [ + "TE", + -10.643295288085938 + ], + [ + "hui", + -10.6436767578125 + ], + [ + "bus", + -10.643951416015625 + ], + [ + "vis", + -10.6439790725708 + ], + [ + "▁Society", + -10.645116806030273 + ], + [ + "▁reliable", + -10.64556884765625 + ], + [ + "▁quelques", + -10.64563274383545 + ], + [ + "tech", + -10.646187782287598 + ], + [ + "ual", + -10.646377563476562 + ], + [ + "▁educational", + -10.646418571472168 + ], + [ + "serv", + -10.646490097045898 + ], + [ + "▁opinion", + -10.646628379821777 + ], + [ + "▁appears", + -10.646702766418457 + ], + [ + "▁count", + -10.646795272827148 + ], + [ + "irea", + -10.646981239318848 + ], + [ + "ban", + -10.647504806518555 + ], + [ + "▁45", + -10.647530555725098 + ], + [ + "▁contain", + -10.647661209106445 + ], + [ + "ost", + -10.647663116455078 + ], + [ + "▁anul", + -10.647706031799316 + ], + [ + "rien", + -10.648159980773926 + ], + [ + "gra", + -10.648360252380371 + ], + [ + "▁counter", + -10.648946762084961 + ], + [ + "-3", + -10.650411605834961 + ], + [ + "▁resource", + -10.650463104248047 + ], + [ + "▁Wo", + -10.6505126953125 + ], + [ + "▁posts", + -10.650618553161621 + ], + [ + "▁employee", + -10.651320457458496 + ], + [ + "rol", + -10.651863098144531 + ], + [ + "▁ended", + -10.651969909667969 + ], + [ + "met", + -10.653080940246582 + ], + [ + "▁meine", + -10.653165817260742 + ], + [ + "▁reached", + -10.653368949890137 + ], + [ + "gri", + -10.653716087341309 + ], + [ + "▁Bra", + -10.65374755859375 + ], + [ + "▁conduct", + -10.654294967651367 + ], + [ + "▁housing", + -10.654422760009766 + ], + [ + "▁tickets", + -10.654792785644531 + ], + [ + "▁database", + -10.655674934387207 + ], + [ + "IL", + -10.656150817871094 + ], + [ + "▁perspective", + -10.656359672546387 + ], + [ + "▁Har", + -10.656404495239258 + ], + [ + "▁error", + -10.656549453735352 + ], + [ + "▁meal", + -10.656569480895996 + ], + [ + "▁hearing", + -10.657238006591797 + ], + [ + "▁transition", + -10.657302856445312 + ], + [ + "▁browser", + -10.657609939575195 + ], + [ + "▁supported", + -10.657609939575195 + ], + [ + "▁starts", + -10.658814430236816 + ], + [ + "țe", + -10.658902168273926 + ], + [ + "▁adults", + -10.658905029296875 + ], + [ + "▁România", + -10.65917682647705 + ], + [ + "dra", + -10.659884452819824 + ], + [ + "▁worry", + -10.660222053527832 + ], + [ + "▁avoir", + -10.660497665405273 + ], + [ + "▁regional", + -10.660507202148438 + ], + [ + "▁min", + -10.660722732543945 + ], + [ + "▁Does", + -10.660806655883789 + ], + [ + "▁Keep", + -10.661200523376465 + ], + [ + "rom", + -10.661237716674805 + ], + [ + "sco", + -10.661320686340332 + ], + [ + "tem", + -10.661898612976074 + ], + [ + "▁Old", + -10.661954879760742 + ], + [ + "▁Under", + -10.662552833557129 + ], + [ + "▁Commission", + -10.662557601928711 + ], + [ + "▁Bau", + -10.6632661819458 + ], + [ + "▁News", + -10.663358688354492 + ], + [ + "▁mois", + -10.663444519042969 + ], + [ + "▁respond", + -10.66356372833252 + ], + [ + "▁alles", + -10.663878440856934 + ], + [ + "▁chair", + -10.664475440979004 + ], + [ + "▁ho", + -10.664854049682617 + ], + [ + "right", + -10.664908409118652 + ], + [ + "▁totally", + -10.665532112121582 + ], + [ + "gle", + -10.665534973144531 + ], + [ + "▁32", + -10.665604591369629 + ], + [ + "66", + -10.665664672851562 + ], + [ + "town", + -10.665902137756348 + ], + [ + "Ch", + -10.666261672973633 + ], + [ + "▁gr", + -10.66629695892334 + ], + [ + "▁garage", + -10.666328430175781 + ], + [ + "ții", + -10.666495323181152 + ], + [ + "▁Union", + -10.667136192321777 + ], + [ + "ică", + -10.667343139648438 + ], + [ + "▁2,", + -10.668437004089355 + ], + [ + "▁reflect", + -10.669163703918457 + ], + [ + "▁retail", + -10.669388771057129 + ], + [ + "▁unde", + -10.669605255126953 + ], + [ + "▁accessible", + -10.670262336730957 + ], + [ + "water", + -10.67059326171875 + ], + [ + "▁regard", + -10.670710563659668 + ], + [ + "▁logo", + -10.671489715576172 + ], + [ + "▁inspired", + -10.671518325805664 + ], + [ + "▁Wall", + -10.671859741210938 + ], + [ + "▁Ste", + -10.672093391418457 + ], + [ + "▁asking", + -10.672179222106934 + ], + [ + "▁Journal", + -10.673028945922852 + ], + [ + "▁Teil", + -10.674042701721191 + ], + [ + "▁collaboration", + -10.674185752868652 + ], + [ + "▁acid", + -10.674266815185547 + ], + [ + "▁Fund", + -10.674382209777832 + ], + [ + "▁spirit", + -10.6744384765625 + ], + [ + "despite", + -10.674457550048828 + ], + [ + "▁delivered", + -10.674821853637695 + ], + [ + "▁girls", + -10.675374984741211 + ], + [ + "▁Look", + -10.675896644592285 + ], + [ + "rant", + -10.675949096679688 + ], + [ + "▁District", + -10.676460266113281 + ], + [ + "▁rental", + -10.676709175109863 + ], + [ + "▁spune", + -10.676733016967773 + ], + [ + "els", + -10.677544593811035 + ], + [ + "▁permanent", + -10.677659034729004 + ], + [ + "▁iron", + -10.677709579467773 + ], + [ + "▁Thomas", + -10.677745819091797 + ], + [ + "EL", + -10.678071022033691 + ], + [ + "▁except", + -10.678074836730957 + ], + [ + "▁catch", + -10.678366661071777 + ], + [ + "▁providers", + -10.678375244140625 + ], + [ + "▁2006", + -10.678435325622559 + ], + [ + "▁chat", + -10.679931640625 + ], + [ + "▁emergency", + -10.680281639099121 + ], + [ + "gre", + -10.68030834197998 + ], + [ + "site", + -10.680888175964355 + ], + [ + "▁missing", + -10.68089485168457 + ], + [ + "abil", + -10.680914878845215 + ], + [ + "▁Hill", + -10.68099594116211 + ], + [ + "urs", + -10.681312561035156 + ], + [ + "▁plusieurs", + -10.681716918945312 + ], + [ + "▁birthday", + -10.681726455688477 + ], + [ + "DS", + -10.682019233703613 + ], + [ + "ersten", + -10.682381629943848 + ], + [ + "▁5.", + -10.68252944946289 + ], + [ + "▁library", + -10.68333911895752 + ], + [ + "▁earth", + -10.683515548706055 + ], + [ + "CI", + -10.683645248413086 + ], + [ + "▁lighting", + -10.684442520141602 + ], + [ + "▁fixed", + -10.684879302978516 + ], + [ + "tori", + -10.684891700744629 + ], + [ + "▁replace", + -10.684995651245117 + ], + [ + "▁administration", + -10.685074806213379 + ], + [ + "leurs", + -10.685229301452637 + ], + [ + "▁meat", + -10.686142921447754 + ], + [ + "▁songs", + -10.686662673950195 + ], + [ + "▁confirm", + -10.686866760253906 + ], + [ + "▁rapid", + -10.68698787689209 + ], + [ + "▁Special", + -10.686995506286621 + ], + [ + "▁holding", + -10.687115669250488 + ], + [ + "▁honor", + -10.687271118164062 + ], + [ + "▁Market", + -10.687409400939941 + ], + [ + "La", + -10.687535285949707 + ], + [ + "▁measure", + -10.687760353088379 + ], + [ + "▁guarantee", + -10.68785572052002 + ], + [ + "▁switch", + -10.68813419342041 + ], + [ + "▁extensive", + -10.688294410705566 + ], + [ + "▁Neu", + -10.688674926757812 + ], + [ + "avez", + -10.688901901245117 + ], + [ + "▁protein", + -10.688984870910645 + ], + [ + "▁infrastructure", + -10.689454078674316 + ], + [ + "▁functions", + -10.689494132995605 + ], + [ + "▁cont", + -10.689496040344238 + ], + [ + "row", + -10.689760208129883 + ], + [ + "star", + -10.689773559570312 + ], + [ + "▁Port", + -10.690192222595215 + ], + [ + "Using", + -10.690336227416992 + ], + [ + "▁faster", + -10.690557479858398 + ], + [ + "44", + -10.691168785095215 + ], + [ + "▁measures", + -10.691615104675293 + ], + [ + "▁celor", + -10.69186019897461 + ], + [ + "▁exam", + -10.69189739227295 + ], + [ + "200", + -10.69202995300293 + ], + [ + "î", + -10.692545890808105 + ], + [ + "▁conversation", + -10.692832946777344 + ], + [ + "▁brands", + -10.692959785461426 + ], + [ + "▁Code", + -10.69359016418457 + ], + [ + "▁Website", + -10.693748474121094 + ], + [ + "OS", + -10.693782806396484 + ], + [ + "▁alors", + -10.693822860717773 + ], + [ + "▁organ", + -10.694032669067383 + ], + [ + "▁removed", + -10.694823265075684 + ], + [ + "▁Head", + -10.694905281066895 + ], + [ + "▁Cha", + -10.694908142089844 + ], + [ + "▁visiting", + -10.694928169250488 + ], + [ + "▁wild", + -10.694928169250488 + ], + [ + "▁seit", + -10.694962501525879 + ], + [ + "49", + -10.695109367370605 + ], + [ + "▁organic", + -10.69539737701416 + ], + [ + "aţi", + -10.695775032043457 + ], + [ + "▁kit", + -10.695947647094727 + ], + [ + "68", + -10.695959091186523 + ], + [ + "▁flowers", + -10.696124076843262 + ], + [ + "▁appreciate", + -10.697006225585938 + ], + [ + "▁dead", + -10.697439193725586 + ], + [ + "▁Fire", + -10.697539329528809 + ], + [ + "▁cela", + -10.697591781616211 + ], + [ + "▁Ph", + -10.697633743286133 + ], + [ + "▁arrive", + -10.697921752929688 + ], + [ + "▁purposes", + -10.698213577270508 + ], + [ + "▁qualité", + -10.698226928710938 + ], + [ + "▁restaurants", + -10.698478698730469 + ], + [ + "▁advertising", + -10.698541641235352 + ], + [ + "cur", + -10.69855785369873 + ], + [ + "▁ça", + -10.698973655700684 + ], + [ + "▁introduced", + -10.699088096618652 + ], + [ + "▁returned", + -10.699111938476562 + ], + [ + "▁desire", + -10.699511528015137 + ], + [ + "▁soul", + -10.699983596801758 + ], + [ + "▁Technology", + -10.699994087219238 + ], + [ + ");", + -10.700163841247559 + ], + [ + "▁Royal", + -10.700282096862793 + ], + [ + "tant", + -10.70068645477295 + ], + [ + "▁possibly", + -10.700702667236328 + ], + [ + "▁consumers", + -10.700812339782715 + ], + [ + "▁doua", + -10.70097541809082 + ], + [ + "ified", + -10.70097827911377 + ], + [ + "▁Award", + -10.70114803314209 + ], + [ + "toutes", + -10.70130443572998 + ], + [ + "▁meant", + -10.701325416564941 + ], + [ + "ezi", + -10.701616287231445 + ], + [ + "▁plu", + -10.701766014099121 + ], + [ + "ţii", + -10.7021484375 + ], + [ + "▁talent", + -10.702789306640625 + ], + [ + "▁Security", + -10.703309059143066 + ], + [ + "arii", + -10.703352928161621 + ], + [ + "▁zi", + -10.703455924987793 + ], + [ + "▁Shop", + -10.703667640686035 + ], + [ + "▁breakfast", + -10.704107284545898 + ], + [ + "▁trial", + -10.704485893249512 + ], + [ + "ami", + -10.704936981201172 + ], + [ + "▁register", + -10.705301284790039 + ], + [ + "unserer", + -10.705646514892578 + ], + [ + "▁solar", + -10.705697059631348 + ], + [ + "▁deals", + -10.70591926574707 + ], + [ + "▁Ku", + -10.7059326171875 + ], + [ + "To", + -10.706186294555664 + ], + [ + "bat", + -10.70680046081543 + ], + [ + "MC", + -10.707010269165039 + ], + [ + "▁Global", + -10.707018852233887 + ], + [ + "у", + -10.707405090332031 + ], + [ + "▁nor", + -10.707818984985352 + ], + [ + "▁milk", + -10.707868576049805 + ], + [ + "▁choices", + -10.708206176757812 + ], + [ + "»", + -10.7086763381958 + ], + [ + "▁Sur", + -10.708695411682129 + ], + [ + "more", + -10.708739280700684 + ], + [ + "48", + -10.709024429321289 + ], + [ + "67", + -10.709375381469727 + ], + [ + "▁replacement", + -10.709942817687988 + ], + [ + "34", + -10.710440635681152 + ], + [ + "▁chocolate", + -10.710485458374023 + ], + [ + "▁Family", + -10.71059513092041 + ], + [ + "This", + -10.71122932434082 + ], + [ + "▁novel", + -10.711435317993164 + ], + [ + "▁Chicago", + -10.711563110351562 + ], + [ + "▁participate", + -10.71166706085205 + ], + [ + "▁trei", + -10.712727546691895 + ], + [ + "▁monthly", + -10.713729858398438 + ], + [ + "▁survey", + -10.713977813720703 + ], + [ + "▁End", + -10.714285850524902 + ], + [ + "▁Medical", + -10.71442699432373 + ], + [ + "autres", + -10.714678764343262 + ], + [ + "rich", + -10.714698791503906 + ], + [ + "▁bike", + -10.714703559875488 + ], + [ + "▁eventually", + -10.714717864990234 + ], + [ + "▁HD", + -10.714722633361816 + ], + [ + "bil", + -10.714744567871094 + ], + [ + "cent", + -10.714902877807617 + ], + [ + "▁afin", + -10.715676307678223 + ], + [ + "▁surgery", + -10.716160774230957 + ], + [ + "▁sin", + -10.716455459594727 + ], + [ + "▁manufacturing", + -10.716955184936523 + ], + [ + "▁consumer", + -10.717245101928711 + ], + [ + "system", + -10.717306137084961 + ], + [ + "▁object", + -10.717400550842285 + ], + [ + "▁Ju", + -10.717422485351562 + ], + [ + "ered", + -10.7178373336792 + ], + [ + "rac", + -10.718070030212402 + ], + [ + "▁clinical", + -10.718664169311523 + ], + [ + "▁dollars", + -10.719761848449707 + ], + [ + "▁chain", + -10.71994686126709 + ], + [ + "▁afternoon", + -10.720196723937988 + ], + [ + "▁ligne", + -10.720422744750977 + ], + [ + "▁accounts", + -10.721806526184082 + ], + [ + "ving", + -10.722037315368652 + ], + [ + "▁Australian", + -10.72240924835205 + ], + [ + "38", + -10.722542762756348 + ], + [ + "▁persoane", + -10.72258472442627 + ], + [ + "▁grande", + -10.722668647766113 + ], + [ + "▁Report", + -10.723472595214844 + ], + [ + "▁revenue", + -10.723649024963379 + ], + [ + "▁spre", + -10.723760604858398 + ], + [ + "▁cutting", + -10.7239990234375 + ], + [ + "▁approved", + -10.724133491516113 + ], + [ + "▁glad", + -10.724188804626465 + ], + [ + "chaque", + -10.724395751953125 + ], + [ + "win", + -10.724435806274414 + ], + [ + "▁waren", + -10.724733352661133 + ], + [ + "▁launched", + -10.725071907043457 + ], + [ + "▁layer", + -10.725645065307617 + ], + [ + "▁airport", + -10.725716590881348 + ], + [ + "▁effectively", + -10.72572135925293 + ], + [ + "▁coach", + -10.725946426391602 + ], + [ + "dé", + -10.726130485534668 + ], + [ + "LE", + -10.72627067565918 + ], + [ + "▁müssen", + -10.726386070251465 + ], + [ + "plan", + -10.726641654968262 + ], + [ + "dan", + -10.726705551147461 + ], + [ + "55", + -10.726786613464355 + ], + [ + "bringing", + -10.726895332336426 + ], + [ + "▁$2", + -10.726995468139648 + ], + [ + "nce", + -10.727181434631348 + ], + [ + "▁inspiration", + -10.728177070617676 + ], + [ + "You", + -10.728657722473145 + ], + [ + "▁soll", + -10.729095458984375 + ], + [ + "▁seemed", + -10.729595184326172 + ], + [ + "▁flight", + -10.729687690734863 + ], + [ + "▁prima", + -10.729883193969727 + ], + [ + "▁Welt", + -10.730123519897461 + ], + [ + "▁jetzt", + -10.730315208435059 + ], + [ + "ky", + -10.730428695678711 + ], + [ + "▁Western", + -10.73054027557373 + ], + [ + "▁label", + -10.730600357055664 + ], + [ + "▁möglich", + -10.73081111907959 + ], + [ + "▁input", + -10.730862617492676 + ], + [ + "▁laws", + -10.730995178222656 + ], + [ + "▁personnes", + -10.731708526611328 + ], + [ + "▁paying", + -10.731731414794922 + ], + [ + "▁Uhr", + -10.73173713684082 + ], + [ + "▁Mary", + -10.731745719909668 + ], + [ + "pur", + -10.73190689086914 + ], + [ + "▁covers", + -10.732133865356445 + ], + [ + "▁throw", + -10.732522964477539 + ], + [ + "▁Tor", + -10.733281135559082 + ], + [ + "▁bat", + -10.73355484008789 + ], + [ + "▁Gr", + -10.73373031616211 + ], + [ + "▁farm", + -10.73376178741455 + ], + [ + "▁improved", + -10.733843803405762 + ], + [ + "▁fără", + -10.734286308288574 + ], + [ + "▁theme", + -10.73437213897705 + ], + [ + "pens", + -10.734865188598633 + ], + [ + "▁Cup", + -10.734975814819336 + ], + [ + "▁settings", + -10.735114097595215 + ], + [ + "▁hire", + -10.735234260559082 + ], + [ + "▁massive", + -10.735248565673828 + ], + [ + "▁generate", + -10.735405921936035 + ], + [ + "▁earn", + -10.735837936401367 + ], + [ + "▁tab", + -10.736431121826172 + ], + [ + "For", + -10.736616134643555 + ], + [ + "gang", + -10.736891746520996 + ], + [ + "▁hin", + -10.73709487915039 + ], + [ + "▁roll", + -10.737113952636719 + ], + [ + "▁engagement", + -10.737157821655273 + ], + [ + "▁signed", + -10.737177848815918 + ], + [ + "▁League", + -10.737323760986328 + ], + [ + "▁registration", + -10.737931251525879 + ], + [ + "▁première", + -10.738763809204102 + ], + [ + "isse", + -10.73896598815918 + ], + [ + "▁university", + -10.739027976989746 + ], + [ + "ell", + -10.739157676696777 + ], + [ + "▁nou", + -10.739169120788574 + ], + [ + "rog", + -10.739191055297852 + ], + [ + "▁sitting", + -10.739206314086914 + ], + [ + "▁cazul", + -10.739571571350098 + ], + [ + "▁surrounding", + -10.73983383178711 + ], + [ + "▁Asia", + -10.740357398986816 + ], + [ + "▁bath", + -10.740825653076172 + ], + [ + "hal", + -10.740923881530762 + ], + [ + "▁plate", + -10.741026878356934 + ], + [ + "▁tests", + -10.741151809692383 + ], + [ + "▁presentation", + -10.741156578063965 + ], + [ + "▁chicken", + -10.741501808166504 + ], + [ + "▁Val", + -10.741586685180664 + ], + [ + "ably", + -10.74166488647461 + ], + [ + "▁magazine", + -10.741697311401367 + ], + [ + "▁Maybe", + -10.74187183380127 + ], + [ + "▁sauce", + -10.742673873901367 + ], + [ + "TC", + -10.742887496948242 + ], + [ + "▁exclusive", + -10.74296760559082 + ], + [ + "86", + -10.74306869506836 + ], + [ + "▁teeth", + -10.743474960327148 + ], + [ + "▁regularly", + -10.743524551391602 + ], + [ + "sed", + -10.743824005126953 + ], + [ + "gro", + -10.744174003601074 + ], + [ + "He", + -10.744211196899414 + ], + [ + "▁2017.", + -10.744302749633789 + ], + [ + "▁template", + -10.74489688873291 + ], + [ + "▁gleich", + -10.744938850402832 + ], + [ + "bal", + -10.745061874389648 + ], + [ + "▁African", + -10.74511432647705 + ], + [ + "în", + -10.745231628417969 + ], + [ + "▁rep", + -10.74543571472168 + ], + [ + "▁beat", + -10.74588394165039 + ], + [ + "▁deck", + -10.746064186096191 + ], + [ + "▁intended", + -10.746221542358398 + ], + [ + "▁para", + -10.746513366699219 + ], + [ + "▁IP", + -10.746712684631348 + ], + [ + "▁bra", + -10.746881484985352 + ], + [ + "▁forces", + -10.746966361999512 + ], + [ + "▁routine", + -10.747184753417969 + ], + [ + "▁Jahre", + -10.747758865356445 + ], + [ + "▁Bad", + -10.74797534942627 + ], + [ + "▁drivers", + -10.748074531555176 + ], + [ + "▁updates", + -10.748095512390137 + ], + [ + "▁elegant", + -10.748279571533203 + ], + [ + "▁external", + -10.748444557189941 + ], + [ + "▁engineering", + -10.748819351196289 + ], + [ + "ender", + -10.749544143676758 + ], + [ + "table", + -10.749755859375 + ], + [ + "inter", + -10.749878883361816 + ], + [ + "▁Romania", + -10.749948501586914 + ], + [ + "▁zile", + -10.750468254089355 + ], + [ + "▁luxury", + -10.750570297241211 + ], + [ + "▁calling", + -10.750750541687012 + ], + [ + "▁cooking", + -10.75101375579834 + ], + [ + "▁component", + -10.75114631652832 + ], + [ + "wan", + -10.75121021270752 + ], + [ + "schen", + -10.751212120056152 + ], + [ + "▁birth", + -10.751242637634277 + ], + [ + "asupra", + -10.751349449157715 + ], + [ + "Co", + -10.751471519470215 + ], + [ + "▁opt", + -10.75153923034668 + ], + [ + "▁discovered", + -10.751860618591309 + ], + [ + "▁teach", + -10.752084732055664 + ], + [ + "▁Son", + -10.75234317779541 + ], + [ + "▁guest", + -10.752384185791016 + ], + [ + "▁dogs", + -10.752695083618164 + ], + [ + "▁2003", + -10.752745628356934 + ], + [ + "▁behavior", + -10.752750396728516 + ], + [ + "pé", + -10.7529935836792 + ], + [ + "63", + -10.75316333770752 + ], + [ + "▁Human", + -10.753702163696289 + ], + [ + "▁expression", + -10.754800796508789 + ], + [ + "▁nevoie", + -10.754936218261719 + ], + [ + "▁recherche", + -10.75528621673584 + ], + [ + "ging", + -10.755767822265625 + ], + [ + "related", + -10.755948066711426 + ], + [ + "▁discount", + -10.756040573120117 + ], + [ + "▁Brown", + -10.756054878234863 + ], + [ + "▁Such", + -10.756107330322266 + ], + [ + "▁Ve", + -10.757149696350098 + ], + [ + "▁height", + -10.757265090942383 + ], + [ + "clo", + -10.757414817810059 + ], + [ + "▁incredible", + -10.757912635803223 + ], + [ + "▁bas", + -10.757916450500488 + ], + [ + "▁mă", + -10.75798225402832 + ], + [ + "▁purchased", + -10.758240699768066 + ], + [ + "▁compte", + -10.75831127166748 + ], + [ + "▁instructions", + -10.758537292480469 + ], + [ + "▁Instead", + -10.75866985321045 + ], + [ + "▁output", + -10.758706092834473 + ], + [ + "▁mom", + -10.758886337280273 + ], + [ + "DR", + -10.759828567504883 + ], + [ + "89", + -10.760168075561523 + ], + [ + "▁reduced", + -10.760621070861816 + ], + [ + "98", + -10.7606840133667 + ], + [ + "▁constant", + -10.760879516601562 + ], + [ + "▁therapy", + -10.762417793273926 + ], + [ + "▁capable", + -10.762757301330566 + ], + [ + "mark", + -10.763265609741211 + ], + [ + "▁Sometimes", + -10.76332950592041 + ], + [ + "▁joy", + -10.763419151306152 + ], + [ + "▁perfectly", + -10.763589859008789 + ], + [ + "▁painting", + -10.763704299926758 + ], + [ + "avait", + -10.763765335083008 + ], + [ + "▁Sha", + -10.764384269714355 + ], + [ + "▁dat", + -10.764463424682617 + ], + [ + "▁produits", + -10.764479637145996 + ], + [ + "tric", + -10.76456356048584 + ], + [ + "ierte", + -10.765153884887695 + ], + [ + "▁Smith", + -10.765836715698242 + ], + [ + "▁trebui", + -10.766264915466309 + ], + [ + "▁beaucoup", + -10.766630172729492 + ], + [ + "▁chosen", + -10.767189025878906 + ], + [ + "▁cre", + -10.76732063293457 + ], + [ + "▁complet", + -10.767341613769531 + ], + [ + "▁Ltd", + -10.767599105834961 + ], + [ + "▁recovery", + -10.76781940460205 + ], + [ + "▁district", + -10.768423080444336 + ], + [ + "78", + -10.768640518188477 + ], + [ + "▁Unter", + -10.76872730255127 + ], + [ + "▁schnell", + -10.768729209899902 + ], + [ + "▁apart", + -10.768943786621094 + ], + [ + "▁phase", + -10.76894760131836 + ], + [ + "▁seeking", + -10.769091606140137 + ], + [ + "▁mark", + -10.769148826599121 + ], + [ + "▁pet", + -10.769233703613281 + ], + [ + "▁PDF", + -10.769296646118164 + ], + [ + "▁efficiency", + -10.769577980041504 + ], + [ + "▁buildings", + -10.769611358642578 + ], + [ + "69", + -10.769723892211914 + ], + [ + "▁sens", + -10.769858360290527 + ], + [ + "▁Video", + -10.770115852355957 + ], + [ + "▁destination", + -10.770181655883789 + ], + [ + "▁female", + -10.770319938659668 + ], + [ + "▁supporting", + -10.770674705505371 + ], + [ + "▁signs", + -10.77077865600586 + ], + [ + "▁appeal", + -10.770784378051758 + ], + [ + "76", + -10.77110481262207 + ], + [ + "▁favourite", + -10.771612167358398 + ], + [ + "ock", + -10.771702766418457 + ], + [ + "▁readers", + -10.771757125854492 + ], + [ + "▁Did", + -10.771868705749512 + ], + [ + "rou", + -10.772045135498047 + ], + [ + "PA", + -10.77222728729248 + ], + [ + "▁Jean", + -10.772480964660645 + ], + [ + "▁Em", + -10.772586822509766 + ], + [ + "pass", + -10.77280330657959 + ], + [ + "▁Zi", + -10.773090362548828 + ], + [ + "▁între", + -10.773261070251465 + ], + [ + "▁fly", + -10.773427963256836 + ], + [ + "mos", + -10.773666381835938 + ], + [ + "▁emotional", + -10.773860931396484 + ], + [ + "asse", + -10.774768829345703 + ], + [ + "▁sessions", + -10.775086402893066 + ], + [ + "▁symptoms", + -10.77564811706543 + ], + [ + "▁died", + -10.776217460632324 + ], + [ + "▁seconds", + -10.776628494262695 + ], + [ + "▁procedure", + -10.777206420898438 + ], + [ + "▁express", + -10.777420997619629 + ], + [ + "▁două", + -10.777885437011719 + ], + [ + "▁valid", + -10.778393745422363 + ], + [ + "▁euro", + -10.7788667678833 + ], + [ + "▁interests", + -10.779032707214355 + ], + [ + "Having", + -10.779237747192383 + ], + [ + "▁hundreds", + -10.779669761657715 + ], + [ + "grad", + -10.780023574829102 + ], + [ + "▁neuen", + -10.780084609985352 + ], + [ + "▁cook", + -10.780552864074707 + ], + [ + "▁pur", + -10.780834197998047 + ], + [ + "▁charges", + -10.781024932861328 + ], + [ + "sche", + -10.78118896484375 + ], + [ + "▁smile", + -10.781468391418457 + ], + [ + "▁festival", + -10.781611442565918 + ], + [ + "cho", + -10.781672477722168 + ], + [ + "▁£", + -10.781937599182129 + ], + [ + "cht", + -10.78201675415039 + ], + [ + "▁macht", + -10.782021522521973 + ], + [ + "▁Wasser", + -10.782028198242188 + ], + [ + "▁Cap", + -10.78226375579834 + ], + [ + "▁Learn", + -10.78274154663086 + ], + [ + "▁load", + -10.783162117004395 + ], + [ + "▁aici", + -10.783225059509277 + ], + [ + "▁Ch", + -10.784143447875977 + ], + [ + "▁cycle", + -10.784223556518555 + ], + [ + "▁carried", + -10.784337997436523 + ], + [ + "▁jusqu", + -10.784517288208008 + ], + [ + "stein", + -10.78505802154541 + ], + [ + "ski", + -10.78513240814209 + ], + [ + "cap", + -10.78579330444336 + ], + [ + "▁Bal", + -10.785852432250977 + ], + [ + "▁minor", + -10.786053657531738 + ], + [ + "77", + -10.786175727844238 + ], + [ + "▁considering", + -10.78632640838623 + ], + [ + "innen", + -10.78644847869873 + ], + [ + "▁greatest", + -10.787055015563965 + ], + [ + "▁Training", + -10.787137031555176 + ], + [ + "08", + -10.787307739257812 + ], + [ + "▁significantly", + -10.787607192993164 + ], + [ + "gé", + -10.787728309631348 + ], + [ + "▁dumpster", + -10.788351058959961 + ], + [ + "▁allem", + -10.788930892944336 + ], + [ + "▁bonus", + -10.7889404296875 + ], + [ + "▁guy", + -10.789036750793457 + ], + [ + "fel", + -10.78904914855957 + ], + [ + "▁lifestyle", + -10.789241790771484 + ], + [ + "▁Bro", + -10.78961181640625 + ], + [ + "▁implement", + -10.789687156677246 + ], + [ + "lock", + -10.790046691894531 + ], + [ + "▁Earth", + -10.790142059326172 + ], + [ + "kar", + -10.790733337402344 + ], + [ + "▁invest", + -10.790833473205566 + ], + [ + "▁river", + -10.790933609008789 + ], + [ + "▁accurate", + -10.791494369506836 + ], + [ + "▁mu", + -10.791579246520996 + ], + [ + "▁celebrate", + -10.792119979858398 + ], + [ + "▁ran", + -10.79256820678711 + ], + [ + "▁bigger", + -10.792988777160645 + ], + [ + "▁Mer", + -10.793476104736328 + ], + [ + "▁millions", + -10.793486595153809 + ], + [ + "▁partie", + -10.793563842773438 + ], + [ + "▁dazu", + -10.793951988220215 + ], + [ + "▁Full", + -10.794130325317383 + ], + [ + "gie", + -10.794207572937012 + ], + [ + "bot", + -10.794373512268066 + ], + [ + "roll", + -10.79472827911377 + ], + [ + "▁Women", + -10.795303344726562 + ], + [ + "▁compare", + -10.796135902404785 + ], + [ + "▁van", + -10.796503067016602 + ], + [ + "▁apps", + -10.796521186828613 + ], + [ + "PC", + -10.797050476074219 + ], + [ + "▁drei", + -10.79736042022705 + ], + [ + "▁maison", + -10.797588348388672 + ], + [ + "▁knows", + -10.797712326049805 + ], + [ + "rid", + -10.797972679138184 + ], + [ + "62", + -10.798396110534668 + ], + [ + "class", + -10.798508644104004 + ], + [ + "▁chez", + -10.798669815063477 + ], + [ + "char", + -10.798828125 + ], + [ + "88", + -10.798989295959473 + ], + [ + "▁cast", + -10.79948902130127 + ], + [ + "▁examples", + -10.79973030090332 + ], + [ + "▁Therefore", + -10.799823760986328 + ], + [ + "▁topics", + -10.799941062927246 + ], + [ + "with", + -10.80013656616211 + ], + [ + "▁Anti", + -10.800555229187012 + ], + [ + "how", + -10.800620079040527 + ], + [ + "▁whom", + -10.80094051361084 + ], + [ + "▁Deutschland", + -10.801124572753906 + ], + [ + "tine", + -10.80113697052002 + ], + [ + "▁CEO", + -10.801224708557129 + ], + [ + "▁truck", + -10.801350593566895 + ], + [ + "▁Which", + -10.8015718460083 + ], + [ + "erie", + -10.802017211914062 + ], + [ + "fect", + -10.802069664001465 + ], + [ + "bou", + -10.8026762008667 + ], + [ + "▁(1", + -10.802818298339844 + ], + [ + "sum", + -10.802980422973633 + ], + [ + "▁bonne", + -10.803068161010742 + ], + [ + "▁remaining", + -10.80321216583252 + ], + [ + "▁equal", + -10.803543090820312 + ], + [ + "▁engage", + -10.803561210632324 + ], + [ + "▁RE", + -10.803849220275879 + ], + [ + "style", + -10.804182052612305 + ], + [ + "▁urma", + -10.804337501525879 + ], + [ + "▁Grund", + -10.80496883392334 + ], + [ + "ür", + -10.8051176071167 + ], + [ + "▁font", + -10.805353164672852 + ], + [ + "▁assets", + -10.805916786193848 + ], + [ + "AL", + -10.806102752685547 + ], + [ + "▁rear", + -10.80635929107666 + ], + [ + "▁contemporary", + -10.80646800994873 + ], + [ + "▁occur", + -10.8067045211792 + ], + [ + "rated", + -10.806941986083984 + ], + [ + "▁tight", + -10.807088851928711 + ], + [ + "▁machines", + -10.807921409606934 + ], + [ + "▁0.", + -10.808456420898438 + ], + [ + "▁Aber", + -10.808470726013184 + ], + [ + "sol", + -10.808517456054688 + ], + [ + "rü", + -10.80858039855957 + ], + [ + "▁2007", + -10.809479713439941 + ], + [ + "gg", + -10.809488296508789 + ], + [ + "▁unul", + -10.809691429138184 + ], + [ + "▁était", + -10.809908866882324 + ], + [ + "▁capture", + -10.809980392456055 + ], + [ + "▁command", + -10.810037612915039 + ], + [ + "▁wire", + -10.810425758361816 + ], + [ + "▁shift", + -10.810762405395508 + ], + [ + "▁bread", + -10.81084156036377 + ], + [ + "▁causes", + -10.810937881469727 + ], + [ + "PI", + -10.810938835144043 + ], + [ + "SC", + -10.811086654663086 + ], + [ + "▁lights", + -10.811190605163574 + ], + [ + "▁lived", + -10.811293601989746 + ], + [ + "mul", + -10.811446189880371 + ], + [ + "▁Cur", + -10.811917304992676 + ], + [ + "▁Richard", + -10.811973571777344 + ], + [ + "37", + -10.812638282775879 + ], + [ + "▁cup", + -10.812737464904785 + ], + [ + "▁fields", + -10.812983512878418 + ], + [ + "▁crusher", + -10.813389778137207 + ], + [ + "65", + -10.813774108886719 + ], + [ + "avons", + -10.813822746276855 + ], + [ + "▁gear", + -10.813835144042969 + ], + [ + "▁standing", + -10.813844680786133 + ], + [ + "▁thick", + -10.81445026397705 + ], + [ + "aff", + -10.815132141113281 + ], + [ + "ments", + -10.815434455871582 + ], + [ + "▁conflict", + -10.815728187561035 + ], + [ + "ität", + -10.815825462341309 + ], + [ + "▁worse", + -10.816295623779297 + ], + [ + "SE", + -10.816332817077637 + ], + [ + "imi", + -10.816459655761719 + ], + [ + "▁dating", + -10.817033767700195 + ], + [ + "Do", + -10.817073822021484 + ], + [ + "▁flexible", + -10.817093849182129 + ], + [ + "ologie", + -10.817131996154785 + ], + [ + "SU", + -10.817200660705566 + ], + [ + "▁contribute", + -10.817306518554688 + ], + [ + "▁denn", + -10.817428588867188 + ], + [ + "▁appointment", + -10.81746768951416 + ], + [ + "▁ticket", + -10.817523002624512 + ], + [ + "bed", + -10.817892074584961 + ], + [ + "▁2019.", + -10.817936897277832 + ], + [ + "▁tasks", + -10.81871223449707 + ], + [ + "▁carbon", + -10.818734169006348 + ], + [ + "▁situations", + -10.819400787353516 + ], + [ + "MA", + -10.819402694702148 + ], + [ + "▁portion", + -10.819498062133789 + ], + [ + "▁urban", + -10.819585800170898 + ], + [ + "▁Canadian", + -10.819805145263672 + ], + [ + "▁Bur", + -10.819937705993652 + ], + [ + "▁pack", + -10.81995964050293 + ], + [ + "▁effet", + -10.819992065429688 + ], + [ + "▁Ball", + -10.82008171081543 + ], + [ + "▁timpul", + -10.82014274597168 + ], + [ + "▁owned", + -10.820211410522461 + ], + [ + "▁surprise", + -10.820413589477539 + ], + [ + "▁Mu", + -10.820582389831543 + ], + [ + "▁decades", + -10.821001052856445 + ], + [ + "▁affected", + -10.821728706359863 + ], + [ + "▁proven", + -10.821732521057129 + ], + [ + "▁Fe", + -10.821990966796875 + ], + [ + "zy", + -10.822042465209961 + ], + [ + "42", + -10.822175979614258 + ], + [ + "▁trend", + -10.8223876953125 + ], + [ + "▁autres", + -10.82262897491455 + ], + [ + "No", + -10.823028564453125 + ], + [ + "▁nine", + -10.823565483093262 + ], + [ + "ON", + -10.82376480102539 + ], + [ + "NE", + -10.823953628540039 + ], + [ + "oli", + -10.824359893798828 + ], + [ + "▁Daniel", + -10.824434280395508 + ], + [ + "▁spa", + -10.824939727783203 + ], + [ + "▁messages", + -10.825084686279297 + ], + [ + "PS", + -10.825183868408203 + ], + [ + "47", + -10.825703620910645 + ], + [ + "▁doch", + -10.826032638549805 + ], + [ + "▁improvement", + -10.826187133789062 + ], + [ + "▁mountain", + -10.826350212097168 + ], + [ + "▁Room", + -10.826451301574707 + ], + [ + "▁edition", + -10.826546669006348 + ], + [ + "▁musical", + -10.826712608337402 + ], + [ + "CP", + -10.827024459838867 + ], + [ + "▁Mill", + -10.827027320861816 + ], + [ + "▁steht", + -10.827740669250488 + ], + [ + "▁determined", + -10.828083038330078 + ], + [ + "you", + -10.828392028808594 + ], + [ + "weg", + -10.828554153442383 + ], + [ + "▁Digital", + -10.828624725341797 + ], + [ + "▁filter", + -10.828903198242188 + ], + [ + "▁youth", + -10.829047203063965 + ], + [ + "▁assessment", + -10.829301834106445 + ], + [ + "▁butter", + -10.829370498657227 + ], + [ + "▁Watch", + -10.829427719116211 + ], + [ + "▁zusammen", + -10.829471588134766 + ], + [ + "▁View", + -10.829606056213379 + ], + [ + "09", + -10.829649925231934 + ], + [ + "▁sole", + -10.829816818237305 + ], + [ + ".00", + -10.830018997192383 + ], + [ + "33", + -10.83015251159668 + ], + [ + "▁export", + -10.830229759216309 + ], + [ + "ery", + -10.830373764038086 + ], + [ + "▁zurück", + -10.830426216125488 + ], + [ + "▁walls", + -10.83048152923584 + ], + [ + "▁recognize", + -10.8306884765625 + ], + [ + "law", + -10.830801963806152 + ], + [ + "▁parent", + -10.830863952636719 + ], + [ + "ST", + -10.831357955932617 + ], + [ + "▁description", + -10.831669807434082 + ], + [ + "MS", + -10.831887245178223 + ], + [ + "SM", + -10.83189582824707 + ], + [ + "▁Finally", + -10.831940650939941 + ], + [ + "▁hardware", + -10.831965446472168 + ], + [ + "ident", + -10.832464218139648 + ], + [ + "▁brown", + -10.832566261291504 + ], + [ + "▁kinds", + -10.832950592041016 + ], + [ + "▁Arts", + -10.83297061920166 + ], + [ + "▁concert", + -10.83341121673584 + ], + [ + "▁sec", + -10.83342456817627 + ], + [ + "▁represent", + -10.833512306213379 + ], + [ + "▁institutions", + -10.833597183227539 + ], + [ + "▁fur", + -10.833998680114746 + ], + [ + "▁Support", + -10.83403205871582 + ], + [ + "87", + -10.834076881408691 + ], + [ + "▁ease", + -10.834178924560547 + ], + [ + "▁feels", + -10.834218978881836 + ], + [ + "▁sheet", + -10.834342002868652 + ], + [ + "▁Though", + -10.83437442779541 + ], + [ + "▁propose", + -10.834381103515625 + ], + [ + "▁personnel", + -10.834409713745117 + ], + [ + "bie", + -10.834794044494629 + ], + [ + "▁contest", + -10.834836959838867 + ], + [ + "▁successfully", + -10.835152626037598 + ], + [ + "▁direkt", + -10.835397720336914 + ], + [ + "bietet", + -10.835597038269043 + ], + [ + "▁submit", + -10.835888862609863 + ], + [ + "▁sicher", + -10.835919380187988 + ], + [ + "▁Personal", + -10.83607006072998 + ], + [ + "94", + -10.836341857910156 + ], + [ + "61", + -10.836400985717773 + ], + [ + "▁Very", + -10.836540222167969 + ], + [ + "bol", + -10.836603164672852 + ], + [ + "▁ha", + -10.837089538574219 + ], + [ + "▁channel", + -10.8372220993042 + ], + [ + "mut", + -10.837289810180664 + ], + [ + "▁mouth", + -10.837342262268066 + ], + [ + "▁vast", + -10.837395668029785 + ], + [ + "▁Ob", + -10.837569236755371 + ], + [ + "lit", + -10.83763313293457 + ], + [ + "▁poly", + -10.837878227233887 + ], + [ + "▁trained", + -10.838102340698242 + ], + [ + "▁specialist", + -10.838122367858887 + ], + [ + "UL", + -10.83822250366211 + ], + [ + "▁seiner", + -10.838336944580078 + ], + [ + "SS", + -10.838627815246582 + ], + [ + "▁vacation", + -10.838672637939453 + ], + [ + "▁resume", + -10.839157104492188 + ], + [ + "▁constantly", + -10.839717864990234 + ], + [ + "▁treated", + -10.83986759185791 + ], + [ + "▁150", + -10.840936660766602 + ], + [ + "▁native", + -10.841246604919434 + ], + [ + "▁Russian", + -10.841329574584961 + ], + [ + "▁patterns", + -10.841371536254883 + ], + [ + "▁knowing", + -10.841670989990234 + ], + [ + "▁Pan", + -10.841682434082031 + ], + [ + "peri", + -10.841848373413086 + ], + [ + "aci", + -10.841864585876465 + ], + [ + "▁answers", + -10.842114448547363 + ], + [ + "▁heute", + -10.842985153198242 + ], + [ + "93", + -10.843056678771973 + ], + [ + "▁Winter", + -10.844083786010742 + ], + [ + "▁yes", + -10.844173431396484 + ], + [ + "SP", + -10.844185829162598 + ], + [ + "].", + -10.844388008117676 + ], + [ + "▁kein", + -10.844862937927246 + ], + [ + "▁introduce", + -10.8450927734375 + ], + [ + "-4", + -10.84555435180664 + ], + [ + "▁shoot", + -10.845762252807617 + ], + [ + "AR", + -10.84576416015625 + ], + [ + "▁receiving", + -10.845864295959473 + ], + [ + "▁intre", + -10.84702205657959 + ], + [ + "▁appeared", + -10.84708023071289 + ], + [ + "▁brother", + -10.847321510314941 + ], + [ + "▁extend", + -10.847765922546387 + ], + [ + "▁fara", + -10.848737716674805 + ], + [ + "▁kommt", + -10.848876953125 + ], + [ + "ali", + -10.848913192749023 + ], + [ + "▁numai", + -10.849047660827637 + ], + [ + "▁scientific", + -10.84913158416748 + ], + [ + "▁virtual", + -10.849145889282227 + ], + [ + "▁Ac", + -10.849513053894043 + ], + [ + "▁procedures", + -10.849631309509277 + ], + [ + "▁silver", + -10.849821090698242 + ], + [ + "▁leather", + -10.849979400634766 + ], + [ + "DA", + -10.85014820098877 + ], + [ + "▁executive", + -10.850263595581055 + ], + [ + "▁officials", + -10.850496292114258 + ], + [ + "▁agencies", + -10.850503921508789 + ], + [ + "▁Software", + -10.850540161132812 + ], + [ + "▁cor", + -10.850690841674805 + ], + [ + "Con", + -10.850741386413574 + ], + [ + "▁log", + -10.851066589355469 + ], + [ + "ț", + -10.851147651672363 + ], + [ + "02", + -10.851195335388184 + ], + [ + "▁7.", + -10.85245132446289 + ], + [ + "▁accepted", + -10.852483749389648 + ], + [ + "▁Berlin", + -10.852538108825684 + ], + [ + "ID", + -10.852582931518555 + ], + [ + "cot", + -10.852788925170898 + ], + [ + "▁employment", + -10.852799415588379 + ], + [ + "run", + -10.853020668029785 + ], + [ + "▁identified", + -10.853178977966309 + ], + [ + "96", + -10.853887557983398 + ], + [ + "▁déjà", + -10.853944778442383 + ], + [ + "▁cuisine", + -10.853952407836914 + ], + [ + "turi", + -10.854070663452148 + ], + [ + "▁Japanese", + -10.854316711425781 + ], + [ + "▁golf", + -10.854514122009277 + ], + [ + "▁Ki", + -10.854787826538086 + ], + [ + "▁carefully", + -10.854863166809082 + ], + [ + "▁remote", + -10.854973793029785 + ], + [ + "▁2018,", + -10.855148315429688 + ], + [ + "▁sus", + -10.855154991149902 + ], + [ + "tique", + -10.855293273925781 + ], + [ + "▁residential", + -10.855695724487305 + ], + [ + "97", + -10.855809211730957 + ], + [ + "▁Spring", + -10.855908393859863 + ], + [ + "▁Marketing", + -10.856186866760254 + ], + [ + "▁Control", + -10.85630989074707 + ], + [ + "var", + -10.856344223022461 + ], + [ + "▁historical", + -10.8563814163208 + ], + [ + "▁freedom", + -10.856423377990723 + ], + [ + "sure", + -10.856426239013672 + ], + [ + "▁broken", + -10.856796264648438 + ], + [ + "▁criminal", + -10.856949806213379 + ], + [ + "▁innovation", + -10.857075691223145 + ], + [ + "▁Italian", + -10.857192039489746 + ], + [ + "sper", + -10.857282638549805 + ], + [ + "▁cake", + -10.857653617858887 + ], + [ + "▁candidates", + -10.857894897460938 + ], + [ + "▁sizes", + -10.858267784118652 + ], + [ + "pel", + -10.858366966247559 + ], + [ + "▁frequently", + -10.85889720916748 + ], + [ + "▁planet", + -10.859138488769531 + ], + [ + "▁writer", + -10.859519958496094 + ], + [ + "1,", + -10.859569549560547 + ], + [ + "uvent", + -10.85959529876709 + ], + [ + "▁awareness", + -10.859807968139648 + ], + [ + "name", + -10.859954833984375 + ], + [ + "▁Children", + -10.859980583190918 + ], + [ + "▁relatively", + -10.860311508178711 + ], + [ + "▁pu", + -10.860321998596191 + ], + [ + "▁quiet", + -10.86038875579834 + ], + [ + "▁planned", + -10.860716819763184 + ], + [ + "▁election", + -10.861419677734375 + ], + [ + "▁6.", + -10.861761093139648 + ], + [ + "▁broad", + -10.861772537231445 + ], + [ + "▁skill", + -10.861835479736328 + ], + [ + "▁reasonable", + -10.862037658691406 + ], + [ + "▁Fort", + -10.862283706665039 + ], + [ + "▁aceea", + -10.862407684326172 + ], + [ + "▁arrived", + -10.86263370513916 + ], + [ + "▁payments", + -10.862680435180664 + ], + [ + "ack", + -10.862700462341309 + ], + [ + "▁Ort", + -10.863354682922363 + ], + [ + "▁investors", + -10.863364219665527 + ], + [ + "▁operate", + -10.86351203918457 + ], + [ + "ME", + -10.863556861877441 + ], + [ + "dic", + -10.863683700561523 + ], + [ + "▁foods", + -10.863731384277344 + ], + [ + "▁stick", + -10.863831520080566 + ], + [ + "▁agents", + -10.86412525177002 + ], + [ + "▁crowd", + -10.864175796508789 + ], + [ + "▁Students", + -10.864480972290039 + ], + [ + "▁concerned", + -10.864609718322754 + ], + [ + "test", + -10.864740371704102 + ], + [ + "▁designer", + -10.865334510803223 + ], + [ + "▁Conference", + -10.865593910217285 + ], + [ + "▁saving", + -10.866105079650879 + ], + [ + "▁recorded", + -10.866422653198242 + ], + [ + "▁proposed", + -10.866564750671387 + ], + [ + "▁ship", + -10.86657428741455 + ], + [ + "▁cred", + -10.867274284362793 + ], + [ + "▁Ci", + -10.867440223693848 + ], + [ + "RE", + -10.867619514465332 + ], + [ + "▁tradition", + -10.867753982543945 + ], + [ + "▁worldwide", + -10.867779731750488 + ], + [ + "64", + -10.867944717407227 + ], + [ + "▁television", + -10.867989540100098 + ], + [ + "▁projet", + -10.868102073669434 + ], + [ + "ency", + -10.868487358093262 + ], + [ + "▁struggle", + -10.868514060974121 + ], + [ + "▁twice", + -10.868955612182617 + ], + [ + "▁Off", + -10.869234085083008 + ], + [ + "▁begins", + -10.869577407836914 + ], + [ + "key", + -10.869794845581055 + ], + [ + "▁Table", + -10.869963645935059 + ], + [ + "▁demande", + -10.870177268981934 + ], + [ + "▁liquid", + -10.870441436767578 + ], + [ + "meter", + -10.870684623718262 + ], + [ + "▁2001", + -10.871190071105957 + ], + [ + "▁willing", + -10.871660232543945 + ], + [ + "▁medicine", + -10.871707916259766 + ], + [ + "▁expand", + -10.871747970581055 + ], + [ + "▁2004", + -10.871804237365723 + ], + [ + "▁2002", + -10.872016906738281 + ], + [ + "▁accord", + -10.872292518615723 + ], + [ + "▁Chris", + -10.872446060180664 + ], + [ + "▁prove", + -10.872543334960938 + ], + [ + "ston", + -10.872740745544434 + ], + [ + "mettre", + -10.872800827026367 + ], + [ + "▁moments", + -10.873537063598633 + ], + [ + "tik", + -10.87368392944336 + ], + [ + "such", + -10.874055862426758 + ], + [ + "2.", + -10.874431610107422 + ], + [ + "▁UN", + -10.874561309814453 + ], + [ + "▁jump", + -10.874737739562988 + ], + [ + "▁dish", + -10.87539291381836 + ], + [ + "▁Key", + -10.875663757324219 + ], + [ + "▁challenging", + -10.875975608825684 + ], + [ + "▁domestic", + -10.876410484313965 + ], + [ + "▁impressive", + -10.876752853393555 + ], + [ + "iger", + -10.877022743225098 + ], + [ + "▁Ram", + -10.877157211303711 + ], + [ + "▁doit", + -10.877263069152832 + ], + [ + "▁concrete", + -10.87734317779541 + ], + [ + "▁Unternehmen", + -10.877397537231445 + ], + [ + "▁LED", + -10.877429008483887 + ], + [ + "▁trouver", + -10.877533912658691 + ], + [ + "▁fundamental", + -10.877875328063965 + ], + [ + "▁implementation", + -10.878121376037598 + ], + [ + "85", + -10.878247261047363 + ], + [ + "▁hosting", + -10.87856388092041 + ], + [ + "▁Game", + -10.878691673278809 + ], + [ + "▁taught", + -10.878981590270996 + ], + [ + "tung", + -10.879016876220703 + ], + [ + "ront", + -10.87940502166748 + ], + [ + "▁shoes", + -10.879639625549316 + ], + [ + "79", + -10.8797607421875 + ], + [ + "▁stunning", + -10.879778861999512 + ], + [ + "▁Congress", + -10.880142211914062 + ], + [ + "▁Ent", + -10.880278587341309 + ], + [ + "▁Wer", + -10.880607604980469 + ], + [ + "▁alt", + -10.880608558654785 + ], + [ + "ör", + -10.880699157714844 + ], + [ + "▁calm", + -10.8808012008667 + ], + [ + "46", + -10.881132125854492 + ], + [ + "▁Daca", + -10.881404876708984 + ], + [ + "71", + -10.881938934326172 + ], + [ + "▁Dec", + -10.882392883300781 + ], + [ + "▁Fo", + -10.882437705993652 + ], + [ + "▁defense", + -10.88313102722168 + ], + [ + "▁expectations", + -10.883166313171387 + ], + [ + "▁Alle", + -10.88318920135498 + ], + [ + "▁brief", + -10.883691787719727 + ], + [ + "▁Hospital", + -10.883975982666016 + ], + [ + "▁sides", + -10.884121894836426 + ], + [ + "▁yellow", + -10.884140014648438 + ], + [ + "lei", + -10.88451862335205 + ], + [ + "▁speaking", + -10.884589195251465 + ], + [ + "▁crucial", + -10.885198593139648 + ], + [ + "▁Town", + -10.8854341506958 + ], + [ + "▁married", + -10.885574340820312 + ], + [ + "▁acesta", + -10.885583877563477 + ], + [ + "▁noted", + -10.885611534118652 + ], + [ + "▁Word", + -10.885659217834473 + ], + [ + "▁conducted", + -10.885963439941406 + ], + [ + "▁decor", + -10.886249542236328 + ], + [ + "kon", + -10.886565208435059 + ], + [ + "▁supplies", + -10.8866605758667 + ], + [ + "▁adventure", + -10.886691093444824 + ], + [ + "▁exhibition", + -10.887163162231445 + ], + [ + "heit", + -10.887300491333008 + ], + [ + "▁36", + -10.88744831085205 + ], + [ + "eria", + -10.887505531311035 + ], + [ + "ines", + -10.887551307678223 + ], + [ + "ological", + -10.887582778930664 + ], + [ + "quel", + -10.88806438446045 + ], + [ + "▁Van", + -10.88825511932373 + ], + [ + "-19", + -10.88853645324707 + ], + [ + "2,", + -10.888566970825195 + ], + [ + "▁Band", + -10.888989448547363 + ], + [ + "▁soil", + -10.889184951782227 + ], + [ + "▁Tim", + -10.889599800109863 + ], + [ + "▁NOT", + -10.88968563079834 + ], + [ + "▁pilot", + -10.889753341674805 + ], + [ + "▁Sh", + -10.889774322509766 + ], + [ + "Ho", + -10.890361785888672 + ], + [ + "CA", + -10.890509605407715 + ], + [ + "▁Eu", + -10.890745162963867 + ], + [ + "▁committee", + -10.890829086303711 + ], + [ + "▁Store", + -10.891075134277344 + ], + [ + "▁joint", + -10.89111614227295 + ], + [ + "▁Op", + -10.891315460205078 + ], + [ + "▁Jack", + -10.891985893249512 + ], + [ + "quality", + -10.89216423034668 + ], + [ + "▁Has", + -10.892489433288574 + ], + [ + "▁wenig", + -10.892507553100586 + ], + [ + "hood", + -10.892545700073242 + ], + [ + "▁Class", + -10.892582893371582 + ], + [ + "rus", + -10.892773628234863 + ], + [ + "▁grown", + -10.89294719696045 + ], + [ + "▁About", + -10.893518447875977 + ], + [ + "▁sum", + -10.893942832946777 + ], + [ + "▁Fair", + -10.893946647644043 + ], + [ + "SA", + -10.894149780273438 + ], + [ + "92", + -10.894185066223145 + ], + [ + "▁fourth", + -10.894354820251465 + ], + [ + "▁featured", + -10.894384384155273 + ], + [ + "▁Pen", + -10.89444637298584 + ], + [ + "▁natürlich", + -10.894885063171387 + ], + [ + "ched", + -10.894901275634766 + ], + [ + "▁ban", + -10.895112991333008 + ], + [ + "anne", + -10.89522647857666 + ], + [ + "▁theory", + -10.895413398742676 + ], + [ + "bin", + -10.895438194274902 + ], + [ + "iers", + -10.895819664001465 + ], + [ + "▁strategic", + -10.895903587341309 + ], + [ + "▁jours", + -10.895956039428711 + ], + [ + "▁communicate", + -10.896124839782715 + ], + [ + "▁pin", + -10.896320343017578 + ], + [ + "▁Bon", + -10.89721393585205 + ], + [ + "kom", + -10.897290229797363 + ], + [ + "-5", + -10.898177146911621 + ], + [ + "▁degrees", + -10.898643493652344 + ], + [ + "▁entertainment", + -10.899014472961426 + ], + [ + "ară", + -10.899248123168945 + ], + [ + "ales", + -10.899425506591797 + ], + [ + "▁pendant", + -10.89954662322998 + ], + [ + "▁Series", + -10.899575233459473 + ], + [ + "▁holds", + -10.899592399597168 + ], + [ + "▁Mini", + -10.899828910827637 + ], + [ + "▁Obama", + -10.899898529052734 + ], + [ + "▁conform", + -10.900163650512695 + ], + [ + "-10", + -10.900216102600098 + ], + [ + "▁preparation", + -10.9009370803833 + ], + [ + "▁autre", + -10.90105152130127 + ], + [ + "▁mortgage", + -10.901155471801758 + ], + [ + "▁Kan", + -10.901508331298828 + ], + [ + "▁typical", + -10.901538848876953 + ], + [ + "01", + -10.901711463928223 + ], + [ + "▁Review", + -10.901862144470215 + ], + [ + "▁laptop", + -10.902127265930176 + ], + [ + "CR", + -10.902610778808594 + ], + [ + "▁thread", + -10.90265941619873 + ], + [ + "BS", + -10.902661323547363 + ], + [ + "▁upper", + -10.902700424194336 + ], + [ + "▁searching", + -10.902932167053223 + ], + [ + "▁pen", + -10.903214454650879 + ], + [ + "▁Middle", + -10.90333080291748 + ], + [ + "73", + -10.903359413146973 + ], + [ + "▁leg", + -10.903650283813477 + ], + [ + "onic", + -10.904272079467773 + ], + [ + "IS", + -10.904356956481934 + ], + [ + "▁Kar", + -10.904623985290527 + ], + [ + "anz", + -10.9046630859375 + ], + [ + "▁circuit", + -10.904901504516602 + ], + [ + "▁Casino", + -10.905384063720703 + ], + [ + "07", + -10.90584659576416 + ], + [ + "▁petit", + -10.905906677246094 + ], + [ + "TV", + -10.905978202819824 + ], + [ + "level", + -10.906311988830566 + ], + [ + "▁Point", + -10.906312942504883 + ], + [ + "rau", + -10.906474113464355 + ], + [ + "▁cabinet", + -10.906991958618164 + ], + [ + "▁failed", + -10.907042503356934 + ], + [ + "▁stated", + -10.907126426696777 + ], + [ + "LA", + -10.907461166381836 + ], + [ + "▁privacy", + -10.907596588134766 + ], + [ + "vol", + -10.907901763916016 + ], + [ + "ativ", + -10.908151626586914 + ], + [ + "▁matters", + -10.908210754394531 + ], + [ + "▁Mor", + -10.908555030822754 + ], + [ + "▁Ur", + -10.90860652923584 + ], + [ + "view", + -10.908968925476074 + ], + [ + "▁consultation", + -10.90921688079834 + ], + [ + "TS", + -10.909296989440918 + ], + [ + "▁apartment", + -10.909412384033203 + ], + [ + "▁integrated", + -10.909425735473633 + ], + [ + "74", + -10.909669876098633 + ], + [ + "▁Through", + -10.909710884094238 + ], + [ + "▁kick", + -10.909798622131348 + ], + [ + "▁perioada", + -10.90993881225586 + ], + [ + "▁entirely", + -10.909953117370605 + ], + [ + "▁impossible", + -10.91015911102295 + ], + [ + "▁consideration", + -10.910268783569336 + ], + [ + "▁Alt", + -10.91054916381836 + ], + [ + "▁Come", + -10.911089897155762 + ], + [ + "▁outstanding", + -10.911276817321777 + ], + [ + "83", + -10.911727905273438 + ], + [ + "▁prezent", + -10.911859512329102 + ], + [ + "▁Local", + -10.911993980407715 + ], + [ + "▁Camp", + -10.912056922912598 + ], + [ + "▁bear", + -10.912067413330078 + ], + [ + "enden", + -10.912262916564941 + ], + [ + "life", + -10.91236686706543 + ], + [ + "▁Haus", + -10.912516593933105 + ], + [ + "▁William", + -10.912644386291504 + ], + [ + "“,", + -10.912665367126465 + ], + [ + "▁Instagram", + -10.91285514831543 + ], + [ + "▁solve", + -10.913195610046387 + ], + [ + "▁Ze", + -10.913431167602539 + ], + [ + "▁everyday", + -10.91357135772705 + ], + [ + "bla", + -10.913615226745605 + ], + [ + "eng", + -10.913662910461426 + ], + [ + "ough", + -10.914246559143066 + ], + [ + "84", + -10.914483070373535 + ], + [ + "?\"", + -10.914599418640137 + ], + [ + "rely", + -10.91476821899414 + ], + [ + "TH", + -10.914841651916504 + ], + [ + "lang", + -10.91511058807373 + ], + [ + "82", + -10.915817260742188 + ], + [ + "▁removal", + -10.91589641571045 + ], + [ + "ală", + -10.915956497192383 + ], + [ + "▁circumstances", + -10.916097640991211 + ], + [ + "ente", + -10.91622257232666 + ], + [ + "▁lieu", + -10.91645336151123 + ], + [ + "▁2016.", + -10.91710376739502 + ], + [ + "▁ales", + -10.917342185974121 + ], + [ + "▁pure", + -10.917482376098633 + ], + [ + "▁choosing", + -10.917590141296387 + ], + [ + "▁Russia", + -10.917698860168457 + ], + [ + "amp", + -10.917703628540039 + ], + [ + "▁Santa", + -10.91788387298584 + ], + [ + "▁happening", + -10.918203353881836 + ], + [ + "▁crew", + -10.91822338104248 + ], + [ + "▁lei", + -10.91855239868164 + ], + [ + "IP", + -10.91858196258545 + ], + [ + "RO", + -10.919425964355469 + ], + [ + "▁resort", + -10.919514656066895 + ], + [ + "ened", + -10.919689178466797 + ], + [ + "MB", + -10.920031547546387 + ], + [ + "▁styles", + -10.920052528381348 + ], + [ + "▁dernier", + -10.920533180236816 + ], + [ + "uck", + -10.920699119567871 + ], + [ + "▁Guide", + -10.920710563659668 + ], + [ + "fic", + -10.92096996307373 + ], + [ + "▁fitness", + -10.921977996826172 + ], + [ + "▁healthcare", + -10.92223072052002 + ], + [ + "mol", + -10.92237663269043 + ], + [ + "▁vis", + -10.922721862792969 + ], + [ + "▁atmosphere", + -10.922972679138184 + ], + [ + "▁motion", + -10.922989845275879 + ], + [ + "▁closer", + -10.923114776611328 + ], + [ + "▁SA", + -10.92335319519043 + ], + [ + "▁default", + -10.923371315002441 + ], + [ + "▁architecture", + -10.923471450805664 + ], + [ + "iile", + -10.923528671264648 + ], + [ + "zel", + -10.923675537109375 + ], + [ + "cla", + -10.92387866973877 + ], + [ + "OP", + -10.924382209777832 + ], + [ + "▁west", + -10.924965858459473 + ], + [ + "▁Energy", + -10.925613403320312 + ], + [ + "▁positions", + -10.925777435302734 + ], + [ + "▁contrast", + -10.925885200500488 + ], + [ + "▁serves", + -10.92605972290039 + ], + [ + "cup", + -10.926340103149414 + ], + [ + "▁rose", + -10.926485061645508 + ], + [ + "pers", + -10.92664623260498 + ], + [ + "▁noise", + -10.926846504211426 + ], + [ + "mont", + -10.92690658569336 + ], + [ + "#", + -10.927061080932617 + ], + [ + "lies", + -10.927326202392578 + ], + [ + "pat", + -10.927718162536621 + ], + [ + "IC", + -10.927956581115723 + ], + [ + "arc", + -10.927989959716797 + ], + [ + "▁winner", + -10.928524017333984 + ], + [ + "tent", + -10.928732872009277 + ], + [ + "▁Preis", + -10.929106712341309 + ], + [ + "▁vin", + -10.929254531860352 + ], + [ + "blo", + -10.92929458618164 + ], + [ + "ție", + -10.929520606994629 + ], + [ + "▁OR", + -10.930315017700195 + ], + [ + "▁Buch", + -10.930798530578613 + ], + [ + "▁nearby", + -10.931190490722656 + ], + [ + "▁meetings", + -10.931290626525879 + ], + [ + "▁48", + -10.931465148925781 + ], + [ + "▁quand", + -10.93152904510498 + ], + [ + "▁usual", + -10.931936264038086 + ], + [ + "▁weitere", + -10.932539939880371 + ], + [ + "▁caught", + -10.932571411132812 + ], + [ + "▁issued", + -10.932626724243164 + ], + [ + "ști", + -10.932896614074707 + ], + [ + "upcoming", + -10.933232307434082 + ], + [ + "▁agreed", + -10.933233261108398 + ], + [ + "place", + -10.933353424072266 + ], + [ + "▁Brand", + -10.93344497680664 + ], + [ + "▁relation", + -10.933969497680664 + ], + [ + "▁atât", + -10.934090614318848 + ], + [ + "▁Tre", + -10.934176445007324 + ], + [ + "▁lors", + -10.934438705444336 + ], + [ + "▁adopt", + -10.934452056884766 + ], + [ + "▁celui", + -10.93458366394043 + ], + [ + "cken", + -10.93505859375 + ], + [ + "▁partnership", + -10.935284614562988 + ], + [ + "?”", + -10.935376167297363 + ], + [ + "▁ba", + -10.935746192932129 + ], + [ + "▁ID", + -10.935832023620605 + ], + [ + "▁consistent", + -10.935835838317871 + ], + [ + "▁Ya", + -10.935941696166992 + ], + [ + "▁Academy", + -10.936182022094727 + ], + [ + "cial", + -10.936230659484863 + ], + [ + "1%", + -10.936366081237793 + ], + [ + "▁mise", + -10.936684608459473 + ], + [ + "▁gute", + -10.936728477478027 + ], + [ + "gli", + -10.936939239501953 + ], + [ + "▁Bu", + -10.937679290771484 + ], + [ + "▁reduction", + -10.937917709350586 + ], + [ + "acy", + -10.938126564025879 + ], + [ + "aga", + -10.938161849975586 + ], + [ + "▁Sc", + -10.938273429870605 + ], + [ + "▁Informationen", + -10.938308715820312 + ], + [ + "▁kommen", + -10.938352584838867 + ], + [ + "press", + -10.93837833404541 + ], + [ + "▁bridge", + -10.938379287719727 + ], + [ + "▁qualified", + -10.938671112060547 + ], + [ + "position", + -10.938821792602539 + ], + [ + "▁combat", + -10.938933372497559 + ], + [ + "!\"", + -10.938993453979492 + ], + [ + "eva", + -10.939217567443848 + ], + [ + "oase", + -10.939380645751953 + ], + [ + "▁inner", + -10.939410209655762 + ], + [ + "▁loans", + -10.939720153808594 + ], + [ + "made", + -10.939786911010742 + ], + [ + "▁Mexico", + -10.93993091583252 + ], + [ + "▁formal", + -10.940092086791992 + ], + [ + "▁fell", + -10.94021987915039 + ], + [ + "91", + -10.940524101257324 + ], + [ + "▁campus", + -10.9407320022583 + ], + [ + "ienne", + -10.940869331359863 + ], + [ + "▁framework", + -10.94105339050293 + ], + [ + "ncing", + -10.941157341003418 + ], + [ + "▁Para", + -10.941222190856934 + ], + [ + "▁password", + -10.941298484802246 + ], + [ + "▁sei", + -10.941422462463379 + ], + [ + "▁Cross", + -10.941532135009766 + ], + [ + "▁Ten", + -10.941873550415039 + ], + [ + "bank", + -10.941887855529785 + ], + [ + "▁gun", + -10.942000389099121 + ], + [ + "ient", + -10.942021369934082 + ], + [ + "▁usage", + -10.942176818847656 + ], + [ + "▁(2", + -10.942278861999512 + ], + [ + "Gra", + -10.942320823669434 + ], + [ + "▁prea", + -10.94253158569336 + ], + [ + "▁Als", + -10.942619323730469 + ], + [ + "▁finance", + -10.942638397216797 + ], + [ + "tate", + -10.942665100097656 + ], + [ + "ition", + -10.942703247070312 + ], + [ + "▁regulations", + -10.942741394042969 + ], + [ + "▁Professional", + -10.943001747131348 + ], + [ + "▁pl", + -10.94336986541748 + ], + [ + "▁SEO", + -10.943472862243652 + ], + [ + "▁trecut", + -10.943487167358398 + ], + [ + "▁aller", + -10.943509101867676 + ], + [ + "▁violence", + -10.943986892700195 + ], + [ + "▁membership", + -10.944117546081543 + ], + [ + "▁picked", + -10.944162368774414 + ], + [ + "▁collected", + -10.9443359375 + ], + [ + "▁extended", + -10.944449424743652 + ], + [ + "▁religious", + -10.944661140441895 + ], + [ + "▁salle", + -10.944767951965332 + ], + [ + "RA", + -10.944781303405762 + ], + [ + "▁blend", + -10.945232391357422 + ], + [ + "▁Min", + -10.94532299041748 + ], + [ + "kal", + -10.945887565612793 + ], + [ + "▁featuring", + -10.945902824401855 + ], + [ + "▁researchers", + -10.946263313293457 + ], + [ + "▁Search", + -10.946558952331543 + ], + [ + "CE", + -10.946675300598145 + ], + [ + "▁recognized", + -10.94682502746582 + ], + [ + "▁semi", + -10.94692611694336 + ], + [ + "▁exposure", + -10.94718074798584 + ], + [ + "grew", + -10.947466850280762 + ], + [ + "▁candidate", + -10.948250770568848 + ], + [ + "▁shares", + -10.948908805847168 + ], + [ + "▁edit", + -10.949745178222656 + ], + [ + "CS", + -10.949905395507812 + ], + [ + "▁Cl", + -10.950240135192871 + ], + [ + "▁Enjoy", + -10.951438903808594 + ], + [ + "▁hurt", + -10.951482772827148 + ], + [ + "▁bottle", + -10.951593399047852 + ], + [ + "▁Buy", + -10.95159912109375 + ], + [ + "▁superior", + -10.952286720275879 + ], + [ + "▁missed", + -10.952424049377441 + ], + [ + "▁workshop", + -10.952433586120605 + ], + [ + "action", + -10.952437400817871 + ], + [ + "ple", + -10.952699661254883 + ], + [ + "▁Schul", + -10.952814102172852 + ], + [ + "▁houses", + -10.953080177307129 + ], + [ + "▁2017,", + -10.953569412231445 + ], + [ + "▁killed", + -10.953750610351562 + ], + [ + "▁calendar", + -10.954306602478027 + ], + [ + "▁Mike", + -10.954597473144531 + ], + [ + "FA", + -10.954627990722656 + ], + [ + "nut", + -10.95487117767334 + ], + [ + "▁establish", + -10.955140113830566 + ], + [ + "▁alcohol", + -10.95514965057373 + ], + [ + "▁closely", + -10.955170631408691 + ], + [ + "▁MA", + -10.955381393432617 + ], + [ + "pul", + -10.955389022827148 + ], + [ + "▁defined", + -10.955666542053223 + ], + [ + "aires", + -10.955692291259766 + ], + [ + "▁Shi", + -10.955703735351562 + ], + [ + "▁plays", + -10.956303596496582 + ], + [ + "▁sister", + -10.95690631866455 + ], + [ + "▁cable", + -10.957179069519043 + ], + [ + "▁desk", + -10.957215309143066 + ], + [ + "▁apoi", + -10.957738876342773 + ], + [ + "▁identity", + -10.95785140991211 + ], + [ + "▁stars", + -10.957931518554688 + ], + [ + "▁fata", + -10.958008766174316 + ], + [ + "▁obvious", + -10.958330154418945 + ], + [ + "▁dental", + -10.95843505859375 + ], + [ + "AM", + -10.958802223205566 + ], + [ + "▁sharp", + -10.95881175994873 + ], + [ + "duc", + -10.959053993225098 + ], + [ + "▁manufacturer", + -10.95914077758789 + ], + [ + "!)", + -10.959270477294922 + ], + [ + "▁objects", + -10.959720611572266 + ], + [ + "▁Ag", + -10.959989547729492 + ], + [ + "referred", + -10.960195541381836 + ], + [ + "▁Ak", + -10.960308074951172 + ], + [ + "burg", + -10.960360527038574 + ], + [ + "▁nouveau", + -10.960854530334473 + ], + [ + "▁Pal", + -10.960994720458984 + ], + [ + "▁Arbeits", + -10.961280822753906 + ], + [ + "▁personally", + -10.961288452148438 + ], + [ + "▁Dé", + -10.961292266845703 + ], + [ + "▁import", + -10.961688041687012 + ], + [ + "▁justice", + -10.961913108825684 + ], + [ + "▁photography", + -10.962705612182617 + ], + [ + "▁portfolio", + -10.962841987609863 + ], + [ + "56", + -10.96314525604248 + ], + [ + "▁nouvelle", + -10.963293075561523 + ], + [ + "▁oven", + -10.964197158813477 + ], + [ + "▁400", + -10.964272499084473 + ], + [ + "▁mixed", + -10.964395523071289 + ], + [ + "▁relax", + -10.964427947998047 + ], + [ + "▁imp", + -10.964703559875488 + ], + [ + "▁».", + -10.964734077453613 + ], + [ + "▁mail", + -10.964777946472168 + ], + [ + "rage", + -10.964861869812012 + ], + [ + "nos", + -10.964974403381348 + ], + [ + "▁drugs", + -10.965195655822754 + ], + [ + "▁jede", + -10.965211868286133 + ], + [ + "▁einige", + -10.965232849121094 + ], + [ + "▁8.", + -10.965325355529785 + ], + [ + "ters", + -10.965412139892578 + ], + [ + "▁electrical", + -10.965432167053223 + ], + [ + "▁puis", + -10.965836524963379 + ], + [ + "▁films", + -10.965903282165527 + ], + [ + "41", + -10.966036796569824 + ], + [ + "▁moral", + -10.966398239135742 + ], + [ + "lage", + -10.966402053833008 + ], + [ + "▁spaces", + -10.966415405273438 + ], + [ + "▁Ed", + -10.966462135314941 + ], + [ + "▁classroom", + -10.966588020324707 + ], + [ + "▁große", + -10.966588973999023 + ], + [ + "▁baza", + -10.966887474060059 + ], + [ + "face", + -10.967308044433594 + ], + [ + "▁informed", + -10.967333793640137 + ], + [ + "▁improving", + -10.967477798461914 + ], + [ + "▁guidance", + -10.967880249023438 + ], + [ + "▁gallery", + -10.96800708770752 + ], + [ + "cular", + -10.968046188354492 + ], + [ + "53", + -10.968094825744629 + ], + [ + "Despite", + -10.968238830566406 + ], + [ + "▁forme", + -10.968304634094238 + ], + [ + "▁système", + -10.968415260314941 + ], + [ + "▁Win", + -10.968494415283203 + ], + [ + "▁Small", + -10.968537330627441 + ], + [ + "▁Mobile", + -10.968564987182617 + ], + [ + "▁tape", + -10.968606948852539 + ], + [ + "▁erhalten", + -10.968914985656738 + ], + [ + "▁movies", + -10.968928337097168 + ], + [ + "▁Unfortunately", + -10.968963623046875 + ], + [ + "▁Looking", + -10.96945858001709 + ], + [ + "▁guard", + -10.969584465026855 + ], + [ + "▁pr", + -10.969820976257324 + ], + [ + "▁confident", + -10.96988582611084 + ], + [ + "BA", + -10.970229148864746 + ], + [ + "bas", + -10.970272064208984 + ], + [ + "hum", + -10.97050666809082 + ], + [ + "ular", + -10.9705171585083 + ], + [ + "▁Still", + -10.970593452453613 + ], + [ + "▁flavor", + -10.970656394958496 + ], + [ + "▁boost", + -10.970773696899414 + ], + [ + "▁division", + -10.970842361450195 + ], + [ + "ising", + -10.971006393432617 + ], + [ + "▁monitoring", + -10.971044540405273 + ], + [ + "▁Sen", + -10.97105884552002 + ], + [ + "▁https", + -10.971527099609375 + ], + [ + "mainly", + -10.971735000610352 + ], + [ + "play", + -10.972251892089844 + ], + [ + "▁dynamic", + -10.972357749938965 + ], + [ + "▁coup", + -10.972370147705078 + ], + [ + "▁carpet", + -10.972561836242676 + ], + [ + "iner", + -10.972846984863281 + ], + [ + "ral", + -10.97325611114502 + ], + [ + "iser", + -10.973320007324219 + ], + [ + "RC", + -10.9739990234375 + ], + [ + "▁definition", + -10.97475814819336 + ], + [ + "▁Za", + -10.974767684936523 + ], + [ + "friendly", + -10.974883079528809 + ], + [ + "43", + -10.975123405456543 + ], + [ + "link", + -10.975180625915527 + ], + [ + "▁Multi", + -10.97519302368164 + ], + [ + "▁einmal", + -10.975272178649902 + ], + [ + "▁stopped", + -10.975394248962402 + ], + [ + "vel", + -10.975456237792969 + ], + [ + "▁ongoing", + -10.975565910339355 + ], + [ + "▁ancient", + -10.976259231567383 + ], + [ + "take", + -10.976301193237305 + ], + [ + "cia", + -10.976432800292969 + ], + [ + "▁USB", + -10.976545333862305 + ], + [ + "▁attorney", + -10.976866722106934 + ], + [ + "▁slot", + -10.976866722106934 + ], + [ + "▁Line", + -10.97693157196045 + ], + [ + "rice", + -10.977087020874023 + ], + [ + "ify", + -10.977520942687988 + ], + [ + "ó", + -10.978260040283203 + ], + [ + "▁flash", + -10.978483200073242 + ], + [ + "▁extension", + -10.978555679321289 + ], + [ + "▁Ende", + -10.979022979736328 + ], + [ + "▁powder", + -10.979114532470703 + ], + [ + "ească", + -10.979143142700195 + ], + [ + "03", + -10.979327201843262 + ], + [ + "▁normally", + -10.979416847229004 + ], + [ + "▁pun", + -10.980108261108398 + ], + [ + "viewed", + -10.980138778686523 + ], + [ + "ssen", + -10.980896949768066 + ], + [ + "ache", + -10.981121063232422 + ], + [ + "ește", + -10.98122787475586 + ], + [ + "▁PA", + -10.981266021728516 + ], + [ + "FI", + -10.981945991516113 + ], + [ + "▁Frank", + -10.98198127746582 + ], + [ + "▁apa", + -10.98242473602295 + ], + [ + "▁coast", + -10.982614517211914 + ], + [ + "▁boy", + -10.982665061950684 + ], + [ + "lim", + -10.982902526855469 + ], + [ + "▁putin", + -10.983194351196289 + ], + [ + "▁script", + -10.983332633972168 + ], + [ + "▁noticed", + -10.9837007522583 + ], + [ + "▁dealing", + -10.983922004699707 + ], + [ + "▁Trans", + -10.984100341796875 + ], + [ + "▁border", + -10.984447479248047 + ], + [ + "▁reputation", + -10.984657287597656 + ], + [ + "-2", + -10.984662055969238 + ], + [ + "HS", + -10.984707832336426 + ], + [ + "▁supports", + -10.984724998474121 + ], + [ + "▁horse", + -10.985146522521973 + ], + [ + "nik", + -10.98520565032959 + ], + [ + "▁clothes", + -10.985234260559082 + ], + [ + "▁Card", + -10.985612869262695 + ], + [ + "▁relief", + -10.98595905303955 + ], + [ + "▁Visit", + -10.986259460449219 + ], + [ + "▁luni", + -10.986593246459961 + ], + [ + "81", + -10.986693382263184 + ], + [ + "qua", + -10.986945152282715 + ], + [ + "▁Comp", + -10.98697280883789 + ], + [ + "▁investigation", + -10.987137794494629 + ], + [ + "▁depth", + -10.987598419189453 + ], + [ + "▁earned", + -10.987709045410156 + ], + [ + "▁Ren", + -10.988090515136719 + ], + [ + "▁Dumnezeu", + -10.988107681274414 + ], + [ + "▁Joe", + -10.988210678100586 + ], + [ + "▁goods", + -10.988288879394531 + ], + [ + "▁Vol", + -10.988686561584473 + ], + [ + "▁certified", + -10.989118576049805 + ], + [ + "▁favor", + -10.989326477050781 + ], + [ + "▁Scott", + -10.989599227905273 + ], + [ + "▁protest", + -10.989802360534668 + ], + [ + "▁pace", + -10.989803314208984 + ], + [ + "▁Angeles", + -10.990368843078613 + ], + [ + "inch", + -10.99050521850586 + ], + [ + "▁charged", + -10.99052619934082 + ], + [ + "code", + -10.990968704223633 + ], + [ + "▁convenient", + -10.99138355255127 + ], + [ + "▁Nord", + -10.991556167602539 + ], + [ + "▁yesterday", + -10.991691589355469 + ], + [ + "Dacă", + -10.99169635772705 + ], + [ + "▁Travel", + -10.991786003112793 + ], + [ + "▁kid", + -10.991941452026367 + ], + [ + "ction", + -10.991986274719238 + ], + [ + "▁groupe", + -10.992770195007324 + ], + [ + "pu", + -10.993056297302246 + ], + [ + "bzw", + -10.993196487426758 + ], + [ + "▁mixture", + -10.993513107299805 + ], + [ + "▁Farm", + -10.993715286254883 + ], + [ + "▁acces", + -10.993939399719238 + ], + [ + "matic", + -10.993950843811035 + ], + [ + "▁comparison", + -10.994006156921387 + ], + [ + "reich", + -10.994095802307129 + ], + [ + "pet", + -10.994502067565918 + ], + [ + "▁lit", + -10.994685173034668 + ], + [ + "▁organized", + -10.99476432800293 + ], + [ + "just", + -10.995564460754395 + ], + [ + "▁fellow", + -10.996004104614258 + ], + [ + "Ver", + -10.996209144592285 + ], + [ + "▁trends", + -10.99622631072998 + ], + [ + "▁evaluation", + -10.99626636505127 + ], + [ + "feld", + -10.99639892578125 + ], + [ + "▁Pu", + -10.99671459197998 + ], + [ + "▁equipped", + -10.99727725982666 + ], + [ + "▁catre", + -10.997278213500977 + ], + [ + "eck", + -10.997369766235352 + ], + [ + "▁facing", + -10.997998237609863 + ], + [ + "▁instrument", + -10.998361587524414 + ], + [ + "▁pleased", + -10.998507499694824 + ], + [ + "▁tap", + -10.998818397521973 + ], + [ + "dom", + -10.998826026916504 + ], + [ + "▁pump", + -10.999384880065918 + ], + [ + "▁functional", + -10.999429702758789 + ], + [ + "▁authority", + -10.999455451965332 + ], + [ + "▁experiment", + -10.999478340148926 + ], + [ + "LO", + -10.999529838562012 + ], + [ + "▁scheduled", + -10.999552726745605 + ], + [ + "halt", + -10.999604225158691 + ], + [ + "▁ceiling", + -10.999761581420898 + ], + [ + "▁Step", + -11.000310897827148 + ], + [ + "▁orders", + -11.00032901763916 + ], + [ + "▁speech", + -11.001046180725098 + ], + [ + "▁stands", + -11.001119613647461 + ], + [ + "▁disc", + -11.001920700073242 + ], + [ + "▁rec", + -11.001935958862305 + ], + [ + "▁Text", + -11.00243854522705 + ], + [ + "▁banks", + -11.00294017791748 + ], + [ + "▁oameni", + -11.003045082092285 + ], + [ + "▁communications", + -11.003194808959961 + ], + [ + "trag", + -11.003307342529297 + ], + [ + "▁trail", + -11.003803253173828 + ], + [ + "AN", + -11.00426197052002 + ], + [ + "▁Federal", + -11.004467964172363 + ], + [ + "▁quote", + -11.00455093383789 + ], + [ + "▁spus", + -11.004620552062988 + ], + [ + "▁managing", + -11.004990577697754 + ], + [ + "▁booking", + -11.00505256652832 + ], + [ + "▁Blog", + -11.005669593811035 + ], + [ + "▁tank", + -11.005681991577148 + ], + [ + "pon", + -11.005804061889648 + ], + [ + "GE", + -11.00582218170166 + ], + [ + "▁fiscal", + -11.005871772766113 + ], + [ + "▁satisfaction", + -11.006044387817383 + ], + [ + "cre", + -11.00614070892334 + ], + [ + "▁protected", + -11.006494522094727 + ], + [ + "▁enfants", + -11.006782531738281 + ], + [ + "▁dort", + -11.007554054260254 + ], + [ + "▁Mel", + -11.008041381835938 + ], + [ + "▁turns", + -11.00804615020752 + ], + [ + "▁savings", + -11.008106231689453 + ], + [ + "▁voir", + -11.008358001708984 + ], + [ + "▁Boston", + -11.008394241333008 + ], + [ + "▁debate", + -11.008469581604004 + ], + [ + "▁SO", + -11.008857727050781 + ], + [ + "▁tables", + -11.009193420410156 + ], + [ + "▁honest", + -11.009210586547852 + ], + [ + "mate", + -11.009283065795898 + ], + [ + "▁chart", + -11.0094633102417 + ], + [ + "decât", + -11.009682655334473 + ], + [ + "▁Radio", + -11.009685516357422 + ], + [ + "54", + -11.00986385345459 + ], + [ + "▁vol", + -11.010008811950684 + ], + [ + "last", + -11.010148048400879 + ], + [ + "▁tall", + -11.010408401489258 + ], + [ + "▁Should", + -11.010489463806152 + ], + [ + "▁sink", + -11.010525703430176 + ], + [ + "▁Right", + -11.010527610778809 + ], + [ + "▁male", + -11.010720252990723 + ], + [ + "▁Modern", + -11.010753631591797 + ], + [ + "▁indeed", + -11.010886192321777 + ], + [ + "▁Garden", + -11.011139869689941 + ], + [ + "▁Mod", + -11.011307716369629 + ], + [ + "▁turning", + -11.0115327835083 + ], + [ + "▁inches", + -11.011557579040527 + ], + [ + "▁Police", + -11.01183795928955 + ], + [ + "▁Pay", + -11.012016296386719 + ], + [ + "UE", + -11.0126371383667 + ], + [ + "mé", + -11.012652397155762 + ], + [ + "EE", + -11.013046264648438 + ], + [ + "▁cookies", + -11.013116836547852 + ], + [ + "rip", + -11.013351440429688 + ], + [ + "▁Motor", + -11.01352310180664 + ], + [ + "▁lung", + -11.01379680633545 + ], + [ + "▁Ap", + -11.013995170593262 + ], + [ + "▁sustainable", + -11.014066696166992 + ], + [ + "▁instant", + -11.014240264892578 + ], + [ + "▁Rose", + -11.014464378356934 + ], + [ + "▁Carolina", + -11.014906883239746 + ], + [ + "▁Help", + -11.014969825744629 + ], + [ + "IE", + -11.01535701751709 + ], + [ + "▁Jersey", + -11.015522956848145 + ], + [ + "▁Spanish", + -11.015586853027344 + ], + [ + "▁wheel", + -11.015660285949707 + ], + [ + "▁fishing", + -11.0158109664917 + ], + [ + "gram", + -11.015937805175781 + ], + [ + "▁ST", + -11.016227722167969 + ], + [ + "▁Nov", + -11.01632022857666 + ], + [ + "▁reporting", + -11.016362190246582 + ], + [ + "ked", + -11.016467094421387 + ], + [ + "▁Leben", + -11.016557693481445 + ], + [ + "▁organisation", + -11.016843795776367 + ], + [ + "▁tiny", + -11.017144203186035 + ], + [ + "▁Alex", + -11.017236709594727 + ], + [ + "▁obtained", + -11.017255783081055 + ], + [ + "▁Acest", + -11.017367362976074 + ], + [ + "▁dangerous", + -11.01749038696289 + ], + [ + "utter", + -11.017624855041504 + ], + [ + "▁rev", + -11.01801586151123 + ], + [ + "Un", + -11.018242835998535 + ], + [ + "▁revealed", + -11.018356323242188 + ], + [ + "▁decade", + -11.018709182739258 + ], + [ + "▁possibility", + -11.01945686340332 + ], + [ + "service", + -11.019577980041504 + ], + [ + "è", + -11.01966667175293 + ], + [ + "▁Chief", + -11.019674301147461 + ], + [ + "▁Durch", + -11.019795417785645 + ], + [ + "▁cadre", + -11.019843101501465 + ], + [ + "▁wearing", + -11.019845008850098 + ], + [ + "sized", + -11.01988410949707 + ], + [ + "LY", + -11.01989459991455 + ], + [ + "▁unser", + -11.019963264465332 + ], + [ + "▁2016,", + -11.019988059997559 + ], + [ + "▁fail", + -11.020028114318848 + ], + [ + "iques", + -11.020115852355957 + ], + [ + "▁Angel", + -11.020315170288086 + ], + [ + "▁transportation", + -11.020364761352539 + ], + [ + "▁dates", + -11.020395278930664 + ], + [ + "▁danger", + -11.020731925964355 + ], + [ + "▁forum", + -11.020828247070312 + ], + [ + "zug", + -11.020885467529297 + ], + [ + "▁filed", + -11.021199226379395 + ], + [ + "loc", + -11.021201133728027 + ], + [ + "éri", + -11.021234512329102 + ], + [ + "tribu", + -11.021393775939941 + ], + [ + "▁entered", + -11.021639823913574 + ], + [ + "▁porte", + -11.021928787231445 + ], + [ + "▁arts", + -11.021979331970215 + ], + [ + "▁reform", + -11.022001266479492 + ], + [ + "▁Main", + -11.022101402282715 + ], + [ + "▁dir", + -11.022111892700195 + ], + [ + "▁approval", + -11.022465705871582 + ], + [ + "▁juice", + -11.022750854492188 + ], + [ + "vier", + -11.022771835327148 + ], + [ + "▁nivel", + -11.02318000793457 + ], + [ + "▁returns", + -11.023423194885254 + ], + [ + "▁formed", + -11.023723602294922 + ], + [ + "▁combine", + -11.02436351776123 + ], + [ + "▁cours", + -11.024392127990723 + ], + [ + "▁Standard", + -11.024463653564453 + ], + [ + "▁certification", + -11.024677276611328 + ], + [ + "escu", + -11.024996757507324 + ], + [ + "▁achieved", + -11.025278091430664 + ], + [ + "▁Model", + -11.025280952453613 + ], + [ + "rul", + -11.025404930114746 + ], + [ + "▁Tage", + -11.025530815124512 + ], + [ + "▁injuries", + -11.02560806274414 + ], + [ + "▁Sal", + -11.025671005249023 + ], + [ + "▁expenses", + -11.025887489318848 + ], + [ + "▁cet", + -11.026009559631348 + ], + [ + "▁taxes", + -11.026028633117676 + ], + [ + "diesen", + -11.02626895904541 + ], + [ + "▁fairly", + -11.026638984680176 + ], + [ + "▁Access", + -11.026866912841797 + ], + [ + "wind", + -11.027122497558594 + ], + [ + "IM", + -11.027252197265625 + ], + [ + "ense", + -11.027548789978027 + ], + [ + "▁hang", + -11.027957916259766 + ], + [ + "▁citizens", + -11.028020858764648 + ], + [ + "3%", + -11.028101921081543 + ], + [ + "lum", + -11.028268814086914 + ], + [ + "▁discussed", + -11.028326034545898 + ], + [ + "AC", + -11.02841854095459 + ], + [ + "‘", + -11.0286865234375 + ], + [ + "▁Sol", + -11.028698921203613 + ], + [ + "06", + -11.028816223144531 + ], + [ + "stellen", + -11.029170989990234 + ], + [ + "▁participation", + -11.02917194366455 + ], + [ + "▁Box", + -11.029200553894043 + ], + [ + "▁bieten", + -11.029687881469727 + ], + [ + "▁Louis", + -11.029730796813965 + ], + [ + "▁lessons", + -11.029789924621582 + ], + [ + "▁visible", + -11.029966354370117 + ], + [ + "▁Cam", + -11.030128479003906 + ], + [ + "▁Ban", + -11.03053092956543 + ], + [ + "▁Far", + -11.03060245513916 + ], + [ + "▁travers", + -11.030759811401367 + ], + [ + "▁telling", + -11.030808448791504 + ], + [ + "▁magic", + -11.030855178833008 + ], + [ + "▁Night", + -11.031316757202148 + ], + [ + "▁judge", + -11.031400680541992 + ], + [ + "▁Pat", + -11.031482696533203 + ], + [ + "▁Southern", + -11.031901359558105 + ], + [ + "OL", + -11.031929969787598 + ], + [ + "fully", + -11.032191276550293 + ], + [ + "▁acestea", + -11.03223705291748 + ], + [ + "▁Order", + -11.032383918762207 + ], + [ + "▁facut", + -11.032523155212402 + ], + [ + "▁Matt", + -11.032600402832031 + ], + [ + "registr", + -11.03278923034668 + ], + [ + "▁Yet", + -11.032811164855957 + ], + [ + "ß", + -11.033596992492676 + ], + [ + "▁făcut", + -11.033618927001953 + ], + [ + "▁versions", + -11.033780097961426 + ], + [ + "▁Force", + -11.03396224975586 + ], + [ + "rick", + -11.034153938293457 + ], + [ + "▁rund", + -11.034563064575195 + ], + [ + "ike", + -11.034658432006836 + ], + [ + "▁Young", + -11.034675598144531 + ], + [ + "▁ski", + -11.034927368164062 + ], + [ + "CU", + -11.035385131835938 + ], + [ + "▁Second", + -11.035510063171387 + ], + [ + "▁graduate", + -11.03554916381836 + ], + [ + "▁Bible", + -11.036049842834473 + ], + [ + "▁vary", + -11.036060333251953 + ], + [ + "▁celebration", + -11.036151885986328 + ], + [ + "▁risks", + -11.036210060119629 + ], + [ + "erii", + -11.036327362060547 + ], + [ + "rance", + -11.036577224731445 + ], + [ + "▁MP", + -11.036787986755371 + ], + [ + "▁tale", + -11.036788940429688 + ], + [ + "▁Ford", + -11.037044525146484 + ], + [ + "▁attached", + -11.037278175354004 + ], + [ + "▁Sy", + -11.037312507629395 + ], + [ + "▁Ly", + -11.03765869140625 + ], + [ + "stellung", + -11.037687301635742 + ], + [ + "▁trop", + -11.0377197265625 + ], + [ + "▁années", + -11.037736892700195 + ], + [ + "▁linked", + -11.03792667388916 + ], + [ + "pit", + -11.038352012634277 + ], + [ + "So", + -11.03835391998291 + ], + [ + "ţe", + -11.038473129272461 + ], + [ + "▁origin", + -11.038509368896484 + ], + [ + "▁boys", + -11.039263725280762 + ], + [ + "holder", + -11.039352416992188 + ], + [ + "read", + -11.039461135864258 + ], + [ + "▁relative", + -11.03950023651123 + ], + [ + "▁industries", + -11.03958511352539 + ], + [ + "making", + -11.039688110351562 + ], + [ + "▁tun", + -11.039917945861816 + ], + [ + "▁forced", + -11.041061401367188 + ], + [ + "▁Welcome", + -11.041086196899414 + ], + [ + "▁explained", + -11.041138648986816 + ], + [ + "MP", + -11.041389465332031 + ], + [ + "▁Three", + -11.041613578796387 + ], + [ + "aza", + -11.041768074035645 + ], + [ + "▁1999", + -11.041924476623535 + ], + [ + "▁erst", + -11.042237281799316 + ], + [ + "RS", + -11.042623519897461 + ], + [ + "▁attractive", + -11.04279899597168 + ], + [ + "▁visited", + -11.042805671691895 + ], + [ + "▁nom", + -11.042874336242676 + ], + [ + "▁drum", + -11.042933464050293 + ], + [ + "cast", + -11.043068885803223 + ], + [ + "ogen", + -11.043105125427246 + ], + [ + "▁tech", + -11.04360294342041 + ], + [ + "▁Comment", + -11.043664932250977 + ], + [ + "▁Little", + -11.04405689239502 + ], + [ + "▁suggested", + -11.044086456298828 + ], + [ + "▁gar", + -11.044205665588379 + ], + [ + "▁crack", + -11.04458999633789 + ], + [ + "▁shooting", + -11.044676780700684 + ], + [ + "▁Try", + -11.044759750366211 + ], + [ + "▁Remember", + -11.045008659362793 + ], + [ + "▁folks", + -11.045217514038086 + ], + [ + "▁MS", + -11.045512199401855 + ], + [ + "▁Dia", + -11.04584789276123 + ], + [ + "3)", + -11.046561241149902 + ], + [ + "arbeit", + -11.04697036743164 + ], + [ + "▁pepper", + -11.047065734863281 + ], + [ + "zz", + -11.047107696533203 + ], + [ + "▁extreme", + -11.047235488891602 + ], + [ + "▁extrem", + -11.047367095947266 + ], + [ + "▁severe", + -11.047768592834473 + ], + [ + "▁networks", + -11.047882080078125 + ], + [ + "păr", + -11.047910690307617 + ], + [ + "sent", + -11.047933578491211 + ], + [ + "▁structures", + -11.048048973083496 + ], + [ + "▁Join", + -11.048078536987305 + ], + [ + "▁privind", + -11.048255920410156 + ], + [ + "▁marriage", + -11.04865837097168 + ], + [ + "▁liegt", + -11.048918724060059 + ], + [ + "eben", + -11.048995971679688 + ], + [ + "▁produse", + -11.049076080322266 + ], + [ + "▁tested", + -11.049090385437012 + ], + [ + "▁Queen", + -11.049134254455566 + ], + [ + "▁Tax", + -11.049687385559082 + ], + [ + "rian", + -11.049710273742676 + ], + [ + "▁Problem", + -11.050151824951172 + ], + [ + "izat", + -11.05023193359375 + ], + [ + "udi", + -11.050324440002441 + ], + [ + "▁LA", + -11.050718307495117 + ], + [ + "▁afford", + -11.051108360290527 + ], + [ + "▁percentage", + -11.05121898651123 + ], + [ + "▁cute", + -11.051547050476074 + ], + [ + "▁gorgeous", + -11.051891326904297 + ], + [ + "▁indoor", + -11.05190372467041 + ], + [ + "▁configuration", + -11.052103042602539 + ], + [ + "▁immediate", + -11.052303314208984 + ], + [ + "▁exemple", + -11.052450180053711 + ], + [ + "▁Being", + -11.052550315856934 + ], + [ + "▁introduction", + -11.052591323852539 + ], + [ + "ella", + -11.053206443786621 + ], + [ + "bare", + -11.053521156311035 + ], + [ + "▁besser", + -11.053539276123047 + ], + [ + "▁Put", + -11.053740501403809 + ], + [ + "gon", + -11.054248809814453 + ], + [ + "▁Italy", + -11.054259300231934 + ], + [ + "▁Thus", + -11.05435562133789 + ], + [ + "tari", + -11.054437637329102 + ], + [ + "0.000", + -11.054460525512695 + ], + [ + "▁Price", + -11.054651260375977 + ], + [ + "▁Trust", + -11.054824829101562 + ], + [ + "▁contra", + -11.054863929748535 + ], + [ + "▁layout", + -11.05504035949707 + ], + [ + "▁Ireland", + -11.055187225341797 + ], + [ + "ctor", + -11.055344581604004 + ], + [ + "atoare", + -11.055540084838867 + ], + [ + "pra", + -11.055729866027832 + ], + [ + "rent", + -11.055892944335938 + ], + [ + "▁Seite", + -11.05605411529541 + ], + [ + "▁ori", + -11.056280136108398 + ], + [ + "spiel", + -11.056541442871094 + ], + [ + "▁Times", + -11.056883811950684 + ], + [ + "primarily", + -11.056974411010742 + ], + [ + "nov", + -11.05703067779541 + ], + [ + "▁desired", + -11.057061195373535 + ], + [ + "▁Would", + -11.057072639465332 + ], + [ + "PL", + -11.057225227355957 + ], + [ + "▁originally", + -11.057367324829102 + ], + [ + "▁Ana", + -11.057463645935059 + ], + [ + "EN", + -11.05754566192627 + ], + [ + "▁occasion", + -11.05755615234375 + ], + [ + "▁grant", + -11.057572364807129 + ], + [ + "igkeit", + -11.057975769042969 + ], + [ + "▁scheme", + -11.058146476745605 + ], + [ + "▁2015.", + -11.058621406555176 + ], + [ + "izare", + -11.058778762817383 + ], + [ + "gate", + -11.058792114257812 + ], + [ + "▁poker", + -11.058899879455566 + ], + [ + "pping", + -11.058998107910156 + ], + [ + "▁Wild", + -11.059511184692383 + ], + [ + "▁YouTube", + -11.059995651245117 + ], + [ + "▁assume", + -11.060284614562988 + ], + [ + "с", + -11.060614585876465 + ], + [ + "▁rapport", + -11.060623168945312 + ], + [ + "▁labor", + -11.060996055603027 + ], + [ + "teur", + -11.061041831970215 + ], + [ + "▁genre", + -11.06116008758545 + ], + [ + "▁plat", + -11.061745643615723 + ], + [ + "▁listening", + -11.061750411987305 + ], + [ + "sky", + -11.061777114868164 + ], + [ + "▁neighborhood", + -11.061782836914062 + ], + [ + "▁3-", + -11.062150001525879 + ], + [ + "▁Library", + -11.062162399291992 + ], + [ + "agit", + -11.062249183654785 + ], + [ + "▁platforms", + -11.062849998474121 + ], + [ + "bei", + -11.062882423400879 + ], + [ + "AB", + -11.062897682189941 + ], + [ + "▁manufacturers", + -11.06295394897461 + ], + [ + "▁printing", + -11.063141822814941 + ], + [ + "▁crisis", + -11.063326835632324 + ], + [ + "▁Smart", + -11.06335163116455 + ], + [ + "▁drawing", + -11.063406944274902 + ], + [ + "MO", + -11.06348991394043 + ], + [ + "▁durable", + -11.063569068908691 + ], + [ + "chant", + -11.0636625289917 + ], + [ + "▁chemical", + -11.063764572143555 + ], + [ + "▁savoir", + -11.063776016235352 + ], + [ + "▁Max", + -11.063802719116211 + ], + [ + "gestellt", + -11.06380844116211 + ], + [ + "▁rural", + -11.063854217529297 + ], + [ + "52", + -11.064105033874512 + ], + [ + "▁invited", + -11.064169883728027 + ], + [ + "▁fil", + -11.0642728805542 + ], + [ + "▁Rob", + -11.064284324645996 + ], + [ + "▁Bell", + -11.064387321472168 + ], + [ + "▁neck", + -11.064831733703613 + ], + [ + "pac", + -11.064879417419434 + ], + [ + "wal", + -11.06491470336914 + ], + [ + "▁là", + -11.064922332763672 + ], + [ + "▁Virginia", + -11.065081596374512 + ], + [ + "▁applicable", + -11.06509017944336 + ], + [ + "▁abuse", + -11.065153121948242 + ], + [ + "aide", + -11.065321922302246 + ], + [ + "▁increases", + -11.065396308898926 + ], + [ + "▁moi", + -11.065568923950195 + ], + [ + "▁Non", + -11.065577507019043 + ], + [ + "▁Produkt", + -11.065627098083496 + ], + [ + "FC", + -11.065644264221191 + ], + [ + "▁shops", + -11.065677642822266 + ], + [ + "▁prendre", + -11.065923690795898 + ], + [ + "atul", + -11.065990447998047 + ], + [ + "▁sal", + -11.066137313842773 + ], + [ + "▁société", + -11.06627082824707 + ], + [ + "▁Hot", + -11.066329002380371 + ], + [ + "rim", + -11.066587448120117 + ], + [ + "gue", + -11.06661605834961 + ], + [ + "▁enterprise", + -11.066624641418457 + ], + [ + "▁33", + -11.067329406738281 + ], + [ + "mittel", + -11.067395210266113 + ], + [ + "ged", + -11.067439079284668 + ], + [ + "▁formula", + -11.06777286529541 + ], + [ + "▁spin", + -11.067784309387207 + ], + [ + "als", + -11.067826271057129 + ], + [ + "2%", + -11.06785774230957 + ], + [ + "bon", + -11.068192481994629 + ], + [ + "▁Executive", + -11.068323135375977 + ], + [ + "▁wirklich", + -11.068427085876465 + ], + [ + "îl", + -11.068608283996582 + ], + [ + "1.", + -11.068917274475098 + ], + [ + "▁Arm", + -11.069157600402832 + ], + [ + "▁rid", + -11.069358825683594 + ], + [ + "aries", + -11.069727897644043 + ], + [ + "▁incident", + -11.06982421875 + ], + [ + "▁copii", + -11.070008277893066 + ], + [ + "▁Charles", + -11.070141792297363 + ], + [ + "▁meals", + -11.070147514343262 + ], + [ + "▁wireless", + -11.070237159729004 + ], + [ + "Ex", + -11.070364952087402 + ], + [ + "▁Financial", + -11.070540428161621 + ], + [ + "▁AM", + -11.070615768432617 + ], + [ + "▁fest", + -11.070645332336426 + ], + [ + "▁Ol", + -11.071410179138184 + ], + [ + "oir", + -11.071447372436523 + ], + [ + "300", + -11.071893692016602 + ], + [ + "▁punct", + -11.072138786315918 + ], + [ + "▁Mad", + -11.07283878326416 + ], + [ + "▁Ali", + -11.072907447814941 + ], + [ + "lag", + -11.073214530944824 + ], + [ + "▁ocean", + -11.073314666748047 + ], + [ + "▁mirror", + -11.073326110839844 + ], + [ + "▁Additionally", + -11.073869705200195 + ], + [ + "alia", + -11.073884963989258 + ], + [ + "▁county", + -11.073899269104004 + ], + [ + "▁hip", + -11.074305534362793 + ], + [ + "dale", + -11.074395179748535 + ], + [ + "▁Stra", + -11.074429512023926 + ], + [ + "▁drag", + -11.074575424194336 + ], + [ + "▁Sand", + -11.074851036071777 + ], + [ + "▁historic", + -11.074980735778809 + ], + [ + "ière", + -11.075427055358887 + ], + [ + "▁examine", + -11.075624465942383 + ], + [ + "soci", + -11.075634002685547 + ], + [ + "ime", + -11.076088905334473 + ], + [ + "▁Insurance", + -11.07621955871582 + ], + [ + "▁crime", + -11.076736450195312 + ], + [ + "▁pare", + -11.076945304870605 + ], + [ + "▁craft", + -11.077105522155762 + ], + [ + "▁Building", + -11.077279090881348 + ], + [ + "mission", + -11.077534675598145 + ], + [ + "▁Americans", + -11.077573776245117 + ], + [ + "▁mg", + -11.077799797058105 + ], + [ + "▁passage", + -11.077938079833984 + ], + [ + "▁deposit", + -11.078346252441406 + ], + [ + "▁widely", + -11.078444480895996 + ], + [ + "nch", + -11.078453063964844 + ], + [ + "▁Coast", + -11.078756332397461 + ], + [ + "▁recipes", + -11.078784942626953 + ], + [ + "▁Ziel", + -11.07951545715332 + ], + [ + "▁duty", + -11.079646110534668 + ], + [ + "▁gerne", + -11.079704284667969 + ], + [ + "most", + -11.080034255981445 + ], + [ + "▁argument", + -11.080158233642578 + ], + [ + "▁root", + -11.08021354675293 + ], + [ + "▁consult", + -11.08024787902832 + ], + [ + "▁muscle", + -11.080255508422852 + ], + [ + "▁spoke", + -11.08038330078125 + ], + [ + "▁Cum", + -11.080950736999512 + ], + [ + "▁orange", + -11.081033706665039 + ], + [ + "▁reader", + -11.081123352050781 + ], + [ + "schw", + -11.081151008605957 + ], + [ + "▁commission", + -11.081332206726074 + ], + [ + "histoire", + -11.081811904907227 + ], + [ + "▁represents", + -11.082064628601074 + ], + [ + "▁meilleur", + -11.082343101501465 + ], + [ + "▁10.", + -11.082358360290527 + ], + [ + "HA", + -11.082427024841309 + ], + [ + "▁Systems", + -11.082573890686035 + ], + [ + "▁blind", + -11.082603454589844 + ], + [ + "▁HP", + -11.083221435546875 + ], + [ + "▁doi", + -11.083307266235352 + ], + [ + "▁signature", + -11.083404541015625 + ], + [ + "▁invite", + -11.083505630493164 + ], + [ + "▁Samsung", + -11.083802223205566 + ], + [ + "▁liber", + -11.083942413330078 + ], + [ + "▁letters", + -11.0840482711792 + ], + [ + "▁primul", + -11.084186553955078 + ], + [ + "▁losing", + -11.084328651428223 + ], + [ + "resulting", + -11.084467887878418 + ], + [ + "▁Computer", + -11.08474063873291 + ], + [ + "▁poll", + -11.0847749710083 + ], + [ + "rile", + -11.085102081298828 + ], + [ + "TI", + -11.085142135620117 + ], + [ + "▁cur", + -11.08566951751709 + ], + [ + "▁fonction", + -11.085833549499512 + ], + [ + "gat", + -11.086359977722168 + ], + [ + "AA", + -11.086480140686035 + ], + [ + "tiv", + -11.086692810058594 + ], + [ + "▁Str", + -11.087076187133789 + ], + [ + "ești", + -11.087677955627441 + ], + [ + "▁officer", + -11.0877046585083 + ], + [ + "reducing", + -11.08772087097168 + ], + [ + "▁gifts", + -11.08780288696289 + ], + [ + "▁performing", + -11.08788776397705 + ], + [ + "▁»,", + -11.088349342346191 + ], + [ + "▁guitar", + -11.08838939666748 + ], + [ + "▁segment", + -11.088580131530762 + ], + [ + "▁Tar", + -11.08861255645752 + ], + [ + "▁ultimately", + -11.088805198669434 + ], + [ + "▁cam", + -11.088960647583008 + ], + [ + "▁Arbeit", + -11.089076042175293 + ], + [ + "▁accessories", + -11.089418411254883 + ], + [ + "bad", + -11.089820861816406 + ], + [ + "home", + -11.0899019241333 + ], + [ + "▁clip", + -11.08995532989502 + ], + [ + "range", + -11.090432167053223 + ], + [ + "CM", + -11.090867042541504 + ], + [ + "▁printed", + -11.090883255004883 + ], + [ + "▁Pet", + -11.091177940368652 + ], + [ + "▁attract", + -11.091333389282227 + ], + [ + "date", + -11.091501235961914 + ], + [ + "▁Senior", + -11.091503143310547 + ], + [ + "▁genau", + -11.092177391052246 + ], + [ + "num", + -11.092435836791992 + ], + [ + "▁attended", + -11.092674255371094 + ], + [ + "▁Turn", + -11.092824935913086 + ], + [ + "▁History", + -11.092830657958984 + ], + [ + "some", + -11.092852592468262 + ], + [ + "▁describe", + -11.09308910369873 + ], + [ + "▁Lee", + -11.093143463134766 + ], + [ + "▁Fre", + -11.093314170837402 + ], + [ + "▁league", + -11.093345642089844 + ], + [ + "new", + -11.093505859375 + ], + [ + "tors", + -11.093535423278809 + ], + [ + "▁storm", + -11.094005584716797 + ], + [ + "▁Beispiel", + -11.094197273254395 + ], + [ + "▁index", + -11.094344139099121 + ], + [ + "▁awarded", + -11.094613075256348 + ], + [ + "state", + -11.094625473022461 + ], + [ + "▁1990", + -11.094874382019043 + ], + [ + "▁ends", + -11.094902992248535 + ], + [ + "kor", + -11.095070838928223 + ], + [ + "far", + -11.095418930053711 + ], + [ + "▁Page", + -11.095541000366211 + ], + [ + "▁promotion", + -11.095610618591309 + ], + [ + "▁weekly", + -11.095726013183594 + ], + [ + "400", + -11.095966339111328 + ], + [ + "iuni", + -11.096365928649902 + ], + [ + "▁Summer", + -11.096376419067383 + ], + [ + "▁thin", + -11.096627235412598 + ], + [ + "▁dafür", + -11.09669303894043 + ], + [ + "51", + -11.096769332885742 + ], + [ + "PR", + -11.096978187561035 + ], + [ + "▁Hy", + -11.097001075744629 + ], + [ + "gas", + -11.097013473510742 + ], + [ + "▁atat", + -11.097166061401367 + ], + [ + "▁mining", + -11.097347259521484 + ], + [ + "▁principles", + -11.09741497039795 + ], + [ + "gent", + -11.097545623779297 + ], + [ + "ika", + -11.097685813903809 + ], + [ + "▁religion", + -11.097787857055664 + ], + [ + "▁ordered", + -11.098284721374512 + ], + [ + "▁developers", + -11.098298072814941 + ], + [ + "▁pleasure", + -11.098456382751465 + ], + [ + "vit", + -11.098505020141602 + ], + [ + "mers", + -11.0988130569458 + ], + [ + "▁Section", + -11.098873138427734 + ], + [ + "▁por", + -11.098960876464844 + ], + [ + "▁Name", + -11.099200248718262 + ], + [ + "▁pink", + -11.099260330200195 + ], + [ + "dig", + -11.09934139251709 + ], + [ + "▁eligible", + -11.099397659301758 + ], + [ + "▁Happy", + -11.09941577911377 + ], + [ + "▁fo", + -11.099480628967285 + ], + [ + "▁availability", + -11.099541664123535 + ], + [ + "GO", + -11.099583625793457 + ], + [ + "▁Europa", + -11.099637985229492 + ], + [ + "▁Unit", + -11.099656105041504 + ], + [ + "▁1000", + -11.099837303161621 + ], + [ + "▁Berg", + -11.099846839904785 + ], + [ + "fini", + -11.099853515625 + ], + [ + "▁$3", + -11.100565910339355 + ], + [ + "iza", + -11.100749969482422 + ], + [ + "▁promo", + -11.100830078125 + ], + [ + "▁Low", + -11.101234436035156 + ], + [ + "abord", + -11.101326942443848 + ], + [ + "äh", + -11.101485252380371 + ], + [ + "▁Professor", + -11.101570129394531 + ], + [ + "▁array", + -11.101579666137695 + ], + [ + "▁hate", + -11.101594924926758 + ], + [ + "▁recording", + -11.101601600646973 + ], + [ + "RI", + -11.101649284362793 + ], + [ + "▁proof", + -11.101710319519043 + ], + [ + "lay", + -11.10185718536377 + ], + [ + "DE", + -11.102007865905762 + ], + [ + "▁surprised", + -11.102066040039062 + ], + [ + "▁boxes", + -11.102193832397461 + ], + [ + "▁noastre", + -11.102386474609375 + ], + [ + "zie", + -11.102387428283691 + ], + [ + "▁însă", + -11.10254192352295 + ], + [ + "▁ajuta", + -11.102783203125 + ], + [ + "▁weil", + -11.1028413772583 + ], + [ + "▁whenever", + -11.103026390075684 + ], + [ + "shi", + -11.103194236755371 + ], + [ + "satz", + -11.103605270385742 + ], + [ + "▁remind", + -11.10401725769043 + ], + [ + "▁consist", + -11.10412311553955 + ], + [ + "▁motiv", + -11.104240417480469 + ], + [ + "▁PS", + -11.1043062210083 + ], + [ + "▁trois", + -11.104543685913086 + ], + [ + "pad", + -11.10477352142334 + ], + [ + "▁besten", + -11.104904174804688 + ], + [ + "▁Stone", + -11.105140686035156 + ], + [ + "itz", + -11.105157852172852 + ], + [ + "fit", + -11.105164527893066 + ], + [ + "▁Mountain", + -11.105178833007812 + ], + [ + "OC", + -11.10519027709961 + ], + [ + "▁depends", + -11.105228424072266 + ], + [ + "▁Cover", + -11.105387687683105 + ], + [ + "▁bags", + -11.106058120727539 + ], + [ + "▁Bel", + -11.106199264526367 + ], + [ + "▁Engineering", + -11.106304168701172 + ], + [ + "▁flower", + -11.106647491455078 + ], + [ + "▁gratuit", + -11.106670379638672 + ], + [ + "▁smartphone", + -11.106780052185059 + ], + [ + "stan", + -11.107197761535645 + ], + [ + "spect", + -11.10726261138916 + ], + [ + "SL", + -11.107282638549805 + ], + [ + "sho", + -11.10738754272461 + ], + [ + "▁Ser", + -11.10791301727295 + ], + [ + "▁Perhaps", + -11.108247756958008 + ], + [ + "▁codes", + -11.108342170715332 + ], + [ + "▁Wind", + -11.10849666595459 + ], + [ + "aient", + -11.108757019042969 + ], + [ + "▁Prin", + -11.108802795410156 + ], + [ + "▁(1)", + -11.109090805053711 + ], + [ + "▁figures", + -11.109450340270996 + ], + [ + "▁ausge", + -11.10972785949707 + ], + [ + "▁episode", + -11.110050201416016 + ], + [ + "▁Spa", + -11.110370635986328 + ], + [ + "▁Silver", + -11.110386848449707 + ], + [ + "▁Sky", + -11.110396385192871 + ], + [ + "▁capabilities", + -11.1107177734375 + ], + [ + "▁Uni", + -11.11073112487793 + ], + [ + "▁încă", + -11.110876083374023 + ], + [ + "TO", + -11.111289978027344 + ], + [ + "▁Hal", + -11.111358642578125 + ], + [ + "ghi", + -11.111414909362793 + ], + [ + "▁sofa", + -11.111438751220703 + ], + [ + "hard", + -11.11150074005127 + ], + [ + "▁FOR", + -11.111587524414062 + ], + [ + "▁Ber", + -11.111820220947266 + ], + [ + "▁firms", + -11.11187744140625 + ], + [ + "▁memories", + -11.111883163452148 + ], + [ + "▁lift", + -11.11214542388916 + ], + [ + "▁sending", + -11.11214542388916 + ], + [ + "▁narrow", + -11.112646102905273 + ], + [ + "▁Steve", + -11.112784385681152 + ], + [ + "▁integration", + -11.112905502319336 + ], + [ + "known", + -11.113122940063477 + ], + [ + "▁nostru", + -11.113237380981445 + ], + [ + "iţi", + -11.113422393798828 + ], + [ + "▁Georgia", + -11.113759994506836 + ], + [ + "▁slowly", + -11.114026069641113 + ], + [ + "iere", + -11.114028930664062 + ], + [ + "aka", + -11.114255905151367 + ], + [ + "PE", + -11.114320755004883 + ], + [ + "▁venue", + -11.11468505859375 + ], + [ + "jar", + -11.11474609375 + ], + [ + "buch", + -11.114755630493164 + ], + [ + "rad", + -11.114858627319336 + ], + [ + "▁resistance", + -11.114899635314941 + ], + [ + "▁stehen", + -11.114914894104004 + ], + [ + "chin", + -11.11504077911377 + ], + [ + "▁weak", + -11.11535358428955 + ], + [ + "▁DVD", + -11.115598678588867 + ], + [ + "▁bodies", + -11.115856170654297 + ], + [ + "▁split", + -11.115884780883789 + ], + [ + "What", + -11.116231918334961 + ], + [ + "setzen", + -11.116467475891113 + ], + [ + "▁loves", + -11.116561889648438 + ], + [ + "▁kleine", + -11.117077827453613 + ], + [ + "▁increasingly", + -11.11746883392334 + ], + [ + "▁alert", + -11.117583274841309 + ], + [ + "▁AC", + -11.117647171020508 + ], + [ + "▁partir", + -11.117974281311035 + ], + [ + "▁ratio", + -11.11807918548584 + ], + [ + "▁keeps", + -11.118539810180664 + ], + [ + "▁Area", + -11.118544578552246 + ], + [ + "▁données", + -11.119071960449219 + ], + [ + "▁flag", + -11.119254112243652 + ], + [ + "▁NO", + -11.119277000427246 + ], + [ + "▁hotels", + -11.119336128234863 + ], + [ + "▁debut", + -11.119365692138672 + ], + [ + "▁suffer", + -11.119368553161621 + ], + [ + "▁hidden", + -11.119810104370117 + ], + [ + "▁clothing", + -11.120074272155762 + ], + [ + "▁household", + -11.120235443115234 + ], + [ + "medi", + -11.120268821716309 + ], + [ + "▁reste", + -11.120274543762207 + ], + [ + "bro", + -11.120381355285645 + ], + [ + "▁Bus", + -11.120405197143555 + ], + [ + "▁Ken", + -11.120572090148926 + ], + [ + "IR", + -11.120758056640625 + ], + [ + "▁suffering", + -11.121212005615234 + ], + [ + "▁publication", + -11.121246337890625 + ], + [ + "▁Mat", + -11.121360778808594 + ], + [ + "▁impression", + -11.121509552001953 + ], + [ + "▁founded", + -11.121562957763672 + ], + [ + "▁stable", + -11.121566772460938 + ], + [ + "▁promise", + -11.121719360351562 + ], + [ + "▁Cloud", + -11.121770858764648 + ], + [ + "▁prison", + -11.122099876403809 + ], + [ + "cor", + -11.122355461120605 + ], + [ + "▁Sports", + -11.122716903686523 + ], + [ + "▁erste", + -11.122745513916016 + ], + [ + "shire", + -11.122757911682129 + ], + [ + "▁recommendations", + -11.122916221618652 + ], + [ + "▁permit", + -11.123100280761719 + ], + [ + "▁tomorrow", + -11.123126983642578 + ], + [ + "▁lucky", + -11.123422622680664 + ], + [ + "▁realized", + -11.123449325561523 + ], + [ + "▁famille", + -11.123473167419434 + ], + [ + "▁Zealand", + -11.123542785644531 + ], + [ + "▁wooden", + -11.123601913452148 + ], + [ + "▁east", + -11.124269485473633 + ], + [ + "▁Bereich", + -11.12458324432373 + ], + [ + "während", + -11.124653816223145 + ], + [ + "rite", + -11.124836921691895 + ], + [ + "▁fla", + -11.124902725219727 + ], + [ + "platz", + -11.124991416931152 + ], + [ + "▁zero", + -11.125292778015137 + ], + [ + "▁priority", + -11.12535572052002 + ], + [ + "▁Airport", + -11.125506401062012 + ], + [ + "▁Kauf", + -11.125590324401855 + ], + [ + "▁ultimate", + -11.12601375579834 + ], + [ + "▁chest", + -11.126175880432129 + ], + [ + "▁tone", + -11.126376152038574 + ], + [ + "▁Kal", + -11.126431465148926 + ], + [ + "▁supposed", + -11.12669849395752 + ], + [ + "▁vedere", + -11.126846313476562 + ], + [ + "▁50%", + -11.126872062683105 + ], + [ + "▁Ger", + -11.127785682678223 + ], + [ + "pack", + -11.127849578857422 + ], + [ + "▁priv", + -11.128241539001465 + ], + [ + "▁Kit", + -11.128263473510742 + ], + [ + "▁tent", + -11.128457069396973 + ], + [ + "▁guidelines", + -11.128461837768555 + ], + [ + "▁Republic", + -11.128824234008789 + ], + [ + "including", + -11.129239082336426 + ], + [ + "▁chief", + -11.129615783691406 + ], + [ + "▁Living", + -11.129766464233398 + ], + [ + "keit", + -11.1298189163208 + ], + [ + "▁convert", + -11.129831314086914 + ], + [ + "tail", + -11.129928588867188 + ], + [ + "orient", + -11.129960060119629 + ], + [ + "eigenen", + -11.130245208740234 + ], + [ + "▁soup", + -11.130587577819824 + ], + [ + "▁zona", + -11.130661010742188 + ], + [ + "▁composition", + -11.130690574645996 + ], + [ + "▁Bob", + -11.130831718444824 + ], + [ + "▁exception", + -11.131170272827148 + ], + [ + "▁cr", + -11.131287574768066 + ], + [ + "▁str", + -11.131482124328613 + ], + [ + "▁Fl", + -11.13178825378418 + ], + [ + "AT", + -11.131909370422363 + ], + [ + "kel", + -11.132002830505371 + ], + [ + "▁pricing", + -11.132189750671387 + ], + [ + "▁Mass", + -11.132258415222168 + ], + [ + "vir", + -11.132333755493164 + ], + [ + "leg", + -11.132448196411133 + ], + [ + "▁rating", + -11.132455825805664 + ], + [ + "▁Sale", + -11.132628440856934 + ], + [ + "▁somewhere", + -11.132866859436035 + ], + [ + "▁submitted", + -11.133084297180176 + ], + [ + "▁Pop", + -11.133296012878418 + ], + [ + "▁papers", + -11.13330364227295 + ], + [ + "▁authorities", + -11.133326530456543 + ], + [ + "▁Person", + -11.133381843566895 + ], + [ + "▁kill", + -11.133512496948242 + ], + [ + "▁suggestions", + -11.133548736572266 + ], + [ + "-6", + -11.133644104003906 + ], + [ + "▁dust", + -11.133750915527344 + ], + [ + "taire", + -11.133805274963379 + ], + [ + "▁recognition", + -11.133870124816895 + ], + [ + "3.", + -11.134047508239746 + ], + [ + "▁Mont", + -11.134230613708496 + ], + [ + "▁produit", + -11.13430118560791 + ], + [ + "▁transmission", + -11.134340286254883 + ], + [ + "▁Th", + -11.13475513458252 + ], + [ + "▁passing", + -11.134928703308105 + ], + [ + "▁Partner", + -11.135161399841309 + ], + [ + "▁dire", + -11.135205268859863 + ], + [ + "▁DC", + -11.135432243347168 + ], + [ + "▁sky", + -11.135659217834473 + ], + [ + "▁Kitchen", + -11.135890007019043 + ], + [ + "▁fluid", + -11.135929107666016 + ], + [ + "▁scored", + -11.136005401611328 + ], + [ + "▁chapter", + -11.136100769042969 + ], + [ + "If", + -11.136231422424316 + ], + [ + "letzten", + -11.136275291442871 + ], + [ + "▁officers", + -11.13641357421875 + ], + [ + "▁avem", + -11.136631965637207 + ], + [ + "ister", + -11.136666297912598 + ], + [ + "▁involves", + -11.136688232421875 + ], + [ + "ico", + -11.136898040771484 + ], + [ + "bur", + -11.137056350708008 + ], + [ + "▁mieux", + -11.137064933776855 + ], + [ + "▁Photo", + -11.1371431350708 + ], + [ + "▁Cro", + -11.137228012084961 + ], + [ + "▁professor", + -11.137245178222656 + ], + [ + "▁besonders", + -11.137313842773438 + ], + [ + "д", + -11.137367248535156 + ], + [ + "▁alongside", + -11.137382507324219 + ], + [ + "▁stored", + -11.13770580291748 + ], + [ + "▁activ", + -11.137849807739258 + ], + [ + "▁setup", + -11.138169288635254 + ], + [ + "▁extract", + -11.138627052307129 + ], + [ + "▁accent", + -11.138633728027344 + ], + [ + "▁replaced", + -11.138638496398926 + ], + [ + "tec", + -11.138800621032715 + ], + [ + "▁Natur", + -11.138848304748535 + ], + [ + "▁Pacific", + -11.138887405395508 + ], + [ + "▁NY", + -11.139485359191895 + ], + [ + "▁Capital", + -11.139583587646484 + ], + [ + "▁forest", + -11.13969898223877 + ], + [ + "incredibly", + -11.14006233215332 + ], + [ + "▁choix", + -11.14021110534668 + ], + [ + "▁seriously", + -11.140281677246094 + ], + [ + "▁konnte", + -11.14030933380127 + ], + [ + "▁2014.", + -11.140443801879883 + ], + [ + "ensuring", + -11.140534400939941 + ], + [ + "▁handling", + -11.140661239624023 + ], + [ + "▁9.", + -11.140715599060059 + ], + [ + "▁relations", + -11.140876770019531 + ], + [ + "▁Kom", + -11.141045570373535 + ], + [ + "▁Hol", + -11.141282081604004 + ], + [ + "▁none", + -11.141515731811523 + ], + [ + "rob", + -11.141718864440918 + ], + [ + "▁Forum", + -11.141759872436523 + ], + [ + "hour", + -11.141776084899902 + ], + [ + "ème", + -11.141809463500977 + ], + [ + "▁Space", + -11.141986846923828 + ], + [ + "▁Ham", + -11.142992973327637 + ], + [ + "rap", + -11.143169403076172 + ], + [ + "▁Michigan", + -11.14317512512207 + ], + [ + "km", + -11.143202781677246 + ], + [ + "▁utilize", + -11.143548965454102 + ], + [ + "lov", + -11.143775939941406 + ], + [ + "▁luck", + -11.144388198852539 + ], + [ + "lä", + -11.144824981689453 + ], + [ + "▁healing", + -11.145010948181152 + ], + [ + "▁neu", + -11.145182609558105 + ], + [ + "aging", + -11.145251274108887 + ], + [ + "▁compliance", + -11.145583152770996 + ], + [ + "▁vertical", + -11.145675659179688 + ], + [ + "▁FREE", + -11.145729064941406 + ], + [ + "▁differences", + -11.146014213562012 + ], + [ + "▁Server", + -11.146252632141113 + ], + [ + "▁estimated", + -11.146378517150879 + ], + [ + "schutz", + -11.146692276000977 + ], + [ + "▁notamment", + -11.146736145019531 + ], + [ + "▁120", + -11.146919250488281 + ], + [ + "72", + -11.147282600402832 + ], + [ + "▁heating", + -11.147347450256348 + ], + [ + "late", + -11.14756965637207 + ], + [ + "▁younger", + -11.14783000946045 + ], + [ + "▁Intel", + -11.148171424865723 + ], + [ + "▁salad", + -11.148362159729004 + ], + [ + "▁commonly", + -11.148563385009766 + ], + [ + "▁treatments", + -11.148682594299316 + ], + [ + "▁speaker", + -11.148770332336426 + ], + [ + "▁producing", + -11.149120330810547 + ], + [ + "▁eggs", + -11.149367332458496 + ], + [ + "▁Spirit", + -11.149892807006836 + ], + [ + "▁beide", + -11.149918556213379 + ], + [ + "▁transaction", + -11.150283813476562 + ], + [ + "▁Machine", + -11.150464057922363 + ], + [ + "▁Games", + -11.150527000427246 + ], + [ + "▁niveau", + -11.150687217712402 + ], + [ + "▁Need", + -11.15082836151123 + ], + [ + "radi", + -11.150959968566895 + ], + [ + "mir", + -11.15096664428711 + ], + [ + "causing", + -11.151000022888184 + ], + [ + "▁début", + -11.151042938232422 + ], + [ + "▁rencontre", + -11.151063919067383 + ], + [ + "▁threat", + -11.151153564453125 + ], + [ + "▁enjoying", + -11.151320457458496 + ], + [ + "Com", + -11.151386260986328 + ], + [ + "▁Johnson", + -11.151555061340332 + ], + [ + "▁tournament", + -11.15156364440918 + ], + [ + "▁Micro", + -11.151582717895508 + ], + [ + "▁Drive", + -11.151667594909668 + ], + [ + "▁Cre", + -11.151866912841797 + ], + [ + "▁Lebens", + -11.151930809020996 + ], + [ + "▁categories", + -11.152358055114746 + ], + [ + "5,000", + -11.15261173248291 + ], + [ + "▁confirmed", + -11.152617454528809 + ], + [ + "pli", + -11.152763366699219 + ], + [ + "▁Francisco", + -11.153139114379883 + ], + [ + "▁raw", + -11.153157234191895 + ], + [ + "▁managers", + -11.153223991394043 + ], + [ + "ţie", + -11.153365135192871 + ], + [ + "UR", + -11.153368949890137 + ], + [ + "▁aproape", + -11.154065132141113 + ], + [ + "via", + -11.154606819152832 + ], + [ + "▁engaged", + -11.154646873474121 + ], + [ + "▁parti", + -11.154741287231445 + ], + [ + "▁posting", + -11.15517807006836 + ], + [ + "CO", + -11.155484199523926 + ], + [ + "▁bois", + -11.155815124511719 + ], + [ + "▁inch", + -11.15590763092041 + ], + [ + "vie", + -11.156068801879883 + ], + [ + "▁aside", + -11.156314849853516 + ], + [ + "▁exceptional", + -11.15658950805664 + ], + [ + "▁vintage", + -11.156668663024902 + ], + [ + "▁Him", + -11.156795501708984 + ], + [ + "▁expansion", + -11.156806945800781 + ], + [ + "▁Weg", + -11.157122611999512 + ], + [ + "▁authors", + -11.157535552978516 + ], + [ + "▁deine", + -11.15764045715332 + ], + [ + "▁Prime", + -11.158016204833984 + ], + [ + "▁scan", + -11.158055305480957 + ], + [ + "▁reg", + -11.158112525939941 + ], + [ + "ția", + -11.158141136169434 + ], + [ + "riv", + -11.158258438110352 + ], + [ + "selon", + -11.158440589904785 + ], + [ + "▁Studio", + -11.158571243286133 + ], + [ + "▁dich", + -11.158658027648926 + ], + [ + "▁vi", + -11.158745765686035 + ], + [ + "▁sequence", + -11.159016609191895 + ], + [ + "▁Four", + -11.159046173095703 + ], + [ + "RT", + -11.159050941467285 + ], + [ + "▁ihn", + -11.159072875976562 + ], + [ + "▁employ", + -11.159223556518555 + ], + [ + "umb", + -11.159659385681152 + ], + [ + "ită", + -11.159818649291992 + ], + [ + "▁Station", + -11.159950256347656 + ], + [ + "▁upload", + -11.159972190856934 + ], + [ + "▁upgrade", + -11.160445213317871 + ], + [ + "▁exterior", + -11.160528182983398 + ], + [ + "▁writers", + -11.160531997680664 + ], + [ + "▁plot", + -11.160543441772461 + ], + [ + "▁Gen", + -11.16068172454834 + ], + [ + "TER", + -11.160821914672852 + ], + [ + "-12", + -11.160930633544922 + ], + [ + "http", + -11.162168502807617 + ], + [ + "▁smell", + -11.1621732711792 + ], + [ + "post", + -11.162522315979004 + ], + [ + "von", + -11.162790298461914 + ], + [ + "mili", + -11.16280746459961 + ], + [ + "8%", + -11.162972450256348 + ], + [ + "▁Andrew", + -11.163065910339355 + ], + [ + "▁spun", + -11.16321086883545 + ], + [ + "▁grass", + -11.163444519042969 + ], + [ + "unter", + -11.163474082946777 + ], + [ + "▁burn", + -11.16356086730957 + ], + [ + "▁Gegen", + -11.163601875305176 + ], + [ + "fest", + -11.163721084594727 + ], + [ + "▁Northern", + -11.163738250732422 + ], + [ + "▁consumption", + -11.163775444030762 + ], + [ + "▁bird", + -11.164069175720215 + ], + [ + "▁Miss", + -11.164369583129883 + ], + [ + "anti", + -11.16447925567627 + ], + [ + "▁viata", + -11.164583206176758 + ], + [ + "bereich", + -11.164602279663086 + ], + [ + "▁Change", + -11.164871215820312 + ], + [ + "▁pouvoir", + -11.165255546569824 + ], + [ + "▁demonstrate", + -11.165435791015625 + ], + [ + "▁requirement", + -11.165483474731445 + ], + [ + "BI", + -11.16577434539795 + ], + [ + "ied", + -11.166099548339844 + ], + [ + "▁spray", + -11.166358947753906 + ], + [ + "▁calitate", + -11.166379928588867 + ], + [ + "▁souvent", + -11.1665620803833 + ], + [ + "▁samples", + -11.166682243347168 + ], + [ + "▁compete", + -11.166930198669434 + ], + [ + "ank", + -11.166946411132812 + ], + [ + "année", + -11.167037963867188 + ], + [ + "wick", + -11.167183876037598 + ], + [ + "iff", + -11.167254447937012 + ], + [ + "noi", + -11.167255401611328 + ], + [ + "ography", + -11.167450904846191 + ], + [ + "▁SE", + -11.167508125305176 + ], + [ + "▁250", + -11.16779899597168 + ], + [ + "▁wealth", + -11.167884826660156 + ], + [ + "4%", + -11.168235778808594 + ], + [ + "▁swimming", + -11.168269157409668 + ], + [ + "enne", + -11.168338775634766 + ], + [ + "Qu", + -11.168400764465332 + ], + [ + "▁connections", + -11.168476104736328 + ], + [ + "onne", + -11.16852855682373 + ], + [ + "▁Way", + -11.168676376342773 + ], + [ + "voll", + -11.168793678283691 + ], + [ + "▁extent", + -11.169041633605957 + ], + [ + "▁objective", + -11.169572830200195 + ], + [ + "▁clinic", + -11.169581413269043 + ], + [ + "NA", + -11.169848442077637 + ], + [ + "▁Hope", + -11.170098304748535 + ], + [ + "▁coat", + -11.170331954956055 + ], + [ + "▁depend", + -11.170393943786621 + ], + [ + "▁tine", + -11.170463562011719 + ], + [ + "acc", + -11.170486450195312 + ], + [ + "▁editor", + -11.170598983764648 + ], + [ + "▁Jim", + -11.170690536499023 + ], + [ + "600", + -11.171262741088867 + ], + [ + "▁module", + -11.171302795410156 + ], + [ + "▁deja", + -11.171821594238281 + ], + [ + "atur", + -11.171841621398926 + ], + [ + "▁maintaining", + -11.171918869018555 + ], + [ + "▁hoch", + -11.172059059143066 + ], + [ + "▁covering", + -11.17239761352539 + ], + [ + "vielen", + -11.172450065612793 + ], + [ + "hem", + -11.172531127929688 + ], + [ + "▁illegal", + -11.172656059265137 + ], + [ + "▁certificate", + -11.17329216003418 + ], + [ + "▁collective", + -11.173357963562012 + ], + [ + "▁blow", + -11.17343807220459 + ], + [ + "▁programming", + -11.17343807220459 + ], + [ + "HE", + -11.173727989196777 + ], + [ + "▁Division", + -11.173842430114746 + ], + [ + "▁ceux", + -11.174081802368164 + ], + [ + "▁saved", + -11.174202919006348 + ], + [ + "▁worst", + -11.17426586151123 + ], + [ + "▁arms", + -11.17430305480957 + ], + [ + "▁Officer", + -11.17463493347168 + ], + [ + "▁association", + -11.174838066101074 + ], + [ + "ington", + -11.1749906539917 + ], + [ + "▁belle", + -11.175024032592773 + ], + [ + "tting", + -11.17537784576416 + ], + [ + "▁attacks", + -11.175446510314941 + ], + [ + "▁vei", + -11.17546558380127 + ], + [ + "▁gerade", + -11.175470352172852 + ], + [ + "▁strain", + -11.175748825073242 + ], + [ + "▁offices", + -11.1759672164917 + ], + [ + "EM", + -11.17627239227295 + ], + [ + "EST", + -11.176509857177734 + ], + [ + "-8", + -11.176758766174316 + ], + [ + "▁faculty", + -11.176998138427734 + ], + [ + "▁Plant", + -11.177046775817871 + ], + [ + "pla", + -11.177295684814453 + ], + [ + "card", + -11.177618980407715 + ], + [ + "▁loose", + -11.177982330322266 + ], + [ + "▁PR", + -11.178044319152832 + ], + [ + "profit", + -11.178071022033691 + ], + [ + "▁channels", + -11.178119659423828 + ], + [ + "ATE", + -11.178257942199707 + ], + [ + "atic", + -11.178304672241211 + ], + [ + "wegen", + -11.178404808044434 + ], + [ + "word", + -11.178621292114258 + ], + [ + "▁sehen", + -11.178659439086914 + ], + [ + "▁nombre", + -11.178744316101074 + ], + [ + "▁DO", + -11.178763389587402 + ], + [ + "▁hoping", + -11.178949356079102 + ], + [ + "▁wollen", + -11.179091453552246 + ], + [ + "▁decat", + -11.179244995117188 + ], + [ + "IF", + -11.179386138916016 + ], + [ + "▁permission", + -11.179396629333496 + ], + [ + "▁Williams", + -11.179936408996582 + ], + [ + "▁beer", + -11.179962158203125 + ], + [ + "▁dernière", + -11.180052757263184 + ], + [ + "▁purchasing", + -11.18025016784668 + ], + [ + "▁pride", + -11.180416107177734 + ], + [ + "solv", + -11.180598258972168 + ], + [ + "ego", + -11.180691719055176 + ], + [ + "▁Oil", + -11.18079662322998 + ], + [ + "▁dishes", + -11.18102741241455 + ], + [ + "▁Baby", + -11.181109428405762 + ], + [ + "▁Roll", + -11.181137084960938 + ], + [ + "vez", + -11.18134593963623 + ], + [ + "▁drept", + -11.181367874145508 + ], + [ + "lly", + -11.18148136138916 + ], + [ + "▁potrivit", + -11.181495666503906 + ], + [ + "person", + -11.181961059570312 + ], + [ + "▁interactive", + -11.182269096374512 + ], + [ + "▁brilliant", + -11.182304382324219 + ], + [ + "▁000", + -11.182357788085938 + ], + [ + "▁giant", + -11.182657241821289 + ], + [ + "▁plain", + -11.182945251464844 + ], + [ + "▁lock", + -11.183197975158691 + ], + [ + "▁inspection", + -11.183762550354004 + ], + [ + "▁symbol", + -11.18392276763916 + ], + [ + "▁Gal", + -11.183953285217285 + ], + [ + "▁concepts", + -11.1840181350708 + ], + [ + "▁venture", + -11.18411922454834 + ], + [ + "▁Tr", + -11.184402465820312 + ], + [ + "▁Color", + -11.184469223022461 + ], + [ + "▁behalf", + -11.184635162353516 + ], + [ + "ink", + -11.184715270996094 + ], + [ + "atii", + -11.1848726272583 + ], + [ + "wie", + -11.184907913208008 + ], + [ + "▁stream", + -11.18514347076416 + ], + [ + "▁buyers", + -11.185192108154297 + ], + [ + "legen", + -11.185526847839355 + ], + [ + "iness", + -11.18578815460205 + ], + [ + "▁absolute", + -11.185945510864258 + ], + [ + "▁council", + -11.186067581176758 + ], + [ + "▁displayed", + -11.186172485351562 + ], + [ + "▁Bun", + -11.186405181884766 + ], + [ + "▁darauf", + -11.186585426330566 + ], + [ + "▁rod", + -11.186829566955566 + ], + [ + "▁repeat", + -11.186898231506348 + ], + [ + "quelle", + -11.187023162841797 + ], + [ + "lation", + -11.187433242797852 + ], + [ + "gul", + -11.18774700164795 + ], + [ + "▁compensation", + -11.188064575195312 + ], + [ + "▁string", + -11.1881685256958 + ], + [ + "▁joining", + -11.188251495361328 + ], + [ + "▁Pra", + -11.188429832458496 + ], + [ + "hab", + -11.188936233520508 + ], + [ + "▁plane", + -11.189024925231934 + ], + [ + "▁conversion", + -11.189078330993652 + ], + [ + "▁lesson", + -11.189361572265625 + ], + [ + "bound", + -11.1893949508667 + ], + [ + "▁seats", + -11.18946361541748 + ], + [ + "voc", + -11.189902305603027 + ], + [ + "▁Disney", + -11.190120697021484 + ], + [ + "esse", + -11.190277099609375 + ], + [ + "▁awards", + -11.190279006958008 + ], + [ + "▁initiative", + -11.190483093261719 + ], + [ + "UM", + -11.19050407409668 + ], + [ + "▁intelligence", + -11.190763473510742 + ], + [ + "▁laser", + -11.191128730773926 + ], + [ + "än", + -11.191228866577148 + ], + [ + "▁generated", + -11.191231727600098 + ], + [ + "▁allen", + -11.19186782836914 + ], + [ + "▁Aug", + -11.19261360168457 + ], + [ + "lini", + -11.192968368530273 + ], + [ + "▁Update", + -11.193015098571777 + ], + [ + "▁grab", + -11.193095207214355 + ], + [ + "▁Bridge", + -11.193219184875488 + ], + [ + "rock", + -11.193289756774902 + ], + [ + "hold", + -11.193461418151855 + ], + [ + "seinen", + -11.193643569946289 + ], + [ + "▁false", + -11.193758010864258 + ], + [ + "type", + -11.193792343139648 + ], + [ + "▁outcome", + -11.193906784057617 + ], + [ + "▁crazy", + -11.194161415100098 + ], + [ + "▁Platz", + -11.194281578063965 + ], + [ + "▁believed", + -11.194426536560059 + ], + [ + "▁adjust", + -11.194503784179688 + ], + [ + "▁entrance", + -11.194644927978516 + ], + [ + "▁Colorado", + -11.194751739501953 + ], + [ + "▁concentration", + -11.194865226745605 + ], + [ + "aid", + -11.194958686828613 + ], + [ + "▁regardless", + -11.195035934448242 + ], + [ + "▁mici", + -11.195063591003418 + ], + [ + "▁potentially", + -11.195109367370605 + ], + [ + "▁Custom", + -11.195867538452148 + ], + [ + "rag", + -11.196009635925293 + ], + [ + "▁employer", + -11.19604206085205 + ], + [ + "tagged", + -11.196158409118652 + ], + [ + "▁34", + -11.196271896362305 + ], + [ + "fro", + -11.196895599365234 + ], + [ + "▁Pas", + -11.197010040283203 + ], + [ + "▁AS", + -11.197013854980469 + ], + [ + "PP", + -11.197031021118164 + ], + [ + "stru", + -11.19741439819336 + ], + [ + "grâce", + -11.198037147521973 + ], + [ + "▁anyway", + -11.198240280151367 + ], + [ + "▁streets", + -11.1986083984375 + ], + [ + "▁Region", + -11.199190139770508 + ], + [ + "▁newly", + -11.199280738830566 + ], + [ + "▁assistant", + -11.199461936950684 + ], + [ + "▁requests", + -11.199618339538574 + ], + [ + "▁Ohio", + -11.199705123901367 + ], + [ + "▁continuing", + -11.200072288513184 + ], + [ + "▁îm", + -11.200136184692383 + ], + [ + "7%", + -11.20031452178955 + ], + [ + "▁basically", + -11.200325965881348 + ], + [ + "gabe", + -11.200334548950195 + ], + [ + "▁ultra", + -11.200355529785156 + ], + [ + "pic", + -11.200571060180664 + ], + [ + "▁jeder", + -11.200939178466797 + ], + [ + "▁Cook", + -11.201225280761719 + ], + [ + "▁tie", + -11.201227188110352 + ], + [ + "▁yard", + -11.20151424407959 + ], + [ + "▁wash", + -11.20152759552002 + ], + [ + "▁3,", + -11.20194149017334 + ], + [ + "▁exista", + -11.202128410339355 + ], + [ + "▁egg", + -11.202342987060547 + ], + [ + "▁marché", + -11.202616691589355 + ], + [ + "kommen", + -11.202630996704102 + ], + [ + "▁Select", + -11.202999114990234 + ], + [ + "geben", + -11.203126907348633 + ], + [ + "▁Joseph", + -11.203531265258789 + ], + [ + "▁Ces", + -11.203642845153809 + ], + [ + "▁hundred", + -11.203676223754883 + ], + [ + "even", + -11.203792572021484 + ], + [ + "gal", + -11.204232215881348 + ], + [ + "800", + -11.20443058013916 + ], + [ + "▁Jones", + -11.204599380493164 + ], + [ + "ova", + -11.204681396484375 + ], + [ + "▁careful", + -11.204727172851562 + ], + [ + "▁alarm", + -11.205070495605469 + ], + [ + "NI", + -11.205113410949707 + ], + [ + "▁residence", + -11.205327987670898 + ], + [ + "▁wäre", + -11.20590877532959 + ], + [ + "▁Dor", + -11.205986976623535 + ], + [ + "▁amounts", + -11.206369400024414 + ], + [ + "▁mistake", + -11.206687927246094 + ], + [ + "ates", + -11.206796646118164 + ], + [ + "▁bune", + -11.206951141357422 + ], + [ + "▁vegetables", + -11.207124710083008 + ], + [ + "▁Ann", + -11.207204818725586 + ], + [ + "logical", + -11.20776081085205 + ], + [ + "stadt", + -11.207806587219238 + ], + [ + "▁chances", + -11.207921981811523 + ], + [ + "%)", + -11.208030700683594 + ], + [ + "▁minimal", + -11.20810604095459 + ], + [ + "▁naturally", + -11.20817756652832 + ], + [ + "▁Geld", + -11.20822525024414 + ], + [ + "▁Yu", + -11.208361625671387 + ], + [ + "▁wrap", + -11.20840072631836 + ], + [ + "rest", + -11.208674430847168 + ], + [ + "▁legs", + -11.208758354187012 + ], + [ + "PM", + -11.208806991577148 + ], + [ + "▁Heart", + -11.208888053894043 + ], + [ + "▁suspect", + -11.209020614624023 + ], + [ + "Go", + -11.209098815917969 + ], + [ + "▁Fil", + -11.209175109863281 + ], + [ + "▁YOU", + -11.209175109863281 + ], + [ + "▁victory", + -11.209245681762695 + ], + [ + "pun", + -11.20960807800293 + ], + [ + "▁Zo", + -11.209632873535156 + ], + [ + "CT", + -11.209640502929688 + ], + [ + "▁trim", + -11.20969009399414 + ], + [ + "▁stuck", + -11.209836959838867 + ], + [ + "ators", + -11.209877014160156 + ], + [ + "▁Ideas", + -11.210016250610352 + ], + [ + "▁voyage", + -11.210166931152344 + ], + [ + "▁Restaurant", + -11.210205078125 + ], + [ + "▁pat", + -11.210234642028809 + ], + [ + "▁bond", + -11.210521697998047 + ], + [ + "▁Del", + -11.210552215576172 + ], + [ + "▁fighting", + -11.210705757141113 + ], + [ + "▁concerning", + -11.210867881774902 + ], + [ + "▁etwa", + -11.211141586303711 + ], + [ + "▁Thema", + -11.211237907409668 + ], + [ + "▁preferred", + -11.211423873901367 + ], + [ + "▁pitch", + -11.211465835571289 + ], + [ + "▁Singapore", + -11.211971282958984 + ], + [ + "▁tub", + -11.212018013000488 + ], + [ + "FT", + -11.212053298950195 + ], + [ + "▁Product", + -11.21212100982666 + ], + [ + "▁applying", + -11.212285995483398 + ], + [ + "▁Fr", + -11.212340354919434 + ], + [ + "ţa", + -11.212599754333496 + ], + [ + "▁iPad", + -11.212861061096191 + ], + [ + "PD", + -11.2129545211792 + ], + [ + "▁comun", + -11.212995529174805 + ], + [ + "▁pie", + -11.213286399841309 + ], + [ + "rank", + -11.21364688873291 + ], + [ + "tron", + -11.213677406311035 + ], + [ + "▁pest", + -11.213906288146973 + ], + [ + "▁herself", + -11.213936805725098 + ], + [ + "▁intense", + -11.213964462280273 + ], + [ + "foot", + -11.21413803100586 + ], + [ + "▁1998", + -11.2141695022583 + ], + [ + "▁anxiety", + -11.214616775512695 + ], + [ + "▁portable", + -11.214674949645996 + ], + [ + "▁harm", + -11.214735984802246 + ], + [ + "▁admit", + -11.214885711669922 + ], + [ + "sted", + -11.214900016784668 + ], + [ + "▁regions", + -11.215450286865234 + ], + [ + "cie", + -11.215556144714355 + ], + [ + "▁robust", + -11.21577262878418 + ], + [ + "▁stem", + -11.215982437133789 + ], + [ + "▁roles", + -11.216024398803711 + ], + [ + "▁Latin", + -11.216224670410156 + ], + [ + "▁Ré", + -11.216378211975098 + ], + [ + "▁ref", + -11.216381072998047 + ], + [ + "isme", + -11.216426849365234 + ], + [ + "▁contribution", + -11.216776847839355 + ], + [ + "▁forever", + -11.217447280883789 + ], + [ + "▁frei", + -11.21754264831543 + ], + [ + "▁mont", + -11.217818260192871 + ], + [ + "that", + -11.217999458312988 + ], + [ + "▁sensitive", + -11.218116760253906 + ], + [ + "▁wider", + -11.218175888061523 + ], + [ + "AF", + -11.218234062194824 + ], + [ + "▁liability", + -11.218748092651367 + ], + [ + "ţiei", + -11.219043731689453 + ], + [ + "▁Cho", + -11.219260215759277 + ], + [ + "aria", + -11.21960735321045 + ], + [ + "rang", + -11.21977710723877 + ], + [ + "▁Account", + -11.21986198425293 + ], + [ + "▁III", + -11.219941139221191 + ], + [ + "▁tooth", + -11.220222473144531 + ], + [ + "▁factory", + -11.220240592956543 + ], + [ + "▁dropped", + -11.220495223999023 + ], + [ + "horn", + -11.220780372619629 + ], + [ + "RP", + -11.221110343933105 + ], + [ + "▁container", + -11.22118091583252 + ], + [ + "fran", + -11.221474647521973 + ], + [ + "▁lawyer", + -11.221842765808105 + ], + [ + "▁Image", + -11.221907615661621 + ], + [ + "HO", + -11.22195816040039 + ], + [ + "▁incorporate", + -11.221992492675781 + ], + [ + "▁lume", + -11.22226333618164 + ], + [ + "GA", + -11.222331047058105 + ], + [ + "itati", + -11.222370147705078 + ], + [ + "autre", + -11.222665786743164 + ], + [ + "ierten", + -11.222688674926758 + ], + [ + "[", + -11.222746849060059 + ], + [ + "▁packages", + -11.222758293151855 + ], + [ + "▁Simon", + -11.22290325164795 + ], + [ + "▁somewhat", + -11.223734855651855 + ], + [ + "mbo", + -11.223737716674805 + ], + [ + "lite", + -11.223844528198242 + ], + [ + "▁eliminate", + -11.22395133972168 + ], + [ + "▁decrease", + -11.224117279052734 + ], + [ + "▁geben", + -11.224214553833008 + ], + [ + "▁approaches", + -11.224482536315918 + ], + [ + "▁tissue", + -11.224940299987793 + ], + [ + "▁personne", + -11.225192070007324 + ], + [ + "ional", + -11.225587844848633 + ], + [ + "unable", + -11.2256498336792 + ], + [ + "▁Case", + -11.225736618041992 + ], + [ + "hill", + -11.225744247436523 + ], + [ + "och", + -11.225862503051758 + ], + [ + "▁minister", + -11.225920677185059 + ], + [ + "▁Rad", + -11.226285934448242 + ], + [ + "▁yoga", + -11.226390838623047 + ], + [ + "▁encounter", + -11.22661018371582 + ], + [ + "text", + -11.22670841217041 + ], + [ + "▁OS", + -11.226719856262207 + ], + [ + "▁opera", + -11.22673225402832 + ], + [ + "▁loving", + -11.226977348327637 + ], + [ + "▁birds", + -11.227363586425781 + ], + [ + "▁prim", + -11.227389335632324 + ], + [ + "easca", + -11.227432250976562 + ], + [ + "park", + -11.227453231811523 + ], + [ + "fü", + -11.227797508239746 + ], + [ + "▁champion", + -11.227824211120605 + ], + [ + "▁warning", + -11.228245735168457 + ], + [ + "DC", + -11.228271484375 + ], + [ + "▁yield", + -11.228310585021973 + ], + [ + "raum", + -11.228334426879883 + ], + [ + "▁Student", + -11.228434562683105 + ], + [ + "▁Rev", + -11.22848892211914 + ], + [ + "▁Fu", + -11.228501319885254 + ], + [ + "▁intra", + -11.22854232788086 + ], + [ + "▁proces", + -11.228585243225098 + ], + [ + "▁margin", + -11.228621482849121 + ], + [ + "lands", + -11.228816986083984 + ], + [ + "04", + -11.228952407836914 + ], + [ + "▁Steel", + -11.229897499084473 + ], + [ + "▁besoin", + -11.230081558227539 + ], + [ + "şti", + -11.230561256408691 + ], + [ + "▁39", + -11.230635643005371 + ], + [ + "▁outcomes", + -11.230677604675293 + ], + [ + "wert", + -11.230719566345215 + ], + [ + "3,", + -11.23080062866211 + ], + [ + "▁hole", + -11.230888366699219 + ], + [ + "▁Create", + -11.23096752166748 + ], + [ + "▁hall", + -11.231266975402832 + ], + [ + "nach", + -11.231595039367676 + ], + [ + "▁indicate", + -11.232311248779297 + ], + [ + "cum", + -11.232604026794434 + ], + [ + "▁Mann", + -11.232690811157227 + ], + [ + "▁reaction", + -11.232828140258789 + ], + [ + "▁empty", + -11.23289680480957 + ], + [ + "▁Sign", + -11.232941627502441 + ], + [ + "▁pm", + -11.23300838470459 + ], + [ + "erung", + -11.23322582244873 + ], + [ + "▁würde", + -11.233592987060547 + ], + [ + "▁declarat", + -11.233602523803711 + ], + [ + "6%", + -11.23371410369873 + ], + [ + "▁Client", + -11.23377513885498 + ], + [ + "vil", + -11.234295845031738 + ], + [ + "▁electricity", + -11.234469413757324 + ], + [ + "▁75", + -11.234505653381348 + ], + [ + "▁buna", + -11.234505653381348 + ], + [ + "eşte", + -11.23473834991455 + ], + [ + "▁prop", + -11.234792709350586 + ], + [ + "▁journal", + -11.234883308410645 + ], + [ + "▁meu", + -11.23495101928711 + ], + [ + "▁chef", + -11.235034942626953 + ], + [ + "▁Ever", + -11.235102653503418 + ], + [ + "▁feelings", + -11.235466003417969 + ], + [ + "PT", + -11.23551082611084 + ], + [ + "▁proposal", + -11.235651969909668 + ], + [ + "▁Its", + -11.235709190368652 + ], + [ + "▁2013.", + -11.235795974731445 + ], + [ + "▁Bundes", + -11.23595142364502 + ], + [ + "▁droit", + -11.236333847045898 + ], + [ + "▁10%", + -11.236671447753906 + ], + [ + "gard", + -11.236772537231445 + ], + [ + "information", + -11.236814498901367 + ], + [ + "FE", + -11.237309455871582 + ], + [ + "▁Dun", + -11.237340927124023 + ], + [ + "▁Stock", + -11.237472534179688 + ], + [ + "ație", + -11.2374849319458 + ], + [ + "▁mag", + -11.237603187561035 + ], + [ + "▁br", + -11.237665176391602 + ], + [ + "▁sight", + -11.237772941589355 + ], + [ + "phone", + -11.237796783447266 + ], + [ + "▁Cy", + -11.237811088562012 + ], + [ + "▁opposite", + -11.238035202026367 + ], + [ + "ically", + -11.238235473632812 + ], + [ + "großen", + -11.238388061523438 + ], + [ + "▁Without", + -11.23845100402832 + ], + [ + "espace", + -11.238515853881836 + ], + [ + "▁chairs", + -11.238595008850098 + ], + [ + "▁matches", + -11.238685607910156 + ], + [ + "ateur", + -11.238697052001953 + ], + [ + "▁Cost", + -11.238699913024902 + ], + [ + "▁WordPress", + -11.238880157470703 + ], + [ + "▁Opera", + -11.239195823669434 + ], + [ + "walked", + -11.239234924316406 + ], + [ + "▁transactions", + -11.239521026611328 + ], + [ + "▁nuclear", + -11.239579200744629 + ], + [ + "ways", + -11.239594459533691 + ], + [ + "▁Oct", + -11.239738464355469 + ], + [ + "▁bomb", + -11.239835739135742 + ], + [ + "▁tracking", + -11.239879608154297 + ], + [ + "▁photograph", + -11.240066528320312 + ], + [ + "bio", + -11.240309715270996 + ], + [ + "▁branch", + -11.240363121032715 + ], + [ + "▁$5", + -11.240684509277344 + ], + [ + "▁diagram", + -11.240986824035645 + ], + [ + "▁Hard", + -11.241218566894531 + ], + [ + "bach", + -11.241232872009277 + ], + [ + "▁42", + -11.241249084472656 + ], + [ + "logy", + -11.241472244262695 + ], + [ + "▁tile", + -11.241593360900879 + ], + [ + "▁API", + -11.241833686828613 + ], + [ + "seront", + -11.24204158782959 + ], + [ + "ENT", + -11.242156982421875 + ], + [ + "▁accommodation", + -11.242409706115723 + ], + [ + "▁fiber", + -11.242438316345215 + ], + [ + "▁Give", + -11.242792129516602 + ], + [ + "▁Gas", + -11.242916107177734 + ], + [ + "▁Spain", + -11.243086814880371 + ], + [ + "▁listing", + -11.24312686920166 + ], + [ + "▁blocks", + -11.24349308013916 + ], + [ + "▁constitu", + -11.243762969970703 + ], + [ + "▁convenience", + -11.243797302246094 + ], + [ + "▁prize", + -11.243823051452637 + ], + [ + "▁aircraft", + -11.24404239654541 + ], + [ + "containing", + -11.244124412536621 + ], + [ + "▁vice", + -11.244247436523438 + ], + [ + "▁organisations", + -11.244304656982422 + ], + [ + "▁complicated", + -11.244588851928711 + ], + [ + "rons", + -11.244647979736328 + ], + [ + "▁bars", + -11.244670867919922 + ], + [ + "était", + -11.244705200195312 + ], + [ + "▁checking", + -11.245287895202637 + ], + [ + "vant", + -11.245542526245117 + ], + [ + "▁couch", + -11.245657920837402 + ], + [ + "▁brush", + -11.245870590209961 + ], + [ + "▁printer", + -11.245922088623047 + ], + [ + "▁Rat", + -11.246051788330078 + ], + [ + "▁announce", + -11.246057510375977 + ], + [ + "▁salari", + -11.246200561523438 + ], + [ + "▁Sk", + -11.246356964111328 + ], + [ + "pal", + -11.246383666992188 + ], + [ + "▁yards", + -11.24658203125 + ], + [ + "▁flexibility", + -11.246652603149414 + ], + [ + "▁jamais", + -11.24670696258545 + ], + [ + "UC", + -11.246740341186523 + ], + [ + "▁4,", + -11.246793746948242 + ], + [ + "▁Made", + -11.247078895568848 + ], + [ + "▁solche", + -11.247113227844238 + ], + [ + "▁tri", + -11.247237205505371 + ], + [ + "▁outfit", + -11.247243881225586 + ], + [ + "м", + -11.247267723083496 + ], + [ + "▁encouraged", + -11.247477531433105 + ], + [ + "trac", + -11.247552871704102 + ], + [ + "▁genetic", + -11.24755859375 + ], + [ + "▁beneficial", + -11.247747421264648 + ], + [ + "mă", + -11.247849464416504 + ], + [ + "involving", + -11.247879028320312 + ], + [ + "▁knee", + -11.247879028320312 + ], + [ + "▁respective", + -11.248316764831543 + ], + [ + "▁controlled", + -11.248350143432617 + ], + [ + "▁Rück", + -11.24837589263916 + ], + [ + "LC", + -11.248592376708984 + ], + [ + "▁highlight", + -11.248634338378906 + ], + [ + "chem", + -11.248797416687012 + ], + [ + "▁Bis", + -11.24956226348877 + ], + [ + "▁graphics", + -11.249592781066895 + ], + [ + "▁posibil", + -11.249672889709473 + ], + [ + "orul", + -11.249682426452637 + ], + [ + "imagin", + -11.249836921691895 + ], + [ + "▁draft", + -11.250006675720215 + ], + [ + "shaped", + -11.250219345092773 + ], + [ + "▁suggests", + -11.250221252441406 + ], + [ + "uvre", + -11.250509262084961 + ], + [ + "page", + -11.250545501708984 + ], + [ + "▁sentiment", + -11.250685691833496 + ], + [ + "▁loop", + -11.251015663146973 + ], + [ + "▁Quality", + -11.251839637756348 + ], + [ + "▁volunteers", + -11.251869201660156 + ], + [ + "▁representation", + -11.251923561096191 + ], + [ + "▁examination", + -11.252134323120117 + ], + [ + "▁(2)", + -11.252225875854492 + ], + [ + "assi", + -11.252435684204102 + ], + [ + "▁till", + -11.252486228942871 + ], + [ + "▁Catholic", + -11.252618789672852 + ], + [ + "▁2020", + -11.252726554870605 + ], + [ + "▁random", + -11.252764701843262 + ], + [ + "tage", + -11.253146171569824 + ], + [ + "▁baking", + -11.253690719604492 + ], + [ + "▁Musik", + -11.253852844238281 + ], + [ + "▁SC", + -11.253867149353027 + ], + [ + "▁möchte", + -11.254390716552734 + ], + [ + "▁gene", + -11.254411697387695 + ], + [ + "▁kam", + -11.254928588867188 + ], + [ + "▁inspire", + -11.254974365234375 + ], + [ + "unk", + -11.255097389221191 + ], + [ + "▁Final", + -11.255477905273438 + ], + [ + "▁jeden", + -11.255497932434082 + ], + [ + "▁LLC", + -11.255962371826172 + ], + [ + "▁sistem", + -11.25613784790039 + ], + [ + "▁stages", + -11.256441116333008 + ], + [ + "▁texture", + -11.256613731384277 + ], + [ + "rib", + -11.256739616394043 + ], + [ + "lung", + -11.256782531738281 + ], + [ + "▁breath", + -11.256814002990723 + ], + [ + "▁hosted", + -11.256844520568848 + ], + [ + "▁Kingdom", + -11.257079124450684 + ], + [ + "▁politics", + -11.257121086120605 + ], + [ + "▁mood", + -11.257122993469238 + ], + [ + "cam", + -11.257285118103027 + ], + [ + "▁liked", + -11.257287979125977 + ], + [ + "▁Credit", + -11.257304191589355 + ], + [ + "tisch", + -11.257527351379395 + ], + [ + "▁everywhere", + -11.257692337036133 + ], + [ + "▁poti", + -11.257915496826172 + ], + [ + "▁fruits", + -11.258264541625977 + ], + [ + "oire", + -11.258322715759277 + ], + [ + "▁mesure", + -11.258586883544922 + ], + [ + "▁Studies", + -11.258838653564453 + ], + [ + "▁provision", + -11.25888729095459 + ], + [ + "▁Maria", + -11.258927345275879 + ], + [ + "▁necessarily", + -11.259103775024414 + ], + [ + "▁Net", + -11.259212493896484 + ], + [ + "▁scar", + -11.259307861328125 + ], + [ + "▁tracks", + -11.259424209594727 + ], + [ + "▁ads", + -11.259856224060059 + ], + [ + "termin", + -11.259861946105957 + ], + [ + "▁Yo", + -11.26022720336914 + ], + [ + "atory", + -11.260252952575684 + ], + [ + "itoare", + -11.26025676727295 + ], + [ + "▁colours", + -11.260563850402832 + ], + [ + "▁correctly", + -11.260817527770996 + ], + [ + "▁Trade", + -11.26090145111084 + ], + [ + "▁Week", + -11.261052131652832 + ], + [ + "▁Premier", + -11.261499404907227 + ], + [ + "▁designers", + -11.261600494384766 + ], + [ + "▁BE", + -11.261879920959473 + ], + [ + "▁desktop", + -11.261929512023926 + ], + [ + "▁lifetime", + -11.262046813964844 + ], + [ + "▁Kind", + -11.26213264465332 + ], + [ + "▁divers", + -11.262246131896973 + ], + [ + "rain", + -11.262260437011719 + ], + [ + "▁Von", + -11.262263298034668 + ], + [ + "▁bal", + -11.262568473815918 + ], + [ + "▁shots", + -11.262624740600586 + ], + [ + "▁accommodate", + -11.262767791748047 + ], + [ + "▁Paper", + -11.263001441955566 + ], + [ + "▁interaction", + -11.263191223144531 + ], + [ + "▁acquisition", + -11.263233184814453 + ], + [ + "▁neuro", + -11.26378345489502 + ], + [ + "▁institution", + -11.26391887664795 + ], + [ + "▁automatic", + -11.26403522491455 + ], + [ + "▁assess", + -11.264177322387695 + ], + [ + "▁manifest", + -11.264199256896973 + ], + [ + "▁audit", + -11.264202117919922 + ], + [ + "▁câte", + -11.264406204223633 + ], + [ + "▁insight", + -11.264533996582031 + ], + [ + "▁lange", + -11.264781951904297 + ], + [ + "▁retirement", + -11.264795303344727 + ], + [ + "sons", + -11.264864921569824 + ], + [ + "▁Asian", + -11.26492691040039 + ], + [ + "▁rail", + -11.264978408813477 + ], + [ + "▁Awards", + -11.264982223510742 + ], + [ + "Avec", + -11.265035629272461 + ], + [ + "SO", + -11.26511287689209 + ], + [ + "para", + -11.265304565429688 + ], + [ + "▁tant", + -11.265562057495117 + ], + [ + "▁strike", + -11.265693664550781 + ], + [ + "▁transformation", + -11.265742301940918 + ], + [ + "▁leicht", + -11.26586627960205 + ], + [ + "л", + -11.265996932983398 + ], + [ + "fat", + -11.26629638671875 + ], + [ + "▁Qui", + -11.266626358032227 + ], + [ + "▁chip", + -11.26663589477539 + ], + [ + "titude", + -11.266640663146973 + ], + [ + "▁Projekt", + -11.266998291015625 + ], + [ + "▁statt", + -11.267010688781738 + ], + [ + "▁findet", + -11.267184257507324 + ], + [ + "▁telephone", + -11.267251968383789 + ], + [ + "▁staying", + -11.267267227172852 + ], + [ + "▁Mess", + -11.267353057861328 + ], + [ + "▁patio", + -11.267382621765137 + ], + [ + "▁afla", + -11.267890930175781 + ], + [ + "▁administrative", + -11.267910957336426 + ], + [ + "▁gemeinsam", + -11.268129348754883 + ], + [ + "▁suppliers", + -11.268136024475098 + ], + [ + "ark", + -11.268181800842285 + ], + [ + "▁rice", + -11.268397331237793 + ], + [ + "▁stretch", + -11.268439292907715 + ], + [ + "▁compact", + -11.268651008605957 + ], + [ + "fire", + -11.268756866455078 + ], + [ + "в", + -11.268963813781738 + ], + [ + "vision", + -11.269035339355469 + ], + [ + "▁Mag", + -11.269368171691895 + ], + [ + "▁dreams", + -11.269472122192383 + ], + [ + "▁funny", + -11.26968765258789 + ], + [ + "▁lässt", + -11.270216941833496 + ], + [ + "cade", + -11.270448684692383 + ], + [ + "▁drama", + -11.270484924316406 + ], + [ + "▁schimb", + -11.270767211914062 + ], + [ + "PO", + -11.270785331726074 + ], + [ + "▁Sim", + -11.270806312561035 + ], + [ + "▁motivation", + -11.271045684814453 + ], + [ + "▁presents", + -11.27138614654541 + ], + [ + "▁1997", + -11.271828651428223 + ], + [ + "agi", + -11.271883010864258 + ], + [ + "▁optimal", + -11.27198314666748 + ], + [ + "▁folder", + -11.271995544433594 + ], + [ + "stro", + -11.272034645080566 + ], + [ + "▁Han", + -11.272072792053223 + ], + [ + "▁Ei", + -11.27220344543457 + ], + [ + "▁pus", + -11.272356986999512 + ], + [ + "▁Learning", + -11.272531509399414 + ], + [ + "oop", + -11.272603034973145 + ], + [ + "▁Type", + -11.272658348083496 + ], + [ + "space", + -11.272665023803711 + ], + [ + "▁define", + -11.273098945617676 + ], + [ + "▁plug", + -11.273098945617676 + ], + [ + "yard", + -11.273188591003418 + ], + [ + "▁utility", + -11.273297309875488 + ], + [ + "über", + -11.273561477661133 + ], + [ + "▁commun", + -11.273627281188965 + ], + [ + "▁directed", + -11.273842811584473 + ], + [ + "▁consent", + -11.273893356323242 + ], + [ + "▁DNA", + -11.274068832397461 + ], + [ + "▁statements", + -11.274130821228027 + ], + [ + "real", + -11.274298667907715 + ], + [ + "active", + -11.274430274963379 + ], + [ + "school", + -11.274965286254883 + ], + [ + "▁mic", + -11.275360107421875 + ], + [ + "▁acestui", + -11.275467872619629 + ], + [ + "scale", + -11.27550220489502 + ], + [ + "▁Mid", + -11.275628089904785 + ], + [ + "▁Chair", + -11.275874137878418 + ], + [ + "к", + -11.275936126708984 + ], + [ + "▁Bas", + -11.27630615234375 + ], + [ + "▁38", + -11.276379585266113 + ], + [ + "erin", + -11.276461601257324 + ], + [ + "▁Everyone", + -11.27686882019043 + ], + [ + "COM", + -11.276907920837402 + ], + [ + "▁chronic", + -11.277079582214355 + ], + [ + "▁doctors", + -11.277222633361816 + ], + [ + "▁sh", + -11.277276039123535 + ], + [ + "sport", + -11.27740478515625 + ], + [ + "▁volunteer", + -11.277512550354004 + ], + [ + "▁drinking", + -11.277839660644531 + ], + [ + "▁Mas", + -11.277868270874023 + ], + [ + "▁pursue", + -11.2780122756958 + ], + [ + "▁exposed", + -11.278536796569824 + ], + [ + "exe", + -11.278660774230957 + ], + [ + "hung", + -11.278841972351074 + ], + [ + "▁Tier", + -11.278921127319336 + ], + [ + "▁plac", + -11.279121398925781 + ], + [ + "▁proiect", + -11.279136657714844 + ], + [ + "▁literally", + -11.279288291931152 + ], + [ + "▁acolo", + -11.279412269592285 + ], + [ + "▁User", + -11.279485702514648 + ], + [ + "UT", + -11.279598236083984 + ], + [ + "▁hyper", + -11.279623985290527 + ], + [ + "▁seed", + -11.279794692993164 + ], + [ + "▁literature", + -11.2802734375 + ], + [ + "▁Holy", + -11.280373573303223 + ], + [ + "▁jeu", + -11.280396461486816 + ], + [ + "▁licensed", + -11.280896186828613 + ], + [ + "station", + -11.280900955200195 + ], + [ + "▁criteria", + -11.281292915344238 + ], + [ + "▁sufficient", + -11.281292915344238 + ], + [ + "▁gestion", + -11.281512260437012 + ], + [ + "▁pic", + -11.281549453735352 + ], + [ + "▁64", + -11.28170108795166 + ], + [ + "▁facts", + -11.281905174255371 + ], + [ + "▁Bild", + -11.282098770141602 + ], + [ + "obi", + -11.28212833404541 + ], + [ + "▁nie", + -11.282362937927246 + ], + [ + "▁Jewish", + -11.282756805419922 + ], + [ + "bor", + -11.28281307220459 + ], + [ + "▁1980", + -11.28286361694336 + ], + [ + "▁Fach", + -11.282917976379395 + ], + [ + "craft", + -11.283047676086426 + ], + [ + "▁Pakistan", + -11.283408164978027 + ], + [ + "▁Mos", + -11.283621788024902 + ], + [ + "▁toilet", + -11.283844947814941 + ], + [ + "partea", + -11.28391170501709 + ], + [ + "case", + -11.284221649169922 + ], + [ + "▁clock", + -11.28430461883545 + ], + [ + "▁parc", + -11.284602165222168 + ], + [ + "▁legislation", + -11.284692764282227 + ], + [ + "▁icon", + -11.284933090209961 + ], + [ + "etz", + -11.285178184509277 + ], + [ + "ept", + -11.285270690917969 + ], + [ + "▁Corporation", + -11.28585433959961 + ], + [ + "▁requested", + -11.285983085632324 + ], + [ + "▁column", + -11.286088943481445 + ], + [ + "rier", + -11.286120414733887 + ], + [ + "uß", + -11.2861967086792 + ], + [ + "▁wohl", + -11.286418914794922 + ], + [ + "tell", + -11.286569595336914 + ], + [ + "gno", + -11.286608695983887 + ], + [ + "▁diseases", + -11.286726951599121 + ], + [ + "Sch", + -11.286762237548828 + ], + [ + "▁colon", + -11.287075996398926 + ], + [ + "▁Based", + -11.28709602355957 + ], + [ + "▁flu", + -11.28725528717041 + ], + [ + "▁vocal", + -11.287408828735352 + ], + [ + "▁virus", + -11.287693977355957 + ], + [ + "▁traveling", + -11.287750244140625 + ], + [ + "bul", + -11.287837982177734 + ], + [ + "т", + -11.28794002532959 + ], + [ + "city", + -11.287961959838867 + ], + [ + "AU", + -11.287991523742676 + ], + [ + "wide", + -11.288037300109863 + ], + [ + "▁solo", + -11.288061141967773 + ], + [ + "▁functionality", + -11.288214683532715 + ], + [ + "▁reveal", + -11.28831672668457 + ], + [ + "sign", + -11.288952827453613 + ], + [ + "▁closing", + -11.288971900939941 + ], + [ + "▁peak", + -11.289087295532227 + ], + [ + "▁practic", + -11.289398193359375 + ], + [ + "than", + -11.289473533630371 + ], + [ + "▁driven", + -11.289484977722168 + ], + [ + "êtes", + -11.289548873901367 + ], + [ + "high", + -11.290016174316406 + ], + [ + "power", + -11.290226936340332 + ], + [ + "▁Lin", + -11.29028606414795 + ], + [ + "▁dose", + -11.29034423828125 + ], + [ + "▁pocket", + -11.290650367736816 + ], + [ + "▁Classic", + -11.29067611694336 + ], + [ + "▁packaging", + -11.290792465209961 + ], + [ + "▁distinct", + -11.290800094604492 + ], + [ + "▁côté", + -11.291094779968262 + ], + [ + "▁breast", + -11.29127025604248 + ], + [ + "▁folosit", + -11.29133129119873 + ], + [ + "▁drinks", + -11.291353225708008 + ], + [ + "▁Dog", + -11.291529655456543 + ], + [ + "ailleurs", + -11.291658401489258 + ], + [ + "▁caz", + -11.291804313659668 + ], + [ + "▁escape", + -11.29188346862793 + ], + [ + "▁warranty", + -11.291902542114258 + ], + [ + "▁pulled", + -11.291996955871582 + ], + [ + "data", + -11.292088508605957 + ], + [ + "▁facilitate", + -11.292213439941406 + ], + [ + "É", + -11.292335510253906 + ], + [ + "▁SP", + -11.292403221130371 + ], + [ + "lant", + -11.292557716369629 + ], + [ + "AD", + -11.29256534576416 + ], + [ + "▁Print", + -11.292802810668945 + ], + [ + "mond", + -11.292863845825195 + ], + [ + "▁strange", + -11.292875289916992 + ], + [ + "▁Hor", + -11.293227195739746 + ], + [ + "▁Collection", + -11.293328285217285 + ], + [ + "arm", + -11.29346752166748 + ], + [ + "cas", + -11.293691635131836 + ], + [ + "arrow", + -11.29379940032959 + ], + [ + "▁carrying", + -11.293927192687988 + ], + [ + "▁wave", + -11.294661521911621 + ], + [ + "setzt", + -11.294907569885254 + ], + [ + "▁construct", + -11.29514217376709 + ], + [ + "▁acts", + -11.295269966125488 + ], + [ + "▁Action", + -11.295342445373535 + ], + [ + "▁Kim", + -11.295354843139648 + ], + [ + "oxid", + -11.295459747314453 + ], + [ + "fish", + -11.295519828796387 + ], + [ + "▁damaged", + -11.295660018920898 + ], + [ + "▁Greek", + -11.295747756958008 + ], + [ + "▁belt", + -11.295772552490234 + ], + [ + "▁Prior", + -11.295778274536133 + ], + [ + "▁marks", + -11.295936584472656 + ], + [ + "▁lumea", + -11.296183586120605 + ], + [ + "▁twenty", + -11.296196937561035 + ], + [ + "▁locul", + -11.296360969543457 + ], + [ + "▁Army", + -11.296524047851562 + ], + [ + "apt", + -11.296602249145508 + ], + [ + "▁limits", + -11.296733856201172 + ], + [ + "▁cruise", + -11.296966552734375 + ], + [ + "▁List", + -11.296998023986816 + ], + [ + "utilisation", + -11.29753589630127 + ], + [ + "▁personality", + -11.297622680664062 + ], + [ + "▁sections", + -11.297759056091309 + ], + [ + "▁drawn", + -11.29797649383545 + ], + [ + "▁mold", + -11.298277854919434 + ], + [ + "▁Think", + -11.298333168029785 + ], + [ + "▁holidays", + -11.298355102539062 + ], + [ + "▁critic", + -11.298545837402344 + ], + [ + "grade", + -11.298660278320312 + ], + [ + "▁sick", + -11.299074172973633 + ], + [ + "▁characteristics", + -11.299237251281738 + ], + [ + "▁echipa", + -11.299272537231445 + ], + [ + "▁Fast", + -11.29929256439209 + ], + [ + "▁Br", + -11.299600601196289 + ], + [ + "▁Reise", + -11.299734115600586 + ], + [ + "teen", + -11.299749374389648 + ], + [ + "uci", + -11.299949645996094 + ], + [ + "!”", + -11.300180435180664 + ], + [ + "ppe", + -11.300532341003418 + ], + [ + "▁talked", + -11.301164627075195 + ], + [ + "▁gap", + -11.301473617553711 + ], + [ + "homme", + -11.301778793334961 + ], + [ + "▁interact", + -11.301934242248535 + ], + [ + "▁dollar", + -11.302276611328125 + ], + [ + "▁bone", + -11.302309036254883 + ], + [ + "▁Einsatz", + -11.302343368530273 + ], + [ + "▁sad", + -11.302434921264648 + ], + [ + "any", + -11.302445411682129 + ], + [ + "tation", + -11.302666664123535 + ], + [ + "▁Haupt", + -11.302748680114746 + ], + [ + "iva", + -11.302781105041504 + ], + [ + "▁Schu", + -11.302916526794434 + ], + [ + "▁evaluate", + -11.3036470413208 + ], + [ + "▁variant", + -11.303807258605957 + ], + [ + "▁IS", + -11.303879737854004 + ], + [ + "▁PRO", + -11.303947448730469 + ], + [ + "▁vine", + -11.303959846496582 + ], + [ + "rut", + -11.304062843322754 + ], + [ + "▁existence", + -11.30443286895752 + ], + [ + "-7", + -11.304525375366211 + ], + [ + "ancy", + -11.304702758789062 + ], + [ + "▁Want", + -11.305023193359375 + ], + [ + "alism", + -11.305127143859863 + ], + [ + "ranging", + -11.30550765991211 + ], + [ + "preis", + -11.305551528930664 + ], + [ + "All", + -11.305620193481445 + ], + [ + "▁reception", + -11.30565071105957 + ], + [ + "mai", + -11.305730819702148 + ], + [ + "▁lease", + -11.30577278137207 + ], + [ + "▁finest", + -11.30578899383545 + ], + [ + "▁evident", + -11.305874824523926 + ], + [ + "▁Easy", + -11.306075096130371 + ], + [ + "▁gilt", + -11.306085586547852 + ], + [ + "▁trips", + -11.306344985961914 + ], + [ + "▁skilled", + -11.306368827819824 + ], + [ + "consists", + -11.306456565856934 + ], + [ + "front", + -11.306635856628418 + ], + [ + "rati", + -11.306652069091797 + ], + [ + "▁Following", + -11.30678653717041 + ], + [ + "▁Medicine", + -11.307161331176758 + ], + [ + "▁pune", + -11.30729866027832 + ], + [ + "▁errors", + -11.307354927062988 + ], + [ + "arian", + -11.307613372802734 + ], + [ + "lib", + -11.30811882019043 + ], + [ + "SR", + -11.308351516723633 + ], + [ + "ML", + -11.308568000793457 + ], + [ + "▁Safety", + -11.308823585510254 + ], + [ + "▁clar", + -11.309355735778809 + ], + [ + "New", + -11.309764862060547 + ], + [ + "▁37", + -11.309773445129395 + ], + [ + "▁Administration", + -11.309823036193848 + ], + [ + "▁2.0", + -11.310120582580566 + ], + [ + "▁obviously", + -11.310196876525879 + ], + [ + "▁Mitarbeiter", + -11.310254096984863 + ], + [ + "▁improvements", + -11.31043529510498 + ], + [ + "▁Cut", + -11.310630798339844 + ], + [ + "▁Natural", + -11.310672760009766 + ], + [ + "▁arrival", + -11.311182975769043 + ], + [ + "▁pizza", + -11.311339378356934 + ], + [ + "eşti", + -11.311570167541504 + ], + [ + "cept", + -11.311654090881348 + ], + [ + "▁livre", + -11.311686515808105 + ], + [ + "▁nombreux", + -11.312195777893066 + ], + [ + "▁authentic", + -11.312231063842773 + ], + [ + "▁gemacht", + -11.312472343444824 + ], + [ + "▁broadcast", + -11.312478065490723 + ], + [ + "▁stronger", + -11.312545776367188 + ], + [ + "UP", + -11.31257152557373 + ], + [ + "▁centers", + -11.312614440917969 + ], + [ + "▁petite", + -11.312617301940918 + ], + [ + "▁spots", + -11.312626838684082 + ], + [ + "▁crystal", + -11.312756538391113 + ], + [ + "▁salon", + -11.313044548034668 + ], + [ + "▁gained", + -11.313098907470703 + ], + [ + "▁Mus", + -11.313215255737305 + ], + [ + "▁lens", + -11.313223838806152 + ], + [ + "▁ihm", + -11.313231468200684 + ], + [ + "minute", + -11.313573837280273 + ], + [ + "▁greatly", + -11.313587188720703 + ], + [ + "LP", + -11.31361198425293 + ], + [ + "rait", + -11.314027786254883 + ], + [ + "▁bid", + -11.314154624938965 + ], + [ + "▁cit", + -11.314203262329102 + ], + [ + "entreprise", + -11.31435775756836 + ], + [ + "▁55", + -11.314533233642578 + ], + [ + "▁respectively", + -11.314536094665527 + ], + [ + "▁lo", + -11.314638137817383 + ], + [ + "▁cons", + -11.314743995666504 + ], + [ + "▁Energie", + -11.315169334411621 + ], + [ + "▁OK", + -11.31521224975586 + ], + [ + "▁grill", + -11.315338134765625 + ], + [ + "▁heading", + -11.31549072265625 + ], + [ + "▁sollten", + -11.315491676330566 + ], + [ + "▁Fragen", + -11.315528869628906 + ], + [ + "▁Poli", + -11.315556526184082 + ], + [ + "▁studying", + -11.315723419189453 + ], + [ + "▁développement", + -11.315882682800293 + ], + [ + "▁foam", + -11.316035270690918 + ], + [ + "▁1996", + -11.316511154174805 + ], + [ + "▁disaster", + -11.31662654876709 + ], + [ + "▁cafe", + -11.317262649536133 + ], + [ + "▁moves", + -11.317267417907715 + ], + [ + "focuses", + -11.317712783813477 + ], + [ + "▁Avenue", + -11.317834854125977 + ], + [ + "▁humans", + -11.31784439086914 + ], + [ + "▁(3", + -11.318021774291992 + ], + [ + "▁région", + -11.318347930908203 + ], + [ + "▁DJ", + -11.318608283996582 + ], + [ + "shop", + -11.318819046020508 + ], + [ + "▁acting", + -11.318843841552734 + ], + [ + "▁Justice", + -11.318967819213867 + ], + [ + "▁trouve", + -11.319010734558105 + ], + [ + "▁Estate", + -11.319040298461914 + ], + [ + "▁strict", + -11.319231986999512 + ], + [ + "▁talks", + -11.319283485412598 + ], + [ + "▁mat", + -11.319290161132812 + ], + [ + "▁completion", + -11.319327354431152 + ], + [ + "delivering", + -11.31943416595459 + ], + [ + "CD", + -11.31973934173584 + ], + [ + "0%", + -11.319960594177246 + ], + [ + "▁creativity", + -11.320253372192383 + ], + [ + "BR", + -11.320272445678711 + ], + [ + "▁occurred", + -11.320357322692871 + ], + [ + "Car", + -11.320590019226074 + ], + [ + "▁rising", + -11.320761680603027 + ], + [ + "gger", + -11.32086181640625 + ], + [ + "▁Gene", + -11.320901870727539 + ], + [ + "▁workplace", + -11.320914268493652 + ], + [ + "phy", + -11.321065902709961 + ], + [ + "▁Bla", + -11.32107162475586 + ], + [ + "▁trailer", + -11.32120418548584 + ], + [ + "▁Forest", + -11.321205139160156 + ], + [ + "▁profession", + -11.321246147155762 + ], + [ + "▁Father", + -11.32137680053711 + ], + [ + "flu", + -11.321487426757812 + ], + [ + "tone", + -11.321489334106445 + ], + [ + "▁sexual", + -11.321736335754395 + ], + [ + "▁Map", + -11.321805953979492 + ], + [ + "OT", + -11.3218412399292 + ], + [ + "▁Us", + -11.321878433227539 + ], + [ + "tôt", + -11.321892738342285 + ], + [ + "▁Wert", + -11.321901321411133 + ], + [ + "preparing", + -11.322121620178223 + ], + [ + "isé", + -11.322243690490723 + ], + [ + "▁lake", + -11.322461128234863 + ], + [ + "eed", + -11.32270336151123 + ], + [ + "jun", + -11.322888374328613 + ], + [ + "▁implemented", + -11.323014259338379 + ], + [ + "vid", + -11.323116302490234 + ], + [ + "igne", + -11.323201179504395 + ], + [ + "▁follows", + -11.323214530944824 + ], + [ + "▁Eric", + -11.323430061340332 + ], + [ + "body", + -11.323530197143555 + ], + [ + "▁contained", + -11.323585510253906 + ], + [ + "▁massage", + -11.323715209960938 + ], + [ + "AV", + -11.323725700378418 + ], + [ + "▁insa", + -11.323850631713867 + ], + [ + "▁observed", + -11.323892593383789 + ], + [ + "▁marque", + -11.324137687683105 + ], + [ + "lines", + -11.324451446533203 + ], + [ + "▁Frage", + -11.324482917785645 + ], + [ + "largely", + -11.324647903442383 + ], + [ + "gegeben", + -11.32473087310791 + ], + [ + "▁colleagues", + -11.324762344360352 + ], + [ + "pha", + -11.32494068145752 + ], + [ + "▁representative", + -11.325217247009277 + ], + [ + "▁shut", + -11.325650215148926 + ], + [ + "▁secondary", + -11.325779914855957 + ], + [ + "▁exhibit", + -11.325927734375 + ], + [ + "1)", + -11.325932502746582 + ], + [ + "mid", + -11.326109886169434 + ], + [ + "▁Due", + -11.326229095458984 + ], + [ + "▁initiatives", + -11.326457023620605 + ], + [ + "▁occurs", + -11.326458930969238 + ], + [ + "lent", + -11.326478958129883 + ], + [ + "▁façon", + -11.326778411865234 + ], + [ + "▁iOS", + -11.326803207397461 + ], + [ + "▁exploring", + -11.327000617980957 + ], + [ + "▁stations", + -11.327103614807129 + ], + [ + "nton", + -11.327234268188477 + ], + [ + "▁Country", + -11.32729721069336 + ], + [ + "▁shouldn", + -11.327406883239746 + ], + [ + "▁casual", + -11.327611923217773 + ], + [ + "-18", + -11.32769775390625 + ], + [ + "▁maintained", + -11.32772445678711 + ], + [ + "▁cart", + -11.327790260314941 + ], + [ + "▁propre", + -11.327836036682129 + ], + [ + "▁asset", + -11.327948570251465 + ], + [ + "firm", + -11.32803726196289 + ], + [ + "gla", + -11.328231811523438 + ], + [ + "viv", + -11.3282470703125 + ], + [ + "▁scientists", + -11.328873634338379 + ], + [ + "▁Nor", + -11.328936576843262 + ], + [ + "ites", + -11.329320907592773 + ], + [ + "▁engaging", + -11.329933166503906 + ], + [ + "My", + -11.330178260803223 + ], + [ + "▁workshops", + -11.330282211303711 + ], + [ + "ffer", + -11.3303804397583 + ], + [ + "activité", + -11.33047103881836 + ], + [ + "▁tension", + -11.330567359924316 + ], + [ + "▁dual", + -11.330668449401855 + ], + [ + "uer", + -11.33084774017334 + ], + [ + "900", + -11.330941200256348 + ], + [ + "SF", + -11.33108139038086 + ], + [ + "▁kannst", + -11.331146240234375 + ], + [ + "▁bur", + -11.33115291595459 + ], + [ + "▁visitor", + -11.331156730651855 + ], + [ + "▁granted", + -11.331178665161133 + ], + [ + "▁union", + -11.331355094909668 + ], + [ + "▁tablet", + -11.331461906433105 + ], + [ + "▁Choose", + -11.33146858215332 + ], + [ + "ibil", + -11.331551551818848 + ], + [ + "▁settlement", + -11.331830978393555 + ], + [ + "genommen", + -11.331892967224121 + ], + [ + "▁marked", + -11.332956314086914 + ], + [ + "▁diagnostic", + -11.333370208740234 + ], + [ + "▁prayer", + -11.333529472351074 + ], + [ + "▁Toronto", + -11.334035873413086 + ], + [ + "trans", + -11.334146499633789 + ], + [ + "▁respectiv", + -11.334160804748535 + ], + [ + "▁2012.", + -11.334207534790039 + ], + [ + "icul", + -11.334394454956055 + ], + [ + "▁satisfied", + -11.334527969360352 + ], + [ + "▁Fla", + -11.334596633911133 + ], + [ + "▁estimate", + -11.334638595581055 + ], + [ + "▁Agency", + -11.33466911315918 + ], + [ + "OD", + -11.334708213806152 + ], + [ + "▁McC", + -11.334746360778809 + ], + [ + "bert", + -11.334748268127441 + ], + [ + "▁seal", + -11.334771156311035 + ], + [ + "aine", + -11.334839820861816 + ], + [ + "▁cauza", + -11.334848403930664 + ], + [ + "▁wallpaper", + -11.335081100463867 + ], + [ + "▁alb", + -11.33536434173584 + ], + [ + "▁Sound", + -11.335681915283203 + ], + [ + "worth", + -11.33572769165039 + ], + [ + "chten", + -11.335858345031738 + ], + [ + "programm", + -11.335896492004395 + ], + [ + "▁pounds", + -11.336215019226074 + ], + [ + "▁coaching", + -11.336278915405273 + ], + [ + "▁Furthermore", + -11.336454391479492 + ], + [ + "▁Korea", + -11.336471557617188 + ], + [ + "▁flour", + -11.336530685424805 + ], + [ + "▁sommes", + -11.33657169342041 + ], + [ + "▁Repair", + -11.33661937713623 + ], + [ + "”)", + -11.336642265319824 + ], + [ + "itch", + -11.336675643920898 + ], + [ + "blu", + -11.336786270141602 + ], + [ + "zar", + -11.336882591247559 + ], + [ + "▁diferite", + -11.33745002746582 + ], + [ + "▁Golf", + -11.337685585021973 + ], + [ + "arch", + -11.33772087097168 + ], + [ + "▁panels", + -11.337799072265625 + ], + [ + "jan", + -11.337956428527832 + ], + [ + "“.", + -11.338240623474121 + ], + [ + "izarea", + -11.338324546813965 + ], + [ + "▁golden", + -11.33854866027832 + ], + [ + "▁flying", + -11.338550567626953 + ], + [ + "▁museum", + -11.338700294494629 + ], + [ + "▁equivalent", + -11.338759422302246 + ], + [ + "▁Lang", + -11.339032173156738 + ], + [ + "schi", + -11.339539527893066 + ], + [ + "MI", + -11.339595794677734 + ], + [ + "▁faci", + -11.339838027954102 + ], + [ + "▁Rahmen", + -11.339988708496094 + ], + [ + "▁attending", + -11.340130805969238 + ], + [ + "′′", + -11.340483665466309 + ], + [ + "▁Tro", + -11.341070175170898 + ], + [ + "▁gaming", + -11.341447830200195 + ], + [ + "▁aujourd", + -11.341479301452637 + ], + [ + "▁Wochen", + -11.341526985168457 + ], + [ + "▁entering", + -11.341535568237305 + ], + [ + "its", + -11.34155559539795 + ], + [ + "▁Private", + -11.341866493225098 + ], + [ + "▁Ocean", + -11.34188175201416 + ], + [ + "▁01", + -11.342098236083984 + ], + [ + "▁coloring", + -11.342188835144043 + ], + [ + "ător", + -11.34253215789795 + ], + [ + "▁flooring", + -11.342548370361328 + ], + [ + "▁downtown", + -11.34276294708252 + ], + [ + "rab", + -11.342998504638672 + ], + [ + "HI", + -11.343221664428711 + ], + [ + "▁illness", + -11.343234062194824 + ], + [ + "▁whil", + -11.343307495117188 + ], + [ + "▁diamond", + -11.34333324432373 + ], + [ + "Mail", + -11.343419075012207 + ], + [ + "▁Dream", + -11.34344482421875 + ], + [ + "▁Golden", + -11.344099044799805 + ], + [ + "▁rein", + -11.344220161437988 + ], + [ + "▁hi", + -11.344283103942871 + ], + [ + "▁expressed", + -11.344489097595215 + ], + [ + "▁luat", + -11.344511985778809 + ], + [ + "▁Share", + -11.34453010559082 + ], + [ + "▁Programm", + -11.344706535339355 + ], + [ + "▁Sales", + -11.344707489013672 + ], + [ + "▁prof", + -11.344890594482422 + ], + [ + "▁MO", + -11.34505844116211 + ], + [ + "▁Short", + -11.345088958740234 + ], + [ + "▁charm", + -11.345290184020996 + ], + [ + "▁Cer", + -11.345373153686523 + ], + [ + "▁Run", + -11.34553337097168 + ], + [ + "▁tutorial", + -11.345589637756348 + ], + [ + "oul", + -11.34561824798584 + ], + [ + "▁Fest", + -11.345794677734375 + ], + [ + "▁uniform", + -11.345929145812988 + ], + [ + "aß", + -11.346014976501465 + ], + [ + "▁pipe", + -11.346076965332031 + ], + [ + "▁Square", + -11.346283912658691 + ], + [ + "▁Kosten", + -11.346365928649902 + ], + [ + "▁checked", + -11.346590042114258 + ], + [ + "▁65", + -11.346626281738281 + ], + [ + "▁Adam", + -11.346686363220215 + ], + [ + "cel", + -11.346700668334961 + ], + [ + "ello", + -11.346965789794922 + ], + [ + "▁Res", + -11.347023963928223 + ], + [ + "▁drain", + -11.34708309173584 + ], + [ + "ză", + -11.347129821777344 + ], + [ + "▁Tech", + -11.34739875793457 + ], + [ + "▁strive", + -11.34749698638916 + ], + [ + "cycl", + -11.347506523132324 + ], + [ + "▁stark", + -11.347541809082031 + ], + [ + "load", + -11.34754753112793 + ], + [ + "▁Stat", + -11.347589492797852 + ], + [ + "▁Rec", + -11.347622871398926 + ], + [ + "ians", + -11.347716331481934 + ], + [ + "▁Tin", + -11.347738265991211 + ], + [ + "▁Agreement", + -11.347840309143066 + ], + [ + "▁pret", + -11.348027229309082 + ], + [ + "-9", + -11.348326683044434 + ], + [ + "▁sentence", + -11.348380088806152 + ], + [ + "▁Direct", + -11.348426818847656 + ], + [ + "▁Rep", + -11.348465919494629 + ], + [ + "▁Prozent", + -11.348799705505371 + ], + [ + "▁invitation", + -11.34882640838623 + ], + [ + "▁refund", + -11.349113464355469 + ], + [ + "▁Kids", + -11.349287986755371 + ], + [ + "stock", + -11.349383354187012 + ], + [ + "TP", + -11.349400520324707 + ], + [ + "▁tau", + -11.34941291809082 + ], + [ + "from", + -11.349421501159668 + ], + [ + "▁Ash", + -11.349451065063477 + ], + [ + "store", + -11.349535942077637 + ], + [ + "▁Common", + -11.34958553314209 + ], + [ + "▁Qualität", + -11.34968376159668 + ], + [ + "▁strongly", + -11.349727630615234 + ], + [ + "▁importante", + -11.34979248046875 + ], + [ + "ome", + -11.349912643432617 + ], + [ + "▁surtout", + -11.349946022033691 + ], + [ + "enables", + -11.35020637512207 + ], + [ + "▁decent", + -11.350221633911133 + ], + [ + "▁neutral", + -11.350237846374512 + ], + [ + "▁produs", + -11.350356101989746 + ], + [ + "bury", + -11.350451469421387 + ], + [ + "▁Level", + -11.350618362426758 + ], + [ + "▁interes", + -11.350699424743652 + ], + [ + "mov", + -11.350797653198242 + ], + [ + "▁backup", + -11.350939750671387 + ], + [ + "même", + -11.351094245910645 + ], + [ + "doc", + -11.351119041442871 + ], + [ + "▁#1", + -11.35130786895752 + ], + [ + "▁specified", + -11.351495742797852 + ], + [ + "▁founder", + -11.351655960083008 + ], + [ + "And", + -11.352090835571289 + ], + [ + "isten", + -11.352149963378906 + ], + [ + "▁lecture", + -11.352729797363281 + ], + [ + "▁wake", + -11.352895736694336 + ], + [ + "▁vraiment", + -11.352980613708496 + ], + [ + "▁swing", + -11.353188514709473 + ], + [ + "▁addresses", + -11.353275299072266 + ], + [ + "▁Verfügung", + -11.353504180908203 + ], + [ + "▁deadline", + -11.353761672973633 + ], + [ + "н", + -11.353791236877441 + ], + [ + "▁Content", + -11.353970527648926 + ], + [ + "▁Gre", + -11.354111671447754 + ], + [ + "▁Experience", + -11.354378700256348 + ], + [ + "tura", + -11.354458808898926 + ], + [ + "▁exit", + -11.354642868041992 + ], + [ + "▁Britain", + -11.354652404785156 + ], + [ + "▁Sunt", + -11.354684829711914 + ], + [ + "▁documentation", + -11.354690551757812 + ], + [ + "▁showcase", + -11.3547945022583 + ], + [ + "▁photographs", + -11.354822158813477 + ], + [ + "qué", + -11.35483169555664 + ], + [ + "zin", + -11.354909896850586 + ], + [ + "pres", + -11.354933738708496 + ], + [ + "▁decline", + -11.354955673217773 + ], + [ + "▁Large", + -11.355030059814453 + ], + [ + "▁bills", + -11.355141639709473 + ], + [ + "▁entitled", + -11.355222702026367 + ], + [ + "▁passionate", + -11.355393409729004 + ], + [ + "▁workout", + -11.355413436889648 + ], + [ + "▁Again", + -11.35560417175293 + ], + [ + "▁Haut", + -11.35582160949707 + ], + [ + "▁guaranteed", + -11.35599136352539 + ], + [ + "▁vue", + -11.35600471496582 + ], + [ + "▁farmers", + -11.356224060058594 + ], + [ + "▁admission", + -11.356500625610352 + ], + [ + "▁manière", + -11.357080459594727 + ], + [ + "▁reverse", + -11.357121467590332 + ], + [ + "▁FL", + -11.357142448425293 + ], + [ + "▁terminal", + -11.357206344604492 + ], + [ + "GI", + -11.35731029510498 + ], + [ + "▁speakers", + -11.35739803314209 + ], + [ + "▁responses", + -11.357398986816406 + ], + [ + "▁Doch", + -11.357457160949707 + ], + [ + "▁2013,", + -11.357717514038086 + ], + [ + "▁phones", + -11.357789993286133 + ], + [ + "ential", + -11.357851028442383 + ], + [ + "▁operator", + -11.357916831970215 + ], + [ + "▁steam", + -11.358036994934082 + ], + [ + "burn", + -11.358091354370117 + ], + [ + "▁seul", + -11.35815715789795 + ], + [ + "▁unusual", + -11.358322143554688 + ], + [ + "▁educate", + -11.358403205871582 + ], + [ + "▁Que", + -11.358680725097656 + ], + [ + "▁believes", + -11.359137535095215 + ], + [ + "▁succeed", + -11.359344482421875 + ], + [ + "▁delay", + -11.359533309936523 + ], + [ + "▁deeper", + -11.359633445739746 + ], + [ + "▁reaching", + -11.359890937805176 + ], + [ + "▁objectives", + -11.360086441040039 + ], + [ + "▁temporary", + -11.36028003692627 + ], + [ + "▁artistic", + -11.360421180725098 + ], + [ + "▁sou", + -11.360471725463867 + ], + [ + "▁transparent", + -11.36062240600586 + ], + [ + "There", + -11.360798835754395 + ], + [ + "ception", + -11.360836029052734 + ], + [ + "▁excess", + -11.360939979553223 + ], + [ + "▁gathering", + -11.361008644104004 + ], + [ + "▁Save", + -11.361095428466797 + ], + [ + "ază", + -11.361166000366211 + ], + [ + "▁français", + -11.361197471618652 + ], + [ + "▁laid", + -11.361210823059082 + ], + [ + "▁modul", + -11.361394882202148 + ], + [ + "avoir", + -11.361465454101562 + ], + [ + "under", + -11.362113952636719 + ], + [ + "dding", + -11.362226486206055 + ], + [ + "▁falls", + -11.362232208251953 + ], + [ + "▁Möglichkeit", + -11.362369537353516 + ], + [ + "▁ceremony", + -11.362370491027832 + ], + [ + "rai", + -11.36237621307373 + ], + [ + "▁Bor", + -11.362709045410156 + ], + [ + "▁Below", + -11.362750053405762 + ], + [ + "4)", + -11.362759590148926 + ], + [ + "▁Field", + -11.362833023071289 + ], + [ + "wear", + -11.362935066223145 + ], + [ + "motion", + -11.362948417663574 + ], + [ + "print", + -11.363311767578125 + ], + [ + "game", + -11.363360404968262 + ], + [ + "▁Irish", + -11.363458633422852 + ], + [ + "▁Las", + -11.363458633422852 + ], + [ + "Among", + -11.363570213317871 + ], + [ + "atori", + -11.363580703735352 + ], + [ + "▁ajuns", + -11.363837242126465 + ], + [ + "▁alive", + -11.363860130310059 + ], + [ + "▁retour", + -11.363900184631348 + ], + [ + "▁smoke", + -11.3640775680542 + ], + [ + "▁math", + -11.364285469055176 + ], + [ + "▁Ye", + -11.364337921142578 + ], + [ + "▁Denn", + -11.36436653137207 + ], + [ + "▁1995", + -11.364412307739258 + ], + [ + "▁bani", + -11.364644050598145 + ], + [ + "raz", + -11.364998817443848 + ], + [ + "world", + -11.365026473999023 + ], + [ + "▁engines", + -11.365140914916992 + ], + [ + "nehmen", + -11.365192413330078 + ], + [ + "stor", + -11.365328788757324 + ], + [ + "▁interpret", + -11.365403175354004 + ], + [ + "▁Ven", + -11.365489959716797 + ], + [ + "▁cotton", + -11.365622520446777 + ], + [ + "▁represented", + -11.366004943847656 + ], + [ + "▁fabulous", + -11.366166114807129 + ], + [ + "▁gender", + -11.366301536560059 + ], + [ + "Mar", + -11.366668701171875 + ], + [ + "vic", + -11.366991996765137 + ], + [ + "▁newsletter", + -11.367432594299316 + ], + [ + "sburg", + -11.367574691772461 + ], + [ + "pond", + -11.36838436126709 + ], + [ + "▁Carl", + -11.368454933166504 + ], + [ + "▁bunch", + -11.368714332580566 + ], + [ + "▁tower", + -11.368847846984863 + ], + [ + "▁trigger", + -11.368976593017578 + ], + [ + "▁explanation", + -11.369091033935547 + ], + [ + "Man", + -11.369114875793457 + ], + [ + "iunea", + -11.369168281555176 + ], + [ + "▁announcement", + -11.369492530822754 + ], + [ + "▁seeds", + -11.36952018737793 + ], + [ + "▁shell", + -11.369865417480469 + ], + [ + "▁Working", + -11.36989688873291 + ], + [ + "viz", + -11.370267868041992 + ], + [ + "▁Simply", + -11.370329856872559 + ], + [ + "sub", + -11.37037181854248 + ], + [ + "▁Village", + -11.37060832977295 + ], + [ + "▁falling", + -11.370742797851562 + ], + [ + "▁fits", + -11.37084674835205 + ], + [ + "▁wichtig", + -11.37088394165039 + ], + [ + "▁Down", + -11.37108039855957 + ], + [ + "bble", + -11.371573448181152 + ], + [ + "▁Orange", + -11.37165641784668 + ], + [ + "promoting", + -11.371932029724121 + ], + [ + "▁rapidly", + -11.37217903137207 + ], + [ + "▁translation", + -11.372330665588379 + ], + [ + "nig", + -11.3723726272583 + ], + [ + "fusion", + -11.37240982055664 + ], + [ + "kosten", + -11.372611045837402 + ], + [ + "2)", + -11.372783660888672 + ], + [ + "▁Express", + -11.372958183288574 + ], + [ + "▁Sw", + -11.373003959655762 + ], + [ + "▁frequency", + -11.373086929321289 + ], + [ + "▁diversity", + -11.373348236083984 + ], + [ + "MT", + -11.373452186584473 + ], + [ + "▁bekannt", + -11.373530387878418 + ], + [ + "lion", + -11.373871803283691 + ], + [ + "▁cop", + -11.37393856048584 + ], + [ + "▁Customer", + -11.374072074890137 + ], + [ + "▁demands", + -11.374427795410156 + ], + [ + "▁corn", + -11.374516487121582 + ], + [ + "▁Hamburg", + -11.374551773071289 + ], + [ + "SD", + -11.374628067016602 + ], + [ + "▁Rome", + -11.374677658081055 + ], + [ + "▁Pur", + -11.374750137329102 + ], + [ + "▁stamp", + -11.374885559082031 + ], + [ + "▁grateful", + -11.374967575073242 + ], + [ + "RM", + -11.37511157989502 + ], + [ + "▁Pl", + -11.37511920928955 + ], + [ + "▁Tele", + -11.375154495239258 + ], + [ + "▁plugin", + -11.375492095947266 + ], + [ + "▁maxim", + -11.375675201416016 + ], + [ + "▁Hoch", + -11.37574577331543 + ], + [ + "igung", + -11.375823020935059 + ], + [ + "▁Entwicklung", + -11.375858306884766 + ], + [ + "▁File", + -11.375931739807129 + ], + [ + "▁Eastern", + -11.376070022583008 + ], + [ + "▁scrap", + -11.376331329345703 + ], + [ + "▁acquired", + -11.376338958740234 + ], + [ + "sau", + -11.376364707946777 + ], + [ + "▁Klein", + -11.376452445983887 + ], + [ + "▁milioane", + -11.376492500305176 + ], + [ + "▁Stand", + -11.376693725585938 + ], + [ + "▁childhood", + -11.37671184539795 + ], + [ + "▁artificial", + -11.376752853393555 + ], + [ + "▁substantial", + -11.376851081848145 + ], + [ + "druck", + -11.377315521240234 + ], + [ + "▁Kra", + -11.377562522888184 + ], + [ + "▁performances", + -11.377645492553711 + ], + [ + "▁row", + -11.377824783325195 + ], + [ + "NT", + -11.377899169921875 + ], + [ + "mod", + -11.377904891967773 + ], + [ + "remained", + -11.378399848937988 + ], + [ + "▁nimic", + -11.378462791442871 + ], + [ + "▁Limited", + -11.378555297851562 + ], + [ + "▁cookie", + -11.378718376159668 + ], + [ + "▁retain", + -11.378816604614258 + ], + [ + "▁600", + -11.379144668579102 + ], + [ + "▁eigene", + -11.379158020019531 + ], + [ + "▁tune", + -11.379209518432617 + ], + [ + "NS", + -11.379256248474121 + ], + [ + "▁dad", + -11.379284858703613 + ], + [ + "Moreover", + -11.379415512084961 + ], + [ + "ès", + -11.379434585571289 + ], + [ + "▁worship", + -11.379439353942871 + ], + [ + "▁Material", + -11.3794584274292 + ], + [ + "▁verb", + -11.379528045654297 + ], + [ + "ziehen", + -11.37957763671875 + ], + [ + "lton", + -11.379645347595215 + ], + [ + "▁boot", + -11.379982948303223 + ], + [ + "plo", + -11.380118370056152 + ], + [ + "CF", + -11.380212783813477 + ], + [ + "GM", + -11.380215644836426 + ], + [ + "▁Mix", + -11.38046932220459 + ], + [ + "▁Front", + -11.380474090576172 + ], + [ + "▁repairs", + -11.380655288696289 + ], + [ + "▁proportion", + -11.381068229675293 + ], + [ + "▁habit", + -11.381132125854492 + ], + [ + "▁hide", + -11.38156509399414 + ], + [ + "focusing", + -11.381707191467285 + ], + [ + "▁Annual", + -11.381717681884766 + ], + [ + "▁twin", + -11.3817777633667 + ], + [ + "▁acord", + -11.381780624389648 + ], + [ + "ehr", + -11.381814956665039 + ], + [ + "month", + -11.382303237915039 + ], + [ + "venir", + -11.382535934448242 + ], + [ + "Or", + -11.38254165649414 + ], + [ + "awa", + -11.382600784301758 + ], + [ + "lass", + -11.382735252380371 + ], + [ + "ffe", + -11.383048057556152 + ], + [ + "iți", + -11.383074760437012 + ], + [ + "NO", + -11.3831148147583 + ], + [ + "▁scope", + -11.383295059204102 + ], + [ + "▁lowest", + -11.383527755737305 + ], + [ + "▁afraid", + -11.383572578430176 + ], + [ + "▁subjects", + -11.383578300476074 + ], + [ + "▁templates", + -11.383586883544922 + ], + [ + "▁jos", + -11.383604049682617 + ], + [ + "DM", + -11.383687973022461 + ], + [ + "ensemble", + -11.383792877197266 + ], + [ + "▁Ski", + -11.383941650390625 + ], + [ + "DP", + -11.384099960327148 + ], + [ + "▁grip", + -11.384171485900879 + ], + [ + "2-", + -11.38436222076416 + ], + [ + "▁sécurité", + -11.384743690490723 + ], + [ + "▁mono", + -11.384749412536621 + ], + [ + "▁controls", + -11.384854316711426 + ], + [ + "SV", + -11.384879112243652 + ], + [ + "install", + -11.384970664978027 + ], + [ + "berry", + -11.385042190551758 + ], + [ + "nial", + -11.385120391845703 + ], + [ + "shed", + -11.385462760925293 + ], + [ + "▁celle", + -11.385830879211426 + ], + [ + "FR", + -11.385936737060547 + ], + [ + "äng", + -11.385950088500977 + ], + [ + "▁gaz", + -11.385984420776367 + ], + [ + "êt", + -11.386184692382812 + ], + [ + "▁viewing", + -11.386412620544434 + ], + [ + "▁asigura", + -11.386524200439453 + ], + [ + "bling", + -11.3865327835083 + ], + [ + "master", + -11.386919975280762 + ], + [ + "▁Fin", + -11.387160301208496 + ], + [ + "VC", + -11.387365341186523 + ], + [ + "▁patent", + -11.387715339660645 + ], + [ + "▁Clean", + -11.38773250579834 + ], + [ + "▁1970", + -11.387789726257324 + ], + [ + "▁Char", + -11.387971878051758 + ], + [ + "thi", + -11.388010025024414 + ], + [ + "bli", + -11.388141632080078 + ], + [ + "▁haut", + -11.388307571411133 + ], + [ + "tica", + -11.38836669921875 + ], + [ + "▁venit", + -11.388578414916992 + ], + [ + "▁compatible", + -11.388678550720215 + ], + [ + "▁hanging", + -11.388690948486328 + ], + [ + "UN", + -11.388842582702637 + ], + [ + "▁forth", + -11.388911247253418 + ], + [ + "▁painted", + -11.388912200927734 + ], + [ + "lip", + -11.389031410217285 + ], + [ + "▁deeply", + -11.389089584350586 + ], + [ + "▁participating", + -11.389242172241211 + ], + [ + "▁Iran", + -11.38968276977539 + ], + [ + "▁conventional", + -11.389769554138184 + ], + [ + "ARE", + -11.38985824584961 + ], + [ + "▁accuracy", + -11.389896392822266 + ], + [ + "▁Familie", + -11.389955520629883 + ], + [ + "▁Dir", + -11.39001178741455 + ], + [ + "▁gehen", + -11.390127182006836 + ], + [ + "▁moderne", + -11.39022159576416 + ], + [ + "▁Iraq", + -11.39050579071045 + ], + [ + "▁vente", + -11.390582084655762 + ], + [ + "▁Donald", + -11.390998840332031 + ], + [ + "▁passer", + -11.391051292419434 + ], + [ + "▁mehrere", + -11.391267776489258 + ], + [ + "▁Everything", + -11.391291618347168 + ], + [ + "▁studied", + -11.391307830810547 + ], + [ + "▁acquire", + -11.391312599182129 + ], + [ + "für", + -11.391477584838867 + ], + [ + "▁gal", + -11.391502380371094 + ], + [ + "▁headed", + -11.391809463500977 + ], + [ + "▁screening", + -11.391865730285645 + ], + [ + "▁findings", + -11.392303466796875 + ], + [ + "▁nutrition", + -11.392305374145508 + ], + [ + "▁Secretary", + -11.392308235168457 + ], + [ + "duct", + -11.392431259155273 + ], + [ + "born", + -11.392436027526855 + ], + [ + "«", + -11.39261531829834 + ], + [ + "▁statistics", + -11.392616271972656 + ], + [ + "▁Sydney", + -11.392800331115723 + ], + [ + "▁Prof", + -11.392829895019531 + ], + [ + "▁dialogue", + -11.39327621459961 + ], + [ + "▁gather", + -11.393425941467285 + ], + [ + "valu", + -11.393746376037598 + ], + [ + "▁currency", + -11.394073486328125 + ], + [ + "▁Kat", + -11.394092559814453 + ], + [ + "gotten", + -11.394189834594727 + ], + [ + "main", + -11.39432144165039 + ], + [ + "▁coin", + -11.394340515136719 + ], + [ + "▁Nick", + -11.394380569458008 + ], + [ + "vă", + -11.394658088684082 + ], + [ + "▁Victoria", + -11.394832611083984 + ], + [ + "▁conclusion", + -11.3949613571167 + ], + [ + "▁lemon", + -11.394998550415039 + ], + [ + "▁Article", + -11.39516830444336 + ], + [ + "▁necesar", + -11.39516830444336 + ], + [ + "mag", + -11.395180702209473 + ], + [ + "▁riding", + -11.39537239074707 + ], + [ + "▁Eli", + -11.395599365234375 + ], + [ + "▁cord", + -11.395635604858398 + ], + [ + "wä", + -11.39572811126709 + ], + [ + "ußerdem", + -11.395737648010254 + ], + [ + "▁Bed", + -11.395759582519531 + ], + [ + "▁layers", + -11.395833015441895 + ], + [ + "▁harder", + -11.395975112915039 + ], + [ + "▁processor", + -11.396040916442871 + ], + [ + "▁Ils", + -11.39613151550293 + ], + [ + "▁Edition", + -11.39615535736084 + ], + [ + "▁Link", + -11.396393775939941 + ], + [ + "éré", + -11.396461486816406 + ], + [ + "▁nume", + -11.396576881408691 + ], + [ + "▁Boy", + -11.39659595489502 + ], + [ + "▁equally", + -11.396646499633789 + ], + [ + "▁Regel", + -11.397119522094727 + ], + [ + "▁hopes", + -11.397185325622559 + ], + [ + "odor", + -11.397311210632324 + ], + [ + "▁initially", + -11.397430419921875 + ], + [ + "▁$4", + -11.3974609375 + ], + [ + "▁exemplu", + -11.397537231445312 + ], + [ + "▁vari", + -11.397565841674805 + ], + [ + "schl", + -11.397698402404785 + ], + [ + "▁southern", + -11.39809799194336 + ], + [ + "▁mein", + -11.39818000793457 + ], + [ + "▁1994", + -11.398300170898438 + ], + [ + "▁importantly", + -11.398401260375977 + ], + [ + "▁succes", + -11.398526191711426 + ], + [ + "▁developer", + -11.398598670959473 + ], + [ + "▁lips", + -11.39889144897461 + ], + [ + "▁attitude", + -11.39900016784668 + ], + [ + "▁Age", + -11.399541854858398 + ], + [ + "▁corps", + -11.399713516235352 + ], + [ + "▁clicking", + -11.39976978302002 + ], + [ + "▁putem", + -11.399832725524902 + ], + [ + "▁journée", + -11.40003776550293 + ], + [ + "boy", + -11.4002103805542 + ], + [ + "▁injured", + -11.40028190612793 + ], + [ + "▁watched", + -11.400433540344238 + ], + [ + "▁flights", + -11.40079116821289 + ], + [ + "turn", + -11.400980949401855 + ], + [ + "▁stainless", + -11.401562690734863 + ], + [ + "▁besondere", + -11.40156364440918 + ], + [ + "▁Tur", + -11.401596069335938 + ], + [ + "▁hiring", + -11.401650428771973 + ], + [ + "▁roads", + -11.401727676391602 + ], + [ + "ificat", + -11.401785850524902 + ], + [ + "▁Flor", + -11.402045249938965 + ], + [ + "▁puternic", + -11.402215003967285 + ], + [ + "▁unexpected", + -11.40223503112793 + ], + [ + "▁Est", + -11.40238094329834 + ], + [ + "▁adopted", + -11.40253734588623 + ], + [ + "▁Fox", + -11.402647972106934 + ], + [ + "▁contributions", + -11.402870178222656 + ], + [ + "sec", + -11.402968406677246 + ], + [ + "IO", + -11.403059959411621 + ], + [ + "▁santé", + -11.403432846069336 + ], + [ + "▁Tree", + -11.403763771057129 + ], + [ + "▁scurt", + -11.40381908416748 + ], + [ + "▁Products", + -11.403848648071289 + ], + [ + "▁forecast", + -11.403998374938965 + ], + [ + "▁actor", + -11.404143333435059 + ], + [ + "▁Gallery", + -11.404149055480957 + ], + [ + "▁continuous", + -11.404163360595703 + ], + [ + "▁Hat", + -11.404291152954102 + ], + [ + "▁slip", + -11.404501914978027 + ], + [ + "9%", + -11.404960632324219 + ], + [ + "▁depression", + -11.405043601989746 + ], + [ + "UI", + -11.405229568481445 + ], + [ + "abile", + -11.405648231506348 + ], + [ + "▁merit", + -11.405671119689941 + ], + [ + "▁Fer", + -11.405805587768555 + ], + [ + "▁robot", + -11.405888557434082 + ], + [ + "▁gel", + -11.40589427947998 + ], + [ + "▁gentle", + -11.406017303466797 + ], + [ + "▁wanting", + -11.406071662902832 + ], + [ + "▁understood", + -11.406157493591309 + ], + [ + "▁terrain", + -11.406161308288574 + ], + [ + "▁associate", + -11.406176567077637 + ], + [ + "▁discussions", + -11.40632152557373 + ], + [ + "▁Job", + -11.406365394592285 + ], + [ + "spec", + -11.406440734863281 + ], + [ + "Dabei", + -11.406475067138672 + ], + [ + "etic", + -11.406517028808594 + ], + [ + "gol", + -11.40654468536377 + ], + [ + "▁20%", + -11.406584739685059 + ], + [ + "▁grup", + -11.406606674194336 + ], + [ + "▁Doctor", + -11.406813621520996 + ], + [ + "verse", + -11.407246589660645 + ], + [ + "▁victim", + -11.407258033752441 + ], + [ + "ță", + -11.407302856445312 + ], + [ + "▁scores", + -11.407544136047363 + ], + [ + "▁Policy", + -11.407634735107422 + ], + [ + "▁Anna", + -11.407736778259277 + ], + [ + "IV", + -11.407804489135742 + ], + [ + "▁mineral", + -11.408202171325684 + ], + [ + "live", + -11.40821647644043 + ], + [ + "▁grey", + -11.408368110656738 + ], + [ + "struct", + -11.40852165222168 + ], + [ + "▁emails", + -11.408738136291504 + ], + [ + "▁anymore", + -11.409114837646484 + ], + [ + "▁productivity", + -11.409387588500977 + ], + [ + "▁Dark", + -11.409463882446289 + ], + [ + "▁neither", + -11.409481048583984 + ], + [ + "▁quotes", + -11.409611701965332 + ], + [ + "LS", + -11.410368919372559 + ], + [ + "▁Arizona", + -11.41040325164795 + ], + [ + "night", + -11.410497665405273 + ], + [ + "élé", + -11.411019325256348 + ], + [ + "▁assigned", + -11.411153793334961 + ], + [ + "▁satellite", + -11.411328315734863 + ], + [ + "▁stability", + -11.411665916442871 + ], + [ + "▁networking", + -11.41172981262207 + ], + [ + "▁Transport", + -11.411847114562988 + ], + [ + "▁persons", + -11.411856651306152 + ], + [ + "fund", + -11.412043571472168 + ], + [ + "▁pratique", + -11.41213321685791 + ], + [ + "▁inca", + -11.412134170532227 + ], + [ + "iller", + -11.412349700927734 + ], + [ + "▁packed", + -11.41239070892334 + ], + [ + "▁Vegas", + -11.412484169006348 + ], + [ + "▁offre", + -11.412493705749512 + ], + [ + "▁Bin", + -11.412518501281738 + ], + [ + "stop", + -11.412609100341797 + ], + [ + "mini", + -11.412860870361328 + ], + [ + "▁jam", + -11.412877082824707 + ], + [ + "cord", + -11.41289234161377 + ], + [ + "▁Beautiful", + -11.412996292114258 + ], + [ + "▁trash", + -11.413012504577637 + ], + [ + "▁wise", + -11.413092613220215 + ], + [ + "▁accounting", + -11.413178443908691 + ], + [ + "▁différents", + -11.413182258605957 + ], + [ + "▁stil", + -11.413214683532715 + ], + [ + "suit", + -11.413951873779297 + ], + [ + "▁vier", + -11.414209365844727 + ], + [ + "▁permis", + -11.414224624633789 + ], + [ + "flow", + -11.414238929748535 + ], + [ + "▁col", + -11.414749145507812 + ], + [ + "ected", + -11.414960861206055 + ], + [ + "▁singer", + -11.414999008178711 + ], + [ + "▁GmbH", + -11.415038108825684 + ], + [ + "tics", + -11.415094375610352 + ], + [ + "▁ser", + -11.415159225463867 + ], + [ + "On", + -11.415315628051758 + ], + [ + "▁insights", + -11.415605545043945 + ], + [ + "BB", + -11.415946960449219 + ], + [ + "▁differ", + -11.415959358215332 + ], + [ + "▁Glass", + -11.416131973266602 + ], + [ + "▁Six", + -11.416482925415039 + ], + [ + "▁subscription", + -11.416584968566895 + ], + [ + "BC", + -11.416606903076172 + ], + [ + "▁returning", + -11.416664123535156 + ], + [ + "kleinen", + -11.416693687438965 + ], + [ + "▁advantages", + -11.416747093200684 + ], + [ + "omme", + -11.416852951049805 + ], + [ + "lus", + -11.417071342468262 + ], + [ + "now", + -11.417141914367676 + ], + [ + "▁Pack", + -11.417253494262695 + ], + [ + "▁leak", + -11.417333602905273 + ], + [ + "▁muscles", + -11.41748332977295 + ], + [ + "▁davon", + -11.417492866516113 + ], + [ + "mph", + -11.417858123779297 + ], + [ + "▁temple", + -11.417868614196777 + ], + [ + "▁Après", + -11.417901039123535 + ], + [ + "▁Illinois", + -11.41801643371582 + ], + [ + "▁variable", + -11.418065071105957 + ], + [ + "▁judgment", + -11.418389320373535 + ], + [ + "gran", + -11.41861629486084 + ], + [ + "▁pose", + -11.418621063232422 + ], + [ + "das", + -11.418647766113281 + ], + [ + "ures", + -11.418673515319824 + ], + [ + "▁Championship", + -11.418689727783203 + ], + [ + "ebenfalls", + -11.41872501373291 + ], + [ + "▁hydro", + -11.418753623962402 + ], + [ + "▁angle", + -11.419268608093262 + ], + [ + "▁5-", + -11.41940975189209 + ], + [ + "▁gest", + -11.419547080993652 + ], + [ + "▁Frau", + -11.420233726501465 + ], + [ + "▁knock", + -11.420275688171387 + ], + [ + "FS", + -11.420442581176758 + ], + [ + "spi", + -11.420577049255371 + ], + [ + "▁Regional", + -11.420717239379883 + ], + [ + "lets", + -11.421098709106445 + ], + [ + "▁Date", + -11.42115592956543 + ], + [ + "▁Finance", + -11.421211242675781 + ], + [ + "▁Dann", + -11.421320915222168 + ], + [ + "Star", + -11.421380043029785 + ], + [ + "▁Creek", + -11.421393394470215 + ], + [ + "▁fu", + -11.421648979187012 + ], + [ + "wohn", + -11.422141075134277 + ], + [ + "▁anniversary", + -11.422219276428223 + ], + [ + "▁investments", + -11.422292709350586 + ], + [ + "▁universal", + -11.422601699829102 + ], + [ + "▁pit", + -11.422745704650879 + ], + [ + "ște", + -11.422784805297852 + ], + [ + "▁lab", + -11.422822952270508 + ], + [ + "dienst", + -11.422884941101074 + ], + [ + "▁pal", + -11.422889709472656 + ], + [ + "▁graphic", + -11.42289924621582 + ], + [ + "▁bearing", + -11.422900199890137 + ], + [ + "▁stylish", + -11.423087120056152 + ], + [ + "▁mé", + -11.42319393157959 + ], + [ + "▁există", + -11.42326545715332 + ], + [ + "▁découvrir", + -11.423477172851562 + ], + [ + "comp", + -11.423606872558594 + ], + [ + "ridge", + -11.423667907714844 + ], + [ + "▁heads", + -11.423765182495117 + ], + [ + "▁consequences", + -11.423835754394531 + ], + [ + "self", + -11.423842430114746 + ], + [ + "fried", + -11.423870086669922 + ], + [ + "▁inventory", + -11.424199104309082 + ], + [ + "▁strip", + -11.42422866821289 + ], + [ + "▁Civil", + -11.42424488067627 + ], + [ + "bell", + -11.424307823181152 + ], + [ + "▁neben", + -11.424444198608398 + ], + [ + "▁Perfect", + -11.424470901489258 + ], + [ + "▁Notre", + -11.424478530883789 + ], + [ + "▁fraud", + -11.424630165100098 + ], + [ + "▁employers", + -11.424656867980957 + ], + [ + "▁Jackson", + -11.42470645904541 + ], + [ + "▁probleme", + -11.424915313720703 + ], + [ + "▁richtig", + -11.424957275390625 + ], + [ + "▁Method", + -11.425009727478027 + ], + [ + "▁tired", + -11.425010681152344 + ], + [ + "dies", + -11.425031661987305 + ], + [ + "▁Number", + -11.425315856933594 + ], + [ + "rland", + -11.425652503967285 + ], + [ + "▁latter", + -11.426031112670898 + ], + [ + "rendre", + -11.426064491271973 + ], + [ + "▁cameras", + -11.426095962524414 + ], + [ + "▁euch", + -11.426630020141602 + ], + [ + "▁Description", + -11.427038192749023 + ], + [ + "Spec", + -11.427061080932617 + ], + [ + "▁mile", + -11.427437782287598 + ], + [ + "▁Challenge", + -11.427474021911621 + ], + [ + "▁Solutions", + -11.427504539489746 + ], + [ + "▁trusted", + -11.427509307861328 + ], + [ + "▁einge", + -11.427515029907227 + ], + [ + "rück", + -11.427528381347656 + ], + [ + "▁Ober", + -11.427635192871094 + ], + [ + "kes", + -11.42764949798584 + ], + [ + "▁Log", + -11.427684783935547 + ], + [ + "▁dessert", + -11.427776336669922 + ], + [ + "▁murder", + -11.428033828735352 + ], + [ + "▁1/2", + -11.428311347961426 + ], + [ + "▁Provide", + -11.42872142791748 + ], + [ + "nivelul", + -11.428800582885742 + ], + [ + "nici", + -11.428818702697754 + ], + [ + "▁observe", + -11.42889404296875 + ], + [ + "▁prescription", + -11.429162979125977 + ], + [ + "▁Sau", + -11.429170608520508 + ], + [ + "▁genuine", + -11.42919635772705 + ], + [ + "▁operated", + -11.429231643676758 + ], + [ + "▁generous", + -11.429267883300781 + ], + [ + "▁weapons", + -11.429458618164062 + ], + [ + "▁belief", + -11.4295015335083 + ], + [ + "▁consum", + -11.429584503173828 + ], + [ + "▁unknown", + -11.430116653442383 + ], + [ + "deoarece", + -11.430135726928711 + ], + [ + "Art", + -11.430147171020508 + ], + [ + "▁kurz", + -11.430183410644531 + ], + [ + "▁Gut", + -11.430258750915527 + ], + [ + "▁medication", + -11.430522918701172 + ], + [ + "▁Mau", + -11.43058967590332 + ], + [ + "▁divorce", + -11.430678367614746 + ], + [ + "▁claimed", + -11.430811882019043 + ], + [ + "halten", + -11.430848121643066 + ], + [ + "▁Cons", + -11.43089485168457 + ], + [ + "▁operational", + -11.430975914001465 + ], + [ + "▁Hong", + -11.431081771850586 + ], + [ + "VI", + -11.431143760681152 + ], + [ + "▁Blick", + -11.431485176086426 + ], + [ + "▁lamp", + -11.431706428527832 + ], + [ + "pati", + -11.431853294372559 + ], + [ + "▁4-", + -11.43192195892334 + ], + [ + "▁interven", + -11.431964874267578 + ], + [ + "ques", + -11.43201732635498 + ], + [ + "▁Talk", + -11.432096481323242 + ], + [ + "▁zeigt", + -11.432318687438965 + ], + [ + "▁targeted", + -11.432390213012695 + ], + [ + "round", + -11.432640075683594 + ], + [ + "enfant", + -11.432748794555664 + ], + [ + "▁Reg", + -11.432836532592773 + ], + [ + "▁instruments", + -11.432872772216797 + ], + [ + "▁calcul", + -11.433363914489746 + ], + [ + "▁Henry", + -11.4335298538208 + ], + [ + "▁Cla", + -11.433616638183594 + ], + [ + "▁rack", + -11.433661460876465 + ], + [ + "sehen", + -11.43375301361084 + ], + [ + "▁ending", + -11.433754920959473 + ], + [ + "▁resolve", + -11.434130668640137 + ], + [ + "▁advise", + -11.434178352355957 + ], + [ + "▁sociale", + -11.434386253356934 + ], + [ + "▁cabin", + -11.434536933898926 + ], + [ + "▁involve", + -11.43480396270752 + ], + [ + "gă", + -11.434889793395996 + ], + [ + "▁automat", + -11.435132026672363 + ], + [ + "▁consultant", + -11.435258865356445 + ], + [ + "Bu", + -11.435370445251465 + ], + [ + "▁safely", + -11.435466766357422 + ], + [ + "état", + -11.435478210449219 + ], + [ + "▁pros", + -11.435657501220703 + ], + [ + "▁lies", + -11.435659408569336 + ], + [ + "▁Brian", + -11.435914993286133 + ], + [ + "▁talented", + -11.435954093933105 + ], + [ + "pus", + -11.43599796295166 + ], + [ + "▁hub", + -11.436060905456543 + ], + [ + "▁Ji", + -11.436066627502441 + ], + [ + "▁sought", + -11.436102867126465 + ], + [ + "▁energie", + -11.436210632324219 + ], + [ + "▁möchten", + -11.43634033203125 + ], + [ + "▁11.", + -11.436558723449707 + ], + [ + "▁Kong", + -11.436662673950195 + ], + [ + "▁grave", + -11.43666934967041 + ], + [ + "▁lists", + -11.436800956726074 + ], + [ + "tati", + -11.436809539794922 + ], + [ + "verschiedenen", + -11.43692398071289 + ], + [ + "dam", + -11.437061309814453 + ], + [ + "▁charity", + -11.437249183654785 + ], + [ + "▁breaking", + -11.43735122680664 + ], + [ + "kins", + -11.43747329711914 + ], + [ + "▁könnte", + -11.437517166137695 + ], + [ + "▁appointed", + -11.437532424926758 + ], + [ + "roc", + -11.4376859664917 + ], + [ + "▁Senate", + -11.437979698181152 + ], + [ + "wit", + -11.438002586364746 + ], + [ + "▁emerging", + -11.438162803649902 + ], + [ + "▁année", + -11.438288688659668 + ], + [ + "▁Cool", + -11.438365936279297 + ], + [ + "▁sensor", + -11.43842887878418 + ], + [ + "How", + -11.438488960266113 + ], + [ + "▁Ryan", + -11.438626289367676 + ], + [ + "▁computers", + -11.43871784210205 + ], + [ + "▁fault", + -11.4388427734375 + ], + [ + "▁présent", + -11.438843727111816 + ], + [ + "ulation", + -11.439149856567383 + ], + [ + "▁stir", + -11.439348220825195 + ], + [ + "lauf", + -11.439703941345215 + ], + [ + "▁AI", + -11.440389633178711 + ], + [ + "▁Bri", + -11.440438270568848 + ], + [ + "▁bain", + -11.441011428833008 + ], + [ + "▁5,", + -11.441287994384766 + ], + [ + "schein", + -11.44157886505127 + ], + [ + "▁weiß", + -11.441596031188965 + ], + [ + "▁possibilities", + -11.44235610961914 + ], + [ + "gur", + -11.442413330078125 + ], + [ + "▁hinter", + -11.442647933959961 + ], + [ + "Innen", + -11.442755699157715 + ], + [ + "▁vorba", + -11.442992210388184 + ], + [ + "fahren", + -11.443008422851562 + ], + [ + "▁Cell", + -11.443072319030762 + ], + [ + "univers", + -11.443137168884277 + ], + [ + "▁Follow", + -11.443424224853516 + ], + [ + "▁emotions", + -11.44360637664795 + ], + [ + "▁Ministry", + -11.443694114685059 + ], + [ + "▁curriculum", + -11.443694114685059 + ], + [ + "Je", + -11.443764686584473 + ], + [ + "▁gab", + -11.444080352783203 + ], + [ + "▁sigur", + -11.444270133972168 + ], + [ + "rise", + -11.444416999816895 + ], + [ + "Pri", + -11.44466495513916 + ], + [ + "▁stabil", + -11.444781303405762 + ], + [ + "▁superb", + -11.445100784301758 + ], + [ + "▁Oak", + -11.44510269165039 + ], + [ + "▁rubber", + -11.445286750793457 + ], + [ + "▁tag", + -11.445306777954102 + ], + [ + "PG", + -11.445361137390137 + ], + [ + "▁Heat", + -11.445477485656738 + ], + [ + "▁thousand", + -11.445504188537598 + ], + [ + "▁meets", + -11.445521354675293 + ], + [ + "▁faced", + -11.445578575134277 + ], + [ + "▁reserve", + -11.445640563964844 + ], + [ + "cateva", + -11.445767402648926 + ], + [ + "▁gym", + -11.445771217346191 + ], + [ + "▁vitamin", + -11.445960998535156 + ], + [ + "▁Rest", + -11.446457862854004 + ], + [ + "▁Single", + -11.446535110473633 + ], + [ + "▁Stephen", + -11.446623802185059 + ], + [ + "▁trick", + -11.446824073791504 + ], + [ + "DU", + -11.44694709777832 + ], + [ + "▁telefon", + -11.44711685180664 + ], + [ + "▁gând", + -11.447120666503906 + ], + [ + "▁primit", + -11.447345733642578 + ], + [ + "▁Connect", + -11.447351455688477 + ], + [ + "▁führt", + -11.447440147399902 + ], + [ + "▁Info", + -11.447500228881836 + ], + [ + "▁recall", + -11.447848320007324 + ], + [ + "▁restore", + -11.447885513305664 + ], + [ + "lege", + -11.44792652130127 + ], + [ + "▁franchise", + -11.448189735412598 + ], + [ + "▁seulement", + -11.44856071472168 + ], + [ + "reci", + -11.448598861694336 + ], + [ + "▁2019,", + -11.44864273071289 + ], + [ + "▁Ring", + -11.448663711547852 + ], + [ + "▁assembly", + -11.448678970336914 + ], + [ + "intérieur", + -11.448775291442871 + ], + [ + "▁shade", + -11.44887924194336 + ], + [ + "▁meaningful", + -11.448881149291992 + ], + [ + "bag", + -11.448989868164062 + ], + [ + "ONE", + -11.449249267578125 + ], + [ + "▁globe", + -11.449287414550781 + ], + [ + "▁WA", + -11.449406623840332 + ], + [ + "▁intervention", + -11.449495315551758 + ], + [ + "öl", + -11.449531555175781 + ], + [ + "▁Marine", + -11.45029067993164 + ], + [ + "▁Angebot", + -11.450512886047363 + ], + [ + "▁align", + -11.450618743896484 + ], + [ + "▁temperatures", + -11.450634956359863 + ], + [ + "ifier", + -11.45091724395752 + ], + [ + "▁Nigeria", + -11.451189041137695 + ], + [ + "▁survive", + -11.451216697692871 + ], + [ + "ounce", + -11.451275825500488 + ], + [ + "▁placement", + -11.451416969299316 + ], + [ + "▁deci", + -11.451528549194336 + ], + [ + "▁Taylor", + -11.451759338378906 + ], + [ + "step", + -11.45190715789795 + ], + [ + "▁Geschichte", + -11.452054023742676 + ], + [ + "▁Bet", + -11.452169418334961 + ], + [ + "▁Nature", + -11.45224380493164 + ], + [ + "▁FC", + -11.452256202697754 + ], + [ + "▁ownership", + -11.452286720275879 + ], + [ + "▁behaviour", + -11.452474594116211 + ], + [ + "▁deutlich", + -11.452532768249512 + ], + [ + "▁wondering", + -11.452798843383789 + ], + [ + "▁cleaner", + -11.453295707702637 + ], + [ + "uring", + -11.4534912109375 + ], + [ + "rä", + -11.453496932983398 + ], + [ + "▁ga", + -11.454296112060547 + ], + [ + "ador", + -11.454482078552246 + ], + [ + "▁artwork", + -11.454564094543457 + ], + [ + "ologic", + -11.45457649230957 + ], + [ + "▁eigentlich", + -11.454848289489746 + ], + [ + "▁hell", + -11.45522403717041 + ], + [ + "source", + -11.455251693725586 + ], + [ + "▁gem", + -11.455265045166016 + ], + [ + "▁boss", + -11.455307006835938 + ], + [ + "▁arise", + -11.455460548400879 + ], + [ + "about", + -11.455711364746094 + ], + [ + "▁SI", + -11.455951690673828 + ], + [ + "▁ME", + -11.45610237121582 + ], + [ + "akt", + -11.456191062927246 + ], + [ + "▁Style", + -11.456259727478027 + ], + [ + "▁Körper", + -11.456493377685547 + ], + [ + "gui", + -11.456799507141113 + ], + [ + "▁navigate", + -11.456819534301758 + ], + [ + "▁Meanwhile", + -11.456977844238281 + ], + [ + "▁așa", + -11.457111358642578 + ], + [ + "▁bulk", + -11.457298278808594 + ], + [ + "▁directions", + -11.457310676574707 + ], + [ + "▁brick", + -11.457747459411621 + ], + [ + "▁Poly", + -11.457752227783203 + ], + [ + "▁politique", + -11.457772254943848 + ], + [ + "▁patch", + -11.457777976989746 + ], + [ + "ра", + -11.457816123962402 + ], + [ + "commerce", + -11.457844734191895 + ], + [ + "▁înainte", + -11.457884788513184 + ], + [ + "▁intelligent", + -11.45823860168457 + ], + [ + "▁infection", + -11.458426475524902 + ], + [ + "▁Tru", + -11.458494186401367 + ], + [ + "▁raising", + -11.458504676818848 + ], + [ + "tragen", + -11.458539009094238 + ], + [ + "▁portrait", + -11.45858383178711 + ], + [ + "▁meisten", + -11.458783149719238 + ], + [ + "▁organize", + -11.45893669128418 + ], + [ + "metric", + -11.458962440490723 + ], + [ + "▁Season", + -11.459036827087402 + ], + [ + "▁enforcement", + -11.459259033203125 + ], + [ + "origine", + -11.459836959838867 + ], + [ + "▁Ros", + -11.460065841674805 + ], + [ + "▁Mount", + -11.460083961486816 + ], + [ + "have", + -11.460237503051758 + ], + [ + "▁romantic", + -11.460258483886719 + ], + [ + "▁comic", + -11.460810661315918 + ], + [ + "▁greu", + -11.461116790771484 + ], + [ + "ET", + -11.46133041381836 + ], + [ + "▁hook", + -11.461407661437988 + ], + [ + "▁mort", + -11.461411476135254 + ], + [ + "▁indicated", + -11.461583137512207 + ], + [ + "▁7,", + -11.461982727050781 + ], + [ + "▁Neben", + -11.46204662322998 + ], + [ + "yer", + -11.46214485168457 + ], + [ + "▁momentul", + -11.46214771270752 + ], + [ + "note", + -11.462313652038574 + ], + [ + "▁baz", + -11.46231460571289 + ], + [ + "▁abroad", + -11.462320327758789 + ], + [ + "nite", + -11.462464332580566 + ], + [ + "▁bass", + -11.462701797485352 + ], + [ + "▁norm", + -11.462714195251465 + ], + [ + "▁É", + -11.462788581848145 + ], + [ + "4.", + -11.462881088256836 + ], + [ + "▁province", + -11.463004112243652 + ], + [ + "▁merge", + -11.463419914245605 + ], + [ + "arbeiten", + -11.463438987731934 + ], + [ + "-20", + -11.463574409484863 + ], + [ + "▁Nicht", + -11.463674545288086 + ], + [ + "spo", + -11.463783264160156 + ], + [ + "size", + -11.463815689086914 + ], + [ + "▁assure", + -11.463849067687988 + ], + [ + "charge", + -11.463987350463867 + ], + [ + "▁olive", + -11.464017868041992 + ], + [ + "▁Pot", + -11.46408462524414 + ], + [ + "▁Figure", + -11.4642333984375 + ], + [ + "clair", + -11.464336395263672 + ], + [ + "▁discipline", + -11.464600563049316 + ], + [ + "elli", + -11.464639663696289 + ], + [ + "▁tackle", + -11.465169906616211 + ], + [ + "▁buyer", + -11.465237617492676 + ], + [ + "▁loud", + -11.465479850769043 + ], + [ + "▁180", + -11.465534210205078 + ], + [ + "▁căt", + -11.465587615966797 + ], + [ + "▁Palm", + -11.465738296508789 + ], + [ + "away", + -11.46593189239502 + ], + [ + "▁Mother", + -11.46607494354248 + ], + [ + "onia", + -11.466240882873535 + ], + [ + "▁Protection", + -11.466416358947754 + ], + [ + "auto", + -11.466547966003418 + ], + [ + "▁Version", + -11.466583251953125 + ], + [ + "▁Nice", + -11.466714859008789 + ], + [ + "▁12.", + -11.46682071685791 + ], + [ + "▁0,", + -11.466835021972656 + ], + [ + "ATION", + -11.466911315917969 + ], + [ + "▁Produkte", + -11.466955184936523 + ], + [ + "▁tube", + -11.467084884643555 + ], + [ + "▁Houston", + -11.467106819152832 + ], + [ + "chu", + -11.467500686645508 + ], + [ + "pas", + -11.467717170715332 + ], + [ + "▁Ele", + -11.467801094055176 + ], + [ + "▁mountains", + -11.467835426330566 + ], + [ + "PH", + -11.467937469482422 + ], + [ + "▁languages", + -11.468672752380371 + ], + [ + "▁servicii", + -11.468722343444824 + ], + [ + "▁Stay", + -11.468999862670898 + ], + [ + "fil", + -11.469138145446777 + ], + [ + "▁propos", + -11.469801902770996 + ], + [ + "▁coll", + -11.469825744628906 + ], + [ + "▁mor", + -11.470197677612305 + ], + [ + "▁arrange", + -11.470410346984863 + ], + [ + "▁sorry", + -11.470475196838379 + ], + [ + "▁instruction", + -11.470723152160645 + ], + [ + "▁holes", + -11.47077465057373 + ], + [ + "letting", + -11.471046447753906 + ], + [ + "▁wa", + -11.471074104309082 + ], + [ + "▁Feb", + -11.471227645874023 + ], + [ + "omb", + -11.471232414245605 + ], + [ + "▁prise", + -11.471290588378906 + ], + [ + "VO", + -11.471305847167969 + ], + [ + "week", + -11.471349716186523 + ], + [ + "▁Event", + -11.471427917480469 + ], + [ + "▁AT", + -11.471485137939453 + ], + [ + "ket", + -11.471492767333984 + ], + [ + "haft", + -11.471579551696777 + ], + [ + "▁hits", + -11.47159194946289 + ], + [ + "foli", + -11.471681594848633 + ], + [ + "this", + -11.471948623657227 + ], + [ + "GP", + -11.471970558166504 + ], + [ + "▁Pin", + -11.472332954406738 + ], + [ + "▁Stein", + -11.472503662109375 + ], + [ + "thing", + -11.472512245178223 + ], + [ + "▁emphasis", + -11.472556114196777 + ], + [ + "▁Mur", + -11.472631454467773 + ], + [ + "▁Bag", + -11.472647666931152 + ], + [ + "cons", + -11.47273063659668 + ], + [ + "tons", + -11.472835540771484 + ], + [ + "lash", + -11.472987174987793 + ], + [ + "▁Grant", + -11.473104476928711 + ], + [ + "▁pris", + -11.473175048828125 + ], + [ + "▁bună", + -11.47323989868164 + ], + [ + "▁buc", + -11.473699569702148 + ], + [ + "▁passe", + -11.473746299743652 + ], + [ + "▁jewelry", + -11.474213600158691 + ], + [ + "iens", + -11.474342346191406 + ], + [ + "▁forma", + -11.47453784942627 + ], + [ + "▁Med", + -11.474651336669922 + ], + [ + "laufen", + -11.474778175354004 + ], + [ + "▁hunt", + -11.474977493286133 + ], + [ + "stayed", + -11.475086212158203 + ], + [ + "party", + -11.475152015686035 + ], + [ + "▁fra", + -11.47529411315918 + ], + [ + "▁scenes", + -11.475305557250977 + ], + [ + "▁absorb", + -11.47535228729248 + ], + [ + "▁abilities", + -11.475377082824707 + ], + [ + "lug", + -11.475507736206055 + ], + [ + "▁Sarah", + -11.475693702697754 + ], + [ + "mpf", + -11.47570514678955 + ], + [ + "▁fle", + -11.4757080078125 + ], + [ + "accès", + -11.475872993469238 + ], + [ + "▁solicit", + -11.475926399230957 + ], + [ + "pie", + -11.476278305053711 + ], + [ + "▁Zum", + -11.476296424865723 + ], + [ + "▁universe", + -11.476390838623047 + ], + [ + "▁exists", + -11.476449012756348 + ], + [ + "oane", + -11.476597785949707 + ], + [ + "IVE", + -11.47668743133545 + ], + [ + "▁2011.", + -11.476906776428223 + ], + [ + "▁specialists", + -11.477072715759277 + ], + [ + "▁mess", + -11.477309226989746 + ], + [ + "fach", + -11.477402687072754 + ], + [ + "▁Recht", + -11.477404594421387 + ], + [ + "▁hack", + -11.47755241394043 + ], + [ + "▁jacket", + -11.477564811706543 + ], + [ + "HC", + -11.47769832611084 + ], + [ + "▁substance", + -11.477728843688965 + ], + [ + "▁signing", + -11.477775573730469 + ], + [ + "▁allerdings", + -11.478032112121582 + ], + [ + "▁publish", + -11.478139877319336 + ], + [ + "▁Lab", + -11.478157043457031 + ], + [ + "▁agenda", + -11.478249549865723 + ], + [ + "lane", + -11.478299140930176 + ], + [ + "stream", + -11.478620529174805 + ], + [ + "schau", + -11.47879409790039 + ], + [ + "▁realizat", + -11.478971481323242 + ], + [ + "▁supplier", + -11.479019165039062 + ], + [ + "▁moderate", + -11.47902774810791 + ], + [ + "▁tours", + -11.479212760925293 + ], + [ + "▁narrative", + -11.479220390319824 + ], + [ + "ația", + -11.479279518127441 + ], + [ + "▁maps", + -11.479423522949219 + ], + [ + "treten", + -11.479447364807129 + ], + [ + "▁mars", + -11.479706764221191 + ], + [ + "▁moon", + -11.479745864868164 + ], + [ + "rose", + -11.479751586914062 + ], + [ + "▁exp", + -11.479766845703125 + ], + [ + "zahl", + -11.480154037475586 + ], + [ + "psych", + -11.480195999145508 + ], + [ + "▁gehört", + -11.48024845123291 + ], + [ + "▁bound", + -11.4803466796875 + ], + [ + "▁submission", + -11.480451583862305 + ], + [ + "▁clubs", + -11.480722427368164 + ], + [ + "Am", + -11.480755805969238 + ], + [ + "tenir", + -11.480782508850098 + ], + [ + "▁boast", + -11.480851173400879 + ], + [ + "▁boards", + -11.4810791015625 + ], + [ + "▁Geschäfts", + -11.481216430664062 + ], + [ + "zing", + -11.48126220703125 + ], + [ + "wort", + -11.48137092590332 + ], + [ + "lid", + -11.481417655944824 + ], + [ + "▁contractor", + -11.481528282165527 + ], + [ + "▁donner", + -11.481672286987305 + ], + [ + "▁coupon", + -11.481974601745605 + ], + [ + "adresse", + -11.482004165649414 + ], + [ + "colo", + -11.48210334777832 + ], + [ + "▁perception", + -11.482124328613281 + ], + [ + "NC", + -11.48222541809082 + ], + [ + "▁abge", + -11.482245445251465 + ], + [ + "▁cheaper", + -11.482268333435059 + ], + [ + "▁grace", + -11.482312202453613 + ], + [ + "▁resident", + -11.482718467712402 + ], + [ + "kla", + -11.4828462600708 + ], + [ + "▁bug", + -11.4828462600708 + ], + [ + "▁Available", + -11.482893943786621 + ], + [ + "▁BA", + -11.483323097229004 + ], + [ + "▁Met", + -11.483601570129395 + ], + [ + "▁climb", + -11.48365592956543 + ], + [ + "▁expanded", + -11.484349250793457 + ], + [ + "ying", + -11.484426498413086 + ], + [ + "▁matching", + -11.484469413757324 + ], + [ + "▁suffered", + -11.484733581542969 + ], + [ + "▁employed", + -11.484755516052246 + ], + [ + "pper", + -11.484843254089355 + ], + [ + "▁experiencing", + -11.484884262084961 + ], + [ + "ddy", + -11.484953880310059 + ], + [ + "▁philosophy", + -11.484955787658691 + ], + [ + "▁utilisé", + -11.485008239746094 + ], + [ + "▁Jane", + -11.485079765319824 + ], + [ + "LI", + -11.485087394714355 + ], + [ + "▁elected", + -11.485185623168945 + ], + [ + "▁MI", + -11.485264778137207 + ], + [ + "▁ISO", + -11.485340118408203 + ], + [ + "winning", + -11.48537540435791 + ], + [ + "▁vot", + -11.485424041748047 + ], + [ + "▁generic", + -11.485519409179688 + ], + [ + "▁Bol", + -11.485650062561035 + ], + [ + "▁copies", + -11.48568058013916 + ], + [ + "▁mechanical", + -11.48568058013916 + ], + [ + "günstig", + -11.485682487487793 + ], + [ + "roy", + -11.485770225524902 + ], + [ + "Astfel", + -11.485808372497559 + ], + [ + "media", + -11.485868453979492 + ], + [ + "▁shoulder", + -11.4859037399292 + ], + [ + "▁directory", + -11.486000061035156 + ], + [ + "▁banking", + -11.486016273498535 + ], + [ + "▁mistakes", + -11.486040115356445 + ], + [ + "▁Fran", + -11.486425399780273 + ], + [ + "▁Jon", + -11.486544609069824 + ], + [ + "▁spare", + -11.486579895019531 + ], + [ + "metri", + -11.486668586730957 + ], + [ + "▁mask", + -11.486879348754883 + ], + [ + "▁consistently", + -11.48695182800293 + ], + [ + "▁Columbia", + -11.487278938293457 + ], + [ + "roid", + -11.48774242401123 + ], + [ + "essen", + -11.487935066223145 + ], + [ + "▁(“", + -11.48798656463623 + ], + [ + "▁série", + -11.488212585449219 + ], + [ + "▁Phil", + -11.488249778747559 + ], + [ + "▁usor", + -11.488249778747559 + ], + [ + "▁stood", + -11.488279342651367 + ], + [ + "▁racing", + -11.488335609436035 + ], + [ + "▁Comme", + -11.488555908203125 + ], + [ + "▁exceed", + -11.488565444946289 + ], + [ + "на", + -11.488618850708008 + ], + [ + "▁activate", + -11.48873233795166 + ], + [ + "▁circle", + -11.488836288452148 + ], + [ + "▁bold", + -11.488956451416016 + ], + [ + "▁handy", + -11.48909854888916 + ], + [ + "merely", + -11.489114761352539 + ], + [ + "▁Edward", + -11.489147186279297 + ], + [ + "▁contracts", + -11.489530563354492 + ], + [ + "ê", + -11.489595413208008 + ], + [ + "▁campaigns", + -11.489673614501953 + ], + [ + "▁ought", + -11.489733695983887 + ], + [ + "▁nursing", + -11.489781379699707 + ], + [ + "▁Jr", + -11.489917755126953 + ], + [ + "▁rarely", + -11.490032196044922 + ], + [ + "▁Mir", + -11.490050315856934 + ], + [ + "▁diagnosis", + -11.490379333496094 + ], + [ + "▁Theatre", + -11.490394592285156 + ], + [ + "▁producer", + -11.490407943725586 + ], + [ + "Currently", + -11.490492820739746 + ], + [ + "▁fitting", + -11.490580558776855 + ], + [ + "▁ajunge", + -11.490618705749512 + ], + [ + "minte", + -11.490754127502441 + ], + [ + "▁termen", + -11.490838050842285 + ], + [ + "▁Linux", + -11.491013526916504 + ], + [ + "▁1-", + -11.491068840026855 + ], + [ + "▁hätte", + -11.491202354431152 + ], + [ + "▁Resort", + -11.49129867553711 + ], + [ + "image", + -11.491527557373047 + ], + [ + "▁Rod", + -11.49189281463623 + ], + [ + "▁Fly", + -11.491924285888672 + ], + [ + "try", + -11.492317199707031 + ], + [ + "▁expense", + -11.49245834350586 + ], + [ + "▁Interior", + -11.492799758911133 + ], + [ + "▁fence", + -11.492920875549316 + ], + [ + "▁Kontakt", + -11.493063926696777 + ], + [ + "▁ALL", + -11.493142127990723 + ], + [ + "VA", + -11.493229866027832 + ], + [ + "▁Exchange", + -11.493316650390625 + ], + [ + "ranked", + -11.493558883666992 + ], + [ + "▁Performance", + -11.493621826171875 + ], + [ + "prim", + -11.493635177612305 + ], + [ + "▁basket", + -11.493694305419922 + ], + [ + "▁Vice", + -11.493703842163086 + ], + [ + "phan", + -11.4937105178833 + ], + [ + "▁broke", + -11.494003295898438 + ], + [ + "voir", + -11.49431324005127 + ], + [ + "arg", + -11.494512557983398 + ], + [ + "ART", + -11.494529724121094 + ], + [ + "▁floors", + -11.494856834411621 + ], + [ + "pression", + -11.495025634765625 + ], + [ + "▁possession", + -11.49507999420166 + ], + [ + "▁domaine", + -11.49510669708252 + ], + [ + "▁valeur", + -11.495132446289062 + ], + [ + "▁suddenly", + -11.495282173156738 + ], + [ + "▁mild", + -11.495304107666016 + ], + [ + "▁aflat", + -11.495431900024414 + ], + [ + "▁Tea", + -11.495731353759766 + ], + [ + "tritt", + -11.495767593383789 + ], + [ + "▁Mittel", + -11.495773315429688 + ], + [ + "▁regulatory", + -11.49580192565918 + ], + [ + "▁spectacular", + -11.495905876159668 + ], + [ + "fahrt", + -11.495949745178223 + ], + [ + "GS", + -11.496026039123535 + ], + [ + "MM", + -11.4961576461792 + ], + [ + "▁environments", + -11.496203422546387 + ], + [ + "▁Raum", + -11.496381759643555 + ], + [ + "▁lay", + -11.496664047241211 + ], + [ + "▁cré", + -11.496713638305664 + ], + [ + "▁Selbst", + -11.496726989746094 + ], + [ + "▁opposition", + -11.496821403503418 + ], + [ + "two", + -11.49729061126709 + ], + [ + "▁Clark", + -11.497822761535645 + ], + [ + "▁Netz", + -11.497845649719238 + ], + [ + "bald", + -11.497983932495117 + ], + [ + "▁Innovation", + -11.4982271194458 + ], + [ + "▁overcome", + -11.49825382232666 + ], + [ + "quot", + -11.499013900756836 + ], + [ + "▁Sin", + -11.499106407165527 + ], + [ + "▁Sto", + -11.499320983886719 + ], + [ + "▁grain", + -11.499560356140137 + ], + [ + "▁collections", + -11.499724388122559 + ], + [ + "▁applies", + -11.49986743927002 + ], + [ + "mach", + -11.499934196472168 + ], + [ + "▁wheels", + -11.499958992004395 + ], + [ + "▁universities", + -11.500049591064453 + ], + [ + "▁Ray", + -11.500182151794434 + ], + [ + "lina", + -11.500238418579102 + ], + [ + "▁arrangements", + -11.500393867492676 + ], + [ + "▁western", + -11.500728607177734 + ], + [ + "rous", + -11.500768661499023 + ], + [ + "aise", + -11.500784873962402 + ], + [ + "▁highlights", + -11.50112533569336 + ], + [ + "▁intend", + -11.501265525817871 + ], + [ + "aimed", + -11.501358032226562 + ], + [ + "▁Scotland", + -11.501360893249512 + ], + [ + "▁acestei", + -11.501466751098633 + ], + [ + "graf", + -11.50150203704834 + ], + [ + "duction", + -11.501517295837402 + ], + [ + "path", + -11.50156021118164 + ], + [ + "▁evil", + -11.501633644104004 + ], + [ + "▁scris", + -11.501791000366211 + ], + [ + "▁disposition", + -11.501927375793457 + ], + [ + "▁designing", + -11.5020751953125 + ], + [ + "zwar", + -11.502172470092773 + ], + [ + "▁Retrieve", + -11.50217342376709 + ], + [ + "▁aggressive", + -11.502374649047852 + ], + [ + "▁Glen", + -11.502411842346191 + ], + [ + "▁daher", + -11.502473831176758 + ], + [ + "▁Quick", + -11.502494812011719 + ], + [ + "▁recover", + -11.502632141113281 + ], + [ + "▁prominent", + -11.50288200378418 + ], + [ + "▁visits", + -11.503198623657227 + ], + [ + "▁Mis", + -11.503376960754395 + ], + [ + "▁edited", + -11.503456115722656 + ], + [ + "▁distributed", + -11.503564834594727 + ], + [ + "▁dés", + -11.503580093383789 + ], + [ + "▁alter", + -11.5035982131958 + ], + [ + "▁cooked", + -11.503697395324707 + ], + [ + "embl", + -11.503706932067871 + ], + [ + "Univers", + -11.503715515136719 + ], + [ + "▁Minuten", + -11.504156112670898 + ], + [ + "▁compris", + -11.504179954528809 + ], + [ + "rais", + -11.504182815551758 + ], + [ + "essentially", + -11.504199028015137 + ], + [ + "▁rel", + -11.504340171813965 + ], + [ + "▁appel", + -11.504570007324219 + ], + [ + "▁trace", + -11.504788398742676 + ], + [ + "relating", + -11.504830360412598 + ], + [ + "dès", + -11.504937171936035 + ], + [ + "aste", + -11.504961013793945 + ], + [ + "▁raison", + -11.504963874816895 + ], + [ + "▁frequent", + -11.505281448364258 + ], + [ + "▁beds", + -11.505316734313965 + ], + [ + "▁Miami", + -11.505511283874512 + ], + [ + "▁vibrant", + -11.50564193725586 + ], + [ + "▁Kam", + -11.505721092224121 + ], + [ + "▁klar", + -11.505861282348633 + ], + [ + "▁Tan", + -11.50598430633545 + ], + [ + "▁vidéo", + -11.506032943725586 + ], + [ + "▁Kur", + -11.506115913391113 + ], + [ + "▁themes", + -11.506134033203125 + ], + [ + "▁struggling", + -11.506440162658691 + ], + [ + "▁Magazine", + -11.506444931030273 + ], + [ + "maker", + -11.506476402282715 + ], + [ + "veni", + -11.506564140319824 + ], + [ + "▁Groß", + -11.506732940673828 + ], + [ + "▁streaming", + -11.506772994995117 + ], + [ + "▁analyze", + -11.506876945495605 + ], + [ + "▁titles", + -11.506982803344727 + ], + [ + "pier", + -11.507316589355469 + ], + [ + "▁participant", + -11.507347106933594 + ], + [ + "aims", + -11.507607460021973 + ], + [ + "▁convention", + -11.507638931274414 + ], + [ + "▁flood", + -11.507780075073242 + ], + [ + "▁nights", + -11.507842063903809 + ], + [ + "▁titre", + -11.50792407989502 + ], + [ + "▁voul", + -11.508010864257812 + ], + [ + "weit", + -11.50816822052002 + ], + [ + "where", + -11.508213996887207 + ], + [ + "▁Seiten", + -11.508286476135254 + ], + [ + "▁relaxing", + -11.508628845214844 + ], + [ + "▁piano", + -11.50883674621582 + ], + [ + "▁Pick", + -11.508842468261719 + ], + [ + "▁Sony", + -11.508955001831055 + ], + [ + "▁enhanced", + -11.509017944335938 + ], + [ + "▁visa", + -11.50915241241455 + ], + [ + "CH", + -11.50930118560791 + ], + [ + "▁instantly", + -11.50930404663086 + ], + [ + "▁Fan", + -11.509721755981445 + ], + [ + "▁diabetes", + -11.509988784790039 + ], + [ + "▁popul", + -11.50999641418457 + ], + [ + "Ang", + -11.510232925415039 + ], + [ + "▁Ask", + -11.510295867919922 + ], + [ + "cate", + -11.510650634765625 + ], + [ + "▁simplu", + -11.510666847229004 + ], + [ + "nahme", + -11.510685920715332 + ], + [ + "▁dentist", + -11.510842323303223 + ], + [ + "ubi", + -11.510920524597168 + ], + [ + "article", + -11.511030197143555 + ], + [ + "▁graph", + -11.511094093322754 + ], + [ + "▁rival", + -11.51121711730957 + ], + [ + "jahr", + -11.5113525390625 + ], + [ + "▁bloc", + -11.511370658874512 + ], + [ + "fern", + -11.511427879333496 + ], + [ + "▁dispar", + -11.511516571044922 + ], + [ + "▁servers", + -11.511582374572754 + ], + [ + "▁patru", + -11.511610984802246 + ], + [ + "▁Within", + -11.511634826660156 + ], + [ + "▁situated", + -11.511896133422852 + ], + [ + "▁HR", + -11.511981964111328 + ], + [ + "▁leaf", + -11.511981964111328 + ], + [ + "▁curs", + -11.512049674987793 + ], + [ + "antes", + -11.512325286865234 + ], + [ + "lux", + -11.512406349182129 + ], + [ + "▁1993", + -11.512463569641113 + ], + [ + "stance", + -11.512650489807129 + ], + [ + "▁northern", + -11.512683868408203 + ], + [ + "lves", + -11.512718200683594 + ], + [ + "▁contractors", + -11.512882232666016 + ], + [ + "▁dimensions", + -11.512920379638672 + ], + [ + "▁rolling", + -11.513068199157715 + ], + [ + "▁automobile", + -11.513211250305176 + ], + [ + "▁cru", + -11.51342487335205 + ], + [ + "▁displays", + -11.513570785522461 + ], + [ + "web", + -11.513812065124512 + ], + [ + "had", + -11.513850212097168 + ], + [ + "▁Never", + -11.513893127441406 + ], + [ + "▁2-", + -11.513932228088379 + ], + [ + "vine", + -11.51393985748291 + ], + [ + "▁Wahl", + -11.513975143432617 + ], + [ + "▁Markt", + -11.514166831970215 + ], + [ + "▁Double", + -11.514227867126465 + ], + [ + "▁acknowledge", + -11.514229774475098 + ], + [ + "stal", + -11.514288902282715 + ], + [ + "▁equity", + -11.514620780944824 + ], + [ + "▁ministry", + -11.514823913574219 + ], + [ + "▁Lor", + -11.514875411987305 + ], + [ + "▁sud", + -11.514968872070312 + ], + [ + "idée", + -11.515044212341309 + ], + [ + "▁measured", + -11.515448570251465 + ], + [ + "▁editing", + -11.515609741210938 + ], + [ + "▁singur", + -11.515620231628418 + ], + [ + "▁coal", + -11.515623092651367 + ], + [ + "▁dramatic", + -11.516212463378906 + ], + [ + "AG", + -11.516251564025879 + ], + [ + "asca", + -11.516280174255371 + ], + [ + "▁crash", + -11.516321182250977 + ], + [ + "ischer", + -11.516597747802734 + ], + [ + "▁Pla", + -11.516871452331543 + ], + [ + "▁psycho", + -11.517054557800293 + ], + [ + "piece", + -11.517118453979492 + ], + [ + "▁finger", + -11.517121315002441 + ], + [ + "▁Hollywood", + -11.517123222351074 + ], + [ + "▁Cr", + -11.517345428466797 + ], + [ + "▁locally", + -11.517622947692871 + ], + [ + "▁mouse", + -11.517792701721191 + ], + [ + "▁Base", + -11.517867088317871 + ], + [ + "uite", + -11.518095016479492 + ], + [ + "▁detect", + -11.518099784851074 + ], + [ + "cea", + -11.518150329589844 + ], + [ + "▁bull", + -11.518194198608398 + ], + [ + "▁curve", + -11.518208503723145 + ], + [ + "été", + -11.518218994140625 + ], + [ + "ddle", + -11.51839542388916 + ], + [ + "▁span", + -11.518523216247559 + ], + [ + "WS", + -11.518878936767578 + ], + [ + "CL", + -11.519017219543457 + ], + [ + "▁officially", + -11.519042015075684 + ], + [ + "▁corect", + -11.519168853759766 + ], + [ + "▁Artikel", + -11.5193510055542 + ], + [ + "▁customized", + -11.520099639892578 + ], + [ + "▁intellectual", + -11.52018928527832 + ], + [ + "▁heures", + -11.520334243774414 + ], + [ + "schule", + -11.520444869995117 + ], + [ + "▁investing", + -11.520585060119629 + ], + [ + "▁parallel", + -11.521227836608887 + ], + [ + "▁loi", + -11.521263122558594 + ], + [ + "ările", + -11.521566390991211 + ], + [ + "р", + -11.521679878234863 + ], + [ + "▁bench", + -11.521724700927734 + ], + [ + "▁principle", + -11.521756172180176 + ], + [ + "▁Galaxy", + -11.521829605102539 + ], + [ + "ța", + -11.522237777709961 + ], + [ + "▁(4", + -11.522418975830078 + ], + [ + "▁bedrooms", + -11.522578239440918 + ], + [ + "née", + -11.52273941040039 + ], + [ + "▁surely", + -11.52275276184082 + ], + [ + "very", + -11.522927284240723 + ], + [ + "stelle", + -11.523200988769531 + ], + [ + "activ", + -11.523216247558594 + ], + [ + "cite", + -11.523551940917969 + ], + [ + "▁Original", + -11.523553848266602 + ], + [ + "▁palm", + -11.523665428161621 + ], + [ + "▁losses", + -11.523934364318848 + ], + [ + "▁newspaper", + -11.524153709411621 + ], + [ + "ciu", + -11.52436351776123 + ], + [ + "▁Hold", + -11.524392127990723 + ], + [ + "BO", + -11.524422645568848 + ], + [ + "▁CON", + -11.524598121643066 + ], + [ + "▁modified", + -11.524624824523926 + ], + [ + "▁stake", + -11.524735450744629 + ], + [ + "▁Ton", + -11.524798393249512 + ], + [ + "▁luna", + -11.524968147277832 + ], + [ + "▁Mind", + -11.525094985961914 + ], + [ + "lap", + -11.525150299072266 + ], + [ + "▁opinions", + -11.525247573852539 + ], + [ + "▁Jordan", + -11.525351524353027 + ], + [ + "div", + -11.52537727355957 + ], + [ + "indi", + -11.525418281555176 + ], + [ + "▁Story", + -11.525476455688477 + ], + [ + "▁affiliate", + -11.52585506439209 + ], + [ + "▁matière", + -11.525918960571289 + ], + [ + "▁fifth", + -11.526399612426758 + ], + [ + "▁sheets", + -11.52645492553711 + ], + [ + "▁puțin", + -11.526909828186035 + ], + [ + "ush", + -11.526947021484375 + ], + [ + "geführt", + -11.526993751525879 + ], + [ + "▁Falls", + -11.527168273925781 + ], + [ + "legi", + -11.527295112609863 + ], + [ + "▁auction", + -11.527326583862305 + ], + [ + "▁cooperation", + -11.52735424041748 + ], + [ + "▁Fee", + -11.527474403381348 + ], + [ + "▁Daily", + -11.52774715423584 + ], + [ + "pies", + -11.527853965759277 + ], + [ + "▁basketball", + -11.527976036071777 + ], + [ + "removing", + -11.528056144714355 + ], + [ + "Besides", + -11.528294563293457 + ], + [ + "▁Body", + -11.528355598449707 + ], + [ + "▁AD", + -11.528369903564453 + ], + [ + "RU", + -11.528435707092285 + ], + [ + "ţia", + -11.52894401550293 + ], + [ + "▁Extra", + -11.528986930847168 + ], + [ + "▁Practice", + -11.52900218963623 + ], + [ + "▁Jeff", + -11.529017448425293 + ], + [ + "▁început", + -11.529253005981445 + ], + [ + "ching", + -11.529269218444824 + ], + [ + "▁Gift", + -11.529281616210938 + ], + [ + "kk", + -11.529295921325684 + ], + [ + "\")", + -11.529349327087402 + ], + [ + "▁Austin", + -11.529651641845703 + ], + [ + "thro", + -11.529766082763672 + ], + [ + "▁camping", + -11.529810905456543 + ], + [ + "▁theatre", + -11.529850959777832 + ], + [ + "école", + -11.529916763305664 + ], + [ + "vient", + -11.530159950256348 + ], + [ + "▁faces", + -11.530226707458496 + ], + [ + "▁constructed", + -11.530437469482422 + ], + [ + "▁overnight", + -11.530472755432129 + ], + [ + "▁locale", + -11.530574798583984 + ], + [ + "▁roots", + -11.530611038208008 + ], + [ + "▁bu", + -11.530662536621094 + ], + [ + "4,", + -11.530683517456055 + ], + [ + "▁Enterprise", + -11.530865669250488 + ], + [ + "screen", + -11.530935287475586 + ], + [ + "▁Chef", + -11.53096866607666 + ], + [ + "▁Along", + -11.531298637390137 + ], + [ + "▁MD", + -11.531431198120117 + ], + [ + "▁Supreme", + -11.531597137451172 + ], + [ + "En", + -11.531655311584473 + ], + [ + "▁verwendet", + -11.532015800476074 + ], + [ + "▁processed", + -11.532425880432129 + ], + [ + "▁vendors", + -11.532549858093262 + ], + [ + "▁FA", + -11.532651901245117 + ], + [ + "▁44", + -11.532716751098633 + ], + [ + "▁beautifully", + -11.532933235168457 + ], + [ + "▁eficient", + -11.533092498779297 + ], + [ + "▁Wil", + -11.533117294311523 + ], + [ + "▁Member", + -11.533121109008789 + ], + [ + "▁damages", + -11.5332670211792 + ], + [ + "▁mutual", + -11.533288955688477 + ], + [ + "SN", + -11.533506393432617 + ], + [ + "▁Dave", + -11.533665657043457 + ], + [ + "??", + -11.533998489379883 + ], + [ + "stat", + -11.534090995788574 + ], + [ + "▁tourist", + -11.534374237060547 + ], + [ + "fie", + -11.534425735473633 + ], + [ + "şte", + -11.534754753112793 + ], + [ + "▁donne", + -11.534764289855957 + ], + [ + "▁shadow", + -11.53493881225586 + ], + [ + "▁dough", + -11.534993171691895 + ], + [ + "▁Gro", + -11.535002708435059 + ], + [ + "▁Mah", + -11.535066604614258 + ], + [ + "RF", + -11.535126686096191 + ], + [ + "▁mechanism", + -11.535163879394531 + ], + [ + "▁2011,", + -11.535179138183594 + ], + [ + "▁Alter", + -11.53530502319336 + ], + [ + "▁opposed", + -11.53538990020752 + ], + [ + "▁Fri", + -11.535501480102539 + ], + [ + "▁remarkable", + -11.535572052001953 + ], + [ + "oral", + -11.535635948181152 + ], + [ + "▁verschiedene", + -11.535653114318848 + ], + [ + "▁difficulty", + -11.535691261291504 + ], + [ + "▁Application", + -11.535840034484863 + ], + [ + "▁Hay", + -11.535888671875 + ], + [ + "▁continua", + -11.535935401916504 + ], + [ + "EP", + -11.53609848022461 + ], + [ + "▁Pr", + -11.53617000579834 + ], + [ + "▁Lady", + -11.53631591796875 + ], + [ + "▁interval", + -11.536457061767578 + ], + [ + "▁Mil", + -11.536504745483398 + ], + [ + "▁2010.", + -11.537042617797852 + ], + [ + "VE", + -11.537074089050293 + ], + [ + "integr", + -11.537360191345215 + ], + [ + "▁création", + -11.537415504455566 + ], + [ + "weed", + -11.537456512451172 + ], + [ + "EG", + -11.53760051727295 + ], + [ + "▁6,", + -11.537784576416016 + ], + [ + "▁god", + -11.537866592407227 + ], + [ + "▁accomplish", + -11.537947654724121 + ], + [ + "▁thoroughly", + -11.538019180297852 + ], + [ + "2019", + -11.538228988647461 + ], + [ + "izer", + -11.538246154785156 + ], + [ + "▁Wal", + -11.538300514221191 + ], + [ + "ifying", + -11.538701057434082 + ], + [ + "▁Wohn", + -11.539227485656738 + ], + [ + "▁Holz", + -11.539474487304688 + ], + [ + "▁Advanced", + -11.539528846740723 + ], + [ + "▁honey", + -11.539626121520996 + ], + [ + "proof", + -11.539634704589844 + ], + [ + "▁saison", + -11.540029525756836 + ], + [ + "ându", + -11.540035247802734 + ], + [ + "▁Kevin", + -11.540116310119629 + ], + [ + "▁shelter", + -11.540199279785156 + ], + [ + "▁discut", + -11.540257453918457 + ], + [ + "▁hike", + -11.540257453918457 + ], + [ + "ités", + -11.540461540222168 + ], + [ + "▁boutique", + -11.540672302246094 + ], + [ + "▁Email", + -11.54067611694336 + ], + [ + "▁cosmetic", + -11.540830612182617 + ], + [ + "dian", + -11.540916442871094 + ], + [ + "▁hohe", + -11.540940284729004 + ], + [ + "▁absence", + -11.541071891784668 + ], + [ + "axi", + -11.541136741638184 + ], + [ + "nah", + -11.541178703308105 + ], + [ + "▁Frauen", + -11.541236877441406 + ], + [ + "▁actively", + -11.541278839111328 + ], + [ + "bind", + -11.541468620300293 + ], + [ + "▁everybody", + -11.541740417480469 + ], + [ + "▁controller", + -11.541802406311035 + ], + [ + "▁1.5", + -11.5418062210083 + ], + [ + "erau", + -11.541842460632324 + ], + [ + "gehen", + -11.541988372802734 + ], + [ + "▁scenario", + -11.542038917541504 + ], + [ + "▁odd", + -11.542083740234375 + ], + [ + "▁Ultra", + -11.542089462280273 + ], + [ + "▁finishing", + -11.542366981506348 + ], + [ + "▁cuts", + -11.542383193969727 + ], + [ + "▁financing", + -11.542515754699707 + ], + [ + "▁Chance", + -11.542579650878906 + ], + [ + "surrounded", + -11.542818069458008 + ], + [ + "▁joc", + -11.542903900146484 + ], + [ + "▁shelf", + -11.543004035949707 + ], + [ + "tief", + -11.54308032989502 + ], + [ + "▁Sir", + -11.543146133422852 + ], + [ + "▁Agent", + -11.543197631835938 + ], + [ + "▁scratch", + -11.543560981750488 + ], + [ + "2,000", + -11.54360294342041 + ], + [ + "nutri", + -11.54365348815918 + ], + [ + "nier", + -11.544063568115234 + ], + [ + "▁Dur", + -11.544175148010254 + ], + [ + "▁grid", + -11.544268608093262 + ], + [ + "road", + -11.544413566589355 + ], + [ + "▁pets", + -11.544429779052734 + ], + [ + "stud", + -11.54448127746582 + ], + [ + "OM", + -11.544569969177246 + ], + [ + "Die", + -11.544877052307129 + ], + [ + "▁800", + -11.54496955871582 + ], + [ + "▁arrangement", + -11.545088768005371 + ], + [ + "▁Sri", + -11.545185089111328 + ], + [ + "▁Patrick", + -11.545187950134277 + ], + [ + "ava", + -11.545212745666504 + ], + [ + "▁pension", + -11.54523754119873 + ], + [ + "dung", + -11.545353889465332 + ], + [ + "▁Chapter", + -11.545475006103516 + ], + [ + "▁Property", + -11.545475006103516 + ], + [ + "▁structural", + -11.545571327209473 + ], + [ + "▁overview", + -11.545731544494629 + ], + [ + "2015", + -11.545917510986328 + ], + [ + "▁lawn", + -11.545924186706543 + ], + [ + "▁Vin", + -11.546219825744629 + ], + [ + "lik", + -11.546402931213379 + ], + [ + "dus", + -11.546418190002441 + ], + [ + "Several", + -11.54654598236084 + ], + [ + "▁Bou", + -11.546670913696289 + ], + [ + "▁copper", + -11.546703338623047 + ], + [ + "▁duration", + -11.546867370605469 + ], + [ + "inate", + -11.546982765197754 + ], + [ + "▁podcast", + -11.547204971313477 + ], + [ + "▁Self", + -11.547208786010742 + ], + [ + "▁Construction", + -11.547491073608398 + ], + [ + "achat", + -11.54768180847168 + ], + [ + "???", + -11.547683715820312 + ], + [ + "▁Electric", + -11.547974586486816 + ], + [ + "▁Mrs", + -11.54799747467041 + ], + [ + "▁CT", + -11.548019409179688 + ], + [ + "▁proceed", + -11.548324584960938 + ], + [ + "▁Course", + -11.548333168029785 + ], + [ + "▁Frei", + -11.548699378967285 + ], + [ + "▁heavily", + -11.548868179321289 + ], + [ + "rique", + -11.548872947692871 + ], + [ + "version", + -11.549016952514648 + ], + [ + "▁representatives", + -11.549118041992188 + ], + [ + "▁tourism", + -11.549182891845703 + ], + [ + "▁shirt", + -11.5494966506958 + ], + [ + "▁rough", + -11.549507141113281 + ], + [ + "▁weniger", + -11.549735069274902 + ], + [ + "▁keyboard", + -11.550058364868164 + ], + [ + "▁heritage", + -11.550149917602539 + ], + [ + "kat", + -11.550535202026367 + ], + [ + "assez", + -11.550567626953125 + ], + [ + "▁cabinets", + -11.550591468811035 + ], + [ + "▁Komm", + -11.550762176513672 + ], + [ + "▁impressed", + -11.55078411102295 + ], + [ + "▁Oregon", + -11.550788879394531 + ], + [ + "▁Davis", + -11.55081558227539 + ], + [ + "specialized", + -11.55097770690918 + ], + [ + "▁gross", + -11.550999641418457 + ], + [ + "Located", + -11.551044464111328 + ], + [ + "ttle", + -11.551044464111328 + ], + [ + "▁2010,", + -11.551224708557129 + ], + [ + "chan", + -11.551253318786621 + ], + [ + "mine", + -11.551305770874023 + ], + [ + "▁aduce", + -11.551637649536133 + ], + [ + "▁subsequent", + -11.551729202270508 + ], + [ + "▁demo", + -11.551851272583008 + ], + [ + "aba", + -11.552209854125977 + ], + [ + "▁shock", + -11.552389144897461 + ], + [ + "▁theater", + -11.552854537963867 + ], + [ + "▁engineers", + -11.55294418334961 + ], + [ + "▁feu", + -11.553037643432617 + ], + [ + "▁Rot", + -11.553058624267578 + ], + [ + "▁addressed", + -11.553155899047852 + ], + [ + "▁Letter", + -11.553431510925293 + ], + [ + "gré", + -11.553448677062988 + ], + [ + "▁quantity", + -11.553449630737305 + ], + [ + "▁Seit", + -11.553640365600586 + ], + [ + "▁bacteria", + -11.553681373596191 + ], + [ + "kg", + -11.55408000946045 + ], + [ + "▁conservation", + -11.554191589355469 + ], + [ + "▁entreprises", + -11.55420207977295 + ], + [ + "▁pleasant", + -11.554207801818848 + ], + [ + "armed", + -11.554228782653809 + ], + [ + "dorf", + -11.554286003112793 + ], + [ + "fact", + -11.554320335388184 + ], + [ + "▁Much", + -11.554388046264648 + ], + [ + "▁laugh", + -11.55482006072998 + ], + [ + "▁blade", + -11.554835319519043 + ], + [ + "amine", + -11.554838180541992 + ], + [ + "▁insert", + -11.55493450164795 + ], + [ + "▁toys", + -11.555326461791992 + ], + [ + "▁в", + -11.555726051330566 + ], + [ + "cell", + -11.555747985839844 + ], + [ + "▁strengthen", + -11.555864334106445 + ], + [ + "GR", + -11.555882453918457 + ], + [ + "▁autor", + -11.556114196777344 + ], + [ + "▁LI", + -11.556147575378418 + ], + [ + "▁oamenii", + -11.556184768676758 + ], + [ + "▁Modell", + -11.556222915649414 + ], + [ + "▁sophisticated", + -11.556225776672363 + ], + [ + "▁Write", + -11.556283950805664 + ], + [ + "eți", + -11.556295394897461 + ], + [ + "say", + -11.556641578674316 + ], + [ + "▁nutzen", + -11.556783676147461 + ], + [ + "▁amenities", + -11.556979179382324 + ], + [ + "chel", + -11.557068824768066 + ], + [ + "Unlike", + -11.55720043182373 + ], + [ + "▁Bilder", + -11.557208061218262 + ], + [ + "fertig", + -11.55722713470459 + ], + [ + "PER", + -11.557244300842285 + ], + [ + "▁apparently", + -11.557282447814941 + ], + [ + "▁pointed", + -11.557332992553711 + ], + [ + "lop", + -11.557435989379883 + ], + [ + "▁commande", + -11.557848930358887 + ], + [ + "▁NEW", + -11.557923316955566 + ], + [ + "▁primi", + -11.55798625946045 + ], + [ + "▁aluminum", + -11.558046340942383 + ], + [ + "ificare", + -11.558063507080078 + ], + [ + "open", + -11.55815315246582 + ], + [ + "▁establishment", + -11.558305740356445 + ], + [ + "▁blanc", + -11.558349609375 + ], + [ + "▁1960", + -11.558454513549805 + ], + [ + "▁parameters", + -11.55856990814209 + ], + [ + "schluss", + -11.558685302734375 + ], + [ + "▁jet", + -11.55879020690918 + ], + [ + "gam", + -11.55902099609375 + ], + [ + "▁oral", + -11.559290885925293 + ], + [ + "▁tons", + -11.559348106384277 + ], + [ + "▁AL", + -11.55935001373291 + ], + [ + "▁intention", + -11.55947494506836 + ], + [ + "ives", + -11.55974292755127 + ], + [ + "▁BMW", + -11.559837341308594 + ], + [ + "gun", + -11.559967041015625 + ], + [ + "leben", + -11.560046195983887 + ], + [ + "▁Fresh", + -11.56010913848877 + ], + [ + "▁tuturor", + -11.560193061828613 + ], + [ + "▁marine", + -11.560208320617676 + ], + [ + "mile", + -11.560260772705078 + ], + [ + "▁alta", + -11.560271263122559 + ], + [ + "nnen", + -11.56050968170166 + ], + [ + "▁courts", + -11.560530662536621 + ], + [ + "▁Hello", + -11.560791015625 + ], + [ + "BL", + -11.560895919799805 + ], + [ + "▁reply", + -11.560962677001953 + ], + [ + "environnement", + -11.560975074768066 + ], + [ + "American", + -11.560995101928711 + ], + [ + "▁Tell", + -11.561040878295898 + ], + [ + "▁chic", + -11.56148624420166 + ], + [ + "bir", + -11.561542510986328 + ], + [ + "▁singing", + -11.561788558959961 + ], + [ + "▁earnings", + -11.561819076538086 + ], + [ + "▁ensemble", + -11.562082290649414 + ], + [ + "▁($", + -11.562169075012207 + ], + [ + "▁Tout", + -11.562192916870117 + ], + [ + "▁Abs", + -11.562264442443848 + ], + [ + "▁describes", + -11.562322616577148 + ], + [ + "▁navigation", + -11.5625 + ], + [ + "▁destul", + -11.562532424926758 + ], + [ + "legate", + -11.562586784362793 + ], + [ + "tral", + -11.562599182128906 + ], + [ + "aţie", + -11.562753677368164 + ], + [ + "▁supplied", + -11.562775611877441 + ], + [ + "▁paar", + -11.562911987304688 + ], + [ + "ionat", + -11.563241958618164 + ], + [ + "9.", + -11.563263893127441 + ], + [ + "▁41", + -11.563348770141602 + ], + [ + "▁Track", + -11.563451766967773 + ], + [ + "▁happiness", + -11.563636779785156 + ], + [ + "▁Personen", + -11.563680648803711 + ], + [ + "▁sac", + -11.56373119354248 + ], + [ + "▁shapes", + -11.563774108886719 + ], + [ + "eld", + -11.56393051147461 + ], + [ + "bett", + -11.563963890075684 + ], + [ + "tile", + -11.56400203704834 + ], + [ + "▁divided", + -11.564035415649414 + ], + [ + "▁13.", + -11.56403923034668 + ], + [ + "market", + -11.564109802246094 + ], + [ + "crafted", + -11.564115524291992 + ], + [ + "▁periods", + -11.564120292663574 + ], + [ + "uş", + -11.564568519592285 + ], + [ + "▁trainer", + -11.56460952758789 + ], + [ + "▁Licht", + -11.564871788024902 + ], + [ + "▁advisor", + -11.564948081970215 + ], + [ + "▁Herr", + -11.564980506896973 + ], + [ + "▁Halloween", + -11.565147399902344 + ], + [ + "alter", + -11.565154075622559 + ], + [ + "▁radical", + -11.565155029296875 + ], + [ + "▁nose", + -11.56527042388916 + ], + [ + "▁Sat", + -11.565323829650879 + ], + [ + "▁Mom", + -11.565372467041016 + ], + [ + "moni", + -11.565377235412598 + ], + [ + "▁semn", + -11.565397262573242 + ], + [ + "vé", + -11.565672874450684 + ], + [ + "identifie", + -11.56570053100586 + ], + [ + "▁hatten", + -11.565957069396973 + ], + [ + "completing", + -11.565959930419922 + ], + [ + "▁gust", + -11.565963745117188 + ], + [ + "▁creat", + -11.56601333618164 + ], + [ + "ché", + -11.566075325012207 + ], + [ + "pay", + -11.566216468811035 + ], + [ + "▁Money", + -11.566229820251465 + ], + [ + "IG", + -11.566243171691895 + ], + [ + "▁Cash", + -11.566327095031738 + ], + [ + "altă", + -11.566420555114746 + ], + [ + "▁bekommen", + -11.566620826721191 + ], + [ + "▁43", + -11.56662654876709 + ], + [ + "▁supplement", + -11.566637992858887 + ], + [ + "▁Early", + -11.566754341125488 + ], + [ + "▁mattress", + -11.56692123413086 + ], + [ + "▁worn", + -11.567182540893555 + ], + [ + "rov", + -11.567197799682617 + ], + [ + "▁pray", + -11.56733226776123 + ], + [ + "▁beans", + -11.567673683166504 + ], + [ + "▁passé", + -11.567782402038574 + ], + [ + "▁facilit", + -11.56782054901123 + ], + [ + "▁meters", + -11.56784439086914 + ], + [ + "cke", + -11.568163871765137 + ], + [ + "▁Villa", + -11.568199157714844 + ], + [ + "▁Diego", + -11.568217277526855 + ], + [ + "▁chips", + -11.568244934082031 + ], + [ + "▁mes", + -11.568349838256836 + ], + [ + "▁Seattle", + -11.568421363830566 + ], + [ + "BU", + -11.568621635437012 + ], + [ + "▁nevoi", + -11.568714141845703 + ], + [ + "▁lets", + -11.568737030029297 + ], + [ + "▁hopefully", + -11.56894302368164 + ], + [ + "▁AG", + -11.568954467773438 + ], + [ + "liable", + -11.568999290466309 + ], + [ + "pound", + -11.569067001342773 + ], + [ + "près", + -11.569085121154785 + ], + [ + "arul", + -11.56920337677002 + ], + [ + "isiert", + -11.569281578063965 + ], + [ + "▁Expert", + -11.569297790527344 + ], + [ + "▁particulier", + -11.569367408752441 + ], + [ + "stoff", + -11.569952964782715 + ], + [ + "▁interpretation", + -11.56999397277832 + ], + [ + "După", + -11.57007884979248 + ], + [ + "sait", + -11.57011604309082 + ], + [ + "▁nouvelles", + -11.570173263549805 + ], + [ + "▁Ok", + -11.570175170898438 + ], + [ + "tap", + -11.570301055908203 + ], + [ + "▁targets", + -11.570327758789062 + ], + [ + "rung", + -11.57052230834961 + ], + [ + "▁stare", + -11.570576667785645 + ], + [ + "▁efficiently", + -11.570908546447754 + ], + [ + "EV", + -11.571003913879395 + ], + [ + "évit", + -11.571310997009277 + ], + [ + "▁Moldova", + -11.571542739868164 + ], + [ + "▁Face", + -11.571663856506348 + ], + [ + "▁flo", + -11.57168960571289 + ], + [ + "▁acestora", + -11.5717134475708 + ], + [ + "▁Victor", + -11.57183837890625 + ], + [ + "▁breed", + -11.57198429107666 + ], + [ + "morph", + -11.572230339050293 + ], + [ + "sley", + -11.572274208068848 + ], + [ + "mot", + -11.57234001159668 + ], + [ + "▁URL", + -11.572395324707031 + ], + [ + "ellen", + -11.572502136230469 + ], + [ + "▁resist", + -11.572781562805176 + ], + [ + "zon", + -11.57282829284668 + ], + [ + "ndel", + -11.572967529296875 + ], + [ + "will", + -11.572989463806152 + ], + [ + "▁alege", + -11.573076248168945 + ], + [ + "▁Easter", + -11.573114395141602 + ], + [ + "▁Bat", + -11.573190689086914 + ], + [ + "▁Höhe", + -11.573223114013672 + ], + [ + "▁fascinating", + -11.573387145996094 + ], + [ + "▁Know", + -11.5735445022583 + ], + [ + "illon", + -11.573602676391602 + ], + [ + "flex", + -11.57363224029541 + ], + [ + "who", + -11.573701858520508 + ], + [ + "▁Always", + -11.573729515075684 + ], + [ + "▁Bush", + -11.573777198791504 + ], + [ + "ICE", + -11.574009895324707 + ], + [ + "verein", + -11.57448673248291 + ], + [ + "▁später", + -11.57448959350586 + ], + [ + "▁cherch", + -11.574575424194336 + ], + [ + "makers", + -11.574753761291504 + ], + [ + "versus", + -11.574790954589844 + ], + [ + "▁Clear", + -11.574846267700195 + ], + [ + "▁Pennsylvania", + -11.574912071228027 + ], + [ + "Dieser", + -11.575041770935059 + ], + [ + "▁picking", + -11.575072288513184 + ], + [ + "▁restoration", + -11.57513427734375 + ], + [ + "▁interviews", + -11.575201988220215 + ], + [ + "pressed", + -11.575210571289062 + ], + [ + "nnerhalb", + -11.575674057006836 + ], + [ + "▁connecting", + -11.575834274291992 + ], + [ + "jou", + -11.575943946838379 + ], + [ + "▁react", + -11.576189041137695 + ], + [ + "▁Merci", + -11.576223373413086 + ], + [ + "▁Phone", + -11.576356887817383 + ], + [ + "▁1)", + -11.57652473449707 + ], + [ + "▁victims", + -11.576618194580078 + ], + [ + "▁Spo", + -11.576685905456543 + ], + [ + "atului", + -11.576735496520996 + ], + [ + "▁Harry", + -11.576837539672852 + ], + [ + "▁Sala", + -11.576875686645508 + ], + [ + "Pol", + -11.577075958251953 + ], + [ + "▁Clo", + -11.577167510986328 + ], + [ + "▁Erfolg", + -11.577211380004883 + ], + [ + "autour", + -11.577308654785156 + ], + [ + "▁Template", + -11.577314376831055 + ], + [ + "▁invention", + -11.57754898071289 + ], + [ + "▁schwer", + -11.57761287689209 + ], + [ + "vac", + -11.577625274658203 + ], + [ + "▁Trail", + -11.577627182006836 + ], + [ + "▁Vietnam", + -11.577638626098633 + ], + [ + "▁Size", + -11.577689170837402 + ], + [ + "▁Bern", + -11.577783584594727 + ], + [ + "▁emp", + -11.577845573425293 + ], + [ + "▁shake", + -11.57787799835205 + ], + [ + "▁Ave", + -11.57794189453125 + ], + [ + "▁productive", + -11.578009605407715 + ], + [ + "▁apple", + -11.578015327453613 + ], + [ + "▁portal", + -11.578052520751953 + ], + [ + "▁ceramic", + -11.578082084655762 + ], + [ + "▁pad", + -11.578110694885254 + ], + [ + "▁Syn", + -11.578316688537598 + ], + [ + "Ab", + -11.57845401763916 + ], + [ + "▁syn", + -11.578761100769043 + ], + [ + "find", + -11.578888893127441 + ], + [ + "▁settle", + -11.578909873962402 + ], + [ + "▁général", + -11.578965187072754 + ], + [ + "▁okay", + -11.579032897949219 + ], + [ + "▁receipt", + -11.57906436920166 + ], + [ + "orii", + -11.579117774963379 + ], + [ + "▁Mission", + -11.579122543334961 + ], + [ + "entrée", + -11.579304695129395 + ], + [ + "▁besteht", + -11.579394340515137 + ], + [ + "▁wisdom", + -11.57950210571289 + ], + [ + "▁heraus", + -11.579645156860352 + ], + [ + "▁balanced", + -11.579753875732422 + ], + [ + "▁habits", + -11.579773902893066 + ], + [ + "tang", + -11.579888343811035 + ], + [ + "ură", + -11.580151557922363 + ], + [ + "▁winners", + -11.580182075500488 + ], + [ + "ç", + -11.580215454101562 + ], + [ + "▁folosi", + -11.580242156982422 + ], + [ + "aliment", + -11.5802583694458 + ], + [ + "▁fiction", + -11.580373764038086 + ], + [ + "▁Spe", + -11.580534934997559 + ], + [ + "▁elsewhere", + -11.580663681030273 + ], + [ + "▁dependent", + -11.580808639526367 + ], + [ + "▁Anne", + -11.581167221069336 + ], + [ + "▁excellence", + -11.581695556640625 + ], + [ + "▁Feel", + -11.581753730773926 + ], + [ + "lieb", + -11.581811904907227 + ], + [ + "▁sectors", + -11.581865310668945 + ], + [ + "▁expir", + -11.581886291503906 + ], + [ + "▁surfaces", + -11.58191204071045 + ], + [ + "▁minim", + -11.581937789916992 + ], + [ + "▁tumor", + -11.58204460144043 + ], + [ + "▁paragraph", + -11.582289695739746 + ], + [ + "▁disk", + -11.58232307434082 + ], + [ + "▁tonight", + -11.582379341125488 + ], + [ + "▁precious", + -11.582794189453125 + ], + [ + "▁console", + -11.58288288116455 + ], + [ + "Th", + -11.582939147949219 + ], + [ + "neu", + -11.583020210266113 + ], + [ + "effective", + -11.5839262008667 + ], + [ + "▁Republican", + -11.583944320678711 + ], + [ + "format", + -11.584297180175781 + ], + [ + "▁preserve", + -11.58436107635498 + ], + [ + "▁wiring", + -11.584599494934082 + ], + [ + "▁exercises", + -11.584757804870605 + ], + [ + "▁pregnancy", + -11.584774017333984 + ], + [ + "tries", + -11.58481502532959 + ], + [ + "▁jeunes", + -11.584883689880371 + ], + [ + "▁publishing", + -11.584932327270508 + ], + [ + "▁nehmen", + -11.584935188293457 + ], + [ + "▁capability", + -11.5849609375 + ], + [ + "▁prompt", + -11.584965705871582 + ], + [ + "▁Further", + -11.58497428894043 + ], + [ + "▁semaine", + -11.585173606872559 + ], + [ + "abo", + -11.585216522216797 + ], + [ + "▁evolution", + -11.585319519042969 + ], + [ + "▁Sud", + -11.585403442382812 + ], + [ + "▁frais", + -11.585525512695312 + ], + [ + "LT", + -11.585619926452637 + ], + [ + "▁stack", + -11.58581829071045 + ], + [ + "▁Inside", + -11.585854530334473 + ], + [ + "▁programmes", + -11.585997581481934 + ], + [ + "▁passes", + -11.586196899414062 + ], + [ + "mü", + -11.586474418640137 + ], + [ + "▁progressive", + -11.586518287658691 + ], + [ + "▁calculator", + -11.58658218383789 + ], + [ + "▁Core", + -11.586655616760254 + ], + [ + "BT", + -11.586956977844238 + ], + [ + "core", + -11.586996078491211 + ], + [ + "▁Moon", + -11.587004661560059 + ], + [ + "▁tender", + -11.587040901184082 + ], + [ + "durch", + -11.58721923828125 + ], + [ + "▁commune", + -11.587453842163086 + ], + [ + "▁Prince", + -11.587594032287598 + ], + [ + "▁demonstrated", + -11.587693214416504 + ], + [ + "▁conversations", + -11.587890625 + ], + [ + "▁fri", + -11.587984085083008 + ], + [ + "igh", + -11.587992668151855 + ], + [ + "being", + -11.588334083557129 + ], + [ + "pause", + -11.58853530883789 + ], + [ + "▁Bear", + -11.58871841430664 + ], + [ + "ayant", + -11.588875770568848 + ], + [ + "▁Industry", + -11.588967323303223 + ], + [ + "▁sponsor", + -11.589012145996094 + ], + [ + "▁numele", + -11.589098930358887 + ], + [ + "▁VA", + -11.589167594909668 + ], + [ + "▁Sommer", + -11.589366912841797 + ], + [ + "TB", + -11.589380264282227 + ], + [ + "▁optional", + -11.589505195617676 + ], + [ + "▁Landes", + -11.589812278747559 + ], + [ + "coli", + -11.589963912963867 + ], + [ + "empt", + -11.59018325805664 + ], + [ + "▁Iron", + -11.590620040893555 + ], + [ + "▁1992", + -11.59090518951416 + ], + [ + "▁attempts", + -11.59090518951416 + ], + [ + "halb", + -11.590960502624512 + ], + [ + "▁photographer", + -11.59097671508789 + ], + [ + "▁witness", + -11.59097957611084 + ], + [ + "bru", + -11.591073989868164 + ], + [ + "▁Ras", + -11.59107780456543 + ], + [ + "▁burden", + -11.591142654418945 + ], + [ + "▁kaufen", + -11.591256141662598 + ], + [ + "▁vu", + -11.591362953186035 + ], + [ + "▁Wedding", + -11.591601371765137 + ], + [ + "▁Kla", + -11.591604232788086 + ], + [ + "occasion", + -11.591915130615234 + ], + [ + "▁keys", + -11.592131614685059 + ], + [ + "▁oferi", + -11.592279434204102 + ], + [ + "▁puzzle", + -11.592302322387695 + ], + [ + "eaux", + -11.59254264831543 + ], + [ + "▁Eco", + -11.592805862426758 + ], + [ + "▁52", + -11.592817306518555 + ], + [ + "▁Elizabeth", + -11.59284496307373 + ], + [ + "▁dispose", + -11.593144416809082 + ], + [ + "▁cluster", + -11.59326171875 + ], + [ + "iki", + -11.593283653259277 + ], + [ + "▁Guys", + -11.593595504760742 + ], + [ + "▁Economic", + -11.593632698059082 + ], + [ + "▁apar", + -11.593677520751953 + ], + [ + "▁ziua", + -11.593688011169434 + ], + [ + "▁integral", + -11.593740463256836 + ], + [ + "▁tac", + -11.59376335144043 + ], + [ + "▁restrictions", + -11.593778610229492 + ], + [ + "▁nerve", + -11.593794822692871 + ], + [ + "▁Stop", + -11.59386157989502 + ], + [ + "burger", + -11.593897819519043 + ], + [ + "explo", + -11.593944549560547 + ], + [ + "lö", + -11.593958854675293 + ], + [ + "NP", + -11.594077110290527 + ], + [ + "▁Brook", + -11.59418773651123 + ], + [ + "▁Close", + -11.594278335571289 + ], + [ + "▁representing", + -11.59446907043457 + ], + [ + "▁certaine", + -11.594767570495605 + ], + [ + "▁discovery", + -11.594836235046387 + ], + [ + "▁rece", + -11.594964981079102 + ], + [ + "FF", + -11.594970703125 + ], + [ + "▁salary", + -11.595069885253906 + ], + [ + "▁Wolf", + -11.595137596130371 + ], + [ + "▁deserve", + -11.595166206359863 + ], + [ + "ţele", + -11.595417976379395 + ], + [ + "gathered", + -11.595934867858887 + ], + [ + "▁comply", + -11.59599494934082 + ], + [ + "lagen", + -11.596034049987793 + ], + [ + "ătoare", + -11.596192359924316 + ], + [ + "▁relate", + -11.596410751342773 + ], + [ + "▁Roger", + -11.59656810760498 + ], + [ + "▁blame", + -11.596575736999512 + ], + [ + "▁Jen", + -11.596914291381836 + ], + [ + "▁army", + -11.596936225891113 + ], + [ + "▁$10", + -11.597129821777344 + ], + [ + "▁Cabinet", + -11.597185134887695 + ], + [ + "Gu", + -11.597367286682129 + ], + [ + "▁wildlife", + -11.597452163696289 + ], + [ + "▁Memorial", + -11.597643852233887 + ], + [ + "▁Holiday", + -11.597742080688477 + ], + [ + "▁curat", + -11.598291397094727 + ], + [ + "iilor", + -11.598299026489258 + ], + [ + "▁fleet", + -11.598408699035645 + ], + [ + "▁reviewed", + -11.59843635559082 + ], + [ + "cet", + -11.598450660705566 + ], + [ + "▁virtually", + -11.598487854003906 + ], + [ + "▁Crusher", + -11.59852409362793 + ], + [ + "▁slide", + -11.59858226776123 + ], + [ + "▁générale", + -11.598604202270508 + ], + [ + "▁sensation", + -11.598630905151367 + ], + [ + "▁garlic", + -11.598638534545898 + ], + [ + "5)", + -11.598657608032227 + ], + [ + "▁batteries", + -11.598756790161133 + ], + [ + "SH", + -11.59876823425293 + ], + [ + "▁seller", + -11.59882926940918 + ], + [ + "design", + -11.598871231079102 + ], + [ + "5.", + -11.598944664001465 + ], + [ + "▁Overall", + -11.598969459533691 + ], + [ + "▁investigate", + -11.599058151245117 + ], + [ + "max", + -11.599064826965332 + ], + [ + "▁attach", + -11.599166870117188 + ], + [ + "▁Future", + -11.599209785461426 + ], + [ + "OUR", + -11.599284172058105 + ], + [ + "▁LE", + -11.59968090057373 + ], + [ + "▁bite", + -11.599811553955078 + ], + [ + "tige", + -11.599874496459961 + ], + [ + "▁twist", + -11.59987735748291 + ], + [ + "hole", + -11.600180625915527 + ], + [ + "▁Tony", + -11.600510597229004 + ], + [ + "LU", + -11.600598335266113 + ], + [ + "▁Organization", + -11.600617408752441 + ], + [ + "▁invit", + -11.600632667541504 + ], + [ + "▁Ant", + -11.600739479064941 + ], + [ + "NR", + -11.600788116455078 + ], + [ + "sorgt", + -11.600854873657227 + ], + [ + "▁Lan", + -11.600860595703125 + ], + [ + "▁Manchester", + -11.60091495513916 + ], + [ + "schrift", + -11.601066589355469 + ], + [ + "▁kg", + -11.601150512695312 + ], + [ + "▁aroma", + -11.60132884979248 + ], + [ + "▁Source", + -11.601388931274414 + ], + [ + "▁permite", + -11.601445198059082 + ], + [ + "▁Consider", + -11.601457595825195 + ], + [ + "▁Artist", + -11.601627349853516 + ], + [ + "▁transmit", + -11.601783752441406 + ], + [ + "oasa", + -11.601834297180176 + ], + [ + "▁Zen", + -11.60198974609375 + ], + [ + "ANT", + -11.602235794067383 + ], + [ + "▁consulting", + -11.602404594421387 + ], + [ + "▁commence", + -11.6025390625 + ], + [ + "▁quilt", + -11.60261058807373 + ], + [ + "owned", + -11.602642059326172 + ], + [ + "▁bro", + -11.602689743041992 + ], + [ + "▁integrate", + -11.602715492248535 + ], + [ + "▁Ontario", + -11.602775573730469 + ], + [ + "TF", + -11.602832794189453 + ], + [ + "▁Study", + -11.602887153625488 + ], + [ + "▁ensuite", + -11.603155136108398 + ], + [ + "itatii", + -11.603180885314941 + ], + [ + "Mon", + -11.603235244750977 + ], + [ + "-11", + -11.603299140930176 + ], + [ + "what", + -11.603384017944336 + ], + [ + "▁Things", + -11.60361385345459 + ], + [ + "▁Eye", + -11.603819847106934 + ], + [ + "▁présente", + -11.603828430175781 + ], + [ + "tention", + -11.603915214538574 + ], + [ + "|", + -11.603957176208496 + ], + [ + "stall", + -11.603963851928711 + ], + [ + "▁beef", + -11.603992462158203 + ], + [ + "figur", + -11.604005813598633 + ], + [ + "▁cancel", + -11.604146003723145 + ], + [ + "▁domeniul", + -11.604252815246582 + ], + [ + "▁360", + -11.604290008544922 + ], + [ + "▁sleeping", + -11.6045560836792 + ], + [ + "▁traitement", + -11.604580879211426 + ], + [ + "ühl", + -11.604769706726074 + ], + [ + "▁Environmental", + -11.604835510253906 + ], + [ + "cier", + -11.604894638061523 + ], + [ + "▁NC", + -11.604907035827637 + ], + [ + "pub", + -11.604925155639648 + ], + [ + "▁addiction", + -11.605071067810059 + ], + [ + "▁nest", + -11.605128288269043 + ], + [ + "▁ON", + -11.605395317077637 + ], + [ + "▁discrimin", + -11.605396270751953 + ], + [ + "▁proved", + -11.605517387390137 + ], + [ + "▁occasions", + -11.605864524841309 + ], + [ + "OH", + -11.606184959411621 + ], + [ + "▁lawyers", + -11.606203079223633 + ], + [ + "own", + -11.606290817260742 + ], + [ + "▁Meeting", + -11.606596946716309 + ], + [ + "▁Industrial", + -11.606704711914062 + ], + [ + "owed", + -11.606736183166504 + ], + [ + "▁Cel", + -11.606793403625488 + ], + [ + "legt", + -11.60706615447998 + ], + [ + "ily", + -11.607085227966309 + ], + [ + "▁wins", + -11.607155799865723 + ], + [ + "▁strap", + -11.607367515563965 + ], + [ + "digit", + -11.607441902160645 + ], + [ + "▁hinaus", + -11.607504844665527 + ], + [ + "mple", + -11.607712745666504 + ], + [ + "▁(5", + -11.607797622680664 + ], + [ + "▁pdf", + -11.607894897460938 + ], + [ + "▁eco", + -11.607915878295898 + ], + [ + "▁junior", + -11.608172416687012 + ], + [ + "DB", + -11.608556747436523 + ], + [ + "gelegt", + -11.608636856079102 + ], + [ + "ION", + -11.608678817749023 + ], + [ + "▁competitors", + -11.60880184173584 + ], + [ + "▁Arab", + -11.60898208618164 + ], + [ + "▁Secret", + -11.609148979187012 + ], + [ + "▁Kunst", + -11.609283447265625 + ], + [ + "▁worried", + -11.609297752380371 + ], + [ + "meiner", + -11.609378814697266 + ], + [ + "▁Magic", + -11.609450340270996 + ], + [ + "▁groß", + -11.609537124633789 + ], + [ + "▁travaux", + -11.609748840332031 + ], + [ + "▁sollen", + -11.609772682189941 + ], + [ + "▁Sciences", + -11.609850883483887 + ], + [ + "▁athletes", + -11.610055923461914 + ], + [ + "▁discounts", + -11.610079765319824 + ], + [ + "kit", + -11.610211372375488 + ], + [ + "lind", + -11.610305786132812 + ], + [ + "▁enjoyable", + -11.610421180725098 + ], + [ + "ground", + -11.610489845275879 + ], + [ + "▁Tat", + -11.610529899597168 + ], + [ + "▁passengers", + -11.610576629638672 + ], + [ + "▁Dami", + -11.610677719116211 + ], + [ + "▁Major", + -11.61070728302002 + ], + [ + "watch", + -11.610796928405762 + ], + [ + "working", + -11.610908508300781 + ], + [ + "arrêt", + -11.610923767089844 + ], + [ + "▁subtle", + -11.611069679260254 + ], + [ + "▁epi", + -11.611197471618652 + ], + [ + "▁Jahres", + -11.61128044128418 + ], + [ + "▁cooling", + -11.61141586303711 + ], + [ + "▁makeup", + -11.611427307128906 + ], + [ + "jet", + -11.611495018005371 + ], + [ + "▁Given", + -11.611519813537598 + ], + [ + "plex", + -11.61158275604248 + ], + [ + "▁exploit", + -11.611590385437012 + ], + [ + "rine", + -11.611604690551758 + ], + [ + "▁delivers", + -11.612122535705566 + ], + [ + "▁summary", + -11.612236022949219 + ], + [ + "▁beaches", + -11.612459182739258 + ], + [ + "lift", + -11.612550735473633 + ], + [ + "▁Suite", + -11.612554550170898 + ], + [ + "▁Assistant", + -11.612688064575195 + ], + [ + "▁taxi", + -11.61273193359375 + ], + [ + "▁peaceful", + -11.612805366516113 + ], + [ + "▁Mode", + -11.612980842590332 + ], + [ + "▁Fun", + -11.613059043884277 + ], + [ + "▁diameter", + -11.613142967224121 + ], + [ + "▁phrase", + -11.613150596618652 + ], + [ + "ACT", + -11.613265037536621 + ], + [ + "▁différentes", + -11.613322257995605 + ], + [ + "▁14.", + -11.613417625427246 + ], + [ + "▁CE", + -11.61352825164795 + ], + [ + "▁2)", + -11.613739013671875 + ], + [ + "▁Nat", + -11.613785743713379 + ], + [ + "▁delete", + -11.61388111114502 + ], + [ + "other", + -11.613930702209473 + ], + [ + "hang", + -11.613985061645508 + ], + [ + "▁sujet", + -11.614117622375488 + ], + [ + "▁precise", + -11.614212989807129 + ], + [ + "▁Total", + -11.614290237426758 + ], + [ + "▁chambre", + -11.614483833312988 + ], + [ + "sati", + -11.614666938781738 + ], + [ + "▁Metal", + -11.614995956420898 + ], + [ + "rust", + -11.615038871765137 + ], + [ + "▁Brazil", + -11.615508079528809 + ], + [ + "▁hybrid", + -11.615636825561523 + ], + [ + "ops", + -11.615691184997559 + ], + [ + "▁electro", + -11.615789413452148 + ], + [ + "utz", + -11.61608600616455 + ], + [ + "▁quoi", + -11.616246223449707 + ], + [ + "▁adoption", + -11.616331100463867 + ], + [ + "3.5", + -11.616518020629883 + ], + [ + "50,000", + -11.616599082946777 + ], + [ + "veti", + -11.616630554199219 + ], + [ + "hir", + -11.616957664489746 + ], + [ + "▁adequate", + -11.617067337036133 + ], + [ + "ologist", + -11.617109298706055 + ], + [ + "torii", + -11.617295265197754 + ], + [ + "wasser", + -11.617355346679688 + ], + [ + "▁Authority", + -11.617362976074219 + ], + [ + "▁donation", + -11.617364883422852 + ], + [ + "700", + -11.617375373840332 + ], + [ + "▁somehow", + -11.617375373840332 + ], + [ + "▁kostenlos", + -11.617425918579102 + ], + [ + "▁generations", + -11.617537498474121 + ], + [ + "▁Turkey", + -11.617711067199707 + ], + [ + "rata", + -11.617819786071777 + ], + [ + "▁animation", + -11.618206024169922 + ], + [ + "▁CH", + -11.618281364440918 + ], + [ + "ending", + -11.618317604064941 + ], + [ + "welt", + -11.618376731872559 + ], + [ + "bac", + -11.618380546569824 + ], + [ + "MG", + -11.618460655212402 + ], + [ + "▁parks", + -11.618468284606934 + ], + [ + "▁placing", + -11.618870735168457 + ], + [ + "sort", + -11.61915111541748 + ], + [ + "▁Bitcoin", + -11.619163513183594 + ], + [ + "▁disorder", + -11.619282722473145 + ], + [ + "MAN", + -11.619302749633789 + ], + [ + "aught", + -11.619412422180176 + ], + [ + "▁guides", + -11.61956787109375 + ], + [ + "▁circul", + -11.619651794433594 + ], + [ + "▁Steven", + -11.619954109191895 + ], + [ + "rrière", + -11.619976997375488 + ], + [ + "▁Arch", + -11.61999225616455 + ], + [ + "▁plates", + -11.620091438293457 + ], + [ + "MR", + -11.620118141174316 + ], + [ + "▁cow", + -11.620142936706543 + ], + [ + "▁integrity", + -11.620210647583008 + ], + [ + "▁(18", + -11.620217323303223 + ], + [ + "▁totul", + -11.62024211883545 + ], + [ + "jack", + -11.620373725891113 + ], + [ + "▁privire", + -11.620588302612305 + ], + [ + "▁terme", + -11.620752334594727 + ], + [ + "▁execution", + -11.620781898498535 + ], + [ + "▁organism", + -11.620838165283203 + ], + [ + "▁führen", + -11.620853424072266 + ], + [ + "▁patron", + -11.620940208435059 + ], + [ + "▁appreciated", + -11.62096881866455 + ], + [ + "liant", + -11.62100601196289 + ], + [ + "▁Solar", + -11.621055603027344 + ], + [ + "▁vinyl", + -11.621134757995605 + ], + [ + "▁treasure", + -11.621137619018555 + ], + [ + "▁retro", + -11.621167182922363 + ], + [ + "▁bout", + -11.621174812316895 + ], + [ + "lab", + -11.621183395385742 + ], + [ + "▁dimension", + -11.621394157409668 + ], + [ + "called", + -11.62146282196045 + ], + [ + "▁intern", + -11.621479034423828 + ], + [ + "issement", + -11.62173843383789 + ], + [ + "▁Erst", + -11.621837615966797 + ], + [ + "▁stellen", + -11.621920585632324 + ], + [ + "▁familia", + -11.622069358825684 + ], + [ + "▁notion", + -11.622176170349121 + ], + [ + "▁Could", + -11.622322082519531 + ], + [ + "Getting", + -11.622323036193848 + ], + [ + "▁drives", + -11.622397422790527 + ], + [ + "▁Israeli", + -11.622520446777344 + ], + [ + "▁nations", + -11.622546195983887 + ], + [ + "▁duties", + -11.622700691223145 + ], + [ + "▁personalized", + -11.622788429260254 + ], + [ + "▁weren", + -11.62282657623291 + ], + [ + "▁chemicals", + -11.622847557067871 + ], + [ + "▁killing", + -11.622913360595703 + ], + [ + "▁masa", + -11.622994422912598 + ], + [ + "▁parce", + -11.623026847839355 + ], + [ + "▁lady", + -11.623178482055664 + ], + [ + "ides", + -11.623221397399902 + ], + [ + "▁execut", + -11.62340259552002 + ], + [ + "▁floral", + -11.62341594696045 + ], + [ + "▁Child", + -11.623428344726562 + ], + [ + "▁medal", + -11.623503684997559 + ], + [ + "▁casa", + -11.623603820800781 + ], + [ + "▁enabled", + -11.623650550842285 + ], + [ + "12.", + -11.624239921569824 + ], + [ + "nger", + -11.624266624450684 + ], + [ + "▁vent", + -11.624297142028809 + ], + [ + "▁urmă", + -11.624727249145508 + ], + [ + "▁Herz", + -11.624835968017578 + ], + [ + "▁Jay", + -11.624916076660156 + ], + [ + ".....", + -11.624942779541016 + ], + [ + "▁Kris", + -11.62499713897705 + ], + [ + "kenn", + -11.625001907348633 + ], + [ + "ress", + -11.625027656555176 + ], + [ + "weight", + -11.62519359588623 + ], + [ + "▁indicates", + -11.625198364257812 + ], + [ + "▁mentor", + -11.625328063964844 + ], + [ + "using", + -11.625386238098145 + ], + [ + "▁femmes", + -11.625460624694824 + ], + [ + "▁Jung", + -11.625528335571289 + ], + [ + "▁Send", + -11.625574111938477 + ], + [ + "▁seasons", + -11.625906944274902 + ], + [ + "▁aesthetic", + -11.625964164733887 + ], + [ + "▁Block", + -11.626086235046387 + ], + [ + "▁babies", + -11.626150131225586 + ], + [ + "zig", + -11.626242637634277 + ], + [ + "edge", + -11.626428604125977 + ], + [ + "▁alike", + -11.626458168029785 + ], + [ + "▁immune", + -11.626609802246094 + ], + [ + "▁magical", + -11.626710891723633 + ], + [ + "▁Snow", + -11.626748085021973 + ], + [ + "▁spacious", + -11.627058982849121 + ], + [ + "▁Melbourne", + -11.62706184387207 + ], + [ + "order", + -11.627081871032715 + ], + [ + "▁timing", + -11.627176284790039 + ], + [ + "▁inainte", + -11.627220153808594 + ], + [ + "▁width", + -11.627327919006348 + ], + [ + "bild", + -11.627386093139648 + ], + [ + "Tra", + -11.627429008483887 + ], + [ + "▁appliances", + -11.627449989318848 + ], + [ + "▁dirt", + -11.627498626708984 + ], + [ + "▁Rent", + -11.627689361572266 + ], + [ + "responsibilities", + -11.627747535705566 + ], + [ + "▁blogs", + -11.62778377532959 + ], + [ + "nächsten", + -11.627799034118652 + ], + [ + "▁argue", + -11.627928733825684 + ], + [ + "▁Resume", + -11.627985954284668 + ], + [ + "▁Michel", + -11.628044128417969 + ], + [ + "▁terrible", + -11.628092765808105 + ], + [ + "graph", + -11.628151893615723 + ], + [ + "bird", + -11.628202438354492 + ], + [ + "▁Simple", + -11.628457069396973 + ], + [ + "nning", + -11.628658294677734 + ], + [ + "▁coconut", + -11.628683090209961 + ], + [ + "▁comprise", + -11.628787994384766 + ], + [ + "heure", + -11.628918647766113 + ], + [ + "▁nichts", + -11.628921508789062 + ], + [ + "▁manufacture", + -11.628966331481934 + ], + [ + "▁Sar", + -11.629011154174805 + ], + [ + "green", + -11.629014015197754 + ], + [ + "lining", + -11.62910270690918 + ], + [ + "▁tremendous", + -11.629128456115723 + ], + [ + "▁Wine", + -11.629164695739746 + ], + [ + "gir", + -11.629290580749512 + ], + [ + "▁Nothing", + -11.629562377929688 + ], + [ + "▁Miller", + -11.62957763671875 + ], + [ + "▁Schwe", + -11.629712104797363 + ], + [ + "zone", + -11.629942893981934 + ], + [ + "▁cunoscut", + -11.629964828491211 + ], + [ + "rupt", + -11.630166053771973 + ], + [ + "kle", + -11.630187034606934 + ], + [ + "▁Bucuresti", + -11.630510330200195 + ], + [ + "▁Abend", + -11.630574226379395 + ], + [ + "▁aura", + -11.630583763122559 + ], + [ + "▁Dance", + -11.63073444366455 + ], + [ + "▁Wilson", + -11.63086986541748 + ], + [ + "icide", + -11.630901336669922 + ], + [ + "bai", + -11.630910873413086 + ], + [ + "oriented", + -11.63103199005127 + ], + [ + "▁celebrated", + -11.631421089172363 + ], + [ + "schlag", + -11.631531715393066 + ], + [ + "▁10-", + -11.631600379943848 + ], + [ + "Unsere", + -11.63167667388916 + ], + [ + "énergie", + -11.632009506225586 + ], + [ + "▁qualify", + -11.63205623626709 + ], + [ + "▁contenu", + -11.632177352905273 + ], + [ + "▁Lauf", + -11.63220500946045 + ], + [ + "▁einzelne", + -11.632360458374023 + ], + [ + "▁Youth", + -11.632415771484375 + ], + [ + "explains", + -11.632601737976074 + ], + [ + "grat", + -11.632782936096191 + ], + [ + "▁72", + -11.632804870605469 + ], + [ + "labor", + -11.632885932922363 + ], + [ + "2018", + -11.632940292358398 + ], + [ + "▁Dank", + -11.633149147033691 + ], + [ + "▁Hey", + -11.633523941040039 + ], + [ + "▁refuse", + -11.633536338806152 + ], + [ + "▁graduated", + -11.633599281311035 + ], + [ + "▁României", + -11.633627891540527 + ], + [ + "punkt", + -11.633807182312012 + ], + [ + "▁regulation", + -11.633834838867188 + ], + [ + "Bru", + -11.633842468261719 + ], + [ + "▁Side", + -11.633891105651855 + ], + [ + "▁sol", + -11.633970260620117 + ], + [ + "▁extraordinary", + -11.634182929992676 + ], + [ + "▁ging", + -11.634247779846191 + ], + [ + "▁Creative", + -11.634299278259277 + ], + [ + "▁expanding", + -11.634349822998047 + ], + [ + "▁problème", + -11.63444995880127 + ], + [ + "▁Reserve", + -11.63459300994873 + ], + [ + "auteur", + -11.634642601013184 + ], + [ + "sphere", + -11.634657859802246 + ], + [ + "season", + -11.634716987609863 + ], + [ + "frei", + -11.634756088256836 + ], + [ + "▁8,", + -11.634765625 + ], + [ + "▁filing", + -11.634810447692871 + ], + [ + "▁Complete", + -11.635017395019531 + ], + [ + "▁revolution", + -11.635035514831543 + ], + [ + "▁unele", + -11.63520622253418 + ], + [ + "/8", + -11.635272979736328 + ], + [ + "istes", + -11.635310173034668 + ], + [ + "backed", + -11.635400772094727 + ], + [ + "shirt", + -11.635554313659668 + ], + [ + "▁Details", + -11.635673522949219 + ], + [ + "rod", + -11.635695457458496 + ], + [ + "▁pod", + -11.63582992553711 + ], + [ + "▁operators", + -11.635921478271484 + ], + [ + "was", + -11.635930061340332 + ], + [ + "hou", + -11.63594913482666 + ], + [ + "▁Coach", + -11.636075019836426 + ], + [ + "irii", + -11.636138916015625 + ], + [ + "▁ordinary", + -11.636186599731445 + ], + [ + "Institut", + -11.63620662689209 + ], + [ + "▁Flash", + -11.63633918762207 + ], + [ + "0-", + -11.636537551879883 + ], + [ + "▁flavour", + -11.6367769241333 + ], + [ + "specific", + -11.636906623840332 + ], + [ + "▁landing", + -11.636930465698242 + ], + [ + "▁geo", + -11.636935234069824 + ], + [ + "▁legend", + -11.636983871459961 + ], + [ + "vari", + -11.63703441619873 + ], + [ + "rop", + -11.637084007263184 + ], + [ + "▁Excel", + -11.6370849609375 + ], + [ + "▁Flu", + -11.637203216552734 + ], + [ + "▁intent", + -11.637582778930664 + ], + [ + "▁Deep", + -11.637594223022461 + ], + [ + "▁Kor", + -11.63763427734375 + ], + [ + "▁Philadelphia", + -11.637914657592773 + ], + [ + "▁rând", + -11.63800048828125 + ], + [ + "▁USD", + -11.638033866882324 + ], + [ + "laden", + -11.63803482055664 + ], + [ + "▁Hin", + -11.638047218322754 + ], + [ + "hap", + -11.638197898864746 + ], + [ + "▁thorough", + -11.638227462768555 + ], + [ + "▁oferit", + -11.63826847076416 + ], + [ + "kind", + -11.63831615447998 + ], + [ + "▁Cancer", + -11.638428688049316 + ], + [ + "apo", + -11.638596534729004 + ], + [ + "▁valve", + -11.638650894165039 + ], + [ + "▁encouraging", + -11.63884449005127 + ], + [ + "▁sûr", + -11.638904571533203 + ], + [ + "shing", + -11.638981819152832 + ], + [ + "▁49", + -11.639132499694824 + ], + [ + "gov", + -11.639142990112305 + ], + [ + "▁Five", + -11.63933277130127 + ], + [ + "▁stroke", + -11.639344215393066 + ], + [ + "▁apă", + -11.639398574829102 + ], + [ + "▁gambling", + -11.639543533325195 + ], + [ + "▁nord", + -11.63963508605957 + ], + [ + "onal", + -11.639691352844238 + ], + [ + "▁captured", + -11.63979721069336 + ], + [ + "▁lucruri", + -11.640068054199219 + ], + [ + "serait", + -11.640192985534668 + ], + [ + "▁Members", + -11.640265464782715 + ], + [ + "ital", + -11.640275955200195 + ], + [ + "▁mounted", + -11.640475273132324 + ], + [ + "▁opens", + -11.640792846679688 + ], + [ + "▁Marie", + -11.640861511230469 + ], + [ + "Tech", + -11.640902519226074 + ], + [ + "▁wishes", + -11.641016006469727 + ], + [ + "▁regards", + -11.641073226928711 + ], + [ + "going", + -11.641156196594238 + ], + [ + "Opti", + -11.641250610351562 + ], + [ + "▁femei", + -11.641331672668457 + ], + [ + "▁Fish", + -11.64142894744873 + ], + [ + "▁mount", + -11.641800880432129 + ], + [ + "▁Hunt", + -11.641887664794922 + ], + [ + "▁probabil", + -11.64205265045166 + ], + [ + "▁assured", + -11.642191886901855 + ], + [ + "pho", + -11.642230033874512 + ], + [ + "▁manufactured", + -11.642313003540039 + ], + [ + "▁realistic", + -11.642437934875488 + ], + [ + "ații", + -11.642580032348633 + ], + [ + "▁Planning", + -11.642598152160645 + ], + [ + "▁român", + -11.642645835876465 + ], + [ + "ggy", + -11.642669677734375 + ], + [ + "▁produces", + -11.642696380615234 + ], + [ + "▁reminder", + -11.64284896850586 + ], + [ + "TION", + -11.642868041992188 + ], + [ + "▁brake", + -11.642909049987793 + ], + [ + "▁pla", + -11.643172264099121 + ], + [ + "▁Premium", + -11.643270492553711 + ], + [ + "▁carb", + -11.643310546875 + ], + [ + "▁shine", + -11.643390655517578 + ], + [ + "▁carrier", + -11.643492698669434 + ], + [ + "▁poverty", + -11.64350414276123 + ], + [ + "▁effectiveness", + -11.6436128616333 + ], + [ + "administr", + -11.643655776977539 + ], + [ + "▁Chamber", + -11.643658638000488 + ], + [ + "▁suntem", + -11.64376163482666 + ], + [ + "▁noastră", + -11.643855094909668 + ], + [ + "▁sofort", + -11.643877983093262 + ], + [ + "▁moisture", + -11.644058227539062 + ], + [ + "limb", + -11.6441011428833 + ], + [ + "entre", + -11.644328117370605 + ], + [ + "▁SD", + -11.644330978393555 + ], + [ + "▁BC", + -11.644539833068848 + ], + [ + "▁selecting", + -11.6445951461792 + ], + [ + "achieving", + -11.644673347473145 + ], + [ + "info", + -11.644735336303711 + ], + [ + "▁membres", + -11.644983291625977 + ], + [ + "▁shoe", + -11.645014762878418 + ], + [ + "▁locate", + -11.645065307617188 + ], + [ + "▁assignment", + -11.645085334777832 + ], + [ + "lern", + -11.645283699035645 + ], + [ + "▁defeat", + -11.645406723022461 + ], + [ + "▁endless", + -11.645458221435547 + ], + [ + "▁Stunden", + -11.645523071289062 + ], + [ + "то", + -11.645561218261719 + ], + [ + "▁mur", + -11.645586013793945 + ], + [ + "▁wissen", + -11.645844459533691 + ], + [ + "aime", + -11.645915031433105 + ], + [ + "1-2", + -11.646056175231934 + ], + [ + "▁femme", + -11.646212577819824 + ], + [ + "robe", + -11.646468162536621 + ], + [ + "▁embrace", + -11.64647102355957 + ], + [ + "▁baseball", + -11.646614074707031 + ], + [ + "▁hunting", + -11.64663314819336 + ], + [ + "betrieb", + -11.646790504455566 + ], + [ + "▁gardens", + -11.647045135498047 + ], + [ + "▁risc", + -11.647096633911133 + ], + [ + "▁Cri", + -11.647263526916504 + ], + [ + "best", + -11.647506713867188 + ], + [ + "▁Audio", + -11.647621154785156 + ], + [ + "▁intens", + -11.647659301757812 + ], + [ + "▁Round", + -11.647744178771973 + ], + [ + "▁fireplace", + -11.6478271484375 + ], + [ + "▁dozen", + -11.647912979125977 + ], + [ + "▁hospitals", + -11.64802360534668 + ], + [ + "▁profits", + -11.648076057434082 + ], + [ + "▁Mail", + -11.64811897277832 + ], + [ + "obtenir", + -11.648191452026367 + ], + [ + "▁Ross", + -11.648241996765137 + ], + [ + "bun", + -11.648573875427246 + ], + [ + "polar", + -11.648688316345215 + ], + [ + "▁reflection", + -11.648873329162598 + ], + [ + "▁fut", + -11.648992538452148 + ], + [ + "phon", + -11.649017333984375 + ], + [ + "deck", + -11.649094581604004 + ], + [ + "renowned", + -11.649188041687012 + ], + [ + "▁cate", + -11.649308204650879 + ], + [ + "▁decorative", + -11.6494722366333 + ], + [ + "ieri", + -11.64957332611084 + ], + [ + "▁Tap", + -11.64958381652832 + ], + [ + "▁Dallas", + -11.649600982666016 + ], + [ + "rik", + -11.649665832519531 + ], + [ + "▁pied", + -11.649727821350098 + ], + [ + "rés", + -11.649821281433105 + ], + [ + "ppy", + -11.650137901306152 + ], + [ + "▁bitte", + -11.650188446044922 + ], + [ + "▁cave", + -11.650257110595703 + ], + [ + "▁rescue", + -11.650559425354004 + ], + [ + "▁Hilfe", + -11.650714874267578 + ], + [ + "▁Jason", + -11.650786399841309 + ], + [ + "▁Nations", + -11.650838851928711 + ], + [ + "▁profil", + -11.650938987731934 + ], + [ + "▁Atlantic", + -11.651105880737305 + ], + [ + "▁rub", + -11.651126861572266 + ], + [ + "▁collaborative", + -11.65113353729248 + ], + [ + "étude", + -11.651150703430176 + ], + [ + "▁Workshop", + -11.651389122009277 + ], + [ + "nez", + -11.651628494262695 + ], + [ + "▁chacun", + -11.651714324951172 + ], + [ + "▁Too", + -11.65211296081543 + ], + [ + "App", + -11.652313232421875 + ], + [ + "▁conseil", + -11.652399063110352 + ], + [ + "▁signals", + -11.652474403381348 + ], + [ + "▁Dead", + -11.652497291564941 + ], + [ + "▁Austria", + -11.652522087097168 + ], + [ + "▁slots", + -11.652579307556152 + ], + [ + "▁Dies", + -11.652623176574707 + ], + [ + "raj", + -11.652629852294922 + ], + [ + "stick", + -11.652833938598633 + ], + [ + "▁jaw", + -11.653030395507812 + ], + [ + "▁lounge", + -11.653059005737305 + ], + [ + "curi", + -11.653359413146973 + ], + [ + "nem", + -11.653456687927246 + ], + [ + "▁Cluj", + -11.653512954711914 + ], + [ + "▁rapide", + -11.653584480285645 + ], + [ + "▁companion", + -11.653716087341309 + ], + [ + "▁WE", + -11.653879165649414 + ], + [ + "▁bord", + -11.65389347076416 + ], + [ + "ody", + -11.654045104980469 + ], + [ + "gru", + -11.654057502746582 + ], + [ + "▁46", + -11.654410362243652 + ], + [ + "kra", + -11.654717445373535 + ], + [ + "eller", + -11.65477180480957 + ], + [ + "naire", + -11.65511703491211 + ], + [ + "hose", + -11.655253410339355 + ], + [ + "▁Atlanta", + -11.655254364013672 + ], + [ + "▁violent", + -11.65530776977539 + ], + [ + "▁imagination", + -11.655352592468262 + ], + [ + "▁reward", + -11.655389785766602 + ], + [ + "▁Korean", + -11.655441284179688 + ], + [ + "▁branches", + -11.655501365661621 + ], + [ + "▁GPS", + -11.655625343322754 + ], + [ + "glo", + -11.655633926391602 + ], + [ + "▁condo", + -11.655705451965332 + ], + [ + "▁Investment", + -11.655765533447266 + ], + [ + "▁involvement", + -11.655813217163086 + ], + [ + "▁trap", + -11.655829429626465 + ], + [ + "▁schön", + -11.655872344970703 + ], + [ + "▁ofera", + -11.655933380126953 + ], + [ + "▁unterschiedlich", + -11.65596866607666 + ], + [ + "Net", + -11.655987739562988 + ], + [ + "▁predict", + -11.656113624572754 + ], + [ + "identifying", + -11.656309127807617 + ], + [ + "▁noir", + -11.6566162109375 + ], + [ + "kos", + -11.656816482543945 + ], + [ + "poz", + -11.656816482543945 + ], + [ + "▁11,", + -11.65698528289795 + ], + [ + "▁fitted", + -11.657384872436523 + ], + [ + "MU", + -11.657469749450684 + ], + [ + "TT", + -11.657645225524902 + ], + [ + "▁vrea", + -11.657846450805664 + ], + [ + "▁wound", + -11.657864570617676 + ], + [ + "lac", + -11.657971382141113 + ], + [ + "▁purchases", + -11.658409118652344 + ], + [ + "▁Cape", + -11.65843677520752 + ], + [ + "▁Foto", + -11.658537864685059 + ], + [ + "▁acres", + -11.65865707397461 + ], + [ + "▁nec", + -11.658677101135254 + ], + [ + "▁burning", + -11.659050941467285 + ], + [ + "conf", + -11.659457206726074 + ], + [ + "▁browse", + -11.659486770629883 + ], + [ + "ural", + -11.659762382507324 + ], + [ + "▁Ah", + -11.659841537475586 + ], + [ + "▁stellt", + -11.65992259979248 + ], + [ + "▁ratings", + -11.660012245178223 + ], + [ + "▁Bowl", + -11.660027503967285 + ], + [ + "▁grav", + -11.660289764404297 + ], + [ + "titi", + -11.66048526763916 + ], + [ + "▁prêt", + -11.66075325012207 + ], + [ + "▁fallen", + -11.660818099975586 + ], + [ + "▁nombreuses", + -11.660940170288086 + ], + [ + "train", + -11.660953521728516 + ], + [ + "ène", + -11.661009788513184 + ], + [ + "Aceasta", + -11.661091804504395 + ], + [ + "▁drill", + -11.661421775817871 + ], + [ + "▁Exam", + -11.661477088928223 + ], + [ + "▁Furniture", + -11.661651611328125 + ], + [ + "eanu", + -11.661919593811035 + ], + [ + "étant", + -11.66230297088623 + ], + [ + "sville", + -11.662391662597656 + ], + [ + "▁swim", + -11.662796020507812 + ], + [ + "▁routes", + -11.662826538085938 + ], + [ + "INE", + -11.662860870361328 + ], + [ + "▁Por", + -11.662976264953613 + ], + [ + "ither", + -11.663168907165527 + ], + [ + "▁optim", + -11.663180351257324 + ], + [ + "▁lua", + -11.66331958770752 + ], + [ + "▁myth", + -11.663491249084473 + ], + [ + "▁Bett", + -11.6635103225708 + ], + [ + "chim", + -11.66355037689209 + ], + [ + "▁cyber", + -11.663553237915039 + ], + [ + "▁engineer", + -11.663825035095215 + ], + [ + "▁exploration", + -11.663918495178223 + ], + [ + "arranged", + -11.663973808288574 + ], + [ + "▁aged", + -11.663993835449219 + ], + [ + "▁beau", + -11.664024353027344 + ], + [ + "OUT", + -11.66402530670166 + ], + [ + "▁Minnesota", + -11.664031982421875 + ], + [ + "tress", + -11.664407730102539 + ], + [ + "▁Commercial", + -11.664509773254395 + ], + [ + "▁inspiring", + -11.66462516784668 + ], + [ + "▁Mare", + -11.664725303649902 + ], + [ + "apa", + -11.665140151977539 + ], + [ + "▁ignore", + -11.6651611328125 + ], + [ + "▁gros", + -11.665186882019043 + ], + [ + "▁measurement", + -11.66531753540039 + ], + [ + "ager", + -11.665395736694336 + ], + [ + "intele", + -11.665966987609863 + ], + [ + "▁suspension", + -11.666180610656738 + ], + [ + "▁cultures", + -11.666211128234863 + ], + [ + "▁Wow", + -11.666231155395508 + ], + [ + "▁pushing", + -11.666363716125488 + ], + [ + "▁bands", + -11.666438102722168 + ], + [ + "nage", + -11.666450500488281 + ], + [ + "▁Math", + -11.666515350341797 + ], + [ + "comb", + -11.66658878326416 + ], + [ + "▁créer", + -11.66658878326416 + ], + [ + "▁Lewis", + -11.666685104370117 + ], + [ + "▁VI", + -11.66678524017334 + ], + [ + "emploi", + -11.666791915893555 + ], + [ + "▁elections", + -11.666890144348145 + ], + [ + "▁logic", + -11.666982650756836 + ], + [ + "▁unlike", + -11.667122840881348 + ], + [ + "▁Matthew", + -11.66743278503418 + ], + [ + "▁pă", + -11.667486190795898 + ], + [ + "oxy", + -11.667620658874512 + ], + [ + "équipe", + -11.667717933654785 + ], + [ + "▁worden", + -11.668088912963867 + ], + [ + "dev", + -11.668258666992188 + ], + [ + "▁Massachusetts", + -11.668691635131836 + ], + [ + "▁Return", + -11.668695449829102 + ], + [ + "▁Friends", + -11.66891098022461 + ], + [ + "▁movements", + -11.66894245147705 + ], + [ + "chie", + -11.668964385986328 + ], + [ + "rak", + -11.669017791748047 + ], + [ + "▁Fit", + -11.66904354095459 + ], + [ + "▁copil", + -11.669113159179688 + ], + [ + "iunii", + -11.669188499450684 + ], + [ + "▁intensive", + -11.669234275817871 + ], + [ + "▁rug", + -11.669452667236328 + ], + [ + "lichkeit", + -11.669686317443848 + ], + [ + "kov", + -11.669724464416504 + ], + [ + "▁pense", + -11.66978645324707 + ], + [ + "pop", + -11.66978931427002 + ], + [ + "▁closet", + -11.669865608215332 + ], + [ + "▁prevention", + -11.669920921325684 + ], + [ + "▁Deb", + -11.670256614685059 + ], + [ + "▁devant", + -11.670430183410645 + ], + [ + "▁construit", + -11.670440673828125 + ], + [ + "▁breaks", + -11.67082405090332 + ], + [ + "otic", + -11.670886993408203 + ], + [ + "▁dig", + -11.67088794708252 + ], + [ + "▁près", + -11.670930862426758 + ], + [ + "chte", + -11.671029090881348 + ], + [ + "▁Chat", + -11.671029090881348 + ], + [ + "wel", + -11.671219825744629 + ], + [ + "▁edges", + -11.671272277832031 + ], + [ + "▁keen", + -11.671419143676758 + ], + [ + "▁infant", + -11.671716690063477 + ], + [ + "▁Hills", + -11.6719388961792 + ], + [ + "▁grounds", + -11.671969413757324 + ], + [ + "▁hab", + -11.672039031982422 + ], + [ + "▁Mun", + -11.67215347290039 + ], + [ + "▁references", + -11.672215461730957 + ], + [ + "▁hearts", + -11.672446250915527 + ], + [ + "exprim", + -11.672487258911133 + ], + [ + "▁tratament", + -11.672553062438965 + ], + [ + "LD", + -11.67258358001709 + ], + [ + "ssel", + -11.67275333404541 + ], + [ + "cover", + -11.672782897949219 + ], + [ + "bridge", + -11.672837257385254 + ], + [ + "▁Wein", + -11.672924995422363 + ], + [ + "▁voiture", + -11.673035621643066 + ], + [ + "▁Gemeinde", + -11.67313289642334 + ], + [ + "AI", + -11.673169136047363 + ], + [ + "▁renovation", + -11.673264503479004 + ], + [ + "bid", + -11.673285484313965 + ], + [ + "▁Reading", + -11.673481941223145 + ], + [ + "▁Gor", + -11.673490524291992 + ], + [ + "fur", + -11.673527717590332 + ], + [ + "▁Yoga", + -11.673544883728027 + ], + [ + "▁exclusively", + -11.673630714416504 + ], + [ + "▁emissions", + -11.67385482788086 + ], + [ + "ète", + -11.673905372619629 + ], + [ + "▁glasses", + -11.674055099487305 + ], + [ + "▁organizat", + -11.674135208129883 + ], + [ + "▁washing", + -11.67415714263916 + ], + [ + "▁Audi", + -11.674173355102539 + ], + [ + "▁Labor", + -11.674331665039062 + ], + [ + "▁legacy", + -11.674381256103516 + ], + [ + "▁abstract", + -11.674519538879395 + ], + [ + "▁knowledgeable", + -11.674601554870605 + ], + [ + "▁Glo", + -11.674795150756836 + ], + [ + "▁pregnant", + -11.67481803894043 + ], + [ + "liter", + -11.674851417541504 + ], + [ + "▁paintings", + -11.67522144317627 + ], + [ + "▁tête", + -11.675244331359863 + ], + [ + "voy", + -11.675626754760742 + ], + [ + "▁Jacob", + -11.675667762756348 + ], + [ + "▁dressing", + -11.675679206848145 + ], + [ + "▁provisions", + -11.675768852233887 + ], + [ + "bahn", + -11.675870895385742 + ], + [ + "▁depict", + -11.675875663757324 + ], + [ + "AW", + -11.676068305969238 + ], + [ + "▁bleibt", + -11.676163673400879 + ], + [ + "AND", + -11.676292419433594 + ], + [ + "▁fünf", + -11.676386833190918 + ], + [ + "▁hosts", + -11.676426887512207 + ], + [ + "vas", + -11.676708221435547 + ], + [ + "DO", + -11.67674732208252 + ], + [ + "▁max", + -11.676753997802734 + ], + [ + "▁contributed", + -11.676774978637695 + ], + [ + "roz", + -11.676796913146973 + ], + [ + "▁deschis", + -11.676800727844238 + ], + [ + "itaire", + -11.676809310913086 + ], + [ + "tube", + -11.676959991455078 + ], + [ + "▁Beck", + -11.676959991455078 + ], + [ + "▁curious", + -11.677130699157715 + ], + [ + "▁waves", + -11.677178382873535 + ], + [ + "▁regret", + -11.677248001098633 + ], + [ + "FO", + -11.677326202392578 + ], + [ + "droit", + -11.67734146118164 + ], + [ + "rö", + -11.677565574645996 + ], + [ + "▁Panel", + -11.677624702453613 + ], + [ + "▁pile", + -11.677660942077637 + ], + [ + "▁installing", + -11.677674293518066 + ], + [ + "▁Intr", + -11.677797317504883 + ], + [ + "nung", + -11.677823066711426 + ], + [ + "▁Outdoor", + -11.677855491638184 + ], + [ + "▁generator", + -11.67786693572998 + ], + [ + "▁zahlreiche", + -11.677868843078613 + ], + [ + "▁Third", + -11.67813491821289 + ], + [ + "frac", + -11.678180694580078 + ], + [ + "ovi", + -11.678236961364746 + ], + [ + "▁Casa", + -11.678374290466309 + ], + [ + "▁stomach", + -11.678393363952637 + ], + [ + "▁Lincoln", + -11.67844009399414 + ], + [ + "▁Electronic", + -11.678584098815918 + ], + [ + "coding", + -11.67895221710205 + ], + [ + "2017", + -11.67900276184082 + ], + [ + "▁friendship", + -11.679238319396973 + ], + [ + "ried", + -11.679250717163086 + ], + [ + "но", + -11.679265022277832 + ], + [ + "▁tail", + -11.679267883300781 + ], + [ + "▁petits", + -11.679308891296387 + ], + [ + "▁réseau", + -11.679696083068848 + ], + [ + "▁churches", + -11.679999351501465 + ], + [ + "▁marketplace", + -11.680062294006348 + ], + [ + "▁Pool", + -11.680318832397461 + ], + [ + "▁popularity", + -11.680455207824707 + ], + [ + "▁sprijin", + -11.680496215820312 + ], + [ + "▁Od", + -11.680527687072754 + ], + [ + "▁Transfer", + -11.680562973022461 + ], + [ + "▁fake", + -11.680791854858398 + ], + [ + "▁9,", + -11.681007385253906 + ], + [ + "▁weit", + -11.681264877319336 + ], + [ + "▁relaxed", + -11.681415557861328 + ], + [ + "pig", + -11.68161678314209 + ], + [ + "▁Lauren", + -11.68166732788086 + ], + [ + "gesetzt", + -11.681669235229492 + ], + [ + "▁Clar", + -11.681694984436035 + ], + [ + "▁unlikely", + -11.681731224060059 + ], + [ + "color", + -11.681832313537598 + ], + [ + "▁spouse", + -11.681843757629395 + ], + [ + "▁facile", + -11.681859970092773 + ], + [ + "▁Speed", + -11.681872367858887 + ], + [ + "KE", + -11.682230949401855 + ], + [ + "▁PO", + -11.68231201171875 + ], + [ + "▁Channel", + -11.682321548461914 + ], + [ + "argent", + -11.682356834411621 + ], + [ + "▁Making", + -11.682430267333984 + ], + [ + "▁Coll", + -11.682585716247559 + ], + [ + "cci", + -11.682721138000488 + ], + [ + "corresponding", + -11.68300724029541 + ], + [ + "▁heaven", + -11.683160781860352 + ], + [ + "ţă", + -11.68319320678711 + ], + [ + "▁darüber", + -11.683236122131348 + ], + [ + "acted", + -11.683420181274414 + ], + [ + "only", + -11.683460235595703 + ], + [ + "▁slight", + -11.683465003967285 + ], + [ + "lian", + -11.68348503112793 + ], + [ + "flă", + -11.683510780334473 + ], + [ + "▁vulnerable", + -11.683530807495117 + ], + [ + "▁creator", + -11.68356704711914 + ], + [ + "▁protecting", + -11.68360424041748 + ], + [ + "writing", + -11.68360710144043 + ], + [ + "▁Ter", + -11.68387222290039 + ], + [ + "▁barb", + -11.683987617492676 + ], + [ + "▁dată", + -11.683995246887207 + ], + [ + "▁Screen", + -11.684052467346191 + ], + [ + "▁BBC", + -11.684082984924316 + ], + [ + "Col", + -11.684206008911133 + ], + [ + "fung", + -11.684453964233398 + ], + [ + "▁dreptul", + -11.684494972229004 + ], + [ + "derived", + -11.684538841247559 + ], + [ + "▁designated", + -11.684553146362305 + ], + [ + "▁interactions", + -11.684617042541504 + ], + [ + "SG", + -11.684621810913086 + ], + [ + "▁häufig", + -11.684625625610352 + ], + [ + "▁Mega", + -11.684638023376465 + ], + [ + "▁jazz", + -11.684660911560059 + ], + [ + "lbs", + -11.684797286987305 + ], + [ + "▁Manual", + -11.68484115600586 + ], + [ + "pushed", + -11.685017585754395 + ], + [ + "▁analytics", + -11.685234069824219 + ], + [ + "▁lawsuit", + -11.68533706665039 + ], + [ + "▁gray", + -11.685364723205566 + ], + [ + "shirts", + -11.685401916503906 + ], + [ + "▁hill", + -11.685508728027344 + ], + [ + "▁1991", + -11.68550968170166 + ], + [ + "▁obligations", + -11.685568809509277 + ], + [ + "▁Dubai", + -11.68580436706543 + ], + [ + "()", + -11.685808181762695 + ], + [ + "▁acceptable", + -11.685810089111328 + ], + [ + "therapist", + -11.685877799987793 + ], + [ + "inger", + -11.6860990524292 + ], + [ + "▁territory", + -11.686208724975586 + ], + [ + "▁sang", + -11.6862211227417 + ], + [ + "ät", + -11.686224937438965 + ], + [ + "▁Zukunft", + -11.686238288879395 + ], + [ + "TU", + -11.68657398223877 + ], + [ + "▁horizontal", + -11.68665599822998 + ], + [ + "▁entrepreneurs", + -11.686710357666016 + ], + [ + "▁Eltern", + -11.687017440795898 + ], + [ + "▁presentations", + -11.687129974365234 + ], + [ + "▁confirmation", + -11.687173843383789 + ], + [ + "▁technological", + -11.687432289123535 + ], + [ + "▁1989", + -11.687530517578125 + ], + [ + "EF", + -11.687640190124512 + ], + [ + "ponent", + -11.687663078308105 + ], + [ + "NET", + -11.687699317932129 + ], + [ + "750", + -11.687772750854492 + ], + [ + "▁desert", + -11.687891960144043 + ], + [ + "▁contribu", + -11.687932968139648 + ], + [ + "▁Gun", + -11.687944412231445 + ], + [ + "▁Juli", + -11.688091278076172 + ], + [ + "ERS", + -11.688261985778809 + ], + [ + "▁inceput", + -11.688261985778809 + ], + [ + "▁answered", + -11.688369750976562 + ], + [ + "▁basement", + -11.688410758972168 + ], + [ + "film", + -11.688434600830078 + ], + [ + "▁taille", + -11.688593864440918 + ], + [ + "▁survival", + -11.688655853271484 + ], + [ + "ihnen", + -11.68869400024414 + ], + [ + "▁Bird", + -11.688840866088867 + ], + [ + "speed", + -11.689336776733398 + ], + [ + "▁journalist", + -11.68941879272461 + ], + [ + "▁Indonesia", + -11.689626693725586 + ], + [ + "▁15.", + -11.689973831176758 + ], + [ + "▁19.", + -11.690025329589844 + ], + [ + "étaient", + -11.690114974975586 + ], + [ + "▁tennis", + -11.69024658203125 + ], + [ + "▁aproximativ", + -11.69039249420166 + ], + [ + "▁Hans", + -11.690650939941406 + ], + [ + "▁Remove", + -11.69067096710205 + ], + [ + "▁cats", + -11.691022872924805 + ], + [ + "▁calories", + -11.691052436828613 + ], + [ + "▁limitations", + -11.69119644165039 + ], + [ + "▁subscribe", + -11.691198348999023 + ], + [ + "▁Dem", + -11.691339492797852 + ], + [ + "lust", + -11.691370010375977 + ], + [ + "▁adresa", + -11.691394805908203 + ], + [ + "▁sais", + -11.69140911102295 + ], + [ + "...\"", + -11.691473960876465 + ], + [ + "▁Luft", + -11.691485404968262 + ], + [ + "DL", + -11.691597938537598 + ], + [ + "▁estimates", + -11.691600799560547 + ], + [ + "▁protocol", + -11.691603660583496 + ], + [ + "▁Namen", + -11.691776275634766 + ], + [ + "▁grands", + -11.691901206970215 + ], + [ + "▁voter", + -11.691970825195312 + ], + [ + "▁vacuum", + -11.692075729370117 + ], + [ + "▁versch", + -11.692103385925293 + ], + [ + "▁Democratic", + -11.692107200622559 + ], + [ + "▁Books", + -11.692170143127441 + ], + [ + "▁frames", + -11.692727088928223 + ], + [ + "▁Bee", + -11.692864418029785 + ], + [ + "▁helfen", + -11.692934036254883 + ], + [ + "▁dive", + -11.692963600158691 + ], + [ + "▁physician", + -11.693037033081055 + ], + [ + "▁powered", + -11.693131446838379 + ], + [ + "▁zones", + -11.693337440490723 + ], + [ + "▁regime", + -11.69345474243164 + ], + [ + "check", + -11.693578720092773 + ], + [ + "11.", + -11.693793296813965 + ], + [ + "▁plaisir", + -11.693793296813965 + ], + [ + "▁physically", + -11.693811416625977 + ], + [ + "▁Pul", + -11.694245338439941 + ], + [ + "▁jardin", + -11.694294929504395 + ], + [ + "▁Nur", + -11.694417953491211 + ], + [ + "WC", + -11.694425582885742 + ], + [ + "▁Lock", + -11.694506645202637 + ], + [ + "▁économique", + -11.694530487060547 + ], + [ + "user", + -11.694536209106445 + ], + [ + "▁commit", + -11.694731712341309 + ], + [ + "▁oldest", + -11.694764137268066 + ], + [ + "▁fulfill", + -11.694780349731445 + ], + [ + "▁nervous", + -11.69482135772705 + ], + [ + "▁SH", + -11.695014953613281 + ], + [ + "SK", + -11.695150375366211 + ], + [ + "▁plein", + -11.695291519165039 + ], + [ + "show", + -11.695354461669922 + ], + [ + "▁disability", + -11.695356369018555 + ], + [ + "papier", + -11.69544506072998 + ], + [ + "▁Corp", + -11.695611000061035 + ], + [ + "ători", + -11.695676803588867 + ], + [ + "nţă", + -11.695813179016113 + ], + [ + "▁overseas", + -11.696009635925293 + ], + [ + "▁struck", + -11.69603157043457 + ], + [ + "astic", + -11.69607162475586 + ], + [ + "▁advised", + -11.696088790893555 + ], + [ + "BE", + -11.696161270141602 + ], + [ + "▁UV", + -11.696218490600586 + ], + [ + "patient", + -11.69626235961914 + ], + [ + "▁texte", + -11.696344375610352 + ], + [ + "▁timely", + -11.696444511413574 + ], + [ + "used", + -11.696471214294434 + ], + [ + "▁occasionally", + -11.696524620056152 + ], + [ + "▁entries", + -11.696550369262695 + ], + [ + "underlying", + -11.6967191696167 + ], + [ + "01.", + -11.696748733520508 + ], + [ + "▁automated", + -11.696791648864746 + ], + [ + "yes", + -11.696828842163086 + ], + [ + "▁Staff", + -11.697057723999023 + ], + [ + "▁Einzel", + -11.697546005249023 + ], + [ + "quit", + -11.697687149047852 + ], + [ + "▁Cela", + -11.697951316833496 + ], + [ + "▁snap", + -11.698298454284668 + ], + [ + "▁followers", + -11.698330879211426 + ], + [ + "CN", + -11.698709487915039 + ], + [ + "▁Cooper", + -11.698892593383789 + ], + [ + "ô", + -11.698921203613281 + ], + [ + "▁memorable", + -11.698965072631836 + ], + [ + "▁jur", + -11.698996543884277 + ], + [ + "▁ajutorul", + -11.69905948638916 + ], + [ + "▁Enter", + -11.6991548538208 + ], + [ + "Often", + -11.699294090270996 + ], + [ + "▁dintr", + -11.699341773986816 + ], + [ + "-30", + -11.699419975280762 + ], + [ + "ESS", + -11.699454307556152 + ], + [ + "▁weird", + -11.699462890625 + ], + [ + "▁Animal", + -11.699706077575684 + ], + [ + "▁complement", + -11.699719429016113 + ], + [ + "▁Bot", + -11.699756622314453 + ], + [ + "▁darf", + -11.699764251708984 + ], + [ + "yed", + -11.699808120727539 + ], + [ + "▁Mul", + -11.699872016906738 + ], + [ + "lick", + -11.700080871582031 + ], + [ + "▁Cambridge", + -11.700216293334961 + ], + [ + "adore", + -11.700407981872559 + ], + [ + "▁Dutch", + -11.700420379638672 + ], + [ + "▁Castle", + -11.700431823730469 + ], + [ + "igi", + -11.700563430786133 + ], + [ + "▁enemy", + -11.70071029663086 + ], + [ + "accompanied", + -11.700725555419922 + ], + [ + "▁teren", + -11.701102256774902 + ], + [ + "▁ET", + -11.701498985290527 + ], + [ + "ffle", + -11.701557159423828 + ], + [ + "-15", + -11.701651573181152 + ], + [ + "▁Geo", + -11.701680183410645 + ], + [ + "▁attractions", + -11.701730728149414 + ], + [ + "iker", + -11.70185661315918 + ], + [ + "▁bă", + -11.701990127563477 + ], + [ + "▁heal", + -11.701995849609375 + ], + [ + "weisen", + -11.702144622802734 + ], + [ + "▁spectrum", + -11.702186584472656 + ], + [ + "meld", + -11.702394485473633 + ], + [ + "▁eveniment", + -11.70247745513916 + ], + [ + "arra", + -11.702478408813477 + ], + [ + "rete", + -11.70250129699707 + ], + [ + "▁Had", + -11.70250415802002 + ], + [ + "looking", + -11.702692031860352 + ], + [ + "isierung", + -11.702805519104004 + ], + [ + "▁moyen", + -11.703129768371582 + ], + [ + "▁gesamte", + -11.703202247619629 + ], + [ + "▁destroy", + -11.703407287597656 + ], + [ + "125", + -11.703518867492676 + ], + [ + "▁suivant", + -11.703913688659668 + ], + [ + "▁declared", + -11.703925132751465 + ], + [ + "▁Urban", + -11.704131126403809 + ], + [ + "▁16.", + -11.704168319702148 + ], + [ + "▁Beg", + -11.704168319702148 + ], + [ + "▁canal", + -11.704225540161133 + ], + [ + "▁Pres", + -11.70431137084961 + ], + [ + "▁geeignet", + -11.704339981079102 + ], + [ + "▁strat", + -11.704365730285645 + ], + [ + "UB", + -11.704395294189453 + ], + [ + "▁Alexander", + -11.704424858093262 + ], + [ + "cycle", + -11.704666137695312 + ], + [ + "▁Var", + -11.704802513122559 + ], + [ + "▁domin", + -11.704805374145508 + ], + [ + "▁lasting", + -11.704939842224121 + ], + [ + "terio", + -11.705262184143066 + ], + [ + "▁Battle", + -11.705339431762695 + ], + [ + "▁publications", + -11.705647468566895 + ], + [ + "▁implica", + -11.705886840820312 + ], + [ + "▁NA", + -11.705963134765625 + ], + [ + "▁stocks", + -11.706036567687988 + ], + [ + "Plat", + -11.70611572265625 + ], + [ + "▁excitement", + -11.706149101257324 + ], + [ + "▁Muslim", + -11.706524848937988 + ], + [ + "▁Mari", + -11.706530570983887 + ], + [ + "▁Ul", + -11.706647872924805 + ], + [ + "nächst", + -11.706757545471191 + ], + [ + "▁trait", + -11.706833839416504 + ], + [ + "▁(3)", + -11.706852912902832 + ], + [ + "▁Attorney", + -11.706894874572754 + ], + [ + "▁Malaysia", + -11.70689582824707 + ], + [ + "▁slab", + -11.706960678100586 + ], + [ + "▁dam", + -11.707113265991211 + ], + [ + "▁Bir", + -11.707226753234863 + ], + [ + "▁sing", + -11.70738410949707 + ], + [ + "▁Culture", + -11.7073974609375 + ], + [ + "UD", + -11.707417488098145 + ], + [ + "▁Mes", + -11.707443237304688 + ], + [ + "ități", + -11.707615852355957 + ], + [ + "▁possess", + -11.708173751831055 + ], + [ + "enabling", + -11.70820426940918 + ], + [ + "▁settled", + -11.708335876464844 + ], + [ + "▁sagen", + -11.708492279052734 + ], + [ + "▁erfolgt", + -11.708564758300781 + ], + [ + "dog", + -11.708600997924805 + ], + [ + "ndu", + -11.708732604980469 + ], + [ + "ității", + -11.708745002746582 + ], + [ + "▁Islam", + -11.708930015563965 + ], + [ + "▁catalog", + -11.708931922912598 + ], + [ + "▁simt", + -11.709102630615234 + ], + [ + "tische", + -11.709150314331055 + ], + [ + "▁Mach", + -11.709334373474121 + ], + [ + "▁EP", + -11.709359169006348 + ], + [ + "▁Certified", + -11.709386825561523 + ], + [ + "▁Resources", + -11.70945930480957 + ], + [ + "▁Past", + -11.709607124328613 + ], + [ + "▁Termin", + -11.709755897521973 + ], + [ + "▁lightweight", + -11.709755897521973 + ], + [ + "▁championship", + -11.70994758605957 + ], + [ + "gebiet", + -11.710122108459473 + ], + [ + "▁jurisdiction", + -11.710135459899902 + ], + [ + "▁euros", + -11.710169792175293 + ], + [ + "▁Familien", + -11.710554122924805 + ], + [ + "▁GT", + -11.710677146911621 + ], + [ + "▁dvs", + -11.71081256866455 + ], + [ + "▁nouveaux", + -11.710838317871094 + ], + [ + "▁chill", + -11.710916519165039 + ], + [ + "▁ridicat", + -11.710920333862305 + ], + [ + "his", + -11.711079597473145 + ], + [ + "▁Indi", + -11.711159706115723 + ], + [ + "▁arrested", + -11.71116828918457 + ], + [ + "ităţii", + -11.711170196533203 + ], + [ + "onul", + -11.711274147033691 + ], + [ + "appar", + -11.711296081542969 + ], + [ + "▁Bachelor", + -11.711297988891602 + ], + [ + "▁erfolgreich", + -11.711426734924316 + ], + [ + "▁versatile", + -11.71163558959961 + ], + [ + "▁nécessaire", + -11.711761474609375 + ], + [ + "▁facial", + -11.712160110473633 + ], + [ + "▁Bull", + -11.712226867675781 + ], + [ + "Comm", + -11.712237358093262 + ], + [ + "atte", + -11.712307929992676 + ], + [ + "hom", + -11.7123384475708 + ], + [ + "start", + -11.712576866149902 + ], + [ + "▁roughly", + -11.712936401367188 + ], + [ + "▁bay", + -11.712984085083008 + ], + [ + "▁american", + -11.712986946105957 + ], + [ + "▁Wisconsin", + -11.713135719299316 + ], + [ + "▁Clinton", + -11.713142395019531 + ], + [ + "appareil", + -11.713153839111328 + ], + [ + "▁liberal", + -11.713455200195312 + ], + [ + "▁dau", + -11.713519096374512 + ], + [ + "ech", + -11.713521957397461 + ], + [ + "2014", + -11.713624000549316 + ], + [ + "▁lip", + -11.713645935058594 + ], + [ + "▁maintenant", + -11.713762283325195 + ], + [ + "▁Sil", + -11.713805198669434 + ], + [ + "rben", + -11.713891983032227 + ], + [ + "▁contents", + -11.713980674743652 + ], + [ + "▁magnetic", + -11.714111328125 + ], + [ + "▁terre", + -11.714151382446289 + ], + [ + "▁Rights", + -11.714475631713867 + ], + [ + "lose", + -11.714570045471191 + ], + [ + "▁crown", + -11.71468448638916 + ], + [ + "▁oils", + -11.7147216796875 + ], + [ + "▁entertaining", + -11.714841842651367 + ], + [ + "▁Option", + -11.714848518371582 + ], + [ + "▁Previous", + -11.714916229248047 + ], + [ + "▁vrai", + -11.714930534362793 + ], + [ + "▁Auswahl", + -11.715056419372559 + ], + [ + "▁horses", + -11.715106010437012 + ], + [ + "▁Author", + -11.71533489227295 + ], + [ + "▁Writing", + -11.715461730957031 + ], + [ + "▁travelling", + -11.715522766113281 + ], + [ + "▁350", + -11.715567588806152 + ], + [ + "daten", + -11.71560287475586 + ], + [ + "zan", + -11.715765953063965 + ], + [ + "▁sweat", + -11.715924263000488 + ], + [ + "▁Junior", + -11.715970993041992 + ], + [ + "markt", + -11.71609878540039 + ], + [ + "after", + -11.716105461120605 + ], + [ + "▁admitted", + -11.716262817382812 + ], + [ + "▁1950", + -11.716347694396973 + ], + [ + "▁Sche", + -11.71648120880127 + ], + [ + "▁dorit", + -11.716818809509277 + ], + [ + "▁transferred", + -11.716958045959473 + ], + [ + "utilise", + -11.717194557189941 + ], + [ + "sitz", + -11.717301368713379 + ], + [ + "gio", + -11.717320442199707 + ], + [ + "▁bisher", + -11.717473983764648 + ], + [ + "RD", + -11.717491149902344 + ], + [ + "▁Wales", + -11.717747688293457 + ], + [ + "▁smoking", + -11.717904090881348 + ], + [ + "dire", + -11.717939376831055 + ], + [ + "▁seating", + -11.717979431152344 + ], + [ + "▁constat", + -11.718056678771973 + ], + [ + "▁Hub", + -11.718324661254883 + ], + [ + "▁sieht", + -11.718345642089844 + ], + [ + "▁prospect", + -11.718378067016602 + ], + [ + "▁RO", + -11.718413352966309 + ], + [ + "▁Wars", + -11.718423843383789 + ], + [ + "eek", + -11.718496322631836 + ], + [ + "▁Bring", + -11.718646049499512 + ], + [ + "▁bleiben", + -11.718696594238281 + ], + [ + "arri", + -11.718826293945312 + ], + [ + "inal", + -11.718904495239258 + ], + [ + "▁Maryland", + -11.718932151794434 + ], + [ + "▁Process", + -11.719145774841309 + ], + [ + "They", + -11.719154357910156 + ], + [ + "▁Oxford", + -11.719176292419434 + ], + [ + "▁neat", + -11.719330787658691 + ], + [ + "▁cinema", + -11.719597816467285 + ], + [ + "▁Ist", + -11.719620704650879 + ], + [ + "▁vegan", + -11.719682693481445 + ], + [ + "wall", + -11.719708442687988 + ], + [ + "▁motive", + -11.72010612487793 + ], + [ + "▁mature", + -11.720544815063477 + ], + [ + "▁Dragon", + -11.720653533935547 + ], + [ + "▁google", + -11.720677375793457 + ], + [ + "blick", + -11.72110652923584 + ], + [ + "▁Cod", + -11.721220970153809 + ], + [ + "▁suffi", + -11.721319198608398 + ], + [ + "▁terrorist", + -11.721478462219238 + ], + [ + "Posted", + -11.721484184265137 + ], + [ + "▁Schi", + -11.72157096862793 + ], + [ + "▁Marc", + -11.721597671508789 + ], + [ + "▁operates", + -11.721661567687988 + ], + [ + "gress", + -11.721805572509766 + ], + [ + "has", + -11.721899032592773 + ], + [ + "sole", + -11.722108840942383 + ], + [ + "▁Buck", + -11.722122192382812 + ], + [ + "impl", + -11.722160339355469 + ], + [ + "▁Ron", + -11.722172737121582 + ], + [ + "▁handled", + -11.722346305847168 + ], + [ + "▁Apr", + -11.722347259521484 + ], + [ + "▁Storage", + -11.722467422485352 + ], + [ + "▁temp", + -11.722512245178223 + ], + [ + "▁differently", + -11.722614288330078 + ], + [ + "▁wherever", + -11.722670555114746 + ], + [ + "matched", + -11.722695350646973 + ], + [ + "rios", + -11.72276496887207 + ], + [ + "▁surprising", + -11.722846031188965 + ], + [ + "teilen", + -11.722867965698242 + ], + [ + "▁difficulties", + -11.72294807434082 + ], + [ + "tab", + -11.723064422607422 + ], + [ + "▁Leader", + -11.723128318786621 + ], + [ + "implementing", + -11.723372459411621 + ], + [ + "▁workforce", + -11.723384857177734 + ], + [ + "▁bereit", + -11.723503112792969 + ], + [ + "vig", + -11.72352123260498 + ], + [ + "▁LOVE", + -11.723580360412598 + ], + [ + "▁instances", + -11.723954200744629 + ], + [ + "▁frumos", + -11.723960876464844 + ], + [ + "▁Java", + -11.723974227905273 + ], + [ + "▁arrest", + -11.723977088928223 + ], + [ + "▁apparent", + -11.724152565002441 + ], + [ + "▁hence", + -11.724200248718262 + ], + [ + "▁entwickelt", + -11.72437572479248 + ], + [ + "▁Fra", + -11.724471092224121 + ], + [ + "▁prend", + -11.724486351013184 + ], + [ + "ließ", + -11.724522590637207 + ], + [ + "▁drawer", + -11.724671363830566 + ], + [ + "ARD", + -11.724926948547363 + ], + [ + "▁caring", + -11.72499942779541 + ], + [ + "▁wollte", + -11.725024223327637 + ], + [ + "▁vielleicht", + -11.72511100769043 + ], + [ + "▁iconic", + -11.725324630737305 + ], + [ + "äch", + -11.72552490234375 + ], + [ + "abel", + -11.725639343261719 + ], + [ + "▁génér", + -11.72570514678955 + ], + [ + "ault", + -11.725727081298828 + ], + [ + "▁alternatives", + -11.725909233093262 + ], + [ + "think", + -11.726025581359863 + ], + [ + "ро", + -11.726055145263672 + ], + [ + "whereas", + -11.726058006286621 + ], + [ + "erei", + -11.726366996765137 + ], + [ + "▁Eagle", + -11.726766586303711 + ], + [ + "situé", + -11.72704792022705 + ], + [ + "▁laboratory", + -11.727157592773438 + ], + [ + "▁Nutzung", + -11.727256774902344 + ], + [ + "▁Bathroom", + -11.72728157043457 + ], + [ + "▁loaded", + -11.727293968200684 + ], + [ + "niste", + -11.727408409118652 + ], + [ + "som", + -11.727429389953613 + ], + [ + "▁aucun", + -11.727666854858398 + ], + [ + "gebracht", + -11.727676391601562 + ], + [ + "▁tomb", + -11.727771759033203 + ], + [ + "▁Ty", + -11.727785110473633 + ], + [ + "▁afaceri", + -11.727971076965332 + ], + [ + "tex", + -11.72803783416748 + ], + [ + "ality", + -11.728147506713867 + ], + [ + "▁identification", + -11.728150367736816 + ], + [ + "▁cultiv", + -11.728255271911621 + ], + [ + "Not", + -11.728326797485352 + ], + [ + "▁acestor", + -11.72846508026123 + ], + [ + "▁PhD", + -11.728466033935547 + ], + [ + "nell", + -11.728470802307129 + ], + [ + "▁dial", + -11.728594779968262 + ], + [ + "chro", + -11.728673934936523 + ], + [ + "▁specifications", + -11.728682518005371 + ], + [ + "anii", + -11.72877025604248 + ], + [ + "▁cloth", + -11.728836059570312 + ], + [ + "▁highway", + -11.728914260864258 + ], + [ + "▁Vitamin", + -11.729118347167969 + ], + [ + "▁indication", + -11.729349136352539 + ], + [ + "80%", + -11.72959041595459 + ], + [ + "▁Lion", + -11.729681015014648 + ], + [ + "▁10,", + -11.729693412780762 + ], + [ + "▁Werk", + -11.72974967956543 + ], + [ + "▁combin", + -11.729803085327148 + ], + [ + "▁releases", + -11.7298583984375 + ], + [ + "LL", + -11.730006217956543 + ], + [ + "ktor", + -11.730186462402344 + ], + [ + "ufgrund", + -11.73018741607666 + ], + [ + "calc", + -11.73034381866455 + ], + [ + "▁accomplished", + -11.730606079101562 + ], + [ + "▁los", + -11.730619430541992 + ], + [ + "▁distant", + -11.730688095092773 + ], + [ + "▁secteur", + -11.73068904876709 + ], + [ + "logue", + -11.730781555175781 + ], + [ + "▁betting", + -11.730792999267578 + ], + [ + "elf", + -11.731180191040039 + ], + [ + "puteti", + -11.73123550415039 + ], + [ + "▁Moment", + -11.731236457824707 + ], + [ + "▁scoring", + -11.731548309326172 + ], + [ + "▁freuen", + -11.731572151184082 + ], + [ + "▁fastest", + -11.731873512268066 + ], + [ + "▁directors", + -11.732080459594727 + ], + [ + "▁fame", + -11.732234954833984 + ], + [ + "▁complaint", + -11.732239723205566 + ], + [ + "▁Ep", + -11.732314109802246 + ], + [ + "▁delicate", + -11.732329368591309 + ], + [ + "annonce", + -11.73240852355957 + ], + [ + "ext", + -11.732454299926758 + ], + [ + "▁quit", + -11.732473373413086 + ], + [ + "▁Cop", + -11.73253345489502 + ], + [ + "prop", + -11.732565879821777 + ], + [ + "365", + -11.732742309570312 + ], + [ + "▁Say", + -11.732879638671875 + ], + [ + "▁internationale", + -11.733064651489258 + ], + [ + "cott", + -11.733213424682617 + ], + [ + "▁Whatever", + -11.733261108398438 + ], + [ + "▁admir", + -11.733261108398438 + ], + [ + "▁bucur", + -11.733549118041992 + ], + [ + "▁entity", + -11.733779907226562 + ], + [ + "▁dancing", + -11.733837127685547 + ], + [ + "▁printre", + -11.733892440795898 + ], + [ + "▁meditation", + -11.734396934509277 + ], + [ + "▁avis", + -11.734416961669922 + ], + [ + "▁1988", + -11.73447036743164 + ], + [ + "10.", + -11.734506607055664 + ], + [ + "▁worker", + -11.734638214111328 + ], + [ + "▁$100", + -11.734784126281738 + ], + [ + "▁contrôle", + -11.7349853515625 + ], + [ + "▁insist", + -11.734997749328613 + ], + [ + "ements", + -11.73505973815918 + ], + [ + "izate", + -11.735163688659668 + ], + [ + "▁tied", + -11.735332489013672 + ], + [ + "▁correspond", + -11.735396385192871 + ], + [ + "▁apartments", + -11.735547065734863 + ], + [ + "▁2009.", + -11.735599517822266 + ], + [ + "▁tiles", + -11.735624313354492 + ], + [ + "▁boots", + -11.735639572143555 + ], + [ + "▁laundry", + -11.735673904418945 + ], + [ + "▁Coffee", + -11.735674858093262 + ], + [ + "▁CV", + -11.735727310180664 + ], + [ + "▁composed", + -11.736035346984863 + ], + [ + "atom", + -11.73622989654541 + ], + [ + "▁shore", + -11.736270904541016 + ], + [ + "▁marijuana", + -11.736312866210938 + ], + [ + "plic", + -11.73648452758789 + ], + [ + "▁Zahl", + -11.736649513244629 + ], + [ + "depth", + -11.73682689666748 + ], + [ + "▁Egypt", + -11.736854553222656 + ], + [ + "▁NFL", + -11.736906051635742 + ], + [ + "▁12,", + -11.736922264099121 + ], + [ + "▁pollution", + -11.736964225769043 + ], + [ + "▁Vergleich", + -11.73704719543457 + ], + [ + "û", + -11.737109184265137 + ], + [ + "▁nurse", + -11.737153053283691 + ], + [ + "▁Susan", + -11.737173080444336 + ], + [ + "▁verify", + -11.737393379211426 + ], + [ + "▁kon", + -11.737504959106445 + ], + [ + "▁ulei", + -11.7376127243042 + ], + [ + "▁Sept", + -11.737699508666992 + ], + [ + "▁Location", + -11.737908363342285 + ], + [ + "▁frozen", + -11.737991333007812 + ], + [ + "good", + -11.73802661895752 + ], + [ + "▁cine", + -11.738066673278809 + ], + [ + "forming", + -11.738181114196777 + ], + [ + "▁Near", + -11.738391876220703 + ], + [ + "▁Tab", + -11.738545417785645 + ], + [ + "▁Alexandr", + -11.738600730895996 + ], + [ + "ст", + -11.73863697052002 + ], + [ + "CK", + -11.738656044006348 + ], + [ + "▁loads", + -11.738948822021484 + ], + [ + "▁disorders", + -11.738957405090332 + ], + [ + "hip", + -11.739596366882324 + ], + [ + "▁blessing", + -11.73987102508545 + ], + [ + "▁vechi", + -11.73997688293457 + ], + [ + "▁Bookmark", + -11.740296363830566 + ], + [ + "SON", + -11.74036979675293 + ], + [ + "books", + -11.740428924560547 + ], + [ + "▁tropical", + -11.740438461303711 + ], + [ + "▁Garten", + -11.740447044372559 + ], + [ + "ôt", + -11.740760803222656 + ], + [ + "tures", + -11.740827560424805 + ], + [ + "▁obligation", + -11.741010665893555 + ], + [ + "▁admin", + -11.741011619567871 + ], + [ + "▁sélection", + -11.741106986999512 + ], + [ + "disp", + -11.741172790527344 + ], + [ + "▁Anyone", + -11.741225242614746 + ], + [ + "keeper", + -11.74138355255127 + ], + [ + "▁konnten", + -11.741521835327148 + ], + [ + "▁existe", + -11.741615295410156 + ], + [ + "▁Rund", + -11.741798400878906 + ], + [ + "▁retailers", + -11.74184799194336 + ], + [ + "folg", + -11.741948127746582 + ], + [ + "▁urmare", + -11.742019653320312 + ], + [ + "▁Liebe", + -11.742321014404297 + ], + [ + "▁actors", + -11.742422103881836 + ], + [ + "▁Druck", + -11.742618560791016 + ], + [ + "lien", + -11.742752075195312 + ], + [ + "sian", + -11.742847442626953 + ], + [ + "▁partid", + -11.74304485321045 + ], + [ + "▁loin", + -11.743114471435547 + ], + [ + "AZ", + -11.743119239807129 + ], + [ + "oasă", + -11.743501663208008 + ], + [ + "▁inclusiv", + -11.743656158447266 + ], + [ + "TD", + -11.743680953979492 + ], + [ + "▁anului", + -11.743766784667969 + ], + [ + "poc", + -11.743844985961914 + ], + [ + "▁musique", + -11.743972778320312 + ], + [ + "▁Hart", + -11.743997573852539 + ], + [ + "Sh", + -11.744283676147461 + ], + [ + "html", + -11.744290351867676 + ], + [ + "▁serial", + -11.744318008422852 + ], + [ + "țele", + -11.744369506835938 + ], + [ + "inning", + -11.744544982910156 + ], + [ + "▁Bureau", + -11.744555473327637 + ], + [ + "▁rush", + -11.744626998901367 + ], + [ + "▁deosebit", + -11.744637489318848 + ], + [ + "▁Wort", + -11.744648933410645 + ], + [ + "▁Thailand", + -11.744688987731934 + ], + [ + "▁Language", + -11.745193481445312 + ], + [ + "▁Governor", + -11.745213508605957 + ], + [ + "▁Later", + -11.74525260925293 + ], + [ + "rilor", + -11.745282173156738 + ], + [ + "▁activités", + -11.745372772216797 + ], + [ + "schaffen", + -11.745598793029785 + ], + [ + "▁harvest", + -11.74567985534668 + ], + [ + "▁municipal", + -11.745783805847168 + ], + [ + "einander", + -11.74600601196289 + ], + [ + "▁fingers", + -11.746383666992188 + ], + [ + "▁sculpture", + -11.74638843536377 + ], + [ + "▁Bien", + -11.746390342712402 + ], + [ + "▁departments", + -11.746562957763672 + ], + [ + "▁période", + -11.746746063232422 + ], + [ + "▁jeune", + -11.746960639953613 + ], + [ + "▁governments", + -11.74710750579834 + ], + [ + "uter", + -11.747179985046387 + ], + [ + "Aceste", + -11.747220039367676 + ], + [ + "▁Deal", + -11.747243881225586 + ], + [ + "▁Equipment", + -11.74726390838623 + ], + [ + "nous", + -11.747300148010254 + ], + [ + "▁gate", + -11.747315406799316 + ], + [ + "▁meta", + -11.747447967529297 + ], + [ + "▁stiu", + -11.747474670410156 + ], + [ + "fold", + -11.747486114501953 + ], + [ + "▁seule", + -11.747523307800293 + ], + [ + "▁varied", + -11.747541427612305 + ], + [ + "hit", + -11.747635841369629 + ], + [ + "▁DIY", + -11.74768352508545 + ], + [ + "▁lemn", + -11.747685432434082 + ], + [ + "OB", + -11.747865676879883 + ], + [ + "▁colorful", + -11.748095512390137 + ], + [ + "▁câ", + -11.74826431274414 + ], + [ + "▁semester", + -11.74830150604248 + ], + [ + "▁dealer", + -11.748575210571289 + ], + [ + "nett", + -11.748788833618164 + ], + [ + "▁shortly", + -11.748932838439941 + ], + [ + "▁Driver", + -11.748983383178711 + ], + [ + "culture", + -11.749052047729492 + ], + [ + "▁permitted", + -11.749072074890137 + ], + [ + "▁sorts", + -11.749432563781738 + ], + [ + "▁crop", + -11.74999713897705 + ], + [ + "▁valoare", + -11.75046157836914 + ], + [ + "▁analog", + -11.750576972961426 + ], + [ + "▁excuse", + -11.750588417053223 + ], + [ + "▁modèle", + -11.750657081604004 + ], + [ + "When", + -11.75068473815918 + ], + [ + "▁march", + -11.750744819641113 + ], + [ + "haz", + -11.750978469848633 + ], + [ + "▁minimize", + -11.750992774963379 + ], + [ + "traction", + -11.751028060913086 + ], + [ + "▁caracter", + -11.752382278442383 + ], + [ + "▁modules", + -11.7523832321167 + ], + [ + "clu", + -11.75244426727295 + ], + [ + "ţional", + -11.752482414245605 + ], + [ + "▁breach", + -11.752562522888184 + ], + [ + "▁priced", + -11.752614974975586 + ], + [ + "▁attorneys", + -11.752644538879395 + ], + [ + "▁implant", + -11.752645492553711 + ], + [ + "▁ANY", + -11.752655029296875 + ], + [ + "dition", + -11.752707481384277 + ], + [ + "▁trials", + -11.752838134765625 + ], + [ + "▁Nas", + -11.75293254852295 + ], + [ + "Pre", + -11.752970695495605 + ], + [ + "lorsque", + -11.752979278564453 + ], + [ + "plin", + -11.753050804138184 + ], + [ + "Er", + -11.753056526184082 + ], + [ + "▁Dom", + -11.753067970275879 + ], + [ + "▁tire", + -11.753190040588379 + ], + [ + "sili", + -11.753233909606934 + ], + [ + "▁coins", + -11.753350257873535 + ], + [ + "▁rend", + -11.753470420837402 + ], + [ + "▁reliability", + -11.753503799438477 + ], + [ + "▁Analysis", + -11.753508567810059 + ], + [ + "▁trails", + -11.753692626953125 + ], + [ + "trägt", + -11.753762245178223 + ], + [ + "▁Kansas", + -11.753908157348633 + ], + [ + "▁responsive", + -11.75390911102295 + ], + [ + "▁disappear", + -11.753988265991211 + ], + [ + "▁stakeholders", + -11.754022598266602 + ], + [ + "▁aplica", + -11.754164695739746 + ], + [ + "▁imi", + -11.754180908203125 + ], + [ + "▁Laura", + -11.754369735717773 + ], + [ + "▁Terms", + -11.75440788269043 + ], + [ + "450", + -11.754460334777832 + ], + [ + "▁voltage", + -11.754483222961426 + ], + [ + "▁Gel", + -11.754544258117676 + ], + [ + "▁qualities", + -11.754549026489258 + ], + [ + "▁qualifi", + -11.754603385925293 + ], + [ + "▁Mé", + -11.754735946655273 + ], + [ + "bereit", + -11.754829406738281 + ], + [ + "gleich", + -11.754875183105469 + ], + [ + "▁voting", + -11.754961013793945 + ], + [ + "▁trademark", + -11.755128860473633 + ], + [ + "▁2.5", + -11.75515079498291 + ], + [ + "ND", + -11.755438804626465 + ], + [ + "▁Kelly", + -11.755470275878906 + ], + [ + "▁weiteren", + -11.755559921264648 + ], + [ + "▁filters", + -11.75562572479248 + ], + [ + "▁coût", + -11.75562858581543 + ], + [ + "jur", + -11.755765914916992 + ], + [ + "acre", + -11.755804061889648 + ], + [ + "▁retired", + -11.756022453308105 + ], + [ + "▁Engine", + -11.756205558776855 + ], + [ + "▁président", + -11.756264686584473 + ], + [ + "ajul", + -11.756307601928711 + ], + [ + "▁GA", + -11.756425857543945 + ], + [ + "rät", + -11.75666332244873 + ], + [ + "▁instructor", + -11.756669998168945 + ], + [ + "▁Allen", + -11.75668716430664 + ], + [ + "▁Delhi", + -11.756771087646484 + ], + [ + "▁cure", + -11.756844520568848 + ], + [ + "seite", + -11.756898880004883 + ], + [ + "coming", + -11.756914138793945 + ], + [ + "▁mixing", + -11.756963729858398 + ], + [ + "▁Kno", + -11.757041931152344 + ], + [ + "▁Sure", + -11.757079124450684 + ], + [ + "▁hired", + -11.757102012634277 + ], + [ + "▁participated", + -11.757196426391602 + ], + [ + "Count", + -11.757320404052734 + ], + [ + "treffen", + -11.757355690002441 + ], + [ + "▁54", + -11.75735855102539 + ], + [ + "▁rings", + -11.75735855102539 + ], + [ + "▁Thor", + -11.757359504699707 + ], + [ + "éro", + -11.75744915008545 + ], + [ + "▁buttons", + -11.757488250732422 + ], + [ + "▁47", + -11.757539749145508 + ], + [ + "▁Tel", + -11.757694244384766 + ], + [ + "▁suport", + -11.757776260375977 + ], + [ + "▁rhythm", + -11.75782585144043 + ], + [ + "▁Theater", + -11.758113861083984 + ], + [ + "▁informatii", + -11.758121490478516 + ], + [ + "hält", + -11.758201599121094 + ], + [ + "▁ouvert", + -11.758238792419434 + ], + [ + "fewer", + -11.75828742980957 + ], + [ + "▁alumni", + -11.758466720581055 + ], + [ + "▁valley", + -11.758508682250977 + ], + [ + "tial", + -11.75860595703125 + ], + [ + "***", + -11.758782386779785 + ], + [ + "kri", + -11.75905704498291 + ], + [ + "▁accidents", + -11.759113311767578 + ], + [ + "▁barrel", + -11.759170532226562 + ], + [ + "mobil", + -11.759310722351074 + ], + [ + "etti", + -11.759437561035156 + ], + [ + "▁immigration", + -11.759515762329102 + ], + [ + "▁poveste", + -11.759528160095215 + ], + [ + "hren", + -11.759669303894043 + ], + [ + "hydr", + -11.759719848632812 + ], + [ + "▁tweet", + -11.759744644165039 + ], + [ + "▁zip", + -11.759872436523438 + ], + [ + "▁Bonus", + -11.760189056396484 + ], + [ + "ordnung", + -11.760287284851074 + ], + [ + "liber", + -11.76046085357666 + ], + [ + "▁Navy", + -11.760591506958008 + ], + [ + "▁agreements", + -11.760612487792969 + ], + [ + "▁detection", + -11.7607421875 + ], + [ + "DF", + -11.760762214660645 + ], + [ + "hur", + -11.760774612426758 + ], + [ + "0.00", + -11.760798454284668 + ], + [ + "▁07", + -11.760866165161133 + ], + [ + "etta", + -11.760884284973145 + ], + [ + "▁13,", + -11.760887145996094 + ], + [ + "rolled", + -11.760970115661621 + ], + [ + "▁injection", + -11.761002540588379 + ], + [ + "mig", + -11.761017799377441 + ], + [ + "wach", + -11.761107444763184 + ], + [ + "▁choisir", + -11.761515617370605 + ], + [ + "▁professionnels", + -11.76159954071045 + ], + [ + "▁Tower", + -11.76169490814209 + ], + [ + "▁neighbor", + -11.76170539855957 + ], + [ + "deutschen", + -11.76187801361084 + ], + [ + "▁luxurious", + -11.76201057434082 + ], + [ + "▁walks", + -11.762033462524414 + ], + [ + "reti", + -11.762046813964844 + ], + [ + "▁Pad", + -11.762085914611816 + ], + [ + "wise", + -11.762297630310059 + ], + [ + "▁exhaust", + -11.762307167053223 + ], + [ + "▁demonstration", + -11.762582778930664 + ], + [ + "▁agricultural", + -11.762667655944824 + ], + [ + "Upon", + -11.762885093688965 + ], + [ + "▁Blu", + -11.76292610168457 + ], + [ + "atorul", + -11.762967109680176 + ], + [ + "amour", + -11.762984275817871 + ], + [ + "issant", + -11.763004302978516 + ], + [ + "▁delighted", + -11.763031959533691 + ], + [ + "rita", + -11.763113021850586 + ], + [ + "requiring", + -11.763195037841797 + ], + [ + "ivity", + -11.763216972351074 + ], + [ + "▁Unser", + -11.763306617736816 + ], + [ + "FP", + -11.763379096984863 + ], + [ + "fait", + -11.763533592224121 + ], + [ + "dite", + -11.763562202453613 + ], + [ + "kul", + -11.763716697692871 + ], + [ + "arth", + -11.76376724243164 + ], + [ + "▁Ker", + -11.763815879821777 + ], + [ + "torilor", + -11.763816833496094 + ], + [ + "stage", + -11.763866424560547 + ], + [ + "▁HTML", + -11.76398754119873 + ], + [ + "▁Wheel", + -11.764005661010742 + ], + [ + "▁quelque", + -11.76414680480957 + ], + [ + "▁Ou", + -11.764196395874023 + ], + [ + "▁considerable", + -11.764277458190918 + ], + [ + "▁Sco", + -11.76458740234375 + ], + [ + "▁donations", + -11.76481819152832 + ], + [ + "dessen", + -11.765002250671387 + ], + [ + "▁pourquoi", + -11.765039443969727 + ], + [ + "▁Bow", + -11.765189170837402 + ], + [ + "▁Dupa", + -11.76522445678711 + ], + [ + "ska", + -11.765707015991211 + ], + [ + "hot", + -11.765732765197754 + ], + [ + "▁drove", + -11.765849113464355 + ], + [ + "▁oppos", + -11.766018867492676 + ], + [ + "▁hiking", + -11.766035079956055 + ], + [ + "▁Boot", + -11.766081809997559 + ], + [ + "One", + -11.766087532043457 + ], + [ + "▁guvern", + -11.766094207763672 + ], + [ + "▁15,", + -11.766400337219238 + ], + [ + "scheid", + -11.766437530517578 + ], + [ + "▁Miet", + -11.766458511352539 + ], + [ + "▁Technical", + -11.766767501831055 + ], + [ + "▁Dal", + -11.7669038772583 + ], + [ + "▁Metro", + -11.766966819763184 + ], + [ + "▁Baker", + -11.767215728759766 + ], + [ + "▁trece", + -11.767252922058105 + ], + [ + "tained", + -11.767302513122559 + ], + [ + "block", + -11.76738452911377 + ], + [ + "▁wander", + -11.767401695251465 + ], + [ + "▁penalty", + -11.76742172241211 + ], + [ + "▁shipped", + -11.767509460449219 + ], + [ + "▁30%", + -11.767518043518066 + ], + [ + "group", + -11.767541885375977 + ], + [ + "▁brothers", + -11.767701148986816 + ], + [ + "▁comanda", + -11.767777442932129 + ], + [ + "▁retreat", + -11.767789840698242 + ], + [ + "▁Movie", + -11.767802238464355 + ], + [ + "PU", + -11.76787281036377 + ], + [ + "▁Jun", + -11.767885208129883 + ], + [ + "▁$6", + -11.767969131469727 + ], + [ + "▁Fal", + -11.768054962158203 + ], + [ + "▁Palestinian", + -11.768075942993164 + ], + [ + "▁soccer", + -11.768217086791992 + ], + [ + "▁Autor", + -11.768254280090332 + ], + [ + "▁chamber", + -11.768266677856445 + ], + [ + "nement", + -11.768463134765625 + ], + [ + "▁offense", + -11.768610954284668 + ], + [ + "▁gig", + -11.768631935119629 + ], + [ + "▁abandon", + -11.768691062927246 + ], + [ + "▁Kraft", + -11.768783569335938 + ], + [ + "▁Medicare", + -11.768784523010254 + ], + [ + "▁soap", + -11.768835067749023 + ], + [ + "▁Fur", + -11.768990516662598 + ], + [ + "▁conditioning", + -11.769103050231934 + ], + [ + "rained", + -11.769132614135742 + ], + [ + "▁puts", + -11.769134521484375 + ], + [ + "▁cod", + -11.76930046081543 + ], + [ + "lassen", + -11.76941967010498 + ], + [ + "FL", + -11.769600868225098 + ], + [ + "▁komplett", + -11.769664764404297 + ], + [ + "▁entscheiden", + -11.769665718078613 + ], + [ + "▁Hour", + -11.769691467285156 + ], + [ + "?!", + -11.770040512084961 + ], + [ + "Stream", + -11.770145416259766 + ], + [ + "▁Grad", + -11.770209312438965 + ], + [ + "▁gently", + -11.770231246948242 + ], + [ + "▁poetry", + -11.770429611206055 + ], + [ + "▁secured", + -11.770438194274902 + ], + [ + "oph", + -11.770466804504395 + ], + [ + "hop", + -11.770561218261719 + ], + [ + "handel", + -11.770634651184082 + ], + [ + "▁besoins", + -11.770658493041992 + ], + [ + "got", + -11.770824432373047 + ], + [ + "▁Chrome", + -11.77088737487793 + ], + [ + "ILL", + -11.770930290222168 + ], + [ + "▁Schritt", + -11.771014213562012 + ], + [ + "▁spell", + -11.771063804626465 + ], + [ + "▁grinding", + -11.771334648132324 + ], + [ + "▁ramp", + -11.77144718170166 + ], + [ + "▁mama", + -11.7716064453125 + ], + [ + "▁bottles", + -11.77180290222168 + ], + [ + "▁canvas", + -11.771906852722168 + ], + [ + "▁ecosystem", + -11.77194595336914 + ], + [ + "aţii", + -11.771967887878418 + ], + [ + "cellular", + -11.772085189819336 + ], + [ + "▁Spin", + -11.772164344787598 + ], + [ + "▁Discover", + -11.772217750549316 + ], + [ + "-17", + -11.772322654724121 + ], + [ + "▁feeding", + -11.77246379852295 + ], + [ + "▁stops", + -11.7725191116333 + ], + [ + "▁haute", + -11.772552490234375 + ], + [ + "▁Entscheidung", + -11.7725830078125 + ], + [ + "▁semble", + -11.772590637207031 + ], + [ + "▁acele", + -11.772857666015625 + ], + [ + "▁Walk", + -11.773154258728027 + ], + [ + "▁joke", + -11.773180961608887 + ], + [ + "▁Fed", + -11.773294448852539 + ], + [ + "climat", + -11.773306846618652 + ], + [ + "▁Lot", + -11.773460388183594 + ], + [ + "runner", + -11.773551940917969 + ], + [ + "▁flip", + -11.773786544799805 + ], + [ + "▁werde", + -11.773818016052246 + ], + [ + "▁Deck", + -11.77417278289795 + ], + [ + "bala", + -11.774296760559082 + ], + [ + "▁sacrifice", + -11.774375915527344 + ], + [ + "cid", + -11.774388313293457 + ], + [ + "him", + -11.774569511413574 + ], + [ + "zahlen", + -11.774587631225586 + ], + [ + "▁heater", + -11.774596214294434 + ], + [ + "formed", + -11.774619102478027 + ], + [ + "plus", + -11.774711608886719 + ], + [ + "▁util", + -11.774742126464844 + ], + [ + "rama", + -11.775019645690918 + ], + [ + "(4)", + -11.7750244140625 + ], + [ + "▁knife", + -11.775111198425293 + ], + [ + "▁traditions", + -11.77520751953125 + ], + [ + "▁dip", + -11.775357246398926 + ], + [ + "kill", + -11.775405883789062 + ], + [ + "▁Rich", + -11.775418281555176 + ], + [ + "▁DI", + -11.775555610656738 + ], + [ + "▁containers", + -11.775677680969238 + ], + [ + "▁locuri", + -11.775728225708008 + ], + [ + "▁continent", + -11.775797843933105 + ], + [ + "teilung", + -11.776005744934082 + ], + [ + "▁vreme", + -11.776028633117676 + ], + [ + "organisation", + -11.776126861572266 + ], + [ + "serie", + -11.776135444641113 + ], + [ + "▁Diamond", + -11.776204109191895 + ], + [ + "magazin", + -11.77627944946289 + ], + [ + "▁poster", + -11.776455879211426 + ], + [ + "▁passenger", + -11.7765474319458 + ], + [ + "▁soldiers", + -11.776552200317383 + ], + [ + "▁urgent", + -11.776616096496582 + ], + [ + "▁Lip", + -11.77680778503418 + ], + [ + "▁aşa", + -11.776972770690918 + ], + [ + "▁BO", + -11.777024269104004 + ], + [ + "▁somebody", + -11.777076721191406 + ], + [ + "▁silence", + -11.777132034301758 + ], + [ + "cop", + -11.777359962463379 + ], + [ + "▁Burn", + -11.77749252319336 + ], + [ + "▁stopping", + -11.777544021606445 + ], + [ + "▁essence", + -11.777568817138672 + ], + [ + "▁hitting", + -11.777762413024902 + ], + [ + "▁producers", + -11.777801513671875 + ], + [ + "▁fibre", + -11.777894020080566 + ], + [ + "▁seasonal", + -11.777960777282715 + ], + [ + "▁tara", + -11.778096199035645 + ], + [ + "▁Jose", + -11.778099060058594 + ], + [ + "▁Better", + -11.77825927734375 + ], + [ + "▁steep", + -11.778295516967773 + ], + [ + "Alors", + -11.778353691101074 + ], + [ + "▁collecting", + -11.778507232666016 + ], + [ + "vre", + -11.778635025024414 + ], + [ + "▁disabled", + -11.77863883972168 + ], + [ + "▁voters", + -11.778679847717285 + ], + [ + "consuming", + -11.779092788696289 + ], + [ + "deemed", + -11.779115676879883 + ], + [ + "éra", + -11.779227256774902 + ], + [ + "opération", + -11.779273986816406 + ], + [ + "▁roller", + -11.779305458068848 + ], + [ + "Rather", + -11.779321670532227 + ], + [ + "▁leider", + -11.779370307922363 + ], + [ + "▁IV", + -11.779434204101562 + ], + [ + "▁erreichen", + -11.779473304748535 + ], + [ + "▁charging", + -11.779657363891602 + ], + [ + "tions", + -11.77973747253418 + ], + [ + "tiques", + -11.779861450195312 + ], + [ + "▁formats", + -11.779876708984375 + ], + [ + "▁painful", + -11.78000545501709 + ], + [ + "▁eager", + -11.780061721801758 + ], + [ + "generation", + -11.780137062072754 + ], + [ + "anna", + -11.780235290527344 + ], + [ + "▁races", + -11.780323028564453 + ], + [ + "force", + -11.780357360839844 + ], + [ + "▁ferm", + -11.780522346496582 + ], + [ + "▁breathing", + -11.780618667602539 + ], + [ + "▁offen", + -11.780648231506348 + ], + [ + "▁minds", + -11.780805587768555 + ], + [ + "▁musste", + -11.780832290649414 + ], + [ + "▁Vision", + -11.780888557434082 + ], + [ + "▁Installation", + -11.780988693237305 + ], + [ + "▁hesitate", + -11.781002044677734 + ], + [ + "▁somit", + -11.781023979187012 + ], + [ + "hôtel", + -11.781044006347656 + ], + [ + "cab", + -11.781235694885254 + ], + [ + "-16", + -11.781312942504883 + ], + [ + "▁Visual", + -11.781418800354004 + ], + [ + "intérêt", + -11.781524658203125 + ], + [ + "▁apel", + -11.781831741333008 + ], + [ + "therapy", + -11.782089233398438 + ], + [ + "volt", + -11.78225040435791 + ], + [ + "▁Rou", + -11.782439231872559 + ], + [ + "▁efficace", + -11.782464027404785 + ], + [ + "▁architectural", + -11.782605171203613 + ], + [ + "▁privilege", + -11.782670974731445 + ], + [ + "▁treating", + -11.782711029052734 + ], + [ + "▁Tam", + -11.782722473144531 + ], + [ + "tsch", + -11.782744407653809 + ], + [ + "building", + -11.782750129699707 + ], + [ + "▁associations", + -11.782929420471191 + ], + [ + "▁Consumer", + -11.783424377441406 + ], + [ + "▁Lim", + -11.783496856689453 + ], + [ + "newest", + -11.7835054397583 + ], + [ + "▁față", + -11.783675193786621 + ], + [ + "▁ships", + -11.783732414245605 + ], + [ + "lev", + -11.78373908996582 + ], + [ + "raft", + -11.783817291259766 + ], + [ + "▁variations", + -11.783845901489258 + ], + [ + "▁noua", + -11.78386402130127 + ], + [ + "▁Cab", + -11.784063339233398 + ], + [ + "1.2", + -11.78409481048584 + ], + [ + "▁ocazi", + -11.784347534179688 + ], + [ + "▁recommendation", + -11.784449577331543 + ], + [ + "titled", + -11.78445053100586 + ], + [ + "▁invoice", + -11.78459644317627 + ], + [ + "▁noastra", + -11.784647941589355 + ], + [ + "kur", + -11.784700393676758 + ], + [ + "issent", + -11.784758567810059 + ], + [ + "base", + -11.784778594970703 + ], + [ + "hä", + -11.7848482131958 + ], + [ + "888", + -11.784914016723633 + ], + [ + "▁declar", + -11.784941673278809 + ], + [ + "▁Football", + -11.7850341796875 + ], + [ + "▁Indeed", + -11.785293579101562 + ], + [ + "▁weapon", + -11.785333633422852 + ], + [ + "▁destroyed", + -11.785457611083984 + ], + [ + "▁enormous", + -11.785594940185547 + ], + [ + "▁blanket", + -11.7857084274292 + ], + [ + "▁aktiv", + -11.785759925842285 + ], + [ + "raw", + -11.785791397094727 + ], + [ + "▁computing", + -11.785823822021484 + ], + [ + "6)", + -11.785955429077148 + ], + [ + "▁Dam", + -11.786152839660645 + ], + [ + "▁confort", + -11.786174774169922 + ], + [ + "▁Gla", + -11.786198616027832 + ], + [ + "hardly", + -11.786242485046387 + ], + [ + "▁annually", + -11.786269187927246 + ], + [ + "▁destinations", + -11.786401748657227 + ], + [ + "▁guilty", + -11.786404609680176 + ], + [ + "▁scholarship", + -11.786439895629883 + ], + [ + "▁harmful", + -11.786453247070312 + ], + [ + "▁2-3", + -11.786616325378418 + ], + [ + "▁Race", + -11.786638259887695 + ], + [ + "▁hypo", + -11.78671646118164 + ], + [ + "▁shorter", + -11.786733627319336 + ], + [ + "quest", + -11.78675651550293 + ], + [ + "uze", + -11.786812782287598 + ], + [ + "izi", + -11.787005424499512 + ], + [ + "OO", + -11.787095069885254 + ], + [ + "▁Schutz", + -11.787097930908203 + ], + [ + "▁Teilnehmer", + -11.787185668945312 + ], + [ + "▁profiles", + -11.787199020385742 + ], + [ + "▁sustainability", + -11.78747272491455 + ], + [ + "▁emb", + -11.787489891052246 + ], + [ + "▁Augen", + -11.787516593933105 + ], + [ + "▁outdoors", + -11.787542343139648 + ], + [ + "▁Individual", + -11.787548065185547 + ], + [ + "▁pou", + -11.78757095336914 + ], + [ + "▁Together", + -11.787575721740723 + ], + [ + "HT", + -11.787674903869629 + ], + [ + "suited", + -11.787755012512207 + ], + [ + "▁tro", + -11.787782669067383 + ], + [ + "▁Strom", + -11.787805557250977 + ], + [ + "▁achievement", + -11.78799819946289 + ], + [ + "▁Range", + -11.78815746307373 + ], + [ + "tory", + -11.78817081451416 + ], + [ + "▁distribute", + -11.788250923156738 + ], + [ + "▁letzte", + -11.788276672363281 + ], + [ + "incorporated", + -11.788287162780762 + ], + [ + "▁Kir", + -11.788325309753418 + ], + [ + "ruf", + -11.78839111328125 + ], + [ + "▁disappointed", + -11.788543701171875 + ], + [ + "▁referral", + -11.788602828979492 + ], + [ + "flam", + -11.788687705993652 + ], + [ + "▁excessive", + -11.7886962890625 + ], + [ + "▁rapidement", + -11.788743019104004 + ], + [ + "▁Rio", + -11.78875732421875 + ], + [ + "aţia", + -11.788951873779297 + ], + [ + "▁meuble", + -11.78912353515625 + ], + [ + "▁2008.", + -11.789135932922363 + ], + [ + "▁Gall", + -11.78915023803711 + ], + [ + "▁française", + -11.789369583129883 + ], + [ + "▁ladies", + -11.789695739746094 + ], + [ + "ailed", + -11.789746284484863 + ], + [ + "El", + -11.789834976196289 + ], + [ + "▁wines", + -11.789868354797363 + ], + [ + "▁beispielsweise", + -11.789876937866211 + ], + [ + "▁gamme", + -11.790193557739258 + ], + [ + "▁guided", + -11.79028034210205 + ], + [ + "▁plin", + -11.790339469909668 + ], + [ + "Î", + -11.790390968322754 + ], + [ + "▁True", + -11.790498733520508 + ], + [ + "▁Temple", + -11.790507316589355 + ], + [ + "▁Pic", + -11.790520668029785 + ], + [ + "permalink", + -11.790547370910645 + ], + [ + "▁vedea", + -11.790656089782715 + ], + [ + "▁rank", + -11.790922164916992 + ], + [ + "▁Grill", + -11.791025161743164 + ], + [ + "clin", + -11.791070938110352 + ], + [ + "▁Hab", + -11.791089057922363 + ], + [ + "▁odds", + -11.791125297546387 + ], + [ + "▁anytime", + -11.791146278381348 + ], + [ + "▁Thanksgiving", + -11.791265487670898 + ], + [ + "guard", + -11.791300773620605 + ], + [ + "▁essays", + -11.791389465332031 + ], + [ + "▁PE", + -11.79139518737793 + ], + [ + "▁Rechts", + -11.791494369506836 + ], + [ + "mals", + -11.791751861572266 + ], + [ + "achi", + -11.791762351989746 + ], + [ + "▁Anthony", + -11.791765213012695 + ], + [ + "▁réponse", + -11.792036056518555 + ], + [ + "standing", + -11.79227352142334 + ], + [ + "▁Mol", + -11.792427062988281 + ], + [ + "▁Canon", + -11.792474746704102 + ], + [ + "▁silk", + -11.792515754699707 + ], + [ + "▁pourrait", + -11.79278564453125 + ], + [ + "▁raport", + -11.79280948638916 + ], + [ + "▁Woche", + -11.792889595031738 + ], + [ + "fallen", + -11.79293155670166 + ], + [ + "sting", + -11.79310131072998 + ], + [ + "▁circulation", + -11.793102264404297 + ], + [ + "▁skirt", + -11.7931547164917 + ], + [ + "▁Title", + -11.793187141418457 + ], + [ + "▁17.", + -11.79331111907959 + ], + [ + "▁Touch", + -11.793486595153809 + ], + [ + "▁utilizat", + -11.79352855682373 + ], + [ + "▁Organisation", + -11.793569564819336 + ], + [ + "▁mereu", + -11.793848991394043 + ], + [ + "▁oxygen", + -11.793953895568848 + ], + [ + "lique", + -11.793985366821289 + ], + [ + "▁consume", + -11.794100761413574 + ], + [ + "▁Barb", + -11.794102668762207 + ], + [ + "1.1", + -11.794105529785156 + ], + [ + "▁nicely", + -11.79419231414795 + ], + [ + "▁psychological", + -11.794227600097656 + ], + [ + "▁refrigerator", + -11.794478416442871 + ], + [ + "▁fantasy", + -11.79481029510498 + ], + [ + "▁dispute", + -11.79494571685791 + ], + [ + "▁IBM", + -11.794954299926758 + ], + [ + "▁Nation", + -11.794971466064453 + ], + [ + "▁mobil", + -11.795063972473145 + ], + [ + "▁density", + -11.795201301574707 + ], + [ + "ske", + -11.795230865478516 + ], + [ + "▁intimate", + -11.795313835144043 + ], + [ + "▁tailored", + -11.795319557189941 + ], + [ + "▁outline", + -11.795472145080566 + ], + [ + "TN", + -11.79554557800293 + ], + [ + "mur", + -11.795634269714355 + ], + [ + "GC", + -11.795662879943848 + ], + [ + "they", + -11.795992851257324 + ], + [ + "pag", + -11.796161651611328 + ], + [ + "▁Kultur", + -11.796246528625488 + ], + [ + "grün", + -11.796281814575195 + ], + [ + "voted", + -11.796529769897461 + ], + [ + "▁donné", + -11.796546936035156 + ], + [ + "▁Să", + -11.796629905700684 + ], + [ + "enberg", + -11.796648979187012 + ], + [ + "▁wi", + -11.79686450958252 + ], + [ + "▁Francis", + -11.797057151794434 + ], + [ + "▁Rick", + -11.797157287597656 + ], + [ + "accord", + -11.797403335571289 + ], + [ + "▁Zusammen", + -11.797415733337402 + ], + [ + "▁nonprofit", + -11.797456741333008 + ], + [ + "▁listings", + -11.797615051269531 + ], + [ + "6,", + -11.797908782958984 + ], + [ + "▁maximize", + -11.798253059387207 + ], + [ + "bud", + -11.798345565795898 + ], + [ + "▁promotional", + -11.798486709594727 + ], + [ + "cina", + -11.798646926879883 + ], + [ + "▁potatoes", + -11.79869556427002 + ], + [ + "▁mot", + -11.798871040344238 + ], + [ + "carries", + -11.799384117126465 + ], + [ + "▁stabilit", + -11.799458503723145 + ], + [ + "▁Door", + -11.799574851989746 + ], + [ + "▁downloaded", + -11.799574851989746 + ], + [ + "▁experimental", + -11.799724578857422 + ], + [ + "HD", + -11.7997407913208 + ], + [ + "▁parfois", + -11.79980182647705 + ], + [ + "▁zeigen", + -11.800092697143555 + ], + [ + "▁proposé", + -11.80030632019043 + ], + [ + "▁Verein", + -11.800636291503906 + ], + [ + "▁amestec", + -11.800676345825195 + ], + [ + "▁entreprise", + -11.800718307495117 + ], + [ + "▁PSD", + -11.800841331481934 + ], + [ + "▁bake", + -11.800897598266602 + ], + [ + "▁Rh", + -11.800904273986816 + ], + [ + "▁Mehr", + -11.800922393798828 + ], + [ + "▁purple", + -11.801074028015137 + ], + [ + "▁recipient", + -11.80109691619873 + ], + [ + "rare", + -11.801166534423828 + ], + [ + "egi", + -11.80117130279541 + ], + [ + "ancien", + -11.801176071166992 + ], + [ + "▁risque", + -11.80118465423584 + ], + [ + "▁mystery", + -11.80157470703125 + ], + [ + "mac", + -11.801697731018066 + ], + [ + "ibility", + -11.80182933807373 + ], + [ + "▁Moore", + -11.801881790161133 + ], + [ + "▁flavors", + -11.801911354064941 + ], + [ + "▁trauma", + -11.801966667175293 + ], + [ + "▁automotive", + -11.802112579345703 + ], + [ + "▁Anyway", + -11.802197456359863 + ], + [ + "▁simulation", + -11.802253723144531 + ], + [ + "▁crafts", + -11.802525520324707 + ], + [ + "▁measurements", + -11.80257511138916 + ], + [ + "▁cour", + -11.80257797241211 + ], + [ + "▁tard", + -11.802600860595703 + ], + [ + "nnie", + -11.802881240844727 + ], + [ + "▁Production", + -11.803388595581055 + ], + [ + "▁Cleaning", + -11.803567886352539 + ], + [ + "5,", + -11.803644180297852 + ], + [ + "▁Islamic", + -11.803766250610352 + ], + [ + "▁Gate", + -11.80378532409668 + ], + [ + "bay", + -11.803814888000488 + ], + [ + "HR", + -11.803990364074707 + ], + [ + "▁Offer", + -11.80399227142334 + ], + [ + "▁acceptance", + -11.804107666015625 + ], + [ + "▁Erfahrung", + -11.80412769317627 + ], + [ + "▁environ", + -11.804193496704102 + ], + [ + "▁fancy", + -11.804218292236328 + ], + [ + "▁bullet", + -11.80437183380127 + ], + [ + "organ", + -11.804466247558594 + ], + [ + "▁Peace", + -11.804520606994629 + ], + [ + "▁detalii", + -11.80461597442627 + ], + [ + "▁promised", + -11.804715156555176 + ], + [ + "▁wellness", + -11.804746627807617 + ], + [ + "▁satisfy", + -11.80481243133545 + ], + [ + "▁grants", + -11.805212020874023 + ], + [ + "accueil", + -11.80522346496582 + ], + [ + "▁oben", + -11.805412292480469 + ], + [ + "▁prospects", + -11.80543327331543 + ], + [ + "▁Events", + -11.805513381958008 + ], + [ + "2013", + -11.805569648742676 + ], + [ + "gesehen", + -11.805685997009277 + ], + [ + "▁£1", + -11.805727005004883 + ], + [ + "▁handelt", + -11.805798530578613 + ], + [ + "▁Spieler", + -11.805876731872559 + ], + [ + "▁Virtual", + -11.806145668029785 + ], + [ + "▁bubble", + -11.806239128112793 + ], + [ + "▁Trend", + -11.806254386901855 + ], + [ + "▁sistemul", + -11.806315422058105 + ], + [ + "▁Morgan", + -11.806320190429688 + ], + [ + "▁pole", + -11.806503295898438 + ], + [ + "▁spielen", + -11.806533813476562 + ], + [ + "tür", + -11.806571006774902 + ], + [ + "SCO", + -11.806572914123535 + ], + [ + "▁informative", + -11.806678771972656 + ], + [ + "▁affirm", + -11.806755065917969 + ], + [ + "▁Aqua", + -11.806818008422852 + ], + [ + "▁AR", + -11.806888580322266 + ], + [ + "richten", + -11.807071685791016 + ], + [ + "▁rewards", + -11.807122230529785 + ], + [ + "lub", + -11.807235717773438 + ], + [ + "shot", + -11.807236671447754 + ], + [ + "LM", + -11.807540893554688 + ], + [ + "Up", + -11.807586669921875 + ], + [ + "▁absolut", + -11.807737350463867 + ], + [ + "▁Mart", + -11.807806968688965 + ], + [ + "erweise", + -11.807812690734863 + ], + [ + "BP", + -11.807977676391602 + ], + [ + "▁difficile", + -11.808152198791504 + ], + [ + "▁Document", + -11.808159828186035 + ], + [ + "▁Sweet", + -11.8082914352417 + ], + [ + "▁indicator", + -11.808338165283203 + ], + [ + "▁Boden", + -11.808389663696289 + ], + [ + "mates", + -11.808477401733398 + ], + [ + "▁supporters", + -11.808504104614258 + ], + [ + "▁begun", + -11.808600425720215 + ], + [ + "▁blogging", + -11.808611869812012 + ], + [ + "▁CL", + -11.808663368225098 + ], + [ + "gres", + -11.808692932128906 + ], + [ + "▁preferences", + -11.808738708496094 + ], + [ + "▁screw", + -11.808756828308105 + ], + [ + "▁tutor", + -11.808858871459961 + ], + [ + "▁Additional", + -11.80891227722168 + ], + [ + "▁Bitte", + -11.808976173400879 + ], + [ + "utilizing", + -11.808998107910156 + ], + [ + "▁expérience", + -11.809073448181152 + ], + [ + "▁dur", + -11.809146881103516 + ], + [ + "▁precisely", + -11.809178352355957 + ], + [ + "▁janvier", + -11.809394836425781 + ], + [ + "AGE", + -11.80987548828125 + ], + [ + "moto", + -11.810007095336914 + ], + [ + "▁counsel", + -11.810195922851562 + ], + [ + "▁110", + -11.810226440429688 + ], + [ + "nick", + -11.810245513916016 + ], + [ + "licit", + -11.810540199279785 + ], + [ + "technik", + -11.810659408569336 + ], + [ + "▁collaborate", + -11.810736656188965 + ], + [ + "▁neighbors", + -11.810794830322266 + ], + [ + "tered", + -11.810922622680664 + ], + [ + "▁excel", + -11.811025619506836 + ], + [ + "▁Route", + -11.811059951782227 + ], + [ + "steuer", + -11.81109619140625 + ], + [ + "▁pioneer", + -11.811607360839844 + ], + [ + "nuit", + -11.81169319152832 + ], + [ + "▁skip", + -11.811963081359863 + ], + [ + "▁destruction", + -11.811997413635254 + ], + [ + "▁thesis", + -11.812249183654785 + ], + [ + "▁libre", + -11.812317848205566 + ], + [ + "▁petition", + -11.81234073638916 + ], + [ + "▁steady", + -11.812456130981445 + ], + [ + "▁medications", + -11.812458992004395 + ], + [ + "▁audiences", + -11.812623023986816 + ], + [ + "▁coaches", + -11.812689781188965 + ], + [ + "aller", + -11.812704086303711 + ], + [ + "3,000", + -11.812705993652344 + ], + [ + "▁anger", + -11.812785148620605 + ], + [ + "▁striking", + -11.812844276428223 + ], + [ + "▁shades", + -11.81291675567627 + ], + [ + "▁Sitz", + -11.812994956970215 + ], + [ + "▁gluten", + -11.813162803649902 + ], + [ + "▁egal", + -11.813222885131836 + ], + [ + "ania", + -11.813223838806152 + ], + [ + "▁defend", + -11.813241004943848 + ], + [ + "gut", + -11.81382942199707 + ], + [ + "▁reserves", + -11.813895225524902 + ], + [ + "▁advocate", + -11.814053535461426 + ], + [ + "▁Cit", + -11.814082145690918 + ], + [ + "▁technicians", + -11.814105033874512 + ], + [ + "▁cater", + -11.814138412475586 + ], + [ + "leitung", + -11.814190864562988 + ], + [ + "▁towns", + -11.814335823059082 + ], + [ + "▁Costa", + -11.814364433288574 + ], + [ + "▁confront", + -11.814567565917969 + ], + [ + "mount", + -11.814652442932129 + ], + [ + "▁nationale", + -11.814706802368164 + ], + [ + "▁adverse", + -11.814932823181152 + ], + [ + "▁couleur", + -11.815112113952637 + ], + [ + "▁delight", + -11.815169334411621 + ], + [ + "▁promises", + -11.815224647521973 + ], + [ + "▁silent", + -11.81550121307373 + ], + [ + "richtet", + -11.815556526184082 + ], + [ + "▁Companies", + -11.815614700317383 + ], + [ + "▁Charlotte", + -11.815620422363281 + ], + [ + "▁labels", + -11.815652847290039 + ], + [ + "▁Süd", + -11.815656661987305 + ], + [ + "▁Honor", + -11.81567096710205 + ], + [ + "▁complaints", + -11.815710067749023 + ], + [ + "▁siècle", + -11.815752029418945 + ], + [ + "▁suits", + -11.815792083740234 + ], + [ + "▁Bath", + -11.815827369689941 + ], + [ + "mise", + -11.815926551818848 + ], + [ + "▁acela", + -11.8159818649292 + ], + [ + "▁candidat", + -11.816011428833008 + ], + [ + "Flo", + -11.816207885742188 + ], + [ + "▁conservative", + -11.816215515136719 + ], + [ + "DD", + -11.816314697265625 + ], + [ + "▁changement", + -11.816414833068848 + ], + [ + "▁login", + -11.816492080688477 + ], + [ + "▁Fashion", + -11.816585540771484 + ], + [ + "reichen", + -11.816672325134277 + ], + [ + "through", + -11.816751480102539 + ], + [ + "aki", + -11.817240715026855 + ], + [ + "gna", + -11.817547798156738 + ], + [ + "▁verse", + -11.817551612854004 + ], + [ + "▁threats", + -11.817622184753418 + ], + [ + "▁Song", + -11.817770004272461 + ], + [ + "▁funded", + -11.81792163848877 + ], + [ + "langen", + -11.818023681640625 + ], + [ + "▁distribu", + -11.818195343017578 + ], + [ + "édition", + -11.818316459655762 + ], + [ + "▁royal", + -11.818562507629395 + ], + [ + "▁bevor", + -11.818829536437988 + ], + [ + "▁02", + -11.818854331970215 + ], + [ + "straße", + -11.818938255310059 + ], + [ + "edit", + -11.81904125213623 + ], + [ + "▁energetic", + -11.81922721862793 + ], + [ + "▁Carr", + -11.819757461547852 + ], + [ + "viol", + -11.819937705993652 + ], + [ + "▁niche", + -11.820054054260254 + ], + [ + "avais", + -11.820099830627441 + ], + [ + "▁backyard", + -11.82010269165039 + ], + [ + "▁Saudi", + -11.820158958435059 + ], + [ + "▁Zwei", + -11.820207595825195 + ], + [ + "▁Legal", + -11.82027530670166 + ], + [ + "accessed", + -11.820277214050293 + ], + [ + "▁choisi", + -11.820340156555176 + ], + [ + "▁GDP", + -11.820343971252441 + ], + [ + "oferă", + -11.820352554321289 + ], + [ + "hlen", + -11.820490837097168 + ], + [ + "▁Wor", + -11.820520401000977 + ], + [ + "▁cheer", + -11.820586204528809 + ], + [ + "▁barely", + -11.820625305175781 + ], + [ + "cost", + -11.820646286010742 + ], + [ + "▁Really", + -11.820661544799805 + ], + [ + "kol", + -11.820721626281738 + ], + [ + "▁binding", + -11.821045875549316 + ], + [ + "euer", + -11.821136474609375 + ], + [ + "▁optimization", + -11.821158409118652 + ], + [ + "▁Designer", + -11.8211669921875 + ], + [ + "▁measuring", + -11.82117748260498 + ], + [ + "ncy", + -11.821516036987305 + ], + [ + "weise", + -11.821520805358887 + ], + [ + "DER", + -11.821850776672363 + ], + [ + "▁$7", + -11.821949005126953 + ], + [ + "▁Anfang", + -11.821954727172852 + ], + [ + "material", + -11.821967124938965 + ], + [ + "▁antique", + -11.822281837463379 + ], + [ + "▁Certificate", + -11.822294235229492 + ], + [ + "▁modest", + -11.822370529174805 + ], + [ + "ției", + -11.822427749633789 + ], + [ + "▁praise", + -11.82245922088623 + ], + [ + "▁Springs", + -11.822660446166992 + ], + [ + "▁organiza", + -11.823041915893555 + ], + [ + "jurul", + -11.823047637939453 + ], + [ + "▁plumbing", + -11.82341194152832 + ], + [ + "▁foster", + -11.823490142822266 + ], + [ + "▁Wy", + -11.823491096496582 + ], + [ + "▁Sab", + -11.823503494262695 + ], + [ + "▁overwhelming", + -11.823677062988281 + ], + [ + "▁matin", + -11.823812484741211 + ], + [ + "▁responded", + -11.82408332824707 + ], + [ + "▁confused", + -11.824150085449219 + ], + [ + "▁blessed", + -11.824280738830566 + ], + [ + "▁160", + -11.824295997619629 + ], + [ + "▁ingredient", + -11.824360847473145 + ], + [ + "▁confer", + -11.82448673248291 + ], + [ + "▁Gesundheit", + -11.824530601501465 + ], + [ + "▁bucket", + -11.824555397033691 + ], + [ + "kraft", + -11.824565887451172 + ], + [ + "lange", + -11.824630737304688 + ], + [ + "▁Kopf", + -11.824678421020508 + ], + [ + "▁Prize", + -11.824678421020508 + ], + [ + "▁authorized", + -11.824779510498047 + ], + [ + "▁tick", + -11.824803352355957 + ], + [ + "▁steal", + -11.824910163879395 + ], + [ + "Depending", + -11.824918746948242 + ], + [ + "Depuis", + -11.824952125549316 + ], + [ + "▁functie", + -11.82499885559082 + ], + [ + "▁developments", + -11.825053215026855 + ], + [ + "▁Christians", + -11.825311660766602 + ], + [ + "▁calculated", + -11.8256254196167 + ], + [ + "▁Leave", + -11.825672149658203 + ], + [ + "▁Jam", + -11.82573413848877 + ], + [ + "▁habitat", + -11.825760841369629 + ], + [ + "▁Sorry", + -11.825801849365234 + ], + [ + "▁oficial", + -11.825944900512695 + ], + [ + "▁allein", + -11.826079368591309 + ], + [ + "▁concentrate", + -11.82608413696289 + ], + [ + "dica", + -11.826302528381348 + ], + [ + "▁Convention", + -11.826476097106934 + ], + [ + "illes", + -11.826550483703613 + ], + [ + "▁fum", + -11.82664680480957 + ], + [ + "▁Tal", + -11.826651573181152 + ], + [ + "Europe", + -11.826899528503418 + ], + [ + "▁attachment", + -11.826949119567871 + ], + [ + "▁sensibil", + -11.826995849609375 + ], + [ + "▁clue", + -11.82715892791748 + ], + [ + "▁specialty", + -11.827203750610352 + ], + [ + "▁Cou", + -11.827229499816895 + ], + [ + "▁liste", + -11.827278137207031 + ], + [ + "▁Penn", + -11.827465057373047 + ], + [ + "TRA", + -11.827559471130371 + ], + [ + "▁Themen", + -11.827561378479004 + ], + [ + "▁motivated", + -11.827906608581543 + ], + [ + "▁camere", + -11.828017234802246 + ], + [ + "▁14,", + -11.828393936157227 + ], + [ + "▁attendance", + -11.828557968139648 + ], + [ + "atorii", + -11.828581809997559 + ], + [ + "chemistry", + -11.82873821258545 + ], + [ + "▁roofing", + -11.828959465026855 + ], + [ + "▁Links", + -11.829048156738281 + ], + [ + "▁trou", + -11.829103469848633 + ], + [ + "▁trucks", + -11.829136848449707 + ], + [ + "hilfe", + -11.829557418823242 + ], + [ + "▁(6", + -11.829599380493164 + ], + [ + "vapor", + -11.82964038848877 + ], + [ + "mad", + -11.829668045043945 + ], + [ + "▁Albert", + -11.829877853393555 + ], + [ + "▁FIG", + -11.830073356628418 + ], + [ + "▁Rand", + -11.830187797546387 + ], + [ + "▁Constitution", + -11.830219268798828 + ], + [ + "ambi", + -11.830294609069824 + ], + [ + "▁Syria", + -11.830307006835938 + ], + [ + "▁Fond", + -11.830477714538574 + ], + [ + "▁gouvernement", + -11.830594062805176 + ], + [ + "▁Active", + -11.830705642700195 + ], + [ + "▁prints", + -11.830801963806152 + ], + [ + "▁weigh", + -11.8308687210083 + ], + [ + "▁Craft", + -11.831069946289062 + ], + [ + "▁projets", + -11.831247329711914 + ], + [ + "▁paste", + -11.831377029418945 + ], + [ + "anci", + -11.83139705657959 + ], + [ + "kie", + -11.831411361694336 + ], + [ + "▁gains", + -11.83165168762207 + ], + [ + "▁Record", + -11.831942558288574 + ], + [ + "▁beliefs", + -11.831954956054688 + ], + [ + "countless", + -11.831957817077637 + ], + [ + "▁tomatoes", + -11.831997871398926 + ], + [ + "arie", + -11.832082748413086 + ], + [ + "▁140", + -11.83211612701416 + ], + [ + "▁ethical", + -11.832229614257812 + ], + [ + "objectif", + -11.832279205322266 + ], + [ + "▁acestuia", + -11.832283973693848 + ], + [ + "▁Bluetooth", + -11.832398414611816 + ], + [ + "▁agriculture", + -11.832746505737305 + ], + [ + "uré", + -11.833027839660645 + ], + [ + "▁cale", + -11.833072662353516 + ], + [ + "▁articol", + -11.833073616027832 + ], + [ + "▁gum", + -11.833319664001465 + ], + [ + "▁vendor", + -11.833490371704102 + ], + [ + "ifié", + -11.833527565002441 + ], + [ + "▁peer", + -11.833662033081055 + ], + [ + "pod", + -11.834036827087402 + ], + [ + "▁utilized", + -11.834113121032715 + ], + [ + "▁Mü", + -11.834207534790039 + ], + [ + "owohl", + -11.834208488464355 + ], + [ + "hilst", + -11.834233283996582 + ], + [ + "frame", + -11.834260940551758 + ], + [ + "▁fridge", + -11.834822654724121 + ], + [ + "▁query", + -11.835108757019043 + ], + [ + "▁Survey", + -11.835227012634277 + ], + [ + "▁Hell", + -11.835247993469238 + ], + [ + "▁notification", + -11.83530044555664 + ], + [ + "TR", + -11.83538818359375 + ], + [ + "▁ultima", + -11.835505485534668 + ], + [ + "▁radiation", + -11.835631370544434 + ], + [ + "▁musicians", + -11.835821151733398 + ], + [ + "CAN", + -11.83595085144043 + ], + [ + "▁grocery", + -11.83607292175293 + ], + [ + "▁Sicherheit", + -11.83611011505127 + ], + [ + "▁Highway", + -11.836276054382324 + ], + [ + "▁Break", + -11.836285591125488 + ], + [ + "TED", + -11.836345672607422 + ], + [ + "ön", + -11.836352348327637 + ], + [ + "▁biological", + -11.836352348327637 + ], + [ + "qual", + -11.836397171020508 + ], + [ + "250", + -11.83641242980957 + ], + [ + "▁modify", + -11.836651802062988 + ], + [ + "▁Hit", + -11.836698532104492 + ], + [ + "▁Iar", + -11.836838722229004 + ], + [ + "aged", + -11.836884498596191 + ], + [ + "...)", + -11.83688735961914 + ], + [ + "▁contrat", + -11.836928367614746 + ], + [ + "▁centres", + -11.836956977844238 + ], + [ + "griff", + -11.836987495422363 + ], + [ + "Our", + -11.837233543395996 + ], + [ + "▁determination", + -11.837300300598145 + ], + [ + "▁variables", + -11.83742904663086 + ], + [ + "▁nuts", + -11.837472915649414 + ], + [ + "échange", + -11.837577819824219 + ], + [ + "extérieur", + -11.837631225585938 + ], + [ + "▁suflet", + -11.83764362335205 + ], + [ + "▁Scha", + -11.837752342224121 + ], + [ + "stück", + -11.837774276733398 + ], + [ + "▁Tau", + -11.837821960449219 + ], + [ + "▁participa", + -11.838008880615234 + ], + [ + "▁mad", + -11.838034629821777 + ], + [ + "▁relie", + -11.838051795959473 + ], + [ + "▁Fine", + -11.83808422088623 + ], + [ + "▁grape", + -11.838118553161621 + ], + [ + "▁wage", + -11.838141441345215 + ], + [ + "▁startup", + -11.838193893432617 + ], + [ + "▁blank", + -11.838194847106934 + ], + [ + "▁physique", + -11.838199615478516 + ], + [ + "▁punch", + -11.838233947753906 + ], + [ + "▁contacts", + -11.838321685791016 + ], + [ + "▁dezvolt", + -11.83835220336914 + ], + [ + "cross", + -11.838639259338379 + ], + [ + "▁TR", + -11.838652610778809 + ], + [ + "▁gener", + -11.838754653930664 + ], + [ + "▁indem", + -11.838823318481445 + ], + [ + "▁Stan", + -11.838839530944824 + ], + [ + "▁azi", + -11.838930130004883 + ], + [ + "▁Sel", + -11.838958740234375 + ], + [ + "▁Tot", + -11.83924674987793 + ], + [ + "vra", + -11.839341163635254 + ], + [ + "▁recruit", + -11.839482307434082 + ], + [ + "▁Yeah", + -11.839494705200195 + ], + [ + "/10", + -11.839507102966309 + ], + [ + "▁nail", + -11.83956241607666 + ], + [ + "▁Ky", + -11.839611053466797 + ], + [ + "▁beloved", + -11.839760780334473 + ], + [ + "operative", + -11.839823722839355 + ], + [ + "▁Tickets", + -11.83983325958252 + ], + [ + "▁tear", + -11.840229988098145 + ], + [ + "▁amp", + -11.840352058410645 + ], + [ + "▁04", + -11.840361595153809 + ], + [ + "▁illustrate", + -11.840361595153809 + ], + [ + "▁mac", + -11.840400695800781 + ], + [ + "▁receiver", + -11.840482711791992 + ], + [ + "atrice", + -11.840508460998535 + ], + [ + "▁souhait", + -11.840572357177734 + ], + [ + "▁Gewinn", + -11.840619087219238 + ], + [ + "▁Vit", + -11.840808868408203 + ], + [ + "roch", + -11.841202735900879 + ], + [ + "▁arata", + -11.841262817382812 + ], + [ + "▁Indiana", + -11.841364860534668 + ], + [ + "child", + -11.841516494750977 + ], + [ + "▁invested", + -11.84157657623291 + ], + [ + "▁Excellent", + -11.841625213623047 + ], + [ + "gori", + -11.841769218444824 + ], + [ + "▁thermal", + -11.841813087463379 + ], + [ + "Str", + -11.841973304748535 + ], + [ + "▁liver", + -11.84201717376709 + ], + [ + "miss", + -11.842035293579102 + ], + [ + "▁utiliser", + -11.842120170593262 + ], + [ + "▁prest", + -11.842445373535156 + ], + [ + "2016", + -11.842506408691406 + ], + [ + "isée", + -11.842508316040039 + ], + [ + "▁Index", + -11.842559814453125 + ], + [ + "▁arch", + -11.842639923095703 + ], + [ + "▁Toyota", + -11.842748641967773 + ], + [ + "▁YOUR", + -11.842782020568848 + ], + [ + "▁Mexican", + -11.842891693115234 + ], + [ + "▁gegenüber", + -11.842940330505371 + ], + [ + "▁cannabis", + -11.843033790588379 + ], + [ + "bis", + -11.843077659606934 + ], + [ + "vage", + -11.843083381652832 + ], + [ + "hall", + -11.843091011047363 + ], + [ + "fax", + -11.843137741088867 + ], + [ + "▁spoken", + -11.843232154846191 + ], + [ + "▁Zimmer", + -11.843544960021973 + ], + [ + "kauf", + -11.8436279296875 + ], + [ + "▁couleurs", + -11.843705177307129 + ], + [ + "▁NJ", + -11.844026565551758 + ], + [ + "▁Heritage", + -11.844318389892578 + ], + [ + "▁Pflege", + -11.844321250915527 + ], + [ + "luc", + -11.844361305236816 + ], + [ + "▁56", + -11.844489097595215 + ], + [ + "VP", + -11.844542503356934 + ], + [ + "▁cuvinte", + -11.844594955444336 + ], + [ + "▁Alliance", + -11.844614028930664 + ], + [ + "▁coco", + -11.844615936279297 + ], + [ + "▁leverage", + -11.844762802124023 + ], + [ + "auch", + -11.844844818115234 + ], + [ + "▁Cart", + -11.84506607055664 + ], + [ + "taux", + -11.84532642364502 + ], + [ + "east", + -11.84560775756836 + ], + [ + "▁decorating", + -11.84565258026123 + ], + [ + "tip", + -11.84565544128418 + ], + [ + "▁Communications", + -11.845780372619629 + ], + [ + "ACE", + -11.84580135345459 + ], + [ + "▁Consul", + -11.845993041992188 + ], + [ + "▁Swiss", + -11.846197128295898 + ], + [ + "inci", + -11.846230506896973 + ], + [ + "▁Fact", + -11.846312522888184 + ], + [ + "▁ajung", + -11.846321105957031 + ], + [ + "▁airline", + -11.846325874328613 + ], + [ + "▁kidney", + -11.846379280090332 + ], + [ + "▁Records", + -11.84642505645752 + ], + [ + "▁Olympic", + -11.846747398376465 + ], + [ + "▁dried", + -11.84719467163086 + ], + [ + "oivent", + -11.847333908081055 + ], + [ + "▁Adobe", + -11.847467422485352 + ], + [ + "▁powers", + -11.847748756408691 + ], + [ + "lande", + -11.847834587097168 + ], + [ + "▁relieve", + -11.847858428955078 + ], + [ + "ţine", + -11.847898483276367 + ], + [ + "▁gradually", + -11.847945213317871 + ], + [ + "mud", + -11.84811019897461 + ], + [ + "▁30,", + -11.848116874694824 + ], + [ + "▁plante", + -11.848133087158203 + ], + [ + "▁Hug", + -11.848225593566895 + ], + [ + "▁Focus", + -11.84853458404541 + ], + [ + "▁distinctive", + -11.848594665527344 + ], + [ + "▁Bab", + -11.848662376403809 + ], + [ + "tata", + -11.848679542541504 + ], + [ + "▁Nun", + -11.848797798156738 + ], + [ + "▁Eve", + -11.848811149597168 + ], + [ + "▁déc", + -11.848881721496582 + ], + [ + "▁Beitrag", + -11.84900951385498 + ], + [ + "▁devenit", + -11.849042892456055 + ], + [ + "driven", + -11.849250793457031 + ], + [ + "▁offerings", + -11.84933853149414 + ], + [ + "▁exc", + -11.84941577911377 + ], + [ + "encies", + -11.849576950073242 + ], + [ + "▁Neuro", + -11.849588394165039 + ], + [ + "scher", + -11.849604606628418 + ], + [ + "map", + -11.849703788757324 + ], + [ + "pending", + -11.849783897399902 + ], + [ + "▁courage", + -11.849799156188965 + ], + [ + "axe", + -11.849894523620605 + ], + [ + "▁Gesellschaft", + -11.849900245666504 + ], + [ + "▁ears", + -11.85000991821289 + ], + [ + "▁aider", + -11.850403785705566 + ], + [ + "▁Cast", + -11.85042667388916 + ], + [ + "fast", + -11.850442886352539 + ], + [ + "▁departe", + -11.850502014160156 + ], + [ + "▁oak", + -11.850507736206055 + ], + [ + "▁batch", + -11.850730895996094 + ], + [ + "▁Corporate", + -11.850762367248535 + ], + [ + "▁Ost", + -11.850895881652832 + ], + [ + "-14", + -11.850897789001465 + ], + [ + "▁Pie", + -11.85115909576416 + ], + [ + "▁ranking", + -11.851273536682129 + ], + [ + "clusion", + -11.851316452026367 + ], + [ + "▁costume", + -11.851347923278809 + ], + [ + "▁Knight", + -11.851449966430664 + ], + [ + "▁privat", + -11.851577758789062 + ], + [ + "▁Engineer", + -11.851593971252441 + ], + [ + "▁gens", + -11.8517427444458 + ], + [ + "physics", + -11.85176944732666 + ], + [ + "generating", + -11.851773262023926 + ], + [ + "directement", + -11.851786613464355 + ], + [ + "▁confidential", + -11.851810455322266 + ], + [ + "▁poet", + -11.851937294006348 + ], + [ + "▁monster", + -11.851944923400879 + ], + [ + "▁suppose", + -11.851984977722168 + ], + [ + "său", + -11.851996421813965 + ], + [ + "▁balls", + -11.852103233337402 + ], + [ + "▁substitute", + -11.852137565612793 + ], + [ + "▁simultaneously", + -11.852238655090332 + ], + [ + "▁specify", + -11.852272033691406 + ], + [ + "wald", + -11.852287292480469 + ], + [ + "▁collapse", + -11.852352142333984 + ], + [ + "dessus", + -11.852458953857422 + ], + [ + "▁vitr", + -11.852516174316406 + ], + [ + "▁recruitment", + -11.852607727050781 + ], + [ + "denken", + -11.852632522583008 + ], + [ + "▁candy", + -11.852691650390625 + ], + [ + "▁tourists", + -11.852721214294434 + ], + [ + "dimensional", + -11.852782249450684 + ], + [ + "conce", + -11.852814674377441 + ], + [ + "wechsel", + -11.852822303771973 + ], + [ + "▁passende", + -11.852971076965332 + ], + [ + "industrie", + -11.85299301147461 + ], + [ + "agne", + -11.853127479553223 + ], + [ + "▁warehouse", + -11.853233337402344 + ], + [ + "▁Jugend", + -11.853277206420898 + ], + [ + "▁Weise", + -11.853357315063477 + ], + [ + "▁Zone", + -11.853528022766113 + ], + [ + "▁licence", + -11.853550910949707 + ], + [ + "▁broker", + -11.853630065917969 + ], + [ + "▁Rolle", + -11.85365104675293 + ], + [ + "pton", + -11.853789329528809 + ], + [ + "▁preference", + -11.853846549987793 + ], + [ + "▁homeowners", + -11.853861808776855 + ], + [ + "▁Lum", + -11.85387134552002 + ], + [ + "▁Chairman", + -11.853879928588867 + ], + [ + "▁Pages", + -11.853998184204102 + ], + [ + "▁beam", + -11.854005813598633 + ], + [ + "▁coordinate", + -11.854158401489258 + ], + [ + "▁Tool", + -11.854212760925293 + ], + [ + "▁complexity", + -11.854272842407227 + ], + [ + "▁checks", + -11.854339599609375 + ], + [ + "▁Bedroom", + -11.854405403137207 + ], + [ + "minded", + -11.854538917541504 + ], + [ + "▁copiii", + -11.854694366455078 + ], + [ + "▁celebrating", + -11.85470199584961 + ], + [ + "zimmer", + -11.854759216308594 + ], + [ + "▁Imagine", + -11.854759216308594 + ], + [ + "▁decoration", + -11.854830741882324 + ], + [ + "team", + -11.855354309082031 + ], + [ + "▁împreună", + -11.855369567871094 + ], + [ + "▁publicly", + -11.855391502380371 + ], + [ + "▁centuries", + -11.855514526367188 + ], + [ + "▁Islands", + -11.855644226074219 + ], + [ + "▁ethnic", + -11.855663299560547 + ], + [ + "still", + -11.85576057434082 + ], + [ + "stieg", + -11.855823516845703 + ], + [ + "emia", + -11.855904579162598 + ], + [ + "tags", + -11.856026649475098 + ], + [ + "▁marche", + -11.856062889099121 + ], + [ + "▁migration", + -11.856096267700195 + ], + [ + "▁banner", + -11.85616683959961 + ], + [ + "▁macro", + -11.856378555297852 + ], + [ + "▁Edit", + -11.856379508972168 + ], + [ + "tran", + -11.85656452178955 + ], + [ + "ça", + -11.856597900390625 + ], + [ + "▁recycling", + -11.856670379638672 + ], + [ + "▁1,000", + -11.856673240661621 + ], + [ + "▁Quelle", + -11.856891632080078 + ], + [ + "▁Vel", + -11.85700511932373 + ], + [ + "▁Rit", + -11.857025146484375 + ], + [ + "▁Spaß", + -11.857046127319336 + ], + [ + "▁Corn", + -11.857074737548828 + ], + [ + "tracted", + -11.857177734375 + ], + [ + "cited", + -11.857185363769531 + ], + [ + "▁tablets", + -11.857202529907227 + ], + [ + "▁Display", + -11.857337951660156 + ], + [ + "▁persoana", + -11.857392311096191 + ], + [ + "Term", + -11.857410430908203 + ], + [ + "▁Vancouver", + -11.857537269592285 + ], + [ + "▁Gäste", + -11.857550621032715 + ], + [ + "determining", + -11.857608795166016 + ], + [ + "▁populations", + -11.85778522491455 + ], + [ + "aison", + -11.857873916625977 + ], + [ + "▁surgical", + -11.858072280883789 + ], + [ + "tale", + -11.858160018920898 + ], + [ + "ivi", + -11.858283042907715 + ], + [ + "▁Zur", + -11.858388900756836 + ], + [ + "esprit", + -11.858574867248535 + ], + [ + "▁Edge", + -11.858665466308594 + ], + [ + "dach", + -11.858760833740234 + ], + [ + "phi", + -11.858773231506348 + ], + [ + "▁suc", + -11.858841896057129 + ], + [ + "▁scrie", + -11.858848571777344 + ], + [ + "▁Ausbildung", + -11.858885765075684 + ], + [ + "▁51", + -11.85892391204834 + ], + [ + "ologi", + -11.858938217163086 + ], + [ + "▁correction", + -11.859049797058105 + ], + [ + "▁Wald", + -11.859078407287598 + ], + [ + "▁additionally", + -11.859131813049316 + ], + [ + "▁proche", + -11.859353065490723 + ], + [ + "▁classical", + -11.859477996826172 + ], + [ + "▁bringen", + -11.859490394592285 + ], + [ + "▁(10", + -11.859611511230469 + ], + [ + "▁Mile", + -11.859809875488281 + ], + [ + "lace", + -11.859885215759277 + ], + [ + "▁premi", + -11.85988712310791 + ], + [ + "▁constitute", + -11.860029220581055 + ], + [ + "▁bitter", + -11.860078811645508 + ], + [ + "▁Inform", + -11.860295295715332 + ], + [ + "▁corporations", + -11.860334396362305 + ], + [ + "▁Lisa", + -11.860494613647461 + ], + [ + "▁obligat", + -11.860685348510742 + ], + [ + "Throughout", + -11.860738754272461 + ], + [ + "▁Rs", + -11.860769271850586 + ], + [ + "▁Hair", + -11.860916137695312 + ], + [ + "▁supplements", + -11.86099624633789 + ], + [ + "▁motorcycle", + -11.861054420471191 + ], + [ + "escent", + -11.861132621765137 + ], + [ + "▁investi", + -11.861222267150879 + ], + [ + "▁continuously", + -11.861265182495117 + ], + [ + "▁Essen", + -11.861334800720215 + ], + [ + "▁precision", + -11.8613862991333 + ], + [ + "▁deficit", + -11.861461639404297 + ], + [ + "▁wallet", + -11.861481666564941 + ], + [ + "▁Bürger", + -11.861531257629395 + ], + [ + "chir", + -11.861574172973633 + ], + [ + "9)", + -11.86161994934082 + ], + [ + "▁Programme", + -11.861716270446777 + ], + [ + "▁simplement", + -11.86193561553955 + ], + [ + "MD", + -11.862093925476074 + ], + [ + "▁rouge", + -11.862096786499023 + ], + [ + "usion", + -11.862133979797363 + ], + [ + "▁stove", + -11.862208366394043 + ], + [ + "▁prospective", + -11.862224578857422 + ], + [ + "▁corp", + -11.86234188079834 + ], + [ + "▁impacts", + -11.862401008605957 + ], + [ + "▁bride", + -11.86266803741455 + ], + [ + "0.0", + -11.862788200378418 + ], + [ + "hid", + -11.862833976745605 + ], + [ + "▁warrant", + -11.862930297851562 + ], + [ + "▁Ice", + -11.8631010055542 + ], + [ + "▁sensible", + -11.863151550292969 + ], + [ + "▁vreo", + -11.863166809082031 + ], + [ + "spekt", + -11.863249778747559 + ], + [ + "▁appreciation", + -11.8633394241333 + ], + [ + "▁automation", + -11.863377571105957 + ], + [ + "Luc", + -11.86341381072998 + ], + [ + "teaches", + -11.863471031188965 + ], + [ + "▁fold", + -11.863506317138672 + ], + [ + "deutsche", + -11.863523483276367 + ], + [ + "▁assisted", + -11.86380386352539 + ], + [ + "▁straightforward", + -11.863932609558105 + ], + [ + "▁mechanic", + -11.864068031311035 + ], + [ + "observ", + -11.864169120788574 + ], + [ + "▁Schau", + -11.864195823669434 + ], + [ + "▁Recently", + -11.864301681518555 + ], + [ + "kers", + -11.86435604095459 + ], + [ + "▁Soft", + -11.864455223083496 + ], + [ + "muni", + -11.864537239074707 + ], + [ + "▁lie", + -11.864617347717285 + ], + [ + "▁Fat", + -11.864728927612305 + ], + [ + "cream", + -11.86476993560791 + ], + [ + "▁snack", + -11.864909172058105 + ], + [ + "▁juin", + -11.865068435668945 + ], + [ + "▁competent", + -11.865134239196777 + ], + [ + "▁Drug", + -11.865141868591309 + ], + [ + "▁Row", + -11.865302085876465 + ], + [ + "▁needle", + -11.865852355957031 + ], + [ + "▁convey", + -11.865900039672852 + ], + [ + "▁voie", + -11.86600399017334 + ], + [ + "▁Hon", + -11.866190910339355 + ], + [ + "▁ebook", + -11.866194725036621 + ], + [ + "▁veteran", + -11.866209030151367 + ], + [ + "▁statistical", + -11.866217613220215 + ], + [ + "190", + -11.866312980651855 + ], + [ + "▁munca", + -11.866402626037598 + ], + [ + "▁venues", + -11.866438865661621 + ], + [ + "▁Viel", + -11.866604804992676 + ], + [ + "▁décor", + -11.866799354553223 + ], + [ + "▁répond", + -11.8670015335083 + ], + [ + "▁produsele", + -11.86700439453125 + ], + [ + "ruc", + -11.867009162902832 + ], + [ + "▁drops", + -11.867011070251465 + ], + [ + "▁autant", + -11.867311477661133 + ], + [ + "▁Fahrzeug", + -11.867313385009766 + ], + [ + "▁hills", + -11.86735725402832 + ], + [ + "ference", + -11.867414474487305 + ], + [ + "▁Glück", + -11.86742115020752 + ], + [ + "▁Pac", + -11.867480278015137 + ], + [ + "▁permettr", + -11.867568969726562 + ], + [ + "▁mouvement", + -11.867713928222656 + ], + [ + "établissement", + -11.867859840393066 + ], + [ + "▁Parc", + -11.867874145507812 + ], + [ + "▁solving", + -11.867900848388672 + ], + [ + "▁jail", + -11.867972373962402 + ], + [ + "▁junk", + -11.867980003356934 + ], + [ + "▁jeux", + -11.868091583251953 + ], + [ + "▁rôle", + -11.868107795715332 + ], + [ + "▁cache", + -11.868124961853027 + ], + [ + "▁Answer", + -11.86832046508789 + ], + [ + "wir", + -11.868706703186035 + ], + [ + "option", + -11.868732452392578 + ], + [ + "▁Tiger", + -11.868739128112793 + ], + [ + "▁Ble", + -11.868793487548828 + ], + [ + "Mitglied", + -11.868797302246094 + ], + [ + "▁partial", + -11.868819236755371 + ], + [ + "▁Mercedes", + -11.86888313293457 + ], + [ + "tire", + -11.869001388549805 + ], + [ + "MENT", + -11.869091987609863 + ], + [ + "▁transit", + -11.869230270385742 + ], + [ + "▁cineva", + -11.869285583496094 + ], + [ + "▁Andrea", + -11.869294166564941 + ], + [ + "▁boundaries", + -11.869497299194336 + ], + [ + "script", + -11.870061874389648 + ], + [ + "▁Medi", + -11.870123863220215 + ], + [ + "schreiben", + -11.870203018188477 + ], + [ + "▁lobby", + -11.87035846710205 + ], + [ + "▁defendant", + -11.870406150817871 + ], + [ + "▁sq", + -11.870467185974121 + ], + [ + "▁forgotten", + -11.870569229125977 + ], + [ + "stimmung", + -11.870651245117188 + ], + [ + "hus", + -11.870665550231934 + ], + [ + "RY", + -11.870728492736816 + ], + [ + "▁Anderson", + -11.870748519897461 + ], + [ + "▁Dental", + -11.870828628540039 + ], + [ + "ject", + -11.87110710144043 + ], + [ + "▁Nutzer", + -11.871377944946289 + ], + [ + "▁Portland", + -11.871540069580078 + ], + [ + "scription", + -11.871636390686035 + ], + [ + "▁angel", + -11.871695518493652 + ], + [ + "▁monument", + -11.871748924255371 + ], + [ + "▁număr", + -11.871784210205078 + ], + [ + "▁Lane", + -11.871800422668457 + ], + [ + "▁Bai", + -11.871894836425781 + ], + [ + "But", + -11.871909141540527 + ], + [ + "▁calculate", + -11.872315406799316 + ], + [ + "▁provoca", + -11.87247371673584 + ], + [ + "▁votes", + -11.872493743896484 + ], + [ + "RNA", + -11.872503280639648 + ], + [ + "though", + -11.87259292602539 + ], + [ + "spor", + -11.872631072998047 + ], + [ + "▁connaissance", + -11.872695922851562 + ], + [ + "▁Anwendung", + -11.872932434082031 + ], + [ + "▁Kate", + -11.873123168945312 + ], + [ + "lob", + -11.87315845489502 + ], + [ + "▁Conf", + -11.873180389404297 + ], + [ + "bung", + -11.873212814331055 + ], + [ + "ander", + -11.873282432556152 + ], + [ + "▁functioning", + -11.873297691345215 + ], + [ + "▁sponsored", + -11.873324394226074 + ], + [ + "rav", + -11.873734474182129 + ], + [ + "▁resistant", + -11.873797416687012 + ], + [ + "tră", + -11.873916625976562 + ], + [ + "▁costly", + -11.873923301696777 + ], + [ + "▁Mars", + -11.873991012573242 + ], + [ + "▁tir", + -11.874075889587402 + ], + [ + "▁writes", + -11.874134063720703 + ], + [ + "▁Greg", + -11.874267578125 + ], + [ + "▁Question", + -11.874714851379395 + ], + [ + "▁corporation", + -11.87485408782959 + ], + [ + "▁lire", + -11.874991416931152 + ], + [ + "locked", + -11.875048637390137 + ], + [ + "8,", + -11.875092506408691 + ], + [ + "▁sagt", + -11.875301361083984 + ], + [ + "gaining", + -11.87536907196045 + ], + [ + "▁Pierre", + -11.875688552856445 + ], + [ + "verb", + -11.875725746154785 + ], + [ + "▁Barcelona", + -11.87578296661377 + ], + [ + "werte", + -11.876474380493164 + ], + [ + "▁disponible", + -11.87651538848877 + ], + [ + "▁urge", + -11.876521110534668 + ], + [ + "▁expecting", + -11.876572608947754 + ], + [ + "▁Girl", + -11.87662124633789 + ], + [ + "▁unlimited", + -11.876761436462402 + ], + [ + "watt", + -11.876788139343262 + ], + [ + "▁Möglichkeiten", + -11.876813888549805 + ], + [ + "▁schöne", + -11.876847267150879 + ], + [ + "rium", + -11.877076148986816 + ], + [ + "That", + -11.877272605895996 + ], + [ + "▁socio", + -11.877296447753906 + ], + [ + "▁Democrats", + -11.877351760864258 + ], + [ + "guten", + -11.877422332763672 + ], + [ + "▁Lou", + -11.877425193786621 + ], + [ + "ităţi", + -11.877559661865234 + ], + [ + "▁possibilité", + -11.877717018127441 + ], + [ + "▁adjustable", + -11.877938270568848 + ], + [ + "▁Salt", + -11.877967834472656 + ], + [ + "Thr", + -11.878021240234375 + ], + [ + "▁biseric", + -11.878056526184082 + ], + [ + "ieux", + -11.87808895111084 + ], + [ + "▁procur", + -11.8782377243042 + ], + [ + "▁credits", + -11.878250122070312 + ], + [ + "▁Netflix", + -11.878585815429688 + ], + [ + "doi", + -11.878605842590332 + ], + [ + "▁Jews", + -11.878663063049316 + ], + [ + "▁Ukraine", + -11.87873363494873 + ], + [ + "▁adevărat", + -11.878785133361816 + ], + [ + "▁Apply", + -11.878813743591309 + ], + [ + "▁coupons", + -11.878859519958496 + ], + [ + "▁Detroit", + -11.878881454467773 + ], + [ + "▁rue", + -11.878889083862305 + ], + [ + "anumite", + -11.878926277160645 + ], + [ + "ished", + -11.878973960876465 + ], + [ + "▁withdrawal", + -11.87915325164795 + ], + [ + "▁replacing", + -11.87917709350586 + ], + [ + "catching", + -11.879385948181152 + ], + [ + "▁climbing", + -11.879612922668457 + ], + [ + "▁Basic", + -11.879770278930664 + ], + [ + "▁inclus", + -11.879783630371094 + ], + [ + "scope", + -11.879887580871582 + ], + [ + "▁facem", + -11.879892349243164 + ], + [ + "▁plec", + -11.879904747009277 + ], + [ + "mäßig", + -11.879980087280273 + ], + [ + "▁tasty", + -11.880064010620117 + ], + [ + "▁tunnel", + -11.880074501037598 + ], + [ + "figured", + -11.88032341003418 + ], + [ + "gged", + -11.880390167236328 + ], + [ + "▁conditii", + -11.880599975585938 + ], + [ + "▁homework", + -11.880631446838379 + ], + [ + "volle", + -11.88063907623291 + ], + [ + "▁Gott", + -11.880807876586914 + ], + [ + "▁95", + -11.880969047546387 + ], + [ + "▁elect", + -11.881020545959473 + ], + [ + "▁blast", + -11.881043434143066 + ], + [ + "▁easiest", + -11.881248474121094 + ], + [ + "USE", + -11.881462097167969 + ], + [ + "concentr", + -11.881475448608398 + ], + [ + "orial", + -11.881596565246582 + ], + [ + "▁scroll", + -11.881638526916504 + ], + [ + "stead", + -11.881691932678223 + ], + [ + "▁hormone", + -11.881710052490234 + ], + [ + "▁starter", + -11.88179874420166 + ], + [ + "▁cald", + -11.881878852844238 + ], + [ + "▁wax", + -11.881895065307617 + ], + [ + "▁ridic", + -11.881900787353516 + ], + [ + "ously", + -11.881982803344727 + ], + [ + "maschine", + -11.882101058959961 + ], + [ + "licher", + -11.882399559020996 + ], + [ + "▁16,", + -11.882452964782715 + ], + [ + "▁hassle", + -11.882469177246094 + ], + [ + "semnat", + -11.882535934448242 + ], + [ + "▁pub", + -11.88260555267334 + ], + [ + "240", + -11.882800102233887 + ], + [ + "▁kits", + -11.882871627807617 + ], + [ + "▁Generation", + -11.88293743133545 + ], + [ + "▁merchant", + -11.883052825927734 + ], + [ + "▁Erd", + -11.883068084716797 + ], + [ + "▁café", + -11.883077621459961 + ], + [ + "hoff", + -11.88314151763916 + ], + [ + "▁WITH", + -11.883376121520996 + ], + [ + "▁gesch", + -11.883515357971191 + ], + [ + "▁Editor", + -11.883557319641113 + ], + [ + "▁treats", + -11.883609771728516 + ], + [ + "▁harsh", + -11.883711814880371 + ], + [ + "rome", + -11.883729934692383 + ], + [ + "▁Foreign", + -11.883928298950195 + ], + [ + "▁denied", + -11.883968353271484 + ], + [ + "▁Valentine", + -11.884014129638672 + ], + [ + "▁healthier", + -11.88408088684082 + ], + [ + "▁readily", + -11.884138107299805 + ], + [ + "nac", + -11.884190559387207 + ], + [ + "▁intake", + -11.884191513061523 + ], + [ + "▁puncte", + -11.884230613708496 + ], + [ + "erne", + -11.884431838989258 + ], + [ + "file", + -11.884668350219727 + ], + [ + "▁continually", + -11.884688377380371 + ], + [ + "door", + -11.884699821472168 + ], + [ + "▁imediat", + -11.884822845458984 + ], + [ + "▁accused", + -11.884833335876465 + ], + [ + "chy", + -11.884854316711426 + ], + [ + "▁wrapped", + -11.884861946105957 + ], + [ + "IES", + -11.884878158569336 + ], + [ + "▁terrace", + -11.884883880615234 + ], + [ + "mouth", + -11.884897232055664 + ], + [ + "▁defensive", + -11.884991645812988 + ], + [ + "▁Luci", + -11.88508129119873 + ], + [ + "▁significance", + -11.885107040405273 + ], + [ + "▁2007,", + -11.885213851928711 + ], + [ + "▁inclusion", + -11.885221481323242 + ], + [ + "▁rotation", + -11.885248184204102 + ], + [ + "hos", + -11.885283470153809 + ], + [ + "▁crea", + -11.885357856750488 + ], + [ + "üß", + -11.885903358459473 + ], + [ + "▁Install", + -11.885988235473633 + ], + [ + "▁dump", + -11.885998725891113 + ], + [ + "▁informations", + -11.886114120483398 + ], + [ + "▁Thi", + -11.886117935180664 + ], + [ + "▁85", + -11.886252403259277 + ], + [ + "dox", + -11.886283874511719 + ], + [ + "track", + -11.886436462402344 + ], + [ + "▁couples", + -11.886571884155273 + ], + [ + "▁Assembly", + -11.886594772338867 + ], + [ + "wagen", + -11.88672161102295 + ], + [ + "▁Hil", + -11.886723518371582 + ], + [ + "ières", + -11.886833190917969 + ], + [ + "▁Gabriel", + -11.886903762817383 + ], + [ + "▁patience", + -11.887053489685059 + ], + [ + "▁colored", + -11.887147903442383 + ], + [ + "▁separately", + -11.88715934753418 + ], + [ + "▁deployment", + -11.887166023254395 + ], + [ + "scape", + -11.887306213378906 + ], + [ + "▁Acum", + -11.8875150680542 + ], + [ + "▁länger", + -11.887518882751465 + ], + [ + "▁screens", + -11.887598991394043 + ], + [ + "▁prezenta", + -11.887630462646484 + ], + [ + "▁obicei", + -11.887638092041016 + ], + [ + "▁crisp", + -11.887758255004883 + ], + [ + "▁mechanisms", + -11.887771606445312 + ], + [ + "▁thirty", + -11.887786865234375 + ], + [ + "▁individually", + -11.887989044189453 + ], + [ + "▁internationally", + -11.887991905212402 + ], + [ + "lling", + -11.888050079345703 + ], + [ + "▁bureau", + -11.88843059539795 + ], + [ + "▁erfahren", + -11.88844108581543 + ], + [ + "TY", + -11.888553619384766 + ], + [ + "PF", + -11.888607025146484 + ], + [ + "wid", + -11.888752937316895 + ], + [ + "sell", + -11.888835906982422 + ], + [ + "▁Luke", + -11.888879776000977 + ], + [ + "▁Must", + -11.888916969299316 + ], + [ + "▁identical", + -11.888927459716797 + ], + [ + "▁Netherlands", + -11.888980865478516 + ], + [ + "▁investor", + -11.88905143737793 + ], + [ + "▁squad", + -11.889073371887207 + ], + [ + "▁21,", + -11.889143943786621 + ], + [ + "iko", + -11.889230728149414 + ], + [ + "▁departure", + -11.88937759399414 + ], + [ + "ega", + -11.889384269714355 + ], + [ + "uzi", + -11.889408111572266 + ], + [ + "▁lasa", + -11.889458656311035 + ], + [ + "bian", + -11.889525413513184 + ], + [ + "▁Madrid", + -11.889623641967773 + ], + [ + "▁Iowa", + -11.889806747436523 + ], + [ + "▁Yellow", + -11.890026092529297 + ], + [ + "conom", + -11.89004898071289 + ], + [ + "▁hint", + -11.890098571777344 + ], + [ + "NOW", + -11.890111923217773 + ], + [ + "dress", + -11.890204429626465 + ], + [ + "▁Stück", + -11.890267372131348 + ], + [ + "echt", + -11.890424728393555 + ], + [ + "rial", + -11.89045238494873 + ], + [ + "▁Initiative", + -11.890474319458008 + ], + [ + "▁magnificent", + -11.890474319458008 + ], + [ + "▁pipeline", + -11.890543937683105 + ], + [ + "▁08", + -11.890806198120117 + ], + [ + "▁écrit", + -11.890889167785645 + ], + [ + "KA", + -11.891085624694824 + ], + [ + "arile", + -11.891151428222656 + ], + [ + "▁unfortunately", + -11.891352653503418 + ], + [ + "dose", + -11.891355514526367 + ], + [ + "▁counts", + -11.891427993774414 + ], + [ + "deciding", + -11.891549110412598 + ], + [ + "WA", + -11.89167308807373 + ], + [ + "▁doresc", + -11.891685485839844 + ], + [ + "NY", + -11.892008781433105 + ], + [ + "olin", + -11.892112731933594 + ], + [ + "▁Urlaub", + -11.892133712768555 + ], + [ + "▁alătur", + -11.892317771911621 + ], + [ + "▁Vic", + -11.892515182495117 + ], + [ + "▁fier", + -11.89269733428955 + ], + [ + "EU", + -11.892772674560547 + ], + [ + "▁triple", + -11.892871856689453 + ], + [ + "▁compliment", + -11.89310359954834 + ], + [ + "▁vegetable", + -11.89334487915039 + ], + [ + "member", + -11.893743515014648 + ], + [ + "atiei", + -11.893793106079102 + ], + [ + "▁toxic", + -11.893835067749023 + ], + [ + "▁converted", + -11.893888473510742 + ], + [ + "▁Pink", + -11.893999099731445 + ], + [ + "▁fragment", + -11.894020080566406 + ], + [ + "presenting", + -11.894027709960938 + ], + [ + "▁garantie", + -11.894031524658203 + ], + [ + "▁31,", + -11.894052505493164 + ], + [ + "▁puisqu", + -11.894105911254883 + ], + [ + "aching", + -11.894107818603516 + ], + [ + "▁Shan", + -11.894119262695312 + ], + [ + "▁Affairs", + -11.894368171691895 + ], + [ + "üsse", + -11.894405364990234 + ], + [ + "▁CBD", + -11.894428253173828 + ], + [ + "▁quatre", + -11.894588470458984 + ], + [ + "▁horror", + -11.894651412963867 + ], + [ + "▁culoare", + -11.894661903381348 + ], + [ + "▁welcoming", + -11.894673347473145 + ], + [ + "▁headache", + -11.894808769226074 + ], + [ + "▁septembre", + -11.894820213317871 + ], + [ + "▁Tür", + -11.894862174987793 + ], + [ + "lateral", + -11.89507007598877 + ], + [ + "▁termin", + -11.895228385925293 + ], + [ + "▁Aid", + -11.895291328430176 + ], + [ + "second", + -11.895308494567871 + ], + [ + "▁Philip", + -11.895310401916504 + ], + [ + "berries", + -11.895347595214844 + ], + [ + "▁Slot", + -11.895431518554688 + ], + [ + "ка", + -11.895442962646484 + ], + [ + "▁consecutive", + -11.895590782165527 + ], + [ + "value", + -11.895705223083496 + ], + [ + "▁islands", + -11.8958101272583 + ], + [ + "▁posibilitatea", + -11.895928382873535 + ], + [ + "0.5", + -11.896341323852539 + ], + [ + "▁Dumpster", + -11.896471977233887 + ], + [ + "▁Gran", + -11.89647388458252 + ], + [ + "▁restricted", + -11.8967924118042 + ], + [ + "▁discussing", + -11.896921157836914 + ], + [ + "cock", + -11.896966934204102 + ], + [ + "Serie", + -11.896989822387695 + ], + [ + "▁crushing", + -11.896998405456543 + ], + [ + "RB", + -11.897034645080566 + ], + [ + "▁Gy", + -11.897068977355957 + ], + [ + "normal", + -11.897098541259766 + ], + [ + "DT", + -11.897180557250977 + ], + [ + "▁concurs", + -11.897181510925293 + ], + [ + "▁Beratung", + -11.897231101989746 + ], + [ + "▁handful", + -11.897235870361328 + ], + [ + "▁loading", + -11.897237777709961 + ], + [ + "▁WI", + -11.897269248962402 + ], + [ + "▁Fitness", + -11.897283554077148 + ], + [ + "▁RAM", + -11.897302627563477 + ], + [ + "▁Twi", + -11.89730453491211 + ], + [ + "adurch", + -11.897345542907715 + ], + [ + "▁obiectiv", + -11.897366523742676 + ], + [ + "BM", + -11.897635459899902 + ], + [ + "▁amendment", + -11.8976469039917 + ], + [ + "whi", + -11.897652626037598 + ], + [ + "▁Besonder", + -11.897871017456055 + ], + [ + "ALL", + -11.898003578186035 + ], + [ + "▁earning", + -11.898090362548828 + ], + [ + "▁nutrients", + -11.898580551147461 + ], + [ + "pru", + -11.898633003234863 + ], + [ + "▁offensive", + -11.898696899414062 + ], + [ + "▁shelves", + -11.898711204528809 + ], + [ + "▁încâ", + -11.898726463317871 + ], + [ + "▁execute", + -11.898923873901367 + ], + [ + "▁cauz", + -11.898966789245605 + ], + [ + "exist", + -11.899179458618164 + ], + [ + "▁Meter", + -11.899191856384277 + ], + [ + "there", + -11.899201393127441 + ], + [ + "▁réaliser", + -11.899249076843262 + ], + [ + "blog", + -11.899362564086914 + ], + [ + "▁résultats", + -11.89937973022461 + ], + [ + "baren", + -11.899391174316406 + ], + [ + "▁lang", + -11.899425506591797 + ], + [ + "▁mere", + -11.899870872497559 + ], + [ + "▁toti", + -11.900079727172852 + ], + [ + "DN", + -11.90017032623291 + ], + [ + "Hi", + -11.900310516357422 + ], + [ + "▁merg", + -11.900359153747559 + ], + [ + "▁Camera", + -11.90054988861084 + ], + [ + "▁parfum", + -11.900697708129883 + ], + [ + "CG", + -11.900701522827148 + ], + [ + "posed", + -11.900713920593262 + ], + [ + "▁proposals", + -11.900732040405273 + ], + [ + "▁incorrect", + -11.900811195373535 + ], + [ + "▁Denver", + -11.901168823242188 + ], + [ + "▁noapte", + -11.901397705078125 + ], + [ + "▁VPN", + -11.901436805725098 + ], + [ + "▁Oklahoma", + -11.90159797668457 + ], + [ + "horizon", + -11.901647567749023 + ], + [ + "▁villa", + -11.901668548583984 + ], + [ + "duce", + -11.901812553405762 + ], + [ + "Dienst", + -11.902042388916016 + ], + [ + "▁oversee", + -11.902511596679688 + ], + [ + "astr", + -11.902548789978027 + ], + [ + "brand", + -11.902713775634766 + ], + [ + "▁Safe", + -11.902746200561523 + ], + [ + "▁competing", + -11.902812004089355 + ], + [ + "▁subiect", + -11.902812004089355 + ], + [ + "▁équipe", + -11.903091430664062 + ], + [ + "▁Dress", + -11.903095245361328 + ], + [ + "▁Juni", + -11.903139114379883 + ], + [ + "▁repeated", + -11.90317153930664 + ], + [ + "2012", + -11.903226852416992 + ], + [ + "▁départ", + -11.903234481811523 + ], + [ + "immer", + -11.903335571289062 + ], + [ + "▁mondial", + -11.903374671936035 + ], + [ + "▁datelor", + -11.903703689575195 + ], + [ + "▁surgeon", + -11.903782844543457 + ], + [ + "▁demanding", + -11.903812408447266 + ], + [ + "▁concluded", + -11.903878211975098 + ], + [ + "țiile", + -11.903950691223145 + ], + [ + "marin", + -11.903999328613281 + ], + [ + "▁estim", + -11.904206275939941 + ], + [ + "▁Loan", + -11.904361724853516 + ], + [ + "sculpt", + -11.904373168945312 + ], + [ + "▁99", + -11.904391288757324 + ], + [ + "void", + -11.904400825500488 + ], + [ + "▁Empire", + -11.904499053955078 + ], + [ + "▁Brit", + -11.90450382232666 + ], + [ + "▁véhicule", + -11.904777526855469 + ], + [ + "▁dividend", + -11.905069351196289 + ], + [ + "▁refused", + -11.905077934265137 + ], + [ + "▁speaks", + -11.905156135559082 + ], + [ + "▁Morris", + -11.905282020568848 + ], + [ + "dict", + -11.905349731445312 + ], + [ + "▁funeral", + -11.905556678771973 + ], + [ + "▁Behandlung", + -11.905763626098633 + ], + [ + "▁Revolution", + -11.905905723571777 + ], + [ + "▁Sum", + -11.905935287475586 + ], + [ + "einigen", + -11.906030654907227 + ], + [ + "RES", + -11.906070709228516 + ], + [ + "▁vite", + -11.906071662902832 + ], + [ + "▁Captain", + -11.906190872192383 + ], + [ + "▁assurance", + -11.9061918258667 + ], + [ + "uga", + -11.906500816345215 + ], + [ + "▁conserv", + -11.906583786010742 + ], + [ + "▁therapeutic", + -11.906641006469727 + ], + [ + "▁Sweden", + -11.906753540039062 + ], + [ + "▁Lead", + -11.906888961791992 + ], + [ + "ément", + -11.907071113586426 + ], + [ + "▁53", + -11.90709114074707 + ], + [ + "▁fraction", + -11.9071683883667 + ], + [ + "▁magnet", + -11.907170295715332 + ], + [ + "assurer", + -11.907184600830078 + ], + [ + "▁Steuer", + -11.90733814239502 + ], + [ + "▁flori", + -11.90735149383545 + ], + [ + "▁charming", + -11.907588958740234 + ], + [ + "▁athletic", + -11.907621383666992 + ], + [ + "▁membri", + -11.907706260681152 + ], + [ + "▁Sep", + -11.907726287841797 + ], + [ + "ogue", + -11.907800674438477 + ], + [ + "▁familie", + -11.907800674438477 + ], + [ + "▁SW", + -11.90796947479248 + ], + [ + "▁diagnosed", + -11.908023834228516 + ], + [ + "RR", + -11.908143997192383 + ], + [ + "▁Fern", + -11.908233642578125 + ], + [ + "▁rational", + -11.908281326293945 + ], + [ + "▁talents", + -11.90828800201416 + ], + [ + "ziert", + -11.908317565917969 + ], + [ + "▁chemin", + -11.908459663391113 + ], + [ + "sheet", + -11.908562660217285 + ], + [ + "▁outer", + -11.908565521240234 + ], + [ + "▁Kap", + -11.908591270446777 + ], + [ + "▁HERE", + -11.908656120300293 + ], + [ + "▁uman", + -11.908824920654297 + ], + [ + "▁accompany", + -11.908880233764648 + ], + [ + "▁varieties", + -11.908881187438965 + ], + [ + "▁sensors", + -11.908957481384277 + ], + [ + "▁25%", + -11.90919017791748 + ], + [ + "▁tray", + -11.909354209899902 + ], + [ + "▁critique", + -11.909459114074707 + ], + [ + "▁puţin", + -11.909515380859375 + ], + [ + "▁Schüler", + -11.90953540802002 + ], + [ + "▁repar", + -11.909744262695312 + ], + [ + "▁overlook", + -11.909931182861328 + ], + [ + "▁surf", + -11.910048484802246 + ], + [ + "▁tasting", + -11.910118103027344 + ], + [ + "bog", + -11.91027545928955 + ], + [ + "▁Payment", + -11.910289764404297 + ], + [ + "▁Helen", + -11.91049575805664 + ], + [ + "▁Refer", + -11.910694122314453 + ], + [ + "application", + -11.910698890686035 + ], + [ + "lection", + -11.910856246948242 + ], + [ + "▁avril", + -11.911042213439941 + ], + [ + "▁Grace", + -11.911109924316406 + ], + [ + "▁kau", + -11.911274909973145 + ], + [ + "▁libraries", + -11.911319732666016 + ], + [ + "▁closest", + -11.911347389221191 + ], + [ + "▁coating", + -11.911351203918457 + ], + [ + "▁suicide", + -11.911364555358887 + ], + [ + "▁undergraduate", + -11.911449432373047 + ], + [ + "▁stitch", + -11.91149616241455 + ], + [ + "▁reset", + -11.911593437194824 + ], + [ + "▁Greece", + -11.911626815795898 + ], + [ + "▁Fred", + -11.91197681427002 + ], + [ + "▁18.", + -11.912047386169434 + ], + [ + "▁nuit", + -11.912087440490723 + ], + [ + "▁lying", + -11.912199974060059 + ], + [ + "▁cottage", + -11.91232681274414 + ], + [ + "bone", + -11.912477493286133 + ], + [ + "▁milieu", + -11.912480354309082 + ], + [ + "management", + -11.912623405456543 + ], + [ + "▁Freund", + -11.912724494934082 + ], + [ + "▁specially", + -11.912841796875 + ], + [ + "veut", + -11.912961959838867 + ], + [ + "▁necesare", + -11.912999153137207 + ], + [ + "▁cert", + -11.913081169128418 + ], + [ + "articul", + -11.913151741027832 + ], + [ + "150", + -11.913174629211426 + ], + [ + "rounded", + -11.913180351257324 + ], + [ + "▁longue", + -11.913193702697754 + ], + [ + "▁Quel", + -11.913240432739258 + ], + [ + "Until", + -11.913322448730469 + ], + [ + "▁700", + -11.913398742675781 + ], + [ + "▁installations", + -11.913423538208008 + ], + [ + "▁boats", + -11.913467407226562 + ], + [ + "Fig", + -11.913609504699707 + ], + [ + "▁cocktail", + -11.913613319396973 + ], + [ + "▁rocks", + -11.91366958618164 + ], + [ + "meinen", + -11.91374683380127 + ], + [ + "entrepreneur", + -11.913780212402344 + ], + [ + "schwarz", + -11.913924217224121 + ], + [ + "▁diesel", + -11.91392993927002 + ], + [ + "▁villages", + -11.913969039916992 + ], + [ + "▁cups", + -11.914076805114746 + ], + [ + "▁stairs", + -11.914241790771484 + ], + [ + "▁Match", + -11.914350509643555 + ], + [ + "Taking", + -11.914437294006348 + ], + [ + "prin", + -11.914469718933105 + ], + [ + "▁penal", + -11.91472053527832 + ], + [ + "partner", + -11.914867401123047 + ], + [ + "wave", + -11.91497802734375 + ], + [ + "▁baie", + -11.91515064239502 + ], + [ + "LAN", + -11.915151596069336 + ], + [ + "fix", + -11.915202140808105 + ], + [ + "▁surveillance", + -11.915295600891113 + ], + [ + "▁Register", + -11.915343284606934 + ], + [ + "oara", + -11.915536880493164 + ], + [ + "▁Phoenix", + -11.915602684020996 + ], + [ + "aktuellen", + -11.915613174438477 + ], + [ + "▁livres", + -11.915618896484375 + ], + [ + "▁entities", + -11.916102409362793 + ], + [ + "▁Regard", + -11.916112899780273 + ], + [ + "▁Jazz", + -11.91614055633545 + ], + [ + "▁flame", + -11.91616153717041 + ], + [ + "▁independence", + -11.916215896606445 + ], + [ + "▁Adventure", + -11.916341781616211 + ], + [ + "▁assign", + -11.916399955749512 + ], + [ + "▁Adult", + -11.916579246520996 + ], + [ + "kehr", + -11.916666984558105 + ], + [ + "▁ordering", + -11.916850090026855 + ], + [ + "▁charts", + -11.91687297821045 + ], + [ + "▁Român", + -11.916936874389648 + ], + [ + "bauen", + -11.916982650756836 + ], + [ + "▁Floor", + -11.917065620422363 + ], + [ + "▁Meet", + -11.917101860046387 + ], + [ + "▁compromise", + -11.917158126831055 + ], + [ + "regarded", + -11.917171478271484 + ], + [ + "02.", + -11.917215347290039 + ], + [ + "▁granite", + -11.917299270629883 + ], + [ + "▁Judge", + -11.917314529418945 + ], + [ + "opti", + -11.917373657226562 + ], + [ + "liste", + -11.917379379272461 + ], + [ + "▁capacité", + -11.917427062988281 + ], + [ + "▁criticism", + -11.917450904846191 + ], + [ + "LES", + -11.918198585510254 + ], + [ + "▁Century", + -11.918211936950684 + ], + [ + "▁mobility", + -11.918252944946289 + ], + [ + "▁variation", + -11.918622016906738 + ], + [ + "▁Utah", + -11.91867446899414 + ], + [ + "▁seminar", + -11.918678283691406 + ], + [ + "▁experiments", + -11.918803215026855 + ], + [ + "midst", + -11.918943405151367 + ], + [ + "▁Psycho", + -11.919002532958984 + ], + [ + "▁choses", + -11.919121742248535 + ], + [ + "▁Karl", + -11.919175148010254 + ], + [ + "▁ruling", + -11.919286727905273 + ], + [ + "▁Voice", + -11.919404983520508 + ], + [ + "▁împotriv", + -11.919442176818848 + ], + [ + "▁mesaj", + -11.919500350952148 + ], + [ + "▁vrei", + -11.919594764709473 + ], + [ + "fan", + -11.919601440429688 + ], + [ + "parent", + -11.919648170471191 + ], + [ + "▁oraș", + -11.919770240783691 + ], + [ + "▁printable", + -11.919777870178223 + ], + [ + "▁diver", + -11.919859886169434 + ], + [ + "▁ochi", + -11.919949531555176 + ], + [ + "▁teenager", + -11.920125961303711 + ], + [ + "▁Death", + -11.920150756835938 + ], + [ + "▁manque", + -11.920289993286133 + ], + [ + "ască", + -11.920345306396484 + ], + [ + "▁prob", + -11.9203519821167 + ], + [ + "▁télé", + -11.920354843139648 + ], + [ + "cursul", + -11.920378684997559 + ], + [ + "pion", + -11.92052173614502 + ], + [ + "▁dedication", + -11.920644760131836 + ], + [ + "▁opr", + -11.920687675476074 + ], + [ + "führung", + -11.920761108398438 + ], + [ + "▁cognitive", + -11.920827865600586 + ], + [ + "soft", + -11.920868873596191 + ], + [ + "▁19,", + -11.9209623336792 + ], + [ + "▁24-", + -11.921197891235352 + ], + [ + "▁legitimate", + -11.921220779418945 + ], + [ + "▁comedy", + -11.921277046203613 + ], + [ + "▁violation", + -11.921327590942383 + ], + [ + "▁disposal", + -11.921472549438477 + ], + [ + "▁liegen", + -11.921605110168457 + ], + [ + "ко", + -11.921878814697266 + ], + [ + "▁martie", + -11.921931266784668 + ], + [ + "▁Vas", + -11.92212200164795 + ], + [ + "rash", + -11.922134399414062 + ], + [ + "▁hadn", + -11.922174453735352 + ], + [ + "▁connu", + -11.922204971313477 + ], + [ + "▁regelmäßig", + -11.922216415405273 + ], + [ + "▁Webseite", + -11.922224998474121 + ], + [ + "▁failing", + -11.922273635864258 + ], + [ + "explique", + -11.922449111938477 + ], + [ + "▁Player", + -11.922513961791992 + ], + [ + "vul", + -11.922560691833496 + ], + [ + "camp", + -11.922992706298828 + ], + [ + "▁erreicht", + -11.922996520996094 + ], + [ + "▁tags", + -11.922998428344727 + ], + [ + "▁headline", + -11.923210144042969 + ], + [ + "▁banc", + -11.923253059387207 + ], + [ + "▁Mayor", + -11.923309326171875 + ], + [ + "trop", + -11.923395156860352 + ], + [ + "AK", + -11.9235258102417 + ], + [ + "▁lighter", + -11.923602104187012 + ], + [ + "▁syndrome", + -11.923604965209961 + ], + [ + "▁Adrian", + -11.92365550994873 + ], + [ + "▁EUR", + -11.923759460449219 + ], + [ + "▁Missouri", + -11.923916816711426 + ], + [ + "▁Chan", + -11.924108505249023 + ], + [ + "topped", + -11.924233436584473 + ], + [ + "▁nationwide", + -11.924276351928711 + ], + [ + "▁6-", + -11.924302101135254 + ], + [ + "final", + -11.924408912658691 + ], + [ + "ttes", + -11.924485206604004 + ], + [ + "▁FO", + -11.924537658691406 + ], + [ + "▁legi", + -11.924556732177734 + ], + [ + "▁Hum", + -11.924575805664062 + ], + [ + "vita", + -11.924662590026855 + ], + [ + "▁Regen", + -11.924695014953613 + ], + [ + "▁confusion", + -11.92498779296875 + ], + [ + "▁valori", + -11.925142288208008 + ], + [ + "mill", + -11.92516803741455 + ], + [ + "did", + -11.925237655639648 + ], + [ + "pid", + -11.925253868103027 + ], + [ + "▁implications", + -11.925284385681152 + ], + [ + "▁Value", + -11.92552375793457 + ], + [ + "lângă", + -11.925666809082031 + ], + [ + "▁véritable", + -11.92577075958252 + ], + [ + "▁Stick", + -11.925814628601074 + ], + [ + "zol", + -11.925835609436035 + ], + [ + "▁ebenso", + -11.925863265991211 + ], + [ + "west", + -11.925895690917969 + ], + [ + "▁auszu", + -11.92600154876709 + ], + [ + "▁adorable", + -11.926016807556152 + ], + [ + "▁clarity", + -11.92605209350586 + ], + [ + "▁Wash", + -11.926335334777832 + ], + [ + "▁alien", + -11.926423072814941 + ], + [ + "usement", + -11.926626205444336 + ], + [ + "▁bones", + -11.9266357421875 + ], + [ + "▁Beau", + -11.926726341247559 + ], + [ + "▁Jet", + -11.926727294921875 + ], + [ + "▁visibility", + -11.927034378051758 + ], + [ + "impose", + -11.927063941955566 + ], + [ + "food", + -11.927133560180664 + ], + [ + "▁duce", + -11.927361488342285 + ], + [ + "▁Format", + -11.927386283874512 + ], + [ + "▁durability", + -11.927424430847168 + ], + [ + "▁Prim", + -11.927614212036133 + ], + [ + "▁mele", + -11.927629470825195 + ], + [ + "▁dürfen", + -11.927631378173828 + ], + [ + "▁Angebote", + -11.92765998840332 + ], + [ + "▁discharge", + -11.927745819091797 + ], + [ + "▁Justin", + -11.928055763244629 + ], + [ + "▁shame", + -11.928228378295898 + ], + [ + "▁heated", + -11.928282737731934 + ], + [ + "ères", + -11.92856216430664 + ], + [ + "human", + -11.928810119628906 + ], + [ + "4.5", + -11.928831100463867 + ], + [ + "▁lien", + -11.928955078125 + ], + [ + "▁Alan", + -11.92896556854248 + ], + [ + "▁transmis", + -11.929130554199219 + ], + [ + "▁Bul", + -11.929137229919434 + ], + [ + "plu", + -11.929169654846191 + ], + [ + "acul", + -11.929337501525879 + ], + [ + "merk", + -11.929434776306152 + ], + [ + "▁altfel", + -11.929566383361816 + ], + [ + "deli", + -11.929689407348633 + ], + [ + "▁Cru", + -11.930001258850098 + ], + [ + "▁hommes", + -11.930127143859863 + ], + [ + "aurait", + -11.930137634277344 + ], + [ + "cca", + -11.930187225341797 + ], + [ + "▁Path", + -11.930208206176758 + ], + [ + "astronom", + -11.930241584777832 + ], + [ + "▁détail", + -11.930276870727539 + ], + [ + "▁blocked", + -11.930394172668457 + ], + [ + "iding", + -11.93044376373291 + ], + [ + "schä", + -11.930500030517578 + ], + [ + "▁30-", + -11.930624008178711 + ], + [ + "diction", + -11.930813789367676 + ], + [ + "▁pulling", + -11.930868148803711 + ], + [ + "▁Sample", + -11.930924415588379 + ], + [ + "▁renewable", + -11.930997848510742 + ], + [ + "▁Pinterest", + -11.93106746673584 + ], + [ + "▁Tages", + -11.93106746673584 + ], + [ + "▁shed", + -11.931171417236328 + ], + [ + "▁hart", + -11.931188583374023 + ], + [ + "▁serie", + -11.931200981140137 + ], + [ + "▁documentary", + -11.931208610534668 + ], + [ + "gebaut", + -11.931220054626465 + ], + [ + "▁Hause", + -11.931272506713867 + ], + [ + "share", + -11.931303977966309 + ], + [ + "▁inflation", + -11.93138599395752 + ], + [ + "▁gall", + -11.931504249572754 + ], + [ + "▁adjacent", + -11.931673049926758 + ], + [ + "jer", + -11.93173885345459 + ], + [ + "▁Universal", + -11.931946754455566 + ], + [ + "▁disabilities", + -11.931984901428223 + ], + [ + "▁proposition", + -11.93204116821289 + ], + [ + "Work", + -11.932293891906738 + ], + [ + "▁closure", + -11.932306289672852 + ], + [ + "▁separated", + -11.932496070861816 + ], + [ + "▁soda", + -11.932549476623535 + ], + [ + "▁elite", + -11.93263053894043 + ], + [ + "appro", + -11.93265438079834 + ], + [ + "▁acute", + -11.93266487121582 + ], + [ + "utton", + -11.932938575744629 + ], + [ + "▁facă", + -11.933053016662598 + ], + [ + "▁collector", + -11.933121681213379 + ], + [ + "▁unlock", + -11.933249473571777 + ], + [ + "▁Alpha", + -11.933267593383789 + ], + [ + "▁Used", + -11.933267593383789 + ], + [ + "▁applicants", + -11.933302879333496 + ], + [ + "▁înseamn", + -11.933387756347656 + ], + [ + "▁inclu", + -11.933414459228516 + ], + [ + "▁disclosure", + -11.933544158935547 + ], + [ + "▁Fahr", + -11.933995246887207 + ], + [ + "AST", + -11.934061050415039 + ], + [ + "▁vivre", + -11.934069633483887 + ], + [ + "»,", + -11.934167861938477 + ], + [ + "laud", + -11.93430233001709 + ], + [ + "▁soir", + -11.934365272521973 + ], + [ + "▁barrier", + -11.934405326843262 + ], + [ + "înd", + -11.934470176696777 + ], + [ + "▁ambition", + -11.93451976776123 + ], + [ + "asta", + -11.934550285339355 + ], + [ + "occupied", + -11.934747695922852 + ], + [ + "▁Gau", + -11.934774398803711 + ], + [ + "four", + -11.93481159210205 + ], + [ + "▁nap", + -11.934887886047363 + ], + [ + "iez", + -11.934922218322754 + ], + [ + "endra", + -11.935242652893066 + ], + [ + "gaben", + -11.935464859008789 + ], + [ + "▁Carol", + -11.935481071472168 + ], + [ + "▁Switzerland", + -11.935575485229492 + ], + [ + "▁Bond", + -11.935617446899414 + ], + [ + "▁crossing", + -11.935630798339844 + ], + [ + "▁Palace", + -11.9359769821167 + ], + [ + "NG", + -11.935986518859863 + ], + [ + "▁Budget", + -11.93622875213623 + ], + [ + "▁lid", + -11.936372756958008 + ], + [ + "bab", + -11.936393737792969 + ], + [ + "▁polish", + -11.936416625976562 + ], + [ + "▁herbs", + -11.93673038482666 + ], + [ + "▁dear", + -11.936747550964355 + ], + [ + "▁devrai", + -11.936846733093262 + ], + [ + "walk", + -11.936864852905273 + ], + [ + "▁humanity", + -11.936897277832031 + ], + [ + "▁tires", + -11.936978340148926 + ], + [ + "égal", + -11.936994552612305 + ], + [ + "▁bow", + -11.937032699584961 + ], + [ + "▁debris", + -11.937201499938965 + ], + [ + "▁keywords", + -11.937273025512695 + ], + [ + "irk", + -11.937345504760742 + ], + [ + "▁suspend", + -11.937360763549805 + ], + [ + "▁pourra", + -11.93738079071045 + ], + [ + "migran", + -11.937454223632812 + ], + [ + "thereby", + -11.937570571899414 + ], + [ + "▁Harris", + -11.937943458557129 + ], + [ + "ateurs", + -11.937956809997559 + ], + [ + "▁fal", + -11.938271522521973 + ], + [ + "alleged", + -11.938355445861816 + ], + [ + "noch", + -11.938494682312012 + ], + [ + "▁observation", + -11.938506126403809 + ], + [ + "▁București", + -11.93855094909668 + ], + [ + "▁SQL", + -11.938624382019043 + ], + [ + "▁Phase", + -11.938760757446289 + ], + [ + "▁adventures", + -11.93881607055664 + ], + [ + "▁Kol", + -11.938885688781738 + ], + [ + "▁professionnel", + -11.938916206359863 + ], + [ + "crit", + -11.939026832580566 + ], + [ + "LR", + -11.939313888549805 + ], + [ + "▁preview", + -11.939464569091797 + ], + [ + "▁highlighted", + -11.939942359924316 + ], + [ + "▁Stud", + -11.939949035644531 + ], + [ + "▁labour", + -11.939956665039062 + ], + [ + "MV", + -11.9399995803833 + ], + [ + "click", + -11.940049171447754 + ], + [ + "approche", + -11.94016170501709 + ], + [ + "tian", + -11.940183639526367 + ], + [ + "cité", + -11.940192222595215 + ], + [ + "▁Rain", + -11.94028377532959 + ], + [ + "typ", + -11.94032096862793 + ], + [ + "Usually", + -11.940435409545898 + ], + [ + "▁outlet", + -11.940513610839844 + ], + [ + "logging", + -11.940814018249512 + ], + [ + "▁Temperatur", + -11.940906524658203 + ], + [ + "▁Scottish", + -11.94090747833252 + ], + [ + "iga", + -11.940942764282227 + ], + [ + "▁glory", + -11.941086769104004 + ], + [ + "▁Rom", + -11.941242218017578 + ], + [ + "zeug", + -11.941337585449219 + ], + [ + "establishing", + -11.941339492797852 + ], + [ + "▁imaging", + -11.941926002502441 + ], + [ + "▁Beauty", + -11.942015647888184 + ], + [ + "igan", + -11.942042350769043 + ], + [ + "après", + -11.94224739074707 + ], + [ + "Adresse", + -11.942267417907715 + ], + [ + "cliff", + -11.942349433898926 + ], + [ + "▁unnecessary", + -11.943267822265625 + ], + [ + "▁slim", + -11.943324089050293 + ], + [ + "dir", + -11.943490982055664 + ], + [ + "▁leisure", + -11.943660736083984 + ], + [ + "▁principale", + -11.94368839263916 + ], + [ + "▁Viele", + -11.943770408630371 + ], + [ + "▁2007.", + -11.943802833557129 + ], + [ + "Hopefully", + -11.943829536437988 + ], + [ + "cola", + -11.943851470947266 + ], + [ + "▁Planet", + -11.943927764892578 + ], + [ + "▁orientation", + -11.943933486938477 + ], + [ + "▁angry", + -11.94419002532959 + ], + [ + "MIT", + -11.944234848022461 + ], + [ + "▁Kenya", + -11.944265365600586 + ], + [ + "▁bless", + -11.94435977935791 + ], + [ + "▁Fill", + -11.944524765014648 + ], + [ + "▁compar", + -11.944664001464844 + ], + [ + "▁curtain", + -11.94473934173584 + ], + [ + "ţei", + -11.944754600524902 + ], + [ + "▁Az", + -11.94482421875 + ], + [ + "▁Rang", + -11.944908142089844 + ], + [ + "▁dominant", + -11.944974899291992 + ], + [ + "race", + -11.944985389709473 + ], + [ + "▁Target", + -11.944987297058105 + ], + [ + "▁manually", + -11.944987297058105 + ], + [ + "objet", + -11.945024490356445 + ], + [ + "thrown", + -11.945131301879883 + ], + [ + "NF", + -11.945149421691895 + ], + [ + "durant", + -11.945185661315918 + ], + [ + "rect", + -11.945302963256836 + ], + [ + "▁Größe", + -11.945320129394531 + ], + [ + "VM", + -11.9453763961792 + ], + [ + "▁aprilie", + -11.945476531982422 + ], + [ + "▁Welche", + -11.945639610290527 + ], + [ + "▁verde", + -11.946157455444336 + ], + [ + "▁Portugal", + -11.946266174316406 + ], + [ + "▁algorithm", + -11.94627571105957 + ], + [ + "ăț", + -11.946328163146973 + ], + [ + "▁Grey", + -11.946371078491211 + ], + [ + "▁cleaned", + -11.94644832611084 + ], + [ + "▁modes", + -11.946463584899902 + ], + [ + "▁relaxation", + -11.946599006652832 + ], + [ + "mbr", + -11.946786880493164 + ], + [ + "étique", + -11.946821212768555 + ], + [ + "Her", + -11.946904182434082 + ], + [ + "▁beta", + -11.946952819824219 + ], + [ + "▁nobody", + -11.94699764251709 + ], + [ + "▁aplic", + -11.947060585021973 + ], + [ + "present", + -11.947080612182617 + ], + [ + "emis", + -11.947197914123535 + ], + [ + "éléments", + -11.947257995605469 + ], + [ + "▁lately", + -11.947303771972656 + ], + [ + "fab", + -11.94732666015625 + ], + [ + "▁aluminiu", + -11.947373390197754 + ], + [ + "▁vest", + -11.947524070739746 + ], + [ + "▁statue", + -11.947558403015137 + ], + [ + "▁publice", + -11.947586059570312 + ], + [ + "▁merchandise", + -11.9476900100708 + ], + [ + "▁relat", + -11.947810173034668 + ], + [ + "git", + -11.94796371459961 + ], + [ + "▁interne", + -11.948281288146973 + ], + [ + "▁Tokyo", + -11.948325157165527 + ], + [ + "chal", + -11.948348045349121 + ], + [ + "contacted", + -11.948430061340332 + ], + [ + "▁tras", + -11.948455810546875 + ], + [ + "▁Clinic", + -11.948626518249512 + ], + [ + "▁unbe", + -11.948633193969727 + ], + [ + "▁dumneavoastra", + -11.948798179626465 + ], + [ + "float", + -11.949078559875488 + ], + [ + "isson", + -11.94909381866455 + ], + [ + "▁vessel", + -11.949126243591309 + ], + [ + "attempting", + -11.949161529541016 + ], + [ + "▁doute", + -11.94918441772461 + ], + [ + "▁Leadership", + -11.949322700500488 + ], + [ + "▁sustain", + -11.94947338104248 + ], + [ + "▁textile", + -11.949666023254395 + ], + [ + "auer", + -11.949702262878418 + ], + [ + "▁90%", + -11.949899673461914 + ], + [ + "garten", + -11.949911117553711 + ], + [ + "▁adauga", + -11.949991226196289 + ], + [ + "▁Kil", + -11.950061798095703 + ], + [ + "▁troops", + -11.950420379638672 + ], + [ + "▁pale", + -11.950568199157715 + ], + [ + "host", + -11.950743675231934 + ], + [ + "▁cry", + -11.950757026672363 + ], + [ + "▁Alb", + -11.950793266296387 + ], + [ + "▁Brad", + -11.95089340209961 + ], + [ + "▁bicycle", + -11.951054573059082 + ], + [ + "▁24/7", + -11.951217651367188 + ], + [ + "▁с", + -11.951228141784668 + ], + [ + "▁stimul", + -11.951401710510254 + ], + [ + "gler", + -11.951445579528809 + ], + [ + "▁notwendig", + -11.951496124267578 + ], + [ + "▁cousin", + -11.95158863067627 + ], + [ + "cheie", + -11.951600074768066 + ], + [ + "hay", + -11.951751708984375 + ], + [ + "▁rezolv", + -11.952134132385254 + ], + [ + "▁THIS", + -11.952143669128418 + ], + [ + "ordre", + -11.952157974243164 + ], + [ + "iști", + -11.952173233032227 + ], + [ + "▁conclude", + -11.952310562133789 + ], + [ + "▁Lage", + -11.952327728271484 + ], + [ + "▁Entertainment", + -11.952454566955566 + ], + [ + "▁valued", + -11.952478408813477 + ], + [ + "ktion", + -11.95253849029541 + ], + [ + "▁priorities", + -11.95268440246582 + ], + [ + "▁1986", + -11.952770233154297 + ], + [ + "▁fatal", + -11.952934265136719 + ], + [ + "▁accurately", + -11.952988624572754 + ], + [ + "▁1987", + -11.953022956848145 + ], + [ + "▁folk", + -11.953073501586914 + ], + [ + "7)", + -11.953163146972656 + ], + [ + "führer", + -11.95360279083252 + ], + [ + "▁knot", + -11.953612327575684 + ], + [ + "haltung", + -11.953720092773438 + ], + [ + "▁Charlie", + -11.953733444213867 + ], + [ + "âge", + -11.95376205444336 + ], + [ + "▁threshold", + -11.954041481018066 + ], + [ + "▁assault", + -11.954130172729492 + ], + [ + "▁meist", + -11.954141616821289 + ], + [ + "bine", + -11.954155921936035 + ], + [ + "surprisingly", + -11.954171180725098 + ], + [ + "▁Protect", + -11.954180717468262 + ], + [ + "▁Hack", + -11.954258918762207 + ], + [ + "▁Quant", + -11.954537391662598 + ], + [ + "▁Cet", + -11.954782485961914 + ], + [ + "▁convinced", + -11.95481014251709 + ], + [ + "▁muncă", + -11.955033302307129 + ], + [ + "dging", + -11.955066680908203 + ], + [ + "▁Millionen", + -11.955129623413086 + ], + [ + "zahlung", + -11.955148696899414 + ], + [ + "▁anticipated", + -11.955192565917969 + ], + [ + "▁brass", + -11.9552001953125 + ], + [ + "KO", + -11.955244064331055 + ], + [ + "▁culori", + -11.955286979675293 + ], + [ + "▁Aero", + -11.955326080322266 + ], + [ + "▁intermediu", + -11.955373764038086 + ], + [ + "▁Philippines", + -11.955381393432617 + ], + [ + "▁jury", + -11.955387115478516 + ], + [ + "▁Funktion", + -11.95569896697998 + ], + [ + "▁probe", + -11.955704689025879 + ], + [ + "TL", + -11.955748558044434 + ], + [ + "1.0", + -11.955804824829102 + ], + [ + "ELL", + -11.95581340789795 + ], + [ + "She", + -11.956001281738281 + ], + [ + "▁Blood", + -11.956073760986328 + ], + [ + "▁Dean", + -11.956111907958984 + ], + [ + "▁scène", + -11.9561185836792 + ], + [ + "volu", + -11.95621395111084 + ], + [ + "▁Epi", + -11.95621395111084 + ], + [ + "▁séjour", + -11.95627498626709 + ], + [ + "▁Smartphone", + -11.956306457519531 + ], + [ + "▁fired", + -11.956357955932617 + ], + [ + "beat", + -11.95650577545166 + ], + [ + "▁pockets", + -11.956506729125977 + ], + [ + "▁serviciu", + -11.956624031066895 + ], + [ + "▁affairs", + -11.95678424835205 + ], + [ + "▁Ry", + -11.956842422485352 + ], + [ + "▁Stadium", + -11.956954956054688 + ], + [ + "▁snacks", + -11.957182884216309 + ], + [ + "▁efectu", + -11.957221031188965 + ], + [ + "▁Richtung", + -11.957273483276367 + ], + [ + "▁dresses", + -11.957352638244629 + ], + [ + "▁Medien", + -11.95744800567627 + ], + [ + "writer", + -11.95759105682373 + ], + [ + "changing", + -11.957655906677246 + ], + [ + "▁supportive", + -11.957849502563477 + ], + [ + "▁beneath", + -11.957873344421387 + ], + [ + "paid", + -11.958078384399414 + ], + [ + "▁customize", + -11.958155632019043 + ], + [ + "▁Ferr", + -11.958187103271484 + ], + [ + "reaches", + -11.958338737487793 + ], + [ + "arma", + -11.958401679992676 + ], + [ + "ción", + -11.958598136901855 + ], + [ + "▁elderly", + -11.959243774414062 + ], + [ + "▁modification", + -11.95934009552002 + ], + [ + "▁perfection", + -11.959381103515625 + ], + [ + "▁Allow", + -11.959492683410645 + ], + [ + "▁belonging", + -11.959542274475098 + ], + [ + "▁compound", + -11.959589004516602 + ], + [ + "▁Results", + -11.959681510925293 + ], + [ + "▁astăzi", + -11.959793090820312 + ], + [ + "▁Liber", + -11.959818840026855 + ], + [ + "jor", + -11.959850311279297 + ], + [ + "▁Nin", + -11.959980964660645 + ], + [ + "▁lumina", + -11.959992408752441 + ], + [ + "▁130", + -11.960073471069336 + ], + [ + "▁Platform", + -11.960121154785156 + ], + [ + "▁SMS", + -11.960221290588379 + ], + [ + "▁medic", + -11.96024227142334 + ], + [ + "hör", + -11.960315704345703 + ], + [ + "▁Kas", + -11.96038818359375 + ], + [ + "▁tomato", + -11.960403442382812 + ], + [ + "▁logiciel", + -11.960505485534668 + ], + [ + "php", + -11.960654258728027 + ], + [ + "▁premises", + -11.96071720123291 + ], + [ + "▁Communication", + -11.96072769165039 + ], + [ + "▁reprezintă", + -11.960762023925781 + ], + [ + "▁Partners", + -11.960866928100586 + ], + [ + "▁RV", + -11.961090087890625 + ], + [ + "▁pants", + -11.961197853088379 + ], + [ + "▁envie", + -11.961256980895996 + ], + [ + "▁commerce", + -11.961263656616211 + ], + [ + "▁tears", + -11.961298942565918 + ], + [ + "▁cooler", + -11.961494445800781 + ], + [ + "strand", + -11.961556434631348 + ], + [ + "▁Gil", + -11.961588859558105 + ], + [ + "▁référence", + -11.961641311645508 + ], + [ + "▁electronics", + -11.961681365966797 + ], + [ + "exposition", + -11.961700439453125 + ], + [ + "▁Caribbean", + -11.96171760559082 + ], + [ + "▁compelling", + -11.96171760559082 + ], + [ + "luci", + -11.961723327636719 + ], + [ + "▁Brooklyn", + -11.961892127990723 + ], + [ + "▁Thai", + -11.961950302124023 + ], + [ + "dler", + -11.96198844909668 + ], + [ + "▁supra", + -11.962016105651855 + ], + [ + "centered", + -11.962026596069336 + ], + [ + "▁metro", + -11.962081909179688 + ], + [ + "▁03", + -11.962299346923828 + ], + [ + "▁enrich", + -11.962437629699707 + ], + [ + "▁adevarat", + -11.962594985961914 + ], + [ + "5000", + -11.962961196899414 + ], + [ + "▁bell", + -11.96297550201416 + ], + [ + "▁sine", + -11.962996482849121 + ], + [ + "▁appealing", + -11.963088989257812 + ], + [ + "clam", + -11.963116645812988 + ], + [ + "▁vorhanden", + -11.963165283203125 + ], + [ + "▁pickup", + -11.963268280029297 + ], + [ + "▁Alaska", + -11.963269233703613 + ], + [ + "▁Nacht", + -11.963300704956055 + ], + [ + "borough", + -11.9633207321167 + ], + [ + "▁Blanc", + -11.96340274810791 + ], + [ + "▁apare", + -11.963616371154785 + ], + [ + "▁Works", + -11.963798522949219 + ], + [ + "mettent", + -11.963801383972168 + ], + [ + "atter", + -11.96389389038086 + ], + [ + "terra", + -11.963946342468262 + ], + [ + "▁Bit", + -11.964105606079102 + ], + [ + "RL", + -11.964131355285645 + ], + [ + "▁Wander", + -11.964262962341309 + ], + [ + "▁Hawk", + -11.964595794677734 + ], + [ + "▁Probleme", + -11.964665412902832 + ], + [ + "regel", + -11.964729309082031 + ], + [ + "hne", + -11.964739799499512 + ], + [ + "fass", + -11.96486759185791 + ], + [ + "▁Andy", + -11.965014457702637 + ], + [ + "▁befinde", + -11.965179443359375 + ], + [ + "boo", + -11.965265274047852 + ], + [ + "▁connectivity", + -11.965304374694824 + ], + [ + "▁spielt", + -11.965418815612793 + ], + [ + "zweiten", + -11.96547794342041 + ], + [ + "ţilor", + -11.965526580810547 + ], + [ + "▁confi", + -11.96561336517334 + ], + [ + "▁schlecht", + -11.965773582458496 + ], + [ + "▁Beginn", + -11.96581745147705 + ], + [ + "▁floating", + -11.965903282165527 + ], + [ + "nimmt", + -11.966071128845215 + ], + [ + "▁arbeiten", + -11.96611213684082 + ], + [ + "pillar", + -11.966131210327148 + ], + [ + "sterreich", + -11.966347694396973 + ], + [ + "▁Schule", + -11.966446876525879 + ], + [ + "▁durée", + -11.966521263122559 + ], + [ + "▁honestly", + -11.96653938293457 + ], + [ + "▁acel", + -11.9666166305542 + ], + [ + "▁Prozess", + -11.96662425994873 + ], + [ + "Min", + -11.966629028320312 + ], + [ + "enii", + -11.966632843017578 + ], + [ + "DAY", + -11.966758728027344 + ], + [ + "▁Blo", + -11.966806411743164 + ], + [ + "▁bolt", + -11.966946601867676 + ], + [ + "sicher", + -11.967070579528809 + ], + [ + "▁17,", + -11.967122077941895 + ], + [ + "▁anchor", + -11.967215538024902 + ], + [ + "▁consistency", + -11.967241287231445 + ], + [ + "▁relatives", + -11.967263221740723 + ], + [ + "▁lac", + -11.967385292053223 + ], + [ + "105", + -11.967432975769043 + ], + [ + "▁Craig", + -11.967534065246582 + ], + [ + "▁mandate", + -11.967598915100098 + ], + [ + "▁bedeutet", + -11.967674255371094 + ], + [ + "▁Soviet", + -11.967680931091309 + ], + [ + "▁arguments", + -11.967938423156738 + ], + [ + "▁Gebäude", + -11.967997550964355 + ], + [ + "▁Parliament", + -11.968005180358887 + ], + [ + "▁Kha", + -11.968087196350098 + ], + [ + "nica", + -11.968130111694336 + ], + [ + "▁Amazing", + -11.968162536621094 + ], + [ + "gründe", + -11.968179702758789 + ], + [ + "▁Ott", + -11.968269348144531 + ], + [ + "Exp", + -11.968314170837402 + ], + [ + "▁ianuarie", + -11.96848201751709 + ], + [ + "riot", + -11.968571662902832 + ], + [ + "▁futur", + -11.968626976013184 + ], + [ + "▁Honda", + -11.968647956848145 + ], + [ + "!!!!", + -11.96865177154541 + ], + [ + "▁citit", + -11.968689918518066 + ], + [ + "▁22,", + -11.968708992004395 + ], + [ + "țional", + -11.968711853027344 + ], + [ + "▁lovers", + -11.968732833862305 + ], + [ + "▁Current", + -11.968835830688477 + ], + [ + "▁drone", + -11.96927261352539 + ], + [ + "▁promising", + -11.969335556030273 + ], + [ + "devoted", + -11.969443321228027 + ], + [ + "▁Born", + -11.969520568847656 + ], + [ + "▁viitor", + -11.969589233398438 + ], + [ + "▁ritual", + -11.969614028930664 + ], + [ + "▁Guard", + -11.969681739807129 + ], + [ + "09.", + -11.969828605651855 + ], + [ + "▁Py", + -11.970260620117188 + ], + [ + "▁finds", + -11.970380783081055 + ], + [ + "▁boli", + -11.970394134521484 + ], + [ + "▁Mitglieder", + -11.970697402954102 + ], + [ + "ogni", + -11.97107982635498 + ], + [ + "▁stones", + -11.97118854522705 + ], + [ + "rox", + -11.971210479736328 + ], + [ + "▁dock", + -11.971390724182129 + ], + [ + "▁onion", + -11.97144889831543 + ], + [ + "▁classified", + -11.971538543701172 + ], + [ + "big", + -11.971833229064941 + ], + [ + "RG", + -11.971857070922852 + ], + [ + "influenced", + -11.971955299377441 + ], + [ + "▁sudden", + -11.971988677978516 + ], + [ + "▁ample", + -11.97204303741455 + ], + [ + "án", + -11.972095489501953 + ], + [ + "▁ornament", + -11.972122192382812 + ], + [ + "datele", + -11.972227096557617 + ], + [ + "▁Dad", + -11.97225284576416 + ], + [ + "BER", + -11.972278594970703 + ], + [ + "gerecht", + -11.972380638122559 + ], + [ + "kett", + -11.972536087036133 + ], + [ + "▁Antonio", + -11.972572326660156 + ], + [ + "Nu", + -11.972834587097168 + ], + [ + "dium", + -11.97284984588623 + ], + [ + "CAD", + -11.972850799560547 + ], + [ + "▁bundle", + -11.972916603088379 + ], + [ + "▁Vari", + -11.97301197052002 + ], + [ + "▁thrive", + -11.973020553588867 + ], + [ + "▁Seminar", + -11.973071098327637 + ], + [ + "wire", + -11.973084449768066 + ], + [ + "▁contributing", + -11.973114967346191 + ], + [ + "▁Bour", + -11.97320556640625 + ], + [ + "▁dori", + -11.973206520080566 + ], + [ + "▁packing", + -11.97343921661377 + ], + [ + "▁colleges", + -11.973459243774414 + ], + [ + "▁garbage", + -11.97366714477539 + ], + [ + "▁vector", + -11.973837852478027 + ], + [ + "▁suggestion", + -11.973897933959961 + ], + [ + "borne", + -11.973904609680176 + ], + [ + "▁Listen", + -11.973938941955566 + ], + [ + "▁Prix", + -11.973957061767578 + ], + [ + "viennent", + -11.974162101745605 + ], + [ + "insbesondere", + -11.97426700592041 + ], + [ + "▁fonctionne", + -11.974435806274414 + ], + [ + "▁mainstream", + -11.974485397338867 + ], + [ + "▁merci", + -11.974574089050293 + ], + [ + "oko", + -11.97460651397705 + ], + [ + "▁Commerce", + -11.97493839263916 + ], + [ + "▁droits", + -11.975115776062012 + ], + [ + "▁muzica", + -11.975141525268555 + ], + [ + "▁profesor", + -11.9751558303833 + ], + [ + "▁epic", + -11.97518253326416 + ], + [ + "▁intuitive", + -11.975186347961426 + ], + [ + "▁aggregate", + -11.975223541259766 + ], + [ + "▁vaccine", + -11.97529411315918 + ], + [ + "▁dank", + -11.975459098815918 + ], + [ + "▁situ", + -11.975578308105469 + ], + [ + "▁Cand", + -11.975593566894531 + ], + [ + "▁Ganz", + -11.97562313079834 + ], + [ + "▁Crystal", + -11.97578239440918 + ], + [ + "▁discretion", + -11.975825309753418 + ], + [ + "mug", + -11.975997924804688 + ], + [ + "▁anzu", + -11.976144790649414 + ], + [ + "▁cement", + -11.97616958618164 + ], + [ + "▁priest", + -11.97625732421875 + ], + [ + "▁rejected", + -11.976298332214355 + ], + [ + "▁Summit", + -11.976325988769531 + ], + [ + "▁Sara", + -11.976424217224121 + ], + [ + "▁palette", + -11.976527214050293 + ], + [ + "▁continuare", + -11.976569175720215 + ], + [ + "uge", + -11.976676940917969 + ], + [ + "ryl", + -11.976844787597656 + ], + [ + "▁Solid", + -11.977142333984375 + ], + [ + "▁meilleure", + -11.977177619934082 + ], + [ + "▁Tennessee", + -11.977248191833496 + ], + [ + "rail", + -11.977326393127441 + ], + [ + "▁attributes", + -11.9773530960083 + ], + [ + "▁vessels", + -11.977840423583984 + ], + [ + "cylinder", + -11.977900505065918 + ], + [ + "▁parfait", + -11.977916717529297 + ], + [ + "abb", + -11.97801399230957 + ], + [ + "▁Julie", + -11.97806167602539 + ], + [ + "▁pièces", + -11.978120803833008 + ], + [ + "▁proiecte", + -11.978142738342285 + ], + [ + "médi", + -11.978273391723633 + ], + [ + "▁décembre", + -11.9783935546875 + ], + [ + "Per", + -11.97841739654541 + ], + [ + "1/", + -11.978520393371582 + ], + [ + "regulated", + -11.978601455688477 + ], + [ + "▁Dy", + -11.978633880615234 + ], + [ + "▁23,", + -11.978694915771484 + ], + [ + "beck", + -11.978763580322266 + ], + [ + "tură", + -11.97885513305664 + ], + [ + "▁Chiar", + -11.978931427001953 + ], + [ + "▁isolated", + -11.979012489318848 + ], + [ + "▁kennen", + -11.979259490966797 + ], + [ + "Du", + -11.979260444641113 + ], + [ + "reflected", + -11.979482650756836 + ], + [ + "▁belong", + -11.979571342468262 + ], + [ + "▁welcomed", + -11.97969913482666 + ], + [ + "▁Rate", + -11.979776382446289 + ], + [ + "prestigious", + -11.979859352111816 + ], + [ + "▁1/4", + -11.979930877685547 + ], + [ + "▁distinction", + -11.979966163635254 + ], + [ + "▁boring", + -11.980001449584961 + ], + [ + "▁booked", + -11.980369567871094 + ], + [ + "▁citizen", + -11.980441093444824 + ], + [ + "▁comprises", + -11.980498313903809 + ], + [ + "▁aufge", + -11.98051929473877 + ], + [ + "GL", + -11.980566024780273 + ], + [ + "▁nearest", + -11.980616569519043 + ], + [ + "▁printr", + -11.980692863464355 + ], + [ + "▁département", + -11.981318473815918 + ], + [ + "▁planner", + -11.981510162353516 + ], + [ + "▁Rai", + -11.981817245483398 + ], + [ + "▁Broad", + -11.981934547424316 + ], + [ + "▁pastor", + -11.981947898864746 + ], + [ + "▁reservation", + -11.982243537902832 + ], + [ + "▁decembrie", + -11.982315063476562 + ], + [ + "▁suficient", + -11.982501983642578 + ], + [ + "geld", + -11.982560157775879 + ], + [ + "training", + -11.982620239257812 + ], + [ + "deshalb", + -11.982634544372559 + ], + [ + "▁chaud", + -11.982651710510254 + ], + [ + "Cor", + -11.982662200927734 + ], + [ + "▁Grade", + -11.982769966125488 + ], + [ + "▁faţă", + -11.982809066772461 + ], + [ + "story", + -11.982839584350586 + ], + [ + "gericht", + -11.98286247253418 + ], + [ + "▁Got", + -11.982954025268555 + ], + [ + "particulièrement", + -11.982976913452148 + ], + [ + "▁bump", + -11.983051300048828 + ], + [ + "▁fatigue", + -11.983160018920898 + ], + [ + "Activ", + -11.983250617980957 + ], + [ + "▁numéro", + -11.983302116394043 + ], + [ + "▁stranger", + -11.983312606811523 + ], + [ + "▁Skin", + -11.983327865600586 + ], + [ + "add", + -11.98344898223877 + ], + [ + "Ainsi", + -11.98357105255127 + ], + [ + "▁assists", + -11.983684539794922 + ], + [ + "▁zusätzlich", + -11.983943939208984 + ], + [ + "▁vede", + -11.983979225158691 + ], + [ + "RON", + -11.984108924865723 + ], + [ + "▁seemingly", + -11.984126091003418 + ], + [ + "▁NU", + -11.98417854309082 + ], + [ + "geb", + -11.984273910522461 + ], + [ + "▁Release", + -11.984353065490723 + ], + [ + "▁throwing", + -11.984427452087402 + ], + [ + "▁Alabama", + -11.984447479248047 + ], + [ + "▁Something", + -11.984590530395508 + ], + [ + "▁Cuba", + -11.98464584350586 + ], + [ + "▁Verbindung", + -11.984649658203125 + ], + [ + "▁Cir", + -11.984654426574707 + ], + [ + "your", + -11.984713554382324 + ], + [ + "-13", + -11.984748840332031 + ], + [ + "▁Delta", + -11.984801292419434 + ], + [ + "▁Twin", + -11.98504638671875 + ], + [ + "▁governance", + -11.985156059265137 + ], + [ + "▁groom", + -11.985310554504395 + ], + [ + "▁conception", + -11.98533821105957 + ], + [ + "▁governor", + -11.985383033752441 + ], + [ + "▁Spar", + -11.985416412353516 + ], + [ + "▁coastal", + -11.985652923583984 + ], + [ + "▁Seven", + -11.985856056213379 + ], + [ + "▁inclusive", + -11.986002922058105 + ], + [ + "cili", + -11.986035346984863 + ], + [ + "▁Ridge", + -11.986100196838379 + ], + [ + "teller", + -11.986224174499512 + ], + [ + "▁Kin", + -11.986247062683105 + ], + [ + "leiter", + -11.986279487609863 + ], + [ + "stern", + -11.986364364624023 + ], + [ + "change", + -11.986404418945312 + ], + [ + "▁presidential", + -11.986433982849121 + ], + [ + "▁composer", + -11.986544609069824 + ], + [ + "Stu", + -11.986560821533203 + ], + [ + "▁Frankfurt", + -11.986584663391113 + ], + [ + "prä", + -11.986639976501465 + ], + [ + "▁Ideal", + -11.986644744873047 + ], + [ + "▁linear", + -11.986857414245605 + ], + [ + "▁bloom", + -11.986879348754883 + ], + [ + "▁grades", + -11.986881256103516 + ], + [ + "mettant", + -11.98692512512207 + ], + [ + "▁finishes", + -11.986952781677246 + ], + [ + "holz", + -11.987086296081543 + ], + [ + "▁dirty", + -11.987317085266113 + ], + [ + "▁Roh", + -11.987386703491211 + ], + [ + "▁Praxis", + -11.987408638000488 + ], + [ + "tempo", + -11.987433433532715 + ], + [ + "▁attempted", + -11.987433433532715 + ], + [ + "▁primar", + -11.987434387207031 + ], + [ + "▁pomp", + -11.987528800964355 + ], + [ + "▁tolle", + -11.987614631652832 + ], + [ + "▁adres", + -11.988011360168457 + ], + [ + "▁Between", + -11.988066673278809 + ], + [ + "▁ruin", + -11.988432884216309 + ], + [ + "▁matériel", + -11.988561630249023 + ], + [ + "MER", + -11.988913536071777 + ], + [ + "Nevertheless", + -11.989055633544922 + ], + [ + "▁corruption", + -11.989119529724121 + ], + [ + "spire", + -11.989180564880371 + ], + [ + "▁mou", + -11.989208221435547 + ], + [ + "ROM", + -11.989278793334961 + ], + [ + "▁underground", + -11.98935604095459 + ], + [ + "▁relativ", + -11.989389419555664 + ], + [ + "waited", + -11.989462852478027 + ], + [ + "▁speeds", + -11.989468574523926 + ], + [ + "▁adjusted", + -11.989486694335938 + ], + [ + "▁Flat", + -11.989514350891113 + ], + [ + "UND", + -11.98965835571289 + ], + [ + "▁individuelle", + -11.989744186401367 + ], + [ + "▁anybody", + -11.98978042602539 + ], + [ + "EO", + -11.989790916442871 + ], + [ + "->", + -11.989791870117188 + ], + [ + "▁Spend", + -11.989876747131348 + ], + [ + "aktion", + -11.990011215209961 + ], + [ + "édit", + -11.99006462097168 + ], + [ + "▁quest", + -11.990078926086426 + ], + [ + "rind", + -11.990541458129883 + ], + [ + "▁mediu", + -11.99057388305664 + ], + [ + "▁barriers", + -11.99062442779541 + ], + [ + "▁répondre", + -11.990633010864258 + ], + [ + "▁novembre", + -11.990708351135254 + ], + [ + "▁champ", + -11.990736961364746 + ], + [ + "saw", + -11.990757942199707 + ], + [ + "▁fed", + -11.990804672241211 + ], + [ + "▁favorites", + -11.990939140319824 + ], + [ + "▁shield", + -11.991055488586426 + ], + [ + "▁Wide", + -11.991146087646484 + ], + [ + "▁problema", + -11.991445541381836 + ], + [ + "▁Asta", + -11.991525650024414 + ], + [ + "▁refreshing", + -11.99168872833252 + ], + [ + "hey", + -11.991692543029785 + ], + [ + "obtaining", + -11.991788864135742 + ], + [ + "▁parler", + -11.992072105407715 + ], + [ + "▁Cele", + -11.992134094238281 + ], + [ + "frage", + -11.992136001586914 + ], + [ + "écran", + -11.992324829101562 + ], + [ + "▁cleared", + -11.992448806762695 + ], + [ + "zehn", + -11.992594718933105 + ], + [ + "parmi", + -11.992647171020508 + ], + [ + "änder", + -11.992691993713379 + ], + [ + "▁Defense", + -11.992693901062012 + ], + [ + "tatea", + -11.992696762084961 + ], + [ + "▁reasonably", + -11.992939949035645 + ], + [ + "▁Idee", + -11.992985725402832 + ], + [ + "nehm", + -11.993000030517578 + ], + [ + "technologie", + -11.993020057678223 + ], + [ + "atura", + -11.993048667907715 + ], + [ + "▁slope", + -11.993332862854004 + ], + [ + "Hence", + -11.993351936340332 + ], + [ + "▁40%", + -11.993391990661621 + ], + [ + "▁jewe", + -11.993448257446289 + ], + [ + "▁queries", + -11.993470191955566 + ], + [ + "▁$8", + -11.994096755981445 + ], + [ + "▁Parker", + -11.994107246398926 + ], + [ + "▁publique", + -11.994488716125488 + ], + [ + "quant", + -11.994529724121094 + ], + [ + "issue", + -11.994690895080566 + ], + [ + "▁Cleveland", + -11.994847297668457 + ], + [ + "4,000", + -11.995071411132812 + ], + [ + "IDE", + -11.995145797729492 + ], + [ + "▁Barbara", + -11.995233535766602 + ], + [ + "udge", + -11.995477676391602 + ], + [ + "corn", + -11.99554443359375 + ], + [ + "veți", + -11.995588302612305 + ], + [ + "▁proteins", + -11.995707511901855 + ], + [ + "▁trăi", + -11.995793342590332 + ], + [ + "▁mijloc", + -11.995842933654785 + ], + [ + "logie", + -11.995884895324707 + ], + [ + "▁Walter", + -11.995884895324707 + ], + [ + "heißt", + -11.99593448638916 + ], + [ + "search", + -11.995946884155273 + ], + [ + "▁hochwertige", + -11.996010780334473 + ], + [ + "▁încerc", + -11.996014595031738 + ], + [ + "▁administrator", + -11.99608039855957 + ], + [ + "tension", + -11.996133804321289 + ], + [ + "▁homemade", + -11.996438026428223 + ], + [ + "▁$20", + -11.99651050567627 + ], + [ + "▁leben", + -11.996662139892578 + ], + [ + "netz", + -11.996665954589844 + ], + [ + "▁intensity", + -11.996882438659668 + ], + [ + "▁clever", + -11.996891975402832 + ], + [ + "▁installer", + -11.996999740600586 + ], + [ + "▁Wand", + -11.997087478637695 + ], + [ + "meister", + -11.997130393981934 + ], + [ + "ziel", + -11.99744701385498 + ], + [ + "▁architect", + -11.99748706817627 + ], + [ + "▁crede", + -11.997512817382812 + ], + [ + "▁Sleep", + -11.997675895690918 + ], + [ + "▁demonstr", + -11.997745513916016 + ], + [ + "cake", + -11.997781753540039 + ], + [ + "▁Cheap", + -11.997783660888672 + ], + [ + "pool", + -11.9979829788208 + ], + [ + "▁gadget", + -11.998004913330078 + ], + [ + "▁Anbieter", + -11.998005867004395 + ], + [ + "▁Jonathan", + -11.998170852661133 + ], + [ + "ül", + -11.998492240905762 + ], + [ + "▁Harvard", + -11.998503684997559 + ], + [ + "▁1985", + -11.998773574829102 + ], + [ + "HP", + -11.998839378356934 + ], + [ + "▁afara", + -11.99893569946289 + ], + [ + "▁halten", + -11.999008178710938 + ], + [ + "▁Technik", + -11.999042510986328 + ], + [ + "▁dressed", + -11.999149322509766 + ], + [ + "weis", + -11.999165534973145 + ], + [ + "▁donated", + -11.9993314743042 + ], + [ + "also", + -11.99938678741455 + ], + [ + "▁EN", + -11.999405860900879 + ], + [ + "▁imprim", + -11.99942398071289 + ], + [ + "▁onions", + -11.999458312988281 + ], + [ + "Par", + -11.99950122833252 + ], + [ + "▁donate", + -11.99958324432373 + ], + [ + "▁mice", + -11.999610900878906 + ], + [ + "referring", + -11.999897956848145 + ], + [ + "▁restored", + -12.00003433227539 + ], + [ + "▁amateur", + -12.0000581741333 + ], + [ + "▁Switch", + -12.000075340270996 + ], + [ + "appel", + -12.00013542175293 + ], + [ + "▁idéal", + -12.0001859664917 + ], + [ + "▁wheat", + -12.000199317932129 + ], + [ + "▁lime", + -12.000240325927734 + ], + [ + "REA", + -12.00027084350586 + ], + [ + "riti", + -12.000357627868652 + ], + [ + "ţiile", + -12.00058364868164 + ], + [ + "▁machinery", + -12.00064754486084 + ], + [ + "UNE", + -12.00089168548584 + ], + [ + "▁Cont", + -12.000971794128418 + ], + [ + "▁attendees", + -12.001014709472656 + ], + [ + "▁aparat", + -12.001080513000488 + ], + [ + "freundlich", + -12.00117301940918 + ], + [ + "▁zilnic", + -12.001175880432129 + ], + [ + "▁spark", + -12.001421928405762 + ], + [ + "▁Gast", + -12.001459121704102 + ], + [ + "▁Issue", + -12.00147533416748 + ], + [ + "▁scam", + -12.001566886901855 + ], + [ + "▁bonds", + -12.001618385314941 + ], + [ + "owner", + -12.001641273498535 + ], + [ + "▁empfehlen", + -12.001673698425293 + ], + [ + "elia", + -12.001749992370605 + ], + [ + "cic", + -12.001757621765137 + ], + [ + "▁honored", + -12.001800537109375 + ], + [ + "▁castle", + -12.001846313476562 + ], + [ + "avand", + -12.002058982849121 + ], + [ + "rough", + -12.002108573913574 + ], + [ + "▁Address", + -12.002116203308105 + ], + [ + "angle", + -12.00217342376709 + ], + [ + "leton", + -12.002259254455566 + ], + [ + "▁locked", + -12.002392768859863 + ], + [ + "▁consolid", + -12.00248908996582 + ], + [ + "▁voucher", + -12.003011703491211 + ], + [ + "ației", + -12.003201484680176 + ], + [ + "wachsen", + -12.003211975097656 + ], + [ + "▁magazines", + -12.003287315368652 + ], + [ + "▁Schools", + -12.003318786621094 + ], + [ + "▁voices", + -12.003362655639648 + ], + [ + "▁Dry", + -12.003479957580566 + ], + [ + "▁tricks", + -12.00349235534668 + ], + [ + "schließlich", + -12.003546714782715 + ], + [ + "▁loyalty", + -12.003687858581543 + ], + [ + "risk", + -12.003764152526855 + ], + [ + "▁Vers", + -12.003786087036133 + ], + [ + "chester", + -12.003802299499512 + ], + [ + "▁decorated", + -12.003830909729004 + ], + [ + "▁copiilor", + -12.003969192504883 + ], + [ + "riz", + -12.003994941711426 + ], + [ + "03.", + -12.004013061523438 + ], + [ + "▁Hur", + -12.004016876220703 + ], + [ + "▁archive", + -12.004021644592285 + ], + [ + "▁Continue", + -12.004042625427246 + ], + [ + "▁Nähe", + -12.004043579101562 + ], + [ + "jit", + -12.004090309143066 + ], + [ + "gekommen", + -12.004301071166992 + ], + [ + "▁conjunction", + -12.004349708557129 + ], + [ + "combining", + -12.004404067993164 + ], + [ + "▁Unterstützung", + -12.004517555236816 + ], + [ + "oza", + -12.004593849182129 + ], + [ + "▁sketch", + -12.004720687866211 + ], + [ + "▁arată", + -12.004731178283691 + ], + [ + "▁Mining", + -12.004765510559082 + ], + [ + "uous", + -12.004791259765625 + ], + [ + "▁devis", + -12.004834175109863 + ], + [ + "Almost", + -12.004862785339355 + ], + [ + "Hu", + -12.005037307739258 + ], + [ + "▁Om", + -12.005366325378418 + ], + [ + "MF", + -12.00544548034668 + ], + [ + "liz", + -12.005451202392578 + ], + [ + "▁fails", + -12.005456924438477 + ], + [ + "▁comparable", + -12.005459785461426 + ], + [ + "▁vein", + -12.005547523498535 + ], + [ + "▁Vis", + -12.00561809539795 + ], + [ + "▁viagra", + -12.005654335021973 + ], + [ + "▁farming", + -12.005678176879883 + ], + [ + "▁Late", + -12.005765914916992 + ], + [ + "geschrieben", + -12.006033897399902 + ], + [ + "hrew", + -12.006103515625 + ], + [ + "▁melt", + -12.006120681762695 + ], + [ + "lager", + -12.006168365478516 + ], + [ + "halte", + -12.006240844726562 + ], + [ + "▁Hotels", + -12.006266593933105 + ], + [ + "▁facebook", + -12.0064058303833 + ], + [ + "▁défi", + -12.006550788879395 + ], + [ + "shore", + -12.006802558898926 + ], + [ + "▁membrane", + -12.006866455078125 + ], + [ + "▁sixth", + -12.006903648376465 + ], + [ + "api", + -12.007003784179688 + ], + [ + "▁Owner", + -12.007222175598145 + ], + [ + "▁(\"", + -12.007234573364258 + ], + [ + "▁$50", + -12.007280349731445 + ], + [ + "▁protective", + -12.007420539855957 + ], + [ + "/2", + -12.007548332214355 + ], + [ + "▁Girls", + -12.007562637329102 + ], + [ + "Gri", + -12.00769329071045 + ], + [ + "▁nouă", + -12.007708549499512 + ], + [ + "▁infections", + -12.007813453674316 + ], + [ + "rân", + -12.007868766784668 + ], + [ + "▁Geb", + -12.0078763961792 + ], + [ + "▁Conseil", + -12.007905006408691 + ], + [ + "▁imagini", + -12.007909774780273 + ], + [ + "▁promotions", + -12.00794792175293 + ], + [ + "▁enforce", + -12.00795841217041 + ], + [ + "▁applicant", + -12.007965087890625 + ], + [ + "▁Apart", + -12.008087158203125 + ], + [ + "▁progression", + -12.008151054382324 + ], + [ + "▁careers", + -12.008511543273926 + ], + [ + "▁litigation", + -12.008533477783203 + ], + [ + "▁Menge", + -12.00866413116455 + ], + [ + "▁Contract", + -12.00871753692627 + ], + [ + "▁Kel", + -12.0087308883667 + ], + [ + "▁réserve", + -12.008769035339355 + ], + [ + "▁Cold", + -12.008870124816895 + ], + [ + "▁larg", + -12.009040832519531 + ], + [ + "▁microwave", + -12.009090423583984 + ], + [ + "▁Whit", + -12.009212493896484 + ], + [ + "▁Technologies", + -12.009381294250488 + ], + [ + "OU", + -12.00949478149414 + ], + [ + "itudine", + -12.00959587097168 + ], + [ + "▁handles", + -12.009895324707031 + ], + [ + "▁proceedings", + -12.009982109069824 + ], + [ + "▁prizes", + -12.010043144226074 + ], + [ + "▁unterstützen", + -12.010062217712402 + ], + [ + "▁piele", + -12.010090827941895 + ], + [ + "▁profound", + -12.010153770446777 + ], + [ + "schließen", + -12.0101957321167 + ], + [ + "▁trafic", + -12.01025104522705 + ], + [ + "▁Nar", + -12.010441780090332 + ], + [ + "▁Gesamt", + -12.0106201171875 + ], + [ + "▁bugs", + -12.010720252990723 + ], + [ + "▁Amy", + -12.010764122009277 + ], + [ + "▁eastern", + -12.010775566101074 + ], + [ + "nice", + -12.010784149169922 + ], + [ + "▁Besuch", + -12.010835647583008 + ], + [ + "▁synth", + -12.010892868041992 + ], + [ + "▁clasa", + -12.011194229125977 + ], + [ + "Book", + -12.01134204864502 + ], + [ + "▁ribbon", + -12.011415481567383 + ], + [ + "▁neues", + -12.011431694030762 + ], + [ + "ZE", + -12.011504173278809 + ], + [ + "▁peers", + -12.011613845825195 + ], + [ + "leistung", + -12.011730194091797 + ], + [ + "▁internship", + -12.011808395385742 + ], + [ + "count", + -12.011850357055664 + ], + [ + "nam", + -12.01193618774414 + ], + [ + "▁12-", + -12.012072563171387 + ], + [ + "acked", + -12.012146949768066 + ], + [ + "gonna", + -12.012146949768066 + ], + [ + "▁Dinge", + -12.01215648651123 + ], + [ + "Time", + -12.012299537658691 + ], + [ + "▁twelve", + -12.01242446899414 + ], + [ + "eye", + -12.012432098388672 + ], + [ + "▁avantaj", + -12.01253604888916 + ], + [ + "▁Glas", + -12.012731552124023 + ], + [ + "aucune", + -12.0127534866333 + ], + [ + "▁boil", + -12.012763977050781 + ], + [ + "▁Gray", + -12.012773513793945 + ], + [ + "adapt", + -12.01288890838623 + ], + [ + "occ", + -12.012895584106445 + ], + [ + "▁prieten", + -12.012897491455078 + ], + [ + "▁trai", + -12.01296615600586 + ], + [ + "▁Scal", + -12.013009071350098 + ], + [ + "▁conscious", + -12.013057708740234 + ], + [ + "▁charter", + -12.013093948364258 + ], + [ + "KS", + -12.013242721557617 + ], + [ + "▁Barr", + -12.013404846191406 + ], + [ + "▁summit", + -12.013411521911621 + ], + [ + "▁inflammation", + -12.013439178466797 + ], + [ + "tungs", + -12.013440132141113 + ], + [ + "ovic", + -12.013449668884277 + ], + [ + "▁conduit", + -12.013465881347656 + ], + [ + "▁Alice", + -12.013702392578125 + ], + [ + "▁veterans", + -12.013850212097168 + ], + [ + "Während", + -12.013944625854492 + ], + [ + "▁maximal", + -12.014013290405273 + ], + [ + "▁Hawaii", + -12.014037132263184 + ], + [ + "▁Pine", + -12.01432991027832 + ], + [ + "acelasi", + -12.014391899108887 + ], + [ + "hyp", + -12.014424324035645 + ], + [ + "sensitivity", + -12.01445198059082 + ], + [ + "pour", + -12.014481544494629 + ], + [ + "ре", + -12.014493942260742 + ], + [ + "▁Kentucky", + -12.015129089355469 + ], + [ + "▁badge", + -12.015276908874512 + ], + [ + "affecting", + -12.015310287475586 + ], + [ + "▁chairman", + -12.015311241149902 + ], + [ + "▁München", + -12.015467643737793 + ], + [ + "▁Hersteller", + -12.015469551086426 + ], + [ + "▁urmat", + -12.015615463256836 + ], + [ + "tels", + -12.015654563903809 + ], + [ + "▁FM", + -12.015701293945312 + ], + [ + "▁Basis", + -12.015732765197754 + ], + [ + "▁erklärt", + -12.015809059143066 + ], + [ + "▁changer", + -12.015859603881836 + ], + [ + "tischen", + -12.0159330368042 + ], + [ + "▁brave", + -12.015960693359375 + ], + [ + "▁siguranta", + -12.015986442565918 + ], + [ + "▁partnerships", + -12.015989303588867 + ], + [ + "ților", + -12.015999794006348 + ], + [ + "▁breathe", + -12.016141891479492 + ], + [ + "rink", + -12.016551971435547 + ], + [ + "▁footage", + -12.016654014587402 + ], + [ + "▁transformed", + -12.016658782958984 + ], + [ + "▁prep", + -12.016866683959961 + ], + [ + "▁upset", + -12.016901969909668 + ], + [ + "▁Native", + -12.017059326171875 + ], + [ + "▁Prima", + -12.017154693603516 + ], + [ + "▁jersey", + -12.017163276672363 + ], + [ + "230", + -12.017182350158691 + ], + [ + "▁lucrurile", + -12.017393112182617 + ], + [ + "▁divine", + -12.017502784729004 + ], + [ + "▁Pit", + -12.017593383789062 + ], + [ + "RIS", + -12.01765251159668 + ], + [ + "▁Cultural", + -12.017672538757324 + ], + [ + "▁exotic", + -12.017786979675293 + ], + [ + "▁tastes", + -12.017881393432617 + ], + [ + "▁bargain", + -12.017913818359375 + ], + [ + "▁optimize", + -12.017985343933105 + ], + [ + "▁électrique", + -12.018012046813965 + ], + [ + "deuxième", + -12.018030166625977 + ], + [ + "▁Gary", + -12.018085479736328 + ], + [ + "▁projection", + -12.018122673034668 + ], + [ + "▁sliding", + -12.018195152282715 + ], + [ + "club", + -12.018216133117676 + ], + [ + "association", + -12.01823902130127 + ], + [ + "▁LG", + -12.018259048461914 + ], + [ + "▁capsule", + -12.018291473388672 + ], + [ + "▁politicians", + -12.018397331237793 + ], + [ + "▁thumb", + -12.018423080444336 + ], + [ + "▁globally", + -12.018743515014648 + ], + [ + "positioned", + -12.018796920776367 + ], + [ + "▁Hamilton", + -12.018861770629883 + ], + [ + "arme", + -12.018881797790527 + ], + [ + "▁efectuat", + -12.018881797790527 + ], + [ + "zip", + -12.019111633300781 + ], + [ + "▁welfare", + -12.019201278686523 + ], + [ + "Leistung", + -12.019230842590332 + ], + [ + "▁Bac", + -12.019316673278809 + ], + [ + "▁fizic", + -12.019338607788086 + ], + [ + "OK", + -12.019454002380371 + ], + [ + "▁limba", + -12.019545555114746 + ], + [ + "▁wardrobe", + -12.019549369812012 + ], + [ + "▁offline", + -12.019627571105957 + ], + [ + "▁fortune", + -12.019665718078613 + ], + [ + "▁dialog", + -12.019681930541992 + ], + [ + "▁dramatically", + -12.01997184753418 + ], + [ + "▁NYC", + -12.020045280456543 + ], + [ + "▁Rem", + -12.02017593383789 + ], + [ + "▁bronze", + -12.020455360412598 + ], + [ + "▁pulse", + -12.02053451538086 + ], + [ + "Fortunately", + -12.020562171936035 + ], + [ + "▁glue", + -12.020596504211426 + ], + [ + "▁Expo", + -12.020720481872559 + ], + [ + "▁profitable", + -12.020776748657227 + ], + [ + "▁distributor", + -12.020845413208008 + ], + [ + "abilité", + -12.020869255065918 + ], + [ + "▁lyrics", + -12.020913124084473 + ], + [ + "▁mesh", + -12.02114486694336 + ], + [ + "▁organizational", + -12.021157264709473 + ], + [ + "▁vanilla", + -12.021249771118164 + ], + [ + "▁foc", + -12.021355628967285 + ], + [ + "▁1984", + -12.02147388458252 + ], + [ + "▁créé", + -12.02172565460205 + ], + [ + "▁servi", + -12.022027969360352 + ], + [ + "▁underneath", + -12.022095680236816 + ], + [ + "▁surveys", + -12.022143363952637 + ], + [ + "▁genes", + -12.022238731384277 + ], + [ + "▁limite", + -12.02224349975586 + ], + [ + "oder", + -12.022247314453125 + ], + [ + "▁mandatory", + -12.022269248962402 + ], + [ + "▁hospitality", + -12.022303581237793 + ], + [ + "▁bikes", + -12.022309303283691 + ], + [ + "▁Quote", + -12.022358894348145 + ], + [ + "glu", + -12.02241039276123 + ], + [ + "▁activitatea", + -12.022513389587402 + ], + [ + "preventing", + -12.022584915161133 + ], + [ + "▁Kh", + -12.02259635925293 + ], + [ + "économie", + -12.022616386413574 + ], + [ + "▁visite", + -12.022757530212402 + ], + [ + "▁spectacle", + -12.022778511047363 + ], + [ + "▁tract", + -12.022860527038574 + ], + [ + "▁quant", + -12.022862434387207 + ], + [ + "▁evolu", + -12.022866249084473 + ], + [ + "▁invata", + -12.023070335388184 + ], + [ + "▁homo", + -12.02311897277832 + ], + [ + "▁Users", + -12.02344799041748 + ], + [ + "introducing", + -12.023632049560547 + ], + [ + "hibi", + -12.023661613464355 + ], + [ + "▁Instrument", + -12.023805618286133 + ], + [ + "▁ép", + -12.023839950561523 + ], + [ + "▁Raj", + -12.023869514465332 + ], + [ + "▁executives", + -12.023881912231445 + ], + [ + "atoire", + -12.023885726928711 + ], + [ + "▁erforderlich", + -12.02397346496582 + ], + [ + "male", + -12.024211883544922 + ], + [ + "umble", + -12.024271011352539 + ], + [ + "erson", + -12.024277687072754 + ], + [ + "▁Treatment", + -12.024286270141602 + ], + [ + "▁Representative", + -12.024314880371094 + ], + [ + "▁corners", + -12.024409294128418 + ], + [ + "▁Petit", + -12.024599075317383 + ], + [ + "8)", + -12.02464771270752 + ], + [ + "▁Walker", + -12.024714469909668 + ], + [ + "▁Stir", + -12.02476692199707 + ], + [ + "/19", + -12.024767875671387 + ], + [ + "▁Stelle", + -12.024979591369629 + ], + [ + "ără", + -12.025009155273438 + ], + [ + "osse", + -12.025166511535645 + ], + [ + "2000", + -12.025189399719238 + ], + [ + "▁McG", + -12.025580406188965 + ], + [ + "DV", + -12.025773048400879 + ], + [ + "▁Firm", + -12.025862693786621 + ], + [ + "▁packet", + -12.025904655456543 + ], + [ + "Toate", + -12.02640438079834 + ], + [ + "▁institutional", + -12.026479721069336 + ], + [ + "rug", + -12.026663780212402 + ], + [ + "DG", + -12.026837348937988 + ], + [ + "fine", + -12.026837348937988 + ], + [ + "bringen", + -12.026856422424316 + ], + [ + "▁Horse", + -12.026921272277832 + ], + [ + "▁premiere", + -12.026937484741211 + ], + [ + "▁Că", + -12.027026176452637 + ], + [ + "acheter", + -12.02703857421875 + ], + [ + "▁Afghanistan", + -12.027053833007812 + ], + [ + "▁Prop", + -12.027085304260254 + ], + [ + "ühr", + -12.02715015411377 + ], + [ + "▁braucht", + -12.027398109436035 + ], + [ + "▁sunny", + -12.027424812316895 + ], + [ + "▁Sach", + -12.027461051940918 + ], + [ + "▁volumes", + -12.02753734588623 + ], + [ + "tinut", + -12.02759838104248 + ], + [ + "▁Sho", + -12.027722358703613 + ], + [ + "▁winds", + -12.027735710144043 + ], + [ + "▁Mall", + -12.027873992919922 + ], + [ + "ledge", + -12.027937889099121 + ], + [ + "▁sciences", + -12.027997016906738 + ], + [ + "plication", + -12.028024673461914 + ], + [ + "VR", + -12.028068542480469 + ], + [ + "destin", + -12.028234481811523 + ], + [ + "▁früh", + -12.02833366394043 + ], + [ + "▁tongue", + -12.028359413146973 + ], + [ + "▁Jennifer", + -12.028425216674805 + ], + [ + "▁bracket", + -12.028427124023438 + ], + [ + "▁episodes", + -12.02845287322998 + ], + [ + "breite", + -12.028461456298828 + ], + [ + "▁stoc", + -12.028635025024414 + ], + [ + "ilia", + -12.028728485107422 + ], + [ + "▁Gulf", + -12.02874755859375 + ], + [ + "▁transparency", + -12.028768539428711 + ], + [ + "Industrie", + -12.028853416442871 + ], + [ + "▁viewers", + -12.028916358947754 + ], + [ + "AIN", + -12.029129981994629 + ], + [ + "▁Registration", + -12.029149055480957 + ], + [ + "/4", + -12.029309272766113 + ], + [ + "▁fera", + -12.029337882995605 + ], + [ + "▁06", + -12.029351234436035 + ], + [ + "▁einzu", + -12.029391288757324 + ], + [ + "enburg", + -12.02944278717041 + ], + [ + "▁eff", + -12.029449462890625 + ], + [ + "▁Stage", + -12.029558181762695 + ], + [ + "▁Cour", + -12.029685020446777 + ], + [ + "indu", + -12.029836654663086 + ], + [ + "▁Tools", + -12.029909133911133 + ], + [ + "IST", + -12.029921531677246 + ], + [ + "grund", + -12.030105590820312 + ], + [ + "seitig", + -12.030153274536133 + ], + [ + "pai", + -12.030250549316406 + ], + [ + "▁waist", + -12.030350685119629 + ], + [ + "▁Therapy", + -12.03049373626709 + ], + [ + "▁nomination", + -12.030599594116211 + ], + [ + "▁seama", + -12.030790328979492 + ], + [ + "▁analyse", + -12.030975341796875 + ], + [ + "▁emerge", + -12.031044006347656 + ], + [ + "▁adjustment", + -12.031106948852539 + ], + [ + "▁stroll", + -12.031106948852539 + ], + [ + "▁Beyond", + -12.031174659729004 + ], + [ + "▁legally", + -12.03122615814209 + ], + [ + "▁gauge", + -12.03123664855957 + ], + [ + "▁26,", + -12.031360626220703 + ], + [ + "Tex", + -12.031390190124512 + ], + [ + "economic", + -12.031488418579102 + ], + [ + "stoffe", + -12.031532287597656 + ], + [ + "Wir", + -12.031559944152832 + ], + [ + "ffen", + -12.031601905822754 + ], + [ + "▁acoperi", + -12.031609535217285 + ], + [ + "▁finale", + -12.031792640686035 + ], + [ + "▁theoretical", + -12.031864166259766 + ], + [ + "1.3", + -12.031875610351562 + ], + [ + "anim", + -12.031888008117676 + ], + [ + "▁separation", + -12.031928062438965 + ], + [ + "agence", + -12.031937599182129 + ], + [ + "▁réalisé", + -12.032069206237793 + ], + [ + "sprech", + -12.03215503692627 + ], + [ + "▁embedded", + -12.032208442687988 + ], + [ + "▁defence", + -12.032242774963379 + ], + [ + "éni", + -12.032569885253906 + ], + [ + "▁Norman", + -12.032613754272461 + ], + [ + "▁insgesamt", + -12.032621383666992 + ], + [ + "▁reminde", + -12.032631874084473 + ], + [ + "▁timeline", + -12.032703399658203 + ], + [ + "▁symbols", + -12.032770156860352 + ], + [ + "▁booth", + -12.032783508300781 + ], + [ + "▁Window", + -12.032788276672363 + ], + [ + "▁Titan", + -12.032910346984863 + ], + [ + "înt", + -12.033021926879883 + ], + [ + "▁langa", + -12.033021926879883 + ], + [ + "isant", + -12.03303337097168 + ], + [ + "hart", + -12.033113479614258 + ], + [ + "broader", + -12.033266067504883 + ], + [ + "▁stays", + -12.033288955688477 + ], + [ + "dur", + -12.033488273620605 + ], + [ + "▁Actually", + -12.033514022827148 + ], + [ + "works", + -12.03351879119873 + ], + [ + "▁réussi", + -12.03357219696045 + ], + [ + "▁performant", + -12.033658981323242 + ], + [ + "▁banana", + -12.033788681030273 + ], + [ + "▁baked", + -12.033870697021484 + ], + [ + "▁Parlament", + -12.033931732177734 + ], + [ + "▁Legend", + -12.033967018127441 + ], + [ + "toata", + -12.034172058105469 + ], + [ + "platte", + -12.03419017791748 + ], + [ + "▁Mou", + -12.034192085266113 + ], + [ + "HL", + -12.034235000610352 + ], + [ + "▁(8", + -12.034290313720703 + ], + [ + "▁accepting", + -12.034313201904297 + ], + [ + "▁Senator", + -12.034340858459473 + ], + [ + "▁consciousness", + -12.034396171569824 + ], + [ + "▁conducting", + -12.0344820022583 + ], + [ + "▁panic", + -12.034833908081055 + ], + [ + "▁FDA", + -12.035112380981445 + ], + [ + "▁(7", + -12.035163879394531 + ], + [ + "tool", + -12.035300254821777 + ], + [ + "▁Shipping", + -12.03538703918457 + ], + [ + "▁hop", + -12.035545349121094 + ], + [ + "▁conferences", + -12.03564167022705 + ], + [ + "▁pork", + -12.035661697387695 + ], + [ + "▁spam", + -12.035730361938477 + ], + [ + "▁interesant", + -12.035815238952637 + ], + [ + "▁Tagen", + -12.03581714630127 + ], + [ + "sig", + -12.035886764526367 + ], + [ + "étro", + -12.036044120788574 + ], + [ + "▁legendary", + -12.036449432373047 + ], + [ + "▁Alternative", + -12.036643981933594 + ], + [ + "iana", + -12.036704063415527 + ], + [ + "▁responsable", + -12.036888122558594 + ], + [ + "▁Mihai", + -12.037237167358398 + ], + [ + "▁decreased", + -12.037345886230469 + ], + [ + "▁organised", + -12.037485122680664 + ], + [ + "▁Lamp", + -12.037589073181152 + ], + [ + "litz", + -12.037622451782227 + ], + [ + "ohn", + -12.037622451782227 + ], + [ + "▁moteur", + -12.0376615524292 + ], + [ + "III", + -12.03768539428711 + ], + [ + "▁Montag", + -12.037755012512207 + ], + [ + "▁naturel", + -12.037814140319824 + ], + [ + "▁Hus", + -12.037842750549316 + ], + [ + "▁Schl", + -12.037884712219238 + ], + [ + "ains", + -12.037968635559082 + ], + [ + "▁dying", + -12.0380859375 + ], + [ + "▁HIV", + -12.038115501403809 + ], + [ + "],", + -12.038164138793945 + ], + [ + "alität", + -12.03818416595459 + ], + [ + "▁institute", + -12.038249015808105 + ], + [ + "mix", + -12.038433074951172 + ], + [ + "▁Regulation", + -12.038453102111816 + ], + [ + "▁pagina", + -12.03857707977295 + ], + [ + "▁Awesome", + -12.03860092163086 + ], + [ + "▁Official", + -12.03860092163086 + ], + [ + "▁Minute", + -12.038601875305176 + ], + [ + "▁dairy", + -12.038787841796875 + ], + [ + "▁carti", + -12.038881301879883 + ], + [ + "isk", + -12.039091110229492 + ], + [ + "▁thrilled", + -12.039138793945312 + ], + [ + "▁german", + -12.039172172546387 + ], + [ + "▁frustration", + -12.039228439331055 + ], + [ + "▁forums", + -12.03927230834961 + ], + [ + "command", + -12.039361000061035 + ], + [ + "▁router", + -12.039399147033691 + ], + [ + "▁Lösung", + -12.039423942565918 + ], + [ + "white", + -12.039470672607422 + ], + [ + "▁synthetic", + -12.039487838745117 + ], + [ + "▁retrouver", + -12.039554595947266 + ], + [ + "alle", + -12.039621353149414 + ], + [ + "daran", + -12.039653778076172 + ], + [ + "▁wahr", + -12.039697647094727 + ], + [ + "▁paths", + -12.039875984191895 + ], + [ + "▁unver", + -12.039962768554688 + ], + [ + "▁Environment", + -12.0400972366333 + ], + [ + "▁médecin", + -12.040510177612305 + ], + [ + "crypt", + -12.040572166442871 + ], + [ + "▁pursuit", + -12.040595054626465 + ], + [ + "flat", + -12.040611267089844 + ], + [ + "bron", + -12.040698051452637 + ], + [ + "▁Specialist", + -12.040852546691895 + ], + [ + "▁Vent", + -12.041157722473145 + ], + [ + "Gen", + -12.04132080078125 + ], + [ + "▁attraction", + -12.04132080078125 + ], + [ + "▁piese", + -12.041372299194336 + ], + [ + "CHE", + -12.041665077209473 + ], + [ + "fähig", + -12.04172420501709 + ], + [ + "▁28,", + -12.041773796081543 + ], + [ + "defender", + -12.041810989379883 + ], + [ + "▁stupid", + -12.04181957244873 + ], + [ + "enfin", + -12.04185962677002 + ], + [ + "▁composite", + -12.04207706451416 + ], + [ + "fragen", + -12.042202949523926 + ], + [ + "Part", + -12.042232513427734 + ], + [ + "may", + -12.042238235473633 + ], + [ + "▁Bucureşti", + -12.042248725891113 + ], + [ + "▁février", + -12.042248725891113 + ], + [ + "RED", + -12.042417526245117 + ], + [ + "▁makers", + -12.042462348937988 + ], + [ + "▁guns", + -12.042594909667969 + ], + [ + "▁pasta", + -12.042706489562988 + ], + [ + "STR", + -12.04271125793457 + ], + [ + "▁worthy", + -12.042760848999023 + ], + [ + "Poate", + -12.042783737182617 + ], + [ + "▁101", + -12.04286003112793 + ], + [ + "▁souhaitez", + -12.04299545288086 + ], + [ + "GN", + -12.043449401855469 + ], + [ + "drive", + -12.043499946594238 + ], + [ + "▁aveti", + -12.043582916259766 + ], + [ + "▁eventual", + -12.043591499328613 + ], + [ + "▁américain", + -12.043642044067383 + ], + [ + "▁Mine", + -12.043678283691406 + ], + [ + "▁sunset", + -12.043729782104492 + ], + [ + "▁Choice", + -12.043844223022461 + ], + [ + "▁offset", + -12.043944358825684 + ], + [ + "APP", + -12.04410457611084 + ], + [ + "▁suchen", + -12.044130325317383 + ], + [ + "▁aduc", + -12.044228553771973 + ], + [ + "▁Unternehmens", + -12.044342041015625 + ], + [ + "▁//", + -12.044651985168457 + ], + [ + "▁astept", + -12.044678688049316 + ], + [ + "▁Birthday", + -12.045061111450195 + ], + [ + "▁barn", + -12.045083999633789 + ], + [ + "apport", + -12.045105934143066 + ], + [ + "▁collar", + -12.045212745666504 + ], + [ + "▁gefunden", + -12.045294761657715 + ], + [ + "▁Hai", + -12.045429229736328 + ], + [ + "▁Soul", + -12.045441627502441 + ], + [ + "ismus", + -12.045654296875 + ], + [ + "letzt", + -12.045754432678223 + ], + [ + "▁maker", + -12.045841217041016 + ], + [ + "▁executed", + -12.045857429504395 + ], + [ + "▁Forschung", + -12.045915603637695 + ], + [ + "▁täglich", + -12.045958518981934 + ], + [ + "▁tailor", + -12.045960426330566 + ], + [ + "▁headquarters", + -12.0460844039917 + ], + [ + "▁physicians", + -12.046112060546875 + ], + [ + "▁Scout", + -12.046126365661621 + ], + [ + "folgen", + -12.046175003051758 + ], + [ + "▁cycling", + -12.046184539794922 + ], + [ + "mindestens", + -12.04620361328125 + ], + [ + "▁joli", + -12.046216011047363 + ], + [ + "▁classification", + -12.046225547790527 + ], + [ + "▁Führung", + -12.046258926391602 + ], + [ + "▁peau", + -12.04629135131836 + ], + [ + "INT", + -12.046502113342285 + ], + [ + "▁Garage", + -12.046664237976074 + ], + [ + "teile", + -12.046714782714844 + ], + [ + "util", + -12.046716690063477 + ], + [ + "▁petrec", + -12.046751022338867 + ], + [ + "▁Nevada", + -12.046826362609863 + ], + [ + "▁laisser", + -12.04706859588623 + ], + [ + "▁territoire", + -12.047131538391113 + ], + [ + "▁fichier", + -12.047154426574707 + ], + [ + "▁Formula", + -12.047343254089355 + ], + [ + "scopul", + -12.047379493713379 + ], + [ + "▁Tee", + -12.047486305236816 + ], + [ + "▁Monte", + -12.047529220581055 + ], + [ + "▁pumpkin", + -12.04757022857666 + ], + [ + "▁picnic", + -12.047589302062988 + ], + [ + "▁occupation", + -12.047652244567871 + ], + [ + "▁numérique", + -12.047831535339355 + ], + [ + "linie", + -12.04786491394043 + ], + [ + "▁masina", + -12.048117637634277 + ], + [ + "▁Prä", + -12.048173904418945 + ], + [ + "▁dezvoltare", + -12.048177719116211 + ], + [ + "▁vient", + -12.048291206359863 + ], + [ + "▁ranks", + -12.048295021057129 + ], + [ + "▁Bruce", + -12.048420906066895 + ], + [ + "▁seara", + -12.048433303833008 + ], + [ + "▁hungry", + -12.048563003540039 + ], + [ + "▁resolved", + -12.048650741577148 + ], + [ + "paired", + -12.048735618591309 + ], + [ + "▁Congratulations", + -12.048881530761719 + ], + [ + "▁religi", + -12.048918724060059 + ], + [ + "sätze", + -12.04897689819336 + ], + [ + "▁Eat", + -12.049172401428223 + ], + [ + "▁dense", + -12.049442291259766 + ], + [ + "▁slice", + -12.049447059631348 + ], + [ + "▁mulți", + -12.049463272094727 + ], + [ + "▁vorbe", + -12.049517631530762 + ], + [ + "▁terminate", + -12.049779891967773 + ], + [ + "worm", + -12.049880981445312 + ], + [ + "ignon", + -12.0499267578125 + ], + [ + "▁Howard", + -12.049992561340332 + ], + [ + "▁toddler", + -12.050017356872559 + ], + [ + "▁waters", + -12.050033569335938 + ], + [ + "▁graduates", + -12.0501708984375 + ], + [ + "▁fundraising", + -12.050298690795898 + ], + [ + "06.", + -12.05031967163086 + ], + [ + "▁scent", + -12.050346374511719 + ], + [ + "▁CPU", + -12.050406455993652 + ], + [ + "▁Kid", + -12.05045223236084 + ], + [ + "▁Years", + -12.050460815429688 + ], + [ + "▁Oktober", + -12.05063533782959 + ], + [ + "filled", + -12.050726890563965 + ], + [ + "▁Laser", + -12.05079460144043 + ], + [ + "▁tut", + -12.051032066345215 + ], + [ + "ively", + -12.051101684570312 + ], + [ + "▁WiFi", + -12.051161766052246 + ], + [ + "standen", + -12.051176071166992 + ], + [ + "▁publié", + -12.051243782043457 + ], + [ + "▁explaining", + -12.051279067993164 + ], + [ + "trieb", + -12.051288604736328 + ], + [ + "▁Rapid", + -12.0513334274292 + ], + [ + "▁unterstützt", + -12.051352500915527 + ], + [ + "▁Sonnen", + -12.051401138305664 + ], + [ + "▁lenses", + -12.05141544342041 + ], + [ + "▁pressing", + -12.051477432250977 + ], + [ + "▁respected", + -12.051657676696777 + ], + [ + "adapted", + -12.051706314086914 + ], + [ + "Don", + -12.051726341247559 + ], + [ + "▁mun", + -12.051733016967773 + ], + [ + "MAR", + -12.05180835723877 + ], + [ + "▁seam", + -12.051852226257324 + ], + [ + "chev", + -12.052140235900879 + ], + [ + "▁Sozial", + -12.052424430847168 + ], + [ + "▁Arabia", + -12.052485466003418 + ], + [ + "▁equation", + -12.05257511138916 + ], + [ + "▁elevi", + -12.052780151367188 + ], + [ + "▁piata", + -12.052868843078613 + ], + [ + "JA", + -12.052873611450195 + ], + [ + "▁wholesale", + -12.052887916564941 + ], + [ + "▁faithful", + -12.05296516418457 + ], + [ + "legal", + -12.053092002868652 + ], + [ + "▁Brexit", + -12.053095817565918 + ], + [ + "vention", + -12.053120613098145 + ], + [ + "▁adhere", + -12.053221702575684 + ], + [ + "▁Associate", + -12.053257942199707 + ], + [ + "▁decorations", + -12.053272247314453 + ], + [ + "▁crois", + -12.053359985351562 + ], + [ + "buck", + -12.053370475769043 + ], + [ + "▁smartphones", + -12.053421020507812 + ], + [ + "Regardless", + -12.053427696228027 + ], + [ + "center", + -12.053434371948242 + ], + [ + "eiß", + -12.053481101989746 + ], + [ + "▁emotion", + -12.053584098815918 + ], + [ + "▁Gespräch", + -12.053797721862793 + ], + [ + "▁Avi", + -12.053963661193848 + ], + [ + "▁loft", + -12.054059982299805 + ], + [ + "▁Wissen", + -12.054391860961914 + ], + [ + "▁orchestra", + -12.05439567565918 + ], + [ + "▁gehören", + -12.054421424865723 + ], + [ + "▁Reich", + -12.054532051086426 + ], + [ + "▁abandoned", + -12.054548263549805 + ], + [ + "▁Lanka", + -12.054586410522461 + ], + [ + "pala", + -12.054832458496094 + ], + [ + "▁Stell", + -12.054838180541992 + ], + [ + "logged", + -12.054924964904785 + ], + [ + "terie", + -12.054935455322266 + ], + [ + "▁educa", + -12.054954528808594 + ], + [ + "1).", + -12.055097579956055 + ], + [ + "▁disponibil", + -12.055119514465332 + ], + [ + "IND", + -12.055197715759277 + ], + [ + "▁Pont", + -12.055288314819336 + ], + [ + "▁téléphone", + -12.055398941040039 + ], + [ + "▁rope", + -12.055595397949219 + ], + [ + "ève", + -12.055622100830078 + ], + [ + "▁Trainer", + -12.056062698364258 + ], + [ + "▁présence", + -12.0560941696167 + ], + [ + "▁Oscar", + -12.056121826171875 + ], + [ + "▁VR", + -12.056342124938965 + ], + [ + "▁Besucher", + -12.056357383728027 + ], + [ + "▁disponibles", + -12.056447982788086 + ], + [ + "▁gelten", + -12.056604385375977 + ], + [ + "▁ports", + -12.056645393371582 + ], + [ + "Invest", + -12.056693077087402 + ], + [ + "ésormais", + -12.056795120239258 + ], + [ + "schauen", + -12.056880950927734 + ], + [ + "▁Command", + -12.056958198547363 + ], + [ + "▁alternate", + -12.05709171295166 + ], + [ + "citation", + -12.05713939666748 + ], + [ + "évolution", + -12.05714225769043 + ], + [ + "▁Maine", + -12.057145118713379 + ], + [ + "pflege", + -12.057174682617188 + ], + [ + "2011", + -12.057343482971191 + ], + [ + "▁Ground", + -12.057364463806152 + ], + [ + "▁ghost", + -12.057418823242188 + ], + [ + "lebt", + -12.057530403137207 + ], + [ + "▁scenarios", + -12.057595252990723 + ], + [ + "▁mall", + -12.057634353637695 + ], + [ + "▁Kings", + -12.057653427124023 + ], + [ + "▁15%", + -12.057848930358887 + ], + [ + "▁Paint", + -12.057848930358887 + ], + [ + "FD", + -12.057849884033203 + ], + [ + "ugg", + -12.058011054992676 + ], + [ + "▁Leon", + -12.058023452758789 + ], + [ + "▁grows", + -12.058135032653809 + ], + [ + "▁pharmacy", + -12.058384895324707 + ], + [ + "▁situat", + -12.0584135055542 + ], + [ + "20,000", + -12.05855941772461 + ], + [ + "▁10,000", + -12.058760643005371 + ], + [ + "▁membre", + -12.058771133422852 + ], + [ + "▁facilement", + -12.058806419372559 + ], + [ + "▁Analytics", + -12.058915138244629 + ], + [ + "▁Marvel", + -12.058930397033691 + ], + [ + "▁survived", + -12.059097290039062 + ], + [ + "▁conviction", + -12.059124946594238 + ], + [ + "▁Produktion", + -12.059260368347168 + ], + [ + "▁professionally", + -12.059293746948242 + ], + [ + "▁contributor", + -12.059486389160156 + ], + [ + "▁Kurs", + -12.059503555297852 + ], + [ + "▁humor", + -12.059549331665039 + ], + [ + "▁cinci", + -12.059609413146973 + ], + [ + "▁Different", + -12.059670448303223 + ], + [ + "▁Verarbeitung", + -12.059800148010254 + ], + [ + "▁inexpensive", + -12.059800148010254 + ], + [ + "▁sortie", + -12.05980110168457 + ], + [ + "▁thankful", + -12.059951782226562 + ], + [ + "▁vacances", + -12.059978485107422 + ], + [ + "▁vergangen", + -12.059979438781738 + ], + [ + "▁wings", + -12.05998420715332 + ], + [ + "▁nano", + -12.06003475189209 + ], + [ + "▁touches", + -12.060088157653809 + ], + [ + "▁Notice", + -12.060348510742188 + ], + [ + "▁reprezinta", + -12.060466766357422 + ], + [ + "▁rewarding", + -12.060555458068848 + ], + [ + "▁Kurz", + -12.060580253601074 + ], + [ + "▁mega", + -12.060611724853516 + ], + [ + "▁secrets", + -12.060646057128906 + ], + [ + "▁vorher", + -12.060667037963867 + ], + [ + "▁crescut", + -12.06074333190918 + ], + [ + "▁coordination", + -12.060754776000977 + ], + [ + "▁dissertation", + -12.060863494873047 + ], + [ + "▁header", + -12.060873985290527 + ], + [ + "existent", + -12.061070442199707 + ], + [ + "thal", + -12.061185836791992 + ], + [ + "▁translate", + -12.061214447021484 + ], + [ + "vertrag", + -12.06124210357666 + ], + [ + "GU", + -12.06126594543457 + ], + [ + "▁Arthur", + -12.061315536499023 + ], + [ + "wahl", + -12.061534881591797 + ], + [ + "▁octobre", + -12.061573028564453 + ], + [ + "▁bother", + -12.06157398223877 + ], + [ + "▁pencil", + -12.061580657958984 + ], + [ + "▁Dyna", + -12.061604499816895 + ], + [ + "▁complimentary", + -12.061651229858398 + ], + [ + "écoute", + -12.061676979064941 + ], + [ + "PB", + -12.061722755432129 + ], + [ + "▁independently", + -12.061759948730469 + ], + [ + "▁targeting", + -12.061840057373047 + ], + [ + "fought", + -12.061944961547852 + ], + [ + "mental", + -12.062112808227539 + ], + [ + "▁Veranstaltung", + -12.062300682067871 + ], + [ + "▁tatsächlich", + -12.062314987182617 + ], + [ + "▁Features", + -12.0625 + ], + [ + "▁1920", + -12.062554359436035 + ], + [ + "▁Domain", + -12.062885284423828 + ], + [ + "▁rally", + -12.062901496887207 + ], + [ + "▁iunie", + -12.063036918640137 + ], + [ + "▁fabrics", + -12.063070297241211 + ], + [ + "▁mint", + -12.063331604003906 + ], + [ + "▁antioxidant", + -12.063347816467285 + ], + [ + "hut", + -12.063432693481445 + ], + [ + "EPA", + -12.063496589660645 + ], + [ + "▁rigid", + -12.063498497009277 + ], + [ + "▁evit", + -12.063549995422363 + ], + [ + "▁personnage", + -12.063977241516113 + ], + [ + "▁garanti", + -12.0640287399292 + ], + [ + "▁Hä", + -12.064042091369629 + ], + [ + "▁Days", + -12.064048767089844 + ], + [ + "boarding", + -12.064050674438477 + ], + [ + "jemand", + -12.064166069030762 + ], + [ + "▁Pos", + -12.064262390136719 + ], + [ + "▁wool", + -12.064288139343262 + ], + [ + "▁boom", + -12.064349174499512 + ], + [ + "▁wichtige", + -12.06447982788086 + ], + [ + "▁emerged", + -12.064517974853516 + ], + [ + "▁smoothly", + -12.064802169799805 + ], + [ + "▁Interview", + -12.064942359924316 + ], + [ + "gemäß", + -12.06505012512207 + ], + [ + "▁suivi", + -12.065064430236816 + ], + [ + "▁missions", + -12.065129280090332 + ], + [ + "▁Kreis", + -12.065328598022461 + ], + [ + "century", + -12.065348625183105 + ], + [ + "▁tuned", + -12.065370559692383 + ], + [ + "isieren", + -12.065407752990723 + ], + [ + "▁Branch", + -12.065427780151367 + ], + [ + "▁Russell", + -12.065483093261719 + ], + [ + "▁**", + -12.065519332885742 + ], + [ + "▁Lehr", + -12.065617561340332 + ], + [ + "▁perspectives", + -12.065690040588379 + ], + [ + "▁handed", + -12.06570816040039 + ], + [ + "▁apporte", + -12.065743446350098 + ], + [ + "unta", + -12.065959930419922 + ], + [ + "▁contemplat", + -12.066255569458008 + ], + [ + "riel", + -12.06633472442627 + ], + [ + "▁freely", + -12.066341400146484 + ], + [ + "▁loyal", + -12.066451072692871 + ], + [ + "▁evolved", + -12.066518783569336 + ], + [ + "▁Cafe", + -12.066548347473145 + ], + [ + "▁assignments", + -12.066598892211914 + ], + [ + "▁Cream", + -12.066718101501465 + ], + [ + "▁Build", + -12.066731452941895 + ], + [ + "▁exams", + -12.066746711730957 + ], + [ + "▁graduation", + -12.066765785217285 + ], + [ + "▁Dining", + -12.066773414611816 + ], + [ + "inne", + -12.06684398651123 + ], + [ + "▁propriu", + -12.067055702209473 + ], + [ + "▁accordingly", + -12.067241668701172 + ], + [ + "▁seniors", + -12.067484855651855 + ], + [ + "▁sisters", + -12.067505836486816 + ], + [ + "formerly", + -12.067658424377441 + ], + [ + "▁fleur", + -12.067702293395996 + ], + [ + "▁alten", + -12.067802429199219 + ], + [ + "▁Gefühl", + -12.06797981262207 + ], + [ + "▁freeze", + -12.068222045898438 + ], + [ + "▁structured", + -12.068312644958496 + ], + [ + "▁reserved", + -12.068367004394531 + ], + [ + "stellt", + -12.068638801574707 + ], + [ + "▁foto", + -12.068668365478516 + ], + [ + "linger", + -12.06871223449707 + ], + [ + "▁profiter", + -12.068737030029297 + ], + [ + "▁trup", + -12.068862915039062 + ], + [ + "▁Hunter", + -12.068974494934082 + ], + [ + "▁widespread", + -12.069050788879395 + ], + [ + "entretien", + -12.069242477416992 + ], + [ + "▁Truck", + -12.06958293914795 + ], + [ + "Can", + -12.069656372070312 + ], + [ + "péri", + -12.06976318359375 + ], + [ + "▁>>", + -12.069926261901855 + ], + [ + "▁trains", + -12.070141792297363 + ], + [ + "▁faca", + -12.070149421691895 + ], + [ + "▁Patienten", + -12.070170402526855 + ], + [ + "▁scor", + -12.070361137390137 + ], + [ + "▁perceived", + -12.070384979248047 + ], + [ + "setzung", + -12.070393562316895 + ], + [ + "▁Robin", + -12.070558547973633 + ], + [ + "▁geboren", + -12.07060718536377 + ], + [ + "lons", + -12.070687294006348 + ], + [ + "inţa", + -12.070836067199707 + ], + [ + "glob", + -12.070887565612793 + ], + [ + "subsequently", + -12.07111930847168 + ], + [ + "▁vet", + -12.071170806884766 + ], + [ + "▁Holland", + -12.071328163146973 + ], + [ + "▁Clinical", + -12.071370124816895 + ], + [ + "▁uncertainty", + -12.071381568908691 + ], + [ + "hohen", + -12.071386337280273 + ], + [ + "uza", + -12.071431159973145 + ], + [ + "▁kleiner", + -12.071518898010254 + ], + [ + "▁substances", + -12.07155704498291 + ], + [ + "ados", + -12.071627616882324 + ], + [ + "wheel", + -12.07178020477295 + ], + [ + "▁cone", + -12.071990966796875 + ], + [ + "▁castig", + -12.072218894958496 + ], + [ + "▁Conditions", + -12.072242736816406 + ], + [ + "minus", + -12.072643280029297 + ], + [ + "▁permits", + -12.07265853881836 + ], + [ + "fond", + -12.072784423828125 + ], + [ + "▁reactions", + -12.07278823852539 + ], + [ + "▁Mario", + -12.072819709777832 + ], + [ + "▁materiale", + -12.07291030883789 + ], + [ + "AH", + -12.072924613952637 + ], + [ + "▁juillet", + -12.073172569274902 + ], + [ + "▁juridic", + -12.073182106018066 + ], + [ + "▁dropping", + -12.073200225830078 + ], + [ + "expérience", + -12.073225021362305 + ], + [ + "▁depot", + -12.073345184326172 + ], + [ + "▁plea", + -12.073490142822266 + ], + [ + "dezvoltarea", + -12.073512077331543 + ], + [ + "▁Independent", + -12.07363224029541 + ], + [ + "▁Homes", + -12.073674201965332 + ], + [ + "▁crust", + -12.073808670043945 + ], + [ + "▁pillow", + -12.073899269104004 + ], + [ + "kreis", + -12.073920249938965 + ], + [ + "▁boiler", + -12.073928833007812 + ], + [ + "latin", + -12.073978424072266 + ], + [ + "▁stet", + -12.074131965637207 + ], + [ + "GH", + -12.074143409729004 + ], + [ + "▁absent", + -12.074334144592285 + ], + [ + "▁Directors", + -12.074501037597656 + ], + [ + "zwischen", + -12.07462215423584 + ], + [ + "▁comprendre", + -12.07465648651123 + ], + [ + "▁25,", + -12.074832916259766 + ], + [ + "▁pharmaceutical", + -12.075145721435547 + ], + [ + "▁placeholder", + -12.075174331665039 + ], + [ + "KI", + -12.075176239013672 + ], + [ + "▁români", + -12.07540225982666 + ], + [ + "▁Dollar", + -12.075509071350098 + ], + [ + "▁Operations", + -12.075525283813477 + ], + [ + "▁Dublin", + -12.075550079345703 + ], + [ + "▁drawings", + -12.0756196975708 + ], + [ + "▁respir", + -12.075769424438477 + ], + [ + "▁haul", + -12.0758056640625 + ], + [ + "Obviously", + -12.075864791870117 + ], + [ + "▁Beat", + -12.075864791870117 + ], + [ + "▁jeans", + -12.07590103149414 + ], + [ + "▁Masters", + -12.075927734375 + ], + [ + "▁bits", + -12.076213836669922 + ], + [ + "poți", + -12.076226234436035 + ], + [ + "▁asigur", + -12.076228141784668 + ], + [ + "▁intampla", + -12.076228141784668 + ], + [ + "▁marc", + -12.076282501220703 + ], + [ + "......", + -12.076404571533203 + ], + [ + "▁districts", + -12.076437950134277 + ], + [ + "cru", + -12.076457023620605 + ], + [ + "nav", + -12.076608657836914 + ], + [ + "huile", + -12.076644897460938 + ], + [ + "▁limitation", + -12.076647758483887 + ], + [ + "boat", + -12.076712608337402 + ], + [ + "IRE", + -12.076720237731934 + ], + [ + "Unis", + -12.07675838470459 + ], + [ + "dated", + -12.0769624710083 + ], + [ + "▁consultants", + -12.07699203491211 + ], + [ + "▁Josh", + -12.077007293701172 + ], + [ + "tanz", + -12.077184677124023 + ], + [ + "launching", + -12.0772066116333 + ], + [ + "▁browsing", + -12.077310562133789 + ], + [ + "▁incerc", + -12.077314376831055 + ], + [ + "▁27,", + -12.077375411987305 + ], + [ + "не", + -12.077398300170898 + ], + [ + "wig", + -12.077415466308594 + ], + [ + "▁spar", + -12.077458381652832 + ], + [ + "▁token", + -12.077547073364258 + ], + [ + "▁09", + -12.077548027038574 + ], + [ + "spa", + -12.07766056060791 + ], + [ + "ometer", + -12.07772159576416 + ], + [ + "▁riders", + -12.077869415283203 + ], + [ + "▁Drop", + -12.077898979187012 + ], + [ + "RN", + -12.078103065490723 + ], + [ + "▁pairs", + -12.07815933227539 + ], + [ + "▁psychology", + -12.078420639038086 + ], + [ + "▁Douglas", + -12.078437805175781 + ], + [ + "▁verwenden", + -12.078516960144043 + ], + [ + "▁(9", + -12.07857894897461 + ], + [ + "▁Rental", + -12.078728675842285 + ], + [ + "▁délai", + -12.078847885131836 + ], + [ + "▁sooner", + -12.078882217407227 + ], + [ + "▁bankruptcy", + -12.079109191894531 + ], + [ + "04.", + -12.079110145568848 + ], + [ + "abend", + -12.079194068908691 + ], + [ + "çon", + -12.079237937927246 + ], + [ + "▁Ple", + -12.079243659973145 + ], + [ + "fug", + -12.079337120056152 + ], + [ + "▁Wohnung", + -12.079410552978516 + ], + [ + "▁Preise", + -12.079424858093262 + ], + [ + "▁Kay", + -12.079427719116211 + ], + [ + "▁notify", + -12.079474449157715 + ], + [ + "▁Brain", + -12.079534530639648 + ], + [ + "▁optical", + -12.079580307006836 + ], + [ + "▁modifications", + -12.079727172851562 + ], + [ + "▁repos", + -12.07999324798584 + ], + [ + "▁worksheet", + -12.0800142288208 + ], + [ + "continu", + -12.08005428314209 + ], + [ + "▁assumed", + -12.08059024810791 + ], + [ + "varying", + -12.080626487731934 + ], + [ + "feier", + -12.080643653869629 + ], + [ + "▁Freedom", + -12.080717086791992 + ], + [ + "▁Inhalte", + -12.080740928649902 + ], + [ + "▁observations", + -12.080755233764648 + ], + [ + "▁Gruppe", + -12.080791473388672 + ], + [ + "▁Cyber", + -12.080883979797363 + ], + [ + "hort", + -12.080889701843262 + ], + [ + "▁langue", + -12.080915451049805 + ], + [ + "führen", + -12.08110523223877 + ], + [ + "ganze", + -12.081254005432129 + ], + [ + "▁forte", + -12.081327438354492 + ], + [ + "▁Stefan", + -12.081376075744629 + ], + [ + "▁Jetzt", + -12.081463813781738 + ], + [ + "mehr", + -12.081489562988281 + ], + [ + "trip", + -12.081549644470215 + ], + [ + "▁poem", + -12.081583976745605 + ], + [ + "▁practitioners", + -12.081720352172852 + ], + [ + "▁connector", + -12.08177661895752 + ], + [ + "ECT", + -12.081794738769531 + ], + [ + "▁inseamna", + -12.081820487976074 + ], + [ + "addressing", + -12.081867218017578 + ], + [ + "▁beliebt", + -12.081908226013184 + ], + [ + "▁Mama", + -12.082002639770508 + ], + [ + "▁fade", + -12.08204460144043 + ], + [ + "messen", + -12.08205509185791 + ], + [ + "▁Visa", + -12.082080841064453 + ], + [ + "▁Meta", + -12.082154273986816 + ], + [ + "lene", + -12.082188606262207 + ], + [ + "▁remembered", + -12.082334518432617 + ], + [ + "/3", + -12.082337379455566 + ], + [ + "apte", + -12.082347869873047 + ], + [ + "▁uncomfortable", + -12.082364082336426 + ], + [ + "▁romance", + -12.08253002166748 + ], + [ + "▁réalis", + -12.082601547241211 + ], + [ + "▁Vincent", + -12.082706451416016 + ], + [ + "▁ABC", + -12.08275318145752 + ], + [ + "▁handicap", + -12.082756042480469 + ], + [ + "▁Shin", + -12.082801818847656 + ], + [ + "▁Hunde", + -12.082847595214844 + ], + [ + "▁Ach", + -12.083131790161133 + ], + [ + "▁Questions", + -12.083136558532715 + ], + [ + "▁particles", + -12.083226203918457 + ], + [ + "usch", + -12.083230018615723 + ], + [ + "▁SUV", + -12.083279609680176 + ], + [ + "▁Tous", + -12.083301544189453 + ], + [ + "▁empower", + -12.08336067199707 + ], + [ + "▁Yi", + -12.083446502685547 + ], + [ + "▁LinkedIn", + -12.083453178405762 + ], + [ + "▁Profile", + -12.083507537841797 + ], + [ + "▁surround", + -12.083553314208984 + ], + [ + "▁wh", + -12.083560943603516 + ], + [ + "▁Weiter", + -12.083577156066895 + ], + [ + "▁Weight", + -12.083672523498535 + ], + [ + "▁creatures", + -12.083807945251465 + ], + [ + "Especially", + -12.08381462097168 + ], + [ + "▁repede", + -12.08383560180664 + ], + [ + "▁albums", + -12.083885192871094 + ], + [ + "▁compatibil", + -12.0839204788208 + ], + [ + "▁Interesse", + -12.083929061889648 + ], + [ + "abili", + -12.084062576293945 + ], + [ + "▁roast", + -12.084310531616211 + ], + [ + "▁unii", + -12.084310531616211 + ], + [ + "▁Glad", + -12.084421157836914 + ], + [ + "▁enthusiasm", + -12.084539413452148 + ], + [ + "▁whisk", + -12.084547996520996 + ], + [ + "▁freezer", + -12.084712982177734 + ], + [ + "▁stolen", + -12.084715843200684 + ], + [ + "▁neighbour", + -12.084883689880371 + ], + [ + "▁sake", + -12.084967613220215 + ], + [ + "▁Effect", + -12.0850191116333 + ], + [ + "▁fighter", + -12.085044860839844 + ], + [ + "▁tranquil", + -12.085084915161133 + ], + [ + "▁organizer", + -12.085199356079102 + ], + [ + "pixel", + -12.085306167602539 + ], + [ + "▁Guest", + -12.085338592529297 + ], + [ + "▁Philipp", + -12.085369110107422 + ], + [ + "kunft", + -12.085382461547852 + ], + [ + "▁Meer", + -12.085409164428711 + ], + [ + "▁inviting", + -12.085432052612305 + ], + [ + "gänge", + -12.085450172424316 + ], + [ + "▁Position", + -12.085627555847168 + ], + [ + "giving", + -12.085693359375 + ], + [ + "▁marble", + -12.085807800292969 + ], + [ + "▁neg", + -12.085813522338867 + ], + [ + "▁Haar", + -12.085914611816406 + ], + [ + "Ein", + -12.086039543151855 + ], + [ + "▁buses", + -12.086187362670898 + ], + [ + "▁Lodge", + -12.086188316345215 + ], + [ + "soare", + -12.086319923400879 + ], + [ + "▁Barn", + -12.086409568786621 + ], + [ + "▁captain", + -12.086527824401855 + ], + [ + "▁Fix", + -12.08657169342041 + ], + [ + "ulate", + -12.086629867553711 + ], + [ + "ență", + -12.086709022521973 + ], + [ + "▁finances", + -12.086770057678223 + ], + [ + "▁VIP", + -12.086800575256348 + ], + [ + "▁Adams", + -12.086801528930664 + ], + [ + "▁spécialisé", + -12.086960792541504 + ], + [ + "▁fortunate", + -12.087236404418945 + ], + [ + "ility", + -12.087345123291016 + ], + [ + "▁democracy", + -12.08749771118164 + ], + [ + "shu", + -12.087580680847168 + ], + [ + "▁consiste", + -12.087624549865723 + ], + [ + "▁tort", + -12.087692260742188 + ], + [ + "▁branding", + -12.087793350219727 + ], + [ + "▁porch", + -12.08780288696289 + ], + [ + "UNI", + -12.087867736816406 + ], + [ + "▁placut", + -12.087915420532227 + ], + [ + "▁coupled", + -12.088058471679688 + ], + [ + "▁ministre", + -12.088187217712402 + ], + [ + "▁minerals", + -12.088335037231445 + ], + [ + "▁safer", + -12.088335990905762 + ], + [ + "▁outlets", + -12.088438034057617 + ], + [ + "▁caution", + -12.08864688873291 + ], + [ + "▁lightly", + -12.0886869430542 + ], + [ + "▁utilizator", + -12.088700294494629 + ], + [ + "▁Pala", + -12.088959693908691 + ], + [ + "▁doll", + -12.088961601257324 + ], + [ + "(1)", + -12.089065551757812 + ], + [ + "chol", + -12.089120864868164 + ], + [ + "▁Left", + -12.08919620513916 + ], + [ + "▁roulant", + -12.089277267456055 + ], + [ + "▁propune", + -12.089301109313965 + ], + [ + "▁Cred", + -12.089339256286621 + ], + [ + "▁negotiations", + -12.089362144470215 + ], + [ + "amba", + -12.089393615722656 + ], + [ + "▁grasp", + -12.089420318603516 + ], + [ + "▁Amsterdam", + -12.089451789855957 + ], + [ + "▁Zweck", + -12.08945369720459 + ], + [ + "▁conven", + -12.089563369750977 + ], + [ + "▁organizing", + -12.089574813842773 + ], + [ + "section", + -12.089618682861328 + ], + [ + "▁endeavor", + -12.089634895324707 + ], + [ + "▁basics", + -12.089722633361816 + ], + [ + "jud", + -12.089874267578125 + ], + [ + "▁yarn", + -12.090049743652344 + ], + [ + "▁shout", + -12.09009075164795 + ], + [ + "fällt", + -12.090285301208496 + ], + [ + "▁dragoste", + -12.09054946899414 + ], + [ + "▁Rein", + -12.090594291687012 + ], + [ + "Cal", + -12.090688705444336 + ], + [ + "▁deaths", + -12.090729713439941 + ], + [ + "▁24,", + -12.0907564163208 + ], + [ + "▁măr", + -12.090773582458496 + ], + [ + "server", + -12.090825080871582 + ], + [ + "▁explic", + -12.09085464477539 + ], + [ + "▁sufer", + -12.090903282165527 + ], + [ + "▁lucrări", + -12.091097831726074 + ], + [ + "▁Disease", + -12.091126441955566 + ], + [ + "▁prescribed", + -12.091194152832031 + ], + [ + "prozess", + -12.091285705566406 + ], + [ + "▁dessin", + -12.091343879699707 + ], + [ + "▁refuge", + -12.091473579406738 + ], + [ + "▁cope", + -12.091631889343262 + ], + [ + "pole", + -12.09196949005127 + ], + [ + "▁vacant", + -12.091984748840332 + ], + [ + "▁sezon", + -12.092035293579102 + ], + [ + "▁Carbon", + -12.092227935791016 + ], + [ + "▁goût", + -12.092233657836914 + ], + [ + "Ste", + -12.092320442199707 + ], + [ + "▁surroundings", + -12.092754364013672 + ], + [ + "definite", + -12.09284496307373 + ], + [ + "▁adaptation", + -12.093358993530273 + ], + [ + "cteur", + -12.0933837890625 + ], + [ + "System", + -12.093442916870117 + ], + [ + "▁Burg", + -12.093550682067871 + ], + [ + "▁retention", + -12.093579292297363 + ], + [ + "examen", + -12.093618392944336 + ], + [ + "▁adjustments", + -12.093668937683105 + ], + [ + "nies", + -12.094213485717773 + ], + [ + "▁RSS", + -12.094215393066406 + ], + [ + "▁Umwelt", + -12.094259262084961 + ], + [ + "▁strengths", + -12.094326972961426 + ], + [ + "loom", + -12.094401359558105 + ], + [ + "▁pics", + -12.094404220581055 + ], + [ + "phase", + -12.09443187713623 + ], + [ + "▁Poland", + -12.094472885131836 + ], + [ + "▁practicing", + -12.094558715820312 + ], + [ + "monetary", + -12.094756126403809 + ], + [ + "▁embodiment", + -12.094756126403809 + ], + [ + "▁jocuri", + -12.094846725463867 + ], + [ + "▁impreuna", + -12.094939231872559 + ], + [ + "▁Lyon", + -12.094985961914062 + ], + [ + "keeping", + -12.095157623291016 + ], + [ + "▁Starting", + -12.095202445983887 + ], + [ + "▁începe", + -12.095357894897461 + ], + [ + "▁clay", + -12.095440864562988 + ], + [ + "bildung", + -12.095444679260254 + ], + [ + "Technologie", + -12.095513343811035 + ], + [ + "toxic", + -12.095624923706055 + ], + [ + "▁gasit", + -12.095819473266602 + ], + [ + "rott", + -12.095870018005371 + ], + [ + "brook", + -12.095935821533203 + ], + [ + "▁wann", + -12.096029281616211 + ], + [ + "▁lined", + -12.09610366821289 + ], + [ + "▁Chelsea", + -12.096223831176758 + ], + [ + "▁Orlando", + -12.096224784851074 + ], + [ + "▁Otherwise", + -12.096267700195312 + ], + [ + "▁debit", + -12.096273422241211 + ], + [ + "▁entsprechend", + -12.09648323059082 + ], + [ + "nism", + -12.09654426574707 + ], + [ + "issen", + -12.09664535522461 + ], + [ + "▁rendez", + -12.096646308898926 + ], + [ + "▁processus", + -12.096745491027832 + ], + [ + "mbi", + -12.096890449523926 + ], + [ + "▁Graduate", + -12.096960067749023 + ], + [ + "▁cozy", + -12.097119331359863 + ], + [ + "▁Freunde", + -12.097320556640625 + ], + [ + "▁teme", + -12.097389221191406 + ], + [ + "▁bias", + -12.097548484802246 + ], + [ + "102", + -12.09756851196289 + ], + [ + "terrorism", + -12.09770679473877 + ], + [ + "threatening", + -12.097756385803223 + ], + [ + "ни", + -12.097776412963867 + ], + [ + "▁Sonntag", + -12.098062515258789 + ], + [ + "▁efect", + -12.098116874694824 + ], + [ + "▁prayers", + -12.098134994506836 + ], + [ + "▁backpack", + -12.09841537475586 + ], + [ + "?)", + -12.098489761352539 + ], + [ + "▁searches", + -12.098788261413574 + ], + [ + "ouverture", + -12.09880256652832 + ], + [ + "▁sustained", + -12.098865509033203 + ], + [ + "hawk", + -12.098869323730469 + ], + [ + "messe", + -12.098958969116211 + ], + [ + "▁prototype", + -12.098989486694336 + ], + [ + "▁stră", + -12.09903335571289 + ], + [ + "▁Neo", + -12.099040985107422 + ], + [ + "▁29,", + -12.099109649658203 + ], + [ + "izo", + -12.099306106567383 + ], + [ + "▁Anton", + -12.099333763122559 + ], + [ + "SIS", + -12.099564552307129 + ], + [ + "pendant", + -12.099617958068848 + ], + [ + "▁passive", + -12.099813461303711 + ], + [ + "▁Aaron", + -12.099824905395508 + ], + [ + "▁Karen", + -12.099831581115723 + ], + [ + "▁Bildung", + -12.09994888305664 + ], + [ + "ario", + -12.099949836730957 + ], + [ + "▁regulator", + -12.100006103515625 + ], + [ + "gruppe", + -12.100032806396484 + ], + [ + "stepped", + -12.100053787231445 + ], + [ + "▁interventions", + -12.10014533996582 + ], + [ + "▁rounds", + -12.100149154663086 + ], + [ + "▁Khan", + -12.10020637512207 + ], + [ + "▁railway", + -12.10028076171875 + ], + [ + "▁souvenir", + -12.100296974182129 + ], + [ + "▁Plans", + -12.100336074829102 + ], + [ + "aille", + -12.100372314453125 + ], + [ + "▁billing", + -12.100473403930664 + ], + [ + "▁Spiele", + -12.100541114807129 + ], + [ + "▁supermarket", + -12.100556373596191 + ], + [ + "▁flows", + -12.100625991821289 + ], + [ + "▁PayPal", + -12.100641250610352 + ], + [ + "▁tribe", + -12.10067081451416 + ], + [ + "anni", + -12.100780487060547 + ], + [ + "▁rides", + -12.100934982299805 + ], + [ + "▁Orleans", + -12.101009368896484 + ], + [ + "▁evaluated", + -12.101021766662598 + ], + [ + "founder", + -12.10106372833252 + ], + [ + "▁Feld", + -12.101212501525879 + ], + [ + "▁altele", + -12.10122299194336 + ], + [ + "▁thermo", + -12.101290702819824 + ], + [ + "ugh", + -12.101330757141113 + ], + [ + "▁adus", + -12.101375579833984 + ], + [ + "▁Taiwan", + -12.101396560668945 + ], + [ + "▁clause", + -12.101409912109375 + ], + [ + "oxi", + -12.101465225219727 + ], + [ + "alcool", + -12.101495742797852 + ], + [ + "▁Noi", + -12.101531982421875 + ], + [ + "rub", + -12.101540565490723 + ], + [ + "▁dosar", + -12.101582527160645 + ], + [ + "▁Nelson", + -12.101751327514648 + ], + [ + "fassung", + -12.102316856384277 + ], + [ + "▁Kill", + -12.102489471435547 + ], + [ + "▁Standards", + -12.102490425109863 + ], + [ + "▁upward", + -12.102653503417969 + ], + [ + "▁Coloring", + -12.102664947509766 + ], + [ + "Designed", + -12.102754592895508 + ], + [ + "▁Nou", + -12.10281753540039 + ], + [ + "▁borrow", + -12.102940559387207 + ], + [ + "▁Poll", + -12.10321044921875 + ], + [ + "▁antibiotic", + -12.103277206420898 + ], + [ + "▁fabrication", + -12.103388786315918 + ], + [ + "quo", + -12.103432655334473 + ], + [ + "▁crimes", + -12.103464126586914 + ], + [ + "▁nahe", + -12.103484153747559 + ], + [ + "▁aplicat", + -12.103565216064453 + ], + [ + "OST", + -12.1035737991333 + ], + [ + "▁Beijing", + -12.103599548339844 + ], + [ + "fight", + -12.103612899780273 + ], + [ + "▁lodge", + -12.103612899780273 + ], + [ + "dreh", + -12.103922843933105 + ], + [ + "▁harness", + -12.104036331176758 + ], + [ + "▁noiembrie", + -12.104151725769043 + ], + [ + "ounded", + -12.104161262512207 + ], + [ + "▁Imp", + -12.1041841506958 + ], + [ + "▁nächste", + -12.104275703430176 + ], + [ + "funktion", + -12.104476928710938 + ], + [ + "exploitation", + -12.104569435119629 + ], + [ + "▁Ready", + -12.10457706451416 + ], + [ + "▁Plate", + -12.104598999023438 + ], + [ + "▁octombrie", + -12.104706764221191 + ], + [ + "▁considerat", + -12.104982376098633 + ], + [ + "▁Xbox", + -12.105067253112793 + ], + [ + "mind", + -12.105107307434082 + ], + [ + "▁Lind", + -12.105111122131348 + ], + [ + "runde", + -12.105352401733398 + ], + [ + "mination", + -12.105374336242676 + ], + [ + "▁memori", + -12.105377197265625 + ], + [ + "▁cere", + -12.105389595031738 + ], + [ + "barkeit", + -12.105517387390137 + ], + [ + "▁găsi", + -12.105761528015137 + ], + [ + "2.1", + -12.105863571166992 + ], + [ + "▁Finding", + -12.105891227722168 + ], + [ + "▁static", + -12.106405258178711 + ], + [ + "court", + -12.106439590454102 + ], + [ + "▁Gem", + -12.106489181518555 + ], + [ + "▁pièce", + -12.106494903564453 + ], + [ + "▁reel", + -12.10651969909668 + ], + [ + "▁manuscript", + -12.106560707092285 + ], + [ + "▁complications", + -12.106578826904297 + ], + [ + "▁controlling", + -12.106585502624512 + ], + [ + "▁favour", + -12.106738090515137 + ], + [ + "▁advancement", + -12.106739044189453 + ], + [ + "▁Radi", + -12.106870651245117 + ], + [ + "▁faites", + -12.107076644897461 + ], + [ + "▁ordin", + -12.107131958007812 + ], + [ + "sorted", + -12.107152938842773 + ], + [ + "▁1982", + -12.10715389251709 + ], + [ + "▁brutal", + -12.107154846191406 + ], + [ + "▁Guy", + -12.107226371765137 + ], + [ + "▁accomplishment", + -12.107248306274414 + ], + [ + "▁wer", + -12.107329368591309 + ], + [ + "▁withdraw", + -12.107460975646973 + ], + [ + "abilitate", + -12.1075439453125 + ], + [ + "▁NBA", + -12.107625961303711 + ], + [ + "▁Benefit", + -12.107675552368164 + ], + [ + "▁divide", + -12.107824325561523 + ], + [ + "induced", + -12.107913970947266 + ], + [ + "▁văzut", + -12.108049392700195 + ], + [ + "▁peel", + -12.10807991027832 + ], + [ + "▁joints", + -12.108160972595215 + ], + [ + "▁enthalten", + -12.108301162719727 + ], + [ + "▁spy", + -12.108397483825684 + ], + [ + "▁occasional", + -12.108437538146973 + ], + [ + "warm", + -12.108514785766602 + ], + [ + "ême", + -12.108542442321777 + ], + [ + "▁Betriebs", + -12.108551979064941 + ], + [ + "▁Ioan", + -12.1087064743042 + ], + [ + "▁balloon", + -12.108809471130371 + ], + [ + "▁leap", + -12.108869552612305 + ], + [ + "pelled", + -12.109000205993652 + ], + [ + "▁realise", + -12.109073638916016 + ], + [ + "▁Retail", + -12.109118461608887 + ], + [ + "▁Farben", + -12.109151840209961 + ], + [ + "▁Kennedy", + -12.10916519165039 + ], + [ + "▁Firma", + -12.109196662902832 + ], + [ + "▁tineri", + -12.10934066772461 + ], + [ + "tub", + -12.109354019165039 + ], + [ + "PORT", + -12.109381675720215 + ], + [ + "▁stiff", + -12.109416007995605 + ], + [ + "▁notable", + -12.109476089477539 + ], + [ + "tler", + -12.109498023986816 + ], + [ + "▁utile", + -12.10958480834961 + ], + [ + "▁jouer", + -12.109674453735352 + ], + [ + "▁Primary", + -12.109735488891602 + ], + [ + "▁retailer", + -12.109764099121094 + ], + [ + "▁jederzeit", + -12.109808921813965 + ], + [ + "▁amend", + -12.109817504882812 + ], + [ + "▁sagte", + -12.109845161437988 + ], + [ + "atch", + -12.10995864868164 + ], + [ + "ution", + -12.110008239746094 + ], + [ + "once", + -12.110018730163574 + ], + [ + "ended", + -12.1100435256958 + ], + [ + "▁literary", + -12.11013126373291 + ], + [ + "▁wrist", + -12.110281944274902 + ], + [ + "vii", + -12.11036205291748 + ], + [ + "scriere", + -12.110367774963379 + ], + [ + "▁compassion", + -12.110443115234375 + ], + [ + "▁Milan", + -12.110474586486816 + ], + [ + "▁Dach", + -12.110490798950195 + ], + [ + "▁problèmes", + -12.110630989074707 + ], + [ + "▁Pré", + -12.110687255859375 + ], + [ + "▁Feder", + -12.110759735107422 + ], + [ + "Dr", + -12.110814094543457 + ], + [ + "Spr", + -12.110908508300781 + ], + [ + "▁né", + -12.110969543457031 + ], + [ + "François", + -12.111023902893066 + ], + [ + "▁Shu", + -12.111115455627441 + ], + [ + "▁poison", + -12.111154556274414 + ], + [ + "zier", + -12.111176490783691 + ], + [ + "▁attain", + -12.11124038696289 + ], + [ + "▁switching", + -12.111310958862305 + ], + [ + "▁vibration", + -12.111348152160645 + ], + [ + "▁Tablet", + -12.11136531829834 + ], + [ + "▁Lern", + -12.11148452758789 + ], + [ + "offrir", + -12.111660957336426 + ], + [ + "123", + -12.11168098449707 + ], + [ + "cheapest", + -12.11173152923584 + ], + [ + "▁numărul", + -12.111764907836914 + ], + [ + "break", + -12.11180305480957 + ], + [ + "cyto", + -12.111836433410645 + ], + [ + "▁Mississippi", + -12.111955642700195 + ], + [ + "▁dragon", + -12.11207389831543 + ], + [ + "fir", + -12.112176895141602 + ], + [ + "▁fête", + -12.112180709838867 + ], + [ + "▁Wait", + -12.112350463867188 + ], + [ + "buy", + -12.112359046936035 + ], + [ + "având", + -12.112391471862793 + ], + [ + "▁Scar", + -12.112517356872559 + ], + [ + "▁Hund", + -12.112586975097656 + ], + [ + "bug", + -12.112807273864746 + ], + [ + "▁classique", + -12.112811088562012 + ], + [ + "▁tenant", + -12.112860679626465 + ], + [ + "▁Walt", + -12.11296272277832 + ], + [ + "▁timber", + -12.11296272277832 + ], + [ + "inscription", + -12.11300277709961 + ], + [ + "BD", + -12.113016128540039 + ], + [ + "▁Commissioner", + -12.113018989562988 + ], + [ + "▁casinos", + -12.11306095123291 + ], + [ + "▁prochain", + -12.113168716430664 + ], + [ + "▁rustic", + -12.11349868774414 + ], + [ + "▁Kent", + -12.113607406616211 + ], + [ + "▁Deci", + -12.113761901855469 + ], + [ + "ли", + -12.113855361938477 + ], + [ + "▁crossed", + -12.113861083984375 + ], + [ + "▁delightful", + -12.113869667053223 + ], + [ + "▁metres", + -12.113872528076172 + ], + [ + "▁scandal", + -12.113906860351562 + ], + [ + "▁activitate", + -12.113986015319824 + ], + [ + "▁nimeni", + -12.114009857177734 + ], + [ + "ease", + -12.11402416229248 + ], + [ + "▁revenues", + -12.1140775680542 + ], + [ + "▁partially", + -12.114187240600586 + ], + [ + "AE", + -12.114263534545898 + ], + [ + "nique", + -12.114410400390625 + ], + [ + "▁fixtures", + -12.114426612854004 + ], + [ + "▁pupils", + -12.114694595336914 + ], + [ + "Lib", + -12.11471176147461 + ], + [ + "analyse", + -12.114739418029785 + ], + [ + "▁Oracle", + -12.114767074584961 + ], + [ + "troph", + -12.114859580993652 + ], + [ + "▁detected", + -12.114879608154297 + ], + [ + "▁servant", + -12.11507797241211 + ], + [ + "▁badly", + -12.115121841430664 + ], + [ + "comparing", + -12.115150451660156 + ], + [ + "abs", + -12.115238189697266 + ], + [ + "▁fotografi", + -12.115443229675293 + ], + [ + "▁Million", + -12.115541458129883 + ], + [ + "▁Gordon", + -12.11557388305664 + ], + [ + "▁Smok", + -12.115592002868652 + ], + [ + "▁Essay", + -12.11565113067627 + ], + [ + "eptic", + -12.115665435791016 + ], + [ + "▁Transportation", + -12.115728378295898 + ], + [ + "/2019", + -12.115767478942871 + ], + [ + "▁alignment", + -12.115778923034668 + ], + [ + "▁laut", + -12.11578369140625 + ], + [ + "stände", + -12.115791320800781 + ], + [ + "▁concerts", + -12.115811347961426 + ], + [ + "▁weekends", + -12.11589241027832 + ], + [ + "▁obstacles", + -12.115941047668457 + ], + [ + "wür", + -12.115964889526367 + ], + [ + "▁Fisher", + -12.116219520568848 + ], + [ + "▁supervisor", + -12.116242408752441 + ], + [ + "▁traders", + -12.116262435913086 + ], + [ + "▁scary", + -12.116484642028809 + ], + [ + "▁Grove", + -12.116538047790527 + ], + [ + "▁expose", + -12.116583824157715 + ], + [ + "▁enemies", + -12.116630554199219 + ], + [ + "▁Lux", + -12.11667537689209 + ], + [ + "▁Berufs", + -12.11672306060791 + ], + [ + "▁Sheet", + -12.116780281066895 + ], + [ + "▁Natürlich", + -12.116819381713867 + ], + [ + "▁examined", + -12.116886138916016 + ], + [ + "pursuing", + -12.116920471191406 + ], + [ + "▁pools", + -12.116923332214355 + ], + [ + "▁Thompson", + -12.117005348205566 + ], + [ + "▁SAP", + -12.117010116577148 + ], + [ + "claiming", + -12.117053985595703 + ], + [ + "buried", + -12.117055892944336 + ], + [ + "assurance", + -12.117138862609863 + ], + [ + "▁sandwich", + -12.117195129394531 + ], + [ + "uber", + -12.117310523986816 + ], + [ + "▁laisse", + -12.117321968078613 + ], + [ + "peak", + -12.117348670959473 + ], + [ + "spring", + -12.1173677444458 + ], + [ + "▁august", + -12.117369651794434 + ], + [ + "▁benötigt", + -12.11738109588623 + ], + [ + "▁achievements", + -12.117470741271973 + ], + [ + "coala", + -12.117478370666504 + ], + [ + "▁scr", + -12.117842674255371 + ], + [ + "gesagt", + -12.118122100830078 + ], + [ + "▁envelope", + -12.118141174316406 + ], + [ + "▁mapping", + -12.118169784545898 + ], + [ + "▁Suche", + -12.118298530578613 + ], + [ + "first", + -12.118329048156738 + ], + [ + "▁Quin", + -12.118447303771973 + ], + [ + "räu", + -12.118561744689941 + ], + [ + "▁răs", + -12.118583679199219 + ], + [ + "chemical", + -12.118597984313965 + ], + [ + "dad", + -12.118927955627441 + ], + [ + "formation", + -12.118983268737793 + ], + [ + "▁cushion", + -12.119026184082031 + ], + [ + "▁Maß", + -12.119046211242676 + ], + [ + "07.", + -12.119184494018555 + ], + [ + "▁perioadă", + -12.119257926940918 + ], + [ + "▁Wunsch", + -12.11925983428955 + ], + [ + "▁joi", + -12.119423866271973 + ], + [ + "▁$25", + -12.119482040405273 + ], + [ + "▁uploaded", + -12.11952018737793 + ], + [ + "▁hobby", + -12.119633674621582 + ], + [ + "▁septembrie", + -12.119633674621582 + ], + [ + "▁Dimension", + -12.119634628295898 + ], + [ + "▁domeniu", + -12.119661331176758 + ], + [ + "▁Tourism", + -12.119747161865234 + ], + [ + "▁fais", + -12.119800567626953 + ], + [ + "aches", + -12.119919776916504 + ], + [ + "neck", + -12.119969367980957 + ], + [ + "▁Chip", + -12.119982719421387 + ], + [ + "▁Tisch", + -12.1199951171875 + ], + [ + "▁Pai", + -12.120006561279297 + ], + [ + "▁Butter", + -12.120083808898926 + ], + [ + "▁altor", + -12.120133399963379 + ], + [ + "cultural", + -12.120182991027832 + ], + [ + "▁bases", + -12.12028980255127 + ], + [ + "▁Christopher", + -12.120396614074707 + ], + [ + "Kindle", + -12.120401382446289 + ], + [ + "▁bathrooms", + -12.12049388885498 + ], + [ + "▁civilian", + -12.12052059173584 + ], + [ + "▁Architecture", + -12.12058162689209 + ], + [ + "heiten", + -12.120641708374023 + ], + [ + "otte", + -12.120763778686523 + ], + [ + "ри", + -12.120784759521484 + ], + [ + "wash", + -12.120792388916016 + ], + [ + "▁evenimente", + -12.12086296081543 + ], + [ + "lade", + -12.121132850646973 + ], + [ + "▁ermöglicht", + -12.121140480041504 + ], + [ + "Port", + -12.121149063110352 + ], + [ + "▁Horn", + -12.12119197845459 + ], + [ + "▁Housing", + -12.121232032775879 + ], + [ + "▁Profit", + -12.121304512023926 + ], + [ + "▁stressed", + -12.12136459350586 + ], + [ + "▁70%", + -12.121431350708008 + ], + [ + "laying", + -12.121458053588867 + ], + [ + "▁specialize", + -12.121490478515625 + ], + [ + "▁Published", + -12.121519088745117 + ], + [ + "corp", + -12.121554374694824 + ], + [ + "▁revision", + -12.121611595153809 + ], + [ + "▁sail", + -12.121804237365723 + ], + [ + "courtesy", + -12.121909141540527 + ], + [ + "tax", + -12.1219482421875 + ], + [ + "▁perfekt", + -12.122018814086914 + ], + [ + "▁Risk", + -12.122088432312012 + ], + [ + "▁chaleur", + -12.122129440307617 + ], + [ + "ych", + -12.122132301330566 + ], + [ + "▁spine", + -12.12218189239502 + ], + [ + "▁holders", + -12.122264862060547 + ], + [ + "▁Speaking", + -12.122271537780762 + ], + [ + "▁Bernard", + -12.122400283813477 + ], + [ + "incarc", + -12.122532844543457 + ], + [ + "shalb", + -12.122639656066895 + ], + [ + "Potrivit", + -12.12264633178711 + ], + [ + "arising", + -12.122654914855957 + ], + [ + "▁kingdom", + -12.122665405273438 + ], + [ + "▁potato", + -12.122766494750977 + ], + [ + "▁promoted", + -12.122814178466797 + ], + [ + "▁judges", + -12.1228609085083 + ], + [ + "▁naturelle", + -12.122992515563965 + ], + [ + "▁Kindern", + -12.123022079467773 + ], + [ + "schicht", + -12.123047828674316 + ], + [ + "▁Drag", + -12.123066902160645 + ], + [ + "atta", + -12.123132705688477 + ], + [ + "soient", + -12.123249053955078 + ], + [ + "INS", + -12.12336540222168 + ], + [ + "▁legislative", + -12.123642921447754 + ], + [ + "▁teens", + -12.123785018920898 + ], + [ + "▁Fotos", + -12.123842239379883 + ], + [ + "▁illustrations", + -12.12392520904541 + ], + [ + "möglichkeiten", + -12.12415599822998 + ], + [ + "Votre", + -12.124194145202637 + ], + [ + "▁tarif", + -12.124195098876953 + ], + [ + "cli", + -12.124488830566406 + ], + [ + "▁landlord", + -12.12473201751709 + ], + [ + "cine", + -12.124743461608887 + ], + [ + "▁bot", + -12.124798774719238 + ], + [ + "enhancing", + -12.12491226196289 + ], + [ + "▁März", + -12.12491226196289 + ], + [ + "▁succès", + -12.125106811523438 + ], + [ + "▁disclose", + -12.125120162963867 + ], + [ + "▁Geräte", + -12.125321388244629 + ], + [ + "▁Magn", + -12.125422477722168 + ], + [ + "dessous", + -12.12580680847168 + ], + [ + "▁miracle", + -12.125862121582031 + ], + [ + "▁travailler", + -12.125933647155762 + ], + [ + "▁herb", + -12.125945091247559 + ], + [ + "-01", + -12.126049041748047 + ], + [ + "litre", + -12.126104354858398 + ], + [ + "▁tău", + -12.126120567321777 + ], + [ + "ACC", + -12.126190185546875 + ], + [ + "▁diminu", + -12.126275062561035 + ], + [ + "itzer", + -12.126317024230957 + ], + [ + "▁personenbezogen", + -12.126395225524902 + ], + [ + "▁Pure", + -12.126436233520508 + ], + [ + "▁influences", + -12.12668228149414 + ], + [ + "ană", + -12.126765251159668 + ], + [ + "▁proposer", + -12.126856803894043 + ], + [ + "▁longest", + -12.12692642211914 + ], + [ + "euses", + -12.127080917358398 + ], + [ + "/1", + -12.127487182617188 + ], + [ + "hafte", + -12.127716064453125 + ], + [ + "▁Dich", + -12.127761840820312 + ], + [ + "▁candle", + -12.128026962280273 + ], + [ + "ouche", + -12.128191947937012 + ], + [ + "installation", + -12.128241539001465 + ], + [ + "▁Includes", + -12.128280639648438 + ], + [ + "▁entfernt", + -12.12831974029541 + ], + [ + "traf", + -12.128499031066895 + ], + [ + "▁None", + -12.128508567810059 + ], + [ + "▁produc", + -12.128510475158691 + ], + [ + "held", + -12.128519058227539 + ], + [ + "graphic", + -12.128531455993652 + ], + [ + "▁demographic", + -12.128584861755371 + ], + [ + "ingham", + -12.1287841796875 + ], + [ + "schul", + -12.128812789916992 + ], + [ + "▁sneak", + -12.128843307495117 + ], + [ + "laub", + -12.128889083862305 + ], + [ + "▁thickness", + -12.12911605834961 + ], + [ + "▁killer", + -12.129297256469727 + ], + [ + "▁entsprechende", + -12.129344940185547 + ], + [ + "▁theft", + -12.129396438598633 + ], + [ + "▁Jerusalem", + -12.129457473754883 + ], + [ + "Adapt", + -12.129495620727539 + ], + [ + "▁updating", + -12.129497528076172 + ], + [ + "tete", + -12.12954330444336 + ], + [ + "▁warming", + -12.129701614379883 + ], + [ + "anlage", + -12.129739761352539 + ], + [ + "▁lenders", + -12.129814147949219 + ], + [ + "mobile", + -12.130008697509766 + ], + [ + "▁Package", + -12.130080223083496 + ], + [ + "▁Volume", + -12.130152702331543 + ], + [ + "---", + -12.130167007446289 + ], + [ + "▁Others", + -12.130173683166504 + ], + [ + "content", + -12.130188941955566 + ], + [ + "tement", + -12.130253791809082 + ], + [ + "bildet", + -12.13027572631836 + ], + [ + "▁washer", + -12.13053035736084 + ], + [ + "▁freelance", + -12.130623817443848 + ], + [ + "▁fein", + -12.130753517150879 + ], + [ + "▁catering", + -12.130851745605469 + ], + [ + "▁warmth", + -12.130911827087402 + ], + [ + "▁Month", + -12.131103515625 + ], + [ + "▁Federation", + -12.131134033203125 + ], + [ + "▁editorial", + -12.13121223449707 + ], + [ + "▁Shopping", + -12.131241798400879 + ], + [ + "▁efort", + -12.131296157836914 + ], + [ + "▁damp", + -12.131314277648926 + ], + [ + "▁declined", + -12.131332397460938 + ], + [ + "▁1978", + -12.13135051727295 + ], + [ + "6,000", + -12.131355285644531 + ], + [ + "location", + -12.131551742553711 + ], + [ + "▁blogger", + -12.131572723388672 + ], + [ + "▁goodness", + -12.131826400756836 + ], + [ + "▁Purchase", + -12.132119178771973 + ], + [ + "▁suspended", + -12.132159233093262 + ], + [ + "▁assessed", + -12.132201194763184 + ], + [ + "rada", + -12.132286071777344 + ], + [ + "▁Lac", + -12.132291793823242 + ], + [ + "▁angeboten", + -12.13235092163086 + ], + [ + "▁Wetter", + -12.132370948791504 + ], + [ + "ores", + -12.13243579864502 + ], + [ + "▁fourni", + -12.132476806640625 + ], + [ + "▁retire", + -12.13269329071045 + ], + [ + "▁Baptist", + -12.132741928100586 + ], + [ + "▁Saison", + -12.13277530670166 + ], + [ + "Bar", + -12.132794380187988 + ], + [ + "▁dossier", + -12.132979393005371 + ], + [ + "brow", + -12.133044242858887 + ], + [ + "▁Kaffee", + -12.133071899414062 + ], + [ + "-25", + -12.133463859558105 + ], + [ + "▁festivals", + -12.133599281311035 + ], + [ + "▁sellers", + -12.133716583251953 + ], + [ + "Ü", + -12.13393783569336 + ], + [ + "▁publisher", + -12.133960723876953 + ], + [ + "▁Designs", + -12.133970260620117 + ], + [ + "▁putut", + -12.13400936126709 + ], + [ + "▁Built", + -12.134417533874512 + ], + [ + "▁recreational", + -12.134476661682129 + ], + [ + "▁european", + -12.134514808654785 + ], + [ + "▁binary", + -12.134631156921387 + ], + [ + "▁Nieder", + -12.134764671325684 + ], + [ + "taking", + -12.1348237991333 + ], + [ + "▁Lots", + -12.13494873046875 + ], + [ + "▁recognised", + -12.135031700134277 + ], + [ + "ssant", + -12.135063171386719 + ], + [ + "ITE", + -12.135271072387695 + ], + [ + "oom", + -12.135298728942871 + ], + [ + "▁Kre", + -12.135310173034668 + ], + [ + "▁pipes", + -12.135631561279297 + ], + [ + "▁hinge", + -12.135653495788574 + ], + [ + "▁enterprises", + -12.135664939880371 + ], + [ + "▁texts", + -12.13583755493164 + ], + [ + "Organiz", + -12.136080741882324 + ], + [ + "▁suivre", + -12.136124610900879 + ], + [ + "noc", + -12.136157989501953 + ], + [ + "fair", + -12.136194229125977 + ], + [ + "▁darkness", + -12.136305809020996 + ], + [ + "▁Whi", + -12.13631534576416 + ], + [ + "natural", + -12.136321067810059 + ], + [ + "Bas", + -12.136422157287598 + ], + [ + "▁tribute", + -12.136443138122559 + ], + [ + "▁Naţional", + -12.136573791503906 + ], + [ + "hara", + -12.136622428894043 + ], + [ + "▁catégorie", + -12.136697769165039 + ], + [ + "▁Schedule", + -12.136698722839355 + ], + [ + "▁lernen", + -12.13671875 + ], + [ + "▁Plastic", + -12.136725425720215 + ], + [ + "▁giveaway", + -12.13675594329834 + ], + [ + "▁Ideen", + -12.136906623840332 + ], + [ + "▁circa", + -12.13718032836914 + ], + [ + "▁lice", + -12.137242317199707 + ], + [ + "▁Meinung", + -12.137264251708984 + ], + [ + "▁beside", + -12.137566566467285 + ], + [ + "▁vazut", + -12.137673377990723 + ], + [ + "strom", + -12.137749671936035 + ], + [ + "boro", + -12.137775421142578 + ], + [ + "▁Soon", + -12.137796401977539 + ], + [ + "dozens", + -12.137896537780762 + ], + [ + "▁Arena", + -12.137943267822266 + ], + [ + "▁viața", + -12.137989044189453 + ], + [ + "▁Impact", + -12.138082504272461 + ], + [ + "current", + -12.138106346130371 + ], + [ + "FM", + -12.138117790222168 + ], + [ + "▁coil", + -12.138657569885254 + ], + [ + "gold", + -12.138679504394531 + ], + [ + "▁spate", + -12.138679504394531 + ], + [ + "1.4", + -12.13875675201416 + ], + [ + "solution", + -12.138769149780273 + ], + [ + "▁Wayne", + -12.138835906982422 + ], + [ + "▁queen", + -12.138898849487305 + ], + [ + "illion", + -12.139022827148438 + ], + [ + "greifen", + -12.139127731323242 + ], + [ + "▁Bil", + -12.139174461364746 + ], + [ + "rote", + -12.139185905456543 + ], + [ + "END", + -12.13918685913086 + ], + [ + "äl", + -12.139206886291504 + ], + [ + "▁reçu", + -12.139378547668457 + ], + [ + "flower", + -12.139495849609375 + ], + [ + "▁draws", + -12.139519691467285 + ], + [ + "plant", + -12.139605522155762 + ], + [ + "2010", + -12.139702796936035 + ], + [ + "▁oper", + -12.139762878417969 + ], + [ + "▁conserve", + -12.139777183532715 + ], + [ + "▁sprinkle", + -12.13984203338623 + ], + [ + "mode", + -12.139924049377441 + ], + [ + "▁lifting", + -12.139941215515137 + ], + [ + "▁Institution", + -12.139951705932617 + ], + [ + "Când", + -12.14001750946045 + ], + [ + "Aus", + -12.140048027038574 + ], + [ + "▁fears", + -12.140054702758789 + ], + [ + "▁appointments", + -12.140079498291016 + ], + [ + "oarele", + -12.140162467956543 + ], + [ + "▁duck", + -12.140193939208984 + ], + [ + "▁stadium", + -12.140213012695312 + ], + [ + "▁vezi", + -12.140227317810059 + ], + [ + "▁lap", + -12.140315055847168 + ], + [ + "▁proceeds", + -12.140382766723633 + ], + [ + "geschlossen", + -12.140412330627441 + ], + [ + "▁tren", + -12.140478134155273 + ], + [ + "VS", + -12.140536308288574 + ], + [ + "▁vais", + -12.140800476074219 + ], + [ + "ținut", + -12.140859603881836 + ], + [ + "▁Concert", + -12.140928268432617 + ], + [ + "▁planting", + -12.141008377075195 + ], + [ + "▁honour", + -12.141069412231445 + ], + [ + "▁gras", + -12.141071319580078 + ], + [ + "woo", + -12.141092300415039 + ], + [ + "▁Hero", + -12.141282081604004 + ], + [ + "▁stimulate", + -12.14134407043457 + ], + [ + "▁überhaupt", + -12.141426086425781 + ], + [ + "▁bounce", + -12.14148235321045 + ], + [ + "oodle", + -12.14151382446289 + ], + [ + "▁packs", + -12.141576766967773 + ], + [ + "▁Poker", + -12.14158821105957 + ], + [ + "▁acea", + -12.141684532165527 + ], + [ + "▁parish", + -12.141754150390625 + ], + [ + "-24", + -12.141766548156738 + ], + [ + "▁iTunes", + -12.141874313354492 + ], + [ + "▁lumière", + -12.141948699951172 + ], + [ + "third", + -12.142024993896484 + ], + [ + "▁dynamics", + -12.142038345336914 + ], + [ + "Unless", + -12.142162322998047 + ], + [ + "▁immense", + -12.142416000366211 + ], + [ + "▁Sec", + -12.142781257629395 + ], + [ + "lois", + -12.143009185791016 + ], + [ + "époque", + -12.14302921295166 + ], + [ + "NB", + -12.143139839172363 + ], + [ + "written", + -12.143210411071777 + ], + [ + "▁logement", + -12.143226623535156 + ], + [ + "submitting", + -12.143295288085938 + ], + [ + "▁Quand", + -12.14331340789795 + ], + [ + "▁foi", + -12.143322944641113 + ], + [ + "▁catalogue", + -12.143351554870605 + ], + [ + "nova", + -12.14343547821045 + ], + [ + "▁prezentat", + -12.143527030944824 + ], + [ + "▁tart", + -12.143877983093262 + ], + [ + "те", + -12.143912315368652 + ], + [ + "hack", + -12.143916130065918 + ], + [ + "▁Politic", + -12.144003868103027 + ], + [ + "▁18,", + -12.144048690795898 + ], + [ + "▁ignored", + -12.144145965576172 + ], + [ + "▁spoon", + -12.144245147705078 + ], + [ + "▁Joy", + -12.144280433654785 + ], + [ + "▁reside", + -12.144482612609863 + ], + [ + ".99", + -12.144488334655762 + ], + [ + "lytic", + -12.144625663757324 + ], + [ + "▁bogat", + -12.144643783569336 + ], + [ + "▁nurses", + -12.144845008850098 + ], + [ + "▁funcţi", + -12.145029067993164 + ], + [ + "▁produselor", + -12.145038604736328 + ], + [ + "▁Associates", + -12.145069122314453 + ], + [ + "Est", + -12.14511489868164 + ], + [ + "▁peanut", + -12.145187377929688 + ], + [ + "▁résultat", + -12.145257949829102 + ], + [ + "08.", + -12.145424842834473 + ], + [ + "▁Astro", + -12.145439147949219 + ], + [ + "▁personnelle", + -12.145527839660645 + ], + [ + "320", + -12.145668983459473 + ], + [ + "▁Grab", + -12.145748138427734 + ], + [ + "éco", + -12.145801544189453 + ], + [ + "▁clasic", + -12.145857810974121 + ], + [ + "offre", + -12.14588451385498 + ], + [ + "▁idee", + -12.14589786529541 + ], + [ + "▁cheat", + -12.146259307861328 + ], + [ + "▁Flug", + -12.146286964416504 + ], + [ + "▁1500", + -12.146413803100586 + ], + [ + "▁kurze", + -12.14643383026123 + ], + [ + "With", + -12.146512985229492 + ], + [ + "▁Half", + -12.146575927734375 + ], + [ + "▁disciplines", + -12.146642684936523 + ], + [ + "sorption", + -12.14669132232666 + ], + [ + "▁greutate", + -12.146927833557129 + ], + [ + "mä", + -12.146940231323242 + ], + [ + "▁Literatur", + -12.146956443786621 + ], + [ + "3/", + -12.147016525268555 + ], + [ + "4.0", + -12.147095680236816 + ], + [ + "▁déco", + -12.147119522094727 + ], + [ + "▁Fuß", + -12.147233963012695 + ], + [ + "▁Deutsche", + -12.147289276123047 + ], + [ + "▁abundance", + -12.14746379852295 + ], + [ + "▁Luther", + -12.14750862121582 + ], + [ + "▁nutritional", + -12.147562980651855 + ], + [ + "▁Jude", + -12.147687911987305 + ], + [ + "AY", + -12.14786148071289 + ], + [ + "▁chore", + -12.147916793823242 + ], + [ + "▁Kro", + -12.148006439208984 + ], + [ + "▁alin", + -12.14801025390625 + ], + [ + "lösung", + -12.148030281066895 + ], + [ + "▁geworden", + -12.148238182067871 + ], + [ + "▁sociaux", + -12.148255348205566 + ], + [ + "▁Spark", + -12.1486177444458 + ], + [ + "▁phenomenon", + -12.148624420166016 + ], + [ + "ICA", + -12.148805618286133 + ], + [ + "▁Ran", + -12.148836135864258 + ], + [ + "▁Schwarz", + -12.148959159851074 + ], + [ + "▁1983", + -12.148985862731934 + ], + [ + "ет", + -12.148990631103516 + ], + [ + "möglich", + -12.149084091186523 + ], + [ + "vocation", + -12.149087905883789 + ], + [ + "▁Organic", + -12.14926815032959 + ], + [ + "Oh", + -12.149408340454102 + ], + [ + "▁blockchain", + -12.149422645568848 + ], + [ + "▁Bă", + -12.149515151977539 + ], + [ + "▁Bass", + -12.14953899383545 + ], + [ + "enie", + -12.149687767028809 + ], + [ + "▁rêve", + -12.149807929992676 + ], + [ + "▁Rap", + -12.149986267089844 + ], + [ + "▁democratic", + -12.150044441223145 + ], + [ + "▁Chart", + -12.150167465209961 + ], + [ + "▁Voi", + -12.150189399719238 + ], + [ + "process", + -12.150263786315918 + ], + [ + "▁preach", + -12.150389671325684 + ], + [ + "tient", + -12.150456428527832 + ], + [ + "▁Train", + -12.150468826293945 + ], + [ + "▁Reihe", + -12.150472640991211 + ], + [ + "help", + -12.150514602661133 + ], + [ + "1.6", + -12.150547981262207 + ], + [ + "▁cazuri", + -12.150547981262207 + ], + [ + "▁chap", + -12.150559425354004 + ], + [ + "aktiv", + -12.150632858276367 + ], + [ + "▁2006.", + -12.15079116821289 + ], + [ + "iene", + -12.150849342346191 + ], + [ + "▁BBQ", + -12.150969505310059 + ], + [ + "dauer", + -12.151028633117676 + ], + [ + "2).", + -12.151226997375488 + ], + [ + "▁Monat", + -12.151277542114258 + ], + [ + "Generally", + -12.151285171508789 + ], + [ + "▁bracelet", + -12.151336669921875 + ], + [ + "▁cartoon", + -12.151349067687988 + ], + [ + "▁pui", + -12.151488304138184 + ], + [ + "temp", + -12.151506423950195 + ], + [ + "▁Particip", + -12.151555061340332 + ], + [ + "▁dumneavoastră", + -12.151725769042969 + ], + [ + "▁Gin", + -12.151824951171875 + ], + [ + "iunile", + -12.151829719543457 + ], + [ + "reise", + -12.151849746704102 + ], + [ + "▁einzige", + -12.15189266204834 + ], + [ + "ANCE", + -12.15192985534668 + ], + [ + "▁humble", + -12.151951789855957 + ], + [ + "claim", + -12.152093887329102 + ], + [ + "LV", + -12.152143478393555 + ], + [ + "▁confiance", + -12.152270317077637 + ], + [ + "▁Trading", + -12.152535438537598 + ], + [ + "▁Fabric", + -12.152770042419434 + ], + [ + "▁Duke", + -12.152851104736328 + ], + [ + "spieler", + -12.152937889099121 + ], + [ + "▁reject", + -12.152987480163574 + ], + [ + "▁crise", + -12.153170585632324 + ], + [ + "▁borders", + -12.153196334838867 + ], + [ + "▁Vehicle", + -12.153279304504395 + ], + [ + "zeiten", + -12.153481483459473 + ], + [ + "enrolled", + -12.153514862060547 + ], + [ + "venue", + -12.153555870056152 + ], + [ + "▁forests", + -12.153564453125 + ], + [ + "vascular", + -12.15358829498291 + ], + [ + "▁phrases", + -12.153661727905273 + ], + [ + "▁receptor", + -12.15368366241455 + ], + [ + "schied", + -12.153687477111816 + ], + [ + "▁soirée", + -12.153785705566406 + ], + [ + "▁partener", + -12.153987884521484 + ], + [ + "▁Jobs", + -12.15417194366455 + ], + [ + "▁segments", + -12.154216766357422 + ], + [ + "▁violate", + -12.154438972473145 + ], + [ + "▁viable", + -12.154500007629395 + ], + [ + "▁encountered", + -12.154533386230469 + ], + [ + "▁travelers", + -12.154552459716797 + ], + [ + "▁împ", + -12.154679298400879 + ], + [ + "▁convince", + -12.154693603515625 + ], + [ + "▁mailing", + -12.154693603515625 + ], + [ + "▁Zahn", + -12.154698371887207 + ], + [ + "attend", + -12.15477466583252 + ], + [ + "▁eBay", + -12.154836654663086 + ], + [ + "▁Emergency", + -12.154844284057617 + ], + [ + "wirtschaft", + -12.154882431030273 + ], + [ + "▁scholars", + -12.154947280883789 + ], + [ + "▁considerably", + -12.155118942260742 + ], + [ + "▁combo", + -12.1551513671875 + ], + [ + "hiver", + -12.155198097229004 + ], + [ + "▁mysterious", + -12.15522575378418 + ], + [ + "▁Degree", + -12.155234336853027 + ], + [ + "▁fate", + -12.155242919921875 + ], + [ + "▁transplant", + -12.155281066894531 + ], + [ + "▁samedi", + -12.155400276184082 + ], + [ + "unit", + -12.155519485473633 + ], + [ + "▁moyenne", + -12.155611991882324 + ], + [ + "▁Liverpool", + -12.155614852905273 + ], + [ + "▁Champions", + -12.155728340148926 + ], + [ + "zzle", + -12.155824661254883 + ], + [ + "▁arena", + -12.156228065490723 + ], + [ + "▁Pipe", + -12.15633487701416 + ], + [ + "▁waterproof", + -12.156356811523438 + ], + [ + "▁eternal", + -12.156463623046875 + ], + [ + "Whenever", + -12.156503677368164 + ], + [ + "▁Hop", + -12.156535148620605 + ], + [ + "▁Betrieb", + -12.156816482543945 + ], + [ + "gne", + -12.15692138671875 + ], + [ + "▁spe", + -12.156975746154785 + ], + [ + "▁Corner", + -12.157078742980957 + ], + [ + "▁devenir", + -12.157118797302246 + ], + [ + "ambiance", + -12.157144546508789 + ], + [ + "▁Graham", + -12.157200813293457 + ], + [ + "▁desires", + -12.157289505004883 + ], + [ + "▁Applications", + -12.157291412353516 + ], + [ + "▁genutzt", + -12.157477378845215 + ], + [ + "tek", + -12.157612800598145 + ], + [ + "▁Career", + -12.157641410827637 + ], + [ + "▁staple", + -12.157695770263672 + ], + [ + "▁Dodge", + -12.157817840576172 + ], + [ + "▁strictly", + -12.157889366149902 + ], + [ + "▁Gruppen", + -12.157952308654785 + ], + [ + "▁Finanz", + -12.157981872558594 + ], + [ + "▁sporting", + -12.15809440612793 + ], + [ + "▁Wieder", + -12.158127784729004 + ], + [ + "anny", + -12.158208847045898 + ], + [ + "▁bucura", + -12.158233642578125 + ], + [ + "▁Pest", + -12.15824031829834 + ], + [ + "▁circles", + -12.158246994018555 + ], + [ + "▁richtige", + -12.158309936523438 + ], + [ + "▁cycles", + -12.158379554748535 + ], + [ + "static", + -12.15845012664795 + ], + [ + "lasting", + -12.15847396850586 + ], + [ + "▁calcium", + -12.158549308776855 + ], + [ + "▁digest", + -12.158697128295898 + ], + [ + "Enfin", + -12.158865928649902 + ], + [ + "▁stressful", + -12.158951759338379 + ], + [ + "▁schemes", + -12.158981323242188 + ], + [ + "▁décision", + -12.158987045288086 + ], + [ + "▁comercial", + -12.15907096862793 + ], + [ + "işti", + -12.159098625183105 + ], + [ + "▁Comic", + -12.15910816192627 + ], + [ + "▁extensions", + -12.159140586853027 + ], + [ + "▁Sieg", + -12.159168243408203 + ], + [ + "▁pine", + -12.15919017791748 + ], + [ + "ieß", + -12.159272193908691 + ], + [ + "▁Images", + -12.159427642822266 + ], + [ + "▁Mensch", + -12.159668922424316 + ], + [ + "Pap", + -12.159773826599121 + ], + [ + "▁crops", + -12.15994930267334 + ], + [ + "▁sheep", + -12.159996032714844 + ], + [ + "▁istoric", + -12.160001754760742 + ], + [ + "▁Assessment", + -12.160035133361816 + ], + [ + "▁mounting", + -12.16035270690918 + ], + [ + "wirken", + -12.160469055175781 + ], + [ + "▁augment", + -12.160469055175781 + ], + [ + "▁picioare", + -12.160542488098145 + ], + [ + "organisme", + -12.160590171813965 + ], + [ + "▁Monitor", + -12.16060733795166 + ], + [ + "▁celles", + -12.160642623901367 + ], + [ + "▁Maison", + -12.160709381103516 + ], + [ + "notified", + -12.160783767700195 + ], + [ + "▁chew", + -12.160831451416016 + ], + [ + "▁bleu", + -12.16083812713623 + ], + [ + "dow", + -12.160844802856445 + ], + [ + "▁Grav", + -12.16097354888916 + ], + [ + "▁curtains", + -12.160975456237793 + ], + [ + "▁Campus", + -12.161076545715332 + ], + [ + "▁controversial", + -12.161087036132812 + ], + [ + "▁soutien", + -12.161189079284668 + ], + [ + "▁Dell", + -12.1613187789917 + ], + [ + "▁instrumental", + -12.161431312561035 + ], + [ + "▁Nan", + -12.161514282226562 + ], + [ + "▁prom", + -12.161520957946777 + ], + [ + "▁spatial", + -12.161523818969727 + ], + [ + "Similarly", + -12.161558151245117 + ], + [ + "▁Gala", + -12.161601066589355 + ], + [ + "ultimul", + -12.16162109375 + ], + [ + "▁Vom", + -12.161761283874512 + ], + [ + "▁Foot", + -12.161784172058105 + ], + [ + "bike", + -12.1618013381958 + ], + [ + "▁acids", + -12.161979675292969 + ], + [ + "entend", + -12.162002563476562 + ], + [ + "ivă", + -12.162040710449219 + ], + [ + "▁Weitere", + -12.162124633789062 + ], + [ + "▁vitamins", + -12.162131309509277 + ], + [ + "▁enhancement", + -12.16234016418457 + ], + [ + "▁Cruise", + -12.162367820739746 + ], + [ + "assemble", + -12.162385940551758 + ], + [ + "▁spécifique", + -12.162459373474121 + ], + [ + "affaires", + -12.16261100769043 + ], + [ + "▁indispensable", + -12.1626558303833 + ], + [ + "▁logistics", + -12.16283130645752 + ], + [ + "▁manche", + -12.162919044494629 + ], + [ + "▁dealt", + -12.16297435760498 + ], + [ + "▁favorable", + -12.163036346435547 + ], + [ + "▁unwanted", + -12.163047790527344 + ], + [ + "▁handmade", + -12.163065910339355 + ], + [ + "▁Regi", + -12.163102149963379 + ], + [ + "safe", + -12.163134574890137 + ], + [ + "persoanele", + -12.163202285766602 + ], + [ + "▁destinat", + -12.163252830505371 + ], + [ + "▁Maxi", + -12.163299560546875 + ], + [ + "▁salmon", + -12.163454055786133 + ], + [ + "wag", + -12.163578033447266 + ], + [ + "210", + -12.163769721984863 + ], + [ + "▁warned", + -12.163865089416504 + ], + [ + "läuft", + -12.16386604309082 + ], + [ + "agging", + -12.163931846618652 + ], + [ + "▁responsabil", + -12.16398811340332 + ], + [ + "▁presse", + -12.164271354675293 + ], + [ + "▁amis", + -12.164305686950684 + ], + [ + "▁rolls", + -12.164377212524414 + ], + [ + "control", + -12.164405822753906 + ], + [ + "▁Manufacturer", + -12.164422988891602 + ], + [ + "hnen", + -12.164449691772461 + ], + [ + "▁buget", + -12.164546012878418 + ], + [ + "OW", + -12.16467571258545 + ], + [ + "etro", + -12.164745330810547 + ], + [ + "▁communauté", + -12.164837837219238 + ], + [ + "unci", + -12.164944648742676 + ], + [ + "▁Chine", + -12.164952278137207 + ], + [ + "combines", + -12.16501235961914 + ], + [ + "▁learners", + -12.165046691894531 + ], + [ + "STE", + -12.165055274963379 + ], + [ + "ckel", + -12.16511344909668 + ], + [ + "Service", + -12.165169715881348 + ], + [ + "▁veröffentlicht", + -12.165209770202637 + ], + [ + "besides", + -12.165266036987305 + ], + [ + "getragen", + -12.165349960327148 + ], + [ + "▁opponent", + -12.165521621704102 + ], + [ + "▁volum", + -12.165533065795898 + ], + [ + "▁confusing", + -12.165802001953125 + ], + [ + "invasive", + -12.165813446044922 + ], + [ + "▁conseils", + -12.165881156921387 + ], + [ + "▁vibe", + -12.165928840637207 + ], + [ + "View", + -12.166062355041504 + ], + [ + "oară", + -12.166086196899414 + ], + [ + "Link", + -12.166261672973633 + ], + [ + "▁holy", + -12.166261672973633 + ], + [ + "▁crema", + -12.16629409790039 + ], + [ + "▁Michelle", + -12.166303634643555 + ], + [ + "▁Wien", + -12.166383743286133 + ], + [ + "▁undertake", + -12.166404724121094 + ], + [ + "▁Photograph", + -12.166421890258789 + ], + [ + "humain", + -12.16645336151123 + ], + [ + "▁Hang", + -12.166545867919922 + ], + [ + "designed", + -12.16657829284668 + ], + [ + "▁analyses", + -12.166614532470703 + ], + [ + "▁compose", + -12.166653633117676 + ], + [ + "▁substantially", + -12.166765213012695 + ], + [ + "▁marking", + -12.166772842407227 + ], + [ + "▁campagne", + -12.166826248168945 + ], + [ + "▁$15", + -12.166828155517578 + ], + [ + "pharma", + -12.166972160339355 + ], + [ + "▁playoff", + -12.1669921875 + ], + [ + "▁momentum", + -12.167091369628906 + ], + [ + "Temp", + -12.16714096069336 + ], + [ + "▁vinegar", + -12.167143821716309 + ], + [ + "▁descriptions", + -12.167581558227539 + ], + [ + "christ", + -12.167656898498535 + ], + [ + "wore", + -12.16773509979248 + ], + [ + "ITY", + -12.167768478393555 + ], + [ + "stehen", + -12.167771339416504 + ], + [ + "▁insulation", + -12.1677827835083 + ], + [ + "grav", + -12.167842864990234 + ], + [ + "2.2", + -12.167887687683105 + ], + [ + "▁Explore", + -12.168028831481934 + ], + [ + "▁dye", + -12.168127059936523 + ], + [ + "stair", + -12.168155670166016 + ], + [ + "artisan", + -12.168207168579102 + ], + [ + "▁zoom", + -12.168285369873047 + ], + [ + "▁turkey", + -12.168573379516602 + ], + [ + "▁locksmith", + -12.168577194213867 + ], + [ + "▁sewing", + -12.168610572814941 + ], + [ + "▁modeling", + -12.168627738952637 + ], + [ + "lied", + -12.16870403289795 + ], + [ + "adel", + -12.168773651123047 + ], + [ + "▁Going", + -12.168785095214844 + ], + [ + "WH", + -12.168798446655273 + ], + [ + "▁deserves", + -12.168919563293457 + ], + [ + "▁arriving", + -12.168960571289062 + ], + [ + "OFF", + -12.169039726257324 + ], + [ + "torului", + -12.169109344482422 + ], + [ + "ucked", + -12.16921615600586 + ], + [ + "▁approached", + -12.169351577758789 + ], + [ + "▁élevé", + -12.169354438781738 + ], + [ + "▁quotidien", + -12.169416427612305 + ], + [ + "▁derzeit", + -12.16942024230957 + ], + [ + "nutzt", + -12.169656753540039 + ], + [ + "science", + -12.169729232788086 + ], + [ + "▁Emma", + -12.169841766357422 + ], + [ + "▁builds", + -12.169879913330078 + ], + [ + "▁Logo", + -12.169949531555176 + ], + [ + "▁clouds", + -12.170061111450195 + ], + [ + "inflammatory", + -12.170141220092773 + ], + [ + "țiuni", + -12.170199394226074 + ], + [ + "▁Cisco", + -12.17025089263916 + ], + [ + "▁würden", + -12.170254707336426 + ], + [ + "▁Shaw", + -12.170256614685059 + ], + [ + "▁Ell", + -12.170266151428223 + ], + [ + "avance", + -12.1703519821167 + ], + [ + "anglais", + -12.170365333557129 + ], + [ + "weil", + -12.170368194580078 + ], + [ + "▁singura", + -12.170464515686035 + ], + [ + "ACK", + -12.170489311218262 + ], + [ + "likewise", + -12.170522689819336 + ], + [ + "ographie", + -12.170646667480469 + ], + [ + "liegen", + -12.17088508605957 + ], + [ + "▁Crow", + -12.170964241027832 + ], + [ + "▁unic", + -12.171187400817871 + ], + [ + "▁Ale", + -12.171241760253906 + ], + [ + "▁păstr", + -12.17125129699707 + ], + [ + "▁informal", + -12.171337127685547 + ], + [ + "650", + -12.17136287689209 + ], + [ + "Benz", + -12.171489715576172 + ], + [ + "▁antenna", + -12.171540260314941 + ], + [ + "▁pagini", + -12.171552658081055 + ], + [ + "▁lansat", + -12.171561241149902 + ], + [ + "▁Fans", + -12.171576499938965 + ], + [ + "taine", + -12.171822547912598 + ], + [ + "JO", + -12.171853065490723 + ], + [ + "▁Tips", + -12.172091484069824 + ], + [ + "cir", + -12.172130584716797 + ], + [ + "nou", + -12.172384262084961 + ], + [ + "▁planted", + -12.17241382598877 + ], + [ + "▁steering", + -12.172423362731934 + ], + [ + "▁Waren", + -12.172475814819336 + ], + [ + "▁clearance", + -12.172515869140625 + ], + [ + "▁Moscow", + -12.172516822814941 + ], + [ + "▁Faith", + -12.172534942626953 + ], + [ + "▁Pizza", + -12.172572135925293 + ], + [ + "▁Tank", + -12.17273998260498 + ], + [ + "QUE", + -12.172783851623535 + ], + [ + "▁studii", + -12.172804832458496 + ], + [ + "éné", + -12.172829627990723 + ], + [ + "▁guerre", + -12.1728515625 + ], + [ + "▁celebr", + -12.173083305358887 + ], + [ + "▁Factory", + -12.173111915588379 + ], + [ + "▁Browse", + -12.173198699951172 + ], + [ + "▁Request", + -12.17323112487793 + ], + [ + "▁taxpayer", + -12.173311233520508 + ], + [ + "▁assert", + -12.173562049865723 + ], + [ + "unternehmen", + -12.173588752746582 + ], + [ + "▁Ergebnis", + -12.173687934875488 + ], + [ + "▁Antwort", + -12.173727035522461 + ], + [ + "▁Photography", + -12.173808097839355 + ], + [ + "▁plă", + -12.173866271972656 + ], + [ + "IME", + -12.173982620239258 + ], + [ + "▁prochaine", + -12.174074172973633 + ], + [ + "ajouter", + -12.174103736877441 + ], + [ + "▁buffet", + -12.174227714538574 + ], + [ + "▁pixels", + -12.174239158630371 + ], + [ + "▁pledge", + -12.174250602722168 + ], + [ + "▁Inhalt", + -12.17435359954834 + ], + [ + "▁chase", + -12.174384117126465 + ], + [ + "Flow", + -12.174493789672852 + ], + [ + "▁melodi", + -12.174872398376465 + ], + [ + "▁Abu", + -12.174991607666016 + ], + [ + "▁1979", + -12.175042152404785 + ], + [ + "▁Photos", + -12.175042152404785 + ], + [ + "▁qualifications", + -12.175148963928223 + ], + [ + "▁zis", + -12.175213813781738 + ], + [ + "IAL", + -12.175354957580566 + ], + [ + "▁lender", + -12.175390243530273 + ], + [ + "▁indiferent", + -12.175494194030762 + ], + [ + "▁behaviors", + -12.175506591796875 + ], + [ + "▁flowing", + -12.175531387329102 + ], + [ + "▁zweite", + -12.1756010055542 + ], + [ + "abl", + -12.175765037536621 + ], + [ + "Schw", + -12.176004409790039 + ], + [ + "opi", + -12.176030158996582 + ], + [ + "ggi", + -12.176164627075195 + ], + [ + "▁depart", + -12.176314353942871 + ], + [ + "▁garde", + -12.17640209197998 + ], + [ + "▁tuition", + -12.176490783691406 + ], + [ + "fälle", + -12.17650032043457 + ], + [ + "▁determina", + -12.17652702331543 + ], + [ + "▁spice", + -12.176627159118652 + ], + [ + "▁petites", + -12.176777839660645 + ], + [ + "kot", + -12.176973342895508 + ], + [ + "▁intersection", + -12.177242279052734 + ], + [ + "hak", + -12.177248001098633 + ], + [ + "▁autumn", + -12.177284240722656 + ], + [ + "▁verbunden", + -12.177284240722656 + ], + [ + "▁ferme", + -12.177287101745605 + ], + [ + "PN", + -12.17733097076416 + ], + [ + "▁insurer", + -12.177390098571777 + ], + [ + "arten", + -12.177401542663574 + ], + [ + "▁Turkish", + -12.177715301513672 + ], + [ + "▁shoulders", + -12.177732467651367 + ], + [ + "=>", + -12.177742004394531 + ], + [ + "▁Nike", + -12.177760124206543 + ], + [ + "uire", + -12.177763938903809 + ], + [ + "▁Chile", + -12.177811622619629 + ], + [ + "jon", + -12.177842140197754 + ], + [ + "▁fragrance", + -12.177884101867676 + ], + [ + "▁bean", + -12.177908897399902 + ], + [ + "ips", + -12.178108215332031 + ], + [ + "assuming", + -12.178191184997559 + ], + [ + "liens", + -12.178215026855469 + ], + [ + "tocmai", + -12.178267478942871 + ], + [ + "▁60%", + -12.178301811218262 + ], + [ + "ipped", + -12.178384780883789 + ], + [ + "DIS", + -12.178473472595215 + ], + [ + "▁predicted", + -12.178537368774414 + ], + [ + "▁Picture", + -12.178555488586426 + ], + [ + "Bahn", + -12.178796768188477 + ], + [ + "104", + -12.178854942321777 + ], + [ + "tended", + -12.178958892822266 + ], + [ + "▁approve", + -12.179031372070312 + ], + [ + "▁magasin", + -12.17908000946045 + ], + [ + "▁mindset", + -12.179208755493164 + ], + [ + "rase", + -12.179363250732422 + ], + [ + "grand", + -12.179469108581543 + ], + [ + "▁Principal", + -12.17947769165039 + ], + [ + "▁informații", + -12.17959976196289 + ], + [ + "▁legătur", + -12.179628372192383 + ], + [ + "▁Farb", + -12.179692268371582 + ], + [ + "▁Dieu", + -12.179710388183594 + ], + [ + "▁alliance", + -12.180378913879395 + ], + [ + "weiligen", + -12.180397987365723 + ], + [ + "▁Câ", + -12.18048095703125 + ], + [ + "▁counseling", + -12.180521011352539 + ], + [ + "▁traveled", + -12.180533409118652 + ], + [ + "▁translated", + -12.180558204650879 + ], + [ + "▁carne", + -12.180679321289062 + ], + [ + "aked", + -12.180707931518555 + ], + [ + "▁LCD", + -12.180868148803711 + ], + [ + "▁Folge", + -12.180909156799316 + ], + [ + "▁Erfahrungen", + -12.18093204498291 + ], + [ + "▁1981", + -12.18106460571289 + ], + [ + "▁răspuns", + -12.181075096130371 + ], + [ + "itori", + -12.18117618560791 + ], + [ + "▁elementary", + -12.181200981140137 + ], + [ + "▁vorbei", + -12.18127727508545 + ], + [ + "▁cargo", + -12.181361198425293 + ], + [ + "disciplinary", + -12.18140983581543 + ], + [ + "WR", + -12.181492805480957 + ], + [ + "▁counterpart", + -12.18162727355957 + ], + [ + "family", + -12.181641578674316 + ], + [ + "▁viață", + -12.181644439697266 + ], + [ + "▁Definition", + -12.18167495727539 + ], + [ + "▁Cow", + -12.18171501159668 + ], + [ + "fällig", + -12.182003021240234 + ], + [ + "▁Sicht", + -12.182025909423828 + ], + [ + "▁mum", + -12.182145118713379 + ], + [ + "▁Mediterranean", + -12.182275772094727 + ], + [ + "nev", + -12.182278633117676 + ], + [ + "bü", + -12.182293891906738 + ], + [ + "▁slave", + -12.182293891906738 + ], + [ + "schnitt", + -12.18233871459961 + ], + [ + "▁firme", + -12.182430267333984 + ], + [ + "▁spill", + -12.182454109191895 + ], + [ + "▁wages", + -12.182592391967773 + ], + [ + "▁refine", + -12.182615280151367 + ], + [ + "▁upgraded", + -12.182632446289062 + ], + [ + "▁gospel", + -12.182698249816895 + ], + [ + "▁quartier", + -12.182744979858398 + ], + [ + "▁#2", + -12.182772636413574 + ], + [ + "▁Situation", + -12.18298625946045 + ], + [ + "▁suggesting", + -12.183075904846191 + ], + [ + "▁acne", + -12.183113098144531 + ], + [ + "▁Murray", + -12.183337211608887 + ], + [ + "▁Ian", + -12.183469772338867 + ], + [ + "hören", + -12.183489799499512 + ], + [ + "bia", + -12.183603286743164 + ], + [ + "▁Bewegung", + -12.183684349060059 + ], + [ + "▁abzu", + -12.18379020690918 + ], + [ + "reveals", + -12.183795928955078 + ], + [ + "friend", + -12.184025764465332 + ], + [ + "▁Connecticut", + -12.18407917022705 + ], + [ + "▁Testament", + -12.184151649475098 + ], + [ + "▁Lit", + -12.184199333190918 + ], + [ + "▁Ship", + -12.184209823608398 + ], + [ + "▁minunat", + -12.184344291687012 + ], + [ + "▁Moving", + -12.184346199035645 + ], + [ + "▁Device", + -12.184486389160156 + ], + [ + "▁Bake", + -12.18453598022461 + ], + [ + "▁qualification", + -12.184633255004883 + ], + [ + "▁challenged", + -12.184640884399414 + ], + [ + "▁Hinweis", + -12.184721946716309 + ], + [ + "▁sechs", + -12.184769630432129 + ], + [ + "та", + -12.184903144836426 + ], + [ + "120", + -12.184904098510742 + ], + [ + "licht", + -12.184940338134766 + ], + [ + "▁supervision", + -12.185022354125977 + ], + [ + "▁milestone", + -12.18503189086914 + ], + [ + "zeig", + -12.185050964355469 + ], + [ + "▁emphasize", + -12.185224533081055 + ], + [ + "▁complain", + -12.185232162475586 + ], + [ + "sack", + -12.185341835021973 + ], + [ + "▁rebuild", + -12.185445785522461 + ], + [ + "projekt", + -12.18548583984375 + ], + [ + "▁saint", + -12.185644149780273 + ], + [ + "lette", + -12.185752868652344 + ], + [ + "rade", + -12.18580150604248 + ], + [ + "▁pacient", + -12.185893058776855 + ], + [ + "signed", + -12.186169624328613 + ], + [ + "▁mil", + -12.186261177062988 + ], + [ + "cali", + -12.186266899108887 + ], + [ + "▁brochure", + -12.186487197875977 + ], + [ + "▁Bulgaria", + -12.186488151550293 + ], + [ + "Har", + -12.186623573303223 + ], + [ + "DH", + -12.186697006225586 + ], + [ + "▁jumping", + -12.186712265014648 + ], + [ + "ären", + -12.186732292175293 + ], + [ + "▁tactics", + -12.186911582946777 + ], + [ + "▁soleil", + -12.187030792236328 + ], + [ + "lessness", + -12.18705940246582 + ], + [ + "steigen", + -12.187085151672363 + ], + [ + "▁Brief", + -12.187117576599121 + ], + [ + "▁Oz", + -12.18718433380127 + ], + [ + "credit", + -12.187239646911621 + ], + [ + "glass", + -12.187241554260254 + ], + [ + "▁Baltimore", + -12.187292098999023 + ], + [ + "varies", + -12.187445640563965 + ], + [ + "sourced", + -12.187575340270996 + ], + [ + "▁documented", + -12.187604904174805 + ], + [ + "▁devine", + -12.187664985656738 + ], + [ + "möglichst", + -12.187732696533203 + ], + [ + "▁früher", + -12.187756538391113 + ], + [ + "outefois", + -12.18790054321289 + ], + [ + "▁Engagement", + -12.187934875488281 + ], + [ + "▁anumit", + -12.18806266784668 + ], + [ + "▁1930", + -12.188186645507812 + ], + [ + "▁Aufgaben", + -12.188214302062988 + ], + [ + "▁lineup", + -12.188227653503418 + ], + [ + "▁Cad", + -12.188349723815918 + ], + [ + "améliorer", + -12.188437461853027 + ], + [ + "▁februarie", + -12.188499450683594 + ], + [ + "▁cancellation", + -12.188529968261719 + ], + [ + "▁locks", + -12.188577651977539 + ], + [ + "▁modèles", + -12.188711166381836 + ], + [ + "▁breakdown", + -12.188748359680176 + ], + [ + "Ticket", + -12.188810348510742 + ], + [ + "▁Chen", + -12.188855171203613 + ], + [ + "▁Competition", + -12.188910484313965 + ], + [ + "▁median", + -12.18896770477295 + ], + [ + "rische", + -12.189159393310547 + ], + [ + "▁multipli", + -12.189269065856934 + ], + [ + "▁Belgium", + -12.189305305480957 + ], + [ + "▁Physical", + -12.189308166503906 + ], + [ + "▁parameter", + -12.189432144165039 + ], + [ + "▁carrot", + -12.189435005187988 + ], + [ + "▁mandat", + -12.189617156982422 + ], + [ + "▁towel", + -12.189697265625 + ], + [ + "▁insured", + -12.189825057983398 + ], + [ + "PRI", + -12.189868927001953 + ], + [ + "etter", + -12.189915657043457 + ], + [ + "▁Oder", + -12.190083503723145 + ], + [ + "argued", + -12.190171241760254 + ], + [ + "FB", + -12.190196990966797 + ], + [ + "versicherung", + -12.190197944641113 + ], + [ + "abila", + -12.190251350402832 + ], + [ + "▁Coin", + -12.190324783325195 + ], + [ + "around", + -12.19050121307373 + ], + [ + "▁Lorsqu", + -12.190773963928223 + ], + [ + "valent", + -12.190918922424316 + ], + [ + "▁weltweit", + -12.19092082977295 + ], + [ + "Mod", + -12.191039085388184 + ], + [ + "▁defect", + -12.191044807434082 + ], + [ + "ibly", + -12.191136360168457 + ], + [ + "▁Juan", + -12.191153526306152 + ], + [ + "▁Jur", + -12.191171646118164 + ], + [ + "large", + -12.191307067871094 + ], + [ + "▁indicators", + -12.191461563110352 + ], + [ + "invest", + -12.19168472290039 + ], + [ + "▁rehabilitation", + -12.191705703735352 + ], + [ + "nag", + -12.191823959350586 + ], + [ + "▁Grundlage", + -12.191829681396484 + ], + [ + "▁Strategy", + -12.192131042480469 + ], + [ + "▁supérieur", + -12.192173957824707 + ], + [ + "▁orbit", + -12.192281723022461 + ], + [ + "▁Auftrag", + -12.192360877990723 + ], + [ + "▁Verb", + -12.192441940307617 + ], + [ + "ANA", + -12.19256591796875 + ], + [ + "▁trimis", + -12.192611694335938 + ], + [ + "▁Rub", + -12.192704200744629 + ], + [ + "institu", + -12.192732810974121 + ], + [ + "▁inspect", + -12.1927490234375 + ], + [ + "▁Princess", + -12.192757606506348 + ], + [ + "especially", + -12.192777633666992 + ], + [ + "▁combinations", + -12.192793846130371 + ], + [ + "▁gaze", + -12.192842483520508 + ], + [ + "elemente", + -12.192970275878906 + ], + [ + "deal", + -12.192980766296387 + ], + [ + "polis", + -12.193157196044922 + ], + [ + "shaw", + -12.193168640136719 + ], + [ + "▁Republicans", + -12.193203926086426 + ], + [ + "aded", + -12.193244934082031 + ], + [ + "▁Louisiana", + -12.193364143371582 + ], + [ + "▁Ville", + -12.193368911743164 + ], + [ + "▁afterwards", + -12.193389892578125 + ], + [ + "ONG", + -12.193608283996582 + ], + [ + "▁dryer", + -12.193636894226074 + ], + [ + "▁Manhattan", + -12.19374942779541 + ], + [ + "▁recomanda", + -12.19412612915039 + ], + [ + "▁juca", + -12.194253921508789 + ], + [ + "▁Crown", + -12.194260597229004 + ], + [ + "▁flesh", + -12.194347381591797 + ], + [ + "sichtig", + -12.194358825683594 + ], + [ + "▁rempli", + -12.19437026977539 + ], + [ + "▁deposits", + -12.19438362121582 + ], + [ + "▁Voll", + -12.194599151611328 + ], + [ + "▁analysts", + -12.194672584533691 + ], + [ + "▁Krieg", + -12.19484806060791 + ], + [ + "▁Rosa", + -12.19495964050293 + ], + [ + "▁Supply", + -12.194964408874512 + ], + [ + "GF", + -12.19497013092041 + ], + [ + "idad", + -12.195098876953125 + ], + [ + "▁flush", + -12.195103645324707 + ], + [ + "▁circular", + -12.195355415344238 + ], + [ + "▁național", + -12.195379257202148 + ], + [ + "▁lorsqu", + -12.195441246032715 + ], + [ + "▁analyst", + -12.195459365844727 + ], + [ + "▁Jahrhundert", + -12.195586204528809 + ], + [ + "▁biology", + -12.195713996887207 + ], + [ + "copy", + -12.195733070373535 + ], + [ + "▁bringt", + -12.195765495300293 + ], + [ + "▁Gospel", + -12.195780754089355 + ], + [ + "▁sorgen", + -12.195842742919922 + ], + [ + "zeichnung", + -12.196181297302246 + ], + [ + "chair", + -12.196197509765625 + ], + [ + "EB", + -12.19636344909668 + ], + [ + "▁Beth", + -12.1964111328125 + ], + [ + "115", + -12.196416854858398 + ], + [ + "▁Neue", + -12.196479797363281 + ], + [ + "▁faible", + -12.196599960327148 + ], + [ + "▁methodology", + -12.196603775024414 + ], + [ + "spiele", + -12.196647644042969 + ], + [ + "▁cherry", + -12.196727752685547 + ], + [ + "▁Mak", + -12.196802139282227 + ], + [ + "▁volet", + -12.196982383728027 + ], + [ + "funk", + -12.197196006774902 + ], + [ + "▁aktuelle", + -12.197372436523438 + ], + [ + "▁Yahoo", + -12.197408676147461 + ], + [ + "▁Zusammenarbeit", + -12.197669982910156 + ], + [ + "▁Serve", + -12.197754859924316 + ], + [ + "▁simpler", + -12.197978019714355 + ], + [ + "intégr", + -12.197990417480469 + ], + [ + "ndlich", + -12.198083877563477 + ], + [ + "▁actress", + -12.198320388793945 + ], + [ + "▁reuse", + -12.198332786560059 + ], + [ + "▁reviewing", + -12.198405265808105 + ], + [ + "statt", + -12.198457717895508 + ], + [ + "▁diving", + -12.198469161987305 + ], + [ + "▁Național", + -12.198677062988281 + ], + [ + "voi", + -12.19873332977295 + ], + [ + "Disc", + -12.198812484741211 + ], + [ + "▁Mineral", + -12.19886302947998 + ], + [ + "▁emit", + -12.199007034301758 + ], + [ + "witz", + -12.199078559875488 + ], + [ + "▁forgot", + -12.19909954071045 + ], + [ + "▁dim", + -12.199115753173828 + ], + [ + "upper", + -12.19947624206543 + ], + [ + "sichtlich", + -12.19949722290039 + ], + [ + "▁parcours", + -12.199670791625977 + ], + [ + "8:00", + -12.199697494506836 + ], + [ + "▁keyword", + -12.199701309204102 + ], + [ + "▁upgrades", + -12.199763298034668 + ], + [ + "kunden", + -12.200177192687988 + ], + [ + "▁Seg", + -12.200257301330566 + ], + [ + "▁Circle", + -12.200289726257324 + ], + [ + "▁ginger", + -12.200336456298828 + ], + [ + "mment", + -12.200516700744629 + ], + [ + "▁expenditure", + -12.200655937194824 + ], + [ + "▁parle", + -12.200693130493164 + ], + [ + "▁Counsel", + -12.200722694396973 + ], + [ + "▁Gui", + -12.200722694396973 + ], + [ + "resident", + -12.20103645324707 + ], + [ + "▁benchmark", + -12.20103931427002 + ], + [ + "▁Elektro", + -12.201064109802246 + ], + [ + "▁réalité", + -12.201064109802246 + ], + [ + "▁ridiculous", + -12.201067924499512 + ], + [ + "▁necklace", + -12.20108699798584 + ], + [ + "nian", + -12.201117515563965 + ], + [ + "▁Move", + -12.20113468170166 + ], + [ + "▁elevated", + -12.201204299926758 + ], + [ + "WE", + -12.201281547546387 + ], + [ + "▁Drum", + -12.20132064819336 + ], + [ + "▁Delivery", + -12.201350212097168 + ], + [ + "indicating", + -12.201452255249023 + ], + [ + "▁Benjamin", + -12.201472282409668 + ], + [ + "▁Samuel", + -12.2014741897583 + ], + [ + "bene", + -12.201666831970215 + ], + [ + "▁experienta", + -12.201676368713379 + ], + [ + "▁rocket", + -12.201839447021484 + ], + [ + "▁fossil", + -12.201883316040039 + ], + [ + "▁festive", + -12.20193099975586 + ], + [ + "▁conscience", + -12.201964378356934 + ], + [ + "▁bacon", + -12.202136993408203 + ], + [ + "▁aero", + -12.202159881591797 + ], + [ + "public", + -12.202187538146973 + ], + [ + "▁zic", + -12.202218055725098 + ], + [ + "ombre", + -12.202356338500977 + ], + [ + "▁Drain", + -12.202550888061523 + ], + [ + "7.5", + -12.202672004699707 + ], + [ + "▁Deutschen", + -12.202703475952148 + ], + [ + "reportedly", + -12.202754974365234 + ], + [ + "▁Français", + -12.203105926513672 + ], + [ + "▁enzyme", + -12.203106880187988 + ], + [ + "▁inquiry", + -12.203117370605469 + ], + [ + "▁presque", + -12.203193664550781 + ], + [ + "▁Airlines", + -12.203228950500488 + ], + [ + "▁Salon", + -12.203237533569336 + ], + [ + "▁Volunteer", + -12.203310012817383 + ], + [ + "▁modular", + -12.203349113464355 + ], + [ + "ón", + -12.203364372253418 + ], + [ + "NH", + -12.203449249267578 + ], + [ + "▁souhaite", + -12.203516960144043 + ], + [ + "social", + -12.203659057617188 + ], + [ + "▁Include", + -12.203729629516602 + ], + [ + "▁Decor", + -12.2037992477417 + ], + [ + "dded", + -12.203965187072754 + ], + [ + "▁Außen", + -12.203969955444336 + ], + [ + "rendu", + -12.20412540435791 + ], + [ + "▁MBA", + -12.204150199890137 + ], + [ + "▁columns", + -12.204155921936035 + ], + [ + "▁Wing", + -12.204436302185059 + ], + [ + "▁landmark", + -12.204442977905273 + ], + [ + "schritt", + -12.204594612121582 + ], + [ + "▁désir", + -12.204630851745605 + ], + [ + "(5)", + -12.204680442810059 + ], + [ + "▁réseaux", + -12.204693794250488 + ], + [ + "income", + -12.204710960388184 + ], + [ + "▁revised", + -12.204819679260254 + ], + [ + "HY", + -12.204863548278809 + ], + [ + "▁Explorer", + -12.204873085021973 + ], + [ + "▁Lam", + -12.204877853393555 + ], + [ + "▁almond", + -12.204910278320312 + ], + [ + "▁faux", + -12.204910278320312 + ], + [ + "opt", + -12.204923629760742 + ], + [ + "Out", + -12.204939842224121 + ], + [ + "▁virtue", + -12.205025672912598 + ], + [ + "▁Chocolate", + -12.205151557922363 + ], + [ + "▁spannend", + -12.205305099487305 + ], + [ + "▁spices", + -12.205327033996582 + ], + [ + "▁Climate", + -12.205560684204102 + ], + [ + "▁Residential", + -12.205560684204102 + ], + [ + "gung", + -12.205700874328613 + ], + [ + "▁filtr", + -12.20606803894043 + ], + [ + "circ", + -12.206123352050781 + ], + [ + "sisted", + -12.206172943115234 + ], + [ + "▁dedicat", + -12.206243515014648 + ], + [ + "▁foil", + -12.206387519836426 + ], + [ + "▁uita", + -12.206392288208008 + ], + [ + "▁lié", + -12.206402778625488 + ], + [ + "▁Demo", + -12.206409454345703 + ], + [ + "▁spoil", + -12.2064208984375 + ], + [ + "Cu", + -12.206448554992676 + ], + [ + "naut", + -12.206525802612305 + ], + [ + "▁configured", + -12.206535339355469 + ], + [ + "UK", + -12.206543922424316 + ], + [ + "▁disagree", + -12.20656967163086 + ], + [ + "Medic", + -12.206767082214355 + ], + [ + "cosm", + -12.207074165344238 + ], + [ + "Toute", + -12.207109451293945 + ], + [ + "▁beneficia", + -12.207170486450195 + ], + [ + "fassen", + -12.207327842712402 + ], + [ + "▁bail", + -12.207337379455566 + ], + [ + "igue", + -12.207439422607422 + ], + [ + "▁Mă", + -12.20744800567627 + ], + [ + "▁strips", + -12.20748519897461 + ], + [ + "▁Dritte", + -12.207537651062012 + ], + [ + "▁putere", + -12.207597732543945 + ], + [ + "Play", + -12.20763111114502 + ], + [ + "▁Samstag", + -12.207632064819336 + ], + [ + "▁households", + -12.207791328430176 + ], + [ + "▁persistent", + -12.207914352416992 + ], + [ + "uben", + -12.207942962646484 + ], + [ + "Web", + -12.20809555053711 + ], + [ + "▁scenery", + -12.20820140838623 + ], + [ + "▁défini", + -12.208257675170898 + ], + [ + "news", + -12.208337783813477 + ], + [ + "eira", + -12.208428382873535 + ], + [ + "▁Mumbai", + -12.208438873291016 + ], + [ + "▁Ward", + -12.208558082580566 + ], + [ + "▁ladder", + -12.2086181640625 + ], + [ + "▁plaque", + -12.208623886108398 + ], + [ + "nés", + -12.208639144897461 + ], + [ + "▁condamn", + -12.20864486694336 + ], + [ + "▁attribute", + -12.208687782287598 + ], + [ + "atti", + -12.20873737335205 + ], + [ + "▁Emily", + -12.208953857421875 + ], + [ + "▁pleine", + -12.20896053314209 + ], + [ + "▁automatisch", + -12.209004402160645 + ], + [ + "ifies", + -12.209052085876465 + ], + [ + "onna", + -12.209104537963867 + ], + [ + "▁inject", + -12.209157943725586 + ], + [ + "▁evolve", + -12.209297180175781 + ], + [ + "▁breeze", + -12.209299087524414 + ], + [ + "▁montre", + -12.209415435791016 + ], + [ + "▁memorial", + -12.209425926208496 + ], + [ + "ämlich", + -12.209465026855469 + ], + [ + "NBC", + -12.209589958190918 + ], + [ + "▁1940", + -12.209836959838867 + ], + [ + "▁trouvé", + -12.209892272949219 + ], + [ + "when", + -12.209914207458496 + ], + [ + "▁Büro", + -12.209959983825684 + ], + [ + "▁probability", + -12.209978103637695 + ], + [ + "cute", + -12.21006965637207 + ], + [ + "▁sturdy", + -12.210078239440918 + ], + [ + "AMP", + -12.210165023803711 + ], + [ + "▁Constantin", + -12.210283279418945 + ], + [ + "▁batter", + -12.21037483215332 + ], + [ + "▁bist", + -12.210470199584961 + ], + [ + "▁streams", + -12.210528373718262 + ], + [ + "rushing", + -12.21057415008545 + ], + [ + "▁shaft", + -12.21065902709961 + ], + [ + "▁proprii", + -12.210722923278809 + ], + [ + "émi", + -12.21074390411377 + ], + [ + "online", + -12.210817337036133 + ], + [ + "▁vanity", + -12.210870742797852 + ], + [ + "▁mural", + -12.210878372192383 + ], + [ + "▁distinguish", + -12.210905075073242 + ], + [ + "▁niciun", + -12.211191177368164 + ], + [ + "▁européenne", + -12.211252212524414 + ], + [ + "▁secretary", + -12.211289405822754 + ], + [ + "▁gaps", + -12.211492538452148 + ], + [ + "▁realm", + -12.211499214172363 + ], + [ + "▁elastic", + -12.211504936218262 + ], + [ + "▁Avoid", + -12.211519241333008 + ], + [ + "▁mauvais", + -12.211931228637695 + ], + [ + "▁innovations", + -12.212663650512695 + ], + [ + "▁suprem", + -12.212776184082031 + ], + [ + "▁vederea", + -12.212817192077637 + ], + [ + "wenden", + -12.212892532348633 + ], + [ + "-40", + -12.213075637817383 + ], + [ + "prenant", + -12.213155746459961 + ], + [ + "utilisateur", + -12.213210105895996 + ], + [ + "▁Oliver", + -12.213228225708008 + ], + [ + "111", + -12.21326732635498 + ], + [ + "▁manifestation", + -12.213382720947266 + ], + [ + "▁Rachel", + -12.213458061218262 + ], + [ + "agog", + -12.21348762512207 + ], + [ + "▁seamless", + -12.213534355163574 + ], + [ + "▁Employee", + -12.213576316833496 + ], + [ + "▁dimanche", + -12.213582038879395 + ], + [ + "▁banii", + -12.213631629943848 + ], + [ + "▁Ruth", + -12.213781356811523 + ], + [ + "▁Roy", + -12.21385383605957 + ], + [ + "▁homeless", + -12.2139253616333 + ], + [ + "▁Lower", + -12.213932037353516 + ], + [ + "health", + -12.21393871307373 + ], + [ + "▁atenti", + -12.2140474319458 + ], + [ + "▁touched", + -12.214183807373047 + ], + [ + "May", + -12.214195251464844 + ], + [ + "▁Buc", + -12.214225769042969 + ], + [ + "▁explored", + -12.214393615722656 + ], + [ + "▁declare", + -12.214461326599121 + ], + [ + "▁garment", + -12.214469909667969 + ], + [ + "▁buzz", + -12.214483261108398 + ], + [ + "▁rappel", + -12.214662551879883 + ], + [ + "▁uscat", + -12.214903831481934 + ], + [ + "▁Hyper", + -12.214914321899414 + ], + [ + "Etat", + -12.215007781982422 + ], + [ + "▁Titel", + -12.215035438537598 + ], + [ + "product", + -12.215191841125488 + ], + [ + "woman", + -12.215280532836914 + ], + [ + "▁Gab", + -12.215450286865234 + ], + [ + "▁advances", + -12.215615272521973 + ], + [ + "2/", + -12.215753555297852 + ], + [ + "prone", + -12.215770721435547 + ], + [ + "kö", + -12.215986251831055 + ], + [ + "▁counting", + -12.21599292755127 + ], + [ + "Sollte", + -12.216043472290039 + ], + [ + "▁Konzept", + -12.216063499450684 + ], + [ + "▁backgrounds", + -12.216153144836426 + ], + [ + "jährige", + -12.216154098510742 + ], + [ + "▁Alltag", + -12.216187477111816 + ], + [ + "▁metrics", + -12.21619701385498 + ], + [ + "▁illustrated", + -12.216222763061523 + ], + [ + "▁Charge", + -12.21631908416748 + ], + [ + "▁thoughtful", + -12.216423034667969 + ], + [ + "gesetz", + -12.216527938842773 + ], + [ + "pfen", + -12.216611862182617 + ], + [ + "▁déroul", + -12.216713905334473 + ], + [ + "▁checkout", + -12.216876029968262 + ], + [ + "quette", + -12.216936111450195 + ], + [ + "▁pierdut", + -12.2170991897583 + ], + [ + "▁Seat", + -12.217140197753906 + ], + [ + "▁linen", + -12.217193603515625 + ], + [ + "archiv", + -12.217245101928711 + ], + [ + "arna", + -12.217254638671875 + ], + [ + "importe", + -12.21742057800293 + ], + [ + "▁PHP", + -12.217496871948242 + ], + [ + "▁Parents", + -12.217503547668457 + ], + [ + "▁Birmingham", + -12.217513084411621 + ], + [ + "▁Integr", + -12.217588424682617 + ], + [ + "▁Mason", + -12.217607498168945 + ], + [ + "zieht", + -12.217781066894531 + ], + [ + "▁camps", + -12.217803001403809 + ], + [ + "OG", + -12.21786117553711 + ], + [ + "▁syrup", + -12.217927932739258 + ], + [ + "▁Cookies", + -12.217928886413574 + ], + [ + "▁Comfort", + -12.217955589294434 + ], + [ + "ută", + -12.217976570129395 + ], + [ + "abia", + -12.217979431152344 + ], + [ + "zeci", + -12.218003273010254 + ], + [ + "▁Gardens", + -12.218009948730469 + ], + [ + "▁incidents", + -12.218149185180664 + ], + [ + "▁participat", + -12.218235969543457 + ], + [ + "▁glimpse", + -12.218342781066895 + ], + [ + "5.5", + -12.218437194824219 + ], + [ + "▁dealers", + -12.218469619750977 + ], + [ + "▁Grande", + -12.218565940856934 + ], + [ + "▁raid", + -12.218944549560547 + ], + [ + "owing", + -12.21903133392334 + ], + [ + "▁contrary", + -12.219109535217285 + ], + [ + "Earlier", + -12.219138145446777 + ], + [ + "tien", + -12.21916389465332 + ], + [ + "drop", + -12.219169616699219 + ], + [ + "▁angajat", + -12.219359397888184 + ], + [ + "▁procesul", + -12.219515800476074 + ], + [ + "▁focal", + -12.219564437866211 + ], + [ + "▁impart", + -12.219703674316406 + ], + [ + "▁Abschluss", + -12.219749450683594 + ], + [ + "carui", + -12.219830513000488 + ], + [ + "insul", + -12.220277786254883 + ], + [ + "▁creamy", + -12.220283508300781 + ], + [ + "eille", + -12.22032356262207 + ], + [ + "suppl", + -12.220335960388184 + ], + [ + "▁Heaven", + -12.220471382141113 + ], + [ + "éna", + -12.220667839050293 + ], + [ + "▁swap", + -12.220739364624023 + ], + [ + "▁vreau", + -12.220762252807617 + ], + [ + "▁Bryan", + -12.220809936523438 + ], + [ + "▁Zug", + -12.220815658569336 + ], + [ + "▁glance", + -12.220848083496094 + ], + [ + "▁elimin", + -12.220900535583496 + ], + [ + "▁yeux", + -12.221084594726562 + ], + [ + "wehr", + -12.221238136291504 + ], + [ + "2.5", + -12.221287727355957 + ], + [ + "▁poses", + -12.221364974975586 + ], + [ + "▁parcel", + -12.221585273742676 + ], + [ + "▁Apartment", + -12.221749305725098 + ], + [ + "▁NASA", + -12.221768379211426 + ], + [ + "▁bénéfici", + -12.22187614440918 + ], + [ + "▁Umgebung", + -12.221890449523926 + ], + [ + "asia", + -12.221946716308594 + ], + [ + "abi", + -12.221967697143555 + ], + [ + "coup", + -12.222002983093262 + ], + [ + "synchron", + -12.222017288208008 + ], + [ + "▁Sicherheits", + -12.222029685974121 + ], + [ + "bic", + -12.222076416015625 + ], + [ + "▁distract", + -12.222148895263672 + ], + [ + "▁rentals", + -12.222163200378418 + ], + [ + "constru", + -12.222290992736816 + ], + [ + "curs", + -12.222345352172852 + ], + [ + "genannten", + -12.222386360168457 + ], + [ + "▁Shanghai", + -12.222501754760742 + ], + [ + "▁vague", + -12.222504615783691 + ], + [ + "▁Leather", + -12.22250747680664 + ], + [ + "▁Vintage", + -12.222532272338867 + ], + [ + "pointing", + -12.22259521484375 + ], + [ + "avant", + -12.22268295288086 + ], + [ + "gues", + -12.222949028015137 + ], + [ + "sweise", + -12.22302532196045 + ], + [ + "▁Greater", + -12.223065376281738 + ], + [ + "fig", + -12.22310733795166 + ], + [ + "▁Blut", + -12.223217964172363 + ], + [ + "▁Stellen", + -12.22326946258545 + ], + [ + "▁isolation", + -12.22337818145752 + ], + [ + "▁overhead", + -12.22338581085205 + ], + [ + "▁wondered", + -12.223508834838867 + ], + [ + "essai", + -12.223609924316406 + ], + [ + "aves", + -12.2236328125 + ], + [ + "▁Shore", + -12.223637580871582 + ], + [ + "▁INC", + -12.223709106445312 + ], + [ + "rufen", + -12.223980903625488 + ], + [ + "▁magnifique", + -12.224069595336914 + ], + [ + "▁intéressant", + -12.224072456359863 + ], + [ + "▁tanks", + -12.224075317382812 + ], + [ + "▁Tun", + -12.224367141723633 + ], + [ + "▁approaching", + -12.224390029907227 + ], + [ + "▁relay", + -12.224479675292969 + ], + [ + "▁Küche", + -12.224529266357422 + ], + [ + "describing", + -12.224587440490723 + ], + [ + "▁Certification", + -12.224588394165039 + ], + [ + "▁Breakfast", + -12.224597930908203 + ], + [ + "▁Frame", + -12.224891662597656 + ], + [ + "▁Stoff", + -12.224909782409668 + ], + [ + "▁victime", + -12.224924087524414 + ], + [ + "Observ", + -12.224943161010742 + ], + [ + "▁gutter", + -12.224989891052246 + ], + [ + "standard", + -12.225220680236816 + ], + [ + "▁Sci", + -12.225244522094727 + ], + [ + "▁sept", + -12.225377082824707 + ], + [ + "▁Potter", + -12.225423812866211 + ], + [ + "letter", + -12.22577953338623 + ], + [ + "▁tobacco", + -12.225852012634277 + ], + [ + "▁threatened", + -12.22591781616211 + ], + [ + "MW", + -12.225936889648438 + ], + [ + "▁Cher", + -12.225944519042969 + ], + [ + "0.1", + -12.225957870483398 + ], + [ + "mitted", + -12.22596263885498 + ], + [ + "zustellen", + -12.225967407226562 + ], + [ + "dominated", + -12.226165771484375 + ], + [ + "/16", + -12.22623348236084 + ], + [ + "POS", + -12.226317405700684 + ], + [ + "▁Zin", + -12.226373672485352 + ], + [ + "▁Okay", + -12.226381301879883 + ], + [ + "▁projected", + -12.226405143737793 + ], + [ + "▁selber", + -12.226548194885254 + ], + [ + "▁proiectului", + -12.2266206741333 + ], + [ + "▁Shell", + -12.226683616638184 + ], + [ + "▁cartridge", + -12.226706504821777 + ], + [ + "Message", + -12.2267484664917 + ], + [ + "haben", + -12.226799964904785 + ], + [ + "▁slides", + -12.226829528808594 + ], + [ + "▁gleichzeitig", + -12.226886749267578 + ], + [ + "▁Racing", + -12.227051734924316 + ], + [ + "▁20,", + -12.227070808410645 + ], + [ + "▁separat", + -12.227094650268555 + ], + [ + "▁repeatedly", + -12.227110862731934 + ], + [ + "▁casting", + -12.22728157043457 + ], + [ + "▁sacred", + -12.227283477783203 + ], + [ + "verfahren", + -12.227387428283691 + ], + [ + "▁echilibr", + -12.227514266967773 + ], + [ + "▁rebel", + -12.2277250289917 + ], + [ + "säu", + -12.227794647216797 + ], + [ + "ummy", + -12.227815628051758 + ], + [ + "▁backing", + -12.227889060974121 + ], + [ + "▁sponsors", + -12.227912902832031 + ], + [ + "▁Stress", + -12.22802448272705 + ], + [ + "▁Rules", + -12.228083610534668 + ], + [ + "▁render", + -12.228241920471191 + ], + [ + "▁funktioniert", + -12.228384971618652 + ], + [ + "▁Pearl", + -12.228472709655762 + ], + [ + "▁Scho", + -12.228527069091797 + ], + [ + "schwer", + -12.228595733642578 + ], + [ + "▁descoperit", + -12.228702545166016 + ], + [ + "holen", + -12.228720664978027 + ], + [ + "imposed", + -12.228960990905762 + ], + [ + "▁appearing", + -12.228968620300293 + ], + [ + "▁höher", + -12.229082107543945 + ], + [ + "▁Victorian", + -12.229111671447754 + ], + [ + "▁founding", + -12.229155540466309 + ], + [ + "▁Polish", + -12.229239463806152 + ], + [ + "▁anume", + -12.229248046875 + ], + [ + "Box", + -12.229488372802734 + ], + [ + "▁intrat", + -12.229598999023438 + ], + [ + "▁Inspiration", + -12.229610443115234 + ], + [ + "▁Canyon", + -12.229625701904297 + ], + [ + "▁Franklin", + -12.22974681854248 + ], + [ + "▁susceptible", + -12.22982120513916 + ], + [ + "trap", + -12.229839324951172 + ], + [ + "▁Roma", + -12.23000717163086 + ], + [ + "▁ethics", + -12.230009078979492 + ], + [ + "▁Privat", + -12.230027198791504 + ], + [ + "▁journalists", + -12.230090141296387 + ], + [ + "▁Universität", + -12.230246543884277 + ], + [ + "▁conditioner", + -12.230308532714844 + ], + [ + "folge", + -12.230327606201172 + ], + [ + "kirche", + -12.230416297912598 + ], + [ + "gehalten", + -12.230530738830566 + ], + [ + "midi", + -12.230570793151855 + ], + [ + "▁radar", + -12.230619430541992 + ], + [ + "▁Yard", + -12.230775833129883 + ], + [ + "▁professionnelle", + -12.230863571166992 + ], + [ + "▁Orchestra", + -12.230870246887207 + ], + [ + "▁immigrants", + -12.230870246887207 + ], + [ + "▁refined", + -12.230929374694824 + ], + [ + "▁Bishop", + -12.231036186218262 + ], + [ + "string", + -12.231095314025879 + ], + [ + "▁majoritatea", + -12.231231689453125 + ], + [ + "▁workflow", + -12.23123836517334 + ], + [ + "▁întreg", + -12.231306076049805 + ], + [ + "went", + -12.231563568115234 + ], + [ + "▁trat", + -12.231689453125 + ], + [ + "felul", + -12.23176383972168 + ], + [ + "▁hardwood", + -12.231821060180664 + ], + [ + "▁Task", + -12.231867790222168 + ], + [ + "branded", + -12.231921195983887 + ], + [ + "▁cinq", + -12.231966018676758 + ], + [ + "▁curb", + -12.232041358947754 + ], + [ + "▁Discount", + -12.232043266296387 + ], + [ + "▁Episode", + -12.232131958007812 + ], + [ + "▁Knowledge", + -12.232144355773926 + ], + [ + "▁tricky", + -12.232173919677734 + ], + [ + "▁characteristic", + -12.232233047485352 + ], + [ + "▁plata", + -12.23226261138916 + ], + [ + "▁Labour", + -12.23232650756836 + ], + [ + "▁Tha", + -12.232372283935547 + ], + [ + "▁Liefer", + -12.232430458068848 + ], + [ + "▁Reader", + -12.232471466064453 + ], + [ + "▁Linda", + -12.232521057128906 + ], + [ + "ittlerweile", + -12.232552528381348 + ], + [ + "defining", + -12.232564926147461 + ], + [ + "▁delayed", + -12.232635498046875 + ], + [ + "▁Bewertung", + -12.232674598693848 + ], + [ + "▁Unique", + -12.232791900634766 + ], + [ + "▁Champion", + -12.232866287231445 + ], + [ + "2008", + -12.232897758483887 + ], + [ + "▁conclu", + -12.232934951782227 + ], + [ + "▁câștig", + -12.2329740524292 + ], + [ + "▁scheduling", + -12.2329740524292 + ], + [ + "▁sailing", + -12.233116149902344 + ], + [ + "▁Storm", + -12.23318862915039 + ], + [ + "▁Stil", + -12.23320198059082 + ], + [ + "▁Album", + -12.233211517333984 + ], + [ + "▁ultime", + -12.233343124389648 + ], + [ + "url", + -12.233369827270508 + ], + [ + "▁terrific", + -12.23339557647705 + ], + [ + "▁remedy", + -12.233396530151367 + ], + [ + "▁Around", + -12.233592987060547 + ], + [ + "▁Kni", + -12.233756065368652 + ], + [ + "etty", + -12.23376750946045 + ], + [ + "Managing", + -12.233809471130371 + ], + [ + "▁Bedeutung", + -12.233816146850586 + ], + [ + "▁earthquake", + -12.233817100524902 + ], + [ + "▁Telefon", + -12.233818054199219 + ], + [ + "▁Upper", + -12.233869552612305 + ], + [ + "▁validation", + -12.233892440795898 + ], + [ + "-22", + -12.233997344970703 + ], + [ + "▁queue", + -12.23401165008545 + ], + [ + "tinde", + -12.234025001525879 + ], + [ + "built", + -12.234047889709473 + ], + [ + "▁voix", + -12.234125137329102 + ], + [ + "▁Resource", + -12.234126091003418 + ], + [ + "ţiuni", + -12.234143257141113 + ], + [ + "▁satisfying", + -12.234299659729004 + ], + [ + "▁Kohl", + -12.234441757202148 + ], + [ + "▁Materials", + -12.234618186950684 + ], + [ + "▁esp", + -12.234732627868652 + ], + [ + "enseignement", + -12.234773635864258 + ], + [ + "danach", + -12.234883308410645 + ], + [ + "peux", + -12.234932899475098 + ], + [ + "▁deployed", + -12.235113143920898 + ], + [ + "▁1976", + -12.235126495361328 + ], + [ + "ușor", + -12.235334396362305 + ], + [ + "élection", + -12.235380172729492 + ], + [ + "ettes", + -12.235437393188477 + ], + [ + "▁Madison", + -12.235506057739258 + ], + [ + "108", + -12.235685348510742 + ], + [ + "berger", + -12.235696792602539 + ], + [ + "▁pedal", + -12.235702514648438 + ], + [ + "▁quasi", + -12.235820770263672 + ], + [ + "▁lend", + -12.235843658447266 + ], + [ + "VER", + -12.235940933227539 + ], + [ + "▁chapters", + -12.236002922058105 + ], + [ + "▁idei", + -12.23600959777832 + ], + [ + "Deine", + -12.236034393310547 + ], + [ + "▁endure", + -12.236092567443848 + ], + [ + "▁Studios", + -12.236259460449219 + ], + [ + "structure", + -12.236274719238281 + ], + [ + "▁puiss", + -12.236370086669922 + ], + [ + "▁Morning", + -12.236443519592285 + ], + [ + "guide", + -12.236462593078613 + ], + [ + "▁Wave", + -12.236617088317871 + ], + [ + "▁banque", + -12.236879348754883 + ], + [ + "änd", + -12.236912727355957 + ], + [ + "oubli", + -12.237070083618164 + ], + [ + "▁mixer", + -12.237125396728516 + ], + [ + "▁remedi", + -12.237210273742676 + ], + [ + "▁scop", + -12.237421989440918 + ], + [ + "▁Rosen", + -12.237561225891113 + ], + [ + "▁spital", + -12.23773193359375 + ], + [ + "blau", + -12.237811088562012 + ], + [ + "▁financiar", + -12.237865447998047 + ], + [ + "avour", + -12.237871170043945 + ], + [ + "Def", + -12.238025665283203 + ], + [ + "▁socket", + -12.238076210021973 + ], + [ + "▁occurring", + -12.238360404968262 + ], + [ + "▁munci", + -12.238368034362793 + ], + [ + "▁realiza", + -12.238426208496094 + ], + [ + "▁beating", + -12.2384614944458 + ], + [ + "▁Phillip", + -12.238490104675293 + ], + [ + "▁courant", + -12.238509178161621 + ], + [ + "Auto", + -12.238608360290527 + ], + [ + "▁Lager", + -12.238685607910156 + ], + [ + "▁folos", + -12.238696098327637 + ], + [ + "▁moyens", + -12.238770484924316 + ], + [ + "▁Ec", + -12.238780975341797 + ], + [ + "▁Strip", + -12.238788604736328 + ], + [ + "sparen", + -12.238848686218262 + ], + [ + "▁Nintendo", + -12.238886833190918 + ], + [ + "▁Murphy", + -12.238912582397461 + ], + [ + "▁flux", + -12.239034652709961 + ], + [ + "▁mots", + -12.239034652709961 + ], + [ + "▁rechts", + -12.239045143127441 + ], + [ + "▁cardio", + -12.239142417907715 + ], + [ + "avoiding", + -12.239343643188477 + ], + [ + "érer", + -12.239453315734863 + ], + [ + "hiel", + -12.239461898803711 + ], + [ + "▁rezistent", + -12.239521980285645 + ], + [ + "close", + -12.23954963684082 + ], + [ + "hésitez", + -12.239596366882324 + ], + [ + "Hz", + -12.239631652832031 + ], + [ + "▁elaborate", + -12.239689826965332 + ], + [ + "▁permanently", + -12.239709854125977 + ], + [ + "▁Pittsburgh", + -12.239734649658203 + ], + [ + "▁counties", + -12.239819526672363 + ], + [ + "▁bookmark", + -12.239919662475586 + ], + [ + "▁Label", + -12.239965438842773 + ], + [ + "▁Freude", + -12.239974021911621 + ], + [ + "▁preferat", + -12.239986419677734 + ], + [ + "▁Mein", + -12.239995002746582 + ], + [ + "▁Crew", + -12.240218162536621 + ], + [ + "▁clips", + -12.240253448486328 + ], + [ + "8,000", + -12.240263938903809 + ], + [ + "▁recognise", + -12.240311622619629 + ], + [ + "ință", + -12.240365028381348 + ], + [ + "▁prieteni", + -12.240447044372559 + ], + [ + "Heute", + -12.240522384643555 + ], + [ + "ancienne", + -12.240534782409668 + ], + [ + "▁annoying", + -12.240583419799805 + ], + [ + "▁awful", + -12.240704536437988 + ], + [ + "▁Comments", + -12.240774154663086 + ], + [ + "▁musician", + -12.240830421447754 + ], + [ + "▁Elite", + -12.241023063659668 + ], + [ + "▁patri", + -12.241024017333984 + ], + [ + "▁Coupon", + -12.241037368774414 + ], + [ + "▁Farbe", + -12.241097450256348 + ], + [ + "▁contribui", + -12.241110801696777 + ], + [ + "hari", + -12.241294860839844 + ], + [ + "▁activitati", + -12.24161148071289 + ], + [ + "▁Traum", + -12.2416410446167 + ], + [ + "1.8", + -12.24170207977295 + ], + [ + "▁Healthcare", + -12.24172306060791 + ], + [ + "▁refresh", + -12.241943359375 + ], + [ + "▁Maha", + -12.242060661315918 + ], + [ + "▁dép", + -12.242082595825195 + ], + [ + "▁Studien", + -12.242314338684082 + ], + [ + "▁spectacol", + -12.242378234863281 + ], + [ + "impro", + -12.24254035949707 + ], + [ + "▁commentaire", + -12.242544174194336 + ], + [ + "ported", + -12.242570877075195 + ], + [ + "▁reclam", + -12.242612838745117 + ], + [ + "▁Verkauf", + -12.242634773254395 + ], + [ + "▁newspapers", + -12.242661476135254 + ], + [ + "▁iubit", + -12.242838859558105 + ], + [ + "▁Kenne", + -12.242844581604004 + ], + [ + "▁Consultant", + -12.242958068847656 + ], + [ + "▁stau", + -12.242986679077148 + ], + [ + "TON", + -12.243057250976562 + ], + [ + "▁Fehler", + -12.243070602416992 + ], + [ + "▁lettre", + -12.243167877197266 + ], + [ + "▁investigator", + -12.243172645568848 + ], + [ + "▁quantities", + -12.243184089660645 + ], + [ + "ogram", + -12.243208885192871 + ], + [ + "avaient", + -12.24323844909668 + ], + [ + "▁reducere", + -12.243265151977539 + ], + [ + "Lite", + -12.243402481079102 + ], + [ + "kurs", + -12.243443489074707 + ], + [ + "pré", + -12.24383544921875 + ], + [ + "pap", + -12.243898391723633 + ], + [ + "▁Männer", + -12.243983268737793 + ], + [ + "▁gauche", + -12.244022369384766 + ], + [ + "▁ähnlich", + -12.244027137756348 + ], + [ + "▁sunlight", + -12.244063377380371 + ], + [ + "▁rester", + -12.24422550201416 + ], + [ + "jumped", + -12.244586944580078 + ], + [ + "▁exclusiv", + -12.24463176727295 + ], + [ + "▁electoral", + -12.244640350341797 + ], + [ + "▁Portal", + -12.244650840759277 + ], + [ + "ulent", + -12.244688987731934 + ], + [ + "▁sonst", + -12.24474048614502 + ], + [ + "entraîne", + -12.24483585357666 + ], + [ + "▁repas", + -12.244837760925293 + ], + [ + "▁redus", + -12.244858741760254 + ], + [ + "aku", + -12.244866371154785 + ], + [ + "▁Graphic", + -12.245251655578613 + ], + [ + "▁geringe", + -12.24539566040039 + ], + [ + "plätze", + -12.245474815368652 + ], + [ + "Trebuie", + -12.245479583740234 + ], + [ + "▁rezultate", + -12.245479583740234 + ], + [ + "▁configure", + -12.245683670043945 + ], + [ + "▁PV", + -12.245834350585938 + ], + [ + "▁insect", + -12.246109962463379 + ], + [ + "▁Reviews", + -12.246129035949707 + ], + [ + "releasing", + -12.246186256408691 + ], + [ + "▁appliance", + -12.246246337890625 + ], + [ + "▁oferte", + -12.246482849121094 + ], + [ + "▁WILL", + -12.246484756469727 + ], + [ + "rion", + -12.246499061584473 + ], + [ + "▁Cole", + -12.246582984924316 + ], + [ + "▁1975", + -12.246650695800781 + ], + [ + "Admin", + -12.24677848815918 + ], + [ + "▁parade", + -12.246800422668457 + ], + [ + "▁mélange", + -12.24692153930664 + ], + [ + "▁shortage", + -12.247007369995117 + ], + [ + "▁Measure", + -12.247400283813477 + ], + [ + "anchmal", + -12.24742603302002 + ], + [ + "▁transfers", + -12.247432708740234 + ], + [ + "▁sistemului", + -12.247573852539062 + ], + [ + "▁deschide", + -12.247819900512695 + ], + [ + "▁Künstler", + -12.247821807861328 + ], + [ + "▁Plain", + -12.247848510742188 + ], + [ + "▁messaging", + -12.247855186462402 + ], + [ + "▁metabolism", + -12.247879981994629 + ], + [ + "fill", + -12.248031616210938 + ], + [ + "▁Bomb", + -12.24814224243164 + ], + [ + "usine", + -12.248208045959473 + ], + [ + "▁restart", + -12.248233795166016 + ], + [ + "▁Discussion", + -12.248336791992188 + ], + [ + "smith", + -12.248472213745117 + ], + [ + "▁Bh", + -12.248607635498047 + ], + [ + "▁sap", + -12.248689651489258 + ], + [ + "Moo", + -12.248714447021484 + ], + [ + "▁indirect", + -12.248785972595215 + ], + [ + "▁eingesetzt", + -12.248863220214844 + ], + [ + "▁Hip", + -12.248870849609375 + ], + [ + "▁iulie", + -12.249113082885742 + ], + [ + "▁atac", + -12.249201774597168 + ], + [ + "▁passport", + -12.2492036819458 + ], + [ + "▁Egyptian", + -12.249290466308594 + ], + [ + "▁soluți", + -12.249349594116211 + ], + [ + "▁cakes", + -12.249356269836426 + ], + [ + "▁Fellow", + -12.24949836730957 + ], + [ + "▁collision", + -12.249533653259277 + ], + [ + "▁abundant", + -12.249961853027344 + ], + [ + "▁Wonder", + -12.24997329711914 + ], + [ + "▁theories", + -12.249991416931152 + ], + [ + "landed", + -12.250046730041504 + ], + [ + "▁meantime", + -12.2500638961792 + ], + [ + "schlüsse", + -12.25022029876709 + ], + [ + "▁helicopter", + -12.25039005279541 + ], + [ + "Voici", + -12.250479698181152 + ], + [ + "▁Honey", + -12.25049877166748 + ], + [ + "▁deleted", + -12.250511169433594 + ], + [ + "▁Projekte", + -12.250523567199707 + ], + [ + "▁gasi", + -12.2506742477417 + ], + [ + "applique", + -12.25068473815918 + ], + [ + "TAL", + -12.250699043273926 + ], + [ + "notch", + -12.250699996948242 + ], + [ + "▁Response", + -12.250818252563477 + ], + [ + "▁deveni", + -12.250818252563477 + ], + [ + "▁regulate", + -12.250829696655273 + ], + [ + "▁vegetarian", + -12.25083065032959 + ], + [ + "▁Pastor", + -12.250880241394043 + ], + [ + "▁Strong", + -12.250940322875977 + ], + [ + "▁élèves", + -12.251055717468262 + ], + [ + "▁alimente", + -12.25113582611084 + ], + [ + "graphy", + -12.251181602478027 + ], + [ + "▁spirits", + -12.251266479492188 + ], + [ + "▁Cau", + -12.251282691955566 + ], + [ + "determin", + -12.251304626464844 + ], + [ + "arilor", + -12.251382827758789 + ], + [ + "▁masura", + -12.251470565795898 + ], + [ + "RAN", + -12.251500129699707 + ], + [ + "marked", + -12.251564979553223 + ], + [ + "cuba", + -12.251602172851562 + ], + [ + "omni", + -12.251609802246094 + ], + [ + "▁detox", + -12.251662254333496 + ], + [ + "▁quartz", + -12.251741409301758 + ], + [ + "▁Bug", + -12.25177001953125 + ], + [ + "▁Sugar", + -12.25185775756836 + ], + [ + "▁opponents", + -12.25197982788086 + ], + [ + "▁solved", + -12.25207805633545 + ], + [ + "semn", + -12.252257347106934 + ], + [ + "▁Prepare", + -12.252558708190918 + ], + [ + "ffel", + -12.252586364746094 + ], + [ + "▁Highlight", + -12.252608299255371 + ], + [ + "▁curent", + -12.252618789672852 + ], + [ + "▁praktisch", + -12.252626419067383 + ], + [ + "▁lending", + -12.252676963806152 + ], + [ + "▁minority", + -12.252752304077148 + ], + [ + "Free", + -12.252970695495605 + ], + [ + "business", + -12.252997398376465 + ], + [ + "▁outlook", + -12.253097534179688 + ], + [ + "▁assessments", + -12.253168106079102 + ], + [ + "▁Brother", + -12.253266334533691 + ], + [ + "▁partager", + -12.25326919555664 + ], + [ + "▁Brun", + -12.25329303741455 + ], + [ + "▁pedestrian", + -12.25339412689209 + ], + [ + "anța", + -12.253413200378418 + ], + [ + "▁recycled", + -12.253457069396973 + ], + [ + "▁quicker", + -12.253626823425293 + ], + [ + "▁lamps", + -12.253683090209961 + ], + [ + "▁nationally", + -12.253813743591309 + ], + [ + "▁Supplier", + -12.253823280334473 + ], + [ + "ograph", + -12.253936767578125 + ], + [ + "engage", + -12.253981590270996 + ], + [ + "▁Marg", + -12.254131317138672 + ], + [ + "▁aplicare", + -12.254181861877441 + ], + [ + "▁scared", + -12.254194259643555 + ], + [ + "▁accredited", + -12.254255294799805 + ], + [ + "▁outils", + -12.25436019897461 + ], + [ + "▁bâtiment", + -12.254446029663086 + ], + [ + "▁existed", + -12.254586219787598 + ], + [ + "gegangen", + -12.254619598388672 + ], + [ + "▁elevation", + -12.25463581085205 + ], + [ + "▁Tradition", + -12.254670143127441 + ], + [ + "▁Gericht", + -12.254677772521973 + ], + [ + "hub", + -12.254680633544922 + ], + [ + "strahl", + -12.25473690032959 + ], + [ + "build", + -12.254796981811523 + ], + [ + "▁Customers", + -12.25487232208252 + ], + [ + "klasse", + -12.254890441894531 + ], + [ + "▁pierre", + -12.254895210266113 + ], + [ + "(2)", + -12.255006790161133 + ], + [ + "Life", + -12.255125999450684 + ], + [ + "▁bachelor", + -12.25513744354248 + ], + [ + "▁quad", + -12.255195617675781 + ], + [ + "▁dispozitiv", + -12.25523567199707 + ], + [ + "106", + -12.255266189575195 + ], + [ + "▁suburb", + -12.255495071411133 + ], + [ + "▁1977", + -12.255586624145508 + ], + [ + "▁Alzheimer", + -12.255973815917969 + ], + [ + "▁spicy", + -12.255988121032715 + ], + [ + "▁spreading", + -12.256002426147461 + ], + [ + "nötigen", + -12.256078720092773 + ], + [ + "▁novels", + -12.256104469299316 + ], + [ + "▁responsabilité", + -12.256141662597656 + ], + [ + "▁Bud", + -12.256332397460938 + ], + [ + "▁desirable", + -12.256407737731934 + ], + [ + "TOR", + -12.256444931030273 + ], + [ + "five", + -12.256547927856445 + ], + [ + "▁Firmen", + -12.256860733032227 + ], + [ + "oeuvre", + -12.257075309753418 + ], + [ + "grass", + -12.257233619689941 + ], + [ + "▁practically", + -12.257277488708496 + ], + [ + "▁runners", + -12.257281303405762 + ], + [ + "▁mothers", + -12.257341384887695 + ], + [ + "Shop", + -12.257345199584961 + ], + [ + "▁Chicken", + -12.257408142089844 + ], + [ + "▁License", + -12.257593154907227 + ], + [ + "▁Bach", + -12.25765323638916 + ], + [ + "earliest", + -12.257729530334473 + ], + [ + "▁replica", + -12.25774097442627 + ], + [ + "▁haunt", + -12.257833480834961 + ], + [ + "▁materi", + -12.257854461669922 + ], + [ + "▁Finland", + -12.257893562316895 + ], + [ + "▁europene", + -12.257919311523438 + ], + [ + "abilă", + -12.257944107055664 + ], + [ + "cati", + -12.258007049560547 + ], + [ + "▁cholesterol", + -12.258132934570312 + ], + [ + "...).", + -12.258151054382324 + ], + [ + "cardi", + -12.25838565826416 + ], + [ + "▁(12", + -12.258387565612793 + ], + [ + "analyzed", + -12.258506774902344 + ], + [ + "▁respondents", + -12.258591651916504 + ], + [ + "▁höchste", + -12.258646011352539 + ], + [ + "▁Kern", + -12.258647918701172 + ], + [ + "▁knapp", + -12.258781433105469 + ], + [ + "▁Someone", + -12.258955001831055 + ], + [ + "▁équipé", + -12.258997917175293 + ], + [ + "credited", + -12.259106636047363 + ], + [ + "▁numar", + -12.259163856506348 + ], + [ + "▁Ace", + -12.259185791015625 + ], + [ + "zentrum", + -12.2592191696167 + ], + [ + "nehmer", + -12.259270668029785 + ], + [ + "arrivée", + -12.259282112121582 + ], + [ + "ELE", + -12.259291648864746 + ], + [ + "clean", + -12.259418487548828 + ], + [ + "Boost", + -12.259538650512695 + ], + [ + "call", + -12.259575843811035 + ], + [ + "▁Polizei", + -12.259659767150879 + ], + [ + "▁Januar", + -12.259663581848145 + ], + [ + "▁Tile", + -12.259681701660156 + ], + [ + "▁traduc", + -12.259744644165039 + ], + [ + "▁promptly", + -12.259773254394531 + ], + [ + "limit", + -12.259809494018555 + ], + [ + "▁recharge", + -12.2598237991333 + ], + [ + "▁wipe", + -12.259862899780273 + ], + [ + "▁Norway", + -12.26001262664795 + ], + [ + "▁Municipal", + -12.260077476501465 + ], + [ + "▁medieval", + -12.260117530822754 + ], + [ + "▁Treat", + -12.26021671295166 + ], + [ + "Orient", + -12.260283470153809 + ], + [ + "▁Stewart", + -12.260294914245605 + ], + [ + "▁lol", + -12.26039981842041 + ], + [ + "appartement", + -12.260522842407227 + ], + [ + "▁payer", + -12.260655403137207 + ], + [ + "▁splash", + -12.260723114013672 + ], + [ + "doubtedly", + -12.260726928710938 + ], + [ + "dry", + -12.260846138000488 + ], + [ + "▁Forex", + -12.260939598083496 + ], + [ + "▁Edinburgh", + -12.260943412780762 + ], + [ + "▁Traditional", + -12.261032104492188 + ], + [ + "▁1968", + -12.261134147644043 + ], + [ + "▁glow", + -12.261248588562012 + ], + [ + "Alternatively", + -12.261265754699707 + ], + [ + "▁partly", + -12.261354446411133 + ], + [ + "égi", + -12.261401176452637 + ], + [ + "▁Prices", + -12.261640548706055 + ], + [ + "haupt", + -12.261651992797852 + ], + [ + "▁sentences", + -12.261711120605469 + ], + [ + "ouvre", + -12.261735916137695 + ], + [ + "▁Liter", + -12.261746406555176 + ], + [ + "▁Important", + -12.2620267868042 + ], + [ + "▁Collins", + -12.262077331542969 + ], + [ + "▁reproduce", + -12.262106895446777 + ], + [ + "▁selten", + -12.262124061584473 + ], + [ + "▁Mitte", + -12.262170791625977 + ], + [ + "OA", + -12.262174606323242 + ], + [ + "▁Sister", + -12.262358665466309 + ], + [ + "▁responding", + -12.262385368347168 + ], + [ + "▁ballot", + -12.262455940246582 + ], + [ + "▁Nutrition", + -12.262460708618164 + ], + [ + "occurrence", + -12.26246452331543 + ], + [ + "Atunci", + -12.262604713439941 + ], + [ + "▁hockey", + -12.262680053710938 + ], + [ + "▁undertaking", + -12.262697219848633 + ], + [ + "▁educators", + -12.262885093688965 + ], + [ + "▁Swedish", + -12.262893676757812 + ], + [ + "▁Recovery", + -12.262894630432129 + ], + [ + "▁circum", + -12.262910842895508 + ], + [ + "▁chains", + -12.263084411621094 + ], + [ + "▁genug", + -12.263113021850586 + ], + [ + "▁Pil", + -12.263227462768555 + ], + [ + "▁farms", + -12.263265609741211 + ], + [ + "▁simplicity", + -12.263336181640625 + ], + [ + "-21", + -12.263399124145508 + ], + [ + "▁partition", + -12.263493537902832 + ], + [ + "▁Relations", + -12.26360034942627 + ], + [ + "zentrale", + -12.263794898986816 + ], + [ + "lapse", + -12.263855934143066 + ], + [ + "▁toast", + -12.263862609863281 + ], + [ + "▁citi", + -12.263946533203125 + ], + [ + "▁longtemps", + -12.263984680175781 + ], + [ + "maj", + -12.264448165893555 + ], + [ + "▁Cin", + -12.264483451843262 + ], + [ + "zeichen", + -12.264504432678223 + ], + [ + "▁Zoo", + -12.264567375183105 + ], + [ + "▁frisch", + -12.264570236206055 + ], + [ + "▁permettra", + -12.264595031738281 + ], + [ + "▁Liberty", + -12.264642715454102 + ], + [ + "▁playground", + -12.264873504638672 + ], + [ + "▁Mate", + -12.265031814575195 + ], + [ + "▁evolving", + -12.265066146850586 + ], + [ + "national", + -12.265207290649414 + ], + [ + "▁signifie", + -12.265279769897461 + ], + [ + "▁Related", + -12.265292167663574 + ], + [ + "NES", + -12.265337944030762 + ], + [ + "euil", + -12.265473365783691 + ], + [ + "▁struggles", + -12.265542030334473 + ], + [ + "▁instinct", + -12.265628814697266 + ], + [ + "arbre", + -12.26608943939209 + ], + [ + "▁commands", + -12.266222953796387 + ], + [ + "▁frumoase", + -12.26637077331543 + ], + [ + "▁watches", + -12.266779899597168 + ], + [ + "NM", + -12.266804695129395 + ], + [ + "▁influential", + -12.266807556152344 + ], + [ + "▁gewesen", + -12.266901969909668 + ], + [ + "▁Pictures", + -12.267224311828613 + ], + [ + "▁HVAC", + -12.267242431640625 + ], + [ + "▁skate", + -12.26732063293457 + ], + [ + "▁Robot", + -12.267327308654785 + ], + [ + "▁Boys", + -12.267404556274414 + ], + [ + "▁Mutter", + -12.267425537109375 + ], + [ + "▁marques", + -12.267539024353027 + ], + [ + "utiliser", + -12.267793655395508 + ], + [ + "▁amazed", + -12.267799377441406 + ], + [ + "ächtig", + -12.26783275604248 + ], + [ + "▁Success", + -12.267870903015137 + ], + [ + "gramm", + -12.267956733703613 + ], + [ + "▁1972", + -12.267956733703613 + ], + [ + "▁marina", + -12.268269538879395 + ], + [ + "▁lou", + -12.268321990966797 + ], + [ + "▁précis", + -12.268380165100098 + ], + [ + "ographic", + -12.268482208251953 + ], + [ + "people", + -12.26848316192627 + ], + [ + "fahr", + -12.268547058105469 + ], + [ + "▁Contemporary", + -12.268550872802734 + ], + [ + "▁frustrating", + -12.26858139038086 + ], + [ + "chide", + -12.268704414367676 + ], + [ + "1.5", + -12.268807411193848 + ], + [ + "▁ankle", + -12.268850326538086 + ], + [ + "▁proximity", + -12.268986701965332 + ], + [ + "▁Leute", + -12.269006729125977 + ], + [ + "UA", + -12.269031524658203 + ], + [ + "union", + -12.269131660461426 + ], + [ + "▁recovered", + -12.269133567810059 + ], + [ + "▁sword", + -12.269216537475586 + ], + [ + "▁Mut", + -12.26923942565918 + ], + [ + "▁Rin", + -12.269360542297363 + ], + [ + "▁lectures", + -12.26942253112793 + ], + [ + "▁licensing", + -12.269423484802246 + ], + [ + "MAC", + -12.269498825073242 + ], + [ + "▁commute", + -12.269776344299316 + ], + [ + "Acesta", + -12.269858360290527 + ], + [ + "▁Koch", + -12.270088195800781 + ], + [ + "▁depozit", + -12.270119667053223 + ], + [ + "▁erstmal", + -12.270163536071777 + ], + [ + "arhi", + -12.270271301269531 + ], + [ + "▁Normal", + -12.270462036132812 + ], + [ + "EZ", + -12.270464897155762 + ], + [ + "ărilor", + -12.270986557006836 + ], + [ + "▁favoris", + -12.271041870117188 + ], + [ + "▁$9", + -12.271050453186035 + ], + [ + "▁Lawrence", + -12.271172523498535 + ], + [ + "▁fixing", + -12.271200180053711 + ], + [ + "▁researching", + -12.271288871765137 + ], + [ + "▁Pant", + -12.271467208862305 + ], + [ + "▁candid", + -12.271490097045898 + ], + [ + "▁Arkansas", + -12.27160930633545 + ], + [ + "▁bitcoin", + -12.271612167358398 + ], + [ + "ва", + -12.271645545959473 + ], + [ + "▁Finger", + -12.271692276000977 + ], + [ + "▁SRL", + -12.271718978881836 + ], + [ + "Arg", + -12.271797180175781 + ], + [ + "trade", + -12.271903991699219 + ], + [ + "▁extraction", + -12.271941184997559 + ], + [ + "▁footprint", + -12.2720308303833 + ], + [ + "▁folosite", + -12.272085189819336 + ], + [ + "▁Flex", + -12.272184371948242 + ], + [ + "▁dys", + -12.272294998168945 + ], + [ + "▁Wright", + -12.272343635559082 + ], + [ + "▁multitude", + -12.272378921508789 + ], + [ + "▁Chu", + -12.272494316101074 + ], + [ + "▁Jerry", + -12.27249526977539 + ], + [ + "▁notebook", + -12.272722244262695 + ], + [ + "▁SIM", + -12.272932052612305 + ], + [ + "dietary", + -12.272963523864746 + ], + [ + "▁polished", + -12.272984504699707 + ], + [ + "▁carriers", + -12.272993087768555 + ], + [ + "▁cardiac", + -12.27299976348877 + ], + [ + "▁burned", + -12.273038864135742 + ], + [ + "▁sealed", + -12.273062705993652 + ], + [ + "▁pumps", + -12.273224830627441 + ], + [ + "▁consumed", + -12.273233413696289 + ], + [ + "▁Teaching", + -12.273446083068848 + ], + [ + "▁daughters", + -12.27348518371582 + ], + [ + "serviciile", + -12.273600578308105 + ], + [ + "▁Teams", + -12.273690223693848 + ], + [ + "▁avoided", + -12.273903846740723 + ], + [ + "▁compagnie", + -12.274019241333008 + ], + [ + "▁mașin", + -12.274024963378906 + ], + [ + "▁Sean", + -12.27418041229248 + ], + [ + "▁arunc", + -12.274208068847656 + ], + [ + "kräfte", + -12.274238586425781 + ], + [ + "vani", + -12.274255752563477 + ], + [ + "Metall", + -12.27437973022461 + ], + [ + "2009", + -12.274449348449707 + ], + [ + "moi", + -12.274688720703125 + ], + [ + "▁THAT", + -12.274700164794922 + ], + [ + "▁Ny", + -12.274809837341309 + ], + [ + "▁countertops", + -12.274860382080078 + ], + [ + "Pod", + -12.274938583374023 + ], + [ + "amente", + -12.274943351745605 + ], + [ + "▁offshore", + -12.275001525878906 + ], + [ + "luti", + -12.275087356567383 + ], + [ + "parked", + -12.275160789489746 + ], + [ + "ajout", + -12.275247573852539 + ], + [ + "Shirt", + -12.275328636169434 + ], + [ + "▁3/4", + -12.275389671325684 + ], + [ + "▁gratuite", + -12.27543830871582 + ], + [ + "mètres", + -12.27557373046875 + ], + [ + "▁Wish", + -12.2755765914917 + ], + [ + "▁holistic", + -12.27558422088623 + ], + [ + "gren", + -12.275607109069824 + ], + [ + "compiled", + -12.275660514831543 + ], + [ + "▁innocent", + -12.275779724121094 + ], + [ + "▁sorte", + -12.275787353515625 + ], + [ + "▁insulin", + -12.275792121887207 + ], + [ + "▁Academic", + -12.275996208190918 + ], + [ + "▁acrylic", + -12.27600383758545 + ], + [ + "▁hinzu", + -12.27616024017334 + ], + [ + "▁compression", + -12.27619457244873 + ], + [ + "▁viral", + -12.276220321655273 + ], + [ + "▁stereo", + -12.2764892578125 + ], + [ + "▁Concept", + -12.276542663574219 + ], + [ + "▁Margaret", + -12.276659965515137 + ], + [ + "▁consolidation", + -12.276875495910645 + ], + [ + "Figure", + -12.277058601379395 + ], + [ + "zzo", + -12.277061462402344 + ], + [ + "▁Egg", + -12.277098655700684 + ], + [ + "weiterhin", + -12.277213096618652 + ], + [ + "▁Vista", + -12.277252197265625 + ], + [ + "▁necessity", + -12.277316093444824 + ], + [ + "▁kayak", + -12.277490615844727 + ], + [ + "▁consensus", + -12.277535438537598 + ], + [ + "▁Katz", + -12.277602195739746 + ], + [ + "▁Warren", + -12.277640342712402 + ], + [ + "▁custody", + -12.277755737304688 + ], + [ + "++", + -12.277759552001953 + ], + [ + "▁paiement", + -12.277782440185547 + ], + [ + "▁foul", + -12.277878761291504 + ], + [ + "Chaque", + -12.277934074401855 + ], + [ + "▁Syrian", + -12.277998924255371 + ], + [ + "▁photographers", + -12.278056144714355 + ], + [ + "▁dismiss", + -12.278270721435547 + ], + [ + "▁Gaz", + -12.278526306152344 + ], + [ + "▁développer", + -12.278529167175293 + ], + [ + "▁Dakota", + -12.27863883972168 + ], + [ + "▁cardiovascular", + -12.278642654418945 + ], + [ + "▁tattoo", + -12.278858184814453 + ], + [ + "▁Lighting", + -12.278918266296387 + ], + [ + "▁nowhere", + -12.278940200805664 + ], + [ + "vada", + -12.27895450592041 + ], + [ + "▁Favor", + -12.279084205627441 + ], + [ + "ruled", + -12.2791748046875 + ], + [ + "▁Dating", + -12.2793550491333 + ], + [ + "gain", + -12.279963493347168 + ], + [ + "rism", + -12.28016471862793 + ], + [ + "coloured", + -12.280169486999512 + ], + [ + "▁refugees", + -12.280184745788574 + ], + [ + "▁Schm", + -12.2803955078125 + ], + [ + "▁happily", + -12.280402183532715 + ], + [ + "▁specification", + -12.280607223510742 + ], + [ + "WM", + -12.280736923217773 + ], + [ + "▁intro", + -12.280823707580566 + ], + [ + "rack", + -12.28097915649414 + ], + [ + "characterized", + -12.28107738494873 + ], + [ + "▁externe", + -12.281136512756348 + ], + [ + "▁arrives", + -12.28114128112793 + ], + [ + "WO", + -12.281181335449219 + ], + [ + "bericht", + -12.281233787536621 + ], + [ + "▁delays", + -12.281242370605469 + ], + [ + "▁Flight", + -12.281256675720215 + ], + [ + "1-3", + -12.281524658203125 + ], + [ + "▁Singh", + -12.281548500061035 + ], + [ + "▁shifting", + -12.281651496887207 + ], + [ + "▁dashboard", + -12.281729698181152 + ], + [ + "▁lieux", + -12.281781196594238 + ], + [ + "▁validate", + -12.281901359558105 + ], + [ + "▁uniquement", + -12.281963348388672 + ], + [ + "clip", + -12.28199291229248 + ], + [ + "cov", + -12.282132148742676 + ], + [ + "▁tendance", + -12.282215118408203 + ], + [ + "èle", + -12.282258033752441 + ], + [ + "▁incepe", + -12.282261848449707 + ], + [ + "▁chunk", + -12.282585144042969 + ], + [ + "▁Nr", + -12.28266716003418 + ], + [ + "▁Montana", + -12.282674789428711 + ], + [ + "▁sticks", + -12.28277587890625 + ], + [ + "▁caps", + -12.28309154510498 + ], + [ + "▁Jimmy", + -12.283167839050293 + ], + [ + "▁Levi", + -12.283285140991211 + ], + [ + "▁cables", + -12.28345012664795 + ], + [ + "▁SB", + -12.283550262451172 + ], + [ + "▁thème", + -12.2836275100708 + ], + [ + "ADA", + -12.283672332763672 + ], + [ + "▁garant", + -12.283686637878418 + ], + [ + "▁Joint", + -12.283820152282715 + ], + [ + "▁partage", + -12.28398323059082 + ], + [ + "schreib", + -12.284119606018066 + ], + [ + "ether", + -12.28420352935791 + ], + [ + "▁Klima", + -12.284303665161133 + ], + [ + "▁medicines", + -12.284317016601562 + ], + [ + "▁pH", + -12.284320831298828 + ], + [ + "Architect", + -12.284378051757812 + ], + [ + "știi", + -12.284396171569824 + ], + [ + "▁retrouve", + -12.284700393676758 + ], + [ + "▁posture", + -12.284753799438477 + ], + [ + "Feature", + -12.284773826599121 + ], + [ + "▁drying", + -12.284884452819824 + ], + [ + "trifft", + -12.28488826751709 + ], + [ + "ibi", + -12.285079002380371 + ], + [ + "▁rezerv", + -12.285116195678711 + ], + [ + "▁Vă", + -12.28518009185791 + ], + [ + "▁Speaker", + -12.285282135009766 + ], + [ + "▁illustration", + -12.285319328308105 + ], + [ + "oooo", + -12.285419464111328 + ], + [ + "▁initiated", + -12.285518646240234 + ], + [ + "PK", + -12.285545349121094 + ], + [ + "▁algorithms", + -12.285630226135254 + ], + [ + "▁zice", + -12.285757064819336 + ], + [ + "WI", + -12.28581428527832 + ], + [ + "urgence", + -12.285823822021484 + ], + [ + "▁bloggers", + -12.285887718200684 + ], + [ + "▁realitate", + -12.285894393920898 + ], + [ + "eks", + -12.28598690032959 + ], + [ + "▁cushions", + -12.286149024963379 + ], + [ + "▁Kri", + -12.286224365234375 + ], + [ + "▁réalisation", + -12.286396026611328 + ], + [ + "▁Photoshop", + -12.286407470703125 + ], + [ + "cret", + -12.286462783813477 + ], + [ + "faire", + -12.286613464355469 + ], + [ + "▁Cei", + -12.286782264709473 + ], + [ + "ICO", + -12.286789894104004 + ], + [ + "Contin", + -12.28681755065918 + ], + [ + "▁Builder", + -12.286916732788086 + ], + [ + "look", + -12.28698444366455 + ], + [ + "▁tenants", + -12.287023544311523 + ], + [ + "▁gloves", + -12.287113189697266 + ], + [ + "Day", + -12.287169456481934 + ], + [ + "firmly", + -12.28725814819336 + ], + [ + "CIA", + -12.287352561950684 + ], + [ + "▁TVA", + -12.28741455078125 + ], + [ + "▁notifications", + -12.287446975708008 + ], + [ + "▁Higher", + -12.287459373474121 + ], + [ + "▁Weihnachts", + -12.287491798400879 + ], + [ + "▁blur", + -12.287755012512207 + ], + [ + "ов", + -12.288087844848633 + ], + [ + "feder", + -12.288159370422363 + ], + [ + "▁explosion", + -12.288171768188477 + ], + [ + "▁Fenster", + -12.288189888000488 + ], + [ + "▁junge", + -12.288225173950195 + ], + [ + "▁Highland", + -12.288230895996094 + ], + [ + "▁Lü", + -12.288290023803711 + ], + [ + "▁Alba", + -12.28832721710205 + ], + [ + "▁Dort", + -12.288338661193848 + ], + [ + "▁recruiting", + -12.28835391998291 + ], + [ + "▁Multiple", + -12.288549423217773 + ], + [ + "▁animated", + -12.288604736328125 + ], + [ + "▁Virgin", + -12.288637161254883 + ], + [ + "1000", + -12.288676261901855 + ], + [ + "▁resin", + -12.288700103759766 + ], + [ + "▁matrix", + -12.288826942443848 + ], + [ + "irri", + -12.289011001586914 + ], + [ + "▁chiffre", + -12.28904914855957 + ], + [ + "▁Corps", + -12.289252281188965 + ], + [ + "▁advocacy", + -12.28927230834961 + ], + [ + "▁pozitiv", + -12.289274215698242 + ], + [ + "▁pouss", + -12.289451599121094 + ], + [ + "événement", + -12.28950309753418 + ], + [ + "▁pielii", + -12.289717674255371 + ], + [ + "onnais", + -12.289750099182129 + ], + [ + "▁Statement", + -12.289754867553711 + ], + [ + "crimin", + -12.289868354797363 + ], + [ + "hidrat", + -12.289942741394043 + ], + [ + "▁Jugendliche", + -12.290057182312012 + ], + [ + "TRI", + -12.290223121643066 + ], + [ + "erra", + -12.290240287780762 + ], + [ + "chat", + -12.290321350097656 + ], + [ + "▁traits", + -12.290359497070312 + ], + [ + "▁incentives", + -12.29038143157959 + ], + [ + "▁accelerate", + -12.290568351745605 + ], + [ + "woven", + -12.290633201599121 + ], + [ + "UST", + -12.290688514709473 + ], + [ + "▁premiers", + -12.290717124938965 + ], + [ + "▁Ferien", + -12.290755271911621 + ], + [ + "▁mariage", + -12.290796279907227 + ], + [ + "▁financially", + -12.290801048278809 + ], + [ + "gesellschaft", + -12.290863037109375 + ], + [ + "▁situaţi", + -12.290865898132324 + ], + [ + "▁quoted", + -12.291373252868652 + ], + [ + "▁periodic", + -12.291421890258789 + ], + [ + "▁chaos", + -12.291543960571289 + ], + [ + "▁remodel", + -12.29159927368164 + ], + [ + "▁Contractor", + -12.291641235351562 + ], + [ + "▁recuper", + -12.291729927062988 + ], + [ + "▁driveway", + -12.291755676269531 + ], + [ + "▁entertain", + -12.291765213012695 + ], + [ + "▁condus", + -12.291769027709961 + ], + [ + "▁chefs", + -12.29184341430664 + ], + [ + "pak", + -12.291866302490234 + ], + [ + "▁possède", + -12.291948318481445 + ], + [ + "▁outreach", + -12.291984558105469 + ], + [ + "▁navig", + -12.292036056518555 + ], + [ + "▁renewal", + -12.292071342468262 + ], + [ + "▁Rice", + -12.292309761047363 + ], + [ + "▁Czech", + -12.292398452758789 + ], + [ + "▁entstehen", + -12.292445182800293 + ], + [ + "▁droite", + -12.292448997497559 + ], + [ + "▁Investor", + -12.292497634887695 + ], + [ + "▁Soci", + -12.29250431060791 + ], + [ + "▁scalp", + -12.292622566223145 + ], + [ + "▁politiques", + -12.292815208435059 + ], + [ + "▁plaintiff", + -12.292841911315918 + ], + [ + "extending", + -12.29287052154541 + ], + [ + "▁paperwork", + -12.29300594329834 + ], + [ + "vizi", + -12.293142318725586 + ], + [ + "assisting", + -12.29317569732666 + ], + [ + "local", + -12.293272972106934 + ], + [ + "▁Wear", + -12.293323516845703 + ], + [ + "▁descend", + -12.293340682983398 + ], + [ + "▁Wikipedia", + -12.293513298034668 + ], + [ + "▁Consiliului", + -12.293516159057617 + ], + [ + "▁Nokia", + -12.293540000915527 + ], + [ + "▁facult", + -12.293560028076172 + ], + [ + "▁altogether", + -12.293851852416992 + ], + [ + "▁rankings", + -12.29391860961914 + ], + [ + "▁downloading", + -12.293953895568848 + ], + [ + "QU", + -12.294007301330566 + ], + [ + "▁Olive", + -12.294041633605957 + ], + [ + "▁backdrop", + -12.294110298156738 + ], + [ + "▁recomandat", + -12.294116020202637 + ], + [ + "▁Faculty", + -12.294184684753418 + ], + [ + "ANS", + -12.294220924377441 + ], + [ + "▁fracture", + -12.294225692749023 + ], + [ + "job", + -12.29448127746582 + ], + [ + "▁anticipate", + -12.294525146484375 + ], + [ + "▁drift", + -12.294543266296387 + ], + [ + "▁Marco", + -12.294632911682129 + ], + [ + "▁witnessed", + -12.294700622558594 + ], + [ + "▁comprend", + -12.294974327087402 + ], + [ + "▁bulb", + -12.29504680633545 + ], + [ + "▁shallow", + -12.295059204101562 + ], + [ + "stärke", + -12.295063972473145 + ], + [ + "▁Jessica", + -12.295080184936523 + ], + [ + "▁démarche", + -12.29508113861084 + ], + [ + "▁traditionally", + -12.29508113861084 + ], + [ + "Deputy", + -12.295093536376953 + ], + [ + "▁rivers", + -12.295260429382324 + ], + [ + "▁livraison", + -12.29531192779541 + ], + [ + "▁lacking", + -12.295421600341797 + ], + [ + "▁remodeling", + -12.295426368713379 + ], + [ + "▁acesteia", + -12.295514106750488 + ], + [ + "▁grosse", + -12.295669555664062 + ], + [ + "▁propus", + -12.295833587646484 + ], + [ + "lessly", + -12.29587459564209 + ], + [ + "▁Kredit", + -12.295931816101074 + ], + [ + "reputable", + -12.295981407165527 + ], + [ + "▁Sell", + -12.2960205078125 + ], + [ + "▁Crime", + -12.296111106872559 + ], + [ + "Ent", + -12.296310424804688 + ], + [ + "finity", + -12.296422004699707 + ], + [ + "▁Complex", + -12.296500205993652 + ], + [ + "easing", + -12.296638488769531 + ], + [ + "dynamic", + -12.296670913696289 + ], + [ + "▁eaten", + -12.296727180480957 + ], + [ + "gezogen", + -12.296734809875488 + ], + [ + "▁2004,", + -12.296774864196777 + ], + [ + "▁Muslims", + -12.296822547912598 + ], + [ + "▁Sprache", + -12.296883583068848 + ], + [ + "▁Truth", + -12.296927452087402 + ], + [ + "▁guarantees", + -12.296928405761719 + ], + [ + "/5", + -12.29712963104248 + ], + [ + "”).", + -12.297135353088379 + ], + [ + "▁Medium", + -12.2972993850708 + ], + [ + "▁décidé", + -12.297445297241211 + ], + [ + "▁balcony", + -12.29747200012207 + ], + [ + "leuchte", + -12.297502517700195 + ], + [ + "hik", + -12.297849655151367 + ], + [ + "▁Agriculture", + -12.298221588134766 + ], + [ + "▁securities", + -12.298221588134766 + ], + [ + "Probably", + -12.298224449157715 + ], + [ + "▁macar", + -12.29824161529541 + ], + [ + "▁Signal", + -12.298399925231934 + ], + [ + "lake", + -12.298677444458008 + ], + [ + "▁compétences", + -12.298726081848145 + ], + [ + "▁proprietary", + -12.298812866210938 + ], + [ + "allons", + -12.298850059509277 + ], + [ + "▁belongs", + -12.298916816711426 + ], + [ + "▁missile", + -12.298958778381348 + ], + [ + "țiune", + -12.298999786376953 + ], + [ + "▁Integration", + -12.299116134643555 + ], + [ + "▁testimony", + -12.299120903015137 + ], + [ + "▁wesentlich", + -12.299142837524414 + ], + [ + "▁donors", + -12.299152374267578 + ], + [ + "▁pivot", + -12.299202919006348 + ], + [ + "▁Uber", + -12.299219131469727 + ], + [ + "▁databases", + -12.299281120300293 + ], + [ + "▁studi", + -12.299317359924316 + ], + [ + "totdeauna", + -12.299351692199707 + ], + [ + "▁briefly", + -12.299449920654297 + ], + [ + "▁livr", + -12.29952335357666 + ], + [ + "▁CRM", + -12.299581527709961 + ], + [ + "gone", + -12.299697875976562 + ], + [ + "10)", + -12.299761772155762 + ], + [ + "▁zilele", + -12.299920082092285 + ], + [ + "Basically", + -12.300008773803711 + ], + [ + "▁medie", + -12.300041198730469 + ], + [ + "spotted", + -12.30006217956543 + ], + [ + "▁troubles", + -12.30009937286377 + ], + [ + "▁acknowledged", + -12.300176620483398 + ], + [ + "350", + -12.300185203552246 + ], + [ + "LB", + -12.300273895263672 + ], + [ + "Phy", + -12.30038833618164 + ], + [ + "natal", + -12.300397872924805 + ], + [ + "illé", + -12.300445556640625 + ], + [ + "bilder", + -12.300625801086426 + ], + [ + "▁apples", + -12.300636291503906 + ], + [ + "graphical", + -12.300889015197754 + ], + [ + "organiser", + -12.301024436950684 + ], + [ + "▁ochii", + -12.301040649414062 + ], + [ + "glas", + -12.301178932189941 + ], + [ + "CAP", + -12.301180839538574 + ], + [ + "▁Doors", + -12.301331520080566 + ], + [ + "▁Eis", + -12.30156135559082 + ], + [ + "tipuri", + -12.301590919494629 + ], + [ + "▁Worth", + -12.301684379577637 + ], + [ + "izează", + -12.301719665527344 + ], + [ + "nunț", + -12.30180549621582 + ], + [ + "▁Trip", + -12.30186653137207 + ], + [ + "ISS", + -12.301976203918457 + ], + [ + "efficient", + -12.30201530456543 + ], + [ + "Luckily", + -12.302099227905273 + ], + [ + "▁vase", + -12.302133560180664 + ], + [ + "▁gay", + -12.302343368530273 + ], + [ + "▁certificates", + -12.302434921264648 + ], + [ + "riad", + -12.302549362182617 + ], + [ + "stab", + -12.302570343017578 + ], + [ + "affiche", + -12.302604675292969 + ], + [ + "▁iPod", + -12.302645683288574 + ], + [ + "▁aștept", + -12.302726745605469 + ], + [ + "▁$500", + -12.302751541137695 + ], + [ + "▁Catherine", + -12.302952766418457 + ], + [ + "▁Circuit", + -12.302957534790039 + ], + [ + "▁ranch", + -12.303045272827148 + ], + [ + "▁consequence", + -12.303118705749512 + ], + [ + "listened", + -12.303131103515625 + ], + [ + "▁Options", + -12.303187370300293 + ], + [ + "feed", + -12.30318832397461 + ], + [ + "▁adviser", + -12.303248405456543 + ], + [ + "▁présenter", + -12.30333423614502 + ], + [ + "substant", + -12.30337905883789 + ], + [ + "▁Flag", + -12.303604125976562 + ], + [ + "▁Keith", + -12.30366325378418 + ], + [ + "▁inima", + -12.303709983825684 + ], + [ + "▁substrate", + -12.30373764038086 + ], + [ + "▁charger", + -12.303803443908691 + ], + [ + "▁reporter", + -12.303844451904297 + ], + [ + "ütz", + -12.304068565368652 + ], + [ + "▁unten", + -12.30417537689209 + ], + [ + "▁sympa", + -12.304542541503906 + ], + [ + "▁defeated", + -12.304600715637207 + ], + [ + "ändig", + -12.304644584655762 + ], + [ + "individu", + -12.304747581481934 + ], + [ + "▁Straßen", + -12.304774284362793 + ], + [ + "▁Nepal", + -12.304791450500488 + ], + [ + "million", + -12.304803848266602 + ], + [ + "▁Cake", + -12.30499267578125 + ], + [ + "▁investigations", + -12.30526065826416 + ], + [ + "▁inspector", + -12.3054780960083 + ], + [ + "▁Campbell", + -12.305486679077148 + ], + [ + "▁consommation", + -12.305489540100098 + ], + [ + "▁Ministerul", + -12.305628776550293 + ], + [ + "Advisory", + -12.305749893188477 + ], + [ + "▁Leistungs", + -12.305939674377441 + ], + [ + "▁Pull", + -12.306157112121582 + ], + [ + "▁lover", + -12.306194305419922 + ], + [ + "▁trunk", + -12.306380271911621 + ], + [ + "▁folosesc", + -12.30639934539795 + ], + [ + "pom", + -12.306558609008789 + ], + [ + "wunder", + -12.306794166564941 + ], + [ + "▁happier", + -12.306801795959473 + ], + [ + "▁embark", + -12.30689525604248 + ], + [ + "▁mediul", + -12.3069486618042 + ], + [ + "riff", + -12.306973457336426 + ], + [ + "▁copilul", + -12.307039260864258 + ], + [ + "ommage", + -12.307126998901367 + ], + [ + "rechnung", + -12.307218551635742 + ], + [ + "NU", + -12.307220458984375 + ], + [ + "▁fellowship", + -12.307395935058594 + ], + [ + "▁Mental", + -12.307403564453125 + ], + [ + "▁fever", + -12.3074312210083 + ], + [ + "▁silly", + -12.307547569274902 + ], + [ + "Object", + -12.30756664276123 + ], + [ + "NV", + -12.307591438293457 + ], + [ + "от", + -12.30774974822998 + ], + [ + "▁Strand", + -12.307762145996094 + ], + [ + "▁Exist", + -12.30777359008789 + ], + [ + "warum", + -12.307832717895508 + ], + [ + "CY", + -12.307848930358887 + ], + [ + "kä", + -12.307856559753418 + ], + [ + "!!!!!", + -12.307869911193848 + ], + [ + "▁moarte", + -12.30793571472168 + ], + [ + "▁waterfall", + -12.308024406433105 + ], + [ + "left", + -12.30815601348877 + ], + [ + "▁Nursing", + -12.308225631713867 + ], + [ + "▁invalid", + -12.30826187133789 + ], + [ + "struktur", + -12.308385848999023 + ], + [ + "Allerdings", + -12.30838680267334 + ], + [ + "étranger", + -12.30838680267334 + ], + [ + "▁prost", + -12.308517456054688 + ], + [ + "▁Parent", + -12.308562278747559 + ], + [ + "▁întreag", + -12.308611869812012 + ], + [ + "▁compensate", + -12.308871269226074 + ], + [ + "▁sometime", + -12.308955192565918 + ], + [ + "graduate", + -12.308968544006348 + ], + [ + "▁Carter", + -12.30898380279541 + ], + [ + "▁crap", + -12.308998107910156 + ], + [ + "▁mathematics", + -12.309067726135254 + ], + [ + "resemble", + -12.309069633483887 + ], + [ + "Dame", + -12.309152603149414 + ], + [ + "▁Swa", + -12.309198379516602 + ], + [ + "▁celebrity", + -12.309239387512207 + ], + [ + "▁verified", + -12.309338569641113 + ], + [ + "▁Behind", + -12.309349060058594 + ], + [ + "carbon", + -12.309432983398438 + ], + [ + "▁gateway", + -12.309490203857422 + ], + [ + "▁ambitious", + -12.30952262878418 + ], + [ + "▁Wellness", + -12.30966567993164 + ], + [ + "30,000", + -12.30968189239502 + ], + [ + "defined", + -12.309929847717285 + ], + [ + "specializes", + -12.310121536254883 + ], + [ + "▁Chase", + -12.310199737548828 + ], + [ + "HF", + -12.310233116149902 + ], + [ + "ABLE", + -12.310348510742188 + ], + [ + "▁Ehr", + -12.310467720031738 + ], + [ + "▁régime", + -12.310480117797852 + ], + [ + "▁awake", + -12.310487747192383 + ], + [ + "▁seafood", + -12.310487747192383 + ], + [ + "leading", + -12.310554504394531 + ], + [ + "▁Rule", + -12.310602188110352 + ], + [ + "verkehr", + -12.310726165771484 + ], + [ + "erem", + -12.310737609863281 + ], + [ + "▁1973", + -12.310795783996582 + ], + [ + "personal", + -12.311171531677246 + ], + [ + "ența", + -12.311330795288086 + ], + [ + "apprend", + -12.311396598815918 + ], + [ + "faisant", + -12.311420440673828 + ], + [ + "▁Sounds", + -12.31151008605957 + ], + [ + "▁Launch", + -12.31151294708252 + ], + [ + "half", + -12.311636924743652 + ], + [ + "▁verre", + -12.311859130859375 + ], + [ + "▁Regular", + -12.31207275390625 + ], + [ + "▁Nancy", + -12.312142372131348 + ], + [ + "quelles", + -12.312161445617676 + ], + [ + "▁erhält", + -12.312169075012207 + ], + [ + "▁socks", + -12.3121919631958 + ], + [ + "lamp", + -12.312387466430664 + ], + [ + "▁durchgeführt", + -12.312472343444824 + ], + [ + "▁advertise", + -12.31260871887207 + ], + [ + "powered", + -12.312653541564941 + ], + [ + "▁concur", + -12.312699317932129 + ], + [ + "▁ressources", + -12.31293773651123 + ], + [ + "▁allocation", + -12.312986373901367 + ], + [ + "chon", + -12.313041687011719 + ], + [ + "▁Larry", + -12.313177108764648 + ], + [ + "lässig", + -12.313254356384277 + ], + [ + "OLD", + -12.313493728637695 + ], + [ + "itty", + -12.313599586486816 + ], + [ + "▁immuno", + -12.313645362854004 + ], + [ + "▁(+", + -12.313651084899902 + ], + [ + "▁Essential", + -12.313674926757812 + ], + [ + "▁semaines", + -12.313719749450684 + ], + [ + "Ru", + -12.31375503540039 + ], + [ + "▁Gear", + -12.313764572143555 + ], + [ + "völlig", + -12.313850402832031 + ], + [ + "liga", + -12.31391716003418 + ], + [ + "▁Neg", + -12.314082145690918 + ], + [ + "▁gratitude", + -12.31408977508545 + ], + [ + "aventure", + -12.314108848571777 + ], + [ + "▁frustrated", + -12.314115524291992 + ], + [ + "▁retrait", + -12.31422233581543 + ], + [ + "▁statut", + -12.314231872558594 + ], + [ + "550", + -12.31434440612793 + ], + [ + "ла", + -12.314428329467773 + ], + [ + "risto", + -12.314448356628418 + ], + [ + "WAY", + -12.314607620239258 + ], + [ + "▁pigment", + -12.314652442932129 + ], + [ + "Selon", + -12.314715385437012 + ], + [ + "stil", + -12.3148775100708 + ], + [ + "▁Marin", + -12.315055847167969 + ], + [ + "ashi", + -12.315085411071777 + ], + [ + "▁contine", + -12.31519889831543 + ], + [ + "▁Economics", + -12.315200805664062 + ], + [ + "both", + -12.3152437210083 + ], + [ + "▁Dou", + -12.31527328491211 + ], + [ + "Fel", + -12.315373420715332 + ], + [ + "UNT", + -12.315434455871582 + ], + [ + "▁grandmother", + -12.31548023223877 + ], + [ + "▁domicile", + -12.315678596496582 + ], + [ + "▁buffer", + -12.31574535369873 + ], + [ + "▁fuse", + -12.315815925598145 + ], + [ + "▁dosage", + -12.315821647644043 + ], + [ + "▁Nici", + -12.315839767456055 + ], + [ + "▁worries", + -12.315908432006836 + ], + [ + "▁Rail", + -12.3159818649292 + ], + [ + "uneori", + -12.315990447998047 + ], + [ + "▁Sierra", + -12.316030502319336 + ], + [ + "▁porni", + -12.316032409667969 + ], + [ + "▁NOTE", + -12.316056251525879 + ], + [ + "▁tendency", + -12.316065788269043 + ], + [ + "Set", + -12.316256523132324 + ], + [ + "▁Hof", + -12.31629753112793 + ], + [ + "▁Ruhe", + -12.316300392150879 + ], + [ + "harm", + -12.316360473632812 + ], + [ + "▁Developer", + -12.316367149353027 + ], + [ + "suing", + -12.316400527954102 + ], + [ + "persönlichen", + -12.31658935546875 + ], + [ + "▁agréable", + -12.316596031188965 + ], + [ + "commissioned", + -12.316696166992188 + ], + [ + "▁1974", + -12.31672191619873 + ], + [ + "▁1969", + -12.316758155822754 + ], + [ + "▁regl", + -12.316996574401855 + ], + [ + "▁terror", + -12.317042350769043 + ], + [ + "▁température", + -12.317051887512207 + ], + [ + "▁Archiv", + -12.31706714630127 + ], + [ + "▁Military", + -12.317140579223633 + ], + [ + "▁König", + -12.317290306091309 + ], + [ + "▁forex", + -12.31737232208252 + ], + [ + "wiki", + -12.31745719909668 + ], + [ + "thetic", + -12.317506790161133 + ], + [ + "alaturi", + -12.317974090576172 + ], + [ + "▁montant", + -12.3179931640625 + ], + [ + "▁maladie", + -12.318044662475586 + ], + [ + "gust", + -12.318151473999023 + ], + [ + "▁demander", + -12.318164825439453 + ], + [ + "avocat", + -12.318191528320312 + ], + [ + "▁sci", + -12.318192481994629 + ], + [ + "▁Wireless", + -12.318214416503906 + ], + [ + "▁Dein", + -12.318220138549805 + ], + [ + "▁trio", + -12.3183012008667 + ], + [ + "▁Same", + -12.318395614624023 + ], + [ + "Datei", + -12.318464279174805 + ], + [ + "▁alerg", + -12.318578720092773 + ], + [ + "crowded", + -12.318657875061035 + ], + [ + "▁Punkt", + -12.318853378295898 + ], + [ + "▁sanctions", + -12.318864822387695 + ], + [ + "stating", + -12.318922996520996 + ], + [ + "▁discusse", + -12.318949699401855 + ], + [ + "▁Eigen", + -12.319068908691406 + ], + [ + "▁sănătate", + -12.31911563873291 + ], + [ + "▁correspondence", + -12.319211959838867 + ], + [ + "cred", + -12.319331169128418 + ], + [ + "VG", + -12.319347381591797 + ], + [ + "▁différence", + -12.319347381591797 + ], + [ + "▁Montreal", + -12.319391250610352 + ], + [ + "▁masini", + -12.319398880004883 + ], + [ + "iata", + -12.319487571716309 + ], + [ + "▁sampling", + -12.319574356079102 + ], + [ + "▁Gib", + -12.319831848144531 + ], + [ + "▁sheer", + -12.319944381713867 + ], + [ + "330", + -12.319947242736816 + ], + [ + "CHI", + -12.319990158081055 + ], + [ + "▁damn", + -12.320030212402344 + ], + [ + "▁Advisor", + -12.320201873779297 + ], + [ + "Typically", + -12.320302963256836 + ], + [ + "ssé", + -12.320352554321289 + ], + [ + "quart", + -12.320361137390137 + ], + [ + "chete", + -12.320385932922363 + ], + [ + "▁Puerto", + -12.32049560546875 + ], + [ + "2-1", + -12.32050609588623 + ], + [ + "NN", + -12.320674896240234 + ], + [ + "▁styling", + -12.320707321166992 + ], + [ + "rud", + -12.320777893066406 + ], + [ + "од", + -12.320856094360352 + ], + [ + "▁Hydro", + -12.320941925048828 + ], + [ + "▁Cable", + -12.320961952209473 + ], + [ + "video", + -12.320974349975586 + ], + [ + "▁Wirkung", + -12.321194648742676 + ], + [ + "▁noble", + -12.321270942687988 + ], + [ + "▁Sonder", + -12.32129192352295 + ], + [ + "mati", + -12.321317672729492 + ], + [ + "850", + -12.321395874023438 + ], + [ + "▁Richmond", + -12.32143497467041 + ], + [ + "▁niciodată", + -12.321442604064941 + ], + [ + "AO", + -12.321527481079102 + ], + [ + "▁altered", + -12.321648597717285 + ], + [ + "▁(15", + -12.32168960571289 + ], + [ + "▁Motiv", + -12.322052001953125 + ], + [ + "AKE", + -12.322089195251465 + ], + [ + "▁bestimmte", + -12.322172164916992 + ], + [ + "6.5", + -12.322176933288574 + ], + [ + "hectare", + -12.322333335876465 + ], + [ + "atorită", + -12.322335243225098 + ], + [ + "▁phases", + -12.322447776794434 + ], + [ + "▁Nova", + -12.322566032409668 + ], + [ + "ordinateur", + -12.322579383850098 + ], + [ + "▁corrupt", + -12.322813034057617 + ], + [ + "error", + -12.322895050048828 + ], + [ + "▁attacked", + -12.323005676269531 + ], + [ + "▁Kirche", + -12.323019981384277 + ], + [ + "heir", + -12.323040962219238 + ], + [ + "Das", + -12.323254585266113 + ], + [ + "▁anxious", + -12.323258399963379 + ], + [ + "▁Doc", + -12.323386192321777 + ], + [ + "▁Roth", + -12.323415756225586 + ], + [ + "▁Cine", + -12.32388687133789 + ], + [ + "▁auditor", + -12.324418067932129 + ], + [ + "▁beverage", + -12.324586868286133 + ], + [ + "▁précédent", + -12.324637413024902 + ], + [ + "▁deploy", + -12.324837684631348 + ], + [ + "▁accessibility", + -12.324843406677246 + ], + [ + "▁cage", + -12.324885368347168 + ], + [ + "▁Contra", + -12.324934005737305 + ], + [ + "Best", + -12.324952125549316 + ], + [ + "iji", + -12.324972152709961 + ], + [ + "▁père", + -12.325060844421387 + ], + [ + "▁scenic", + -12.32511043548584 + ], + [ + "synthesis", + -12.325165748596191 + ], + [ + "ßen", + -12.32534408569336 + ], + [ + "▁Videos", + -12.325482368469238 + ], + [ + "▁refus", + -12.325484275817871 + ], + [ + "stimmen", + -12.3255615234375 + ], + [ + "▁sleek", + -12.325577735900879 + ], + [ + "artige", + -12.32563591003418 + ], + [ + "mari", + -12.32568359375 + ], + [ + "▁excelent", + -12.325740814208984 + ], + [ + "▁negativ", + -12.325806617736816 + ], + [ + "▁blocking", + -12.32590103149414 + ], + [ + "spricht", + -12.326001167297363 + ], + [ + "▁discomfort", + -12.32602310180664 + ], + [ + "▁stratégie", + -12.32602310180664 + ], + [ + "▁Datenschutz", + -12.326078414916992 + ], + [ + "curg", + -12.326128005981445 + ], + [ + "▁lapte", + -12.326432228088379 + ], + [ + "▁acasă", + -12.326491355895996 + ], + [ + "▁ausschließlich", + -12.32653522491455 + ], + [ + "▁unbedingt", + -12.326802253723145 + ], + [ + "▁Linie", + -12.32689380645752 + ], + [ + "▁subscribers", + -12.327019691467285 + ], + [ + "109", + -12.32702350616455 + ], + [ + "▁Waste", + -12.32712173461914 + ], + [ + "▁Planung", + -12.327231407165527 + ], + [ + "▁visually", + -12.32734489440918 + ], + [ + "utilizarea", + -12.327370643615723 + ], + [ + "uba", + -12.327381134033203 + ], + [ + "▁fifteen", + -12.327411651611328 + ], + [ + "▁légère", + -12.327411651611328 + ], + [ + "ința", + -12.327446937561035 + ], + [ + "▁tolerance", + -12.327460289001465 + ], + [ + "▁piscine", + -12.327536582946777 + ], + [ + "▁nails", + -12.327569007873535 + ], + [ + "▁accus", + -12.327693939208984 + ], + [ + "▁coeur", + -12.327773094177246 + ], + [ + "freie", + -12.327849388122559 + ], + [ + "enţă", + -12.32812213897705 + ], + [ + "▁glucose", + -12.328336715698242 + ], + [ + "▁Jar", + -12.32838249206543 + ], + [ + "▁commencer", + -12.328387260437012 + ], + [ + "▁eliminating", + -12.328414916992188 + ], + [ + "▁mutation", + -12.32844352722168 + ], + [ + "▁afirma", + -12.328444480895996 + ], + [ + "▁Consulting", + -12.328454971313477 + ], + [ + "adia", + -12.328543663024902 + ], + [ + "zog", + -12.328604698181152 + ], + [ + "▁pielea", + -12.328658103942871 + ], + [ + "rton", + -12.328706741333008 + ], + [ + "exercice", + -12.3287935256958 + ], + [ + "namely", + -12.328847885131836 + ], + [ + "▁ajutor", + -12.3289155960083 + ], + [ + "▁markers", + -12.328917503356934 + ], + [ + "▁gardening", + -12.328932762145996 + ], + [ + "Karte", + -12.329038619995117 + ], + [ + "▁Pump", + -12.329142570495605 + ], + [ + "▁Dual", + -12.329169273376465 + ], + [ + "▁pratiques", + -12.329349517822266 + ], + [ + "▁behavioral", + -12.329358100891113 + ], + [ + "▁construire", + -12.329511642456055 + ], + [ + "▁Leonard", + -12.329596519470215 + ], + [ + "ediglich", + -12.329630851745605 + ], + [ + "ubbed", + -12.3297758102417 + ], + [ + "NK", + -12.329792022705078 + ], + [ + "shell", + -12.329912185668945 + ], + [ + "▁persönliche", + -12.329996109008789 + ], + [ + "ecuring", + -12.329998970031738 + ], + [ + "beaten", + -12.33000373840332 + ], + [ + "ALE", + -12.330053329467773 + ], + [ + "▁puppy", + -12.33023452758789 + ], + [ + "▁capac", + -12.33027458190918 + ], + [ + "▁seventh", + -12.330394744873047 + ], + [ + "▁nursery", + -12.330400466918945 + ], + [ + "▁Rum", + -12.330419540405273 + ], + [ + "▁exquisite", + -12.330423355102539 + ], + [ + "▁Legi", + -12.330483436584473 + ], + [ + "▁persist", + -12.330497741699219 + ], + [ + "bacterial", + -12.330548286437988 + ], + [ + "▁cereal", + -12.330572128295898 + ], + [ + "▁principe", + -12.330693244934082 + ], + [ + "chip", + -12.330766677856445 + ], + [ + "rush", + -12.330832481384277 + ], + [ + "▁funnel", + -12.330904006958008 + ], + [ + "▁calitatea", + -12.331024169921875 + ], + [ + "ibă", + -12.33104419708252 + ], + [ + "▁reign", + -12.331086158752441 + ], + [ + "▁congregation", + -12.331120491027832 + ], + [ + "▁obtine", + -12.331270217895508 + ], + [ + "▁découverte", + -12.331286430358887 + ], + [ + "▁gama", + -12.331315040588379 + ], + [ + "▁judec", + -12.33132553100586 + ], + [ + "Plan", + -12.331351280212402 + ], + [ + "▁gesture", + -12.331539154052734 + ], + [ + "öffentlichen", + -12.331644058227539 + ], + [ + "▁imported", + -12.331693649291992 + ], + [ + "▁rotate", + -12.331747055053711 + ], + [ + "blown", + -12.331756591796875 + ], + [ + "▁Protein", + -12.331827163696289 + ], + [ + "parfaitement", + -12.331832885742188 + ], + [ + "ondo", + -12.331868171691895 + ], + [ + "ologists", + -12.331890106201172 + ], + [ + "▁neighborhoods", + -12.331989288330078 + ], + [ + "▁Pope", + -12.33202075958252 + ], + [ + "▁museums", + -12.332194328308105 + ], + [ + "▁porter", + -12.332330703735352 + ], + [ + "▁kiss", + -12.332335472106934 + ], + [ + "pdf", + -12.332354545593262 + ], + [ + "sided", + -12.332359313964844 + ], + [ + "▁gern", + -12.332395553588867 + ], + [ + "bedingungen", + -12.332496643066406 + ], + [ + "▁Ride", + -12.332582473754883 + ], + [ + "Apoi", + -12.332584381103516 + ], + [ + "▁bestehen", + -12.332603454589844 + ], + [ + "5\"", + -12.33285903930664 + ], + [ + "bob", + -12.332862854003906 + ], + [ + "ficient", + -12.33303165435791 + ], + [ + "premise", + -12.333086967468262 + ], + [ + "▁Clip", + -12.333112716674805 + ], + [ + "▁concours", + -12.333213806152344 + ], + [ + "olar", + -12.333281517028809 + ], + [ + "▁Centr", + -12.333356857299805 + ], + [ + "outlined", + -12.333429336547852 + ], + [ + "▁observa", + -12.333511352539062 + ], + [ + "▁negotiate", + -12.333537101745605 + ], + [ + "▁Partnership", + -12.33358383178711 + ], + [ + "clock", + -12.333662033081055 + ], + [ + "roasted", + -12.333755493164062 + ], + [ + "Pourquoi", + -12.33391284942627 + ], + [ + "▁Marshall", + -12.334005355834961 + ], + [ + "▁Gerade", + -12.334052085876465 + ], + [ + "▁pachet", + -12.334160804748535 + ], + [ + "▁preliminary", + -12.334162712097168 + ], + [ + "▁tragic", + -12.334200859069824 + ], + [ + "author", + -12.334268569946289 + ], + [ + "▁Gov", + -12.334309577941895 + ], + [ + "▁comunic", + -12.334403991699219 + ], + [ + "▁coordinator", + -12.334410667419434 + ], + [ + "YA", + -12.33445930480957 + ], + [ + "▁Steam", + -12.33476734161377 + ], + [ + "▁Nag", + -12.334796905517578 + ], + [ + "▁Kara", + -12.334851264953613 + ], + [ + "▁Gang", + -12.334858894348145 + ], + [ + "aurez", + -12.334868431091309 + ], + [ + "▁horrible", + -12.334869384765625 + ], + [ + "▁Luxury", + -12.335076332092285 + ], + [ + "▁encouragement", + -12.335169792175293 + ], + [ + "▁conceptual", + -12.335250854492188 + ], + [ + "▁constituent", + -12.335431098937988 + ], + [ + "nvelop", + -12.335494041442871 + ], + [ + "ucc", + -12.335500717163086 + ], + [ + "▁conçu", + -12.335542678833008 + ], + [ + "pfel", + -12.33559513092041 + ], + [ + "special", + -12.335700988769531 + ], + [ + "▁Growth", + -12.335834503173828 + ], + [ + "cada", + -12.335916519165039 + ], + [ + "▁oamenilor", + -12.335976600646973 + ], + [ + "▁vendredi", + -12.336021423339844 + ], + [ + "▁coupe", + -12.336055755615234 + ], + [ + "▁Danke", + -12.336134910583496 + ], + [ + "reflects", + -12.336181640625 + ], + [ + "▁girlfriend", + -12.336273193359375 + ], + [ + "▁diffuse", + -12.336325645446777 + ], + [ + "HER", + -12.336328506469727 + ], + [ + "storing", + -12.336464881896973 + ], + [ + "ailing", + -12.336591720581055 + ], + [ + "▁Desi", + -12.336601257324219 + ], + [ + "stitution", + -12.336832046508789 + ], + [ + "▁adun", + -12.336844444274902 + ], + [ + "▁Partie", + -12.336869239807129 + ], + [ + "▁tissues", + -12.336958885192871 + ], + [ + "▁discovering", + -12.337154388427734 + ], + [ + "Jacques", + -12.337178230285645 + ], + [ + "lungs", + -12.33724594116211 + ], + [ + "▁Handy", + -12.337261199951172 + ], + [ + "centric", + -12.337285995483398 + ], + [ + "slav", + -12.337442398071289 + ], + [ + "▁sights", + -12.337560653686523 + ], + [ + "▁Category", + -12.337644577026367 + ], + [ + "▁Einrichtung", + -12.337957382202148 + ], + [ + "▁Robinson", + -12.33804702758789 + ], + [ + "▁Terra", + -12.338150978088379 + ], + [ + "▁creep", + -12.338167190551758 + ], + [ + "▁Lob", + -12.338184356689453 + ], + [ + "001", + -12.33820629119873 + ], + [ + "kop", + -12.338208198547363 + ], + [ + "Emb", + -12.338292121887207 + ], + [ + "▁forgive", + -12.338391304016113 + ], + [ + "▁icons", + -12.33847427368164 + ], + [ + "electric", + -12.3385009765625 + ], + [ + "▁faucet", + -12.338516235351562 + ], + [ + "▁invisible", + -12.3386812210083 + ], + [ + "sprach", + -12.338801383972168 + ], + [ + "▁beachten", + -12.33881664276123 + ], + [ + "rahm", + -12.338833808898926 + ], + [ + "▁Teacher", + -12.338919639587402 + ], + [ + "Fab", + -12.339070320129395 + ], + [ + "▁joue", + -12.339101791381836 + ], + [ + "▁Popular", + -12.339120864868164 + ], + [ + "▁Februar", + -12.339171409606934 + ], + [ + "sound", + -12.339251518249512 + ], + [ + "▁(0", + -12.339317321777344 + ], + [ + "▁Compare", + -12.33938980102539 + ], + [ + "▁pads", + -12.339455604553223 + ], + [ + "270", + -12.339498519897461 + ], + [ + "ousse", + -12.339548110961914 + ], + [ + "▁UAE", + -12.339786529541016 + ], + [ + "izări", + -12.339787483215332 + ], + [ + "▁bonuses", + -12.33993911743164 + ], + [ + "▁switches", + -12.3400239944458 + ], + [ + "▁Brothers", + -12.340166091918945 + ], + [ + "▁environmentally", + -12.340171813964844 + ], + [ + "vista", + -12.340264320373535 + ], + [ + "▁intentions", + -12.3402738571167 + ], + [ + "▁Terri", + -12.340301513671875 + ], + [ + "▁diabet", + -12.34030532836914 + ], + [ + "▁prese", + -12.340333938598633 + ], + [ + "▁parcurs", + -12.340389251708984 + ], + [ + "Warum", + -12.340449333190918 + ], + [ + "▁credentials", + -12.340455055236816 + ], + [ + "▁PLA", + -12.34046459197998 + ], + [ + "▁instruct", + -12.340470314025879 + ], + [ + "▁benefic", + -12.340633392333984 + ], + [ + "write", + -12.340675354003906 + ], + [ + "▁poids", + -12.340773582458496 + ], + [ + "▁Anspruch", + -12.340923309326172 + ], + [ + "▁avocado", + -12.340923309326172 + ], + [ + "▁inevitable", + -12.340923309326172 + ], + [ + "▁poorly", + -12.340950965881348 + ], + [ + "karte", + -12.340994834899902 + ], + [ + "▁Publishing", + -12.340999603271484 + ], + [ + "odată", + -12.341140747070312 + ], + [ + "▁scientifique", + -12.341157913208008 + ], + [ + "▁lăsa", + -12.341262817382812 + ], + [ + "▁secol", + -12.34131908416748 + ], + [ + "▁nevertheless", + -12.341392517089844 + ], + [ + "SAT", + -12.341597557067871 + ], + [ + "280", + -12.341651916503906 + ], + [ + "▁prevederi", + -12.341670989990234 + ], + [ + "▁chrome", + -12.342002868652344 + ], + [ + "institut", + -12.342267036437988 + ], + [ + "richtigen", + -12.34228515625 + ], + [ + "▁grief", + -12.342338562011719 + ], + [ + "▁penalties", + -12.342373847961426 + ], + [ + "▁Bayern", + -12.34238052368164 + ], + [ + "▁caramel", + -12.342473983764648 + ], + [ + "Now", + -12.342495918273926 + ], + [ + "Stiftung", + -12.342576026916504 + ], + [ + "country", + -12.342737197875977 + ], + [ + "dication", + -12.34278678894043 + ], + [ + "▁Chor", + -12.342801094055176 + ], + [ + "▁rămâne", + -12.342936515808105 + ], + [ + "▁TOP", + -12.34300708770752 + ], + [ + "▁complète", + -12.34301471710205 + ], + [ + "▁Marian", + -12.34302806854248 + ], + [ + "▁Avant", + -12.343121528625488 + ], + [ + "▁Shower", + -12.343156814575195 + ], + [ + "treu", + -12.34316349029541 + ], + [ + "▁chop", + -12.34321403503418 + ], + [ + "▁comfortably", + -12.343220710754395 + ], + [ + "▁autism", + -12.34323787689209 + ], + [ + "▁Sind", + -12.34328556060791 + ], + [ + "▁(20", + -12.343340873718262 + ], + [ + "▁Cinema", + -12.343414306640625 + ], + [ + "compania", + -12.343606948852539 + ], + [ + "▁Lex", + -12.343622207641602 + ], + [ + "▁Sofa", + -12.343716621398926 + ], + [ + "dru", + -12.343753814697266 + ], + [ + "▁verification", + -12.343770027160645 + ], + [ + "▁Immer", + -12.343825340270996 + ], + [ + "lomb", + -12.343829154968262 + ], + [ + "meric", + -12.34385871887207 + ], + [ + "▁slower", + -12.34398365020752 + ], + [ + "▁propag", + -12.344090461730957 + ], + [ + "Inter", + -12.344097137451172 + ], + [ + "selling", + -12.34418773651123 + ], + [ + "▁Bright", + -12.344269752502441 + ], + [ + "condition", + -12.344280242919922 + ], + [ + "PDF", + -12.344291687011719 + ], + [ + "oyez", + -12.344391822814941 + ], + [ + "▁Fried", + -12.344420433044434 + ], + [ + "▁Nazi", + -12.34443187713623 + ], + [ + "▁Buffalo", + -12.344447135925293 + ], + [ + "▁Sue", + -12.344449043273926 + ], + [ + "▁Rhein", + -12.34468936920166 + ], + [ + "▁Klaus", + -12.344889640808105 + ], + [ + "▁indiqu", + -12.344963073730469 + ], + [ + "echte", + -12.344996452331543 + ], + [ + "▁frecvent", + -12.345165252685547 + ], + [ + "▁conveniently", + -12.345187187194824 + ], + [ + "▁Moi", + -12.345197677612305 + ], + [ + "▁greenhouse", + -12.345220565795898 + ], + [ + "▁rédui", + -12.34524154663086 + ], + [ + "▁lengthy", + -12.34542179107666 + ], + [ + "verband", + -12.345534324645996 + ], + [ + "inţă", + -12.345622062683105 + ], + [ + "▁rigorous", + -12.345625877380371 + ], + [ + "▁Finish", + -12.34580135345459 + ], + [ + "▁FBI", + -12.346052169799805 + ], + [ + "cultura", + -12.346083641052246 + ], + [ + "▁compartment", + -12.346110343933105 + ], + [ + "▁pretend", + -12.346117973327637 + ], + [ + "▁assembled", + -12.346212387084961 + ], + [ + "▁Nie", + -12.34639835357666 + ], + [ + "fession", + -12.34640884399414 + ], + [ + "▁£2", + -12.34642219543457 + ], + [ + "algré", + -12.3468017578125 + ], + [ + "▁anterior", + -12.346817970275879 + ], + [ + "▁Wissenschaft", + -12.34683609008789 + ], + [ + "▁Harbor", + -12.346923828125 + ], + [ + "lix", + -12.346985816955566 + ], + [ + "=\"", + -12.347049713134766 + ], + [ + "▁breathtaking", + -12.34705638885498 + ], + [ + "▁Stern", + -12.34708309173584 + ], + [ + "▁Internetseite", + -12.347132682800293 + ], + [ + "▁locker", + -12.347216606140137 + ], + [ + "▁feather", + -12.34726619720459 + ], + [ + "Serv", + -12.347297668457031 + ], + [ + "▁snake", + -12.347332000732422 + ], + [ + "▁Border", + -12.347396850585938 + ], + [ + "▁undergo", + -12.347518920898438 + ], + [ + "▁petrol", + -12.347558975219727 + ], + [ + "▁dealership", + -12.3475923538208 + ], + [ + "▁commander", + -12.347596168518066 + ], + [ + "▁Monate", + -12.347599983215332 + ], + [ + "▁Guardian", + -12.347665786743164 + ], + [ + "▁Todd", + -12.347774505615234 + ], + [ + "Ann", + -12.347825050354004 + ], + [ + "ibilité", + -12.347918510437012 + ], + [ + "▁Quarter", + -12.347987174987793 + ], + [ + "▁portray", + -12.348097801208496 + ], + [ + "▁Tai", + -12.34813404083252 + ], + [ + "▁strikes", + -12.348224639892578 + ], + [ + "illage", + -12.348381042480469 + ], + [ + "▁IRS", + -12.348417282104492 + ], + [ + "▁lupta", + -12.348455429077148 + ], + [ + "▁Sper", + -12.348493576049805 + ], + [ + "PRO", + -12.348530769348145 + ], + [ + "▁Export", + -12.348549842834473 + ], + [ + "▁crypto", + -12.348587989807129 + ], + [ + "▁barbecue", + -12.348692893981934 + ], + [ + "▁portions", + -12.348787307739258 + ], + [ + "▁explicit", + -12.348793983459473 + ], + [ + "▁angenehm", + -12.348834037780762 + ], + [ + "▁marathon", + -12.348946571350098 + ], + [ + "▁apartament", + -12.348982810974121 + ], + [ + "▁Eva", + -12.349079132080078 + ], + [ + "plate", + -12.349181175231934 + ], + [ + "viel", + -12.34925365447998 + ], + [ + "FIN", + -12.34926986694336 + ], + [ + "dependent", + -12.34935188293457 + ], + [ + "▁cercet", + -12.34942626953125 + ], + [ + "▁midnight", + -12.349499702453613 + ], + [ + "copie", + -12.349563598632812 + ], + [ + "▁companii", + -12.349621772766113 + ], + [ + "▁tenu", + -12.349660873413086 + ], + [ + "1/2", + -12.349662780761719 + ], + [ + "2.4", + -12.349693298339844 + ], + [ + "abri", + -12.349699974060059 + ], + [ + "▁warn", + -12.34980297088623 + ], + [ + "▁luggage", + -12.349875450134277 + ], + [ + "numarul", + -12.349968910217285 + ], + [ + "▁contour", + -12.350014686584473 + ], + [ + "▁Ghost", + -12.350016593933105 + ], + [ + "Angaben", + -12.35012435913086 + ], + [ + "▁unemployment", + -12.350296020507812 + ], + [ + "▁rău", + -12.350380897521973 + ], + [ + "▁dispatch", + -12.350445747375488 + ], + [ + "investissement", + -12.350547790527344 + ], + [ + "▁passt", + -12.35057258605957 + ], + [ + "▁Germania", + -12.350578308105469 + ], + [ + "▁webpage", + -12.350651741027832 + ], + [ + "▁reservations", + -12.350688934326172 + ], + [ + "▁Kai", + -12.350743293762207 + ], + [ + "▁Cav", + -12.350890159606934 + ], + [ + "▁Patient", + -12.351109504699707 + ], + [ + "ер", + -12.351213455200195 + ], + [ + "▁Belle", + -12.351236343383789 + ], + [ + "▁Nashville", + -12.351296424865723 + ], + [ + "▁Talent", + -12.351332664489746 + ], + [ + "ouvrage", + -12.351364135742188 + ], + [ + "▁bekommt", + -12.351365089416504 + ], + [ + "USA", + -12.351430892944336 + ], + [ + "CES", + -12.351432800292969 + ], + [ + "▁Peru", + -12.351499557495117 + ], + [ + "▁erkennen", + -12.35153579711914 + ], + [ + "prinde", + -12.351569175720215 + ], + [ + "▁constitution", + -12.351922035217285 + ], + [ + "itatile", + -12.351998329162598 + ], + [ + "bah", + -12.352147102355957 + ], + [ + "▁avail", + -12.352148056030273 + ], + [ + "▁disponibile", + -12.352149963378906 + ], + [ + "hér", + -12.352258682250977 + ], + [ + "ол", + -12.352411270141602 + ], + [ + "▁startups", + -12.352435111999512 + ], + [ + "▁carton", + -12.352485656738281 + ], + [ + "▁Newsletter", + -12.35251235961914 + ], + [ + "éti", + -12.352560997009277 + ], + [ + "▁investigating", + -12.352779388427734 + ], + [ + "itul", + -12.352925300598145 + ], + [ + "touch", + -12.352962493896484 + ], + [ + "Sport", + -12.353137016296387 + ], + [ + "AME", + -12.353203773498535 + ], + [ + "MIN", + -12.353222846984863 + ], + [ + "metry", + -12.353371620178223 + ], + [ + "icy", + -12.353492736816406 + ], + [ + "▁Luna", + -12.35351848602295 + ], + [ + "▁asthma", + -12.353614807128906 + ], + [ + "▁conduc", + -12.35365104675293 + ], + [ + "▁Ari", + -12.35369873046875 + ], + [ + "trust", + -12.353832244873047 + ], + [ + "▁defines", + -12.353894233703613 + ], + [ + "▁Blend", + -12.353927612304688 + ], + [ + "azo", + -12.353989601135254 + ], + [ + "▁sweep", + -12.354169845581055 + ], + [ + "lope", + -12.354331016540527 + ], + [ + "ţinut", + -12.35439682006836 + ], + [ + "WD", + -12.354503631591797 + ], + [ + "▁appetite", + -12.354619979858398 + ], + [ + "▁Seed", + -12.354753494262695 + ], + [ + "Friend", + -12.354854583740234 + ], + [ + "▁repet", + -12.354876518249512 + ], + [ + "▁throat", + -12.354936599731445 + ], + [ + "philosoph", + -12.355141639709473 + ], + [ + "▁connaître", + -12.355156898498535 + ], + [ + "▁Counter", + -12.355299949645996 + ], + [ + "▁Anforderungen", + -12.35533332824707 + ], + [ + "▁Polit", + -12.355363845825195 + ], + [ + "▁Weather", + -12.3554048538208 + ], + [ + "bow", + -12.355423927307129 + ], + [ + "▁recreation", + -12.355484008789062 + ], + [ + "▁culinary", + -12.355571746826172 + ], + [ + "▁plage", + -12.355609893798828 + ], + [ + "▁Cruz", + -12.355659484863281 + ], + [ + "▁equip", + -12.355668067932129 + ], + [ + "▁Recent", + -12.355697631835938 + ], + [ + "LED", + -12.355767250061035 + ], + [ + "▁steak", + -12.355772972106934 + ], + [ + "▁belly", + -12.355880737304688 + ], + [ + "photo", + -12.356130599975586 + ], + [ + "▁lakes", + -12.35623836517334 + ], + [ + "▁intact", + -12.356287956237793 + ], + [ + "▁spiral", + -12.356386184692383 + ], + [ + "▁Billy", + -12.356468200683594 + ], + [ + "▁Understanding", + -12.356534957885742 + ], + [ + "▁Lay", + -12.356558799743652 + ], + [ + "▁roster", + -12.356632232666016 + ], + [ + "▁admire", + -12.356647491455078 + ], + [ + "▁android", + -12.356732368469238 + ], + [ + "▁technician", + -12.356734275817871 + ], + [ + "gène", + -12.356818199157715 + ], + [ + "motiv", + -12.356954574584961 + ], + [ + "▁Boat", + -12.356988906860352 + ], + [ + "▁genießen", + -12.357000350952148 + ], + [ + "▁Geschmack", + -12.357001304626465 + ], + [ + "▁heroes", + -12.3570556640625 + ], + [ + "▁1800", + -12.357137680053711 + ], + [ + "numeroase", + -12.35776138305664 + ], + [ + "▁anschließend", + -12.357802391052246 + ], + [ + "▁Spur", + -12.357813835144043 + ], + [ + "▁clarify", + -12.35784912109375 + ], + [ + "▁warmer", + -12.357889175415039 + ], + [ + "▁Ranch", + -12.357955932617188 + ], + [ + "▁simti", + -12.358024597167969 + ], + [ + "Thank", + -12.35838508605957 + ], + [ + "▁freight", + -12.358434677124023 + ], + [ + "▁administrators", + -12.358453750610352 + ], + [ + "Reg", + -12.358588218688965 + ], + [ + "Această", + -12.358670234680176 + ], + [ + "▁legume", + -12.358741760253906 + ], + [ + "▁utilizare", + -12.358786582946777 + ], + [ + "CON", + -12.358904838562012 + ], + [ + "urgi", + -12.358917236328125 + ], + [ + "▁Gesicht", + -12.358920097351074 + ], + [ + "▁counselor", + -12.358954429626465 + ], + [ + "▁mondiale", + -12.359009742736816 + ], + [ + "helm", + -12.359137535095215 + ], + [ + "▁Promo", + -12.359156608581543 + ], + [ + "▁Schweiz", + -12.35917854309082 + ], + [ + "Ich", + -12.35929012298584 + ], + [ + "▁intalni", + -12.359295845031738 + ], + [ + "▁Bloom", + -12.359318733215332 + ], + [ + "▁Score", + -12.359362602233887 + ], + [ + "▁Fruit", + -12.35944652557373 + ], + [ + "▁constraints", + -12.359447479248047 + ], + [ + "▁farmer", + -12.359745979309082 + ], + [ + "▁précise", + -12.359807014465332 + ], + [ + "evaluating", + -12.359868049621582 + ], + [ + "▁Period", + -12.359891891479492 + ], + [ + "byte", + -12.359893798828125 + ], + [ + "wah", + -12.360025405883789 + ], + [ + "Mac", + -12.360123634338379 + ], + [ + "iron", + -12.360197067260742 + ], + [ + "′", + -12.360337257385254 + ], + [ + "▁tehnic", + -12.360539436340332 + ], + [ + "▁legat", + -12.36054515838623 + ], + [ + "▁Pilot", + -12.360574722290039 + ], + [ + "▁Carpet", + -12.36064624786377 + ], + [ + "TEN", + -12.360812187194824 + ], + [ + "▁shareholders", + -12.36082649230957 + ], + [ + "vină", + -12.360880851745605 + ], + [ + "▁parole", + -12.360939979553223 + ], + [ + "ătă", + -12.360984802246094 + ], + [ + "bbing", + -12.361000061035156 + ], + [ + "▁switched", + -12.361002922058105 + ], + [ + "▁Petro", + -12.361010551452637 + ], + [ + "▁Vertrags", + -12.36111831665039 + ], + [ + "cham", + -12.361178398132324 + ], + [ + "wang", + -12.361284255981445 + ], + [ + "▁Bean", + -12.36139965057373 + ], + [ + "minister", + -12.361442565917969 + ], + [ + "▁Wu", + -12.361522674560547 + ], + [ + "▁Olympics", + -12.361539840698242 + ], + [ + "tipul", + -12.361542701721191 + ], + [ + "▁Citi", + -12.36166763305664 + ], + [ + "▁Fold", + -12.361873626708984 + ], + [ + "▁Partei", + -12.361940383911133 + ], + [ + "▁centrale", + -12.361984252929688 + ], + [ + "île", + -12.362032890319824 + ], + [ + "pflicht", + -12.362175941467285 + ], + [ + "heli", + -12.362398147583008 + ], + [ + "▁erwartet", + -12.362414360046387 + ], + [ + "▁oferta", + -12.362458229064941 + ], + [ + "▁NHS", + -12.36246395111084 + ], + [ + "annon", + -12.362570762634277 + ], + [ + "▁Rud", + -12.362701416015625 + ], + [ + "▁Stuttgart", + -12.362737655639648 + ], + [ + "▁rămas", + -12.362746238708496 + ], + [ + "▁eliminated", + -12.36275577545166 + ], + [ + "▁hiding", + -12.362797737121582 + ], + [ + "▁cadeau", + -12.362832069396973 + ], + [ + "▁mock", + -12.363115310668945 + ], + [ + "▁elder", + -12.363333702087402 + ], + [ + "▁Liz", + -12.363364219665527 + ], + [ + "aji", + -12.363544464111328 + ], + [ + "▁endlich", + -12.363653182983398 + ], + [ + "sufficient", + -12.363668441772461 + ], + [ + "▁zusätzliche", + -12.363712310791016 + ], + [ + "scient", + -12.363757133483887 + ], + [ + "▁Adjust", + -12.363883972167969 + ], + [ + "▁incentive", + -12.363945007324219 + ], + [ + "▁Papa", + -12.364012718200684 + ], + [ + "▁Pharma", + -12.364041328430176 + ], + [ + "▁conflicts", + -12.364107131958008 + ], + [ + "zählen", + -12.364113807678223 + ], + [ + "▁chien", + -12.364118576049805 + ], + [ + "KB", + -12.36413288116455 + ], + [ + "ultimi", + -12.364188194274902 + ], + [ + "▁Jul", + -12.36421012878418 + ], + [ + "▁Male", + -12.36422061920166 + ], + [ + "▁viewer", + -12.36427116394043 + ], + [ + "▁Sector", + -12.364328384399414 + ], + [ + "▁REAL", + -12.364344596862793 + ], + [ + "▁arbitr", + -12.36436939239502 + ], + [ + "resistant", + -12.364399909973145 + ], + [ + "▁Bristol", + -12.364423751831055 + ], + [ + "▁shy", + -12.364540100097656 + ], + [ + "SW", + -12.364593505859375 + ], + [ + "▁Kirk", + -12.36460018157959 + ], + [ + "centrul", + -12.364653587341309 + ], + [ + "▁Venezuela", + -12.364657402038574 + ], + [ + "▁communicating", + -12.364657402038574 + ], + [ + "▁Chemical", + -12.364663124084473 + ], + [ + "▁surprises", + -12.364843368530273 + ], + [ + "▁Jamie", + -12.364933967590332 + ], + [ + "▁Heavy", + -12.364965438842773 + ], + [ + "▁turnover", + -12.36498737335205 + ], + [ + "▁étudiants", + -12.365114212036133 + ], + [ + "welcher", + -12.365124702453613 + ], + [ + "▁preturi", + -12.365200996398926 + ], + [ + "▁Mono", + -12.365283966064453 + ], + [ + "▁paddle", + -12.365309715270996 + ], + [ + "▁accountability", + -12.365364074707031 + ], + [ + "OUS", + -12.365592956542969 + ], + [ + "▁marketers", + -12.365762710571289 + ], + [ + "fection", + -12.365900993347168 + ], + [ + "▁Outside", + -12.365921020507812 + ], + [ + "▁Jefferson", + -12.366114616394043 + ], + [ + "oaie", + -12.36617660522461 + ], + [ + "tenue", + -12.366275787353516 + ], + [ + "HU", + -12.366329193115234 + ], + [ + "Très", + -12.36639404296875 + ], + [ + "valoarea", + -12.36642837524414 + ], + [ + "103", + -12.366482734680176 + ], + [ + "▁Privacy", + -12.366580963134766 + ], + [ + "▁Leistungen", + -12.366598129272461 + ], + [ + "(3)", + -12.36662483215332 + ], + [ + "▁études", + -12.366734504699707 + ], + [ + "sko", + -12.366750717163086 + ], + [ + "drum", + -12.366822242736816 + ], + [ + "▁lamb", + -12.366842269897461 + ], + [ + "▁nicio", + -12.367094993591309 + ], + [ + "▁NATO", + -12.367104530334473 + ], + [ + "▁Freitag", + -12.367178916931152 + ], + [ + "▁precedent", + -12.367178916931152 + ], + [ + "▁partenaires", + -12.367202758789062 + ], + [ + "▁companiei", + -12.367234230041504 + ], + [ + "▁Plaza", + -12.367249488830566 + ], + [ + "▁disruption", + -12.367274284362793 + ], + [ + "▁violations", + -12.367338180541992 + ], + [ + "▁Reference", + -12.367446899414062 + ], + [ + "▁habitants", + -12.36770248413086 + ], + [ + "▁compost", + -12.36776351928711 + ], + [ + "▁citoyen", + -12.367785453796387 + ], + [ + "▁Historical", + -12.367857933044434 + ], + [ + "vollen", + -12.36793327331543 + ], + [ + "▁Eck", + -12.36815357208252 + ], + [ + "▁lumii", + -12.368180274963379 + ], + [ + "▁reusit", + -12.368278503417969 + ], + [ + "genic", + -12.368307113647461 + ], + [ + "Why", + -12.368436813354492 + ], + [ + "ASE", + -12.368474006652832 + ], + [ + "▁athlete", + -12.36854076385498 + ], + [ + "▁Spitze", + -12.368559837341309 + ], + [ + "▁schimbat", + -12.368566513061523 + ], + [ + "▁anonymous", + -12.368850708007812 + ], + [ + "jedes", + -12.368856430053711 + ], + [ + "exclu", + -12.368874549865723 + ], + [ + "factor", + -12.369199752807617 + ], + [ + "▁Dezember", + -12.369231224060059 + ], + [ + "▁scientist", + -12.369373321533203 + ], + [ + "▁likelihood", + -12.36947250366211 + ], + [ + "▁Rhode", + -12.369488716125488 + ], + [ + "▁Balance", + -12.369521141052246 + ], + [ + "istoria", + -12.36959457397461 + ], + [ + "▁Neil", + -12.369780540466309 + ], + [ + "▁bush", + -12.369919776916504 + ], + [ + "▁Ergebnisse", + -12.369935989379883 + ], + [ + "▁Sinn", + -12.369956016540527 + ], + [ + "▁spezielle", + -12.370128631591797 + ], + [ + "▁jucat", + -12.37015438079834 + ], + [ + "▁spite", + -12.370179176330566 + ], + [ + "▁Ultimate", + -12.370365142822266 + ], + [ + "▁fructe", + -12.370401382446289 + ], + [ + "▁asleep", + -12.370441436767578 + ], + [ + "▁Goal", + -12.370539665222168 + ], + [ + "▁PAR", + -12.370631217956543 + ], + [ + "▁rows", + -12.370705604553223 + ], + [ + "▁Fol", + -12.3709135055542 + ], + [ + "▁durata", + -12.370945930480957 + ], + [ + "▁traditionnel", + -12.37100887298584 + ], + [ + "▁tema", + -12.37122917175293 + ], + [ + "▁crédit", + -12.371232986450195 + ], + [ + "smallest", + -12.371358871459961 + ], + [ + "▁amino", + -12.371358871459961 + ], + [ + "▁elephant", + -12.371405601501465 + ], + [ + "▁tubes", + -12.371685028076172 + ], + [ + "▁Verwendung", + -12.371719360351562 + ], + [ + "▁Excellence", + -12.371889114379883 + ], + [ + "▁utilities", + -12.371962547302246 + ], + [ + "frau", + -12.372111320495605 + ], + [ + "▁poze", + -12.3721342086792 + ], + [ + "août", + -12.372307777404785 + ], + [ + "ango", + -12.372514724731445 + ], + [ + "give", + -12.372532844543457 + ], + [ + "▁appelé", + -12.372576713562012 + ], + [ + "▁yeast", + -12.372671127319336 + ], + [ + "▁enrollment", + -12.372676849365234 + ], + [ + "organiz", + -12.3727445602417 + ], + [ + "▁asociat", + -12.372753143310547 + ], + [ + "▁cattle", + -12.372772216796875 + ], + [ + "▁Solution", + -12.372798919677734 + ], + [ + "evoke", + -12.372807502746582 + ], + [ + "▁Hampshire", + -12.372857093811035 + ], + [ + "▁yeah", + -12.372878074645996 + ], + [ + "▁Argentina", + -12.372928619384766 + ], + [ + "▁abnormal", + -12.373022079467773 + ], + [ + "▁Heights", + -12.373082160949707 + ], + [ + "▁Mitchell", + -12.373099327087402 + ], + [ + "▁Quad", + -12.373350143432617 + ], + [ + "▁textures", + -12.373382568359375 + ], + [ + "▁coalition", + -12.373384475708008 + ], + [ + "▁dataset", + -12.37338924407959 + ], + [ + "World", + -12.373438835144043 + ], + [ + "ständ", + -12.373456001281738 + ], + [ + "▁groove", + -12.373476028442383 + ], + [ + "▁emotionally", + -12.373562812805176 + ], + [ + "▁preciz", + -12.373636245727539 + ], + [ + "kte", + -12.373741149902344 + ], + [ + "berechtigt", + -12.373828887939453 + ], + [ + "▁1971", + -12.373888969421387 + ], + [ + "grandes", + -12.373907089233398 + ], + [ + "▁Broadway", + -12.37391185760498 + ], + [ + "▁comunicat", + -12.373994827270508 + ], + [ + "nui", + -12.37402629852295 + ], + [ + "GER", + -12.374079704284668 + ], + [ + "pick", + -12.374125480651855 + ], + [ + "inscrit", + -12.37414264678955 + ], + [ + "▁Gross", + -12.374258995056152 + ], + [ + "▁McDonald", + -12.374310493469238 + ], + [ + "▁Zero", + -12.374330520629883 + ], + [ + "▁Halb", + -12.374341011047363 + ], + [ + "▁caractère", + -12.374553680419922 + ], + [ + "▁doctrine", + -12.374553680419922 + ], + [ + "▁Sinne", + -12.37458610534668 + ], + [ + "MLS", + -12.374594688415527 + ], + [ + "▁réel", + -12.374759674072266 + ], + [ + "▁Ful", + -12.37476921081543 + ], + [ + "limiting", + -12.37483024597168 + ], + [ + "▁Gan", + -12.374870300292969 + ], + [ + "▁exclude", + -12.37490463256836 + ], + [ + "imba", + -12.374974250793457 + ], + [ + "rolul", + -12.374991416931152 + ], + [ + "▁veggies", + -12.375059127807617 + ], + [ + "▁fasci", + -12.375092506408691 + ], + [ + "▁oval", + -12.375173568725586 + ], + [ + "▁contacter", + -12.375221252441406 + ], + [ + "▁linking", + -12.375279426574707 + ], + [ + "▁knit", + -12.375308990478516 + ], + [ + "▁enroll", + -12.375504493713379 + ], + [ + "▁dédié", + -12.375533103942871 + ], + [ + "▁renting", + -12.375541687011719 + ], + [ + "▁genera", + -12.37567138671875 + ], + [ + "citing", + -12.375691413879395 + ], + [ + "▁bend", + -12.375700950622559 + ], + [ + "guin", + -12.375752449035645 + ], + [ + "▁caregiver", + -12.375768661499023 + ], + [ + "▁könnt", + -12.375791549682617 + ], + [ + "▁Scripture", + -12.375795364379883 + ], + [ + "▁Mic", + -12.375899314880371 + ], + [ + "▁Denmark", + -12.37590217590332 + ], + [ + "▁qualifying", + -12.375917434692383 + ], + [ + "▁costumes", + -12.375958442687988 + ], + [ + "▁dwelling", + -12.37601375579834 + ], + [ + "▁recrut", + -12.376099586486816 + ], + [ + "▁bedding", + -12.37618637084961 + ], + [ + "gesprochen", + -12.376253128051758 + ], + [ + "▁editors", + -12.376386642456055 + ], + [ + "/12", + -12.37657642364502 + ], + [ + "▁cumparat", + -12.376583099365234 + ], + [ + "fiction", + -12.376730918884277 + ], + [ + "▁spinal", + -12.376740455627441 + ], + [ + "▁pathway", + -12.376799583435059 + ], + [ + "▁vârst", + -12.37683391571045 + ], + [ + "mba", + -12.376874923706055 + ], + [ + "▁enthusiastic", + -12.37692642211914 + ], + [ + "▁Watt", + -12.37697982788086 + ], + [ + "symptom", + -12.376992225646973 + ], + [ + "▁pup", + -12.37712287902832 + ], + [ + "▁glorious", + -12.377225875854492 + ], + [ + "▁fața", + -12.377228736877441 + ], + [ + "▁prohibited", + -12.377256393432617 + ], + [ + "vergleich", + -12.377286911010742 + ], + [ + "▁suspected", + -12.377334594726562 + ], + [ + "▁Railway", + -12.377381324768066 + ], + [ + "▁Aujourd", + -12.377469062805176 + ], + [ + "▁Patients", + -12.377476692199707 + ], + [ + "▁séance", + -12.377501487731934 + ], + [ + "▁contraire", + -12.377503395080566 + ], + [ + "▁cuvânt", + -12.37771224975586 + ], + [ + "▁trotzdem", + -12.37773609161377 + ], + [ + "émission", + -12.377795219421387 + ], + [ + "▁bore", + -12.37782096862793 + ], + [ + "▁safeguard", + -12.377851486206055 + ], + [ + "▁galleries", + -12.37820053100586 + ], + [ + "cron", + -12.378268241882324 + ], + [ + "▁Rica", + -12.378335952758789 + ], + [ + "fläche", + -12.37839126586914 + ], + [ + "▁Slow", + -12.37842082977295 + ], + [ + "▁vara", + -12.378549575805664 + ], + [ + "▁Swan", + -12.378564834594727 + ], + [ + "▁compounds", + -12.378564834594727 + ], + [ + "▁Slo", + -12.378621101379395 + ], + [ + "▁accommodations", + -12.378621101379395 + ], + [ + "▁Putin", + -12.378708839416504 + ], + [ + "▁undertaken", + -12.378767967224121 + ], + [ + "▁prépar", + -12.37879467010498 + ], + [ + "▁gandi", + -12.37881088256836 + ], + [ + "sediul", + -12.378924369812012 + ], + [ + "▁Nathan", + -12.379143714904785 + ], + [ + "▁fountain", + -12.379173278808594 + ], + [ + "▁mère", + -12.379194259643555 + ], + [ + "fatty", + -12.379201889038086 + ], + [ + "▁concentrated", + -12.379241943359375 + ], + [ + "richtung", + -12.379300117492676 + ], + [ + "▁appropriately", + -12.37955379486084 + ], + [ + "107", + -12.379631996154785 + ], + [ + "▁shark", + -12.379735946655273 + ], + [ + "▁Topic", + -12.379867553710938 + ], + [ + "▁Ausstellung", + -12.379880905151367 + ], + [ + "▁SUA", + -12.380267143249512 + ], + [ + "SER", + -12.380359649658203 + ], + [ + "▁Nicole", + -12.38039779663086 + ], + [ + "▁utilisateurs", + -12.380620956420898 + ], + [ + "▁Brazilian", + -12.380753517150879 + ], + [ + "▁continut", + -12.380865097045898 + ], + [ + "▁sanatate", + -12.380881309509277 + ], + [ + "faudra", + -12.380882263183594 + ], + [ + "nahm", + -12.380938529968262 + ], + [ + "▁Specific", + -12.381153106689453 + ], + [ + "aiba", + -12.381199836730957 + ], + [ + "cepând", + -12.381296157836914 + ], + [ + "▁Beer", + -12.381366729736328 + ], + [ + "roni", + -12.381616592407227 + ], + [ + "kay", + -12.381636619567871 + ], + [ + "▁gravity", + -12.381844520568848 + ], + [ + "▁verfügt", + -12.381856918334961 + ], + [ + "7:30", + -12.381878852844238 + ], + [ + "▁Players", + -12.381945610046387 + ], + [ + "▁Industries", + -12.38198184967041 + ], + [ + "punkte", + -12.382119178771973 + ], + [ + "▁yacht", + -12.382135391235352 + ], + [ + "-04", + -12.382149696350098 + ], + [ + "onné", + -12.382192611694336 + ], + [ + "▁Cards", + -12.382221221923828 + ], + [ + "▁fete", + -12.382420539855957 + ], + [ + "breaking", + -12.38257884979248 + ], + [ + "baum", + -12.382621765136719 + ], + [ + "nada", + -12.382651329040527 + ], + [ + "▁geplant", + -12.382750511169434 + ], + [ + "genuinely", + -12.382766723632812 + ], + [ + "talk", + -12.382871627807617 + ], + [ + "▁disadvantage", + -12.382920265197754 + ], + [ + "▁shutter", + -12.383003234863281 + ], + [ + "virus", + -12.38302230834961 + ], + [ + "▁cricket", + -12.38308048248291 + ], + [ + "▁comenzi", + -12.383102416992188 + ], + [ + "hier", + -12.383170127868652 + ], + [ + "▁aufzu", + -12.383198738098145 + ], + [ + "▁Rez", + -12.38321304321289 + ], + [ + "▁conclusions", + -12.383329391479492 + ], + [ + "▁Wang", + -12.383509635925293 + ], + [ + "Darüber", + -12.383524894714355 + ], + [ + "▁CSS", + -12.383573532104492 + ], + [ + "CW", + -12.383780479431152 + ], + [ + "▁Chr", + -12.383790969848633 + ], + [ + "▁traded", + -12.383843421936035 + ], + [ + "▁Schon", + -12.384265899658203 + ], + [ + "mped", + -12.38429069519043 + ], + [ + "▁alloy", + -12.384385108947754 + ], + [ + "AVE", + -12.38451099395752 + ], + [ + "▁imagery", + -12.384542465209961 + ], + [ + "▁resurse", + -12.38479995727539 + ], + [ + "▁Thunder", + -12.384834289550781 + ], + [ + "▁schimbare", + -12.384860038757324 + ], + [ + "▁Youtube", + -12.38499927520752 + ], + [ + "▁Monster", + -12.385189056396484 + ], + [ + "phil", + -12.385234832763672 + ], + [ + "▁bébé", + -12.385284423828125 + ], + [ + "Creating", + -12.385428428649902 + ], + [ + "ănă", + -12.385466575622559 + ], + [ + "▁Staat", + -12.385504722595215 + ], + [ + "adică", + -12.385531425476074 + ], + [ + "▁boyfriend", + -12.385552406311035 + ], + [ + "▁Winner", + -12.385594367980957 + ], + [ + "▁disputes", + -12.385653495788574 + ], + [ + "▁lush", + -12.3856840133667 + ], + [ + "▁CMS", + -12.385719299316406 + ], + [ + "▁locaux", + -12.385725021362305 + ], + [ + "▁Verfahren", + -12.38576889038086 + ], + [ + "▁Café", + -12.385786056518555 + ], + [ + "▁Vorstand", + -12.385870933532715 + ], + [ + "▁lucrat", + -12.385960578918457 + ], + [ + "▁Root", + -12.38602352142334 + ], + [ + "▁decis", + -12.386059761047363 + ], + [ + "▁Shadow", + -12.386062622070312 + ], + [ + "▁countryside", + -12.386067390441895 + ], + [ + "▁analiza", + -12.386114120483398 + ], + [ + "obos", + -12.38616943359375 + ], + [ + "opera", + -12.386175155639648 + ], + [ + "actu", + -12.386207580566406 + ], + [ + "▁Songs", + -12.3864164352417 + ], + [ + "reifen", + -12.38648509979248 + ], + [ + "▁hilft", + -12.386650085449219 + ], + [ + "region", + -12.386727333068848 + ], + [ + "▁categoria", + -12.387001991271973 + ], + [ + "capturing", + -12.38701343536377 + ], + [ + "▁1967", + -12.387025833129883 + ], + [ + "▁optimized", + -12.387032508850098 + ], + [ + "▁Dim", + -12.387353897094727 + ], + [ + "▁adapté", + -12.387447357177734 + ], + [ + "zeichnet", + -12.387524604797363 + ], + [ + "▁strada", + -12.387625694274902 + ], + [ + "fulness", + -12.38774585723877 + ], + [ + "▁technically", + -12.38774585723877 + ], + [ + "▁marker", + -12.387757301330566 + ], + [ + "▁vizita", + -12.387808799743652 + ], + [ + "▁imperative", + -12.387986183166504 + ], + [ + "▁pensé", + -12.38802719116211 + ], + [ + "▁drilling", + -12.388030052185059 + ], + [ + "ISA", + -12.38818073272705 + ], + [ + "▁Massage", + -12.388201713562012 + ], + [ + "▁Terry", + -12.388238906860352 + ], + [ + "▁pourtant", + -12.38835334777832 + ], + [ + "▁declaration", + -12.388440132141113 + ], + [ + "▁instructors", + -12.388453483581543 + ], + [ + "Eventually", + -12.38847827911377 + ], + [ + "▁banned", + -12.38847827911377 + ], + [ + "MAT", + -12.388520240783691 + ], + [ + "▁medici", + -12.38856315612793 + ], + [ + "▁Warm", + -12.388615608215332 + ], + [ + "▁trec", + -12.388731002807617 + ], + [ + "▁ecran", + -12.388763427734375 + ], + [ + "▁goat", + -12.388838768005371 + ], + [ + "▁manipulation", + -12.388850212097168 + ], + [ + "▁mayor", + -12.388898849487305 + ], + [ + "▁unterwegs", + -12.388975143432617 + ], + [ + "▁journals", + -12.3890380859375 + ], + [ + "▁hedge", + -12.389239311218262 + ], + [ + "Merc", + -12.389300346374512 + ], + [ + "▁joueurs", + -12.389411926269531 + ], + [ + "▁Religion", + -12.3894624710083 + ], + [ + "▁Mountains", + -12.389477729797363 + ], + [ + "▁renewed", + -12.389497756958008 + ], + [ + "▁Limit", + -12.389543533325195 + ], + [ + "ikea", + -12.389771461486816 + ], + [ + "▁utiliza", + -12.38977336883545 + ], + [ + "sogenannte", + -12.389808654785156 + ], + [ + "0.2", + -12.389836311340332 + ], + [ + "▁Organ", + -12.38987922668457 + ], + [ + "▁Shakespeare", + -12.389952659606934 + ], + [ + "▁Maintenance", + -12.38995361328125 + ], + [ + "▁Wärme", + -12.389954566955566 + ], + [ + "▁Northwest", + -12.390060424804688 + ], + [ + "▁numit", + -12.390106201171875 + ], + [ + "▁mica", + -12.390165328979492 + ], + [ + "turm", + -12.390168190002441 + ], + [ + "▁motivate", + -12.390250205993652 + ], + [ + "▁Staats", + -12.390355110168457 + ], + [ + "optimum", + -12.390487670898438 + ], + [ + "▁sortir", + -12.390546798706055 + ], + [ + "▁Asset", + -12.390555381774902 + ], + [ + "▁hervorragend", + -12.390692710876465 + ], + [ + "▁commentary", + -12.39071273803711 + ], + [ + "▁actuellement", + -12.390732765197754 + ], + [ + "NER", + -12.390765190124512 + ], + [ + "NL", + -12.390789985656738 + ], + [ + "ritt", + -12.390803337097168 + ], + [ + "▁Wirtschafts", + -12.390813827514648 + ], + [ + "träger", + -12.390840530395508 + ], + [ + "▁Versand", + -12.390870094299316 + ], + [ + "▁nostri", + -12.390953063964844 + ], + [ + "▁enorm", + -12.391227722167969 + ], + [ + "▁whale", + -12.391260147094727 + ], + [ + "▁Aufgabe", + -12.391277313232422 + ], + [ + "▁unfair", + -12.391291618347168 + ], + [ + "▁Cord", + -12.391315460205078 + ], + [ + "incorporating", + -12.39134693145752 + ], + [ + "luck", + -12.39157772064209 + ], + [ + "Afrique", + -12.39168643951416 + ], + [ + "▁coated", + -12.391857147216797 + ], + [ + "▁india", + -12.391908645629883 + ], + [ + "▁temporarily", + -12.39193058013916 + ], + [ + "▁ciuda", + -12.392097473144531 + ], + [ + "▁coral", + -12.392184257507324 + ], + [ + "▁wirkt", + -12.392203330993652 + ], + [ + "▁folding", + -12.392309188842773 + ], + [ + "wichtigsten", + -12.392398834228516 + ], + [ + "impacted", + -12.392422676086426 + ], + [ + "▁wählen", + -12.392423629760742 + ], + [ + "▁differentiate", + -12.392492294311523 + ], + [ + "▁froid", + -12.392544746398926 + ], + [ + "▁hug", + -12.39255142211914 + ], + [ + "▁construi", + -12.39255428314209 + ], + [ + "▁membru", + -12.392603874206543 + ], + [ + "▁masculin", + -12.392667770385742 + ], + [ + "partisan", + -12.392711639404297 + ], + [ + "▁schimba", + -12.392725944519043 + ], + [ + "▁economies", + -12.392827987670898 + ], + [ + "▁Abraham", + -12.392914772033691 + ], + [ + "wesen", + -12.393013954162598 + ], + [ + "enia", + -12.393026351928711 + ], + [ + "▁answering", + -12.393080711364746 + ], + [ + "▁activități", + -12.39309024810791 + ], + [ + "▁mémoire", + -12.393160820007324 + ], + [ + "▁versucht", + -12.393305778503418 + ], + [ + "ember", + -12.39333438873291 + ], + [ + "▁instala", + -12.39334774017334 + ], + [ + "▁eligibility", + -12.393407821655273 + ], + [ + "▁enjoyment", + -12.393409729003906 + ], + [ + "▁Arme", + -12.39350414276123 + ], + [ + "although", + -12.393534660339355 + ], + [ + "▁encompass", + -12.393596649169922 + ], + [ + "▁zufrieden", + -12.393658638000488 + ], + [ + "Script", + -12.393691062927246 + ], + [ + "KG", + -12.39385986328125 + ], + [ + "▁adhesive", + -12.393902778625488 + ], + [ + "▁Verkehrs", + -12.393908500671387 + ], + [ + "▁monitored", + -12.394103050231934 + ], + [ + "▁Conservation", + -12.394148826599121 + ], + [ + "hav", + -12.394156455993652 + ], + [ + "▁Above", + -12.394174575805664 + ], + [ + "▁Former", + -12.394241333007812 + ], + [ + "▁Certain", + -12.394250869750977 + ], + [ + "saving", + -12.394311904907227 + ], + [ + "▁Pun", + -12.394390106201172 + ], + [ + "▁awkward", + -12.394397735595703 + ], + [ + "▁Pretty", + -12.394410133361816 + ], + [ + "▁scanning", + -12.394417762756348 + ], + [ + "layer", + -12.394527435302734 + ], + [ + "motor", + -12.39453125 + ], + [ + "▁beginnt", + -12.39455795288086 + ], + [ + "▁affiliated", + -12.394681930541992 + ], + [ + "▁archives", + -12.394686698913574 + ], + [ + "▁sunshine", + -12.394892692565918 + ], + [ + "kha", + -12.394988059997559 + ], + [ + "▁investigated", + -12.395149230957031 + ], + [ + "▁fantas", + -12.395277976989746 + ], + [ + "▁united", + -12.395355224609375 + ], + [ + "allegedly", + -12.395373344421387 + ], + [ + "▁Eugen", + -12.3955078125 + ], + [ + "▁proprie", + -12.395843505859375 + ], + [ + "uca", + -12.396183013916016 + ], + [ + "DES", + -12.396187782287598 + ], + [ + "ştii", + -12.396190643310547 + ], + [ + "▁Running", + -12.39620590209961 + ], + [ + "lbstverständlich", + -12.396248817443848 + ], + [ + "index", + -12.396300315856934 + ], + [ + "▁studiu", + -12.396512031555176 + ], + [ + "URE", + -12.396553039550781 + ], + [ + "gültig", + -12.396627426147461 + ], + [ + "▁lundi", + -12.396649360656738 + ], + [ + "▁Zucker", + -12.396650314331055 + ], + [ + "▁positively", + -12.396721839904785 + ], + [ + "folgenden", + -12.396758079528809 + ], + [ + "anță", + -12.396800994873047 + ], + [ + "▁clan", + -12.396866798400879 + ], + [ + "▁literacy", + -12.396879196166992 + ], + [ + "▁ober", + -12.39699935913086 + ], + [ + "John", + -12.397003173828125 + ], + [ + "greg", + -12.39700984954834 + ], + [ + "▁titlu", + -12.397049903869629 + ], + [ + "▁ţări", + -12.39707088470459 + ], + [ + "Bra", + -12.397100448608398 + ], + [ + "▁Evans", + -12.397164344787598 + ], + [ + "modern", + -12.397172927856445 + ], + [ + "▁hauteur", + -12.397353172302246 + ], + [ + "refers", + -12.397416114807129 + ], + [ + "▁plasma", + -12.397575378417969 + ], + [ + "▁optic", + -12.397595405578613 + ], + [ + "▁shampoo", + -12.397619247436523 + ], + [ + "▁cheek", + -12.397727966308594 + ], + [ + "opted", + -12.397741317749023 + ], + [ + "▁persönlich", + -12.397832870483398 + ], + [ + "▁1945", + -12.398118019104004 + ], + [ + "ICI", + -12.398193359375 + ], + [ + "biotic", + -12.398222923278809 + ], + [ + "▁Beruf", + -12.398372650146484 + ], + [ + "▁trez", + -12.398383140563965 + ], + [ + "▁diploma", + -12.398388862609863 + ], + [ + "nahmen", + -12.398421287536621 + ], + [ + "▁curl", + -12.398625373840332 + ], + [ + "▁agricole", + -12.398824691772461 + ], + [ + "▁recomand", + -12.398844718933105 + ], + [ + "▁pediatric", + -12.398862838745117 + ], + [ + "Fiecare", + -12.39887523651123 + ], + [ + "Anlage", + -12.398906707763672 + ], + [ + "weiß", + -12.398974418640137 + ], + [ + "elecommunication", + -12.39898681640625 + ], + [ + "hog", + -12.399184226989746 + ], + [ + "▁Stamp", + -12.399364471435547 + ], + [ + "▁Tipp", + -12.399369239807129 + ], + [ + "▁kindness", + -12.399415969848633 + ], + [ + "▁Marina", + -12.399577140808105 + ], + [ + "▁Gleich", + -12.39963436126709 + ], + [ + "▁grij", + -12.39970588684082 + ], + [ + "▁desperate", + -12.39974594116211 + ], + [ + "▁recordings", + -12.399842262268066 + ], + [ + "▁neglect", + -12.399861335754395 + ], + [ + "▁inherent", + -12.400035858154297 + ], + [ + "▁Rezept", + -12.400138854980469 + ], + [ + "▁soins", + -12.400164604187012 + ], + [ + "▁brut", + -12.400250434875488 + ], + [ + "▁revolutionary", + -12.400495529174805 + ], + [ + "▁liberté", + -12.400530815124512 + ], + [ + "cours", + -12.400945663452148 + ], + [ + "▁Similar", + -12.401247024536133 + ], + [ + "▁cheveux", + -12.40136432647705 + ], + [ + "▁ieftin", + -12.401599884033203 + ], + [ + "▁promovare", + -12.40160846710205 + ], + [ + "▁grains", + -12.401729583740234 + ], + [ + "ти", + -12.401749610900879 + ], + [ + "▁fonctionnement", + -12.401789665222168 + ], + [ + "▁Coming", + -12.401832580566406 + ], + [ + "▁analytical", + -12.401847839355469 + ], + [ + "▁simplify", + -12.401856422424316 + ], + [ + "▁chambres", + -12.401893615722656 + ], + [ + "▁fifty", + -12.401930809020996 + ], + [ + "jour", + -12.402070999145508 + ], + [ + "▁(17", + -12.402194023132324 + ], + [ + "cărui", + -12.402292251586914 + ], + [ + "▁harmony", + -12.402352333068848 + ], + [ + "grin", + -12.402355194091797 + ], + [ + "▁drunk", + -12.402359962463379 + ], + [ + "260", + -12.402374267578125 + ], + [ + "3-5", + -12.40243148803711 + ], + [ + "▁articole", + -12.402442932128906 + ], + [ + "▁flooding", + -12.402482986450195 + ], + [ + "halle", + -12.402580261230469 + ], + [ + "▁defects", + -12.40276050567627 + ], + [ + "▁rifle", + -12.402839660644531 + ], + [ + "▁Boc", + -12.402843475341797 + ], + [ + "▁Athletic", + -12.40284538269043 + ], + [ + "▁acordat", + -12.40292739868164 + ], + [ + "AIR", + -12.402969360351562 + ], + [ + "▁entwickeln", + -12.403104782104492 + ], + [ + "▁Advance", + -12.403188705444336 + ], + [ + "▁Heil", + -12.403216361999512 + ], + [ + "Stainless", + -12.403345108032227 + ], + [ + "▁Psychology", + -12.40337085723877 + ], + [ + "▁omul", + -12.403435707092285 + ], + [ + "▁Arbeiten", + -12.403494834899902 + ], + [ + "▁rabbit", + -12.403495788574219 + ], + [ + "▁méta", + -12.40351390838623 + ], + [ + "ismul", + -12.403534889221191 + ], + [ + "▁Herausforderung", + -12.403594970703125 + ], + [ + "▁Euch", + -12.403654098510742 + ], + [ + "geschichte", + -12.40390682220459 + ], + [ + "▁Milk", + -12.404057502746582 + ], + [ + "▁pregăt", + -12.404065132141113 + ], + [ + "▁Standort", + -12.404141426086426 + ], + [ + "Val", + -12.404180526733398 + ], + [ + "▁Ronald", + -12.404350280761719 + ], + [ + "▁Werbe", + -12.404558181762695 + ], + [ + "▁restrict", + -12.404658317565918 + ], + [ + "▁tablespoon", + -12.404844284057617 + ], + [ + "▁Amendment", + -12.404845237731934 + ], + [ + "▁Johnny", + -12.404914855957031 + ], + [ + "▁lively", + -12.404938697814941 + ], + [ + "ORD", + -12.405147552490234 + ], + [ + "▁mulţi", + -12.40523624420166 + ], + [ + "èrent", + -12.405241012573242 + ], + [ + "Every", + -12.405277252197266 + ], + [ + "eignet", + -12.405296325683594 + ], + [ + "GD", + -12.40546989440918 + ], + [ + "▁Ghana", + -12.405628204345703 + ], + [ + "▁wealthy", + -12.40576171875 + ], + [ + "▁advocates", + -12.405818939208984 + ], + [ + "▁Campaign", + -12.40584659576416 + ], + [ + "▁posters", + -12.405964851379395 + ], + [ + "flug", + -12.406011581420898 + ], + [ + "▁métier", + -12.406139373779297 + ], + [ + "kir", + -12.406148910522461 + ], + [ + "bond", + -12.406176567077637 + ], + [ + "datorita", + -12.406188011169434 + ], + [ + "▁Hochzeit", + -12.406230926513672 + ], + [ + "▁effectué", + -12.406271934509277 + ], + [ + "▁angles", + -12.40654182434082 + ], + [ + "▁Electrical", + -12.406705856323242 + ], + [ + "▁Administrator", + -12.40674114227295 + ], + [ + "▁spur", + -12.407389640808105 + ], + [ + "▁größere", + -12.407444953918457 + ], + [ + "woke", + -12.407515525817871 + ], + [ + "▁gewinnen", + -12.407689094543457 + ], + [ + "▁ajută", + -12.407712936401367 + ], + [ + "▁ventilation", + -12.407853126525879 + ], + [ + "▁viaţa", + -12.407853126525879 + ], + [ + "▁Dinner", + -12.408079147338867 + ], + [ + "respond", + -12.408095359802246 + ], + [ + "▁OEM", + -12.408120155334473 + ], + [ + "▁affair", + -12.4081392288208 + ], + [ + "▁öffentlich", + -12.408143043518066 + ], + [ + "ENS", + -12.408209800720215 + ], + [ + "▁Cent", + -12.408224105834961 + ], + [ + "▁făc", + -12.408267974853516 + ], + [ + "▁Doppel", + -12.408285140991211 + ], + [ + "▁fericit", + -12.408363342285156 + ], + [ + "▁coordon", + -12.40845775604248 + ], + [ + "geht", + -12.408547401428223 + ], + [ + "▁perfekte", + -12.408610343933105 + ], + [ + "▁sportive", + -12.408700942993164 + ], + [ + "▁proiectul", + -12.40870189666748 + ], + [ + "▁deadly", + -12.408804893493652 + ], + [ + "Geschäft", + -12.408822059631348 + ], + [ + "▁inspirational", + -12.408854484558105 + ], + [ + "+1", + -12.409013748168945 + ], + [ + "▁pearl", + -12.409022331237793 + ], + [ + "▁scrub", + -12.409036636352539 + ], + [ + "▁scheint", + -12.409079551696777 + ], + [ + "poo", + -12.409147262573242 + ], + [ + "▁Pier", + -12.409220695495605 + ], + [ + "▁commented", + -12.409285545349121 + ], + [ + "lute", + -12.409302711486816 + ], + [ + "▁cancelled", + -12.409488677978516 + ], + [ + "Win", + -12.409605979919434 + ], + [ + "▁payroll", + -12.409781455993652 + ], + [ + "▁varsta", + -12.409881591796875 + ], + [ + "stuffed", + -12.410097122192383 + ], + [ + "▁beads", + -12.410138130187988 + ], + [ + "▁poems", + -12.410356521606445 + ], + [ + "pokesman", + -12.410399436950684 + ], + [ + "▁checklist", + -12.410523414611816 + ], + [ + "▁Mich", + -12.410636901855469 + ], + [ + "GEN", + -12.410676002502441 + ], + [ + "▁Lau", + -12.410783767700195 + ], + [ + "▁stie", + -12.410965919494629 + ], + [ + "▁Lovely", + -12.4110107421875 + ], + [ + "▁Anschluss", + -12.411062240600586 + ], + [ + "▁personaj", + -12.41108226776123 + ], + [ + "▁ausgestattet", + -12.411121368408203 + ], + [ + "▁beginners", + -12.411163330078125 + ], + [ + "▁noon", + -12.411189079284668 + ], + [ + "▁celule", + -12.41128921508789 + ], + [ + "Trans", + -12.411324501037598 + ], + [ + "boot", + -12.411331176757812 + ], + [ + "▁drumul", + -12.41136646270752 + ], + [ + "gruppen", + -12.41140079498291 + ], + [ + "étend", + -12.41140365600586 + ], + [ + "▁risques", + -12.411405563354492 + ], + [ + "acclaimed", + -12.411447525024414 + ], + [ + "▁celelalte", + -12.411617279052734 + ], + [ + "▁condiţii", + -12.411620140075684 + ], + [ + "▁skiing", + -12.411685943603516 + ], + [ + "▁optimale", + -12.411689758300781 + ], + [ + "technology", + -12.411773681640625 + ], + [ + "▁renew", + -12.411784172058105 + ], + [ + "Cloud", + -12.41179084777832 + ], + [ + "▁damaging", + -12.411905288696289 + ], + [ + "GT", + -12.412219047546387 + ], + [ + "▁Reform", + -12.41230583190918 + ], + [ + "vedem", + -12.412349700927734 + ], + [ + "▁indicat", + -12.412461280822754 + ], + [ + "▁Maker", + -12.412467002868652 + ], + [ + "▁lichid", + -12.412582397460938 + ], + [ + "3.1", + -12.412614822387695 + ], + [ + "păt", + -12.412620544433594 + ], + [ + "lumina", + -12.41264820098877 + ], + [ + "▁Situ", + -12.412806510925293 + ], + [ + "▁Archives", + -12.412857055664062 + ], + [ + "▁allergies", + -12.41287899017334 + ], + [ + "▁Cameron", + -12.412883758544922 + ], + [ + "▁Immun", + -12.412899017333984 + ], + [ + "wissenschaftlich", + -12.41301441192627 + ], + [ + "▁supplémentaire", + -12.413128852844238 + ], + [ + "▁puterea", + -12.413261413574219 + ], + [ + "Lab", + -12.413331985473633 + ], + [ + "inspired", + -12.413384437561035 + ], + [ + "▁shrink", + -12.413403511047363 + ], + [ + "▁voit", + -12.413426399230957 + ], + [ + "▁chopped", + -12.413467407226562 + ], + [ + "▁Franz", + -12.413537979125977 + ], + [ + "oku", + -12.413652420043945 + ], + [ + "▁suppress", + -12.413673400878906 + ], + [ + "▁impress", + -12.413751602172852 + ], + [ + "▁Liga", + -12.413755416870117 + ], + [ + "▁Eight", + -12.41378402709961 + ], + [ + "720", + -12.413795471191406 + ], + [ + "▁securely", + -12.413870811462402 + ], + [ + "KU", + -12.413934707641602 + ], + [ + "modell", + -12.413992881774902 + ], + [ + "Ensure", + -12.414154052734375 + ], + [ + "größte", + -12.414204597473145 + ], + [ + "▁réuni", + -12.414215087890625 + ], + [ + "▁Internal", + -12.41423225402832 + ], + [ + "▁Punkte", + -12.414320945739746 + ], + [ + "▁replicate", + -12.414412498474121 + ], + [ + "▁spreadsheet", + -12.414434432983398 + ], + [ + "▁Hindu", + -12.414549827575684 + ], + [ + "▁Cham", + -12.414578437805176 + ], + [ + "nati", + -12.414670944213867 + ], + [ + "imply", + -12.414679527282715 + ], + [ + "funded", + -12.414894104003906 + ], + [ + "▁charitable", + -12.414896011352539 + ], + [ + "▁imagined", + -12.415014266967773 + ], + [ + "hausen", + -12.41517448425293 + ], + [ + "Keeping", + -12.415239334106445 + ], + [ + "▁attitudes", + -12.415287971496582 + ], + [ + "esque", + -12.415365219116211 + ], + [ + "▁Tennis", + -12.415409088134766 + ], + [ + "Jeremy", + -12.415410041809082 + ], + [ + "▁majeur", + -12.415475845336914 + ], + [ + "▁stii", + -12.4155912399292 + ], + [ + "▁herbal", + -12.415790557861328 + ], + [ + "▁cauta", + -12.41580867767334 + ], + [ + "▁voluntary", + -12.415828704833984 + ], + [ + "wohl", + -12.415877342224121 + ], + [ + "▁ideea", + -12.41588306427002 + ], + [ + "▁WW", + -12.415899276733398 + ], + [ + "▁erneut", + -12.416010856628418 + ], + [ + "größten", + -12.416094779968262 + ], + [ + "Grâce", + -12.416159629821777 + ], + [ + "▁Köln", + -12.416193008422852 + ], + [ + "▁mobilier", + -12.416199684143066 + ], + [ + "▁fool", + -12.416254043579102 + ], + [ + "▁Calcul", + -12.416295051574707 + ], + [ + "attaque", + -12.41637897491455 + ], + [ + "▁digestive", + -12.41656494140625 + ], + [ + "performance", + -12.416647911071777 + ], + [ + "▁homeowner", + -12.41675853729248 + ], + [ + "▁hunger", + -12.4169282913208 + ], + [ + "2.3", + -12.41696834564209 + ], + [ + "▁Sort", + -12.417085647583008 + ], + [ + "▁Dennis", + -12.41723918914795 + ], + [ + "▁certificat", + -12.417250633239746 + ], + [ + "▁Canal", + -12.417337417602539 + ], + [ + "▁Yesterday", + -12.417424201965332 + ], + [ + "▁sausage", + -12.417499542236328 + ], + [ + "▁perdu", + -12.417736053466797 + ], + [ + "ösen", + -12.417741775512695 + ], + [ + "▁preserved", + -12.417750358581543 + ], + [ + "▁trendy", + -12.4177885055542 + ], + [ + "▁iubire", + -12.417935371398926 + ], + [ + "▁grandfather", + -12.417961120605469 + ], + [ + "▁shoppers", + -12.41820240020752 + ], + [ + "▁verschieden", + -12.418252944946289 + ], + [ + "▁gagner", + -12.41826343536377 + ], + [ + "▁lucra", + -12.418437004089355 + ], + [ + "metru", + -12.418464660644531 + ], + [ + "buz", + -12.418469429016113 + ], + [ + "▁flourish", + -12.418484687805176 + ], + [ + "affin", + -12.418523788452148 + ], + [ + "▁Pflanzen", + -12.41858196258545 + ], + [ + "agh", + -12.418588638305664 + ], + [ + "▁Gill", + -12.418660163879395 + ], + [ + "▁Kä", + -12.418671607971191 + ], + [ + "▁Wege", + -12.41876220703125 + ], + [ + "▁Liberal", + -12.418929100036621 + ], + [ + "▁Glasgow", + -12.418944358825684 + ], + [ + "Objekt", + -12.4189453125 + ], + [ + "▁Huawei", + -12.4189453125 + ], + [ + "appropri", + -12.418986320495605 + ], + [ + "▁genius", + -12.419037818908691 + ], + [ + "▁brokers", + -12.419068336486816 + ], + [ + "▁themed", + -12.41918659210205 + ], + [ + "▁barre", + -12.419210433959961 + ], + [ + "1.7", + -12.419219017028809 + ], + [ + "▁Electro", + -12.419303894042969 + ], + [ + "▁umbrella", + -12.419333457946777 + ], + [ + "▁advisory", + -12.419417381286621 + ], + [ + "▁comport", + -12.419421195983887 + ], + [ + "▁neuer", + -12.419452667236328 + ], + [ + "▁Wick", + -12.419568061828613 + ], + [ + "wak", + -12.419618606567383 + ], + [ + "▁Woman", + -12.419695854187012 + ], + [ + "▁lesser", + -12.419843673706055 + ], + [ + "▁replied", + -12.419987678527832 + ], + [ + "▁représente", + -12.420050621032715 + ], + [ + "▁thé", + -12.420135498046875 + ], + [ + "Deutsch", + -12.420428276062012 + ], + [ + "Cat", + -12.420483589172363 + ], + [ + "▁équipes", + -12.420534133911133 + ], + [ + "▁spider", + -12.420578956604004 + ], + [ + "▁Gaming", + -12.420589447021484 + ], + [ + "▁Liste", + -12.420592308044434 + ], + [ + "▁affection", + -12.420639038085938 + ], + [ + "lipsa", + -12.420982360839844 + ], + [ + "▁Spider", + -12.420987129211426 + ], + [ + "▁Julia", + -12.421034812927246 + ], + [ + "anlagen", + -12.421159744262695 + ], + [ + "Kon", + -12.421363830566406 + ], + [ + "nței", + -12.421368598937988 + ], + [ + "▁Verwaltung", + -12.421483993530273 + ], + [ + "▁raspuns", + -12.421489715576172 + ], + [ + "samt", + -12.421491622924805 + ], + [ + "▁creștere", + -12.421512603759766 + ], + [ + "▁decorate", + -12.421701431274414 + ], + [ + "▁Chain", + -12.422021865844727 + ], + [ + "ów", + -12.422050476074219 + ], + [ + "0-0", + -12.422104835510254 + ], + [ + "▁Cran", + -12.422407150268555 + ], + [ + "▁streak", + -12.42242431640625 + ], + [ + "ор", + -12.422517776489258 + ], + [ + "▁căuta", + -12.422754287719727 + ], + [ + "wende", + -12.422801971435547 + ], + [ + "▁haine", + -12.42280387878418 + ], + [ + "▁landscaping", + -12.423009872436523 + ], + [ + "▁historian", + -12.423016548156738 + ], + [ + "▁grandchildren", + -12.423033714294434 + ], + [ + "▁crawl", + -12.423056602478027 + ], + [ + "▁Cub", + -12.423239707946777 + ], + [ + "▁nécessaires", + -12.423515319824219 + ], + [ + "▁swift", + -12.42352294921875 + ], + [ + "▁calculation", + -12.423656463623047 + ], + [ + "▁acteurs", + -12.423715591430664 + ], + [ + "VT", + -12.423752784729004 + ], + [ + "▁Hristos", + -12.423778533935547 + ], + [ + "▁slices", + -12.423850059509277 + ], + [ + "See", + -12.424203872680664 + ], + [ + "▁Bran", + -12.424233436584473 + ], + [ + "Symbol", + -12.424449920654297 + ], + [ + "▁allowance", + -12.424492835998535 + ], + [ + "▁Effective", + -12.424537658691406 + ], + [ + "▁Wünsche", + -12.424539566040039 + ], + [ + "▁shiny", + -12.424569129943848 + ], + [ + "▁professionalism", + -12.424715995788574 + ], + [ + "/6", + -12.424970626831055 + ], + [ + "▁terrasse", + -12.425087928771973 + ], + [ + "▁researcher", + -12.425156593322754 + ], + [ + "▁fragile", + -12.425203323364258 + ], + [ + "▁greeting", + -12.425274848937988 + ], + [ + "freien", + -12.4253511428833 + ], + [ + "▁valuation", + -12.425372123718262 + ], + [ + "▁incur", + -12.425386428833008 + ], + [ + "▁Zwischen", + -12.425559997558594 + ], + [ + "▁comfy", + -12.425569534301758 + ], + [ + "▁méthode", + -12.42569351196289 + ], + [ + "▁Pirate", + -12.425816535949707 + ], + [ + "▁Moto", + -12.425822257995605 + ], + [ + "(6)", + -12.425823211669922 + ], + [ + "▁devin", + -12.42582893371582 + ], + [ + "▁civic", + -12.425837516784668 + ], + [ + "usage", + -12.425889015197754 + ], + [ + "▁istorie", + -12.425945281982422 + ], + [ + "▁piste", + -12.425955772399902 + ], + [ + "▁Rug", + -12.426091194152832 + ], + [ + "pä", + -12.426129341125488 + ], + [ + "▁matur", + -12.426148414611816 + ], + [ + "CAS", + -12.426155090332031 + ], + [ + "TIC", + -12.42618465423584 + ], + [ + "▁Reduce", + -12.426234245300293 + ], + [ + "▁commemorat", + -12.426321983337402 + ], + [ + "▁cease", + -12.42653751373291 + ], + [ + "unterschiedliche", + -12.42656421661377 + ], + [ + "▁cinnamon", + -12.426581382751465 + ], + [ + "▁Font", + -12.426583290100098 + ], + [ + "▁justify", + -12.426751136779785 + ], + [ + "deteriorat", + -12.426797866821289 + ], + [ + "▁Schön", + -12.42684555053711 + ], + [ + "plain", + -12.426993370056152 + ], + [ + "frist", + -12.427002906799316 + ], + [ + "▁helmet", + -12.42712116241455 + ], + [ + "▁statute", + -12.42721939086914 + ], + [ + "accept", + -12.427236557006836 + ], + [ + "▁1,5", + -12.42724323272705 + ], + [ + "▁recon", + -12.42724323272705 + ], + [ + "▁Möbel", + -12.427348136901855 + ], + [ + "▁idées", + -12.427367210388184 + ], + [ + "automat", + -12.427552223205566 + ], + [ + "Team", + -12.42758846282959 + ], + [ + "▁performers", + -12.427688598632812 + ], + [ + "▁microphone", + -12.427722930908203 + ], + [ + "impotriva", + -12.427775382995605 + ], + [ + "▁pillows", + -12.42780876159668 + ], + [ + "▁accountable", + -12.427812576293945 + ], + [ + "▁strings", + -12.42782974243164 + ], + [ + "hydrate", + -12.427835464477539 + ], + [ + "▁Yan", + -12.427865028381348 + ], + [ + "starea", + -12.427918434143066 + ], + [ + "▁présenté", + -12.42793083190918 + ], + [ + "▁extensively", + -12.428048133850098 + ], + [ + "äst", + -12.428114891052246 + ], + [ + "▁correlation", + -12.428115844726562 + ], + [ + "bespoke", + -12.428119659423828 + ], + [ + "▁creste", + -12.428196907043457 + ], + [ + "▁Armenia", + -12.428248405456543 + ], + [ + "nose", + -12.428426742553711 + ], + [ + "▁strengthening", + -12.428604125976562 + ], + [ + "▁Horizon", + -12.428627014160156 + ], + [ + "▁obesity", + -12.428627967834473 + ], + [ + "seasoned", + -12.428686141967773 + ], + [ + "▁screenshot", + -12.428736686706543 + ], + [ + "girl", + -12.42875862121582 + ], + [ + "▁hardest", + -12.428826332092285 + ], + [ + "▁weakness", + -12.428855895996094 + ], + [ + "effectuer", + -12.429012298583984 + ], + [ + "▁Florence", + -12.429034233093262 + ], + [ + "▁Europene", + -12.429062843322754 + ], + [ + "triggered", + -12.429333686828613 + ], + [ + "Apparently", + -12.42939567565918 + ], + [ + "▁diagnose", + -12.42943286895752 + ], + [ + "rushed", + -12.429494857788086 + ], + [ + "▁trotz", + -12.429516792297363 + ], + [ + "▁spécial", + -12.429680824279785 + ], + [ + "▁lumi", + -12.429783821105957 + ], + [ + "7:00", + -12.429877281188965 + ], + [ + "▁publicat", + -12.429903984069824 + ], + [ + "ос", + -12.430086135864258 + ], + [ + "▁hue", + -12.430136680603027 + ], + [ + "▁termination", + -12.430139541625977 + ], + [ + "▁Nam", + -12.430240631103516 + ], + [ + "Well", + -12.430376052856445 + ], + [ + "▁Extract", + -12.430441856384277 + ], + [ + "atiile", + -12.43062686920166 + ], + [ + "▁vivid", + -12.43076229095459 + ], + [ + "hrs", + -12.430858612060547 + ], + [ + "▁povesti", + -12.430984497070312 + ], + [ + "stehenden", + -12.430988311767578 + ], + [ + "▁informieren", + -12.431070327758789 + ], + [ + "employed", + -12.431133270263672 + ], + [ + "▁armor", + -12.431180953979492 + ], + [ + "▁Columbus", + -12.431191444396973 + ], + [ + "Registr", + -12.431200981140137 + ], + [ + "▁Kamera", + -12.431203842163086 + ], + [ + "▁ugly", + -12.431203842163086 + ], + [ + "outil", + -12.431234359741211 + ], + [ + "▁evenly", + -12.43134593963623 + ], + [ + "lungul", + -12.431349754333496 + ], + [ + "koch", + -12.431439399719238 + ], + [ + "▁Dig", + -12.431450843811035 + ], + [ + "purely", + -12.431489944458008 + ], + [ + "▁Surf", + -12.431560516357422 + ], + [ + "rilla", + -12.431628227233887 + ], + [ + "▁Watson", + -12.43171215057373 + ], + [ + "trug", + -12.431719779968262 + ], + [ + "figuring", + -12.431784629821777 + ], + [ + "▁competitor", + -12.431807518005371 + ], + [ + "▁humid", + -12.431889533996582 + ], + [ + "▁Lawyer", + -12.43189811706543 + ], + [ + "Added", + -12.43205451965332 + ], + [ + "▁salva", + -12.432056427001953 + ], + [ + "▁drainage", + -12.4321870803833 + ], + [ + "Featuring", + -12.432220458984375 + ], + [ + "▁Pel", + -12.43234634399414 + ], + [ + "▁acasa", + -12.432611465454102 + ], + [ + "▁expectation", + -12.43265438079834 + ], + [ + "gibt", + -12.432663917541504 + ], + [ + "▁marginal", + -12.432831764221191 + ], + [ + "ceni", + -12.433028221130371 + ], + [ + "▁européen", + -12.433065414428711 + ], + [ + "clav", + -12.433090209960938 + ], + [ + "▁Shot", + -12.433167457580566 + ], + [ + "commun", + -12.43322467803955 + ], + [ + "▁Calendar", + -12.433247566223145 + ], + [ + "▁trek", + -12.433348655700684 + ], + [ + "rechtliche", + -12.433406829833984 + ], + [ + "▁Perry", + -12.43342399597168 + ], + [ + "▁surge", + -12.433484077453613 + ], + [ + "geschäft", + -12.433504104614258 + ], + [ + "paced", + -12.433793067932129 + ], + [ + "depend", + -12.433871269226074 + ], + [ + "▁Sache", + -12.433947563171387 + ], + [ + "▁Example", + -12.433998107910156 + ], + [ + "▁lider", + -12.434118270874023 + ], + [ + "▁nochmal", + -12.434240341186523 + ], + [ + "▁Present", + -12.434243202209473 + ], + [ + "KW", + -12.434335708618164 + ], + [ + "prompted", + -12.434350967407227 + ], + [ + "logique", + -12.434444427490234 + ], + [ + "Université", + -12.434466361999512 + ], + [ + "lith", + -12.434489250183105 + ], + [ + "▁Gefahr", + -12.434579849243164 + ], + [ + "▁Acid", + -12.434625625610352 + ], + [ + "objets", + -12.434791564941406 + ], + [ + "▁societies", + -12.434791564941406 + ], + [ + "▁distraction", + -12.434816360473633 + ], + [ + "▁puissance", + -12.434934616088867 + ], + [ + "▁alleviat", + -12.435026168823242 + ], + [ + "▁Capitol", + -12.435050010681152 + ], + [ + "▁Heim", + -12.435129165649414 + ], + [ + "judicial", + -12.435230255126953 + ], + [ + "▁nowadays", + -12.435309410095215 + ], + [ + "▁Hammer", + -12.435317039489746 + ], + [ + "▁metallic", + -12.435327529907227 + ], + [ + "▁distr", + -12.435388565063477 + ], + [ + "▁dispos", + -12.435397148132324 + ], + [ + "profile", + -12.435408592224121 + ], + [ + "▁Nicolas", + -12.435602188110352 + ], + [ + "▁presa", + -12.435760498046875 + ], + [ + "augh", + -12.43578052520752 + ], + [ + "schuss", + -12.435787200927734 + ], + [ + "▁Diana", + -12.436062812805176 + ], + [ + "4-5", + -12.436097145080566 + ], + [ + "▁Chapel", + -12.43612003326416 + ], + [ + "▁zahar", + -12.436150550842285 + ], + [ + "âmb", + -12.4362154006958 + ], + [ + "▁Tarif", + -12.436264991760254 + ], + [ + "▁devastating", + -12.436339378356934 + ], + [ + "6:00", + -12.4364013671875 + ], + [ + "▁100,000", + -12.43645191192627 + ], + [ + "NIC", + -12.436580657958984 + ], + [ + "▁Lucas", + -12.436612129211426 + ], + [ + "▁bequem", + -12.436662673950195 + ], + [ + "▁Motion", + -12.436698913574219 + ], + [ + "7,000", + -12.436701774597168 + ], + [ + "▁malware", + -12.436708450317383 + ], + [ + "▁avenue", + -12.436723709106445 + ], + [ + "▁manger", + -12.436747550964355 + ], + [ + "▁Queensland", + -12.436857223510742 + ], + [ + "▁Papier", + -12.436861991882324 + ], + [ + "▁Increase", + -12.436880111694336 + ], + [ + "▁implies", + -12.436954498291016 + ], + [ + "▁äußer", + -12.43697452545166 + ], + [ + "▁Meine", + -12.436980247497559 + ], + [ + "Reuters", + -12.437155723571777 + ], + [ + "▁Belt", + -12.437232971191406 + ], + [ + "Educat", + -12.437251091003418 + ], + [ + "▁Aktion", + -12.437355041503906 + ], + [ + "schläge", + -12.437372207641602 + ], + [ + "▁înregistrat", + -12.437426567077637 + ], + [ + "▁Ortho", + -12.43756103515625 + ], + [ + "▁bulbs", + -12.437761306762695 + ], + [ + "kap", + -12.437793731689453 + ], + [ + "▁peinture", + -12.437901496887207 + ], + [ + "▁Lounge", + -12.437907218933105 + ], + [ + "▁Tampa", + -12.438008308410645 + ], + [ + "ifiziert", + -12.438100814819336 + ], + [ + "kinder", + -12.438172340393066 + ], + [ + "▁comparativ", + -12.438281059265137 + ], + [ + "häuser", + -12.438323974609375 + ], + [ + "incarn", + -12.438363075256348 + ], + [ + "▁amazon", + -12.438464164733887 + ], + [ + "▁Southeast", + -12.438505172729492 + ], + [ + "▁economical", + -12.438667297363281 + ], + [ + "▁broth", + -12.438697814941406 + ], + [ + "▁Secure", + -12.438750267028809 + ], + [ + "damals", + -12.438875198364258 + ], + [ + "▁Elementary", + -12.438921928405762 + ], + [ + "▁Wildlife", + -12.438995361328125 + ], + [ + "▁Jewel", + -12.439001083374023 + ], + [ + "▁protocols", + -12.439297676086426 + ], + [ + "▁zbor", + -12.4393892288208 + ], + [ + "▁enthusiasts", + -12.439398765563965 + ], + [ + "▁Mirror", + -12.439444541931152 + ], + [ + "▁soak", + -12.439537048339844 + ], + [ + "▁Sad", + -12.439574241638184 + ], + [ + "▁dishwasher", + -12.439957618713379 + ], + [ + "▁vollständig", + -12.440186500549316 + ], + [ + "▁Vermont", + -12.440407752990723 + ], + [ + "▁caut", + -12.440449714660645 + ], + [ + "▁fournisseur", + -12.440475463867188 + ], + [ + "▁Concrete", + -12.44047737121582 + ], + [ + "▁Instant", + -12.440595626831055 + ], + [ + "▁reveni", + -12.440597534179688 + ], + [ + "▁Surface", + -12.44059944152832 + ], + [ + "zumindest", + -12.440713882446289 + ], + [ + "▁feast", + -12.440725326538086 + ], + [ + "▁stretching", + -12.440803527832031 + ], + [ + "ERA", + -12.440997123718262 + ], + [ + "▁Scholarship", + -12.441020965576172 + ], + [ + "▁vineyard", + -12.4410400390625 + ], + [ + "▁régulièrement", + -12.441083908081055 + ], + [ + "▁patches", + -12.441093444824219 + ], + [ + "▁Gamb", + -12.44113540649414 + ], + [ + "▁Vereins", + -12.441152572631836 + ], + [ + "ège", + -12.441372871398926 + ], + [ + "▁constitutional", + -12.441411018371582 + ], + [ + "erreur", + -12.441413879394531 + ], + [ + "▁Colombia", + -12.441514015197754 + ], + [ + "UF", + -12.441618919372559 + ], + [ + "aider", + -12.441665649414062 + ], + [ + "cision", + -12.44180965423584 + ], + [ + "▁publishers", + -12.441913604736328 + ], + [ + "▁prelua", + -12.441967964172363 + ], + [ + "▁keiner", + -12.441990852355957 + ], + [ + "▁amid", + -12.442020416259766 + ], + [ + "▁quantitative", + -12.442031860351562 + ], + [ + "▁decay", + -12.442058563232422 + ], + [ + "▁distinguished", + -12.4420747756958 + ], + [ + "▁Gründe", + -12.442209243774414 + ], + [ + "▁statului", + -12.442362785339355 + ], + [ + "CAT", + -12.442436218261719 + ], + [ + "allow", + -12.442481994628906 + ], + [ + "▁mathematical", + -12.442550659179688 + ], + [ + "▁tragedy", + -12.44255542755127 + ], + [ + "▁heels", + -12.442609786987305 + ], + [ + "opia", + -12.44265365600586 + ], + [ + "▁merger", + -12.4428071975708 + ], + [ + "dispositif", + -12.442813873291016 + ], + [ + "▁pneu", + -12.44283390045166 + ], + [ + "elte", + -12.443058013916016 + ], + [ + "▁Introduction", + -12.443070411682129 + ], + [ + "▁biscuit", + -12.443134307861328 + ], + [ + "▁leftover", + -12.443275451660156 + ], + [ + "▁tester", + -12.443314552307129 + ], + [ + "▁Terre", + -12.443380355834961 + ], + [ + "▁Oui", + -12.44338321685791 + ], + [ + "▁rar", + -12.443520545959473 + ], + [ + "▁beverages", + -12.443666458129883 + ], + [ + "▁parenting", + -12.443892478942871 + ], + [ + "1-0", + -12.444053649902344 + ], + [ + "▁Barry", + -12.44417667388916 + ], + [ + "▁Lynn", + -12.444209098815918 + ], + [ + "▁Tyler", + -12.444262504577637 + ], + [ + "▁fotbal", + -12.44437026977539 + ], + [ + "dron", + -12.444475173950195 + ], + [ + "▁donor", + -12.44455623626709 + ], + [ + "▁drape", + -12.444558143615723 + ], + [ + "▁positioning", + -12.444963455200195 + ], + [ + "▁Tang", + -12.445006370544434 + ], + [ + "▁overwhelmed", + -12.445161819458008 + ], + [ + "▁perte", + -12.445192337036133 + ], + [ + "▁blender", + -12.445302963256836 + ], + [ + "TG", + -12.445467948913574 + ], + [ + "GHz", + -12.445490837097168 + ], + [ + "▁administrat", + -12.445719718933105 + ], + [ + "▁glaube", + -12.445771217346191 + ], + [ + "Char", + -12.445947647094727 + ], + [ + "impression", + -12.44627571105957 + ], + [ + "proving", + -12.446297645568848 + ], + [ + "▁Inner", + -12.446434020996094 + ], + [ + "root", + -12.446501731872559 + ], + [ + "▁Gedanken", + -12.446508407592773 + ], + [ + "▁underway", + -12.446596145629883 + ], + [ + "coat", + -12.44660758972168 + ], + [ + "▁thereof", + -12.446663856506348 + ], + [ + "rius", + -12.446700096130371 + ], + [ + "▁intermediate", + -12.446751594543457 + ], + [ + "gmail", + -12.446869850158691 + ], + [ + "114", + -12.446893692016602 + ], + [ + "▁interfere", + -12.446908950805664 + ], + [ + "▁Found", + -12.446930885314941 + ], + [ + "LF", + -12.447071075439453 + ], + [ + "▁equality", + -12.447099685668945 + ], + [ + "▁concurrent", + -12.44710636138916 + ], + [ + "akh", + -12.447107315063477 + ], + [ + "▁touching", + -12.44715690612793 + ], + [ + "▁curiosity", + -12.447235107421875 + ], + [ + "▁rendering", + -12.447263717651367 + ], + [ + "▁1964", + -12.447442054748535 + ], + [ + "sorge", + -12.447468757629395 + ], + [ + "ARC", + -12.447505950927734 + ], + [ + "▁Desktop", + -12.44752311706543 + ], + [ + "▁Tak", + -12.44760799407959 + ], + [ + "filtration", + -12.447651863098145 + ], + [ + "▁gates", + -12.4478759765625 + ], + [ + "Sehr", + -12.44791316986084 + ], + [ + "▁spatiu", + -12.44798755645752 + ], + [ + "▁Leg", + -12.448103904724121 + ], + [ + "▁aviation", + -12.448277473449707 + ], + [ + "wandel", + -12.44827938079834 + ], + [ + "▁Shar", + -12.448323249816895 + ], + [ + "▁Volks", + -12.448409080505371 + ], + [ + "maz", + -12.448698997497559 + ], + [ + "governmental", + -12.44874095916748 + ], + [ + "euros", + -12.448819160461426 + ], + [ + "avantage", + -12.448823928833008 + ], + [ + "sitzt", + -12.448856353759766 + ], + [ + "IER", + -12.448920249938965 + ], + [ + "▁Theory", + -12.44894027709961 + ], + [ + "Cependant", + -12.44907283782959 + ], + [ + "▁Teachers", + -12.449080467224121 + ], + [ + "anspruch", + -12.449095726013184 + ], + [ + "▁afecta", + -12.449139595031738 + ], + [ + "enko", + -12.449193000793457 + ], + [ + "▁breeding", + -12.449198722839355 + ], + [ + "▁Peak", + -12.449457168579102 + ], + [ + "▁găsit", + -12.449516296386719 + ], + [ + "▁măsuri", + -12.4495267868042 + ], + [ + "edia", + -12.449625968933105 + ], + [ + "biz", + -12.449640274047852 + ], + [ + "zum", + -12.449776649475098 + ], + [ + "▁schwierig", + -12.449847221374512 + ], + [ + "Sense", + -12.450050354003906 + ], + [ + "▁Jump", + -12.450081825256348 + ], + [ + "▁cocktails", + -12.450108528137207 + ], + [ + "abhängig", + -12.45012378692627 + ], + [ + "realised", + -12.450140953063965 + ], + [ + "▁programul", + -12.450214385986328 + ], + [ + "▁prévu", + -12.450238227844238 + ], + [ + "▁twitter", + -12.450372695922852 + ], + [ + "Union", + -12.450400352478027 + ], + [ + "▁Marathon", + -12.45040225982666 + ], + [ + "▁Christianity", + -12.450432777404785 + ], + [ + "▁Alberta", + -12.450811386108398 + ], + [ + "einheit", + -12.45097827911377 + ], + [ + "▁wellbeing", + -12.450982093811035 + ], + [ + "phen", + -12.451166152954102 + ], + [ + "▁Charleston", + -12.451180458068848 + ], + [ + "▁uncover", + -12.451323509216309 + ], + [ + "▁humaine", + -12.451464653015137 + ], + [ + "▁bleeding", + -12.451531410217285 + ], + [ + "▁manipul", + -12.451532363891602 + ], + [ + "▁humidity", + -12.451570510864258 + ], + [ + "▁Puis", + -12.451748847961426 + ], + [ + "▁aktuell", + -12.451922416687012 + ], + [ + "▁Nissan", + -12.451943397521973 + ], + [ + "▁Eisen", + -12.45202922821045 + ], + [ + "treiben", + -12.452059745788574 + ], + [ + "cios", + -12.452073097229004 + ], + [ + "ikh", + -12.452381134033203 + ], + [ + "acquiring", + -12.452466011047363 + ], + [ + "▁Wallpaper", + -12.452488899230957 + ], + [ + "▁rond", + -12.452558517456055 + ], + [ + "▁Doug", + -12.45267391204834 + ], + [ + "sourcing", + -12.452696800231934 + ], + [ + "▁1900", + -12.452825546264648 + ], + [ + "▁buni", + -12.452913284301758 + ], + [ + "vest", + -12.452916145324707 + ], + [ + "▁Bangladesh", + -12.452990531921387 + ], + [ + "Home", + -12.453160285949707 + ], + [ + "▁wrinkle", + -12.453252792358398 + ], + [ + "rado", + -12.453290939331055 + ], + [ + "▁Pain", + -12.45334243774414 + ], + [ + "▁herzlich", + -12.453354835510254 + ], + [ + "MRI", + -12.453426361083984 + ], + [ + "UG", + -12.453631401062012 + ], + [ + "▁Desk", + -12.453679084777832 + ], + [ + "▁remarc", + -12.453718185424805 + ], + [ + "▁sodium", + -12.453857421875 + ], + [ + "▁Jede", + -12.453892707824707 + ], + [ + "▁réelle", + -12.453959465026855 + ], + [ + "▁Polar", + -12.454068183898926 + ], + [ + "▁activists", + -12.454273223876953 + ], + [ + "lasted", + -12.454300880432129 + ], + [ + "Some", + -12.45432186126709 + ], + [ + "ISE", + -12.454338073730469 + ], + [ + "▁peine", + -12.454671859741211 + ], + [ + "▁crude", + -12.454852104187012 + ], + [ + "Maur", + -12.454916954040527 + ], + [ + "▁forcing", + -12.454933166503906 + ], + [ + "▁politici", + -12.454970359802246 + ], + [ + "▁condiții", + -12.454988479614258 + ], + [ + "▁Saving", + -12.454999923706055 + ], + [ + "▁descoperi", + -12.455020904541016 + ], + [ + "avenir", + -12.455055236816406 + ], + [ + "Akt", + -12.455069541931152 + ], + [ + "▁vocabulary", + -12.45509147644043 + ], + [ + "▁pont", + -12.455168724060059 + ], + [ + "West", + -12.45518970489502 + ], + [ + "lenk", + -12.455278396606445 + ], + [ + "▁Verbraucher", + -12.455367088317871 + ], + [ + "affects", + -12.455448150634766 + ], + [ + "▁Flower", + -12.455543518066406 + ], + [ + "▁Nebraska", + -12.455617904663086 + ], + [ + "▁assortment", + -12.455618858337402 + ], + [ + "hock", + -12.455619812011719 + ], + [ + "▁discounted", + -12.455803871154785 + ], + [ + "▁Sensor", + -12.455840110778809 + ], + [ + "Lie", + -12.45588207244873 + ], + [ + "▁Volkswagen", + -12.455887794494629 + ], + [ + "isseur", + -12.455888748168945 + ], + [ + "indice", + -12.455936431884766 + ], + [ + "▁scanner", + -12.455986022949219 + ], + [ + "fashioned", + -12.456040382385254 + ], + [ + "▁postal", + -12.456141471862793 + ], + [ + "ouvrir", + -12.45615291595459 + ], + [ + "▁seminars", + -12.45622444152832 + ], + [ + "ioase", + -12.456232070922852 + ], + [ + "▁Stanley", + -12.456260681152344 + ], + [ + "Various", + -12.456335067749023 + ], + [ + "essentiel", + -12.45650577545166 + ], + [ + "▁administered", + -12.456693649291992 + ], + [ + "▁concession", + -12.456748008728027 + ], + [ + "▁mould", + -12.456789016723633 + ], + [ + "▁strongest", + -12.456826210021973 + ], + [ + "Erlebnis", + -12.456933975219727 + ], + [ + "▁ehemalige", + -12.456933975219727 + ], + [ + "▁Tale", + -12.457234382629395 + ], + [ + "▁Buyer", + -12.457353591918945 + ], + [ + "ück", + -12.457578659057617 + ], + [ + "▁Kommentar", + -12.457720756530762 + ], + [ + "▁Schrift", + -12.457756996154785 + ], + [ + "Design", + -12.457792282104492 + ], + [ + "▁stirring", + -12.457937240600586 + ], + [ + "▁towels", + -12.457987785339355 + ], + [ + "▁$30", + -12.458101272583008 + ], + [ + "sprache", + -12.458279609680176 + ], + [ + "▁Regierung", + -12.458346366882324 + ], + [ + "▁nachhaltig", + -12.458406448364258 + ], + [ + "▁électronique", + -12.458515167236328 + ], + [ + "▁Andrei", + -12.458587646484375 + ], + [ + "because", + -12.458647727966309 + ], + [ + "informatique", + -12.458650588989258 + ], + [ + "IGHT", + -12.4586820602417 + ], + [ + "stepping", + -12.4586820602417 + ], + [ + "▁gris", + -12.458748817443848 + ], + [ + "vious", + -12.458773612976074 + ], + [ + "▁upside", + -12.4591064453125 + ], + [ + "▁Examples", + -12.459108352661133 + ], + [ + "IU", + -12.459110260009766 + ], + [ + "▁princess", + -12.459111213684082 + ], + [ + "spielen", + -12.45921516418457 + ], + [ + "legung", + -12.45950984954834 + ], + [ + "▁reflecting", + -12.4597806930542 + ], + [ + "▁Processing", + -12.459939002990723 + ], + [ + "▁jungle", + -12.460033416748047 + ], + [ + "▁insects", + -12.46006965637207 + ], + [ + "▁Sibiu", + -12.460220336914062 + ], + [ + "160", + -12.460259437561035 + ], + [ + "▁interessante", + -12.460267066955566 + ], + [ + "▁multimedia", + -12.460455894470215 + ], + [ + "essel", + -12.46049690246582 + ], + [ + "/18", + -12.460647583007812 + ], + [ + "nière", + -12.460683822631836 + ], + [ + "ministru", + -12.46072006225586 + ], + [ + "▁implants", + -12.460826873779297 + ], + [ + "▁Settings", + -12.461360931396484 + ], + [ + "▁invaluable", + -12.461432456970215 + ], + [ + "stains", + -12.461448669433594 + ], + [ + "onym", + -12.461518287658691 + ], + [ + "▁searched", + -12.461570739746094 + ], + [ + "▁disappointment", + -12.461628913879395 + ], + [ + "▁Iranian", + -12.461630821228027 + ], + [ + "▁questionnaire", + -12.461630821228027 + ], + [ + "Founder", + -12.46178913116455 + ], + [ + "▁Bericht", + -12.461792945861816 + ], + [ + "▁youngest", + -12.461896896362305 + ], + [ + "▁Automatic", + -12.461956024169922 + ], + [ + "▁plecat", + -12.46203327178955 + ], + [ + "geber", + -12.462119102478027 + ], + [ + "soweit", + -12.462124824523926 + ], + [ + "▁unfold", + -12.462236404418945 + ], + [ + "▁befinden", + -12.462274551391602 + ], + [ + "▁susţin", + -12.462637901306152 + ], + [ + "▁Mack", + -12.462675094604492 + ], + [ + "▁dificil", + -12.462757110595703 + ], + [ + "enseigne", + -12.463038444519043 + ], + [ + "▁vitamine", + -12.463047981262207 + ], + [ + "▁Memory", + -12.463092803955078 + ], + [ + "ripping", + -12.463129043579102 + ], + [ + "drin", + -12.463146209716797 + ], + [ + "3.2", + -12.463278770446777 + ], + [ + "▁verstehen", + -12.463287353515625 + ], + [ + "▁scaun", + -12.46341323852539 + ], + [ + "▁procédure", + -12.46380615234375 + ], + [ + "▁molecules", + -12.463911056518555 + ], + [ + "▁Anzahl", + -12.46391487121582 + ], + [ + "▁yogurt", + -12.464071273803711 + ], + [ + "▁Dominic", + -12.464113235473633 + ], + [ + "▁shocked", + -12.464156150817871 + ], + [ + "▁zilei", + -12.464269638061523 + ], + [ + "▁Heiz", + -12.464412689208984 + ], + [ + "▁Educational", + -12.464571952819824 + ], + [ + "BN", + -12.464577674865723 + ], + [ + "analyzing", + -12.464601516723633 + ], + [ + "hair", + -12.464676856994629 + ], + [ + "spiegel", + -12.464871406555176 + ], + [ + "▁illusion", + -12.464889526367188 + ], + [ + "BG", + -12.46505355834961 + ], + [ + "deductible", + -12.46513557434082 + ], + [ + "▁adj", + -12.4651460647583 + ], + [ + "▁accessory", + -12.465166091918945 + ], + [ + "▁Draw", + -12.465167999267578 + ], + [ + "▁airlines", + -12.46518611907959 + ], + [ + "▁satisfai", + -12.46536636352539 + ], + [ + "▁architects", + -12.465447425842285 + ], + [ + "istische", + -12.465508460998535 + ], + [ + "▁Healthy", + -12.465539932250977 + ], + [ + "großer", + -12.465669631958008 + ], + [ + "▁comunicare", + -12.465764999389648 + ], + [ + "▁Meyer", + -12.46577262878418 + ], + [ + "▁reproduction", + -12.465882301330566 + ], + [ + "▁Manufacturing", + -12.465929985046387 + ], + [ + "immobilier", + -12.465930938720703 + ], + [ + "▁Unterschied", + -12.465958595275879 + ], + [ + "▁cumpara", + -12.466029167175293 + ], + [ + "▁duplicate", + -12.466094017028809 + ], + [ + "▁(16", + -12.466096878051758 + ], + [ + "▁detector", + -12.466279983520508 + ], + [ + "▁observat", + -12.466387748718262 + ], + [ + "▁1965", + -12.466682434082031 + ], + [ + "▁Fantasy", + -12.466728210449219 + ], + [ + "▁brauchen", + -12.466728210449219 + ], + [ + "▁Participants", + -12.466780662536621 + ], + [ + "▁décide", + -12.466817855834961 + ], + [ + "▁kicke", + -12.466819763183594 + ], + [ + "▁SSL", + -12.466885566711426 + ], + [ + "360", + -12.466989517211914 + ], + [ + "Anim", + -12.467019081115723 + ], + [ + "▁cupcake", + -12.467031478881836 + ], + [ + "▁Lamb", + -12.467107772827148 + ], + [ + "▁Sä", + -12.467155456542969 + ], + [ + "ntă", + -12.46738052368164 + ], + [ + "▁Pig", + -12.467421531677246 + ], + [ + "1,000", + -12.467677116394043 + ], + [ + "nhof", + -12.467782020568848 + ], + [ + "▁discret", + -12.467947959899902 + ], + [ + "▁deloc", + -12.467991828918457 + ], + [ + "▁Bücher", + -12.467999458312988 + ], + [ + "chor", + -12.468042373657227 + ], + [ + "course", + -12.468070030212402 + ], + [ + "▁cough", + -12.468076705932617 + ], + [ + "▁erstellt", + -12.468087196350098 + ], + [ + "▁Than", + -12.468097686767578 + ], + [ + "stätte", + -12.46812915802002 + ], + [ + "▁exceptionally", + -12.468162536621094 + ], + [ + "▁semnal", + -12.468186378479004 + ], + [ + "▁Interessen", + -12.468329429626465 + ], + [ + "ле", + -12.468356132507324 + ], + [ + "xx", + -12.468402862548828 + ], + [ + "▁Veterans", + -12.468422889709473 + ], + [ + "▁Kreuz", + -12.468683242797852 + ], + [ + "▁Nachricht", + -12.468701362609863 + ], + [ + "treated", + -12.468894004821777 + ], + [ + "▁tide", + -12.469230651855469 + ], + [ + "▁nonetheless", + -12.469390869140625 + ], + [ + "▁Subject", + -12.469439506530762 + ], + [ + "▁Stau", + -12.469440460205078 + ], + [ + "▁stickers", + -12.469463348388672 + ], + [ + "Alp", + -12.46950912475586 + ], + [ + "▁flagship", + -12.469541549682617 + ], + [ + "▁trimite", + -12.469619750976562 + ], + [ + "▁polyester", + -12.469664573669434 + ], + [ + "▁locui", + -12.469671249389648 + ], + [ + "▁chili", + -12.46968936920166 + ], + [ + "▁Browser", + -12.469808578491211 + ], + [ + "sieg", + -12.469809532165527 + ], + [ + "▁Arabic", + -12.469876289367676 + ], + [ + "blich", + -12.47001838684082 + ], + [ + "▁wunderbar", + -12.470090866088867 + ], + [ + "▁furnishings", + -12.470210075378418 + ], + [ + "rtie", + -12.470243453979492 + ], + [ + "8.5", + -12.470742225646973 + ], + [ + "▁Sponsor", + -12.471016883850098 + ], + [ + "▁glitter", + -12.471280097961426 + ], + [ + "▁piaț", + -12.471402168273926 + ], + [ + "▁interviewed", + -12.471519470214844 + ], + [ + "▁Statistics", + -12.471529006958008 + ], + [ + "▁cerc", + -12.47154712677002 + ], + [ + "augmentation", + -12.47155475616455 + ], + [ + "▁Navi", + -12.471558570861816 + ], + [ + "▁Begriff", + -12.47156047821045 + ], + [ + "▁știu", + -12.471596717834473 + ], + [ + "▁unabhängig", + -12.471778869628906 + ], + [ + "▁könnten", + -12.471978187561035 + ], + [ + "▁travaille", + -12.472000122070312 + ], + [ + "▁companie", + -12.472027778625488 + ], + [ + "▁Scientific", + -12.472061157226562 + ], + [ + "▁Outlook", + -12.472091674804688 + ], + [ + "▁fairy", + -12.472158432006836 + ], + [ + "zam", + -12.472282409667969 + ], + [ + "bak", + -12.472448348999023 + ], + [ + "▁Traffic", + -12.472596168518066 + ], + [ + "gerät", + -12.472671508789062 + ], + [ + "▁freezing", + -12.472701072692871 + ], + [ + "▁broadband", + -12.4727201461792 + ], + [ + "110", + -12.47279167175293 + ], + [ + "▁revenu", + -12.472887992858887 + ], + [ + "listed", + -12.472900390625 + ], + [ + "▁Rico", + -12.472941398620605 + ], + [ + "Laure", + -12.472990036010742 + ], + [ + "ATA", + -12.473112106323242 + ], + [ + "▁participer", + -12.47313117980957 + ], + [ + "▁sponsorship", + -12.473235130310059 + ], + [ + "▁distress", + -12.473286628723145 + ], + [ + "▁Brisbane", + -12.47339916229248 + ], + [ + "schönen", + -12.473437309265137 + ], + [ + "▁fizice", + -12.473465919494629 + ], + [ + "▁Political", + -12.47362232208252 + ], + [ + "uhr", + -12.473657608032227 + ], + [ + "▁procedura", + -12.473713874816895 + ], + [ + "▁hervor", + -12.473770141601562 + ], + [ + "melted", + -12.473776817321777 + ], + [ + "▁Emp", + -12.47384262084961 + ], + [ + "▁Ernährung", + -12.4739351272583 + ], + [ + "▁Pendant", + -12.473944664001465 + ], + [ + "▁recipients", + -12.474047660827637 + ], + [ + "Claude", + -12.474133491516113 + ], + [ + "▁regimen", + -12.47415828704834 + ], + [ + "expo", + -12.474346160888672 + ], + [ + "adevăr", + -12.47437858581543 + ], + [ + "▁critically", + -12.474440574645996 + ], + [ + "▁grabbe", + -12.474468231201172 + ], + [ + "▁Kann", + -12.474474906921387 + ], + [ + "▁directeur", + -12.474613189697266 + ], + [ + "gator", + -12.474908828735352 + ], + [ + "problem", + -12.474910736083984 + ], + [ + "scribe", + -12.474913597106934 + ], + [ + "▁exig", + -12.474920272827148 + ], + [ + "Tri", + -12.474969863891602 + ], + [ + "▁aqua", + -12.475631713867188 + ], + [ + "appréci", + -12.47569465637207 + ], + [ + "▁viaţă", + -12.47571849822998 + ], + [ + "▁dominate", + -12.475865364074707 + ], + [ + "disc", + -12.475889205932617 + ], + [ + "▁conseiller", + -12.47603988647461 + ], + [ + "▁shuttle", + -12.476180076599121 + ], + [ + "▁Status", + -12.47623062133789 + ], + [ + "▁ausreichend", + -12.476371765136719 + ], + [ + "▁spät", + -12.476411819458008 + ], + [ + "▁remainder", + -12.476417541503906 + ], + [ + "wett", + -12.476430892944336 + ], + [ + "schlossen", + -12.476491928100586 + ], + [ + "PAC", + -12.476505279541016 + ], + [ + "▁suprafata", + -12.476617813110352 + ], + [ + "5.000", + -12.476673126220703 + ], + [ + "supplying", + -12.47673225402832 + ], + [ + "▁uniquely", + -12.476905822753906 + ], + [ + "▁retard", + -12.476929664611816 + ], + [ + "▁Bang", + -12.477006912231445 + ], + [ + "ieuse", + -12.477087020874023 + ], + [ + "▁Ted", + -12.477248191833496 + ], + [ + "▁ermöglichen", + -12.47732925415039 + ], + [ + "▁builders", + -12.477380752563477 + ], + [ + "▁proximité", + -12.477423667907715 + ], + [ + "▁unforgettable", + -12.477423667907715 + ], + [ + "256", + -12.477446556091309 + ], + [ + "fähigkeit", + -12.477550506591797 + ], + [ + "▁procurement", + -12.477561950683594 + ], + [ + "▁Gewicht", + -12.477693557739258 + ], + [ + "▁potentiel", + -12.47778606414795 + ], + [ + "▁topping", + -12.478300094604492 + ], + [ + "▁canada", + -12.478304862976074 + ], + [ + "▁Destin", + -12.478355407714844 + ], + [ + "▁Knowing", + -12.478411674499512 + ], + [ + "▁retained", + -12.478426933288574 + ], + [ + "▁zinc", + -12.478470802307129 + ], + [ + "▁worrying", + -12.478655815124512 + ], + [ + "faţa", + -12.478676795959473 + ], + [ + "▁initi", + -12.478837966918945 + ], + [ + "ORI", + -12.4788818359375 + ], + [ + "▁refuz", + -12.478921890258789 + ], + [ + "bruch", + -12.479202270507812 + ], + [ + "▁impun", + -12.479233741760254 + ], + [ + "▁persoană", + -12.479308128356934 + ], + [ + "EAR", + -12.479347229003906 + ], + [ + "bedarf", + -12.479368209838867 + ], + [ + "▁Gebiet", + -12.47940731048584 + ], + [ + "▁Roof", + -12.479436874389648 + ], + [ + "▁negligence", + -12.47957706451416 + ], + [ + "security", + -12.479618072509766 + ], + [ + "▁accesorii", + -12.479641914367676 + ], + [ + "▁unclear", + -12.479667663574219 + ], + [ + "▁securitate", + -12.479848861694336 + ], + [ + "▁spotlight", + -12.479896545410156 + ], + [ + "▁speziell", + -12.479923248291016 + ], + [ + "▁mentally", + -12.479942321777344 + ], + [ + "▁preservation", + -12.48011589050293 + ], + [ + "▁Promotion", + -12.480156898498535 + ], + [ + "partnered", + -12.480274200439453 + ], + [ + "▁Hinter", + -12.48031997680664 + ], + [ + "▁punishment", + -12.480359077453613 + ], + [ + "▁grease", + -12.480713844299316 + ], + [ + "▁NW", + -12.480714797973633 + ], + [ + "▁curse", + -12.480897903442383 + ], + [ + "ckle", + -12.48101806640625 + ], + [ + "▁Hire", + -12.481043815612793 + ], + [ + "▁Whole", + -12.481088638305664 + ], + [ + "▁basse", + -12.481289863586426 + ], + [ + "▁DNS", + -12.481427192687988 + ], + [ + "flamm", + -12.481560707092285 + ], + [ + "▁scoop", + -12.481574058532715 + ], + [ + "Norm", + -12.481663703918457 + ], + [ + "▁Surgery", + -12.481735229492188 + ], + [ + "▁widget", + -12.481741905212402 + ], + [ + "connected", + -12.481863021850586 + ], + [ + "autorité", + -12.481961250305176 + ], + [ + "▁utilis", + -12.482096672058105 + ], + [ + "▁formă", + -12.482185363769531 + ], + [ + "▁clearing", + -12.482307434082031 + ], + [ + "▁jumătate", + -12.482815742492676 + ], + [ + "größe", + -12.482831954956055 + ], + [ + "▁Tief", + -12.482852935791016 + ], + [ + "épi", + -12.482939720153809 + ], + [ + "zunehmen", + -12.483174324035645 + ], + [ + "▁touchdown", + -12.48318099975586 + ], + [ + "▁scholarships", + -12.483236312866211 + ], + [ + "▁dementia", + -12.483319282531738 + ], + [ + "▁Jeder", + -12.48333740234375 + ], + [ + "▁nightmare", + -12.483379364013672 + ], + [ + "▁Raw", + -12.48342514038086 + ], + [ + "absorbed", + -12.483468055725098 + ], + [ + "lohnt", + -12.483484268188477 + ], + [ + "quent", + -12.483580589294434 + ], + [ + "interest", + -12.483626365661621 + ], + [ + "OSS", + -12.483649253845215 + ], + [ + "▁Leaf", + -12.483667373657227 + ], + [ + "▁timeless", + -12.48381519317627 + ], + [ + "DY", + -12.483865737915039 + ], + [ + "▁Remote", + -12.483907699584961 + ], + [ + "chner", + -12.483938217163086 + ], + [ + "▁Pam", + -12.484014511108398 + ], + [ + "urban", + -12.484060287475586 + ], + [ + "во", + -12.484146118164062 + ], + [ + "▁Kunde", + -12.484166145324707 + ], + [ + "▁Laptop", + -12.484169006347656 + ], + [ + "finder", + -12.484336853027344 + ], + [ + "▁Pole", + -12.484567642211914 + ], + [ + "2.8", + -12.484588623046875 + ], + [ + "finished", + -12.484670639038086 + ], + [ + "▁prophet", + -12.484697341918945 + ], + [ + "mailed", + -12.484758377075195 + ], + [ + "2-0", + -12.4849214553833 + ], + [ + "▁disciples", + -12.484949111938477 + ], + [ + "▁intriguing", + -12.484980583190918 + ], + [ + "IRA", + -12.485033988952637 + ], + [ + "petit", + -12.485077857971191 + ], + [ + "▁Membership", + -12.485097885131836 + ], + [ + "▁provincial", + -12.485177040100098 + ], + [ + "▁Prüfung", + -12.485292434692383 + ], + [ + "-50", + -12.485450744628906 + ], + [ + "▁cryptocurrency", + -12.485522270202637 + ], + [ + "▁journalism", + -12.485536575317383 + ], + [ + "▁Downtown", + -12.485593795776367 + ], + [ + "inserted", + -12.485655784606934 + ], + [ + "▁Direction", + -12.485718727111816 + ], + [ + "lipid", + -12.485732078552246 + ], + [ + "▁Sebastian", + -12.485793113708496 + ], + [ + "fordert", + -12.48591136932373 + ], + [ + "Originally", + -12.485989570617676 + ], + [ + "tipp", + -12.486048698425293 + ], + [ + "verantwortlich", + -12.486064910888672 + ], + [ + "▁wheelchair", + -12.486085891723633 + ], + [ + "▁structura", + -12.48609733581543 + ], + [ + "▁Danny", + -12.486138343811035 + ], + [ + "999", + -12.486284255981445 + ], + [ + "▁Schiff", + -12.486380577087402 + ], + [ + "formally", + -12.486408233642578 + ], + [ + "focused", + -12.486428260803223 + ], + [ + "▁Vater", + -12.486478805541992 + ], + [ + "▁Dear", + -12.486599922180176 + ], + [ + "▁reinforce", + -12.486794471740723 + ], + [ + "proprietar", + -12.48690414428711 + ], + [ + "▁Kyle", + -12.487004280090332 + ], + [ + "În", + -12.487015724182129 + ], + [ + "▁servir", + -12.487268447875977 + ], + [ + "length", + -12.48730754852295 + ], + [ + "▁showroom", + -12.48735237121582 + ], + [ + "reli", + -12.487473487854004 + ], + [ + "▁Brü", + -12.487529754638672 + ], + [ + "▁Schle", + -12.487634658813477 + ], + [ + "▁profond", + -12.487773895263672 + ], + [ + "▁Superior", + -12.487826347351074 + ], + [ + "▁lifted", + -12.487844467163086 + ], + [ + "highlighting", + -12.487850189208984 + ], + [ + "▁Connection", + -12.48793888092041 + ], + [ + "▁similarly", + -12.487998962402344 + ], + [ + "▁diferit", + -12.488005638122559 + ], + [ + "▁sweater", + -12.488014221191406 + ], + [ + "État", + -12.48803997039795 + ], + [ + "rooted", + -12.488069534301758 + ], + [ + "▁sleeves", + -12.488236427307129 + ], + [ + "де", + -12.488264083862305 + ], + [ + "▁Laboratory", + -12.488265991210938 + ], + [ + "ündig", + -12.488719940185547 + ], + [ + "▁Viking", + -12.488741874694824 + ], + [ + "▁Origin", + -12.48878002166748 + ], + [ + "▁vibr", + -12.488812446594238 + ], + [ + "199", + -12.488974571228027 + ], + [ + "▁yummy", + -12.489001274108887 + ], + [ + "STAR", + -12.489140510559082 + ], + [ + "▁repro", + -12.489152908325195 + ], + [ + "▁Kirchen", + -12.489229202270508 + ], + [ + "hopper", + -12.48925495147705 + ], + [ + "zza", + -12.489335060119629 + ], + [ + "▁vitesse", + -12.48934555053711 + ], + [ + "▁minimalist", + -12.489412307739258 + ], + [ + "▁Election", + -12.489420890808105 + ], + [ + "draw", + -12.489501953125 + ], + [ + "▁candles", + -12.48959732055664 + ], + [ + "▁Mund", + -12.489615440368652 + ], + [ + "urged", + -12.489901542663574 + ], + [ + "▁cânt", + -12.489917755126953 + ], + [ + "Ultimately", + -12.49002742767334 + ], + [ + "▁Lift", + -12.490124702453613 + ], + [ + "loaded", + -12.490334510803223 + ], + [ + "demand", + -12.490508079528809 + ], + [ + "▁aleg", + -12.490621566772461 + ], + [ + "▁Discovery", + -12.490755081176758 + ], + [ + "▁Vienna", + -12.490960121154785 + ], + [ + "▁Kategorie", + -12.490961074829102 + ], + [ + "▁Cotton", + -12.490962028503418 + ], + [ + "▁$200", + -12.491043090820312 + ], + [ + "▁Drei", + -12.491052627563477 + ], + [ + "▁reicht", + -12.491168975830078 + ], + [ + "speicher", + -12.491231918334961 + ], + [ + "▁Immobilien", + -12.491483688354492 + ], + [ + "gefühl", + -12.491509437561035 + ], + [ + "make", + -12.491525650024414 + ], + [ + "pell", + -12.49155044555664 + ], + [ + "▁dull", + -12.491598129272461 + ], + [ + "▁arbeitet", + -12.491681098937988 + ], + [ + "retaining", + -12.491700172424316 + ], + [ + "losen", + -12.491707801818848 + ], + [ + "match", + -12.491876602172852 + ], + [ + "-60", + -12.491880416870117 + ], + [ + "▁ecological", + -12.492000579833984 + ], + [ + "▁vend", + -12.492051124572754 + ], + [ + "▁grammar", + -12.492061614990234 + ], + [ + "▁1:1", + -12.492225646972656 + ], + [ + "grilled", + -12.492279052734375 + ], + [ + "geordnet", + -12.492321014404297 + ], + [ + "▁Pav", + -12.49236011505127 + ], + [ + "▁Depot", + -12.492368698120117 + ], + [ + "▁Walking", + -12.492372512817383 + ], + [ + "teamed", + -12.492402076721191 + ], + [ + "▁torque", + -12.492537498474121 + ], + [ + "▁Venture", + -12.492659568786621 + ], + [ + "▁beginner", + -12.49269962310791 + ], + [ + "▁Monaten", + -12.492712020874023 + ], + [ + "▁Pune", + -12.493054389953613 + ], + [ + "connect", + -12.493075370788574 + ], + [ + "▁textbook", + -12.493132591247559 + ], + [ + "▁unprecedented", + -12.49314022064209 + ], + [ + "▁implied", + -12.493168830871582 + ], + [ + "▁cubic", + -12.493668556213379 + ], + [ + "enthält", + -12.493696212768555 + ], + [ + "▁Brenn", + -12.49388313293457 + ], + [ + "▁Expect", + -12.49394416809082 + ], + [ + "▁lever", + -12.4939603805542 + ], + [ + "veux", + -12.49399185180664 + ], + [ + "▁Claire", + -12.494112968444824 + ], + [ + "Acc", + -12.49432373046875 + ], + [ + "▁Typ", + -12.494478225708008 + ], + [ + "▁smoothie", + -12.494501113891602 + ], + [ + "▁Idaho", + -12.494780540466309 + ], + [ + "▁spati", + -12.494802474975586 + ], + [ + "▁bénéficier", + -12.49488353729248 + ], + [ + "▁Kle", + -12.495161056518555 + ], + [ + "▁serviciilor", + -12.495169639587402 + ], + [ + "▁prohibit", + -12.495267868041992 + ], + [ + "EAD", + -12.495417594909668 + ], + [ + "▁Turner", + -12.495418548583984 + ], + [ + "▁elibera", + -12.49543571472168 + ], + [ + "▁payday", + -12.495464324951172 + ], + [ + "▁prolong", + -12.495466232299805 + ], + [ + "▁sued", + -12.495481491088867 + ], + [ + "▁Devil", + -12.495536804199219 + ], + [ + "▁Skills", + -12.495552062988281 + ], + [ + "▁Marcel", + -12.495553970336914 + ], + [ + "▁silhouette", + -12.495601654052734 + ], + [ + "▁preț", + -12.495742797851562 + ], + [ + "▁Gö", + -12.495747566223145 + ], + [ + "▁Creator", + -12.495774269104004 + ], + [ + "fed", + -12.4959077835083 + ], + [ + "Cap", + -12.495997428894043 + ], + [ + "▁dedicate", + -12.496042251586914 + ], + [ + "0000", + -12.496124267578125 + ], + [ + "▁VAT", + -12.496259689331055 + ], + [ + "▁Firefox", + -12.496443748474121 + ], + [ + "▁therapies", + -12.496477127075195 + ], + [ + "▁screws", + -12.496662139892578 + ], + [ + "▁Province", + -12.496697425842285 + ], + [ + "▁problematic", + -12.496871948242188 + ], + [ + "▁Vid", + -12.496915817260742 + ], + [ + "▁Lost", + -12.496950149536133 + ], + [ + "▁elegance", + -12.497520446777344 + ], + [ + "▁Elegant", + -12.497525215148926 + ], + [ + "ignant", + -12.497573852539062 + ], + [ + "▁darin", + -12.497649192810059 + ], + [ + "▁anonym", + -12.497669219970703 + ], + [ + "▁vegeta", + -12.49767780303955 + ], + [ + "incoming", + -12.497762680053711 + ], + [ + "▁pills", + -12.497846603393555 + ], + [ + "governing", + -12.497893333435059 + ], + [ + "▁Haven", + -12.497920989990234 + ], + [ + "paper", + -12.497947692871094 + ], + [ + "räume", + -12.497979164123535 + ], + [ + "paw", + -12.498099327087402 + ], + [ + "▁spelling", + -12.498283386230469 + ], + [ + "ambele", + -12.498318672180176 + ], + [ + "▁reprezentat", + -12.498371124267578 + ], + [ + "▁mâ", + -12.49853515625 + ], + [ + "wirtschaftliche", + -12.498558044433594 + ], + [ + "▁valabil", + -12.498579025268555 + ], + [ + "▁konkret", + -12.498618125915527 + ], + [ + "▁financier", + -12.498619079589844 + ], + [ + "▁irre", + -12.499135971069336 + ], + [ + "▁Silicon", + -12.499171257019043 + ], + [ + "Viv", + -12.499181747436523 + ], + [ + "▁viruses", + -12.49927043914795 + ], + [ + "▁CNN", + -12.499324798583984 + ], + [ + "▁erleben", + -12.499482154846191 + ], + [ + "gina", + -12.499492645263672 + ], + [ + "punctul", + -12.49951457977295 + ], + [ + "▁Sfânt", + -12.499753952026367 + ], + [ + "▁Manage", + -12.499811172485352 + ], + [ + "▁payable", + -12.499984741210938 + ], + [ + "▁practitioner", + -12.500143051147461 + ], + [ + "▁conférence", + -12.50026798248291 + ], + [ + "▁drought", + -12.50027084350586 + ], + [ + "▁devote", + -12.500361442565918 + ], + [ + "wertung", + -12.500420570373535 + ], + [ + "stabil", + -12.5004301071167 + ], + [ + "▁balcon", + -12.500553131103516 + ], + [ + "▁Lebensmittel", + -12.500603675842285 + ], + [ + "COL", + -12.500950813293457 + ], + [ + "▁Domnul", + -12.501093864440918 + ], + [ + "carved", + -12.501359939575195 + ], + [ + "▁preparat", + -12.5014009475708 + ], + [ + "101", + -12.501537322998047 + ], + [ + "▁specimen", + -12.501580238342285 + ], + [ + "urgeon", + -12.501596450805664 + ], + [ + "LIC", + -12.50163459777832 + ], + [ + "Plattform", + -12.501643180847168 + ], + [ + "▁ramas", + -12.501739501953125 + ], + [ + "▁copilului", + -12.501791954040527 + ], + [ + "bacter", + -12.501812934875488 + ], + [ + "körper", + -12.501940727233887 + ], + [ + "▁Kru", + -12.501981735229492 + ], + [ + "▁Employ", + -12.502055168151855 + ], + [ + "office", + -12.502080917358398 + ], + [ + "▁simmer", + -12.502120018005371 + ], + [ + "qualität", + -12.502137184143066 + ], + [ + "▁freshly", + -12.502215385437012 + ], + [ + "▁Nine", + -12.50223159790039 + ], + [ + "▁tonnes", + -12.50223445892334 + ], + [ + "boden", + -12.502236366271973 + ], + [ + "enquête", + -12.50240707397461 + ], + [ + "▁Colour", + -12.502481460571289 + ], + [ + "▁Diagram", + -12.502495765686035 + ], + [ + "▁gewählt", + -12.502516746520996 + ], + [ + "▁viitoare", + -12.502538681030273 + ], + [ + "▁reporters", + -12.502913475036621 + ], + [ + "guer", + -12.502991676330566 + ], + [ + "▁Kombination", + -12.503021240234375 + ], + [ + "▁qualitative", + -12.50302505493164 + ], + [ + "Centrul", + -12.503131866455078 + ], + [ + "avy", + -12.503170013427734 + ], + [ + "▁Eng", + -12.503175735473633 + ], + [ + "▁sufletul", + -12.50327205657959 + ], + [ + "▁germ", + -12.503412246704102 + ], + [ + "▁prevented", + -12.503448486328125 + ], + [ + "appelle", + -12.503533363342285 + ], + [ + "gins", + -12.503556251525879 + ], + [ + "▁Skype", + -12.503585815429688 + ], + [ + "conditioned", + -12.503617286682129 + ], + [ + "▁clutch", + -12.503641128540039 + ], + [ + "environ", + -12.503694534301758 + ], + [ + "3.3", + -12.503774642944336 + ], + [ + "▁webinar", + -12.503866195678711 + ], + [ + "▁forty", + -12.504104614257812 + ], + [ + "▁Medicaid", + -12.504127502441406 + ], + [ + "▁dismissed", + -12.504167556762695 + ], + [ + "▁siblings", + -12.504168510437012 + ], + [ + "▁Jaw", + -12.504196166992188 + ], + [ + "guiding", + -12.504220962524414 + ], + [ + "cigarette", + -12.504374504089355 + ], + [ + "▁Shah", + -12.504681587219238 + ], + [ + "▁Lehrer", + -12.504684448242188 + ], + [ + "▁muscular", + -12.504694938659668 + ], + [ + "spatele", + -12.504796981811523 + ], + [ + "▁réduction", + -12.504836082458496 + ], + [ + "▁fixes", + -12.504851341247559 + ], + [ + "Span", + -12.50511646270752 + ], + [ + "▁Hudson", + -12.505231857299805 + ], + [ + "development", + -12.505250930786133 + ], + [ + "▁excluded", + -12.50525951385498 + ], + [ + "Democrat", + -12.505260467529297 + ], + [ + "▁nominal", + -12.505317687988281 + ], + [ + "purpose", + -12.50540828704834 + ], + [ + "▁bored", + -12.505500793457031 + ], + [ + "espèce", + -12.50550651550293 + ], + [ + "▁(30", + -12.5055570602417 + ], + [ + "Neither", + -12.505608558654785 + ], + [ + "hänge", + -12.505610466003418 + ], + [ + "square", + -12.505728721618652 + ], + [ + "voller", + -12.505736351013184 + ], + [ + "▁pertinent", + -12.505783081054688 + ], + [ + "▁Wool", + -12.50595474243164 + ], + [ + "settling", + -12.50607681274414 + ], + [ + "fangen", + -12.506148338317871 + ], + [ + "▁Testing", + -12.506152153015137 + ], + [ + "distin", + -12.506196022033691 + ], + [ + "▁Marken", + -12.506227493286133 + ], + [ + "▁Beta", + -12.506300926208496 + ], + [ + "▁fulfilling", + -12.506339073181152 + ], + [ + "Leider", + -12.506357192993164 + ], + [ + "black", + -12.506389617919922 + ], + [ + "occupe", + -12.50658893585205 + ], + [ + "itățile", + -12.506688117980957 + ], + [ + "Pay", + -12.506887435913086 + ], + [ + "▁bandwidth", + -12.506890296936035 + ], + [ + "▁neighbourhood", + -12.506918907165527 + ], + [ + "▁Gutschein", + -12.506922721862793 + ], + [ + "degree", + -12.507055282592773 + ], + [ + "ivité", + -12.507116317749023 + ], + [ + "4.1", + -12.507169723510742 + ], + [ + "▁tätig", + -12.507170677185059 + ], + [ + "topic", + -12.507242202758789 + ], + [ + "ätz", + -12.507243156433105 + ], + [ + "these", + -12.50733470916748 + ], + [ + "▁propriété", + -12.507438659667969 + ], + [ + "▁innings", + -12.507458686828613 + ], + [ + "▁Prevention", + -12.50754165649414 + ], + [ + "▁Saw", + -12.507585525512695 + ], + [ + "▁opener", + -12.507752418518066 + ], + [ + "entwicklung", + -12.507824897766113 + ], + [ + "▁Johann", + -12.507865905761719 + ], + [ + "▁statistic", + -12.507881164550781 + ], + [ + "oids", + -12.507966995239258 + ], + [ + "▁Delaware", + -12.508000373840332 + ], + [ + "▁Isle", + -12.508001327514648 + ], + [ + "▁accompagn", + -12.508028984069824 + ], + [ + "▁Risiko", + -12.508079528808594 + ], + [ + "▁Conform", + -12.508268356323242 + ], + [ + "zeichnen", + -12.508395195007324 + ], + [ + "▁acuz", + -12.508479118347168 + ], + [ + "▁Mort", + -12.508524894714355 + ], + [ + "Fällen", + -12.50853157043457 + ], + [ + "▁blended", + -12.50871467590332 + ], + [ + "found", + -12.50872802734375 + ], + [ + "▁gestalten", + -12.50874137878418 + ], + [ + "▁Découvrez", + -12.508830070495605 + ], + [ + "▁Wett", + -12.508956909179688 + ], + [ + "▁débat", + -12.508990287780762 + ], + [ + "▁Tire", + -12.509007453918457 + ], + [ + "benz", + -12.509037017822266 + ], + [ + "Yes", + -12.509074211120605 + ], + [ + "▁pierde", + -12.509110450744629 + ], + [ + "▁niciodata", + -12.509121894836426 + ], + [ + "▁precipit", + -12.509145736694336 + ], + [ + "▁lazy", + -12.509334564208984 + ], + [ + "▁creature", + -12.509370803833008 + ], + [ + "Wettbewerb", + -12.509385108947754 + ], + [ + "▁Explo", + -12.509496688842773 + ], + [ + "wolf", + -12.509657859802246 + ], + [ + "▁conséquence", + -12.509662628173828 + ], + [ + "▁jewellery", + -12.509662628173828 + ], + [ + "▁Extension", + -12.509735107421875 + ], + [ + "▁transmitted", + -12.509872436523438 + ], + [ + "▁darker", + -12.509973526000977 + ], + [ + "▁simbol", + -12.510065078735352 + ], + [ + "kim", + -12.510069847106934 + ], + [ + "▁proteja", + -12.510098457336426 + ], + [ + "▁Copper", + -12.510189056396484 + ], + [ + "mitglied", + -12.510218620300293 + ], + [ + "▁explosive", + -12.510222434997559 + ], + [ + "▁Nicolae", + -12.510223388671875 + ], + [ + "▁intricate", + -12.510231971740723 + ], + [ + "lati", + -12.510313034057617 + ], + [ + "Mark", + -12.510334014892578 + ], + [ + "▁Porsche", + -12.510339736938477 + ], + [ + "▁Revenue", + -12.510479927062988 + ], + [ + "4.2", + -12.510613441467285 + ], + [ + "certain", + -12.510836601257324 + ], + [ + "▁Coaching", + -12.510879516601562 + ], + [ + "▁allocated", + -12.510879516601562 + ], + [ + "▁optimiz", + -12.511017799377441 + ], + [ + "▁heel", + -12.511205673217773 + ], + [ + "▁indigenous", + -12.511330604553223 + ], + [ + "▁vineri", + -12.511396408081055 + ], + [ + "▁Inspector", + -12.51145076751709 + ], + [ + "▁colleague", + -12.5115327835083 + ], + [ + "ANG", + -12.511649131774902 + ], + [ + "éducation", + -12.511887550354004 + ], + [ + "▁Geschenk", + -12.51188850402832 + ], + [ + "channel", + -12.511899948120117 + ], + [ + "▁trapped", + -12.511954307556152 + ], + [ + "BF", + -12.511974334716797 + ], + [ + "▁firing", + -12.512086868286133 + ], + [ + "▁chlor", + -12.512103080749512 + ], + [ + "▁Carlos", + -12.512115478515625 + ], + [ + "▁proxy", + -12.512128829956055 + ], + [ + "▁pinch", + -12.512167930603027 + ], + [ + "▁Pete", + -12.512201309204102 + ], + [ + "phospho", + -12.512458801269531 + ], + [ + "▁waiver", + -12.51246452331543 + ], + [ + "▁Croatia", + -12.512480735778809 + ], + [ + "▁behave", + -12.51258373260498 + ], + [ + "▁frig", + -12.512676239013672 + ], + [ + "▁Vorteil", + -12.51279067993164 + ], + [ + "▁wichtiger", + -12.512837409973145 + ], + [ + "........", + -12.512929916381836 + ], + [ + "▁flick", + -12.513007164001465 + ], + [ + "▁Stanford", + -12.51306438446045 + ], + [ + "öse", + -12.513096809387207 + ], + [ + "▁Fernseh", + -12.513099670410156 + ], + [ + "▁vélo", + -12.51322078704834 + ], + [ + "reisen", + -12.513304710388184 + ], + [ + "residing", + -12.513504981994629 + ], + [ + "▁Taste", + -12.513580322265625 + ], + [ + "▁disappeared", + -12.513630867004395 + ], + [ + "▁Hood", + -12.513776779174805 + ], + [ + "▁fabriqu", + -12.514046669006348 + ], + [ + "▁Jake", + -12.514470100402832 + ], + [ + "Lastly", + -12.51462173461914 + ], + [ + "▁furnace", + -12.514673233032227 + ], + [ + "▁Ottawa", + -12.51473331451416 + ], + [ + "▁dictate", + -12.514742851257324 + ], + [ + "zece", + -12.514817237854004 + ], + [ + "protect", + -12.514932632446289 + ], + [ + "FU", + -12.51495361328125 + ], + [ + "Stack", + -12.514954566955566 + ], + [ + "▁teilweise", + -12.515018463134766 + ], + [ + "▁Publisher", + -12.51506233215332 + ], + [ + "▁lutte", + -12.515159606933594 + ], + [ + "202", + -12.515178680419922 + ], + [ + "psy", + -12.515190124511719 + ], + [ + "▁wünschen", + -12.515238761901855 + ], + [ + "▁pathways", + -12.515356063842773 + ], + [ + "ivitate", + -12.515559196472168 + ], + [ + "▁continuă", + -12.515658378601074 + ], + [ + "ziemlich", + -12.515791893005371 + ], + [ + "verted", + -12.515812873840332 + ], + [ + "▁sequel", + -12.515839576721191 + ], + [ + "tinct", + -12.51599407196045 + ], + [ + "vette", + -12.516020774841309 + ], + [ + "▁exceeding", + -12.516032218933105 + ], + [ + "▁Yorkshire", + -12.51607608795166 + ], + [ + "▁cleanse", + -12.51613998413086 + ], + [ + "Sadly", + -12.516159057617188 + ], + [ + "▁präsentiert", + -12.516164779663086 + ], + [ + "angled", + -12.516311645507812 + ], + [ + "tude", + -12.516339302062988 + ], + [ + "chain", + -12.516371726989746 + ], + [ + "▁Oakland", + -12.51639175415039 + ], + [ + "xia", + -12.516514778137207 + ], + [ + "▁foremost", + -12.51653003692627 + ], + [ + "▁incomplete", + -12.516786575317383 + ], + [ + "▁restriction", + -12.516905784606934 + ], + [ + "▁whatsoever", + -12.516908645629883 + ], + [ + "▁shipment", + -12.517017364501953 + ], + [ + "**", + -12.517059326171875 + ], + [ + "Aici", + -12.517110824584961 + ], + [ + "PART", + -12.517247200012207 + ], + [ + "▁grams", + -12.517251014709473 + ], + [ + "▁Folk", + -12.517457008361816 + ], + [ + "▁encryption", + -12.517467498779297 + ], + [ + "▁Alfred", + -12.517748832702637 + ], + [ + "▁Veränderung", + -12.517749786376953 + ], + [ + "▁privately", + -12.517817497253418 + ], + [ + "£", + -12.517909049987793 + ], + [ + "▁Sonne", + -12.51799201965332 + ], + [ + "kow", + -12.518117904663086 + ], + [ + "▁CBS", + -12.518172264099121 + ], + [ + "▁Feuer", + -12.518198013305664 + ], + [ + "▁crushed", + -12.518230438232422 + ], + [ + "▁cazare", + -12.518270492553711 + ], + [ + "▁beraten", + -12.518401145935059 + ], + [ + "envoi", + -12.518423080444336 + ], + [ + "▁genannt", + -12.51843547821045 + ], + [ + "▁Lok", + -12.518472671508789 + ], + [ + "nox", + -12.518569946289062 + ], + [ + "wishing", + -12.518759727478027 + ], + [ + "▁freak", + -12.518759727478027 + ], + [ + "rasi", + -12.51879596710205 + ], + [ + "▁calculations", + -12.518888473510742 + ], + [ + "▁sprechen", + -12.51890754699707 + ], + [ + "5:00", + -12.519062042236328 + ], + [ + "▁Gam", + -12.519074440002441 + ], + [ + "▁invasion", + -12.519159317016602 + ], + [ + "ZA", + -12.519230842590332 + ], + [ + "aiming", + -12.519327163696289 + ], + [ + "▁näher", + -12.519404411315918 + ], + [ + "▁Maßnahmen", + -12.519433975219727 + ], + [ + "▁măsură", + -12.519490242004395 + ], + [ + "▁Bestellung", + -12.519610404968262 + ], + [ + "▁gown", + -12.519665718078613 + ], + [ + "▁oblige", + -12.519747734069824 + ], + [ + "länder", + -12.51977825164795 + ], + [ + "posi", + -12.519853591918945 + ], + [ + "▁Earn", + -12.51988410949707 + ], + [ + "▁dubl", + -12.51999282836914 + ], + [ + "▁sticky", + -12.520100593566895 + ], + [ + "▁litter", + -12.520181655883789 + ], + [ + "▁Salz", + -12.520257949829102 + ], + [ + "▁Matter", + -12.520272254943848 + ], + [ + "▁Driving", + -12.520275115966797 + ], + [ + "▁pursu", + -12.520285606384277 + ], + [ + "ographer", + -12.520390510559082 + ], + [ + "▁touring", + -12.520400047302246 + ], + [ + "opter", + -12.520444869995117 + ], + [ + "▁fierce", + -12.520475387573242 + ], + [ + "▁Audit", + -12.520480155944824 + ], + [ + "▁imperi", + -12.520755767822266 + ], + [ + "▁positiv", + -12.520780563354492 + ], + [ + "règles", + -12.520849227905273 + ], + [ + "▁bouton", + -12.520990371704102 + ], + [ + "▁victorie", + -12.520990371704102 + ], + [ + "▁manuel", + -12.521015167236328 + ], + [ + "▁await", + -12.52103042602539 + ], + [ + "▁transformer", + -12.521041870117188 + ], + [ + "▁cupboard", + -12.52108383178711 + ], + [ + "▁Hag", + -12.521117210388184 + ], + [ + "naj", + -12.521214485168457 + ], + [ + "▁annoncé", + -12.52139663696289 + ], + [ + "▁scolaire", + -12.521401405334473 + ], + [ + "▁étape", + -12.521482467651367 + ], + [ + "▁pirate", + -12.521761894226074 + ], + [ + "▁Rated", + -12.521794319152832 + ], + [ + "LOT", + -12.521846771240234 + ], + [ + "▁natura", + -12.521944046020508 + ], + [ + "oga", + -12.522336959838867 + ], + [ + "Read", + -12.522388458251953 + ], + [ + "idio", + -12.522444725036621 + ], + [ + "▁recession", + -12.522698402404785 + ], + [ + "veţi", + -12.522761344909668 + ], + [ + "▁blossom", + -12.523082733154297 + ], + [ + "▁lunar", + -12.523141860961914 + ], + [ + "▁inhibit", + -12.52316951751709 + ], + [ + "gemein", + -12.523219108581543 + ], + [ + "▁Historic", + -12.523262023925781 + ], + [ + "▁HTTP", + -12.523370742797852 + ], + [ + "misiune", + -12.5234956741333 + ], + [ + "▁Manda", + -12.523601531982422 + ], + [ + "▁Hurricane", + -12.523643493652344 + ], + [ + "Strat", + -12.523646354675293 + ], + [ + "▁populaire", + -12.523756980895996 + ], + [ + "▁useless", + -12.523762702941895 + ], + [ + "▁Leipzig", + -12.523924827575684 + ], + [ + "▁Krankheit", + -12.52392578125 + ], + [ + "▁Bonne", + -12.52397346496582 + ], + [ + "▁tissu", + -12.52399730682373 + ], + [ + "▁Baum", + -12.523998260498047 + ], + [ + "▁BUT", + -12.524152755737305 + ], + [ + "▁Mondial", + -12.52423095703125 + ], + [ + "▁triangle", + -12.524242401123047 + ], + [ + "▁Tesla", + -12.524250984191895 + ], + [ + "▁pământ", + -12.52430534362793 + ], + [ + "▁aminte", + -12.524726867675781 + ], + [ + "▁vehicul", + -12.524770736694336 + ], + [ + "▁cerut", + -12.52482795715332 + ], + [ + "▁respiratory", + -12.524836540222168 + ], + [ + "▁rayon", + -12.524993896484375 + ], + [ + "▁gestaltet", + -12.525067329406738 + ], + [ + "310", + -12.525139808654785 + ], + [ + "pfl", + -12.525239944458008 + ], + [ + "▁shrimp", + -12.525337219238281 + ], + [ + "▁reconnu", + -12.525409698486328 + ], + [ + "ologique", + -12.525476455688477 + ], + [ + "▁unity", + -12.525674819946289 + ], + [ + "Speicher", + -12.52569580078125 + ], + [ + "▁Movement", + -12.525794982910156 + ], + [ + "ddling", + -12.52581787109375 + ], + [ + "OE", + -12.525818824768066 + ], + [ + "▁Resolution", + -12.525863647460938 + ], + [ + "esteem", + -12.525898933410645 + ], + [ + "▁Teen", + -12.526288986206055 + ], + [ + "▁believing", + -12.526463508605957 + ], + [ + "▁Tipps", + -12.526481628417969 + ], + [ + "jpg", + -12.526494026184082 + ], + [ + "▁obs", + -12.526519775390625 + ], + [ + "SHA", + -12.526702880859375 + ], + [ + "▁quietly", + -12.526907920837402 + ], + [ + "setting", + -12.52712345123291 + ], + [ + "▁elevator", + -12.527185440063477 + ], + [ + "phor", + -12.527194023132324 + ], + [ + "Just", + -12.52725887298584 + ], + [ + "▁legatura", + -12.52739143371582 + ], + [ + "elected", + -12.527414321899414 + ], + [ + "▁disclosed", + -12.527419090270996 + ], + [ + "quarter", + -12.52743148803711 + ], + [ + "zzy", + -12.527461051940918 + ], + [ + "▁gata", + -12.527491569519043 + ], + [ + "SAN", + -12.527532577514648 + ], + [ + "▁Cathedral", + -12.527592658996582 + ], + [ + "192", + -12.527656555175781 + ], + [ + "▁RBI", + -12.527726173400879 + ], + [ + "▁Seller", + -12.527798652648926 + ], + [ + "▁urine", + -12.527807235717773 + ], + [ + "▁Hardware", + -12.527966499328613 + ], + [ + "▁steadi", + -12.527993202209473 + ], + [ + "percussion", + -12.528158187866211 + ], + [ + "▁francez", + -12.528172492980957 + ], + [ + "▁rude", + -12.528202056884766 + ], + [ + "bod", + -12.528223037719727 + ], + [ + "cession", + -12.528249740600586 + ], + [ + "▁HTC", + -12.528372764587402 + ], + [ + "HB", + -12.528576850891113 + ], + [ + "▁descent", + -12.528644561767578 + ], + [ + "▁Painting", + -12.528681755065918 + ], + [ + "119", + -12.528684616088867 + ], + [ + "sagen", + -12.52877426147461 + ], + [ + "▁salvation", + -12.52880573272705 + ], + [ + "arro", + -12.528814315795898 + ], + [ + "0.3", + -12.52886962890625 + ], + [ + "▁Duck", + -12.52890396118164 + ], + [ + "Mit", + -12.529052734375 + ], + [ + "да", + -12.52927017211914 + ], + [ + "▁Diesel", + -12.529322624206543 + ], + [ + "▁Medal", + -12.529413223266602 + ], + [ + "▁interim", + -12.529439926147461 + ], + [ + "▁montagne", + -12.529439926147461 + ], + [ + "▁Pixel", + -12.529631614685059 + ], + [ + "LINE", + -12.529806137084961 + ], + [ + "▁dureri", + -12.529938697814941 + ], + [ + "▁Bengal", + -12.529990196228027 + ], + [ + "Legea", + -12.530080795288086 + ], + [ + "▁Strecke", + -12.530094146728516 + ], + [ + "▁schneller", + -12.53012752532959 + ], + [ + "▁Karten", + -12.5301513671875 + ], + [ + "cion", + -12.530241966247559 + ], + [ + "▁Coco", + -12.53037166595459 + ], + [ + "troisième", + -12.53052806854248 + ], + [ + "401", + -12.530616760253906 + ], + [ + "▁sandwiches", + -12.530704498291016 + ], + [ + "▁folosind", + -12.530920028686523 + ], + [ + "▁Folgen", + -12.530953407287598 + ], + [ + "▁triumph", + -12.530991554260254 + ], + [ + "▁Hintergrund", + -12.530996322631836 + ], + [ + "▁revelation", + -12.531084060668945 + ], + [ + "ôme", + -12.531222343444824 + ], + [ + "▁Nex", + -12.531245231628418 + ], + [ + "jährigen", + -12.531295776367188 + ], + [ + "▁militant", + -12.531296730041504 + ], + [ + "▁fabricant", + -12.531671524047852 + ], + [ + "iano", + -12.531713485717773 + ], + [ + "▁formulation", + -12.53188705444336 + ], + [ + "integrating", + -12.532050132751465 + ], + [ + "▁Items", + -12.532142639160156 + ], + [ + "▁contractual", + -12.532320976257324 + ], + [ + "AIDS", + -12.532424926757812 + ], + [ + "▁pitcher", + -12.532610893249512 + ], + [ + "▁Snap", + -12.532623291015625 + ], + [ + "▁systematic", + -12.532663345336914 + ], + [ + "▁referendum", + -12.532694816589355 + ], + [ + "gau", + -12.53281021118164 + ], + [ + "administration", + -12.532917022705078 + ], + [ + "▁speci", + -12.532981872558594 + ], + [ + "ieni", + -12.532998085021973 + ], + [ + "prox", + -12.533186912536621 + ], + [ + "▁bouquet", + -12.533241271972656 + ], + [ + "▁sinnvoll", + -12.533270835876465 + ], + [ + "▁Fleisch", + -12.533309936523438 + ], + [ + "ktuell", + -12.533381462097168 + ], + [ + "▁mushrooms", + -12.533408164978027 + ], + [ + "▁Straf", + -12.533470153808594 + ], + [ + "▁cresc", + -12.533491134643555 + ], + [ + "TEM", + -12.533502578735352 + ], + [ + "▁vindec", + -12.53352165222168 + ], + [ + "▁Drama", + -12.533540725708008 + ], + [ + "chief", + -12.533550262451172 + ], + [ + "▁müsst", + -12.533614158630371 + ], + [ + "▁Warner", + -12.533662796020508 + ], + [ + "118", + -12.533761024475098 + ], + [ + "▁saptamana", + -12.533831596374512 + ], + [ + "▁animaux", + -12.53412914276123 + ], + [ + "▁Directory", + -12.534146308898926 + ], + [ + "▁entgegen", + -12.53415584564209 + ], + [ + "▁deduction", + -12.534156799316406 + ], + [ + "▁Strategic", + -12.53426456451416 + ], + [ + "▁rats", + -12.534419059753418 + ], + [ + "▁Moses", + -12.534448623657227 + ], + [ + "eko", + -12.534564971923828 + ], + [ + "strict", + -12.534590721130371 + ], + [ + "▁Ashley", + -12.534603118896484 + ], + [ + "mik", + -12.534622192382812 + ], + [ + "▁relocate", + -12.534668922424316 + ], + [ + "▁whip", + -12.534738540649414 + ], + [ + "central", + -12.534750938415527 + ], + [ + "mack", + -12.534892082214355 + ], + [ + "stufe", + -12.534961700439453 + ], + [ + "▁Metropolitan", + -12.5349702835083 + ], + [ + "▁croissance", + -12.534974098205566 + ], + [ + "▁celebrities", + -12.535021781921387 + ], + [ + "▁Geh", + -12.53507137298584 + ], + [ + "▁verifica", + -12.535196304321289 + ], + [ + "▁satisfac", + -12.535211563110352 + ], + [ + "▁Julian", + -12.535271644592285 + ], + [ + "▁remotely", + -12.535432815551758 + ], + [ + "▁Safari", + -12.535542488098145 + ], + [ + "▁Chic", + -12.53557014465332 + ], + [ + "▁clamp", + -12.535818099975586 + ], + [ + "▁Schnee", + -12.535918235778809 + ], + [ + "grown", + -12.536069869995117 + ], + [ + "▁Character", + -12.536110877990723 + ], + [ + "▁charities", + -12.536137580871582 + ], + [ + "Thankfully", + -12.536625862121582 + ], + [ + "▁țară", + -12.53681468963623 + ], + [ + "IZ", + -12.536816596984863 + ], + [ + "Vielleicht", + -12.536999702453613 + ], + [ + "▁Pon", + -12.537108421325684 + ], + [ + "gegen", + -12.53711986541748 + ], + [ + "chez", + -12.537185668945312 + ], + [ + "Black", + -12.537544250488281 + ], + [ + "▁alimentare", + -12.537555694580078 + ], + [ + "▁verloren", + -12.537562370300293 + ], + [ + "▁predictions", + -12.537657737731934 + ], + [ + "Founded", + -12.53795337677002 + ], + [ + "▁femeie", + -12.538022994995117 + ], + [ + "wahrscheinlich", + -12.538107872009277 + ], + [ + "▁squeeze", + -12.53819465637207 + ], + [ + "▁verfügbar", + -12.538259506225586 + ], + [ + "▁hygiene", + -12.538393020629883 + ], + [ + "voire", + -12.538667678833008 + ], + [ + "▁birou", + -12.538901329040527 + ], + [ + "▁initiate", + -12.538921356201172 + ], + [ + "▁Patriot", + -12.539009094238281 + ], + [ + "▁Income", + -12.539159774780273 + ], + [ + "▁marry", + -12.539310455322266 + ], + [ + "lokal", + -12.539336204528809 + ], + [ + "logic", + -12.53940486907959 + ], + [ + "▁Abstract", + -12.53966236114502 + ], + [ + "▁grundsätzlich", + -12.539822578430176 + ], + [ + "▁tariff", + -12.539886474609375 + ], + [ + "▁definitiv", + -12.539892196655273 + ], + [ + "paz", + -12.53989315032959 + ], + [ + "Result", + -12.539921760559082 + ], + [ + "1:30", + -12.54005241394043 + ], + [ + "▁Latest", + -12.540075302124023 + ], + [ + "▁Dauer", + -12.540155410766602 + ], + [ + "Med", + -12.540275573730469 + ], + [ + "gewicht", + -12.540348052978516 + ], + [ + "▁Gaza", + -12.540430068969727 + ], + [ + "▁Newton", + -12.540769577026367 + ], + [ + "Dokument", + -12.540897369384766 + ], + [ + "formular", + -12.540945053100586 + ], + [ + "ILE", + -12.540964126586914 + ], + [ + "▁surse", + -12.541040420532227 + ], + [ + "MH", + -12.54116153717041 + ], + [ + "▁Arctic", + -12.541255950927734 + ], + [ + "▁ISBN", + -12.541274070739746 + ], + [ + "▁quarterback", + -12.541315078735352 + ], + [ + "▁absurd", + -12.541555404663086 + ], + [ + "▁Zusammenhang", + -12.541561126708984 + ], + [ + "▁Module", + -12.54156494140625 + ], + [ + "mented", + -12.541667938232422 + ], + [ + "worthy", + -12.541797637939453 + ], + [ + "▁célèbre", + -12.541828155517578 + ], + [ + "▁maritime", + -12.541836738586426 + ], + [ + "▁Reed", + -12.541938781738281 + ], + [ + "▁threaten", + -12.542037010192871 + ], + [ + "▁Satz", + -12.542095184326172 + ], + [ + "▁sticking", + -12.542203903198242 + ], + [ + "▁transcript", + -12.542372703552246 + ], + [ + "▁Morgen", + -12.542425155639648 + ], + [ + "▁Förder", + -12.542435646057129 + ], + [ + "▁Gottes", + -12.542572021484375 + ], + [ + "▁Coordinator", + -12.542648315429688 + ], + [ + "LOG", + -12.54265022277832 + ], + [ + "EAN", + -12.542677879333496 + ], + [ + "▁préparation", + -12.54273509979248 + ], + [ + "▁Brass", + -12.542799949645996 + ], + [ + "Așa", + -12.542853355407715 + ], + [ + "▁Utiliz", + -12.54294490814209 + ], + [ + "framed", + -12.542973518371582 + ], + [ + "▁asphalt", + -12.543050765991211 + ], + [ + "116", + -12.543061256408691 + ], + [ + "▁historically", + -12.54310417175293 + ], + [ + "▁doamn", + -12.543176651000977 + ], + [ + "Air", + -12.543293952941895 + ], + [ + "▁economist", + -12.543838500976562 + ], + [ + "fresh", + -12.54384994506836 + ], + [ + "engine", + -12.543906211853027 + ], + [ + "▁Rücken", + -12.543919563293457 + ], + [ + "▁worthwhile", + -12.544124603271484 + ], + [ + "▁Therapie", + -12.544140815734863 + ], + [ + "▁Joshua", + -12.544151306152344 + ], + [ + "sicherheit", + -12.544175148010254 + ], + [ + "▁scena", + -12.544254302978516 + ], + [ + "ifiant", + -12.54433822631836 + ], + [ + "/20", + -12.54442024230957 + ], + [ + "fehl", + -12.544469833374023 + ], + [ + "karten", + -12.544515609741211 + ], + [ + "501", + -12.544656753540039 + ], + [ + "▁vide", + -12.544673919677734 + ], + [ + "▁miliarde", + -12.544699668884277 + ], + [ + "▁trillion", + -12.54470157623291 + ], + [ + "oudre", + -12.544761657714844 + ], + [ + "nderung", + -12.544803619384766 + ], + [ + "▁inquiries", + -12.544992446899414 + ], + [ + "▁echipe", + -12.545034408569336 + ], + [ + "▁investiga", + -12.545040130615234 + ], + [ + "▁detailing", + -12.545042991638184 + ], + [ + "VIS", + -12.545086860656738 + ], + [ + "▁geographical", + -12.545157432556152 + ], + [ + "▁authentication", + -12.54519271850586 + ], + [ + "▁Schwa", + -12.545201301574707 + ], + [ + "▁Scri", + -12.545230865478516 + ], + [ + "▁discourage", + -12.54527473449707 + ], + [ + "Pass", + -12.54529094696045 + ], + [ + "▁scattered", + -12.54529857635498 + ], + [ + "▁langsam", + -12.545300483703613 + ], + [ + "telles", + -12.545380592346191 + ], + [ + "▁ramane", + -12.5454740524292 + ], + [ + "▁inhibitor", + -12.545486450195312 + ], + [ + "▁Habit", + -12.54556941986084 + ], + [ + "▁10:00", + -12.545577049255371 + ], + [ + "▁rezultat", + -12.545595169067383 + ], + [ + "äck", + -12.545943260192871 + ], + [ + ",000.", + -12.545979499816895 + ], + [ + "▁remedies", + -12.546103477478027 + ], + [ + "▁comportament", + -12.546195983886719 + ], + [ + "namen", + -12.546229362487793 + ], + [ + "▁#3", + -12.546327590942383 + ], + [ + "enstein", + -12.546493530273438 + ], + [ + "▁relevance", + -12.546516418457031 + ], + [ + "▁présentation", + -12.54655933380127 + ], + [ + "MHz", + -12.546648979187012 + ], + [ + "EMA", + -12.546661376953125 + ], + [ + "▁palace", + -12.546709060668945 + ], + [ + "▁vizibil", + -12.546723365783691 + ], + [ + "▁griev", + -12.546820640563965 + ], + [ + "▁severely", + -12.54688549041748 + ], + [ + "expert", + -12.546942710876465 + ], + [ + "▁ravi", + -12.54696273803711 + ], + [ + "▁feasible", + -12.547002792358398 + ], + [ + "▁Wholesale", + -12.547009468078613 + ], + [ + "▁graduat", + -12.547077178955078 + ], + [ + "Kü", + -12.547094345092773 + ], + [ + "▁quotation", + -12.547157287597656 + ], + [ + "/11", + -12.54716968536377 + ], + [ + "lutter", + -12.547415733337402 + ], + [ + "▁dice", + -12.547467231750488 + ], + [ + "modal", + -12.547749519348145 + ], + [ + "ggling", + -12.547819137573242 + ], + [ + "▁considér", + -12.547986030578613 + ], + [ + "▁Insel", + -12.548097610473633 + ], + [ + "▁Database", + -12.5483980178833 + ], + [ + "icism", + -12.548508644104004 + ], + [ + "▁quarterly", + -12.54851245880127 + ], + [ + "▁formule", + -12.548558235168457 + ], + [ + "▁renouvel", + -12.54873275756836 + ], + [ + "▁Treasure", + -12.548737525939941 + ], + [ + "▁1962", + -12.548844337463379 + ], + [ + "▁republic", + -12.549111366271973 + ], + [ + "▁États", + -12.549254417419434 + ], + [ + "▁salut", + -12.549356460571289 + ], + [ + "HK", + -12.54941463470459 + ], + [ + "▁Bali", + -12.549427032470703 + ], + [ + "▁Rechnung", + -12.549447059631348 + ], + [ + "fruit", + -12.54945182800293 + ], + [ + "lays", + -12.549467086791992 + ], + [ + "LAS", + -12.54951000213623 + ], + [ + "inclin", + -12.549708366394043 + ], + [ + "▁Cré", + -12.549813270568848 + ], + [ + "▁compt", + -12.54985237121582 + ], + [ + "țiilor", + -12.550056457519531 + ], + [ + "heft", + -12.550111770629883 + ], + [ + "▁Comisi", + -12.55024242401123 + ], + [ + "▁Nurse", + -12.550516128540039 + ], + [ + "loid", + -12.550540924072266 + ], + [ + "grove", + -12.550761222839355 + ], + [ + "▁Copy", + -12.550867080688477 + ], + [ + "▁Kampf", + -12.550873756408691 + ], + [ + "izată", + -12.550945281982422 + ], + [ + "würdig", + -12.551244735717773 + ], + [ + "-2018", + -12.551305770874023 + ], + [ + "ozo", + -12.551350593566895 + ], + [ + "▁integriert", + -12.551397323608398 + ], + [ + "▁réunion", + -12.551448822021484 + ], + [ + "▁mică", + -12.551520347595215 + ], + [ + "▁Chau", + -12.551595687866211 + ], + [ + "▁allegations", + -12.551626205444336 + ], + [ + "▁shaping", + -12.551640510559082 + ], + [ + "▁transcription", + -12.551671981811523 + ], + [ + "▁Monica", + -12.551711082458496 + ], + [ + "▁torture", + -12.551795959472656 + ], + [ + "▁cooperative", + -12.551962852478027 + ], + [ + "▁invité", + -12.551987648010254 + ], + [ + "▁bamboo", + -12.552204132080078 + ], + [ + "▁Thinking", + -12.55232048034668 + ], + [ + "▁gratis", + -12.552392959594727 + ], + [ + "117", + -12.55267333984375 + ], + [ + "renz", + -12.55279541015625 + ], + [ + "▁Fußball", + -12.552823066711426 + ], + [ + "▁Gram", + -12.552873611450195 + ], + [ + "sprung", + -12.55290412902832 + ], + [ + "▁Schluss", + -12.55308723449707 + ], + [ + "▁Diploma", + -12.553345680236816 + ], + [ + "▁apparatus", + -12.553363800048828 + ], + [ + "notably", + -12.553483963012695 + ], + [ + "▁exercit", + -12.553532600402832 + ], + [ + "ământ", + -12.553536415100098 + ], + [ + "▁masses", + -12.553610801696777 + ], + [ + "▁preuve", + -12.553642272949219 + ], + [ + "great", + -12.553754806518555 + ], + [ + "▁Drink", + -12.553792953491211 + ], + [ + "islam", + -12.553828239440918 + ], + [ + "ARM", + -12.553914070129395 + ], + [ + "indre", + -12.554404258728027 + ], + [ + "DW", + -12.554410934448242 + ], + [ + "▁Flowers", + -12.554500579833984 + ], + [ + "▁pill", + -12.554574966430664 + ], + [ + "▁objectifs", + -12.554594039916992 + ], + [ + "▁Bezug", + -12.554659843444824 + ], + [ + "▁assumptions", + -12.55466365814209 + ], + [ + "▁vesti", + -12.554742813110352 + ], + [ + "route", + -12.554783821105957 + ], + [ + "▁Bangkok", + -12.554815292358398 + ], + [ + "▁seamlessly", + -12.55482006072998 + ], + [ + "config", + -12.554882049560547 + ], + [ + "▁username", + -12.554890632629395 + ], + [ + "unsure", + -12.555024147033691 + ], + [ + "▁poser", + -12.555129051208496 + ], + [ + "▁impozit", + -12.555246353149414 + ], + [ + "▁metode", + -12.555333137512207 + ], + [ + "defending", + -12.555347442626953 + ], + [ + "▁Nic", + -12.555431365966797 + ], + [ + "▁Vertrag", + -12.555508613586426 + ], + [ + "▁plăcut", + -12.55552864074707 + ], + [ + "▁Pou", + -12.555675506591797 + ], + [ + "UCH", + -12.555785179138184 + ], + [ + "▁Fein", + -12.555903434753418 + ], + [ + "reading", + -12.555994987487793 + ], + [ + "snip", + -12.55604076385498 + ], + [ + "▁Livre", + -12.556401252746582 + ], + [ + "lander", + -12.556509971618652 + ], + [ + "▁hydraulic", + -12.556559562683105 + ], + [ + "veiled", + -12.556563377380371 + ], + [ + "intr", + -12.556609153747559 + ], + [ + "▁Domnului", + -12.556641578674316 + ], + [ + "▁$0.", + -12.556713104248047 + ], + [ + "▁kilometers", + -12.556753158569336 + ], + [ + "spann", + -12.556870460510254 + ], + [ + "▁credibility", + -12.556892395019531 + ], + [ + "▁eBook", + -12.556953430175781 + ], + [ + "VERY", + -12.556994438171387 + ], + [ + "▁Charm", + -12.557122230529785 + ], + [ + "Evangeli", + -12.557193756103516 + ], + [ + "▁anderer", + -12.557193756103516 + ], + [ + "▁Entry", + -12.557195663452148 + ], + [ + "ffy", + -12.5573148727417 + ], + [ + "▁Exc", + -12.55737018585205 + ], + [ + "▁Omega", + -12.557446479797363 + ], + [ + "▁Funktionen", + -12.557455062866211 + ], + [ + "▁Gay", + -12.55752182006836 + ], + [ + "▁acht", + -12.557608604431152 + ], + [ + "colored", + -12.557615280151367 + ], + [ + "itude", + -12.557634353637695 + ], + [ + "▁accompagné", + -12.557645797729492 + ], + [ + "▁unfortunate", + -12.557981491088867 + ], + [ + "▁DIN", + -12.558091163635254 + ], + [ + "▁installment", + -12.558252334594727 + ], + [ + "▁indépendant", + -12.558307647705078 + ], + [ + "These", + -12.558364868164062 + ], + [ + "mitten", + -12.558394432067871 + ], + [ + "thank", + -12.558470726013184 + ], + [ + "▁Trek", + -12.558721542358398 + ], + [ + "üchte", + -12.55874252319336 + ], + [ + "▁cuir", + -12.55875015258789 + ], + [ + "▁turbo", + -12.558802604675293 + ], + [ + "Table", + -12.558847427368164 + ], + [ + "▁Extrem", + -12.558866500854492 + ], + [ + "▁advertisements", + -12.55915355682373 + ], + [ + "▁chaîne", + -12.559206008911133 + ], + [ + "▁corridor", + -12.559473991394043 + ], + [ + "▁râ", + -12.559651374816895 + ], + [ + "▁Opening", + -12.559718132019043 + ], + [ + "Get", + -12.559747695922852 + ], + [ + "▁storytelling", + -12.55976676940918 + ], + [ + "▁severity", + -12.559771537780762 + ], + [ + "4\"", + -12.559956550598145 + ], + [ + "▁parasit", + -12.559967994689941 + ], + [ + "angebot", + -12.56002426147461 + ], + [ + "Data", + -12.56005573272705 + ], + [ + "listen", + -12.560086250305176 + ], + [ + "▁vârstă", + -12.560094833374023 + ], + [ + "▁swallow", + -12.56025505065918 + ], + [ + "TRE", + -12.560321807861328 + ], + [ + "▁daunting", + -12.56035041809082 + ], + [ + "▁Oli", + -12.560481071472168 + ], + [ + "▁definitive", + -12.56066608428955 + ], + [ + "▁rezerva", + -12.560667037963867 + ], + [ + "/15", + -12.560807228088379 + ], + [ + "▁Landschaft", + -12.560887336730957 + ], + [ + "▁Automotive", + -12.560934066772461 + ], + [ + "▁convers", + -12.56113052368164 + ], + [ + "▁thru", + -12.561139106750488 + ], + [ + "▁Township", + -12.561140060424805 + ], + [ + "▁tilt", + -12.56119441986084 + ], + [ + "▁Criminal", + -12.561227798461914 + ], + [ + "riez", + -12.561407089233398 + ], + [ + "▁Parking", + -12.561440467834473 + ], + [ + "▁humanitarian", + -12.561518669128418 + ], + [ + "▁Kilometer", + -12.561529159545898 + ], + [ + "controlled", + -12.56189250946045 + ], + [ + "▁Klick", + -12.561910629272461 + ], + [ + "support", + -12.56199836730957 + ], + [ + "handed", + -12.562005996704102 + ], + [ + "ämtliche", + -12.562104225158691 + ], + [ + "access", + -12.562232971191406 + ], + [ + "▁eleven", + -12.562232971191406 + ], + [ + "▁ferry", + -12.56229305267334 + ], + [ + "zieren", + -12.562620162963867 + ], + [ + "▁Gebrauch", + -12.562688827514648 + ], + [ + "▁vigoare", + -12.562689781188965 + ], + [ + "MON", + -12.562756538391113 + ], + [ + "fox", + -12.562886238098145 + ], + [ + "bestimmten", + -12.562894821166992 + ], + [ + "▁Gur", + -12.563069343566895 + ], + [ + "▁Mannschaft", + -12.563146591186523 + ], + [ + "▁patrol", + -12.563173294067383 + ], + [ + "▁casă", + -12.563376426696777 + ], + [ + "▁Stories", + -12.563380241394043 + ], + [ + "▁robotic", + -12.563425064086914 + ], + [ + "tiri", + -12.563576698303223 + ], + [ + "gewiesen", + -12.5636568069458 + ], + [ + "CV", + -12.563722610473633 + ], + [ + "▁parinti", + -12.563899040222168 + ], + [ + "▁Owen", + -12.563931465148926 + ], + [ + "▁Katie", + -12.564116477966309 + ], + [ + "▁Combine", + -12.56422233581543 + ], + [ + "enfalls", + -12.56442928314209 + ], + [ + "▁financière", + -12.564447402954102 + ], + [ + "▁parliament", + -12.564549446105957 + ], + [ + "▁Weekend", + -12.564616203308105 + ], + [ + "▁Sonic", + -12.564757347106934 + ], + [ + "▁fixture", + -12.56479263305664 + ], + [ + "majorité", + -12.56497573852539 + ], + [ + "▁gravel", + -12.565028190612793 + ], + [ + "realizate", + -12.565109252929688 + ], + [ + "examining", + -12.565113067626953 + ], + [ + "▁grim", + -12.5653657913208 + ], + [ + "▁stabili", + -12.565458297729492 + ], + [ + "▁Wochenende", + -12.56551456451416 + ], + [ + "▁Hebrew", + -12.565597534179688 + ], + [ + "▁Harrison", + -12.565799713134766 + ], + [ + "▁boundary", + -12.565858840942383 + ], + [ + "40,000", + -12.565902709960938 + ], + [ + "▁Ambassador", + -12.566208839416504 + ], + [ + "▁scoate", + -12.566229820251465 + ], + [ + "ffin", + -12.56623363494873 + ], + [ + "▁crème", + -12.566269874572754 + ], + [ + "▁obiecte", + -12.566378593444824 + ], + [ + "enţa", + -12.566763877868652 + ], + [ + "▁subsidiary", + -12.566797256469727 + ], + [ + "▁Franco", + -12.56688404083252 + ], + [ + "▁visuel", + -12.567042350769043 + ], + [ + "▁uitat", + -12.56708812713623 + ], + [ + "▁revisit", + -12.567122459411621 + ], + [ + "▁Camping", + -12.567150115966797 + ], + [ + "▁Divine", + -12.567304611206055 + ], + [ + "4-6", + -12.567323684692383 + ], + [ + "▁Brandon", + -12.567378997802734 + ], + [ + "ма", + -12.567450523376465 + ], + [ + "sofern", + -12.56745433807373 + ], + [ + "ntweder", + -12.56748104095459 + ], + [ + "▁Shoot", + -12.567618370056152 + ], + [ + "étais", + -12.56771183013916 + ], + [ + "SPEC", + -12.567930221557617 + ], + [ + "▁dreapta", + -12.567973136901855 + ], + [ + "▁repaired", + -12.568055152893066 + ], + [ + "pyr", + -12.568136215209961 + ], + [ + "▁warranties", + -12.568175315856934 + ], + [ + "▁représent", + -12.568263053894043 + ], + [ + "ADE", + -12.568293571472168 + ], + [ + "▁selective", + -12.56836223602295 + ], + [ + "▁Banking", + -12.568441390991211 + ], + [ + "▁ergonomic", + -12.568562507629395 + ], + [ + "...”", + -12.568602561950684 + ], + [ + "▁willingness", + -12.56867790222168 + ], + [ + "isser", + -12.568784713745117 + ], + [ + "▁confection", + -12.568961143493652 + ], + [ + "admi", + -12.569009780883789 + ], + [ + "▁Freizeit", + -12.569023132324219 + ], + [ + "▁illuminate", + -12.569151878356934 + ], + [ + "▁Repeat", + -12.569170951843262 + ], + [ + "▁Zeitpunkt", + -12.56933879852295 + ], + [ + "claimed", + -12.569439888000488 + ], + [ + "▁erhältlich", + -12.569480895996094 + ], + [ + "▁paysage", + -12.569537162780762 + ], + [ + "▁Atom", + -12.569890022277832 + ], + [ + "▁Graf", + -12.570086479187012 + ], + [ + "▁firmware", + -12.570093154907227 + ], + [ + "▁Swift", + -12.570180892944336 + ], + [ + "▁cercetare", + -12.57018756866455 + ], + [ + "▁internațional", + -12.570330619812012 + ], + [ + "▁zombie", + -12.570330619812012 + ], + [ + "▁Spread", + -12.57050609588623 + ], + [ + "ECO", + -12.57056999206543 + ], + [ + "▁Gestaltung", + -12.570758819580078 + ], + [ + "rast", + -12.570858001708984 + ], + [ + "▁perfume", + -12.5709228515625 + ], + [ + "▁roulette", + -12.570924758911133 + ], + [ + "▁distill", + -12.57096004486084 + ], + [ + "▁Produkten", + -12.570992469787598 + ], + [ + "225", + -12.571310043334961 + ], + [ + "facing", + -12.571371078491211 + ], + [ + "▁paradigm", + -12.571514129638672 + ], + [ + "▁Rah", + -12.571532249450684 + ], + [ + "▁Renault", + -12.571846961975098 + ], + [ + "willig", + -12.571864128112793 + ], + [ + "▁Vet", + -12.571890830993652 + ], + [ + "▁reprezenta", + -12.572126388549805 + ], + [ + "stoß", + -12.572185516357422 + ], + [ + "▁Weiß", + -12.5722074508667 + ], + [ + "▁Solo", + -12.572210311889648 + ], + [ + "▁Jin", + -12.572646141052246 + ], + [ + "▁Brussels", + -12.572693824768066 + ], + [ + "▁Tournament", + -12.572693824768066 + ], + [ + "▁proced", + -12.572710037231445 + ], + [ + "▁Rabbi", + -12.572835922241211 + ], + [ + "▁gameplay", + -12.572851181030273 + ], + [ + "▁ATM", + -12.572901725769043 + ], + [ + "▁firearm", + -12.572906494140625 + ], + [ + "revealing", + -12.573003768920898 + ], + [ + "schütz", + -12.57310676574707 + ], + [ + "▁Absolutely", + -12.573288917541504 + ], + [ + "▁interference", + -12.573433876037598 + ], + [ + "▁Employment", + -12.573558807373047 + ], + [ + "▁chord", + -12.57356071472168 + ], + [ + "▁oportun", + -12.573585510253906 + ], + [ + "▁frontier", + -12.573770523071289 + ], + [ + "▁Lunch", + -12.573891639709473 + ], + [ + "bread", + -12.57397174835205 + ], + [ + "▁rendered", + -12.573976516723633 + ], + [ + "5.1", + -12.573984146118164 + ], + [ + "▁motif", + -12.574066162109375 + ], + [ + "▁Schlag", + -12.574227333068848 + ], + [ + "113", + -12.574264526367188 + ], + [ + "▁Deux", + -12.574288368225098 + ], + [ + "▁surplus", + -12.574309349060059 + ], + [ + "ALS", + -12.574417114257812 + ], + [ + "▁abortion", + -12.574472427368164 + ], + [ + "▁airplane", + -12.574475288391113 + ], + [ + "▁migrants", + -12.574501991271973 + ], + [ + "kli", + -12.574539184570312 + ], + [ + "▁crochet", + -12.57454776763916 + ], + [ + "fahrer", + -12.574671745300293 + ], + [ + "▁reconstruction", + -12.57471752166748 + ], + [ + "▁difer", + -12.574752807617188 + ], + [ + "▁Conserv", + -12.57478141784668 + ], + [ + "▁NSW", + -12.57479476928711 + ], + [ + "▁regim", + -12.574844360351562 + ], + [ + "▁Except", + -12.574904441833496 + ], + [ + "▁trage", + -12.574978828430176 + ], + [ + "▁Consiliul", + -12.575058937072754 + ], + [ + "▁Bedarf", + -12.575064659118652 + ], + [ + "▁additive", + -12.5750732421875 + ], + [ + "know", + -12.5751371383667 + ], + [ + "▁sauna", + -12.57517147064209 + ], + [ + "▁mortality", + -12.575201034545898 + ], + [ + "kräftig", + -12.575358390808105 + ], + [ + "▁Own", + -12.575445175170898 + ], + [ + "nzo", + -12.575519561767578 + ], + [ + "▁villes", + -12.575543403625488 + ], + [ + "▁recette", + -12.575749397277832 + ], + [ + "▁attacking", + -12.575799942016602 + ], + [ + "beruf", + -12.57608699798584 + ], + [ + "▁integrat", + -12.57612419128418 + ], + [ + "realizarea", + -12.576201438903809 + ], + [ + "▁exemption", + -12.57628345489502 + ], + [ + "GW", + -12.576285362243652 + ], + [ + "▁Nano", + -12.576395034790039 + ], + [ + "SCH", + -12.576440811157227 + ], + [ + "▁honesty", + -12.576457023620605 + ], + [ + "▁Arriv", + -12.576515197753906 + ], + [ + "▁gland", + -12.576542854309082 + ], + [ + "▁proactive", + -12.576746940612793 + ], + [ + "▁agile", + -12.576837539672852 + ], + [ + "▁kernel", + -12.576844215393066 + ], + [ + "▁nurture", + -12.576860427856445 + ], + [ + "▁Patent", + -12.576963424682617 + ], + [ + "▁excursi", + -12.577189445495605 + ], + [ + "pulsion", + -12.577326774597168 + ], + [ + "stellte", + -12.577351570129395 + ], + [ + "ständige", + -12.577421188354492 + ], + [ + "▁Rebecca", + -12.577436447143555 + ], + [ + "▁Securities", + -12.577436447143555 + ], + [ + "mètre", + -12.577446937561035 + ], + [ + "LOW", + -12.577469825744629 + ], + [ + "▁consilier", + -12.577537536621094 + ], + [ + "▁Architekt", + -12.577733993530273 + ], + [ + "▁china", + -12.57777214050293 + ], + [ + "älfte", + -12.577778816223145 + ], + [ + "▁Combin", + -12.577795028686523 + ], + [ + "480", + -12.577999114990234 + ], + [ + "liv", + -12.578021049499512 + ], + [ + "▁peur", + -12.578067779541016 + ], + [ + "keep", + -12.57822322845459 + ], + [ + "▁Verhalten", + -12.578324317932129 + ], + [ + "▁peek", + -12.578446388244629 + ], + [ + "▁dient", + -12.578550338745117 + ], + [ + "▁prevazut", + -12.578625679016113 + ], + [ + "Emmanuel", + -12.57862663269043 + ], + [ + "▁incidence", + -12.57862663269043 + ], + [ + "▁Framework", + -12.578715324401855 + ], + [ + "dass", + -12.578816413879395 + ], + [ + "artiste", + -12.578874588012695 + ], + [ + "▁Accept", + -12.578971862792969 + ], + [ + "▁plunge", + -12.579073905944824 + ], + [ + "chauff", + -12.579118728637695 + ], + [ + "▁guilt", + -12.579156875610352 + ], + [ + "▁senator", + -12.57945442199707 + ], + [ + "▁disable", + -12.579776763916016 + ], + [ + "▁partout", + -12.579901695251465 + ], + [ + "JC", + -12.580045700073242 + ], + [ + "▁Highly", + -12.580150604248047 + ], + [ + "▁beneficii", + -12.58021068572998 + ], + [ + "fibro", + -12.580347061157227 + ], + [ + "interpreted", + -12.580550193786621 + ], + [ + "▁genauso", + -12.58056354522705 + ], + [ + "▁basil", + -12.580601692199707 + ], + [ + "▁Angst", + -12.580697059631348 + ], + [ + "rzte", + -12.580933570861816 + ], + [ + "Master", + -12.58112907409668 + ], + [ + "▁french", + -12.581324577331543 + ], + [ + "▁Duration", + -12.581343650817871 + ], + [ + "HM", + -12.581402778625488 + ], + [ + "▁Bert", + -12.581518173217773 + ], + [ + "▁1963", + -12.581534385681152 + ], + [ + "▁warrior", + -12.581604957580566 + ], + [ + "2007", + -12.581696510314941 + ], + [ + "▁recycle", + -12.581722259521484 + ], + [ + "▁fertiliz", + -12.581808090209961 + ], + [ + "▁hatch", + -12.581809997558594 + ], + [ + "ISH", + -12.581811904907227 + ], + [ + "luft", + -12.582321166992188 + ], + [ + "▁crying", + -12.582452774047852 + ], + [ + "▁activist", + -12.5824613571167 + ], + [ + "schränkt", + -12.582500457763672 + ], + [ + "▁diff", + -12.582500457763672 + ], + [ + "▁Demand", + -12.58262825012207 + ], + [ + "▁transported", + -12.582669258117676 + ], + [ + "▁Remodel", + -12.582686424255371 + ], + [ + "▁Etats", + -12.582704544067383 + ], + [ + "ANI", + -12.582777976989746 + ], + [ + "▁spéciale", + -12.582804679870605 + ], + [ + "▁Konzert", + -12.582805633544922 + ], + [ + "▁Bedürfnisse", + -12.58281135559082 + ], + [ + "▁overlooked", + -12.582864761352539 + ], + [ + "▁cutter", + -12.582974433898926 + ], + [ + "klär", + -12.58311939239502 + ], + [ + "▁Materialien", + -12.583135604858398 + ], + [ + "▁gewisse", + -12.583388328552246 + ], + [ + "bull", + -12.583499908447266 + ], + [ + "Good", + -12.583513259887695 + ], + [ + "Gig", + -12.583616256713867 + ], + [ + "Logic", + -12.583736419677734 + ], + [ + "▁Schlaf", + -12.583970069885254 + ], + [ + "▁Yankee", + -12.583996772766113 + ], + [ + "▁Batman", + -12.584020614624023 + ], + [ + "▁funcție", + -12.584166526794434 + ], + [ + "▁partenariat", + -12.584294319152832 + ], + [ + "▁Antrag", + -12.584348678588867 + ], + [ + "▁Pill", + -12.584519386291504 + ], + [ + "▁tram", + -12.584637641906738 + ], + [ + "▁Minor", + -12.58465576171875 + ], + [ + "pertaining", + -12.584678649902344 + ], + [ + "▁apropiere", + -12.584843635559082 + ], + [ + "▁Barack", + -12.584965705871582 + ], + [ + "schön", + -12.585174560546875 + ], + [ + "▁Sandy", + -12.585182189941406 + ], + [ + "kilometre", + -12.585192680358887 + ], + [ + "▁diy", + -12.585234642028809 + ], + [ + "▁1966", + -12.585453987121582 + ], + [ + "gelassen", + -12.585485458374023 + ], + [ + "▁Trial", + -12.585592269897461 + ], + [ + "▁Bauer", + -12.585603713989258 + ], + [ + "▁assumption", + -12.585648536682129 + ], + [ + "birth", + -12.585668563842773 + ], + [ + "rechnen", + -12.585861206054688 + ], + [ + "▁meci", + -12.585867881774902 + ], + [ + "▁gloss", + -12.585906982421875 + ], + [ + "▁sewer", + -12.58593463897705 + ], + [ + "▁Stimme", + -12.585955619812012 + ], + [ + "▁Fortune", + -12.585967063903809 + ], + [ + "▁Lösungen", + -12.586007118225098 + ], + [ + "▁impresi", + -12.586074829101562 + ], + [ + "schlaf", + -12.586089134216309 + ], + [ + "prüfung", + -12.586097717285156 + ], + [ + "▁instalat", + -12.586198806762695 + ], + [ + "▁picturesque", + -12.586233139038086 + ], + [ + "vait", + -12.586240768432617 + ], + [ + "8.1", + -12.58629035949707 + ], + [ + "▁călători", + -12.586392402648926 + ], + [ + "▁dix", + -12.586400032043457 + ], + [ + "▁furnished", + -12.586411476135254 + ], + [ + "▁dolari", + -12.586445808410645 + ], + [ + "▁regener", + -12.586562156677246 + ], + [ + "▁astazi", + -12.586621284484863 + ], + [ + "▁Sprach", + -12.586750030517578 + ], + [ + "delà", + -12.586846351623535 + ], + [ + "avec", + -12.58694076538086 + ], + [ + "▁Buddhist", + -12.586990356445312 + ], + [ + "▁alphabet", + -12.586990356445312 + ], + [ + "▁berichtet", + -12.587201118469238 + ], + [ + "ideally", + -12.587209701538086 + ], + [ + "▁annuel", + -12.587421417236328 + ], + [ + "▁laughing", + -12.587532997131348 + ], + [ + "▁Zustand", + -12.587639808654785 + ], + [ + "cini", + -12.587692260742188 + ], + [ + "solid", + -12.587724685668945 + ], + [ + "▁Broker", + -12.587868690490723 + ], + [ + "▁developmental", + -12.5879545211792 + ], + [ + "▁Summary", + -12.588191032409668 + ], + [ + "▁Trinity", + -12.58819580078125 + ], + [ + "▁sucre", + -12.58821964263916 + ], + [ + "▁sandal", + -12.588231086730957 + ], + [ + "PEN", + -12.588274955749512 + ], + [ + "gewinn", + -12.588486671447754 + ], + [ + "olé", + -12.588555335998535 + ], + [ + "matric", + -12.58865737915039 + ], + [ + "xton", + -12.588695526123047 + ], + [ + "werten", + -12.588740348815918 + ], + [ + "▁Dust", + -12.588765144348145 + ], + [ + "▁Journey", + -12.588791847229004 + ], + [ + "▁Rush", + -12.588793754577637 + ], + [ + "▁NCAA", + -12.588839530944824 + ], + [ + "▁allgemeine", + -12.588926315307617 + ], + [ + "▁Universe", + -12.589007377624512 + ], + [ + "▁connais", + -12.589099884033203 + ], + [ + "▁quantité", + -12.58912467956543 + ], + [ + "▁Kab", + -12.589150428771973 + ], + [ + "▁purse", + -12.589150428771973 + ], + [ + "Health", + -12.589210510253906 + ], + [ + "▁apărut", + -12.589288711547852 + ], + [ + "▁bypass", + -12.589313507080078 + ], + [ + "pronounced", + -12.58936595916748 + ], + [ + "▁magnitude", + -12.589393615722656 + ], + [ + "▁Walmart", + -12.589394569396973 + ], + [ + "ède", + -12.589409828186035 + ], + [ + "▁serum", + -12.589590072631836 + ], + [ + "▁baseline", + -12.589765548706055 + ], + [ + "STER", + -12.589932441711426 + ], + [ + "▁ONLY", + -12.590052604675293 + ], + [ + "▁individuell", + -12.590086936950684 + ], + [ + "▁Ghi", + -12.590139389038086 + ], + [ + "▁Ruby", + -12.59020709991455 + ], + [ + "▁Chal", + -12.590241432189941 + ], + [ + "▁Vier", + -12.590261459350586 + ], + [ + "5.0", + -12.5903902053833 + ], + [ + "▁fog", + -12.590519905090332 + ], + [ + "esel", + -12.590557098388672 + ], + [ + "▁Python", + -12.590598106384277 + ], + [ + "▁urmează", + -12.590608596801758 + ], + [ + "▁trustworthy", + -12.590639114379883 + ], + [ + "hört", + -12.590729713439941 + ], + [ + "▁tâche", + -12.59078311920166 + ], + [ + "Patri", + -12.590799331665039 + ], + [ + "▁grind", + -12.590928077697754 + ], + [ + "▁Raven", + -12.590934753417969 + ], + [ + "▁poursuiv", + -12.590951919555664 + ], + [ + "▁simpli", + -12.591140747070312 + ], + [ + "▁echo", + -12.591165542602539 + ], + [ + "▁Attention", + -12.591313362121582 + ], + [ + "Against", + -12.591402053833008 + ], + [ + "GET", + -12.59148120880127 + ], + [ + "▁turistic", + -12.591535568237305 + ], + [ + "▁tenure", + -12.59158992767334 + ], + [ + "▁alimentaire", + -12.591651916503906 + ], + [ + "Who", + -12.59172248840332 + ], + [ + "▁ändern", + -12.591729164123535 + ], + [ + "▁rebound", + -12.591778755187988 + ], + [ + "grenze", + -12.591849327087402 + ], + [ + "▁Fame", + -12.592093467712402 + ], + [ + "▁Kick", + -12.592215538024902 + ], + [ + "▁Detail", + -12.59228801727295 + ], + [ + "▁Push", + -12.592308044433594 + ], + [ + "production", + -12.592430114746094 + ], + [ + "▁Candidates", + -12.59244441986084 + ], + [ + "▁reușit", + -12.592484474182129 + ], + [ + "istischen", + -12.592525482177734 + ], + [ + "lassung", + -12.592649459838867 + ], + [ + "▁Hann", + -12.592713356018066 + ], + [ + "espère", + -12.592965126037598 + ], + [ + "▁vergessen", + -12.593008041381836 + ], + [ + "▁smiling", + -12.593010902404785 + ], + [ + "▁devotion", + -12.593016624450684 + ], + [ + "▁pastry", + -12.593071937561035 + ], + [ + "Add", + -12.593390464782715 + ], + [ + "▁authorization", + -12.593494415283203 + ], + [ + "▁Suisse", + -12.593568801879883 + ], + [ + "▁Berkeley", + -12.593611717224121 + ], + [ + "▁Guild", + -12.593660354614258 + ], + [ + "▁choir", + -12.593748092651367 + ], + [ + "learning", + -12.593802452087402 + ], + [ + "▁Tanz", + -12.593894004821777 + ], + [ + "mardi", + -12.594076156616211 + ], + [ + "▁rezultatele", + -12.594191551208496 + ], + [ + "▁earrings", + -12.594218254089355 + ], + [ + "▁turbine", + -12.594223976135254 + ], + [ + "▁jeudi", + -12.594284057617188 + ], + [ + "terapie", + -12.594576835632324 + ], + [ + "regain", + -12.59461498260498 + ], + [ + "SET", + -12.594643592834473 + ], + [ + "▁Hände", + -12.594681739807129 + ], + [ + "▁Globe", + -12.594683647155762 + ], + [ + "frag", + -12.594775199890137 + ], + [ + "▁Treasury", + -12.594820976257324 + ], + [ + "▁hazardous", + -12.594820976257324 + ], + [ + "▁Fahrt", + -12.594928741455078 + ], + [ + "▁fulfilled", + -12.594966888427734 + ], + [ + "▁manga", + -12.594987869262695 + ], + [ + "▁composé", + -12.595067977905273 + ], + [ + "▁ABS", + -12.595132827758789 + ], + [ + "▁preced", + -12.595197677612305 + ], + [ + "▁beauté", + -12.595233917236328 + ], + [ + "▁interessant", + -12.59526252746582 + ], + [ + "▁lieber", + -12.595324516296387 + ], + [ + "▁Kö", + -12.595378875732422 + ], + [ + "EMS", + -12.595410346984863 + ], + [ + "FER", + -12.595413208007812 + ], + [ + "▁eure", + -12.595427513122559 + ], + [ + "▁plumber", + -12.595427513122559 + ], + [ + "Love", + -12.595463752746582 + ], + [ + "▁Marcus", + -12.595635414123535 + ], + [ + "▁registry", + -12.595637321472168 + ], + [ + "▁uncle", + -12.595696449279785 + ], + [ + "▁neuf", + -12.595728874206543 + ], + [ + "▁Fläche", + -12.59575080871582 + ], + [ + "▁restaur", + -12.595815658569336 + ], + [ + "▁noticeable", + -12.595833778381348 + ], + [ + "▁riches", + -12.595871925354004 + ], + [ + "occupy", + -12.596031188964844 + ], + [ + "▁hurricane", + -12.596031188964844 + ], + [ + "▁gespeichert", + -12.596033096313477 + ], + [ + "▁Bordeaux", + -12.596039772033691 + ], + [ + "▁Maj", + -12.59637451171875 + ], + [ + "Applied", + -12.596439361572266 + ], + [ + "▁compter", + -12.596575736999512 + ], + [ + "impact", + -12.59663200378418 + ], + [ + "▁Improve", + -12.596758842468262 + ], + [ + "▁Calif", + -12.596832275390625 + ], + [ + "▁desfășur", + -12.596939086914062 + ], + [ + "▁packaged", + -12.597001075744629 + ], + [ + "180", + -12.59703540802002 + ], + [ + "devenu", + -12.597042083740234 + ], + [ + "▁Battery", + -12.597243309020996 + ], + [ + "▁objection", + -12.597254753112793 + ], + [ + "▁anual", + -12.597305297851562 + ], + [ + "▁Landscape", + -12.59731674194336 + ], + [ + "IQ", + -12.597403526306152 + ], + [ + "grès", + -12.597586631774902 + ], + [ + "▁witnesses", + -12.597750663757324 + ], + [ + "enţial", + -12.597764015197754 + ], + [ + "▁plateau", + -12.597779273986816 + ], + [ + "▁bilete", + -12.59783935546875 + ], + [ + "▁Bronze", + -12.59786605834961 + ], + [ + "▁Kiss", + -12.597946166992188 + ], + [ + "▁Serge", + -12.598093032836914 + ], + [ + "atomic", + -12.598145484924316 + ], + [ + "▁renovated", + -12.59817886352539 + ], + [ + "player", + -12.598212242126465 + ], + [ + "▁dirig", + -12.598291397094727 + ], + [ + "▁Îm", + -12.598296165466309 + ], + [ + "▁plimb", + -12.59843635559082 + ], + [ + "▁ambassador", + -12.598455429077148 + ], + [ + "▁apropiat", + -12.598455429077148 + ], + [ + "▁adaug", + -12.598602294921875 + ], + [ + "ogenic", + -12.59872055053711 + ], + [ + "kämpfe", + -12.598779678344727 + ], + [ + "▁Hillary", + -12.598907470703125 + ], + [ + "yak", + -12.598942756652832 + ], + [ + "General", + -12.59925365447998 + ], + [ + "▁Zugang", + -12.599400520324707 + ], + [ + "▁fertil", + -12.599457740783691 + ], + [ + "incat", + -12.599536895751953 + ], + [ + "assessing", + -12.599587440490723 + ], + [ + "▁Cincinnati", + -12.59967041015625 + ], + [ + "▁convincing", + -12.599685668945312 + ], + [ + "sadly", + -12.59974479675293 + ], + [ + "kunde", + -12.599801063537598 + ], + [ + "ambul", + -12.599913597106934 + ], + [ + "▁familii", + -12.599974632263184 + ], + [ + "juri", + -12.60007095336914 + ], + [ + "ionen", + -12.600102424621582 + ], + [ + "▁Wirtschaft", + -12.600130081176758 + ], + [ + "contract", + -12.600135803222656 + ], + [ + "punem", + -12.600151062011719 + ], + [ + "handlung", + -12.600394248962402 + ], + [ + "▁fournir", + -12.600455284118652 + ], + [ + "▁Ambi", + -12.600663185119629 + ], + [ + "▁Isaac", + -12.600663185119629 + ], + [ + "▁praying", + -12.6007719039917 + ], + [ + "▁Italien", + -12.600848197937012 + ], + [ + "233", + -12.600850105285645 + ], + [ + "spawn", + -12.600913047790527 + ], + [ + "▁legii", + -12.60092544555664 + ], + [ + "▁zuvor", + -12.601018905639648 + ], + [ + "▁comune", + -12.601030349731445 + ], + [ + "official", + -12.601165771484375 + ], + [ + "144", + -12.601290702819824 + ], + [ + "izeaza", + -12.601329803466797 + ], + [ + "▁Keller", + -12.601372718811035 + ], + [ + "ORE", + -12.601378440856934 + ], + [ + "122", + -12.601485252380371 + ], + [ + "incurred", + -12.60150146484375 + ], + [ + "CHA", + -12.601579666137695 + ], + [ + "▁Herzen", + -12.601590156555176 + ], + [ + "▁reasoning", + -12.6016263961792 + ], + [ + "affaire", + -12.601849555969238 + ], + [ + "ooth", + -12.601890563964844 + ], + [ + "155", + -12.601998329162598 + ], + [ + "▁invented", + -12.602113723754883 + ], + [ + "▁Comun", + -12.602140426635742 + ], + [ + "zähl", + -12.602179527282715 + ], + [ + "geliefert", + -12.602212905883789 + ], + [ + "explorer", + -12.602213859558105 + ], + [ + "nect", + -12.602326393127441 + ], + [ + "▁mercredi", + -12.602408409118652 + ], + [ + "▁volonté", + -12.602408409118652 + ], + [ + "easy", + -12.602453231811523 + ], + [ + "▁feat", + -12.602490425109863 + ], + [ + "rented", + -12.602580070495605 + ], + [ + "▁converter", + -12.602592468261719 + ], + [ + "Verhältnis", + -12.602713584899902 + ], + [ + "▁Iceland", + -12.602792739868164 + ], + [ + "▁pretul", + -12.602933883666992 + ], + [ + "▁Vorstellung", + -12.602960586547852 + ], + [ + "▁hydrogen", + -12.603096008300781 + ], + [ + "▁pouvai", + -12.603097915649414 + ], + [ + "▁dawn", + -12.603153228759766 + ], + [ + "▁Georg", + -12.603269577026367 + ], + [ + "▁cautious", + -12.603367805480957 + ], + [ + "▁Pattern", + -12.603464126586914 + ], + [ + "▁Ox", + -12.603602409362793 + ], + [ + "▁decizie", + -12.603676795959473 + ], + [ + "REC", + -12.603889465332031 + ], + [ + "▁Mortgage", + -12.60393238067627 + ], + [ + "attributed", + -12.603973388671875 + ], + [ + "floor", + -12.603992462158203 + ], + [ + "▁Wichtig", + -12.604207992553711 + ], + [ + "enseignant", + -12.604265213012695 + ], + [ + "▁civilization", + -12.604302406311035 + ], + [ + "▁dispozitie", + -12.60450553894043 + ], + [ + "▁geographic", + -12.604543685913086 + ], + [ + "▁Kun", + -12.604607582092285 + ], + [ + "LIN", + -12.604679107666016 + ], + [ + "▁auzit", + -12.604707717895508 + ], + [ + "except", + -12.604761123657227 + ], + [ + "▁superbe", + -12.604904174804688 + ], + [ + "▁installé", + -12.605000495910645 + ], + [ + "▁Peninsula", + -12.605154037475586 + ], + [ + "▁norme", + -12.605164527893066 + ], + [ + "elul", + -12.60517406463623 + ], + [ + "▁Experten", + -12.605256080627441 + ], + [ + "expression", + -12.605295181274414 + ], + [ + "Christ", + -12.605320930480957 + ], + [ + "▁Fuel", + -12.605369567871094 + ], + [ + "▁muffin", + -12.605485916137695 + ], + [ + "▁lecteur", + -12.605521202087402 + ], + [ + "▁gifted", + -12.605589866638184 + ], + [ + "▁Japon", + -12.605602264404297 + ], + [ + "▁SSD", + -12.605644226074219 + ], + [ + "▁Calgary", + -12.605765342712402 + ], + [ + "▁hooked", + -12.605876922607422 + ], + [ + "▁Joan", + -12.605896949768066 + ], + [ + "▁tangible", + -12.606083869934082 + ], + [ + "FW", + -12.606225967407227 + ], + [ + "olli", + -12.6062593460083 + ], + [ + "▁Platinum", + -12.606376647949219 + ], + [ + "▁miniature", + -12.606392860412598 + ], + [ + "▁lump", + -12.606608390808105 + ], + [ + "ologische", + -12.60689926147461 + ], + [ + "▁Istanbul", + -12.606987953186035 + ], + [ + "▁Compar", + -12.607060432434082 + ], + [ + "tropic", + -12.607256889343262 + ], + [ + "KING", + -12.607279777526855 + ], + [ + "Präsident", + -12.607297897338867 + ], + [ + "▁fotografii", + -12.607303619384766 + ], + [ + "hoped", + -12.607451438903809 + ], + [ + "▁pâte", + -12.607601165771484 + ], + [ + "▁mercy", + -12.60760498046875 + ], + [ + "▁quiz", + -12.607619285583496 + ], + [ + "demonstrating", + -12.607678413391113 + ], + [ + "▁douce", + -12.607832908630371 + ], + [ + "▁Vest", + -12.607841491699219 + ], + [ + "▁Harvey", + -12.6082181930542 + ], + [ + "▁breit", + -12.608227729797363 + ], + [ + "▁Bereits", + -12.608291625976562 + ], + [ + "▁breakthrough", + -12.608316421508789 + ], + [ + "▁masterpiece", + -12.608320236206055 + ], + [ + "▁Chester", + -12.60838794708252 + ], + [ + "▁indiqué", + -12.608451843261719 + ], + [ + "hook", + -12.60857105255127 + ], + [ + "statutory", + -12.608596801757812 + ], + [ + "▁Direkt", + -12.608617782592773 + ], + [ + "▁specs", + -12.608708381652832 + ], + [ + "Drive", + -12.608725547790527 + ], + [ + "▁survivors", + -12.608826637268066 + ], + [ + "▁jackpot", + -12.608840942382812 + ], + [ + "▁garder", + -12.608872413635254 + ], + [ + "▁Geburtstag", + -12.60887336730957 + ], + [ + "145", + -12.608963966369629 + ], + [ + "▁Clay", + -12.609028816223145 + ], + [ + "▁WHO", + -12.60906982421875 + ], + [ + "▁Ellen", + -12.609393119812012 + ], + [ + "▁bonheur", + -12.609440803527832 + ], + [ + "▁hazards", + -12.609440803527832 + ], + [ + "▁Kaiser", + -12.609488487243652 + ], + [ + "▁tightly", + -12.609506607055664 + ], + [ + "Universitatea", + -12.609529495239258 + ], + [ + "▁rinse", + -12.609533309936523 + ], + [ + "▁passant", + -12.609640121459961 + ], + [ + "▁sânge", + -12.609832763671875 + ], + [ + "▁peuple", + -12.60983657836914 + ], + [ + "jungen", + -12.609975814819336 + ], + [ + "▁inappropriate", + -12.610054969787598 + ], + [ + "▁mitigate", + -12.610066413879395 + ], + [ + "MID", + -12.610221862792969 + ], + [ + "▁telecom", + -12.610297203063965 + ], + [ + "▁plaj", + -12.610316276550293 + ], + [ + "▁presupune", + -12.610361099243164 + ], + [ + "acco", + -12.61038875579834 + ], + [ + "expressing", + -12.610654830932617 + ], + [ + "▁Symphony", + -12.61066722869873 + ], + [ + "temperatur", + -12.610710144042969 + ], + [ + "▁activităţi", + -12.610800743103027 + ], + [ + "▁amended", + -12.610847473144531 + ], + [ + "▁rehab", + -12.610909461975098 + ], + [ + "▁sportiv", + -12.611004829406738 + ], + [ + "hotel", + -12.611031532287598 + ], + [ + "branche", + -12.61103630065918 + ], + [ + "▁Noch", + -12.611079216003418 + ], + [ + "▁1961", + -12.611238479614258 + ], + [ + "release", + -12.611359596252441 + ], + [ + "blaze", + -12.611381530761719 + ], + [ + "Adv", + -12.61139965057373 + ], + [ + "Line", + -12.611671447753906 + ], + [ + "▁financiare", + -12.61184310913086 + ], + [ + "▁chauffage", + -12.611919403076172 + ], + [ + "мо", + -12.61192512512207 + ], + [ + "schuhe", + -12.612035751342773 + ], + [ + "blé", + -12.612040519714355 + ], + [ + "▁Echo", + -12.612468719482422 + ], + [ + "▁remarks", + -12.61253547668457 + ], + [ + "scriu", + -12.612629890441895 + ], + [ + "Vir", + -12.612701416015625 + ], + [ + "War", + -12.61271858215332 + ], + [ + "atifs", + -12.613006591796875 + ], + [ + "RING", + -12.613082885742188 + ], + [ + "▁Instruction", + -12.613150596618652 + ], + [ + "▁verlassen", + -12.613155364990234 + ], + [ + "▁ergänz", + -12.613234519958496 + ], + [ + "▁Emil", + -12.613248825073242 + ], + [ + "▁empire", + -12.613263130187988 + ], + [ + "▁Einkauf", + -12.613306999206543 + ], + [ + "utigen", + -12.613329887390137 + ], + [ + "▁audition", + -12.613390922546387 + ], + [ + "travelled", + -12.61347484588623 + ], + [ + "ло", + -12.613579750061035 + ], + [ + "▁infinite", + -12.613720893859863 + ], + [ + "▁Lieblings", + -12.613749504089355 + ], + [ + "▁vân", + -12.613754272460938 + ], + [ + "▁spinning", + -12.613778114318848 + ], + [ + "converting", + -12.614031791687012 + ], + [ + "▁uncertain", + -12.61415958404541 + ], + [ + "restul", + -12.614168167114258 + ], + [ + "▁colourful", + -12.61420726776123 + ], + [ + "▁accountant", + -12.614338874816895 + ], + [ + "bourg", + -12.614532470703125 + ], + [ + "▁structuri", + -12.614538192749023 + ], + [ + "▁Booking", + -12.61465835571289 + ], + [ + "intéresse", + -12.614683151245117 + ], + [ + "▁coordinated", + -12.614753723144531 + ], + [ + "▁precaution", + -12.61497688293457 + ], + [ + "▁Cheese", + -12.615015983581543 + ], + [ + "▁surfing", + -12.615192413330078 + ], + [ + "▁souffr", + -12.61524486541748 + ], + [ + "▁Menu", + -12.615447998046875 + ], + [ + "▁arthritis", + -12.615593910217285 + ], + [ + "▁headphones", + -12.615601539611816 + ], + [ + "▁upgrading", + -12.615602493286133 + ], + [ + "▁apparel", + -12.615653038024902 + ], + [ + "▁Haushalt", + -12.61572551727295 + ], + [ + "▁Personally", + -12.615815162658691 + ], + [ + "▁insane", + -12.615950584411621 + ], + [ + "▁fonduri", + -12.616083145141602 + ], + [ + "▁entier", + -12.616239547729492 + ], + [ + "▁Herbst", + -12.616264343261719 + ], + [ + "▁cyclist", + -12.616331100463867 + ], + [ + "▁filmmaker", + -12.616741180419922 + ], + [ + "▁Portuguese", + -12.616829872131348 + ], + [ + "▁nominee", + -12.616851806640625 + ], + [ + "▁Yang", + -12.616857528686523 + ], + [ + "▁slate", + -12.616943359375 + ], + [ + "▁entièrement", + -12.616974830627441 + ], + [ + "▁Umgang", + -12.617049217224121 + ], + [ + "shifted", + -12.617135047912598 + ], + [ + "▁défaut", + -12.617138862609863 + ], + [ + "heiz", + -12.617246627807617 + ], + [ + "▁Seal", + -12.617379188537598 + ], + [ + "▁servicing", + -12.617451667785645 + ], + [ + "marketing", + -12.617562294006348 + ], + [ + "▁demandé", + -12.617755889892578 + ], + [ + "TING", + -12.617841720581055 + ], + [ + "▁modifier", + -12.617907524108887 + ], + [ + "lysis", + -12.617966651916504 + ], + [ + "▁suplimentare", + -12.618117332458496 + ], + [ + "OTHER", + -12.618359565734863 + ], + [ + "Graph", + -12.618379592895508 + ], + [ + "▁coincide", + -12.618448257446289 + ], + [ + "governed", + -12.618598937988281 + ], + [ + "▁locking", + -12.618638038635254 + ], + [ + "▁Properties", + -12.618685722351074 + ], + [ + "▁Panama", + -12.61876392364502 + ], + [ + "▁Coupe", + -12.618846893310547 + ], + [ + "songwriter", + -12.618978500366211 + ], + [ + "exhibited", + -12.618988990783691 + ], + [ + "▁semnificativ", + -12.618995666503906 + ], + [ + "▁purchaser", + -12.619004249572754 + ], + [ + "▁puff", + -12.619097709655762 + ], + [ + "Back", + -12.619105339050293 + ], + [ + "fragt", + -12.61919116973877 + ], + [ + "▁deputy", + -12.619362831115723 + ], + [ + "▁revien", + -12.619556427001953 + ], + [ + "▁Christine", + -12.619558334350586 + ], + [ + "▁Cities", + -12.619573593139648 + ], + [ + "▁Charakter", + -12.61961555480957 + ], + [ + "atteindre", + -12.619625091552734 + ], + [ + "▁fou", + -12.619635581970215 + ], + [ + "▁obligatoire", + -12.619643211364746 + ], + [ + "INA", + -12.619791030883789 + ], + [ + "etc", + -12.6198148727417 + ], + [ + "▁newborn", + -12.620091438293457 + ], + [ + "▁explicitly", + -12.620116233825684 + ], + [ + "simplest", + -12.620203018188477 + ], + [ + "▁plateforme", + -12.62023639678955 + ], + [ + "ordinate", + -12.620291709899902 + ], + [ + "displaying", + -12.620346069335938 + ], + [ + "▁messy", + -12.620464324951172 + ], + [ + "gespielt", + -12.620466232299805 + ], + [ + "▁electron", + -12.62061882019043 + ], + [ + "▁Dreh", + -12.620796203613281 + ], + [ + "▁ambient", + -12.620976448059082 + ], + [ + "340", + -12.620979309082031 + ], + [ + "▁directive", + -12.62109375 + ], + [ + "▁Vall", + -12.621152877807617 + ], + [ + "ookie", + -12.621206283569336 + ], + [ + "▁wasted", + -12.621304512023926 + ], + [ + "CIS", + -12.621367454528809 + ], + [ + "lude", + -12.621378898620605 + ], + [ + "rach", + -12.621472358703613 + ], + [ + "▁gasest", + -12.62150764465332 + ], + [ + "▁miros", + -12.62150764465332 + ], + [ + "transforming", + -12.621536254882812 + ], + [ + "▁Milwaukee", + -12.621787071228027 + ], + [ + "▁uncommon", + -12.621789932250977 + ], + [ + "▁tableau", + -12.621841430664062 + ], + [ + "geräte", + -12.621952056884766 + ], + [ + "ophil", + -12.622139930725098 + ], + [ + "▁Jeep", + -12.62220287322998 + ], + [ + "▁wreck", + -12.622422218322754 + ], + [ + "LAND", + -12.622434616088867 + ], + [ + "attach", + -12.622566223144531 + ], + [ + "▁Panther", + -12.622634887695312 + ], + [ + "9:30", + -12.622777938842773 + ], + [ + "▁induce", + -12.622974395751953 + ], + [ + "▁privest", + -12.623006820678711 + ], + [ + "Ident", + -12.623047828674316 + ], + [ + "▁illnesses", + -12.623076438903809 + ], + [ + "▁inhabitants", + -12.623138427734375 + ], + [ + "▁fehlen", + -12.623357772827148 + ], + [ + "obtenu", + -12.623391151428223 + ], + [ + "▁gegründet", + -12.623655319213867 + ], + [ + "ARA", + -12.623711585998535 + ], + [ + "3-2", + -12.623835563659668 + ], + [ + "▁milliards", + -12.623968124389648 + ], + [ + "▁Bü", + -12.624001502990723 + ], + [ + "▁angegeben", + -12.624102592468262 + ], + [ + "TUR", + -12.624143600463867 + ], + [ + "▁arab", + -12.624166488647461 + ], + [ + "▁Scientist", + -12.624275207519531 + ], + [ + "▁minut", + -12.624394416809082 + ], + [ + "▁beast", + -12.624481201171875 + ], + [ + "▁accidentally", + -12.624573707580566 + ], + [ + "WN", + -12.624579429626465 + ], + [ + "▁Ralph", + -12.624588966369629 + ], + [ + "hängt", + -12.62462329864502 + ], + [ + "▁Erik", + -12.624639511108398 + ], + [ + "▁différent", + -12.624711990356445 + ], + [ + "▁conformitate", + -12.624842643737793 + ], + [ + "thriving", + -12.624900817871094 + ], + [ + "▁Piece", + -12.625123023986816 + ], + [ + "plasm", + -12.625152587890625 + ], + [ + "▁erwarten", + -12.62520980834961 + ], + [ + "owski", + -12.62523365020752 + ], + [ + "prayed", + -12.625293731689453 + ], + [ + "three", + -12.625542640686035 + ], + [ + "▁soundtrack", + -12.625651359558105 + ], + [ + "guru", + -12.625709533691406 + ], + [ + "▁cracked", + -12.625710487365723 + ], + [ + "▁adh", + -12.625823020935059 + ], + [ + "▁maître", + -12.625834465026855 + ], + [ + "▁Oberfläche", + -12.62585735321045 + ], + [ + "▁crab", + -12.625886917114258 + ], + [ + "▁Foster", + -12.625944137573242 + ], + [ + "▁gemütlich", + -12.626145362854004 + ], + [ + "SIC", + -12.626226425170898 + ], + [ + "ième", + -12.626298904418945 + ], + [ + "▁Few", + -12.626330375671387 + ], + [ + "gérer", + -12.626360893249512 + ], + [ + "2006", + -12.626456260681152 + ], + [ + "cool", + -12.626498222351074 + ], + [ + "▁dispune", + -12.626523971557617 + ], + [ + "recevoir", + -12.626577377319336 + ], + [ + "▁Bak", + -12.626585960388184 + ], + [ + "▁steer", + -12.62659740447998 + ], + [ + "ICS", + -12.626733779907227 + ], + [ + "▁Brett", + -12.626733779907227 + ], + [ + "▁downside", + -12.626751899719238 + ], + [ + "▁residency", + -12.62678050994873 + ], + [ + "important", + -12.626991271972656 + ], + [ + "ubb", + -12.627073287963867 + ], + [ + "mony", + -12.627259254455566 + ], + [ + "▁leasing", + -12.627341270446777 + ], + [ + "▁Gir", + -12.62735366821289 + ], + [ + "▁Biology", + -12.627364158630371 + ], + [ + "▁Colin", + -12.627463340759277 + ], + [ + "▁complicat", + -12.627775192260742 + ], + [ + "▁regroup", + -12.627899169921875 + ], + [ + "SPA", + -12.627950668334961 + ], + [ + "▁Veranstaltungen", + -12.627986907958984 + ], + [ + "convicted", + -12.628019332885742 + ], + [ + "▁Wonderful", + -12.628636360168457 + ], + [ + "züge", + -12.628799438476562 + ], + [ + "yton", + -12.628813743591309 + ], + [ + "EMENT", + -12.628887176513672 + ], + [ + "▁bent", + -12.62893009185791 + ], + [ + "heben", + -12.629231452941895 + ], + [ + "▁Sustainable", + -12.62926959991455 + ], + [ + "▁Newcastle", + -12.629276275634766 + ], + [ + "mother", + -12.629507064819336 + ], + [ + "▁eighth", + -12.629572868347168 + ], + [ + "▁atmosfer", + -12.629582405090332 + ], + [ + "expériment", + -12.629584312438965 + ], + [ + "▁Interest", + -12.629608154296875 + ], + [ + "▁successes", + -12.62964153289795 + ], + [ + "▁preschool", + -12.629802703857422 + ], + [ + "▁Funeral", + -12.629900932312012 + ], + [ + "blast", + -12.630083084106445 + ], + [ + "▁dimensiuni", + -12.630125999450684 + ], + [ + "▁Dow", + -12.630167007446289 + ], + [ + "▁pulp", + -12.63022518157959 + ], + [ + "▁Heather", + -12.630356788635254 + ], + [ + "▁erstellen", + -12.63044261932373 + ], + [ + "locating", + -12.630470275878906 + ], + [ + "direct", + -12.630475997924805 + ], + [ + "▁tractor", + -12.630494117736816 + ], + [ + "growing", + -12.630576133728027 + ], + [ + "▁inventor", + -12.630587577819824 + ], + [ + "ASA", + -12.63060188293457 + ], + [ + "insta", + -12.630732536315918 + ], + [ + "yana", + -12.63082504272461 + ], + [ + "▁squash", + -12.630839347839355 + ], + [ + "▁Basketball", + -12.630853652954102 + ], + [ + "AMA", + -12.631041526794434 + ], + [ + "insel", + -12.631093978881836 + ], + [ + "▁Fisch", + -12.631138801574707 + ], + [ + "▁metaphor", + -12.631221771240234 + ], + [ + "TES", + -12.631304740905762 + ], + [ + "▁conduce", + -12.631308555603027 + ], + [ + "stehende", + -12.631370544433594 + ], + [ + "▁FAQ", + -12.631475448608398 + ], + [ + "▁bezeichnet", + -12.631658554077148 + ], + [ + "wendung", + -12.631706237792969 + ], + [ + "▁Commonwealth", + -12.631776809692383 + ], + [ + "▁bait", + -12.631793975830078 + ], + [ + "▁Umsetzung", + -12.631834030151367 + ], + [ + "▁Equi", + -12.632063865661621 + ], + [ + "▁validity", + -12.632109642028809 + ], + [ + "Off", + -12.63222599029541 + ], + [ + "▁produsul", + -12.632314682006836 + ], + [ + "▁sensory", + -12.632363319396973 + ], + [ + "▁Imperial", + -12.632501602172852 + ], + [ + "▁Dick", + -12.632542610168457 + ], + [ + "kampf", + -12.632596969604492 + ], + [ + "▁Arzt", + -12.63267993927002 + ], + [ + "▁Reason", + -12.63267993927002 + ], + [ + "ITS", + -12.63270092010498 + ], + [ + "URL", + -12.632720947265625 + ], + [ + "demonstrates", + -12.632725715637207 + ], + [ + "▁dépend", + -12.632753372192383 + ], + [ + "NAS", + -12.632970809936523 + ], + [ + "▁funcți", + -12.633031845092773 + ], + [ + "▁vulnerability", + -12.633085250854492 + ], + [ + "2.7", + -12.633143424987793 + ], + [ + "layered", + -12.633152961730957 + ], + [ + "escence", + -12.633206367492676 + ], + [ + "▁République", + -12.633346557617188 + ], + [ + "▁Lust", + -12.633377075195312 + ], + [ + "▁sute", + -12.633381843566895 + ], + [ + "▁autonomous", + -12.633661270141602 + ], + [ + "Biserica", + -12.633662223815918 + ], + [ + "▁Chuck", + -12.633749961853027 + ], + [ + "▁protéger", + -12.6339750289917 + ], + [ + "rrell", + -12.634061813354492 + ], + [ + "▁Schaden", + -12.634062767028809 + ], + [ + "prennent", + -12.634100914001465 + ], + [ + "maß", + -12.6343412399292 + ], + [ + "OV", + -12.634453773498535 + ], + [ + "▁Wake", + -12.63450813293457 + ], + [ + "produire", + -12.634635925292969 + ], + [ + "▁Elder", + -12.634749412536621 + ], + [ + "Max", + -12.634839057922363 + ], + [ + "▁Chemistry", + -12.634918212890625 + ], + [ + "▁gourmet", + -12.634918212890625 + ], + [ + "erri", + -12.634967803955078 + ], + [ + "ени", + -12.635085105895996 + ], + [ + "▁Gru", + -12.635147094726562 + ], + [ + "▁vorbit", + -12.635408401489258 + ], + [ + "▁precede", + -12.635455131530762 + ], + [ + "▁randomly", + -12.635489463806152 + ], + [ + "▁efecte", + -12.63563060760498 + ], + [ + "▁calatori", + -12.635668754577637 + ], + [ + "▁Poor", + -12.635765075683594 + ], + [ + "List", + -12.635781288146973 + ], + [ + "▁regula", + -12.635964393615723 + ], + [ + "▁organisé", + -12.636028289794922 + ], + [ + "Div", + -12.636076927185059 + ], + [ + "▁volunteering", + -12.636423110961914 + ], + [ + "▁horr", + -12.636449813842773 + ], + [ + "9.99", + -12.636487007141113 + ], + [ + "▁UPS", + -12.636513710021973 + ], + [ + "▁englez", + -12.63652229309082 + ], + [ + "▁Eden", + -12.636523246765137 + ], + [ + "GG", + -12.63659954071045 + ], + [ + "▁typing", + -12.63664722442627 + ], + [ + "Likewise", + -12.636700630187988 + ], + [ + "▁stabilize", + -12.636737823486328 + ], + [ + "physio", + -12.636747360229492 + ], + [ + "ми", + -12.636785507202148 + ], + [ + "▁protagonist", + -12.636808395385742 + ], + [ + "▁velvet", + -12.636812210083008 + ], + [ + "schrank", + -12.636861801147461 + ], + [ + "▁Allah", + -12.63693618774414 + ], + [ + "▁forefront", + -12.636968612670898 + ], + [ + "▁salaries", + -12.637001037597656 + ], + [ + "▁prediction", + -12.637041091918945 + ], + [ + "▁Advent", + -12.637182235717773 + ], + [ + "politik", + -12.637280464172363 + ], + [ + "▁Heimat", + -12.637350082397461 + ], + [ + "ducted", + -12.637380599975586 + ], + [ + "ASH", + -12.637386322021484 + ], + [ + "▁Mold", + -12.637773513793945 + ], + [ + "▁publi", + -12.63784122467041 + ], + [ + "▁Vil", + -12.637892723083496 + ], + [ + "▁stu", + -12.637925148010254 + ], + [ + "INTE", + -12.638032913208008 + ], + [ + "▁fave", + -12.638151168823242 + ], + [ + "▁grounded", + -12.638175010681152 + ], + [ + "▁Anything", + -12.638184547424316 + ], + [ + "vik", + -12.638481140136719 + ], + [ + "Bank", + -12.63853645324707 + ], + [ + "deserved", + -12.638550758361816 + ], + [ + "machen", + -12.63874626159668 + ], + [ + "▁rugged", + -12.638751029968262 + ], + [ + "▁Nest", + -12.638901710510254 + ], + [ + "▁profund", + -12.639043807983398 + ], + [ + "▁quantum", + -12.639067649841309 + ], + [ + "▁funcționa", + -12.639118194580078 + ], + [ + "klu", + -12.639158248901367 + ], + [ + "▁consulter", + -12.63917350769043 + ], + [ + "MED", + -12.639286994934082 + ], + [ + "▁câştig", + -12.639334678649902 + ], + [ + "▁săptămâni", + -12.639334678649902 + ], + [ + "questioned", + -12.639517784118652 + ], + [ + "▁Trop", + -12.639530181884766 + ], + [ + "▁convo", + -12.639533042907715 + ], + [ + "▁sparkling", + -12.639533996582031 + ], + [ + "▁specialise", + -12.639566421508789 + ], + [ + "▁pancake", + -12.639726638793945 + ], + [ + "habitude", + -12.639727592468262 + ], + [ + "phal", + -12.640009880065918 + ], + [ + "▁Roche", + -12.640158653259277 + ], + [ + "▁personalities", + -12.640250205993652 + ], + [ + "▁Venice", + -12.640308380126953 + ], + [ + "▁comerciale", + -12.640379905700684 + ], + [ + "▁wounded", + -12.64075756072998 + ], + [ + "▁oraş", + -12.640864372253418 + ], + [ + "▁Pepper", + -12.641044616699219 + ], + [ + "▁Tourist", + -12.641094207763672 + ], + [ + "▁Mull", + -12.64116382598877 + ], + [ + "▁dignity", + -12.641234397888184 + ], + [ + "▁Fixed", + -12.641291618347168 + ], + [ + "çant", + -12.64130687713623 + ], + [ + "▁spectator", + -12.641402244567871 + ], + [ + "▁somn", + -12.641685485839844 + ], + [ + "▁ständig", + -12.641820907592773 + ], + [ + "▁resilience", + -12.641866683959961 + ], + [ + "▁Malta", + -12.642251014709473 + ], + [ + "▁problemele", + -12.642253875732422 + ], + [ + "▁Martha", + -12.642254829406738 + ], + [ + "▁extern", + -12.642267227172852 + ], + [ + "embre", + -12.642379760742188 + ], + [ + "▁médical", + -12.642526626586914 + ], + [ + "fordern", + -12.64256477355957 + ], + [ + "nji", + -12.642592430114746 + ], + [ + "▁aboard", + -12.642740249633789 + ], + [ + "▁sidewalk", + -12.642759323120117 + ], + [ + "WIN", + -12.642775535583496 + ], + [ + "▁Bobby", + -12.642842292785645 + ], + [ + "▁umfangreiche", + -12.642876625061035 + ], + [ + "leid", + -12.64292049407959 + ], + [ + "▁compens", + -12.642967224121094 + ], + [ + "▁juge", + -12.64299488067627 + ], + [ + "gerufen", + -12.64311408996582 + ], + [ + "▁médicament", + -12.643135070800781 + ], + [ + "▁1918", + -12.643155097961426 + ], + [ + "▁blanche", + -12.643163681030273 + ], + [ + "▁pleasing", + -12.643220901489258 + ], + [ + "▁propria", + -12.643471717834473 + ], + [ + "ergebnisse", + -12.643503189086914 + ], + [ + "▁retrouv", + -12.643571853637695 + ], + [ + "urteil", + -12.643592834472656 + ], + [ + "▁Draft", + -12.64361572265625 + ], + [ + "▁concluzi", + -12.643671035766602 + ], + [ + "centralized", + -12.643789291381836 + ], + [ + "▁Hannah", + -12.64382266998291 + ], + [ + "grija", + -12.64392375946045 + ], + [ + "▁Exercise", + -12.643972396850586 + ], + [ + "RAL", + -12.644001960754395 + ], + [ + "creme", + -12.64408016204834 + ], + [ + "High", + -12.644126892089844 + ], + [ + "clude", + -12.644131660461426 + ], + [ + "Considering", + -12.644208908081055 + ], + [ + "▁Guarantee", + -12.644404411315918 + ], + [ + "▁cuptor", + -12.644436836242676 + ], + [ + "ivität", + -12.64468002319336 + ], + [ + "▁Southwest", + -12.644882202148438 + ], + [ + "▁vivant", + -12.644890785217285 + ], + [ + "Your", + -12.64498519897461 + ], + [ + "▁Stunde", + -12.645003318786621 + ], + [ + "▁Ethernet", + -12.645040512084961 + ], + [ + "angebote", + -12.645078659057617 + ], + [ + "▁Sage", + -12.645271301269531 + ], + [ + "▁Boeing", + -12.645295143127441 + ], + [ + "▁$300", + -12.645381927490234 + ], + [ + "2-4", + -12.64546012878418 + ], + [ + "▁nécessit", + -12.645516395568848 + ], + [ + "▁ferment", + -12.645599365234375 + ], + [ + "▁Anmeldung", + -12.64567756652832 + ], + [ + "▁exhausted", + -12.645758628845215 + ], + [ + "▁Schloss", + -12.645772933959961 + ], + [ + "▁Replacement", + -12.645859718322754 + ], + [ + "▁Aussi", + -12.645933151245117 + ], + [ + "jection", + -12.646127700805664 + ], + [ + "978", + -12.64615535736084 + ], + [ + "▁siège", + -12.646258354187012 + ], + [ + "crest", + -12.646310806274414 + ], + [ + "▁jumatate", + -12.646312713623047 + ], + [ + "effizient", + -12.646317481994629 + ], + [ + "▁colaborare", + -12.6464262008667 + ], + [ + "HQ", + -12.646615028381348 + ], + [ + "130", + -12.646695137023926 + ], + [ + "culaire", + -12.646907806396484 + ], + [ + "▁Jamaica", + -12.646952629089355 + ], + [ + "▁cardboard", + -12.64731216430664 + ], + [ + "▁technische", + -12.64731502532959 + ], + [ + "▁cereri", + -12.647507667541504 + ], + [ + "▁contradict", + -12.647570610046387 + ], + [ + "▁irrigation", + -12.647586822509766 + ], + [ + "Nume", + -12.64765739440918 + ], + [ + "▁Bier", + -12.647714614868164 + ], + [ + "▁livrare", + -12.647903442382812 + ], + [ + "▁reservoir", + -12.647906303405762 + ], + [ + "vâr", + -12.648130416870117 + ], + [ + "▁galben", + -12.648213386535645 + ], + [ + "▁Geneva", + -12.648303985595703 + ], + [ + "▁lightning", + -12.648418426513672 + ], + [ + "wished", + -12.64842414855957 + ], + [ + "▁Blind", + -12.648481369018555 + ], + [ + "Interested", + -12.648499488830566 + ], + [ + "▁Primări", + -12.648627281188965 + ], + [ + "anthropo", + -12.648954391479492 + ], + [ + "▁Transaction", + -12.648961067199707 + ], + [ + "▁marcat", + -12.648971557617188 + ], + [ + "▁gelegen", + -12.649077415466309 + ], + [ + "▁contemporain", + -12.649182319641113 + ], + [ + "▁politică", + -12.649182319641113 + ], + [ + "▁1948", + -12.64928150177002 + ], + [ + "▁Mik", + -12.649287223815918 + ], + [ + "▁preţ", + -12.649310111999512 + ], + [ + "moor", + -12.649312973022461 + ], + [ + "ANN", + -12.649432182312012 + ], + [ + "▁constructive", + -12.649454116821289 + ], + [ + "konzept", + -12.649502754211426 + ], + [ + "▁entendu", + -12.649511337280273 + ], + [ + "▁Genesis", + -12.649541854858398 + ], + [ + "arzt", + -12.649581909179688 + ], + [ + "▁Allgemein", + -12.64970874786377 + ], + [ + "▁Derby", + -12.649725914001465 + ], + [ + "Class", + -12.649762153625488 + ], + [ + "▁$12", + -12.649770736694336 + ], + [ + "▁Tube", + -12.6498441696167 + ], + [ + "▁Contribu", + -12.649847030639648 + ], + [ + "▁HAVE", + -12.649860382080078 + ], + [ + "▁oxide", + -12.64986515045166 + ], + [ + "▁producator", + -12.649941444396973 + ], + [ + "▁Bench", + -12.650132179260254 + ], + [ + "▁comprehend", + -12.650139808654785 + ], + [ + "▁Damen", + -12.650494575500488 + ], + [ + "▁Garant", + -12.65056037902832 + ], + [ + "▁disappointing", + -12.650614738464355 + ], + [ + "▁réalisée", + -12.650693893432617 + ], + [ + "▁comportement", + -12.65072250366211 + ], + [ + "▁clash", + -12.650753021240234 + ], + [ + "▁curry", + -12.65076732635498 + ], + [ + "▁Lebanon", + -12.65078067779541 + ], + [ + "▁Romaniei", + -12.650784492492676 + ], + [ + "▁reprise", + -12.650840759277344 + ], + [ + "▁perceive", + -12.65095329284668 + ], + [ + "▁weaknesses", + -12.65101146697998 + ], + [ + "▁aminti", + -12.651057243347168 + ], + [ + "▁Concern", + -12.651103973388672 + ], + [ + "shadow", + -12.651310920715332 + ], + [ + "▁basin", + -12.651311874389648 + ], + [ + "moral", + -12.652063369750977 + ], + [ + "▁Hughes", + -12.652101516723633 + ], + [ + "Psych", + -12.652266502380371 + ], + [ + "▁Lieferung", + -12.65227222442627 + ], + [ + "▁serrurier", + -12.652379035949707 + ], + [ + "ussi", + -12.652386665344238 + ], + [ + "▁timpului", + -12.6524658203125 + ], + [ + "üm", + -12.652629852294922 + ], + [ + "▁Vladimir", + -12.652701377868652 + ], + [ + "▁Jag", + -12.65279483795166 + ], + [ + "▁verific", + -12.652849197387695 + ], + [ + "▁Pru", + -12.652894020080566 + ], + [ + "▁Laut", + -12.653285026550293 + ], + [ + "ITA", + -12.653287887573242 + ], + [ + "usually", + -12.653294563293457 + ], + [ + "▁carrière", + -12.65341854095459 + ], + [ + "▁extracted", + -12.653663635253906 + ], + [ + "kultur", + -12.653679847717285 + ], + [ + "öpfe", + -12.653932571411133 + ], + [ + "▁rejection", + -12.654016494750977 + ], + [ + "▁Hydr", + -12.654062271118164 + ], + [ + "▁informaţii", + -12.654098510742188 + ], + [ + "▁tolerate", + -12.654122352600098 + ], + [ + "▁cinéma", + -12.654302597045898 + ], + [ + "traumatic", + -12.654305458068848 + ], + [ + "produkt", + -12.654450416564941 + ], + [ + "▁Contest", + -12.654560089111328 + ], + [ + "lotte", + -12.654570579528809 + ], + [ + "▁Pension", + -12.65461254119873 + ], + [ + "▁Advertising", + -12.654623985290527 + ], + [ + "▁payout", + -12.654772758483887 + ], + [ + "▁Amanda", + -12.65481185913086 + ], + [ + "Elect", + -12.65485668182373 + ], + [ + "▁interiorul", + -12.654996871948242 + ], + [ + "stay", + -12.655348777770996 + ], + [ + "▁feminine", + -12.655352592468262 + ], + [ + "▁întâmplă", + -12.655437469482422 + ], + [ + "▁insult", + -12.65562915802002 + ], + [ + "▁chocolat", + -12.65567398071289 + ], + [ + "▁noroc", + -12.655750274658203 + ], + [ + "▁centr", + -12.655781745910645 + ], + [ + "▁Bühne", + -12.655858039855957 + ], + [ + "mighty", + -12.6558837890625 + ], + [ + "▁Buddha", + -12.655908584594727 + ], + [ + "▁parental", + -12.655997276306152 + ], + [ + "storm", + -12.656451225280762 + ], + [ + "recurring", + -12.6565523147583 + ], + [ + "▁luxe", + -12.656588554382324 + ], + [ + "niște", + -12.656728744506836 + ], + [ + "cuit", + -12.656839370727539 + ], + [ + "▁ausgewählt", + -12.656880378723145 + ], + [ + "▁dumb", + -12.657047271728516 + ], + [ + "IPS", + -12.657127380371094 + ], + [ + "▁Thir", + -12.65717887878418 + ], + [ + "Definitely", + -12.657195091247559 + ], + [ + "▁hilarious", + -12.657195091247559 + ], + [ + "▁rainbow", + -12.657231330871582 + ], + [ + "▁Bravo", + -12.657251358032227 + ], + [ + "▁entstanden", + -12.657259941101074 + ], + [ + "itorul", + -12.657269477844238 + ], + [ + "▁prosperity", + -12.657299041748047 + ], + [ + "▁Bord", + -12.657336235046387 + ], + [ + "▁familiei", + -12.657363891601562 + ], + [ + "▁scade", + -12.657425880432129 + ], + [ + "wöhn", + -12.657426834106445 + ], + [ + "▁ingrediente", + -12.65743637084961 + ], + [ + "RAD", + -12.657441139221191 + ], + [ + "▁tăi", + -12.657472610473633 + ], + [ + "bours", + -12.65747356414795 + ], + [ + "ATI", + -12.657540321350098 + ], + [ + "▁Blake", + -12.65761661529541 + ], + [ + "▁Implement", + -12.657712936401367 + ], + [ + "▁Beziehung", + -12.657838821411133 + ], + [ + "finanz", + -12.657953262329102 + ], + [ + "intestin", + -12.658513069152832 + ], + [ + "ließen", + -12.658535957336426 + ], + [ + "▁récent", + -12.658594131469727 + ], + [ + "▁laminate", + -12.658692359924316 + ], + [ + "▁Hör", + -12.65876579284668 + ], + [ + "▁personnalisé", + -12.658804893493652 + ], + [ + "edel", + -12.65890121459961 + ], + [ + "▁advertisement", + -12.658902168273926 + ], + [ + "▁pinterest", + -12.658921241760254 + ], + [ + "185", + -12.659058570861816 + ], + [ + "identité", + -12.65938949584961 + ], + [ + "▁Brick", + -12.659408569335938 + ], + [ + "Glu", + -12.65941047668457 + ], + [ + "▁attendant", + -12.659571647644043 + ], + [ + "▁Flip", + -12.659614562988281 + ], + [ + "attracting", + -12.659662246704102 + ], + [ + "functional", + -12.659703254699707 + ], + [ + "conceived", + -12.659772872924805 + ], + [ + "▁summarize", + -12.659773826599121 + ], + [ + "adjusting", + -12.659809112548828 + ], + [ + "CAL", + -12.660041809082031 + ], + [ + "▁Operating", + -12.660076141357422 + ], + [ + "zzi", + -12.66008472442627 + ], + [ + "▁Rover", + -12.6603364944458 + ], + [ + "▁versuchen", + -12.6603364944458 + ], + [ + "▁articulate", + -12.660600662231445 + ], + [ + "▁privé", + -12.660614013671875 + ], + [ + "▁consequent", + -12.660663604736328 + ], + [ + "EAT", + -12.660690307617188 + ], + [ + "▁Marsh", + -12.660696983337402 + ], + [ + "▁teenage", + -12.660717964172363 + ], + [ + "▁Renaissance", + -12.660740852355957 + ], + [ + "▁furnizor", + -12.660883903503418 + ], + [ + "▁Desert", + -12.660894393920898 + ], + [ + "unicipiului", + -12.66104793548584 + ], + [ + "▁ulterior", + -12.661065101623535 + ], + [ + "▁Ebene", + -12.661280632019043 + ], + [ + "▁monkey", + -12.661351203918457 + ], + [ + "▁enclosed", + -12.661389350891113 + ], + [ + "▁profitability", + -12.66139030456543 + ], + [ + "▁Evolution", + -12.661628723144531 + ], + [ + "▁adica", + -12.661670684814453 + ], + [ + "▁Structure", + -12.661709785461426 + ], + [ + "▁primer", + -12.661761283874512 + ], + [ + "▁asigură", + -12.662001609802246 + ], + [ + "▁Manuel", + -12.662220001220703 + ], + [ + "polita", + -12.662267684936523 + ], + [ + "▁Portable", + -12.662286758422852 + ], + [ + "fecți", + -12.662413597106934 + ], + [ + "▁obscure", + -12.662424087524414 + ], + [ + "▁Atlas", + -12.662436485290527 + ], + [ + "fährt", + -12.662679672241211 + ], + [ + "▁clinician", + -12.662837982177734 + ], + [ + "fuhr", + -12.66310977935791 + ], + [ + "▁matériaux", + -12.663113594055176 + ], + [ + "écrire", + -12.663142204284668 + ], + [ + "▁suspicious", + -12.6632080078125 + ], + [ + "pore", + -12.663263320922852 + ], + [ + "▁outdated", + -12.663304328918457 + ], + [ + "▁Mädchen", + -12.663328170776367 + ], + [ + "rcis", + -12.663420677185059 + ], + [ + "nicht", + -12.663463592529297 + ], + [ + "holding", + -12.663561820983887 + ], + [ + "▁heavier", + -12.66366195678711 + ], + [ + "ezimal", + -12.663960456848145 + ], + [ + "▁silicone", + -12.66397476196289 + ], + [ + "punerea", + -12.664108276367188 + ], + [ + "▁begeistert", + -12.664237976074219 + ], + [ + "2004", + -12.664283752441406 + ], + [ + "▁predecessor", + -12.664299011230469 + ], + [ + "▁overlap", + -12.664369583129883 + ], + [ + "▁digging", + -12.664376258850098 + ], + [ + "▁Upgrade", + -12.664407730102539 + ], + [ + "▁interesat", + -12.664543151855469 + ], + [ + "▁spinach", + -12.66456127166748 + ], + [ + "▁politice", + -12.664626121520996 + ], + [ + "activity", + -12.664831161499023 + ], + [ + "▁Rating", + -12.66484546661377 + ], + [ + "▁serrure", + -12.664846420288086 + ], + [ + "▁tânăr", + -12.664959907531738 + ], + [ + "▁WHAT", + -12.664970397949219 + ], + [ + "▁railroad", + -12.664989471435547 + ], + [ + "▁avid", + -12.665081024169922 + ], + [ + "▁Sophie", + -12.665084838867188 + ], + [ + "preferably", + -12.665173530578613 + ], + [ + "▁Fourth", + -12.665431022644043 + ], + [ + "kommenden", + -12.665452003479004 + ], + [ + "QUI", + -12.665478706359863 + ], + [ + "lohn", + -12.665505409240723 + ], + [ + "▁promis", + -12.665611267089844 + ], + [ + "▁shrub", + -12.665621757507324 + ], + [ + "nummer", + -12.66579818725586 + ], + [ + "▁dinosaur", + -12.665922164916992 + ], + [ + "▁Lucky", + -12.665937423706055 + ], + [ + "relates", + -12.666038513183594 + ], + [ + "▁FROM", + -12.666049003601074 + ], + [ + "▁racism", + -12.66610336303711 + ], + [ + "physical", + -12.66611385345459 + ], + [ + "alcoholic", + -12.666119575500488 + ], + [ + "▁reef", + -12.666126251220703 + ], + [ + "▁centru", + -12.66618824005127 + ], + [ + "université", + -12.66622257232666 + ], + [ + "▁visage", + -12.666232109069824 + ], + [ + "ităţile", + -12.666253089904785 + ], + [ + "▁Gent", + -12.666345596313477 + ], + [ + "zugeben", + -12.66643238067627 + ], + [ + "▁paradise", + -12.66646957397461 + ], + [ + "fuel", + -12.666505813598633 + ], + [ + "ografie", + -12.666568756103516 + ], + [ + "▁TIP", + -12.666730880737305 + ], + [ + "schreibung", + -12.66683292388916 + ], + [ + "▁bark", + -12.666840553283691 + ], + [ + "accéder", + -12.666895866394043 + ], + [ + "▁contamination", + -12.666937828063965 + ], + [ + "▁swelling", + -12.666950225830078 + ], + [ + "▁optimistic", + -12.666974067687988 + ], + [ + "▁differential", + -12.667015075683594 + ], + [ + "▁Arad", + -12.667030334472656 + ], + [ + "toxins", + -12.667075157165527 + ], + [ + "▁übernehmen", + -12.667091369628906 + ], + [ + "▁anime", + -12.667143821716309 + ], + [ + "actuel", + -12.667462348937988 + ], + [ + "▁bientôt", + -12.667525291442871 + ], + [ + "▁Patio", + -12.66761302947998 + ], + [ + "▁baisse", + -12.667630195617676 + ], + [ + "▁sprint", + -12.66773796081543 + ], + [ + "▁bilden", + -12.66811466217041 + ], + [ + "VAL", + -12.668132781982422 + ], + [ + "▁réflexion", + -12.668220520019531 + ], + [ + "hopping", + -12.668242454528809 + ], + [ + "genesis", + -12.66834545135498 + ], + [ + "achtet", + -12.668435096740723 + ], + [ + "▁chinois", + -12.668525695800781 + ], + [ + "▁dezvoltat", + -12.668795585632324 + ], + [ + "arguably", + -12.66884708404541 + ], + [ + "▁Protocol", + -12.66884708404541 + ], + [ + "▁Sterling", + -12.668862342834473 + ], + [ + "▁Cave", + -12.668975830078125 + ], + [ + "▁Condo", + -12.66921615600586 + ], + [ + "▁erhöht", + -12.669235229492188 + ], + [ + "typische", + -12.669416427612305 + ], + [ + "merged", + -12.669439315795898 + ], + [ + "▁accumulation", + -12.669560432434082 + ], + [ + "sicherlich", + -12.669569969177246 + ], + [ + "kW", + -12.669620513916016 + ], + [ + "▁schriftlich", + -12.669757843017578 + ], + [ + "▁Vorteile", + -12.669918060302734 + ], + [ + "▁Northeast", + -12.669922828674316 + ], + [ + "frunt", + -12.669941902160645 + ], + [ + "istik", + -12.670003890991211 + ], + [ + "erster", + -12.670035362243652 + ], + [ + "▁Assistance", + -12.670150756835938 + ], + [ + "▁Fantastic", + -12.670150756835938 + ], + [ + "▁bărbat", + -12.670150756835938 + ], + [ + "▁Grinding", + -12.670151710510254 + ], + [ + "▁diffusion", + -12.670161247253418 + ], + [ + "▁vreun", + -12.670331954956055 + ], + [ + "▁Butler", + -12.670342445373535 + ], + [ + "▁Cherry", + -12.670352935791016 + ], + [ + "▁visualization", + -12.670540809631348 + ], + [ + "Paket", + -12.670572280883789 + ], + [ + "blin", + -12.670619010925293 + ], + [ + "▁cadou", + -12.670705795288086 + ], + [ + "▁Celtic", + -12.670754432678223 + ], + [ + "alegerea", + -12.670894622802734 + ], + [ + "▁Dorf", + -12.671035766601562 + ], + [ + "▁Noir", + -12.671185493469238 + ], + [ + "payment", + -12.67126750946045 + ], + [ + "▁Caroline", + -12.671334266662598 + ], + [ + "▁Berry", + -12.671359062194824 + ], + [ + "▁professeur", + -12.67147445678711 + ], + [ + "▁gratuitement", + -12.671503067016602 + ], + [ + "Suntem", + -12.671523094177246 + ], + [ + "IAN", + -12.671738624572754 + ], + [ + "▁fingerprint", + -12.671780586242676 + ], + [ + "▁controversy", + -12.671781539916992 + ], + [ + "▁fled", + -12.671875 + ], + [ + "▁Pokémon", + -12.67210865020752 + ], + [ + "excluding", + -12.67211627960205 + ], + [ + "▁friction", + -12.672161102294922 + ], + [ + "therapie", + -12.67225456237793 + ], + [ + "/7", + -12.672398567199707 + ], + [ + "▁designation", + -12.672442436218262 + ], + [ + "▁Belgia", + -12.672704696655273 + ], + [ + "▁cursuri", + -12.672836303710938 + ], + [ + "model", + -12.672840118408203 + ], + [ + "super", + -12.672987937927246 + ], + [ + "▁réduit", + -12.673028945922852 + ], + [ + "▁implicit", + -12.673177719116211 + ], + [ + "athlon", + -12.673227310180664 + ], + [ + "anniversaire", + -12.673416137695312 + ], + [ + "▁teaspoon", + -12.673416137695312 + ], + [ + "▁corrosion", + -12.673418998718262 + ], + [ + "▁überzeugt", + -12.673418998718262 + ], + [ + "▁flawless", + -12.673421859741211 + ], + [ + "▁vegetation", + -12.673477172851562 + ], + [ + "▁iarna", + -12.673507690429688 + ], + [ + "▁psychologist", + -12.673591613769531 + ], + [ + "hora", + -12.673625946044922 + ], + [ + "gab", + -12.67387580871582 + ], + [ + "▁soothing", + -12.674084663391113 + ], + [ + "▁stew", + -12.674141883850098 + ], + [ + "▁wager", + -12.674172401428223 + ], + [ + "▁tinere", + -12.674322128295898 + ], + [ + "▁baut", + -12.674323081970215 + ], + [ + "ecunoscut", + -12.674352645874023 + ], + [ + "gearbeitet", + -12.674422264099121 + ], + [ + "▁functi", + -12.674480438232422 + ], + [ + "▁dürfte", + -12.674724578857422 + ], + [ + "▁média", + -12.674724578857422 + ], + [ + "▁campanie", + -12.67475700378418 + ], + [ + "▁Distribu", + -12.674817085266113 + ], + [ + "▁mentoring", + -12.674959182739258 + ], + [ + "▁criz", + -12.675020217895508 + ], + [ + "findest", + -12.675056457519531 + ], + [ + "▁Vasile", + -12.675058364868164 + ], + [ + "▁compassionate", + -12.675115585327148 + ], + [ + "▁Tudor", + -12.675140380859375 + ], + [ + "▁flare", + -12.675260543823242 + ], + [ + "intreaga", + -12.675283432006836 + ], + [ + "gaz", + -12.6753511428833 + ], + [ + "▁porcelain", + -12.675379753112793 + ], + [ + "▁expedition", + -12.675520896911621 + ], + [ + "▁Azure", + -12.67553997039795 + ], + [ + "räumen", + -12.675549507141113 + ], + [ + "eiro", + -12.675567626953125 + ], + [ + "variante", + -12.675804138183594 + ], + [ + "▁Lucy", + -12.675825119018555 + ], + [ + "ôle", + -12.675909996032715 + ], + [ + "▁revenir", + -12.67602252960205 + ], + [ + "▁stained", + -12.676040649414062 + ], + [ + "▁falsch", + -12.676166534423828 + ], + [ + "▁incorpor", + -12.676166534423828 + ], + [ + "merkt", + -12.676187515258789 + ], + [ + "▁achten", + -12.6762056350708 + ], + [ + "▁hello", + -12.676290512084961 + ], + [ + "selben", + -12.676422119140625 + ], + [ + "ifty", + -12.676525115966797 + ], + [ + "▁Feier", + -12.67653751373291 + ], + [ + "1.000", + -12.676557540893555 + ], + [ + "▁Patch", + -12.676583290100098 + ], + [ + "peptid", + -12.676846504211426 + ], + [ + "▁recovering", + -12.676898956298828 + ], + [ + "Symptom", + -12.677020072937012 + ], + [ + "▁Auckland", + -12.677020072937012 + ], + [ + "▁retrieve", + -12.677328109741211 + ], + [ + "▁800-", + -12.67733097076416 + ], + [ + "schlagen", + -12.677473068237305 + ], + [ + "▁lourd", + -12.677562713623047 + ], + [ + "▁Purple", + -12.67760181427002 + ], + [ + "▁mittels", + -12.677776336669922 + ], + [ + "▁Düsseldorf", + -12.67800521850586 + ], + [ + "▁getaway", + -12.67803955078125 + ], + [ + "▁Cedar", + -12.678061485290527 + ], + [ + "▁Function", + -12.678241729736328 + ], + [ + "▁bizarre", + -12.67833423614502 + ], + [ + "4.3", + -12.67849063873291 + ], + [ + "▁fundraiser", + -12.67866325378418 + ], + [ + "geared", + -12.678780555725098 + ], + [ + "▁privée", + -12.678781509399414 + ], + [ + "▁Bonjour", + -12.67894458770752 + ], + [ + "Gar", + -12.67895793914795 + ], + [ + "▁Lloyd", + -12.678991317749023 + ], + [ + "▁Reinigung", + -12.6790132522583 + ], + [ + "▁Geno", + -12.679155349731445 + ], + [ + "▁Teilnahme", + -12.67919635772705 + ], + [ + "pian", + -12.679362297058105 + ], + [ + "sammelt", + -12.679368019104004 + ], + [ + "Pad", + -12.679755210876465 + ], + [ + "▁Troy", + -12.67976188659668 + ], + [ + "HG", + -12.679943084716797 + ], + [ + "▁klein", + -12.679962158203125 + ], + [ + "▁lettuce", + -12.679978370666504 + ], + [ + "▁patrimoine", + -12.679978370666504 + ], + [ + "▁cooker", + -12.680055618286133 + ], + [ + "▁accesibil", + -12.680137634277344 + ], + [ + "▁Spray", + -12.680201530456543 + ], + [ + "▁negotiation", + -12.68047046661377 + ], + [ + "▁jewel", + -12.680480003356934 + ], + [ + "▁dynamique", + -12.68063735961914 + ], + [ + "▁plastique", + -12.68067741394043 + ], + [ + "▁Limo", + -12.680682182312012 + ], + [ + "▁Funk", + -12.68069076538086 + ], + [ + "▁omului", + -12.680702209472656 + ], + [ + "title", + -12.680768013000488 + ], + [ + "curved", + -12.68082046508789 + ], + [ + "▁Lemon", + -12.680851936340332 + ], + [ + "förder", + -12.680891990661621 + ], + [ + "▁bewusst", + -12.681112289428711 + ], + [ + "inevitably", + -12.681296348571777 + ], + [ + "▁derivative", + -12.681297302246094 + ], + [ + "2:30", + -12.681300163269043 + ], + [ + "komfort", + -12.681305885314941 + ], + [ + "original", + -12.681480407714844 + ], + [ + "sanct", + -12.681540489196777 + ], + [ + "▁matte", + -12.6815767288208 + ], + [ + "empêche", + -12.681628227233887 + ], + [ + "▁jucător", + -12.681634902954102 + ], + [ + "▁attentive", + -12.681640625 + ], + [ + "▁recunoscut", + -12.681674003601074 + ], + [ + "▁Brush", + -12.68167495727539 + ], + [ + "▁consommateur", + -12.68183422088623 + ], + [ + "érence", + -12.682063102722168 + ], + [ + "typical", + -12.682084083557129 + ], + [ + "strategie", + -12.682205200195312 + ], + [ + "Effekt", + -12.682290077209473 + ], + [ + "▁Alcohol", + -12.682292938232422 + ], + [ + "oji", + -12.682333946228027 + ], + [ + "▁ruler", + -12.682357788085938 + ], + [ + "▁Norwegian", + -12.682615280151367 + ], + [ + "▁PlayStation", + -12.682615280151367 + ], + [ + "▁Hook", + -12.682747840881348 + ], + [ + "▁viewpoint", + -12.682759284973145 + ], + [ + "THER", + -12.682841300964355 + ], + [ + "420", + -12.682888984680176 + ], + [ + "Consequently", + -12.68294620513916 + ], + [ + "▁entschieden", + -12.68294620513916 + ], + [ + "▁Trag", + -12.68295669555664 + ], + [ + "▁Dawn", + -12.683003425598145 + ], + [ + "▁fuss", + -12.68301773071289 + ], + [ + "*****", + -12.683040618896484 + ], + [ + "▁Bullet", + -12.683140754699707 + ], + [ + "CAM", + -12.683155059814453 + ], + [ + "▁wonderfully", + -12.683201789855957 + ], + [ + "▁parlamentar", + -12.683263778686523 + ], + [ + "▁geometric", + -12.683307647705078 + ], + [ + "talement", + -12.683321952819824 + ], + [ + "/2018", + -12.683577537536621 + ], + [ + "▁oversight", + -12.684036254882812 + ], + [ + "kindly", + -12.684080123901367 + ], + [ + "therm", + -12.684305191040039 + ], + [ + "▁treaba", + -12.6846342086792 + ], + [ + "▁Trim", + -12.68471908569336 + ], + [ + "▁intelege", + -12.684842109680176 + ], + [ + "cino", + -12.685032844543457 + ], + [ + "▁straw", + -12.68508529663086 + ], + [ + "Tru", + -12.685251235961914 + ], + [ + "▁Television", + -12.68530559539795 + ], + [ + "Trader", + -12.68538761138916 + ], + [ + "▁Passion", + -12.685394287109375 + ], + [ + "rescu", + -12.685622215270996 + ], + [ + "Nicol", + -12.685635566711426 + ], + [ + "luj", + -12.685805320739746 + ], + [ + "▁mijloace", + -12.685921669006348 + ], + [ + "▁Removal", + -12.685922622680664 + ], + [ + "▁1944", + -12.686034202575684 + ], + [ + "▁shortcut", + -12.686159133911133 + ], + [ + "▁Fett", + -12.686258316040039 + ], + [ + "largement", + -12.686371803283691 + ], + [ + "▁altern", + -12.686446189880371 + ], + [ + "▁cleansing", + -12.686562538146973 + ], + [ + "▁Qatar", + -12.686692237854004 + ], + [ + "▁Ceci", + -12.686826705932617 + ], + [ + "▁weave", + -12.686848640441895 + ], + [ + "schmerz", + -12.686878204345703 + ], + [ + "▁dots", + -12.686888694763184 + ], + [ + "Télécharger", + -12.68691635131836 + ], + [ + "▁Conduct", + -12.686944007873535 + ], + [ + "bekannten", + -12.687325477600098 + ], + [ + "▁lungime", + -12.687344551086426 + ], + [ + "▁Ferrari", + -12.687390327453613 + ], + [ + "▁totusi", + -12.687605857849121 + ], + [ + "▁Anniversary", + -12.687911033630371 + ], + [ + "▁wilderness", + -12.687911987304688 + ], + [ + "▁Christoph", + -12.687939643859863 + ], + [ + "▁Nikon", + -12.688112258911133 + ], + [ + "▁Digi", + -12.68818473815918 + ], + [ + "▁Blumen", + -12.688190460205078 + ], + [ + "▁altul", + -12.688249588012695 + ], + [ + "▁Parish", + -12.688321113586426 + ], + [ + "czy", + -12.688393592834473 + ], + [ + "▁temper", + -12.688401222229004 + ], + [ + "▁Powder", + -12.688576698303223 + ], + [ + "▁Arnold", + -12.688577651977539 + ], + [ + "capacitatea", + -12.688687324523926 + ], + [ + "nderungen", + -12.688787460327148 + ], + [ + "▁utilization", + -12.688859939575195 + ], + [ + "99%", + -12.688942909240723 + ], + [ + "▁Fear", + -12.689099311828613 + ], + [ + "JE", + -12.689165115356445 + ], + [ + "▁Simpson", + -12.689239501953125 + ], + [ + "▁Podcast", + -12.68924617767334 + ], + [ + "▁Cardinal", + -12.689290046691895 + ], + [ + "▁Distribution", + -12.689315795898438 + ], + [ + "▁Drawing", + -12.689373970031738 + ], + [ + "▁tint", + -12.689412117004395 + ], + [ + "▁hran", + -12.68945598602295 + ], + [ + "▁Slide", + -12.68960189819336 + ], + [ + "▁Vertrauen", + -12.689654350280762 + ], + [ + "cloth", + -12.68971061706543 + ], + [ + "▁redirect", + -12.689728736877441 + ], + [ + "126", + -12.689842224121094 + ], + [ + "▁constituie", + -12.68985652923584 + ], + [ + "Mai", + -12.690070152282715 + ], + [ + "▁idol", + -12.690088272094727 + ], + [ + "▁tehnice", + -12.690163612365723 + ], + [ + "dip", + -12.690393447875977 + ], + [ + "▁soldier", + -12.690400123596191 + ], + [ + "▁Ordin", + -12.690409660339355 + ], + [ + "wobe", + -12.69050407409668 + ], + [ + "▁Brent", + -12.69058895111084 + ], + [ + "▁Sudan", + -12.690597534179688 + ], + [ + "6000", + -12.690619468688965 + ], + [ + "turism", + -12.690689086914062 + ], + [ + "▁Rocky", + -12.690744400024414 + ], + [ + "naming", + -12.69092082977295 + ], + [ + "▁entrepreneurial", + -12.690925598144531 + ], + [ + "hearted", + -12.690962791442871 + ], + [ + "ayne", + -12.69097900390625 + ], + [ + "▁hover", + -12.691081047058105 + ], + [ + "▁skull", + -12.691279411315918 + ], + [ + "▁tribal", + -12.691407203674316 + ], + [ + "▁crafting", + -12.691543579101562 + ], + [ + "bewertungen", + -12.691569328308105 + ], + [ + "▁decizii", + -12.691625595092773 + ], + [ + "obwohl", + -12.691655158996582 + ], + [ + "▁compromised", + -12.691875457763672 + ], + [ + "▁quelqu", + -12.69195556640625 + ], + [ + "▁Hilton", + -12.692075729370117 + ], + [ + "▁maturity", + -12.692095756530762 + ], + [ + "gelesen", + -12.692100524902344 + ], + [ + "▁harbor", + -12.69210433959961 + ], + [ + "▁maple", + -12.692326545715332 + ], + [ + "▁développ", + -12.6924409866333 + ], + [ + "▁Nobody", + -12.692517280578613 + ], + [ + "équipement", + -12.69255542755127 + ], + [ + "121", + -12.69274616241455 + ], + [ + "140", + -12.692827224731445 + ], + [ + "▁artistes", + -12.692914962768555 + ], + [ + "▁depune", + -12.692941665649414 + ], + [ + "▁erase", + -12.693129539489746 + ], + [ + "▁erzählt", + -12.693197250366211 + ], + [ + "▁Hyundai", + -12.69323444366455 + ], + [ + "▁impairment", + -12.69323444366455 + ], + [ + "▁conving", + -12.693279266357422 + ], + [ + "chasing", + -12.693426132202148 + ], + [ + "▁Claus", + -12.693438529968262 + ], + [ + "▁adaptée", + -12.693687438964844 + ], + [ + "▁Raz", + -12.693740844726562 + ], + [ + "rugs", + -12.693796157836914 + ], + [ + "▁urme", + -12.69387435913086 + ], + [ + "Nonetheless", + -12.693902015686035 + ], + [ + "▁Cemetery", + -12.693902969360352 + ], + [ + "umps", + -12.693906784057617 + ], + [ + "ACA", + -12.694003105163574 + ], + [ + "▁perioade", + -12.694235801696777 + ], + [ + "▁slogan", + -12.694263458251953 + ], + [ + "▁downward", + -12.694441795349121 + ], + [ + "eidig", + -12.694446563720703 + ], + [ + "RAC", + -12.69444751739502 + ], + [ + "▁inaugur", + -12.694496154785156 + ], + [ + "се", + -12.694588661193848 + ], + [ + "▁înțeleg", + -12.694608688354492 + ], + [ + "▁hopeful", + -12.694635391235352 + ], + [ + "▁customization", + -12.6946439743042 + ], + [ + "▁prisoners", + -12.694708824157715 + ], + [ + "▁Rau", + -12.695270538330078 + ], + [ + "▁Pitt", + -12.695389747619629 + ], + [ + "ături", + -12.695542335510254 + ], + [ + "▁metabolic", + -12.695842742919922 + ], + [ + "▁Zach", + -12.695868492126465 + ], + [ + "▁umfassende", + -12.695914268493652 + ], + [ + "▁révél", + -12.695950508117676 + ], + [ + "131", + -12.696052551269531 + ], + [ + "ismului", + -12.696062088012695 + ], + [ + "▁Sac", + -12.696076393127441 + ], + [ + "efficacité", + -12.69624137878418 + ], + [ + "cruci", + -12.69625473022461 + ], + [ + "bisschen", + -12.69632339477539 + ], + [ + "▁Oster", + -12.696324348449707 + ], + [ + "lowered", + -12.6964693069458 + ], + [ + "▁Ausland", + -12.69674015045166 + ], + [ + "▁Pub", + -12.696794509887695 + ], + [ + "▁Marseille", + -12.696925163269043 + ], + [ + "▁Charter", + -12.696959495544434 + ], + [ + "howcasing", + -12.697010040283203 + ], + [ + "risti", + -12.6971435546875 + ], + [ + "▁thermostat", + -12.697151184082031 + ], + [ + "▁Clin", + -12.697233200073242 + ], + [ + "▁entsteht", + -12.697246551513672 + ], + [ + "Choosing", + -12.697248458862305 + ], + [ + "▁Schmerz", + -12.697284698486328 + ], + [ + "▁Till", + -12.697307586669922 + ], + [ + "▁Polo", + -12.697399139404297 + ], + [ + "▁proceduri", + -12.697402000427246 + ], + [ + "▁Believe", + -12.697444915771484 + ], + [ + "▁playful", + -12.697514533996582 + ], + [ + "▁verändert", + -12.697588920593262 + ], + [ + "▁pairing", + -12.697654724121094 + ], + [ + "MAG", + -12.69784927368164 + ], + [ + "leiste", + -12.69788932800293 + ], + [ + "▁testimonial", + -12.697916030883789 + ], + [ + "▁Economy", + -12.697916984558105 + ], + [ + "▁Wechsel", + -12.697918891906738 + ], + [ + "wirkung", + -12.69801139831543 + ], + [ + "▁exceeded", + -12.698030471801758 + ], + [ + "South", + -12.698067665100098 + ], + [ + "create", + -12.698221206665039 + ], + [ + "▁davantage", + -12.698270797729492 + ], + [ + "Log", + -12.69831657409668 + ], + [ + "▁irregular", + -12.698587417602539 + ], + [ + "VB", + -12.698691368103027 + ], + [ + "▁Rö", + -12.698741912841797 + ], + [ + "▁intreb", + -12.698881149291992 + ], + [ + "▁penser", + -12.698920249938965 + ], + [ + "▁déclaré", + -12.698923110961914 + ], + [ + "▁Tommy", + -12.699026107788086 + ], + [ + "2,500", + -12.699163436889648 + ], + [ + "▁Uganda", + -12.699260711669922 + ], + [ + "contacting", + -12.699445724487305 + ], + [ + "▁apreciat", + -12.699485778808594 + ], + [ + "▁beginnen", + -12.6995210647583 + ], + [ + "▁Gain", + -12.699580192565918 + ], + [ + "Office", + -12.69969654083252 + ], + [ + "ermittlung", + -12.699710845947266 + ], + [ + "▁Admission", + -12.699727058410645 + ], + [ + "▁Earl", + -12.6997652053833 + ], + [ + "▁Aviation", + -12.699833869934082 + ], + [ + "▁apologize", + -12.699929237365723 + ], + [ + "▁enclosure", + -12.699929237365723 + ], + [ + "▁Lack", + -12.69998836517334 + ], + [ + "wife", + -12.699995994567871 + ], + [ + "▁rotating", + -12.700016975402832 + ], + [ + "▁hergestellt", + -12.700020790100098 + ], + [ + "▁repository", + -12.70002269744873 + ], + [ + "TK", + -12.700149536132812 + ], + [ + "▁lectur", + -12.700190544128418 + ], + [ + "▁reflex", + -12.700286865234375 + ], + [ + "▁Harmon", + -12.700401306152344 + ], + [ + "▁vrem", + -12.700479507446289 + ], + [ + "▁Strange", + -12.70055103302002 + ], + [ + "▁champagne", + -12.700615882873535 + ], + [ + "▁oscil", + -12.700647354125977 + ], + [ + "sensitive", + -12.700677871704102 + ], + [ + "▁Sheriff", + -12.700841903686523 + ], + [ + "PRES", + -12.700956344604492 + ], + [ + "▁vow", + -12.70123291015625 + ], + [ + "▁dioxide", + -12.701276779174805 + ], + [ + "ен", + -12.701374053955078 + ], + [ + "▁corpului", + -12.701376914978027 + ], + [ + "▁prevăzut", + -12.70160961151123 + ], + [ + "India", + -12.701827049255371 + ], + [ + "hausse", + -12.70189094543457 + ], + [ + "▁clienți", + -12.701957702636719 + ], + [ + "▁entour", + -12.70202350616455 + ], + [ + "▁Sharp", + -12.70209789276123 + ], + [ + "▁teatru", + -12.702285766601562 + ], + [ + "▁Grow", + -12.702327728271484 + ], + [ + "▁caravan", + -12.70234203338623 + ], + [ + "▁sieben", + -12.702420234680176 + ], + [ + "▁cunosc", + -12.702502250671387 + ], + [ + "Bereichen", + -12.702527046203613 + ], + [ + "▁Benutzer", + -12.702619552612305 + ], + [ + "▁Ethiopia", + -12.702619552612305 + ], + [ + "▁Physics", + -12.702619552612305 + ], + [ + "preserving", + -12.70263385772705 + ], + [ + "ал", + -12.702712059020996 + ], + [ + "▁aerial", + -12.70272159576416 + ], + [ + "▁nouvel", + -12.702741622924805 + ], + [ + "▁stamped", + -12.702954292297363 + ], + [ + "▁inaugural", + -12.702970504760742 + ], + [ + "▁medicinal", + -12.702999114990234 + ], + [ + "Quite", + -12.703028678894043 + ], + [ + "accumulated", + -12.703165054321289 + ], + [ + "register", + -12.703271865844727 + ], + [ + "▁Falcon", + -12.70327377319336 + ], + [ + "▁boiling", + -12.703301429748535 + ], + [ + "▁advertised", + -12.703339576721191 + ], + [ + "collect", + -12.703362464904785 + ], + [ + "albeit", + -12.703418731689453 + ], + [ + "▁Organis", + -12.703473091125488 + ], + [ + "luate", + -12.703536033630371 + ], + [ + "▁préféré", + -12.70369815826416 + ], + [ + "▁frumoasa", + -12.703968048095703 + ], + [ + "▁truc", + -12.704092979431152 + ], + [ + "▁Fä", + -12.704154968261719 + ], + [ + "▁dome", + -12.704180717468262 + ], + [ + "Mobile", + -12.704191207885742 + ], + [ + "▁redeem", + -12.704198837280273 + ], + [ + "IONS", + -12.70422077178955 + ], + [ + "▁țări", + -12.704235076904297 + ], + [ + "▁singular", + -12.704385757446289 + ], + [ + "▁livestock", + -12.704425811767578 + ], + [ + "▁démont", + -12.704427719116211 + ], + [ + "clés", + -12.704527854919434 + ], + [ + "music", + -12.704561233520508 + ], + [ + "▁explicat", + -12.704602241516113 + ], + [ + "▁Fellowship", + -12.704703330993652 + ], + [ + "▁electrode", + -12.704760551452637 + ], + [ + "129", + -12.704977035522461 + ], + [ + "▁Rescue", + -12.704983711242676 + ], + [ + "▁Rocket", + -12.705159187316895 + ], + [ + "OSE", + -12.705301284790039 + ], + [ + "▁Sacramento", + -12.705317497253418 + ], + [ + "▁Haiti", + -12.705357551574707 + ], + [ + "▁Erwachsene", + -12.705390930175781 + ], + [ + "▁Terminal", + -12.70541000366211 + ], + [ + "URI", + -12.705453872680664 + ], + [ + "▁Rural", + -12.70549201965332 + ], + [ + "▁achizitiona", + -12.70552921295166 + ], + [ + "▁identifiable", + -12.705655097961426 + ], + [ + "▁gekauft", + -12.705659866333008 + ], + [ + "▁improper", + -12.705673217773438 + ], + [ + "lashes", + -12.705751419067383 + ], + [ + "vorbim", + -12.705751419067383 + ], + [ + "▁hinder", + -12.705862045288086 + ], + [ + "▁Grenz", + -12.705878257751465 + ], + [ + "Nav", + -12.705955505371094 + ], + [ + "alimentation", + -12.705972671508789 + ], + [ + "▁Cottage", + -12.7059965133667 + ], + [ + "▁nötig", + -12.706197738647461 + ], + [ + "▁cuprinde", + -12.70622444152832 + ], + [ + "session", + -12.706256866455078 + ], + [ + "▁Separat", + -12.70634651184082 + ], + [ + "▁besuchen", + -12.706672668457031 + ], + [ + "▁noodles", + -12.706684112548828 + ], + [ + "▁ballet", + -12.706696510314941 + ], + [ + "WG", + -12.706731796264648 + ], + [ + "▁Duty", + -12.706871032714844 + ], + [ + "▁porc", + -12.706944465637207 + ], + [ + "▁booster", + -12.70698356628418 + ], + [ + "galerie", + -12.707056045532227 + ], + [ + "▁Lance", + -12.707119941711426 + ], + [ + "▁déplac", + -12.707178115844727 + ], + [ + "▁rugby", + -12.707240104675293 + ], + [ + "▁upholstery", + -12.707345962524414 + ], + [ + "▁bustl", + -12.70736312866211 + ], + [ + "▁Dealer", + -12.70740032196045 + ], + [ + "▁genome", + -12.707414627075195 + ], + [ + "▁citizenship", + -12.707466125488281 + ], + [ + "rora", + -12.707515716552734 + ], + [ + "ARK", + -12.707776069641113 + ], + [ + "▁Semi", + -12.707820892333984 + ], + [ + "▁Improvement", + -12.707892417907715 + ], + [ + "▁negru", + -12.708142280578613 + ], + [ + "▁Bruxelles", + -12.70836067199707 + ], + [ + "flüge", + -12.70837688446045 + ], + [ + "▁Technique", + -12.708392143249512 + ], + [ + "▁Obst", + -12.708413124084473 + ], + [ + "2020", + -12.708560943603516 + ], + [ + "▁gek", + -12.708593368530273 + ], + [ + "▁drepturi", + -12.708600997924805 + ], + [ + "▁Logan", + -12.708605766296387 + ], + [ + "gelöst", + -12.70863151550293 + ], + [ + "▁grandparents", + -12.708702087402344 + ], + [ + "phin", + -12.708950996398926 + ], + [ + "▁dwell", + -12.709037780761719 + ], + [ + "▁Nobel", + -12.709151268005371 + ], + [ + "dial", + -12.70927906036377 + ], + [ + "▁spontan", + -12.709344863891602 + ], + [ + "advancing", + -12.70937728881836 + ], + [ + "starring", + -12.70947551727295 + ], + [ + "▁astea", + -12.709498405456543 + ], + [ + "igueur", + -12.709638595581055 + ], + [ + "▁Ancient", + -12.709700584411621 + ], + [ + "filter", + -12.70971965789795 + ], + [ + "Doar", + -12.709758758544922 + ], + [ + "▁Workers", + -12.709759712219238 + ], + [ + "Certainly", + -12.709906578063965 + ], + [ + "▁commencé", + -12.709914207458496 + ], + [ + "▁zipper", + -12.710001945495605 + ], + [ + "▁Selection", + -12.710070610046387 + ], + [ + "▁succ", + -12.710280418395996 + ], + [ + "headed", + -12.710345268249512 + ], + [ + "RIA", + -12.710350036621094 + ], + [ + "▁papa", + -12.710366249084473 + ], + [ + "▁profesionale", + -12.710394859313965 + ], + [ + "▁Zeichen", + -12.710402488708496 + ], + [ + "▁artisans", + -12.710489273071289 + ], + [ + "▁Geist", + -12.710585594177246 + ], + [ + "practic", + -12.710741996765137 + ], + [ + "▁ministrul", + -12.71076488494873 + ], + [ + "viens", + -12.710912704467773 + ], + [ + "prezintă", + -12.710919380187988 + ], + [ + "Integrated", + -12.710981369018555 + ], + [ + "▁rooftop", + -12.710989952087402 + ], + [ + "▁successor", + -12.710991859436035 + ], + [ + "OTO", + -12.711012840270996 + ], + [ + "liés", + -12.711027145385742 + ], + [ + "▁Diver", + -12.71121597290039 + ], + [ + "Specifically", + -12.711297988891602 + ], + [ + "▁calibr", + -12.711301803588867 + ], + [ + "KK", + -12.711341857910156 + ], + [ + "▁défense", + -12.711414337158203 + ], + [ + "▁english", + -12.711414337158203 + ], + [ + "verbrauch", + -12.711418151855469 + ], + [ + "▁attire", + -12.711433410644531 + ], + [ + "▁Recipe", + -12.711441040039062 + ], + [ + "équilibre", + -12.711457252502441 + ], + [ + "accumul", + -12.71157169342041 + ], + [ + "▁financement", + -12.71169662475586 + ], + [ + "rij", + -12.711962699890137 + ], + [ + "▁prince", + -12.711999893188477 + ], + [ + "▁préparer", + -12.7120361328125 + ], + [ + "surviving", + -12.71211051940918 + ], + [ + "operation", + -12.712233543395996 + ], + [ + "▁judet", + -12.71242904663086 + ], + [ + "▁Verantwortung", + -12.712433815002441 + ], + [ + "▁Vinyl", + -12.712536811828613 + ], + [ + "DEN", + -12.712584495544434 + ], + [ + "▁Tail", + -12.712589263916016 + ], + [ + "yearly", + -12.712590217590332 + ], + [ + "▁comisi", + -12.712613105773926 + ], + [ + "lava", + -12.71261978149414 + ], + [ + "▁succession", + -12.71264934539795 + ], + [ + "▁Whisk", + -12.713030815124512 + ], + [ + "▁precizat", + -12.713096618652344 + ], + [ + "▁unmittelbar", + -12.713117599487305 + ], + [ + "ICH", + -12.713139533996582 + ], + [ + "▁atteint", + -12.713199615478516 + ], + [ + "▁hometown", + -12.713268280029297 + ], + [ + "▁Zip", + -12.71328353881836 + ], + [ + "▁Weekly", + -12.71336841583252 + ], + [ + "▁crashes", + -12.713401794433594 + ], + [ + "▁Turbo", + -12.713421821594238 + ], + [ + "▁susține", + -12.713468551635742 + ], + [ + "▁Venus", + -12.713587760925293 + ], + [ + "▁finalement", + -12.713595390319824 + ], + [ + "rewarded", + -12.713693618774414 + ], + [ + "▁principau", + -12.713899612426758 + ], + [ + "▁régional", + -12.713979721069336 + ], + [ + "▁1958", + -12.714178085327148 + ], + [ + "▁Musical", + -12.714189529418945 + ], + [ + "▁stylist", + -12.714251518249512 + ], + [ + "cetate", + -12.714282035827637 + ], + [ + "gorge", + -12.71433162689209 + ], + [ + "▁espresso", + -12.714493751525879 + ], + [ + "überall", + -12.714576721191406 + ], + [ + "▁NHL", + -12.714593887329102 + ], + [ + "▁Dock", + -12.71472454071045 + ], + [ + "▁mosquito", + -12.71481704711914 + ], + [ + "▁forthcoming", + -12.714852333068848 + ], + [ + "▁Visitors", + -12.714881896972656 + ], + [ + "kro", + -12.714882850646973 + ], + [ + "_______", + -12.715048789978027 + ], + [ + "▁STEM", + -12.715105056762695 + ], + [ + "9.5", + -12.715141296386719 + ], + [ + "accompagne", + -12.715177536010742 + ], + [ + "▁Trick", + -12.715202331542969 + ], + [ + "▁endorsement", + -12.715400695800781 + ], + [ + "▁amplifier", + -12.715498924255371 + ], + [ + "▁malicious", + -12.715499877929688 + ], + [ + "▁roam", + -12.71552848815918 + ], + [ + "▁kennt", + -12.715635299682617 + ], + [ + "Connor", + -12.715690612792969 + ], + [ + "▁dysfunction", + -12.715828895568848 + ], + [ + "▁zuverlässig", + -12.715840339660645 + ], + [ + "▁corpul", + -12.71595573425293 + ], + [ + "▁boule", + -12.715967178344727 + ], + [ + "otti", + -12.715991973876953 + ], + [ + "440", + -12.716050148010254 + ], + [ + "▁mimic", + -12.716056823730469 + ], + [ + "farben", + -12.716129302978516 + ], + [ + "▁Wagner", + -12.716214179992676 + ], + [ + "Kom", + -12.7162504196167 + ], + [ + "▁miteinander", + -12.716269493103027 + ], + [ + "▁String", + -12.716296195983887 + ], + [ + "▁Ellis", + -12.716313362121582 + ], + [ + "▁Perth", + -12.716337203979492 + ], + [ + "▁temperatura", + -12.716381072998047 + ], + [ + "umbling", + -12.716397285461426 + ], + [ + "▁Medizin", + -12.716554641723633 + ], + [ + "▁KY", + -12.71660327911377 + ], + [ + "apei", + -12.716642379760742 + ], + [ + "counter", + -12.716647148132324 + ], + [ + "strich", + -12.71665096282959 + ], + [ + "▁Între", + -12.716652870178223 + ], + [ + "▁Cliff", + -12.716785430908203 + ], + [ + "▁foreclosure", + -12.716864585876465 + ], + [ + "................", + -12.716878890991211 + ], + [ + "Clearly", + -12.717028617858887 + ], + [ + "AJ", + -12.717057228088379 + ], + [ + "ndro", + -12.717180252075195 + ], + [ + "▁Arsenal", + -12.717206001281738 + ], + [ + "▁Recherche", + -12.717216491699219 + ], + [ + "Guests", + -12.717225074768066 + ], + [ + "▁besucht", + -12.717242240905762 + ], + [ + "wissen", + -12.717266082763672 + ], + [ + "fekt", + -12.717414855957031 + ], + [ + "hottest", + -12.717414855957031 + ], + [ + "▁Tomorrow", + -12.717547416687012 + ], + [ + "▁Signature", + -12.717557907104492 + ], + [ + "127", + -12.717583656311035 + ], + [ + "▁competence", + -12.71766471862793 + ], + [ + "Einige", + -12.717686653137207 + ], + [ + "patented", + -12.71782112121582 + ], + [ + "▁Exhibition", + -12.717889785766602 + ], + [ + "▁verbessern", + -12.717889785766602 + ], + [ + "▁Garcia", + -12.718043327331543 + ], + [ + "▁inquire", + -12.718278884887695 + ], + [ + "coping", + -12.718353271484375 + ], + [ + "▁linguri", + -12.71842098236084 + ], + [ + "▁trivia", + -12.718433380126953 + ], + [ + "▁începutul", + -12.718489646911621 + ], + [ + "▁parteneriat", + -12.7186279296875 + ], + [ + "tagen", + -12.718636512756348 + ], + [ + "▁engagé", + -12.718916893005371 + ], + [ + "▁chalk", + -12.718944549560547 + ], + [ + "▁fashionable", + -12.719416618347168 + ], + [ + "0.8", + -12.719635009765625 + ], + [ + "▁sticker", + -12.719751358032227 + ], + [ + "▁desperately", + -12.719765663146973 + ], + [ + "höhe", + -12.719903945922852 + ], + [ + "▁fericire", + -12.71994400024414 + ], + [ + "évaluation", + -12.719948768615723 + ], + [ + "▁Divide", + -12.719959259033203 + ], + [ + "▁indulge", + -12.719979286193848 + ], + [ + "fett", + -12.720014572143555 + ], + [ + "▁communal", + -12.72017765045166 + ], + [ + "▁mindful", + -12.720187187194824 + ], + [ + "dauert", + -12.720192909240723 + ], + [ + "▁veille", + -12.720263481140137 + ], + [ + "▁vér", + -12.720330238342285 + ], + [ + "▁Baseball", + -12.720373153686523 + ], + [ + "▁succeeded", + -12.720418930053711 + ], + [ + "▁Terrasse", + -12.720420837402344 + ], + [ + "irgend", + -12.720500946044922 + ], + [ + "▁Munich", + -12.720556259155273 + ], + [ + "weisung", + -12.72067642211914 + ], + [ + "metre", + -12.720916748046875 + ], + [ + "▁Raymond", + -12.721015930175781 + ], + [ + "▁chute", + -12.72102165222168 + ], + [ + "▁Accounting", + -12.721075057983398 + ], + [ + "▁pantry", + -12.721122741699219 + ], + [ + "▁underwater", + -12.721181869506836 + ], + [ + "ARI", + -12.721222877502441 + ], + [ + "lowed", + -12.721245765686035 + ], + [ + "numbered", + -12.721430778503418 + ], + [ + "REN", + -12.72148609161377 + ], + [ + "▁industriel", + -12.721489906311035 + ], + [ + "wäh", + -12.721531867980957 + ], + [ + "kenntnis", + -12.721631050109863 + ], + [ + "▁govern", + -12.721635818481445 + ], + [ + "strained", + -12.721661567687988 + ], + [ + "▁rythme", + -12.721689224243164 + ], + [ + "ин", + -12.72169303894043 + ], + [ + "▁burner", + -12.721723556518555 + ], + [ + "▁zählt", + -12.721790313720703 + ], + [ + "▁verte", + -12.721883773803711 + ], + [ + "▁Catalog", + -12.721896171569824 + ], + [ + "▁Bruno", + -12.721988677978516 + ], + [ + "0.7", + -12.721997261047363 + ], + [ + "▁litig", + -12.72207260131836 + ], + [ + "▁greet", + -12.722129821777344 + ], + [ + "▁stool", + -12.722393035888672 + ], + [ + "gression", + -12.722457885742188 + ], + [ + "▁Klassen", + -12.722491264343262 + ], + [ + "▁neon", + -12.722661018371582 + ], + [ + "▁Tall", + -12.722734451293945 + ], + [ + "▁satin", + -12.722895622253418 + ], + [ + "▁Bend", + -12.722915649414062 + ], + [ + "▁soluţi", + -12.723077774047852 + ], + [ + "▁styl", + -12.723196983337402 + ], + [ + "▁Siri", + -12.723358154296875 + ], + [ + "▁Sanders", + -12.723464012145996 + ], + [ + "▁spike", + -12.723499298095703 + ], + [ + "pinion", + -12.723854064941406 + ], + [ + "▁purta", + -12.724122047424316 + ], + [ + "CARE", + -12.724224090576172 + ], + [ + "▁creştere", + -12.724311828613281 + ], + [ + "▁fry", + -12.724374771118164 + ], + [ + "▁Schweizer", + -12.724400520324707 + ], + [ + "durchschnittlich", + -12.724411010742188 + ], + [ + "celaşi", + -12.724446296691895 + ], + [ + "▁deceased", + -12.724474906921387 + ], + [ + "▁Nerv", + -12.724668502807617 + ], + [ + "2-2", + -12.7247314453125 + ], + [ + "▁Stahl", + -12.724753379821777 + ], + [ + "▁workload", + -12.724834442138672 + ], + [ + "erhielt", + -12.724984169006348 + ], + [ + "▁hypothesis", + -12.725103378295898 + ], + [ + "bib", + -12.725110054016113 + ], + [ + "▁ţară", + -12.725116729736328 + ], + [ + "vaut", + -12.725122451782227 + ], + [ + "prehensi", + -12.725184440612793 + ], + [ + "▁Offering", + -12.725188255310059 + ], + [ + "▁dislike", + -12.725252151489258 + ], + [ + "▁firewall", + -12.725252151489258 + ], + [ + "mania", + -12.725255966186523 + ], + [ + "195", + -12.725278854370117 + ], + [ + "▁Champ", + -12.725324630737305 + ], + [ + "▁philosophical", + -12.725343704223633 + ], + [ + "länge", + -12.72553539276123 + ], + [ + "advisable", + -12.725785255432129 + ], + [ + "negotiating", + -12.725785255432129 + ], + [ + "Providing", + -12.725791931152344 + ], + [ + "▁1959", + -12.725801467895508 + ], + [ + "▁spyware", + -12.725831031799316 + ], + [ + "sharing", + -12.725837707519531 + ], + [ + "▁prévoi", + -12.725905418395996 + ], + [ + "▁jaune", + -12.7260103225708 + ], + [ + "schoss", + -12.726028442382812 + ], + [ + "▁obține", + -12.726129531860352 + ], + [ + "▁attraktiv", + -12.726489067077637 + ], + [ + "gemeinschaft", + -12.7265043258667 + ], + [ + "BV", + -12.726505279541016 + ], + [ + "Top", + -12.726617813110352 + ], + [ + "▁Sharon", + -12.726625442504883 + ], + [ + "bok", + -12.726675033569336 + ], + [ + "▁résist", + -12.726811408996582 + ], + [ + "Napoca", + -12.726822853088379 + ], + [ + "▁Uncategorized", + -12.726898193359375 + ], + [ + "▁trustee", + -12.726936340332031 + ], + [ + "▁remise", + -12.727025985717773 + ], + [ + "▁aştept", + -12.727165222167969 + ], + [ + "▁allergic", + -12.727206230163574 + ], + [ + "èvre", + -12.727211952209473 + ], + [ + "LAR", + -12.72734546661377 + ], + [ + "1.9", + -12.727497100830078 + ], + [ + "▁outbreak", + -12.727520942687988 + ], + [ + "▁trocken", + -12.727568626403809 + ], + [ + "▁laughter", + -12.727724075317383 + ], + [ + "▁Attend", + -12.727785110473633 + ], + [ + "jung", + -12.727822303771973 + ], + [ + "racking", + -12.727934837341309 + ], + [ + "ORS", + -12.728178024291992 + ], + [ + "▁rasp", + -12.728527069091797 + ], + [ + "VF", + -12.728551864624023 + ], + [ + "▁Tamil", + -12.72860050201416 + ], + [ + "124", + -12.728602409362793 + ], + [ + "▁Fiber", + -12.728714942932129 + ], + [ + "▁launches", + -12.728755950927734 + ], + [ + "Post", + -12.728777885437012 + ], + [ + "▁bucks", + -12.729072570800781 + ], + [ + "▁Nicholas", + -12.72923755645752 + ], + [ + "▁cărți", + -12.729255676269531 + ], + [ + "emper", + -12.729681968688965 + ], + [ + "Point", + -12.729689598083496 + ], + [ + "fraction", + -12.729753494262695 + ], + [ + "▁BIG", + -12.729804992675781 + ], + [ + "▁lancer", + -12.729829788208008 + ], + [ + "EVER", + -12.72997760772705 + ], + [ + "trend", + -12.73000431060791 + ], + [ + "▁remerci", + -12.730076789855957 + ], + [ + "▁prevalent", + -12.730168342590332 + ], + [ + "370", + -12.730290412902832 + ], + [ + "▁bestellen", + -12.730327606201172 + ], + [ + "Buying", + -12.730341911315918 + ], + [ + "▁Aufbau", + -12.730416297912598 + ], + [ + "▁opini", + -12.730416297912598 + ], + [ + "▁regiune", + -12.730663299560547 + ], + [ + "▁martial", + -12.73069953918457 + ], + [ + "LK", + -12.730754852294922 + ], + [ + "▁Feuerwehr", + -12.730974197387695 + ], + [ + "screened", + -12.73099422454834 + ], + [ + "Blue", + -12.73120403289795 + ], + [ + "▁analize", + -12.731237411499023 + ], + [ + "▁lure", + -12.731247901916504 + ], + [ + "▁internally", + -12.731283187866211 + ], + [ + "father", + -12.731322288513184 + ], + [ + "▁diplomatic", + -12.731343269348145 + ], + [ + "▁Activity", + -12.731464385986328 + ], + [ + "▁cliqu", + -12.73156452178955 + ], + [ + "▁adequately", + -12.731809616088867 + ], + [ + "▁Elena", + -12.73183822631836 + ], + [ + "▁Citizens", + -12.732102394104004 + ], + [ + "▁Länge", + -12.732295989990234 + ], + [ + "▁respectful", + -12.732300758361816 + ], + [ + "▁zuständig", + -12.73248291015625 + ], + [ + "▁réception", + -12.732584953308105 + ], + [ + "▁headset", + -12.732686996459961 + ], + [ + "▁awhile", + -12.732705116271973 + ], + [ + "▁speculation", + -12.732707977294922 + ], + [ + "▁WhatsApp", + -12.732714653015137 + ], + [ + "▁tulbur", + -12.732731819152832 + ], + [ + "▁voluntar", + -12.732758522033691 + ], + [ + "▁Studium", + -12.73277473449707 + ], + [ + "▁protector", + -12.732833862304688 + ], + [ + "▁Wrap", + -12.732840538024902 + ], + [ + "staat", + -12.732951164245605 + ], + [ + "▁judgement", + -12.733396530151367 + ], + [ + "unauthorized", + -12.733397483825684 + ], + [ + "Rank", + -12.733487129211426 + ], + [ + "pră", + -12.733503341674805 + ], + [ + "▁Paw", + -12.733627319335938 + ], + [ + "▁relev", + -12.733664512634277 + ], + [ + "▁arbor", + -12.733830451965332 + ], + [ + "stretches", + -12.733885765075684 + ], + [ + "nook", + -12.733906745910645 + ], + [ + "▁Tunis", + -12.733907699584961 + ], + [ + "▁shocking", + -12.734036445617676 + ], + [ + "▁oppress", + -12.73414421081543 + ], + [ + "10.1", + -12.7341890335083 + ], + [ + "▁ERP", + -12.734310150146484 + ], + [ + "wolle", + -12.7343168258667 + ], + [ + "▁Catch", + -12.734352111816406 + ], + [ + "Plus", + -12.734368324279785 + ], + [ + "Market", + -12.734445571899414 + ], + [ + "scribed", + -12.734536170959473 + ], + [ + "▁décoration", + -12.734594345092773 + ], + [ + "▁chanson", + -12.734607696533203 + ], + [ + "▁Midwest", + -12.734763145446777 + ], + [ + "▁Spencer", + -12.734795570373535 + ], + [ + "▁societate", + -12.734807968139648 + ], + [ + "curated", + -12.735087394714355 + ], + [ + "▁canopy", + -12.735135078430176 + ], + [ + "ат", + -12.735142707824707 + ], + [ + "Sig", + -12.73514461517334 + ], + [ + "▁witch", + -12.735153198242188 + ], + [ + "envoyer", + -12.735175132751465 + ], + [ + "▁$1,000", + -12.735230445861816 + ], + [ + "▁peripheral", + -12.735482215881348 + ], + [ + "nnouncing", + -12.735509872436523 + ], + [ + "perfect", + -12.73559284210205 + ], + [ + "▁warten", + -12.735748291015625 + ], + [ + "ELI", + -12.735822677612305 + ], + [ + "▁recap", + -12.735912322998047 + ], + [ + "dün", + -12.735978126525879 + ], + [ + "▁Spre", + -12.736029624938965 + ], + [ + "2005", + -12.736153602600098 + ], + [ + "▁réparation", + -12.73617935180664 + ], + [ + "▁extraordinar", + -12.736196517944336 + ], + [ + "existence", + -12.736337661743164 + ], + [ + "oanele", + -12.736467361450195 + ], + [ + "▁reprezentant", + -12.736474990844727 + ], + [ + "▁attacker", + -12.736490249633789 + ], + [ + "▁Berliner", + -12.73657512664795 + ], + [ + "experience", + -12.736649513244629 + ], + [ + "▁Monde", + -12.736800193786621 + ], + [ + "intervention", + -12.736956596374512 + ], + [ + "▁Einstellung", + -12.736977577209473 + ], + [ + "▁Valentin", + -12.737011909484863 + ], + [ + "▁zonă", + -12.737200736999512 + ], + [ + "occupant", + -12.737223625183105 + ], + [ + "▁mobilis", + -12.737260818481445 + ], + [ + "metall", + -12.737261772155762 + ], + [ + "evangeli", + -12.73729133605957 + ], + [ + "Adding", + -12.737326622009277 + ], + [ + "▁Roland", + -12.73735237121582 + ], + [ + "ENCE", + -12.737462043762207 + ], + [ + "▁Insul", + -12.737478256225586 + ], + [ + "tellement", + -12.737497329711914 + ], + [ + "▁Blogger", + -12.737499237060547 + ], + [ + "▁prote", + -12.737504005432129 + ], + [ + "▁Minimum", + -12.737574577331543 + ], + [ + "▁termic", + -12.737624168395996 + ], + [ + "▁Sachen", + -12.737859725952148 + ], + [ + "▁Maschinen", + -12.737863540649414 + ], + [ + "▁Dragnea", + -12.737926483154297 + ], + [ + "▁overtime", + -12.737967491149902 + ], + [ + "calorie", + -12.737968444824219 + ], + [ + "▁jene", + -12.73814868927002 + ], + [ + "▁Satan", + -12.738153457641602 + ], + [ + "▁currencies", + -12.73827075958252 + ], + [ + "▁echipamente", + -12.738329887390137 + ], + [ + "▁forgiveness", + -12.73843765258789 + ], + [ + "▁Pause", + -12.738479614257812 + ], + [ + "▁Witt", + -12.738529205322266 + ], + [ + "STOR", + -12.738632202148438 + ], + [ + "▁actuelle", + -12.738703727722168 + ], + [ + "▁Ard", + -12.738853454589844 + ], + [ + "▁Constitu", + -12.738880157470703 + ], + [ + "ghan", + -12.7388916015625 + ], + [ + "Make", + -12.738906860351562 + ], + [ + "▁garne", + -12.738947868347168 + ], + [ + "▁Hitler", + -12.738956451416016 + ], + [ + "▁rubbish", + -12.738973617553711 + ], + [ + "6.0", + -12.739025115966797 + ], + [ + "▁Giving", + -12.739177703857422 + ], + [ + "▁persever", + -12.73937702178955 + ], + [ + "wirk", + -12.7394380569458 + ], + [ + "liegenden", + -12.739455223083496 + ], + [ + "▁morceau", + -12.73946762084961 + ], + [ + "atty", + -12.73961067199707 + ], + [ + "▁Quebec", + -12.739669799804688 + ], + [ + "harmonie", + -12.739705085754395 + ], + [ + "Nummer", + -12.739721298217773 + ], + [ + "▁splendid", + -12.739747047424316 + ], + [ + "▁halfway", + -12.739808082580566 + ], + [ + "▁periodically", + -12.740071296691895 + ], + [ + "▁Ländern", + -12.740077018737793 + ], + [ + "▁AAA", + -12.740083694458008 + ], + [ + "▁Frost", + -12.740198135375977 + ], + [ + "▁heroin", + -12.740289688110352 + ], + [ + "▁bucurie", + -12.7403564453125 + ], + [ + "▁Pradesh", + -12.74036693572998 + ], + [ + "zusetzen", + -12.740405082702637 + ], + [ + "raising", + -12.740425109863281 + ], + [ + "▁furniz", + -12.740567207336426 + ], + [ + "▁convi", + -12.740575790405273 + ], + [ + "pictured", + -12.740911483764648 + ], + [ + "▁inadequate", + -12.741065979003906 + ], + [ + "▁aprobat", + -12.741069793701172 + ], + [ + "▁exercising", + -12.741083145141602 + ], + [ + "▁faisai", + -12.741138458251953 + ], + [ + "▁prosecution", + -12.741231918334961 + ], + [ + "380", + -12.741402626037598 + ], + [ + "▁Potential", + -12.74145793914795 + ], + [ + "▁Magi", + -12.741523742675781 + ], + [ + "From", + -12.741752624511719 + ], + [ + "batterie", + -12.74181079864502 + ], + [ + "▁poisson", + -12.74185562133789 + ], + [ + "▁Probe", + -12.741950988769531 + ], + [ + "▁pastel", + -12.741998672485352 + ], + [ + "▁tracked", + -12.742410659790039 + ], + [ + "▁advertisers", + -12.74251937866211 + ], + [ + "adevar", + -12.742537498474121 + ], + [ + "ит", + -12.742776870727539 + ], + [ + "▁Herren", + -12.742815971374512 + ], + [ + "EAM", + -12.742820739746094 + ], + [ + "▁scooter", + -12.742822647094727 + ], + [ + "requesting", + -12.742841720581055 + ], + [ + "dynamis", + -12.742949485778809 + ], + [ + "▁dahin", + -12.742961883544922 + ], + [ + "▁tweak", + -12.743061065673828 + ], + [ + "▁hail", + -12.743101119995117 + ], + [ + "▁întotdeauna", + -12.743160247802734 + ], + [ + "▁Publikum", + -12.743167877197266 + ], + [ + "▁panoramic", + -12.743167877197266 + ], + [ + "▁PRE", + -12.74331283569336 + ], + [ + "▁thrill", + -12.743361473083496 + ], + [ + "Open", + -12.743366241455078 + ], + [ + "▁Layer", + -12.74345588684082 + ], + [ + "▁Bosch", + -12.743459701538086 + ], + [ + "hull", + -12.743511199951172 + ], + [ + "▁născut", + -12.743518829345703 + ], + [ + "tausch", + -12.743559837341309 + ], + [ + "▁autoturism", + -12.743577003479004 + ], + [ + "▁crank", + -12.743701934814453 + ], + [ + "CLE", + -12.743735313415527 + ], + [ + "▁Frederick", + -12.74386978149414 + ], + [ + "mog", + -12.743887901306152 + ], + [ + "behalten", + -12.74396800994873 + ], + [ + "▁aunt", + -12.744050979614258 + ], + [ + "▁Triple", + -12.744141578674316 + ], + [ + "▁Ark", + -12.744242668151855 + ], + [ + "AUD", + -12.744440078735352 + ], + [ + "▁Candy", + -12.744505882263184 + ], + [ + "tama", + -12.744515419006348 + ], + [ + "▁Evaluation", + -12.744571685791016 + ], + [ + "▁Memphis", + -12.744571685791016 + ], + [ + "▁stellar", + -12.74457836151123 + ], + [ + "▁fabricat", + -12.744632720947266 + ], + [ + "▁terminat", + -12.744868278503418 + ], + [ + "▁domnul", + -12.744913101196289 + ], + [ + "▁keynote", + -12.744925498962402 + ], + [ + "▁dentistry", + -12.744951248168945 + ], + [ + "rift", + -12.745052337646484 + ], + [ + "▁bilan", + -12.745119094848633 + ], + [ + "2.6", + -12.745125770568848 + ], + [ + "undergoing", + -12.745210647583008 + ], + [ + "▁pseudo", + -12.745274543762207 + ], + [ + "▁maşin", + -12.745280265808105 + ], + [ + "▁munte", + -12.74555492401123 + ], + [ + "▁VW", + -12.745932579040527 + ], + [ + "▁Rab", + -12.74593448638916 + ], + [ + "▁sustine", + -12.745972633361816 + ], + [ + "▁Bedingungen", + -12.745977401733398 + ], + [ + "▁învăţ", + -12.745980262756348 + ], + [ + "▁pyramid", + -12.745983123779297 + ], + [ + "HEN", + -12.746020317077637 + ], + [ + "▁citrus", + -12.746058464050293 + ], + [ + "Code", + -12.746064186096191 + ], + [ + "▁Beginning", + -12.746164321899414 + ], + [ + "▁discourse", + -12.746249198913574 + ], + [ + "▁miercuri", + -12.746329307556152 + ], + [ + "▁producător", + -12.74637508392334 + ], + [ + "▁analys", + -12.746397972106934 + ], + [ + "▁Evan", + -12.7467041015625 + ], + [ + "138", + -12.746987342834473 + ], + [ + "▁târziu", + -12.74703311920166 + ], + [ + "▁relocation", + -12.747052192687988 + ], + [ + "decizia", + -12.74708080291748 + ], + [ + "tollen", + -12.74714183807373 + ], + [ + "TRO", + -12.747180938720703 + ], + [ + "▁runway", + -12.74719524383545 + ], + [ + "illet", + -12.747270584106445 + ], + [ + "▁serveur", + -12.747387886047363 + ], + [ + "bezogen", + -12.747427940368652 + ], + [ + "▁believers", + -12.747668266296387 + ], + [ + "determined", + -12.747711181640625 + ], + [ + "▁reinforced", + -12.74791431427002 + ], + [ + "▁wedge", + -12.748006820678711 + ], + [ + "methyl", + -12.74807357788086 + ], + [ + "MES", + -12.748188018798828 + ], + [ + "vpn", + -12.748374938964844 + ], + [ + "▁consta", + -12.74837875366211 + ], + [ + "▁vizitat", + -12.748420715332031 + ], + [ + "modul", + -12.748455047607422 + ], + [ + "▁routing", + -12.748528480529785 + ], + [ + "tempted", + -12.748540878295898 + ], + [ + "URS", + -12.748785018920898 + ], + [ + "apprentissage", + -12.748795509338379 + ], + [ + "▁Hungary", + -12.748796463012695 + ], + [ + "Previously", + -12.74880313873291 + ], + [ + "▁translator", + -12.748804092407227 + ], + [ + "▁resonate", + -12.748830795288086 + ], + [ + "201", + -12.748851776123047 + ], + [ + "3-0", + -12.749029159545898 + ], + [ + "▁reunion", + -12.749090194702148 + ], + [ + "▁palate", + -12.749096870422363 + ], + [ + "0.4", + -12.749171257019043 + ], + [ + "reheat", + -12.74924373626709 + ], + [ + "Roo", + -12.749261856079102 + ], + [ + "200,000", + -12.74940013885498 + ], + [ + "Bro", + -12.749431610107422 + ], + [ + "▁estimation", + -12.749468803405762 + ], + [ + "schneiden", + -12.749499320983887 + ], + [ + "▁Inspired", + -12.749506950378418 + ], + [ + "▁lottery", + -12.749539375305176 + ], + [ + "▁Friedrich", + -12.749887466430664 + ], + [ + "FIT", + -12.749913215637207 + ], + [ + "0.6", + -12.7499418258667 + ], + [ + "▁dagegen", + -12.74997615814209 + ], + [ + "▁Reb", + -12.750115394592285 + ], + [ + "▁Eigenschaften", + -12.75020694732666 + ], + [ + "▁molding", + -12.750361442565918 + ], + [ + "▁Harper", + -12.750548362731934 + ], + [ + "verwaltung", + -12.75055980682373 + ], + [ + "▁Schlüssel", + -12.75055980682373 + ], + [ + "▁desfasura", + -12.75055980682373 + ], + [ + "▁rencontrer", + -12.75055980682373 + ], + [ + "▁negoci", + -12.750581741333008 + ], + [ + "▁Leading", + -12.750615119934082 + ], + [ + "▁necesita", + -12.750652313232422 + ], + [ + "▁biking", + -12.750683784484863 + ], + [ + "▁jointly", + -12.75069808959961 + ], + [ + "▁crush", + -12.750702857971191 + ], + [ + "Vol", + -12.750768661499023 + ], + [ + "▁ebay", + -12.750836372375488 + ], + [ + "▁Shri", + -12.750991821289062 + ], + [ + "▁AMD", + -12.751029968261719 + ], + [ + "FG", + -12.751032829284668 + ], + [ + "Argentin", + -12.75120735168457 + ], + [ + "▁incercat", + -12.751431465148926 + ], + [ + "▁tidy", + -12.751628875732422 + ], + [ + "▁provoqu", + -12.751635551452637 + ], + [ + "▁Written", + -12.751649856567383 + ], + [ + "▁Kooperation", + -12.751666069030762 + ], + [ + "▁scripture", + -12.751952171325684 + ], + [ + "▁Pflicht", + -12.751974105834961 + ], + [ + "ficial", + -12.752013206481934 + ], + [ + "vremea", + -12.752013206481934 + ], + [ + "▁Growing", + -12.752115249633789 + ], + [ + "▁redesign", + -12.752119064331055 + ], + [ + "▁obstacle", + -12.752214431762695 + ], + [ + "▁rugam", + -12.752235412597656 + ], + [ + "▁SPD", + -12.752243995666504 + ], + [ + "165", + -12.752270698547363 + ], + [ + "fiz", + -12.752284049987793 + ], + [ + "▁startet", + -12.752326011657715 + ], + [ + "▁Principle", + -12.752327919006348 + ], + [ + "▁abdominal", + -12.752327919006348 + ], + [ + "▁podium", + -12.752528190612793 + ], + [ + "duty", + -12.752616882324219 + ], + [ + "bonne", + -12.752679824829102 + ], + [ + "▁Serbia", + -12.752687454223633 + ], + [ + "▁brunch", + -12.752839088439941 + ], + [ + "▁Personne", + -12.752975463867188 + ], + [ + "▁Idea", + -12.753034591674805 + ], + [ + "forementioned", + -12.753036499023438 + ], + [ + "▁chassis", + -12.753037452697754 + ], + [ + "gebühr", + -12.753050804138184 + ], + [ + "ucun", + -12.753061294555664 + ], + [ + "▁Maz", + -12.7531156539917 + ], + [ + "1-4", + -12.75318431854248 + ], + [ + "kleid", + -12.753273963928223 + ], + [ + "▁Volvo", + -12.753337860107422 + ], + [ + "brechen", + -12.753378868103027 + ], + [ + "▁homepage", + -12.753472328186035 + ], + [ + "fuz", + -12.753509521484375 + ], + [ + "▁abgeschlossen", + -12.753595352172852 + ], + [ + "▁gelungen", + -12.753658294677734 + ], + [ + "▁booklet", + -12.753711700439453 + ], + [ + "▁Ukrainian", + -12.753745079040527 + ], + [ + "▁Melissa", + -12.753746032714844 + ], + [ + "CENT", + -12.75379467010498 + ], + [ + "▁intégré", + -12.753806114196777 + ], + [ + "weighing", + -12.753827095031738 + ], + [ + "▁crumbl", + -12.753894805908203 + ], + [ + "▁bunk", + -12.754167556762695 + ], + [ + "krieg", + -12.754207611083984 + ], + [ + "▁freshman", + -12.754307746887207 + ], + [ + "alaya", + -12.754339218139648 + ], + [ + "Avem", + -12.754353523254395 + ], + [ + "▁Kne", + -12.754423141479492 + ], + [ + "▁upstairs", + -12.75448226928711 + ], + [ + "AIL", + -12.754508972167969 + ], + [ + "țul", + -12.75478744506836 + ], + [ + "▁Lecture", + -12.754817962646484 + ], + [ + "▁entdecken", + -12.754843711853027 + ], + [ + "▁GMT", + -12.754912376403809 + ], + [ + "▁Leitung", + -12.754937171936035 + ], + [ + "▁inclined", + -12.755170822143555 + ], + [ + "▁skillet", + -12.75555419921875 + ], + [ + "FN", + -12.755742073059082 + ], + [ + "▁Perform", + -12.755821228027344 + ], + [ + "shift", + -12.75583267211914 + ], + [ + "recognizing", + -12.755873680114746 + ], + [ + "▁concise", + -12.755873680114746 + ], + [ + "▁obsessed", + -12.755873680114746 + ], + [ + "▁removable", + -12.755873680114746 + ], + [ + "▁Relax", + -12.755888938903809 + ], + [ + "delegates", + -12.75605583190918 + ], + [ + "▁expedi", + -12.756074905395508 + ], + [ + "▁Schä", + -12.756138801574707 + ], + [ + "iete", + -12.756211280822754 + ], + [ + "▁reciproc", + -12.756229400634766 + ], + [ + "▁neutr", + -12.75625228881836 + ], + [ + "lactic", + -12.756314277648926 + ], + [ + "▁Nah", + -12.756328582763672 + ], + [ + "scene", + -12.7565279006958 + ], + [ + "▁Helm", + -12.756563186645508 + ], + [ + "▁Bewerbung", + -12.756671905517578 + ], + [ + "▁Cassi", + -12.75667953491211 + ], + [ + "▁Gelegenheit", + -12.756939888000488 + ], + [ + "▁reflective", + -12.757140159606934 + ], + [ + "▁încredere", + -12.757149696350098 + ], + [ + "▁cigarettes", + -12.75717544555664 + ], + [ + "▁Zusätzlich", + -12.757295608520508 + ], + [ + "▁intercept", + -12.75731372833252 + ], + [ + "▁Finn", + -12.757468223571777 + ], + [ + "▁ignor", + -12.757661819458008 + ], + [ + "gian", + -12.75766372680664 + ], + [ + "BRA", + -12.757740020751953 + ], + [ + "leader", + -12.757957458496094 + ], + [ + "nius", + -12.757981300354004 + ], + [ + "▁skies", + -12.757987022399902 + ], + [ + "▁nunta", + -12.758023262023926 + ], + [ + "▁grec", + -12.758041381835938 + ], + [ + "arranging", + -12.75816822052002 + ], + [ + "wartet", + -12.758231163024902 + ], + [ + "▁kostet", + -12.758377075195312 + ], + [ + "▁Entre", + -12.758541107177734 + ], + [ + "Mag", + -12.758575439453125 + ], + [ + "▁radiator", + -12.758598327636719 + ], + [ + "übrigens", + -12.758689880371094 + ], + [ + "Internet", + -12.758706092834473 + ], + [ + "▁connexion", + -12.758718490600586 + ], + [ + "▁prolonged", + -12.758854866027832 + ], + [ + "▁capabil", + -12.75914192199707 + ], + [ + "▁feeder", + -12.759217262268066 + ], + [ + "Initially", + -12.759223937988281 + ], + [ + "Green", + -12.75926685333252 + ], + [ + "▁passiert", + -12.759272575378418 + ], + [ + "▁courtyard", + -12.759299278259277 + ], + [ + "▁judeţ", + -12.759320259094238 + ], + [ + "▁Coalition", + -12.759431838989258 + ], + [ + "▁atmospheric", + -12.759431838989258 + ], + [ + "▁velocity", + -12.759431838989258 + ], + [ + "▁Frühstück", + -12.759432792663574 + ], + [ + "vacancies", + -12.759438514709473 + ], + [ + "unified", + -12.759538650512695 + ], + [ + "▁Ahmed", + -12.759538650512695 + ], + [ + "poured", + -12.759550094604492 + ], + [ + "▁Mikro", + -12.75959587097168 + ], + [ + "▁Klar", + -12.759661674499512 + ], + [ + "kommt", + -12.759681701660156 + ], + [ + "seated", + -12.759744644165039 + ], + [ + "musik", + -12.75976848602295 + ], + [ + "▁stimulation", + -12.759841918945312 + ], + [ + "▁solicitat", + -12.759880065917969 + ], + [ + "▁politically", + -12.760165214538574 + ], + [ + "restoring", + -12.760322570800781 + ], + [ + "▁Rag", + -12.760435104370117 + ], + [ + "▁officielle", + -12.760468482971191 + ], + [ + "▁Annie", + -12.760479927062988 + ], + [ + "▁tourne", + -12.760634422302246 + ], + [ + "▁Joel", + -12.760642051696777 + ], + [ + "blieben", + -12.760666847229004 + ], + [ + "▁repayment", + -12.760736465454102 + ], + [ + "▁Strategi", + -12.760781288146973 + ], + [ + "▁prietenii", + -12.760804176330566 + ], + [ + "▁Montgomery", + -12.760858535766602 + ], + [ + "▁résidence", + -12.760858535766602 + ], + [ + "▁sunglasses", + -12.760858535766602 + ], + [ + "▁1956", + -12.760882377624512 + ], + [ + "MEN", + -12.76093578338623 + ], + [ + "pouvant", + -12.760997772216797 + ], + [ + "375", + -12.761061668395996 + ], + [ + "directed", + -12.761173248291016 + ], + [ + "▁grinder", + -12.76120662689209 + ], + [ + "rträge", + -12.761279106140137 + ], + [ + "▁nickel", + -12.761299133300781 + ], + [ + "▁Maintain", + -12.761313438415527 + ], + [ + "▁Holmes", + -12.761392593383789 + ], + [ + "▁obtinut", + -12.76157283782959 + ], + [ + "▁walnut", + -12.761585235595703 + ], + [ + "▁consultancy", + -12.761640548706055 + ], + [ + "cooled", + -12.761651039123535 + ], + [ + "▁Brig", + -12.761711120605469 + ], + [ + "▁Produc", + -12.761873245239258 + ], + [ + "street", + -12.76187515258789 + ], + [ + "▁Einfach", + -12.761897087097168 + ], + [ + "North", + -12.762149810791016 + ], + [ + "▁PET", + -12.76220989227295 + ], + [ + "▁Président", + -12.762288093566895 + ], + [ + "▁produsului", + -12.762457847595215 + ], + [ + "literatur", + -12.762483596801758 + ], + [ + "133", + -12.762561798095703 + ], + [ + "▁recours", + -12.762591361999512 + ], + [ + "▁verpflichtet", + -12.76264476776123 + ], + [ + "▁Wur", + -12.762733459472656 + ], + [ + "▁psiholog", + -12.762796401977539 + ], + [ + "Veg", + -12.762871742248535 + ], + [ + "▁hype", + -12.762930870056152 + ], + [ + "augmenter", + -12.762974739074707 + ], + [ + "▁Welsh", + -12.763012886047363 + ], + [ + "mounted", + -12.763158798217773 + ], + [ + "▁Wann", + -12.763425827026367 + ], + [ + "▁gezeigt", + -12.763620376586914 + ], + [ + "▁memo", + -12.763631820678711 + ], + [ + "veterinary", + -12.763717651367188 + ], + [ + "▁Olympia", + -12.763717651367188 + ], + [ + "▁handsome", + -12.763871192932129 + ], + [ + "yama", + -12.763911247253418 + ], + [ + "studio", + -12.763912200927734 + ], + [ + "sozial", + -12.764020919799805 + ], + [ + "▁reap", + -12.764104843139648 + ], + [ + "▁didactic", + -12.764111518859863 + ], + [ + "▁Cookie", + -12.764126777648926 + ], + [ + "▁cooper", + -12.764230728149414 + ], + [ + "▁discern", + -12.76441478729248 + ], + [ + "▁Ubuntu", + -12.764433860778809 + ], + [ + "domain", + -12.76443862915039 + ], + [ + "▁plasa", + -12.764460563659668 + ], + [ + "hong", + -12.764585494995117 + ], + [ + "▁Freiheit", + -12.764662742614746 + ], + [ + "▁Gateway", + -12.764678001403809 + ], + [ + "▁poke", + -12.764796257019043 + ], + [ + "▁niedrig", + -12.76484203338623 + ], + [ + "▁corrected", + -12.764899253845215 + ], + [ + "▁predator", + -12.76490306854248 + ], + [ + "QA", + -12.76507568359375 + ], + [ + "Physio", + -12.765101432800293 + ], + [ + "MAS", + -12.765108108520508 + ], + [ + "▁sanctuary", + -12.765151023864746 + ], + [ + "▁aferent", + -12.76523494720459 + ], + [ + "▁perdre", + -12.765268325805664 + ], + [ + "▁recherch", + -12.765397071838379 + ], + [ + "ready", + -12.76559829711914 + ], + [ + "without", + -12.76560115814209 + ], + [ + "▁locuitori", + -12.765628814697266 + ], + [ + "▁Memo", + -12.765636444091797 + ], + [ + "▁Laden", + -12.765646934509277 + ], + [ + "danken", + -12.76577377319336 + ], + [ + "▁CNC", + -12.765861511230469 + ], + [ + "▁jealous", + -12.765881538391113 + ], + [ + "▁Background", + -12.765951156616211 + ], + [ + "▁Marx", + -12.765999794006348 + ], + [ + "▁Heli", + -12.766039848327637 + ], + [ + "▁osteo", + -12.766057968139648 + ], + [ + "▁rassembl", + -12.766162872314453 + ], + [ + "▁altceva", + -12.766226768493652 + ], + [ + "▁beschäftigt", + -12.766226768493652 + ], + [ + "▁accru", + -12.766266822814941 + ], + [ + "üft", + -12.766273498535156 + ], + [ + "▁sprout", + -12.766288757324219 + ], + [ + "endorf", + -12.76647663116455 + ], + [ + "▁specialitate", + -12.766483306884766 + ], + [ + "éanmoins", + -12.766586303710938 + ], + [ + "▁poign", + -12.766663551330566 + ], + [ + "▁mânca", + -12.766668319702148 + ], + [ + "▁stretched", + -12.766752243041992 + ], + [ + "fensiv", + -12.76677131652832 + ], + [ + "▁Auction", + -12.76683235168457 + ], + [ + "hints", + -12.766944885253906 + ], + [ + "▁typo", + -12.766983032226562 + ], + [ + "▁Rare", + -12.767003059387207 + ], + [ + "▁interruption", + -12.767043113708496 + ], + [ + "▁Mean", + -12.76709270477295 + ], + [ + "privileged", + -12.767108917236328 + ], + [ + "▁purtat", + -12.767129898071289 + ], + [ + "studie", + -12.767229080200195 + ], + [ + "offres", + -12.767248153686523 + ], + [ + "▁flap", + -12.76729679107666 + ], + [ + "▁rhetoric", + -12.767304420471191 + ], + [ + "▁snapshot", + -12.767325401306152 + ], + [ + "▁Conservative", + -12.767367362976074 + ], + [ + "▁taie", + -12.767416954040527 + ], + [ + "Game", + -12.767499923706055 + ], + [ + "▁naissance", + -12.767663955688477 + ], + [ + "Prof", + -12.767704963684082 + ], + [ + "qualified", + -12.767745971679688 + ], + [ + "▁suppression", + -12.767749786376953 + ], + [ + "▁răspunde", + -12.767765045166016 + ], + [ + "▁1/3", + -12.767803192138672 + ], + [ + "▁lieben", + -12.767858505249023 + ], + [ + "ù", + -12.767898559570312 + ], + [ + "america", + -12.767955780029297 + ], + [ + "▁Mum", + -12.768182754516602 + ], + [ + "▁Researchers", + -12.76827335357666 + ], + [ + "quip", + -12.768308639526367 + ], + [ + "▁fenomen", + -12.768383026123047 + ], + [ + "stools", + -12.768387794494629 + ], + [ + "▁commodity", + -12.768742561340332 + ], + [ + "▁rejuvenat", + -12.768745422363281 + ], + [ + "▁ausgezeichnet", + -12.76876449584961 + ], + [ + "▁păcate", + -12.768784523010254 + ], + [ + "3.6", + -12.76882553100586 + ], + [ + "zwei", + -12.768904685974121 + ], + [ + "accounted", + -12.768982887268066 + ], + [ + "▁Cycle", + -12.76900863647461 + ], + [ + "politischen", + -12.769031524658203 + ], + [ + "Normally", + -12.76904010772705 + ], + [ + "▁transcend", + -12.769158363342285 + ], + [ + "▁Classes", + -12.769268989562988 + ], + [ + "▁vene", + -12.769363403320312 + ], + [ + "protein", + -12.76942253112793 + ], + [ + "formulaire", + -12.76944351196289 + ], + [ + "▁endurance", + -12.769463539123535 + ], + [ + "▁Census", + -12.769464492797852 + ], + [ + "▁census", + -12.7694673538208 + ], + [ + "▁conțin", + -12.76952838897705 + ], + [ + "▁multinational", + -12.769563674926758 + ], + [ + "▁consomm", + -12.769572257995605 + ], + [ + "▁Porter", + -12.769762992858887 + ], + [ + "▁marvel", + -12.769777297973633 + ], + [ + "▁probable", + -12.769824028015137 + ], + [ + "dependable", + -12.770044326782227 + ], + [ + "▁crore", + -12.77015495300293 + ], + [ + "▁6:30", + -12.770224571228027 + ], + [ + "▁Bradley", + -12.77032470703125 + ], + [ + "molecule", + -12.770400047302246 + ], + [ + "inclusiv", + -12.770516395568848 + ], + [ + "▁privilégi", + -12.770543098449707 + ], + [ + "▁cerere", + -12.770611763000488 + ], + [ + "ouille", + -12.770696640014648 + ], + [ + "▁âgé", + -12.770787239074707 + ], + [ + "▁ghid", + -12.770801544189453 + ], + [ + "▁Controller", + -12.77082347869873 + ], + [ + "▁incredere", + -12.770988464355469 + ], + [ + "▁hostel", + -12.771015167236328 + ], + [ + "wissenschaft", + -12.771121978759766 + ], + [ + "▁cooperate", + -12.771183967590332 + ], + [ + "ки", + -12.771202087402344 + ], + [ + "▁Küchen", + -12.771384239196777 + ], + [ + "▁BIO", + -12.771406173706055 + ], + [ + "▁deliveries", + -12.771458625793457 + ], + [ + "▁urmări", + -12.771553993225098 + ], + [ + "▁überzeugen", + -12.771631240844727 + ], + [ + "Roofing", + -12.771703720092773 + ], + [ + "▁Adel", + -12.771737098693848 + ], + [ + "▁navy", + -12.77181339263916 + ], + [ + "▁cider", + -12.772101402282715 + ], + [ + "▁dulce", + -12.772109985351562 + ], + [ + "▁inspirat", + -12.772163391113281 + ], + [ + "allez", + -12.772164344787598 + ], + [ + "HH", + -12.77221965789795 + ], + [ + "▁Danish", + -12.7722749710083 + ], + [ + "CDC", + -12.7722806930542 + ], + [ + "▁Milch", + -12.772303581237793 + ], + [ + "▁Hockey", + -12.772346496582031 + ], + [ + "▁Smooth", + -12.772347450256348 + ], + [ + "▁FIFA", + -12.772361755371094 + ], + [ + "▁Devon", + -12.772364616394043 + ], + [ + "chung", + -12.772379875183105 + ], + [ + "▁villain", + -12.772420883178711 + ], + [ + "▁musée", + -12.772441864013672 + ], + [ + "tiennent", + -12.772557258605957 + ], + [ + "chou", + -12.772732734680176 + ], + [ + "kopf", + -12.772809982299805 + ], + [ + "printed", + -12.77281379699707 + ], + [ + "▁Depression", + -12.773076057434082 + ], + [ + "▁opioid", + -12.773082733154297 + ], + [ + "nomie", + -12.773098945617676 + ], + [ + "▁footwear", + -12.773211479187012 + ], + [ + "▁Cause", + -12.773260116577148 + ], + [ + "SEL", + -12.773515701293945 + ], + [ + "▁Roller", + -12.773523330688477 + ], + [ + "▁einzigartige", + -12.773589134216309 + ], + [ + "desea", + -12.773597717285156 + ], + [ + "▁nasty", + -12.773792266845703 + ], + [ + "formulated", + -12.773877143859863 + ], + [ + "breaker", + -12.773958206176758 + ], + [ + "▁goodies", + -12.773961067199707 + ], + [ + "▁sandy", + -12.774189949035645 + ], + [ + "method", + -12.77425479888916 + ], + [ + "▁Maple", + -12.774308204650879 + ], + [ + "gefragt", + -12.774435997009277 + ], + [ + "▁decreasing", + -12.774515151977539 + ], + [ + "ceşti", + -12.774555206298828 + ], + [ + "▁DUI", + -12.774563789367676 + ], + [ + "▁pierdere", + -12.774574279785156 + ], + [ + "▁brushes", + -12.77466869354248 + ], + [ + "▁Fully", + -12.774712562561035 + ], + [ + "filtered", + -12.774789810180664 + ], + [ + "ruins", + -12.774988174438477 + ], + [ + "Save", + -12.775114059448242 + ], + [ + "sweeping", + -12.7752046585083 + ], + [ + "PCR", + -12.775334358215332 + ], + [ + "▁folded", + -12.775337219238281 + ], + [ + "▁urca", + -12.775444030761719 + ], + [ + "▁clic", + -12.775484085083008 + ], + [ + "▁spécialiste", + -12.775614738464355 + ], + [ + "▁durfte", + -12.775686264038086 + ], + [ + "tuși", + -12.775871276855469 + ], + [ + "▁diligent", + -12.77596378326416 + ], + [ + "▁verdict", + -12.775972366333008 + ], + [ + "▁chaise", + -12.776039123535156 + ], + [ + "▁cleanup", + -12.776068687438965 + ], + [ + "▁Guitar", + -12.776076316833496 + ], + [ + "▁Dip", + -12.776142120361328 + ], + [ + "vru", + -12.776260375976562 + ], + [ + "▁cogn", + -12.776373863220215 + ], + [ + "something", + -12.776529312133789 + ], + [ + "hidr", + -12.776535034179688 + ], + [ + "ENG", + -12.776607513427734 + ], + [ + "Paul", + -12.776679039001465 + ], + [ + "▁reboot", + -12.776687622070312 + ], + [ + "savvy", + -12.776688575744629 + ], + [ + "▁Macron", + -12.776710510253906 + ], + [ + "▁Kino", + -12.77682876586914 + ], + [ + "232", + -12.776832580566406 + ], + [ + "▁gravit", + -12.776861190795898 + ], + [ + "ANC", + -12.776883125305176 + ], + [ + "▁petrecut", + -12.776944160461426 + ], + [ + "▁signage", + -12.776959419250488 + ], + [ + "odia", + -12.776987075805664 + ], + [ + "▁GRA", + -12.77712631225586 + ], + [ + "▁alegeril", + -12.777129173278809 + ], + [ + "leger", + -12.77717399597168 + ], + [ + "▁medicamente", + -12.777174949645996 + ], + [ + "pentru", + -12.777249336242676 + ], + [ + "▁collectif", + -12.777251243591309 + ], + [ + "▁Sohn", + -12.777298927307129 + ], + [ + "205", + -12.777313232421875 + ], + [ + "▁Reach", + -12.77733039855957 + ], + [ + "RAM", + -12.777400970458984 + ], + [ + "3.4", + -12.777405738830566 + ], + [ + "▁bleach", + -12.777409553527832 + ], + [ + "▁diligence", + -12.777414321899414 + ], + [ + "▁MORE", + -12.777440071105957 + ], + [ + "▁Critical", + -12.777471542358398 + ], + [ + "▁singură", + -12.77767276763916 + ], + [ + "▁adversar", + -12.777791023254395 + ], + [ + "▁Buzz", + -12.7778902053833 + ], + [ + "▁demeure", + -12.778063774108887 + ], + [ + "▁nephew", + -12.778141021728516 + ], + [ + "▁Boom", + -12.77817440032959 + ], + [ + "▁shining", + -12.77819538116455 + ], + [ + "▁sponge", + -12.778206825256348 + ], + [ + "liest", + -12.77841854095459 + ], + [ + "rseits", + -12.778690338134766 + ], + [ + "▁capita", + -12.778823852539062 + ], + [ + "esthesia", + -12.778867721557617 + ], + [ + "500,000", + -12.77895736694336 + ], + [ + "▁Pressure", + -12.77898120880127 + ], + [ + "ifikation", + -12.779021263122559 + ], + [ + "▁acceleration", + -12.779181480407715 + ], + [ + "▁Pfarr", + -12.779282569885254 + ], + [ + "▁imobil", + -12.779304504394531 + ], + [ + "▁pericol", + -12.779326438903809 + ], + [ + "▁flock", + -12.779454231262207 + ], + [ + "▁Scholar", + -12.77962875366211 + ], + [ + "▁Fusion", + -12.779630661010742 + ], + [ + "▁revolve", + -12.779637336730957 + ], + [ + "Plugin", + -12.779664993286133 + ], + [ + "▁Ruf", + -12.779691696166992 + ], + [ + "▁tehnici", + -12.780024528503418 + ], + [ + "voice", + -12.78005313873291 + ], + [ + "▁anomal", + -12.780203819274902 + ], + [ + "▁gefallen", + -12.780252456665039 + ], + [ + "▁Wyoming", + -12.780322074890137 + ], + [ + "▁9:00", + -12.780354499816895 + ], + [ + "packed", + -12.780461311340332 + ], + [ + "▁Zimbabwe", + -12.780686378479004 + ], + [ + "▁glücklich", + -12.780766487121582 + ], + [ + "ethanol", + -12.78077220916748 + ], + [ + "▁effektiv", + -12.780936241149902 + ], + [ + "▁saptamani", + -12.781049728393555 + ], + [ + "▁umfasst", + -12.781052589416504 + ], + [ + "▁Werbung", + -12.781103134155273 + ], + [ + "▁undermine", + -12.781164169311523 + ], + [ + "▁Lego", + -12.781322479248047 + ], + [ + "▁Rac", + -12.781323432922363 + ], + [ + "educating", + -12.781441688537598 + ], + [ + "leiten", + -12.781451225280762 + ], + [ + "derma", + -12.781518936157227 + ], + [ + "hängen", + -12.781597137451172 + ], + [ + "Lumin", + -12.781846046447754 + ], + [ + "▁PNL", + -12.781913757324219 + ], + [ + "▁volcano", + -12.782064437866211 + ], + [ + "▁Anfrage", + -12.782066345214844 + ], + [ + "▁resp", + -12.782124519348145 + ], + [ + "leigh", + -12.78217601776123 + ], + [ + "▁addict", + -12.782176971435547 + ], + [ + "WORK", + -12.782312393188477 + ], + [ + "▁FY", + -12.782322883605957 + ], + [ + "▁maneuver", + -12.782513618469238 + ], + [ + "flächen", + -12.782525062561035 + ], + [ + "zweck", + -12.782527923583984 + ], + [ + "tolerant", + -12.782609939575195 + ], + [ + "Davidson", + -12.78272533416748 + ], + [ + "▁meteor", + -12.782849311828613 + ], + [ + "▁Stephanie", + -12.78291130065918 + ], + [ + "▁plafon", + -12.783126831054688 + ], + [ + "technischen", + -12.78316879272461 + ], + [ + "unused", + -12.783193588256836 + ], + [ + "▁voulai", + -12.783228874206543 + ], + [ + "▁fehlt", + -12.783447265625 + ], + [ + "möglichen", + -12.783955574035645 + ], + [ + "▁Twenty", + -12.783968925476074 + ], + [ + "composing", + -12.783979415893555 + ], + [ + "▁rebate", + -12.78400707244873 + ], + [ + "Italie", + -12.784036636352539 + ], + [ + "▁goodbye", + -12.784058570861816 + ], + [ + "wild", + -12.784061431884766 + ], + [ + "▁lancé", + -12.784077644348145 + ], + [ + "▁wunderschöne", + -12.784083366394043 + ], + [ + "▁Frontier", + -12.784139633178711 + ], + [ + "▁murit", + -12.784313201904297 + ], + [ + "▁scump", + -12.78464412689209 + ], + [ + "OVER", + -12.784682273864746 + ], + [ + "▁meme", + -12.784709930419922 + ], + [ + "Super", + -12.784733772277832 + ], + [ + "▁Crack", + -12.784849166870117 + ], + [ + "rennen", + -12.784907341003418 + ], + [ + "▁interessiert", + -12.784941673278809 + ], + [ + "▁relaţi", + -12.784942626953125 + ], + [ + "▁factories", + -12.784975051879883 + ], + [ + "▁[...]", + -12.785066604614258 + ], + [ + "▁vizite", + -12.785075187683105 + ], + [ + "▁erfolgen", + -12.785199165344238 + ], + [ + "▁Hosting", + -12.785244941711426 + ], + [ + "▁localitate", + -12.78528118133545 + ], + [ + "▁chasse", + -12.785415649414062 + ], + [ + "▁Meadow", + -12.785465240478516 + ], + [ + "▁expansive", + -12.785513877868652 + ], + [ + "hov", + -12.785874366760254 + ], + [ + "Phil", + -12.785978317260742 + ], + [ + "illian", + -12.786107063293457 + ], + [ + "▁manipulate", + -12.786107063293457 + ], + [ + "informationen", + -12.786130905151367 + ], + [ + "▁profesionist", + -12.786162376403809 + ], + [ + "risen", + -12.786252975463867 + ], + [ + "frem", + -12.786300659179688 + ], + [ + "Act", + -12.78640079498291 + ], + [ + "supervised", + -12.786491394042969 + ], + [ + "▁capul", + -12.786506652832031 + ], + [ + "▁Craiova", + -12.786528587341309 + ], + [ + "▁victoire", + -12.786528587341309 + ], + [ + "▁guitarist", + -12.786680221557617 + ], + [ + "▁identific", + -12.786684036254883 + ], + [ + "democrat", + -12.786864280700684 + ], + [ + "Authentic", + -12.786894798278809 + ], + [ + "▁Autumn", + -12.786894798278809 + ], + [ + "▁bodi", + -12.787014961242676 + ], + [ + "April", + -12.787044525146484 + ], + [ + "▁Burger", + -12.787049293518066 + ], + [ + "▁BEST", + -12.787490844726562 + ], + [ + "▁torrent", + -12.78749942779541 + ], + [ + "UV", + -12.787567138671875 + ], + [ + "▁renal", + -12.787676811218262 + ], + [ + "founded", + -12.787693977355957 + ], + [ + "203", + -12.787956237792969 + ], + [ + "▁Flooring", + -12.78799057006836 + ], + [ + "▁kilogram", + -12.787994384765625 + ], + [ + "▁garantiert", + -12.788139343261719 + ], + [ + "▁fulfil", + -12.788204193115234 + ], + [ + "303", + -12.788330078125 + ], + [ + "▁schafft", + -12.788363456726074 + ], + [ + "▁butterfly", + -12.788365364074707 + ], + [ + "▁Stuart", + -12.788382530212402 + ], + [ + "▁Versuch", + -12.788392066955566 + ], + [ + "▁liking", + -12.788412094116211 + ], + [ + "▁chercher", + -12.788508415222168 + ], + [ + "▁wrapping", + -12.788527488708496 + ], + [ + "schrieb", + -12.788652420043945 + ], + [ + "▁abuz", + -12.788718223571777 + ], + [ + "▁maîtrise", + -12.788772583007812 + ], + [ + "EQ", + -12.788887977600098 + ], + [ + "▁Erinnerung", + -12.789095878601074 + ], + [ + "▁bridal", + -12.78909969329834 + ], + [ + "Rock", + -12.789118766784668 + ], + [ + "▁copied", + -12.789193153381348 + ], + [ + "Met", + -12.789206504821777 + ], + [ + "▁incep", + -12.789233207702637 + ], + [ + "▁sinus", + -12.789336204528809 + ], + [ + "▁Felix", + -12.789831161499023 + ], + [ + "▁Deluxe", + -12.789837837219238 + ], + [ + "▁GPU", + -12.789848327636719 + ], + [ + "Sie", + -12.790164947509766 + ], + [ + "lowering", + -12.790262222290039 + ], + [ + "▁Trotz", + -12.790282249450684 + ], + [ + "333", + -12.790417671203613 + ], + [ + "withstand", + -12.79055118560791 + ], + [ + "▁Aufenthalt", + -12.790566444396973 + ], + [ + "▁unhealthy", + -12.790567398071289 + ], + [ + "▁urbain", + -12.790573120117188 + ], + [ + "▁LOL", + -12.790702819824219 + ], + [ + "▁Ballet", + -12.79074478149414 + ], + [ + "▁Decoration", + -12.79083251953125 + ], + [ + "weist", + -12.790839195251465 + ], + [ + "▁Residence", + -12.790932655334473 + ], + [ + "▁Leeds", + -12.791055679321289 + ], + [ + "▁Genau", + -12.791084289550781 + ], + [ + "Imagin", + -12.791136741638184 + ], + [ + "▁suspicion", + -12.791300773620605 + ], + [ + "▁pêche", + -12.791301727294922 + ], + [ + "▁Soccer", + -12.791306495666504 + ], + [ + "▁protectie", + -12.791553497314453 + ], + [ + "ATS", + -12.791796684265137 + ], + [ + "stocked", + -12.791838645935059 + ], + [ + "▁gymnas", + -12.79184627532959 + ], + [ + "ASP", + -12.792027473449707 + ], + [ + "▁Independence", + -12.792037010192871 + ], + [ + "▁Wizard", + -12.792037963867188 + ], + [ + "▁nitrogen", + -12.79204273223877 + ], + [ + "amerikanische", + -12.7920503616333 + ], + [ + "▁Indianapolis", + -12.79205322265625 + ], + [ + "catches", + -12.792131423950195 + ], + [ + "stria", + -12.792275428771973 + ], + [ + "schätze", + -12.79235553741455 + ], + [ + "▁Räume", + -12.792387962341309 + ], + [ + "▁Interesting", + -12.792403221130371 + ], + [ + "bürger", + -12.79240608215332 + ], + [ + "sweet", + -12.792410850524902 + ], + [ + "Identify", + -12.792632102966309 + ], + [ + "EEN", + -12.792651176452637 + ], + [ + "▁£3", + -12.792654991149902 + ], + [ + "interacting", + -12.7926664352417 + ], + [ + "NYSE", + -12.792762756347656 + ], + [ + "▁Dynamics", + -12.79277515411377 + ], + [ + "▁modificări", + -12.792777061462402 + ], + [ + "▁Kumar", + -12.792936325073242 + ], + [ + "chette", + -12.79313850402832 + ], + [ + "▁presiune", + -12.79316234588623 + ], + [ + "arni", + -12.793164253234863 + ], + [ + "▁vielfältig", + -12.793221473693848 + ], + [ + "KC", + -12.793259620666504 + ], + [ + "▁Cuisine", + -12.793513298034668 + ], + [ + "▁australia", + -12.793885231018066 + ], + [ + "▁încet", + -12.794026374816895 + ], + [ + "▁caracteristic", + -12.794257164001465 + ], + [ + "▁cookbook", + -12.794501304626465 + ], + [ + "▁douleur", + -12.79453182220459 + ], + [ + "AVI", + -12.794593811035156 + ], + [ + "artikel", + -12.794740676879883 + ], + [ + "feta", + -12.79493522644043 + ], + [ + "▁fréquent", + -12.794987678527832 + ], + [ + "▁Prophet", + -12.795051574707031 + ], + [ + "▁dépense", + -12.795202255249023 + ], + [ + "▁Smile", + -12.795235633850098 + ], + [ + "▁lawmakers", + -12.79525375366211 + ], + [ + "▁Kollegen", + -12.795391082763672 + ], + [ + "▁Pir", + -12.79555606842041 + ], + [ + "serez", + -12.79561710357666 + ], + [ + "▁consumator", + -12.795656204223633 + ], + [ + "▁playlist", + -12.795730590820312 + ], + [ + "▁envisage", + -12.795733451843262 + ], + [ + "swept", + -12.795780181884766 + ], + [ + "▁Grim", + -12.795825004577637 + ], + [ + "▁widow", + -12.795836448669434 + ], + [ + "authorised", + -12.795886039733887 + ], + [ + "▁(...)", + -12.796035766601562 + ], + [ + "▁photographic", + -12.796060562133789 + ], + [ + "▁libertate", + -12.796173095703125 + ], + [ + "▁principalement", + -12.796201705932617 + ], + [ + "umming", + -12.796260833740234 + ], + [ + "▁Montréal", + -12.796465873718262 + ], + [ + "▁compilation", + -12.796468734741211 + ], + [ + "▁erlaubt", + -12.79647159576416 + ], + [ + "▁biblical", + -12.796518325805664 + ], + [ + "volume", + -12.796561241149902 + ], + [ + "5-7", + -12.796809196472168 + ], + [ + "▁Versch", + -12.79689884185791 + ], + [ + "▁Shark", + -12.796957015991211 + ], + [ + "ologne", + -12.796969413757324 + ], + [ + "4.4", + -12.797086715698242 + ], + [ + "decken", + -12.797112464904785 + ], + [ + "▁frequencies", + -12.797205924987793 + ], + [ + "▁inferior", + -12.79720687866211 + ], + [ + "visible", + -12.797321319580078 + ], + [ + "▁educator", + -12.797394752502441 + ], + [ + "▁soziale", + -12.797420501708984 + ], + [ + "▁billet", + -12.797523498535156 + ], + [ + "folosirea", + -12.797574996948242 + ], + [ + "▁aufgenommen", + -12.797590255737305 + ], + [ + "▁Thread", + -12.797649383544922 + ], + [ + "registering", + -12.797694206237793 + ], + [ + "▁Loop", + -12.797747611999512 + ], + [ + "innovation", + -12.79783821105957 + ], + [ + "▁elimination", + -12.797857284545898 + ], + [ + "136", + -12.797883987426758 + ], + [ + "▁fluctu", + -12.797892570495605 + ], + [ + "▁Mercury", + -12.79794692993164 + ], + [ + "▁bouche", + -12.797955513000488 + ], + [ + "▁hurdle", + -12.7979736328125 + ], + [ + "▁Bennett", + -12.798040390014648 + ], + [ + "STI", + -12.79818344116211 + ], + [ + "▁théâtre", + -12.798316955566406 + ], + [ + "▁confortable", + -12.798359870910645 + ], + [ + "▁Automobil", + -12.79838752746582 + ], + [ + "▁Donna", + -12.798399925231934 + ], + [ + "▁foyer", + -12.79841136932373 + ], + [ + "▁hollow", + -12.798465728759766 + ], + [ + "▁règlement", + -12.79861068725586 + ], + [ + "effi", + -12.798616409301758 + ], + [ + "▁sediment", + -12.79869270324707 + ], + [ + "▁Mä", + -12.798774719238281 + ], + [ + "▁faint", + -12.798833847045898 + ], + [ + "feti", + -12.79890251159668 + ], + [ + "▁Concord", + -12.798959732055664 + ], + [ + "▁Ladies", + -12.798990249633789 + ], + [ + "▁pregatit", + -12.799052238464355 + ], + [ + "▁Ensemble", + -12.79905891418457 + ], + [ + "▁Ingredient", + -12.79905891418457 + ], + [ + "▁Respond", + -12.79914379119873 + ], + [ + "▁impaired", + -12.799356460571289 + ], + [ + "▁Feedback", + -12.799430847167969 + ], + [ + "▁ultrasound", + -12.799461364746094 + ], + [ + "▁Guvernului", + -12.799617767333984 + ], + [ + "▁Unterricht", + -12.799654006958008 + ], + [ + "▁prosecut", + -12.799662590026855 + ], + [ + "spend", + -12.799732208251953 + ], + [ + "▁capitol", + -12.799800872802734 + ], + [ + "USD", + -12.799822807312012 + ], + [ + "observing", + -12.799947738647461 + ], + [ + "▁effortlessly", + -12.800045013427734 + ], + [ + "▁Setting", + -12.80010986328125 + ], + [ + "▁spontaneous", + -12.80020809173584 + ], + [ + "▁LEGO", + -12.800238609313965 + ], + [ + "initiative", + -12.800299644470215 + ], + [ + "▁Sak", + -12.800299644470215 + ], + [ + "Interestingly", + -12.800326347351074 + ], + [ + "▁Yale", + -12.800352096557617 + ], + [ + "▁größer", + -12.80038070678711 + ], + [ + "RIC", + -12.800406455993652 + ], + [ + "▁distracted", + -12.800436973571777 + ], + [ + "drafted", + -12.800484657287598 + ], + [ + "▁Brenda", + -12.800522804260254 + ], + [ + "monopol", + -12.800551414489746 + ], + [ + "städt", + -12.800580024719238 + ], + [ + "▁altar", + -12.80058765411377 + ], + [ + "▁Hannover", + -12.800596237182617 + ], + [ + "▁Spiritual", + -12.800702095031738 + ], + [ + "▁thriller", + -12.800747871398926 + ], + [ + "▁Schneider", + -12.800760269165039 + ], + [ + "▁accumulate", + -12.800817489624023 + ], + [ + "▁mediului", + -12.800822257995605 + ], + [ + "▁Mathematics", + -12.800914764404297 + ], + [ + "▁paradox", + -12.800986289978027 + ], + [ + "▁Sham", + -12.801230430603027 + ], + [ + "▁SITE", + -12.801375389099121 + ], + [ + "▁echipei", + -12.801508903503418 + ], + [ + "▁staircase", + -12.801660537719727 + ], + [ + "▁întrebări", + -12.801705360412598 + ], + [ + "Commerce", + -12.802020072937012 + ], + [ + "▁selfie", + -12.802353858947754 + ], + [ + "▁Pocket", + -12.802404403686523 + ], + [ + "▁niemand", + -12.80263614654541 + ], + [ + "Tool", + -12.802678108215332 + ], + [ + "igma", + -12.802695274353027 + ], + [ + "utilisant", + -12.802915573120117 + ], + [ + "▁negatively", + -12.80295181274414 + ], + [ + "Secondly", + -12.802955627441406 + ], + [ + "▁ROI", + -12.8030366897583 + ], + [ + "Arch", + -12.803121566772461 + ], + [ + "▁continuity", + -12.80318546295166 + ], + [ + "▁Prayer", + -12.803235054016113 + ], + [ + "inverse", + -12.803241729736328 + ], + [ + "▁Himmel", + -12.803336143493652 + ], + [ + "prinz", + -12.803478240966797 + ], + [ + "wichtigen", + -12.803496360778809 + ], + [ + "étage", + -12.803522109985352 + ], + [ + "summe", + -12.8036527633667 + ], + [ + "▁Zeitung", + -12.80366039276123 + ], + [ + "▁realization", + -12.803897857666016 + ], + [ + "▁influent", + -12.804291725158691 + ], + [ + "▁Valid", + -12.804357528686523 + ], + [ + "▁publicity", + -12.804439544677734 + ], + [ + "▁vertreten", + -12.804447174072266 + ], + [ + "▁Shoes", + -12.804609298706055 + ], + [ + "▁Diabetes", + -12.80463695526123 + ], + [ + "▁anticipation", + -12.804670333862305 + ], + [ + "▁Blank", + -12.8047456741333 + ], + [ + "asked", + -12.804899215698242 + ], + [ + "Power", + -12.804938316345215 + ], + [ + "arrelage", + -12.805140495300293 + ], + [ + "▁appraisal", + -12.80538272857666 + ], + [ + "▁harassment", + -12.805542945861816 + ], + [ + "Anzeige", + -12.805682182312012 + ], + [ + "liners", + -12.80584716796875 + ], + [ + "Firstly", + -12.805851936340332 + ], + [ + "transferring", + -12.805951118469238 + ], + [ + "▁Diane", + -12.806012153625488 + ], + [ + "▁1/2\"", + -12.80606746673584 + ], + [ + "▁adrenal", + -12.806131362915039 + ], + [ + "▁Prague", + -12.806208610534668 + ], + [ + "insertion", + -12.80635929107666 + ], + [ + "▁Fahrer", + -12.806465148925781 + ], + [ + "▁divin", + -12.806585311889648 + ], + [ + "▁douche", + -12.80673885345459 + ], + [ + "▁meticulous", + -12.806879043579102 + ], + [ + "▁IEEE", + -12.806981086730957 + ], + [ + "▁Rabatt", + -12.807259559631348 + ], + [ + "Runner", + -12.807342529296875 + ], + [ + "▁Leder", + -12.807429313659668 + ], + [ + "project", + -12.80745792388916 + ], + [ + "▁Split", + -12.807562828063965 + ], + [ + "Gold", + -12.807600021362305 + ], + [ + "5.00", + -12.807629585266113 + ], + [ + "iola", + -12.807655334472656 + ], + [ + "standardized", + -12.807890892028809 + ], + [ + "ordination", + -12.807984352111816 + ], + [ + "▁Egal", + -12.808158874511719 + ], + [ + "▁ruhig", + -12.808241844177246 + ], + [ + "▁judiciar", + -12.80837345123291 + ], + [ + "▁Nowadays", + -12.808374404907227 + ], + [ + "▁whistle", + -12.808374404907227 + ], + [ + "▁superhero", + -12.808379173278809 + ], + [ + "▁PowerPoint", + -12.808408737182617 + ], + [ + "flop", + -12.808420181274414 + ], + [ + "olph", + -12.808460235595703 + ], + [ + "▁pallet", + -12.808916091918945 + ], + [ + "posons", + -12.809005737304688 + ], + [ + "▁Listing", + -12.809032440185547 + ], + [ + "Tag", + -12.809075355529785 + ], + [ + "introductory", + -12.809122085571289 + ], + [ + "▁Profil", + -12.809123992919922 + ], + [ + "symmetric", + -12.809126853942871 + ], + [ + "▁aisle", + -12.809138298034668 + ], + [ + "▁ajouté", + -12.809147834777832 + ], + [ + "opathy", + -12.809149742126465 + ], + [ + "prezentate", + -12.809155464172363 + ], + [ + "▁hurry", + -12.809165000915527 + ], + [ + "Auth", + -12.809310913085938 + ], + [ + "▁Homepage", + -12.809435844421387 + ], + [ + "ashes", + -12.809489250183105 + ], + [ + "▁inklusive", + -12.809496879577637 + ], + [ + "populated", + -12.809502601623535 + ], + [ + "▁nein", + -12.809554100036621 + ], + [ + "▁syndicat", + -12.809690475463867 + ], + [ + "▁développé", + -12.809842109680176 + ], + [ + "▁Domestic", + -12.809877395629883 + ], + [ + "essay", + -12.809967994689941 + ], + [ + "Atelier", + -12.809980392456055 + ], + [ + "▁proceeding", + -12.810006141662598 + ], + [ + "▁SAS", + -12.810038566589355 + ], + [ + "task", + -12.810063362121582 + ], + [ + "▁blackjack", + -12.810114860534668 + ], + [ + "Key", + -12.810186386108398 + ], + [ + "thérapie", + -12.810247421264648 + ], + [ + "▁Cohen", + -12.810397148132324 + ], + [ + "Direct", + -12.810510635375977 + ], + [ + "▁Estimat", + -12.810517311096191 + ], + [ + "élève", + -12.810616493225098 + ], + [ + "cind", + -12.810640335083008 + ], + [ + "▁prezenț", + -12.810701370239258 + ], + [ + "▁notorious", + -12.810725212097168 + ], + [ + "climbed", + -12.810816764831543 + ], + [ + "▁flexibil", + -12.810830116271973 + ], + [ + "▁entlang", + -12.810855865478516 + ], + [ + "longed", + -12.81103515625 + ], + [ + "▁elbow", + -12.811078071594238 + ], + [ + "BH", + -12.811296463012695 + ], + [ + "▁Radu", + -12.811376571655273 + ], + [ + "▁lonely", + -12.811378479003906 + ], + [ + "ALA", + -12.811405181884766 + ], + [ + "Variante", + -12.811639785766602 + ], + [ + "▁Influen", + -12.81169319152832 + ], + [ + "▁Budapest", + -12.811747550964355 + ], + [ + "▁Gemüse", + -12.811747550964355 + ], + [ + "▁continental", + -12.811750411987305 + ], + [ + "ippo", + -12.811771392822266 + ], + [ + "▁Affordable", + -12.81212329864502 + ], + [ + "▁niece", + -12.812187194824219 + ], + [ + "oscopic", + -12.812190055847168 + ], + [ + "▁Grid", + -12.81222152709961 + ], + [ + "sliced", + -12.812270164489746 + ], + [ + "▁voici", + -12.812294006347656 + ], + [ + "aveam", + -12.812471389770508 + ], + [ + "▁Lars", + -12.812612533569336 + ], + [ + "APA", + -12.812657356262207 + ], + [ + "▁particulière", + -12.812858581542969 + ], + [ + "sorb", + -12.8128662109375 + ], + [ + "▁1955", + -12.812887191772461 + ], + [ + "▁solutii", + -12.812942504882812 + ], + [ + "loch", + -12.812960624694824 + ], + [ + "▁summon", + -12.813212394714355 + ], + [ + "wurf", + -12.813271522521973 + ], + [ + "▁protecți", + -12.813288688659668 + ], + [ + "2001", + -12.813499450683594 + ], + [ + "▁sophomore", + -12.813627243041992 + ], + [ + "▁Schwerpunkt", + -12.813628196716309 + ], + [ + "▁diplomat", + -12.813687324523926 + ], + [ + "▁artistique", + -12.813726425170898 + ], + [ + "▁accueille", + -12.813739776611328 + ], + [ + "Disp", + -12.813746452331543 + ], + [ + "inherited", + -12.813764572143555 + ], + [ + "▁COMP", + -12.813889503479004 + ], + [ + "▁envoyé", + -12.814046859741211 + ], + [ + "▁tuning", + -12.814056396484375 + ], + [ + "▁entspricht", + -12.814062118530273 + ], + [ + "▁exerc", + -12.81406307220459 + ], + [ + "▁accessoires", + -12.8140869140625 + ], + [ + "▁Automat", + -12.814348220825195 + ], + [ + "importance", + -12.814408302307129 + ], + [ + "▁travellers", + -12.814432144165039 + ], + [ + "seiten", + -12.814474105834961 + ], + [ + "▁slider", + -12.814481735229492 + ], + [ + "effect", + -12.814591407775879 + ], + [ + "▁siding", + -12.814669609069824 + ], + [ + "▁Crit", + -12.814780235290527 + ], + [ + "▁sportif", + -12.814827919006348 + ], + [ + "▁Accessories", + -12.81513500213623 + ], + [ + "▁Anteil", + -12.815184593200684 + ], + [ + "▁limbi", + -12.81519603729248 + ], + [ + "▁vendre", + -12.815269470214844 + ], + [ + "borg", + -12.815435409545898 + ], + [ + "▁Deposit", + -12.815508842468262 + ], + [ + "▁Hö", + -12.815717697143555 + ], + [ + "employé", + -12.8157320022583 + ], + [ + "▁Bangalore", + -12.815887451171875 + ], + [ + "▁itinerary", + -12.815888404846191 + ], + [ + "▁Deliver", + -12.816008567810059 + ], + [ + "dik", + -12.816024780273438 + ], + [ + "▁advent", + -12.816100120544434 + ], + [ + "▁Turk", + -12.81614875793457 + ], + [ + "▁Nico", + -12.816154479980469 + ], + [ + "organizarea", + -12.816161155700684 + ], + [ + "▁remport", + -12.816166877746582 + ], + [ + "▁tribunal", + -12.816266059875488 + ], + [ + "▁Rusia", + -12.8162841796875 + ], + [ + "glazed", + -12.816339492797852 + ], + [ + "▁destiné", + -12.816502571105957 + ], + [ + "304", + -12.816533088684082 + ], + [ + "album", + -12.816650390625 + ], + [ + "▁junction", + -12.81665325164795 + ], + [ + "▁Fleet", + -12.816664695739746 + ], + [ + "venant", + -12.81667423248291 + ], + [ + "▁buddy", + -12.816694259643555 + ], + [ + "▁neglected", + -12.816694259643555 + ], + [ + "▁Mask", + -12.816783905029297 + ], + [ + "▁testament", + -12.816844940185547 + ], + [ + "▁Basil", + -12.81690788269043 + ], + [ + "masă", + -12.816922187805176 + ], + [ + "▁racist", + -12.81692886352539 + ], + [ + "640", + -12.816990852355957 + ], + [ + "▁Standing", + -12.817028045654297 + ], + [ + "▁MUST", + -12.817266464233398 + ], + [ + "situation", + -12.817327499389648 + ], + [ + "▁informiert", + -12.817337036132812 + ], + [ + "ABA", + -12.817353248596191 + ], + [ + "▁Timothy", + -12.817397117614746 + ], + [ + "▁generosity", + -12.817397117614746 + ], + [ + "▁erscheint", + -12.817402839660645 + ], + [ + "▁verarbeitet", + -12.81740665435791 + ], + [ + "▁burial", + -12.817444801330566 + ], + [ + "▁limestone", + -12.817458152770996 + ], + [ + "▁1953", + -12.817480087280273 + ], + [ + "▁Lucr", + -12.817506790161133 + ], + [ + "small", + -12.817633628845215 + ], + [ + "aveau", + -12.81763744354248 + ], + [ + "versiune", + -12.81773567199707 + ], + [ + "▁inkl", + -12.81775951385498 + ], + [ + "▁Minneapolis", + -12.81777572631836 + ], + [ + "Spiel", + -12.81781005859375 + ], + [ + "▁encode", + -12.817895889282227 + ], + [ + "▁beforehand", + -12.818021774291992 + ], + [ + "▁Vital", + -12.818086624145508 + ], + [ + "▁socialist", + -12.818228721618652 + ], + [ + "inho", + -12.81824779510498 + ], + [ + "▁chapel", + -12.81825065612793 + ], + [ + "▁Monitoring", + -12.81838607788086 + ], + [ + "▁quotidienne", + -12.818404197692871 + ], + [ + "cloud", + -12.818506240844727 + ], + [ + "▁desfăşur", + -12.818531036376953 + ], + [ + "▁1952", + -12.818638801574707 + ], + [ + "▁Rü", + -12.818690299987793 + ], + [ + "▁Sigma", + -12.818804740905762 + ], + [ + "134", + -12.818835258483887 + ], + [ + "Sullivan", + -12.818909645080566 + ], + [ + "▁Bevölkerung", + -12.818909645080566 + ], + [ + "▁sufficiently", + -12.818953514099121 + ], + [ + "Check", + -12.818992614746094 + ], + [ + "rnie", + -12.8190336227417 + ], + [ + "contamin", + -12.819132804870605 + ], + [ + "▁gewonnen", + -12.81928825378418 + ], + [ + "▁bugetul", + -12.819376945495605 + ], + [ + "▁mustard", + -12.819414138793945 + ], + [ + "132", + -12.819478988647461 + ], + [ + "0.9", + -12.819535255432129 + ], + [ + "▁tratat", + -12.81957721710205 + ], + [ + "▁dilemma", + -12.819666862487793 + ], + [ + "▁versatility", + -12.819666862487793 + ], + [ + "▁clutter", + -12.819670677185059 + ], + [ + "▁Musk", + -12.81973934173584 + ], + [ + "▁Beide", + -12.819750785827637 + ], + [ + "hurst", + -12.819758415222168 + ], + [ + "atsu", + -12.819767951965332 + ], + [ + "absence", + -12.819784164428711 + ], + [ + "rebounds", + -12.819881439208984 + ], + [ + "6.1", + -12.820029258728027 + ], + [ + "Dia", + -12.820046424865723 + ], + [ + "▁siguranță", + -12.820060729980469 + ], + [ + "▁Blade", + -12.820072174072266 + ], + [ + "▁disrupt", + -12.820074081420898 + ], + [ + "▁visiteurs", + -12.820169448852539 + ], + [ + "tested", + -12.820282936096191 + ], + [ + "▁Lup", + -12.820353507995605 + ], + [ + "▁Rouge", + -12.820371627807617 + ], + [ + "▁asbestos", + -12.82042407989502 + ], + [ + "▁moisturize", + -12.820427894592285 + ], + [ + "▁acknowledg", + -12.82045841217041 + ], + [ + "▁procent", + -12.820467948913574 + ], + [ + "▁swear", + -12.82050895690918 + ], + [ + "▁911", + -12.820647239685059 + ], + [ + "präsent", + -12.820724487304688 + ], + [ + "▁cohort", + -12.82072639465332 + ], + [ + "▁intimid", + -12.820830345153809 + ], + [ + "JS", + -12.820849418640137 + ], + [ + "îm", + -12.82096004486084 + ], + [ + "▁Kunststoff", + -12.820963859558105 + ], + [ + "rison", + -12.820972442626953 + ], + [ + "▁praf", + -12.82097339630127 + ], + [ + "▁convient", + -12.821019172668457 + ], + [ + "▁partenaire", + -12.821088790893555 + ], + [ + "▁Verantwortlich", + -12.821182250976562 + ], + [ + "▁semiconductor", + -12.821182250976562 + ], + [ + "▁kürz", + -12.821187019348145 + ], + [ + "▁Bottom", + -12.821187973022461 + ], + [ + "▁tratamentul", + -12.82127571105957 + ], + [ + "Source", + -12.821331024169922 + ], + [ + "authored", + -12.82172679901123 + ], + [ + "robo", + -12.821867942810059 + ], + [ + "▁turf", + -12.82194709777832 + ], + [ + "▁liebe", + -12.821971893310547 + ], + [ + "▁Fotografi", + -12.821995735168457 + ], + [ + "Big", + -12.822064399719238 + ], + [ + "▁fireworks", + -12.822081565856934 + ], + [ + "▁presă", + -12.822135925292969 + ], + [ + "▁conceal", + -12.822269439697266 + ], + [ + "▁originated", + -12.82227897644043 + ], + [ + "▁biciclet", + -12.822319984436035 + ], + [ + "acești", + -12.822577476501465 + ], + [ + "▁mortar", + -12.822585105895996 + ], + [ + "▁Wunder", + -12.822626113891602 + ], + [ + "ionist", + -12.822696685791016 + ], + [ + "KM", + -12.822871208190918 + ], + [ + "▁Marion", + -12.822918891906738 + ], + [ + "produkte", + -12.822933197021484 + ], + [ + "▁Sprint", + -12.822999000549316 + ], + [ + "▁Nachde", + -12.8230619430542 + ], + [ + "▁verfüge", + -12.823100090026855 + ], + [ + "Marea", + -12.823177337646484 + ], + [ + "▁compressor", + -12.823253631591797 + ], + [ + "Arm", + -12.823290824890137 + ], + [ + "Auf", + -12.823311805725098 + ], + [ + "▁Polyester", + -12.823461532592773 + ], + [ + "▁Sheffield", + -12.823461532592773 + ], + [ + "illiard", + -12.823494911193848 + ], + [ + "▁misleading", + -12.82353401184082 + ], + [ + "multi", + -12.823749542236328 + ], + [ + "ripped", + -12.82381820678711 + ], + [ + "▁Cosmetic", + -12.82383918762207 + ], + [ + "▁Regal", + -12.823890686035156 + ], + [ + "▁authenticity", + -12.82414436340332 + ], + [ + "▁customizable", + -12.824219703674316 + ], + [ + "▁bathtub", + -12.824275016784668 + ], + [ + "▁Average", + -12.824292182922363 + ], + [ + "▁Muster", + -12.824522018432617 + ], + [ + "290", + -12.824529647827148 + ], + [ + "▁Ersatz", + -12.824570655822754 + ], + [ + "▁Might", + -12.824588775634766 + ], + [ + "published", + -12.82461929321289 + ], + [ + "▁Interpret", + -12.824640274047852 + ], + [ + "▁încep", + -12.82480239868164 + ], + [ + "▁proto", + -12.824851036071777 + ], + [ + "▁disque", + -12.824889183044434 + ], + [ + "▁Palestine", + -12.824980735778809 + ], + [ + "Over", + -12.824981689453125 + ], + [ + "▁verbessert", + -12.824983596801758 + ], + [ + "▁liefern", + -12.825017929077148 + ], + [ + "▁Handlung", + -12.825095176696777 + ], + [ + "▁Handels", + -12.825150489807129 + ], + [ + "▁eater", + -12.825201988220215 + ], + [ + "▁$40", + -12.825251579284668 + ], + [ + "illard", + -12.825334548950195 + ], + [ + "▁apariti", + -12.825413703918457 + ], + [ + "▁gag", + -12.825422286987305 + ], + [ + "▁chimic", + -12.825541496276855 + ], + [ + "▁Guru", + -12.825594902038574 + ], + [ + "▁Toilet", + -12.82571792602539 + ], + [ + "▁Tochter", + -12.825748443603516 + ], + [ + "▁Aurora", + -12.82579231262207 + ], + [ + "contro", + -12.825922966003418 + ], + [ + "▁GOP", + -12.825995445251465 + ], + [ + "Provence", + -12.826130867004395 + ], + [ + "▁Frieden", + -12.82614803314209 + ], + [ + "ăci", + -12.826216697692871 + ], + [ + "portée", + -12.826268196105957 + ], + [ + "▁upright", + -12.826300621032715 + ], + [ + "▁Physician", + -12.82650375366211 + ], + [ + "▁juridique", + -12.82650375366211 + ], + [ + "▁territorial", + -12.82650375366211 + ], + [ + "▁kindergarten", + -12.826505661010742 + ], + [ + "aéroport", + -12.826510429382324 + ], + [ + "▁whisper", + -12.826513290405273 + ], + [ + "▁capacities", + -12.826562881469727 + ], + [ + "dichte", + -12.826641082763672 + ], + [ + "▁Grenzen", + -12.826822280883789 + ], + [ + "▁Riv", + -12.82710075378418 + ], + [ + "épreuve", + -12.827266693115234 + ], + [ + "▁Scheme", + -12.827290534973145 + ], + [ + "mesures", + -12.827330589294434 + ], + [ + "▁Einfluss", + -12.827333450317383 + ], + [ + "appui", + -12.827713966369629 + ], + [ + "▁apuc", + -12.827827453613281 + ], + [ + "▁radiat", + -12.82794189453125 + ], + [ + "▁allergy", + -12.828035354614258 + ], + [ + "▁spear", + -12.828038215637207 + ], + [ + "▁Luxembourg", + -12.828086853027344 + ], + [ + "▁Registered", + -12.828115463256836 + ], + [ + "▁Shape", + -12.828198432922363 + ], + [ + "genie", + -12.828328132629395 + ], + [ + "nsonsten", + -12.828385353088379 + ], + [ + "▁Symposium", + -12.828412055969238 + ], + [ + "forderung", + -12.828474998474121 + ], + [ + "▁personalizat", + -12.82866096496582 + ], + [ + "▁ştiu", + -12.82875919342041 + ], + [ + "blatt", + -12.828804016113281 + ], + [ + "▁geometry", + -12.828807830810547 + ], + [ + "▁8:30", + -12.828831672668457 + ], + [ + "▁Fahrrad", + -12.828861236572266 + ], + [ + "After", + -12.828927040100098 + ], + [ + "▁ventilat", + -12.829072952270508 + ], + [ + "▁nylon", + -12.829190254211426 + ], + [ + "▁verkauft", + -12.829304695129395 + ], + [ + "öß", + -12.829345703125 + ], + [ + "▁Kath", + -12.829523086547852 + ], + [ + "▁Nuclear", + -12.829558372497559 + ], + [ + "▁Verizon", + -12.829560279846191 + ], + [ + "▁spokesperson", + -12.829560279846191 + ], + [ + "▁vietii", + -12.829560279846191 + ], + [ + "▁prescri", + -12.829629898071289 + ], + [ + "ру", + -12.829666137695312 + ], + [ + "6.2", + -12.829801559448242 + ], + [ + "▁spațiu", + -12.830018997192383 + ], + [ + "▁solvent", + -12.83006763458252 + ], + [ + ",000,000", + -12.830142974853516 + ], + [ + "reuen", + -12.830185890197754 + ], + [ + "plast", + -12.830245018005371 + ], + [ + "▁Activities", + -12.830334663391113 + ], + [ + "▁domni", + -12.83056926727295 + ], + [ + "▁trophy", + -12.830572128295898 + ], + [ + "▁saddle", + -12.830657958984375 + ], + [ + "▁renovat", + -12.830708503723145 + ], + [ + "▁bumper", + -12.830717086791992 + ], + [ + "▁penny", + -12.830741882324219 + ], + [ + "omato", + -12.830743789672852 + ], + [ + "AQ", + -12.83083438873291 + ], + [ + "kunst", + -12.830843925476074 + ], + [ + "hydrat", + -12.830860137939453 + ], + [ + "minder", + -12.830931663513184 + ], + [ + "trecerea", + -12.830949783325195 + ], + [ + "brush", + -12.831185340881348 + ], + [ + "TEC", + -12.83121395111084 + ], + [ + "Please", + -12.831253051757812 + ], + [ + "hydrated", + -12.831483840942383 + ], + [ + "ICAL", + -12.831636428833008 + ], + [ + "trauen", + -12.831639289855957 + ], + [ + "9,000", + -12.83175277709961 + ], + [ + "▁2030", + -12.831830024719238 + ], + [ + "▁Chennai", + -12.831854820251465 + ], + [ + "▁empirical", + -12.831854820251465 + ], + [ + "▁Subscribe", + -12.83206844329834 + ], + [ + "▁vorgestellt", + -12.832120895385742 + ], + [ + "▁Springfield", + -12.832159996032715 + ], + [ + "▁continuu", + -12.832311630249023 + ], + [ + "208", + -12.832351684570312 + ], + [ + "▁Bearing", + -12.83240795135498 + ], + [ + "2003", + -12.832572937011719 + ], + [ + "cheta", + -12.832608222961426 + ], + [ + "▁empathy", + -12.832623481750488 + ], + [ + "▁Alert", + -12.832817077636719 + ], + [ + "▁recreate", + -12.832879066467285 + ], + [ + "PJ", + -12.833159446716309 + ], + [ + "Name", + -12.83323860168457 + ], + [ + "▁Mouse", + -12.833405494689941 + ], + [ + "▁disturbing", + -12.833443641662598 + ], + [ + "▁leichter", + -12.83344841003418 + ], + [ + "▁cruel", + -12.833507537841797 + ], + [ + "▁detective", + -12.833531379699707 + ], + [ + "▁reimbursement", + -12.833626747131348 + ], + [ + "▁Gemeinschaft", + -12.833772659301758 + ], + [ + "▁adolescents", + -12.833772659301758 + ], + [ + "▁Reality", + -12.833954811096191 + ], + [ + "▁Stockholm", + -12.83415699005127 + ], + [ + "▁Gründen", + -12.834304809570312 + ], + [ + "▁Reflect", + -12.83432388305664 + ], + [ + "▁Palmer", + -12.834336280822754 + ], + [ + "▁treac", + -12.8343505859375 + ], + [ + "▁tentative", + -12.834497451782227 + ], + [ + "▁surrender", + -12.834677696228027 + ], + [ + "▁broadly", + -12.834734916687012 + ], + [ + "▁județ", + -12.834814071655273 + ], + [ + "▁Thu", + -12.834845542907715 + ], + [ + "wärts", + -12.834961891174316 + ], + [ + "▁crește", + -12.835074424743652 + ], + [ + "▁déplacement", + -12.835208892822266 + ], + [ + "blanc", + -12.835268020629883 + ], + [ + "▁£5", + -12.835308074951172 + ], + [ + "▁confidentiality", + -12.835320472717285 + ], + [ + "veraging", + -12.835444450378418 + ], + [ + "unité", + -12.835609436035156 + ], + [ + "clar", + -12.83564567565918 + ], + [ + "rigg", + -12.835693359375 + ], + [ + "honneur", + -12.835694313049316 + ], + [ + "▁adventurous", + -12.835694313049316 + ], + [ + "▁Nutzen", + -12.835758209228516 + ], + [ + "▁Kabel", + -12.835800170898438 + ], + [ + "empowering", + -12.836040496826172 + ], + [ + "verhalten", + -12.836042404174805 + ], + [ + "▁prevail", + -12.8361234664917 + ], + [ + "mashed", + -12.836138725280762 + ], + [ + "▁1947", + -12.83616828918457 + ], + [ + "function", + -12.836292266845703 + ], + [ + "niveaux", + -12.83633041381836 + ], + [ + "▁territories", + -12.836463928222656 + ], + [ + "▁Permanent", + -12.836465835571289 + ], + [ + "▁christmas", + -12.836471557617188 + ], + [ + "arguing", + -12.836490631103516 + ], + [ + "zukünftig", + -12.836654663085938 + ], + [ + "▁Eindruck", + -12.836817741394043 + ], + [ + "personalised", + -12.836854934692383 + ], + [ + "▁vecin", + -12.837211608886719 + ], + [ + "▁Affiliate", + -12.837234497070312 + ], + [ + "▁Silk", + -12.837249755859375 + ], + [ + "▁Tub", + -12.837440490722656 + ], + [ + "▁remont", + -12.837493896484375 + ], + [ + "▁sauber", + -12.837530136108398 + ], + [ + "gehörig", + -12.837562561035156 + ], + [ + "Maritime", + -12.83771800994873 + ], + [ + "▁Bö", + -12.837973594665527 + ], + [ + "▁1957", + -12.83800220489502 + ], + [ + "▁unparalleled", + -12.838005065917969 + ], + [ + "▁fulfillment", + -12.838042259216309 + ], + [ + "▁collage", + -12.838179588317871 + ], + [ + "fenders", + -12.838248252868652 + ], + [ + "▁neige", + -12.838275909423828 + ], + [ + "▁gamers", + -12.838325500488281 + ], + [ + "tefan", + -12.838339805603027 + ], + [ + "▁wifi", + -12.838349342346191 + ], + [ + "▁leisten", + -12.83835506439209 + ], + [ + "▁Verbesserung", + -12.838390350341797 + ], + [ + "▁composant", + -12.838400840759277 + ], + [ + "▁LORD", + -12.8384370803833 + ], + [ + "arrive", + -12.838472366333008 + ], + [ + "▁conquer", + -12.838562965393066 + ], + [ + "▁lentil", + -12.838767051696777 + ], + [ + "▁Sprech", + -12.838995933532715 + ], + [ + "▁substitution", + -12.839015007019043 + ], + [ + ".05.", + -12.839020729064941 + ], + [ + "FORM", + -12.839144706726074 + ], + [ + "cădere", + -12.839154243469238 + ], + [ + "▁canyon", + -12.839430809020996 + ], + [ + "▁capacitate", + -12.839442253112793 + ], + [ + "▁menace", + -12.839461326599121 + ], + [ + "▁Antique", + -12.839519500732422 + ], + [ + "▁dizaine", + -12.839550971984863 + ], + [ + "▁Saturn", + -12.839578628540039 + ], + [ + "▁gastro", + -12.83962631225586 + ], + [ + "▁Vand", + -12.839641571044922 + ], + [ + "▁africa", + -12.839682579040527 + ], + [ + "▁hackers", + -12.839702606201172 + ], + [ + "▁Bailey", + -12.839736938476562 + ], + [ + "ouette", + -12.839822769165039 + ], + [ + "hoch", + -12.839885711669922 + ], + [ + "étudiant", + -12.839973449707031 + ], + [ + "▁1600", + -12.840004920959473 + ], + [ + "utiliz", + -12.840167999267578 + ], + [ + "reinigung", + -12.840263366699219 + ], + [ + "▁mileage", + -12.84029483795166 + ], + [ + "▁consacré", + -12.840309143066406 + ], + [ + "▁Norfolk", + -12.840327262878418 + ], + [ + "stacked", + -12.840659141540527 + ], + [ + "anbieter", + -12.840731620788574 + ], + [ + "▁gewünschte", + -12.84073543548584 + ], + [ + "▁silicon", + -12.840761184692383 + ], + [ + "Ensuite", + -12.840794563293457 + ], + [ + "▁vendu", + -12.840850830078125 + ], + [ + "▁viteza", + -12.840851783752441 + ], + [ + "▁evaluare", + -12.840913772583008 + ], + [ + "▁contient", + -12.841036796569824 + ], + [ + "▁Viagra", + -12.841100692749023 + ], + [ + "▁circumstance", + -12.841283798217773 + ], + [ + "walker", + -12.841383934020996 + ], + [ + "▁Aluminium", + -12.84148120880127 + ], + [ + "ço", + -12.841556549072266 + ], + [ + "▁Kli", + -12.841643333435059 + ], + [ + "▁deliberately", + -12.841649055480957 + ], + [ + "▁gamble", + -12.841893196105957 + ], + [ + "▁nourri", + -12.841903686523438 + ], + [ + "▁sealing", + -12.84194278717041 + ], + [ + "▁Atmosphäre", + -12.842255592346191 + ], + [ + "▁erschien", + -12.842260360717773 + ], + [ + "▁brightness", + -12.842340469360352 + ], + [ + "autonomie", + -12.84251594543457 + ], + [ + "▁propel", + -12.842525482177734 + ], + [ + "▁Infrastructure", + -12.842642784118652 + ], + [ + "▁război", + -12.842642784118652 + ], + [ + "▁jelly", + -12.842684745788574 + ], + [ + "scalable", + -12.84280776977539 + ], + [ + "regal", + -12.84296703338623 + ], + [ + "▁sarcini", + -12.843031883239746 + ], + [ + "▁Dienstag", + -12.84304428100586 + ], + [ + "▁Receive", + -12.8430814743042 + ], + [ + "▁mango", + -12.843356132507324 + ], + [ + "▁compétition", + -12.84341812133789 + ], + [ + "▁Monument", + -12.843428611755371 + ], + [ + "▁mast", + -12.844159126281738 + ], + [ + "▁instructed", + -12.84425163269043 + ], + [ + "▁aventur", + -12.844277381896973 + ], + [ + "139", + -12.844298362731934 + ], + [ + "▁Parmi", + -12.84435749053955 + ], + [ + "confined", + -12.844416618347168 + ], + [ + "acious", + -12.844441413879395 + ], + [ + "▁simptome", + -12.844581604003906 + ], + [ + "▁Fischer", + -12.844897270202637 + ], + [ + "störung", + -12.844985008239746 + ], + [ + "▁bilateral", + -12.84504508972168 + ], + [ + "preşedintele", + -12.845274925231934 + ], + [ + "accueillir", + -12.845357894897461 + ], + [ + "▁Schmidt", + -12.845359802246094 + ], + [ + "litis", + -12.845373153686523 + ], + [ + "WL", + -12.8454008102417 + ], + [ + "▁Rise", + -12.845436096191406 + ], + [ + "▁streamline", + -12.845556259155273 + ], + [ + "sozialen", + -12.845585823059082 + ], + [ + "▁Emirates", + -12.845746040344238 + ], + [ + "▁encrypted", + -12.845746040344238 + ], + [ + "▁unfamiliar", + -12.845746040344238 + ], + [ + "established", + -12.84577751159668 + ], + [ + "▁Tätigkeit", + -12.845818519592285 + ], + [ + "▁unaware", + -12.845913887023926 + ], + [ + "2:00", + -12.8460054397583 + ], + [ + "macher", + -12.846013069152832 + ], + [ + "NSA", + -12.8461275100708 + ], + [ + "▁rutier", + -12.846177101135254 + ], + [ + "▁Trent", + -12.846212387084961 + ], + [ + "▁sickness", + -12.846277236938477 + ], + [ + "▁advert", + -12.846417427062988 + ], + [ + "▁Kranken", + -12.846426963806152 + ], + [ + "▁Sandra", + -12.846443176269531 + ], + [ + "▁Recreation", + -12.846449851989746 + ], + [ + "▁Evidence", + -12.846524238586426 + ], + [ + "▁Immigration", + -12.846524238586426 + ], + [ + "▁carriage", + -12.846524238586426 + ], + [ + "▁justified", + -12.84655475616455 + ], + [ + "▁veche", + -12.846579551696777 + ], + [ + "PGA", + -12.846604347229004 + ], + [ + "▁Carmen", + -12.846735000610352 + ], + [ + "▁Faites", + -12.846750259399414 + ], + [ + "▁erfüllt", + -12.84691333770752 + ], + [ + "▁voilà", + -12.846931457519531 + ], + [ + "▁împlin", + -12.846959114074707 + ], + [ + "deposited", + -12.84721565246582 + ], + [ + "▁decisiv", + -12.847241401672363 + ], + [ + "CSA", + -12.847249031066895 + ], + [ + "pathy", + -12.84726619720459 + ], + [ + "▁erweitert", + -12.847302436828613 + ], + [ + "▁liquor", + -12.847302436828613 + ], + [ + "▁resilient", + -12.847302436828613 + ], + [ + "▁walmart", + -12.847302436828613 + ], + [ + "▁fencing", + -12.847308158874512 + ], + [ + "▁dépasse", + -12.84731388092041 + ], + [ + "KT", + -12.847354888916016 + ], + [ + "▁fries", + -12.847368240356445 + ], + [ + "vadă", + -12.847421646118164 + ], + [ + "▁Spania", + -12.847478866577148 + ], + [ + "▁complètement", + -12.847725868225098 + ], + [ + "▁lucrari", + -12.84777545928955 + ], + [ + "▁Lieb", + -12.847908973693848 + ], + [ + "leistungen", + -12.847943305969238 + ], + [ + "198", + -12.847979545593262 + ], + [ + "▁Schnell", + -12.847997665405273 + ], + [ + "▁radius", + -12.84814453125 + ], + [ + "▁beneficiaries", + -12.848151206970215 + ], + [ + "▁northwest", + -12.848174095153809 + ], + [ + "▁#4", + -12.848223686218262 + ], + [ + "▁embryo", + -12.848492622375488 + ], + [ + "▁ditch", + -12.848791122436523 + ], + [ + "▁Seriously", + -12.848859786987305 + ], + [ + "oppel", + -12.848941802978516 + ], + [ + "▁stalk", + -12.849053382873535 + ], + [ + "écriture", + -12.849066734313965 + ], + [ + "512", + -12.84912109375 + ], + [ + "wiesen", + -12.849271774291992 + ], + [ + "▁Consum", + -12.849321365356445 + ], + [ + "▁lună", + -12.849405288696289 + ], + [ + "▁lantern", + -12.849441528320312 + ], + [ + "▁italian", + -12.849629402160645 + ], + [ + "▁achiziți", + -12.849639892578125 + ], + [ + "▁catalyst", + -12.849639892578125 + ], + [ + "▁Arbeitgeber", + -12.849662780761719 + ], + [ + "▁researched", + -12.8496675491333 + ], + [ + "▁drastically", + -12.849679946899414 + ], + [ + "versammlung", + -12.849735260009766 + ], + [ + "410", + -12.849800109863281 + ], + [ + "▁impus", + -12.850153923034668 + ], + [ + "▁interchange", + -12.850173950195312 + ], + [ + "▁pharmacie", + -12.850215911865234 + ], + [ + "Live", + -12.850354194641113 + ], + [ + "dents", + -12.850384712219238 + ], + [ + "▁charcoal", + -12.850419998168945 + ], + [ + "▁odihn", + -12.850420951843262 + ], + [ + "▁pistol", + -12.850444793701172 + ], + [ + "▁complaining", + -12.850576400756836 + ], + [ + "manager", + -12.850578308105469 + ], + [ + "themed", + -12.850578308105469 + ], + [ + "▁Chang", + -12.850650787353516 + ], + [ + "▁rookie", + -12.85070514678955 + ], + [ + "Great", + -12.850706100463867 + ], + [ + "▁smoker", + -12.850733757019043 + ], + [ + "▁Container", + -12.850812911987305 + ], + [ + "▁bancaire", + -12.850852966308594 + ], + [ + "▁Actual", + -12.850966453552246 + ], + [ + "füllen", + -12.850982666015625 + ], + [ + "forum", + -12.850985527038574 + ], + [ + "bleib", + -12.851073265075684 + ], + [ + "▁combi", + -12.851079940795898 + ], + [ + "smoked", + -12.851137161254883 + ], + [ + "difficultés", + -12.851161003112793 + ], + [ + "▁tactical", + -12.851240158081055 + ], + [ + "▁sichtbar", + -12.851483345031738 + ], + [ + "▁dreptate", + -12.851598739624023 + ], + [ + "ERT", + -12.85168743133545 + ], + [ + "▁Pond", + -12.85177993774414 + ], + [ + "▁Holly", + -12.851844787597656 + ], + [ + "erfolg", + -12.8518705368042 + ], + [ + "▁Nordic", + -12.851896286010742 + ], + [ + "évènement", + -12.851983070373535 + ], + [ + "embracing", + -12.851984024047852 + ], + [ + "▁Maximum", + -12.851984024047852 + ], + [ + "▁défend", + -12.85205078125 + ], + [ + "▁fruct", + -12.852056503295898 + ], + [ + "▁Conditioning", + -12.852099418640137 + ], + [ + "LG", + -12.852127075195312 + ], + [ + "exigence", + -12.852166175842285 + ], + [ + "amide", + -12.852187156677246 + ], + [ + "▁darunter", + -12.852208137512207 + ], + [ + "▁EVERY", + -12.852420806884766 + ], + [ + "▁comparat", + -12.85244083404541 + ], + [ + "boosting", + -12.852452278137207 + ], + [ + "▁Hawaiian", + -12.852553367614746 + ], + [ + "▁Geburt", + -12.852752685546875 + ], + [ + "deci", + -12.852782249450684 + ], + [ + "▁Apollo", + -12.852803230285645 + ], + [ + "▁schützen", + -12.852821350097656 + ], + [ + "tragere", + -12.852893829345703 + ], + [ + "Online", + -12.852904319763184 + ], + [ + "▁neural", + -12.852913856506348 + ], + [ + "▁lucrez", + -12.853188514709473 + ], + [ + "▁phenomenal", + -12.853253364562988 + ], + [ + "▁Height", + -12.853368759155273 + ], + [ + "coordinating", + -12.853548049926758 + ], + [ + "geschnitten", + -12.853631019592285 + ], + [ + "auront", + -12.853641510009766 + ], + [ + "▁administer", + -12.853644371032715 + ], + [ + "▁contend", + -12.853707313537598 + ], + [ + "▁crispy", + -12.853784561157227 + ], + [ + "chuck", + -12.854011535644531 + ], + [ + "▁Condition", + -12.8540678024292 + ], + [ + "gestaltung", + -12.854324340820312 + ], + [ + "▁Blvd", + -12.854331970214844 + ], + [ + "▁subjective", + -12.854470252990723 + ], + [ + "▁événements", + -12.854708671569824 + ], + [ + "▁Jenny", + -12.855131149291992 + ], + [ + "▁cumpăra", + -12.85519027709961 + ], + [ + "constructing", + -12.855262756347656 + ], + [ + "▁instructional", + -12.85539436340332 + ], + [ + "▁sterling", + -12.855446815490723 + ], + [ + "scrise", + -12.855470657348633 + ], + [ + "▁Boulevard", + -12.855551719665527 + ], + [ + "pipe", + -12.855620384216309 + ], + [ + "▁Pride", + -12.855748176574707 + ], + [ + "▁Kau", + -12.855751991271973 + ], + [ + "▁overhaul", + -12.855924606323242 + ], + [ + "▁Recruitment", + -12.855925559997559 + ], + [ + "▁thrilling", + -12.856218338012695 + ], + [ + "living", + -12.856302261352539 + ], + [ + "▁rămân", + -12.85645866394043 + ], + [ + "▁MOD", + -12.85661792755127 + ], + [ + "▁Newport", + -12.856675148010254 + ], + [ + "▁infectious", + -12.856688499450684 + ], + [ + "6-3", + -12.856860160827637 + ], + [ + "▁Apache", + -12.856976509094238 + ], + [ + "▁dependence", + -12.85698413848877 + ], + [ + "nutzung", + -12.857199668884277 + ], + [ + "praised", + -12.857211112976074 + ], + [ + "▁craving", + -12.857346534729004 + ], + [ + "▁cramp", + -12.857397079467773 + ], + [ + "▁mancare", + -12.857455253601074 + ], + [ + "▁entdeckt", + -12.857474327087402 + ], + [ + "▁Pioneer", + -12.857484817504883 + ], + [ + "▁Adelaide", + -12.857490539550781 + ], + [ + "2.0", + -12.857503890991211 + ], + [ + "168", + -12.857526779174805 + ], + [ + "▁Decorating", + -12.857611656188965 + ], + [ + "▁unpleasant", + -12.857854843139648 + ], + [ + "▁déclaration", + -12.857865333557129 + ], + [ + "▁Grafik", + -12.857908248901367 + ], + [ + "5-2", + -12.857937812805176 + ], + [ + "căci", + -12.857940673828125 + ], + [ + "▁invade", + -12.858171463012695 + ], + [ + "▁internaţional", + -12.858259201049805 + ], + [ + "▁fraudulent", + -12.858281135559082 + ], + [ + "▁crestere", + -12.858441352844238 + ], + [ + "ografic", + -12.858729362487793 + ], + [ + "plină", + -12.859140396118164 + ], + [ + "sunteti", + -12.859150886535645 + ], + [ + "/04", + -12.859176635742188 + ], + [ + "▁admis", + -12.85935115814209 + ], + [ + "▁mediation", + -12.859403610229492 + ], + [ + "ICC", + -12.859424591064453 + ], + [ + "roș", + -12.859660148620605 + ], + [ + "▁Aroma", + -12.8596773147583 + ], + [ + "1:00", + -12.859792709350586 + ], + [ + "gasesc", + -12.859822273254395 + ], + [ + "▁Defence", + -12.859850883483887 + ], + [ + "▁dictionary", + -12.859856605529785 + ], + [ + "▁Batterie", + -12.859865188598633 + ], + [ + "▁gesunde", + -12.85997486114502 + ], + [ + "146", + -12.860099792480469 + ], + [ + "▁mortal", + -12.860129356384277 + ], + [ + "▁Flughafen", + -12.860230445861816 + ], + [ + "hhh", + -12.860284805297852 + ], + [ + "▁novice", + -12.860342025756836 + ], + [ + "▁Develop", + -12.86043930053711 + ], + [ + "▁accidental", + -12.860516548156738 + ], + [ + "Muzeul", + -12.86054515838623 + ], + [ + "▁Jupiter", + -12.86062240600586 + ], + [ + "supposedly", + -12.860662460327148 + ], + [ + "energy", + -12.860758781433105 + ], + [ + "▁montrer", + -12.860764503479004 + ], + [ + "recalled", + -12.860795021057129 + ], + [ + "Press", + -12.860801696777344 + ], + [ + "▁postcard", + -12.86080265045166 + ], + [ + "target", + -12.86081600189209 + ], + [ + "▁vêtements", + -12.860881805419922 + ], + [ + "▁particle", + -12.860888481140137 + ], + [ + "professional", + -12.8608980178833 + ], + [ + "▁1949", + -12.860917091369629 + ], + [ + "yah", + -12.860980033874512 + ], + [ + "▁Spiegel", + -12.861017227172852 + ], + [ + "▁Jeffrey", + -12.861023902893066 + ], + [ + "fahrzeug", + -12.861027717590332 + ], + [ + "▁Plug", + -12.861051559448242 + ], + [ + "▁violin", + -12.861150741577148 + ], + [ + "▁condemn", + -12.861381530761719 + ], + [ + "▁conducere", + -12.861398696899414 + ], + [ + "▁Chevrolet", + -12.861412048339844 + ], + [ + "▁conceput", + -12.861461639404297 + ], + [ + "▁Merri", + -12.861493110656738 + ], + [ + "judging", + -12.861559867858887 + ], + [ + "embraced", + -12.86168098449707 + ], + [ + "▁Compact", + -12.861715316772461 + ], + [ + "▁château", + -12.861807823181152 + ], + [ + "etch", + -12.861945152282715 + ], + [ + "bedroom", + -12.861995697021484 + ], + [ + "People", + -12.862038612365723 + ], + [ + "25,000", + -12.86209774017334 + ], + [ + "ocyte", + -12.862146377563477 + ], + [ + "▁Lenovo", + -12.862205505371094 + ], + [ + "▁Hampton", + -12.862241744995117 + ], + [ + "5.2", + -12.862244606018066 + ], + [ + "▁progres", + -12.862266540527344 + ], + [ + "hoc", + -12.862288475036621 + ], + [ + "▁complementary", + -12.86241340637207 + ], + [ + "turned", + -12.862485885620117 + ], + [ + "mangel", + -12.862508773803711 + ], + [ + "▁Drew", + -12.862592697143555 + ], + [ + "épisode", + -12.86259651184082 + ], + [ + "▁Versorgung", + -12.86259651184082 + ], + [ + "▁ausdrücklich", + -12.86259651184082 + ], + [ + "ciune", + -12.862788200378418 + ], + [ + "▁sfârșit", + -12.862990379333496 + ], + [ + "Agricultural", + -12.862991333007812 + ], + [ + "▁caffeine", + -12.862991333007812 + ], + [ + "▁emergencies", + -12.862991333007812 + ], + [ + "▁unhappy", + -12.862991333007812 + ], + [ + "(7)", + -12.863043785095215 + ], + [ + "▁inlocui", + -12.863059043884277 + ], + [ + "▁Rochester", + -12.863153457641602 + ], + [ + "183", + -12.863155364990234 + ], + [ + "niz", + -12.863285064697266 + ], + [ + "tasche", + -12.863462448120117 + ], + [ + "▁Salle", + -12.86347484588623 + ], + [ + "cît", + -12.863478660583496 + ], + [ + "▁Singer", + -12.863489151000977 + ], + [ + "▁economically", + -12.863506317138672 + ], + [ + "▁ieși", + -12.863525390625 + ], + [ + "▁façade", + -12.86378288269043 + ], + [ + "Ohne", + -12.863801956176758 + ], + [ + "▁edible", + -12.863842964172363 + ], + [ + "Rob", + -12.863851547241211 + ], + [ + "▁(2014)", + -12.863859176635742 + ], + [ + "▁Zar", + -12.863919258117676 + ], + [ + "▁obey", + -12.863995552062988 + ], + [ + "Pack", + -12.864087104797363 + ], + [ + "▁Omni", + -12.864198684692383 + ], + [ + "▁Gilbert", + -12.864212036132812 + ], + [ + "▁Vlad", + -12.86429500579834 + ], + [ + "▁pauvre", + -12.864333152770996 + ], + [ + "▁secular", + -12.864383697509766 + ], + [ + "Center", + -12.864415168762207 + ], + [ + "▁Prospect", + -12.864457130432129 + ], + [ + "▁Noah", + -12.86450481414795 + ], + [ + "▁Interactive", + -12.86471176147461 + ], + [ + "▁centaine", + -12.86485767364502 + ], + [ + "▁cerebral", + -12.864971160888672 + ], + [ + "▁Novel", + -12.865013122558594 + ], + [ + "▁Käufer", + -12.865039825439453 + ], + [ + "werfen", + -12.865056991577148 + ], + [ + "▁reluctant", + -12.865143775939941 + ], + [ + "ес", + -12.86520004272461 + ], + [ + "Look", + -12.86521053314209 + ], + [ + "Erkrankung", + -12.86536693572998 + ], + [ + "▁cucumber", + -12.86536693572998 + ], + [ + "/2017", + -12.865399360656738 + ], + [ + "▁flank", + -12.865405082702637 + ], + [ + "opportunité", + -12.865667343139648 + ], + [ + "zugleich", + -12.865766525268555 + ], + [ + "RAT", + -12.865840911865234 + ], + [ + "▁avantages", + -12.865880012512207 + ], + [ + "▁außer", + -12.866008758544922 + ], + [ + "GV", + -12.866090774536133 + ], + [ + "▁Continental", + -12.866159439086914 + ], + [ + "▁affiliation", + -12.866159439086914 + ], + [ + "▁ursprünglich", + -12.86618423461914 + ], + [ + "▁hardship", + -12.866349220275879 + ], + [ + "âme", + -12.86647891998291 + ], + [ + "▁hallway", + -12.866576194763184 + ], + [ + "▁afară", + -12.866578102111816 + ], + [ + "western", + -12.866714477539062 + ], + [ + "▁Jacket", + -12.866802215576172 + ], + [ + "▁culturelle", + -12.866876602172852 + ], + [ + "▁glaci", + -12.866995811462402 + ], + [ + "metoda", + -12.867036819458008 + ], + [ + "▁clerk", + -12.867045402526855 + ], + [ + "▁ordinance", + -12.867185592651367 + ], + [ + "▁Initial", + -12.867197036743164 + ], + [ + "waking", + -12.86722469329834 + ], + [ + "▁Secondary", + -12.867366790771484 + ], + [ + "▁Solomon", + -12.867411613464355 + ], + [ + "glomer", + -12.867488861083984 + ], + [ + "SYS", + -12.867530822753906 + ], + [ + "▁Florin", + -12.867596626281738 + ], + [ + "ffentlich", + -12.867670059204102 + ], + [ + "▁Printer", + -12.867674827575684 + ], + [ + "▁dimineata", + -12.86774730682373 + ], + [ + "▁stripes", + -12.867748260498047 + ], + [ + "plugged", + -12.86776065826416 + ], + [ + "öhl", + -12.867836952209473 + ], + [ + "infused", + -12.867875099182129 + ], + [ + "▁Rubber", + -12.867895126342773 + ], + [ + "paved", + -12.867898941040039 + ], + [ + "▁Devi", + -12.867995262145996 + ], + [ + "▁subway", + -12.8681640625 + ], + [ + "▁gases", + -12.868306159973145 + ], + [ + "▁reguli", + -12.868371963500977 + ], + [ + "▁Rebel", + -12.868413925170898 + ], + [ + "▁destructive", + -12.868546485900879 + ], + [ + "▁oferind", + -12.868664741516113 + ], + [ + "9001", + -12.868876457214355 + ], + [ + "CRA", + -12.868912696838379 + ], + [ + "why", + -12.868932723999023 + ], + [ + "sensul", + -12.869036674499512 + ], + [ + "guter", + -12.869277000427246 + ], + [ + "Empfehlung", + -12.869338035583496 + ], + [ + "▁convertible", + -12.86953353881836 + ], + [ + "▁predominantly", + -12.869637489318848 + ], + [ + "▁Mentor", + -12.869649887084961 + ], + [ + "Practic", + -12.869720458984375 + ], + [ + "▁echipă", + -12.869754791259766 + ], + [ + "onsite", + -12.869853019714355 + ], + [ + "▁zunehmend", + -12.86994743347168 + ], + [ + "▁Harbour", + -12.870016098022461 + ], + [ + "▁pineapple", + -12.870133399963379 + ], + [ + "▁gasoline", + -12.870139122009277 + ], + [ + "▁Jaguar", + -12.870158195495605 + ], + [ + "kno", + -12.870259284973145 + ], + [ + "▁heap", + -12.870448112487793 + ], + [ + "▁fictional", + -12.870481491088867 + ], + [ + "fiinta", + -12.870753288269043 + ], + [ + "▁Amber", + -12.87081241607666 + ], + [ + "▁Exclusive", + -12.870929718017578 + ], + [ + "▁Pharmaceutical", + -12.870929718017578 + ], + [ + "▁unterscheide", + -12.871044158935547 + ], + [ + "▁1942", + -12.871116638183594 + ], + [ + "▁Ceiling", + -12.87115478515625 + ], + [ + "developed", + -12.871228218078613 + ], + [ + "▁consacr", + -12.87132453918457 + ], + [ + "▁Membr", + -12.871411323547363 + ], + [ + "erton", + -12.871447563171387 + ], + [ + "habitation", + -12.871685981750488 + ], + [ + "▁longevity", + -12.871726989746094 + ], + [ + "▁Starbucks", + -12.871728897094727 + ], + [ + "▁poat", + -12.871771812438965 + ], + [ + "▁commissioner", + -12.871794700622559 + ], + [ + "pedia", + -12.871938705444336 + ], + [ + "popped", + -12.872468948364258 + ], + [ + "versorgung", + -12.872525215148926 + ], + [ + "▁Aktivitäten", + -12.872525215148926 + ], + [ + "▁Betreuung", + -12.872525215148926 + ], + [ + "▁afacere", + -12.872968673706055 + ], + [ + "▁Mechanical", + -12.873323440551758 + ], + [ + "▁Leiter", + -12.873346328735352 + ], + [ + "▁scaling", + -12.873427391052246 + ], + [ + "▁Slim", + -12.87350082397461 + ], + [ + "▁temperaturi", + -12.873516082763672 + ], + [ + "ACH", + -12.873558044433594 + ], + [ + "▁jährlich", + -12.873682022094727 + ], + [ + "▁photographie", + -12.873722076416016 + ], + [ + "▁préalable", + -12.873725891113281 + ], + [ + "▁părinți", + -12.87372875213623 + ], + [ + "▁Farmers", + -12.873873710632324 + ], + [ + "▁Printable", + -12.873905181884766 + ], + [ + "Früh", + -12.873908996582031 + ], + [ + "approved", + -12.87398624420166 + ], + [ + "otro", + -12.874094009399414 + ], + [ + "▁veneer", + -12.874099731445312 + ], + [ + "▁Warriors", + -12.874122619628906 + ], + [ + "▁Approach", + -12.874149322509766 + ], + [ + "Share", + -12.874238967895508 + ], + [ + "▁buds", + -12.874252319335938 + ], + [ + "▁Într", + -12.874330520629883 + ], + [ + "glichen", + -12.87452507019043 + ], + [ + "▁anbieten", + -12.87452507019043 + ], + [ + "MET", + -12.874539375305176 + ], + [ + "amélioration", + -12.87468147277832 + ], + [ + "ländische", + -12.87468433380127 + ], + [ + "nsgesamt", + -12.874764442443848 + ], + [ + "einiger", + -12.874822616577148 + ], + [ + "▁Förderung", + -12.874876022338867 + ], + [ + "destroying", + -12.874910354614258 + ], + [ + "▁accreditation", + -12.874922752380371 + ], + [ + "reminiscent", + -12.875094413757324 + ], + [ + "▁retriev", + -12.87528133392334 + ], + [ + "▁Flü", + -12.875306129455566 + ], + [ + "▁Monsieur", + -12.875322341918945 + ], + [ + "German", + -12.87536334991455 + ], + [ + "Orice", + -12.875443458557129 + ], + [ + "künftig", + -12.875523567199707 + ], + [ + "▁vorbi", + -12.875639915466309 + ], + [ + "▁intentionally", + -12.875733375549316 + ], + [ + "▁îngrij", + -12.875743865966797 + ], + [ + "▁laughed", + -12.875850677490234 + ], + [ + "▁Fiction", + -12.875913619995117 + ], + [ + "▁inteligent", + -12.875914573669434 + ], + [ + "▁Translation", + -12.875953674316406 + ], + [ + "greete", + -12.875983238220215 + ], + [ + "▁énergétique", + -12.876123428344727 + ], + [ + "uncovered", + -12.876248359680176 + ], + [ + "▁évidemment", + -12.876523971557617 + ], + [ + "▁Vietnamese", + -12.876535415649414 + ], + [ + "▁Libya", + -12.876675605773926 + ], + [ + "▁Trailer", + -12.876734733581543 + ], + [ + "▁Wohl", + -12.876871109008789 + ], + [ + "▁Congo", + -12.87698745727539 + ], + [ + "▁freut", + -12.877002716064453 + ], + [ + "zauber", + -12.877090454101562 + ], + [ + "▁Pân", + -12.877142906188965 + ], + [ + "▁mentine", + -12.877333641052246 + ], + [ + "▁welding", + -12.877335548400879 + ], + [ + "▁Mircea", + -12.8773775100708 + ], + [ + "▁optimism", + -12.877455711364746 + ], + [ + "VEL", + -12.877504348754883 + ], + [ + "oilea", + -12.877540588378906 + ], + [ + "▁thereafter", + -12.877612113952637 + ], + [ + "▁André", + -12.877710342407227 + ], + [ + "forschung", + -12.877799987792969 + ], + [ + "running", + -12.878022193908691 + ], + [ + "▁hostile", + -12.878059387207031 + ], + [ + "Homme", + -12.87811279296875 + ], + [ + "▁Satellite", + -12.878129005432129 + ], + [ + "▁collagen", + -12.87841796875 + ], + [ + "▁concedi", + -12.878518104553223 + ], + [ + "▁produziert", + -12.87852954864502 + ], + [ + "▁virgin", + -12.878540992736816 + ], + [ + "frant", + -12.87857723236084 + ], + [ + "▁teammates", + -12.878744125366211 + ], + [ + "▁faceti", + -12.878802299499512 + ], + [ + "▁Restoration", + -12.87893295288086 + ], + [ + "▁detached", + -12.878935813903809 + ], + [ + "▁Instructor", + -12.878950119018555 + ], + [ + "montag", + -12.879227638244629 + ], + [ + "▁borrowing", + -12.879375457763672 + ], + [ + "▁Retro", + -12.879446983337402 + ], + [ + "▁behandelt", + -12.879536628723145 + ], + [ + "▁Aussage", + -12.879715919494629 + ], + [ + "▁snorkel", + -12.879734992980957 + ], + [ + "▁Proceedings", + -12.879754066467285 + ], + [ + "▁Judy", + -12.879776000976562 + ], + [ + "▁Wendy", + -12.879783630371094 + ], + [ + "artă", + -12.879920959472656 + ], + [ + "▁Vergangenheit", + -12.88013744354248 + ], + [ + "▁Gegner", + -12.880139350891113 + ], + [ + "▁ulcer", + -12.880166053771973 + ], + [ + "wirksam", + -12.880553245544434 + ], + [ + "▁închis", + -12.880560874938965 + ], + [ + "▁emission", + -12.88068962097168 + ], + [ + "ulescu", + -12.880754470825195 + ], + [ + "▁bancar", + -12.880819320678711 + ], + [ + "compromising", + -12.880924224853516 + ], + [ + "▁Priest", + -12.881156921386719 + ], + [ + "▁Progress", + -12.881318092346191 + ], + [ + "▁punish", + -12.88144588470459 + ], + [ + "▁Afin", + -12.881450653076172 + ], + [ + "▁Bog", + -12.881514549255371 + ], + [ + "lunii", + -12.881525039672852 + ], + [ + "▁ressembl", + -12.881570816040039 + ], + [ + "▁Creation", + -12.881644248962402 + ], + [ + "effet", + -12.881668090820312 + ], + [ + "Versicherung", + -12.881671905517578 + ], + [ + "médias", + -12.881672859191895 + ], + [ + "▁Kritik", + -12.881793975830078 + ], + [ + "idia", + -12.881896018981934 + ], + [ + "▁Wasch", + -12.881929397583008 + ], + [ + "UAL", + -12.882059097290039 + ], + [ + "Approximately", + -12.882149696350098 + ], + [ + "izari", + -12.882152557373047 + ], + [ + "▁Dortmund", + -12.882152557373047 + ], + [ + "▁contul", + -12.882343292236328 + ], + [ + "▁Airways", + -12.882408142089844 + ], + [ + "sicherung", + -12.882535934448242 + ], + [ + "échelle", + -12.882560729980469 + ], + [ + "ADD", + -12.882582664489746 + ], + [ + "DIA", + -12.88259506225586 + ], + [ + "kabel", + -12.882621765136719 + ], + [ + "Media", + -12.88268756866455 + ], + [ + "ampli", + -12.882894515991211 + ], + [ + "▁quarry", + -12.88295841217041 + ], + [ + "▁acoper", + -12.883072853088379 + ], + [ + "halter", + -12.883326530456543 + ], + [ + "▁solicitor", + -12.883684158325195 + ], + [ + "phosphat", + -12.883763313293457 + ], + [ + "▁drown", + -12.883773803710938 + ], + [ + "congratulat", + -12.884047508239746 + ], + [ + "▁uneven", + -12.884087562561035 + ], + [ + "▁rupe", + -12.884154319763184 + ], + [ + "▁heureux", + -12.88417911529541 + ], + [ + "caractéristiques", + -12.884221076965332 + ], + [ + "60,000", + -12.884283065795898 + ], + [ + "ambigu", + -12.884340286254883 + ], + [ + "224", + -12.884417533874512 + ], + [ + "dov", + -12.88454532623291 + ], + [ + "▁Naturally", + -12.884629249572754 + ], + [ + "▁Ernst", + -12.884634017944336 + ], + [ + "Camp", + -12.884757995605469 + ], + [ + "▁Worldwide", + -12.884909629821777 + ], + [ + "▁antrenament", + -12.885042190551758 + ], + [ + "▁jocul", + -12.88521671295166 + ], + [ + "▁broccoli", + -12.88537883758545 + ], + [ + "▁fascinated", + -12.88537883758545 + ], + [ + "▁Abbey", + -12.885387420654297 + ], + [ + "▁aquarium", + -12.885390281677246 + ], + [ + "HAN", + -12.885458946228027 + ], + [ + "chaffung", + -12.885480880737305 + ], + [ + "137", + -12.885503768920898 + ], + [ + "rumors", + -12.885515213012695 + ], + [ + "reliance", + -12.885557174682617 + ], + [ + "▁vaccination", + -12.8856782913208 + ], + [ + "responsabilitate", + -12.885777473449707 + ], + [ + "▁legislati", + -12.885782241821289 + ], + [ + "ATT", + -12.885826110839844 + ], + [ + "206", + -12.885896682739258 + ], + [ + "▁miere", + -12.885967254638672 + ], + [ + "▁rezultatul", + -12.885988235473633 + ], + [ + "părea", + -12.88599681854248 + ], + [ + "zuführen", + -12.886159896850586 + ], + [ + "▁Kompetenz", + -12.886187553405762 + ], + [ + "▁nickname", + -12.886195182800293 + ], + [ + "pilot", + -12.88620376586914 + ], + [ + "▁ninth", + -12.886252403259277 + ], + [ + "▁Tyr", + -12.886446952819824 + ], + [ + "▁misuse", + -12.886469841003418 + ], + [ + "▁SUP", + -12.886514663696289 + ], + [ + "▁Attack", + -12.88667106628418 + ], + [ + "Smart", + -12.88669490814209 + ], + [ + "▁Philosoph", + -12.886930465698242 + ], + [ + "▁Alege", + -12.886931419372559 + ], + [ + "▁femeile", + -12.886967658996582 + ], + [ + "▁Heating", + -12.88698673248291 + ], + [ + "▁Cricket", + -12.886999130249023 + ], + [ + "▁scholar", + -12.887049674987793 + ], + [ + "Model", + -12.887073516845703 + ], + [ + "▁stimulating", + -12.887182235717773 + ], + [ + "▁industrielle", + -12.887189865112305 + ], + [ + "▁phenomena", + -12.887303352355957 + ], + [ + "▁Nahrung", + -12.887414932250977 + ], + [ + "▁Conditioner", + -12.887433052062988 + ], + [ + "führ", + -12.887489318847656 + ], + [ + "▁révolution", + -12.88757610321045 + ], + [ + "plastic", + -12.887595176696777 + ], + [ + "▁approximate", + -12.887596130371094 + ], + [ + "▁dienen", + -12.887624740600586 + ], + [ + "▁obsession", + -12.887807846069336 + ], + [ + "▁rectangular", + -12.887807846069336 + ], + [ + "Allemagne", + -12.887808799743652 + ], + [ + "▁Tanzania", + -12.887824058532715 + ], + [ + "border", + -12.887884140014648 + ], + [ + "▁crashed", + -12.887958526611328 + ], + [ + "visor", + -12.887974739074707 + ], + [ + "▁autorizat", + -12.888072967529297 + ], + [ + "▁Champagne", + -12.888222694396973 + ], + [ + "längst", + -12.888238906860352 + ], + [ + "▁realities", + -12.888314247131348 + ], + [ + "▁Keyword", + -12.88831615447998 + ], + [ + "▁GUI", + -12.888495445251465 + ], + [ + "▁simplified", + -12.88865852355957 + ], + [ + "▁Rack", + -12.888681411743164 + ], + [ + "▁Zahlen", + -12.888693809509277 + ], + [ + "growth", + -12.888897895812988 + ], + [ + "▁rehearsal", + -12.888991355895996 + ], + [ + "▁Epic", + -12.888999938964844 + ], + [ + "▁réussite", + -12.889195442199707 + ], + [ + "▁politician", + -12.889263153076172 + ], + [ + "▁emoți", + -12.889378547668457 + ], + [ + "▁delegation", + -12.889449119567871 + ], + [ + "▁со", + -12.889464378356934 + ], + [ + "oversized", + -12.889477729797363 + ], + [ + "▁Motto", + -12.889481544494629 + ], + [ + "1860", + -12.889788627624512 + ], + [ + "▁defective", + -12.889803886413574 + ], + [ + "brewing", + -12.889852523803711 + ], + [ + "linguistic", + -12.890243530273438 + ], + [ + "▁Hopkins", + -12.890265464782715 + ], + [ + "▁(2012)", + -12.89030933380127 + ], + [ + "crease", + -12.890436172485352 + ], + [ + "▁Versicherungs", + -12.89052677154541 + ], + [ + "▁Noble", + -12.890752792358398 + ], + [ + "▁Bekannt", + -12.890896797180176 + ], + [ + "▁vorstellen", + -12.89095401763916 + ], + [ + "▁suburban", + -12.890970230102539 + ], + [ + "DAC", + -12.890995025634766 + ], + [ + "▁scatter", + -12.89103889465332 + ], + [ + "▁Artificial", + -12.8910551071167 + ], + [ + "▁reactor", + -12.891073226928711 + ], + [ + "▁modelling", + -12.89108943939209 + ], + [ + "▁Holder", + -12.891148567199707 + ], + [ + "athon", + -12.891149520874023 + ], + [ + "147", + -12.891190528869629 + ], + [ + "▁stagn", + -12.891257286071777 + ], + [ + "ARY", + -12.891261100769043 + ], + [ + "Space", + -12.89126968383789 + ], + [ + "▁Gibson", + -12.891718864440918 + ], + [ + "▁Investigator", + -12.89173698425293 + ], + [ + "▁1914", + -12.891818046569824 + ], + [ + "▁Muhammad", + -12.891868591308594 + ], + [ + "▁shove", + -12.892073631286621 + ], + [ + "▁erklären", + -12.892276763916016 + ], + [ + "▁abdomen", + -12.892277717590332 + ], + [ + "▁Mazda", + -12.892349243164062 + ], + [ + "▁hemo", + -12.892364501953125 + ], + [ + "National", + -12.892455101013184 + ], + [ + "starken", + -12.89267635345459 + ], + [ + "▁Cyprus", + -12.892683982849121 + ], + [ + "▁tread", + -12.892721176147461 + ], + [ + "▁sweetness", + -12.892725944519043 + ], + [ + "stunden", + -12.892790794372559 + ], + [ + "▁couverture", + -12.893059730529785 + ], + [ + "▁Successful", + -12.893060684204102 + ], + [ + "▁oublier", + -12.893171310424805 + ], + [ + "▁esential", + -12.893203735351562 + ], + [ + "estival", + -12.89321231842041 + ], + [ + "gnac", + -12.893280029296875 + ], + [ + "▁Basement", + -12.893457412719727 + ], + [ + "presumably", + -12.893497467041016 + ], + [ + "▁mourn", + -12.893561363220215 + ], + [ + "armée", + -12.893677711486816 + ], + [ + "148", + -12.893845558166504 + ], + [ + "▁residue", + -12.894006729125977 + ], + [ + "▁metalic", + -12.89404296875 + ], + [ + "▁Zell", + -12.89425277709961 + ], + [ + "Build", + -12.894280433654785 + ], + [ + "▁prevalence", + -12.894312858581543 + ], + [ + "▁wrestling", + -12.894312858581543 + ], + [ + "▁ascuns", + -12.894325256347656 + ], + [ + "Sacred", + -12.894340515136719 + ], + [ + "Tec", + -12.89438533782959 + ], + [ + "▁Kindergarten", + -12.894389152526855 + ], + [ + "bindung", + -12.894464492797852 + ], + [ + "▁ritm", + -12.894545555114746 + ], + [ + "▁triste", + -12.894651412963867 + ], + [ + "▁introdus", + -12.894758224487305 + ], + [ + "/2016", + -12.894824028015137 + ], + [ + "▁română", + -12.894899368286133 + ], + [ + "▁bibli", + -12.89490032196045 + ], + [ + "▁cigar", + -12.894913673400879 + ], + [ + "Rie", + -12.894990921020508 + ], + [ + "▁intentional", + -12.894999504089355 + ], + [ + "▁cuprins", + -12.895098686218262 + ], + [ + "remarkably", + -12.895129203796387 + ], + [ + "▁printemps", + -12.895133972167969 + ], + [ + "▁declining", + -12.895171165466309 + ], + [ + "Magazin", + -12.89552116394043 + ], + [ + "▁săptămână", + -12.895537376403809 + ], + [ + "▁vérifier", + -12.895549774169922 + ], + [ + "▁Speise", + -12.895584106445312 + ], + [ + "▁reteta", + -12.8956298828125 + ], + [ + "heed", + -12.895772933959961 + ], + [ + "▁Compliance", + -12.895946502685547 + ], + [ + "▁embroidery", + -12.895946502685547 + ], + [ + "cried", + -12.896025657653809 + ], + [ + "▁(„", + -12.896282196044922 + ], + [ + "▁heck", + -12.89629077911377 + ], + [ + "▁sadness", + -12.896501541137695 + ], + [ + "▁impulse", + -12.896585464477539 + ], + [ + "ATH", + -12.896740913391113 + ], + [ + "▁lavender", + -12.896773338317871 + ], + [ + "uiesc", + -12.896790504455566 + ], + [ + "▁Disorder", + -12.896876335144043 + ], + [ + "stroke", + -12.896991729736328 + ], + [ + "▁piaţ", + -12.8970365524292 + ], + [ + "ournée", + -12.897049903869629 + ], + [ + "▁Barnes", + -12.8971586227417 + ], + [ + "▁scăzut", + -12.897172927856445 + ], + [ + "▁équipements", + -12.89725112915039 + ], + [ + "OND", + -12.897375106811523 + ], + [ + "▁Compet", + -12.897424697875977 + ], + [ + "▁Bestell", + -12.89748477935791 + ], + [ + "▁immédiatement", + -12.897587776184082 + ], + [ + "aparut", + -12.89759635925293 + ], + [ + "▁rainfall", + -12.897882461547852 + ], + [ + "oreille", + -12.89797306060791 + ], + [ + "▁ministère", + -12.898014068603516 + ], + [ + "iris", + -12.898140907287598 + ], + [ + "dyna", + -12.898279190063477 + ], + [ + "drücken", + -12.898343086242676 + ], + [ + "▁détect", + -12.89834976196289 + ], + [ + "▁fonctionnalité", + -12.89840030670166 + ], + [ + "▁imbalance", + -12.89840030670166 + ], + [ + "▁unpredictable", + -12.89840030670166 + ], + [ + "▁literar", + -12.89846134185791 + ], + [ + "▁Windsor", + -12.898472785949707 + ], + [ + "▁Unlimited", + -12.898481369018555 + ], + [ + "colour", + -12.898674964904785 + ], + [ + "▁Portfolio", + -12.898810386657715 + ], + [ + "149", + -12.898883819580078 + ], + [ + "volution", + -12.898890495300293 + ], + [ + "▁folgende", + -12.899078369140625 + ], + [ + "▁arbitration", + -12.899105072021484 + ], + [ + "kicking", + -12.89913558959961 + ], + [ + "zügig", + -12.89923095703125 + ], + [ + "▁1941", + -12.899311065673828 + ], + [ + "▁Drake", + -12.89955997467041 + ], + [ + "▁ausführlich", + -12.899630546569824 + ], + [ + "▁chaussure", + -12.899630546569824 + ], + [ + "▁intestinal", + -12.89976692199707 + ], + [ + "▁pilgrim", + -12.900040626525879 + ], + [ + "▁Bark", + -12.900142669677734 + ], + [ + "between", + -12.900157928466797 + ], + [ + "disposed", + -12.900175094604492 + ], + [ + "▁Dylan", + -12.900218963623047 + ], + [ + "ств", + -12.900253295898438 + ], + [ + "NOR", + -12.900287628173828 + ], + [ + "traces", + -12.90038776397705 + ], + [ + "▁moindre", + -12.900500297546387 + ], + [ + "▁$10,000", + -12.900552749633789 + ], + [ + "212", + -12.900599479675293 + ], + [ + "wusste", + -12.900659561157227 + ], + [ + "▁predictable", + -12.900671005249023 + ], + [ + "poţi", + -12.900679588317871 + ], + [ + "▁Celsius", + -12.900860786437988 + ], + [ + "gebunden", + -12.90086841583252 + ], + [ + "▁Legacy", + -12.900891304016113 + ], + [ + "movers", + -12.90090274810791 + ], + [ + "▁concret", + -12.90098762512207 + ], + [ + "▁simpla", + -12.901050567626953 + ], + [ + "rechnet", + -12.901103973388672 + ], + [ + "▁certainty", + -12.901144981384277 + ], + [ + "entrepreneurship", + -12.901153564453125 + ], + [ + "kohl", + -12.901289939880371 + ], + [ + "▁curte", + -12.901311874389648 + ], + [ + "▁Forbes", + -12.901411056518555 + ], + [ + "▁Zusatz", + -12.901535987854004 + ], + [ + "blending", + -12.90163803100586 + ], + [ + "▁variat", + -12.901642799377441 + ], + [ + "▁galaxy", + -12.90168285369873 + ], + [ + "▁safari", + -12.90168571472168 + ], + [ + "▁municipalities", + -12.9017972946167 + ], + [ + "▁Drept", + -12.90180778503418 + ], + [ + "aufnahme", + -12.902128219604492 + ], + [ + "▁endorse", + -12.902223587036133 + ], + [ + "einrichtung", + -12.902244567871094 + ], + [ + "Sync", + -12.902270317077637 + ], + [ + "abide", + -12.902323722839355 + ], + [ + "brushed", + -12.902350425720215 + ], + [ + "▁actiune", + -12.902410507202148 + ], + [ + "quaint", + -12.902498245239258 + ], + [ + "▁volatility", + -12.902504920959473 + ], + [ + "▁repetitive", + -12.902505874633789 + ], + [ + "▁découvr", + -12.902560234069824 + ], + [ + "Totodat", + -12.902585983276367 + ], + [ + "▁românesc", + -12.902682304382324 + ], + [ + "▁tempting", + -12.902772903442383 + ], + [ + "thesis", + -12.902947425842285 + ], + [ + "secure", + -12.903013229370117 + ], + [ + "delt", + -12.903019905090332 + ], + [ + "▁şef", + -12.903167724609375 + ], + [ + "▁epidemic", + -12.903326988220215 + ], + [ + "▁Appliance", + -12.903327941894531 + ], + [ + "cearcă", + -12.903331756591797 + ], + [ + "▁lodging", + -12.903361320495605 + ], + [ + "▁photographed", + -12.903507232666016 + ], + [ + "geschlagen", + -12.903794288635254 + ], + [ + "▁Methodist", + -12.90380859375 + ], + [ + "▁Transit", + -12.90389347076416 + ], + [ + "▁Länder", + -12.903934478759766 + ], + [ + "villa", + -12.903986930847168 + ], + [ + "▁toilette", + -12.904031753540039 + ], + [ + "anno", + -12.904074668884277 + ], + [ + "▁Aufnahme", + -12.904091835021973 + ], + [ + "▁Coral", + -12.904099464416504 + ], + [ + "pourraient", + -12.904129981994629 + ], + [ + "▁digestion", + -12.904245376586914 + ], + [ + "▁Vacation", + -12.904274940490723 + ], + [ + "▁Rugby", + -12.904275894165039 + ], + [ + "MIC", + -12.904311180114746 + ], + [ + "▁choc", + -12.904417991638184 + ], + [ + "2002", + -12.904492378234863 + ], + [ + "gestion", + -12.904674530029297 + ], + [ + "▁Zoom", + -12.904745101928711 + ], + [ + "essor", + -12.904763221740723 + ], + [ + "weighed", + -12.904793739318848 + ], + [ + "▁dispus", + -12.904987335205078 + ], + [ + "▁redemption", + -12.90502643585205 + ], + [ + "▁plaster", + -12.905071258544922 + ], + [ + "▁Quilt", + -12.90507698059082 + ], + [ + "▁teritoriul", + -12.905088424682617 + ], + [ + "ndern", + -12.905097961425781 + ], + [ + "▁expired", + -12.905105590820312 + ], + [ + "▁Tribunal", + -12.905122756958008 + ], + [ + "occupation", + -12.9052152633667 + ], + [ + "▁woodland", + -12.905248641967773 + ], + [ + "vieux", + -12.905254364013672 + ], + [ + "▁Midland", + -12.905465126037598 + ], + [ + "gât", + -12.90571117401123 + ], + [ + "électricité", + -12.905800819396973 + ], + [ + "▁vanzare", + -12.905811309814453 + ], + [ + "biologi", + -12.905961036682129 + ], + [ + "▁vive", + -12.906060218811035 + ], + [ + "▁Alarm", + -12.906097412109375 + ], + [ + "▁experiență", + -12.9061279296875 + ], + [ + "▁Loch", + -12.906133651733398 + ], + [ + "▁Pedro", + -12.906194686889648 + ], + [ + "▁detergent", + -12.906217575073242 + ], + [ + "language", + -12.906554222106934 + ], + [ + "▁sedan", + -12.906655311584473 + ], + [ + "▁Brady", + -12.906736373901367 + ], + [ + "▁compus", + -12.906976699829102 + ], + [ + "▁landfill", + -12.906982421875 + ], + [ + "giu", + -12.907039642333984 + ], + [ + "beziehung", + -12.9070405960083 + ], + [ + "▁picior", + -12.907184600830078 + ], + [ + "ALI", + -12.907235145568848 + ], + [ + "▁Commander", + -12.907256126403809 + ], + [ + "EPS", + -12.907303810119629 + ], + [ + "▁Textil", + -12.907320022583008 + ], + [ + "▁industria", + -12.907339096069336 + ], + [ + "lox", + -12.907365798950195 + ], + [ + "▁eclectic", + -12.907453536987305 + ], + [ + "▁gracious", + -12.907477378845215 + ], + [ + "Uniunea", + -12.907525062561035 + ], + [ + "bps", + -12.90754222869873 + ], + [ + "▁entertained", + -12.907634735107422 + ], + [ + "depinde", + -12.907767295837402 + ], + [ + "▁daylight", + -12.907893180847168 + ], + [ + "▁résistance", + -12.907995223999023 + ], + [ + "ARN", + -12.908194541931152 + ], + [ + "▁unavailable", + -12.908201217651367 + ], + [ + "Curtea", + -12.908390045166016 + ], + [ + "▁pores", + -12.908502578735352 + ], + [ + "▁Tonight", + -12.908649444580078 + ], + [ + "▁datori", + -12.90869426727295 + ], + [ + "▁gezielt", + -12.908703804016113 + ], + [ + "▁rupture", + -12.90875244140625 + ], + [ + "▁disput", + -12.908848762512207 + ], + [ + "▁sonstige", + -12.908895492553711 + ], + [ + "▁Ordnung", + -12.90910816192627 + ], + [ + "▁beschrieben", + -12.909114837646484 + ], + [ + "▁Rainbow", + -12.90911865234375 + ], + [ + "▁Werkzeug", + -12.909136772155762 + ], + [ + "GIN", + -12.909354209899902 + ], + [ + "facilitating", + -12.909490585327148 + ], + [ + "hunt", + -12.90955638885498 + ], + [ + "▁Serving", + -12.909673690795898 + ], + [ + "Writ", + -12.909692764282227 + ], + [ + "requisite", + -12.909798622131348 + ], + [ + "▁Kerry", + -12.90989875793457 + ], + [ + "▁riesig", + -12.909957885742188 + ], + [ + "▁Healing", + -12.91030502319336 + ], + [ + "▁1954", + -12.910365104675293 + ], + [ + "▁mousse", + -12.910428047180176 + ], + [ + "▁Positive", + -12.910764694213867 + ], + [ + "embodie", + -12.910772323608398 + ], + [ + "▁penetrate", + -12.910774230957031 + ], + [ + "endorsed", + -12.910882949829102 + ], + [ + "▁situatia", + -12.910927772521973 + ], + [ + "▁Unity", + -12.911083221435547 + ], + [ + "142", + -12.911102294921875 + ], + [ + "▁farmhouse", + -12.911138534545898 + ], + [ + "▁Handbook", + -12.911368370056152 + ], + [ + "▁symbolic", + -12.911378860473633 + ], + [ + "pristine", + -12.911439895629883 + ], + [ + "moitié", + -12.911595344543457 + ], + [ + "▁Sessions", + -12.912017822265625 + ], + [ + "technisch", + -12.912116050720215 + ], + [ + "▁lesquel", + -12.912148475646973 + ], + [ + "▁electronically", + -12.912208557128906 + ], + [ + "▁modificat", + -12.912240982055664 + ], + [ + "▁adjoin", + -12.912242889404297 + ], + [ + "actualité", + -12.912256240844727 + ], + [ + "vati", + -12.91229248046875 + ], + [ + "VENT", + -12.912299156188965 + ], + [ + "▁salsa", + -12.912333488464355 + ], + [ + "acupunctur", + -12.912424087524414 + ], + [ + "▁Opportunity", + -12.912424087524414 + ], + [ + "▁Inspection", + -12.912425994873047 + ], + [ + "▁vereinbart", + -12.912425994873047 + ], + [ + "▁Residents", + -12.912426948547363 + ], + [ + "▁perennial", + -12.91242790222168 + ], + [ + "CHAN", + -12.912555694580078 + ], + [ + "Search", + -12.912572860717773 + ], + [ + "UTE", + -12.912696838378906 + ], + [ + "▁Lens", + -12.912703514099121 + ], + [ + "▁Banner", + -12.91281509399414 + ], + [ + "aménagement", + -12.912839889526367 + ], + [ + "▁Decision", + -12.91286849975586 + ], + [ + "▁ferr", + -12.912869453430176 + ], + [ + "▁Transformation", + -12.912878036499023 + ], + [ + "▁Stamm", + -12.912955284118652 + ], + [ + "▁Galerie", + -12.913003921508789 + ], + [ + "onny", + -12.913126945495605 + ], + [ + "▁caption", + -12.913195610046387 + ], + [ + "▁viitorul", + -12.91323471069336 + ], + [ + "▁professionelle", + -12.913281440734863 + ], + [ + "drepturile", + -12.913294792175293 + ], + [ + "ylon", + -12.913345336914062 + ], + [ + "Société", + -12.913387298583984 + ], + [ + "AIS", + -12.913456916809082 + ], + [ + "March", + -12.91350269317627 + ], + [ + "▁Rav", + -12.91357707977295 + ], + [ + "▁1946", + -12.913691520690918 + ], + [ + "accompagnement", + -12.913713455200195 + ], + [ + "Liviu", + -12.913716316223145 + ], + [ + "▁Appeal", + -12.913826942443848 + ], + [ + "▁sentir", + -12.913952827453613 + ], + [ + "▁Indigenous", + -12.914087295532227 + ], + [ + "▁wizard", + -12.914087295532227 + ], + [ + "▁collateral", + -12.914127349853516 + ], + [ + "▁Proof", + -12.914324760437012 + ], + [ + "▁prze", + -12.914398193359375 + ], + [ + "▁obținut", + -12.91450309753418 + ], + [ + "COP", + -12.914629936218262 + ], + [ + "▁obiect", + -12.914681434631348 + ], + [ + "▁isolate", + -12.914685249328613 + ], + [ + "▁nieder", + -12.914793014526367 + ], + [ + "TECH", + -12.914953231811523 + ], + [ + "▁Sharing", + -12.914998054504395 + ], + [ + "Ideally", + -12.915008544921875 + ], + [ + "▁naked", + -12.915059089660645 + ], + [ + "horaire", + -12.915130615234375 + ], + [ + "▁prelucrare", + -12.915180206298828 + ], + [ + "▁forcément", + -12.915349006652832 + ], + [ + "▁ESPN", + -12.915403366088867 + ], + [ + "▁southwest", + -12.9154634475708 + ], + [ + "▁Timber", + -12.915682792663574 + ], + [ + "kleidung", + -12.915748596191406 + ], + [ + "MJ", + -12.915854454040527 + ], + [ + "Ped", + -12.915889739990234 + ], + [ + "▁lymph", + -12.916181564331055 + ], + [ + "wärme", + -12.916399002075195 + ], + [ + "▁Olivia", + -12.916610717773438 + ], + [ + "Ziua", + -12.916705131530762 + ], + [ + "reihe", + -12.916747093200684 + ], + [ + "▁selfish", + -12.916752815246582 + ], + [ + "▁geography", + -12.916814804077148 + ], + [ + "▁etaj", + -12.916924476623535 + ], + [ + "▁acquis", + -12.91698932647705 + ], + [ + "▁rejoin", + -12.91701602935791 + ], + [ + "7.1", + -12.917097091674805 + ], + [ + "▁paix", + -12.91713809967041 + ], + [ + "tirer", + -12.917284965515137 + ], + [ + "▁clase", + -12.91745662689209 + ], + [ + "▁blink", + -12.917572021484375 + ], + [ + "▁Interface", + -12.917611122131348 + ], + [ + "nado", + -12.917655944824219 + ], + [ + "RIT", + -12.91777515411377 + ], + [ + "ESC", + -12.918120384216309 + ], + [ + "▁carving", + -12.918190002441406 + ], + [ + "▁articolul", + -12.918194770812988 + ], + [ + "▁wreath", + -12.918258666992188 + ], + [ + "▁propaganda", + -12.918266296386719 + ], + [ + "▁Pair", + -12.918267250061035 + ], + [ + "▁pamant", + -12.91831111907959 + ], + [ + "▁venituri", + -12.918357849121094 + ], + [ + "rtz", + -12.91835880279541 + ], + [ + "uddle", + -12.918529510498047 + ], + [ + "uille", + -12.918543815612793 + ], + [ + "▁embed", + -12.918654441833496 + ], + [ + "0.05", + -12.918655395507812 + ], + [ + "▁Brighton", + -12.918718338012695 + ], + [ + "estens", + -12.918742179870605 + ], + [ + "▁occupational", + -12.918862342834473 + ], + [ + "ем", + -12.918890953063965 + ], + [ + "wünsche", + -12.919081687927246 + ], + [ + "▁Poetry", + -12.91909408569336 + ], + [ + "▁visualize", + -12.919109344482422 + ], + [ + "Across", + -12.919121742248535 + ], + [ + "▁essentielle", + -12.919123649597168 + ], + [ + "beratung", + -12.919143676757812 + ], + [ + "▁Guidelines", + -12.91919231414795 + ], + [ + "▁Fehl", + -12.919198036193848 + ], + [ + "▁liberty", + -12.91921329498291 + ], + [ + "▁Investigation", + -12.91922378540039 + ], + [ + "▁sunrise", + -12.919266700744629 + ], + [ + "▁12:00", + -12.919541358947754 + ], + [ + "venind", + -12.919583320617676 + ], + [ + "▁lotion", + -12.919655799865723 + ], + [ + "conscious", + -12.91968822479248 + ], + [ + "logists", + -12.91973876953125 + ], + [ + "▁judecător", + -12.919893264770508 + ], + [ + "▁Ecuador", + -12.919928550720215 + ], + [ + "▁ambulance", + -12.91994857788086 + ], + [ + "▁Already", + -12.920026779174805 + ], + [ + "▁eröffnet", + -12.920090675354004 + ], + [ + "▁naval", + -12.92010498046875 + ], + [ + "▁imposibil", + -12.92011547088623 + ], + [ + "▁Merry", + -12.92011833190918 + ], + [ + "▁Duncan", + -12.920272827148438 + ], + [ + "▁léger", + -12.9203519821167 + ], + [ + "▁delta", + -12.920391082763672 + ], + [ + "▁Machinery", + -12.920578002929688 + ], + [ + "▁craftsmanship", + -12.920766830444336 + ], + [ + "▁angezeigt", + -12.9207763671875 + ], + [ + "▁formidable", + -12.9207763671875 + ], + [ + "▁Startup", + -12.920878410339355 + ], + [ + "venus", + -12.920969009399414 + ], + [ + "▁tannin", + -12.921019554138184 + ], + [ + "collaborating", + -12.921128273010254 + ], + [ + "▁abrupt", + -12.921152114868164 + ], + [ + "emergence", + -12.921171188354492 + ], + [ + "Dienstleistungen", + -12.921197891235352 + ], + [ + "▁liefert", + -12.921217918395996 + ], + [ + "engagement", + -12.921222686767578 + ], + [ + "▁maximise", + -12.921304702758789 + ], + [ + "modeled", + -12.9214448928833 + ], + [ + "▁crane", + -12.92148208618164 + ], + [ + "▁effortless", + -12.921540260314941 + ], + [ + "▁Buffet", + -12.92160701751709 + ], + [ + "8000", + -12.921648979187012 + ], + [ + "▁Überblick", + -12.921687126159668 + ], + [ + "micro", + -12.921981811523438 + ], + [ + "▁vergleichen", + -12.92204475402832 + ], + [ + "143", + -12.922080993652344 + ], + [ + "5.6", + -12.922094345092773 + ], + [ + "▁odata", + -12.922131538391113 + ], + [ + "▁interviu", + -12.922162055969238 + ], + [ + "▁poliţi", + -12.922375679016113 + ], + [ + "plated", + -12.922383308410645 + ], + [ + "Roman", + -12.922406196594238 + ], + [ + "▁satisfactory", + -12.922453880310059 + ], + [ + "▁unanimous", + -12.922459602355957 + ], + [ + "▁întâln", + -12.922464370727539 + ], + [ + "nonsense", + -12.922558784484863 + ], + [ + "▁HOW", + -12.922616004943848 + ], + [ + "prezinta", + -12.922639846801758 + ], + [ + "▁măsura", + -12.9226655960083 + ], + [ + "▁Fuji", + -12.92275619506836 + ], + [ + "▁Meaning", + -12.92278003692627 + ], + [ + "aspiring", + -12.922850608825684 + ], + [ + "▁Suceava", + -12.922863006591797 + ], + [ + "arba", + -12.922983169555664 + ], + [ + "pressive", + -12.922988891601562 + ], + [ + "▁creek", + -12.92301082611084 + ], + [ + "trakt", + -12.923023223876953 + ], + [ + "▁fluffy", + -12.923303604125977 + ], + [ + "▁bateau", + -12.923371315002441 + ], + [ + "ме", + -12.923545837402344 + ], + [ + "UNG", + -12.923609733581543 + ], + [ + "motifs", + -12.923907279968262 + ], + [ + "Type", + -12.923958778381348 + ], + [ + "perçu", + -12.924132347106934 + ], + [ + "singurul", + -12.924139022827148 + ], + [ + "▁(2011)", + -12.92418384552002 + ], + [ + "▁hemp", + -12.924263954162598 + ], + [ + "betroffenen", + -12.92431640625 + ], + [ + "▁sermon", + -12.924369812011719 + ], + [ + "AID", + -12.924545288085938 + ], + [ + "3.7", + -12.924627304077148 + ], + [ + "▁heiß", + -12.92463207244873 + ], + [ + "▁bolnav", + -12.924982070922852 + ], + [ + "First", + -12.924995422363281 + ], + [ + "▁interrupt", + -12.925040245056152 + ], + [ + "phag", + -12.925106048583984 + ], + [ + "235", + -12.925201416015625 + ], + [ + "▁discoveries", + -12.925262451171875 + ], + [ + "▁Wellington", + -12.925263404846191 + ], + [ + "▁wechseln", + -12.925298690795898 + ], + [ + "▁strategically", + -12.925379753112793 + ], + [ + "▁iphone", + -12.925440788269043 + ], + [ + "geteilt", + -12.925646781921387 + ], + [ + "generative", + -12.925748825073242 + ], + [ + "▁Monroe", + -12.925806045532227 + ], + [ + "▁Execut", + -12.925863265991211 + ], + [ + "▁knitting", + -12.925931930541992 + ], + [ + "▁Couple", + -12.925939559936523 + ], + [ + "▁Shade", + -12.926020622253418 + ], + [ + "▁Taj", + -12.926060676574707 + ], + [ + "950", + -12.926077842712402 + ], + [ + "boiled", + -12.92609977722168 + ], + [ + "▁mixes", + -12.926130294799805 + ], + [ + "betroffene", + -12.926156044006348 + ], + [ + "▁continuation", + -12.926169395446777 + ], + [ + "▁begleitet", + -12.926226615905762 + ], + [ + "▁numerical", + -12.926281929016113 + ], + [ + "▁(2013)", + -12.92630386352539 + ], + [ + "▁nourish", + -12.926399230957031 + ], + [ + "oricar", + -12.926485061645508 + ], + [ + "focus", + -12.926486015319824 + ], + [ + "▁Crazy", + -12.926651000976562 + ], + [ + "▁ascend", + -12.926671028137207 + ], + [ + "▁vinde", + -12.926855087280273 + ], + [ + "roar", + -12.926874160766602 + ], + [ + "Vac", + -12.926929473876953 + ], + [ + "▁Zuschauer", + -12.927068710327148 + ], + [ + "izeze", + -12.927179336547852 + ], + [ + "▁Mindest", + -12.92721939086914 + ], + [ + "lingual", + -12.927229881286621 + ], + [ + "▁violet", + -12.927264213562012 + ], + [ + "▁Opfer", + -12.927299499511719 + ], + [ + "ARS", + -12.927431106567383 + ], + [ + "4.7", + -12.92744255065918 + ], + [ + "millennial", + -12.927492141723633 + ], + [ + "▁striv", + -12.927639961242676 + ], + [ + "▁bishop", + -12.927680015563965 + ], + [ + "▁Durham", + -12.927708625793457 + ], + [ + "opathic", + -12.927817344665527 + ], + [ + "Where", + -12.927999496459961 + ], + [ + "▁Rider", + -12.928030014038086 + ], + [ + "▁Reid", + -12.928030967712402 + ], + [ + "stumbled", + -12.928156852722168 + ], + [ + "deep", + -12.92827320098877 + ], + [ + "▁11:00", + -12.928340911865234 + ], + [ + "▁Essex", + -12.928380966186523 + ], + [ + "▁Analyst", + -12.928397178649902 + ], + [ + "feel", + -12.928546905517578 + ], + [ + "▁rave", + -12.928601264953613 + ], + [ + "▁Eddie", + -12.928631782531738 + ], + [ + "▁communiqué", + -12.928756713867188 + ], + [ + "[/", + -12.928791046142578 + ], + [ + "▁Tho", + -12.929011344909668 + ], + [ + "ffentlichkeit", + -12.929019927978516 + ], + [ + "instrument", + -12.929126739501953 + ], + [ + "▁metropolitan", + -12.929179191589355 + ], + [ + "▁experienţ", + -12.929181098937988 + ], + [ + "East", + -12.929198265075684 + ], + [ + "Compared", + -12.929434776306152 + ], + [ + "worn", + -12.929484367370605 + ], + [ + "berufliche", + -12.92966365814209 + ], + [ + "▁Umstände", + -12.929710388183594 + ], + [ + "individuellen", + -12.929901123046875 + ], + [ + "siehe", + -12.929912567138672 + ], + [ + "▁sfarsit", + -12.929969787597656 + ], + [ + "▁Strength", + -12.929999351501465 + ], + [ + "▁prejudice", + -12.930024147033691 + ], + [ + "▁shutdown", + -12.930159568786621 + ], + [ + "chatting", + -12.93022346496582 + ], + [ + "▁Gerne", + -12.930227279663086 + ], + [ + "▁Yum", + -12.930305480957031 + ], + [ + "▁coastline", + -12.930387496948242 + ], + [ + "▁headboard", + -12.930623054504395 + ], + [ + "▁politische", + -12.930768966674805 + ], + [ + "Sub", + -12.930838584899902 + ], + [ + "▁Henderson", + -12.930870056152344 + ], + [ + "▁astonishing", + -12.930870056152344 + ], + [ + "▁Dresden", + -12.930871963500977 + ], + [ + "▁strawberry", + -12.93088436126709 + ], + [ + "prenez", + -12.930889129638672 + ], + [ + "▁Monaco", + -12.930912971496582 + ], + [ + "▁empowered", + -12.930953025817871 + ], + [ + "fäl", + -12.93109130859375 + ], + [ + "▁creier", + -12.931120872497559 + ], + [ + "▁Equ", + -12.931300163269043 + ], + [ + "▁Selling", + -12.931379318237305 + ], + [ + "▁$35", + -12.931483268737793 + ], + [ + "konto", + -12.931503295898438 + ], + [ + "▁Procedure", + -12.931715965270996 + ], + [ + "▁reduziert", + -12.931715965270996 + ], + [ + "▁royalty", + -12.931740760803223 + ], + [ + "wyn", + -12.931756019592285 + ], + [ + "▁Unfall", + -12.932141304016113 + ], + [ + "NAT", + -12.932161331176758 + ], + [ + "▁grafic", + -12.93251895904541 + ], + [ + "▁Collective", + -12.932563781738281 + ], + [ + "▁Computing", + -12.932564735412598 + ], + [ + "▁Established", + -12.932594299316406 + ], + [ + "▁zest", + -12.932598114013672 + ], + [ + "venez", + -12.932611465454102 + ], + [ + "follow", + -12.9326171875 + ], + [ + "▁Motivation", + -12.932640075683594 + ], + [ + "▁dictator", + -12.932755470275879 + ], + [ + "whichever", + -12.93281078338623 + ], + [ + "▁întâmpl", + -12.93293285369873 + ], + [ + "Flüchtling", + -12.932987213134766 + ], + [ + "EMI", + -12.933015823364258 + ], + [ + "404", + -12.933019638061523 + ], + [ + "ICK", + -12.93302059173584 + ], + [ + "emplacement", + -12.933191299438477 + ], + [ + "complete", + -12.933349609375 + ], + [ + "advising", + -12.933412551879883 + ], + [ + "▁Administrative", + -12.933481216430664 + ], + [ + "▁deviation", + -12.933496475219727 + ], + [ + "▁experienț", + -12.933500289916992 + ], + [ + "lethor", + -12.933996200561523 + ], + [ + "▁compress", + -12.934081077575684 + ], + [ + "rival", + -12.934173583984375 + ], + [ + "reprendre", + -12.934186935424805 + ], + [ + "ugi", + -12.934266090393066 + ], + [ + "▁Invitation", + -12.934267044067383 + ], + [ + "▁retina", + -12.934332847595215 + ], + [ + "▁farther", + -12.934335708618164 + ], + [ + "▁fenêtre", + -12.934799194335938 + ], + [ + "6-7", + -12.934815406799316 + ], + [ + "zhou", + -12.934834480285645 + ], + [ + "▁Piano", + -12.934840202331543 + ], + [ + "▁Congrats", + -12.935114860534668 + ], + [ + "▁Configur", + -12.935131072998047 + ], + [ + "▁superficial", + -12.935179710388184 + ], + [ + "▁melting", + -12.935315132141113 + ], + [ + "▁raspunde", + -12.935626983642578 + ], + [ + "▁drip", + -12.93564224243164 + ], + [ + "östlich", + -12.9358491897583 + ], + [ + "189", + -12.935925483703613 + ], + [ + "▁Ludwig", + -12.935959815979004 + ], + [ + "▁keto", + -12.935985565185547 + ], + [ + "▁Bogdan", + -12.936013221740723 + ], + [ + "▁contracted", + -12.936029434204102 + ], + [ + "▁revive", + -12.936100006103516 + ], + [ + "▁cristal", + -12.936232566833496 + ], + [ + "▁mailbox", + -12.936257362365723 + ], + [ + "președintele", + -12.936559677124023 + ], + [ + "▁seekers", + -12.936627388000488 + ], + [ + "func", + -12.936904907226562 + ], + [ + "▁Markus", + -12.93691349029541 + ], + [ + "Unter", + -12.936923027038574 + ], + [ + "▁übertragen", + -12.937003135681152 + ], + [ + "▁adaptive", + -12.937024116516113 + ], + [ + "caster", + -12.937051773071289 + ], + [ + "▁geek", + -12.937164306640625 + ], + [ + "▁réservation", + -12.937236785888672 + ], + [ + "▁irritation", + -12.937240600585938 + ], + [ + "▁HDMI", + -12.937346458435059 + ], + [ + "Seeing", + -12.937485694885254 + ], + [ + "▁genul", + -12.937569618225098 + ], + [ + "▁catastrophe", + -12.937662124633789 + ], + [ + "▁Tweet", + -12.937665939331055 + ], + [ + "TZ", + -12.937729835510254 + ], + [ + "▁credible", + -12.937946319580078 + ], + [ + "▁cobor", + -12.938064575195312 + ], + [ + "▁realizeaz", + -12.938159942626953 + ], + [ + "journal", + -12.938274383544922 + ], + [ + "▁shaking", + -12.938532829284668 + ], + [ + "3-6", + -12.938572883605957 + ], + [ + "▁beneficiaz", + -12.938605308532715 + ], + [ + "▁Frankreich", + -12.938633918762207 + ], + [ + "committing", + -12.9386568069458 + ], + [ + "AMS", + -12.938835144042969 + ], + [ + "▁Feli", + -12.939007759094238 + ], + [ + "▁Producer", + -12.939023971557617 + ], + [ + "▁übrig", + -12.93940544128418 + ], + [ + "gemeinde", + -12.939593315124512 + ], + [ + "should", + -12.939799308776855 + ], + [ + "▁neurons", + -12.939799308776855 + ], + [ + "▁Agenda", + -12.939833641052246 + ], + [ + "▁hashtag", + -12.939896583557129 + ], + [ + "▁confortabil", + -12.939897537231445 + ], + [ + "520", + -12.940008163452148 + ], + [ + "bonded", + -12.940033912658691 + ], + [ + "▁următoare", + -12.940191268920898 + ], + [ + "▁volatile", + -12.940223693847656 + ], + [ + "infamous", + -12.940225601196289 + ], + [ + "seară", + -12.940229415893555 + ], + [ + "▁Sorge", + -12.940346717834473 + ], + [ + "▁Beiträge", + -12.940420150756836 + ], + [ + "▁îndeplin", + -12.940449714660645 + ], + [ + "gespräch", + -12.940649032592773 + ], + [ + "▁joueur", + -12.940701484680176 + ], + [ + "▁outsourcing", + -12.940701484680176 + ], + [ + "▁Guvernul", + -12.940814018249512 + ], + [ + "6-2", + -12.940818786621094 + ], + [ + "▁prioritize", + -12.941068649291992 + ], + [ + "▁duminică", + -12.941076278686523 + ], + [ + "▁resignation", + -12.941076278686523 + ], + [ + "▁Converter", + -12.941079139709473 + ], + [ + "hereby", + -12.941155433654785 + ], + [ + "▁stresses", + -12.941299438476562 + ], + [ + "▁brun", + -12.941415786743164 + ], + [ + "▁elev", + -12.941423416137695 + ], + [ + "▁Skip", + -12.941479682922363 + ], + [ + "540", + -12.941499710083008 + ], + [ + "TURE", + -12.941603660583496 + ], + [ + "▁Lynch", + -12.941635131835938 + ], + [ + "▁preveni", + -12.941643714904785 + ], + [ + "compatible", + -12.941692352294922 + ], + [ + "surveyed", + -12.941702842712402 + ], + [ + "▁Ausnahme", + -12.941713333129883 + ], + [ + "▁medicul", + -12.941812515258789 + ], + [ + "▁subtil", + -12.941865921020508 + ], + [ + "▁Quali", + -12.941890716552734 + ], + [ + "▁techno", + -12.941900253295898 + ], + [ + "presently", + -12.94193172454834 + ], + [ + "▁Müller", + -12.941934585571289 + ], + [ + "DIRECT", + -12.941937446594238 + ], + [ + "schuld", + -12.941944122314453 + ], + [ + "▁Bloomberg", + -12.941994667053223 + ], + [ + "feuer", + -12.942181587219238 + ], + [ + "▁Pharmacy", + -12.942270278930664 + ], + [ + "▁Schnitt", + -12.942301750183105 + ], + [ + "186", + -12.942333221435547 + ], + [ + "peaks", + -12.942355155944824 + ], + [ + "▁Gemeinsam", + -12.94235897064209 + ], + [ + "▁récemment", + -12.94235897064209 + ], + [ + "▁Pascal", + -12.942490577697754 + ], + [ + "filmed", + -12.942523956298828 + ], + [ + "RCA", + -12.942548751831055 + ], + [ + "▁virtuelle", + -12.942622184753418 + ], + [ + "▁dotat", + -12.942630767822266 + ], + [ + "logisch", + -12.942717552185059 + ], + [ + "▁Luck", + -12.943005561828613 + ], + [ + "cosy", + -12.943132400512695 + ], + [ + "▁Awareness", + -12.943216323852539 + ], + [ + "▁gesetzlich", + -12.943263053894043 + ], + [ + "padded", + -12.943306922912598 + ], + [ + "▁Lotus", + -12.943395614624023 + ], + [ + "urging", + -12.9434175491333 + ], + [ + "▁mushroom", + -12.943426132202148 + ], + [ + "▁adultes", + -12.943527221679688 + ], + [ + "▁Coca", + -12.943571090698242 + ], + [ + "▁recev", + -12.943586349487305 + ], + [ + "▁mantra", + -12.943610191345215 + ], + [ + "▁practise", + -12.943644523620605 + ], + [ + "▁acceler", + -12.943663597106934 + ], + [ + "bolster", + -12.943756103515625 + ], + [ + "▁compressed", + -12.943818092346191 + ], + [ + "TIN", + -12.943899154663086 + ], + [ + "▁aromatic", + -12.944236755371094 + ], + [ + "geleitet", + -12.944408416748047 + ], + [ + "▁fibr", + -12.944443702697754 + ], + [ + "exécut", + -12.94444751739502 + ], + [ + "▁unconscious", + -12.94456958770752 + ], + [ + "HAR", + -12.944607734680176 + ], + [ + "▁Gregory", + -12.944661140441895 + ], + [ + "▁Manila", + -12.944738388061523 + ], + [ + "ozitate", + -12.944756507873535 + ], + [ + "exemplary", + -12.944803237915039 + ], + [ + "éventuel", + -12.944906234741211 + ], + [ + "▁Craciun", + -12.944930076599121 + ], + [ + "▁tehnologii", + -12.944931030273438 + ], + [ + "▁Despre", + -12.945138931274414 + ], + [ + "▁1917", + -12.945141792297363 + ], + [ + "▁upfront", + -12.945146560668945 + ], + [ + "▁Iulia", + -12.945280075073242 + ], + [ + "▁erwähnt", + -12.945359230041504 + ], + [ + "▁magnesium", + -12.945359230041504 + ], + [ + "▁descriptive", + -12.94536304473877 + ], + [ + "▁consumul", + -12.945364952087402 + ], + [ + "▁10-15", + -12.945423126220703 + ], + [ + "▁erfüllen", + -12.945611953735352 + ], + [ + "gig", + -12.945657730102539 + ], + [ + "430", + -12.945765495300293 + ], + [ + "▁Migration", + -12.945789337158203 + ], + [ + "bră", + -12.94579029083252 + ], + [ + "▁réforme", + -12.945863723754883 + ], + [ + "▁york", + -12.94610595703125 + ], + [ + "dritten", + -12.946109771728516 + ], + [ + "cumva", + -12.946182250976562 + ], + [ + "▁Alumni", + -12.946218490600586 + ], + [ + "▁Ceramic", + -12.946222305297852 + ], + [ + "▁rappelle", + -12.946236610412598 + ], + [ + "▁pianist", + -12.946248054504395 + ], + [ + "twisted", + -12.946306228637695 + ], + [ + "earned", + -12.946432113647461 + ], + [ + "▁Hose", + -12.946514129638672 + ], + [ + "156", + -12.946610450744629 + ], + [ + "▁Salmon", + -12.946687698364258 + ], + [ + "Level", + -12.946913719177246 + ], + [ + "▁swirl", + -12.947052001953125 + ], + [ + "erfahrung", + -12.947061538696289 + ], + [ + "▁liabilities", + -12.947078704833984 + ], + [ + "praxis", + -12.9470853805542 + ], + [ + "IPO", + -12.947089195251465 + ], + [ + "▁screaming", + -12.947092056274414 + ], + [ + "emphasized", + -12.947200775146484 + ], + [ + "DEA", + -12.947260856628418 + ], + [ + "▁dermatolog", + -12.947351455688477 + ], + [ + "▁pacate", + -12.947498321533203 + ], + [ + "▁ansamblu", + -12.947507858276367 + ], + [ + "▁beteiligt", + -12.947509765625 + ], + [ + "▁Needles", + -12.947574615478516 + ], + [ + "▁organisiert", + -12.947607040405273 + ], + [ + "Pacific", + -12.947639465332031 + ], + [ + "actual", + -12.947823524475098 + ], + [ + "prindere", + -12.94801139831543 + ], + [ + "▁Indoor", + -12.948348045349121 + ], + [ + "▁Gewalt", + -12.948431015014648 + ], + [ + "▁rezid", + -12.948507308959961 + ], + [ + "censor", + -12.948522567749023 + ], + [ + "▁unlawful", + -12.94882869720459 + ], + [ + "▁Explain", + -12.948873519897461 + ], + [ + "▁Flame", + -12.948897361755371 + ], + [ + "▁brachte", + -12.948941230773926 + ], + [ + "▁Mustang", + -12.94899845123291 + ], + [ + "ectomy", + -12.949044227600098 + ], + [ + "▁deliberate", + -12.949064254760742 + ], + [ + "▁sparkle", + -12.949225425720215 + ], + [ + "▁inchis", + -12.94926929473877 + ], + [ + "▁Cristian", + -12.949289321899414 + ], + [ + "▁facture", + -12.949291229248047 + ], + [ + "▁Grundstück", + -12.949292182922363 + ], + [ + "außerhalb", + -12.949300765991211 + ], + [ + "coast", + -12.949321746826172 + ], + [ + "anilor", + -12.949396133422852 + ], + [ + "255", + -12.94952392578125 + ], + [ + "nterdisciplinary", + -12.949576377868652 + ], + [ + "▁Isabel", + -12.949655532836914 + ], + [ + "▁Städte", + -12.949701309204102 + ], + [ + "▁cicl", + -12.949837684631348 + ], + [ + "▁Zeug", + -12.949905395507812 + ], + [ + "▁Muskel", + -12.949951171875 + ], + [ + "▁indirectly", + -12.950051307678223 + ], + [ + "▁Vorbereitung", + -12.950093269348145 + ], + [ + "MMA", + -12.95012378692627 + ], + [ + "▁pudding", + -12.950197219848633 + ], + [ + "rax", + -12.950389862060547 + ], + [ + "▁Stimmung", + -12.95052433013916 + ], + [ + "▁hierarchy", + -12.95052433013916 + ], + [ + "partie", + -12.950597763061523 + ], + [ + "▁elevate", + -12.950685501098633 + ], + [ + "▁Persian", + -12.950690269470215 + ], + [ + "forensic", + -12.95077896118164 + ], + [ + "Become", + -12.950854301452637 + ], + [ + "leicht", + -12.9508695602417 + ], + [ + "▁staging", + -12.950942039489746 + ], + [ + "▁fühlt", + -12.950965881347656 + ], + [ + "fenster", + -12.950979232788086 + ], + [ + "▁unbelievable", + -12.951089859008789 + ], + [ + "„", + -12.951260566711426 + ], + [ + "▁Guatemala", + -12.951387405395508 + ], + [ + "LET", + -12.95141315460205 + ], + [ + "▁buff", + -12.951454162597656 + ], + [ + "▁Primul", + -12.951626777648926 + ], + [ + "▁mainland", + -12.951702117919922 + ], + [ + "campus", + -12.951923370361328 + ], + [ + "▁gefällt", + -12.952075958251953 + ], + [ + "BAN", + -12.952153205871582 + ], + [ + "finish", + -12.952229499816895 + ], + [ + "accustomed", + -12.952251434326172 + ], + [ + "▁Businesses", + -12.95234203338623 + ], + [ + "▁întreb", + -12.95239543914795 + ], + [ + "▁recomandă", + -12.952425956726074 + ], + [ + "▁pellet", + -12.952474594116211 + ], + [ + "▁GST", + -12.952507972717285 + ], + [ + "SEA", + -12.952601432800293 + ], + [ + "▁categorie", + -12.952631950378418 + ], + [ + "▁convainc", + -12.95268440246582 + ], + [ + "▁considéré", + -12.952739715576172 + ], + [ + "rois", + -12.952853202819824 + ], + [ + "▁thrust", + -12.952898979187012 + ], + [ + "ijk", + -12.953001022338867 + ], + [ + "gefüllt", + -12.953118324279785 + ], + [ + "▁situatii", + -12.953327178955078 + ], + [ + "▁Jacksonville", + -12.95337200164795 + ], + [ + "▁bakery", + -12.953473091125488 + ], + [ + "▁Accident", + -12.953554153442383 + ], + [ + "▁urmeaza", + -12.953572273254395 + ], + [ + "▁crib", + -12.953593254089355 + ], + [ + "getroffen", + -12.953707695007324 + ], + [ + "Based", + -12.953877449035645 + ], + [ + "Including", + -12.95398235321045 + ], + [ + "▁Morocco", + -12.95398235321045 + ], + [ + "▁casserole", + -12.95398235321045 + ], + [ + "▁enquiry", + -12.953983306884766 + ], + [ + "▁pahar", + -12.954017639160156 + ], + [ + "▁Unternehmer", + -12.954025268554688 + ], + [ + "électro", + -12.954068183898926 + ], + [ + "Marie", + -12.95413589477539 + ], + [ + "▁Sno", + -12.954153060913086 + ], + [ + "▁prostate", + -12.954168319702148 + ], + [ + "▁Wallace", + -12.95426082611084 + ], + [ + "empre", + -12.954402923583984 + ], + [ + "▁Multumesc", + -12.954415321350098 + ], + [ + "White", + -12.954675674438477 + ], + [ + "brief", + -12.954751014709473 + ], + [ + "▁kitten", + -12.954751014709473 + ], + [ + "füh", + -12.954780578613281 + ], + [ + "▁mankind", + -12.954821586608887 + ], + [ + "ENE", + -12.95483112335205 + ], + [ + "▁Ethics", + -12.954848289489746 + ], + [ + "▁Realty", + -12.954946517944336 + ], + [ + "▁Emerg", + -12.954988479614258 + ], + [ + "7-8", + -12.955055236816406 + ], + [ + "museum", + -12.955096244812012 + ], + [ + "BRE", + -12.95518970489502 + ], + [ + "▁kilometri", + -12.955282211303711 + ], + [ + "oyaume", + -12.955286026000977 + ], + [ + "▁Cambodia", + -12.955288887023926 + ], + [ + "▁bruit", + -12.955304145812988 + ], + [ + "▁sépar", + -12.955334663391113 + ], + [ + "mastered", + -12.9554443359375 + ], + [ + "shake", + -12.955608367919922 + ], + [ + "▁liaison", + -12.955718994140625 + ], + [ + "▁Boulder", + -12.955719947814941 + ], + [ + "▁tortilla", + -12.955720901489258 + ], + [ + "▁Fokus", + -12.955731391906738 + ], + [ + "▁Blair", + -12.95573902130127 + ], + [ + "▁disturbance", + -12.955775260925293 + ], + [ + "geladen", + -12.955843925476074 + ], + [ + "▁sunscreen", + -12.955886840820312 + ], + [ + "▁reuș", + -12.955896377563477 + ], + [ + "▁Braun", + -12.956155776977539 + ], + [ + "▁existente", + -12.956157684326172 + ], + [ + "stift", + -12.956242561340332 + ], + [ + "▁preot", + -12.956387519836426 + ], + [ + "▁doved", + -12.956445693969727 + ], + [ + "sexual", + -12.956488609313965 + ], + [ + "meanwhile", + -12.956583976745605 + ], + [ + "▁legislature", + -12.956583976745605 + ], + [ + "▁vermeiden", + -12.956583976745605 + ], + [ + "▁inequality", + -12.95687484741211 + ], + [ + "▁turc", + -12.956881523132324 + ], + [ + "ви", + -12.95698070526123 + ], + [ + "▁Kontrolle", + -12.95702075958252 + ], + [ + "▁Ursache", + -12.95704174041748 + ], + [ + "▁confess", + -12.95704174041748 + ], + [ + "▁poetic", + -12.957109451293945 + ], + [ + "attention", + -12.957236289978027 + ], + [ + "textured", + -12.957386016845703 + ], + [ + "GES", + -12.957586288452148 + ], + [ + "6-4", + -12.957637786865234 + ], + [ + "Ray", + -12.957696914672852 + ], + [ + "chromat", + -12.957745552062988 + ], + [ + "▁insightful", + -12.957775115966797 + ], + [ + "▁Navigation", + -12.957887649536133 + ], + [ + "▁destiny", + -12.957887649536133 + ], + [ + "▁ergeben", + -12.957892417907715 + ], + [ + "▁versteh", + -12.958090782165527 + ], + [ + "301", + -12.958209037780762 + ], + [ + "▁Exterior", + -12.958321571350098 + ], + [ + "église", + -12.958322525024414 + ], + [ + "▁Failure", + -12.958322525024414 + ], + [ + "▁Patricia", + -12.958324432373047 + ], + [ + "▁geschützt", + -12.958328247070312 + ], + [ + "intrarea", + -12.95833969116211 + ], + [ + "▁Forward", + -12.958368301391602 + ], + [ + "▁Portrait", + -12.95844841003418 + ], + [ + "▁enregistré", + -12.958480834960938 + ], + [ + "▁wagon", + -12.958620071411133 + ], + [ + "stealing", + -12.958879470825195 + ], + [ + "▁Numero", + -12.958880424499512 + ], + [ + "▁tradui", + -12.958986282348633 + ], + [ + "▁klassische", + -12.959033966064453 + ], + [ + "▁profitieren", + -12.959043502807617 + ], + [ + "▁laboratories", + -12.95919132232666 + ], + [ + "▁reconnaissance", + -12.95919132232666 + ], + [ + "ку", + -12.959314346313477 + ], + [ + "▁Petersburg", + -12.959359169006348 + ], + [ + "▁fertility", + -12.959421157836914 + ], + [ + "▁Understand", + -12.959516525268555 + ], + [ + "dehors", + -12.959746360778809 + ], + [ + "▁Knox", + -12.959762573242188 + ], + [ + "software", + -12.959797859191895 + ], + [ + "▁Celebration", + -12.959823608398438 + ], + [ + "4.6", + -12.959897994995117 + ], + [ + "quino", + -12.959930419921875 + ], + [ + "▁endeavour", + -12.960073471069336 + ], + [ + "▁temptation", + -12.960136413574219 + ], + [ + "▁Registry", + -12.96035385131836 + ], + [ + "IMP", + -12.960502624511719 + ], + [ + "bedingt", + -12.960625648498535 + ], + [ + "▁$60", + -12.960846900939941 + ], + [ + "▁Kriterien", + -12.96093463897705 + ], + [ + "▁strawberries", + -12.960943222045898 + ], + [ + "▁conspiracy", + -12.96094799041748 + ], + [ + "▁pouch", + -12.960976600646973 + ], + [ + "▁Alexandria", + -12.961017608642578 + ], + [ + "▁Mick", + -12.961102485656738 + ], + [ + "extra", + -12.961114883422852 + ], + [ + "▁Operator", + -12.961151123046875 + ], + [ + "enduring", + -12.96132755279541 + ], + [ + "▁smash", + -12.961359024047852 + ], + [ + "Euro", + -12.961360931396484 + ], + [ + "▁Nouvelle", + -12.961370468139648 + ], + [ + "▁Raspberry", + -12.961370468139648 + ], + [ + "▁präsentieren", + -12.961380004882812 + ], + [ + "▁electrician", + -12.961404800415039 + ], + [ + "▁cheerful", + -12.961472511291504 + ], + [ + "▁chargé", + -12.961508750915527 + ], + [ + "▁Diskussion", + -12.961511611938477 + ], + [ + "▁surpass", + -12.961604118347168 + ], + [ + "▁Acces", + -12.961701393127441 + ], + [ + "tausend", + -12.961771011352539 + ], + [ + "▁vigorous", + -12.961808204650879 + ], + [ + "▁tava", + -12.961810111999512 + ], + [ + "CHO", + -12.96193790435791 + ], + [ + "▁1951", + -12.961941719055176 + ], + [ + "▁Umsatz", + -12.962019920349121 + ], + [ + "▁slavery", + -12.962055206298828 + ], + [ + "travel", + -12.962294578552246 + ], + [ + "▁correspondent", + -12.962297439575195 + ], + [ + "▁$150", + -12.962307929992676 + ], + [ + "▁stärker", + -12.962594985961914 + ], + [ + "Alb", + -12.96264362335205 + ], + [ + "▁Lopez", + -12.962682723999023 + ], + [ + "▁longueur", + -12.962767601013184 + ], + [ + "▁successive", + -12.962772369384766 + ], + [ + "▁(2015)", + -12.96278190612793 + ], + [ + "teig", + -12.962790489196777 + ], + [ + "custom", + -12.962944984436035 + ], + [ + "TIM", + -12.963099479675293 + ], + [ + "▁Escape", + -12.963174819946289 + ], + [ + "▁Sekunden", + -12.963349342346191 + ], + [ + "tiré", + -12.963444709777832 + ], + [ + "▁chantier", + -12.963489532470703 + ], + [ + "▁saturated", + -12.963555335998535 + ], + [ + "▁confrontation", + -12.963804244995117 + ], + [ + "▁biography", + -12.963805198669434 + ], + [ + "zuerst", + -12.9639892578125 + ], + [ + "▁rencontré", + -12.963991165161133 + ], + [ + "▁harmless", + -12.96412181854248 + ], + [ + "Branche", + -12.964139938354492 + ], + [ + "▁QR", + -12.964380264282227 + ], + [ + "▁Ereignis", + -12.964430809020996 + ], + [ + "▁verkaufen", + -12.96444320678711 + ], + [ + "0:00", + -12.96451187133789 + ], + [ + "Association", + -12.96469783782959 + ], + [ + "▁Santiago", + -12.964865684509277 + ], + [ + "Control", + -12.964993476867676 + ], + [ + "▁Angriff", + -12.9650297164917 + ], + [ + "lase", + -12.96505069732666 + ], + [ + "▁sfaturi", + -12.965224266052246 + ], + [ + "▁Comprehensive", + -12.965304374694824 + ], + [ + "▁Shepherd", + -12.965304374694824 + ], + [ + "▁exponential", + -12.965304374694824 + ], + [ + "▁penetration", + -12.965304374694824 + ], + [ + "▁comble", + -12.965394973754883 + ], + [ + "ionar", + -12.965557098388672 + ], + [ + "slept", + -12.965563774108887 + ], + [ + "▁Spice", + -12.965633392333984 + ], + [ + "mAh", + -12.965688705444336 + ], + [ + "▁Vertreter", + -12.965747833251953 + ], + [ + "fehler", + -12.965752601623535 + ], + [ + "▁Scroll", + -12.96599292755127 + ], + [ + "▁WARRANT", + -12.966179847717285 + ], + [ + "▁minimise", + -12.966326713562012 + ], + [ + "▁Dept", + -12.966474533081055 + ], + [ + "▁urinar", + -12.96661376953125 + ], + [ + "établir", + -12.966619491577148 + ], + [ + "verhältnis", + -12.966713905334473 + ], + [ + "▁glowing", + -12.966979026794434 + ], + [ + "kulturelle", + -12.966984748840332 + ], + [ + "▁Pediatric", + -12.967057228088379 + ], + [ + "▁inconvenience", + -12.967057228088379 + ], + [ + "Antoine", + -12.967121124267578 + ], + [ + "▁Heck", + -12.967164993286133 + ], + [ + "▁couches", + -12.967265129089355 + ], + [ + "▁1938", + -12.967331886291504 + ], + [ + "maybe", + -12.967333793640137 + ], + [ + "ETA", + -12.9673433303833 + ], + [ + "▁solaire", + -12.96748161315918 + ], + [ + "▁Zürich", + -12.967495918273926 + ], + [ + "computer", + -12.967545509338379 + ], + [ + "milk", + -12.96756362915039 + ], + [ + "он", + -12.967585563659668 + ], + [ + "modalitate", + -12.967608451843262 + ], + [ + "spanning", + -12.967655181884766 + ], + [ + "▁Crypto", + -12.96774959564209 + ], + [ + "▁Spotify", + -12.967935562133789 + ], + [ + "mycin", + -12.967944145202637 + ], + [ + "▁similarities", + -12.96811294555664 + ], + [ + "▁eclipse", + -12.968377113342285 + ], + [ + "Map", + -12.968610763549805 + ], + [ + "double", + -12.96861743927002 + ], + [ + "corporate", + -12.968734741210938 + ], + [ + "▁Hindi", + -12.968853950500488 + ], + [ + "battling", + -12.968866348266602 + ], + [ + "▁habituel", + -12.969098091125488 + ], + [ + "▁Transition", + -12.969196319580078 + ], + [ + "▁luptă", + -12.96920394897461 + ], + [ + "▁trainee", + -12.969219207763672 + ], + [ + "LIS", + -12.96922492980957 + ], + [ + "▁Vatican", + -12.969254493713379 + ], + [ + "Archived", + -12.9692964553833 + ], + [ + "Connect", + -12.969305038452148 + ], + [ + "▁prealabil", + -12.969307899475098 + ], + [ + "▁Chambre", + -12.969327926635742 + ], + [ + "stuhl", + -12.969440460205078 + ], + [ + "▁arrivé", + -12.969557762145996 + ], + [ + "▁Urteil", + -12.969575881958008 + ], + [ + "▁scrutiny", + -12.969818115234375 + ], + [ + "▁memoir", + -12.969854354858398 + ], + [ + "▁innovant", + -12.9699068069458 + ], + [ + "▁sublime", + -12.969943046569824 + ], + [ + "children", + -12.970004081726074 + ], + [ + "▁Handwerk", + -12.970056533813477 + ], + [ + "▁campuses", + -12.970268249511719 + ], + [ + "▁durabil", + -12.970502853393555 + ], + [ + "▁immersive", + -12.970632553100586 + ], + [ + "▁Magnet", + -12.970732688903809 + ], + [ + "läufe", + -12.970808029174805 + ], + [ + "▁Techno", + -12.970837593078613 + ], + [ + "MAP", + -12.9710693359375 + ], + [ + "7.2", + -12.971145629882812 + ], + [ + "▁Schwimm", + -12.971181869506836 + ], + [ + "BOOK", + -12.971186637878418 + ], + [ + "188", + -12.971441268920898 + ], + [ + "▁Supervisor", + -12.971498489379883 + ], + [ + "prévue", + -12.971691131591797 + ], + [ + "needed", + -12.971813201904297 + ], + [ + "▁creditors", + -12.971822738647461 + ], + [ + "▁brin", + -12.971837043762207 + ], + [ + "▁Neck", + -12.971900939941406 + ], + [ + "▁Salut", + -12.971988677978516 + ], + [ + "▁despair", + -12.972105979919434 + ], + [ + "▁Sauce", + -12.972261428833008 + ], + [ + "▁Westminster", + -12.972335815429688 + ], + [ + "▁langfristig", + -12.972335815429688 + ], + [ + "▁northeast", + -12.972365379333496 + ], + [ + "▁încercat", + -12.972399711608887 + ], + [ + "▁nausea", + -12.972408294677734 + ], + [ + "▁Paypal", + -12.972440719604492 + ], + [ + "▁Arrow", + -12.972469329833984 + ], + [ + "▁Travis", + -12.972633361816406 + ], + [ + "(2009)", + -12.972713470458984 + ], + [ + "▁Rising", + -12.972719192504883 + ], + [ + "termes", + -12.973097801208496 + ], + [ + "Australie", + -12.973154067993164 + ], + [ + "▁scarf", + -12.973187446594238 + ], + [ + "klassischen", + -12.97337818145752 + ], + [ + "▁boug", + -12.973466873168945 + ], + [ + "DOT", + -12.97360610961914 + ], + [ + "▁Trink", + -12.97361946105957 + ], + [ + "▁bestätigt", + -12.97365951538086 + ], + [ + "▁officiel", + -12.97370433807373 + ], + [ + "Produkt", + -12.973873138427734 + ], + [ + "DNA", + -12.974140167236328 + ], + [ + "▁*******", + -12.97426700592041 + ], + [ + "GAR", + -12.974271774291992 + ], + [ + "therapeut", + -12.974377632141113 + ], + [ + "187", + -12.974420547485352 + ], + [ + "▁Louisville", + -12.974493026733398 + ], + [ + "▁geöffnet", + -12.97462272644043 + ], + [ + "Watch", + -12.974640846252441 + ], + [ + "85%", + -12.974678993225098 + ], + [ + "▁Candida", + -12.974698066711426 + ], + [ + "▁Kathy", + -12.974703788757324 + ], + [ + "▁Animation", + -12.974711418151855 + ], + [ + "planung", + -12.974715232849121 + ], + [ + "woche", + -12.974730491638184 + ], + [ + "Video", + -12.974966049194336 + ], + [ + "▁Automation", + -12.97507095336914 + ], + [ + "▁foliage", + -12.97507381439209 + ], + [ + "▁evenimentului", + -12.975175857543945 + ], + [ + "SEN", + -12.975362777709961 + ], + [ + "▁Dialog", + -12.975372314453125 + ], + [ + "▁ZIP", + -12.975372314453125 + ], + [ + "▁vieții", + -12.97537612915039 + ], + [ + "▁passionné", + -12.975425720214844 + ], + [ + "▁WOW", + -12.97544002532959 + ], + [ + "ectiv", + -12.975464820861816 + ], + [ + "▁vorbesc", + -12.975482940673828 + ], + [ + "▁computational", + -12.975533485412598 + ], + [ + "▁idiot", + -12.97557258605957 + ], + [ + "▁stigma", + -12.97567081451416 + ], + [ + "▁multumesc", + -12.975870132446289 + ], + [ + "▁sărbători", + -12.975870132446289 + ], + [ + "▁Advantage", + -12.975906372070312 + ], + [ + "▁alegeri", + -12.976024627685547 + ], + [ + "▁philosopher", + -12.976031303405762 + ], + [ + "RIE", + -12.976117134094238 + ], + [ + "refundable", + -12.976221084594727 + ], + [ + "▁Sofia", + -12.97623348236084 + ], + [ + "▁încheiat", + -12.976313591003418 + ], + [ + "meilleures", + -12.976473808288574 + ], + [ + "critical", + -12.976744651794434 + ], + [ + "▁cavity", + -12.976766586303711 + ], + [ + "▁ressort", + -12.976792335510254 + ], + [ + "strong", + -12.976798057556152 + ], + [ + "▁Backup", + -12.976948738098145 + ], + [ + "▁Zeitraum", + -12.977023124694824 + ], + [ + "▁Szene", + -12.977027893066406 + ], + [ + "▁Candle", + -12.977173805236816 + ], + [ + "▁ciocolat", + -12.977198600769043 + ], + [ + "etched", + -12.977227210998535 + ], + [ + "ан", + -12.977302551269531 + ], + [ + "▁Anchor", + -12.977365493774414 + ], + [ + "equate", + -12.977470397949219 + ], + [ + "▁bulg", + -12.977476119995117 + ], + [ + "▁motorist", + -12.977524757385254 + ], + [ + "träglich", + -12.977736473083496 + ], + [ + "please", + -12.977936744689941 + ], + [ + "different", + -12.978011131286621 + ], + [ + "▁Accel", + -12.97813606262207 + ], + [ + "Proiectul", + -12.97829818725586 + ], + [ + "▁cabbage", + -12.97852897644043 + ], + [ + "▁télécharger", + -12.97852897644043 + ], + [ + "▁Presentation", + -12.97856330871582 + ], + [ + "▁Struktur", + -12.978621482849121 + ], + [ + "bücher", + -12.978650093078613 + ], + [ + "▁flatter", + -12.978672981262207 + ], + [ + "emprunt", + -12.979074478149414 + ], + [ + "▁oriental", + -12.979111671447754 + ], + [ + "▁Turnier", + -12.979166984558105 + ], + [ + "brücke", + -12.97917366027832 + ], + [ + "▁légumes", + -12.979416847229004 + ], + [ + "gerechnet", + -12.979595184326172 + ], + [ + "flooded", + -12.979621887207031 + ], + [ + "LER", + -12.979679107666016 + ], + [ + "üben", + -12.97973918914795 + ], + [ + "internaute", + -12.979888916015625 + ], + [ + "▁Austausch", + -12.979935646057129 + ], + [ + "gefordert", + -12.980034828186035 + ], + [ + "▁adoptat", + -12.980277061462402 + ], + [ + "▁erinnern", + -12.980305671691895 + ], + [ + "▁dolphin", + -12.980307579040527 + ], + [ + "▁Parkinson", + -12.980308532714844 + ], + [ + "büro", + -12.980310440063477 + ], + [ + "▁Crest", + -12.980368614196777 + ], + [ + "▁Ikea", + -12.980437278747559 + ], + [ + "▁ecologic", + -12.980470657348633 + ], + [ + "mplă", + -12.98065185546875 + ], + [ + "▁șef", + -12.980655670166016 + ], + [ + "coop", + -12.980868339538574 + ], + [ + "▁Carson", + -12.980900764465332 + ], + [ + "▁uşor", + -12.981054306030273 + ], + [ + "▁exert", + -12.981070518493652 + ], + [ + "▁countertop", + -12.981114387512207 + ], + [ + "ntended", + -12.981136322021484 + ], + [ + "▁Civic", + -12.981313705444336 + ], + [ + "▁attentes", + -12.98133373260498 + ], + [ + "gesetzlichen", + -12.981356620788574 + ], + [ + "frischen", + -12.981475830078125 + ], + [ + "▁Bottle", + -12.981636047363281 + ], + [ + "▁cautare", + -12.982080459594727 + ], + [ + "▁waterfront", + -12.982226371765137 + ], + [ + "▁centerpiece", + -12.982312202453613 + ], + [ + "▁Castel", + -12.982441902160645 + ], + [ + "510", + -12.98270034790039 + ], + [ + "capped", + -12.982709884643555 + ], + [ + "▁mattresses", + -12.982850074768066 + ], + [ + "▁readiness", + -12.982865333557129 + ], + [ + "diag", + -12.982970237731934 + ], + [ + "▁geändert", + -12.982980728149414 + ], + [ + "▁complained", + -12.983051300048828 + ], + [ + "▁diary", + -12.983073234558105 + ], + [ + "▁ceremonies", + -12.983144760131836 + ], + [ + "▁următor", + -12.983181953430176 + ], + [ + "▁Engel", + -12.983270645141602 + ], + [ + "▁disconnect", + -12.9832763671875 + ], + [ + "▁Silvi", + -12.983282089233398 + ], + [ + "▁eingerichtet", + -12.9834566116333 + ], + [ + "medizin", + -12.983512878417969 + ], + [ + "▁majestic", + -12.983869552612305 + ], + [ + "▁Random", + -12.983943939208984 + ], + [ + "▁Equity", + -12.984046936035156 + ], + [ + "▁Echipa", + -12.984111785888672 + ], + [ + "са", + -12.984163284301758 + ], + [ + "316", + -12.984179496765137 + ], + [ + "▁Formation", + -12.984183311462402 + ], + [ + "inland", + -12.98421859741211 + ], + [ + "appuy", + -12.984301567077637 + ], + [ + "TAN", + -12.984481811523438 + ], + [ + "slipped", + -12.984918594360352 + ], + [ + "Certains", + -12.985247611999512 + ], + [ + "▁Silber", + -12.98525333404541 + ], + [ + "▁reçoi", + -12.985257148742676 + ], + [ + "▁Monthly", + -12.985323905944824 + ], + [ + "calculating", + -12.985494613647461 + ], + [ + "▁scratches", + -12.98554515838623 + ], + [ + "▁concurrence", + -12.985654830932617 + ], + [ + "▁Stärke", + -12.985662460327148 + ], + [ + "▁intermediar", + -12.985751152038574 + ], + [ + "▁erlebt", + -12.98579216003418 + ], + [ + "gesellschaftlich", + -12.986037254333496 + ], + [ + "▁Volk", + -12.986041069030762 + ], + [ + "▁Ansprüche", + -12.986101150512695 + ], + [ + "▁cumulative", + -12.986103057861328 + ], + [ + "▁Randy", + -12.986183166503906 + ], + [ + "▁instituții", + -12.98622989654541 + ], + [ + "together", + -12.986489295959473 + ], + [ + "▁Sap", + -12.986539840698242 + ], + [ + "▁modificari", + -12.986551284790039 + ], + [ + "▁erosion", + -12.986572265625 + ], + [ + "▁wicked", + -12.986577033996582 + ], + [ + "soaked", + -12.986613273620605 + ], + [ + "▁cellar", + -12.9866361618042 + ], + [ + "ignoring", + -12.986726760864258 + ], + [ + "▁scarce", + -12.986815452575684 + ], + [ + "ueuse", + -12.98697280883789 + ], + [ + "▁bibliothèque", + -12.986995697021484 + ], + [ + "critères", + -12.987017631530762 + ], + [ + "▁overlay", + -12.987166404724121 + ], + [ + "IPA", + -12.98737907409668 + ], + [ + "director", + -12.987393379211426 + ], + [ + "▁Krishna", + -12.987444877624512 + ], + [ + "▁methodologies", + -12.987451553344727 + ], + [ + "iocese", + -12.987513542175293 + ], + [ + "▁saucepan", + -12.987713813781738 + ], + [ + "184", + -12.987948417663574 + ], + [ + "275", + -12.987981796264648 + ], + [ + "▁précieu", + -12.988165855407715 + ], + [ + "▁academy", + -12.9883394241333 + ], + [ + "460", + -12.988438606262207 + ], + [ + "ERN", + -12.988679885864258 + ], + [ + "▁emoti", + -12.988725662231445 + ], + [ + "▁télévision", + -12.988823890686035 + ], + [ + "EDIT", + -12.988901138305664 + ], + [ + "▁Valeri", + -12.989045143127441 + ], + [ + "▁Charity", + -12.98911190032959 + ], + [ + "Voilà", + -12.989297866821289 + ], + [ + "▁lipsit", + -12.989356994628906 + ], + [ + "▁unleash", + -12.989373207092285 + ], + [ + "▁suferit", + -12.989506721496582 + ], + [ + "▁Lifestyle", + -12.98953914642334 + ], + [ + "▁Edel", + -12.989603996276855 + ], + [ + "▁Derek", + -12.989643096923828 + ], + [ + "▁Manga", + -12.989801406860352 + ], + [ + "▁increment", + -12.989990234375 + ], + [ + "▁plötzlich", + -12.990133285522461 + ], + [ + "▁5:30", + -12.990208625793457 + ], + [ + "▁Republicii", + -12.990246772766113 + ], + [ + "▁capitalism", + -12.990293502807617 + ], + [ + "ROW", + -12.990510940551758 + ], + [ + "▁Paar", + -12.990523338317871 + ], + [ + "allée", + -12.99057674407959 + ], + [ + "▁motto", + -12.990610122680664 + ], + [ + "Schäden", + -12.990630149841309 + ], + [ + "▁£10", + -12.99063491821289 + ], + [ + "RIP", + -12.990728378295898 + ], + [ + "courir", + -12.990761756896973 + ], + [ + "rocky", + -12.990944862365723 + ], + [ + "▁Sunshine", + -12.991031646728516 + ], + [ + "▁chimney", + -12.991044998168945 + ], + [ + "▁préfér", + -12.991153717041016 + ], + [ + "▁relaxare", + -12.991189956665039 + ], + [ + "▁colabora", + -12.99134349822998 + ], + [ + "liefer", + -12.99142837524414 + ], + [ + "▁ordentlich", + -12.991486549377441 + ], + [ + "▁dauerhaft", + -12.991535186767578 + ], + [ + "kammer", + -12.991572380065918 + ], + [ + "▁Basket", + -12.991579055786133 + ], + [ + "Site", + -12.991657257080078 + ], + [ + "▁Regina", + -12.991716384887695 + ], + [ + "▁simulate", + -12.991868019104004 + ], + [ + "▁wrestle", + -12.991939544677734 + ], + [ + "wertig", + -12.991986274719238 + ], + [ + "▁Christie", + -12.992018699645996 + ], + [ + "download", + -12.992033004760742 + ], + [ + "▁torch", + -12.992213249206543 + ], + [ + "riya", + -12.992216110229492 + ], + [ + "▁Grie", + -12.992247581481934 + ], + [ + "bitten", + -12.992356300354004 + ], + [ + "▁spezialisiert", + -12.99238109588623 + ], + [ + "▁Parade", + -12.992408752441406 + ], + [ + "▁migraine", + -12.992830276489258 + ], + [ + "▁Armstrong", + -12.992846488952637 + ], + [ + "▁cutie", + -12.9928560256958 + ], + [ + "▁bullying", + -12.992889404296875 + ], + [ + "▁Estonia", + -12.99293041229248 + ], + [ + "▁harvested", + -12.992948532104492 + ], + [ + "▁Hunger", + -12.992971420288086 + ], + [ + "▁frapp", + -12.992999076843262 + ], + [ + "REM", + -12.993117332458496 + ], + [ + "sensor", + -12.993189811706543 + ], + [ + "▁GREAT", + -12.993293762207031 + ], + [ + "▁thyroid", + -12.993302345275879 + ], + [ + "▁mărturi", + -12.993335723876953 + ], + [ + "ocupă", + -12.993809700012207 + ], + [ + "▁Wealth", + -12.993812561035156 + ], + [ + "▁convins", + -12.993841171264648 + ], + [ + "141", + -12.993876457214355 + ], + [ + "▁vingt", + -12.993901252746582 + ], + [ + "▁revel", + -12.994054794311523 + ], + [ + "▁Adri", + -12.994083404541016 + ], + [ + "▁remix", + -12.994207382202148 + ], + [ + "▁fermentation", + -12.99425220489502 + ], + [ + "▁achiziti", + -12.994352340698242 + ], + [ + "dream", + -12.994426727294922 + ], + [ + "▁contemporan", + -12.994632720947266 + ], + [ + "▁youngsters", + -12.994685173034668 + ], + [ + "▁Hartford", + -12.994745254516602 + ], + [ + "▁Wagen", + -12.994988441467285 + ], + [ + "▁Celebr", + -12.995214462280273 + ], + [ + "leveraging", + -12.99527645111084 + ], + [ + "▁Iasi", + -12.99549674987793 + ], + [ + "tackling", + -12.9955415725708 + ], + [ + "▁intrinsic", + -12.995553970336914 + ], + [ + "▁Macedon", + -12.995603561401367 + ], + [ + "NIA", + -12.995784759521484 + ], + [ + "▁bliss", + -12.995905876159668 + ], + [ + "▁gradual", + -12.995908737182617 + ], + [ + "▁inregistrat", + -12.995981216430664 + ], + [ + "▁volleyball", + -12.995986938476562 + ], + [ + "▁offiziell", + -12.996054649353027 + ], + [ + "▁carré", + -12.99611759185791 + ], + [ + "Mostly", + -12.996174812316895 + ], + [ + "▁Harley", + -12.996193885803223 + ], + [ + "▁locati", + -12.996216773986816 + ], + [ + "▁Klo", + -12.996223449707031 + ], + [ + "▁Equal", + -12.996238708496094 + ], + [ + "▁citat", + -12.996369361877441 + ], + [ + "▁argint", + -12.996478080749512 + ], + [ + "prüft", + -12.996528625488281 + ], + [ + "▁Fence", + -12.996600151062012 + ], + [ + "positive", + -12.996988296508789 + ], + [ + "▁Kaz", + -12.997245788574219 + ], + [ + "▁distortion", + -12.997342109680176 + ], + [ + "▁sâmbătă", + -12.997342109680176 + ], + [ + "▁frontière", + -12.997346878051758 + ], + [ + "▁revanch", + -12.997394561767578 + ], + [ + "▁Held", + -12.997465133666992 + ], + [ + "▁Hobb", + -12.99776554107666 + ], + [ + "▁reuşit", + -12.997796058654785 + ], + [ + "deem", + -12.997880935668945 + ], + [ + "▁dorint", + -12.997902870178223 + ], + [ + "▁Anlagen", + -12.997908592224121 + ], + [ + "▁cheval", + -12.997973442077637 + ], + [ + "630", + -12.99806022644043 + ], + [ + "▁implementare", + -12.99808406829834 + ], + [ + "▁curator", + -12.99821662902832 + ], + [ + "▁legislator", + -12.998247146606445 + ], + [ + "▁potassium", + -12.998247146606445 + ], + [ + "▁veterinarian", + -12.998247146606445 + ], + [ + "▁domenii", + -12.998273849487305 + ], + [ + "▁revue", + -12.998310089111328 + ], + [ + "Vielen", + -12.998333930969238 + ], + [ + "africain", + -12.998570442199707 + ], + [ + "before", + -12.998680114746094 + ], + [ + "▁Bestandteil", + -12.998702049255371 + ], + [ + "▁(2010)", + -12.998767852783203 + ], + [ + "▁Arlington", + -12.999153137207031 + ], + [ + "▁Gründung", + -12.999153137207031 + ], + [ + "▁Sprinkle", + -12.999153137207031 + ], + [ + "▁Princeton", + -12.999186515808105 + ], + [ + "chirurg", + -12.999228477478027 + ], + [ + "▁laissé", + -12.999357223510742 + ], + [ + "whoever", + -12.999384880065918 + ], + [ + "▁pasture", + -12.999431610107422 + ], + [ + "ajute", + -12.999436378479004 + ], + [ + "▁joyful", + -12.999494552612305 + ], + [ + "etapa", + -12.999905586242676 + ], + [ + "ESP", + -13.000017166137695 + ], + [ + "▁Iohannis", + -13.000059127807617 + ], + [ + "▁10:30", + -13.000127792358398 + ], + [ + "▁Kingston", + -13.000140190124512 + ], + [ + "▁contender", + -13.000164031982422 + ], + [ + "▁Damage", + -13.000177383422852 + ], + [ + "▁schreibt", + -13.000482559204102 + ], + [ + "sstisch", + -13.000631332397461 + ], + [ + "Associated", + -13.00072956085205 + ], + [ + "▁disposable", + -13.000782012939453 + ], + [ + "veranstaltung", + -13.00096607208252 + ], + [ + "▁puppet", + -13.00100040435791 + ], + [ + "pong", + -13.001093864440918 + ], + [ + "▁Chronicle", + -13.001176834106445 + ], + [ + "222", + -13.001286506652832 + ], + [ + "intuit", + -13.001396179199219 + ], + [ + "inscrire", + -13.001429557800293 + ], + [ + "▁speeches", + -13.001431465148926 + ], + [ + "▁Eingang", + -13.001775741577148 + ], + [ + "▁Adidas", + -13.001875877380371 + ], + [ + "▁cemetery", + -13.001877784729004 + ], + [ + "▁juicy", + -13.001885414123535 + ], + [ + "▁wertvolle", + -13.0018892288208 + ], + [ + "▁militari", + -13.001917839050293 + ], + [ + "China", + -13.00196361541748 + ], + [ + "ecția", + -13.002041816711426 + ], + [ + "luster", + -13.002063751220703 + ], + [ + "auftrag", + -13.00234317779541 + ], + [ + "▁Marius", + -13.002523422241211 + ], + [ + "▁crossover", + -13.002555847167969 + ], + [ + "▁enthusiast", + -13.002555847167969 + ], + [ + "▁cantitate", + -13.002630233764648 + ], + [ + "▁animat", + -13.002634048461914 + ], + [ + "Park", + -13.002793312072754 + ], + [ + "▁unchanged", + -13.00279426574707 + ], + [ + "russia", + -13.00281810760498 + ], + [ + "instant", + -13.002833366394043 + ], + [ + "ţiunea", + -13.002835273742676 + ], + [ + "▁franchi", + -13.002920150756836 + ], + [ + "▁mobiliz", + -13.002963066101074 + ], + [ + "athlet", + -13.003013610839844 + ], + [ + "▁Cardio", + -13.0031099319458 + ], + [ + "▁supus", + -13.003119468688965 + ], + [ + "▁Griff", + -13.003137588500977 + ], + [ + "flakes", + -13.003217697143555 + ], + [ + "soluble", + -13.003250122070312 + ], + [ + "Known", + -13.003693580627441 + ], + [ + "leaking", + -13.003741264343262 + ], + [ + "▁Holocaust", + -13.004148483276367 + ], + [ + "gift", + -13.004197120666504 + ], + [ + "▁tradiţi", + -13.004359245300293 + ], + [ + "▁southeast", + -13.004498481750488 + ], + [ + "▁correspondant", + -13.00460147857666 + ], + [ + "Isaiah", + -13.004603385925293 + ], + [ + "▁diagonal", + -13.004606246948242 + ], + [ + "▁Probabil", + -13.004680633544922 + ], + [ + "▁dégust", + -13.004791259765625 + ], + [ + "▁Naval", + -13.004802703857422 + ], + [ + "▁cultivation", + -13.004839897155762 + ], + [ + "▁Vertrieb", + -13.004849433898926 + ], + [ + "▁pony", + -13.004854202270508 + ], + [ + "▁Throw", + -13.0050048828125 + ], + [ + "little", + -13.005010604858398 + ], + [ + "▁remarque", + -13.005074501037598 + ], + [ + "▁parcare", + -13.005085945129395 + ], + [ + "3.8", + -13.00518798828125 + ], + [ + "▁renunt", + -13.005330085754395 + ], + [ + "▁Rewards", + -13.005487442016602 + ], + [ + "▁Thur", + -13.005496978759766 + ], + [ + "▁underestimate", + -13.005515098571777 + ], + [ + "▁frankly", + -13.005516052246094 + ], + [ + "Bretagne", + -13.005517959594727 + ], + [ + "axial", + -13.005537986755371 + ], + [ + "▁identities", + -13.0055570602417 + ], + [ + "▁Harvest", + -13.00561237335205 + ], + [ + "▁skippe", + -13.00561237335205 + ], + [ + "▁Boutique", + -13.005670547485352 + ], + [ + "▁intuition", + -13.005746841430664 + ], + [ + "▁Rotary", + -13.00581169128418 + ], + [ + "▁SERVICE", + -13.005875587463379 + ], + [ + "▁refill", + -13.005915641784668 + ], + [ + "▁arcade", + -13.006060600280762 + ], + [ + "▁komme", + -13.006386756896973 + ], + [ + "▁irrelevant", + -13.006427764892578 + ], + [ + "▁Sortiment", + -13.006429672241211 + ], + [ + "▁scriitor", + -13.006488800048828 + ], + [ + "▁clicked", + -13.006516456604004 + ], + [ + "▁ciel", + -13.006610870361328 + ], + [ + "▁Caesar", + -13.00680160522461 + ], + [ + "hound", + -13.006803512573242 + ], + [ + "whipped", + -13.006843566894531 + ], + [ + "licate", + -13.006867408752441 + ], + [ + "▁formatting", + -13.006986618041992 + ], + [ + "▁mosaic", + -13.007028579711914 + ], + [ + "(2017)", + -13.007122039794922 + ], + [ + "777", + -13.007257461547852 + ], + [ + "▁Messenger", + -13.007342338562012 + ], + [ + "dulci", + -13.007369041442871 + ], + [ + "▁(2016)", + -13.007420539855957 + ], + [ + "▁popcorn", + -13.007425308227539 + ], + [ + "▁Presidential", + -13.007497787475586 + ], + [ + "▁brokerage", + -13.007564544677734 + ], + [ + "dachte", + -13.00762939453125 + ], + [ + "verkauf", + -13.00768756866455 + ], + [ + "▁pomme", + -13.007721900939941 + ], + [ + "▁fret", + -13.007822036743164 + ], + [ + "▁revere", + -13.007894515991211 + ], + [ + "▁Canvas", + -13.008092880249023 + ], + [ + "▁Nottingham", + -13.008255004882812 + ], + [ + "▁Refuge", + -13.008257865905762 + ], + [ + "▁injustice", + -13.008259773254395 + ], + [ + "▁External", + -13.008264541625977 + ], + [ + "dincolo", + -13.008304595947266 + ], + [ + "directing", + -13.008511543273926 + ], + [ + "▁Toulouse", + -13.008710861206055 + ], + [ + "▁cheltuieli", + -13.008746147155762 + ], + [ + "▁distrus", + -13.008816719055176 + ], + [ + "impôt", + -13.008912086486816 + ], + [ + "landschaft", + -13.008964538574219 + ], + [ + "passion", + -13.00897216796875 + ], + [ + "▁Hobby", + -13.009099006652832 + ], + [ + "significant", + -13.009115219116211 + ], + [ + "▁Guinea", + -13.009209632873535 + ], + [ + "pecializing", + -13.009237289428711 + ], + [ + "pozitie", + -13.009245872497559 + ], + [ + "bourne", + -13.009295463562012 + ], + [ + "▁mâini", + -13.00933837890625 + ], + [ + "▁CFR", + -13.009395599365234 + ], + [ + "▁Konflikt", + -13.009626388549805 + ], + [ + "▁Vodafone", + -13.009626388549805 + ], + [ + "OUG", + -13.009681701660156 + ], + [ + "▁Übersicht", + -13.009735107421875 + ], + [ + "negotiated", + -13.009903907775879 + ], + [ + "▁gliss", + -13.010042190551758 + ], + [ + "▁Kapital", + -13.010111808776855 + ], + [ + "QC", + -13.0101318359375 + ], + [ + "▁gentleman", + -13.01024341583252 + ], + [ + "Inde", + -13.010514259338379 + ], + [ + "▁immensely", + -13.010639190673828 + ], + [ + "Business", + -13.010702133178711 + ], + [ + "▁04/2", + -13.010882377624512 + ], + [ + "societatea", + -13.010973930358887 + ], + [ + "fluoxetine", + -13.011000633239746 + ], + [ + "▁Wachstum", + -13.011000633239746 + ], + [ + "▁récit", + -13.011011123657227 + ], + [ + "▁Preisvergleich", + -13.011034965515137 + ], + [ + "▁Mohammed", + -13.011460304260254 + ], + [ + "gefangen", + -13.011462211608887 + ], + [ + "▁calibration", + -13.011608123779297 + ], + [ + "bekam", + -13.011728286743164 + ], + [ + "▁FUN", + -13.011758804321289 + ], + [ + "wasting", + -13.011839866638184 + ], + [ + "▁prosper", + -13.011862754821777 + ], + [ + "▁Afghan", + -13.011919021606445 + ], + [ + "▁Heroes", + -13.011921882629395 + ], + [ + "▁VMware", + -13.011927604675293 + ], + [ + "exception", + -13.011969566345215 + ], + [ + "▁înlocui", + -13.01244831085205 + ], + [ + "Neu", + -13.01246452331543 + ], + [ + "initiation", + -13.01250171661377 + ], + [ + "▁Peel", + -13.01281452178955 + ], + [ + "▁cunoaste", + -13.012836456298828 + ], + [ + "▁menschliche", + -13.012849807739258 + ], + [ + "▁poarta", + -13.012852668762207 + ], + [ + "▁congestion", + -13.012930870056152 + ], + [ + "▁îmbunătăț", + -13.013103485107422 + ], + [ + "EUR", + -13.013171195983887 + ], + [ + "▁sushi", + -13.01326847076416 + ], + [ + "Jährige", + -13.01329517364502 + ], + [ + "espoir", + -13.013423919677734 + ], + [ + "inspected", + -13.013444900512695 + ], + [ + "▁etape", + -13.013677597045898 + ], + [ + "▁pharmacist", + -13.013754844665527 + ], + [ + "flect", + -13.013840675354004 + ], + [ + "Changing", + -13.013932228088379 + ], + [ + "▁radiant", + -13.014046669006348 + ], + [ + "Daddy", + -13.014275550842285 + ], + [ + "▁categorii", + -13.014360427856445 + ], + [ + "quête", + -13.014628410339355 + ], + [ + "▁skincare", + -13.014657020568848 + ], + [ + "hébergement", + -13.014674186706543 + ], + [ + "840", + -13.01477336883545 + ], + [ + "awaiting", + -13.014822006225586 + ], + [ + "▁murdered", + -13.014841079711914 + ], + [ + "▁proficient", + -13.014863967895508 + ], + [ + "▁chauffe", + -13.014899253845215 + ], + [ + "▁contur", + -13.014937400817871 + ], + [ + "▁rejoindre", + -13.015145301818848 + ], + [ + "▁foloseste", + -13.01521110534668 + ], + [ + "▁Grup", + -13.01535701751709 + ], + [ + "152", + -13.01541519165039 + ], + [ + "▁workspace", + -13.015438079833984 + ], + [ + "▁primitive", + -13.015546798706055 + ], + [ + "▁Ginger", + -13.015557289123535 + ], + [ + "▁chemotherapy", + -13.015595436096191 + ], + [ + "▁platinum", + -13.015596389770508 + ], + [ + "▁sarcina", + -13.01559829711914 + ], + [ + "▁revival", + -13.015820503234863 + ], + [ + "▁Meditation", + -13.016111373901367 + ], + [ + "▁Vogel", + -13.0161714553833 + ], + [ + "IMA", + -13.016359329223633 + ], + [ + "▁handset", + -13.016486167907715 + ], + [ + "▁Nachmittag", + -13.01651668548584 + ], + [ + "▁déchets", + -13.016517639160156 + ], + [ + "▁Cornwall", + -13.0165433883667 + ], + [ + "▁Curry", + -13.016605377197266 + ], + [ + "▁cuplu", + -13.016607284545898 + ], + [ + "▁Birth", + -13.016822814941406 + ], + [ + "forward", + -13.016936302185059 + ], + [ + "Dezvoltare", + -13.016977310180664 + ], + [ + "▁irgendwie", + -13.016980171203613 + ], + [ + "▁erzielt", + -13.016993522644043 + ], + [ + "LOS", + -13.01700496673584 + ], + [ + "▁overload", + -13.01708984375 + ], + [ + "▁repay", + -13.01713752746582 + ], + [ + "urlaub", + -13.017155647277832 + ], + [ + "7.0", + -13.01716423034668 + ], + [ + "▁Wheat", + -13.01748275756836 + ], + [ + "▁degrab", + -13.017488479614258 + ], + [ + "▁Brock", + -13.017491340637207 + ], + [ + "▁inhabit", + -13.0176362991333 + ], + [ + "▁Speech", + -13.017834663391113 + ], + [ + "directional", + -13.017862319946289 + ], + [ + "▁Mandel", + -13.017909049987793 + ], + [ + "▁erscheinen", + -13.01791763305664 + ], + [ + "consciously", + -13.018059730529785 + ], + [ + "▁sunet", + -13.0182523727417 + ], + [ + "▁stole", + -13.018259048461914 + ], + [ + "▁Utilis", + -13.018349647521973 + ], + [ + "▁obstruction", + -13.01852798461914 + ], + [ + "▁mindfulness", + -13.0186767578125 + ], + [ + "partnering", + -13.01868724822998 + ], + [ + "CSI", + -13.018819808959961 + ], + [ + "204", + -13.01905632019043 + ], + [ + "▁squirrel", + -13.019286155700684 + ], + [ + "▁Rwanda", + -13.01975154876709 + ], + [ + "▁hunters", + -13.019850730895996 + ], + [ + "▁revitaliz", + -13.02022647857666 + ], + [ + "▁avansat", + -13.020232200622559 + ], + [ + "▁Yamaha", + -13.020294189453125 + ], + [ + "foto", + -13.020435333251953 + ], + [ + "▁Vegan", + -13.020469665527344 + ], + [ + "▁pitched", + -13.02053165435791 + ], + [ + "▁Vortrag", + -13.020540237426758 + ], + [ + "traditional", + -13.020809173583984 + ], + [ + "offrent", + -13.021024703979492 + ], + [ + "▁Expression", + -13.021315574645996 + ], + [ + "▁apprécié", + -13.021354675292969 + ], + [ + "▁Christina", + -13.021408081054688 + ], + [ + "eilig", + -13.021464347839355 + ], + [ + "▁verhindern", + -13.021599769592285 + ], + [ + "culturii", + -13.021607398986816 + ], + [ + "Aşa", + -13.021703720092773 + ], + [ + "▁enamel", + -13.021756172180176 + ], + [ + "▁fördern", + -13.021771430969238 + ], + [ + "▁acheté", + -13.021798133850098 + ], + [ + "▁eventuell", + -13.021842956542969 + ], + [ + "▁Sino", + -13.021873474121094 + ], + [ + "▁totodat", + -13.022008895874023 + ], + [ + "accelerated", + -13.022202491760254 + ], + [ + "▁strengthened", + -13.02245044708252 + ], + [ + "corro", + -13.022482872009277 + ], + [ + "4,5", + -13.02253246307373 + ], + [ + "▁Beverly", + -13.022533416748047 + ], + [ + "ulevard", + -13.022615432739258 + ], + [ + "▁hamper", + -13.022644996643066 + ], + [ + "▁Tempe", + -13.02268123626709 + ], + [ + "▁Yacht", + -13.022799491882324 + ], + [ + "▁LGBT", + -13.022871017456055 + ], + [ + "▁fingertips", + -13.022991180419922 + ], + [ + "▁Auftraggeber", + -13.02299976348877 + ], + [ + "▁harbour", + -13.0230131149292 + ], + [ + "blew", + -13.0230712890625 + ], + [ + "▁ideology", + -13.023115158081055 + ], + [ + "▁covenant", + -13.023170471191406 + ], + [ + "▁faction", + -13.023419380187988 + ], + [ + "▁animé", + -13.023481369018555 + ], + [ + "energie", + -13.023515701293945 + ], + [ + "iterführende", + -13.02369499206543 + ], + [ + "▁MAI", + -13.023784637451172 + ], + [ + "▁pluie", + -13.023905754089355 + ], + [ + "▁cathedral", + -13.023919105529785 + ], + [ + "▁chiropractic", + -13.023919105529785 + ], + [ + "monies", + -13.023968696594238 + ], + [ + "▁contraction", + -13.024054527282715 + ], + [ + "pvc", + -13.024202346801758 + ], + [ + "staff", + -13.024209022521973 + ], + [ + "BIT", + -13.024216651916504 + ], + [ + "EET", + -13.024514198303223 + ], + [ + "▁sanction", + -13.024575233459473 + ], + [ + "▁Reiki", + -13.024709701538086 + ], + [ + "Trying", + -13.024772644042969 + ], + [ + "▁endangered", + -13.024847984313965 + ], + [ + "▁Emperor", + -13.024849891662598 + ], + [ + "▁empfi", + -13.024909973144531 + ], + [ + "animation", + -13.024998664855957 + ], + [ + "207", + -13.025029182434082 + ], + [ + "separating", + -13.02512264251709 + ], + [ + "▁lucrative", + -13.025148391723633 + ], + [ + "▁ortho", + -13.02524185180664 + ], + [ + "variété", + -13.025266647338867 + ], + [ + "hésit", + -13.025287628173828 + ], + [ + "nuances", + -13.025289535522461 + ], + [ + "▁$250", + -13.025394439697266 + ], + [ + "▁drumuri", + -13.025435447692871 + ], + [ + "▁unsafe", + -13.025446891784668 + ], + [ + "▁1943", + -13.025477409362793 + ], + [ + "▁automatique", + -13.025524139404297 + ], + [ + "billed", + -13.025585174560547 + ], + [ + "▁rectangle", + -13.02578067779541 + ], + [ + "▁Spannung", + -13.025781631469727 + ], + [ + "▁dévoil", + -13.025790214538574 + ], + [ + "▁perimeter", + -13.02580738067627 + ], + [ + "▁imaginative", + -13.02581787109375 + ], + [ + "actifs", + -13.025851249694824 + ], + [ + "neuve", + -13.0259428024292 + ], + [ + "leagă", + -13.026269912719727 + ], + [ + "gehende", + -13.026700973510742 + ], + [ + "▁Gorgeous", + -13.026708602905273 + ], + [ + "▁impeccable", + -13.026708602905273 + ], + [ + "▁Curtain", + -13.026718139648438 + ], + [ + "▁presume", + -13.026731491088867 + ], + [ + "surpassed", + -13.02687931060791 + ], + [ + "schiff", + -13.026927947998047 + ], + [ + "Allied", + -13.02699089050293 + ], + [ + "fanden", + -13.027080535888672 + ], + [ + "▁célébr", + -13.027174949645996 + ], + [ + "▁phénomène", + -13.027174949645996 + ], + [ + "▁Powell", + -13.027413368225098 + ], + [ + "jean", + -13.027631759643555 + ], + [ + "▁peculiar", + -13.027640342712402 + ], + [ + "▁Antarctic", + -13.027641296386719 + ], + [ + "▁gradient", + -13.027663230895996 + ], + [ + "▁brainstorm", + -13.027704238891602 + ], + [ + "échapp", + -13.027726173400879 + ], + [ + "Bot", + -13.027738571166992 + ], + [ + "cita", + -13.027743339538574 + ], + [ + "▁lumber", + -13.027752876281738 + ], + [ + "weichen", + -13.027852058410645 + ], + [ + "▁Halte", + -13.028024673461914 + ], + [ + "▁noștri", + -13.028107643127441 + ], + [ + "construction", + -13.028165817260742 + ], + [ + "DOC", + -13.028236389160156 + ], + [ + "▁aluat", + -13.028319358825684 + ], + [ + "streamlined", + -13.028462409973145 + ], + [ + "Bio", + -13.028494834899902 + ], + [ + "▁nutritious", + -13.028573036193848 + ], + [ + "▁délicat", + -13.0286283493042 + ], + [ + "▁sticla", + -13.028656959533691 + ], + [ + "OVE", + -13.028721809387207 + ], + [ + "▁panneau", + -13.028793334960938 + ], + [ + "▁hetero", + -13.028801918029785 + ], + [ + "▁annul", + -13.028839111328125 + ], + [ + "IDA", + -13.028935432434082 + ], + [ + "▁pitches", + -13.028960227966309 + ], + [ + "▁Edmonton", + -13.029040336608887 + ], + [ + "mediated", + -13.029136657714844 + ], + [ + "AFP", + -13.029139518737793 + ], + [ + "▁Tibetan", + -13.029228210449219 + ], + [ + "intégration", + -13.02934455871582 + ], + [ + "▁Rox", + -13.0294771194458 + ], + [ + "energia", + -13.02950668334961 + ], + [ + "▁reconnaît", + -13.029509544372559 + ], + [ + "▁ține", + -13.029525756835938 + ], + [ + "▁ignition", + -13.029534339904785 + ], + [ + "Foarte", + -13.029541015625 + ], + [ + "▁HOME", + -13.029545783996582 + ], + [ + "▁MLB", + -13.029545783996582 + ], + [ + "▁Wähle", + -13.029590606689453 + ], + [ + "▁Merkel", + -13.029658317565918 + ], + [ + "poarte", + -13.029664993286133 + ], + [ + "ALT", + -13.02979850769043 + ], + [ + "jenigen", + -13.029985427856445 + ], + [ + "▁conflit", + -13.029987335205078 + ], + [ + "▁buckle", + -13.029996871948242 + ], + [ + "▁cacao", + -13.030035018920898 + ], + [ + "▁représentation", + -13.030076026916504 + ], + [ + "incepand", + -13.030267715454102 + ], + [ + "▁Carroll", + -13.030306816101074 + ], + [ + "▁clientilor", + -13.030370712280273 + ], + [ + "▁immunity", + -13.030441284179688 + ], + [ + "oût", + -13.03044319152832 + ], + [ + "▁Witch", + -13.030488014221191 + ], + [ + "▁Wolfgang", + -13.030532836914062 + ], + [ + "▁prudent", + -13.030701637268066 + ], + [ + "fotograf", + -13.03084945678711 + ], + [ + "paar", + -13.030871391296387 + ], + [ + "ergeti", + -13.030927658081055 + ], + [ + "▁empowerment", + -13.031112670898438 + ], + [ + "▁Admir", + -13.03122329711914 + ], + [ + "▁complémentaire", + -13.031340599060059 + ], + [ + "▁angepasst", + -13.031376838684082 + ], + [ + "▁flirt", + -13.031376838684082 + ], + [ + "▁elektronische", + -13.031388282775879 + ], + [ + "▁stereotype", + -13.03140640258789 + ], + [ + "SIL", + -13.031465530395508 + ], + [ + "▁Realtor", + -13.031471252441406 + ], + [ + "Edit", + -13.031774520874023 + ], + [ + "requête", + -13.03181266784668 + ], + [ + "▁Herstellung", + -13.031815528869629 + ], + [ + "▁cyst", + -13.031947135925293 + ], + [ + "syndic", + -13.031994819641113 + ], + [ + "leni", + -13.032007217407227 + ], + [ + "▁fringe", + -13.032020568847656 + ], + [ + "▁Jardin", + -13.032032012939453 + ], + [ + "▁Vezi", + -13.032052993774414 + ], + [ + "▁Ausstattung", + -13.032312393188477 + ], + [ + "▁glide", + -13.032590866088867 + ], + [ + "▁Andere", + -13.032758712768555 + ], + [ + "▁Haftung", + -13.032781600952148 + ], + [ + "maßnahmen", + -13.032788276672363 + ], + [ + "▁recommandé", + -13.032790184020996 + ], + [ + "▁nave", + -13.032793998718262 + ], + [ + "viziune", + -13.033051490783691 + ], + [ + "▁stimulus", + -13.033098220825195 + ], + [ + "faulty", + -13.0331449508667 + ], + [ + "▁vicinity", + -13.033249855041504 + ], + [ + "▁turnaround", + -13.033445358276367 + ], + [ + "stammt", + -13.033846855163574 + ], + [ + "▁problemlos", + -13.033856391906738 + ], + [ + "▁Establish", + -13.03415298461914 + ], + [ + "▁Silva", + -13.034172058105469 + ], + [ + "▁muzică", + -13.034187316894531 + ], + [ + "▁theatrical", + -13.03421401977539 + ], + [ + "▁braid", + -13.034242630004883 + ], + [ + "▁blieb", + -13.034276962280273 + ], + [ + "158", + -13.034296989440918 + ], + [ + "▁ignorance", + -13.034330368041992 + ], + [ + "onset", + -13.034416198730469 + ], + [ + "zeitlich", + -13.034523963928223 + ], + [ + "▁Sink", + -13.034523963928223 + ], + [ + "▁caractéris", + -13.034594535827637 + ], + [ + "▁kreative", + -13.03465747833252 + ], + [ + "behörde", + -13.034677505493164 + ], + [ + "repairing", + -13.034680366516113 + ], + [ + "▁tumble", + -13.034757614135742 + ], + [ + "zione", + -13.034871101379395 + ], + [ + "▁Evil", + -13.03494644165039 + ], + [ + "▁popping", + -13.034952163696289 + ], + [ + "▁mutant", + -13.035025596618652 + ], + [ + "emme", + -13.035030364990234 + ], + [ + "▁Pleasant", + -13.035125732421875 + ], + [ + "▁appetizer", + -13.035125732421875 + ], + [ + "▁PLEASE", + -13.035126686096191 + ], + [ + "▁physiological", + -13.035128593444824 + ], + [ + "▁Facility", + -13.035131454467773 + ], + [ + "▁quirky", + -13.035131454467773 + ], + [ + "▁colectiv", + -13.035154342651367 + ], + [ + "151", + -13.035181999206543 + ], + [ + "August", + -13.03531551361084 + ], + [ + "▁Jewelry", + -13.035327911376953 + ], + [ + "▁ziar", + -13.035481452941895 + ], + [ + "▁puissant", + -13.035489082336426 + ], + [ + "▁Argument", + -13.035595893859863 + ], + [ + "▁Betracht", + -13.035621643066406 + ], + [ + "▁TRANS", + -13.035636901855469 + ], + [ + "Exception", + -13.036011695861816 + ], + [ + "nosti", + -13.036083221435547 + ], + [ + "▁Geographic", + -13.036155700683594 + ], + [ + "amazingly", + -13.036173820495605 + ], + [ + "▁météo", + -13.036181449890137 + ], + [ + "streit", + -13.036314010620117 + ], + [ + "▁idle", + -13.036439895629883 + ], + [ + "179", + -13.036441802978516 + ], + [ + "▁Bremen", + -13.036534309387207 + ], + [ + "▁Kläger", + -13.03653621673584 + ], + [ + "▁Grammy", + -13.036598205566406 + ], + [ + "▁Philosophy", + -13.036613464355469 + ], + [ + "▁utilizeaz", + -13.036779403686523 + ], + [ + "Accord", + -13.036897659301758 + ], + [ + "▁USDA", + -13.036986351013184 + ], + [ + "Continuing", + -13.037010192871094 + ], + [ + "geschenk", + -13.037178039550781 + ], + [ + "kredit", + -13.037248611450195 + ], + [ + "Laugh", + -13.037297248840332 + ], + [ + "oaring", + -13.037406921386719 + ], + [ + "▁Richter", + -13.037460327148438 + ], + [ + "▁Figur", + -13.037938117980957 + ], + [ + "▁inconsistent", + -13.037947654724121 + ], + [ + "cresterea", + -13.038069725036621 + ], + [ + "▁regeneration", + -13.038130760192871 + ], + [ + "speaking", + -13.03818416595459 + ], + [ + "▁nasal", + -13.03824234008789 + ], + [ + "▁partagé", + -13.038259506225586 + ], + [ + "▁Warranty", + -13.038419723510742 + ], + [ + "▁Mueller", + -13.038501739501953 + ], + [ + "formează", + -13.038734436035156 + ], + [ + "hundert", + -13.038745880126953 + ], + [ + "gemeldet", + -13.038893699645996 + ], + [ + "▁excursions", + -13.038912773132324 + ], + [ + "▁linii", + -13.039066314697266 + ], + [ + "gefährlich", + -13.039067268371582 + ], + [ + "▁schema", + -13.03907299041748 + ], + [ + "nişte", + -13.039131164550781 + ], + [ + "▁roadway", + -13.039132118225098 + ], + [ + "▁regression", + -13.039135932922363 + ], + [ + "▁mână", + -13.039366722106934 + ], + [ + "5.3", + -13.039373397827148 + ], + [ + "▁Spät", + -13.039734840393066 + ], + [ + "▁stubborn", + -13.039833068847656 + ], + [ + "efectele", + -13.040030479431152 + ], + [ + "▁atenţi", + -13.040136337280273 + ], + [ + "▁dovedit", + -13.04018497467041 + ], + [ + "▁Agile", + -13.040190696716309 + ], + [ + "denying", + -13.04023265838623 + ], + [ + "fluss", + -13.040620803833008 + ], + [ + "▁Calvin", + -13.04066276550293 + ], + [ + "Sculpt", + -13.04083251953125 + ], + [ + "égalité", + -13.040884971618652 + ], + [ + "ticket", + -13.040977478027344 + ], + [ + "marketed", + -13.041044235229492 + ], + [ + "holic", + -13.041173934936523 + ], + [ + "▁eCommerce", + -13.041346549987793 + ], + [ + "▁Slip", + -13.041369438171387 + ], + [ + "▁degradation", + -13.041736602783203 + ], + [ + "écart", + -13.041742324829102 + ], + [ + "AGR", + -13.041807174682617 + ], + [ + "▁burglar", + -13.041837692260742 + ], + [ + "▁conjug", + -13.041903495788574 + ], + [ + "LLP", + -13.04194164276123 + ], + [ + "couvrir", + -13.041997909545898 + ], + [ + "▁Hearing", + -13.042001724243164 + ], + [ + "▁canton", + -13.042006492614746 + ], + [ + "▁sixteen", + -13.042068481445312 + ], + [ + "▁Verlust", + -13.042097091674805 + ], + [ + "allied", + -13.042268753051758 + ], + [ + "Performing", + -13.042393684387207 + ], + [ + "▁évoqu", + -13.042519569396973 + ], + [ + "▁bookstore", + -13.042574882507324 + ], + [ + "▁intrebari", + -13.042627334594727 + ], + [ + "▁Hyderabad", + -13.042668342590332 + ], + [ + "▁repertoire", + -13.042668342590332 + ], + [ + "▁cablu", + -13.042678833007812 + ], + [ + "▁Costume", + -13.04269790649414 + ], + [ + "▁Shannon", + -13.042713165283203 + ], + [ + "▁glossy", + -13.042800903320312 + ], + [ + "▁cible", + -13.042876243591309 + ], + [ + "Saint", + -13.042984008789062 + ], + [ + "▁Ultima", + -13.043042182922363 + ], + [ + "▁teint", + -13.0432767868042 + ], + [ + "▁envision", + -13.043477058410645 + ], + [ + "▁thinner", + -13.043478965759277 + ], + [ + "ис", + -13.043609619140625 + ], + [ + "▁bladder", + -13.043615341186523 + ], + [ + "▁Prairie", + -13.043618202209473 + ], + [ + "▁puppies", + -13.043633460998535 + ], + [ + "▁overweight", + -13.043729782104492 + ], + [ + "destined", + -13.043925285339355 + ], + [ + "▁addictive", + -13.043935775756836 + ], + [ + "▁posé", + -13.043993949890137 + ], + [ + "▁mecanism", + -13.044112205505371 + ], + [ + "▁chorus", + -13.044466972351074 + ], + [ + "weder", + -13.044528007507324 + ], + [ + "▁begrüß", + -13.044562339782715 + ], + [ + "▁unsuccessful", + -13.044562339782715 + ], + [ + "executing", + -13.044564247131348 + ], + [ + "▁metadata", + -13.044611930847168 + ], + [ + "traiter", + -13.044620513916016 + ], + [ + "▁borrowed", + -13.044649124145508 + ], + [ + "▁aeroport", + -13.044679641723633 + ], + [ + "▁Bibli", + -13.044761657714844 + ], + [ + "▁youthful", + -13.044902801513672 + ], + [ + "▁Herbert", + -13.044913291931152 + ], + [ + "client", + -13.04500961303711 + ], + [ + "merci", + -13.04520034790039 + ], + [ + "▁Beast", + -13.045210838317871 + ], + [ + "▁Entrepreneur", + -13.045230865478516 + ], + [ + "▁Gelände", + -13.045256614685059 + ], + [ + "▁Packers", + -13.045268058776855 + ], + [ + "formarea", + -13.045469284057617 + ], + [ + "▁Kündigung", + -13.045511245727539 + ], + [ + "▁verdient", + -13.045515060424805 + ], + [ + "▁solutie", + -13.045530319213867 + ], + [ + "figuration", + -13.045611381530762 + ], + [ + "voluntarily", + -13.045622825622559 + ], + [ + "Gregor", + -13.045742988586426 + ], + [ + "▁Uncle", + -13.04589557647705 + ], + [ + "tarifs", + -13.045907020568848 + ], + [ + "▁écologique", + -13.045987129211426 + ], + [ + "▁Investition", + -13.045991897583008 + ], + [ + "exemplar", + -13.046127319335938 + ], + [ + "▁prevede", + -13.046144485473633 + ], + [ + "▁waive", + -13.046147346496582 + ], + [ + "▁Legion", + -13.046156883239746 + ], + [ + "similar", + -13.046247482299805 + ], + [ + "▁shareholder", + -13.04626750946045 + ], + [ + "▁oyster", + -13.046476364135742 + ], + [ + "▁Lightning", + -13.046530723571777 + ], + [ + "experimenting", + -13.04662799835205 + ], + [ + "▁replies", + -13.04663372039795 + ], + [ + "80,000", + -13.046757698059082 + ], + [ + "▁adept", + -13.04692554473877 + ], + [ + "▁Crăciun", + -13.046935081481934 + ], + [ + "▁sanatos", + -13.046935081481934 + ], + [ + "305", + -13.04699993133545 + ], + [ + "specialised", + -13.047069549560547 + ], + [ + "▁drummer", + -13.047189712524414 + ], + [ + "Applicants", + -13.04741096496582 + ], + [ + "objekt", + -13.04741096496582 + ], + [ + "▁Fifth", + -13.047446250915527 + ], + [ + "rgic", + -13.047567367553711 + ], + [ + "theater", + -13.047635078430176 + ], + [ + "▁terminé", + -13.047852516174316 + ], + [ + "▁Englisch", + -13.047894477844238 + ], + [ + "▁Oradea", + -13.047898292541504 + ], + [ + "possesses", + -13.0479097366333 + ], + [ + "illiers", + -13.047986030578613 + ], + [ + "▁refurbish", + -13.048110961914062 + ], + [ + "graphie", + -13.04814338684082 + ], + [ + "▁Booth", + -13.048174858093262 + ], + [ + "▁Ausdruck", + -13.048192977905273 + ], + [ + "▁Marriage", + -13.048361778259277 + ], + [ + "▁knives", + -13.048362731933594 + ], + [ + "▁Relief", + -13.048368453979492 + ], + [ + "▁Clerk", + -13.048392295837402 + ], + [ + "wait", + -13.048501014709473 + ], + [ + "▁probablement", + -13.048698425292969 + ], + [ + "▁suplimentar", + -13.048701286315918 + ], + [ + "dollar", + -13.048797607421875 + ], + [ + "English", + -13.04898452758789 + ], + [ + "866", + -13.049300193786621 + ], + [ + "▁Savannah", + -13.049314498901367 + ], + [ + "▁aftermath", + -13.049318313598633 + ], + [ + "phé", + -13.04932689666748 + ], + [ + "▁Plum", + -13.049417495727539 + ], + [ + "264", + -13.049566268920898 + ], + [ + "2.000", + -13.049582481384277 + ], + [ + "niei", + -13.049603462219238 + ], + [ + "ATP", + -13.049803733825684 + ], + [ + "mila", + -13.04985523223877 + ], + [ + "▁glut", + -13.049887657165527 + ], + [ + "gotta", + -13.049891471862793 + ], + [ + "schütt", + -13.049893379211426 + ], + [ + "klick", + -13.049996376037598 + ], + [ + "whether", + -13.050090789794922 + ], + [ + "▁Wade", + -13.050163269042969 + ], + [ + "▁Riley", + -13.050280570983887 + ], + [ + "Chancellor", + -13.050288200378418 + ], + [ + "▁nebun", + -13.050300598144531 + ], + [ + "▁aufgebaut", + -13.050374984741211 + ], + [ + "steigt", + -13.050423622131348 + ], + [ + "▁entirety", + -13.050494194030762 + ], + [ + "▁telefoane", + -13.05074691772461 + ], + [ + "▁Roulette", + -13.050763130187988 + ], + [ + "1700", + -13.050787925720215 + ], + [ + "▁lycée", + -13.050856590270996 + ], + [ + "rotary", + -13.051128387451172 + ], + [ + "benefited", + -13.051170349121094 + ], + [ + "▁Bisericii", + -13.051220893859863 + ], + [ + "▁Rehabilitation", + -13.051220893859863 + ], + [ + "▁lithium", + -13.051228523254395 + ], + [ + "imposing", + -13.051279067993164 + ], + [ + "176", + -13.051329612731934 + ], + [ + "▁thunder", + -13.051527976989746 + ], + [ + "ăsesc", + -13.052000045776367 + ], + [ + "▁Einblick", + -13.052010536193848 + ], + [ + "oiled", + -13.052151679992676 + ], + [ + "SSA", + -13.052181243896484 + ], + [ + "apparition", + -13.05224609375 + ], + [ + "▁Impress", + -13.052273750305176 + ], + [ + "▁Aboriginal", + -13.052297592163086 + ], + [ + "loos", + -13.052383422851562 + ], + [ + "▁Bread", + -13.052440643310547 + ], + [ + "177", + -13.052619934082031 + ], + [ + "VERS", + -13.052638053894043 + ], + [ + "▁Respect", + -13.05271053314209 + ], + [ + "▁Practical", + -13.053047180175781 + ], + [ + "drafting", + -13.05306339263916 + ], + [ + "си", + -13.053099632263184 + ], + [ + "▁faza", + -13.053109169006348 + ], + [ + "▁sovereign", + -13.053123474121094 + ], + [ + "▁Untersuchung", + -13.05314826965332 + ], + [ + "▁Niveau", + -13.053154945373535 + ], + [ + "transport", + -13.053182601928711 + ], + [ + "▁downstream", + -13.053293228149414 + ], + [ + "▁Milton", + -13.053383827209473 + ], + [ + "▁knob", + -13.053390502929688 + ], + [ + "employeur", + -13.053499221801758 + ], + [ + "▁furnish", + -13.053544044494629 + ], + [ + "weather", + -13.053564071655273 + ], + [ + "LAB", + -13.053646087646484 + ], + [ + "166", + -13.053853988647461 + ], + [ + "▁salaire", + -13.053937911987305 + ], + [ + "▁Carnival", + -13.054088592529297 + ], + [ + "4-0", + -13.054168701171875 + ], + [ + "▁Angle", + -13.054291725158691 + ], + [ + "▁José", + -13.054399490356445 + ], + [ + "architecture", + -13.054475784301758 + ], + [ + "▁Sunset", + -13.054574966430664 + ], + [ + "▁Absolut", + -13.054694175720215 + ], + [ + "▁herrlich", + -13.05470085144043 + ], + [ + "12%", + -13.054703712463379 + ], + [ + "▁Indo", + -13.054823875427246 + ], + [ + "▁Komfort", + -13.055049896240234 + ], + [ + "▁acțiuni", + -13.05505084991455 + ], + [ + "energize", + -13.055085182189941 + ], + [ + "▁Warning", + -13.055171966552734 + ], + [ + "▁Sunny", + -13.055216789245605 + ], + [ + "▁razor", + -13.055489540100098 + ], + [ + "▁psychic", + -13.055490493774414 + ], + [ + "▁convivial", + -13.055525779724121 + ], + [ + "Voraussetzungen", + -13.05555534362793 + ], + [ + "IMO", + -13.055622100830078 + ], + [ + "opérateur", + -13.055743217468262 + ], + [ + "▁langjährige", + -13.05575942993164 + ], + [ + "▁Spanie", + -13.055901527404785 + ], + [ + "pulmonary", + -13.056004524230957 + ], + [ + "▁Bingo", + -13.056050300598145 + ], + [ + "▁confession", + -13.056096076965332 + ], + [ + "▁Petru", + -13.056100845336914 + ], + [ + "▁prerequisite", + -13.056164741516113 + ], + [ + "▁dodge", + -13.056352615356445 + ], + [ + "▁McN", + -13.056436538696289 + ], + [ + "▁originate", + -13.056577682495117 + ], + [ + "▁nettoy", + -13.056612014770508 + ], + [ + "▁$14", + -13.056645393371582 + ], + [ + "▁Bride", + -13.05669116973877 + ], + [ + "▁noisy", + -13.05673885345459 + ], + [ + "▁Worcester", + -13.056963920593262 + ], + [ + "▁Surrey", + -13.056982040405273 + ], + [ + "harmonis", + -13.057110786437988 + ], + [ + "▁représentant", + -13.057304382324219 + ], + [ + "organisée", + -13.057475090026855 + ], + [ + "truction", + -13.057513236999512 + ], + [ + "injected", + -13.057597160339355 + ], + [ + "▁Suzuki", + -13.057924270629883 + ], + [ + "▁japonais", + -13.057924270629883 + ], + [ + "▁turquoise", + -13.057924270629883 + ], + [ + "▁Peut", + -13.058004379272461 + ], + [ + "▁Sequ", + -13.058028221130371 + ], + [ + "slated", + -13.058037757873535 + ], + [ + "▁Alma", + -13.058215141296387 + ], + [ + "▁gebraucht", + -13.05827522277832 + ], + [ + "gängig", + -13.058281898498535 + ], + [ + "▁commis", + -13.058377265930176 + ], + [ + "ACS", + -13.05856990814209 + ], + [ + "pressure", + -13.058664321899414 + ], + [ + "cured", + -13.05874252319336 + ], + [ + "▁Jackie", + -13.058757781982422 + ], + [ + "▁Kashmir", + -13.05888557434082 + ], + [ + "▁recruited", + -13.059000968933105 + ], + [ + "▁vécu", + -13.059011459350586 + ], + [ + "▁opus", + -13.059052467346191 + ], + [ + "kWh", + -13.05927562713623 + ], + [ + "▁tapping", + -13.059292793273926 + ], + [ + "▁tehnologie", + -13.05931282043457 + ], + [ + "▁Gentle", + -13.059365272521973 + ], + [ + "▁bombard", + -13.059372901916504 + ], + [ + "▁caméra", + -13.059427261352539 + ], + [ + "züglich", + -13.059431076049805 + ], + [ + "▁bingo", + -13.059453010559082 + ], + [ + "private", + -13.059496879577637 + ], + [ + "▁mediator", + -13.059642791748047 + ], + [ + "▁carbohydrates", + -13.059847831726074 + ], + [ + "▁workmanship", + -13.059849739074707 + ], + [ + "▁Combat", + -13.059853553771973 + ], + [ + "▁Mickey", + -13.059901237487793 + ], + [ + "▁distressed", + -13.059908866882324 + ], + [ + "lucrează", + -13.059924125671387 + ], + [ + "treatment", + -13.06007194519043 + ], + [ + "▁Einwohner", + -13.060330390930176 + ], + [ + "▁glaze", + -13.060386657714844 + ], + [ + "scholarly", + -13.06043529510498 + ], + [ + "ROC", + -13.060750007629395 + ], + [ + "▁Darwin", + -13.060774803161621 + ], + [ + "drückt", + -13.060775756835938 + ], + [ + "▁treadmill", + -13.060819625854492 + ], + [ + "ntz", + -13.060830116271973 + ], + [ + "620", + -13.061087608337402 + ], + [ + "surface", + -13.061148643493652 + ], + [ + "▁vieţii", + -13.0612211227417 + ], + [ + "990", + -13.061296463012695 + ], + [ + "▁doigt", + -13.061341285705566 + ], + [ + "▁explor", + -13.061450004577637 + ], + [ + "▁asistent", + -13.061670303344727 + ], + [ + "coloriage", + -13.061734199523926 + ], + [ + "▁Martinez", + -13.061758041381836 + ], + [ + "▁antibodies", + -13.061775207519531 + ], + [ + "Schülerinnen", + -13.061779975891113 + ], + [ + "Honestly", + -13.06178092956543 + ], + [ + "grabbing", + -13.061871528625488 + ], + [ + "▁Cardiff", + -13.061897277832031 + ], + [ + "▁Trophy", + -13.062084197998047 + ], + [ + "▁pupil", + -13.062117576599121 + ], + [ + "▁invoke", + -13.062161445617676 + ], + [ + "bezüglich", + -13.062193870544434 + ], + [ + "Anschließend", + -13.062275886535645 + ], + [ + "perks", + -13.062360763549805 + ], + [ + "530", + -13.062373161315918 + ], + [ + "▁emblem", + -13.062431335449219 + ], + [ + "770", + -13.062543869018555 + ], + [ + "clairement", + -13.062590599060059 + ], + [ + "▁sublinia", + -13.062597274780273 + ], + [ + "▁1910", + -13.062719345092773 + ], + [ + "▁Embassy", + -13.062740325927734 + ], + [ + "▁Valencia", + -13.062740325927734 + ], + [ + "▁catastrophic", + -13.062740325927734 + ], + [ + "▁simulator", + -13.06274700164795 + ], + [ + "Pierre", + -13.062766075134277 + ], + [ + "▁doorstep", + -13.062806129455566 + ], + [ + "▁rallie", + -13.062881469726562 + ], + [ + "▁șans", + -13.062891960144043 + ], + [ + "▁crosses", + -13.06300163269043 + ], + [ + "▁zodi", + -13.06312084197998 + ], + [ + "Next", + -13.06314754486084 + ], + [ + "▁rebuilt", + -13.063152313232422 + ], + [ + "▁panorama", + -13.063222885131836 + ], + [ + "196", + -13.06324291229248 + ], + [ + "▁erinnert", + -13.06370735168457 + ], + [ + "lism", + -13.06371784210205 + ], + [ + "opened", + -13.06383228302002 + ], + [ + "▁breakout", + -13.064126014709473 + ], + [ + "▁mosque", + -13.064153671264648 + ], + [ + "boc", + -13.064507484436035 + ], + [ + "▁grout", + -13.064568519592285 + ], + [ + "▁Gather", + -13.064582824707031 + ], + [ + "▁vampire", + -13.06467342376709 + ], + [ + "▁tandem", + -13.064684867858887 + ], + [ + "▁pastra", + -13.064702033996582 + ], + [ + "▁lösen", + -13.064794540405273 + ], + [ + "▁discontinu", + -13.064826965332031 + ], + [ + "fuses", + -13.064885139465332 + ], + [ + "▁identitate", + -13.064947128295898 + ], + [ + "BAC", + -13.064964294433594 + ], + [ + "▁$100,000", + -13.065122604370117 + ], + [ + "Finder", + -13.06515121459961 + ], + [ + "▁Leicester", + -13.065157890319824 + ], + [ + "▁1933", + -13.065159797668457 + ], + [ + "informatiile", + -13.065234184265137 + ], + [ + "lädt", + -13.065309524536133 + ], + [ + "iggle", + -13.065399169921875 + ], + [ + "▁Discuss", + -13.065462112426758 + ], + [ + "distributing", + -13.065470695495605 + ], + [ + "▁disappoint", + -13.065475463867188 + ], + [ + "ecţia", + -13.065611839294434 + ], + [ + "▁condiment", + -13.065640449523926 + ], + [ + "▁Marriott", + -13.065642356872559 + ], + [ + "▁entspannt", + -13.065644264221191 + ], + [ + "arbitrary", + -13.06564998626709 + ], + [ + "rühren", + -13.06574821472168 + ], + [ + "Intensiv", + -13.065771102905273 + ], + [ + "eliminare", + -13.065895080566406 + ], + [ + "muster", + -13.06594467163086 + ], + [ + "▁komplexe", + -13.066130638122559 + ], + [ + "▁(2008)", + -13.066184997558594 + ], + [ + "absolument", + -13.066349029541016 + ], + [ + "aloo", + -13.066420555114746 + ], + [ + "cererea", + -13.06655216217041 + ], + [ + "▁imobiliar", + -13.066696166992188 + ], + [ + "▁paramount", + -13.066705703735352 + ], + [ + "▁Vince", + -13.066723823547363 + ], + [ + "pov", + -13.067076683044434 + ], + [ + "▁conveyor", + -13.067549705505371 + ], + [ + "▁Natalie", + -13.067583084106445 + ], + [ + "▁Comedy", + -13.067623138427734 + ], + [ + "Developing", + -13.0678129196167 + ], + [ + "disputed", + -13.067878723144531 + ], + [ + "164", + -13.067911148071289 + ], + [ + "▁Communist", + -13.067949295043945 + ], + [ + "▁Bahnhof", + -13.06806468963623 + ], + [ + "dokument", + -13.068145751953125 + ], + [ + "▁Somali", + -13.06828498840332 + ], + [ + "▁Strasbourg", + -13.068503379821777 + ], + [ + "▁Technician", + -13.068550109863281 + ], + [ + "▁subsidies", + -13.068633079528809 + ], + [ + "judeţul", + -13.068723678588867 + ], + [ + "▁bible", + -13.068769454956055 + ], + [ + "gefahren", + -13.068855285644531 + ], + [ + "▁literal", + -13.068882942199707 + ], + [ + "▁diminish", + -13.068940162658691 + ], + [ + "Sfântul", + -13.0689697265625 + ], + [ + "▁doreșt", + -13.068978309631348 + ], + [ + "▁Xiaomi", + -13.069036483764648 + ], + [ + "▁planète", + -13.069130897521973 + ], + [ + "▁LTD", + -13.069175720214844 + ], + [ + "▁Zugriff", + -13.069196701049805 + ], + [ + "beginn", + -13.06921672821045 + ], + [ + "▁Einführung", + -13.069294929504395 + ], + [ + "▁coronar", + -13.069393157958984 + ], + [ + "lomi", + -13.0693941116333 + ], + [ + "▁Accueil", + -13.0695219039917 + ], + [ + "scanned", + -13.069528579711914 + ], + [ + "▁Banque", + -13.06952953338623 + ], + [ + "▁réaction", + -13.069531440734863 + ], + [ + "▁Hoffman", + -13.069546699523926 + ], + [ + "▁merveille", + -13.069637298583984 + ], + [ + "navigating", + -13.069719314575195 + ], + [ + "schalten", + -13.06984806060791 + ], + [ + "▁ieşi", + -13.070136070251465 + ], + [ + "1-6", + -13.070175170898438 + ], + [ + "▁frustr", + -13.070670127868652 + ], + [ + "▁réfléchi", + -13.0709810256958 + ], + [ + "▁difuz", + -13.071100234985352 + ], + [ + "▁freue", + -13.07121753692627 + ], + [ + "besuch", + -13.071349143981934 + ], + [ + "153", + -13.071386337280273 + ], + [ + "▁butterflies", + -13.071467399597168 + ], + [ + "▁terrifying", + -13.071467399597168 + ], + [ + "▁încuraj", + -13.071468353271484 + ], + [ + "▁Château", + -13.071470260620117 + ], + [ + "▁contingent", + -13.071474075317383 + ], + [ + "▁abusive", + -13.0714750289917 + ], + [ + "▁SharePoint", + -13.07148551940918 + ], + [ + "▁skating", + -13.071573257446289 + ], + [ + "▁militaire", + -13.07166576385498 + ], + [ + "▁Vig", + -13.071690559387207 + ], + [ + "omics", + -13.071840286254883 + ], + [ + "▁Blockchain", + -13.07197093963623 + ], + [ + "▁principii", + -13.071975708007812 + ], + [ + "▁permitting", + -13.071979522705078 + ], + [ + "optimisation", + -13.072270393371582 + ], + [ + "▁maintien", + -13.072328567504883 + ], + [ + "▁Aluminum", + -13.072442054748535 + ], + [ + "▁Plymouth", + -13.072443008422852 + ], + [ + "▁Weiterbildung", + -13.072457313537598 + ], + [ + "▁Finanzierung", + -13.072505950927734 + ], + [ + "▁Kerala", + -13.072514533996582 + ], + [ + "insulated", + -13.072668075561523 + ], + [ + "▁loaf", + -13.072802543640137 + ], + [ + "▁Sammlung", + -13.072929382324219 + ], + [ + "▁îndepărt", + -13.072930335998535 + ], + [ + "▁Gewerbe", + -13.072942733764648 + ], + [ + "udel", + -13.072988510131836 + ], + [ + "▁coursework", + -13.073104858398438 + ], + [ + "▁Darstellung", + -13.073246002197266 + ], + [ + "▁indeplin", + -13.073433876037598 + ], + [ + "▁Gandhi", + -13.073434829711914 + ], + [ + "tossed", + -13.07361888885498 + ], + [ + "ewed", + -13.073844909667969 + ], + [ + "▁classement", + -13.073884963989258 + ], + [ + "▁Protestant", + -13.073905944824219 + ], + [ + "▁frumoasă", + -13.073905944824219 + ], + [ + "▁pantalon", + -13.073906898498535 + ], + [ + "▁rivet", + -13.073966979980469 + ], + [ + "▁Echt", + -13.0741605758667 + ], + [ + "erviciului", + -13.07421588897705 + ], + [ + "fabricated", + -13.074322700500488 + ], + [ + "Compania", + -13.074372291564941 + ], + [ + "▁juvenile", + -13.074394226074219 + ], + [ + "▁souligne", + -13.07444953918457 + ], + [ + "▁chrono", + -13.07447338104248 + ], + [ + "▁VII", + -13.074594497680664 + ], + [ + "▁Kirch", + -13.074714660644531 + ], + [ + "catcher", + -13.075014114379883 + ], + [ + "salv", + -13.075263023376465 + ], + [ + "▁Enforcement", + -13.075370788574219 + ], + [ + "▁Penguin", + -13.075410842895508 + ], + [ + "kowski", + -13.075465202331543 + ], + [ + "▁2:1", + -13.075470924377441 + ], + [ + "gesundheit", + -13.075475692749023 + ], + [ + "▁unveil", + -13.075519561767578 + ], + [ + "bending", + -13.075531959533691 + ], + [ + "▁conecta", + -13.075579643249512 + ], + [ + "▁faim", + -13.075885772705078 + ], + [ + "▁MacBook", + -13.075969696044922 + ], + [ + "versuch", + -13.07600212097168 + ], + [ + "▁regiuni", + -13.076029777526855 + ], + [ + "▁Willow", + -13.076184272766113 + ], + [ + "▁finanziell", + -13.076303482055664 + ], + [ + "▁nurturing", + -13.076354026794434 + ], + [ + "impuls", + -13.076370239257812 + ], + [ + "▁funktionieren", + -13.076371192932129 + ], + [ + "▁rezult", + -13.076554298400879 + ], + [ + "▁spui", + -13.076593399047852 + ], + [ + "▁walkway", + -13.076653480529785 + ], + [ + "▁Rauch", + -13.076708793640137 + ], + [ + "169", + -13.076793670654297 + ], + [ + "610", + -13.076863288879395 + ], + [ + "▁scazut", + -13.0773286819458 + ], + [ + "▁Garrett", + -13.077329635620117 + ], + [ + "▁necesită", + -13.077352523803711 + ], + [ + "Articolul", + -13.077364921569824 + ], + [ + "numită", + -13.077371597290039 + ], + [ + "Coastal", + -13.077383041381836 + ], + [ + "▁canned", + -13.077421188354492 + ], + [ + "▁Friendly", + -13.077499389648438 + ], + [ + "dissolved", + -13.0775728225708 + ], + [ + "seid", + -13.077674865722656 + ], + [ + "▁feminin", + -13.077685356140137 + ], + [ + "▁fetch", + -13.077710151672363 + ], + [ + "▁Accent", + -13.077767372131348 + ], + [ + "phrase", + -13.077771186828613 + ], + [ + "effekt", + -13.077775955200195 + ], + [ + "▁Progressive", + -13.077777862548828 + ], + [ + "▁canadien", + -13.077820777893066 + ], + [ + "iety", + -13.077839851379395 + ], + [ + "eignen", + -13.077984809875488 + ], + [ + "paraître", + -13.07812213897705 + ], + [ + "▁asylum", + -13.07833194732666 + ], + [ + "▁Albany", + -13.078362464904785 + ], + [ + "▁remis", + -13.078386306762695 + ], + [ + "▁Joyce", + -13.078664779663086 + ], + [ + "schätzt", + -13.078784942626953 + ], + [ + "▁begleiten", + -13.078801155090332 + ], + [ + "▁Siemens", + -13.079007148742676 + ], + [ + "▁schlimm", + -13.079061508178711 + ], + [ + "▁Libra", + -13.079254150390625 + ], + [ + "▁Composite", + -13.079290390014648 + ], + [ + "▁écr", + -13.079315185546875 + ], + [ + "disciplina", + -13.079379081726074 + ], + [ + "▁premature", + -13.079630851745605 + ], + [ + "▁scopuri", + -13.079681396484375 + ], + [ + "ffnung", + -13.079715728759766 + ], + [ + "7000", + -13.079726219177246 + ], + [ + "▁conséquent", + -13.079780578613281 + ], + [ + "▁côte", + -13.079787254333496 + ], + [ + "celul", + -13.079872131347656 + ], + [ + "▁fourteen", + -13.079940795898438 + ], + [ + "▁Riverside", + -13.080077171325684 + ], + [ + "gemacht", + -13.08013916015625 + ], + [ + "▁volcanic", + -13.080272674560547 + ], + [ + "▁Salesforce", + -13.080315589904785 + ], + [ + "▁Granite", + -13.080317497253418 + ], + [ + "▁Zentral", + -13.080329895019531 + ], + [ + "▁Female", + -13.080341339111328 + ], + [ + "▁culmin", + -13.08047103881836 + ], + [ + "▁urmatoare", + -13.080547332763672 + ], + [ + "toxicity", + -13.080560684204102 + ], + [ + "▁mâna", + -13.080678939819336 + ], + [ + "▁Umfang", + -13.080764770507812 + ], + [ + "▁Encore", + -13.08077621459961 + ], + [ + "▁Edgar", + -13.080831527709961 + ], + [ + "▁négoci", + -13.080852508544922 + ], + [ + "njeux", + -13.080873489379883 + ], + [ + "▁variance", + -13.080917358398438 + ], + [ + "▁Functional", + -13.080973625183105 + ], + [ + "172", + -13.081046104431152 + ], + [ + "▁dissolve", + -13.0811185836792 + ], + [ + "förderung", + -13.081188201904297 + ], + [ + "▁Brilliant", + -13.081254959106445 + ], + [ + "▁comprehension", + -13.081254959106445 + ], + [ + "▁soybean", + -13.081254959106445 + ], + [ + "▁standalone", + -13.081255912780762 + ], + [ + "▁Communi", + -13.081303596496582 + ], + [ + "▁ajut", + -13.081313133239746 + ], + [ + "▁lavish", + -13.081338882446289 + ], + [ + "Ouest", + -13.081384658813477 + ], + [ + "▁Maggie", + -13.081385612487793 + ], + [ + "▁evolutionary", + -13.081550598144531 + ], + [ + "bowel", + -13.081575393676758 + ], + [ + "▁glyco", + -13.081626892089844 + ], + [ + "▁Happi", + -13.081706047058105 + ], + [ + "organising", + -13.081710815429688 + ], + [ + "▁übernimm", + -13.081727027893066 + ], + [ + "▁snowboard", + -13.081793785095215 + ], + [ + "▁prévention", + -13.081830024719238 + ], + [ + "▁Celebrate", + -13.082160949707031 + ], + [ + "▁pottery", + -13.082254409790039 + ], + [ + "▁Outstanding", + -13.082328796386719 + ], + [ + "▁toamna", + -13.082331657409668 + ], + [ + "▁graceful", + -13.082548141479492 + ], + [ + "197", + -13.082559585571289 + ], + [ + "strecke", + -13.082598686218262 + ], + [ + "▁medizinische", + -13.082733154296875 + ], + [ + "216", + -13.082839965820312 + ], + [ + "▁prune", + -13.082868576049805 + ], + [ + "Pourtant", + -13.083000183105469 + ], + [ + "▁Difference", + -13.083224296569824 + ], + [ + "▁factura", + -13.083830833435059 + ], + [ + "Mass", + -13.084161758422852 + ], + [ + "▁Enhanc", + -13.084190368652344 + ], + [ + "upholstered", + -13.084209442138672 + ], + [ + "▁übernommen", + -13.084209442138672 + ], + [ + "▁mitigation", + -13.084210395812988 + ], + [ + "▁Hidden", + -13.084219932556152 + ], + [ + "▁Häuser", + -13.084234237670898 + ], + [ + "▁Pavel", + -13.084403991699219 + ], + [ + "▁congress", + -13.084512710571289 + ], + [ + "▁antibody", + -13.084598541259766 + ], + [ + "▁stitches", + -13.084811210632324 + ], + [ + "▁colonies", + -13.084820747375488 + ], + [ + "Into", + -13.084900856018066 + ], + [ + "▁démo", + -13.084924697875977 + ], + [ + "▁MVP", + -13.085041046142578 + ], + [ + "▁replay", + -13.085062026977539 + ], + [ + "▁usoara", + -13.08522891998291 + ], + [ + "▁Breast", + -13.085278511047363 + ], + [ + "ooney", + -13.085336685180664 + ], + [ + "▁außen", + -13.085663795471191 + ], + [ + "▁Motorola", + -13.085695266723633 + ], + [ + "▁spalat", + -13.08578109741211 + ], + [ + "euillez", + -13.086088180541992 + ], + [ + "▁jeunesse", + -13.086170196533203 + ], + [ + "▁pastoral", + -13.086174011230469 + ], + [ + "▁Sussex", + -13.086185455322266 + ], + [ + "▁stencil", + -13.08619213104248 + ], + [ + "▁organismului", + -13.086504936218262 + ], + [ + "seized", + -13.086649894714355 + ], + [ + "▁întrebare", + -13.086865425109863 + ], + [ + "cliquez", + -13.086874961853027 + ], + [ + "5.7", + -13.086984634399414 + ], + [ + "▁Yama", + -13.087080955505371 + ], + [ + "painted", + -13.08708667755127 + ], + [ + "▁Swimming", + -13.087176322937012 + ], + [ + "Rhythm", + -13.087202072143555 + ], + [ + "▁sorrow", + -13.087210655212402 + ], + [ + "▁Movers", + -13.08731460571289 + ], + [ + "renforcer", + -13.08735466003418 + ], + [ + "▁Wach", + -13.087381362915039 + ], + [ + "0,00", + -13.087390899658203 + ], + [ + "▁glove", + -13.08753490447998 + ], + [ + "▁stâng", + -13.087669372558594 + ], + [ + "rgendwann", + -13.087687492370605 + ], + [ + "▁Philippine", + -13.08769416809082 + ], + [ + "▁anunțat", + -13.087716102600098 + ], + [ + "▁Coleman", + -13.087723731994629 + ], + [ + "affir", + -13.087918281555176 + ], + [ + "uleiul", + -13.08808422088623 + ], + [ + "▁Coconut", + -13.088197708129883 + ], + [ + "▁Supplement", + -13.088210105895996 + ], + [ + "haudiere", + -13.088293075561523 + ], + [ + "▁kettle", + -13.088313102722168 + ], + [ + "▁3,5", + -13.088370323181152 + ], + [ + "refurbished", + -13.088425636291504 + ], + [ + "esthétique", + -13.088665962219238 + ], + [ + "performing", + -13.088667869567871 + ], + [ + "▁Engag", + -13.088762283325195 + ], + [ + "Group", + -13.088801383972168 + ], + [ + "▁viande", + -13.088887214660645 + ], + [ + "▁oricum", + -13.088888168334961 + ], + [ + "Spitalul", + -13.089093208312988 + ], + [ + "▁cesse", + -13.089110374450684 + ], + [ + "▁contradiction", + -13.089130401611328 + ], + [ + "▁Chrysler", + -13.089154243469238 + ], + [ + "▁poultry", + -13.089154243469238 + ], + [ + "▁thirteen", + -13.089154243469238 + ], + [ + "▁sightseeing", + -13.089155197143555 + ], + [ + "▁Miguel", + -13.089158058166504 + ], + [ + "▁terminology", + -13.089334487915039 + ], + [ + "▁Genetic", + -13.089553833007812 + ], + [ + "commercial", + -13.08963394165039 + ], + [ + "gehoben", + -13.08965015411377 + ], + [ + "RIGHT", + -13.08995532989502 + ], + [ + "▁proprietate", + -13.089990615844727 + ], + [ + "▁Cannes", + -13.090012550354004 + ], + [ + "▁klicken", + -13.090023040771484 + ], + [ + "▁Belgique", + -13.0901460647583 + ], + [ + "tapped", + -13.09034538269043 + ], + [ + "kinetic", + -13.090569496154785 + ], + [ + "▁feuilles", + -13.090673446655273 + ], + [ + "whitening", + -13.090760231018066 + ], + [ + "Any", + -13.090946197509766 + ], + [ + "Manager", + -13.091099739074707 + ], + [ + "▁constatat", + -13.091106414794922 + ], + [ + "▁Myanmar", + -13.091140747070312 + ], + [ + "▁Examination", + -13.091142654418945 + ], + [ + "▁règle", + -13.091208457946777 + ], + [ + "▁umgesetzt", + -13.09128475189209 + ], + [ + "211", + -13.091336250305176 + ], + [ + "▁Herald", + -13.091449737548828 + ], + [ + "Alex", + -13.091680526733398 + ], + [ + "▁drauf", + -13.091707229614258 + ], + [ + "logger", + -13.091714859008789 + ], + [ + "▁pictur", + -13.09186840057373 + ], + [ + "▁Divi", + -13.09196949005127 + ], + [ + "▁furnizat", + -13.092089653015137 + ], + [ + "▁verzichten", + -13.092132568359375 + ], + [ + "▁Sergi", + -13.092199325561523 + ], + [ + "contaminated", + -13.09223747253418 + ], + [ + "▁Buddy", + -13.092243194580078 + ], + [ + "▁chilled", + -13.092268943786621 + ], + [ + "▁vorlieg", + -13.092317581176758 + ], + [ + "▁Claudia", + -13.092632293701172 + ], + [ + "▁miserable", + -13.092653274536133 + ], + [ + "▁sketches", + -13.092683792114258 + ], + [ + "schicken", + -13.092814445495605 + ], + [ + "since", + -13.0928373336792 + ], + [ + "2.9", + -13.092840194702148 + ], + [ + "▁sitzen", + -13.092928886413574 + ], + [ + "ceapa", + -13.093396186828613 + ], + [ + "respectarea", + -13.093438148498535 + ], + [ + "▁handheld", + -13.093448638916016 + ], + [ + "popular", + -13.093527793884277 + ], + [ + "calming", + -13.093603134155273 + ], + [ + "Govern", + -13.093632698059082 + ], + [ + "▁omega", + -13.093645095825195 + ], + [ + "▁Planner", + -13.093791007995605 + ], + [ + "enriched", + -13.093850135803223 + ], + [ + "154", + -13.093976974487305 + ], + [ + "▁autorisé", + -13.093989372253418 + ], + [ + "▁cadouri", + -13.09407901763916 + ], + [ + "▁vulnerabilities", + -13.094143867492676 + ], + [ + "▁Arbeitnehmer", + -13.094158172607422 + ], + [ + "éditeur", + -13.094234466552734 + ], + [ + "▁Anleitung", + -13.094317436218262 + ], + [ + "rubbing", + -13.094343185424805 + ], + [ + "▁autovehicul", + -13.094621658325195 + ], + [ + "▁öffnen", + -13.094621658325195 + ], + [ + "▁Napoleon", + -13.094622611999512 + ], + [ + "▁cliché", + -13.094637870788574 + ], + [ + "▁Schaf", + -13.09469985961914 + ], + [ + "regulating", + -13.094894409179688 + ], + [ + "▁Kühl", + -13.09490966796875 + ], + [ + "▁blush", + -13.094913482666016 + ], + [ + "▁discard", + -13.094992637634277 + ], + [ + "▁confine", + -13.095027923583984 + ], + [ + "▁Rodriguez", + -13.09511947631836 + ], + [ + "▁ADHD", + -13.095165252685547 + ], + [ + "▁Madame", + -13.09516716003418 + ], + [ + "▁résolution", + -13.095319747924805 + ], + [ + "▁flair", + -13.095369338989258 + ], + [ + "▁claw", + -13.095422744750977 + ], + [ + "▁1929", + -13.095643043518066 + ], + [ + "ETH", + -13.095672607421875 + ], + [ + "nähe", + -13.095804214477539 + ], + [ + "▁soothe", + -13.0958251953125 + ], + [ + "4.9", + -13.095833778381348 + ], + [ + "montée", + -13.095925331115723 + ], + [ + "confirming", + -13.095989227294922 + ], + [ + "continent", + -13.09613037109375 + ], + [ + "reiz", + -13.09643840789795 + ], + [ + "john", + -13.096577644348145 + ], + [ + "IONAL", + -13.096588134765625 + ], + [ + "▁exported", + -13.0966215133667 + ], + [ + "▁Prison", + -13.096651077270508 + ], + [ + "possessed", + -13.096952438354492 + ], + [ + "▁placebo", + -13.096991539001465 + ], + [ + "▁biodiversity", + -13.097116470336914 + ], + [ + "▁combustion", + -13.097116470336914 + ], + [ + "▁Plumbing", + -13.09711742401123 + ], + [ + "ixie", + -13.097124099731445 + ], + [ + "▁repetition", + -13.09715461730957 + ], + [ + "▁soumis", + -13.097372055053711 + ], + [ + "▁reduc", + -13.097671508789062 + ], + [ + "▁constrain", + -13.097759246826172 + ], + [ + "Anti", + -13.097760200500488 + ], + [ + "consolidated", + -13.097817420959473 + ], + [ + "214", + -13.098095893859863 + ], + [ + "▁breaches", + -13.098108291625977 + ], + [ + "infringement", + -13.098115921020508 + ], + [ + "▁drizzle", + -13.098115921020508 + ], + [ + "▁erhöhen", + -13.098116874694824 + ], + [ + "▁Somerset", + -13.098118782043457 + ], + [ + "▁blonde", + -13.098132133483887 + ], + [ + "▁Funny", + -13.09813404083252 + ], + [ + "tuşi", + -13.098149299621582 + ], + [ + "▁reinvent", + -13.098162651062012 + ], + [ + "▁sérieux", + -13.098247528076172 + ], + [ + "▁croire", + -13.098308563232422 + ], + [ + "general", + -13.098315238952637 + ], + [ + "▁Distance", + -13.098319053649902 + ], + [ + "▁VoIP", + -13.098348617553711 + ], + [ + "▁adăugat", + -13.098406791687012 + ], + [ + "matik", + -13.098546028137207 + ], + [ + "▁avatar", + -13.098647117614746 + ], + [ + "▁superstar", + -13.098804473876953 + ], + [ + "8.0", + -13.098814010620117 + ], + [ + "lusieurs", + -13.098982810974121 + ], + [ + "▁Judeţean", + -13.099117279052734 + ], + [ + "offenen", + -13.099128723144531 + ], + [ + "RAF", + -13.099133491516113 + ], + [ + "▁restroom", + -13.099207878112793 + ], + [ + "enfance", + -13.099348068237305 + ], + [ + "▁garnish", + -13.099499702453613 + ], + [ + "▁vermittelt", + -13.099631309509277 + ], + [ + "Histoire", + -13.099634170532227 + ], + [ + "cyan", + -13.100628852844238 + ], + [ + "Talk", + -13.100666046142578 + ], + [ + "▁Varianten", + -13.10069465637207 + ], + [ + "▁Lille", + -13.10085678100586 + ], + [ + "▁offenbar", + -13.10098934173584 + ], + [ + "▁rénovation", + -13.10112190246582 + ], + [ + "▁comentarii", + -13.101249694824219 + ], + [ + "▁Bedford", + -13.10130500793457 + ], + [ + "▁cercetări", + -13.101325988769531 + ], + [ + "▁précision", + -13.101337432861328 + ], + [ + "MRC", + -13.101358413696289 + ], + [ + "alterations", + -13.101476669311523 + ], + [ + "▁discours", + -13.101531028747559 + ], + [ + "äger", + -13.101577758789062 + ], + [ + "▁antreprenor", + -13.101622581481934 + ], + [ + "▁Oriental", + -13.101849555969238 + ], + [ + "conducerea", + -13.101868629455566 + ], + [ + "CBC", + -13.101932525634766 + ], + [ + "▁mince", + -13.101985931396484 + ], + [ + "▁presidency", + -13.10212516784668 + ], + [ + "▁lipstick", + -13.102167129516602 + ], + [ + "▁SERVICES", + -13.102237701416016 + ], + [ + "productive", + -13.10237979888916 + ], + [ + "Assad", + -13.102400779724121 + ], + [ + "▁efectiv", + -13.102540969848633 + ], + [ + "▁gestern", + -13.102596282958984 + ], + [ + "▁RGB", + -13.102606773376465 + ], + [ + "▁Transilvania", + -13.102627754211426 + ], + [ + "▁Raleigh", + -13.102670669555664 + ], + [ + "DOM", + -13.102702140808105 + ], + [ + "▁iesit", + -13.102806091308594 + ], + [ + "▁anuntat", + -13.102810859680176 + ], + [ + "▁automatiquement", + -13.102901458740234 + ], + [ + "▁proliferation", + -13.103130340576172 + ], + [ + "▁Maroc", + -13.103156089782715 + ], + [ + "▁prezenţ", + -13.10323429107666 + ], + [ + "▁Filipino", + -13.103296279907227 + ], + [ + "▁Traian", + -13.103351593017578 + ], + [ + "▁swimmer", + -13.10356616973877 + ], + [ + "▁Slovenia", + -13.103632926940918 + ], + [ + "phobia", + -13.103724479675293 + ], + [ + "curricular", + -13.103734016418457 + ], + [ + "jurnal", + -13.103825569152832 + ], + [ + "▁vorne", + -13.103870391845703 + ], + [ + "▁asuma", + -13.103875160217285 + ], + [ + "defended", + -13.104104995727539 + ], + [ + "▁imminent", + -13.104140281677246 + ], + [ + "favored", + -13.10417366027832 + ], + [ + "▁innovator", + -13.104179382324219 + ], + [ + "▁Salzburg", + -13.104289054870605 + ], + [ + "5.4", + -13.104452133178711 + ], + [ + "Safe", + -13.104597091674805 + ], + [ + "▁inteleg", + -13.104744911193848 + ], + [ + "▁charisma", + -13.104781150817871 + ], + [ + "nature", + -13.104784965515137 + ], + [ + "4.8", + -13.104942321777344 + ], + [ + "argues", + -13.105104446411133 + ], + [ + "▁dimensiune", + -13.105142593383789 + ], + [ + "▁subdivision", + -13.105142593383789 + ], + [ + "▁embarrassing", + -13.105144500732422 + ], + [ + "▁confuse", + -13.105207443237305 + ], + [ + "DIC", + -13.105460166931152 + ], + [ + "rubrique", + -13.10549545288086 + ], + [ + "dépendance", + -13.105598449707031 + ], + [ + "INCLUD", + -13.10565185546875 + ], + [ + "▁Griffin", + -13.10574722290039 + ], + [ + "157", + -13.105751037597656 + ], + [ + "▁revamp", + -13.105839729309082 + ], + [ + "▁umgehen", + -13.10595989227295 + ], + [ + "▁mențin", + -13.106231689453125 + ], + [ + "▁1937", + -13.106695175170898 + ], + [ + "eklagte", + -13.106766700744629 + ], + [ + "▁clientèle", + -13.106801986694336 + ], + [ + "▁campsite", + -13.10708999633789 + ], + [ + "▁florist", + -13.107144355773926 + ], + [ + "▁Ferguson", + -13.107159614562988 + ], + [ + "▁demolition", + -13.107160568237305 + ], + [ + "▁McCain", + -13.107254981994629 + ], + [ + "▁reckon", + -13.10733413696289 + ], + [ + "striped", + -13.107414245605469 + ], + [ + "▁sonore", + -13.107481002807617 + ], + [ + "migrated", + -13.107548713684082 + ], + [ + "▁fluorescent", + -13.107664108276367 + ], + [ + "▁Colegi", + -13.107762336730957 + ], + [ + "ianu", + -13.107860565185547 + ], + [ + "cruising", + -13.107882499694824 + ], + [ + "LINK", + -13.107965469360352 + ], + [ + "▁Cutting", + -13.108001708984375 + ], + [ + "ABILITY", + -13.108168601989746 + ], + [ + "▁Categories", + -13.108168601989746 + ], + [ + "▁erhoben", + -13.108168601989746 + ], + [ + "▁Cocktail", + -13.108169555664062 + ], + [ + "▁Generator", + -13.108177185058594 + ], + [ + "▁gesucht", + -13.108186721801758 + ], + [ + "▁telescope", + -13.10818862915039 + ], + [ + "KET", + -13.108192443847656 + ], + [ + "▁hilfreich", + -13.108192443847656 + ], + [ + "▁beneficiary", + -13.108585357666016 + ], + [ + "▁Winston", + -13.108636856079102 + ], + [ + "Auswirkungen", + -13.108675956726074 + ], + [ + "portrayed", + -13.108705520629883 + ], + [ + "▁Aspekte", + -13.108743667602539 + ], + [ + "ffected", + -13.108901023864746 + ], + [ + "eutic", + -13.108905792236328 + ], + [ + "International", + -13.109021186828613 + ], + [ + "attente", + -13.109078407287598 + ], + [ + "mentioning", + -13.109119415283203 + ], + [ + "launch", + -13.109129905700684 + ], + [ + "▁EURO", + -13.109152793884277 + ], + [ + "▁Fraser", + -13.109344482421875 + ], + [ + "▁Johannes", + -13.109408378601074 + ], + [ + "▁felicit", + -13.109477043151855 + ], + [ + "▁plâng", + -13.109522819519043 + ], + [ + "izant", + -13.10971736907959 + ], + [ + "▁reţe", + -13.109846115112305 + ], + [ + "Mech", + -13.109954833984375 + ], + [ + "▁algebra", + -13.110193252563477 + ], + [ + "▁surgeries", + -13.110257148742676 + ], + [ + "▁semifinal", + -13.110262870788574 + ], + [ + "▁intimidating", + -13.110288619995117 + ], + [ + "▁exkl", + -13.110604286193848 + ], + [ + "asigurarea", + -13.110918998718262 + ], + [ + "Tek", + -13.111136436462402 + ], + [ + "▁Einladung", + -13.111205101013184 + ], + [ + "▁similaire", + -13.111205101013184 + ], + [ + "▁bebelus", + -13.111221313476562 + ], + [ + "▁déclin", + -13.111400604248047 + ], + [ + "▁Console", + -13.111495018005371 + ], + [ + "RET", + -13.111573219299316 + ], + [ + "appli", + -13.111586570739746 + ], + [ + "45%", + -13.111663818359375 + ], + [ + "Evenimentul", + -13.111811637878418 + ], + [ + "sincerely", + -13.111812591552734 + ], + [ + "sammlung", + -13.112098693847656 + ], + [ + "Amérique", + -13.112220764160156 + ], + [ + "▁1919", + -13.112326622009277 + ], + [ + "regulation", + -13.112367630004883 + ], + [ + "gebäude", + -13.112726211547852 + ], + [ + "▁Perspektive", + -13.112726211547852 + ], + [ + "Espagne", + -13.112744331359863 + ], + [ + "▁Underground", + -13.11283016204834 + ], + [ + "secret", + -13.112833976745605 + ], + [ + "▁Aussicht", + -13.112874031066895 + ], + [ + "Photo", + -13.112977027893066 + ], + [ + "▁Brust", + -13.113144874572754 + ], + [ + "▁Sustainability", + -13.11323356628418 + ], + [ + "▁clădiri", + -13.11323356628418 + ], + [ + "▁librarian", + -13.11323356628418 + ], + [ + "▁HBO", + -13.113235473632812 + ], + [ + "▁Parallel", + -13.113240242004395 + ], + [ + "▁shimmer", + -13.113283157348633 + ], + [ + "▁schlicht", + -13.113292694091797 + ], + [ + "▁anticipat", + -13.113311767578125 + ], + [ + "▁foolish", + -13.11335563659668 + ], + [ + "▁Ability", + -13.11347484588623 + ], + [ + "▁ceremoni", + -13.11358642578125 + ], + [ + "▁Ablauf", + -13.11359977722168 + ], + [ + "icrobial", + -13.113606452941895 + ], + [ + "▁actiuni", + -13.11362361907959 + ], + [ + "▁Wilhelm", + -13.113761901855469 + ], + [ + "▁nennen", + -13.113775253295898 + ], + [ + "▁botez", + -13.113832473754883 + ], + [ + "Alpes", + -13.113912582397461 + ], + [ + "▁libér", + -13.11392593383789 + ], + [ + "▁sneakers", + -13.114052772521973 + ], + [ + "geschafft", + -13.114252090454102 + ], + [ + "▁downstairs", + -13.114261627197266 + ], + [ + "▁wrench", + -13.114294052124023 + ], + [ + "▁erheblich", + -13.11442756652832 + ], + [ + "▁alimentar", + -13.114710807800293 + ], + [ + "▁suger", + -13.11474323272705 + ], + [ + "analysis", + -13.114883422851562 + ], + [ + "öhn", + -13.114891052246094 + ], + [ + "▁Nantes", + -13.114895820617676 + ], + [ + "▁Arbor", + -13.114899635314941 + ], + [ + "ooze", + -13.115150451660156 + ], + [ + "▁facade", + -13.115229606628418 + ], + [ + "▁MySQL", + -13.115266799926758 + ], + [ + "▁Salvador", + -13.115266799926758 + ], + [ + "▁Schlafzimmer", + -13.115279197692871 + ], + [ + "▁autentic", + -13.115320205688477 + ], + [ + "▁prezint", + -13.115348815917969 + ], + [ + "▁campground", + -13.115397453308105 + ], + [ + "Query", + -13.11540412902832 + ], + [ + "bekannt", + -13.115598678588867 + ], + [ + "arcinia", + -13.115632057189941 + ], + [ + "▁stunt", + -13.115825653076172 + ], + [ + "▁informare", + -13.115830421447754 + ], + [ + "▁interzis", + -13.11584186553955 + ], + [ + "▁Burke", + -13.115995407104492 + ], + [ + "certified", + -13.11601734161377 + ], + [ + "▁clove", + -13.11605167388916 + ], + [ + "java", + -13.116271018981934 + ], + [ + "▁Vielfalt", + -13.116284370422363 + ], + [ + "gebung", + -13.116329193115234 + ], + [ + "▁9/11", + -13.116497993469238 + ], + [ + "▁disruptive", + -13.11650562286377 + ], + [ + "visual", + -13.116693496704102 + ], + [ + "▁anunţat", + -13.11679458618164 + ], + [ + "▁Plätze", + -13.116799354553223 + ], + [ + "▁reduceri", + -13.116920471191406 + ], + [ + "autorisation", + -13.116950035095215 + ], + [ + "▁ligament", + -13.11705207824707 + ], + [ + "▁învăța", + -13.117081642150879 + ], + [ + "läufig", + -13.117303848266602 + ], + [ + "▁Copenhagen", + -13.117303848266602 + ], + [ + "▁commodities", + -13.117303848266602 + ], + [ + "▁eindeutig", + -13.117313385009766 + ], + [ + "▁catheter", + -13.117321014404297 + ], + [ + "erklärung", + -13.117720603942871 + ], + [ + "▁intelectual", + -13.117814064025879 + ], + [ + "▁municipality", + -13.117891311645508 + ], + [ + "▁1936", + -13.11798095703125 + ], + [ + "rruption", + -13.118217468261719 + ], + [ + "▁Lafayette", + -13.118324279785156 + ], + [ + "▁berühmte", + -13.118324279785156 + ], + [ + "▁idylli", + -13.118325233459473 + ], + [ + "▁caldura", + -13.118447303771973 + ], + [ + "▁tablette", + -13.118535995483398 + ], + [ + "▁liquidity", + -13.118728637695312 + ], + [ + "NGOs", + -13.118885040283203 + ], + [ + "▁supliment", + -13.11889934539795 + ], + [ + "contact", + -13.119075775146484 + ], + [ + "lustig", + -13.119219779968262 + ], + [ + "▁watercolor", + -13.119319915771484 + ], + [ + "▁Tiffany", + -13.119344711303711 + ], + [ + "▁Glauben", + -13.119365692138672 + ], + [ + "Immobilie", + -13.119406700134277 + ], + [ + "▁stripped", + -13.119549751281738 + ], + [ + "▁Beatles", + -13.119601249694824 + ], + [ + "ани", + -13.119770050048828 + ], + [ + "▁lifespan", + -13.119986534118652 + ], + [ + "▁profondeur", + -13.120251655578613 + ], + [ + "▁durere", + -13.120329856872559 + ], + [ + "▁Lithuania", + -13.120367050170898 + ], + [ + "▁resurrection", + -13.120367050170898 + ], + [ + "▁suitcase", + -13.120535850524902 + ], + [ + "▁Plumber", + -13.120545387268066 + ], + [ + "criticized", + -13.120595932006836 + ], + [ + "feared", + -13.120756149291992 + ], + [ + "▁Aunt", + -13.120929718017578 + ], + [ + "otwithstanding", + -13.121068000793457 + ], + [ + "verständlich", + -13.12115478515625 + ], + [ + "fiber", + -13.121248245239258 + ], + [ + "headquartered", + -13.121390342712402 + ], + [ + "▁Perspective", + -13.121391296386719 + ], + [ + "▁semantic", + -13.121413230895996 + ], + [ + "VIEW", + -13.121431350708008 + ], + [ + "▁Ersatzteile", + -13.121567726135254 + ], + [ + "▁disgust", + -13.121685981750488 + ], + [ + "rrington", + -13.121834754943848 + ], + [ + "ässe", + -13.121922492980957 + ], + [ + "▁anerkannt", + -13.121956825256348 + ], + [ + "meaning", + -13.12203598022461 + ], + [ + "178", + -13.122039794921875 + ], + [ + "▁grupuri", + -13.1221284866333 + ], + [ + "ciones", + -13.122267723083496 + ], + [ + "▁Mobility", + -13.122414588928223 + ], + [ + "▁unstable", + -13.122422218322754 + ], + [ + "▁FULL", + -13.122456550598145 + ], + [ + "austausch", + -13.122491836547852 + ], + [ + "▁culminat", + -13.122549057006836 + ], + [ + "▁Roast", + -13.122742652893066 + ], + [ + "existant", + -13.122940063476562 + ], + [ + "167", + -13.123008728027344 + ], + [ + "tinerii", + -13.123040199279785 + ], + [ + "September", + -13.123115539550781 + ], + [ + "▁haircut", + -13.123274803161621 + ], + [ + "▁Tutorial", + -13.123440742492676 + ], + [ + "▁enquiries", + -13.123440742492676 + ], + [ + "▁livelihood", + -13.123440742492676 + ], + [ + "▁proficiency", + -13.123440742492676 + ], + [ + "▁pavement", + -13.123443603515625 + ], + [ + "▁Reservation", + -13.123445510864258 + ], + [ + "aimerai", + -13.123491287231445 + ], + [ + "▁laboratoire", + -13.123492240905762 + ], + [ + "leihen", + -13.123501777648926 + ], + [ + "ministerium", + -13.123518943786621 + ], + [ + "▁Concentr", + -13.12366008758545 + ], + [ + "▁swipe", + -13.12368106842041 + ], + [ + "extrêmement", + -13.123687744140625 + ], + [ + "cultivated", + -13.123708724975586 + ], + [ + "▁Converse", + -13.123845100402832 + ], + [ + "▁paycheck", + -13.123863220214844 + ], + [ + "olltest", + -13.123995780944824 + ], + [ + "▁Bauch", + -13.124022483825684 + ], + [ + "▁autobuz", + -13.124067306518555 + ], + [ + "attack", + -13.124094009399414 + ], + [ + "While", + -13.124311447143555 + ], + [ + "Retrouvez", + -13.124320983886719 + ], + [ + "▁Dolphin", + -13.124466896057129 + ], + [ + "▁Shelby", + -13.124480247497559 + ], + [ + "▁Diagnostic", + -13.124486923217773 + ], + [ + "▁reconcil", + -13.124558448791504 + ], + [ + "▁Iaşi", + -13.124733924865723 + ], + [ + "▁iubesc", + -13.124979972839355 + ], + [ + "▁Bestseller", + -13.124985694885254 + ], + [ + "▁antrenor", + -13.125035285949707 + ], + [ + "▁Imaging", + -13.125089645385742 + ], + [ + "▁priorité", + -13.125295639038086 + ], + [ + "▁brewery", + -13.125494003295898 + ], + [ + "▁residual", + -13.125494003295898 + ], + [ + "▁intermittent", + -13.125494956970215 + ], + [ + "Kollekt", + -13.125585556030273 + ], + [ + "▁Walsh", + -13.12558650970459 + ], + [ + "▁marvelous", + -13.125653266906738 + ], + [ + "canceled", + -13.125686645507812 + ], + [ + "174", + -13.125761985778809 + ], + [ + "normes", + -13.125837326049805 + ], + [ + "▁Tempo", + -13.125996589660645 + ], + [ + "▁Târgu", + -13.126008987426758 + ], + [ + "877", + -13.126165390014648 + ], + [ + "5-8", + -13.126190185546875 + ], + [ + "960", + -13.126486778259277 + ], + [ + "▁Scandinavia", + -13.1265230178833 + ], + [ + "▁prolific", + -13.126526832580566 + ], + [ + "lasi", + -13.126916885375977 + ], + [ + "glück", + -13.127097129821777 + ], + [ + "▁immersion", + -13.127204895019531 + ], + [ + "RSA", + -13.127323150634766 + ], + [ + "▁Polk", + -13.127340316772461 + ], + [ + "▁transmitter", + -13.12747859954834 + ], + [ + "▁Kleidung", + -13.12755298614502 + ], + [ + "▁Cosmo", + -13.127676963806152 + ], + [ + "▁1935", + -13.127788543701172 + ], + [ + "höhere", + -13.127906799316406 + ], + [ + "▁Tatsache", + -13.128074645996094 + ], + [ + "▁Outlet", + -13.1282377243042 + ], + [ + "▁canalisation", + -13.12824821472168 + ], + [ + "Mbps", + -13.128433227539062 + ], + [ + "▁skeptical", + -13.128582954406738 + ], + [ + "mplification", + -13.128617286682129 + ], + [ + "▁Advice", + -13.128618240356445 + ], + [ + "▁détaillé", + -13.128676414489746 + ], + [ + "660", + -13.128701210021973 + ], + [ + "▁eyebrow", + -13.128722190856934 + ], + [ + "▁HIGH", + -13.128898620605469 + ], + [ + "hnlich", + -13.129073143005371 + ], + [ + "▁depăș", + -13.12910270690918 + ], + [ + "▁procurori", + -13.129140853881836 + ], + [ + "▁refrain", + -13.129212379455566 + ], + [ + "▁geschaffen", + -13.12952995300293 + ], + [ + "justement", + -13.129663467407227 + ], + [ + "exposing", + -13.129700660705566 + ], + [ + "243", + -13.1298828125 + ], + [ + "sectorul", + -13.130104064941406 + ], + [ + "▁courrier", + -13.130180358886719 + ], + [ + "▁carcas", + -13.130199432373047 + ], + [ + "sitter", + -13.13022518157959 + ], + [ + "▁Schreiben", + -13.130335807800293 + ], + [ + "▁malfunction", + -13.130358695983887 + ], + [ + "poartă", + -13.130522727966309 + ], + [ + "raisons", + -13.130565643310547 + ], + [ + "▁HOT", + -13.130650520324707 + ], + [ + "▁refreshed", + -13.130730628967285 + ], + [ + "mânt", + -13.130744934082031 + ], + [ + "▁coefficient", + -13.13097858428955 + ], + [ + "▁instituţii", + -13.131194114685059 + ], + [ + "▁sanguin", + -13.131202697753906 + ], + [ + "▁ceci", + -13.131213188171387 + ], + [ + "▁garçon", + -13.131232261657715 + ], + [ + "deluxe", + -13.131237030029297 + ], + [ + "▁rectif", + -13.131311416625977 + ], + [ + "920", + -13.131364822387695 + ], + [ + "Exista", + -13.131428718566895 + ], + [ + "▁magnif", + -13.131568908691406 + ], + [ + "efficiencies", + -13.131681442260742 + ], + [ + "▁Mitsubishi", + -13.131681442260742 + ], + [ + "▁consortium", + -13.131681442260742 + ], + [ + "▁baggage", + -13.131683349609375 + ], + [ + "▁guild", + -13.131736755371094 + ], + [ + "▁sixty", + -13.13193130493164 + ], + [ + "▁Retreat", + -13.13245677947998 + ], + [ + "batting", + -13.132473945617676 + ], + [ + "470", + -13.132708549499512 + ], + [ + "▁Britanie", + -13.132718086242676 + ], + [ + "displaced", + -13.132734298706055 + ], + [ + "▁spați", + -13.132794380187988 + ], + [ + "▁exceptionnelle", + -13.13281536102295 + ], + [ + "▁authorize", + -13.132906913757324 + ], + [ + "▁prescribe", + -13.133187294006348 + ], + [ + "▁dépannage", + -13.133234024047852 + ], + [ + "▁sexuelle", + -13.133234024047852 + ], + [ + "valid", + -13.133275032043457 + ], + [ + "▁hymn", + -13.133752822875977 + ], + [ + "▁histories", + -13.133757591247559 + ], + [ + "▁oriunde", + -13.133764266967773 + ], + [ + "Pop", + -13.133785247802734 + ], + [ + "▁dispoziţi", + -13.133800506591797 + ], + [ + "ADI", + -13.133819580078125 + ], + [ + "Google", + -13.133830070495605 + ], + [ + "▁Autism", + -13.133918762207031 + ], + [ + "▁aggr", + -13.134354591369629 + ], + [ + "bleed", + -13.134618759155273 + ], + [ + "▁displacement", + -13.13478946685791 + ], + [ + "▁hobbies", + -13.13478946685791 + ], + [ + "▁anatomy", + -13.134799003601074 + ], + [ + "▁Klinik", + -13.134821891784668 + ], + [ + "▁CCTV", + -13.1348237991333 + ], + [ + "readable", + -13.134886741638184 + ], + [ + "ulph", + -13.134982109069824 + ], + [ + "metabol", + -13.135035514831543 + ], + [ + "▁rugăm", + -13.135037422180176 + ], + [ + "▁Scotia", + -13.135087013244629 + ], + [ + "▁Einheit", + -13.135211944580078 + ], + [ + "▁troupe", + -13.13581371307373 + ], + [ + "▁Practitioner", + -13.135828018188477 + ], + [ + "▁oarec", + -13.135909080505371 + ], + [ + "Appel", + -13.135998725891113 + ], + [ + "situația", + -13.136096000671387 + ], + [ + "▁Yemen", + -13.136353492736816 + ], + [ + "piping", + -13.136515617370605 + ], + [ + "blood", + -13.136772155761719 + ], + [ + "engraved", + -13.136866569519043 + ], + [ + "▁Cristina", + -13.136866569519043 + ], + [ + "▁inaccurate", + -13.136866569519043 + ], + [ + "savory", + -13.136878967285156 + ], + [ + "atism", + -13.136919021606445 + ], + [ + "▁dependency", + -13.137007713317871 + ], + [ + "▁assertion", + -13.137015342712402 + ], + [ + "▁intersect", + -13.137201309204102 + ], + [ + "DATA", + -13.137224197387695 + ], + [ + "▁britanic", + -13.1373872756958 + ], + [ + "▁sanitaire", + -13.137393951416016 + ], + [ + "▁PLUS", + -13.137436866760254 + ], + [ + "▁platter", + -13.137730598449707 + ], + [ + "▁reconsider", + -13.137802124023438 + ], + [ + "▁Swim", + -13.13786792755127 + ], + [ + "▁Scene", + -13.137896537780762 + ], + [ + "▁Reynolds", + -13.137907028198242 + ], + [ + "▁gesund", + -13.137922286987305 + ], + [ + "international", + -13.137959480285645 + ], + [ + "government", + -13.13804817199707 + ], + [ + "▁gemstone", + -13.138052940368652 + ], + [ + "▁reproductive", + -13.1381196975708 + ], + [ + "▁expressive", + -13.13820743560791 + ], + [ + "▁tranche", + -13.13842487335205 + ], + [ + "▁Niagara", + -13.138427734375 + ], + [ + "▁Studierende", + -13.138434410095215 + ], + [ + "▁crave", + -13.138607025146484 + ], + [ + "pathetic", + -13.138739585876465 + ], + [ + "▁1916", + -13.138858795166016 + ], + [ + "▁Thousand", + -13.138873100280762 + ], + [ + "uffed", + -13.138893127441406 + ], + [ + "▁Lancaster", + -13.138960838317871 + ], + [ + "▁revenge", + -13.138972282409668 + ], + [ + "▁melody", + -13.1389741897583 + ], + [ + "Suitable", + -13.138991355895996 + ], + [ + "▁beacon", + -13.139082908630371 + ], + [ + "▁MAY", + -13.139205932617188 + ], + [ + "livré", + -13.139216423034668 + ], + [ + "Virus", + -13.139391899108887 + ], + [ + "▁collaborator", + -13.139413833618164 + ], + [ + "produktion", + -13.139480590820312 + ], + [ + "▁iluminat", + -13.139593124389648 + ], + [ + "facets", + -13.13975715637207 + ], + [ + "▁expus", + -13.139784812927246 + ], + [ + "▁baptism", + -13.13999080657959 + ], + [ + "▁urgency", + -13.140016555786133 + ], + [ + "artery", + -13.14030647277832 + ], + [ + "▁eingeladen", + -13.14043140411377 + ], + [ + "▁entfernen", + -13.14051342010498 + ], + [ + "soaking", + -13.140555381774902 + ], + [ + "▁irré", + -13.140557289123535 + ], + [ + "▁purity", + -13.140700340270996 + ], + [ + "▁adăug", + -13.140731811523438 + ], + [ + "historischen", + -13.140777587890625 + ], + [ + "crezi", + -13.140793800354004 + ], + [ + "▁tarziu", + -13.141035079956055 + ], + [ + "▁Mozart", + -13.141040802001953 + ], + [ + "▁trimming", + -13.141056060791016 + ], + [ + "▁violat", + -13.141056060791016 + ], + [ + "▁Vermögen", + -13.14108943939209 + ], + [ + "▁Theorie", + -13.141114234924316 + ], + [ + "scheibe", + -13.14114761352539 + ], + [ + "Partidul", + -13.141324996948242 + ], + [ + "▁childcare", + -13.14133071899414 + ], + [ + "ajele", + -13.141345977783203 + ], + [ + "▁Punjab", + -13.141390800476074 + ], + [ + "6.3", + -13.14156436920166 + ], + [ + "▁recount", + -13.141571044921875 + ], + [ + "▁repel", + -13.141799926757812 + ], + [ + "vantage", + -13.1419095993042 + ], + [ + "6.4", + -13.141953468322754 + ], + [ + "▁comedian", + -13.142087936401367 + ], + [ + "▁snappe", + -13.142256736755371 + ], + [ + "PLE", + -13.142271041870117 + ], + [ + "▁rapper", + -13.142439842224121 + ], + [ + "▁Belfast", + -13.142657279968262 + ], + [ + "▁predictive", + -13.14271068572998 + ], + [ + "dépôt", + -13.1427583694458 + ], + [ + "flavored", + -13.142769813537598 + ], + [ + "chließlich", + -13.14293098449707 + ], + [ + "▁stump", + -13.142955780029297 + ], + [ + "▁lakh", + -13.142963409423828 + ], + [ + "3:30", + -13.143021583557129 + ], + [ + "▁cetățeni", + -13.1431245803833 + ], + [ + "▁Milliarden", + -13.143125534057617 + ], + [ + "Assurance", + -13.143128395080566 + ], + [ + "▁Marketplace", + -13.143329620361328 + ], + [ + "equipped", + -13.143423080444336 + ], + [ + "▁russe", + -13.143462181091309 + ], + [ + "Exactly", + -13.143651008605957 + ], + [ + "▁Venez", + -13.144125938415527 + ], + [ + "▁Pavilion", + -13.144171714782715 + ], + [ + "▁incontournable", + -13.144171714782715 + ], + [ + "▁slaughter", + -13.14417839050293 + ], + [ + "asteptam", + -13.144190788269043 + ], + [ + "▁Fighter", + -13.144196510314941 + ], + [ + "▁Landkreis", + -13.144278526306152 + ], + [ + "▁lumini", + -13.144312858581543 + ], + [ + "▁connaît", + -13.144615173339844 + ], + [ + "▁Breite", + -13.144674301147461 + ], + [ + "▁Disability", + -13.144774436950684 + ], + [ + "▁Alfa", + -13.144786834716797 + ], + [ + "▁poise", + -13.144895553588867 + ], + [ + "▁Alpen", + -13.144898414611816 + ], + [ + "betont", + -13.145031929016113 + ], + [ + "159", + -13.145161628723145 + ], + [ + "▁geprägt", + -13.145219802856445 + ], + [ + "▁intrigued", + -13.145219802856445 + ], + [ + "▁sympathy", + -13.145220756530762 + ], + [ + "societal", + -13.145225524902344 + ], + [ + "▁sédui", + -13.145243644714355 + ], + [ + "▁differentiation", + -13.145384788513184 + ], + [ + "▁aprobare", + -13.145744323730469 + ], + [ + "schirm", + -13.14585018157959 + ], + [ + "sagt", + -13.145956039428711 + ], + [ + "7.3", + -13.146101951599121 + ], + [ + "Bib", + -13.146263122558594 + ], + [ + "europäischen", + -13.146268844604492 + ], + [ + "▁Innovative", + -13.146268844604492 + ], + [ + "▁autonome", + -13.146330833435059 + ], + [ + "▁Objective", + -13.146400451660156 + ], + [ + "▁refusal", + -13.146551132202148 + ], + [ + "▁exposé", + -13.146719932556152 + ], + [ + "▁cetăţeni", + -13.146793365478516 + ], + [ + "▁stimmt", + -13.146798133850098 + ], + [ + "acordul", + -13.147162437438965 + ], + [ + "▁hormonal", + -13.147254943847656 + ], + [ + "intermédiaire", + -13.147319793701172 + ], + [ + "▁doubl", + -13.147374153137207 + ], + [ + "▁flute", + -13.147509574890137 + ], + [ + "▁Balkon", + -13.147523880004883 + ], + [ + "▁Florian", + -13.147607803344727 + ], + [ + "737", + -13.147614479064941 + ], + [ + "▁dritte", + -13.147639274597168 + ], + [ + "spitze", + -13.147685050964355 + ], + [ + "donnent", + -13.14778995513916 + ], + [ + "▁Zuhause", + -13.147850036621094 + ], + [ + "▁VIII", + -13.147852897644043 + ], + [ + "familien", + -13.148151397705078 + ], + [ + "▁sécurisé", + -13.148313522338867 + ], + [ + "▁glamour", + -13.148370742797852 + ], + [ + "▁societati", + -13.148370742797852 + ], + [ + "typique", + -13.1483793258667 + ], + [ + "▁addicted", + -13.148421287536621 + ], + [ + "▁Providence", + -13.148500442504883 + ], + [ + "▁Extended", + -13.148506164550781 + ], + [ + "▁Barbie", + -13.148513793945312 + ], + [ + "zustand", + -13.148516654968262 + ], + [ + "▁Sauna", + -13.148638725280762 + ], + [ + "▁propane", + -13.148663520812988 + ], + [ + "europa", + -13.148894309997559 + ], + [ + "glued", + -13.148940086364746 + ], + [ + "▁Mystery", + -13.148941993713379 + ], + [ + "▁travaillé", + -13.149106979370117 + ], + [ + "riol", + -13.149251937866211 + ], + [ + "fleisch", + -13.149288177490234 + ], + [ + "▁Eintritt", + -13.149327278137207 + ], + [ + "▁Syndrome", + -13.149422645568848 + ], + [ + "▁petroleum", + -13.149426460266113 + ], + [ + "▁genial", + -13.149433135986328 + ], + [ + "sponsored", + -13.149436950683594 + ], + [ + "▁Cindy", + -13.149436950683594 + ], + [ + "▁courier", + -13.149600982666016 + ], + [ + "▁Scrap", + -13.149640083312988 + ], + [ + "▁conţin", + -13.149724006652832 + ], + [ + "(2007)", + -13.149764060974121 + ], + [ + "▁gewährleisten", + -13.149949073791504 + ], + [ + "▁proprietor", + -13.15011215209961 + ], + [ + "▁cheque", + -13.15046215057373 + ], + [ + "maternity", + -13.150477409362793 + ], + [ + "▁Gustav", + -13.15048599243164 + ], + [ + "▁arterial", + -13.150497436523438 + ], + [ + "▁whiskey", + -13.150510787963867 + ], + [ + "▁concealed", + -13.150525093078613 + ], + [ + "thèque", + -13.150553703308105 + ], + [ + "felony", + -13.150579452514648 + ], + [ + "▁tweeted", + -13.150613784790039 + ], + [ + "OTA", + -13.150619506835938 + ], + [ + "nsel", + -13.150664329528809 + ], + [ + "▁coarse", + -13.150664329528809 + ], + [ + "▁identificat", + -13.150707244873047 + ], + [ + "▁variability", + -13.150716781616211 + ], + [ + "civ", + -13.150843620300293 + ], + [ + "▁drastic", + -13.150956153869629 + ], + [ + "▁hatred", + -13.151090621948242 + ], + [ + "▁Bürgermeister", + -13.151237487792969 + ], + [ + "▁utilizatorilor", + -13.15124225616455 + ], + [ + "OULD", + -13.15137004852295 + ], + [ + "rmaßen", + -13.151383399963379 + ], + [ + "▁windshield", + -13.151530265808105 + ], + [ + "▁Particular", + -13.151531219482422 + ], + [ + "▁Tunnel", + -13.151638984680176 + ], + [ + "▁litri", + -13.15164852142334 + ], + [ + "extrême", + -13.15180492401123 + ], + [ + "▁Schalt", + -13.151944160461426 + ], + [ + "paket", + -13.152159690856934 + ], + [ + "berlin", + -13.152169227600098 + ], + [ + "▁slujb", + -13.152193069458008 + ], + [ + "facilitated", + -13.152206420898438 + ], + [ + "Congressional", + -13.152510643005371 + ], + [ + "▁honeymoon", + -13.152585983276367 + ], + [ + "▁Provision", + -13.152697563171387 + ], + [ + "▁Outfit", + -13.152779579162598 + ], + [ + "udder", + -13.152814865112305 + ], + [ + "▁chandelier", + -13.153002738952637 + ], + [ + "donating", + -13.153132438659668 + ], + [ + "historic", + -13.15333080291748 + ], + [ + "organized", + -13.153508186340332 + ], + [ + "(8)", + -13.15356731414795 + ], + [ + "▁touristique", + -13.153610229492188 + ], + [ + "▁Roosevelt", + -13.153643608093262 + ], + [ + "▁Verständnis", + -13.153643608093262 + ], + [ + "▁prilej", + -13.153655052185059 + ], + [ + "Vanity", + -13.153806686401367 + ], + [ + "chilly", + -13.153964042663574 + ], + [ + "loyer", + -13.154031753540039 + ], + [ + "▁Zhang", + -13.154053688049316 + ], + [ + "▁Nouveau", + -13.154193878173828 + ], + [ + "Soft", + -13.154326438903809 + ], + [ + "▁motherboard", + -13.15441608428955 + ], + [ + "▁Erklärung", + -13.154701232910156 + ], + [ + "▁Tasmania", + -13.154702186584473 + ], + [ + "▁verändern", + -13.154703140258789 + ], + [ + "▁seldom", + -13.154711723327637 + ], + [ + "▁Karriere", + -13.154714584350586 + ], + [ + "▁Mixed", + -13.154902458190918 + ], + [ + "umfang", + -13.154970169067383 + ], + [ + "▁Strategies", + -13.155035972595215 + ], + [ + "CHAR", + -13.155051231384277 + ], + [ + "olitary", + -13.155075073242188 + ], + [ + "▁Persoan", + -13.1550874710083 + ], + [ + "bewegung", + -13.155242919921875 + ], + [ + "▁Ernest", + -13.155367851257324 + ], + [ + "withdrawn", + -13.155855178833008 + ], + [ + "▁stationary", + -13.155881881713867 + ], + [ + "▁bland", + -13.155939102172852 + ], + [ + "▁Replace", + -13.156059265136719 + ], + [ + "▁Londres", + -13.156290054321289 + ], + [ + "▁plural", + -13.156290054321289 + ], + [ + "▁concentrat", + -13.156515121459961 + ], + [ + "Maschine", + -13.156675338745117 + ], + [ + "▁Advocate", + -13.156820297241211 + ], + [ + "▁vermitteln", + -13.156824111938477 + ], + [ + "▁dispenser", + -13.156827926635742 + ], + [ + "▁tedious", + -13.15695858001709 + ], + [ + "▁Straight", + -13.15705394744873 + ], + [ + "▁Corona", + -13.157061576843262 + ], + [ + "▁monumental", + -13.157073020935059 + ], + [ + "▁migrate", + -13.15720272064209 + ], + [ + "▁verlieren", + -13.157366752624512 + ], + [ + "▁Lub", + -13.157482147216797 + ], + [ + "▁reinforcement", + -13.157827377319336 + ], + [ + "▁cherish", + -13.157843589782715 + ], + [ + "Veterinary", + -13.157881736755371 + ], + [ + "geschwindigkeit", + -13.157881736755371 + ], + [ + "▁féminin", + -13.157881736755371 + ], + [ + "▁Facilities", + -13.157964706420898 + ], + [ + "▁urmari", + -13.158050537109375 + ], + [ + "▁Vertical", + -13.158098220825195 + ], + [ + "echoe", + -13.158188819885254 + ], + [ + "toured", + -13.158548355102539 + ], + [ + "Served", + -13.158772468566895 + ], + [ + "más", + -13.158853530883789 + ], + [ + "license", + -13.158893585205078 + ], + [ + "misunderstanding", + -13.158944129943848 + ], + [ + "▁glamorous", + -13.158944129943848 + ], + [ + "BJP", + -13.158973693847656 + ], + [ + "▁découvert", + -13.159173965454102 + ], + [ + "schönsten", + -13.159517288208008 + ], + [ + "▁(2018)", + -13.159577369689941 + ], + [ + "▁orasului", + -13.159581184387207 + ], + [ + "328", + -13.159674644470215 + ], + [ + "thighs", + -13.159801483154297 + ], + [ + "éclairage", + -13.160008430480957 + ], + [ + "Oamenii", + -13.160009384155273 + ], + [ + "▁Transmission", + -13.16014575958252 + ], + [ + "▁transpir", + -13.16015911102295 + ], + [ + "▁președinte", + -13.160321235656738 + ], + [ + "finalists", + -13.160327911376953 + ], + [ + "genügend", + -13.160524368286133 + ], + [ + "▁Aufmerksamkeit", + -13.160539627075195 + ], + [ + "▁unglaublich", + -13.160539627075195 + ], + [ + "▁descarc", + -13.160604476928711 + ], + [ + "▁Couch", + -13.160683631896973 + ], + [ + "eaucoup", + -13.160788536071777 + ], + [ + "▁adidas", + -13.161075592041016 + ], + [ + "▁1-800-", + -13.161077499389648 + ], + [ + "▁Communities", + -13.161102294921875 + ], + [ + "▁Einkommen", + -13.161102294921875 + ], + [ + "▁Reagan", + -13.16114330291748 + ], + [ + "▁Stoke", + -13.161260604858398 + ], + [ + "▁Snapchat", + -13.161269187927246 + ], + [ + "éclat", + -13.161272048950195 + ], + [ + "▁auseinander", + -13.161367416381836 + ], + [ + "▁richesse", + -13.16137409210205 + ], + [ + "▁toggle", + -13.161396026611328 + ], + [ + "▁Zutaten", + -13.161606788635254 + ], + [ + "▁député", + -13.16161060333252 + ], + [ + "▁battlefield", + -13.161611557006836 + ], + [ + "▁spirituel", + -13.161611557006836 + ], + [ + "▁Shuttle", + -13.161632537841797 + ], + [ + "▁Aktien", + -13.161665916442871 + ], + [ + "hormon", + -13.161819458007812 + ], + [ + "connection", + -13.16187858581543 + ], + [ + "▁vizitatori", + -13.16191577911377 + ], + [ + "érité", + -13.161971092224121 + ], + [ + "truck", + -13.1619873046875 + ], + [ + "▁yourselves", + -13.162139892578125 + ], + [ + "▁Logistics", + -13.162140846252441 + ], + [ + "coveted", + -13.16215705871582 + ], + [ + "▁şedinţ", + -13.162671089172363 + ], + [ + "▁messenger", + -13.162703514099121 + ], + [ + "▁țar", + -13.162918090820312 + ], + [ + "▁Grau", + -13.163025856018066 + ], + [ + "chirurgie", + -13.163138389587402 + ], + [ + "▁Ressourcen", + -13.16320514678955 + ], + [ + "▁Jésus", + -13.163207054138184 + ], + [ + "▁acțiune", + -13.163208961486816 + ], + [ + "▁Bundesliga", + -13.163249015808105 + ], + [ + "Lizenz", + -13.163379669189453 + ], + [ + "ELLE", + -13.163908958435059 + ], + [ + "vraie", + -13.1639986038208 + ], + [ + "ruined", + -13.164018630981445 + ], + [ + "▁Marble", + -13.164109230041504 + ], + [ + "▁Zambia", + -13.164308547973633 + ], + [ + "▁Finnish", + -13.164366722106934 + ], + [ + "▁trackback", + -13.164488792419434 + ], + [ + "héros", + -13.16451644897461 + ], + [ + "▁réclam", + -13.164534568786621 + ], + [ + "locurile", + -13.164706230163574 + ], + [ + "tägliche", + -13.164753913879395 + ], + [ + "IFF", + -13.164824485778809 + ], + [ + "▁contextual", + -13.164938926696777 + ], + [ + "▁Elvis", + -13.165084838867188 + ], + [ + "▁Batch", + -13.165183067321777 + ], + [ + "▁appris", + -13.16519546508789 + ], + [ + "intensive", + -13.165404319763184 + ], + [ + "▁întâmplat", + -13.16565990447998 + ], + [ + "▁prelucr", + -13.16576099395752 + ], + [ + "flore", + -13.165873527526855 + ], + [ + "▁Alkohol", + -13.165877342224121 + ], + [ + "Konzern", + -13.165895462036133 + ], + [ + "Delete", + -13.166082382202148 + ], + [ + "öck", + -13.16612720489502 + ], + [ + "▁clientii", + -13.16614818572998 + ], + [ + "▁innovate", + -13.166224479675293 + ], + [ + "▁ASAP", + -13.166345596313477 + ], + [ + "crumbs", + -13.166425704956055 + ], + [ + "reusable", + -13.166489601135254 + ], + [ + "▁Beaver", + -13.166507720947266 + ], + [ + "▁rosii", + -13.166643142700195 + ], + [ + "Arr", + -13.166704177856445 + ], + [ + "▁Zubehör", + -13.166948318481445 + ], + [ + "▁stolz", + -13.166952133178711 + ], + [ + "▁$75", + -13.16695499420166 + ], + [ + "▁Frühling", + -13.166967391967773 + ], + [ + "▁disagreement", + -13.166988372802734 + ], + [ + "▁formulate", + -13.167381286621094 + ], + [ + "braking", + -13.167522430419922 + ], + [ + "▁submarine", + -13.167535781860352 + ], + [ + "▁identificare", + -13.167652130126953 + ], + [ + "lansarea", + -13.167659759521484 + ], + [ + "covered", + -13.167753219604492 + ], + [ + "benso", + -13.167859077453613 + ], + [ + "▁situatie", + -13.167989730834961 + ], + [ + "hilf", + -13.1681547164917 + ], + [ + "▁Southampton", + -13.168557167053223 + ], + [ + "▁intéressé", + -13.168557167053223 + ], + [ + "▁congressional", + -13.168572425842285 + ], + [ + "65%", + -13.168595314025879 + ], + [ + "▁Allison", + -13.168627738952637 + ], + [ + "Mainland", + -13.168726921081543 + ], + [ + "▁touchscreen", + -13.16882038116455 + ], + [ + "leitet", + -13.168922424316406 + ], + [ + "mnului", + -13.16958999633789 + ], + [ + "▁engagiert", + -13.169631004333496 + ], + [ + "joacă", + -13.16964340209961 + ], + [ + "▁$5,000", + -13.169652938842773 + ], + [ + "upscale", + -13.1697359085083 + ], + [ + "▁vérité", + -13.16983413696289 + ], + [ + "flüssig", + -13.170167922973633 + ], + [ + "Richtlinie", + -13.170169830322266 + ], + [ + "▁positif", + -13.170169830322266 + ], + [ + "▁diferenta", + -13.170175552368164 + ], + [ + "▁întâi", + -13.170707702636719 + ], + [ + "ethylene", + -13.170791625976562 + ], + [ + "kreuz", + -13.170913696289062 + ], + [ + "Surely", + -13.170990943908691 + ], + [ + "puneti", + -13.171002388000488 + ], + [ + "europe", + -13.171142578125 + ], + [ + "▁comunist", + -13.171271324157715 + ], + [ + "unterricht", + -13.171302795410156 + ], + [ + "▁Füll", + -13.171304702758789 + ], + [ + "▁Aberdeen", + -13.171792030334473 + ], + [ + "▁DSLR", + -13.171792030334473 + ], + [ + "▁functioneaza", + -13.171799659729004 + ], + [ + "▁benches", + -13.171807289123535 + ], + [ + "▁Alpine", + -13.171866416931152 + ], + [ + "phthal", + -13.172003746032715 + ], + [ + "▁counselling", + -13.17219066619873 + ], + [ + "▁erzielen", + -13.172323226928711 + ], + [ + "▁părinţi", + -13.172329902648926 + ], + [ + "▁besitzen", + -13.17236614227295 + ], + [ + "heavenly", + -13.172389030456543 + ], + [ + "▁masque", + -13.17281723022461 + ], + [ + "▁Legislature", + -13.172859191894531 + ], + [ + "▁Recycling", + -13.172861099243164 + ], + [ + "▁Derma", + -13.172883987426758 + ], + [ + "reunite", + -13.172926902770996 + ], + [ + "recettes", + -13.17310619354248 + ], + [ + "converge", + -13.173262596130371 + ], + [ + "▁compoziti", + -13.17327880859375 + ], + [ + "▁Nürnberg", + -13.173398971557617 + ], + [ + "760", + -13.173545837402344 + ], + [ + "▁entière", + -13.173674583435059 + ], + [ + "▁parchment", + -13.173944473266602 + ], + [ + "▁Aufwand", + -13.173945426940918 + ], + [ + "▁antivirus", + -13.174087524414062 + ], + [ + "▁remettr", + -13.17409610748291 + ], + [ + "▁NEVER", + -13.174243927001953 + ], + [ + "▁restrictive", + -13.174266815185547 + ], + [ + "▁beurre", + -13.174283027648926 + ], + [ + "▁frigider", + -13.174478530883789 + ], + [ + "acquisition", + -13.174642562866211 + ], + [ + "▁Correct", + -13.174866676330566 + ], + [ + "▁immortal", + -13.175017356872559 + ], + [ + "▁occupancy", + -13.175017356872559 + ], + [ + "▁Tucson", + -13.175019264221191 + ], + [ + "▁Dhabi", + -13.175025939941406 + ], + [ + "obligation", + -13.175033569335938 + ], + [ + "▁warfare", + -13.175037384033203 + ], + [ + "▁syntax", + -13.175045013427734 + ], + [ + "APS", + -13.175106048583984 + ], + [ + "мен", + -13.175209999084473 + ], + [ + "▁diferenț", + -13.175251960754395 + ], + [ + "wordpress", + -13.17549991607666 + ], + [ + "▁Wohnzimmer", + -13.175593376159668 + ], + [ + "oppo", + -13.175736427307129 + ], + [ + "▁miscare", + -13.175762176513672 + ], + [ + "companiilor", + -13.17581558227539 + ], + [ + "▁bezahlt", + -13.17584228515625 + ], + [ + "Sterne", + -13.175864219665527 + ], + [ + "inability", + -13.175898551940918 + ], + [ + "▁Hoffnung", + -13.176156044006348 + ], + [ + "▁românească", + -13.176176071166992 + ], + [ + "document", + -13.176177024841309 + ], + [ + "borrowers", + -13.17625904083252 + ], + [ + "▁rasa", + -13.176301956176758 + ], + [ + "▁bénéfice", + -13.176445960998535 + ], + [ + "▁Panda", + -13.17645263671875 + ], + [ + "▁cărţi", + -13.176730155944824 + ], + [ + "▁Vorgehen", + -13.17690658569336 + ], + [ + "▁afecteaz", + -13.176956176757812 + ], + [ + "▁diagnos", + -13.177050590515137 + ], + [ + "▁Dentistry", + -13.177180290222168 + ], + [ + "▁staggering", + -13.177180290222168 + ], + [ + "präsident", + -13.177181243896484 + ], + [ + "▁vocational", + -13.177239418029785 + ], + [ + "Combined", + -13.177287101745605 + ], + [ + "stère", + -13.177306175231934 + ], + [ + "▁frunze", + -13.177478790283203 + ], + [ + "OLI", + -13.177525520324707 + ], + [ + "▁răc", + -13.177752494812012 + ], + [ + "▁changé", + -13.177754402160645 + ], + [ + "▁reprezentanți", + -13.177757263183594 + ], + [ + "▁ausgeschlossen", + -13.177777290344238 + ], + [ + "Windows", + -13.177891731262207 + ], + [ + "sometimes", + -13.177898406982422 + ], + [ + "▁dargestellt", + -13.178120613098145 + ], + [ + "provoking", + -13.178263664245605 + ], + [ + "terribly", + -13.178264617919922 + ], + [ + "▁speculate", + -13.178274154663086 + ], + [ + "▁complément", + -13.178305625915527 + ], + [ + "▁(2006)", + -13.178306579589844 + ], + [ + "zulegen", + -13.178668022155762 + ], + [ + "▁définitive", + -13.178876876831055 + ], + [ + "considerare", + -13.17911148071289 + ], + [ + "▁Subaru", + -13.179354667663574 + ], + [ + "WAN", + -13.179390907287598 + ], + [ + "guessed", + -13.179417610168457 + ], + [ + "spannung", + -13.179479598999023 + ], + [ + "▁supernatural", + -13.179515838623047 + ], + [ + "▁Interstate", + -13.17957878112793 + ], + [ + "▁redundant", + -13.179891586303711 + ], + [ + "▁HUG", + -13.179893493652344 + ], + [ + "▁restauration", + -13.180006980895996 + ], + [ + "repute", + -13.180011749267578 + ], + [ + "coagul", + -13.180028915405273 + ], + [ + "tehnologia", + -13.18043327331543 + ], + [ + "warded", + -13.180444717407227 + ], + [ + "▁lobster", + -13.180469512939453 + ], + [ + "▁Hafen", + -13.180542945861816 + ], + [ + "▁Guess", + -13.18056583404541 + ], + [ + "seraient", + -13.181038856506348 + ], + [ + "▁trench", + -13.181156158447266 + ], + [ + "▁piept", + -13.181283950805664 + ], + [ + "categorized", + -13.181396484375 + ], + [ + "softer", + -13.1815185546875 + ], + [ + "▁feasibility", + -13.181519508361816 + ], + [ + "▁restructuring", + -13.181519508361816 + ], + [ + "▁GOOD", + -13.181537628173828 + ], + [ + "▁inspiré", + -13.181610107421875 + ], + [ + "▁spéci", + -13.18163013458252 + ], + [ + "▁Mattress", + -13.181686401367188 + ], + [ + "▁biologique", + -13.181702613830566 + ], + [ + "▁Crema", + -13.182043075561523 + ], + [ + "▁korrekt", + -13.182063102722168 + ], + [ + "▁imperfect", + -13.182205200195312 + ], + [ + "▁advantageous", + -13.182329177856445 + ], + [ + "9.00", + -13.182390213012695 + ], + [ + "PAL", + -13.182557106018066 + ], + [ + "▁Illustration", + -13.182607650756836 + ], + [ + "▁Katherine", + -13.182607650756836 + ], + [ + "▁cervical", + -13.182607650756836 + ], + [ + "▁hectic", + -13.182611465454102 + ], + [ + "▁Belastung", + -13.182615280151367 + ], + [ + "▁Laguna", + -13.182628631591797 + ], + [ + "▁Burton", + -13.182761192321777 + ], + [ + "nettoyage", + -13.182875633239746 + ], + [ + "Toward", + -13.183072090148926 + ], + [ + "continuare", + -13.183072090148926 + ], + [ + "▁acumulat", + -13.183106422424316 + ], + [ + "▁déposé", + -13.183216094970703 + ], + [ + "▁prestige", + -13.183269500732422 + ], + [ + "▁LNG", + -13.183525085449219 + ], + [ + "▁Dacia", + -13.183662414550781 + ], + [ + "▁concede", + -13.183691024780273 + ], + [ + "▁reconciliation", + -13.183822631835938 + ], + [ + "Sistemul", + -13.183877944946289 + ], + [ + "Speed", + -13.183937072753906 + ], + [ + "▁Implant", + -13.183977127075195 + ], + [ + "▁möchtest", + -13.184020042419434 + ], + [ + "▁Norton", + -13.184064865112305 + ], + [ + "▁cosmic", + -13.184181213378906 + ], + [ + "enregistrement", + -13.184247016906738 + ], + [ + "țării", + -13.18433952331543 + ], + [ + "Veröffentlichung", + -13.184786796569824 + ], + [ + "erlebnis", + -13.184786796569824 + ], + [ + "▁Carpenter", + -13.184786796569824 + ], + [ + "▁INFORMATION", + -13.184786796569824 + ], + [ + "invites", + -13.18481731414795 + ], + [ + "▁gewan", + -13.1849365234375 + ], + [ + "▁réservé", + -13.184986114501953 + ], + [ + "▁aquatic", + -13.184988021850586 + ], + [ + "▁Seoul", + -13.18507194519043 + ], + [ + "▁älter", + -13.185185432434082 + ], + [ + "▁classmates", + -13.185223579406738 + ], + [ + "gelangen", + -13.185253143310547 + ], + [ + "▁Camill", + -13.185285568237305 + ], + [ + "simo", + -13.185291290283203 + ], + [ + "▁dormitor", + -13.185333251953125 + ], + [ + "wahren", + -13.185354232788086 + ], + [ + "▁incremental", + -13.185357093811035 + ], + [ + "▁caci", + -13.185494422912598 + ], + [ + "mittlere", + -13.185752868652344 + ], + [ + "▁condominium", + -13.185877799987793 + ], + [ + "▁rainforest", + -13.185877799987793 + ], + [ + "▁championnat", + -13.185891151428223 + ], + [ + "▁interrupted", + -13.185921669006348 + ], + [ + "▁tactile", + -13.185930252075195 + ], + [ + "▁unconditional", + -13.185945510864258 + ], + [ + "▁reactive", + -13.186041831970215 + ], + [ + "▁Stretch", + -13.1861572265625 + ], + [ + "▁serene", + -13.18624210357666 + ], + [ + "570", + -13.186318397521973 + ], + [ + "igte", + -13.186376571655273 + ], + [ + "Louis", + -13.186410903930664 + ], + [ + "▁Mittelpunkt", + -13.186493873596191 + ], + [ + "EEP", + -13.18651294708252 + ], + [ + "▁vault", + -13.186552047729492 + ], + [ + "absolu", + -13.186893463134766 + ], + [ + "▁solidarity", + -13.186971664428711 + ], + [ + "CLICK", + -13.18708324432373 + ], + [ + "▁hustle", + -13.187090873718262 + ], + [ + "▁microscope", + -13.187105178833008 + ], + [ + "▁Recommended", + -13.187111854553223 + ], + [ + "âche", + -13.18716812133789 + ], + [ + "▁flashlight", + -13.187286376953125 + ], + [ + "modificarea", + -13.18754768371582 + ], + [ + "izaţi", + -13.18773078918457 + ], + [ + "planned", + -13.187899589538574 + ], + [ + "Download", + -13.187906265258789 + ], + [ + "▁gourmand", + -13.188064575195312 + ], + [ + "▁subsidiaries", + -13.188064575195312 + ], + [ + "orthodox", + -13.188135147094727 + ], + [ + "▁Auburn", + -13.188323020935059 + ], + [ + "▁exprimat", + -13.188336372375488 + ], + [ + "procédé", + -13.18861198425293 + ], + [ + "▁ressenti", + -13.188648223876953 + ], + [ + "▁stint", + -13.188678741455078 + ], + [ + "Essentially", + -13.189072608947754 + ], + [ + "▁Savior", + -13.189164161682129 + ], + [ + "▁Flood", + -13.189168930053711 + ], + [ + "▁neurological", + -13.189249038696289 + ], + [ + "▁strig", + -13.189340591430664 + ], + [ + "scended", + -13.189421653747559 + ], + [ + "▁Shiva", + -13.189483642578125 + ], + [ + "▁Sketch", + -13.189544677734375 + ], + [ + "▁monarch", + -13.18956184387207 + ], + [ + "▁Preview", + -13.189632415771484 + ], + [ + "▁bewegt", + -13.189811706542969 + ], + [ + "mapped", + -13.189818382263184 + ], + [ + "énorme", + -13.189962387084961 + ], + [ + "▁définition", + -13.189963340759277 + ], + [ + "▁nécessité", + -13.189984321594238 + ], + [ + "▁antren", + -13.190027236938477 + ], + [ + "▁Infant", + -13.190072059631348 + ], + [ + "▁incumbent", + -13.190255165100098 + ], + [ + "▁pavilion", + -13.190255165100098 + ], + [ + "▁Taliban", + -13.19025707244873 + ], + [ + "Easily", + -13.19025993347168 + ], + [ + "▁verteilt", + -13.19030475616455 + ], + [ + "▁Biblical", + -13.190320014953613 + ], + [ + "Christian", + -13.190333366394043 + ], + [ + "județul", + -13.190436363220215 + ], + [ + "Learning", + -13.19046688079834 + ], + [ + "▁Expand", + -13.19054126739502 + ], + [ + "▁Attach", + -13.19056224822998 + ], + [ + "consideră", + -13.190573692321777 + ], + [ + "einsatz", + -13.190574645996094 + ], + [ + "Numai", + -13.190585136413574 + ], + [ + "▁Eintrag", + -13.190597534179688 + ], + [ + "▁üblich", + -13.190607070922852 + ], + [ + "▁cumpără", + -13.19062614440918 + ], + [ + "escaped", + -13.190693855285645 + ], + [ + "▁Ortodox", + -13.190804481506348 + ], + [ + "▁obţinut", + -13.190805435180664 + ], + [ + "ecluded", + -13.191036224365234 + ], + [ + "▁brownie", + -13.191089630126953 + ], + [ + "▁regulament", + -13.191253662109375 + ], + [ + "▁Chaos", + -13.191302299499512 + ], + [ + "▁masiv", + -13.19132137298584 + ], + [ + "▁Gerald", + -13.191376686096191 + ], + [ + "▁Sigur", + -13.191380500793457 + ], + [ + "▁wavelength", + -13.191380500793457 + ], + [ + "▁retiring", + -13.191396713256836 + ], + [ + "▁exactement", + -13.191819190979004 + ], + [ + "ntino", + -13.191823959350586 + ], + [ + "▁Krebs", + -13.19194221496582 + ], + [ + "▁monatlich", + -13.191956520080566 + ], + [ + "▁aranj", + -13.192011833190918 + ], + [ + "▁priveşt", + -13.192099571228027 + ], + [ + "▁mecanic", + -13.192109107971191 + ], + [ + "money", + -13.192233085632324 + ], + [ + "parliamentary", + -13.1922607421875 + ], + [ + "▁probation", + -13.192427635192871 + ], + [ + "embroidered", + -13.192451477050781 + ], + [ + "▁amenajat", + -13.192451477050781 + ], + [ + "▁remnant", + -13.192451477050781 + ], + [ + "▁senzati", + -13.192472457885742 + ], + [ + "▁Declaration", + -13.192483901977539 + ], + [ + "farbe", + -13.192506790161133 + ], + [ + "▁skinny", + -13.19260311126709 + ], + [ + "Energi", + -13.192648887634277 + ], + [ + "verhältnisse", + -13.19288158416748 + ], + [ + "Recruit", + -13.192972183227539 + ], + [ + "frying", + -13.193161010742188 + ], + [ + "925", + -13.193294525146484 + ], + [ + "nstruire", + -13.193302154541016 + ], + [ + "toasted", + -13.193424224853516 + ], + [ + "▁nicotine", + -13.193551063537598 + ], + [ + "recessed", + -13.193570137023926 + ], + [ + "▁dialect", + -13.193572044372559 + ], + [ + "▁confisc", + -13.193575859069824 + ], + [ + "▁bubbl", + -13.193643569946289 + ], + [ + "▁Precision", + -13.193682670593262 + ], + [ + "▁sollicit", + -13.193842887878418 + ], + [ + "▁Moral", + -13.193977355957031 + ], + [ + "▁renseignements", + -13.194112777709961 + ], + [ + "UMP", + -13.194116592407227 + ], + [ + "ijn", + -13.194183349609375 + ], + [ + "▁fermeture", + -13.194320678710938 + ], + [ + "▁blueprint", + -13.19462776184082 + ], + [ + "▁groceries", + -13.194652557373047 + ], + [ + "möbel", + -13.194655418395996 + ], + [ + "▁Plenty", + -13.194657325744629 + ], + [ + "▁forfeit", + -13.194719314575195 + ], + [ + "méthodes", + -13.194915771484375 + ], + [ + "paving", + -13.19493293762207 + ], + [ + "outheastern", + -13.194979667663574 + ], + [ + "▁Overview", + -13.19503116607666 + ], + [ + "▁observers", + -13.195171356201172 + ], + [ + "▁Timișoara", + -13.19520378112793 + ], + [ + "noticing", + -13.195332527160645 + ], + [ + "▁Owl", + -13.195381164550781 + ], + [ + "▁1925", + -13.195517539978027 + ], + [ + "▁prüfen", + -13.195755004882812 + ], + [ + "▁Bewohner", + -13.195756912231445 + ], + [ + "▁Latvia", + -13.195770263671875 + ], + [ + "▁Tuscan", + -13.19577407836914 + ], + [ + "▁apprenticeship", + -13.195789337158203 + ], + [ + "▁courteous", + -13.1958646774292 + ], + [ + "adult", + -13.196023941040039 + ], + [ + "Licensed", + -13.196029663085938 + ], + [ + "abused", + -13.196762084960938 + ], + [ + "confidence", + -13.19678020477295 + ], + [ + "▁revolt", + -13.196782112121582 + ], + [ + "conference", + -13.196861267089844 + ], + [ + "genoss", + -13.196914672851562 + ], + [ + "▁răni", + -13.196944236755371 + ], + [ + "▁Intervention", + -13.196949005126953 + ], + [ + "▁primesc", + -13.196969985961914 + ], + [ + "trays", + -13.197041511535645 + ], + [ + "nozzle", + -13.197216033935547 + ], + [ + "▁splitting", + -13.197443962097168 + ], + [ + "▁könne", + -13.197507858276367 + ], + [ + "▁peisaj", + -13.197943687438965 + ], + [ + "▁academia", + -13.197962760925293 + ], + [ + "▁chakra", + -13.197979927062988 + ], + [ + "▁Abdul", + -13.1981201171875 + ], + [ + "▁Beschreibung", + -13.198225021362305 + ], + [ + "Regeln", + -13.19831371307373 + ], + [ + "eezy", + -13.198314666748047 + ], + [ + "▁problématique", + -13.198515892028809 + ], + [ + "▁Ausführung", + -13.198524475097656 + ], + [ + "▁reconnect", + -13.19868278503418 + ], + [ + "▁telefonic", + -13.198966026306152 + ], + [ + "▁Ethereum", + -13.199069023132324 + ], + [ + "▁Winnipeg", + -13.199069023132324 + ], + [ + "▁misconception", + -13.199069023132324 + ], + [ + "▁Verpackung", + -13.199070930480957 + ], + [ + "▁erzeugt", + -13.199097633361816 + ], + [ + "▁Identity", + -13.199104309082031 + ], + [ + "▁dunkle", + -13.199109077453613 + ], + [ + "sustaining", + -13.19916820526123 + ], + [ + "▁pereche", + -13.199178695678711 + ], + [ + "▁neîn", + -13.199239730834961 + ], + [ + "directorul", + -13.199291229248047 + ], + [ + "▁élabor", + -13.199584007263184 + ], + [ + "▁Hollow", + -13.19960880279541 + ], + [ + "▁getestet", + -13.199751853942871 + ], + [ + "▁Promote", + -13.199797630310059 + ], + [ + "agriculture", + -13.199920654296875 + ], + [ + "▁deosebir", + -13.199934005737305 + ], + [ + "▁neam", + -13.199999809265137 + ], + [ + "aufbau", + -13.200042724609375 + ], + [ + "▁susținut", + -13.200079917907715 + ], + [ + "fueled", + -13.200119018554688 + ], + [ + "▁impresionant", + -13.200177192687988 + ], + [ + "innate", + -13.20026969909668 + ], + [ + "grenzt", + -13.200340270996094 + ], + [ + "rescued", + -13.200514793395996 + ], + [ + "bestand", + -13.200559616088867 + ], + [ + "▁adjunct", + -13.200729370117188 + ], + [ + "▁Mischung", + -13.200754165649414 + ], + [ + "▁Lease", + -13.201258659362793 + ], + [ + "espagnol", + -13.201284408569336 + ], + [ + "▁Kickstarter", + -13.201284408569336 + ], + [ + "▁buzunar", + -13.201284408569336 + ], + [ + "▁buddies", + -13.20129108428955 + ], + [ + "käufe", + -13.201485633850098 + ], + [ + "cevoir", + -13.201582908630371 + ], + [ + "▁creşte", + -13.201675415039062 + ], + [ + "▁Cluster", + -13.201825141906738 + ], + [ + "▁obișnui", + -13.201838493347168 + ], + [ + "▁cassette", + -13.201889038085938 + ], + [ + "▁optisch", + -13.201947212219238 + ], + [ + "manned", + -13.20200252532959 + ], + [ + "schneid", + -13.202362060546875 + ], + [ + "Württemberg", + -13.202393531799316 + ], + [ + "shredded", + -13.202393531799316 + ], + [ + "▁botanical", + -13.20239543914795 + ], + [ + "characterization", + -13.202445983886719 + ], + [ + "▁Durchführung", + -13.202452659606934 + ], + [ + "▁tireless", + -13.20250129699707 + ], + [ + "lässlich", + -13.20254135131836 + ], + [ + "▁Merchant", + -13.202570915222168 + ], + [ + "joutez", + -13.20259952545166 + ], + [ + "▁amélior", + -13.202676773071289 + ], + [ + "fixed", + -13.202741622924805 + ], + [ + "kho", + -13.202760696411133 + ], + [ + "▁televizor", + -13.202948570251465 + ], + [ + "▁Davies", + -13.202964782714844 + ], + [ + "enceinte", + -13.203118324279785 + ], + [ + "▁Panorama", + -13.20350456237793 + ], + [ + "▁maternal", + -13.203507423400879 + ], + [ + "diversified", + -13.203513145446777 + ], + [ + "▁Jü", + -13.203570365905762 + ], + [ + "▁naz", + -13.203730583190918 + ], + [ + "▁plonge", + -13.2039213180542 + ], + [ + "geschickt", + -13.203944206237793 + ], + [ + "MIS", + -13.204215049743652 + ], + [ + "ragged", + -13.204553604125977 + ], + [ + "▁diarrhea", + -13.20461654663086 + ], + [ + "▁tsunami", + -13.20461654663086 + ], + [ + "▁Nikola", + -13.204625129699707 + ], + [ + "▁festivities", + -13.20464038848877 + ], + [ + "potting", + -13.20479965209961 + ], + [ + "▁telefonisch", + -13.204874038696289 + ], + [ + "TAR", + -13.204971313476562 + ], + [ + "▁schimbări", + -13.205023765563965 + ], + [ + "▁occidental", + -13.205172538757324 + ], + [ + "schloss", + -13.205179214477539 + ], + [ + "Print", + -13.205284118652344 + ], + [ + "▁autoritățil", + -13.205361366271973 + ], + [ + "idos", + -13.20556640625 + ], + [ + "mediocr", + -13.20559310913086 + ], + [ + "▁Decla", + -13.205686569213867 + ], + [ + "▁Elliott", + -13.205729484558105 + ], + [ + "▁pinpoint", + -13.205734252929688 + ], + [ + "▁disciple", + -13.20579719543457 + ], + [ + "▁Cairo", + -13.2058744430542 + ], + [ + "▁15-20", + -13.2059326171875 + ], + [ + "▁limbaj", + -13.20611572265625 + ], + [ + "▁retenu", + -13.206154823303223 + ], + [ + "▁Blüte", + -13.20628833770752 + ], + [ + "▁MINI", + -13.206467628479004 + ], + [ + "▁lumină", + -13.206567764282227 + ], + [ + "▁flawed", + -13.206846237182617 + ], + [ + "▁Belarus", + -13.207067489624023 + ], + [ + "Totul", + -13.207207679748535 + ], + [ + "hôte", + -13.207273483276367 + ], + [ + "▁verbringen", + -13.207315444946289 + ], + [ + "▁simultaneous", + -13.207344055175781 + ], + [ + "▁competiți", + -13.207402229309082 + ], + [ + "▁lancement", + -13.207413673400879 + ], + [ + "▁proprietati", + -13.207432746887207 + ], + [ + "▁angajator", + -13.207465171813965 + ], + [ + "▁ignorant", + -13.207674026489258 + ], + [ + "▁indicative", + -13.207700729370117 + ], + [ + "▁Bearbeitung", + -13.207961082458496 + ], + [ + "▁Ungaria", + -13.207961082458496 + ], + [ + "▁Sfint", + -13.208015441894531 + ], + [ + "▁Trojan", + -13.20804214477539 + ], + [ + "▁1911", + -13.208100318908691 + ], + [ + "▁reliabl", + -13.2081937789917 + ], + [ + "6-0", + -13.20827865600586 + ], + [ + "obst", + -13.208523750305176 + ], + [ + "▁relève", + -13.208579063415527 + ], + [ + "▁standpoint", + -13.208874702453613 + ], + [ + "ridden", + -13.208918571472168 + ], + [ + "▁Pdf", + -13.209005355834961 + ], + [ + "tatewide", + -13.209051132202148 + ], + [ + "Water", + -13.209062576293945 + ], + [ + "▁Pricing", + -13.209089279174805 + ], + [ + "▁protecţi", + -13.209168434143066 + ], + [ + "November", + -13.209615707397461 + ], + [ + "▁televiziune", + -13.20964241027832 + ], + [ + "Sodium", + -13.209881782531738 + ], + [ + "douceur", + -13.209942817687988 + ], + [ + "▁Flasche", + -13.210183143615723 + ], + [ + "3.9", + -13.210193634033203 + ], + [ + "▁electromagnetic", + -13.210195541381836 + ], + [ + "▁mitochondria", + -13.210195541381836 + ], + [ + "Suddenly", + -13.210199356079102 + ], + [ + "▁Drupal", + -13.210201263427734 + ], + [ + "▁supraveghere", + -13.210211753845215 + ], + [ + "▁cornea", + -13.210288047790527 + ], + [ + "räumt", + -13.210309982299805 + ], + [ + "▁healed", + -13.210410118103027 + ], + [ + "Roc", + -13.210649490356445 + ], + [ + "▁temporar", + -13.210707664489746 + ], + [ + "▁amaze", + -13.210770606994629 + ], + [ + "▁confrunta", + -13.210833549499512 + ], + [ + "Afterward", + -13.210836410522461 + ], + [ + "▁festgelegt", + -13.21084213256836 + ], + [ + "▁Kuchen", + -13.210844993591309 + ], + [ + "▁perpetual", + -13.210858345031738 + ], + [ + "systematically", + -13.211000442504883 + ], + [ + "▁coloan", + -13.211006164550781 + ], + [ + "▁extensi", + -13.211058616638184 + ], + [ + "▁Județean", + -13.211315155029297 + ], + [ + "▁amelior", + -13.211315155029297 + ], + [ + "▁illustrator", + -13.211315155029297 + ], + [ + "▁titanium", + -13.211344718933105 + ], + [ + "SMEs", + -13.211384773254395 + ], + [ + "taxable", + -13.211578369140625 + ], + [ + "▁Borough", + -13.211607933044434 + ], + [ + "verlust", + -13.211772918701172 + ], + [ + "ductive", + -13.21233081817627 + ], + [ + "▁Küste", + -13.212335586547852 + ], + [ + "▁végétal", + -13.212410926818848 + ], + [ + "▁breastfeeding", + -13.212435722351074 + ], + [ + "▁captivating", + -13.212435722351074 + ], + [ + "▁Chevy", + -13.212443351745605 + ], + [ + "▁aerospace", + -13.212469100952148 + ], + [ + "pozitia", + -13.213095664978027 + ], + [ + "Tutor", + -13.213199615478516 + ], + [ + "▁spum", + -13.213312149047852 + ], + [ + "curând", + -13.213419914245605 + ], + [ + "iscus", + -13.213458061218262 + ], + [ + "October", + -13.213495254516602 + ], + [ + "▁Reparatur", + -13.213557243347168 + ], + [ + "▁Servicii", + -13.213574409484863 + ], + [ + "▁Gonz", + -13.21357536315918 + ], + [ + "▁cybersecurity", + -13.21357536315918 + ], + [ + "▁UCLA", + -13.213678359985352 + ], + [ + "rissa", + -13.213835716247559 + ], + [ + "▁Kemp", + -13.213850021362305 + ], + [ + "▁piston", + -13.214046478271484 + ], + [ + "▁révèle", + -13.214118957519531 + ], + [ + "▁posséd", + -13.21412181854248 + ], + [ + "▁versehen", + -13.214129447937012 + ], + [ + "▁scrutin", + -13.214226722717285 + ], + [ + "donnant", + -13.21436882019043 + ], + [ + "▁Geschwindigkeit", + -13.214680671691895 + ], + [ + "▁Panasonic", + -13.214680671691895 + ], + [ + "audio", + -13.214700698852539 + ], + [ + "▁Packaging", + -13.214771270751953 + ], + [ + "phra", + -13.2147798538208 + ], + [ + "▁Letzte", + -13.214954376220703 + ], + [ + "insicht", + -13.215141296386719 + ], + [ + "▁sammeln", + -13.215243339538574 + ], + [ + "▁extins", + -13.215259552001953 + ], + [ + "▁collège", + -13.215266227722168 + ], + [ + "ancies", + -13.215343475341797 + ], + [ + "▁întâlnit", + -13.215350151062012 + ], + [ + "▁Servi", + -13.215392112731934 + ], + [ + "stattet", + -13.215493202209473 + ], + [ + "▁abstraction", + -13.215566635131836 + ], + [ + "▁candidature", + -13.215592384338379 + ], + [ + "ONU", + -13.215676307678223 + ], + [ + "▁raffle", + -13.215826988220215 + ], + [ + "▁Soldier", + -13.215834617614746 + ], + [ + "▁stipulate", + -13.215883255004883 + ], + [ + "▁vizual", + -13.215950012207031 + ], + [ + "lucht", + -13.216007232666016 + ], + [ + "▁circus", + -13.216068267822266 + ], + [ + "▁decree", + -13.216259002685547 + ], + [ + "immeuble", + -13.216367721557617 + ], + [ + "Store", + -13.216426849365234 + ], + [ + "randul", + -13.216622352600098 + ], + [ + "▁narration", + -13.216933250427246 + ], + [ + "implication", + -13.216958045959473 + ], + [ + "▁discontinued", + -13.216971397399902 + ], + [ + "▁Pilates", + -13.216989517211914 + ], + [ + "▁biais", + -13.21701431274414 + ], + [ + "panel", + -13.217325210571289 + ], + [ + "▁mower", + -13.217458724975586 + ], + [ + "▁Castro", + -13.21753978729248 + ], + [ + "pregătire", + -13.217641830444336 + ], + [ + "▁denomination", + -13.218062400817871 + ], + [ + "▁throttle", + -13.21806526184082 + ], + [ + "▁finition", + -13.218086242675781 + ], + [ + "▁clarification", + -13.218286514282227 + ], + [ + "laut", + -13.218366622924805 + ], + [ + "▁wastewater", + -13.2184419631958 + ], + [ + "▁Sanchez", + -13.218770980834961 + ], + [ + "▁Umfeld", + -13.2189359664917 + ], + [ + "▁consili", + -13.218997955322266 + ], + [ + "extrait", + -13.219013214111328 + ], + [ + "ionism", + -13.2190523147583 + ], + [ + "▁Cannabis", + -13.219186782836914 + ], + [ + "▁misconduct", + -13.219186782836914 + ], + [ + "▁shepherd", + -13.219186782836914 + ], + [ + "▁feminist", + -13.21919059753418 + ], + [ + "▁criterii", + -13.219212532043457 + ], + [ + "America", + -13.219219207763672 + ], + [ + "▁Telephone", + -13.219270706176758 + ], + [ + "▁Fritz", + -13.219438552856445 + ], + [ + "▁cheltui", + -13.219794273376465 + ], + [ + "▁Übung", + -13.219857215881348 + ], + [ + "făcută", + -13.22006893157959 + ], + [ + "▁străzi", + -13.220170021057129 + ], + [ + "influencing", + -13.220315933227539 + ], + [ + "▁Democracy", + -13.220321655273438 + ], + [ + "atorium", + -13.220376014709473 + ], + [ + "▁Stufe", + -13.220465660095215 + ], + [ + "▁Cornell", + -13.220660209655762 + ], + [ + "zugehen", + -13.22074031829834 + ], + [ + "▁coton", + -13.220804214477539 + ], + [ + "▁beinhaltet", + -13.220881462097168 + ], + [ + "▁kritisch", + -13.220884323120117 + ], + [ + "▁Kalender", + -13.22105884552002 + ], + [ + "▁Teig", + -13.221253395080566 + ], + [ + "cooked", + -13.221264839172363 + ], + [ + "▁diversité", + -13.221390724182129 + ], + [ + "recognizable", + -13.221446990966797 + ], + [ + "▁Dictionary", + -13.221446990966797 + ], + [ + "attribution", + -13.22145938873291 + ], + [ + "▁Teresa", + -13.221471786499023 + ], + [ + "▁Ahmad", + -13.221487998962402 + ], + [ + "HAM", + -13.221627235412598 + ], + [ + "▁floss", + -13.221668243408203 + ], + [ + "génie", + -13.2218599319458 + ], + [ + "▁Espa", + -13.221989631652832 + ], + [ + "hersteller", + -13.221993446350098 + ], + [ + "Musée", + -13.222001075744629 + ], + [ + "▁Crawford", + -13.222579002380371 + ], + [ + "▁Phantom", + -13.222579002380371 + ], + [ + "▁Jenkins", + -13.222640037536621 + ], + [ + "genauer", + -13.222774505615234 + ], + [ + "▁acţiuni", + -13.222885131835938 + ], + [ + "▁meciuri", + -13.22322940826416 + ], + [ + "▁verstärkt", + -13.22326374053955 + ], + [ + "▁troop", + -13.22341251373291 + ], + [ + "räder", + -13.223483085632324 + ], + [ + "Putting", + -13.223536491394043 + ], + [ + "NASDAQ", + -13.223712921142578 + ], + [ + "▁Buddhism", + -13.223712921142578 + ], + [ + "▁Religious", + -13.223712921142578 + ], + [ + "▁accommodating", + -13.223712921142578 + ], + [ + "▁lendemain", + -13.223712921142578 + ], + [ + "▁plywood", + -13.223714828491211 + ], + [ + "▁inflatable", + -13.223724365234375 + ], + [ + "▁sèche", + -13.223731994628906 + ], + [ + "▁fragil", + -13.223845481872559 + ], + [ + "▁Filip", + -13.224115371704102 + ], + [ + "▁Terrace", + -13.224274635314941 + ], + [ + "Biblio", + -13.22432804107666 + ], + [ + "resides", + -13.22448444366455 + ], + [ + "▁varf", + -13.22451114654541 + ], + [ + "Bildern", + -13.224528312683105 + ], + [ + "loß", + -13.224685668945312 + ], + [ + "555", + -13.224702835083008 + ], + [ + "▁astounding", + -13.224847793579102 + ], + [ + "▁brillant", + -13.224857330322266 + ], + [ + "▁Railroad", + -13.224871635437012 + ], + [ + "minimizing", + -13.224907875061035 + ], + [ + "▁Benedict", + -13.225019454956055 + ], + [ + "▁$400", + -13.225068092346191 + ], + [ + "▁schematic", + -13.225217819213867 + ], + [ + "Canada", + -13.225371360778809 + ], + [ + "▁psihic", + -13.225415229797363 + ], + [ + "▁avertiz", + -13.225497245788574 + ], + [ + "▁Breed", + -13.225550651550293 + ], + [ + "▁gradina", + -13.225606918334961 + ], + [ + "▁Liege", + -13.225822448730469 + ], + [ + "▁Retirement", + -13.225983619689941 + ], + [ + "▁pergola", + -13.226005554199219 + ], + [ + "▁Kuwait", + -13.2260103225708 + ], + [ + "▁logistic", + -13.22629451751709 + ], + [ + "▁captive", + -13.22651481628418 + ], + [ + "prepared", + -13.226568222045898 + ], + [ + "▁prononc", + -13.226568222045898 + ], + [ + "Celui", + -13.226676940917969 + ], + [ + "deutschland", + -13.227120399475098 + ], + [ + "▁devreme", + -13.227124214172363 + ], + [ + "▁părți", + -13.227270126342773 + ], + [ + "▁1934", + -13.227517127990723 + ], + [ + "▁ersetzt", + -13.227560997009277 + ], + [ + "▁frightening", + -13.227689743041992 + ], + [ + "▁fiecărui", + -13.227819442749023 + ], + [ + "correct", + -13.22799015045166 + ], + [ + "6.6", + -13.228057861328125 + ], + [ + "▁Manitoba", + -13.228259086608887 + ], + [ + "Chartered", + -13.228416442871094 + ], + [ + "▁părăs", + -13.228543281555176 + ], + [ + "Powered", + -13.228697776794434 + ], + [ + "impede", + -13.22876262664795 + ], + [ + "agonist", + -13.22878646850586 + ], + [ + "▁stratégique", + -13.228829383850098 + ], + [ + "▁vigilant", + -13.228830337524414 + ], + [ + "faceted", + -13.228930473327637 + ], + [ + "available", + -13.229308128356934 + ], + [ + "▁Promise", + -13.229388236999512 + ], + [ + "▁humorous", + -13.229446411132812 + ], + [ + "treibt", + -13.229449272155762 + ], + [ + "▁Patrol", + -13.229514122009277 + ], + [ + "huh", + -13.229523658752441 + ], + [ + "ztlich", + -13.229804039001465 + ], + [ + "▁rejet", + -13.2299165725708 + ], + [ + "odeur", + -13.229935646057129 + ], + [ + "usziehbar", + -13.22996997833252 + ], + [ + "▁gespannt", + -13.229972839355469 + ], + [ + "church", + -13.230018615722656 + ], + [ + "▁Popescu", + -13.230109214782715 + ], + [ + "▁einmalig", + -13.230518341064453 + ], + [ + "diluted", + -13.230551719665527 + ], + [ + "lighted", + -13.231070518493652 + ], + [ + "▁stattfinden", + -13.23111343383789 + ], + [ + "▁Reaktion", + -13.231183052062988 + ], + [ + "▁délivr", + -13.23134994506836 + ], + [ + "▁Helfer", + -13.231407165527344 + ], + [ + "Fiind", + -13.23142147064209 + ], + [ + "rmând", + -13.231507301330566 + ], + [ + "▁Beweis", + -13.231671333312988 + ], + [ + "▁Violet", + -13.231733322143555 + ], + [ + "kamera", + -13.231764793395996 + ], + [ + "▁Romney", + -13.231779098510742 + ], + [ + "▁Bradford", + -13.231800079345703 + ], + [ + "stellbar", + -13.231852531433105 + ], + [ + "▁roadmap", + -13.231921195983887 + ], + [ + "▁subconscious", + -13.23204231262207 + ], + [ + "contrasting", + -13.232138633728027 + ], + [ + "mécanisme", + -13.232254981994629 + ], + [ + "kämpft", + -13.232255935668945 + ], + [ + "▁Preston", + -13.232719421386719 + ], + [ + "▁Anliegen", + -13.232802391052246 + ], + [ + "▁necessities", + -13.232827186584473 + ], + [ + "▁detrimental", + -13.232828140258789 + ], + [ + "▁sprawl", + -13.232830047607422 + ], + [ + "▁Erfüllung", + -13.23287582397461 + ], + [ + "▁massacre", + -13.2329683303833 + ], + [ + "▁pietre", + -13.232987403869629 + ], + [ + "▁situații", + -13.233027458190918 + ], + [ + "vêtement", + -13.233080863952637 + ], + [ + "Listed", + -13.233144760131836 + ], + [ + "▁extravagant", + -13.233399391174316 + ], + [ + "▁axle", + -13.233525276184082 + ], + [ + "OTT", + -13.233663558959961 + ], + [ + "wildly", + -13.233744621276855 + ], + [ + "70,000", + -13.233797073364258 + ], + [ + "▁chauffeur", + -13.23384952545166 + ], + [ + "▁Brasov", + -13.233972549438477 + ], + [ + "▁Fähigkeiten", + -13.233972549438477 + ], + [ + "▁staatlich", + -13.234025001525879 + ], + [ + "outlines", + -13.234034538269043 + ], + [ + "▁aufmerksam", + -13.234545707702637 + ], + [ + "▁Relation", + -13.234749794006348 + ], + [ + "▁Stephan", + -13.234947204589844 + ], + [ + "yland", + -13.23494815826416 + ], + [ + "proclaimed", + -13.235086441040039 + ], + [ + "Wallet", + -13.235100746154785 + ], + [ + "verarbeitung", + -13.235118865966797 + ], + [ + "▁überraschen", + -13.235118865966797 + ], + [ + "▁Injury", + -13.235125541687012 + ], + [ + "▁horsepower", + -13.235237121582031 + ], + [ + "▁Tropical", + -13.23523998260498 + ], + [ + "▁wives", + -13.235459327697754 + ], + [ + "adherence", + -13.235677719116211 + ], + [ + "schätzung", + -13.235692977905273 + ], + [ + "▁coherent", + -13.235708236694336 + ], + [ + "parlament", + -13.23574161529541 + ], + [ + "▁stup", + -13.235852241516113 + ], + [ + "▁resonance", + -13.23626708984375 + ], + [ + "▁inheritance", + -13.236355781555176 + ], + [ + "commenced", + -13.23645305633545 + ], + [ + "▁supervise", + -13.236475944519043 + ], + [ + "▁facilitator", + -13.236488342285156 + ], + [ + "fares", + -13.236678123474121 + ], + [ + "▁Tibet", + -13.23672866821289 + ], + [ + "communication", + -13.236787796020508 + ], + [ + "yog", + -13.236806869506836 + ], + [ + "▁WLAN", + -13.236842155456543 + ], + [ + "▁Chili", + -13.23685073852539 + ], + [ + "▁Harold", + -13.2369966506958 + ], + [ + "▁Guerre", + -13.237005233764648 + ], + [ + "▁Femme", + -13.237146377563477 + ], + [ + "▁Lisbon", + -13.237231254577637 + ], + [ + "▁mulțumi", + -13.237415313720703 + ], + [ + "▁vorbereitet", + -13.237415313720703 + ], + [ + "▁aperture", + -13.237422943115234 + ], + [ + "▁Universities", + -13.237442016601562 + ], + [ + "▁reckless", + -13.237471580505371 + ], + [ + "▁Botschaft", + -13.237533569335938 + ], + [ + "▁Squad", + -13.238022804260254 + ], + [ + "▁buoy", + -13.238061904907227 + ], + [ + "participarea", + -13.238236427307129 + ], + [ + "stiinta", + -13.238389015197754 + ], + [ + "▁repeal", + -13.238415718078613 + ], + [ + "drilled", + -13.238489151000977 + ], + [ + "▁Conversation", + -13.238567352294922 + ], + [ + "▁subsid", + -13.238615036010742 + ], + [ + "anstalt", + -13.238741874694824 + ], + [ + "faktor", + -13.23874282836914 + ], + [ + "▁swamp", + -13.238790512084961 + ], + [ + "pflichtig", + -13.238921165466309 + ], + [ + "▁camion", + -13.238970756530762 + ], + [ + "▁gouvern", + -13.239032745361328 + ], + [ + "▁archaeological", + -13.239141464233398 + ], + [ + "▁glitch", + -13.239198684692383 + ], + [ + "average", + -13.239294052124023 + ], + [ + "▁coffre", + -13.239481925964355 + ], + [ + "▁Insert", + -13.239513397216797 + ], + [ + "▁colonne", + -13.2395601272583 + ], + [ + "▁Assess", + -13.23962116241455 + ], + [ + "▁batches", + -13.239716529846191 + ], + [ + "▁ammunition", + -13.239717483520508 + ], + [ + "▁scissors", + -13.239717483520508 + ], + [ + "▁Locksmith", + -13.239740371704102 + ], + [ + "▁Bollywood", + -13.239991188049316 + ], + [ + "expédi", + -13.240288734436035 + ], + [ + "▁descendants", + -13.24039363861084 + ], + [ + "▁unwilling", + -13.240506172180176 + ], + [ + "▁Noise", + -13.240649223327637 + ], + [ + "▁Directive", + -13.240660667419434 + ], + [ + "ATOR", + -13.240765571594238 + ], + [ + "▁Rajasthan", + -13.240870475769043 + ], + [ + "▁chaotic", + -13.240888595581055 + ], + [ + "▁NEED", + -13.24093246459961 + ], + [ + "▁părere", + -13.24095344543457 + ], + [ + "▁begonnen", + -13.241448402404785 + ], + [ + "▁Reef", + -13.241504669189453 + ], + [ + "▁vorgesehen", + -13.24161434173584 + ], + [ + "▁allocate", + -13.241826057434082 + ], + [ + "▁exceptionnel", + -13.241936683654785 + ], + [ + "▁gefertigt", + -13.24203872680664 + ], + [ + "fading", + -13.242072105407715 + ], + [ + "▁interpersonal", + -13.242178916931152 + ], + [ + "▁occupie", + -13.242204666137695 + ], + [ + "▁Teatr", + -13.242579460144043 + ], + [ + "▁kilomètres", + -13.242603302001953 + ], + [ + "▁verbinden", + -13.242608070373535 + ], + [ + "▁Frucht", + -13.242643356323242 + ], + [ + "augmented", + -13.242720603942871 + ], + [ + "▁twentieth", + -13.243181228637695 + ], + [ + "▁aggression", + -13.243183135986328 + ], + [ + "▁Miracle", + -13.243184089660645 + ], + [ + "▁peninsula", + -13.243184089660645 + ], + [ + "▁Fernando", + -13.243185043334961 + ], + [ + "▁autorităţil", + -13.243203163146973 + ], + [ + "▁Iisus", + -13.243217468261719 + ], + [ + "▁puck", + -13.243423461914062 + ], + [ + "titel", + -13.243454933166504 + ], + [ + "▁remake", + -13.243562698364258 + ], + [ + "freiheit", + -13.243563652038574 + ], + [ + "▁Belize", + -13.243590354919434 + ], + [ + "▁secundar", + -13.243779182434082 + ], + [ + "▁perpetrat", + -13.243786811828613 + ], + [ + "jedenfalls", + -13.243797302246094 + ], + [ + "linked", + -13.243820190429688 + ], + [ + "▁dégag", + -13.243918418884277 + ], + [ + "LAY", + -13.243926048278809 + ], + [ + "behandlung", + -13.244172096252441 + ], + [ + "▁1928", + -13.244193077087402 + ], + [ + "▁Nickel", + -13.244205474853516 + ], + [ + "rophy", + -13.244256973266602 + ], + [ + "▁autonomy", + -13.244338989257812 + ], + [ + "▁Treffen", + -13.244402885437012 + ], + [ + "▁groundbreaking", + -13.24445915222168 + ], + [ + "politisch", + -13.244484901428223 + ], + [ + "▁Vector", + -13.244553565979004 + ], + [ + "oricine", + -13.244684219360352 + ], + [ + "utilisées", + -13.244684219360352 + ], + [ + "plete", + -13.244771003723145 + ], + [ + "droht", + -13.244918823242188 + ], + [ + "▁alternativ", + -13.245104789733887 + ], + [ + "▁Bernie", + -13.245213508605957 + ], + [ + "▁embellish", + -13.245260238647461 + ], + [ + "▁Curriculum", + -13.24549674987793 + ], + [ + "herrscht", + -13.245525360107422 + ], + [ + "escalier", + -13.246126174926758 + ], + [ + "hian", + -13.246333122253418 + ], + [ + "ertaining", + -13.246387481689453 + ], + [ + "hitter", + -13.246430397033691 + ], + [ + "▁kompetente", + -13.24665641784668 + ], + [ + "▁trekking", + -13.246760368347168 + ], + [ + "EACH", + -13.246841430664062 + ], + [ + "▁Bedien", + -13.2470703125 + ], + [ + "starred", + -13.247169494628906 + ], + [ + "▁săptămâna", + -13.247236251831055 + ], + [ + "▁Gratuit", + -13.247239112854004 + ], + [ + "▁Jahrzehnte", + -13.247241020202637 + ], + [ + "ingénieur", + -13.24731731414795 + ], + [ + "▁Huang", + -13.24736213684082 + ], + [ + "Music", + -13.247401237487793 + ], + [ + "misiei", + -13.247544288635254 + ], + [ + "▁masuri", + -13.247733116149902 + ], + [ + "▁Achievement", + -13.247817039489746 + ], + [ + "▁Dorothy", + -13.247817039489746 + ], + [ + "blätter", + -13.247817993164062 + ], + [ + "éloign", + -13.247817993164062 + ], + [ + "▁Anglia", + -13.247990608215332 + ], + [ + "brach", + -13.248013496398926 + ], + [ + "▁Optimization", + -13.248085021972656 + ], + [ + "6.7", + -13.248170852661133 + ], + [ + "winkel", + -13.248210906982422 + ], + [ + "contenan", + -13.248347282409668 + ], + [ + "Astăzi", + -13.248398780822754 + ], + [ + "wiped", + -13.248441696166992 + ], + [ + "granting", + -13.248665809631348 + ], + [ + "▁plăti", + -13.248859405517578 + ], + [ + "▁Compensation", + -13.248979568481445 + ], + [ + "▁Verkäufer", + -13.248979568481445 + ], + [ + "▁angajați", + -13.248980522155762 + ], + [ + "▁diminished", + -13.24902057647705 + ], + [ + "employment", + -13.249250411987305 + ], + [ + "yahoo", + -13.249435424804688 + ], + [ + "▁détrui", + -13.249698638916016 + ], + [ + "▁suffisant", + -13.24982738494873 + ], + [ + "▁Moldovei", + -13.250144004821777 + ], + [ + "▁Pokemon", + -13.250144004821777 + ], + [ + "▁Malcolm", + -13.250144958496094 + ], + [ + "▁mysteries", + -13.250147819519043 + ], + [ + "▁Diversity", + -13.250149726867676 + ], + [ + "▁clinique", + -13.250327110290527 + ], + [ + "landais", + -13.250344276428223 + ], + [ + "▁campanii", + -13.250399589538574 + ], + [ + "▁témoignage", + -13.250439643859863 + ], + [ + "▁paralel", + -13.250467300415039 + ], + [ + "▁travailleurs", + -13.250576972961426 + ], + [ + "▁salvage", + -13.250580787658691 + ], + [ + "▁crayon", + -13.250732421875 + ], + [ + "immédiat", + -13.25085163116455 + ], + [ + "hopped", + -13.250958442687988 + ], + [ + "▁senzor", + -13.25102710723877 + ], + [ + "▁imbunatati", + -13.251073837280273 + ], + [ + "▁capitalize", + -13.2511568069458 + ], + [ + "▁Elephant", + -13.25130844116211 + ], + [ + "▁insomnia", + -13.25131607055664 + ], + [ + "▁Ansicht", + -13.251325607299805 + ], + [ + "▁lupte", + -13.251556396484375 + ], + [ + "▁genomic", + -13.251557350158691 + ], + [ + "▁Grape", + -13.251769065856934 + ], + [ + "MONT", + -13.25197982788086 + ], + [ + "métiers", + -13.252004623413086 + ], + [ + "▁Pierce", + -13.252123832702637 + ], + [ + "consulted", + -13.252388954162598 + ], + [ + "▁Responsible", + -13.252474784851074 + ], + [ + "symmetry", + -13.252476692199707 + ], + [ + "▁sulfur", + -13.252487182617188 + ], + [ + "▁înapoi", + -13.252510070800781 + ], + [ + "▁Junction", + -13.252549171447754 + ], + [ + "▁trilogy", + -13.252622604370117 + ], + [ + "▁unkompliziert", + -13.253059387207031 + ], + [ + "▁zugänglich", + -13.253059387207031 + ], + [ + "▁préfèr", + -13.253153800964355 + ], + [ + "oarelor", + -13.253361701965332 + ], + [ + "langage", + -13.253460884094238 + ], + [ + "admired", + -13.253589630126953 + ], + [ + "platform", + -13.253595352172852 + ], + [ + "▁pluralit", + -13.253616333007812 + ], + [ + "▁betrachtet", + -13.253643035888672 + ], + [ + "▁reproduc", + -13.253790855407715 + ], + [ + "exemple", + -13.25385570526123 + ], + [ + "▁conspir", + -13.254347801208496 + ], + [ + "▁pelvi", + -13.25437068939209 + ], + [ + "leased", + -13.254551887512207 + ], + [ + "▁souffle", + -13.254570960998535 + ], + [ + "▁approprié", + -13.254705429077148 + ], + [ + "absorbing", + -13.254817962646484 + ], + [ + "dividing", + -13.254855155944824 + ], + [ + "herently", + -13.255147933959961 + ], + [ + "▁blister", + -13.255179405212402 + ], + [ + "löst", + -13.255182266235352 + ], + [ + "Apotheke", + -13.255398750305176 + ], + [ + "▁Asociaţi", + -13.255424499511719 + ], + [ + "education", + -13.255904197692871 + ], + [ + "▁retract", + -13.255982398986816 + ], + [ + "▁appraise", + -13.255990982055664 + ], + [ + "▁Debbie", + -13.256075859069824 + ], + [ + "▁arhitect", + -13.256193161010742 + ], + [ + "▁Mohamed", + -13.256568908691406 + ], + [ + "▁îndrept", + -13.256568908691406 + ], + [ + "▁exhaustive", + -13.256753921508789 + ], + [ + "▁Notebook", + -13.257004737854004 + ], + [ + "crashing", + -13.257068634033203 + ], + [ + "▁Betreiber", + -13.257155418395996 + ], + [ + "▁présidentielle", + -13.257159233093262 + ], + [ + "▁Träger", + -13.257172584533691 + ], + [ + "▁noteworthy", + -13.257259368896484 + ], + [ + "▁séparé", + -13.257729530334473 + ], + [ + "▁doppelt", + -13.257795333862305 + ], + [ + "tină", + -13.258066177368164 + ], + [ + "Quelques", + -13.258085250854492 + ], + [ + "culoarea", + -13.258100509643555 + ], + [ + "▁ethic", + -13.258166313171387 + ], + [ + "▁cohesive", + -13.258329391479492 + ], + [ + "▁congratulations", + -13.258334159851074 + ], + [ + "▁sovereignty", + -13.25833797454834 + ], + [ + "▁Aplica", + -13.258413314819336 + ], + [ + "▁Covenant", + -13.25851058959961 + ], + [ + "▁multicultural", + -13.258591651916504 + ], + [ + "assemblée", + -13.258955001831055 + ], + [ + "▁petals", + -13.258974075317383 + ], + [ + "erode", + -13.259026527404785 + ], + [ + "▁porumb", + -13.259035110473633 + ], + [ + "▁Barrier", + -13.259050369262695 + ], + [ + "▁WWE", + -13.259085655212402 + ], + [ + "Etwa", + -13.259175300598145 + ], + [ + "▁recunosc", + -13.259271621704102 + ], + [ + "▁turtle", + -13.259415626525879 + ], + [ + "▁vârf", + -13.259444236755371 + ], + [ + "▁Ranking", + -13.259448051452637 + ], + [ + "▁sympathetic", + -13.259514808654785 + ], + [ + "exploded", + -13.2595796585083 + ], + [ + "▁influenț", + -13.259591102600098 + ], + [ + "▁Fireplace", + -13.25972843170166 + ], + [ + "▁Nachwuchs", + -13.260090827941895 + ], + [ + "▁empfohlen", + -13.260090827941895 + ], + [ + "Voir", + -13.260661125183105 + ], + [ + "▁Vimeo", + -13.26069164276123 + ], + [ + "▁weaving", + -13.260967254638672 + ], + [ + "beneficiar", + -13.261198043823242 + ], + [ + "▁balade", + -13.261216163635254 + ], + [ + "▁Mercy", + -13.261566162109375 + ], + [ + "3.000", + -13.26181697845459 + ], + [ + "Immediately", + -13.261857032775879 + ], + [ + "▁frosting", + -13.261868476867676 + ], + [ + "▁Fiscal", + -13.261882781982422 + ], + [ + "downloadable", + -13.26188850402832 + ], + [ + "▁Hwy", + -13.261902809143066 + ], + [ + "évoluer", + -13.261951446533203 + ], + [ + "▁vieille", + -13.2620210647583 + ], + [ + "heißen", + -13.262436866760254 + ], + [ + "▁étrangère", + -13.262446403503418 + ], + [ + "▁incapable", + -13.262490272521973 + ], + [ + "volunteered", + -13.262520790100098 + ], + [ + "fortunately", + -13.262564659118652 + ], + [ + "company", + -13.262738227844238 + ], + [ + "denkt", + -13.2627592086792 + ], + [ + "▁citesc", + -13.262818336486816 + ], + [ + "▁intrebare", + -13.262896537780762 + ], + [ + "pleasantly", + -13.262990951538086 + ], + [ + "▁Minecraft", + -13.263079643249512 + ], + [ + "▁Schmuck", + -13.26308536529541 + ], + [ + "▁maghiar", + -13.263099670410156 + ], + [ + "conductive", + -13.263339042663574 + ], + [ + "décrit", + -13.263534545898438 + ], + [ + "provide", + -13.26353931427002 + ], + [ + "▁depăş", + -13.263628959655762 + ], + [ + "ituated", + -13.263657569885254 + ], + [ + "▁trumpet", + -13.264216423034668 + ], + [ + "▁nastere", + -13.2642240524292 + ], + [ + "▁Région", + -13.264245986938477 + ], + [ + "Occupational", + -13.264411926269531 + ], + [ + "▁Grecia", + -13.264415740966797 + ], + [ + "▁Conclusion", + -13.26449203491211 + ], + [ + "▁collaborateurs", + -13.264927864074707 + ], + [ + "▁Alibaba", + -13.265398025512695 + ], + [ + "▁amplasat", + -13.265398979187012 + ], + [ + "▁Plastik", + -13.265992164611816 + ], + [ + "▁stash", + -13.266023635864258 + ], + [ + "▁Bonnie", + -13.266045570373535 + ], + [ + "▁ehrlich", + -13.266156196594238 + ], + [ + "▁contention", + -13.266193389892578 + ], + [ + "▁Oslo", + -13.266263008117676 + ], + [ + "englische", + -13.266319274902344 + ], + [ + "measurable", + -13.266439437866211 + ], + [ + "loppy", + -13.266470909118652 + ], + [ + "▁Refrigerat", + -13.266579627990723 + ], + [ + "▁remboursement", + -13.266580581665039 + ], + [ + "▁societăţi", + -13.266580581665039 + ], + [ + "translates", + -13.266607284545898 + ], + [ + "ichtigkeit", + -13.266685485839844 + ], + [ + "agentur", + -13.266741752624512 + ], + [ + "▁compute", + -13.266800880432129 + ], + [ + "berater", + -13.266921043395996 + ], + [ + "▁Georgetown", + -13.266945838928223 + ], + [ + "wolves", + -13.266951560974121 + ], + [ + "ceased", + -13.266959190368652 + ], + [ + "▁Binary", + -13.267030715942383 + ], + [ + "▁kontrolliert", + -13.267172813415527 + ], + [ + "informer", + -13.267416000366211 + ], + [ + "lehrer", + -13.267578125 + ], + [ + "lieferung", + -13.267709732055664 + ], + [ + "▁definit", + -13.267742156982422 + ], + [ + "chèque", + -13.267765045166016 + ], + [ + "▁clergy", + -13.267765045166016 + ], + [ + "▁ministries", + -13.267767906188965 + ], + [ + "▁plague", + -13.267779350280762 + ], + [ + "▁Jedi", + -13.267805099487305 + ], + [ + "▁Blackjack", + -13.268025398254395 + ], + [ + "▁subsection", + -13.26807689666748 + ], + [ + "▁Sachsen", + -13.268121719360352 + ], + [ + "valorile", + -13.268146514892578 + ], + [ + "molded", + -13.26816463470459 + ], + [ + "▁betroffen", + -13.268183708190918 + ], + [ + "▁adecvat", + -13.268229484558105 + ], + [ + "▁collègue", + -13.26835823059082 + ], + [ + "▁chinez", + -13.268392562866211 + ], + [ + "emelle", + -13.268695831298828 + ], + [ + "▁körperliche", + -13.268902778625488 + ], + [ + "▁titan", + -13.26891040802002 + ], + [ + "▁sophistication", + -13.268951416015625 + ], + [ + "▁provoke", + -13.268957138061523 + ], + [ + "▁pensii", + -13.269042015075684 + ], + [ + "▁Tucker", + -13.269377708435059 + ], + [ + "▁motoare", + -13.26943302154541 + ], + [ + "supported", + -13.269536972045898 + ], + [ + "▁Sicil", + -13.269697189331055 + ], + [ + "▁Ausgangs", + -13.26987361907959 + ], + [ + "▁verletzt", + -13.269908905029297 + ], + [ + "Ligue", + -13.269996643066406 + ], + [ + "▁organizatori", + -13.270026206970215 + ], + [ + "▁apprentice", + -13.270099639892578 + ], + [ + "▁Potato", + -13.270183563232422 + ], + [ + "▁Duft", + -13.27039623260498 + ], + [ + "▁medicament", + -13.270566940307617 + ], + [ + "Hôtel", + -13.270740509033203 + ], + [ + "▁Triangle", + -13.270842552185059 + ], + [ + "buted", + -13.271100044250488 + ], + [ + "▁Bentley", + -13.271336555480957 + ], + [ + "următoarele", + -13.271389961242676 + ], + [ + "animate", + -13.271404266357422 + ], + [ + "megapixel", + -13.271404266357422 + ], + [ + "einfachen", + -13.271514892578125 + ], + [ + "▁performanț", + -13.271544456481934 + ], + [ + "lurry", + -13.27184009552002 + ], + [ + "suffisamment", + -13.27192211151123 + ], + [ + "▁Weihnachten", + -13.27192211151123 + ], + [ + "▁Detective", + -13.27194595336914 + ], + [ + "▁lovit", + -13.272049903869629 + ], + [ + "▁blouse", + -13.27213191986084 + ], + [ + "▁hartie", + -13.272163391113281 + ], + [ + "vro", + -13.27225112915039 + ], + [ + "▁disastrous", + -13.272517204284668 + ], + [ + "vermutlich", + -13.2725191116333 + ], + [ + "▁Stafford", + -13.272527694702148 + ], + [ + "ehlt", + -13.272628784179688 + ], + [ + "▁vielseitig", + -13.272643089294434 + ], + [ + "Manifest", + -13.273274421691895 + ], + [ + "homage", + -13.27354907989502 + ], + [ + "menée", + -13.273566246032715 + ], + [ + "▁erläuter", + -13.27370834350586 + ], + [ + "▁volontaire", + -13.273709297180176 + ], + [ + "wrought", + -13.27371597290039 + ], + [ + "▁Naples", + -13.273719787597656 + ], + [ + "recommending", + -13.273759841918945 + ], + [ + "▁thermique", + -13.273774147033691 + ], + [ + "▁subtitle", + -13.273787498474121 + ], + [ + "▁Slam", + -13.273809432983398 + ], + [ + "▁necesitate", + -13.273809432983398 + ], + [ + "trimmed", + -13.274099349975586 + ], + [ + "urmatoarele", + -13.274178504943848 + ], + [ + "▁Sorin", + -13.274245262145996 + ], + [ + "▁compromis", + -13.274300575256348 + ], + [ + "overcoming", + -13.274477005004883 + ], + [ + "▁Samantha", + -13.274901390075684 + ], + [ + "dazzling", + -13.27490234375 + ], + [ + "▁Pearson", + -13.274903297424316 + ], + [ + "▁glazing", + -13.274911880493164 + ], + [ + "Revelation", + -13.274921417236328 + ], + [ + "destinée", + -13.275156021118164 + ], + [ + "öffnet", + -13.27515983581543 + ], + [ + "CERT", + -13.275327682495117 + ], + [ + "▁Sneak", + -13.275503158569336 + ], + [ + "proiectele", + -13.275605201721191 + ], + [ + "▁longitudinal", + -13.27609634399414 + ], + [ + "▁cocaine", + -13.276098251342773 + ], + [ + "▁universitar", + -13.276108741760254 + ], + [ + "▁refreshments", + -13.276166915893555 + ], + [ + "▁instanţ", + -13.276243209838867 + ], + [ + "▁kostenfrei", + -13.276397705078125 + ], + [ + "▁comédie", + -13.276451110839844 + ], + [ + "▁Locat", + -13.276725769042969 + ], + [ + "▁Albania", + -13.276732444763184 + ], + [ + "▁mécanique", + -13.276776313781738 + ], + [ + "messung", + -13.27683162689209 + ], + [ + "issus", + -13.277260780334473 + ], + [ + "pinned", + -13.277328491210938 + ], + [ + "▁sanft", + -13.277335166931152 + ], + [ + "▁geprüft", + -13.277435302734375 + ], + [ + "▁procè", + -13.277442932128906 + ], + [ + "▁Üb", + -13.277765274047852 + ], + [ + "5-0", + -13.277802467346191 + ], + [ + "▁Catering", + -13.277957916259766 + ], + [ + "▁prosperous", + -13.27801513671875 + ], + [ + "▁replication", + -13.278098106384277 + ], + [ + "▁obese", + -13.278441429138184 + ], + [ + "clerosis", + -13.278489112854004 + ], + [ + "▁Carnegie", + -13.278489112854004 + ], + [ + "▁Incredible", + -13.278489112854004 + ], + [ + "▁Teppich", + -13.278489112854004 + ], + [ + "▁crunchy", + -13.278489112854004 + ], + [ + "▁vomiting", + -13.278529167175293 + ], + [ + "▁sourire", + -13.278619766235352 + ], + [ + "publish", + -13.278948783874512 + ], + [ + "▁exterioar", + -13.279094696044922 + ], + [ + "▁forehead", + -13.279107093811035 + ], + [ + "▁climatique", + -13.279313087463379 + ], + [ + "▁conservator", + -13.279458999633789 + ], + [ + "▁Russland", + -13.279687881469727 + ], + [ + "▁kombiniert", + -13.279687881469727 + ], + [ + "▁Thrones", + -13.279688835144043 + ], + [ + "▁Griffith", + -13.27968978881836 + ], + [ + "▁fragrant", + -13.279695510864258 + ], + [ + "▁RSVP", + -13.279698371887207 + ], + [ + "klima", + -13.279751777648926 + ], + [ + "▁situație", + -13.279808044433594 + ], + [ + "deschiderea", + -13.280009269714355 + ], + [ + "▁moale", + -13.280033111572266 + ], + [ + "▁Trevor", + -13.280112266540527 + ], + [ + "ménager", + -13.28011417388916 + ], + [ + "deploying", + -13.280428886413574 + ], + [ + "▁Loft", + -13.280500411987305 + ], + [ + "▁Willkommen", + -13.28059196472168 + ], + [ + "▁Bezirks", + -13.280887603759766 + ], + [ + "▁Himself", + -13.280975341796875 + ], + [ + "▁quarant", + -13.28101634979248 + ], + [ + "▁1901", + -13.281079292297363 + ], + [ + "▁tripod", + -13.28136920928955 + ], + [ + "▁récolt", + -13.281553268432617 + ], + [ + "natură", + -13.281631469726562 + ], + [ + "School", + -13.281649589538574 + ], + [ + "contested", + -13.281773567199707 + ], + [ + "bwohl", + -13.281784057617188 + ], + [ + "Darren", + -13.281830787658691 + ], + [ + "medicine", + -13.281903266906738 + ], + [ + "▁Impuls", + -13.282041549682617 + ], + [ + "prevailing", + -13.282057762145996 + ], + [ + "▁orthodontic", + -13.282089233398438 + ], + [ + "▁sequential", + -13.282089233398438 + ], + [ + "▁Kolkata", + -13.28209114074707 + ], + [ + "▁séch", + -13.282100677490234 + ], + [ + "▁diaper", + -13.28212833404541 + ], + [ + "▁simplifie", + -13.282144546508789 + ], + [ + "▁reflux", + -13.282163619995117 + ], + [ + "▁Hypo", + -13.282242774963379 + ], + [ + "imprimer", + -13.282251358032227 + ], + [ + "▁Folosi", + -13.282401084899902 + ], + [ + "Info", + -13.282570838928223 + ], + [ + "▁Investiga", + -13.282801628112793 + ], + [ + "stabilirea", + -13.282845497131348 + ], + [ + "élis", + -13.283149719238281 + ], + [ + "ccessed", + -13.28320026397705 + ], + [ + "▁recyclable", + -13.283293724060059 + ], + [ + "▁forbidden", + -13.283295631408691 + ], + [ + "▁Colonel", + -13.283297538757324 + ], + [ + "▁nisip", + -13.28330135345459 + ], + [ + "▁Fundamental", + -13.283303260803223 + ], + [ + "▁nouveauté", + -13.283308029174805 + ], + [ + "khi", + -13.283357620239258 + ], + [ + "▁ecology", + -13.28339672088623 + ], + [ + "▁filament", + -13.283540725708008 + ], + [ + "▁relentless", + -13.283559799194336 + ], + [ + "▁Behavior", + -13.283669471740723 + ], + [ + "titulaire", + -13.283900260925293 + ], + [ + "▁administrativ", + -13.28404426574707 + ], + [ + "▁Vorlage", + -13.284209251403809 + ], + [ + "zeigte", + -13.28427791595459 + ], + [ + "▁Bäume", + -13.284497261047363 + ], + [ + "▁Kartoffel", + -13.284497261047363 + ], + [ + "▁Possible", + -13.284500122070312 + ], + [ + "▁perturb", + -13.28466510772705 + ], + [ + "▁Grigor", + -13.284717559814453 + ], + [ + "▁streng", + -13.284759521484375 + ], + [ + "▁vânzare", + -13.285101890563965 + ], + [ + "concentrating", + -13.285698890686035 + ], + [ + "▁rechtzeitig", + -13.2857027053833 + ], + [ + "▁eternity", + -13.28570556640625 + ], + [ + "▁Puzzle", + -13.28575611114502 + ], + [ + "▁malade", + -13.285775184631348 + ], + [ + "▁Metallic", + -13.285776138305664 + ], + [ + "▁Unterhaltung", + -13.285783767700195 + ], + [ + "▁4:00", + -13.285820960998535 + ], + [ + "▁magique", + -13.285908699035645 + ], + [ + "▁cellphone", + -13.285975456237793 + ], + [ + "▁inhibition", + -13.286023139953613 + ], + [ + "▁remplacement", + -13.286025047302246 + ], + [ + "▁WWII", + -13.286089897155762 + ], + [ + "Eff", + -13.286258697509766 + ], + [ + "kontakt", + -13.286832809448242 + ], + [ + "Update", + -13.286869049072266 + ], + [ + "▁Emerald", + -13.286910057067871 + ], + [ + "▁hammock", + -13.286910057067871 + ], + [ + "POWER", + -13.286917686462402 + ], + [ + "automne", + -13.286917686462402 + ], + [ + "▁(2004)", + -13.286961555480957 + ], + [ + "▁participanți", + -13.287012100219727 + ], + [ + "1998)", + -13.287014961242676 + ], + [ + "▁deletion", + -13.287186622619629 + ], + [ + "▁Proiect", + -13.287226676940918 + ], + [ + "IDENT", + -13.287504196166992 + ], + [ + "▁precis", + -13.287623405456543 + ], + [ + "▁limp", + -13.287676811218262 + ], + [ + "▁Pompe", + -13.287686347961426 + ], + [ + "▁ménage", + -13.28780746459961 + ], + [ + "▁Wahrheit", + -13.288119316101074 + ], + [ + "▁Intelligent", + -13.28812026977539 + ], + [ + "▁instability", + -13.2881441116333 + ], + [ + "insurance", + -13.288346290588379 + ], + [ + "▁Nursery", + -13.288352966308594 + ], + [ + "▁synonym", + -13.288427352905273 + ], + [ + "▁ignite", + -13.28848934173584 + ], + [ + "▁Vernon", + -13.28849983215332 + ], + [ + "purchase", + -13.288524627685547 + ], + [ + "▁disponibilité", + -13.288662910461426 + ], + [ + "▁producţi", + -13.28909969329834 + ], + [ + "▁Pentagon", + -13.289329528808594 + ], + [ + "▁illumination", + -13.289329528808594 + ], + [ + "▁obsolete", + -13.289329528808594 + ], + [ + "▁unacceptable", + -13.28933048248291 + ], + [ + "Gleichzeitig", + -13.289938926696777 + ], + [ + "rutsch", + -13.290071487426758 + ], + [ + "viziuni", + -13.290409088134766 + ], + [ + "▁Nicaragua", + -13.29054069519043 + ], + [ + "▁hesitation", + -13.290541648864746 + ], + [ + "▁nascut", + -13.290545463562012 + ], + [ + "▁Warehouse", + -13.29055404663086 + ], + [ + "geboten", + -13.290558815002441 + ], + [ + "▁Lagos", + -13.290844917297363 + ], + [ + "produced", + -13.290874481201172 + ], + [ + "cativa", + -13.291309356689453 + ], + [ + "▁Tracy", + -13.291326522827148 + ], + [ + "Projekt", + -13.291468620300293 + ], + [ + "▁malaria", + -13.291692733764648 + ], + [ + "▁Baldwin", + -13.291755676269531 + ], + [ + "Take", + -13.291791915893555 + ], + [ + "▁fluctuations", + -13.291844367980957 + ], + [ + "▁titular", + -13.29194450378418 + ], + [ + "bmw", + -13.291976928710938 + ], + [ + "▁brevet", + -13.29202651977539 + ], + [ + "étapes", + -13.292173385620117 + ], + [ + "wikipedia", + -13.292373657226562 + ], + [ + "▁corporal", + -13.292424201965332 + ], + [ + "▁Schönheit", + -13.2926664352417 + ], + [ + "utilizatorii", + -13.292695999145508 + ], + [ + "INFO", + -13.292807579040527 + ], + [ + "▁formularul", + -13.292900085449219 + ], + [ + "femi", + -13.292959213256836 + ], + [ + "Konferenz", + -13.29296875 + ], + [ + "▁carnival", + -13.29296875 + ], + [ + "▁Kräuter", + -13.292969703674316 + ], + [ + "▁gelernt", + -13.292981147766113 + ], + [ + "▁Sherman", + -13.293017387390137 + ], + [ + "▁persistence", + -13.293289184570312 + ], + [ + "▁Behörden", + -13.293577194213867 + ], + [ + "▁Frühjahr", + -13.293578147888184 + ], + [ + "▁Guvern", + -13.293649673461914 + ], + [ + "interpreting", + -13.293878555297852 + ], + [ + "▁nommé", + -13.294021606445312 + ], + [ + "consult", + -13.294035911560059 + ], + [ + "▁obligaţi", + -13.294184684753418 + ], + [ + "▁Newspaper", + -13.2942476272583 + ], + [ + "(2005)", + -13.294515609741211 + ], + [ + "pumped", + -13.294614791870117 + ], + [ + "▁autoritati", + -13.294634819030762 + ], + [ + "▁aplicatii", + -13.294644355773926 + ], + [ + "▁verhindert", + -13.294794082641602 + ], + [ + "▁évident", + -13.294794082641602 + ], + [ + "▁getrennt", + -13.294795036315918 + ], + [ + "▁Encourage", + -13.295403480529785 + ], + [ + "▁lurk", + -13.295432090759277 + ], + [ + "▁condemned", + -13.295455932617188 + ], + [ + "▁4:30", + -13.295502662658691 + ], + [ + "labelled", + -13.29576587677002 + ], + [ + "ordinea", + -13.295899391174316 + ], + [ + "▁pantofi", + -13.296012878417969 + ], + [ + "Default", + -13.296042442321777 + ], + [ + "▁beruh", + -13.296120643615723 + ], + [ + "/01/", + -13.296268463134766 + ], + [ + "league", + -13.296503067016602 + ], + [ + "▁couvert", + -13.296524047851562 + ], + [ + "▁competencies", + -13.296622276306152 + ], + [ + "▁mozzarella", + -13.296622276306152 + ], + [ + "jihad", + -13.29662799835205 + ], + [ + "▁gossip", + -13.29662799835205 + ], + [ + "▁Omaha", + -13.296628952026367 + ], + [ + "▁coincidence", + -13.296669960021973 + ], + [ + "▁Pinot", + -13.296710968017578 + ], + [ + "dotted", + -13.296789169311523 + ], + [ + "schilder", + -13.297197341918945 + ], + [ + "▁Munte", + -13.297224998474121 + ], + [ + "▁Vermieter", + -13.297232627868652 + ], + [ + "▁britannique", + -13.297232627868652 + ], + [ + "▁comentariu", + -13.297235488891602 + ], + [ + "abonnement", + -13.29725456237793 + ], + [ + "▁inventive", + -13.29727840423584 + ], + [ + "complie", + -13.297279357910156 + ], + [ + "composée", + -13.29734992980957 + ], + [ + "▁glatt", + -13.297684669494629 + ], + [ + "adorned", + -13.297842979431152 + ], + [ + "▁Opportunities", + -13.297842979431152 + ], + [ + "▁equilibrium", + -13.297842979431152 + ], + [ + "▁persuasive", + -13.297842979431152 + ], + [ + "▁achiziţi", + -13.297843933105469 + ], + [ + "▁déterminer", + -13.297843933105469 + ], + [ + "▁fleece", + -13.297857284545898 + ], + [ + "▁ivory", + -13.29786205291748 + ], + [ + "▁Genuss", + -13.297900199890137 + ], + [ + "Thousands", + -13.297930717468262 + ], + [ + "▁izolat", + -13.297965049743652 + ], + [ + "▁symbolize", + -13.298033714294434 + ], + [ + "gâteau", + -13.298051834106445 + ], + [ + "▁relații", + -13.298062324523926 + ], + [ + "▁Classroom", + -13.298144340515137 + ], + [ + "settlers", + -13.298155784606934 + ], + [ + "▁vremuri", + -13.298195838928223 + ], + [ + "▁Serial", + -13.29838752746582 + ], + [ + "▁boite", + -13.298399925231934 + ], + [ + "équivalent", + -13.298453330993652 + ], + [ + "▁benutzen", + -13.298454284667969 + ], + [ + "▁Recomand", + -13.298462867736816 + ], + [ + "▁Sinai", + -13.298968315124512 + ], + [ + "▁Advertise", + -13.29906940460205 + ], + [ + "▁Thermal", + -13.299206733703613 + ], + [ + "fiance", + -13.299471855163574 + ], + [ + "▁universitaire", + -13.299683570861816 + ], + [ + "▁rivière", + -13.299793243408203 + ], + [ + "▁reimburse", + -13.299907684326172 + ], + [ + "ţara", + -13.299932479858398 + ], + [ + "tician", + -13.30002498626709 + ], + [ + "intelligence", + -13.300041198730469 + ], + [ + "▁abgestimmt", + -13.300288200378418 + ], + [ + "▁compliqué", + -13.300288200378418 + ], + [ + "▁succulent", + -13.300297737121582 + ], + [ + "opéra", + -13.300395011901855 + ], + [ + "7-9", + -13.300456047058105 + ], + [ + "▁pierderi", + -13.300654411315918 + ], + [ + "extinction", + -13.30090045928955 + ], + [ + "▁Zweifel", + -13.30103874206543 + ], + [ + "ATCH", + -13.30112361907959 + ], + [ + "10,000", + -13.301222801208496 + ], + [ + "▁uninterrupted", + -13.301513671875 + ], + [ + "▁Eigentum", + -13.301517486572266 + ], + [ + "▁Utility", + -13.301517486572266 + ], + [ + "ско", + -13.301529884338379 + ], + [ + "▁tornado", + -13.301544189453125 + ], + [ + "▁Güte", + -13.301727294921875 + ], + [ + "▁pertain", + -13.301923751831055 + ], + [ + "painters", + -13.301993370056152 + ], + [ + "Help", + -13.3021240234375 + ], + [ + "▁străinătate", + -13.30212688446045 + ], + [ + "▁stammen", + -13.302170753479004 + ], + [ + "opposition", + -13.302229881286621 + ], + [ + "▁rhino", + -13.302233695983887 + ], + [ + "intervenir", + -13.302427291870117 + ], + [ + "▁hyperlink", + -13.302441596984863 + ], + [ + "höchst", + -13.302518844604492 + ], + [ + "roach", + -13.302627563476562 + ], + [ + "wSt", + -13.302687644958496 + ], + [ + "▁monastery", + -13.302740097045898 + ], + [ + "▁algae", + -13.302754402160645 + ], + [ + "▁shaving", + -13.302757263183594 + ], + [ + "présentent", + -13.302804946899414 + ], + [ + "Africa", + -13.302860260009766 + ], + [ + "eigener", + -13.303047180175781 + ], + [ + "▁glace", + -13.303153991699219 + ], + [ + "▁discurs", + -13.303179740905762 + ], + [ + "▁autograph", + -13.303204536437988 + ], + [ + "▁Conflict", + -13.303359031677246 + ], + [ + "▁școli", + -13.303411483764648 + ], + [ + "▁excerpt", + -13.303617477416992 + ], + [ + "correlated", + -13.303628921508789 + ], + [ + "empel", + -13.303841590881348 + ], + [ + "cryptocurrencies", + -13.30396842956543 + ], + [ + "▁symposium", + -13.30396842956543 + ], + [ + "▁gewohnt", + -13.303994178771973 + ], + [ + "PTSD", + -13.304070472717285 + ], + [ + "▁harmonic", + -13.304166793823242 + ], + [ + "discarded", + -13.304282188415527 + ], + [ + "▁Flint", + -13.304359436035156 + ], + [ + "Russia", + -13.304422378540039 + ], + [ + "▁ședinț", + -13.304583549499512 + ], + [ + "▁accusations", + -13.304727554321289 + ], + [ + "▁încălc", + -13.304827690124512 + ], + [ + "sendung", + -13.305152893066406 + ], + [ + "▁Chiropractic", + -13.305197715759277 + ], + [ + "▁excepți", + -13.305201530456543 + ], + [ + "▁proclaim", + -13.305201530456543 + ], + [ + "▁Flexible", + -13.305295944213867 + ], + [ + "▁Hüt", + -13.30538272857666 + ], + [ + "▁Baltic", + -13.30539608001709 + ], + [ + "▁inaltime", + -13.30553913116455 + ], + [ + "▁montré", + -13.305868148803711 + ], + [ + "exécution", + -13.305898666381836 + ], + [ + "partei", + -13.305961608886719 + ], + [ + "▁specifie", + -13.306072235107422 + ], + [ + "▁Jackpot", + -13.306105613708496 + ], + [ + "▁stumble", + -13.306134223937988 + ], + [ + "▁individuel", + -13.306161880493164 + ], + [ + "▁Veteran", + -13.306217193603516 + ], + [ + "▁Supplies", + -13.306428909301758 + ], + [ + "▁excavation", + -13.306428909301758 + ], + [ + "▁Libraries", + -13.306469917297363 + ], + [ + "▁prénom", + -13.306476593017578 + ], + [ + "WOOD", + -13.30650806427002 + ], + [ + "meciul", + -13.306917190551758 + ], + [ + "Chef", + -13.306938171386719 + ], + [ + "▁SUPER", + -13.306940078735352 + ], + [ + "Appeals", + -13.30696964263916 + ], + [ + "terapia", + -13.307113647460938 + ], + [ + "▁relatii", + -13.30713939666748 + ], + [ + "modifying", + -13.30748462677002 + ], + [ + "▁Regulament", + -13.307662010192871 + ], + [ + "▁bănci", + -13.307662963867188 + ], + [ + "▁agility", + -13.307666778564453 + ], + [ + "▁Magnetic", + -13.307674407958984 + ], + [ + "▁piatra", + -13.30767822265625 + ], + [ + "▁Governance", + -13.307680130004883 + ], + [ + "▁clown", + -13.30772876739502 + ], + [ + "▁Choir", + -13.308337211608887 + ], + [ + "aujourd", + -13.308548927307129 + ], + [ + "▁vendeur", + -13.308732032775879 + ], + [ + "ndererseits", + -13.308859825134277 + ], + [ + "▁Bahrain", + -13.3088960647583 + ], + [ + "▁Timisoara", + -13.3088960647583 + ], + [ + "▁exklusive", + -13.3088960647583 + ], + [ + "▁Population", + -13.309001922607422 + ], + [ + "▁nepo", + -13.309073448181152 + ], + [ + "▁relish", + -13.309085845947266 + ], + [ + "▁Pumpkin", + -13.309571266174316 + ], + [ + "▁détente", + -13.309784889221191 + ], + [ + "▁episcop", + -13.309860229492188 + ], + [ + "patterned", + -13.309929847717285 + ], + [ + "▁THANK", + -13.310132026672363 + ], + [ + "▁Widerspruch", + -13.310132026672363 + ], + [ + "▁Crisis", + -13.310189247131348 + ], + [ + "▁goose", + -13.310226440429688 + ], + [ + "▁couture", + -13.310307502746582 + ], + [ + "▁hinweg", + -13.310446739196777 + ], + [ + "supplemental", + -13.310486793518066 + ], + [ + "shingles", + -13.31060791015625 + ], + [ + "investir", + -13.310635566711426 + ], + [ + "▁steriliz", + -13.310759544372559 + ], + [ + "tractors", + -13.310761451721191 + ], + [ + "cellules", + -13.31078815460205 + ], + [ + "▁Gloria", + -13.310888290405273 + ], + [ + "▁teilnehmen", + -13.311092376708984 + ], + [ + "companiile", + -13.311248779296875 + ], + [ + "surfacing", + -13.311279296875 + ], + [ + "▁nostalgic", + -13.311368942260742 + ], + [ + "▁Badezimmer", + -13.311369895935059 + ], + [ + "▁conjoint", + -13.311370849609375 + ], + [ + "vacancy", + -13.31145191192627 + ], + [ + "▁homeland", + -13.311582565307617 + ], + [ + "▁Abschnitt", + -13.311625480651855 + ], + [ + "Cartea", + -13.311653137207031 + ], + [ + "SIA", + -13.311782836914062 + ], + [ + "▁explode", + -13.311786651611328 + ], + [ + "fostering", + -13.311959266662598 + ], + [ + "▁ceilalti", + -13.31198787689209 + ], + [ + "▁gentil", + -13.31214714050293 + ], + [ + "oplasty", + -13.31218433380127 + ], + [ + "bodied", + -13.312424659729004 + ], + [ + "▁1906", + -13.312499046325684 + ], + [ + "▁BlackBerry", + -13.312607765197754 + ], + [ + "▁Presbyterian", + -13.312607765197754 + ], + [ + "▁berücksichtigt", + -13.312607765197754 + ], + [ + "▁compartiment", + -13.312607765197754 + ], + [ + "▁compulsory", + -13.312607765197754 + ], + [ + "Millennial", + -13.312609672546387 + ], + [ + "▁sanitar", + -13.312638282775879 + ], + [ + "▁stink", + -13.312975883483887 + ], + [ + "lius", + -13.313047409057617 + ], + [ + "thankfully", + -13.313136100769043 + ], + [ + "modalité", + -13.313173294067383 + ], + [ + "▁cunoaște", + -13.313226699829102 + ], + [ + "Infrastruktur", + -13.313227653503418 + ], + [ + "▁studenți", + -13.313253402709961 + ], + [ + "Bref", + -13.313270568847656 + ], + [ + "London", + -13.31360149383545 + ], + [ + "▁Arduino", + -13.313847541809082 + ], + [ + "▁cilantro", + -13.313847541809082 + ], + [ + "▁Rafael", + -13.313848495483398 + ], + [ + "▁untersucht", + -13.313861846923828 + ], + [ + "▁martyr", + -13.31389331817627 + ], + [ + "▁Mormon", + -13.313984870910645 + ], + [ + "▁wicket", + -13.313996315002441 + ], + [ + "cherished", + -13.314335823059082 + ], + [ + "liquid", + -13.314417839050293 + ], + [ + "▁dorinț", + -13.314571380615234 + ], + [ + "lehnt", + -13.314717292785645 + ], + [ + "meisterschaft", + -13.31493091583252 + ], + [ + "fondateur", + -13.314971923828125 + ], + [ + "câble", + -13.315078735351562 + ], + [ + "▁erreichbar", + -13.315091133117676 + ], + [ + "▁footsteps", + -13.315094947814941 + ], + [ + "▁Kloster", + -13.31519889831543 + ], + [ + "▁multiplayer", + -13.315218925476074 + ], + [ + "▁substitu", + -13.315276145935059 + ], + [ + "▁Frisch", + -13.315526962280273 + ], + [ + "▁arsenal", + -13.315712928771973 + ], + [ + "explication", + -13.315866470336914 + ], + [ + "▁conexiun", + -13.315986633300781 + ], + [ + "muddy", + -13.316045761108398 + ], + [ + "▁Reifen", + -13.316120147705078 + ], + [ + "auraient", + -13.316132545471191 + ], + [ + "▁biologic", + -13.316136360168457 + ], + [ + "▁acquainted", + -13.316332817077637 + ], + [ + "▁shelving", + -13.316341400146484 + ], + [ + "Stunning", + -13.316373825073242 + ], + [ + "▁Clothing", + -13.316394805908203 + ], + [ + "▁kidding", + -13.316431999206543 + ], + [ + "excellent", + -13.316452026367188 + ], + [ + "▁susțin", + -13.316487312316895 + ], + [ + "bătut", + -13.316502571105957 + ], + [ + "elusive", + -13.3165283203125 + ], + [ + "werbung", + -13.316743850708008 + ], + [ + "slipping", + -13.316813468933105 + ], + [ + "▁configura", + -13.316926956176758 + ], + [ + "▁proaspat", + -13.31695556640625 + ], + [ + "▁apporté", + -13.317120552062988 + ], + [ + "▁démarr", + -13.317328453063965 + ], + [ + "Spezialist", + -13.317578315734863 + ], + [ + "▁obligați", + -13.317578315734863 + ], + [ + "▁societăți", + -13.317578315734863 + ], + [ + "▁malpractice", + -13.31757926940918 + ], + [ + "Hundreds", + -13.317609786987305 + ], + [ + "▁3:1", + -13.318138122558594 + ], + [ + "▁computation", + -13.31817626953125 + ], + [ + "▁Heilig", + -13.318528175354004 + ], + [ + "▁Helsinki", + -13.318824768066406 + ], + [ + "▁firefighters", + -13.318824768066406 + ], + [ + "▁obedience", + -13.318824768066406 + ], + [ + "▁evacuate", + -13.318825721740723 + ], + [ + "▁Floyd", + -13.318840026855469 + ], + [ + "▁Disneyland", + -13.318859100341797 + ], + [ + "Cathy", + -13.319069862365723 + ], + [ + "▁Broken", + -13.319278717041016 + ], + [ + "cript", + -13.319952011108398 + ], + [ + "▁Gewähr", + -13.320073127746582 + ], + [ + "▁embarrassed", + -13.320073127746582 + ], + [ + "▁Leicht", + -13.32007884979248 + ], + [ + "▁témoign", + -13.320379257202148 + ], + [ + "▁viteze", + -13.3206148147583 + ], + [ + "▁hallmark", + -13.320731163024902 + ], + [ + "uploads", + -13.32082462310791 + ], + [ + "▁Submission", + -13.320929527282715 + ], + [ + "▁croissant", + -13.321049690246582 + ], + [ + "awning", + -13.32105827331543 + ], + [ + "detecting", + -13.321198463439941 + ], + [ + "▁Bahamas", + -13.321322441101074 + ], + [ + "▁Kathleen", + -13.321325302124023 + ], + [ + "▁latch", + -13.321377754211426 + ], + [ + "▁pronounce", + -13.321380615234375 + ], + [ + "▁choke", + -13.321428298950195 + ], + [ + "▁$50,000", + -13.3215970993042 + ], + [ + "▁historische", + -13.321642875671387 + ], + [ + "jugé", + -13.321829795837402 + ], + [ + "▁MasterCard", + -13.321949005126953 + ], + [ + "▁Horror", + -13.321955680847168 + ], + [ + "spoiled", + -13.321958541870117 + ], + [ + "▁apariți", + -13.32202434539795 + ], + [ + "geschaltet", + -13.3225736618042 + ], + [ + "▁Londra", + -13.322578430175781 + ], + [ + "viction", + -13.322580337524414 + ], + [ + "▁Disaster", + -13.322593688964844 + ], + [ + "▁desigur", + -13.322601318359375 + ], + [ + "▁substanț", + -13.322601318359375 + ], + [ + "▁compiler", + -13.322613716125488 + ], + [ + "▁vanzari", + -13.32262897491455 + ], + [ + "▁Simulation", + -13.322669982910156 + ], + [ + "Occasionally", + -13.322842597961426 + ], + [ + "Seite", + -13.322884559631348 + ], + [ + "Linked", + -13.322938919067383 + ], + [ + "Roll", + -13.323015213012695 + ], + [ + "▁trajet", + -13.323244094848633 + ], + [ + "Molecular", + -13.323834419250488 + ], + [ + "▁pragmatic", + -13.323843002319336 + ], + [ + "judecată", + -13.323915481567383 + ], + [ + "ров", + -13.32400894165039 + ], + [ + "serrurerie", + -13.324024200439453 + ], + [ + "▁reconstruct", + -13.324129104614258 + ], + [ + "▁heureuse", + -13.324179649353027 + ], + [ + "▁knight", + -13.32422924041748 + ], + [ + "knowingly", + -13.324431419372559 + ], + [ + "▁perspectiva", + -13.324453353881836 + ], + [ + "ordinary", + -13.324604034423828 + ], + [ + "▁chaudière", + -13.324721336364746 + ], + [ + "Neill", + -13.324727058410645 + ], + [ + "cellulose", + -13.325080871582031 + ], + [ + "▁Delicious", + -13.325080871582031 + ], + [ + "▁incearca", + -13.325080871582031 + ], + [ + "▁retrospective", + -13.325080871582031 + ], + [ + "▁mundane", + -13.325081825256348 + ], + [ + "▁definiert", + -13.32508659362793 + ], + [ + "▁cockpit", + -13.325088500976562 + ], + [ + "Aktionen", + -13.325363159179688 + ], + [ + "▁distanț", + -13.325654029846191 + ], + [ + "▁diplôme", + -13.325708389282227 + ], + [ + "prepaid", + -13.325737953186035 + ], + [ + "▁Tabellen", + -13.325758934020996 + ], + [ + "▁economie", + -13.325770378112793 + ], + [ + "December", + -13.325826644897461 + ], + [ + "Punkten", + -13.32613754272461 + ], + [ + "▁Punch", + -13.32614517211914 + ], + [ + "Martin", + -13.326154708862305 + ], + [ + "▁Espresso", + -13.326314926147461 + ], + [ + "▁ubiquitous", + -13.326335906982422 + ], + [ + "▁Mongolia", + -13.326337814331055 + ], + [ + "▁collabor", + -13.326635360717773 + ], + [ + "▁Vordergrund", + -13.32696533203125 + ], + [ + "cameră", + -13.327091217041016 + ], + [ + "represented", + -13.327268600463867 + ], + [ + "▁AUTO", + -13.327446937561035 + ], + [ + "▁Ofert", + -13.327542304992676 + ], + [ + "neig", + -13.327593803405762 + ], + [ + "▁Hazard", + -13.327595710754395 + ], + [ + "▁Constanta", + -13.327596664428711 + ], + [ + "▁tumour", + -13.32759952545166 + ], + [ + "▁Neighborhood", + -13.327603340148926 + ], + [ + "▁detaliat", + -13.327619552612305 + ], + [ + "▁extraordinaire", + -13.327665328979492 + ], + [ + "▁Therapeutic", + -13.327686309814453 + ], + [ + "predicting", + -13.327693939208984 + ], + [ + "▁institutii", + -13.32776165008545 + ], + [ + "ifizierung", + -13.327797889709473 + ], + [ + "wählt", + -13.328207015991211 + ], + [ + "▁remarquable", + -13.32822322845459 + ], + [ + "Invent", + -13.328512191772461 + ], + [ + "▁foloseșt", + -13.328514099121094 + ], + [ + "öfte", + -13.328703880310059 + ], + [ + "▁discreet", + -13.328853607177734 + ], + [ + "▁Flickr", + -13.32885456085205 + ], + [ + "▁trésor", + -13.328856468200684 + ], + [ + "▁steroids", + -13.328872680664062 + ], + [ + "▁personnalité", + -13.328953742980957 + ], + [ + "▁Krankenhaus", + -13.32901668548584 + ], + [ + "▁affordability", + -13.329218864440918 + ], + [ + "deuten", + -13.329398155212402 + ], + [ + "Detailed", + -13.329412460327148 + ], + [ + "Walk", + -13.329444885253906 + ], + [ + "▁parallèle", + -13.329483032226562 + ], + [ + "thèse", + -13.329649925231934 + ], + [ + "▁gefördert", + -13.330117225646973 + ], + [ + "Greeting", + -13.33014965057373 + ], + [ + "gelistet", + -13.330172538757324 + ], + [ + "▁chlorine", + -13.330392837524414 + ], + [ + "behält", + -13.33039665222168 + ], + [ + "emption", + -13.330435752868652 + ], + [ + "▁mobilité", + -13.330601692199707 + ], + [ + "▁randonnée", + -13.330668449401855 + ], + [ + "habitant", + -13.330718040466309 + ], + [ + "zilla", + -13.331082344055176 + ], + [ + "▁Lili", + -13.331160545349121 + ], + [ + "▁répét", + -13.331341743469238 + ], + [ + "trucât", + -13.331376075744629 + ], + [ + "▁Hospice", + -13.331376075744629 + ], + [ + "▁grassroots", + -13.331377029418945 + ], + [ + "▁affiché", + -13.331393241882324 + ], + [ + "pears", + -13.331470489501953 + ], + [ + "▁linistit", + -13.331497192382812 + ], + [ + "▁Patron", + -13.331552505493164 + ], + [ + "▁Stalin", + -13.331626892089844 + ], + [ + "▁închiri", + -13.331751823425293 + ], + [ + "▁Apostol", + -13.332018852233887 + ], + [ + "▁poudre", + -13.332246780395508 + ], + [ + "▁piscin", + -13.332419395446777 + ], + [ + "merlin", + -13.33259391784668 + ], + [ + "limited", + -13.33260726928711 + ], + [ + "▁métallique", + -13.332639694213867 + ], + [ + "gazebo", + -13.33267879486084 + ], + [ + "weilige", + -13.332718849182129 + ], + [ + "prosecutors", + -13.33278751373291 + ], + [ + "Expert", + -13.33314323425293 + ], + [ + "Assemblée", + -13.333271980285645 + ], + [ + "▁fauna", + -13.333285331726074 + ], + [ + "▁Turtle", + -13.333353996276855 + ], + [ + "▁Consortium", + -13.333905220031738 + ], + [ + "▁assemblies", + -13.333905220031738 + ], + [ + "▁trajectory", + -13.333905220031738 + ], + [ + "▁Vineyard", + -13.333906173706055 + ], + [ + "▁Mehrwert", + -13.334037780761719 + ], + [ + "▁sunflower", + -13.334043502807617 + ], + [ + "develop", + -13.334060668945312 + ], + [ + "▁heroic", + -13.334100723266602 + ], + [ + "▁riscuri", + -13.334151268005371 + ], + [ + "oeuf", + -13.334300994873047 + ], + [ + "influence", + -13.334452629089355 + ], + [ + "▁Voraussetzung", + -13.334500312805176 + ], + [ + "utoritatea", + -13.334518432617188 + ], + [ + "Produsul", + -13.334654808044434 + ], + [ + "▁gewährleistet", + -13.335171699523926 + ], + [ + "▁brûl", + -13.335175514221191 + ], + [ + "▁Column", + -13.335184097290039 + ], + [ + "▁trousers", + -13.335209846496582 + ], + [ + "▁posterior", + -13.33521556854248 + ], + [ + "glyph", + -13.335251808166504 + ], + [ + "▁Happen", + -13.335280418395996 + ], + [ + "▁créateur", + -13.335667610168457 + ], + [ + "▁apostle", + -13.335898399353027 + ], + [ + "▁padding", + -13.335907936096191 + ], + [ + "▁Digitalisierung", + -13.335908889770508 + ], + [ + "▁Laurie", + -13.335915565490723 + ], + [ + "▁Erwerb", + -13.336065292358398 + ], + [ + "▁bătrân", + -13.336440086364746 + ], + [ + "▁harmonious", + -13.336441040039062 + ], + [ + "▁ailments", + -13.336456298828125 + ], + [ + "▁Venue", + -13.33650016784668 + ], + [ + "▁Motorcycle", + -13.336523056030273 + ], + [ + "▁cortex", + -13.336551666259766 + ], + [ + "▁Sunrise", + -13.336636543273926 + ], + [ + "Software", + -13.336775779724121 + ], + [ + "▁advocat", + -13.336934089660645 + ], + [ + "essentiellement", + -13.337422370910645 + ], + [ + "•", + -13.337494850158691 + ], + [ + "părut", + -13.337522506713867 + ], + [ + "▁Suffolk", + -13.337711334228516 + ], + [ + "▁righteousness", + -13.337711334228516 + ], + [ + "▁Shirley", + -13.337712287902832 + ], + [ + "▁Famous", + -13.337749481201172 + ], + [ + "▁emulate", + -13.337788581848145 + ], + [ + "vermögen", + -13.33788776397705 + ], + [ + "generated", + -13.337963104248047 + ], + [ + "Ecole", + -13.337977409362793 + ], + [ + "▁managerial", + -13.338086128234863 + ], + [ + "believe", + -13.338091850280762 + ], + [ + "▁récupére", + -13.338348388671875 + ], + [ + "▁recens", + -13.338531494140625 + ], + [ + "▁Barrett", + -13.338778495788574 + ], + [ + "▁courageous", + -13.338814735412598 + ], + [ + "9.95", + -13.338961601257324 + ], + [ + "▁Odyssey", + -13.338982582092285 + ], + [ + "▁Violence", + -13.338982582092285 + ], + [ + "▁concasseur", + -13.338982582092285 + ], + [ + "▁evacuation", + -13.338982582092285 + ], + [ + "▁kontinuierlich", + -13.338982582092285 + ], + [ + "▁epidemi", + -13.3389892578125 + ], + [ + "▁disconnected", + -13.339197158813477 + ], + [ + "frucht", + -13.339339256286621 + ], + [ + "Trustees", + -13.339348793029785 + ], + [ + "▁Massiv", + -13.339459419250488 + ], + [ + "gebucht", + -13.339473724365234 + ], + [ + "stütze", + -13.339526176452637 + ], + [ + "▁febr", + -13.339741706848145 + ], + [ + "honoured", + -13.339743614196777 + ], + [ + "▁digitiz", + -13.340079307556152 + ], + [ + "Image", + -13.34021282196045 + ], + [ + "▁Brunswick", + -13.34025764465332 + ], + [ + "▁Therapist", + -13.34026050567627 + ], + [ + "accessoire", + -13.340264320373535 + ], + [ + "▁croqu", + -13.340291023254395 + ], + [ + "Pflanz", + -13.34052848815918 + ], + [ + "dragging", + -13.340536117553711 + ], + [ + "▁Facilit", + -13.340750694274902 + ], + [ + "soucis", + -13.340765953063965 + ], + [ + "Asadar", + -13.34081745147705 + ], + [ + "▁Thames", + -13.341021537780762 + ], + [ + "▁cariera", + -13.341116905212402 + ], + [ + "▁mercury", + -13.341530799865723 + ], + [ + "▁Blessed", + -13.341533660888672 + ], + [ + "▁Whitney", + -13.341630935668945 + ], + [ + "▁géant", + -13.341926574707031 + ], + [ + "▁coordonnée", + -13.342217445373535 + ], + [ + "oidal", + -13.342623710632324 + ], + [ + "Wohnungen", + -13.342696189880371 + ], + [ + "▁Spectrum", + -13.34280776977539 + ], + [ + "▁Avengers", + -13.342808723449707 + ], + [ + "▁Gloucester", + -13.342808723449707 + ], + [ + "▁nützlich", + -13.342811584472656 + ], + [ + "▁toothbrush", + -13.342830657958984 + ], + [ + "▁Vanessa", + -13.342843055725098 + ], + [ + "Saxon", + -13.342947959899902 + ], + [ + "▁comunități", + -13.343165397644043 + ], + [ + "reprezentanţi", + -13.343175888061523 + ], + [ + "▁întâlnire", + -13.343225479125977 + ], + [ + "delve", + -13.343234062194824 + ], + [ + "▁technologique", + -13.343452453613281 + ], + [ + "Describe", + -13.343466758728027 + ], + [ + "▁constient", + -13.343501091003418 + ], + [ + "gestalt", + -13.343600273132324 + ], + [ + "▁Tribune", + -13.344090461730957 + ], + [ + "▁fiberglass", + -13.34412956237793 + ], + [ + "verbindung", + -13.344210624694824 + ], + [ + "sacrificing", + -13.344351768493652 + ], + [ + "▁Pablo", + -13.344470024108887 + ], + [ + "▁adanc", + -13.34525203704834 + ], + [ + "omia", + -13.345309257507324 + ], + [ + "hâte", + -13.345317840576172 + ], + [ + "▁Sanctuary", + -13.345366477966309 + ], + [ + "▁accolade", + -13.345368385314941 + ], + [ + "▁Wurzel", + -13.345398902893066 + ], + [ + "▁spacing", + -13.345433235168457 + ], + [ + "▁bedeutend", + -13.345481872558594 + ], + [ + "▁biased", + -13.345499992370605 + ], + [ + "randomized", + -13.345747947692871 + ], + [ + "▁agenți", + -13.345856666564941 + ], + [ + "▁excepţi", + -13.346012115478516 + ], + [ + "▁fișier", + -13.346028327941895 + ], + [ + "▁fisier", + -13.34664535522461 + ], + [ + "irrespective", + -13.346648216247559 + ], + [ + "▁Gardner", + -13.34665584564209 + ], + [ + "▁aprecia", + -13.346884727478027 + ], + [ + "▁Klu", + -13.347082138061523 + ], + [ + "▁apropie", + -13.347535133361816 + ], + [ + "▁echival", + -13.347784042358398 + ], + [ + "tauchen", + -13.347862243652344 + ], + [ + "▁hauptsächlich", + -13.347930908203125 + ], + [ + "▁pollutants", + -13.347930908203125 + ], + [ + "▁mammals", + -13.347931861877441 + ], + [ + "▁Landwirtschaft", + -13.347936630249023 + ], + [ + "▁stăpân", + -13.34793758392334 + ], + [ + "▁Prüf", + -13.347990989685059 + ], + [ + "▁Motorsport", + -13.34807300567627 + ], + [ + "Leaving", + -13.348352432250977 + ], + [ + "schädigung", + -13.348573684692383 + ], + [ + "▁calendrier", + -13.348573684692383 + ], + [ + "plikation", + -13.348655700683594 + ], + [ + "▁DOE", + -13.348655700683594 + ], + [ + "ред", + -13.348966598510742 + ], + [ + "Jahr", + -13.34913444519043 + ], + [ + "▁entitlement", + -13.34921646118164 + ], + [ + "schuldig", + -13.349217414855957 + ], + [ + "▁Münster", + -13.349218368530273 + ], + [ + "pository", + -13.349451065063477 + ], + [ + "▁numero", + -13.350220680236816 + ], + [ + "▁entsprechen", + -13.350383758544922 + ], + [ + "▁astronaut", + -13.350502967834473 + ], + [ + "▁hexagon", + -13.350502967834473 + ], + [ + "▁DAMAGE", + -13.350503921508789 + ], + [ + "▁Quartz", + -13.350504875183105 + ], + [ + "▁rédaction", + -13.350504875183105 + ], + [ + "▁replenish", + -13.350508689880371 + ], + [ + "▁amoureux", + -13.350523948669434 + ], + [ + "▁opțiun", + -13.350616455078125 + ], + [ + "Custom", + -13.350622177124023 + ], + [ + "▁Telekom", + -13.350639343261719 + ], + [ + "▁RFID", + -13.351163864135742 + ], + [ + "▁Scorpio", + -13.351264953613281 + ], + [ + "▁thirst", + -13.35152816772461 + ], + [ + "▁Kosovo", + -13.351791381835938 + ], + [ + "▁precursor", + -13.351794242858887 + ], + [ + "▁sarbatori", + -13.351810455322266 + ], + [ + "▁Daisy", + -13.351828575134277 + ], + [ + "▁Dropbox", + -13.351898193359375 + ], + [ + "Smith", + -13.351949691772461 + ], + [ + "contabil", + -13.352191925048828 + ], + [ + "▁monnaie", + -13.352437973022461 + ], + [ + "capsul", + -13.352577209472656 + ], + [ + "treff", + -13.352760314941406 + ], + [ + "beauftragte", + -13.352761268615723 + ], + [ + "industrial", + -13.353006362915039 + ], + [ + "responsables", + -13.353010177612305 + ], + [ + "▁FIRST", + -13.353080749511719 + ], + [ + "▁crezut", + -13.35308837890625 + ], + [ + "▁reseller", + -13.353107452392578 + ], + [ + "▁direcți", + -13.353154182434082 + ], + [ + "mouvoir", + -13.353294372558594 + ], + [ + "▁Invite", + -13.353431701660156 + ], + [ + "▁constructii", + -13.353440284729004 + ], + [ + "▁oublié", + -13.353577613830566 + ], + [ + "găseșt", + -13.353687286376953 + ], + [ + "▁végét", + -13.353755950927734 + ], + [ + "idine", + -13.35385799407959 + ], + [ + "▁Ajout", + -13.353951454162598 + ], + [ + "▁Shelf", + -13.354195594787598 + ], + [ + "HALL", + -13.35422420501709 + ], + [ + "▁nostalgia", + -13.35437297821045 + ], + [ + "▁ottoman", + -13.35437297821045 + ], + [ + "▁ambalaj", + -13.354398727416992 + ], + [ + "municipiul", + -13.354405403137207 + ], + [ + "NOVA", + -13.354500770568848 + ], + [ + "▁disregard", + -13.354997634887695 + ], + [ + "▁bijuterii", + -13.355018615722656 + ], + [ + "▁sorgfältig", + -13.355018615722656 + ], + [ + "vraient", + -13.355307579040527 + ], + [ + "▁backsplash", + -13.355669975280762 + ], + [ + "▁nuisance", + -13.355679512023926 + ], + [ + "▁Territory", + -13.35568618774414 + ], + [ + "▁surprins", + -13.355693817138672 + ], + [ + "enchanting", + -13.35571002960205 + ], + [ + "trospecti", + -13.355847358703613 + ], + [ + "▁dvd", + -13.356199264526367 + ], + [ + "Totally", + -13.356329917907715 + ], + [ + "▁Edelstahl", + -13.35696029663086 + ], + [ + "▁sequencing", + -13.356961250305176 + ], + [ + "▁Circus", + -13.35696792602539 + ], + [ + "▁ashamed", + -13.35696792602539 + ], + [ + "▁horrific", + -13.357028007507324 + ], + [ + "▁taiat", + -13.357033729553223 + ], + [ + "▁Angehörige", + -13.357125282287598 + ], + [ + "Michel", + -13.357256889343262 + ], + [ + "▁communion", + -13.357298851013184 + ], + [ + "▁psiho", + -13.357378959655762 + ], + [ + "losigkeit", + -13.357405662536621 + ], + [ + "dipping", + -13.357512474060059 + ], + [ + "▁profesională", + -13.357608795166016 + ], + [ + "Indiferent", + -13.357609748840332 + ], + [ + "▁crestin", + -13.357723236083984 + ], + [ + "wholesome", + -13.357796669006348 + ], + [ + "▁Welfare", + -13.358257293701172 + ], + [ + "▁plentiful", + -13.358257293701172 + ], + [ + "▁Triumph", + -13.358258247375488 + ], + [ + "▁fascination", + -13.358260154724121 + ], + [ + "▁vicious", + -13.358291625976562 + ], + [ + "▁Höchst", + -13.358294486999512 + ], + [ + "▁Dunkel", + -13.358386039733887 + ], + [ + "▁harass", + -13.358406066894531 + ], + [ + "ambogia", + -13.358475685119629 + ], + [ + "▁synonymous", + -13.358598709106445 + ], + [ + "bottom", + -13.35879898071289 + ], + [ + "▁bénévole", + -13.358906745910645 + ], + [ + "▁suprafaț", + -13.358906745910645 + ], + [ + "▁umplut", + -13.358997344970703 + ], + [ + "▁Teddy", + -13.359162330627441 + ], + [ + "breathable", + -13.359292984008789 + ], + [ + "▁Toshiba", + -13.3595552444458 + ], + [ + "▁seismic", + -13.359569549560547 + ], + [ + "▁dringend", + -13.359583854675293 + ], + [ + "▁cultură", + -13.359585762023926 + ], + [ + "▁Waffen", + -13.359665870666504 + ], + [ + "▁Bubble", + -13.359702110290527 + ], + [ + "▁Brigade", + -13.359759330749512 + ], + [ + "▁Blatt", + -13.36012077331543 + ], + [ + "▁scénario", + -13.36020565032959 + ], + [ + "allah", + -13.360396385192871 + ], + [ + "▁superintendent", + -13.360855102539062 + ], + [ + "pflanzen", + -13.360856056213379 + ], + [ + "▁kurzfristig", + -13.360856056213379 + ], + [ + "▁raspberry", + -13.360876083374023 + ], + [ + "▁Evident", + -13.360904693603516 + ], + [ + "▁inutile", + -13.361076354980469 + ], + [ + "prouvé", + -13.361104011535645 + ], + [ + "▁obtien", + -13.36141300201416 + ], + [ + "▁Matthias", + -13.361506462097168 + ], + [ + "▁déclench", + -13.361506462097168 + ], + [ + "Situationen", + -13.361529350280762 + ], + [ + "▁Disclaimer", + -13.362156867980957 + ], + [ + "▁loneliness", + -13.362156867980957 + ], + [ + "▁Gothic", + -13.362164497375488 + ], + [ + "▁humility", + -13.362165451049805 + ], + [ + "▁machiaj", + -13.362175941467285 + ], + [ + "▁Sophia", + -13.362178802490234 + ], + [ + "▁Forecast", + -13.362265586853027 + ], + [ + "IBLE", + -13.362456321716309 + ], + [ + "ivism", + -13.362480163574219 + ], + [ + "israel", + -13.36278247833252 + ], + [ + "▁kümmern", + -13.362809181213379 + ], + [ + "▁verbreitet", + -13.362825393676758 + ], + [ + "▁capacitor", + -13.362832069396973 + ], + [ + "deprived", + -13.3634614944458 + ], + [ + "unbiased", + -13.3634614944458 + ], + [ + "▁Dominique", + -13.3634614944458 + ], + [ + "▁Bamboo", + -13.363462448120117 + ], + [ + "▁Heinrich", + -13.363465309143066 + ], + [ + "individualized", + -13.363550186157227 + ], + [ + "▁ansprechen", + -13.363776206970215 + ], + [ + "ordinaire", + -13.363801002502441 + ], + [ + "▁Ucraina", + -13.364112854003906 + ], + [ + "▁militare", + -13.364115715026855 + ], + [ + "massif", + -13.364352226257324 + ], + [ + "▁emisiuni", + -13.364501953125 + ], + [ + "maladies", + -13.364622116088867 + ], + [ + "▁pneumonia", + -13.364765167236328 + ], + [ + "▁graffiti", + -13.364767074584961 + ], + [ + "▁Determine", + -13.3648099899292 + ], + [ + "▁Northwestern", + -13.364893913269043 + ], + [ + "▁grasimi", + -13.364897727966309 + ], + [ + "▁lebendig", + -13.364920616149902 + ], + [ + "▁cifre", + -13.364946365356445 + ], + [ + "▁accelerator", + -13.36533260345459 + ], + [ + "▁nib", + -13.365374565124512 + ], + [ + "▁Jocuri", + -13.365400314331055 + ], + [ + "▁außergewöhnlich", + -13.365402221679688 + ], + [ + "▁orchid", + -13.36542797088623 + ], + [ + "zugreifen", + -13.365530967712402 + ], + [ + "utilisent", + -13.365662574768066 + ], + [ + "▁nineteenth", + -13.366071701049805 + ], + [ + "improvisation", + -13.366072654724121 + ], + [ + "▁Disclosure", + -13.366072654724121 + ], + [ + "▁Überraschung", + -13.366072654724121 + ], + [ + "▁Casual", + -13.366093635559082 + ], + [ + "▁Witness", + -13.366093635559082 + ], + [ + "teacher", + -13.366125106811523 + ], + [ + "Printed", + -13.366129875183105 + ], + [ + "▁prețuri", + -13.366189956665039 + ], + [ + "rues", + -13.366216659545898 + ], + [ + "▁cerinte", + -13.366338729858398 + ], + [ + "rouvent", + -13.36662483215332 + ], + [ + "assembling", + -13.36673355102539 + ], + [ + "▁atenție", + -13.366769790649414 + ], + [ + "▁amintiri", + -13.366782188415527 + ], + [ + "▁sustinut", + -13.366805076599121 + ], + [ + "Digital", + -13.367257118225098 + ], + [ + "▁Deborah", + -13.36738109588623 + ], + [ + "gesichts", + -13.367382049560547 + ], + [ + "▁temperament", + -13.367440223693848 + ], + [ + "▁competency", + -13.367447853088379 + ], + [ + "▁dwarf", + -13.367515563964844 + ], + [ + "▁dureaz", + -13.367539405822754 + ], + [ + "habilit", + -13.367764472961426 + ], + [ + "leaned", + -13.3679838180542 + ], + [ + "▁illicit", + -13.368348121643066 + ], + [ + "Availability", + -13.368691444396973 + ], + [ + "▁Brașov", + -13.368691444396973 + ], + [ + "▁Pyramid", + -13.368691444396973 + ], + [ + "▁achievable", + -13.368691444396973 + ], + [ + "▁judiciaire", + -13.368691444396973 + ], + [ + "Übrigen", + -13.368693351745605 + ], + [ + "▁activism", + -13.368795394897461 + ], + [ + "▁boycott", + -13.368839263916016 + ], + [ + "Desigur", + -13.368927001953125 + ], + [ + "klingt", + -13.369264602661133 + ], + [ + "▁Leidenschaft", + -13.369346618652344 + ], + [ + "▁Richtig", + -13.369701385498047 + ], + [ + "▁Airbnb", + -13.370002746582031 + ], + [ + "▁învățământ", + -13.370002746582031 + ], + [ + "Kampagne", + -13.370004653930664 + ], + [ + "▁thumbnail", + -13.370014190673828 + ], + [ + "Bestimmungen", + -13.370016098022461 + ], + [ + "▁vollkommen", + -13.37001895904541 + ], + [ + "▁biomass", + -13.370027542114258 + ], + [ + "▁escalate", + -13.370030403137207 + ], + [ + "wächst", + -13.370085716247559 + ], + [ + "▁scăpa", + -13.370098114013672 + ], + [ + "▁résult", + -13.37014389038086 + ], + [ + "▁shrine", + -13.370217323303223 + ], + [ + "maximizing", + -13.370370864868164 + ], + [ + "avoue", + -13.370492935180664 + ], + [ + "dirigeants", + -13.370665550231934 + ], + [ + "▁cerveau", + -13.370672225952148 + ], + [ + "▁proast", + -13.370955467224121 + ], + [ + "▁contaminants", + -13.371325492858887 + ], + [ + "effectue", + -13.37151050567627 + ], + [ + "ediție", + -13.371539115905762 + ], + [ + "monetiz", + -13.371772766113281 + ], + [ + "▁deplasare", + -13.371976852416992 + ], + [ + "▁Sfant", + -13.37209415435791 + ], + [ + "ROOM", + -13.372113227844238 + ], + [ + "bushes", + -13.372151374816895 + ], + [ + "mairie", + -13.37251091003418 + ], + [ + "obligate", + -13.372528076171875 + ], + [ + "▁tug", + -13.372573852539062 + ], + [ + "▁Collector", + -13.372632026672363 + ], + [ + "▁annoyed", + -13.372633934020996 + ], + [ + "▁aerobic", + -13.372654914855957 + ], + [ + "▁integer", + -13.372830390930176 + ], + [ + "▁Upload", + -13.373249053955078 + ], + [ + "▁impartial", + -13.37346076965332 + ], + [ + "▁discuţi", + -13.373623847961426 + ], + [ + "gastrointestinal", + -13.37394905090332 + ], + [ + "▁chiropractor", + -13.37394905090332 + ], + [ + "▁treptat", + -13.373950004577637 + ], + [ + "▁fishermen", + -13.37395191192627 + ], + [ + "levitra", + -13.3739595413208 + ], + [ + "Gruppe", + -13.373964309692383 + ], + [ + "▁Apostle", + -13.373970985412598 + ], + [ + "▁conseillé", + -13.374068260192871 + ], + [ + "Isra", + -13.37421703338623 + ], + [ + "▁Persönlichkeit", + -13.374431610107422 + ], + [ + "▁cantitati", + -13.374459266662598 + ], + [ + "▁incredibil", + -13.374614715576172 + ], + [ + "▁Berater", + -13.374800682067871 + ], + [ + "▁propuneri", + -13.374835014343262 + ], + [ + "MEDIA", + -13.375236511230469 + ], + [ + "▁opaque", + -13.37526798248291 + ], + [ + "▁Nielsen", + -13.375269889831543 + ], + [ + "▁cartofi", + -13.375277519226074 + ], + [ + "▁Whale", + -13.37533950805664 + ], + [ + "erzeugen", + -13.375890731811523 + ], + [ + "▁knack", + -13.375931739807129 + ], + [ + "Kandidat", + -13.375936508178711 + ], + [ + "▁tradițional", + -13.375937461853027 + ], + [ + "zählige", + -13.375983238220215 + ], + [ + "▁Petroleum", + -13.376588821411133 + ], + [ + "▁deficiencies", + -13.376588821411133 + ], + [ + "▁persecution", + -13.376588821411133 + ], + [ + "▁zgomot", + -13.376588821411133 + ], + [ + "▁reiterate", + -13.376592636108398 + ], + [ + "▁Slice", + -13.376670837402344 + ], + [ + "▁envy", + -13.376704216003418 + ], + [ + "▁stomac", + -13.376851081848145 + ], + [ + "Donnell", + -13.376914978027344 + ], + [ + "▁primordial", + -13.377249717712402 + ], + [ + "reclining", + -13.377274513244629 + ], + [ + "PASS", + -13.377861976623535 + ], + [ + "▁Resistance", + -13.377910614013672 + ], + [ + "▁Widerruf", + -13.377911567687988 + ], + [ + "▁vodka", + -13.377911567687988 + ], + [ + "▁yolk", + -13.377912521362305 + ], + [ + "ollywood", + -13.377915382385254 + ], + [ + "▁truffle", + -13.377933502197266 + ], + [ + "▁Sänger", + -13.377955436706543 + ], + [ + "▁Kenntnis", + -13.377968788146973 + ], + [ + "▁Kiel", + -13.37803840637207 + ], + [ + "▁Mutual", + -13.378044128417969 + ], + [ + "▁saliva", + -13.37816047668457 + ], + [ + "▁renforce", + -13.378411293029785 + ], + [ + "▁mulch", + -13.378680229187012 + ], + [ + "▁reviste", + -13.378875732421875 + ], + [ + "lucrarea", + -13.378978729248047 + ], + [ + "▁multiply", + -13.379130363464355 + ], + [ + "▁marshmallow", + -13.379234313964844 + ], + [ + "▁Durchschnitt", + -13.379288673400879 + ], + [ + "▁Authorities", + -13.379426002502441 + ], + [ + "▁greed", + -13.379521369934082 + ], + [ + "Visiting", + -13.379638671875 + ], + [ + "Carlton", + -13.379727363586426 + ], + [ + "▁splend", + -13.37975025177002 + ], + [ + "▁Erkenntnisse", + -13.379898071289062 + ], + [ + "▁Russie", + -13.379916191101074 + ], + [ + "Agence", + -13.38007926940918 + ], + [ + "schickt", + -13.380288124084473 + ], + [ + "##", + -13.3804931640625 + ], + [ + "▁Erweiterung", + -13.380560874938965 + ], + [ + "▁Franchise", + -13.380560874938965 + ], + [ + "Dedicated", + -13.380563735961914 + ], + [ + "▁Wisdom", + -13.380569458007812 + ], + [ + "▁gagnant", + -13.380592346191406 + ], + [ + "planetary", + -13.380598068237305 + ], + [ + "▁affinity", + -13.380619049072266 + ], + [ + "▁préférence", + -13.380739212036133 + ], + [ + "▁intellect", + -13.380810737609863 + ], + [ + "▁Translat", + -13.380830764770508 + ], + [ + "▁Sultan", + -13.38089370727539 + ], + [ + "▁birouri", + -13.38101577758789 + ], + [ + "▁Academie", + -13.381224632263184 + ], + [ + "▁consequential", + -13.38138484954834 + ], + [ + "▁festgestellt", + -13.381402015686035 + ], + [ + "▁Chanel", + -13.381444931030273 + ], + [ + "▁soutenu", + -13.381875038146973 + ], + [ + "▁Montessori", + -13.381888389587402 + ], + [ + "▁equitable", + -13.381892204284668 + ], + [ + "▁théorie", + -13.381893157958984 + ], + [ + "▁primavara", + -13.3818941116333 + ], + [ + "▁Daughter", + -13.38189697265625 + ], + [ + "▁Dixon", + -13.381898880004883 + ], + [ + "▁unravel", + -13.38190746307373 + ], + [ + "Olimp", + -13.381915092468262 + ], + [ + "▁disturbed", + -13.381916999816895 + ], + [ + "▁novelty", + -13.382004737854004 + ], + [ + "synchronous", + -13.382113456726074 + ], + [ + "relevant", + -13.382166862487793 + ], + [ + "bourgeois", + -13.38251781463623 + ], + [ + "▁Parfum", + -13.38255500793457 + ], + [ + "▁Polonia", + -13.382563591003418 + ], + [ + "▁monoton", + -13.382781028747559 + ], + [ + "tratare", + -13.38302230834961 + ], + [ + "dumping", + -13.38318157196045 + ], + [ + "▁Bibliothek", + -13.383217811584473 + ], + [ + "▁Saskatchewan", + -13.383217811584473 + ], + [ + "▁experiential", + -13.383217811584473 + ], + [ + "▁verursacht", + -13.383217811584473 + ], + [ + "intègre", + -13.383218765258789 + ], + [ + "▁Intermediate", + -13.383275032043457 + ], + [ + "Israel", + -13.383476257324219 + ], + [ + "lucreaza", + -13.383495330810547 + ], + [ + "▁quantify", + -13.383862495422363 + ], + [ + "▁zahăr", + -13.383882522583008 + ], + [ + "▁încadr", + -13.383902549743652 + ], + [ + "Personalized", + -13.383946418762207 + ], + [ + "▁Chronic", + -13.384309768676758 + ], + [ + "hôpital", + -13.384549140930176 + ], + [ + "▁diskutiert", + -13.384549140930176 + ], + [ + "electrique", + -13.3848876953125 + ], + [ + "ethos", + -13.384978294372559 + ], + [ + "Nase", + -13.385059356689453 + ], + [ + "atmosphère", + -13.385214805603027 + ], + [ + "▁ungefähr", + -13.385215759277344 + ], + [ + "évaluer", + -13.385251998901367 + ], + [ + "▁scuz", + -13.385321617126465 + ], + [ + "haltige", + -13.38533878326416 + ], + [ + "January", + -13.38557243347168 + ], + [ + "▁Sharma", + -13.385603904724121 + ], + [ + "▁seizures", + -13.385881423950195 + ], + [ + "▁zucchini", + -13.385881423950195 + ], + [ + "▁Stadi", + -13.385885238647461 + ], + [ + "▁eccentric", + -13.385885238647461 + ], + [ + "▁offensichtlich", + -13.385909080505371 + ], + [ + "▁Irvine", + -13.385920524597168 + ], + [ + "cuprinse", + -13.38601303100586 + ], + [ + "▁Arbitr", + -13.386157035827637 + ], + [ + "Buenos", + -13.386183738708496 + ], + [ + "▁Shelter", + -13.386210441589355 + ], + [ + "CEPT", + -13.386454582214355 + ], + [ + "ouvri", + -13.386455535888672 + ], + [ + "acryl", + -13.386539459228516 + ], + [ + "▁Gourmet", + -13.38654899597168 + ], + [ + "scented", + -13.386595726013184 + ], + [ + "doubling", + -13.38659954071045 + ], + [ + "▁rafina", + -13.386608123779297 + ], + [ + "▁Vereinbarung", + -13.38721752166748 + ], + [ + "▁Dashboard", + -13.387218475341797 + ], + [ + "▁Sandwich", + -13.387218475341797 + ], + [ + "▁Riviera", + -13.387226104736328 + ], + [ + "échec", + -13.387237548828125 + ], + [ + "Giro", + -13.387253761291504 + ], + [ + "▁oasis", + -13.38725757598877 + ], + [ + "▁apology", + -13.3872709274292 + ], + [ + "▁YEAR", + -13.387272834777832 + ], + [ + "▁realtor", + -13.387504577636719 + ], + [ + "acheteur", + -13.38754653930664 + ], + [ + "▁larva", + -13.387613296508789 + ], + [ + "▁invitați", + -13.388097763061523 + ], + [ + "exhibiting", + -13.38830852508545 + ], + [ + "modernen", + -13.388331413269043 + ], + [ + "▁Collaboration", + -13.38855266571045 + ], + [ + "▁dezvălui", + -13.38855266571045 + ], + [ + "▁kiosk", + -13.38855266571045 + ], + [ + "▁Bermuda", + -13.388553619384766 + ], + [ + "Copiii", + -13.388564109802246 + ], + [ + "▁goddess", + -13.388581275939941 + ], + [ + "uplifting", + -13.388609886169434 + ], + [ + "▁simultan", + -13.388808250427246 + ], + [ + "▁episod", + -13.388884544372559 + ], + [ + "▁Braşov", + -13.38922119140625 + ], + [ + "cunoscută", + -13.389634132385254 + ], + [ + "▁Cherokee", + -13.389890670776367 + ], + [ + "▁Kazakhstan", + -13.389890670776367 + ], + [ + "▁Lauderdale", + -13.389890670776367 + ], + [ + "▁închisoare", + -13.389898300170898 + ], + [ + "▁Christchurch", + -13.389934539794922 + ], + [ + "▁influenţ", + -13.389982223510742 + ], + [ + "▁Meghan", + -13.390019416809082 + ], + [ + "▁Dienstleistung", + -13.390557289123535 + ], + [ + "▁cladiri", + -13.390564918518066 + ], + [ + "▁evrei", + -13.391148567199707 + ], + [ + "▁oatmeal", + -13.391230583190918 + ], + [ + "▁chronique", + -13.3912353515625 + ], + [ + "▁associée", + -13.391264915466309 + ], + [ + "▁Goose", + -13.391283988952637 + ], + [ + "gänz", + -13.391855239868164 + ], + [ + "▁Blätter", + -13.391901969909668 + ], + [ + "▁jurnalist", + -13.392212867736816 + ], + [ + "cedat", + -13.392263412475586 + ], + [ + "nommée", + -13.392315864562988 + ], + [ + "écrivain", + -13.392572402954102 + ], + [ + "▁epoxy", + -13.392577171325684 + ], + [ + "▁verlangt", + -13.392590522766113 + ], + [ + "Störung", + -13.392708778381348 + ], + [ + "▁Doyle", + -13.392729759216309 + ], + [ + "▁Philharmoni", + -13.392844200134277 + ], + [ + "▁déclare", + -13.393044471740723 + ], + [ + "effort", + -13.393045425415039 + ], + [ + "ström", + -13.393118858337402 + ], + [ + "▁cunoaşte", + -13.393244743347168 + ], + [ + "▁gigantic", + -13.3932466506958 + ], + [ + "któ", + -13.393378257751465 + ], + [ + "▁ilustr", + -13.393529891967773 + ], + [ + "▁frec", + -13.39371109008789 + ], + [ + "▁Syracuse", + -13.393916130065918 + ], + [ + "▁Einwilligung", + -13.393917083740234 + ], + [ + "▁miraculous", + -13.393917083740234 + ], + [ + "▁ökologisch", + -13.393917083740234 + ], + [ + "▁Simmons", + -13.393922805786133 + ], + [ + "▁albastru", + -13.393926620483398 + ], + [ + "besser", + -13.393962860107422 + ], + [ + "▁interioare", + -13.394006729125977 + ], + [ + "▁Trocken", + -13.394068717956543 + ], + [ + "niveau", + -13.39406967163086 + ], + [ + "▁Torah", + -13.394122123718262 + ], + [ + "▁beobachten", + -13.3945894241333 + ], + [ + "▁behandeln", + -13.394637107849121 + ], + [ + "staffed", + -13.394742965698242 + ], + [ + "hütte", + -13.394824028015137 + ], + [ + "Central", + -13.394939422607422 + ], + [ + "▁Freiburg", + -13.395198822021484 + ], + [ + "▁Netanyahu", + -13.395261764526367 + ], + [ + "▁Lexington", + -13.395302772521973 + ], + [ + "▁insotit", + -13.395492553710938 + ], + [ + "▁depasi", + -13.39560604095459 + ], + [ + "sewage", + -13.395853996276855 + ], + [ + "erkrankung", + -13.395951271057129 + ], + [ + "▁părţi", + -13.396234512329102 + ], + [ + "▁Nixon", + -13.39661693572998 + ], + [ + "Byron", + -13.396905899047852 + ], + [ + "▁varietat", + -13.39724063873291 + ], + [ + "▁Bildschirm", + -13.397299766540527 + ], + [ + "▁accompli", + -13.397424697875977 + ], + [ + "affirmed", + -13.397525787353516 + ], + [ + "▁phyto", + -13.397533416748047 + ], + [ + "sectiune", + -13.397592544555664 + ], + [ + "abteilung", + -13.397932052612305 + ], + [ + "▁voastre", + -13.397957801818848 + ], + [ + "GitHub", + -13.397958755493164 + ], + [ + "▁Jorge", + -13.39796257019043 + ], + [ + "ACTION", + -13.397972106933594 + ], + [ + "voastra", + -13.397984504699707 + ], + [ + "▁Peanut", + -13.397987365722656 + ], + [ + "▁bilingual", + -13.398011207580566 + ], + [ + "▁nourriture", + -13.39803695678711 + ], + [ + "▁Asphalt", + -13.398640632629395 + ], + [ + "emballage", + -13.399310111999512 + ], + [ + "▁sanitation", + -13.399310111999512 + ], + [ + "▁Dessert", + -13.399313926696777 + ], + [ + "intitulé", + -13.399322509765625 + ], + [ + "▁acţiune", + -13.399374008178711 + ], + [ + "▁Übersetzung", + -13.399402618408203 + ], + [ + "destinate", + -13.39941692352295 + ], + [ + "▁Goddess", + -13.399504661560059 + ], + [ + "poziție", + -13.399576187133789 + ], + [ + "denumirea", + -13.400002479553223 + ], + [ + "cantitatea", + -13.40002727508545 + ], + [ + "▁Stereo", + -13.400223731994629 + ], + [ + "object", + -13.400373458862305 + ], + [ + "▁décè", + -13.40058708190918 + ], + [ + "▁Handeln", + -13.400665283203125 + ], + [ + "▁ambience", + -13.400697708129883 + ], + [ + "▁Lindsay", + -13.4006986618042 + ], + [ + "▁tensiune", + -13.400781631469727 + ], + [ + "▁thrift", + -13.400788307189941 + ], + [ + "▁Optimiz", + -13.400843620300293 + ], + [ + "▁beantworten", + -13.401338577270508 + ], + [ + "▁magistrat", + -13.401342391967773 + ], + [ + "évidence", + -13.402016639709473 + ], + [ + "▁Eclipse", + -13.402016639709473 + ], + [ + "▁Ribbon", + -13.402016639709473 + ], + [ + "▁condensation", + -13.402016639709473 + ], + [ + "▁innocence", + -13.402018547058105 + ], + [ + "▁mascara", + -13.402023315429688 + ], + [ + "▁seventeen", + -13.402290344238281 + ], + [ + "▁compétent", + -13.402694702148438 + ], + [ + "bewertet", + -13.402717590332031 + ], + [ + "▁Muzic", + -13.40285587310791 + ], + [ + "complexities", + -13.402928352355957 + ], + [ + "ddington", + -13.403324127197266 + ], + [ + "Entwickler", + -13.403372764587402 + ], + [ + "masonry", + -13.4033784866333 + ], + [ + "Führer", + -13.403386116027832 + ], + [ + "▁awakening", + -13.403388977050781 + ], + [ + "▁lovitur", + -13.403806686401367 + ], + [ + "gebrochen", + -13.404068946838379 + ], + [ + "indexed", + -13.404478073120117 + ], + [ + "campania", + -13.404515266418457 + ], + [ + "▁Fountain", + -13.404730796813965 + ], + [ + "▁Joomla", + -13.404730796813965 + ], + [ + "▁Superintendent", + -13.404730796813965 + ], + [ + "▁Dahl", + -13.404742240905762 + ], + [ + "▁Benefici", + -13.404863357543945 + ], + [ + "optimiser", + -13.404919624328613 + ], + [ + "bursting", + -13.405380249023438 + ], + [ + "diplom", + -13.405427932739258 + ], + [ + "microsoft", + -13.405621528625488 + ], + [ + "▁correlate", + -13.405776977539062 + ], + [ + "▁arhitectura", + -13.405848503112793 + ], + [ + "▁lunette", + -13.40611743927002 + ], + [ + "Statistical", + -13.406147003173828 + ], + [ + "▁iarnă", + -13.406201362609863 + ], + [ + "▁importanț", + -13.406932830810547 + ], + [ + "sistence", + -13.407366752624512 + ], + [ + "associated", + -13.407402992248535 + ], + [ + "Occident", + -13.407452583312988 + ], + [ + "▁Heidelberg", + -13.407452583312988 + ], + [ + "▁acquaintance", + -13.407452583312988 + ], + [ + "Introducing", + -13.407453536987305 + ], + [ + "▁ripple", + -13.407480239868164 + ], + [ + "▁Childhood", + -13.407563209533691 + ], + [ + "drywall", + -13.407577514648438 + ], + [ + "Vreau", + -13.40771770477295 + ], + [ + "▁compétence", + -13.407967567443848 + ], + [ + "▁asteapta", + -13.408135414123535 + ], + [ + "▁duhovnic", + -13.408135414123535 + ], + [ + "▁învăţământ", + -13.408141136169434 + ], + [ + "encompassing", + -13.40829849243164 + ], + [ + "1997)", + -13.408370018005371 + ], + [ + "▁atractiv", + -13.408515930175781 + ], + [ + "Majoritatea", + -13.408775329589844 + ], + [ + "▁bungalow", + -13.40881633758545 + ], + [ + "▁Introduce", + -13.408817291259766 + ], + [ + "▁culprit", + -13.408817291259766 + ], + [ + "▁malheureusement", + -13.408817291259766 + ], + [ + "▁voudrai", + -13.408817291259766 + ], + [ + "Europäische", + -13.408825874328613 + ], + [ + "wunsch", + -13.408880233764648 + ], + [ + "▁înțeles", + -13.408892631530762 + ], + [ + "▁infestation", + -13.40889835357666 + ], + [ + "Bringing", + -13.409186363220215 + ], + [ + "▁Mehrheit", + -13.409229278564453 + ], + [ + "ски", + -13.409456253051758 + ], + [ + "▁procéder", + -13.409499168395996 + ], + [ + "grupului", + -13.409504890441895 + ], + [ + "▁dispoziti", + -13.40964412689209 + ], + [ + "▁snug", + -13.409950256347656 + ], + [ + "▁Afrika", + -13.41018295288086 + ], + [ + "▁Madagascar", + -13.41018295288086 + ], + [ + "Părinte", + -13.410195350646973 + ], + [ + "▁Clayton", + -13.410223960876465 + ], + [ + "▁antagonist", + -13.410239219665527 + ], + [ + "termeni", + -13.410250663757324 + ], + [ + "▁Literary", + -13.410391807556152 + ], + [ + "▁Babylon", + -13.410452842712402 + ], + [ + "▁überprüfen", + -13.410865783691406 + ], + [ + "▁duminica", + -13.410879135131836 + ], + [ + "farbig", + -13.410970687866211 + ], + [ + "nennt", + -13.411064147949219 + ], + [ + "annual", + -13.411487579345703 + ], + [ + "▁Qualcomm", + -13.41154956817627 + ], + [ + "▁Slovakia", + -13.41154956817627 + ], + [ + "▁plictis", + -13.411552429199219 + ], + [ + "▁prairie", + -13.411554336547852 + ], + [ + "▁Schatten", + -13.411622047424316 + ], + [ + "▁compléter", + -13.41223430633545 + ], + [ + "inauguration", + -13.412376403808594 + ], + [ + "▁apărare", + -13.412407875061035 + ], + [ + "▁întăr", + -13.412412643432617 + ], + [ + "▁pronunciation", + -13.412919044494629 + ], + [ + "▁bewährt", + -13.412919998168945 + ], + [ + "▁Viertel", + -13.413084983825684 + ], + [ + "▁Heidi", + -13.413252830505371 + ], + [ + "▁Gummi", + -13.413507461547852 + ], + [ + "▁veggie", + -13.413552284240723 + ], + [ + "▁monsieur", + -13.413604736328125 + ], + [ + "éveil", + -13.413630485534668 + ], + [ + "shipments", + -13.413928985595703 + ], + [ + "▁Medikamente", + -13.414290428161621 + ], + [ + "▁Johannesburg", + -13.414314270019531 + ], + [ + "▁ermittelt", + -13.414321899414062 + ], + [ + "▁bataille", + -13.414440155029297 + ], + [ + "extrem", + -13.414609909057617 + ], + [ + "▁1:2", + -13.414671897888184 + ], + [ + "Array", + -13.414725303649902 + ], + [ + "▁portail", + -13.414857864379883 + ], + [ + "▁găzdui", + -13.414977073669434 + ], + [ + "▁Calcium", + -13.41497802734375 + ], + [ + "▁Correction", + -13.415104866027832 + ], + [ + "bureaux", + -13.41528034210205 + ], + [ + "bestselling", + -13.415338516235352 + ], + [ + "Übungen", + -13.415420532226562 + ], + [ + "paramètres", + -13.415633201599121 + ], + [ + "▁Provincial", + -13.415663719177246 + ], + [ + "▁outrageous", + -13.415680885314941 + ], + [ + "▁Giveaway", + -13.415775299072266 + ], + [ + "▁LGBTQ", + -13.41589641571045 + ], + [ + "geklärt", + -13.416854858398438 + ], + [ + "▁Karlsruhe", + -13.417038917541504 + ], + [ + "▁esențial", + -13.417038917541504 + ], + [ + "avancée", + -13.41703987121582 + ], + [ + "hesitant", + -13.417040824890137 + ], + [ + "enlarged", + -13.417069435119629 + ], + [ + "▁inherit", + -13.417121887207031 + ], + [ + "Food", + -13.4171724319458 + ], + [ + "bucuria", + -13.417181015014648 + ], + [ + "▁BTW", + -13.417400360107422 + ], + [ + "associe", + -13.417579650878906 + ], + [ + "▁Möchte", + -13.417742729187012 + ], + [ + "demokrat", + -13.417789459228516 + ], + [ + "Turcia", + -13.417964935302734 + ], + [ + "forged", + -13.418370246887207 + ], + [ + "▁Zhao", + -13.418442726135254 + ], + [ + "▁cherries", + -13.418556213378906 + ], + [ + "▁evangelical", + -13.418631553649902 + ], + [ + "▁jüng", + -13.418792724609375 + ], + [ + "spans", + -13.41880989074707 + ], + [ + "▁străluc", + -13.41888427734375 + ], + [ + "▁geschie", + -13.41893196105957 + ], + [ + "▁Tattoo", + -13.419112205505371 + ], + [ + "sanitary", + -13.419114112854004 + ], + [ + "▁biopsy", + -13.419353485107422 + ], + [ + "▁imprumut", + -13.419795036315918 + ], + [ + "▁unreasonable", + -13.419795036315918 + ], + [ + "Funktion", + -13.419800758361816 + ], + [ + "▁prohibition", + -13.419904708862305 + ], + [ + "▁Prezent", + -13.419939041137695 + ], + [ + "boosted", + -13.419967651367188 + ], + [ + "▁chalet", + -13.420382499694824 + ], + [ + "▁tanar", + -13.420450210571289 + ], + [ + "Faktoren", + -13.420489311218262 + ], + [ + "▁Mozilla", + -13.420550346374512 + ], + [ + "▁Lambert", + -13.420760154724121 + ], + [ + "▁Cruci", + -13.420927047729492 + ], + [ + "▁Flugzeug", + -13.421198844909668 + ], + [ + "reassure", + -13.421205520629883 + ], + [ + "envisioned", + -13.421542167663574 + ], + [ + "Traditionally", + -13.421773910522461 + ], + [ + "▁parametri", + -13.42185115814209 + ], + [ + "▁unicorn", + -13.421891212463379 + ], + [ + "▁adéquat", + -13.421894073486328 + ], + [ + "▁Colonial", + -13.421915054321289 + ], + [ + "▁Kwa", + -13.422097206115723 + ], + [ + "▁SERV", + -13.422333717346191 + ], + [ + "tourism", + -13.422627449035645 + ], + [ + "▁Kiev", + -13.422974586486816 + ], + [ + "heightened", + -13.42309284210205 + ], + [ + "circulating", + -13.423099517822266 + ], + [ + "▁Kreditkarte", + -13.42310619354248 + ], + [ + "gedruckt", + -13.423110008239746 + ], + [ + "▁Depend", + -13.423120498657227 + ], + [ + "Style", + -13.423196792602539 + ], + [ + "▁Rettungs", + -13.42325496673584 + ], + [ + "wrongful", + -13.423418998718262 + ], + [ + "▁devour", + -13.423453330993652 + ], + [ + "▁manevr", + -13.423582077026367 + ], + [ + "carora", + -13.423628807067871 + ], + [ + "erfolgreichen", + -13.423723220825195 + ], + [ + "überwiegend", + -13.423942565917969 + ], + [ + "▁Sauvignon", + -13.423942565917969 + ], + [ + "händler", + -13.423944473266602 + ], + [ + "▁annotation", + -13.424009323120117 + ], + [ + "▁expans", + -13.424020767211914 + ], + [ + "▁recital", + -13.424080848693848 + ], + [ + "inhabited", + -13.424367904663086 + ], + [ + "OnePlus", + -13.424549102783203 + ], + [ + "Gästen", + -13.424588203430176 + ], + [ + "beliebig", + -13.424613952636719 + ], + [ + "▁Anonymous", + -13.424635887145996 + ], + [ + "▁Ansprechpartner", + -13.424635887145996 + ], + [ + "▁tamb", + -13.42464542388916 + ], + [ + "estimating", + -13.424670219421387 + ], + [ + "frequent", + -13.424769401550293 + ], + [ + "▁disciplin", + -13.425241470336914 + ], + [ + "▁plombier", + -13.425329208374023 + ], + [ + "▁teoretic", + -13.42533016204834 + ], + [ + "greift", + -13.425339698791504 + ], + [ + "▁Einschränkung", + -13.42537784576416 + ], + [ + "obscur", + -13.426115989685059 + ], + [ + "architecte", + -13.426233291625977 + ], + [ + "▁détour", + -13.42647647857666 + ], + [ + "▁spaghetti", + -13.426717758178711 + ], + [ + "croft", + -13.42693042755127 + ], + [ + "▁Grammar", + -13.426953315734863 + ], + [ + "▁investitii", + -13.427062034606934 + ], + [ + "▁glorif", + -13.427067756652832 + ], + [ + "architekt", + -13.427412033081055 + ], + [ + "Oricum", + -13.427451133728027 + ], + [ + "▁bruise", + -13.427692413330078 + ], + [ + "▁McCarthy", + -13.428107261657715 + ], + [ + "▁Uruguay", + -13.428107261657715 + ], + [ + "Produsele", + -13.428109169006348 + ], + [ + "▁Comparison", + -13.42811107635498 + ], + [ + "▁fondamental", + -13.42811107635498 + ], + [ + "▁stradă", + -13.428115844726562 + ], + [ + "▁Countries", + -13.428131103515625 + ], + [ + "▁guéri", + -13.42825698852539 + ], + [ + "▁bâti", + -13.428339004516602 + ], + [ + "▁blunt", + -13.428515434265137 + ], + [ + "▁Sistem", + -13.428645133972168 + ], + [ + "▁Betroffenen", + -13.428803443908691 + ], + [ + "efectuare", + -13.428823471069336 + ], + [ + "▁scharf", + -13.428899765014648 + ], + [ + "naps", + -13.429057121276855 + ], + [ + "▁plaid", + -13.429163932800293 + ], + [ + "▁investiții", + -13.429367065429688 + ], + [ + "evenimentele", + -13.42948055267334 + ], + [ + "▁Phuket", + -13.429499626159668 + ], + [ + "▁testosterone", + -13.429499626159668 + ], + [ + "▁scaffold", + -13.429500579833984 + ], + [ + "▁rasch", + -13.430022239685059 + ], + [ + "▁adânc", + -13.430076599121094 + ], + [ + "atteinte", + -13.430228233337402 + ], + [ + "▁educație", + -13.430320739746094 + ], + [ + "▁leopard", + -13.430893898010254 + ], + [ + "▁superioare", + -13.430893898010254 + ], + [ + "▁téléchargement", + -13.430893898010254 + ], + [ + "▁Weapon", + -13.431103706359863 + ], + [ + "favourable", + -13.431336402893066 + ], + [ + "nourishing", + -13.43143367767334 + ], + [ + "▁verfolgt", + -13.43160629272461 + ], + [ + "▁tablou", + -13.431633949279785 + ], + [ + "Algérie", + -13.431657791137695 + ], + [ + "Islam", + -13.431700706481934 + ], + [ + "faser", + -13.431825637817383 + ], + [ + "rhythm", + -13.432214736938477 + ], + [ + "▁Anthropolog", + -13.432291030883789 + ], + [ + "▁clôtur", + -13.432291030883789 + ], + [ + "spüren", + -13.432291984558105 + ], + [ + "▁Architectural", + -13.432294845581055 + ], + [ + "▁imaginary", + -13.432368278503418 + ], + [ + "cône", + -13.432456016540527 + ], + [ + "▁snuggl", + -13.432744026184082 + ], + [ + "disadvantaged", + -13.432745933532715 + ], + [ + "radically", + -13.4329195022583 + ], + [ + "Première", + -13.433011054992676 + ], + [ + "▁combinaison", + -13.433027267456055 + ], + [ + "▁Algeria", + -13.43303108215332 + ], + [ + "▁Wände", + -13.43317985534668 + ], + [ + "aesthetically", + -13.43336009979248 + ], + [ + "▁McKe", + -13.433368682861328 + ], + [ + "interroge", + -13.433473587036133 + ], + [ + "exclusive", + -13.433475494384766 + ], + [ + "▁Thomson", + -13.433688163757324 + ], + [ + "▁Gujarat", + -13.43368911743164 + ], + [ + "irgendwo", + -13.433690071105957 + ], + [ + "Severin", + -13.433767318725586 + ], + [ + "▁imitation", + -13.433926582336426 + ], + [ + "constructed", + -13.434194564819336 + ], + [ + "▁Montpellier", + -13.434388160705566 + ], + [ + "cedent", + -13.434539794921875 + ], + [ + "accelerating", + -13.434563636779785 + ], + [ + "dommages", + -13.4346284866333 + ], + [ + "lideri", + -13.434730529785156 + ], + [ + "▁Millennium", + -13.435089111328125 + ], + [ + "▁imprisonment", + -13.435089111328125 + ], + [ + "machining", + -13.435111999511719 + ], + [ + "▁anxiet", + -13.43521499633789 + ], + [ + "Contains", + -13.435298919677734 + ], + [ + "pleade", + -13.435563087463379 + ], + [ + "DOWN", + -13.43564510345459 + ], + [ + "geschehen", + -13.435797691345215 + ], + [ + "restaurant", + -13.435811996459961 + ], + [ + "Totusi", + -13.435839653015137 + ], + [ + "amintesc", + -13.436158180236816 + ], + [ + "▁Crisp", + -13.436233520507812 + ], + [ + "aduse", + -13.436278343200684 + ], + [ + "▁imposé", + -13.436351776123047 + ], + [ + "Jubiläum", + -13.436490058898926 + ], + [ + "▁Plaintiff", + -13.436491012573242 + ], + [ + "▁authoritative", + -13.436491966247559 + ], + [ + "▁rendition", + -13.436633110046387 + ], + [ + "Royce", + -13.436707496643066 + ], + [ + "1996)", + -13.436724662780762 + ], + [ + "Asociația", + -13.437192916870117 + ], + [ + "▁Gluten", + -13.437264442443848 + ], + [ + "feature", + -13.43741226196289 + ], + [ + "Behavioral", + -13.437454223632812 + ], + [ + "tearing", + -13.437763214111328 + ], + [ + "▁Entfernung", + -13.437894821166992 + ], + [ + "▁Responsibility", + -13.437894821166992 + ], + [ + "▁negligent", + -13.437894821166992 + ], + [ + "▁syllabus", + -13.437894821166992 + ], + [ + "▁Cycling", + -13.437895774841309 + ], + [ + "generell", + -13.438114166259766 + ], + [ + "customised", + -13.438392639160156 + ], + [ + "Management", + -13.43850326538086 + ], + [ + "▁timid", + -13.438518524169922 + ], + [ + "Tagged", + -13.438730239868164 + ], + [ + "▁susţinut", + -13.438809394836426 + ], + [ + "anchored", + -13.43892765045166 + ], + [ + "alternating", + -13.439055442810059 + ], + [ + "▁obligatoriu", + -13.439300537109375 + ], + [ + "▁reinstate", + -13.439456939697266 + ], + [ + "Können", + -13.43946361541748 + ], + [ + "▁Paol", + -13.439596176147461 + ], + [ + "öhr", + -13.439603805541992 + ], + [ + "▁Asociati", + -13.439876556396484 + ], + [ + "▁commenc", + -13.440285682678223 + ], + [ + "reinigt", + -13.440293312072754 + ], + [ + "commended", + -13.440350532531738 + ], + [ + "▁Proceed", + -13.440675735473633 + ], + [ + "beutel", + -13.440702438354492 + ], + [ + "▁Experimental", + -13.44070816040039 + ], + [ + "▁constellation", + -13.44070816040039 + ], + [ + "▁gepflegt", + -13.44070816040039 + ], + [ + "▁Ergänzung", + -13.440709114074707 + ], + [ + "Judith", + -13.440713882446289 + ], + [ + "▁Quartet", + -13.440720558166504 + ], + [ + "complemented", + -13.440742492675781 + ], + [ + "ausbildung", + -13.440750122070312 + ], + [ + "▁uncertainties", + -13.44077205657959 + ], + [ + "▁humiliat", + -13.440914154052734 + ], + [ + "luta", + -13.441121101379395 + ], + [ + "▁complexion", + -13.441482543945312 + ], + [ + "Serviciul", + -13.441612243652344 + ], + [ + "▁Toast", + -13.441722869873047 + ], + [ + "ummies", + -13.442425727844238 + ], + [ + "▁irit", + -13.442463874816895 + ], + [ + "producing", + -13.442585945129395 + ], + [ + "amenajare", + -13.442825317382812 + ], + [ + "▁béton", + -13.442828178405762 + ], + [ + "▁serpent", + -13.442851066589355 + ], + [ + "▁vizită", + -13.442996978759766 + ], + [ + "▁Beamte", + -13.443017959594727 + ], + [ + "▁Füße", + -13.443166732788086 + ], + [ + "▁Norwich", + -13.443531036376953 + ], + [ + "▁acronym", + -13.443531036376953 + ], + [ + "▁eradicate", + -13.443531036376953 + ], + [ + "▁solidarité", + -13.44353199005127 + ], + [ + "▁eggplant", + -13.443582534790039 + ], + [ + "▁sailors", + -13.443619728088379 + ], + [ + "waschen", + -13.444538116455078 + ], + [ + "Editura", + -13.444757461547852 + ], + [ + "▁erwerben", + -13.444944381713867 + ], + [ + "▁unconventional", + -13.444944381713867 + ], + [ + "▁boulder", + -13.444948196411133 + ], + [ + "Diplom", + -13.445013046264648 + ], + [ + "influx", + -13.446162223815918 + ], + [ + "▁Twelve", + -13.446361541748047 + ], + [ + "▁Sexual", + -13.44636344909668 + ], + [ + "numite", + -13.446369171142578 + ], + [ + "▁kontaktieren", + -13.446370124816895 + ], + [ + "▁strâns", + -13.44637680053711 + ], + [ + "▁précisément", + -13.446382522583008 + ], + [ + "empfindlich", + -13.446405410766602 + ], + [ + "▁divulg", + -13.446490287780762 + ], + [ + "▁delicat", + -13.446539878845215 + ], + [ + "compete", + -13.446542739868164 + ], + [ + "▁implique", + -13.446616172790527 + ], + [ + "implantation", + -13.44672966003418 + ], + [ + "frères", + -13.447328567504883 + ], + [ + "shedding", + -13.44758415222168 + ], + [ + "découvrez", + -13.447657585144043 + ], + [ + "rith", + -13.447735786437988 + ], + [ + "▁réglementation", + -13.447778701782227 + ], + [ + "▁transistor", + -13.447785377502441 + ], + [ + "inflated", + -13.447792053222656 + ], + [ + "▁Bluff", + -13.447887420654297 + ], + [ + "▁Aquarium", + -13.448526382446289 + ], + [ + "▁mananc", + -13.448638916015625 + ], + [ + "▁disinfect", + -13.448700904846191 + ], + [ + "tuft", + -13.448740005493164 + ], + [ + "Public", + -13.449081420898438 + ], + [ + "conceivabl", + -13.449197769165039 + ], + [ + "▁Cadillac", + -13.449197769165039 + ], + [ + "Assassin", + -13.449199676513672 + ], + [ + "issuance", + -13.449252128601074 + ], + [ + "▁Achtung", + -13.449287414550781 + ], + [ + "▁grundlegend", + -13.449909210205078 + ], + [ + "▁Băsescu", + -13.449910163879395 + ], + [ + "schaden", + -13.45014476776123 + ], + [ + "coached", + -13.450409889221191 + ], + [ + "▁betreffend", + -13.45046329498291 + ], + [ + "ergebnis", + -13.450541496276855 + ], + [ + "▁Lieutenant", + -13.4506196975708 + ], + [ + "WORLD", + -13.450620651245117 + ], + [ + "▁Moroccan", + -13.450620651245117 + ], + [ + "▁Butterfly", + -13.450621604919434 + ], + [ + "would", + -13.450737953186035 + ], + [ + "▁Metropol", + -13.451025009155273 + ], + [ + "lexic", + -13.451192855834961 + ], + [ + "comunitatea", + -13.45124340057373 + ], + [ + "vapeur", + -13.451456069946289 + ], + [ + "4.000", + -13.451559066772461 + ], + [ + "Pentru", + -13.451581954956055 + ], + [ + "üblichen", + -13.451613426208496 + ], + [ + "▁Général", + -13.451770782470703 + ], + [ + "▁Versailles", + -13.452046394348145 + ], + [ + "▁engraving", + -13.452046394348145 + ], + [ + "▁pédagogique", + -13.452192306518555 + ], + [ + "▁Policies", + -13.452759742736816 + ], + [ + "descending", + -13.453235626220703 + ], + [ + "stärkt", + -13.453349113464355 + ], + [ + "▁démocratie", + -13.453470230102539 + ], + [ + "▁granddaughter", + -13.453470230102539 + ], + [ + "▁buffalo", + -13.453474998474121 + ], + [ + "Datorita", + -13.45347785949707 + ], + [ + "hydroxy", + -13.453537940979004 + ], + [ + "▁ganduri", + -13.453566551208496 + ], + [ + "▁hijack", + -13.453624725341797 + ], + [ + "zahn", + -13.453699111938477 + ], + [ + "poziția", + -13.45406436920166 + ], + [ + "▁Zähne", + -13.454184532165527 + ], + [ + "▁grossesse", + -13.454296112060547 + ], + [ + "embassy", + -13.4548978805542 + ], + [ + "▁cérémonie", + -13.4548978805542 + ], + [ + "Rhône", + -13.454898834228516 + ], + [ + "▁Cabernet", + -13.454898834228516 + ], + [ + "▁Namibia", + -13.454902648925781 + ], + [ + "▁pedestal", + -13.454902648925781 + ], + [ + "▁Fighting", + -13.45490550994873 + ], + [ + "▁Threat", + -13.454962730407715 + ], + [ + "▁ideological", + -13.455047607421875 + ], + [ + "▁restitu", + -13.455183029174805 + ], + [ + "gelangt", + -13.455510139465332 + ], + [ + "Mitgliedern", + -13.455537796020508 + ], + [ + "acquérir", + -13.455613136291504 + ], + [ + "▁inferioar", + -13.45561695098877 + ], + [ + "Thierry", + -13.455619812011719 + ], + [ + "▁Entspannung", + -13.455638885498047 + ], + [ + "frequency", + -13.45566177368164 + ], + [ + "▁Fluid", + -13.455686569213867 + ], + [ + "▁betreut", + -13.455901145935059 + ], + [ + "Biological", + -13.455965995788574 + ], + [ + "▁Constanţa", + -13.456328392028809 + ], + [ + "▁beschäftigen", + -13.456328392028809 + ], + [ + "▁undesirable", + -13.456328392028809 + ], + [ + "▁protégé", + -13.456365585327148 + ], + [ + "▁nautical", + -13.456474304199219 + ], + [ + "▁sniff", + -13.456507682800293 + ], + [ + "Decizi", + -13.456510543823242 + ], + [ + "▁căldur", + -13.45706558227539 + ], + [ + "▁ideologi", + -13.457335472106934 + ], + [ + "Fraktion", + -13.457545280456543 + ], + [ + "collegiate", + -13.45776081085205 + ], + [ + "▁sănătos", + -13.45776081085205 + ], + [ + "▁Observatory", + -13.45776653289795 + ], + [ + "▁saturation", + -13.457769393920898 + ], + [ + "organizate", + -13.457771301269531 + ], + [ + "mergem", + -13.458321571350098 + ], + [ + "Publish", + -13.458451271057129 + ], + [ + "▁rattle", + -13.458460807800293 + ], + [ + "▁întâlniri", + -13.458663940429688 + ], + [ + "emporte", + -13.458741188049316 + ], + [ + "▁înscris", + -13.459046363830566 + ], + [ + "▁Patterson", + -13.459195137023926 + ], + [ + "▁ehrenamtlich", + -13.459195137023926 + ], + [ + "linux", + -13.459213256835938 + ], + [ + "conduire", + -13.45921802520752 + ], + [ + "▁absolven", + -13.459223747253418 + ], + [ + "▁einzigartig", + -13.459598541259766 + ], + [ + "▁_____", + -13.459803581237793 + ], + [ + "▁Beschäftigung", + -13.459912300109863 + ], + [ + "▁erfasst", + -13.459927558898926 + ], + [ + "▁Datum", + -13.459992408752441 + ], + [ + "raportul", + -13.460284233093262 + ], + [ + "ennemi", + -13.460460662841797 + ], + [ + "default", + -13.460643768310547 + ], + [ + "icillin", + -13.46066951751709 + ], + [ + "▁diamant", + -13.460671424865723 + ], + [ + "amerika", + -13.460684776306152 + ], + [ + "▁pescuit", + -13.46070384979248 + ], + [ + "▁grappl", + -13.460797309875488 + ], + [ + "▁Homeland", + -13.46082592010498 + ], + [ + "▁tromb", + -13.46112060546875 + ], + [ + "▁reduzieren", + -13.461349487304688 + ], + [ + "▁Statut", + -13.461593627929688 + ], + [ + "booming", + -13.461670875549316 + ], + [ + "fenced", + -13.461723327636719 + ], + [ + "measure", + -13.461888313293457 + ], + [ + "témoin", + -13.462069511413574 + ], + [ + "▁Inventory", + -13.462069511413574 + ], + [ + "▁circonstance", + -13.462069511413574 + ], + [ + "▁téléphonique", + -13.462069511413574 + ], + [ + "▁împiedic", + -13.46207046508789 + ], + [ + "▁Settlement", + -13.462072372436523 + ], + [ + "kannte", + -13.462076187133789 + ], + [ + "▁substantive", + -13.462385177612305 + ], + [ + "miterea", + -13.462642669677734 + ], + [ + "▁noştri", + -13.462790489196777 + ], + [ + "▁plăcere", + -13.462791442871094 + ], + [ + "▁eticheta", + -13.462823867797852 + ], + [ + "quickest", + -13.462993621826172 + ], + [ + "▁pasageri", + -13.463089942932129 + ], + [ + "▁Publi", + -13.463495254516602 + ], + [ + "▁Suzanne", + -13.463509559631348 + ], + [ + "▁bucătări", + -13.463509559631348 + ], + [ + "Regulatory", + -13.463510513305664 + ], + [ + "▁Mandarin", + -13.463647842407227 + ], + [ + "surgical", + -13.463947296142578 + ], + [ + "▁Smash", + -13.463950157165527 + ], + [ + "▁mândr", + -13.46403694152832 + ], + [ + "▁Unterkunft", + -13.464315414428711 + ], + [ + "moos", + -13.464374542236328 + ], + [ + "Camere", + -13.464510917663574 + ], + [ + "/03/", + -13.464651107788086 + ], + [ + "▁ethno", + -13.464677810668945 + ], + [ + "▁Eröffnung", + -13.46495246887207 + ], + [ + "▁Snyder", + -13.46495246887207 + ], + [ + "▁Wilmington", + -13.46495246887207 + ], + [ + "▁Canberra", + -13.464953422546387 + ], + [ + "▁Tahoe", + -13.464953422546387 + ], + [ + "▁slippery", + -13.464953422546387 + ], + [ + "▁Snake", + -13.464957237243652 + ], + [ + "▁turmeric", + -13.464963912963867 + ], + [ + "▁Cartoon", + -13.46499252319336 + ], + [ + "▁scrisoare", + -13.46500015258789 + ], + [ + "▁reprend", + -13.465425491333008 + ], + [ + "▁Konkurrenz", + -13.46567440032959 + ], + [ + "▁raisins", + -13.465693473815918 + ], + [ + "▁Werkstatt", + -13.465713500976562 + ], + [ + "▁agresiv", + -13.465795516967773 + ], + [ + "hugs", + -13.46615219116211 + ], + [ + "cazurile", + -13.46618938446045 + ], + [ + "spirited", + -13.466232299804688 + ], + [ + "▁britisch", + -13.466307640075684 + ], + [ + "spritz", + -13.466367721557617 + ], + [ + "auxiliary", + -13.46639633178711 + ], + [ + "interprétation", + -13.46639633178711 + ], + [ + "▁verbindet", + -13.46639633178711 + ], + [ + "▁fuzzy", + -13.466429710388184 + ], + [ + "▁turmoil", + -13.466432571411133 + ], + [ + "▁redefine", + -13.466819763183594 + ], + [ + "▁Kiwi", + -13.466890335083008 + ], + [ + "oiseaux", + -13.46712875366211 + ], + [ + "▁pamper", + -13.467146873474121 + ], + [ + "▁desfaso", + -13.46719741821289 + ], + [ + "▁pragu", + -13.467576026916504 + ], + [ + "prevenirea", + -13.467730522155762 + ], + [ + "▁convergence", + -13.467846870422363 + ], + [ + "tufted", + -13.467878341674805 + ], + [ + "brewed", + -13.467981338500977 + ], + [ + "villagers", + -13.468003273010254 + ], + [ + "▁Irving", + -13.468170166015625 + ], + [ + "nigsten", + -13.468660354614258 + ], + [ + "▁embod", + -13.468742370605469 + ], + [ + "Alicia", + -13.468938827514648 + ], + [ + "probably", + -13.469009399414062 + ], + [ + "divider", + -13.46904468536377 + ], + [ + "Attempt", + -13.469223022460938 + ], + [ + "▁Cognitive", + -13.469292640686035 + ], + [ + "▁Recognition", + -13.469292640686035 + ], + [ + "▁concierge", + -13.469292640686035 + ], + [ + "▁Semester", + -13.4692964553833 + ], + [ + "Economie", + -13.469417572021484 + ], + [ + "sortiment", + -13.469460487365723 + ], + [ + "shortest", + -13.46961498260498 + ], + [ + "üchtig", + -13.469650268554688 + ], + [ + "▁conveyanc", + -13.469978332519531 + ], + [ + "▁Ferdinand", + -13.470017433166504 + ], + [ + "▁permanence", + -13.470019340515137 + ], + [ + "▁incadr", + -13.470145225524902 + ], + [ + "▁estrogen", + -13.470290184020996 + ], + [ + "February", + -13.470661163330078 + ], + [ + "gedeckt", + -13.470704078674316 + ], + [ + "▁reagieren", + -13.470743179321289 + ], + [ + "▁meditate", + -13.470980644226074 + ], + [ + "simulated", + -13.471010208129883 + ], + [ + "▁supprimer", + -13.471468925476074 + ], + [ + "▁bumbac", + -13.47146987915039 + ], + [ + "▁vânzări", + -13.471477508544922 + ], + [ + "▁Kapitel", + -13.471478462219238 + ], + [ + "▁Weltkrieg", + -13.471513748168945 + ], + [ + "déposer", + -13.471674919128418 + ], + [ + "Asus", + -13.4718017578125 + ], + [ + "▁Communicat", + -13.471851348876953 + ], + [ + "Finished", + -13.47188949584961 + ], + [ + "▁Telegraph", + -13.472054481506348 + ], + [ + "▁Competitive", + -13.472196578979492 + ], + [ + "▁collectivités", + -13.472197532653809 + ], + [ + "▁protège", + -13.472199440002441 + ], + [ + "▁scallop", + -13.472219467163086 + ], + [ + "Happy", + -13.472335815429688 + ], + [ + "tehnică", + -13.472352981567383 + ], + [ + "▁Gestalt", + -13.47270393371582 + ], + [ + "▁benign", + -13.47295093536377 + ], + [ + "kraut", + -13.473149299621582 + ], + [ + "louer", + -13.473221778869629 + ], + [ + "▁Printr", + -13.47326946258545 + ], + [ + "mputation", + -13.473346710205078 + ], + [ + "▁dicke", + -13.473429679870605 + ], + [ + "▁Halifax", + -13.473650932312012 + ], + [ + "▁bounty", + -13.473650932312012 + ], + [ + "▁cauliflower", + -13.473650932312012 + ], + [ + "▁Survival", + -13.473654747009277 + ], + [ + "▁Chandler", + -13.473684310913086 + ], + [ + "▁bemüh", + -13.473760604858398 + ], + [ + "phro", + -13.473855972290039 + ], + [ + "Friday", + -13.474018096923828 + ], + [ + "particularly", + -13.474032402038574 + ], + [ + "arteries", + -13.474197387695312 + ], + [ + "Lösung", + -13.474771499633789 + ], + [ + "▁causal", + -13.474817276000977 + ], + [ + "▁recueilli", + -13.475075721740723 + ], + [ + "Stylish", + -13.47510814666748 + ], + [ + "schränke", + -13.47510814666748 + ], + [ + "▁francophone", + -13.47510814666748 + ], + [ + "▁limousine", + -13.47510814666748 + ], + [ + "▁statistiques", + -13.47510814666748 + ], + [ + "▁Kleider", + -13.475111961364746 + ], + [ + "▁dunkel", + -13.475127220153809 + ], + [ + "tätigkeit", + -13.475190162658691 + ], + [ + "▁punished", + -13.475257873535156 + ], + [ + "▁implică", + -13.475539207458496 + ], + [ + "▁inițial", + -13.475568771362305 + ], + [ + "▁Eminescu", + -13.475837707519531 + ], + [ + "▁expliqué", + -13.475837707519531 + ], + [ + "▁Eduard", + -13.475839614868164 + ], + [ + "▁psychologique", + -13.475870132446289 + ], + [ + "▁protejeaz", + -13.476580619812012 + ], + [ + "spül", + -13.476709365844727 + ], + [ + "▁Virtu", + -13.477021217346191 + ], + [ + "▁régulière", + -13.477044105529785 + ], + [ + "▁Outreach", + -13.477130889892578 + ], + [ + "▁Apprentice", + -13.47729778289795 + ], + [ + "▁compréhension", + -13.47729778289795 + ], + [ + "▁zwölf", + -13.47729778289795 + ], + [ + "Surgical", + -13.477315902709961 + ], + [ + "latéral", + -13.477417945861816 + ], + [ + "▁Ceremony", + -13.47803020477295 + ], + [ + "▁Shampoo", + -13.47803783416748 + ], + [ + "Global", + -13.478239059448242 + ], + [ + "▁paradis", + -13.478302955627441 + ], + [ + "Developed", + -13.478493690490723 + ], + [ + "▁figurine", + -13.478549003601074 + ], + [ + "sujets", + -13.478574752807617 + ], + [ + "▁Naomi", + -13.478772163391113 + ], + [ + "financed", + -13.478838920593262 + ], + [ + "forestry", + -13.478896141052246 + ], + [ + "▁Anregung", + -13.479494094848633 + ], + [ + "▁spectateur", + -13.479804039001465 + ], + [ + "▁exercitii", + -13.479815483093262 + ], + [ + "▁russisch", + -13.479888916015625 + ], + [ + "gefunden", + -13.479988098144531 + ], + [ + "schleunig", + -13.480225563049316 + ], + [ + "▁géographique", + -13.480225563049316 + ], + [ + "▁Delphi", + -13.480317115783691 + ], + [ + "Freddie", + -13.4806489944458 + ], + [ + "▁muzici", + -13.480958938598633 + ], + [ + "▁Edmund", + -13.48095989227295 + ], + [ + "finanzielle", + -13.481032371520996 + ], + [ + "(2003)", + -13.481319427490234 + ], + [ + "accentuate", + -13.481437683105469 + ], + [ + "overlapping", + -13.48151969909668 + ], + [ + "▁Pluto", + -13.481595993041992 + ], + [ + "românii", + -13.481683731079102 + ], + [ + "▁Timişoara", + -13.48169231414795 + ], + [ + "▁poivr", + -13.481754302978516 + ], + [ + "▁repris", + -13.481852531433105 + ], + [ + "▁Geschlecht", + -13.482426643371582 + ], + [ + "▁thieves", + -13.482426643371582 + ], + [ + "▁Transformer", + -13.482431411743164 + ], + [ + "▁shortcomings", + -13.482438087463379 + ], + [ + "▁aptitude", + -13.48244571685791 + ], + [ + "pitfalls", + -13.482468605041504 + ], + [ + "▁manicure", + -13.482577323913574 + ], + [ + "mystical", + -13.482723236083984 + ], + [ + "▁abolish", + -13.482833862304688 + ], + [ + "▁Zielgruppe", + -13.482873916625977 + ], + [ + "▁naţionale", + -13.483160972595215 + ], + [ + "▁trandafir", + -13.483160972595215 + ], + [ + "▁matematic", + -13.483193397521973 + ], + [ + "▁Hirsch", + -13.483257293701172 + ], + [ + "Fahr", + -13.483458518981934 + ], + [ + "connaissent", + -13.483476638793945 + ], + [ + "browned", + -13.483846664428711 + ], + [ + "▁bearbeitet", + -13.483881950378418 + ], + [ + "▁usturoi", + -13.483896255493164 + ], + [ + "▁Surprise", + -13.48389720916748 + ], + [ + "▁Tehran", + -13.483899116516113 + ], + [ + "▁BLACK", + -13.483901023864746 + ], + [ + "▁abonament", + -13.483904838562012 + ], + [ + "▁mêl", + -13.483972549438477 + ], + [ + "Angebot", + -13.484091758728027 + ], + [ + "ajungi", + -13.48410415649414 + ], + [ + "▁Woodland", + -13.48420524597168 + ], + [ + "▁gradini", + -13.484305381774902 + ], + [ + "▁Marilyn", + -13.48464584350586 + ], + [ + "kilometer", + -13.484880447387695 + ], + [ + "tempered", + -13.485230445861816 + ], + [ + "▁intimacy", + -13.485371589660645 + ], + [ + "▁thunderstorm", + -13.485373497009277 + ], + [ + "▁Uttar", + -13.485413551330566 + ], + [ + "▁varnish", + -13.485535621643066 + ], + [ + "opathie", + -13.485982894897461 + ], + [ + "▁școlar", + -13.48611068725586 + ], + [ + "▁raisonnable", + -13.486114501953125 + ], + [ + "proactively", + -13.486490249633789 + ], + [ + "▁gib", + -13.486536979675293 + ], + [ + "▁hospice", + -13.48684310913086 + ], + [ + "▁constă", + -13.486896514892578 + ], + [ + "▁Crescent", + -13.48690128326416 + ], + [ + "▁ambasad", + -13.486933708190918 + ], + [ + "hotărâre", + -13.486969947814941 + ], + [ + "▁fraîche", + -13.48709774017334 + ], + [ + "▁bundesweit", + -13.487581253051758 + ], + [ + "nsbesondere", + -13.487812042236328 + ], + [ + "▁intoarce", + -13.487863540649414 + ], + [ + "▁Schokolade", + -13.488319396972656 + ], + [ + "▁adjective", + -13.488319396972656 + ], + [ + "▁incalzire", + -13.488319396972656 + ], + [ + "▁Qualification", + -13.488320350646973 + ], + [ + "▁Bolivia", + -13.488324165344238 + ], + [ + "▁cruelty", + -13.488334655761719 + ], + [ + "pläne", + -13.48834228515625 + ], + [ + "▁solitude", + -13.488354682922363 + ], + [ + "▁Bosnia", + -13.488568305969238 + ], + [ + "rohr", + -13.488643646240234 + ], + [ + "▁regrette", + -13.48877239227295 + ], + [ + "zusammengestellt", + -13.48924732208252 + ], + [ + "▁Kardashian", + -13.489798545837402 + ], + [ + "▁Picasso", + -13.489798545837402 + ], + [ + "▁unverbindlich", + -13.489798545837402 + ], + [ + "▁Headquarters", + -13.489799499511719 + ], + [ + "métrage", + -13.4898099899292 + ], + [ + "▁Magento", + -13.489816665649414 + ], + [ + "▁exhibitors", + -13.489898681640625 + ], + [ + "utty", + -13.490381240844727 + ], + [ + "▁Fünf", + -13.490538597106934 + ], + [ + "▁Peugeot", + -13.490538597106934 + ], + [ + "▁verdienen", + -13.490538597106934 + ], + [ + "▁absolviert", + -13.49053955078125 + ], + [ + "schutzerklärung", + -13.490679740905762 + ], + [ + "sistemele", + -13.49089241027832 + ], + [ + "▁concrète", + -13.491279602050781 + ], + [ + "▁rhyme", + -13.491279602050781 + ], + [ + "▁Continuous", + -13.49128246307373 + ], + [ + "versprechen", + -13.491312026977539 + ], + [ + "▁Melanie", + -13.49202823638916 + ], + [ + "▁clienţi", + -13.492046356201172 + ], + [ + "luckily", + -13.492205619812012 + ], + [ + "▁counterfeit", + -13.492762565612793 + ], + [ + "▁locomotive", + -13.492889404296875 + ], + [ + "▁reacți", + -13.492908477783203 + ], + [ + "ampered", + -13.493005752563477 + ], + [ + "atenția", + -13.493011474609375 + ], + [ + "Suppose", + -13.493062973022461 + ], + [ + "hinweis", + -13.493464469909668 + ], + [ + "verletzung", + -13.493504524230957 + ], + [ + "▁mănânc", + -13.493504524230957 + ], + [ + "▁provoac", + -13.493507385253906 + ], + [ + "▁regizor", + -13.493511199951172 + ], + [ + "kundig", + -13.49352741241455 + ], + [ + "embarqu", + -13.493584632873535 + ], + [ + "Radio", + -13.493690490722656 + ], + [ + "Ministrul", + -13.493896484375 + ], + [ + "weakened", + -13.494214057922363 + ], + [ + "▁translucent", + -13.494247436523438 + ], + [ + "George", + -13.494380950927734 + ], + [ + "▁bacterii", + -13.494402885437012 + ], + [ + "intervalul", + -13.494803428649902 + ], + [ + "▁vizualiz", + -13.494832038879395 + ], + [ + "▁Feuchtigkeit", + -13.494991302490234 + ], + [ + "▁choisissez", + -13.494991302490234 + ], + [ + "▁plausible", + -13.494991302490234 + ], + [ + "▁perpetu", + -13.495122909545898 + ], + [ + "▁bucati", + -13.495194435119629 + ], + [ + "▁Giovanni", + -13.495735168457031 + ], + [ + "▁bluetooth", + -13.495736122131348 + ], + [ + "▁translating", + -13.49573802947998 + ], + [ + "▁Kyoto", + -13.495739936828613 + ], + [ + "▁homosexual", + -13.495745658874512 + ], + [ + "treabă", + -13.495820045471191 + ], + [ + "ntrepid", + -13.495983123779297 + ], + [ + "▁fachlich", + -13.496664047241211 + ], + [ + "Vaccin", + -13.496774673461914 + ], + [ + "▁Treib", + -13.497248649597168 + ], + [ + "varsity", + -13.497272491455078 + ], + [ + "▁Tavern", + -13.497278213500977 + ], + [ + "▁ensue", + -13.497330665588379 + ], + [ + "flexibel", + -13.497971534729004 + ], + [ + "retrieved", + -13.498102188110352 + ], + [ + "traditionellen", + -13.498230934143066 + ], + [ + "▁circulati", + -13.498546600341797 + ], + [ + "▁Diagnose", + -13.498717308044434 + ], + [ + "▁Strawberry", + -13.498717308044434 + ], + [ + "Societatea", + -13.49871826171875 + ], + [ + "expertise", + -13.498849868774414 + ], + [ + "▁naturii", + -13.499464988708496 + ], + [ + "▁4:1", + -13.499515533447266 + ], + [ + "Frequently", + -13.500210762023926 + ], + [ + "disproportionate", + -13.500210762023926 + ], + [ + "▁LIMITED", + -13.500210762023926 + ], + [ + "▁ancestral", + -13.500227928161621 + ], + [ + "▁Logistik", + -13.500237464904785 + ], + [ + "▁recolt", + -13.50042724609375 + ], + [ + "▁liebevoll", + -13.500436782836914 + ], + [ + "importing", + -13.500452041625977 + ], + [ + "aparatul", + -13.500458717346191 + ], + [ + "poziţia", + -13.500564575195312 + ], + [ + "facerilor", + -13.500658988952637 + ], + [ + "Submitted", + -13.50086784362793 + ], + [ + "ografia", + -13.501221656799316 + ], + [ + "onformément", + -13.50168228149414 + ], + [ + "▁dissemination", + -13.501708030700684 + ], + [ + "afli", + -13.501834869384766 + ], + [ + "luminous", + -13.502154350280762 + ], + [ + "▁draußen", + -13.502456665039062 + ], + [ + "▁Zauber", + -13.502535820007324 + ], + [ + "▁Ibrahim", + -13.503207206726074 + ], + [ + "▁eruption", + -13.503216743469238 + ], + [ + "écrite", + -13.50357723236084 + ], + [ + "avril", + -13.503898620605469 + ], + [ + "Increasing", + -13.504171371459961 + ], + [ + "hingeg", + -13.504411697387695 + ], + [ + "fidelity", + -13.504707336425781 + ], + [ + "étonnant", + -13.504707336425781 + ], + [ + "▁créativité", + -13.504707336425781 + ], + [ + "▁Required", + -13.504708290100098 + ], + [ + "▁Edison", + -13.504719734191895 + ], + [ + "▁Stuhl", + -13.504719734191895 + ], + [ + "outhwestern", + -13.506060600280762 + ], + [ + "▁Beschwerden", + -13.506210327148438 + ], + [ + "▁angajaţi", + -13.506210327148438 + ], + [ + "▁Currency", + -13.506211280822754 + ], + [ + "▁reagiert", + -13.506214141845703 + ], + [ + "Science", + -13.506229400634766 + ], + [ + "hospital", + -13.506253242492676 + ], + [ + "professionellen", + -13.50649356842041 + ], + [ + "▁Trouve", + -13.506768226623535 + ], + [ + "▁utopi", + -13.50683307647705 + ], + [ + "gypte", + -13.506928443908691 + ], + [ + "▁Konsequenz", + -13.506962776184082 + ], + [ + "▁pacienți", + -13.506962776184082 + ], + [ + "▁orizont", + -13.506988525390625 + ], + [ + "Corey", + -13.506999015808105 + ], + [ + "▁quartet", + -13.507009506225586 + ], + [ + "▁Sherlock", + -13.50710678100586 + ], + [ + "▁gagné", + -13.507237434387207 + ], + [ + "▁Jusqu", + -13.50732707977295 + ], + [ + "▁Clickfunnel", + -13.507465362548828 + ], + [ + "Survivor", + -13.507716178894043 + ], + [ + "▁Beethoven", + -13.507716178894043 + ], + [ + "▁Exemplar", + -13.507716178894043 + ], + [ + "▁Gonzalez", + -13.507716178894043 + ], + [ + "▁Illustrator", + -13.507716178894043 + ], + [ + "▁Verpflichtung", + -13.507718086242676 + ], + [ + "Possibly", + -13.507719993591309 + ], + [ + "Maintenant", + -13.507721900939941 + ], + [ + "▁incendiu", + -13.507721900939941 + ], + [ + "▁poêl", + -13.507747650146484 + ], + [ + "▁aşez", + -13.507757186889648 + ], + [ + "phenol", + -13.508248329162598 + ], + [ + "▁magician", + -13.508421897888184 + ], + [ + "éventuellement", + -13.508512496948242 + ], + [ + "▁amortiz", + -13.508736610412598 + ], + [ + "bouchage", + -13.50873851776123 + ], + [ + "▁Accommodation", + -13.509223937988281 + ], + [ + "▁Significant", + -13.509223937988281 + ], + [ + "▁rejoice", + -13.509223937988281 + ], + [ + "▁Lorraine", + -13.509224891662598 + ], + [ + "▁Necklace", + -13.509234428405762 + ], + [ + "▁hamburger", + -13.509273529052734 + ], + [ + "Enhanced", + -13.5095796585083 + ], + [ + "▁Audrey", + -13.509978294372559 + ], + [ + "▁considère", + -13.509986877441406 + ], + [ + "hafen", + -13.51050853729248 + ], + [ + "acordare", + -13.510509490966797 + ], + [ + "▁ediți", + -13.51075553894043 + ], + [ + "▁militia", + -13.510767936706543 + ], + [ + "captivate", + -13.510771751403809 + ], + [ + "▁rebellion", + -13.510777473449707 + ], + [ + "▁veranstalte", + -13.510844230651855 + ], + [ + "▁matelas", + -13.510859489440918 + ], + [ + "originating", + -13.510873794555664 + ], + [ + "Typical", + -13.51092529296875 + ], + [ + "▁législat", + -13.511360168457031 + ], + [ + "▁Kräfte", + -13.511488914489746 + ], + [ + "▁Eigentümer", + -13.511489868164062 + ], + [ + "▁gonfl", + -13.511608123779297 + ], + [ + "dispoziție", + -13.512028694152832 + ], + [ + "▁Fabulous", + -13.512246131896973 + ], + [ + "▁Guillaume", + -13.512246131896973 + ], + [ + "▁Genuine", + -13.512247085571289 + ], + [ + "selbe", + -13.512449264526367 + ], + [ + "(2002)", + -13.512616157531738 + ], + [ + "Einen", + -13.512908935546875 + ], + [ + "▁Snapdragon", + -13.513002395629883 + ], + [ + "▁plagiarism", + -13.513002395629883 + ], + [ + "▁Rendez", + -13.513019561767578 + ], + [ + "▁înregistrare", + -13.513033866882324 + ], + [ + "probiert", + -13.513081550598145 + ], + [ + "gestiegen", + -13.513153076171875 + ], + [ + "Teatrul", + -13.513370513916016 + ], + [ + "trove", + -13.513469696044922 + ], + [ + "ntsprechend", + -13.513566017150879 + ], + [ + "Städten", + -13.513691902160645 + ], + [ + "unforeseen", + -13.513760566711426 + ], + [ + "▁Meridian", + -13.513761520385742 + ], + [ + "▁Ministries", + -13.513763427734375 + ], + [ + "plaît", + -13.513769149780273 + ], + [ + "▁Telefonnummer", + -13.513772010803223 + ], + [ + "welded", + -13.513788223266602 + ], + [ + "pondere", + -13.513976097106934 + ], + [ + "▁funcţiona", + -13.514012336730957 + ], + [ + "▁politicieni", + -13.514187812805176 + ], + [ + "fleck", + -13.514240264892578 + ], + [ + "▁Nitro", + -13.514264106750488 + ], + [ + "wettbewerb", + -13.514518737792969 + ], + [ + "▁ingrijire", + -13.514518737792969 + ], + [ + "▁Gehirn", + -13.514521598815918 + ], + [ + "sigură", + -13.514904022216797 + ], + [ + "400,000", + -13.515237808227539 + ], + [ + "▁cataract", + -13.515277862548828 + ], + [ + "outskirt", + -13.515280723571777 + ], + [ + "▁Identification", + -13.515287399291992 + ], + [ + "▁imperfections", + -13.515317916870117 + ], + [ + "▁Dokumentation", + -13.515474319458008 + ], + [ + "Engine", + -13.515851974487305 + ], + [ + "extindere", + -13.516046524047852 + ], + [ + "bijoux", + -13.516797065734863 + ], + [ + "▁dărui", + -13.516802787780762 + ], + [ + "▁Moderator", + -13.516913414001465 + ], + [ + "biblio", + -13.517024040222168 + ], + [ + "енн", + -13.517024040222168 + ], + [ + "▁Relevan", + -13.51728630065918 + ], + [ + "ansprüche", + -13.517557144165039 + ], + [ + "épaisseur", + -13.517580032348633 + ], + [ + "▁emoţi", + -13.517677307128906 + ], + [ + "exacerbate", + -13.518318176269531 + ], + [ + "▁Wimbledon", + -13.518318176269531 + ], + [ + "▁Pandora", + -13.518319129943848 + ], + [ + "perhaps", + -13.518725395202637 + ], + [ + "certify", + -13.518762588500977 + ], + [ + "Strukturen", + -13.5189208984375 + ], + [ + "▁Kreativität", + -13.519079208374023 + ], + [ + "schlägt", + -13.51908016204834 + ], + [ + "▁certifié", + -13.51911735534668 + ], + [ + "/09/", + -13.519211769104004 + ], + [ + "▁suprafaţ", + -13.519493103027344 + ], + [ + "verständnis", + -13.519841194152832 + ], + [ + "presedintele", + -13.519842147827148 + ], + [ + "▁orthopedic", + -13.519842147827148 + ], + [ + "▁superioara", + -13.519843101501465 + ], + [ + "älteste", + -13.519903182983398 + ], + [ + "▁conducător", + -13.520153999328613 + ], + [ + "supplementary", + -13.520243644714355 + ], + [ + "wetlands", + -13.520438194274902 + ], + [ + "▁suprafete", + -13.520605087280273 + ], + [ + "▁aparțin", + -13.520951271057129 + ], + [ + "analiză", + -13.521014213562012 + ], + [ + "Uneori", + -13.52115535736084 + ], + [ + "Toujours", + -13.521368026733398 + ], + [ + "▁Nairobi", + -13.521368026733398 + ], + [ + "▁asparagus", + -13.521368026733398 + ], + [ + "▁crowdfunding", + -13.521368026733398 + ], + [ + "gutachten", + -13.521369934082031 + ], + [ + "smelling", + -13.521659851074219 + ], + [ + "▁elektrisch", + -13.521718978881836 + ], + [ + "begging", + -13.522055625915527 + ], + [ + "▁Renewable", + -13.522896766662598 + ], + [ + "▁Trouble", + -13.522896766662598 + ], + [ + "▁devastated", + -13.522896766662598 + ], + [ + "▁remplacé", + -13.522896766662598 + ], + [ + "▁schmeckt", + -13.522896766662598 + ], + [ + "▁exerciți", + -13.523005485534668 + ], + [ + "▁vermute", + -13.523650169372559 + ], + [ + "▁Constanța", + -13.523661613464355 + ], + [ + "expunere", + -13.523693084716797 + ], + [ + "▁Fitzgerald", + -13.52442741394043 + ], + [ + "▁Mechanism", + -13.524429321289062 + ], + [ + "▁underscore", + -13.524484634399414 + ], + [ + "poziţie", + -13.524901390075684 + ], + [ + "stöbern", + -13.525193214416504 + ], + [ + "▁littérature", + -13.525193214416504 + ], + [ + "▁împrumut", + -13.525193214416504 + ], + [ + "Vision", + -13.525771141052246 + ], + [ + "▁overwhelm", + -13.525773048400879 + ], + [ + "▁erweitern", + -13.525959968566895 + ], + [ + "skeletal", + -13.525960922241211 + ], + [ + "▁terrified", + -13.525960922241211 + ], + [ + "aggravate", + -13.525962829589844 + ], + [ + "▁Malawi", + -13.525969505310059 + ], + [ + "▁neuroscience", + -13.526009559631348 + ], + [ + "trecută", + -13.526097297668457 + ], + [ + "▁maestr", + -13.52634334564209 + ], + [ + "нов", + -13.526555061340332 + ], + [ + "▁Cobb", + -13.52667236328125 + ], + [ + "▁Schwangerschaft", + -13.526727676391602 + ], + [ + "▁internationaux", + -13.526727676391602 + ], + [ + "▁entspannen", + -13.526729583740234 + ], + [ + "▁Früchte", + -13.52676773071289 + ], + [ + "mâine", + -13.526805877685547 + ], + [ + "stützt", + -13.526938438415527 + ], + [ + "flipped", + -13.527076721191406 + ], + [ + "Palatul", + -13.527252197265625 + ], + [ + "▁Gérard", + -13.527496337890625 + ], + [ + "▁Kensington", + -13.527498245239258 + ], + [ + "chargée", + -13.52807331085205 + ], + [ + "iolo", + -13.528203964233398 + ], + [ + "▁excesiv", + -13.52904987335205 + ], + [ + "▁Gymnas", + -13.52962875366211 + ], + [ + "▁optimise", + -13.529678344726562 + ], + [ + "possibilités", + -13.529717445373535 + ], + [ + "▁periculoas", + -13.529810905456543 + ], + [ + "mechanical", + -13.529839515686035 + ], + [ + "▁confruntă", + -13.529868125915527 + ], + [ + "quatrième", + -13.530573844909668 + ], + [ + "▁Preservation", + -13.530573844909668 + ], + [ + "▁Juventus", + -13.530574798583984 + ], + [ + "vorsitzende", + -13.5305757522583 + ], + [ + "électora", + -13.530586242675781 + ], + [ + "▁fascinant", + -13.53061580657959 + ], + [ + "▁lagoon", + -13.530671119689941 + ], + [ + "referencing", + -13.53079605102539 + ], + [ + "appointed", + -13.530988693237305 + ], + [ + "Audible", + -13.531112670898438 + ], + [ + "sighted", + -13.531612396240234 + ], + [ + "▁gewünscht", + -13.532061576843262 + ], + [ + "▁Expedition", + -13.532115936279297 + ], + [ + "▁genunchi", + -13.532115936279297 + ], + [ + "▁PROVIDE", + -13.53211784362793 + ], + [ + "▁rosemary", + -13.532118797302246 + ], + [ + "▁cleanliness", + -13.532130241394043 + ], + [ + "commanded", + -13.53223991394043 + ], + [ + "ältere", + -13.532530784606934 + ], + [ + "ност", + -13.532547950744629 + ], + [ + "kühlen", + -13.532917976379395 + ], + [ + "mettez", + -13.533548355102539 + ], + [ + "connaitre", + -13.533661842346191 + ], + [ + "Qaeda", + -13.533662796020508 + ], + [ + "▁traumhaft", + -13.53366470336914 + ], + [ + "kommst", + -13.533666610717773 + ], + [ + "▁Abbott", + -13.533669471740723 + ], + [ + "▁Fool", + -13.533686637878418 + ], + [ + "▁médaill", + -13.533687591552734 + ], + [ + "▁genotyp", + -13.533693313598633 + ], + [ + "▁Fälle", + -13.53375244140625 + ], + [ + "▁actuator", + -13.533843994140625 + ], + [ + "CLASS", + -13.534042358398438 + ], + [ + "progressively", + -13.534421920776367 + ], + [ + "negative", + -13.53469467163086 + ], + [ + "bundled", + -13.535009384155273 + ], + [ + "▁dezbatere", + -13.535208702087402 + ], + [ + "kamagra", + -13.535237312316895 + ], + [ + "gardinen", + -13.535250663757324 + ], + [ + "unsecured", + -13.535271644592285 + ], + [ + "Assisted", + -13.535298347473145 + ], + [ + "Gymnasium", + -13.535386085510254 + ], + [ + "▁brusc", + -13.535591125488281 + ], + [ + "prinzip", + -13.535655975341797 + ], + [ + "Torrent", + -13.535964965820312 + ], + [ + "Presented", + -13.535967826843262 + ], + [ + "▁impressionnant", + -13.53628921508789 + ], + [ + "charakter", + -13.536758422851562 + ], + [ + "▁Acoustic", + -13.536762237548828 + ], + [ + "▁appartient", + -13.536763191223145 + ], + [ + "gesteuert", + -13.536879539489746 + ], + [ + "▁condiți", + -13.537089347839355 + ], + [ + "authentic", + -13.537313461303711 + ], + [ + "▁Erholung", + -13.537534713745117 + ], + [ + "▁Veranstalter", + -13.537534713745117 + ], + [ + "▁Filial", + -13.537665367126465 + ], + [ + "ruhigen", + -13.537714958190918 + ], + [ + "symptôme", + -13.538311004638672 + ], + [ + "▁Efficiency", + -13.538311004638672 + ], + [ + "▁stunned", + -13.538311004638672 + ], + [ + "▁sympathique", + -13.538311004638672 + ], + [ + "Uploaded", + -13.538352966308594 + ], + [ + "▁geistig", + -13.538453102111816 + ], + [ + "Pläne", + -13.538509368896484 + ], + [ + "▁Apartament", + -13.53855037689209 + ], + [ + "▁ușoar", + -13.539119720458984 + ], + [ + "▁locuinț", + -13.539122581481934 + ], + [ + "épouse", + -13.539166450500488 + ], + [ + "îngrijire", + -13.539215087890625 + ], + [ + "Obtain", + -13.539261817932129 + ], + [ + "Detect", + -13.539590835571289 + ], + [ + "▁Dumitru", + -13.539865493774414 + ], + [ + "▁refrigeration", + -13.539865493774414 + ], + [ + "ärztliche", + -13.539881706237793 + ], + [ + "efficiency", + -13.540032386779785 + ], + [ + "▁snail", + -13.540328979492188 + ], + [ + "gelände", + -13.540419578552246 + ], + [ + "expected", + -13.540620803833008 + ], + [ + "kompetenz", + -13.540643692016602 + ], + [ + "▁sfânt", + -13.540643692016602 + ], + [ + "océan", + -13.540685653686523 + ], + [ + "▁Plasma", + -13.540717124938965 + ], + [ + "▁vulgar", + -13.54075813293457 + ], + [ + "▁slump", + -13.541083335876465 + ], + [ + "autoimmune", + -13.541422843933105 + ], + [ + "▁Cynthia", + -13.541422843933105 + ], + [ + "▁dimineaţ", + -13.541422843933105 + ], + [ + "▁whimsical", + -13.541422843933105 + ], + [ + "▁evaporate", + -13.541488647460938 + ], + [ + "▁calorii", + -13.54186725616455 + ], + [ + "portion", + -13.54187297821045 + ], + [ + "crowned", + -13.5419282913208 + ], + [ + "▁întâmpin", + -13.54220199584961 + ], + [ + "▁Centenar", + -13.542620658874512 + ], + [ + "▁Genehmigung", + -13.54298210144043 + ], + [ + "▁Wahrscheinlich", + -13.54298210144043 + ], + [ + "▁accompaniment", + -13.54298210144043 + ], + [ + "▁Negoti", + -13.542984962463379 + ], + [ + "▁Vanilla", + -13.543000221252441 + ], + [ + "▁Receiv", + -13.543014526367188 + ], + [ + "▁bestseller", + -13.543052673339844 + ], + [ + "tendons", + -13.543069839477539 + ], + [ + "Reilly", + -13.543192863464355 + ], + [ + "▁refroidi", + -13.543731689453125 + ], + [ + "▁überrascht", + -13.543763160705566 + ], + [ + "Gitarre", + -13.543828964233398 + ], + [ + "wände", + -13.544173240661621 + ], + [ + "veniturile", + -13.544321060180664 + ], + [ + "▁portofoliu", + -13.54454517364502 + ], + [ + "▁temporaire", + -13.54454517364502 + ], + [ + "▁Dawson", + -13.544546127319336 + ], + [ + "foreseeable", + -13.544547080993652 + ], + [ + "▁Gastgeber", + -13.545344352722168 + ], + [ + "Access", + -13.545432090759277 + ], + [ + "▁Defender", + -13.545537948608398 + ], + [ + "▁Quarry", + -13.546109199523926 + ], + [ + "▁trolley", + -13.546110153198242 + ], + [ + "▁carburant", + -13.546111106872559 + ], + [ + "▁titluri", + -13.54631233215332 + ], + [ + "comparatively", + -13.546327590942383 + ], + [ + "nachfolgend", + -13.54659652709961 + ], + [ + "anfang", + -13.546740531921387 + ], + [ + "▁faszinieren", + -13.546891212463379 + ], + [ + "trăiesc", + -13.547082901000977 + ], + [ + "▁Travail", + -13.547159194946289 + ], + [ + "Contact", + -13.547235488891602 + ], + [ + "fashion", + -13.547245025634766 + ], + [ + "▁épais", + -13.547585487365723 + ], + [ + "plattform", + -13.547676086425781 + ], + [ + "ventricular", + -13.547677040100098 + ], + [ + "▁Portsmouth", + -13.547677993774414 + ], + [ + "▁împărat", + -13.54767894744873 + ], + [ + "▁vândut", + -13.547698020935059 + ], + [ + "▁evidenț", + -13.547708511352539 + ], + [ + "Purchasing", + -13.547877311706543 + ], + [ + "discerning", + -13.54804801940918 + ], + [ + "odonti", + -13.548080444335938 + ], + [ + "distilled", + -13.548316955566406 + ], + [ + "saveur", + -13.548447608947754 + ], + [ + "▁récompense", + -13.54845905303955 + ], + [ + "confortul", + -13.548552513122559 + ], + [ + "arbeitete", + -13.548787117004395 + ], + [ + "partenerii", + -13.549064636230469 + ], + [ + "mirrored", + -13.54908561706543 + ], + [ + "Dienstleister", + -13.549243927001953 + ], + [ + "▁Jakarta", + -13.549243927001953 + ], + [ + "▁WEBSITE", + -13.549243927001953 + ], + [ + "▁Acquisition", + -13.549262046813965 + ], + [ + "▁Miranda", + -13.549287796020508 + ], + [ + "Syndic", + -13.549356460571289 + ], + [ + "▁stadiu", + -13.549450874328613 + ], + [ + "▁Parchet", + -13.549498558044434 + ], + [ + "Générale", + -13.54954719543457 + ], + [ + "▁jpl", + -13.549579620361328 + ], + [ + "attainable", + -13.549949645996094 + ], + [ + "École", + -13.550041198730469 + ], + [ + "Sphere", + -13.550538063049316 + ], + [ + "obtainable", + -13.550592422485352 + ], + [ + "▁Sapphire", + -13.55081558227539 + ], + [ + "▁aérienne", + -13.55081558227539 + ], + [ + "▁bărbați", + -13.55081558227539 + ], + [ + "▁irritating", + -13.55081558227539 + ], + [ + "▁ultraviolet", + -13.550816535949707 + ], + [ + "untouched", + -13.550817489624023 + ], + [ + "▁Ramsey", + -13.550819396972656 + ], + [ + "titres", + -13.551087379455566 + ], + [ + "▁Coordinat", + -13.551218032836914 + ], + [ + "believable", + -13.551358222961426 + ], + [ + "▁Grundsätzlich", + -13.551602363586426 + ], + [ + "▁konsequent", + -13.551602363586426 + ], + [ + "▁Cerceta", + -13.551909446716309 + ], + [ + "dirigé", + -13.552116394042969 + ], + [ + "▁disturb", + -13.552151679992676 + ], + [ + "conciliation", + -13.552210807800293 + ], + [ + "▁gelöscht", + -13.552390098571777 + ], + [ + "▁sauvegarde", + -13.552391052246094 + ], + [ + "▁cavities", + -13.552393913269043 + ], + [ + "stunde", + -13.55241584777832 + ], + [ + "▁foloseasc", + -13.552430152893066 + ], + [ + "▁simpati", + -13.552873611450195 + ], + [ + "Chacun", + -13.553032875061035 + ], + [ + "adversaire", + -13.553178787231445 + ], + [ + "Eigentlich", + -13.55319881439209 + ], + [ + "defense", + -13.553593635559082 + ], + [ + "consider", + -13.553672790527344 + ], + [ + "▁Trinidad", + -13.553966522216797 + ], + [ + "▁strategist", + -13.553966522216797 + ], + [ + "distorted", + -13.553967475891113 + ], + [ + "▁hypothetical", + -13.553967475891113 + ], + [ + "▁ramburs", + -13.55396842956543 + ], + [ + "▁Mallorca", + -13.553970336914062 + ], + [ + "▁Domino", + -13.554018020629883 + ], + [ + "arrondissement", + -13.554756164550781 + ], + [ + "konferenz", + -13.554756164550781 + ], + [ + "▁Beleuchtung", + -13.554756164550781 + ], + [ + "aggregat", + -13.55484676361084 + ], + [ + "subsidize", + -13.554896354675293 + ], + [ + "shri", + -13.555503845214844 + ], + [ + "Kaufentscheidung", + -13.555545806884766 + ], + [ + "▁Hernandez", + -13.555545806884766 + ], + [ + "▁Upholster", + -13.555546760559082 + ], + [ + "atlantic", + -13.555614471435547 + ], + [ + "▁locuinte", + -13.555652618408203 + ], + [ + "integrates", + -13.55583381652832 + ], + [ + "ewusst", + -13.555878639221191 + ], + [ + "▁Avocado", + -13.556337356567383 + ], + [ + "Decorative", + -13.557014465332031 + ], + [ + "▁Corinthians", + -13.557127952575684 + ], + [ + "▁clădire", + -13.557127952575684 + ], + [ + "▁plomberie", + -13.557127952575684 + ], + [ + "vases", + -13.557143211364746 + ], + [ + "▁crippl", + -13.557247161865234 + ], + [ + "cluttered", + -13.557487487792969 + ], + [ + "departed", + -13.557807922363281 + ], + [ + "▁entscheidet", + -13.5579195022583 + ], + [ + "Certaine", + -13.558243751525879 + ], + [ + "honda", + -13.558294296264648 + ], + [ + "triggering", + -13.558527946472168 + ], + [ + "▁Erdogan", + -13.558712005615234 + ], + [ + "▁Widerstand", + -13.558712005615234 + ], + [ + "▁Bhutan", + -13.558713912963867 + ], + [ + "▁ascunde", + -13.558736801147461 + ], + [ + "▁shading", + -13.558748245239258 + ], + [ + "behavioural", + -13.559172630310059 + ], + [ + "▁transfér", + -13.55960750579834 + ], + [ + "versichert", + -13.559623718261719 + ], + [ + "▁vinovat", + -13.559646606445312 + ], + [ + "▁airfare", + -13.560142517089844 + ], + [ + "▁simplistic", + -13.56030559539795 + ], + [ + "▁Asigura", + -13.560320854187012 + ], + [ + "Chauffe", + -13.560480117797852 + ], + [ + "scrisă", + -13.560585975646973 + ], + [ + "trouvez", + -13.560702323913574 + ], + [ + "greasy", + -13.560709953308105 + ], + [ + "bottled", + -13.560809135437012 + ], + [ + "grouped", + -13.560934066772461 + ], + [ + "▁beeinflussen", + -13.561092376708984 + ], + [ + "▁chronological", + -13.561114311218262 + ], + [ + "(2000)", + -13.56127643585205 + ], + [ + "sheltered", + -13.561298370361328 + ], + [ + "Historically", + -13.561931610107422 + ], + [ + "piled", + -13.562012672424316 + ], + [ + "publicate", + -13.562378883361816 + ], + [ + "▁étudié", + -13.56268310546875 + ], + [ + "▁vertraut", + -13.562688827514648 + ], + [ + "▁Anpassung", + -13.562697410583496 + ], + [ + "cifra", + -13.562705993652344 + ], + [ + "▁recueil", + -13.562762260437012 + ], + [ + "enforceable", + -13.563183784484863 + ], + [ + "Distinguished", + -13.56347942352295 + ], + [ + "Empfänger", + -13.56347942352295 + ], + [ + "▁Acrylic", + -13.56347942352295 + ], + [ + "▁Encyclopedia", + -13.56347942352295 + ], + [ + "▁proaspete", + -13.56347942352295 + ], + [ + "▁unrealistic", + -13.56347942352295 + ], + [ + "▁Assignment", + -13.563481330871582 + ], + [ + "▁incubator", + -13.563491821289062 + ], + [ + "▁unilateral", + -13.563501358032227 + ], + [ + "elasticity", + -13.564398765563965 + ], + [ + "amintim", + -13.564475059509277 + ], + [ + "fournit", + -13.564553260803223 + ], + [ + "semblent", + -13.564763069152832 + ], + [ + "▁$69.", + -13.56496524810791 + ], + [ + "▁prominence", + -13.56507396697998 + ], + [ + "Übertragung", + -13.565075874328613 + ], + [ + "▁2014-11-", + -13.565075874328613 + ], + [ + "▁Giurgiu", + -13.565104484558105 + ], + [ + "étendue", + -13.565123558044434 + ], + [ + "ceputul", + -13.565187454223633 + ], + [ + "Schwierigkeiten", + -13.565872192382812 + ], + [ + "▁subtract", + -13.565881729125977 + ], + [ + "▁gesichert", + -13.56589126586914 + ], + [ + "▁uimit", + -13.565925598144531 + ], + [ + "▁mensuel", + -13.565967559814453 + ], + [ + "Vorgaben", + -13.566215515136719 + ], + [ + "▁legitimacy", + -13.566670417785645 + ], + [ + "▁Kendall", + -13.566673278808594 + ], + [ + "▁détach", + -13.566790580749512 + ], + [ + "▁kennenlernen", + -13.567469596862793 + ], + [ + "▁gewöhnlich", + -13.56747055053711 + ], + [ + "Octav", + -13.567917823791504 + ], + [ + "responsive", + -13.568169593811035 + ], + [ + "▁Mängel", + -13.568269729614258 + ], + [ + "▁mișcare", + -13.568269729614258 + ], + [ + "▁ludique", + -13.568270683288574 + ], + [ + "▁Exeter", + -13.568324089050293 + ], + [ + "▁respins", + -13.569114685058594 + ], + [ + "oraşului", + -13.569173812866211 + ], + [ + "▁sfârşit", + -13.56949520111084 + ], + [ + "BUSINESS", + -13.56987190246582 + ], + [ + "illustrating", + -13.56987190246582 + ], + [ + "▁Tottenham", + -13.56987190246582 + ], + [ + "▁pruning", + -13.569886207580566 + ], + [ + "▁Înainte", + -13.569904327392578 + ], + [ + "▁interesel", + -13.570096969604492 + ], + [ + "discovered", + -13.57031536102295 + ], + [ + "(0)", + -13.570572853088379 + ], + [ + "▁Bewerber", + -13.570673942565918 + ], + [ + "▁DESIGN", + -13.570673942565918 + ], + [ + "▁Orientierung", + -13.570686340332031 + ], + [ + "library", + -13.571041107177734 + ], + [ + "cheltuielile", + -13.571419715881348 + ], + [ + "▁Canterbury", + -13.571475982666016 + ], + [ + "▁intellectuelle", + -13.571477890014648 + ], + [ + "▁amalgam", + -13.571497917175293 + ], + [ + "▁Toledo", + -13.57150650024414 + ], + [ + "gezahlt", + -13.571531295776367 + ], + [ + "Veronica", + -13.571659088134766 + ], + [ + "deleting", + -13.571946144104004 + ], + [ + "▁Merlin", + -13.572442054748535 + ], + [ + "▁opérationnel", + -13.572554588317871 + ], + [ + "schmutz", + -13.572568893432617 + ], + [ + "hyroid", + -13.57279109954834 + ], + [ + "▁Compatible", + -13.57308292388916 + ], + [ + "▁Leopard", + -13.57308292388916 + ], + [ + "▁cylindrical", + -13.57308292388916 + ], + [ + "▁terrestrial", + -13.57308292388916 + ], + [ + "conferencing", + -13.573088645935059 + ], + [ + "▁Variety", + -13.573097229003906 + ], + [ + "▁Screw", + -13.573164939880371 + ], + [ + "character", + -13.573637962341309 + ], + [ + "shortened", + -13.573643684387207 + ], + [ + "▁întrerup", + -13.573736190795898 + ], + [ + "freude", + -13.573884010314941 + ], + [ + "▁dezbateri", + -13.573887825012207 + ], + [ + "viteză", + -13.574563026428223 + ], + [ + "formațiile", + -13.574600219726562 + ], + [ + "▁responsibly", + -13.574692726135254 + ], + [ + "Dimensiuni", + -13.574695587158203 + ], + [ + "Arrangement", + -13.57469654083252 + ], + [ + "▁Leisure", + -13.574712753295898 + ], + [ + "escaping", + -13.5750732421875 + ], + [ + "flexion", + -13.575104713439941 + ], + [ + "▁religieuse", + -13.575308799743652 + ], + [ + "crystalline", + -13.575457572937012 + ], + [ + "▁clasp", + -13.575520515441895 + ], + [ + "festigt", + -13.57554817199707 + ], + [ + "▁trouvai", + -13.57596206665039 + ], + [ + "cutaneous", + -13.576305389404297 + ], + [ + "▁carcinoma", + -13.576305389404297 + ], + [ + "▁juxtapos", + -13.576305389404297 + ], + [ + "assemblage", + -13.576306343078613 + ], + [ + "▁Messiah", + -13.576306343078613 + ], + [ + "▁Sleeve", + -13.576306343078613 + ], + [ + "▁șofer", + -13.576386451721191 + ], + [ + "/05/", + -13.57666301727295 + ], + [ + "▁expoziți", + -13.576703071594238 + ], + [ + "▁pătrun", + -13.577343940734863 + ], + [ + "▁Lydia", + -13.57739543914795 + ], + [ + "▁grădini", + -13.577919006347656 + ], + [ + "▁toothpaste", + -13.577919960021973 + ], + [ + "ordained", + -13.577921867370605 + ], + [ + "▁Renovation", + -13.577922821044922 + ], + [ + "voicing", + -13.578327178955078 + ], + [ + "président", + -13.578595161437988 + ], + [ + "▁gestartet", + -13.578728675842285 + ], + [ + "Multi", + -13.579121589660645 + ], + [ + "itinéraire", + -13.579537391662598 + ], + [ + "▁influenza", + -13.579537391662598 + ], + [ + "▁psychiatrist", + -13.579537391662598 + ], + [ + "▁schizophrenia", + -13.579537391662598 + ], + [ + "▁Magnolia", + -13.57953929901123 + ], + [ + "▁Scottsdale", + -13.579541206359863 + ], + [ + "▁interessieren", + -13.579548835754395 + ], + [ + "▁asfalt", + -13.579643249511719 + ], + [ + "▁Journalism", + -13.57977294921875 + ], + [ + "Multe", + -13.580089569091797 + ], + [ + "Westfalen", + -13.580347061157227 + ], + [ + "▁Vorschriften", + -13.580348014831543 + ], + [ + "Angleterre", + -13.58034896850586 + ], + [ + "sustainable", + -13.580354690551758 + ], + [ + "▁Retour", + -13.580589294433594 + ], + [ + "▁pâr", + -13.5809965133667 + ], + [ + "steigert", + -13.581120491027832 + ], + [ + "▁AMAZING", + -13.581157684326172 + ], + [ + "▁turbulent", + -13.581157684326172 + ], + [ + "costing", + -13.58155345916748 + ], + [ + "▁Carolyn", + -13.581634521484375 + ], + [ + "utti", + -13.581802368164062 + ], + [ + "dürftig", + -13.581968307495117 + ], + [ + "Keep", + -13.582038879394531 + ], + [ + "▁Théâtre", + -13.582780838012695 + ], + [ + "▁combustibil", + -13.582780838012695 + ], + [ + "▁halloween", + -13.582780838012695 + ], + [ + "▁emulator", + -13.582785606384277 + ], + [ + "▁povești", + -13.582785606384277 + ], + [ + "broyeur", + -13.582810401916504 + ], + [ + "▁émerg", + -13.582927703857422 + ], + [ + "overwhelmingly", + -13.583025932312012 + ], + [ + "regulă", + -13.583124160766602 + ], + [ + "goutte", + -13.583125114440918 + ], + [ + "▁Fertigung", + -13.583593368530273 + ], + [ + "constituted", + -13.584304809570312 + ], + [ + "▁QuickBooks", + -13.584406852722168 + ], + [ + "▁genealogy", + -13.584407806396484 + ], + [ + "▁laundering", + -13.584432601928711 + ], + [ + "▁échéan", + -13.584491729736328 + ], + [ + "Account", + -13.584601402282715 + ], + [ + "oyons", + -13.584792137145996 + ], + [ + "nitro", + -13.584905624389648 + ], + [ + "▁corespund", + -13.585219383239746 + ], + [ + "▁suggér", + -13.58527660369873 + ], + [ + "manipulated", + -13.585348129272461 + ], + [ + "deseori", + -13.585817337036133 + ], + [ + "permeabil", + -13.585912704467773 + ], + [ + "Australia", + -13.58594799041748 + ], + [ + "▁Erasmus", + -13.586034774780273 + ], + [ + "▁disrespect", + -13.586034774780273 + ], + [ + "▁trimestre", + -13.586038589477539 + ], + [ + "▁emanat", + -13.586103439331055 + ], + [ + "Schraub", + -13.58624267578125 + ], + [ + "distinctly", + -13.586319923400879 + ], + [ + "Germain", + -13.586637496948242 + ], + [ + "▁pedepse", + -13.5868501663208 + ], + [ + "réglage", + -13.5868558883667 + ], + [ + "făcute", + -13.587308883666992 + ], + [ + "▁garanteaz", + -13.587434768676758 + ], + [ + "▁unterlieg", + -13.587701797485352 + ], + [ + "▁cheddar", + -13.587712287902832 + ], + [ + "▁refugi", + -13.587756156921387 + ], + [ + "▁inférieur", + -13.587836265563965 + ], + [ + "dimension", + -13.588440895080566 + ], + [ + "▁erkennt", + -13.588570594787598 + ], + [ + "amitié", + -13.588632583618164 + ], + [ + "▁predominant", + -13.588680267333984 + ], + [ + "nourishe", + -13.588800430297852 + ], + [ + "exerce", + -13.588907241821289 + ], + [ + "▁disguise", + -13.589225769042969 + ], + [ + "▁traditi", + -13.589289665222168 + ], + [ + "▁Intellectual", + -13.5892972946167 + ], + [ + "▁imunitar", + -13.589299201965332 + ], + [ + "▁Cushion", + -13.589300155639648 + ], + [ + "▁erwachsene", + -13.589517593383789 + ], + [ + "▁Internațional", + -13.590115547180176 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ], + [ + "", + 0.0 + ] + ], + "byte_fallback": false + } +} \ No newline at end of file diff --git a/comfy/text_encoders/t5_tokenizer/tokenizer_config.json b/comfy/text_encoders/t5_tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..02020eb6d20746871e1ea93f14c4475cf9368f98 --- /dev/null +++ b/comfy/text_encoders/t5_tokenizer/tokenizer_config.json @@ -0,0 +1,939 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32000": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32001": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32003": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32004": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32005": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32006": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32007": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32008": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32009": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32010": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32011": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32012": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32013": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32014": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32015": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32016": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32017": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32018": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32019": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32020": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32021": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32022": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32023": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32024": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32025": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32026": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32027": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32028": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32029": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32030": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32031": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32032": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32033": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32034": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32035": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32036": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32037": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32038": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32039": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32040": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32041": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32042": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32043": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32044": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32045": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32046": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32047": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32048": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32049": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32050": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32051": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32052": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32053": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32054": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32055": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32056": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32057": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32058": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32059": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32060": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32061": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32062": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32063": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32064": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32065": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32066": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32067": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32068": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32069": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32070": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32071": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32072": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32073": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32074": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32075": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32076": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32077": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32078": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32079": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32080": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32081": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32082": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32083": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32084": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32085": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32086": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32087": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32088": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32089": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32090": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32091": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32092": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32093": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32094": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32095": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32096": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32097": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32098": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32099": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "" + ], + "clean_up_tokenization_spaces": true, + "eos_token": "", + "extra_ids": 100, + "legacy": false, + "model_max_length": 512, + "pad_token": "", + "sp_model_kwargs": {}, + "tokenizer_class": "T5Tokenizer", + "unk_token": "" +} diff --git a/comfy/text_encoders/umt5_config_base.json b/comfy/text_encoders/umt5_config_base.json new file mode 100644 index 0000000000000000000000000000000000000000..6b3618f075eb4503d0666bd50f2259cc34b653c4 --- /dev/null +++ b/comfy/text_encoders/umt5_config_base.json @@ -0,0 +1,22 @@ +{ + "d_ff": 2048, + "d_kv": 64, + "d_model": 768, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "gelu_pytorch_tanh", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "umt5", + "num_decoder_layers": 12, + "num_heads": 12, + "num_layers": 12, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 256384 +} diff --git a/comfy/text_encoders/umt5_config_xxl.json b/comfy/text_encoders/umt5_config_xxl.json new file mode 100644 index 0000000000000000000000000000000000000000..dfcb4b54bc95469e7b519aed847bb1efb034bdc1 --- /dev/null +++ b/comfy/text_encoders/umt5_config_xxl.json @@ -0,0 +1,22 @@ +{ + "d_ff": 10240, + "d_kv": 64, + "d_model": 4096, + "decoder_start_token_id": 0, + "dropout_rate": 0.1, + "eos_token_id": 1, + "dense_act_fn": "gelu_pytorch_tanh", + "initializer_factor": 1.0, + "is_encoder_decoder": true, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "umt5", + "num_decoder_layers": 24, + "num_heads": 64, + "num_layers": 24, + "output_past": true, + "pad_token_id": 0, + "relative_attention_num_buckets": 32, + "tie_word_embeddings": false, + "vocab_size": 256384 +} diff --git a/comfy/text_encoders/wan.py b/comfy/text_encoders/wan.py new file mode 100644 index 0000000000000000000000000000000000000000..d50fa4b28df39ab358ae19bd9745b702985ba74d --- /dev/null +++ b/comfy/text_encoders/wan.py @@ -0,0 +1,37 @@ +from comfy import sd1_clip +from .spiece_tokenizer import SPieceTokenizer +import comfy.text_encoders.t5 +import os + +class UMT5XXlModel(sd1_clip.SDClipModel): + def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}): + textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "umt5_config_xxl.json") + super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, enable_attention_masks=True, zero_out_masked=True, model_options=model_options) + +class UMT5XXlTokenizer(sd1_clip.SDTokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + tokenizer = tokenizer_data.get("spiece_model", None) + super().__init__(tokenizer, pad_with_end=False, embedding_size=4096, embedding_key='umt5xxl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=512, pad_token=0, tokenizer_data=tokenizer_data) + + def state_dict(self): + return {"spiece_model": self.tokenizer.serialize_model()} + + +class WanT5Tokenizer(sd1_clip.SD1Tokenizer): + def __init__(self, embedding_directory=None, tokenizer_data={}): + super().__init__(embedding_directory=embedding_directory, tokenizer_data=tokenizer_data, clip_name="umt5xxl", tokenizer=UMT5XXlTokenizer) + +class WanT5Model(sd1_clip.SD1ClipModel): + def __init__(self, device="cpu", dtype=None, model_options={}, **kwargs): + super().__init__(device=device, dtype=dtype, model_options=model_options, name="umt5xxl", clip_model=UMT5XXlModel, **kwargs) + +def te(dtype_t5=None, t5xxl_scaled_fp8=None): + class WanTEModel(WanT5Model): + def __init__(self, device="cpu", dtype=None, model_options={}): + if t5xxl_scaled_fp8 is not None and "scaled_fp8" not in model_options: + model_options = model_options.copy() + model_options["scaled_fp8"] = t5xxl_scaled_fp8 + if dtype_t5 is not None: + dtype = dtype_t5 + super().__init__(device=device, dtype=dtype, model_options=model_options) + return WanTEModel diff --git a/comfy/utils.py b/comfy/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..fab28cf088c0049de71527268d0bb4dadc9cfe7e --- /dev/null +++ b/comfy/utils.py @@ -0,0 +1,1104 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Comfy + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + + +import torch +import math +import struct +import comfy.checkpoint_pickle +import safetensors.torch +import numpy as np +from PIL import Image +import logging +import itertools +from torch.nn.functional import interpolate +from einops import rearrange +from comfy.cli_args import args + +MMAP_TORCH_FILES = args.mmap_torch_files +DISABLE_MMAP = args.disable_mmap + +ALWAYS_SAFE_LOAD = False +if hasattr(torch.serialization, "add_safe_globals"): # TODO: this was added in pytorch 2.4, the unsafe path should be removed once earlier versions are deprecated + class ModelCheckpoint: + pass + ModelCheckpoint.__module__ = "pytorch_lightning.callbacks.model_checkpoint" + + from numpy.core.multiarray import scalar + from numpy import dtype + from numpy.dtypes import Float64DType + from _codecs import encode + + torch.serialization.add_safe_globals([ModelCheckpoint, scalar, dtype, Float64DType, encode]) + ALWAYS_SAFE_LOAD = True + logging.info("Checkpoint files will always be loaded safely.") +else: + logging.info("Warning, you are using an old pytorch version and some ckpt/pt files might be loaded unsafely. Upgrading to 2.4 or above is recommended.") + +def load_torch_file(ckpt, safe_load=False, device=None, return_metadata=False): + if device is None: + device = torch.device("cpu") + metadata = None + if ckpt.lower().endswith(".safetensors") or ckpt.lower().endswith(".sft"): + try: + with safetensors.safe_open(ckpt, framework="pt", device=device.type) as f: + sd = {} + for k in f.keys(): + tensor = f.get_tensor(k) + if DISABLE_MMAP: # TODO: Not sure if this is the best way to bypass the mmap issues + tensor = tensor.to(device=device, copy=True) + sd[k] = tensor + if return_metadata: + metadata = f.metadata() + except Exception as e: + if len(e.args) > 0: + message = e.args[0] + if "HeaderTooLarge" in message: + raise ValueError("{}\n\nFile path: {}\n\nThe safetensors file is corrupt or invalid. Make sure this is actually a safetensors file and not a ckpt or pt or other filetype.".format(message, ckpt)) + if "MetadataIncompleteBuffer" in message: + raise ValueError("{}\n\nFile path: {}\n\nThe safetensors file is corrupt/incomplete. Check the file size and make sure you have copied/downloaded it correctly.".format(message, ckpt)) + raise e + else: + torch_args = {} + if MMAP_TORCH_FILES: + torch_args["mmap"] = True + + if safe_load or ALWAYS_SAFE_LOAD: + pl_sd = torch.load(ckpt, map_location=device, weights_only=True, **torch_args) + else: + logging.warning("WARNING: loading {} unsafely, upgrade your pytorch to 2.4 or newer to load this file safely.".format(ckpt)) + pl_sd = torch.load(ckpt, map_location=device, pickle_module=comfy.checkpoint_pickle) + if "state_dict" in pl_sd: + sd = pl_sd["state_dict"] + else: + if len(pl_sd) == 1: + key = list(pl_sd.keys())[0] + sd = pl_sd[key] + if not isinstance(sd, dict): + sd = pl_sd + else: + sd = pl_sd + return (sd, metadata) if return_metadata else sd + +def save_torch_file(sd, ckpt, metadata=None): + if metadata is not None: + safetensors.torch.save_file(sd, ckpt, metadata=metadata) + else: + safetensors.torch.save_file(sd, ckpt) + +def calculate_parameters(sd, prefix=""): + params = 0 + for k in sd.keys(): + if k.startswith(prefix): + w = sd[k] + params += w.nelement() + return params + +def weight_dtype(sd, prefix=""): + dtypes = {} + for k in sd.keys(): + if k.startswith(prefix): + w = sd[k] + dtypes[w.dtype] = dtypes.get(w.dtype, 0) + w.numel() + + if len(dtypes) == 0: + return None + + return max(dtypes, key=dtypes.get) + +def state_dict_key_replace(state_dict, keys_to_replace): + for x in keys_to_replace: + if x in state_dict: + state_dict[keys_to_replace[x]] = state_dict.pop(x) + return state_dict + +def state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=False): + if filter_keys: + out = {} + else: + out = state_dict + for rp in replace_prefix: + replace = list(map(lambda a: (a, "{}{}".format(replace_prefix[rp], a[len(rp):])), filter(lambda a: a.startswith(rp), state_dict.keys()))) + for x in replace: + w = state_dict.pop(x[0]) + out[x[1]] = w + return out + + +def transformers_convert(sd, prefix_from, prefix_to, number): + keys_to_replace = { + "{}positional_embedding": "{}embeddings.position_embedding.weight", + "{}token_embedding.weight": "{}embeddings.token_embedding.weight", + "{}ln_final.weight": "{}final_layer_norm.weight", + "{}ln_final.bias": "{}final_layer_norm.bias", + } + + for k in keys_to_replace: + x = k.format(prefix_from) + if x in sd: + sd[keys_to_replace[k].format(prefix_to)] = sd.pop(x) + + resblock_to_replace = { + "ln_1": "layer_norm1", + "ln_2": "layer_norm2", + "mlp.c_fc": "mlp.fc1", + "mlp.c_proj": "mlp.fc2", + "attn.out_proj": "self_attn.out_proj", + } + + for resblock in range(number): + for x in resblock_to_replace: + for y in ["weight", "bias"]: + k = "{}transformer.resblocks.{}.{}.{}".format(prefix_from, resblock, x, y) + k_to = "{}encoder.layers.{}.{}.{}".format(prefix_to, resblock, resblock_to_replace[x], y) + if k in sd: + sd[k_to] = sd.pop(k) + + for y in ["weight", "bias"]: + k_from = "{}transformer.resblocks.{}.attn.in_proj_{}".format(prefix_from, resblock, y) + if k_from in sd: + weights = sd.pop(k_from) + shape_from = weights.shape[0] // 3 + for x in range(3): + p = ["self_attn.q_proj", "self_attn.k_proj", "self_attn.v_proj"] + k_to = "{}encoder.layers.{}.{}.{}".format(prefix_to, resblock, p[x], y) + sd[k_to] = weights[shape_from*x:shape_from*(x + 1)] + + return sd + +def clip_text_transformers_convert(sd, prefix_from, prefix_to): + sd = transformers_convert(sd, prefix_from, "{}text_model.".format(prefix_to), 32) + + tp = "{}text_projection.weight".format(prefix_from) + if tp in sd: + sd["{}text_projection.weight".format(prefix_to)] = sd.pop(tp) + + tp = "{}text_projection".format(prefix_from) + if tp in sd: + sd["{}text_projection.weight".format(prefix_to)] = sd.pop(tp).transpose(0, 1).contiguous() + return sd + + +UNET_MAP_ATTENTIONS = { + "proj_in.weight", + "proj_in.bias", + "proj_out.weight", + "proj_out.bias", + "norm.weight", + "norm.bias", +} + +TRANSFORMER_BLOCKS = { + "norm1.weight", + "norm1.bias", + "norm2.weight", + "norm2.bias", + "norm3.weight", + "norm3.bias", + "attn1.to_q.weight", + "attn1.to_k.weight", + "attn1.to_v.weight", + "attn1.to_out.0.weight", + "attn1.to_out.0.bias", + "attn2.to_q.weight", + "attn2.to_k.weight", + "attn2.to_v.weight", + "attn2.to_out.0.weight", + "attn2.to_out.0.bias", + "ff.net.0.proj.weight", + "ff.net.0.proj.bias", + "ff.net.2.weight", + "ff.net.2.bias", +} + +UNET_MAP_RESNET = { + "in_layers.2.weight": "conv1.weight", + "in_layers.2.bias": "conv1.bias", + "emb_layers.1.weight": "time_emb_proj.weight", + "emb_layers.1.bias": "time_emb_proj.bias", + "out_layers.3.weight": "conv2.weight", + "out_layers.3.bias": "conv2.bias", + "skip_connection.weight": "conv_shortcut.weight", + "skip_connection.bias": "conv_shortcut.bias", + "in_layers.0.weight": "norm1.weight", + "in_layers.0.bias": "norm1.bias", + "out_layers.0.weight": "norm2.weight", + "out_layers.0.bias": "norm2.bias", +} + +UNET_MAP_BASIC = { + ("label_emb.0.0.weight", "class_embedding.linear_1.weight"), + ("label_emb.0.0.bias", "class_embedding.linear_1.bias"), + ("label_emb.0.2.weight", "class_embedding.linear_2.weight"), + ("label_emb.0.2.bias", "class_embedding.linear_2.bias"), + ("label_emb.0.0.weight", "add_embedding.linear_1.weight"), + ("label_emb.0.0.bias", "add_embedding.linear_1.bias"), + ("label_emb.0.2.weight", "add_embedding.linear_2.weight"), + ("label_emb.0.2.bias", "add_embedding.linear_2.bias"), + ("input_blocks.0.0.weight", "conv_in.weight"), + ("input_blocks.0.0.bias", "conv_in.bias"), + ("out.0.weight", "conv_norm_out.weight"), + ("out.0.bias", "conv_norm_out.bias"), + ("out.2.weight", "conv_out.weight"), + ("out.2.bias", "conv_out.bias"), + ("time_embed.0.weight", "time_embedding.linear_1.weight"), + ("time_embed.0.bias", "time_embedding.linear_1.bias"), + ("time_embed.2.weight", "time_embedding.linear_2.weight"), + ("time_embed.2.bias", "time_embedding.linear_2.bias") +} + +def unet_to_diffusers(unet_config): + if "num_res_blocks" not in unet_config: + return {} + num_res_blocks = unet_config["num_res_blocks"] + channel_mult = unet_config["channel_mult"] + transformer_depth = unet_config["transformer_depth"][:] + transformer_depth_output = unet_config["transformer_depth_output"][:] + num_blocks = len(channel_mult) + + transformers_mid = unet_config.get("transformer_depth_middle", None) + + diffusers_unet_map = {} + for x in range(num_blocks): + n = 1 + (num_res_blocks[x] + 1) * x + for i in range(num_res_blocks[x]): + for b in UNET_MAP_RESNET: + diffusers_unet_map["down_blocks.{}.resnets.{}.{}".format(x, i, UNET_MAP_RESNET[b])] = "input_blocks.{}.0.{}".format(n, b) + num_transformers = transformer_depth.pop(0) + if num_transformers > 0: + for b in UNET_MAP_ATTENTIONS: + diffusers_unet_map["down_blocks.{}.attentions.{}.{}".format(x, i, b)] = "input_blocks.{}.1.{}".format(n, b) + for t in range(num_transformers): + for b in TRANSFORMER_BLOCKS: + diffusers_unet_map["down_blocks.{}.attentions.{}.transformer_blocks.{}.{}".format(x, i, t, b)] = "input_blocks.{}.1.transformer_blocks.{}.{}".format(n, t, b) + n += 1 + for k in ["weight", "bias"]: + diffusers_unet_map["down_blocks.{}.downsamplers.0.conv.{}".format(x, k)] = "input_blocks.{}.0.op.{}".format(n, k) + + i = 0 + for b in UNET_MAP_ATTENTIONS: + diffusers_unet_map["mid_block.attentions.{}.{}".format(i, b)] = "middle_block.1.{}".format(b) + for t in range(transformers_mid): + for b in TRANSFORMER_BLOCKS: + diffusers_unet_map["mid_block.attentions.{}.transformer_blocks.{}.{}".format(i, t, b)] = "middle_block.1.transformer_blocks.{}.{}".format(t, b) + + for i, n in enumerate([0, 2]): + for b in UNET_MAP_RESNET: + diffusers_unet_map["mid_block.resnets.{}.{}".format(i, UNET_MAP_RESNET[b])] = "middle_block.{}.{}".format(n, b) + + num_res_blocks = list(reversed(num_res_blocks)) + for x in range(num_blocks): + n = (num_res_blocks[x] + 1) * x + l = num_res_blocks[x] + 1 + for i in range(l): + c = 0 + for b in UNET_MAP_RESNET: + diffusers_unet_map["up_blocks.{}.resnets.{}.{}".format(x, i, UNET_MAP_RESNET[b])] = "output_blocks.{}.0.{}".format(n, b) + c += 1 + num_transformers = transformer_depth_output.pop() + if num_transformers > 0: + c += 1 + for b in UNET_MAP_ATTENTIONS: + diffusers_unet_map["up_blocks.{}.attentions.{}.{}".format(x, i, b)] = "output_blocks.{}.1.{}".format(n, b) + for t in range(num_transformers): + for b in TRANSFORMER_BLOCKS: + diffusers_unet_map["up_blocks.{}.attentions.{}.transformer_blocks.{}.{}".format(x, i, t, b)] = "output_blocks.{}.1.transformer_blocks.{}.{}".format(n, t, b) + if i == l - 1: + for k in ["weight", "bias"]: + diffusers_unet_map["up_blocks.{}.upsamplers.0.conv.{}".format(x, k)] = "output_blocks.{}.{}.conv.{}".format(n, c, k) + n += 1 + + for k in UNET_MAP_BASIC: + diffusers_unet_map[k[1]] = k[0] + + return diffusers_unet_map + +def swap_scale_shift(weight): + shift, scale = weight.chunk(2, dim=0) + new_weight = torch.cat([scale, shift], dim=0) + return new_weight + +MMDIT_MAP_BASIC = { + ("context_embedder.bias", "context_embedder.bias"), + ("context_embedder.weight", "context_embedder.weight"), + ("t_embedder.mlp.0.bias", "time_text_embed.timestep_embedder.linear_1.bias"), + ("t_embedder.mlp.0.weight", "time_text_embed.timestep_embedder.linear_1.weight"), + ("t_embedder.mlp.2.bias", "time_text_embed.timestep_embedder.linear_2.bias"), + ("t_embedder.mlp.2.weight", "time_text_embed.timestep_embedder.linear_2.weight"), + ("x_embedder.proj.bias", "pos_embed.proj.bias"), + ("x_embedder.proj.weight", "pos_embed.proj.weight"), + ("y_embedder.mlp.0.bias", "time_text_embed.text_embedder.linear_1.bias"), + ("y_embedder.mlp.0.weight", "time_text_embed.text_embedder.linear_1.weight"), + ("y_embedder.mlp.2.bias", "time_text_embed.text_embedder.linear_2.bias"), + ("y_embedder.mlp.2.weight", "time_text_embed.text_embedder.linear_2.weight"), + ("pos_embed", "pos_embed.pos_embed"), + ("final_layer.adaLN_modulation.1.bias", "norm_out.linear.bias", swap_scale_shift), + ("final_layer.adaLN_modulation.1.weight", "norm_out.linear.weight", swap_scale_shift), + ("final_layer.linear.bias", "proj_out.bias"), + ("final_layer.linear.weight", "proj_out.weight"), +} + +MMDIT_MAP_BLOCK = { + ("context_block.adaLN_modulation.1.bias", "norm1_context.linear.bias"), + ("context_block.adaLN_modulation.1.weight", "norm1_context.linear.weight"), + ("context_block.attn.proj.bias", "attn.to_add_out.bias"), + ("context_block.attn.proj.weight", "attn.to_add_out.weight"), + ("context_block.mlp.fc1.bias", "ff_context.net.0.proj.bias"), + ("context_block.mlp.fc1.weight", "ff_context.net.0.proj.weight"), + ("context_block.mlp.fc2.bias", "ff_context.net.2.bias"), + ("context_block.mlp.fc2.weight", "ff_context.net.2.weight"), + ("context_block.attn.ln_q.weight", "attn.norm_added_q.weight"), + ("context_block.attn.ln_k.weight", "attn.norm_added_k.weight"), + ("x_block.adaLN_modulation.1.bias", "norm1.linear.bias"), + ("x_block.adaLN_modulation.1.weight", "norm1.linear.weight"), + ("x_block.attn.proj.bias", "attn.to_out.0.bias"), + ("x_block.attn.proj.weight", "attn.to_out.0.weight"), + ("x_block.attn.ln_q.weight", "attn.norm_q.weight"), + ("x_block.attn.ln_k.weight", "attn.norm_k.weight"), + ("x_block.attn2.proj.bias", "attn2.to_out.0.bias"), + ("x_block.attn2.proj.weight", "attn2.to_out.0.weight"), + ("x_block.attn2.ln_q.weight", "attn2.norm_q.weight"), + ("x_block.attn2.ln_k.weight", "attn2.norm_k.weight"), + ("x_block.mlp.fc1.bias", "ff.net.0.proj.bias"), + ("x_block.mlp.fc1.weight", "ff.net.0.proj.weight"), + ("x_block.mlp.fc2.bias", "ff.net.2.bias"), + ("x_block.mlp.fc2.weight", "ff.net.2.weight"), +} + +def mmdit_to_diffusers(mmdit_config, output_prefix=""): + key_map = {} + + depth = mmdit_config.get("depth", 0) + num_blocks = mmdit_config.get("num_blocks", depth) + for i in range(num_blocks): + block_from = "transformer_blocks.{}".format(i) + block_to = "{}joint_blocks.{}".format(output_prefix, i) + + offset = depth * 64 + + for end in ("weight", "bias"): + k = "{}.attn.".format(block_from) + qkv = "{}.x_block.attn.qkv.{}".format(block_to, end) + key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, offset)) + key_map["{}to_k.{}".format(k, end)] = (qkv, (0, offset, offset)) + key_map["{}to_v.{}".format(k, end)] = (qkv, (0, offset * 2, offset)) + + qkv = "{}.context_block.attn.qkv.{}".format(block_to, end) + key_map["{}add_q_proj.{}".format(k, end)] = (qkv, (0, 0, offset)) + key_map["{}add_k_proj.{}".format(k, end)] = (qkv, (0, offset, offset)) + key_map["{}add_v_proj.{}".format(k, end)] = (qkv, (0, offset * 2, offset)) + + k = "{}.attn2.".format(block_from) + qkv = "{}.x_block.attn2.qkv.{}".format(block_to, end) + key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, offset)) + key_map["{}to_k.{}".format(k, end)] = (qkv, (0, offset, offset)) + key_map["{}to_v.{}".format(k, end)] = (qkv, (0, offset * 2, offset)) + + for k in MMDIT_MAP_BLOCK: + key_map["{}.{}".format(block_from, k[1])] = "{}.{}".format(block_to, k[0]) + + map_basic = MMDIT_MAP_BASIC.copy() + map_basic.add(("joint_blocks.{}.context_block.adaLN_modulation.1.bias".format(depth - 1), "transformer_blocks.{}.norm1_context.linear.bias".format(depth - 1), swap_scale_shift)) + map_basic.add(("joint_blocks.{}.context_block.adaLN_modulation.1.weight".format(depth - 1), "transformer_blocks.{}.norm1_context.linear.weight".format(depth - 1), swap_scale_shift)) + + for k in map_basic: + if len(k) > 2: + key_map[k[1]] = ("{}{}".format(output_prefix, k[0]), None, k[2]) + else: + key_map[k[1]] = "{}{}".format(output_prefix, k[0]) + + return key_map + +PIXART_MAP_BASIC = { + ("csize_embedder.mlp.0.weight", "adaln_single.emb.resolution_embedder.linear_1.weight"), + ("csize_embedder.mlp.0.bias", "adaln_single.emb.resolution_embedder.linear_1.bias"), + ("csize_embedder.mlp.2.weight", "adaln_single.emb.resolution_embedder.linear_2.weight"), + ("csize_embedder.mlp.2.bias", "adaln_single.emb.resolution_embedder.linear_2.bias"), + ("ar_embedder.mlp.0.weight", "adaln_single.emb.aspect_ratio_embedder.linear_1.weight"), + ("ar_embedder.mlp.0.bias", "adaln_single.emb.aspect_ratio_embedder.linear_1.bias"), + ("ar_embedder.mlp.2.weight", "adaln_single.emb.aspect_ratio_embedder.linear_2.weight"), + ("ar_embedder.mlp.2.bias", "adaln_single.emb.aspect_ratio_embedder.linear_2.bias"), + ("x_embedder.proj.weight", "pos_embed.proj.weight"), + ("x_embedder.proj.bias", "pos_embed.proj.bias"), + ("y_embedder.y_embedding", "caption_projection.y_embedding"), + ("y_embedder.y_proj.fc1.weight", "caption_projection.linear_1.weight"), + ("y_embedder.y_proj.fc1.bias", "caption_projection.linear_1.bias"), + ("y_embedder.y_proj.fc2.weight", "caption_projection.linear_2.weight"), + ("y_embedder.y_proj.fc2.bias", "caption_projection.linear_2.bias"), + ("t_embedder.mlp.0.weight", "adaln_single.emb.timestep_embedder.linear_1.weight"), + ("t_embedder.mlp.0.bias", "adaln_single.emb.timestep_embedder.linear_1.bias"), + ("t_embedder.mlp.2.weight", "adaln_single.emb.timestep_embedder.linear_2.weight"), + ("t_embedder.mlp.2.bias", "adaln_single.emb.timestep_embedder.linear_2.bias"), + ("t_block.1.weight", "adaln_single.linear.weight"), + ("t_block.1.bias", "adaln_single.linear.bias"), + ("final_layer.linear.weight", "proj_out.weight"), + ("final_layer.linear.bias", "proj_out.bias"), + ("final_layer.scale_shift_table", "scale_shift_table"), +} + +PIXART_MAP_BLOCK = { + ("scale_shift_table", "scale_shift_table"), + ("attn.proj.weight", "attn1.to_out.0.weight"), + ("attn.proj.bias", "attn1.to_out.0.bias"), + ("mlp.fc1.weight", "ff.net.0.proj.weight"), + ("mlp.fc1.bias", "ff.net.0.proj.bias"), + ("mlp.fc2.weight", "ff.net.2.weight"), + ("mlp.fc2.bias", "ff.net.2.bias"), + ("cross_attn.proj.weight" ,"attn2.to_out.0.weight"), + ("cross_attn.proj.bias" ,"attn2.to_out.0.bias"), +} + +def pixart_to_diffusers(mmdit_config, output_prefix=""): + key_map = {} + + depth = mmdit_config.get("depth", 0) + offset = mmdit_config.get("hidden_size", 1152) + + for i in range(depth): + block_from = "transformer_blocks.{}".format(i) + block_to = "{}blocks.{}".format(output_prefix, i) + + for end in ("weight", "bias"): + s = "{}.attn1.".format(block_from) + qkv = "{}.attn.qkv.{}".format(block_to, end) + key_map["{}to_q.{}".format(s, end)] = (qkv, (0, 0, offset)) + key_map["{}to_k.{}".format(s, end)] = (qkv, (0, offset, offset)) + key_map["{}to_v.{}".format(s, end)] = (qkv, (0, offset * 2, offset)) + + s = "{}.attn2.".format(block_from) + q = "{}.cross_attn.q_linear.{}".format(block_to, end) + kv = "{}.cross_attn.kv_linear.{}".format(block_to, end) + + key_map["{}to_q.{}".format(s, end)] = q + key_map["{}to_k.{}".format(s, end)] = (kv, (0, 0, offset)) + key_map["{}to_v.{}".format(s, end)] = (kv, (0, offset, offset)) + + for k in PIXART_MAP_BLOCK: + key_map["{}.{}".format(block_from, k[1])] = "{}.{}".format(block_to, k[0]) + + for k in PIXART_MAP_BASIC: + key_map[k[1]] = "{}{}".format(output_prefix, k[0]) + + return key_map + +def auraflow_to_diffusers(mmdit_config, output_prefix=""): + n_double_layers = mmdit_config.get("n_double_layers", 0) + n_layers = mmdit_config.get("n_layers", 0) + + key_map = {} + for i in range(n_layers): + if i < n_double_layers: + index = i + prefix_from = "joint_transformer_blocks" + prefix_to = "{}double_layers".format(output_prefix) + block_map = { + "attn.to_q.weight": "attn.w2q.weight", + "attn.to_k.weight": "attn.w2k.weight", + "attn.to_v.weight": "attn.w2v.weight", + "attn.to_out.0.weight": "attn.w2o.weight", + "attn.add_q_proj.weight": "attn.w1q.weight", + "attn.add_k_proj.weight": "attn.w1k.weight", + "attn.add_v_proj.weight": "attn.w1v.weight", + "attn.to_add_out.weight": "attn.w1o.weight", + "ff.linear_1.weight": "mlpX.c_fc1.weight", + "ff.linear_2.weight": "mlpX.c_fc2.weight", + "ff.out_projection.weight": "mlpX.c_proj.weight", + "ff_context.linear_1.weight": "mlpC.c_fc1.weight", + "ff_context.linear_2.weight": "mlpC.c_fc2.weight", + "ff_context.out_projection.weight": "mlpC.c_proj.weight", + "norm1.linear.weight": "modX.1.weight", + "norm1_context.linear.weight": "modC.1.weight", + } + else: + index = i - n_double_layers + prefix_from = "single_transformer_blocks" + prefix_to = "{}single_layers".format(output_prefix) + + block_map = { + "attn.to_q.weight": "attn.w1q.weight", + "attn.to_k.weight": "attn.w1k.weight", + "attn.to_v.weight": "attn.w1v.weight", + "attn.to_out.0.weight": "attn.w1o.weight", + "norm1.linear.weight": "modCX.1.weight", + "ff.linear_1.weight": "mlp.c_fc1.weight", + "ff.linear_2.weight": "mlp.c_fc2.weight", + "ff.out_projection.weight": "mlp.c_proj.weight" + } + + for k in block_map: + key_map["{}.{}.{}".format(prefix_from, index, k)] = "{}.{}.{}".format(prefix_to, index, block_map[k]) + + MAP_BASIC = { + ("positional_encoding", "pos_embed.pos_embed"), + ("register_tokens", "register_tokens"), + ("t_embedder.mlp.0.weight", "time_step_proj.linear_1.weight"), + ("t_embedder.mlp.0.bias", "time_step_proj.linear_1.bias"), + ("t_embedder.mlp.2.weight", "time_step_proj.linear_2.weight"), + ("t_embedder.mlp.2.bias", "time_step_proj.linear_2.bias"), + ("cond_seq_linear.weight", "context_embedder.weight"), + ("init_x_linear.weight", "pos_embed.proj.weight"), + ("init_x_linear.bias", "pos_embed.proj.bias"), + ("final_linear.weight", "proj_out.weight"), + ("modF.1.weight", "norm_out.linear.weight", swap_scale_shift), + } + + for k in MAP_BASIC: + if len(k) > 2: + key_map[k[1]] = ("{}{}".format(output_prefix, k[0]), None, k[2]) + else: + key_map[k[1]] = "{}{}".format(output_prefix, k[0]) + + return key_map + +def flux_to_diffusers(mmdit_config, output_prefix=""): + n_double_layers = mmdit_config.get("depth", 0) + n_single_layers = mmdit_config.get("depth_single_blocks", 0) + hidden_size = mmdit_config.get("hidden_size", 0) + + key_map = {} + for index in range(n_double_layers): + prefix_from = "transformer_blocks.{}".format(index) + prefix_to = "{}double_blocks.{}".format(output_prefix, index) + + for end in ("weight", "bias"): + k = "{}.attn.".format(prefix_from) + qkv = "{}.img_attn.qkv.{}".format(prefix_to, end) + key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, hidden_size)) + key_map["{}to_k.{}".format(k, end)] = (qkv, (0, hidden_size, hidden_size)) + key_map["{}to_v.{}".format(k, end)] = (qkv, (0, hidden_size * 2, hidden_size)) + + k = "{}.attn.".format(prefix_from) + qkv = "{}.txt_attn.qkv.{}".format(prefix_to, end) + key_map["{}add_q_proj.{}".format(k, end)] = (qkv, (0, 0, hidden_size)) + key_map["{}add_k_proj.{}".format(k, end)] = (qkv, (0, hidden_size, hidden_size)) + key_map["{}add_v_proj.{}".format(k, end)] = (qkv, (0, hidden_size * 2, hidden_size)) + + block_map = { + "attn.to_out.0.weight": "img_attn.proj.weight", + "attn.to_out.0.bias": "img_attn.proj.bias", + "norm1.linear.weight": "img_mod.lin.weight", + "norm1.linear.bias": "img_mod.lin.bias", + "norm1_context.linear.weight": "txt_mod.lin.weight", + "norm1_context.linear.bias": "txt_mod.lin.bias", + "attn.to_add_out.weight": "txt_attn.proj.weight", + "attn.to_add_out.bias": "txt_attn.proj.bias", + "ff.net.0.proj.weight": "img_mlp.0.weight", + "ff.net.0.proj.bias": "img_mlp.0.bias", + "ff.net.2.weight": "img_mlp.2.weight", + "ff.net.2.bias": "img_mlp.2.bias", + "ff_context.net.0.proj.weight": "txt_mlp.0.weight", + "ff_context.net.0.proj.bias": "txt_mlp.0.bias", + "ff_context.net.2.weight": "txt_mlp.2.weight", + "ff_context.net.2.bias": "txt_mlp.2.bias", + "attn.norm_q.weight": "img_attn.norm.query_norm.scale", + "attn.norm_k.weight": "img_attn.norm.key_norm.scale", + "attn.norm_added_q.weight": "txt_attn.norm.query_norm.scale", + "attn.norm_added_k.weight": "txt_attn.norm.key_norm.scale", + } + + for k in block_map: + key_map["{}.{}".format(prefix_from, k)] = "{}.{}".format(prefix_to, block_map[k]) + + for index in range(n_single_layers): + prefix_from = "single_transformer_blocks.{}".format(index) + prefix_to = "{}single_blocks.{}".format(output_prefix, index) + + for end in ("weight", "bias"): + k = "{}.attn.".format(prefix_from) + qkv = "{}.linear1.{}".format(prefix_to, end) + key_map["{}to_q.{}".format(k, end)] = (qkv, (0, 0, hidden_size)) + key_map["{}to_k.{}".format(k, end)] = (qkv, (0, hidden_size, hidden_size)) + key_map["{}to_v.{}".format(k, end)] = (qkv, (0, hidden_size * 2, hidden_size)) + key_map["{}.proj_mlp.{}".format(prefix_from, end)] = (qkv, (0, hidden_size * 3, hidden_size * 4)) + + block_map = { + "norm.linear.weight": "modulation.lin.weight", + "norm.linear.bias": "modulation.lin.bias", + "proj_out.weight": "linear2.weight", + "proj_out.bias": "linear2.bias", + "attn.norm_q.weight": "norm.query_norm.scale", + "attn.norm_k.weight": "norm.key_norm.scale", + } + + for k in block_map: + key_map["{}.{}".format(prefix_from, k)] = "{}.{}".format(prefix_to, block_map[k]) + + MAP_BASIC = { + ("final_layer.linear.bias", "proj_out.bias"), + ("final_layer.linear.weight", "proj_out.weight"), + ("img_in.bias", "x_embedder.bias"), + ("img_in.weight", "x_embedder.weight"), + ("time_in.in_layer.bias", "time_text_embed.timestep_embedder.linear_1.bias"), + ("time_in.in_layer.weight", "time_text_embed.timestep_embedder.linear_1.weight"), + ("time_in.out_layer.bias", "time_text_embed.timestep_embedder.linear_2.bias"), + ("time_in.out_layer.weight", "time_text_embed.timestep_embedder.linear_2.weight"), + ("txt_in.bias", "context_embedder.bias"), + ("txt_in.weight", "context_embedder.weight"), + ("vector_in.in_layer.bias", "time_text_embed.text_embedder.linear_1.bias"), + ("vector_in.in_layer.weight", "time_text_embed.text_embedder.linear_1.weight"), + ("vector_in.out_layer.bias", "time_text_embed.text_embedder.linear_2.bias"), + ("vector_in.out_layer.weight", "time_text_embed.text_embedder.linear_2.weight"), + ("guidance_in.in_layer.bias", "time_text_embed.guidance_embedder.linear_1.bias"), + ("guidance_in.in_layer.weight", "time_text_embed.guidance_embedder.linear_1.weight"), + ("guidance_in.out_layer.bias", "time_text_embed.guidance_embedder.linear_2.bias"), + ("guidance_in.out_layer.weight", "time_text_embed.guidance_embedder.linear_2.weight"), + ("final_layer.adaLN_modulation.1.bias", "norm_out.linear.bias", swap_scale_shift), + ("final_layer.adaLN_modulation.1.weight", "norm_out.linear.weight", swap_scale_shift), + ("pos_embed_input.bias", "controlnet_x_embedder.bias"), + ("pos_embed_input.weight", "controlnet_x_embedder.weight"), + } + + for k in MAP_BASIC: + if len(k) > 2: + key_map[k[1]] = ("{}{}".format(output_prefix, k[0]), None, k[2]) + else: + key_map[k[1]] = "{}{}".format(output_prefix, k[0]) + + return key_map + +def repeat_to_batch_size(tensor, batch_size, dim=0): + if tensor.shape[dim] > batch_size: + return tensor.narrow(dim, 0, batch_size) + elif tensor.shape[dim] < batch_size: + return tensor.repeat(dim * [1] + [math.ceil(batch_size / tensor.shape[dim])] + [1] * (len(tensor.shape) - 1 - dim)).narrow(dim, 0, batch_size) + return tensor + +def resize_to_batch_size(tensor, batch_size): + in_batch_size = tensor.shape[0] + if in_batch_size == batch_size: + return tensor + + if batch_size <= 1: + return tensor[:batch_size] + + output = torch.empty([batch_size] + list(tensor.shape)[1:], dtype=tensor.dtype, device=tensor.device) + if batch_size < in_batch_size: + scale = (in_batch_size - 1) / (batch_size - 1) + for i in range(batch_size): + output[i] = tensor[min(round(i * scale), in_batch_size - 1)] + else: + scale = in_batch_size / batch_size + for i in range(batch_size): + output[i] = tensor[min(math.floor((i + 0.5) * scale), in_batch_size - 1)] + + return output + +def resize_list_to_batch_size(l, batch_size): + in_batch_size = len(l) + if in_batch_size == batch_size or in_batch_size == 0: + return l + + if batch_size <= 1: + return l[:batch_size] + + output = [] + if batch_size < in_batch_size: + scale = (in_batch_size - 1) / (batch_size - 1) + for i in range(batch_size): + output.append(l[min(round(i * scale), in_batch_size - 1)]) + else: + scale = in_batch_size / batch_size + for i in range(batch_size): + output.append(l[min(math.floor((i + 0.5) * scale), in_batch_size - 1)]) + + return output + +def convert_sd_to(state_dict, dtype): + keys = list(state_dict.keys()) + for k in keys: + state_dict[k] = state_dict[k].to(dtype) + return state_dict + +def safetensors_header(safetensors_path, max_size=100*1024*1024): + with open(safetensors_path, "rb") as f: + header = f.read(8) + length_of_header = struct.unpack(' max_size: + return None + return f.read(length_of_header) + +def set_attr(obj, attr, value): + attrs = attr.split(".") + for name in attrs[:-1]: + obj = getattr(obj, name) + prev = getattr(obj, attrs[-1]) + setattr(obj, attrs[-1], value) + return prev + +def set_attr_param(obj, attr, value): + return set_attr(obj, attr, torch.nn.Parameter(value, requires_grad=False)) + +def copy_to_param(obj, attr, value): + # inplace update tensor instead of replacing it + attrs = attr.split(".") + for name in attrs[:-1]: + obj = getattr(obj, name) + prev = getattr(obj, attrs[-1]) + prev.data.copy_(value) + +def get_attr(obj, attr: str): + """Retrieves a nested attribute from an object using dot notation. + + Args: + obj: The object to get the attribute from + attr (str): The attribute path using dot notation (e.g. "model.layer.weight") + + Returns: + The value of the requested attribute + + Example: + model = MyModel() + weight = get_attr(model, "layer1.conv.weight") + # Equivalent to: model.layer1.conv.weight + + Important: + Always prefer `comfy.model_patcher.ModelPatcher.get_model_object` when + accessing nested model objects under `ModelPatcher.model`. + """ + attrs = attr.split(".") + for name in attrs: + obj = getattr(obj, name) + return obj + +def bislerp(samples, width, height): + def slerp(b1, b2, r): + '''slerps batches b1, b2 according to ratio r, batches should be flat e.g. NxC''' + + c = b1.shape[-1] + + #norms + b1_norms = torch.norm(b1, dim=-1, keepdim=True) + b2_norms = torch.norm(b2, dim=-1, keepdim=True) + + #normalize + b1_normalized = b1 / b1_norms + b2_normalized = b2 / b2_norms + + #zero when norms are zero + b1_normalized[b1_norms.expand(-1,c) == 0.0] = 0.0 + b2_normalized[b2_norms.expand(-1,c) == 0.0] = 0.0 + + #slerp + dot = (b1_normalized*b2_normalized).sum(1) + omega = torch.acos(dot) + so = torch.sin(omega) + + #technically not mathematically correct, but more pleasing? + res = (torch.sin((1.0-r.squeeze(1))*omega)/so).unsqueeze(1)*b1_normalized + (torch.sin(r.squeeze(1)*omega)/so).unsqueeze(1) * b2_normalized + res *= (b1_norms * (1.0-r) + b2_norms * r).expand(-1,c) + + #edge cases for same or polar opposites + res[dot > 1 - 1e-5] = b1[dot > 1 - 1e-5] + res[dot < 1e-5 - 1] = (b1 * (1.0-r) + b2 * r)[dot < 1e-5 - 1] + return res + + def generate_bilinear_data(length_old, length_new, device): + coords_1 = torch.arange(length_old, dtype=torch.float32, device=device).reshape((1,1,1,-1)) + coords_1 = torch.nn.functional.interpolate(coords_1, size=(1, length_new), mode="bilinear") + ratios = coords_1 - coords_1.floor() + coords_1 = coords_1.to(torch.int64) + + coords_2 = torch.arange(length_old, dtype=torch.float32, device=device).reshape((1,1,1,-1)) + 1 + coords_2[:,:,:,-1] -= 1 + coords_2 = torch.nn.functional.interpolate(coords_2, size=(1, length_new), mode="bilinear") + coords_2 = coords_2.to(torch.int64) + return ratios, coords_1, coords_2 + + orig_dtype = samples.dtype + samples = samples.float() + n,c,h,w = samples.shape + h_new, w_new = (height, width) + + #linear w + ratios, coords_1, coords_2 = generate_bilinear_data(w, w_new, samples.device) + coords_1 = coords_1.expand((n, c, h, -1)) + coords_2 = coords_2.expand((n, c, h, -1)) + ratios = ratios.expand((n, 1, h, -1)) + + pass_1 = samples.gather(-1,coords_1).movedim(1, -1).reshape((-1,c)) + pass_2 = samples.gather(-1,coords_2).movedim(1, -1).reshape((-1,c)) + ratios = ratios.movedim(1, -1).reshape((-1,1)) + + result = slerp(pass_1, pass_2, ratios) + result = result.reshape(n, h, w_new, c).movedim(-1, 1) + + #linear h + ratios, coords_1, coords_2 = generate_bilinear_data(h, h_new, samples.device) + coords_1 = coords_1.reshape((1,1,-1,1)).expand((n, c, -1, w_new)) + coords_2 = coords_2.reshape((1,1,-1,1)).expand((n, c, -1, w_new)) + ratios = ratios.reshape((1,1,-1,1)).expand((n, 1, -1, w_new)) + + pass_1 = result.gather(-2,coords_1).movedim(1, -1).reshape((-1,c)) + pass_2 = result.gather(-2,coords_2).movedim(1, -1).reshape((-1,c)) + ratios = ratios.movedim(1, -1).reshape((-1,1)) + + result = slerp(pass_1, pass_2, ratios) + result = result.reshape(n, h_new, w_new, c).movedim(-1, 1) + return result.to(orig_dtype) + +def lanczos(samples, width, height): + images = [Image.fromarray(np.clip(255. * image.movedim(0, -1).cpu().numpy(), 0, 255).astype(np.uint8)) for image in samples] + images = [image.resize((width, height), resample=Image.Resampling.LANCZOS) for image in images] + images = [torch.from_numpy(np.array(image).astype(np.float32) / 255.0).movedim(-1, 0) for image in images] + result = torch.stack(images) + return result.to(samples.device, samples.dtype) + +def common_upscale(samples, width, height, upscale_method, crop): + orig_shape = tuple(samples.shape) + if len(orig_shape) > 4: + samples = samples.reshape(samples.shape[0], samples.shape[1], -1, samples.shape[-2], samples.shape[-1]) + samples = samples.movedim(2, 1) + samples = samples.reshape(-1, orig_shape[1], orig_shape[-2], orig_shape[-1]) + if crop == "center": + old_width = samples.shape[-1] + old_height = samples.shape[-2] + old_aspect = old_width / old_height + new_aspect = width / height + x = 0 + y = 0 + if old_aspect > new_aspect: + x = round((old_width - old_width * (new_aspect / old_aspect)) / 2) + elif old_aspect < new_aspect: + y = round((old_height - old_height * (old_aspect / new_aspect)) / 2) + s = samples.narrow(-2, y, old_height - y * 2).narrow(-1, x, old_width - x * 2) + else: + s = samples + + if upscale_method == "bislerp": + out = bislerp(s, width, height) + elif upscale_method == "lanczos": + out = lanczos(s, width, height) + else: + out = torch.nn.functional.interpolate(s, size=(height, width), mode=upscale_method) + + if len(orig_shape) == 4: + return out + + out = out.reshape((orig_shape[0], -1, orig_shape[1]) + (height, width)) + return out.movedim(2, 1).reshape(orig_shape[:-2] + (height, width)) + +def get_tiled_scale_steps(width, height, tile_x, tile_y, overlap): + rows = 1 if height <= tile_y else math.ceil((height - overlap) / (tile_y - overlap)) + cols = 1 if width <= tile_x else math.ceil((width - overlap) / (tile_x - overlap)) + return rows * cols + +@torch.inference_mode() +def tiled_scale_multidim(samples, function, tile=(64, 64), overlap=8, upscale_amount=4, out_channels=3, output_device="cpu", downscale=False, index_formulas=None, pbar=None): + dims = len(tile) + + if not (isinstance(upscale_amount, (tuple, list))): + upscale_amount = [upscale_amount] * dims + + if not (isinstance(overlap, (tuple, list))): + overlap = [overlap] * dims + + if index_formulas is None: + index_formulas = upscale_amount + + if not (isinstance(index_formulas, (tuple, list))): + index_formulas = [index_formulas] * dims + + def get_upscale(dim, val): + up = upscale_amount[dim] + if callable(up): + return up(val) + else: + return up * val + + def get_downscale(dim, val): + up = upscale_amount[dim] + if callable(up): + return up(val) + else: + return val / up + + def get_upscale_pos(dim, val): + up = index_formulas[dim] + if callable(up): + return up(val) + else: + return up * val + + def get_downscale_pos(dim, val): + up = index_formulas[dim] + if callable(up): + return up(val) + else: + return val / up + + if downscale: + get_scale = get_downscale + get_pos = get_downscale_pos + else: + get_scale = get_upscale + get_pos = get_upscale_pos + + def mult_list_upscale(a): + out = [] + for i in range(len(a)): + out.append(round(get_scale(i, a[i]))) + return out + + output = torch.empty([samples.shape[0], out_channels] + mult_list_upscale(samples.shape[2:]), device=output_device) + + for b in range(samples.shape[0]): + s = samples[b:b+1] + + # handle entire input fitting in a single tile + if all(s.shape[d+2] <= tile[d] for d in range(dims)): + output[b:b+1] = function(s).to(output_device) + if pbar is not None: + pbar.update(1) + continue + + out = torch.zeros([s.shape[0], out_channels] + mult_list_upscale(s.shape[2:]), device=output_device) + out_div = torch.zeros([s.shape[0], out_channels] + mult_list_upscale(s.shape[2:]), device=output_device) + + positions = [range(0, s.shape[d+2] - overlap[d], tile[d] - overlap[d]) if s.shape[d+2] > tile[d] else [0] for d in range(dims)] + + for it in itertools.product(*positions): + s_in = s + upscaled = [] + + for d in range(dims): + pos = max(0, min(s.shape[d + 2] - overlap[d], it[d])) + l = min(tile[d], s.shape[d + 2] - pos) + s_in = s_in.narrow(d + 2, pos, l) + upscaled.append(round(get_pos(d, pos))) + + ps = function(s_in).to(output_device) + mask = torch.ones_like(ps) + + for d in range(2, dims + 2): + feather = round(get_scale(d - 2, overlap[d - 2])) + if feather >= mask.shape[d]: + continue + for t in range(feather): + a = (t + 1) / feather + mask.narrow(d, t, 1).mul_(a) + mask.narrow(d, mask.shape[d] - 1 - t, 1).mul_(a) + + o = out + o_d = out_div + for d in range(dims): + o = o.narrow(d + 2, upscaled[d], mask.shape[d + 2]) + o_d = o_d.narrow(d + 2, upscaled[d], mask.shape[d + 2]) + + o.add_(ps * mask) + o_d.add_(mask) + + if pbar is not None: + pbar.update(1) + + output[b:b+1] = out/out_div + return output + +def tiled_scale(samples, function, tile_x=64, tile_y=64, overlap = 8, upscale_amount = 4, out_channels = 3, output_device="cpu", pbar = None): + return tiled_scale_multidim(samples, function, (tile_y, tile_x), overlap=overlap, upscale_amount=upscale_amount, out_channels=out_channels, output_device=output_device, pbar=pbar) + +PROGRESS_BAR_ENABLED = True +def set_progress_bar_enabled(enabled): + global PROGRESS_BAR_ENABLED + PROGRESS_BAR_ENABLED = enabled + +PROGRESS_BAR_HOOK = None +def set_progress_bar_global_hook(function): + global PROGRESS_BAR_HOOK + PROGRESS_BAR_HOOK = function + +class ProgressBar: + def __init__(self, total, node_id=None): + global PROGRESS_BAR_HOOK + self.total = total + self.current = 0 + self.hook = PROGRESS_BAR_HOOK + self.node_id = node_id + + def update_absolute(self, value, total=None, preview=None): + if total is not None: + self.total = total + if value > self.total: + value = self.total + self.current = value + if self.hook is not None: + self.hook(self.current, self.total, preview, node_id=self.node_id) + + def update(self, value): + self.update_absolute(self.current + value) + +def reshape_mask(input_mask, output_shape): + dims = len(output_shape) - 2 + + if dims == 1: + scale_mode = "linear" + + if dims == 2: + input_mask = input_mask.reshape((-1, 1, input_mask.shape[-2], input_mask.shape[-1])) + scale_mode = "bilinear" + + if dims == 3: + if len(input_mask.shape) < 5: + input_mask = input_mask.reshape((1, 1, -1, input_mask.shape[-2], input_mask.shape[-1])) + scale_mode = "trilinear" + + mask = torch.nn.functional.interpolate(input_mask, size=output_shape[2:], mode=scale_mode) + if mask.shape[1] < output_shape[1]: + mask = mask.repeat((1, output_shape[1]) + (1,) * dims)[:,:output_shape[1]] + mask = repeat_to_batch_size(mask, output_shape[0]) + return mask + +def upscale_dit_mask(mask: torch.Tensor, img_size_in, img_size_out): + hi, wi = img_size_in + ho, wo = img_size_out + # if it's already the correct size, no need to do anything + if (hi, wi) == (ho, wo): + return mask + if mask.ndim == 2: + mask = mask.unsqueeze(0) + if mask.ndim != 3: + raise ValueError(f"Got a mask of shape {list(mask.shape)}, expected [b, q, k] or [q, k]") + txt_tokens = mask.shape[1] - (hi * wi) + # quadrants of the mask + txt_to_txt = mask[:, :txt_tokens, :txt_tokens] + txt_to_img = mask[:, :txt_tokens, txt_tokens:] + img_to_img = mask[:, txt_tokens:, txt_tokens:] + img_to_txt = mask[:, txt_tokens:, :txt_tokens] + + # convert to 1d x 2d, interpolate, then back to 1d x 1d + txt_to_img = rearrange (txt_to_img, "b t (h w) -> b t h w", h=hi, w=wi) + txt_to_img = interpolate(txt_to_img, size=img_size_out, mode="bilinear") + txt_to_img = rearrange (txt_to_img, "b t h w -> b t (h w)") + # this one is hard because we have to do it twice + # convert to 1d x 2d, interpolate, then to 2d x 1d, interpolate, then 1d x 1d + img_to_img = rearrange (img_to_img, "b hw (h w) -> b hw h w", h=hi, w=wi) + img_to_img = interpolate(img_to_img, size=img_size_out, mode="bilinear") + img_to_img = rearrange (img_to_img, "b (hk wk) hq wq -> b (hq wq) hk wk", hk=hi, wk=wi) + img_to_img = interpolate(img_to_img, size=img_size_out, mode="bilinear") + img_to_img = rearrange (img_to_img, "b (hq wq) hk wk -> b (hk wk) (hq wq)", hq=ho, wq=wo) + # convert to 2d x 1d, interpolate, then back to 1d x 1d + img_to_txt = rearrange (img_to_txt, "b (h w) t -> b t h w", h=hi, w=wi) + img_to_txt = interpolate(img_to_txt, size=img_size_out, mode="bilinear") + img_to_txt = rearrange (img_to_txt, "b t h w -> b (h w) t") + + # reassemble the mask from blocks + out = torch.cat([ + torch.cat([txt_to_txt, txt_to_img], dim=2), + torch.cat([img_to_txt, img_to_img], dim=2)], + dim=1 + ) + return out diff --git a/comfy/weight_adapter/__init__.py b/comfy/weight_adapter/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b40f920e400fc895443d4016076d1ded406ae258 --- /dev/null +++ b/comfy/weight_adapter/__init__.py @@ -0,0 +1,34 @@ +from .base import WeightAdapterBase, WeightAdapterTrainBase +from .lora import LoRAAdapter +from .loha import LoHaAdapter +from .lokr import LoKrAdapter +from .glora import GLoRAAdapter +from .oft import OFTAdapter +from .boft import BOFTAdapter + + +adapters: list[type[WeightAdapterBase]] = [ + LoRAAdapter, + LoHaAdapter, + LoKrAdapter, + GLoRAAdapter, + OFTAdapter, + BOFTAdapter, +] +adapter_maps: dict[str, type[WeightAdapterBase]] = { + "LoRA": LoRAAdapter, + "LoHa": LoHaAdapter, + "LoKr": LoKrAdapter, + "OFT": OFTAdapter, + ## We disable not implemented algo for now + # "GLoRA": GLoRAAdapter, + # "BOFT": BOFTAdapter, +} + + +__all__ = [ + "WeightAdapterBase", + "WeightAdapterTrainBase", + "adapters", + "adapter_maps", +] + [a.__name__ for a in adapters] diff --git a/comfy/weight_adapter/base.py b/comfy/weight_adapter/base.py new file mode 100644 index 0000000000000000000000000000000000000000..43644b106b0f647b4534af45f0273c38c7ed319b --- /dev/null +++ b/comfy/weight_adapter/base.py @@ -0,0 +1,175 @@ +from typing import Optional + +import torch +import torch.nn as nn + +import comfy.model_management + + +class WeightAdapterBase: + name: str + loaded_keys: set[str] + weights: list[torch.Tensor] + + @classmethod + def load(cls, x: str, lora: dict[str, torch.Tensor], alpha: float, dora_scale: torch.Tensor) -> Optional["WeightAdapterBase"]: + raise NotImplementedError + + def to_train(self) -> "WeightAdapterTrainBase": + raise NotImplementedError + + @classmethod + def create_train(cls, weight, *args) -> "WeightAdapterTrainBase": + """ + weight: The original weight tensor to be modified. + *args: Additional arguments for configuration, such as rank, alpha etc. + """ + raise NotImplementedError + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + raise NotImplementedError + + +class WeightAdapterTrainBase(nn.Module): + # We follow the scheme of PR #7032 + def __init__(self): + super().__init__() + + def __call__(self, w): + """ + w: The original weight tensor to be modified. + """ + raise NotImplementedError + + def passive_memory_usage(self): + raise NotImplementedError("passive_memory_usage is not implemented") + + def move_to(self, device): + self.to(device) + return self.passive_memory_usage() + + +def weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype, function): + dora_scale = comfy.model_management.cast_to_device(dora_scale, weight.device, intermediate_dtype) + lora_diff *= alpha + weight_calc = weight + function(lora_diff).type(weight.dtype) + + wd_on_output_axis = dora_scale.shape[0] == weight_calc.shape[0] + if wd_on_output_axis: + weight_norm = ( + weight.reshape(weight.shape[0], -1) + .norm(dim=1, keepdim=True) + .reshape(weight.shape[0], *[1] * (weight.dim() - 1)) + ) + else: + weight_norm = ( + weight_calc.transpose(0, 1) + .reshape(weight_calc.shape[1], -1) + .norm(dim=1, keepdim=True) + .reshape(weight_calc.shape[1], *[1] * (weight_calc.dim() - 1)) + .transpose(0, 1) + ) + weight_norm = weight_norm + torch.finfo(weight.dtype).eps + + weight_calc *= (dora_scale / weight_norm).type(weight.dtype) + if strength != 1.0: + weight_calc -= weight + weight += strength * (weight_calc) + else: + weight[:] = weight_calc + return weight + + +def pad_tensor_to_shape(tensor: torch.Tensor, new_shape: list[int]) -> torch.Tensor: + """ + Pad a tensor to a new shape with zeros. + + Args: + tensor (torch.Tensor): The original tensor to be padded. + new_shape (List[int]): The desired shape of the padded tensor. + + Returns: + torch.Tensor: A new tensor padded with zeros to the specified shape. + + Note: + If the new shape is smaller than the original tensor in any dimension, + the original tensor will be truncated in that dimension. + """ + if any([new_shape[i] < tensor.shape[i] for i in range(len(new_shape))]): + raise ValueError("The new shape must be larger than the original tensor in all dimensions") + + if len(new_shape) != len(tensor.shape): + raise ValueError("The new shape must have the same number of dimensions as the original tensor") + + # Create a new tensor filled with zeros + padded_tensor = torch.zeros(new_shape, dtype=tensor.dtype, device=tensor.device) + + # Create slicing tuples for both tensors + orig_slices = tuple(slice(0, dim) for dim in tensor.shape) + new_slices = tuple(slice(0, dim) for dim in tensor.shape) + + # Copy the original tensor into the new tensor + padded_tensor[new_slices] = tensor[orig_slices] + + return padded_tensor + + +def tucker_weight_from_conv(up, down, mid): + up = up.reshape(up.size(0), up.size(1)) + down = down.reshape(down.size(0), down.size(1)) + return torch.einsum("m n ..., i m, n j -> i j ...", mid, up, down) + + +def tucker_weight(wa, wb, t): + temp = torch.einsum("i j ..., j r -> i r ...", t, wb) + return torch.einsum("i j ..., i r -> r j ...", temp, wa) + + +def factorization(dimension: int, factor: int = -1) -> tuple[int, int]: + """ + return a tuple of two value of input dimension decomposed by the number closest to factor + second value is higher or equal than first value. + + examples) + factor + -1 2 4 8 16 ... + 127 -> 1, 127 127 -> 1, 127 127 -> 1, 127 127 -> 1, 127 127 -> 1, 127 + 128 -> 8, 16 128 -> 2, 64 128 -> 4, 32 128 -> 8, 16 128 -> 8, 16 + 250 -> 10, 25 250 -> 2, 125 250 -> 2, 125 250 -> 5, 50 250 -> 10, 25 + 360 -> 8, 45 360 -> 2, 180 360 -> 4, 90 360 -> 8, 45 360 -> 12, 30 + 512 -> 16, 32 512 -> 2, 256 512 -> 4, 128 512 -> 8, 64 512 -> 16, 32 + 1024 -> 32, 32 1024 -> 2, 512 1024 -> 4, 256 1024 -> 8, 128 1024 -> 16, 64 + """ + + if factor > 0 and (dimension % factor) == 0 and dimension >= factor**2: + m = factor + n = dimension // factor + if m > n: + n, m = m, n + return m, n + if factor < 0: + factor = dimension + m, n = 1, dimension + length = m + n + while m < n: + new_m = m + 1 + while dimension % new_m != 0: + new_m += 1 + new_n = dimension // new_m + if new_m + new_n > length or new_m > factor: + break + else: + m, n = new_m, new_n + if m > n: + n, m = m, n + return m, n diff --git a/comfy/weight_adapter/boft.py b/comfy/weight_adapter/boft.py new file mode 100644 index 0000000000000000000000000000000000000000..b2a2f1bd46bed5b177f9c583e8d329dc167af1c3 --- /dev/null +++ b/comfy/weight_adapter/boft.py @@ -0,0 +1,115 @@ +import logging +from typing import Optional + +import torch +import comfy.model_management +from .base import WeightAdapterBase, weight_decompose + + +class BOFTAdapter(WeightAdapterBase): + name = "boft" + + def __init__(self, loaded_keys, weights): + self.loaded_keys = loaded_keys + self.weights = weights + + @classmethod + def load( + cls, + x: str, + lora: dict[str, torch.Tensor], + alpha: float, + dora_scale: torch.Tensor, + loaded_keys: set[str] = None, + ) -> Optional["BOFTAdapter"]: + if loaded_keys is None: + loaded_keys = set() + blocks_name = "{}.oft_blocks".format(x) + rescale_name = "{}.rescale".format(x) + + blocks = None + if blocks_name in lora.keys(): + blocks = lora[blocks_name] + if blocks.ndim == 4: + loaded_keys.add(blocks_name) + else: + blocks = None + if blocks is None: + return None + + rescale = None + if rescale_name in lora.keys(): + rescale = lora[rescale_name] + loaded_keys.add(rescale_name) + + weights = (blocks, rescale, alpha, dora_scale) + return cls(loaded_keys, weights) + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + v = self.weights + blocks = v[0] + rescale = v[1] + alpha = v[2] + dora_scale = v[3] + + blocks = comfy.model_management.cast_to_device(blocks, weight.device, intermediate_dtype) + if rescale is not None: + rescale = comfy.model_management.cast_to_device(rescale, weight.device, intermediate_dtype) + + boft_m, block_num, boft_b, *_ = blocks.shape + + try: + # Get r + I = torch.eye(boft_b, device=blocks.device, dtype=blocks.dtype) + # for Q = -Q^T + q = blocks - blocks.transpose(-1, -2) + normed_q = q + if alpha > 0: # alpha in boft/bboft is for constraint + q_norm = torch.norm(q) + 1e-8 + if q_norm > alpha: + normed_q = q * alpha / q_norm + # use float() to prevent unsupported type in .inverse() + r = (I + normed_q) @ (I - normed_q).float().inverse() + r = r.to(weight) + inp = org = weight + + r_b = boft_b//2 + for i in range(boft_m): + bi = r[i] + g = 2 + k = 2**i * r_b + if strength != 1: + bi = bi * strength + (1-strength) * I + inp = ( + inp.unflatten(0, (-1, g, k)) + .transpose(1, 2) + .flatten(0, 2) + .unflatten(0, (-1, boft_b)) + ) + inp = torch.einsum("b i j, b j ...-> b i ...", bi, inp) + inp = ( + inp.flatten(0, 1).unflatten(0, (-1, k, g)).transpose(1, 2).flatten(0, 2) + ) + + if rescale is not None: + inp = inp * rescale + + lora_diff = inp - org + lora_diff = comfy.model_management.cast_to_device(lora_diff, weight.device, intermediate_dtype) + if dora_scale is not None: + weight = weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype, function) + else: + weight += function((strength * lora_diff).type(weight.dtype)) + except Exception as e: + logging.error("ERROR {} {} {}".format(self.name, key, e)) + return weight diff --git a/comfy/weight_adapter/glora.py b/comfy/weight_adapter/glora.py new file mode 100644 index 0000000000000000000000000000000000000000..939abbba584549b049da0073b4336efab05e1b65 --- /dev/null +++ b/comfy/weight_adapter/glora.py @@ -0,0 +1,93 @@ +import logging +from typing import Optional + +import torch +import comfy.model_management +from .base import WeightAdapterBase, weight_decompose + + +class GLoRAAdapter(WeightAdapterBase): + name = "glora" + + def __init__(self, loaded_keys, weights): + self.loaded_keys = loaded_keys + self.weights = weights + + @classmethod + def load( + cls, + x: str, + lora: dict[str, torch.Tensor], + alpha: float, + dora_scale: torch.Tensor, + loaded_keys: set[str] = None, + ) -> Optional["GLoRAAdapter"]: + if loaded_keys is None: + loaded_keys = set() + a1_name = "{}.a1.weight".format(x) + a2_name = "{}.a2.weight".format(x) + b1_name = "{}.b1.weight".format(x) + b2_name = "{}.b2.weight".format(x) + if a1_name in lora: + weights = (lora[a1_name], lora[a2_name], lora[b1_name], lora[b2_name], alpha, dora_scale) + loaded_keys.add(a1_name) + loaded_keys.add(a2_name) + loaded_keys.add(b1_name) + loaded_keys.add(b2_name) + return cls(loaded_keys, weights) + else: + return None + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + v = self.weights + dora_scale = v[5] + + old_glora = False + if v[3].shape[1] == v[2].shape[0] == v[0].shape[0] == v[1].shape[1]: + rank = v[0].shape[0] + old_glora = True + + if v[3].shape[0] == v[2].shape[1] == v[0].shape[1] == v[1].shape[0]: + if old_glora and v[1].shape[0] == weight.shape[0] and weight.shape[0] == weight.shape[1]: + pass + else: + old_glora = False + rank = v[1].shape[0] + + a1 = comfy.model_management.cast_to_device(v[0].flatten(start_dim=1), weight.device, intermediate_dtype) + a2 = comfy.model_management.cast_to_device(v[1].flatten(start_dim=1), weight.device, intermediate_dtype) + b1 = comfy.model_management.cast_to_device(v[2].flatten(start_dim=1), weight.device, intermediate_dtype) + b2 = comfy.model_management.cast_to_device(v[3].flatten(start_dim=1), weight.device, intermediate_dtype) + + if v[4] is not None: + alpha = v[4] / rank + else: + alpha = 1.0 + + try: + if old_glora: + lora_diff = (torch.mm(b2, b1) + torch.mm(torch.mm(weight.flatten(start_dim=1).to(dtype=intermediate_dtype), a2), a1)).reshape(weight.shape) #old lycoris glora + else: + if weight.dim() > 2: + lora_diff = torch.einsum("o i ..., i j -> o j ...", torch.einsum("o i ..., i j -> o j ...", weight.to(dtype=intermediate_dtype), a1), a2).reshape(weight.shape) + else: + lora_diff = torch.mm(torch.mm(weight.to(dtype=intermediate_dtype), a1), a2).reshape(weight.shape) + lora_diff += torch.mm(b1, b2).reshape(weight.shape) + + if dora_scale is not None: + weight = weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype, function) + else: + weight += function(((strength * alpha) * lora_diff).type(weight.dtype)) + except Exception as e: + logging.error("ERROR {} {} {}".format(self.name, key, e)) + return weight diff --git a/comfy/weight_adapter/loha.py b/comfy/weight_adapter/loha.py new file mode 100644 index 0000000000000000000000000000000000000000..55c97a3af0185029e03a68bb9a722d571051b407 --- /dev/null +++ b/comfy/weight_adapter/loha.py @@ -0,0 +1,232 @@ +import logging +from typing import Optional + +import torch +import comfy.model_management +from .base import WeightAdapterBase, WeightAdapterTrainBase, weight_decompose + + +class HadaWeight(torch.autograd.Function): + @staticmethod + def forward(ctx, w1u, w1d, w2u, w2d, scale=torch.tensor(1)): + ctx.save_for_backward(w1d, w1u, w2d, w2u, scale) + diff_weight = ((w1u @ w1d) * (w2u @ w2d)) * scale + return diff_weight + + @staticmethod + def backward(ctx, grad_out): + (w1d, w1u, w2d, w2u, scale) = ctx.saved_tensors + grad_out = grad_out * scale + temp = grad_out * (w2u @ w2d) + grad_w1u = temp @ w1d.T + grad_w1d = w1u.T @ temp + + temp = grad_out * (w1u @ w1d) + grad_w2u = temp @ w2d.T + grad_w2d = w2u.T @ temp + + del temp + return grad_w1u, grad_w1d, grad_w2u, grad_w2d, None + + +class HadaWeightTucker(torch.autograd.Function): + @staticmethod + def forward(ctx, t1, w1u, w1d, t2, w2u, w2d, scale=torch.tensor(1)): + ctx.save_for_backward(t1, w1d, w1u, t2, w2d, w2u, scale) + + rebuild1 = torch.einsum("i j ..., j r, i p -> p r ...", t1, w1d, w1u) + rebuild2 = torch.einsum("i j ..., j r, i p -> p r ...", t2, w2d, w2u) + + return rebuild1 * rebuild2 * scale + + @staticmethod + def backward(ctx, grad_out): + (t1, w1d, w1u, t2, w2d, w2u, scale) = ctx.saved_tensors + grad_out = grad_out * scale + + temp = torch.einsum("i j ..., j r -> i r ...", t2, w2d) + rebuild = torch.einsum("i j ..., i r -> r j ...", temp, w2u) + + grad_w = rebuild * grad_out + del rebuild + + grad_w1u = torch.einsum("r j ..., i j ... -> r i", temp, grad_w) + grad_temp = torch.einsum("i j ..., i r -> r j ...", grad_w, w1u.T) + del grad_w, temp + + grad_w1d = torch.einsum("i r ..., i j ... -> r j", t1, grad_temp) + grad_t1 = torch.einsum("i j ..., j r -> i r ...", grad_temp, w1d.T) + del grad_temp + + temp = torch.einsum("i j ..., j r -> i r ...", t1, w1d) + rebuild = torch.einsum("i j ..., i r -> r j ...", temp, w1u) + + grad_w = rebuild * grad_out + del rebuild + + grad_w2u = torch.einsum("r j ..., i j ... -> r i", temp, grad_w) + grad_temp = torch.einsum("i j ..., i r -> r j ...", grad_w, w2u.T) + del grad_w, temp + + grad_w2d = torch.einsum("i r ..., i j ... -> r j", t2, grad_temp) + grad_t2 = torch.einsum("i j ..., j r -> i r ...", grad_temp, w2d.T) + del grad_temp + return grad_t1, grad_w1u, grad_w1d, grad_t2, grad_w2u, grad_w2d, None + + +class LohaDiff(WeightAdapterTrainBase): + def __init__(self, weights): + super().__init__() + # Unpack weights tuple from LoHaAdapter + w1a, w1b, alpha, w2a, w2b, t1, t2, _ = weights + + # Create trainable parameters + self.hada_w1_a = torch.nn.Parameter(w1a) + self.hada_w1_b = torch.nn.Parameter(w1b) + self.hada_w2_a = torch.nn.Parameter(w2a) + self.hada_w2_b = torch.nn.Parameter(w2b) + + self.use_tucker = False + if t1 is not None and t2 is not None: + self.use_tucker = True + self.hada_t1 = torch.nn.Parameter(t1) + self.hada_t2 = torch.nn.Parameter(t2) + else: + # Keep the attributes for consistent access + self.hada_t1 = None + self.hada_t2 = None + + # Store rank and non-trainable alpha + self.rank = w1b.shape[0] + self.alpha = torch.nn.Parameter(torch.tensor(alpha), requires_grad=False) + + def __call__(self, w): + org_dtype = w.dtype + + scale = self.alpha / self.rank + if self.use_tucker: + diff_weight = HadaWeightTucker.apply(self.hada_t1, self.hada_w1_a, self.hada_w1_b, self.hada_t2, self.hada_w2_a, self.hada_w2_b, scale) + else: + diff_weight = HadaWeight.apply(self.hada_w1_a, self.hada_w1_b, self.hada_w2_a, self.hada_w2_b, scale) + + # Add the scaled difference to the original weight + weight = w.to(diff_weight) + diff_weight.reshape(w.shape) + + return weight.to(org_dtype) + + def passive_memory_usage(self): + """Calculates memory usage of the trainable parameters.""" + return sum(param.numel() * param.element_size() for param in self.parameters()) + + +class LoHaAdapter(WeightAdapterBase): + name = "loha" + + def __init__(self, loaded_keys, weights): + self.loaded_keys = loaded_keys + self.weights = weights + + @classmethod + def create_train(cls, weight, rank=1, alpha=1.0): + out_dim = weight.shape[0] + in_dim = weight.shape[1:].numel() + mat1 = torch.empty(out_dim, rank, device=weight.device, dtype=weight.dtype) + mat2 = torch.empty(rank, in_dim, device=weight.device, dtype=weight.dtype) + torch.nn.init.normal_(mat1, 0.1) + torch.nn.init.constant_(mat2, 0.0) + mat3 = torch.empty(out_dim, rank, device=weight.device, dtype=weight.dtype) + mat4 = torch.empty(rank, in_dim, device=weight.device, dtype=weight.dtype) + torch.nn.init.normal_(mat3, 0.1) + torch.nn.init.normal_(mat4, 0.01) + return LohaDiff( + (mat1, mat2, alpha, mat3, mat4, None, None, None) + ) + + def to_train(self): + return LohaDiff(self.weights) + + @classmethod + def load( + cls, + x: str, + lora: dict[str, torch.Tensor], + alpha: float, + dora_scale: torch.Tensor, + loaded_keys: set[str] = None, + ) -> Optional["LoHaAdapter"]: + if loaded_keys is None: + loaded_keys = set() + + hada_w1_a_name = "{}.hada_w1_a".format(x) + hada_w1_b_name = "{}.hada_w1_b".format(x) + hada_w2_a_name = "{}.hada_w2_a".format(x) + hada_w2_b_name = "{}.hada_w2_b".format(x) + hada_t1_name = "{}.hada_t1".format(x) + hada_t2_name = "{}.hada_t2".format(x) + if hada_w1_a_name in lora.keys(): + hada_t1 = None + hada_t2 = None + if hada_t1_name in lora.keys(): + hada_t1 = lora[hada_t1_name] + hada_t2 = lora[hada_t2_name] + loaded_keys.add(hada_t1_name) + loaded_keys.add(hada_t2_name) + + weights = (lora[hada_w1_a_name], lora[hada_w1_b_name], alpha, lora[hada_w2_a_name], lora[hada_w2_b_name], hada_t1, hada_t2, dora_scale) + loaded_keys.add(hada_w1_a_name) + loaded_keys.add(hada_w1_b_name) + loaded_keys.add(hada_w2_a_name) + loaded_keys.add(hada_w2_b_name) + return cls(loaded_keys, weights) + else: + return None + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + v = self.weights + w1a = v[0] + w1b = v[1] + if v[2] is not None: + alpha = v[2] / w1b.shape[0] + else: + alpha = 1.0 + + w2a = v[3] + w2b = v[4] + dora_scale = v[7] + if v[5] is not None: #cp decomposition + t1 = v[5] + t2 = v[6] + m1 = torch.einsum('i j k l, j r, i p -> p r k l', + comfy.model_management.cast_to_device(t1, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w1b, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w1a, weight.device, intermediate_dtype)) + + m2 = torch.einsum('i j k l, j r, i p -> p r k l', + comfy.model_management.cast_to_device(t2, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w2b, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w2a, weight.device, intermediate_dtype)) + else: + m1 = torch.mm(comfy.model_management.cast_to_device(w1a, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w1b, weight.device, intermediate_dtype)) + m2 = torch.mm(comfy.model_management.cast_to_device(w2a, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w2b, weight.device, intermediate_dtype)) + + try: + lora_diff = (m1 * m2).reshape(weight.shape) + if dora_scale is not None: + weight = weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype, function) + else: + weight += function(((strength * alpha) * lora_diff).type(weight.dtype)) + except Exception as e: + logging.error("ERROR {} {} {}".format(self.name, key, e)) + return weight diff --git a/comfy/weight_adapter/lokr.py b/comfy/weight_adapter/lokr.py new file mode 100644 index 0000000000000000000000000000000000000000..563c835f55bab56c38a22666c9dd2674570d7fee --- /dev/null +++ b/comfy/weight_adapter/lokr.py @@ -0,0 +1,220 @@ +import logging +from typing import Optional + +import torch +import comfy.model_management +from .base import ( + WeightAdapterBase, + WeightAdapterTrainBase, + weight_decompose, + factorization, +) + + +class LokrDiff(WeightAdapterTrainBase): + def __init__(self, weights): + super().__init__() + (lokr_w1, lokr_w2, alpha, lokr_w1_a, lokr_w1_b, lokr_w2_a, lokr_w2_b, lokr_t2, dora_scale) = weights + self.use_tucker = False + if lokr_w1_a is not None: + _, rank_a = lokr_w1_a.shape[0], lokr_w1_a.shape[1] + rank_a, _ = lokr_w1_b.shape[0], lokr_w1_b.shape[1] + self.lokr_w1_a = torch.nn.Parameter(lokr_w1_a) + self.lokr_w1_b = torch.nn.Parameter(lokr_w1_b) + self.w1_rebuild = True + self.ranka = rank_a + + if lokr_w2_a is not None: + _, rank_b = lokr_w2_a.shape[0], lokr_w2_a.shape[1] + rank_b, _ = lokr_w2_b.shape[0], lokr_w2_b.shape[1] + self.lokr_w2_a = torch.nn.Parameter(lokr_w2_a) + self.lokr_w2_b = torch.nn.Parameter(lokr_w2_b) + if lokr_t2 is not None: + self.use_tucker = True + self.lokr_t2 = torch.nn.Parameter(lokr_t2) + self.w2_rebuild = True + self.rankb = rank_b + + if lokr_w1 is not None: + self.lokr_w1 = torch.nn.Parameter(lokr_w1) + self.w1_rebuild = False + + if lokr_w2 is not None: + self.lokr_w2 = torch.nn.Parameter(lokr_w2) + self.w2_rebuild = False + + self.alpha = torch.nn.Parameter(torch.tensor(alpha), requires_grad=False) + + @property + def w1(self): + if self.w1_rebuild: + return (self.lokr_w1_a @ self.lokr_w1_b) * (self.alpha / self.ranka) + else: + return self.lokr_w1 + + @property + def w2(self): + if self.w2_rebuild: + if self.use_tucker: + w2 = torch.einsum( + 'i j k l, j r, i p -> p r k l', + self.lokr_t2, + self.lokr_w2_b, + self.lokr_w2_a + ) + else: + w2 = self.lokr_w2_a @ self.lokr_w2_b + return w2 * (self.alpha / self.rankb) + else: + return self.lokr_w2 + + def __call__(self, w): + diff = torch.kron(self.w1, self.w2) + return w + diff.reshape(w.shape).to(w) + + def passive_memory_usage(self): + return sum(param.numel() * param.element_size() for param in self.parameters()) + + +class LoKrAdapter(WeightAdapterBase): + name = "lokr" + + def __init__(self, loaded_keys, weights): + self.loaded_keys = loaded_keys + self.weights = weights + + @classmethod + def create_train(cls, weight, rank=1, alpha=1.0): + out_dim = weight.shape[0] + in_dim = weight.shape[1:].numel() + out1, out2 = factorization(out_dim, rank) + in1, in2 = factorization(in_dim, rank) + mat1 = torch.empty(out1, in1, device=weight.device, dtype=weight.dtype) + mat2 = torch.empty(out2, in2, device=weight.device, dtype=weight.dtype) + torch.nn.init.kaiming_uniform_(mat2, a=5**0.5) + torch.nn.init.constant_(mat1, 0.0) + return LokrDiff( + (mat1, mat2, alpha, None, None, None, None, None, None) + ) + + def to_train(self): + return LokrDiff(self.weights) + + @classmethod + def load( + cls, + x: str, + lora: dict[str, torch.Tensor], + alpha: float, + dora_scale: torch.Tensor, + loaded_keys: set[str] = None, + ) -> Optional["LoKrAdapter"]: + if loaded_keys is None: + loaded_keys = set() + lokr_w1_name = "{}.lokr_w1".format(x) + lokr_w2_name = "{}.lokr_w2".format(x) + lokr_w1_a_name = "{}.lokr_w1_a".format(x) + lokr_w1_b_name = "{}.lokr_w1_b".format(x) + lokr_t2_name = "{}.lokr_t2".format(x) + lokr_w2_a_name = "{}.lokr_w2_a".format(x) + lokr_w2_b_name = "{}.lokr_w2_b".format(x) + + lokr_w1 = None + if lokr_w1_name in lora.keys(): + lokr_w1 = lora[lokr_w1_name] + loaded_keys.add(lokr_w1_name) + + lokr_w2 = None + if lokr_w2_name in lora.keys(): + lokr_w2 = lora[lokr_w2_name] + loaded_keys.add(lokr_w2_name) + + lokr_w1_a = None + if lokr_w1_a_name in lora.keys(): + lokr_w1_a = lora[lokr_w1_a_name] + loaded_keys.add(lokr_w1_a_name) + + lokr_w1_b = None + if lokr_w1_b_name in lora.keys(): + lokr_w1_b = lora[lokr_w1_b_name] + loaded_keys.add(lokr_w1_b_name) + + lokr_w2_a = None + if lokr_w2_a_name in lora.keys(): + lokr_w2_a = lora[lokr_w2_a_name] + loaded_keys.add(lokr_w2_a_name) + + lokr_w2_b = None + if lokr_w2_b_name in lora.keys(): + lokr_w2_b = lora[lokr_w2_b_name] + loaded_keys.add(lokr_w2_b_name) + + lokr_t2 = None + if lokr_t2_name in lora.keys(): + lokr_t2 = lora[lokr_t2_name] + loaded_keys.add(lokr_t2_name) + + if (lokr_w1 is not None) or (lokr_w2 is not None) or (lokr_w1_a is not None) or (lokr_w2_a is not None): + weights = (lokr_w1, lokr_w2, alpha, lokr_w1_a, lokr_w1_b, lokr_w2_a, lokr_w2_b, lokr_t2, dora_scale) + return cls(loaded_keys, weights) + else: + return None + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + v = self.weights + w1 = v[0] + w2 = v[1] + w1_a = v[3] + w1_b = v[4] + w2_a = v[5] + w2_b = v[6] + t2 = v[7] + dora_scale = v[8] + dim = None + + if w1 is None: + dim = w1_b.shape[0] + w1 = torch.mm(comfy.model_management.cast_to_device(w1_a, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w1_b, weight.device, intermediate_dtype)) + else: + w1 = comfy.model_management.cast_to_device(w1, weight.device, intermediate_dtype) + + if w2 is None: + dim = w2_b.shape[0] + if t2 is None: + w2 = torch.mm(comfy.model_management.cast_to_device(w2_a, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w2_b, weight.device, intermediate_dtype)) + else: + w2 = torch.einsum('i j k l, j r, i p -> p r k l', + comfy.model_management.cast_to_device(t2, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w2_b, weight.device, intermediate_dtype), + comfy.model_management.cast_to_device(w2_a, weight.device, intermediate_dtype)) + else: + w2 = comfy.model_management.cast_to_device(w2, weight.device, intermediate_dtype) + + if len(w2.shape) == 4: + w1 = w1.unsqueeze(2).unsqueeze(2) + if v[2] is not None and dim is not None: + alpha = v[2] / dim + else: + alpha = 1.0 + + try: + lora_diff = torch.kron(w1, w2).reshape(weight.shape) + if dora_scale is not None: + weight = weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype, function) + else: + weight += function(((strength * alpha) * lora_diff).type(weight.dtype)) + except Exception as e: + logging.error("ERROR {} {} {}".format(self.name, key, e)) + return weight diff --git a/comfy/weight_adapter/lora.py b/comfy/weight_adapter/lora.py new file mode 100644 index 0000000000000000000000000000000000000000..47aa17d13403af76d436cccc2d0531695b402c30 --- /dev/null +++ b/comfy/weight_adapter/lora.py @@ -0,0 +1,211 @@ +import logging +from typing import Optional + +import torch +import comfy.model_management +from .base import ( + WeightAdapterBase, + WeightAdapterTrainBase, + weight_decompose, + pad_tensor_to_shape, + tucker_weight_from_conv, +) + + +class LoraDiff(WeightAdapterTrainBase): + def __init__(self, weights): + super().__init__() + mat1, mat2, alpha, mid, dora_scale, reshape = weights + out_dim, rank = mat1.shape[0], mat1.shape[1] + rank, in_dim = mat2.shape[0], mat2.shape[1] + if mid is not None: + convdim = mid.ndim - 2 + layer = ( + torch.nn.Conv1d, + torch.nn.Conv2d, + torch.nn.Conv3d + )[convdim] + else: + layer = torch.nn.Linear + self.lora_up = layer(rank, out_dim, bias=False) + self.lora_down = layer(in_dim, rank, bias=False) + self.lora_up.weight.data.copy_(mat1) + self.lora_down.weight.data.copy_(mat2) + if mid is not None: + self.lora_mid = layer(mid, rank, bias=False) + self.lora_mid.weight.data.copy_(mid) + else: + self.lora_mid = None + self.rank = rank + self.alpha = torch.nn.Parameter(torch.tensor(alpha), requires_grad=False) + + def __call__(self, w): + org_dtype = w.dtype + if self.lora_mid is None: + diff = self.lora_up.weight @ self.lora_down.weight + else: + diff = tucker_weight_from_conv( + self.lora_up.weight, self.lora_down.weight, self.lora_mid.weight + ) + scale = self.alpha / self.rank + weight = w + scale * diff.reshape(w.shape) + return weight.to(org_dtype) + + def passive_memory_usage(self): + return sum(param.numel() * param.element_size() for param in self.parameters()) + + +class LoRAAdapter(WeightAdapterBase): + name = "lora" + + def __init__(self, loaded_keys, weights): + self.loaded_keys = loaded_keys + self.weights = weights + + @classmethod + def create_train(cls, weight, rank=1, alpha=1.0): + out_dim = weight.shape[0] + in_dim = weight.shape[1:].numel() + mat1 = torch.empty(out_dim, rank, device=weight.device, dtype=weight.dtype) + mat2 = torch.empty(rank, in_dim, device=weight.device, dtype=weight.dtype) + torch.nn.init.kaiming_uniform_(mat1, a=5**0.5) + torch.nn.init.constant_(mat2, 0.0) + return LoraDiff( + (mat1, mat2, alpha, None, None, None) + ) + + def to_train(self): + return LoraDiff(self.weights) + + @classmethod + def load( + cls, + x: str, + lora: dict[str, torch.Tensor], + alpha: float, + dora_scale: torch.Tensor, + loaded_keys: set[str] = None, + ) -> Optional["LoRAAdapter"]: + if loaded_keys is None: + loaded_keys = set() + + reshape_name = "{}.reshape_weight".format(x) + regular_lora = "{}.lora_up.weight".format(x) + diffusers_lora = "{}_lora.up.weight".format(x) + diffusers2_lora = "{}.lora_B.weight".format(x) + diffusers3_lora = "{}.lora.up.weight".format(x) + mochi_lora = "{}.lora_B".format(x) + transformers_lora = "{}.lora_linear_layer.up.weight".format(x) + qwen_default_lora = "{}.lora_B.default.weight".format(x) + A_name = None + + if regular_lora in lora.keys(): + A_name = regular_lora + B_name = "{}.lora_down.weight".format(x) + mid_name = "{}.lora_mid.weight".format(x) + elif diffusers_lora in lora.keys(): + A_name = diffusers_lora + B_name = "{}_lora.down.weight".format(x) + mid_name = None + elif diffusers2_lora in lora.keys(): + A_name = diffusers2_lora + B_name = "{}.lora_A.weight".format(x) + mid_name = None + elif diffusers3_lora in lora.keys(): + A_name = diffusers3_lora + B_name = "{}.lora.down.weight".format(x) + mid_name = None + elif mochi_lora in lora.keys(): + A_name = mochi_lora + B_name = "{}.lora_A".format(x) + mid_name = None + elif transformers_lora in lora.keys(): + A_name = transformers_lora + B_name = "{}.lora_linear_layer.down.weight".format(x) + mid_name = None + elif qwen_default_lora in lora.keys(): + A_name = qwen_default_lora + B_name = "{}.lora_A.default.weight".format(x) + mid_name = None + + if A_name is not None: + mid = None + if mid_name is not None and mid_name in lora.keys(): + mid = lora[mid_name] + loaded_keys.add(mid_name) + reshape = None + if reshape_name in lora.keys(): + try: + reshape = lora[reshape_name].tolist() + loaded_keys.add(reshape_name) + except: + pass + weights = (lora[A_name], lora[B_name], alpha, mid, dora_scale, reshape) + loaded_keys.add(A_name) + loaded_keys.add(B_name) + return cls(loaded_keys, weights) + else: + return None + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + v = self.weights + mat1 = comfy.model_management.cast_to_device( + v[0], weight.device, intermediate_dtype + ) + mat2 = comfy.model_management.cast_to_device( + v[1], weight.device, intermediate_dtype + ) + dora_scale = v[4] + reshape = v[5] + + if reshape is not None: + weight = pad_tensor_to_shape(weight, reshape) + + if v[2] is not None: + alpha = v[2] / mat2.shape[0] + else: + alpha = 1.0 + + if v[3] is not None: + # locon mid weights, hopefully the math is fine because I didn't properly test it + mat3 = comfy.model_management.cast_to_device( + v[3], weight.device, intermediate_dtype + ) + final_shape = [mat2.shape[1], mat2.shape[0], mat3.shape[2], mat3.shape[3]] + mat2 = ( + torch.mm( + mat2.transpose(0, 1).flatten(start_dim=1), + mat3.transpose(0, 1).flatten(start_dim=1), + ) + .reshape(final_shape) + .transpose(0, 1) + ) + try: + lora_diff = torch.mm( + mat1.flatten(start_dim=1), mat2.flatten(start_dim=1) + ).reshape(weight.shape) + if dora_scale is not None: + weight = weight_decompose( + dora_scale, + weight, + lora_diff, + alpha, + strength, + intermediate_dtype, + function, + ) + else: + weight += function(((strength * alpha) * lora_diff).type(weight.dtype)) + except Exception as e: + logging.error("ERROR {} {} {}".format(self.name, key, e)) + return weight diff --git a/comfy/weight_adapter/oft.py b/comfy/weight_adapter/oft.py new file mode 100644 index 0000000000000000000000000000000000000000..9d498208327f2d25b6cac3e6cb7c272c1bea91a1 --- /dev/null +++ b/comfy/weight_adapter/oft.py @@ -0,0 +1,161 @@ +import logging +from typing import Optional + +import torch +import comfy.model_management +from .base import WeightAdapterBase, WeightAdapterTrainBase, weight_decompose, factorization + + +class OFTDiff(WeightAdapterTrainBase): + def __init__(self, weights): + super().__init__() + # Unpack weights tuple from LoHaAdapter + blocks, rescale, alpha, _ = weights + + # Create trainable parameters + self.oft_blocks = torch.nn.Parameter(blocks) + if rescale is not None: + self.rescale = torch.nn.Parameter(rescale) + self.rescaled = True + else: + self.rescaled = False + self.block_num, self.block_size, _ = blocks.shape + self.constraint = float(alpha) + self.alpha = torch.nn.Parameter(torch.tensor(alpha), requires_grad=False) + + def __call__(self, w): + org_dtype = w.dtype + I = torch.eye(self.block_size, device=self.oft_blocks.device) + + ## generate r + # for Q = -Q^T + q = self.oft_blocks - self.oft_blocks.transpose(1, 2) + normed_q = q + if self.constraint: + q_norm = torch.norm(q) + 1e-8 + if q_norm > self.constraint: + normed_q = q * self.constraint / q_norm + # use float() to prevent unsupported type + r = (I + normed_q) @ (I - normed_q).float().inverse() + + ## Apply chunked matmul on weight + _, *shape = w.shape + org_weight = w.to(dtype=r.dtype) + org_weight = org_weight.unflatten(0, (self.block_num, self.block_size)) + # Init R=0, so add I on it to ensure the output of step0 is original model output + weight = torch.einsum( + "k n m, k n ... -> k m ...", + r, + org_weight, + ).flatten(0, 1) + if self.rescaled: + weight = self.rescale * weight + return weight.to(org_dtype) + + def passive_memory_usage(self): + """Calculates memory usage of the trainable parameters.""" + return sum(param.numel() * param.element_size() for param in self.parameters()) + + +class OFTAdapter(WeightAdapterBase): + name = "oft" + + def __init__(self, loaded_keys, weights): + self.loaded_keys = loaded_keys + self.weights = weights + + @classmethod + def create_train(cls, weight, rank=1, alpha=1.0): + out_dim = weight.shape[0] + block_size, block_num = factorization(out_dim, rank) + block = torch.zeros(block_num, block_size, block_size, device=weight.device, dtype=weight.dtype) + return OFTDiff( + (block, None, alpha, None) + ) + + def to_train(self): + return OFTDiff(self.weights) + + @classmethod + def load( + cls, + x: str, + lora: dict[str, torch.Tensor], + alpha: float, + dora_scale: torch.Tensor, + loaded_keys: set[str] = None, + ) -> Optional["OFTAdapter"]: + if loaded_keys is None: + loaded_keys = set() + blocks_name = "{}.oft_blocks".format(x) + rescale_name = "{}.rescale".format(x) + + blocks = None + if blocks_name in lora.keys(): + blocks = lora[blocks_name] + if blocks.ndim == 3: + loaded_keys.add(blocks_name) + else: + blocks = None + if blocks is None: + return None + + rescale = None + if rescale_name in lora.keys(): + rescale = lora[rescale_name] + loaded_keys.add(rescale_name) + + weights = (blocks, rescale, alpha, dora_scale) + return cls(loaded_keys, weights) + + def calculate_weight( + self, + weight, + key, + strength, + strength_model, + offset, + function, + intermediate_dtype=torch.float32, + original_weight=None, + ): + v = self.weights + blocks = v[0] + rescale = v[1] + alpha = v[2] + if alpha is None: + alpha = 0 + dora_scale = v[3] + + blocks = comfy.model_management.cast_to_device(blocks, weight.device, intermediate_dtype) + if rescale is not None: + rescale = comfy.model_management.cast_to_device(rescale, weight.device, intermediate_dtype) + + block_num, block_size, *_ = blocks.shape + + try: + # Get r + I = torch.eye(block_size, device=blocks.device, dtype=blocks.dtype) + # for Q = -Q^T + q = blocks - blocks.transpose(1, 2) + normed_q = q + if alpha > 0: # alpha in oft/boft is for constraint + q_norm = torch.norm(q) + 1e-8 + if q_norm > alpha: + normed_q = q * alpha / q_norm + # use float() to prevent unsupported type in .inverse() + r = (I + normed_q) @ (I - normed_q).float().inverse() + r = r.to(weight) + _, *shape = weight.shape + lora_diff = torch.einsum( + "k n m, k n ... -> k m ...", + (r * strength) - strength * I, + weight.view(block_num, block_size, *shape), + ).view(-1, *shape) + if dora_scale is not None: + weight = weight_decompose(dora_scale, weight, lora_diff, alpha, strength, intermediate_dtype, function) + else: + weight += function((strength * lora_diff).type(weight.dtype)) + except Exception as e: + logging.error("ERROR {} {} {}".format(self.name, key, e)) + return weight diff --git a/comfy_api/feature_flags.py b/comfy_api/feature_flags.py new file mode 100644 index 0000000000000000000000000000000000000000..0d4389a6e9e731a8b9e0f994584ab494981eacbc --- /dev/null +++ b/comfy_api/feature_flags.py @@ -0,0 +1,69 @@ +""" +Feature flags module for ComfyUI WebSocket protocol negotiation. + +This module handles capability negotiation between frontend and backend, +allowing graceful protocol evolution while maintaining backward compatibility. +""" + +from typing import Any, Dict + +from comfy.cli_args import args + +# Default server capabilities +SERVER_FEATURE_FLAGS: Dict[str, Any] = { + "supports_preview_metadata": True, + "max_upload_size": args.max_upload_size * 1024 * 1024, # Convert MB to bytes +} + + +def get_connection_feature( + sockets_metadata: Dict[str, Dict[str, Any]], + sid: str, + feature_name: str, + default: Any = False +) -> Any: + """ + Get a feature flag value for a specific connection. + + Args: + sockets_metadata: Dictionary of socket metadata + sid: Session ID of the connection + feature_name: Name of the feature to check + default: Default value if feature not found + + Returns: + Feature value or default if not found + """ + if sid not in sockets_metadata: + return default + + return sockets_metadata[sid].get("feature_flags", {}).get(feature_name, default) + + +def supports_feature( + sockets_metadata: Dict[str, Dict[str, Any]], + sid: str, + feature_name: str +) -> bool: + """ + Check if a connection supports a specific feature. + + Args: + sockets_metadata: Dictionary of socket metadata + sid: Session ID of the connection + feature_name: Name of the feature to check + + Returns: + Boolean indicating if feature is supported + """ + return get_connection_feature(sockets_metadata, sid, feature_name, False) is True + + +def get_server_features() -> Dict[str, Any]: + """ + Get the server's feature flags. + + Returns: + Dictionary of server feature flags + """ + return SERVER_FEATURE_FLAGS.copy() diff --git a/comfy_api/generate_api_stubs.py b/comfy_api/generate_api_stubs.py new file mode 100644 index 0000000000000000000000000000000000000000..604a7eced8a5a408e77c75a7889f9c25fe3771d4 --- /dev/null +++ b/comfy_api/generate_api_stubs.py @@ -0,0 +1,86 @@ +#!/usr/bin/env python3 +""" +Script to generate .pyi stub files for the synchronous API wrappers. +This allows generating stubs without running the full ComfyUI application. +""" + +import os +import sys +import logging +import importlib + +# Add ComfyUI to path so we can import modules +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from comfy_api.internal.async_to_sync import AsyncToSyncConverter +from comfy_api.version_list import supported_versions + + +def generate_stubs_for_module(module_name: str) -> None: + """Generate stub files for a specific module that exports ComfyAPI and ComfyAPISync.""" + try: + # Import the module + module = importlib.import_module(module_name) + + # Check if module has ComfyAPISync (the sync wrapper) + if hasattr(module, "ComfyAPISync"): + # Module already has a sync class + api_class = getattr(module, "ComfyAPI", None) + sync_class = getattr(module, "ComfyAPISync") + + if api_class: + # Generate the stub file + AsyncToSyncConverter.generate_stub_file(api_class, sync_class) + logging.info(f"Generated stub file for {module_name}") + else: + logging.warning( + f"Module {module_name} has ComfyAPISync but no ComfyAPI" + ) + + elif hasattr(module, "ComfyAPI"): + # Module only has async API, need to create sync wrapper first + from comfy_api.internal.async_to_sync import create_sync_class + + api_class = getattr(module, "ComfyAPI") + sync_class = create_sync_class(api_class) + + # Generate the stub file + AsyncToSyncConverter.generate_stub_file(api_class, sync_class) + logging.info(f"Generated stub file for {module_name}") + else: + logging.warning( + f"Module {module_name} does not export ComfyAPI or ComfyAPISync" + ) + + except Exception as e: + logging.error(f"Failed to generate stub for {module_name}: {e}") + import traceback + + traceback.print_exc() + + +def main(): + """Main function to generate all API stub files.""" + logging.basicConfig(level=logging.INFO) + + logging.info("Starting stub generation...") + + # Dynamically get module names from supported_versions + api_modules = [] + for api_class in supported_versions: + # Extract module name from the class + module_name = api_class.__module__ + if module_name not in api_modules: + api_modules.append(module_name) + + logging.info(f"Found {len(api_modules)} API modules: {api_modules}") + + # Generate stubs for each module + for module_name in api_modules: + generate_stubs_for_module(module_name) + + logging.info("Stub generation complete!") + + +if __name__ == "__main__": + main() diff --git a/comfy_api/input/__init__.py b/comfy_api/input/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..68ff782706e8ab4f8d40917f8ff5b8aea54c7f51 --- /dev/null +++ b/comfy_api/input/__init__.py @@ -0,0 +1,16 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._input import ( + ImageInput, + AudioInput, + MaskInput, + LatentInput, + VideoInput, +) + +__all__ = [ + "ImageInput", + "AudioInput", + "MaskInput", + "LatentInput", + "VideoInput", +] diff --git a/comfy_api/input/basic_types.py b/comfy_api/input/basic_types.py new file mode 100644 index 0000000000000000000000000000000000000000..5eadce86ac4462c7fd825e1171afa6b315a6be38 --- /dev/null +++ b/comfy_api/input/basic_types.py @@ -0,0 +1,14 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._input.basic_types import ( + ImageInput, + AudioInput, + MaskInput, + LatentInput, +) + +__all__ = [ + "ImageInput", + "AudioInput", + "MaskInput", + "LatentInput", +] diff --git a/comfy_api/input/video_types.py b/comfy_api/input/video_types.py new file mode 100644 index 0000000000000000000000000000000000000000..9ace78cbc039eb0de063ea1ec080134a2b44cac6 --- /dev/null +++ b/comfy_api/input/video_types.py @@ -0,0 +1,6 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._input.video_types import VideoInput + +__all__ = [ + "VideoInput", +] diff --git a/comfy_api/input_impl/__init__.py b/comfy_api/input_impl/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b78ff0c08fbe31f073a38c580f4648eebcc47db3 --- /dev/null +++ b/comfy_api/input_impl/__init__.py @@ -0,0 +1,7 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._input_impl import VideoFromFile, VideoFromComponents + +__all__ = [ + "VideoFromFile", + "VideoFromComponents", +] diff --git a/comfy_api/input_impl/video_types.py b/comfy_api/input_impl/video_types.py new file mode 100644 index 0000000000000000000000000000000000000000..bd2e56ad51a2fa2340e63409b9038de463af3b2d --- /dev/null +++ b/comfy_api/input_impl/video_types.py @@ -0,0 +1,2 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._input_impl.video_types import * # noqa: F403 diff --git a/comfy_api/internal/__init__.py b/comfy_api/internal/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4ca02e320bcb06ad7f6a8a7c8bd63f6efc18ea98 --- /dev/null +++ b/comfy_api/internal/__init__.py @@ -0,0 +1,150 @@ +# Internal infrastructure for ComfyAPI +from .api_registry import ( + ComfyAPIBase as ComfyAPIBase, + ComfyAPIWithVersion as ComfyAPIWithVersion, + register_versions as register_versions, + get_all_versions as get_all_versions, +) + +import asyncio +from dataclasses import asdict +from typing import Callable, Optional + + +def first_real_override(cls: type, name: str, *, base: type=None) -> Optional[Callable]: + """Return the *callable* override of `name` visible on `cls`, or None if every + implementation up to (and including) `base` is the placeholder defined on `base`. + + If base is not provided, it will assume cls has a GET_BASE_CLASS + """ + if base is None: + if not hasattr(cls, "GET_BASE_CLASS"): + raise ValueError("base is required if cls does not have a GET_BASE_CLASS; is this a valid ComfyNode subclass?") + base = cls.GET_BASE_CLASS() + base_attr = getattr(base, name, None) + if base_attr is None: + return None + base_func = base_attr.__func__ + for c in cls.mro(): # NodeB, NodeA, ComfyNode, object … + if c is base: # reached the placeholder – we're done + break + if name in c.__dict__: # first class that *defines* the attr + func = getattr(c, name).__func__ + if func is not base_func: # real override + return getattr(cls, name) # bound to *cls* + return None + + +class _ComfyNodeInternal: + """Class that all V3-based APIs inherit from for ComfyNode. + + This is intended to only be referenced within execution.py, as it has to handle all V3 APIs going forward.""" + @classmethod + def GET_NODE_INFO_V1(cls): + ... + + +class _NodeOutputInternal: + """Class that all V3-based APIs inherit from for NodeOutput. + + This is intended to only be referenced within execution.py, as it has to handle all V3 APIs going forward.""" + ... + + +def as_pruned_dict(dataclass_obj): + '''Return dict of dataclass object with pruned None values.''' + return prune_dict(asdict(dataclass_obj)) + +def prune_dict(d: dict): + return {k: v for k,v in d.items() if v is not None} + + +def is_class(obj): + ''' + Returns True if is a class type. + Returns False if is a class instance. + ''' + return isinstance(obj, type) + + +def copy_class(cls: type) -> type: + ''' + Copy a class and its attributes. + ''' + if cls is None: + return None + cls_dict = { + k: v for k, v in cls.__dict__.items() + if k not in ('__dict__', '__weakref__', '__module__', '__doc__') + } + # new class + new_cls = type( + cls.__name__, + (cls,), + cls_dict + ) + # metadata preservation + new_cls.__module__ = cls.__module__ + new_cls.__doc__ = cls.__doc__ + return new_cls + + +class classproperty(object): + def __init__(self, f): + self.f = f + def __get__(self, obj, owner): + return self.f(owner) + + +# NOTE: this was ai generated and validated by hand +def shallow_clone_class(cls, new_name=None): + ''' + Shallow clone a class while preserving super() functionality. + ''' + new_name = new_name or f"{cls.__name__}Clone" + # Include the original class in the bases to maintain proper inheritance + new_bases = (cls,) + cls.__bases__ + return type(new_name, new_bases, dict(cls.__dict__)) + +# NOTE: this was ai generated and validated by hand +def lock_class(cls): + ''' + Lock a class so that its top-levelattributes cannot be modified. + ''' + # Locked instance __setattr__ + def locked_instance_setattr(self, name, value): + raise AttributeError( + f"Cannot set attribute '{name}' on immutable instance of {type(self).__name__}" + ) + # Locked metaclass + class LockedMeta(type(cls)): + def __setattr__(cls_, name, value): + raise AttributeError( + f"Cannot modify class attribute '{name}' on locked class '{cls_.__name__}'" + ) + # Rebuild class with locked behavior + locked_dict = dict(cls.__dict__) + locked_dict['__setattr__'] = locked_instance_setattr + + return LockedMeta(cls.__name__, cls.__bases__, locked_dict) + + +def make_locked_method_func(type_obj, func, class_clone): + """ + Returns a function that, when called with **inputs, will execute: + getattr(type_obj, func).__func__(lock_class(class_clone), **inputs) + + Supports both synchronous and asynchronous methods. + """ + locked_class = lock_class(class_clone) + method = getattr(type_obj, func).__func__ + + # Check if the original method is async + if asyncio.iscoroutinefunction(method): + async def wrapped_async_func(**inputs): + return await method(locked_class, **inputs) + return wrapped_async_func + else: + def wrapped_func(**inputs): + return method(locked_class, **inputs) + return wrapped_func diff --git a/comfy_api/internal/api_registry.py b/comfy_api/internal/api_registry.py new file mode 100644 index 0000000000000000000000000000000000000000..7e3375cf60f8c27aed2774fcd58da4597516f1b7 --- /dev/null +++ b/comfy_api/internal/api_registry.py @@ -0,0 +1,39 @@ +from typing import Type, List, NamedTuple +from comfy_api.internal.singleton import ProxiedSingleton +from packaging import version as packaging_version + + +class ComfyAPIBase(ProxiedSingleton): + def __init__(self): + pass + + +class ComfyAPIWithVersion(NamedTuple): + version: str + api_class: Type[ComfyAPIBase] + + +def parse_version(version_str: str) -> packaging_version.Version: + """ + Parses a version string into a packaging_version.Version object. + Raises ValueError if the version string is invalid. + """ + if version_str == "latest": + return packaging_version.parse("9999999.9999999.9999999") + return packaging_version.parse(version_str) + + +registered_versions: List[ComfyAPIWithVersion] = [] + + +def register_versions(versions: List[ComfyAPIWithVersion]): + versions.sort(key=lambda x: parse_version(x.version)) + global registered_versions + registered_versions = versions + + +def get_all_versions() -> List[ComfyAPIWithVersion]: + """ + Returns a list of all registered ComfyAPI versions. + """ + return registered_versions diff --git a/comfy_api/internal/async_to_sync.py b/comfy_api/internal/async_to_sync.py new file mode 100644 index 0000000000000000000000000000000000000000..f5f805a6215697a499f2bf48656e8cc10b4a2560 --- /dev/null +++ b/comfy_api/internal/async_to_sync.py @@ -0,0 +1,987 @@ +import asyncio +import concurrent.futures +import contextvars +import functools +import inspect +import logging +import os +import textwrap +import threading +from enum import Enum +from typing import Optional, Type, get_origin, get_args + + +class TypeTracker: + """Tracks types discovered during stub generation for automatic import generation.""" + + def __init__(self): + self.discovered_types = {} # type_name -> (module, qualname) + self.builtin_types = { + "Any", + "Dict", + "List", + "Optional", + "Tuple", + "Union", + "Set", + "Sequence", + "cast", + "NamedTuple", + "str", + "int", + "float", + "bool", + "None", + "bytes", + "object", + "type", + "dict", + "list", + "tuple", + "set", + } + self.already_imported = ( + set() + ) # Track types already imported to avoid duplicates + + def track_type(self, annotation): + """Track a type annotation and record its module/import info.""" + if annotation is None or annotation is type(None): + return + + # Skip builtins and typing module types we already import + type_name = getattr(annotation, "__name__", None) + if type_name and ( + type_name in self.builtin_types or type_name in self.already_imported + ): + return + + # Get module and qualname + module = getattr(annotation, "__module__", None) + qualname = getattr(annotation, "__qualname__", type_name or "") + + # Skip types from typing module (they're already imported) + if module == "typing": + return + + # Skip UnionType and GenericAlias from types module as they're handled specially + if module == "types" and type_name in ("UnionType", "GenericAlias"): + return + + if module and module not in ["builtins", "__main__"]: + # Store the type info + if type_name: + self.discovered_types[type_name] = (module, qualname) + + def get_imports(self, main_module_name: str) -> list[str]: + """Generate import statements for all discovered types.""" + imports = [] + imports_by_module = {} + + for type_name, (module, qualname) in sorted(self.discovered_types.items()): + # Skip types from the main module (they're already imported) + if main_module_name and module == main_module_name: + continue + + if module not in imports_by_module: + imports_by_module[module] = [] + if type_name not in imports_by_module[module]: # Avoid duplicates + imports_by_module[module].append(type_name) + + # Generate import statements + for module, types in sorted(imports_by_module.items()): + if len(types) == 1: + imports.append(f"from {module} import {types[0]}") + else: + imports.append(f"from {module} import {', '.join(sorted(set(types)))}") + + return imports + + +class AsyncToSyncConverter: + """ + Provides utilities to convert async classes to sync classes with proper type hints. + """ + + _thread_pool: Optional[concurrent.futures.ThreadPoolExecutor] = None + _thread_pool_lock = threading.Lock() + _thread_pool_initialized = False + + @classmethod + def get_thread_pool(cls, max_workers=None) -> concurrent.futures.ThreadPoolExecutor: + """Get or create the shared thread pool with proper thread-safe initialization.""" + # Fast path - check if already initialized without acquiring lock + if cls._thread_pool_initialized: + assert cls._thread_pool is not None, "Thread pool should be initialized" + return cls._thread_pool + + # Slow path - acquire lock and create pool if needed + with cls._thread_pool_lock: + if not cls._thread_pool_initialized: + cls._thread_pool = concurrent.futures.ThreadPoolExecutor( + max_workers=max_workers, thread_name_prefix="async_to_sync_" + ) + cls._thread_pool_initialized = True + + # This should never be None at this point, but add assertion for type checker + assert cls._thread_pool is not None + return cls._thread_pool + + @classmethod + def run_async_in_thread(cls, coro_func, *args, **kwargs): + """ + Run an async function in a separate thread from the thread pool. + Blocks until the async function completes. + Properly propagates contextvars between threads and manages event loops. + """ + # Capture current context - this includes all context variables + context = contextvars.copy_context() + + # Store the result and any exception that occurs + result_container: dict = {"result": None, "exception": None} + + # Function that runs in the thread pool + def run_in_thread(): + # Create new event loop for this thread + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + try: + # Create the coroutine within the context + async def run_with_context(): + # The coroutine function might access context variables + return await coro_func(*args, **kwargs) + + # Run the coroutine with the captured context + # This ensures all context variables are available in the async function + result = context.run(loop.run_until_complete, run_with_context()) + result_container["result"] = result + except Exception as e: + # Store the exception to re-raise in the calling thread + result_container["exception"] = e + finally: + # Ensure event loop is properly closed to prevent warnings + try: + # Cancel any remaining tasks + pending = asyncio.all_tasks(loop) + for task in pending: + task.cancel() + + # Run the loop briefly to handle cancellations + if pending: + loop.run_until_complete( + asyncio.gather(*pending, return_exceptions=True) + ) + except Exception: + pass # Ignore errors during cleanup + + # Close the event loop + loop.close() + + # Clear the event loop from the thread + asyncio.set_event_loop(None) + + # Submit to thread pool and wait for result + thread_pool = cls.get_thread_pool() + future = thread_pool.submit(run_in_thread) + future.result() # Wait for completion + + # Re-raise any exception that occurred in the thread + if result_container["exception"] is not None: + raise result_container["exception"] + + return result_container["result"] + + @classmethod + def create_sync_class(cls, async_class: Type, thread_pool_size=10) -> Type: + """ + Creates a new class with synchronous versions of all async methods. + + Args: + async_class: The async class to convert + thread_pool_size: Size of thread pool to use + + Returns: + A new class with sync versions of all async methods + """ + sync_class_name = "ComfyAPISyncStub" + cls.get_thread_pool(thread_pool_size) + + # Create a proper class with docstrings and proper base classes + sync_class_dict = { + "__doc__": async_class.__doc__, + "__module__": async_class.__module__, + "__qualname__": sync_class_name, + "__orig_class__": async_class, # Store original class for typing references + } + + # Create __init__ method + def __init__(self, *args, **kwargs): + self._async_instance = async_class(*args, **kwargs) + + # Handle annotated class attributes (like execution: Execution) + # Get all annotations from the class hierarchy + all_annotations = {} + for base_class in reversed(inspect.getmro(async_class)): + if hasattr(base_class, "__annotations__"): + all_annotations.update(base_class.__annotations__) + + # For each annotated attribute, check if it needs to be created or wrapped + for attr_name, attr_type in all_annotations.items(): + if hasattr(self._async_instance, attr_name): + # Attribute exists on the instance + attr = getattr(self._async_instance, attr_name) + # Check if this attribute needs a sync wrapper + if hasattr(attr, "__class__"): + from comfy_api.internal.singleton import ProxiedSingleton + + if isinstance(attr, ProxiedSingleton): + # Create a sync version of this attribute + try: + sync_attr_class = cls.create_sync_class(attr.__class__) + # Create instance of the sync wrapper with the async instance + sync_attr = object.__new__(sync_attr_class) # type: ignore + sync_attr._async_instance = attr + setattr(self, attr_name, sync_attr) + except Exception: + # If we can't create a sync version, keep the original + setattr(self, attr_name, attr) + else: + # Not async, just copy the reference + setattr(self, attr_name, attr) + else: + # Attribute doesn't exist, but is annotated - create it + # This handles cases like execution: Execution + if isinstance(attr_type, type): + # Check if the type is defined as an inner class + if hasattr(async_class, attr_type.__name__): + inner_class = getattr(async_class, attr_type.__name__) + from comfy_api.internal.singleton import ProxiedSingleton + + # Create an instance of the inner class + try: + # For ProxiedSingleton classes, get or create the singleton instance + if issubclass(inner_class, ProxiedSingleton): + async_instance = inner_class.get_instance() + else: + async_instance = inner_class() + + # Create sync wrapper + sync_attr_class = cls.create_sync_class(inner_class) + sync_attr = object.__new__(sync_attr_class) # type: ignore + sync_attr._async_instance = async_instance + setattr(self, attr_name, sync_attr) + # Also set on the async instance for consistency + setattr(self._async_instance, attr_name, async_instance) + except Exception as e: + logging.warning( + f"Failed to create instance for {attr_name}: {e}" + ) + + # Handle other instance attributes that might not be annotated + for name, attr in inspect.getmembers(self._async_instance): + if name.startswith("_") or hasattr(self, name): + continue + + # If attribute is an instance of a class, and that class is defined in the original class + # we need to check if it needs a sync wrapper + if isinstance(attr, object) and not isinstance( + attr, (str, int, float, bool, list, dict, tuple) + ): + from comfy_api.internal.singleton import ProxiedSingleton + + if isinstance(attr, ProxiedSingleton): + # Create a sync version of this nested class + try: + sync_attr_class = cls.create_sync_class(attr.__class__) + # Create instance of the sync wrapper with the async instance + sync_attr = object.__new__(sync_attr_class) # type: ignore + sync_attr._async_instance = attr + setattr(self, name, sync_attr) + except Exception: + # If we can't create a sync version, keep the original + setattr(self, name, attr) + + sync_class_dict["__init__"] = __init__ + + # Process methods from the async class + for name, method in inspect.getmembers( + async_class, predicate=inspect.isfunction + ): + if name.startswith("_"): + continue + + # Extract the actual return type from a coroutine + if inspect.iscoroutinefunction(method): + # Create sync version of async method with proper signature + @functools.wraps(method) + def sync_method(self, *args, _method_name=name, **kwargs): + async_method = getattr(self._async_instance, _method_name) + return AsyncToSyncConverter.run_async_in_thread( + async_method, *args, **kwargs + ) + + # Add to the class dict + sync_class_dict[name] = sync_method + else: + # For regular methods, create a proxy method + @functools.wraps(method) + def proxy_method(self, *args, _method_name=name, **kwargs): + method = getattr(self._async_instance, _method_name) + return method(*args, **kwargs) + + # Add to the class dict + sync_class_dict[name] = proxy_method + + # Handle property access + for name, prop in inspect.getmembers( + async_class, lambda x: isinstance(x, property) + ): + + def make_property(name, prop_obj): + def getter(self): + value = getattr(self._async_instance, name) + if inspect.iscoroutinefunction(value): + + def sync_fn(*args, **kwargs): + return AsyncToSyncConverter.run_async_in_thread( + value, *args, **kwargs + ) + + return sync_fn + return value + + def setter(self, value): + setattr(self._async_instance, name, value) + + return property(getter, setter if prop_obj.fset else None) + + sync_class_dict[name] = make_property(name, prop) + + # Create the class + sync_class = type(sync_class_name, (object,), sync_class_dict) + + return sync_class + + @classmethod + def _format_type_annotation( + cls, annotation, type_tracker: Optional[TypeTracker] = None + ) -> str: + """Convert a type annotation to its string representation for stub files.""" + if ( + annotation is inspect.Parameter.empty + or annotation is inspect.Signature.empty + ): + return "Any" + + # Handle None type + if annotation is type(None): + return "None" + + # Track the type if we have a tracker + if type_tracker: + type_tracker.track_type(annotation) + + # Try using typing.get_origin/get_args for Python 3.8+ + try: + origin = get_origin(annotation) + args = get_args(annotation) + + if origin is not None: + # Track the origin type + if type_tracker: + type_tracker.track_type(origin) + + # Get the origin name + origin_name = getattr(origin, "__name__", str(origin)) + if "." in origin_name: + origin_name = origin_name.split(".")[-1] + + # Special handling for types.UnionType (Python 3.10+ pipe operator) + # Convert to old-style Union for compatibility + if str(origin) == "" or origin_name == "UnionType": + origin_name = "Union" + + # Format arguments recursively + if args: + formatted_args = [] + for arg in args: + # Track each type in the union + if type_tracker: + type_tracker.track_type(arg) + formatted_args.append(cls._format_type_annotation(arg, type_tracker)) + return f"{origin_name}[{', '.join(formatted_args)}]" + else: + return origin_name + except (AttributeError, TypeError): + # Fallback for older Python versions or non-generic types + pass + + # Handle generic types the old way for compatibility + if hasattr(annotation, "__origin__") and hasattr(annotation, "__args__"): + origin = annotation.__origin__ + origin_name = ( + origin.__name__ + if hasattr(origin, "__name__") + else str(origin).split("'")[1] + ) + + # Format each type argument + args = [] + for arg in annotation.__args__: + args.append(cls._format_type_annotation(arg, type_tracker)) + + return f"{origin_name}[{', '.join(args)}]" + + # Handle regular types with __name__ + if hasattr(annotation, "__name__"): + return annotation.__name__ + + # Handle special module types (like types from typing module) + if hasattr(annotation, "__module__") and hasattr(annotation, "__qualname__"): + # For types like typing.Literal, typing.TypedDict, etc. + return annotation.__qualname__ + + # Last resort: string conversion with cleanup + type_str = str(annotation) + + # Clean up common patterns more robustly + if type_str.startswith(""): + type_str = type_str[8:-2] # Remove "" + + # Remove module prefixes for common modules + for prefix in ["typing.", "builtins.", "types."]: + if type_str.startswith(prefix): + type_str = type_str[len(prefix) :] + + # Handle special cases + if type_str in ("_empty", "inspect._empty"): + return "None" + + # Fix NoneType (this should rarely be needed now) + if type_str == "NoneType": + return "None" + + return type_str + + @classmethod + def _extract_coroutine_return_type(cls, annotation): + """Extract the actual return type from a Coroutine annotation.""" + if hasattr(annotation, "__args__") and len(annotation.__args__) > 2: + # Coroutine[Any, Any, ReturnType] -> extract ReturnType + return annotation.__args__[2] + return annotation + + @classmethod + def _format_parameter_default(cls, default_value) -> str: + """Format a parameter's default value for stub files.""" + if default_value is inspect.Parameter.empty: + return "" + elif default_value is None: + return " = None" + elif isinstance(default_value, bool): + return f" = {default_value}" + elif default_value == {}: + return " = {}" + elif default_value == []: + return " = []" + else: + return f" = {default_value}" + + @classmethod + def _format_method_parameters( + cls, + sig: inspect.Signature, + skip_self: bool = True, + type_hints: Optional[dict] = None, + type_tracker: Optional[TypeTracker] = None, + ) -> str: + """Format method parameters for stub files.""" + params = [] + if type_hints is None: + type_hints = {} + + for i, (param_name, param) in enumerate(sig.parameters.items()): + if i == 0 and param_name == "self" and skip_self: + params.append("self") + else: + # Get type annotation from type hints if available, otherwise from signature + annotation = type_hints.get(param_name, param.annotation) + type_str = cls._format_type_annotation(annotation, type_tracker) + + # Get default value + default_str = cls._format_parameter_default(param.default) + + # Combine parameter parts + if annotation is inspect.Parameter.empty: + params.append(f"{param_name}: Any{default_str}") + else: + params.append(f"{param_name}: {type_str}{default_str}") + + return ", ".join(params) + + @classmethod + def _generate_method_signature( + cls, + method_name: str, + method, + is_async: bool = False, + type_tracker: Optional[TypeTracker] = None, + ) -> str: + """Generate a complete method signature for stub files.""" + sig = inspect.signature(method) + + # Try to get evaluated type hints to resolve string annotations + try: + from typing import get_type_hints + type_hints = get_type_hints(method) + except Exception: + # Fallback to empty dict if we can't get type hints + type_hints = {} + + # For async methods, extract the actual return type + return_annotation = type_hints.get('return', sig.return_annotation) + if is_async and inspect.iscoroutinefunction(method): + return_annotation = cls._extract_coroutine_return_type(return_annotation) + + # Format parameters with type hints + params_str = cls._format_method_parameters(sig, type_hints=type_hints, type_tracker=type_tracker) + + # Format return type + return_type = cls._format_type_annotation(return_annotation, type_tracker) + if return_annotation is inspect.Signature.empty: + return_type = "None" + + return f"def {method_name}({params_str}) -> {return_type}: ..." + + @classmethod + def _generate_imports( + cls, async_class: Type, type_tracker: TypeTracker + ) -> list[str]: + """Generate import statements for the stub file.""" + imports = [] + + # Add standard typing imports + imports.append( + "from typing import Any, Dict, List, Optional, Tuple, Union, Set, Sequence, cast, NamedTuple" + ) + + # Add imports from the original module + if async_class.__module__ != "builtins": + module = inspect.getmodule(async_class) + additional_types = [] + + if module: + # Check if module has __all__ defined + module_all = getattr(module, "__all__", None) + + for name, obj in sorted(inspect.getmembers(module)): + if isinstance(obj, type): + # Skip if __all__ is defined and this name isn't in it + # unless it's already been tracked as used in type annotations + if module_all is not None and name not in module_all: + # Check if this type was actually used in annotations + if name not in type_tracker.discovered_types: + continue + + # Check for NamedTuple + if issubclass(obj, tuple) and hasattr(obj, "_fields"): + additional_types.append(name) + # Mark as already imported + type_tracker.already_imported.add(name) + # Check for Enum + elif issubclass(obj, Enum) and name != "Enum": + additional_types.append(name) + # Mark as already imported + type_tracker.already_imported.add(name) + + if additional_types: + type_imports = ", ".join([async_class.__name__] + additional_types) + imports.append(f"from {async_class.__module__} import {type_imports}") + else: + imports.append( + f"from {async_class.__module__} import {async_class.__name__}" + ) + + # Add imports for all discovered types + # Pass the main module name to avoid duplicate imports + imports.extend( + type_tracker.get_imports(main_module_name=async_class.__module__) + ) + + # Add base module import if needed + if hasattr(inspect.getmodule(async_class), "__name__"): + module_name = inspect.getmodule(async_class).__name__ + if "." in module_name: + base_module = module_name.split(".")[0] + # Only add if not already importing from it + if not any(imp.startswith(f"from {base_module}") for imp in imports): + imports.append(f"import {base_module}") + + return imports + + @classmethod + def _get_class_attributes(cls, async_class: Type) -> list[tuple[str, Type]]: + """Extract class attributes that are classes themselves.""" + class_attributes = [] + + # Look for class attributes that are classes + for name, attr in sorted(inspect.getmembers(async_class)): + if isinstance(attr, type) and not name.startswith("_"): + class_attributes.append((name, attr)) + elif ( + hasattr(async_class, "__annotations__") + and name in async_class.__annotations__ + ): + annotation = async_class.__annotations__[name] + if isinstance(annotation, type): + class_attributes.append((name, annotation)) + + return class_attributes + + @classmethod + def _generate_inner_class_stub( + cls, + name: str, + attr: Type, + indent: str = " ", + type_tracker: Optional[TypeTracker] = None, + ) -> list[str]: + """Generate stub for an inner class.""" + stub_lines = [] + stub_lines.append(f"{indent}class {name}Sync:") + + # Add docstring if available + if hasattr(attr, "__doc__") and attr.__doc__: + stub_lines.extend( + cls._format_docstring_for_stub(attr.__doc__, f"{indent} ") + ) + + # Add __init__ if it exists + if hasattr(attr, "__init__"): + try: + init_method = getattr(attr, "__init__") + init_sig = inspect.signature(init_method) + + # Try to get type hints + try: + from typing import get_type_hints + init_hints = get_type_hints(init_method) + except Exception: + init_hints = {} + + # Format parameters + params_str = cls._format_method_parameters( + init_sig, type_hints=init_hints, type_tracker=type_tracker + ) + # Add __init__ docstring if available (before the method) + if hasattr(init_method, "__doc__") and init_method.__doc__: + stub_lines.extend( + cls._format_docstring_for_stub( + init_method.__doc__, f"{indent} " + ) + ) + stub_lines.append( + f"{indent} def __init__({params_str}) -> None: ..." + ) + except (ValueError, TypeError): + stub_lines.append( + f"{indent} def __init__(self, *args, **kwargs) -> None: ..." + ) + + # Add methods to the inner class + has_methods = False + for method_name, method in sorted( + inspect.getmembers(attr, predicate=inspect.isfunction) + ): + if method_name.startswith("_"): + continue + + has_methods = True + try: + # Add method docstring if available (before the method signature) + if method.__doc__: + stub_lines.extend( + cls._format_docstring_for_stub(method.__doc__, f"{indent} ") + ) + + method_sig = cls._generate_method_signature( + method_name, method, is_async=True, type_tracker=type_tracker + ) + stub_lines.append(f"{indent} {method_sig}") + except (ValueError, TypeError): + stub_lines.append( + f"{indent} def {method_name}(self, *args, **kwargs): ..." + ) + + if not has_methods: + stub_lines.append(f"{indent} pass") + + return stub_lines + + @classmethod + def _format_docstring_for_stub( + cls, docstring: str, indent: str = " " + ) -> list[str]: + """Format a docstring for inclusion in a stub file with proper indentation.""" + if not docstring: + return [] + + # First, dedent the docstring to remove any existing indentation + dedented = textwrap.dedent(docstring).strip() + + # Split into lines + lines = dedented.split("\n") + + # Build the properly indented docstring + result = [] + result.append(f'{indent}"""') + + for line in lines: + if line.strip(): # Non-empty line + result.append(f"{indent}{line}") + else: # Empty line + result.append("") + + result.append(f'{indent}"""') + return result + + @classmethod + def _post_process_stub_content(cls, stub_content: list[str]) -> list[str]: + """Post-process stub content to fix any remaining issues.""" + processed = [] + + for line in stub_content: + # Skip processing imports + if line.startswith(("from ", "import ")): + processed.append(line) + continue + + # Fix method signatures missing return types + if ( + line.strip().startswith("def ") + and line.strip().endswith(": ...") + and ") -> " not in line + ): + # Add -> None for methods without return annotation + line = line.replace(": ...", " -> None: ...") + + processed.append(line) + + return processed + + @classmethod + def generate_stub_file(cls, async_class: Type, sync_class: Type) -> None: + """ + Generate a .pyi stub file for the sync class to help IDEs with type checking. + """ + try: + # Only generate stub if we can determine module path + if async_class.__module__ == "__main__": + return + + module = inspect.getmodule(async_class) + if not module: + return + + module_path = module.__file__ + if not module_path: + return + + # Create stub file path in a 'generated' subdirectory + module_dir = os.path.dirname(module_path) + stub_dir = os.path.join(module_dir, "generated") + + # Ensure the generated directory exists + os.makedirs(stub_dir, exist_ok=True) + + module_name = os.path.basename(module_path) + if module_name.endswith(".py"): + module_name = module_name[:-3] + + sync_stub_path = os.path.join(stub_dir, f"{sync_class.__name__}.pyi") + + # Create a type tracker for this stub generation + type_tracker = TypeTracker() + + stub_content = [] + + # We'll generate imports after processing all methods to capture all types + # Leave a placeholder for imports + imports_placeholder_index = len(stub_content) + stub_content.append("") # Will be replaced with imports later + + # Class definition + stub_content.append(f"class {sync_class.__name__}:") + + # Docstring + if async_class.__doc__: + stub_content.extend( + cls._format_docstring_for_stub(async_class.__doc__, " ") + ) + + # Generate __init__ + try: + init_method = async_class.__init__ + init_signature = inspect.signature(init_method) + + # Try to get type hints for __init__ + try: + from typing import get_type_hints + init_hints = get_type_hints(init_method) + except Exception: + init_hints = {} + + # Format parameters + params_str = cls._format_method_parameters( + init_signature, type_hints=init_hints, type_tracker=type_tracker + ) + # Add __init__ docstring if available (before the method) + if hasattr(init_method, "__doc__") and init_method.__doc__: + stub_content.extend( + cls._format_docstring_for_stub(init_method.__doc__, " ") + ) + stub_content.append(f" def __init__({params_str}) -> None: ...") + except (ValueError, TypeError): + stub_content.append( + " def __init__(self, *args, **kwargs) -> None: ..." + ) + + stub_content.append("") # Add newline after __init__ + + # Get class attributes + class_attributes = cls._get_class_attributes(async_class) + + # Generate inner classes + for name, attr in class_attributes: + inner_class_stub = cls._generate_inner_class_stub( + name, attr, type_tracker=type_tracker + ) + stub_content.extend(inner_class_stub) + stub_content.append("") # Add newline after the inner class + + # Add methods to the main class + processed_methods = set() # Keep track of methods we've processed + for name, method in sorted( + inspect.getmembers(async_class, predicate=inspect.isfunction) + ): + if name.startswith("_") or name in processed_methods: + continue + + processed_methods.add(name) + + try: + method_sig = cls._generate_method_signature( + name, method, is_async=True, type_tracker=type_tracker + ) + + # Add docstring if available (before the method signature for proper formatting) + if method.__doc__: + stub_content.extend( + cls._format_docstring_for_stub(method.__doc__, " ") + ) + + stub_content.append(f" {method_sig}") + + stub_content.append("") # Add newline after each method + + except (ValueError, TypeError): + # If we can't get the signature, just add a simple stub + stub_content.append(f" def {name}(self, *args, **kwargs): ...") + stub_content.append("") # Add newline + + # Add properties + for name, prop in sorted( + inspect.getmembers(async_class, lambda x: isinstance(x, property)) + ): + stub_content.append(" @property") + stub_content.append(f" def {name}(self) -> Any: ...") + if prop.fset: + stub_content.append(f" @{name}.setter") + stub_content.append( + f" def {name}(self, value: Any) -> None: ..." + ) + stub_content.append("") # Add newline after each property + + # Add placeholders for the nested class instances + # Check the actual attribute names from class annotations and attributes + attribute_mappings = {} + + # First check annotations for typed attributes (including from parent classes) + # Collect all annotations from the class hierarchy + all_annotations = {} + for base_class in reversed(inspect.getmro(async_class)): + if hasattr(base_class, "__annotations__"): + all_annotations.update(base_class.__annotations__) + + for attr_name, attr_type in sorted(all_annotations.items()): + for class_name, class_type in class_attributes: + # If the class type matches the annotated type + if ( + attr_type == class_type + or (hasattr(attr_type, "__name__") and attr_type.__name__ == class_name) + or (isinstance(attr_type, str) and attr_type == class_name) + ): + attribute_mappings[class_name] = attr_name + + # Remove the extra checking - annotations should be sufficient + + # Add the attribute declarations with proper names + for class_name, class_type in class_attributes: + # Check if there's a mapping from annotation + attr_name = attribute_mappings.get(class_name, class_name) + # Use the annotation name if it exists, even if the attribute doesn't exist yet + # This is because the attribute might be created at runtime + stub_content.append(f" {attr_name}: {class_name}Sync") + + stub_content.append("") # Add a final newline + + # Now generate imports with all discovered types + imports = cls._generate_imports(async_class, type_tracker) + + # Deduplicate imports while preserving order + seen = set() + unique_imports = [] + for imp in imports: + if imp not in seen: + seen.add(imp) + unique_imports.append(imp) + else: + logging.warning(f"Duplicate import detected: {imp}") + + # Replace the placeholder with actual imports + stub_content[imports_placeholder_index : imports_placeholder_index + 1] = ( + unique_imports + ) + + # Post-process stub content + stub_content = cls._post_process_stub_content(stub_content) + + # Write stub file + with open(sync_stub_path, "w") as f: + f.write("\n".join(stub_content)) + + logging.info(f"Generated stub file: {sync_stub_path}") + + except Exception as e: + # If stub generation fails, log the error but don't break the main functionality + logging.error( + f"Error generating stub file for {sync_class.__name__}: {str(e)}" + ) + import traceback + + logging.error(traceback.format_exc()) + + +def create_sync_class(async_class: Type, thread_pool_size=10) -> Type: + """ + Creates a sync version of an async class + + Args: + async_class: The async class to convert + thread_pool_size: Size of thread pool to use + + Returns: + A new class with sync versions of all async methods + """ + return AsyncToSyncConverter.create_sync_class(async_class, thread_pool_size) diff --git a/comfy_api/internal/singleton.py b/comfy_api/internal/singleton.py new file mode 100644 index 0000000000000000000000000000000000000000..75f16f98ed7aab3378f55e749b69e806392d5bd7 --- /dev/null +++ b/comfy_api/internal/singleton.py @@ -0,0 +1,33 @@ +from typing import Type, TypeVar + +class SingletonMetaclass(type): + T = TypeVar("T", bound="SingletonMetaclass") + _instances = {} + + def __call__(cls, *args, **kwargs): + if cls not in cls._instances: + cls._instances[cls] = super(SingletonMetaclass, cls).__call__( + *args, **kwargs + ) + return cls._instances[cls] + + def inject_instance(cls: Type[T], instance: T) -> None: + assert cls not in SingletonMetaclass._instances, ( + "Cannot inject instance after first instantiation" + ) + SingletonMetaclass._instances[cls] = instance + + def get_instance(cls: Type[T], *args, **kwargs) -> T: + """ + Gets the singleton instance of the class, creating it if it doesn't exist. + """ + if cls not in SingletonMetaclass._instances: + SingletonMetaclass._instances[cls] = super( + SingletonMetaclass, cls + ).__call__(*args, **kwargs) + return cls._instances[cls] + + +class ProxiedSingleton(object, metaclass=SingletonMetaclass): + def __init__(self): + super().__init__() diff --git a/comfy_api/latest/__init__.py b/comfy_api/latest/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2cee65aa9fb2bb845a9caa2e4fe666924c082b7f --- /dev/null +++ b/comfy_api/latest/__init__.py @@ -0,0 +1,124 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod +from typing import Type, TYPE_CHECKING +from comfy_api.internal import ComfyAPIBase +from comfy_api.internal.singleton import ProxiedSingleton +from comfy_api.internal.async_to_sync import create_sync_class +from comfy_api.latest._input import ImageInput, AudioInput, MaskInput, LatentInput, VideoInput +from comfy_api.latest._input_impl import VideoFromFile, VideoFromComponents +from comfy_api.latest._util import VideoCodec, VideoContainer, VideoComponents +from comfy_api.latest._io import _IO as io #noqa: F401 +from comfy_api.latest._ui import _UI as ui #noqa: F401 +# from comfy_api.latest._resources import _RESOURCES as resources #noqa: F401 +from comfy_execution.utils import get_executing_context +from comfy_execution.progress import get_progress_state, PreviewImageTuple +from PIL import Image +from comfy.cli_args import args +import numpy as np + + +class ComfyAPI_latest(ComfyAPIBase): + VERSION = "latest" + STABLE = False + + class Execution(ProxiedSingleton): + async def set_progress( + self, + value: float, + max_value: float, + node_id: str | None = None, + preview_image: Image.Image | ImageInput | None = None, + ignore_size_limit: bool = False, + ) -> None: + """ + Update the progress bar displayed in the ComfyUI interface. + + This function allows custom nodes and API calls to report their progress + back to the user interface, providing visual feedback during long operations. + + Migration from previous API: comfy.utils.PROGRESS_BAR_HOOK + """ + executing_context = get_executing_context() + if node_id is None and executing_context is not None: + node_id = executing_context.node_id + if node_id is None: + raise ValueError("node_id must be provided if not in executing context") + + # Convert preview_image to PreviewImageTuple if needed + to_display: PreviewImageTuple | Image.Image | ImageInput | None = preview_image + if to_display is not None: + # First convert to PIL Image if needed + if isinstance(to_display, ImageInput): + # Convert ImageInput (torch.Tensor) to PIL Image + # Handle tensor shape [B, H, W, C] -> get first image if batch + tensor = to_display + if len(tensor.shape) == 4: + tensor = tensor[0] + + # Convert to numpy array and scale to 0-255 + image_np = (tensor.cpu().numpy() * 255).astype(np.uint8) + to_display = Image.fromarray(image_np) + + if isinstance(to_display, Image.Image): + # Detect image format from PIL Image + image_format = to_display.format if to_display.format else "JPEG" + # Use None for preview_size if ignore_size_limit is True + preview_size = None if ignore_size_limit else args.preview_size + to_display = (image_format, to_display, preview_size) + + get_progress_state().update_progress( + node_id=node_id, + value=value, + max_value=max_value, + image=to_display, + ) + + execution: Execution + +class ComfyExtension(ABC): + async def on_load(self) -> None: + """ + Called when an extension is loaded. + This should be used to initialize any global resources neeeded by the extension. + """ + + @abstractmethod + async def get_node_list(self) -> list[type[io.ComfyNode]]: + """ + Returns a list of nodes that this extension provides. + """ + +class Input: + Image = ImageInput + Audio = AudioInput + Mask = MaskInput + Latent = LatentInput + Video = VideoInput + +class InputImpl: + VideoFromFile = VideoFromFile + VideoFromComponents = VideoFromComponents + +class Types: + VideoCodec = VideoCodec + VideoContainer = VideoContainer + VideoComponents = VideoComponents + +ComfyAPI = ComfyAPI_latest + +# Create a synchronous version of the API +if TYPE_CHECKING: + import comfy_api.latest.generated.ComfyAPISyncStub # type: ignore + + ComfyAPISync: Type[comfy_api.latest.generated.ComfyAPISyncStub.ComfyAPISyncStub] +ComfyAPISync = create_sync_class(ComfyAPI_latest) + +__all__ = [ + "ComfyAPI", + "ComfyAPISync", + "Input", + "InputImpl", + "Types", + "ComfyExtension", +] diff --git a/comfy_api/latest/_input/__init__.py b/comfy_api/latest/_input/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..14f0e72f46bfb079e85a1c0e56993b5a99425ffe --- /dev/null +++ b/comfy_api/latest/_input/__init__.py @@ -0,0 +1,10 @@ +from .basic_types import ImageInput, AudioInput, MaskInput, LatentInput +from .video_types import VideoInput + +__all__ = [ + "ImageInput", + "AudioInput", + "VideoInput", + "MaskInput", + "LatentInput", +] diff --git a/comfy_api/latest/_input/basic_types.py b/comfy_api/latest/_input/basic_types.py new file mode 100644 index 0000000000000000000000000000000000000000..245c6cbb1e775cf3b0d5369ca2f954ab6ca504b3 --- /dev/null +++ b/comfy_api/latest/_input/basic_types.py @@ -0,0 +1,42 @@ +import torch +from typing import TypedDict, List, Optional + +ImageInput = torch.Tensor +""" +An image in format [B, H, W, C] where B is the batch size, C is the number of channels, +""" + +MaskInput = torch.Tensor +""" +A mask in format [B, H, W] where B is the batch size +""" + +class AudioInput(TypedDict): + """ + TypedDict representing audio input. + """ + + waveform: torch.Tensor + """ + Tensor in the format [B, C, T] where B is the batch size, C is the number of channels, + """ + + sample_rate: int + +class LatentInput(TypedDict): + """ + TypedDict representing latent input. + """ + + samples: torch.Tensor + """ + Tensor in the format [B, C, H, W] where B is the batch size, C is the number of channels, + H is the height, and W is the width. + """ + + noise_mask: Optional[MaskInput] + """ + Optional noise mask tensor in the same format as samples. + """ + + batch_index: Optional[List[int]] diff --git a/comfy_api/latest/_input/video_types.py b/comfy_api/latest/_input/video_types.py new file mode 100644 index 0000000000000000000000000000000000000000..5d95dc507f80bd83c424db88895ae26738f1c05c --- /dev/null +++ b/comfy_api/latest/_input/video_types.py @@ -0,0 +1,85 @@ +from __future__ import annotations +from abc import ABC, abstractmethod +from typing import Optional, Union +import io +import av +from comfy_api.util import VideoContainer, VideoCodec, VideoComponents + +class VideoInput(ABC): + """ + Abstract base class for video input types. + """ + + @abstractmethod + def get_components(self) -> VideoComponents: + """ + Abstract method to get the video components (images, audio, and frame rate). + + Returns: + VideoComponents containing images, audio, and frame rate + """ + pass + + @abstractmethod + def save_to( + self, + path: str, + format: VideoContainer = VideoContainer.AUTO, + codec: VideoCodec = VideoCodec.AUTO, + metadata: Optional[dict] = None + ): + """ + Abstract method to save the video input to a file. + """ + pass + + def get_stream_source(self) -> Union[str, io.BytesIO]: + """ + Get a streamable source for the video. This allows processing without + loading the entire video into memory. + + Returns: + Either a file path (str) or a BytesIO object that can be opened with av. + + Default implementation creates a BytesIO buffer, but subclasses should + override this for better performance when possible. + """ + buffer = io.BytesIO() + self.save_to(buffer) + buffer.seek(0) + return buffer + + # Provide a default implementation, but subclasses can provide optimized versions + # if possible. + def get_dimensions(self) -> tuple[int, int]: + """ + Returns the dimensions of the video input. + + Returns: + Tuple of (width, height) + """ + components = self.get_components() + return components.images.shape[2], components.images.shape[1] + + def get_duration(self) -> float: + """ + Returns the duration of the video in seconds. + + Returns: + Duration in seconds + """ + components = self.get_components() + frame_count = components.images.shape[0] + return float(frame_count / components.frame_rate) + + def get_container_format(self) -> str: + """ + Returns the container format of the video (e.g., 'mp4', 'mov', 'avi'). + + Returns: + Container format as string + """ + # Default implementation - subclasses should override for better performance + source = self.get_stream_source() + with av.open(source, mode="r") as container: + return container.format.name diff --git a/comfy_api/latest/_input_impl/__init__.py b/comfy_api/latest/_input_impl/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..02901b8b933caa569cd9dd45eb8e39e7c66e43a1 --- /dev/null +++ b/comfy_api/latest/_input_impl/__init__.py @@ -0,0 +1,7 @@ +from .video_types import VideoFromFile, VideoFromComponents + +__all__ = [ + # Implementations + "VideoFromFile", + "VideoFromComponents", +] diff --git a/comfy_api/latest/_input_impl/video_types.py b/comfy_api/latest/_input_impl/video_types.py new file mode 100644 index 0000000000000000000000000000000000000000..f646504c80b09cc39044b231afe1aedea8a88446 --- /dev/null +++ b/comfy_api/latest/_input_impl/video_types.py @@ -0,0 +1,308 @@ +from __future__ import annotations +from av.container import InputContainer +from av.subtitles.stream import SubtitleStream +from fractions import Fraction +from typing import Optional +from comfy_api.latest._input import AudioInput, VideoInput +import av +import io +import json +import numpy as np +import math +import torch +from comfy_api.latest._util import VideoContainer, VideoCodec, VideoComponents + + +def container_to_output_format(container_format: str | None) -> str | None: + """ + A container's `format` may be a comma-separated list of formats. + E.g., iso container's `format` may be `mov,mp4,m4a,3gp,3g2,mj2`. + However, writing to a file/stream with `av.open` requires a single format, + or `None` to auto-detect. + """ + if not container_format: + return None # Auto-detect + + if "," not in container_format: + return container_format + + formats = container_format.split(",") + return formats[0] + + +def get_open_write_kwargs( + dest: str | io.BytesIO, container_format: str, to_format: str | None +) -> dict: + """Get kwargs for writing a `VideoFromFile` to a file/stream with `av.open`""" + open_kwargs = { + "mode": "w", + # If isobmff, preserve custom metadata tags (workflow, prompt, extra_pnginfo) + "options": {"movflags": "use_metadata_tags"}, + } + + is_write_to_buffer = isinstance(dest, io.BytesIO) + if is_write_to_buffer: + # Set output format explicitly, since it cannot be inferred from file extension + if to_format == VideoContainer.AUTO: + to_format = container_format.lower() + elif isinstance(to_format, str): + to_format = to_format.lower() + open_kwargs["format"] = container_to_output_format(to_format) + + return open_kwargs + + +class VideoFromFile(VideoInput): + """ + Class representing video input from a file. + """ + + def __init__(self, file: str | io.BytesIO): + """ + Initialize the VideoFromFile object based off of either a path on disk or a BytesIO object + containing the file contents. + """ + self.__file = file + + def get_stream_source(self) -> str | io.BytesIO: + """ + Return the underlying file source for efficient streaming. + This avoids unnecessary memory copies when the source is already a file path. + """ + if isinstance(self.__file, io.BytesIO): + self.__file.seek(0) + return self.__file + + def get_dimensions(self) -> tuple[int, int]: + """ + Returns the dimensions of the video input. + + Returns: + Tuple of (width, height) + """ + if isinstance(self.__file, io.BytesIO): + self.__file.seek(0) # Reset the BytesIO object to the beginning + with av.open(self.__file, mode='r') as container: + for stream in container.streams: + if stream.type == 'video': + assert isinstance(stream, av.VideoStream) + return stream.width, stream.height + raise ValueError(f"No video stream found in file '{self.__file}'") + + def get_duration(self) -> float: + """ + Returns the duration of the video in seconds. + + Returns: + Duration in seconds + """ + if isinstance(self.__file, io.BytesIO): + self.__file.seek(0) + with av.open(self.__file, mode="r") as container: + if container.duration is not None: + return float(container.duration / av.time_base) + + # Fallback: calculate from frame count and frame rate + video_stream = next( + (s for s in container.streams if s.type == "video"), None + ) + if video_stream and video_stream.frames and video_stream.average_rate: + return float(video_stream.frames / video_stream.average_rate) + + # Last resort: decode frames to count them + if video_stream and video_stream.average_rate: + frame_count = 0 + container.seek(0) + for packet in container.demux(video_stream): + for _ in packet.decode(): + frame_count += 1 + if frame_count > 0: + return float(frame_count / video_stream.average_rate) + + raise ValueError(f"Could not determine duration for file '{self.__file}'") + + def get_container_format(self) -> str: + """ + Returns the container format of the video (e.g., 'mp4', 'mov', 'avi'). + + Returns: + Container format as string + """ + if isinstance(self.__file, io.BytesIO): + self.__file.seek(0) + with av.open(self.__file, mode='r') as container: + return container.format.name + + def get_components_internal(self, container: InputContainer) -> VideoComponents: + # Get video frames + frames = [] + for frame in container.decode(video=0): + img = frame.to_ndarray(format='rgb24') # shape: (H, W, 3) + img = torch.from_numpy(img) / 255.0 # shape: (H, W, 3) + frames.append(img) + + images = torch.stack(frames) if len(frames) > 0 else torch.zeros(0, 3, 0, 0) + + # Get frame rate + video_stream = next(s for s in container.streams if s.type == 'video') + frame_rate = Fraction(video_stream.average_rate) if video_stream and video_stream.average_rate else Fraction(1) + + # Get audio if available + audio = None + try: + container.seek(0) # Reset the container to the beginning + for stream in container.streams: + if stream.type != 'audio': + continue + assert isinstance(stream, av.AudioStream) + audio_frames = [] + for packet in container.demux(stream): + for frame in packet.decode(): + assert isinstance(frame, av.AudioFrame) + audio_frames.append(frame.to_ndarray()) # shape: (channels, samples) + if len(audio_frames) > 0: + audio_data = np.concatenate(audio_frames, axis=1) # shape: (channels, total_samples) + audio_tensor = torch.from_numpy(audio_data).unsqueeze(0) # shape: (1, channels, total_samples) + audio = AudioInput({ + "waveform": audio_tensor, + "sample_rate": int(stream.sample_rate) if stream.sample_rate else 1, + }) + except StopIteration: + pass # No audio stream + + metadata = container.metadata + return VideoComponents(images=images, audio=audio, frame_rate=frame_rate, metadata=metadata) + + def get_components(self) -> VideoComponents: + if isinstance(self.__file, io.BytesIO): + self.__file.seek(0) # Reset the BytesIO object to the beginning + with av.open(self.__file, mode='r') as container: + return self.get_components_internal(container) + raise ValueError(f"No video stream found in file '{self.__file}'") + + def save_to( + self, + path: str | io.BytesIO, + format: VideoContainer = VideoContainer.AUTO, + codec: VideoCodec = VideoCodec.AUTO, + metadata: Optional[dict] = None + ): + if isinstance(self.__file, io.BytesIO): + self.__file.seek(0) # Reset the BytesIO object to the beginning + with av.open(self.__file, mode='r') as container: + container_format = container.format.name + video_encoding = container.streams.video[0].codec.name if len(container.streams.video) > 0 else None + reuse_streams = True + if format != VideoContainer.AUTO and format not in container_format.split(","): + reuse_streams = False + if codec != VideoCodec.AUTO and codec != video_encoding and video_encoding is not None: + reuse_streams = False + + if not reuse_streams: + components = self.get_components_internal(container) + video = VideoFromComponents(components) + return video.save_to( + path, + format=format, + codec=codec, + metadata=metadata + ) + + streams = container.streams + + open_kwargs = get_open_write_kwargs(path, container_format, format) + with av.open(path, **open_kwargs) as output_container: + # Copy over the original metadata + for key, value in container.metadata.items(): + if metadata is None or key not in metadata: + output_container.metadata[key] = value + + # Add our new metadata + if metadata is not None: + for key, value in metadata.items(): + if isinstance(value, str): + output_container.metadata[key] = value + else: + output_container.metadata[key] = json.dumps(value) + + # Add streams to the new container + stream_map = {} + for stream in streams: + if isinstance(stream, (av.VideoStream, av.AudioStream, SubtitleStream)): + out_stream = output_container.add_stream_from_template(template=stream, opaque=True) + stream_map[stream] = out_stream + + # Write packets to the new container + for packet in container.demux(): + if packet.stream in stream_map and packet.dts is not None: + packet.stream = stream_map[packet.stream] + output_container.mux(packet) + +class VideoFromComponents(VideoInput): + """ + Class representing video input from tensors. + """ + + def __init__(self, components: VideoComponents): + self.__components = components + + def get_components(self) -> VideoComponents: + return VideoComponents( + images=self.__components.images, + audio=self.__components.audio, + frame_rate=self.__components.frame_rate + ) + + def save_to( + self, + path: str, + format: VideoContainer = VideoContainer.AUTO, + codec: VideoCodec = VideoCodec.AUTO, + metadata: Optional[dict] = None + ): + if format != VideoContainer.AUTO and format != VideoContainer.MP4: + raise ValueError("Only MP4 format is supported for now") + if codec != VideoCodec.AUTO and codec != VideoCodec.H264: + raise ValueError("Only H264 codec is supported for now") + with av.open(path, mode='w', options={'movflags': 'use_metadata_tags'}) as output: + # Add metadata before writing any streams + if metadata is not None: + for key, value in metadata.items(): + output.metadata[key] = json.dumps(value) + + frame_rate = Fraction(round(self.__components.frame_rate * 1000), 1000) + # Create a video stream + video_stream = output.add_stream('h264', rate=frame_rate) + video_stream.width = self.__components.images.shape[2] + video_stream.height = self.__components.images.shape[1] + video_stream.pix_fmt = 'yuv420p' + + # Create an audio stream + audio_sample_rate = 1 + audio_stream: Optional[av.AudioStream] = None + if self.__components.audio: + audio_sample_rate = int(self.__components.audio['sample_rate']) + audio_stream = output.add_stream('aac', rate=audio_sample_rate) + + # Encode video + for i, frame in enumerate(self.__components.images): + img = (frame * 255).clamp(0, 255).byte().cpu().numpy() # shape: (H, W, 3) + frame = av.VideoFrame.from_ndarray(img, format='rgb24') + frame = frame.reformat(format='yuv420p') # Convert to YUV420P as required by h264 + packet = video_stream.encode(frame) + output.mux(packet) + + # Flush video + packet = video_stream.encode(None) + output.mux(packet) + + if audio_stream and self.__components.audio: + waveform = self.__components.audio['waveform'] + waveform = waveform[:, :, :math.ceil((audio_sample_rate / frame_rate) * self.__components.images.shape[0])] + frame = av.AudioFrame.from_ndarray(waveform.movedim(2, 1).reshape(1, -1).float().numpy(), format='flt', layout='mono' if waveform.shape[1] == 1 else 'stereo') + frame.sample_rate = audio_sample_rate + frame.pts = 0 + output.mux(audio_stream.encode(frame)) + + # Flush encoder + output.mux(audio_stream.encode(None)) diff --git a/comfy_api/latest/_io.py b/comfy_api/latest/_io.py new file mode 100644 index 0000000000000000000000000000000000000000..4826818df86016d29795c56bcf07d1b473c6641b --- /dev/null +++ b/comfy_api/latest/_io.py @@ -0,0 +1,1644 @@ +from __future__ import annotations + +import copy +import inspect +from abc import ABC, abstractmethod +from collections import Counter +from dataclasses import asdict, dataclass +from enum import Enum +from typing import Any, Callable, Literal, TypedDict, TypeVar, TYPE_CHECKING +from typing_extensions import NotRequired, final + +# used for type hinting +import torch + +if TYPE_CHECKING: + from spandrel import ImageModelDescriptor + from comfy.clip_vision import ClipVisionModel + from comfy.clip_vision import Output as ClipVisionOutput_ + from comfy.controlnet import ControlNet + from comfy.hooks import HookGroup, HookKeyframeGroup + from comfy.model_patcher import ModelPatcher + from comfy.samplers import CFGGuider, Sampler + from comfy.sd import CLIP, VAE + from comfy.sd import StyleModel as StyleModel_ + from comfy_api.input import VideoInput +from comfy_api.internal import (_ComfyNodeInternal, _NodeOutputInternal, classproperty, copy_class, first_real_override, is_class, + prune_dict, shallow_clone_class) +from comfy_api.latest._resources import Resources, ResourcesLocal +from comfy_execution.graph_utils import ExecutionBlocker + +# from comfy_extras.nodes_images import SVG as SVG_ # NOTE: needs to be moved before can be imported due to circular reference + +class FolderType(str, Enum): + input = "input" + output = "output" + temp = "temp" + + +class UploadType(str, Enum): + image = "image_upload" + audio = "audio_upload" + video = "video_upload" + model = "file_upload" + + +class RemoteOptions: + def __init__(self, route: str, refresh_button: bool, control_after_refresh: Literal["first", "last"]="first", + timeout: int=None, max_retries: int=None, refresh: int=None): + self.route = route + """The route to the remote source.""" + self.refresh_button = refresh_button + """Specifies whether to show a refresh button in the UI below the widget.""" + self.control_after_refresh = control_after_refresh + """Specifies the control after the refresh button is clicked. If "first", the first item will be automatically selected, and so on.""" + self.timeout = timeout + """The maximum amount of time to wait for a response from the remote source in milliseconds.""" + self.max_retries = max_retries + """The maximum number of retries before aborting the request.""" + self.refresh = refresh + """The TTL of the remote input's value in milliseconds. Specifies the interval at which the remote input's value is refreshed.""" + + def as_dict(self): + return prune_dict({ + "route": self.route, + "refresh_button": self.refresh_button, + "control_after_refresh": self.control_after_refresh, + "timeout": self.timeout, + "max_retries": self.max_retries, + "refresh": self.refresh, + }) + + +class NumberDisplay(str, Enum): + number = "number" + slider = "slider" + + +class _StringIOType(str): + def __ne__(self, value: object) -> bool: + if self == "*" or value == "*": + return False + if not isinstance(value, str): + return True + a = frozenset(self.split(",")) + b = frozenset(value.split(",")) + return not (b.issubset(a) or a.issubset(b)) + +class _ComfyType(ABC): + Type = Any + io_type: str = None + +# NOTE: this is a workaround to make the decorator return the correct type +T = TypeVar("T", bound=type) +def comfytype(io_type: str, **kwargs): + ''' + Decorator to mark nested classes as ComfyType; io_type will be bound to the class. + + A ComfyType may have the following attributes: + - Type = + - class Input(Input): ... + - class Output(Output): ... + ''' + def decorator(cls: T) -> T: + if isinstance(cls, _ComfyType) or issubclass(cls, _ComfyType): + # clone Input and Output classes to avoid modifying the original class + new_cls = cls + if hasattr(new_cls, "Input"): + new_cls.Input = copy_class(new_cls.Input) + if hasattr(new_cls, "Output"): + new_cls.Output = copy_class(new_cls.Output) + else: + # copy class attributes except for special ones that shouldn't be in type() + cls_dict = { + k: v for k, v in cls.__dict__.items() + if k not in ('__dict__', '__weakref__', '__module__', '__doc__') + } + # new class + new_cls: ComfyTypeIO = type( + cls.__name__, + (cls, ComfyTypeIO), + cls_dict + ) + # metadata preservation + new_cls.__module__ = cls.__module__ + new_cls.__doc__ = cls.__doc__ + # assign ComfyType attributes, if needed + # NOTE: use __ne__ trick for io_type (see node_typing.IO.__ne__ for details) + new_cls.io_type = _StringIOType(io_type) + if hasattr(new_cls, "Input") and new_cls.Input is not None: + new_cls.Input.Parent = new_cls + if hasattr(new_cls, "Output") and new_cls.Output is not None: + new_cls.Output.Parent = new_cls + return new_cls + return decorator + +def Custom(io_type: str) -> type[ComfyTypeIO]: + '''Create a ComfyType for a custom io_type.''' + @comfytype(io_type=io_type) + class CustomComfyType(ComfyTypeIO): + ... + return CustomComfyType + +class _IO_V3: + ''' + Base class for V3 Inputs and Outputs. + ''' + Parent: _ComfyType = None + + def __init__(self): + pass + + @property + def io_type(self): + return self.Parent.io_type + + @property + def Type(self): + return self.Parent.Type + +class Input(_IO_V3): + ''' + Base class for a V3 Input. + ''' + def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None): + super().__init__() + self.id = id + self.display_name = display_name + self.optional = optional + self.tooltip = tooltip + self.lazy = lazy + self.extra_dict = extra_dict if extra_dict is not None else {} + + def as_dict(self): + return prune_dict({ + "display_name": self.display_name, + "optional": self.optional, + "tooltip": self.tooltip, + "lazy": self.lazy, + }) | prune_dict(self.extra_dict) + + def get_io_type(self): + return _StringIOType(self.io_type) + +class WidgetInput(Input): + ''' + Base class for a V3 Input with widget. + ''' + def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + default: Any=None, + socketless: bool=None, widget_type: str=None, force_input: bool=None, extra_dict=None): + super().__init__(id, display_name, optional, tooltip, lazy, extra_dict) + self.default = default + self.socketless = socketless + self.widget_type = widget_type + self.force_input = force_input + + def as_dict(self): + return super().as_dict() | prune_dict({ + "default": self.default, + "socketless": self.socketless, + "widgetType": self.widget_type, + "forceInput": self.force_input, + }) + + def get_io_type(self): + return self.widget_type if self.widget_type is not None else super().get_io_type() + + +class Output(_IO_V3): + def __init__(self, id: str=None, display_name: str=None, tooltip: str=None, + is_output_list=False): + self.id = id + self.display_name = display_name + self.tooltip = tooltip + self.is_output_list = is_output_list + + def as_dict(self): + return prune_dict({ + "display_name": self.display_name, + "tooltip": self.tooltip, + "is_output_list": self.is_output_list, + }) + + def get_io_type(self): + return self.io_type + + +class ComfyTypeI(_ComfyType): + '''ComfyType subclass that only has a default Input class - intended for types that only have Inputs.''' + class Input(Input): + ... + +class ComfyTypeIO(ComfyTypeI): + '''ComfyType subclass that has default Input and Output classes; useful for types with both Inputs and Outputs.''' + class Output(Output): + ... + + +@comfytype(io_type="BOOLEAN") +class Boolean(ComfyTypeIO): + Type = bool + + class Input(WidgetInput): + '''Boolean input.''' + def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + default: bool=None, label_on: str=None, label_off: str=None, + socketless: bool=None, force_input: bool=None): + super().__init__(id, display_name, optional, tooltip, lazy, default, socketless, None, force_input) + self.label_on = label_on + self.label_off = label_off + self.default: bool + + def as_dict(self): + return super().as_dict() | prune_dict({ + "label_on": self.label_on, + "label_off": self.label_off, + }) + +@comfytype(io_type="INT") +class Int(ComfyTypeIO): + Type = int + + class Input(WidgetInput): + '''Integer input.''' + def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + default: int=None, min: int=None, max: int=None, step: int=None, control_after_generate: bool=None, + display_mode: NumberDisplay=None, socketless: bool=None, force_input: bool=None): + super().__init__(id, display_name, optional, tooltip, lazy, default, socketless, None, force_input) + self.min = min + self.max = max + self.step = step + self.control_after_generate = control_after_generate + self.display_mode = display_mode + self.default: int + + def as_dict(self): + return super().as_dict() | prune_dict({ + "min": self.min, + "max": self.max, + "step": self.step, + "control_after_generate": self.control_after_generate, + "display": self.display_mode.value if self.display_mode else None, + }) + +@comfytype(io_type="FLOAT") +class Float(ComfyTypeIO): + Type = float + + class Input(WidgetInput): + '''Float input.''' + def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + default: float=None, min: float=None, max: float=None, step: float=None, round: float=None, + display_mode: NumberDisplay=None, socketless: bool=None, force_input: bool=None): + super().__init__(id, display_name, optional, tooltip, lazy, default, socketless, None, force_input) + self.min = min + self.max = max + self.step = step + self.round = round + self.display_mode = display_mode + self.default: float + + def as_dict(self): + return super().as_dict() | prune_dict({ + "min": self.min, + "max": self.max, + "step": self.step, + "round": self.round, + "display": self.display_mode, + }) + +@comfytype(io_type="STRING") +class String(ComfyTypeIO): + Type = str + + class Input(WidgetInput): + '''String input.''' + def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + multiline=False, placeholder: str=None, default: str=None, dynamic_prompts: bool=None, + socketless: bool=None, force_input: bool=None): + super().__init__(id, display_name, optional, tooltip, lazy, default, socketless, None, force_input) + self.multiline = multiline + self.placeholder = placeholder + self.dynamic_prompts = dynamic_prompts + self.default: str + + def as_dict(self): + return super().as_dict() | prune_dict({ + "multiline": self.multiline, + "placeholder": self.placeholder, + "dynamicPrompts": self.dynamic_prompts, + }) + +@comfytype(io_type="COMBO") +class Combo(ComfyTypeIO): + Type = str + class Input(WidgetInput): + """Combo input (dropdown).""" + Type = str + def __init__(self, id: str, options: list[str]=None, display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + default: str=None, control_after_generate: bool=None, + upload: UploadType=None, image_folder: FolderType=None, + remote: RemoteOptions=None, + socketless: bool=None): + super().__init__(id, display_name, optional, tooltip, lazy, default, socketless) + self.multiselect = False + self.options = options + self.control_after_generate = control_after_generate + self.upload = upload + self.image_folder = image_folder + self.remote = remote + self.default: str + + def as_dict(self): + return super().as_dict() | prune_dict({ + "multiselect": self.multiselect, + "options": self.options, + "control_after_generate": self.control_after_generate, + **({self.upload.value: True} if self.upload is not None else {}), + "image_folder": self.image_folder.value if self.image_folder else None, + "remote": self.remote.as_dict() if self.remote else None, + }) + + class Output(Output): + def __init__(self, id: str=None, display_name: str=None, options: list[str]=None, tooltip: str=None, is_output_list=False): + super().__init__(id, display_name, tooltip, is_output_list) + self.options = options if options is not None else [] + + @property + def io_type(self): + return self.options + +@comfytype(io_type="COMBO") +class MultiCombo(ComfyTypeI): + '''Multiselect Combo input (dropdown for selecting potentially more than one value).''' + # TODO: something is wrong with the serialization, frontend does not recognize it as multiselect + Type = list[str] + class Input(Combo.Input): + def __init__(self, id: str, options: list[str], display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, + default: list[str]=None, placeholder: str=None, chip: bool=None, control_after_generate: bool=None, + socketless: bool=None): + super().__init__(id, options, display_name, optional, tooltip, lazy, default, control_after_generate, socketless=socketless) + self.multiselect = True + self.placeholder = placeholder + self.chip = chip + self.default: list[str] + + def as_dict(self): + to_return = super().as_dict() | prune_dict({ + "multi_select": self.multiselect, + "placeholder": self.placeholder, + "chip": self.chip, + }) + return to_return + +@comfytype(io_type="IMAGE") +class Image(ComfyTypeIO): + Type = torch.Tensor + + +@comfytype(io_type="WAN_CAMERA_EMBEDDING") +class WanCameraEmbedding(ComfyTypeIO): + Type = torch.Tensor + + +@comfytype(io_type="WEBCAM") +class Webcam(ComfyTypeIO): + Type = str + + class Input(WidgetInput): + """Webcam input.""" + Type = str + def __init__( + self, id: str, display_name: str=None, optional=False, + tooltip: str=None, lazy: bool=None, default: str=None, socketless: bool=None + ): + super().__init__(id, display_name, optional, tooltip, lazy, default, socketless) + + +@comfytype(io_type="MASK") +class Mask(ComfyTypeIO): + Type = torch.Tensor + +@comfytype(io_type="LATENT") +class Latent(ComfyTypeIO): + '''Latents are stored as a dictionary.''' + class LatentDict(TypedDict): + samples: torch.Tensor + '''Latent tensors.''' + noise_mask: NotRequired[torch.Tensor] + batch_index: NotRequired[list[int]] + type: NotRequired[str] + '''Only needed if dealing with these types: audio, hunyuan3dv2''' + Type = LatentDict + +@comfytype(io_type="CONDITIONING") +class Conditioning(ComfyTypeIO): + class PooledDict(TypedDict): + pooled_output: torch.Tensor + '''Pooled output from CLIP.''' + control: NotRequired[ControlNet] + '''ControlNet to apply to conditioning.''' + control_apply_to_uncond: NotRequired[bool] + '''Whether to apply ControlNet to matching negative conditioning at sample time, if applicable.''' + cross_attn_controlnet: NotRequired[torch.Tensor] + '''CrossAttn from CLIP to use for controlnet only.''' + pooled_output_controlnet: NotRequired[torch.Tensor] + '''Pooled output from CLIP to use for controlnet only.''' + gligen: NotRequired[tuple[str, Gligen, list[tuple[torch.Tensor, int, ...]]]] + '''GLIGEN to apply to conditioning.''' + area: NotRequired[tuple[int, ...] | tuple[str, float, ...]] + '''Set area of conditioning. First half of values apply to dimensions, the second half apply to coordinates. + By default, the dimensions are based on total pixel amount, but the first value can be set to "percentage" to use a percentage of the image size instead. + + (1024, 1024, 0, 0) would apply conditioning to the top-left 1024x1024 pixels. + + ("percentage", 0.5, 0.5, 0, 0) would apply conditioning to the top-left 50% of the image.''' # TODO: verify its actually top-left + strength: NotRequired[float] + '''Strength of conditioning. Default strength is 1.0.''' + mask: NotRequired[torch.Tensor] + '''Mask to apply conditioning to.''' + mask_strength: NotRequired[float] + '''Strength of conditioning mask. Default strength is 1.0.''' + set_area_to_bounds: NotRequired[bool] + '''Whether conditioning mask should determine bounds of area - if set to false, latents are sampled at full resolution and result is applied in mask.''' + concat_latent_image: NotRequired[torch.Tensor] + '''Used for inpainting and specific models.''' + concat_mask: NotRequired[torch.Tensor] + '''Used for inpainting and specific models.''' + concat_image: NotRequired[torch.Tensor] + '''Used by SD_4XUpscale_Conditioning.''' + noise_augmentation: NotRequired[float] + '''Used by SD_4XUpscale_Conditioning.''' + hooks: NotRequired[HookGroup] + '''Applies hooks to conditioning.''' + default: NotRequired[bool] + '''Whether to this conditioning is 'default'; default conditioning gets applied to any areas of the image that have no masks/areas applied, assuming at least one area/mask is present during sampling.''' + start_percent: NotRequired[float] + '''Determines relative step to begin applying conditioning, expressed as a float between 0.0 and 1.0.''' + end_percent: NotRequired[float] + '''Determines relative step to end applying conditioning, expressed as a float between 0.0 and 1.0.''' + clip_start_percent: NotRequired[float] + '''Internal variable for conditioning scheduling - start of application, expressed as a float between 0.0 and 1.0.''' + clip_end_percent: NotRequired[float] + '''Internal variable for conditioning scheduling - end of application, expressed as a float between 0.0 and 1.0.''' + attention_mask: NotRequired[torch.Tensor] + '''Masks text conditioning; used by StyleModel among others.''' + attention_mask_img_shape: NotRequired[tuple[int, ...]] + '''Masks text conditioning; used by StyleModel among others.''' + unclip_conditioning: NotRequired[list[dict]] + '''Used by unCLIP.''' + conditioning_lyrics: NotRequired[torch.Tensor] + '''Used by AceT5Model.''' + seconds_start: NotRequired[float] + '''Used by StableAudio.''' + seconds_total: NotRequired[float] + '''Used by StableAudio.''' + lyrics_strength: NotRequired[float] + '''Used by AceStepAudio.''' + width: NotRequired[int] + '''Used by certain models (e.g. CLIPTextEncodeSDXL/Refiner, PixArtAlpha).''' + height: NotRequired[int] + '''Used by certain models (e.g. CLIPTextEncodeSDXL/Refiner, PixArtAlpha).''' + aesthetic_score: NotRequired[float] + '''Used by CLIPTextEncodeSDXL/Refiner.''' + crop_w: NotRequired[int] + '''Used by CLIPTextEncodeSDXL.''' + crop_h: NotRequired[int] + '''Used by CLIPTextEncodeSDXL.''' + target_width: NotRequired[int] + '''Used by CLIPTextEncodeSDXL.''' + target_height: NotRequired[int] + '''Used by CLIPTextEncodeSDXL.''' + reference_latents: NotRequired[list[torch.Tensor]] + '''Used by ReferenceLatent.''' + guidance: NotRequired[float] + '''Used by Flux-like models with guidance embed.''' + guiding_frame_index: NotRequired[int] + '''Used by Hunyuan ImageToVideo.''' + ref_latent: NotRequired[torch.Tensor] + '''Used by Hunyuan ImageToVideo.''' + keyframe_idxs: NotRequired[list[int]] + '''Used by LTXV.''' + frame_rate: NotRequired[float] + '''Used by LTXV.''' + stable_cascade_prior: NotRequired[torch.Tensor] + '''Used by StableCascade.''' + elevation: NotRequired[list[float]] + '''Used by SV3D.''' + azimuth: NotRequired[list[float]] + '''Used by SV3D.''' + motion_bucket_id: NotRequired[int] + '''Used by SVD-like models.''' + fps: NotRequired[int] + '''Used by SVD-like models.''' + augmentation_level: NotRequired[float] + '''Used by SVD-like models.''' + clip_vision_output: NotRequired[ClipVisionOutput_] + '''Used by WAN-like models.''' + vace_frames: NotRequired[torch.Tensor] + '''Used by WAN VACE.''' + vace_mask: NotRequired[torch.Tensor] + '''Used by WAN VACE.''' + vace_strength: NotRequired[float] + '''Used by WAN VACE.''' + camera_conditions: NotRequired[Any] # TODO: assign proper type once defined + '''Used by WAN Camera.''' + time_dim_concat: NotRequired[torch.Tensor] + '''Used by WAN Phantom Subject.''' + + CondList = list[tuple[torch.Tensor, PooledDict]] + Type = CondList + +@comfytype(io_type="SAMPLER") +class Sampler(ComfyTypeIO): + if TYPE_CHECKING: + Type = Sampler + +@comfytype(io_type="SIGMAS") +class Sigmas(ComfyTypeIO): + Type = torch.Tensor + +@comfytype(io_type="NOISE") +class Noise(ComfyTypeIO): + Type = torch.Tensor + +@comfytype(io_type="GUIDER") +class Guider(ComfyTypeIO): + if TYPE_CHECKING: + Type = CFGGuider + +@comfytype(io_type="CLIP") +class Clip(ComfyTypeIO): + if TYPE_CHECKING: + Type = CLIP + +@comfytype(io_type="CONTROL_NET") +class ControlNet(ComfyTypeIO): + if TYPE_CHECKING: + Type = ControlNet + +@comfytype(io_type="VAE") +class Vae(ComfyTypeIO): + if TYPE_CHECKING: + Type = VAE + +@comfytype(io_type="MODEL") +class Model(ComfyTypeIO): + if TYPE_CHECKING: + Type = ModelPatcher + +@comfytype(io_type="CLIP_VISION") +class ClipVision(ComfyTypeIO): + if TYPE_CHECKING: + Type = ClipVisionModel + +@comfytype(io_type="CLIP_VISION_OUTPUT") +class ClipVisionOutput(ComfyTypeIO): + if TYPE_CHECKING: + Type = ClipVisionOutput_ + +@comfytype(io_type="STYLE_MODEL") +class StyleModel(ComfyTypeIO): + if TYPE_CHECKING: + Type = StyleModel_ + +@comfytype(io_type="GLIGEN") +class Gligen(ComfyTypeIO): + '''ModelPatcher that wraps around a 'Gligen' model.''' + if TYPE_CHECKING: + Type = ModelPatcher + +@comfytype(io_type="UPSCALE_MODEL") +class UpscaleModel(ComfyTypeIO): + if TYPE_CHECKING: + Type = ImageModelDescriptor + +@comfytype(io_type="AUDIO") +class Audio(ComfyTypeIO): + class AudioDict(TypedDict): + waveform: torch.Tensor + sampler_rate: int + Type = AudioDict + +@comfytype(io_type="VIDEO") +class Video(ComfyTypeIO): + if TYPE_CHECKING: + Type = VideoInput + +@comfytype(io_type="SVG") +class SVG(ComfyTypeIO): + Type = Any # TODO: SVG class is defined in comfy_extras/nodes_images.py, causing circular reference; should be moved to somewhere else before referenced directly in v3 + +@comfytype(io_type="LORA_MODEL") +class LoraModel(ComfyTypeIO): + Type = dict[str, torch.Tensor] + +@comfytype(io_type="LOSS_MAP") +class LossMap(ComfyTypeIO): + class LossMapDict(TypedDict): + loss: list[torch.Tensor] + Type = LossMapDict + +@comfytype(io_type="VOXEL") +class Voxel(ComfyTypeIO): + Type = Any # TODO: VOXEL class is defined in comfy_extras/nodes_hunyuan3d.py; should be moved to somewhere else before referenced directly in v3 + +@comfytype(io_type="MESH") +class Mesh(ComfyTypeIO): + Type = Any # TODO: MESH class is defined in comfy_extras/nodes_hunyuan3d.py; should be moved to somewhere else before referenced directly in v3 + +@comfytype(io_type="HOOKS") +class Hooks(ComfyTypeIO): + if TYPE_CHECKING: + Type = HookGroup + +@comfytype(io_type="HOOK_KEYFRAMES") +class HookKeyframes(ComfyTypeIO): + if TYPE_CHECKING: + Type = HookKeyframeGroup + +@comfytype(io_type="TIMESTEPS_RANGE") +class TimestepsRange(ComfyTypeIO): + '''Range defined by start and endpoint, between 0.0 and 1.0.''' + Type = tuple[int, int] + +@comfytype(io_type="LATENT_OPERATION") +class LatentOperation(ComfyTypeIO): + Type = Callable[[torch.Tensor], torch.Tensor] + +@comfytype(io_type="FLOW_CONTROL") +class FlowControl(ComfyTypeIO): + # NOTE: only used in testing_nodes right now + Type = tuple[str, Any] + +@comfytype(io_type="ACCUMULATION") +class Accumulation(ComfyTypeIO): + # NOTE: only used in testing_nodes right now + class AccumulationDict(TypedDict): + accum: list[Any] + Type = AccumulationDict + + +@comfytype(io_type="LOAD3D_CAMERA") +class Load3DCamera(ComfyTypeIO): + class CameraInfo(TypedDict): + position: dict[str, float | int] + target: dict[str, float | int] + zoom: int + cameraType: str + + Type = CameraInfo + + +@comfytype(io_type="LOAD_3D") +class Load3D(ComfyTypeIO): + """3D models are stored as a dictionary.""" + class Model3DDict(TypedDict): + image: str + mask: str + normal: str + camera_info: Load3DCamera.CameraInfo + recording: NotRequired[str] + + Type = Model3DDict + + +@comfytype(io_type="LOAD_3D_ANIMATION") +class Load3DAnimation(Load3D): + ... + + +@comfytype(io_type="PHOTOMAKER") +class Photomaker(ComfyTypeIO): + Type = Any + + +@comfytype(io_type="POINT") +class Point(ComfyTypeIO): + Type = Any # NOTE: I couldn't find any references in core code to POINT io_type. Does this exist? + +@comfytype(io_type="FACE_ANALYSIS") +class FaceAnalysis(ComfyTypeIO): + Type = Any # NOTE: I couldn't find any references in core code to POINT io_type. Does this exist? + +@comfytype(io_type="BBOX") +class BBOX(ComfyTypeIO): + Type = Any # NOTE: I couldn't find any references in core code to POINT io_type. Does this exist? + +@comfytype(io_type="SEGS") +class SEGS(ComfyTypeIO): + Type = Any # NOTE: I couldn't find any references in core code to POINT io_type. Does this exist? + +@comfytype(io_type="*") +class AnyType(ComfyTypeIO): + Type = Any + +@comfytype(io_type="MODEL_PATCH") +class MODEL_PATCH(ComfyTypeIO): + Type = Any + +@comfytype(io_type="AUDIO_ENCODER") +class AudioEncoder(ComfyTypeIO): + Type = Any + +@comfytype(io_type="AUDIO_ENCODER_OUTPUT") +class AudioEncoderOutput(ComfyTypeIO): + Type = Any + +@comfytype(io_type="COMFY_MULTITYPED_V3") +class MultiType: + Type = Any + class Input(Input): + ''' + Input that permits more than one input type; if `id` is an instance of `ComfyType.Input`, then that input will be used to create a widget (if applicable) with overridden values. + ''' + def __init__(self, id: str | Input, types: list[type[_ComfyType] | _ComfyType], display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None): + # if id is an Input, then use that Input with overridden values + self.input_override = None + if isinstance(id, Input): + self.input_override = copy.copy(id) + optional = id.optional if id.optional is True else optional + tooltip = id.tooltip if id.tooltip is not None else tooltip + display_name = id.display_name if id.display_name is not None else display_name + lazy = id.lazy if id.lazy is not None else lazy + id = id.id + # if is a widget input, make sure widget_type is set appropriately + if isinstance(self.input_override, WidgetInput): + self.input_override.widget_type = self.input_override.get_io_type() + super().__init__(id, display_name, optional, tooltip, lazy, extra_dict) + self._io_types = types + + @property + def io_types(self) -> list[type[Input]]: + ''' + Returns list of Input class types permitted. + ''' + io_types = [] + for x in self._io_types: + if not is_class(x): + io_types.append(type(x)) + else: + io_types.append(x) + return io_types + + def get_io_type(self): + # ensure types are unique and order is preserved + str_types = [x.io_type for x in self.io_types] + if self.input_override is not None: + str_types.insert(0, self.input_override.get_io_type()) + return ",".join(list(dict.fromkeys(str_types))) + + def as_dict(self): + if self.input_override is not None: + return self.input_override.as_dict() | super().as_dict() + else: + return super().as_dict() + +class DynamicInput(Input, ABC): + ''' + Abstract class for dynamic input registration. + ''' + @abstractmethod + def get_dynamic(self) -> list[Input]: + ... + +class DynamicOutput(Output, ABC): + ''' + Abstract class for dynamic output registration. + ''' + def __init__(self, id: str=None, display_name: str=None, tooltip: str=None, + is_output_list=False): + super().__init__(id, display_name, tooltip, is_output_list) + + @abstractmethod + def get_dynamic(self) -> list[Output]: + ... + + +@comfytype(io_type="COMFY_AUTOGROW_V3") +class AutogrowDynamic(ComfyTypeI): + Type = list[Any] + class Input(DynamicInput): + def __init__(self, id: str, template_input: Input, min: int=1, max: int=None, + display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None): + super().__init__(id, display_name, optional, tooltip, lazy, extra_dict) + self.template_input = template_input + if min is not None: + assert(min >= 1) + if max is not None: + assert(max >= 1) + self.min = min + self.max = max + + def get_dynamic(self) -> list[Input]: + curr_count = 1 + new_inputs = [] + for i in range(self.min): + new_input = copy.copy(self.template_input) + new_input.id = f"{new_input.id}{curr_count}_${self.id}_ag$" + if new_input.display_name is not None: + new_input.display_name = f"{new_input.display_name}{curr_count}" + new_input.optional = self.optional or new_input.optional + if isinstance(self.template_input, WidgetInput): + new_input.force_input = True + new_inputs.append(new_input) + curr_count += 1 + # pretend to expand up to max + for i in range(curr_count-1, self.max): + new_input = copy.copy(self.template_input) + new_input.id = f"{new_input.id}{curr_count}_${self.id}_ag$" + if new_input.display_name is not None: + new_input.display_name = f"{new_input.display_name}{curr_count}" + new_input.optional = True + if isinstance(self.template_input, WidgetInput): + new_input.force_input = True + new_inputs.append(new_input) + curr_count += 1 + return new_inputs + +@comfytype(io_type="COMFY_COMBODYNAMIC_V3") +class ComboDynamic(ComfyTypeI): + class Input(DynamicInput): + def __init__(self, id: str): + pass + +@comfytype(io_type="COMFY_MATCHTYPE_V3") +class MatchType(ComfyTypeIO): + class Template: + def __init__(self, template_id: str, allowed_types: _ComfyType | list[_ComfyType]): + self.template_id = template_id + self.allowed_types = [allowed_types] if isinstance(allowed_types, _ComfyType) else allowed_types + + def as_dict(self): + return { + "template_id": self.template_id, + "allowed_types": "".join(t.io_type for t in self.allowed_types), + } + + class Input(DynamicInput): + def __init__(self, id: str, template: MatchType.Template, + display_name: str=None, optional=False, tooltip: str=None, lazy: bool=None, extra_dict=None): + super().__init__(id, display_name, optional, tooltip, lazy, extra_dict) + self.template = template + + def get_dynamic(self) -> list[Input]: + return [self] + + def as_dict(self): + return super().as_dict() | prune_dict({ + "template": self.template.as_dict(), + }) + + class Output(DynamicOutput): + def __init__(self, id: str, template: MatchType.Template, display_name: str=None, tooltip: str=None, + is_output_list=False): + super().__init__(id, display_name, tooltip, is_output_list) + self.template = template + + def get_dynamic(self) -> list[Output]: + return [self] + + def as_dict(self): + return super().as_dict() | prune_dict({ + "template": self.template.as_dict(), + }) + + +class HiddenHolder: + def __init__(self, unique_id: str, prompt: Any, + extra_pnginfo: Any, dynprompt: Any, + auth_token_comfy_org: str, api_key_comfy_org: str, **kwargs): + self.unique_id = unique_id + """UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages).""" + self.prompt = prompt + """PROMPT is the complete prompt sent by the client to the server. See the prompt object for a full description.""" + self.extra_pnginfo = extra_pnginfo + """EXTRA_PNGINFO is a dictionary that will be copied into the metadata of any .png files saved. Custom nodes can store additional information in this dictionary for saving (or as a way to communicate with a downstream node).""" + self.dynprompt = dynprompt + """DYNPROMPT is an instance of comfy_execution.graph.DynamicPrompt. It differs from PROMPT in that it may mutate during the course of execution in response to Node Expansion.""" + self.auth_token_comfy_org = auth_token_comfy_org + """AUTH_TOKEN_COMFY_ORG is a token acquired from signing into a ComfyOrg account on frontend.""" + self.api_key_comfy_org = api_key_comfy_org + """API_KEY_COMFY_ORG is an API Key generated by ComfyOrg that allows skipping signing into a ComfyOrg account on frontend.""" + + def __getattr__(self, key: str): + '''If hidden variable not found, return None.''' + return None + + @classmethod + def from_dict(cls, d: dict | None): + if d is None: + d = {} + return cls( + unique_id=d.get(Hidden.unique_id, None), + prompt=d.get(Hidden.prompt, None), + extra_pnginfo=d.get(Hidden.extra_pnginfo, None), + dynprompt=d.get(Hidden.dynprompt, None), + auth_token_comfy_org=d.get(Hidden.auth_token_comfy_org, None), + api_key_comfy_org=d.get(Hidden.api_key_comfy_org, None), + ) + +class Hidden(str, Enum): + ''' + Enumerator for requesting hidden variables in nodes. + ''' + unique_id = "UNIQUE_ID" + """UNIQUE_ID is the unique identifier of the node, and matches the id property of the node on the client side. It is commonly used in client-server communications (see messages).""" + prompt = "PROMPT" + """PROMPT is the complete prompt sent by the client to the server. See the prompt object for a full description.""" + extra_pnginfo = "EXTRA_PNGINFO" + """EXTRA_PNGINFO is a dictionary that will be copied into the metadata of any .png files saved. Custom nodes can store additional information in this dictionary for saving (or as a way to communicate with a downstream node).""" + dynprompt = "DYNPROMPT" + """DYNPROMPT is an instance of comfy_execution.graph.DynamicPrompt. It differs from PROMPT in that it may mutate during the course of execution in response to Node Expansion.""" + auth_token_comfy_org = "AUTH_TOKEN_COMFY_ORG" + """AUTH_TOKEN_COMFY_ORG is a token acquired from signing into a ComfyOrg account on frontend.""" + api_key_comfy_org = "API_KEY_COMFY_ORG" + """API_KEY_COMFY_ORG is an API Key generated by ComfyOrg that allows skipping signing into a ComfyOrg account on frontend.""" + + +@dataclass +class NodeInfoV1: + input: dict=None + input_order: dict[str, list[str]]=None + output: list[str]=None + output_is_list: list[bool]=None + output_name: list[str]=None + output_tooltips: list[str]=None + name: str=None + display_name: str=None + description: str=None + python_module: Any=None + category: str=None + output_node: bool=None + deprecated: bool=None + experimental: bool=None + api_node: bool=None + +@dataclass +class NodeInfoV3: + input: dict=None + output: dict=None + hidden: list[str]=None + name: str=None + display_name: str=None + description: str=None + category: str=None + output_node: bool=None + deprecated: bool=None + experimental: bool=None + api_node: bool=None + + +@dataclass +class Schema: + """Definition of V3 node properties.""" + + node_id: str + """ID of node - should be globally unique. If this is a custom node, add a prefix or postfix to avoid name clashes.""" + display_name: str = None + """Display name of node.""" + category: str = "sd" + """The category of the node, as per the "Add Node" menu.""" + inputs: list[Input]=None + outputs: list[Output]=None + hidden: list[Hidden]=None + description: str="" + """Node description, shown as a tooltip when hovering over the node.""" + is_input_list: bool = False + """A flag indicating if this node implements the additional code necessary to deal with OUTPUT_IS_LIST nodes. + + All inputs of ``type`` will become ``list[type]``, regardless of how many items are passed in. This also affects ``check_lazy_status``. + + From the docs: + + A node can also override the default input behaviour and receive the whole list in a single call. This is done by setting a class attribute `INPUT_IS_LIST` to ``True``. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lists#list-processing + """ + is_output_node: bool=False + """Flags this node as an output node, causing any inputs it requires to be executed. + + If a node is not connected to any output nodes, that node will not be executed. Usage:: + + From the docs: + + By default, a node is not considered an output. Set ``OUTPUT_NODE = True`` to specify that it is. + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/server_overview#output-node + """ + is_deprecated: bool=False + """Flags a node as deprecated, indicating to users that they should find alternatives to this node.""" + is_experimental: bool=False + """Flags a node as experimental, informing users that it may change or not work as expected.""" + is_api_node: bool=False + """Flags a node as an API node. See: https://docs.comfy.org/tutorials/api-nodes/overview.""" + not_idempotent: bool=False + """Flags a node as not idempotent; when True, the node will run and not reuse the cached outputs when identical inputs are provided on a different node in the graph.""" + enable_expand: bool=False + """Flags a node as expandable, allowing NodeOutput to include 'expand' property.""" + + def validate(self): + '''Validate the schema: + - verify ids on inputs and outputs are unique - both internally and in relation to each other + ''' + input_ids = [i.id for i in self.inputs] if self.inputs is not None else [] + output_ids = [o.id for o in self.outputs] if self.outputs is not None else [] + input_set = set(input_ids) + output_set = set(output_ids) + issues = [] + # verify ids are unique per list + if len(input_set) != len(input_ids): + issues.append(f"Input ids must be unique, but {[item for item, count in Counter(input_ids).items() if count > 1]} are not.") + if len(output_set) != len(output_ids): + issues.append(f"Output ids must be unique, but {[item for item, count in Counter(output_ids).items() if count > 1]} are not.") + # verify ids are unique between lists + intersection = input_set & output_set + if len(intersection) > 0: + issues.append(f"Ids must be unique between inputs and outputs, but {intersection} are not.") + if len(issues) > 0: + raise ValueError("\n".join(issues)) + + def finalize(self): + """Add hidden based on selected schema options, and give outputs without ids default ids.""" + # if is an api_node, will need key-related hidden + if self.is_api_node: + if self.hidden is None: + self.hidden = [] + if Hidden.auth_token_comfy_org not in self.hidden: + self.hidden.append(Hidden.auth_token_comfy_org) + if Hidden.api_key_comfy_org not in self.hidden: + self.hidden.append(Hidden.api_key_comfy_org) + # if is an output_node, will need prompt and extra_pnginfo + if self.is_output_node: + if self.hidden is None: + self.hidden = [] + if Hidden.prompt not in self.hidden: + self.hidden.append(Hidden.prompt) + if Hidden.extra_pnginfo not in self.hidden: + self.hidden.append(Hidden.extra_pnginfo) + # give outputs without ids default ids + if self.outputs is not None: + for i, output in enumerate(self.outputs): + if output.id is None: + output.id = f"_{i}_{output.io_type}_" + + def get_v1_info(self, cls) -> NodeInfoV1: + # get V1 inputs + input = { + "required": {} + } + if self.inputs: + for i in self.inputs: + if isinstance(i, DynamicInput): + dynamic_inputs = i.get_dynamic() + for d in dynamic_inputs: + add_to_dict_v1(d, input) + else: + add_to_dict_v1(i, input) + if self.hidden: + for hidden in self.hidden: + input.setdefault("hidden", {})[hidden.name] = (hidden.value,) + # create separate lists from output fields + output = [] + output_is_list = [] + output_name = [] + output_tooltips = [] + if self.outputs: + for o in self.outputs: + output.append(o.io_type) + output_is_list.append(o.is_output_list) + output_name.append(o.display_name if o.display_name else o.io_type) + output_tooltips.append(o.tooltip if o.tooltip else None) + + info = NodeInfoV1( + input=input, + input_order={key: list(value.keys()) for (key, value) in input.items()}, + output=output, + output_is_list=output_is_list, + output_name=output_name, + output_tooltips=output_tooltips, + name=self.node_id, + display_name=self.display_name, + category=self.category, + description=self.description, + output_node=self.is_output_node, + deprecated=self.is_deprecated, + experimental=self.is_experimental, + api_node=self.is_api_node, + python_module=getattr(cls, "RELATIVE_PYTHON_MODULE", "nodes") + ) + return info + + + def get_v3_info(self, cls) -> NodeInfoV3: + input_dict = {} + output_dict = {} + hidden_list = [] + # TODO: make sure dynamic types will be handled correctly + if self.inputs: + for input in self.inputs: + add_to_dict_v3(input, input_dict) + if self.outputs: + for output in self.outputs: + add_to_dict_v3(output, output_dict) + if self.hidden: + for hidden in self.hidden: + hidden_list.append(hidden.value) + + info = NodeInfoV3( + input=input_dict, + output=output_dict, + hidden=hidden_list, + name=self.node_id, + display_name=self.display_name, + description=self.description, + category=self.category, + output_node=self.is_output_node, + deprecated=self.is_deprecated, + experimental=self.is_experimental, + api_node=self.is_api_node, + python_module=getattr(cls, "RELATIVE_PYTHON_MODULE", "nodes") + ) + return info + + +def add_to_dict_v1(i: Input, input: dict): + key = "optional" if i.optional else "required" + as_dict = i.as_dict() + # for v1, we don't want to include the optional key + as_dict.pop("optional", None) + input.setdefault(key, {})[i.id] = (i.get_io_type(), as_dict) + +def add_to_dict_v3(io: Input | Output, d: dict): + d[io.id] = (io.get_io_type(), io.as_dict()) + + + +class _ComfyNodeBaseInternal(_ComfyNodeInternal): + """Common base class for storing internal methods and properties; DO NOT USE for defining nodes.""" + + RELATIVE_PYTHON_MODULE = None + SCHEMA = None + + # filled in during execution + resources: Resources = None + hidden: HiddenHolder = None + + @classmethod + @abstractmethod + def define_schema(cls) -> Schema: + """Override this function with one that returns a Schema instance.""" + raise NotImplementedError + + @classmethod + @abstractmethod + def execute(cls, **kwargs) -> NodeOutput: + """Override this function with one that performs node's actions.""" + raise NotImplementedError + + @classmethod + def validate_inputs(cls, **kwargs) -> bool | str: + """Optionally, define this function to validate inputs; equivalent to V1's VALIDATE_INPUTS. + + If the function returns a string, it will be used as the validation error message for the node. + """ + raise NotImplementedError + + @classmethod + def fingerprint_inputs(cls, **kwargs) -> Any: + """Optionally, define this function to fingerprint inputs; equivalent to V1's IS_CHANGED. + + If this function returns the same value as last run, the node will not be executed.""" + raise NotImplementedError + + @classmethod + def check_lazy_status(cls, **kwargs) -> list[str]: + """Optionally, define this function to return a list of input names that should be evaluated. + + This basic mixin impl. requires all inputs. + + :kwargs: All node inputs will be included here. If the input is ``None``, it should be assumed that it has not yet been evaluated. \ + When using ``INPUT_IS_LIST = True``, unevaluated will instead be ``(None,)``. + + Params should match the nodes execution ``FUNCTION`` (self, and all inputs by name). + Will be executed repeatedly until it returns an empty list, or all requested items were already evaluated (and sent as params). + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lazy_evaluation#defining-check-lazy-status + """ + return [name for name in kwargs if kwargs[name] is None] + + def __init__(self): + self.local_resources: ResourcesLocal = None + self.__class__.VALIDATE_CLASS() + + @classmethod + def GET_BASE_CLASS(cls): + return _ComfyNodeBaseInternal + + @final + @classmethod + def VALIDATE_CLASS(cls): + if first_real_override(cls, "define_schema") is None: + raise Exception(f"No define_schema function was defined for node class {cls.__name__}.") + if first_real_override(cls, "execute") is None: + raise Exception(f"No execute function was defined for node class {cls.__name__}.") + + @classproperty + def FUNCTION(cls): # noqa + if inspect.iscoroutinefunction(cls.execute): + return "EXECUTE_NORMALIZED_ASYNC" + return "EXECUTE_NORMALIZED" + + @final + @classmethod + def EXECUTE_NORMALIZED(cls, *args, **kwargs) -> NodeOutput: + to_return = cls.execute(*args, **kwargs) + if to_return is None: + to_return = NodeOutput() + elif isinstance(to_return, NodeOutput): + pass + elif isinstance(to_return, tuple): + to_return = NodeOutput(*to_return) + elif isinstance(to_return, dict): + to_return = NodeOutput.from_dict(to_return) + elif isinstance(to_return, ExecutionBlocker): + to_return = NodeOutput(block_execution=to_return.message) + else: + raise Exception(f"Invalid return type from node: {type(to_return)}") + if to_return.expand is not None and not cls.SCHEMA.enable_expand: + raise Exception(f"Node {cls.__name__} is not expandable, but expand included in NodeOutput; developer should set enable_expand=True on node's Schema to allow this.") + return to_return + + @final + @classmethod + async def EXECUTE_NORMALIZED_ASYNC(cls, *args, **kwargs) -> NodeOutput: + to_return = await cls.execute(*args, **kwargs) + if to_return is None: + to_return = NodeOutput() + elif isinstance(to_return, NodeOutput): + pass + elif isinstance(to_return, tuple): + to_return = NodeOutput(*to_return) + elif isinstance(to_return, dict): + to_return = NodeOutput.from_dict(to_return) + elif isinstance(to_return, ExecutionBlocker): + to_return = NodeOutput(block_execution=to_return.message) + else: + raise Exception(f"Invalid return type from node: {type(to_return)}") + if to_return.expand is not None and not cls.SCHEMA.enable_expand: + raise Exception(f"Node {cls.__name__} is not expandable, but expand included in NodeOutput; developer should set enable_expand=True on node's Schema to allow this.") + return to_return + + @final + @classmethod + def PREPARE_CLASS_CLONE(cls, hidden_inputs: dict) -> type[ComfyNode]: + """Creates clone of real node class to prevent monkey-patching.""" + c_type: type[ComfyNode] = cls if is_class(cls) else type(cls) + type_clone: type[ComfyNode] = shallow_clone_class(c_type) + # set hidden + type_clone.hidden = HiddenHolder.from_dict(hidden_inputs) + return type_clone + + @final + @classmethod + def GET_NODE_INFO_V3(cls) -> dict[str, Any]: + schema = cls.GET_SCHEMA() + info = schema.get_v3_info(cls) + return asdict(info) + ############################################# + # V1 Backwards Compatibility code + #-------------------------------------------- + @final + @classmethod + def GET_NODE_INFO_V1(cls) -> dict[str, Any]: + schema = cls.GET_SCHEMA() + info = schema.get_v1_info(cls) + return asdict(info) + + _DESCRIPTION = None + @final + @classproperty + def DESCRIPTION(cls): # noqa + if cls._DESCRIPTION is None: + cls.GET_SCHEMA() + return cls._DESCRIPTION + + _CATEGORY = None + @final + @classproperty + def CATEGORY(cls): # noqa + if cls._CATEGORY is None: + cls.GET_SCHEMA() + return cls._CATEGORY + + _EXPERIMENTAL = None + @final + @classproperty + def EXPERIMENTAL(cls): # noqa + if cls._EXPERIMENTAL is None: + cls.GET_SCHEMA() + return cls._EXPERIMENTAL + + _DEPRECATED = None + @final + @classproperty + def DEPRECATED(cls): # noqa + if cls._DEPRECATED is None: + cls.GET_SCHEMA() + return cls._DEPRECATED + + _API_NODE = None + @final + @classproperty + def API_NODE(cls): # noqa + if cls._API_NODE is None: + cls.GET_SCHEMA() + return cls._API_NODE + + _OUTPUT_NODE = None + @final + @classproperty + def OUTPUT_NODE(cls): # noqa + if cls._OUTPUT_NODE is None: + cls.GET_SCHEMA() + return cls._OUTPUT_NODE + + _INPUT_IS_LIST = None + @final + @classproperty + def INPUT_IS_LIST(cls): # noqa + if cls._INPUT_IS_LIST is None: + cls.GET_SCHEMA() + return cls._INPUT_IS_LIST + _OUTPUT_IS_LIST = None + + @final + @classproperty + def OUTPUT_IS_LIST(cls): # noqa + if cls._OUTPUT_IS_LIST is None: + cls.GET_SCHEMA() + return cls._OUTPUT_IS_LIST + + _RETURN_TYPES = None + @final + @classproperty + def RETURN_TYPES(cls): # noqa + if cls._RETURN_TYPES is None: + cls.GET_SCHEMA() + return cls._RETURN_TYPES + + _RETURN_NAMES = None + @final + @classproperty + def RETURN_NAMES(cls): # noqa + if cls._RETURN_NAMES is None: + cls.GET_SCHEMA() + return cls._RETURN_NAMES + + _OUTPUT_TOOLTIPS = None + @final + @classproperty + def OUTPUT_TOOLTIPS(cls): # noqa + if cls._OUTPUT_TOOLTIPS is None: + cls.GET_SCHEMA() + return cls._OUTPUT_TOOLTIPS + + _NOT_IDEMPOTENT = None + @final + @classproperty + def NOT_IDEMPOTENT(cls): # noqa + if cls._NOT_IDEMPOTENT is None: + cls.GET_SCHEMA() + return cls._NOT_IDEMPOTENT + + @final + @classmethod + def INPUT_TYPES(cls, include_hidden=True, return_schema=False) -> dict[str, dict] | tuple[dict[str, dict], Schema]: + schema = cls.FINALIZE_SCHEMA() + info = schema.get_v1_info(cls) + input = info.input + if not include_hidden: + input.pop("hidden", None) + if return_schema: + return input, schema + return input + + @final + @classmethod + def FINALIZE_SCHEMA(cls): + """Call define_schema and finalize it.""" + schema = cls.define_schema() + schema.finalize() + return schema + + @final + @classmethod + def GET_SCHEMA(cls) -> Schema: + """Validate node class, finalize schema, validate schema, and set expected class properties.""" + cls.VALIDATE_CLASS() + schema = cls.FINALIZE_SCHEMA() + schema.validate() + if cls._DESCRIPTION is None: + cls._DESCRIPTION = schema.description + if cls._CATEGORY is None: + cls._CATEGORY = schema.category + if cls._EXPERIMENTAL is None: + cls._EXPERIMENTAL = schema.is_experimental + if cls._DEPRECATED is None: + cls._DEPRECATED = schema.is_deprecated + if cls._API_NODE is None: + cls._API_NODE = schema.is_api_node + if cls._OUTPUT_NODE is None: + cls._OUTPUT_NODE = schema.is_output_node + if cls._INPUT_IS_LIST is None: + cls._INPUT_IS_LIST = schema.is_input_list + if cls._NOT_IDEMPOTENT is None: + cls._NOT_IDEMPOTENT = schema.not_idempotent + + if cls._RETURN_TYPES is None: + output = [] + output_name = [] + output_is_list = [] + output_tooltips = [] + if schema.outputs: + for o in schema.outputs: + output.append(o.io_type) + output_name.append(o.display_name if o.display_name else o.io_type) + output_is_list.append(o.is_output_list) + output_tooltips.append(o.tooltip if o.tooltip else None) + + cls._RETURN_TYPES = output + cls._RETURN_NAMES = output_name + cls._OUTPUT_IS_LIST = output_is_list + cls._OUTPUT_TOOLTIPS = output_tooltips + cls.SCHEMA = schema + return schema + #-------------------------------------------- + ############################################# + + +class ComfyNode(_ComfyNodeBaseInternal): + """Common base class for all V3 nodes.""" + + @classmethod + @abstractmethod + def define_schema(cls) -> Schema: + """Override this function with one that returns a Schema instance.""" + raise NotImplementedError + + @classmethod + @abstractmethod + def execute(cls, **kwargs) -> NodeOutput: + """Override this function with one that performs node's actions.""" + raise NotImplementedError + + @classmethod + def validate_inputs(cls, **kwargs) -> bool: + """Optionally, define this function to validate inputs; equivalent to V1's VALIDATE_INPUTS.""" + raise NotImplementedError + + @classmethod + def fingerprint_inputs(cls, **kwargs) -> Any: + """Optionally, define this function to fingerprint inputs; equivalent to V1's IS_CHANGED.""" + raise NotImplementedError + + @classmethod + def check_lazy_status(cls, **kwargs) -> list[str]: + """Optionally, define this function to return a list of input names that should be evaluated. + + This basic mixin impl. requires all inputs. + + :kwargs: All node inputs will be included here. If the input is ``None``, it should be assumed that it has not yet been evaluated. \ + When using ``INPUT_IS_LIST = True``, unevaluated will instead be ``(None,)``. + + Params should match the nodes execution ``FUNCTION`` (self, and all inputs by name). + Will be executed repeatedly until it returns an empty list, or all requested items were already evaluated (and sent as params). + + Comfy Docs: https://docs.comfy.org/custom-nodes/backend/lazy_evaluation#defining-check-lazy-status + """ + return [name for name in kwargs if kwargs[name] is None] + + @final + @classmethod + def GET_BASE_CLASS(cls): + """DO NOT override this class. Will break things in execution.py.""" + return ComfyNode + + +class NodeOutput(_NodeOutputInternal): + ''' + Standardized output of a node; can pass in any number of args and/or a UIOutput into 'ui' kwarg. + ''' + def __init__(self, *args: Any, ui: _UIOutput | dict=None, expand: dict=None, block_execution: str=None): + self.args = args + self.ui = ui + self.expand = expand + self.block_execution = block_execution + + @property + def result(self): + return self.args if len(self.args) > 0 else None + + @classmethod + def from_dict(cls, data: dict[str, Any]) -> "NodeOutput": + args = () + ui = None + expand = None + if "result" in data: + result = data["result"] + if isinstance(result, ExecutionBlocker): + return cls(block_execution=result.message) + args = result + if "ui" in data: + ui = data["ui"] + if "expand" in data: + expand = data["expand"] + return cls(args=args, ui=ui, expand=expand) + + def __getitem__(self, index) -> Any: + return self.args[index] + +class _UIOutput(ABC): + def __init__(self): + pass + + @abstractmethod + def as_dict(self) -> dict: + ... + + +class _IO: + FolderType = FolderType + UploadType = UploadType + RemoteOptions = RemoteOptions + NumberDisplay = NumberDisplay + + comfytype = staticmethod(comfytype) + Custom = staticmethod(Custom) + Input = Input + WidgetInput = WidgetInput + Output = Output + ComfyTypeI = ComfyTypeI + ComfyTypeIO = ComfyTypeIO + #--------------------------------- + # Supported Types + Boolean = Boolean + Int = Int + Float = Float + String = String + Combo = Combo + MultiCombo = MultiCombo + Image = Image + WanCameraEmbedding = WanCameraEmbedding + Webcam = Webcam + Mask = Mask + Latent = Latent + Conditioning = Conditioning + Sampler = Sampler + Sigmas = Sigmas + Noise = Noise + Guider = Guider + Clip = Clip + ControlNet = ControlNet + Vae = Vae + Model = Model + ClipVision = ClipVision + ClipVisionOutput = ClipVisionOutput + AudioEncoderOutput = AudioEncoderOutput + StyleModel = StyleModel + Gligen = Gligen + UpscaleModel = UpscaleModel + Audio = Audio + Video = Video + SVG = SVG + LoraModel = LoraModel + LossMap = LossMap + Voxel = Voxel + Mesh = Mesh + Hooks = Hooks + HookKeyframes = HookKeyframes + TimestepsRange = TimestepsRange + LatentOperation = LatentOperation + FlowControl = FlowControl + Accumulation = Accumulation + Load3DCamera = Load3DCamera + Load3D = Load3D + Load3DAnimation = Load3DAnimation + Photomaker = Photomaker + Point = Point + FaceAnalysis = FaceAnalysis + BBOX = BBOX + SEGS = SEGS + AnyType = AnyType + MultiType = MultiType + #--------------------------------- + HiddenHolder = HiddenHolder + Hidden = Hidden + NodeInfoV1 = NodeInfoV1 + NodeInfoV3 = NodeInfoV3 + Schema = Schema + ComfyNode = ComfyNode + NodeOutput = NodeOutput + add_to_dict_v1 = staticmethod(add_to_dict_v1) + add_to_dict_v3 = staticmethod(add_to_dict_v3) diff --git a/comfy_api/latest/_resources.py b/comfy_api/latest/_resources.py new file mode 100644 index 0000000000000000000000000000000000000000..a6bdda97204ef1079a679bc6fe5ed49f05b683f6 --- /dev/null +++ b/comfy_api/latest/_resources.py @@ -0,0 +1,72 @@ +from __future__ import annotations +import comfy.utils +import folder_paths +import logging +from abc import ABC, abstractmethod +from typing import Any +import torch + +class ResourceKey(ABC): + Type = Any + def __init__(self): + ... + +class TorchDictFolderFilename(ResourceKey): + '''Key for requesting a torch file via file_name from a folder category.''' + Type = dict[str, torch.Tensor] + def __init__(self, folder_name: str, file_name: str): + self.folder_name = folder_name + self.file_name = file_name + + def __hash__(self): + return hash((self.folder_name, self.file_name)) + + def __eq__(self, other: object) -> bool: + if not isinstance(other, TorchDictFolderFilename): + return False + return self.folder_name == other.folder_name and self.file_name == other.file_name + + def __str__(self): + return f"{self.folder_name} -> {self.file_name}" + +class Resources(ABC): + def __init__(self): + ... + + @abstractmethod + def get(self, key: ResourceKey, default: Any=...) -> Any: + pass + +class ResourcesLocal(Resources): + def __init__(self): + super().__init__() + self.local_resources: dict[ResourceKey, Any] = {} + + def get(self, key: ResourceKey, default: Any=...) -> Any: + cached = self.local_resources.get(key, None) + if cached is not None: + logging.info(f"Using cached resource '{key}'") + return cached + logging.info(f"Loading resource '{key}'") + to_return = None + if isinstance(key, TorchDictFolderFilename): + if default is ...: + to_return = comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise(key.folder_name, key.file_name), safe_load=True) + else: + full_path = folder_paths.get_full_path(key.folder_name, key.file_name) + if full_path is not None: + to_return = comfy.utils.load_torch_file(full_path, safe_load=True) + + if to_return is not None: + self.local_resources[key] = to_return + return to_return + if default is not ...: + return default + raise Exception(f"Unsupported resource key type: {type(key)}") + + +class _RESOURCES: + ResourceKey = ResourceKey + TorchDictFolderFilename = TorchDictFolderFilename + Resources = Resources + ResourcesLocal = ResourcesLocal diff --git a/comfy_api/latest/_ui.py b/comfy_api/latest/_ui.py new file mode 100644 index 0000000000000000000000000000000000000000..26a55615f8c947f2b6e797a8ab6fd6683103bf70 --- /dev/null +++ b/comfy_api/latest/_ui.py @@ -0,0 +1,463 @@ +from __future__ import annotations + +import json +import os +import random +from io import BytesIO +from typing import Type + +import av +import numpy as np +import torch +try: + import torchaudio + TORCH_AUDIO_AVAILABLE = True +except: + TORCH_AUDIO_AVAILABLE = False +from PIL import Image as PILImage +from PIL.PngImagePlugin import PngInfo + +import folder_paths + +# used for image preview +from comfy.cli_args import args +from comfy_api.latest._io import ComfyNode, FolderType, Image, _UIOutput + + +class SavedResult(dict): + def __init__(self, filename: str, subfolder: str, type: FolderType): + super().__init__(filename=filename, subfolder=subfolder,type=type.value) + + @property + def filename(self) -> str: + return self["filename"] + + @property + def subfolder(self) -> str: + return self["subfolder"] + + @property + def type(self) -> FolderType: + return FolderType(self["type"]) + + +class SavedImages(_UIOutput): + """A UI output class to represent one or more saved images, potentially animated.""" + def __init__(self, results: list[SavedResult], is_animated: bool = False): + super().__init__() + self.results = results + self.is_animated = is_animated + + def as_dict(self) -> dict: + data = {"images": self.results} + if self.is_animated: + data["animated"] = (True,) + return data + + +class SavedAudios(_UIOutput): + """UI wrapper around one or more audio files on disk (FLAC / MP3 / Opus).""" + def __init__(self, results: list[SavedResult]): + super().__init__() + self.results = results + + def as_dict(self) -> dict: + return {"audio": self.results} + + +def _get_directory_by_folder_type(folder_type: FolderType) -> str: + if folder_type == FolderType.input: + return folder_paths.get_input_directory() + if folder_type == FolderType.output: + return folder_paths.get_output_directory() + return folder_paths.get_temp_directory() + + +class ImageSaveHelper: + """A helper class with static methods to handle image saving and metadata.""" + + @staticmethod + def _convert_tensor_to_pil(image_tensor: torch.Tensor) -> PILImage.Image: + """Converts a single torch tensor to a PIL Image.""" + return PILImage.fromarray(np.clip(255.0 * image_tensor.cpu().numpy(), 0, 255).astype(np.uint8)) + + @staticmethod + def _create_png_metadata(cls: Type[ComfyNode] | None) -> PngInfo | None: + """Creates a PngInfo object with prompt and extra_pnginfo.""" + if args.disable_metadata or cls is None or not cls.hidden: + return None + metadata = PngInfo() + if cls.hidden.prompt: + metadata.add_text("prompt", json.dumps(cls.hidden.prompt)) + if cls.hidden.extra_pnginfo: + for x in cls.hidden.extra_pnginfo: + metadata.add_text(x, json.dumps(cls.hidden.extra_pnginfo[x])) + return metadata + + @staticmethod + def _create_animated_png_metadata(cls: Type[ComfyNode] | None) -> PngInfo | None: + """Creates a PngInfo object with prompt and extra_pnginfo for animated PNGs (APNG).""" + if args.disable_metadata or cls is None or not cls.hidden: + return None + metadata = PngInfo() + if cls.hidden.prompt: + metadata.add( + b"comf", + "prompt".encode("latin-1", "strict") + + b"\0" + + json.dumps(cls.hidden.prompt).encode("latin-1", "strict"), + after_idat=True, + ) + if cls.hidden.extra_pnginfo: + for x in cls.hidden.extra_pnginfo: + metadata.add( + b"comf", + x.encode("latin-1", "strict") + + b"\0" + + json.dumps(cls.hidden.extra_pnginfo[x]).encode("latin-1", "strict"), + after_idat=True, + ) + return metadata + + @staticmethod + def _create_webp_metadata(pil_image: PILImage.Image, cls: Type[ComfyNode] | None) -> PILImage.Exif: + """Creates EXIF metadata bytes for WebP images.""" + exif_data = pil_image.getexif() + if args.disable_metadata or cls is None or cls.hidden is None: + return exif_data + if cls.hidden.prompt is not None: + exif_data[0x0110] = "prompt:{}".format(json.dumps(cls.hidden.prompt)) # EXIF 0x0110 = Model + if cls.hidden.extra_pnginfo is not None: + inital_exif_tag = 0x010F # EXIF 0x010f = Make + for key, value in cls.hidden.extra_pnginfo.items(): + exif_data[inital_exif_tag] = "{}:{}".format(key, json.dumps(value)) + inital_exif_tag -= 1 + return exif_data + + @staticmethod + def save_images( + images, filename_prefix: str, folder_type: FolderType, cls: Type[ComfyNode] | None, compress_level = 4, + ) -> list[SavedResult]: + """Saves a batch of images as individual PNG files.""" + full_output_folder, filename, counter, subfolder, _ = folder_paths.get_save_image_path( + filename_prefix, _get_directory_by_folder_type(folder_type), images[0].shape[1], images[0].shape[0] + ) + results = [] + metadata = ImageSaveHelper._create_png_metadata(cls) + for batch_number, image_tensor in enumerate(images): + img = ImageSaveHelper._convert_tensor_to_pil(image_tensor) + filename_with_batch_num = filename.replace("%batch_num%", str(batch_number)) + file = f"{filename_with_batch_num}_{counter:05}_.png" + img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=compress_level) + results.append(SavedResult(file, subfolder, folder_type)) + counter += 1 + return results + + @staticmethod + def get_save_images_ui(images, filename_prefix: str, cls: Type[ComfyNode] | None, compress_level=4) -> SavedImages: + """Saves a batch of images and returns a UI object for the node output.""" + return SavedImages( + ImageSaveHelper.save_images( + images, + filename_prefix=filename_prefix, + folder_type=FolderType.output, + cls=cls, + compress_level=compress_level, + ) + ) + + @staticmethod + def save_animated_png( + images, filename_prefix: str, folder_type: FolderType, cls: Type[ComfyNode] | None, fps: float, compress_level: int + ) -> SavedResult: + """Saves a batch of images as a single animated PNG.""" + full_output_folder, filename, counter, subfolder, _ = folder_paths.get_save_image_path( + filename_prefix, _get_directory_by_folder_type(folder_type), images[0].shape[1], images[0].shape[0] + ) + pil_images = [ImageSaveHelper._convert_tensor_to_pil(img) for img in images] + metadata = ImageSaveHelper._create_animated_png_metadata(cls) + file = f"{filename}_{counter:05}_.png" + save_path = os.path.join(full_output_folder, file) + pil_images[0].save( + save_path, + pnginfo=metadata, + compress_level=compress_level, + save_all=True, + duration=int(1000.0 / fps), + append_images=pil_images[1:], + ) + return SavedResult(file, subfolder, folder_type) + + @staticmethod + def get_save_animated_png_ui( + images, filename_prefix: str, cls: Type[ComfyNode] | None, fps: float, compress_level: int + ) -> SavedImages: + """Saves an animated PNG and returns a UI object for the node output.""" + result = ImageSaveHelper.save_animated_png( + images, + filename_prefix=filename_prefix, + folder_type=FolderType.output, + cls=cls, + fps=fps, + compress_level=compress_level, + ) + return SavedImages([result], is_animated=len(images) > 1) + + @staticmethod + def save_animated_webp( + images, + filename_prefix: str, + folder_type: FolderType, + cls: Type[ComfyNode] | None, + fps: float, + lossless: bool, + quality: int, + method: int, + ) -> SavedResult: + """Saves a batch of images as a single animated WebP.""" + full_output_folder, filename, counter, subfolder, _ = folder_paths.get_save_image_path( + filename_prefix, _get_directory_by_folder_type(folder_type), images[0].shape[1], images[0].shape[0] + ) + pil_images = [ImageSaveHelper._convert_tensor_to_pil(img) for img in images] + pil_exif = ImageSaveHelper._create_webp_metadata(pil_images[0], cls) + file = f"{filename}_{counter:05}_.webp" + pil_images[0].save( + os.path.join(full_output_folder, file), + save_all=True, + duration=int(1000.0 / fps), + append_images=pil_images[1:], + exif=pil_exif, + lossless=lossless, + quality=quality, + method=method, + ) + return SavedResult(file, subfolder, folder_type) + + @staticmethod + def get_save_animated_webp_ui( + images, + filename_prefix: str, + cls: Type[ComfyNode] | None, + fps: float, + lossless: bool, + quality: int, + method: int, + ) -> SavedImages: + """Saves an animated WebP and returns a UI object for the node output.""" + result = ImageSaveHelper.save_animated_webp( + images, + filename_prefix=filename_prefix, + folder_type=FolderType.output, + cls=cls, + fps=fps, + lossless=lossless, + quality=quality, + method=method, + ) + return SavedImages([result], is_animated=len(images) > 1) + + +class AudioSaveHelper: + """A helper class with static methods to handle audio saving and metadata.""" + _OPUS_RATES = [8000, 12000, 16000, 24000, 48000] + + @staticmethod + def save_audio( + audio: dict, + filename_prefix: str, + folder_type: FolderType, + cls: Type[ComfyNode] | None, + format: str = "flac", + quality: str = "128k", + ) -> list[SavedResult]: + full_output_folder, filename, counter, subfolder, _ = folder_paths.get_save_image_path( + filename_prefix, _get_directory_by_folder_type(folder_type) + ) + + metadata = {} + if not args.disable_metadata and cls is not None: + if cls.hidden.prompt is not None: + metadata["prompt"] = json.dumps(cls.hidden.prompt) + if cls.hidden.extra_pnginfo is not None: + for x in cls.hidden.extra_pnginfo: + metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x]) + + results = [] + for batch_number, waveform in enumerate(audio["waveform"].cpu()): + filename_with_batch_num = filename.replace("%batch_num%", str(batch_number)) + file = f"{filename_with_batch_num}_{counter:05}_.{format}" + output_path = os.path.join(full_output_folder, file) + + # Use original sample rate initially + sample_rate = audio["sample_rate"] + + # Handle Opus sample rate requirements + if format == "opus": + if sample_rate > 48000: + sample_rate = 48000 + elif sample_rate not in AudioSaveHelper._OPUS_RATES: + # Find the next highest supported rate + for rate in sorted(AudioSaveHelper._OPUS_RATES): + if rate > sample_rate: + sample_rate = rate + break + if sample_rate not in AudioSaveHelper._OPUS_RATES: # Fallback if still not supported + sample_rate = 48000 + + # Resample if necessary + if sample_rate != audio["sample_rate"]: + if not TORCH_AUDIO_AVAILABLE: + raise Exception("torchaudio is not available; cannot resample audio.") + waveform = torchaudio.functional.resample(waveform, audio["sample_rate"], sample_rate) + + # Create output with specified format + output_buffer = BytesIO() + output_container = av.open(output_buffer, mode="w", format=format) + + # Set metadata on the container + for key, value in metadata.items(): + output_container.metadata[key] = value + + # Set up the output stream with appropriate properties + if format == "opus": + out_stream = output_container.add_stream("libopus", rate=sample_rate) + if quality == "64k": + out_stream.bit_rate = 64000 + elif quality == "96k": + out_stream.bit_rate = 96000 + elif quality == "128k": + out_stream.bit_rate = 128000 + elif quality == "192k": + out_stream.bit_rate = 192000 + elif quality == "320k": + out_stream.bit_rate = 320000 + elif format == "mp3": + out_stream = output_container.add_stream("libmp3lame", rate=sample_rate) + if quality == "V0": + # TODO i would really love to support V3 and V5 but there doesn't seem to be a way to set the qscale level, the property below is a bool + out_stream.codec_context.qscale = 1 + elif quality == "128k": + out_stream.bit_rate = 128000 + elif quality == "320k": + out_stream.bit_rate = 320000 + else: # format == "flac": + out_stream = output_container.add_stream("flac", rate=sample_rate) + + frame = av.AudioFrame.from_ndarray( + waveform.movedim(0, 1).reshape(1, -1).float().numpy(), + format="flt", + layout="mono" if waveform.shape[0] == 1 else "stereo", + ) + frame.sample_rate = sample_rate + frame.pts = 0 + output_container.mux(out_stream.encode(frame)) + + # Flush encoder + output_container.mux(out_stream.encode(None)) + + # Close containers + output_container.close() + + # Write the output to file + output_buffer.seek(0) + with open(output_path, "wb") as f: + f.write(output_buffer.getbuffer()) + + results.append(SavedResult(file, subfolder, folder_type)) + counter += 1 + + return results + + @staticmethod + def get_save_audio_ui( + audio, filename_prefix: str, cls: Type[ComfyNode] | None, format: str = "flac", quality: str = "128k", + ) -> SavedAudios: + """Save and instantly wrap for UI.""" + return SavedAudios( + AudioSaveHelper.save_audio( + audio, + filename_prefix=filename_prefix, + folder_type=FolderType.output, + cls=cls, + format=format, + quality=quality, + ) + ) + + +class PreviewImage(_UIOutput): + def __init__(self, image: Image.Type, animated: bool = False, cls: Type[ComfyNode] = None, **kwargs): + self.values = ImageSaveHelper.save_images( + image, + filename_prefix="ComfyUI_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for _ in range(5)), + folder_type=FolderType.temp, + cls=cls, + compress_level=1, + ) + self.animated = animated + + def as_dict(self): + return { + "images": self.values, + "animated": (self.animated,) + } + + +class PreviewMask(PreviewImage): + def __init__(self, mask: PreviewMask.Type, animated: bool=False, cls: ComfyNode=None, **kwargs): + preview = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3) + super().__init__(preview, animated, cls, **kwargs) + + +class PreviewAudio(_UIOutput): + def __init__(self, audio: dict, cls: Type[ComfyNode] = None, **kwargs): + self.values = AudioSaveHelper.save_audio( + audio, + filename_prefix="ComfyUI_temp_" + "".join(random.choice("abcdefghijklmnopqrstuvwxyz") for _ in range(5)), + folder_type=FolderType.temp, + cls=cls, + format="flac", + quality="128k", + ) + + def as_dict(self) -> dict: + return {"audio": self.values} + + +class PreviewVideo(_UIOutput): + def __init__(self, values: list[SavedResult | dict], **kwargs): + self.values = values + + def as_dict(self): + return {"images": self.values, "animated": (True,)} + + +class PreviewUI3D(_UIOutput): + def __init__(self, model_file, camera_info, **kwargs): + self.model_file = model_file + self.camera_info = camera_info + + def as_dict(self): + return {"result": [self.model_file, self.camera_info]} + + +class PreviewText(_UIOutput): + def __init__(self, value: str, **kwargs): + self.value = value + + def as_dict(self): + return {"text": (self.value,)} + + +class _UI: + SavedResult = SavedResult + SavedImages = SavedImages + SavedAudios = SavedAudios + ImageSaveHelper = ImageSaveHelper + AudioSaveHelper = AudioSaveHelper + PreviewImage = PreviewImage + PreviewMask = PreviewMask + PreviewAudio = PreviewAudio + PreviewVideo = PreviewVideo + PreviewUI3D = PreviewUI3D + PreviewText = PreviewText diff --git a/comfy_api/latest/_util/__init__.py b/comfy_api/latest/_util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..9019c46dbbcd58a7024301d3bc1bd53570a83bc0 --- /dev/null +++ b/comfy_api/latest/_util/__init__.py @@ -0,0 +1,8 @@ +from .video_types import VideoContainer, VideoCodec, VideoComponents + +__all__ = [ + # Utility Types + "VideoContainer", + "VideoCodec", + "VideoComponents", +] diff --git a/comfy_api/latest/_util/video_types.py b/comfy_api/latest/_util/video_types.py new file mode 100644 index 0000000000000000000000000000000000000000..c3e3d8e3a5bb25cdfe51309f0b9fdb9a55d97eb6 --- /dev/null +++ b/comfy_api/latest/_util/video_types.py @@ -0,0 +1,52 @@ +from __future__ import annotations +from dataclasses import dataclass +from enum import Enum +from fractions import Fraction +from typing import Optional +from comfy_api.latest._input import ImageInput, AudioInput + +class VideoCodec(str, Enum): + AUTO = "auto" + H264 = "h264" + + @classmethod + def as_input(cls) -> list[str]: + """ + Returns a list of codec names that can be used as node input. + """ + return [member.value for member in cls] + +class VideoContainer(str, Enum): + AUTO = "auto" + MP4 = "mp4" + + @classmethod + def as_input(cls) -> list[str]: + """ + Returns a list of container names that can be used as node input. + """ + return [member.value for member in cls] + + @classmethod + def get_extension(cls, value) -> str: + """ + Returns the file extension for the container. + """ + if isinstance(value, str): + value = cls(value) + if value == VideoContainer.MP4 or value == VideoContainer.AUTO: + return "mp4" + return "" + +@dataclass +class VideoComponents: + """ + Dataclass representing the components of a video. + """ + + images: ImageInput + frame_rate: Fraction + audio: Optional[AudioInput] = None + metadata: Optional[dict] = None + + diff --git a/comfy_api/latest/generated/ComfyAPISyncStub.pyi b/comfy_api/latest/generated/ComfyAPISyncStub.pyi new file mode 100644 index 0000000000000000000000000000000000000000..525c074dda49d12f5f9eca7bd3b82abe8799c862 --- /dev/null +++ b/comfy_api/latest/generated/ComfyAPISyncStub.pyi @@ -0,0 +1,20 @@ +from typing import Any, Dict, List, Optional, Tuple, Union, Set, Sequence, cast, NamedTuple +from comfy_api.latest import ComfyAPI_latest +from PIL.Image import Image +from torch import Tensor +class ComfyAPISyncStub: + def __init__(self) -> None: ... + + class ExecutionSync: + def __init__(self) -> None: ... + """ + Update the progress bar displayed in the ComfyUI interface. + + This function allows custom nodes and API calls to report their progress + back to the user interface, providing visual feedback during long operations. + + Migration from previous API: comfy.utils.PROGRESS_BAR_HOOK + """ + def set_progress(self, value: float, max_value: float, node_id: Union[str, None] = None, preview_image: Union[Image, Tensor, None] = None, ignore_size_limit: bool = False) -> None: ... + + execution: ExecutionSync diff --git a/comfy_api/torch_helpers/__init__.py b/comfy_api/torch_helpers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..be7ae7a6165bdeed5013806a7adde1a02c0ac93f --- /dev/null +++ b/comfy_api/torch_helpers/__init__.py @@ -0,0 +1,5 @@ +from .torch_compile import set_torch_compile_wrapper + +__all__ = [ + "set_torch_compile_wrapper", +] diff --git a/comfy_api/torch_helpers/torch_compile.py b/comfy_api/torch_helpers/torch_compile.py new file mode 100644 index 0000000000000000000000000000000000000000..9223f58db22415897cbf3d6239511d289f5e1091 --- /dev/null +++ b/comfy_api/torch_helpers/torch_compile.py @@ -0,0 +1,69 @@ +from __future__ import annotations +import torch + +import comfy.utils +from comfy.patcher_extension import WrappersMP +from typing import TYPE_CHECKING, Callable, Optional +if TYPE_CHECKING: + from comfy.model_patcher import ModelPatcher + from comfy.patcher_extension import WrapperExecutor + + +COMPILE_KEY = "torch.compile" +TORCH_COMPILE_KWARGS = "torch_compile_kwargs" + + +def apply_torch_compile_factory(compiled_module_dict: dict[str, Callable]) -> Callable: + ''' + Create a wrapper that will refer to the compiled_diffusion_model. + ''' + def apply_torch_compile_wrapper(executor: WrapperExecutor, *args, **kwargs): + try: + orig_modules = {} + for key, value in compiled_module_dict.items(): + orig_modules[key] = comfy.utils.get_attr(executor.class_obj, key) + comfy.utils.set_attr(executor.class_obj, key, value) + return executor(*args, **kwargs) + finally: + for key, value in orig_modules.items(): + comfy.utils.set_attr(executor.class_obj, key, value) + return apply_torch_compile_wrapper + + +def set_torch_compile_wrapper(model: ModelPatcher, backend: str, options: Optional[dict[str,str]]=None, + mode: Optional[str]=None, fullgraph=False, dynamic: Optional[bool]=None, + keys: list[str]=["diffusion_model"], *args, **kwargs): + ''' + Perform torch.compile that will be applied at sample time for either the whole model or specific params of the BaseModel instance. + + When keys is None, it will default to using ["diffusion_model"], compiling the whole diffusion_model. + When a list of keys is provided, it will perform torch.compile on only the selected modules. + ''' + # clear out any other torch.compile wrappers + model.remove_wrappers_with_key(WrappersMP.APPLY_MODEL, COMPILE_KEY) + # if no keys, default to 'diffusion_model' + if not keys: + keys = ["diffusion_model"] + # create kwargs dict that can be referenced later + compile_kwargs = { + "backend": backend, + "options": options, + "mode": mode, + "fullgraph": fullgraph, + "dynamic": dynamic, + } + # get a dict of compiled keys + compiled_modules = {} + for key in keys: + compiled_modules[key] = torch.compile( + model=model.get_model_object(key), + **compile_kwargs, + ) + # add torch.compile wrapper + wrapper_func = apply_torch_compile_factory( + compiled_module_dict=compiled_modules, + ) + # store wrapper to run on BaseModel's apply_model function + model.add_wrapper_with_key(WrappersMP.APPLY_MODEL, COMPILE_KEY, wrapper_func) + # keep compile kwargs for reference + model.model_options[TORCH_COMPILE_KWARGS] = compile_kwargs diff --git a/comfy_api/util.py b/comfy_api/util.py new file mode 100644 index 0000000000000000000000000000000000000000..1aa9606d2e4691657ed3580fc7a1e4a55aaf886c --- /dev/null +++ b/comfy_api/util.py @@ -0,0 +1,8 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._util import VideoCodec, VideoContainer, VideoComponents + +__all__ = [ + "VideoCodec", + "VideoContainer", + "VideoComponents", +] diff --git a/comfy_api/util/__init__.py b/comfy_api/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4c8a89d1e077d0b331de5506ba69b50a99de2bd2 --- /dev/null +++ b/comfy_api/util/__init__.py @@ -0,0 +1,8 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._util import VideoContainer, VideoCodec, VideoComponents + +__all__ = [ + "VideoContainer", + "VideoCodec", + "VideoComponents", +] diff --git a/comfy_api/util/video_types.py b/comfy_api/util/video_types.py new file mode 100644 index 0000000000000000000000000000000000000000..68c780d64daffa6fb621821e111330cb388c07e0 --- /dev/null +++ b/comfy_api/util/video_types.py @@ -0,0 +1,12 @@ +# This file only exists for backwards compatibility. +from comfy_api.latest._util.video_types import ( + VideoContainer, + VideoCodec, + VideoComponents, +) + +__all__ = [ + "VideoContainer", + "VideoCodec", + "VideoComponents", +] diff --git a/comfy_api/v0_0_1/__init__.py b/comfy_api/v0_0_1/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..93608771d156017233cadc5af3ba2d52c82f1529 --- /dev/null +++ b/comfy_api/v0_0_1/__init__.py @@ -0,0 +1,42 @@ +from comfy_api.v0_0_2 import ( + ComfyAPIAdapter_v0_0_2, + Input as Input_v0_0_2, + InputImpl as InputImpl_v0_0_2, + Types as Types_v0_0_2, +) +from typing import Type, TYPE_CHECKING +from comfy_api.internal.async_to_sync import create_sync_class + + +# This version only exists to serve as a template for future version adapters. +# There is no reason anyone should ever use it. +class ComfyAPIAdapter_v0_0_1(ComfyAPIAdapter_v0_0_2): + VERSION = "0.0.1" + STABLE = True + +class Input(Input_v0_0_2): + pass + +class InputImpl(InputImpl_v0_0_2): + pass + +class Types(Types_v0_0_2): + pass + +ComfyAPI = ComfyAPIAdapter_v0_0_1 + +# Create a synchronous version of the API +if TYPE_CHECKING: + from comfy_api.v0_0_1.generated.ComfyAPISyncStub import ComfyAPISyncStub # type: ignore + + ComfyAPISync: Type[ComfyAPISyncStub] + +ComfyAPISync = create_sync_class(ComfyAPIAdapter_v0_0_1) + +__all__ = [ + "ComfyAPI", + "ComfyAPISync", + "Input", + "InputImpl", + "Types", +] diff --git a/comfy_api/v0_0_1/generated/ComfyAPISyncStub.pyi b/comfy_api/v0_0_1/generated/ComfyAPISyncStub.pyi new file mode 100644 index 0000000000000000000000000000000000000000..270030324cd155fdadc0f0d5009bca4be948fc0a --- /dev/null +++ b/comfy_api/v0_0_1/generated/ComfyAPISyncStub.pyi @@ -0,0 +1,20 @@ +from typing import Any, Dict, List, Optional, Tuple, Union, Set, Sequence, cast, NamedTuple +from comfy_api.v0_0_1 import ComfyAPIAdapter_v0_0_1 +from PIL.Image import Image +from torch import Tensor +class ComfyAPISyncStub: + def __init__(self) -> None: ... + + class ExecutionSync: + def __init__(self) -> None: ... + """ + Update the progress bar displayed in the ComfyUI interface. + + This function allows custom nodes and API calls to report their progress + back to the user interface, providing visual feedback during long operations. + + Migration from previous API: comfy.utils.PROGRESS_BAR_HOOK + """ + def set_progress(self, value: float, max_value: float, node_id: Union[str, None] = None, preview_image: Union[Image, Tensor, None] = None, ignore_size_limit: bool = False) -> None: ... + + execution: ExecutionSync diff --git a/comfy_api/v0_0_2/__init__.py b/comfy_api/v0_0_2/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..de0f95001ba79361ce9f85dff20874351be4e725 --- /dev/null +++ b/comfy_api/v0_0_2/__init__.py @@ -0,0 +1,45 @@ +from comfy_api.latest import ( + ComfyAPI_latest, + Input as Input_latest, + InputImpl as InputImpl_latest, + Types as Types_latest, +) +from typing import Type, TYPE_CHECKING +from comfy_api.internal.async_to_sync import create_sync_class +from comfy_api.latest import io, ui, ComfyExtension #noqa: F401 + + +class ComfyAPIAdapter_v0_0_2(ComfyAPI_latest): + VERSION = "0.0.2" + STABLE = False + + +class Input(Input_latest): + pass + + +class InputImpl(InputImpl_latest): + pass + + +class Types(Types_latest): + pass + + +ComfyAPI = ComfyAPIAdapter_v0_0_2 + +# Create a synchronous version of the API +if TYPE_CHECKING: + from comfy_api.v0_0_2.generated.ComfyAPISyncStub import ComfyAPISyncStub # type: ignore + + ComfyAPISync: Type[ComfyAPISyncStub] +ComfyAPISync = create_sync_class(ComfyAPIAdapter_v0_0_2) + +__all__ = [ + "ComfyAPI", + "ComfyAPISync", + "Input", + "InputImpl", + "Types", + "ComfyExtension", +] diff --git a/comfy_api/v0_0_2/generated/ComfyAPISyncStub.pyi b/comfy_api/v0_0_2/generated/ComfyAPISyncStub.pyi new file mode 100644 index 0000000000000000000000000000000000000000..7fcec685e880e68106a35f6fd8ebf84ea07769e3 --- /dev/null +++ b/comfy_api/v0_0_2/generated/ComfyAPISyncStub.pyi @@ -0,0 +1,20 @@ +from typing import Any, Dict, List, Optional, Tuple, Union, Set, Sequence, cast, NamedTuple +from comfy_api.v0_0_2 import ComfyAPIAdapter_v0_0_2 +from PIL.Image import Image +from torch import Tensor +class ComfyAPISyncStub: + def __init__(self) -> None: ... + + class ExecutionSync: + def __init__(self) -> None: ... + """ + Update the progress bar displayed in the ComfyUI interface. + + This function allows custom nodes and API calls to report their progress + back to the user interface, providing visual feedback during long operations. + + Migration from previous API: comfy.utils.PROGRESS_BAR_HOOK + """ + def set_progress(self, value: float, max_value: float, node_id: Union[str, None] = None, preview_image: Union[Image, Tensor, None] = None, ignore_size_limit: bool = False) -> None: ... + + execution: ExecutionSync diff --git a/comfy_api/version_list.py b/comfy_api/version_list.py new file mode 100644 index 0000000000000000000000000000000000000000..7cb1871d5a1fbce221d100dd63327361343faafe --- /dev/null +++ b/comfy_api/version_list.py @@ -0,0 +1,12 @@ +from comfy_api.latest import ComfyAPI_latest +from comfy_api.v0_0_2 import ComfyAPIAdapter_v0_0_2 +from comfy_api.v0_0_1 import ComfyAPIAdapter_v0_0_1 +from comfy_api.internal import ComfyAPIBase +from typing import List, Type + +supported_versions: List[Type[ComfyAPIBase]] = [ + ComfyAPI_latest, + ComfyAPIAdapter_v0_0_2, + ComfyAPIAdapter_v0_0_1, +] + diff --git a/comfy_api_nodes/README.md b/comfy_api_nodes/README.md new file mode 100644 index 0000000000000000000000000000000000000000..f56d6c8606346dc4d6c8d688cc8ca4f52cb5c9cd --- /dev/null +++ b/comfy_api_nodes/README.md @@ -0,0 +1,65 @@ +# ComfyUI API Nodes + +## Introduction + +Below are a collection of nodes that work by calling external APIs. More information available in our [docs](https://docs.comfy.org/tutorials/api-nodes/overview). + +## Development + +While developing, you should be testing against the Staging environment. To test against staging: + +**Install ComfyUI_frontend** + +Follow the instructions [here](https://github.com/Comfy-Org/ComfyUI_frontend) to start the frontend server. By default, it will connect to Staging authentication. + +> **Hint:** If you use --front-end-version argument for ComfyUI, it will use production authentication. + +```bash +python run main.py --comfy-api-base https://stagingapi.comfy.org +``` + +To authenticate to staging, please login and then ask one of Comfy Org team to whitelist you for access to staging. + +API stubs are generated through automatic codegen tools from OpenAPI definitions. Since the Comfy Org OpenAPI definition contains many things from the Comfy Registry as well, we use redocly/cli to filter out only the paths relevant for API nodes. + +### Redocly Instructions + +**Tip** +When developing locally, use the `redocly-dev.yaml` file to generate pydantic models. This lets you use stubs for APIs that are not marked `Released` yet. + +Before your API node PR merges, make sure to add the `Released` tag to the `openapi.yaml` file and test in staging. + +```bash +# Download the OpenAPI file from staging server. +curl -o openapi.yaml https://stagingapi.comfy.org/openapi + +# Filter out unneeded API definitions. +npm install -g @redocly/cli +redocly bundle openapi.yaml --output filtered-openapi.yaml --config comfy_api_nodes/redocly-dev.yaml --remove-unused-components + +# Generate the pydantic datamodels for validation. +datamodel-codegen --use-subclass-enum --field-constraints --strict-types bytes --input filtered-openapi.yaml --output comfy_api_nodes/apis/__init__.py --output-model-type pydantic_v2.BaseModel + +``` + + +# Merging to Master + +Before merging to comfyanonymous/ComfyUI master, follow these steps: + +1. Add the "Released" tag to the ComfyUI OpenAPI yaml file for each endpoint you are using in the nodes. +1. Make sure the ComfyUI API is deployed to prod with your changes. +1. Run the code generation again with `redocly.yaml` and the production OpenAPI yaml file. + +```bash +# Download the OpenAPI file from prod server. +curl -o openapi.yaml https://api.comfy.org/openapi + +# Filter out unneeded API definitions. +npm install -g @redocly/cli +redocly bundle openapi.yaml --output filtered-openapi.yaml --config comfy_api_nodes/redocly.yaml --remove-unused-components + +# Generate the pydantic datamodels for validation. +datamodel-codegen --use-subclass-enum --field-constraints --strict-types bytes --input filtered-openapi.yaml --output comfy_api_nodes/apis/__init__.py --output-model-type pydantic_v2.BaseModel + +``` diff --git a/comfy_api_nodes/__init__.py b/comfy_api_nodes/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/comfy_api_nodes/apinode_utils.py b/comfy_api_nodes/apinode_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..37438f8358469925d7cfc83f7e6251b284321df0 --- /dev/null +++ b/comfy_api_nodes/apinode_utils.py @@ -0,0 +1,691 @@ +from __future__ import annotations +import aiohttp +import io +import logging +import mimetypes +from typing import Optional, Union +from comfy.utils import common_upscale +from comfy_api.input_impl import VideoFromFile +from comfy_api.util import VideoContainer, VideoCodec +from comfy_api.input.video_types import VideoInput +from comfy_api.input.basic_types import AudioInput +from comfy_api_nodes.apis.client import ( + ApiClient, + ApiEndpoint, + HttpMethod, + SynchronousOperation, + UploadRequest, + UploadResponse, +) +from server import PromptServer + + +import numpy as np +from PIL import Image +import torch +import math +import base64 +import uuid +from io import BytesIO +import av + + +async def download_url_to_video_output(video_url: str, timeout: int = None) -> VideoFromFile: + """Downloads a video from a URL and returns a `VIDEO` output. + + Args: + video_url: The URL of the video to download. + + Returns: + A Comfy node `VIDEO` output. + """ + video_io = await download_url_to_bytesio(video_url, timeout) + if video_io is None: + error_msg = f"Failed to download video from {video_url}" + logging.error(error_msg) + raise ValueError(error_msg) + return VideoFromFile(video_io) + + +def downscale_image_tensor(image, total_pixels=1536 * 1024) -> torch.Tensor: + """Downscale input image tensor to roughly the specified total pixels.""" + samples = image.movedim(-1, 1) + total = int(total_pixels) + scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2])) + if scale_by >= 1: + return image + width = round(samples.shape[3] * scale_by) + height = round(samples.shape[2] * scale_by) + + s = common_upscale(samples, width, height, "lanczos", "disabled") + s = s.movedim(1, -1) + return s + + +async def validate_and_cast_response( + response, timeout: int = None, node_id: Union[str, None] = None +) -> torch.Tensor: + """Validates and casts a response to a torch.Tensor. + + Args: + response: The response to validate and cast. + timeout: Request timeout in seconds. Defaults to None (no timeout). + + Returns: + A torch.Tensor representing the image (1, H, W, C). + + Raises: + ValueError: If the response is not valid. + """ + # validate raw JSON response + data = response.data + if not data or len(data) == 0: + raise ValueError("No images returned from API endpoint") + + # Initialize list to store image tensors + image_tensors: list[torch.Tensor] = [] + + # Process each image in the data array + async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=timeout)) as session: + for img_data in data: + img_bytes: bytes + if img_data.b64_json: + img_bytes = base64.b64decode(img_data.b64_json) + elif img_data.url: + if node_id: + PromptServer.instance.send_progress_text(f"Result URL: {img_data.url}", node_id) + async with session.get(img_data.url) as resp: + if resp.status != 200: + raise ValueError("Failed to download generated image") + img_bytes = await resp.read() + else: + raise ValueError("Invalid image payload – neither URL nor base64 data present.") + + pil_img = Image.open(BytesIO(img_bytes)).convert("RGBA") + arr = np.asarray(pil_img).astype(np.float32) / 255.0 + image_tensors.append(torch.from_numpy(arr)) + + return torch.stack(image_tensors, dim=0) + + +def validate_aspect_ratio( + aspect_ratio: str, + minimum_ratio: float, + maximum_ratio: float, + minimum_ratio_str: str, + maximum_ratio_str: str, +) -> float: + """Validates and casts an aspect ratio string to a float. + + Args: + aspect_ratio: The aspect ratio string to validate. + minimum_ratio: The minimum aspect ratio. + maximum_ratio: The maximum aspect ratio. + minimum_ratio_str: The minimum aspect ratio string. + maximum_ratio_str: The maximum aspect ratio string. + + Returns: + The validated and cast aspect ratio. + + Raises: + Exception: If the aspect ratio is not valid. + """ + # get ratio values + numbers = aspect_ratio.split(":") + if len(numbers) != 2: + raise TypeError( + f"Aspect ratio must be in the format X:Y, such as 16:9, but was {aspect_ratio}." + ) + try: + numerator = int(numbers[0]) + denominator = int(numbers[1]) + except ValueError as exc: + raise TypeError( + f"Aspect ratio must contain numbers separated by ':', such as 16:9, but was {aspect_ratio}." + ) from exc + calculated_ratio = numerator / denominator + # if not close to minimum and maximum, check bounds + if not math.isclose(calculated_ratio, minimum_ratio) or not math.isclose( + calculated_ratio, maximum_ratio + ): + if calculated_ratio < minimum_ratio: + raise TypeError( + f"Aspect ratio cannot reduce to any less than {minimum_ratio_str} ({minimum_ratio}), but was {aspect_ratio} ({calculated_ratio})." + ) + elif calculated_ratio > maximum_ratio: + raise TypeError( + f"Aspect ratio cannot reduce to any greater than {maximum_ratio_str} ({maximum_ratio}), but was {aspect_ratio} ({calculated_ratio})." + ) + return aspect_ratio + + +def mimetype_to_extension(mime_type: str) -> str: + """Converts a MIME type to a file extension.""" + return mime_type.split("/")[-1].lower() + + +async def download_url_to_bytesio(url: str, timeout: int = None) -> BytesIO: + """Downloads content from a URL using requests and returns it as BytesIO. + + Args: + url: The URL to download. + timeout: Request timeout in seconds. Defaults to None (no timeout). + + Returns: + BytesIO object containing the downloaded content. + """ + timeout_cfg = aiohttp.ClientTimeout(total=timeout) if timeout else None + async with aiohttp.ClientSession(timeout=timeout_cfg) as session: + async with session.get(url) as resp: + resp.raise_for_status() # Raises HTTPError for bad responses (4XX or 5XX) + return BytesIO(await resp.read()) + + +def bytesio_to_image_tensor(image_bytesio: BytesIO, mode: str = "RGBA") -> torch.Tensor: + """Converts image data from BytesIO to a torch.Tensor. + + Args: + image_bytesio: BytesIO object containing the image data. + mode: The PIL mode to convert the image to (e.g., "RGB", "RGBA"). + + Returns: + A torch.Tensor representing the image (1, H, W, C). + + Raises: + PIL.UnidentifiedImageError: If the image data cannot be identified. + ValueError: If the specified mode is invalid. + """ + image = Image.open(image_bytesio) + image = image.convert(mode) + image_array = np.array(image).astype(np.float32) / 255.0 + return torch.from_numpy(image_array).unsqueeze(0) + + +async def download_url_to_image_tensor(url: str, timeout: int = None) -> torch.Tensor: + """Downloads an image from a URL and returns a [B, H, W, C] tensor.""" + image_bytesio = await download_url_to_bytesio(url, timeout) + return bytesio_to_image_tensor(image_bytesio) + + +def process_image_response(response_content: bytes | str) -> torch.Tensor: + """Uses content from a Response object and converts it to a torch.Tensor""" + return bytesio_to_image_tensor(BytesIO(response_content)) + + +def _tensor_to_pil(image: torch.Tensor, total_pixels: int = 2048 * 2048) -> Image.Image: + """Converts a single torch.Tensor image [H, W, C] to a PIL Image, optionally downscaling.""" + if len(image.shape) > 3: + image = image[0] + # TODO: remove alpha if not allowed and present + input_tensor = image.cpu() + input_tensor = downscale_image_tensor( + input_tensor.unsqueeze(0), total_pixels=total_pixels + ).squeeze() + image_np = (input_tensor.numpy() * 255).astype(np.uint8) + img = Image.fromarray(image_np) + return img + + +def _pil_to_bytesio(img: Image.Image, mime_type: str = "image/png") -> BytesIO: + """Converts a PIL Image to a BytesIO object.""" + if not mime_type: + mime_type = "image/png" + + img_byte_arr = io.BytesIO() + # Derive PIL format from MIME type (e.g., 'image/png' -> 'PNG') + pil_format = mime_type.split("/")[-1].upper() + if pil_format == "JPG": + pil_format = "JPEG" + img.save(img_byte_arr, format=pil_format) + img_byte_arr.seek(0) + return img_byte_arr + + +def tensor_to_bytesio( + image: torch.Tensor, + name: Optional[str] = None, + total_pixels: int = 2048 * 2048, + mime_type: str = "image/png", +) -> BytesIO: + """Converts a torch.Tensor image to a named BytesIO object. + + Args: + image: Input torch.Tensor image. + name: Optional filename for the BytesIO object. + total_pixels: Maximum total pixels for potential downscaling. + mime_type: Target image MIME type (e.g., 'image/png', 'image/jpeg', 'image/webp', 'video/mp4'). + + Returns: + Named BytesIO object containing the image data. + """ + if not mime_type: + mime_type = "image/png" + + pil_image = _tensor_to_pil(image, total_pixels=total_pixels) + img_binary = _pil_to_bytesio(pil_image, mime_type=mime_type) + img_binary.name = ( + f"{name if name else uuid.uuid4()}.{mimetype_to_extension(mime_type)}" + ) + return img_binary + + +def tensor_to_base64_string( + image_tensor: torch.Tensor, + total_pixels: int = 2048 * 2048, + mime_type: str = "image/png", +) -> str: + """Convert [B, H, W, C] or [H, W, C] tensor to a base64 string. + + Args: + image_tensor: Input torch.Tensor image. + total_pixels: Maximum total pixels for potential downscaling. + mime_type: Target image MIME type (e.g., 'image/png', 'image/jpeg', 'image/webp', 'video/mp4'). + + Returns: + Base64 encoded string of the image. + """ + pil_image = _tensor_to_pil(image_tensor, total_pixels=total_pixels) + img_byte_arr = _pil_to_bytesio(pil_image, mime_type=mime_type) + img_bytes = img_byte_arr.getvalue() + # Encode bytes to base64 string + base64_encoded_string = base64.b64encode(img_bytes).decode("utf-8") + return base64_encoded_string + + +def tensor_to_data_uri( + image_tensor: torch.Tensor, + total_pixels: int = 2048 * 2048, + mime_type: str = "image/png", +) -> str: + """Converts a tensor image to a Data URI string. + + Args: + image_tensor: Input torch.Tensor image. + total_pixels: Maximum total pixels for potential downscaling. + mime_type: Target image MIME type (e.g., 'image/png', 'image/jpeg', 'image/webp'). + + Returns: + Data URI string (e.g., 'data:image/png;base64,...'). + """ + base64_string = tensor_to_base64_string(image_tensor, total_pixels, mime_type) + return f"data:{mime_type};base64,{base64_string}" + + +def text_filepath_to_base64_string(filepath: str) -> str: + """Converts a text file to a base64 string.""" + with open(filepath, "rb") as f: + file_content = f.read() + return base64.b64encode(file_content).decode("utf-8") + + +def text_filepath_to_data_uri(filepath: str) -> str: + """Converts a text file to a data URI.""" + base64_string = text_filepath_to_base64_string(filepath) + mime_type, _ = mimetypes.guess_type(filepath) + if mime_type is None: + mime_type = "application/octet-stream" + return f"data:{mime_type};base64,{base64_string}" + + +async def upload_file_to_comfyapi( + file_bytes_io: BytesIO, + filename: str, + upload_mime_type: Optional[str], + auth_kwargs: Optional[dict[str, str]] = None, +) -> str: + """ + Uploads a single file to ComfyUI API and returns its download URL. + + Args: + file_bytes_io: BytesIO object containing the file data. + filename: The filename of the file. + upload_mime_type: MIME type of the file. + auth_kwargs: Optional authentication token(s). + + Returns: + The download URL for the uploaded file. + """ + if upload_mime_type is None: + request_object = UploadRequest(file_name=filename) + else: + request_object = UploadRequest(file_name=filename, content_type=upload_mime_type) + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/customers/storage", + method=HttpMethod.POST, + request_model=UploadRequest, + response_model=UploadResponse, + ), + request=request_object, + auth_kwargs=auth_kwargs, + ) + + response: UploadResponse = await operation.execute() + await ApiClient.upload_file(response.upload_url, file_bytes_io, content_type=upload_mime_type) + return response.download_url + + +def video_to_base64_string( + video: VideoInput, + container_format: VideoContainer = None, + codec: VideoCodec = None +) -> str: + """ + Converts a video input to a base64 string. + + Args: + video: The video input to convert + container_format: Optional container format to use (defaults to video.container if available) + codec: Optional codec to use (defaults to video.codec if available) + """ + video_bytes_io = io.BytesIO() + + # Use provided format/codec if specified, otherwise use video's own if available + format_to_use = container_format if container_format is not None else getattr(video, 'container', VideoContainer.MP4) + codec_to_use = codec if codec is not None else getattr(video, 'codec', VideoCodec.H264) + + video.save_to(video_bytes_io, format=format_to_use, codec=codec_to_use) + video_bytes_io.seek(0) + return base64.b64encode(video_bytes_io.getvalue()).decode("utf-8") + + +async def upload_video_to_comfyapi( + video: VideoInput, + auth_kwargs: Optional[dict[str, str]] = None, + container: VideoContainer = VideoContainer.MP4, + codec: VideoCodec = VideoCodec.H264, + max_duration: Optional[int] = None, +) -> str: + """ + Uploads a single video to ComfyUI API and returns its download URL. + Uses the specified container and codec for saving the video before upload. + + Args: + video: VideoInput object (Comfy VIDEO type). + auth_kwargs: Optional authentication token(s). + container: The video container format to use (default: MP4). + codec: The video codec to use (default: H264). + max_duration: Optional maximum duration of the video in seconds. If the video is longer than this, an error will be raised. + + Returns: + The download URL for the uploaded video file. + """ + if max_duration is not None: + try: + actual_duration = video.duration_seconds + if actual_duration is not None and actual_duration > max_duration: + raise ValueError( + f"Video duration ({actual_duration:.2f}s) exceeds the maximum allowed ({max_duration}s)." + ) + except Exception as e: + logging.error(f"Error getting video duration: {e}") + raise ValueError(f"Could not verify video duration from source: {e}") from e + + upload_mime_type = f"video/{container.value.lower()}" + filename = f"uploaded_video.{container.value.lower()}" + + # Convert VideoInput to BytesIO using specified container/codec + video_bytes_io = io.BytesIO() + video.save_to(video_bytes_io, format=container, codec=codec) + video_bytes_io.seek(0) + + return await upload_file_to_comfyapi(video_bytes_io, filename, upload_mime_type, auth_kwargs) + + +def audio_tensor_to_contiguous_ndarray(waveform: torch.Tensor) -> np.ndarray: + """ + Prepares audio waveform for av library by converting to a contiguous numpy array. + + Args: + waveform: a tensor of shape (1, channels, samples) derived from a Comfy `AUDIO` type. + + Returns: + Contiguous numpy array of the audio waveform. If the audio was batched, + the first item is taken. + """ + if waveform.ndim != 3 or waveform.shape[0] != 1: + raise ValueError("Expected waveform tensor shape (1, channels, samples)") + + # If batch is > 1, take first item + if waveform.shape[0] > 1: + waveform = waveform[0] + + # Prepare for av: remove batch dim, move to CPU, make contiguous, convert to numpy array + audio_data_np = waveform.squeeze(0).cpu().contiguous().numpy() + if audio_data_np.dtype != np.float32: + audio_data_np = audio_data_np.astype(np.float32) + + return audio_data_np + + +def audio_ndarray_to_bytesio( + audio_data_np: np.ndarray, + sample_rate: int, + container_format: str = "mp4", + codec_name: str = "aac", +) -> BytesIO: + """ + Encodes a numpy array of audio data into a BytesIO object. + """ + audio_bytes_io = io.BytesIO() + with av.open(audio_bytes_io, mode="w", format=container_format) as output_container: + audio_stream = output_container.add_stream(codec_name, rate=sample_rate) + frame = av.AudioFrame.from_ndarray( + audio_data_np, + format="fltp", + layout="stereo" if audio_data_np.shape[0] > 1 else "mono", + ) + frame.sample_rate = sample_rate + frame.pts = 0 + + for packet in audio_stream.encode(frame): + output_container.mux(packet) + + # Flush stream + for packet in audio_stream.encode(None): + output_container.mux(packet) + + audio_bytes_io.seek(0) + return audio_bytes_io + + +async def upload_audio_to_comfyapi( + audio: AudioInput, + auth_kwargs: Optional[dict[str, str]] = None, + container_format: str = "mp4", + codec_name: str = "aac", + mime_type: str = "audio/mp4", + filename: str = "uploaded_audio.mp4", +) -> str: + """ + Uploads a single audio input to ComfyUI API and returns its download URL. + Encodes the raw waveform into the specified format before uploading. + + Args: + audio: a Comfy `AUDIO` type (contains waveform tensor and sample_rate) + auth_kwargs: Optional authentication token(s). + + Returns: + The download URL for the uploaded audio file. + """ + sample_rate: int = audio["sample_rate"] + waveform: torch.Tensor = audio["waveform"] + audio_data_np = audio_tensor_to_contiguous_ndarray(waveform) + audio_bytes_io = audio_ndarray_to_bytesio( + audio_data_np, sample_rate, container_format, codec_name + ) + + return await upload_file_to_comfyapi(audio_bytes_io, filename, mime_type, auth_kwargs) + + +def f32_pcm(wav: torch.Tensor) -> torch.Tensor: + """Convert audio to float 32 bits PCM format. Copy-paste from nodes_audio.py file.""" + if wav.dtype.is_floating_point: + return wav + elif wav.dtype == torch.int16: + return wav.float() / (2 ** 15) + elif wav.dtype == torch.int32: + return wav.float() / (2 ** 31) + raise ValueError(f"Unsupported wav dtype: {wav.dtype}") + + +def audio_bytes_to_audio_input(audio_bytes: bytes,) -> dict: + """ + Decode any common audio container from bytes using PyAV and return + a Comfy AUDIO dict: {"waveform": [1, C, T] float32, "sample_rate": int}. + """ + with av.open(io.BytesIO(audio_bytes)) as af: + if not af.streams.audio: + raise ValueError("No audio stream found in response.") + stream = af.streams.audio[0] + + in_sr = int(stream.codec_context.sample_rate) + out_sr = in_sr + + frames: list[torch.Tensor] = [] + n_channels = stream.channels or 1 + + for frame in af.decode(streams=stream.index): + arr = frame.to_ndarray() # shape can be [C, T] or [T, C] or [T] + buf = torch.from_numpy(arr) + if buf.ndim == 1: + buf = buf.unsqueeze(0) # [T] -> [1, T] + elif buf.shape[0] != n_channels and buf.shape[-1] == n_channels: + buf = buf.transpose(0, 1).contiguous() # [T, C] -> [C, T] + elif buf.shape[0] != n_channels: + buf = buf.reshape(-1, n_channels).t().contiguous() # fallback to [C, T] + frames.append(buf) + + if not frames: + raise ValueError("Decoded zero audio frames.") + + wav = torch.cat(frames, dim=1) # [C, T] + wav = f32_pcm(wav) + return {"waveform": wav.unsqueeze(0).contiguous(), "sample_rate": out_sr} + + +def audio_input_to_mp3(audio: AudioInput) -> io.BytesIO: + waveform = audio["waveform"].cpu() + + output_buffer = io.BytesIO() + output_container = av.open(output_buffer, mode='w', format="mp3") + + out_stream = output_container.add_stream("libmp3lame", rate=audio["sample_rate"]) + out_stream.bit_rate = 320000 + + frame = av.AudioFrame.from_ndarray(waveform.movedim(0, 1).reshape(1, -1).float().numpy(), format='flt', layout='mono' if waveform.shape[0] == 1 else 'stereo') + frame.sample_rate = audio["sample_rate"] + frame.pts = 0 + output_container.mux(out_stream.encode(frame)) + output_container.mux(out_stream.encode(None)) + output_container.close() + output_buffer.seek(0) + return output_buffer + + +def audio_to_base64_string( + audio: AudioInput, container_format: str = "mp4", codec_name: str = "aac" +) -> str: + """Converts an audio input to a base64 string.""" + sample_rate: int = audio["sample_rate"] + waveform: torch.Tensor = audio["waveform"] + audio_data_np = audio_tensor_to_contiguous_ndarray(waveform) + audio_bytes_io = audio_ndarray_to_bytesio( + audio_data_np, sample_rate, container_format, codec_name + ) + audio_bytes = audio_bytes_io.getvalue() + return base64.b64encode(audio_bytes).decode("utf-8") + + +async def upload_images_to_comfyapi( + image: torch.Tensor, + max_images=8, + auth_kwargs: Optional[dict[str, str]] = None, + mime_type: Optional[str] = None, +) -> list[str]: + """ + Uploads images to ComfyUI API and returns download URLs. + To upload multiple images, stack them in the batch dimension first. + + Args: + image: Input torch.Tensor image. + max_images: Maximum number of images to upload. + auth_kwargs: Optional authentication token(s). + mime_type: Optional MIME type for the image. + """ + # if batch, try to upload each file if max_images is greater than 0 + download_urls: list[str] = [] + is_batch = len(image.shape) > 3 + batch_len = image.shape[0] if is_batch else 1 + + for idx in range(min(batch_len, max_images)): + tensor = image[idx] if is_batch else image + img_io = tensor_to_bytesio(tensor, mime_type=mime_type) + url = await upload_file_to_comfyapi(img_io, img_io.name, mime_type, auth_kwargs) + download_urls.append(url) + return download_urls + + +def resize_mask_to_image( + mask: torch.Tensor, + image: torch.Tensor, + upscale_method="nearest-exact", + crop="disabled", + allow_gradient=True, + add_channel_dim=False, +): + """ + Resize mask to be the same dimensions as an image, while maintaining proper format for API calls. + """ + _, H, W, _ = image.shape + mask = mask.unsqueeze(-1) + mask = mask.movedim(-1, 1) + mask = common_upscale( + mask, width=W, height=H, upscale_method=upscale_method, crop=crop + ) + mask = mask.movedim(1, -1) + if not add_channel_dim: + mask = mask.squeeze(-1) + if not allow_gradient: + mask = (mask > 0.5).float() + return mask + + +def validate_string( + string: str, + strip_whitespace=True, + field_name="prompt", + min_length=None, + max_length=None, +): + if string is None: + raise Exception(f"Field '{field_name}' cannot be empty.") + if strip_whitespace: + string = string.strip() + if min_length and len(string) < min_length: + raise Exception( + f"Field '{field_name}' cannot be shorter than {min_length} characters; was {len(string)} characters long." + ) + if max_length and len(string) > max_length: + raise Exception( + f" Field '{field_name} cannot be longer than {max_length} characters; was {len(string)} characters long." + ) + + +def image_tensor_pair_to_batch( + image1: torch.Tensor, image2: torch.Tensor +) -> torch.Tensor: + """ + Converts a pair of image tensors to a batch tensor. + If the images are not the same size, the smaller image is resized to + match the larger image. + """ + if image1.shape[1:] != image2.shape[1:]: + image2 = common_upscale( + image2.movedim(-1, 1), + image1.shape[2], + image1.shape[1], + "bilinear", + "center", + ).movedim(1, -1) + return torch.cat((image1, image2), dim=0) diff --git a/comfy_api_nodes/apis/PixverseController.py b/comfy_api_nodes/apis/PixverseController.py new file mode 100644 index 0000000000000000000000000000000000000000..310c0f54655d72a76eb2abe2d843cc47e28bc37a --- /dev/null +++ b/comfy_api_nodes/apis/PixverseController.py @@ -0,0 +1,17 @@ +# generated by datamodel-codegen: +# filename: filtered-openapi.yaml +# timestamp: 2025-04-29T23:44:54+00:00 + +from __future__ import annotations + +from typing import Optional + +from pydantic import BaseModel + +from . import PixverseDto + + +class ResponseData(BaseModel): + ErrCode: Optional[int] = None + ErrMsg: Optional[str] = None + Resp: Optional[PixverseDto.V2OpenAPII2VResp] = None diff --git a/comfy_api_nodes/apis/PixverseDto.py b/comfy_api_nodes/apis/PixverseDto.py new file mode 100644 index 0000000000000000000000000000000000000000..323c38e963903e523431fac19f067b88d051e396 --- /dev/null +++ b/comfy_api_nodes/apis/PixverseDto.py @@ -0,0 +1,57 @@ +# generated by datamodel-codegen: +# filename: filtered-openapi.yaml +# timestamp: 2025-04-29T23:44:54+00:00 + +from __future__ import annotations + +from typing import Optional + +from pydantic import BaseModel, Field + + +class V2OpenAPII2VResp(BaseModel): + video_id: Optional[int] = Field(None, description='Video_id') + + +class V2OpenAPIT2VReq(BaseModel): + aspect_ratio: str = Field( + ..., description='Aspect ratio (16:9, 4:3, 1:1, 3:4, 9:16)', examples=['16:9'] + ) + duration: int = Field( + ..., + description='Video duration (5, 8 seconds, --model=v3.5 only allows 5,8; --quality=1080p does not support 8s)', + examples=[5], + ) + model: str = Field( + ..., description='Model version (only supports v3.5)', examples=['v3.5'] + ) + motion_mode: Optional[str] = Field( + 'normal', + description='Motion mode (normal, fast, --fast only available when duration=5; --quality=1080p does not support fast)', + examples=['normal'], + ) + negative_prompt: Optional[str] = Field( + None, description='Negative prompt\n', max_length=2048 + ) + prompt: str = Field(..., description='Prompt', max_length=2048) + quality: str = Field( + ..., + description='Video quality ("360p"(Turbo model), "540p", "720p", "1080p")', + examples=['540p'], + ) + seed: Optional[int] = Field(None, description='Random seed, range: 0 - 2147483647') + style: Optional[str] = Field( + None, + description='Style (effective when model=v3.5, "anime", "3d_animation", "clay", "comic", "cyberpunk") Do not include style parameter unless needed', + examples=['anime'], + ) + template_id: Optional[int] = Field( + None, + description='Template ID (template_id must be activated before use)', + examples=[302325299692608], + ) + water_mark: Optional[bool] = Field( + False, + description='Watermark (true: add watermark, false: no watermark)', + examples=[False], + ) diff --git a/comfy_api_nodes/apis/__init__.py b/comfy_api_nodes/apis/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..78a23db30c6e70c577e8e2d2393bed761d8c2b1b --- /dev/null +++ b/comfy_api_nodes/apis/__init__.py @@ -0,0 +1,6158 @@ +# generated by datamodel-codegen: +# filename: filtered-openapi.yaml +# timestamp: 2025-07-30T08:54:00+00:00 + +from __future__ import annotations + +from datetime import date, datetime +from enum import Enum +from typing import Any, Dict, List, Literal, Optional, Union +from uuid import UUID + +from pydantic import AnyUrl, BaseModel, ConfigDict, Field, RootModel, StrictBytes + + +class APIKey(BaseModel): + created_at: Optional[datetime] = None + description: Optional[str] = None + id: Optional[str] = None + key_prefix: Optional[str] = None + name: Optional[str] = None + + +class APIKeyWithPlaintext(APIKey): + plaintext_key: Optional[str] = Field( + None, description='The full API key (only returned at creation)' + ) + + +class AuditLog(BaseModel): + createdAt: Optional[datetime] = Field( + None, description='The date and time the event was created' + ) + event_id: Optional[str] = Field(None, description='the id of the event') + event_type: Optional[str] = Field(None, description='the type of the event') + params: Optional[Dict[str, Any]] = Field( + None, description='data related to the event' + ) + + +class BFLAsyncResponse(BaseModel): + id: str = Field(..., title='Id') + polling_url: str = Field(..., title='Polling Url') + + +class BFLAsyncWebhookResponse(BaseModel): + id: str = Field(..., title='Id') + status: str = Field(..., title='Status') + webhook_url: str = Field(..., title='Webhook Url') + + +class CannyHighThreshold(RootModel[int]): + root: int = Field( + ..., + description='High threshold for Canny edge detection', + ge=0, + le=500, + title='Canny High Threshold', + ) + + +class CannyLowThreshold(RootModel[int]): + root: int = Field( + ..., + description='Low threshold for Canny edge detection', + ge=0, + le=500, + title='Canny Low Threshold', + ) + + +class Guidance(RootModel[float]): + root: float = Field( + ..., + description='Guidance strength for the image generation process', + ge=1.0, + le=100.0, + title='Guidance', + ) + + +class Steps(RootModel[int]): + root: int = Field( + ..., + description='Number of steps for the image generation process', + ge=15, + le=50, + title='Steps', + ) + + +class WebhookUrl(RootModel[AnyUrl]): + root: AnyUrl = Field( + ..., description='URL to receive webhook notifications', title='Webhook Url' + ) + + +class BFLFluxKontextMaxGenerateRequest(BaseModel): + guidance: Optional[float] = Field( + 3, description='The guidance scale for generation', ge=1.0, le=20.0 + ) + input_image: str = Field(..., description='Base64 encoded image to be edited') + prompt: str = Field( + ..., description='The text prompt describing what to edit on the image' + ) + steps: Optional[int] = Field( + 50, description='Number of inference steps', ge=1, le=50 + ) + + +class BFLFluxKontextMaxGenerateResponse(BaseModel): + id: str = Field(..., description='Job ID for tracking') + polling_url: str = Field(..., description='URL to poll for results') + + +class BFLFluxKontextProGenerateRequest(BaseModel): + guidance: Optional[float] = Field( + 3, description='The guidance scale for generation', ge=1.0, le=20.0 + ) + input_image: str = Field(..., description='Base64 encoded image to be edited') + prompt: str = Field( + ..., description='The text prompt describing what to edit on the image' + ) + steps: Optional[int] = Field( + 50, description='Number of inference steps', ge=1, le=50 + ) + + +class BFLFluxKontextProGenerateResponse(BaseModel): + id: str = Field(..., description='Job ID for tracking') + polling_url: str = Field(..., description='URL to poll for results') + + +class OutputFormat(str, Enum): + jpeg = 'jpeg' + png = 'png' + + +class BFLFluxPro11GenerateRequest(BaseModel): + height: int = Field(..., description='Height of the generated image') + image_prompt: Optional[str] = Field(None, description='Optional image prompt') + output_format: Optional[OutputFormat] = Field( + None, description='Output image format' + ) + prompt: str = Field(..., description='The main text prompt for image generation') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to use prompt upsampling' + ) + safety_tolerance: Optional[int] = Field(None, description='Safety tolerance level') + seed: Optional[int] = Field(None, description='Random seed for reproducibility') + webhook_secret: Optional[str] = Field( + None, description='Optional webhook secret for async processing' + ) + webhook_url: Optional[str] = Field( + None, description='Optional webhook URL for async processing' + ) + width: int = Field(..., description='Width of the generated image') + + +class BFLFluxPro11GenerateResponse(BaseModel): + id: str = Field(..., description='Job ID for tracking') + polling_url: str = Field(..., description='URL to poll for results') + + +class Bottom(RootModel[int]): + root: int = Field( + ..., + description='Number of pixels to expand at the bottom of the image', + ge=0, + le=2048, + title='Bottom', + ) + + +class Guidance2(RootModel[float]): + root: float = Field( + ..., + description='Guidance strength for the image generation process', + ge=1.5, + le=100.0, + title='Guidance', + ) + + +class Left(RootModel[int]): + root: int = Field( + ..., + description='Number of pixels to expand on the left side of the image', + ge=0, + le=2048, + title='Left', + ) + + +class Right(RootModel[int]): + root: int = Field( + ..., + description='Number of pixels to expand on the right side of the image', + ge=0, + le=2048, + title='Right', + ) + + +class Steps2(RootModel[int]): + root: int = Field( + ..., + description='Number of steps for the image generation process', + examples=[50], + ge=15, + le=50, + title='Steps', + ) + + +class Top(RootModel[int]): + root: int = Field( + ..., + description='Number of pixels to expand at the top of the image', + ge=0, + le=2048, + title='Top', + ) + + +class BFLFluxProGenerateRequest(BaseModel): + guidance_scale: Optional[float] = Field( + None, description='The guidance scale for generation.', ge=1.0, le=20.0 + ) + height: int = Field( + ..., description='The height of the image to generate.', ge=64, le=2048 + ) + negative_prompt: Optional[str] = Field( + None, description='The negative prompt for image generation.' + ) + num_images: Optional[int] = Field( + None, description='The number of images to generate.', ge=1, le=4 + ) + num_inference_steps: Optional[int] = Field( + None, description='The number of inference steps.', ge=1, le=100 + ) + prompt: str = Field(..., description='The text prompt for image generation.') + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + width: int = Field( + ..., description='The width of the image to generate.', ge=64, le=2048 + ) + + +class BFLFluxProGenerateResponse(BaseModel): + id: str = Field(..., description='The unique identifier for the generation task.') + polling_url: str = Field(..., description='URL to poll for the generation result.') + + +class BFLOutputFormat(str, Enum): + jpeg = 'jpeg' + png = 'png' + + +class BFLValidationError(BaseModel): + loc: List[Union[str, int]] = Field(..., title='Location') + msg: str = Field(..., title='Message') + type: str = Field(..., title='Error Type') + + +class Status(str, Enum): + success = 'success' + not_found = 'not_found' + error = 'error' + + +class ClaimMyNodeRequest(BaseModel): + GH_TOKEN: str = Field( + ..., description='GitHub token to verify if the user owns the repo of the node' + ) + + +class ComfyNode(BaseModel): + category: Optional[str] = Field( + None, + description='UI category where the node is listed, used for grouping nodes.', + ) + comfy_node_name: Optional[str] = Field( + None, description='Unique identifier for the node' + ) + deprecated: Optional[bool] = Field( + None, + description='Indicates if the node is deprecated. Deprecated nodes are hidden in the UI.', + ) + description: Optional[str] = Field( + None, description="Brief description of the node's functionality or purpose." + ) + experimental: Optional[bool] = Field( + None, + description='Indicates if the node is experimental, subject to changes or removal.', + ) + function: Optional[str] = Field( + None, description='Name of the entry-point function to execute the node.' + ) + input_types: Optional[str] = Field(None, description='Defines input parameters') + output_is_list: Optional[List[bool]] = Field( + None, description='Boolean values indicating if each output is a list.' + ) + return_names: Optional[str] = Field( + None, description='Names of the outputs for clarity in workflows.' + ) + return_types: Optional[str] = Field( + None, description='Specifies the types of outputs produced by the node.' + ) + + +class ComfyNodeCloudBuildInfo(BaseModel): + build_id: Optional[str] = None + location: Optional[str] = None + project_id: Optional[str] = None + project_number: Optional[str] = None + + +class Status1(str, Enum): + in_progress = 'in_progress' + completed = 'completed' + incomplete = 'incomplete' + + +class Type(str, Enum): + computer_call = 'computer_call' + + +class ComputerToolCall(BaseModel): + action: Dict[str, Any] + call_id: str = Field( + ..., + description='An identifier used when responding to the tool call with output.\n', + ) + id: str = Field(..., description='The unique ID of the computer call.') + status: Status1 = Field( + ..., + description='The status of the item. One of `in_progress`, `completed`, or\n`incomplete`. Populated when items are returned via API.\n', + ) + type: Type = Field( + ..., description='The type of the computer call. Always `computer_call`.' + ) + + +class Environment(str, Enum): + windows = 'windows' + mac = 'mac' + linux = 'linux' + ubuntu = 'ubuntu' + browser = 'browser' + + +class Type1(str, Enum): + computer_use_preview = 'computer_use_preview' + + +class ComputerUsePreviewTool(BaseModel): + display_height: int = Field(..., description='The height of the computer display.') + display_width: int = Field(..., description='The width of the computer display.') + environment: Environment = Field( + ..., description='The type of computer environment to control.' + ) + type: Literal['ComputerUsePreviewTool'] = Field( + ..., + description='The type of the computer use tool. Always `computer_use_preview`.', + ) + + +class CreateAPIKeyRequest(BaseModel): + description: Optional[str] = None + name: str + + +class Customer(BaseModel): + createdAt: Optional[datetime] = Field( + None, description='The date and time the user was created' + ) + email: Optional[str] = Field(None, description='The email address for this user') + has_fund: Optional[bool] = Field(None, description='Whether the user has funds') + id: str = Field(..., description='The firebase UID of the user') + is_admin: Optional[bool] = Field(None, description='Whether the user is an admin') + metronome_id: Optional[str] = Field(None, description='The Metronome customer ID') + name: Optional[str] = Field(None, description='The name for this user') + stripe_id: Optional[str] = Field(None, description='The Stripe customer ID') + updatedAt: Optional[datetime] = Field( + None, description='The date and time the user was last updated' + ) + + +class CustomerStorageResourceResponse(BaseModel): + download_url: Optional[str] = Field( + None, + description='The signed URL to use for downloading the file from the specified path', + ) + existing_file: Optional[bool] = Field( + None, description='Whether an existing file with the same hash was found' + ) + expires_at: Optional[datetime] = Field( + None, description='When the signed URL will expire' + ) + upload_url: Optional[str] = Field( + None, + description='The signed URL to use for uploading the file to the specified path', + ) + + +class Role(str, Enum): + user = 'user' + assistant = 'assistant' + system = 'system' + developer = 'developer' + + +class Type2(str, Enum): + message = 'message' + + +class Error(BaseModel): + details: Optional[List[str]] = Field( + None, + description='Optional detailed information about the error or hints for resolving it.', + ) + message: Optional[str] = Field( + None, description='A clear and concise description of the error.' + ) + + +class ErrorResponse(BaseModel): + error: str + message: str + + +class Type3(str, Enum): + file_search = 'file_search' + + +class FileSearchTool(BaseModel): + type: Literal['FileSearchTool'] = Field(..., description='The type of tool') + vector_store_ids: List[str] = Field( + ..., description='IDs of vector stores to search in' + ) + + +class Result(BaseModel): + file_id: Optional[str] = Field(None, description='The unique ID of the file.\n') + filename: Optional[str] = Field(None, description='The name of the file.\n') + score: Optional[float] = Field( + None, description='The relevance score of the file - a value between 0 and 1.\n' + ) + text: Optional[str] = Field( + None, description='The text that was retrieved from the file.\n' + ) + + +class Status2(str, Enum): + in_progress = 'in_progress' + searching = 'searching' + completed = 'completed' + incomplete = 'incomplete' + failed = 'failed' + + +class Type4(str, Enum): + file_search_call = 'file_search_call' + + +class FileSearchToolCall(BaseModel): + id: str = Field(..., description='The unique ID of the file search tool call.\n') + queries: List[str] = Field( + ..., description='The queries used to search for files.\n' + ) + results: Optional[List[Result]] = Field( + None, description='The results of the file search tool call.\n' + ) + status: Status2 = Field( + ..., + description='The status of the file search tool call. One of `in_progress`, \n`searching`, `incomplete` or `failed`,\n', + ) + type: Type4 = Field( + ..., + description='The type of the file search tool call. Always `file_search_call`.\n', + ) + + +class Type5(str, Enum): + function = 'function' + + +class FunctionTool(BaseModel): + description: Optional[str] = Field( + None, description='Description of what the function does' + ) + name: str = Field(..., description='Name of the function') + parameters: Dict[str, Any] = Field( + ..., description='JSON Schema object describing the function parameters' + ) + type: Literal['FunctionTool'] = Field(..., description='The type of tool') + + +class Status3(str, Enum): + in_progress = 'in_progress' + completed = 'completed' + incomplete = 'incomplete' + + +class Type6(str, Enum): + function_call = 'function_call' + + +class FunctionToolCall(BaseModel): + arguments: str = Field( + ..., description='A JSON string of the arguments to pass to the function.\n' + ) + call_id: str = Field( + ..., + description='The unique ID of the function tool call generated by the model.\n', + ) + id: Optional[str] = Field( + None, description='The unique ID of the function tool call.\n' + ) + name: str = Field(..., description='The name of the function to run.\n') + status: Optional[Status3] = Field( + None, + description='The status of the item. One of `in_progress`, `completed`, or\n`incomplete`. Populated when items are returned via API.\n', + ) + type: Type6 = Field( + ..., description='The type of the function tool call. Always `function_call`.\n' + ) + + +class GeminiCitation(BaseModel): + authors: Optional[List[str]] = None + endIndex: Optional[int] = None + license: Optional[str] = None + publicationDate: Optional[date] = None + startIndex: Optional[int] = None + title: Optional[str] = None + uri: Optional[str] = None + + +class GeminiCitationMetadata(BaseModel): + citations: Optional[List[GeminiCitation]] = None + + +class Role1(str, Enum): + user = 'user' + model = 'model' + + +class GeminiFunctionDeclaration(BaseModel): + description: Optional[str] = None + name: str + parameters: Dict[str, Any] = Field( + ..., description='JSON schema for the function parameters' + ) + + +class GeminiGenerationConfig(BaseModel): + maxOutputTokens: Optional[int] = Field( + None, + description='Maximum number of tokens that can be generated in the response. A token is approximately 4 characters. 100 tokens correspond to roughly 60-80 words.\n', + examples=[2048], + ge=16, + le=8192, + ) + seed: Optional[int] = Field( + None, + description="When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Available for the following models:, gemini-2.5-flash-preview-04-1, gemini-2.5-pro-preview-05-0, gemini-2.0-flash-lite-00, gemini-2.0-flash-001\n", + examples=[343940597], + ) + stopSequences: Optional[List[str]] = None + temperature: Optional[float] = Field( + 1, + description="The temperature is used for sampling during response generation, which occurs when topP and topK are applied. Temperature controls the degree of randomness in token selection. Lower temperatures are good for prompts that require a less open-ended or creative response, while higher temperatures can lead to more diverse or creative results. A temperature of 0 means that the highest probability tokens are always selected. In this case, responses for a given prompt are mostly deterministic, but a small amount of variation is still possible. If the model returns a response that's too generic, too short, or the model gives a fallback response, try increasing the temperature\n", + ge=0.0, + le=2.0, + ) + topK: Optional[int] = Field( + 40, + description="Top-K changes how the model selects tokens for output. A top-K of 1 means the next selected token is the most probable among all tokens in the model's vocabulary. A top-K of 3 means that the next token is selected from among the 3 most probable tokens by using temperature.\n", + examples=[40], + ge=1, + ) + topP: Optional[float] = Field( + 0.95, + description='If specified, nucleus sampling is used.\nTop-P changes how the model selects tokens for output. Tokens are selected from the most (see top-K) to least probable until the sum of their probabilities equals the top-P value. For example, if tokens A, B, and C have a probability of 0.3, 0.2, and 0.1 and the top-P value is 0.5, then the model will select either A or B as the next token by using temperature and excludes C as a candidate.\nSpecify a lower value for less random responses and a higher value for more random responses.\n', + ge=0.0, + le=1.0, + ) + + +class GeminiMimeType(str, Enum): + application_pdf = 'application/pdf' + audio_mpeg = 'audio/mpeg' + audio_mp3 = 'audio/mp3' + audio_wav = 'audio/wav' + image_png = 'image/png' + image_jpeg = 'image/jpeg' + image_webp = 'image/webp' + text_plain = 'text/plain' + video_mov = 'video/mov' + video_mpeg = 'video/mpeg' + video_mp4 = 'video/mp4' + video_mpg = 'video/mpg' + video_avi = 'video/avi' + video_wmv = 'video/wmv' + video_mpegps = 'video/mpegps' + video_flv = 'video/flv' + + +class GeminiOffset(BaseModel): + nanos: Optional[int] = Field( + None, + description='Signed fractions of a second at nanosecond resolution. Negative second values with fractions must still have non-negative nanos values.\n', + examples=[0], + ge=0, + le=999999999, + ) + seconds: Optional[int] = Field( + None, + description='Signed seconds of the span of time. Must be from -315,576,000,000 to +315,576,000,000 inclusive.\n', + examples=[60], + ge=-315576000000, + le=315576000000, + ) + + +class GeminiSafetyCategory(str, Enum): + HARM_CATEGORY_SEXUALLY_EXPLICIT = 'HARM_CATEGORY_SEXUALLY_EXPLICIT' + HARM_CATEGORY_HATE_SPEECH = 'HARM_CATEGORY_HATE_SPEECH' + HARM_CATEGORY_HARASSMENT = 'HARM_CATEGORY_HARASSMENT' + HARM_CATEGORY_DANGEROUS_CONTENT = 'HARM_CATEGORY_DANGEROUS_CONTENT' + + +class Probability(str, Enum): + NEGLIGIBLE = 'NEGLIGIBLE' + LOW = 'LOW' + MEDIUM = 'MEDIUM' + HIGH = 'HIGH' + UNKNOWN = 'UNKNOWN' + + +class GeminiSafetyRating(BaseModel): + category: Optional[GeminiSafetyCategory] = None + probability: Optional[Probability] = Field( + None, + description='The probability that the content violates the specified safety category', + ) + + +class GeminiSafetyThreshold(str, Enum): + OFF = 'OFF' + BLOCK_NONE = 'BLOCK_NONE' + BLOCK_LOW_AND_ABOVE = 'BLOCK_LOW_AND_ABOVE' + BLOCK_MEDIUM_AND_ABOVE = 'BLOCK_MEDIUM_AND_ABOVE' + BLOCK_ONLY_HIGH = 'BLOCK_ONLY_HIGH' + + +class GeminiTextPart(BaseModel): + text: Optional[str] = Field( + None, + description='A text prompt or code snippet.', + examples=['Answer as concisely as possible'], + ) + + +class GeminiTool(BaseModel): + functionDeclarations: Optional[List[GeminiFunctionDeclaration]] = None + + +class GeminiVideoMetadata(BaseModel): + endOffset: Optional[GeminiOffset] = None + startOffset: Optional[GeminiOffset] = None + + +class GitCommitSummary(BaseModel): + author: Optional[str] = Field(None, description='The author of the commit') + branch_name: Optional[str] = Field( + None, description='The branch where the commit was made' + ) + commit_hash: Optional[str] = Field(None, description='The hash of the commit') + commit_name: Optional[str] = Field(None, description='The name of the commit') + status_summary: Optional[Dict[str, str]] = Field( + None, description='A map of operating system to status pairs' + ) + timestamp: Optional[datetime] = Field( + None, description='The timestamp when the commit was made' + ) + + +class GithubEnterprise(BaseModel): + avatar_url: str = Field(..., description='URL to the enterprise avatar') + created_at: datetime = Field(..., description='When the enterprise was created') + description: Optional[str] = Field(None, description='The enterprise description') + html_url: str = Field(..., description='The HTML URL of the enterprise') + id: int = Field(..., description='The enterprise ID') + name: str = Field(..., description='The enterprise name') + node_id: str = Field(..., description='The enterprise node ID') + slug: str = Field(..., description='The enterprise slug') + updated_at: datetime = Field( + ..., description='When the enterprise was last updated' + ) + website_url: Optional[str] = Field(None, description='The enterprise website URL') + + +class RepositorySelection(str, Enum): + selected = 'selected' + all = 'all' + + +class GithubOrganization(BaseModel): + avatar_url: str = Field(..., description="URL to the organization's avatar") + description: Optional[str] = Field(None, description='The organization description') + events_url: str = Field(..., description="The API URL of the organization's events") + hooks_url: str = Field(..., description="The API URL of the organization's hooks") + id: int = Field(..., description='The organization ID') + issues_url: str = Field(..., description="The API URL of the organization's issues") + login: str = Field(..., description="The organization's login name") + members_url: str = Field( + ..., description="The API URL of the organization's members" + ) + node_id: str = Field(..., description='The organization node ID') + public_members_url: str = Field( + ..., description="The API URL of the organization's public members" + ) + repos_url: str = Field( + ..., description="The API URL of the organization's repositories" + ) + url: str = Field(..., description='The API URL of the organization') + + +class State(str, Enum): + uploaded = 'uploaded' + open = 'open' + + +class Action(str, Enum): + published = 'published' + unpublished = 'unpublished' + created = 'created' + edited = 'edited' + deleted = 'deleted' + prereleased = 'prereleased' + released = 'released' + + +class Type7(str, Enum): + Bot = 'Bot' + User = 'User' + Organization = 'Organization' + + +class GithubUser(BaseModel): + avatar_url: str = Field(..., description="URL to the user's avatar") + gravatar_id: Optional[str] = Field(None, description="The user's gravatar ID") + html_url: str = Field(..., description='The HTML URL of the user') + id: int = Field(..., description="The user's ID") + login: str = Field(..., description="The user's login name") + node_id: str = Field(..., description="The user's node ID") + site_admin: bool = Field(..., description='Whether the user is a site admin') + type: Type7 = Field(..., description='The type of user') + url: str = Field(..., description='The API URL of the user') + + +class IdeogramColorPalette1(BaseModel): + name: str = Field(..., description='Name of the preset color palette') + + +class Member(BaseModel): + color: Optional[str] = Field( + None, description='Hexadecimal color code', pattern='^#[0-9A-Fa-f]{6}$' + ) + weight: Optional[float] = Field( + None, description='Optional weight for the color (0-1)', ge=0.0, le=1.0 + ) + + +class IdeogramColorPalette2(BaseModel): + members: List[Member] = Field( + ..., description='Array of color definitions with optional weights' + ) + + +class IdeogramColorPalette( + RootModel[Union[IdeogramColorPalette1, IdeogramColorPalette2]] +): + root: Union[IdeogramColorPalette1, IdeogramColorPalette2] = Field( + ..., + description='A color palette specification that can either use a preset name or explicit color definitions with weights', + ) + + +class ImageRequest(BaseModel): + aspect_ratio: Optional[str] = Field( + None, + description="Optional. The aspect ratio (e.g., 'ASPECT_16_9', 'ASPECT_1_1'). Cannot be used with resolution. Defaults to 'ASPECT_1_1' if unspecified.", + ) + color_palette: Optional[Dict[str, Any]] = Field( + None, description='Optional. Color palette object. Only for V_2, V_2_TURBO.' + ) + magic_prompt_option: Optional[str] = Field( + None, description="Optional. MagicPrompt usage ('AUTO', 'ON', 'OFF')." + ) + model: str = Field(..., description="The model used (e.g., 'V_2', 'V_2A_TURBO')") + negative_prompt: Optional[str] = Field( + None, + description='Optional. Description of what to exclude. Only for V_1, V_1_TURBO, V_2, V_2_TURBO.', + ) + num_images: Optional[int] = Field( + 1, + description='Optional. Number of images to generate (1-8). Defaults to 1.', + ge=1, + le=8, + ) + prompt: str = Field( + ..., description='Required. The prompt to use to generate the image.' + ) + resolution: Optional[str] = Field( + None, + description="Optional. Resolution (e.g., 'RESOLUTION_1024_1024'). Only for model V_2. Cannot be used with aspect_ratio.", + ) + seed: Optional[int] = Field( + None, + description='Optional. A number between 0 and 2147483647.', + ge=0, + le=2147483647, + ) + style_type: Optional[str] = Field( + None, + description="Optional. Style type ('AUTO', 'GENERAL', 'REALISTIC', 'DESIGN', 'RENDER_3D', 'ANIME'). Only for models V_2 and above.", + ) + + +class IdeogramGenerateRequest(BaseModel): + image_request: ImageRequest = Field( + ..., description='The image generation request parameters.' + ) + + +class Datum(BaseModel): + is_image_safe: Optional[bool] = Field( + None, description='Indicates whether the image is considered safe.' + ) + prompt: Optional[str] = Field( + None, description='The prompt used to generate this image.' + ) + resolution: Optional[str] = Field( + None, description="The resolution of the generated image (e.g., '1024x1024')." + ) + seed: Optional[int] = Field( + None, description='The seed value used for this generation.' + ) + style_type: Optional[str] = Field( + None, + description="The style type used for generation (e.g., 'REALISTIC', 'ANIME').", + ) + url: Optional[str] = Field(None, description='URL to the generated image.') + + +class IdeogramGenerateResponse(BaseModel): + created: Optional[datetime] = Field( + None, description='Timestamp when the generation was created.' + ) + data: Optional[List[Datum]] = Field( + None, description='Array of generated image information.' + ) + + +class StyleCode(RootModel[str]): + root: str = Field(..., pattern='^[0-9A-Fa-f]{8}$') + + +class Datum1(BaseModel): + is_image_safe: Optional[bool] = None + prompt: Optional[str] = None + resolution: Optional[str] = None + seed: Optional[int] = None + style_type: Optional[str] = None + url: Optional[str] = None + + +class IdeogramV3IdeogramResponse(BaseModel): + created: Optional[datetime] = None + data: Optional[List[Datum1]] = None + + +class RenderingSpeed1(str, Enum): + TURBO = 'TURBO' + DEFAULT = 'DEFAULT' + QUALITY = 'QUALITY' + + +class IdeogramV3ReframeRequest(BaseModel): + color_palette: Optional[Dict[str, Any]] = None + image: Optional[StrictBytes] = None + num_images: Optional[int] = Field(None, ge=1, le=8) + rendering_speed: Optional[RenderingSpeed1] = None + resolution: str + seed: Optional[int] = Field(None, ge=0, le=2147483647) + style_codes: Optional[List[str]] = None + style_reference_images: Optional[List[StrictBytes]] = None + + +class MagicPrompt(str, Enum): + AUTO = 'AUTO' + ON = 'ON' + OFF = 'OFF' + + +class StyleType(str, Enum): + AUTO = 'AUTO' + GENERAL = 'GENERAL' + REALISTIC = 'REALISTIC' + DESIGN = 'DESIGN' + + +class IdeogramV3RemixRequest(BaseModel): + aspect_ratio: Optional[str] = None + color_palette: Optional[Dict[str, Any]] = None + image: Optional[StrictBytes] = None + image_weight: Optional[int] = Field(50, ge=1, le=100) + magic_prompt: Optional[MagicPrompt] = None + negative_prompt: Optional[str] = None + num_images: Optional[int] = Field(None, ge=1, le=8) + prompt: str + rendering_speed: Optional[RenderingSpeed1] = None + resolution: Optional[str] = None + seed: Optional[int] = Field(None, ge=0, le=2147483647) + style_codes: Optional[List[str]] = None + style_reference_images: Optional[List[StrictBytes]] = None + style_type: Optional[StyleType] = None + + +class IdeogramV3ReplaceBackgroundRequest(BaseModel): + color_palette: Optional[Dict[str, Any]] = None + image: Optional[StrictBytes] = None + magic_prompt: Optional[MagicPrompt] = None + num_images: Optional[int] = Field(None, ge=1, le=8) + prompt: str + rendering_speed: Optional[RenderingSpeed1] = None + seed: Optional[int] = Field(None, ge=0, le=2147483647) + style_codes: Optional[List[str]] = None + style_reference_images: Optional[List[StrictBytes]] = None + + +class ColorPalette(BaseModel): + name: str = Field(..., description='Name of the color palette', examples=['PASTEL']) + + +class MagicPrompt2(str, Enum): + ON = 'ON' + OFF = 'OFF' + + +class StyleType1(str, Enum): + AUTO = 'AUTO' + GENERAL = 'GENERAL' + REALISTIC = 'REALISTIC' + DESIGN = 'DESIGN' + FICTION = 'FICTION' + + +class ImagenImageGenerationInstance(BaseModel): + prompt: str = Field(..., description='Text prompt for image generation') + + +class AspectRatio(str, Enum): + field_1_1 = '1:1' + field_9_16 = '9:16' + field_16_9 = '16:9' + field_3_4 = '3:4' + field_4_3 = '4:3' + + +class PersonGeneration(str, Enum): + dont_allow = 'dont_allow' + allow_adult = 'allow_adult' + allow_all = 'allow_all' + + +class SafetySetting(str, Enum): + block_most = 'block_most' + block_some = 'block_some' + block_few = 'block_few' + block_fewest = 'block_fewest' + + +class ImagenImagePrediction(BaseModel): + bytesBase64Encoded: Optional[str] = Field( + None, description='Base64-encoded image content' + ) + mimeType: Optional[str] = Field( + None, description='MIME type of the generated image' + ) + prompt: Optional[str] = Field( + None, description='Enhanced or rewritten prompt used to generate this image' + ) + + +class MimeType(str, Enum): + image_png = 'image/png' + image_jpeg = 'image/jpeg' + + +class ImagenOutputOptions(BaseModel): + compressionQuality: Optional[int] = Field(None, ge=0, le=100) + mimeType: Optional[MimeType] = None + + +class Includable(str, Enum): + file_search_call_results = 'file_search_call.results' + message_input_image_image_url = 'message.input_image.image_url' + computer_call_output_output_image_url = 'computer_call_output.output.image_url' + + +class Type8(str, Enum): + input_file = 'input_file' + + +class InputFileContent(BaseModel): + file_data: Optional[str] = Field( + None, description='The content of the file to be sent to the model.\n' + ) + file_id: Optional[str] = Field( + None, description='The ID of the file to be sent to the model.' + ) + filename: Optional[str] = Field( + None, description='The name of the file to be sent to the model.' + ) + type: Type8 = Field( + ..., description='The type of the input item. Always `input_file`.' + ) + + +class Detail(str, Enum): + low = 'low' + high = 'high' + auto = 'auto' + + +class Type9(str, Enum): + input_image = 'input_image' + + +class InputImageContent(BaseModel): + detail: Detail = Field( + ..., + description='The detail level of the image to be sent to the model. One of `high`, `low`, or `auto`. Defaults to `auto`.', + ) + file_id: Optional[str] = Field( + None, description='The ID of the file to be sent to the model.' + ) + image_url: Optional[str] = Field( + None, + description='The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.', + ) + type: Type9 = Field( + ..., description='The type of the input item. Always `input_image`.' + ) + + +class Role3(str, Enum): + user = 'user' + system = 'system' + developer = 'developer' + + +class Type10(str, Enum): + message = 'message' + + +class Type11(str, Enum): + input_text = 'input_text' + + +class InputTextContent(BaseModel): + text: str = Field(..., description='The text input to the model.') + type: Type11 = Field( + ..., description='The type of the input item. Always `input_text`.' + ) + + +class KlingAudioUploadType(str, Enum): + file = 'file' + url = 'url' + + +class KlingCameraConfig(BaseModel): + horizontal: Optional[float] = Field( + None, + description="Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right.", + ge=-10.0, + le=10.0, + ) + pan: Optional[float] = Field( + None, + description="Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation.", + ge=-10.0, + le=10.0, + ) + roll: Optional[float] = Field( + None, + description="Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise.", + ge=-10.0, + le=10.0, + ) + tilt: Optional[float] = Field( + None, + description="Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation.", + ge=-10.0, + le=10.0, + ) + vertical: Optional[float] = Field( + None, + description="Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward.", + ge=-10.0, + le=10.0, + ) + zoom: Optional[float] = Field( + None, + description="Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view.", + ge=-10.0, + le=10.0, + ) + + +class KlingCameraControlType(str, Enum): + simple = 'simple' + down_back = 'down_back' + forward_up = 'forward_up' + right_turn_forward = 'right_turn_forward' + left_turn_forward = 'left_turn_forward' + + +class KlingCharacterEffectModelName(str, Enum): + kling_v1 = 'kling-v1' + kling_v1_5 = 'kling-v1-5' + kling_v1_6 = 'kling-v1-6' + + +class KlingDualCharacterEffectsScene(str, Enum): + hug = 'hug' + kiss = 'kiss' + heart_gesture = 'heart_gesture' + + +class KlingDualCharacterImages(RootModel[List[str]]): + root: List[str] = Field(..., max_length=2, min_length=2) + + +class KlingErrorResponse(BaseModel): + code: int = Field( + ..., + description='- 1000: Authentication failed\n- 1001: Authorization is empty\n- 1002: Authorization is invalid\n- 1003: Authorization is not yet valid\n- 1004: Authorization has expired\n- 1100: Account exception\n- 1101: Account in arrears (postpaid scenario)\n- 1102: Resource pack depleted or expired (prepaid scenario)\n- 1103: Unauthorized access to requested resource\n- 1200: Invalid request parameters\n- 1201: Invalid parameters\n- 1202: Invalid request method\n- 1203: Requested resource does not exist\n- 1300: Trigger platform strategy\n- 1301: Trigger content security policy\n- 1302: API request too frequent\n- 1303: Concurrency/QPS exceeds limit\n- 1304: Trigger IP whitelist policy\n- 5000: Internal server error\n- 5001: Service temporarily unavailable\n- 5002: Server internal timeout\n', + ) + message: str = Field(..., description='Human-readable error message') + request_id: str = Field( + ..., description='Request ID for tracking and troubleshooting' + ) + + +class Trajectory(BaseModel): + x: Optional[int] = Field( + None, + description='The horizontal coordinate of trajectory point. Based on bottom-left corner of image as origin (0,0).', + ) + y: Optional[int] = Field( + None, + description='The vertical coordinate of trajectory point. Based on bottom-left corner of image as origin (0,0).', + ) + + +class DynamicMask(BaseModel): + mask: Optional[AnyUrl] = Field( + None, + description='Dynamic Brush Application Area (Mask image created by users using the motion brush). The aspect ratio must match the input image.', + ) + trajectories: Optional[List[Trajectory]] = None + + +class TaskInfo(BaseModel): + external_task_id: Optional[str] = None + + +class KlingImageGenAspectRatio(str, Enum): + field_16_9 = '16:9' + field_9_16 = '9:16' + field_1_1 = '1:1' + field_4_3 = '4:3' + field_3_4 = '3:4' + field_3_2 = '3:2' + field_2_3 = '2:3' + field_21_9 = '21:9' + + +class KlingImageGenImageReferenceType(str, Enum): + subject = 'subject' + face = 'face' + + +class KlingImageGenModelName(str, Enum): + kling_v1 = 'kling-v1' + kling_v1_5 = 'kling-v1-5' + kling_v2 = 'kling-v2' + + +class KlingImageGenerationsRequest(BaseModel): + aspect_ratio: Optional[KlingImageGenAspectRatio] = '16:9' + callback_url: Optional[AnyUrl] = Field( + None, description='The callback notification address' + ) + human_fidelity: Optional[float] = Field( + 0.45, description='Subject reference similarity', ge=0.0, le=1.0 + ) + image: Optional[str] = Field( + None, description='Reference Image - Base64 encoded string or image URL' + ) + image_fidelity: Optional[float] = Field( + 0.5, description='Reference intensity for user-uploaded images', ge=0.0, le=1.0 + ) + image_reference: Optional[KlingImageGenImageReferenceType] = None + model_name: Optional[KlingImageGenModelName] = 'kling-v1' + n: Optional[int] = Field(1, description='Number of generated images', ge=1, le=9) + negative_prompt: Optional[str] = Field( + None, description='Negative text prompt', max_length=200 + ) + prompt: str = Field(..., description='Positive text prompt', max_length=500) + + +class KlingImageResult(BaseModel): + index: Optional[int] = Field(None, description='Image Number (0-9)') + url: Optional[AnyUrl] = Field(None, description='URL for generated image') + + +class KlingLipSyncMode(str, Enum): + text2video = 'text2video' + audio2video = 'audio2video' + + +class KlingLipSyncVoiceLanguage(str, Enum): + zh = 'zh' + en = 'en' + + +class ResourcePackType(str, Enum): + decreasing_total = 'decreasing_total' + constant_period = 'constant_period' + + +class Status5(str, Enum): + toBeOnline = 'toBeOnline' + online = 'online' + expired = 'expired' + runOut = 'runOut' + + +class ResourcePackSubscribeInfo(BaseModel): + effective_time: Optional[int] = Field( + None, description='Effective time, Unix timestamp in ms' + ) + invalid_time: Optional[int] = Field( + None, description='Expiration time, Unix timestamp in ms' + ) + purchase_time: Optional[int] = Field( + None, description='Purchase time, Unix timestamp in ms' + ) + remaining_quantity: Optional[float] = Field( + None, description='Remaining quantity (updated with a 12-hour delay)' + ) + resource_pack_id: Optional[str] = Field(None, description='Resource package ID') + resource_pack_name: Optional[str] = Field(None, description='Resource package name') + resource_pack_type: Optional[ResourcePackType] = Field( + None, + description='Resource package type (decreasing_total=decreasing total, constant_period=constant periodicity)', + ) + status: Optional[Status5] = Field(None, description='Resource Package Status') + total_quantity: Optional[float] = Field(None, description='Total quantity') + + +class Data3(BaseModel): + code: Optional[int] = Field(None, description='Error code; 0 indicates success') + msg: Optional[str] = Field(None, description='Error information') + resource_pack_subscribe_infos: Optional[List[ResourcePackSubscribeInfo]] = Field( + None, description='Resource package list' + ) + + +class KlingResourcePackageResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code; 0 indicates success') + data: Optional[Data3] = None + message: Optional[str] = Field(None, description='Error information') + request_id: Optional[str] = Field( + None, + description='Request ID, generated by the system, used to track requests and troubleshoot problems', + ) + + +class KlingSingleImageEffectDuration(str, Enum): + field_5 = '5' + + +class KlingSingleImageEffectModelName(str, Enum): + kling_v1_6 = 'kling-v1-6' + + +class KlingSingleImageEffectsScene(str, Enum): + bloombloom = 'bloombloom' + dizzydizzy = 'dizzydizzy' + fuzzyfuzzy = 'fuzzyfuzzy' + squish = 'squish' + expansion = 'expansion' + + +class KlingTaskStatus(str, Enum): + submitted = 'submitted' + processing = 'processing' + succeed = 'succeed' + failed = 'failed' + + +class KlingTextToVideoModelName(str, Enum): + kling_v1 = 'kling-v1' + kling_v1_6 = 'kling-v1-6' + kling_v2_1_master = 'kling-v2-1-master' + + +class KlingVideoGenAspectRatio(str, Enum): + field_16_9 = '16:9' + field_9_16 = '9:16' + field_1_1 = '1:1' + + +class KlingVideoGenCfgScale(RootModel[float]): + root: float = Field( + ..., + description="Flexibility in video generation. The higher the value, the lower the model's degree of flexibility, and the stronger the relevance to the user's prompt.", + ge=0.0, + le=1.0, + ) + + +class KlingVideoGenDuration(str, Enum): + field_5 = '5' + field_10 = '10' + + +class KlingVideoGenMode(str, Enum): + std = 'std' + pro = 'pro' + + +class KlingVideoGenModelName(str, Enum): + kling_v1 = 'kling-v1' + kling_v1_5 = 'kling-v1-5' + kling_v1_6 = 'kling-v1-6' + kling_v2_master = 'kling-v2-master' + kling_v2_1 = 'kling-v2-1' + kling_v2_1_master = 'kling-v2-1-master' + + +class KlingVideoResult(BaseModel): + duration: Optional[str] = Field(None, description='Total video duration') + id: Optional[str] = Field(None, description='Generated video ID') + url: Optional[AnyUrl] = Field(None, description='URL for generated video') + + +class KlingVirtualTryOnModelName(str, Enum): + kolors_virtual_try_on_v1 = 'kolors-virtual-try-on-v1' + kolors_virtual_try_on_v1_5 = 'kolors-virtual-try-on-v1-5' + + +class KlingVirtualTryOnRequest(BaseModel): + callback_url: Optional[AnyUrl] = Field( + None, description='The callback notification address' + ) + cloth_image: Optional[str] = Field( + None, + description='Reference clothing image - Base64 encoded string or image URL', + ) + human_image: str = Field( + ..., description='Reference human image - Base64 encoded string or image URL' + ) + model_name: Optional[KlingVirtualTryOnModelName] = 'kolors-virtual-try-on-v1' + + +class TaskResult6(BaseModel): + images: Optional[List[KlingImageResult]] = None + + +class Data7(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_result: Optional[TaskResult6] = None + task_status: Optional[KlingTaskStatus] = None + task_status_msg: Optional[str] = Field(None, description='Task status information') + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingVirtualTryOnResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data7] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class LumaAspectRatio(str, Enum): + field_1_1 = '1:1' + field_16_9 = '16:9' + field_9_16 = '9:16' + field_4_3 = '4:3' + field_3_4 = '3:4' + field_21_9 = '21:9' + field_9_21 = '9:21' + + +class LumaAssets(BaseModel): + image: Optional[AnyUrl] = Field(None, description='The URL of the image') + progress_video: Optional[AnyUrl] = Field( + None, description='The URL of the progress video' + ) + video: Optional[AnyUrl] = Field(None, description='The URL of the video') + + +class GenerationType(str, Enum): + add_audio = 'add_audio' + + +class LumaAudioGenerationRequest(BaseModel): + callback_url: Optional[AnyUrl] = Field( + None, description='The callback URL for the audio' + ) + generation_type: Optional[GenerationType] = 'add_audio' + negative_prompt: Optional[str] = Field( + None, description='The negative prompt of the audio' + ) + prompt: Optional[str] = Field(None, description='The prompt of the audio') + + +class LumaError(BaseModel): + detail: Optional[str] = Field(None, description='The error message') + + +class Type12(str, Enum): + generation = 'generation' + + +class LumaGenerationReference(BaseModel): + id: UUID = Field(..., description='The ID of the generation') + type: Literal['generation'] + + +class GenerationType1(str, Enum): + video = 'video' + + +class LumaGenerationType(str, Enum): + video = 'video' + image = 'image' + + +class GenerationType2(str, Enum): + image = 'image' + + +class LumaImageIdentity(BaseModel): + images: Optional[List[AnyUrl]] = Field( + None, description='The URLs of the image identity' + ) + + +class LumaImageModel(str, Enum): + photon_1 = 'photon-1' + photon_flash_1 = 'photon-flash-1' + + +class LumaImageRef(BaseModel): + url: Optional[AnyUrl] = Field(None, description='The URL of the image reference') + weight: Optional[float] = Field( + None, description='The weight of the image reference' + ) + + +class Type13(str, Enum): + image = 'image' + + +class LumaImageReference(BaseModel): + type: Literal['image'] + url: AnyUrl = Field(..., description='The URL of the image') + + +class LumaKeyframe(RootModel[Union[LumaGenerationReference, LumaImageReference]]): + root: Union[LumaGenerationReference, LumaImageReference] = Field( + ..., + description='A keyframe can be either a Generation reference, an Image, or a Video', + discriminator='type', + ) + + +class LumaKeyframes(BaseModel): + frame0: Optional[LumaKeyframe] = None + frame1: Optional[LumaKeyframe] = None + + +class LumaModifyImageRef(BaseModel): + url: Optional[AnyUrl] = Field(None, description='The URL of the image reference') + weight: Optional[float] = Field( + None, description='The weight of the modify image reference' + ) + + +class LumaState(str, Enum): + queued = 'queued' + dreaming = 'dreaming' + completed = 'completed' + failed = 'failed' + + +class GenerationType3(str, Enum): + upscale_video = 'upscale_video' + + +class LumaVideoModel(str, Enum): + ray_2 = 'ray-2' + ray_flash_2 = 'ray-flash-2' + ray_1_6 = 'ray-1-6' + + +class LumaVideoModelOutputDuration1(str, Enum): + field_5s = '5s' + field_9s = '9s' + + +class LumaVideoModelOutputDuration( + RootModel[Union[LumaVideoModelOutputDuration1, str]] +): + root: Union[LumaVideoModelOutputDuration1, str] + + +class LumaVideoModelOutputResolution1(str, Enum): + field_540p = '540p' + field_720p = '720p' + field_1080p = '1080p' + field_4k = '4k' + + +class LumaVideoModelOutputResolution( + RootModel[Union[LumaVideoModelOutputResolution1, str]] +): + root: Union[LumaVideoModelOutputResolution1, str] + + +class MachineStats(BaseModel): + cpu_capacity: Optional[str] = Field(None, description='Total CPU on the machine.') + disk_capacity: Optional[str] = Field( + None, description='Total disk capacity on the machine.' + ) + gpu_type: Optional[str] = Field( + None, description='The GPU type. eg. NVIDIA Tesla K80' + ) + initial_cpu: Optional[str] = Field( + None, description='Initial CPU available before the job starts.' + ) + initial_disk: Optional[str] = Field( + None, description='Initial disk available before the job starts.' + ) + initial_ram: Optional[str] = Field( + None, description='Initial RAM available before the job starts.' + ) + machine_name: Optional[str] = Field(None, description='Name of the machine.') + memory_capacity: Optional[str] = Field( + None, description='Total memory on the machine.' + ) + os_version: Optional[str] = Field( + None, description='The operating system version. eg. Ubuntu Linux 20.04' + ) + pip_freeze: Optional[str] = Field(None, description='The pip freeze output') + vram_time_series: Optional[Dict[str, Any]] = Field( + None, description='Time series of VRAM usage.' + ) + + +class MinimaxBaseResponse(BaseModel): + status_code: int = Field( + ..., + description='Status code. 0 indicates success, other values indicate errors.', + ) + status_msg: str = Field( + ..., description='Specific error details or success message.' + ) + + +class File(BaseModel): + bytes: Optional[int] = Field(None, description='File size in bytes') + created_at: Optional[int] = Field( + None, description='Unix timestamp when the file was created, in seconds' + ) + download_url: Optional[str] = Field( + None, description='The URL to download the video' + ) + file_id: Optional[int] = Field(None, description='Unique identifier for the file') + filename: Optional[str] = Field(None, description='The name of the file') + purpose: Optional[str] = Field(None, description='The purpose of using the file') + + +class MinimaxFileRetrieveResponse(BaseModel): + base_resp: MinimaxBaseResponse + file: File + + +class Status6(str, Enum): + Queueing = 'Queueing' + Preparing = 'Preparing' + Processing = 'Processing' + Success = 'Success' + Fail = 'Fail' + + +class MinimaxTaskResultResponse(BaseModel): + base_resp: MinimaxBaseResponse + file_id: Optional[str] = Field( + None, + description='After the task status changes to Success, this field returns the file ID corresponding to the generated video.', + ) + status: Status6 = Field( + ..., + description="Task status: 'Queueing' (in queue), 'Preparing' (task is preparing), 'Processing' (generating), 'Success' (task completed successfully), or 'Fail' (task failed).", + ) + task_id: str = Field(..., description='The task ID being queried.') + + +class MiniMaxModel(str, Enum): + T2V_01_Director = 'T2V-01-Director' + I2V_01_Director = 'I2V-01-Director' + S2V_01 = 'S2V-01' + I2V_01 = 'I2V-01' + I2V_01_live = 'I2V-01-live' + T2V_01 = 'T2V-01' + Hailuo_02 = 'MiniMax-Hailuo-02' + + +class SubjectReferenceItem(BaseModel): + image: Optional[str] = Field( + None, description='URL or base64 encoding of the subject reference image.' + ) + mask: Optional[str] = Field( + None, + description='URL or base64 encoding of the mask for the subject reference image.', + ) + + +class MinimaxVideoGenerationRequest(BaseModel): + callback_url: Optional[str] = Field( + None, + description='Optional. URL to receive real-time status updates about the video generation task.', + ) + first_frame_image: Optional[str] = Field( + None, + description='URL or base64 encoding of the first frame image. Required when model is I2V-01, I2V-01-Director, or I2V-01-live.', + ) + model: MiniMaxModel = Field( + ..., + description='Required. ID of model. Options: T2V-01-Director, I2V-01-Director, S2V-01, I2V-01, I2V-01-live, T2V-01', + ) + prompt: Optional[str] = Field( + None, + description='Description of the video. Should be less than 2000 characters. Supports camera movement instructions in [brackets].', + max_length=2000, + ) + prompt_optimizer: Optional[bool] = Field( + True, + description='If true (default), the model will automatically optimize the prompt. Set to false for more precise control.', + ) + subject_reference: Optional[List[SubjectReferenceItem]] = Field( + None, + description='Only available when model is S2V-01. The model will generate a video based on the subject uploaded through this parameter.', + ) + duration: Optional[int] = Field( + None, + description="The length of the output video in seconds." + ) + resolution: Optional[str] = Field( + None, + description="The dimensions of the video display. 1080p corresponds to 1920 x 1080 pixels, 768p corresponds to 1366 x 768 pixels." + ) + + +class MinimaxVideoGenerationResponse(BaseModel): + base_resp: MinimaxBaseResponse + task_id: str = Field( + ..., description='The task ID for the asynchronous video generation task.' + ) + + +class Modality(str, Enum): + MODALITY_UNSPECIFIED = 'MODALITY_UNSPECIFIED' + TEXT = 'TEXT' + IMAGE = 'IMAGE' + VIDEO = 'VIDEO' + AUDIO = 'AUDIO' + DOCUMENT = 'DOCUMENT' + + +class ModalityTokenCount(BaseModel): + modality: Optional[Modality] = None + tokenCount: Optional[int] = Field( + None, description='Number of tokens for the given modality.' + ) + + +class Truncation(str, Enum): + disabled = 'disabled' + auto = 'auto' + + +class ModelResponseProperties(BaseModel): + instructions: Optional[str] = Field( + None, description='Instructions for the model on how to generate the response' + ) + max_output_tokens: Optional[int] = Field( + None, description='Maximum number of tokens to generate' + ) + model: Optional[str] = Field( + None, description='The model used to generate the response' + ) + temperature: Optional[float] = Field( + 1, description='Controls randomness in the response', ge=0.0, le=2.0 + ) + top_p: Optional[float] = Field( + 1, + description='Controls diversity of the response via nucleus sampling', + ge=0.0, + le=1.0, + ) + truncation: Optional[Truncation] = Field( + 'disabled', description='How to handle truncation of the response' + ) + + +class Keyframes(BaseModel): + image_url: Optional[str] = None + + +class MoonvalleyPromptResponse(BaseModel): + error: Optional[Dict[str, Any]] = None + frame_conditioning: Optional[Dict[str, Any]] = None + id: Optional[str] = None + inference_params: Optional[Dict[str, Any]] = None + meta: Optional[Dict[str, Any]] = None + model_params: Optional[Dict[str, Any]] = None + output_url: Optional[str] = None + prompt_text: Optional[str] = None + status: Optional[str] = None + + +class MoonvalleyTextToVideoInferenceParams(BaseModel): + add_quality_guidance: Optional[bool] = Field( + True, description='Whether to add quality guidance' + ) + caching_coefficient: Optional[float] = Field( + 0.3, description='Caching coefficient for optimization' + ) + caching_cooldown: Optional[int] = Field( + 3, description='Number of caching cooldown steps' + ) + caching_warmup: Optional[int] = Field( + 3, description='Number of caching warmup steps' + ) + clip_value: Optional[float] = Field( + 3, description='CLIP value for generation control' + ) + conditioning_frame_index: Optional[int] = Field( + 0, description='Index of the conditioning frame' + ) + cooldown_steps: Optional[int] = Field( + 75, description='Number of cooldown steps (calculated based on num_frames)' + ) + fps: Optional[int] = Field( + 24, description='Frames per second of the generated video' + ) + guidance_scale: Optional[float] = Field( + 10, description='Guidance scale for generation control' + ) + height: Optional[int] = Field( + 1080, description='Height of the generated video in pixels' + ) + negative_prompt: Optional[str] = Field(None, description='Negative prompt text') + num_frames: Optional[int] = Field(64, description='Number of frames to generate') + seed: Optional[int] = Field( + None, description='Random seed for generation (default: random)' + ) + shift_value: Optional[float] = Field( + 3, description='Shift value for generation control' + ) + steps: Optional[int] = Field(80, description='Number of denoising steps') + use_guidance_schedule: Optional[bool] = Field( + True, description='Whether to use guidance scheduling' + ) + use_negative_prompts: Optional[bool] = Field( + False, description='Whether to use negative prompts' + ) + use_timestep_transform: Optional[bool] = Field( + True, description='Whether to use timestep transformation' + ) + warmup_steps: Optional[int] = Field( + 0, description='Number of warmup steps (calculated based on num_frames)' + ) + width: Optional[int] = Field( + 1920, description='Width of the generated video in pixels' + ) + + +class MoonvalleyTextToVideoRequest(BaseModel): + image_url: Optional[str] = None + inference_params: Optional[MoonvalleyTextToVideoInferenceParams] = None + prompt_text: Optional[str] = None + webhook_url: Optional[str] = None + + +class MoonvalleyUploadFileRequest(BaseModel): + file: Optional[StrictBytes] = None + + +class MoonvalleyUploadFileResponse(BaseModel): + access_url: Optional[str] = None + + +class MoonvalleyVideoToVideoInferenceParams(BaseModel): + add_quality_guidance: Optional[bool] = Field( + True, description='Whether to add quality guidance' + ) + caching_coefficient: Optional[float] = Field( + 0.3, description='Caching coefficient for optimization' + ) + caching_cooldown: Optional[int] = Field( + 3, description='Number of caching cooldown steps' + ) + caching_warmup: Optional[int] = Field( + 3, description='Number of caching warmup steps' + ) + clip_value: Optional[float] = Field( + 3, description='CLIP value for generation control' + ) + conditioning_frame_index: Optional[int] = Field( + 0, description='Index of the conditioning frame' + ) + cooldown_steps: Optional[int] = Field( + 36, description='Number of cooldown steps (calculated based on num_frames)' + ) + guidance_scale: Optional[float] = Field( + 15, description='Guidance scale for generation control' + ) + negative_prompt: Optional[str] = Field(None, description='Negative prompt text') + seed: Optional[int] = Field( + None, description='Random seed for generation (default: random)' + ) + shift_value: Optional[float] = Field( + 3, description='Shift value for generation control' + ) + steps: Optional[int] = Field(80, description='Number of denoising steps') + use_guidance_schedule: Optional[bool] = Field( + True, description='Whether to use guidance scheduling' + ) + use_negative_prompts: Optional[bool] = Field( + False, description='Whether to use negative prompts' + ) + use_timestep_transform: Optional[bool] = Field( + True, description='Whether to use timestep transformation' + ) + warmup_steps: Optional[int] = Field( + 24, description='Number of warmup steps (calculated based on num_frames)' + ) + + +class ControlType(str, Enum): + motion_control = 'motion_control' + pose_control = 'pose_control' + + +class MoonvalleyVideoToVideoRequest(BaseModel): + control_type: ControlType = Field( + ..., description='Supported types for video control' + ) + inference_params: Optional[MoonvalleyVideoToVideoInferenceParams] = None + prompt_text: str = Field(..., description='Describes the video to generate') + video_url: str = Field(..., description='Url to control video') + webhook_url: Optional[str] = Field( + None, description='Optional webhook URL for notifications' + ) + + +class NodeStatus(str, Enum): + NodeStatusActive = 'NodeStatusActive' + NodeStatusDeleted = 'NodeStatusDeleted' + NodeStatusBanned = 'NodeStatusBanned' + + +class NodeVersionIdentifier(BaseModel): + node_id: str = Field(..., description='The unique identifier of the node') + version: str = Field(..., description='The version of the node') + + +class NodeVersionStatus(str, Enum): + NodeVersionStatusActive = 'NodeVersionStatusActive' + NodeVersionStatusDeleted = 'NodeVersionStatusDeleted' + NodeVersionStatusBanned = 'NodeVersionStatusBanned' + NodeVersionStatusPending = 'NodeVersionStatusPending' + NodeVersionStatusFlagged = 'NodeVersionStatusFlagged' + + +class NodeVersionUpdateRequest(BaseModel): + changelog: Optional[str] = Field( + None, description='The changelog describing the version changes.' + ) + deprecated: Optional[bool] = Field( + None, description='Whether the version is deprecated.' + ) + + +class Moderation(str, Enum): + low = 'low' + auto = 'auto' + + +class OutputFormat1(str, Enum): + png = 'png' + webp = 'webp' + jpeg = 'jpeg' + + +class OpenAIImageEditRequest(BaseModel): + background: Optional[str] = Field( + None, description='Background transparency', examples=['opaque'] + ) + model: str = Field( + ..., description='The model to use for image editing', examples=['gpt-image-1'] + ) + moderation: Optional[Moderation] = Field( + None, description='Content moderation setting', examples=['auto'] + ) + n: Optional[int] = Field( + None, description='The number of images to generate', examples=[1] + ) + output_compression: Optional[int] = Field( + None, description='Compression level for JPEG or WebP (0-100)', examples=[100] + ) + output_format: Optional[OutputFormat1] = Field( + None, description='Format of the output image', examples=['png'] + ) + prompt: str = Field( + ..., + description='A text description of the desired edit', + examples=['Give the rocketship rainbow coloring'], + ) + quality: Optional[str] = Field( + None, description='The quality of the edited image', examples=['low'] + ) + size: Optional[str] = Field( + None, description='Size of the output image', examples=['1024x1024'] + ) + user: Optional[str] = Field( + None, + description='A unique identifier for end-user monitoring', + examples=['user-1234'], + ) + + +class Background(str, Enum): + transparent = 'transparent' + opaque = 'opaque' + + +class Quality(str, Enum): + low = 'low' + medium = 'medium' + high = 'high' + standard = 'standard' + hd = 'hd' + + +class ResponseFormat(str, Enum): + url = 'url' + b64_json = 'b64_json' + + +class Style(str, Enum): + vivid = 'vivid' + natural = 'natural' + + +class OpenAIImageGenerationRequest(BaseModel): + background: Optional[Background] = Field( + None, description='Background transparency', examples=['opaque'] + ) + model: Optional[str] = Field( + None, description='The model to use for image generation', examples=['dall-e-3'] + ) + moderation: Optional[Moderation] = Field( + None, description='Content moderation setting', examples=['auto'] + ) + n: Optional[int] = Field( + None, + description='The number of images to generate (1-10). Only 1 supported for dall-e-3.', + examples=[1], + ) + output_compression: Optional[int] = Field( + None, description='Compression level for JPEG or WebP (0-100)', examples=[100] + ) + output_format: Optional[OutputFormat1] = Field( + None, description='Format of the output image', examples=['png'] + ) + prompt: str = Field( + ..., + description='A text description of the desired image', + examples=['Draw a rocket in front of a blackhole in deep space'], + ) + quality: Optional[Quality] = Field( + None, description='The quality of the generated image', examples=['high'] + ) + response_format: Optional[ResponseFormat] = Field( + None, description='Response format of image data', examples=['b64_json'] + ) + size: Optional[str] = Field( + None, + description='Size of the image (e.g., 1024x1024, 1536x1024, auto)', + examples=['1024x1536'], + ) + style: Optional[Style] = Field( + None, description='Style of the image (only for dall-e-3)', examples=['vivid'] + ) + user: Optional[str] = Field( + None, + description='A unique identifier for end-user monitoring', + examples=['user-1234'], + ) + + +class Datum2(BaseModel): + b64_json: Optional[str] = Field(None, description='Base64 encoded image data') + revised_prompt: Optional[str] = Field(None, description='Revised prompt') + url: Optional[str] = Field(None, description='URL of the image') + + +class InputTokensDetails(BaseModel): + image_tokens: Optional[int] = None + text_tokens: Optional[int] = None + + +class Usage(BaseModel): + input_tokens: Optional[int] = None + input_tokens_details: Optional[InputTokensDetails] = None + output_tokens: Optional[int] = None + total_tokens: Optional[int] = None + + +class OpenAIImageGenerationResponse(BaseModel): + data: Optional[List[Datum2]] = None + usage: Optional[Usage] = None + + +class OpenAIModels(str, Enum): + gpt_4 = 'gpt-4' + gpt_4_0314 = 'gpt-4-0314' + gpt_4_0613 = 'gpt-4-0613' + gpt_4_32k = 'gpt-4-32k' + gpt_4_32k_0314 = 'gpt-4-32k-0314' + gpt_4_32k_0613 = 'gpt-4-32k-0613' + gpt_4_0125_preview = 'gpt-4-0125-preview' + gpt_4_turbo = 'gpt-4-turbo' + gpt_4_turbo_2024_04_09 = 'gpt-4-turbo-2024-04-09' + gpt_4_turbo_preview = 'gpt-4-turbo-preview' + gpt_4_1106_preview = 'gpt-4-1106-preview' + gpt_4_vision_preview = 'gpt-4-vision-preview' + gpt_3_5_turbo = 'gpt-3.5-turbo' + gpt_3_5_turbo_16k = 'gpt-3.5-turbo-16k' + gpt_3_5_turbo_0301 = 'gpt-3.5-turbo-0301' + gpt_3_5_turbo_0613 = 'gpt-3.5-turbo-0613' + gpt_3_5_turbo_1106 = 'gpt-3.5-turbo-1106' + gpt_3_5_turbo_0125 = 'gpt-3.5-turbo-0125' + gpt_3_5_turbo_16k_0613 = 'gpt-3.5-turbo-16k-0613' + gpt_4_1 = 'gpt-4.1' + gpt_4_1_mini = 'gpt-4.1-mini' + gpt_4_1_nano = 'gpt-4.1-nano' + gpt_4_1_2025_04_14 = 'gpt-4.1-2025-04-14' + gpt_4_1_mini_2025_04_14 = 'gpt-4.1-mini-2025-04-14' + gpt_4_1_nano_2025_04_14 = 'gpt-4.1-nano-2025-04-14' + o1 = 'o1' + o1_mini = 'o1-mini' + o1_preview = 'o1-preview' + o1_pro = 'o1-pro' + o1_2024_12_17 = 'o1-2024-12-17' + o1_preview_2024_09_12 = 'o1-preview-2024-09-12' + o1_mini_2024_09_12 = 'o1-mini-2024-09-12' + o1_pro_2025_03_19 = 'o1-pro-2025-03-19' + o3 = 'o3' + o3_mini = 'o3-mini' + o3_2025_04_16 = 'o3-2025-04-16' + o3_mini_2025_01_31 = 'o3-mini-2025-01-31' + o4_mini = 'o4-mini' + o4_mini_2025_04_16 = 'o4-mini-2025-04-16' + gpt_4o = 'gpt-4o' + gpt_4o_mini = 'gpt-4o-mini' + gpt_4o_2024_11_20 = 'gpt-4o-2024-11-20' + gpt_4o_2024_08_06 = 'gpt-4o-2024-08-06' + gpt_4o_2024_05_13 = 'gpt-4o-2024-05-13' + gpt_4o_mini_2024_07_18 = 'gpt-4o-mini-2024-07-18' + gpt_4o_audio_preview = 'gpt-4o-audio-preview' + gpt_4o_audio_preview_2024_10_01 = 'gpt-4o-audio-preview-2024-10-01' + gpt_4o_audio_preview_2024_12_17 = 'gpt-4o-audio-preview-2024-12-17' + gpt_4o_mini_audio_preview = 'gpt-4o-mini-audio-preview' + gpt_4o_mini_audio_preview_2024_12_17 = 'gpt-4o-mini-audio-preview-2024-12-17' + gpt_4o_search_preview = 'gpt-4o-search-preview' + gpt_4o_mini_search_preview = 'gpt-4o-mini-search-preview' + gpt_4o_search_preview_2025_03_11 = 'gpt-4o-search-preview-2025-03-11' + gpt_4o_mini_search_preview_2025_03_11 = 'gpt-4o-mini-search-preview-2025-03-11' + computer_use_preview = 'computer-use-preview' + computer_use_preview_2025_03_11 = 'computer-use-preview-2025-03-11' + chatgpt_4o_latest = 'chatgpt-4o-latest' + + +class Reason(str, Enum): + max_output_tokens = 'max_output_tokens' + content_filter = 'content_filter' + + +class IncompleteDetails(BaseModel): + reason: Optional[Reason] = Field( + None, description='The reason why the response is incomplete.' + ) + + +class Object(str, Enum): + response = 'response' + + +class Status7(str, Enum): + completed = 'completed' + failed = 'failed' + in_progress = 'in_progress' + incomplete = 'incomplete' + + +class Type14(str, Enum): + output_audio = 'output_audio' + + +class OutputAudioContent(BaseModel): + data: str = Field(..., description='Base64-encoded audio data') + transcript: str = Field(..., description='Transcript of the audio') + type: Type14 = Field(..., description='The type of output content') + + +class Role4(str, Enum): + assistant = 'assistant' + + +class Type15(str, Enum): + message = 'message' + + +class Type16(str, Enum): + output_text = 'output_text' + + +class OutputTextContent(BaseModel): + text: str = Field(..., description='The text content') + type: Type16 = Field(..., description='The type of output content') + + +class PersonalAccessToken(BaseModel): + createdAt: Optional[datetime] = Field( + None, description='[Output Only]The date and time the token was created.' + ) + description: Optional[str] = Field( + None, + description="Optional. A more detailed description of the token's intended use.", + ) + id: Optional[UUID] = Field(None, description='Unique identifier for the GitCommit') + name: Optional[str] = Field( + None, + description='Required. The name of the token. Can be a simple description.', + ) + token: Optional[str] = Field( + None, + description='[Output Only]. The personal access token. Only returned during creation.', + ) + + +class AspectRatio1(RootModel[float]): + root: float = Field( + ..., + description='Aspect ratio (width / height)', + ge=0.4, + le=2.5, + title='Aspectratio', + ) + + +class IngredientsMode(str, Enum): + creative = 'creative' + precise = 'precise' + + +class PikaBodyGenerate22C2vGenerate22PikascenesPost(BaseModel): + aspectRatio: Optional[AspectRatio1] = Field( + None, description='Aspect ratio (width / height)', title='Aspectratio' + ) + duration: Optional[int] = Field(5, title='Duration') + images: Optional[List[StrictBytes]] = Field(None, title='Images') + ingredientsMode: IngredientsMode = Field(..., title='Ingredientsmode') + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + promptText: Optional[str] = Field(None, title='Prompttext') + resolution: Optional[str] = Field('1080p', title='Resolution') + seed: Optional[int] = Field(None, title='Seed') + + +class PikaBodyGeneratePikadditionsGeneratePikadditionsPost(BaseModel): + image: Optional[StrictBytes] = Field(None, title='Image') + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + promptText: Optional[str] = Field(None, title='Prompttext') + seed: Optional[int] = Field(None, title='Seed') + video: Optional[StrictBytes] = Field(None, title='Video') + + +class PikaBodyGeneratePikaswapsGeneratePikaswapsPost(BaseModel): + image: Optional[StrictBytes] = Field(None, title='Image') + modifyRegionMask: Optional[StrictBytes] = Field( + None, + description='A mask image that specifies the region to modify, where the mask is white and the background is black', + title='Modifyregionmask', + ) + modifyRegionRoi: Optional[str] = Field( + None, + description='Plaintext description of the object / region to modify', + title='Modifyregionroi', + ) + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + promptText: Optional[str] = Field(None, title='Prompttext') + seed: Optional[int] = Field(None, title='Seed') + video: Optional[StrictBytes] = Field(None, title='Video') + + +class PikaDurationEnum(int, Enum): + integer_5 = 5 + integer_10 = 10 + + +class PikaGenerateResponse(BaseModel): + video_id: str = Field(..., title='Video Id') + + +class PikaResolutionEnum(str, Enum): + field_1080p = '1080p' + field_720p = '720p' + + +class PikaStatusEnum(str, Enum): + queued = 'queued' + started = 'started' + finished = 'finished' + + +class PikaValidationError(BaseModel): + loc: List[Union[str, int]] = Field(..., title='Location') + msg: str = Field(..., title='Message') + type: str = Field(..., title='Error Type') + + +class PikaVideoResponse(BaseModel): + id: str = Field(..., title='Id') + progress: Optional[int] = Field(None, title='Progress') + status: PikaStatusEnum + url: Optional[str] = Field(None, title='Url') + + +class Pikaffect(str, Enum): + Cake_ify = 'Cake-ify' + Crumble = 'Crumble' + Crush = 'Crush' + Decapitate = 'Decapitate' + Deflate = 'Deflate' + Dissolve = 'Dissolve' + Explode = 'Explode' + Eye_pop = 'Eye-pop' + Inflate = 'Inflate' + Levitate = 'Levitate' + Melt = 'Melt' + Peel = 'Peel' + Poke = 'Poke' + Squish = 'Squish' + Ta_da = 'Ta-da' + Tear = 'Tear' + + +class Resp(BaseModel): + img_id: Optional[int] = None + + +class PixverseImageUploadResponse(BaseModel): + ErrCode: Optional[int] = None + ErrMsg: Optional[str] = None + Resp_1: Optional[Resp] = Field(None, alias='Resp') + + +class Duration(int, Enum): + integer_5 = 5 + integer_8 = 8 + + +class Model1(str, Enum): + v3_5 = 'v3.5' + + +class MotionMode(str, Enum): + normal = 'normal' + fast = 'fast' + + +class Quality1(str, Enum): + field_360p = '360p' + field_540p = '540p' + field_720p = '720p' + field_1080p = '1080p' + + +class Style1(str, Enum): + anime = 'anime' + field_3d_animation = '3d_animation' + clay = 'clay' + comic = 'comic' + cyberpunk = 'cyberpunk' + + +class PixverseImageVideoRequest(BaseModel): + duration: Duration + img_id: int + model: Model1 + motion_mode: Optional[MotionMode] = None + prompt: str + quality: Quality1 + seed: Optional[int] = None + style: Optional[Style1] = None + template_id: Optional[int] = None + water_mark: Optional[bool] = None + + +class AspectRatio2(str, Enum): + field_16_9 = '16:9' + field_4_3 = '4:3' + field_1_1 = '1:1' + field_3_4 = '3:4' + field_9_16 = '9:16' + + +class PixverseTextVideoRequest(BaseModel): + aspect_ratio: AspectRatio2 + duration: Duration + model: Model1 + motion_mode: Optional[MotionMode] = None + negative_prompt: Optional[str] = None + prompt: str + quality: Quality1 + seed: Optional[int] = None + style: Optional[Style1] = None + template_id: Optional[int] = None + water_mark: Optional[bool] = None + + +class PixverseTransitionVideoRequest(BaseModel): + duration: Duration + first_frame_img: int + last_frame_img: int + model: Model1 + motion_mode: MotionMode + prompt: str + quality: Quality1 + seed: int + style: Optional[Style1] = None + template_id: Optional[int] = None + water_mark: Optional[bool] = None + + +class Resp1(BaseModel): + video_id: Optional[int] = None + + +class PixverseVideoResponse(BaseModel): + ErrCode: Optional[int] = None + ErrMsg: Optional[str] = None + Resp: Optional[Resp1] = None + + +class Status8(int, Enum): + integer_1 = 1 + integer_5 = 5 + integer_6 = 6 + integer_7 = 7 + integer_8 = 8 + + +class Resp2(BaseModel): + create_time: Optional[str] = None + id: Optional[int] = None + modify_time: Optional[str] = None + negative_prompt: Optional[str] = None + outputHeight: Optional[int] = None + outputWidth: Optional[int] = None + prompt: Optional[str] = None + resolution_ratio: Optional[int] = None + seed: Optional[int] = None + size: Optional[int] = None + status: Optional[Status8] = Field( + None, + description='Video generation status codes:\n* 1 - Generation successful\n* 5 - Generating\n* 6 - Deleted\n* 7 - Contents moderation failed\n* 8 - Generation failed\n', + ) + style: Optional[str] = None + url: Optional[str] = None + + +class PixverseVideoResultResponse(BaseModel): + ErrCode: Optional[int] = None + ErrMsg: Optional[str] = None + Resp: Optional[Resp2] = None + + +class PublisherStatus(str, Enum): + PublisherStatusActive = 'PublisherStatusActive' + PublisherStatusBanned = 'PublisherStatusBanned' + + +class PublisherUser(BaseModel): + email: Optional[str] = Field(None, description='The email address for this user.') + id: Optional[str] = Field(None, description='The unique id for this user.') + name: Optional[str] = Field(None, description='The name for this user.') + + +class RgbItem(RootModel[int]): + root: int = Field(..., ge=0, le=255) + + +class RGBColor(BaseModel): + rgb: List[RgbItem] = Field(..., max_length=3, min_length=3) + + +class GenerateSummary(str, Enum): + auto = 'auto' + concise = 'concise' + detailed = 'detailed' + + +class Summary(str, Enum): + auto = 'auto' + concise = 'concise' + detailed = 'detailed' + + +class ReasoningEffort(str, Enum): + low = 'low' + medium = 'medium' + high = 'high' + + +class Status9(str, Enum): + in_progress = 'in_progress' + completed = 'completed' + incomplete = 'incomplete' + + +class Type17(str, Enum): + summary_text = 'summary_text' + + +class SummaryItem(BaseModel): + text: str = Field( + ..., + description='A short summary of the reasoning used by the model when generating\nthe response.\n', + ) + type: Type17 = Field( + ..., description='The type of the object. Always `summary_text`.\n' + ) + + +class Type18(str, Enum): + reasoning = 'reasoning' + + +class ReasoningItem(BaseModel): + id: str = Field( + ..., description='The unique identifier of the reasoning content.\n' + ) + status: Optional[Status9] = Field( + None, + description='The status of the item. One of `in_progress`, `completed`, or\n`incomplete`. Populated when items are returned via API.\n', + ) + summary: List[SummaryItem] = Field(..., description='Reasoning text contents.\n') + type: Type18 = Field( + ..., description='The type of the object. Always `reasoning`.\n' + ) + + +class RecraftImageColor(BaseModel): + rgb: Optional[List[int]] = None + std: Optional[List[float]] = None + weight: Optional[float] = None + + +class RecraftImageFeatures(BaseModel): + nsfw_score: Optional[float] = None + + +class RecraftImageFormat(str, Enum): + webp = 'webp' + png = 'png' + + +class Controls(BaseModel): + artistic_level: Optional[int] = Field( + None, + description='Defines artistic tone of your image. At a simple level, the person looks straight at the camera in a static and clean style. Dynamic and eccentric levels introduce movement and creativity.', + ge=0, + le=5, + ) + background_color: Optional[RGBColor] = None + colors: Optional[List[RGBColor]] = Field( + None, description='An array of preferable colors' + ) + no_text: Optional[bool] = Field(None, description='Do not embed text layouts') + + +class RecraftImageGenerationRequest(BaseModel): + controls: Optional[Controls] = Field( + None, description='The controls for the generated image' + ) + model: str = Field( + ..., description='The model to use for generation (e.g., "recraftv3")' + ) + n: int = Field(..., description='The number of images to generate', ge=1, le=4) + prompt: str = Field( + ..., description='The text prompt describing the image to generate' + ) + size: str = Field( + ..., description='The size of the generated image (e.g., "1024x1024")' + ) + style: Optional[str] = Field( + None, + description='The style to apply to the generated image (e.g., "digital_illustration")', + ) + style_id: Optional[str] = Field( + None, + description='The style ID to apply to the generated image (e.g., "123e4567-e89b-12d3-a456-426614174000"). If style_id is provided, style should not be provided.', + ) + + +class Datum3(BaseModel): + image_id: Optional[str] = Field( + None, description='Unique identifier for the generated image' + ) + url: Optional[str] = Field(None, description='URL to access the generated image') + + +class RecraftImageGenerationResponse(BaseModel): + created: int = Field( + ..., description='Unix timestamp when the generation was created' + ) + credits: int = Field(..., description='Number of credits used for the generation') + data: List[Datum3] = Field(..., description='Array of generated image information') + + +class RecraftImageStyle(str, Enum): + digital_illustration = 'digital_illustration' + icon = 'icon' + realistic_image = 'realistic_image' + vector_illustration = 'vector_illustration' + + +class RecraftImageSubStyle(str, Enum): + field_2d_art_poster = '2d_art_poster' + field_3d = '3d' + field_80s = '80s' + glow = 'glow' + grain = 'grain' + hand_drawn = 'hand_drawn' + infantile_sketch = 'infantile_sketch' + kawaii = 'kawaii' + pixel_art = 'pixel_art' + psychedelic = 'psychedelic' + seamless = 'seamless' + voxel = 'voxel' + watercolor = 'watercolor' + broken_line = 'broken_line' + colored_outline = 'colored_outline' + colored_shapes = 'colored_shapes' + colored_shapes_gradient = 'colored_shapes_gradient' + doodle_fill = 'doodle_fill' + doodle_offset_fill = 'doodle_offset_fill' + offset_fill = 'offset_fill' + outline = 'outline' + outline_gradient = 'outline_gradient' + uneven_fill = 'uneven_fill' + field_70s = '70s' + cartoon = 'cartoon' + doodle_line_art = 'doodle_line_art' + engraving = 'engraving' + flat_2 = 'flat_2' + kawaii_1 = 'kawaii' + line_art = 'line_art' + linocut = 'linocut' + seamless_1 = 'seamless' + b_and_w = 'b_and_w' + enterprise = 'enterprise' + hard_flash = 'hard_flash' + hdr = 'hdr' + motion_blur = 'motion_blur' + natural_light = 'natural_light' + studio_portrait = 'studio_portrait' + line_circuit = 'line_circuit' + field_2d_art_poster_2 = '2d_art_poster_2' + engraving_color = 'engraving_color' + flat_air_art = 'flat_air_art' + hand_drawn_outline = 'hand_drawn_outline' + handmade_3d = 'handmade_3d' + stickers_drawings = 'stickers_drawings' + plastic = 'plastic' + pictogram = 'pictogram' + + +class RecraftResponseFormat(str, Enum): + url = 'url' + b64_json = 'b64_json' + + +class RecraftTextLayoutItem(BaseModel): + bbox: List[List[float]] + text: str + + +class RecraftTransformModel(str, Enum): + refm1 = 'refm1' + recraft20b = 'recraft20b' + recraftv2 = 'recraftv2' + recraftv3 = 'recraftv3' + flux1_1pro = 'flux1_1pro' + flux1dev = 'flux1dev' + imagen3 = 'imagen3' + hidream_i1_dev = 'hidream_i1_dev' + + +class RecraftUserControls(BaseModel): + artistic_level: Optional[int] = None + background_color: Optional[RecraftImageColor] = None + colors: Optional[List[RecraftImageColor]] = None + no_text: Optional[bool] = None + + +class Attention(str, Enum): + low = 'low' + medium = 'medium' + high = 'high' + + +class Project(str, Enum): + comfyui = 'comfyui' + comfyui_frontend = 'comfyui_frontend' + desktop = 'desktop' + + +class ReleaseNote(BaseModel): + attention: Attention = Field( + ..., description='The attention level for this release' + ) + content: str = Field( + ..., description='The content of the release note in markdown format' + ) + id: int = Field(..., description='Unique identifier for the release note') + project: Project = Field( + ..., description='The project this release note belongs to' + ) + published_at: datetime = Field( + ..., description='When the release note was published' + ) + version: str = Field(..., description='The version of the release') + + +class RenderingSpeed(str, Enum): + DEFAULT = 'DEFAULT' + TURBO = 'TURBO' + QUALITY = 'QUALITY' + + +class Type19(str, Enum): + response_completed = 'response.completed' + + +class Type20(str, Enum): + response_content_part_added = 'response.content_part.added' + + +class Type21(str, Enum): + response_content_part_done = 'response.content_part.done' + + +class Type22(str, Enum): + response_created = 'response.created' + + +class ResponseErrorCode(str, Enum): + server_error = 'server_error' + rate_limit_exceeded = 'rate_limit_exceeded' + invalid_prompt = 'invalid_prompt' + vector_store_timeout = 'vector_store_timeout' + invalid_image = 'invalid_image' + invalid_image_format = 'invalid_image_format' + invalid_base64_image = 'invalid_base64_image' + invalid_image_url = 'invalid_image_url' + image_too_large = 'image_too_large' + image_too_small = 'image_too_small' + image_parse_error = 'image_parse_error' + image_content_policy_violation = 'image_content_policy_violation' + invalid_image_mode = 'invalid_image_mode' + image_file_too_large = 'image_file_too_large' + unsupported_image_media_type = 'unsupported_image_media_type' + empty_image_file = 'empty_image_file' + failed_to_download_image = 'failed_to_download_image' + image_file_not_found = 'image_file_not_found' + + +class Type23(str, Enum): + error = 'error' + + +class ResponseErrorEvent(BaseModel): + code: str = Field(..., description='The error code.\n') + message: str = Field(..., description='The error message.\n') + param: str = Field(..., description='The error parameter.\n') + type: Type23 = Field(..., description='The type of the event. Always `error`.\n') + + +class Type24(str, Enum): + response_failed = 'response.failed' + + +class Type25(str, Enum): + json_object = 'json_object' + + +class ResponseFormatJsonObject(BaseModel): + type: Type25 = Field( + ..., + description='The type of response format being defined. Always `json_object`.', + ) + + +class ResponseFormatJsonSchemaSchema(BaseModel): + pass + model_config = ConfigDict( + extra='allow', + ) + + +class Type26(str, Enum): + text = 'text' + + +class ResponseFormatText(BaseModel): + type: Type26 = Field( + ..., description='The type of response format being defined. Always `text`.' + ) + + +class Type27(str, Enum): + response_in_progress = 'response.in_progress' + + +class Type28(str, Enum): + response_incomplete = 'response.incomplete' + + +class Type29(str, Enum): + response_output_item_added = 'response.output_item.added' + + +class Type30(str, Enum): + response_output_item_done = 'response.output_item.done' + + +class Truncation1(str, Enum): + auto = 'auto' + disabled = 'disabled' + + +class InputTokensDetails1(BaseModel): + cached_tokens: int = Field( + ..., + description='The number of tokens that were retrieved from the cache. \n[More on prompt caching](/docs/guides/prompt-caching).\n', + ) + + +class OutputTokensDetails(BaseModel): + reasoning_tokens: int = Field(..., description='The number of reasoning tokens.') + + +class ResponseUsage(BaseModel): + input_tokens: int = Field(..., description='The number of input tokens.') + input_tokens_details: InputTokensDetails1 = Field( + ..., description='A detailed breakdown of the input tokens.' + ) + output_tokens: int = Field(..., description='The number of output tokens.') + output_tokens_details: OutputTokensDetails = Field( + ..., description='A detailed breakdown of the output tokens.' + ) + total_tokens: int = Field(..., description='The total number of tokens used.') + + +class Rodin3DCheckStatusRequest(BaseModel): + subscription_key: str = Field( + ..., description='subscription from generate endpoint' + ) + + +class Rodin3DDownloadRequest(BaseModel): + task_uuid: str = Field(..., description='Task UUID') + + +class RodinGenerateJobsData(BaseModel): + subscription_key: Optional[str] = Field(None, description='Subscription Key.') + uuids: Optional[List[str]] = Field(None, description='subjobs uuid.') + + +class RodinMaterialType(str, Enum): + PBR = 'PBR' + Shaded = 'Shaded' + + +class RodinMeshModeType(str, Enum): + Quad = 'Quad' + Raw = 'Raw' + + +class RodinQualityType(str, Enum): + extra_low = 'extra-low' + low = 'low' + medium = 'medium' + high = 'high' + + +class RodinResourceItem(BaseModel): + name: Optional[str] = Field(None, description='File name') + url: Optional[str] = Field(None, description='Download url') + + +class RodinStatusOptions(str, Enum): + Done = 'Done' + Failed = 'Failed' + Generating = 'Generating' + Waiting = 'Waiting' + + +class RodinTierType(str, Enum): + Regular = 'Regular' + Sketch = 'Sketch' + Detail = 'Detail' + Smooth = 'Smooth' + + +class RunwayAspectRatioEnum(str, Enum): + field_1280_720 = '1280:720' + field_720_1280 = '720:1280' + field_1104_832 = '1104:832' + field_832_1104 = '832:1104' + field_960_960 = '960:960' + field_1584_672 = '1584:672' + field_1280_768 = '1280:768' + field_768_1280 = '768:1280' + + +class RunwayDurationEnum(int, Enum): + integer_5 = 5 + integer_10 = 10 + + +class RunwayImageToVideoResponse(BaseModel): + id: Optional[str] = Field(None, description='Task ID') + + +class RunwayModelEnum(str, Enum): + gen4_turbo = 'gen4_turbo' + gen3a_turbo = 'gen3a_turbo' + + +class Position(str, Enum): + first = 'first' + last = 'last' + + +class RunwayPromptImageDetailedObject(BaseModel): + position: Position = Field( + ..., + description="The position of the image in the output video. 'last' is currently supported for gen3a_turbo only.", + ) + uri: str = Field( + ..., description='A HTTPS URL or data URI containing an encoded image.' + ) + + +class RunwayPromptImageObject( + RootModel[Union[str, List[RunwayPromptImageDetailedObject]]] +): + root: Union[str, List[RunwayPromptImageDetailedObject]] = Field( + ..., + description='Image(s) to use for the video generation. Can be a single URI or an array of image objects with positions.', + ) + + +class RunwayTaskStatusEnum(str, Enum): + SUCCEEDED = 'SUCCEEDED' + RUNNING = 'RUNNING' + FAILED = 'FAILED' + PENDING = 'PENDING' + CANCELLED = 'CANCELLED' + THROTTLED = 'THROTTLED' + + +class RunwayTaskStatusResponse(BaseModel): + createdAt: datetime = Field(..., description='Task creation timestamp') + id: str = Field(..., description='Task ID') + output: Optional[List[str]] = Field(None, description='Array of output video URLs') + progress: Optional[float] = Field( + None, + description='Float value between 0 and 1 representing the progress of the task. Only available if status is RUNNING.', + ge=0.0, + le=1.0, + ) + status: RunwayTaskStatusEnum + + +class RunwayTextToImageAspectRatioEnum(str, Enum): + field_1920_1080 = '1920:1080' + field_1080_1920 = '1080:1920' + field_1024_1024 = '1024:1024' + field_1360_768 = '1360:768' + field_1080_1080 = '1080:1080' + field_1168_880 = '1168:880' + field_1440_1080 = '1440:1080' + field_1080_1440 = '1080:1440' + field_1808_768 = '1808:768' + field_2112_912 = '2112:912' + + +class Model4(str, Enum): + gen4_image = 'gen4_image' + + +class ReferenceImage(BaseModel): + uri: Optional[str] = Field( + None, description='A HTTPS URL or data URI containing an encoded image' + ) + + +class RunwayTextToImageRequest(BaseModel): + model: Model4 = Field(..., description='Model to use for generation') + promptText: str = Field( + ..., description='Text prompt for the image generation', max_length=1000 + ) + ratio: RunwayTextToImageAspectRatioEnum + referenceImages: Optional[List[ReferenceImage]] = Field( + None, description='Array of reference images to guide the generation' + ) + + +class RunwayTextToImageResponse(BaseModel): + id: Optional[str] = Field(None, description='Task ID') + + +class Name(str, Enum): + content_moderation = 'content_moderation' + + +class StabilityContentModerationResponse(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new) you file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: Name = Field( + ..., + description='Our content moderation system has flagged some part of your request and subsequently denied it. You were not charged for this request. While this may at times be frustrating, it is necessary to maintain the integrity of our platform and ensure a safe experience for all users. If you would like to provide feedback, please use the [Support Form](https://kb.stability.ai/knowledge-base/kb-tickets/new).', + ) + + +class StabilityCreativity(RootModel[float]): + root: float = Field( + ..., + description='Controls the likelihood of creating additional details not heavily conditioned by the init image.', + ge=0.2, + le=0.5, + ) + + +class StabilityError(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[[{'some-field': 'is required'}]], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new) you file, as it will greatly assist us in diagnosing the root cause of the problem.\n', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityGenerationID(RootModel[str]): + root: str = Field( + ..., + description='The `id` of a generation, typically used for async generations, that can be used to check the status of the generation or retrieve the result.', + examples=['a6dc6c6e20acda010fe14d71f180658f2896ed9b4ec25aa99a6ff06c796987c4'], + max_length=64, + min_length=64, + ) + + +class Status10(str, Enum): + in_progress = 'in-progress' + + +class StabilityGetResultResponse202(BaseModel): + id: Optional[str] = Field( + None, description='The ID of the generation result.', examples=[1234567890] + ) + status: Optional[Status10] = None + + +class AspectRatio3(str, Enum): + field_21_9 = '21:9' + field_16_9 = '16:9' + field_3_2 = '3:2' + field_5_4 = '5:4' + field_1_1 = '1:1' + field_4_5 = '4:5' + field_2_3 = '2:3' + field_9_16 = '9:16' + field_9_21 = '9:21' + + +class Mode(str, Enum): + text_to_image = 'text-to-image' + image_to_image = 'image-to-image' + + +class Model5(str, Enum): + sd3_5_large = 'sd3.5-large' + sd3_5_large_turbo = 'sd3.5-large-turbo' + sd3_5_medium = 'sd3.5-medium' + + +class OutputFormat3(str, Enum): + png = 'png' + jpeg = 'jpeg' + + +class StylePreset(str, Enum): + enhance = 'enhance' + anime = 'anime' + photographic = 'photographic' + digital_art = 'digital-art' + comic_book = 'comic-book' + fantasy_art = 'fantasy-art' + line_art = 'line-art' + analog_film = 'analog-film' + neon_punk = 'neon-punk' + isometric = 'isometric' + low_poly = 'low-poly' + origami = 'origami' + modeling_compound = 'modeling-compound' + cinematic = 'cinematic' + field_3d_model = '3d-model' + pixel_art = 'pixel-art' + tile_texture = 'tile-texture' + + +class StabilityImageGenerationSD3Request(BaseModel): + aspect_ratio: Optional[AspectRatio3] = Field( + '1:1', + description='Controls the aspect ratio of the generated image. Defaults to 1:1.\n\n> **Important:** This parameter is only valid for **text-to-image** requests.', + ) + cfg_scale: Optional[float] = Field( + None, + description='How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt). The _Large_ and _Medium_ models use a default of `4`. The _Turbo_ model uses a default of `1`.', + ge=1.0, + le=10.0, + ) + image: Optional[StrictBytes] = Field( + None, + description='The image to use as the starting point for the generation.\n\nSupported formats:\n\n\n\n - jpeg\n - png\n - webp\n\nSupported dimensions:\n\n\n\n - Every side must be at least 64 pixels\n\n> **Important:** This parameter is only valid for **image-to-image** requests.', + ) + mode: Optional[Mode] = Field( + 'text-to-image', + description='Controls whether this is a text-to-image or image-to-image generation, which affects which parameters are required:\n- **text-to-image** requires only the `prompt` parameter\n- **image-to-image** requires the `prompt`, `image`, and `strength` parameters', + title='GenerationMode', + ) + model: Optional[Model5] = Field( + 'sd3.5-large', + description='The model to use for generation.\n\n- `sd3.5-large` requires 6.5 credits per generation\n- `sd3.5-large-turbo` requires 4 credits per generation\n- `sd3.5-medium` requires 3.5 credits per generation\n- As of the April 17, 2025, `sd3-large`, `sd3-large-turbo` and `sd3-medium`\n\n\n\n are re-routed to their `sd3.5-[model version]` equivalent, at the same price.', + ) + negative_prompt: Optional[str] = Field( + None, + description='Keywords of what you **do not** wish to see in the output image.\nThis is an advanced feature.', + max_length=10000, + ) + output_format: Optional[OutputFormat3] = Field( + 'png', description='Dictates the `content-type` of the generated image.' + ) + prompt: str = Field( + ..., + description='What you wish to see in the output image. A strong, descriptive prompt that clearly defines\nelements, colors, and subjects will lead to better results.', + max_length=10000, + min_length=1, + ) + seed: Optional[float] = Field( + 0, + description="A specific value that is used to guide the 'randomness' of the generation. (Omit this parameter or pass `0` to use a random seed.)", + ge=0.0, + le=4294967294.0, + ) + strength: Optional[float] = Field( + None, + description='Sometimes referred to as _denoising_, this parameter controls how much influence the\n`image` parameter has on the generated image. A value of 0 would yield an image that\nis identical to the input. A value of 1 would be as if you passed in no image at all.\n\n> **Important:** This parameter is only valid for **image-to-image** requests.', + ge=0.0, + le=1.0, + ) + style_preset: Optional[StylePreset] = Field( + None, description='Guides the image model towards a particular style.' + ) + + +class FinishReason(str, Enum): + SUCCESS = 'SUCCESS' + CONTENT_FILTERED = 'CONTENT_FILTERED' + + +class StabilityImageGenrationSD3Response200(BaseModel): + finish_reason: FinishReason = Field( + ..., + description='The reason the generation finished.\n\n- `SUCCESS` = successful generation.\n- `CONTENT_FILTERED` = successful generation, however the output violated our content moderation\npolicy and has been blurred as a result.', + examples=['SUCCESS'], + ) + image: str = Field( + ..., + description='The generated image, encoded to base64.', + examples=['AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1...'], + ) + seed: Optional[float] = Field( + 0, + description='The seed used as random noise for this generation.', + examples=[343940597], + ge=0.0, + le=4294967294.0, + ) + + +class StabilityImageGenrationSD3Response400(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationSD3Response413(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationSD3Response422(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationSD3Response429(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationSD3Response500(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class OutputFormat4(str, Enum): + jpeg = 'jpeg' + png = 'png' + webp = 'webp' + + +class StabilityImageGenrationUpscaleConservativeRequest(BaseModel): + creativity: Optional[StabilityCreativity] = Field( + default_factory=lambda: StabilityCreativity.model_validate(0.35) + ) + image: StrictBytes = Field( + ..., + description='The image you wish to upscale.\n\nSupported Formats:\n- jpeg\n- png\n- webp\n\nValidation Rules:\n- Every side must be at least 64 pixels\n- Total pixel count must be between 4,096 and 9,437,184 pixels\n- The aspect ratio must be between 1:2.5 and 2.5:1', + examples=['./some/image.png'], + ) + negative_prompt: Optional[str] = Field( + None, + description='A blurb of text describing what you **do not** wish to see in the output image.\nThis is an advanced feature.', + max_length=10000, + ) + output_format: Optional[OutputFormat4] = Field( + 'png', description='Dictates the `content-type` of the generated image.' + ) + prompt: str = Field( + ..., + description="What you wish to see in the output image. A strong, descriptive prompt that clearly defines\nelements, colors, and subjects will lead to better results.\n\nTo control the weight of a given word use the format `(word:weight)`,\nwhere `word` is the word you'd like to control the weight of and `weight`\nis a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)`\nwould convey a sky that was blue and green, but more green than blue.", + max_length=10000, + min_length=1, + ) + seed: Optional[float] = Field( + 0, + description="A specific value that is used to guide the 'randomness' of the generation. (Omit this parameter or pass `0` to use a random seed.)", + ge=0.0, + le=4294967294.0, + ) + + +class StabilityImageGenrationUpscaleConservativeResponse200(BaseModel): + finish_reason: FinishReason = Field( + ..., + description='The reason the generation finished.\n\n- `SUCCESS` = successful generation.\n- `CONTENT_FILTERED` = successful generation, however the output violated our content moderation\npolicy and has been blurred as a result.', + examples=['SUCCESS'], + ) + image: str = Field( + ..., + description='The generated image, encoded to base64.', + examples=['AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1...'], + ) + seed: Optional[float] = Field( + 0, + description='The seed used as random noise for this generation.', + examples=[343940597], + ge=0.0, + le=4294967294.0, + ) + + +class StabilityImageGenrationUpscaleConservativeResponse400(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleConservativeResponse413(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleConservativeResponse422(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleConservativeResponse429(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleConservativeResponse500(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleCreativeRequest(BaseModel): + creativity: Optional[float] = Field( + 0.3, + description='Indicates how creative the model should be when upscaling an image.\nHigher values will result in more details being added to the image during upscaling.', + ge=0.1, + le=0.5, + ) + image: StrictBytes = Field( + ..., + description='The image you wish to upscale.\n\nSupported Formats:\n- jpeg\n- png\n- webp\n\nValidation Rules:\n- Every side must be at least 64 pixels\n- Total pixel count must be between 4,096 and 1,048,576 pixels', + examples=['./some/image.png'], + ) + negative_prompt: Optional[str] = Field( + None, + description='A blurb of text describing what you **do not** wish to see in the output image.\nThis is an advanced feature.', + max_length=10000, + ) + output_format: Optional[OutputFormat4] = Field( + 'png', description='Dictates the `content-type` of the generated image.' + ) + prompt: str = Field( + ..., + description="What you wish to see in the output image. A strong, descriptive prompt that clearly defines\nelements, colors, and subjects will lead to better results.\n\nTo control the weight of a given word use the format `(word:weight)`,\nwhere `word` is the word you'd like to control the weight of and `weight`\nis a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)`\nwould convey a sky that was blue and green, but more green than blue.", + max_length=10000, + min_length=1, + ) + seed: Optional[float] = Field( + 0, + description="A specific value that is used to guide the 'randomness' of the generation. (Omit this parameter or pass `0` to use a random seed.)", + ge=0.0, + le=4294967294.0, + ) + style_preset: Optional[StylePreset] = Field( + None, description='Guides the image model towards a particular style.' + ) + + +class StabilityImageGenrationUpscaleCreativeResponse200(BaseModel): + id: StabilityGenerationID + + +class StabilityImageGenrationUpscaleCreativeResponse400(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleCreativeResponse413(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleCreativeResponse422(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleCreativeResponse429(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleCreativeResponse500(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleFastRequest(BaseModel): + image: StrictBytes = Field( + ..., + description='The image you wish to upscale.\n\nSupported Formats:\n- jpeg\n- png\n- webp\n\nValidation Rules:\n- Width must be between 32 and 1,536 pixels\n- Height must be between 32 and 1,536 pixels\n- Total pixel count must be between 1,024 and 1,048,576 pixels', + examples=['./some/image.png'], + ) + output_format: Optional[OutputFormat4] = Field( + 'png', description='Dictates the `content-type` of the generated image.' + ) + + +class StabilityImageGenrationUpscaleFastResponse200(BaseModel): + finish_reason: FinishReason = Field( + ..., + description='The reason the generation finished.\n\n- `SUCCESS` = successful generation.\n- `CONTENT_FILTERED` = successful generation, however the output violated our content moderation\npolicy and has been blurred as a result.', + examples=['SUCCESS'], + ) + image: str = Field( + ..., + description='The generated image, encoded to base64.', + examples=['AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1...'], + ) + seed: Optional[float] = Field( + 0, + description='The seed used as random noise for this generation.', + examples=[343940597], + ge=0.0, + le=4294967294.0, + ) + + +class StabilityImageGenrationUpscaleFastResponse400(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleFastResponse413(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleFastResponse422(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleFastResponse429(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityImageGenrationUpscaleFastResponse500(BaseModel): + errors: List[str] = Field( + ..., + description='One or more error messages indicating what went wrong.', + examples=[['some-field: is required']], + min_length=1, + ) + id: str = Field( + ..., + description='A unique identifier associated with this error. Please include this in any [support tickets](https://kb.stability.ai/knowledge-base/kb-tickets/new)\nyou file, as it will greatly assist us in diagnosing the root cause of the problem.', + examples=['a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'], + min_length=1, + ) + name: str = Field( + ..., + description='Short-hand name for an error, useful for discriminating between errors with the same status code.', + examples=['bad_request'], + min_length=1, + ) + + +class StabilityStabilityClientID(RootModel[str]): + root: str = Field( + ..., + description='The name of your application, used to help us communicate app-specific debugging or moderation issues to you.', + examples=['my-awesome-app'], + max_length=256, + ) + + +class StabilityStabilityClientUserID(RootModel[str]): + root: str = Field( + ..., + description='A unique identifier for your end user. Used to help us communicate user-specific debugging or moderation issues to you. Feel free to obfuscate this value to protect user privacy.', + examples=['DiscordUser#9999'], + max_length=256, + ) + + +class StabilityStabilityClientVersion(RootModel[str]): + root: str = Field( + ..., + description='The version of your application, used to help us communicate version-specific debugging or moderation issues to you.', + examples=['1.2.1'], + max_length=256, + ) + + +class StorageFile(BaseModel): + file_path: Optional[str] = Field(None, description='Path to the file in storage') + id: Optional[UUID] = Field( + None, description='Unique identifier for the storage file' + ) + public_url: Optional[str] = Field(None, description='Public URL') + + +class StripeAddress(BaseModel): + city: Optional[str] = None + country: Optional[str] = None + line1: Optional[str] = None + line2: Optional[str] = None + postal_code: Optional[str] = None + state: Optional[str] = None + + +class StripeAmountDetails(BaseModel): + tip: Optional[Dict[str, Any]] = None + + +class StripeBillingDetails(BaseModel): + address: Optional[StripeAddress] = None + email: Optional[str] = None + name: Optional[str] = None + phone: Optional[str] = None + tax_id: Optional[Any] = None + + +class Checks(BaseModel): + address_line1_check: Optional[Any] = None + address_postal_code_check: Optional[Any] = None + cvc_check: Optional[str] = None + + +class ExtendedAuthorization(BaseModel): + status: Optional[str] = None + + +class IncrementalAuthorization(BaseModel): + status: Optional[str] = None + + +class Multicapture(BaseModel): + status: Optional[str] = None + + +class NetworkToken(BaseModel): + used: Optional[bool] = None + + +class Overcapture(BaseModel): + maximum_amount_capturable: Optional[int] = None + status: Optional[str] = None + + +class StripeCardDetails(BaseModel): + amount_authorized: Optional[int] = None + authorization_code: Optional[Any] = None + brand: Optional[str] = None + checks: Optional[Checks] = None + country: Optional[str] = None + exp_month: Optional[int] = None + exp_year: Optional[int] = None + extended_authorization: Optional[ExtendedAuthorization] = None + fingerprint: Optional[str] = None + funding: Optional[str] = None + incremental_authorization: Optional[IncrementalAuthorization] = None + installments: Optional[Any] = None + last4: Optional[str] = None + mandate: Optional[Any] = None + multicapture: Optional[Multicapture] = None + network: Optional[str] = None + network_token: Optional[NetworkToken] = None + network_transaction_id: Optional[str] = None + overcapture: Optional[Overcapture] = None + regulated_status: Optional[str] = None + three_d_secure: Optional[Any] = None + wallet: Optional[Any] = None + + +class Object1(str, Enum): + charge = 'charge' + + +class Object2(str, Enum): + event = 'event' + + +class Type31(str, Enum): + payment_intent_succeeded = 'payment_intent.succeeded' + + +class StripeOutcome(BaseModel): + advice_code: Optional[Any] = None + network_advice_code: Optional[Any] = None + network_decline_code: Optional[Any] = None + network_status: Optional[str] = None + reason: Optional[Any] = None + risk_level: Optional[str] = None + risk_score: Optional[int] = None + seller_message: Optional[str] = None + type: Optional[str] = None + + +class Object3(str, Enum): + payment_intent = 'payment_intent' + + +class StripePaymentMethodDetails(BaseModel): + card: Optional[StripeCardDetails] = None + type: Optional[str] = None + + +class Card(BaseModel): + installments: Optional[Any] = None + mandate_options: Optional[Any] = None + network: Optional[Any] = None + request_three_d_secure: Optional[str] = None + + +class StripePaymentMethodOptions(BaseModel): + card: Optional[Card] = None + + +class StripeRefundList(BaseModel): + data: Optional[List[Dict[str, Any]]] = None + has_more: Optional[bool] = None + object: Optional[str] = None + total_count: Optional[int] = None + url: Optional[str] = None + + +class StripeRequestInfo(BaseModel): + id: Optional[str] = None + idempotency_key: Optional[str] = None + + +class StripeShipping(BaseModel): + address: Optional[StripeAddress] = None + carrier: Optional[str] = None + name: Optional[str] = None + phone: Optional[str] = None + tracking_number: Optional[str] = None + + +class Type32(str, Enum): + json_schema = 'json_schema' + + +class TextResponseFormatJsonSchema(BaseModel): + description: Optional[str] = Field( + None, + description='A description of what the response format is for, used by the model to\ndetermine how to respond in the format.\n', + ) + name: str = Field( + ..., + description='The name of the response format. Must be a-z, A-Z, 0-9, or contain\nunderscores and dashes, with a maximum length of 64.\n', + ) + schema_: ResponseFormatJsonSchemaSchema = Field(..., alias='schema') + strict: Optional[bool] = Field( + False, + description='Whether to enable strict schema adherence when generating the output.\nIf set to true, the model will always follow the exact schema defined\nin the `schema` field. Only a subset of JSON Schema is supported when\n`strict` is `true`. To learn more, read the [Structured Outputs\nguide](/docs/guides/structured-outputs).\n', + ) + type: Type32 = Field( + ..., + description='The type of response format being defined. Always `json_schema`.', + ) + + +class Type33(str, Enum): + function = 'function' + + +class ToolChoiceFunction(BaseModel): + name: str = Field(..., description='The name of the function to call.') + type: Type33 = Field( + ..., description='For function calling, the type is always `function`.' + ) + + +class ToolChoiceOptions(str, Enum): + none = 'none' + auto = 'auto' + required = 'required' + + +class Type34(str, Enum): + file_search = 'file_search' + web_search_preview = 'web_search_preview' + computer_use_preview = 'computer_use_preview' + web_search_preview_2025_03_11 = 'web_search_preview_2025_03_11' + + +class ToolChoiceTypes(BaseModel): + type: Type34 = Field( + ..., + description='The type of hosted tool the model should to use. Learn more about\n[built-in tools](/docs/guides/tools).\n\nAllowed values are:\n- `file_search`\n- `web_search_preview`\n- `computer_use_preview`\n', + ) + + +class TripoAnimation(str, Enum): + preset_idle = 'preset:idle' + preset_walk = 'preset:walk' + preset_climb = 'preset:climb' + preset_jump = 'preset:jump' + preset_run = 'preset:run' + preset_slash = 'preset:slash' + preset_shoot = 'preset:shoot' + preset_hurt = 'preset:hurt' + preset_fall = 'preset:fall' + preset_turn = 'preset:turn' + + +class TripoBalance(BaseModel): + balance: float + frozen: float + + +class TripoConvertFormat(str, Enum): + GLTF = 'GLTF' + USDZ = 'USDZ' + FBX = 'FBX' + OBJ = 'OBJ' + STL = 'STL' + field_3MF = '3MF' + + +class Code(int, Enum): + integer_1001 = 1001 + integer_2000 = 2000 + integer_2001 = 2001 + integer_2002 = 2002 + integer_2003 = 2003 + integer_2004 = 2004 + integer_2006 = 2006 + integer_2007 = 2007 + integer_2008 = 2008 + integer_2010 = 2010 + + +class TripoErrorResponse(BaseModel): + code: Code + message: str + suggestion: str + + +class TripoImageToModel(str, Enum): + image_to_model = 'image_to_model' + + +class TripoModelStyle(str, Enum): + person_person2cartoon = 'person:person2cartoon' + animal_venom = 'animal:venom' + object_clay = 'object:clay' + object_steampunk = 'object:steampunk' + object_christmas = 'object:christmas' + object_barbie = 'object:barbie' + gold = 'gold' + ancient_bronze = 'ancient_bronze' + + +class TripoModelVersion(str, Enum): + v2_5_20250123 = 'v2.5-20250123' + v2_0_20240919 = 'v2.0-20240919' + v1_4_20240625 = 'v1.4-20240625' + + +class TripoMultiviewMode(str, Enum): + LEFT = 'LEFT' + RIGHT = 'RIGHT' + + +class TripoMultiviewToModel(str, Enum): + multiview_to_model = 'multiview_to_model' + + +class TripoOrientation(str, Enum): + align_image = 'align_image' + default = 'default' + + +class TripoResponseSuccessCode(RootModel[int]): + root: int = Field( + ..., + description='Standard success code for Tripo API responses. Typically 0 for success.', + examples=[0], + ) + + +class TripoSpec(str, Enum): + mixamo = 'mixamo' + tripo = 'tripo' + + +class TripoStandardFormat(str, Enum): + glb = 'glb' + fbx = 'fbx' + + +class TripoStylizeOptions(str, Enum): + lego = 'lego' + voxel = 'voxel' + voronoi = 'voronoi' + minecraft = 'minecraft' + + +class Code1(int, Enum): + integer_0 = 0 + + +class Data9(BaseModel): + task_id: str = Field(..., description='used for getTask') + + +class TripoSuccessTask(BaseModel): + code: Code1 + data: Data9 + + +class Topology(str, Enum): + bip = 'bip' + quad = 'quad' + + +class Output(BaseModel): + base_model: Optional[str] = None + model: Optional[str] = None + pbr_model: Optional[str] = None + rendered_image: Optional[str] = None + riggable: Optional[bool] = None + topology: Optional[Topology] = None + + +class Status11(str, Enum): + queued = 'queued' + running = 'running' + success = 'success' + failed = 'failed' + cancelled = 'cancelled' + unknown = 'unknown' + banned = 'banned' + expired = 'expired' + + +class TripoTask(BaseModel): + create_time: int + input: Dict[str, Any] + output: Output + progress: int = Field(..., ge=0, le=100) + status: Status11 + task_id: str + type: str + + +class TripoTextToModel(str, Enum): + text_to_model = 'text_to_model' + + +class TripoTextureAlignment(str, Enum): + original_image = 'original_image' + geometry = 'geometry' + + +class TripoTextureFormat(str, Enum): + BMP = 'BMP' + DPX = 'DPX' + HDR = 'HDR' + JPEG = 'JPEG' + OPEN_EXR = 'OPEN_EXR' + PNG = 'PNG' + TARGA = 'TARGA' + TIFF = 'TIFF' + WEBP = 'WEBP' + + +class TripoTextureQuality(str, Enum): + standard = 'standard' + detailed = 'detailed' + + +class TripoTopology(str, Enum): + bip = 'bip' + quad = 'quad' + + +class TripoTypeAnimatePrerigcheck(str, Enum): + animate_prerigcheck = 'animate_prerigcheck' + + +class TripoTypeAnimateRetarget(str, Enum): + animate_retarget = 'animate_retarget' + + +class TripoTypeAnimateRig(str, Enum): + animate_rig = 'animate_rig' + + +class TripoTypeConvertModel(str, Enum): + convert_model = 'convert_model' + + +class TripoTypeRefineModel(str, Enum): + refine_model = 'refine_model' + + +class TripoTypeStylizeModel(str, Enum): + stylize_model = 'stylize_model' + + +class TripoTypeTextureModel(str, Enum): + texture_model = 'texture_model' + + +class User(BaseModel): + email: Optional[str] = Field(None, description='The email address for this user.') + id: Optional[str] = Field(None, description='The unique id for this user.') + isAdmin: Optional[bool] = Field( + None, description='Indicates if the user has admin privileges.' + ) + isApproved: Optional[bool] = Field( + None, description='Indicates if the user is approved.' + ) + name: Optional[str] = Field(None, description='The name for this user.') + + +class Veo2GenVidPollRequest(BaseModel): + operationName: str = Field( + ..., + description='Full operation name (from predict response)', + examples=[ + 'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/OPERATION_ID' + ], + ) + + +class Error1(BaseModel): + code: Optional[int] = Field(None, description='Error code') + message: Optional[str] = Field(None, description='Error message') + + +class Video(BaseModel): + bytesBase64Encoded: Optional[str] = Field( + None, description='Base64-encoded video content' + ) + gcsUri: Optional[str] = Field(None, description='Cloud Storage URI of the video') + mimeType: Optional[str] = Field(None, description='Video MIME type') + + +class Response(BaseModel): + field_type: Optional[str] = Field( + None, + alias='@type', + examples=[ + 'type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse' + ], + ) + raiMediaFilteredCount: Optional[int] = Field( + None, description='Count of media filtered by responsible AI policies' + ) + raiMediaFilteredReasons: Optional[List[str]] = Field( + None, description='Reasons why media was filtered by responsible AI policies' + ) + videos: Optional[List[Video]] = None + + +class Veo2GenVidPollResponse(BaseModel): + done: Optional[bool] = None + error: Optional[Error1] = Field( + None, description='Error details if operation failed' + ) + name: Optional[str] = None + response: Optional[Response] = Field( + None, description='The actual prediction response if done is true' + ) + + +class Image(BaseModel): + bytesBase64Encoded: str + gcsUri: Optional[str] = None + mimeType: Optional[str] = None + + +class Image1(BaseModel): + bytesBase64Encoded: Optional[str] = None + gcsUri: str + mimeType: Optional[str] = None + + +class Instance(BaseModel): + image: Optional[Union[Image, Image1]] = Field( + None, description='Optional image to guide video generation' + ) + prompt: str = Field(..., description='Text description of the video') + + +class PersonGeneration1(str, Enum): + ALLOW = 'ALLOW' + BLOCK = 'BLOCK' + + +class Parameters(BaseModel): + aspectRatio: Optional[str] = Field(None, examples=['16:9']) + durationSeconds: Optional[int] = None + enhancePrompt: Optional[bool] = None + negativePrompt: Optional[str] = None + personGeneration: Optional[PersonGeneration1] = None + sampleCount: Optional[int] = None + seed: Optional[int] = None + storageUri: Optional[str] = Field( + None, description='Optional Cloud Storage URI to upload the video' + ) + + +class Veo2GenVidRequest(BaseModel): + instances: Optional[List[Instance]] = None + parameters: Optional[Parameters] = None + + +class Veo2GenVidResponse(BaseModel): + name: str = Field( + ..., + description='Operation resource name', + examples=[ + 'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8' + ], + ) + + +class VeoGenVidPollRequest(BaseModel): + operationName: str = Field( + ..., + description='Full operation name (from predict response)', + examples=[ + 'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/OPERATION_ID' + ], + ) + + +class Response1(BaseModel): + field_type: Optional[str] = Field( + None, + alias='@type', + examples=[ + 'type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse' + ], + ) + raiMediaFilteredCount: Optional[int] = Field( + None, description='Count of media filtered by responsible AI policies' + ) + raiMediaFilteredReasons: Optional[List[str]] = Field( + None, description='Reasons why media was filtered by responsible AI policies' + ) + videos: Optional[List[Video]] = None + + +class VeoGenVidPollResponse(BaseModel): + done: Optional[bool] = None + error: Optional[Error1] = Field( + None, description='Error details if operation failed' + ) + name: Optional[str] = None + response: Optional[Response1] = Field( + None, description='The actual prediction response if done is true' + ) + + +class Image2(BaseModel): + bytesBase64Encoded: str + gcsUri: Optional[str] = None + mimeType: Optional[str] = None + + +class Image3(BaseModel): + bytesBase64Encoded: Optional[str] = None + gcsUri: str + mimeType: Optional[str] = None + + +class Instance1(BaseModel): + image: Optional[Union[Image2, Image3]] = Field( + None, description='Optional image to guide video generation' + ) + prompt: str = Field(..., description='Text description of the video') + + +class Parameters1(BaseModel): + aspectRatio: Optional[str] = Field(None, examples=['16:9']) + durationSeconds: Optional[int] = None + enhancePrompt: Optional[bool] = None + generateAudio: Optional[bool] = Field( + None, + description='Generate audio for the video. Only supported by veo 3 models.', + ) + negativePrompt: Optional[str] = None + personGeneration: Optional[PersonGeneration1] = None + sampleCount: Optional[int] = None + seed: Optional[int] = None + storageUri: Optional[str] = Field( + None, description='Optional Cloud Storage URI to upload the video' + ) + + +class VeoGenVidRequest(BaseModel): + instances: Optional[List[Instance1]] = None + parameters: Optional[Parameters1] = None + + +class VeoGenVidResponse(BaseModel): + name: str = Field( + ..., + description='Operation resource name', + examples=[ + 'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8' + ], + ) + + +class SearchContextSize(str, Enum): + low = 'low' + medium = 'medium' + high = 'high' + + +class Type35(str, Enum): + web_search_preview = 'web_search_preview' + web_search_preview_2025_03_11 = 'web_search_preview_2025_03_11' + + +class WebSearchPreviewTool(BaseModel): + search_context_size: Optional[SearchContextSize] = Field( + None, + description='High level guidance for the amount of context window space to use for the search. One of `low`, `medium`, or `high`. `medium` is the default.', + ) + type: Literal['WebSearchPreviewTool'] = Field( + ..., + description='The type of the web search tool. One of `web_search_preview` or `web_search_preview_2025_03_11`.', + ) + + +class Status12(str, Enum): + in_progress = 'in_progress' + searching = 'searching' + completed = 'completed' + failed = 'failed' + + +class Type36(str, Enum): + web_search_call = 'web_search_call' + + +class WebSearchToolCall(BaseModel): + id: str = Field(..., description='The unique ID of the web search tool call.\n') + status: Status12 = Field( + ..., description='The status of the web search tool call.\n' + ) + type: Type36 = Field( + ..., + description='The type of the web search tool call. Always `web_search_call`.\n', + ) + + +class WorkflowRunStatus(str, Enum): + WorkflowRunStatusStarted = 'WorkflowRunStatusStarted' + WorkflowRunStatusFailed = 'WorkflowRunStatusFailed' + WorkflowRunStatusCompleted = 'WorkflowRunStatusCompleted' + + +class ActionJobResult(BaseModel): + action_job_id: Optional[str] = Field( + None, description='Identifier of the job this result belongs to' + ) + action_run_id: Optional[str] = Field( + None, description='Identifier of the run this result belongs to' + ) + author: Optional[str] = Field(None, description='The author of the commit') + avg_vram: Optional[int] = Field( + None, description='The average VRAM used by the job' + ) + branch_name: Optional[str] = Field( + None, description='Name of the relevant git branch' + ) + comfy_run_flags: Optional[str] = Field( + None, description='The comfy run flags. E.g. `--low-vram`' + ) + commit_hash: Optional[str] = Field(None, description='The hash of the commit') + commit_id: Optional[str] = Field(None, description='The ID of the commit') + commit_message: Optional[str] = Field(None, description='The message of the commit') + commit_time: Optional[int] = Field( + None, description='The Unix timestamp when the commit was made' + ) + cuda_version: Optional[str] = Field(None, description='CUDA version used') + end_time: Optional[int] = Field( + None, description='The end time of the job as a Unix timestamp.' + ) + git_repo: Optional[str] = Field(None, description='The repository name') + id: Optional[UUID] = Field(None, description='Unique identifier for the job result') + job_trigger_user: Optional[str] = Field( + None, description='The user who triggered the job.' + ) + machine_stats: Optional[MachineStats] = None + operating_system: Optional[str] = Field(None, description='Operating system used') + peak_vram: Optional[int] = Field(None, description='The peak VRAM used by the job') + pr_number: Optional[str] = Field(None, description='The pull request number') + python_version: Optional[str] = Field(None, description='PyTorch version used') + pytorch_version: Optional[str] = Field(None, description='PyTorch version used') + start_time: Optional[int] = Field( + None, description='The start time of the job as a Unix timestamp.' + ) + status: Optional[WorkflowRunStatus] = None + storage_file: Optional[StorageFile] = None + workflow_name: Optional[str] = Field(None, description='Name of the workflow') + + +class BFLCannyInputs(BaseModel): + canny_high_threshold: Optional[CannyHighThreshold] = Field( + default_factory=lambda: CannyHighThreshold.model_validate(200), + description='High threshold for Canny edge detection', + title='Canny High Threshold', + ) + canny_low_threshold: Optional[CannyLowThreshold] = Field( + default_factory=lambda: CannyLowThreshold.model_validate(50), + description='Low threshold for Canny edge detection', + title='Canny Low Threshold', + ) + control_image: Optional[str] = Field( + None, + description='Base64 encoded image to use as control input if no preprocessed image is provided', + title='Control Image', + ) + guidance: Optional[Guidance] = Field( + default_factory=lambda: Guidance.model_validate(30), + description='Guidance strength for the image generation process', + title='Guidance', + ) + output_format: Optional[BFLOutputFormat] = Field( + 'jpeg', + description="Output format for the generated image. Can be 'jpeg' or 'png'.", + ) + preprocessed_image: Optional[str] = Field( + None, + description='Optional pre-processed image that will bypass the control preprocessing step', + title='Preprocessed Image', + ) + prompt: str = Field( + ..., + description='Text prompt for image generation', + examples=['ein fantastisches bild'], + title='Prompt', + ) + prompt_upsampling: Optional[bool] = Field( + False, + description='Whether to perform upsampling on the prompt', + title='Prompt Upsampling', + ) + safety_tolerance: Optional[int] = Field( + 2, + description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.', + ge=0, + le=6, + title='Safety Tolerance', + ) + seed: Optional[int] = Field( + None, + description='Optional seed for reproducibility', + examples=[42], + title='Seed', + ) + steps: Optional[Steps] = Field( + default_factory=lambda: Steps.model_validate(50), + description='Number of steps for the image generation process', + title='Steps', + ) + webhook_secret: Optional[str] = Field( + None, + description='Optional secret for webhook signature verification', + title='Webhook Secret', + ) + webhook_url: Optional[WebhookUrl] = Field( + None, description='URL to receive webhook notifications', title='Webhook Url' + ) + + +class BFLDepthInputs(BaseModel): + control_image: Optional[str] = Field( + None, + description='Base64 encoded image to use as control input', + title='Control Image', + ) + guidance: Optional[Guidance] = Field( + default_factory=lambda: Guidance.model_validate(15), + description='Guidance strength for the image generation process', + title='Guidance', + ) + output_format: Optional[BFLOutputFormat] = Field( + 'jpeg', + description="Output format for the generated image. Can be 'jpeg' or 'png'.", + ) + preprocessed_image: Optional[str] = Field( + None, + description='Optional pre-processed image that will bypass the control preprocessing step', + title='Preprocessed Image', + ) + prompt: str = Field( + ..., + description='Text prompt for image generation', + examples=['ein fantastisches bild'], + title='Prompt', + ) + prompt_upsampling: Optional[bool] = Field( + False, + description='Whether to perform upsampling on the prompt', + title='Prompt Upsampling', + ) + safety_tolerance: Optional[int] = Field( + 2, + description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.', + ge=0, + le=6, + title='Safety Tolerance', + ) + seed: Optional[int] = Field( + None, + description='Optional seed for reproducibility', + examples=[42], + title='Seed', + ) + steps: Optional[Steps] = Field( + default_factory=lambda: Steps.model_validate(50), + description='Number of steps for the image generation process', + title='Steps', + ) + webhook_secret: Optional[str] = Field( + None, + description='Optional secret for webhook signature verification', + title='Webhook Secret', + ) + webhook_url: Optional[WebhookUrl] = Field( + None, description='URL to receive webhook notifications', title='Webhook Url' + ) + + +class BFLFluxProExpandInputs(BaseModel): + bottom: Optional[Bottom] = Field( + 0, + description='Number of pixels to expand at the bottom of the image', + title='Bottom', + ) + guidance: Optional[Guidance2] = Field( + default_factory=lambda: Guidance2.model_validate(60), + description='Guidance strength for the image generation process', + title='Guidance', + ) + image: str = Field( + ..., + description='A Base64-encoded string representing the image you wish to expand.', + title='Image', + ) + left: Optional[Left] = Field( + 0, + description='Number of pixels to expand on the left side of the image', + title='Left', + ) + output_format: Optional[BFLOutputFormat] = Field( + 'jpeg', + description="Output format for the generated image. Can be 'jpeg' or 'png'.", + ) + prompt: Optional[str] = Field( + '', + description='The description of the changes you want to make. This text guides the expansion process, allowing you to specify features, styles, or modifications for the expanded areas.', + examples=['ein fantastisches bild'], + title='Prompt', + ) + prompt_upsampling: Optional[bool] = Field( + False, + description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation', + title='Prompt Upsampling', + ) + right: Optional[Right] = Field( + 0, + description='Number of pixels to expand on the right side of the image', + title='Right', + ) + safety_tolerance: Optional[int] = Field( + 2, + description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.', + examples=[2], + ge=0, + le=6, + title='Safety Tolerance', + ) + seed: Optional[int] = Field( + None, description='Optional seed for reproducibility', title='Seed' + ) + steps: Optional[Steps2] = Field( + default_factory=lambda: Steps2.model_validate(50), + description='Number of steps for the image generation process', + examples=[50], + title='Steps', + ) + top: Optional[Top] = Field( + 0, description='Number of pixels to expand at the top of the image', title='Top' + ) + webhook_secret: Optional[str] = Field( + None, + description='Optional secret for webhook signature verification', + title='Webhook Secret', + ) + webhook_url: Optional[WebhookUrl] = Field( + None, description='URL to receive webhook notifications', title='Webhook Url' + ) + + +class BFLFluxProFillInputs(BaseModel): + guidance: Optional[Guidance2] = Field( + default_factory=lambda: Guidance2.model_validate(60), + description='Guidance strength for the image generation process', + title='Guidance', + ) + image: str = Field( + ..., + description='A Base64-encoded string representing the image you wish to modify. Can contain alpha mask if desired.', + title='Image', + ) + mask: Optional[str] = Field( + None, + description='A Base64-encoded string representing a mask for the areas you want to modify in the image. The mask should be the same dimensions as the image and in black and white. Black areas (0%) indicate no modification, while white areas (100%) specify areas for inpainting. Optional if you provide an alpha mask in the original image. Validation: The endpoint verifies that the dimensions of the mask match the original image.', + title='Mask', + ) + output_format: Optional[BFLOutputFormat] = Field( + 'jpeg', + description="Output format for the generated image. Can be 'jpeg' or 'png'.", + ) + prompt: Optional[str] = Field( + '', + description='The description of the changes you want to make. This text guides the inpainting process, allowing you to specify features, styles, or modifications for the masked area.', + examples=['ein fantastisches bild'], + title='Prompt', + ) + prompt_upsampling: Optional[bool] = Field( + False, + description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation', + title='Prompt Upsampling', + ) + safety_tolerance: Optional[int] = Field( + 2, + description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.', + examples=[2], + ge=0, + le=6, + title='Safety Tolerance', + ) + seed: Optional[int] = Field( + None, description='Optional seed for reproducibility', title='Seed' + ) + steps: Optional[Steps2] = Field( + default_factory=lambda: Steps2.model_validate(50), + description='Number of steps for the image generation process', + examples=[50], + title='Steps', + ) + webhook_secret: Optional[str] = Field( + None, + description='Optional secret for webhook signature verification', + title='Webhook Secret', + ) + webhook_url: Optional[WebhookUrl] = Field( + None, description='URL to receive webhook notifications', title='Webhook Url' + ) + + +class BFLHTTPValidationError(BaseModel): + detail: Optional[List[BFLValidationError]] = Field(None, title='Detail') + + +class BulkNodeVersionsRequest(BaseModel): + node_versions: List[NodeVersionIdentifier] = Field( + ..., description='List of node ID and version pairs to retrieve' + ) + + +CreateModelResponseProperties = ModelResponseProperties + + +class GeminiInlineData(BaseModel): + data: Optional[str] = Field( + None, + description='The base64 encoding of the image, PDF, or video to include inline in the prompt. When including media inline, you must also specify the media type (mimeType) of the data. Size limit: 20MB\n', + ) + mimeType: Optional[GeminiMimeType] = None + + +class GeminiPart(BaseModel): + inlineData: Optional[GeminiInlineData] = None + text: Optional[str] = Field( + None, + description='A text prompt or code snippet.', + examples=['Write a story about a robot learning to paint'], + ) + + +class GeminiPromptFeedback(BaseModel): + blockReason: Optional[str] = None + blockReasonMessage: Optional[str] = None + safetyRatings: Optional[List[GeminiSafetyRating]] = None + + +class GeminiSafetySetting(BaseModel): + category: GeminiSafetyCategory + threshold: GeminiSafetyThreshold + + +class GeminiSystemInstructionContent(BaseModel): + parts: List[GeminiTextPart] = Field( + ..., + description='A list of ordered parts that make up a single message. Different parts may have different IANA MIME types. For limits on the inputs, such as the maximum number of tokens or the number of images, see the model specifications on the Google models page.\n', + ) + role: Role1 = Field( + ..., + description='The identity of the entity that creates the message. The following values are supported: user: This indicates that the message is sent by a real person, typically a user-generated message. model: This indicates that the message is generated by the model. The model value is used to insert messages from the model into the conversation during multi-turn conversations. For non-multi-turn conversations, this field can be left blank or unset.\n', + examples=['user'], + ) + + +class GeminiUsageMetadata(BaseModel): + cachedContentTokenCount: Optional[int] = Field( + None, + description='Output only. Number of tokens in the cached part in the input (the cached content).', + ) + candidatesTokenCount: Optional[int] = Field( + None, description='Number of tokens in the response(s).' + ) + candidatesTokensDetails: Optional[List[ModalityTokenCount]] = Field( + None, description='Breakdown of candidate tokens by modality.' + ) + promptTokenCount: Optional[int] = Field( + None, + description='Number of tokens in the request. When cachedContent is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.', + ) + promptTokensDetails: Optional[List[ModalityTokenCount]] = Field( + None, description='Breakdown of prompt tokens by modality.' + ) + thoughtsTokenCount: Optional[int] = Field( + None, description='Number of tokens present in thoughts output.' + ) + toolUsePromptTokenCount: Optional[int] = Field( + None, description='Number of tokens present in tool-use prompt(s).' + ) + + +class GithubInstallation(BaseModel): + access_tokens_url: str = Field(..., description='The API URL for access tokens') + account: GithubUser + app_id: int = Field(..., description='The GitHub App ID') + created_at: datetime = Field(..., description='When the installation was created') + events: List[str] = Field( + ..., description='The events the installation subscribes to' + ) + html_url: str = Field(..., description='The HTML URL of the installation') + id: int = Field(..., description='The installation ID') + permissions: Dict[str, Any] = Field(..., description='The installation permissions') + repositories_url: str = Field(..., description='The API URL for repositories') + repository_selection: RepositorySelection = Field( + ..., description='Repository selection for the installation' + ) + single_file_name: Optional[str] = Field( + None, description='The single file name if applicable' + ) + target_id: int = Field(..., description='The target ID') + target_type: str = Field(..., description='The target type') + updated_at: datetime = Field( + ..., description='When the installation was last updated' + ) + + +class GithubReleaseAsset(BaseModel): + browser_download_url: str = Field(..., description='The browser download URL') + content_type: str = Field(..., description='The content type of the asset') + created_at: datetime = Field(..., description='When the asset was created') + download_count: int = Field(..., description='The number of downloads') + id: int = Field(..., description='The asset ID') + label: Optional[str] = Field(None, description='The label of the asset') + name: str = Field(..., description='The name of the asset') + node_id: str = Field(..., description='The asset node ID') + size: int = Field(..., description='The size of the asset in bytes') + state: State = Field(..., description='The state of the asset') + updated_at: datetime = Field(..., description='When the asset was last updated') + uploader: GithubUser + + +class Release(BaseModel): + assets: List[GithubReleaseAsset] = Field(..., description='Array of release assets') + assets_url: Optional[str] = Field(None, description='The URL to the release assets') + author: GithubUser + body: Optional[str] = Field(None, description='The release notes/body') + created_at: datetime = Field(..., description='When the release was created') + draft: bool = Field(..., description='Whether the release is a draft') + html_url: str = Field(..., description='The HTML URL of the release') + id: int = Field(..., description='The ID of the release') + name: Optional[str] = Field(None, description='The name of the release') + node_id: str = Field(..., description='The node ID of the release') + prerelease: bool = Field(..., description='Whether the release is a prerelease') + published_at: Optional[datetime] = Field( + None, description='When the release was published' + ) + tag_name: str = Field(..., description='The tag name of the release') + tarball_url: str = Field(..., description='URL to the tarball') + target_commitish: str = Field( + ..., description='The branch or commit the release was created from' + ) + upload_url: Optional[str] = Field( + None, description='The URL to upload release assets' + ) + url: str = Field(..., description='The API URL of the release') + zipball_url: str = Field(..., description='URL to the zipball') + + +class GithubRepository(BaseModel): + clone_url: str = Field(..., description='The clone URL of the repository') + created_at: datetime = Field(..., description='When the repository was created') + default_branch: str = Field(..., description='The default branch of the repository') + description: Optional[str] = Field(None, description='The repository description') + fork: bool = Field(..., description='Whether the repository is a fork') + full_name: str = Field( + ..., description='The full name of the repository (owner/repo)' + ) + git_url: str = Field(..., description='The git URL of the repository') + html_url: str = Field(..., description='The HTML URL of the repository') + id: int = Field(..., description='The repository ID') + name: str = Field(..., description='The name of the repository') + node_id: str = Field(..., description='The repository node ID') + owner: GithubUser + private: bool = Field(..., description='Whether the repository is private') + pushed_at: datetime = Field( + ..., description='When the repository was last pushed to' + ) + ssh_url: str = Field(..., description='The SSH URL of the repository') + updated_at: datetime = Field( + ..., description='When the repository was last updated' + ) + url: str = Field(..., description='The API URL of the repository') + + +class IdeogramV3EditRequest(BaseModel): + color_palette: Optional[IdeogramColorPalette] = None + image: Optional[StrictBytes] = Field( + None, + description='The image being edited (max size 10MB); only JPEG, WebP and PNG formats are supported at this time.', + ) + magic_prompt: Optional[str] = Field( + None, + description='Determine if MagicPrompt should be used in generating the request or not.', + ) + mask: Optional[StrictBytes] = Field( + None, + description='A black and white image of the same size as the image being edited (max size 10MB). Black regions in the mask should match up with the regions of the image that you would like to edit; only JPEG, WebP and PNG formats are supported at this time.', + ) + num_images: Optional[int] = Field( + None, description='The number of images to generate.' + ) + prompt: str = Field( + ..., description='The prompt used to describe the edited result.' + ) + rendering_speed: RenderingSpeed + seed: Optional[int] = Field( + None, description='Random seed. Set for reproducible generation.' + ) + style_codes: Optional[List[StyleCode]] = Field( + None, + description='A list of 8 character hexadecimal codes representing the style of the image. Cannot be used in conjunction with style_reference_images or style_type.', + ) + style_reference_images: Optional[List[StrictBytes]] = Field( + None, + description='A set of images to use as style references (maximum total size 10MB across all style references). The images should be in JPEG, PNG or WebP format.', + ) + character_reference_images: Optional[List[str]] = Field( + None, + description='Generations with character reference are subject to the character reference pricing. A set of images to use as character references (maximum total size 10MB across all character references), currently only supports 1 character reference image. The images should be in JPEG, PNG or WebP format.' + ) + character_reference_images_mask: Optional[List[str]] = Field( + None, + description='Optional masks for character reference images. When provided, must match the number of character_reference_images. Each mask should be a grayscale image of the same dimensions as the corresponding character reference image. The images should be in JPEG, PNG or WebP format.' + ) + + +class IdeogramV3Request(BaseModel): + aspect_ratio: Optional[str] = Field( + None, description='Aspect ratio in format WxH', examples=['1x3'] + ) + color_palette: Optional[ColorPalette] = None + magic_prompt: Optional[MagicPrompt2] = Field( + None, description='Whether to enable magic prompt enhancement' + ) + negative_prompt: Optional[str] = Field( + None, description='Text prompt specifying what to avoid in the generation' + ) + num_images: Optional[int] = Field( + None, description='Number of images to generate', ge=1 + ) + prompt: str = Field(..., description='The text prompt for image generation') + rendering_speed: RenderingSpeed + resolution: Optional[str] = Field( + None, description='Image resolution in format WxH', examples=['1280x800'] + ) + seed: Optional[int] = Field( + None, description='Seed value for reproducible generation' + ) + style_codes: Optional[List[StyleCode]] = Field( + None, description='Array of style codes in hexadecimal format' + ) + style_reference_images: Optional[List[str]] = Field( + None, description='Array of reference image URLs or identifiers' + ) + style_type: Optional[StyleType1] = Field( + None, description='The type of style to apply' + ) + character_reference_images: Optional[List[str]] = Field( + None, + description='Generations with character reference are subject to the character reference pricing. A set of images to use as character references (maximum total size 10MB across all character references), currently only supports 1 character reference image. The images should be in JPEG, PNG or WebP format.' + ) + character_reference_images_mask: Optional[List[str]] = Field( + None, + description='Optional masks for character reference images. When provided, must match the number of character_reference_images. Each mask should be a grayscale image of the same dimensions as the corresponding character reference image. The images should be in JPEG, PNG or WebP format.' + ) + + +class ImagenGenerateImageResponse(BaseModel): + predictions: Optional[List[ImagenImagePrediction]] = None + + +class ImagenImageGenerationParameters(BaseModel): + addWatermark: Optional[bool] = None + aspectRatio: Optional[AspectRatio] = None + enhancePrompt: Optional[bool] = None + includeRaiReason: Optional[bool] = None + includeSafetyAttributes: Optional[bool] = None + outputOptions: Optional[ImagenOutputOptions] = None + personGeneration: Optional[PersonGeneration] = None + safetySetting: Optional[SafetySetting] = None + sampleCount: Optional[int] = Field(None, ge=1, le=4) + seed: Optional[int] = None + storageUri: Optional[AnyUrl] = None + + +class InputContent( + RootModel[Union[InputTextContent, InputImageContent, InputFileContent]] +): + root: Union[InputTextContent, InputImageContent, InputFileContent] + + +class InputMessageContentList(RootModel[List[InputContent]]): + root: List[InputContent] = Field( + ..., + description='A list of one or many input items to the model, containing different content \ntypes.\n', + title='Input item content list', + ) + + +class KlingCameraControl(BaseModel): + config: Optional[KlingCameraConfig] = None + type: Optional[KlingCameraControlType] = None + + +class KlingDualCharacterEffectInput(BaseModel): + duration: KlingVideoGenDuration + images: KlingDualCharacterImages + mode: Optional[KlingVideoGenMode] = 'std' + model_name: Optional[KlingCharacterEffectModelName] = 'kling-v1' + + +class KlingImage2VideoRequest(BaseModel): + aspect_ratio: Optional[KlingVideoGenAspectRatio] = '16:9' + callback_url: Optional[AnyUrl] = Field( + None, + description='The callback notification address. Server will notify when the task status changes.', + ) + camera_control: Optional[KlingCameraControl] = None + cfg_scale: Optional[KlingVideoGenCfgScale] = Field( + default_factory=lambda: KlingVideoGenCfgScale.model_validate(0.5) + ) + duration: Optional[KlingVideoGenDuration] = '5' + dynamic_masks: Optional[List[DynamicMask]] = Field( + None, + description='Dynamic Brush Configuration List (up to 6 groups). For 5-second videos, trajectory length must not exceed 77 coordinates.', + ) + external_task_id: Optional[str] = Field( + None, + description='Customized Task ID. Must be unique within a single user account.', + ) + image: Optional[str] = Field( + None, + description='Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix.', + ) + image_tail: Optional[str] = Field( + None, + description='Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix.', + ) + mode: Optional[KlingVideoGenMode] = 'std' + model_name: Optional[KlingVideoGenModelName] = 'kling-v2-master' + negative_prompt: Optional[str] = Field( + None, description='Negative text prompt', max_length=2500 + ) + prompt: Optional[str] = Field( + None, description='Positive text prompt', max_length=2500 + ) + static_mask: Optional[str] = Field( + None, + description='Static Brush Application Area (Mask image created by users using the motion brush). The aspect ratio must match the input image.', + ) + + +class TaskResult(BaseModel): + videos: Optional[List[KlingVideoResult]] = None + + +class Data(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_info: Optional[TaskInfo] = None + task_result: Optional[TaskResult] = None + task_status: Optional[KlingTaskStatus] = None + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingImage2VideoResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class TaskResult1(BaseModel): + images: Optional[List[KlingImageResult]] = None + + +class Data1(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_result: Optional[TaskResult1] = None + task_status: Optional[KlingTaskStatus] = None + task_status_msg: Optional[str] = Field(None, description='Task status information') + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingImageGenerationsResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data1] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class KlingLipSyncInputObject(BaseModel): + audio_file: Optional[str] = Field( + None, + description='Local Path of Audio File. Supported formats: .mp3/.wav/.m4a/.aac, maximum file size of 5MB. Base64 code.', + ) + audio_type: Optional[KlingAudioUploadType] = None + audio_url: Optional[str] = Field( + None, + description='Audio File Download URL. Supported formats: .mp3/.wav/.m4a/.aac, maximum file size of 5MB.', + ) + mode: KlingLipSyncMode + text: Optional[str] = Field( + None, + description='Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters.', + ) + video_id: Optional[str] = Field( + None, + description='The ID of the video generated by Kling AI. Only supports 5-second and 10-second videos generated within the last 30 days.', + ) + video_url: Optional[str] = Field( + None, + description='Get link for uploaded video. Video files support .mp4/.mov, file size does not exceed 100MB, video length between 2-10s.', + ) + voice_id: Optional[str] = Field( + None, + description='Voice ID. Required when mode is text2video. The system offers a variety of voice options to choose from.', + ) + voice_language: Optional[KlingLipSyncVoiceLanguage] = 'en' + voice_speed: Optional[float] = Field( + 1, + description='Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place.', + ge=0.8, + le=2.0, + ) + + +class KlingLipSyncRequest(BaseModel): + callback_url: Optional[AnyUrl] = Field( + None, + description='The callback notification address. Server will notify when the task status changes.', + ) + input: KlingLipSyncInputObject + + +class TaskResult2(BaseModel): + videos: Optional[List[KlingVideoResult]] = None + + +class Data2(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_info: Optional[TaskInfo] = None + task_result: Optional[TaskResult2] = None + task_status: Optional[KlingTaskStatus] = None + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingLipSyncResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data2] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class KlingSingleImageEffectInput(BaseModel): + duration: KlingSingleImageEffectDuration + image: str = Field( + ..., + description='Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1.', + ) + model_name: KlingSingleImageEffectModelName + + +class KlingText2VideoRequest(BaseModel): + aspect_ratio: Optional[KlingVideoGenAspectRatio] = '16:9' + callback_url: Optional[AnyUrl] = Field( + None, description='The callback notification address' + ) + camera_control: Optional[KlingCameraControl] = None + cfg_scale: Optional[KlingVideoGenCfgScale] = Field( + default_factory=lambda: KlingVideoGenCfgScale.model_validate(0.5) + ) + duration: Optional[KlingVideoGenDuration] = '5' + external_task_id: Optional[str] = Field(None, description='Customized Task ID') + mode: Optional[KlingVideoGenMode] = 'std' + model_name: Optional[KlingTextToVideoModelName] = 'kling-v1' + negative_prompt: Optional[str] = Field( + None, description='Negative text prompt', max_length=2500 + ) + prompt: Optional[str] = Field( + None, description='Positive text prompt', max_length=2500 + ) + + +class Data4(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_info: Optional[TaskInfo] = None + task_result: Optional[TaskResult2] = None + task_status: Optional[KlingTaskStatus] = None + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingText2VideoResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data4] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class KlingVideoEffectsInput( + RootModel[Union[KlingSingleImageEffectInput, KlingDualCharacterEffectInput]] +): + root: Union[KlingSingleImageEffectInput, KlingDualCharacterEffectInput] + + +class KlingVideoEffectsRequest(BaseModel): + callback_url: Optional[AnyUrl] = Field( + None, + description='The callback notification address for the result of this task.', + ) + effect_scene: Union[KlingDualCharacterEffectsScene, KlingSingleImageEffectsScene] + external_task_id: Optional[str] = Field( + None, + description='Customized Task ID. Must be unique within a single user account.', + ) + input: KlingVideoEffectsInput + + +class Data5(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_info: Optional[TaskInfo] = None + task_result: Optional[TaskResult2] = None + task_status: Optional[KlingTaskStatus] = None + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingVideoEffectsResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data5] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class KlingVideoExtendRequest(BaseModel): + callback_url: Optional[AnyUrl] = Field( + None, + description='The callback notification address. Server will notify when the task status changes.', + ) + cfg_scale: Optional[KlingVideoGenCfgScale] = Field( + default_factory=lambda: KlingVideoGenCfgScale.model_validate(0.5) + ) + negative_prompt: Optional[str] = Field( + None, + description='Negative text prompt for elements to avoid in the extended video', + max_length=2500, + ) + prompt: Optional[str] = Field( + None, + description='Positive text prompt for guiding the video extension', + max_length=2500, + ) + video_id: Optional[str] = Field( + None, + description='The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension.', + ) + + +class Data6(BaseModel): + created_at: Optional[int] = Field(None, description='Task creation time') + task_id: Optional[str] = Field(None, description='Task ID') + task_info: Optional[TaskInfo] = None + task_result: Optional[TaskResult2] = None + task_status: Optional[KlingTaskStatus] = None + updated_at: Optional[int] = Field(None, description='Task update time') + + +class KlingVideoExtendResponse(BaseModel): + code: Optional[int] = Field(None, description='Error code') + data: Optional[Data6] = None + message: Optional[str] = Field(None, description='Error message') + request_id: Optional[str] = Field(None, description='Request ID') + + +class LumaGenerationRequest(BaseModel): + aspect_ratio: LumaAspectRatio + callback_url: Optional[AnyUrl] = Field( + None, + description='The callback URL of the generation, a POST request with Generation object will be sent to the callback URL when the generation is dreaming, completed, or failed', + ) + duration: LumaVideoModelOutputDuration + generation_type: Optional[GenerationType1] = 'video' + keyframes: Optional[LumaKeyframes] = None + loop: Optional[bool] = Field(None, description='Whether to loop the video') + model: LumaVideoModel + prompt: str = Field(..., description='The prompt of the generation') + resolution: LumaVideoModelOutputResolution + + +class CharacterRef(BaseModel): + identity0: Optional[LumaImageIdentity] = None + + +class LumaImageGenerationRequest(BaseModel): + aspect_ratio: Optional[LumaAspectRatio] = '16:9' + callback_url: Optional[AnyUrl] = Field( + None, description='The callback URL for the generation' + ) + character_ref: Optional[CharacterRef] = None + generation_type: Optional[GenerationType2] = 'image' + image_ref: Optional[List[LumaImageRef]] = None + model: Optional[LumaImageModel] = 'photon-1' + modify_image_ref: Optional[LumaModifyImageRef] = None + prompt: Optional[str] = Field(None, description='The prompt of the generation') + style_ref: Optional[List[LumaImageRef]] = None + + +class LumaUpscaleVideoGenerationRequest(BaseModel): + callback_url: Optional[AnyUrl] = Field( + None, description='The callback URL for the upscale' + ) + generation_type: Optional[GenerationType3] = 'upscale_video' + resolution: Optional[LumaVideoModelOutputResolution] = None + + +class MoonvalleyImageToVideoRequest(MoonvalleyTextToVideoRequest): + keyframes: Optional[Dict[str, Keyframes]] = None + + +class MoonvalleyResizeVideoRequest(MoonvalleyVideoToVideoRequest): + frame_position: Optional[List[int]] = Field(None, max_length=2, min_length=2) + frame_resolution: Optional[List[int]] = Field(None, max_length=2, min_length=2) + scale: Optional[List[int]] = Field(None, max_length=2, min_length=2) + + +class MoonvalleyTextToImageRequest(BaseModel): + image_url: Optional[str] = None + inference_params: Optional[MoonvalleyTextToVideoInferenceParams] = None + prompt_text: Optional[str] = None + webhook_url: Optional[str] = None + + +class NodeVersion(BaseModel): + changelog: Optional[str] = Field( + None, description='Summary of changes made in this version' + ) + comfy_node_extract_status: Optional[str] = Field( + None, description='The status of comfy node extraction process.' + ) + createdAt: Optional[datetime] = Field( + None, description='The date and time the version was created.' + ) + dependencies: Optional[List[str]] = Field( + None, description='A list of pip dependencies required by the node.' + ) + deprecated: Optional[bool] = Field( + None, description='Indicates if this version is deprecated.' + ) + downloadUrl: Optional[str] = Field( + None, description='[Output Only] URL to download this version of the node' + ) + id: Optional[str] = None + node_id: Optional[str] = Field( + None, description='The unique identifier of the node.' + ) + status: Optional[NodeVersionStatus] = None + status_reason: Optional[str] = Field( + None, description='The reason for the status change.' + ) + supported_accelerators: Optional[List[str]] = Field( + None, + description='List of accelerators (e.g. CUDA, DirectML, ROCm) that this node supports', + ) + supported_comfyui_frontend_version: Optional[str] = Field( + None, description='Supported versions of ComfyUI frontend' + ) + supported_comfyui_version: Optional[str] = Field( + None, description='Supported versions of ComfyUI' + ) + supported_os: Optional[List[str]] = Field( + None, description='List of operating systems that this node supports' + ) + version: Optional[str] = Field( + None, + description='The version identifier, following semantic versioning. Must be unique for the node.', + ) + + +class OutputContent(RootModel[Union[OutputTextContent, OutputAudioContent]]): + root: Union[OutputTextContent, OutputAudioContent] + + +class OutputMessage(BaseModel): + content: List[OutputContent] = Field(..., description='The content of the message') + role: Role4 = Field(..., description='The role of the message') + type: Type15 = Field(..., description='The type of output item') + + +class PikaBodyGenerate22I2vGenerate22I2vPost(BaseModel): + duration: Optional[PikaDurationEnum] = 5 + image: Optional[StrictBytes] = Field(None, title='Image') + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + promptText: Optional[str] = Field(None, title='Prompttext') + resolution: Optional[PikaResolutionEnum] = '1080p' + seed: Optional[int] = Field(None, title='Seed') + + +class PikaBodyGenerate22KeyframeGenerate22PikaframesPost(BaseModel): + duration: Optional[int] = Field(None, ge=5, le=10, title='Duration') + keyFrames: Optional[List[StrictBytes]] = Field( + None, description='Array of keyframe images', title='Keyframes' + ) + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + promptText: str = Field(..., title='Prompttext') + resolution: Optional[PikaResolutionEnum] = '1080p' + seed: Optional[int] = Field(None, title='Seed') + + +class PikaBodyGenerate22T2vGenerate22T2vPost(BaseModel): + aspectRatio: Optional[float] = Field( + 1.7777777777777777, + description='Aspect ratio (width / height)', + ge=0.4, + le=2.5, + title='Aspectratio', + ) + duration: Optional[PikaDurationEnum] = 5 + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + promptText: str = Field(..., title='Prompttext') + resolution: Optional[PikaResolutionEnum] = '1080p' + seed: Optional[int] = Field(None, title='Seed') + + +class PikaBodyGeneratePikaffectsGeneratePikaffectsPost(BaseModel): + image: Optional[StrictBytes] = Field(None, title='Image') + negativePrompt: Optional[str] = Field(None, title='Negativeprompt') + pikaffect: Optional[Pikaffect] = None + promptText: Optional[str] = Field(None, title='Prompttext') + seed: Optional[int] = Field(None, title='Seed') + + +class PikaHTTPValidationError(BaseModel): + detail: Optional[List[PikaValidationError]] = Field(None, title='Detail') + + +class PublisherMember(BaseModel): + id: Optional[str] = Field( + None, description='The unique identifier for the publisher member.' + ) + role: Optional[str] = Field( + None, description='The role of the user in the publisher.' + ) + user: Optional[PublisherUser] = None + + +class Reasoning(BaseModel): + effort: Optional[ReasoningEffort] = 'medium' + generate_summary: Optional[GenerateSummary] = Field( + None, + description="**Deprecated:** use `summary` instead.\n\nA summary of the reasoning performed by the model. This can be\nuseful for debugging and understanding the model's reasoning process.\nOne of `auto`, `concise`, or `detailed`.\n", + ) + summary: Optional[Summary] = Field( + None, + description="A summary of the reasoning performed by the model. This can be\nuseful for debugging and understanding the model's reasoning process.\nOne of `auto`, `concise`, or `detailed`.\n", + ) + + +class RecraftImage(BaseModel): + b64_json: Optional[str] = None + features: Optional[RecraftImageFeatures] = None + image_id: UUID + revised_prompt: Optional[str] = None + url: Optional[str] = None + + +class RecraftProcessImageRequest(BaseModel): + image: StrictBytes + image_format: Optional[RecraftImageFormat] = None + response_format: Optional[RecraftResponseFormat] = None + + +class RecraftProcessImageResponse(BaseModel): + created: int + credits: int + image: RecraftImage + + +class RecraftTextLayout(RootModel[List[RecraftTextLayoutItem]]): + root: List[RecraftTextLayoutItem] + + +class RecraftTransformImageWithMaskRequest(BaseModel): + block_nsfw: Optional[bool] = None + calculate_features: Optional[bool] = None + image: StrictBytes + image_format: Optional[RecraftImageFormat] = None + mask: StrictBytes + model: Optional[RecraftTransformModel] = None + n: Optional[int] = None + negative_prompt: Optional[str] = None + prompt: str + response_format: Optional[RecraftResponseFormat] = None + style: Optional[RecraftImageStyle] = None + style_id: Optional[UUID] = None + substyle: Optional[RecraftImageSubStyle] = None + text_layout: Optional[RecraftTextLayout] = None + + +class ResponseContentPartAddedEvent(BaseModel): + content_index: int = Field( + ..., description='The index of the content part that was added.' + ) + item_id: str = Field( + ..., description='The ID of the output item that the content part was added to.' + ) + output_index: int = Field( + ..., + description='The index of the output item that the content part was added to.', + ) + part: OutputContent + type: Type20 = Field( + ..., description='The type of the event. Always `response.content_part.added`.' + ) + + +class ResponseContentPartDoneEvent(BaseModel): + content_index: int = Field( + ..., description='The index of the content part that is done.' + ) + item_id: str = Field( + ..., description='The ID of the output item that the content part was added to.' + ) + output_index: int = Field( + ..., + description='The index of the output item that the content part was added to.', + ) + part: OutputContent + type: Type21 = Field( + ..., description='The type of the event. Always `response.content_part.done`.' + ) + + +class ResponseError(BaseModel): + code: ResponseErrorCode + message: str = Field(..., description='A human-readable description of the error.') + + +class Rodin3DDownloadResponse(BaseModel): + list: Optional[List[RodinResourceItem]] = None + + +class Rodin3DGenerateRequest(BaseModel): + images: str = Field(..., description='The reference images to generate 3D Assets.') + material: Optional[RodinMaterialType] = None + mesh_mode: Optional[RodinMeshModeType] = None + quality: Optional[RodinQualityType] = None + seed: Optional[int] = Field(None, description='Seed.') + tier: Optional[RodinTierType] = None + + +class Rodin3DGenerateResponse(BaseModel): + jobs: Optional[RodinGenerateJobsData] = None + message: Optional[str] = Field(None, description='message') + prompt: Optional[str] = Field(None, description='prompt') + submit_time: Optional[str] = Field(None, description='Time') + uuid: Optional[str] = Field(None, description='Task UUID') + + +class RodinCheckStatusJobItem(BaseModel): + status: Optional[RodinStatusOptions] = None + uuid: Optional[str] = Field(None, description='sub uuid') + + +class RunwayImageToVideoRequest(BaseModel): + duration: RunwayDurationEnum + model: RunwayModelEnum + promptImage: RunwayPromptImageObject + promptText: Optional[str] = Field( + None, description='Text prompt for the generation', max_length=1000 + ) + ratio: RunwayAspectRatioEnum + seed: int = Field( + ..., description='Random seed for generation', ge=0, le=4294967295 + ) + + +class StripeCharge(BaseModel): + amount: Optional[int] = None + amount_captured: Optional[int] = None + amount_refunded: Optional[int] = None + application: Optional[str] = None + application_fee: Optional[str] = None + application_fee_amount: Optional[int] = None + balance_transaction: Optional[str] = None + billing_details: Optional[StripeBillingDetails] = None + calculated_statement_descriptor: Optional[str] = None + captured: Optional[bool] = None + created: Optional[int] = None + currency: Optional[str] = None + customer: Optional[str] = None + description: Optional[str] = None + destination: Optional[Any] = None + dispute: Optional[Any] = None + disputed: Optional[bool] = None + failure_balance_transaction: Optional[Any] = None + failure_code: Optional[Any] = None + failure_message: Optional[Any] = None + fraud_details: Optional[Dict[str, Any]] = None + id: Optional[str] = None + invoice: Optional[Any] = None + livemode: Optional[bool] = None + metadata: Optional[Dict[str, Any]] = None + object: Optional[Object1] = None + on_behalf_of: Optional[Any] = None + order: Optional[Any] = None + outcome: Optional[StripeOutcome] = None + paid: Optional[bool] = None + payment_intent: Optional[str] = None + payment_method: Optional[str] = None + payment_method_details: Optional[StripePaymentMethodDetails] = None + radar_options: Optional[Dict[str, Any]] = None + receipt_email: Optional[str] = None + receipt_number: Optional[str] = None + receipt_url: Optional[str] = None + refunded: Optional[bool] = None + refunds: Optional[StripeRefundList] = None + review: Optional[Any] = None + shipping: Optional[StripeShipping] = None + source: Optional[Any] = None + source_transfer: Optional[Any] = None + statement_descriptor: Optional[Any] = None + statement_descriptor_suffix: Optional[Any] = None + status: Optional[str] = None + transfer_data: Optional[Any] = None + transfer_group: Optional[Any] = None + + +class StripeChargeList(BaseModel): + data: Optional[List[StripeCharge]] = None + has_more: Optional[bool] = None + object: Optional[str] = None + total_count: Optional[int] = None + url: Optional[str] = None + + +class StripePaymentIntent(BaseModel): + amount: Optional[int] = None + amount_capturable: Optional[int] = None + amount_details: Optional[StripeAmountDetails] = None + amount_received: Optional[int] = None + application: Optional[str] = None + application_fee_amount: Optional[int] = None + automatic_payment_methods: Optional[Any] = None + canceled_at: Optional[int] = None + cancellation_reason: Optional[str] = None + capture_method: Optional[str] = None + charges: Optional[StripeChargeList] = None + client_secret: Optional[str] = None + confirmation_method: Optional[str] = None + created: Optional[int] = None + currency: Optional[str] = None + customer: Optional[str] = None + description: Optional[str] = None + id: Optional[str] = None + invoice: Optional[str] = None + last_payment_error: Optional[Any] = None + latest_charge: Optional[str] = None + livemode: Optional[bool] = None + metadata: Optional[Dict[str, Any]] = None + next_action: Optional[Any] = None + object: Optional[Object3] = None + on_behalf_of: Optional[Any] = None + payment_method: Optional[str] = None + payment_method_configuration_details: Optional[Any] = None + payment_method_options: Optional[StripePaymentMethodOptions] = None + payment_method_types: Optional[List[str]] = None + processing: Optional[Any] = None + receipt_email: Optional[str] = None + review: Optional[Any] = None + setup_future_usage: Optional[Any] = None + shipping: Optional[StripeShipping] = None + source: Optional[Any] = None + statement_descriptor: Optional[Any] = None + statement_descriptor_suffix: Optional[Any] = None + status: Optional[str] = None + transfer_data: Optional[Any] = None + transfer_group: Optional[Any] = None + + +class TextResponseFormatConfiguration( + RootModel[ + Union[ + ResponseFormatText, TextResponseFormatJsonSchema, ResponseFormatJsonObject + ] + ] +): + root: Union[ + ResponseFormatText, TextResponseFormatJsonSchema, ResponseFormatJsonObject + ] = Field( + ..., + description='An object specifying the format that the model must output.\n\nConfiguring `{ "type": "json_schema" }` enables Structured Outputs, \nwhich ensures the model will match your supplied JSON schema. Learn more in the \n[Structured Outputs guide](/docs/guides/structured-outputs).\n\nThe default format is `{ "type": "text" }` with no additional options.\n\n**Not recommended for gpt-4o and newer models:**\n\nSetting to `{ "type": "json_object" }` enables the older JSON mode, which\nensures the message the model generates is valid JSON. Using `json_schema`\nis preferred for models that support it.\n', + ) + + +class Tool( + RootModel[ + Union[ + FileSearchTool, FunctionTool, WebSearchPreviewTool, ComputerUsePreviewTool + ] + ] +): + root: Union[ + FileSearchTool, FunctionTool, WebSearchPreviewTool, ComputerUsePreviewTool + ] = Field(..., discriminator='type') + + +class BulkNodeVersionResult(BaseModel): + error_message: Optional[str] = Field( + None, + description='Error message if retrieval failed (only present if status is error)', + ) + identifier: NodeVersionIdentifier + node_version: Optional[NodeVersion] = None + status: Status = Field(..., description='Status of the retrieval operation') + + +class BulkNodeVersionsResponse(BaseModel): + node_versions: List[BulkNodeVersionResult] = Field( + ..., description='List of retrieved node versions with their status' + ) + + +class EasyInputMessage(BaseModel): + content: Union[str, InputMessageContentList] = Field( + ..., + description='Text, image, or audio input to the model, used to generate a response.\nCan also contain previous assistant responses.\n', + ) + role: Role = Field( + ..., + description='The role of the message input. One of `user`, `assistant`, `system`, or\n`developer`.\n', + ) + type: Optional[Type2] = Field( + None, description='The type of the message input. Always `message`.\n' + ) + + +class GeminiContent(BaseModel): + parts: List[GeminiPart] + role: Role1 = Field(..., examples=['user']) + + +class GeminiGenerateContentRequest(BaseModel): + contents: List[GeminiContent] + generationConfig: Optional[GeminiGenerationConfig] = None + safetySettings: Optional[List[GeminiSafetySetting]] = None + systemInstruction: Optional[GeminiSystemInstructionContent] = None + tools: Optional[List[GeminiTool]] = None + videoMetadata: Optional[GeminiVideoMetadata] = None + + +class GithubReleaseWebhook(BaseModel): + action: Action = Field(..., description='The action performed on the release') + enterprise: Optional[GithubEnterprise] = None + installation: Optional[GithubInstallation] = None + organization: Optional[GithubOrganization] = None + release: Release = Field(..., description='The release object') + repository: GithubRepository + sender: GithubUser + + +class ImagenGenerateImageRequest(BaseModel): + instances: List[ImagenImageGenerationInstance] + parameters: ImagenImageGenerationParameters + + +class InputMessage(BaseModel): + content: Optional[InputMessageContentList] = None + role: Optional[Role3] = None + status: Optional[Status3] = None + type: Optional[Type10] = None + + +class Item( + RootModel[ + Union[ + InputMessage, + OutputMessage, + FileSearchToolCall, + ComputerToolCall, + WebSearchToolCall, + FunctionToolCall, + ReasoningItem, + ] + ] +): + root: Union[ + InputMessage, + OutputMessage, + FileSearchToolCall, + ComputerToolCall, + WebSearchToolCall, + FunctionToolCall, + ReasoningItem, + ] = Field(..., description='Content item used to generate a response.\n') + + +class LumaGeneration(BaseModel): + assets: Optional[LumaAssets] = None + created_at: Optional[datetime] = Field( + None, description='The date and time when the generation was created' + ) + failure_reason: Optional[str] = Field( + None, description='The reason for the state of the generation' + ) + generation_type: Optional[LumaGenerationType] = None + id: Optional[UUID] = Field(None, description='The ID of the generation') + model: Optional[str] = Field(None, description='The model used for the generation') + request: Optional[ + Union[ + LumaGenerationRequest, + LumaImageGenerationRequest, + LumaUpscaleVideoGenerationRequest, + LumaAudioGenerationRequest, + ] + ] = Field(None, description='The request of the generation') + state: Optional[LumaState] = None + + +class OutputItem( + RootModel[ + Union[ + OutputMessage, + FileSearchToolCall, + FunctionToolCall, + WebSearchToolCall, + ComputerToolCall, + ReasoningItem, + ] + ] +): + root: Union[ + OutputMessage, + FileSearchToolCall, + FunctionToolCall, + WebSearchToolCall, + ComputerToolCall, + ReasoningItem, + ] + + +class Publisher(BaseModel): + createdAt: Optional[datetime] = Field( + None, description='The date and time the publisher was created.' + ) + description: Optional[str] = None + id: Optional[str] = Field( + None, + description="The unique identifier for the publisher. It's akin to a username. Should be lowercase.", + ) + logo: Optional[str] = Field(None, description="URL to the publisher's logo.") + members: Optional[List[PublisherMember]] = Field( + None, description='A list of members in the publisher.' + ) + name: Optional[str] = None + source_code_repo: Optional[str] = None + status: Optional[PublisherStatus] = None + support: Optional[str] = None + website: Optional[str] = None + + +class RecraftGenerateImageResponse(BaseModel): + created: int + credits: int + data: List[RecraftImage] + + +class RecraftImageToImageRequest(BaseModel): + block_nsfw: Optional[bool] = None + calculate_features: Optional[bool] = None + controls: Optional[RecraftUserControls] = None + image: StrictBytes + image_format: Optional[RecraftImageFormat] = None + model: Optional[RecraftTransformModel] = None + n: Optional[int] = None + negative_prompt: Optional[str] = None + prompt: str + response_format: Optional[RecraftResponseFormat] = None + strength: float + style: Optional[RecraftImageStyle] = None + style_id: Optional[UUID] = None + substyle: Optional[RecraftImageSubStyle] = None + text_layout: Optional[RecraftTextLayout] = None + + +class ResponseOutputItemAddedEvent(BaseModel): + item: OutputItem + output_index: int = Field( + ..., description='The index of the output item that was added.\n' + ) + type: Type29 = Field( + ..., description='The type of the event. Always `response.output_item.added`.\n' + ) + + +class ResponseOutputItemDoneEvent(BaseModel): + item: OutputItem + output_index: int = Field( + ..., description='The index of the output item that was marked done.\n' + ) + type: Type30 = Field( + ..., description='The type of the event. Always `response.output_item.done`.\n' + ) + + +class Text(BaseModel): + format: Optional[TextResponseFormatConfiguration] = None + + +class ResponseProperties(BaseModel): + instructions: Optional[str] = Field( + None, + description="Inserts a system (or developer) message as the first item in the model's context.\n\nWhen using along with `previous_response_id`, the instructions from a previous\nresponse will not be carried over to the next response. This makes it simple\nto swap out system (or developer) messages in new responses.\n", + ) + max_output_tokens: Optional[int] = Field( + None, + description='An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).\n', + ) + model: Optional[OpenAIModels] = None + previous_response_id: Optional[str] = Field( + None, + description='The unique ID of the previous response to the model. Use this to\ncreate multi-turn conversations. Learn more about \n[conversation state](/docs/guides/conversation-state).\n', + ) + reasoning: Optional[Reasoning] = None + text: Optional[Text] = None + tool_choice: Optional[ + Union[ToolChoiceOptions, ToolChoiceTypes, ToolChoiceFunction] + ] = Field( + None, + description='How the model should select which tool (or tools) to use when generating\na response. See the `tools` parameter to see how to specify which tools\nthe model can call.\n', + ) + tools: Optional[List[Tool]] = None + truncation: Optional[Truncation1] = Field( + 'disabled', + description="The truncation strategy to use for the model response.\n- `auto`: If the context of this response and previous ones exceeds\n the model's context window size, the model will truncate the \n response to fit the context window by dropping input items in the\n middle of the conversation. \n- `disabled` (default): If a model response will exceed the context window \n size for a model, the request will fail with a 400 error.\n", + ) + + +class Rodin3DCheckStatusResponse(BaseModel): + jobs: Optional[List[RodinCheckStatusJobItem]] = Field( + None, description='Details for the generation status.' + ) + + +class Data8(BaseModel): + object: Optional[StripePaymentIntent] = None + + +class StripeEvent(BaseModel): + api_version: Optional[str] = None + created: Optional[int] = None + data: Data8 + id: str + livemode: Optional[bool] = None + object: Object2 + pending_webhooks: Optional[int] = None + request: Optional[StripeRequestInfo] = None + type: Type31 + + +class GeminiCandidate(BaseModel): + citationMetadata: Optional[GeminiCitationMetadata] = None + content: Optional[GeminiContent] = None + finishReason: Optional[str] = None + safetyRatings: Optional[List[GeminiSafetyRating]] = None + + +class GeminiGenerateContentResponse(BaseModel): + candidates: Optional[List[GeminiCandidate]] = None + promptFeedback: Optional[GeminiPromptFeedback] = None + usageMetadata: Optional[GeminiUsageMetadata] = None + + +class InputItem(RootModel[Union[EasyInputMessage, Item]]): + root: Union[EasyInputMessage, Item] + + +class Node(BaseModel): + author: Optional[str] = None + banner_url: Optional[str] = Field(None, description="URL to the node's banner.") + category: Optional[str] = Field(None, description='The category of the node.') + created_at: Optional[datetime] = Field( + None, description='The date and time when the node was created' + ) + description: Optional[str] = None + downloads: Optional[int] = Field( + None, description='The number of downloads of the node.' + ) + github_stars: Optional[int] = Field( + None, description='Number of stars on the GitHub repository.' + ) + icon: Optional[str] = Field(None, description="URL to the node's icon.") + id: Optional[str] = Field(None, description='The unique identifier of the node.') + latest_version: Optional[NodeVersion] = None + license: Optional[str] = Field( + None, description="The path to the LICENSE file in the node's repository." + ) + name: Optional[str] = Field(None, description='The display name of the node.') + preempted_comfy_node_names: Optional[List[str]] = Field( + None, description='A list of Comfy node names that are preempted by this node.' + ) + publisher: Optional[Publisher] = None + rating: Optional[float] = Field(None, description='The average rating of the node.') + repository: Optional[str] = Field(None, description="URL to the node's repository.") + search_ranking: Optional[int] = Field( + None, + description="A numerical value representing the node's search ranking, used for sorting search results.", + ) + status: Optional[NodeStatus] = None + status_detail: Optional[str] = Field( + None, description='The status detail of the node.' + ) + supported_accelerators: Optional[List[str]] = Field( + None, + description='List of accelerators (e.g. CUDA, DirectML, ROCm) that this node supports', + ) + supported_comfyui_frontend_version: Optional[str] = Field( + None, description='Supported versions of ComfyUI frontend' + ) + supported_comfyui_version: Optional[str] = Field( + None, description='Supported versions of ComfyUI' + ) + supported_os: Optional[List[str]] = Field( + None, description='List of operating systems that this node supports' + ) + tags: Optional[List[str]] = None + translations: Optional[Dict[str, Dict[str, Any]]] = Field( + None, description='Translations of node metadata in different languages.' + ) + + +class OpenAICreateResponse(CreateModelResponseProperties, ResponseProperties): + include: Optional[List[Includable]] = Field( + None, + description='Specify additional output data to include in the model response. Currently\nsupported values are:\n- `file_search_call.results`: Include the search results of\n the file search tool call.\n- `message.input_image.image_url`: Include image urls from the input message.\n- `computer_call_output.output.image_url`: Include image urls from the computer call output.\n', + ) + input: Union[str, List[InputItem]] = Field( + ..., + description='Text, image, or file inputs to the model, used to generate a response.\n\nLearn more:\n- [Text inputs and outputs](/docs/guides/text)\n- [Image inputs](/docs/guides/images)\n- [File inputs](/docs/guides/pdf-files)\n- [Conversation state](/docs/guides/conversation-state)\n- [Function calling](/docs/guides/function-calling)\n', + ) + parallel_tool_calls: Optional[bool] = Field( + True, description='Whether to allow the model to run tool calls in parallel.\n' + ) + store: Optional[bool] = Field( + True, + description='Whether to store the generated model response for later retrieval via\nAPI.\n', + ) + stream: Optional[bool] = Field( + False, + description='If set to true, the model response data will be streamed to the client\nas it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).\nSee the [Streaming section below](/docs/api-reference/responses-streaming)\nfor more information.\n', + ) + usage: Optional[ResponseUsage] = None + + +class OpenAIResponse(ModelResponseProperties, ResponseProperties): + created_at: Optional[float] = Field( + None, + description='Unix timestamp (in seconds) of when this Response was created.', + ) + error: Optional[ResponseError] = None + id: Optional[str] = Field(None, description='Unique identifier for this Response.') + incomplete_details: Optional[IncompleteDetails] = Field( + None, description='Details about why the response is incomplete.\n' + ) + object: Optional[Object] = Field( + None, description='The object type of this resource - always set to `response`.' + ) + output: Optional[List[OutputItem]] = Field( + None, + description="An array of content items generated by the model.\n\n- The length and order of items in the `output` array is dependent\n on the model's response.\n- Rather than accessing the first item in the `output` array and \n assuming it's an `assistant` message with the content generated by\n the model, you might consider using the `output_text` property where\n supported in SDKs.\n", + ) + output_text: Optional[str] = Field( + None, + description='SDK-only convenience property that contains the aggregated text output \nfrom all `output_text` items in the `output` array, if any are present. \nSupported in the Python and JavaScript SDKs.\n', + ) + parallel_tool_calls: Optional[bool] = Field( + True, description='Whether to allow the model to run tool calls in parallel.\n' + ) + status: Optional[Status7] = Field( + None, + description='The status of the response generation. One of `completed`, `failed`, `in_progress`, or `incomplete`.', + ) + usage: Optional[ResponseUsage] = None + + +class ResponseCompletedEvent(BaseModel): + response: OpenAIResponse + type: Type19 = Field( + ..., description='The type of the event. Always `response.completed`.' + ) + + +class ResponseCreatedEvent(BaseModel): + response: OpenAIResponse + type: Type22 = Field( + ..., description='The type of the event. Always `response.created`.' + ) + + +class ResponseFailedEvent(BaseModel): + response: OpenAIResponse + type: Type24 = Field( + ..., description='The type of the event. Always `response.failed`.\n' + ) + + +class ResponseInProgressEvent(BaseModel): + response: OpenAIResponse + type: Type27 = Field( + ..., description='The type of the event. Always `response.in_progress`.\n' + ) + + +class ResponseIncompleteEvent(BaseModel): + response: OpenAIResponse + type: Type28 = Field( + ..., description='The type of the event. Always `response.incomplete`.\n' + ) + + +class OpenAIResponseStreamEvent( + RootModel[ + Union[ + ResponseCreatedEvent, + ResponseInProgressEvent, + ResponseCompletedEvent, + ResponseFailedEvent, + ResponseIncompleteEvent, + ResponseOutputItemAddedEvent, + ResponseOutputItemDoneEvent, + ResponseContentPartAddedEvent, + ResponseContentPartDoneEvent, + ResponseErrorEvent, + ] + ] +): + root: Union[ + ResponseCreatedEvent, + ResponseInProgressEvent, + ResponseCompletedEvent, + ResponseFailedEvent, + ResponseIncompleteEvent, + ResponseOutputItemAddedEvent, + ResponseOutputItemDoneEvent, + ResponseContentPartAddedEvent, + ResponseContentPartDoneEvent, + ResponseErrorEvent, + ] = Field(..., description='Events that can be emitted during response streaming') diff --git a/comfy_api_nodes/apis/bfl_api.py b/comfy_api_nodes/apis/bfl_api.py new file mode 100644 index 0000000000000000000000000000000000000000..0e90aef7c6811e2df28a0675563750d35669bf39 --- /dev/null +++ b/comfy_api_nodes/apis/bfl_api.py @@ -0,0 +1,174 @@ +from __future__ import annotations + +from enum import Enum +from typing import Any, Dict, Optional + +from pydantic import BaseModel, Field, confloat, conint + + +class BFLOutputFormat(str, Enum): + png = 'png' + jpeg = 'jpeg' + + +class BFLFluxExpandImageRequest(BaseModel): + prompt: str = Field(..., description='The description of the changes you want to make. This text guides the expansion process, allowing you to specify features, styles, or modifications for the expanded areas.') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + top: conint(ge=0, le=2048) = Field(..., description='Number of pixels to expand at the top of the image') + bottom: conint(ge=0, le=2048) = Field(..., description='Number of pixels to expand at the bottom of the image') + left: conint(ge=0, le=2048) = Field(..., description='Number of pixels to expand at the left side of the image') + right: conint(ge=0, le=2048) = Field(..., description='Number of pixels to expand at the right side of the image') + steps: conint(ge=15, le=50) = Field(..., description='Number of steps for the image generation process') + guidance: confloat(ge=1.5, le=100) = Field(..., description='Guidance strength for the image generation process') + safety_tolerance: Optional[conint(ge=0, le=6)] = Field( + 6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + image: str = Field(None, description='A Base64-encoded string representing the image you wish to expand') + + +class BFLFluxFillImageRequest(BaseModel): + prompt: str = Field(..., description='The description of the changes you want to make. This text guides the expansion process, allowing you to specify features, styles, or modifications for the expanded areas.') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + steps: conint(ge=15, le=50) = Field(..., description='Number of steps for the image generation process') + guidance: confloat(ge=1.5, le=100) = Field(..., description='Guidance strength for the image generation process') + safety_tolerance: Optional[conint(ge=0, le=6)] = Field( + 6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + image: str = Field(None, description='A Base64-encoded string representing the image you wish to modify. Can contain alpha mask if desired.') + mask: str = Field(None, description='A Base64-encoded string representing the mask of the areas you with to modify.') + + +class BFLFluxCannyImageRequest(BaseModel): + prompt: str = Field(..., description='Text prompt for image generation') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + canny_low_threshold: Optional[int] = Field(None, description='Low threshold for Canny edge detection') + canny_high_threshold: Optional[int] = Field(None, description='High threshold for Canny edge detection') + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + steps: conint(ge=15, le=50) = Field(..., description='Number of steps for the image generation process') + guidance: confloat(ge=1, le=100) = Field(..., description='Guidance strength for the image generation process') + safety_tolerance: Optional[conint(ge=0, le=6)] = Field( + 6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + control_image: Optional[str] = Field(None, description='Base64 encoded image to use as control input if no preprocessed image is provided') + preprocessed_image: Optional[str] = Field(None, description='Optional pre-processed image that will bypass the control preprocessing step') + + +class BFLFluxDepthImageRequest(BaseModel): + prompt: str = Field(..., description='Text prompt for image generation') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + steps: conint(ge=15, le=50) = Field(..., description='Number of steps for the image generation process') + guidance: confloat(ge=1, le=100) = Field(..., description='Guidance strength for the image generation process') + safety_tolerance: Optional[conint(ge=0, le=6)] = Field( + 6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + control_image: Optional[str] = Field(None, description='Base64 encoded image to use as control input if no preprocessed image is provided') + preprocessed_image: Optional[str] = Field(None, description='Optional pre-processed image that will bypass the control preprocessing step') + + +class BFLFluxProGenerateRequest(BaseModel): + prompt: str = Field(..., description='The text prompt for image generation.') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + width: conint(ge=256, le=1440) = Field(1024, description='Width of the generated image in pixels. Must be a multiple of 32.') + height: conint(ge=256, le=1440) = Field(768, description='Height of the generated image in pixels. Must be a multiple of 32.') + safety_tolerance: Optional[conint(ge=0, le=6)] = Field( + 6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + image_prompt: Optional[str] = Field(None, description='Optional image to remix in base64 format') + # image_prompt_strength: Optional[confloat(ge=0.0, le=1.0)] = Field( + # None, description='Blend between the prompt and the image prompt.' + # ) + + +class BFLFluxKontextProGenerateRequest(BaseModel): + prompt: str = Field(..., description='The text prompt for what you wannt to edit.') + input_image: Optional[str] = Field(None, description='Image to edit in base64 format') + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + guidance: confloat(ge=0.1, le=99.0) = Field(..., description='Guidance strength for the image generation process') + steps: conint(ge=1, le=150) = Field(..., description='Number of steps for the image generation process') + safety_tolerance: Optional[conint(ge=0, le=2)] = Field( + 2, description='Tolerance level for input and output moderation. Between 0 and 2, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + aspect_ratio: Optional[str] = Field(None, description='Aspect ratio of the image between 21:9 and 9:21.') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + + +class BFLFluxProUltraGenerateRequest(BaseModel): + prompt: str = Field(..., description='The text prompt for image generation.') + prompt_upsampling: Optional[bool] = Field( + None, description='Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.' + ) + seed: Optional[int] = Field(None, description='The seed value for reproducibility.') + aspect_ratio: Optional[str] = Field(None, description='Aspect ratio of the image between 21:9 and 9:21.') + safety_tolerance: Optional[conint(ge=0, le=6)] = Field( + 6, description='Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict. Defaults to 2.' + ) + output_format: Optional[BFLOutputFormat] = Field( + BFLOutputFormat.png, description="Output format for the generated image. Can be 'jpeg' or 'png'.", examples=['png'] + ) + raw: Optional[bool] = Field(None, description='Generate less processed, more natural-looking images.') + image_prompt: Optional[str] = Field(None, description='Optional image to remix in base64 format') + image_prompt_strength: Optional[confloat(ge=0.0, le=1.0)] = Field( + None, description='Blend between the prompt and the image prompt.' + ) + + +class BFLFluxProGenerateResponse(BaseModel): + id: str = Field(..., description='The unique identifier for the generation task.') + polling_url: str = Field(..., description='URL to poll for the generation result.') + + +class BFLStatus(str, Enum): + task_not_found = "Task not found" + pending = "Pending" + request_moderated = "Request Moderated" + content_moderated = "Content Moderated" + ready = "Ready" + error = "Error" + + +class BFLFluxProStatusResponse(BaseModel): + id: str = Field(..., description="The unique identifier for the generation task.") + status: BFLStatus = Field(..., description="The status of the task.") + result: Optional[Dict[str, Any]] = Field( + None, description="The result of the task (null if not completed)." + ) + progress: confloat(ge=0.0, le=1.0) = Field( + ..., description="The progress of the task (0.0 to 1.0)." + ) + details: Optional[Dict[str, Any]] = Field( + None, description="Additional details about the task (null if not available)." + ) diff --git a/comfy_api_nodes/apis/client.py b/comfy_api_nodes/apis/client.py new file mode 100644 index 0000000000000000000000000000000000000000..4ad0b783bc610fd559169ea2056c8a2dbf42b492 --- /dev/null +++ b/comfy_api_nodes/apis/client.py @@ -0,0 +1,957 @@ +""" +API Client Framework for api.comfy.org. + +This module provides a flexible framework for making API requests from ComfyUI nodes. +It supports both synchronous and asynchronous API operations with proper type validation. + +Key Components: +-------------- +1. ApiClient - Handles HTTP requests with authentication and error handling +2. ApiEndpoint - Defines a single HTTP endpoint with its request/response models +3. ApiOperation - Executes a single synchronous API operation + +Usage Examples: +-------------- + +# Example 1: Synchronous API Operation +# ------------------------------------ +# For a simple API call that returns the result immediately: + +# 1. Create the API client +api_client = ApiClient( + base_url="https://api.example.com", + auth_token="your_auth_token_here", + comfy_api_key="your_comfy_api_key_here", + timeout=30.0, + verify_ssl=True +) + +# 2. Define the endpoint +user_info_endpoint = ApiEndpoint( + path="/v1/users/me", + method=HttpMethod.GET, + request_model=EmptyRequest, # No request body needed + response_model=UserProfile, # Pydantic model for the response + query_params=None +) + +# 3. Create the request object +request = EmptyRequest() + +# 4. Create and execute the operation +operation = ApiOperation( + endpoint=user_info_endpoint, + request=request +) +user_profile = await operation.execute(client=api_client) # Returns immediately with the result + + +# Example 2: Asynchronous API Operation with Polling +# ------------------------------------------------- +# For an API that starts a task and requires polling for completion: + +# 1. Define the endpoints (initial request and polling) +generate_image_endpoint = ApiEndpoint( + path="/v1/images/generate", + method=HttpMethod.POST, + request_model=ImageGenerationRequest, + response_model=TaskCreatedResponse, + query_params=None +) + +check_task_endpoint = ApiEndpoint( + path="/v1/tasks/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=ImageGenerationResult, + query_params=None +) + +# 2. Create the request object +request = ImageGenerationRequest( + prompt="a beautiful sunset over mountains", + width=1024, + height=1024, + num_images=1 +) + +# 3. Create and execute the polling operation +operation = PollingOperation( + initial_endpoint=generate_image_endpoint, + initial_request=request, + poll_endpoint=check_task_endpoint, + task_id_field="task_id", + status_field="status", + completed_statuses=["completed"], + failed_statuses=["failed", "error"] +) + +# This will make the initial request and then poll until completion +result = await operation.execute(client=api_client) # Returns the final ImageGenerationResult when done +""" + +from __future__ import annotations +import aiohttp +import asyncio +import logging +import io +import socket +from aiohttp.client_exceptions import ClientError, ClientResponseError +from typing import Dict, Type, Optional, Any, TypeVar, Generic, Callable, Tuple +from enum import Enum +import json +from urllib.parse import urljoin, urlparse +from pydantic import BaseModel, Field +import uuid # For generating unique operation IDs + +from server import PromptServer +from comfy.cli_args import args +from comfy import utils +from . import request_logger + +T = TypeVar("T", bound=BaseModel) +R = TypeVar("R", bound=BaseModel) +P = TypeVar("P", bound=BaseModel) # For poll response + +PROGRESS_BAR_MAX = 100 + + +class NetworkError(Exception): + """Base exception for network-related errors with diagnostic information.""" + pass + + +class LocalNetworkError(NetworkError): + """Exception raised when local network connectivity issues are detected.""" + pass + + +class ApiServerError(NetworkError): + """Exception raised when the API server is unreachable but internet is working.""" + pass + + +class EmptyRequest(BaseModel): + """Base class for empty request bodies. + For GET requests, fields will be sent as query parameters.""" + + pass + + +class UploadRequest(BaseModel): + file_name: str = Field(..., description="Filename to upload") + content_type: Optional[str] = Field( + None, + description="Mime type of the file. For example: image/png, image/jpeg, video/mp4, etc.", + ) + + +class UploadResponse(BaseModel): + download_url: str = Field(..., description="URL to GET uploaded file") + upload_url: str = Field(..., description="URL to PUT file to upload") + + +class HttpMethod(str, Enum): + GET = "GET" + POST = "POST" + PUT = "PUT" + DELETE = "DELETE" + PATCH = "PATCH" + + +class ApiClient: + """ + Client for making HTTP requests to an API with authentication, error handling, and retry logic. + """ + + def __init__( + self, + base_url: str, + auth_token: Optional[str] = None, + comfy_api_key: Optional[str] = None, + timeout: float = 3600.0, + verify_ssl: bool = True, + max_retries: int = 3, + retry_delay: float = 1.0, + retry_backoff_factor: float = 2.0, + retry_status_codes: Optional[Tuple[int, ...]] = None, + session: Optional[aiohttp.ClientSession] = None, + ): + self.base_url = base_url + self.auth_token = auth_token + self.comfy_api_key = comfy_api_key + self.timeout = timeout + self.verify_ssl = verify_ssl + self.max_retries = max_retries + self.retry_delay = retry_delay + self.retry_backoff_factor = retry_backoff_factor + # Default retry status codes: 408 (Request Timeout), 429 (Too Many Requests), + # 500, 502, 503, 504 (Server Errors) + self.retry_status_codes = retry_status_codes or (408, 429, 500, 502, 503, 504) + self._session: Optional[aiohttp.ClientSession] = session + self._owns_session = session is None # Track if we have to close it + + @staticmethod + def _generate_operation_id(path: str) -> str: + """Generates a unique operation ID for logging.""" + return f"{path.strip('/').replace('/', '_')}_{uuid.uuid4().hex[:8]}" + + @staticmethod + def _create_json_payload_args( + data: Optional[Dict[str, Any]] = None, + headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + return { + "json": data, + "headers": headers, + } + + def _create_form_data_args( + self, + data: Dict[str, Any] | None, + files: Dict[str, Any] | None, + headers: Optional[Dict[str, str]] = None, + multipart_parser: Callable | None = None, + ) -> Dict[str, Any]: + if headers and "Content-Type" in headers: + del headers["Content-Type"] + + if multipart_parser and data: + data = multipart_parser(data) + + form = aiohttp.FormData(default_to_multipart=True) + if data: # regular text fields + for k, v in data.items(): + if v is None: + continue # aiohttp fails to serialize "None" values + # aiohttp expects strings or bytes; convert enums etc. + form.add_field(k, str(v) if not isinstance(v, (bytes, bytearray)) else v) + + if files: + file_iter = files if isinstance(files, list) else files.items() + for field_name, file_obj in file_iter: + if file_obj is None: + continue # aiohttp fails to serialize "None" values + # file_obj can be (filename, bytes/io.BytesIO, content_type) tuple + if isinstance(file_obj, tuple): + filename, file_value, content_type = self._unpack_tuple(file_obj) + else: + file_value = file_obj + filename = getattr(file_obj, "name", field_name) + content_type = "application/octet-stream" + + form.add_field( + name=field_name, + value=file_value, + filename=filename, + content_type=content_type, + ) + return {"data": form, "headers": headers or {}} + + @staticmethod + def _create_urlencoded_form_data_args( + data: Dict[str, Any], + headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + headers = headers or {} + headers["Content-Type"] = "application/x-www-form-urlencoded" + return { + "data": data, + "headers": headers, + } + + def get_headers(self) -> Dict[str, str]: + """Get headers for API requests, including authentication if available""" + headers = {"Content-Type": "application/json", "Accept": "application/json"} + + if self.auth_token: + headers["Authorization"] = f"Bearer {self.auth_token}" + elif self.comfy_api_key: + headers["X-API-KEY"] = self.comfy_api_key + + return headers + + async def _check_connectivity(self, target_url: str) -> Dict[str, bool]: + """ + Check connectivity to determine if network issues are local or server-related. + + Args: + target_url: URL to check connectivity to + + Returns: + Dictionary with connectivity status details + """ + results = { + "internet_accessible": False, + "api_accessible": False, + "is_local_issue": False, + "is_api_issue": False, + } + timeout = aiohttp.ClientTimeout(total=5.0) + async with aiohttp.ClientSession(timeout=timeout) as session: + try: + async with session.get("https://www.google.com", ssl=self.verify_ssl) as resp: + results["internet_accessible"] = resp.status < 500 + except (ClientError, asyncio.TimeoutError, socket.gaierror): + results["is_local_issue"] = True + return results # cannot reach the internet – early exit + + # Now check API health endpoint + parsed = urlparse(target_url) + health_url = f"{parsed.scheme}://{parsed.netloc}/health" + try: + async with session.get(health_url, ssl=self.verify_ssl) as resp: + results["api_accessible"] = resp.status < 500 + except ClientError: + pass # leave as False + + results["is_api_issue"] = results["internet_accessible"] and not results["api_accessible"] + return results + + async def request( + self, + method: str, + path: str, + params: Optional[Dict[str, Any]] = None, + data: Optional[Dict[str, Any]] = None, + files: Optional[Dict[str, Any] | list[tuple[str, Any]]] = None, + headers: Optional[Dict[str, str]] = None, + content_type: str = "application/json", + multipart_parser: Callable | None = None, + retry_count: int = 0, # Used internally for tracking retries + ) -> Dict[str, Any]: + """ + Make an HTTP request to the API with automatic retries for transient errors. + + Args: + method: HTTP method (GET, POST, etc.) + path: API endpoint path (will be joined with base_url) + params: Query parameters + data: body data + files: Files to upload + headers: Additional headers + content_type: Content type of the request. Defaults to application/json. + retry_count: Internal parameter for tracking retries, do not set manually + + Returns: + Parsed JSON response + + Raises: + LocalNetworkError: If local network connectivity issues are detected + ApiServerError: If the API server is unreachable but internet is working + Exception: For other request failures + """ + + # Build full URL and merge headers + relative_path = path.lstrip("/") + url = urljoin(self.base_url, relative_path) + self._check_auth(self.auth_token, self.comfy_api_key) + + request_headers = self.get_headers() + if headers: + request_headers.update(headers) + if files: + request_headers.pop("Content-Type", None) + if params: + params = {k: v for k, v in params.items() if v is not None} # aiohttp fails to serialize None values + + logging.debug(f"[DEBUG] Request Headers: {request_headers}") + logging.debug(f"[DEBUG] Files: {files}") + logging.debug(f"[DEBUG] Params: {params}") + logging.debug(f"[DEBUG] Data: {data}") + + if content_type == "application/x-www-form-urlencoded": + payload_args = self._create_urlencoded_form_data_args(data or {}, request_headers) + elif content_type == "multipart/form-data": + payload_args = self._create_form_data_args(data, files, request_headers, multipart_parser) + else: + payload_args = self._create_json_payload_args(data, request_headers) + + operation_id = self._generate_operation_id(path) + request_logger.log_request_response( + operation_id=operation_id, + request_method=method, + request_url=url, + request_headers=request_headers, + request_params=params, + request_data=data if content_type == "application/json" else "[form-data or other]", + ) + + session = await self._get_session() + try: + async with session.request( + method, + url, + params=params, + ssl=self.verify_ssl, + **payload_args, + ) as resp: + if resp.status >= 400: + try: + error_data = await resp.json() + except (aiohttp.ContentTypeError, json.JSONDecodeError): + error_data = await resp.text() + + return await self._handle_http_error( + ClientResponseError(resp.request_info, resp.history, status=resp.status, message=error_data), + operation_id, + method, + url, + params, + data, + files, + headers, + content_type, + multipart_parser, + retry_count=retry_count, + response_content=error_data, + ) + + # Success – parse JSON (safely) and log + try: + payload = await resp.json() + response_content_to_log = payload + except (aiohttp.ContentTypeError, json.JSONDecodeError): + payload = {} + response_content_to_log = await resp.text() + + request_logger.log_request_response( + operation_id=operation_id, + request_method=method, + request_url=url, + response_status_code=resp.status, + response_headers=dict(resp.headers), + response_content=response_content_to_log, + ) + return payload + + except (ClientError, asyncio.TimeoutError, socket.gaierror) as e: + # Treat as *connection* problem – optionally retry, else escalate + if retry_count < self.max_retries: + delay = self.retry_delay * (self.retry_backoff_factor ** retry_count) + logging.warning("Connection error. Retrying in %.2fs (%s/%s): %s", delay, retry_count + 1, + self.max_retries, str(e)) + await asyncio.sleep(delay) + return await self.request( + method, + path, + params=params, + data=data, + files=files, + headers=headers, + content_type=content_type, + multipart_parser=multipart_parser, + retry_count=retry_count + 1, + ) + # One final connectivity check for diagnostics + connectivity = await self._check_connectivity(self.base_url) + if connectivity["is_local_issue"]: + raise LocalNetworkError( + "Unable to connect to the API server due to local network issues. " + "Please check your internet connection and try again." + ) from e + raise ApiServerError( + f"The API server at {self.base_url} is currently unreachable. " + f"The service may be experiencing issues. Please try again later." + ) from e + + @staticmethod + def _check_auth(auth_token, comfy_api_key): + """Verify that an auth token is present or comfy_api_key is present""" + if auth_token is None and comfy_api_key is None: + raise Exception("Unauthorized: Please login first to use this node.") + return auth_token or comfy_api_key + + @staticmethod + async def upload_file( + upload_url: str, + file: io.BytesIO | str, + content_type: str | None = None, + max_retries: int = 3, + retry_delay: float = 1.0, + retry_backoff_factor: float = 2.0, + ) -> aiohttp.ClientResponse: + """Upload a file to the API with retry logic. + + Args: + upload_url: The URL to upload to + file: Either a file path string, BytesIO object, or tuple of (file_path, filename) + content_type: Optional mime type to set for the upload + max_retries: Maximum number of retry attempts + retry_delay: Initial delay between retries in seconds + retry_backoff_factor: Multiplier for the delay after each retry + """ + headers: Dict[str, str] = {} + skip_auto_headers: set[str] = set() + if content_type: + headers["Content-Type"] = content_type + else: + # tell aiohttp not to add Content-Type that will break the request signature and result in a 403 status. + skip_auto_headers.add("Content-Type") + + # Extract file bytes + if isinstance(file, io.BytesIO): + file.seek(0) + data = file.read() + elif isinstance(file, str): + with open(file, "rb") as f: + data = f.read() + else: + raise ValueError("File must be BytesIO or str path") + + operation_id = f"upload_{upload_url.split('/')[-1]}_{uuid.uuid4().hex[:8]}" + request_logger.log_request_response( + operation_id=operation_id, + request_method="PUT", + request_url=upload_url, + request_headers=headers, + request_data=f"[File data {len(data)} bytes]", + ) + + delay = retry_delay + for attempt in range(max_retries + 1): + try: + timeout = aiohttp.ClientTimeout(total=None) # honour server side timeouts + async with aiohttp.ClientSession(timeout=timeout) as session: + async with session.put( + upload_url, data=data, headers=headers, skip_auto_headers=skip_auto_headers, + ) as resp: + resp.raise_for_status() + request_logger.log_request_response( + operation_id=operation_id, + request_method="PUT", + request_url=upload_url, + response_status_code=resp.status, + response_headers=dict(resp.headers), + response_content="File uploaded successfully.", + ) + return resp + except (ClientError, asyncio.TimeoutError) as e: + request_logger.log_request_response( + operation_id=operation_id, + request_method="PUT", + request_url=upload_url, + response_status_code=e.status if hasattr(e, "status") else None, + response_headers=dict(e.headers) if getattr(e, "headers") else None, + response_content=None, + error_message=f"{type(e).__name__}: {str(e)}", + ) + if attempt < max_retries: + logging.warning( + "Upload failed (%s/%s). Retrying in %.2fs. %s", attempt + 1, max_retries, delay, str(e) + ) + await asyncio.sleep(delay) + delay *= retry_backoff_factor + else: + raise NetworkError(f"Failed to upload file after {max_retries + 1} attempts: {e}") from e + + async def _handle_http_error( + self, + exc: ClientResponseError, + operation_id: str, + *req_meta, + retry_count: int, + response_content: dict | str = "", + ) -> Dict[str, Any]: + status_code = exc.status + if status_code == 401: + user_friendly = "Unauthorized: Please login first to use this node." + elif status_code == 402: + user_friendly = "Payment Required: Please add credits to your account to use this node." + elif status_code == 409: + user_friendly = "There is a problem with your account. Please contact support@comfy.org." + elif status_code == 429: + user_friendly = "Rate Limit Exceeded: Please try again later." + else: + if isinstance(response_content, dict): + if "error" in response_content and "message" in response_content["error"]: + user_friendly = f"API Error: {response_content['error']['message']}" + if "type" in response_content["error"]: + user_friendly += f" (Type: {response_content['error']['type']})" + else: # Handle cases where error is just a JSON dict with unknown format + user_friendly = f"API Error: {json.dumps(response_content)}" + else: + if len(response_content) < 200: # Arbitrary limit for display + user_friendly = f"API Error (raw): {response_content}" + else: + user_friendly = f"API Error (raw, status {response_content})" + + request_logger.log_request_response( + operation_id=operation_id, + request_method=req_meta[0], + request_url=req_meta[1], + response_status_code=exc.status, + response_headers=dict(req_meta[5]) if req_meta[5] else None, + response_content=response_content, + error_message=f"HTTP Error {exc.status}", + ) + + logging.debug(f"[DEBUG] API Error: {user_friendly} (Status: {status_code})") + if response_content: + logging.debug(f"[DEBUG] Response content: {response_content}") + + # Retry if eligible + if status_code in self.retry_status_codes and retry_count < self.max_retries: + delay = self.retry_delay * (self.retry_backoff_factor ** retry_count) + logging.warning( + "HTTP error %s. Retrying in %.2fs (%s/%s)", + status_code, + delay, + retry_count + 1, + self.max_retries, + ) + await asyncio.sleep(delay) + return await self.request( + req_meta[0], # method + req_meta[1].replace(self.base_url, ""), # path + params=req_meta[2], + data=req_meta[3], + files=req_meta[4], + headers=req_meta[5], + content_type=req_meta[6], + multipart_parser=req_meta[7], + retry_count=retry_count + 1, + ) + + raise Exception(user_friendly) from exc + + @staticmethod + def _unpack_tuple(t): + """Helper to normalise (filename, file, content_type) tuples.""" + if len(t) == 3: + return t + elif len(t) == 2: + return t[0], t[1], "application/octet-stream" + else: + raise ValueError("files tuple must be (filename, file[, content_type])") + + async def _get_session(self) -> aiohttp.ClientSession: + if self._session is None or self._session.closed: + timeout = aiohttp.ClientTimeout(total=self.timeout) + self._session = aiohttp.ClientSession(timeout=timeout) + self._owns_session = True + return self._session + + async def close(self) -> None: + if self._owns_session and self._session and not self._session.closed: + await self._session.close() + + async def __aenter__(self) -> "ApiClient": + """Allow usage as async‑context‑manager – ensures clean teardown""" + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.close() + + +class ApiEndpoint(Generic[T, R]): + """Defines an API endpoint with its request and response types""" + + def __init__( + self, + path: str, + method: HttpMethod, + request_model: Type[T], + response_model: Type[R], + query_params: Optional[Dict[str, Any]] = None, + ): + """Initialize an API endpoint definition. + + Args: + path: The URL path for this endpoint, can include placeholders like {id} + method: The HTTP method to use (GET, POST, etc.) + request_model: Pydantic model class that defines the structure and validation rules for API requests to this endpoint + response_model: Pydantic model class that defines the structure and validation rules for API responses from this endpoint + query_params: Optional dictionary of query parameters to include in the request + """ + self.path = path + self.method = method + self.request_model = request_model + self.response_model = response_model + self.query_params = query_params or {} + + +class SynchronousOperation(Generic[T, R]): + """Represents a single synchronous API operation.""" + + def __init__( + self, + endpoint: ApiEndpoint[T, R], + request: T, + files: Optional[Dict[str, Any] | list[tuple[str, Any]]] = None, + api_base: str | None = None, + auth_token: Optional[str] = None, + comfy_api_key: Optional[str] = None, + auth_kwargs: Optional[Dict[str, str]] = None, + timeout: float = 604800.0, + verify_ssl: bool = True, + content_type: str = "application/json", + multipart_parser: Callable | None = None, + max_retries: int = 3, + retry_delay: float = 1.0, + retry_backoff_factor: float = 2.0, + ) -> None: + self.endpoint = endpoint + self.request = request + self.files = files + self.api_base: str = api_base or args.comfy_api_base + self.auth_token = auth_token + self.comfy_api_key = comfy_api_key + if auth_kwargs is not None: + self.auth_token = auth_kwargs.get("auth_token", self.auth_token) + self.comfy_api_key = auth_kwargs.get("comfy_api_key", self.comfy_api_key) + self.timeout = timeout + self.verify_ssl = verify_ssl + self.content_type = content_type + self.multipart_parser = multipart_parser + self.max_retries = max_retries + self.retry_delay = retry_delay + self.retry_backoff_factor = retry_backoff_factor + + async def execute(self, client: Optional[ApiClient] = None) -> R: + owns_client = client is None + if owns_client: + client = ApiClient( + base_url=self.api_base, + auth_token=self.auth_token, + comfy_api_key=self.comfy_api_key, + timeout=self.timeout, + verify_ssl=self.verify_ssl, + max_retries=self.max_retries, + retry_delay=self.retry_delay, + retry_backoff_factor=self.retry_backoff_factor, + ) + + try: + request_dict: Optional[Dict[str, Any]] + if isinstance(self.request, EmptyRequest): + request_dict = None + else: + request_dict = self.request.model_dump(exclude_none=True) + for k, v in list(request_dict.items()): + if isinstance(v, Enum): + request_dict[k] = v.value + + logging.debug( + f"[DEBUG] API Request: {self.endpoint.method.value} {self.endpoint.path}" + ) + logging.debug(f"[DEBUG] Request Data: {json.dumps(request_dict, indent=2)}") + logging.debug(f"[DEBUG] Query Params: {self.endpoint.query_params}") + + response_json = await client.request( + self.endpoint.method.value, + self.endpoint.path, + params=self.endpoint.query_params, + data=request_dict, + files=self.files, + content_type=self.content_type, + multipart_parser=self.multipart_parser, + ) + + logging.debug("=" * 50) + logging.debug("[DEBUG] RESPONSE DETAILS:") + logging.debug("[DEBUG] Status Code: 200 (Success)") + logging.debug(f"[DEBUG] Response Body: {json.dumps(response_json, indent=2)}") + logging.debug("=" * 50) + + parsed_response = self.endpoint.response_model.model_validate(response_json) + logging.debug(f"[DEBUG] Parsed Response: {parsed_response}") + return parsed_response + finally: + if owns_client: + await client.close() + + +class TaskStatus(str, Enum): + """Enum for task status values""" + + COMPLETED = "completed" + FAILED = "failed" + PENDING = "pending" + + +class PollingOperation(Generic[T, R]): + """Represents an asynchronous API operation that requires polling for completion.""" + + def __init__( + self, + poll_endpoint: ApiEndpoint[EmptyRequest, R], + completed_statuses: list[str], + failed_statuses: list[str], + status_extractor: Callable[[R], str], + progress_extractor: Callable[[R], float] | None = None, + result_url_extractor: Callable[[R], str] | None = None, + request: Optional[T] = None, + api_base: str | None = None, + auth_token: Optional[str] = None, + comfy_api_key: Optional[str] = None, + auth_kwargs: Optional[Dict[str, str]] = None, + poll_interval: float = 5.0, + max_poll_attempts: int = 120, # Default max polling attempts (10 minutes with 5s interval) + max_retries: int = 3, # Max retries per individual API call + retry_delay: float = 1.0, + retry_backoff_factor: float = 2.0, + estimated_duration: Optional[float] = None, + node_id: Optional[str] = None, + ) -> None: + self.poll_endpoint = poll_endpoint + self.request = request + self.api_base: str = api_base or args.comfy_api_base + self.auth_token = auth_token + self.comfy_api_key = comfy_api_key + if auth_kwargs is not None: + self.auth_token = auth_kwargs.get("auth_token", self.auth_token) + self.comfy_api_key = auth_kwargs.get("comfy_api_key", self.comfy_api_key) + self.poll_interval = poll_interval + self.max_poll_attempts = max_poll_attempts + self.max_retries = max_retries + self.retry_delay = retry_delay + self.retry_backoff_factor = retry_backoff_factor + self.estimated_duration = estimated_duration + self.status_extractor = status_extractor or (lambda x: getattr(x, "status", None)) + self.progress_extractor = progress_extractor + self.result_url_extractor = result_url_extractor + self.node_id = node_id + self.completed_statuses = completed_statuses + self.failed_statuses = failed_statuses + self.final_response: Optional[R] = None + + async def execute(self, client: Optional[ApiClient] = None) -> R: + owns_client = client is None + if owns_client: + client = ApiClient( + base_url=self.api_base, + auth_token=self.auth_token, + comfy_api_key=self.comfy_api_key, + max_retries=self.max_retries, + retry_delay=self.retry_delay, + retry_backoff_factor=self.retry_backoff_factor, + ) + try: + return await self._poll_until_complete(client) + finally: + if owns_client: + await client.close() + + def _display_text_on_node(self, text: str): + if not self.node_id: + return + PromptServer.instance.send_progress_text(text, self.node_id) + + def _display_time_progress_on_node(self, time_completed: int | float): + if not self.node_id: + return + if self.estimated_duration is not None: + remaining = max(0, int(self.estimated_duration) - time_completed) + message = f"Task in progress: {time_completed}s (~{remaining}s remaining)" + else: + message = f"Task in progress: {time_completed}s" + self._display_text_on_node(message) + + def _check_task_status(self, response: R) -> TaskStatus: + try: + status = self.status_extractor(response) + if status in self.completed_statuses: + return TaskStatus.COMPLETED + if status in self.failed_statuses: + return TaskStatus.FAILED + return TaskStatus.PENDING + except Exception as e: + logging.error("Error extracting status: %s", e) + return TaskStatus.PENDING + + async def _poll_until_complete(self, client: ApiClient) -> R: + """Poll until the task is complete""" + consecutive_errors = 0 + max_consecutive_errors = min(5, self.max_retries * 2) # Limit consecutive errors + + if self.progress_extractor: + progress = utils.ProgressBar(PROGRESS_BAR_MAX) + + status = TaskStatus.PENDING + for poll_count in range(1, self.max_poll_attempts + 1): + try: + logging.debug(f"[DEBUG] Polling attempt #{poll_count}") + + request_dict = ( + None if self.request is None else self.request.model_dump(exclude_none=True) + ) + + if poll_count == 1: + logging.debug( + f"[DEBUG] Poll Request: {self.poll_endpoint.method.value} {self.poll_endpoint.path}" + ) + logging.debug( + f"[DEBUG] Poll Request Data: {json.dumps(request_dict, indent=2) if request_dict else 'None'}" + ) + + # Query task status + resp = await client.request( + self.poll_endpoint.method.value, + self.poll_endpoint.path, + params=self.poll_endpoint.query_params, + data=request_dict, + ) + consecutive_errors = 0 # reset on success + response_obj: R = self.poll_endpoint.response_model.model_validate(resp) + + # Check if task is complete + status = self._check_task_status(response_obj) + logging.debug(f"[DEBUG] Task Status: {status}") + + # If progress extractor is provided, extract progress + if self.progress_extractor: + new_progress = self.progress_extractor(response_obj) + if new_progress is not None: + progress.update_absolute(new_progress, total=PROGRESS_BAR_MAX) + + if status == TaskStatus.COMPLETED: + message = "Task completed successfully" + if self.result_url_extractor: + result_url = self.result_url_extractor(response_obj) + if result_url: + message = f"Result URL: {result_url}" + logging.debug(f"[DEBUG] {message}") + self._display_text_on_node(message) + self.final_response = response_obj + if self.progress_extractor: + progress.update(100) + return self.final_response + if status == TaskStatus.FAILED: + message = f"Task failed: {json.dumps(resp)}" + logging.error(f"[DEBUG] {message}") + raise Exception(message) + logging.debug("[DEBUG] Task still pending, continuing to poll...") + # Task pending – wait + for i in range(int(self.poll_interval)): + self._display_time_progress_on_node((poll_count - 1) * self.poll_interval + i) + await asyncio.sleep(1) + + except (LocalNetworkError, ApiServerError, NetworkError) as e: + consecutive_errors += 1 + if consecutive_errors >= max_consecutive_errors: + raise Exception( + f"Polling aborted after {consecutive_errors} network errors: {str(e)}" + ) from e + logging.warning("Network error (%s/%s): %s", consecutive_errors, max_consecutive_errors, str(e)) + await asyncio.sleep(self.poll_interval) + except Exception as e: + # For other errors, increment count and potentially abort + consecutive_errors += 1 + if consecutive_errors >= max_consecutive_errors or status == TaskStatus.FAILED: + raise Exception( + f"Polling aborted after {consecutive_errors} consecutive errors: {str(e)}" + ) from e + + logging.error(f"[DEBUG] Polling error: {str(e)}") + logging.warning( + f"Error during polling (attempt {poll_count}/{self.max_poll_attempts}): {str(e)}. " + f"Will retry in {self.poll_interval} seconds." + ) + await asyncio.sleep(self.poll_interval) + + # If we've exhausted all polling attempts + raise Exception( + f"Polling timed out after {self.max_poll_attempts} attempts (" f"{self.max_poll_attempts * self.poll_interval} seconds). " + "The operation may still be running on the server but is taking longer than expected." + ) diff --git a/comfy_api_nodes/apis/gemini_api.py b/comfy_api_nodes/apis/gemini_api.py new file mode 100644 index 0000000000000000000000000000000000000000..138bf035d81360a5cecb4de1f745febba88d7f37 --- /dev/null +++ b/comfy_api_nodes/apis/gemini_api.py @@ -0,0 +1,19 @@ +from __future__ import annotations + +from typing import List, Optional + +from comfy_api_nodes.apis import GeminiGenerationConfig, GeminiContent, GeminiSafetySetting, GeminiSystemInstructionContent, GeminiTool, GeminiVideoMetadata +from pydantic import BaseModel + + +class GeminiImageGenerationConfig(GeminiGenerationConfig): + responseModalities: Optional[List[str]] = None + + +class GeminiImageGenerateContentRequest(BaseModel): + contents: List[GeminiContent] + generationConfig: Optional[GeminiImageGenerationConfig] = None + safetySettings: Optional[List[GeminiSafetySetting]] = None + systemInstruction: Optional[GeminiSystemInstructionContent] = None + tools: Optional[List[GeminiTool]] = None + videoMetadata: Optional[GeminiVideoMetadata] = None diff --git a/comfy_api_nodes/apis/luma_api.py b/comfy_api_nodes/apis/luma_api.py new file mode 100644 index 0000000000000000000000000000000000000000..632c4ab9697a8ab2659dc0171890e739788b286d --- /dev/null +++ b/comfy_api_nodes/apis/luma_api.py @@ -0,0 +1,253 @@ +from __future__ import annotations + + +import torch + +from enum import Enum +from typing import Optional, Union + +from pydantic import BaseModel, Field, confloat + + + +class LumaIO: + LUMA_REF = "LUMA_REF" + LUMA_CONCEPTS = "LUMA_CONCEPTS" + + +class LumaReference: + def __init__(self, image: torch.Tensor, weight: float): + self.image = image + self.weight = weight + + def create_api_model(self, download_url: str): + return LumaImageRef(url=download_url, weight=self.weight) + +class LumaReferenceChain: + def __init__(self, first_ref: LumaReference=None): + self.refs: list[LumaReference] = [] + if first_ref: + self.refs.append(first_ref) + + def add(self, luma_ref: LumaReference=None): + self.refs.append(luma_ref) + + def create_api_model(self, download_urls: list[str], max_refs=4): + if len(self.refs) == 0: + return None + api_refs: list[LumaImageRef] = [] + for ref, url in zip(self.refs, download_urls): + api_ref = LumaImageRef(url=url, weight=ref.weight) + api_refs.append(api_ref) + return api_refs + + def clone(self): + c = LumaReferenceChain() + for ref in self.refs: + c.add(ref) + return c + + +class LumaConcept: + def __init__(self, key: str): + self.key = key + + +class LumaConceptChain: + def __init__(self, str_list: list[str] = None): + self.concepts: list[LumaConcept] = [] + if str_list is not None: + for c in str_list: + if c != "None": + self.add(LumaConcept(key=c)) + + def add(self, concept: LumaConcept): + self.concepts.append(concept) + + def create_api_model(self): + if len(self.concepts) == 0: + return None + api_concepts: list[LumaConceptObject] = [] + for concept in self.concepts: + if concept.key == "None": + continue + api_concepts.append(LumaConceptObject(key=concept.key)) + if len(api_concepts) == 0: + return None + return api_concepts + + def clone(self): + c = LumaConceptChain() + for concept in self.concepts: + c.add(concept) + return c + + def clone_and_merge(self, other: LumaConceptChain): + c = self.clone() + for concept in other.concepts: + c.add(concept) + return c + + +def get_luma_concepts(include_none=False): + concepts = [] + if include_none: + concepts.append("None") + return concepts + [ + "truck_left", + "pan_right", + "pedestal_down", + "low_angle", + "pedestal_up", + "selfie", + "pan_left", + "roll_right", + "zoom_in", + "over_the_shoulder", + "orbit_right", + "orbit_left", + "static", + "tiny_planet", + "high_angle", + "bolt_cam", + "dolly_zoom", + "overhead", + "zoom_out", + "handheld", + "roll_left", + "pov", + "aerial_drone", + "push_in", + "crane_down", + "truck_right", + "tilt_down", + "elevator_doors", + "tilt_up", + "ground_level", + "pull_out", + "aerial", + "crane_up", + "eye_level" + ] + + +class LumaImageModel(str, Enum): + photon_1 = "photon-1" + photon_flash_1 = "photon-flash-1" + + +class LumaVideoModel(str, Enum): + ray_2 = "ray-2" + ray_flash_2 = "ray-flash-2" + ray_1_6 = "ray-1-6" + + +class LumaAspectRatio(str, Enum): + ratio_1_1 = "1:1" + ratio_16_9 = "16:9" + ratio_9_16 = "9:16" + ratio_4_3 = "4:3" + ratio_3_4 = "3:4" + ratio_21_9 = "21:9" + ratio_9_21 = "9:21" + + +class LumaVideoOutputResolution(str, Enum): + res_540p = "540p" + res_720p = "720p" + res_1080p = "1080p" + res_4k = "4k" + + +class LumaVideoModelOutputDuration(str, Enum): + dur_5s = "5s" + dur_9s = "9s" + + +class LumaGenerationType(str, Enum): + video = 'video' + image = 'image' + + +class LumaState(str, Enum): + queued = "queued" + dreaming = "dreaming" + completed = "completed" + failed = "failed" + + +class LumaAssets(BaseModel): + video: Optional[str] = Field(None, description='The URL of the video') + image: Optional[str] = Field(None, description='The URL of the image') + progress_video: Optional[str] = Field(None, description='The URL of the progress video') + + +class LumaImageRef(BaseModel): + '''Used for image gen''' + url: str = Field(..., description='The URL of the image reference') + weight: confloat(ge=0.0, le=1.0) = Field(..., description='The weight of the image reference') + + +class LumaImageReference(BaseModel): + '''Used for video gen''' + type: Optional[str] = Field('image', description='Input type, defaults to image') + url: str = Field(..., description='The URL of the image') + + +class LumaModifyImageRef(BaseModel): + url: str = Field(..., description='The URL of the image reference') + weight: confloat(ge=0.0, le=1.0) = Field(..., description='The weight of the image reference') + + +class LumaCharacterRef(BaseModel): + identity0: LumaImageIdentity = Field(..., description='The image identity object') + + +class LumaImageIdentity(BaseModel): + images: list[str] = Field(..., description='The URLs of the image identity') + + +class LumaGenerationReference(BaseModel): + type: str = Field('generation', description='Input type, defaults to generation') + id: str = Field(..., description='The ID of the generation') + + +class LumaKeyframes(BaseModel): + frame0: Optional[Union[LumaImageReference, LumaGenerationReference]] = Field(None, description='') + frame1: Optional[Union[LumaImageReference, LumaGenerationReference]] = Field(None, description='') + + +class LumaConceptObject(BaseModel): + key: str = Field(..., description='Camera Concept name') + + +class LumaImageGenerationRequest(BaseModel): + prompt: str = Field(..., description='The prompt of the generation') + model: LumaImageModel = Field(LumaImageModel.photon_1, description='The image model used for the generation') + aspect_ratio: Optional[LumaAspectRatio] = Field(LumaAspectRatio.ratio_16_9, description='The aspect ratio of the generation') + image_ref: Optional[list[LumaImageRef]] = Field(None, description='List of image reference objects') + style_ref: Optional[list[LumaImageRef]] = Field(None, description='List of style reference objects') + character_ref: Optional[LumaCharacterRef] = Field(None, description='The image identity object') + modify_image_ref: Optional[LumaModifyImageRef] = Field(None, description='The modify image reference object') + + +class LumaGenerationRequest(BaseModel): + prompt: str = Field(..., description='The prompt of the generation') + model: LumaVideoModel = Field(LumaVideoModel.ray_2, description='The video model used for the generation') + duration: Optional[LumaVideoModelOutputDuration] = Field(None, description='The duration of the generation') + aspect_ratio: Optional[LumaAspectRatio] = Field(None, description='The aspect ratio of the generation') + resolution: Optional[LumaVideoOutputResolution] = Field(None, description='The resolution of the generation') + loop: Optional[bool] = Field(None, description='Whether to loop the video') + keyframes: Optional[LumaKeyframes] = Field(None, description='The keyframes of the generation') + concepts: Optional[list[LumaConceptObject]] = Field(None, description='Camera Concepts to apply to generation') + + +class LumaGeneration(BaseModel): + id: str = Field(..., description='The ID of the generation') + generation_type: LumaGenerationType = Field(..., description='Generation type, image or video') + state: LumaState = Field(..., description='The state of the generation') + failure_reason: Optional[str] = Field(None, description='The reason for the state of the generation') + created_at: str = Field(..., description='The date and time when the generation was created') + assets: Optional[LumaAssets] = Field(None, description='The assets of the generation') + model: str = Field(..., description='The model used for the generation') + request: Union[LumaGenerationRequest, LumaImageGenerationRequest] = Field(..., description="The request used for the generation") diff --git a/comfy_api_nodes/apis/pixverse_api.py b/comfy_api_nodes/apis/pixverse_api.py new file mode 100644 index 0000000000000000000000000000000000000000..9bb29c3835104784087d99821c85f9ddf6ba218c --- /dev/null +++ b/comfy_api_nodes/apis/pixverse_api.py @@ -0,0 +1,146 @@ +from __future__ import annotations + +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field + + +pixverse_templates = { + "Microwave": 324641385496960, + "Suit Swagger": 328545151283968, + "Anything, Robot": 313358700761536, + "Subject 3 Fever": 327828816843648, + "kiss kiss": 315446315336768, +} + + +class PixverseIO: + TEMPLATE = "PIXVERSE_TEMPLATE" + + +class PixverseStatus(int, Enum): + successful = 1 + generating = 5 + deleted = 6 + contents_moderation = 7 + failed = 8 + + +class PixverseAspectRatio(str, Enum): + ratio_16_9 = "16:9" + ratio_4_3 = "4:3" + ratio_1_1 = "1:1" + ratio_3_4 = "3:4" + ratio_9_16 = "9:16" + + +class PixverseQuality(str, Enum): + res_360p = "360p" + res_540p = "540p" + res_720p = "720p" + res_1080p = "1080p" + + +class PixverseDuration(int, Enum): + dur_5 = 5 + dur_8 = 8 + + +class PixverseMotionMode(str, Enum): + normal = "normal" + fast = "fast" + + +class PixverseStyle(str, Enum): + anime = "anime" + animation_3d = "3d_animation" + clay = "clay" + comic = "comic" + cyberpunk = "cyberpunk" + + +# NOTE: forgoing descriptions for now in return for dev speed +class PixverseTextVideoRequest(BaseModel): + aspect_ratio: PixverseAspectRatio = Field(...) + quality: PixverseQuality = Field(...) + duration: PixverseDuration = Field(...) + model: Optional[str] = Field("v3.5") + motion_mode: Optional[PixverseMotionMode] = Field(PixverseMotionMode.normal) + prompt: str = Field(...) + negative_prompt: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + style: Optional[str] = Field(None) + template_id: Optional[int] = Field(None) + water_mark: Optional[bool] = Field(None) + + +class PixverseImageVideoRequest(BaseModel): + quality: PixverseQuality = Field(...) + duration: PixverseDuration = Field(...) + img_id: int = Field(...) + model: Optional[str] = Field("v3.5") + motion_mode: Optional[PixverseMotionMode] = Field(PixverseMotionMode.normal) + prompt: str = Field(...) + negative_prompt: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + style: Optional[str] = Field(None) + template_id: Optional[int] = Field(None) + water_mark: Optional[bool] = Field(None) + + +class PixverseTransitionVideoRequest(BaseModel): + quality: PixverseQuality = Field(...) + duration: PixverseDuration = Field(...) + first_frame_img: int = Field(...) + last_frame_img: int = Field(...) + model: Optional[str] = Field("v3.5") + motion_mode: Optional[PixverseMotionMode] = Field(PixverseMotionMode.normal) + prompt: str = Field(...) + # negative_prompt: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + # style: Optional[str] = Field(None) + # template_id: Optional[int] = Field(None) + # water_mark: Optional[bool] = Field(None) + + +class PixverseImageUploadResponse(BaseModel): + ErrCode: Optional[int] = None + ErrMsg: Optional[str] = None + Resp: Optional[PixverseImgIdResponseObject] = Field(None, alias='Resp') + + +class PixverseImgIdResponseObject(BaseModel): + img_id: Optional[int] = None + + +class PixverseVideoResponse(BaseModel): + ErrCode: Optional[int] = Field(None) + ErrMsg: Optional[str] = Field(None) + Resp: Optional[PixverseVideoIdResponseObject] = Field(None) + + +class PixverseVideoIdResponseObject(BaseModel): + video_id: int = Field(..., description='Video_id') + + +class PixverseGenerationStatusResponse(BaseModel): + ErrCode: Optional[int] = Field(None) + ErrMsg: Optional[str] = Field(None) + Resp: Optional[PixverseGenerationStatusResponseObject] = Field(None) + + +class PixverseGenerationStatusResponseObject(BaseModel): + create_time: Optional[str] = Field(None) + id: Optional[int] = Field(None) + modify_time: Optional[str] = Field(None) + negative_prompt: Optional[str] = Field(None) + outputHeight: Optional[int] = Field(None) + outputWidth: Optional[int] = Field(None) + prompt: Optional[str] = Field(None) + resolution_ratio: Optional[int] = Field(None) + seed: Optional[int] = Field(None) + size: Optional[int] = Field(None) + status: Optional[int] = Field(None) + style: Optional[str] = Field(None) + url: Optional[str] = Field(None) diff --git a/comfy_api_nodes/apis/recraft_api.py b/comfy_api_nodes/apis/recraft_api.py new file mode 100644 index 0000000000000000000000000000000000000000..c36d95f24e6ab53f5790b0ac97f71a26087a410f --- /dev/null +++ b/comfy_api_nodes/apis/recraft_api.py @@ -0,0 +1,262 @@ +from __future__ import annotations + + + +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field, conint, confloat + + +class RecraftColor: + def __init__(self, r: int, g: int, b: int): + self.color = [r, g, b] + + def create_api_model(self): + return RecraftColorObject(rgb=self.color) + + +class RecraftColorChain: + def __init__(self): + self.colors: list[RecraftColor] = [] + + def get_first(self): + if len(self.colors) > 0: + return self.colors[0] + return None + + def add(self, color: RecraftColor): + self.colors.append(color) + + def create_api_model(self): + if not self.colors: + return None + colors_api = [x.create_api_model() for x in self.colors] + return colors_api + + def clone(self): + c = RecraftColorChain() + for color in self.colors: + c.add(color) + return c + + def clone_and_merge(self, other: RecraftColorChain): + c = self.clone() + for color in other.colors: + c.add(color) + return c + + +class RecraftControls: + def __init__(self, colors: RecraftColorChain=None, background_color: RecraftColorChain=None, + artistic_level: int=None, no_text: bool=None): + self.colors = colors + self.background_color = background_color + self.artistic_level = artistic_level + self.no_text = no_text + + def create_api_model(self): + if self.colors is None and self.background_color is None and self.artistic_level is None and self.no_text is None: + return None + colors_api = None + background_color_api = None + if self.colors: + colors_api = self.colors.create_api_model() + if self.background_color: + first_background = self.background_color.get_first() + background_color_api = first_background.create_api_model() if first_background else None + + return RecraftControlsObject(colors=colors_api, background_color=background_color_api, + artistic_level=self.artistic_level, no_text=self.no_text) + + +class RecraftStyle: + def __init__(self, style: str=None, substyle: str=None, style_id: str=None): + self.style = style + if substyle == "None": + substyle = None + self.substyle = substyle + self.style_id = style_id + + +class RecraftIO: + STYLEV3 = "RECRAFT_V3_STYLE" + COLOR = "RECRAFT_COLOR" + CONTROLS = "RECRAFT_CONTROLS" + + +class RecraftStyleV3(str, Enum): + #any = 'any' NOTE: this does not work for some reason... why? + realistic_image = 'realistic_image' + digital_illustration = 'digital_illustration' + vector_illustration = 'vector_illustration' + logo_raster = 'logo_raster' + + +def get_v3_substyles(style_v3: str, include_none=True) -> list[str]: + substyles: list[str] = [] + if include_none: + substyles.append("None") + return substyles + dict_recraft_substyles_v3.get(style_v3, []) + + +dict_recraft_substyles_v3 = { + RecraftStyleV3.realistic_image: [ + "b_and_w", + "enterprise", + "evening_light", + "faded_nostalgia", + "forest_life", + "hard_flash", + "hdr", + "motion_blur", + "mystic_naturalism", + "natural_light", + "natural_tones", + "organic_calm", + "real_life_glow", + "retro_realism", + "retro_snapshot", + "studio_portrait", + "urban_drama", + "village_realism", + "warm_folk" + ], + RecraftStyleV3.digital_illustration: [ + "2d_art_poster", + "2d_art_poster_2", + "antiquarian", + "bold_fantasy", + "child_book", + "child_books", + "cover", + "crosshatch", + "digital_engraving", + "engraving_color", + "expressionism", + "freehand_details", + "grain", + "grain_20", + "graphic_intensity", + "hand_drawn", + "hand_drawn_outline", + "handmade_3d", + "hard_comics", + "infantile_sketch", + "long_shadow", + "modern_folk", + "multicolor", + "neon_calm", + "noir", + "nostalgic_pastel", + "outline_details", + "pastel_gradient", + "pastel_sketch", + "pixel_art", + "plastic", + "pop_art", + "pop_renaissance", + "seamless", + "street_art", + "tablet_sketch", + "urban_glow", + "urban_sketching", + "vanilla_dreams", + "young_adult_book", + "young_adult_book_2" + ], + RecraftStyleV3.vector_illustration: [ + "bold_stroke", + "chemistry", + "colored_stencil", + "contour_pop_art", + "cosmics", + "cutout", + "depressive", + "editorial", + "emotional_flat", + "engraving", + "infographical", + "line_art", + "line_circuit", + "linocut", + "marker_outline", + "mosaic", + "naivector", + "roundish_flat", + "seamless", + "segmented_colors", + "sharp_contrast", + "thin", + "vector_photo", + "vivid_shapes" + ], + RecraftStyleV3.logo_raster: [ + "emblem_graffiti", + "emblem_pop_art", + "emblem_punk", + "emblem_stamp", + "emblem_vintage" + ], +} + + +class RecraftModel(str, Enum): + recraftv3 = 'recraftv3' + recraftv2 = 'recraftv2' + + +class RecraftImageSize(str, Enum): + res_1024x1024 = '1024x1024' + res_1365x1024 = '1365x1024' + res_1024x1365 = '1024x1365' + res_1536x1024 = '1536x1024' + res_1024x1536 = '1024x1536' + res_1820x1024 = '1820x1024' + res_1024x1820 = '1024x1820' + res_1024x2048 = '1024x2048' + res_2048x1024 = '2048x1024' + res_1434x1024 = '1434x1024' + res_1024x1434 = '1024x1434' + res_1024x1280 = '1024x1280' + res_1280x1024 = '1280x1024' + res_1024x1707 = '1024x1707' + res_1707x1024 = '1707x1024' + + +class RecraftColorObject(BaseModel): + rgb: list[int] = Field(..., description='An array of 3 integer values in range of 0...255 defining RGB Color Model') + + +class RecraftControlsObject(BaseModel): + colors: Optional[list[RecraftColorObject]] = Field(None, description='An array of preferable colors') + background_color: Optional[RecraftColorObject] = Field(None, description='Use given color as a desired background color') + no_text: Optional[bool] = Field(None, description='Do not embed text layouts') + artistic_level: Optional[conint(ge=0, le=5)] = Field(None, description='Defines artistic tone of your image. At a simple level, the person looks straight at the camera in a static and clean style. Dynamic and eccentric levels introduce movement and creativity. The value should be in range [0..5].') + + +class RecraftImageGenerationRequest(BaseModel): + prompt: str = Field(..., description='The text prompt describing the image to generate') + size: Optional[RecraftImageSize] = Field(None, description='The size of the generated image (e.g., "1024x1024")') + n: conint(ge=1, le=6) = Field(..., description='The number of images to generate') + negative_prompt: Optional[str] = Field(None, description='A text description of undesired elements on an image') + model: Optional[RecraftModel] = Field(RecraftModel.recraftv3, description='The model to use for generation (e.g., "recraftv3")') + style: Optional[str] = Field(None, description='The style to apply to the generated image (e.g., "digital_illustration")') + substyle: Optional[str] = Field(None, description='The substyle to apply to the generated image, depending on the style input') + controls: Optional[RecraftControlsObject] = Field(None, description='A set of custom parameters to tweak generation process') + style_id: Optional[str] = Field(None, description='Use a previously uploaded style as a reference; UUID') + strength: Optional[confloat(ge=0.0, le=1.0)] = Field(None, description='Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity') + random_seed: Optional[int] = Field(None, description="Seed for video generation") + # text_layout + + +class RecraftReturnedObject(BaseModel): + image_id: str = Field(..., description='Unique identifier for the generated image') + url: str = Field(..., description='URL to access the generated image') + + +class RecraftImageGenerationResponse(BaseModel): + created: int = Field(..., description='Unix timestamp when the generation was created') + credits: int = Field(..., description='Number of credits used for the generation') + data: Optional[list[RecraftReturnedObject]] = Field(None, description='Array of generated image information') + image: Optional[RecraftReturnedObject] = Field(None, description='Single generated image') diff --git a/comfy_api_nodes/apis/request_logger.py b/comfy_api_nodes/apis/request_logger.py new file mode 100644 index 0000000000000000000000000000000000000000..42901e1413dab54fe5fa6454878292009582492c --- /dev/null +++ b/comfy_api_nodes/apis/request_logger.py @@ -0,0 +1,127 @@ +from __future__ import annotations + +import os +import datetime +import json +import logging +import folder_paths + +# Get the logger instance +logger = logging.getLogger(__name__) + +def get_log_directory(): + """ + Ensures the API log directory exists within ComfyUI's temp directory + and returns its path. + """ + base_temp_dir = folder_paths.get_temp_directory() + log_dir = os.path.join(base_temp_dir, "api_logs") + try: + os.makedirs(log_dir, exist_ok=True) + except Exception as e: + logger.error(f"Error creating API log directory {log_dir}: {e}") + # Fallback to base temp directory if sub-directory creation fails + return base_temp_dir + return log_dir + +def _format_data_for_logging(data): + """Helper to format data (dict, str, bytes) for logging.""" + if isinstance(data, bytes): + try: + return data.decode('utf-8') # Try to decode as text + except UnicodeDecodeError: + return f"[Binary data of length {len(data)} bytes]" + elif isinstance(data, (dict, list)): + try: + return json.dumps(data, indent=2, ensure_ascii=False) + except TypeError: + return str(data) # Fallback for non-serializable objects + return str(data) + +def log_request_response( + operation_id: str, + request_method: str, + request_url: str, + request_headers: dict | None = None, + request_params: dict | None = None, + request_data: any = None, + response_status_code: int | None = None, + response_headers: dict | None = None, + response_content: any = None, + error_message: str | None = None +): + """ + Logs API request and response details to a file in the temp/api_logs directory. + """ + log_dir = get_log_directory() + timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S_%f") + filename = f"{timestamp}_{operation_id.replace('/', '_').replace(':', '_')}.log" + filepath = os.path.join(log_dir, filename) + + log_content = [] + + log_content.append(f"Timestamp: {datetime.datetime.now().isoformat()}") + log_content.append(f"Operation ID: {operation_id}") + log_content.append("-" * 30 + " REQUEST " + "-" * 30) + log_content.append(f"Method: {request_method}") + log_content.append(f"URL: {request_url}") + if request_headers: + log_content.append(f"Headers:\n{_format_data_for_logging(request_headers)}") + if request_params: + log_content.append(f"Params:\n{_format_data_for_logging(request_params)}") + if request_data: + log_content.append(f"Data/Body:\n{_format_data_for_logging(request_data)}") + + log_content.append("\n" + "-" * 30 + " RESPONSE " + "-" * 30) + if response_status_code is not None: + log_content.append(f"Status Code: {response_status_code}") + if response_headers: + log_content.append(f"Headers:\n{_format_data_for_logging(response_headers)}") + if response_content: + log_content.append(f"Content:\n{_format_data_for_logging(response_content)}") + if error_message: + log_content.append(f"Error:\n{error_message}") + + try: + with open(filepath, "w", encoding="utf-8") as f: + f.write("\n".join(log_content)) + logger.debug(f"API log saved to: {filepath}") + except Exception as e: + logger.error(f"Error writing API log to {filepath}: {e}") + +if __name__ == '__main__': + # Example usage (for testing the logger directly) + logger.setLevel(logging.DEBUG) + # Mock folder_paths for direct execution if not running within ComfyUI full context + if not hasattr(folder_paths, 'get_temp_directory'): + class MockFolderPaths: + def get_temp_directory(self): + # Create a local temp dir for testing if needed + p = os.path.join(os.path.dirname(__file__), 'temp_test_logs') + os.makedirs(p, exist_ok=True) + return p + folder_paths = MockFolderPaths() + + log_request_response( + operation_id="test_operation_get", + request_method="GET", + request_url="https://api.example.com/test", + request_headers={"Authorization": "Bearer testtoken"}, + request_params={"param1": "value1"}, + response_status_code=200, + response_content={"message": "Success!"} + ) + log_request_response( + operation_id="test_operation_post_error", + request_method="POST", + request_url="https://api.example.com/submit", + request_data={"key": "value", "nested": {"num": 123}}, + error_message="Connection timed out" + ) + log_request_response( + operation_id="test_binary_response", + request_method="GET", + request_url="https://api.example.com/image.png", + response_status_code=200, + response_content=b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR...' # Sample binary data + ) diff --git a/comfy_api_nodes/apis/rodin_api.py b/comfy_api_nodes/apis/rodin_api.py new file mode 100644 index 0000000000000000000000000000000000000000..b0cf171fa636a0571f2e771732c0cc7f7536835b --- /dev/null +++ b/comfy_api_nodes/apis/rodin_api.py @@ -0,0 +1,57 @@ +from __future__ import annotations + +from enum import Enum +from typing import Optional, List +from pydantic import BaseModel, Field + + +class Rodin3DGenerateRequest(BaseModel): + seed: int = Field(..., description="seed_") + tier: str = Field(..., description="Tier of generation.") + material: str = Field(..., description="The material type.") + quality: str = Field(..., description="The generation quality of the mesh.") + mesh_mode: str = Field(..., description="It controls the type of faces of generated models.") + +class GenerateJobsData(BaseModel): + uuids: List[str] = Field(..., description="str LIST") + subscription_key: str = Field(..., description="subscription key") + +class Rodin3DGenerateResponse(BaseModel): + message: Optional[str] = Field(None, description="Return message.") + prompt: Optional[str] = Field(None, description="Generated Prompt from image.") + submit_time: Optional[str] = Field(None, description="Submit Time") + uuid: Optional[str] = Field(None, description="Task str") + jobs: Optional[GenerateJobsData] = Field(None, description="Details of jobs") + +class JobStatus(str, Enum): + """ + Status for jobs + """ + Done = "Done" + Failed = "Failed" + Generating = "Generating" + Waiting = "Waiting" + +class Rodin3DCheckStatusRequest(BaseModel): + subscription_key: str = Field(..., description="subscription from generate endpoint") + +class JobItem(BaseModel): + uuid: str = Field(..., description="uuid") + status: JobStatus = Field(...,description="Status Currently") + +class Rodin3DCheckStatusResponse(BaseModel): + jobs: List[JobItem] = Field(..., description="Job status List") + +class Rodin3DDownloadRequest(BaseModel): + task_uuid: str = Field(..., description="Task str") + +class RodinResourceItem(BaseModel): + url: str = Field(..., description="Download Url") + name: str = Field(..., description="File name with ext") + +class Rodin3DDownloadResponse(BaseModel): + list: List[RodinResourceItem] = Field(..., description="Source List") + + + + diff --git a/comfy_api_nodes/apis/stability_api.py b/comfy_api_nodes/apis/stability_api.py new file mode 100644 index 0000000000000000000000000000000000000000..7183601873b730b8e08e0ce0afefb93604656fb6 --- /dev/null +++ b/comfy_api_nodes/apis/stability_api.py @@ -0,0 +1,149 @@ +from __future__ import annotations + +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field, confloat + + +class StabilityFormat(str, Enum): + png = 'png' + jpeg = 'jpeg' + webp = 'webp' + + +class StabilityAspectRatio(str, Enum): + ratio_1_1 = "1:1" + ratio_16_9 = "16:9" + ratio_9_16 = "9:16" + ratio_3_2 = "3:2" + ratio_2_3 = "2:3" + ratio_5_4 = "5:4" + ratio_4_5 = "4:5" + ratio_21_9 = "21:9" + ratio_9_21 = "9:21" + + +def get_stability_style_presets(include_none=True): + presets = [] + if include_none: + presets.append("None") + return presets + [x.value for x in StabilityStylePreset] + + +class StabilityStylePreset(str, Enum): + _3d_model = "3d-model" + analog_film = "analog-film" + anime = "anime" + cinematic = "cinematic" + comic_book = "comic-book" + digital_art = "digital-art" + enhance = "enhance" + fantasy_art = "fantasy-art" + isometric = "isometric" + line_art = "line-art" + low_poly = "low-poly" + modeling_compound = "modeling-compound" + neon_punk = "neon-punk" + origami = "origami" + photographic = "photographic" + pixel_art = "pixel-art" + tile_texture = "tile-texture" + + +class Stability_SD3_5_Model(str, Enum): + sd3_5_large = "sd3.5-large" + # sd3_5_large_turbo = "sd3.5-large-turbo" + sd3_5_medium = "sd3.5-medium" + + +class Stability_SD3_5_GenerationMode(str, Enum): + text_to_image = "text-to-image" + image_to_image = "image-to-image" + + +class StabilityStable3_5Request(BaseModel): + model: str = Field(...) + mode: str = Field(...) + prompt: str = Field(...) + negative_prompt: Optional[str] = Field(None) + aspect_ratio: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + output_format: Optional[str] = Field(StabilityFormat.png.value) + image: Optional[str] = Field(None) + style_preset: Optional[str] = Field(None) + cfg_scale: float = Field(...) + strength: Optional[confloat(ge=0.0, le=1.0)] = Field(None) + + +class StabilityUpscaleConservativeRequest(BaseModel): + prompt: str = Field(...) + negative_prompt: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + output_format: Optional[str] = Field(StabilityFormat.png.value) + image: Optional[str] = Field(None) + creativity: Optional[confloat(ge=0.2, le=0.5)] = Field(None) + + +class StabilityUpscaleCreativeRequest(BaseModel): + prompt: str = Field(...) + negative_prompt: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + output_format: Optional[str] = Field(StabilityFormat.png.value) + image: Optional[str] = Field(None) + creativity: Optional[confloat(ge=0.1, le=0.5)] = Field(None) + style_preset: Optional[str] = Field(None) + + +class StabilityStableUltraRequest(BaseModel): + prompt: str = Field(...) + negative_prompt: Optional[str] = Field(None) + aspect_ratio: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + output_format: Optional[str] = Field(StabilityFormat.png.value) + image: Optional[str] = Field(None) + style_preset: Optional[str] = Field(None) + strength: Optional[confloat(ge=0.0, le=1.0)] = Field(None) + + +class StabilityStableUltraResponse(BaseModel): + image: Optional[str] = Field(None) + finish_reason: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + + +class StabilityResultsGetResponse(BaseModel): + image: Optional[str] = Field(None) + finish_reason: Optional[str] = Field(None) + seed: Optional[int] = Field(None) + id: Optional[str] = Field(None) + name: Optional[str] = Field(None) + errors: Optional[list[str]] = Field(None) + status: Optional[str] = Field(None) + result: Optional[str] = Field(None) + + +class StabilityAsyncResponse(BaseModel): + id: Optional[str] = Field(None) + + +class StabilityTextToAudioRequest(BaseModel): + model: str = Field(...) + prompt: str = Field(...) + duration: int = Field(190, ge=1, le=190) + seed: int = Field(0, ge=0, le=4294967294) + steps: int = Field(8, ge=4, le=8) + output_format: str = Field("wav") + + +class StabilityAudioToAudioRequest(StabilityTextToAudioRequest): + strength: float = Field(0.01, ge=0.01, le=1.0) + + +class StabilityAudioInpaintRequest(StabilityTextToAudioRequest): + mask_start: int = Field(30, ge=0, le=190) + mask_end: int = Field(190, ge=0, le=190) + + +class StabilityAudioResponse(BaseModel): + audio: Optional[str] = Field(None) diff --git a/comfy_api_nodes/apis/tripo_api.py b/comfy_api_nodes/apis/tripo_api.py new file mode 100644 index 0000000000000000000000000000000000000000..9f43d4d0901bb24170f9b628b6aea4d157e21deb --- /dev/null +++ b/comfy_api_nodes/apis/tripo_api.py @@ -0,0 +1,275 @@ +from __future__ import annotations +from comfy_api_nodes.apis import ( + TripoModelVersion, + TripoTextureQuality, +) +from enum import Enum +from typing import Optional, List, Dict, Any, Union + +from pydantic import BaseModel, Field, RootModel + +class TripoStyle(str, Enum): + PERSON_TO_CARTOON = "person:person2cartoon" + ANIMAL_VENOM = "animal:venom" + OBJECT_CLAY = "object:clay" + OBJECT_STEAMPUNK = "object:steampunk" + OBJECT_CHRISTMAS = "object:christmas" + OBJECT_BARBIE = "object:barbie" + GOLD = "gold" + ANCIENT_BRONZE = "ancient_bronze" + NONE = "None" + +class TripoTaskType(str, Enum): + TEXT_TO_MODEL = "text_to_model" + IMAGE_TO_MODEL = "image_to_model" + MULTIVIEW_TO_MODEL = "multiview_to_model" + TEXTURE_MODEL = "texture_model" + REFINE_MODEL = "refine_model" + ANIMATE_PRERIGCHECK = "animate_prerigcheck" + ANIMATE_RIG = "animate_rig" + ANIMATE_RETARGET = "animate_retarget" + STYLIZE_MODEL = "stylize_model" + CONVERT_MODEL = "convert_model" + +class TripoTextureAlignment(str, Enum): + ORIGINAL_IMAGE = "original_image" + GEOMETRY = "geometry" + +class TripoOrientation(str, Enum): + ALIGN_IMAGE = "align_image" + DEFAULT = "default" + +class TripoOutFormat(str, Enum): + GLB = "glb" + FBX = "fbx" + +class TripoTopology(str, Enum): + BIP = "bip" + QUAD = "quad" + +class TripoSpec(str, Enum): + MIXAMO = "mixamo" + TRIPO = "tripo" + +class TripoAnimation(str, Enum): + IDLE = "preset:idle" + WALK = "preset:walk" + CLIMB = "preset:climb" + JUMP = "preset:jump" + RUN = "preset:run" + SLASH = "preset:slash" + SHOOT = "preset:shoot" + HURT = "preset:hurt" + FALL = "preset:fall" + TURN = "preset:turn" + +class TripoStylizeStyle(str, Enum): + LEGO = "lego" + VOXEL = "voxel" + VORONOI = "voronoi" + MINECRAFT = "minecraft" + +class TripoConvertFormat(str, Enum): + GLTF = "GLTF" + USDZ = "USDZ" + FBX = "FBX" + OBJ = "OBJ" + STL = "STL" + _3MF = "3MF" + +class TripoTextureFormat(str, Enum): + BMP = "BMP" + DPX = "DPX" + HDR = "HDR" + JPEG = "JPEG" + OPEN_EXR = "OPEN_EXR" + PNG = "PNG" + TARGA = "TARGA" + TIFF = "TIFF" + WEBP = "WEBP" + +class TripoTaskStatus(str, Enum): + QUEUED = "queued" + RUNNING = "running" + SUCCESS = "success" + FAILED = "failed" + CANCELLED = "cancelled" + UNKNOWN = "unknown" + BANNED = "banned" + EXPIRED = "expired" + +class TripoFileTokenReference(BaseModel): + type: Optional[str] = Field(None, description='The type of the reference') + file_token: str + +class TripoUrlReference(BaseModel): + type: Optional[str] = Field(None, description='The type of the reference') + url: str + +class TripoObjectStorage(BaseModel): + bucket: str + key: str + +class TripoObjectReference(BaseModel): + type: str + object: TripoObjectStorage + +class TripoFileEmptyReference(BaseModel): + pass + +class TripoFileReference(RootModel): + root: Union[TripoFileTokenReference, TripoUrlReference, TripoObjectReference, TripoFileEmptyReference] + +class TripoGetStsTokenRequest(BaseModel): + format: str = Field(..., description='The format of the image') + +class TripoTextToModelRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.TEXT_TO_MODEL, description='Type of task') + prompt: str = Field(..., description='The text prompt describing the model to generate', max_length=1024) + negative_prompt: Optional[str] = Field(None, description='The negative text prompt', max_length=1024) + model_version: Optional[TripoModelVersion] = TripoModelVersion.v2_5_20250123 + face_limit: Optional[int] = Field(None, description='The number of faces to limit the generation to') + texture: Optional[bool] = Field(True, description='Whether to apply texture to the generated model') + pbr: Optional[bool] = Field(True, description='Whether to apply PBR to the generated model') + image_seed: Optional[int] = Field(None, description='The seed for the text') + model_seed: Optional[int] = Field(None, description='The seed for the model') + texture_seed: Optional[int] = Field(None, description='The seed for the texture') + texture_quality: Optional[TripoTextureQuality] = TripoTextureQuality.standard + style: Optional[TripoStyle] = None + auto_size: Optional[bool] = Field(False, description='Whether to auto-size the model') + quad: Optional[bool] = Field(False, description='Whether to apply quad to the generated model') + +class TripoImageToModelRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.IMAGE_TO_MODEL, description='Type of task') + file: TripoFileReference = Field(..., description='The file reference to convert to a model') + model_version: Optional[TripoModelVersion] = Field(None, description='The model version to use for generation') + face_limit: Optional[int] = Field(None, description='The number of faces to limit the generation to') + texture: Optional[bool] = Field(True, description='Whether to apply texture to the generated model') + pbr: Optional[bool] = Field(True, description='Whether to apply PBR to the generated model') + model_seed: Optional[int] = Field(None, description='The seed for the model') + texture_seed: Optional[int] = Field(None, description='The seed for the texture') + texture_quality: Optional[TripoTextureQuality] = TripoTextureQuality.standard + texture_alignment: Optional[TripoTextureAlignment] = Field(TripoTextureAlignment.ORIGINAL_IMAGE, description='The texture alignment method') + style: Optional[TripoStyle] = Field(None, description='The style to apply to the generated model') + auto_size: Optional[bool] = Field(False, description='Whether to auto-size the model') + orientation: Optional[TripoOrientation] = TripoOrientation.DEFAULT + quad: Optional[bool] = Field(False, description='Whether to apply quad to the generated model') + +class TripoMultiviewToModelRequest(BaseModel): + type: TripoTaskType = TripoTaskType.MULTIVIEW_TO_MODEL + files: List[TripoFileReference] = Field(..., description='The file references to convert to a model') + model_version: Optional[TripoModelVersion] = Field(None, description='The model version to use for generation') + orthographic_projection: Optional[bool] = Field(False, description='Whether to use orthographic projection') + face_limit: Optional[int] = Field(None, description='The number of faces to limit the generation to') + texture: Optional[bool] = Field(True, description='Whether to apply texture to the generated model') + pbr: Optional[bool] = Field(True, description='Whether to apply PBR to the generated model') + model_seed: Optional[int] = Field(None, description='The seed for the model') + texture_seed: Optional[int] = Field(None, description='The seed for the texture') + texture_quality: Optional[TripoTextureQuality] = TripoTextureQuality.standard + texture_alignment: Optional[TripoTextureAlignment] = TripoTextureAlignment.ORIGINAL_IMAGE + auto_size: Optional[bool] = Field(False, description='Whether to auto-size the model') + orientation: Optional[TripoOrientation] = Field(TripoOrientation.DEFAULT, description='The orientation for the model') + quad: Optional[bool] = Field(False, description='Whether to apply quad to the generated model') + +class TripoTextureModelRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.TEXTURE_MODEL, description='Type of task') + original_model_task_id: str = Field(..., description='The task ID of the original model') + texture: Optional[bool] = Field(True, description='Whether to apply texture to the model') + pbr: Optional[bool] = Field(True, description='Whether to apply PBR to the model') + model_seed: Optional[int] = Field(None, description='The seed for the model') + texture_seed: Optional[int] = Field(None, description='The seed for the texture') + texture_quality: Optional[TripoTextureQuality] = Field(None, description='The quality of the texture') + texture_alignment: Optional[TripoTextureAlignment] = Field(TripoTextureAlignment.ORIGINAL_IMAGE, description='The texture alignment method') + +class TripoRefineModelRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.REFINE_MODEL, description='Type of task') + draft_model_task_id: str = Field(..., description='The task ID of the draft model') + +class TripoAnimatePrerigcheckRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.ANIMATE_PRERIGCHECK, description='Type of task') + original_model_task_id: str = Field(..., description='The task ID of the original model') + +class TripoAnimateRigRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.ANIMATE_RIG, description='Type of task') + original_model_task_id: str = Field(..., description='The task ID of the original model') + out_format: Optional[TripoOutFormat] = Field(TripoOutFormat.GLB, description='The output format') + spec: Optional[TripoSpec] = Field(TripoSpec.TRIPO, description='The specification for rigging') + +class TripoAnimateRetargetRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.ANIMATE_RETARGET, description='Type of task') + original_model_task_id: str = Field(..., description='The task ID of the original model') + animation: TripoAnimation = Field(..., description='The animation to apply') + out_format: Optional[TripoOutFormat] = Field(TripoOutFormat.GLB, description='The output format') + bake_animation: Optional[bool] = Field(True, description='Whether to bake the animation') + +class TripoStylizeModelRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.STYLIZE_MODEL, description='Type of task') + style: TripoStylizeStyle = Field(..., description='The style to apply to the model') + original_model_task_id: str = Field(..., description='The task ID of the original model') + block_size: Optional[int] = Field(80, description='The block size for stylization') + +class TripoConvertModelRequest(BaseModel): + type: TripoTaskType = Field(TripoTaskType.CONVERT_MODEL, description='Type of task') + format: TripoConvertFormat = Field(..., description='The format to convert to') + original_model_task_id: str = Field(..., description='The task ID of the original model') + quad: Optional[bool] = Field(False, description='Whether to apply quad to the model') + force_symmetry: Optional[bool] = Field(False, description='Whether to force symmetry') + face_limit: Optional[int] = Field(10000, description='The number of faces to limit the conversion to') + flatten_bottom: Optional[bool] = Field(False, description='Whether to flatten the bottom of the model') + flatten_bottom_threshold: Optional[float] = Field(0.01, description='The threshold for flattening the bottom') + texture_size: Optional[int] = Field(4096, description='The size of the texture') + texture_format: Optional[TripoTextureFormat] = Field(TripoTextureFormat.JPEG, description='The format of the texture') + pivot_to_center_bottom: Optional[bool] = Field(False, description='Whether to pivot to the center bottom') + +class TripoTaskRequest(RootModel): + root: Union[ + TripoTextToModelRequest, + TripoImageToModelRequest, + TripoMultiviewToModelRequest, + TripoTextureModelRequest, + TripoRefineModelRequest, + TripoAnimatePrerigcheckRequest, + TripoAnimateRigRequest, + TripoAnimateRetargetRequest, + TripoStylizeModelRequest, + TripoConvertModelRequest + ] + +class TripoTaskOutput(BaseModel): + model: Optional[str] = Field(None, description='URL to the model') + base_model: Optional[str] = Field(None, description='URL to the base model') + pbr_model: Optional[str] = Field(None, description='URL to the PBR model') + rendered_image: Optional[str] = Field(None, description='URL to the rendered image') + riggable: Optional[bool] = Field(None, description='Whether the model is riggable') + +class TripoTask(BaseModel): + task_id: str = Field(..., description='The task ID') + type: Optional[str] = Field(None, description='The type of task') + status: Optional[TripoTaskStatus] = Field(None, description='The status of the task') + input: Optional[Dict[str, Any]] = Field(None, description='The input parameters for the task') + output: Optional[TripoTaskOutput] = Field(None, description='The output of the task') + progress: Optional[int] = Field(None, description='The progress of the task', ge=0, le=100) + create_time: Optional[int] = Field(None, description='The creation time of the task') + running_left_time: Optional[int] = Field(None, description='The estimated time left for the task') + queue_position: Optional[int] = Field(None, description='The position in the queue') + +class TripoTaskResponse(BaseModel): + code: int = Field(0, description='The response code') + data: TripoTask = Field(..., description='The task data') + +class TripoGeneralResponse(BaseModel): + code: int = Field(0, description='The response code') + data: Dict[str, str] = Field(..., description='The task ID data') + +class TripoBalanceData(BaseModel): + balance: float = Field(..., description='The account balance') + frozen: float = Field(..., description='The frozen balance') + +class TripoBalanceResponse(BaseModel): + code: int = Field(0, description='The response code') + data: TripoBalanceData = Field(..., description='The balance data') + +class TripoErrorResponse(BaseModel): + code: int = Field(..., description='The error code') + message: str = Field(..., description='The error message') + suggestion: str = Field(..., description='The suggestion for fixing the error') diff --git a/comfy_api_nodes/canary.py b/comfy_api_nodes/canary.py new file mode 100644 index 0000000000000000000000000000000000000000..4df7590b64fea8f6f3f77fde912cb2f64fdad357 --- /dev/null +++ b/comfy_api_nodes/canary.py @@ -0,0 +1,10 @@ +import av + +ver = av.__version__.split(".") +if int(ver[0]) < 14: + raise Exception("INSTALL NEW VERSION OF PYAV TO USE API NODES.") + +if int(ver[0]) == 14 and int(ver[1]) < 2: + raise Exception("INSTALL NEW VERSION OF PYAV TO USE API NODES.") + +NODE_CLASS_MAPPINGS = {} diff --git a/comfy_api_nodes/mapper_utils.py b/comfy_api_nodes/mapper_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6fab8f4bbc6ce4495ce41588f2fba8103abeffeb --- /dev/null +++ b/comfy_api_nodes/mapper_utils.py @@ -0,0 +1,116 @@ +from enum import Enum + +from pydantic.fields import FieldInfo +from pydantic import BaseModel +from pydantic_core import PydanticUndefined + +from comfy.comfy_types.node_typing import IO, InputTypeOptions + +NodeInput = tuple[IO, InputTypeOptions] + + +def _create_base_config(field_info: FieldInfo) -> InputTypeOptions: + config = {} + if hasattr(field_info, "default") and field_info.default is not PydanticUndefined: + config["default"] = field_info.default + if hasattr(field_info, "description") and field_info.description is not None: + config["tooltip"] = field_info.description + return config + + +def _get_number_constraints_config(field_info: FieldInfo) -> dict: + config = {} + if hasattr(field_info, "metadata"): + metadata = field_info.metadata + for constraint in metadata: + if hasattr(constraint, "ge"): + config["min"] = constraint.ge + if hasattr(constraint, "le"): + config["max"] = constraint.le + if hasattr(constraint, "multiple_of"): + config["step"] = constraint.multiple_of + return config + + +def _model_field_to_image_input(field_info: FieldInfo, **kwargs) -> NodeInput: + return IO.IMAGE, { + **_create_base_config(field_info), + **kwargs, + } + + +def _model_field_to_string_input(field_info: FieldInfo, **kwargs) -> NodeInput: + return IO.STRING, { + **_create_base_config(field_info), + **kwargs, + } + + +def _model_field_to_float_input(field_info: FieldInfo, **kwargs) -> NodeInput: + return IO.FLOAT, { + **_create_base_config(field_info), + **_get_number_constraints_config(field_info), + **kwargs, + } + + +def _model_field_to_int_input(field_info: FieldInfo, **kwargs) -> NodeInput: + return IO.INT, { + **_create_base_config(field_info), + **_get_number_constraints_config(field_info), + **kwargs, + } + + +def _model_field_to_combo_input( + field_info: FieldInfo, enum_type: type[Enum] = None, **kwargs +) -> NodeInput: + combo_config = {} + if enum_type is not None: + combo_config["options"] = [option.value for option in enum_type] + combo_config = { + **combo_config, + **_create_base_config(field_info), + **kwargs, + } + return IO.COMBO, combo_config + + +def model_field_to_node_input( + input_type: IO, base_model: type[BaseModel], field_name: str, **kwargs +) -> NodeInput: + """ + Maps a field from a Pydantic model to a Comfy node input. + + Args: + input_type: The type of the input. + base_model: The Pydantic model to map the field from. + field_name: The name of the field to map. + **kwargs: Additional key/values to include in the input options. + + Note: + For combo inputs, pass an `Enum` to the `enum_type` keyword argument to populate the options automatically. + + Example: + >>> model_field_to_node_input(IO.STRING, MyModel, "my_field", multiline=True) + >>> model_field_to_node_input(IO.COMBO, MyModel, "my_field", enum_type=MyEnum) + >>> model_field_to_node_input(IO.FLOAT, MyModel, "my_field", slider=True) + """ + field_info: FieldInfo = base_model.model_fields[field_name] + result: NodeInput + + if input_type == IO.IMAGE: + result = _model_field_to_image_input(field_info, **kwargs) + elif input_type == IO.STRING: + result = _model_field_to_string_input(field_info, **kwargs) + elif input_type == IO.FLOAT: + result = _model_field_to_float_input(field_info, **kwargs) + elif input_type == IO.INT: + result = _model_field_to_int_input(field_info, **kwargs) + elif input_type == IO.COMBO: + result = _model_field_to_combo_input(field_info, **kwargs) + else: + message = f"Invalid input type: {input_type}" + raise ValueError(message) + + return result diff --git a/comfy_api_nodes/nodes_bfl.py b/comfy_api_nodes/nodes_bfl.py new file mode 100644 index 0000000000000000000000000000000000000000..c09be8d5bf22d1e70abc344d20ac3cedabf9aa16 --- /dev/null +++ b/comfy_api_nodes/nodes_bfl.py @@ -0,0 +1,1077 @@ +import asyncio +import io +from inspect import cleandoc +from typing import Union, Optional +from comfy.comfy_types.node_typing import IO, ComfyNodeABC +from comfy_api_nodes.apis.bfl_api import ( + BFLStatus, + BFLFluxExpandImageRequest, + BFLFluxFillImageRequest, + BFLFluxCannyImageRequest, + BFLFluxDepthImageRequest, + BFLFluxProGenerateRequest, + BFLFluxKontextProGenerateRequest, + BFLFluxProUltraGenerateRequest, + BFLFluxProGenerateResponse, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, +) +from comfy_api_nodes.apinode_utils import ( + downscale_image_tensor, + validate_aspect_ratio, + process_image_response, + resize_mask_to_image, + validate_string, +) + +import numpy as np +from PIL import Image +import aiohttp +import torch +import base64 +import time +from server import PromptServer + + +def convert_mask_to_image(mask: torch.Tensor): + """ + Make mask have the expected amount of dims (4) and channels (3) to be recognized as an image. + """ + mask = mask.unsqueeze(-1) + mask = torch.cat([mask]*3, dim=-1) + return mask + + +async def handle_bfl_synchronous_operation( + operation: SynchronousOperation, + timeout_bfl_calls=360, + node_id: Union[str, None] = None, +): + response_api: BFLFluxProGenerateResponse = await operation.execute() + return await _poll_until_generated( + response_api.polling_url, timeout=timeout_bfl_calls, node_id=node_id + ) + + +async def _poll_until_generated( + polling_url: str, timeout=360, node_id: Union[str, None] = None +): + # used bfl-comfy-nodes to verify code implementation: + # https://github.com/black-forest-labs/bfl-comfy-nodes/tree/main + start_time = time.time() + retries_404 = 0 + max_retries_404 = 5 + retry_404_seconds = 2 + retry_202_seconds = 2 + retry_pending_seconds = 1 + + async with aiohttp.ClientSession() as session: + # NOTE: should True loop be replaced with checking if workflow has been interrupted? + while True: + if node_id: + time_elapsed = time.time() - start_time + PromptServer.instance.send_progress_text( + f"Generating ({time_elapsed:.0f}s)", node_id + ) + + async with session.get(polling_url) as response: + if response.status == 200: + result = await response.json() + if result["status"] == BFLStatus.ready: + img_url = result["result"]["sample"] + if node_id: + PromptServer.instance.send_progress_text( + f"Result URL: {img_url}", node_id + ) + async with session.get(img_url) as img_resp: + return process_image_response(await img_resp.content.read()) + elif result["status"] in [ + BFLStatus.request_moderated, + BFLStatus.content_moderated, + ]: + status = result["status"] + raise Exception( + f"BFL API did not return an image due to: {status}." + ) + elif result["status"] == BFLStatus.error: + raise Exception(f"BFL API encountered an error: {result}.") + elif result["status"] == BFLStatus.pending: + await asyncio.sleep(retry_pending_seconds) + continue + elif response.status == 404: + if retries_404 < max_retries_404: + retries_404 += 1 + await asyncio.sleep(retry_404_seconds) + continue + raise Exception( + f"BFL API could not find task after {max_retries_404} tries." + ) + elif response.status == 202: + await asyncio.sleep(retry_202_seconds) + elif time.time() - start_time > timeout: + raise Exception( + f"BFL API experienced a timeout; could not return request under {timeout} seconds." + ) + else: + raise Exception(f"BFL API encountered an error: {response.json()}") + +def convert_image_to_base64(image: torch.Tensor): + scaled_image = downscale_image_tensor(image, total_pixels=2048 * 2048) + # remove batch dimension if present + if len(scaled_image.shape) > 3: + scaled_image = scaled_image[0] + image_np = (scaled_image.numpy() * 255).astype(np.uint8) + img = Image.fromarray(image_np) + img_byte_arr = io.BytesIO() + img.save(img_byte_arr, format="PNG") + return base64.b64encode(img_byte_arr.getvalue()).decode() + + +class FluxProUltraImageNode(ComfyNodeABC): + """ + Generates images using Flux Pro 1.1 Ultra via api based on prompt and resolution. + """ + + MINIMUM_RATIO = 1 / 4 + MAXIMUM_RATIO = 4 / 1 + MINIMUM_RATIO_STR = "1:4" + MAXIMUM_RATIO_STR = "4:1" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + "aspect_ratio": ( + IO.STRING, + { + "default": "16:9", + "tooltip": "Aspect ratio of image; must be between 1:4 and 4:1.", + }, + ), + "raw": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "When True, generate less processed, more natural-looking images.", + }, + ), + }, + "optional": { + "image_prompt": (IO.IMAGE,), + "image_prompt_strength": ( + IO.FLOAT, + { + "default": 0.1, + "min": 0.0, + "max": 1.0, + "step": 0.01, + "tooltip": "Blend between the prompt and the image prompt.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + @classmethod + def VALIDATE_INPUTS(cls, aspect_ratio: str): + try: + validate_aspect_ratio( + aspect_ratio, + minimum_ratio=cls.MINIMUM_RATIO, + maximum_ratio=cls.MAXIMUM_RATIO, + minimum_ratio_str=cls.MINIMUM_RATIO_STR, + maximum_ratio_str=cls.MAXIMUM_RATIO_STR, + ) + except Exception as e: + return str(e) + return True + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + async def api_call( + self, + prompt: str, + aspect_ratio: str, + prompt_upsampling=False, + raw=False, + seed=0, + image_prompt=None, + image_prompt_strength=0.1, + unique_id: Union[str, None] = None, + **kwargs, + ): + if image_prompt is None: + validate_string(prompt, strip_whitespace=False) + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/bfl/flux-pro-1.1-ultra/generate", + method=HttpMethod.POST, + request_model=BFLFluxProUltraGenerateRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxProUltraGenerateRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + seed=seed, + aspect_ratio=validate_aspect_ratio( + aspect_ratio, + minimum_ratio=self.MINIMUM_RATIO, + maximum_ratio=self.MAXIMUM_RATIO, + minimum_ratio_str=self.MINIMUM_RATIO_STR, + maximum_ratio_str=self.MAXIMUM_RATIO_STR, + ), + raw=raw, + image_prompt=( + image_prompt + if image_prompt is None + else convert_image_to_base64(image_prompt) + ), + image_prompt_strength=( + None if image_prompt is None else round(image_prompt_strength, 2) + ), + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + +class FluxKontextProImageNode(ComfyNodeABC): + """ + Edits images using Flux.1 Kontext [pro] via api based on prompt and aspect ratio. + """ + + MINIMUM_RATIO = 1 / 4 + MAXIMUM_RATIO = 4 / 1 + MINIMUM_RATIO_STR = "1:4" + MAXIMUM_RATIO_STR = "4:1" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation - specify what and how to edit.", + }, + ), + "aspect_ratio": ( + IO.STRING, + { + "default": "16:9", + "tooltip": "Aspect ratio of image; must be between 1:4 and 4:1.", + }, + ), + "guidance": ( + IO.FLOAT, + { + "default": 3.0, + "min": 0.1, + "max": 99.0, + "step": 0.1, + "tooltip": "Guidance strength for the image generation process" + }, + ), + "steps": ( + IO.INT, + { + "default": 50, + "min": 1, + "max": 150, + "tooltip": "Number of steps for the image generation process" + }, + ), + "seed": ( + IO.INT, + { + "default": 1234, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + }, + "optional": { + "input_image": (IO.IMAGE,), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + BFL_PATH = "/proxy/bfl/flux-kontext-pro/generate" + + async def api_call( + self, + prompt: str, + aspect_ratio: str, + guidance: float, + steps: int, + input_image: Optional[torch.Tensor]=None, + seed=0, + prompt_upsampling=False, + unique_id: Union[str, None] = None, + **kwargs, + ): + aspect_ratio = validate_aspect_ratio( + aspect_ratio, + minimum_ratio=self.MINIMUM_RATIO, + maximum_ratio=self.MAXIMUM_RATIO, + minimum_ratio_str=self.MINIMUM_RATIO_STR, + maximum_ratio_str=self.MAXIMUM_RATIO_STR, + ) + if input_image is None: + validate_string(prompt, strip_whitespace=False) + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=self.BFL_PATH, + method=HttpMethod.POST, + request_model=BFLFluxKontextProGenerateRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxKontextProGenerateRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + guidance=round(guidance, 1), + steps=steps, + seed=seed, + aspect_ratio=aspect_ratio, + input_image=( + input_image + if input_image is None + else convert_image_to_base64(input_image) + ) + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + +class FluxKontextMaxImageNode(FluxKontextProImageNode): + """ + Edits images using Flux.1 Kontext [max] via api based on prompt and aspect ratio. + """ + + DESCRIPTION = cleandoc(__doc__ or "") + BFL_PATH = "/proxy/bfl/flux-kontext-max/generate" + + +class FluxProImageNode(ComfyNodeABC): + """ + Generates images synchronously based on prompt and resolution. + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + "width": ( + IO.INT, + { + "default": 1024, + "min": 256, + "max": 1440, + "step": 32, + }, + ), + "height": ( + IO.INT, + { + "default": 768, + "min": 256, + "max": 1440, + "step": 32, + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + }, + "optional": { + "image_prompt": (IO.IMAGE,), + # "image_prompt_strength": ( + # IO.FLOAT, + # { + # "default": 0.1, + # "min": 0.0, + # "max": 1.0, + # "step": 0.01, + # "tooltip": "Blend between the prompt and the image prompt.", + # }, + # ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + async def api_call( + self, + prompt: str, + prompt_upsampling, + width: int, + height: int, + seed=0, + image_prompt=None, + # image_prompt_strength=0.1, + unique_id: Union[str, None] = None, + **kwargs, + ): + image_prompt = ( + image_prompt + if image_prompt is None + else convert_image_to_base64(image_prompt) + ) + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/bfl/flux-pro-1.1/generate", + method=HttpMethod.POST, + request_model=BFLFluxProGenerateRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxProGenerateRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + width=width, + height=height, + seed=seed, + image_prompt=image_prompt, + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + +class FluxProExpandNode(ComfyNodeABC): + """ + Outpaints image based on prompt. + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + "top": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2048, + "tooltip": "Number of pixels to expand at the top of the image" + }, + ), + "bottom": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2048, + "tooltip": "Number of pixels to expand at the bottom of the image" + }, + ), + "left": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2048, + "tooltip": "Number of pixels to expand at the left side of the image" + }, + ), + "right": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2048, + "tooltip": "Number of pixels to expand at the right side of the image" + }, + ), + "guidance": ( + IO.FLOAT, + { + "default": 60, + "min": 1.5, + "max": 100, + "tooltip": "Guidance strength for the image generation process" + }, + ), + "steps": ( + IO.INT, + { + "default": 50, + "min": 15, + "max": 50, + "tooltip": "Number of steps for the image generation process" + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + }, + "optional": {}, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + async def api_call( + self, + image: torch.Tensor, + prompt: str, + prompt_upsampling: bool, + top: int, + bottom: int, + left: int, + right: int, + steps: int, + guidance: float, + seed=0, + unique_id: Union[str, None] = None, + **kwargs, + ): + image = convert_image_to_base64(image) + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/bfl/flux-pro-1.0-expand/generate", + method=HttpMethod.POST, + request_model=BFLFluxExpandImageRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxExpandImageRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + top=top, + bottom=bottom, + left=left, + right=right, + steps=steps, + guidance=guidance, + seed=seed, + image=image, + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + + +class FluxProFillNode(ComfyNodeABC): + """ + Inpaints image based on mask and prompt. + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE,), + "mask": (IO.MASK,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + "guidance": ( + IO.FLOAT, + { + "default": 60, + "min": 1.5, + "max": 100, + "tooltip": "Guidance strength for the image generation process" + }, + ), + "steps": ( + IO.INT, + { + "default": 50, + "min": 15, + "max": 50, + "tooltip": "Number of steps for the image generation process" + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + }, + "optional": {}, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + async def api_call( + self, + image: torch.Tensor, + mask: torch.Tensor, + prompt: str, + prompt_upsampling: bool, + steps: int, + guidance: float, + seed=0, + unique_id: Union[str, None] = None, + **kwargs, + ): + # prepare mask + mask = resize_mask_to_image(mask, image) + mask = convert_image_to_base64(convert_mask_to_image(mask)) + # make sure image will have alpha channel removed + image = convert_image_to_base64(image[:, :, :, :3]) + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/bfl/flux-pro-1.0-fill/generate", + method=HttpMethod.POST, + request_model=BFLFluxFillImageRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxFillImageRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + steps=steps, + guidance=guidance, + seed=seed, + image=image, + mask=mask, + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + +class FluxProCannyNode(ComfyNodeABC): + """ + Generate image using a control image (canny). + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "control_image": (IO.IMAGE,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + "canny_low_threshold": ( + IO.FLOAT, + { + "default": 0.1, + "min": 0.01, + "max": 0.99, + "step": 0.01, + "tooltip": "Low threshold for Canny edge detection; ignored if skip_processing is True" + }, + ), + "canny_high_threshold": ( + IO.FLOAT, + { + "default": 0.4, + "min": 0.01, + "max": 0.99, + "step": 0.01, + "tooltip": "High threshold for Canny edge detection; ignored if skip_processing is True" + }, + ), + "skip_preprocessing": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to skip preprocessing; set to True if control_image already is canny-fied, False if it is a raw image.", + }, + ), + "guidance": ( + IO.FLOAT, + { + "default": 30, + "min": 1, + "max": 100, + "tooltip": "Guidance strength for the image generation process" + }, + ), + "steps": ( + IO.INT, + { + "default": 50, + "min": 15, + "max": 50, + "tooltip": "Number of steps for the image generation process" + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + }, + "optional": {}, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + async def api_call( + self, + control_image: torch.Tensor, + prompt: str, + prompt_upsampling: bool, + canny_low_threshold: float, + canny_high_threshold: float, + skip_preprocessing: bool, + steps: int, + guidance: float, + seed=0, + unique_id: Union[str, None] = None, + **kwargs, + ): + control_image = convert_image_to_base64(control_image[:, :, :, :3]) + preprocessed_image = None + + # scale canny threshold between 0-500, to match BFL's API + def scale_value(value: float, min_val=0, max_val=500): + return min_val + value * (max_val - min_val) + canny_low_threshold = int(round(scale_value(canny_low_threshold))) + canny_high_threshold = int(round(scale_value(canny_high_threshold))) + + + if skip_preprocessing: + preprocessed_image = control_image + control_image = None + canny_low_threshold = None + canny_high_threshold = None + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/bfl/flux-pro-1.0-canny/generate", + method=HttpMethod.POST, + request_model=BFLFluxCannyImageRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxCannyImageRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + steps=steps, + guidance=guidance, + seed=seed, + control_image=control_image, + canny_low_threshold=canny_low_threshold, + canny_high_threshold=canny_high_threshold, + preprocessed_image=preprocessed_image, + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + +class FluxProDepthNode(ComfyNodeABC): + """ + Generate image using a control image (depth). + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "control_image": (IO.IMAGE,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "prompt_upsampling": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", + }, + ), + "skip_preprocessing": ( + IO.BOOLEAN, + { + "default": False, + "tooltip": "Whether to skip preprocessing; set to True if control_image already is depth-ified, False if it is a raw image.", + }, + ), + "guidance": ( + IO.FLOAT, + { + "default": 15, + "min": 1, + "max": 100, + "tooltip": "Guidance strength for the image generation process" + }, + ), + "steps": ( + IO.INT, + { + "default": 50, + "min": 15, + "max": 50, + "tooltip": "Number of steps for the image generation process" + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "The random seed used for creating the noise.", + }, + ), + }, + "optional": {}, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/BFL" + + async def api_call( + self, + control_image: torch.Tensor, + prompt: str, + prompt_upsampling: bool, + skip_preprocessing: bool, + steps: int, + guidance: float, + seed=0, + unique_id: Union[str, None] = None, + **kwargs, + ): + control_image = convert_image_to_base64(control_image[:,:,:,:3]) + preprocessed_image = None + + if skip_preprocessing: + preprocessed_image = control_image + control_image = None + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/bfl/flux-pro-1.0-depth/generate", + method=HttpMethod.POST, + request_model=BFLFluxDepthImageRequest, + response_model=BFLFluxProGenerateResponse, + ), + request=BFLFluxDepthImageRequest( + prompt=prompt, + prompt_upsampling=prompt_upsampling, + steps=steps, + guidance=guidance, + seed=seed, + control_image=control_image, + preprocessed_image=preprocessed_image, + ), + auth_kwargs=kwargs, + ) + output_image = await handle_bfl_synchronous_operation(operation, node_id=unique_id) + return (output_image,) + + +# A dictionary that contains all nodes you want to export with their names +# NOTE: names should be globally unique +NODE_CLASS_MAPPINGS = { + "FluxProUltraImageNode": FluxProUltraImageNode, + # "FluxProImageNode": FluxProImageNode, + "FluxKontextProImageNode": FluxKontextProImageNode, + "FluxKontextMaxImageNode": FluxKontextMaxImageNode, + "FluxProExpandNode": FluxProExpandNode, + "FluxProFillNode": FluxProFillNode, + "FluxProCannyNode": FluxProCannyNode, + "FluxProDepthNode": FluxProDepthNode, +} + +# A dictionary that contains the friendly/humanly readable titles for the nodes +NODE_DISPLAY_NAME_MAPPINGS = { + "FluxProUltraImageNode": "Flux 1.1 [pro] Ultra Image", + # "FluxProImageNode": "Flux 1.1 [pro] Image", + "FluxKontextProImageNode": "Flux.1 Kontext [pro] Image", + "FluxKontextMaxImageNode": "Flux.1 Kontext [max] Image", + "FluxProExpandNode": "Flux.1 Expand Image", + "FluxProFillNode": "Flux.1 Fill Image", + "FluxProCannyNode": "Flux.1 Canny Control Image", + "FluxProDepthNode": "Flux.1 Depth Control Image", +} diff --git a/comfy_api_nodes/nodes_bytedance.py b/comfy_api_nodes/nodes_bytedance.py new file mode 100644 index 0000000000000000000000000000000000000000..369a3a4fe22d4511f454714c3e7405947216aaa1 --- /dev/null +++ b/comfy_api_nodes/nodes_bytedance.py @@ -0,0 +1,1217 @@ +import logging +import math +from enum import Enum +from typing import Literal, Optional, Type, Union +from typing_extensions import override + +import torch +from pydantic import BaseModel, Field + +from comfy_api.latest import ComfyExtension, io as comfy_io +from comfy_api_nodes.util.validation_utils import ( + validate_image_aspect_ratio_range, + get_number_of_images, + validate_image_dimensions, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + EmptyRequest, + HttpMethod, + SynchronousOperation, + PollingOperation, + T, +) +from comfy_api_nodes.apinode_utils import ( + download_url_to_image_tensor, + download_url_to_video_output, + upload_images_to_comfyapi, + validate_string, + image_tensor_pair_to_batch, +) + + +BYTEPLUS_IMAGE_ENDPOINT = "/proxy/byteplus/api/v3/images/generations" + +# Long-running tasks endpoints(e.g., video) +BYTEPLUS_TASK_ENDPOINT = "/proxy/byteplus/api/v3/contents/generations/tasks" +BYTEPLUS_TASK_STATUS_ENDPOINT = "/proxy/byteplus/api/v3/contents/generations/tasks" # + /{task_id} + + +class Text2ImageModelName(str, Enum): + seedream_3 = "seedream-3-0-t2i-250415" + + +class Image2ImageModelName(str, Enum): + seededit_3 = "seededit-3-0-i2i-250628" + + +class Text2VideoModelName(str, Enum): + seedance_1_pro = "seedance-1-0-pro-250528" + seedance_1_lite = "seedance-1-0-lite-t2v-250428" + + +class Image2VideoModelName(str, Enum): + """note(August 31): Pro model only supports FirstFrame: https://docs.byteplus.com/en/docs/ModelArk/1520757""" + seedance_1_pro = "seedance-1-0-pro-250528" + seedance_1_lite = "seedance-1-0-lite-i2v-250428" + + +class Text2ImageTaskCreationRequest(BaseModel): + model: Text2ImageModelName = Text2ImageModelName.seedream_3 + prompt: str = Field(...) + response_format: Optional[str] = Field("url") + size: Optional[str] = Field(None) + seed: Optional[int] = Field(0, ge=0, le=2147483647) + guidance_scale: Optional[float] = Field(..., ge=1.0, le=10.0) + watermark: Optional[bool] = Field(True) + + +class Image2ImageTaskCreationRequest(BaseModel): + model: Image2ImageModelName = Image2ImageModelName.seededit_3 + prompt: str = Field(...) + response_format: Optional[str] = Field("url") + image: str = Field(..., description="Base64 encoded string or image URL") + size: Optional[str] = Field("adaptive") + seed: Optional[int] = Field(..., ge=0, le=2147483647) + guidance_scale: Optional[float] = Field(..., ge=1.0, le=10.0) + watermark: Optional[bool] = Field(True) + + +class Seedream4Options(BaseModel): + max_images: int = Field(15) + + +class Seedream4TaskCreationRequest(BaseModel): + model: str = Field("seedream-4-0-250828") + prompt: str = Field(...) + response_format: str = Field("url") + image: Optional[list[str]] = Field(None, description="Image URLs") + size: str = Field(...) + seed: int = Field(..., ge=0, le=2147483647) + sequential_image_generation: str = Field("disabled") + sequential_image_generation_options: Seedream4Options = Field(Seedream4Options(max_images=15)) + watermark: bool = Field(True) + + +class ImageTaskCreationResponse(BaseModel): + model: str = Field(...) + created: int = Field(..., description="Unix timestamp (in seconds) indicating time when the request was created.") + data: list = Field([], description="Contains information about the generated image(s).") + error: dict = Field({}, description="Contains `code` and `message` fields in case of error.") + + +class TaskTextContent(BaseModel): + type: str = Field("text") + text: str = Field(...) + + +class TaskImageContentUrl(BaseModel): + url: str = Field(...) + + +class TaskImageContent(BaseModel): + type: str = Field("image_url") + image_url: TaskImageContentUrl = Field(...) + role: Optional[Literal["first_frame", "last_frame", "reference_image"]] = Field(None) + + +class Text2VideoTaskCreationRequest(BaseModel): + model: Text2VideoModelName = Text2VideoModelName.seedance_1_pro + content: list[TaskTextContent] = Field(..., min_length=1) + + +class Image2VideoTaskCreationRequest(BaseModel): + model: Image2VideoModelName = Image2VideoModelName.seedance_1_pro + content: list[Union[TaskTextContent, TaskImageContent]] = Field(..., min_length=2) + + +class TaskCreationResponse(BaseModel): + id: str = Field(...) + + +class TaskStatusError(BaseModel): + code: str = Field(...) + message: str = Field(...) + + +class TaskStatusResult(BaseModel): + video_url: str = Field(...) + + +class TaskStatusResponse(BaseModel): + id: str = Field(...) + model: str = Field(...) + status: Literal["queued", "running", "cancelled", "succeeded", "failed"] = Field(...) + error: Optional[TaskStatusError] = Field(None) + content: Optional[TaskStatusResult] = Field(None) + + +RECOMMENDED_PRESETS = [ + ("1024x1024 (1:1)", 1024, 1024), + ("864x1152 (3:4)", 864, 1152), + ("1152x864 (4:3)", 1152, 864), + ("1280x720 (16:9)", 1280, 720), + ("720x1280 (9:16)", 720, 1280), + ("832x1248 (2:3)", 832, 1248), + ("1248x832 (3:2)", 1248, 832), + ("1512x648 (21:9)", 1512, 648), + ("2048x2048 (1:1)", 2048, 2048), + ("Custom", None, None), +] + +RECOMMENDED_PRESETS_SEEDREAM_4 = [ + ("2048x2048 (1:1)", 2048, 2048), + ("2304x1728 (4:3)", 2304, 1728), + ("1728x2304 (3:4)", 1728, 2304), + ("2560x1440 (16:9)", 2560, 1440), + ("1440x2560 (9:16)", 1440, 2560), + ("2496x1664 (3:2)", 2496, 1664), + ("1664x2496 (2:3)", 1664, 2496), + ("3024x1296 (21:9)", 3024, 1296), + ("4096x4096 (1:1)", 4096, 4096), + ("Custom", None, None), +] + +# The time in this dictionary are given for 10 seconds duration. +VIDEO_TASKS_EXECUTION_TIME = { + "seedance-1-0-lite-t2v-250428": { + "480p": 40, + "720p": 60, + "1080p": 90, + }, + "seedance-1-0-lite-i2v-250428": { + "480p": 40, + "720p": 60, + "1080p": 90, + }, + "seedance-1-0-pro-250528": { + "480p": 70, + "720p": 85, + "1080p": 115, + }, +} + + +def get_image_url_from_response(response: ImageTaskCreationResponse) -> str: + if response.error: + error_msg = f"ByteDance request failed. Code: {response.error['code']}, message: {response.error['message']}" + logging.info(error_msg) + raise RuntimeError(error_msg) + logging.info("ByteDance task succeeded, image URL: %s", response.data[0]["url"]) + return response.data[0]["url"] + + +def get_video_url_from_task_status(response: TaskStatusResponse) -> Union[str, None]: + """Returns the video URL from the task status response if it exists.""" + if hasattr(response, "content") and response.content: + return response.content.video_url + return None + + +async def poll_until_finished( + auth_kwargs: dict[str, str], + task_id: str, + estimated_duration: Optional[int] = None, + node_id: Optional[str] = None, +) -> TaskStatusResponse: + """Polls the ByteDance API endpoint until the task reaches a terminal state, then returns the response.""" + return await PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"{BYTEPLUS_TASK_STATUS_ENDPOINT}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=TaskStatusResponse, + ), + completed_statuses=[ + "succeeded", + ], + failed_statuses=[ + "cancelled", + "failed", + ], + status_extractor=lambda response: response.status, + auth_kwargs=auth_kwargs, + result_url_extractor=get_video_url_from_task_status, + estimated_duration=estimated_duration, + node_id=node_id, + ).execute() + + +class ByteDanceImageNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceImageNode", + display_name="ByteDance Image", + category="api node/image/ByteDance", + description="Generate images using ByteDance models via api based on prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in Text2ImageModelName], + default=Text2ImageModelName.seedream_3.value, + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="The text prompt used to generate the image", + ), + comfy_io.Combo.Input( + "size_preset", + options=[label for label, _, _ in RECOMMENDED_PRESETS], + tooltip="Pick a recommended size. Select Custom to use the width and height below", + ), + comfy_io.Int.Input( + "width", + default=1024, + min=512, + max=2048, + step=64, + tooltip="Custom width for image. Value is working only if `size_preset` is set to `Custom`", + ), + comfy_io.Int.Input( + "height", + default=1024, + min=512, + max=2048, + step=64, + tooltip="Custom height for image. Value is working only if `size_preset` is set to `Custom`", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation", + optional=True, + ), + comfy_io.Float.Input( + "guidance_scale", + default=2.5, + min=1.0, + max=10.0, + step=0.01, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Higher value makes the image follow the prompt more closely", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the image", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + size_preset: str, + width: int, + height: int, + seed: int, + guidance_scale: float, + watermark: bool, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + w = h = None + for label, tw, th in RECOMMENDED_PRESETS: + if label == size_preset: + w, h = tw, th + break + + if w is None or h is None: + w, h = width, height + if not (512 <= w <= 2048) or not (512 <= h <= 2048): + raise ValueError( + f"Custom size out of range: {w}x{h}. " + "Both width and height must be between 512 and 2048 pixels." + ) + + payload = Text2ImageTaskCreationRequest( + model=model, + prompt=prompt, + size=f"{w}x{h}", + seed=seed, + guidance_scale=guidance_scale, + watermark=watermark, + ) + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path=BYTEPLUS_IMAGE_ENDPOINT, + method=HttpMethod.POST, + request_model=Text2ImageTaskCreationRequest, + response_model=ImageTaskCreationResponse, + ), + request=payload, + auth_kwargs=auth_kwargs, + ).execute() + return comfy_io.NodeOutput(await download_url_to_image_tensor(get_image_url_from_response(response))) + + +class ByteDanceImageEditNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceImageEditNode", + display_name="ByteDance Image Edit", + category="api node/image/ByteDance", + description="Edit images using ByteDance models via api based on prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in Image2ImageModelName], + default=Image2ImageModelName.seededit_3.value, + tooltip="Model name", + ), + comfy_io.Image.Input( + "image", + tooltip="The base image to edit", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Instruction to edit image", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation", + optional=True, + ), + comfy_io.Float.Input( + "guidance_scale", + default=5.5, + min=1.0, + max=10.0, + step=0.01, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Higher value makes the image follow the prompt more closely", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the image", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + image: torch.Tensor, + prompt: str, + seed: int, + guidance_scale: float, + watermark: bool, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + if get_number_of_images(image) != 1: + raise ValueError("Exactly one input image is required.") + validate_image_aspect_ratio_range(image, (1, 3), (3, 1)) + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + source_url = (await upload_images_to_comfyapi( + image, + max_images=1, + mime_type="image/png", + auth_kwargs=auth_kwargs, + ))[0] + payload = Image2ImageTaskCreationRequest( + model=model, + prompt=prompt, + image=source_url, + seed=seed, + guidance_scale=guidance_scale, + watermark=watermark, + ) + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path=BYTEPLUS_IMAGE_ENDPOINT, + method=HttpMethod.POST, + request_model=Image2ImageTaskCreationRequest, + response_model=ImageTaskCreationResponse, + ), + request=payload, + auth_kwargs=auth_kwargs, + ).execute() + return comfy_io.NodeOutput(await download_url_to_image_tensor(get_image_url_from_response(response))) + + +class ByteDanceSeedreamNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceSeedreamNode", + display_name="ByteDance Seedream 4", + category="api node/image/ByteDance", + description="Unified text-to-image generation and precise single-sentence editing at up to 4K resolution.", + inputs=[ + comfy_io.Combo.Input( + "model", + options=["seedream-4-0-250828"], + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text prompt for creating or editing an image.", + ), + comfy_io.Image.Input( + "image", + tooltip="Input image(s) for image-to-image generation. " + "List of 1-10 images for single or multi-reference generation.", + optional=True, + ), + comfy_io.Combo.Input( + "size_preset", + options=[label for label, _, _ in RECOMMENDED_PRESETS_SEEDREAM_4], + tooltip="Pick a recommended size. Select Custom to use the width and height below.", + ), + comfy_io.Int.Input( + "width", + default=2048, + min=1024, + max=4096, + step=64, + tooltip="Custom width for image. Value is working only if `size_preset` is set to `Custom`", + optional=True, + ), + comfy_io.Int.Input( + "height", + default=2048, + min=1024, + max=4096, + step=64, + tooltip="Custom height for image. Value is working only if `size_preset` is set to `Custom`", + optional=True, + ), + comfy_io.Combo.Input( + "sequential_image_generation", + options=["disabled", "auto"], + tooltip="Group image generation mode. " + "'disabled' generates a single image. " + "'auto' lets the model decide whether to generate multiple related images " + "(e.g., story scenes, character variations).", + optional=True, + ), + comfy_io.Int.Input( + "max_images", + default=1, + min=1, + max=15, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Maximum number of images to generate when sequential_image_generation='auto'. " + "Total images (input + generated) cannot exceed 15.", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation.", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the image.", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + image: torch.Tensor = None, + size_preset: str = RECOMMENDED_PRESETS_SEEDREAM_4[0][0], + width: int = 2048, + height: int = 2048, + sequential_image_generation: str = "disabled", + max_images: int = 1, + seed: int = 0, + watermark: bool = True, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + w = h = None + for label, tw, th in RECOMMENDED_PRESETS_SEEDREAM_4: + if label == size_preset: + w, h = tw, th + break + + if w is None or h is None: + w, h = width, height + if not (1024 <= w <= 4096) or not (1024 <= h <= 4096): + raise ValueError( + f"Custom size out of range: {w}x{h}. " + "Both width and height must be between 1024 and 4096 pixels." + ) + n_input_images = get_number_of_images(image) if image is not None else 0 + if n_input_images > 10: + raise ValueError(f"Maximum of 10 reference images are supported, but {n_input_images} received.") + if sequential_image_generation == "auto" and n_input_images + max_images > 15: + raise ValueError( + "The maximum number of generated images plus the number of reference images cannot exceed 15." + ) + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + reference_images_urls = [] + if n_input_images: + for i in image: + validate_image_aspect_ratio_range(i, (1, 3), (3, 1)) + reference_images_urls = (await upload_images_to_comfyapi( + image, + max_images=n_input_images, + mime_type="image/png", + auth_kwargs=auth_kwargs, + )) + payload = Seedream4TaskCreationRequest( + model=model, + prompt=prompt, + image=reference_images_urls, + size=f"{w}x{h}", + seed=seed, + sequential_image_generation=sequential_image_generation, + sequential_image_generation_options=Seedream4Options(max_images=max_images), + watermark=watermark, + ) + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path=BYTEPLUS_IMAGE_ENDPOINT, + method=HttpMethod.POST, + request_model=Seedream4TaskCreationRequest, + response_model=ImageTaskCreationResponse, + ), + request=payload, + auth_kwargs=auth_kwargs, + ).execute() + + if len(response.data) == 1: + return comfy_io.NodeOutput(await download_url_to_image_tensor(get_image_url_from_response(response))) + return comfy_io.NodeOutput( + torch.cat([await download_url_to_image_tensor(str(i["url"])) for i in response.data]) + ) + + +class ByteDanceTextToVideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceTextToVideoNode", + display_name="ByteDance Text to Video", + category="api node/video/ByteDance", + description="Generate video using ByteDance models via api based on prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in Text2VideoModelName], + default=Text2VideoModelName.seedance_1_pro.value, + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="The text prompt used to generate the video.", + ), + comfy_io.Combo.Input( + "resolution", + options=["480p", "720p", "1080p"], + tooltip="The resolution of the output video.", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"], + tooltip="The aspect ratio of the output video.", + ), + comfy_io.Int.Input( + "duration", + default=5, + min=3, + max=12, + step=1, + tooltip="The duration of the output video in seconds.", + display_mode=comfy_io.NumberDisplay.slider, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation.", + optional=True, + ), + comfy_io.Boolean.Input( + "camera_fixed", + default=False, + tooltip="Specifies whether to fix the camera. The platform appends an instruction " + "to fix the camera to your prompt, but does not guarantee the actual effect.", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the video.", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + resolution: str, + aspect_ratio: str, + duration: int, + seed: int, + camera_fixed: bool, + watermark: bool, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + raise_if_text_params(prompt, ["resolution", "ratio", "duration", "seed", "camerafixed", "watermark"]) + + prompt = ( + f"{prompt} " + f"--resolution {resolution} " + f"--ratio {aspect_ratio} " + f"--duration {duration} " + f"--seed {seed} " + f"--camerafixed {str(camera_fixed).lower()} " + f"--watermark {str(watermark).lower()}" + ) + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + return await process_video_task( + request_model=Text2VideoTaskCreationRequest, + payload=Text2VideoTaskCreationRequest( + model=model, + content=[TaskTextContent(text=prompt)], + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=max(1, math.ceil(VIDEO_TASKS_EXECUTION_TIME[model][resolution] * (duration / 10.0))), + ) + + +class ByteDanceImageToVideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceImageToVideoNode", + display_name="ByteDance Image to Video", + category="api node/video/ByteDance", + description="Generate video using ByteDance models via api based on image and prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in Image2VideoModelName], + default=Image2VideoModelName.seedance_1_pro.value, + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="The text prompt used to generate the video.", + ), + comfy_io.Image.Input( + "image", + tooltip="First frame to be used for the video.", + ), + comfy_io.Combo.Input( + "resolution", + options=["480p", "720p", "1080p"], + tooltip="The resolution of the output video.", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"], + tooltip="The aspect ratio of the output video.", + ), + comfy_io.Int.Input( + "duration", + default=5, + min=3, + max=12, + step=1, + tooltip="The duration of the output video in seconds.", + display_mode=comfy_io.NumberDisplay.slider, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation.", + optional=True, + ), + comfy_io.Boolean.Input( + "camera_fixed", + default=False, + tooltip="Specifies whether to fix the camera. The platform appends an instruction " + "to fix the camera to your prompt, but does not guarantee the actual effect.", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the video.", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + image: torch.Tensor, + resolution: str, + aspect_ratio: str, + duration: int, + seed: int, + camera_fixed: bool, + watermark: bool, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + raise_if_text_params(prompt, ["resolution", "ratio", "duration", "seed", "camerafixed", "watermark"]) + validate_image_dimensions(image, min_width=300, min_height=300, max_width=6000, max_height=6000) + validate_image_aspect_ratio_range(image, (2, 5), (5, 2), strict=False) # 0.4 to 2.5 + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + image_url = (await upload_images_to_comfyapi(image, max_images=1, auth_kwargs=auth_kwargs))[0] + + prompt = ( + f"{prompt} " + f"--resolution {resolution} " + f"--ratio {aspect_ratio} " + f"--duration {duration} " + f"--seed {seed} " + f"--camerafixed {str(camera_fixed).lower()} " + f"--watermark {str(watermark).lower()}" + ) + + return await process_video_task( + request_model=Image2VideoTaskCreationRequest, + payload=Image2VideoTaskCreationRequest( + model=model, + content=[TaskTextContent(text=prompt), TaskImageContent(image_url=TaskImageContentUrl(url=image_url))], + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=max(1, math.ceil(VIDEO_TASKS_EXECUTION_TIME[model][resolution] * (duration / 10.0))), + ) + + +class ByteDanceFirstLastFrameNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceFirstLastFrameNode", + display_name="ByteDance First-Last-Frame to Video", + category="api node/video/ByteDance", + description="Generate video using prompt and first and last frames.", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[Image2VideoModelName.seedance_1_lite.value], + default=Image2VideoModelName.seedance_1_lite.value, + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="The text prompt used to generate the video.", + ), + comfy_io.Image.Input( + "first_frame", + tooltip="First frame to be used for the video.", + ), + comfy_io.Image.Input( + "last_frame", + tooltip="Last frame to be used for the video.", + ), + comfy_io.Combo.Input( + "resolution", + options=["480p", "720p", "1080p"], + tooltip="The resolution of the output video.", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"], + tooltip="The aspect ratio of the output video.", + ), + comfy_io.Int.Input( + "duration", + default=5, + min=3, + max=12, + step=1, + tooltip="The duration of the output video in seconds.", + display_mode=comfy_io.NumberDisplay.slider, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation.", + optional=True, + ), + comfy_io.Boolean.Input( + "camera_fixed", + default=False, + tooltip="Specifies whether to fix the camera. The platform appends an instruction " + "to fix the camera to your prompt, but does not guarantee the actual effect.", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the video.", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + first_frame: torch.Tensor, + last_frame: torch.Tensor, + resolution: str, + aspect_ratio: str, + duration: int, + seed: int, + camera_fixed: bool, + watermark: bool, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + raise_if_text_params(prompt, ["resolution", "ratio", "duration", "seed", "camerafixed", "watermark"]) + for i in (first_frame, last_frame): + validate_image_dimensions(i, min_width=300, min_height=300, max_width=6000, max_height=6000) + validate_image_aspect_ratio_range(i, (2, 5), (5, 2), strict=False) # 0.4 to 2.5 + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + download_urls = await upload_images_to_comfyapi( + image_tensor_pair_to_batch(first_frame, last_frame), + max_images=2, + mime_type="image/png", + auth_kwargs=auth_kwargs, + ) + + prompt = ( + f"{prompt} " + f"--resolution {resolution} " + f"--ratio {aspect_ratio} " + f"--duration {duration} " + f"--seed {seed} " + f"--camerafixed {str(camera_fixed).lower()} " + f"--watermark {str(watermark).lower()}" + ) + + return await process_video_task( + request_model=Image2VideoTaskCreationRequest, + payload=Image2VideoTaskCreationRequest( + model=model, + content=[ + TaskTextContent(text=prompt), + TaskImageContent(image_url=TaskImageContentUrl(url=str(download_urls[0])), role="first_frame"), + TaskImageContent(image_url=TaskImageContentUrl(url=str(download_urls[1])), role="last_frame"), + ], + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=max(1, math.ceil(VIDEO_TASKS_EXECUTION_TIME[model][resolution] * (duration / 10.0))), + ) + + +class ByteDanceImageReferenceNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ByteDanceImageReferenceNode", + display_name="ByteDance Reference Images to Video", + category="api node/video/ByteDance", + description="Generate video using prompt and reference images.", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[Image2VideoModelName.seedance_1_lite.value], + default=Image2VideoModelName.seedance_1_lite.value, + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="The text prompt used to generate the video.", + ), + comfy_io.Image.Input( + "images", + tooltip="One to four images.", + ), + comfy_io.Combo.Input( + "resolution", + options=["480p", "720p"], + tooltip="The resolution of the output video.", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"], + tooltip="The aspect ratio of the output video.", + ), + comfy_io.Int.Input( + "duration", + default=5, + min=3, + max=12, + step=1, + tooltip="The duration of the output video in seconds.", + display_mode=comfy_io.NumberDisplay.slider, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed to use for generation.", + optional=True, + ), + comfy_io.Boolean.Input( + "watermark", + default=True, + tooltip="Whether to add an \"AI generated\" watermark to the video.", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + images: torch.Tensor, + resolution: str, + aspect_ratio: str, + duration: int, + seed: int, + watermark: bool, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=True, min_length=1) + raise_if_text_params(prompt, ["resolution", "ratio", "duration", "seed", "watermark"]) + for image in images: + validate_image_dimensions(image, min_width=300, min_height=300, max_width=6000, max_height=6000) + validate_image_aspect_ratio_range(image, (2, 5), (5, 2), strict=False) # 0.4 to 2.5 + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + image_urls = await upload_images_to_comfyapi( + images, max_images=4, mime_type="image/png", auth_kwargs=auth_kwargs + ) + + prompt = ( + f"{prompt} " + f"--resolution {resolution} " + f"--ratio {aspect_ratio} " + f"--duration {duration} " + f"--seed {seed} " + f"--watermark {str(watermark).lower()}" + ) + x = [ + TaskTextContent(text=prompt), + *[TaskImageContent(image_url=TaskImageContentUrl(url=str(i)), role="reference_image") for i in image_urls] + ] + return await process_video_task( + request_model=Image2VideoTaskCreationRequest, + payload=Image2VideoTaskCreationRequest( + model=model, + content=x, + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=max(1, math.ceil(VIDEO_TASKS_EXECUTION_TIME[model][resolution] * (duration / 10.0))), + ) + + +async def process_video_task( + request_model: Type[T], + payload: Union[Text2VideoTaskCreationRequest, Image2VideoTaskCreationRequest], + auth_kwargs: dict, + node_id: str, + estimated_duration: int | None, +) -> comfy_io.NodeOutput: + initial_response = await SynchronousOperation( + endpoint=ApiEndpoint( + path=BYTEPLUS_TASK_ENDPOINT, + method=HttpMethod.POST, + request_model=request_model, + response_model=TaskCreationResponse, + ), + request=payload, + auth_kwargs=auth_kwargs, + ).execute() + response = await poll_until_finished( + auth_kwargs, + initial_response.id, + estimated_duration=estimated_duration, + node_id=node_id, + ) + return comfy_io.NodeOutput(await download_url_to_video_output(get_video_url_from_task_status(response))) + + +def raise_if_text_params(prompt: str, text_params: list[str]) -> None: + for i in text_params: + if f"--{i} " in prompt: + raise ValueError( + f"--{i} is not allowed in the prompt, use the appropriated widget input to change this value." + ) + + +class ByteDanceExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + ByteDanceImageNode, + ByteDanceImageEditNode, + ByteDanceSeedreamNode, + ByteDanceTextToVideoNode, + ByteDanceImageToVideoNode, + ByteDanceFirstLastFrameNode, + ByteDanceImageReferenceNode, + ] + +async def comfy_entrypoint() -> ByteDanceExtension: + return ByteDanceExtension() diff --git a/comfy_api_nodes/nodes_gemini.py b/comfy_api_nodes/nodes_gemini.py new file mode 100644 index 0000000000000000000000000000000000000000..baa379b75448e66e9297de15d4e8315ae470a0ed --- /dev/null +++ b/comfy_api_nodes/nodes_gemini.py @@ -0,0 +1,673 @@ +""" +API Nodes for Gemini Multimodal LLM Usage via Remote API +See: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference +""" +from __future__ import annotations + +import json +import time +import os +import uuid +import base64 +from io import BytesIO +from enum import Enum +from typing import Optional, Literal + +import torch + +import folder_paths +from comfy.comfy_types.node_typing import IO, ComfyNodeABC, InputTypeDict +from server import PromptServer +from comfy_api_nodes.apis import ( + GeminiContent, + GeminiGenerateContentRequest, + GeminiGenerateContentResponse, + GeminiInlineData, + GeminiPart, + GeminiMimeType, +) +from comfy_api_nodes.apis.gemini_api import GeminiImageGenerationConfig, GeminiImageGenerateContentRequest +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, +) +from comfy_api_nodes.apinode_utils import ( + validate_string, + audio_to_base64_string, + video_to_base64_string, + tensor_to_base64_string, + bytesio_to_image_tensor, +) + + +GEMINI_BASE_ENDPOINT = "/proxy/vertexai/gemini" +GEMINI_MAX_INPUT_FILE_SIZE = 20 * 1024 * 1024 # 20 MB + + +class GeminiModel(str, Enum): + """ + Gemini Model Names allowed by comfy-api + """ + + gemini_2_5_pro_preview_05_06 = "gemini-2.5-pro-preview-05-06" + gemini_2_5_flash_preview_04_17 = "gemini-2.5-flash-preview-04-17" + gemini_2_5_pro = "gemini-2.5-pro" + gemini_2_5_flash = "gemini-2.5-flash" + + +class GeminiImageModel(str, Enum): + """ + Gemini Image Model Names allowed by comfy-api + """ + + gemini_2_5_flash_image_preview = "gemini-2.5-flash-image-preview" + + +def get_gemini_endpoint( + model: GeminiModel, +) -> ApiEndpoint[GeminiGenerateContentRequest, GeminiGenerateContentResponse]: + """ + Get the API endpoint for a given Gemini model. + + Args: + model: The Gemini model to use, either as enum or string value. + + Returns: + ApiEndpoint configured for the specific Gemini model. + """ + if isinstance(model, str): + model = GeminiModel(model) + return ApiEndpoint( + path=f"{GEMINI_BASE_ENDPOINT}/{model.value}", + method=HttpMethod.POST, + request_model=GeminiGenerateContentRequest, + response_model=GeminiGenerateContentResponse, + ) + + +def get_gemini_image_endpoint( + model: GeminiImageModel, +) -> ApiEndpoint[GeminiGenerateContentRequest, GeminiGenerateContentResponse]: + """ + Get the API endpoint for a given Gemini model. + + Args: + model: The Gemini model to use, either as enum or string value. + + Returns: + ApiEndpoint configured for the specific Gemini model. + """ + if isinstance(model, str): + model = GeminiImageModel(model) + return ApiEndpoint( + path=f"{GEMINI_BASE_ENDPOINT}/{model.value}", + method=HttpMethod.POST, + request_model=GeminiImageGenerateContentRequest, + response_model=GeminiGenerateContentResponse, + ) + + +def create_image_parts(image_input: torch.Tensor) -> list[GeminiPart]: + """ + Convert image tensor input to Gemini API compatible parts. + + Args: + image_input: Batch of image tensors from ComfyUI. + + Returns: + List of GeminiPart objects containing the encoded images. + """ + image_parts: list[GeminiPart] = [] + for image_index in range(image_input.shape[0]): + image_as_b64 = tensor_to_base64_string( + image_input[image_index].unsqueeze(0) + ) + image_parts.append( + GeminiPart( + inlineData=GeminiInlineData( + mimeType=GeminiMimeType.image_png, + data=image_as_b64, + ) + ) + ) + return image_parts + + +def create_text_part(text: str) -> GeminiPart: + """ + Create a text part for the Gemini API request. + + Args: + text: The text content to include in the request. + + Returns: + A GeminiPart object with the text content. + """ + return GeminiPart(text=text) + + +def get_parts_from_response( + response: GeminiGenerateContentResponse +) -> list[GeminiPart]: + """ + Extract all parts from the Gemini API response. + + Args: + response: The API response from Gemini. + + Returns: + List of response parts from the first candidate. + """ + return response.candidates[0].content.parts + + +def get_parts_by_type( + response: GeminiGenerateContentResponse, part_type: Literal["text"] | str +) -> list[GeminiPart]: + """ + Filter response parts by their type. + + Args: + response: The API response from Gemini. + part_type: Type of parts to extract ("text" or a MIME type). + + Returns: + List of response parts matching the requested type. + """ + parts = [] + for part in get_parts_from_response(response): + if part_type == "text" and hasattr(part, "text") and part.text: + parts.append(part) + elif ( + hasattr(part, "inlineData") + and part.inlineData + and part.inlineData.mimeType == part_type + ): + parts.append(part) + # Skip parts that don't match the requested type + return parts + + +def get_text_from_response(response: GeminiGenerateContentResponse) -> str: + """ + Extract and concatenate all text parts from the response. + + Args: + response: The API response from Gemini. + + Returns: + Combined text from all text parts in the response. + """ + parts = get_parts_by_type(response, "text") + return "\n".join([part.text for part in parts]) + + +def get_image_from_response(response: GeminiGenerateContentResponse) -> torch.Tensor: + image_tensors: list[torch.Tensor] = [] + parts = get_parts_by_type(response, "image/png") + for part in parts: + image_data = base64.b64decode(part.inlineData.data) + returned_image = bytesio_to_image_tensor(BytesIO(image_data)) + image_tensors.append(returned_image) + if len(image_tensors) == 0: + return torch.zeros((1,1024,1024,4)) + return torch.cat(image_tensors, dim=0) + + +class GeminiNode(ComfyNodeABC): + """ + Node to generate text responses from a Gemini model. + + This node allows users to interact with Google's Gemini AI models, providing + multimodal inputs (text, images, audio, video, files) to generate coherent + text responses. The node works with the latest Gemini models, handling the + API communication and response parsing. + """ + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model.", + }, + ), + "model": ( + IO.COMBO, + { + "tooltip": "The Gemini model to use for generating responses.", + "options": [model.value for model in GeminiModel], + "default": GeminiModel.gemini_2_5_pro.value, + }, + ), + "seed": ( + IO.INT, + { + "default": 42, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used.", + }, + ), + }, + "optional": { + "images": ( + IO.IMAGE, + { + "default": None, + "tooltip": "Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node.", + }, + ), + "audio": ( + IO.AUDIO, + { + "tooltip": "Optional audio to use as context for the model.", + "default": None, + }, + ), + "video": ( + IO.VIDEO, + { + "tooltip": "Optional video to use as context for the model.", + "default": None, + }, + ), + "files": ( + "GEMINI_INPUT_FILES", + { + "default": None, + "tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Generate text responses with Google's Gemini AI model. You can provide multiple types of inputs (text, images, audio, video) as context for generating more relevant and meaningful responses." + RETURN_TYPES = ("STRING",) + FUNCTION = "api_call" + CATEGORY = "api node/text/Gemini" + API_NODE = True + + def create_video_parts(self, video_input: IO.VIDEO, **kwargs) -> list[GeminiPart]: + """ + Convert video input to Gemini API compatible parts. + + Args: + video_input: Video tensor from ComfyUI. + **kwargs: Additional arguments to pass to the conversion function. + + Returns: + List of GeminiPart objects containing the encoded video. + """ + from comfy_api.util import VideoContainer, VideoCodec + base_64_string = video_to_base64_string( + video_input, + container_format=VideoContainer.MP4, + codec=VideoCodec.H264 + ) + return [ + GeminiPart( + inlineData=GeminiInlineData( + mimeType=GeminiMimeType.video_mp4, + data=base_64_string, + ) + ) + ] + + def create_audio_parts(self, audio_input: IO.AUDIO) -> list[GeminiPart]: + """ + Convert audio input to Gemini API compatible parts. + + Args: + audio_input: Audio input from ComfyUI, containing waveform tensor and sample rate. + + Returns: + List of GeminiPart objects containing the encoded audio. + """ + audio_parts: list[GeminiPart] = [] + for batch_index in range(audio_input["waveform"].shape[0]): + # Recreate an IO.AUDIO object for the given batch dimension index + audio_at_index = { + "waveform": audio_input["waveform"][batch_index].unsqueeze(0), + "sample_rate": audio_input["sample_rate"], + } + # Convert to MP3 format for compatibility with Gemini API + audio_bytes = audio_to_base64_string( + audio_at_index, + container_format="mp3", + codec_name="libmp3lame", + ) + audio_parts.append( + GeminiPart( + inlineData=GeminiInlineData( + mimeType=GeminiMimeType.audio_mp3, + data=audio_bytes, + ) + ) + ) + return audio_parts + + async def api_call( + self, + prompt: str, + model: GeminiModel, + images: Optional[IO.IMAGE] = None, + audio: Optional[IO.AUDIO] = None, + video: Optional[IO.VIDEO] = None, + files: Optional[list[GeminiPart]] = None, + unique_id: Optional[str] = None, + **kwargs, + ) -> tuple[str]: + # Validate inputs + validate_string(prompt, strip_whitespace=False) + + # Create parts list with text prompt as the first part + parts: list[GeminiPart] = [create_text_part(prompt)] + + # Add other modal parts + if images is not None: + image_parts = create_image_parts(images) + parts.extend(image_parts) + if audio is not None: + parts.extend(self.create_audio_parts(audio)) + if video is not None: + parts.extend(self.create_video_parts(video)) + if files is not None: + parts.extend(files) + + # Create response + response = await SynchronousOperation( + endpoint=get_gemini_endpoint(model), + request=GeminiGenerateContentRequest( + contents=[ + GeminiContent( + role="user", + parts=parts, + ) + ] + ), + auth_kwargs=kwargs, + ).execute() + + # Get result output + output_text = get_text_from_response(response) + if unique_id and output_text: + # Not a true chat history like the OpenAI Chat node. It is emulated so the frontend can show a copy button. + render_spec = { + "node_id": unique_id, + "component": "ChatHistoryWidget", + "props": { + "history": json.dumps( + [ + { + "prompt": prompt, + "response": output_text, + "response_id": str(uuid.uuid4()), + "timestamp": time.time(), + } + ] + ), + }, + } + PromptServer.instance.send_sync( + "display_component", + render_spec, + ) + + return (output_text or "Empty response from Gemini model...",) + + +class GeminiInputFiles(ComfyNodeABC): + """ + Loads and formats input files for use with the Gemini API. + + This node allows users to include text (.txt) and PDF (.pdf) files as input + context for the Gemini model. Files are converted to the appropriate format + required by the API and can be chained together to include multiple files + in a single request. + """ + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + """ + For details about the supported file input types, see: + https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference + """ + input_dir = folder_paths.get_input_directory() + input_files = [ + f + for f in os.scandir(input_dir) + if f.is_file() + and (f.name.endswith(".txt") or f.name.endswith(".pdf")) + and f.stat().st_size < GEMINI_MAX_INPUT_FILE_SIZE + ] + input_files = sorted(input_files, key=lambda x: x.name) + input_files = [f.name for f in input_files] + return { + "required": { + "file": ( + IO.COMBO, + { + "tooltip": "Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now.", + "options": input_files, + "default": input_files[0] if input_files else None, + }, + ), + }, + "optional": { + "GEMINI_INPUT_FILES": ( + "GEMINI_INPUT_FILES", + { + "tooltip": "An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files.", + "default": None, + }, + ), + }, + } + + DESCRIPTION = "Loads and prepares input files to include as inputs for Gemini LLM nodes. The files will be read by the Gemini model when generating a response. The contents of the text file count toward the token limit. 🛈 TIP: Can be chained together with other Gemini Input File nodes." + RETURN_TYPES = ("GEMINI_INPUT_FILES",) + FUNCTION = "prepare_files" + CATEGORY = "api node/text/Gemini" + + def create_file_part(self, file_path: str) -> GeminiPart: + mime_type = ( + GeminiMimeType.application_pdf + if file_path.endswith(".pdf") + else GeminiMimeType.text_plain + ) + # Use base64 string directly, not the data URI + with open(file_path, "rb") as f: + file_content = f.read() + import base64 + base64_str = base64.b64encode(file_content).decode("utf-8") + + return GeminiPart( + inlineData=GeminiInlineData( + mimeType=mime_type, + data=base64_str, + ) + ) + + def prepare_files( + self, file: str, GEMINI_INPUT_FILES: list[GeminiPart] = [] + ) -> tuple[list[GeminiPart]]: + """ + Loads and formats input files for Gemini API. + """ + file_path = folder_paths.get_annotated_filepath(file) + input_file_content = self.create_file_part(file_path) + files = [input_file_content] + GEMINI_INPUT_FILES + return (files,) + + +class GeminiImage(ComfyNodeABC): + """ + Node to generate text and image responses from a Gemini model. + + This node allows users to interact with Google's Gemini AI models, providing + multimodal inputs (text, images, files) to generate coherent + text and image responses. The node works with the latest Gemini models, handling the + API communication and response parsing. + """ + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Text prompt for generation", + }, + ), + "model": ( + IO.COMBO, + { + "tooltip": "The Gemini model to use for generating responses.", + "options": [model.value for model in GeminiImageModel], + "default": GeminiImageModel.gemini_2_5_flash_image_preview.value, + }, + ), + "seed": ( + IO.INT, + { + "default": 42, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used.", + }, + ), + }, + "optional": { + "images": ( + IO.IMAGE, + { + "default": None, + "tooltip": "Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node.", + }, + ), + "files": ( + "GEMINI_INPUT_FILES", + { + "default": None, + "tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node.", + }, + ), + # TODO: later we can add this parameter later + # "n": ( + # IO.INT, + # { + # "default": 1, + # "min": 1, + # "max": 8, + # "step": 1, + # "display": "number", + # "tooltip": "How many images to generate", + # }, + # ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE, IO.STRING) + FUNCTION = "api_call" + CATEGORY = "api node/image/Gemini" + DESCRIPTION = "Edit images synchronously via Google API." + API_NODE = True + + async def api_call( + self, + prompt: str, + model: GeminiImageModel, + images: Optional[IO.IMAGE] = None, + files: Optional[list[GeminiPart]] = None, + n=1, + unique_id: Optional[str] = None, + **kwargs, + ): + # Validate inputs + validate_string(prompt, strip_whitespace=True, min_length=1) + # Create parts list with text prompt as the first part + parts: list[GeminiPart] = [create_text_part(prompt)] + + # Add other modal parts + if images is not None: + image_parts = create_image_parts(images) + parts.extend(image_parts) + if files is not None: + parts.extend(files) + + response = await SynchronousOperation( + endpoint=get_gemini_image_endpoint(model), + request=GeminiImageGenerateContentRequest( + contents=[ + GeminiContent( + role="user", + parts=parts, + ), + ], + generationConfig=GeminiImageGenerationConfig( + responseModalities=["TEXT","IMAGE"] + ) + ), + auth_kwargs=kwargs, + ).execute() + + output_image = get_image_from_response(response) + output_text = get_text_from_response(response) + if unique_id and output_text: + # Not a true chat history like the OpenAI Chat node. It is emulated so the frontend can show a copy button. + render_spec = { + "node_id": unique_id, + "component": "ChatHistoryWidget", + "props": { + "history": json.dumps( + [ + { + "prompt": prompt, + "response": output_text, + "response_id": str(uuid.uuid4()), + "timestamp": time.time(), + } + ] + ), + }, + } + PromptServer.instance.send_sync( + "display_component", + render_spec, + ) + + output_text = output_text or "Empty response from Gemini model..." + return (output_image, output_text,) + + +NODE_CLASS_MAPPINGS = { + "GeminiNode": GeminiNode, + "GeminiImageNode": GeminiImage, + "GeminiInputFiles": GeminiInputFiles, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "GeminiNode": "Google Gemini", + "GeminiImageNode": "Google Gemini Image", + "GeminiInputFiles": "Gemini Input Files", +} diff --git a/comfy_api_nodes/nodes_ideogram.py b/comfy_api_nodes/nodes_ideogram.py new file mode 100644 index 0000000000000000000000000000000000000000..2d1c32e4f30a47e056ffd5212fd5486fce56e9f8 --- /dev/null +++ b/comfy_api_nodes/nodes_ideogram.py @@ -0,0 +1,842 @@ +from io import BytesIO +from typing_extensions import override +from comfy_api.latest import ComfyExtension, io as comfy_io +from PIL import Image +import numpy as np +import torch +from comfy_api_nodes.apis import ( + IdeogramGenerateRequest, + IdeogramGenerateResponse, + ImageRequest, + IdeogramV3Request, + IdeogramV3EditRequest, +) + +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, +) + +from comfy_api_nodes.apinode_utils import ( + download_url_to_bytesio, + bytesio_to_image_tensor, + resize_mask_to_image, +) +from server import PromptServer + +V1_V1_RES_MAP = { + "Auto":"AUTO", + "512 x 1536":"RESOLUTION_512_1536", + "576 x 1408":"RESOLUTION_576_1408", + "576 x 1472":"RESOLUTION_576_1472", + "576 x 1536":"RESOLUTION_576_1536", + "640 x 1024":"RESOLUTION_640_1024", + "640 x 1344":"RESOLUTION_640_1344", + "640 x 1408":"RESOLUTION_640_1408", + "640 x 1472":"RESOLUTION_640_1472", + "640 x 1536":"RESOLUTION_640_1536", + "704 x 1152":"RESOLUTION_704_1152", + "704 x 1216":"RESOLUTION_704_1216", + "704 x 1280":"RESOLUTION_704_1280", + "704 x 1344":"RESOLUTION_704_1344", + "704 x 1408":"RESOLUTION_704_1408", + "704 x 1472":"RESOLUTION_704_1472", + "720 x 1280":"RESOLUTION_720_1280", + "736 x 1312":"RESOLUTION_736_1312", + "768 x 1024":"RESOLUTION_768_1024", + "768 x 1088":"RESOLUTION_768_1088", + "768 x 1152":"RESOLUTION_768_1152", + "768 x 1216":"RESOLUTION_768_1216", + "768 x 1232":"RESOLUTION_768_1232", + "768 x 1280":"RESOLUTION_768_1280", + "768 x 1344":"RESOLUTION_768_1344", + "832 x 960":"RESOLUTION_832_960", + "832 x 1024":"RESOLUTION_832_1024", + "832 x 1088":"RESOLUTION_832_1088", + "832 x 1152":"RESOLUTION_832_1152", + "832 x 1216":"RESOLUTION_832_1216", + "832 x 1248":"RESOLUTION_832_1248", + "864 x 1152":"RESOLUTION_864_1152", + "896 x 960":"RESOLUTION_896_960", + "896 x 1024":"RESOLUTION_896_1024", + "896 x 1088":"RESOLUTION_896_1088", + "896 x 1120":"RESOLUTION_896_1120", + "896 x 1152":"RESOLUTION_896_1152", + "960 x 832":"RESOLUTION_960_832", + "960 x 896":"RESOLUTION_960_896", + "960 x 1024":"RESOLUTION_960_1024", + "960 x 1088":"RESOLUTION_960_1088", + "1024 x 640":"RESOLUTION_1024_640", + "1024 x 768":"RESOLUTION_1024_768", + "1024 x 832":"RESOLUTION_1024_832", + "1024 x 896":"RESOLUTION_1024_896", + "1024 x 960":"RESOLUTION_1024_960", + "1024 x 1024":"RESOLUTION_1024_1024", + "1088 x 768":"RESOLUTION_1088_768", + "1088 x 832":"RESOLUTION_1088_832", + "1088 x 896":"RESOLUTION_1088_896", + "1088 x 960":"RESOLUTION_1088_960", + "1120 x 896":"RESOLUTION_1120_896", + "1152 x 704":"RESOLUTION_1152_704", + "1152 x 768":"RESOLUTION_1152_768", + "1152 x 832":"RESOLUTION_1152_832", + "1152 x 864":"RESOLUTION_1152_864", + "1152 x 896":"RESOLUTION_1152_896", + "1216 x 704":"RESOLUTION_1216_704", + "1216 x 768":"RESOLUTION_1216_768", + "1216 x 832":"RESOLUTION_1216_832", + "1232 x 768":"RESOLUTION_1232_768", + "1248 x 832":"RESOLUTION_1248_832", + "1280 x 704":"RESOLUTION_1280_704", + "1280 x 720":"RESOLUTION_1280_720", + "1280 x 768":"RESOLUTION_1280_768", + "1280 x 800":"RESOLUTION_1280_800", + "1312 x 736":"RESOLUTION_1312_736", + "1344 x 640":"RESOLUTION_1344_640", + "1344 x 704":"RESOLUTION_1344_704", + "1344 x 768":"RESOLUTION_1344_768", + "1408 x 576":"RESOLUTION_1408_576", + "1408 x 640":"RESOLUTION_1408_640", + "1408 x 704":"RESOLUTION_1408_704", + "1472 x 576":"RESOLUTION_1472_576", + "1472 x 640":"RESOLUTION_1472_640", + "1472 x 704":"RESOLUTION_1472_704", + "1536 x 512":"RESOLUTION_1536_512", + "1536 x 576":"RESOLUTION_1536_576", + "1536 x 640":"RESOLUTION_1536_640", +} + +V1_V2_RATIO_MAP = { + "1:1":"ASPECT_1_1", + "4:3":"ASPECT_4_3", + "3:4":"ASPECT_3_4", + "16:9":"ASPECT_16_9", + "9:16":"ASPECT_9_16", + "2:1":"ASPECT_2_1", + "1:2":"ASPECT_1_2", + "3:2":"ASPECT_3_2", + "2:3":"ASPECT_2_3", + "4:5":"ASPECT_4_5", + "5:4":"ASPECT_5_4", +} + +V3_RATIO_MAP = { + "1:3":"1x3", + "3:1":"3x1", + "1:2":"1x2", + "2:1":"2x1", + "9:16":"9x16", + "16:9":"16x9", + "10:16":"10x16", + "16:10":"16x10", + "2:3":"2x3", + "3:2":"3x2", + "3:4":"3x4", + "4:3":"4x3", + "4:5":"4x5", + "5:4":"5x4", + "1:1":"1x1", +} + +V3_RESOLUTIONS= [ + "Auto", + "512x1536", + "576x1408", + "576x1472", + "576x1536", + "640x1344", + "640x1408", + "640x1472", + "640x1536", + "704x1152", + "704x1216", + "704x1280", + "704x1344", + "704x1408", + "704x1472", + "736x1312", + "768x1088", + "768x1216", + "768x1280", + "768x1344", + "800x1280", + "832x960", + "832x1024", + "832x1088", + "832x1152", + "832x1216", + "832x1248", + "864x1152", + "896x960", + "896x1024", + "896x1088", + "896x1120", + "896x1152", + "960x832", + "960x896", + "960x1024", + "960x1088", + "1024x832", + "1024x896", + "1024x960", + "1024x1024", + "1088x768", + "1088x832", + "1088x896", + "1088x960", + "1120x896", + "1152x704", + "1152x832", + "1152x864", + "1152x896", + "1216x704", + "1216x768", + "1216x832", + "1248x832", + "1280x704", + "1280x768", + "1280x800", + "1312x736", + "1344x640", + "1344x704", + "1344x768", + "1408x576", + "1408x640", + "1408x704", + "1472x576", + "1472x640", + "1472x704", + "1536x512", + "1536x576", + "1536x640" +] + +async def download_and_process_images(image_urls): + """Helper function to download and process multiple images from URLs""" + + # Initialize list to store image tensors + image_tensors = [] + + for image_url in image_urls: + # Using functions from apinode_utils.py to handle downloading and processing + image_bytesio = await download_url_to_bytesio(image_url) # Download image content to BytesIO + img_tensor = bytesio_to_image_tensor(image_bytesio, mode="RGB") # Convert to torch.Tensor with RGB mode + image_tensors.append(img_tensor) + + # Stack tensors to match (N, width, height, channels) + if image_tensors: + stacked_tensors = torch.cat(image_tensors, dim=0) + else: + raise Exception("No valid images were processed") + + return stacked_tensors + + +def display_image_urls_on_node(image_urls, node_id): + if node_id and image_urls: + if len(image_urls) == 1: + PromptServer.instance.send_progress_text( + f"Generated Image URL:\n{image_urls[0]}", node_id + ) + else: + urls_text = "Generated Image URLs:\n" + "\n".join( + f"{i+1}. {url}" for i, url in enumerate(image_urls) + ) + PromptServer.instance.send_progress_text(urls_text, node_id) + + +class IdeogramV1(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="IdeogramV1", + display_name="Ideogram V1", + category="api node/image/Ideogram", + description="Generates images using the Ideogram V1 model.", + is_api_node=True, + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Prompt for the image generation", + ), + comfy_io.Boolean.Input( + "turbo", + default=False, + tooltip="Whether to use turbo mode (faster generation, potentially lower quality)", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=list(V1_V2_RATIO_MAP.keys()), + default="1:1", + tooltip="The aspect ratio for image generation.", + optional=True, + ), + comfy_io.Combo.Input( + "magic_prompt_option", + options=["AUTO", "ON", "OFF"], + default="AUTO", + tooltip="Determine if MagicPrompt should be used in generation", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + control_after_generate=True, + display_mode=comfy_io.NumberDisplay.number, + optional=True, + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default="", + tooltip="Description of what to exclude from the image", + optional=True, + ), + comfy_io.Int.Input( + "num_images", + default=1, + min=1, + max=8, + step=1, + display_mode=comfy_io.NumberDisplay.number, + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + ) + + @classmethod + async def execute( + cls, + prompt, + turbo=False, + aspect_ratio="1:1", + magic_prompt_option="AUTO", + seed=0, + negative_prompt="", + num_images=1, + ): + # Determine the model based on turbo setting + aspect_ratio = V1_V2_RATIO_MAP.get(aspect_ratio, None) + model = "V_1_TURBO" if turbo else "V_1" + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/ideogram/generate", + method=HttpMethod.POST, + request_model=IdeogramGenerateRequest, + response_model=IdeogramGenerateResponse, + ), + request=IdeogramGenerateRequest( + image_request=ImageRequest( + prompt=prompt, + model=model, + num_images=num_images, + seed=seed, + aspect_ratio=aspect_ratio if aspect_ratio != "ASPECT_1_1" else None, + magic_prompt_option=( + magic_prompt_option if magic_prompt_option != "AUTO" else None + ), + negative_prompt=negative_prompt if negative_prompt else None, + ) + ), + auth_kwargs=auth, + ) + + response = await operation.execute() + + if not response.data or len(response.data) == 0: + raise Exception("No images were generated in the response") + + image_urls = [image_data.url for image_data in response.data if image_data.url] + + if not image_urls: + raise Exception("No image URLs were generated in the response") + + display_image_urls_on_node(image_urls, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_and_process_images(image_urls)) + + +class IdeogramV2(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="IdeogramV2", + display_name="Ideogram V2", + category="api node/image/Ideogram", + description="Generates images using the Ideogram V2 model.", + is_api_node=True, + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Prompt for the image generation", + ), + comfy_io.Boolean.Input( + "turbo", + default=False, + tooltip="Whether to use turbo mode (faster generation, potentially lower quality)", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=list(V1_V2_RATIO_MAP.keys()), + default="1:1", + tooltip="The aspect ratio for image generation. Ignored if resolution is not set to AUTO.", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=list(V1_V1_RES_MAP.keys()), + default="Auto", + tooltip="The resolution for image generation. " + "If not set to AUTO, this overrides the aspect_ratio setting.", + optional=True, + ), + comfy_io.Combo.Input( + "magic_prompt_option", + options=["AUTO", "ON", "OFF"], + default="AUTO", + tooltip="Determine if MagicPrompt should be used in generation", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + control_after_generate=True, + display_mode=comfy_io.NumberDisplay.number, + optional=True, + ), + comfy_io.Combo.Input( + "style_type", + options=["AUTO", "GENERAL", "REALISTIC", "DESIGN", "RENDER_3D", "ANIME"], + default="NONE", + tooltip="Style type for generation (V2 only)", + optional=True, + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default="", + tooltip="Description of what to exclude from the image", + optional=True, + ), + comfy_io.Int.Input( + "num_images", + default=1, + min=1, + max=8, + step=1, + display_mode=comfy_io.NumberDisplay.number, + optional=True, + ), + #"color_palette": ( + # IO.STRING, + # { + # "multiline": False, + # "default": "", + # "tooltip": "Color palette preset name or hex colors with weights", + # }, + #), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + ) + + @classmethod + async def execute( + cls, + prompt, + turbo=False, + aspect_ratio="1:1", + resolution="Auto", + magic_prompt_option="AUTO", + seed=0, + style_type="NONE", + negative_prompt="", + num_images=1, + color_palette="", + ): + aspect_ratio = V1_V2_RATIO_MAP.get(aspect_ratio, None) + resolution = V1_V1_RES_MAP.get(resolution, None) + # Determine the model based on turbo setting + model = "V_2_TURBO" if turbo else "V_2" + + # Handle resolution vs aspect_ratio logic + # If resolution is not AUTO, it overrides aspect_ratio + final_resolution = None + final_aspect_ratio = None + + if resolution != "AUTO": + final_resolution = resolution + else: + final_aspect_ratio = aspect_ratio if aspect_ratio != "ASPECT_1_1" else None + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/ideogram/generate", + method=HttpMethod.POST, + request_model=IdeogramGenerateRequest, + response_model=IdeogramGenerateResponse, + ), + request=IdeogramGenerateRequest( + image_request=ImageRequest( + prompt=prompt, + model=model, + num_images=num_images, + seed=seed, + aspect_ratio=final_aspect_ratio, + resolution=final_resolution, + magic_prompt_option=( + magic_prompt_option if magic_prompt_option != "AUTO" else None + ), + style_type=style_type if style_type != "NONE" else None, + negative_prompt=negative_prompt if negative_prompt else None, + color_palette=color_palette if color_palette else None, + ) + ), + auth_kwargs=auth, + ) + + response = await operation.execute() + + if not response.data or len(response.data) == 0: + raise Exception("No images were generated in the response") + + image_urls = [image_data.url for image_data in response.data if image_data.url] + + if not image_urls: + raise Exception("No image URLs were generated in the response") + + display_image_urls_on_node(image_urls, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_and_process_images(image_urls)) + + +class IdeogramV3(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="IdeogramV3", + display_name="Ideogram V3", + category="api node/image/Ideogram", + description="Generates images using the Ideogram V3 model. " + "Supports both regular image generation from text prompts and image editing with mask.", + is_api_node=True, + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Prompt for the image generation or editing", + ), + comfy_io.Image.Input( + "image", + tooltip="Optional reference image for image editing.", + optional=True, + ), + comfy_io.Mask.Input( + "mask", + tooltip="Optional mask for inpainting (white areas will be replaced)", + optional=True, + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=list(V3_RATIO_MAP.keys()), + default="1:1", + tooltip="The aspect ratio for image generation. Ignored if resolution is not set to Auto.", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=V3_RESOLUTIONS, + default="Auto", + tooltip="The resolution for image generation. " + "If not set to Auto, this overrides the aspect_ratio setting.", + optional=True, + ), + comfy_io.Combo.Input( + "magic_prompt_option", + options=["AUTO", "ON", "OFF"], + default="AUTO", + tooltip="Determine if MagicPrompt should be used in generation", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + control_after_generate=True, + display_mode=comfy_io.NumberDisplay.number, + optional=True, + ), + comfy_io.Int.Input( + "num_images", + default=1, + min=1, + max=8, + step=1, + display_mode=comfy_io.NumberDisplay.number, + optional=True, + ), + comfy_io.Combo.Input( + "rendering_speed", + options=["DEFAULT", "TURBO", "QUALITY"], + default="DEFAULT", + tooltip="Controls the trade-off between generation speed and quality", + optional=True, + ), + comfy_io.Image.Input( + "character_image", + tooltip="Image to use as character reference.", + optional=True, + ), + comfy_io.Mask.Input( + "character_mask", + tooltip="Optional mask for character reference image.", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + ) + + @classmethod + async def execute( + cls, + prompt, + image=None, + mask=None, + resolution="Auto", + aspect_ratio="1:1", + magic_prompt_option="AUTO", + seed=0, + num_images=1, + rendering_speed="DEFAULT", + character_image=None, + character_mask=None, + ): + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + if rendering_speed == "BALANCED": # for backward compatibility + rendering_speed = "DEFAULT" + + character_img_binary = None + character_mask_binary = None + + if character_image is not None: + input_tensor = character_image.squeeze().cpu() + if character_mask is not None: + character_mask = resize_mask_to_image(character_mask, character_image, allow_gradient=False) + character_mask = 1.0 - character_mask + if character_mask.shape[1:] != character_image.shape[1:-1]: + raise Exception("Character mask and image must be the same size") + + mask_np = (character_mask.squeeze().cpu().numpy() * 255).astype(np.uint8) + mask_img = Image.fromarray(mask_np) + mask_byte_arr = BytesIO() + mask_img.save(mask_byte_arr, format="PNG") + mask_byte_arr.seek(0) + character_mask_binary = mask_byte_arr + character_mask_binary.name = "mask.png" + + img_np = (input_tensor.numpy() * 255).astype(np.uint8) + img = Image.fromarray(img_np) + img_byte_arr = BytesIO() + img.save(img_byte_arr, format="PNG") + img_byte_arr.seek(0) + character_img_binary = img_byte_arr + character_img_binary.name = "image.png" + elif character_mask is not None: + raise Exception("Character mask requires character image to be present") + + # Check if both image and mask are provided for editing mode + if image is not None and mask is not None: + # Edit mode + path = "/proxy/ideogram/ideogram-v3/edit" + + # Process image and mask + input_tensor = image.squeeze().cpu() + # Resize mask to match image dimension + mask = resize_mask_to_image(mask, image, allow_gradient=False) + # Invert mask, as Ideogram API will edit black areas instead of white areas (opposite of convention). + mask = 1.0 - mask + + # Validate mask dimensions match image + if mask.shape[1:] != image.shape[1:-1]: + raise Exception("Mask and Image must be the same size") + + # Process image + img_np = (input_tensor.numpy() * 255).astype(np.uint8) + img = Image.fromarray(img_np) + img_byte_arr = BytesIO() + img.save(img_byte_arr, format="PNG") + img_byte_arr.seek(0) + img_binary = img_byte_arr + img_binary.name = "image.png" + + # Process mask - white areas will be replaced + mask_np = (mask.squeeze().cpu().numpy() * 255).astype(np.uint8) + mask_img = Image.fromarray(mask_np) + mask_byte_arr = BytesIO() + mask_img.save(mask_byte_arr, format="PNG") + mask_byte_arr.seek(0) + mask_binary = mask_byte_arr + mask_binary.name = "mask.png" + + # Create edit request + edit_request = IdeogramV3EditRequest( + prompt=prompt, + rendering_speed=rendering_speed, + ) + + # Add optional parameters + if magic_prompt_option != "AUTO": + edit_request.magic_prompt = magic_prompt_option + if seed != 0: + edit_request.seed = seed + if num_images > 1: + edit_request.num_images = num_images + + files = { + "image": img_binary, + "mask": mask_binary, + } + if character_img_binary: + files["character_reference_images"] = character_img_binary + if character_mask_binary: + files["character_mask_binary"] = character_mask_binary + + # Execute the operation for edit mode + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=IdeogramV3EditRequest, + response_model=IdeogramGenerateResponse, + ), + request=edit_request, + files=files, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + + elif image is not None or mask is not None: + # If only one of image or mask is provided, raise an error + raise Exception("Ideogram V3 image editing requires both an image AND a mask") + else: + # Generation mode + path = "/proxy/ideogram/ideogram-v3/generate" + + # Create generation request + gen_request = IdeogramV3Request( + prompt=prompt, + rendering_speed=rendering_speed, + ) + + # Handle resolution vs aspect ratio + if resolution != "Auto": + gen_request.resolution = resolution + elif aspect_ratio != "1:1": + v3_aspect = V3_RATIO_MAP.get(aspect_ratio) + if v3_aspect: + gen_request.aspect_ratio = v3_aspect + + # Add optional parameters + if magic_prompt_option != "AUTO": + gen_request.magic_prompt = magic_prompt_option + if seed != 0: + gen_request.seed = seed + if num_images > 1: + gen_request.num_images = num_images + + files = {} + if character_img_binary: + files["character_reference_images"] = character_img_binary + if character_mask_binary: + files["character_mask_binary"] = character_mask_binary + if files: + gen_request.style_type = "AUTO" + + # Execute the operation for generation mode + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=IdeogramV3Request, + response_model=IdeogramGenerateResponse, + ), + request=gen_request, + files=files if files else None, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + + # Execute the operation and process response + response = await operation.execute() + + if not response.data or len(response.data) == 0: + raise Exception("No images were generated in the response") + + image_urls = [image_data.url for image_data in response.data if image_data.url] + + if not image_urls: + raise Exception("No image URLs were generated in the response") + + display_image_urls_on_node(image_urls, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_and_process_images(image_urls)) + + +class IdeogramExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + IdeogramV1, + IdeogramV2, + IdeogramV3, + ] + +async def comfy_entrypoint() -> IdeogramExtension: + return IdeogramExtension() diff --git a/comfy_api_nodes/nodes_kling.py b/comfy_api_nodes/nodes_kling.py new file mode 100644 index 0000000000000000000000000000000000000000..5f55b2cc9b4971e3c4b833903189854753108e30 --- /dev/null +++ b/comfy_api_nodes/nodes_kling.py @@ -0,0 +1,1768 @@ +"""Kling API Nodes + +For source of truth on the allowed permutations of request fields, please reference: +- [Compatibility Table](https://app.klingai.com/global/dev/document-api/apiReference/model/skillsMap) +""" + +from __future__ import annotations +from typing import Optional, TypeVar, Any +from collections.abc import Callable +import math +import logging + +import torch + +from comfy_api_nodes.apis import ( + KlingTaskStatus, + KlingCameraControl, + KlingCameraConfig, + KlingCameraControlType, + KlingVideoGenDuration, + KlingVideoGenMode, + KlingVideoGenAspectRatio, + KlingVideoGenModelName, + KlingText2VideoRequest, + KlingText2VideoResponse, + KlingImage2VideoRequest, + KlingImage2VideoResponse, + KlingVideoExtendRequest, + KlingVideoExtendResponse, + KlingLipSyncVoiceLanguage, + KlingLipSyncInputObject, + KlingLipSyncRequest, + KlingLipSyncResponse, + KlingVirtualTryOnModelName, + KlingVirtualTryOnRequest, + KlingVirtualTryOnResponse, + KlingVideoResult, + KlingImageResult, + KlingImageGenerationsRequest, + KlingImageGenerationsResponse, + KlingImageGenImageReferenceType, + KlingImageGenModelName, + KlingImageGenAspectRatio, + KlingVideoEffectsRequest, + KlingVideoEffectsResponse, + KlingDualCharacterEffectsScene, + KlingSingleImageEffectsScene, + KlingDualCharacterEffectInput, + KlingSingleImageEffectInput, + KlingCharacterEffectModelName, + KlingSingleImageEffectModelName, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + tensor_to_base64_string, + download_url_to_video_output, + upload_video_to_comfyapi, + upload_audio_to_comfyapi, + download_url_to_image_tensor, +) +from comfy_api_nodes.mapper_utils import model_field_to_node_input +from comfy_api_nodes.util.validation_utils import ( + validate_image_dimensions, + validate_image_aspect_ratio, + validate_video_dimensions, + validate_video_duration, +) +from comfy_api.input.basic_types import AudioInput +from comfy_api.input.video_types import VideoInput +from comfy_api.input_impl import VideoFromFile +from comfy.comfy_types.node_typing import IO, InputTypeOptions, ComfyNodeABC + +KLING_API_VERSION = "v1" +PATH_TEXT_TO_VIDEO = f"/proxy/kling/{KLING_API_VERSION}/videos/text2video" +PATH_IMAGE_TO_VIDEO = f"/proxy/kling/{KLING_API_VERSION}/videos/image2video" +PATH_VIDEO_EXTEND = f"/proxy/kling/{KLING_API_VERSION}/videos/video-extend" +PATH_LIP_SYNC = f"/proxy/kling/{KLING_API_VERSION}/videos/lip-sync" +PATH_VIDEO_EFFECTS = f"/proxy/kling/{KLING_API_VERSION}/videos/effects" +PATH_CHARACTER_IMAGE = f"/proxy/kling/{KLING_API_VERSION}/images/generations" +PATH_VIRTUAL_TRY_ON = f"/proxy/kling/{KLING_API_VERSION}/images/kolors-virtual-try-on" +PATH_IMAGE_GENERATIONS = f"/proxy/kling/{KLING_API_VERSION}/images/generations" + +MAX_PROMPT_LENGTH_T2V = 2500 +MAX_PROMPT_LENGTH_I2V = 500 +MAX_PROMPT_LENGTH_IMAGE_GEN = 500 +MAX_NEGATIVE_PROMPT_LENGTH_IMAGE_GEN = 200 +MAX_PROMPT_LENGTH_LIP_SYNC = 120 + +AVERAGE_DURATION_T2V = 319 +AVERAGE_DURATION_I2V = 164 +AVERAGE_DURATION_LIP_SYNC = 455 +AVERAGE_DURATION_VIRTUAL_TRY_ON = 19 +AVERAGE_DURATION_IMAGE_GEN = 32 +AVERAGE_DURATION_VIDEO_EFFECTS = 320 +AVERAGE_DURATION_VIDEO_EXTEND = 320 + +R = TypeVar("R") + + +class KlingApiError(Exception): + """Base exception for Kling API errors.""" + + pass + + +async def poll_until_finished( + auth_kwargs: dict[str, str], + api_endpoint: ApiEndpoint[Any, R], + result_url_extractor: Optional[Callable[[R], str]] = None, + estimated_duration: Optional[int] = None, + node_id: Optional[str] = None, +) -> R: + """Polls the Kling API endpoint until the task reaches a terminal state, then returns the response.""" + return await PollingOperation( + poll_endpoint=api_endpoint, + completed_statuses=[ + KlingTaskStatus.succeed.value, + ], + failed_statuses=[KlingTaskStatus.failed.value], + status_extractor=lambda response: ( + response.data.task_status.value + if response.data and response.data.task_status + else None + ), + auth_kwargs=auth_kwargs, + result_url_extractor=result_url_extractor, + estimated_duration=estimated_duration, + node_id=node_id, + poll_interval=16.0, + max_poll_attempts=256, + ).execute() + + +def is_valid_camera_control_configs(configs: list[float]) -> bool: + """Verifies that at least one camera control configuration is non-zero.""" + return any(not math.isclose(value, 0.0) for value in configs) + + +def is_valid_prompt(prompt: str) -> bool: + """Verifies that the prompt is not empty.""" + return bool(prompt) + + +def is_valid_task_creation_response(response: KlingText2VideoResponse) -> bool: + """Verifies that the initial response contains a task ID.""" + return bool(response.data.task_id) + + +def is_valid_video_response(response: KlingText2VideoResponse) -> bool: + """Verifies that the response contains a task result with at least one video.""" + return ( + response.data is not None + and response.data.task_result is not None + and response.data.task_result.videos is not None + and len(response.data.task_result.videos) > 0 + ) + + +def is_valid_image_response(response: KlingVirtualTryOnResponse) -> bool: + """Verifies that the response contains a task result with at least one image.""" + return ( + response.data is not None + and response.data.task_result is not None + and response.data.task_result.images is not None + and len(response.data.task_result.images) > 0 + ) + + +def validate_prompts(prompt: str, negative_prompt: str, max_length: int) -> bool: + """Verifies that the positive prompt is not empty and that neither promt is too long.""" + if not prompt: + raise ValueError("Positive prompt is empty") + if len(prompt) > max_length: + raise ValueError(f"Positive prompt is too long: {len(prompt)} characters") + if negative_prompt and len(negative_prompt) > max_length: + raise ValueError( + f"Negative prompt is too long: {len(negative_prompt)} characters" + ) + return True + + +def validate_task_creation_response(response) -> None: + """Validates that the Kling task creation request was successful.""" + if not is_valid_task_creation_response(response): + error_msg = f"Kling initial request failed. Code: {response.code}, Message: {response.message}, Data: {response.data}" + logging.error(error_msg) + raise KlingApiError(error_msg) + + +def validate_video_result_response(response) -> None: + """Validates that the Kling task result contains a video.""" + if not is_valid_video_response(response): + error_msg = f"Kling task {response.data.task_id} succeeded but no video data found in response." + logging.error(f"Error: {error_msg}.\nResponse: {response}") + raise KlingApiError(error_msg) + + +def validate_image_result_response(response) -> None: + """Validates that the Kling task result contains an image.""" + if not is_valid_image_response(response): + error_msg = f"Kling task {response.data.task_id} succeeded but no image data found in response." + logging.error(f"Error: {error_msg}.\nResponse: {response}") + raise KlingApiError(error_msg) + + +def validate_input_image(image: torch.Tensor) -> None: + """ + Validates the input image adheres to the expectations of the Kling API: + - The image resolution should not be less than 300*300px + - The aspect ratio of the image should be between 1:2.5 ~ 2.5:1 + + See: https://app.klingai.com/global/dev/document-api/apiReference/model/imageToVideo + """ + validate_image_dimensions(image, min_width=300, min_height=300) + validate_image_aspect_ratio(image, min_aspect_ratio=1 / 2.5, max_aspect_ratio=2.5) + + +def get_camera_control_input_config( + tooltip: str, default: float = 0.0 +) -> tuple[IO, InputTypeOptions]: + """Returns common InputTypeOptions for Kling camera control configurations.""" + input_config = { + "default": default, + "min": -10.0, + "max": 10.0, + "step": 0.25, + "display": "slider", + "tooltip": tooltip, + } + return IO.FLOAT, input_config + + +def get_video_from_response(response) -> KlingVideoResult: + """Returns the first video object from the Kling video generation task result. + Will raise an error if the response is not valid. + """ + video = response.data.task_result.videos[0] + logging.info( + "Kling task %s succeeded. Video URL: %s", response.data.task_id, video.url + ) + return video + + +def get_video_url_from_response(response) -> Optional[str]: + """Returns the first video url from the Kling video generation task result. + Will not raise an error if the response is not valid. + """ + if response and is_valid_video_response(response): + return str(get_video_from_response(response).url) + else: + return None + + +def get_images_from_response(response) -> list[KlingImageResult]: + """Returns the list of image objects from the Kling image generation task result. + Will raise an error if the response is not valid. + """ + images = response.data.task_result.images + logging.info("Kling task %s succeeded. Images: %s", response.data.task_id, images) + return images + + +def get_images_urls_from_response(response) -> Optional[str]: + """Returns the list of image urls from the Kling image generation task result. + Will not raise an error if the response is not valid. If there is only one image, returns the url as a string. If there are multiple images, returns a list of urls. + """ + if response and is_valid_image_response(response): + images = get_images_from_response(response) + image_urls = [str(image.url) for image in images] + return "\n".join(image_urls) + else: + return None + + +async def video_result_to_node_output( + video: KlingVideoResult, +) -> tuple[VideoFromFile, str, str]: + """Converts a KlingVideoResult to a tuple of (VideoFromFile, str, str) to be used as a ComfyUI node output.""" + return ( + await download_url_to_video_output(str(video.url)), + str(video.id), + str(video.duration), + ) + + +async def image_result_to_node_output( + images: list[KlingImageResult], +) -> torch.Tensor: + """ + Converts a KlingImageResult to a tuple containing a [B, H, W, C] tensor. + If multiple images are returned, they will be stacked along the batch dimension. + """ + if len(images) == 1: + return await download_url_to_image_tensor(str(images[0].url)) + else: + return torch.cat([await download_url_to_image_tensor(str(image.url)) for image in images]) + + +class KlingNodeBase(ComfyNodeABC): + """Base class for Kling nodes.""" + + FUNCTION = "api_call" + CATEGORY = "api node/video/Kling" + API_NODE = True + + +class KlingCameraControls(KlingNodeBase): + """Kling Camera Controls Node""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "camera_control_type": model_field_to_node_input( + IO.COMBO, + KlingCameraControl, + "type", + enum_type=KlingCameraControlType, + ), + "horizontal_movement": get_camera_control_input_config( + "Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right" + ), + "vertical_movement": get_camera_control_input_config( + "Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward." + ), + "pan": get_camera_control_input_config( + "Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation.", + default=0.5, + ), + "tilt": get_camera_control_input_config( + "Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation.", + ), + "roll": get_camera_control_input_config( + "Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise.", + ), + "zoom": get_camera_control_input_config( + "Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view.", + ), + } + } + + DESCRIPTION = "Allows specifying configuration options for Kling Camera Controls and motion control effects." + RETURN_TYPES = ("CAMERA_CONTROL",) + RETURN_NAMES = ("camera_control",) + FUNCTION = "main" + API_NODE = False # This is just a helper node, it doesn't make an API call + + @classmethod + def VALIDATE_INPUTS( + cls, + horizontal_movement: float, + vertical_movement: float, + pan: float, + tilt: float, + roll: float, + zoom: float, + ) -> bool | str: + if not is_valid_camera_control_configs( + [ + horizontal_movement, + vertical_movement, + pan, + tilt, + roll, + zoom, + ] + ): + return "Invalid camera control configs: at least one of the values must be non-zero" + return True + + def main( + self, + camera_control_type: str, + horizontal_movement: float, + vertical_movement: float, + pan: float, + tilt: float, + roll: float, + zoom: float, + ) -> tuple[KlingCameraControl]: + return ( + KlingCameraControl( + type=KlingCameraControlType(camera_control_type), + config=KlingCameraConfig( + horizontal=horizontal_movement, + vertical=vertical_movement, + pan=pan, + roll=roll, + tilt=tilt, + zoom=zoom, + ), + ), + ) + + +class KlingTextToVideoNode(KlingNodeBase): + """Kling Text to Video Node""" + + @staticmethod + def get_mode_string_mapping() -> dict[str, tuple[str, str, str]]: + """ + Returns a mapping of mode strings to their corresponding (mode, duration, model_name) tuples. + Only includes config combos that support the `image_tail` request field. + + See: [Kling API Docs Capability Map](https://app.klingai.com/global/dev/document-api/apiReference/model/skillsMap) + """ + return { + "standard mode / 5s duration / kling-v1": ("std", "5", "kling-v1"), + "standard mode / 10s duration / kling-v1": ("std", "10", "kling-v1"), + "pro mode / 5s duration / kling-v1": ("pro", "5", "kling-v1"), + "pro mode / 10s duration / kling-v1": ("pro", "10", "kling-v1"), + "standard mode / 5s duration / kling-v1-6": ("std", "5", "kling-v1-6"), + "standard mode / 10s duration / kling-v1-6": ("std", "10", "kling-v1-6"), + "pro mode / 5s duration / kling-v2-master": ("pro", "5", "kling-v2-master"), + "pro mode / 10s duration / kling-v2-master": ("pro", "10", "kling-v2-master"), + "standard mode / 5s duration / kling-v2-master": ("std", "5", "kling-v2-master"), + "standard mode / 10s duration / kling-v2-master": ("std", "10", "kling-v2-master"), + "pro mode / 5s duration / kling-v2-1-master": ("pro", "5", "kling-v2-1-master"), + "pro mode / 10s duration / kling-v2-1-master": ("pro", "10", "kling-v2-1-master"), + } + + @classmethod + def INPUT_TYPES(s): + modes = list(KlingTextToVideoNode.get_mode_string_mapping().keys()) + return { + "required": { + "prompt": model_field_to_node_input( + IO.STRING, KlingText2VideoRequest, "prompt", multiline=True + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, KlingText2VideoRequest, "negative_prompt", multiline=True + ), + "cfg_scale": model_field_to_node_input( + IO.FLOAT, + KlingText2VideoRequest, + "cfg_scale", + default=1.0, + min=0.0, + max=1.0, + ), + "aspect_ratio": model_field_to_node_input( + IO.COMBO, + KlingText2VideoRequest, + "aspect_ratio", + enum_type=KlingVideoGenAspectRatio, + ), + "mode": ( + modes, + { + "default": modes[4], + "tooltip": "The configuration to use for the video generation following the format: mode / duration / model_name.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("VIDEO", "STRING", "STRING") + RETURN_NAMES = ("VIDEO", "video_id", "duration") + DESCRIPTION = "Kling Text to Video Node" + + async def get_response( + self, task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None + ) -> KlingText2VideoResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_TEXT_TO_VIDEO}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=KlingText2VideoResponse, + ), + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_T2V, + node_id=node_id, + ) + + async def api_call( + self, + prompt: str, + negative_prompt: str, + cfg_scale: float, + mode: str, + aspect_ratio: str, + camera_control: Optional[KlingCameraControl] = None, + model_name: Optional[str] = None, + duration: Optional[str] = None, + unique_id: Optional[str] = None, + **kwargs, + ) -> tuple[VideoFromFile, str, str]: + validate_prompts(prompt, negative_prompt, MAX_PROMPT_LENGTH_T2V) + if model_name is None: + mode, duration, model_name = self.get_mode_string_mapping()[mode] + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_TEXT_TO_VIDEO, + method=HttpMethod.POST, + request_model=KlingText2VideoRequest, + response_model=KlingText2VideoResponse, + ), + request=KlingText2VideoRequest( + prompt=prompt if prompt else None, + negative_prompt=negative_prompt if negative_prompt else None, + duration=KlingVideoGenDuration(duration), + mode=KlingVideoGenMode(mode), + model_name=KlingVideoGenModelName(model_name), + cfg_scale=cfg_scale, + aspect_ratio=KlingVideoGenAspectRatio(aspect_ratio), + camera_control=camera_control, + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + + task_id = task_creation_response.data.task_id + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_video_result_response(final_response) + + video = get_video_from_response(final_response) + return await video_result_to_node_output(video) + + +class KlingCameraControlT2VNode(KlingTextToVideoNode): + """ + Kling Text to Video Camera Control Node. This node is a text to video node, but it supports controlling the camera. + Duration, mode, and model_name request fields are hard-coded because camera control is only supported in pro mode with the kling-v1-5 model at 5s duration as of 2025-05-02. + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": model_field_to_node_input( + IO.STRING, KlingText2VideoRequest, "prompt", multiline=True + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + KlingText2VideoRequest, + "negative_prompt", + multiline=True, + ), + "cfg_scale": model_field_to_node_input( + IO.FLOAT, + KlingText2VideoRequest, + "cfg_scale", + default=0.75, + min=0.0, + max=1.0, + ), + "aspect_ratio": model_field_to_node_input( + IO.COMBO, + KlingText2VideoRequest, + "aspect_ratio", + enum_type=KlingVideoGenAspectRatio, + ), + "camera_control": ( + "CAMERA_CONTROL", + { + "tooltip": "Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Transform text into cinematic videos with professional camera movements that simulate real-world cinematography. Control virtual camera actions including zoom, rotation, pan, tilt, and first-person view, while maintaining focus on your original text." + + async def api_call( + self, + prompt: str, + negative_prompt: str, + cfg_scale: float, + aspect_ratio: str, + camera_control: Optional[KlingCameraControl] = None, + unique_id: Optional[str] = None, + **kwargs, + ): + return await super().api_call( + model_name=KlingVideoGenModelName.kling_v1, + cfg_scale=cfg_scale, + mode=KlingVideoGenMode.std, + aspect_ratio=KlingVideoGenAspectRatio(aspect_ratio), + duration=KlingVideoGenDuration.field_5, + prompt=prompt, + negative_prompt=negative_prompt, + camera_control=camera_control, + **kwargs, + ) + + +class KlingImage2VideoNode(KlingNodeBase): + """Kling Image to Video Node""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "start_frame": model_field_to_node_input( + IO.IMAGE, + KlingImage2VideoRequest, + "image", + tooltip="The reference image used to generate the video.", + ), + "prompt": model_field_to_node_input( + IO.STRING, KlingImage2VideoRequest, "prompt", multiline=True + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + KlingImage2VideoRequest, + "negative_prompt", + multiline=True, + ), + "model_name": model_field_to_node_input( + IO.COMBO, + KlingImage2VideoRequest, + "model_name", + enum_type=KlingVideoGenModelName, + ), + "cfg_scale": model_field_to_node_input( + IO.FLOAT, + KlingImage2VideoRequest, + "cfg_scale", + default=0.8, + min=0.0, + max=1.0, + ), + "mode": model_field_to_node_input( + IO.COMBO, + KlingImage2VideoRequest, + "mode", + enum_type=KlingVideoGenMode, + ), + "aspect_ratio": model_field_to_node_input( + IO.COMBO, + KlingImage2VideoRequest, + "aspect_ratio", + enum_type=KlingVideoGenAspectRatio, + ), + "duration": model_field_to_node_input( + IO.COMBO, + KlingImage2VideoRequest, + "duration", + enum_type=KlingVideoGenDuration, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("VIDEO", "STRING", "STRING") + RETURN_NAMES = ("VIDEO", "video_id", "duration") + DESCRIPTION = "Kling Image to Video Node" + + async def get_response( + self, task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None + ) -> KlingImage2VideoResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_IMAGE_TO_VIDEO}/{task_id}", + method=HttpMethod.GET, + request_model=KlingImage2VideoRequest, + response_model=KlingImage2VideoResponse, + ), + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_I2V, + node_id=node_id, + ) + + async def api_call( + self, + start_frame: torch.Tensor, + prompt: str, + negative_prompt: str, + model_name: str, + cfg_scale: float, + mode: str, + aspect_ratio: str, + duration: str, + camera_control: Optional[KlingCameraControl] = None, + end_frame: Optional[torch.Tensor] = None, + unique_id: Optional[str] = None, + **kwargs, + ) -> tuple[VideoFromFile]: + validate_prompts(prompt, negative_prompt, MAX_PROMPT_LENGTH_I2V) + validate_input_image(start_frame) + + if camera_control is not None: + # Camera control type for image 2 video is always `simple` + camera_control.type = KlingCameraControlType.simple + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_IMAGE_TO_VIDEO, + method=HttpMethod.POST, + request_model=KlingImage2VideoRequest, + response_model=KlingImage2VideoResponse, + ), + request=KlingImage2VideoRequest( + model_name=KlingVideoGenModelName(model_name), + image=tensor_to_base64_string(start_frame), + image_tail=( + tensor_to_base64_string(end_frame) + if end_frame is not None + else None + ), + prompt=prompt, + negative_prompt=negative_prompt if negative_prompt else None, + cfg_scale=cfg_scale, + mode=KlingVideoGenMode(mode), + duration=KlingVideoGenDuration(duration), + camera_control=camera_control, + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.data.task_id + + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_video_result_response(final_response) + + video = get_video_from_response(final_response) + return await video_result_to_node_output(video) + + +class KlingCameraControlI2VNode(KlingImage2VideoNode): + """ + Kling Image to Video Camera Control Node. This node is a image to video node, but it supports controlling the camera. + Duration, mode, and model_name request fields are hard-coded because camera control is only supported in pro mode with the kling-v1-5 model at 5s duration as of 2025-05-02. + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "start_frame": model_field_to_node_input( + IO.IMAGE, KlingImage2VideoRequest, "image" + ), + "prompt": model_field_to_node_input( + IO.STRING, KlingImage2VideoRequest, "prompt", multiline=True + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + KlingImage2VideoRequest, + "negative_prompt", + multiline=True, + ), + "cfg_scale": model_field_to_node_input( + IO.FLOAT, + KlingImage2VideoRequest, + "cfg_scale", + default=0.75, + min=0.0, + max=1.0, + ), + "aspect_ratio": model_field_to_node_input( + IO.COMBO, + KlingImage2VideoRequest, + "aspect_ratio", + enum_type=KlingVideoGenAspectRatio, + ), + "camera_control": ( + "CAMERA_CONTROL", + { + "tooltip": "Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Transform still images into cinematic videos with professional camera movements that simulate real-world cinematography. Control virtual camera actions including zoom, rotation, pan, tilt, and first-person view, while maintaining focus on your original image." + + async def api_call( + self, + start_frame: torch.Tensor, + prompt: str, + negative_prompt: str, + cfg_scale: float, + aspect_ratio: str, + camera_control: KlingCameraControl, + unique_id: Optional[str] = None, + **kwargs, + ): + return await super().api_call( + model_name=KlingVideoGenModelName.kling_v1_5, + start_frame=start_frame, + cfg_scale=cfg_scale, + mode=KlingVideoGenMode.pro, + aspect_ratio=KlingVideoGenAspectRatio(aspect_ratio), + duration=KlingVideoGenDuration.field_5, + prompt=prompt, + negative_prompt=negative_prompt, + camera_control=camera_control, + unique_id=unique_id, + **kwargs, + ) + + +class KlingStartEndFrameNode(KlingImage2VideoNode): + """ + Kling First Last Frame Node. This node allows creation of a video from a first and last frame. It calls the normal image to video endpoint, but only allows the subset of input options that support the `image_tail` request field. + """ + + @staticmethod + def get_mode_string_mapping() -> dict[str, tuple[str, str, str]]: + """ + Returns a mapping of mode strings to their corresponding (mode, duration, model_name) tuples. + Only includes config combos that support the `image_tail` request field. + + See: [Kling API Docs Capability Map](https://app.klingai.com/global/dev/document-api/apiReference/model/skillsMap) + """ + return { + "standard mode / 5s duration / kling-v1": ("std", "5", "kling-v1"), + "pro mode / 5s duration / kling-v1": ("pro", "5", "kling-v1"), + "pro mode / 5s duration / kling-v1-5": ("pro", "5", "kling-v1-5"), + "pro mode / 10s duration / kling-v1-5": ("pro", "10", "kling-v1-5"), + "pro mode / 5s duration / kling-v1-6": ("pro", "5", "kling-v1-6"), + "pro mode / 10s duration / kling-v1-6": ("pro", "10", "kling-v1-6"), + "pro mode / 5s duration / kling-v2-1": ("pro", "5", "kling-v2-1"), + "pro mode / 10s duration / kling-v2-1": ("pro", "10", "kling-v2-1"), + } + + @classmethod + def INPUT_TYPES(s): + modes = list(KlingStartEndFrameNode.get_mode_string_mapping().keys()) + return { + "required": { + "start_frame": model_field_to_node_input( + IO.IMAGE, KlingImage2VideoRequest, "image" + ), + "end_frame": model_field_to_node_input( + IO.IMAGE, KlingImage2VideoRequest, "image_tail" + ), + "prompt": model_field_to_node_input( + IO.STRING, KlingImage2VideoRequest, "prompt", multiline=True + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + KlingImage2VideoRequest, + "negative_prompt", + multiline=True, + ), + "cfg_scale": model_field_to_node_input( + IO.FLOAT, + KlingImage2VideoRequest, + "cfg_scale", + default=0.5, + min=0.0, + max=1.0, + ), + "aspect_ratio": model_field_to_node_input( + IO.COMBO, + KlingImage2VideoRequest, + "aspect_ratio", + enum_type=KlingVideoGenAspectRatio, + ), + "mode": ( + modes, + { + "default": modes[2], + "tooltip": "The configuration to use for the video generation following the format: mode / duration / model_name.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Generate a video sequence that transitions between your provided start and end images. The node creates all frames in between, producing a smooth transformation from the first frame to the last." + + async def api_call( + self, + start_frame: torch.Tensor, + end_frame: torch.Tensor, + prompt: str, + negative_prompt: str, + cfg_scale: float, + aspect_ratio: str, + mode: str, + unique_id: Optional[str] = None, + **kwargs, + ): + mode, duration, model_name = KlingStartEndFrameNode.get_mode_string_mapping()[ + mode + ] + return await super().api_call( + prompt=prompt, + negative_prompt=negative_prompt, + model_name=model_name, + start_frame=start_frame, + cfg_scale=cfg_scale, + mode=mode, + aspect_ratio=aspect_ratio, + duration=duration, + end_frame=end_frame, + unique_id=unique_id, + **kwargs, + ) + + +class KlingVideoExtendNode(KlingNodeBase): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": model_field_to_node_input( + IO.STRING, KlingVideoExtendRequest, "prompt", multiline=True + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + KlingVideoExtendRequest, + "negative_prompt", + multiline=True, + ), + "cfg_scale": model_field_to_node_input( + IO.FLOAT, + KlingVideoExtendRequest, + "cfg_scale", + default=0.5, + min=0.0, + max=1.0, + ), + "video_id": model_field_to_node_input( + IO.STRING, KlingVideoExtendRequest, "video_id", forceInput=True + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("VIDEO", "STRING", "STRING") + RETURN_NAMES = ("VIDEO", "video_id", "duration") + DESCRIPTION = "Kling Video Extend Node. Extend videos made by other Kling nodes. The video_id is created by using other Kling Nodes." + + async def get_response( + self, task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None + ) -> KlingVideoExtendResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_VIDEO_EXTEND}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=KlingVideoExtendResponse, + ), + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_VIDEO_EXTEND, + node_id=node_id, + ) + + async def api_call( + self, + prompt: str, + negative_prompt: str, + cfg_scale: float, + video_id: str, + unique_id: Optional[str] = None, + **kwargs, + ) -> tuple[VideoFromFile, str, str]: + validate_prompts(prompt, negative_prompt, MAX_PROMPT_LENGTH_T2V) + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_VIDEO_EXTEND, + method=HttpMethod.POST, + request_model=KlingVideoExtendRequest, + response_model=KlingVideoExtendResponse, + ), + request=KlingVideoExtendRequest( + prompt=prompt if prompt else None, + negative_prompt=negative_prompt if negative_prompt else None, + cfg_scale=cfg_scale, + video_id=video_id, + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.data.task_id + + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_video_result_response(final_response) + + video = get_video_from_response(final_response) + return await video_result_to_node_output(video) + + +class KlingVideoEffectsBase(KlingNodeBase): + """Kling Video Effects Base""" + + RETURN_TYPES = ("VIDEO", "STRING", "STRING") + RETURN_NAMES = ("VIDEO", "video_id", "duration") + + async def get_response( + self, task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None + ) -> KlingVideoEffectsResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_VIDEO_EFFECTS}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=KlingVideoEffectsResponse, + ), + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_VIDEO_EFFECTS, + node_id=node_id, + ) + + async def api_call( + self, + dual_character: bool, + effect_scene: KlingDualCharacterEffectsScene | KlingSingleImageEffectsScene, + model_name: str, + duration: KlingVideoGenDuration, + image_1: torch.Tensor, + image_2: Optional[torch.Tensor] = None, + mode: Optional[KlingVideoGenMode] = None, + unique_id: Optional[str] = None, + **kwargs, + ): + if dual_character: + request_input_field = KlingDualCharacterEffectInput( + model_name=model_name, + mode=mode, + images=[ + tensor_to_base64_string(image_1), + tensor_to_base64_string(image_2), + ], + duration=duration, + ) + else: + request_input_field = KlingSingleImageEffectInput( + model_name=model_name, + image=tensor_to_base64_string(image_1), + duration=duration, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_VIDEO_EFFECTS, + method=HttpMethod.POST, + request_model=KlingVideoEffectsRequest, + response_model=KlingVideoEffectsResponse, + ), + request=KlingVideoEffectsRequest( + effect_scene=effect_scene, + input=request_input_field, + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.data.task_id + + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_video_result_response(final_response) + + video = get_video_from_response(final_response) + return await video_result_to_node_output(video) + + +class KlingDualCharacterVideoEffectNode(KlingVideoEffectsBase): + """Kling Dual Character Video Effect Node""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image_left": (IO.IMAGE, {"tooltip": "Left side image"}), + "image_right": (IO.IMAGE, {"tooltip": "Right side image"}), + "effect_scene": model_field_to_node_input( + IO.COMBO, + KlingVideoEffectsRequest, + "effect_scene", + enum_type=KlingDualCharacterEffectsScene, + ), + "model_name": model_field_to_node_input( + IO.COMBO, + KlingDualCharacterEffectInput, + "model_name", + enum_type=KlingCharacterEffectModelName, + ), + "mode": model_field_to_node_input( + IO.COMBO, + KlingDualCharacterEffectInput, + "mode", + enum_type=KlingVideoGenMode, + ), + "duration": model_field_to_node_input( + IO.COMBO, + KlingDualCharacterEffectInput, + "duration", + enum_type=KlingVideoGenDuration, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Achieve different special effects when generating a video based on the effect_scene. First image will be positioned on left side, second on right side of the composite." + RETURN_TYPES = ("VIDEO", "STRING") + RETURN_NAMES = ("VIDEO", "duration") + + async def api_call( + self, + image_left: torch.Tensor, + image_right: torch.Tensor, + effect_scene: KlingDualCharacterEffectsScene, + model_name: KlingCharacterEffectModelName, + mode: KlingVideoGenMode, + duration: KlingVideoGenDuration, + unique_id: Optional[str] = None, + **kwargs, + ): + video, _, duration = await super().api_call( + dual_character=True, + effect_scene=effect_scene, + model_name=model_name, + mode=mode, + duration=duration, + image_1=image_left, + image_2=image_right, + unique_id=unique_id, + **kwargs, + ) + return video, duration + + +class KlingSingleImageVideoEffectNode(KlingVideoEffectsBase): + """Kling Single Image Video Effect Node""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ( + IO.IMAGE, + { + "tooltip": " Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1" + }, + ), + "effect_scene": model_field_to_node_input( + IO.COMBO, + KlingVideoEffectsRequest, + "effect_scene", + enum_type=KlingSingleImageEffectsScene, + ), + "model_name": model_field_to_node_input( + IO.COMBO, + KlingSingleImageEffectInput, + "model_name", + enum_type=KlingSingleImageEffectModelName, + ), + "duration": model_field_to_node_input( + IO.COMBO, + KlingSingleImageEffectInput, + "duration", + enum_type=KlingVideoGenDuration, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Achieve different special effects when generating a video based on the effect_scene." + + async def api_call( + self, + image: torch.Tensor, + effect_scene: KlingSingleImageEffectsScene, + model_name: KlingSingleImageEffectModelName, + duration: KlingVideoGenDuration, + unique_id: Optional[str] = None, + **kwargs, + ): + return await super().api_call( + dual_character=False, + effect_scene=effect_scene, + model_name=model_name, + duration=duration, + image_1=image, + unique_id=unique_id, + **kwargs, + ) + + +class KlingLipSyncBase(KlingNodeBase): + """Kling Lip Sync Base""" + + RETURN_TYPES = ("VIDEO", "STRING", "STRING") + RETURN_NAMES = ("VIDEO", "video_id", "duration") + + def validate_lip_sync_video(self, video: VideoInput): + """ + Validates the input video adheres to the expectations of the Kling Lip Sync API: + - Video length does not exceed 10s and is not shorter than 2s + - Length and width dimensions should both be between 720px and 1920px + + See: https://app.klingai.com/global/dev/document-api/apiReference/model/videoTolip + """ + validate_video_dimensions(video, 720, 1920) + validate_video_duration(video, 2, 10) + + def validate_text(self, text: str): + if not text: + raise ValueError("Text is required") + if len(text) > MAX_PROMPT_LENGTH_LIP_SYNC: + raise ValueError( + f"Text is too long. Maximum length is {MAX_PROMPT_LENGTH_LIP_SYNC} characters." + ) + + async def get_response( + self, task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None + ) -> KlingLipSyncResponse: + """Polls the Kling API endpoint until the task reaches a terminal state.""" + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_LIP_SYNC}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=KlingLipSyncResponse, + ), + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_LIP_SYNC, + node_id=node_id, + ) + + async def api_call( + self, + video: VideoInput, + audio: Optional[AudioInput] = None, + voice_language: Optional[str] = None, + mode: Optional[str] = None, + text: Optional[str] = None, + voice_speed: Optional[float] = None, + voice_id: Optional[str] = None, + unique_id: Optional[str] = None, + **kwargs, + ) -> tuple[VideoFromFile, str, str]: + if text: + self.validate_text(text) + self.validate_lip_sync_video(video) + + # Upload video to Comfy API and get download URL + video_url = await upload_video_to_comfyapi(video, auth_kwargs=kwargs) + logging.info("Uploaded video to Comfy API. URL: %s", video_url) + + # Upload the audio file to Comfy API and get download URL + if audio: + audio_url = await upload_audio_to_comfyapi(audio, auth_kwargs=kwargs) + logging.info("Uploaded audio to Comfy API. URL: %s", audio_url) + else: + audio_url = None + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_LIP_SYNC, + method=HttpMethod.POST, + request_model=KlingLipSyncRequest, + response_model=KlingLipSyncResponse, + ), + request=KlingLipSyncRequest( + input=KlingLipSyncInputObject( + video_url=video_url, + mode=mode, + text=text, + voice_language=voice_language, + voice_speed=voice_speed, + audio_type="url", + audio_url=audio_url, + voice_id=voice_id, + ), + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.data.task_id + + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_video_result_response(final_response) + + video = get_video_from_response(final_response) + return await video_result_to_node_output(video) + + +class KlingLipSyncAudioToVideoNode(KlingLipSyncBase): + """Kling Lip Sync Audio to Video Node. Syncs mouth movements in a video file to the audio content of an audio file.""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "video": (IO.VIDEO, {}), + "audio": (IO.AUDIO, {}), + "voice_language": model_field_to_node_input( + IO.COMBO, + KlingLipSyncInputObject, + "voice_language", + enum_type=KlingLipSyncVoiceLanguage, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Kling Lip Sync Audio to Video Node. Syncs mouth movements in a video file to the audio content of an audio file. When using, ensure that the audio contains clearly distinguishable vocals and that the video contains a distinct face. The audio file should not be larger than 5MB. The video file should not be larger than 100MB, should have height/width between 720px and 1920px, and should be between 2s and 10s in length." + + async def api_call( + self, + video: VideoInput, + audio: AudioInput, + voice_language: str, + unique_id: Optional[str] = None, + **kwargs, + ): + return await super().api_call( + video=video, + audio=audio, + voice_language=voice_language, + mode="audio2video", + unique_id=unique_id, + **kwargs, + ) + + +class KlingLipSyncTextToVideoNode(KlingLipSyncBase): + """Kling Lip Sync Text to Video Node. Syncs mouth movements in a video file to a text prompt.""" + + @staticmethod + def get_voice_config() -> dict[str, tuple[str, str]]: + return { + # English voices + "Melody": ("girlfriend_4_speech02", "en"), + "Sunny": ("genshin_vindi2", "en"), + "Sage": ("zhinen_xuesheng", "en"), + "Ace": ("AOT", "en"), + "Blossom": ("ai_shatang", "en"), + "Peppy": ("genshin_klee2", "en"), + "Dove": ("genshin_kirara", "en"), + "Shine": ("ai_kaiya", "en"), + "Anchor": ("oversea_male1", "en"), + "Lyric": ("ai_chenjiahao_712", "en"), + "Tender": ("chat1_female_new-3", "en"), + "Siren": ("chat_0407_5-1", "en"), + "Zippy": ("cartoon-boy-07", "en"), + "Bud": ("uk_boy1", "en"), + "Sprite": ("cartoon-girl-01", "en"), + "Candy": ("PeppaPig_platform", "en"), + "Beacon": ("ai_huangzhong_712", "en"), + "Rock": ("ai_huangyaoshi_712", "en"), + "Titan": ("ai_laoguowang_712", "en"), + "Grace": ("chengshu_jiejie", "en"), + "Helen": ("you_pingjing", "en"), + "Lore": ("calm_story1", "en"), + "Crag": ("uk_man2", "en"), + "Prattle": ("laopopo_speech02", "en"), + "Hearth": ("heainainai_speech02", "en"), + "The Reader": ("reader_en_m-v1", "en"), + "Commercial Lady": ("commercial_lady_en_f-v1", "en"), + # Chinese voices + "阳光少年": ("genshin_vindi2", "zh"), + "懂事小弟": ("zhinen_xuesheng", "zh"), + "运动少年": ("tiyuxi_xuedi", "zh"), + "青春少女": ("ai_shatang", "zh"), + "温柔小妹": ("genshin_klee2", "zh"), + "元气少女": ("genshin_kirara", "zh"), + "阳光男生": ("ai_kaiya", "zh"), + "幽默小哥": ("tiexin_nanyou", "zh"), + "文艺小哥": ("ai_chenjiahao_712", "zh"), + "甜美邻家": ("girlfriend_1_speech02", "zh"), + "温柔姐姐": ("chat1_female_new-3", "zh"), + "职场女青": ("girlfriend_2_speech02", "zh"), + "活泼男童": ("cartoon-boy-07", "zh"), + "俏皮女童": ("cartoon-girl-01", "zh"), + "稳重老爸": ("ai_huangyaoshi_712", "zh"), + "温柔妈妈": ("you_pingjing", "zh"), + "严肃上司": ("ai_laoguowang_712", "zh"), + "优雅贵妇": ("chengshu_jiejie", "zh"), + "慈祥爷爷": ("zhuxi_speech02", "zh"), + "唠叨爷爷": ("uk_oldman3", "zh"), + "唠叨奶奶": ("laopopo_speech02", "zh"), + "和蔼奶奶": ("heainainai_speech02", "zh"), + "东北老铁": ("dongbeilaotie_speech02", "zh"), + "重庆小伙": ("chongqingxiaohuo_speech02", "zh"), + "四川妹子": ("chuanmeizi_speech02", "zh"), + "潮汕大叔": ("chaoshandashu_speech02", "zh"), + "台湾男生": ("ai_taiwan_man2_speech02", "zh"), + "西安掌柜": ("xianzhanggui_speech02", "zh"), + "天津姐姐": ("tianjinjiejie_speech02", "zh"), + "新闻播报男": ("diyinnansang_DB_CN_M_04-v2", "zh"), + "译制片男": ("yizhipiannan-v1", "zh"), + "撒娇女友": ("tianmeixuemei-v1", "zh"), + "刀片烟嗓": ("daopianyansang-v1", "zh"), + "乖巧正太": ("mengwa-v1", "zh"), + } + + @classmethod + def INPUT_TYPES(s): + voice_options = list(s.get_voice_config().keys()) + return { + "required": { + "video": (IO.VIDEO, {}), + "text": model_field_to_node_input( + IO.STRING, KlingLipSyncInputObject, "text", multiline=True + ), + "voice": (voice_options, {"default": voice_options[0]}), + "voice_speed": model_field_to_node_input( + IO.FLOAT, KlingLipSyncInputObject, "voice_speed", slider=True + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Kling Lip Sync Text to Video Node. Syncs mouth movements in a video file to a text prompt. The video file should not be larger than 100MB, should have height/width between 720px and 1920px, and should be between 2s and 10s in length." + + async def api_call( + self, + video: VideoInput, + text: str, + voice: str, + voice_speed: float, + unique_id: Optional[str] = None, + **kwargs, + ): + voice_id, voice_language = KlingLipSyncTextToVideoNode.get_voice_config()[voice] + return await super().api_call( + video=video, + text=text, + voice_language=voice_language, + voice_id=voice_id, + voice_speed=voice_speed, + mode="text2video", + unique_id=unique_id, + **kwargs, + ) + + +class KlingImageGenerationBase(KlingNodeBase): + """Kling Image Generation Base Node.""" + + RETURN_TYPES = ("IMAGE",) + CATEGORY = "api node/image/Kling" + + def validate_prompt(self, prompt: str, negative_prompt: Optional[str] = None): + if not prompt or len(prompt) > MAX_PROMPT_LENGTH_IMAGE_GEN: + raise ValueError( + f"Prompt must be less than {MAX_PROMPT_LENGTH_IMAGE_GEN} characters" + ) + if negative_prompt and len(negative_prompt) > MAX_PROMPT_LENGTH_IMAGE_GEN: + raise ValueError( + f"Negative prompt must be less than {MAX_PROMPT_LENGTH_IMAGE_GEN} characters" + ) + + +class KlingVirtualTryOnNode(KlingImageGenerationBase): + """Kling Virtual Try On Node.""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "human_image": (IO.IMAGE, {}), + "cloth_image": (IO.IMAGE, {}), + "model_name": model_field_to_node_input( + IO.COMBO, + KlingVirtualTryOnRequest, + "model_name", + enum_type=KlingVirtualTryOnModelName, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Kling Virtual Try On Node. Input a human image and a cloth image to try on the cloth on the human. You can merge multiple clothing item pictures into one image with a white background." + + async def get_response( + self, task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None + ) -> KlingVirtualTryOnResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_VIRTUAL_TRY_ON}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=KlingVirtualTryOnResponse, + ), + result_url_extractor=get_images_urls_from_response, + estimated_duration=AVERAGE_DURATION_VIRTUAL_TRY_ON, + node_id=node_id, + ) + + async def api_call( + self, + human_image: torch.Tensor, + cloth_image: torch.Tensor, + model_name: KlingVirtualTryOnModelName, + unique_id: Optional[str] = None, + **kwargs, + ): + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_VIRTUAL_TRY_ON, + method=HttpMethod.POST, + request_model=KlingVirtualTryOnRequest, + response_model=KlingVirtualTryOnResponse, + ), + request=KlingVirtualTryOnRequest( + human_image=tensor_to_base64_string(human_image), + cloth_image=tensor_to_base64_string(cloth_image), + model_name=model_name, + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.data.task_id + + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_image_result_response(final_response) + + images = get_images_from_response(final_response) + return (await image_result_to_node_output(images),) + + +class KlingImageGenerationNode(KlingImageGenerationBase): + """Kling Image Generation Node. Generate an image from a text prompt with an optional reference image.""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": model_field_to_node_input( + IO.STRING, + KlingImageGenerationsRequest, + "prompt", + multiline=True, + max_length=MAX_PROMPT_LENGTH_IMAGE_GEN, + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + KlingImageGenerationsRequest, + "negative_prompt", + multiline=True, + ), + "image_type": model_field_to_node_input( + IO.COMBO, + KlingImageGenerationsRequest, + "image_reference", + enum_type=KlingImageGenImageReferenceType, + ), + "image_fidelity": model_field_to_node_input( + IO.FLOAT, + KlingImageGenerationsRequest, + "image_fidelity", + slider=True, + step=0.01, + ), + "human_fidelity": model_field_to_node_input( + IO.FLOAT, + KlingImageGenerationsRequest, + "human_fidelity", + slider=True, + step=0.01, + ), + "model_name": model_field_to_node_input( + IO.COMBO, + KlingImageGenerationsRequest, + "model_name", + enum_type=KlingImageGenModelName, + ), + "aspect_ratio": model_field_to_node_input( + IO.COMBO, + KlingImageGenerationsRequest, + "aspect_ratio", + enum_type=KlingImageGenAspectRatio, + ), + "n": model_field_to_node_input( + IO.INT, + KlingImageGenerationsRequest, + "n", + ), + }, + "optional": { + "image": (IO.IMAGE, {}), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Kling Image Generation Node. Generate an image from a text prompt with an optional reference image." + + async def get_response( + self, + task_id: str, + auth_kwargs: Optional[dict[str, str]], + node_id: Optional[str] = None, + ) -> KlingImageGenerationsResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_IMAGE_GENERATIONS}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=KlingImageGenerationsResponse, + ), + result_url_extractor=get_images_urls_from_response, + estimated_duration=AVERAGE_DURATION_IMAGE_GEN, + node_id=node_id, + ) + + async def api_call( + self, + model_name: KlingImageGenModelName, + prompt: str, + negative_prompt: str, + image_type: KlingImageGenImageReferenceType, + image_fidelity: float, + human_fidelity: float, + n: int, + aspect_ratio: KlingImageGenAspectRatio, + image: Optional[torch.Tensor] = None, + unique_id: Optional[str] = None, + **kwargs, + ): + self.validate_prompt(prompt, negative_prompt) + + if image is None: + image_type = None + elif model_name == KlingImageGenModelName.kling_v1: + raise ValueError(f"The model {KlingImageGenModelName.kling_v1.value} does not support reference images.") + else: + image = tensor_to_base64_string(image) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_IMAGE_GENERATIONS, + method=HttpMethod.POST, + request_model=KlingImageGenerationsRequest, + response_model=KlingImageGenerationsResponse, + ), + request=KlingImageGenerationsRequest( + model_name=model_name, + prompt=prompt, + negative_prompt=negative_prompt, + image=image, + image_reference=image_type, + image_fidelity=image_fidelity, + human_fidelity=human_fidelity, + n=n, + aspect_ratio=aspect_ratio, + ), + auth_kwargs=kwargs, + ) + + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.data.task_id + + final_response = await self.get_response( + task_id, auth_kwargs=kwargs, node_id=unique_id + ) + validate_image_result_response(final_response) + + images = get_images_from_response(final_response) + return (await image_result_to_node_output(images),) + + +NODE_CLASS_MAPPINGS = { + "KlingCameraControls": KlingCameraControls, + "KlingTextToVideoNode": KlingTextToVideoNode, + "KlingImage2VideoNode": KlingImage2VideoNode, + "KlingCameraControlI2VNode": KlingCameraControlI2VNode, + "KlingCameraControlT2VNode": KlingCameraControlT2VNode, + "KlingStartEndFrameNode": KlingStartEndFrameNode, + "KlingVideoExtendNode": KlingVideoExtendNode, + "KlingLipSyncAudioToVideoNode": KlingLipSyncAudioToVideoNode, + "KlingLipSyncTextToVideoNode": KlingLipSyncTextToVideoNode, + "KlingVirtualTryOnNode": KlingVirtualTryOnNode, + "KlingImageGenerationNode": KlingImageGenerationNode, + "KlingSingleImageVideoEffectNode": KlingSingleImageVideoEffectNode, + "KlingDualCharacterVideoEffectNode": KlingDualCharacterVideoEffectNode, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "KlingCameraControls": "Kling Camera Controls", + "KlingTextToVideoNode": "Kling Text to Video", + "KlingImage2VideoNode": "Kling Image to Video", + "KlingCameraControlI2VNode": "Kling Image to Video (Camera Control)", + "KlingCameraControlT2VNode": "Kling Text to Video (Camera Control)", + "KlingStartEndFrameNode": "Kling Start-End Frame to Video", + "KlingVideoExtendNode": "Kling Video Extend", + "KlingLipSyncAudioToVideoNode": "Kling Lip Sync Video with Audio", + "KlingLipSyncTextToVideoNode": "Kling Lip Sync Video with Text", + "KlingVirtualTryOnNode": "Kling Virtual Try On", + "KlingImageGenerationNode": "Kling Image Generation", + "KlingSingleImageVideoEffectNode": "Kling Video Effects", + "KlingDualCharacterVideoEffectNode": "Kling Dual Character Video Effects", +} diff --git a/comfy_api_nodes/nodes_luma.py b/comfy_api_nodes/nodes_luma.py new file mode 100644 index 0000000000000000000000000000000000000000..b3c32bed55c547e981aa5d497d4464e36f78b0d8 --- /dev/null +++ b/comfy_api_nodes/nodes_luma.py @@ -0,0 +1,741 @@ +from __future__ import annotations +from inspect import cleandoc +from typing import Optional +from comfy.comfy_types.node_typing import IO, ComfyNodeABC +from comfy_api.input_impl.video_types import VideoFromFile +from comfy_api_nodes.apis.luma_api import ( + LumaImageModel, + LumaVideoModel, + LumaVideoOutputResolution, + LumaVideoModelOutputDuration, + LumaAspectRatio, + LumaState, + LumaImageGenerationRequest, + LumaGenerationRequest, + LumaGeneration, + LumaCharacterRef, + LumaModifyImageRef, + LumaImageIdentity, + LumaReference, + LumaReferenceChain, + LumaImageReference, + LumaKeyframes, + LumaConceptChain, + LumaIO, + get_luma_concepts, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + upload_images_to_comfyapi, + process_image_response, + validate_string, +) +from server import PromptServer + +import aiohttp +import torch +from io import BytesIO + +LUMA_T2V_AVERAGE_DURATION = 105 +LUMA_I2V_AVERAGE_DURATION = 100 + +def image_result_url_extractor(response: LumaGeneration): + return response.assets.image if hasattr(response, "assets") and hasattr(response.assets, "image") else None + +def video_result_url_extractor(response: LumaGeneration): + return response.assets.video if hasattr(response, "assets") and hasattr(response.assets, "video") else None + +class LumaReferenceNode(ComfyNodeABC): + """ + Holds an image and weight for use with Luma Generate Image node. + """ + + RETURN_TYPES = (LumaIO.LUMA_REF,) + RETURN_NAMES = ("luma_ref",) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "create_luma_reference" + CATEGORY = "api node/image/Luma" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ( + IO.IMAGE, + { + "tooltip": "Image to use as reference.", + }, + ), + "weight": ( + IO.FLOAT, + { + "default": 1.0, + "min": 0.0, + "max": 1.0, + "step": 0.01, + "tooltip": "Weight of image reference.", + }, + ), + }, + "optional": {"luma_ref": (LumaIO.LUMA_REF,)}, + } + + def create_luma_reference( + self, image: torch.Tensor, weight: float, luma_ref: LumaReferenceChain = None + ): + if luma_ref is not None: + luma_ref = luma_ref.clone() + else: + luma_ref = LumaReferenceChain() + luma_ref.add(LumaReference(image=image, weight=round(weight, 2))) + return (luma_ref,) + + +class LumaConceptsNode(ComfyNodeABC): + """ + Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes. + """ + + RETURN_TYPES = (LumaIO.LUMA_CONCEPTS,) + RETURN_NAMES = ("luma_concepts",) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "create_concepts" + CATEGORY = "api node/video/Luma" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "concept1": (get_luma_concepts(include_none=True),), + "concept2": (get_luma_concepts(include_none=True),), + "concept3": (get_luma_concepts(include_none=True),), + "concept4": (get_luma_concepts(include_none=True),), + }, + "optional": { + "luma_concepts": ( + LumaIO.LUMA_CONCEPTS, + { + "tooltip": "Optional Camera Concepts to add to the ones chosen here." + }, + ), + }, + } + + def create_concepts( + self, + concept1: str, + concept2: str, + concept3: str, + concept4: str, + luma_concepts: LumaConceptChain = None, + ): + chain = LumaConceptChain(str_list=[concept1, concept2, concept3, concept4]) + if luma_concepts is not None: + chain = luma_concepts.clone_and_merge(chain) + return (chain,) + + +class LumaImageGenerationNode(ComfyNodeABC): + """ + Generates images synchronously based on prompt and aspect ratio. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Luma" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "model": ([model.value for model in LumaImageModel],), + "aspect_ratio": ( + [ratio.value for ratio in LumaAspectRatio], + { + "default": LumaAspectRatio.ratio_16_9, + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + "style_image_weight": ( + IO.FLOAT, + { + "default": 1.0, + "min": 0.0, + "max": 1.0, + "step": 0.01, + "tooltip": "Weight of style image. Ignored if no style_image provided.", + }, + ), + }, + "optional": { + "image_luma_ref": ( + LumaIO.LUMA_REF, + { + "tooltip": "Luma Reference node connection to influence generation with input images; up to 4 images can be considered." + }, + ), + "style_image": ( + IO.IMAGE, + {"tooltip": "Style reference image; only 1 image will be used."}, + ), + "character_image": ( + IO.IMAGE, + { + "tooltip": "Character reference images; can be a batch of multiple, up to 4 images can be considered." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + model: str, + aspect_ratio: str, + seed, + style_image_weight: float, + image_luma_ref: LumaReferenceChain = None, + style_image: torch.Tensor = None, + character_image: torch.Tensor = None, + unique_id: str = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=True, min_length=3) + # handle image_luma_ref + api_image_ref = None + if image_luma_ref is not None: + api_image_ref = await self._convert_luma_refs( + image_luma_ref, max_refs=4, auth_kwargs=kwargs, + ) + # handle style_luma_ref + api_style_ref = None + if style_image is not None: + api_style_ref = await self._convert_style_image( + style_image, weight=style_image_weight, auth_kwargs=kwargs, + ) + # handle character_ref images + character_ref = None + if character_image is not None: + download_urls = await upload_images_to_comfyapi( + character_image, max_images=4, auth_kwargs=kwargs, + ) + character_ref = LumaCharacterRef( + identity0=LumaImageIdentity(images=download_urls) + ) + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/luma/generations/image", + method=HttpMethod.POST, + request_model=LumaImageGenerationRequest, + response_model=LumaGeneration, + ), + request=LumaImageGenerationRequest( + prompt=prompt, + model=model, + aspect_ratio=aspect_ratio, + image_ref=api_image_ref, + style_ref=api_style_ref, + character_ref=character_ref, + ), + auth_kwargs=kwargs, + ) + response_api: LumaGeneration = await operation.execute() + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/luma/generations/{response_api.id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=LumaGeneration, + ), + completed_statuses=[LumaState.completed], + failed_statuses=[LumaState.failed], + status_extractor=lambda x: x.state, + result_url_extractor=image_result_url_extractor, + node_id=unique_id, + auth_kwargs=kwargs, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.assets.image) as img_response: + img = process_image_response(await img_response.content.read()) + return (img,) + + async def _convert_luma_refs( + self, luma_ref: LumaReferenceChain, max_refs: int, auth_kwargs: Optional[dict[str,str]] = None + ): + luma_urls = [] + ref_count = 0 + for ref in luma_ref.refs: + download_urls = await upload_images_to_comfyapi( + ref.image, max_images=1, auth_kwargs=auth_kwargs + ) + luma_urls.append(download_urls[0]) + ref_count += 1 + if ref_count >= max_refs: + break + return luma_ref.create_api_model(download_urls=luma_urls, max_refs=max_refs) + + async def _convert_style_image( + self, style_image: torch.Tensor, weight: float, auth_kwargs: Optional[dict[str,str]] = None + ): + chain = LumaReferenceChain( + first_ref=LumaReference(image=style_image, weight=weight) + ) + return await self._convert_luma_refs(chain, max_refs=1, auth_kwargs=auth_kwargs) + + +class LumaImageModifyNode(ComfyNodeABC): + """ + Modifies images synchronously based on prompt and aspect ratio. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Luma" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation", + }, + ), + "image_weight": ( + IO.FLOAT, + { + "default": 0.1, + "min": 0.0, + "max": 0.98, + "step": 0.01, + "tooltip": "Weight of the image; the closer to 1.0, the less the image will be modified.", + }, + ), + "model": ([model.value for model in LumaImageModel],), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": {}, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + model: str, + image: torch.Tensor, + image_weight: float, + seed, + unique_id: str = None, + **kwargs, + ): + # first, upload image + download_urls = await upload_images_to_comfyapi( + image, max_images=1, auth_kwargs=kwargs, + ) + image_url = download_urls[0] + # next, make Luma call with download url provided + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/luma/generations/image", + method=HttpMethod.POST, + request_model=LumaImageGenerationRequest, + response_model=LumaGeneration, + ), + request=LumaImageGenerationRequest( + prompt=prompt, + model=model, + modify_image_ref=LumaModifyImageRef( + url=image_url, weight=round(max(min(1.0-image_weight, 0.98), 0.0), 2) + ), + ), + auth_kwargs=kwargs, + ) + response_api: LumaGeneration = await operation.execute() + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/luma/generations/{response_api.id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=LumaGeneration, + ), + completed_statuses=[LumaState.completed], + failed_statuses=[LumaState.failed], + status_extractor=lambda x: x.state, + result_url_extractor=image_result_url_extractor, + node_id=unique_id, + auth_kwargs=kwargs, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.assets.image) as img_response: + img = process_image_response(await img_response.content.read()) + return (img,) + + +class LumaTextToVideoGenerationNode(ComfyNodeABC): + """ + Generates videos synchronously based on prompt and output_size. + """ + + RETURN_TYPES = (IO.VIDEO,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/video/Luma" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the video generation", + }, + ), + "model": ([model.value for model in LumaVideoModel],), + "aspect_ratio": ( + [ratio.value for ratio in LumaAspectRatio], + { + "default": LumaAspectRatio.ratio_16_9, + }, + ), + "resolution": ( + [resolution.value for resolution in LumaVideoOutputResolution], + { + "default": LumaVideoOutputResolution.res_540p, + }, + ), + "duration": ([dur.value for dur in LumaVideoModelOutputDuration],), + "loop": ( + IO.BOOLEAN, + { + "default": False, + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "luma_concepts": ( + LumaIO.LUMA_CONCEPTS, + { + "tooltip": "Optional Camera Concepts to dictate camera motion via the Luma Concepts node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + model: str, + aspect_ratio: str, + resolution: str, + duration: str, + loop: bool, + seed, + luma_concepts: LumaConceptChain = None, + unique_id: str = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False, min_length=3) + duration = duration if model != LumaVideoModel.ray_1_6 else None + resolution = resolution if model != LumaVideoModel.ray_1_6 else None + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/luma/generations", + method=HttpMethod.POST, + request_model=LumaGenerationRequest, + response_model=LumaGeneration, + ), + request=LumaGenerationRequest( + prompt=prompt, + model=model, + resolution=resolution, + aspect_ratio=aspect_ratio, + duration=duration, + loop=loop, + concepts=luma_concepts.create_api_model() if luma_concepts else None, + ), + auth_kwargs=kwargs, + ) + response_api: LumaGeneration = await operation.execute() + + if unique_id: + PromptServer.instance.send_progress_text(f"Luma video generation started: {response_api.id}", unique_id) + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/luma/generations/{response_api.id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=LumaGeneration, + ), + completed_statuses=[LumaState.completed], + failed_statuses=[LumaState.failed], + status_extractor=lambda x: x.state, + result_url_extractor=video_result_url_extractor, + node_id=unique_id, + estimated_duration=LUMA_T2V_AVERAGE_DURATION, + auth_kwargs=kwargs, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.assets.video) as vid_response: + return (VideoFromFile(BytesIO(await vid_response.content.read())),) + + +class LumaImageToVideoGenerationNode(ComfyNodeABC): + """ + Generates videos synchronously based on prompt, input images, and output_size. + """ + + RETURN_TYPES = (IO.VIDEO,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/video/Luma" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the video generation", + }, + ), + "model": ([model.value for model in LumaVideoModel],), + # "aspect_ratio": ([ratio.value for ratio in LumaAspectRatio], { + # "default": LumaAspectRatio.ratio_16_9, + # }), + "resolution": ( + [resolution.value for resolution in LumaVideoOutputResolution], + { + "default": LumaVideoOutputResolution.res_540p, + }, + ), + "duration": ([dur.value for dur in LumaVideoModelOutputDuration],), + "loop": ( + IO.BOOLEAN, + { + "default": False, + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "first_image": ( + IO.IMAGE, + {"tooltip": "First frame of generated video."}, + ), + "last_image": (IO.IMAGE, {"tooltip": "Last frame of generated video."}), + "luma_concepts": ( + LumaIO.LUMA_CONCEPTS, + { + "tooltip": "Optional Camera Concepts to dictate camera motion via the Luma Concepts node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + model: str, + resolution: str, + duration: str, + loop: bool, + seed, + first_image: torch.Tensor = None, + last_image: torch.Tensor = None, + luma_concepts: LumaConceptChain = None, + unique_id: str = None, + **kwargs, + ): + if first_image is None and last_image is None: + raise Exception( + "At least one of first_image and last_image requires an input." + ) + keyframes = await self._convert_to_keyframes(first_image, last_image, auth_kwargs=kwargs) + duration = duration if model != LumaVideoModel.ray_1_6 else None + resolution = resolution if model != LumaVideoModel.ray_1_6 else None + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/luma/generations", + method=HttpMethod.POST, + request_model=LumaGenerationRequest, + response_model=LumaGeneration, + ), + request=LumaGenerationRequest( + prompt=prompt, + model=model, + aspect_ratio=LumaAspectRatio.ratio_16_9, # ignored, but still needed by the API for some reason + resolution=resolution, + duration=duration, + loop=loop, + keyframes=keyframes, + concepts=luma_concepts.create_api_model() if luma_concepts else None, + ), + auth_kwargs=kwargs, + ) + response_api: LumaGeneration = await operation.execute() + + if unique_id: + PromptServer.instance.send_progress_text(f"Luma video generation started: {response_api.id}", unique_id) + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/luma/generations/{response_api.id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=LumaGeneration, + ), + completed_statuses=[LumaState.completed], + failed_statuses=[LumaState.failed], + status_extractor=lambda x: x.state, + result_url_extractor=video_result_url_extractor, + node_id=unique_id, + estimated_duration=LUMA_I2V_AVERAGE_DURATION, + auth_kwargs=kwargs, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.assets.video) as vid_response: + return (VideoFromFile(BytesIO(await vid_response.content.read())),) + + async def _convert_to_keyframes( + self, + first_image: torch.Tensor = None, + last_image: torch.Tensor = None, + auth_kwargs: Optional[dict[str,str]] = None, + ): + if first_image is None and last_image is None: + return None + frame0 = None + frame1 = None + if first_image is not None: + download_urls = await upload_images_to_comfyapi( + first_image, max_images=1, auth_kwargs=auth_kwargs, + ) + frame0 = LumaImageReference(type="image", url=download_urls[0]) + if last_image is not None: + download_urls = await upload_images_to_comfyapi( + last_image, max_images=1, auth_kwargs=auth_kwargs, + ) + frame1 = LumaImageReference(type="image", url=download_urls[0]) + return LumaKeyframes(frame0=frame0, frame1=frame1) + + +# A dictionary that contains all nodes you want to export with their names +# NOTE: names should be globally unique +NODE_CLASS_MAPPINGS = { + "LumaImageNode": LumaImageGenerationNode, + "LumaImageModifyNode": LumaImageModifyNode, + "LumaVideoNode": LumaTextToVideoGenerationNode, + "LumaImageToVideoNode": LumaImageToVideoGenerationNode, + "LumaReferenceNode": LumaReferenceNode, + "LumaConceptsNode": LumaConceptsNode, +} + +# A dictionary that contains the friendly/humanly readable titles for the nodes +NODE_DISPLAY_NAME_MAPPINGS = { + "LumaImageNode": "Luma Text to Image", + "LumaImageModifyNode": "Luma Image to Image", + "LumaVideoNode": "Luma Text to Video", + "LumaImageToVideoNode": "Luma Image to Video", + "LumaReferenceNode": "Luma Reference", + "LumaConceptsNode": "Luma Concepts", +} diff --git a/comfy_api_nodes/nodes_minimax.py b/comfy_api_nodes/nodes_minimax.py new file mode 100644 index 0000000000000000000000000000000000000000..bf560661c70f8b59e8949d674f9a38bf3f9a1b81 --- /dev/null +++ b/comfy_api_nodes/nodes_minimax.py @@ -0,0 +1,531 @@ +from inspect import cleandoc +from typing import Optional +import logging +import torch + +from typing_extensions import override +from comfy_api.latest import ComfyExtension, io as comfy_io +from comfy_api.input_impl.video_types import VideoFromFile +from comfy_api_nodes.apis import ( + MinimaxVideoGenerationRequest, + MinimaxVideoGenerationResponse, + MinimaxFileRetrieveResponse, + MinimaxTaskResultResponse, + SubjectReferenceItem, + MiniMaxModel, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + download_url_to_bytesio, + upload_images_to_comfyapi, + validate_string, +) +from server import PromptServer + + +I2V_AVERAGE_DURATION = 114 +T2V_AVERAGE_DURATION = 234 + + +async def _generate_mm_video( + *, + auth: dict[str, str], + node_id: str, + prompt_text: str, + seed: int, + model: str, + image: Optional[torch.Tensor] = None, # used for ImageToVideo + subject: Optional[torch.Tensor] = None, # used for SubjectToVideo + average_duration: Optional[int] = None, +) -> comfy_io.NodeOutput: + if image is None: + validate_string(prompt_text, field_name="prompt_text") + # upload image, if passed in + image_url = None + if image is not None: + image_url = (await upload_images_to_comfyapi(image, max_images=1, auth_kwargs=auth))[0] + + # TODO: figure out how to deal with subject properly, API returns invalid params when using S2V-01 model + subject_reference = None + if subject is not None: + subject_url = (await upload_images_to_comfyapi(subject, max_images=1, auth_kwargs=auth))[0] + subject_reference = [SubjectReferenceItem(image=subject_url)] + + + video_generate_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/minimax/video_generation", + method=HttpMethod.POST, + request_model=MinimaxVideoGenerationRequest, + response_model=MinimaxVideoGenerationResponse, + ), + request=MinimaxVideoGenerationRequest( + model=MiniMaxModel(model), + prompt=prompt_text, + callback_url=None, + first_frame_image=image_url, + subject_reference=subject_reference, + prompt_optimizer=None, + ), + auth_kwargs=auth, + ) + response = await video_generate_operation.execute() + + task_id = response.task_id + if not task_id: + raise Exception(f"MiniMax generation failed: {response.base_resp}") + + video_generate_operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path="/proxy/minimax/query/video_generation", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=MinimaxTaskResultResponse, + query_params={"task_id": task_id}, + ), + completed_statuses=["Success"], + failed_statuses=["Fail"], + status_extractor=lambda x: x.status.value, + estimated_duration=average_duration, + node_id=node_id, + auth_kwargs=auth, + ) + task_result = await video_generate_operation.execute() + + file_id = task_result.file_id + if file_id is None: + raise Exception("Request was not successful. Missing file ID.") + file_retrieve_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/minimax/files/retrieve", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=MinimaxFileRetrieveResponse, + query_params={"file_id": int(file_id)}, + ), + request=EmptyRequest(), + auth_kwargs=auth, + ) + file_result = await file_retrieve_operation.execute() + + file_url = file_result.file.download_url + if file_url is None: + raise Exception( + f"No video was found in the response. Full response: {file_result.model_dump()}" + ) + logging.info("Generated video URL: %s", file_url) + if node_id: + if hasattr(file_result.file, "backup_download_url"): + message = f"Result URL: {file_url}\nBackup URL: {file_result.file.backup_download_url}" + else: + message = f"Result URL: {file_url}" + PromptServer.instance.send_progress_text(message, node_id) + + # Download and return as VideoFromFile + video_io = await download_url_to_bytesio(file_url) + if video_io is None: + error_msg = f"Failed to download video from {file_url}" + logging.error(error_msg) + raise Exception(error_msg) + return comfy_io.NodeOutput(VideoFromFile(video_io)) + + +class MinimaxTextToVideoNode(comfy_io.ComfyNode): + """ + Generates videos synchronously based on a prompt, and optional parameters using MiniMax's API. + """ + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MinimaxTextToVideoNode", + display_name="MiniMax Text to Video", + category="api node/video/MiniMax", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.String.Input( + "prompt_text", + multiline=True, + default="", + tooltip="Text prompt to guide the video generation", + ), + comfy_io.Combo.Input( + "model", + options=["T2V-01", "T2V-01-Director"], + default="T2V-01", + tooltip="Model to use for video generation", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=0xFFFFFFFFFFFFFFFF, + step=1, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + optional=True, + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt_text: str, + model: str = "T2V-01", + seed: int = 0, + ) -> comfy_io.NodeOutput: + return await _generate_mm_video( + auth={ + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + }, + node_id=cls.hidden.unique_id, + prompt_text=prompt_text, + seed=seed, + model=model, + image=None, + subject=None, + average_duration=T2V_AVERAGE_DURATION, + ) + + +class MinimaxImageToVideoNode(comfy_io.ComfyNode): + """ + Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. + """ + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MinimaxImageToVideoNode", + display_name="MiniMax Image to Video", + category="api node/video/MiniMax", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Image.Input( + "image", + tooltip="Image to use as first frame of video generation", + ), + comfy_io.String.Input( + "prompt_text", + multiline=True, + default="", + tooltip="Text prompt to guide the video generation", + ), + comfy_io.Combo.Input( + "model", + options=["I2V-01-Director", "I2V-01", "I2V-01-live"], + default="I2V-01", + tooltip="Model to use for video generation", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=0xFFFFFFFFFFFFFFFF, + step=1, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + optional=True, + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + image: torch.Tensor, + prompt_text: str, + model: str = "I2V-01", + seed: int = 0, + ) -> comfy_io.NodeOutput: + return await _generate_mm_video( + auth={ + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + }, + node_id=cls.hidden.unique_id, + prompt_text=prompt_text, + seed=seed, + model=model, + image=image, + subject=None, + average_duration=I2V_AVERAGE_DURATION, + ) + + +class MinimaxSubjectToVideoNode(comfy_io.ComfyNode): + """ + Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. + """ + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MinimaxSubjectToVideoNode", + display_name="MiniMax Subject to Video", + category="api node/video/MiniMax", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Image.Input( + "subject", + tooltip="Image of subject to reference for video generation", + ), + comfy_io.String.Input( + "prompt_text", + multiline=True, + default="", + tooltip="Text prompt to guide the video generation", + ), + comfy_io.Combo.Input( + "model", + options=["S2V-01"], + default="S2V-01", + tooltip="Model to use for video generation", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=0xFFFFFFFFFFFFFFFF, + step=1, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + optional=True, + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + subject: torch.Tensor, + prompt_text: str, + model: str = "S2V-01", + seed: int = 0, + ) -> comfy_io.NodeOutput: + return await _generate_mm_video( + auth={ + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + }, + node_id=cls.hidden.unique_id, + prompt_text=prompt_text, + seed=seed, + model=model, + image=None, + subject=subject, + average_duration=T2V_AVERAGE_DURATION, + ) + + +class MinimaxHailuoVideoNode(comfy_io.ComfyNode): + """Generates videos from prompt, with optional start frame using the new MiniMax Hailuo-02 model.""" + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MinimaxHailuoVideoNode", + display_name="MiniMax Hailuo Video", + category="api node/video/MiniMax", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.String.Input( + "prompt_text", + multiline=True, + default="", + tooltip="Text prompt to guide the video generation.", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=0xFFFFFFFFFFFFFFFF, + step=1, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + optional=True, + ), + comfy_io.Image.Input( + "first_frame_image", + tooltip="Optional image to use as the first frame to generate a video.", + optional=True, + ), + comfy_io.Boolean.Input( + "prompt_optimizer", + default=True, + tooltip="Optimize prompt to improve generation quality when needed.", + optional=True, + ), + comfy_io.Combo.Input( + "duration", + options=[6, 10], + default=6, + tooltip="The length of the output video in seconds.", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=["768P", "1080P"], + default="768P", + tooltip="The dimensions of the video display. 1080p is 1920x1080, 768p is 1366x768.", + optional=True, + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt_text: str, + seed: int = 0, + first_frame_image: Optional[torch.Tensor] = None, # used for ImageToVideo + prompt_optimizer: bool = True, + duration: int = 6, + resolution: str = "768P", + model: str = "MiniMax-Hailuo-02", + ) -> comfy_io.NodeOutput: + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + if first_frame_image is None: + validate_string(prompt_text, field_name="prompt_text") + + if model == "MiniMax-Hailuo-02" and resolution.upper() == "1080P" and duration != 6: + raise Exception( + "When model is MiniMax-Hailuo-02 and resolution is 1080P, duration is limited to 6 seconds." + ) + + # upload image, if passed in + image_url = None + if first_frame_image is not None: + image_url = (await upload_images_to_comfyapi(first_frame_image, max_images=1, auth_kwargs=auth))[0] + + video_generate_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/minimax/video_generation", + method=HttpMethod.POST, + request_model=MinimaxVideoGenerationRequest, + response_model=MinimaxVideoGenerationResponse, + ), + request=MinimaxVideoGenerationRequest( + model=MiniMaxModel(model), + prompt=prompt_text, + callback_url=None, + first_frame_image=image_url, + prompt_optimizer=prompt_optimizer, + duration=duration, + resolution=resolution, + ), + auth_kwargs=auth, + ) + response = await video_generate_operation.execute() + + task_id = response.task_id + if not task_id: + raise Exception(f"MiniMax generation failed: {response.base_resp}") + + average_duration = 120 if resolution == "768P" else 240 + video_generate_operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path="/proxy/minimax/query/video_generation", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=MinimaxTaskResultResponse, + query_params={"task_id": task_id}, + ), + completed_statuses=["Success"], + failed_statuses=["Fail"], + status_extractor=lambda x: x.status.value, + estimated_duration=average_duration, + node_id=cls.hidden.unique_id, + auth_kwargs=auth, + ) + task_result = await video_generate_operation.execute() + + file_id = task_result.file_id + if file_id is None: + raise Exception("Request was not successful. Missing file ID.") + file_retrieve_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/minimax/files/retrieve", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=MinimaxFileRetrieveResponse, + query_params={"file_id": int(file_id)}, + ), + request=EmptyRequest(), + auth_kwargs=auth, + ) + file_result = await file_retrieve_operation.execute() + + file_url = file_result.file.download_url + if file_url is None: + raise Exception( + f"No video was found in the response. Full response: {file_result.model_dump()}" + ) + logging.info(f"Generated video URL: {file_url}") + if cls.hidden.unique_id: + if hasattr(file_result.file, "backup_download_url"): + message = f"Result URL: {file_url}\nBackup URL: {file_result.file.backup_download_url}" + else: + message = f"Result URL: {file_url}" + PromptServer.instance.send_progress_text(message, cls.hidden.unique_id) + + video_io = await download_url_to_bytesio(file_url) + if video_io is None: + error_msg = f"Failed to download video from {file_url}" + logging.error(error_msg) + raise Exception(error_msg) + return comfy_io.NodeOutput(VideoFromFile(video_io)) + + +class MinimaxExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + MinimaxTextToVideoNode, + MinimaxImageToVideoNode, + # MinimaxSubjectToVideoNode, + MinimaxHailuoVideoNode, + ] + + +async def comfy_entrypoint() -> MinimaxExtension: + return MinimaxExtension() diff --git a/comfy_api_nodes/nodes_moonvalley.py b/comfy_api_nodes/nodes_moonvalley.py new file mode 100644 index 0000000000000000000000000000000000000000..08e838fef65a4efa3f671981dced20aeadf4eac6 --- /dev/null +++ b/comfy_api_nodes/nodes_moonvalley.py @@ -0,0 +1,821 @@ +import logging +from typing import Any, Callable, Optional, TypeVar +import torch +from typing_extensions import override +from comfy_api_nodes.util.validation_utils import ( + get_image_dimensions, + validate_image_dimensions, +) + + +from comfy_api_nodes.apis import ( + MoonvalleyTextToVideoRequest, + MoonvalleyTextToVideoInferenceParams, + MoonvalleyVideoToVideoInferenceParams, + MoonvalleyVideoToVideoRequest, + MoonvalleyPromptResponse, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + download_url_to_video_output, + upload_images_to_comfyapi, + upload_video_to_comfyapi, +) + +from comfy_api.input import VideoInput +from comfy_api.latest import ComfyExtension, InputImpl, io as comfy_io +import av +import io + +API_UPLOADS_ENDPOINT = "/proxy/moonvalley/uploads" +API_PROMPTS_ENDPOINT = "/proxy/moonvalley/prompts" +API_VIDEO2VIDEO_ENDPOINT = "/proxy/moonvalley/prompts/video-to-video" +API_TXT2VIDEO_ENDPOINT = "/proxy/moonvalley/prompts/text-to-video" +API_IMG2VIDEO_ENDPOINT = "/proxy/moonvalley/prompts/image-to-video" + +MIN_WIDTH = 300 +MIN_HEIGHT = 300 + +MAX_WIDTH = 10000 +MAX_HEIGHT = 10000 + +MIN_VID_WIDTH = 300 +MIN_VID_HEIGHT = 300 + +MAX_VID_WIDTH = 10000 +MAX_VID_HEIGHT = 10000 + +MAX_VIDEO_SIZE = 1024 * 1024 * 1024 # 1 GB max for in-memory video processing + +MOONVALLEY_MAREY_MAX_PROMPT_LENGTH = 5000 +R = TypeVar("R") + + +class MoonvalleyApiError(Exception): + """Base exception for Moonvalley API errors.""" + + pass + + +def is_valid_task_creation_response(response: MoonvalleyPromptResponse) -> bool: + """Verifies that the initial response contains a task ID.""" + return bool(response.id) + + +def validate_task_creation_response(response) -> None: + if not is_valid_task_creation_response(response): + error_msg = f"Moonvalley Marey API: Initial request failed. Code: {response.code}, Message: {response.message}, Data: {response}" + logging.error(error_msg) + raise MoonvalleyApiError(error_msg) + + +def get_video_from_response(response): + video = response.output_url + logging.info( + "Moonvalley Marey API: Task %s succeeded. Video URL: %s", response.id, video + ) + return video + + +def get_video_url_from_response(response) -> Optional[str]: + """Returns the first video url from the Moonvalley video generation task result. + Will not raise an error if the response is not valid. + """ + if response: + return str(get_video_from_response(response)) + else: + return None + + +async def poll_until_finished( + auth_kwargs: dict[str, str], + api_endpoint: ApiEndpoint[Any, R], + result_url_extractor: Optional[Callable[[R], str]] = None, + node_id: Optional[str] = None, +) -> R: + """Polls the Moonvalley API endpoint until the task reaches a terminal state, then returns the response.""" + return await PollingOperation( + poll_endpoint=api_endpoint, + completed_statuses=[ + "completed", + ], + max_poll_attempts=240, # 64 minutes with 16s interval + poll_interval=16.0, + failed_statuses=["error"], + status_extractor=lambda response: ( + response.status if response and response.status else None + ), + auth_kwargs=auth_kwargs, + result_url_extractor=result_url_extractor, + node_id=node_id, + ).execute() + + +def validate_prompts( + prompt: str, negative_prompt: str, max_length=MOONVALLEY_MAREY_MAX_PROMPT_LENGTH +): + """Verifies that the prompt isn't empty and that neither prompt is too long.""" + if not prompt: + raise ValueError("Positive prompt is empty") + if len(prompt) > max_length: + raise ValueError(f"Positive prompt is too long: {len(prompt)} characters") + if negative_prompt and len(negative_prompt) > max_length: + raise ValueError( + f"Negative prompt is too long: {len(negative_prompt)} characters" + ) + return True + + +def validate_input_media(width, height, with_frame_conditioning, num_frames_in=None): + # inference validation + # T = num_frames + # in all cases, the following must be true: T divisible by 16 and H,W by 8. in addition... + # with image conditioning: H*W must be divisible by 8192 + # without image conditioning: T divisible by 32 + if num_frames_in and not num_frames_in % 16 == 0: + return False, ("The input video total frame count must be divisible by 16!") + + if height % 8 != 0 or width % 8 != 0: + return False, ( + f"Height ({height}) and width ({width}) must be " "divisible by 8" + ) + + if with_frame_conditioning: + if (height * width) % 8192 != 0: + return False, ( + f"Height * width ({height * width}) must be " + "divisible by 8192 for frame conditioning" + ) + else: + if num_frames_in and not num_frames_in % 32 == 0: + return False, ("The input video total frame count must be divisible by 32!") + + +def validate_input_image( + image: torch.Tensor, with_frame_conditioning: bool = False +) -> None: + """ + Validates the input image adheres to the expectations of the API: + - The image resolution should not be less than 300*300px + - The aspect ratio of the image should be between 1:2.5 ~ 2.5:1 + + """ + height, width = get_image_dimensions(image) + validate_input_media(width, height, with_frame_conditioning) + validate_image_dimensions( + image, min_width=300, min_height=300, max_height=MAX_HEIGHT, max_width=MAX_WIDTH + ) + + +def validate_video_to_video_input(video: VideoInput) -> VideoInput: + """ + Validates and processes video input for Moonvalley Video-to-Video generation. + + Args: + video: Input video to validate + + Returns: + Validated and potentially trimmed video + + Raises: + ValueError: If video doesn't meet requirements + MoonvalleyApiError: If video duration is too short + """ + width, height = _get_video_dimensions(video) + _validate_video_dimensions(width, height) + _validate_container_format(video) + + return _validate_and_trim_duration(video) + + +def _get_video_dimensions(video: VideoInput) -> tuple[int, int]: + """Extracts video dimensions with error handling.""" + try: + return video.get_dimensions() + except Exception as e: + logging.error("Error getting dimensions of video: %s", e) + raise ValueError(f"Cannot get video dimensions: {e}") from e + + +def _validate_video_dimensions(width: int, height: int) -> None: + """Validates video dimensions meet Moonvalley V2V requirements.""" + supported_resolutions = { + (1920, 1080), + (1080, 1920), + (1152, 1152), + (1536, 1152), + (1152, 1536), + } + + if (width, height) not in supported_resolutions: + supported_list = ", ".join( + [f"{w}x{h}" for w, h in sorted(supported_resolutions)] + ) + raise ValueError( + f"Resolution {width}x{height} not supported. Supported: {supported_list}" + ) + + +def _validate_container_format(video: VideoInput) -> None: + """Validates video container format is MP4.""" + container_format = video.get_container_format() + if container_format not in ["mp4", "mov,mp4,m4a,3gp,3g2,mj2"]: + raise ValueError( + f"Only MP4 container format supported. Got: {container_format}" + ) + + +def _validate_and_trim_duration(video: VideoInput) -> VideoInput: + """Validates video duration and trims to 5 seconds if needed.""" + duration = video.get_duration() + _validate_minimum_duration(duration) + return _trim_if_too_long(video, duration) + + +def _validate_minimum_duration(duration: float) -> None: + """Ensures video is at least 5 seconds long.""" + if duration < 5: + raise MoonvalleyApiError("Input video must be at least 5 seconds long.") + + +def _trim_if_too_long(video: VideoInput, duration: float) -> VideoInput: + """Trims video to 5 seconds if longer.""" + if duration > 5: + return trim_video(video, 5) + return video + + +def trim_video(video: VideoInput, duration_sec: float) -> VideoInput: + """ + Returns a new VideoInput object trimmed from the beginning to the specified duration, + using av to avoid loading entire video into memory. + + Args: + video: Input video to trim + duration_sec: Duration in seconds to keep from the beginning + + Returns: + VideoFromFile object that owns the output buffer + """ + output_buffer = io.BytesIO() + + input_container = None + output_container = None + + try: + # Get the stream source - this avoids loading entire video into memory + # when the source is already a file path + input_source = video.get_stream_source() + + # Open containers + input_container = av.open(input_source, mode="r") + output_container = av.open(output_buffer, mode="w", format="mp4") + + # Set up output streams for re-encoding + video_stream = None + audio_stream = None + + for stream in input_container.streams: + logging.info(f"Found stream: type={stream.type}, class={type(stream)}") + if isinstance(stream, av.VideoStream): + # Create output video stream with same parameters + video_stream = output_container.add_stream( + "h264", rate=stream.average_rate + ) + video_stream.width = stream.width + video_stream.height = stream.height + video_stream.pix_fmt = "yuv420p" + logging.info( + f"Added video stream: {stream.width}x{stream.height} @ {stream.average_rate}fps" + ) + elif isinstance(stream, av.AudioStream): + # Create output audio stream with same parameters + audio_stream = output_container.add_stream( + "aac", rate=stream.sample_rate + ) + audio_stream.sample_rate = stream.sample_rate + audio_stream.layout = stream.layout + logging.info( + f"Added audio stream: {stream.sample_rate}Hz, {stream.channels} channels" + ) + + # Calculate target frame count that's divisible by 16 + fps = input_container.streams.video[0].average_rate + estimated_frames = int(duration_sec * fps) + target_frames = ( + estimated_frames // 16 + ) * 16 # Round down to nearest multiple of 16 + + if target_frames == 0: + raise ValueError("Video too short: need at least 16 frames for Moonvalley") + + frame_count = 0 + audio_frame_count = 0 + + # Decode and re-encode video frames + if video_stream: + for frame in input_container.decode(video=0): + if frame_count >= target_frames: + break + + # Re-encode frame + for packet in video_stream.encode(frame): + output_container.mux(packet) + frame_count += 1 + + # Flush encoder + for packet in video_stream.encode(): + output_container.mux(packet) + + logging.info( + f"Encoded {frame_count} video frames (target: {target_frames})" + ) + + # Decode and re-encode audio frames + if audio_stream: + input_container.seek(0) # Reset to beginning for audio + for frame in input_container.decode(audio=0): + if frame.time >= duration_sec: + break + + # Re-encode frame + for packet in audio_stream.encode(frame): + output_container.mux(packet) + audio_frame_count += 1 + + # Flush encoder + for packet in audio_stream.encode(): + output_container.mux(packet) + + logging.info(f"Encoded {audio_frame_count} audio frames") + + # Close containers + output_container.close() + input_container.close() + + # Return as VideoFromFile using the buffer + output_buffer.seek(0) + return InputImpl.VideoFromFile(output_buffer) + + except Exception as e: + # Clean up on error + if input_container is not None: + input_container.close() + if output_container is not None: + output_container.close() + raise RuntimeError(f"Failed to trim video: {str(e)}") from e + + +def parse_width_height_from_res(resolution: str): + # Accepts a string like "16:9 (1920 x 1080)" and returns width, height as a dict + res_map = { + "16:9 (1920 x 1080)": {"width": 1920, "height": 1080}, + "9:16 (1080 x 1920)": {"width": 1080, "height": 1920}, + "1:1 (1152 x 1152)": {"width": 1152, "height": 1152}, + "4:3 (1536 x 1152)": {"width": 1536, "height": 1152}, + "3:4 (1152 x 1536)": {"width": 1152, "height": 1536}, + "21:9 (2560 x 1080)": {"width": 2560, "height": 1080}, + } + return res_map.get(resolution, {"width": 1920, "height": 1080}) + + +def parse_control_parameter(value): + control_map = { + "Motion Transfer": "motion_control", + "Canny": "canny_control", + "Pose Transfer": "pose_control", + "Depth": "depth_control", + } + return control_map.get(value, control_map["Motion Transfer"]) + + +async def get_response( + task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None +) -> MoonvalleyPromptResponse: + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{API_PROMPTS_ENDPOINT}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=MoonvalleyPromptResponse, + ), + result_url_extractor=get_video_url_from_response, + node_id=node_id, + ) + + +class MoonvalleyImg2VideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MoonvalleyImg2VideoNode", + display_name="Moonvalley Marey Image to Video", + category="api node/video/Moonvalley Marey", + description="Moonvalley Marey Image to Video Node", + inputs=[ + comfy_io.Image.Input( + "image", + tooltip="The reference image used to generate the video", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default=" gopro, bright, contrast, static, overexposed, vignette, " + "artifacts, still, noise, texture, scanlines, videogame, 360 camera, VR, transition, " + "flare, saturation, distorted, warped, wide angle, saturated, vibrant, glowing, " + "cross dissolve, cheesy, ugly hands, mutated hands, mutant, disfigured, extra fingers, " + "blown out, horrible, blurry, worst quality, bad, dissolve, melt, fade in, fade out, " + "wobbly, weird, low quality, plastic, stock footage, video camera, boring", + tooltip="Negative prompt text", + ), + comfy_io.Combo.Input( + "resolution", + options=[ + "16:9 (1920 x 1080)", + "9:16 (1080 x 1920)", + "1:1 (1152 x 1152)", + "4:3 (1536 x 1152)", + "3:4 (1152 x 1536)", + "21:9 (2560 x 1080)", + ], + default="16:9 (1920 x 1080)", + tooltip="Resolution of the output video", + ), + comfy_io.Float.Input( + "prompt_adherence", + default=10.0, + min=1.0, + max=20.0, + step=1.0, + tooltip="Guidance scale for generation control", + ), + comfy_io.Int.Input( + "seed", + default=9, + min=0, + max=4294967295, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Random seed value", + ), + comfy_io.Int.Input( + "steps", + default=100, + min=1, + max=100, + step=1, + tooltip="Number of denoising steps", + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + image: torch.Tensor, + prompt: str, + negative_prompt: str, + resolution: str, + prompt_adherence: float, + seed: int, + steps: int, + ) -> comfy_io.NodeOutput: + validate_input_image(image, True) + validate_prompts(prompt, negative_prompt, MOONVALLEY_MAREY_MAX_PROMPT_LENGTH) + width_height = parse_width_height_from_res(resolution) + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + inference_params = MoonvalleyTextToVideoInferenceParams( + negative_prompt=negative_prompt, + steps=steps, + seed=seed, + guidance_scale=prompt_adherence, + num_frames=128, + width=width_height["width"], + height=width_height["height"], + use_negative_prompts=True, + ) + """Upload image to comfy backend to have a URL available for further processing""" + # Get MIME type from tensor - assuming PNG format for image tensors + mime_type = "image/png" + + image_url = ( + await upload_images_to_comfyapi( + image, max_images=1, auth_kwargs=auth, mime_type=mime_type + ) + )[0] + + request = MoonvalleyTextToVideoRequest( + image_url=image_url, prompt_text=prompt, inference_params=inference_params + ) + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=API_IMG2VIDEO_ENDPOINT, + method=HttpMethod.POST, + request_model=MoonvalleyTextToVideoRequest, + response_model=MoonvalleyPromptResponse, + ), + request=request, + auth_kwargs=auth, + ) + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.id + + final_response = await get_response( + task_id, auth_kwargs=auth, node_id=cls.hidden.unique_id + ) + video = await download_url_to_video_output(final_response.output_url) + return comfy_io.NodeOutput(video) + + +class MoonvalleyVideo2VideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MoonvalleyVideo2VideoNode", + display_name="Moonvalley Marey Video to Video", + category="api node/video/Moonvalley Marey", + description="", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="Describes the video to generate", + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default=" gopro, bright, contrast, static, overexposed, vignette, " + "artifacts, still, noise, texture, scanlines, videogame, 360 camera, VR, transition, " + "flare, saturation, distorted, warped, wide angle, saturated, vibrant, glowing, " + "cross dissolve, cheesy, ugly hands, mutated hands, mutant, disfigured, extra fingers, " + "blown out, horrible, blurry, worst quality, bad, dissolve, melt, fade in, fade out, " + "wobbly, weird, low quality, plastic, stock footage, video camera, boring", + tooltip="Negative prompt text", + ), + comfy_io.Int.Input( + "seed", + default=9, + min=0, + max=4294967295, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Random seed value", + control_after_generate=False, + ), + comfy_io.Video.Input( + "video", + tooltip="The reference video used to generate the output video. Must be at least 5 seconds long. " + "Videos longer than 5s will be automatically trimmed. Only MP4 format supported.", + ), + comfy_io.Combo.Input( + "control_type", + options=["Motion Transfer", "Pose Transfer"], + default="Motion Transfer", + optional=True, + ), + comfy_io.Int.Input( + "motion_intensity", + default=100, + min=0, + max=100, + step=1, + tooltip="Only used if control_type is 'Motion Transfer'", + optional=True, + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + negative_prompt: str, + seed: int, + video: Optional[VideoInput] = None, + control_type: str = "Motion Transfer", + motion_intensity: Optional[int] = 100, + ) -> comfy_io.NodeOutput: + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + validated_video = validate_video_to_video_input(video) + video_url = await upload_video_to_comfyapi(validated_video, auth_kwargs=auth) + + """Validate prompts and inference input""" + validate_prompts(prompt, negative_prompt) + + # Only include motion_intensity for Motion Transfer + control_params = {} + if control_type == "Motion Transfer" and motion_intensity is not None: + control_params["motion_intensity"] = motion_intensity + + inference_params = MoonvalleyVideoToVideoInferenceParams( + negative_prompt=negative_prompt, + seed=seed, + control_params=control_params, + ) + + control = parse_control_parameter(control_type) + + request = MoonvalleyVideoToVideoRequest( + control_type=control, + video_url=video_url, + prompt_text=prompt, + inference_params=inference_params, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=API_VIDEO2VIDEO_ENDPOINT, + method=HttpMethod.POST, + request_model=MoonvalleyVideoToVideoRequest, + response_model=MoonvalleyPromptResponse, + ), + request=request, + auth_kwargs=auth, + ) + task_creation_response = await initial_operation.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.id + + final_response = await get_response( + task_id, auth_kwargs=auth, node_id=cls.hidden.unique_id + ) + + video = await download_url_to_video_output(final_response.output_url) + return comfy_io.NodeOutput(video) + + +class MoonvalleyTxt2VideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls) -> comfy_io.Schema: + return comfy_io.Schema( + node_id="MoonvalleyTxt2VideoNode", + display_name="Moonvalley Marey Text to Video", + category="api node/video/Moonvalley Marey", + description="", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default=" gopro, bright, contrast, static, overexposed, vignette, " + "artifacts, still, noise, texture, scanlines, videogame, 360 camera, VR, transition, " + "flare, saturation, distorted, warped, wide angle, saturated, vibrant, glowing, " + "cross dissolve, cheesy, ugly hands, mutated hands, mutant, disfigured, extra fingers, " + "blown out, horrible, blurry, worst quality, bad, dissolve, melt, fade in, fade out, " + "wobbly, weird, low quality, plastic, stock footage, video camera, boring", + tooltip="Negative prompt text", + ), + comfy_io.Combo.Input( + "resolution", + options=[ + "16:9 (1920 x 1080)", + "9:16 (1080 x 1920)", + "1:1 (1152 x 1152)", + "4:3 (1536 x 1152)", + "3:4 (1152 x 1536)", + "21:9 (2560 x 1080)", + ], + default="16:9 (1920 x 1080)", + tooltip="Resolution of the output video", + ), + comfy_io.Float.Input( + "prompt_adherence", + default=10.0, + min=1.0, + max=20.0, + step=1.0, + tooltip="Guidance scale for generation control", + ), + comfy_io.Int.Input( + "seed", + default=9, + min=0, + max=4294967295, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Random seed value", + ), + comfy_io.Int.Input( + "steps", + default=100, + min=1, + max=100, + step=1, + tooltip="Inference steps", + ), + ], + outputs=[comfy_io.Video.Output()], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + negative_prompt: str, + resolution: str, + prompt_adherence: float, + seed: int, + steps: int, + ) -> comfy_io.NodeOutput: + validate_prompts(prompt, negative_prompt, MOONVALLEY_MAREY_MAX_PROMPT_LENGTH) + width_height = parse_width_height_from_res(resolution) + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + inference_params = MoonvalleyTextToVideoInferenceParams( + negative_prompt=negative_prompt, + steps=steps, + seed=seed, + guidance_scale=prompt_adherence, + num_frames=128, + width=width_height["width"], + height=width_height["height"], + ) + request = MoonvalleyTextToVideoRequest( + prompt_text=prompt, inference_params=inference_params + ) + + init_op = SynchronousOperation( + endpoint=ApiEndpoint( + path=API_TXT2VIDEO_ENDPOINT, + method=HttpMethod.POST, + request_model=MoonvalleyTextToVideoRequest, + response_model=MoonvalleyPromptResponse, + ), + request=request, + auth_kwargs=auth, + ) + task_creation_response = await init_op.execute() + validate_task_creation_response(task_creation_response) + task_id = task_creation_response.id + + final_response = await get_response( + task_id, auth_kwargs=auth, node_id=cls.hidden.unique_id + ) + + video = await download_url_to_video_output(final_response.output_url) + return comfy_io.NodeOutput(video) + + +class MoonvalleyExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + MoonvalleyImg2VideoNode, + MoonvalleyTxt2VideoNode, + MoonvalleyVideo2VideoNode, + ] + + +async def comfy_entrypoint() -> MoonvalleyExtension: + return MoonvalleyExtension() diff --git a/comfy_api_nodes/nodes_openai.py b/comfy_api_nodes/nodes_openai.py new file mode 100644 index 0000000000000000000000000000000000000000..e3b81de7599e96bfb1c8828b2cff149bb699d116 --- /dev/null +++ b/comfy_api_nodes/nodes_openai.py @@ -0,0 +1,1004 @@ +import io +from typing import TypedDict, Optional +import json +import os +import time +import re +import uuid +from enum import Enum +from inspect import cleandoc +import numpy as np +import torch +from PIL import Image +from comfy.comfy_types.node_typing import IO, ComfyNodeABC, InputTypeDict +from server import PromptServer +import folder_paths + + +from comfy_api_nodes.apis import ( + OpenAIImageGenerationRequest, + OpenAIImageEditRequest, + OpenAIImageGenerationResponse, + OpenAICreateResponse, + OpenAIResponse, + CreateModelResponseProperties, + Item, + Includable, + OutputContent, + InputImageContent, + Detail, + InputTextContent, + InputMessage, + InputMessageContentList, + InputContent, + InputFileContent, +) + +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) + +from comfy_api_nodes.apinode_utils import ( + downscale_image_tensor, + validate_and_cast_response, + validate_string, + tensor_to_base64_string, + text_filepath_to_data_uri, +) +from comfy_api_nodes.mapper_utils import model_field_to_node_input + + +RESPONSES_ENDPOINT = "/proxy/openai/v1/responses" +STARTING_POINT_ID_PATTERN = r"" + + +class HistoryEntry(TypedDict): + """Type definition for a single history entry in the chat.""" + + prompt: str + response: str + response_id: str + timestamp: float + + +class ChatHistory(TypedDict): + """Type definition for the chat history dictionary.""" + + __annotations__: dict[str, list[HistoryEntry]] + + +class SupportedOpenAIModel(str, Enum): + o4_mini = "o4-mini" + o1 = "o1" + o3 = "o3" + o1_pro = "o1-pro" + gpt_4o = "gpt-4o" + gpt_4_1 = "gpt-4.1" + gpt_4_1_mini = "gpt-4.1-mini" + gpt_4_1_nano = "gpt-4.1-nano" + gpt_5 = "gpt-5" + gpt_5_mini = "gpt-5-mini" + gpt_5_nano = "gpt-5-nano" + + +class OpenAIDalle2(ComfyNodeABC): + """ + Generates images synchronously via OpenAI's DALL·E 2 endpoint. + """ + + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Text prompt for DALL·E", + }, + ), + }, + "optional": { + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2**31 - 1, + "step": 1, + "display": "number", + "control_after_generate": True, + "tooltip": "not implemented yet in backend", + }, + ), + "size": ( + IO.COMBO, + { + "options": ["256x256", "512x512", "1024x1024"], + "default": "1024x1024", + "tooltip": "Image size", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 8, + "step": 1, + "display": "number", + "tooltip": "How many images to generate", + }, + ), + "image": ( + IO.IMAGE, + { + "default": None, + "tooltip": "Optional reference image for image editing.", + }, + ), + "mask": ( + IO.MASK, + { + "default": None, + "tooltip": "Optional mask for inpainting (white areas will be replaced)", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + FUNCTION = "api_call" + CATEGORY = "api node/image/OpenAI" + DESCRIPTION = cleandoc(__doc__ or "") + API_NODE = True + + async def api_call( + self, + prompt, + seed=0, + image=None, + mask=None, + n=1, + size="1024x1024", + unique_id=None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False) + model = "dall-e-2" + path = "/proxy/openai/images/generations" + content_type = "application/json" + request_class = OpenAIImageGenerationRequest + img_binary = None + + if image is not None and mask is not None: + path = "/proxy/openai/images/edits" + content_type = "multipart/form-data" + request_class = OpenAIImageEditRequest + + input_tensor = image.squeeze().cpu() + height, width, channels = input_tensor.shape + rgba_tensor = torch.ones(height, width, 4, device="cpu") + rgba_tensor[:, :, :channels] = input_tensor + + if mask.shape[1:] != image.shape[1:-1]: + raise Exception("Mask and Image must be the same size") + rgba_tensor[:, :, 3] = 1 - mask.squeeze().cpu() + + rgba_tensor = downscale_image_tensor(rgba_tensor.unsqueeze(0)).squeeze() + + image_np = (rgba_tensor.numpy() * 255).astype(np.uint8) + img = Image.fromarray(image_np) + img_byte_arr = io.BytesIO() + img.save(img_byte_arr, format="PNG") + img_byte_arr.seek(0) + img_binary = img_byte_arr # .getvalue() + img_binary.name = "image.png" + elif image is not None or mask is not None: + raise Exception("Dall-E 2 image editing requires an image AND a mask") + + # Build the operation + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=request_class, + response_model=OpenAIImageGenerationResponse, + ), + request=request_class( + model=model, + prompt=prompt, + n=n, + size=size, + seed=seed, + ), + files=( + { + "image": img_binary, + } + if img_binary + else None + ), + content_type=content_type, + auth_kwargs=kwargs, + ) + + response = await operation.execute() + + img_tensor = await validate_and_cast_response(response, node_id=unique_id) + return (img_tensor,) + + +class OpenAIDalle3(ComfyNodeABC): + """ + Generates images synchronously via OpenAI's DALL·E 3 endpoint. + """ + + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Text prompt for DALL·E", + }, + ), + }, + "optional": { + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2**31 - 1, + "step": 1, + "display": "number", + "control_after_generate": True, + "tooltip": "not implemented yet in backend", + }, + ), + "quality": ( + IO.COMBO, + { + "options": ["standard", "hd"], + "default": "standard", + "tooltip": "Image quality", + }, + ), + "style": ( + IO.COMBO, + { + "options": ["natural", "vivid"], + "default": "natural", + "tooltip": "Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images.", + }, + ), + "size": ( + IO.COMBO, + { + "options": ["1024x1024", "1024x1792", "1792x1024"], + "default": "1024x1024", + "tooltip": "Image size", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + FUNCTION = "api_call" + CATEGORY = "api node/image/OpenAI" + DESCRIPTION = cleandoc(__doc__ or "") + API_NODE = True + + async def api_call( + self, + prompt, + seed=0, + style="natural", + quality="standard", + size="1024x1024", + unique_id=None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False) + model = "dall-e-3" + + # build the operation + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/openai/images/generations", + method=HttpMethod.POST, + request_model=OpenAIImageGenerationRequest, + response_model=OpenAIImageGenerationResponse, + ), + request=OpenAIImageGenerationRequest( + model=model, + prompt=prompt, + quality=quality, + size=size, + style=style, + seed=seed, + ), + auth_kwargs=kwargs, + ) + + response = await operation.execute() + + img_tensor = await validate_and_cast_response(response, node_id=unique_id) + return (img_tensor,) + + +class OpenAIGPTImage1(ComfyNodeABC): + """ + Generates images synchronously via OpenAI's GPT Image 1 endpoint. + """ + + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Text prompt for GPT Image 1", + }, + ), + }, + "optional": { + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2**31 - 1, + "step": 1, + "display": "number", + "control_after_generate": True, + "tooltip": "not implemented yet in backend", + }, + ), + "quality": ( + IO.COMBO, + { + "options": ["low", "medium", "high"], + "default": "low", + "tooltip": "Image quality, affects cost and generation time.", + }, + ), + "background": ( + IO.COMBO, + { + "options": ["opaque", "transparent"], + "default": "opaque", + "tooltip": "Return image with or without background", + }, + ), + "size": ( + IO.COMBO, + { + "options": ["auto", "1024x1024", "1024x1536", "1536x1024"], + "default": "auto", + "tooltip": "Image size", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 8, + "step": 1, + "display": "number", + "tooltip": "How many images to generate", + }, + ), + "image": ( + IO.IMAGE, + { + "default": None, + "tooltip": "Optional reference image for image editing.", + }, + ), + "mask": ( + IO.MASK, + { + "default": None, + "tooltip": "Optional mask for inpainting (white areas will be replaced)", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = (IO.IMAGE,) + FUNCTION = "api_call" + CATEGORY = "api node/image/OpenAI" + DESCRIPTION = cleandoc(__doc__ or "") + API_NODE = True + + async def api_call( + self, + prompt, + seed=0, + quality="low", + background="opaque", + image=None, + mask=None, + n=1, + size="1024x1024", + unique_id=None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False) + model = "gpt-image-1" + path = "/proxy/openai/images/generations" + content_type = "application/json" + request_class = OpenAIImageGenerationRequest + files = [] + + if image is not None: + path = "/proxy/openai/images/edits" + request_class = OpenAIImageEditRequest + content_type = "multipart/form-data" + + batch_size = image.shape[0] + + for i in range(batch_size): + single_image = image[i : i + 1] + scaled_image = downscale_image_tensor(single_image).squeeze() + + image_np = (scaled_image.numpy() * 255).astype(np.uint8) + img = Image.fromarray(image_np) + img_byte_arr = io.BytesIO() + img.save(img_byte_arr, format="PNG") + img_byte_arr.seek(0) + + if batch_size == 1: + files.append(("image", (f"image_{i}.png", img_byte_arr, "image/png"))) + else: + files.append(("image[]", (f"image_{i}.png", img_byte_arr, "image/png"))) + + if mask is not None: + if image is None: + raise Exception("Cannot use a mask without an input image") + if image.shape[0] != 1: + raise Exception("Cannot use a mask with multiple image") + if mask.shape[1:] != image.shape[1:-1]: + raise Exception("Mask and Image must be the same size") + batch, height, width = mask.shape + rgba_mask = torch.zeros(height, width, 4, device="cpu") + rgba_mask[:, :, 3] = 1 - mask.squeeze().cpu() + + scaled_mask = downscale_image_tensor(rgba_mask.unsqueeze(0)).squeeze() + + mask_np = (scaled_mask.numpy() * 255).astype(np.uint8) + mask_img = Image.fromarray(mask_np) + mask_img_byte_arr = io.BytesIO() + mask_img.save(mask_img_byte_arr, format="PNG") + mask_img_byte_arr.seek(0) + files.append(("mask", ("mask.png", mask_img_byte_arr, "image/png"))) + + # Build the operation + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=request_class, + response_model=OpenAIImageGenerationResponse, + ), + request=request_class( + model=model, + prompt=prompt, + quality=quality, + background=background, + n=n, + seed=seed, + size=size, + ), + files=files if files else None, + content_type=content_type, + auth_kwargs=kwargs, + ) + + response = await operation.execute() + + img_tensor = await validate_and_cast_response(response, node_id=unique_id) + return (img_tensor,) + + +class OpenAITextNode(ComfyNodeABC): + """ + Base class for OpenAI text generation nodes. + """ + + RETURN_TYPES = (IO.STRING,) + FUNCTION = "api_call" + CATEGORY = "api node/text/OpenAI" + API_NODE = True + + +class OpenAIChatNode(OpenAITextNode): + """ + Node to generate text responses from an OpenAI model. + """ + + def __init__(self) -> None: + """Initialize the chat node with a new session ID and empty history.""" + self.current_session_id: str = str(uuid.uuid4()) + self.history: dict[str, list[HistoryEntry]] = {} + self.previous_response_id: Optional[str] = None + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Text inputs to the model, used to generate a response.", + }, + ), + "persist_context": ( + IO.BOOLEAN, + { + "default": True, + "tooltip": "Persist chat context between calls (multi-turn conversation)", + }, + ), + "model": model_field_to_node_input( + IO.COMBO, + OpenAICreateResponse, + "model", + enum_type=SupportedOpenAIModel, + ), + }, + "optional": { + "images": ( + IO.IMAGE, + { + "default": None, + "tooltip": "Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node.", + }, + ), + "files": ( + "OPENAI_INPUT_FILES", + { + "default": None, + "tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node.", + }, + ), + "advanced_options": ( + "OPENAI_CHAT_CONFIG", + { + "default": None, + "tooltip": "Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Generate text responses from an OpenAI model." + + async def get_result_response( + self, + response_id: str, + include: Optional[list[Includable]] = None, + auth_kwargs: Optional[dict[str, str]] = None, + ) -> OpenAIResponse: + """ + Retrieve a model response with the given ID from the OpenAI API. + + Args: + response_id (str): The ID of the response to retrieve. + include (Optional[List[Includable]]): Additional fields to include + in the response. See the `include` parameter for Response + creation above for more information. + + """ + return await PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"{RESPONSES_ENDPOINT}/{response_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=OpenAIResponse, + query_params={"include": include}, + ), + completed_statuses=["completed"], + failed_statuses=["failed"], + status_extractor=lambda response: response.status, + auth_kwargs=auth_kwargs, + ).execute() + + def get_message_content_from_response( + self, response: OpenAIResponse + ) -> list[OutputContent]: + """Extract message content from the API response.""" + for output in response.output: + if output.root.type == "message": + return output.root.content + raise TypeError("No output message found in response") + + def get_text_from_message_content( + self, message_content: list[OutputContent] + ) -> str: + """Extract text content from message content.""" + for content_item in message_content: + if content_item.root.type == "output_text": + return str(content_item.root.text) + return "No text output found in response" + + def get_history_text(self, session_id: str) -> str: + """Convert the entire history for a given session to JSON string.""" + return json.dumps(self.history[session_id]) + + def display_history_on_node(self, session_id: str, node_id: str) -> None: + """Display formatted chat history on the node UI.""" + render_spec = { + "node_id": node_id, + "component": "ChatHistoryWidget", + "props": { + "history": self.get_history_text(session_id), + }, + } + PromptServer.instance.send_sync( + "display_component", + render_spec, + ) + + def add_to_history( + self, session_id: str, prompt: str, output_text: str, response_id: str + ) -> None: + """Add a new entry to the chat history.""" + if session_id not in self.history: + self.history[session_id] = [] + self.history[session_id].append( + { + "prompt": prompt, + "response": output_text, + "response_id": response_id, + "timestamp": time.time(), + } + ) + + def parse_output_text_from_response(self, response: OpenAIResponse) -> str: + """Extract text output from the API response.""" + message_contents = self.get_message_content_from_response(response) + return self.get_text_from_message_content(message_contents) + + def generate_new_session_id(self) -> str: + """Generate a new unique session ID.""" + return str(uuid.uuid4()) + + def get_session_id(self, persist_context: bool) -> str: + """Get the current or generate a new session ID based on context persistence.""" + return ( + self.current_session_id + if persist_context + else self.generate_new_session_id() + ) + + def tensor_to_input_image_content( + self, image: torch.Tensor, detail_level: Detail = "auto" + ) -> InputImageContent: + """Convert a tensor to an input image content object.""" + return InputImageContent( + detail=detail_level, + image_url=f"data:image/png;base64,{tensor_to_base64_string(image)}", + type="input_image", + ) + + def create_input_message_contents( + self, + prompt: str, + image: Optional[torch.Tensor] = None, + files: Optional[list[InputFileContent]] = None, + ) -> InputMessageContentList: + """Create a list of input message contents from prompt and optional image.""" + content_list: list[InputContent] = [ + InputTextContent(text=prompt, type="input_text"), + ] + if image is not None: + for i in range(image.shape[0]): + content_list.append( + self.tensor_to_input_image_content(image[i].unsqueeze(0)) + ) + if files is not None: + content_list.extend(files) + + return InputMessageContentList( + root=content_list, + ) + + def parse_response_id_from_prompt(self, prompt: str) -> Optional[str]: + """Extract response ID from prompt if it exists.""" + parsed_id = re.search(STARTING_POINT_ID_PATTERN, prompt) + return parsed_id.group(1) if parsed_id else None + + def strip_response_tag_from_prompt(self, prompt: str) -> str: + """Remove the response ID tag from the prompt.""" + return re.sub(STARTING_POINT_ID_PATTERN, "", prompt.strip()) + + def delete_history_after_response_id( + self, new_start_id: str, session_id: str + ) -> None: + """Delete history entries after a specific response ID.""" + if session_id not in self.history: + return + + new_history = [] + i = 0 + while ( + i < len(self.history[session_id]) + and self.history[session_id][i]["response_id"] != new_start_id + ): + new_history.append(self.history[session_id][i]) + i += 1 + + # Since it's the new starting point (not the response being edited), we include it as well + if i < len(self.history[session_id]): + new_history.append(self.history[session_id][i]) + + self.history[session_id] = new_history + + async def api_call( + self, + prompt: str, + persist_context: bool, + model: SupportedOpenAIModel, + unique_id: Optional[str] = None, + images: Optional[torch.Tensor] = None, + files: Optional[list[InputFileContent]] = None, + advanced_options: Optional[CreateModelResponseProperties] = None, + **kwargs, + ) -> tuple[str]: + # Validate inputs + validate_string(prompt, strip_whitespace=False) + + session_id = self.get_session_id(persist_context) + response_id_override = self.parse_response_id_from_prompt(prompt) + if response_id_override: + is_starting_from_beginning = response_id_override == "start" + if is_starting_from_beginning: + self.history[session_id] = [] + previous_response_id = None + else: + previous_response_id = response_id_override + self.delete_history_after_response_id(response_id_override, session_id) + prompt = self.strip_response_tag_from_prompt(prompt) + elif persist_context: + previous_response_id = self.previous_response_id + else: + previous_response_id = None + + # Create response + create_response = await SynchronousOperation( + endpoint=ApiEndpoint( + path=RESPONSES_ENDPOINT, + method=HttpMethod.POST, + request_model=OpenAICreateResponse, + response_model=OpenAIResponse, + ), + request=OpenAICreateResponse( + input=[ + Item( + root=InputMessage( + content=self.create_input_message_contents( + prompt, images, files + ), + role="user", + ) + ), + ], + store=True, + stream=False, + model=model, + previous_response_id=previous_response_id, + **( + advanced_options.model_dump(exclude_none=True) + if advanced_options + else {} + ), + ), + auth_kwargs=kwargs, + ).execute() + response_id = create_response.id + + # Get result output + result_response = await self.get_result_response(response_id, auth_kwargs=kwargs) + output_text = self.parse_output_text_from_response(result_response) + + # Update history + self.add_to_history(session_id, prompt, output_text, response_id) + self.display_history_on_node(session_id, unique_id) + self.previous_response_id = response_id + + return (output_text,) + + +class OpenAIInputFiles(ComfyNodeABC): + """ + Loads and formats input files for OpenAI API. + """ + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + """ + For details about the supported file input types, see: + https://platform.openai.com/docs/guides/pdf-files?api-mode=responses + """ + input_dir = folder_paths.get_input_directory() + input_files = [ + f + for f in os.scandir(input_dir) + if f.is_file() + and (f.name.endswith(".txt") or f.name.endswith(".pdf")) + and f.stat().st_size < 32 * 1024 * 1024 + ] + input_files = sorted(input_files, key=lambda x: x.name) + input_files = [f.name for f in input_files] + return { + "required": { + "file": ( + IO.COMBO, + { + "tooltip": "Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now.", + "options": input_files, + "default": input_files[0] if input_files else None, + }, + ), + }, + "optional": { + "OPENAI_INPUT_FILES": ( + "OPENAI_INPUT_FILES", + { + "tooltip": "An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files.", + "default": None, + }, + ), + }, + } + + DESCRIPTION = "Loads and prepares input files (text, pdf, etc.) to include as inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating a response. 🛈 TIP: Can be chained together with other OpenAI Input File nodes." + RETURN_TYPES = ("OPENAI_INPUT_FILES",) + FUNCTION = "prepare_files" + CATEGORY = "api node/text/OpenAI" + + def create_input_file_content(self, file_path: str) -> InputFileContent: + return InputFileContent( + file_data=text_filepath_to_data_uri(file_path), + filename=os.path.basename(file_path), + type="input_file", + ) + + def prepare_files( + self, file: str, OPENAI_INPUT_FILES: list[InputFileContent] = [] + ) -> tuple[list[InputFileContent]]: + """ + Loads and formats input files for OpenAI API. + """ + file_path = folder_paths.get_annotated_filepath(file) + input_file_content = self.create_input_file_content(file_path) + files = [input_file_content] + OPENAI_INPUT_FILES + return (files,) + + +class OpenAIChatConfig(ComfyNodeABC): + """Allows setting additional configuration for the OpenAI Chat Node.""" + + RETURN_TYPES = ("OPENAI_CHAT_CONFIG",) + FUNCTION = "configure" + DESCRIPTION = ( + "Allows specifying advanced configuration options for the OpenAI Chat Nodes." + ) + CATEGORY = "api node/text/OpenAI" + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "truncation": ( + IO.COMBO, + { + "options": ["auto", "disabled"], + "default": "auto", + "tooltip": "The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation.disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error", + }, + ), + }, + "optional": { + "max_output_tokens": model_field_to_node_input( + IO.INT, + OpenAICreateResponse, + "max_output_tokens", + min=16, + default=4096, + max=16384, + tooltip="An upper bound for the number of tokens that can be generated for a response, including visible output tokens", + ), + "instructions": model_field_to_node_input( + IO.STRING, OpenAICreateResponse, "instructions", multiline=True + ), + }, + } + + def configure( + self, + truncation: bool, + instructions: Optional[str] = None, + max_output_tokens: Optional[int] = None, + ) -> tuple[CreateModelResponseProperties]: + """ + Configure advanced options for the OpenAI Chat Node. + + Note: + While `top_p` and `temperature` are listed as properties in the + spec, they are not supported for all models (e.g., o4-mini). + They are not exposed as inputs at all to avoid having to manually + remove depending on model choice. + """ + return ( + CreateModelResponseProperties( + instructions=instructions, + truncation=truncation, + max_output_tokens=max_output_tokens, + ), + ) + + +NODE_CLASS_MAPPINGS = { + "OpenAIDalle2": OpenAIDalle2, + "OpenAIDalle3": OpenAIDalle3, + "OpenAIGPTImage1": OpenAIGPTImage1, + "OpenAIChatNode": OpenAIChatNode, + "OpenAIInputFiles": OpenAIInputFiles, + "OpenAIChatConfig": OpenAIChatConfig, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "OpenAIDalle2": "OpenAI DALL·E 2", + "OpenAIDalle3": "OpenAI DALL·E 3", + "OpenAIGPTImage1": "OpenAI GPT Image 1", + "OpenAIChatNode": "OpenAI ChatGPT", + "OpenAIInputFiles": "OpenAI ChatGPT Input Files", + "OpenAIChatConfig": "OpenAI ChatGPT Advanced Options", +} diff --git a/comfy_api_nodes/nodes_pika.py b/comfy_api_nodes/nodes_pika.py new file mode 100644 index 0000000000000000000000000000000000000000..a8dc43cb3ba2dcb0346696a533601d7edf6a0bd6 --- /dev/null +++ b/comfy_api_nodes/nodes_pika.py @@ -0,0 +1,779 @@ +""" +Pika x ComfyUI API Nodes + +Pika API docs: https://pika-827374fb.mintlify.app/api-reference +""" +from __future__ import annotations + +import io +import logging +from typing import Optional, TypeVar + +import numpy as np +import torch + +from comfy.comfy_types.node_typing import IO, ComfyNodeABC, InputTypeOptions +from comfy_api.input_impl import VideoFromFile +from comfy_api.input_impl.video_types import VideoCodec, VideoContainer, VideoInput +from comfy_api_nodes.apinode_utils import ( + download_url_to_video_output, + tensor_to_bytesio, +) +from comfy_api_nodes.apis import ( + IngredientsMode, + PikaBodyGenerate22C2vGenerate22PikascenesPost, + PikaBodyGenerate22I2vGenerate22I2vPost, + PikaBodyGenerate22KeyframeGenerate22PikaframesPost, + PikaBodyGenerate22T2vGenerate22T2vPost, + PikaBodyGeneratePikadditionsGeneratePikadditionsPost, + PikaBodyGeneratePikaffectsGeneratePikaffectsPost, + PikaBodyGeneratePikaswapsGeneratePikaswapsPost, + PikaDurationEnum, + Pikaffect, + PikaGenerateResponse, + PikaResolutionEnum, + PikaVideoResponse, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + EmptyRequest, + HttpMethod, + PollingOperation, + SynchronousOperation, +) +from comfy_api_nodes.mapper_utils import model_field_to_node_input + +R = TypeVar("R") + +PATH_PIKADDITIONS = "/proxy/pika/generate/pikadditions" +PATH_PIKASWAPS = "/proxy/pika/generate/pikaswaps" +PATH_PIKAFFECTS = "/proxy/pika/generate/pikaffects" + +PIKA_API_VERSION = "2.2" +PATH_TEXT_TO_VIDEO = f"/proxy/pika/generate/{PIKA_API_VERSION}/t2v" +PATH_IMAGE_TO_VIDEO = f"/proxy/pika/generate/{PIKA_API_VERSION}/i2v" +PATH_PIKAFRAMES = f"/proxy/pika/generate/{PIKA_API_VERSION}/pikaframes" +PATH_PIKASCENES = f"/proxy/pika/generate/{PIKA_API_VERSION}/pikascenes" + +PATH_VIDEO_GET = "/proxy/pika/videos" + + +class PikaApiError(Exception): + """Exception for Pika API errors.""" + + pass + + +def is_valid_video_response(response: PikaVideoResponse) -> bool: + """Check if the video response is valid.""" + return hasattr(response, "url") and response.url is not None + + +def is_valid_initial_response(response: PikaGenerateResponse) -> bool: + """Check if the initial response is valid.""" + return hasattr(response, "video_id") and response.video_id is not None + + +class PikaNodeBase(ComfyNodeABC): + """Base class for Pika nodes.""" + + @classmethod + def get_base_inputs_types( + cls, request_model + ) -> dict[str, tuple[IO, InputTypeOptions]]: + """Get the base required inputs types common to all Pika nodes.""" + return { + "prompt_text": model_field_to_node_input( + IO.STRING, + request_model, + "promptText", + multiline=True, + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + request_model, + "negativePrompt", + multiline=True, + ), + "seed": model_field_to_node_input( + IO.INT, + request_model, + "seed", + min=0, + max=0xFFFFFFFF, + control_after_generate=True, + ), + "resolution": model_field_to_node_input( + IO.COMBO, + request_model, + "resolution", + enum_type=PikaResolutionEnum, + ), + "duration": model_field_to_node_input( + IO.COMBO, + request_model, + "duration", + enum_type=PikaDurationEnum, + ), + } + + CATEGORY = "api node/video/Pika" + API_NODE = True + FUNCTION = "api_call" + RETURN_TYPES = ("VIDEO",) + + async def poll_for_task_status( + self, + task_id: str, + auth_kwargs: Optional[dict[str, str]] = None, + node_id: Optional[str] = None, + ) -> PikaGenerateResponse: + polling_operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"{PATH_VIDEO_GET}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=PikaVideoResponse, + ), + completed_statuses=[ + "finished", + ], + failed_statuses=["failed", "cancelled"], + status_extractor=lambda response: ( + response.status.value if response.status else None + ), + progress_extractor=lambda response: ( + response.progress if hasattr(response, "progress") else None + ), + auth_kwargs=auth_kwargs, + result_url_extractor=lambda response: ( + response.url if hasattr(response, "url") else None + ), + node_id=node_id, + estimated_duration=60 + ) + return await polling_operation.execute() + + async def execute_task( + self, + initial_operation: SynchronousOperation[R, PikaGenerateResponse], + auth_kwargs: Optional[dict[str, str]] = None, + node_id: Optional[str] = None, + ) -> tuple[VideoFromFile]: + """Executes the initial operation then polls for the task status until it is completed. + + Args: + initial_operation: The initial operation to execute. + auth_kwargs: The authentication token(s) to use for the API call. + + Returns: + A tuple containing the video file as a VIDEO output. + """ + initial_response = await initial_operation.execute() + if not is_valid_initial_response(initial_response): + error_msg = f"Pika initial request failed. Code: {initial_response.code}, Message: {initial_response.message}, Data: {initial_response.data}" + logging.error(error_msg) + raise PikaApiError(error_msg) + + task_id = initial_response.video_id + final_response = await self.poll_for_task_status(task_id, auth_kwargs) + if not is_valid_video_response(final_response): + error_msg = ( + f"Pika task {task_id} succeeded but no video data found in response." + ) + logging.error(error_msg) + raise PikaApiError(error_msg) + + video_url = str(final_response.url) + logging.info("Pika task %s succeeded. Video URL: %s", task_id, video_url) + + return (await download_url_to_video_output(video_url),) + + +class PikaImageToVideoV2_2(PikaNodeBase): + """Pika 2.2 Image to Video Node.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ( + IO.IMAGE, + {"tooltip": "The image to convert to video"}, + ), + **cls.get_base_inputs_types(PikaBodyGenerate22I2vGenerate22I2vPost), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Sends an image and prompt to the Pika API v2.2 to generate a video." + + async def api_call( + self, + image: torch.Tensor, + prompt_text: str, + negative_prompt: str, + seed: int, + resolution: str, + duration: int, + unique_id: str, + **kwargs, + ) -> tuple[VideoFromFile]: + # Convert image to BytesIO + image_bytes_io = tensor_to_bytesio(image) + image_bytes_io.seek(0) + + pika_files = {"image": ("image.png", image_bytes_io, "image/png")} + + # Prepare non-file data + pika_request_data = PikaBodyGenerate22I2vGenerate22I2vPost( + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + resolution=resolution, + duration=duration, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_IMAGE_TO_VIDEO, + method=HttpMethod.POST, + request_model=PikaBodyGenerate22I2vGenerate22I2vPost, + response_model=PikaGenerateResponse, + ), + request=pika_request_data, + files=pika_files, + content_type="multipart/form-data", + auth_kwargs=kwargs, + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +class PikaTextToVideoNodeV2_2(PikaNodeBase): + """Pika Text2Video v2.2 Node.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + **cls.get_base_inputs_types(PikaBodyGenerate22T2vGenerate22T2vPost), + "aspect_ratio": model_field_to_node_input( + IO.FLOAT, + PikaBodyGenerate22T2vGenerate22T2vPost, + "aspectRatio", + step=0.001, + min=0.4, + max=2.5, + default=1.7777777777777777, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Sends a text prompt to the Pika API v2.2 to generate a video." + + async def api_call( + self, + prompt_text: str, + negative_prompt: str, + seed: int, + resolution: str, + duration: int, + aspect_ratio: float, + unique_id: str, + **kwargs, + ) -> tuple[VideoFromFile]: + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_TEXT_TO_VIDEO, + method=HttpMethod.POST, + request_model=PikaBodyGenerate22T2vGenerate22T2vPost, + response_model=PikaGenerateResponse, + ), + request=PikaBodyGenerate22T2vGenerate22T2vPost( + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + resolution=resolution, + duration=duration, + aspectRatio=aspect_ratio, + ), + auth_kwargs=kwargs, + content_type="application/x-www-form-urlencoded", + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +class PikaScenesV2_2(PikaNodeBase): + """PikaScenes v2.2 Node.""" + + @classmethod + def INPUT_TYPES(cls): + image_ingredient_input = ( + IO.IMAGE, + {"tooltip": "Image that will be used as ingredient to create a video."}, + ) + return { + "required": { + **cls.get_base_inputs_types( + PikaBodyGenerate22C2vGenerate22PikascenesPost, + ), + "ingredients_mode": model_field_to_node_input( + IO.COMBO, + PikaBodyGenerate22C2vGenerate22PikascenesPost, + "ingredientsMode", + enum_type=IngredientsMode, + default="creative", + ), + "aspect_ratio": model_field_to_node_input( + IO.FLOAT, + PikaBodyGenerate22C2vGenerate22PikascenesPost, + "aspectRatio", + step=0.001, + min=0.4, + max=2.5, + default=1.7777777777777777, + ), + }, + "optional": { + "image_ingredient_1": image_ingredient_input, + "image_ingredient_2": image_ingredient_input, + "image_ingredient_3": image_ingredient_input, + "image_ingredient_4": image_ingredient_input, + "image_ingredient_5": image_ingredient_input, + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Combine your images to create a video with the objects in them. Upload multiple images as ingredients and generate a high-quality video that incorporates all of them." + + async def api_call( + self, + prompt_text: str, + negative_prompt: str, + seed: int, + resolution: str, + duration: int, + ingredients_mode: str, + aspect_ratio: float, + unique_id: str, + image_ingredient_1: Optional[torch.Tensor] = None, + image_ingredient_2: Optional[torch.Tensor] = None, + image_ingredient_3: Optional[torch.Tensor] = None, + image_ingredient_4: Optional[torch.Tensor] = None, + image_ingredient_5: Optional[torch.Tensor] = None, + **kwargs, + ) -> tuple[VideoFromFile]: + # Convert all passed images to BytesIO + all_image_bytes_io = [] + for image in [ + image_ingredient_1, + image_ingredient_2, + image_ingredient_3, + image_ingredient_4, + image_ingredient_5, + ]: + if image is not None: + image_bytes_io = tensor_to_bytesio(image) + image_bytes_io.seek(0) + all_image_bytes_io.append(image_bytes_io) + + pika_files = [ + ("images", (f"image_{i}.png", image_bytes_io, "image/png")) + for i, image_bytes_io in enumerate(all_image_bytes_io) + ] + + pika_request_data = PikaBodyGenerate22C2vGenerate22PikascenesPost( + ingredientsMode=ingredients_mode, + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + resolution=resolution, + duration=duration, + aspectRatio=aspect_ratio, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_PIKASCENES, + method=HttpMethod.POST, + request_model=PikaBodyGenerate22C2vGenerate22PikascenesPost, + response_model=PikaGenerateResponse, + ), + request=pika_request_data, + files=pika_files, + content_type="multipart/form-data", + auth_kwargs=kwargs, + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +class PikAdditionsNode(PikaNodeBase): + """Pika Pikadditions Node. Add an image into a video.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "video": (IO.VIDEO, {"tooltip": "The video to add an image to."}), + "image": (IO.IMAGE, {"tooltip": "The image to add to the video."}), + "prompt_text": model_field_to_node_input( + IO.STRING, + PikaBodyGeneratePikadditionsGeneratePikadditionsPost, + "promptText", + multiline=True, + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + PikaBodyGeneratePikadditionsGeneratePikadditionsPost, + "negativePrompt", + multiline=True, + ), + "seed": model_field_to_node_input( + IO.INT, + PikaBodyGeneratePikadditionsGeneratePikadditionsPost, + "seed", + min=0, + max=0xFFFFFFFF, + control_after_generate=True, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Add any object or image into your video. Upload a video and specify what you'd like to add to create a seamlessly integrated result." + + async def api_call( + self, + video: VideoInput, + image: torch.Tensor, + prompt_text: str, + negative_prompt: str, + seed: int, + unique_id: str, + **kwargs, + ) -> tuple[VideoFromFile]: + # Convert video to BytesIO + video_bytes_io = io.BytesIO() + video.save_to(video_bytes_io, format=VideoContainer.MP4, codec=VideoCodec.H264) + video_bytes_io.seek(0) + + # Convert image to BytesIO + image_bytes_io = tensor_to_bytesio(image) + image_bytes_io.seek(0) + + pika_files = { + "video": ("video.mp4", video_bytes_io, "video/mp4"), + "image": ("image.png", image_bytes_io, "image/png"), + } + + # Prepare non-file data + pika_request_data = PikaBodyGeneratePikadditionsGeneratePikadditionsPost( + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_PIKADDITIONS, + method=HttpMethod.POST, + request_model=PikaBodyGeneratePikadditionsGeneratePikadditionsPost, + response_model=PikaGenerateResponse, + ), + request=pika_request_data, + files=pika_files, + content_type="multipart/form-data", + auth_kwargs=kwargs, + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +class PikaSwapsNode(PikaNodeBase): + """Pika Pikaswaps Node.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "video": (IO.VIDEO, {"tooltip": "The video to swap an object in."}), + "image": ( + IO.IMAGE, + { + "tooltip": "The image used to replace the masked object in the video." + }, + ), + "mask": ( + IO.MASK, + {"tooltip": "Use the mask to define areas in the video to replace"}, + ), + "prompt_text": model_field_to_node_input( + IO.STRING, + PikaBodyGeneratePikaswapsGeneratePikaswapsPost, + "promptText", + multiline=True, + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + PikaBodyGeneratePikaswapsGeneratePikaswapsPost, + "negativePrompt", + multiline=True, + ), + "seed": model_field_to_node_input( + IO.INT, + PikaBodyGeneratePikaswapsGeneratePikaswapsPost, + "seed", + min=0, + max=0xFFFFFFFF, + control_after_generate=True, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Swap out any object or region of your video with a new image or object. Define areas to replace either with a mask or coordinates." + RETURN_TYPES = ("VIDEO",) + + async def api_call( + self, + video: VideoInput, + image: torch.Tensor, + mask: torch.Tensor, + prompt_text: str, + negative_prompt: str, + seed: int, + unique_id: str, + **kwargs, + ) -> tuple[VideoFromFile]: + # Convert video to BytesIO + video_bytes_io = io.BytesIO() + video.save_to(video_bytes_io, format=VideoContainer.MP4, codec=VideoCodec.H264) + video_bytes_io.seek(0) + + # Convert mask to binary mask with three channels + mask = torch.round(mask) + mask = mask.repeat(1, 3, 1, 1) + + # Convert 3-channel binary mask to BytesIO + mask_bytes_io = io.BytesIO() + mask_bytes_io.write(mask.numpy().astype(np.uint8)) + mask_bytes_io.seek(0) + + # Convert image to BytesIO + image_bytes_io = tensor_to_bytesio(image) + image_bytes_io.seek(0) + + pika_files = { + "video": ("video.mp4", video_bytes_io, "video/mp4"), + "image": ("image.png", image_bytes_io, "image/png"), + "modifyRegionMask": ("mask.png", mask_bytes_io, "image/png"), + } + + # Prepare non-file data + pika_request_data = PikaBodyGeneratePikaswapsGeneratePikaswapsPost( + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_PIKADDITIONS, + method=HttpMethod.POST, + request_model=PikaBodyGeneratePikadditionsGeneratePikadditionsPost, + response_model=PikaGenerateResponse, + ), + request=pika_request_data, + files=pika_files, + content_type="multipart/form-data", + auth_kwargs=kwargs, + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +class PikaffectsNode(PikaNodeBase): + """Pika Pikaffects Node.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ( + IO.IMAGE, + {"tooltip": "The reference image to apply the Pikaffect to."}, + ), + "pikaffect": model_field_to_node_input( + IO.COMBO, + PikaBodyGeneratePikaffectsGeneratePikaffectsPost, + "pikaffect", + enum_type=Pikaffect, + default="Cake-ify", + ), + "prompt_text": model_field_to_node_input( + IO.STRING, + PikaBodyGeneratePikaffectsGeneratePikaffectsPost, + "promptText", + multiline=True, + ), + "negative_prompt": model_field_to_node_input( + IO.STRING, + PikaBodyGeneratePikaffectsGeneratePikaffectsPost, + "negativePrompt", + multiline=True, + ), + "seed": model_field_to_node_input( + IO.INT, + PikaBodyGeneratePikaffectsGeneratePikaffectsPost, + "seed", + min=0, + max=0xFFFFFFFF, + control_after_generate=True, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Generate a video with a specific Pikaffect. Supported Pikaffects: Cake-ify, Crumble, Crush, Decapitate, Deflate, Dissolve, Explode, Eye-pop, Inflate, Levitate, Melt, Peel, Poke, Squish, Ta-da, Tear" + + async def api_call( + self, + image: torch.Tensor, + pikaffect: str, + prompt_text: str, + negative_prompt: str, + seed: int, + unique_id: str, + **kwargs, + ) -> tuple[VideoFromFile]: + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_PIKAFFECTS, + method=HttpMethod.POST, + request_model=PikaBodyGeneratePikaffectsGeneratePikaffectsPost, + response_model=PikaGenerateResponse, + ), + request=PikaBodyGeneratePikaffectsGeneratePikaffectsPost( + pikaffect=pikaffect, + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + ), + files={"image": ("image.png", tensor_to_bytesio(image), "image/png")}, + content_type="multipart/form-data", + auth_kwargs=kwargs, + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +class PikaStartEndFrameNode2_2(PikaNodeBase): + """PikaFrames v2.2 Node.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_start": (IO.IMAGE, {"tooltip": "The first image to combine."}), + "image_end": (IO.IMAGE, {"tooltip": "The last image to combine."}), + **cls.get_base_inputs_types( + PikaBodyGenerate22KeyframeGenerate22PikaframesPost + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Generate a video by combining your first and last frame. Upload two images to define the start and end points, and let the AI create a smooth transition between them." + + async def api_call( + self, + image_start: torch.Tensor, + image_end: torch.Tensor, + prompt_text: str, + negative_prompt: str, + seed: int, + resolution: str, + duration: int, + unique_id: str, + **kwargs, + ) -> tuple[VideoFromFile]: + + pika_files = [ + ("keyFrames", ("image_start.png", tensor_to_bytesio(image_start), "image/png")), + ("keyFrames", ("image_end.png", tensor_to_bytesio(image_end), "image/png")), + ] + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_PIKAFRAMES, + method=HttpMethod.POST, + request_model=PikaBodyGenerate22KeyframeGenerate22PikaframesPost, + response_model=PikaGenerateResponse, + ), + request=PikaBodyGenerate22KeyframeGenerate22PikaframesPost( + promptText=prompt_text, + negativePrompt=negative_prompt, + seed=seed, + resolution=resolution, + duration=duration, + ), + files=pika_files, + content_type="multipart/form-data", + auth_kwargs=kwargs, + ) + + return await self.execute_task(initial_operation, auth_kwargs=kwargs, node_id=unique_id) + + +NODE_CLASS_MAPPINGS = { + "PikaImageToVideoNode2_2": PikaImageToVideoV2_2, + "PikaTextToVideoNode2_2": PikaTextToVideoNodeV2_2, + "PikaScenesV2_2": PikaScenesV2_2, + "Pikadditions": PikAdditionsNode, + "Pikaswaps": PikaSwapsNode, + "Pikaffects": PikaffectsNode, + "PikaStartEndFrameNode2_2": PikaStartEndFrameNode2_2, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "PikaImageToVideoNode2_2": "Pika Image to Video", + "PikaTextToVideoNode2_2": "Pika Text to Video", + "PikaScenesV2_2": "Pika Scenes (Video Image Composition)", + "Pikadditions": "Pikadditions (Video Object Insertion)", + "Pikaswaps": "Pika Swaps (Video Object Replacement)", + "Pikaffects": "Pikaffects (Video Effects)", + "PikaStartEndFrameNode2_2": "Pika Start and End Frame to Video", +} diff --git a/comfy_api_nodes/nodes_pixverse.py b/comfy_api_nodes/nodes_pixverse.py new file mode 100644 index 0000000000000000000000000000000000000000..7c5a52feb42cde96e9c256f581a5715d1d11ea24 --- /dev/null +++ b/comfy_api_nodes/nodes_pixverse.py @@ -0,0 +1,527 @@ +from inspect import cleandoc +from typing import Optional +from comfy_api_nodes.apis.pixverse_api import ( + PixverseTextVideoRequest, + PixverseImageVideoRequest, + PixverseTransitionVideoRequest, + PixverseImageUploadResponse, + PixverseVideoResponse, + PixverseGenerationStatusResponse, + PixverseAspectRatio, + PixverseQuality, + PixverseDuration, + PixverseMotionMode, + PixverseStatus, + PixverseIO, + pixverse_templates, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + tensor_to_bytesio, + validate_string, +) +from comfy.comfy_types.node_typing import IO, ComfyNodeABC +from comfy_api.input_impl import VideoFromFile + +import torch +import aiohttp +from io import BytesIO + + +AVERAGE_DURATION_T2V = 32 +AVERAGE_DURATION_I2V = 30 +AVERAGE_DURATION_T2T = 52 + + +def get_video_url_from_response( + response: PixverseGenerationStatusResponse, +) -> Optional[str]: + if response.Resp is None or response.Resp.url is None: + return None + return str(response.Resp.url) + + +async def upload_image_to_pixverse(image: torch.Tensor, auth_kwargs=None): + # first, upload image to Pixverse and get image id to use in actual generation call + files = {"image": tensor_to_bytesio(image)} + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/pixverse/image/upload", + method=HttpMethod.POST, + request_model=EmptyRequest, + response_model=PixverseImageUploadResponse, + ), + request=EmptyRequest(), + files=files, + content_type="multipart/form-data", + auth_kwargs=auth_kwargs, + ) + response_upload: PixverseImageUploadResponse = await operation.execute() + + if response_upload.Resp is None: + raise Exception( + f"PixVerse image upload request failed: '{response_upload.ErrMsg}'" + ) + + return response_upload.Resp.img_id + + +class PixverseTemplateNode: + """ + Select template for PixVerse Video generation. + """ + + RETURN_TYPES = (PixverseIO.TEMPLATE,) + RETURN_NAMES = ("pixverse_template",) + FUNCTION = "create_template" + CATEGORY = "api node/video/PixVerse" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "template": (list(pixverse_templates.keys()),), + } + } + + def create_template(self, template: str): + template_id = pixverse_templates.get(template, None) + if template_id is None: + raise Exception(f"Template '{template}' is not recognized.") + # just return the integer + return (template_id,) + + +class PixverseTextToVideoNode(ComfyNodeABC): + """ + Generates videos based on prompt and output_size. + """ + + RETURN_TYPES = (IO.VIDEO,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/video/PixVerse" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the video generation", + }, + ), + "aspect_ratio": ([ratio.value for ratio in PixverseAspectRatio],), + "quality": ( + [resolution.value for resolution in PixverseQuality], + { + "default": PixverseQuality.res_540p, + }, + ), + "duration_seconds": ([dur.value for dur in PixverseDuration],), + "motion_mode": ([mode.value for mode in PixverseMotionMode],), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2147483647, + "control_after_generate": True, + "tooltip": "Seed for video generation.", + }, + ), + }, + "optional": { + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + "pixverse_template": ( + PixverseIO.TEMPLATE, + { + "tooltip": "An optional template to influence style of generation, created by the PixVerse Template node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + aspect_ratio: str, + quality: str, + duration_seconds: int, + motion_mode: str, + seed, + negative_prompt: str = None, + pixverse_template: int = None, + unique_id: Optional[str] = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False) + # 1080p is limited to 5 seconds duration + # only normal motion_mode supported for 1080p or for non-5 second duration + if quality == PixverseQuality.res_1080p: + motion_mode = PixverseMotionMode.normal + duration_seconds = PixverseDuration.dur_5 + elif duration_seconds != PixverseDuration.dur_5: + motion_mode = PixverseMotionMode.normal + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/pixverse/video/text/generate", + method=HttpMethod.POST, + request_model=PixverseTextVideoRequest, + response_model=PixverseVideoResponse, + ), + request=PixverseTextVideoRequest( + prompt=prompt, + aspect_ratio=aspect_ratio, + quality=quality, + duration=duration_seconds, + motion_mode=motion_mode, + negative_prompt=negative_prompt if negative_prompt else None, + template_id=pixverse_template, + seed=seed, + ), + auth_kwargs=kwargs, + ) + response_api = await operation.execute() + + if response_api.Resp is None: + raise Exception(f"PixVerse request failed: '{response_api.ErrMsg}'") + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/pixverse/video/result/{response_api.Resp.video_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=PixverseGenerationStatusResponse, + ), + completed_statuses=[PixverseStatus.successful], + failed_statuses=[ + PixverseStatus.contents_moderation, + PixverseStatus.failed, + PixverseStatus.deleted, + ], + status_extractor=lambda x: x.Resp.status, + auth_kwargs=kwargs, + node_id=unique_id, + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_T2V, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.Resp.url) as vid_response: + return (VideoFromFile(BytesIO(await vid_response.content.read())),) + + +class PixverseImageToVideoNode(ComfyNodeABC): + """ + Generates videos based on prompt and output_size. + """ + + RETURN_TYPES = (IO.VIDEO,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/video/PixVerse" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the video generation", + }, + ), + "quality": ( + [resolution.value for resolution in PixverseQuality], + { + "default": PixverseQuality.res_540p, + }, + ), + "duration_seconds": ([dur.value for dur in PixverseDuration],), + "motion_mode": ([mode.value for mode in PixverseMotionMode],), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2147483647, + "control_after_generate": True, + "tooltip": "Seed for video generation.", + }, + ), + }, + "optional": { + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + "pixverse_template": ( + PixverseIO.TEMPLATE, + { + "tooltip": "An optional template to influence style of generation, created by the PixVerse Template node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + image: torch.Tensor, + prompt: str, + quality: str, + duration_seconds: int, + motion_mode: str, + seed, + negative_prompt: str = None, + pixverse_template: int = None, + unique_id: Optional[str] = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False) + img_id = await upload_image_to_pixverse(image, auth_kwargs=kwargs) + + # 1080p is limited to 5 seconds duration + # only normal motion_mode supported for 1080p or for non-5 second duration + if quality == PixverseQuality.res_1080p: + motion_mode = PixverseMotionMode.normal + duration_seconds = PixverseDuration.dur_5 + elif duration_seconds != PixverseDuration.dur_5: + motion_mode = PixverseMotionMode.normal + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/pixverse/video/img/generate", + method=HttpMethod.POST, + request_model=PixverseImageVideoRequest, + response_model=PixverseVideoResponse, + ), + request=PixverseImageVideoRequest( + img_id=img_id, + prompt=prompt, + quality=quality, + duration=duration_seconds, + motion_mode=motion_mode, + negative_prompt=negative_prompt if negative_prompt else None, + template_id=pixverse_template, + seed=seed, + ), + auth_kwargs=kwargs, + ) + response_api = await operation.execute() + + if response_api.Resp is None: + raise Exception(f"PixVerse request failed: '{response_api.ErrMsg}'") + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/pixverse/video/result/{response_api.Resp.video_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=PixverseGenerationStatusResponse, + ), + completed_statuses=[PixverseStatus.successful], + failed_statuses=[ + PixverseStatus.contents_moderation, + PixverseStatus.failed, + PixverseStatus.deleted, + ], + status_extractor=lambda x: x.Resp.status, + auth_kwargs=kwargs, + node_id=unique_id, + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_I2V, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.Resp.url) as vid_response: + return (VideoFromFile(BytesIO(await vid_response.content.read())),) + + +class PixverseTransitionVideoNode(ComfyNodeABC): + """ + Generates videos based on prompt and output_size. + """ + + RETURN_TYPES = (IO.VIDEO,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/video/PixVerse" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "first_frame": (IO.IMAGE,), + "last_frame": (IO.IMAGE,), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the video generation", + }, + ), + "quality": ( + [resolution.value for resolution in PixverseQuality], + { + "default": PixverseQuality.res_540p, + }, + ), + "duration_seconds": ([dur.value for dur in PixverseDuration],), + "motion_mode": ([mode.value for mode in PixverseMotionMode],), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 2147483647, + "control_after_generate": True, + "tooltip": "Seed for video generation.", + }, + ), + }, + "optional": { + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + first_frame: torch.Tensor, + last_frame: torch.Tensor, + prompt: str, + quality: str, + duration_seconds: int, + motion_mode: str, + seed, + negative_prompt: str = None, + unique_id: Optional[str] = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False) + first_frame_id = await upload_image_to_pixverse(first_frame, auth_kwargs=kwargs) + last_frame_id = await upload_image_to_pixverse(last_frame, auth_kwargs=kwargs) + + # 1080p is limited to 5 seconds duration + # only normal motion_mode supported for 1080p or for non-5 second duration + if quality == PixverseQuality.res_1080p: + motion_mode = PixverseMotionMode.normal + duration_seconds = PixverseDuration.dur_5 + elif duration_seconds != PixverseDuration.dur_5: + motion_mode = PixverseMotionMode.normal + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/pixverse/video/transition/generate", + method=HttpMethod.POST, + request_model=PixverseTransitionVideoRequest, + response_model=PixverseVideoResponse, + ), + request=PixverseTransitionVideoRequest( + first_frame_img=first_frame_id, + last_frame_img=last_frame_id, + prompt=prompt, + quality=quality, + duration=duration_seconds, + motion_mode=motion_mode, + negative_prompt=negative_prompt if negative_prompt else None, + seed=seed, + ), + auth_kwargs=kwargs, + ) + response_api = await operation.execute() + + if response_api.Resp is None: + raise Exception(f"PixVerse request failed: '{response_api.ErrMsg}'") + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/pixverse/video/result/{response_api.Resp.video_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=PixverseGenerationStatusResponse, + ), + completed_statuses=[PixverseStatus.successful], + failed_statuses=[ + PixverseStatus.contents_moderation, + PixverseStatus.failed, + PixverseStatus.deleted, + ], + status_extractor=lambda x: x.Resp.status, + auth_kwargs=kwargs, + node_id=unique_id, + result_url_extractor=get_video_url_from_response, + estimated_duration=AVERAGE_DURATION_T2V, + ) + response_poll = await operation.execute() + + async with aiohttp.ClientSession() as session: + async with session.get(response_poll.Resp.url) as vid_response: + return (VideoFromFile(BytesIO(await vid_response.content.read())),) + + +NODE_CLASS_MAPPINGS = { + "PixverseTextToVideoNode": PixverseTextToVideoNode, + "PixverseImageToVideoNode": PixverseImageToVideoNode, + "PixverseTransitionVideoNode": PixverseTransitionVideoNode, + "PixverseTemplateNode": PixverseTemplateNode, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "PixverseTextToVideoNode": "PixVerse Text to Video", + "PixverseImageToVideoNode": "PixVerse Image to Video", + "PixverseTransitionVideoNode": "PixVerse Transition Video", + "PixverseTemplateNode": "PixVerse Template", +} diff --git a/comfy_api_nodes/nodes_recraft.py b/comfy_api_nodes/nodes_recraft.py new file mode 100644 index 0000000000000000000000000000000000000000..c8516b368208455148c00c523eca12e72be14ec3 --- /dev/null +++ b/comfy_api_nodes/nodes_recraft.py @@ -0,0 +1,1138 @@ +from __future__ import annotations +from inspect import cleandoc +from typing import Optional +from comfy.utils import ProgressBar +from comfy_extras.nodes_images import SVG # Added +from comfy.comfy_types.node_typing import IO +from comfy_api_nodes.apis.recraft_api import ( + RecraftImageGenerationRequest, + RecraftImageGenerationResponse, + RecraftImageSize, + RecraftModel, + RecraftStyle, + RecraftStyleV3, + RecraftColor, + RecraftColorChain, + RecraftControls, + RecraftIO, + get_v3_substyles, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + bytesio_to_image_tensor, + download_url_to_bytesio, + tensor_to_bytesio, + resize_mask_to_image, + validate_string, +) +from server import PromptServer + +import torch +from io import BytesIO +from PIL import UnidentifiedImageError + + +async def handle_recraft_file_request( + image: torch.Tensor, + path: str, + mask: torch.Tensor=None, + total_pixels=4096*4096, + timeout=1024, + request=None, + auth_kwargs: dict[str,str] = None, + ) -> list[BytesIO]: + """ + Handle sending common Recraft file-only request to get back file bytes. + """ + if request is None: + request = EmptyRequest() + + files = { + 'image': tensor_to_bytesio(image, total_pixels=total_pixels).read() + } + if mask is not None: + files['mask'] = tensor_to_bytesio(mask, total_pixels=total_pixels).read() + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=type(request), + response_model=RecraftImageGenerationResponse, + ), + request=request, + files=files, + content_type="multipart/form-data", + auth_kwargs=auth_kwargs, + multipart_parser=recraft_multipart_parser, + ) + response: RecraftImageGenerationResponse = await operation.execute() + all_bytesio = [] + if response.image is not None: + all_bytesio.append(await download_url_to_bytesio(response.image.url, timeout=timeout)) + else: + for data in response.data: + all_bytesio.append(await download_url_to_bytesio(data.url, timeout=timeout)) + + return all_bytesio + + +def recraft_multipart_parser(data, parent_key=None, formatter: callable=None, converted_to_check: list[list]=None, is_list=False) -> dict: + """ + Formats data such that multipart/form-data will work with requests library + when both files and data are present. + + The OpenAI client that Recraft uses has a bizarre way of serializing lists: + + It does NOT keep track of indeces of each list, so for background_color, that must be serialized as: + 'background_color[rgb][]' = [0, 0, 255] + where the array is assigned to a key that has '[]' at the end, to signal it's an array. + + This has the consequence of nested lists having the exact same key, forcing arrays to merge; all colors inputs fall under the same key: + if 1 color -> 'controls[colors][][rgb][]' = [0, 0, 255] + if 2 colors -> 'controls[colors][][rgb][]' = [0, 0, 255, 255, 0, 0] + if 3 colors -> 'controls[colors][][rgb][]' = [0, 0, 255, 255, 0, 0, 0, 255, 0] + etc. + Whoever made this serialization up at OpenAI added the constraint that lists must be of uniform length on objects of same 'type'. + """ + # Modification of a function that handled a different type of multipart parsing, big ups: + # https://gist.github.com/kazqvaizer/4cebebe5db654a414132809f9f88067b + + def handle_converted_lists(data, parent_key, lists_to_check=tuple[list]): + # if list already exists exists, just extend list with data + for check_list in lists_to_check: + for conv_tuple in check_list: + if conv_tuple[0] == parent_key and type(conv_tuple[1]) is list: + conv_tuple[1].append(formatter(data)) + return True + return False + + if converted_to_check is None: + converted_to_check = [] + + + if formatter is None: + formatter = lambda v: v # Multipart representation of value + + if type(data) is not dict: + # if list already exists exists, just extend list with data + added = handle_converted_lists(data, parent_key, converted_to_check) + if added: + return {} + # otherwise if is_list, create new list with data + if is_list: + return {parent_key: [formatter(data)]} + # return new key with data + return {parent_key: formatter(data)} + + converted = [] + next_check = [converted] + next_check.extend(converted_to_check) + + for key, value in data.items(): + current_key = key if parent_key is None else f"{parent_key}[{key}]" + if type(value) is dict: + converted.extend(recraft_multipart_parser(value, current_key, formatter, next_check).items()) + elif type(value) is list: + for ind, list_value in enumerate(value): + iter_key = f"{current_key}[]" + converted.extend(recraft_multipart_parser(list_value, iter_key, formatter, next_check, is_list=True).items()) + else: + converted.append((current_key, formatter(value))) + + return dict(converted) + + +class handle_recraft_image_output: + """ + Catch an exception related to receiving SVG data instead of image, when Infinite Style Library style_id is in use. + """ + def __init__(self): + pass + + def __enter__(self): + pass + + def __exit__(self, exc_type, exc_val, exc_tb): + if exc_type is not None and exc_type is UnidentifiedImageError: + raise Exception("Received output data was not an image; likely an SVG. If you used style_id, make sure it is not a Vector art style.") + + +class RecraftColorRGBNode: + """ + Create Recraft Color by choosing specific RGB values. + """ + + RETURN_TYPES = (RecraftIO.COLOR,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + RETURN_NAMES = ("recraft_color",) + FUNCTION = "create_color" + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "r": (IO.INT, { + "default": 0, + "min": 0, + "max": 255, + "tooltip": "Red value of color." + }), + "g": (IO.INT, { + "default": 0, + "min": 0, + "max": 255, + "tooltip": "Green value of color." + }), + "b": (IO.INT, { + "default": 0, + "min": 0, + "max": 255, + "tooltip": "Blue value of color." + }), + }, + "optional": { + "recraft_color": (RecraftIO.COLOR,), + } + } + + def create_color(self, r: int, g: int, b: int, recraft_color: RecraftColorChain=None): + recraft_color = recraft_color.clone() if recraft_color else RecraftColorChain() + recraft_color.add(RecraftColor(r, g, b)) + return (recraft_color, ) + + +class RecraftControlsNode: + """ + Create Recraft Controls for customizing Recraft generation. + """ + + RETURN_TYPES = (RecraftIO.CONTROLS,) + RETURN_NAMES = ("recraft_controls",) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "create_controls" + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + }, + "optional": { + "colors": (RecraftIO.COLOR,), + "background_color": (RecraftIO.COLOR,), + } + } + + def create_controls(self, colors: RecraftColorChain=None, background_color: RecraftColorChain=None): + return (RecraftControls(colors=colors, background_color=background_color), ) + + +class RecraftStyleV3RealisticImageNode: + """ + Select realistic_image style and optional substyle. + """ + + RETURN_TYPES = (RecraftIO.STYLEV3,) + RETURN_NAMES = ("recraft_style",) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "create_style" + CATEGORY = "api node/image/Recraft" + + RECRAFT_STYLE = RecraftStyleV3.realistic_image + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "substyle": (get_v3_substyles(s.RECRAFT_STYLE),), + } + } + + def create_style(self, substyle: str): + if substyle == "None": + substyle = None + return (RecraftStyle(self.RECRAFT_STYLE, substyle),) + + +class RecraftStyleV3DigitalIllustrationNode(RecraftStyleV3RealisticImageNode): + """ + Select digital_illustration style and optional substyle. + """ + + RECRAFT_STYLE = RecraftStyleV3.digital_illustration + + +class RecraftStyleV3VectorIllustrationNode(RecraftStyleV3RealisticImageNode): + """ + Select vector_illustration style and optional substyle. + """ + + RECRAFT_STYLE = RecraftStyleV3.vector_illustration + + +class RecraftStyleV3LogoRasterNode(RecraftStyleV3RealisticImageNode): + """ + Select vector_illustration style and optional substyle. + """ + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "substyle": (get_v3_substyles(s.RECRAFT_STYLE, include_none=False),), + } + } + + RECRAFT_STYLE = RecraftStyleV3.logo_raster + + +class RecraftStyleInfiniteStyleLibrary: + """ + Select style based on preexisting UUID from Recraft's Infinite Style Library. + """ + + RETURN_TYPES = (RecraftIO.STYLEV3,) + RETURN_NAMES = ("recraft_style",) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "create_style" + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "style_id": (IO.STRING, { + "default": "", + "tooltip": "UUID of style from Infinite Style Library.", + }) + } + } + + def create_style(self, style_id: str): + if not style_id: + raise Exception("The style_id input cannot be empty.") + return (RecraftStyle(style_id=style_id),) + + +class RecraftTextToImageNode: + """ + Generates images synchronously based on prompt and resolution. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation.", + }, + ), + "size": ( + [res.value for res in RecraftImageSize], + { + "default": RecraftImageSize.res_1024x1024, + "tooltip": "The size of the generated image.", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 6, + "tooltip": "The number of images to generate.", + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "recraft_style": (RecraftIO.STYLEV3,), + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + "recraft_controls": ( + RecraftIO.CONTROLS, + { + "tooltip": "Optional additional controls over the generation via the Recraft Controls node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + size: str, + n: int, + seed, + recraft_style: RecraftStyle = None, + negative_prompt: str = None, + recraft_controls: RecraftControls = None, + unique_id: Optional[str] = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False, max_length=1000) + default_style = RecraftStyle(RecraftStyleV3.realistic_image) + if recraft_style is None: + recraft_style = default_style + + controls_api = None + if recraft_controls: + controls_api = recraft_controls.create_api_model() + + if not negative_prompt: + negative_prompt = None + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/recraft/image_generation", + method=HttpMethod.POST, + request_model=RecraftImageGenerationRequest, + response_model=RecraftImageGenerationResponse, + ), + request=RecraftImageGenerationRequest( + prompt=prompt, + negative_prompt=negative_prompt, + model=RecraftModel.recraftv3, + size=size, + n=n, + style=recraft_style.style, + substyle=recraft_style.substyle, + style_id=recraft_style.style_id, + controls=controls_api, + ), + auth_kwargs=kwargs, + ) + response: RecraftImageGenerationResponse = await operation.execute() + images = [] + urls = [] + for data in response.data: + with handle_recraft_image_output(): + if unique_id and data.url: + urls.append(data.url) + urls_string = '\n'.join(urls) + PromptServer.instance.send_progress_text( + f"Result URL: {urls_string}", unique_id + ) + image = bytesio_to_image_tensor( + await download_url_to_bytesio(data.url, timeout=1024) + ) + if len(image.shape) < 4: + image = image.unsqueeze(0) + images.append(image) + output_image = torch.cat(images, dim=0) + + return (output_image,) + + +class RecraftImageToImageNode: + """ + Modify image based on prompt and strength. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE, ), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation.", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 6, + "tooltip": "The number of images to generate.", + }, + ), + "strength": ( + IO.FLOAT, + { + "default": 0.5, + "min": 0.0, + "max": 1.0, + "step": 0.01, + "tooltip": "Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity." + } + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "recraft_style": (RecraftIO.STYLEV3,), + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + "recraft_controls": ( + RecraftIO.CONTROLS, + { + "tooltip": "Optional additional controls over the generation via the Recraft Controls node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + image: torch.Tensor, + prompt: str, + n: int, + strength: float, + seed, + recraft_style: RecraftStyle = None, + negative_prompt: str = None, + recraft_controls: RecraftControls = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False, max_length=1000) + default_style = RecraftStyle(RecraftStyleV3.realistic_image) + if recraft_style is None: + recraft_style = default_style + + controls_api = None + if recraft_controls: + controls_api = recraft_controls.create_api_model() + + if not negative_prompt: + negative_prompt = None + + request = RecraftImageGenerationRequest( + prompt=prompt, + negative_prompt=negative_prompt, + model=RecraftModel.recraftv3, + n=n, + strength=round(strength, 2), + style=recraft_style.style, + substyle=recraft_style.substyle, + style_id=recraft_style.style_id, + controls=controls_api, + ) + + images = [] + total = image.shape[0] + pbar = ProgressBar(total) + for i in range(total): + sub_bytes = await handle_recraft_file_request( + image=image[i], + path="/proxy/recraft/images/imageToImage", + request=request, + auth_kwargs=kwargs, + ) + with handle_recraft_image_output(): + images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0)) + pbar.update(1) + + images_tensor = torch.cat(images, dim=0) + return (images_tensor, ) + + +class RecraftImageInpaintingNode: + """ + Modify image based on prompt and mask. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE, ), + "mask": (IO.MASK, ), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation.", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 6, + "tooltip": "The number of images to generate.", + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "recraft_style": (RecraftIO.STYLEV3,), + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + image: torch.Tensor, + mask: torch.Tensor, + prompt: str, + n: int, + seed, + recraft_style: RecraftStyle = None, + negative_prompt: str = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False, max_length=1000) + default_style = RecraftStyle(RecraftStyleV3.realistic_image) + if recraft_style is None: + recraft_style = default_style + + if not negative_prompt: + negative_prompt = None + + request = RecraftImageGenerationRequest( + prompt=prompt, + negative_prompt=negative_prompt, + model=RecraftModel.recraftv3, + n=n, + style=recraft_style.style, + substyle=recraft_style.substyle, + style_id=recraft_style.style_id, + ) + + # prepare mask tensor + mask = resize_mask_to_image(mask, image, allow_gradient=False, add_channel_dim=True) + + images = [] + total = image.shape[0] + pbar = ProgressBar(total) + for i in range(total): + sub_bytes = await handle_recraft_file_request( + image=image[i], + mask=mask[i:i+1], + path="/proxy/recraft/images/inpaint", + request=request, + auth_kwargs=kwargs, + ) + with handle_recraft_image_output(): + images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0)) + pbar.update(1) + + images_tensor = torch.cat(images, dim=0) + return (images_tensor, ) + + +class RecraftTextToVectorNode: + """ + Generates SVG synchronously based on prompt and resolution. + """ + + RETURN_TYPES = ("SVG",) # Changed + DESCRIPTION = cleandoc(__doc__ or "") if 'cleandoc' in globals() else __doc__ # Keep cleandoc if other nodes use it + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation.", + }, + ), + "substyle": (get_v3_substyles(RecraftStyleV3.vector_illustration),), + "size": ( + [res.value for res in RecraftImageSize], + { + "default": RecraftImageSize.res_1024x1024, + "tooltip": "The size of the generated image.", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 6, + "tooltip": "The number of images to generate.", + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + "recraft_controls": ( + RecraftIO.CONTROLS, + { + "tooltip": "Optional additional controls over the generation via the Recraft Controls node." + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + async def api_call( + self, + prompt: str, + substyle: str, + size: str, + n: int, + seed, + negative_prompt: str = None, + recraft_controls: RecraftControls = None, + unique_id: Optional[str] = None, + **kwargs, + ): + validate_string(prompt, strip_whitespace=False, max_length=1000) + # create RecraftStyle so strings will be formatted properly (i.e. "None" will become None) + recraft_style = RecraftStyle(RecraftStyleV3.vector_illustration, substyle=substyle) + + controls_api = None + if recraft_controls: + controls_api = recraft_controls.create_api_model() + + if not negative_prompt: + negative_prompt = None + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/recraft/image_generation", + method=HttpMethod.POST, + request_model=RecraftImageGenerationRequest, + response_model=RecraftImageGenerationResponse, + ), + request=RecraftImageGenerationRequest( + prompt=prompt, + negative_prompt=negative_prompt, + model=RecraftModel.recraftv3, + size=size, + n=n, + style=recraft_style.style, + substyle=recraft_style.substyle, + controls=controls_api, + ), + auth_kwargs=kwargs, + ) + response: RecraftImageGenerationResponse = await operation.execute() + svg_data = [] + urls = [] + for data in response.data: + if unique_id and data.url: + urls.append(data.url) + # Print result on each iteration in case of error + PromptServer.instance.send_progress_text( + f"Result URL: {' '.join(urls)}", unique_id + ) + svg_data.append(await download_url_to_bytesio(data.url, timeout=1024)) + + return (SVG(svg_data),) + + +class RecraftVectorizeImageNode: + """ + Generates SVG synchronously from an input image. + """ + + RETURN_TYPES = ("SVG",) # Changed + DESCRIPTION = cleandoc(__doc__ or "") if 'cleandoc' in globals() else __doc__ # Keep cleandoc if other nodes use it + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE, ), + }, + "optional": { + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + image: torch.Tensor, + **kwargs, + ): + svgs = [] + total = image.shape[0] + pbar = ProgressBar(total) + for i in range(total): + sub_bytes = await handle_recraft_file_request( + image=image[i], + path="/proxy/recraft/images/vectorize", + auth_kwargs=kwargs, + ) + svgs.append(SVG(sub_bytes)) + pbar.update(1) + + return (SVG.combine_all(svgs), ) + + +class RecraftReplaceBackgroundNode: + """ + Replace background on image, based on provided prompt. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE, ), + "prompt": ( + IO.STRING, + { + "multiline": True, + "default": "", + "tooltip": "Prompt for the image generation.", + }, + ), + "n": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 6, + "tooltip": "The number of images to generate.", + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "control_after_generate": True, + "tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", + }, + ), + }, + "optional": { + "recraft_style": (RecraftIO.STYLEV3,), + "negative_prompt": ( + IO.STRING, + { + "default": "", + "forceInput": True, + "tooltip": "An optional text description of undesired elements on an image.", + }, + ), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + image: torch.Tensor, + prompt: str, + n: int, + seed, + recraft_style: RecraftStyle = None, + negative_prompt: str = None, + **kwargs, + ): + default_style = RecraftStyle(RecraftStyleV3.realistic_image) + if recraft_style is None: + recraft_style = default_style + + if not negative_prompt: + negative_prompt = None + + request = RecraftImageGenerationRequest( + prompt=prompt, + negative_prompt=negative_prompt, + model=RecraftModel.recraftv3, + n=n, + style=recraft_style.style, + substyle=recraft_style.substyle, + style_id=recraft_style.style_id, + ) + + images = [] + total = image.shape[0] + pbar = ProgressBar(total) + for i in range(total): + sub_bytes = await handle_recraft_file_request( + image=image[i], + path="/proxy/recraft/images/replaceBackground", + request=request, + auth_kwargs=kwargs, + ) + images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0)) + pbar.update(1) + + images_tensor = torch.cat(images, dim=0) + return (images_tensor, ) + + +class RecraftRemoveBackgroundNode: + """ + Remove background from image, and return processed image and mask. + """ + + RETURN_TYPES = (IO.IMAGE, IO.MASK) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE, ), + }, + "optional": { + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + image: torch.Tensor, + **kwargs, + ): + images = [] + total = image.shape[0] + pbar = ProgressBar(total) + for i in range(total): + sub_bytes = await handle_recraft_file_request( + image=image[i], + path="/proxy/recraft/images/removeBackground", + auth_kwargs=kwargs, + ) + images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0)) + pbar.update(1) + + images_tensor = torch.cat(images, dim=0) + # use alpha channel as masks, in B,H,W format + masks_tensor = images_tensor[:,:,:,-1:].squeeze(-1) + return (images_tensor, masks_tensor) + + +class RecraftCrispUpscaleNode: + """ + Upscale image synchronously. + Enhances a given raster image using ‘crisp upscale’ tool, increasing image resolution, making the image sharper and cleaner. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + RECRAFT_PATH = "/proxy/recraft/images/crispUpscale" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE, ), + }, + "optional": { + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + image: torch.Tensor, + **kwargs, + ): + images = [] + total = image.shape[0] + pbar = ProgressBar(total) + for i in range(total): + sub_bytes = await handle_recraft_file_request( + image=image[i], + path=self.RECRAFT_PATH, + auth_kwargs=kwargs, + ) + images.append(torch.cat([bytesio_to_image_tensor(x) for x in sub_bytes], dim=0)) + pbar.update(1) + + images_tensor = torch.cat(images, dim=0) + return (images_tensor,) + + +class RecraftCreativeUpscaleNode(RecraftCrispUpscaleNode): + """ + Upscale image synchronously. + Enhances a given raster image using ‘creative upscale’ tool, boosting resolution with a focus on refining small details and faces. + """ + + RETURN_TYPES = (IO.IMAGE,) + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "api_call" + API_NODE = True + CATEGORY = "api node/image/Recraft" + + RECRAFT_PATH = "/proxy/recraft/images/creativeUpscale" + + +# A dictionary that contains all nodes you want to export with their names +# NOTE: names should be globally unique +NODE_CLASS_MAPPINGS = { + "RecraftTextToImageNode": RecraftTextToImageNode, + "RecraftImageToImageNode": RecraftImageToImageNode, + "RecraftImageInpaintingNode": RecraftImageInpaintingNode, + "RecraftTextToVectorNode": RecraftTextToVectorNode, + "RecraftVectorizeImageNode": RecraftVectorizeImageNode, + "RecraftRemoveBackgroundNode": RecraftRemoveBackgroundNode, + "RecraftReplaceBackgroundNode": RecraftReplaceBackgroundNode, + "RecraftCrispUpscaleNode": RecraftCrispUpscaleNode, + "RecraftCreativeUpscaleNode": RecraftCreativeUpscaleNode, + "RecraftStyleV3RealisticImage": RecraftStyleV3RealisticImageNode, + "RecraftStyleV3DigitalIllustration": RecraftStyleV3DigitalIllustrationNode, + "RecraftStyleV3LogoRaster": RecraftStyleV3LogoRasterNode, + "RecraftStyleV3InfiniteStyleLibrary": RecraftStyleInfiniteStyleLibrary, + "RecraftColorRGB": RecraftColorRGBNode, + "RecraftControls": RecraftControlsNode, +} + +# A dictionary that contains the friendly/humanly readable titles for the nodes +NODE_DISPLAY_NAME_MAPPINGS = { + "RecraftTextToImageNode": "Recraft Text to Image", + "RecraftImageToImageNode": "Recraft Image to Image", + "RecraftImageInpaintingNode": "Recraft Image Inpainting", + "RecraftTextToVectorNode": "Recraft Text to Vector", + "RecraftVectorizeImageNode": "Recraft Vectorize Image", + "RecraftRemoveBackgroundNode": "Recraft Remove Background", + "RecraftReplaceBackgroundNode": "Recraft Replace Background", + "RecraftCrispUpscaleNode": "Recraft Crisp Upscale Image", + "RecraftCreativeUpscaleNode": "Recraft Creative Upscale Image", + "RecraftStyleV3RealisticImage": "Recraft Style - Realistic Image", + "RecraftStyleV3DigitalIllustration": "Recraft Style - Digital Illustration", + "RecraftStyleV3LogoRaster": "Recraft Style - Logo Raster", + "RecraftStyleV3InfiniteStyleLibrary": "Recraft Style - Infinite Style Library", + "RecraftColorRGB": "Recraft Color RGB", + "RecraftControls": "Recraft Controls", +} diff --git a/comfy_api_nodes/nodes_rodin.py b/comfy_api_nodes/nodes_rodin.py new file mode 100644 index 0000000000000000000000000000000000000000..c89d087e5fd2ab23425c3521a875e22ea0dbab19 --- /dev/null +++ b/comfy_api_nodes/nodes_rodin.py @@ -0,0 +1,475 @@ +""" +ComfyUI X Rodin3D(Deemos) API Nodes + +Rodin API docs: https://developer.hyper3d.ai/ + +""" + +from __future__ import annotations +from inspect import cleandoc +from comfy.comfy_types.node_typing import IO +import folder_paths as comfy_paths +import aiohttp +import os +import datetime +import asyncio +import io +import logging +import math +from PIL import Image +from comfy_api_nodes.apis.rodin_api import ( + Rodin3DGenerateRequest, + Rodin3DGenerateResponse, + Rodin3DCheckStatusRequest, + Rodin3DCheckStatusResponse, + Rodin3DDownloadRequest, + Rodin3DDownloadResponse, + JobStatus, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, +) + + +COMMON_PARAMETERS = { + "Seed": ( + IO.INT, + { + "default":0, + "min":0, + "max":65535, + "display":"number" + } + ), + "Material_Type": ( + IO.COMBO, + { + "options": ["PBR", "Shaded"], + "default": "PBR" + } + ), + "Polygon_count": ( + IO.COMBO, + { + "options": ["4K-Quad", "8K-Quad", "18K-Quad", "50K-Quad", "200K-Triangle"], + "default": "18K-Quad" + } + ) +} + +def create_task_error(response: Rodin3DGenerateResponse): + """Check if the response has error""" + return hasattr(response, "error") + + +class Rodin3DAPI: + """ + Generate 3D Assets using Rodin API + """ + RETURN_TYPES = (IO.STRING,) + RETURN_NAMES = ("3D Model Path",) + CATEGORY = "api node/3d/Rodin" + DESCRIPTION = cleandoc(__doc__ or "") + FUNCTION = "api_call" + API_NODE = True + + def tensor_to_filelike(self, tensor, max_pixels: int = 2048*2048): + """ + Converts a PyTorch tensor to a file-like object. + + Args: + - tensor (torch.Tensor): A tensor representing an image of shape (H, W, C) + where C is the number of channels (3 for RGB), H is height, and W is width. + + Returns: + - io.BytesIO: A file-like object containing the image data. + """ + array = tensor.cpu().numpy() + array = (array * 255).astype('uint8') + image = Image.fromarray(array, 'RGB') + + original_width, original_height = image.size + original_pixels = original_width * original_height + if original_pixels > max_pixels: + scale = math.sqrt(max_pixels / original_pixels) + new_width = int(original_width * scale) + new_height = int(original_height * scale) + else: + new_width, new_height = original_width, original_height + + if new_width != original_width or new_height != original_height: + image = image.resize((new_width, new_height), Image.Resampling.LANCZOS) + + img_byte_arr = io.BytesIO() + image.save(img_byte_arr, format='PNG') # PNG is used for lossless compression + img_byte_arr.seek(0) + return img_byte_arr + + def check_rodin_status(self, response: Rodin3DCheckStatusResponse) -> str: + has_failed = any(job.status == JobStatus.Failed for job in response.jobs) + all_done = all(job.status == JobStatus.Done for job in response.jobs) + status_list = [str(job.status) for job in response.jobs] + logging.info(f"[ Rodin3D API - CheckStatus ] Generate Status: {status_list}") + if has_failed: + logging.error(f"[ Rodin3D API - CheckStatus ] Generate Failed: {status_list}, Please try again.") + raise Exception("[ Rodin3D API ] Generate Failed, Please Try again.") + elif all_done: + return "DONE" + else: + return "Generating" + + async def create_generate_task(self, images=None, seed=1, material="PBR", quality="medium", tier="Regular", mesh_mode="Quad", **kwargs): + if images is None: + raise Exception("Rodin 3D generate requires at least 1 image.") + if len(images) >= 5: + raise Exception("Rodin 3D generate requires up to 5 image.") + + path = "/proxy/rodin/api/v2/rodin" + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=Rodin3DGenerateRequest, + response_model=Rodin3DGenerateResponse, + ), + request=Rodin3DGenerateRequest( + seed=seed, + tier=tier, + material=material, + quality=quality, + mesh_mode=mesh_mode + ), + files=[ + ( + "images", + open(image, "rb") if isinstance(image, str) else self.tensor_to_filelike(image) + ) + for image in images if image is not None + ], + content_type = "multipart/form-data", + auth_kwargs=kwargs, + ) + + response = await operation.execute() + + if create_task_error(response): + error_message = f"Rodin3D Create 3D generate Task Failed. Message: {response.message}, error: {response.error}" + logging.error(error_message) + raise Exception(error_message) + + logging.info("[ Rodin3D API - Submit Jobs ] Submit Generate Task Success!") + subscription_key = response.jobs.subscription_key + task_uuid = response.uuid + logging.info(f"[ Rodin3D API - Submit Jobs ] UUID: {task_uuid}") + return task_uuid, subscription_key + + async def poll_for_task_status(self, subscription_key, **kwargs) -> Rodin3DCheckStatusResponse: + + path = "/proxy/rodin/api/v2/status" + + poll_operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path = path, + method=HttpMethod.POST, + request_model=Rodin3DCheckStatusRequest, + response_model=Rodin3DCheckStatusResponse, + ), + request=Rodin3DCheckStatusRequest( + subscription_key = subscription_key + ), + completed_statuses=["DONE"], + failed_statuses=["FAILED"], + status_extractor=self.check_rodin_status, + poll_interval=3.0, + auth_kwargs=kwargs, + ) + + logging.info("[ Rodin3D API - CheckStatus ] Generate Start!") + + return await poll_operation.execute() + + async def get_rodin_download_list(self, uuid, **kwargs) -> Rodin3DDownloadResponse: + logging.info("[ Rodin3D API - Downloading ] Generate Successfully!") + + path = "/proxy/rodin/api/v2/download" + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=path, + method=HttpMethod.POST, + request_model=Rodin3DDownloadRequest, + response_model=Rodin3DDownloadResponse, + ), + request=Rodin3DDownloadRequest( + task_uuid=uuid + ), + auth_kwargs=kwargs + ) + + return await operation.execute() + + def get_quality_mode(self, poly_count): + if poly_count == "200K-Triangle": + mesh_mode = "Raw" + quality = "medium" + else: + mesh_mode = "Quad" + if poly_count == "4K-Quad": + quality = "extra-low" + elif poly_count == "8K-Quad": + quality = "low" + elif poly_count == "18K-Quad": + quality = "medium" + elif poly_count == "50K-Quad": + quality = "high" + else: + quality = "medium" + + return mesh_mode, quality + + async def download_files(self, url_list): + save_path = os.path.join(comfy_paths.get_output_directory(), "Rodin3D", datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")) + os.makedirs(save_path, exist_ok=True) + model_file_path = None + async with aiohttp.ClientSession() as session: + for i in url_list.list: + url = i.url + file_name = i.name + file_path = os.path.join(save_path, file_name) + if file_path.endswith(".glb"): + model_file_path = file_path + logging.info(f"[ Rodin3D API - download_files ] Downloading file: {file_path}") + max_retries = 5 + for attempt in range(max_retries): + try: + async with session.get(url) as resp: + resp.raise_for_status() + with open(file_path, "wb") as f: + async for chunk in resp.content.iter_chunked(32 * 1024): + f.write(chunk) + break + except Exception as e: + logging.info(f"[ Rodin3D API - download_files ] Error downloading {file_path}:{e}") + if attempt < max_retries - 1: + logging.info("Retrying...") + await asyncio.sleep(2) + else: + logging.info( + "[ Rodin3D API - download_files ] Failed to download %s after %s attempts.", + file_path, + max_retries, + ) + + return model_file_path + + +class Rodin3D_Regular(Rodin3DAPI): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "Images": + ( + IO.IMAGE, + { + "forceInput":True, + } + ) + }, + "optional": { + **COMMON_PARAMETERS + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + Images, + Seed, + Material_Type, + Polygon_count, + **kwargs + ): + tier = "Regular" + num_images = Images.shape[0] + m_images = [] + for i in range(num_images): + m_images.append(Images[i]) + mesh_mode, quality = self.get_quality_mode(Polygon_count) + task_uuid, subscription_key = await self.create_generate_task(images=m_images, seed=Seed, material=Material_Type, + quality=quality, tier=tier, mesh_mode=mesh_mode, + **kwargs) + await self.poll_for_task_status(subscription_key, **kwargs) + download_list = await self.get_rodin_download_list(task_uuid, **kwargs) + model = await self.download_files(download_list) + + return (model,) + + +class Rodin3D_Detail(Rodin3DAPI): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "Images": + ( + IO.IMAGE, + { + "forceInput":True, + } + ) + }, + "optional": { + **COMMON_PARAMETERS + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + Images, + Seed, + Material_Type, + Polygon_count, + **kwargs + ): + tier = "Detail" + num_images = Images.shape[0] + m_images = [] + for i in range(num_images): + m_images.append(Images[i]) + mesh_mode, quality = self.get_quality_mode(Polygon_count) + task_uuid, subscription_key = await self.create_generate_task(images=m_images, seed=Seed, material=Material_Type, + quality=quality, tier=tier, mesh_mode=mesh_mode, + **kwargs) + await self.poll_for_task_status(subscription_key, **kwargs) + download_list = await self.get_rodin_download_list(task_uuid, **kwargs) + model = await self.download_files(download_list) + + return (model,) + + +class Rodin3D_Smooth(Rodin3DAPI): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "Images": + ( + IO.IMAGE, + { + "forceInput":True, + } + ) + }, + "optional": { + **COMMON_PARAMETERS + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + Images, + Seed, + Material_Type, + Polygon_count, + **kwargs + ): + tier = "Smooth" + num_images = Images.shape[0] + m_images = [] + for i in range(num_images): + m_images.append(Images[i]) + mesh_mode, quality = self.get_quality_mode(Polygon_count) + task_uuid, subscription_key = await self.create_generate_task(images=m_images, seed=Seed, material=Material_Type, + quality=quality, tier=tier, mesh_mode=mesh_mode, + **kwargs) + await self.poll_for_task_status(subscription_key, **kwargs) + download_list = await self.get_rodin_download_list(task_uuid, **kwargs) + model = await self.download_files(download_list) + + return (model,) + + +class Rodin3D_Sketch(Rodin3DAPI): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "Images": + ( + IO.IMAGE, + { + "forceInput":True, + } + ) + }, + "optional": { + "Seed": + ( + IO.INT, + { + "default":0, + "min":0, + "max":65535, + "display":"number" + } + ) + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + }, + } + + async def api_call( + self, + Images, + Seed, + **kwargs + ): + tier = "Sketch" + num_images = Images.shape[0] + m_images = [] + for i in range(num_images): + m_images.append(Images[i]) + material_type = "PBR" + quality = "medium" + mesh_mode = "Quad" + task_uuid, subscription_key = await self.create_generate_task( + images=m_images, seed=Seed, material=material_type, quality=quality, tier=tier, mesh_mode=mesh_mode, **kwargs + ) + await self.poll_for_task_status(subscription_key, **kwargs) + download_list = await self.get_rodin_download_list(task_uuid, **kwargs) + model = await self.download_files(download_list) + + return (model,) + +# A dictionary that contains all nodes you want to export with their names +# NOTE: names should be globally unique +NODE_CLASS_MAPPINGS = { + "Rodin3D_Regular": Rodin3D_Regular, + "Rodin3D_Detail": Rodin3D_Detail, + "Rodin3D_Smooth": Rodin3D_Smooth, + "Rodin3D_Sketch": Rodin3D_Sketch, +} + +# A dictionary that contains the friendly/humanly readable titles for the nodes +NODE_DISPLAY_NAME_MAPPINGS = { + "Rodin3D_Regular": "Rodin 3D Generate - Regular Generate", + "Rodin3D_Detail": "Rodin 3D Generate - Detail Generate", + "Rodin3D_Smooth": "Rodin 3D Generate - Smooth Generate", + "Rodin3D_Sketch": "Rodin 3D Generate - Sketch Generate", +} diff --git a/comfy_api_nodes/nodes_runway.py b/comfy_api_nodes/nodes_runway.py new file mode 100644 index 0000000000000000000000000000000000000000..27b2bf748f48dd5bf7bbfb0bdf14bcc93dda310a --- /dev/null +++ b/comfy_api_nodes/nodes_runway.py @@ -0,0 +1,605 @@ +"""Runway API Nodes + +API Docs: + - https://docs.dev.runwayml.com/api/#tag/Task-management/paths/~1v1~1tasks~1%7Bid%7D/delete + +User Guides: + - https://help.runwayml.com/hc/en-us/sections/30265301423635-Gen-3-Alpha + - https://help.runwayml.com/hc/en-us/articles/37327109429011-Creating-with-Gen-4-Video + - https://help.runwayml.com/hc/en-us/articles/33927968552339-Creating-with-Act-One-on-Gen-3-Alpha-and-Turbo + - https://help.runwayml.com/hc/en-us/articles/34170748696595-Creating-with-Keyframes-on-Gen-3 + +""" + +from typing import Union, Optional, Any +from typing_extensions import override +from enum import Enum + +import torch + +from comfy_api_nodes.apis import ( + RunwayImageToVideoRequest, + RunwayImageToVideoResponse, + RunwayTaskStatusResponse as TaskStatusResponse, + RunwayTaskStatusEnum as TaskStatus, + RunwayModelEnum as Model, + RunwayDurationEnum as Duration, + RunwayAspectRatioEnum as AspectRatio, + RunwayPromptImageObject, + RunwayPromptImageDetailedObject, + RunwayTextToImageRequest, + RunwayTextToImageResponse, + Model4, + ReferenceImage, + RunwayTextToImageAspectRatioEnum, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + upload_images_to_comfyapi, + download_url_to_video_output, + image_tensor_pair_to_batch, + validate_string, + download_url_to_image_tensor, +) +from comfy_api.input_impl import VideoFromFile +from comfy_api.latest import ComfyExtension, io as comfy_io +from comfy_api_nodes.util.validation_utils import validate_image_dimensions, validate_image_aspect_ratio + +PATH_IMAGE_TO_VIDEO = "/proxy/runway/image_to_video" +PATH_TEXT_TO_IMAGE = "/proxy/runway/text_to_image" +PATH_GET_TASK_STATUS = "/proxy/runway/tasks" + +AVERAGE_DURATION_I2V_SECONDS = 64 +AVERAGE_DURATION_FLF_SECONDS = 256 +AVERAGE_DURATION_T2I_SECONDS = 41 + + +class RunwayApiError(Exception): + """Base exception for Runway API errors.""" + + pass + + +class RunwayGen4TurboAspectRatio(str, Enum): + """Aspect ratios supported for Image to Video API when using gen4_turbo model.""" + + field_1280_720 = "1280:720" + field_720_1280 = "720:1280" + field_1104_832 = "1104:832" + field_832_1104 = "832:1104" + field_960_960 = "960:960" + field_1584_672 = "1584:672" + + +class RunwayGen3aAspectRatio(str, Enum): + """Aspect ratios supported for Image to Video API when using gen3a_turbo model.""" + + field_768_1280 = "768:1280" + field_1280_768 = "1280:768" + + +def get_video_url_from_task_status(response: TaskStatusResponse) -> Union[str, None]: + """Returns the video URL from the task status response if it exists.""" + if hasattr(response, "output") and len(response.output) > 0: + return response.output[0] + return None + + +async def poll_until_finished( + auth_kwargs: dict[str, str], + api_endpoint: ApiEndpoint[Any, TaskStatusResponse], + estimated_duration: Optional[int] = None, + node_id: Optional[str] = None, +) -> TaskStatusResponse: + """Polls the Runway API endpoint until the task reaches a terminal state, then returns the response.""" + return await PollingOperation( + poll_endpoint=api_endpoint, + completed_statuses=[ + TaskStatus.SUCCEEDED.value, + ], + failed_statuses=[ + TaskStatus.FAILED.value, + TaskStatus.CANCELLED.value, + ], + status_extractor=lambda response: response.status.value, + auth_kwargs=auth_kwargs, + result_url_extractor=get_video_url_from_task_status, + estimated_duration=estimated_duration, + node_id=node_id, + progress_extractor=extract_progress_from_task_status, + ).execute() + + +def extract_progress_from_task_status( + response: TaskStatusResponse, +) -> Union[float, None]: + if hasattr(response, "progress") and response.progress is not None: + return response.progress * 100 + return None + + +def get_image_url_from_task_status(response: TaskStatusResponse) -> Union[str, None]: + """Returns the image URL from the task status response if it exists.""" + if hasattr(response, "output") and len(response.output) > 0: + return response.output[0] + return None + + +async def get_response( + task_id: str, auth_kwargs: dict[str, str], node_id: Optional[str] = None, estimated_duration: Optional[int] = None +) -> TaskStatusResponse: + """Poll the task status until it is finished then get the response.""" + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=f"{PATH_GET_TASK_STATUS}/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=TaskStatusResponse, + ), + estimated_duration=estimated_duration, + node_id=node_id, + ) + + +async def generate_video( + request: RunwayImageToVideoRequest, + auth_kwargs: dict[str, str], + node_id: Optional[str] = None, + estimated_duration: Optional[int] = None, +) -> VideoFromFile: + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_IMAGE_TO_VIDEO, + method=HttpMethod.POST, + request_model=RunwayImageToVideoRequest, + response_model=RunwayImageToVideoResponse, + ), + request=request, + auth_kwargs=auth_kwargs, + ) + + initial_response = await initial_operation.execute() + + final_response = await get_response(initial_response.id, auth_kwargs, node_id, estimated_duration) + if not final_response.output: + raise RunwayApiError("Runway task succeeded but no video data found in response.") + + video_url = get_video_url_from_task_status(final_response) + return await download_url_to_video_output(video_url) + + +class RunwayImageToVideoNodeGen3a(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="RunwayImageToVideoNodeGen3a", + display_name="Runway Image to Video (Gen3a Turbo)", + category="api node/video/Runway", + description="Generate a video from a single starting frame using Gen3a Turbo model. " + "Before diving in, review these best practices to ensure that " + "your input selections will set your generation up for success: " + "https://help.runwayml.com/hc/en-us/articles/33927968552339-Creating-with-Act-One-on-Gen-3-Alpha-and-Turbo.", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text prompt for the generation", + ), + comfy_io.Image.Input( + "start_frame", + tooltip="Start frame to be used for the video", + ), + comfy_io.Combo.Input( + "duration", + options=[model.value for model in Duration], + ), + comfy_io.Combo.Input( + "ratio", + options=[model.value for model in RunwayGen3aAspectRatio], + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967295, + step=1, + control_after_generate=True, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Random seed for generation", + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + start_frame: torch.Tensor, + duration: str, + ratio: str, + seed: int, + ) -> comfy_io.NodeOutput: + validate_string(prompt, min_length=1) + validate_image_dimensions(start_frame, max_width=7999, max_height=7999) + validate_image_aspect_ratio(start_frame, min_aspect_ratio=0.5, max_aspect_ratio=2.0) + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + download_urls = await upload_images_to_comfyapi( + start_frame, + max_images=1, + mime_type="image/png", + auth_kwargs=auth_kwargs, + ) + + return comfy_io.NodeOutput( + await generate_video( + RunwayImageToVideoRequest( + promptText=prompt, + seed=seed, + model=Model("gen3a_turbo"), + duration=Duration(duration), + ratio=AspectRatio(ratio), + promptImage=RunwayPromptImageObject( + root=[ + RunwayPromptImageDetailedObject( + uri=str(download_urls[0]), position="first" + ) + ] + ), + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + ) + ) + + +class RunwayImageToVideoNodeGen4(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="RunwayImageToVideoNodeGen4", + display_name="Runway Image to Video (Gen4 Turbo)", + category="api node/video/Runway", + description="Generate a video from a single starting frame using Gen4 Turbo model. " + "Before diving in, review these best practices to ensure that " + "your input selections will set your generation up for success: " + "https://help.runwayml.com/hc/en-us/articles/37327109429011-Creating-with-Gen-4-Video.", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text prompt for the generation", + ), + comfy_io.Image.Input( + "start_frame", + tooltip="Start frame to be used for the video", + ), + comfy_io.Combo.Input( + "duration", + options=[model.value for model in Duration], + ), + comfy_io.Combo.Input( + "ratio", + options=[model.value for model in RunwayGen4TurboAspectRatio], + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967295, + step=1, + control_after_generate=True, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Random seed for generation", + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + start_frame: torch.Tensor, + duration: str, + ratio: str, + seed: int, + ) -> comfy_io.NodeOutput: + validate_string(prompt, min_length=1) + validate_image_dimensions(start_frame, max_width=7999, max_height=7999) + validate_image_aspect_ratio(start_frame, min_aspect_ratio=0.5, max_aspect_ratio=2.0) + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + download_urls = await upload_images_to_comfyapi( + start_frame, + max_images=1, + mime_type="image/png", + auth_kwargs=auth_kwargs, + ) + + return comfy_io.NodeOutput( + await generate_video( + RunwayImageToVideoRequest( + promptText=prompt, + seed=seed, + model=Model("gen4_turbo"), + duration=Duration(duration), + ratio=AspectRatio(ratio), + promptImage=RunwayPromptImageObject( + root=[ + RunwayPromptImageDetailedObject( + uri=str(download_urls[0]), position="first" + ) + ] + ), + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=AVERAGE_DURATION_FLF_SECONDS, + ) + ) + + +class RunwayFirstLastFrameNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="RunwayFirstLastFrameNode", + display_name="Runway First-Last-Frame to Video", + category="api node/video/Runway", + description="Upload first and last keyframes, draft a prompt, and generate a video. " + "More complex transitions, such as cases where the Last frame is completely different " + "from the First frame, may benefit from the longer 10s duration. " + "This would give the generation more time to smoothly transition between the two inputs. " + "Before diving in, review these best practices to ensure that your input selections " + "will set your generation up for success: " + "https://help.runwayml.com/hc/en-us/articles/34170748696595-Creating-with-Keyframes-on-Gen-3.", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text prompt for the generation", + ), + comfy_io.Image.Input( + "start_frame", + tooltip="Start frame to be used for the video", + ), + comfy_io.Image.Input( + "end_frame", + tooltip="End frame to be used for the video. Supported for gen3a_turbo only.", + ), + comfy_io.Combo.Input( + "duration", + options=[model.value for model in Duration], + ), + comfy_io.Combo.Input( + "ratio", + options=[model.value for model in RunwayGen3aAspectRatio], + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967295, + step=1, + control_after_generate=True, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Random seed for generation", + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + start_frame: torch.Tensor, + end_frame: torch.Tensor, + duration: str, + ratio: str, + seed: int, + ) -> comfy_io.NodeOutput: + validate_string(prompt, min_length=1) + validate_image_dimensions(start_frame, max_width=7999, max_height=7999) + validate_image_dimensions(end_frame, max_width=7999, max_height=7999) + validate_image_aspect_ratio(start_frame, min_aspect_ratio=0.5, max_aspect_ratio=2.0) + validate_image_aspect_ratio(end_frame, min_aspect_ratio=0.5, max_aspect_ratio=2.0) + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + stacked_input_images = image_tensor_pair_to_batch(start_frame, end_frame) + download_urls = await upload_images_to_comfyapi( + stacked_input_images, + max_images=2, + mime_type="image/png", + auth_kwargs=auth_kwargs, + ) + if len(download_urls) != 2: + raise RunwayApiError("Failed to upload one or more images to comfy api.") + + return comfy_io.NodeOutput( + await generate_video( + RunwayImageToVideoRequest( + promptText=prompt, + seed=seed, + model=Model("gen3a_turbo"), + duration=Duration(duration), + ratio=AspectRatio(ratio), + promptImage=RunwayPromptImageObject( + root=[ + RunwayPromptImageDetailedObject( + uri=str(download_urls[0]), position="first" + ), + RunwayPromptImageDetailedObject( + uri=str(download_urls[1]), position="last" + ), + ] + ), + ), + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=AVERAGE_DURATION_FLF_SECONDS, + ) + ) + + +class RunwayTextToImageNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="RunwayTextToImageNode", + display_name="Runway Text to Image", + category="api node/image/Runway", + description="Generate an image from a text prompt using Runway's Gen 4 model. " + "You can also include reference image to guide the generation.", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text prompt for the generation", + ), + comfy_io.Combo.Input( + "ratio", + options=[model.value for model in RunwayTextToImageAspectRatioEnum], + ), + comfy_io.Image.Input( + "reference_image", + tooltip="Optional reference image to guide the generation", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + ratio: str, + reference_image: Optional[torch.Tensor] = None, + ) -> comfy_io.NodeOutput: + validate_string(prompt, min_length=1) + + auth_kwargs = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + # Prepare reference images if provided + reference_images = None + if reference_image is not None: + validate_image_dimensions(reference_image, max_width=7999, max_height=7999) + validate_image_aspect_ratio(reference_image, min_aspect_ratio=0.5, max_aspect_ratio=2.0) + download_urls = await upload_images_to_comfyapi( + reference_image, + max_images=1, + mime_type="image/png", + auth_kwargs=auth_kwargs, + ) + reference_images = [ReferenceImage(uri=str(download_urls[0]))] + + request = RunwayTextToImageRequest( + promptText=prompt, + model=Model4.gen4_image, + ratio=ratio, + referenceImages=reference_images, + ) + + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=PATH_TEXT_TO_IMAGE, + method=HttpMethod.POST, + request_model=RunwayTextToImageRequest, + response_model=RunwayTextToImageResponse, + ), + request=request, + auth_kwargs=auth_kwargs, + ) + + initial_response = await initial_operation.execute() + + # Poll for completion + final_response = await get_response( + initial_response.id, + auth_kwargs=auth_kwargs, + node_id=cls.hidden.unique_id, + estimated_duration=AVERAGE_DURATION_T2I_SECONDS, + ) + if not final_response.output: + raise RunwayApiError("Runway task succeeded but no image data found in response.") + + return comfy_io.NodeOutput(await download_url_to_image_tensor(get_image_url_from_task_status(final_response))) + + +class RunwayExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + RunwayFirstLastFrameNode, + RunwayImageToVideoNodeGen3a, + RunwayImageToVideoNodeGen4, + RunwayTextToImageNode, + ] + +async def comfy_entrypoint() -> RunwayExtension: + return RunwayExtension() diff --git a/comfy_api_nodes/nodes_stability.py b/comfy_api_nodes/nodes_stability.py new file mode 100644 index 0000000000000000000000000000000000000000..5ba5ed986774fe60db981db0c8f35b702a30046d --- /dev/null +++ b/comfy_api_nodes/nodes_stability.py @@ -0,0 +1,975 @@ +from inspect import cleandoc +from typing import Optional +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, Input, io as comfy_io +from comfy_api_nodes.apis.stability_api import ( + StabilityUpscaleConservativeRequest, + StabilityUpscaleCreativeRequest, + StabilityAsyncResponse, + StabilityResultsGetResponse, + StabilityStable3_5Request, + StabilityStableUltraRequest, + StabilityStableUltraResponse, + StabilityAspectRatio, + Stability_SD3_5_Model, + Stability_SD3_5_GenerationMode, + get_stability_style_presets, + StabilityTextToAudioRequest, + StabilityAudioToAudioRequest, + StabilityAudioInpaintRequest, + StabilityAudioResponse, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + bytesio_to_image_tensor, + tensor_to_bytesio, + validate_string, + audio_bytes_to_audio_input, + audio_input_to_mp3, +) +from comfy_api_nodes.util.validation_utils import validate_audio_duration + +import torch +import base64 +from io import BytesIO +from enum import Enum + + +class StabilityPollStatus(str, Enum): + finished = "finished" + in_progress = "in_progress" + failed = "failed" + + +def get_async_dummy_status(x: StabilityResultsGetResponse): + if x.name is not None or x.errors is not None: + return StabilityPollStatus.failed + elif x.finish_reason is not None: + return StabilityPollStatus.finished + return StabilityPollStatus.in_progress + + +class StabilityStableImageUltraNode(comfy_io.ComfyNode): + """ + Generates images synchronously based on prompt and resolution. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityStableImageUltraNode", + display_name="Stability AI Stable Image Ultra", + category="api node/image/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="What you wish to see in the output image. A strong, descriptive prompt that clearly defines" + + "elements, colors, and subjects will lead to better results. " + + "To control the weight of a given word use the format `(word:weight)`," + + "where `word` is the word you'd like to control the weight of and `weight`" + + "is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)`" + + "would convey a sky that was blue and green, but more green than blue.", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=[x.value for x in StabilityAspectRatio], + default=StabilityAspectRatio.ratio_1_1.value, + tooltip="Aspect ratio of generated image.", + ), + comfy_io.Combo.Input( + "style_preset", + options=get_stability_style_presets(), + tooltip="Optional desired style of generated image.", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + ), + comfy_io.Image.Input( + "image", + optional=True, + ), + comfy_io.String.Input( + "negative_prompt", + default="", + tooltip="A blurb of text describing what you do not wish to see in the output image. This is an advanced feature.", + force_input=True, + optional=True, + ), + comfy_io.Float.Input( + "image_denoise", + default=0.5, + min=0.0, + max=1.0, + step=0.01, + tooltip="Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all.", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt: str, + aspect_ratio: str, + style_preset: str, + seed: int, + image: Optional[torch.Tensor] = None, + negative_prompt: str = "", + image_denoise: Optional[float] = 0.5, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=False) + # prepare image binary if image present + image_binary = None + if image is not None: + image_binary = tensor_to_bytesio(image, total_pixels=1504*1504).read() + else: + image_denoise = None + + if not negative_prompt: + negative_prompt = None + if style_preset == "None": + style_preset = None + + files = { + "image": image_binary + } + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/stable-image/generate/ultra", + method=HttpMethod.POST, + request_model=StabilityStableUltraRequest, + response_model=StabilityStableUltraResponse, + ), + request=StabilityStableUltraRequest( + prompt=prompt, + negative_prompt=negative_prompt, + aspect_ratio=aspect_ratio, + seed=seed, + strength=image_denoise, + style_preset=style_preset, + ), + files=files, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + response_api = await operation.execute() + + if response_api.finish_reason != "SUCCESS": + raise Exception(f"Stable Image Ultra generation failed: {response_api.finish_reason}.") + + image_data = base64.b64decode(response_api.image) + returned_image = bytesio_to_image_tensor(BytesIO(image_data)) + + return comfy_io.NodeOutput(returned_image) + + +class StabilityStableImageSD_3_5Node(comfy_io.ComfyNode): + """ + Generates images synchronously based on prompt and resolution. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityStableImageSD_3_5Node", + display_name="Stability AI Stable Diffusion 3.5 Image", + category="api node/image/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.", + ), + comfy_io.Combo.Input( + "model", + options=[x.value for x in Stability_SD3_5_Model], + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=[x.value for x in StabilityAspectRatio], + default=StabilityAspectRatio.ratio_1_1.value, + tooltip="Aspect ratio of generated image.", + ), + comfy_io.Combo.Input( + "style_preset", + options=get_stability_style_presets(), + tooltip="Optional desired style of generated image.", + ), + comfy_io.Float.Input( + "cfg_scale", + default=4.0, + min=1.0, + max=10.0, + step=0.1, + tooltip="How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt)", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + ), + comfy_io.Image.Input( + "image", + optional=True, + ), + comfy_io.String.Input( + "negative_prompt", + default="", + tooltip="Keywords of what you do not wish to see in the output image. This is an advanced feature.", + force_input=True, + optional=True, + ), + comfy_io.Float.Input( + "image_denoise", + default=0.5, + min=0.0, + max=1.0, + step=0.01, + tooltip="Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all.", + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + aspect_ratio: str, + style_preset: str, + seed: int, + cfg_scale: float, + image: Optional[torch.Tensor] = None, + negative_prompt: str = "", + image_denoise: Optional[float] = 0.5, + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=False) + # prepare image binary if image present + image_binary = None + mode = Stability_SD3_5_GenerationMode.text_to_image + if image is not None: + image_binary = tensor_to_bytesio(image, total_pixels=1504*1504).read() + mode = Stability_SD3_5_GenerationMode.image_to_image + aspect_ratio = None + else: + image_denoise = None + + if not negative_prompt: + negative_prompt = None + if style_preset == "None": + style_preset = None + + files = { + "image": image_binary + } + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/stable-image/generate/sd3", + method=HttpMethod.POST, + request_model=StabilityStable3_5Request, + response_model=StabilityStableUltraResponse, + ), + request=StabilityStable3_5Request( + prompt=prompt, + negative_prompt=negative_prompt, + aspect_ratio=aspect_ratio, + seed=seed, + strength=image_denoise, + style_preset=style_preset, + cfg_scale=cfg_scale, + model=model, + mode=mode, + ), + files=files, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + response_api = await operation.execute() + + if response_api.finish_reason != "SUCCESS": + raise Exception(f"Stable Diffusion 3.5 Image generation failed: {response_api.finish_reason}.") + + image_data = base64.b64decode(response_api.image) + returned_image = bytesio_to_image_tensor(BytesIO(image_data)) + + return comfy_io.NodeOutput(returned_image) + + +class StabilityUpscaleConservativeNode(comfy_io.ComfyNode): + """ + Upscale image with minimal alterations to 4K resolution. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityUpscaleConservativeNode", + display_name="Stability AI Upscale Conservative", + category="api node/image/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Image.Input("image"), + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.", + ), + comfy_io.Float.Input( + "creativity", + default=0.35, + min=0.2, + max=0.5, + step=0.01, + tooltip="Controls the likelihood of creating additional details not heavily conditioned by the init image.", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + ), + comfy_io.String.Input( + "negative_prompt", + default="", + tooltip="Keywords of what you do not wish to see in the output image. This is an advanced feature.", + force_input=True, + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + image: torch.Tensor, + prompt: str, + creativity: float, + seed: int, + negative_prompt: str = "", + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=False) + image_binary = tensor_to_bytesio(image, total_pixels=1024*1024).read() + + if not negative_prompt: + negative_prompt = None + + files = { + "image": image_binary + } + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/stable-image/upscale/conservative", + method=HttpMethod.POST, + request_model=StabilityUpscaleConservativeRequest, + response_model=StabilityStableUltraResponse, + ), + request=StabilityUpscaleConservativeRequest( + prompt=prompt, + negative_prompt=negative_prompt, + creativity=round(creativity,2), + seed=seed, + ), + files=files, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + response_api = await operation.execute() + + if response_api.finish_reason != "SUCCESS": + raise Exception(f"Stability Upscale Conservative generation failed: {response_api.finish_reason}.") + + image_data = base64.b64decode(response_api.image) + returned_image = bytesio_to_image_tensor(BytesIO(image_data)) + + return comfy_io.NodeOutput(returned_image) + + +class StabilityUpscaleCreativeNode(comfy_io.ComfyNode): + """ + Upscale image with minimal alterations to 4K resolution. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityUpscaleCreativeNode", + display_name="Stability AI Upscale Creative", + category="api node/image/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Image.Input("image"), + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.", + ), + comfy_io.Float.Input( + "creativity", + default=0.3, + min=0.1, + max=0.5, + step=0.01, + tooltip="Controls the likelihood of creating additional details not heavily conditioned by the init image.", + ), + comfy_io.Combo.Input( + "style_preset", + options=get_stability_style_presets(), + tooltip="Optional desired style of generated image.", + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for creating the noise.", + ), + comfy_io.String.Input( + "negative_prompt", + default="", + tooltip="Keywords of what you do not wish to see in the output image. This is an advanced feature.", + force_input=True, + optional=True, + ), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + image: torch.Tensor, + prompt: str, + creativity: float, + style_preset: str, + seed: int, + negative_prompt: str = "", + ) -> comfy_io.NodeOutput: + validate_string(prompt, strip_whitespace=False) + image_binary = tensor_to_bytesio(image, total_pixels=1024*1024).read() + + if not negative_prompt: + negative_prompt = None + if style_preset == "None": + style_preset = None + + files = { + "image": image_binary + } + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/stable-image/upscale/creative", + method=HttpMethod.POST, + request_model=StabilityUpscaleCreativeRequest, + response_model=StabilityAsyncResponse, + ), + request=StabilityUpscaleCreativeRequest( + prompt=prompt, + negative_prompt=negative_prompt, + creativity=round(creativity,2), + style_preset=style_preset, + seed=seed, + ), + files=files, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + response_api = await operation.execute() + + operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/stability/v2beta/results/{response_api.id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=StabilityResultsGetResponse, + ), + poll_interval=3, + completed_statuses=[StabilityPollStatus.finished], + failed_statuses=[StabilityPollStatus.failed], + status_extractor=lambda x: get_async_dummy_status(x), + auth_kwargs=auth, + node_id=cls.hidden.unique_id, + ) + response_poll: StabilityResultsGetResponse = await operation.execute() + + if response_poll.finish_reason != "SUCCESS": + raise Exception(f"Stability Upscale Creative generation failed: {response_poll.finish_reason}.") + + image_data = base64.b64decode(response_poll.result) + returned_image = bytesio_to_image_tensor(BytesIO(image_data)) + + return comfy_io.NodeOutput(returned_image) + + +class StabilityUpscaleFastNode(comfy_io.ComfyNode): + """ + Quickly upscales an image via Stability API call to 4x its original size; intended for upscaling low-quality/compressed images. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityUpscaleFastNode", + display_name="Stability AI Upscale Fast", + category="api node/image/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Image.Input("image"), + ], + outputs=[ + comfy_io.Image.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute(cls, image: torch.Tensor) -> comfy_io.NodeOutput: + image_binary = tensor_to_bytesio(image, total_pixels=4096*4096).read() + + files = { + "image": image_binary + } + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/stable-image/upscale/fast", + method=HttpMethod.POST, + request_model=EmptyRequest, + response_model=StabilityStableUltraResponse, + ), + request=EmptyRequest(), + files=files, + content_type="multipart/form-data", + auth_kwargs=auth, + ) + response_api = await operation.execute() + + if response_api.finish_reason != "SUCCESS": + raise Exception(f"Stability Upscale Fast failed: {response_api.finish_reason}.") + + image_data = base64.b64decode(response_api.image) + returned_image = bytesio_to_image_tensor(BytesIO(image_data)) + + return comfy_io.NodeOutput(returned_image) + + +class StabilityTextToAudio(comfy_io.ComfyNode): + """Generates high-quality music and sound effects from text descriptions.""" + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityTextToAudio", + display_name="Stability AI Text To Audio", + category="api node/audio/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Combo.Input( + "model", + options=["stable-audio-2.5"], + ), + comfy_io.String.Input("prompt", multiline=True, default=""), + comfy_io.Int.Input( + "duration", + default=190, + min=1, + max=190, + step=1, + tooltip="Controls the duration in seconds of the generated audio.", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for generation.", + optional=True, + ), + comfy_io.Int.Input( + "steps", + default=8, + min=4, + max=8, + step=1, + tooltip="Controls the number of sampling steps.", + optional=True, + ), + ], + outputs=[ + comfy_io.Audio.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute(cls, model: str, prompt: str, duration: int, seed: int, steps: int) -> comfy_io.NodeOutput: + validate_string(prompt, max_length=10000) + payload = StabilityTextToAudioRequest(prompt=prompt, model=model, duration=duration, seed=seed, steps=steps) + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/audio/stable-audio-2/text-to-audio", + method=HttpMethod.POST, + request_model=StabilityTextToAudioRequest, + response_model=StabilityAudioResponse, + ), + request=payload, + content_type="multipart/form-data", + auth_kwargs= { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + }, + ) + response_api = await operation.execute() + if not response_api.audio: + raise ValueError("No audio file was received in response.") + return comfy_io.NodeOutput(audio_bytes_to_audio_input(base64.b64decode(response_api.audio))) + + +class StabilityAudioToAudio(comfy_io.ComfyNode): + """Transforms existing audio samples into new high-quality compositions using text instructions.""" + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityAudioToAudio", + display_name="Stability AI Audio To Audio", + category="api node/audio/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Combo.Input( + "model", + options=["stable-audio-2.5"], + ), + comfy_io.String.Input("prompt", multiline=True, default=""), + comfy_io.Audio.Input("audio", tooltip="Audio must be between 6 and 190 seconds long."), + comfy_io.Int.Input( + "duration", + default=190, + min=1, + max=190, + step=1, + tooltip="Controls the duration in seconds of the generated audio.", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for generation.", + optional=True, + ), + comfy_io.Int.Input( + "steps", + default=8, + min=4, + max=8, + step=1, + tooltip="Controls the number of sampling steps.", + optional=True, + ), + comfy_io.Float.Input( + "strength", + default=1, + min=0.01, + max=1.0, + step=0.01, + display_mode=comfy_io.NumberDisplay.slider, + tooltip="Parameter controls how much influence the audio parameter has on the generated audio.", + optional=True, + ), + ], + outputs=[ + comfy_io.Audio.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, model: str, prompt: str, audio: Input.Audio, duration: int, seed: int, steps: int, strength: float + ) -> comfy_io.NodeOutput: + validate_string(prompt, max_length=10000) + validate_audio_duration(audio, 6, 190) + payload = StabilityAudioToAudioRequest( + prompt=prompt, model=model, duration=duration, seed=seed, steps=steps, strength=strength + ) + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/audio/stable-audio-2/audio-to-audio", + method=HttpMethod.POST, + request_model=StabilityAudioToAudioRequest, + response_model=StabilityAudioResponse, + ), + request=payload, + content_type="multipart/form-data", + files={"audio": audio_input_to_mp3(audio)}, + auth_kwargs= { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + }, + ) + response_api = await operation.execute() + if not response_api.audio: + raise ValueError("No audio file was received in response.") + return comfy_io.NodeOutput(audio_bytes_to_audio_input(base64.b64decode(response_api.audio))) + + +class StabilityAudioInpaint(comfy_io.ComfyNode): + """Transforms part of existing audio sample using text instructions.""" + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="StabilityAudioInpaint", + display_name="Stability AI Audio Inpaint", + category="api node/audio/Stability AI", + description=cleandoc(cls.__doc__ or ""), + inputs=[ + comfy_io.Combo.Input( + "model", + options=["stable-audio-2.5"], + ), + comfy_io.String.Input("prompt", multiline=True, default=""), + comfy_io.Audio.Input("audio", tooltip="Audio must be between 6 and 190 seconds long."), + comfy_io.Int.Input( + "duration", + default=190, + min=1, + max=190, + step=1, + tooltip="Controls the duration in seconds of the generated audio.", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=4294967294, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="The random seed used for generation.", + optional=True, + ), + comfy_io.Int.Input( + "steps", + default=8, + min=4, + max=8, + step=1, + tooltip="Controls the number of sampling steps.", + optional=True, + ), + comfy_io.Int.Input( + "mask_start", + default=30, + min=0, + max=190, + step=1, + optional=True, + ), + comfy_io.Int.Input( + "mask_end", + default=190, + min=0, + max=190, + step=1, + optional=True, + ), + ], + outputs=[ + comfy_io.Audio.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + audio: Input.Audio, + duration: int, + seed: int, + steps: int, + mask_start: int, + mask_end: int, + ) -> comfy_io.NodeOutput: + validate_string(prompt, max_length=10000) + if mask_end <= mask_start: + raise ValueError(f"Value of mask_end({mask_end}) should be greater then mask_start({mask_start})") + validate_audio_duration(audio, 6, 190) + + payload = StabilityAudioInpaintRequest( + prompt=prompt, + model=model, + duration=duration, + seed=seed, + steps=steps, + mask_start=mask_start, + mask_end=mask_end, + ) + operation = SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/stability/v2beta/audio/stable-audio-2/inpaint", + method=HttpMethod.POST, + request_model=StabilityAudioInpaintRequest, + response_model=StabilityAudioResponse, + ), + request=payload, + content_type="multipart/form-data", + files={"audio": audio_input_to_mp3(audio)}, + auth_kwargs={ + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + }, + ) + response_api = await operation.execute() + if not response_api.audio: + raise ValueError("No audio file was received in response.") + return comfy_io.NodeOutput(audio_bytes_to_audio_input(base64.b64decode(response_api.audio))) + + +class StabilityExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + StabilityStableImageUltraNode, + StabilityStableImageSD_3_5Node, + StabilityUpscaleConservativeNode, + StabilityUpscaleCreativeNode, + StabilityUpscaleFastNode, + StabilityTextToAudio, + StabilityAudioToAudio, + StabilityAudioInpaint, + ] + + +async def comfy_entrypoint() -> StabilityExtension: + return StabilityExtension() diff --git a/comfy_api_nodes/nodes_tripo.py b/comfy_api_nodes/nodes_tripo.py new file mode 100644 index 0000000000000000000000000000000000000000..d08cf9007655f1c6a133d3960f3a139a3e62a1a1 --- /dev/null +++ b/comfy_api_nodes/nodes_tripo.py @@ -0,0 +1,581 @@ +import os +from folder_paths import get_output_directory +from comfy_api_nodes.mapper_utils import model_field_to_node_input +from comfy.comfy_types.node_typing import IO +from comfy_api_nodes.apis import ( + TripoOrientation, + TripoModelVersion, +) +from comfy_api_nodes.apis.tripo_api import ( + TripoTaskType, + TripoStyle, + TripoFileReference, + TripoFileEmptyReference, + TripoUrlReference, + TripoTaskResponse, + TripoTaskStatus, + TripoTextToModelRequest, + TripoImageToModelRequest, + TripoMultiviewToModelRequest, + TripoTextureModelRequest, + TripoRefineModelRequest, + TripoAnimateRigRequest, + TripoAnimateRetargetRequest, + TripoConvertModelRequest, +) + +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import ( + upload_images_to_comfyapi, + download_url_to_bytesio, +) + + +async def upload_image_to_tripo(image, **kwargs): + urls = await upload_images_to_comfyapi(image, max_images=1, auth_kwargs=kwargs) + return TripoFileReference(TripoUrlReference(url=urls[0], type="jpeg")) + +def get_model_url_from_response(response: TripoTaskResponse) -> str: + if response.data is not None: + for key in ["pbr_model", "model", "base_model"]: + if getattr(response.data.output, key, None) is not None: + return getattr(response.data.output, key) + raise RuntimeError(f"Failed to get model url from response: {response}") + + +async def poll_until_finished( + kwargs: dict[str, str], + response: TripoTaskResponse, +) -> tuple[str, str]: + """Polls the Tripo API endpoint until the task reaches a terminal state, then returns the response.""" + if response.code != 0: + raise RuntimeError(f"Failed to generate mesh: {response.error}") + task_id = response.data.task_id + response_poll = await PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/tripo/v2/openapi/task/{task_id}", + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=TripoTaskResponse, + ), + completed_statuses=[TripoTaskStatus.SUCCESS], + failed_statuses=[ + TripoTaskStatus.FAILED, + TripoTaskStatus.CANCELLED, + TripoTaskStatus.UNKNOWN, + TripoTaskStatus.BANNED, + TripoTaskStatus.EXPIRED, + ], + status_extractor=lambda x: x.data.status, + auth_kwargs=kwargs, + node_id=kwargs["unique_id"], + result_url_extractor=get_model_url_from_response, + progress_extractor=lambda x: x.data.progress, + ).execute() + if response_poll.data.status == TripoTaskStatus.SUCCESS: + url = get_model_url_from_response(response_poll) + bytesio = await download_url_to_bytesio(url) + # Save the downloaded model file + model_file = f"tripo_model_{task_id}.glb" + with open(os.path.join(get_output_directory(), model_file), "wb") as f: + f.write(bytesio.getvalue()) + return model_file, task_id + raise RuntimeError(f"Failed to generate mesh: {response_poll}") + + +class TripoTextToModelNode: + """ + Generates 3D models synchronously based on a text prompt using Tripo's API. + """ + AVERAGE_DURATION = 80 + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": ("STRING", {"multiline": True}), + }, + "optional": { + "negative_prompt": ("STRING", {"multiline": True}), + "model_version": model_field_to_node_input(IO.COMBO, TripoTextToModelRequest, "model_version", enum_type=TripoModelVersion), + "style": model_field_to_node_input(IO.COMBO, TripoTextToModelRequest, "style", enum_type=TripoStyle, default="None"), + "texture": ("BOOLEAN", {"default": True}), + "pbr": ("BOOLEAN", {"default": True}), + "image_seed": ("INT", {"default": 42}), + "model_seed": ("INT", {"default": 42}), + "texture_seed": ("INT", {"default": 42}), + "texture_quality": (["standard", "detailed"], {"default": "standard"}), + "face_limit": ("INT", {"min": -1, "max": 500000, "default": -1}), + "quad": ("BOOLEAN", {"default": False}) + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("STRING", "MODEL_TASK_ID",) + RETURN_NAMES = ("model_file", "model task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + + async def generate_mesh(self, prompt, negative_prompt=None, model_version=None, style=None, texture=None, pbr=None, image_seed=None, model_seed=None, texture_seed=None, texture_quality=None, face_limit=None, quad=None, **kwargs): + style_enum = None if style == "None" else style + if not prompt: + raise RuntimeError("Prompt is required") + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoTextToModelRequest, + response_model=TripoTaskResponse, + ), + request=TripoTextToModelRequest( + type=TripoTaskType.TEXT_TO_MODEL, + prompt=prompt, + negative_prompt=negative_prompt if negative_prompt else None, + model_version=model_version, + style=style_enum, + texture=texture, + pbr=pbr, + image_seed=image_seed, + model_seed=model_seed, + texture_seed=texture_seed, + texture_quality=texture_quality, + face_limit=face_limit, + auto_size=True, + quad=quad + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoImageToModelNode: + """ + Generates 3D models synchronously based on a single image using Tripo's API. + """ + AVERAGE_DURATION = 80 + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + }, + "optional": { + "model_version": model_field_to_node_input(IO.COMBO, TripoImageToModelRequest, "model_version", enum_type=TripoModelVersion), + "style": model_field_to_node_input(IO.COMBO, TripoTextToModelRequest, "style", enum_type=TripoStyle, default="None"), + "texture": ("BOOLEAN", {"default": True}), + "pbr": ("BOOLEAN", {"default": True}), + "model_seed": ("INT", {"default": 42}), + "orientation": model_field_to_node_input(IO.COMBO, TripoImageToModelRequest, "orientation", enum_type=TripoOrientation), + "texture_seed": ("INT", {"default": 42}), + "texture_quality": (["standard", "detailed"], {"default": "standard"}), + "texture_alignment": (["original_image", "geometry"], {"default": "original_image"}), + "face_limit": ("INT", {"min": -1, "max": 500000, "default": -1}), + "quad": ("BOOLEAN", {"default": False}) + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("STRING", "MODEL_TASK_ID",) + RETURN_NAMES = ("model_file", "model task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + + async def generate_mesh(self, image, model_version=None, style=None, texture=None, pbr=None, model_seed=None, orientation=None, texture_alignment=None, texture_seed=None, texture_quality=None, face_limit=None, quad=None, **kwargs): + style_enum = None if style == "None" else style + if image is None: + raise RuntimeError("Image is required") + tripo_file = await upload_image_to_tripo(image, **kwargs) + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoImageToModelRequest, + response_model=TripoTaskResponse, + ), + request=TripoImageToModelRequest( + type=TripoTaskType.IMAGE_TO_MODEL, + file=tripo_file, + model_version=model_version, + style=style_enum, + texture=texture, + pbr=pbr, + model_seed=model_seed, + orientation=orientation, + texture_alignment=texture_alignment, + texture_seed=texture_seed, + texture_quality=texture_quality, + face_limit=face_limit, + auto_size=True, + quad=quad + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoMultiviewToModelNode: + """ + Generates 3D models synchronously based on up to four images (front, left, back, right) using Tripo's API. + """ + AVERAGE_DURATION = 80 + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + }, + "optional": { + "image_left": ("IMAGE",), + "image_back": ("IMAGE",), + "image_right": ("IMAGE",), + "model_version": model_field_to_node_input(IO.COMBO, TripoMultiviewToModelRequest, "model_version", enum_type=TripoModelVersion), + "orientation": model_field_to_node_input(IO.COMBO, TripoImageToModelRequest, "orientation", enum_type=TripoOrientation), + "texture": ("BOOLEAN", {"default": True}), + "pbr": ("BOOLEAN", {"default": True}), + "model_seed": ("INT", {"default": 42}), + "texture_seed": ("INT", {"default": 42}), + "texture_quality": (["standard", "detailed"], {"default": "standard"}), + "texture_alignment": (["original_image", "geometry"], {"default": "original_image"}), + "face_limit": ("INT", {"min": -1, "max": 500000, "default": -1}), + "quad": ("BOOLEAN", {"default": False}) + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("STRING", "MODEL_TASK_ID",) + RETURN_NAMES = ("model_file", "model task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + + async def generate_mesh(self, image, image_left=None, image_back=None, image_right=None, model_version=None, orientation=None, texture=None, pbr=None, model_seed=None, texture_seed=None, texture_quality=None, texture_alignment=None, face_limit=None, quad=None, **kwargs): + if image is None: + raise RuntimeError("front image for multiview is required") + images = [] + image_dict = { + "image": image, + "image_left": image_left, + "image_back": image_back, + "image_right": image_right + } + if image_left is None and image_back is None and image_right is None: + raise RuntimeError("At least one of left, back, or right image must be provided for multiview") + for image_name in ["image", "image_left", "image_back", "image_right"]: + image_ = image_dict[image_name] + if image_ is not None: + tripo_file = await upload_image_to_tripo(image_, **kwargs) + images.append(tripo_file) + else: + images.append(TripoFileEmptyReference()) + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoMultiviewToModelRequest, + response_model=TripoTaskResponse, + ), + request=TripoMultiviewToModelRequest( + type=TripoTaskType.MULTIVIEW_TO_MODEL, + files=images, + model_version=model_version, + orientation=orientation, + texture=texture, + pbr=pbr, + model_seed=model_seed, + texture_seed=texture_seed, + texture_quality=texture_quality, + texture_alignment=texture_alignment, + face_limit=face_limit, + quad=quad, + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoTextureNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model_task_id": ("MODEL_TASK_ID",), + }, + "optional": { + "texture": ("BOOLEAN", {"default": True}), + "pbr": ("BOOLEAN", {"default": True}), + "texture_seed": ("INT", {"default": 42}), + "texture_quality": (["standard", "detailed"], {"default": "standard"}), + "texture_alignment": (["original_image", "geometry"], {"default": "original_image"}), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("STRING", "MODEL_TASK_ID",) + RETURN_NAMES = ("model_file", "model task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + AVERAGE_DURATION = 80 + + async def generate_mesh(self, model_task_id, texture=None, pbr=None, texture_seed=None, texture_quality=None, texture_alignment=None, **kwargs): + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoTextureModelRequest, + response_model=TripoTaskResponse, + ), + request=TripoTextureModelRequest( + original_model_task_id=model_task_id, + texture=texture, + pbr=pbr, + texture_seed=texture_seed, + texture_quality=texture_quality, + texture_alignment=texture_alignment + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoRefineNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model_task_id": ("MODEL_TASK_ID", { + "tooltip": "Must be a v1.4 Tripo model" + }), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + DESCRIPTION = "Refine a draft model created by v1.4 Tripo models only." + + RETURN_TYPES = ("STRING", "MODEL_TASK_ID",) + RETURN_NAMES = ("model_file", "model task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + AVERAGE_DURATION = 240 + + async def generate_mesh(self, model_task_id, **kwargs): + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoRefineModelRequest, + response_model=TripoTaskResponse, + ), + request=TripoRefineModelRequest( + draft_model_task_id=model_task_id + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoRigNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "original_model_task_id": ("MODEL_TASK_ID",), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("STRING", "RIG_TASK_ID") + RETURN_NAMES = ("model_file", "rig task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + AVERAGE_DURATION = 180 + + async def generate_mesh(self, original_model_task_id, **kwargs): + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoAnimateRigRequest, + response_model=TripoTaskResponse, + ), + request=TripoAnimateRigRequest( + original_model_task_id=original_model_task_id, + out_format="glb", + spec="tripo" + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoRetargetNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "original_model_task_id": ("RIG_TASK_ID",), + "animation": ([ + "preset:idle", + "preset:walk", + "preset:climb", + "preset:jump", + "preset:slash", + "preset:shoot", + "preset:hurt", + "preset:fall", + "preset:turn", + ],), + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("STRING", "RETARGET_TASK_ID") + RETURN_NAMES = ("model_file", "retarget task_id") + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + AVERAGE_DURATION = 30 + + async def generate_mesh(self, animation, original_model_task_id, **kwargs): + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoAnimateRetargetRequest, + response_model=TripoTaskResponse, + ), + request=TripoAnimateRetargetRequest( + original_model_task_id=original_model_task_id, + animation=animation, + out_format="glb", + bake_animation=True + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +class TripoConversionNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "original_model_task_id": ("MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID",), + "format": (["GLTF", "USDZ", "FBX", "OBJ", "STL", "3MF"],), + }, + "optional": { + "quad": ("BOOLEAN", {"default": False}), + "face_limit": ("INT", {"min": -1, "max": 500000, "default": -1}), + "texture_size": ("INT", {"min": 128, "max": 4096, "default": 4096}), + "texture_format": (["BMP", "DPX", "HDR", "JPEG", "OPEN_EXR", "PNG", "TARGA", "TIFF", "WEBP"], {"default": "JPEG"}) + }, + "hidden": { + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", + "unique_id": "UNIQUE_ID", + }, + } + + @classmethod + def VALIDATE_INPUTS(cls, input_types): + # The min and max of input1 and input2 are still validated because + # we didn't take `input1` or `input2` as arguments + if input_types["original_model_task_id"] not in ("MODEL_TASK_ID", "RIG_TASK_ID", "RETARGET_TASK_ID"): + return "original_model_task_id must be MODEL_TASK_ID, RIG_TASK_ID or RETARGET_TASK_ID type" + return True + + RETURN_TYPES = () + FUNCTION = "generate_mesh" + CATEGORY = "api node/3d/Tripo" + API_NODE = True + OUTPUT_NODE = True + AVERAGE_DURATION = 30 + + async def generate_mesh(self, original_model_task_id, format, quad, face_limit, texture_size, texture_format, **kwargs): + if not original_model_task_id: + raise RuntimeError("original_model_task_id is required") + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path="/proxy/tripo/v2/openapi/task", + method=HttpMethod.POST, + request_model=TripoConvertModelRequest, + response_model=TripoTaskResponse, + ), + request=TripoConvertModelRequest( + original_model_task_id=original_model_task_id, + format=format, + quad=quad if quad else None, + face_limit=face_limit if face_limit != -1 else None, + texture_size=texture_size if texture_size != 4096 else None, + texture_format=texture_format if texture_format != "JPEG" else None + ), + auth_kwargs=kwargs, + ).execute() + return await poll_until_finished(kwargs, response) + + +NODE_CLASS_MAPPINGS = { + "TripoTextToModelNode": TripoTextToModelNode, + "TripoImageToModelNode": TripoImageToModelNode, + "TripoMultiviewToModelNode": TripoMultiviewToModelNode, + "TripoTextureNode": TripoTextureNode, + "TripoRefineNode": TripoRefineNode, + "TripoRigNode": TripoRigNode, + "TripoRetargetNode": TripoRetargetNode, + "TripoConversionNode": TripoConversionNode, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "TripoTextToModelNode": "Tripo: Text to Model", + "TripoImageToModelNode": "Tripo: Image to Model", + "TripoMultiviewToModelNode": "Tripo: Multiview to Model", + "TripoTextureNode": "Tripo: Texture model", + "TripoRefineNode": "Tripo: Refine Draft model", + "TripoRigNode": "Tripo: Rig model", + "TripoRetargetNode": "Tripo: Retarget rigged model", + "TripoConversionNode": "Tripo: Convert model", +} diff --git a/comfy_api_nodes/nodes_veo2.py b/comfy_api_nodes/nodes_veo2.py new file mode 100644 index 0000000000000000000000000000000000000000..251aecd42bf7f8dd36ef74e1104924d9d7719afd --- /dev/null +++ b/comfy_api_nodes/nodes_veo2.py @@ -0,0 +1,421 @@ +import logging +import base64 +import aiohttp +import torch +from io import BytesIO +from typing import Optional +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io as comfy_io +from comfy_api.input_impl.video_types import VideoFromFile +from comfy_api_nodes.apis import ( + VeoGenVidRequest, + VeoGenVidResponse, + VeoGenVidPollRequest, + VeoGenVidPollResponse, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, +) + +from comfy_api_nodes.apinode_utils import ( + downscale_image_tensor, + tensor_to_base64_string, +) + +AVERAGE_DURATION_VIDEO_GEN = 32 + +def convert_image_to_base64(image: torch.Tensor): + if image is None: + return None + + scaled_image = downscale_image_tensor(image, total_pixels=2048*2048) + return tensor_to_base64_string(scaled_image) + + +def get_video_url_from_response(poll_response: VeoGenVidPollResponse) -> Optional[str]: + if ( + poll_response.response + and hasattr(poll_response.response, "videos") + and poll_response.response.videos + and len(poll_response.response.videos) > 0 + ): + video = poll_response.response.videos[0] + else: + return None + if hasattr(video, "gcsUri") and video.gcsUri: + return str(video.gcsUri) + return None + + +class VeoVideoGenerationNode(comfy_io.ComfyNode): + """ + Generates videos from text prompts using Google's Veo API. + + This node can create videos from text descriptions and optional image inputs, + with control over parameters like aspect ratio, duration, and more. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="VeoVideoGenerationNode", + display_name="Google Veo 2 Video Generation", + category="api node/video/Veo", + description="Generates videos from text prompts using Google's Veo 2 API", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text description of the video", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=["16:9", "9:16"], + default="16:9", + tooltip="Aspect ratio of the output video", + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default="", + tooltip="Negative text prompt to guide what to avoid in the video", + optional=True, + ), + comfy_io.Int.Input( + "duration_seconds", + default=5, + min=5, + max=8, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Duration of the output video in seconds", + optional=True, + ), + comfy_io.Boolean.Input( + "enhance_prompt", + default=True, + tooltip="Whether to enhance the prompt with AI assistance", + optional=True, + ), + comfy_io.Combo.Input( + "person_generation", + options=["ALLOW", "BLOCK"], + default="ALLOW", + tooltip="Whether to allow generating people in the video", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=0xFFFFFFFF, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed for video generation (0 for random)", + optional=True, + ), + comfy_io.Image.Input( + "image", + tooltip="Optional reference image to guide video generation", + optional=True, + ), + comfy_io.Combo.Input( + "model", + options=["veo-2.0-generate-001"], + default="veo-2.0-generate-001", + tooltip="Veo 2 model to use for video generation", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + prompt, + aspect_ratio="16:9", + negative_prompt="", + duration_seconds=5, + enhance_prompt=True, + person_generation="ALLOW", + seed=0, + image=None, + model="veo-2.0-generate-001", + generate_audio=False, + ): + # Prepare the instances for the request + instances = [] + + instance = { + "prompt": prompt + } + + # Add image if provided + if image is not None: + image_base64 = convert_image_to_base64(image) + if image_base64: + instance["image"] = { + "bytesBase64Encoded": image_base64, + "mimeType": "image/png" + } + + instances.append(instance) + + # Create parameters dictionary + parameters = { + "aspectRatio": aspect_ratio, + "personGeneration": person_generation, + "durationSeconds": duration_seconds, + "enhancePrompt": enhance_prompt, + } + + # Add optional parameters if provided + if negative_prompt: + parameters["negativePrompt"] = negative_prompt + if seed > 0: + parameters["seed"] = seed + # Only add generateAudio for Veo 3 models + if "veo-3.0" in model: + parameters["generateAudio"] = generate_audio + + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + # Initial request to start video generation + initial_operation = SynchronousOperation( + endpoint=ApiEndpoint( + path=f"/proxy/veo/{model}/generate", + method=HttpMethod.POST, + request_model=VeoGenVidRequest, + response_model=VeoGenVidResponse + ), + request=VeoGenVidRequest( + instances=instances, + parameters=parameters + ), + auth_kwargs=auth, + ) + + initial_response = await initial_operation.execute() + operation_name = initial_response.name + + logging.info(f"Veo generation started with operation name: {operation_name}") + + # Define status extractor function + def status_extractor(response): + # Only return "completed" if the operation is done, regardless of success or failure + # We'll check for errors after polling completes + return "completed" if response.done else "pending" + + # Define progress extractor function + def progress_extractor(response): + # Could be enhanced if the API provides progress information + return None + + # Define the polling operation + poll_operation = PollingOperation( + poll_endpoint=ApiEndpoint( + path=f"/proxy/veo/{model}/poll", + method=HttpMethod.POST, + request_model=VeoGenVidPollRequest, + response_model=VeoGenVidPollResponse + ), + completed_statuses=["completed"], + failed_statuses=[], # No failed statuses, we'll handle errors after polling + status_extractor=status_extractor, + progress_extractor=progress_extractor, + request=VeoGenVidPollRequest( + operationName=operation_name + ), + auth_kwargs=auth, + poll_interval=5.0, + result_url_extractor=get_video_url_from_response, + node_id=cls.hidden.unique_id, + estimated_duration=AVERAGE_DURATION_VIDEO_GEN, + ) + + # Execute the polling operation + poll_response = await poll_operation.execute() + + # Now check for errors in the final response + # Check for error in poll response + if hasattr(poll_response, 'error') and poll_response.error: + error_message = f"Veo API error: {poll_response.error.message} (code: {poll_response.error.code})" + logging.error(error_message) + raise Exception(error_message) + + # Check for RAI filtered content + if (hasattr(poll_response.response, 'raiMediaFilteredCount') and + poll_response.response.raiMediaFilteredCount > 0): + + # Extract reason message if available + if (hasattr(poll_response.response, 'raiMediaFilteredReasons') and + poll_response.response.raiMediaFilteredReasons): + reason = poll_response.response.raiMediaFilteredReasons[0] + error_message = f"Content filtered by Google's Responsible AI practices: {reason} ({poll_response.response.raiMediaFilteredCount} videos filtered.)" + else: + error_message = f"Content filtered by Google's Responsible AI practices ({poll_response.response.raiMediaFilteredCount} videos filtered.)" + + logging.error(error_message) + raise Exception(error_message) + + # Extract video data + if poll_response.response and hasattr(poll_response.response, 'videos') and poll_response.response.videos and len(poll_response.response.videos) > 0: + video = poll_response.response.videos[0] + + # Check if video is provided as base64 or URL + if hasattr(video, 'bytesBase64Encoded') and video.bytesBase64Encoded: + # Decode base64 string to bytes + video_data = base64.b64decode(video.bytesBase64Encoded) + elif hasattr(video, 'gcsUri') and video.gcsUri: + # Download from URL + async with aiohttp.ClientSession() as session: + async with session.get(video.gcsUri) as video_response: + video_data = await video_response.content.read() + else: + raise Exception("Video returned but no data or URL was provided") + else: + raise Exception("Video generation completed but no video was returned") + + if not video_data: + raise Exception("No video data was returned") + + logging.info("Video generation completed successfully") + + # Convert video data to BytesIO object + video_io = BytesIO(video_data) + + # Return VideoFromFile object + return comfy_io.NodeOutput(VideoFromFile(video_io)) + + +class Veo3VideoGenerationNode(VeoVideoGenerationNode): + """ + Generates videos from text prompts using Google's Veo 3 API. + + Supported models: + - veo-3.0-generate-001 + - veo-3.0-fast-generate-001 + + This node extends the base Veo node with Veo 3 specific features including + audio generation and fixed 8-second duration. + """ + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="Veo3VideoGenerationNode", + display_name="Google Veo 3 Video Generation", + category="api node/video/Veo", + description="Generates videos from text prompts using Google's Veo 3 API", + inputs=[ + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="Text description of the video", + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=["16:9", "9:16"], + default="16:9", + tooltip="Aspect ratio of the output video", + ), + comfy_io.String.Input( + "negative_prompt", + multiline=True, + default="", + tooltip="Negative text prompt to guide what to avoid in the video", + optional=True, + ), + comfy_io.Int.Input( + "duration_seconds", + default=8, + min=8, + max=8, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Duration of the output video in seconds (Veo 3 only supports 8 seconds)", + optional=True, + ), + comfy_io.Boolean.Input( + "enhance_prompt", + default=True, + tooltip="Whether to enhance the prompt with AI assistance", + optional=True, + ), + comfy_io.Combo.Input( + "person_generation", + options=["ALLOW", "BLOCK"], + default="ALLOW", + tooltip="Whether to allow generating people in the video", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=0xFFFFFFFF, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed for video generation (0 for random)", + optional=True, + ), + comfy_io.Image.Input( + "image", + tooltip="Optional reference image to guide video generation", + optional=True, + ), + comfy_io.Combo.Input( + "model", + options=["veo-3.0-generate-001", "veo-3.0-fast-generate-001"], + default="veo-3.0-generate-001", + tooltip="Veo 3 model to use for video generation", + optional=True, + ), + comfy_io.Boolean.Input( + "generate_audio", + default=False, + tooltip="Generate audio for the video. Supported by all Veo 3 models.", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + +class VeoExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + VeoVideoGenerationNode, + Veo3VideoGenerationNode, + ] + +async def comfy_entrypoint() -> VeoExtension: + return VeoExtension() diff --git a/comfy_api_nodes/nodes_vidu.py b/comfy_api_nodes/nodes_vidu.py new file mode 100644 index 0000000000000000000000000000000000000000..2f441948c2554d50a13b6894ff18bd038741953a --- /dev/null +++ b/comfy_api_nodes/nodes_vidu.py @@ -0,0 +1,622 @@ +import logging +from enum import Enum +from typing import Any, Callable, Optional, Literal, TypeVar +from typing_extensions import override + +import torch +from pydantic import BaseModel, Field + +from comfy_api.latest import ComfyExtension, io as comfy_io +from comfy_api_nodes.util.validation_utils import ( + validate_aspect_ratio_closeness, + validate_image_dimensions, + validate_image_aspect_ratio_range, + get_number_of_images, +) +from comfy_api_nodes.apis.client import ( + ApiEndpoint, + HttpMethod, + SynchronousOperation, + PollingOperation, + EmptyRequest, +) +from comfy_api_nodes.apinode_utils import download_url_to_video_output, upload_images_to_comfyapi + + +VIDU_TEXT_TO_VIDEO = "/proxy/vidu/text2video" +VIDU_IMAGE_TO_VIDEO = "/proxy/vidu/img2video" +VIDU_REFERENCE_VIDEO = "/proxy/vidu/reference2video" +VIDU_START_END_VIDEO = "/proxy/vidu/start-end2video" +VIDU_GET_GENERATION_STATUS = "/proxy/vidu/tasks/%s/creations" + +R = TypeVar("R") + +class VideoModelName(str, Enum): + vidu_q1 = 'viduq1' + + +class AspectRatio(str, Enum): + r_16_9 = "16:9" + r_9_16 = "9:16" + r_1_1 = "1:1" + + +class Resolution(str, Enum): + r_1080p = "1080p" + + +class MovementAmplitude(str, Enum): + auto = "auto" + small = "small" + medium = "medium" + large = "large" + + +class TaskCreationRequest(BaseModel): + model: VideoModelName = VideoModelName.vidu_q1 + prompt: Optional[str] = Field(None, max_length=1500) + duration: Optional[Literal[5]] = 5 + seed: Optional[int] = Field(0, ge=0, le=2147483647) + aspect_ratio: Optional[AspectRatio] = AspectRatio.r_16_9 + resolution: Optional[Resolution] = Resolution.r_1080p + movement_amplitude: Optional[MovementAmplitude] = MovementAmplitude.auto + images: Optional[list[str]] = Field(None, description="Base64 encoded string or image URL") + + +class TaskStatus(str, Enum): + created = "created" + queueing = "queueing" + processing = "processing" + success = "success" + failed = "failed" + + +class TaskCreationResponse(BaseModel): + task_id: str = Field(...) + state: TaskStatus = Field(...) + created_at: str = Field(...) + code: Optional[int] = Field(None, description="Error code") + + +class TaskResult(BaseModel): + id: str = Field(..., description="Creation id") + url: str = Field(..., description="The URL of the generated results, valid for one hour") + cover_url: str = Field(..., description="The cover URL of the generated results, valid for one hour") + + +class TaskStatusResponse(BaseModel): + state: TaskStatus = Field(...) + err_code: Optional[str] = Field(None) + creations: list[TaskResult] = Field(..., description="Generated results") + + +async def poll_until_finished( + auth_kwargs: dict[str, str], + api_endpoint: ApiEndpoint[Any, R], + result_url_extractor: Optional[Callable[[R], str]] = None, + estimated_duration: Optional[int] = None, + node_id: Optional[str] = None, +) -> R: + return await PollingOperation( + poll_endpoint=api_endpoint, + completed_statuses=[TaskStatus.success.value], + failed_statuses=[TaskStatus.failed.value], + status_extractor=lambda response: response.state.value, + auth_kwargs=auth_kwargs, + result_url_extractor=result_url_extractor, + estimated_duration=estimated_duration, + node_id=node_id, + poll_interval=16.0, + max_poll_attempts=256, + ).execute() + + +def get_video_url_from_response(response) -> Optional[str]: + if response.creations: + return response.creations[0].url + return None + + +def get_video_from_response(response) -> TaskResult: + if not response.creations: + error_msg = f"Vidu request does not contain results. State: {response.state}, Error Code: {response.err_code}" + logging.info(error_msg) + raise RuntimeError(error_msg) + logging.info("Vidu task %s succeeded. Video URL: %s", response.creations[0].id, response.creations[0].url) + return response.creations[0] + + +async def execute_task( + vidu_endpoint: str, + auth_kwargs: Optional[dict[str, str]], + payload: TaskCreationRequest, + estimated_duration: int, + node_id: str, +) -> R: + response = await SynchronousOperation( + endpoint=ApiEndpoint( + path=vidu_endpoint, + method=HttpMethod.POST, + request_model=TaskCreationRequest, + response_model=TaskCreationResponse, + ), + request=payload, + auth_kwargs=auth_kwargs, + ).execute() + if response.state == TaskStatus.failed: + error_msg = f"Vidu request failed. Code: {response.code}" + logging.error(error_msg) + raise RuntimeError(error_msg) + return await poll_until_finished( + auth_kwargs, + ApiEndpoint( + path=VIDU_GET_GENERATION_STATUS % response.task_id, + method=HttpMethod.GET, + request_model=EmptyRequest, + response_model=TaskStatusResponse, + ), + result_url_extractor=get_video_url_from_response, + estimated_duration=estimated_duration, + node_id=node_id, + ) + + +class ViduTextToVideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ViduTextToVideoNode", + display_name="Vidu Text To Video Generation", + category="api node/video/Vidu", + description="Generate video from text prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in VideoModelName], + default=VideoModelName.vidu_q1.value, + tooltip="Model name", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="A textual description for video generation", + ), + comfy_io.Int.Input( + "duration", + default=5, + min=5, + max=5, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Duration of the output video in seconds", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed for video generation (0 for random)", + optional=True, + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=[model.value for model in AspectRatio], + default=AspectRatio.r_16_9.value, + tooltip="The aspect ratio of the output video", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=[model.value for model in Resolution], + default=Resolution.r_1080p.value, + tooltip="Supported values may vary by model & duration", + optional=True, + ), + comfy_io.Combo.Input( + "movement_amplitude", + options=[model.value for model in MovementAmplitude], + default=MovementAmplitude.auto.value, + tooltip="The movement amplitude of objects in the frame", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + prompt: str, + duration: int, + seed: int, + aspect_ratio: str, + resolution: str, + movement_amplitude: str, + ) -> comfy_io.NodeOutput: + if not prompt: + raise ValueError("The prompt field is required and cannot be empty.") + payload = TaskCreationRequest( + model_name=model, + prompt=prompt, + duration=duration, + seed=seed, + aspect_ratio=aspect_ratio, + resolution=resolution, + movement_amplitude=movement_amplitude, + ) + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + results = await execute_task(VIDU_TEXT_TO_VIDEO, auth, payload, 320, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_url_to_video_output(get_video_from_response(results).url)) + + +class ViduImageToVideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ViduImageToVideoNode", + display_name="Vidu Image To Video Generation", + category="api node/video/Vidu", + description="Generate video from image and optional prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in VideoModelName], + default=VideoModelName.vidu_q1.value, + tooltip="Model name", + ), + comfy_io.Image.Input( + "image", + tooltip="An image to be used as the start frame of the generated video", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + default="", + tooltip="A textual description for video generation", + optional=True, + ), + comfy_io.Int.Input( + "duration", + default=5, + min=5, + max=5, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Duration of the output video in seconds", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed for video generation (0 for random)", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=[model.value for model in Resolution], + default=Resolution.r_1080p.value, + tooltip="Supported values may vary by model & duration", + optional=True, + ), + comfy_io.Combo.Input( + "movement_amplitude", + options=[model.value for model in MovementAmplitude], + default=MovementAmplitude.auto.value, + tooltip="The movement amplitude of objects in the frame", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + image: torch.Tensor, + prompt: str, + duration: int, + seed: int, + resolution: str, + movement_amplitude: str, + ) -> comfy_io.NodeOutput: + if get_number_of_images(image) > 1: + raise ValueError("Only one input image is allowed.") + validate_image_aspect_ratio_range(image, (1, 4), (4, 1)) + payload = TaskCreationRequest( + model_name=model, + prompt=prompt, + duration=duration, + seed=seed, + resolution=resolution, + movement_amplitude=movement_amplitude, + ) + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + payload.images = await upload_images_to_comfyapi( + image, + max_images=1, + mime_type="image/png", + auth_kwargs=auth, + ) + results = await execute_task(VIDU_IMAGE_TO_VIDEO, auth, payload, 120, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_url_to_video_output(get_video_from_response(results).url)) + + +class ViduReferenceVideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ViduReferenceVideoNode", + display_name="Vidu Reference To Video Generation", + category="api node/video/Vidu", + description="Generate video from multiple images and prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in VideoModelName], + default=VideoModelName.vidu_q1.value, + tooltip="Model name", + ), + comfy_io.Image.Input( + "images", + tooltip="Images to use as references to generate a video with consistent subjects (max 7 images).", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="A textual description for video generation", + ), + comfy_io.Int.Input( + "duration", + default=5, + min=5, + max=5, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Duration of the output video in seconds", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed for video generation (0 for random)", + optional=True, + ), + comfy_io.Combo.Input( + "aspect_ratio", + options=[model.value for model in AspectRatio], + default=AspectRatio.r_16_9.value, + tooltip="The aspect ratio of the output video", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=[model.value for model in Resolution], + default=Resolution.r_1080p.value, + tooltip="Supported values may vary by model & duration", + optional=True, + ), + comfy_io.Combo.Input( + "movement_amplitude", + options=[model.value for model in MovementAmplitude], + default=MovementAmplitude.auto.value, + tooltip="The movement amplitude of objects in the frame", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + images: torch.Tensor, + prompt: str, + duration: int, + seed: int, + aspect_ratio: str, + resolution: str, + movement_amplitude: str, + ) -> comfy_io.NodeOutput: + if not prompt: + raise ValueError("The prompt field is required and cannot be empty.") + a = get_number_of_images(images) + if a > 7: + raise ValueError("Too many images, maximum allowed is 7.") + for image in images: + validate_image_aspect_ratio_range(image, (1, 4), (4, 1)) + validate_image_dimensions(image, min_width=128, min_height=128) + payload = TaskCreationRequest( + model_name=model, + prompt=prompt, + duration=duration, + seed=seed, + aspect_ratio=aspect_ratio, + resolution=resolution, + movement_amplitude=movement_amplitude, + ) + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + payload.images = await upload_images_to_comfyapi( + images, + max_images=7, + mime_type="image/png", + auth_kwargs=auth, + ) + results = await execute_task(VIDU_REFERENCE_VIDEO, auth, payload, 120, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_url_to_video_output(get_video_from_response(results).url)) + + +class ViduStartEndToVideoNode(comfy_io.ComfyNode): + + @classmethod + def define_schema(cls): + return comfy_io.Schema( + node_id="ViduStartEndToVideoNode", + display_name="Vidu Start End To Video Generation", + category="api node/video/Vidu", + description="Generate a video from start and end frames and a prompt", + inputs=[ + comfy_io.Combo.Input( + "model", + options=[model.value for model in VideoModelName], + default=VideoModelName.vidu_q1.value, + tooltip="Model name", + ), + comfy_io.Image.Input( + "first_frame", + tooltip="Start frame", + ), + comfy_io.Image.Input( + "end_frame", + tooltip="End frame", + ), + comfy_io.String.Input( + "prompt", + multiline=True, + tooltip="A textual description for video generation", + optional=True, + ), + comfy_io.Int.Input( + "duration", + default=5, + min=5, + max=5, + step=1, + display_mode=comfy_io.NumberDisplay.number, + tooltip="Duration of the output video in seconds", + optional=True, + ), + comfy_io.Int.Input( + "seed", + default=0, + min=0, + max=2147483647, + step=1, + display_mode=comfy_io.NumberDisplay.number, + control_after_generate=True, + tooltip="Seed for video generation (0 for random)", + optional=True, + ), + comfy_io.Combo.Input( + "resolution", + options=[model.value for model in Resolution], + default=Resolution.r_1080p.value, + tooltip="Supported values may vary by model & duration", + optional=True, + ), + comfy_io.Combo.Input( + "movement_amplitude", + options=[model.value for model in MovementAmplitude], + default=MovementAmplitude.auto.value, + tooltip="The movement amplitude of objects in the frame", + optional=True, + ), + ], + outputs=[ + comfy_io.Video.Output(), + ], + hidden=[ + comfy_io.Hidden.auth_token_comfy_org, + comfy_io.Hidden.api_key_comfy_org, + comfy_io.Hidden.unique_id, + ], + is_api_node=True, + ) + + @classmethod + async def execute( + cls, + model: str, + first_frame: torch.Tensor, + end_frame: torch.Tensor, + prompt: str, + duration: int, + seed: int, + resolution: str, + movement_amplitude: str, + ) -> comfy_io.NodeOutput: + validate_aspect_ratio_closeness(first_frame, end_frame, min_rel=0.8, max_rel=1.25, strict=False) + payload = TaskCreationRequest( + model_name=model, + prompt=prompt, + duration=duration, + seed=seed, + resolution=resolution, + movement_amplitude=movement_amplitude, + ) + auth = { + "auth_token": cls.hidden.auth_token_comfy_org, + "comfy_api_key": cls.hidden.api_key_comfy_org, + } + payload.images = [ + (await upload_images_to_comfyapi(frame, max_images=1, mime_type="image/png", auth_kwargs=auth))[0] + for frame in (first_frame, end_frame) + ] + results = await execute_task(VIDU_START_END_VIDEO, auth, payload, 96, cls.hidden.unique_id) + return comfy_io.NodeOutput(await download_url_to_video_output(get_video_from_response(results).url)) + + +class ViduExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]: + return [ + ViduTextToVideoNode, + ViduImageToVideoNode, + ViduReferenceVideoNode, + ViduStartEndToVideoNode, + ] + +async def comfy_entrypoint() -> ViduExtension: + return ViduExtension() diff --git a/comfy_api_nodes/redocly-dev.yaml b/comfy_api_nodes/redocly-dev.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d9e3cab70ff18a924faf3f793a71710846beeae5 --- /dev/null +++ b/comfy_api_nodes/redocly-dev.yaml @@ -0,0 +1,10 @@ +# This file is used to filter the Comfy Org OpenAPI spec for schemas related to API Nodes. +# This is used for development purposes to generate stubs for unreleased API endpoints. +apis: + filter: + root: openapi.yaml + decorators: + filter-in: + property: tags + value: ['API Nodes'] + matchStrategy: all diff --git a/comfy_api_nodes/redocly.yaml b/comfy_api_nodes/redocly.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d102345b1ec932577e310f2e07c4e32017c189d5 --- /dev/null +++ b/comfy_api_nodes/redocly.yaml @@ -0,0 +1,10 @@ +# This file is used to filter the Comfy Org OpenAPI spec for schemas related to API Nodes. + +apis: + filter: + root: openapi.yaml + decorators: + filter-in: + property: tags + value: ['API Nodes', 'Released'] + matchStrategy: all diff --git a/comfy_api_nodes/util/__init__.py b/comfy_api_nodes/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/comfy_api_nodes/util/validation_utils.py b/comfy_api_nodes/util/validation_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..ca913e9b3eedc147bb969dab4a27bd7cf25c9edc --- /dev/null +++ b/comfy_api_nodes/util/validation_utils.py @@ -0,0 +1,167 @@ +import logging +from typing import Optional + +import torch +from comfy_api.latest import Input + + +def get_image_dimensions(image: torch.Tensor) -> tuple[int, int]: + if len(image.shape) == 4: + return image.shape[1], image.shape[2] + elif len(image.shape) == 3: + return image.shape[0], image.shape[1] + else: + raise ValueError("Invalid image tensor shape.") + + +def validate_image_dimensions( + image: torch.Tensor, + min_width: Optional[int] = None, + max_width: Optional[int] = None, + min_height: Optional[int] = None, + max_height: Optional[int] = None, +): + height, width = get_image_dimensions(image) + + if min_width is not None and width < min_width: + raise ValueError(f"Image width must be at least {min_width}px, got {width}px") + if max_width is not None and width > max_width: + raise ValueError(f"Image width must be at most {max_width}px, got {width}px") + if min_height is not None and height < min_height: + raise ValueError( + f"Image height must be at least {min_height}px, got {height}px" + ) + if max_height is not None and height > max_height: + raise ValueError(f"Image height must be at most {max_height}px, got {height}px") + + +def validate_image_aspect_ratio( + image: torch.Tensor, + min_aspect_ratio: Optional[float] = None, + max_aspect_ratio: Optional[float] = None, +): + width, height = get_image_dimensions(image) + aspect_ratio = width / height + + if min_aspect_ratio is not None and aspect_ratio < min_aspect_ratio: + raise ValueError( + f"Image aspect ratio must be at least {min_aspect_ratio}, got {aspect_ratio}" + ) + if max_aspect_ratio is not None and aspect_ratio > max_aspect_ratio: + raise ValueError( + f"Image aspect ratio must be at most {max_aspect_ratio}, got {aspect_ratio}" + ) + + +def validate_image_aspect_ratio_range( + image: torch.Tensor, + min_ratio: tuple[float, float], # e.g. (1, 4) + max_ratio: tuple[float, float], # e.g. (4, 1) + *, + strict: bool = True, # True -> (min, max); False -> [min, max] +) -> float: + a1, b1 = min_ratio + a2, b2 = max_ratio + if a1 <= 0 or b1 <= 0 or a2 <= 0 or b2 <= 0: + raise ValueError("Ratios must be positive, like (1, 4) or (4, 1).") + lo, hi = (a1 / b1), (a2 / b2) + if lo > hi: + lo, hi = hi, lo + a1, b1, a2, b2 = a2, b2, a1, b1 # swap only for error text + w, h = get_image_dimensions(image) + if w <= 0 or h <= 0: + raise ValueError(f"Invalid image dimensions: {w}x{h}") + ar = w / h + ok = (lo < ar < hi) if strict else (lo <= ar <= hi) + if not ok: + op = "<" if strict else "≤" + raise ValueError(f"Image aspect ratio {ar:.6g} is outside allowed range: {a1}:{b1} {op} ratio {op} {a2}:{b2}") + return ar + + +def validate_aspect_ratio_closeness( + start_img, + end_img, + min_rel: float, + max_rel: float, + *, + strict: bool = False, # True => exclusive, False => inclusive +) -> None: + w1, h1 = get_image_dimensions(start_img) + w2, h2 = get_image_dimensions(end_img) + if min(w1, h1, w2, h2) <= 0: + raise ValueError("Invalid image dimensions") + ar1 = w1 / h1 + ar2 = w2 / h2 + # Normalize so it is symmetric (no need to check both ar1/ar2 and ar2/ar1) + closeness = max(ar1, ar2) / min(ar1, ar2) + limit = max(max_rel, 1.0 / min_rel) # for 0.8..1.25 this is 1.25 + if (closeness >= limit) if strict else (closeness > limit): + raise ValueError(f"Aspect ratios must be close: start/end={ar1/ar2:.4f}, allowed range {min_rel}–{max_rel}.") + + +def validate_video_dimensions( + video: Input.Video, + min_width: Optional[int] = None, + max_width: Optional[int] = None, + min_height: Optional[int] = None, + max_height: Optional[int] = None, +): + try: + width, height = video.get_dimensions() + except Exception as e: + logging.error("Error getting dimensions of video: %s", e) + return + + if min_width is not None and width < min_width: + raise ValueError(f"Video width must be at least {min_width}px, got {width}px") + if max_width is not None and width > max_width: + raise ValueError(f"Video width must be at most {max_width}px, got {width}px") + if min_height is not None and height < min_height: + raise ValueError( + f"Video height must be at least {min_height}px, got {height}px" + ) + if max_height is not None and height > max_height: + raise ValueError(f"Video height must be at most {max_height}px, got {height}px") + + +def validate_video_duration( + video: Input.Video, + min_duration: Optional[float] = None, + max_duration: Optional[float] = None, +): + try: + duration = video.get_duration() + except Exception as e: + logging.error("Error getting duration of video: %s", e) + return + + epsilon = 0.0001 + if min_duration is not None and min_duration - epsilon > duration: + raise ValueError( + f"Video duration must be at least {min_duration}s, got {duration}s" + ) + if max_duration is not None and duration > max_duration + epsilon: + raise ValueError( + f"Video duration must be at most {max_duration}s, got {duration}s" + ) + + +def get_number_of_images(images): + if isinstance(images, torch.Tensor): + return images.shape[0] if images.ndim >= 4 else 1 + return len(images) + + +def validate_audio_duration( + audio: Input.Audio, + min_duration: Optional[float] = None, + max_duration: Optional[float] = None, +) -> None: + sr = int(audio["sample_rate"]) + dur = int(audio["waveform"].shape[-1]) / sr + eps = 1.0 / sr + if min_duration is not None and dur + eps < min_duration: + raise ValueError(f"Audio duration must be at least {min_duration}s, got {dur + eps:.2f}s") + if max_duration is not None and dur - eps > max_duration: + raise ValueError(f"Audio duration must be at most {max_duration}s, got {dur - eps:.2f}s") diff --git a/comfy_config/config_parser.py b/comfy_config/config_parser.py new file mode 100644 index 0000000000000000000000000000000000000000..8da7bd901f421f3aaa5b620c9595313c30585ae1 --- /dev/null +++ b/comfy_config/config_parser.py @@ -0,0 +1,152 @@ +import os +from pathlib import Path +from typing import Optional + +from pydantic_settings import PydanticBaseSettingsSource, TomlConfigSettingsSource + +from comfy_config.types import ( + ComfyConfig, + ProjectConfig, + PyProjectConfig, + PyProjectSettings +) + +def validate_and_extract_os_classifiers(classifiers: list) -> list: + os_classifiers = [c for c in classifiers if c.startswith("Operating System :: ")] + if not os_classifiers: + return [] + + os_values = [c[len("Operating System :: ") :] for c in os_classifiers] + valid_os_prefixes = {"Microsoft", "POSIX", "MacOS", "OS Independent"} + + for os_value in os_values: + if not any(os_value.startswith(prefix) for prefix in valid_os_prefixes): + return [] + + return os_values + + +def validate_and_extract_accelerator_classifiers(classifiers: list) -> list: + accelerator_classifiers = [c for c in classifiers if c.startswith("Environment ::")] + if not accelerator_classifiers: + return [] + + accelerator_values = [c[len("Environment :: ") :] for c in accelerator_classifiers] + + valid_accelerators = { + "GPU :: NVIDIA CUDA", + "GPU :: AMD ROCm", + "GPU :: Intel Arc", + "NPU :: Huawei Ascend", + "GPU :: Apple Metal", + } + + for accelerator_value in accelerator_values: + if accelerator_value not in valid_accelerators: + return [] + + return accelerator_values + + +""" +Extract configuration from a custom node directory's pyproject.toml file or a Python file. + +This function reads and parses the pyproject.toml file in the specified directory +to extract project and ComfyUI-specific configuration information. If no +pyproject.toml file is found, it creates a minimal configuration using the +folder name as the project name. If a Python file is provided, it uses the +file name (without extension) as the project name. + +Args: + path (str): Path to the directory containing the pyproject.toml file, or + path to a .py file. If pyproject.toml doesn't exist in a directory, + the folder name will be used as the default project name. If a .py + file is provided, the filename (without .py extension) will be used + as the project name. + +Returns: + Optional[PyProjectConfig]: A PyProjectConfig object containing: + - project: Basic project information (name, version, dependencies, etc.) + - tool_comfy: ComfyUI-specific configuration (publisher_id, models, etc.) + Returns None if configuration extraction fails or if the provided file + is not a Python file. + +Notes: + - If pyproject.toml is missing in a directory, creates a default config with folder name + - If a .py file is provided, creates a default config with filename (without extension) + - Returns None for non-Python files + +Example: + >>> from comfy_config import config_parser + >>> # For directory + >>> custom_node_dir = os.path.dirname(os.path.realpath(__file__)) + >>> project_config = config_parser.extract_node_configuration(custom_node_dir) + >>> print(project_config.project.name) # "my_custom_node" or name from pyproject.toml + >>> + >>> # For single-file Python node file + >>> py_file_path = os.path.realpath(__file__) # "/path/to/my_node.py" + >>> project_config = config_parser.extract_node_configuration(py_file_path) + >>> print(project_config.project.name) # "my_node" +""" +def extract_node_configuration(path) -> Optional[PyProjectConfig]: + if os.path.isfile(path): + file_path = Path(path) + + if file_path.suffix.lower() != '.py': + return None + + project_name = file_path.stem + project = ProjectConfig(name=project_name) + comfy = ComfyConfig() + return PyProjectConfig(project=project, tool_comfy=comfy) + + folder_name = os.path.basename(path) + toml_path = Path(path) / "pyproject.toml" + + if not toml_path.exists(): + project = ProjectConfig(name=folder_name) + comfy = ComfyConfig() + return PyProjectConfig(project=project, tool_comfy=comfy) + + raw_settings = load_pyproject_settings(toml_path) + + project_data = raw_settings.project + + tool_data = raw_settings.tool + comfy_data = tool_data.get("comfy", {}) if tool_data else {} + + dependencies = project_data.get("dependencies", []) + supported_comfyui_frontend_version = "" + for dep in dependencies: + if isinstance(dep, str) and dep.startswith("comfyui-frontend-package"): + supported_comfyui_frontend_version = dep.removeprefix("comfyui-frontend-package") + break + + supported_comfyui_version = comfy_data.get("requires-comfyui", "") + + classifiers = project_data.get('classifiers', []) + supported_os = validate_and_extract_os_classifiers(classifiers) + supported_accelerators = validate_and_extract_accelerator_classifiers(classifiers) + + project_data['supported_os'] = supported_os + project_data['supported_accelerators'] = supported_accelerators + project_data['supported_comfyui_frontend_version'] = supported_comfyui_frontend_version + project_data['supported_comfyui_version'] = supported_comfyui_version + + return PyProjectConfig(project=project_data, tool_comfy=comfy_data) + + +def load_pyproject_settings(toml_path: Path) -> PyProjectSettings: + class PyProjectLoader(PyProjectSettings): + @classmethod + def settings_customise_sources( + cls, + settings_cls, + init_settings: PydanticBaseSettingsSource, + env_settings: PydanticBaseSettingsSource, + dotenv_settings: PydanticBaseSettingsSource, + file_secret_settings: PydanticBaseSettingsSource, + ): + return (TomlConfigSettingsSource(settings_cls, toml_path),) + + return PyProjectLoader() diff --git a/comfy_config/types.py b/comfy_config/types.py new file mode 100644 index 0000000000000000000000000000000000000000..59448466b2cb6725c622fea1151f51e521d850fc --- /dev/null +++ b/comfy_config/types.py @@ -0,0 +1,97 @@ +from pydantic import BaseModel, Field, field_validator +from pydantic_settings import BaseSettings, SettingsConfigDict +from typing import List, Optional + +# IMPORTANT: The type definitions specified in pyproject.toml for custom nodes +# must remain synchronized with the corresponding files in the https://github.com/Comfy-Org/comfy-cli/blob/main/comfy_cli/registry/types.py. +# Any changes to one must be reflected in the other to maintain consistency. + +class NodeVersion(BaseModel): + changelog: str + dependencies: List[str] + deprecated: bool + id: str + version: str + download_url: str + + +class Node(BaseModel): + id: str + name: str + description: str + author: Optional[str] = None + license: Optional[str] = None + icon: Optional[str] = None + repository: Optional[str] = None + tags: List[str] = Field(default_factory=list) + latest_version: Optional[NodeVersion] = None + + +class PublishNodeVersionResponse(BaseModel): + node_version: NodeVersion + signedUrl: str + + +class URLs(BaseModel): + homepage: str = Field(default="", alias="Homepage") + documentation: str = Field(default="", alias="Documentation") + repository: str = Field(default="", alias="Repository") + issues: str = Field(default="", alias="Issues") + + +class Model(BaseModel): + location: str + model_url: str + + +class ComfyConfig(BaseModel): + publisher_id: str = Field(default="", alias="PublisherId") + display_name: str = Field(default="", alias="DisplayName") + icon: str = Field(default="", alias="Icon") + models: List[Model] = Field(default_factory=list, alias="Models") + includes: List[str] = Field(default_factory=list) + web: Optional[str] = None + banner_url: str = "" + +class License(BaseModel): + file: str = "" + text: str = "" + + +class ProjectConfig(BaseModel): + name: str = "" + description: str = "" + version: str = "1.0.0" + requires_python: str = Field(default=">= 3.9", alias="requires-python") + dependencies: List[str] = Field(default_factory=list) + license: License = Field(default_factory=License) + urls: URLs = Field(default_factory=URLs) + supported_os: List[str] = Field(default_factory=list) + supported_accelerators: List[str] = Field(default_factory=list) + supported_comfyui_version: str = "" + supported_comfyui_frontend_version: str = "" + + @field_validator('license', mode='before') + @classmethod + def validate_license(cls, v): + if isinstance(v, str): + return License(text=v) + elif isinstance(v, dict): + return License(**v) + elif isinstance(v, License): + return v + else: + return License() + + +class PyProjectConfig(BaseModel): + project: ProjectConfig = Field(default_factory=ProjectConfig) + tool_comfy: ComfyConfig = Field(default_factory=ComfyConfig) + + +class PyProjectSettings(BaseSettings): + project: dict = Field(default_factory=dict) + + tool: dict = Field(default_factory=dict) + + model_config = SettingsConfigDict(extra='allow') diff --git a/comfy_execution/caching.py b/comfy_execution/caching.py new file mode 100644 index 0000000000000000000000000000000000000000..41224ce3b82e0432ed89523101c2b3c8ef5f8f1a --- /dev/null +++ b/comfy_execution/caching.py @@ -0,0 +1,472 @@ +import itertools +from typing import Sequence, Mapping, Dict +from comfy_execution.graph import DynamicPrompt +from abc import ABC, abstractmethod + +import nodes + +from comfy_execution.graph_utils import is_link + +NODE_CLASS_CONTAINS_UNIQUE_ID: Dict[str, bool] = {} + + +def include_unique_id_in_input(class_type: str) -> bool: + if class_type in NODE_CLASS_CONTAINS_UNIQUE_ID: + return NODE_CLASS_CONTAINS_UNIQUE_ID[class_type] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + NODE_CLASS_CONTAINS_UNIQUE_ID[class_type] = "UNIQUE_ID" in class_def.INPUT_TYPES().get("hidden", {}).values() + return NODE_CLASS_CONTAINS_UNIQUE_ID[class_type] + +class CacheKeySet(ABC): + def __init__(self, dynprompt, node_ids, is_changed_cache): + self.keys = {} + self.subcache_keys = {} + + @abstractmethod + async def add_keys(self, node_ids): + raise NotImplementedError() + + def all_node_ids(self): + return set(self.keys.keys()) + + def get_used_keys(self): + return self.keys.values() + + def get_used_subcache_keys(self): + return self.subcache_keys.values() + + def get_data_key(self, node_id): + return self.keys.get(node_id, None) + + def get_subcache_key(self, node_id): + return self.subcache_keys.get(node_id, None) + +class Unhashable: + def __init__(self): + self.value = float("NaN") + +def to_hashable(obj): + # So that we don't infinitely recurse since frozenset and tuples + # are Sequences. + if isinstance(obj, (int, float, str, bool, type(None))): + return obj + elif isinstance(obj, Mapping): + return frozenset([(to_hashable(k), to_hashable(v)) for k, v in sorted(obj.items())]) + elif isinstance(obj, Sequence): + return frozenset(zip(itertools.count(), [to_hashable(i) for i in obj])) + else: + # TODO - Support other objects like tensors? + return Unhashable() + +class CacheKeySetID(CacheKeySet): + def __init__(self, dynprompt, node_ids, is_changed_cache): + super().__init__(dynprompt, node_ids, is_changed_cache) + self.dynprompt = dynprompt + + async def add_keys(self, node_ids): + for node_id in node_ids: + if node_id in self.keys: + continue + if not self.dynprompt.has_node(node_id): + continue + node = self.dynprompt.get_node(node_id) + self.keys[node_id] = (node_id, node["class_type"]) + self.subcache_keys[node_id] = (node_id, node["class_type"]) + +class CacheKeySetInputSignature(CacheKeySet): + def __init__(self, dynprompt, node_ids, is_changed_cache): + super().__init__(dynprompt, node_ids, is_changed_cache) + self.dynprompt = dynprompt + self.is_changed_cache = is_changed_cache + + def include_node_id_in_input(self) -> bool: + return False + + async def add_keys(self, node_ids): + for node_id in node_ids: + if node_id in self.keys: + continue + if not self.dynprompt.has_node(node_id): + continue + node = self.dynprompt.get_node(node_id) + self.keys[node_id] = await self.get_node_signature(self.dynprompt, node_id) + self.subcache_keys[node_id] = (node_id, node["class_type"]) + + async def get_node_signature(self, dynprompt, node_id): + signature = [] + ancestors, order_mapping = self.get_ordered_ancestry(dynprompt, node_id) + signature.append(await self.get_immediate_node_signature(dynprompt, node_id, order_mapping)) + for ancestor_id in ancestors: + signature.append(await self.get_immediate_node_signature(dynprompt, ancestor_id, order_mapping)) + return to_hashable(signature) + + async def get_immediate_node_signature(self, dynprompt, node_id, ancestor_order_mapping): + if not dynprompt.has_node(node_id): + # This node doesn't exist -- we can't cache it. + return [float("NaN")] + node = dynprompt.get_node(node_id) + class_type = node["class_type"] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + signature = [class_type, await self.is_changed_cache.get(node_id)] + if self.include_node_id_in_input() or (hasattr(class_def, "NOT_IDEMPOTENT") and class_def.NOT_IDEMPOTENT) or include_unique_id_in_input(class_type): + signature.append(node_id) + inputs = node["inputs"] + for key in sorted(inputs.keys()): + if is_link(inputs[key]): + (ancestor_id, ancestor_socket) = inputs[key] + ancestor_index = ancestor_order_mapping[ancestor_id] + signature.append((key,("ANCESTOR", ancestor_index, ancestor_socket))) + else: + signature.append((key, inputs[key])) + return signature + + # This function returns a list of all ancestors of the given node. The order of the list is + # deterministic based on which specific inputs the ancestor is connected by. + def get_ordered_ancestry(self, dynprompt, node_id): + ancestors = [] + order_mapping = {} + self.get_ordered_ancestry_internal(dynprompt, node_id, ancestors, order_mapping) + return ancestors, order_mapping + + def get_ordered_ancestry_internal(self, dynprompt, node_id, ancestors, order_mapping): + if not dynprompt.has_node(node_id): + return + inputs = dynprompt.get_node(node_id)["inputs"] + input_keys = sorted(inputs.keys()) + for key in input_keys: + if is_link(inputs[key]): + ancestor_id = inputs[key][0] + if ancestor_id not in order_mapping: + ancestors.append(ancestor_id) + order_mapping[ancestor_id] = len(ancestors) - 1 + self.get_ordered_ancestry_internal(dynprompt, ancestor_id, ancestors, order_mapping) + +class BasicCache: + def __init__(self, key_class): + self.key_class = key_class + self.initialized = False + self.dynprompt: DynamicPrompt + self.cache_key_set: CacheKeySet + self.cache = {} + self.subcaches = {} + + async def set_prompt(self, dynprompt, node_ids, is_changed_cache): + self.dynprompt = dynprompt + self.cache_key_set = self.key_class(dynprompt, node_ids, is_changed_cache) + await self.cache_key_set.add_keys(node_ids) + self.is_changed_cache = is_changed_cache + self.initialized = True + + def all_node_ids(self): + assert self.initialized + node_ids = self.cache_key_set.all_node_ids() + for subcache in self.subcaches.values(): + node_ids = node_ids.union(subcache.all_node_ids()) + return node_ids + + def _clean_cache(self): + preserve_keys = set(self.cache_key_set.get_used_keys()) + to_remove = [] + for key in self.cache: + if key not in preserve_keys: + to_remove.append(key) + for key in to_remove: + del self.cache[key] + + def _clean_subcaches(self): + preserve_subcaches = set(self.cache_key_set.get_used_subcache_keys()) + + to_remove = [] + for key in self.subcaches: + if key not in preserve_subcaches: + to_remove.append(key) + for key in to_remove: + del self.subcaches[key] + + def clean_unused(self): + assert self.initialized + self._clean_cache() + self._clean_subcaches() + + def _set_immediate(self, node_id, value): + assert self.initialized + cache_key = self.cache_key_set.get_data_key(node_id) + self.cache[cache_key] = value + + def _get_immediate(self, node_id): + if not self.initialized: + return None + cache_key = self.cache_key_set.get_data_key(node_id) + if cache_key in self.cache: + return self.cache[cache_key] + else: + return None + + async def _ensure_subcache(self, node_id, children_ids): + subcache_key = self.cache_key_set.get_subcache_key(node_id) + subcache = self.subcaches.get(subcache_key, None) + if subcache is None: + subcache = BasicCache(self.key_class) + self.subcaches[subcache_key] = subcache + await subcache.set_prompt(self.dynprompt, children_ids, self.is_changed_cache) + return subcache + + def _get_subcache(self, node_id): + assert self.initialized + subcache_key = self.cache_key_set.get_subcache_key(node_id) + if subcache_key in self.subcaches: + return self.subcaches[subcache_key] + else: + return None + + def recursive_debug_dump(self): + result = [] + for key in self.cache: + result.append({"key": key, "value": self.cache[key]}) + for key in self.subcaches: + result.append({"subcache_key": key, "subcache": self.subcaches[key].recursive_debug_dump()}) + return result + +class HierarchicalCache(BasicCache): + def __init__(self, key_class): + super().__init__(key_class) + + def _get_cache_for(self, node_id): + assert self.dynprompt is not None + parent_id = self.dynprompt.get_parent_node_id(node_id) + if parent_id is None: + return self + + hierarchy = [] + while parent_id is not None: + hierarchy.append(parent_id) + parent_id = self.dynprompt.get_parent_node_id(parent_id) + + cache = self + for parent_id in reversed(hierarchy): + cache = cache._get_subcache(parent_id) + if cache is None: + return None + return cache + + def get(self, node_id): + cache = self._get_cache_for(node_id) + if cache is None: + return None + return cache._get_immediate(node_id) + + def set(self, node_id, value): + cache = self._get_cache_for(node_id) + assert cache is not None + cache._set_immediate(node_id, value) + + async def ensure_subcache_for(self, node_id, children_ids): + cache = self._get_cache_for(node_id) + assert cache is not None + return await cache._ensure_subcache(node_id, children_ids) + +class LRUCache(BasicCache): + def __init__(self, key_class, max_size=100): + super().__init__(key_class) + self.max_size = max_size + self.min_generation = 0 + self.generation = 0 + self.used_generation = {} + self.children = {} + + async def set_prompt(self, dynprompt, node_ids, is_changed_cache): + await super().set_prompt(dynprompt, node_ids, is_changed_cache) + self.generation += 1 + for node_id in node_ids: + self._mark_used(node_id) + + def clean_unused(self): + while len(self.cache) > self.max_size and self.min_generation < self.generation: + self.min_generation += 1 + to_remove = [key for key in self.cache if self.used_generation[key] < self.min_generation] + for key in to_remove: + del self.cache[key] + del self.used_generation[key] + if key in self.children: + del self.children[key] + self._clean_subcaches() + + def get(self, node_id): + self._mark_used(node_id) + return self._get_immediate(node_id) + + def _mark_used(self, node_id): + cache_key = self.cache_key_set.get_data_key(node_id) + if cache_key is not None: + self.used_generation[cache_key] = self.generation + + def set(self, node_id, value): + self._mark_used(node_id) + return self._set_immediate(node_id, value) + + async def ensure_subcache_for(self, node_id, children_ids): + # Just uses subcaches for tracking 'live' nodes + await super()._ensure_subcache(node_id, children_ids) + + await self.cache_key_set.add_keys(children_ids) + self._mark_used(node_id) + cache_key = self.cache_key_set.get_data_key(node_id) + self.children[cache_key] = [] + for child_id in children_ids: + self._mark_used(child_id) + self.children[cache_key].append(self.cache_key_set.get_data_key(child_id)) + return self + + +class DependencyAwareCache(BasicCache): + """ + A cache implementation that tracks dependencies between nodes and manages + their execution and caching accordingly. It extends the BasicCache class. + Nodes are removed from this cache once all of their descendants have been + executed. + """ + + def __init__(self, key_class): + """ + Initialize the DependencyAwareCache. + + Args: + key_class: The class used for generating cache keys. + """ + super().__init__(key_class) + self.descendants = {} # Maps node_id -> set of descendant node_ids + self.ancestors = {} # Maps node_id -> set of ancestor node_ids + self.executed_nodes = set() # Tracks nodes that have been executed + + async def set_prompt(self, dynprompt, node_ids, is_changed_cache): + """ + Clear the entire cache and rebuild the dependency graph. + + Args: + dynprompt: The dynamic prompt object containing node information. + node_ids: List of node IDs to initialize the cache for. + is_changed_cache: Flag indicating if the cache has changed. + """ + # Clear all existing cache data + self.cache.clear() + self.subcaches.clear() + self.descendants.clear() + self.ancestors.clear() + self.executed_nodes.clear() + + # Call the parent method to initialize the cache with the new prompt + await super().set_prompt(dynprompt, node_ids, is_changed_cache) + + # Rebuild the dependency graph + self._build_dependency_graph(dynprompt, node_ids) + + def _build_dependency_graph(self, dynprompt, node_ids): + """ + Build the dependency graph for all nodes. + + Args: + dynprompt: The dynamic prompt object containing node information. + node_ids: List of node IDs to build the graph for. + """ + self.descendants.clear() + self.ancestors.clear() + for node_id in node_ids: + self.descendants[node_id] = set() + self.ancestors[node_id] = set() + + for node_id in node_ids: + inputs = dynprompt.get_node(node_id)["inputs"] + for input_data in inputs.values(): + if is_link(input_data): # Check if the input is a link to another node + ancestor_id = input_data[0] + self.descendants[ancestor_id].add(node_id) + self.ancestors[node_id].add(ancestor_id) + + def set(self, node_id, value): + """ + Mark a node as executed and store its value in the cache. + + Args: + node_id: The ID of the node to store. + value: The value to store for the node. + """ + self._set_immediate(node_id, value) + self.executed_nodes.add(node_id) + self._cleanup_ancestors(node_id) + + def get(self, node_id): + """ + Retrieve the cached value for a node. + + Args: + node_id: The ID of the node to retrieve. + + Returns: + The cached value for the node. + """ + return self._get_immediate(node_id) + + async def ensure_subcache_for(self, node_id, children_ids): + """ + Ensure a subcache exists for a node and update dependencies. + + Args: + node_id: The ID of the parent node. + children_ids: List of child node IDs to associate with the parent node. + + Returns: + The subcache object for the node. + """ + subcache = await super()._ensure_subcache(node_id, children_ids) + for child_id in children_ids: + self.descendants[node_id].add(child_id) + self.ancestors[child_id].add(node_id) + return subcache + + def _cleanup_ancestors(self, node_id): + """ + Check if ancestors of a node can be removed from the cache. + + Args: + node_id: The ID of the node whose ancestors are to be checked. + """ + for ancestor_id in self.ancestors.get(node_id, []): + if ancestor_id in self.executed_nodes: + # Remove ancestor if all its descendants have been executed + if all(descendant in self.executed_nodes for descendant in self.descendants[ancestor_id]): + self._remove_node(ancestor_id) + + def _remove_node(self, node_id): + """ + Remove a node from the cache. + + Args: + node_id: The ID of the node to remove. + """ + cache_key = self.cache_key_set.get_data_key(node_id) + if cache_key in self.cache: + del self.cache[cache_key] + subcache_key = self.cache_key_set.get_subcache_key(node_id) + if subcache_key in self.subcaches: + del self.subcaches[subcache_key] + + def clean_unused(self): + """ + Clean up unused nodes. This is a no-op for this cache implementation. + """ + pass + + def recursive_debug_dump(self): + """ + Dump the cache and dependency graph for debugging. + + Returns: + A list containing the cache state and dependency graph. + """ + result = super().recursive_debug_dump() + result.append({ + "descendants": self.descendants, + "ancestors": self.ancestors, + "executed_nodes": list(self.executed_nodes), + }) + return result diff --git a/comfy_execution/graph.py b/comfy_execution/graph.py new file mode 100644 index 0000000000000000000000000000000000000000..f4b427265da7c50684dc66bb6f15682b4685bd0d --- /dev/null +++ b/comfy_execution/graph.py @@ -0,0 +1,299 @@ +from __future__ import annotations +from typing import Type, Literal + +import nodes +import asyncio +import inspect +from comfy_execution.graph_utils import is_link, ExecutionBlocker +from comfy.comfy_types.node_typing import ComfyNodeABC, InputTypeDict, InputTypeOptions + +# NOTE: ExecutionBlocker code got moved to graph_utils.py to prevent torch being imported too soon during unit tests +ExecutionBlocker = ExecutionBlocker + +class DependencyCycleError(Exception): + pass + +class NodeInputError(Exception): + pass + +class NodeNotFoundError(Exception): + pass + +class DynamicPrompt: + def __init__(self, original_prompt): + # The original prompt provided by the user + self.original_prompt = original_prompt + # Any extra pieces of the graph created during execution + self.ephemeral_prompt = {} + self.ephemeral_parents = {} + self.ephemeral_display = {} + + def get_node(self, node_id): + if node_id in self.ephemeral_prompt: + return self.ephemeral_prompt[node_id] + if node_id in self.original_prompt: + return self.original_prompt[node_id] + raise NodeNotFoundError(f"Node {node_id} not found") + + def has_node(self, node_id): + return node_id in self.original_prompt or node_id in self.ephemeral_prompt + + def add_ephemeral_node(self, node_id, node_info, parent_id, display_id): + self.ephemeral_prompt[node_id] = node_info + self.ephemeral_parents[node_id] = parent_id + self.ephemeral_display[node_id] = display_id + + def get_real_node_id(self, node_id): + while node_id in self.ephemeral_parents: + node_id = self.ephemeral_parents[node_id] + return node_id + + def get_parent_node_id(self, node_id): + return self.ephemeral_parents.get(node_id, None) + + def get_display_node_id(self, node_id): + while node_id in self.ephemeral_display: + node_id = self.ephemeral_display[node_id] + return node_id + + def all_node_ids(self): + return set(self.original_prompt.keys()).union(set(self.ephemeral_prompt.keys())) + + def get_original_prompt(self): + return self.original_prompt + +def get_input_info( + class_def: Type[ComfyNodeABC], + input_name: str, + valid_inputs: InputTypeDict | None = None +) -> tuple[str, Literal["required", "optional", "hidden"], InputTypeOptions] | tuple[None, None, None]: + """Get the input type, category, and extra info for a given input name. + + Arguments: + class_def: The class definition of the node. + input_name: The name of the input to get info for. + valid_inputs: The valid inputs for the node, or None to use the class_def.INPUT_TYPES(). + + Returns: + tuple[str, str, dict] | tuple[None, None, None]: The input type, category, and extra info for the input name. + """ + + valid_inputs = valid_inputs or class_def.INPUT_TYPES() + input_info = None + input_category = None + if "required" in valid_inputs and input_name in valid_inputs["required"]: + input_category = "required" + input_info = valid_inputs["required"][input_name] + elif "optional" in valid_inputs and input_name in valid_inputs["optional"]: + input_category = "optional" + input_info = valid_inputs["optional"][input_name] + elif "hidden" in valid_inputs and input_name in valid_inputs["hidden"]: + input_category = "hidden" + input_info = valid_inputs["hidden"][input_name] + if input_info is None: + return None, None, None + input_type = input_info[0] + if len(input_info) > 1: + extra_info = input_info[1] + else: + extra_info = {} + return input_type, input_category, extra_info + +class TopologicalSort: + def __init__(self, dynprompt): + self.dynprompt = dynprompt + self.pendingNodes = {} + self.blockCount = {} # Number of nodes this node is directly blocked by + self.blocking = {} # Which nodes are blocked by this node + self.externalBlocks = 0 + self.unblockedEvent = asyncio.Event() + + def get_input_info(self, unique_id, input_name): + class_type = self.dynprompt.get_node(unique_id)["class_type"] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + return get_input_info(class_def, input_name) + + def make_input_strong_link(self, to_node_id, to_input): + inputs = self.dynprompt.get_node(to_node_id)["inputs"] + if to_input not in inputs: + raise NodeInputError(f"Node {to_node_id} says it needs input {to_input}, but there is no input to that node at all") + value = inputs[to_input] + if not is_link(value): + raise NodeInputError(f"Node {to_node_id} says it needs input {to_input}, but that value is a constant") + from_node_id, from_socket = value + self.add_strong_link(from_node_id, from_socket, to_node_id) + + def add_strong_link(self, from_node_id, from_socket, to_node_id): + if not self.is_cached(from_node_id): + self.add_node(from_node_id) + if to_node_id not in self.blocking[from_node_id]: + self.blocking[from_node_id][to_node_id] = {} + self.blockCount[to_node_id] += 1 + self.blocking[from_node_id][to_node_id][from_socket] = True + + def add_node(self, node_unique_id, include_lazy=False, subgraph_nodes=None): + node_ids = [node_unique_id] + links = [] + + while len(node_ids) > 0: + unique_id = node_ids.pop() + if unique_id in self.pendingNodes: + continue + + self.pendingNodes[unique_id] = True + self.blockCount[unique_id] = 0 + self.blocking[unique_id] = {} + + inputs = self.dynprompt.get_node(unique_id)["inputs"] + for input_name in inputs: + value = inputs[input_name] + if is_link(value): + from_node_id, from_socket = value + if subgraph_nodes is not None and from_node_id not in subgraph_nodes: + continue + _, _, input_info = self.get_input_info(unique_id, input_name) + is_lazy = input_info is not None and "lazy" in input_info and input_info["lazy"] + if (include_lazy or not is_lazy) and not self.is_cached(from_node_id): + node_ids.append(from_node_id) + links.append((from_node_id, from_socket, unique_id)) + + for link in links: + self.add_strong_link(*link) + + def add_external_block(self, node_id): + assert node_id in self.blockCount, "Can't add external block to a node that isn't pending" + self.externalBlocks += 1 + self.blockCount[node_id] += 1 + def unblock(): + self.externalBlocks -= 1 + self.blockCount[node_id] -= 1 + self.unblockedEvent.set() + return unblock + + def is_cached(self, node_id): + return False + + def get_ready_nodes(self): + return [node_id for node_id in self.pendingNodes if self.blockCount[node_id] == 0] + + def pop_node(self, unique_id): + del self.pendingNodes[unique_id] + for blocked_node_id in self.blocking[unique_id]: + self.blockCount[blocked_node_id] -= 1 + del self.blocking[unique_id] + + def is_empty(self): + return len(self.pendingNodes) == 0 + +class ExecutionList(TopologicalSort): + """ + ExecutionList implements a topological dissolve of the graph. After a node is staged for execution, + it can still be returned to the graph after having further dependencies added. + """ + def __init__(self, dynprompt, output_cache): + super().__init__(dynprompt) + self.output_cache = output_cache + self.staged_node_id = None + + def is_cached(self, node_id): + return self.output_cache.get(node_id) is not None + + async def stage_node_execution(self): + assert self.staged_node_id is None + if self.is_empty(): + return None, None, None + available = self.get_ready_nodes() + while len(available) == 0 and self.externalBlocks > 0: + # Wait for an external block to be released + await self.unblockedEvent.wait() + self.unblockedEvent.clear() + available = self.get_ready_nodes() + if len(available) == 0: + cycled_nodes = self.get_nodes_in_cycle() + # Because cycles composed entirely of static nodes are caught during initial validation, + # we will 'blame' the first node in the cycle that is not a static node. + blamed_node = cycled_nodes[0] + for node_id in cycled_nodes: + display_node_id = self.dynprompt.get_display_node_id(node_id) + if display_node_id != node_id: + blamed_node = display_node_id + break + ex = DependencyCycleError("Dependency cycle detected") + error_details = { + "node_id": blamed_node, + "exception_message": str(ex), + "exception_type": "graph.DependencyCycleError", + "traceback": [], + "current_inputs": [] + } + return None, error_details, ex + + self.staged_node_id = self.ux_friendly_pick_node(available) + return self.staged_node_id, None, None + + def ux_friendly_pick_node(self, node_list): + # If an output node is available, do that first. + # Technically this has no effect on the overall length of execution, but it feels better as a user + # for a PreviewImage to display a result as soon as it can + # Some other heuristics could probably be used here to improve the UX further. + def is_output(node_id): + class_type = self.dynprompt.get_node(node_id)["class_type"] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + if hasattr(class_def, 'OUTPUT_NODE') and class_def.OUTPUT_NODE == True: + return True + return False + + # If an available node is async, do that first. + # This will execute the asynchronous function earlier, reducing the overall time. + def is_async(node_id): + class_type = self.dynprompt.get_node(node_id)["class_type"] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + return inspect.iscoroutinefunction(getattr(class_def, class_def.FUNCTION)) + + for node_id in node_list: + if is_output(node_id) or is_async(node_id): + return node_id + + #This should handle the VAEDecode -> preview case + for node_id in node_list: + for blocked_node_id in self.blocking[node_id]: + if is_output(blocked_node_id): + return node_id + + #This should handle the VAELoader -> VAEDecode -> preview case + for node_id in node_list: + for blocked_node_id in self.blocking[node_id]: + for blocked_node_id1 in self.blocking[blocked_node_id]: + if is_output(blocked_node_id1): + return node_id + + #TODO: this function should be improved + return node_list[0] + + def unstage_node_execution(self): + assert self.staged_node_id is not None + self.staged_node_id = None + + def complete_node_execution(self): + node_id = self.staged_node_id + self.pop_node(node_id) + self.staged_node_id = None + + def get_nodes_in_cycle(self): + # We'll dissolve the graph in reverse topological order to leave only the nodes in the cycle. + # We're skipping some of the performance optimizations from the original TopologicalSort to keep + # the code simple (and because having a cycle in the first place is a catastrophic error) + blocked_by = { node_id: {} for node_id in self.pendingNodes } + for from_node_id in self.blocking: + for to_node_id in self.blocking[from_node_id]: + if True in self.blocking[from_node_id][to_node_id].values(): + blocked_by[to_node_id][from_node_id] = True + to_remove = [node_id for node_id in blocked_by if len(blocked_by[node_id]) == 0] + while len(to_remove) > 0: + for node_id in to_remove: + for to_node_id in blocked_by: + if node_id in blocked_by[to_node_id]: + del blocked_by[to_node_id][node_id] + del blocked_by[node_id] + to_remove = [node_id for node_id in blocked_by if len(blocked_by[node_id]) == 0] + return list(blocked_by.keys()) diff --git a/comfy_execution/graph_utils.py b/comfy_execution/graph_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..496d2c634982aa5afc8d58b9db758f97b3b5c2d8 --- /dev/null +++ b/comfy_execution/graph_utils.py @@ -0,0 +1,155 @@ +def is_link(obj): + if not isinstance(obj, list): + return False + if len(obj) != 2: + return False + if not isinstance(obj[0], str): + return False + if not isinstance(obj[1], int) and not isinstance(obj[1], float): + return False + return True + +# The GraphBuilder is just a utility class that outputs graphs in the form expected by the ComfyUI back-end +class GraphBuilder: + _default_prefix_root = "" + _default_prefix_call_index = 0 + _default_prefix_graph_index = 0 + + def __init__(self, prefix = None): + if prefix is None: + self.prefix = GraphBuilder.alloc_prefix() + else: + self.prefix = prefix + self.nodes = {} + self.id_gen = 1 + + @classmethod + def set_default_prefix(cls, prefix_root, call_index, graph_index = 0): + cls._default_prefix_root = prefix_root + cls._default_prefix_call_index = call_index + cls._default_prefix_graph_index = graph_index + + @classmethod + def alloc_prefix(cls, root=None, call_index=None, graph_index=None): + if root is None: + root = GraphBuilder._default_prefix_root + if call_index is None: + call_index = GraphBuilder._default_prefix_call_index + if graph_index is None: + graph_index = GraphBuilder._default_prefix_graph_index + result = f"{root}.{call_index}.{graph_index}." + GraphBuilder._default_prefix_graph_index += 1 + return result + + def node(self, class_type, id=None, **kwargs): + if id is None: + id = str(self.id_gen) + self.id_gen += 1 + id = self.prefix + id + if id in self.nodes: + return self.nodes[id] + + node = Node(id, class_type, kwargs) + self.nodes[id] = node + return node + + def lookup_node(self, id): + id = self.prefix + id + return self.nodes.get(id) + + def finalize(self): + output = {} + for node_id, node in self.nodes.items(): + output[node_id] = node.serialize() + return output + + def replace_node_output(self, node_id, index, new_value): + node_id = self.prefix + node_id + to_remove = [] + for node in self.nodes.values(): + for key, value in node.inputs.items(): + if is_link(value) and value[0] == node_id and value[1] == index: + if new_value is None: + to_remove.append((node, key)) + else: + node.inputs[key] = new_value + for node, key in to_remove: + del node.inputs[key] + + def remove_node(self, id): + id = self.prefix + id + del self.nodes[id] + +class Node: + def __init__(self, id, class_type, inputs): + self.id = id + self.class_type = class_type + self.inputs = inputs + self.override_display_id = None + + def out(self, index): + return [self.id, index] + + def set_input(self, key, value): + if value is None: + if key in self.inputs: + del self.inputs[key] + else: + self.inputs[key] = value + + def get_input(self, key): + return self.inputs.get(key) + + def set_override_display_id(self, override_display_id): + self.override_display_id = override_display_id + + def serialize(self): + serialized = { + "class_type": self.class_type, + "inputs": self.inputs + } + if self.override_display_id is not None: + serialized["override_display_id"] = self.override_display_id + return serialized + +def add_graph_prefix(graph, outputs, prefix): + # Change the node IDs and any internal links + new_graph = {} + for node_id, node_info in graph.items(): + # Make sure the added nodes have unique IDs + new_node_id = prefix + node_id + new_node = { "class_type": node_info["class_type"], "inputs": {} } + for input_name, input_value in node_info.get("inputs", {}).items(): + if is_link(input_value): + new_node["inputs"][input_name] = [prefix + input_value[0], input_value[1]] + else: + new_node["inputs"][input_name] = input_value + new_graph[new_node_id] = new_node + + # Change the node IDs in the outputs + new_outputs = [] + for n in range(len(outputs)): + output = outputs[n] + if is_link(output): + new_outputs.append([prefix + output[0], output[1]]) + else: + new_outputs.append(output) + + return new_graph, tuple(new_outputs) + +class ExecutionBlocker: + """ + Return this from a node and any users will be blocked with the given error message. + If the message is None, execution will be blocked silently instead. + Generally, you should avoid using this functionality unless absolutely necessary. Whenever it's + possible, a lazy input will be more efficient and have a better user experience. + This functionality is useful in two cases: + 1. You want to conditionally prevent an output node from executing. (Particularly a built-in node + like SaveImage. For your own output nodes, I would recommend just adding a BOOL input and using + lazy evaluation to let it conditionally disable itself.) + 2. You have a node with multiple possible outputs, some of which are invalid and should not be used. + (I would recommend not making nodes like this in the future -- instead, make multiple nodes with + different outputs. Unfortunately, there are several popular existing nodes using this pattern.) + """ + def __init__(self, message): + self.message = message diff --git a/comfy_execution/progress.py b/comfy_execution/progress.py new file mode 100644 index 0000000000000000000000000000000000000000..f951a33507f5da68785b7317eb6cb6210102f0f5 --- /dev/null +++ b/comfy_execution/progress.py @@ -0,0 +1,350 @@ +from __future__ import annotations + +from typing import TypedDict, Dict, Optional, Tuple +from typing_extensions import override +from PIL import Image +from enum import Enum +from abc import ABC +from tqdm import tqdm +from typing import TYPE_CHECKING +if TYPE_CHECKING: + from comfy_execution.graph import DynamicPrompt +from protocol import BinaryEventTypes +from comfy_api import feature_flags + +PreviewImageTuple = Tuple[str, Image.Image, Optional[int]] + +class NodeState(Enum): + Pending = "pending" + Running = "running" + Finished = "finished" + Error = "error" + + +class NodeProgressState(TypedDict): + """ + A class to represent the state of a node's progress. + """ + + state: NodeState + value: float + max: float + + +class ProgressHandler(ABC): + """ + Abstract base class for progress handlers. + Progress handlers receive progress updates and display them in various ways. + """ + + def __init__(self, name: str): + self.name = name + self.enabled = True + + def set_registry(self, registry: "ProgressRegistry"): + pass + + def start_handler(self, node_id: str, state: NodeProgressState, prompt_id: str): + """Called when a node starts processing""" + pass + + def update_handler( + self, + node_id: str, + value: float, + max_value: float, + state: NodeProgressState, + prompt_id: str, + image: PreviewImageTuple | None = None, + ): + """Called when a node's progress is updated""" + pass + + def finish_handler(self, node_id: str, state: NodeProgressState, prompt_id: str): + """Called when a node finishes processing""" + pass + + def reset(self): + """Called when the progress registry is reset""" + pass + + def enable(self): + """Enable this handler""" + self.enabled = True + + def disable(self): + """Disable this handler""" + self.enabled = False + + +class CLIProgressHandler(ProgressHandler): + """ + Handler that displays progress using tqdm progress bars in the CLI. + """ + + def __init__(self): + super().__init__("cli") + self.progress_bars: Dict[str, tqdm] = {} + + @override + def start_handler(self, node_id: str, state: NodeProgressState, prompt_id: str): + # Create a new tqdm progress bar + if node_id not in self.progress_bars: + self.progress_bars[node_id] = tqdm( + total=state["max"], + desc=f"Node {node_id}", + unit="steps", + leave=True, + position=len(self.progress_bars), + ) + + @override + def update_handler( + self, + node_id: str, + value: float, + max_value: float, + state: NodeProgressState, + prompt_id: str, + image: PreviewImageTuple | None = None, + ): + # Handle case where start_handler wasn't called + if node_id not in self.progress_bars: + self.progress_bars[node_id] = tqdm( + total=max_value, + desc=f"Node {node_id}", + unit="steps", + leave=True, + position=len(self.progress_bars), + ) + self.progress_bars[node_id].update(value) + else: + # Update existing progress bar + if max_value != self.progress_bars[node_id].total: + self.progress_bars[node_id].total = max_value + # Calculate the update amount (difference from current position) + current_position = self.progress_bars[node_id].n + update_amount = value - current_position + if update_amount > 0: + self.progress_bars[node_id].update(update_amount) + + @override + def finish_handler(self, node_id: str, state: NodeProgressState, prompt_id: str): + # Complete and close the progress bar if it exists + if node_id in self.progress_bars: + # Ensure the bar shows 100% completion + remaining = state["max"] - self.progress_bars[node_id].n + if remaining > 0: + self.progress_bars[node_id].update(remaining) + self.progress_bars[node_id].close() + del self.progress_bars[node_id] + + @override + def reset(self): + # Close all progress bars + for bar in self.progress_bars.values(): + bar.close() + self.progress_bars.clear() + + +class WebUIProgressHandler(ProgressHandler): + """ + Handler that sends progress updates to the WebUI via WebSockets. + """ + + def __init__(self, server_instance): + super().__init__("webui") + self.server_instance = server_instance + + def set_registry(self, registry: "ProgressRegistry"): + self.registry = registry + + def _send_progress_state(self, prompt_id: str, nodes: Dict[str, NodeProgressState]): + """Send the current progress state to the client""" + if self.server_instance is None: + return + + # Only send info for non-pending nodes + active_nodes = { + node_id: { + "value": state["value"], + "max": state["max"], + "state": state["state"].value, + "node_id": node_id, + "prompt_id": prompt_id, + "display_node_id": self.registry.dynprompt.get_display_node_id(node_id), + "parent_node_id": self.registry.dynprompt.get_parent_node_id(node_id), + "real_node_id": self.registry.dynprompt.get_real_node_id(node_id), + } + for node_id, state in nodes.items() + if state["state"] != NodeState.Pending + } + + # Send a combined progress_state message with all node states + # Include client_id to ensure message is only sent to the initiating client + self.server_instance.send_sync( + "progress_state", {"prompt_id": prompt_id, "nodes": active_nodes}, self.server_instance.client_id + ) + + @override + def start_handler(self, node_id: str, state: NodeProgressState, prompt_id: str): + # Send progress state of all nodes + if self.registry: + self._send_progress_state(prompt_id, self.registry.nodes) + + @override + def update_handler( + self, + node_id: str, + value: float, + max_value: float, + state: NodeProgressState, + prompt_id: str, + image: PreviewImageTuple | None = None, + ): + # Send progress state of all nodes + if self.registry: + self._send_progress_state(prompt_id, self.registry.nodes) + if image: + # Only send new format if client supports it + if feature_flags.supports_feature( + self.server_instance.sockets_metadata, + self.server_instance.client_id, + "supports_preview_metadata", + ): + metadata = { + "node_id": node_id, + "prompt_id": prompt_id, + "display_node_id": self.registry.dynprompt.get_display_node_id( + node_id + ), + "parent_node_id": self.registry.dynprompt.get_parent_node_id( + node_id + ), + "real_node_id": self.registry.dynprompt.get_real_node_id(node_id), + } + self.server_instance.send_sync( + BinaryEventTypes.PREVIEW_IMAGE_WITH_METADATA, + (image, metadata), + self.server_instance.client_id, + ) + + @override + def finish_handler(self, node_id: str, state: NodeProgressState, prompt_id: str): + # Send progress state of all nodes + if self.registry: + self._send_progress_state(prompt_id, self.registry.nodes) + +class ProgressRegistry: + """ + Registry that maintains node progress state and notifies registered handlers. + """ + + def __init__(self, prompt_id: str, dynprompt: "DynamicPrompt"): + self.prompt_id = prompt_id + self.dynprompt = dynprompt + self.nodes: Dict[str, NodeProgressState] = {} + self.handlers: Dict[str, ProgressHandler] = {} + + def register_handler(self, handler: ProgressHandler) -> None: + """Register a progress handler""" + self.handlers[handler.name] = handler + + def unregister_handler(self, handler_name: str) -> None: + """Unregister a progress handler""" + if handler_name in self.handlers: + # Allow handler to clean up resources + self.handlers[handler_name].reset() + del self.handlers[handler_name] + + def enable_handler(self, handler_name: str) -> None: + """Enable a progress handler""" + if handler_name in self.handlers: + self.handlers[handler_name].enable() + + def disable_handler(self, handler_name: str) -> None: + """Disable a progress handler""" + if handler_name in self.handlers: + self.handlers[handler_name].disable() + + def ensure_entry(self, node_id: str) -> NodeProgressState: + """Ensure a node entry exists""" + if node_id not in self.nodes: + self.nodes[node_id] = NodeProgressState( + state=NodeState.Pending, value=0, max=1 + ) + return self.nodes[node_id] + + def start_progress(self, node_id: str) -> None: + """Start progress tracking for a node""" + entry = self.ensure_entry(node_id) + entry["state"] = NodeState.Running + entry["value"] = 0.0 + entry["max"] = 1.0 + + # Notify all enabled handlers + for handler in self.handlers.values(): + if handler.enabled: + handler.start_handler(node_id, entry, self.prompt_id) + + def update_progress( + self, node_id: str, value: float, max_value: float, image: PreviewImageTuple | None = None + ) -> None: + """Update progress for a node""" + entry = self.ensure_entry(node_id) + entry["state"] = NodeState.Running + entry["value"] = value + entry["max"] = max_value + + # Notify all enabled handlers + for handler in self.handlers.values(): + if handler.enabled: + handler.update_handler( + node_id, value, max_value, entry, self.prompt_id, image + ) + + def finish_progress(self, node_id: str) -> None: + """Finish progress tracking for a node""" + entry = self.ensure_entry(node_id) + entry["state"] = NodeState.Finished + entry["value"] = entry["max"] + + # Notify all enabled handlers + for handler in self.handlers.values(): + if handler.enabled: + handler.finish_handler(node_id, entry, self.prompt_id) + + def reset_handlers(self) -> None: + """Reset all handlers""" + for handler in self.handlers.values(): + handler.reset() + +# Global registry instance +global_progress_registry: ProgressRegistry | None = None + +def reset_progress_state(prompt_id: str, dynprompt: "DynamicPrompt") -> None: + global global_progress_registry + + # Reset existing handlers if registry exists + if global_progress_registry is not None: + global_progress_registry.reset_handlers() + + # Create new registry + global_progress_registry = ProgressRegistry(prompt_id, dynprompt) + + +def add_progress_handler(handler: ProgressHandler) -> None: + registry = get_progress_state() + handler.set_registry(registry) + registry.register_handler(handler) + + +def get_progress_state() -> ProgressRegistry: + global global_progress_registry + if global_progress_registry is None: + from comfy_execution.graph import DynamicPrompt + + global_progress_registry = ProgressRegistry( + prompt_id="", dynprompt=DynamicPrompt({}) + ) + return global_progress_registry diff --git a/comfy_execution/utils.py b/comfy_execution/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..62d32f1013df633889b59d2207154d1cbbbfe347 --- /dev/null +++ b/comfy_execution/utils.py @@ -0,0 +1,46 @@ +import contextvars +from typing import Optional, NamedTuple + +class ExecutionContext(NamedTuple): + """ + Context information about the currently executing node. + + Attributes: + node_id: The ID of the currently executing node + list_index: The index in a list being processed (for operations on batches/lists) + """ + prompt_id: str + node_id: str + list_index: Optional[int] + +current_executing_context: contextvars.ContextVar[Optional[ExecutionContext]] = contextvars.ContextVar("current_executing_context", default=None) + +def get_executing_context() -> Optional[ExecutionContext]: + return current_executing_context.get(None) + +class CurrentNodeContext: + """ + Context manager for setting the current executing node context. + + Sets the current_executing_context on enter and resets it on exit. + + Example: + with CurrentNodeContext(node_id="123", list_index=0): + # Code that should run with the current node context set + process_image() + """ + def __init__(self, prompt_id: str, node_id: str, list_index: Optional[int] = None): + self.context = ExecutionContext( + prompt_id= prompt_id, + node_id= node_id, + list_index= list_index + ) + self.token = None + + def __enter__(self): + self.token = current_executing_context.set(self.context) + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + if self.token is not None: + current_executing_context.reset(self.token) diff --git a/comfy_execution/validation.py b/comfy_execution/validation.py new file mode 100644 index 0000000000000000000000000000000000000000..cec105fc9f1bfbecdc17c37cfec9ecf60f188814 --- /dev/null +++ b/comfy_execution/validation.py @@ -0,0 +1,39 @@ +from __future__ import annotations + + +def validate_node_input( + received_type: str, input_type: str, strict: bool = False +) -> bool: + """ + received_type and input_type are both strings of the form "T1,T2,...". + + If strict is True, the input_type must contain the received_type. + For example, if received_type is "STRING" and input_type is "STRING,INT", + this will return True. But if received_type is "STRING,INT" and input_type is + "INT", this will return False. + + If strict is False, the input_type must have overlap with the received_type. + For example, if received_type is "STRING,BOOLEAN" and input_type is "STRING,INT", + this will return True. + + Supports pre-union type extension behaviour of ``__ne__`` overrides. + """ + # If the types are exactly the same, we can return immediately + # Use pre-union behaviour: inverse of `__ne__` + if not received_type != input_type: + return True + + # Not equal, and not strings + if not isinstance(received_type, str) or not isinstance(input_type, str): + return False + + # Split the type strings into sets for comparison + received_types = set(t.strip() for t in received_type.split(",")) + input_types = set(t.strip() for t in input_type.split(",")) + + if strict: + # In strict mode, all received types must be in the input types + return received_types.issubset(input_types) + else: + # In non-strict mode, there must be at least one type in common + return len(received_types.intersection(input_types)) > 0 diff --git a/comfy_extras/chainner_models/model_loading.py b/comfy_extras/chainner_models/model_loading.py new file mode 100644 index 0000000000000000000000000000000000000000..1bec4476f6171e9f1b2a4a3b967fc63bbf9e9c3c --- /dev/null +++ b/comfy_extras/chainner_models/model_loading.py @@ -0,0 +1,6 @@ +import logging +from spandrel import ModelLoader + +def load_state_dict(state_dict): + logging.warning("comfy_extras.chainner_models is deprecated and has been replaced by the spandrel library.") + return ModelLoader().load_from_state_dict(state_dict).eval() diff --git a/comfy_extras/nodes_ace.py b/comfy_extras/nodes_ace.py new file mode 100644 index 0000000000000000000000000000000000000000..1409233c924f6828c4d8467a57605318b810b5d0 --- /dev/null +++ b/comfy_extras/nodes_ace.py @@ -0,0 +1,63 @@ +import torch +from typing_extensions import override + +import comfy.model_management +import node_helpers +from comfy_api.latest import ComfyExtension, io + + +class TextEncodeAceStepAudio(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="TextEncodeAceStepAudio", + category="conditioning", + inputs=[ + io.Clip.Input("clip"), + io.String.Input("tags", multiline=True, dynamic_prompts=True), + io.String.Input("lyrics", multiline=True, dynamic_prompts=True), + io.Float.Input("lyrics_strength", default=1.0, min=0.0, max=10.0, step=0.01), + ], + outputs=[io.Conditioning.Output()], + ) + + @classmethod + def execute(cls, clip, tags, lyrics, lyrics_strength) -> io.NodeOutput: + tokens = clip.tokenize(tags, lyrics=lyrics) + conditioning = clip.encode_from_tokens_scheduled(tokens) + conditioning = node_helpers.conditioning_set_values(conditioning, {"lyrics_strength": lyrics_strength}) + return io.NodeOutput(conditioning) + + +class EmptyAceStepLatentAudio(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="EmptyAceStepLatentAudio", + category="latent/audio", + inputs=[ + io.Float.Input("seconds", default=120.0, min=1.0, max=1000.0, step=0.1), + io.Int.Input( + "batch_size", default=1, min=1, max=4096, tooltip="The number of latent images in the batch." + ), + ], + outputs=[io.Latent.Output()], + ) + + @classmethod + def execute(cls, seconds, batch_size) -> io.NodeOutput: + length = int(seconds * 44100 / 512 / 8) + latent = torch.zeros([batch_size, 8, 16, length], device=comfy.model_management.intermediate_device()) + return io.NodeOutput({"samples": latent, "type": "audio"}) + + +class AceExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + TextEncodeAceStepAudio, + EmptyAceStepLatentAudio, + ] + +async def comfy_entrypoint() -> AceExtension: + return AceExtension() diff --git a/comfy_extras/nodes_advanced_samplers.py b/comfy_extras/nodes_advanced_samplers.py new file mode 100644 index 0000000000000000000000000000000000000000..5532ffe6a241344abd6d3c3b62cc0104c67316d3 --- /dev/null +++ b/comfy_extras/nodes_advanced_samplers.py @@ -0,0 +1,121 @@ +import numpy as np +import torch +from tqdm.auto import trange +from typing_extensions import override + +import comfy.model_patcher +import comfy.samplers +import comfy.utils +from comfy.k_diffusion.sampling import to_d +from comfy_api.latest import ComfyExtension, io + + +@torch.no_grad() +def sample_lcm_upscale(model, x, sigmas, extra_args=None, callback=None, disable=None, total_upscale=2.0, upscale_method="bislerp", upscale_steps=None): + extra_args = {} if extra_args is None else extra_args + + if upscale_steps is None: + upscale_steps = max(len(sigmas) // 2 + 1, 2) + else: + upscale_steps += 1 + upscale_steps = min(upscale_steps, len(sigmas) + 1) + + upscales = np.linspace(1.0, total_upscale, upscale_steps)[1:] + + orig_shape = x.size() + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + + x = denoised + if i < len(upscales): + x = comfy.utils.common_upscale(x, round(orig_shape[-1] * upscales[i]), round(orig_shape[-2] * upscales[i]), upscale_method, "disabled") + + if sigmas[i + 1] > 0: + x += sigmas[i + 1] * torch.randn_like(x) + return x + + +class SamplerLCMUpscale(io.ComfyNode): + UPSCALE_METHODS = ["bislerp", "nearest-exact", "bilinear", "area", "bicubic"] + + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="SamplerLCMUpscale", + category="sampling/custom_sampling/samplers", + inputs=[ + io.Float.Input("scale_ratio", default=1.0, min=0.1, max=20.0, step=0.01), + io.Int.Input("scale_steps", default=-1, min=-1, max=1000, step=1), + io.Combo.Input("upscale_method", options=cls.UPSCALE_METHODS), + ], + outputs=[io.Sampler.Output()], + ) + + @classmethod + def execute(cls, scale_ratio, scale_steps, upscale_method) -> io.NodeOutput: + if scale_steps < 0: + scale_steps = None + sampler = comfy.samplers.KSAMPLER(sample_lcm_upscale, extra_options={"total_upscale": scale_ratio, "upscale_steps": scale_steps, "upscale_method": upscale_method}) + return io.NodeOutput(sampler) + + +@torch.no_grad() +def sample_euler_pp(model, x, sigmas, extra_args=None, callback=None, disable=None): + extra_args = {} if extra_args is None else extra_args + + temp = [0] + def post_cfg_function(args): + temp[0] = args["uncond_denoised"] + return args["denoised"] + + model_options = extra_args.get("model_options", {}).copy() + extra_args["model_options"] = comfy.model_patcher.set_model_options_post_cfg_function(model_options, post_cfg_function, disable_cfg1_optimization=True) + + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + sigma_hat = sigmas[i] + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x - denoised + temp[0], sigmas[i], denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + dt = sigmas[i + 1] - sigma_hat + x = x + d * dt + return x + + +class SamplerEulerCFGpp(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="SamplerEulerCFGpp", + display_name="SamplerEulerCFG++", + category="_for_testing", # "sampling/custom_sampling/samplers" + inputs=[ + io.Combo.Input("version", options=["regular", "alternative"]), + ], + outputs=[io.Sampler.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, version) -> io.NodeOutput: + if version == "alternative": + sampler = comfy.samplers.KSAMPLER(sample_euler_pp) + else: + sampler = comfy.samplers.ksampler("euler_cfg_pp") + return io.NodeOutput(sampler) + + +class AdvancedSamplersExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + SamplerLCMUpscale, + SamplerEulerCFGpp, + ] + +async def comfy_entrypoint() -> AdvancedSamplersExtension: + return AdvancedSamplersExtension() diff --git a/comfy_extras/nodes_align_your_steps.py b/comfy_extras/nodes_align_your_steps.py new file mode 100644 index 0000000000000000000000000000000000000000..edd5dadd4e18068aa2e42c51a8cb941933c2924e --- /dev/null +++ b/comfy_extras/nodes_align_your_steps.py @@ -0,0 +1,69 @@ +#from: https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html +import numpy as np +import torch +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io + + +def loglinear_interp(t_steps, num_steps): + """ + Performs log-linear interpolation of a given array of decreasing numbers. + """ + xs = np.linspace(0, 1, len(t_steps)) + ys = np.log(t_steps[::-1]) + + new_xs = np.linspace(0, 1, num_steps) + new_ys = np.interp(new_xs, xs, ys) + + interped_ys = np.exp(new_ys)[::-1].copy() + return interped_ys + +NOISE_LEVELS = {"SD1": [14.6146412293, 6.4745760956, 3.8636745985, 2.6946151520, 1.8841921177, 1.3943805092, 0.9642583904, 0.6523686016, 0.3977456272, 0.1515232662, 0.0291671582], + "SDXL":[14.6146412293, 6.3184485287, 3.7681790315, 2.1811480769, 1.3405244945, 0.8620721141, 0.5550693289, 0.3798540708, 0.2332364134, 0.1114188177, 0.0291671582], + "SVD": [700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002]} + +class AlignYourStepsScheduler(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="AlignYourStepsScheduler", + category="sampling/custom_sampling/schedulers", + inputs=[ + io.Combo.Input("model_type", options=["SD1", "SDXL", "SVD"]), + io.Int.Input("steps", default=10, min=1, max=10000), + io.Float.Input("denoise", default=1.0, min=0.0, max=1.0, step=0.01), + ], + outputs=[io.Sigmas.Output()], + ) + + def get_sigmas(self, model_type, steps, denoise): + # Deprecated: use the V3 schema's `execute` method instead of this. + return AlignYourStepsScheduler().execute(model_type, steps, denoise).result + + @classmethod + def execute(cls, model_type, steps, denoise) -> io.NodeOutput: + total_steps = steps + if denoise < 1.0: + if denoise <= 0.0: + return io.NodeOutput(torch.FloatTensor([])) + total_steps = round(steps * denoise) + + sigmas = NOISE_LEVELS[model_type][:] + if (steps + 1) != len(sigmas): + sigmas = loglinear_interp(sigmas, steps + 1) + + sigmas = sigmas[-(total_steps + 1):] + sigmas[-1] = 0 + return io.NodeOutput(torch.FloatTensor(sigmas)) + + +class AlignYourStepsExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + AlignYourStepsScheduler, + ] + +async def comfy_entrypoint() -> AlignYourStepsExtension: + return AlignYourStepsExtension() diff --git a/comfy_extras/nodes_apg.py b/comfy_extras/nodes_apg.py new file mode 100644 index 0000000000000000000000000000000000000000..f27ae7da8ce795d1148e12e43016edaefabcb151 --- /dev/null +++ b/comfy_extras/nodes_apg.py @@ -0,0 +1,106 @@ +import torch +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io + + +def project(v0, v1): + v1 = torch.nn.functional.normalize(v1, dim=[-1, -2, -3]) + v0_parallel = (v0 * v1).sum(dim=[-1, -2, -3], keepdim=True) * v1 + v0_orthogonal = v0 - v0_parallel + return v0_parallel, v0_orthogonal + +class APG(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="APG", + display_name="Adaptive Projected Guidance", + category="sampling/custom_sampling", + inputs=[ + io.Model.Input("model"), + io.Float.Input( + "eta", + default=1.0, + min=-10.0, + max=10.0, + step=0.01, + tooltip="Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1.", + ), + io.Float.Input( + "norm_threshold", + default=5.0, + min=0.0, + max=50.0, + step=0.1, + tooltip="Normalize guidance vector to this value, normalization disable at a setting of 0.", + ), + io.Float.Input( + "momentum", + default=0.0, + min=-5.0, + max=1.0, + step=0.01, + tooltip="Controls a running average of guidance during diffusion, disabled at a setting of 0.", + ), + ], + outputs=[io.Model.Output()], + ) + + @classmethod + def execute(cls, model, eta, norm_threshold, momentum) -> io.NodeOutput: + running_avg = 0 + prev_sigma = None + + def pre_cfg_function(args): + nonlocal running_avg, prev_sigma + + if len(args["conds_out"]) == 1: return args["conds_out"] + + cond = args["conds_out"][0] + uncond = args["conds_out"][1] + sigma = args["sigma"][0] + cond_scale = args["cond_scale"] + + if prev_sigma is not None and sigma > prev_sigma: + running_avg = 0 + prev_sigma = sigma + + guidance = cond - uncond + + if momentum != 0: + if not torch.is_tensor(running_avg): + running_avg = guidance + else: + running_avg = momentum * running_avg + guidance + guidance = running_avg + + if norm_threshold > 0: + guidance_norm = guidance.norm(p=2, dim=[-1, -2, -3], keepdim=True) + scale = torch.minimum( + torch.ones_like(guidance_norm), + norm_threshold / guidance_norm + ) + guidance = guidance * scale + + guidance_parallel, guidance_orthogonal = project(guidance, cond) + modified_guidance = guidance_orthogonal + eta * guidance_parallel + + modified_cond = (uncond + modified_guidance) + (cond - uncond) / cond_scale + + return [modified_cond, uncond] + args["conds_out"][2:] + + m = model.clone() + m.set_model_sampler_pre_cfg_function(pre_cfg_function) + return io.NodeOutput(m) + + +class ApgExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + APG, + ] + +async def comfy_entrypoint() -> ApgExtension: + return ApgExtension() diff --git a/comfy_extras/nodes_attention_multiply.py b/comfy_extras/nodes_attention_multiply.py new file mode 100644 index 0000000000000000000000000000000000000000..c0e494c2ad191f63f6e3e9ccf58eced0a203aed5 --- /dev/null +++ b/comfy_extras/nodes_attention_multiply.py @@ -0,0 +1,150 @@ +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io + + +def attention_multiply(attn, model, q, k, v, out): + m = model.clone() + sd = model.model_state_dict() + + for key in sd: + if key.endswith("{}.to_q.bias".format(attn)) or key.endswith("{}.to_q.weight".format(attn)): + m.add_patches({key: (None,)}, 0.0, q) + if key.endswith("{}.to_k.bias".format(attn)) or key.endswith("{}.to_k.weight".format(attn)): + m.add_patches({key: (None,)}, 0.0, k) + if key.endswith("{}.to_v.bias".format(attn)) or key.endswith("{}.to_v.weight".format(attn)): + m.add_patches({key: (None,)}, 0.0, v) + if key.endswith("{}.to_out.0.bias".format(attn)) or key.endswith("{}.to_out.0.weight".format(attn)): + m.add_patches({key: (None,)}, 0.0, out) + + return m + + +class UNetSelfAttentionMultiply(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="UNetSelfAttentionMultiply", + category="_for_testing/attention_experiments", + inputs=[ + io.Model.Input("model"), + io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("k", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("v", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("out", default=1.0, min=0.0, max=10.0, step=0.01), + ], + outputs=[io.Model.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, model, q, k, v, out) -> io.NodeOutput: + m = attention_multiply("attn1", model, q, k, v, out) + return io.NodeOutput(m) + + +class UNetCrossAttentionMultiply(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="UNetCrossAttentionMultiply", + category="_for_testing/attention_experiments", + inputs=[ + io.Model.Input("model"), + io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("k", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("v", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("out", default=1.0, min=0.0, max=10.0, step=0.01), + ], + outputs=[io.Model.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, model, q, k, v, out) -> io.NodeOutput: + m = attention_multiply("attn2", model, q, k, v, out) + return io.NodeOutput(m) + + +class CLIPAttentionMultiply(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="CLIPAttentionMultiply", + category="_for_testing/attention_experiments", + inputs=[ + io.Clip.Input("clip"), + io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("k", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("v", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("out", default=1.0, min=0.0, max=10.0, step=0.01), + ], + outputs=[io.Clip.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, clip, q, k, v, out) -> io.NodeOutput: + m = clip.clone() + sd = m.patcher.model_state_dict() + + for key in sd: + if key.endswith("self_attn.q_proj.weight") or key.endswith("self_attn.q_proj.bias"): + m.add_patches({key: (None,)}, 0.0, q) + if key.endswith("self_attn.k_proj.weight") or key.endswith("self_attn.k_proj.bias"): + m.add_patches({key: (None,)}, 0.0, k) + if key.endswith("self_attn.v_proj.weight") or key.endswith("self_attn.v_proj.bias"): + m.add_patches({key: (None,)}, 0.0, v) + if key.endswith("self_attn.out_proj.weight") or key.endswith("self_attn.out_proj.bias"): + m.add_patches({key: (None,)}, 0.0, out) + return io.NodeOutput(m) + + +class UNetTemporalAttentionMultiply(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="UNetTemporalAttentionMultiply", + category="_for_testing/attention_experiments", + inputs=[ + io.Model.Input("model"), + io.Float.Input("self_structural", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("self_temporal", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("cross_structural", default=1.0, min=0.0, max=10.0, step=0.01), + io.Float.Input("cross_temporal", default=1.0, min=0.0, max=10.0, step=0.01), + ], + outputs=[io.Model.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, model, self_structural, self_temporal, cross_structural, cross_temporal) -> io.NodeOutput: + m = model.clone() + sd = model.model_state_dict() + + for k in sd: + if (k.endswith("attn1.to_out.0.bias") or k.endswith("attn1.to_out.0.weight")): + if '.time_stack.' in k: + m.add_patches({k: (None,)}, 0.0, self_temporal) + else: + m.add_patches({k: (None,)}, 0.0, self_structural) + elif (k.endswith("attn2.to_out.0.bias") or k.endswith("attn2.to_out.0.weight")): + if '.time_stack.' in k: + m.add_patches({k: (None,)}, 0.0, cross_temporal) + else: + m.add_patches({k: (None,)}, 0.0, cross_structural) + return io.NodeOutput(m) + + +class AttentionMultiplyExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + UNetSelfAttentionMultiply, + UNetCrossAttentionMultiply, + CLIPAttentionMultiply, + UNetTemporalAttentionMultiply, + ] + +async def comfy_entrypoint() -> AttentionMultiplyExtension: + return AttentionMultiplyExtension() diff --git a/comfy_extras/nodes_audio.py b/comfy_extras/nodes_audio.py new file mode 100644 index 0000000000000000000000000000000000000000..3b23f65d8aa30e7bdfe0fffa8adae08885f8127f --- /dev/null +++ b/comfy_extras/nodes_audio.py @@ -0,0 +1,390 @@ +from __future__ import annotations + +import av +import torchaudio +import torch +import comfy.model_management +import folder_paths +import os +import io +import json +import random +import hashlib +import node_helpers +from comfy.cli_args import args +from comfy.comfy_types import FileLocator + +class EmptyLatentAudio: + def __init__(self): + self.device = comfy.model_management.intermediate_device() + + @classmethod + def INPUT_TYPES(s): + return {"required": {"seconds": ("FLOAT", {"default": 47.6, "min": 1.0, "max": 1000.0, "step": 0.1}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096, "tooltip": "The number of latent images in the batch."}), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent/audio" + + def generate(self, seconds, batch_size): + length = round((seconds * 44100 / 2048) / 2) * 2 + latent = torch.zeros([batch_size, 64, length], device=self.device) + return ({"samples":latent, "type": "audio"}, ) + +class ConditioningStableAudio: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "seconds_start": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1000.0, "step": 0.1}), + "seconds_total": ("FLOAT", {"default": 47.0, "min": 0.0, "max": 1000.0, "step": 0.1}), + }} + + RETURN_TYPES = ("CONDITIONING","CONDITIONING") + RETURN_NAMES = ("positive", "negative") + + FUNCTION = "append" + + CATEGORY = "conditioning" + + def append(self, positive, negative, seconds_start, seconds_total): + positive = node_helpers.conditioning_set_values(positive, {"seconds_start": seconds_start, "seconds_total": seconds_total}) + negative = node_helpers.conditioning_set_values(negative, {"seconds_start": seconds_start, "seconds_total": seconds_total}) + return (positive, negative) + +class VAEEncodeAudio: + @classmethod + def INPUT_TYPES(s): + return {"required": { "audio": ("AUDIO", ), "vae": ("VAE", )}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "encode" + + CATEGORY = "latent/audio" + + def encode(self, vae, audio): + sample_rate = audio["sample_rate"] + if 44100 != sample_rate: + waveform = torchaudio.functional.resample(audio["waveform"], sample_rate, 44100) + else: + waveform = audio["waveform"] + + t = vae.encode(waveform.movedim(1, -1)) + return ({"samples":t}, ) + +class VAEDecodeAudio: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT", ), "vae": ("VAE", )}} + RETURN_TYPES = ("AUDIO",) + FUNCTION = "decode" + + CATEGORY = "latent/audio" + + def decode(self, vae, samples): + audio = vae.decode(samples["samples"]).movedim(-1, 1) + std = torch.std(audio, dim=[1,2], keepdim=True) * 5.0 + std[std < 1.0] = 1.0 + audio /= std + return ({"waveform": audio, "sample_rate": 44100}, ) + + +def save_audio(self, audio, filename_prefix="ComfyUI", format="flac", prompt=None, extra_pnginfo=None, quality="128k"): + + filename_prefix += self.prefix_append + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir) + results: list[FileLocator] = [] + + # Prepare metadata dictionary + metadata = {} + if not args.disable_metadata: + if prompt is not None: + metadata["prompt"] = json.dumps(prompt) + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata[x] = json.dumps(extra_pnginfo[x]) + + # Opus supported sample rates + OPUS_RATES = [8000, 12000, 16000, 24000, 48000] + + for (batch_number, waveform) in enumerate(audio["waveform"].cpu()): + filename_with_batch_num = filename.replace("%batch_num%", str(batch_number)) + file = f"{filename_with_batch_num}_{counter:05}_.{format}" + output_path = os.path.join(full_output_folder, file) + + # Use original sample rate initially + sample_rate = audio["sample_rate"] + + # Handle Opus sample rate requirements + if format == "opus": + if sample_rate > 48000: + sample_rate = 48000 + elif sample_rate not in OPUS_RATES: + # Find the next highest supported rate + for rate in sorted(OPUS_RATES): + if rate > sample_rate: + sample_rate = rate + break + if sample_rate not in OPUS_RATES: # Fallback if still not supported + sample_rate = 48000 + + # Resample if necessary + if sample_rate != audio["sample_rate"]: + waveform = torchaudio.functional.resample(waveform, audio["sample_rate"], sample_rate) + + # Create output with specified format + output_buffer = io.BytesIO() + output_container = av.open(output_buffer, mode='w', format=format) + + # Set metadata on the container + for key, value in metadata.items(): + output_container.metadata[key] = value + + # Set up the output stream with appropriate properties + if format == "opus": + out_stream = output_container.add_stream("libopus", rate=sample_rate) + if quality == "64k": + out_stream.bit_rate = 64000 + elif quality == "96k": + out_stream.bit_rate = 96000 + elif quality == "128k": + out_stream.bit_rate = 128000 + elif quality == "192k": + out_stream.bit_rate = 192000 + elif quality == "320k": + out_stream.bit_rate = 320000 + elif format == "mp3": + out_stream = output_container.add_stream("libmp3lame", rate=sample_rate) + if quality == "V0": + #TODO i would really love to support V3 and V5 but there doesn't seem to be a way to set the qscale level, the property below is a bool + out_stream.codec_context.qscale = 1 + elif quality == "128k": + out_stream.bit_rate = 128000 + elif quality == "320k": + out_stream.bit_rate = 320000 + else: #format == "flac": + out_stream = output_container.add_stream("flac", rate=sample_rate) + + frame = av.AudioFrame.from_ndarray(waveform.movedim(0, 1).reshape(1, -1).float().numpy(), format='flt', layout='mono' if waveform.shape[0] == 1 else 'stereo') + frame.sample_rate = sample_rate + frame.pts = 0 + output_container.mux(out_stream.encode(frame)) + + # Flush encoder + output_container.mux(out_stream.encode(None)) + + # Close containers + output_container.close() + + # Write the output to file + output_buffer.seek(0) + with open(output_path, 'wb') as f: + f.write(output_buffer.getbuffer()) + + results.append({ + "filename": file, + "subfolder": subfolder, + "type": self.type + }) + counter += 1 + + return { "ui": { "audio": results } } + +class SaveAudio: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + + @classmethod + def INPUT_TYPES(s): + return {"required": { "audio": ("AUDIO", ), + "filename_prefix": ("STRING", {"default": "audio/ComfyUI"}), + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + RETURN_TYPES = () + FUNCTION = "save_flac" + + OUTPUT_NODE = True + + CATEGORY = "audio" + + def save_flac(self, audio, filename_prefix="ComfyUI", format="flac", prompt=None, extra_pnginfo=None): + return save_audio(self, audio, filename_prefix, format, prompt, extra_pnginfo) + +class SaveAudioMP3: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + + @classmethod + def INPUT_TYPES(s): + return {"required": { "audio": ("AUDIO", ), + "filename_prefix": ("STRING", {"default": "audio/ComfyUI"}), + "quality": (["V0", "128k", "320k"], {"default": "V0"}), + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + RETURN_TYPES = () + FUNCTION = "save_mp3" + + OUTPUT_NODE = True + + CATEGORY = "audio" + + def save_mp3(self, audio, filename_prefix="ComfyUI", format="mp3", prompt=None, extra_pnginfo=None, quality="128k"): + return save_audio(self, audio, filename_prefix, format, prompt, extra_pnginfo, quality) + +class SaveAudioOpus: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + + @classmethod + def INPUT_TYPES(s): + return {"required": { "audio": ("AUDIO", ), + "filename_prefix": ("STRING", {"default": "audio/ComfyUI"}), + "quality": (["64k", "96k", "128k", "192k", "320k"], {"default": "128k"}), + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + RETURN_TYPES = () + FUNCTION = "save_opus" + + OUTPUT_NODE = True + + CATEGORY = "audio" + + def save_opus(self, audio, filename_prefix="ComfyUI", format="opus", prompt=None, extra_pnginfo=None, quality="V3"): + return save_audio(self, audio, filename_prefix, format, prompt, extra_pnginfo, quality) + +class PreviewAudio(SaveAudio): + def __init__(self): + self.output_dir = folder_paths.get_temp_directory() + self.type = "temp" + self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5)) + + @classmethod + def INPUT_TYPES(s): + return {"required": + {"audio": ("AUDIO", ), }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + +def f32_pcm(wav: torch.Tensor) -> torch.Tensor: + """Convert audio to float 32 bits PCM format.""" + if wav.dtype.is_floating_point: + return wav + elif wav.dtype == torch.int16: + return wav.float() / (2 ** 15) + elif wav.dtype == torch.int32: + return wav.float() / (2 ** 31) + raise ValueError(f"Unsupported wav dtype: {wav.dtype}") + +def load(filepath: str) -> tuple[torch.Tensor, int]: + with av.open(filepath) as af: + if not af.streams.audio: + raise ValueError("No audio stream found in the file.") + + stream = af.streams.audio[0] + sr = stream.codec_context.sample_rate + n_channels = stream.channels + + frames = [] + length = 0 + for frame in af.decode(streams=stream.index): + buf = torch.from_numpy(frame.to_ndarray()) + if buf.shape[0] != n_channels: + buf = buf.view(-1, n_channels).t() + + frames.append(buf) + length += buf.shape[1] + + if not frames: + raise ValueError("No audio frames decoded.") + + wav = torch.cat(frames, dim=1) + wav = f32_pcm(wav) + return wav, sr + +class LoadAudio: + @classmethod + def INPUT_TYPES(s): + input_dir = folder_paths.get_input_directory() + files = folder_paths.filter_files_content_types(os.listdir(input_dir), ["audio", "video"]) + return {"required": {"audio": (sorted(files), {"audio_upload": True})}} + + CATEGORY = "audio" + + RETURN_TYPES = ("AUDIO", ) + FUNCTION = "load" + + def load(self, audio): + audio_path = folder_paths.get_annotated_filepath(audio) + waveform, sample_rate = load(audio_path) + audio = {"waveform": waveform.unsqueeze(0), "sample_rate": sample_rate} + return (audio, ) + + @classmethod + def IS_CHANGED(s, audio): + image_path = folder_paths.get_annotated_filepath(audio) + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + return m.digest().hex() + + @classmethod + def VALIDATE_INPUTS(s, audio): + if not folder_paths.exists_annotated_filepath(audio): + return "Invalid audio file: {}".format(audio) + return True + +class RecordAudio: + @classmethod + def INPUT_TYPES(s): + return {"required": {"audio": ("AUDIO_RECORD", {})}} + + CATEGORY = "audio" + + RETURN_TYPES = ("AUDIO", ) + FUNCTION = "load" + + def load(self, audio): + audio_path = folder_paths.get_annotated_filepath(audio) + + waveform, sample_rate = torchaudio.load(audio_path) + audio = {"waveform": waveform.unsqueeze(0), "sample_rate": sample_rate} + return (audio, ) + + +NODE_CLASS_MAPPINGS = { + "EmptyLatentAudio": EmptyLatentAudio, + "VAEEncodeAudio": VAEEncodeAudio, + "VAEDecodeAudio": VAEDecodeAudio, + "SaveAudio": SaveAudio, + "SaveAudioMP3": SaveAudioMP3, + "SaveAudioOpus": SaveAudioOpus, + "LoadAudio": LoadAudio, + "PreviewAudio": PreviewAudio, + "ConditioningStableAudio": ConditioningStableAudio, + "RecordAudio": RecordAudio, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "EmptyLatentAudio": "Empty Latent Audio", + "VAEEncodeAudio": "VAE Encode Audio", + "VAEDecodeAudio": "VAE Decode Audio", + "PreviewAudio": "Preview Audio", + "LoadAudio": "Load Audio", + "SaveAudio": "Save Audio (FLAC)", + "SaveAudioMP3": "Save Audio (MP3)", + "SaveAudioOpus": "Save Audio (Opus)", + "RecordAudio": "Record Audio", +} diff --git a/comfy_extras/nodes_audio_encoder.py b/comfy_extras/nodes_audio_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..39a140fef1820c3a4c67ddbe7df4db092748ca15 --- /dev/null +++ b/comfy_extras/nodes_audio_encoder.py @@ -0,0 +1,44 @@ +import folder_paths +import comfy.audio_encoders.audio_encoders +import comfy.utils + + +class AudioEncoderLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "audio_encoder_name": (folder_paths.get_filename_list("audio_encoders"), ), + }} + RETURN_TYPES = ("AUDIO_ENCODER",) + FUNCTION = "load_model" + + CATEGORY = "loaders" + + def load_model(self, audio_encoder_name): + audio_encoder_name = folder_paths.get_full_path_or_raise("audio_encoders", audio_encoder_name) + sd = comfy.utils.load_torch_file(audio_encoder_name, safe_load=True) + audio_encoder = comfy.audio_encoders.audio_encoders.load_audio_encoder_from_sd(sd) + if audio_encoder is None: + raise RuntimeError("ERROR: audio encoder file is invalid and does not contain a valid model.") + return (audio_encoder,) + + +class AudioEncoderEncode: + @classmethod + def INPUT_TYPES(s): + return {"required": { "audio_encoder": ("AUDIO_ENCODER",), + "audio": ("AUDIO",), + }} + RETURN_TYPES = ("AUDIO_ENCODER_OUTPUT",) + FUNCTION = "encode" + + CATEGORY = "conditioning" + + def encode(self, audio_encoder, audio): + output = audio_encoder.encode_audio(audio["waveform"], audio["sample_rate"]) + return (output,) + + +NODE_CLASS_MAPPINGS = { + "AudioEncoderLoader": AudioEncoderLoader, + "AudioEncoderEncode": AudioEncoderEncode, +} diff --git a/comfy_extras/nodes_camera_trajectory.py b/comfy_extras/nodes_camera_trajectory.py new file mode 100644 index 0000000000000000000000000000000000000000..eb7ef363cb3e3e3c6d4dbf09176b6678215b2b44 --- /dev/null +++ b/comfy_extras/nodes_camera_trajectory.py @@ -0,0 +1,239 @@ +import nodes +import torch +import numpy as np +from einops import rearrange +from typing_extensions import override +import comfy.model_management + +from comfy_api.latest import ComfyExtension, io + + +CAMERA_DICT = { + "base_T_norm": 1.5, + "base_angle": np.pi/3, + "Static": { "angle":[0., 0., 0.], "T":[0., 0., 0.]}, + "Pan Up": { "angle":[0., 0., 0.], "T":[0., -1., 0.]}, + "Pan Down": { "angle":[0., 0., 0.], "T":[0.,1.,0.]}, + "Pan Left": { "angle":[0., 0., 0.], "T":[-1.,0.,0.]}, + "Pan Right": { "angle":[0., 0., 0.], "T": [1.,0.,0.]}, + "Zoom In": { "angle":[0., 0., 0.], "T": [0.,0.,2.]}, + "Zoom Out": { "angle":[0., 0., 0.], "T": [0.,0.,-2.]}, + "Anti Clockwise (ACW)": { "angle": [0., 0., -1.], "T":[0., 0., 0.]}, + "ClockWise (CW)": { "angle": [0., 0., 1.], "T":[0., 0., 0.]}, +} + + +def process_pose_params(cam_params, width=672, height=384, original_pose_width=1280, original_pose_height=720, device='cpu'): + + def get_relative_pose(cam_params): + """Copied from https://github.com/hehao13/CameraCtrl/blob/main/inference.py + """ + abs_w2cs = [cam_param.w2c_mat for cam_param in cam_params] + abs_c2ws = [cam_param.c2w_mat for cam_param in cam_params] + cam_to_origin = 0 + target_cam_c2w = np.array([ + [1, 0, 0, 0], + [0, 1, 0, -cam_to_origin], + [0, 0, 1, 0], + [0, 0, 0, 1] + ]) + abs2rel = target_cam_c2w @ abs_w2cs[0] + ret_poses = [target_cam_c2w, ] + [abs2rel @ abs_c2w for abs_c2w in abs_c2ws[1:]] + ret_poses = np.array(ret_poses, dtype=np.float32) + return ret_poses + + """Modified from https://github.com/hehao13/CameraCtrl/blob/main/inference.py + """ + cam_params = [Camera(cam_param) for cam_param in cam_params] + + sample_wh_ratio = width / height + pose_wh_ratio = original_pose_width / original_pose_height # Assuming placeholder ratios, change as needed + + if pose_wh_ratio > sample_wh_ratio: + resized_ori_w = height * pose_wh_ratio + for cam_param in cam_params: + cam_param.fx = resized_ori_w * cam_param.fx / width + else: + resized_ori_h = width / pose_wh_ratio + for cam_param in cam_params: + cam_param.fy = resized_ori_h * cam_param.fy / height + + intrinsic = np.asarray([[cam_param.fx * width, + cam_param.fy * height, + cam_param.cx * width, + cam_param.cy * height] + for cam_param in cam_params], dtype=np.float32) + + K = torch.as_tensor(intrinsic)[None] # [1, 1, 4] + c2ws = get_relative_pose(cam_params) # Assuming this function is defined elsewhere + c2ws = torch.as_tensor(c2ws)[None] # [1, n_frame, 4, 4] + plucker_embedding = ray_condition(K, c2ws, height, width, device=device)[0].permute(0, 3, 1, 2).contiguous() # V, 6, H, W + plucker_embedding = plucker_embedding[None] + plucker_embedding = rearrange(plucker_embedding, "b f c h w -> b f h w c")[0] + return plucker_embedding + +class Camera(object): + """Copied from https://github.com/hehao13/CameraCtrl/blob/main/inference.py + """ + def __init__(self, entry): + fx, fy, cx, cy = entry[1:5] + self.fx = fx + self.fy = fy + self.cx = cx + self.cy = cy + c2w_mat = np.array(entry[7:]).reshape(4, 4) + self.c2w_mat = c2w_mat + self.w2c_mat = np.linalg.inv(c2w_mat) + +def ray_condition(K, c2w, H, W, device): + """Copied from https://github.com/hehao13/CameraCtrl/blob/main/inference.py + """ + # c2w: B, V, 4, 4 + # K: B, V, 4 + + B = K.shape[0] + + j, i = torch.meshgrid( + torch.linspace(0, H - 1, H, device=device, dtype=c2w.dtype), + torch.linspace(0, W - 1, W, device=device, dtype=c2w.dtype), + indexing='ij' + ) + i = i.reshape([1, 1, H * W]).expand([B, 1, H * W]) + 0.5 # [B, HxW] + j = j.reshape([1, 1, H * W]).expand([B, 1, H * W]) + 0.5 # [B, HxW] + + fx, fy, cx, cy = K.chunk(4, dim=-1) # B,V, 1 + + zs = torch.ones_like(i) # [B, HxW] + xs = (i - cx) / fx * zs + ys = (j - cy) / fy * zs + zs = zs.expand_as(ys) + + directions = torch.stack((xs, ys, zs), dim=-1) # B, V, HW, 3 + directions = directions / directions.norm(dim=-1, keepdim=True) # B, V, HW, 3 + + rays_d = directions @ c2w[..., :3, :3].transpose(-1, -2) # B, V, 3, HW + rays_o = c2w[..., :3, 3] # B, V, 3 + rays_o = rays_o[:, :, None].expand_as(rays_d) # B, V, 3, HW + # c2w @ dirctions + rays_dxo = torch.cross(rays_o, rays_d) + plucker = torch.cat([rays_dxo, rays_d], dim=-1) + plucker = plucker.reshape(B, c2w.shape[1], H, W, 6) # B, V, H, W, 6 + # plucker = plucker.permute(0, 1, 4, 2, 3) + return plucker + +def get_camera_motion(angle, T, speed, n=81): + def compute_R_form_rad_angle(angles): + theta_x, theta_y, theta_z = angles + Rx = np.array([[1, 0, 0], + [0, np.cos(theta_x), -np.sin(theta_x)], + [0, np.sin(theta_x), np.cos(theta_x)]]) + + Ry = np.array([[np.cos(theta_y), 0, np.sin(theta_y)], + [0, 1, 0], + [-np.sin(theta_y), 0, np.cos(theta_y)]]) + + Rz = np.array([[np.cos(theta_z), -np.sin(theta_z), 0], + [np.sin(theta_z), np.cos(theta_z), 0], + [0, 0, 1]]) + + R = np.dot(Rz, np.dot(Ry, Rx)) + return R + RT = [] + for i in range(n): + _angle = (i/n)*speed*(CAMERA_DICT["base_angle"])*angle + R = compute_R_form_rad_angle(_angle) + _T=(i/n)*speed*(CAMERA_DICT["base_T_norm"])*(T.reshape(3,1)) + _RT = np.concatenate([R,_T], axis=1) + RT.append(_RT) + RT = np.stack(RT) + return RT + +class WanCameraEmbedding(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanCameraEmbedding", + category="camera", + inputs=[ + io.Combo.Input( + "camera_pose", + options=[ + "Static", + "Pan Up", + "Pan Down", + "Pan Left", + "Pan Right", + "Zoom In", + "Zoom Out", + "Anti Clockwise (ACW)", + "ClockWise (CW)", + ], + default="Static", + ), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Float.Input("speed", default=1.0, min=0, max=10.0, step=0.1, optional=True), + io.Float.Input("fx", default=0.5, min=0, max=1, step=0.000000001, optional=True), + io.Float.Input("fy", default=0.5, min=0, max=1, step=0.000000001, optional=True), + io.Float.Input("cx", default=0.5, min=0, max=1, step=0.01, optional=True), + io.Float.Input("cy", default=0.5, min=0, max=1, step=0.01, optional=True), + ], + outputs=[ + io.WanCameraEmbedding.Output(display_name="camera_embedding"), + io.Int.Output(display_name="width"), + io.Int.Output(display_name="height"), + io.Int.Output(display_name="length"), + ], + ) + + @classmethod + def execute(cls, camera_pose, width, height, length, speed=1.0, fx=0.5, fy=0.5, cx=0.5, cy=0.5) -> io.NodeOutput: + """ + Use Camera trajectory as extrinsic parameters to calculate Plücker embeddings (Sitzmannet al., 2021) + Adapted from https://github.com/aigc-apps/VideoX-Fun/blob/main/comfyui/comfyui_nodes.py + """ + motion_list = [camera_pose] + speed = speed + angle = np.array(CAMERA_DICT[motion_list[0]]["angle"]) + T = np.array(CAMERA_DICT[motion_list[0]]["T"]) + RT = get_camera_motion(angle, T, speed, length) + + trajs=[] + for cp in RT.tolist(): + traj=[fx,fy,cx,cy,0,0] + traj.extend(cp[0]) + traj.extend(cp[1]) + traj.extend(cp[2]) + traj.extend([0,0,0,1]) + trajs.append(traj) + + cam_params = np.array([[float(x) for x in pose] for pose in trajs]) + cam_params = np.concatenate([np.zeros_like(cam_params[:, :1]), cam_params], 1) + control_camera_video = process_pose_params(cam_params, width=width, height=height) + control_camera_video = control_camera_video.permute([3, 0, 1, 2]).unsqueeze(0).to(device=comfy.model_management.intermediate_device()) + + control_camera_video = torch.concat( + [ + torch.repeat_interleave(control_camera_video[:, :, 0:1], repeats=4, dim=2), + control_camera_video[:, :, 1:] + ], dim=2 + ).transpose(1, 2) + + # Reshape, transpose, and view into desired shape + b, f, c, h, w = control_camera_video.shape + control_camera_video = control_camera_video.contiguous().view(b, f // 4, 4, c, h, w).transpose(2, 3) + control_camera_video = control_camera_video.contiguous().view(b, f // 4, c * 4, h, w).transpose(1, 2) + + return io.NodeOutput(control_camera_video, width, height, length) + + +class CameraTrajectoryExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + WanCameraEmbedding, + ] + +async def comfy_entrypoint() -> CameraTrajectoryExtension: + return CameraTrajectoryExtension() diff --git a/comfy_extras/nodes_canny.py b/comfy_extras/nodes_canny.py new file mode 100644 index 0000000000000000000000000000000000000000..576f3640ae9461007ba723580fcf2d8842b63a3f --- /dev/null +++ b/comfy_extras/nodes_canny.py @@ -0,0 +1,41 @@ +from kornia.filters import canny +from typing_extensions import override + +import comfy.model_management +from comfy_api.latest import ComfyExtension, io + + +class Canny(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="Canny", + category="image/preprocessors", + inputs=[ + io.Image.Input("image"), + io.Float.Input("low_threshold", default=0.4, min=0.01, max=0.99, step=0.01), + io.Float.Input("high_threshold", default=0.8, min=0.01, max=0.99, step=0.01), + ], + outputs=[io.Image.Output()], + ) + + @classmethod + def detect_edge(cls, image, low_threshold, high_threshold): + # Deprecated: use the V3 schema's `execute` method instead of this. + return cls.execute(image, low_threshold, high_threshold) + + @classmethod + def execute(cls, image, low_threshold, high_threshold) -> io.NodeOutput: + output = canny(image.to(comfy.model_management.get_torch_device()).movedim(-1, 1), low_threshold, high_threshold) + img_out = output[1].to(comfy.model_management.intermediate_device()).repeat(1, 3, 1, 1).movedim(1, -1) + return io.NodeOutput(img_out) + + +class CannyExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [Canny] + + +async def comfy_entrypoint() -> CannyExtension: + return CannyExtension() diff --git a/comfy_extras/nodes_cfg.py b/comfy_extras/nodes_cfg.py new file mode 100644 index 0000000000000000000000000000000000000000..4ebb4b51eef108fc11d2050e3ee652f2591a45b3 --- /dev/null +++ b/comfy_extras/nodes_cfg.py @@ -0,0 +1,91 @@ +from typing_extensions import override + +import torch + +from comfy_api.latest import ComfyExtension, io + + +# https://github.com/WeichenFan/CFG-Zero-star +def optimized_scale(positive, negative): + positive_flat = positive.reshape(positive.shape[0], -1) + negative_flat = negative.reshape(negative.shape[0], -1) + + # Calculate dot production + dot_product = torch.sum(positive_flat * negative_flat, dim=1, keepdim=True) + + # Squared norm of uncondition + squared_norm = torch.sum(negative_flat ** 2, dim=1, keepdim=True) + 1e-8 + + # st_star = v_cond^T * v_uncond / ||v_uncond||^2 + st_star = dot_product / squared_norm + + return st_star.reshape([positive.shape[0]] + [1] * (positive.ndim - 1)) + +class CFGZeroStar(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="CFGZeroStar", + category="advanced/guidance", + inputs=[ + io.Model.Input("model"), + ], + outputs=[io.Model.Output(display_name="patched_model")], + ) + + @classmethod + def execute(cls, model) -> io.NodeOutput: + m = model.clone() + def cfg_zero_star(args): + guidance_scale = args['cond_scale'] + x = args['input'] + cond_p = args['cond_denoised'] + uncond_p = args['uncond_denoised'] + out = args["denoised"] + alpha = optimized_scale(x - cond_p, x - uncond_p) + + return out + uncond_p * (alpha - 1.0) + guidance_scale * uncond_p * (1.0 - alpha) + m.set_model_sampler_post_cfg_function(cfg_zero_star) + return io.NodeOutput(m) + +class CFGNorm(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="CFGNorm", + category="advanced/guidance", + inputs=[ + io.Model.Input("model"), + io.Float.Input("strength", default=1.0, min=0.0, max=100.0, step=0.01), + ], + outputs=[io.Model.Output(display_name="patched_model")], + is_experimental=True, + ) + + @classmethod + def execute(cls, model, strength) -> io.NodeOutput: + m = model.clone() + def cfg_norm(args): + cond_p = args['cond_denoised'] + pred_text_ = args["denoised"] + + norm_full_cond = torch.norm(cond_p, dim=1, keepdim=True) + norm_pred_text = torch.norm(pred_text_, dim=1, keepdim=True) + scale = (norm_full_cond / (norm_pred_text + 1e-8)).clamp(min=0.0, max=1.0) + return pred_text_ * scale * strength + + m.set_model_sampler_post_cfg_function(cfg_norm) + return io.NodeOutput(m) + + +class CfgExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + CFGZeroStar, + CFGNorm, + ] + + +async def comfy_entrypoint() -> CfgExtension: + return CfgExtension() diff --git a/comfy_extras/nodes_chroma_radiance.py b/comfy_extras/nodes_chroma_radiance.py new file mode 100644 index 0000000000000000000000000000000000000000..381989818b53a3db5b3969a8a2c48975538d144c --- /dev/null +++ b/comfy_extras/nodes_chroma_radiance.py @@ -0,0 +1,114 @@ +from typing_extensions import override +from typing import Callable + +import torch + +import comfy.model_management +from comfy_api.latest import ComfyExtension, io + +import nodes + +class EmptyChromaRadianceLatentImage(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="EmptyChromaRadianceLatentImage", + category="latent/chroma_radiance", + inputs=[ + io.Int.Input(id="width", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input(id="height", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input(id="batch_size", default=1, min=1, max=4096), + ], + outputs=[io.Latent().Output()], + ) + + @classmethod + def execute(cls, *, width: int, height: int, batch_size: int=1) -> io.NodeOutput: + latent = torch.zeros((batch_size, 3, height, width), device=comfy.model_management.intermediate_device()) + return io.NodeOutput({"samples":latent}) + + +class ChromaRadianceOptions(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="ChromaRadianceOptions", + category="model_patches/chroma_radiance", + description="Allows setting advanced options for the Chroma Radiance model.", + inputs=[ + io.Model.Input(id="model"), + io.Boolean.Input( + id="preserve_wrapper", + default=True, + tooltip="When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled.", + ), + io.Float.Input( + id="start_sigma", + default=1.0, + min=0.0, + max=1.0, + tooltip="First sigma that these options will be in effect.", + ), + io.Float.Input( + id="end_sigma", + default=0.0, + min=0.0, + max=1.0, + tooltip="Last sigma that these options will be in effect.", + ), + io.Int.Input( + id="nerf_tile_size", + default=-1, + min=-1, + tooltip="Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM).", + ), + ], + outputs=[io.Model.Output()], + ) + + @classmethod + def execute( + cls, + *, + model: io.Model.Type, + preserve_wrapper: bool, + start_sigma: float, + end_sigma: float, + nerf_tile_size: int, + ) -> io.NodeOutput: + radiance_options = {} + if nerf_tile_size >= 0: + radiance_options["nerf_tile_size"] = nerf_tile_size + + if not radiance_options: + return io.NodeOutput(model) + + old_wrapper = model.model_options.get("model_function_wrapper") + + def model_function_wrapper(apply_model: Callable, args: dict) -> torch.Tensor: + c = args["c"].copy() + sigma = args["timestep"].max().detach().cpu().item() + if end_sigma <= sigma <= start_sigma: + transformer_options = c.get("transformer_options", {}).copy() + transformer_options["chroma_radiance_options"] = radiance_options.copy() + c["transformer_options"] = transformer_options + if not (preserve_wrapper and old_wrapper): + return apply_model(args["input"], args["timestep"], **c) + return old_wrapper(apply_model, args | {"c": c}) + + model = model.clone() + model.set_model_unet_function_wrapper(model_function_wrapper) + return io.NodeOutput(model) + + +class ChromaRadianceExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + EmptyChromaRadianceLatentImage, + ChromaRadianceOptions, + ] + + +async def comfy_entrypoint() -> ChromaRadianceExtension: + return ChromaRadianceExtension() diff --git a/comfy_extras/nodes_clip_sdxl.py b/comfy_extras/nodes_clip_sdxl.py new file mode 100644 index 0000000000000000000000000000000000000000..14269caf352edee45d9f1ca49db3effd5b60b7fb --- /dev/null +++ b/comfy_extras/nodes_clip_sdxl.py @@ -0,0 +1,54 @@ +from nodes import MAX_RESOLUTION + +class CLIPTextEncodeSDXLRefiner: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "ascore": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}), + "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "text": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, ascore, width, height, text): + tokens = clip.tokenize(text) + return (clip.encode_from_tokens_scheduled(tokens, add_dict={"aesthetic_score": ascore, "width": width, "height": height}), ) + +class CLIPTextEncodeSDXL: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "crop_w": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION}), + "crop_h": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION}), + "target_width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "target_height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "text_g": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "text_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, width, height, crop_w, crop_h, target_width, target_height, text_g, text_l): + tokens = clip.tokenize(text_g) + tokens["l"] = clip.tokenize(text_l)["l"] + if len(tokens["l"]) != len(tokens["g"]): + empty = clip.tokenize("") + while len(tokens["l"]) < len(tokens["g"]): + tokens["l"] += empty["l"] + while len(tokens["l"]) > len(tokens["g"]): + tokens["g"] += empty["g"] + return (clip.encode_from_tokens_scheduled(tokens, add_dict={"width": width, "height": height, "crop_w": crop_w, "crop_h": crop_h, "target_width": target_width, "target_height": target_height}), ) + +NODE_CLASS_MAPPINGS = { + "CLIPTextEncodeSDXLRefiner": CLIPTextEncodeSDXLRefiner, + "CLIPTextEncodeSDXL": CLIPTextEncodeSDXL, +} diff --git a/comfy_extras/nodes_compositing.py b/comfy_extras/nodes_compositing.py new file mode 100644 index 0000000000000000000000000000000000000000..2f994fa11d370d31dc5412da90d0582fe6bd6159 --- /dev/null +++ b/comfy_extras/nodes_compositing.py @@ -0,0 +1,214 @@ +import torch +import comfy.utils +from enum import Enum + +def resize_mask(mask, shape): + return torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[0], shape[1]), mode="bilinear").squeeze(1) + +class PorterDuffMode(Enum): + ADD = 0 + CLEAR = 1 + DARKEN = 2 + DST = 3 + DST_ATOP = 4 + DST_IN = 5 + DST_OUT = 6 + DST_OVER = 7 + LIGHTEN = 8 + MULTIPLY = 9 + OVERLAY = 10 + SCREEN = 11 + SRC = 12 + SRC_ATOP = 13 + SRC_IN = 14 + SRC_OUT = 15 + SRC_OVER = 16 + XOR = 17 + + +def porter_duff_composite(src_image: torch.Tensor, src_alpha: torch.Tensor, dst_image: torch.Tensor, dst_alpha: torch.Tensor, mode: PorterDuffMode): + # convert mask to alpha + src_alpha = 1 - src_alpha + dst_alpha = 1 - dst_alpha + # premultiply alpha + src_image = src_image * src_alpha + dst_image = dst_image * dst_alpha + + # composite ops below assume alpha-premultiplied images + if mode == PorterDuffMode.ADD: + out_alpha = torch.clamp(src_alpha + dst_alpha, 0, 1) + out_image = torch.clamp(src_image + dst_image, 0, 1) + elif mode == PorterDuffMode.CLEAR: + out_alpha = torch.zeros_like(dst_alpha) + out_image = torch.zeros_like(dst_image) + elif mode == PorterDuffMode.DARKEN: + out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha + out_image = (1 - dst_alpha) * src_image + (1 - src_alpha) * dst_image + torch.min(src_image, dst_image) + elif mode == PorterDuffMode.DST: + out_alpha = dst_alpha + out_image = dst_image + elif mode == PorterDuffMode.DST_ATOP: + out_alpha = src_alpha + out_image = src_alpha * dst_image + (1 - dst_alpha) * src_image + elif mode == PorterDuffMode.DST_IN: + out_alpha = src_alpha * dst_alpha + out_image = dst_image * src_alpha + elif mode == PorterDuffMode.DST_OUT: + out_alpha = (1 - src_alpha) * dst_alpha + out_image = (1 - src_alpha) * dst_image + elif mode == PorterDuffMode.DST_OVER: + out_alpha = dst_alpha + (1 - dst_alpha) * src_alpha + out_image = dst_image + (1 - dst_alpha) * src_image + elif mode == PorterDuffMode.LIGHTEN: + out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha + out_image = (1 - dst_alpha) * src_image + (1 - src_alpha) * dst_image + torch.max(src_image, dst_image) + elif mode == PorterDuffMode.MULTIPLY: + out_alpha = src_alpha * dst_alpha + out_image = src_image * dst_image + elif mode == PorterDuffMode.OVERLAY: + out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha + out_image = torch.where(2 * dst_image < dst_alpha, 2 * src_image * dst_image, + src_alpha * dst_alpha - 2 * (dst_alpha - src_image) * (src_alpha - dst_image)) + elif mode == PorterDuffMode.SCREEN: + out_alpha = src_alpha + dst_alpha - src_alpha * dst_alpha + out_image = src_image + dst_image - src_image * dst_image + elif mode == PorterDuffMode.SRC: + out_alpha = src_alpha + out_image = src_image + elif mode == PorterDuffMode.SRC_ATOP: + out_alpha = dst_alpha + out_image = dst_alpha * src_image + (1 - src_alpha) * dst_image + elif mode == PorterDuffMode.SRC_IN: + out_alpha = src_alpha * dst_alpha + out_image = src_image * dst_alpha + elif mode == PorterDuffMode.SRC_OUT: + out_alpha = (1 - dst_alpha) * src_alpha + out_image = (1 - dst_alpha) * src_image + elif mode == PorterDuffMode.SRC_OVER: + out_alpha = src_alpha + (1 - src_alpha) * dst_alpha + out_image = src_image + (1 - src_alpha) * dst_image + elif mode == PorterDuffMode.XOR: + out_alpha = (1 - dst_alpha) * src_alpha + (1 - src_alpha) * dst_alpha + out_image = (1 - dst_alpha) * src_image + (1 - src_alpha) * dst_image + else: + return None, None + + # back to non-premultiplied alpha + out_image = torch.where(out_alpha > 1e-5, out_image / out_alpha, torch.zeros_like(out_image)) + out_image = torch.clamp(out_image, 0, 1) + # convert alpha to mask + out_alpha = 1 - out_alpha + return out_image, out_alpha + + +class PorterDuffImageComposite: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "source": ("IMAGE",), + "source_alpha": ("MASK",), + "destination": ("IMAGE",), + "destination_alpha": ("MASK",), + "mode": ([mode.name for mode in PorterDuffMode], {"default": PorterDuffMode.DST.name}), + }, + } + + RETURN_TYPES = ("IMAGE", "MASK") + FUNCTION = "composite" + CATEGORY = "mask/compositing" + + def composite(self, source: torch.Tensor, source_alpha: torch.Tensor, destination: torch.Tensor, destination_alpha: torch.Tensor, mode): + batch_size = min(len(source), len(source_alpha), len(destination), len(destination_alpha)) + out_images = [] + out_alphas = [] + + for i in range(batch_size): + src_image = source[i] + dst_image = destination[i] + + assert src_image.shape[2] == dst_image.shape[2] # inputs need to have same number of channels + + src_alpha = source_alpha[i].unsqueeze(2) + dst_alpha = destination_alpha[i].unsqueeze(2) + + if dst_alpha.shape[:2] != dst_image.shape[:2]: + upscale_input = dst_alpha.unsqueeze(0).permute(0, 3, 1, 2) + upscale_output = comfy.utils.common_upscale(upscale_input, dst_image.shape[1], dst_image.shape[0], upscale_method='bicubic', crop='center') + dst_alpha = upscale_output.permute(0, 2, 3, 1).squeeze(0) + if src_image.shape != dst_image.shape: + upscale_input = src_image.unsqueeze(0).permute(0, 3, 1, 2) + upscale_output = comfy.utils.common_upscale(upscale_input, dst_image.shape[1], dst_image.shape[0], upscale_method='bicubic', crop='center') + src_image = upscale_output.permute(0, 2, 3, 1).squeeze(0) + if src_alpha.shape != dst_alpha.shape: + upscale_input = src_alpha.unsqueeze(0).permute(0, 3, 1, 2) + upscale_output = comfy.utils.common_upscale(upscale_input, dst_alpha.shape[1], dst_alpha.shape[0], upscale_method='bicubic', crop='center') + src_alpha = upscale_output.permute(0, 2, 3, 1).squeeze(0) + + out_image, out_alpha = porter_duff_composite(src_image, src_alpha, dst_image, dst_alpha, PorterDuffMode[mode]) + + out_images.append(out_image) + out_alphas.append(out_alpha.squeeze(2)) + + result = (torch.stack(out_images), torch.stack(out_alphas)) + return result + + +class SplitImageWithAlpha: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + } + } + + CATEGORY = "mask/compositing" + RETURN_TYPES = ("IMAGE", "MASK") + FUNCTION = "split_image_with_alpha" + + def split_image_with_alpha(self, image: torch.Tensor): + out_images = [i[:,:,:3] for i in image] + out_alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image] + result = (torch.stack(out_images), 1.0 - torch.stack(out_alphas)) + return result + + +class JoinImageWithAlpha: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "alpha": ("MASK",), + } + } + + CATEGORY = "mask/compositing" + RETURN_TYPES = ("IMAGE",) + FUNCTION = "join_image_with_alpha" + + def join_image_with_alpha(self, image: torch.Tensor, alpha: torch.Tensor): + batch_size = min(len(image), len(alpha)) + out_images = [] + + alpha = 1.0 - resize_mask(alpha, image.shape[1:]) + for i in range(batch_size): + out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2)) + + result = (torch.stack(out_images),) + return result + + +NODE_CLASS_MAPPINGS = { + "PorterDuffImageComposite": PorterDuffImageComposite, + "SplitImageWithAlpha": SplitImageWithAlpha, + "JoinImageWithAlpha": JoinImageWithAlpha, +} + + +NODE_DISPLAY_NAME_MAPPINGS = { + "PorterDuffImageComposite": "Porter-Duff Image Composite", + "SplitImageWithAlpha": "Split Image with Alpha", + "JoinImageWithAlpha": "Join Image with Alpha", +} diff --git a/comfy_extras/nodes_cond.py b/comfy_extras/nodes_cond.py new file mode 100644 index 0000000000000000000000000000000000000000..8b06e3de9fad7d1b17d152a191942fcaea59cae7 --- /dev/null +++ b/comfy_extras/nodes_cond.py @@ -0,0 +1,68 @@ +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io + + +class CLIPTextEncodeControlnet(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="CLIPTextEncodeControlnet", + category="_for_testing/conditioning", + inputs=[ + io.Clip.Input("clip"), + io.Conditioning.Input("conditioning"), + io.String.Input("text", multiline=True, dynamic_prompts=True), + ], + outputs=[io.Conditioning.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, clip, conditioning, text) -> io.NodeOutput: + tokens = clip.tokenize(text) + cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True) + c = [] + for t in conditioning: + n = [t[0], t[1].copy()] + n[1]['cross_attn_controlnet'] = cond + n[1]['pooled_output_controlnet'] = pooled + c.append(n) + return io.NodeOutput(c) + +class T5TokenizerOptions(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="T5TokenizerOptions", + category="_for_testing/conditioning", + inputs=[ + io.Clip.Input("clip"), + io.Int.Input("min_padding", default=0, min=0, max=10000, step=1), + io.Int.Input("min_length", default=0, min=0, max=10000, step=1), + ], + outputs=[io.Clip.Output()], + is_experimental=True, + ) + + @classmethod + def execute(cls, clip, min_padding, min_length) -> io.NodeOutput: + clip = clip.clone() + for t5_type in ["t5xxl", "pile_t5xl", "t5base", "mt5xl", "umt5xxl"]: + clip.set_tokenizer_option("{}_min_padding".format(t5_type), min_padding) + clip.set_tokenizer_option("{}_min_length".format(t5_type), min_length) + + return io.NodeOutput(clip) + + +class CondExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + CLIPTextEncodeControlnet, + T5TokenizerOptions, + ] + + +async def comfy_entrypoint() -> CondExtension: + return CondExtension() diff --git a/comfy_extras/nodes_context_windows.py b/comfy_extras/nodes_context_windows.py new file mode 100644 index 0000000000000000000000000000000000000000..1c3d9e697d6b3a0352e72403bd657d154b8421b4 --- /dev/null +++ b/comfy_extras/nodes_context_windows.py @@ -0,0 +1,89 @@ +from __future__ import annotations +from comfy_api.latest import ComfyExtension, io +import comfy.context_windows +import nodes + + +class ContextWindowsManualNode(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="ContextWindowsManual", + display_name="Context Windows (Manual)", + category="context", + description="Manually set context windows.", + inputs=[ + io.Model.Input("model", tooltip="The model to apply context windows to during sampling."), + io.Int.Input("context_length", min=1, default=16, tooltip="The length of the context window."), + io.Int.Input("context_overlap", min=0, default=4, tooltip="The overlap of the context window."), + io.Combo.Input("context_schedule", options=[ + comfy.context_windows.ContextSchedules.STATIC_STANDARD, + comfy.context_windows.ContextSchedules.UNIFORM_STANDARD, + comfy.context_windows.ContextSchedules.UNIFORM_LOOPED, + comfy.context_windows.ContextSchedules.BATCHED, + ], tooltip="The stride of the context window."), + io.Int.Input("context_stride", min=1, default=1, tooltip="The stride of the context window; only applicable to uniform schedules."), + io.Boolean.Input("closed_loop", default=False, tooltip="Whether to close the context window loop; only applicable to looped schedules."), + io.Combo.Input("fuse_method", options=comfy.context_windows.ContextFuseMethods.LIST_STATIC, default=comfy.context_windows.ContextFuseMethods.PYRAMID, tooltip="The method to use to fuse the context windows."), + io.Int.Input("dim", min=0, max=5, default=0, tooltip="The dimension to apply the context windows to."), + ], + outputs=[ + io.Model.Output(tooltip="The model with context windows applied during sampling."), + ], + is_experimental=True, + ) + + @classmethod + def execute(cls, model: io.Model.Type, context_length: int, context_overlap: int, context_schedule: str, context_stride: int, closed_loop: bool, fuse_method: str, dim: int) -> io.Model: + model = model.clone() + model.model_options["context_handler"] = comfy.context_windows.IndexListContextHandler( + context_schedule=comfy.context_windows.get_matching_context_schedule(context_schedule), + fuse_method=comfy.context_windows.get_matching_fuse_method(fuse_method), + context_length=context_length, + context_overlap=context_overlap, + context_stride=context_stride, + closed_loop=closed_loop, + dim=dim) + # make memory usage calculation only take into account the context window latents + comfy.context_windows.create_prepare_sampling_wrapper(model) + return io.NodeOutput(model) + +class WanContextWindowsManualNode(ContextWindowsManualNode): + @classmethod + def define_schema(cls) -> io.Schema: + schema = super().define_schema() + schema.node_id = "WanContextWindowsManual" + schema.display_name = "WAN Context Windows (Manual)" + schema.description = "Manually set context windows for WAN-like models (dim=2)." + schema.inputs = [ + io.Model.Input("model", tooltip="The model to apply context windows to during sampling."), + io.Int.Input("context_length", min=1, max=nodes.MAX_RESOLUTION, step=4, default=81, tooltip="The length of the context window."), + io.Int.Input("context_overlap", min=0, default=30, tooltip="The overlap of the context window."), + io.Combo.Input("context_schedule", options=[ + comfy.context_windows.ContextSchedules.STATIC_STANDARD, + comfy.context_windows.ContextSchedules.UNIFORM_STANDARD, + comfy.context_windows.ContextSchedules.UNIFORM_LOOPED, + comfy.context_windows.ContextSchedules.BATCHED, + ], tooltip="The stride of the context window."), + io.Int.Input("context_stride", min=1, default=1, tooltip="The stride of the context window; only applicable to uniform schedules."), + io.Boolean.Input("closed_loop", default=False, tooltip="Whether to close the context window loop; only applicable to looped schedules."), + io.Combo.Input("fuse_method", options=comfy.context_windows.ContextFuseMethods.LIST_STATIC, default=comfy.context_windows.ContextFuseMethods.PYRAMID, tooltip="The method to use to fuse the context windows."), + ] + return schema + + @classmethod + def execute(cls, model: io.Model.Type, context_length: int, context_overlap: int, context_schedule: str, context_stride: int, closed_loop: bool, fuse_method: str) -> io.Model: + context_length = max(((context_length - 1) // 4) + 1, 1) # at least length 1 + context_overlap = max(((context_overlap - 1) // 4) + 1, 0) # at least overlap 0 + return super().execute(model, context_length, context_overlap, context_schedule, context_stride, closed_loop, fuse_method, dim=2) + + +class ContextWindowsExtension(ComfyExtension): + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + ContextWindowsManualNode, + WanContextWindowsManualNode, + ] + +def comfy_entrypoint(): + return ContextWindowsExtension() diff --git a/comfy_extras/nodes_controlnet.py b/comfy_extras/nodes_controlnet.py new file mode 100644 index 0000000000000000000000000000000000000000..2d20e1fed7c26c8115f4b9878b0b54911e7a2e7f --- /dev/null +++ b/comfy_extras/nodes_controlnet.py @@ -0,0 +1,60 @@ +from comfy.cldm.control_types import UNION_CONTROLNET_TYPES +import nodes +import comfy.utils + +class SetUnionControlNetType: + @classmethod + def INPUT_TYPES(s): + return {"required": {"control_net": ("CONTROL_NET", ), + "type": (["auto"] + list(UNION_CONTROLNET_TYPES.keys()),) + }} + + CATEGORY = "conditioning/controlnet" + RETURN_TYPES = ("CONTROL_NET",) + + FUNCTION = "set_controlnet_type" + + def set_controlnet_type(self, control_net, type): + control_net = control_net.copy() + type_number = UNION_CONTROLNET_TYPES.get(type, -1) + if type_number >= 0: + control_net.set_extra_arg("control_type", [type_number]) + else: + control_net.set_extra_arg("control_type", []) + + return (control_net,) + +class ControlNetInpaintingAliMamaApply(nodes.ControlNetApplyAdvanced): + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "control_net": ("CONTROL_NET", ), + "vae": ("VAE", ), + "image": ("IMAGE", ), + "mask": ("MASK", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}) + }} + + FUNCTION = "apply_inpaint_controlnet" + + CATEGORY = "conditioning/controlnet" + + def apply_inpaint_controlnet(self, positive, negative, control_net, vae, image, mask, strength, start_percent, end_percent): + extra_concat = [] + if control_net.concat_mask: + mask = 1.0 - mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])) + mask_apply = comfy.utils.common_upscale(mask, image.shape[2], image.shape[1], "bilinear", "center").round() + image = image * mask_apply.movedim(1, -1).repeat(1, 1, 1, image.shape[3]) + extra_concat = [mask] + + return self.apply_controlnet(positive, negative, control_net, image, strength, start_percent, end_percent, vae=vae, extra_concat=extra_concat) + + + +NODE_CLASS_MAPPINGS = { + "SetUnionControlNetType": SetUnionControlNetType, + "ControlNetInpaintingAliMamaApply": ControlNetInpaintingAliMamaApply, +} diff --git a/comfy_extras/nodes_cosmos.py b/comfy_extras/nodes_cosmos.py new file mode 100644 index 0000000000000000000000000000000000000000..7dd129d199d2ebdcbbf7a0034d9c1a0889f5f1e2 --- /dev/null +++ b/comfy_extras/nodes_cosmos.py @@ -0,0 +1,143 @@ +from typing_extensions import override +import nodes +import torch +import comfy.model_management +import comfy.utils +import comfy.latent_formats + +from comfy_api.latest import ComfyExtension, io + + +class EmptyCosmosLatentVideo(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="EmptyCosmosLatentVideo", + category="latent/video", + inputs=[ + io.Int.Input("width", default=1280, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=704, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=121, min=1, max=nodes.MAX_RESOLUTION, step=8), + io.Int.Input("batch_size", default=1, min=1, max=4096), + ], + outputs=[io.Latent.Output()], + ) + + @classmethod + def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput: + latent = torch.zeros([batch_size, 16, ((length - 1) // 8) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + return io.NodeOutput({"samples": latent}) + + +def vae_encode_with_padding(vae, image, width, height, length, padding=0): + pixels = comfy.utils.common_upscale(image[..., :3].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + pixel_len = min(pixels.shape[0], length) + padded_length = min(length, (((pixel_len - 1) // 8) + 1 + padding) * 8 - 7) + padded_pixels = torch.ones((padded_length, height, width, 3)) * 0.5 + padded_pixels[:pixel_len] = pixels[:pixel_len] + latent_len = ((pixel_len - 1) // 8) + 1 + latent_temp = vae.encode(padded_pixels) + return latent_temp[:, :, :latent_len] + + +class CosmosImageToVideoLatent(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="CosmosImageToVideoLatent", + category="conditioning/inpaint", + inputs=[ + io.Vae.Input("vae"), + io.Int.Input("width", default=1280, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=704, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=121, min=1, max=nodes.MAX_RESOLUTION, step=8), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Image.Input("start_image", optional=True), + io.Image.Input("end_image", optional=True), + ], + outputs=[io.Latent.Output()], + ) + + @classmethod + def execute(cls, vae, width, height, length, batch_size, start_image=None, end_image=None) -> io.NodeOutput: + latent = torch.zeros([1, 16, ((length - 1) // 8) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + if start_image is None and end_image is None: + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(out_latent) + + mask = torch.ones([latent.shape[0], 1, ((length - 1) // 8) + 1, latent.shape[-2], latent.shape[-1]], device=comfy.model_management.intermediate_device()) + + if start_image is not None: + latent_temp = vae_encode_with_padding(vae, start_image, width, height, length, padding=1) + latent[:, :, :latent_temp.shape[-3]] = latent_temp + mask[:, :, :latent_temp.shape[-3]] *= 0.0 + + if end_image is not None: + latent_temp = vae_encode_with_padding(vae, end_image, width, height, length, padding=0) + latent[:, :, -latent_temp.shape[-3]:] = latent_temp + mask[:, :, -latent_temp.shape[-3]:] *= 0.0 + + out_latent = {} + out_latent["samples"] = latent.repeat((batch_size, ) + (1,) * (latent.ndim - 1)) + out_latent["noise_mask"] = mask.repeat((batch_size, ) + (1,) * (mask.ndim - 1)) + return io.NodeOutput(out_latent) + +class CosmosPredict2ImageToVideoLatent(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="CosmosPredict2ImageToVideoLatent", + category="conditioning/inpaint", + inputs=[ + io.Vae.Input("vae"), + io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=93, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Image.Input("start_image", optional=True), + io.Image.Input("end_image", optional=True), + ], + outputs=[io.Latent.Output()], + ) + + @classmethod + def execute(cls, vae, width, height, length, batch_size, start_image=None, end_image=None) -> io.NodeOutput: + latent = torch.zeros([1, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + if start_image is None and end_image is None: + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(out_latent) + + mask = torch.ones([latent.shape[0], 1, ((length - 1) // 4) + 1, latent.shape[-2], latent.shape[-1]], device=comfy.model_management.intermediate_device()) + + if start_image is not None: + latent_temp = vae_encode_with_padding(vae, start_image, width, height, length, padding=1) + latent[:, :, :latent_temp.shape[-3]] = latent_temp + mask[:, :, :latent_temp.shape[-3]] *= 0.0 + + if end_image is not None: + latent_temp = vae_encode_with_padding(vae, end_image, width, height, length, padding=0) + latent[:, :, -latent_temp.shape[-3]:] = latent_temp + mask[:, :, -latent_temp.shape[-3]:] *= 0.0 + + out_latent = {} + latent_format = comfy.latent_formats.Wan21() + latent = latent_format.process_out(latent) * mask + latent * (1.0 - mask) + out_latent["samples"] = latent.repeat((batch_size, ) + (1,) * (latent.ndim - 1)) + out_latent["noise_mask"] = mask.repeat((batch_size, ) + (1,) * (mask.ndim - 1)) + return io.NodeOutput(out_latent) + + +class CosmosExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + EmptyCosmosLatentVideo, + CosmosImageToVideoLatent, + CosmosPredict2ImageToVideoLatent, + ] + + +async def comfy_entrypoint() -> CosmosExtension: + return CosmosExtension() diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py new file mode 100644 index 0000000000000000000000000000000000000000..d011f433b5db84d665dc20349b9b9aa75a703df9 --- /dev/null +++ b/comfy_extras/nodes_custom_sampler.py @@ -0,0 +1,932 @@ +import math +import comfy.samplers +import comfy.sample +from comfy.k_diffusion import sampling as k_diffusion_sampling +from comfy.k_diffusion import sa_solver +from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict +import latent_preview +import torch +import comfy.utils +import node_helpers + + +class BasicScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "scheduler": (comfy.samplers.SCHEDULER_NAMES, ), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, model, scheduler, steps, denoise): + total_steps = steps + if denoise < 1.0: + if denoise <= 0.0: + return (torch.FloatTensor([]),) + total_steps = int(steps/denoise) + + sigmas = comfy.samplers.calculate_sigmas(model.get_model_object("model_sampling"), scheduler, total_steps).cpu() + sigmas = sigmas[-(steps + 1):] + return (sigmas, ) + + +class KarrasScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "rho": ("FLOAT", {"default": 7.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, steps, sigma_max, sigma_min, rho): + sigmas = k_diffusion_sampling.get_sigmas_karras(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, rho=rho) + return (sigmas, ) + +class ExponentialScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, steps, sigma_max, sigma_min): + sigmas = k_diffusion_sampling.get_sigmas_exponential(n=steps, sigma_min=sigma_min, sigma_max=sigma_max) + return (sigmas, ) + +class PolyexponentialScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "rho": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, steps, sigma_max, sigma_min, rho): + sigmas = k_diffusion_sampling.get_sigmas_polyexponential(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, rho=rho) + return (sigmas, ) + +class LaplaceScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "sigma_max": ("FLOAT", {"default": 14.614642, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "sigma_min": ("FLOAT", {"default": 0.0291675, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "mu": ("FLOAT", {"default": 0.0, "min": -10.0, "max": 10.0, "step":0.1, "round": False}), + "beta": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step":0.1, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, steps, sigma_max, sigma_min, mu, beta): + sigmas = k_diffusion_sampling.get_sigmas_laplace(n=steps, sigma_min=sigma_min, sigma_max=sigma_max, mu=mu, beta=beta) + return (sigmas, ) + + +class SDTurboScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "steps": ("INT", {"default": 1, "min": 1, "max": 10}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, model, steps, denoise): + start_step = 10 - int(10 * denoise) + timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps] + sigmas = model.get_model_object("model_sampling").sigma(timesteps) + sigmas = torch.cat([sigmas, sigmas.new_zeros([1])]) + return (sigmas, ) + +class BetaSamplingScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "alpha": ("FLOAT", {"default": 0.6, "min": 0.0, "max": 50.0, "step":0.01, "round": False}), + "beta": ("FLOAT", {"default": 0.6, "min": 0.0, "max": 50.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, model, steps, alpha, beta): + sigmas = comfy.samplers.beta_scheduler(model.get_model_object("model_sampling"), steps, alpha=alpha, beta=beta) + return (sigmas, ) + +class VPScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "beta_d": ("FLOAT", {"default": 19.9, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), #TODO: fix default values + "beta_min": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 5000.0, "step":0.01, "round": False}), + "eps_s": ("FLOAT", {"default": 0.001, "min": 0.0, "max": 1.0, "step":0.0001, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, steps, beta_d, beta_min, eps_s): + sigmas = k_diffusion_sampling.get_sigmas_vp(n=steps, beta_d=beta_d, beta_min=beta_min, eps_s=eps_s) + return (sigmas, ) + +class SplitSigmas: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"sigmas": ("SIGMAS", ), + "step": ("INT", {"default": 0, "min": 0, "max": 10000}), + } + } + RETURN_TYPES = ("SIGMAS","SIGMAS") + RETURN_NAMES = ("high_sigmas", "low_sigmas") + CATEGORY = "sampling/custom_sampling/sigmas" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, sigmas, step): + sigmas1 = sigmas[:step + 1] + sigmas2 = sigmas[step:] + return (sigmas1, sigmas2) + +class SplitSigmasDenoise: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"sigmas": ("SIGMAS", ), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + RETURN_TYPES = ("SIGMAS","SIGMAS") + RETURN_NAMES = ("high_sigmas", "low_sigmas") + CATEGORY = "sampling/custom_sampling/sigmas" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, sigmas, denoise): + steps = max(sigmas.shape[-1] - 1, 0) + total_steps = round(steps * denoise) + sigmas1 = sigmas[:-(total_steps)] + sigmas2 = sigmas[-(total_steps + 1):] + return (sigmas1, sigmas2) + +class FlipSigmas: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"sigmas": ("SIGMAS", ), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/sigmas" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, sigmas): + if len(sigmas) == 0: + return (sigmas,) + + sigmas = sigmas.flip(0) + if sigmas[0] == 0: + sigmas[0] = 0.0001 + return (sigmas,) + +class SetFirstSigma: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"sigmas": ("SIGMAS", ), + "sigma": ("FLOAT", {"default": 136.0, "min": 0.0, "max": 20000.0, "step": 0.001, "round": False}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/sigmas" + + FUNCTION = "set_first_sigma" + + def set_first_sigma(self, sigmas, sigma): + sigmas = sigmas.clone() + sigmas[0] = sigma + return (sigmas, ) + +class ExtendIntermediateSigmas: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"sigmas": ("SIGMAS", ), + "steps": ("INT", {"default": 2, "min": 1, "max": 100}), + "start_at_sigma": ("FLOAT", {"default": -1.0, "min": -1.0, "max": 20000.0, "step": 0.01, "round": False}), + "end_at_sigma": ("FLOAT", {"default": 12.0, "min": 0.0, "max": 20000.0, "step": 0.01, "round": False}), + "spacing": (['linear', 'cosine', 'sine'],), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/sigmas" + + FUNCTION = "extend" + + def extend(self, sigmas: torch.Tensor, steps: int, start_at_sigma: float, end_at_sigma: float, spacing: str): + if start_at_sigma < 0: + start_at_sigma = float("inf") + + interpolator = { + 'linear': lambda x: x, + 'cosine': lambda x: torch.sin(x*math.pi/2), + 'sine': lambda x: 1 - torch.cos(x*math.pi/2) + }[spacing] + + # linear space for our interpolation function + x = torch.linspace(0, 1, steps + 1, device=sigmas.device)[1:-1] + computed_spacing = interpolator(x) + + extended_sigmas = [] + for i in range(len(sigmas) - 1): + sigma_current = sigmas[i] + sigma_next = sigmas[i+1] + + extended_sigmas.append(sigma_current) + + if end_at_sigma <= sigma_current <= start_at_sigma: + interpolated_steps = computed_spacing * (sigma_next - sigma_current) + sigma_current + extended_sigmas.extend(interpolated_steps.tolist()) + + # Add the last sigma value + if len(sigmas) > 0: + extended_sigmas.append(sigmas[-1]) + + extended_sigmas = torch.FloatTensor(extended_sigmas) + + return (extended_sigmas,) + + +class SamplingPercentToSigma: + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "model": (IO.MODEL, {}), + "sampling_percent": (IO.FLOAT, {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.0001}), + "return_actual_sigma": (IO.BOOLEAN, {"default": False, "tooltip": "Return the actual sigma value instead of the value used for interval checks.\nThis only affects results at 0.0 and 1.0."}), + } + } + + RETURN_TYPES = (IO.FLOAT,) + RETURN_NAMES = ("sigma_value",) + CATEGORY = "sampling/custom_sampling/sigmas" + + FUNCTION = "get_sigma" + + def get_sigma(self, model, sampling_percent, return_actual_sigma): + model_sampling = model.get_model_object("model_sampling") + sigma_val = model_sampling.percent_to_sigma(sampling_percent) + if return_actual_sigma: + if sampling_percent == 0.0: + sigma_val = model_sampling.sigma_max.item() + elif sampling_percent == 1.0: + sigma_val = model_sampling.sigma_min.item() + return (sigma_val,) + + +class KSamplerSelect: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"sampler_name": (comfy.samplers.SAMPLER_NAMES, ), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, sampler_name): + sampler = comfy.samplers.sampler_object(sampler_name) + return (sampler, ) + +class SamplerDPMPP_3M_SDE: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "noise_device": (['gpu', 'cpu'], ), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, eta, s_noise, noise_device): + if noise_device == 'cpu': + sampler_name = "dpmpp_3m_sde" + else: + sampler_name = "dpmpp_3m_sde_gpu" + sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise}) + return (sampler, ) + +class SamplerDPMPP_2M_SDE: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"solver_type": (['midpoint', 'heun'], ), + "eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "noise_device": (['gpu', 'cpu'], ), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, solver_type, eta, s_noise, noise_device): + if noise_device == 'cpu': + sampler_name = "dpmpp_2m_sde" + else: + sampler_name = "dpmpp_2m_sde_gpu" + sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise, "solver_type": solver_type}) + return (sampler, ) + + +class SamplerDPMPP_SDE: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "r": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "noise_device": (['gpu', 'cpu'], ), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, eta, s_noise, r, noise_device): + if noise_device == 'cpu': + sampler_name = "dpmpp_sde" + else: + sampler_name = "dpmpp_sde_gpu" + sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise, "r": r}) + return (sampler, ) + +class SamplerDPMPP_2S_Ancestral: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, eta, s_noise): + sampler = comfy.samplers.ksampler("dpmpp_2s_ancestral", {"eta": eta, "s_noise": s_noise}) + return (sampler, ) + +class SamplerEulerAncestral: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, eta, s_noise): + sampler = comfy.samplers.ksampler("euler_ancestral", {"eta": eta, "s_noise": s_noise}) + return (sampler, ) + +class SamplerEulerAncestralCFGPP: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step":0.01, "round": False}), + }} + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, eta, s_noise): + sampler = comfy.samplers.ksampler( + "euler_ancestral_cfg_pp", + {"eta": eta, "s_noise": s_noise}) + return (sampler, ) + +class SamplerLMS: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"order": ("INT", {"default": 4, "min": 1, "max": 100}), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, order): + sampler = comfy.samplers.ksampler("lms", {"order": order}) + return (sampler, ) + +class SamplerDPMAdaptative: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"order": ("INT", {"default": 3, "min": 2, "max": 3}), + "rtol": ("FLOAT", {"default": 0.05, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "atol": ("FLOAT", {"default": 0.0078, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "h_init": ("FLOAT", {"default": 0.05, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "pcoeff": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "icoeff": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "dcoeff": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "accept_safety": ("FLOAT", {"default": 0.81, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "eta": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + "s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}), + } + } + RETURN_TYPES = ("SAMPLER",) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, order, rtol, atol, h_init, pcoeff, icoeff, dcoeff, accept_safety, eta, s_noise): + sampler = comfy.samplers.ksampler("dpm_adaptive", {"order": order, "rtol": rtol, "atol": atol, "h_init": h_init, "pcoeff": pcoeff, + "icoeff": icoeff, "dcoeff": dcoeff, "accept_safety": accept_safety, "eta": eta, + "s_noise":s_noise }) + return (sampler, ) + + +class SamplerER_SDE(ComfyNodeABC): + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "solver_type": (IO.COMBO, {"options": ["ER-SDE", "Reverse-time SDE", "ODE"]}), + "max_stage": (IO.INT, {"default": 3, "min": 1, "max": 3}), + "eta": ( + IO.FLOAT, + {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01, "round": False, "tooltip": "Stochastic strength of reverse-time SDE.\nWhen eta=0, it reduces to deterministic ODE. This setting doesn't apply to ER-SDE solver type."}, + ), + "s_noise": (IO.FLOAT, {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01, "round": False}), + } + } + + RETURN_TYPES = (IO.SAMPLER,) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, solver_type, max_stage, eta, s_noise): + if solver_type == "ODE" or (solver_type == "Reverse-time SDE" and eta == 0): + eta = 0 + s_noise = 0 + + def reverse_time_sde_noise_scaler(x): + return x ** (eta + 1) + + if solver_type == "ER-SDE": + # Use the default one in sample_er_sde() + noise_scaler = None + else: + noise_scaler = reverse_time_sde_noise_scaler + + sampler_name = "er_sde" + sampler = comfy.samplers.ksampler(sampler_name, {"s_noise": s_noise, "noise_scaler": noise_scaler, "max_stage": max_stage}) + return (sampler,) + + +class SamplerSASolver(ComfyNodeABC): + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "model": (IO.MODEL, {}), + "eta": (IO.FLOAT, {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01, "round": False},), + "sde_start_percent": (IO.FLOAT, {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.001},), + "sde_end_percent": (IO.FLOAT, {"default": 0.8, "min": 0.0, "max": 1.0, "step": 0.001},), + "s_noise": (IO.FLOAT, {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01, "round": False},), + "predictor_order": (IO.INT, {"default": 3, "min": 1, "max": 6}), + "corrector_order": (IO.INT, {"default": 4, "min": 0, "max": 6}), + "use_pece": (IO.BOOLEAN, {}), + "simple_order_2": (IO.BOOLEAN, {}), + } + } + + RETURN_TYPES = (IO.SAMPLER,) + CATEGORY = "sampling/custom_sampling/samplers" + + FUNCTION = "get_sampler" + + def get_sampler(self, model, eta, sde_start_percent, sde_end_percent, s_noise, predictor_order, corrector_order, use_pece, simple_order_2): + model_sampling = model.get_model_object("model_sampling") + start_sigma = model_sampling.percent_to_sigma(sde_start_percent) + end_sigma = model_sampling.percent_to_sigma(sde_end_percent) + tau_func = sa_solver.get_tau_interval_func(start_sigma, end_sigma, eta=eta) + + sampler_name = "sa_solver" + sampler = comfy.samplers.ksampler( + sampler_name, + { + "tau_func": tau_func, + "s_noise": s_noise, + "predictor_order": predictor_order, + "corrector_order": corrector_order, + "use_pece": use_pece, + "simple_order_2": simple_order_2, + }, + ) + return (sampler,) + + +class Noise_EmptyNoise: + def __init__(self): + self.seed = 0 + + def generate_noise(self, input_latent): + latent_image = input_latent["samples"] + return torch.zeros(latent_image.shape, dtype=latent_image.dtype, layout=latent_image.layout, device="cpu") + + +class Noise_RandomNoise: + def __init__(self, seed): + self.seed = seed + + def generate_noise(self, input_latent): + latent_image = input_latent["samples"] + batch_inds = input_latent["batch_index"] if "batch_index" in input_latent else None + return comfy.sample.prepare_noise(latent_image, self.seed, batch_inds) + +class SamplerCustom: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "add_noise": ("BOOLEAN", {"default": True}), + "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}), + "positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "sampler": ("SAMPLER", ), + "sigmas": ("SIGMAS", ), + "latent_image": ("LATENT", ), + } + } + + RETURN_TYPES = ("LATENT","LATENT") + RETURN_NAMES = ("output", "denoised_output") + + FUNCTION = "sample" + + CATEGORY = "sampling/custom_sampling" + + def sample(self, model, add_noise, noise_seed, cfg, positive, negative, sampler, sigmas, latent_image): + latent = latent_image + latent_image = latent["samples"] + latent = latent.copy() + latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image) + latent["samples"] = latent_image + + if not add_noise: + noise = Noise_EmptyNoise().generate_noise(latent) + else: + noise = Noise_RandomNoise(noise_seed).generate_noise(latent) + + noise_mask = None + if "noise_mask" in latent: + noise_mask = latent["noise_mask"] + + x0_output = {} + callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output) + + disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED + samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed) + + out = latent.copy() + out["samples"] = samples + if "x0" in x0_output: + out_denoised = latent.copy() + out_denoised["samples"] = model.model.process_latent_out(x0_output["x0"].cpu()) + else: + out_denoised = out + return (out, out_denoised) + +class Guider_Basic(comfy.samplers.CFGGuider): + def set_conds(self, positive): + self.inner_set_conds({"positive": positive}) + +class BasicGuider: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "conditioning": ("CONDITIONING", ), + } + } + + RETURN_TYPES = ("GUIDER",) + + FUNCTION = "get_guider" + CATEGORY = "sampling/custom_sampling/guiders" + + def get_guider(self, model, conditioning): + guider = Guider_Basic(model) + guider.set_conds(conditioning) + return (guider,) + +class CFGGuider: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}), + } + } + + RETURN_TYPES = ("GUIDER",) + + FUNCTION = "get_guider" + CATEGORY = "sampling/custom_sampling/guiders" + + def get_guider(self, model, positive, negative, cfg): + guider = comfy.samplers.CFGGuider(model) + guider.set_conds(positive, negative) + guider.set_cfg(cfg) + return (guider,) + +class Guider_DualCFG(comfy.samplers.CFGGuider): + def set_cfg(self, cfg1, cfg2, nested=False): + self.cfg1 = cfg1 + self.cfg2 = cfg2 + self.nested = nested + + def set_conds(self, positive, middle, negative): + middle = node_helpers.conditioning_set_values(middle, {"prompt_type": "negative"}) + self.inner_set_conds({"positive": positive, "middle": middle, "negative": negative}) + + def predict_noise(self, x, timestep, model_options={}, seed=None): + negative_cond = self.conds.get("negative", None) + middle_cond = self.conds.get("middle", None) + positive_cond = self.conds.get("positive", None) + + if self.nested: + out = comfy.samplers.calc_cond_batch(self.inner_model, [negative_cond, middle_cond, positive_cond], x, timestep, model_options) + pred_text = comfy.samplers.cfg_function(self.inner_model, out[2], out[1], self.cfg1, x, timestep, model_options=model_options, cond=positive_cond, uncond=middle_cond) + return out[0] + self.cfg2 * (pred_text - out[0]) + else: + if model_options.get("disable_cfg1_optimization", False) == False: + if math.isclose(self.cfg2, 1.0): + negative_cond = None + if math.isclose(self.cfg1, 1.0): + middle_cond = None + + out = comfy.samplers.calc_cond_batch(self.inner_model, [negative_cond, middle_cond, positive_cond], x, timestep, model_options) + return comfy.samplers.cfg_function(self.inner_model, out[1], out[0], self.cfg2, x, timestep, model_options=model_options, cond=middle_cond, uncond=negative_cond) + (out[2] - out[1]) * self.cfg1 + +class DualCFGGuider: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "cond1": ("CONDITIONING", ), + "cond2": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "cfg_conds": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}), + "cfg_cond2_negative": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}), + "style": (["regular", "nested"],), + } + } + + RETURN_TYPES = ("GUIDER",) + + FUNCTION = "get_guider" + CATEGORY = "sampling/custom_sampling/guiders" + + def get_guider(self, model, cond1, cond2, negative, cfg_conds, cfg_cond2_negative, style): + guider = Guider_DualCFG(model) + guider.set_conds(cond1, cond2, negative) + guider.set_cfg(cfg_conds, cfg_cond2_negative, nested=(style == "nested")) + return (guider,) + +class DisableNoise: + @classmethod + def INPUT_TYPES(s): + return {"required":{ + } + } + + RETURN_TYPES = ("NOISE",) + FUNCTION = "get_noise" + CATEGORY = "sampling/custom_sampling/noise" + + def get_noise(self): + return (Noise_EmptyNoise(),) + + +class RandomNoise(DisableNoise): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "noise_seed": ("INT", { + "default": 0, + "min": 0, + "max": 0xffffffffffffffff, + "control_after_generate": True, + }), + } + } + + def get_noise(self, noise_seed): + return (Noise_RandomNoise(noise_seed),) + + +class SamplerCustomAdvanced: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"noise": ("NOISE", ), + "guider": ("GUIDER", ), + "sampler": ("SAMPLER", ), + "sigmas": ("SIGMAS", ), + "latent_image": ("LATENT", ), + } + } + + RETURN_TYPES = ("LATENT","LATENT") + RETURN_NAMES = ("output", "denoised_output") + + FUNCTION = "sample" + + CATEGORY = "sampling/custom_sampling" + + def sample(self, noise, guider, sampler, sigmas, latent_image): + latent = latent_image + latent_image = latent["samples"] + latent = latent.copy() + latent_image = comfy.sample.fix_empty_latent_channels(guider.model_patcher, latent_image) + latent["samples"] = latent_image + + noise_mask = None + if "noise_mask" in latent: + noise_mask = latent["noise_mask"] + + x0_output = {} + callback = latent_preview.prepare_callback(guider.model_patcher, sigmas.shape[-1] - 1, x0_output) + + disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED + samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed) + samples = samples.to(comfy.model_management.intermediate_device()) + + out = latent.copy() + out["samples"] = samples + if "x0" in x0_output: + out_denoised = latent.copy() + out_denoised["samples"] = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu()) + else: + out_denoised = out + return (out, out_denoised) + +class AddNoise: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "noise": ("NOISE", ), + "sigmas": ("SIGMAS", ), + "latent_image": ("LATENT", ), + } + } + + RETURN_TYPES = ("LATENT",) + + FUNCTION = "add_noise" + + CATEGORY = "_for_testing/custom_sampling/noise" + + def add_noise(self, model, noise, sigmas, latent_image): + if len(sigmas) == 0: + return latent_image + + latent = latent_image + latent_image = latent["samples"] + + noisy = noise.generate_noise(latent) + + model_sampling = model.get_model_object("model_sampling") + process_latent_out = model.get_model_object("process_latent_out") + process_latent_in = model.get_model_object("process_latent_in") + + if len(sigmas) > 1: + scale = torch.abs(sigmas[0] - sigmas[-1]) + else: + scale = sigmas[0] + + if torch.count_nonzero(latent_image) > 0: #Don't shift the empty latent image. + latent_image = process_latent_in(latent_image) + noisy = model_sampling.noise_scaling(scale, noisy, latent_image) + noisy = process_latent_out(noisy) + noisy = torch.nan_to_num(noisy, nan=0.0, posinf=0.0, neginf=0.0) + + out = latent.copy() + out["samples"] = noisy + return (out,) + + +NODE_CLASS_MAPPINGS = { + "SamplerCustom": SamplerCustom, + "BasicScheduler": BasicScheduler, + "KarrasScheduler": KarrasScheduler, + "ExponentialScheduler": ExponentialScheduler, + "PolyexponentialScheduler": PolyexponentialScheduler, + "LaplaceScheduler": LaplaceScheduler, + "VPScheduler": VPScheduler, + "BetaSamplingScheduler": BetaSamplingScheduler, + "SDTurboScheduler": SDTurboScheduler, + "KSamplerSelect": KSamplerSelect, + "SamplerEulerAncestral": SamplerEulerAncestral, + "SamplerEulerAncestralCFGPP": SamplerEulerAncestralCFGPP, + "SamplerLMS": SamplerLMS, + "SamplerDPMPP_3M_SDE": SamplerDPMPP_3M_SDE, + "SamplerDPMPP_2M_SDE": SamplerDPMPP_2M_SDE, + "SamplerDPMPP_SDE": SamplerDPMPP_SDE, + "SamplerDPMPP_2S_Ancestral": SamplerDPMPP_2S_Ancestral, + "SamplerDPMAdaptative": SamplerDPMAdaptative, + "SamplerER_SDE": SamplerER_SDE, + "SamplerSASolver": SamplerSASolver, + "SplitSigmas": SplitSigmas, + "SplitSigmasDenoise": SplitSigmasDenoise, + "FlipSigmas": FlipSigmas, + "SetFirstSigma": SetFirstSigma, + "ExtendIntermediateSigmas": ExtendIntermediateSigmas, + "SamplingPercentToSigma": SamplingPercentToSigma, + + "CFGGuider": CFGGuider, + "DualCFGGuider": DualCFGGuider, + "BasicGuider": BasicGuider, + "RandomNoise": RandomNoise, + "DisableNoise": DisableNoise, + "AddNoise": AddNoise, + "SamplerCustomAdvanced": SamplerCustomAdvanced, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "SamplerEulerAncestralCFGPP": "SamplerEulerAncestralCFG++", +} diff --git a/comfy_extras/nodes_differential_diffusion.py b/comfy_extras/nodes_differential_diffusion.py new file mode 100644 index 0000000000000000000000000000000000000000..98dbbf102dac861cfb65ed19ad1af499abf7465d --- /dev/null +++ b/comfy_extras/nodes_differential_diffusion.py @@ -0,0 +1,42 @@ +# code adapted from https://github.com/exx8/differential-diffusion + +import torch + +class DifferentialDiffusion(): + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL", ), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "apply" + CATEGORY = "_for_testing" + INIT = False + + def apply(self, model): + model = model.clone() + model.set_model_denoise_mask_function(self.forward) + return (model,) + + def forward(self, sigma: torch.Tensor, denoise_mask: torch.Tensor, extra_options: dict): + model = extra_options["model"] + step_sigmas = extra_options["sigmas"] + sigma_to = model.inner_model.model_sampling.sigma_min + if step_sigmas[-1] > sigma_to: + sigma_to = step_sigmas[-1] + sigma_from = step_sigmas[0] + + ts_from = model.inner_model.model_sampling.timestep(sigma_from) + ts_to = model.inner_model.model_sampling.timestep(sigma_to) + current_ts = model.inner_model.model_sampling.timestep(sigma[0]) + + threshold = (current_ts - ts_to) / (ts_from - ts_to) + + return (denoise_mask >= threshold).to(denoise_mask.dtype) + + +NODE_CLASS_MAPPINGS = { + "DifferentialDiffusion": DifferentialDiffusion, +} +NODE_DISPLAY_NAME_MAPPINGS = { + "DifferentialDiffusion": "Differential Diffusion", +} diff --git a/comfy_extras/nodes_easycache.py b/comfy_extras/nodes_easycache.py new file mode 100644 index 0000000000000000000000000000000000000000..c170e9fd9be8c0d36d2f81fc4c83ecf567303bf3 --- /dev/null +++ b/comfy_extras/nodes_easycache.py @@ -0,0 +1,498 @@ +from __future__ import annotations +from typing import TYPE_CHECKING, Union +from comfy_api.latest import io, ComfyExtension +import comfy.patcher_extension +import logging +import torch +import comfy.model_patcher +if TYPE_CHECKING: + from uuid import UUID + + +def easycache_forward_wrapper(executor, *args, **kwargs): + # get values from args + x: torch.Tensor = args[0] + transformer_options: dict[str] = args[-1] + if not isinstance(transformer_options, dict): + transformer_options = kwargs.get("transformer_options") + if not transformer_options: + transformer_options = args[-2] + easycache: EasyCacheHolder = transformer_options["easycache"] + sigmas = transformer_options["sigmas"] + uuids = transformer_options["uuids"] + if sigmas is not None and easycache.is_past_end_timestep(sigmas): + return executor(*args, **kwargs) + # prepare next x_prev + has_first_cond_uuid = easycache.has_first_cond_uuid(uuids) + next_x_prev = x + input_change = None + do_easycache = easycache.should_do_easycache(sigmas) + if do_easycache: + easycache.check_metadata(x) + # if first cond marked this step for skipping, skip it and use appropriate cached values + if easycache.skip_current_step: + if easycache.verbose: + logging.info(f"EasyCache [verbose] - was marked to skip this step by {easycache.first_cond_uuid}. Present uuids: {uuids}") + return easycache.apply_cache_diff(x, uuids) + if easycache.initial_step: + easycache.first_cond_uuid = uuids[0] + has_first_cond_uuid = easycache.has_first_cond_uuid(uuids) + easycache.initial_step = False + if has_first_cond_uuid: + if easycache.has_x_prev_subsampled(): + input_change = (easycache.subsample(x, uuids, clone=False) - easycache.x_prev_subsampled).flatten().abs().mean() + if easycache.has_output_prev_norm() and easycache.has_relative_transformation_rate(): + approx_output_change_rate = (easycache.relative_transformation_rate * input_change) / easycache.output_prev_norm + easycache.cumulative_change_rate += approx_output_change_rate + if easycache.cumulative_change_rate < easycache.reuse_threshold: + if easycache.verbose: + logging.info(f"EasyCache [verbose] - skipping step; cumulative_change_rate: {easycache.cumulative_change_rate}, reuse_threshold: {easycache.reuse_threshold}") + # other conds should also skip this step, and instead use their cached values + easycache.skip_current_step = True + return easycache.apply_cache_diff(x, uuids) + else: + if easycache.verbose: + logging.info(f"EasyCache [verbose] - NOT skipping step; cumulative_change_rate: {easycache.cumulative_change_rate}, reuse_threshold: {easycache.reuse_threshold}") + easycache.cumulative_change_rate = 0.0 + + output: torch.Tensor = executor(*args, **kwargs) + if has_first_cond_uuid and easycache.has_output_prev_norm(): + output_change = (easycache.subsample(output, uuids, clone=False) - easycache.output_prev_subsampled).flatten().abs().mean() + if easycache.verbose: + output_change_rate = output_change / easycache.output_prev_norm + easycache.output_change_rates.append(output_change_rate.item()) + if easycache.has_relative_transformation_rate(): + approx_output_change_rate = (easycache.relative_transformation_rate * input_change) / easycache.output_prev_norm + easycache.approx_output_change_rates.append(approx_output_change_rate.item()) + if easycache.verbose: + logging.info(f"EasyCache [verbose] - approx_output_change_rate: {approx_output_change_rate}") + if input_change is not None: + easycache.relative_transformation_rate = output_change / input_change + if easycache.verbose: + logging.info(f"EasyCache [verbose] - output_change_rate: {output_change_rate}") + # TODO: allow cache_diff to be offloaded + easycache.update_cache_diff(output, next_x_prev, uuids) + if has_first_cond_uuid: + easycache.x_prev_subsampled = easycache.subsample(next_x_prev, uuids) + easycache.output_prev_subsampled = easycache.subsample(output, uuids) + easycache.output_prev_norm = output.flatten().abs().mean() + if easycache.verbose: + logging.info(f"EasyCache [verbose] - x_prev_subsampled: {easycache.x_prev_subsampled.shape}") + return output + +def lazycache_predict_noise_wrapper(executor, *args, **kwargs): + # get values from args + x: torch.Tensor = args[0] + timestep: float = args[1] + model_options: dict[str] = args[2] + easycache: LazyCacheHolder = model_options["transformer_options"]["easycache"] + if easycache.is_past_end_timestep(timestep): + return executor(*args, **kwargs) + # prepare next x_prev + next_x_prev = x + input_change = None + do_easycache = easycache.should_do_easycache(timestep) + if do_easycache: + easycache.check_metadata(x) + if easycache.has_x_prev_subsampled(): + if easycache.has_x_prev_subsampled(): + input_change = (easycache.subsample(x, clone=False) - easycache.x_prev_subsampled).flatten().abs().mean() + if easycache.has_output_prev_norm() and easycache.has_relative_transformation_rate(): + approx_output_change_rate = (easycache.relative_transformation_rate * input_change) / easycache.output_prev_norm + easycache.cumulative_change_rate += approx_output_change_rate + if easycache.cumulative_change_rate < easycache.reuse_threshold: + if easycache.verbose: + logging.info(f"LazyCache [verbose] - skipping step; cumulative_change_rate: {easycache.cumulative_change_rate}, reuse_threshold: {easycache.reuse_threshold}") + # other conds should also skip this step, and instead use their cached values + easycache.skip_current_step = True + return easycache.apply_cache_diff(x) + else: + if easycache.verbose: + logging.info(f"LazyCache [verbose] - NOT skipping step; cumulative_change_rate: {easycache.cumulative_change_rate}, reuse_threshold: {easycache.reuse_threshold}") + easycache.cumulative_change_rate = 0.0 + output: torch.Tensor = executor(*args, **kwargs) + if easycache.has_output_prev_norm(): + output_change = (easycache.subsample(output, clone=False) - easycache.output_prev_subsampled).flatten().abs().mean() + if easycache.verbose: + output_change_rate = output_change / easycache.output_prev_norm + easycache.output_change_rates.append(output_change_rate.item()) + if easycache.has_relative_transformation_rate(): + approx_output_change_rate = (easycache.relative_transformation_rate * input_change) / easycache.output_prev_norm + easycache.approx_output_change_rates.append(approx_output_change_rate.item()) + if easycache.verbose: + logging.info(f"LazyCache [verbose] - approx_output_change_rate: {approx_output_change_rate}") + if input_change is not None: + easycache.relative_transformation_rate = output_change / input_change + if easycache.verbose: + logging.info(f"LazyCache [verbose] - output_change_rate: {output_change_rate}") + # TODO: allow cache_diff to be offloaded + easycache.update_cache_diff(output, next_x_prev) + easycache.x_prev_subsampled = easycache.subsample(next_x_prev) + easycache.output_prev_subsampled = easycache.subsample(output) + easycache.output_prev_norm = output.flatten().abs().mean() + if easycache.verbose: + logging.info(f"LazyCache [verbose] - x_prev_subsampled: {easycache.x_prev_subsampled.shape}") + return output + +def easycache_calc_cond_batch_wrapper(executor, *args, **kwargs): + model_options = args[-1] + easycache: EasyCacheHolder = model_options["transformer_options"]["easycache"] + easycache.skip_current_step = False + # TODO: check if first_cond_uuid is active at this timestep; otherwise, EasyCache needs to be partially reset + return executor(*args, **kwargs) + +def easycache_sample_wrapper(executor, *args, **kwargs): + """ + This OUTER_SAMPLE wrapper makes sure easycache is prepped for current run, and all memory usage is cleared at the end. + """ + try: + guider = executor.class_obj + orig_model_options = guider.model_options + guider.model_options = comfy.model_patcher.create_model_options_clone(orig_model_options) + # clone and prepare timesteps + guider.model_options["transformer_options"]["easycache"] = guider.model_options["transformer_options"]["easycache"].clone().prepare_timesteps(guider.model_patcher.model.model_sampling) + easycache: Union[EasyCacheHolder, LazyCacheHolder] = guider.model_options['transformer_options']['easycache'] + logging.info(f"{easycache.name} enabled - threshold: {easycache.reuse_threshold}, start_percent: {easycache.start_percent}, end_percent: {easycache.end_percent}") + return executor(*args, **kwargs) + finally: + easycache = guider.model_options['transformer_options']['easycache'] + output_change_rates = easycache.output_change_rates + approx_output_change_rates = easycache.approx_output_change_rates + if easycache.verbose: + logging.info(f"{easycache.name} [verbose] - output_change_rates {len(output_change_rates)}: {output_change_rates}") + logging.info(f"{easycache.name} [verbose] - approx_output_change_rates {len(approx_output_change_rates)}: {approx_output_change_rates}") + total_steps = len(args[3])-1 + # catch division by zero for log statement; sucks to crash after all sampling is done + try: + speedup = total_steps/(total_steps-easycache.total_steps_skipped) + except ZeroDivisionError: + speedup = 1.0 + logging.info(f"{easycache.name} - skipped {easycache.total_steps_skipped}/{total_steps} steps ({speedup:.2f}x speedup).") + easycache.reset() + guider.model_options = orig_model_options + + +class EasyCacheHolder: + def __init__(self, reuse_threshold: float, start_percent: float, end_percent: float, subsample_factor: int, offload_cache_diff: bool, verbose: bool=False): + self.name = "EasyCache" + self.reuse_threshold = reuse_threshold + self.start_percent = start_percent + self.end_percent = end_percent + self.subsample_factor = subsample_factor + self.offload_cache_diff = offload_cache_diff + self.verbose = verbose + # timestep values + self.start_t = 0.0 + self.end_t = 0.0 + # control values + self.relative_transformation_rate: float = None + self.cumulative_change_rate = 0.0 + self.initial_step = True + self.skip_current_step = False + # cache values + self.first_cond_uuid = None + self.x_prev_subsampled: torch.Tensor = None + self.output_prev_subsampled: torch.Tensor = None + self.output_prev_norm: torch.Tensor = None + self.uuid_cache_diffs: dict[UUID, torch.Tensor] = {} + self.output_change_rates = [] + self.approx_output_change_rates = [] + self.total_steps_skipped = 0 + # how to deal with mismatched dims + self.allow_mismatch = True + self.cut_from_start = True + self.state_metadata = None + + def is_past_end_timestep(self, timestep: float) -> bool: + return not (timestep[0] > self.end_t).item() + + def should_do_easycache(self, timestep: float) -> bool: + return (timestep[0] <= self.start_t).item() + + def has_x_prev_subsampled(self) -> bool: + return self.x_prev_subsampled is not None + + def has_output_prev_subsampled(self) -> bool: + return self.output_prev_subsampled is not None + + def has_output_prev_norm(self) -> bool: + return self.output_prev_norm is not None + + def has_relative_transformation_rate(self) -> bool: + return self.relative_transformation_rate is not None + + def prepare_timesteps(self, model_sampling): + self.start_t = model_sampling.percent_to_sigma(self.start_percent) + self.end_t = model_sampling.percent_to_sigma(self.end_percent) + return self + + def subsample(self, x: torch.Tensor, uuids: list[UUID], clone: bool = True) -> torch.Tensor: + batch_offset = x.shape[0] // len(uuids) + uuid_idx = uuids.index(self.first_cond_uuid) + if self.subsample_factor > 1: + to_return = x[uuid_idx*batch_offset:(uuid_idx+1)*batch_offset, ..., ::self.subsample_factor, ::self.subsample_factor] + if clone: + return to_return.clone() + return to_return + to_return = x[uuid_idx*batch_offset:(uuid_idx+1)*batch_offset, ...] + if clone: + return to_return.clone() + return to_return + + def apply_cache_diff(self, x: torch.Tensor, uuids: list[UUID]): + if self.first_cond_uuid in uuids: + self.total_steps_skipped += 1 + batch_offset = x.shape[0] // len(uuids) + for i, uuid in enumerate(uuids): + # if cached dims don't match x dims, cut off excess and hope for the best (cosmos world2video) + if x.shape[1:] != self.uuid_cache_diffs[uuid].shape[1:]: + if not self.allow_mismatch: + raise ValueError(f"Cached dims {self.uuid_cache_diffs[uuid].shape} don't match x dims {x.shape} - this is no good") + slicing = [] + skip_this_dim = True + for dim_u, dim_x in zip(self.uuid_cache_diffs[uuid].shape, x.shape): + if skip_this_dim: + skip_this_dim = False + continue + if dim_u != dim_x: + if self.cut_from_start: + slicing.append(slice(dim_x-dim_u, None)) + else: + slicing.append(slice(None, dim_u)) + else: + slicing.append(slice(None)) + slicing = [slice(i*batch_offset,(i+1)*batch_offset)] + slicing + x = x[slicing] + x += self.uuid_cache_diffs[uuid].to(x.device) + return x + + def update_cache_diff(self, output: torch.Tensor, x: torch.Tensor, uuids: list[UUID]): + # if output dims don't match x dims, cut off excess and hope for the best (cosmos world2video) + if output.shape[1:] != x.shape[1:]: + if not self.allow_mismatch: + raise ValueError(f"Output dims {output.shape} don't match x dims {x.shape} - this is no good") + slicing = [] + skip_dim = True + for dim_o, dim_x in zip(output.shape, x.shape): + if not skip_dim and dim_o != dim_x: + if self.cut_from_start: + slicing.append(slice(dim_x-dim_o, None)) + else: + slicing.append(slice(None, dim_o)) + else: + slicing.append(slice(None)) + skip_dim = False + x = x[slicing] + diff = output - x + batch_offset = diff.shape[0] // len(uuids) + for i, uuid in enumerate(uuids): + self.uuid_cache_diffs[uuid] = diff[i*batch_offset:(i+1)*batch_offset, ...] + + def has_first_cond_uuid(self, uuids: list[UUID]) -> bool: + return self.first_cond_uuid in uuids + + def check_metadata(self, x: torch.Tensor) -> bool: + metadata = (x.device, x.dtype, x.shape[1:]) + if self.state_metadata is None: + self.state_metadata = metadata + return True + if metadata == self.state_metadata: + return True + logging.warn(f"{self.name} - Tensor shape, dtype or device changed, resetting state") + self.reset() + return False + + def reset(self): + self.relative_transformation_rate = 0.0 + self.cumulative_change_rate = 0.0 + self.initial_step = True + self.skip_current_step = False + self.output_change_rates = [] + self.first_cond_uuid = None + del self.x_prev_subsampled + self.x_prev_subsampled = None + del self.output_prev_subsampled + self.output_prev_subsampled = None + del self.output_prev_norm + self.output_prev_norm = None + del self.uuid_cache_diffs + self.uuid_cache_diffs = {} + self.total_steps_skipped = 0 + self.state_metadata = None + return self + + def clone(self): + return EasyCacheHolder(self.reuse_threshold, self.start_percent, self.end_percent, self.subsample_factor, self.offload_cache_diff, self.verbose) + + +class EasyCacheNode(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="EasyCache", + display_name="EasyCache", + description="Native EasyCache implementation.", + category="advanced/debug/model", + is_experimental=True, + inputs=[ + io.Model.Input("model", tooltip="The model to add EasyCache to."), + io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps."), + io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of EasyCache."), + io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of EasyCache."), + io.Boolean.Input("verbose", default=False, tooltip="Whether to log verbose information."), + ], + outputs=[ + io.Model.Output(tooltip="The model with EasyCache."), + ], + ) + + @classmethod + def execute(cls, model: io.Model.Type, reuse_threshold: float, start_percent: float, end_percent: float, verbose: bool) -> io.NodeOutput: + model = model.clone() + model.model_options["transformer_options"]["easycache"] = EasyCacheHolder(reuse_threshold, start_percent, end_percent, subsample_factor=8, offload_cache_diff=False, verbose=verbose) + model.add_wrapper_with_key(comfy.patcher_extension.WrappersMP.OUTER_SAMPLE, "easycache", easycache_sample_wrapper) + model.add_wrapper_with_key(comfy.patcher_extension.WrappersMP.CALC_COND_BATCH, "easycache", easycache_calc_cond_batch_wrapper) + model.add_wrapper_with_key(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, "easycache", easycache_forward_wrapper) + return io.NodeOutput(model) + + +class LazyCacheHolder: + def __init__(self, reuse_threshold: float, start_percent: float, end_percent: float, subsample_factor: int, offload_cache_diff: bool, verbose: bool=False): + self.name = "LazyCache" + self.reuse_threshold = reuse_threshold + self.start_percent = start_percent + self.end_percent = end_percent + self.subsample_factor = subsample_factor + self.offload_cache_diff = offload_cache_diff + self.verbose = verbose + # timestep values + self.start_t = 0.0 + self.end_t = 0.0 + # control values + self.relative_transformation_rate: float = None + self.cumulative_change_rate = 0.0 + self.initial_step = True + # cache values + self.x_prev_subsampled: torch.Tensor = None + self.output_prev_subsampled: torch.Tensor = None + self.output_prev_norm: torch.Tensor = None + self.cache_diff: torch.Tensor = None + self.output_change_rates = [] + self.approx_output_change_rates = [] + self.total_steps_skipped = 0 + self.state_metadata = None + + def has_cache_diff(self) -> bool: + return self.cache_diff is not None + + def is_past_end_timestep(self, timestep: float) -> bool: + return not (timestep[0] > self.end_t).item() + + def should_do_easycache(self, timestep: float) -> bool: + return (timestep[0] <= self.start_t).item() + + def has_x_prev_subsampled(self) -> bool: + return self.x_prev_subsampled is not None + + def has_output_prev_subsampled(self) -> bool: + return self.output_prev_subsampled is not None + + def has_output_prev_norm(self) -> bool: + return self.output_prev_norm is not None + + def has_relative_transformation_rate(self) -> bool: + return self.relative_transformation_rate is not None + + def prepare_timesteps(self, model_sampling): + self.start_t = model_sampling.percent_to_sigma(self.start_percent) + self.end_t = model_sampling.percent_to_sigma(self.end_percent) + return self + + def subsample(self, x: torch.Tensor, clone: bool = True) -> torch.Tensor: + if self.subsample_factor > 1: + to_return = x[..., ::self.subsample_factor, ::self.subsample_factor] + if clone: + return to_return.clone() + return to_return + if clone: + return x.clone() + return x + + def apply_cache_diff(self, x: torch.Tensor): + self.total_steps_skipped += 1 + return x + self.cache_diff.to(x.device) + + def update_cache_diff(self, output: torch.Tensor, x: torch.Tensor): + self.cache_diff = output - x + + def check_metadata(self, x: torch.Tensor) -> bool: + metadata = (x.device, x.dtype, x.shape) + if self.state_metadata is None: + self.state_metadata = metadata + return True + if metadata == self.state_metadata: + return True + logging.warn(f"{self.name} - Tensor shape, dtype or device changed, resetting state") + self.reset() + return False + + def reset(self): + self.relative_transformation_rate = 0.0 + self.cumulative_change_rate = 0.0 + self.initial_step = True + self.output_change_rates = [] + self.approx_output_change_rates = [] + del self.cache_diff + self.cache_diff = None + del self.x_prev_subsampled + self.x_prev_subsampled = None + del self.output_prev_subsampled + self.output_prev_subsampled = None + del self.output_prev_norm + self.output_prev_norm = None + self.total_steps_skipped = 0 + self.state_metadata = None + return self + + def clone(self): + return LazyCacheHolder(self.reuse_threshold, self.start_percent, self.end_percent, self.subsample_factor, self.offload_cache_diff, self.verbose) + +class LazyCacheNode(io.ComfyNode): + @classmethod + def define_schema(cls) -> io.Schema: + return io.Schema( + node_id="LazyCache", + display_name="LazyCache", + description="A homebrew version of EasyCache - even 'easier' version of EasyCache to implement. Overall works worse than EasyCache, but better in some rare cases AND universal compatibility with everything in ComfyUI.", + category="advanced/debug/model", + is_experimental=True, + inputs=[ + io.Model.Input("model", tooltip="The model to add LazyCache to."), + io.Float.Input("reuse_threshold", min=0.0, default=0.2, max=3.0, step=0.01, tooltip="The threshold for reusing cached steps."), + io.Float.Input("start_percent", min=0.0, default=0.15, max=1.0, step=0.01, tooltip="The relative sampling step to begin use of LazyCache."), + io.Float.Input("end_percent", min=0.0, default=0.95, max=1.0, step=0.01, tooltip="The relative sampling step to end use of LazyCache."), + io.Boolean.Input("verbose", default=False, tooltip="Whether to log verbose information."), + ], + outputs=[ + io.Model.Output(tooltip="The model with LazyCache."), + ], + ) + + @classmethod + def execute(cls, model: io.Model.Type, reuse_threshold: float, start_percent: float, end_percent: float, verbose: bool) -> io.NodeOutput: + model = model.clone() + model.model_options["transformer_options"]["easycache"] = LazyCacheHolder(reuse_threshold, start_percent, end_percent, subsample_factor=8, offload_cache_diff=False, verbose=verbose) + model.add_wrapper_with_key(comfy.patcher_extension.WrappersMP.OUTER_SAMPLE, "lazycache", easycache_sample_wrapper) + model.add_wrapper_with_key(comfy.patcher_extension.WrappersMP.PREDICT_NOISE, "lazycache", lazycache_predict_noise_wrapper) + return io.NodeOutput(model) + + +class EasyCacheExtension(ComfyExtension): + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + EasyCacheNode, + LazyCacheNode, + ] + +def comfy_entrypoint(): + return EasyCacheExtension() diff --git a/comfy_extras/nodes_edit_model.py b/comfy_extras/nodes_edit_model.py new file mode 100644 index 0000000000000000000000000000000000000000..b69f7971591b383774d322b022e3b3b39ec0d704 --- /dev/null +++ b/comfy_extras/nodes_edit_model.py @@ -0,0 +1,26 @@ +import node_helpers + + +class ReferenceLatent: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + }, + "optional": {"latent": ("LATENT", ),} + } + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "advanced/conditioning/edit_models" + DESCRIPTION = "This node sets the guiding latent for an edit model. If the model supports it you can chain multiple to set multiple reference images." + + def append(self, conditioning, latent=None): + if latent is not None: + conditioning = node_helpers.conditioning_set_values(conditioning, {"reference_latents": [latent["samples"]]}, append=True) + return (conditioning, ) + + +NODE_CLASS_MAPPINGS = { + "ReferenceLatent": ReferenceLatent, +} diff --git a/comfy_extras/nodes_flux.py b/comfy_extras/nodes_flux.py new file mode 100644 index 0000000000000000000000000000000000000000..25e029ffd9ac53ad55000d01321401a1c3b3ffcf --- /dev/null +++ b/comfy_extras/nodes_flux.py @@ -0,0 +1,129 @@ +import node_helpers +import comfy.utils + +class CLIPTextEncodeFlux: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning/flux" + + def encode(self, clip, clip_l, t5xxl, guidance): + tokens = clip.tokenize(clip_l) + tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"] + + return (clip.encode_from_tokens_scheduled(tokens, add_dict={"guidance": guidance}), ) + +class FluxGuidance: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "conditioning": ("CONDITIONING", ), + "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}), + }} + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "advanced/conditioning/flux" + + def append(self, conditioning, guidance): + c = node_helpers.conditioning_set_values(conditioning, {"guidance": guidance}) + return (c, ) + + +class FluxDisableGuidance: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "conditioning": ("CONDITIONING", ), + }} + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "advanced/conditioning/flux" + DESCRIPTION = "This node completely disables the guidance embed on Flux and Flux like models" + + def append(self, conditioning): + c = node_helpers.conditioning_set_values(conditioning, {"guidance": None}) + return (c, ) + + +PREFERED_KONTEXT_RESOLUTIONS = [ + (672, 1568), + (688, 1504), + (720, 1456), + (752, 1392), + (800, 1328), + (832, 1248), + (880, 1184), + (944, 1104), + (1024, 1024), + (1104, 944), + (1184, 880), + (1248, 832), + (1328, 800), + (1392, 752), + (1456, 720), + (1504, 688), + (1568, 672), +] + + +class FluxKontextImageScale: + @classmethod + def INPUT_TYPES(s): + return {"required": {"image": ("IMAGE", ), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "scale" + + CATEGORY = "advanced/conditioning/flux" + DESCRIPTION = "This node resizes the image to one that is more optimal for flux kontext." + + def scale(self, image): + width = image.shape[2] + height = image.shape[1] + aspect_ratio = width / height + _, width, height = min((abs(aspect_ratio - w / h), w, h) for w, h in PREFERED_KONTEXT_RESOLUTIONS) + image = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "lanczos", "center").movedim(1, -1) + return (image, ) + + +class FluxKontextMultiReferenceLatentMethod: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "conditioning": ("CONDITIONING", ), + "reference_latents_method": (("offset", "index", "uxo/uno"), ), + }} + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + EXPERIMENTAL = True + + CATEGORY = "advanced/conditioning/flux" + + def append(self, conditioning, reference_latents_method): + if "uxo" in reference_latents_method or "uso" in reference_latents_method: + reference_latents_method = "uxo" + c = node_helpers.conditioning_set_values(conditioning, {"reference_latents_method": reference_latents_method}) + return (c, ) + +NODE_CLASS_MAPPINGS = { + "CLIPTextEncodeFlux": CLIPTextEncodeFlux, + "FluxGuidance": FluxGuidance, + "FluxDisableGuidance": FluxDisableGuidance, + "FluxKontextImageScale": FluxKontextImageScale, + "FluxKontextMultiReferenceLatentMethod": FluxKontextMultiReferenceLatentMethod, +} diff --git a/comfy_extras/nodes_freelunch.py b/comfy_extras/nodes_freelunch.py new file mode 100644 index 0000000000000000000000000000000000000000..e3ac58447b29f604debb5bfc0aed3a5f100a4ae9 --- /dev/null +++ b/comfy_extras/nodes_freelunch.py @@ -0,0 +1,113 @@ +#code originally taken from: https://github.com/ChenyangSi/FreeU (under MIT License) + +import torch +import logging + +def Fourier_filter(x, threshold, scale): + # FFT + x_freq = torch.fft.fftn(x.float(), dim=(-2, -1)) + x_freq = torch.fft.fftshift(x_freq, dim=(-2, -1)) + + B, C, H, W = x_freq.shape + mask = torch.ones((B, C, H, W), device=x.device) + + crow, ccol = H // 2, W //2 + mask[..., crow - threshold:crow + threshold, ccol - threshold:ccol + threshold] = scale + x_freq = x_freq * mask + + # IFFT + x_freq = torch.fft.ifftshift(x_freq, dim=(-2, -1)) + x_filtered = torch.fft.ifftn(x_freq, dim=(-2, -1)).real + + return x_filtered.to(x.dtype) + + +class FreeU: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "b1": ("FLOAT", {"default": 1.1, "min": 0.0, "max": 10.0, "step": 0.01}), + "b2": ("FLOAT", {"default": 1.2, "min": 0.0, "max": 10.0, "step": 0.01}), + "s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}), + "s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "model_patches/unet" + + def patch(self, model, b1, b2, s1, s2): + model_channels = model.model.model_config.unet_config["model_channels"] + scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)} + on_cpu_devices = {} + + def output_block_patch(h, hsp, transformer_options): + scale = scale_dict.get(int(h.shape[1]), None) + if scale is not None: + h[:,:h.shape[1] // 2] = h[:,:h.shape[1] // 2] * scale[0] + if hsp.device not in on_cpu_devices: + try: + hsp = Fourier_filter(hsp, threshold=1, scale=scale[1]) + except: + logging.warning("Device {} does not support the torch.fft functions used in the FreeU node, switching to CPU.".format(hsp.device)) + on_cpu_devices[hsp.device] = True + hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device) + else: + hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device) + + return h, hsp + + m = model.clone() + m.set_model_output_block_patch(output_block_patch) + return (m, ) + +class FreeU_V2: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "b1": ("FLOAT", {"default": 1.3, "min": 0.0, "max": 10.0, "step": 0.01}), + "b2": ("FLOAT", {"default": 1.4, "min": 0.0, "max": 10.0, "step": 0.01}), + "s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}), + "s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "model_patches/unet" + + def patch(self, model, b1, b2, s1, s2): + model_channels = model.model.model_config.unet_config["model_channels"] + scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)} + on_cpu_devices = {} + + def output_block_patch(h, hsp, transformer_options): + scale = scale_dict.get(int(h.shape[1]), None) + if scale is not None: + hidden_mean = h.mean(1).unsqueeze(1) + B = hidden_mean.shape[0] + hidden_max, _ = torch.max(hidden_mean.view(B, -1), dim=-1, keepdim=True) + hidden_min, _ = torch.min(hidden_mean.view(B, -1), dim=-1, keepdim=True) + hidden_mean = (hidden_mean - hidden_min.unsqueeze(2).unsqueeze(3)) / (hidden_max - hidden_min).unsqueeze(2).unsqueeze(3) + + h[:,:h.shape[1] // 2] = h[:,:h.shape[1] // 2] * ((scale[0] - 1 ) * hidden_mean + 1) + + if hsp.device not in on_cpu_devices: + try: + hsp = Fourier_filter(hsp, threshold=1, scale=scale[1]) + except: + logging.warning("Device {} does not support the torch.fft functions used in the FreeU node, switching to CPU.".format(hsp.device)) + on_cpu_devices[hsp.device] = True + hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device) + else: + hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device) + + return h, hsp + + m = model.clone() + m.set_model_output_block_patch(output_block_patch) + return (m, ) + +NODE_CLASS_MAPPINGS = { + "FreeU": FreeU, + "FreeU_V2": FreeU_V2, +} diff --git a/comfy_extras/nodes_fresca.py b/comfy_extras/nodes_fresca.py new file mode 100644 index 0000000000000000000000000000000000000000..65c2d0d0ea3f35b2795ac92a208424078085c5b2 --- /dev/null +++ b/comfy_extras/nodes_fresca.py @@ -0,0 +1,103 @@ +# Code based on https://github.com/WikiChao/FreSca (MIT License) +import torch +import torch.fft as fft + + +def Fourier_filter(x, scale_low=1.0, scale_high=1.5, freq_cutoff=20): + """ + Apply frequency-dependent scaling to an image tensor using Fourier transforms. + + Parameters: + x: Input tensor of shape (B, C, H, W) + scale_low: Scaling factor for low-frequency components (default: 1.0) + scale_high: Scaling factor for high-frequency components (default: 1.5) + freq_cutoff: Number of frequency indices around center to consider as low-frequency (default: 20) + + Returns: + x_filtered: Filtered version of x in spatial domain with frequency-specific scaling applied. + """ + # Preserve input dtype and device + dtype, device = x.dtype, x.device + + # Convert to float32 for FFT computations + x = x.to(torch.float32) + + # 1) Apply FFT and shift low frequencies to center + x_freq = fft.fftn(x, dim=(-2, -1)) + x_freq = fft.fftshift(x_freq, dim=(-2, -1)) + + # Initialize mask with high-frequency scaling factor + mask = torch.ones(x_freq.shape, device=device) * scale_high + m = mask + for d in range(len(x_freq.shape) - 2): + dim = d + 2 + cc = x_freq.shape[dim] // 2 + f_c = min(freq_cutoff, cc) + m = m.narrow(dim, cc - f_c, f_c * 2) + + # Apply low-frequency scaling factor to center region + m[:] = scale_low + + # 3) Apply frequency-specific scaling + x_freq = x_freq * mask + + # 4) Convert back to spatial domain + x_freq = fft.ifftshift(x_freq, dim=(-2, -1)) + x_filtered = fft.ifftn(x_freq, dim=(-2, -1)).real + + # 5) Restore original dtype + x_filtered = x_filtered.to(dtype) + + return x_filtered + + +class FreSca: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL",), + "scale_low": ("FLOAT", {"default": 1.0, "min": 0, "max": 10, "step": 0.01, + "tooltip": "Scaling factor for low-frequency components"}), + "scale_high": ("FLOAT", {"default": 1.25, "min": 0, "max": 10, "step": 0.01, + "tooltip": "Scaling factor for high-frequency components"}), + "freq_cutoff": ("INT", {"default": 20, "min": 1, "max": 10000, "step": 1, + "tooltip": "Number of frequency indices around center to consider as low-frequency"}), + } + } + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + CATEGORY = "_for_testing" + DESCRIPTION = "Applies frequency-dependent scaling to the guidance" + def patch(self, model, scale_low, scale_high, freq_cutoff): + def custom_cfg_function(args): + conds_out = args["conds_out"] + if len(conds_out) <= 1 or None in args["conds"][:2]: + return conds_out + cond = conds_out[0] + uncond = conds_out[1] + + guidance = cond - uncond + filtered_guidance = Fourier_filter( + guidance, + scale_low=scale_low, + scale_high=scale_high, + freq_cutoff=freq_cutoff, + ) + filtered_cond = filtered_guidance + uncond + + return [filtered_cond, uncond] + conds_out[2:] + + m = model.clone() + m.set_model_sampler_pre_cfg_function(custom_cfg_function) + + return (m,) + + +NODE_CLASS_MAPPINGS = { + "FreSca": FreSca, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "FreSca": "FreSca", +} diff --git a/comfy_extras/nodes_gits.py b/comfy_extras/nodes_gits.py new file mode 100644 index 0000000000000000000000000000000000000000..47b1dd049702cc481550dd04d2c4edebfdcf7a0e --- /dev/null +++ b/comfy_extras/nodes_gits.py @@ -0,0 +1,369 @@ +# from https://github.com/zju-pi/diff-sampler/tree/main/gits-main +import numpy as np +import torch + +def loglinear_interp(t_steps, num_steps): + """ + Performs log-linear interpolation of a given array of decreasing numbers. + """ + xs = np.linspace(0, 1, len(t_steps)) + ys = np.log(t_steps[::-1]) + + new_xs = np.linspace(0, 1, num_steps) + new_ys = np.interp(new_xs, xs, ys) + + interped_ys = np.exp(new_ys)[::-1].copy() + return interped_ys + +NOISE_LEVELS = { + 0.80: [ + [14.61464119, 7.49001646, 0.02916753], + [14.61464119, 11.54541874, 6.77309084, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 3.07277966, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 2.05039096, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 2.05039096, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 5.85520077, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.07277966, 1.56271636, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.1956799, 1.98035145, 0.86115354, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.1956799, 1.98035145, 0.86115354, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.07277966, 1.84880662, 0.83188516, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.07277966, 1.84880662, 0.83188516, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.75677586, 2.84484982, 1.78698075, 0.803307, 0.02916753], + ], + 0.85: [ + [14.61464119, 7.49001646, 0.02916753], + [14.61464119, 7.49001646, 1.84880662, 0.02916753], + [14.61464119, 11.54541874, 6.77309084, 1.56271636, 0.02916753], + [14.61464119, 11.54541874, 7.11996698, 3.07277966, 1.24153244, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.09240818, 2.84484982, 0.95350921, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.09240818, 2.84484982, 0.95350921, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.58536053, 3.1956799, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 5.58536053, 3.1956799, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 8.75849152, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.65472794, 3.07277966, 1.84880662, 0.803307, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.60512662, 2.6383388, 1.56271636, 0.72133851, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.90732002, 10.31284904, 9.75859547, 9.24142551, 8.75849152, 8.30717278, 7.88507891, 7.49001646, 6.77309084, 5.85520077, 4.65472794, 3.46139455, 2.45070267, 1.56271636, 0.72133851, 0.02916753], + ], + 0.90: [ + [14.61464119, 6.77309084, 0.02916753], + [14.61464119, 7.49001646, 1.56271636, 0.02916753], + [14.61464119, 7.49001646, 3.07277966, 0.95350921, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.54230714, 0.89115214, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.54230714, 0.89115214, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.09240818, 3.07277966, 1.61558151, 0.69515091, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.11996698, 4.86714602, 3.07277966, 1.61558151, 0.69515091, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 2.95596409, 1.61558151, 0.69515091, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753], + [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.24153244, 0.57119018, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.75677586, 2.84484982, 1.84880662, 1.08895338, 0.52423614, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 4.86714602, 3.75677586, 2.84484982, 1.84880662, 1.08895338, 0.52423614, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.45427561, 3.32507086, 2.45070267, 1.61558151, 0.95350921, 0.45573691, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.45427561, 3.32507086, 2.45070267, 1.61558151, 0.95350921, 0.45573691, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 4.86714602, 3.91689563, 3.07277966, 2.27973175, 1.56271636, 0.95350921, 0.45573691, 0.02916753], + [14.61464119, 13.76078796, 12.96784878, 12.2308979, 11.54541874, 10.31284904, 9.24142551, 8.75849152, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.19988537, 1.51179266, 0.89115214, 0.43325692, 0.02916753], + ], + 0.95: [ + [14.61464119, 6.77309084, 0.02916753], + [14.61464119, 6.77309084, 1.56271636, 0.02916753], + [14.61464119, 7.49001646, 2.84484982, 0.89115214, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.36326075, 0.803307, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.56271636, 0.64427125, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.95596409, 1.56271636, 0.64427125, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 4.86714602, 3.07277966, 1.91321158, 1.08895338, 0.50118381, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.91321158, 1.08895338, 0.50118381, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.91321158, 1.08895338, 0.50118381, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.19988537, 1.41535246, 0.803307, 0.38853383, 0.02916753], + [14.61464119, 12.2308979, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.46139455, 2.6383388, 1.84880662, 1.24153244, 0.72133851, 0.34370604, 0.02916753], + [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.46139455, 2.6383388, 1.84880662, 1.24153244, 0.72133851, 0.34370604, 0.02916753], + [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 6.14220476, 4.86714602, 3.75677586, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753], + [14.61464119, 12.96784878, 10.90732002, 8.75849152, 7.49001646, 6.44769001, 5.58536053, 4.65472794, 3.60512662, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.65472794, 3.60512662, 2.95596409, 2.19988537, 1.56271636, 1.05362725, 0.64427125, 0.32104823, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.44769001, 5.58536053, 4.65472794, 3.75677586, 3.07277966, 2.45070267, 1.78698075, 1.24153244, 0.83188516, 0.50118381, 0.22545385, 0.02916753], + [14.61464119, 12.96784878, 11.54541874, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.36326075, 1.72759056, 1.24153244, 0.83188516, 0.50118381, 0.22545385, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.60512662, 2.95596409, 2.36326075, 1.72759056, 1.24153244, 0.83188516, 0.50118381, 0.22545385, 0.02916753], + [14.61464119, 13.76078796, 12.2308979, 10.90732002, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.45427561, 3.75677586, 3.07277966, 2.45070267, 1.91321158, 1.46270394, 1.05362725, 0.72133851, 0.43325692, 0.19894916, 0.02916753], + ], + 1.00: [ + [14.61464119, 1.56271636, 0.02916753], + [14.61464119, 6.77309084, 0.95350921, 0.02916753], + [14.61464119, 6.77309084, 2.36326075, 0.803307, 0.02916753], + [14.61464119, 7.11996698, 3.07277966, 1.56271636, 0.59516323, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.41535246, 0.57119018, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.86115354, 0.38853383, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.86115354, 0.38853383, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 4.86714602, 3.07277966, 1.98035145, 1.24153244, 0.72133851, 0.34370604, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.07277966, 1.98035145, 1.24153244, 0.72133851, 0.34370604, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.27973175, 1.51179266, 0.95350921, 0.54755926, 0.25053367, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.36326075, 1.61558151, 1.08895338, 0.72133851, 0.41087446, 0.17026083, 0.02916753], + [14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.36326075, 1.61558151, 1.08895338, 0.72133851, 0.41087446, 0.17026083, 0.02916753], + [14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982, 2.12350607, 1.56271636, 1.08895338, 0.72133851, 0.41087446, 0.17026083, 0.02916753], + [14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982, 2.19988537, 1.61558151, 1.162866, 0.803307, 0.50118381, 0.27464288, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 8.75849152, 7.49001646, 5.85520077, 4.65472794, 3.75677586, 3.07277966, 2.45070267, 1.84880662, 1.36964464, 1.01931262, 0.72133851, 0.45573691, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 5.09240818, 4.26497746, 3.46139455, 2.84484982, 2.19988537, 1.67050016, 1.24153244, 0.92192322, 0.64427125, 0.43325692, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 8.75849152, 7.49001646, 6.14220476, 5.09240818, 4.26497746, 3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.12534678, 0.83188516, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 12.2308979, 9.24142551, 8.30717278, 7.49001646, 6.14220476, 5.09240818, 4.26497746, 3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.12534678, 0.83188516, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 12.2308979, 9.24142551, 8.30717278, 7.49001646, 6.77309084, 5.85520077, 5.09240818, 4.26497746, 3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.12534678, 0.83188516, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753], + ], + 1.05: [ + [14.61464119, 0.95350921, 0.02916753], + [14.61464119, 6.77309084, 0.89115214, 0.02916753], + [14.61464119, 6.77309084, 2.05039096, 0.72133851, 0.02916753], + [14.61464119, 6.77309084, 2.84484982, 1.28281462, 0.52423614, 0.02916753], + [14.61464119, 6.77309084, 3.07277966, 1.61558151, 0.803307, 0.34370604, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.56271636, 0.803307, 0.34370604, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.95350921, 0.52423614, 0.22545385, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.07277966, 1.98035145, 1.24153244, 0.74807048, 0.41087446, 0.17026083, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.27973175, 1.51179266, 0.95350921, 0.59516323, 0.34370604, 0.13792117, 0.02916753], + [14.61464119, 7.49001646, 5.09240818, 3.46139455, 2.45070267, 1.61558151, 1.08895338, 0.72133851, 0.45573691, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.09240818, 3.46139455, 2.45070267, 1.61558151, 1.08895338, 0.72133851, 0.45573691, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.36326075, 1.61558151, 1.08895338, 0.72133851, 0.45573691, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.45070267, 1.72759056, 1.24153244, 0.86115354, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982, 2.19988537, 1.61558151, 1.162866, 0.83188516, 0.59516323, 0.38853383, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.84484982, 2.19988537, 1.67050016, 1.28281462, 0.95350921, 0.72133851, 0.52423614, 0.34370604, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.95596409, 2.36326075, 1.84880662, 1.41535246, 1.08895338, 0.83188516, 0.61951244, 0.45573691, 0.32104823, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.65472794, 3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.20157266, 0.95350921, 0.74807048, 0.57119018, 0.43325692, 0.29807833, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 8.30717278, 7.11996698, 5.85520077, 4.65472794, 3.60512662, 2.95596409, 2.45070267, 1.91321158, 1.51179266, 1.20157266, 0.95350921, 0.74807048, 0.57119018, 0.43325692, 0.29807833, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 8.30717278, 7.11996698, 5.85520077, 4.65472794, 3.60512662, 2.95596409, 2.45070267, 1.98035145, 1.61558151, 1.32549286, 1.08895338, 0.86115354, 0.69515091, 0.54755926, 0.41087446, 0.29807833, 0.19894916, 0.09824532, 0.02916753], + ], + 1.10: [ + [14.61464119, 0.89115214, 0.02916753], + [14.61464119, 2.36326075, 0.72133851, 0.02916753], + [14.61464119, 5.85520077, 1.61558151, 0.57119018, 0.02916753], + [14.61464119, 6.77309084, 2.45070267, 1.08895338, 0.45573691, 0.02916753], + [14.61464119, 6.77309084, 2.95596409, 1.56271636, 0.803307, 0.34370604, 0.02916753], + [14.61464119, 6.77309084, 3.07277966, 1.61558151, 0.89115214, 0.4783645, 0.19894916, 0.02916753], + [14.61464119, 6.77309084, 3.07277966, 1.84880662, 1.08895338, 0.64427125, 0.34370604, 0.13792117, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.84484982, 1.61558151, 0.95350921, 0.54755926, 0.27464288, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.91321158, 1.24153244, 0.803307, 0.4783645, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.05039096, 1.41535246, 0.95350921, 0.64427125, 0.41087446, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.27973175, 1.61558151, 1.12534678, 0.803307, 0.54755926, 0.36617002, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.32507086, 2.45070267, 1.72759056, 1.24153244, 0.89115214, 0.64427125, 0.45573691, 0.32104823, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 5.09240818, 3.60512662, 2.84484982, 2.05039096, 1.51179266, 1.08895338, 0.803307, 0.59516323, 0.43325692, 0.29807833, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 5.09240818, 3.60512662, 2.84484982, 2.12350607, 1.61558151, 1.24153244, 0.95350921, 0.72133851, 0.54755926, 0.41087446, 0.29807833, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.08895338, 0.83188516, 0.64427125, 0.50118381, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 5.85520077, 4.45427561, 3.1956799, 2.45070267, 1.91321158, 1.51179266, 1.20157266, 0.95350921, 0.74807048, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 5.85520077, 4.45427561, 3.46139455, 2.84484982, 2.19988537, 1.72759056, 1.36964464, 1.08895338, 0.86115354, 0.69515091, 0.54755926, 0.43325692, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.46139455, 2.84484982, 2.19988537, 1.72759056, 1.36964464, 1.08895338, 0.86115354, 0.69515091, 0.54755926, 0.43325692, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 11.54541874, 7.49001646, 5.85520077, 4.45427561, 3.46139455, 2.84484982, 2.19988537, 1.72759056, 1.36964464, 1.08895338, 0.89115214, 0.72133851, 0.59516323, 0.4783645, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753], + ], + 1.15: [ + [14.61464119, 0.83188516, 0.02916753], + [14.61464119, 1.84880662, 0.59516323, 0.02916753], + [14.61464119, 5.85520077, 1.56271636, 0.52423614, 0.02916753], + [14.61464119, 5.85520077, 1.91321158, 0.83188516, 0.34370604, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.24153244, 0.59516323, 0.25053367, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.51179266, 0.803307, 0.41087446, 0.17026083, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.56271636, 0.89115214, 0.50118381, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 6.77309084, 3.07277966, 1.84880662, 1.12534678, 0.72133851, 0.43325692, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 6.77309084, 3.07277966, 1.91321158, 1.24153244, 0.803307, 0.52423614, 0.34370604, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 2.95596409, 1.91321158, 1.24153244, 0.803307, 0.52423614, 0.34370604, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.05039096, 1.36964464, 0.95350921, 0.69515091, 0.4783645, 0.32104823, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.803307, 0.59516323, 0.43325692, 0.29807833, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.803307, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.07277966, 2.19988537, 1.61558151, 1.24153244, 0.95350921, 0.74807048, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.78698075, 1.32549286, 1.01931262, 0.803307, 0.64427125, 0.50118381, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.78698075, 1.32549286, 1.01931262, 0.803307, 0.64427125, 0.52423614, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.12534678, 0.89115214, 0.72133851, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.12534678, 0.89115214, 0.72133851, 0.59516323, 0.50118381, 0.41087446, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.86714602, 3.1956799, 2.45070267, 1.84880662, 1.41535246, 1.12534678, 0.89115214, 0.72133851, 0.59516323, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.20: [ + [14.61464119, 0.803307, 0.02916753], + [14.61464119, 1.56271636, 0.52423614, 0.02916753], + [14.61464119, 2.36326075, 0.92192322, 0.36617002, 0.02916753], + [14.61464119, 2.84484982, 1.24153244, 0.59516323, 0.25053367, 0.02916753], + [14.61464119, 5.85520077, 2.05039096, 0.95350921, 0.45573691, 0.17026083, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.24153244, 0.64427125, 0.29807833, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.36964464, 0.803307, 0.45573691, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.61558151, 0.95350921, 0.59516323, 0.36617002, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.67050016, 1.08895338, 0.74807048, 0.50118381, 0.32104823, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.95596409, 1.84880662, 1.24153244, 0.83188516, 0.59516323, 0.41087446, 0.27464288, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 3.07277966, 1.98035145, 1.36964464, 0.95350921, 0.69515091, 0.50118381, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 6.77309084, 3.46139455, 2.36326075, 1.56271636, 1.08895338, 0.803307, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 6.77309084, 3.46139455, 2.45070267, 1.61558151, 1.162866, 0.86115354, 0.64427125, 0.50118381, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.83188516, 0.64427125, 0.50118381, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.83188516, 0.64427125, 0.50118381, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.12350607, 1.51179266, 1.08895338, 0.83188516, 0.64427125, 0.50118381, 0.41087446, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.19988537, 1.61558151, 1.20157266, 0.92192322, 0.72133851, 0.57119018, 0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.19988537, 1.61558151, 1.24153244, 0.95350921, 0.74807048, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 7.49001646, 4.65472794, 3.07277966, 2.19988537, 1.61558151, 1.24153244, 0.95350921, 0.74807048, 0.59516323, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.25: [ + [14.61464119, 0.72133851, 0.02916753], + [14.61464119, 1.56271636, 0.50118381, 0.02916753], + [14.61464119, 2.05039096, 0.803307, 0.32104823, 0.02916753], + [14.61464119, 2.36326075, 0.95350921, 0.43325692, 0.17026083, 0.02916753], + [14.61464119, 2.84484982, 1.24153244, 0.59516323, 0.27464288, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.51179266, 0.803307, 0.43325692, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.36326075, 1.24153244, 0.72133851, 0.41087446, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.36964464, 0.83188516, 0.52423614, 0.34370604, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.61558151, 0.98595673, 0.64427125, 0.43325692, 0.27464288, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.67050016, 1.08895338, 0.74807048, 0.52423614, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.72759056, 1.162866, 0.803307, 0.59516323, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.95596409, 1.84880662, 1.24153244, 0.86115354, 0.64427125, 0.4783645, 0.36617002, 0.27464288, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.95596409, 1.84880662, 1.28281462, 0.92192322, 0.69515091, 0.52423614, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.95596409, 1.91321158, 1.32549286, 0.95350921, 0.72133851, 0.54755926, 0.43325692, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.95596409, 1.91321158, 1.32549286, 0.95350921, 0.72133851, 0.57119018, 0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.95596409, 1.91321158, 1.32549286, 0.95350921, 0.74807048, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 3.07277966, 2.05039096, 1.41535246, 1.05362725, 0.803307, 0.61951244, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 3.07277966, 2.05039096, 1.41535246, 1.05362725, 0.803307, 0.64427125, 0.52423614, 0.43325692, 0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 3.07277966, 2.05039096, 1.46270394, 1.08895338, 0.83188516, 0.66947293, 0.54755926, 0.45573691, 0.38853383, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.30: [ + [14.61464119, 0.72133851, 0.02916753], + [14.61464119, 1.24153244, 0.43325692, 0.02916753], + [14.61464119, 1.56271636, 0.59516323, 0.22545385, 0.02916753], + [14.61464119, 1.84880662, 0.803307, 0.36617002, 0.13792117, 0.02916753], + [14.61464119, 2.36326075, 1.01931262, 0.52423614, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.36964464, 0.74807048, 0.41087446, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.56271636, 0.89115214, 0.54755926, 0.34370604, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.61558151, 0.95350921, 0.61951244, 0.41087446, 0.27464288, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.36964464, 0.83188516, 0.54755926, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.41535246, 0.92192322, 0.64427125, 0.45573691, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.6383388, 1.56271636, 1.01931262, 0.72133851, 0.50118381, 0.36617002, 0.27464288, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.05362725, 0.74807048, 0.54755926, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.08895338, 0.77538133, 0.57119018, 0.43325692, 0.34370604, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.59516323, 0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.72759056, 1.162866, 0.83188516, 0.64427125, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.72759056, 1.162866, 0.83188516, 0.64427125, 0.52423614, 0.43325692, 0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.78698075, 1.24153244, 0.92192322, 0.72133851, 0.57119018, 0.45573691, 0.38853383, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.84484982, 1.78698075, 1.24153244, 0.92192322, 0.72133851, 0.57119018, 0.4783645, 0.41087446, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.35: [ + [14.61464119, 0.69515091, 0.02916753], + [14.61464119, 0.95350921, 0.34370604, 0.02916753], + [14.61464119, 1.56271636, 0.57119018, 0.19894916, 0.02916753], + [14.61464119, 1.61558151, 0.69515091, 0.29807833, 0.09824532, 0.02916753], + [14.61464119, 1.84880662, 0.83188516, 0.43325692, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.162866, 0.64427125, 0.36617002, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.36964464, 0.803307, 0.50118381, 0.32104823, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.41535246, 0.83188516, 0.54755926, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 0.95350921, 0.64427125, 0.45573691, 0.32104823, 0.22545385, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 0.95350921, 0.64427125, 0.45573691, 0.34370604, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.61558151, 1.01931262, 0.72133851, 0.52423614, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.61558151, 1.01931262, 0.72133851, 0.52423614, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.61558151, 1.05362725, 0.74807048, 0.54755926, 0.43325692, 0.34370604, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.72759056, 1.12534678, 0.803307, 0.59516323, 0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 3.07277966, 1.72759056, 1.12534678, 0.803307, 0.59516323, 0.4783645, 0.38853383, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.45070267, 1.51179266, 1.01931262, 0.74807048, 0.57119018, 0.45573691, 0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.6383388, 1.61558151, 1.08895338, 0.803307, 0.61951244, 0.50118381, 0.41087446, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.6383388, 1.61558151, 1.08895338, 0.803307, 0.64427125, 0.52423614, 0.43325692, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 5.85520077, 2.6383388, 1.61558151, 1.08895338, 0.803307, 0.64427125, 0.52423614, 0.45573691, 0.38853383, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.40: [ + [14.61464119, 0.59516323, 0.02916753], + [14.61464119, 0.95350921, 0.34370604, 0.02916753], + [14.61464119, 1.08895338, 0.43325692, 0.13792117, 0.02916753], + [14.61464119, 1.56271636, 0.64427125, 0.27464288, 0.09824532, 0.02916753], + [14.61464119, 1.61558151, 0.803307, 0.43325692, 0.22545385, 0.09824532, 0.02916753], + [14.61464119, 2.05039096, 0.95350921, 0.54755926, 0.34370604, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.24153244, 0.72133851, 0.43325692, 0.27464288, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.24153244, 0.74807048, 0.50118381, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.28281462, 0.803307, 0.52423614, 0.36617002, 0.27464288, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.28281462, 0.803307, 0.54755926, 0.38853383, 0.29807833, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.41535246, 0.86115354, 0.59516323, 0.43325692, 0.32104823, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.64427125, 0.45573691, 0.34370604, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.64427125, 0.4783645, 0.36617002, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 0.98595673, 0.69515091, 0.52423614, 0.41087446, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 1.01931262, 0.72133851, 0.54755926, 0.43325692, 0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.61558151, 1.05362725, 0.74807048, 0.57119018, 0.45573691, 0.38853383, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.61951244, 0.50118381, 0.41087446, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.61951244, 0.50118381, 0.43325692, 0.38853383, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.61558151, 1.08895338, 0.803307, 0.64427125, 0.52423614, 0.45573691, 0.41087446, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.45: [ + [14.61464119, 0.59516323, 0.02916753], + [14.61464119, 0.803307, 0.25053367, 0.02916753], + [14.61464119, 0.95350921, 0.34370604, 0.09824532, 0.02916753], + [14.61464119, 1.24153244, 0.54755926, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 1.56271636, 0.72133851, 0.36617002, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 1.61558151, 0.803307, 0.45573691, 0.27464288, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 1.91321158, 0.95350921, 0.57119018, 0.36617002, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 2.19988537, 1.08895338, 0.64427125, 0.41087446, 0.27464288, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.24153244, 0.74807048, 0.50118381, 0.34370604, 0.25053367, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.24153244, 0.74807048, 0.50118381, 0.36617002, 0.27464288, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.28281462, 0.803307, 0.54755926, 0.41087446, 0.32104823, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.28281462, 0.803307, 0.57119018, 0.43325692, 0.34370604, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.28281462, 0.83188516, 0.59516323, 0.45573691, 0.36617002, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.28281462, 0.83188516, 0.59516323, 0.45573691, 0.36617002, 0.32104823, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.69515091, 0.52423614, 0.41087446, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.51179266, 0.95350921, 0.69515091, 0.52423614, 0.43325692, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 0.98595673, 0.72133851, 0.54755926, 0.45573691, 0.38853383, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 1.01931262, 0.74807048, 0.57119018, 0.4783645, 0.41087446, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.84484982, 1.56271636, 1.01931262, 0.74807048, 0.59516323, 0.50118381, 0.43325692, 0.38853383, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], + 1.50: [ + [14.61464119, 0.54755926, 0.02916753], + [14.61464119, 0.803307, 0.25053367, 0.02916753], + [14.61464119, 0.86115354, 0.32104823, 0.09824532, 0.02916753], + [14.61464119, 1.24153244, 0.54755926, 0.25053367, 0.09824532, 0.02916753], + [14.61464119, 1.56271636, 0.72133851, 0.36617002, 0.19894916, 0.09824532, 0.02916753], + [14.61464119, 1.61558151, 0.803307, 0.45573691, 0.27464288, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 1.61558151, 0.83188516, 0.52423614, 0.34370604, 0.25053367, 0.17026083, 0.09824532, 0.02916753], + [14.61464119, 1.84880662, 0.95350921, 0.59516323, 0.38853383, 0.27464288, 0.19894916, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 1.84880662, 0.95350921, 0.59516323, 0.41087446, 0.29807833, 0.22545385, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 1.84880662, 0.95350921, 0.61951244, 0.43325692, 0.32104823, 0.25053367, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.19988537, 1.12534678, 0.72133851, 0.50118381, 0.36617002, 0.27464288, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.19988537, 1.12534678, 0.72133851, 0.50118381, 0.36617002, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.36326075, 1.24153244, 0.803307, 0.57119018, 0.43325692, 0.34370604, 0.29807833, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.36326075, 1.24153244, 0.803307, 0.57119018, 0.43325692, 0.34370604, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.36326075, 1.24153244, 0.803307, 0.59516323, 0.45573691, 0.36617002, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.36326075, 1.24153244, 0.803307, 0.59516323, 0.45573691, 0.38853383, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.32549286, 0.86115354, 0.64427125, 0.50118381, 0.41087446, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.36964464, 0.92192322, 0.69515091, 0.54755926, 0.45573691, 0.41087446, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + [14.61464119, 2.45070267, 1.41535246, 0.95350921, 0.72133851, 0.57119018, 0.4783645, 0.43325692, 0.38853383, 0.36617002, 0.34370604, 0.32104823, 0.29807833, 0.27464288, 0.25053367, 0.22545385, 0.19894916, 0.17026083, 0.13792117, 0.09824532, 0.02916753], + ], +} + +class GITSScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"coeff": ("FLOAT", {"default": 1.20, "min": 0.80, "max": 1.50, "step": 0.05}), + "steps": ("INT", {"default": 10, "min": 2, "max": 1000}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, coeff, steps, denoise): + total_steps = steps + if denoise < 1.0: + if denoise <= 0.0: + return (torch.FloatTensor([]),) + total_steps = round(steps * denoise) + + if steps <= 20: + sigmas = NOISE_LEVELS[round(coeff, 2)][steps-2][:] + else: + sigmas = NOISE_LEVELS[round(coeff, 2)][-1][:] + sigmas = loglinear_interp(sigmas, steps + 1) + + sigmas = sigmas[-(total_steps + 1):] + sigmas[-1] = 0 + return (torch.FloatTensor(sigmas), ) + +NODE_CLASS_MAPPINGS = { + "GITSScheduler": GITSScheduler, +} diff --git a/comfy_extras/nodes_hidream.py b/comfy_extras/nodes_hidream.py new file mode 100644 index 0000000000000000000000000000000000000000..dfb98597b8427622360588994c5fc8f75c3e6a1e --- /dev/null +++ b/comfy_extras/nodes_hidream.py @@ -0,0 +1,55 @@ +import folder_paths +import comfy.sd +import comfy.model_management + + +class QuadrupleCLIPLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ), + "clip_name2": (folder_paths.get_filename_list("text_encoders"), ), + "clip_name3": (folder_paths.get_filename_list("text_encoders"), ), + "clip_name4": (folder_paths.get_filename_list("text_encoders"), ) + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "load_clip" + + CATEGORY = "advanced/loaders" + + DESCRIPTION = "[Recipes]\n\nhidream: long clip-l, long clip-g, t5xxl, llama_8b_3.1_instruct" + + def load_clip(self, clip_name1, clip_name2, clip_name3, clip_name4): + clip_path1 = folder_paths.get_full_path_or_raise("text_encoders", clip_name1) + clip_path2 = folder_paths.get_full_path_or_raise("text_encoders", clip_name2) + clip_path3 = folder_paths.get_full_path_or_raise("text_encoders", clip_name3) + clip_path4 = folder_paths.get_full_path_or_raise("text_encoders", clip_name4) + clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2, clip_path3, clip_path4], embedding_directory=folder_paths.get_folder_paths("embeddings")) + return (clip,) + +class CLIPTextEncodeHiDream: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "clip_g": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "llama": ("STRING", {"multiline": True, "dynamicPrompts": True}) + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, clip_l, clip_g, t5xxl, llama): + + tokens = clip.tokenize(clip_g) + tokens["l"] = clip.tokenize(clip_l)["l"] + tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"] + tokens["llama"] = clip.tokenize(llama)["llama"] + return (clip.encode_from_tokens_scheduled(tokens), ) + +NODE_CLASS_MAPPINGS = { + "QuadrupleCLIPLoader": QuadrupleCLIPLoader, + "CLIPTextEncodeHiDream": CLIPTextEncodeHiDream, +} diff --git a/comfy_extras/nodes_hooks.py b/comfy_extras/nodes_hooks.py new file mode 100644 index 0000000000000000000000000000000000000000..1edc06f3d7ae6b0682b03afe666ef936b16f2f28 --- /dev/null +++ b/comfy_extras/nodes_hooks.py @@ -0,0 +1,745 @@ +from __future__ import annotations +from typing import TYPE_CHECKING, Union +import logging +import torch +from collections.abc import Iterable + +if TYPE_CHECKING: + from comfy.sd import CLIP + +import comfy.hooks +import comfy.sd +import comfy.utils +import folder_paths + +########################################### +# Mask, Combine, and Hook Conditioning +#------------------------------------------ +class PairConditioningSetProperties: + NodeId = 'PairConditioningSetProperties' + NodeName = 'Cond Pair Set Props' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "positive_NEW": ("CONDITIONING", ), + "negative_NEW": ("CONDITIONING", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "set_cond_area": (["default", "mask bounds"],), + }, + "optional": { + "mask": ("MASK", ), + "hooks": ("HOOKS",), + "timesteps": ("TIMESTEPS_RANGE",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + CATEGORY = "advanced/hooks/cond pair" + FUNCTION = "set_properties" + + def set_properties(self, positive_NEW, negative_NEW, + strength: float, set_cond_area: str, + mask: torch.Tensor=None, hooks: comfy.hooks.HookGroup=None, timesteps: tuple=None): + final_positive, final_negative = comfy.hooks.set_conds_props(conds=[positive_NEW, negative_NEW], + strength=strength, set_cond_area=set_cond_area, + mask=mask, hooks=hooks, timesteps_range=timesteps) + return (final_positive, final_negative) + +class PairConditioningSetPropertiesAndCombine: + NodeId = 'PairConditioningSetPropertiesAndCombine' + NodeName = 'Cond Pair Set Props Combine' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "positive_NEW": ("CONDITIONING", ), + "negative_NEW": ("CONDITIONING", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "set_cond_area": (["default", "mask bounds"],), + }, + "optional": { + "mask": ("MASK", ), + "hooks": ("HOOKS",), + "timesteps": ("TIMESTEPS_RANGE",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + CATEGORY = "advanced/hooks/cond pair" + FUNCTION = "set_properties" + + def set_properties(self, positive, negative, positive_NEW, negative_NEW, + strength: float, set_cond_area: str, + mask: torch.Tensor=None, hooks: comfy.hooks.HookGroup=None, timesteps: tuple=None): + final_positive, final_negative = comfy.hooks.set_conds_props_and_combine(conds=[positive, negative], new_conds=[positive_NEW, negative_NEW], + strength=strength, set_cond_area=set_cond_area, + mask=mask, hooks=hooks, timesteps_range=timesteps) + return (final_positive, final_negative) + +class ConditioningSetProperties: + NodeId = 'ConditioningSetProperties' + NodeName = 'Cond Set Props' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "cond_NEW": ("CONDITIONING", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "set_cond_area": (["default", "mask bounds"],), + }, + "optional": { + "mask": ("MASK", ), + "hooks": ("HOOKS",), + "timesteps": ("TIMESTEPS_RANGE",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING",) + CATEGORY = "advanced/hooks/cond single" + FUNCTION = "set_properties" + + def set_properties(self, cond_NEW, + strength: float, set_cond_area: str, + mask: torch.Tensor=None, hooks: comfy.hooks.HookGroup=None, timesteps: tuple=None): + (final_cond,) = comfy.hooks.set_conds_props(conds=[cond_NEW], + strength=strength, set_cond_area=set_cond_area, + mask=mask, hooks=hooks, timesteps_range=timesteps) + return (final_cond,) + +class ConditioningSetPropertiesAndCombine: + NodeId = 'ConditioningSetPropertiesAndCombine' + NodeName = 'Cond Set Props Combine' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "cond": ("CONDITIONING", ), + "cond_NEW": ("CONDITIONING", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "set_cond_area": (["default", "mask bounds"],), + }, + "optional": { + "mask": ("MASK", ), + "hooks": ("HOOKS",), + "timesteps": ("TIMESTEPS_RANGE",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING",) + CATEGORY = "advanced/hooks/cond single" + FUNCTION = "set_properties" + + def set_properties(self, cond, cond_NEW, + strength: float, set_cond_area: str, + mask: torch.Tensor=None, hooks: comfy.hooks.HookGroup=None, timesteps: tuple=None): + (final_cond,) = comfy.hooks.set_conds_props_and_combine(conds=[cond], new_conds=[cond_NEW], + strength=strength, set_cond_area=set_cond_area, + mask=mask, hooks=hooks, timesteps_range=timesteps) + return (final_cond,) + +class PairConditioningCombine: + NodeId = 'PairConditioningCombine' + NodeName = 'Cond Pair Combine' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "positive_A": ("CONDITIONING",), + "negative_A": ("CONDITIONING",), + "positive_B": ("CONDITIONING",), + "negative_B": ("CONDITIONING",), + }, + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + CATEGORY = "advanced/hooks/cond pair" + FUNCTION = "combine" + + def combine(self, positive_A, negative_A, positive_B, negative_B): + final_positive, final_negative = comfy.hooks.set_conds_props_and_combine(conds=[positive_A, negative_A], new_conds=[positive_B, negative_B],) + return (final_positive, final_negative,) + +class PairConditioningSetDefaultAndCombine: + NodeId = 'PairConditioningSetDefaultCombine' + NodeName = 'Cond Pair Set Default Combine' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "positive": ("CONDITIONING",), + "negative": ("CONDITIONING",), + "positive_DEFAULT": ("CONDITIONING",), + "negative_DEFAULT": ("CONDITIONING",), + }, + "optional": { + "hooks": ("HOOKS",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + CATEGORY = "advanced/hooks/cond pair" + FUNCTION = "set_default_and_combine" + + def set_default_and_combine(self, positive, negative, positive_DEFAULT, negative_DEFAULT, + hooks: comfy.hooks.HookGroup=None): + final_positive, final_negative = comfy.hooks.set_default_conds_and_combine(conds=[positive, negative], new_conds=[positive_DEFAULT, negative_DEFAULT], + hooks=hooks) + return (final_positive, final_negative) + +class ConditioningSetDefaultAndCombine: + NodeId = 'ConditioningSetDefaultCombine' + NodeName = 'Cond Set Default Combine' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "cond": ("CONDITIONING",), + "cond_DEFAULT": ("CONDITIONING",), + }, + "optional": { + "hooks": ("HOOKS",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING",) + CATEGORY = "advanced/hooks/cond single" + FUNCTION = "set_default_and_combine" + + def set_default_and_combine(self, cond, cond_DEFAULT, + hooks: comfy.hooks.HookGroup=None): + (final_conditioning,) = comfy.hooks.set_default_conds_and_combine(conds=[cond], new_conds=[cond_DEFAULT], + hooks=hooks) + return (final_conditioning,) + +class SetClipHooks: + NodeId = 'SetClipHooks' + NodeName = 'Set CLIP Hooks' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "clip": ("CLIP",), + "apply_to_conds": ("BOOLEAN", {"default": True}), + "schedule_clip": ("BOOLEAN", {"default": False}) + }, + "optional": { + "hooks": ("HOOKS",) + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CLIP",) + CATEGORY = "advanced/hooks/clip" + FUNCTION = "apply_hooks" + + def apply_hooks(self, clip: CLIP, schedule_clip: bool, apply_to_conds: bool, hooks: comfy.hooks.HookGroup=None): + if hooks is not None: + clip = clip.clone() + if apply_to_conds: + clip.apply_hooks_to_conds = hooks + clip.patcher.forced_hooks = hooks.clone() + clip.use_clip_schedule = schedule_clip + if not clip.use_clip_schedule: + clip.patcher.forced_hooks.set_keyframes_on_hooks(None) + clip.patcher.register_all_hook_patches(hooks, comfy.hooks.create_target_dict(comfy.hooks.EnumWeightTarget.Clip)) + return (clip,) + +class ConditioningTimestepsRange: + NodeId = 'ConditioningTimestepsRange' + NodeName = 'Timesteps Range' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}) + }, + } + + EXPERIMENTAL = True + RETURN_TYPES = ("TIMESTEPS_RANGE", "TIMESTEPS_RANGE", "TIMESTEPS_RANGE") + RETURN_NAMES = ("TIMESTEPS_RANGE", "BEFORE_RANGE", "AFTER_RANGE") + CATEGORY = "advanced/hooks" + FUNCTION = "create_range" + + def create_range(self, start_percent: float, end_percent: float): + return ((start_percent, end_percent), (0.0, start_percent), (end_percent, 1.0)) +#------------------------------------------ +########################################### + + +########################################### +# Create Hooks +#------------------------------------------ +class CreateHookLora: + NodeId = 'CreateHookLora' + NodeName = 'Create Hook LoRA' + def __init__(self): + self.loaded_lora = None + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "lora_name": (folder_paths.get_filename_list("loras"), ), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + }, + "optional": { + "prev_hooks": ("HOOKS",) + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/create" + FUNCTION = "create_hook" + + def create_hook(self, lora_name: str, strength_model: float, strength_clip: float, prev_hooks: comfy.hooks.HookGroup=None): + if prev_hooks is None: + prev_hooks = comfy.hooks.HookGroup() + prev_hooks.clone() + + if strength_model == 0 and strength_clip == 0: + return (prev_hooks,) + + lora_path = folder_paths.get_full_path("loras", lora_name) + lora = None + if self.loaded_lora is not None: + if self.loaded_lora[0] == lora_path: + lora = self.loaded_lora[1] + else: + temp = self.loaded_lora + self.loaded_lora = None + del temp + + if lora is None: + lora = comfy.utils.load_torch_file(lora_path, safe_load=True) + self.loaded_lora = (lora_path, lora) + + hooks = comfy.hooks.create_hook_lora(lora=lora, strength_model=strength_model, strength_clip=strength_clip) + return (prev_hooks.clone_and_combine(hooks),) + +class CreateHookLoraModelOnly(CreateHookLora): + NodeId = 'CreateHookLoraModelOnly' + NodeName = 'Create Hook LoRA (MO)' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "lora_name": (folder_paths.get_filename_list("loras"), ), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + }, + "optional": { + "prev_hooks": ("HOOKS",) + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/create" + FUNCTION = "create_hook_model_only" + + def create_hook_model_only(self, lora_name: str, strength_model: float, prev_hooks: comfy.hooks.HookGroup=None): + return self.create_hook(lora_name=lora_name, strength_model=strength_model, strength_clip=0, prev_hooks=prev_hooks) + +class CreateHookModelAsLora: + NodeId = 'CreateHookModelAsLora' + NodeName = 'Create Hook Model as LoRA' + + def __init__(self): + # when not None, will be in following format: + # (ckpt_path: str, weights_model: dict, weights_clip: dict) + self.loaded_weights = None + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + }, + "optional": { + "prev_hooks": ("HOOKS",) + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/create" + FUNCTION = "create_hook" + + def create_hook(self, ckpt_name: str, strength_model: float, strength_clip: float, + prev_hooks: comfy.hooks.HookGroup=None): + if prev_hooks is None: + prev_hooks = comfy.hooks.HookGroup() + prev_hooks.clone() + + ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name) + weights_model = None + weights_clip = None + if self.loaded_weights is not None: + if self.loaded_weights[0] == ckpt_path: + weights_model = self.loaded_weights[1] + weights_clip = self.loaded_weights[2] + else: + temp = self.loaded_weights + self.loaded_weights = None + del temp + + if weights_model is None: + out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) + weights_model = comfy.hooks.get_patch_weights_from_model(out[0]) + weights_clip = comfy.hooks.get_patch_weights_from_model(out[1].patcher if out[1] else out[1]) + self.loaded_weights = (ckpt_path, weights_model, weights_clip) + + hooks = comfy.hooks.create_hook_model_as_lora(weights_model=weights_model, weights_clip=weights_clip, + strength_model=strength_model, strength_clip=strength_clip) + return (prev_hooks.clone_and_combine(hooks),) + +class CreateHookModelAsLoraModelOnly(CreateHookModelAsLora): + NodeId = 'CreateHookModelAsLoraModelOnly' + NodeName = 'Create Hook Model as LoRA (MO)' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ), + "strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + }, + "optional": { + "prev_hooks": ("HOOKS",) + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/create" + FUNCTION = "create_hook_model_only" + + def create_hook_model_only(self, ckpt_name: str, strength_model: float, + prev_hooks: comfy.hooks.HookGroup=None): + return self.create_hook(ckpt_name=ckpt_name, strength_model=strength_model, strength_clip=0.0, prev_hooks=prev_hooks) +#------------------------------------------ +########################################### + + +########################################### +# Schedule Hooks +#------------------------------------------ +class SetHookKeyframes: + NodeId = 'SetHookKeyframes' + NodeName = 'Set Hook Keyframes' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "hooks": ("HOOKS",), + }, + "optional": { + "hook_kf": ("HOOK_KEYFRAMES",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/scheduling" + FUNCTION = "set_hook_keyframes" + + def set_hook_keyframes(self, hooks: comfy.hooks.HookGroup, hook_kf: comfy.hooks.HookKeyframeGroup=None): + if hook_kf is not None: + hooks = hooks.clone() + hooks.set_keyframes_on_hooks(hook_kf=hook_kf) + return (hooks,) + +class CreateHookKeyframe: + NodeId = 'CreateHookKeyframe' + NodeName = 'Create Hook Keyframe' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "strength_mult": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + }, + "optional": { + "prev_hook_kf": ("HOOK_KEYFRAMES",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOK_KEYFRAMES",) + RETURN_NAMES = ("HOOK_KF",) + CATEGORY = "advanced/hooks/scheduling" + FUNCTION = "create_hook_keyframe" + + def create_hook_keyframe(self, strength_mult: float, start_percent: float, prev_hook_kf: comfy.hooks.HookKeyframeGroup=None): + if prev_hook_kf is None: + prev_hook_kf = comfy.hooks.HookKeyframeGroup() + prev_hook_kf = prev_hook_kf.clone() + keyframe = comfy.hooks.HookKeyframe(strength=strength_mult, start_percent=start_percent) + prev_hook_kf.add(keyframe) + return (prev_hook_kf,) + +class CreateHookKeyframesInterpolated: + NodeId = 'CreateHookKeyframesInterpolated' + NodeName = 'Create Hook Keyframes Interp.' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "strength_start": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ), + "strength_end": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ), + "interpolation": (comfy.hooks.InterpolationMethod._LIST, ), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "keyframes_count": ("INT", {"default": 5, "min": 2, "max": 100, "step": 1}), + "print_keyframes": ("BOOLEAN", {"default": False}), + }, + "optional": { + "prev_hook_kf": ("HOOK_KEYFRAMES",), + }, + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOK_KEYFRAMES",) + RETURN_NAMES = ("HOOK_KF",) + CATEGORY = "advanced/hooks/scheduling" + FUNCTION = "create_hook_keyframes" + + def create_hook_keyframes(self, strength_start: float, strength_end: float, interpolation: str, + start_percent: float, end_percent: float, keyframes_count: int, + print_keyframes=False, prev_hook_kf: comfy.hooks.HookKeyframeGroup=None): + if prev_hook_kf is None: + prev_hook_kf = comfy.hooks.HookKeyframeGroup() + prev_hook_kf = prev_hook_kf.clone() + percents = comfy.hooks.InterpolationMethod.get_weights(num_from=start_percent, num_to=end_percent, length=keyframes_count, + method=comfy.hooks.InterpolationMethod.LINEAR) + strengths = comfy.hooks.InterpolationMethod.get_weights(num_from=strength_start, num_to=strength_end, length=keyframes_count, method=interpolation) + + is_first = True + for percent, strength in zip(percents, strengths): + guarantee_steps = 0 + if is_first: + guarantee_steps = 1 + is_first = False + prev_hook_kf.add(comfy.hooks.HookKeyframe(strength=strength, start_percent=percent, guarantee_steps=guarantee_steps)) + if print_keyframes: + logging.info(f"Hook Keyframe - start_percent:{percent} = {strength}") + return (prev_hook_kf,) + +class CreateHookKeyframesFromFloats: + NodeId = 'CreateHookKeyframesFromFloats' + NodeName = 'Create Hook Keyframes From Floats' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "floats_strength": ("FLOATS", {"default": -1, "min": -1, "step": 0.001, "forceInput": True}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "print_keyframes": ("BOOLEAN", {"default": False}), + }, + "optional": { + "prev_hook_kf": ("HOOK_KEYFRAMES",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOK_KEYFRAMES",) + RETURN_NAMES = ("HOOK_KF",) + CATEGORY = "advanced/hooks/scheduling" + FUNCTION = "create_hook_keyframes" + + def create_hook_keyframes(self, floats_strength: Union[float, list[float]], + start_percent: float, end_percent: float, + prev_hook_kf: comfy.hooks.HookKeyframeGroup=None, print_keyframes=False): + if prev_hook_kf is None: + prev_hook_kf = comfy.hooks.HookKeyframeGroup() + prev_hook_kf = prev_hook_kf.clone() + if type(floats_strength) in (float, int): + floats_strength = [float(floats_strength)] + elif isinstance(floats_strength, Iterable): + pass + else: + raise Exception(f"floats_strength must be either an iterable input or a float, but was{type(floats_strength).__repr__}.") + percents = comfy.hooks.InterpolationMethod.get_weights(num_from=start_percent, num_to=end_percent, length=len(floats_strength), + method=comfy.hooks.InterpolationMethod.LINEAR) + + is_first = True + for percent, strength in zip(percents, floats_strength): + guarantee_steps = 0 + if is_first: + guarantee_steps = 1 + is_first = False + prev_hook_kf.add(comfy.hooks.HookKeyframe(strength=strength, start_percent=percent, guarantee_steps=guarantee_steps)) + if print_keyframes: + logging.info(f"Hook Keyframe - start_percent:{percent} = {strength}") + return (prev_hook_kf,) +#------------------------------------------ +########################################### + + +class SetModelHooksOnCond: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "conditioning": ("CONDITIONING",), + "hooks": ("HOOKS",), + }, + } + + EXPERIMENTAL = True + RETURN_TYPES = ("CONDITIONING",) + CATEGORY = "advanced/hooks/manual" + FUNCTION = "attach_hook" + + def attach_hook(self, conditioning, hooks: comfy.hooks.HookGroup): + return (comfy.hooks.set_hooks_for_conditioning(conditioning, hooks),) + + +########################################### +# Combine Hooks +#------------------------------------------ +class CombineHooks: + NodeId = 'CombineHooks2' + NodeName = 'Combine Hooks [2]' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + }, + "optional": { + "hooks_A": ("HOOKS",), + "hooks_B": ("HOOKS",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/combine" + FUNCTION = "combine_hooks" + + def combine_hooks(self, + hooks_A: comfy.hooks.HookGroup=None, + hooks_B: comfy.hooks.HookGroup=None): + candidates = [hooks_A, hooks_B] + return (comfy.hooks.HookGroup.combine_all_hooks(candidates),) + +class CombineHooksFour: + NodeId = 'CombineHooks4' + NodeName = 'Combine Hooks [4]' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + }, + "optional": { + "hooks_A": ("HOOKS",), + "hooks_B": ("HOOKS",), + "hooks_C": ("HOOKS",), + "hooks_D": ("HOOKS",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/combine" + FUNCTION = "combine_hooks" + + def combine_hooks(self, + hooks_A: comfy.hooks.HookGroup=None, + hooks_B: comfy.hooks.HookGroup=None, + hooks_C: comfy.hooks.HookGroup=None, + hooks_D: comfy.hooks.HookGroup=None): + candidates = [hooks_A, hooks_B, hooks_C, hooks_D] + return (comfy.hooks.HookGroup.combine_all_hooks(candidates),) + +class CombineHooksEight: + NodeId = 'CombineHooks8' + NodeName = 'Combine Hooks [8]' + @classmethod + def INPUT_TYPES(s): + return { + "required": { + }, + "optional": { + "hooks_A": ("HOOKS",), + "hooks_B": ("HOOKS",), + "hooks_C": ("HOOKS",), + "hooks_D": ("HOOKS",), + "hooks_E": ("HOOKS",), + "hooks_F": ("HOOKS",), + "hooks_G": ("HOOKS",), + "hooks_H": ("HOOKS",), + } + } + + EXPERIMENTAL = True + RETURN_TYPES = ("HOOKS",) + CATEGORY = "advanced/hooks/combine" + FUNCTION = "combine_hooks" + + def combine_hooks(self, + hooks_A: comfy.hooks.HookGroup=None, + hooks_B: comfy.hooks.HookGroup=None, + hooks_C: comfy.hooks.HookGroup=None, + hooks_D: comfy.hooks.HookGroup=None, + hooks_E: comfy.hooks.HookGroup=None, + hooks_F: comfy.hooks.HookGroup=None, + hooks_G: comfy.hooks.HookGroup=None, + hooks_H: comfy.hooks.HookGroup=None): + candidates = [hooks_A, hooks_B, hooks_C, hooks_D, hooks_E, hooks_F, hooks_G, hooks_H] + return (comfy.hooks.HookGroup.combine_all_hooks(candidates),) +#------------------------------------------ +########################################### + +node_list = [ + # Create + CreateHookLora, + CreateHookLoraModelOnly, + CreateHookModelAsLora, + CreateHookModelAsLoraModelOnly, + # Scheduling + SetHookKeyframes, + CreateHookKeyframe, + CreateHookKeyframesInterpolated, + CreateHookKeyframesFromFloats, + # Combine + CombineHooks, + CombineHooksFour, + CombineHooksEight, + # Attach + ConditioningSetProperties, + ConditioningSetPropertiesAndCombine, + PairConditioningSetProperties, + PairConditioningSetPropertiesAndCombine, + ConditioningSetDefaultAndCombine, + PairConditioningSetDefaultAndCombine, + PairConditioningCombine, + SetClipHooks, + # Other + ConditioningTimestepsRange, +] +NODE_CLASS_MAPPINGS = {} +NODE_DISPLAY_NAME_MAPPINGS = {} + +for node in node_list: + NODE_CLASS_MAPPINGS[node.NodeId] = node + NODE_DISPLAY_NAME_MAPPINGS[node.NodeId] = node.NodeName diff --git a/comfy_extras/nodes_hunyuan.py b/comfy_extras/nodes_hunyuan.py new file mode 100644 index 0000000000000000000000000000000000000000..db398cdf14a609571aa7f5c2a3e446c958465737 --- /dev/null +++ b/comfy_extras/nodes_hunyuan.py @@ -0,0 +1,161 @@ +import nodes +import node_helpers +import torch +import comfy.model_management + + +class CLIPTextEncodeHunyuanDiT: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "bert": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "mt5xl": ("STRING", {"multiline": True, "dynamicPrompts": True}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, bert, mt5xl): + tokens = clip.tokenize(bert) + tokens["mt5xl"] = clip.tokenize(mt5xl)["mt5xl"] + + return (clip.encode_from_tokens_scheduled(tokens), ) + +class EmptyHunyuanLatentVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": { "width": ("INT", {"default": 848, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "height": ("INT", {"default": 480, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "length": ("INT", {"default": 25, "min": 1, "max": nodes.MAX_RESOLUTION, "step": 4}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent/video" + + def generate(self, width, height, length, batch_size=1): + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + return ({"samples":latent}, ) + +PROMPT_TEMPLATE_ENCODE_VIDEO_I2V = ( + "<|start_header_id|>system<|end_header_id|>\n\n\nDescribe the video by detailing the following aspects according to the reference image: " + "1. The main content and theme of the video." + "2. The color, shape, size, texture, quantity, text, and spatial relationships of the objects." + "3. Actions, events, behaviors temporal relationships, physical movement changes of the objects." + "4. background environment, light, style and atmosphere." + "5. camera angles, movements, and transitions used in the video:<|eot_id|>\n\n" + "<|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|>" + "<|start_header_id|>assistant<|end_header_id|>\n\n" +) + +class TextEncodeHunyuanVideo_ImageToVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "clip_vision_output": ("CLIP_VISION_OUTPUT", ), + "prompt": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "image_interleave": ("INT", {"default": 2, "min": 1, "max": 512, "tooltip": "How much the image influences things vs the text prompt. Higher number means more influence from the text prompt."}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, clip_vision_output, prompt, image_interleave): + tokens = clip.tokenize(prompt, llama_template=PROMPT_TEMPLATE_ENCODE_VIDEO_I2V, image_embeds=clip_vision_output.mm_projected, image_interleave=image_interleave) + return (clip.encode_from_tokens_scheduled(tokens), ) + +class HunyuanImageToVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "vae": ("VAE", ), + "width": ("INT", {"default": 848, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "height": ("INT", {"default": 480, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "length": ("INT", {"default": 53, "min": 1, "max": nodes.MAX_RESOLUTION, "step": 4}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + "guidance_type": (["v1 (concat)", "v2 (replace)", "custom"], ) + }, + "optional": {"start_image": ("IMAGE", ), + }} + + RETURN_TYPES = ("CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "latent") + FUNCTION = "encode" + + CATEGORY = "conditioning/video_models" + + def encode(self, positive, vae, width, height, length, batch_size, guidance_type, start_image=None): + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + out_latent = {} + + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length, :, :, :3].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + + concat_latent_image = vae.encode(start_image) + mask = torch.ones((1, 1, latent.shape[2], concat_latent_image.shape[-2], concat_latent_image.shape[-1]), device=start_image.device, dtype=start_image.dtype) + mask[:, :, :((start_image.shape[0] - 1) // 4) + 1] = 0.0 + + if guidance_type == "v1 (concat)": + cond = {"concat_latent_image": concat_latent_image, "concat_mask": mask} + elif guidance_type == "v2 (replace)": + cond = {'guiding_frame_index': 0} + latent[:, :, :concat_latent_image.shape[2]] = concat_latent_image + out_latent["noise_mask"] = mask + elif guidance_type == "custom": + cond = {"ref_latent": concat_latent_image} + + positive = node_helpers.conditioning_set_values(positive, cond) + + out_latent["samples"] = latent + return (positive, out_latent) + +class EmptyHunyuanImageLatent: + @classmethod + def INPUT_TYPES(s): + return {"required": { "width": ("INT", {"default": 2048, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 32}), + "height": ("INT", {"default": 2048, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 32}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent" + + def generate(self, width, height, batch_size=1): + latent = torch.zeros([batch_size, 64, height // 32, width // 32], device=comfy.model_management.intermediate_device()) + return ({"samples":latent}, ) + +class HunyuanRefinerLatent: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "latent": ("LATENT", ), + "noise_augmentation": ("FLOAT", {"default": 0.10, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + FUNCTION = "execute" + + def execute(self, positive, negative, latent, noise_augmentation): + latent = latent["samples"] + positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": latent, "noise_augmentation": noise_augmentation}) + negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": latent, "noise_augmentation": noise_augmentation}) + out_latent = {} + out_latent["samples"] = torch.zeros([latent.shape[0], 32, latent.shape[-3], latent.shape[-2], latent.shape[-1]], device=comfy.model_management.intermediate_device()) + return (positive, negative, out_latent) + + +NODE_CLASS_MAPPINGS = { + "CLIPTextEncodeHunyuanDiT": CLIPTextEncodeHunyuanDiT, + "TextEncodeHunyuanVideo_ImageToVideo": TextEncodeHunyuanVideo_ImageToVideo, + "EmptyHunyuanLatentVideo": EmptyHunyuanLatentVideo, + "HunyuanImageToVideo": HunyuanImageToVideo, + "EmptyHunyuanImageLatent": EmptyHunyuanImageLatent, + "HunyuanRefinerLatent": HunyuanRefinerLatent, +} diff --git a/comfy_extras/nodes_hunyuan3d.py b/comfy_extras/nodes_hunyuan3d.py new file mode 100644 index 0000000000000000000000000000000000000000..f6e71e0a898a388b368c59bdde79336e5c2f3ba0 --- /dev/null +++ b/comfy_extras/nodes_hunyuan3d.py @@ -0,0 +1,630 @@ +import torch +import os +import json +import struct +import numpy as np +from comfy.ldm.modules.diffusionmodules.mmdit import get_1d_sincos_pos_embed_from_grid_torch +import folder_paths +import comfy.model_management +from comfy.cli_args import args + +class EmptyLatentHunyuan3Dv2: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "resolution": ("INT", {"default": 3072, "min": 1, "max": 8192}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096, "tooltip": "The number of latent images in the batch."}), + } + } + + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent/3d" + + def generate(self, resolution, batch_size): + latent = torch.zeros([batch_size, 64, resolution], device=comfy.model_management.intermediate_device()) + return ({"samples": latent, "type": "hunyuan3dv2"}, ) + +class Hunyuan3Dv2Conditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": {"clip_vision_output": ("CLIP_VISION_OUTPUT",), + }} + + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + + FUNCTION = "encode" + + CATEGORY = "conditioning/video_models" + + def encode(self, clip_vision_output): + embeds = clip_vision_output.last_hidden_state + positive = [[embeds, {}]] + negative = [[torch.zeros_like(embeds), {}]] + return (positive, negative) + + +class Hunyuan3Dv2ConditioningMultiView: + @classmethod + def INPUT_TYPES(s): + return {"required": {}, + "optional": {"front": ("CLIP_VISION_OUTPUT",), + "left": ("CLIP_VISION_OUTPUT",), + "back": ("CLIP_VISION_OUTPUT",), + "right": ("CLIP_VISION_OUTPUT",), }} + + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + + FUNCTION = "encode" + + CATEGORY = "conditioning/video_models" + + def encode(self, front=None, left=None, back=None, right=None): + all_embeds = [front, left, back, right] + out = [] + pos_embeds = None + for i, e in enumerate(all_embeds): + if e is not None: + if pos_embeds is None: + pos_embeds = get_1d_sincos_pos_embed_from_grid_torch(e.last_hidden_state.shape[-1], torch.arange(4)) + out.append(e.last_hidden_state + pos_embeds[i].reshape(1, 1, -1)) + + embeds = torch.cat(out, dim=1) + positive = [[embeds, {}]] + negative = [[torch.zeros_like(embeds), {}]] + return (positive, negative) + + +class VOXEL: + def __init__(self, data): + self.data = data + +class VAEDecodeHunyuan3D: + @classmethod + def INPUT_TYPES(s): + return {"required": {"samples": ("LATENT", ), + "vae": ("VAE", ), + "num_chunks": ("INT", {"default": 8000, "min": 1000, "max": 500000}), + "octree_resolution": ("INT", {"default": 256, "min": 16, "max": 512}), + }} + RETURN_TYPES = ("VOXEL",) + FUNCTION = "decode" + + CATEGORY = "latent/3d" + + def decode(self, vae, samples, num_chunks, octree_resolution): + voxels = VOXEL(vae.decode(samples["samples"], vae_options={"num_chunks": num_chunks, "octree_resolution": octree_resolution})) + return (voxels, ) + +def voxel_to_mesh(voxels, threshold=0.5, device=None): + if device is None: + device = torch.device("cpu") + voxels = voxels.to(device) + + binary = (voxels > threshold).float() + padded = torch.nn.functional.pad(binary, (1, 1, 1, 1, 1, 1), 'constant', 0) + + D, H, W = binary.shape + + neighbors = torch.tensor([ + [0, 0, 1], + [0, 0, -1], + [0, 1, 0], + [0, -1, 0], + [1, 0, 0], + [-1, 0, 0] + ], device=device) + + z, y, x = torch.meshgrid( + torch.arange(D, device=device), + torch.arange(H, device=device), + torch.arange(W, device=device), + indexing='ij' + ) + voxel_indices = torch.stack([z.flatten(), y.flatten(), x.flatten()], dim=1) + + solid_mask = binary.flatten() > 0 + solid_indices = voxel_indices[solid_mask] + + corner_offsets = [ + torch.tensor([ + [0, 0, 1], [0, 1, 1], [1, 1, 1], [1, 0, 1] + ], device=device), + torch.tensor([ + [0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0] + ], device=device), + torch.tensor([ + [0, 1, 0], [1, 1, 0], [1, 1, 1], [0, 1, 1] + ], device=device), + torch.tensor([ + [0, 0, 0], [0, 0, 1], [1, 0, 1], [1, 0, 0] + ], device=device), + torch.tensor([ + [1, 0, 1], [1, 1, 1], [1, 1, 0], [1, 0, 0] + ], device=device), + torch.tensor([ + [0, 1, 0], [0, 1, 1], [0, 0, 1], [0, 0, 0] + ], device=device) + ] + + all_vertices = [] + all_indices = [] + + vertex_count = 0 + + for face_idx, offset in enumerate(neighbors): + neighbor_indices = solid_indices + offset + + padded_indices = neighbor_indices + 1 + + is_exposed = padded[ + padded_indices[:, 0], + padded_indices[:, 1], + padded_indices[:, 2] + ] == 0 + + if not is_exposed.any(): + continue + + exposed_indices = solid_indices[is_exposed] + + corners = corner_offsets[face_idx].unsqueeze(0) + + face_vertices = exposed_indices.unsqueeze(1) + corners + + all_vertices.append(face_vertices.reshape(-1, 3)) + + num_faces = exposed_indices.shape[0] + face_indices = torch.arange( + vertex_count, + vertex_count + 4 * num_faces, + device=device + ).reshape(-1, 4) + + all_indices.append(torch.stack([face_indices[:, 0], face_indices[:, 1], face_indices[:, 2]], dim=1)) + all_indices.append(torch.stack([face_indices[:, 0], face_indices[:, 2], face_indices[:, 3]], dim=1)) + + vertex_count += 4 * num_faces + + if len(all_vertices) > 0: + vertices = torch.cat(all_vertices, dim=0) + faces = torch.cat(all_indices, dim=0) + else: + vertices = torch.zeros((1, 3)) + faces = torch.zeros((1, 3)) + + v_min = 0 + v_max = max(voxels.shape) + + vertices = vertices - (v_min + v_max) / 2 + + scale = (v_max - v_min) / 2 + if scale > 0: + vertices = vertices / scale + + vertices = torch.fliplr(vertices) + return vertices, faces + +def voxel_to_mesh_surfnet(voxels, threshold=0.5, device=None): + if device is None: + device = torch.device("cpu") + voxels = voxels.to(device) + + D, H, W = voxels.shape + + padded = torch.nn.functional.pad(voxels, (1, 1, 1, 1, 1, 1), 'constant', 0) + z, y, x = torch.meshgrid( + torch.arange(D, device=device), + torch.arange(H, device=device), + torch.arange(W, device=device), + indexing='ij' + ) + cell_positions = torch.stack([z.flatten(), y.flatten(), x.flatten()], dim=1) + + corner_offsets = torch.tensor([ + [0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0], + [0, 0, 1], [1, 0, 1], [0, 1, 1], [1, 1, 1] + ], device=device) + + pos = cell_positions.unsqueeze(1) + corner_offsets.unsqueeze(0) + z_idx, y_idx, x_idx = pos.unbind(-1) + corner_values = padded[z_idx, y_idx, x_idx] + + corner_signs = corner_values > threshold + has_inside = torch.any(corner_signs, dim=1) + has_outside = torch.any(~corner_signs, dim=1) + contains_surface = has_inside & has_outside + + active_cells = cell_positions[contains_surface] + active_signs = corner_signs[contains_surface] + active_values = corner_values[contains_surface] + + if active_cells.shape[0] == 0: + return torch.zeros((0, 3), device=device), torch.zeros((0, 3), dtype=torch.long, device=device) + + edges = torch.tensor([ + [0, 1], [0, 2], [0, 4], [1, 3], + [1, 5], [2, 3], [2, 6], [3, 7], + [4, 5], [4, 6], [5, 7], [6, 7] + ], device=device) + + cell_vertices = {} + progress = comfy.utils.ProgressBar(100) + + for edge_idx, (e1, e2) in enumerate(edges): + progress.update(1) + crossing = active_signs[:, e1] != active_signs[:, e2] + if not crossing.any(): + continue + + cell_indices = torch.nonzero(crossing, as_tuple=True)[0] + + v1 = active_values[cell_indices, e1] + v2 = active_values[cell_indices, e2] + + t = torch.zeros_like(v1, device=device) + denom = v2 - v1 + valid = denom != 0 + t[valid] = (threshold - v1[valid]) / denom[valid] + t[~valid] = 0.5 + + p1 = corner_offsets[e1].float() + p2 = corner_offsets[e2].float() + + intersection = p1.unsqueeze(0) + t.unsqueeze(1) * (p2.unsqueeze(0) - p1.unsqueeze(0)) + + for i, point in zip(cell_indices.tolist(), intersection): + if i not in cell_vertices: + cell_vertices[i] = [] + cell_vertices[i].append(point) + + # Calculate the final vertices as the average of intersection points for each cell + vertices = [] + vertex_lookup = {} + + vert_progress_mod = round(len(cell_vertices)/50) + + for i, points in cell_vertices.items(): + if not i % vert_progress_mod: + progress.update(1) + + if points: + vertex = torch.stack(points).mean(dim=0) + vertex = vertex + active_cells[i].float() + vertex_lookup[tuple(active_cells[i].tolist())] = len(vertices) + vertices.append(vertex) + + if not vertices: + return torch.zeros((0, 3), device=device), torch.zeros((0, 3), dtype=torch.long, device=device) + + final_vertices = torch.stack(vertices) + + inside_corners_mask = active_signs + outside_corners_mask = ~active_signs + + inside_counts = inside_corners_mask.sum(dim=1, keepdim=True).float() + outside_counts = outside_corners_mask.sum(dim=1, keepdim=True).float() + + inside_pos = torch.zeros((active_cells.shape[0], 3), device=device) + outside_pos = torch.zeros((active_cells.shape[0], 3), device=device) + + for i in range(8): + mask_inside = inside_corners_mask[:, i].unsqueeze(1) + mask_outside = outside_corners_mask[:, i].unsqueeze(1) + inside_pos += corner_offsets[i].float().unsqueeze(0) * mask_inside + outside_pos += corner_offsets[i].float().unsqueeze(0) * mask_outside + + inside_pos /= inside_counts + outside_pos /= outside_counts + gradients = inside_pos - outside_pos + + pos_dirs = torch.tensor([ + [1, 0, 0], + [0, 1, 0], + [0, 0, 1] + ], device=device) + + cross_products = [ + torch.linalg.cross(pos_dirs[i].float(), pos_dirs[j].float()) + for i in range(3) for j in range(i+1, 3) + ] + + faces = [] + all_keys = set(vertex_lookup.keys()) + + face_progress_mod = round(len(active_cells)/38*3) + + for pair_idx, (i, j) in enumerate([(0,1), (0,2), (1,2)]): + dir_i = pos_dirs[i] + dir_j = pos_dirs[j] + cross_product = cross_products[pair_idx] + + ni_positions = active_cells + dir_i + nj_positions = active_cells + dir_j + diag_positions = active_cells + dir_i + dir_j + + alignments = torch.matmul(gradients, cross_product) + + valid_quads = [] + quad_indices = [] + + for idx, active_cell in enumerate(active_cells): + if not idx % face_progress_mod: + progress.update(1) + cell_key = tuple(active_cell.tolist()) + ni_key = tuple(ni_positions[idx].tolist()) + nj_key = tuple(nj_positions[idx].tolist()) + diag_key = tuple(diag_positions[idx].tolist()) + + if cell_key in all_keys and ni_key in all_keys and nj_key in all_keys and diag_key in all_keys: + v0 = vertex_lookup[cell_key] + v1 = vertex_lookup[ni_key] + v2 = vertex_lookup[nj_key] + v3 = vertex_lookup[diag_key] + + valid_quads.append((v0, v1, v2, v3)) + quad_indices.append(idx) + + for q_idx, (v0, v1, v2, v3) in enumerate(valid_quads): + cell_idx = quad_indices[q_idx] + if alignments[cell_idx] > 0: + faces.append(torch.tensor([v0, v1, v3], device=device, dtype=torch.long)) + faces.append(torch.tensor([v0, v3, v2], device=device, dtype=torch.long)) + else: + faces.append(torch.tensor([v0, v3, v1], device=device, dtype=torch.long)) + faces.append(torch.tensor([v0, v2, v3], device=device, dtype=torch.long)) + + if faces: + faces = torch.stack(faces) + else: + faces = torch.zeros((0, 3), dtype=torch.long, device=device) + + v_min = 0 + v_max = max(D, H, W) + + final_vertices = final_vertices - (v_min + v_max) / 2 + + scale = (v_max - v_min) / 2 + if scale > 0: + final_vertices = final_vertices / scale + + final_vertices = torch.fliplr(final_vertices) + + return final_vertices, faces + +class MESH: + def __init__(self, vertices, faces): + self.vertices = vertices + self.faces = faces + + +class VoxelToMeshBasic: + @classmethod + def INPUT_TYPES(s): + return {"required": {"voxel": ("VOXEL", ), + "threshold": ("FLOAT", {"default": 0.6, "min": -1.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("MESH",) + FUNCTION = "decode" + + CATEGORY = "3d" + + def decode(self, voxel, threshold): + vertices = [] + faces = [] + for x in voxel.data: + v, f = voxel_to_mesh(x, threshold=threshold, device=None) + vertices.append(v) + faces.append(f) + + return (MESH(torch.stack(vertices), torch.stack(faces)), ) + +class VoxelToMesh: + @classmethod + def INPUT_TYPES(s): + return {"required": {"voxel": ("VOXEL", ), + "algorithm": (["surface net", "basic"], ), + "threshold": ("FLOAT", {"default": 0.6, "min": -1.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("MESH",) + FUNCTION = "decode" + + CATEGORY = "3d" + + def decode(self, voxel, algorithm, threshold): + vertices = [] + faces = [] + + if algorithm == "basic": + mesh_function = voxel_to_mesh + elif algorithm == "surface net": + mesh_function = voxel_to_mesh_surfnet + + for x in voxel.data: + v, f = mesh_function(x, threshold=threshold, device=None) + vertices.append(v) + faces.append(f) + + return (MESH(torch.stack(vertices), torch.stack(faces)), ) + + +def save_glb(vertices, faces, filepath, metadata=None): + """ + Save PyTorch tensor vertices and faces as a GLB file without external dependencies. + + Parameters: + vertices: torch.Tensor of shape (N, 3) - The vertex coordinates + faces: torch.Tensor of shape (M, 3) - The face indices (triangle faces) + filepath: str - Output filepath (should end with .glb) + """ + + # Convert tensors to numpy arrays + vertices_np = vertices.cpu().numpy().astype(np.float32) + faces_np = faces.cpu().numpy().astype(np.uint32) + + vertices_buffer = vertices_np.tobytes() + indices_buffer = faces_np.tobytes() + + def pad_to_4_bytes(buffer): + padding_length = (4 - (len(buffer) % 4)) % 4 + return buffer + b'\x00' * padding_length + + vertices_buffer_padded = pad_to_4_bytes(vertices_buffer) + indices_buffer_padded = pad_to_4_bytes(indices_buffer) + + buffer_data = vertices_buffer_padded + indices_buffer_padded + + vertices_byte_length = len(vertices_buffer) + vertices_byte_offset = 0 + indices_byte_length = len(indices_buffer) + indices_byte_offset = len(vertices_buffer_padded) + + gltf = { + "asset": {"version": "2.0", "generator": "ComfyUI"}, + "buffers": [ + { + "byteLength": len(buffer_data) + } + ], + "bufferViews": [ + { + "buffer": 0, + "byteOffset": vertices_byte_offset, + "byteLength": vertices_byte_length, + "target": 34962 # ARRAY_BUFFER + }, + { + "buffer": 0, + "byteOffset": indices_byte_offset, + "byteLength": indices_byte_length, + "target": 34963 # ELEMENT_ARRAY_BUFFER + } + ], + "accessors": [ + { + "bufferView": 0, + "byteOffset": 0, + "componentType": 5126, # FLOAT + "count": len(vertices_np), + "type": "VEC3", + "max": vertices_np.max(axis=0).tolist(), + "min": vertices_np.min(axis=0).tolist() + }, + { + "bufferView": 1, + "byteOffset": 0, + "componentType": 5125, # UNSIGNED_INT + "count": faces_np.size, + "type": "SCALAR" + } + ], + "meshes": [ + { + "primitives": [ + { + "attributes": { + "POSITION": 0 + }, + "indices": 1, + "mode": 4 # TRIANGLES + } + ] + } + ], + "nodes": [ + { + "mesh": 0 + } + ], + "scenes": [ + { + "nodes": [0] + } + ], + "scene": 0 + } + + if metadata is not None: + gltf["asset"]["extras"] = metadata + + # Convert the JSON to bytes + gltf_json = json.dumps(gltf).encode('utf8') + + def pad_json_to_4_bytes(buffer): + padding_length = (4 - (len(buffer) % 4)) % 4 + return buffer + b' ' * padding_length + + gltf_json_padded = pad_json_to_4_bytes(gltf_json) + + # Create the GLB header + # Magic glTF + glb_header = struct.pack('<4sII', b'glTF', 2, 12 + 8 + len(gltf_json_padded) + 8 + len(buffer_data)) + + # Create JSON chunk header (chunk type 0) + json_chunk_header = struct.pack(' int: + min_value = min(min_value, value) + + # All big divisors of value (inclusive) + divisors = [i for i in range(min_value, value + 1) if value % i == 0] + + ns = [value // i for i in divisors[:max_options]] # has at least 1 element + + if len(ns) - 1 > 0: + idx = randint(low=0, high=len(ns) - 1, size=(1,)).item() + else: + idx = 0 + + return ns[idx] + +class HyperTile: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "tile_size": ("INT", {"default": 256, "min": 1, "max": 2048}), + "swap_size": ("INT", {"default": 2, "min": 1, "max": 128}), + "max_depth": ("INT", {"default": 0, "min": 0, "max": 10}), + "scale_depth": ("BOOLEAN", {"default": False}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "model_patches/unet" + + def patch(self, model, tile_size, swap_size, max_depth, scale_depth): + latent_tile_size = max(32, tile_size) // 8 + self.temp = None + + def hypertile_in(q, k, v, extra_options): + model_chans = q.shape[-2] + orig_shape = extra_options['original_shape'] + apply_to = [] + for i in range(max_depth + 1): + apply_to.append((orig_shape[-2] / (2 ** i)) * (orig_shape[-1] / (2 ** i))) + + if model_chans in apply_to: + shape = extra_options["original_shape"] + aspect_ratio = shape[-1] / shape[-2] + + hw = q.size(1) + h, w = round(math.sqrt(hw * aspect_ratio)), round(math.sqrt(hw / aspect_ratio)) + + factor = (2 ** apply_to.index(model_chans)) if scale_depth else 1 + nh = random_divisor(h, latent_tile_size * factor, swap_size) + nw = random_divisor(w, latent_tile_size * factor, swap_size) + + if nh * nw > 1: + q = rearrange(q, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw) + self.temp = (nh, nw, h, w) + return q, k, v + + return q, k, v + def hypertile_out(out, extra_options): + if self.temp is not None: + nh, nw, h, w = self.temp + self.temp = None + out = rearrange(out, "(b nh nw) hw c -> b nh nw hw c", nh=nh, nw=nw) + out = rearrange(out, "b nh nw (h w) c -> b (nh h nw w) c", h=h // nh, w=w // nw) + return out + + + m = model.clone() + m.set_model_attn1_patch(hypertile_in) + m.set_model_attn1_output_patch(hypertile_out) + return (m, ) + +NODE_CLASS_MAPPINGS = { + "HyperTile": HyperTile, +} diff --git a/comfy_extras/nodes_images.py b/comfy_extras/nodes_images.py new file mode 100644 index 0000000000000000000000000000000000000000..392aea32c268a4d1abb38b9b8825323467f1cb75 --- /dev/null +++ b/comfy_extras/nodes_images.py @@ -0,0 +1,674 @@ +from __future__ import annotations + +import nodes +import folder_paths +from comfy.cli_args import args + +from PIL import Image +from PIL.PngImagePlugin import PngInfo + +import numpy as np +import json +import os +import re +from io import BytesIO +from inspect import cleandoc +import torch +import comfy.utils + +from comfy.comfy_types import FileLocator, IO +from server import PromptServer + +MAX_RESOLUTION = nodes.MAX_RESOLUTION + +class ImageCrop: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), + "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "crop" + + CATEGORY = "image/transform" + + def crop(self, image, width, height, x, y): + x = min(x, image.shape[2] - 1) + y = min(y, image.shape[1] - 1) + to_x = width + x + to_y = height + y + img = image[:,y:to_y, x:to_x, :] + return (img,) + +class RepeatImageBatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), + "amount": ("INT", {"default": 1, "min": 1, "max": 4096}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "repeat" + + CATEGORY = "image/batch" + + def repeat(self, image, amount): + s = image.repeat((amount, 1,1,1)) + return (s,) + +class ImageFromBatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), + "batch_index": ("INT", {"default": 0, "min": 0, "max": 4095}), + "length": ("INT", {"default": 1, "min": 1, "max": 4096}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "frombatch" + + CATEGORY = "image/batch" + + def frombatch(self, image, batch_index, length): + s_in = image + batch_index = min(s_in.shape[0] - 1, batch_index) + length = min(s_in.shape[0] - batch_index, length) + s = s_in[batch_index:batch_index + length].clone() + return (s,) + + +class ImageAddNoise: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "The random seed used for creating the noise."}), + "strength": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "repeat" + + CATEGORY = "image" + + def repeat(self, image, seed, strength): + generator = torch.manual_seed(seed) + s = torch.clip((image + strength * torch.randn(image.size(), generator=generator, device="cpu").to(image)), min=0.0, max=1.0) + return (s,) + +class SaveAnimatedWEBP: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + + methods = {"default": 4, "fastest": 0, "slowest": 6} + @classmethod + def INPUT_TYPES(s): + return {"required": + {"images": ("IMAGE", ), + "filename_prefix": ("STRING", {"default": "ComfyUI"}), + "fps": ("FLOAT", {"default": 6.0, "min": 0.01, "max": 1000.0, "step": 0.01}), + "lossless": ("BOOLEAN", {"default": True}), + "quality": ("INT", {"default": 80, "min": 0, "max": 100}), + "method": (list(s.methods.keys()),), + # "num_frames": ("INT", {"default": 0, "min": 0, "max": 8192}), + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + RETURN_TYPES = () + FUNCTION = "save_images" + + OUTPUT_NODE = True + + CATEGORY = "image/animation" + + def save_images(self, images, fps, filename_prefix, lossless, quality, method, num_frames=0, prompt=None, extra_pnginfo=None): + method = self.methods.get(method) + filename_prefix += self.prefix_append + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]) + results: list[FileLocator] = [] + pil_images = [] + for image in images: + i = 255. * image.cpu().numpy() + img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)) + pil_images.append(img) + + metadata = pil_images[0].getexif() + if not args.disable_metadata: + if prompt is not None: + metadata[0x0110] = "prompt:{}".format(json.dumps(prompt)) + if extra_pnginfo is not None: + inital_exif = 0x010f + for x in extra_pnginfo: + metadata[inital_exif] = "{}:{}".format(x, json.dumps(extra_pnginfo[x])) + inital_exif -= 1 + + if num_frames == 0: + num_frames = len(pil_images) + + c = len(pil_images) + for i in range(0, c, num_frames): + file = f"{filename}_{counter:05}_.webp" + pil_images[i].save(os.path.join(full_output_folder, file), save_all=True, duration=int(1000.0/fps), append_images=pil_images[i + 1:i + num_frames], exif=metadata, lossless=lossless, quality=quality, method=method) + results.append({ + "filename": file, + "subfolder": subfolder, + "type": self.type + }) + counter += 1 + + animated = num_frames != 1 + return { "ui": { "images": results, "animated": (animated,) } } + +class SaveAnimatedPNG: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + + @classmethod + def INPUT_TYPES(s): + return {"required": + {"images": ("IMAGE", ), + "filename_prefix": ("STRING", {"default": "ComfyUI"}), + "fps": ("FLOAT", {"default": 6.0, "min": 0.01, "max": 1000.0, "step": 0.01}), + "compress_level": ("INT", {"default": 4, "min": 0, "max": 9}) + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + RETURN_TYPES = () + FUNCTION = "save_images" + + OUTPUT_NODE = True + + CATEGORY = "image/animation" + + def save_images(self, images, fps, compress_level, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None): + filename_prefix += self.prefix_append + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]) + results = list() + pil_images = [] + for image in images: + i = 255. * image.cpu().numpy() + img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)) + pil_images.append(img) + + metadata = None + if not args.disable_metadata: + metadata = PngInfo() + if prompt is not None: + metadata.add(b"comf", "prompt".encode("latin-1", "strict") + b"\0" + json.dumps(prompt).encode("latin-1", "strict"), after_idat=True) + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata.add(b"comf", x.encode("latin-1", "strict") + b"\0" + json.dumps(extra_pnginfo[x]).encode("latin-1", "strict"), after_idat=True) + + file = f"{filename}_{counter:05}_.png" + pil_images[0].save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=compress_level, save_all=True, duration=int(1000.0/fps), append_images=pil_images[1:]) + results.append({ + "filename": file, + "subfolder": subfolder, + "type": self.type + }) + + return { "ui": { "images": results, "animated": (True,)} } + +class SVG: + """ + Stores SVG representations via a list of BytesIO objects. + """ + def __init__(self, data: list[BytesIO]): + self.data = data + + def combine(self, other: 'SVG') -> 'SVG': + return SVG(self.data + other.data) + + @staticmethod + def combine_all(svgs: list['SVG']) -> 'SVG': + all_svgs_list: list[BytesIO] = [] + for svg_item in svgs: + all_svgs_list.extend(svg_item.data) + return SVG(all_svgs_list) + + +class ImageStitch: + """Upstreamed from https://github.com/kijai/ComfyUI-KJNodes""" + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image1": ("IMAGE",), + "direction": (["right", "down", "left", "up"], {"default": "right"}), + "match_image_size": ("BOOLEAN", {"default": True}), + "spacing_width": ( + "INT", + {"default": 0, "min": 0, "max": 1024, "step": 2}, + ), + "spacing_color": ( + ["white", "black", "red", "green", "blue"], + {"default": "white"}, + ), + }, + "optional": { + "image2": ("IMAGE",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "stitch" + CATEGORY = "image/transform" + DESCRIPTION = """ +Stitches image2 to image1 in the specified direction. +If image2 is not provided, returns image1 unchanged. +Optional spacing can be added between images. +""" + + def stitch( + self, + image1, + direction, + match_image_size, + spacing_width, + spacing_color, + image2=None, + ): + if image2 is None: + return (image1,) + + # Handle batch size differences + if image1.shape[0] != image2.shape[0]: + max_batch = max(image1.shape[0], image2.shape[0]) + if image1.shape[0] < max_batch: + image1 = torch.cat( + [image1, image1[-1:].repeat(max_batch - image1.shape[0], 1, 1, 1)] + ) + if image2.shape[0] < max_batch: + image2 = torch.cat( + [image2, image2[-1:].repeat(max_batch - image2.shape[0], 1, 1, 1)] + ) + + # Match image sizes if requested + if match_image_size: + h1, w1 = image1.shape[1:3] + h2, w2 = image2.shape[1:3] + aspect_ratio = w2 / h2 + + if direction in ["left", "right"]: + target_h, target_w = h1, int(h1 * aspect_ratio) + else: # up, down + target_w, target_h = w1, int(w1 / aspect_ratio) + + image2 = comfy.utils.common_upscale( + image2.movedim(-1, 1), target_w, target_h, "lanczos", "disabled" + ).movedim(1, -1) + + color_map = { + "white": 1.0, + "black": 0.0, + "red": (1.0, 0.0, 0.0), + "green": (0.0, 1.0, 0.0), + "blue": (0.0, 0.0, 1.0), + } + + color_val = color_map[spacing_color] + + # When not matching sizes, pad to align non-concat dimensions + if not match_image_size: + h1, w1 = image1.shape[1:3] + h2, w2 = image2.shape[1:3] + pad_value = 0.0 + if not isinstance(color_val, tuple): + pad_value = color_val + + if direction in ["left", "right"]: + # For horizontal concat, pad heights to match + if h1 != h2: + target_h = max(h1, h2) + if h1 < target_h: + pad_h = target_h - h1 + pad_top, pad_bottom = pad_h // 2, pad_h - pad_h // 2 + image1 = torch.nn.functional.pad(image1, (0, 0, 0, 0, pad_top, pad_bottom), mode='constant', value=pad_value) + if h2 < target_h: + pad_h = target_h - h2 + pad_top, pad_bottom = pad_h // 2, pad_h - pad_h // 2 + image2 = torch.nn.functional.pad(image2, (0, 0, 0, 0, pad_top, pad_bottom), mode='constant', value=pad_value) + else: # up, down + # For vertical concat, pad widths to match + if w1 != w2: + target_w = max(w1, w2) + if w1 < target_w: + pad_w = target_w - w1 + pad_left, pad_right = pad_w // 2, pad_w - pad_w // 2 + image1 = torch.nn.functional.pad(image1, (0, 0, pad_left, pad_right), mode='constant', value=pad_value) + if w2 < target_w: + pad_w = target_w - w2 + pad_left, pad_right = pad_w // 2, pad_w - pad_w // 2 + image2 = torch.nn.functional.pad(image2, (0, 0, pad_left, pad_right), mode='constant', value=pad_value) + + # Ensure same number of channels + if image1.shape[-1] != image2.shape[-1]: + max_channels = max(image1.shape[-1], image2.shape[-1]) + if image1.shape[-1] < max_channels: + image1 = torch.cat( + [ + image1, + torch.ones( + *image1.shape[:-1], + max_channels - image1.shape[-1], + device=image1.device, + ), + ], + dim=-1, + ) + if image2.shape[-1] < max_channels: + image2 = torch.cat( + [ + image2, + torch.ones( + *image2.shape[:-1], + max_channels - image2.shape[-1], + device=image2.device, + ), + ], + dim=-1, + ) + + # Add spacing if specified + if spacing_width > 0: + spacing_width = spacing_width + (spacing_width % 2) # Ensure even + + if direction in ["left", "right"]: + spacing_shape = ( + image1.shape[0], + max(image1.shape[1], image2.shape[1]), + spacing_width, + image1.shape[-1], + ) + else: + spacing_shape = ( + image1.shape[0], + spacing_width, + max(image1.shape[2], image2.shape[2]), + image1.shape[-1], + ) + + spacing = torch.full(spacing_shape, 0.0, device=image1.device) + if isinstance(color_val, tuple): + for i, c in enumerate(color_val): + if i < spacing.shape[-1]: + spacing[..., i] = c + if spacing.shape[-1] == 4: # Add alpha + spacing[..., 3] = 1.0 + else: + spacing[..., : min(3, spacing.shape[-1])] = color_val + if spacing.shape[-1] == 4: + spacing[..., 3] = 1.0 + + # Concatenate images + images = [image2, image1] if direction in ["left", "up"] else [image1, image2] + if spacing_width > 0: + images.insert(1, spacing) + + concat_dim = 2 if direction in ["left", "right"] else 1 + return (torch.cat(images, dim=concat_dim),) + +class ResizeAndPadImage: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "target_width": ("INT", { + "default": 512, + "min": 1, + "max": MAX_RESOLUTION, + "step": 1 + }), + "target_height": ("INT", { + "default": 512, + "min": 1, + "max": MAX_RESOLUTION, + "step": 1 + }), + "padding_color": (["white", "black"],), + "interpolation": (["area", "bicubic", "nearest-exact", "bilinear", "lanczos"],), + } + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "resize_and_pad" + CATEGORY = "image/transform" + + def resize_and_pad(self, image, target_width, target_height, padding_color, interpolation): + batch_size, orig_height, orig_width, channels = image.shape + + scale_w = target_width / orig_width + scale_h = target_height / orig_height + scale = min(scale_w, scale_h) + + new_width = int(orig_width * scale) + new_height = int(orig_height * scale) + + image_permuted = image.permute(0, 3, 1, 2) + + resized = comfy.utils.common_upscale(image_permuted, new_width, new_height, interpolation, "disabled") + + pad_value = 0.0 if padding_color == "black" else 1.0 + padded = torch.full( + (batch_size, channels, target_height, target_width), + pad_value, + dtype=image.dtype, + device=image.device + ) + + y_offset = (target_height - new_height) // 2 + x_offset = (target_width - new_width) // 2 + + padded[:, :, y_offset:y_offset + new_height, x_offset:x_offset + new_width] = resized + + output = padded.permute(0, 2, 3, 1) + return (output,) + +class SaveSVGNode: + """ + Save SVG files on disk. + """ + + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + + RETURN_TYPES = () + DESCRIPTION = cleandoc(__doc__ or "") # Handle potential None value + FUNCTION = "save_svg" + CATEGORY = "image/save" # Changed + OUTPUT_NODE = True + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "svg": ("SVG",), # Changed + "filename_prefix": ("STRING", {"default": "svg/ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."}) + }, + "hidden": { + "prompt": "PROMPT", + "extra_pnginfo": "EXTRA_PNGINFO" + } + } + + def save_svg(self, svg: SVG, filename_prefix="svg/ComfyUI", prompt=None, extra_pnginfo=None): + filename_prefix += self.prefix_append + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir) + results = list() + + # Prepare metadata JSON + metadata_dict = {} + if prompt is not None: + metadata_dict["prompt"] = prompt + if extra_pnginfo is not None: + metadata_dict.update(extra_pnginfo) + + # Convert metadata to JSON string + metadata_json = json.dumps(metadata_dict, indent=2) if metadata_dict else None + + for batch_number, svg_bytes in enumerate(svg.data): + filename_with_batch_num = filename.replace("%batch_num%", str(batch_number)) + file = f"{filename_with_batch_num}_{counter:05}_.svg" + + # Read SVG content + svg_bytes.seek(0) + svg_content = svg_bytes.read().decode('utf-8') + + # Inject metadata if available + if metadata_json: + # Create metadata element with CDATA section + metadata_element = f""" + + + """ + # Insert metadata after opening svg tag using regex with a replacement function + def replacement(match): + # match.group(1) contains the captured tag + return match.group(1) + '\n' + metadata_element + + # Apply the substitution + svg_content = re.sub(r'(]*>)', replacement, svg_content, flags=re.UNICODE) + + # Write the modified SVG to file + with open(os.path.join(full_output_folder, file), 'wb') as svg_file: + svg_file.write(svg_content.encode('utf-8')) + + results.append({ + "filename": file, + "subfolder": subfolder, + "type": self.type + }) + counter += 1 + return { "ui": { "images": results } } + +class GetImageSize: + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": (IO.IMAGE,), + }, + "hidden": { + "unique_id": "UNIQUE_ID", + } + } + + RETURN_TYPES = (IO.INT, IO.INT, IO.INT) + RETURN_NAMES = ("width", "height", "batch_size") + FUNCTION = "get_size" + + CATEGORY = "image" + DESCRIPTION = """Returns width and height of the image, and passes it through unchanged.""" + + def get_size(self, image, unique_id=None) -> tuple[int, int]: + height = image.shape[1] + width = image.shape[2] + batch_size = image.shape[0] + + # Send progress text to display size on the node + if unique_id: + PromptServer.instance.send_progress_text(f"width: {width}, height: {height}\n batch size: {batch_size}", unique_id) + + return width, height, batch_size + +class ImageRotate: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": (IO.IMAGE,), + "rotation": (["none", "90 degrees", "180 degrees", "270 degrees"],), + }} + RETURN_TYPES = (IO.IMAGE,) + FUNCTION = "rotate" + + CATEGORY = "image/transform" + + def rotate(self, image, rotation): + rotate_by = 0 + if rotation.startswith("90"): + rotate_by = 1 + elif rotation.startswith("180"): + rotate_by = 2 + elif rotation.startswith("270"): + rotate_by = 3 + + image = torch.rot90(image, k=rotate_by, dims=[2, 1]) + return (image,) + +class ImageFlip: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": (IO.IMAGE,), + "flip_method": (["x-axis: vertically", "y-axis: horizontally"],), + }} + RETURN_TYPES = (IO.IMAGE,) + FUNCTION = "flip" + + CATEGORY = "image/transform" + + def flip(self, image, flip_method): + if flip_method.startswith("x"): + image = torch.flip(image, dims=[1]) + elif flip_method.startswith("y"): + image = torch.flip(image, dims=[2]) + + return (image,) + +class ImageScaleToMaxDimension: + upscale_methods = ["area", "lanczos", "bilinear", "nearest-exact", "bilinear", "bicubic"] + + @classmethod + def INPUT_TYPES(s): + return {"required": {"image": ("IMAGE",), + "upscale_method": (s.upscale_methods,), + "largest_size": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1})}} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + + CATEGORY = "image/upscaling" + + def upscale(self, image, upscale_method, largest_size): + height = image.shape[1] + width = image.shape[2] + + if height > width: + width = round((width / height) * largest_size) + height = largest_size + elif width > height: + height = round((height / width) * largest_size) + width = largest_size + else: + height = largest_size + width = largest_size + + samples = image.movedim(-1, 1) + s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled") + s = s.movedim(1, -1) + return (s,) + +NODE_CLASS_MAPPINGS = { + "ImageCrop": ImageCrop, + "RepeatImageBatch": RepeatImageBatch, + "ImageFromBatch": ImageFromBatch, + "ImageAddNoise": ImageAddNoise, + "SaveAnimatedWEBP": SaveAnimatedWEBP, + "SaveAnimatedPNG": SaveAnimatedPNG, + "SaveSVGNode": SaveSVGNode, + "ImageStitch": ImageStitch, + "ResizeAndPadImage": ResizeAndPadImage, + "GetImageSize": GetImageSize, + "ImageRotate": ImageRotate, + "ImageFlip": ImageFlip, + "ImageScaleToMaxDimension": ImageScaleToMaxDimension, +} diff --git a/comfy_extras/nodes_ip2p.py b/comfy_extras/nodes_ip2p.py new file mode 100644 index 0000000000000000000000000000000000000000..c2e70a84c10ca5cc1b3ca853a97adc3c64fbb315 --- /dev/null +++ b/comfy_extras/nodes_ip2p.py @@ -0,0 +1,45 @@ +import torch + +class InstructPixToPixConditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "vae": ("VAE", ), + "pixels": ("IMAGE", ), + }} + + RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + FUNCTION = "encode" + + CATEGORY = "conditioning/instructpix2pix" + + def encode(self, positive, negative, pixels, vae): + x = (pixels.shape[1] // 8) * 8 + y = (pixels.shape[2] // 8) * 8 + + if pixels.shape[1] != x or pixels.shape[2] != y: + x_offset = (pixels.shape[1] % 8) // 2 + y_offset = (pixels.shape[2] % 8) // 2 + pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:] + + concat_latent = vae.encode(pixels) + + out_latent = {} + out_latent["samples"] = torch.zeros_like(concat_latent) + + out = [] + for conditioning in [positive, negative]: + c = [] + for t in conditioning: + d = t[1].copy() + d["concat_latent_image"] = concat_latent + n = [t[0], d] + c.append(n) + out.append(c) + return (out[0], out[1], out_latent) + +NODE_CLASS_MAPPINGS = { + "InstructPixToPixConditioning": InstructPixToPixConditioning, +} diff --git a/comfy_extras/nodes_latent.py b/comfy_extras/nodes_latent.py new file mode 100644 index 0000000000000000000000000000000000000000..0f90cf60c9def2c56ac4613cba5b104873125d1f --- /dev/null +++ b/comfy_extras/nodes_latent.py @@ -0,0 +1,358 @@ +import comfy.utils +import comfy_extras.nodes_post_processing +import torch +import nodes + + +def reshape_latent_to(target_shape, latent, repeat_batch=True): + if latent.shape[1:] != target_shape[1:]: + latent = comfy.utils.common_upscale(latent, target_shape[-1], target_shape[-2], "bilinear", "center") + if repeat_batch: + return comfy.utils.repeat_to_batch_size(latent, target_shape[0]) + else: + return latent + + +class LatentAdd: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",)}} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples1, samples2): + samples_out = samples1.copy() + + s1 = samples1["samples"] + s2 = samples2["samples"] + + s2 = reshape_latent_to(s1.shape, s2) + samples_out["samples"] = s1 + s2 + return (samples_out,) + +class LatentSubtract: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",)}} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples1, samples2): + samples_out = samples1.copy() + + s1 = samples1["samples"] + s2 = samples2["samples"] + + s2 = reshape_latent_to(s1.shape, s2) + samples_out["samples"] = s1 - s2 + return (samples_out,) + +class LatentMultiply: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}), + }} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples, multiplier): + samples_out = samples.copy() + + s1 = samples["samples"] + samples_out["samples"] = s1 * multiplier + return (samples_out,) + +class LatentInterpolate: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples1": ("LATENT",), + "samples2": ("LATENT",), + "ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples1, samples2, ratio): + samples_out = samples1.copy() + + s1 = samples1["samples"] + s2 = samples2["samples"] + + s2 = reshape_latent_to(s1.shape, s2) + + m1 = torch.linalg.vector_norm(s1, dim=(1)) + m2 = torch.linalg.vector_norm(s2, dim=(1)) + + s1 = torch.nan_to_num(s1 / m1) + s2 = torch.nan_to_num(s2 / m2) + + t = (s1 * ratio + s2 * (1.0 - ratio)) + mt = torch.linalg.vector_norm(t, dim=(1)) + st = torch.nan_to_num(t / mt) + + samples_out["samples"] = st * (m1 * ratio + m2 * (1.0 - ratio)) + return (samples_out,) + +class LatentConcat: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",), "dim": (["x", "-x", "y", "-y", "t", "-t"], )}} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples1, samples2, dim): + samples_out = samples1.copy() + + s1 = samples1["samples"] + s2 = samples2["samples"] + s2 = comfy.utils.repeat_to_batch_size(s2, s1.shape[0]) + + if "-" in dim: + c = (s2, s1) + else: + c = (s1, s2) + + if "x" in dim: + dim = -1 + elif "y" in dim: + dim = -2 + elif "t" in dim: + dim = -3 + + samples_out["samples"] = torch.cat(c, dim=dim) + return (samples_out,) + +class LatentCut: + @classmethod + def INPUT_TYPES(s): + return {"required": {"samples": ("LATENT",), + "dim": (["x", "y", "t"], ), + "index": ("INT", {"default": 0, "min": -nodes.MAX_RESOLUTION, "max": nodes.MAX_RESOLUTION, "step": 1}), + "amount": ("INT", {"default": 1, "min": 1, "max": nodes.MAX_RESOLUTION, "step": 1})}} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples, dim, index, amount): + samples_out = samples.copy() + + s1 = samples["samples"] + + if "x" in dim: + dim = s1.ndim - 1 + elif "y" in dim: + dim = s1.ndim - 2 + elif "t" in dim: + dim = s1.ndim - 3 + + if index >= 0: + index = min(index, s1.shape[dim] - 1) + amount = min(s1.shape[dim] - index, amount) + else: + index = max(index, -s1.shape[dim]) + amount = min(-index, amount) + + samples_out["samples"] = torch.narrow(s1, dim, index, amount) + return (samples_out,) + +class LatentBatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples1": ("LATENT",), "samples2": ("LATENT",)}} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "batch" + + CATEGORY = "latent/batch" + + def batch(self, samples1, samples2): + samples_out = samples1.copy() + s1 = samples1["samples"] + s2 = samples2["samples"] + + s2 = reshape_latent_to(s1.shape, s2, repeat_batch=False) + s = torch.cat((s1, s2), dim=0) + samples_out["samples"] = s + samples_out["batch_index"] = samples1.get("batch_index", [x for x in range(0, s1.shape[0])]) + samples2.get("batch_index", [x for x in range(0, s2.shape[0])]) + return (samples_out,) + +class LatentBatchSeedBehavior: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "seed_behavior": (["random", "fixed"],{"default": "fixed"}),}} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced" + + def op(self, samples, seed_behavior): + samples_out = samples.copy() + latent = samples["samples"] + if seed_behavior == "random": + if 'batch_index' in samples_out: + samples_out.pop('batch_index') + elif seed_behavior == "fixed": + batch_number = samples_out.get("batch_index", [0])[0] + samples_out["batch_index"] = [batch_number] * latent.shape[0] + + return (samples_out,) + +class LatentApplyOperation: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "operation": ("LATENT_OPERATION",), + }} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "op" + + CATEGORY = "latent/advanced/operations" + EXPERIMENTAL = True + + def op(self, samples, operation): + samples_out = samples.copy() + + s1 = samples["samples"] + samples_out["samples"] = operation(latent=s1) + return (samples_out,) + +class LatentApplyOperationCFG: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "operation": ("LATENT_OPERATION",), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "latent/advanced/operations" + EXPERIMENTAL = True + + def patch(self, model, operation): + m = model.clone() + + def pre_cfg_function(args): + conds_out = args["conds_out"] + if len(conds_out) == 2: + conds_out[0] = operation(latent=(conds_out[0] - conds_out[1])) + conds_out[1] + else: + conds_out[0] = operation(latent=conds_out[0]) + return conds_out + + m.set_model_sampler_pre_cfg_function(pre_cfg_function) + return (m, ) + +class LatentOperationTonemapReinhard: + @classmethod + def INPUT_TYPES(s): + return {"required": { "multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01}), + }} + + RETURN_TYPES = ("LATENT_OPERATION",) + FUNCTION = "op" + + CATEGORY = "latent/advanced/operations" + EXPERIMENTAL = True + + def op(self, multiplier): + def tonemap_reinhard(latent, **kwargs): + latent_vector_magnitude = (torch.linalg.vector_norm(latent, dim=(1)) + 0.0000000001)[:,None] + normalized_latent = latent / latent_vector_magnitude + + mean = torch.mean(latent_vector_magnitude, dim=(1,2,3), keepdim=True) + std = torch.std(latent_vector_magnitude, dim=(1,2,3), keepdim=True) + + top = (std * 5 + mean) * multiplier + + #reinhard + latent_vector_magnitude *= (1.0 / top) + new_magnitude = latent_vector_magnitude / (latent_vector_magnitude + 1.0) + new_magnitude *= top + + return normalized_latent * new_magnitude + return (tonemap_reinhard,) + +class LatentOperationSharpen: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "sharpen_radius": ("INT", { + "default": 9, + "min": 1, + "max": 31, + "step": 1 + }), + "sigma": ("FLOAT", { + "default": 1.0, + "min": 0.1, + "max": 10.0, + "step": 0.1 + }), + "alpha": ("FLOAT", { + "default": 0.1, + "min": 0.0, + "max": 5.0, + "step": 0.01 + }), + }} + + RETURN_TYPES = ("LATENT_OPERATION",) + FUNCTION = "op" + + CATEGORY = "latent/advanced/operations" + EXPERIMENTAL = True + + def op(self, sharpen_radius, sigma, alpha): + def sharpen(latent, **kwargs): + luminance = (torch.linalg.vector_norm(latent, dim=(1)) + 1e-6)[:,None] + normalized_latent = latent / luminance + channels = latent.shape[1] + + kernel_size = sharpen_radius * 2 + 1 + kernel = comfy_extras.nodes_post_processing.gaussian_kernel(kernel_size, sigma, device=luminance.device) + center = kernel_size // 2 + + kernel *= alpha * -10 + kernel[center, center] = kernel[center, center] - kernel.sum() + 1.0 + + padded_image = torch.nn.functional.pad(normalized_latent, (sharpen_radius,sharpen_radius,sharpen_radius,sharpen_radius), 'reflect') + sharpened = torch.nn.functional.conv2d(padded_image, kernel.repeat(channels, 1, 1).unsqueeze(1), padding=kernel_size // 2, groups=channels)[:,:,sharpen_radius:-sharpen_radius, sharpen_radius:-sharpen_radius] + + return luminance * sharpened + return (sharpen,) + +NODE_CLASS_MAPPINGS = { + "LatentAdd": LatentAdd, + "LatentSubtract": LatentSubtract, + "LatentMultiply": LatentMultiply, + "LatentInterpolate": LatentInterpolate, + "LatentConcat": LatentConcat, + "LatentCut": LatentCut, + "LatentBatch": LatentBatch, + "LatentBatchSeedBehavior": LatentBatchSeedBehavior, + "LatentApplyOperation": LatentApplyOperation, + "LatentApplyOperationCFG": LatentApplyOperationCFG, + "LatentOperationTonemapReinhard": LatentOperationTonemapReinhard, + "LatentOperationSharpen": LatentOperationSharpen, +} diff --git a/comfy_extras/nodes_load_3d.py b/comfy_extras/nodes_load_3d.py new file mode 100644 index 0000000000000000000000000000000000000000..899608149aba1861b9627f22d517dc0feb41d9cc --- /dev/null +++ b/comfy_extras/nodes_load_3d.py @@ -0,0 +1,182 @@ +import nodes +import folder_paths +import os + +from comfy.comfy_types import IO +from comfy_api.input_impl import VideoFromFile + +from pathlib import Path + + +def normalize_path(path): + return path.replace('\\', '/') + +class Load3D(): + @classmethod + def INPUT_TYPES(s): + input_dir = os.path.join(folder_paths.get_input_directory(), "3d") + + os.makedirs(input_dir, exist_ok=True) + + input_path = Path(input_dir) + base_path = Path(folder_paths.get_input_directory()) + + files = [ + normalize_path(str(file_path.relative_to(base_path))) + for file_path in input_path.rglob("*") + if file_path.suffix.lower() in {'.gltf', '.glb', '.obj', '.fbx', '.stl'} + ] + + return {"required": { + "model_file": (sorted(files), {"file_upload": True}), + "image": ("LOAD_3D", {}), + "width": ("INT", {"default": 1024, "min": 1, "max": 4096, "step": 1}), + "height": ("INT", {"default": 1024, "min": 1, "max": 4096, "step": 1}), + }} + + RETURN_TYPES = ("IMAGE", "MASK", "STRING", "IMAGE", "IMAGE", "LOAD3D_CAMERA", IO.VIDEO) + RETURN_NAMES = ("image", "mask", "mesh_path", "normal", "lineart", "camera_info", "recording_video") + + FUNCTION = "process" + EXPERIMENTAL = True + + CATEGORY = "3d" + + def process(self, model_file, image, **kwargs): + image_path = folder_paths.get_annotated_filepath(image['image']) + mask_path = folder_paths.get_annotated_filepath(image['mask']) + normal_path = folder_paths.get_annotated_filepath(image['normal']) + lineart_path = folder_paths.get_annotated_filepath(image['lineart']) + + load_image_node = nodes.LoadImage() + output_image, ignore_mask = load_image_node.load_image(image=image_path) + ignore_image, output_mask = load_image_node.load_image(image=mask_path) + normal_image, ignore_mask2 = load_image_node.load_image(image=normal_path) + lineart_image, ignore_mask3 = load_image_node.load_image(image=lineart_path) + + video = None + + if image['recording'] != "": + recording_video_path = folder_paths.get_annotated_filepath(image['recording']) + + video = VideoFromFile(recording_video_path) + + return output_image, output_mask, model_file, normal_image, lineart_image, image['camera_info'], video + +class Load3DAnimation(): + @classmethod + def INPUT_TYPES(s): + input_dir = os.path.join(folder_paths.get_input_directory(), "3d") + + os.makedirs(input_dir, exist_ok=True) + + input_path = Path(input_dir) + base_path = Path(folder_paths.get_input_directory()) + + files = [ + normalize_path(str(file_path.relative_to(base_path))) + for file_path in input_path.rglob("*") + if file_path.suffix.lower() in {'.gltf', '.glb', '.fbx'} + ] + + return {"required": { + "model_file": (sorted(files), {"file_upload": True}), + "image": ("LOAD_3D_ANIMATION", {}), + "width": ("INT", {"default": 1024, "min": 1, "max": 4096, "step": 1}), + "height": ("INT", {"default": 1024, "min": 1, "max": 4096, "step": 1}), + }} + + RETURN_TYPES = ("IMAGE", "MASK", "STRING", "IMAGE", "LOAD3D_CAMERA", IO.VIDEO) + RETURN_NAMES = ("image", "mask", "mesh_path", "normal", "camera_info", "recording_video") + + FUNCTION = "process" + EXPERIMENTAL = True + + CATEGORY = "3d" + + def process(self, model_file, image, **kwargs): + image_path = folder_paths.get_annotated_filepath(image['image']) + mask_path = folder_paths.get_annotated_filepath(image['mask']) + normal_path = folder_paths.get_annotated_filepath(image['normal']) + + load_image_node = nodes.LoadImage() + output_image, ignore_mask = load_image_node.load_image(image=image_path) + ignore_image, output_mask = load_image_node.load_image(image=mask_path) + normal_image, ignore_mask2 = load_image_node.load_image(image=normal_path) + + video = None + + if image['recording'] != "": + recording_video_path = folder_paths.get_annotated_filepath(image['recording']) + + video = VideoFromFile(recording_video_path) + + return output_image, output_mask, model_file, normal_image, image['camera_info'], video + +class Preview3D(): + @classmethod + def INPUT_TYPES(s): + return {"required": { + "model_file": ("STRING", {"default": "", "multiline": False}), + }, + "optional": { + "camera_info": ("LOAD3D_CAMERA", {}) + }} + + OUTPUT_NODE = True + RETURN_TYPES = () + + CATEGORY = "3d" + + FUNCTION = "process" + EXPERIMENTAL = True + + def process(self, model_file, **kwargs): + camera_info = kwargs.get("camera_info", None) + + return { + "ui": { + "result": [model_file, camera_info] + } + } + +class Preview3DAnimation(): + @classmethod + def INPUT_TYPES(s): + return {"required": { + "model_file": ("STRING", {"default": "", "multiline": False}), + }, + "optional": { + "camera_info": ("LOAD3D_CAMERA", {}) + }} + + OUTPUT_NODE = True + RETURN_TYPES = () + + CATEGORY = "3d" + + FUNCTION = "process" + EXPERIMENTAL = True + + def process(self, model_file, **kwargs): + camera_info = kwargs.get("camera_info", None) + + return { + "ui": { + "result": [model_file, camera_info] + } + } + +NODE_CLASS_MAPPINGS = { + "Load3D": Load3D, + "Load3DAnimation": Load3DAnimation, + "Preview3D": Preview3D, + "Preview3DAnimation": Preview3DAnimation +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "Load3D": "Load 3D", + "Load3DAnimation": "Load 3D - Animation", + "Preview3D": "Preview 3D", + "Preview3DAnimation": "Preview 3D - Animation" +} diff --git a/comfy_extras/nodes_lora_extract.py b/comfy_extras/nodes_lora_extract.py new file mode 100644 index 0000000000000000000000000000000000000000..dfd4fe9f4a5c4b7aff37d244fc25033e9a286119 --- /dev/null +++ b/comfy_extras/nodes_lora_extract.py @@ -0,0 +1,119 @@ +import torch +import comfy.model_management +import comfy.utils +import folder_paths +import os +import logging +from enum import Enum + +CLAMP_QUANTILE = 0.99 + +def extract_lora(diff, rank): + conv2d = (len(diff.shape) == 4) + kernel_size = None if not conv2d else diff.size()[2:4] + conv2d_3x3 = conv2d and kernel_size != (1, 1) + out_dim, in_dim = diff.size()[0:2] + rank = min(rank, in_dim, out_dim) + + if conv2d: + if conv2d_3x3: + diff = diff.flatten(start_dim=1) + else: + diff = diff.squeeze() + + + U, S, Vh = torch.linalg.svd(diff.float()) + U = U[:, :rank] + S = S[:rank] + U = U @ torch.diag(S) + Vh = Vh[:rank, :] + + dist = torch.cat([U.flatten(), Vh.flatten()]) + hi_val = torch.quantile(dist, CLAMP_QUANTILE) + low_val = -hi_val + + U = U.clamp(low_val, hi_val) + Vh = Vh.clamp(low_val, hi_val) + if conv2d: + U = U.reshape(out_dim, rank, 1, 1) + Vh = Vh.reshape(rank, in_dim, kernel_size[0], kernel_size[1]) + return (U, Vh) + +class LORAType(Enum): + STANDARD = 0 + FULL_DIFF = 1 + +LORA_TYPES = {"standard": LORAType.STANDARD, + "full_diff": LORAType.FULL_DIFF} + +def calc_lora_model(model_diff, rank, prefix_model, prefix_lora, output_sd, lora_type, bias_diff=False): + comfy.model_management.load_models_gpu([model_diff], force_patch_weights=True) + sd = model_diff.model_state_dict(filter_prefix=prefix_model) + + for k in sd: + if k.endswith(".weight"): + weight_diff = sd[k] + if lora_type == LORAType.STANDARD: + if weight_diff.ndim < 2: + if bias_diff: + output_sd["{}{}.diff".format(prefix_lora, k[len(prefix_model):-7])] = weight_diff.contiguous().half().cpu() + continue + try: + out = extract_lora(weight_diff, rank) + output_sd["{}{}.lora_up.weight".format(prefix_lora, k[len(prefix_model):-7])] = out[0].contiguous().half().cpu() + output_sd["{}{}.lora_down.weight".format(prefix_lora, k[len(prefix_model):-7])] = out[1].contiguous().half().cpu() + except: + logging.warning("Could not generate lora weights for key {}, is the weight difference a zero?".format(k)) + elif lora_type == LORAType.FULL_DIFF: + output_sd["{}{}.diff".format(prefix_lora, k[len(prefix_model):-7])] = weight_diff.contiguous().half().cpu() + + elif bias_diff and k.endswith(".bias"): + output_sd["{}{}.diff_b".format(prefix_lora, k[len(prefix_model):-5])] = sd[k].contiguous().half().cpu() + return output_sd + +class LoraSave: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return {"required": {"filename_prefix": ("STRING", {"default": "loras/ComfyUI_extracted_lora"}), + "rank": ("INT", {"default": 8, "min": 1, "max": 4096, "step": 1}), + "lora_type": (tuple(LORA_TYPES.keys()),), + "bias_diff": ("BOOLEAN", {"default": True}), + }, + "optional": {"model_diff": ("MODEL", {"tooltip": "The ModelSubtract output to be converted to a lora."}), + "text_encoder_diff": ("CLIP", {"tooltip": "The CLIPSubtract output to be converted to a lora."})}, + } + RETURN_TYPES = () + FUNCTION = "save" + OUTPUT_NODE = True + + CATEGORY = "_for_testing" + + def save(self, filename_prefix, rank, lora_type, bias_diff, model_diff=None, text_encoder_diff=None): + if model_diff is None and text_encoder_diff is None: + return {} + + lora_type = LORA_TYPES.get(lora_type) + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir) + + output_sd = {} + if model_diff is not None: + output_sd = calc_lora_model(model_diff, rank, "diffusion_model.", "diffusion_model.", output_sd, lora_type, bias_diff=bias_diff) + if text_encoder_diff is not None: + output_sd = calc_lora_model(text_encoder_diff.patcher, rank, "", "text_encoders.", output_sd, lora_type, bias_diff=bias_diff) + + output_checkpoint = f"{filename}_{counter:05}_.safetensors" + output_checkpoint = os.path.join(full_output_folder, output_checkpoint) + + comfy.utils.save_torch_file(output_sd, output_checkpoint, metadata=None) + return {} + +NODE_CLASS_MAPPINGS = { + "LoraSave": LoraSave +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "LoraSave": "Extract and Save Lora" +} diff --git a/comfy_extras/nodes_lotus.py b/comfy_extras/nodes_lotus.py new file mode 100644 index 0000000000000000000000000000000000000000..739dbdd3dd49d1fd007c511e0f6d0da5bb619550 --- /dev/null +++ b/comfy_extras/nodes_lotus.py @@ -0,0 +1,29 @@ +import torch +import comfy.model_management as mm + +class LotusConditioning: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + }, + } + + RETURN_TYPES = ("CONDITIONING",) + RETURN_NAMES = ("conditioning",) + FUNCTION = "conditioning" + CATEGORY = "conditioning/lotus" + + def conditioning(self): + device = mm.get_torch_device() + #lotus uses a frozen encoder and null conditioning, i'm just inlining the results of that operation since it doesn't change + #and getting parity with the reference implementation would otherwise require inference and 800mb of tensors + prompt_embeds = torch.tensor([[[-0.3134765625, -0.447509765625, -0.00823974609375, -0.22802734375, 0.1785888671875, -0.2342529296875, -0.2188720703125, -0.0089111328125, -0.31396484375, 0.196533203125, -0.055877685546875, -0.3828125, -0.0965576171875, 0.0073394775390625, -0.284423828125, 0.07470703125, -0.086181640625, -0.211181640625, 0.0599365234375, 0.10693359375, 0.0007929801940917969, -0.78076171875, -0.382568359375, -0.1851806640625, -0.140625, -0.0936279296875, -0.1229248046875, -0.152099609375, -0.203857421875, -0.2349853515625, -0.2437744140625, -0.10858154296875, -0.08990478515625, 0.08892822265625, -0.2391357421875, -0.1611328125, -0.427978515625, -0.1336669921875, -0.27685546875, -0.1781005859375, -0.3857421875, 0.251953125, -0.055999755859375, -0.0712890625, -0.00130462646484375, 0.033477783203125, -0.26416015625, 0.07171630859375, -0.0090789794921875, -0.2025146484375, -0.2763671875, -0.09869384765625, -0.45751953125, -0.23095703125, 0.004528045654296875, -0.369140625, -0.366943359375, -0.205322265625, -0.1505126953125, -0.45166015625, -0.2059326171875, 0.0168609619140625, -0.305419921875, -0.150634765625, 0.02685546875, -0.609375, -0.019012451171875, 0.050445556640625, -0.0084381103515625, -0.31005859375, -0.184326171875, -0.15185546875, 0.06732177734375, 0.150390625, -0.10919189453125, -0.08837890625, -0.50537109375, -0.389892578125, -0.0294342041015625, -0.10491943359375, -0.187255859375, -0.43212890625, -0.328125, -1.060546875, 0.011871337890625, 0.04730224609375, -0.09521484375, -0.07452392578125, -0.29296875, -0.109130859375, -0.250244140625, -0.3828125, -0.171875, -0.03399658203125, -0.15478515625, -0.1861572265625, -0.2398681640625, 0.1053466796875, -0.22314453125, -0.1932373046875, -0.18798828125, -0.430419921875, -0.05364990234375, -0.474609375, -0.261474609375, -0.1077880859375, -0.439208984375, 0.08966064453125, -0.185302734375, -0.338134765625, -0.297119140625, -0.298583984375, -0.175537109375, -0.373291015625, -0.1397705078125, -0.260498046875, -0.383544921875, -0.09979248046875, -0.319580078125, -0.06884765625, -0.4365234375, -0.183837890625, -0.393310546875, -0.002277374267578125, 0.11236572265625, -0.260498046875, -0.2242431640625, -0.19384765625, -0.51123046875, 0.03216552734375, -0.048004150390625, -0.279052734375, -0.2978515625, -0.255615234375, 0.115478515625, -4.08984375, -0.1668701171875, -0.278076171875, -0.5712890625, -0.1385498046875, -0.244384765625, -0.41455078125, -0.244140625, -0.0677490234375, -0.141357421875, -0.11590576171875, -0.1439208984375, -0.0185394287109375, -2.490234375, -0.1549072265625, -0.2305908203125, -0.3828125, -0.1173095703125, -0.08258056640625, -0.1719970703125, -0.325439453125, -0.292724609375, -0.08154296875, -0.412353515625, -0.3115234375, -0.00832366943359375, 0.00489044189453125, -0.2236328125, -0.151123046875, -0.457275390625, -0.135009765625, -0.163330078125, -0.0819091796875, 0.06689453125, 0.0209197998046875, -0.11907958984375, -0.10369873046875, -0.2998046875, -0.478759765625, -0.07940673828125, -0.01517486572265625, -0.3017578125, -0.343994140625, -0.258544921875, -0.44775390625, -0.392822265625, -0.0255584716796875, -0.2998046875, 0.10833740234375, -0.271728515625, -0.36181640625, -0.255859375, -0.2056884765625, -0.055450439453125, 0.060516357421875, -0.45751953125, -0.2322998046875, -0.1737060546875, -0.40576171875, -0.2286376953125, -0.053070068359375, -0.0283660888671875, -0.1898193359375, -4.291534423828125e-05, -0.6591796875, -0.1717529296875, -0.479736328125, -0.1400146484375, -0.40771484375, 0.154296875, 0.003101348876953125, 0.00661468505859375, -0.2073974609375, -0.493408203125, 2.171875, -0.45361328125, -0.283935546875, -0.302001953125, -0.25146484375, -0.207275390625, -0.1524658203125, -0.72998046875, -0.08203125, 0.053192138671875, -0.2685546875, 0.1834716796875, -0.270263671875, -0.091552734375, -0.08319091796875, -0.1297607421875, -0.453857421875, 0.0687255859375, 0.0268096923828125, -0.16552734375, -0.4208984375, -0.1552734375, -0.057373046875, -0.300537109375, -0.04541015625, -0.486083984375, -0.2205810546875, -0.39013671875, 0.007488250732421875, -0.005329132080078125, -0.09759521484375, -0.1448974609375, -0.21923828125, -0.429443359375, -0.40087890625, -0.19384765625, -0.064453125, -0.0306243896484375, -0.045806884765625, -0.056793212890625, 0.119384765625, -0.2073974609375, -0.356201171875, -0.168212890625, -0.291748046875, -0.289794921875, -0.205322265625, -0.419677734375, -0.478271484375, -0.2037353515625, -0.368408203125, -0.186279296875, -0.427734375, -0.1756591796875, 0.07501220703125, -0.2457275390625, -0.03692626953125, 0.003997802734375, -5.7578125, -0.01052093505859375, -0.2305908203125, -0.2252197265625, -0.197509765625, -0.1566162109375, -0.1668701171875, -0.383056640625, -0.05413818359375, 0.12188720703125, -0.369873046875, -0.0184478759765625, -0.150146484375, -0.51123046875, -0.45947265625, -0.1561279296875, 0.060455322265625, 0.043487548828125, -0.1370849609375, -0.069091796875, -0.285888671875, -0.44482421875, -0.2374267578125, -0.2191162109375, -0.434814453125, -0.0360107421875, 0.1298828125, 0.0217742919921875, -0.51220703125, -0.13525390625, -0.09381103515625, -0.276611328125, -0.171875, -0.17138671875, -0.4443359375, -0.2178955078125, -0.269775390625, -0.38623046875, -0.31591796875, -0.42333984375, -0.280029296875, -0.255615234375, -0.17041015625, 0.06268310546875, -0.1878662109375, -0.00677490234375, -0.23583984375, -0.08795166015625, -0.2232666015625, -0.1719970703125, -0.484130859375, -0.328857421875, 0.04669189453125, -0.0419921875, -0.11114501953125, 0.02313232421875, -0.0033130645751953125, -0.6005859375, 0.09051513671875, -0.1884765625, -0.262939453125, -0.375732421875, -0.525390625, -0.1170654296875, -0.3779296875, -0.242919921875, -0.419921875, 0.0665283203125, -0.343017578125, 0.06658935546875, -0.346435546875, -0.1363525390625, -0.2000732421875, -0.3837890625, 0.028167724609375, 0.043853759765625, -0.0171051025390625, -0.477294921875, -0.107421875, -0.129150390625, -0.319580078125, -0.32177734375, -0.4951171875, -0.010589599609375, -0.1778564453125, -0.40234375, -0.0810546875, 0.03314208984375, -0.13720703125, -0.31591796875, -0.048248291015625, -0.274658203125, -0.0689697265625, -0.027130126953125, -0.0953369140625, 0.146728515625, -0.38671875, -0.025390625, -0.42333984375, -0.41748046875, -0.379638671875, -0.1978759765625, -0.533203125, -0.33544921875, 0.0694580078125, -0.322998046875, -0.1876220703125, 0.0094451904296875, 0.1839599609375, -0.254150390625, -0.30078125, -0.09228515625, -0.0885009765625, 0.12371826171875, 0.1500244140625, -0.12152099609375, -0.29833984375, 0.03924560546875, -0.1470947265625, -0.1610107421875, -0.2049560546875, -0.01708984375, -0.2470703125, -0.1522216796875, -0.25830078125, 0.10870361328125, -0.302490234375, -0.2376708984375, -0.360107421875, -0.443359375, -0.0784912109375, -0.63623046875, -0.0980224609375, -0.332275390625, -0.1749267578125, -0.30859375, -0.1968994140625, -0.250244140625, -0.447021484375, -0.18408203125, -0.006908416748046875, -0.2044677734375, -0.2548828125, -0.369140625, -0.11328125, -0.1103515625, -0.27783203125, -0.325439453125, 0.01381683349609375, 0.036773681640625, -0.1458740234375, -0.34619140625, -0.232177734375, -0.0562744140625, -0.4482421875, -0.21875, -0.0855712890625, -0.276123046875, -0.1544189453125, -0.223388671875, -0.259521484375, 0.0865478515625, -0.0038013458251953125, -0.340087890625, -0.076171875, -0.25341796875, -0.0007548332214355469, -0.060455322265625, -0.352294921875, 0.035736083984375, -0.2181396484375, -0.2318115234375, -0.1707763671875, 0.018646240234375, 0.093505859375, -0.197021484375, 0.033477783203125, -0.035247802734375, 0.0440673828125, -0.2056884765625, -0.040924072265625, -0.05865478515625, 0.056884765625, -0.08807373046875, -0.10845947265625, 0.09564208984375, -0.10888671875, -0.332275390625, -0.1119384765625, -0.115478515625, 13.0234375, 0.0030040740966796875, -0.53662109375, -0.1856689453125, -0.068115234375, -0.143798828125, -0.177978515625, -0.32666015625, -0.353515625, -0.1563720703125, -0.3203125, 0.0085906982421875, -0.1043701171875, -0.365478515625, -0.303466796875, -0.34326171875, -0.410888671875, -0.03790283203125, -0.11419677734375, -0.2939453125, 0.074462890625, -0.21826171875, 0.0242767333984375, -0.226318359375, -0.353515625, -0.177734375, -0.169189453125, -0.2423095703125, -0.12115478515625, -0.07843017578125, -0.341064453125, -0.2117919921875, -0.505859375, -0.544921875, -0.3935546875, -0.10772705078125, -0.2054443359375, -0.136474609375, -0.1796875, -0.396240234375, -0.1971435546875, -0.68408203125, -0.032684326171875, -0.03863525390625, -0.0709228515625, -0.1005859375, -0.156005859375, -0.3837890625, -0.319580078125, 0.11102294921875, -0.394287109375, 0.0799560546875, -0.50341796875, -0.1572265625, 0.004131317138671875, -0.12286376953125, -0.2347412109375, -0.29150390625, -0.10321044921875, -0.286376953125, 0.018798828125, -0.152099609375, -0.321044921875, 0.0191650390625, -0.11376953125, -0.54736328125, 0.15869140625, -0.257568359375, -0.2490234375, -0.3115234375, -0.09765625, -0.350830078125, -0.36376953125, -0.0771484375, -0.2298583984375, -0.30615234375, -0.052154541015625, -0.12091064453125, -0.40283203125, -0.1649169921875, 0.0206451416015625, -0.312744140625, -0.10308837890625, -0.50341796875, -0.1754150390625, -0.2003173828125, -0.173583984375, -0.204833984375, -0.1876220703125, -0.12176513671875, -0.06201171875, -0.03485107421875, -0.20068359375, -0.21484375, -0.246337890625, -0.006587982177734375, -0.09674072265625, -0.4658203125, -0.3994140625, -0.2210693359375, -0.09588623046875, -0.126220703125, -0.09222412109375, -0.145751953125, -0.217529296875, -0.289306640625, -0.28271484375, -0.1787109375, -0.169189453125, -0.359375, -0.21826171875, -0.043792724609375, -0.205322265625, -0.2900390625, -0.055419921875, -0.1490478515625, -0.340576171875, -0.045928955078125, -0.30517578125, -0.51123046875, -0.1046142578125, -0.349853515625, -0.10882568359375, -0.16748046875, -0.267333984375, -0.122314453125, -0.0985107421875, -0.3076171875, -0.1766357421875, -0.251708984375, 0.1964111328125, -0.2220458984375, -0.2349853515625, -0.035980224609375, -0.1749267578125, -0.237060546875, -0.480224609375, -0.240234375, -0.09539794921875, -0.2481689453125, -0.389404296875, -0.1748046875, -0.370849609375, -0.010650634765625, -0.147705078125, -0.0035457611083984375, -0.32568359375, -0.29931640625, -0.1395263671875, -0.28173828125, -0.09820556640625, -0.0176239013671875, -0.05926513671875, -0.0755615234375, -0.1746826171875, -0.283203125, -0.1617431640625, -0.4404296875, 0.046234130859375, -0.183837890625, -0.052032470703125, -0.24658203125, -0.11224365234375, -0.100830078125, -0.162841796875, -0.29736328125, -0.396484375, 0.11798095703125, -0.006496429443359375, -0.32568359375, -0.347900390625, -0.04595947265625, -0.09637451171875, -0.344970703125, -0.01166534423828125, -0.346435546875, -0.2861328125, -0.1845703125, -0.276611328125, -0.01312255859375, -0.395263671875, -0.50927734375, -0.1114501953125, -0.1861572265625, -0.2158203125, -0.1812744140625, 0.055419921875, -0.294189453125, 0.06500244140625, -0.1444091796875, -0.06365966796875, -0.18408203125, -0.0091705322265625, -0.1640625, -0.1856689453125, 0.090087890625, 0.024566650390625, -0.0195159912109375, -0.5546875, -0.301025390625, -0.438232421875, -0.072021484375, 0.030517578125, -0.1490478515625, 0.04888916015625, -0.23681640625, -0.1553955078125, -0.018096923828125, -0.229736328125, -0.2919921875, -0.355712890625, -0.285400390625, -0.1756591796875, -0.08355712890625, -0.416259765625, 0.022674560546875, -0.417236328125, 0.410400390625, -0.249755859375, 0.015625, -0.033599853515625, -0.040313720703125, -0.51708984375, -0.0518798828125, -0.08843994140625, -0.2022705078125, -0.3740234375, -0.285888671875, -0.176025390625, -0.292724609375, -0.369140625, -0.08367919921875, -0.356689453125, -0.38623046875, 0.06549072265625, 0.1669921875, -0.2099609375, -0.007434844970703125, 0.12890625, -0.0040740966796875, -0.2174072265625, -0.025115966796875, -0.2364501953125, -0.1695556640625, -0.0469970703125, -0.03924560546875, -0.36181640625, -0.047515869140625, -0.3154296875, -0.275634765625, -0.25634765625, -0.061920166015625, -0.12164306640625, -0.47314453125, -0.10784912109375, -0.74755859375, -0.13232421875, -0.32421875, -0.04998779296875, -0.286376953125, 0.10345458984375, -0.1710205078125, -0.388916015625, 0.12744140625, -0.3359375, -0.302490234375, -0.238525390625, -0.1455078125, -0.15869140625, -0.2427978515625, -0.0355224609375, -0.11944580078125, -0.31298828125, 0.11456298828125, -0.287841796875, -0.5439453125, -0.3076171875, -0.08642578125, -0.2408447265625, -0.283447265625, -0.428466796875, -0.085693359375, -0.1683349609375, 0.255126953125, 0.07635498046875, -0.38623046875, -0.2025146484375, -0.1331787109375, -0.10821533203125, -0.49951171875, 0.09130859375, -0.19677734375, -0.01904296875, -0.151123046875, -0.344482421875, -0.316650390625, -0.03900146484375, 0.1397705078125, 0.1334228515625, -0.037200927734375, -0.01861572265625, -0.1351318359375, -0.07037353515625, -0.380615234375, -0.34033203125, -0.06903076171875, 0.219970703125, 0.0132598876953125, -0.15869140625, -0.6376953125, 0.158935546875, -0.5283203125, -0.2320556640625, -0.185791015625, -0.2132568359375, -0.436767578125, -0.430908203125, -0.1763916015625, -0.0007672309875488281, -0.424072265625, -0.06719970703125, -0.347900390625, -0.14453125, -0.3056640625, -0.36474609375, -0.35986328125, -0.46240234375, -0.446044921875, -0.1905517578125, -0.1114501953125, -0.42919921875, -0.0643310546875, -0.3662109375, -0.4296875, -0.10968017578125, -0.2998046875, -0.1756591796875, -0.4052734375, -0.0841064453125, -0.252197265625, -0.047393798828125, 0.00434112548828125, -0.10040283203125, -0.271484375, -0.185302734375, -0.1910400390625, 0.10260009765625, 0.01393890380859375, -0.03350830078125, -0.33935546875, -0.329345703125, 0.0574951171875, -0.18896484375, -0.17724609375, -0.42919921875, -0.26708984375, -0.4189453125, -0.149169921875, -0.265625, -0.198974609375, -0.1722412109375, 0.1563720703125, -0.20947265625, -0.267822265625, -0.06353759765625, -0.365478515625, -0.340087890625, -0.3095703125, -0.320068359375, -0.0880126953125, -0.353759765625, -0.0005812644958496094, -0.1617431640625, -0.1866455078125, -0.201416015625, -0.181396484375, -0.2349853515625, -0.384765625, -0.5244140625, 0.01227569580078125, -0.21337890625, -0.30810546875, -0.17578125, -0.3037109375, -0.52978515625, -0.1561279296875, -0.296142578125, 0.057342529296875, -0.369384765625, -0.107666015625, -0.338623046875, -0.2060546875, -0.0213775634765625, -0.394775390625, -0.219482421875, -0.125732421875, -0.03997802734375, -0.42431640625, -0.134521484375, -0.2418212890625, -0.10504150390625, 0.1552734375, 0.1126708984375, -0.1427001953125, -0.133544921875, -0.111083984375, -0.375732421875, -0.2783203125, -0.036834716796875, -0.11053466796875, 0.2471923828125, -0.2529296875, -0.56494140625, -0.374755859375, -0.326416015625, 0.2137451171875, -0.09454345703125, -0.337158203125, -0.3359375, -0.34375, -0.0999755859375, -0.388671875, 0.0103302001953125, 0.14990234375, -0.2041015625, -0.39501953125, -0.39013671875, -0.1258544921875, 0.1453857421875, -0.250732421875, -0.06732177734375, -0.10638427734375, -0.032379150390625, -0.35888671875, -0.098876953125, -0.172607421875, 0.05126953125, -0.1956787109375, -0.183837890625, -0.37060546875, 0.1556396484375, -0.34375, -0.28662109375, -0.06982421875, -0.302490234375, -0.281005859375, -0.1640625, -0.5302734375, -0.1368408203125, -0.1268310546875, -0.35302734375, -0.1473388671875, -0.45556640625, -0.35986328125, -0.273681640625, -0.2249755859375, -0.1893310546875, 0.09356689453125, -0.248291015625, -0.197998046875, -0.3525390625, -0.30126953125, -0.228271484375, -0.2421875, -0.0906982421875, 0.227783203125, -0.296875, -0.009796142578125, -0.2939453125, -0.1021728515625, -0.215576171875, -0.267822265625, -0.052642822265625, 0.203369140625, -0.1417236328125, 0.18505859375, 0.12347412109375, -0.0972900390625, -0.54052734375, -0.430419921875, -0.0906982421875, -0.5419921875, -0.22900390625, -0.0625, -0.12152099609375, -0.495849609375, -0.206787109375, -0.025848388671875, 0.039031982421875, -0.453857421875, -0.318359375, -0.426025390625, -0.3701171875, -0.2169189453125, 0.0845947265625, -0.045654296875, 0.11090087890625, 0.0012454986572265625, 0.2066650390625, -0.046356201171875, -0.2337646484375, -0.295654296875, 0.057891845703125, -0.1639404296875, -0.0535888671875, -0.2607421875, -0.1488037109375, -0.16015625, -0.54345703125, -0.2305908203125, -0.55029296875, -0.178955078125, -0.222412109375, -0.0711669921875, -0.12298583984375, -0.119140625, -0.253662109375, -0.33984375, -0.11322021484375, -0.10723876953125, -0.205078125, -0.360595703125, 0.085205078125, -0.252197265625, -0.365966796875, -0.26953125, 0.2000732421875, -0.50634765625, 0.05706787109375, -0.3115234375, 0.0242919921875, -0.1689453125, -0.2401123046875, -0.3759765625, -0.2125244140625, 0.076416015625, -0.489013671875, -0.11749267578125, -0.55908203125, -0.313232421875, -0.572265625, -0.1387939453125, -0.037078857421875, -0.385498046875, 0.0323486328125, -0.39404296875, -0.05072021484375, -0.10430908203125, -0.10919189453125, -0.28759765625, -0.37451171875, -0.016937255859375, -0.2200927734375, -0.296875, -0.0286712646484375, -0.213134765625, 0.052001953125, -0.052337646484375, -0.253662109375, 0.07269287109375, -0.2498779296875, -0.150146484375, -0.09930419921875, -0.343505859375, 0.254150390625, -0.032440185546875, -0.296142578125], [1.4111328125, 0.00757598876953125, -0.428955078125, 0.089599609375, 0.0227813720703125, -0.0350341796875, -1.0986328125, 0.194091796875, 2.115234375, -0.75439453125, 0.269287109375, -0.73486328125, -1.1025390625, -0.050262451171875, -0.5830078125, 0.0268707275390625, -0.603515625, -0.6025390625, -1.1689453125, 0.25048828125, -0.4189453125, -0.5517578125, -0.30322265625, 0.7724609375, 0.931640625, -0.1422119140625, 2.27734375, -0.56591796875, 1.013671875, -0.9638671875, -0.66796875, -0.8125, 1.3740234375, -1.060546875, -1.029296875, -1.6796875, 0.62890625, 0.49365234375, 0.671875, 0.99755859375, -1.0185546875, -0.047027587890625, -0.374267578125, 0.2354736328125, 1.4970703125, -1.5673828125, 0.448974609375, 0.2078857421875, -1.060546875, -0.171875, -0.6201171875, -0.1607666015625, 0.7548828125, -0.58935546875, -0.2052001953125, 0.060791015625, 0.200439453125, 3.154296875, -3.87890625, 2.03515625, 1.126953125, 0.1640625, -1.8447265625, 0.002620697021484375, 0.7998046875, -0.337158203125, 0.47216796875, -0.5849609375, 0.9970703125, 0.3935546875, 1.22265625, -1.5048828125, -0.65673828125, 1.1474609375, -1.73046875, -1.8701171875, 1.529296875, -0.6787109375, -1.4453125, 1.556640625, -0.327392578125, 2.986328125, -0.146240234375, -2.83984375, 0.303466796875, -0.71728515625, -0.09698486328125, -0.2423095703125, 0.6767578125, -2.197265625, -0.86279296875, -0.53857421875, -1.2236328125, 1.669921875, -1.1689453125, -0.291259765625, -0.54736328125, -0.036346435546875, 1.041015625, -1.7265625, -0.6064453125, -0.1634521484375, 0.2381591796875, 0.65087890625, -1.169921875, 1.9208984375, 0.5634765625, 0.37841796875, 0.798828125, -1.021484375, -0.4091796875, 2.275390625, -0.302734375, -1.7783203125, 1.0458984375, 1.478515625, 0.708984375, -1.541015625, -0.0006041526794433594, 1.1884765625, 2.041015625, 0.560546875, -0.1131591796875, 1.0341796875, 0.06121826171875, 2.6796875, -0.53369140625, -1.2490234375, -0.7333984375, -1.017578125, -1.0078125, 1.3212890625, -0.47607421875, -1.4189453125, 0.54052734375, -0.796875, -0.73095703125, -1.412109375, -0.94873046875, -2.2734375, -1.1220703125, -1.3837890625, -0.5087890625, -1.0380859375, -0.93603515625, -0.58349609375, -1.0703125, -1.10546875, -2.60546875, 0.062225341796875, 0.38232421875, -0.411376953125, -0.369140625, -0.9833984375, -0.7294921875, -0.181396484375, -0.47216796875, -0.56884765625, -0.11041259765625, -2.673828125, 0.27783203125, -0.857421875, 0.9296875, 1.9580078125, 0.1385498046875, -1.91796875, -1.529296875, 0.53857421875, 0.509765625, -0.90380859375, -0.0947265625, -2.083984375, 0.9228515625, -0.28564453125, -0.80859375, -0.093505859375, -0.6015625, -1.255859375, 0.6533203125, 0.327880859375, -0.07598876953125, -0.22705078125, -0.30078125, -0.5185546875, -1.6044921875, 1.5927734375, 1.416015625, -0.91796875, -0.276611328125, -0.75830078125, -1.1689453125, -1.7421875, 1.0546875, -0.26513671875, -0.03314208984375, 0.278076171875, -1.337890625, 0.055023193359375, 0.10546875, -1.064453125, 1.048828125, -1.4052734375, -1.1240234375, -0.51416015625, -1.05859375, -1.7265625, -1.1328125, 0.43310546875, -2.576171875, -2.140625, -0.79345703125, 0.50146484375, 1.96484375, 0.98583984375, 0.337646484375, -0.77978515625, 0.85498046875, -0.65185546875, -0.484375, 2.708984375, 0.55810546875, -0.147216796875, -0.5537109375, -0.75439453125, -1.736328125, 1.1259765625, -1.095703125, -0.2587890625, 2.978515625, 0.335205078125, 0.357666015625, -0.09356689453125, 0.295654296875, -0.23779296875, 1.5751953125, 0.10400390625, 1.7001953125, -0.72900390625, -1.466796875, -0.2012939453125, 0.634765625, -0.1556396484375, -2.01171875, 0.32666015625, 0.047454833984375, -0.1671142578125, -0.78369140625, -0.994140625, 0.7802734375, -0.1429443359375, -0.115234375, 0.53271484375, -0.96142578125, -0.064208984375, 1.396484375, 1.654296875, -1.6015625, -0.77392578125, 0.276123046875, -0.42236328125, 0.8642578125, 0.533203125, 0.397216796875, -1.21484375, 0.392578125, -0.501953125, -0.231689453125, 1.474609375, 1.6669921875, 1.8662109375, -1.2998046875, 0.223876953125, -0.51318359375, -0.437744140625, -1.16796875, -0.7724609375, 1.6826171875, 0.62255859375, 2.189453125, -0.599609375, -0.65576171875, -1.1005859375, -0.45263671875, -0.292236328125, 2.58203125, -1.3779296875, 0.23486328125, -1.708984375, -1.4111328125, -0.5078125, -0.8525390625, -0.90771484375, 0.861328125, -2.22265625, -1.380859375, 0.7275390625, 0.85595703125, -0.77978515625, 2.044921875, -0.430908203125, 0.78857421875, -1.21484375, -0.09130859375, 0.5146484375, -1.92578125, -0.1396484375, 0.289306640625, 0.60498046875, 0.93896484375, -0.09295654296875, -0.45751953125, -0.986328125, -0.66259765625, 1.48046875, 0.274169921875, -0.267333984375, -1.3017578125, -1.3623046875, -1.982421875, -0.86083984375, -0.41259765625, -0.2939453125, -1.91015625, 1.6826171875, 0.437255859375, 1.0029296875, 0.376220703125, -0.010467529296875, -0.82861328125, -0.513671875, -3.134765625, 1.0205078125, -1.26171875, -1.009765625, 1.0869140625, -0.95703125, 0.0103759765625, 1.642578125, 0.78564453125, 1.029296875, 0.496826171875, 1.2880859375, 0.5234375, 0.05322265625, -0.206787109375, -0.79443359375, -1.1669921875, 0.049530029296875, -0.27978515625, 0.0237884521484375, -0.74169921875, -1.068359375, 0.86083984375, 1.1787109375, 0.91064453125, -0.453857421875, -1.822265625, -0.9228515625, -0.50048828125, 0.359130859375, 0.802734375, -1.3564453125, -0.322509765625, -1.1123046875, -1.0390625, -0.52685546875, -1.291015625, -0.343017578125, -1.2109375, -0.19091796875, 2.146484375, -0.04315185546875, -0.3701171875, -2.044921875, -0.429931640625, -0.56103515625, -0.166015625, -0.4658203125, -2.29296875, -1.078125, -1.0927734375, -0.1033935546875, -0.56103515625, -0.05743408203125, -1.986328125, -0.513671875, 0.70361328125, -2.484375, -1.3037109375, -1.6650390625, 0.4814453125, -0.84912109375, -2.697265625, -0.197998046875, 0.0869140625, -0.172607421875, -1.326171875, -1.197265625, 1.23828125, -0.38720703125, -0.075927734375, 0.02569580078125, -1.2119140625, 0.09027099609375, -2.12890625, -1.640625, -0.1524658203125, 0.2373046875, 1.37109375, 2.248046875, 1.4619140625, 0.3134765625, 0.50244140625, -0.1383056640625, -1.2705078125, 0.7353515625, 0.65771484375, -0.431396484375, -1.341796875, 0.10089111328125, 0.208984375, -0.0099945068359375, 0.83203125, 1.314453125, -0.422607421875, -1.58984375, -0.6044921875, 0.23681640625, -1.60546875, -0.61083984375, -1.5615234375, 1.62890625, -0.6728515625, -0.68212890625, -0.5224609375, -0.9150390625, -0.468994140625, 0.268310546875, 0.287353515625, -0.025543212890625, 0.443603515625, 1.62109375, -1.08984375, -0.5556640625, 1.03515625, -0.31298828125, -0.041778564453125, 0.260986328125, 0.34716796875, -2.326171875, 0.228271484375, -0.85107421875, -2.255859375, 0.3486328125, -0.25830078125, -0.3671875, -0.796875, -1.115234375, 1.8369140625, -0.19775390625, -1.236328125, -0.0447998046875, 0.69921875, 1.37890625, 1.11328125, 0.0928955078125, 0.6318359375, -0.62353515625, 0.55859375, -0.286865234375, 1.5361328125, -0.391357421875, -0.052215576171875, -1.12890625, 0.55517578125, -0.28515625, -0.3603515625, 0.68896484375, 0.67626953125, 0.003070831298828125, 1.2236328125, 0.1597900390625, -1.3076171875, 0.99951171875, -2.5078125, -1.2119140625, 0.1749267578125, -1.1865234375, -1.234375, -0.1180419921875, -1.751953125, 0.033050537109375, 0.234130859375, -3.107421875, -1.0380859375, 0.61181640625, -0.87548828125, 0.3154296875, -1.103515625, 0.261474609375, -1.130859375, -0.7470703125, -0.43408203125, 1.3828125, -0.41259765625, -1.7587890625, 0.765625, 0.004852294921875, 0.135498046875, -0.76953125, -0.1314697265625, 0.400390625, 1.43359375, 0.07135009765625, 0.0645751953125, -0.5869140625, -0.5810546875, -0.2900390625, -1.3037109375, 0.1287841796875, -0.27490234375, 0.59228515625, 2.333984375, -0.54541015625, -0.556640625, 0.447265625, -0.806640625, 0.09149169921875, -0.70654296875, -0.357177734375, -1.099609375, -0.5576171875, -0.44189453125, 0.400390625, -0.666015625, -1.4619140625, 0.728515625, -1.5986328125, 0.153076171875, -0.126708984375, -2.83984375, -1.84375, -0.2469482421875, 0.677734375, 0.43701171875, 3.298828125, 1.1591796875, -0.7158203125, -0.8251953125, 0.451171875, -2.376953125, -0.58642578125, -0.86767578125, 0.0789794921875, 0.1351318359375, -0.325439453125, 0.484375, 1.166015625, -0.1610107421875, -0.15234375, -0.54638671875, -0.806640625, 0.285400390625, 0.1661376953125, -0.50146484375, -1.0478515625, 1.5751953125, 0.0313720703125, 0.2396240234375, -0.6572265625, -0.1258544921875, -1.060546875, 1.3076171875, -0.301513671875, -1.2412109375, 0.6376953125, -1.5693359375, 0.354248046875, 0.2427978515625, -0.392333984375, 0.61962890625, -0.58837890625, -1.71484375, -0.2098388671875, -0.828125, 0.330810546875, 0.16357421875, -0.2259521484375, 0.0972900390625, -0.451416015625, 1.79296875, -1.673828125, -1.58203125, -2.099609375, -0.487548828125, -0.87060546875, 0.62646484375, -1.470703125, -0.1558837890625, 0.4609375, 1.3369140625, 0.2322998046875, 0.1632080078125, 0.65966796875, 1.0810546875, 0.1041259765625, 0.63232421875, -0.32421875, -1.04296875, -1.046875, -1.3720703125, -0.8486328125, 0.1290283203125, 0.137939453125, 0.1549072265625, -1.0908203125, 0.0167694091796875, -0.31689453125, 1.390625, 0.07269287109375, 1.0390625, 1.1162109375, -0.455810546875, -0.06689453125, -0.053741455078125, 0.5048828125, -0.8408203125, -1.19921875, 0.87841796875, 0.7421875, 0.2030029296875, 0.109619140625, -0.59912109375, -1.337890625, -0.74169921875, -0.64453125, -1.326171875, 0.21044921875, -1.3583984375, -1.685546875, -0.472900390625, -0.270263671875, 0.99365234375, -0.96240234375, 1.1279296875, -0.45947265625, -0.45654296875, -0.99169921875, -3.515625, -1.9853515625, 0.73681640625, 0.92333984375, -0.56201171875, -1.4453125, -2.078125, 0.94189453125, -1.333984375, 0.0982666015625, 0.60693359375, 0.367431640625, 3.015625, -1.1357421875, -1.5634765625, 0.90234375, -0.1783447265625, 0.1802978515625, -0.317138671875, -0.513671875, 1.2353515625, -0.033203125, 1.4482421875, 1.0087890625, 0.9248046875, 0.10418701171875, 0.7626953125, -1.3798828125, 0.276123046875, 0.55224609375, 1.1005859375, -0.62158203125, -0.806640625, 0.65087890625, 0.270263671875, -0.339111328125, -0.9384765625, -0.09381103515625, -0.7216796875, 1.37890625, -0.398193359375, -0.3095703125, -1.4912109375, 0.96630859375, 0.43798828125, 0.62255859375, 0.0213470458984375, 0.235595703125, -1.2958984375, 0.0157318115234375, -0.810546875, 1.9736328125, -0.2462158203125, 0.720703125, 0.822265625, -0.755859375, -0.658203125, 0.344482421875, -2.892578125, -0.282470703125, 1.2529296875, -0.294189453125, 0.6748046875, -0.80859375, 0.9287109375, 1.27734375, -1.71875, -0.166015625, 0.47412109375, -0.41259765625, -1.3681640625, -0.978515625, -0.77978515625, -1.044921875, -0.90380859375, -0.08184814453125, -0.86181640625, -0.10772705078125, -0.299560546875, -0.4306640625, -0.47119140625, 0.95703125, 1.107421875, 0.91796875, 0.76025390625, 0.7392578125, -0.09161376953125, -0.7392578125, 0.9716796875, -0.395751953125, -0.75390625, -0.164306640625, -0.087646484375, 0.028564453125, -0.91943359375, -0.66796875, 2.486328125, 0.427734375, 0.626953125, 0.474853515625, 0.0926513671875, 0.830078125, -0.6923828125, 0.7841796875, -0.89208984375, -2.482421875, 0.034912109375, -1.3447265625, -0.475341796875, -0.286376953125, -0.732421875, 0.190673828125, -0.491455078125, -3.091796875, -1.2783203125, -0.66015625, -0.1507568359375, 0.042236328125, -1.025390625, 0.12744140625, -1.984375, -0.393798828125, -1.25, -1.140625, 1.77734375, 0.2457275390625, -0.8017578125, 0.7763671875, -0.387939453125, -0.3662109375, 1.1572265625, 0.123291015625, -0.07135009765625, 1.412109375, -0.685546875, -3.078125, 0.031524658203125, -0.70458984375, 0.78759765625, 0.433837890625, -1.861328125, -1.33203125, 2.119140625, -1.3544921875, -0.6591796875, -1.4970703125, 0.40625, -2.078125, -1.30859375, 0.050262451171875, -0.60107421875, 1.0078125, 0.05657958984375, -0.96826171875, 0.0264892578125, 0.159912109375, 0.84033203125, -1.1494140625, -0.0433349609375, -0.2034912109375, 1.09765625, -1.142578125, -0.283203125, -0.427978515625, 1.0927734375, -0.67529296875, -0.61572265625, 2.517578125, 0.84130859375, 1.8662109375, 0.1748046875, -0.407958984375, -0.029449462890625, -0.27587890625, -0.958984375, -0.10028076171875, 1.248046875, -0.0792236328125, -0.45556640625, 0.7685546875, 1.5556640625, -1.8759765625, -0.131591796875, -1.3583984375, 0.7890625, 0.80810546875, -1.0322265625, -0.53076171875, -0.1484375, -1.7841796875, -1.2470703125, 0.17138671875, -0.04864501953125, -0.80322265625, -0.0933837890625, 0.984375, 0.7001953125, 0.5380859375, 0.2022705078125, -1.1865234375, 0.5439453125, 1.1318359375, 0.79931640625, 0.32666015625, -1.26171875, 0.457763671875, 1.1591796875, -0.34423828125, 0.65771484375, 0.216552734375, 1.19140625, -0.2744140625, -0.020416259765625, -0.86376953125, 0.93017578125, 1.0556640625, 0.69873046875, -0.15087890625, -0.33056640625, 0.8505859375, 0.06890869140625, 0.359375, -0.262939453125, 0.12493896484375, 0.017059326171875, -0.98974609375, 0.5107421875, 0.2408447265625, 0.615234375, -0.62890625, 0.86962890625, -0.07427978515625, 0.85595703125, 0.300537109375, -1.072265625, -1.6064453125, -0.353515625, -0.484130859375, -0.6044921875, -0.455810546875, 0.95849609375, 1.3671875, 0.544921875, 0.560546875, 0.34521484375, -0.6513671875, -0.410400390625, -0.2021484375, -0.1656494140625, 0.073486328125, 0.84716796875, -1.7998046875, -1.0126953125, -0.1324462890625, 0.95849609375, -0.669921875, -0.79052734375, -2.193359375, -0.42529296875, -1.7275390625, -1.04296875, 0.716796875, -0.4423828125, -1.193359375, 0.61572265625, -1.5224609375, 0.62890625, -0.705078125, 0.677734375, -0.213134765625, -1.6748046875, -1.087890625, -0.65185546875, -1.1337890625, 2.314453125, -0.352783203125, -0.27001953125, -2.01953125, -1.2685546875, 0.308837890625, -0.280517578125, -1.3798828125, -1.595703125, 0.642578125, 1.693359375, -0.82470703125, -1.255859375, 0.57373046875, 1.5859375, 1.068359375, -0.876953125, 0.370849609375, 1.220703125, 0.59765625, 0.007602691650390625, 0.09326171875, -0.9521484375, -0.024932861328125, -0.94775390625, -0.299560546875, -0.002536773681640625, 1.41796875, -0.06903076171875, -1.5927734375, 0.353515625, 3.63671875, -0.765625, -1.1142578125, 0.4287109375, -0.86865234375, -0.9267578125, -0.21826171875, -1.10546875, 0.29296875, -0.225830078125, 0.5400390625, -0.45556640625, -0.68701171875, -0.79150390625, -1.0810546875, 0.25439453125, -1.2998046875, -0.494140625, -0.1510009765625, 1.5615234375, -0.4248046875, -0.486572265625, 0.45458984375, 0.047637939453125, -0.11639404296875, 0.057403564453125, 0.130126953125, -0.10125732421875, -0.56201171875, 1.4765625, -1.7451171875, 1.34765625, -0.45703125, 0.873046875, -0.056121826171875, -0.8876953125, -0.986328125, 1.5654296875, 0.49853515625, 0.55859375, -0.2198486328125, 0.62548828125, 0.2734375, -0.63671875, -0.41259765625, -1.2705078125, 0.0665283203125, 1.3369140625, 0.90283203125, -0.77685546875, -1.5, -1.8525390625, -1.314453125, -0.86767578125, -0.331787109375, 0.1590576171875, 0.94775390625, -0.1771240234375, 1.638671875, -2.17578125, 0.58740234375, 0.424560546875, -0.3466796875, 0.642578125, 0.473388671875, 0.96435546875, 1.38671875, -0.91357421875, 1.0361328125, -0.67333984375, 1.5009765625]]]).to(device) + + cond = [[prompt_embeds, {}]] + + return (cond,) + +NODE_CLASS_MAPPINGS = { + "LotusConditioning" : LotusConditioning, +} diff --git a/comfy_extras/nodes_lt.py b/comfy_extras/nodes_lt.py new file mode 100644 index 0000000000000000000000000000000000000000..f82337a671ed8761cc9f88cfb85f8d208c4099b7 --- /dev/null +++ b/comfy_extras/nodes_lt.py @@ -0,0 +1,474 @@ +import io +import nodes +import node_helpers +import torch +import comfy.model_management +import comfy.model_sampling +import comfy.utils +import math +import numpy as np +import av +from comfy.ldm.lightricks.symmetric_patchifier import SymmetricPatchifier, latent_to_pixel_coords + +class EmptyLTXVLatentVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": { "width": ("INT", {"default": 768, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 32}), + "height": ("INT", {"default": 512, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 32}), + "length": ("INT", {"default": 97, "min": 1, "max": nodes.MAX_RESOLUTION, "step": 8}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent/video/ltxv" + + def generate(self, width, height, length, batch_size=1): + latent = torch.zeros([batch_size, 128, ((length - 1) // 8) + 1, height // 32, width // 32], device=comfy.model_management.intermediate_device()) + return ({"samples": latent}, ) + + +class LTXVImgToVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "vae": ("VAE",), + "image": ("IMAGE",), + "width": ("INT", {"default": 768, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 32}), + "height": ("INT", {"default": 512, "min": 64, "max": nodes.MAX_RESOLUTION, "step": 32}), + "length": ("INT", {"default": 97, "min": 9, "max": nodes.MAX_RESOLUTION, "step": 8}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0}), + }} + + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + CATEGORY = "conditioning/video_models" + FUNCTION = "generate" + + def generate(self, positive, negative, image, vae, width, height, length, batch_size, strength): + pixels = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + encode_pixels = pixels[:, :, :, :3] + t = vae.encode(encode_pixels) + + latent = torch.zeros([batch_size, 128, ((length - 1) // 8) + 1, height // 32, width // 32], device=comfy.model_management.intermediate_device()) + latent[:, :, :t.shape[2]] = t + + conditioning_latent_frames_mask = torch.ones( + (batch_size, 1, latent.shape[2], 1, 1), + dtype=torch.float32, + device=latent.device, + ) + conditioning_latent_frames_mask[:, :, :t.shape[2]] = 1.0 - strength + + return (positive, negative, {"samples": latent, "noise_mask": conditioning_latent_frames_mask}, ) + + +def conditioning_get_any_value(conditioning, key, default=None): + for t in conditioning: + if key in t[1]: + return t[1][key] + return default + + +def get_noise_mask(latent): + noise_mask = latent.get("noise_mask", None) + latent_image = latent["samples"] + if noise_mask is None: + batch_size, _, latent_length, _, _ = latent_image.shape + noise_mask = torch.ones( + (batch_size, 1, latent_length, 1, 1), + dtype=torch.float32, + device=latent_image.device, + ) + else: + noise_mask = noise_mask.clone() + return noise_mask + +def get_keyframe_idxs(cond): + keyframe_idxs = conditioning_get_any_value(cond, "keyframe_idxs", None) + if keyframe_idxs is None: + return None, 0 + num_keyframes = torch.unique(keyframe_idxs[:, 0]).shape[0] + return keyframe_idxs, num_keyframes + +class LTXVAddGuide: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "vae": ("VAE",), + "latent": ("LATENT",), + "image": ("IMAGE", {"tooltip": "Image or video to condition the latent video on. Must be 8*n + 1 frames." + "If the video is not 8*n + 1 frames, it will be cropped to the nearest 8*n + 1 frames."}), + "frame_idx": ("INT", {"default": 0, "min": -9999, "max": 9999, + "tooltip": "Frame index to start the conditioning at. For single-frame images or " + "videos with 1-8 frames, any frame_idx value is acceptable. For videos with 9+ " + "frames, frame_idx must be divisible by 8, otherwise it will be rounded down to " + "the nearest multiple of 8. Negative values are counted from the end of the video."}), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + CATEGORY = "conditioning/video_models" + FUNCTION = "generate" + + def __init__(self): + self._num_prefix_frames = 2 + self._patchifier = SymmetricPatchifier(1) + + def encode(self, vae, latent_width, latent_height, images, scale_factors): + time_scale_factor, width_scale_factor, height_scale_factor = scale_factors + images = images[:(images.shape[0] - 1) // time_scale_factor * time_scale_factor + 1] + pixels = comfy.utils.common_upscale(images.movedim(-1, 1), latent_width * width_scale_factor, latent_height * height_scale_factor, "bilinear", crop="disabled").movedim(1, -1) + encode_pixels = pixels[:, :, :, :3] + t = vae.encode(encode_pixels) + return encode_pixels, t + + def get_latent_index(self, cond, latent_length, guide_length, frame_idx, scale_factors): + time_scale_factor, _, _ = scale_factors + _, num_keyframes = get_keyframe_idxs(cond) + latent_count = latent_length - num_keyframes + frame_idx = frame_idx if frame_idx >= 0 else max((latent_count - 1) * time_scale_factor + 1 + frame_idx, 0) + if guide_length > 1 and frame_idx != 0: + frame_idx = (frame_idx - 1) // time_scale_factor * time_scale_factor + 1 # frame index - 1 must be divisible by 8 or frame_idx == 0 + + latent_idx = (frame_idx + time_scale_factor - 1) // time_scale_factor + + return frame_idx, latent_idx + + def add_keyframe_index(self, cond, frame_idx, guiding_latent, scale_factors): + keyframe_idxs, _ = get_keyframe_idxs(cond) + _, latent_coords = self._patchifier.patchify(guiding_latent) + pixel_coords = latent_to_pixel_coords(latent_coords, scale_factors, causal_fix=frame_idx == 0) # we need the causal fix only if we're placing the new latents at index 0 + pixel_coords[:, 0] += frame_idx + if keyframe_idxs is None: + keyframe_idxs = pixel_coords + else: + keyframe_idxs = torch.cat([keyframe_idxs, pixel_coords], dim=2) + return node_helpers.conditioning_set_values(cond, {"keyframe_idxs": keyframe_idxs}) + + def append_keyframe(self, positive, negative, frame_idx, latent_image, noise_mask, guiding_latent, strength, scale_factors): + _, latent_idx = self.get_latent_index( + cond=positive, + latent_length=latent_image.shape[2], + guide_length=guiding_latent.shape[2], + frame_idx=frame_idx, + scale_factors=scale_factors, + ) + noise_mask[:, :, latent_idx:latent_idx + guiding_latent.shape[2]] = 1.0 + + positive = self.add_keyframe_index(positive, frame_idx, guiding_latent, scale_factors) + negative = self.add_keyframe_index(negative, frame_idx, guiding_latent, scale_factors) + + mask = torch.full( + (noise_mask.shape[0], 1, guiding_latent.shape[2], noise_mask.shape[3], noise_mask.shape[4]), + 1.0 - strength, + dtype=noise_mask.dtype, + device=noise_mask.device, + ) + + latent_image = torch.cat([latent_image, guiding_latent], dim=2) + noise_mask = torch.cat([noise_mask, mask], dim=2) + return positive, negative, latent_image, noise_mask + + def replace_latent_frames(self, latent_image, noise_mask, guiding_latent, latent_idx, strength): + cond_length = guiding_latent.shape[2] + assert latent_image.shape[2] >= latent_idx + cond_length, "Conditioning frames exceed the length of the latent sequence." + + mask = torch.full( + (noise_mask.shape[0], 1, cond_length, 1, 1), + 1.0 - strength, + dtype=noise_mask.dtype, + device=noise_mask.device, + ) + + latent_image = latent_image.clone() + noise_mask = noise_mask.clone() + + latent_image[:, :, latent_idx : latent_idx + cond_length] = guiding_latent + noise_mask[:, :, latent_idx : latent_idx + cond_length] = mask + + return latent_image, noise_mask + + def generate(self, positive, negative, vae, latent, image, frame_idx, strength): + scale_factors = vae.downscale_index_formula + latent_image = latent["samples"] + noise_mask = get_noise_mask(latent) + + _, _, latent_length, latent_height, latent_width = latent_image.shape + image, t = self.encode(vae, latent_width, latent_height, image, scale_factors) + + frame_idx, latent_idx = self.get_latent_index(positive, latent_length, len(image), frame_idx, scale_factors) + assert latent_idx + t.shape[2] <= latent_length, "Conditioning frames exceed the length of the latent sequence." + + num_prefix_frames = min(self._num_prefix_frames, t.shape[2]) + + positive, negative, latent_image, noise_mask = self.append_keyframe( + positive, + negative, + frame_idx, + latent_image, + noise_mask, + t[:, :, :num_prefix_frames], + strength, + scale_factors, + ) + + latent_idx += num_prefix_frames + + t = t[:, :, num_prefix_frames:] + if t.shape[2] == 0: + return (positive, negative, {"samples": latent_image, "noise_mask": noise_mask},) + + latent_image, noise_mask = self.replace_latent_frames( + latent_image, + noise_mask, + t, + latent_idx, + strength, + ) + + return (positive, negative, {"samples": latent_image, "noise_mask": noise_mask},) + + +class LTXVCropGuides: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "latent": ("LATENT",), + } + } + + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + CATEGORY = "conditioning/video_models" + FUNCTION = "crop" + + def __init__(self): + self._patchifier = SymmetricPatchifier(1) + + def crop(self, positive, negative, latent): + latent_image = latent["samples"].clone() + noise_mask = get_noise_mask(latent) + + _, num_keyframes = get_keyframe_idxs(positive) + if num_keyframes == 0: + return (positive, negative, {"samples": latent_image, "noise_mask": noise_mask},) + + latent_image = latent_image[:, :, :-num_keyframes] + noise_mask = noise_mask[:, :, :-num_keyframes] + + positive = node_helpers.conditioning_set_values(positive, {"keyframe_idxs": None}) + negative = node_helpers.conditioning_set_values(negative, {"keyframe_idxs": None}) + + return (positive, negative, {"samples": latent_image, "noise_mask": noise_mask},) + + +class LTXVConditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "frame_rate": ("FLOAT", {"default": 25.0, "min": 0.0, "max": 1000.0, "step": 0.01}), + }} + RETURN_TYPES = ("CONDITIONING", "CONDITIONING") + RETURN_NAMES = ("positive", "negative") + FUNCTION = "append" + + CATEGORY = "conditioning/video_models" + + def append(self, positive, negative, frame_rate): + positive = node_helpers.conditioning_set_values(positive, {"frame_rate": frame_rate}) + negative = node_helpers.conditioning_set_values(negative, {"frame_rate": frame_rate}) + return (positive, negative) + + +class ModelSamplingLTXV: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "max_shift": ("FLOAT", {"default": 2.05, "min": 0.0, "max": 100.0, "step":0.01}), + "base_shift": ("FLOAT", {"default": 0.95, "min": 0.0, "max": 100.0, "step":0.01}), + }, + "optional": {"latent": ("LATENT",), } + } + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, max_shift, base_shift, latent=None): + m = model.clone() + + if latent is None: + tokens = 4096 + else: + tokens = math.prod(latent["samples"].shape[2:]) + + x1 = 1024 + x2 = 4096 + mm = (max_shift - base_shift) / (x2 - x1) + b = base_shift - mm * x1 + shift = (tokens) * mm + b + + sampling_base = comfy.model_sampling.ModelSamplingFlux + sampling_type = comfy.model_sampling.CONST + + class ModelSamplingAdvanced(sampling_base, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config) + model_sampling.set_parameters(shift=shift) + m.add_object_patch("model_sampling", model_sampling) + + return (m, ) + + +class LTXVScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "max_shift": ("FLOAT", {"default": 2.05, "min": 0.0, "max": 100.0, "step":0.01}), + "base_shift": ("FLOAT", {"default": 0.95, "min": 0.0, "max": 100.0, "step":0.01}), + "stretch": ("BOOLEAN", { + "default": True, + "tooltip": "Stretch the sigmas to be in the range [terminal, 1]." + }), + "terminal": ( + "FLOAT", + { + "default": 0.1, "min": 0.0, "max": 0.99, "step": 0.01, + "tooltip": "The terminal value of the sigmas after stretching." + }, + ), + }, + "optional": {"latent": ("LATENT",), } + } + + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, steps, max_shift, base_shift, stretch, terminal, latent=None): + if latent is None: + tokens = 4096 + else: + tokens = math.prod(latent["samples"].shape[2:]) + + sigmas = torch.linspace(1.0, 0.0, steps + 1) + + x1 = 1024 + x2 = 4096 + mm = (max_shift - base_shift) / (x2 - x1) + b = base_shift - mm * x1 + sigma_shift = (tokens) * mm + b + + power = 1 + sigmas = torch.where( + sigmas != 0, + math.exp(sigma_shift) / (math.exp(sigma_shift) + (1 / sigmas - 1) ** power), + 0, + ) + + # Stretch sigmas so that its final value matches the given terminal value. + if stretch: + non_zero_mask = sigmas != 0 + non_zero_sigmas = sigmas[non_zero_mask] + one_minus_z = 1.0 - non_zero_sigmas + scale_factor = one_minus_z[-1] / (1.0 - terminal) + stretched = 1.0 - (one_minus_z / scale_factor) + sigmas[non_zero_mask] = stretched + + return (sigmas,) + +def encode_single_frame(output_file, image_array: np.ndarray, crf): + container = av.open(output_file, "w", format="mp4") + try: + stream = container.add_stream( + "libx264", rate=1, options={"crf": str(crf), "preset": "veryfast"} + ) + stream.height = image_array.shape[0] + stream.width = image_array.shape[1] + av_frame = av.VideoFrame.from_ndarray(image_array, format="rgb24").reformat( + format="yuv420p" + ) + container.mux(stream.encode(av_frame)) + container.mux(stream.encode()) + finally: + container.close() + + +def decode_single_frame(video_file): + container = av.open(video_file) + try: + stream = next(s for s in container.streams if s.type == "video") + frame = next(container.decode(stream)) + finally: + container.close() + return frame.to_ndarray(format="rgb24") + + +def preprocess(image: torch.Tensor, crf=29): + if crf == 0: + return image + + image_array = (image[:(image.shape[0] // 2) * 2, :(image.shape[1] // 2) * 2] * 255.0).byte().cpu().numpy() + with io.BytesIO() as output_file: + encode_single_frame(output_file, image_array, crf) + video_bytes = output_file.getvalue() + with io.BytesIO(video_bytes) as video_file: + image_array = decode_single_frame(video_file) + tensor = torch.tensor(image_array, dtype=image.dtype, device=image.device) / 255.0 + return tensor + + +class LTXVPreprocess: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "img_compression": ( + "INT", + { + "default": 35, + "min": 0, + "max": 100, + "tooltip": "Amount of compression to apply on image.", + }, + ), + } + } + + FUNCTION = "preprocess" + RETURN_TYPES = ("IMAGE",) + RETURN_NAMES = ("output_image",) + CATEGORY = "image" + + def preprocess(self, image, img_compression): + output_images = [] + for i in range(image.shape[0]): + output_images.append(preprocess(image[i], img_compression)) + return (torch.stack(output_images),) + + +NODE_CLASS_MAPPINGS = { + "EmptyLTXVLatentVideo": EmptyLTXVLatentVideo, + "LTXVImgToVideo": LTXVImgToVideo, + "ModelSamplingLTXV": ModelSamplingLTXV, + "LTXVConditioning": LTXVConditioning, + "LTXVScheduler": LTXVScheduler, + "LTXVAddGuide": LTXVAddGuide, + "LTXVPreprocess": LTXVPreprocess, + "LTXVCropGuides": LTXVCropGuides, +} diff --git a/comfy_extras/nodes_lumina2.py b/comfy_extras/nodes_lumina2.py new file mode 100644 index 0000000000000000000000000000000000000000..275189785dca4dd6a9c56b58e87a0ab93342d9ec --- /dev/null +++ b/comfy_extras/nodes_lumina2.py @@ -0,0 +1,104 @@ +from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict +import torch + + +class RenormCFG: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "cfg_trunc": ("FLOAT", {"default": 100, "min": 0.0, "max": 100.0, "step": 0.01}), + "renorm_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, cfg_trunc, renorm_cfg): + def renorm_cfg_func(args): + cond_denoised = args["cond_denoised"] + uncond_denoised = args["uncond_denoised"] + cond_scale = args["cond_scale"] + timestep = args["timestep"] + x_orig = args["input"] + in_channels = model.model.diffusion_model.in_channels + + if timestep[0] < cfg_trunc: + cond_eps, uncond_eps = cond_denoised[:, :in_channels], uncond_denoised[:, :in_channels] + cond_rest, _ = cond_denoised[:, in_channels:], uncond_denoised[:, in_channels:] + half_eps = uncond_eps + cond_scale * (cond_eps - uncond_eps) + half_rest = cond_rest + + if float(renorm_cfg) > 0.0: + ori_pos_norm = torch.linalg.vector_norm(cond_eps + , dim=tuple(range(1, len(cond_eps.shape))), keepdim=True + ) + max_new_norm = ori_pos_norm * float(renorm_cfg) + new_pos_norm = torch.linalg.vector_norm( + half_eps, dim=tuple(range(1, len(half_eps.shape))), keepdim=True + ) + if new_pos_norm >= max_new_norm: + half_eps = half_eps * (max_new_norm / new_pos_norm) + else: + cond_eps, uncond_eps = cond_denoised[:, :in_channels], uncond_denoised[:, :in_channels] + cond_rest, _ = cond_denoised[:, in_channels:], uncond_denoised[:, in_channels:] + half_eps = cond_eps + half_rest = cond_rest + + cfg_result = torch.cat([half_eps, half_rest], dim=1) + + # cfg_result = uncond_denoised + (cond_denoised - uncond_denoised) * cond_scale + + return x_orig - cfg_result + + m = model.clone() + m.set_model_sampler_cfg_function(renorm_cfg_func) + return (m, ) + + +class CLIPTextEncodeLumina2(ComfyNodeABC): + SYSTEM_PROMPT = { + "superior": "You are an assistant designed to generate superior images with the superior "\ + "degree of image-text alignment based on textual prompts or user prompts.", + "alignment": "You are an assistant designed to generate high-quality images with the "\ + "highest degree of image-text alignment based on textual prompts." + } + SYSTEM_PROMPT_TIP = "Lumina2 provide two types of system prompts:" \ + "Superior: You are an assistant designed to generate superior images with the superior "\ + "degree of image-text alignment based on textual prompts or user prompts. "\ + "Alignment: You are an assistant designed to generate high-quality images with the highest "\ + "degree of image-text alignment based on textual prompts." + @classmethod + def INPUT_TYPES(s) -> InputTypeDict: + return { + "required": { + "system_prompt": (list(CLIPTextEncodeLumina2.SYSTEM_PROMPT.keys()), {"tooltip": CLIPTextEncodeLumina2.SYSTEM_PROMPT_TIP}), + "user_prompt": (IO.STRING, {"multiline": True, "dynamicPrompts": True, "tooltip": "The text to be encoded."}), + "clip": (IO.CLIP, {"tooltip": "The CLIP model used for encoding the text."}) + } + } + RETURN_TYPES = (IO.CONDITIONING,) + OUTPUT_TOOLTIPS = ("A conditioning containing the embedded text used to guide the diffusion model.",) + FUNCTION = "encode" + + CATEGORY = "conditioning" + DESCRIPTION = "Encodes a system prompt and a user prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images." + + def encode(self, clip, user_prompt, system_prompt): + if clip is None: + raise RuntimeError("ERROR: clip input is invalid: None\n\nIf the clip is from a checkpoint loader node your checkpoint does not contain a valid clip or text encoder model.") + system_prompt = CLIPTextEncodeLumina2.SYSTEM_PROMPT[system_prompt] + prompt = f'{system_prompt} {user_prompt}' + tokens = clip.tokenize(prompt) + return (clip.encode_from_tokens_scheduled(tokens), ) + + +NODE_CLASS_MAPPINGS = { + "CLIPTextEncodeLumina2": CLIPTextEncodeLumina2, + "RenormCFG": RenormCFG +} + + +NODE_DISPLAY_NAME_MAPPINGS = { + "CLIPTextEncodeLumina2": "CLIP Text Encode for Lumina2", +} diff --git a/comfy_extras/nodes_mahiro.py b/comfy_extras/nodes_mahiro.py new file mode 100644 index 0000000000000000000000000000000000000000..8fcdfba759f97515e5f64d3a130b0d892005cff2 --- /dev/null +++ b/comfy_extras/nodes_mahiro.py @@ -0,0 +1,41 @@ +import torch +import torch.nn.functional as F + +class Mahiro: + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL",), + }} + RETURN_TYPES = ("MODEL",) + RETURN_NAMES = ("patched_model",) + FUNCTION = "patch" + CATEGORY = "_for_testing" + DESCRIPTION = "Modify the guidance to scale more on the 'direction' of the positive prompt rather than the difference between the negative prompt." + def patch(self, model): + m = model.clone() + def mahiro_normd(args): + scale: float = args['cond_scale'] + cond_p: torch.Tensor = args['cond_denoised'] + uncond_p: torch.Tensor = args['uncond_denoised'] + #naive leap + leap = cond_p * scale + #sim with uncond leap + u_leap = uncond_p * scale + cfg = args["denoised"] + merge = (leap + cfg) / 2 + normu = torch.sqrt(u_leap.abs()) * u_leap.sign() + normm = torch.sqrt(merge.abs()) * merge.sign() + sim = F.cosine_similarity(normu, normm).mean() + simsc = 2 * (sim+1) + wm = (simsc*cfg + (4-simsc)*leap) / 4 + return wm + m.set_model_sampler_post_cfg_function(mahiro_normd) + return (m, ) + +NODE_CLASS_MAPPINGS = { + "Mahiro": Mahiro +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "Mahiro": "Mahiro is so cute that she deserves a better guidance function!! (。・ω・。)", +} diff --git a/comfy_extras/nodes_mask.py b/comfy_extras/nodes_mask.py new file mode 100644 index 0000000000000000000000000000000000000000..2b0f8dd5d72b121532ea1c8b595081210fe4779e --- /dev/null +++ b/comfy_extras/nodes_mask.py @@ -0,0 +1,412 @@ +import numpy as np +import scipy.ndimage +import torch +import comfy.utils +import node_helpers +import folder_paths +import random + +import nodes +from nodes import MAX_RESOLUTION + +def composite(destination, source, x, y, mask = None, multiplier = 8, resize_source = False): + source = source.to(destination.device) + if resize_source: + source = torch.nn.functional.interpolate(source, size=(destination.shape[2], destination.shape[3]), mode="bilinear") + + source = comfy.utils.repeat_to_batch_size(source, destination.shape[0]) + + x = max(-source.shape[3] * multiplier, min(x, destination.shape[3] * multiplier)) + y = max(-source.shape[2] * multiplier, min(y, destination.shape[2] * multiplier)) + + left, top = (x // multiplier, y // multiplier) + right, bottom = (left + source.shape[3], top + source.shape[2],) + + if mask is None: + mask = torch.ones_like(source) + else: + mask = mask.to(destination.device, copy=True) + mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(source.shape[2], source.shape[3]), mode="bilinear") + mask = comfy.utils.repeat_to_batch_size(mask, source.shape[0]) + + # calculate the bounds of the source that will be overlapping the destination + # this prevents the source trying to overwrite latent pixels that are out of bounds + # of the destination + visible_width, visible_height = (destination.shape[3] - left + min(0, x), destination.shape[2] - top + min(0, y),) + + mask = mask[:, :, :visible_height, :visible_width] + inverse_mask = torch.ones_like(mask) - mask + + source_portion = mask * source[:, :, :visible_height, :visible_width] + destination_portion = inverse_mask * destination[:, :, top:bottom, left:right] + + destination[:, :, top:bottom, left:right] = source_portion + destination_portion + return destination + +class LatentCompositeMasked: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "destination": ("LATENT",), + "source": ("LATENT",), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "resize_source": ("BOOLEAN", {"default": False}), + }, + "optional": { + "mask": ("MASK",), + } + } + RETURN_TYPES = ("LATENT",) + FUNCTION = "composite" + + CATEGORY = "latent" + + def composite(self, destination, source, x, y, resize_source, mask = None): + output = destination.copy() + destination = destination["samples"].clone() + source = source["samples"] + output["samples"] = composite(destination, source, x, y, mask, 8, resize_source) + return (output,) + +class ImageCompositeMasked: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "destination": ("IMAGE",), + "source": ("IMAGE",), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "resize_source": ("BOOLEAN", {"default": False}), + }, + "optional": { + "mask": ("MASK",), + } + } + RETURN_TYPES = ("IMAGE",) + FUNCTION = "composite" + + CATEGORY = "image" + + def composite(self, destination, source, x, y, resize_source, mask = None): + destination, source = node_helpers.image_alpha_fix(destination, source) + destination = destination.clone().movedim(-1, 1) + output = composite(destination, source.movedim(-1, 1), x, y, mask, 1, resize_source).movedim(1, -1) + return (output,) + +class MaskToImage: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "mask": ("MASK",), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "mask_to_image" + + def mask_to_image(self, mask): + result = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3) + return (result,) + +class ImageToMask: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "channel": (["red", "green", "blue", "alpha"],), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + FUNCTION = "image_to_mask" + + def image_to_mask(self, image, channel): + channels = ["red", "green", "blue", "alpha"] + mask = image[:, :, :, channels.index(channel)] + return (mask,) + +class ImageColorToMask: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "color": ("INT", {"default": 0, "min": 0, "max": 0xFFFFFF, "step": 1, "display": "color"}), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + FUNCTION = "image_to_mask" + + def image_to_mask(self, image, color): + temp = (torch.clamp(image, 0, 1.0) * 255.0).round().to(torch.int) + temp = torch.bitwise_left_shift(temp[:,:,:,0], 16) + torch.bitwise_left_shift(temp[:,:,:,1], 8) + temp[:,:,:,2] + mask = torch.where(temp == color, 1.0, 0).float() + return (mask,) + +class SolidMask: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + + FUNCTION = "solid" + + def solid(self, value, width, height): + out = torch.full((1, height, width), value, dtype=torch.float32, device="cpu") + return (out,) + +class InvertMask: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "mask": ("MASK",), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + + FUNCTION = "invert" + + def invert(self, mask): + out = 1.0 - mask + return (out,) + +class CropMask: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "mask": ("MASK",), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + + FUNCTION = "crop" + + def crop(self, mask, x, y, width, height): + mask = mask.reshape((-1, mask.shape[-2], mask.shape[-1])) + out = mask[:, y:y + height, x:x + width] + return (out,) + +class MaskComposite: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "destination": ("MASK",), + "source": ("MASK",), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "operation": (["multiply", "add", "subtract", "and", "or", "xor"],), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + + FUNCTION = "combine" + + def combine(self, destination, source, x, y, operation): + output = destination.reshape((-1, destination.shape[-2], destination.shape[-1])).clone() + source = source.reshape((-1, source.shape[-2], source.shape[-1])) + + left, top = (x, y,) + right, bottom = (min(left + source.shape[-1], destination.shape[-1]), min(top + source.shape[-2], destination.shape[-2])) + visible_width, visible_height = (right - left, bottom - top,) + + source_portion = source[:, :visible_height, :visible_width] + destination_portion = output[:, top:bottom, left:right] + + if operation == "multiply": + output[:, top:bottom, left:right] = destination_portion * source_portion + elif operation == "add": + output[:, top:bottom, left:right] = destination_portion + source_portion + elif operation == "subtract": + output[:, top:bottom, left:right] = destination_portion - source_portion + elif operation == "and": + output[:, top:bottom, left:right] = torch.bitwise_and(destination_portion.round().bool(), source_portion.round().bool()).float() + elif operation == "or": + output[:, top:bottom, left:right] = torch.bitwise_or(destination_portion.round().bool(), source_portion.round().bool()).float() + elif operation == "xor": + output[:, top:bottom, left:right] = torch.bitwise_xor(destination_portion.round().bool(), source_portion.round().bool()).float() + + output = torch.clamp(output, 0.0, 1.0) + + return (output,) + +class FeatherMask: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "mask": ("MASK",), + "left": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "top": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "right": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "bottom": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + + FUNCTION = "feather" + + def feather(self, mask, left, top, right, bottom): + output = mask.reshape((-1, mask.shape[-2], mask.shape[-1])).clone() + + left = min(left, output.shape[-1]) + right = min(right, output.shape[-1]) + top = min(top, output.shape[-2]) + bottom = min(bottom, output.shape[-2]) + + for x in range(left): + feather_rate = (x + 1.0) / left + output[:, :, x] *= feather_rate + + for x in range(right): + feather_rate = (x + 1) / right + output[:, :, -x] *= feather_rate + + for y in range(top): + feather_rate = (y + 1) / top + output[:, y, :] *= feather_rate + + for y in range(bottom): + feather_rate = (y + 1) / bottom + output[:, -y, :] *= feather_rate + + return (output,) + +class GrowMask: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "mask": ("MASK",), + "expand": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1}), + "tapered_corners": ("BOOLEAN", {"default": True}), + }, + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + + FUNCTION = "expand_mask" + + def expand_mask(self, mask, expand, tapered_corners): + c = 0 if tapered_corners else 1 + kernel = np.array([[c, 1, c], + [1, 1, 1], + [c, 1, c]]) + mask = mask.reshape((-1, mask.shape[-2], mask.shape[-1])) + out = [] + for m in mask: + output = m.numpy() + for _ in range(abs(expand)): + if expand < 0: + output = scipy.ndimage.grey_erosion(output, footprint=kernel) + else: + output = scipy.ndimage.grey_dilation(output, footprint=kernel) + output = torch.from_numpy(output) + out.append(output) + return (torch.stack(out, dim=0),) + +class ThresholdMask: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "mask": ("MASK",), + "value": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + FUNCTION = "image_to_mask" + + def image_to_mask(self, mask, value): + mask = (mask > value).float() + return (mask,) + +# Mask Preview - original implement from +# https://github.com/cubiq/ComfyUI_essentials/blob/9d9f4bedfc9f0321c19faf71855e228c93bd0dc9/mask.py#L81 +# upstream requested in https://github.com/Kosinkadink/rfcs/blob/main/rfcs/0000-corenodes.md#preview-nodes +class MaskPreview(nodes.SaveImage): + def __init__(self): + self.output_dir = folder_paths.get_temp_directory() + self.type = "temp" + self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5)) + self.compress_level = 4 + + @classmethod + def INPUT_TYPES(s): + return { + "required": {"mask": ("MASK",), }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + FUNCTION = "execute" + CATEGORY = "mask" + + def execute(self, mask, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None): + preview = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3) + return self.save_images(preview, filename_prefix, prompt, extra_pnginfo) + + +NODE_CLASS_MAPPINGS = { + "LatentCompositeMasked": LatentCompositeMasked, + "ImageCompositeMasked": ImageCompositeMasked, + "MaskToImage": MaskToImage, + "ImageToMask": ImageToMask, + "ImageColorToMask": ImageColorToMask, + "SolidMask": SolidMask, + "InvertMask": InvertMask, + "CropMask": CropMask, + "MaskComposite": MaskComposite, + "FeatherMask": FeatherMask, + "GrowMask": GrowMask, + "ThresholdMask": ThresholdMask, + "MaskPreview": MaskPreview +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "ImageToMask": "Convert Image to Mask", + "MaskToImage": "Convert Mask to Image", +} diff --git a/comfy_extras/nodes_mochi.py b/comfy_extras/nodes_mochi.py new file mode 100644 index 0000000000000000000000000000000000000000..1c474faa94eac8dc48f778460c0d833bee94dcf9 --- /dev/null +++ b/comfy_extras/nodes_mochi.py @@ -0,0 +1,23 @@ +import nodes +import torch +import comfy.model_management + +class EmptyMochiLatentVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": { "width": ("INT", {"default": 848, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "height": ("INT", {"default": 480, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "length": ("INT", {"default": 25, "min": 7, "max": nodes.MAX_RESOLUTION, "step": 6}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent/video" + + def generate(self, width, height, length, batch_size=1): + latent = torch.zeros([batch_size, 12, ((length - 1) // 6) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + return ({"samples":latent}, ) + +NODE_CLASS_MAPPINGS = { + "EmptyMochiLatentVideo": EmptyMochiLatentVideo, +} diff --git a/comfy_extras/nodes_model_advanced.py b/comfy_extras/nodes_model_advanced.py new file mode 100644 index 0000000000000000000000000000000000000000..ae5d2c563183262456fd6a9668445b6b798108ac --- /dev/null +++ b/comfy_extras/nodes_model_advanced.py @@ -0,0 +1,329 @@ +import comfy.sd +import comfy.model_sampling +import comfy.latent_formats +import nodes +import torch +import node_helpers + + +class LCM(comfy.model_sampling.EPS): + def calculate_denoised(self, sigma, model_output, model_input): + timestep = self.timestep(sigma).view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1)) + x0 = model_input - model_output * sigma + + sigma_data = 0.5 + scaled_timestep = timestep * 10.0 #timestep_scaling + + c_skip = sigma_data**2 / (scaled_timestep**2 + sigma_data**2) + c_out = scaled_timestep / (scaled_timestep**2 + sigma_data**2) ** 0.5 + + return c_out * x0 + c_skip * model_input + +class ModelSamplingDiscreteDistilled(comfy.model_sampling.ModelSamplingDiscrete): + original_timesteps = 50 + + def __init__(self, model_config=None, zsnr=None): + super().__init__(model_config, zsnr=zsnr) + + self.skip_steps = self.num_timesteps // self.original_timesteps + + sigmas_valid = torch.zeros((self.original_timesteps), dtype=torch.float32) + for x in range(self.original_timesteps): + sigmas_valid[self.original_timesteps - 1 - x] = self.sigmas[self.num_timesteps - 1 - x * self.skip_steps] + + self.set_sigmas(sigmas_valid) + + def timestep(self, sigma): + log_sigma = sigma.log() + dists = log_sigma.to(self.log_sigmas.device) - self.log_sigmas[:, None] + return (dists.abs().argmin(dim=0).view(sigma.shape) * self.skip_steps + (self.skip_steps - 1)).to(sigma.device) + + def sigma(self, timestep): + t = torch.clamp(((timestep.float().to(self.log_sigmas.device) - (self.skip_steps - 1)) / self.skip_steps).float(), min=0, max=(len(self.sigmas) - 1)) + low_idx = t.floor().long() + high_idx = t.ceil().long() + w = t.frac() + log_sigma = (1 - w) * self.log_sigmas[low_idx] + w * self.log_sigmas[high_idx] + return log_sigma.exp().to(timestep.device) + + +class ModelSamplingDiscrete: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "sampling": (["eps", "v_prediction", "lcm", "x0", "img_to_img"],), + "zsnr": ("BOOLEAN", {"default": False}), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, sampling, zsnr): + m = model.clone() + + sampling_base = comfy.model_sampling.ModelSamplingDiscrete + if sampling == "eps": + sampling_type = comfy.model_sampling.EPS + elif sampling == "v_prediction": + sampling_type = comfy.model_sampling.V_PREDICTION + elif sampling == "lcm": + sampling_type = LCM + sampling_base = ModelSamplingDiscreteDistilled + elif sampling == "x0": + sampling_type = comfy.model_sampling.X0 + elif sampling == "img_to_img": + sampling_type = comfy.model_sampling.IMG_TO_IMG + + class ModelSamplingAdvanced(sampling_base, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config, zsnr=zsnr) + + m.add_object_patch("model_sampling", model_sampling) + return (m, ) + +class ModelSamplingStableCascade: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "shift": ("FLOAT", {"default": 2.0, "min": 0.0, "max": 100.0, "step":0.01}), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, shift): + m = model.clone() + + sampling_base = comfy.model_sampling.StableCascadeSampling + sampling_type = comfy.model_sampling.EPS + + class ModelSamplingAdvanced(sampling_base, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config) + model_sampling.set_parameters(shift) + m.add_object_patch("model_sampling", model_sampling) + return (m, ) + +class ModelSamplingSD3: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "shift": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 100.0, "step":0.01}), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, shift, multiplier=1000): + m = model.clone() + + sampling_base = comfy.model_sampling.ModelSamplingDiscreteFlow + sampling_type = comfy.model_sampling.CONST + + class ModelSamplingAdvanced(sampling_base, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config) + model_sampling.set_parameters(shift=shift, multiplier=multiplier) + m.add_object_patch("model_sampling", model_sampling) + return (m, ) + +class ModelSamplingAuraFlow(ModelSamplingSD3): + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "shift": ("FLOAT", {"default": 1.73, "min": 0.0, "max": 100.0, "step":0.01}), + }} + + FUNCTION = "patch_aura" + + def patch_aura(self, model, shift): + return self.patch(model, shift, multiplier=1.0) + +class ModelSamplingFlux: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "max_shift": ("FLOAT", {"default": 1.15, "min": 0.0, "max": 100.0, "step":0.01}), + "base_shift": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 100.0, "step":0.01}), + "width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, max_shift, base_shift, width, height): + m = model.clone() + + x1 = 256 + x2 = 4096 + mm = (max_shift - base_shift) / (x2 - x1) + b = base_shift - mm * x1 + shift = (width * height / (8 * 8 * 2 * 2)) * mm + b + + sampling_base = comfy.model_sampling.ModelSamplingFlux + sampling_type = comfy.model_sampling.CONST + + class ModelSamplingAdvanced(sampling_base, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config) + model_sampling.set_parameters(shift=shift) + m.add_object_patch("model_sampling", model_sampling) + return (m, ) + + +class ModelSamplingContinuousEDM: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "sampling": (["v_prediction", "edm", "edm_playground_v2.5", "eps", "cosmos_rflow"],), + "sigma_max": ("FLOAT", {"default": 120.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}), + "sigma_min": ("FLOAT", {"default": 0.002, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, sampling, sigma_max, sigma_min): + m = model.clone() + + sampling_base = comfy.model_sampling.ModelSamplingContinuousEDM + latent_format = None + sigma_data = 1.0 + if sampling == "eps": + sampling_type = comfy.model_sampling.EPS + elif sampling == "edm": + sampling_type = comfy.model_sampling.EDM + sigma_data = 0.5 + elif sampling == "v_prediction": + sampling_type = comfy.model_sampling.V_PREDICTION + elif sampling == "edm_playground_v2.5": + sampling_type = comfy.model_sampling.EDM + sigma_data = 0.5 + latent_format = comfy.latent_formats.SDXL_Playground_2_5() + elif sampling == "cosmos_rflow": + sampling_type = comfy.model_sampling.COSMOS_RFLOW + sampling_base = comfy.model_sampling.ModelSamplingCosmosRFlow + + class ModelSamplingAdvanced(sampling_base, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config) + model_sampling.set_parameters(sigma_min, sigma_max, sigma_data) + m.add_object_patch("model_sampling", model_sampling) + if latent_format is not None: + m.add_object_patch("latent_format", latent_format) + return (m, ) + +class ModelSamplingContinuousV: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "sampling": (["v_prediction"],), + "sigma_max": ("FLOAT", {"default": 500.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}), + "sigma_min": ("FLOAT", {"default": 0.03, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, sampling, sigma_max, sigma_min): + m = model.clone() + + sigma_data = 1.0 + if sampling == "v_prediction": + sampling_type = comfy.model_sampling.V_PREDICTION + + class ModelSamplingAdvanced(comfy.model_sampling.ModelSamplingContinuousV, sampling_type): + pass + + model_sampling = ModelSamplingAdvanced(model.model.model_config) + model_sampling.set_parameters(sigma_min, sigma_max, sigma_data) + m.add_object_patch("model_sampling", model_sampling) + return (m, ) + +class RescaleCFG: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "multiplier": ("FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/model" + + def patch(self, model, multiplier): + def rescale_cfg(args): + cond = args["cond"] + uncond = args["uncond"] + cond_scale = args["cond_scale"] + sigma = args["sigma"] + sigma = sigma.view(sigma.shape[:1] + (1,) * (cond.ndim - 1)) + x_orig = args["input"] + + #rescale cfg has to be done on v-pred model output + x = x_orig / (sigma * sigma + 1.0) + cond = ((x - (x_orig - cond)) * (sigma ** 2 + 1.0) ** 0.5) / (sigma) + uncond = ((x - (x_orig - uncond)) * (sigma ** 2 + 1.0) ** 0.5) / (sigma) + + #rescalecfg + x_cfg = uncond + cond_scale * (cond - uncond) + ro_pos = torch.std(cond, dim=(1,2,3), keepdim=True) + ro_cfg = torch.std(x_cfg, dim=(1,2,3), keepdim=True) + + x_rescaled = x_cfg * (ro_pos / ro_cfg) + x_final = multiplier * x_rescaled + (1.0 - multiplier) * x_cfg + + return x_orig - (x - x_final * sigma / (sigma * sigma + 1.0) ** 0.5) + + m = model.clone() + m.set_model_sampler_cfg_function(rescale_cfg) + return (m, ) + +class ModelComputeDtype: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "dtype": (["default", "fp32", "fp16", "bf16"],), + }} + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "advanced/debug/model" + + def patch(self, model, dtype): + m = model.clone() + m.set_model_compute_dtype(node_helpers.string_to_torch_dtype(dtype)) + return (m, ) + + +NODE_CLASS_MAPPINGS = { + "ModelSamplingDiscrete": ModelSamplingDiscrete, + "ModelSamplingContinuousEDM": ModelSamplingContinuousEDM, + "ModelSamplingContinuousV": ModelSamplingContinuousV, + "ModelSamplingStableCascade": ModelSamplingStableCascade, + "ModelSamplingSD3": ModelSamplingSD3, + "ModelSamplingAuraFlow": ModelSamplingAuraFlow, + "ModelSamplingFlux": ModelSamplingFlux, + "RescaleCFG": RescaleCFG, + "ModelComputeDtype": ModelComputeDtype, +} diff --git a/comfy_extras/nodes_model_downscale.py b/comfy_extras/nodes_model_downscale.py new file mode 100644 index 0000000000000000000000000000000000000000..49420dee9260ced4e0d08c196be937354c5e1d4e --- /dev/null +++ b/comfy_extras/nodes_model_downscale.py @@ -0,0 +1,53 @@ +import comfy.utils + +class PatchModelAddDownscale: + upscale_methods = ["bicubic", "nearest-exact", "bilinear", "area", "bislerp"] + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "block_number": ("INT", {"default": 3, "min": 1, "max": 32, "step": 1}), + "downscale_factor": ("FLOAT", {"default": 2.0, "min": 0.1, "max": 9.0, "step": 0.001}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 0.35, "min": 0.0, "max": 1.0, "step": 0.001}), + "downscale_after_skip": ("BOOLEAN", {"default": True}), + "downscale_method": (s.upscale_methods,), + "upscale_method": (s.upscale_methods,), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "model_patches/unet" + + def patch(self, model, block_number, downscale_factor, start_percent, end_percent, downscale_after_skip, downscale_method, upscale_method): + model_sampling = model.get_model_object("model_sampling") + sigma_start = model_sampling.percent_to_sigma(start_percent) + sigma_end = model_sampling.percent_to_sigma(end_percent) + + def input_block_patch(h, transformer_options): + if transformer_options["block"][1] == block_number: + sigma = transformer_options["sigmas"][0].item() + if sigma <= sigma_start and sigma >= sigma_end: + h = comfy.utils.common_upscale(h, round(h.shape[-1] * (1.0 / downscale_factor)), round(h.shape[-2] * (1.0 / downscale_factor)), downscale_method, "disabled") + return h + + def output_block_patch(h, hsp, transformer_options): + if h.shape[2] != hsp.shape[2]: + h = comfy.utils.common_upscale(h, hsp.shape[-1], hsp.shape[-2], upscale_method, "disabled") + return h, hsp + + m = model.clone() + if downscale_after_skip: + m.set_model_input_block_patch_after_skip(input_block_patch) + else: + m.set_model_input_block_patch(input_block_patch) + m.set_model_output_block_patch(output_block_patch) + return (m, ) + +NODE_CLASS_MAPPINGS = { + "PatchModelAddDownscale": PatchModelAddDownscale, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + # Sampling + "PatchModelAddDownscale": "PatchModelAddDownscale (Kohya Deep Shrink)", +} diff --git a/comfy_extras/nodes_model_merging.py b/comfy_extras/nodes_model_merging.py new file mode 100644 index 0000000000000000000000000000000000000000..f20beab7d480391cbd4deb2f855a43c18d19ae33 --- /dev/null +++ b/comfy_extras/nodes_model_merging.py @@ -0,0 +1,374 @@ +import comfy.sd +import comfy.utils +import comfy.model_base +import comfy.model_management +import comfy.model_sampling + +import torch +import folder_paths +import json +import os + +from comfy.cli_args import args + +class ModelMergeSimple: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model1": ("MODEL",), + "model2": ("MODEL",), + "ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, model1, model2, ratio): + m = model1.clone() + kp = model2.get_key_patches("diffusion_model.") + for k in kp: + m.add_patches({k: kp[k]}, 1.0 - ratio, ratio) + return (m, ) + +class ModelSubtract: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model1": ("MODEL",), + "model2": ("MODEL",), + "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, model1, model2, multiplier): + m = model1.clone() + kp = model2.get_key_patches("diffusion_model.") + for k in kp: + m.add_patches({k: kp[k]}, - multiplier, multiplier) + return (m, ) + +class ModelAdd: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model1": ("MODEL",), + "model2": ("MODEL",), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, model1, model2): + m = model1.clone() + kp = model2.get_key_patches("diffusion_model.") + for k in kp: + m.add_patches({k: kp[k]}, 1.0, 1.0) + return (m, ) + + +class CLIPMergeSimple: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip1": ("CLIP",), + "clip2": ("CLIP",), + "ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, clip1, clip2, ratio): + m = clip1.clone() + kp = clip2.get_key_patches() + for k in kp: + if k.endswith(".position_ids") or k.endswith(".logit_scale"): + continue + m.add_patches({k: kp[k]}, 1.0 - ratio, ratio) + return (m, ) + + +class CLIPSubtract: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip1": ("CLIP",), + "clip2": ("CLIP",), + "multiplier": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, clip1, clip2, multiplier): + m = clip1.clone() + kp = clip2.get_key_patches() + for k in kp: + if k.endswith(".position_ids") or k.endswith(".logit_scale"): + continue + m.add_patches({k: kp[k]}, - multiplier, multiplier) + return (m, ) + + +class CLIPAdd: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip1": ("CLIP",), + "clip2": ("CLIP",), + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, clip1, clip2): + m = clip1.clone() + kp = clip2.get_key_patches() + for k in kp: + if k.endswith(".position_ids") or k.endswith(".logit_scale"): + continue + m.add_patches({k: kp[k]}, 1.0, 1.0) + return (m, ) + + +class ModelMergeBlocks: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model1": ("MODEL",), + "model2": ("MODEL",), + "input": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "middle": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "out": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "merge" + + CATEGORY = "advanced/model_merging" + + def merge(self, model1, model2, **kwargs): + m = model1.clone() + kp = model2.get_key_patches("diffusion_model.") + default_ratio = next(iter(kwargs.values())) + + for k in kp: + ratio = default_ratio + k_unet = k[len("diffusion_model."):] + + last_arg_size = 0 + for arg in kwargs: + if k_unet.startswith(arg) and last_arg_size < len(arg): + ratio = kwargs[arg] + last_arg_size = len(arg) + + m.add_patches({k: kp[k]}, 1.0 - ratio, ratio) + return (m, ) + +def save_checkpoint(model, clip=None, vae=None, clip_vision=None, filename_prefix=None, output_dir=None, prompt=None, extra_pnginfo=None): + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, output_dir) + prompt_info = "" + if prompt is not None: + prompt_info = json.dumps(prompt) + + metadata = {} + + enable_modelspec = True + if isinstance(model.model, comfy.model_base.SDXL): + if isinstance(model.model, comfy.model_base.SDXL_instructpix2pix): + metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-edit" + else: + metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-base" + elif isinstance(model.model, comfy.model_base.SDXLRefiner): + metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-refiner" + elif isinstance(model.model, comfy.model_base.SVD_img2vid): + metadata["modelspec.architecture"] = "stable-video-diffusion-img2vid-v1" + elif isinstance(model.model, comfy.model_base.SD3): + metadata["modelspec.architecture"] = "stable-diffusion-v3-medium" #TODO: other SD3 variants + else: + enable_modelspec = False + + if enable_modelspec: + metadata["modelspec.sai_model_spec"] = "1.0.0" + metadata["modelspec.implementation"] = "sgm" + metadata["modelspec.title"] = "{} {}".format(filename, counter) + + #TODO: + # "stable-diffusion-v1", "stable-diffusion-v1-inpainting", "stable-diffusion-v2-512", + # "stable-diffusion-v2-768-v", "stable-diffusion-v2-unclip-l", "stable-diffusion-v2-unclip-h", + # "v2-inpainting" + + extra_keys = {} + model_sampling = model.get_model_object("model_sampling") + if isinstance(model_sampling, comfy.model_sampling.ModelSamplingContinuousEDM): + if isinstance(model_sampling, comfy.model_sampling.V_PREDICTION): + extra_keys["edm_vpred.sigma_max"] = torch.tensor(model_sampling.sigma_max).float() + extra_keys["edm_vpred.sigma_min"] = torch.tensor(model_sampling.sigma_min).float() + + if model.model.model_type == comfy.model_base.ModelType.EPS: + metadata["modelspec.predict_key"] = "epsilon" + elif model.model.model_type == comfy.model_base.ModelType.V_PREDICTION: + metadata["modelspec.predict_key"] = "v" + extra_keys["v_pred"] = torch.tensor([]) + if getattr(model_sampling, "zsnr", False): + extra_keys["ztsnr"] = torch.tensor([]) + + if not args.disable_metadata: + metadata["prompt"] = prompt_info + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata[x] = json.dumps(extra_pnginfo[x]) + + output_checkpoint = f"{filename}_{counter:05}_.safetensors" + output_checkpoint = os.path.join(full_output_folder, output_checkpoint) + + comfy.sd.save_checkpoint(output_checkpoint, model, clip, vae, clip_vision, metadata=metadata, extra_keys=extra_keys) + +class CheckpointSave: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "clip": ("CLIP",), + "vae": ("VAE",), + "filename_prefix": ("STRING", {"default": "checkpoints/ComfyUI"}),}, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},} + RETURN_TYPES = () + FUNCTION = "save" + OUTPUT_NODE = True + + CATEGORY = "advanced/model_merging" + + def save(self, model, clip, vae, filename_prefix, prompt=None, extra_pnginfo=None): + save_checkpoint(model, clip=clip, vae=vae, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo) + return {} + +class CLIPSave: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip": ("CLIP",), + "filename_prefix": ("STRING", {"default": "clip/ComfyUI"}),}, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},} + RETURN_TYPES = () + FUNCTION = "save" + OUTPUT_NODE = True + + CATEGORY = "advanced/model_merging" + + def save(self, clip, filename_prefix, prompt=None, extra_pnginfo=None): + prompt_info = "" + if prompt is not None: + prompt_info = json.dumps(prompt) + + metadata = {} + if not args.disable_metadata: + metadata["format"] = "pt" + metadata["prompt"] = prompt_info + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata[x] = json.dumps(extra_pnginfo[x]) + + comfy.model_management.load_models_gpu([clip.load_model()], force_patch_weights=True) + clip_sd = clip.get_sd() + + for prefix in ["clip_l.", "clip_g.", "clip_h.", "t5xxl.", "pile_t5xl.", "mt5xl.", "umt5xxl.", "t5base.", "gemma2_2b.", "llama.", "hydit_clip.", ""]: + k = list(filter(lambda a: a.startswith(prefix), clip_sd.keys())) + current_clip_sd = {} + for x in k: + current_clip_sd[x] = clip_sd.pop(x) + if len(current_clip_sd) == 0: + continue + + p = prefix[:-1] + replace_prefix = {} + filename_prefix_ = filename_prefix + if len(p) > 0: + filename_prefix_ = "{}_{}".format(filename_prefix_, p) + replace_prefix[prefix] = "" + replace_prefix["transformer."] = "" + + full_output_folder, filename, counter, subfolder, filename_prefix_ = folder_paths.get_save_image_path(filename_prefix_, self.output_dir) + + output_checkpoint = f"{filename}_{counter:05}_.safetensors" + output_checkpoint = os.path.join(full_output_folder, output_checkpoint) + + current_clip_sd = comfy.utils.state_dict_prefix_replace(current_clip_sd, replace_prefix) + + comfy.utils.save_torch_file(current_clip_sd, output_checkpoint, metadata=metadata) + return {} + +class VAESave: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return {"required": { "vae": ("VAE",), + "filename_prefix": ("STRING", {"default": "vae/ComfyUI_vae"}),}, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},} + RETURN_TYPES = () + FUNCTION = "save" + OUTPUT_NODE = True + + CATEGORY = "advanced/model_merging" + + def save(self, vae, filename_prefix, prompt=None, extra_pnginfo=None): + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir) + prompt_info = "" + if prompt is not None: + prompt_info = json.dumps(prompt) + + metadata = {} + if not args.disable_metadata: + metadata["prompt"] = prompt_info + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata[x] = json.dumps(extra_pnginfo[x]) + + output_checkpoint = f"{filename}_{counter:05}_.safetensors" + output_checkpoint = os.path.join(full_output_folder, output_checkpoint) + + comfy.utils.save_torch_file(vae.get_sd(), output_checkpoint, metadata=metadata) + return {} + +class ModelSave: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "filename_prefix": ("STRING", {"default": "diffusion_models/ComfyUI"}),}, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},} + RETURN_TYPES = () + FUNCTION = "save" + OUTPUT_NODE = True + + CATEGORY = "advanced/model_merging" + + def save(self, model, filename_prefix, prompt=None, extra_pnginfo=None): + save_checkpoint(model, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo) + return {} + +NODE_CLASS_MAPPINGS = { + "ModelMergeSimple": ModelMergeSimple, + "ModelMergeBlocks": ModelMergeBlocks, + "ModelMergeSubtract": ModelSubtract, + "ModelMergeAdd": ModelAdd, + "CheckpointSave": CheckpointSave, + "CLIPMergeSimple": CLIPMergeSimple, + "CLIPMergeSubtract": CLIPSubtract, + "CLIPMergeAdd": CLIPAdd, + "CLIPSave": CLIPSave, + "VAESave": VAESave, + "ModelSave": ModelSave, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "CheckpointSave": "Save Checkpoint", +} diff --git a/comfy_extras/nodes_model_merging_model_specific.py b/comfy_extras/nodes_model_merging_model_specific.py new file mode 100644 index 0000000000000000000000000000000000000000..55eb3ccfeadd4dd824932503ce244ecedc815f26 --- /dev/null +++ b/comfy_extras/nodes_model_merging_model_specific.py @@ -0,0 +1,356 @@ +import comfy_extras.nodes_model_merging + +class ModelMergeSD1(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["time_embed."] = argument + arg_dict["label_emb."] = argument + + for i in range(12): + arg_dict["input_blocks.{}.".format(i)] = argument + + for i in range(3): + arg_dict["middle_block.{}.".format(i)] = argument + + for i in range(12): + arg_dict["output_blocks.{}.".format(i)] = argument + + arg_dict["out."] = argument + + return {"required": arg_dict} + + +class ModelMergeSDXL(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["time_embed."] = argument + arg_dict["label_emb."] = argument + + for i in range(9): + arg_dict["input_blocks.{}".format(i)] = argument + + for i in range(3): + arg_dict["middle_block.{}".format(i)] = argument + + for i in range(9): + arg_dict["output_blocks.{}".format(i)] = argument + + arg_dict["out."] = argument + + return {"required": arg_dict} + +class ModelMergeSD3_2B(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embed."] = argument + arg_dict["x_embedder."] = argument + arg_dict["context_embedder."] = argument + arg_dict["y_embedder."] = argument + arg_dict["t_embedder."] = argument + + for i in range(24): + arg_dict["joint_blocks.{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + + +class ModelMergeAuraflow(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["init_x_linear."] = argument + arg_dict["positional_encoding"] = argument + arg_dict["cond_seq_linear."] = argument + arg_dict["register_tokens"] = argument + arg_dict["t_embedder."] = argument + + for i in range(4): + arg_dict["double_layers.{}.".format(i)] = argument + + for i in range(32): + arg_dict["single_layers.{}.".format(i)] = argument + + arg_dict["modF."] = argument + arg_dict["final_linear."] = argument + + return {"required": arg_dict} + +class ModelMergeFlux1(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["img_in."] = argument + arg_dict["time_in."] = argument + arg_dict["guidance_in"] = argument + arg_dict["vector_in."] = argument + arg_dict["txt_in."] = argument + + for i in range(19): + arg_dict["double_blocks.{}.".format(i)] = argument + + for i in range(38): + arg_dict["single_blocks.{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeSD35_Large(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embed."] = argument + arg_dict["x_embedder."] = argument + arg_dict["context_embedder."] = argument + arg_dict["y_embedder."] = argument + arg_dict["t_embedder."] = argument + + for i in range(38): + arg_dict["joint_blocks.{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeMochiPreview(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_frequencies."] = argument + arg_dict["t_embedder."] = argument + arg_dict["t5_y_embedder."] = argument + arg_dict["t5_yproj."] = argument + + for i in range(48): + arg_dict["blocks.{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeLTXV(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["patchify_proj."] = argument + arg_dict["adaln_single."] = argument + arg_dict["caption_projection."] = argument + + for i in range(28): + arg_dict["transformer_blocks.{}.".format(i)] = argument + + arg_dict["scale_shift_table"] = argument + arg_dict["proj_out."] = argument + + return {"required": arg_dict} + +class ModelMergeCosmos7B(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embedder."] = argument + arg_dict["extra_pos_embedder."] = argument + arg_dict["x_embedder."] = argument + arg_dict["t_embedder."] = argument + arg_dict["affline_norm."] = argument + + + for i in range(28): + arg_dict["blocks.block{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeCosmos14B(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embedder."] = argument + arg_dict["extra_pos_embedder."] = argument + arg_dict["x_embedder."] = argument + arg_dict["t_embedder."] = argument + arg_dict["affline_norm."] = argument + + + for i in range(36): + arg_dict["blocks.block{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeWAN2_1(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + DESCRIPTION = "1.3B model has 30 blocks, 14B model has 40 blocks. Image to video model has the extra img_emb." + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["patch_embedding."] = argument + arg_dict["time_embedding."] = argument + arg_dict["time_projection."] = argument + arg_dict["text_embedding."] = argument + arg_dict["img_emb."] = argument + + for i in range(40): + arg_dict["blocks.{}.".format(i)] = argument + + arg_dict["head."] = argument + + return {"required": arg_dict} + +class ModelMergeCosmosPredict2_2B(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embedder."] = argument + arg_dict["x_embedder."] = argument + arg_dict["t_embedder."] = argument + arg_dict["t_embedding_norm."] = argument + + + for i in range(28): + arg_dict["blocks.{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeCosmosPredict2_14B(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embedder."] = argument + arg_dict["x_embedder."] = argument + arg_dict["t_embedder."] = argument + arg_dict["t_embedding_norm."] = argument + + + for i in range(36): + arg_dict["blocks.{}.".format(i)] = argument + + arg_dict["final_layer."] = argument + + return {"required": arg_dict} + +class ModelMergeQwenImage(comfy_extras.nodes_model_merging.ModelMergeBlocks): + CATEGORY = "advanced/model_merging/model_specific" + + @classmethod + def INPUT_TYPES(s): + arg_dict = { "model1": ("MODEL",), + "model2": ("MODEL",)} + + argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + + arg_dict["pos_embeds."] = argument + arg_dict["img_in."] = argument + arg_dict["txt_norm."] = argument + arg_dict["txt_in."] = argument + arg_dict["time_text_embed."] = argument + + for i in range(60): + arg_dict["transformer_blocks.{}.".format(i)] = argument + + arg_dict["proj_out."] = argument + + return {"required": arg_dict} + +NODE_CLASS_MAPPINGS = { + "ModelMergeSD1": ModelMergeSD1, + "ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks + "ModelMergeSDXL": ModelMergeSDXL, + "ModelMergeSD3_2B": ModelMergeSD3_2B, + "ModelMergeAuraflow": ModelMergeAuraflow, + "ModelMergeFlux1": ModelMergeFlux1, + "ModelMergeSD35_Large": ModelMergeSD35_Large, + "ModelMergeMochiPreview": ModelMergeMochiPreview, + "ModelMergeLTXV": ModelMergeLTXV, + "ModelMergeCosmos7B": ModelMergeCosmos7B, + "ModelMergeCosmos14B": ModelMergeCosmos14B, + "ModelMergeWAN2_1": ModelMergeWAN2_1, + "ModelMergeCosmosPredict2_2B": ModelMergeCosmosPredict2_2B, + "ModelMergeCosmosPredict2_14B": ModelMergeCosmosPredict2_14B, + "ModelMergeQwenImage": ModelMergeQwenImage, +} diff --git a/comfy_extras/nodes_model_patch.py b/comfy_extras/nodes_model_patch.py new file mode 100644 index 0000000000000000000000000000000000000000..783c59b6b249647ae74c860980fb6c25443ddd03 --- /dev/null +++ b/comfy_extras/nodes_model_patch.py @@ -0,0 +1,343 @@ +import torch +from torch import nn +import folder_paths +import comfy.utils +import comfy.ops +import comfy.model_management +import comfy.ldm.common_dit +import comfy.latent_formats + + +class BlockWiseControlBlock(torch.nn.Module): + # [linear, gelu, linear] + def __init__(self, dim: int = 3072, device=None, dtype=None, operations=None): + super().__init__() + self.x_rms = operations.RMSNorm(dim, eps=1e-6) + self.y_rms = operations.RMSNorm(dim, eps=1e-6) + self.input_proj = operations.Linear(dim, dim) + self.act = torch.nn.GELU() + self.output_proj = operations.Linear(dim, dim) + + def forward(self, x, y): + x, y = self.x_rms(x), self.y_rms(y) + x = self.input_proj(x + y) + x = self.act(x) + x = self.output_proj(x) + return x + + +class QwenImageBlockWiseControlNet(torch.nn.Module): + def __init__( + self, + num_layers: int = 60, + in_dim: int = 64, + additional_in_dim: int = 0, + dim: int = 3072, + device=None, dtype=None, operations=None + ): + super().__init__() + self.additional_in_dim = additional_in_dim + self.img_in = operations.Linear(in_dim + additional_in_dim, dim, device=device, dtype=dtype) + self.controlnet_blocks = torch.nn.ModuleList( + [ + BlockWiseControlBlock(dim, device=device, dtype=dtype, operations=operations) + for _ in range(num_layers) + ] + ) + + def process_input_latent_image(self, latent_image): + latent_image[:, :16] = comfy.latent_formats.Wan21().process_in(latent_image[:, :16]) + patch_size = 2 + hidden_states = comfy.ldm.common_dit.pad_to_patch_size(latent_image, (1, patch_size, patch_size)) + orig_shape = hidden_states.shape + hidden_states = hidden_states.view(orig_shape[0], orig_shape[1], orig_shape[-2] // 2, 2, orig_shape[-1] // 2, 2) + hidden_states = hidden_states.permute(0, 2, 4, 1, 3, 5) + hidden_states = hidden_states.reshape(orig_shape[0], (orig_shape[-2] // 2) * (orig_shape[-1] // 2), orig_shape[1] * 4) + return self.img_in(hidden_states) + + def control_block(self, img, controlnet_conditioning, block_id): + return self.controlnet_blocks[block_id](img, controlnet_conditioning) + + +class SigLIPMultiFeatProjModel(torch.nn.Module): + """ + SigLIP Multi-Feature Projection Model for processing style features from different layers + and projecting them into a unified hidden space. + + Args: + siglip_token_nums (int): Number of SigLIP tokens, default 257 + style_token_nums (int): Number of style tokens, default 256 + siglip_token_dims (int): Dimension of SigLIP tokens, default 1536 + hidden_size (int): Hidden layer size, default 3072 + context_layer_norm (bool): Whether to use context layer normalization, default False + """ + + def __init__( + self, + siglip_token_nums: int = 729, + style_token_nums: int = 64, + siglip_token_dims: int = 1152, + hidden_size: int = 3072, + context_layer_norm: bool = True, + device=None, dtype=None, operations=None + ): + super().__init__() + + # High-level feature processing (layer -2) + self.high_embedding_linear = nn.Sequential( + operations.Linear(siglip_token_nums, style_token_nums), + nn.SiLU() + ) + self.high_layer_norm = ( + operations.LayerNorm(siglip_token_dims) if context_layer_norm else nn.Identity() + ) + self.high_projection = operations.Linear(siglip_token_dims, hidden_size, bias=True) + + # Mid-level feature processing (layer -11) + self.mid_embedding_linear = nn.Sequential( + operations.Linear(siglip_token_nums, style_token_nums), + nn.SiLU() + ) + self.mid_layer_norm = ( + operations.LayerNorm(siglip_token_dims) if context_layer_norm else nn.Identity() + ) + self.mid_projection = operations.Linear(siglip_token_dims, hidden_size, bias=True) + + # Low-level feature processing (layer -20) + self.low_embedding_linear = nn.Sequential( + operations.Linear(siglip_token_nums, style_token_nums), + nn.SiLU() + ) + self.low_layer_norm = ( + operations.LayerNorm(siglip_token_dims) if context_layer_norm else nn.Identity() + ) + self.low_projection = operations.Linear(siglip_token_dims, hidden_size, bias=True) + + def forward(self, siglip_outputs): + """ + Forward pass function + + Args: + siglip_outputs: Output from SigLIP model, containing hidden_states + + Returns: + torch.Tensor: Concatenated multi-layer features with shape [bs, 3*style_token_nums, hidden_size] + """ + dtype = next(self.high_embedding_linear.parameters()).dtype + + # Process high-level features (layer -2) + high_embedding = self._process_layer_features( + siglip_outputs[2], + self.high_embedding_linear, + self.high_layer_norm, + self.high_projection, + dtype + ) + + # Process mid-level features (layer -11) + mid_embedding = self._process_layer_features( + siglip_outputs[1], + self.mid_embedding_linear, + self.mid_layer_norm, + self.mid_projection, + dtype + ) + + # Process low-level features (layer -20) + low_embedding = self._process_layer_features( + siglip_outputs[0], + self.low_embedding_linear, + self.low_layer_norm, + self.low_projection, + dtype + ) + + # Concatenate features from all layersmodel_patch + return torch.cat((high_embedding, mid_embedding, low_embedding), dim=1) + + def _process_layer_features( + self, + hidden_states: torch.Tensor, + embedding_linear: nn.Module, + layer_norm: nn.Module, + projection: nn.Module, + dtype: torch.dtype + ) -> torch.Tensor: + """ + Helper function to process features from a single layer + + Args: + hidden_states: Input hidden states [bs, seq_len, dim] + embedding_linear: Embedding linear layer + layer_norm: Layer normalization + projection: Projection layer + dtype: Target data type + + Returns: + torch.Tensor: Processed features [bs, style_token_nums, hidden_size] + """ + # Transform dimensions: [bs, seq_len, dim] -> [bs, dim, seq_len] -> [bs, dim, style_token_nums] -> [bs, style_token_nums, dim] + embedding = embedding_linear( + hidden_states.to(dtype).transpose(1, 2) + ).transpose(1, 2) + + # Apply layer normalization + embedding = layer_norm(embedding) + + # Project to target hidden space + embedding = projection(embedding) + + return embedding + +class ModelPatchLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "name": (folder_paths.get_filename_list("model_patches"), ), + }} + RETURN_TYPES = ("MODEL_PATCH",) + FUNCTION = "load_model_patch" + EXPERIMENTAL = True + + CATEGORY = "advanced/loaders" + + def load_model_patch(self, name): + model_patch_path = folder_paths.get_full_path_or_raise("model_patches", name) + sd = comfy.utils.load_torch_file(model_patch_path, safe_load=True) + dtype = comfy.utils.weight_dtype(sd) + + if 'controlnet_blocks.0.y_rms.weight' in sd: + additional_in_dim = sd["img_in.weight"].shape[1] - 64 + model = QwenImageBlockWiseControlNet(additional_in_dim=additional_in_dim, device=comfy.model_management.unet_offload_device(), dtype=dtype, operations=comfy.ops.manual_cast) + elif 'feature_embedder.mid_layer_norm.bias' in sd: + sd = comfy.utils.state_dict_prefix_replace(sd, {"feature_embedder.": ""}, filter_keys=True) + model = SigLIPMultiFeatProjModel(device=comfy.model_management.unet_offload_device(), dtype=dtype, operations=comfy.ops.manual_cast) + + model.load_state_dict(sd) + model = comfy.model_patcher.ModelPatcher(model, load_device=comfy.model_management.get_torch_device(), offload_device=comfy.model_management.unet_offload_device()) + return (model,) + + +class DiffSynthCnetPatch: + def __init__(self, model_patch, vae, image, strength, mask=None): + self.model_patch = model_patch + self.vae = vae + self.image = image + self.strength = strength + self.mask = mask + self.encoded_image = model_patch.model.process_input_latent_image(self.encode_latent_cond(image)) + self.encoded_image_size = (image.shape[1], image.shape[2]) + + def encode_latent_cond(self, image): + latent_image = self.vae.encode(image) + if self.model_patch.model.additional_in_dim > 0: + if self.mask is None: + mask_ = torch.ones_like(latent_image)[:, :self.model_patch.model.additional_in_dim // 4] + else: + mask_ = comfy.utils.common_upscale(self.mask.mean(dim=1, keepdim=True), latent_image.shape[-1], latent_image.shape[-2], "bilinear", "none") + + return torch.cat([latent_image, mask_], dim=1) + else: + return latent_image + + def __call__(self, kwargs): + x = kwargs.get("x") + img = kwargs.get("img") + block_index = kwargs.get("block_index") + spacial_compression = self.vae.spacial_compression_encode() + if self.encoded_image is None or self.encoded_image_size != (x.shape[-2] * spacial_compression, x.shape[-1] * spacial_compression): + image_scaled = comfy.utils.common_upscale(self.image.movedim(-1, 1), x.shape[-1] * spacial_compression, x.shape[-2] * spacial_compression, "area", "center") + loaded_models = comfy.model_management.loaded_models(only_currently_used=True) + self.encoded_image = self.model_patch.model.process_input_latent_image(self.encode_latent_cond(image_scaled.movedim(1, -1))) + self.encoded_image_size = (image_scaled.shape[-2], image_scaled.shape[-1]) + comfy.model_management.load_models_gpu(loaded_models) + + img[:, :self.encoded_image.shape[1]] += (self.model_patch.model.control_block(img[:, :self.encoded_image.shape[1]], self.encoded_image.to(img.dtype), block_index) * self.strength) + kwargs['img'] = img + return kwargs + + def to(self, device_or_dtype): + if isinstance(device_or_dtype, torch.device): + self.encoded_image = self.encoded_image.to(device_or_dtype) + return self + + def models(self): + return [self.model_patch] + +class QwenImageDiffsynthControlnet: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "model_patch": ("MODEL_PATCH",), + "vae": ("VAE",), + "image": ("IMAGE",), + "strength": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}), + }, + "optional": {"mask": ("MASK",)}} + RETURN_TYPES = ("MODEL",) + FUNCTION = "diffsynth_controlnet" + EXPERIMENTAL = True + + CATEGORY = "advanced/loaders/qwen" + + def diffsynth_controlnet(self, model, model_patch, vae, image, strength, mask=None): + model_patched = model.clone() + image = image[:, :, :, :3] + if mask is not None: + if mask.ndim == 3: + mask = mask.unsqueeze(1) + if mask.ndim == 4: + mask = mask.unsqueeze(2) + mask = 1.0 - mask + + model_patched.set_model_double_block_patch(DiffSynthCnetPatch(model_patch, vae, image, strength, mask)) + return (model_patched,) + + +class UsoStyleProjectorPatch: + def __init__(self, model_patch, encoded_image): + self.model_patch = model_patch + self.encoded_image = encoded_image + + def __call__(self, kwargs): + txt_ids = kwargs.get("txt_ids") + txt = kwargs.get("txt") + siglip_embedding = self.model_patch.model(self.encoded_image.to(txt.dtype)).to(txt.dtype) + txt = torch.cat([siglip_embedding, txt], dim=1) + kwargs['txt'] = txt + kwargs['txt_ids'] = torch.cat([torch.zeros(siglip_embedding.shape[0], siglip_embedding.shape[1], 3, dtype=txt_ids.dtype, device=txt_ids.device), txt_ids], dim=1) + return kwargs + + def to(self, device_or_dtype): + if isinstance(device_or_dtype, torch.device): + self.encoded_image = self.encoded_image.to(device_or_dtype) + return self + + def models(self): + return [self.model_patch] + + +class USOStyleReference: + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL",), + "model_patch": ("MODEL_PATCH",), + "clip_vision_output": ("CLIP_VISION_OUTPUT", ), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "apply_patch" + EXPERIMENTAL = True + + CATEGORY = "advanced/model_patches/flux" + + def apply_patch(self, model, model_patch, clip_vision_output): + encoded_image = torch.stack((clip_vision_output.all_hidden_states[:, -20], clip_vision_output.all_hidden_states[:, -11], clip_vision_output.penultimate_hidden_states)) + model_patched = model.clone() + model_patched.set_model_post_input_patch(UsoStyleProjectorPatch(model_patch, encoded_image)) + return (model_patched,) + + +NODE_CLASS_MAPPINGS = { + "ModelPatchLoader": ModelPatchLoader, + "QwenImageDiffsynthControlnet": QwenImageDiffsynthControlnet, + "USOStyleReference": USOStyleReference, +} diff --git a/comfy_extras/nodes_morphology.py b/comfy_extras/nodes_morphology.py new file mode 100644 index 0000000000000000000000000000000000000000..075b26c4024bccb510b9052f40f51eb88382ab30 --- /dev/null +++ b/comfy_extras/nodes_morphology.py @@ -0,0 +1,87 @@ +import torch +import comfy.model_management + +from kornia.morphology import dilation, erosion, opening, closing, gradient, top_hat, bottom_hat +import kornia.color + + +class Morphology: + @classmethod + def INPUT_TYPES(s): + return {"required": {"image": ("IMAGE",), + "operation": (["erode", "dilate", "open", "close", "gradient", "bottom_hat", "top_hat"],), + "kernel_size": ("INT", {"default": 3, "min": 3, "max": 999, "step": 1}), + }} + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "process" + + CATEGORY = "image/postprocessing" + + def process(self, image, operation, kernel_size): + device = comfy.model_management.get_torch_device() + kernel = torch.ones(kernel_size, kernel_size, device=device) + image_k = image.to(device).movedim(-1, 1) + if operation == "erode": + output = erosion(image_k, kernel) + elif operation == "dilate": + output = dilation(image_k, kernel) + elif operation == "open": + output = opening(image_k, kernel) + elif operation == "close": + output = closing(image_k, kernel) + elif operation == "gradient": + output = gradient(image_k, kernel) + elif operation == "top_hat": + output = top_hat(image_k, kernel) + elif operation == "bottom_hat": + output = bottom_hat(image_k, kernel) + else: + raise ValueError(f"Invalid operation {operation} for morphology. Must be one of 'erode', 'dilate', 'open', 'close', 'gradient', 'tophat', 'bottomhat'") + img_out = output.to(comfy.model_management.intermediate_device()).movedim(1, -1) + return (img_out,) + + +class ImageRGBToYUV: + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), + }} + + RETURN_TYPES = ("IMAGE", "IMAGE", "IMAGE") + RETURN_NAMES = ("Y", "U", "V") + FUNCTION = "execute" + + CATEGORY = "image/batch" + + def execute(self, image): + out = kornia.color.rgb_to_ycbcr(image.movedim(-1, 1)).movedim(1, -1) + return (out[..., 0:1].expand_as(image), out[..., 1:2].expand_as(image), out[..., 2:3].expand_as(image)) + +class ImageYUVToRGB: + @classmethod + def INPUT_TYPES(s): + return {"required": {"Y": ("IMAGE",), + "U": ("IMAGE",), + "V": ("IMAGE",), + }} + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "execute" + + CATEGORY = "image/batch" + + def execute(self, Y, U, V): + image = torch.cat([torch.mean(Y, dim=-1, keepdim=True), torch.mean(U, dim=-1, keepdim=True), torch.mean(V, dim=-1, keepdim=True)], dim=-1) + out = kornia.color.ycbcr_to_rgb(image.movedim(-1, 1)).movedim(1, -1) + return (out,) + +NODE_CLASS_MAPPINGS = { + "Morphology": Morphology, + "ImageRGBToYUV": ImageRGBToYUV, + "ImageYUVToRGB": ImageYUVToRGB, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "Morphology": "ImageMorphology", +} diff --git a/comfy_extras/nodes_optimalsteps.py b/comfy_extras/nodes_optimalsteps.py new file mode 100644 index 0000000000000000000000000000000000000000..e7c851ca211c923f48506fd01f5a643f60dfaf62 --- /dev/null +++ b/comfy_extras/nodes_optimalsteps.py @@ -0,0 +1,57 @@ +# from https://github.com/bebebe666/OptimalSteps + + +import numpy as np +import torch + +def loglinear_interp(t_steps, num_steps): + """ + Performs log-linear interpolation of a given array of decreasing numbers. + """ + xs = np.linspace(0, 1, len(t_steps)) + ys = np.log(t_steps[::-1]) + + new_xs = np.linspace(0, 1, num_steps) + new_ys = np.interp(new_xs, xs, ys) + + interped_ys = np.exp(new_ys)[::-1].copy() + return interped_ys + + +NOISE_LEVELS = {"FLUX": [0.9968, 0.9886, 0.9819, 0.975, 0.966, 0.9471, 0.9158, 0.8287, 0.5512, 0.2808, 0.001], +"Wan":[1.0, 0.997, 0.995, 0.993, 0.991, 0.989, 0.987, 0.985, 0.98, 0.975, 0.973, 0.968, 0.96, 0.946, 0.927, 0.902, 0.864, 0.776, 0.539, 0.208, 0.001], +"Chroma": [0.992, 0.99, 0.988, 0.985, 0.982, 0.978, 0.973, 0.968, 0.961, 0.953, 0.943, 0.931, 0.917, 0.9, 0.881, 0.858, 0.832, 0.802, 0.769, 0.731, 0.69, 0.646, 0.599, 0.55, 0.501, 0.451, 0.402, 0.355, 0.311, 0.27, 0.232, 0.199, 0.169, 0.143, 0.12, 0.101, 0.084, 0.07, 0.058, 0.048, 0.001], +} + +class OptimalStepsScheduler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model_type": (["FLUX", "Wan", "Chroma"], ), + "steps": ("INT", {"default": 20, "min": 3, "max": 1000}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + RETURN_TYPES = ("SIGMAS",) + CATEGORY = "sampling/custom_sampling/schedulers" + + FUNCTION = "get_sigmas" + + def get_sigmas(self, model_type, steps, denoise): + total_steps = steps + if denoise < 1.0: + if denoise <= 0.0: + return (torch.FloatTensor([]),) + total_steps = round(steps * denoise) + + sigmas = NOISE_LEVELS[model_type][:] + if (steps + 1) != len(sigmas): + sigmas = loglinear_interp(sigmas, steps + 1) + + sigmas = sigmas[-(total_steps + 1):] + sigmas[-1] = 0 + return (torch.FloatTensor(sigmas), ) + +NODE_CLASS_MAPPINGS = { + "OptimalStepsScheduler": OptimalStepsScheduler, +} diff --git a/comfy_extras/nodes_pag.py b/comfy_extras/nodes_pag.py new file mode 100644 index 0000000000000000000000000000000000000000..eb28196f41c56fd45fda051a42d0814b96558fb8 --- /dev/null +++ b/comfy_extras/nodes_pag.py @@ -0,0 +1,56 @@ +#Modified/simplified version of the node from: https://github.com/pamparamm/sd-perturbed-attention +#If you want the one with more options see the above repo. + +#My modified one here is more basic but has less chances of breaking with ComfyUI updates. + +import comfy.model_patcher +import comfy.samplers + +class PerturbedAttentionGuidance: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL",), + "scale": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 100.0, "step": 0.01, "round": 0.01}), + } + } + + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "model_patches/unet" + + def patch(self, model, scale): + unet_block = "middle" + unet_block_id = 0 + m = model.clone() + + def perturbed_attention(q, k, v, extra_options, mask=None): + return v + + def post_cfg_function(args): + model = args["model"] + cond_pred = args["cond_denoised"] + cond = args["cond"] + cfg_result = args["denoised"] + sigma = args["sigma"] + model_options = args["model_options"].copy() + x = args["input"] + + if scale == 0: + return cfg_result + + # Replace Self-attention with PAG + model_options = comfy.model_patcher.set_model_options_patch_replace(model_options, perturbed_attention, "attn1", unet_block, unet_block_id) + (pag,) = comfy.samplers.calc_cond_batch(model, [cond], x, sigma, model_options) + + return cfg_result + (cond_pred - pag) * scale + + m.set_model_sampler_post_cfg_function(post_cfg_function) + + return (m,) + +NODE_CLASS_MAPPINGS = { + "PerturbedAttentionGuidance": PerturbedAttentionGuidance, +} diff --git a/comfy_extras/nodes_perpneg.py b/comfy_extras/nodes_perpneg.py new file mode 100644 index 0000000000000000000000000000000000000000..89e5eef905ac5a417b850da7c2f5693915117ec5 --- /dev/null +++ b/comfy_extras/nodes_perpneg.py @@ -0,0 +1,146 @@ +import torch +import comfy.model_management +import comfy.sampler_helpers +import comfy.samplers +import comfy.utils +import node_helpers +import math + +def perp_neg(x, noise_pred_pos, noise_pred_neg, noise_pred_nocond, neg_scale, cond_scale): + pos = noise_pred_pos - noise_pred_nocond + neg = noise_pred_neg - noise_pred_nocond + + perp = neg - ((torch.mul(neg, pos).sum())/(torch.norm(pos)**2)) * pos + perp_neg = perp * neg_scale + cfg_result = noise_pred_nocond + cond_scale*(pos - perp_neg) + return cfg_result + +#TODO: This node should be removed, it has been replaced with PerpNegGuider +class PerpNeg: + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL", ), + "empty_conditioning": ("CONDITIONING", ), + "neg_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "_for_testing" + DEPRECATED = True + + def patch(self, model, empty_conditioning, neg_scale): + m = model.clone() + nocond = comfy.sampler_helpers.convert_cond(empty_conditioning) + + def cfg_function(args): + model = args["model"] + noise_pred_pos = args["cond_denoised"] + noise_pred_neg = args["uncond_denoised"] + cond_scale = args["cond_scale"] + x = args["input"] + sigma = args["sigma"] + model_options = args["model_options"] + nocond_processed = comfy.samplers.encode_model_conds(model.extra_conds, nocond, x, x.device, "negative") + + (noise_pred_nocond,) = comfy.samplers.calc_cond_batch(model, [nocond_processed], x, sigma, model_options) + + cfg_result = x - perp_neg(x, noise_pred_pos, noise_pred_neg, noise_pred_nocond, neg_scale, cond_scale) + return cfg_result + + m.set_model_sampler_cfg_function(cfg_function) + + return (m, ) + + +class Guider_PerpNeg(comfy.samplers.CFGGuider): + def set_conds(self, positive, negative, empty_negative_prompt): + empty_negative_prompt = node_helpers.conditioning_set_values(empty_negative_prompt, {"prompt_type": "negative"}) + self.inner_set_conds({"positive": positive, "empty_negative_prompt": empty_negative_prompt, "negative": negative}) + + def set_cfg(self, cfg, neg_scale): + self.cfg = cfg + self.neg_scale = neg_scale + + def predict_noise(self, x, timestep, model_options={}, seed=None): + # in CFGGuider.predict_noise, we call sampling_function(), which uses cfg_function() to compute pos & neg + # but we'd rather do a single batch of sampling pos, neg, and empty, so we call calc_cond_batch([pos,neg,empty]) directly + + positive_cond = self.conds.get("positive", None) + negative_cond = self.conds.get("negative", None) + empty_cond = self.conds.get("empty_negative_prompt", None) + + if model_options.get("disable_cfg1_optimization", False) == False: + if math.isclose(self.neg_scale, 0.0): + negative_cond = None + if math.isclose(self.cfg, 1.0): + empty_cond = None + + conds = [positive_cond, negative_cond, empty_cond] + + out = comfy.samplers.calc_cond_batch(self.inner_model, conds, x, timestep, model_options) + + # Apply pre_cfg_functions since sampling_function() is skipped + for fn in model_options.get("sampler_pre_cfg_function", []): + args = {"conds":conds, "conds_out": out, "cond_scale": self.cfg, "timestep": timestep, + "input": x, "sigma": timestep, "model": self.inner_model, "model_options": model_options} + out = fn(args) + + noise_pred_pos, noise_pred_neg, noise_pred_empty = out + cfg_result = perp_neg(x, noise_pred_pos, noise_pred_neg, noise_pred_empty, self.neg_scale, self.cfg) + + # normally this would be done in cfg_function, but we skipped + # that for efficiency: we can compute the noise predictions in + # a single call to calc_cond_batch() (rather than two) + # so we replicate the hook here + for fn in model_options.get("sampler_post_cfg_function", []): + args = { + "denoised": cfg_result, + "cond": positive_cond, + "uncond": negative_cond, + "cond_scale": self.cfg, + "model": self.inner_model, + "uncond_denoised": noise_pred_neg, + "cond_denoised": noise_pred_pos, + "sigma": timestep, + "model_options": model_options, + "input": x, + # not in the original call in samplers.py:cfg_function, but made available for future hooks + "empty_cond": empty_cond, + "empty_cond_denoised": noise_pred_empty,} + cfg_result = fn(args) + + return cfg_result + +class PerpNegGuider: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "empty_conditioning": ("CONDITIONING", ), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}), + "neg_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step": 0.01}), + } + } + + RETURN_TYPES = ("GUIDER",) + + FUNCTION = "get_guider" + CATEGORY = "_for_testing" + + def get_guider(self, model, positive, negative, empty_conditioning, cfg, neg_scale): + guider = Guider_PerpNeg(model) + guider.set_conds(positive, negative, empty_conditioning) + guider.set_cfg(cfg, neg_scale) + return (guider,) + +NODE_CLASS_MAPPINGS = { + "PerpNeg": PerpNeg, + "PerpNegGuider": PerpNegGuider, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "PerpNeg": "Perp-Neg (DEPRECATED by PerpNegGuider)", +} diff --git a/comfy_extras/nodes_photomaker.py b/comfy_extras/nodes_photomaker.py new file mode 100644 index 0000000000000000000000000000000000000000..d358ed6d5b75a37f9195e1f0c663a188eb8aedc3 --- /dev/null +++ b/comfy_extras/nodes_photomaker.py @@ -0,0 +1,188 @@ +import torch +import torch.nn as nn +import folder_paths +import comfy.clip_model +import comfy.clip_vision +import comfy.ops + +# code for model from: https://github.com/TencentARC/PhotoMaker/blob/main/photomaker/model.py under Apache License Version 2.0 +VISION_CONFIG_DICT = { + "hidden_size": 1024, + "image_size": 224, + "intermediate_size": 4096, + "num_attention_heads": 16, + "num_channels": 3, + "num_hidden_layers": 24, + "patch_size": 14, + "projection_dim": 768, + "hidden_act": "quick_gelu", + "model_type": "clip_vision_model", +} + +class MLP(nn.Module): + def __init__(self, in_dim, out_dim, hidden_dim, use_residual=True, operations=comfy.ops): + super().__init__() + if use_residual: + assert in_dim == out_dim + self.layernorm = operations.LayerNorm(in_dim) + self.fc1 = operations.Linear(in_dim, hidden_dim) + self.fc2 = operations.Linear(hidden_dim, out_dim) + self.use_residual = use_residual + self.act_fn = nn.GELU() + + def forward(self, x): + residual = x + x = self.layernorm(x) + x = self.fc1(x) + x = self.act_fn(x) + x = self.fc2(x) + if self.use_residual: + x = x + residual + return x + + +class FuseModule(nn.Module): + def __init__(self, embed_dim, operations): + super().__init__() + self.mlp1 = MLP(embed_dim * 2, embed_dim, embed_dim, use_residual=False, operations=operations) + self.mlp2 = MLP(embed_dim, embed_dim, embed_dim, use_residual=True, operations=operations) + self.layer_norm = operations.LayerNorm(embed_dim) + + def fuse_fn(self, prompt_embeds, id_embeds): + stacked_id_embeds = torch.cat([prompt_embeds, id_embeds], dim=-1) + stacked_id_embeds = self.mlp1(stacked_id_embeds) + prompt_embeds + stacked_id_embeds = self.mlp2(stacked_id_embeds) + stacked_id_embeds = self.layer_norm(stacked_id_embeds) + return stacked_id_embeds + + def forward( + self, + prompt_embeds, + id_embeds, + class_tokens_mask, + ) -> torch.Tensor: + # id_embeds shape: [b, max_num_inputs, 1, 2048] + id_embeds = id_embeds.to(prompt_embeds.dtype) + num_inputs = class_tokens_mask.sum().unsqueeze(0) # TODO: check for training case + batch_size, max_num_inputs = id_embeds.shape[:2] + # seq_length: 77 + seq_length = prompt_embeds.shape[1] + # flat_id_embeds shape: [b*max_num_inputs, 1, 2048] + flat_id_embeds = id_embeds.view( + -1, id_embeds.shape[-2], id_embeds.shape[-1] + ) + # valid_id_mask [b*max_num_inputs] + valid_id_mask = ( + torch.arange(max_num_inputs, device=flat_id_embeds.device)[None, :] + < num_inputs[:, None] + ) + valid_id_embeds = flat_id_embeds[valid_id_mask.flatten()] + + prompt_embeds = prompt_embeds.view(-1, prompt_embeds.shape[-1]) + class_tokens_mask = class_tokens_mask.view(-1) + valid_id_embeds = valid_id_embeds.view(-1, valid_id_embeds.shape[-1]) + # slice out the image token embeddings + image_token_embeds = prompt_embeds[class_tokens_mask] + stacked_id_embeds = self.fuse_fn(image_token_embeds, valid_id_embeds) + assert class_tokens_mask.sum() == stacked_id_embeds.shape[0], f"{class_tokens_mask.sum()} != {stacked_id_embeds.shape[0]}" + prompt_embeds.masked_scatter_(class_tokens_mask[:, None], stacked_id_embeds.to(prompt_embeds.dtype)) + updated_prompt_embeds = prompt_embeds.view(batch_size, seq_length, -1) + return updated_prompt_embeds + +class PhotoMakerIDEncoder(comfy.clip_model.CLIPVisionModelProjection): + def __init__(self): + self.load_device = comfy.model_management.text_encoder_device() + offload_device = comfy.model_management.text_encoder_offload_device() + dtype = comfy.model_management.text_encoder_dtype(self.load_device) + + super().__init__(VISION_CONFIG_DICT, dtype, offload_device, comfy.ops.manual_cast) + self.visual_projection_2 = comfy.ops.manual_cast.Linear(1024, 1280, bias=False) + self.fuse_module = FuseModule(2048, comfy.ops.manual_cast) + + def forward(self, id_pixel_values, prompt_embeds, class_tokens_mask): + b, num_inputs, c, h, w = id_pixel_values.shape + id_pixel_values = id_pixel_values.view(b * num_inputs, c, h, w) + + shared_id_embeds = self.vision_model(id_pixel_values)[2] + id_embeds = self.visual_projection(shared_id_embeds) + id_embeds_2 = self.visual_projection_2(shared_id_embeds) + + id_embeds = id_embeds.view(b, num_inputs, 1, -1) + id_embeds_2 = id_embeds_2.view(b, num_inputs, 1, -1) + + id_embeds = torch.cat((id_embeds, id_embeds_2), dim=-1) + updated_prompt_embeds = self.fuse_module(prompt_embeds, id_embeds, class_tokens_mask) + + return updated_prompt_embeds + + +class PhotoMakerLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "photomaker_model_name": (folder_paths.get_filename_list("photomaker"), )}} + + RETURN_TYPES = ("PHOTOMAKER",) + FUNCTION = "load_photomaker_model" + + CATEGORY = "_for_testing/photomaker" + + def load_photomaker_model(self, photomaker_model_name): + photomaker_model_path = folder_paths.get_full_path_or_raise("photomaker", photomaker_model_name) + photomaker_model = PhotoMakerIDEncoder() + data = comfy.utils.load_torch_file(photomaker_model_path, safe_load=True) + if "id_encoder" in data: + data = data["id_encoder"] + photomaker_model.load_state_dict(data) + return (photomaker_model,) + + +class PhotoMakerEncode: + @classmethod + def INPUT_TYPES(s): + return {"required": { "photomaker": ("PHOTOMAKER",), + "image": ("IMAGE",), + "clip": ("CLIP", ), + "text": ("STRING", {"multiline": True, "dynamicPrompts": True, "default": "photograph of photomaker"}), + }} + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "apply_photomaker" + + CATEGORY = "_for_testing/photomaker" + + def apply_photomaker(self, photomaker, image, clip, text): + special_token = "photomaker" + pixel_values = comfy.clip_vision.clip_preprocess(image.to(photomaker.load_device)).float() + try: + index = text.split(" ").index(special_token) + 1 + except ValueError: + index = -1 + tokens = clip.tokenize(text, return_word_ids=True) + out_tokens = {} + for k in tokens: + out_tokens[k] = [] + for t in tokens[k]: + f = list(filter(lambda x: x[2] != index, t)) + while len(f) < len(t): + f.append(t[-1]) + out_tokens[k].append(f) + + cond, pooled = clip.encode_from_tokens(out_tokens, return_pooled=True) + + if index > 0: + token_index = index - 1 + num_id_images = 1 + class_tokens_mask = [True if token_index <= i < token_index+num_id_images else False for i in range(77)] + out = photomaker(id_pixel_values=pixel_values.unsqueeze(0), prompt_embeds=cond.to(photomaker.load_device), + class_tokens_mask=torch.tensor(class_tokens_mask, dtype=torch.bool, device=photomaker.load_device).unsqueeze(0)) + else: + out = cond + + return ([[out, {"pooled_output": pooled}]], ) + + +NODE_CLASS_MAPPINGS = { + "PhotoMakerLoader": PhotoMakerLoader, + "PhotoMakerEncode": PhotoMakerEncode, +} + diff --git a/comfy_extras/nodes_pixart.py b/comfy_extras/nodes_pixart.py new file mode 100644 index 0000000000000000000000000000000000000000..8d9276afe4b12c51c818a879cce1cd5453895552 --- /dev/null +++ b/comfy_extras/nodes_pixart.py @@ -0,0 +1,24 @@ +from nodes import MAX_RESOLUTION + +class CLIPTextEncodePixArtAlpha: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "width": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + "height": ("INT", {"default": 1024.0, "min": 0, "max": MAX_RESOLUTION}), + # "aspect_ratio": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "text": ("STRING", {"multiline": True, "dynamicPrompts": True}), "clip": ("CLIP", ), + }} + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + CATEGORY = "advanced/conditioning" + DESCRIPTION = "Encodes text and sets the resolution conditioning for PixArt Alpha. Does not apply to PixArt Sigma." + + def encode(self, clip, width, height, text): + tokens = clip.tokenize(text) + return (clip.encode_from_tokens_scheduled(tokens, add_dict={"width": width, "height": height}),) + +NODE_CLASS_MAPPINGS = { + "CLIPTextEncodePixArtAlpha": CLIPTextEncodePixArtAlpha, +} diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py new file mode 100644 index 0000000000000000000000000000000000000000..cb1a0d88303eef19fff34ce2b19611cfcb162e91 --- /dev/null +++ b/comfy_extras/nodes_post_processing.py @@ -0,0 +1,281 @@ +import numpy as np +import torch +import torch.nn.functional as F +from PIL import Image +import math + +import comfy.utils +import comfy.model_management +import node_helpers + +class Blend: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image1": ("IMAGE",), + "image2": ("IMAGE",), + "blend_factor": ("FLOAT", { + "default": 0.5, + "min": 0.0, + "max": 1.0, + "step": 0.01 + }), + "blend_mode": (["normal", "multiply", "screen", "overlay", "soft_light", "difference"],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "blend_images" + + CATEGORY = "image/postprocessing" + + def blend_images(self, image1: torch.Tensor, image2: torch.Tensor, blend_factor: float, blend_mode: str): + image1, image2 = node_helpers.image_alpha_fix(image1, image2) + image2 = image2.to(image1.device) + if image1.shape != image2.shape: + image2 = image2.permute(0, 3, 1, 2) + image2 = comfy.utils.common_upscale(image2, image1.shape[2], image1.shape[1], upscale_method='bicubic', crop='center') + image2 = image2.permute(0, 2, 3, 1) + + blended_image = self.blend_mode(image1, image2, blend_mode) + blended_image = image1 * (1 - blend_factor) + blended_image * blend_factor + blended_image = torch.clamp(blended_image, 0, 1) + return (blended_image,) + + def blend_mode(self, img1, img2, mode): + if mode == "normal": + return img2 + elif mode == "multiply": + return img1 * img2 + elif mode == "screen": + return 1 - (1 - img1) * (1 - img2) + elif mode == "overlay": + return torch.where(img1 <= 0.5, 2 * img1 * img2, 1 - 2 * (1 - img1) * (1 - img2)) + elif mode == "soft_light": + return torch.where(img2 <= 0.5, img1 - (1 - 2 * img2) * img1 * (1 - img1), img1 + (2 * img2 - 1) * (self.g(img1) - img1)) + elif mode == "difference": + return img1 - img2 + else: + raise ValueError(f"Unsupported blend mode: {mode}") + + def g(self, x): + return torch.where(x <= 0.25, ((16 * x - 12) * x + 4) * x, torch.sqrt(x)) + +def gaussian_kernel(kernel_size: int, sigma: float, device=None): + x, y = torch.meshgrid(torch.linspace(-1, 1, kernel_size, device=device), torch.linspace(-1, 1, kernel_size, device=device), indexing="ij") + d = torch.sqrt(x * x + y * y) + g = torch.exp(-(d * d) / (2.0 * sigma * sigma)) + return g / g.sum() + +class Blur: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "blur_radius": ("INT", { + "default": 1, + "min": 1, + "max": 31, + "step": 1 + }), + "sigma": ("FLOAT", { + "default": 1.0, + "min": 0.1, + "max": 10.0, + "step": 0.1 + }), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "blur" + + CATEGORY = "image/postprocessing" + + def blur(self, image: torch.Tensor, blur_radius: int, sigma: float): + if blur_radius == 0: + return (image,) + + image = image.to(comfy.model_management.get_torch_device()) + batch_size, height, width, channels = image.shape + + kernel_size = blur_radius * 2 + 1 + kernel = gaussian_kernel(kernel_size, sigma, device=image.device).repeat(channels, 1, 1).unsqueeze(1) + + image = image.permute(0, 3, 1, 2) # Torch wants (B, C, H, W) we use (B, H, W, C) + padded_image = F.pad(image, (blur_radius,blur_radius,blur_radius,blur_radius), 'reflect') + blurred = F.conv2d(padded_image, kernel, padding=kernel_size // 2, groups=channels)[:,:,blur_radius:-blur_radius, blur_radius:-blur_radius] + blurred = blurred.permute(0, 2, 3, 1) + + return (blurred.to(comfy.model_management.intermediate_device()),) + +class Quantize: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "colors": ("INT", { + "default": 256, + "min": 1, + "max": 256, + "step": 1 + }), + "dither": (["none", "floyd-steinberg", "bayer-2", "bayer-4", "bayer-8", "bayer-16"],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "quantize" + + CATEGORY = "image/postprocessing" + + @staticmethod + def bayer(im, pal_im, order): + def normalized_bayer_matrix(n): + if n == 0: + return np.zeros((1,1), "float32") + else: + q = 4 ** n + m = q * normalized_bayer_matrix(n - 1) + return np.bmat(((m-1.5, m+0.5), (m+1.5, m-0.5))) / q + + num_colors = len(pal_im.getpalette()) // 3 + spread = 2 * 256 / num_colors + bayer_n = int(math.log2(order)) + bayer_matrix = torch.from_numpy(spread * normalized_bayer_matrix(bayer_n) + 0.5) + + result = torch.from_numpy(np.array(im).astype(np.float32)) + tw = math.ceil(result.shape[0] / bayer_matrix.shape[0]) + th = math.ceil(result.shape[1] / bayer_matrix.shape[1]) + tiled_matrix = bayer_matrix.tile(tw, th).unsqueeze(-1) + result.add_(tiled_matrix[:result.shape[0],:result.shape[1]]).clamp_(0, 255) + result = result.to(dtype=torch.uint8) + + im = Image.fromarray(result.cpu().numpy()) + im = im.quantize(palette=pal_im, dither=Image.Dither.NONE) + return im + + def quantize(self, image: torch.Tensor, colors: int, dither: str): + batch_size, height, width, _ = image.shape + result = torch.zeros_like(image) + + for b in range(batch_size): + im = Image.fromarray((image[b] * 255).to(torch.uint8).numpy(), mode='RGB') + + pal_im = im.quantize(colors=colors) # Required as described in https://github.com/python-pillow/Pillow/issues/5836 + + if dither == "none": + quantized_image = im.quantize(palette=pal_im, dither=Image.Dither.NONE) + elif dither == "floyd-steinberg": + quantized_image = im.quantize(palette=pal_im, dither=Image.Dither.FLOYDSTEINBERG) + elif dither.startswith("bayer"): + order = int(dither.split('-')[-1]) + quantized_image = Quantize.bayer(im, pal_im, order) + + quantized_array = torch.tensor(np.array(quantized_image.convert("RGB"))).float() / 255 + result[b] = quantized_array + + return (result,) + +class Sharpen: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "sharpen_radius": ("INT", { + "default": 1, + "min": 1, + "max": 31, + "step": 1 + }), + "sigma": ("FLOAT", { + "default": 1.0, + "min": 0.1, + "max": 10.0, + "step": 0.01 + }), + "alpha": ("FLOAT", { + "default": 1.0, + "min": 0.0, + "max": 5.0, + "step": 0.01 + }), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "sharpen" + + CATEGORY = "image/postprocessing" + + def sharpen(self, image: torch.Tensor, sharpen_radius: int, sigma:float, alpha: float): + if sharpen_radius == 0: + return (image,) + + batch_size, height, width, channels = image.shape + image = image.to(comfy.model_management.get_torch_device()) + + kernel_size = sharpen_radius * 2 + 1 + kernel = gaussian_kernel(kernel_size, sigma, device=image.device) * -(alpha*10) + center = kernel_size // 2 + kernel[center, center] = kernel[center, center] - kernel.sum() + 1.0 + kernel = kernel.repeat(channels, 1, 1).unsqueeze(1) + + tensor_image = image.permute(0, 3, 1, 2) # Torch wants (B, C, H, W) we use (B, H, W, C) + tensor_image = F.pad(tensor_image, (sharpen_radius,sharpen_radius,sharpen_radius,sharpen_radius), 'reflect') + sharpened = F.conv2d(tensor_image, kernel, padding=center, groups=channels)[:,:,sharpen_radius:-sharpen_radius, sharpen_radius:-sharpen_radius] + sharpened = sharpened.permute(0, 2, 3, 1) + + result = torch.clamp(sharpened, 0, 1) + + return (result.to(comfy.model_management.intermediate_device()),) + +class ImageScaleToTotalPixels: + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"] + crop_methods = ["disabled", "center"] + + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,), + "megapixels": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 16.0, "step": 0.01}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + + CATEGORY = "image/upscaling" + + def upscale(self, image, upscale_method, megapixels): + samples = image.movedim(-1,1) + total = int(megapixels * 1024 * 1024) + + scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2])) + width = round(samples.shape[3] * scale_by) + height = round(samples.shape[2] * scale_by) + + s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled") + s = s.movedim(1,-1) + return (s,) + +NODE_CLASS_MAPPINGS = { + "ImageBlend": Blend, + "ImageBlur": Blur, + "ImageQuantize": Quantize, + "ImageSharpen": Sharpen, + "ImageScaleToTotalPixels": ImageScaleToTotalPixels, +} diff --git a/comfy_extras/nodes_preview_any.py b/comfy_extras/nodes_preview_any.py new file mode 100644 index 0000000000000000000000000000000000000000..e6805696f302e785f0ea4afe4ca82aa2eeca0495 --- /dev/null +++ b/comfy_extras/nodes_preview_any.py @@ -0,0 +1,43 @@ +import json +from comfy.comfy_types.node_typing import IO + +# Preview Any - original implement from +# https://github.com/rgthree/rgthree-comfy/blob/main/py/display_any.py +# upstream requested in https://github.com/Kosinkadink/rfcs/blob/main/rfcs/0000-corenodes.md#preview-nodes +class PreviewAny(): + @classmethod + def INPUT_TYPES(cls): + return { + "required": {"source": (IO.ANY, {})}, + } + + RETURN_TYPES = () + FUNCTION = "main" + OUTPUT_NODE = True + + CATEGORY = "utils" + + def main(self, source=None): + value = 'None' + if isinstance(source, str): + value = source + elif isinstance(source, (int, float, bool)): + value = str(source) + elif source is not None: + try: + value = json.dumps(source) + except Exception: + try: + value = str(source) + except Exception: + value = 'source exists, but could not be serialized.' + + return {"ui": {"text": (value,)}} + +NODE_CLASS_MAPPINGS = { + "PreviewAny": PreviewAny, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "PreviewAny": "Preview Any", +} diff --git a/comfy_extras/nodes_primitive.py b/comfy_extras/nodes_primitive.py new file mode 100644 index 0000000000000000000000000000000000000000..5a1aeba800773fb64c58eab2a87c91f2e1d682a8 --- /dev/null +++ b/comfy_extras/nodes_primitive.py @@ -0,0 +1,109 @@ +import sys +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io + + +class String(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="PrimitiveString", + display_name="String", + category="utils/primitive", + inputs=[ + io.String.Input("value"), + ], + outputs=[io.String.Output()], + ) + + @classmethod + def execute(cls, value: str) -> io.NodeOutput: + return io.NodeOutput(value) + + +class StringMultiline(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="PrimitiveStringMultiline", + display_name="String (Multiline)", + category="utils/primitive", + inputs=[ + io.String.Input("value", multiline=True), + ], + outputs=[io.String.Output()], + ) + + @classmethod + def execute(cls, value: str) -> io.NodeOutput: + return io.NodeOutput(value) + + +class Int(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="PrimitiveInt", + display_name="Int", + category="utils/primitive", + inputs=[ + io.Int.Input("value", min=-sys.maxsize, max=sys.maxsize, control_after_generate=True), + ], + outputs=[io.Int.Output()], + ) + + @classmethod + def execute(cls, value: int) -> io.NodeOutput: + return io.NodeOutput(value) + + +class Float(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="PrimitiveFloat", + display_name="Float", + category="utils/primitive", + inputs=[ + io.Float.Input("value", min=-sys.maxsize, max=sys.maxsize), + ], + outputs=[io.Float.Output()], + ) + + @classmethod + def execute(cls, value: float) -> io.NodeOutput: + return io.NodeOutput(value) + + +class Boolean(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="PrimitiveBoolean", + display_name="Boolean", + category="utils/primitive", + inputs=[ + io.Boolean.Input("value"), + ], + outputs=[io.Boolean.Output()], + ) + + @classmethod + def execute(cls, value: bool) -> io.NodeOutput: + return io.NodeOutput(value) + + +class PrimitivesExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + String, + StringMultiline, + Int, + Float, + Boolean, + ] + +async def comfy_entrypoint() -> PrimitivesExtension: + return PrimitivesExtension() diff --git a/comfy_extras/nodes_qwen.py b/comfy_extras/nodes_qwen.py new file mode 100644 index 0000000000000000000000000000000000000000..fff89556f4fb7331dd4eaeee162ae129e0321b06 --- /dev/null +++ b/comfy_extras/nodes_qwen.py @@ -0,0 +1,48 @@ +import node_helpers +import comfy.utils +import math + + +class TextEncodeQwenImageEdit: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "prompt": ("STRING", {"multiline": True, "dynamicPrompts": True}), + }, + "optional": {"vae": ("VAE", ), + "image": ("IMAGE", ),}} + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, prompt, vae=None, image=None): + ref_latent = None + if image is None: + images = [] + else: + samples = image.movedim(-1, 1) + total = int(1024 * 1024) + + scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2])) + width = round(samples.shape[3] * scale_by) + height = round(samples.shape[2] * scale_by) + + s = comfy.utils.common_upscale(samples, width, height, "area", "disabled") + image = s.movedim(1, -1) + images = [image[:, :, :, :3]] + if vae is not None: + ref_latent = vae.encode(image[:, :, :, :3]) + + tokens = clip.tokenize(prompt, images=images) + conditioning = clip.encode_from_tokens_scheduled(tokens) + if ref_latent is not None: + conditioning = node_helpers.conditioning_set_values(conditioning, {"reference_latents": [ref_latent]}, append=True) + return (conditioning, ) + + +NODE_CLASS_MAPPINGS = { + "TextEncodeQwenImageEdit": TextEncodeQwenImageEdit, +} diff --git a/comfy_extras/nodes_rebatch.py b/comfy_extras/nodes_rebatch.py new file mode 100644 index 0000000000000000000000000000000000000000..e29cb9ed10dae329ac2bea313df72f2387bd7ade --- /dev/null +++ b/comfy_extras/nodes_rebatch.py @@ -0,0 +1,138 @@ +import torch + +class LatentRebatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "latents": ("LATENT",), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + }} + RETURN_TYPES = ("LATENT",) + INPUT_IS_LIST = True + OUTPUT_IS_LIST = (True, ) + + FUNCTION = "rebatch" + + CATEGORY = "latent/batch" + + @staticmethod + def get_batch(latents, list_ind, offset): + '''prepare a batch out of the list of latents''' + samples = latents[list_ind]['samples'] + shape = samples.shape + mask = latents[list_ind]['noise_mask'] if 'noise_mask' in latents[list_ind] else torch.ones((shape[0], 1, shape[2]*8, shape[3]*8), device='cpu') + if mask.shape[-1] != shape[-1] * 8 or mask.shape[-2] != shape[-2]: + torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[-2]*8, shape[-1]*8), mode="bilinear") + if mask.shape[0] < samples.shape[0]: + mask = mask.repeat((shape[0] - 1) // mask.shape[0] + 1, 1, 1, 1)[:shape[0]] + if 'batch_index' in latents[list_ind]: + batch_inds = latents[list_ind]['batch_index'] + else: + batch_inds = [x+offset for x in range(shape[0])] + return samples, mask, batch_inds + + @staticmethod + def get_slices(indexable, num, batch_size): + '''divides an indexable object into num slices of length batch_size, and a remainder''' + slices = [] + for i in range(num): + slices.append(indexable[i*batch_size:(i+1)*batch_size]) + if num * batch_size < len(indexable): + return slices, indexable[num * batch_size:] + else: + return slices, None + + @staticmethod + def slice_batch(batch, num, batch_size): + result = [LatentRebatch.get_slices(x, num, batch_size) for x in batch] + return list(zip(*result)) + + @staticmethod + def cat_batch(batch1, batch2): + if batch1[0] is None: + return batch2 + result = [torch.cat((b1, b2)) if torch.is_tensor(b1) else b1 + b2 for b1, b2 in zip(batch1, batch2)] + return result + + def rebatch(self, latents, batch_size): + batch_size = batch_size[0] + + output_list = [] + current_batch = (None, None, None) + processed = 0 + + for i in range(len(latents)): + # fetch new entry of list + #samples, masks, indices = self.get_batch(latents, i) + next_batch = self.get_batch(latents, i, processed) + processed += len(next_batch[2]) + # set to current if current is None + if current_batch[0] is None: + current_batch = next_batch + # add previous to list if dimensions do not match + elif next_batch[0].shape[-1] != current_batch[0].shape[-1] or next_batch[0].shape[-2] != current_batch[0].shape[-2]: + sliced, _ = self.slice_batch(current_batch, 1, batch_size) + output_list.append({'samples': sliced[0][0], 'noise_mask': sliced[1][0], 'batch_index': sliced[2][0]}) + current_batch = next_batch + # cat if everything checks out + else: + current_batch = self.cat_batch(current_batch, next_batch) + + # add to list if dimensions gone above target batch size + if current_batch[0].shape[0] > batch_size: + num = current_batch[0].shape[0] // batch_size + sliced, remainder = self.slice_batch(current_batch, num, batch_size) + + for i in range(num): + output_list.append({'samples': sliced[0][i], 'noise_mask': sliced[1][i], 'batch_index': sliced[2][i]}) + + current_batch = remainder + + #add remainder + if current_batch[0] is not None: + sliced, _ = self.slice_batch(current_batch, 1, batch_size) + output_list.append({'samples': sliced[0][0], 'noise_mask': sliced[1][0], 'batch_index': sliced[2][0]}) + + #get rid of empty masks + for s in output_list: + if s['noise_mask'].mean() == 1.0: + del s['noise_mask'] + + return (output_list,) + +class ImageRebatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "images": ("IMAGE",), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + }} + RETURN_TYPES = ("IMAGE",) + INPUT_IS_LIST = True + OUTPUT_IS_LIST = (True, ) + + FUNCTION = "rebatch" + + CATEGORY = "image/batch" + + def rebatch(self, images, batch_size): + batch_size = batch_size[0] + + output_list = [] + all_images = [] + for img in images: + for i in range(img.shape[0]): + all_images.append(img[i:i+1]) + + for i in range(0, len(all_images), batch_size): + output_list.append(torch.cat(all_images[i:i+batch_size], dim=0)) + + return (output_list,) + +NODE_CLASS_MAPPINGS = { + "RebatchLatents": LatentRebatch, + "RebatchImages": ImageRebatch, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "RebatchLatents": "Rebatch Latents", + "RebatchImages": "Rebatch Images", +} diff --git a/comfy_extras/nodes_sag.py b/comfy_extras/nodes_sag.py new file mode 100644 index 0000000000000000000000000000000000000000..1bd8d7364fdde4bd8ce9b11f342dfce71d3a4214 --- /dev/null +++ b/comfy_extras/nodes_sag.py @@ -0,0 +1,181 @@ +import torch +from torch import einsum +import torch.nn.functional as F +import math + +from einops import rearrange, repeat +from comfy.ldm.modules.attention import optimized_attention +import comfy.samplers + +# from comfy/ldm/modules/attention.py +# but modified to return attention scores as well as output +def attention_basic_with_sim(q, k, v, heads, mask=None, attn_precision=None): + b, _, dim_head = q.shape + dim_head //= heads + scale = dim_head ** -0.5 + + h = heads + q, k, v = map( + lambda t: t.unsqueeze(3) + .reshape(b, -1, heads, dim_head) + .permute(0, 2, 1, 3) + .reshape(b * heads, -1, dim_head) + .contiguous(), + (q, k, v), + ) + + # force cast to fp32 to avoid overflowing + if attn_precision == torch.float32: + sim = einsum('b i d, b j d -> b i j', q.float(), k.float()) * scale + else: + sim = einsum('b i d, b j d -> b i j', q, k) * scale + + del q, k + + if mask is not None: + mask = rearrange(mask, 'b ... -> b (...)') + max_neg_value = -torch.finfo(sim.dtype).max + mask = repeat(mask, 'b j -> (b h) () j', h=h) + sim.masked_fill_(~mask, max_neg_value) + + # attention, what we cannot get enough of + sim = sim.softmax(dim=-1) + + out = einsum('b i j, b j d -> b i d', sim.to(v.dtype), v) + out = ( + out.unsqueeze(0) + .reshape(b, heads, -1, dim_head) + .permute(0, 2, 1, 3) + .reshape(b, -1, heads * dim_head) + ) + return (out, sim) + +def create_blur_map(x0, attn, sigma=3.0, threshold=1.0): + # reshape and GAP the attention map + _, hw1, hw2 = attn.shape + b, _, lh, lw = x0.shape + attn = attn.reshape(b, -1, hw1, hw2) + # Global Average Pool + mask = attn.mean(1, keepdim=False).sum(1, keepdim=False) > threshold + + total = mask.shape[-1] + x = round(math.sqrt((lh / lw) * total)) + xx = None + for i in range(0, math.floor(math.sqrt(total) / 2)): + for j in [(x + i), max(1, x - i)]: + if total % j == 0: + xx = j + break + if xx is not None: + break + + x = xx + y = total // x + + # Reshape + mask = ( + mask.reshape(b, x, y) + .unsqueeze(1) + .type(attn.dtype) + ) + # Upsample + mask = F.interpolate(mask, (lh, lw)) + + blurred = gaussian_blur_2d(x0, kernel_size=9, sigma=sigma) + blurred = blurred * mask + x0 * (1 - mask) + return blurred + +def gaussian_blur_2d(img, kernel_size, sigma): + ksize_half = (kernel_size - 1) * 0.5 + + x = torch.linspace(-ksize_half, ksize_half, steps=kernel_size) + + pdf = torch.exp(-0.5 * (x / sigma).pow(2)) + + x_kernel = pdf / pdf.sum() + x_kernel = x_kernel.to(device=img.device, dtype=img.dtype) + + kernel2d = torch.mm(x_kernel[:, None], x_kernel[None, :]) + kernel2d = kernel2d.expand(img.shape[-3], 1, kernel2d.shape[0], kernel2d.shape[1]) + + padding = [kernel_size // 2, kernel_size // 2, kernel_size // 2, kernel_size // 2] + + img = F.pad(img, padding, mode="reflect") + img = F.conv2d(img, kernel2d, groups=img.shape[-3]) + return img + +class SelfAttentionGuidance: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "scale": ("FLOAT", {"default": 0.5, "min": -2.0, "max": 5.0, "step": 0.01}), + "blur_sigma": ("FLOAT", {"default": 2.0, "min": 0.0, "max": 10.0, "step": 0.1}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "_for_testing" + + def patch(self, model, scale, blur_sigma): + m = model.clone() + + attn_scores = None + + # TODO: make this work properly with chunked batches + # currently, we can only save the attn from one UNet call + def attn_and_record(q, k, v, extra_options): + nonlocal attn_scores + # if uncond, save the attention scores + heads = extra_options["n_heads"] + cond_or_uncond = extra_options["cond_or_uncond"] + b = q.shape[0] // len(cond_or_uncond) + if 1 in cond_or_uncond: + uncond_index = cond_or_uncond.index(1) + # do the entire attention operation, but save the attention scores to attn_scores + (out, sim) = attention_basic_with_sim(q, k, v, heads=heads, attn_precision=extra_options["attn_precision"]) + # when using a higher batch size, I BELIEVE the result batch dimension is [uc1, ... ucn, c1, ... cn] + n_slices = heads * b + attn_scores = sim[n_slices * uncond_index:n_slices * (uncond_index+1)] + return out + else: + return optimized_attention(q, k, v, heads=heads, attn_precision=extra_options["attn_precision"]) + + def post_cfg_function(args): + nonlocal attn_scores + uncond_attn = attn_scores + + sag_scale = scale + sag_sigma = blur_sigma + sag_threshold = 1.0 + model = args["model"] + uncond_pred = args["uncond_denoised"] + uncond = args["uncond"] + cfg_result = args["denoised"] + sigma = args["sigma"] + model_options = args["model_options"] + x = args["input"] + if min(cfg_result.shape[2:]) <= 4: #skip when too small to add padding + return cfg_result + + # create the adversarially blurred image + degraded = create_blur_map(uncond_pred, uncond_attn, sag_sigma, sag_threshold) + degraded_noised = degraded + x - uncond_pred + # call into the UNet + (sag,) = comfy.samplers.calc_cond_batch(model, [uncond], degraded_noised, sigma, model_options) + return cfg_result + (degraded - sag) * sag_scale + + m.set_model_sampler_post_cfg_function(post_cfg_function, disable_cfg1_optimization=True) + + # from diffusers: + # unet.mid_block.attentions[0].transformer_blocks[0].attn1.patch + m.set_model_attn1_replace(attn_and_record, "middle", 0, 0) + + return (m, ) + +NODE_CLASS_MAPPINGS = { + "SelfAttentionGuidance": SelfAttentionGuidance, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "SelfAttentionGuidance": "Self-Attention Guidance", +} diff --git a/comfy_extras/nodes_sd3.py b/comfy_extras/nodes_sd3.py new file mode 100644 index 0000000000000000000000000000000000000000..d75b29e606feaf1e0eb125bd63f4abe2bc03b2f5 --- /dev/null +++ b/comfy_extras/nodes_sd3.py @@ -0,0 +1,138 @@ +import folder_paths +import comfy.sd +import comfy.model_management +import nodes +import torch +import comfy_extras.nodes_slg + + +class TripleCLIPLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ), "clip_name2": (folder_paths.get_filename_list("text_encoders"), ), "clip_name3": (folder_paths.get_filename_list("text_encoders"), ) + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "load_clip" + + CATEGORY = "advanced/loaders" + + DESCRIPTION = "[Recipes]\n\nsd3: clip-l, clip-g, t5" + + def load_clip(self, clip_name1, clip_name2, clip_name3): + clip_path1 = folder_paths.get_full_path_or_raise("text_encoders", clip_name1) + clip_path2 = folder_paths.get_full_path_or_raise("text_encoders", clip_name2) + clip_path3 = folder_paths.get_full_path_or_raise("text_encoders", clip_name3) + clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2, clip_path3], embedding_directory=folder_paths.get_folder_paths("embeddings")) + return (clip,) + + +class EmptySD3LatentImage: + def __init__(self): + self.device = comfy.model_management.intermediate_device() + + @classmethod + def INPUT_TYPES(s): + return {"required": { "width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "height": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "generate" + + CATEGORY = "latent/sd3" + + def generate(self, width, height, batch_size=1): + latent = torch.zeros([batch_size, 16, height // 8, width // 8], device=self.device) + return ({"samples":latent}, ) + + +class CLIPTextEncodeSD3: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "clip": ("CLIP", ), + "clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "clip_g": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "empty_padding": (["none", "empty_prompt"], ) + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "encode" + + CATEGORY = "advanced/conditioning" + + def encode(self, clip, clip_l, clip_g, t5xxl, empty_padding): + no_padding = empty_padding == "none" + + tokens = clip.tokenize(clip_g) + if len(clip_g) == 0 and no_padding: + tokens["g"] = [] + + if len(clip_l) == 0 and no_padding: + tokens["l"] = [] + else: + tokens["l"] = clip.tokenize(clip_l)["l"] + + if len(t5xxl) == 0 and no_padding: + tokens["t5xxl"] = [] + else: + tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"] + if len(tokens["l"]) != len(tokens["g"]): + empty = clip.tokenize("") + while len(tokens["l"]) < len(tokens["g"]): + tokens["l"] += empty["l"] + while len(tokens["l"]) > len(tokens["g"]): + tokens["g"] += empty["g"] + return (clip.encode_from_tokens_scheduled(tokens), ) + + +class ControlNetApplySD3(nodes.ControlNetApplyAdvanced): + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "control_net": ("CONTROL_NET", ), + "vae": ("VAE", ), + "image": ("IMAGE", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}) + }} + CATEGORY = "conditioning/controlnet" + DEPRECATED = True + + +class SkipLayerGuidanceSD3(comfy_extras.nodes_slg.SkipLayerGuidanceDiT): + ''' + Enhance guidance towards detailed dtructure by having another set of CFG negative with skipped layers. + Inspired by Perturbed Attention Guidance (https://arxiv.org/abs/2403.17377) + Experimental implementation by Dango233@StabilityAI. + ''' + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL", ), + "layers": ("STRING", {"default": "7, 8, 9", "multiline": False}), + "scale": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 10.0, "step": 0.1}), + "start_percent": ("FLOAT", {"default": 0.01, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 0.15, "min": 0.0, "max": 1.0, "step": 0.001}) + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "skip_guidance_sd3" + + CATEGORY = "advanced/guidance" + + def skip_guidance_sd3(self, model, layers, scale, start_percent, end_percent): + return self.skip_guidance(model=model, scale=scale, start_percent=start_percent, end_percent=end_percent, double_layers=layers) + + +NODE_CLASS_MAPPINGS = { + "TripleCLIPLoader": TripleCLIPLoader, + "EmptySD3LatentImage": EmptySD3LatentImage, + "CLIPTextEncodeSD3": CLIPTextEncodeSD3, + "ControlNetApplySD3": ControlNetApplySD3, + "SkipLayerGuidanceSD3": SkipLayerGuidanceSD3, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + # Sampling + "ControlNetApplySD3": "Apply Controlnet with VAE", +} diff --git a/comfy_extras/nodes_sdupscale.py b/comfy_extras/nodes_sdupscale.py new file mode 100644 index 0000000000000000000000000000000000000000..bba67e8ddff8064a90ec0f8e71e953ca4e56c4c6 --- /dev/null +++ b/comfy_extras/nodes_sdupscale.py @@ -0,0 +1,46 @@ +import torch +import comfy.utils + +class SD_4XUpscale_Conditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": { "images": ("IMAGE",), + "positive": ("CONDITIONING",), + "negative": ("CONDITIONING",), + "scale_ratio": ("FLOAT", {"default": 4.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "noise_augmentation": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + }} + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + FUNCTION = "encode" + + CATEGORY = "conditioning/upscale_diffusion" + + def encode(self, images, positive, negative, scale_ratio, noise_augmentation): + width = max(1, round(images.shape[-2] * scale_ratio)) + height = max(1, round(images.shape[-3] * scale_ratio)) + + pixels = comfy.utils.common_upscale((images.movedim(-1,1) * 2.0) - 1.0, width // 4, height // 4, "bilinear", "center") + + out_cp = [] + out_cn = [] + + for t in positive: + n = [t[0], t[1].copy()] + n[1]['concat_image'] = pixels + n[1]['noise_augmentation'] = noise_augmentation + out_cp.append(n) + + for t in negative: + n = [t[0], t[1].copy()] + n[1]['concat_image'] = pixels + n[1]['noise_augmentation'] = noise_augmentation + out_cn.append(n) + + latent = torch.zeros([images.shape[0], 4, height // 4, width // 4]) + return (out_cp, out_cn, {"samples":latent}) + +NODE_CLASS_MAPPINGS = { + "SD_4XUpscale_Conditioning": SD_4XUpscale_Conditioning, +} diff --git a/comfy_extras/nodes_slg.py b/comfy_extras/nodes_slg.py new file mode 100644 index 0000000000000000000000000000000000000000..7adff202eb2fcea8b8d3b57e51e24725859d551c --- /dev/null +++ b/comfy_extras/nodes_slg.py @@ -0,0 +1,152 @@ +import comfy.model_patcher +import comfy.samplers +import re + + +class SkipLayerGuidanceDiT: + ''' + Enhance guidance towards detailed dtructure by having another set of CFG negative with skipped layers. + Inspired by Perturbed Attention Guidance (https://arxiv.org/abs/2403.17377) + Original experimental implementation for SD3 by Dango233@StabilityAI. + ''' + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL", ), + "double_layers": ("STRING", {"default": "7, 8, 9", "multiline": False}), + "single_layers": ("STRING", {"default": "7, 8, 9", "multiline": False}), + "scale": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 10.0, "step": 0.1}), + "start_percent": ("FLOAT", {"default": 0.01, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 0.15, "min": 0.0, "max": 1.0, "step": 0.001}), + "rescaling_scale": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "skip_guidance" + EXPERIMENTAL = True + + DESCRIPTION = "Generic version of SkipLayerGuidance node that can be used on every DiT model." + + CATEGORY = "advanced/guidance" + + def skip_guidance(self, model, scale, start_percent, end_percent, double_layers="", single_layers="", rescaling_scale=0): + # check if layer is comma separated integers + def skip(args, extra_args): + return args + + model_sampling = model.get_model_object("model_sampling") + sigma_start = model_sampling.percent_to_sigma(start_percent) + sigma_end = model_sampling.percent_to_sigma(end_percent) + + double_layers = re.findall(r'\d+', double_layers) + double_layers = [int(i) for i in double_layers] + + single_layers = re.findall(r'\d+', single_layers) + single_layers = [int(i) for i in single_layers] + + if len(double_layers) == 0 and len(single_layers) == 0: + return (model, ) + + def post_cfg_function(args): + model = args["model"] + cond_pred = args["cond_denoised"] + cond = args["cond"] + cfg_result = args["denoised"] + sigma = args["sigma"] + x = args["input"] + model_options = args["model_options"].copy() + + for layer in double_layers: + model_options = comfy.model_patcher.set_model_options_patch_replace(model_options, skip, "dit", "double_block", layer) + + for layer in single_layers: + model_options = comfy.model_patcher.set_model_options_patch_replace(model_options, skip, "dit", "single_block", layer) + + model_sampling.percent_to_sigma(start_percent) + + sigma_ = sigma[0].item() + if scale > 0 and sigma_ >= sigma_end and sigma_ <= sigma_start: + (slg,) = comfy.samplers.calc_cond_batch(model, [cond], x, sigma, model_options) + cfg_result = cfg_result + (cond_pred - slg) * scale + if rescaling_scale != 0: + factor = cond_pred.std() / cfg_result.std() + factor = rescaling_scale * factor + (1 - rescaling_scale) + cfg_result *= factor + + return cfg_result + + m = model.clone() + m.set_model_sampler_post_cfg_function(post_cfg_function) + + return (m, ) + +class SkipLayerGuidanceDiTSimple: + ''' + Simple version of the SkipLayerGuidanceDiT node that only modifies the uncond pass. + ''' + @classmethod + def INPUT_TYPES(s): + return {"required": {"model": ("MODEL", ), + "double_layers": ("STRING", {"default": "7, 8, 9", "multiline": False}), + "single_layers": ("STRING", {"default": "7, 8, 9", "multiline": False}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "skip_guidance" + EXPERIMENTAL = True + + DESCRIPTION = "Simple version of the SkipLayerGuidanceDiT node that only modifies the uncond pass." + + CATEGORY = "advanced/guidance" + + def skip_guidance(self, model, start_percent, end_percent, double_layers="", single_layers=""): + def skip(args, extra_args): + return args + + model_sampling = model.get_model_object("model_sampling") + sigma_start = model_sampling.percent_to_sigma(start_percent) + sigma_end = model_sampling.percent_to_sigma(end_percent) + + double_layers = re.findall(r'\d+', double_layers) + double_layers = [int(i) for i in double_layers] + + single_layers = re.findall(r'\d+', single_layers) + single_layers = [int(i) for i in single_layers] + + if len(double_layers) == 0 and len(single_layers) == 0: + return (model, ) + + def calc_cond_batch_function(args): + x = args["input"] + model = args["model"] + conds = args["conds"] + sigma = args["sigma"] + + model_options = args["model_options"] + slg_model_options = model_options.copy() + + for layer in double_layers: + slg_model_options = comfy.model_patcher.set_model_options_patch_replace(slg_model_options, skip, "dit", "double_block", layer) + + for layer in single_layers: + slg_model_options = comfy.model_patcher.set_model_options_patch_replace(slg_model_options, skip, "dit", "single_block", layer) + + cond, uncond = conds + sigma_ = sigma[0].item() + if sigma_ >= sigma_end and sigma_ <= sigma_start and uncond is not None: + cond_out, _ = comfy.samplers.calc_cond_batch(model, [cond, None], x, sigma, model_options) + _, uncond_out = comfy.samplers.calc_cond_batch(model, [None, uncond], x, sigma, slg_model_options) + out = [cond_out, uncond_out] + else: + out = comfy.samplers.calc_cond_batch(model, conds, x, sigma, model_options) + + return out + + m = model.clone() + m.set_model_sampler_calc_cond_batch_function(calc_cond_batch_function) + + return (m, ) + +NODE_CLASS_MAPPINGS = { + "SkipLayerGuidanceDiT": SkipLayerGuidanceDiT, + "SkipLayerGuidanceDiTSimple": SkipLayerGuidanceDiTSimple, +} diff --git a/comfy_extras/nodes_stable3d.py b/comfy_extras/nodes_stable3d.py new file mode 100644 index 0000000000000000000000000000000000000000..be2e34c28f49f160a21703c313305193ed00546f --- /dev/null +++ b/comfy_extras/nodes_stable3d.py @@ -0,0 +1,143 @@ +import torch +import nodes +import comfy.utils + +def camera_embeddings(elevation, azimuth): + elevation = torch.as_tensor([elevation]) + azimuth = torch.as_tensor([azimuth]) + embeddings = torch.stack( + [ + torch.deg2rad( + (90 - elevation) - (90) + ), # Zero123 polar is 90-elevation + torch.sin(torch.deg2rad(azimuth)), + torch.cos(torch.deg2rad(azimuth)), + torch.deg2rad( + 90 - torch.full_like(elevation, 0) + ), + ], dim=-1).unsqueeze(1) + + return embeddings + + +class StableZero123_Conditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_vision": ("CLIP_VISION",), + "init_image": ("IMAGE",), + "vae": ("VAE",), + "width": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + "elevation": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}), + "azimuth": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}), + }} + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + FUNCTION = "encode" + + CATEGORY = "conditioning/3d_models" + + def encode(self, clip_vision, init_image, vae, width, height, batch_size, elevation, azimuth): + output = clip_vision.encode_image(init_image) + pooled = output.image_embeds.unsqueeze(0) + pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1) + encode_pixels = pixels[:,:,:,:3] + t = vae.encode(encode_pixels) + cam_embeds = camera_embeddings(elevation, azimuth) + cond = torch.cat([pooled, cam_embeds.to(pooled.device).repeat((pooled.shape[0], 1, 1))], dim=-1) + + positive = [[cond, {"concat_latent_image": t}]] + negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]] + latent = torch.zeros([batch_size, 4, height // 8, width // 8]) + return (positive, negative, {"samples":latent}) + +class StableZero123_Conditioning_Batched: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_vision": ("CLIP_VISION",), + "init_image": ("IMAGE",), + "vae": ("VAE",), + "width": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 256, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + "elevation": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}), + "azimuth": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}), + "elevation_batch_increment": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}), + "azimuth_batch_increment": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0, "step": 0.1, "round": False}), + }} + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + FUNCTION = "encode" + + CATEGORY = "conditioning/3d_models" + + def encode(self, clip_vision, init_image, vae, width, height, batch_size, elevation, azimuth, elevation_batch_increment, azimuth_batch_increment): + output = clip_vision.encode_image(init_image) + pooled = output.image_embeds.unsqueeze(0) + pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1) + encode_pixels = pixels[:,:,:,:3] + t = vae.encode(encode_pixels) + + cam_embeds = [] + for i in range(batch_size): + cam_embeds.append(camera_embeddings(elevation, azimuth)) + elevation += elevation_batch_increment + azimuth += azimuth_batch_increment + + cam_embeds = torch.cat(cam_embeds, dim=0) + cond = torch.cat([comfy.utils.repeat_to_batch_size(pooled, batch_size), cam_embeds], dim=-1) + + positive = [[cond, {"concat_latent_image": t}]] + negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]] + latent = torch.zeros([batch_size, 4, height // 8, width // 8]) + return (positive, negative, {"samples":latent, "batch_index": [0] * batch_size}) + +class SV3D_Conditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_vision": ("CLIP_VISION",), + "init_image": ("IMAGE",), + "vae": ("VAE",), + "width": ("INT", {"default": 576, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 576, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "video_frames": ("INT", {"default": 21, "min": 1, "max": 4096}), + "elevation": ("FLOAT", {"default": 0.0, "min": -90.0, "max": 90.0, "step": 0.1, "round": False}), + }} + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + FUNCTION = "encode" + + CATEGORY = "conditioning/3d_models" + + def encode(self, clip_vision, init_image, vae, width, height, video_frames, elevation): + output = clip_vision.encode_image(init_image) + pooled = output.image_embeds.unsqueeze(0) + pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1) + encode_pixels = pixels[:,:,:,:3] + t = vae.encode(encode_pixels) + + azimuth = 0 + azimuth_increment = 360 / (max(video_frames, 2) - 1) + + elevations = [] + azimuths = [] + for i in range(video_frames): + elevations.append(elevation) + azimuths.append(azimuth) + azimuth += azimuth_increment + + positive = [[pooled, {"concat_latent_image": t, "elevation": elevations, "azimuth": azimuths}]] + negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t), "elevation": elevations, "azimuth": azimuths}]] + latent = torch.zeros([video_frames, 4, height // 8, width // 8]) + return (positive, negative, {"samples":latent}) + + +NODE_CLASS_MAPPINGS = { + "StableZero123_Conditioning": StableZero123_Conditioning, + "StableZero123_Conditioning_Batched": StableZero123_Conditioning_Batched, + "SV3D_Conditioning": SV3D_Conditioning, +} diff --git a/comfy_extras/nodes_stable_cascade.py b/comfy_extras/nodes_stable_cascade.py new file mode 100644 index 0000000000000000000000000000000000000000..04c0b366a60f2c8f00acd6421d38d8b4787e9dde --- /dev/null +++ b/comfy_extras/nodes_stable_cascade.py @@ -0,0 +1,162 @@ +""" + This file is part of ComfyUI. + Copyright (C) 2024 Stability AI + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . +""" + +import torch +from typing_extensions import override + +import comfy.utils +import nodes +from comfy_api.latest import ComfyExtension, io + + +class StableCascade_EmptyLatentImage(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StableCascade_EmptyLatentImage", + category="latent/stable_cascade", + inputs=[ + io.Int.Input("width", default=1024, min=256, max=nodes.MAX_RESOLUTION, step=8), + io.Int.Input("height", default=1024, min=256, max=nodes.MAX_RESOLUTION, step=8), + io.Int.Input("compression", default=42, min=4, max=128, step=1), + io.Int.Input("batch_size", default=1, min=1, max=4096), + ], + outputs=[ + io.Latent.Output(display_name="stage_c"), + io.Latent.Output(display_name="stage_b"), + ], + ) + + @classmethod + def execute(cls, width, height, compression, batch_size=1): + c_latent = torch.zeros([batch_size, 16, height // compression, width // compression]) + b_latent = torch.zeros([batch_size, 4, height // 4, width // 4]) + return io.NodeOutput({ + "samples": c_latent, + }, { + "samples": b_latent, + }) + + +class StableCascade_StageC_VAEEncode(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StableCascade_StageC_VAEEncode", + category="latent/stable_cascade", + inputs=[ + io.Image.Input("image"), + io.Vae.Input("vae"), + io.Int.Input("compression", default=42, min=4, max=128, step=1), + ], + outputs=[ + io.Latent.Output(display_name="stage_c"), + io.Latent.Output(display_name="stage_b"), + ], + ) + + @classmethod + def execute(cls, image, vae, compression): + width = image.shape[-2] + height = image.shape[-3] + out_width = (width // compression) * vae.downscale_ratio + out_height = (height // compression) * vae.downscale_ratio + + s = comfy.utils.common_upscale(image.movedim(-1,1), out_width, out_height, "bicubic", "center").movedim(1,-1) + + c_latent = vae.encode(s[:,:,:,:3]) + b_latent = torch.zeros([c_latent.shape[0], 4, (height // 8) * 2, (width // 8) * 2]) + return io.NodeOutput({ + "samples": c_latent, + }, { + "samples": b_latent, + }) + + +class StableCascade_StageB_Conditioning(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StableCascade_StageB_Conditioning", + category="conditioning/stable_cascade", + inputs=[ + io.Conditioning.Input("conditioning"), + io.Latent.Input("stage_c"), + ], + outputs=[ + io.Conditioning.Output(), + ], + ) + + @classmethod + def execute(cls, conditioning, stage_c): + c = [] + for t in conditioning: + d = t[1].copy() + d["stable_cascade_prior"] = stage_c["samples"] + n = [t[0], d] + c.append(n) + return io.NodeOutput(c) + + +class StableCascade_SuperResolutionControlnet(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StableCascade_SuperResolutionControlnet", + category="_for_testing/stable_cascade", + is_experimental=True, + inputs=[ + io.Image.Input("image"), + io.Vae.Input("vae"), + ], + outputs=[ + io.Image.Output(display_name="controlnet_input"), + io.Latent.Output(display_name="stage_c"), + io.Latent.Output(display_name="stage_b"), + ], + ) + + @classmethod + def execute(cls, image, vae): + width = image.shape[-2] + height = image.shape[-3] + batch_size = image.shape[0] + controlnet_input = vae.encode(image[:,:,:,:3]).movedim(1, -1) + + c_latent = torch.zeros([batch_size, 16, height // 16, width // 16]) + b_latent = torch.zeros([batch_size, 4, height // 2, width // 2]) + return io.NodeOutput(controlnet_input, { + "samples": c_latent, + }, { + "samples": b_latent, + }) + + +class StableCascadeExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + StableCascade_EmptyLatentImage, + StableCascade_StageB_Conditioning, + StableCascade_StageC_VAEEncode, + StableCascade_SuperResolutionControlnet, + ] + +async def comfy_entrypoint() -> StableCascadeExtension: + return StableCascadeExtension() diff --git a/comfy_extras/nodes_string.py b/comfy_extras/nodes_string.py new file mode 100644 index 0000000000000000000000000000000000000000..571d89f6268f0850212208379808eb2b81fe3df6 --- /dev/null +++ b/comfy_extras/nodes_string.py @@ -0,0 +1,385 @@ +import re +from typing_extensions import override + +from comfy_api.latest import ComfyExtension, io + + +class StringConcatenate(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringConcatenate", + display_name="Concatenate", + category="utils/string", + inputs=[ + io.String.Input("string_a", multiline=True), + io.String.Input("string_b", multiline=True), + io.String.Input("delimiter", multiline=False, default=""), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string_a, string_b, delimiter): + return io.NodeOutput(delimiter.join((string_a, string_b))) + + +class StringSubstring(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringSubstring", + display_name="Substring", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.Int.Input("start"), + io.Int.Input("end"), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string, start, end): + return io.NodeOutput(string[start:end]) + + +class StringLength(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringLength", + display_name="Length", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + ], + outputs=[ + io.Int.Output(display_name="length"), + ] + ) + + @classmethod + def execute(cls, string): + return io.NodeOutput(len(string)) + + +class CaseConverter(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="CaseConverter", + display_name="Case Converter", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.Combo.Input("mode", options=["UPPERCASE", "lowercase", "Capitalize", "Title Case"]), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string, mode): + if mode == "UPPERCASE": + result = string.upper() + elif mode == "lowercase": + result = string.lower() + elif mode == "Capitalize": + result = string.capitalize() + elif mode == "Title Case": + result = string.title() + else: + result = string + + return io.NodeOutput(result) + + +class StringTrim(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringTrim", + display_name="Trim", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.Combo.Input("mode", options=["Both", "Left", "Right"]), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string, mode): + if mode == "Both": + result = string.strip() + elif mode == "Left": + result = string.lstrip() + elif mode == "Right": + result = string.rstrip() + else: + result = string + + return io.NodeOutput(result) + + +class StringReplace(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringReplace", + display_name="Replace", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.String.Input("find", multiline=True), + io.String.Input("replace", multiline=True), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string, find, replace): + return io.NodeOutput(string.replace(find, replace)) + + +class StringContains(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringContains", + display_name="Contains", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.String.Input("substring", multiline=True), + io.Boolean.Input("case_sensitive", default=True), + ], + outputs=[ + io.Boolean.Output(display_name="contains"), + ] + ) + + @classmethod + def execute(cls, string, substring, case_sensitive): + if case_sensitive: + contains = substring in string + else: + contains = substring.lower() in string.lower() + + return io.NodeOutput(contains) + + +class StringCompare(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="StringCompare", + display_name="Compare", + category="utils/string", + inputs=[ + io.String.Input("string_a", multiline=True), + io.String.Input("string_b", multiline=True), + io.Combo.Input("mode", options=["Starts With", "Ends With", "Equal"]), + io.Boolean.Input("case_sensitive", default=True), + ], + outputs=[ + io.Boolean.Output(), + ] + ) + + @classmethod + def execute(cls, string_a, string_b, mode, case_sensitive): + if case_sensitive: + a = string_a + b = string_b + else: + a = string_a.lower() + b = string_b.lower() + + if mode == "Equal": + return io.NodeOutput(a == b) + elif mode == "Starts With": + return io.NodeOutput(a.startswith(b)) + elif mode == "Ends With": + return io.NodeOutput(a.endswith(b)) + + +class RegexMatch(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="RegexMatch", + display_name="Regex Match", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.String.Input("regex_pattern", multiline=True), + io.Boolean.Input("case_insensitive", default=True), + io.Boolean.Input("multiline", default=False), + io.Boolean.Input("dotall", default=False), + ], + outputs=[ + io.Boolean.Output(display_name="matches"), + ] + ) + + @classmethod + def execute(cls, string, regex_pattern, case_insensitive, multiline, dotall): + flags = 0 + + if case_insensitive: + flags |= re.IGNORECASE + if multiline: + flags |= re.MULTILINE + if dotall: + flags |= re.DOTALL + + try: + match = re.search(regex_pattern, string, flags) + result = match is not None + + except re.error: + result = False + + return io.NodeOutput(result) + + +class RegexExtract(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="RegexExtract", + display_name="Regex Extract", + category="utils/string", + inputs=[ + io.String.Input("string", multiline=True), + io.String.Input("regex_pattern", multiline=True), + io.Combo.Input("mode", options=["First Match", "All Matches", "First Group", "All Groups"]), + io.Boolean.Input("case_insensitive", default=True), + io.Boolean.Input("multiline", default=False), + io.Boolean.Input("dotall", default=False), + io.Int.Input("group_index", default=1, min=0, max=100), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string, regex_pattern, mode, case_insensitive, multiline, dotall, group_index): + join_delimiter = "\n" + + flags = 0 + if case_insensitive: + flags |= re.IGNORECASE + if multiline: + flags |= re.MULTILINE + if dotall: + flags |= re.DOTALL + + try: + if mode == "First Match": + match = re.search(regex_pattern, string, flags) + if match: + result = match.group(0) + else: + result = "" + + elif mode == "All Matches": + matches = re.findall(regex_pattern, string, flags) + if matches: + if isinstance(matches[0], tuple): + result = join_delimiter.join([m[0] for m in matches]) + else: + result = join_delimiter.join(matches) + else: + result = "" + + elif mode == "First Group": + match = re.search(regex_pattern, string, flags) + if match and len(match.groups()) >= group_index: + result = match.group(group_index) + else: + result = "" + + elif mode == "All Groups": + matches = re.finditer(regex_pattern, string, flags) + results = [] + for match in matches: + if match.groups() and len(match.groups()) >= group_index: + results.append(match.group(group_index)) + result = join_delimiter.join(results) + else: + result = "" + + except re.error: + result = "" + + return io.NodeOutput(result) + + +class RegexReplace(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="RegexReplace", + display_name="Regex Replace", + category="utils/string", + description="Find and replace text using regex patterns.", + inputs=[ + io.String.Input("string", multiline=True), + io.String.Input("regex_pattern", multiline=True), + io.String.Input("replace", multiline=True), + io.Boolean.Input("case_insensitive", default=True, optional=True), + io.Boolean.Input("multiline", default=False, optional=True), + io.Boolean.Input("dotall", default=False, optional=True, tooltip="When enabled, the dot (.) character will match any character including newline characters. When disabled, dots won't match newlines."), + io.Int.Input("count", default=0, min=0, max=100, optional=True, tooltip="Maximum number of replacements to make. Set to 0 to replace all occurrences (default). Set to 1 to replace only the first match, 2 for the first two matches, etc."), + ], + outputs=[ + io.String.Output(), + ] + ) + + @classmethod + def execute(cls, string, regex_pattern, replace, case_insensitive=True, multiline=False, dotall=False, count=0): + flags = 0 + + if case_insensitive: + flags |= re.IGNORECASE + if multiline: + flags |= re.MULTILINE + if dotall: + flags |= re.DOTALL + result = re.sub(regex_pattern, replace, string, count=count, flags=flags) + return io.NodeOutput(result) + + +class StringExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + StringConcatenate, + StringSubstring, + StringLength, + CaseConverter, + StringTrim, + StringReplace, + StringContains, + StringCompare, + RegexMatch, + RegexExtract, + RegexReplace, + ] + +async def comfy_entrypoint() -> StringExtension: + return StringExtension() diff --git a/comfy_extras/nodes_tcfg.py b/comfy_extras/nodes_tcfg.py new file mode 100644 index 0000000000000000000000000000000000000000..35b89a73f7fbab0d4ad5e922997a88f3ef04ec7f --- /dev/null +++ b/comfy_extras/nodes_tcfg.py @@ -0,0 +1,71 @@ +# TCFG: Tangential Damping Classifier-free Guidance - (arXiv: https://arxiv.org/abs/2503.18137) + +import torch + +from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict + + +def score_tangential_damping(cond_score: torch.Tensor, uncond_score: torch.Tensor) -> torch.Tensor: + """Drop tangential components from uncond score to align with cond score.""" + # (B, 1, ...) + batch_num = cond_score.shape[0] + cond_score_flat = cond_score.reshape(batch_num, 1, -1).float() + uncond_score_flat = uncond_score.reshape(batch_num, 1, -1).float() + + # Score matrix A (B, 2, ...) + score_matrix = torch.cat((uncond_score_flat, cond_score_flat), dim=1) + try: + _, _, Vh = torch.linalg.svd(score_matrix, full_matrices=False) + except RuntimeError: + # Fallback to CPU + _, _, Vh = torch.linalg.svd(score_matrix.cpu(), full_matrices=False) + + # Drop the tangential components + v1 = Vh[:, 0:1, :].to(uncond_score_flat.device) # (B, 1, ...) + uncond_score_td = (uncond_score_flat @ v1.transpose(-2, -1)) * v1 + return uncond_score_td.reshape_as(uncond_score).to(uncond_score.dtype) + + +class TCFG(ComfyNodeABC): + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "model": (IO.MODEL, {}), + } + } + + RETURN_TYPES = (IO.MODEL,) + RETURN_NAMES = ("patched_model",) + FUNCTION = "patch" + + CATEGORY = "advanced/guidance" + DESCRIPTION = "TCFG – Tangential Damping CFG (2503.18137)\n\nRefine the uncond (negative) to align with the cond (positive) for improving quality." + + def patch(self, model): + m = model.clone() + + def tangential_damping_cfg(args): + # Assume [cond, uncond, ...] + x = args["input"] + conds_out = args["conds_out"] + if len(conds_out) <= 1 or None in args["conds"][:2]: + # Skip when either cond or uncond is None + return conds_out + cond_pred = conds_out[0] + uncond_pred = conds_out[1] + uncond_td = score_tangential_damping(x - cond_pred, x - uncond_pred) + uncond_pred_td = x - uncond_td + return [cond_pred, uncond_pred_td] + conds_out[2:] + + m.set_model_sampler_pre_cfg_function(tangential_damping_cfg) + return (m,) + + +NODE_CLASS_MAPPINGS = { + "TCFG": TCFG, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "TCFG": "Tangential Damping CFG", +} diff --git a/comfy_extras/nodes_tomesd.py b/comfy_extras/nodes_tomesd.py new file mode 100644 index 0000000000000000000000000000000000000000..9f77c06fcb12a2dafbb891cbceb50ba8addaa81a --- /dev/null +++ b/comfy_extras/nodes_tomesd.py @@ -0,0 +1,176 @@ +#Taken from: https://github.com/dbolya/tomesd + +import torch +from typing import Tuple, Callable +import math + +def do_nothing(x: torch.Tensor, mode:str=None): + return x + + +def mps_gather_workaround(input, dim, index): + if input.shape[-1] == 1: + return torch.gather( + input.unsqueeze(-1), + dim - 1 if dim < 0 else dim, + index.unsqueeze(-1) + ).squeeze(-1) + else: + return torch.gather(input, dim, index) + + +def bipartite_soft_matching_random2d(metric: torch.Tensor, + w: int, h: int, sx: int, sy: int, r: int, + no_rand: bool = False) -> Tuple[Callable, Callable]: + """ + Partitions the tokens into src and dst and merges r tokens from src to dst. + Dst tokens are partitioned by choosing one randomy in each (sx, sy) region. + Args: + - metric [B, N, C]: metric to use for similarity + - w: image width in tokens + - h: image height in tokens + - sx: stride in the x dimension for dst, must divide w + - sy: stride in the y dimension for dst, must divide h + - r: number of tokens to remove (by merging) + - no_rand: if true, disable randomness (use top left corner only) + """ + B, N, _ = metric.shape + + if r <= 0 or w == 1 or h == 1: + return do_nothing, do_nothing + + gather = mps_gather_workaround if metric.device.type == "mps" else torch.gather + + with torch.no_grad(): + hsy, wsx = h // sy, w // sx + + # For each sy by sx kernel, randomly assign one token to be dst and the rest src + if no_rand: + rand_idx = torch.zeros(hsy, wsx, 1, device=metric.device, dtype=torch.int64) + else: + rand_idx = torch.randint(sy*sx, size=(hsy, wsx, 1), device=metric.device) + + # The image might not divide sx and sy, so we need to work on a view of the top left if the idx buffer instead + idx_buffer_view = torch.zeros(hsy, wsx, sy*sx, device=metric.device, dtype=torch.int64) + idx_buffer_view.scatter_(dim=2, index=rand_idx, src=-torch.ones_like(rand_idx, dtype=rand_idx.dtype)) + idx_buffer_view = idx_buffer_view.view(hsy, wsx, sy, sx).transpose(1, 2).reshape(hsy * sy, wsx * sx) + + # Image is not divisible by sx or sy so we need to move it into a new buffer + if (hsy * sy) < h or (wsx * sx) < w: + idx_buffer = torch.zeros(h, w, device=metric.device, dtype=torch.int64) + idx_buffer[:(hsy * sy), :(wsx * sx)] = idx_buffer_view + else: + idx_buffer = idx_buffer_view + + # We set dst tokens to be -1 and src to be 0, so an argsort gives us dst|src indices + rand_idx = idx_buffer.reshape(1, -1, 1).argsort(dim=1) + + # We're finished with these + del idx_buffer, idx_buffer_view + + # rand_idx is currently dst|src, so split them + num_dst = hsy * wsx + a_idx = rand_idx[:, num_dst:, :] # src + b_idx = rand_idx[:, :num_dst, :] # dst + + def split(x): + C = x.shape[-1] + src = gather(x, dim=1, index=a_idx.expand(B, N - num_dst, C)) + dst = gather(x, dim=1, index=b_idx.expand(B, num_dst, C)) + return src, dst + + # Cosine similarity between A and B + metric = metric / metric.norm(dim=-1, keepdim=True) + a, b = split(metric) + scores = a @ b.transpose(-1, -2) + + # Can't reduce more than the # tokens in src + r = min(a.shape[1], r) + + # Find the most similar greedily + node_max, node_idx = scores.max(dim=-1) + edge_idx = node_max.argsort(dim=-1, descending=True)[..., None] + + unm_idx = edge_idx[..., r:, :] # Unmerged Tokens + src_idx = edge_idx[..., :r, :] # Merged Tokens + dst_idx = gather(node_idx[..., None], dim=-2, index=src_idx) + + def merge(x: torch.Tensor, mode="mean") -> torch.Tensor: + src, dst = split(x) + n, t1, c = src.shape + + unm = gather(src, dim=-2, index=unm_idx.expand(n, t1 - r, c)) + src = gather(src, dim=-2, index=src_idx.expand(n, r, c)) + dst = dst.scatter_reduce(-2, dst_idx.expand(n, r, c), src, reduce=mode) + + return torch.cat([unm, dst], dim=1) + + def unmerge(x: torch.Tensor) -> torch.Tensor: + unm_len = unm_idx.shape[1] + unm, dst = x[..., :unm_len, :], x[..., unm_len:, :] + _, _, c = unm.shape + + src = gather(dst, dim=-2, index=dst_idx.expand(B, r, c)) + + # Combine back to the original shape + out = torch.zeros(B, N, c, device=x.device, dtype=x.dtype) + out.scatter_(dim=-2, index=b_idx.expand(B, num_dst, c), src=dst) + out.scatter_(dim=-2, index=gather(a_idx.expand(B, a_idx.shape[1], 1), dim=1, index=unm_idx).expand(B, unm_len, c), src=unm) + out.scatter_(dim=-2, index=gather(a_idx.expand(B, a_idx.shape[1], 1), dim=1, index=src_idx).expand(B, r, c), src=src) + + return out + + return merge, unmerge + + +def get_functions(x, ratio, original_shape): + b, c, original_h, original_w = original_shape + original_tokens = original_h * original_w + downsample = int(math.ceil(math.sqrt(original_tokens // x.shape[1]))) + stride_x = 2 + stride_y = 2 + max_downsample = 1 + + if downsample <= max_downsample: + w = int(math.ceil(original_w / downsample)) + h = int(math.ceil(original_h / downsample)) + r = int(x.shape[1] * ratio) + no_rand = False + m, u = bipartite_soft_matching_random2d(x, w, h, stride_x, stride_y, r, no_rand) + return m, u + + nothing = lambda y: y + return nothing, nothing + + + +class TomePatchModel: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "ratio": ("FLOAT", {"default": 0.3, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "model_patches/unet" + + def patch(self, model, ratio): + self.u = None + def tomesd_m(q, k, v, extra_options): + #NOTE: In the reference code get_functions takes x (input of the transformer block) as the argument instead of q + #however from my basic testing it seems that using q instead gives better results + m, self.u = get_functions(q, ratio, extra_options["original_shape"]) + return m(q), k, v + def tomesd_u(n, extra_options): + return self.u(n) + + m = model.clone() + m.set_model_attn1_patch(tomesd_m) + m.set_model_attn1_output_patch(tomesd_u) + return (m, ) + + +NODE_CLASS_MAPPINGS = { + "TomePatchModel": TomePatchModel, +} diff --git a/comfy_extras/nodes_torch_compile.py b/comfy_extras/nodes_torch_compile.py new file mode 100644 index 0000000000000000000000000000000000000000..6055366784d0d46de863d8278b0bb2979e904d2a --- /dev/null +++ b/comfy_extras/nodes_torch_compile.py @@ -0,0 +1,23 @@ +from comfy_api.torch_helpers import set_torch_compile_wrapper + + +class TorchCompileModel: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "backend": (["inductor", "cudagraphs"],), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "_for_testing" + EXPERIMENTAL = True + + def patch(self, model, backend): + m = model.clone() + set_torch_compile_wrapper(model=m, backend=backend) + return (m, ) + +NODE_CLASS_MAPPINGS = { + "TorchCompileModel": TorchCompileModel, +} diff --git a/comfy_extras/nodes_train.py b/comfy_extras/nodes_train.py new file mode 100644 index 0000000000000000000000000000000000000000..c3aaaee9b03ae7f33c99260851d03b396eee4403 --- /dev/null +++ b/comfy_extras/nodes_train.py @@ -0,0 +1,877 @@ +import datetime +import json +import logging +import os + +import numpy as np +import safetensors +import torch +from PIL import Image, ImageDraw, ImageFont +from PIL.PngImagePlugin import PngInfo +import torch.utils.checkpoint +import tqdm + +import comfy.samplers +import comfy.sd +import comfy.utils +import comfy.model_management +import comfy_extras.nodes_custom_sampler +import folder_paths +import node_helpers +from comfy.cli_args import args +from comfy.comfy_types.node_typing import IO +from comfy.weight_adapter import adapters, adapter_maps + + +def make_batch_extra_option_dict(d, indicies, full_size=None): + new_dict = {} + for k, v in d.items(): + newv = v + if isinstance(v, dict): + newv = make_batch_extra_option_dict(v, indicies, full_size=full_size) + elif isinstance(v, torch.Tensor): + if full_size is None or v.size(0) == full_size: + newv = v[indicies] + elif isinstance(v, (list, tuple)) and len(v) == full_size: + newv = [v[i] for i in indicies] + new_dict[k] = newv + return new_dict + + +class TrainSampler(comfy.samplers.Sampler): + def __init__(self, loss_fn, optimizer, loss_callback=None, batch_size=1, grad_acc=1, total_steps=1, seed=0, training_dtype=torch.bfloat16): + self.loss_fn = loss_fn + self.optimizer = optimizer + self.loss_callback = loss_callback + self.batch_size = batch_size + self.total_steps = total_steps + self.grad_acc = grad_acc + self.seed = seed + self.training_dtype = training_dtype + + def sample(self, model_wrap, sigmas, extra_args, callback, noise, latent_image=None, denoise_mask=None, disable_pbar=False): + cond = model_wrap.conds["positive"] + dataset_size = sigmas.size(0) + torch.cuda.empty_cache() + for i in (pbar:=tqdm.trange(self.total_steps, desc="Training LoRA", smoothing=0.01, disable=not comfy.utils.PROGRESS_BAR_ENABLED)): + noisegen = comfy_extras.nodes_custom_sampler.Noise_RandomNoise(self.seed + i * 1000) + indicies = torch.randperm(dataset_size)[:self.batch_size].tolist() + + batch_latent = torch.stack([latent_image[i] for i in indicies]) + batch_noise = noisegen.generate_noise({"samples": batch_latent}).to(batch_latent.device) + batch_sigmas = [ + model_wrap.inner_model.model_sampling.percent_to_sigma( + torch.rand((1,)).item() + ) for _ in range(min(self.batch_size, dataset_size)) + ] + batch_sigmas = torch.tensor(batch_sigmas).to(batch_latent.device) + + xt = model_wrap.inner_model.model_sampling.noise_scaling( + batch_sigmas, + batch_noise, + batch_latent, + False + ) + x0 = model_wrap.inner_model.model_sampling.noise_scaling( + torch.zeros_like(batch_sigmas), + torch.zeros_like(batch_noise), + batch_latent, + False + ) + + model_wrap.conds["positive"] = [ + cond[i] for i in indicies + ] + batch_extra_args = make_batch_extra_option_dict(extra_args, indicies, full_size=dataset_size) + + with torch.autocast(xt.device.type, dtype=self.training_dtype): + x0_pred = model_wrap(xt, batch_sigmas, **batch_extra_args) + loss = self.loss_fn(x0_pred, x0) + loss.backward() + if self.loss_callback: + self.loss_callback(loss.item()) + pbar.set_postfix({"loss": f"{loss.item():.4f}"}) + + if (i+1) % self.grad_acc == 0: + self.optimizer.step() + self.optimizer.zero_grad() + torch.cuda.empty_cache() + return torch.zeros_like(latent_image) + + +class BiasDiff(torch.nn.Module): + def __init__(self, bias): + super().__init__() + self.bias = bias + + def __call__(self, b): + org_dtype = b.dtype + return (b.to(self.bias) + self.bias).to(org_dtype) + + def passive_memory_usage(self): + return self.bias.nelement() * self.bias.element_size() + + def move_to(self, device): + self.to(device=device) + return self.passive_memory_usage() + + +def load_and_process_images(image_files, input_dir, resize_method="None", w=None, h=None): + """Utility function to load and process a list of images. + + Args: + image_files: List of image filenames + input_dir: Base directory containing the images + resize_method: How to handle images of different sizes ("None", "Stretch", "Crop", "Pad") + + Returns: + torch.Tensor: Batch of processed images + """ + if not image_files: + raise ValueError("No valid images found in input") + + output_images = [] + + for file in image_files: + image_path = os.path.join(input_dir, file) + img = node_helpers.pillow(Image.open, image_path) + + if img.mode == "I": + img = img.point(lambda i: i * (1 / 255)) + img = img.convert("RGB") + + if w is None and h is None: + w, h = img.size[0], img.size[1] + + # Resize image to first image + if img.size[0] != w or img.size[1] != h: + if resize_method == "Stretch": + img = img.resize((w, h), Image.Resampling.LANCZOS) + elif resize_method == "Crop": + img = img.crop((0, 0, w, h)) + elif resize_method == "Pad": + img = img.resize((w, h), Image.Resampling.LANCZOS) + elif resize_method == "None": + raise ValueError( + "Your input image size does not match the first image in the dataset. Either select a valid resize method or use the same size for all images." + ) + + img_array = np.array(img).astype(np.float32) / 255.0 + img_tensor = torch.from_numpy(img_array)[None,] + output_images.append(img_tensor) + + return torch.cat(output_images, dim=0) + + +class LoadImageSetNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "images": ( + [ + f + for f in os.listdir(folder_paths.get_input_directory()) + if f.endswith((".png", ".jpg", ".jpeg", ".webp", ".bmp", ".gif", ".jpe", ".apng", ".tif", ".tiff")) + ], + {"image_upload": True, "allow_batch": True}, + ) + }, + "optional": { + "resize_method": ( + ["None", "Stretch", "Crop", "Pad"], + {"default": "None"}, + ), + }, + } + + INPUT_IS_LIST = True + RETURN_TYPES = ("IMAGE",) + FUNCTION = "load_images" + CATEGORY = "loaders" + EXPERIMENTAL = True + DESCRIPTION = "Loads a batch of images from a directory for training." + + @classmethod + def VALIDATE_INPUTS(s, images, resize_method): + filenames = images[0] if isinstance(images[0], list) else images + + for image in filenames: + if not folder_paths.exists_annotated_filepath(image): + return "Invalid image file: {}".format(image) + return True + + def load_images(self, input_files, resize_method): + input_dir = folder_paths.get_input_directory() + valid_extensions = [".png", ".jpg", ".jpeg", ".webp", ".bmp", ".gif", ".jpe", ".apng", ".tif", ".tiff"] + image_files = [ + f + for f in input_files + if any(f.lower().endswith(ext) for ext in valid_extensions) + ] + output_tensor = load_and_process_images(image_files, input_dir, resize_method) + return (output_tensor,) + + +class LoadImageSetFromFolderNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "folder": (folder_paths.get_input_subfolders(), {"tooltip": "The folder to load images from."}) + }, + "optional": { + "resize_method": ( + ["None", "Stretch", "Crop", "Pad"], + {"default": "None"}, + ), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "load_images" + CATEGORY = "loaders" + EXPERIMENTAL = True + DESCRIPTION = "Loads a batch of images from a directory for training." + + def load_images(self, folder, resize_method): + sub_input_dir = os.path.join(folder_paths.get_input_directory(), folder) + valid_extensions = [".png", ".jpg", ".jpeg", ".webp"] + image_files = [ + f + for f in os.listdir(sub_input_dir) + if any(f.lower().endswith(ext) for ext in valid_extensions) + ] + output_tensor = load_and_process_images(image_files, sub_input_dir, resize_method) + return (output_tensor,) + + +class LoadImageTextSetFromFolderNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "folder": (folder_paths.get_input_subfolders(), {"tooltip": "The folder to load images from."}), + "clip": (IO.CLIP, {"tooltip": "The CLIP model used for encoding the text."}), + }, + "optional": { + "resize_method": ( + ["None", "Stretch", "Crop", "Pad"], + {"default": "None"}, + ), + "width": ( + IO.INT, + { + "default": -1, + "min": -1, + "max": 10000, + "step": 1, + "tooltip": "The width to resize the images to. -1 means use the original width.", + }, + ), + "height": ( + IO.INT, + { + "default": -1, + "min": -1, + "max": 10000, + "step": 1, + "tooltip": "The height to resize the images to. -1 means use the original height.", + }, + ) + }, + } + + RETURN_TYPES = ("IMAGE", IO.CONDITIONING,) + FUNCTION = "load_images" + CATEGORY = "loaders" + EXPERIMENTAL = True + DESCRIPTION = "Loads a batch of images and caption from a directory for training." + + def load_images(self, folder, clip, resize_method, width=None, height=None): + if clip is None: + raise RuntimeError("ERROR: clip input is invalid: None\n\nIf the clip is from a checkpoint loader node your checkpoint does not contain a valid clip or text encoder model.") + + logging.info(f"Loading images from folder: {folder}") + + sub_input_dir = os.path.join(folder_paths.get_input_directory(), folder) + valid_extensions = [".png", ".jpg", ".jpeg", ".webp"] + + image_files = [] + for item in os.listdir(sub_input_dir): + path = os.path.join(sub_input_dir, item) + if any(item.lower().endswith(ext) for ext in valid_extensions): + image_files.append(path) + elif os.path.isdir(path): + # Support kohya-ss/sd-scripts folder structure + repeat = 1 + if item.split("_")[0].isdigit(): + repeat = int(item.split("_")[0]) + image_files.extend([ + os.path.join(path, f) for f in os.listdir(path) if any(f.lower().endswith(ext) for ext in valid_extensions) + ] * repeat) + + caption_file_path = [ + f.replace(os.path.splitext(f)[1], ".txt") + for f in image_files + ] + captions = [] + for caption_file in caption_file_path: + caption_path = os.path.join(sub_input_dir, caption_file) + if os.path.exists(caption_path): + with open(caption_path, "r", encoding="utf-8") as f: + caption = f.read().strip() + captions.append(caption) + else: + captions.append("") + + width = width if width != -1 else None + height = height if height != -1 else None + output_tensor = load_and_process_images(image_files, sub_input_dir, resize_method, width, height) + + logging.info(f"Loaded {len(output_tensor)} images from {sub_input_dir}.") + + logging.info(f"Encoding captions from {sub_input_dir}.") + conditions = [] + empty_cond = clip.encode_from_tokens_scheduled(clip.tokenize("")) + for text in captions: + if text == "": + conditions.append(empty_cond) + tokens = clip.tokenize(text) + conditions.extend(clip.encode_from_tokens_scheduled(tokens)) + logging.info(f"Encoded {len(conditions)} captions from {sub_input_dir}.") + return (output_tensor, conditions) + + +def draw_loss_graph(loss_map, steps): + width, height = 500, 300 + img = Image.new("RGB", (width, height), "white") + draw = ImageDraw.Draw(img) + + min_loss, max_loss = min(loss_map.values()), max(loss_map.values()) + scaled_loss = [(l - min_loss) / (max_loss - min_loss) for l in loss_map.values()] + + prev_point = (0, height - int(scaled_loss[0] * height)) + for i, l in enumerate(scaled_loss[1:], start=1): + x = int(i / (steps - 1) * width) + y = height - int(l * height) + draw.line([prev_point, (x, y)], fill="blue", width=2) + prev_point = (x, y) + + return img + + +def find_all_highest_child_module_with_forward(model: torch.nn.Module, result = None, name = None): + if result is None: + result = [] + elif hasattr(model, "forward") and not isinstance(model, (torch.nn.ModuleList, torch.nn.Sequential, torch.nn.ModuleDict)): + result.append(model) + logging.debug(f"Found module with forward: {name} ({model.__class__.__name__})") + return result + name = name or "root" + for next_name, child in model.named_children(): + find_all_highest_child_module_with_forward(child, result, f"{name}.{next_name}") + return result + + +def patch(m): + if not hasattr(m, "forward"): + return + org_forward = m.forward + def fwd(args, kwargs): + return org_forward(*args, **kwargs) + def checkpointing_fwd(*args, **kwargs): + return torch.utils.checkpoint.checkpoint( + fwd, args, kwargs, use_reentrant=False + ) + m.org_forward = org_forward + m.forward = checkpointing_fwd + + +def unpatch(m): + if hasattr(m, "org_forward"): + m.forward = m.org_forward + del m.org_forward + + +class TrainLoraNode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": (IO.MODEL, {"tooltip": "The model to train the LoRA on."}), + "latents": ( + "LATENT", + { + "tooltip": "The Latents to use for training, serve as dataset/input of the model." + }, + ), + "positive": ( + IO.CONDITIONING, + {"tooltip": "The positive conditioning to use for training."}, + ), + "batch_size": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 10000, + "step": 1, + "tooltip": "The batch size to use for training.", + }, + ), + "grad_accumulation_steps": ( + IO.INT, + { + "default": 1, + "min": 1, + "max": 1024, + "step": 1, + "tooltip": "The number of gradient accumulation steps to use for training.", + } + ), + "steps": ( + IO.INT, + { + "default": 16, + "min": 1, + "max": 100000, + "tooltip": "The number of steps to train the LoRA for.", + }, + ), + "learning_rate": ( + IO.FLOAT, + { + "default": 0.0005, + "min": 0.0000001, + "max": 1.0, + "step": 0.000001, + "tooltip": "The learning rate to use for training.", + }, + ), + "rank": ( + IO.INT, + { + "default": 8, + "min": 1, + "max": 128, + "tooltip": "The rank of the LoRA layers.", + }, + ), + "optimizer": ( + ["AdamW", "Adam", "SGD", "RMSprop"], + { + "default": "AdamW", + "tooltip": "The optimizer to use for training.", + }, + ), + "loss_function": ( + ["MSE", "L1", "Huber", "SmoothL1"], + { + "default": "MSE", + "tooltip": "The loss function to use for training.", + }, + ), + "seed": ( + IO.INT, + { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF, + "tooltip": "The seed to use for training (used in generator for LoRA weight initialization and noise sampling)", + }, + ), + "training_dtype": ( + ["bf16", "fp32"], + {"default": "bf16", "tooltip": "The dtype to use for training."}, + ), + "lora_dtype": ( + ["bf16", "fp32"], + {"default": "bf16", "tooltip": "The dtype to use for lora."}, + ), + "algorithm": ( + list(adapter_maps.keys()), + {"default": list(adapter_maps.keys())[0], "tooltip": "The algorithm to use for training."}, + ), + "gradient_checkpointing": ( + IO.BOOLEAN, + { + "default": True, + "tooltip": "Use gradient checkpointing for training.", + } + ), + "existing_lora": ( + folder_paths.get_filename_list("loras") + ["[None]"], + { + "default": "[None]", + "tooltip": "The existing LoRA to append to. Set to None for new LoRA.", + }, + ), + }, + } + + RETURN_TYPES = (IO.MODEL, IO.LORA_MODEL, IO.LOSS_MAP, IO.INT) + RETURN_NAMES = ("model_with_lora", "lora", "loss", "steps") + FUNCTION = "train" + CATEGORY = "training" + EXPERIMENTAL = True + + def train( + self, + model, + latents, + positive, + batch_size, + steps, + grad_accumulation_steps, + learning_rate, + rank, + optimizer, + loss_function, + seed, + training_dtype, + lora_dtype, + algorithm, + gradient_checkpointing, + existing_lora, + ): + mp = model.clone() + dtype = node_helpers.string_to_torch_dtype(training_dtype) + lora_dtype = node_helpers.string_to_torch_dtype(lora_dtype) + mp.set_model_compute_dtype(dtype) + + latents = latents["samples"].to(dtype) + num_images = latents.shape[0] + logging.info(f"Total Images: {num_images}, Total Captions: {len(positive)}") + if len(positive) == 1 and num_images > 1: + positive = positive * num_images + elif len(positive) != num_images: + raise ValueError( + f"Number of positive conditions ({len(positive)}) does not match number of images ({num_images})." + ) + + with torch.inference_mode(False): + lora_sd = {} + generator = torch.Generator() + generator.manual_seed(seed) + + # Load existing LoRA weights if provided + existing_weights = {} + existing_steps = 0 + if existing_lora != "[None]": + lora_path = folder_paths.get_full_path_or_raise("loras", existing_lora) + # Extract steps from filename like "trained_lora_10_steps_20250225_203716" + existing_steps = int(existing_lora.split("_steps_")[0].split("_")[-1]) + if lora_path: + existing_weights = comfy.utils.load_torch_file(lora_path) + + all_weight_adapters = [] + for n, m in mp.model.named_modules(): + if hasattr(m, "weight_function"): + if m.weight is not None: + key = "{}.weight".format(n) + shape = m.weight.shape + if len(shape) >= 2: + alpha = float(existing_weights.get(f"{key}.alpha", 1.0)) + dora_scale = existing_weights.get( + f"{key}.dora_scale", None + ) + for adapter_cls in adapters: + existing_adapter = adapter_cls.load( + n, existing_weights, alpha, dora_scale + ) + if existing_adapter is not None: + break + else: + existing_adapter = None + adapter_cls = adapter_maps[algorithm] + + if existing_adapter is not None: + train_adapter = existing_adapter.to_train().to(lora_dtype) + else: + # Use LoRA with alpha=1.0 by default + train_adapter = adapter_cls.create_train( + m.weight, rank=rank, alpha=1.0 + ).to(lora_dtype) + for name, parameter in train_adapter.named_parameters(): + lora_sd[f"{n}.{name}"] = parameter + + mp.add_weight_wrapper(key, train_adapter) + all_weight_adapters.append(train_adapter) + else: + diff = torch.nn.Parameter( + torch.zeros( + m.weight.shape, dtype=lora_dtype, requires_grad=True + ) + ) + diff_module = BiasDiff(diff) + mp.add_weight_wrapper(key, BiasDiff(diff)) + all_weight_adapters.append(diff_module) + lora_sd["{}.diff".format(n)] = diff + if hasattr(m, "bias") and m.bias is not None: + key = "{}.bias".format(n) + bias = torch.nn.Parameter( + torch.zeros(m.bias.shape, dtype=lora_dtype, requires_grad=True) + ) + bias_module = BiasDiff(bias) + lora_sd["{}.diff_b".format(n)] = bias + mp.add_weight_wrapper(key, BiasDiff(bias)) + all_weight_adapters.append(bias_module) + + if optimizer == "Adam": + optimizer = torch.optim.Adam(lora_sd.values(), lr=learning_rate) + elif optimizer == "AdamW": + optimizer = torch.optim.AdamW(lora_sd.values(), lr=learning_rate) + elif optimizer == "SGD": + optimizer = torch.optim.SGD(lora_sd.values(), lr=learning_rate) + elif optimizer == "RMSprop": + optimizer = torch.optim.RMSprop(lora_sd.values(), lr=learning_rate) + + # Setup loss function based on selection + if loss_function == "MSE": + criterion = torch.nn.MSELoss() + elif loss_function == "L1": + criterion = torch.nn.L1Loss() + elif loss_function == "Huber": + criterion = torch.nn.HuberLoss() + elif loss_function == "SmoothL1": + criterion = torch.nn.SmoothL1Loss() + + # setup models + if gradient_checkpointing: + for m in find_all_highest_child_module_with_forward(mp.model.diffusion_model): + patch(m) + mp.model.requires_grad_(False) + comfy.model_management.load_models_gpu([mp], memory_required=1e20, force_full_load=True) + + # Setup sampler and guider like in test script + loss_map = {"loss": []} + def loss_callback(loss): + loss_map["loss"].append(loss) + train_sampler = TrainSampler( + criterion, + optimizer, + loss_callback=loss_callback, + batch_size=batch_size, + grad_acc=grad_accumulation_steps, + total_steps=steps*grad_accumulation_steps, + seed=seed, + training_dtype=dtype + ) + guider = comfy_extras.nodes_custom_sampler.Guider_Basic(mp) + guider.set_conds(positive) # Set conditioning from input + + # Training loop + try: + # Generate dummy sigmas and noise + sigmas = torch.tensor(range(num_images)) + noise = comfy_extras.nodes_custom_sampler.Noise_RandomNoise(seed) + guider.sample( + noise.generate_noise({"samples": latents}), + latents, + train_sampler, + sigmas, + seed=noise.seed + ) + finally: + for m in mp.model.modules(): + unpatch(m) + del train_sampler, optimizer + + for adapter in all_weight_adapters: + adapter.requires_grad_(False) + + for param in lora_sd: + lora_sd[param] = lora_sd[param].to(lora_dtype) + + return (mp, lora_sd, loss_map, steps + existing_steps) + + +class LoraModelLoader: + def __init__(self): + self.loaded_lora = None + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}), + "lora": (IO.LORA_MODEL, {"tooltip": "The LoRA model to apply to the diffusion model."}), + "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the diffusion model. This value can be negative."}), + } + } + + RETURN_TYPES = ("MODEL",) + OUTPUT_TOOLTIPS = ("The modified diffusion model.",) + FUNCTION = "load_lora_model" + + CATEGORY = "loaders" + DESCRIPTION = "Load Trained LoRA weights from Train LoRA node." + EXPERIMENTAL = True + + def load_lora_model(self, model, lora, strength_model): + if strength_model == 0: + return (model, ) + + model_lora, _ = comfy.sd.load_lora_for_models(model, None, lora, strength_model, 0) + return (model_lora, ) + + +class SaveLoRA: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "lora": ( + IO.LORA_MODEL, + { + "tooltip": "The LoRA model to save. Do not use the model with LoRA layers." + }, + ), + "prefix": ( + "STRING", + { + "default": "loras/ComfyUI_trained_lora", + "tooltip": "The prefix to use for the saved LoRA file.", + }, + ), + }, + "optional": { + "steps": ( + IO.INT, + { + "forceInput": True, + "tooltip": "Optional: The number of steps to LoRA has been trained for, used to name the saved file.", + }, + ), + }, + } + + RETURN_TYPES = () + FUNCTION = "save" + CATEGORY = "loaders" + EXPERIMENTAL = True + OUTPUT_NODE = True + + def save(self, lora, prefix, steps=None): + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(prefix, self.output_dir) + if steps is None: + output_checkpoint = f"{filename}_{counter:05}_.safetensors" + else: + output_checkpoint = f"{filename}_{steps}_steps_{counter:05}_.safetensors" + output_checkpoint = os.path.join(full_output_folder, output_checkpoint) + safetensors.torch.save_file(lora, output_checkpoint) + return {} + + +class LossGraphNode: + def __init__(self): + self.output_dir = folder_paths.get_temp_directory() + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "loss": (IO.LOSS_MAP, {"default": {}}), + "filename_prefix": (IO.STRING, {"default": "loss_graph"}), + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + + RETURN_TYPES = () + FUNCTION = "plot_loss" + OUTPUT_NODE = True + CATEGORY = "training" + EXPERIMENTAL = True + DESCRIPTION = "Plots the loss graph and saves it to the output directory." + + def plot_loss(self, loss, filename_prefix, prompt=None, extra_pnginfo=None): + loss_values = loss["loss"] + width, height = 800, 480 + margin = 40 + + img = Image.new( + "RGB", (width + margin, height + margin), "white" + ) # Extend canvas + draw = ImageDraw.Draw(img) + + min_loss, max_loss = min(loss_values), max(loss_values) + scaled_loss = [(l - min_loss) / (max_loss - min_loss) for l in loss_values] + + steps = len(loss_values) + + prev_point = (margin, height - int(scaled_loss[0] * height)) + for i, l in enumerate(scaled_loss[1:], start=1): + x = margin + int(i / steps * width) # Scale X properly + y = height - int(l * height) + draw.line([prev_point, (x, y)], fill="blue", width=2) + prev_point = (x, y) + + draw.line([(margin, 0), (margin, height)], fill="black", width=2) # Y-axis + draw.line( + [(margin, height), (width + margin, height)], fill="black", width=2 + ) # X-axis + + font = None + try: + font = ImageFont.truetype("arial.ttf", 12) + except IOError: + font = ImageFont.load_default() + + # Add axis labels + draw.text((5, height // 2), "Loss", font=font, fill="black") + draw.text((width // 2, height + 10), "Steps", font=font, fill="black") + + # Add min/max loss values + draw.text((margin - 30, 0), f"{max_loss:.2f}", font=font, fill="black") + draw.text( + (margin - 30, height - 10), f"{min_loss:.2f}", font=font, fill="black" + ) + + metadata = None + if not args.disable_metadata: + metadata = PngInfo() + if prompt is not None: + metadata.add_text("prompt", json.dumps(prompt)) + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata.add_text(x, json.dumps(extra_pnginfo[x])) + + date = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") + img.save( + os.path.join(self.output_dir, f"{filename_prefix}_{date}.png"), + pnginfo=metadata, + ) + return { + "ui": { + "images": [ + { + "filename": f"{filename_prefix}_{date}.png", + "subfolder": "", + "type": "temp", + } + ] + } + } + + +NODE_CLASS_MAPPINGS = { + "TrainLoraNode": TrainLoraNode, + "SaveLoRANode": SaveLoRA, + "LoraModelLoader": LoraModelLoader, + "LoadImageSetFromFolderNode": LoadImageSetFromFolderNode, + "LoadImageTextSetFromFolderNode": LoadImageTextSetFromFolderNode, + "LossGraphNode": LossGraphNode, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "TrainLoraNode": "Train LoRA", + "SaveLoRANode": "Save LoRA Weights", + "LoraModelLoader": "Load LoRA Model", + "LoadImageSetFromFolderNode": "Load Image Dataset from Folder", + "LoadImageTextSetFromFolderNode": "Load Image and Text Dataset from Folder", + "LossGraphNode": "Plot Loss Graph", +} diff --git a/comfy_extras/nodes_upscale_model.py b/comfy_extras/nodes_upscale_model.py new file mode 100644 index 0000000000000000000000000000000000000000..04c948341296dfa7e385141498973977c17c906a --- /dev/null +++ b/comfy_extras/nodes_upscale_model.py @@ -0,0 +1,83 @@ +import logging +from spandrel import ModelLoader, ImageModelDescriptor +from comfy import model_management +import torch +import comfy.utils +import folder_paths + +try: + from spandrel_extra_arches import EXTRA_REGISTRY + from spandrel import MAIN_REGISTRY + MAIN_REGISTRY.add(*EXTRA_REGISTRY) + logging.info("Successfully imported spandrel_extra_arches: support for non commercial upscale models.") +except: + pass + +class UpscaleModelLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model_name": (folder_paths.get_filename_list("upscale_models"), ), + }} + RETURN_TYPES = ("UPSCALE_MODEL",) + FUNCTION = "load_model" + + CATEGORY = "loaders" + + def load_model(self, model_name): + model_path = folder_paths.get_full_path_or_raise("upscale_models", model_name) + sd = comfy.utils.load_torch_file(model_path, safe_load=True) + if "module.layers.0.residual_group.blocks.0.norm1.weight" in sd: + sd = comfy.utils.state_dict_prefix_replace(sd, {"module.":""}) + out = ModelLoader().load_from_state_dict(sd).eval() + + if not isinstance(out, ImageModelDescriptor): + raise Exception("Upscale model must be a single-image model.") + + return (out, ) + + +class ImageUpscaleWithModel: + @classmethod + def INPUT_TYPES(s): + return {"required": { "upscale_model": ("UPSCALE_MODEL",), + "image": ("IMAGE",), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + + CATEGORY = "image/upscaling" + + def upscale(self, upscale_model, image): + device = model_management.get_torch_device() + + memory_required = model_management.module_size(upscale_model.model) + memory_required += (512 * 512 * 3) * image.element_size() * max(upscale_model.scale, 1.0) * 384.0 #The 384.0 is an estimate of how much some of these models take, TODO: make it more accurate + memory_required += image.nelement() * image.element_size() + model_management.free_memory(memory_required, device) + + upscale_model.to(device) + in_img = image.movedim(-1,-3).to(device) + + tile = 512 + overlap = 32 + + oom = True + while oom: + try: + steps = in_img.shape[0] * comfy.utils.get_tiled_scale_steps(in_img.shape[3], in_img.shape[2], tile_x=tile, tile_y=tile, overlap=overlap) + pbar = comfy.utils.ProgressBar(steps) + s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar) + oom = False + except model_management.OOM_EXCEPTION as e: + tile //= 2 + if tile < 128: + raise e + + upscale_model.to("cpu") + s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0) + return (s,) + +NODE_CLASS_MAPPINGS = { + "UpscaleModelLoader": UpscaleModelLoader, + "ImageUpscaleWithModel": ImageUpscaleWithModel +} diff --git a/comfy_extras/nodes_video.py b/comfy_extras/nodes_video.py new file mode 100644 index 0000000000000000000000000000000000000000..69fabb12e4428573e3e3c6fd1d1501a21f93f86a --- /dev/null +++ b/comfy_extras/nodes_video.py @@ -0,0 +1,218 @@ +from __future__ import annotations + +import os +import av +import torch +import folder_paths +import json +from typing import Optional +from typing_extensions import override +from fractions import Fraction +from comfy_api.input import AudioInput, ImageInput, VideoInput +from comfy_api.input_impl import VideoFromComponents, VideoFromFile +from comfy_api.util import VideoCodec, VideoComponents, VideoContainer +from comfy_api.latest import ComfyExtension, io, ui +from comfy.cli_args import args + +class SaveWEBM(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="SaveWEBM", + category="image/video", + is_experimental=True, + inputs=[ + io.Image.Input("images"), + io.String.Input("filename_prefix", default="ComfyUI"), + io.Combo.Input("codec", options=["vp9", "av1"]), + io.Float.Input("fps", default=24.0, min=0.01, max=1000.0, step=0.01), + io.Float.Input("crf", default=32.0, min=0, max=63.0, step=1, tooltip="Higher crf means lower quality with a smaller file size, lower crf means higher quality higher filesize."), + ], + outputs=[], + hidden=[io.Hidden.prompt, io.Hidden.extra_pnginfo], + is_output_node=True, + ) + + @classmethod + def execute(cls, images, codec, fps, filename_prefix, crf) -> io.NodeOutput: + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path( + filename_prefix, folder_paths.get_output_directory(), images[0].shape[1], images[0].shape[0] + ) + + file = f"{filename}_{counter:05}_.webm" + container = av.open(os.path.join(full_output_folder, file), mode="w") + + if cls.hidden.prompt is not None: + container.metadata["prompt"] = json.dumps(cls.hidden.prompt) + + if cls.hidden.extra_pnginfo is not None: + for x in cls.hidden.extra_pnginfo: + container.metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x]) + + codec_map = {"vp9": "libvpx-vp9", "av1": "libsvtav1"} + stream = container.add_stream(codec_map[codec], rate=Fraction(round(fps * 1000), 1000)) + stream.width = images.shape[-2] + stream.height = images.shape[-3] + stream.pix_fmt = "yuv420p10le" if codec == "av1" else "yuv420p" + stream.bit_rate = 0 + stream.options = {'crf': str(crf)} + if codec == "av1": + stream.options["preset"] = "6" + + for frame in images: + frame = av.VideoFrame.from_ndarray(torch.clamp(frame[..., :3] * 255, min=0, max=255).to(device=torch.device("cpu"), dtype=torch.uint8).numpy(), format="rgb24") + for packet in stream.encode(frame): + container.mux(packet) + container.mux(stream.encode()) + container.close() + + return io.NodeOutput(ui=ui.PreviewVideo([ui.SavedResult(file, subfolder, io.FolderType.output)])) + +class SaveVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="SaveVideo", + display_name="Save Video", + category="image/video", + description="Saves the input images to your ComfyUI output directory.", + inputs=[ + io.Video.Input("video", tooltip="The video to save."), + io.String.Input("filename_prefix", default="video/ComfyUI", tooltip="The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."), + io.Combo.Input("format", options=VideoContainer.as_input(), default="auto", tooltip="The format to save the video as."), + io.Combo.Input("codec", options=VideoCodec.as_input(), default="auto", tooltip="The codec to use for the video."), + ], + outputs=[], + hidden=[io.Hidden.prompt, io.Hidden.extra_pnginfo], + is_output_node=True, + ) + + @classmethod + def execute(cls, video: VideoInput, filename_prefix, format, codec) -> io.NodeOutput: + width, height = video.get_dimensions() + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path( + filename_prefix, + folder_paths.get_output_directory(), + width, + height + ) + saved_metadata = None + if not args.disable_metadata: + metadata = {} + if cls.hidden.extra_pnginfo is not None: + metadata.update(cls.hidden.extra_pnginfo) + if cls.hidden.prompt is not None: + metadata["prompt"] = cls.hidden.prompt + if len(metadata) > 0: + saved_metadata = metadata + file = f"{filename}_{counter:05}_.{VideoContainer.get_extension(format)}" + video.save_to( + os.path.join(full_output_folder, file), + format=format, + codec=codec, + metadata=saved_metadata + ) + + return io.NodeOutput(ui=ui.PreviewVideo([ui.SavedResult(file, subfolder, io.FolderType.output)])) + + +class CreateVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="CreateVideo", + display_name="Create Video", + category="image/video", + description="Create a video from images.", + inputs=[ + io.Image.Input("images", tooltip="The images to create a video from."), + io.Float.Input("fps", default=30.0, min=1.0, max=120.0, step=1.0), + io.Audio.Input("audio", optional=True, tooltip="The audio to add to the video."), + ], + outputs=[ + io.Video.Output(), + ], + ) + + @classmethod + def execute(cls, images: ImageInput, fps: float, audio: Optional[AudioInput] = None) -> io.NodeOutput: + return io.NodeOutput( + VideoFromComponents(VideoComponents(images=images, audio=audio, frame_rate=Fraction(fps))) + ) + +class GetVideoComponents(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="GetVideoComponents", + display_name="Get Video Components", + category="image/video", + description="Extracts all components from a video: frames, audio, and framerate.", + inputs=[ + io.Video.Input("video", tooltip="The video to extract components from."), + ], + outputs=[ + io.Image.Output(display_name="images"), + io.Audio.Output(display_name="audio"), + io.Float.Output(display_name="fps"), + ], + ) + + @classmethod + def execute(cls, video: VideoInput) -> io.NodeOutput: + components = video.get_components() + + return io.NodeOutput(components.images, components.audio, float(components.frame_rate)) + +class LoadVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + input_dir = folder_paths.get_input_directory() + files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))] + files = folder_paths.filter_files_content_types(files, ["video"]) + return io.Schema( + node_id="LoadVideo", + display_name="Load Video", + category="image/video", + inputs=[ + io.Combo.Input("file", options=sorted(files), upload=io.UploadType.video), + ], + outputs=[ + io.Video.Output(), + ], + ) + + @classmethod + def execute(cls, file) -> io.NodeOutput: + video_path = folder_paths.get_annotated_filepath(file) + return io.NodeOutput(VideoFromFile(video_path)) + + @classmethod + def fingerprint_inputs(s, file): + video_path = folder_paths.get_annotated_filepath(file) + mod_time = os.path.getmtime(video_path) + # Instead of hashing the file, we can just use the modification time to avoid + # rehashing large files. + return mod_time + + @classmethod + def validate_inputs(s, file): + if not folder_paths.exists_annotated_filepath(file): + return "Invalid video file: {}".format(file) + + return True + + +class VideoExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + SaveWEBM, + SaveVideo, + CreateVideo, + GetVideoComponents, + LoadVideo, + ] + +async def comfy_entrypoint() -> VideoExtension: + return VideoExtension() diff --git a/comfy_extras/nodes_video_model.py b/comfy_extras/nodes_video_model.py new file mode 100644 index 0000000000000000000000000000000000000000..0f760aa26627f7dcc9e0d4483e05dae1326a4c66 --- /dev/null +++ b/comfy_extras/nodes_video_model.py @@ -0,0 +1,161 @@ +import nodes +import torch +import comfy.utils +import comfy.sd +import folder_paths +import comfy_extras.nodes_model_merging +import node_helpers + + +class ImageOnlyCheckpointLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ), + }} + RETURN_TYPES = ("MODEL", "CLIP_VISION", "VAE") + FUNCTION = "load_checkpoint" + + CATEGORY = "loaders/video_models" + + def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True): + ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name) + out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=False, output_clipvision=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) + return (out[0], out[3], out[2]) + + +class SVD_img2vid_Conditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_vision": ("CLIP_VISION",), + "init_image": ("IMAGE",), + "vae": ("VAE",), + "width": ("INT", {"default": 1024, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 576, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 8}), + "video_frames": ("INT", {"default": 14, "min": 1, "max": 4096}), + "motion_bucket_id": ("INT", {"default": 127, "min": 1, "max": 1023}), + "fps": ("INT", {"default": 6, "min": 1, "max": 1024}), + "augmentation_level": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 10.0, "step": 0.01}) + }} + RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + + FUNCTION = "encode" + + CATEGORY = "conditioning/video_models" + + def encode(self, clip_vision, init_image, vae, width, height, video_frames, motion_bucket_id, fps, augmentation_level): + output = clip_vision.encode_image(init_image) + pooled = output.image_embeds.unsqueeze(0) + pixels = comfy.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1) + encode_pixels = pixels[:,:,:,:3] + if augmentation_level > 0: + encode_pixels += torch.randn_like(pixels) * augmentation_level + t = vae.encode(encode_pixels) + positive = [[pooled, {"motion_bucket_id": motion_bucket_id, "fps": fps, "augmentation_level": augmentation_level, "concat_latent_image": t}]] + negative = [[torch.zeros_like(pooled), {"motion_bucket_id": motion_bucket_id, "fps": fps, "augmentation_level": augmentation_level, "concat_latent_image": torch.zeros_like(t)}]] + latent = torch.zeros([video_frames, 4, height // 8, width // 8]) + return (positive, negative, {"samples":latent}) + +class VideoLinearCFGGuidance: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "min_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "sampling/video_models" + + def patch(self, model, min_cfg): + def linear_cfg(args): + cond = args["cond"] + uncond = args["uncond"] + cond_scale = args["cond_scale"] + + scale = torch.linspace(min_cfg, cond_scale, cond.shape[0], device=cond.device).reshape((cond.shape[0], 1, 1, 1)) + return uncond + scale * (cond - uncond) + + m = model.clone() + m.set_model_sampler_cfg_function(linear_cfg) + return (m, ) + +class VideoTriangleCFGGuidance: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "min_cfg": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "patch" + + CATEGORY = "sampling/video_models" + + def patch(self, model, min_cfg): + def linear_cfg(args): + cond = args["cond"] + uncond = args["uncond"] + cond_scale = args["cond_scale"] + period = 1.0 + values = torch.linspace(0, 1, cond.shape[0], device=cond.device) + values = 2 * (values / period - torch.floor(values / period + 0.5)).abs() + scale = (values * (cond_scale - min_cfg) + min_cfg).reshape((cond.shape[0], 1, 1, 1)) + + return uncond + scale * (cond - uncond) + + m = model.clone() + m.set_model_sampler_cfg_function(linear_cfg) + return (m, ) + +class ImageOnlyCheckpointSave(comfy_extras.nodes_model_merging.CheckpointSave): + CATEGORY = "advanced/model_merging" + + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "clip_vision": ("CLIP_VISION",), + "vae": ("VAE",), + "filename_prefix": ("STRING", {"default": "checkpoints/ComfyUI"}),}, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},} + + def save(self, model, clip_vision, vae, filename_prefix, prompt=None, extra_pnginfo=None): + comfy_extras.nodes_model_merging.save_checkpoint(model, clip_vision=clip_vision, vae=vae, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo) + return {} + + +class ConditioningSetAreaPercentageVideo: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "width": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}), + "height": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}), + "temporal": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}), + "x": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}), + "y": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}), + "z": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "conditioning" + + def append(self, conditioning, width, height, temporal, x, y, z, strength): + c = node_helpers.conditioning_set_values(conditioning, {"area": ("percentage", temporal, height, width, z, y, x), + "strength": strength, + "set_area_to_bounds": False}) + return (c, ) + + +NODE_CLASS_MAPPINGS = { + "ImageOnlyCheckpointLoader": ImageOnlyCheckpointLoader, + "SVD_img2vid_Conditioning": SVD_img2vid_Conditioning, + "VideoLinearCFGGuidance": VideoLinearCFGGuidance, + "VideoTriangleCFGGuidance": VideoTriangleCFGGuidance, + "ImageOnlyCheckpointSave": ImageOnlyCheckpointSave, + "ConditioningSetAreaPercentageVideo": ConditioningSetAreaPercentageVideo, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "ImageOnlyCheckpointLoader": "Image Only Checkpoint Loader (img2vid model)", +} diff --git a/comfy_extras/nodes_wan.py b/comfy_extras/nodes_wan.py new file mode 100644 index 0000000000000000000000000000000000000000..4f73369f5b0342f6fb244c838c85d100c22cda89 --- /dev/null +++ b/comfy_extras/nodes_wan.py @@ -0,0 +1,1082 @@ +import math +import nodes +import node_helpers +import torch +import comfy.model_management +import comfy.utils +import comfy.latent_formats +import comfy.clip_vision +import json +import numpy as np +from typing import Tuple +from typing_extensions import override +from comfy_api.latest import ComfyExtension, io + +class WanImageToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanImageToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.ClipVisionOutput.Input("clip_vision_output", optional=True), + io.Image.Input("start_image", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, start_image=None, clip_vision_output=None) -> io.NodeOutput: + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + image = torch.ones((length, height, width, start_image.shape[-1]), device=start_image.device, dtype=start_image.dtype) * 0.5 + image[:start_image.shape[0]] = start_image + + concat_latent_image = vae.encode(image[:, :, :, :3]) + mask = torch.ones((1, 1, latent.shape[2], concat_latent_image.shape[-2], concat_latent_image.shape[-1]), device=start_image.device, dtype=start_image.dtype) + mask[:, :, :((start_image.shape[0] - 1) // 4) + 1] = 0.0 + + positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": concat_latent_image, "concat_mask": mask}) + negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": concat_latent_image, "concat_mask": mask}) + + if clip_vision_output is not None: + positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output}) + negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output}) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent) + + +class WanFunControlToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanFunControlToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.ClipVisionOutput.Input("clip_vision_output", optional=True), + io.Image.Input("start_image", optional=True), + io.Image.Input("control_video", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, start_image=None, clip_vision_output=None, control_video=None) -> io.NodeOutput: + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + concat_latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + concat_latent = comfy.latent_formats.Wan21().process_out(concat_latent) + concat_latent = concat_latent.repeat(1, 2, 1, 1, 1) + + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + concat_latent_image = vae.encode(start_image[:, :, :, :3]) + concat_latent[:,16:,:concat_latent_image.shape[2]] = concat_latent_image[:,:,:concat_latent.shape[2]] + + if control_video is not None: + control_video = comfy.utils.common_upscale(control_video[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + concat_latent_image = vae.encode(control_video[:, :, :, :3]) + concat_latent[:,:16,:concat_latent_image.shape[2]] = concat_latent_image[:,:,:concat_latent.shape[2]] + + positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": concat_latent}) + negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": concat_latent}) + + if clip_vision_output is not None: + positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output}) + negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output}) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent) + +class Wan22FunControlToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="Wan22FunControlToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Image.Input("ref_image", optional=True), + io.Image.Input("control_video", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, ref_image=None, start_image=None, control_video=None) -> io.NodeOutput: + spacial_scale = vae.spacial_compression_encode() + latent_channels = vae.latent_channels + latent = torch.zeros([batch_size, latent_channels, ((length - 1) // 4) + 1, height // spacial_scale, width // spacial_scale], device=comfy.model_management.intermediate_device()) + concat_latent = torch.zeros([batch_size, latent_channels, ((length - 1) // 4) + 1, height // spacial_scale, width // spacial_scale], device=comfy.model_management.intermediate_device()) + if latent_channels == 48: + concat_latent = comfy.latent_formats.Wan22().process_out(concat_latent) + else: + concat_latent = comfy.latent_formats.Wan21().process_out(concat_latent) + concat_latent = concat_latent.repeat(1, 2, 1, 1, 1) + mask = torch.ones((1, 1, latent.shape[2] * 4, latent.shape[-2], latent.shape[-1])) + + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + concat_latent_image = vae.encode(start_image[:, :, :, :3]) + concat_latent[:,latent_channels:,:concat_latent_image.shape[2]] = concat_latent_image[:,:,:concat_latent.shape[2]] + mask[:, :, :start_image.shape[0] + 3] = 0.0 + + ref_latent = None + if ref_image is not None: + ref_image = comfy.utils.common_upscale(ref_image[:1].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + ref_latent = vae.encode(ref_image[:, :, :, :3]) + + if control_video is not None: + control_video = comfy.utils.common_upscale(control_video[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + concat_latent_image = vae.encode(control_video[:, :, :, :3]) + concat_latent[:,:latent_channels,:concat_latent_image.shape[2]] = concat_latent_image[:,:,:concat_latent.shape[2]] + + mask = mask.view(1, mask.shape[2] // 4, 4, mask.shape[3], mask.shape[4]).transpose(1, 2) + positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": concat_latent, "concat_mask": mask, "concat_mask_index": latent_channels}) + negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": concat_latent, "concat_mask": mask, "concat_mask_index": latent_channels}) + + if ref_latent is not None: + positive = node_helpers.conditioning_set_values(positive, {"reference_latents": [ref_latent]}, append=True) + negative = node_helpers.conditioning_set_values(negative, {"reference_latents": [ref_latent]}, append=True) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent) + +class WanFirstLastFrameToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanFirstLastFrameToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.ClipVisionOutput.Input("clip_vision_start_image", optional=True), + io.ClipVisionOutput.Input("clip_vision_end_image", optional=True), + io.Image.Input("start_image", optional=True), + io.Image.Input("end_image", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, start_image=None, end_image=None, clip_vision_start_image=None, clip_vision_end_image=None) -> io.NodeOutput: + spacial_scale = vae.spacial_compression_encode() + latent = torch.zeros([batch_size, vae.latent_channels, ((length - 1) // 4) + 1, height // spacial_scale, width // spacial_scale], device=comfy.model_management.intermediate_device()) + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + if end_image is not None: + end_image = comfy.utils.common_upscale(end_image[-length:].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + + image = torch.ones((length, height, width, 3)) * 0.5 + mask = torch.ones((1, 1, latent.shape[2] * 4, latent.shape[-2], latent.shape[-1])) + + if start_image is not None: + image[:start_image.shape[0]] = start_image + mask[:, :, :start_image.shape[0] + 3] = 0.0 + + if end_image is not None: + image[-end_image.shape[0]:] = end_image + mask[:, :, -end_image.shape[0]:] = 0.0 + + concat_latent_image = vae.encode(image[:, :, :, :3]) + mask = mask.view(1, mask.shape[2] // 4, 4, mask.shape[3], mask.shape[4]).transpose(1, 2) + positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": concat_latent_image, "concat_mask": mask}) + negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": concat_latent_image, "concat_mask": mask}) + + clip_vision_output = None + if clip_vision_start_image is not None: + clip_vision_output = clip_vision_start_image + + if clip_vision_end_image is not None: + if clip_vision_output is not None: + states = torch.cat([clip_vision_output.penultimate_hidden_states, clip_vision_end_image.penultimate_hidden_states], dim=-2) + clip_vision_output = comfy.clip_vision.Output() + clip_vision_output.penultimate_hidden_states = states + else: + clip_vision_output = clip_vision_end_image + + if clip_vision_output is not None: + positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output}) + negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output}) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent) + + +class WanFunInpaintToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanFunInpaintToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.ClipVisionOutput.Input("clip_vision_output", optional=True), + io.Image.Input("start_image", optional=True), + io.Image.Input("end_image", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, start_image=None, end_image=None, clip_vision_output=None) -> io.NodeOutput: + flfv = WanFirstLastFrameToVideo() + return flfv.execute(positive, negative, vae, width, height, length, batch_size, start_image=start_image, end_image=end_image, clip_vision_start_image=clip_vision_output) + + +class WanVaceToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanVaceToVideo", + category="conditioning/video_models", + is_experimental=True, + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Float.Input("strength", default=1.0, min=0.0, max=1000.0, step=0.01), + io.Image.Input("control_video", optional=True), + io.Mask.Input("control_masks", optional=True), + io.Image.Input("reference_image", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + io.Int.Output(display_name="trim_latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, strength, control_video=None, control_masks=None, reference_image=None) -> io.NodeOutput: + latent_length = ((length - 1) // 4) + 1 + if control_video is not None: + control_video = comfy.utils.common_upscale(control_video[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + if control_video.shape[0] < length: + control_video = torch.nn.functional.pad(control_video, (0, 0, 0, 0, 0, 0, 0, length - control_video.shape[0]), value=0.5) + else: + control_video = torch.ones((length, height, width, 3)) * 0.5 + + if reference_image is not None: + reference_image = comfy.utils.common_upscale(reference_image[:1].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + reference_image = vae.encode(reference_image[:, :, :, :3]) + reference_image = torch.cat([reference_image, comfy.latent_formats.Wan21().process_out(torch.zeros_like(reference_image))], dim=1) + + if control_masks is None: + mask = torch.ones((length, height, width, 1)) + else: + mask = control_masks + if mask.ndim == 3: + mask = mask.unsqueeze(1) + mask = comfy.utils.common_upscale(mask[:length], width, height, "bilinear", "center").movedim(1, -1) + if mask.shape[0] < length: + mask = torch.nn.functional.pad(mask, (0, 0, 0, 0, 0, 0, 0, length - mask.shape[0]), value=1.0) + + control_video = control_video - 0.5 + inactive = (control_video * (1 - mask)) + 0.5 + reactive = (control_video * mask) + 0.5 + + inactive = vae.encode(inactive[:, :, :, :3]) + reactive = vae.encode(reactive[:, :, :, :3]) + control_video_latent = torch.cat((inactive, reactive), dim=1) + if reference_image is not None: + control_video_latent = torch.cat((reference_image, control_video_latent), dim=2) + + vae_stride = 8 + height_mask = height // vae_stride + width_mask = width // vae_stride + mask = mask.view(length, height_mask, vae_stride, width_mask, vae_stride) + mask = mask.permute(2, 4, 0, 1, 3) + mask = mask.reshape(vae_stride * vae_stride, length, height_mask, width_mask) + mask = torch.nn.functional.interpolate(mask.unsqueeze(0), size=(latent_length, height_mask, width_mask), mode='nearest-exact').squeeze(0) + + trim_latent = 0 + if reference_image is not None: + mask_pad = torch.zeros_like(mask[:, :reference_image.shape[2], :, :]) + mask = torch.cat((mask_pad, mask), dim=1) + latent_length += reference_image.shape[2] + trim_latent = reference_image.shape[2] + + mask = mask.unsqueeze(0) + + positive = node_helpers.conditioning_set_values(positive, {"vace_frames": [control_video_latent], "vace_mask": [mask], "vace_strength": [strength]}, append=True) + negative = node_helpers.conditioning_set_values(negative, {"vace_frames": [control_video_latent], "vace_mask": [mask], "vace_strength": [strength]}, append=True) + + latent = torch.zeros([batch_size, 16, latent_length, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent, trim_latent) + +class TrimVideoLatent(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="TrimVideoLatent", + category="latent/video", + is_experimental=True, + inputs=[ + io.Latent.Input("samples"), + io.Int.Input("trim_amount", default=0, min=0, max=99999), + ], + outputs=[ + io.Latent.Output(), + ], + ) + + @classmethod + def execute(cls, samples, trim_amount) -> io.NodeOutput: + samples_out = samples.copy() + + s1 = samples["samples"] + samples_out["samples"] = s1[:, :, trim_amount:] + return io.NodeOutput(samples_out) + +class WanCameraImageToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanCameraImageToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.ClipVisionOutput.Input("clip_vision_output", optional=True), + io.Image.Input("start_image", optional=True), + io.WanCameraEmbedding.Input("camera_conditions", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, start_image=None, clip_vision_output=None, camera_conditions=None) -> io.NodeOutput: + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + concat_latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + concat_latent = comfy.latent_formats.Wan21().process_out(concat_latent) + + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + concat_latent_image = vae.encode(start_image[:, :, :, :3]) + concat_latent[:,:,:concat_latent_image.shape[2]] = concat_latent_image[:,:,:concat_latent.shape[2]] + mask = torch.ones((1, 1, latent.shape[2] * 4, latent.shape[-2], latent.shape[-1])) + mask[:, :, :start_image.shape[0] + 3] = 0.0 + mask = mask.view(1, mask.shape[2] // 4, 4, mask.shape[3], mask.shape[4]).transpose(1, 2) + + positive = node_helpers.conditioning_set_values(positive, {"concat_latent_image": concat_latent, "concat_mask": mask}) + negative = node_helpers.conditioning_set_values(negative, {"concat_latent_image": concat_latent, "concat_mask": mask}) + + if camera_conditions is not None: + positive = node_helpers.conditioning_set_values(positive, {'camera_conditions': camera_conditions}) + negative = node_helpers.conditioning_set_values(negative, {'camera_conditions': camera_conditions}) + + if clip_vision_output is not None: + positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output}) + negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output}) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent) + +class WanPhantomSubjectToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanPhantomSubjectToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Image.Input("images", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative_text"), + io.Conditioning.Output(display_name="negative_img_text"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, images) -> io.NodeOutput: + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + cond2 = negative + if images is not None: + images = comfy.utils.common_upscale(images[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + latent_images = [] + for i in images: + latent_images += [vae.encode(i.unsqueeze(0)[:, :, :, :3])] + concat_latent_image = torch.cat(latent_images, dim=2) + + positive = node_helpers.conditioning_set_values(positive, {"time_dim_concat": concat_latent_image}) + cond2 = node_helpers.conditioning_set_values(negative, {"time_dim_concat": concat_latent_image}) + negative = node_helpers.conditioning_set_values(negative, {"time_dim_concat": comfy.latent_formats.Wan21().process_out(torch.zeros_like(concat_latent_image))}) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, cond2, negative, out_latent) + +def parse_json_tracks(tracks): + """Parse JSON track data into a standardized format""" + tracks_data = [] + try: + # If tracks is a string, try to parse it as JSON + if isinstance(tracks, str): + parsed = json.loads(tracks.replace("'", '"')) + tracks_data.extend(parsed) + else: + # If tracks is a list of strings, parse each one + for track_str in tracks: + parsed = json.loads(track_str.replace("'", '"')) + tracks_data.append(parsed) + + # Check if we have a single track (dict with x,y) or a list of tracks + if tracks_data and isinstance(tracks_data[0], dict) and 'x' in tracks_data[0]: + # Single track detected, wrap it in a list + tracks_data = [tracks_data] + elif tracks_data and isinstance(tracks_data[0], list) and tracks_data[0] and isinstance(tracks_data[0][0], dict) and 'x' in tracks_data[0][0]: + # Already a list of tracks, nothing to do + pass + else: + # Unexpected format + pass + + except json.JSONDecodeError: + tracks_data = [] + return tracks_data + +def process_tracks(tracks_np: np.ndarray, frame_size: Tuple[int, int], num_frames, quant_multi: int = 8, **kwargs): + # tracks: shape [t, h, w, 3] => samples align with 24 fps, model trained with 16 fps. + # frame_size: tuple (W, H) + tracks = torch.from_numpy(tracks_np).float() + + if tracks.shape[1] == 121: + tracks = torch.permute(tracks, (1, 0, 2, 3)) + + tracks, visibles = tracks[..., :2], tracks[..., 2:3] + + short_edge = min(*frame_size) + + frame_center = torch.tensor([*frame_size]).type_as(tracks) / 2 + tracks = tracks - frame_center + + tracks = tracks / short_edge * 2 + + visibles = visibles * 2 - 1 + + trange = torch.linspace(-1, 1, tracks.shape[0]).view(-1, 1, 1, 1).expand(*visibles.shape) + + out_ = torch.cat([trange, tracks, visibles], dim=-1).view(121, -1, 4) + + out_0 = out_[:1] + + out_l = out_[1:] # 121 => 120 | 1 + a = 120 // math.gcd(120, num_frames) + b = num_frames // math.gcd(120, num_frames) + out_l = torch.repeat_interleave(out_l, b, dim=0)[1::a] # 120 => 120 * b => 120 * b / a == F + + final_result = torch.cat([out_0, out_l], dim=0) + + return final_result + +FIXED_LENGTH = 121 +def pad_pts(tr): + """Convert list of {x,y} to (FIXED_LENGTH,1,3) array, padding/truncating.""" + pts = np.array([[p['x'], p['y'], 1] for p in tr], dtype=np.float32) + n = pts.shape[0] + if n < FIXED_LENGTH: + pad = np.zeros((FIXED_LENGTH - n, 3), dtype=np.float32) + pts = np.vstack((pts, pad)) + else: + pts = pts[:FIXED_LENGTH] + return pts.reshape(FIXED_LENGTH, 1, 3) + +def ind_sel(target: torch.Tensor, ind: torch.Tensor, dim: int = 1): + """Index selection utility function""" + assert ( + len(ind.shape) > dim + ), "Index must have the target dim, but get dim: %d, ind shape: %s" % (dim, str(ind.shape)) + + target = target.expand( + *tuple( + [ind.shape[k] if target.shape[k] == 1 else -1 for k in range(dim)] + + [ + -1, + ] + * (len(target.shape) - dim) + ) + ) + + ind_pad = ind + + if len(target.shape) > dim + 1: + for _ in range(len(target.shape) - (dim + 1)): + ind_pad = ind_pad.unsqueeze(-1) + ind_pad = ind_pad.expand(*(-1,) * (dim + 1), *target.shape[(dim + 1) : :]) + + return torch.gather(target, dim=dim, index=ind_pad) + +def merge_final(vert_attr: torch.Tensor, weight: torch.Tensor, vert_assign: torch.Tensor): + """Merge vertex attributes with weights""" + target_dim = len(vert_assign.shape) - 1 + if len(vert_attr.shape) == 2: + assert vert_attr.shape[0] > vert_assign.max() + new_shape = [1] * target_dim + list(vert_attr.shape) + tensor = vert_attr.reshape(new_shape) + sel_attr = ind_sel(tensor, vert_assign.type(torch.long), dim=target_dim) + else: + assert vert_attr.shape[1] > vert_assign.max() + new_shape = [vert_attr.shape[0]] + [1] * (target_dim - 1) + list(vert_attr.shape[1:]) + tensor = vert_attr.reshape(new_shape) + sel_attr = ind_sel(tensor, vert_assign.type(torch.long), dim=target_dim) + + final_attr = torch.sum(sel_attr * weight.unsqueeze(-1), dim=-2) + return final_attr + + +def _patch_motion_single( + tracks: torch.FloatTensor, # (B, T, N, 4) + vid: torch.FloatTensor, # (C, T, H, W) + temperature: float, + vae_divide: tuple, + topk: int, +): + """Apply motion patching based on tracks""" + _, T, H, W = vid.shape + N = tracks.shape[2] + _, tracks_xy, visible = torch.split( + tracks, [1, 2, 1], dim=-1 + ) # (B, T, N, 2) | (B, T, N, 1) + tracks_n = tracks_xy / torch.tensor([W / min(H, W), H / min(H, W)], device=tracks_xy.device) + tracks_n = tracks_n.clamp(-1, 1) + visible = visible.clamp(0, 1) + + xx = torch.linspace(-W / min(H, W), W / min(H, W), W) + yy = torch.linspace(-H / min(H, W), H / min(H, W), H) + + grid = torch.stack(torch.meshgrid(yy, xx, indexing="ij")[::-1], dim=-1).to( + tracks_xy.device + ) + + tracks_pad = tracks_xy[:, 1:] + visible_pad = visible[:, 1:] + + visible_align = visible_pad.view(T - 1, 4, *visible_pad.shape[2:]).sum(1) + tracks_align = (tracks_pad * visible_pad).view(T - 1, 4, *tracks_pad.shape[2:]).sum( + 1 + ) / (visible_align + 1e-5) + dist_ = ( + (tracks_align[:, None, None] - grid[None, :, :, None]).pow(2).sum(-1) + ) # T, H, W, N + weight = torch.exp(-dist_ * temperature) * visible_align.clamp(0, 1).view( + T - 1, 1, 1, N + ) + vert_weight, vert_index = torch.topk( + weight, k=min(topk, weight.shape[-1]), dim=-1 + ) + + grid_mode = "bilinear" + point_feature = torch.nn.functional.grid_sample( + vid.permute(1, 0, 2, 3)[:1], + tracks_n[:, :1].type(vid.dtype), + mode=grid_mode, + padding_mode="zeros", + align_corners=False, + ) + point_feature = point_feature.squeeze(0).squeeze(1).permute(1, 0) # N, C=16 + + out_feature = merge_final(point_feature, vert_weight, vert_index).permute(3, 0, 1, 2) # T - 1, H, W, C => C, T - 1, H, W + out_weight = vert_weight.sum(-1) # T - 1, H, W + + # out feature -> already soft weighted + mix_feature = out_feature + vid[:, 1:] * (1 - out_weight.clamp(0, 1)) + + out_feature_full = torch.cat([vid[:, :1], mix_feature], dim=1) # C, T, H, W + out_mask_full = torch.cat([torch.ones_like(out_weight[:1]), out_weight], dim=0) # T, H, W + + return out_mask_full[None].expand(vae_divide[0], -1, -1, -1), out_feature_full + + +def patch_motion( + tracks: torch.FloatTensor, # (B, TB, T, N, 4) + vid: torch.FloatTensor, # (C, T, H, W) + temperature: float = 220.0, + vae_divide: tuple = (4, 16), + topk: int = 2, +): + B = len(tracks) + + # Process each batch separately + out_masks = [] + out_features = [] + + for b in range(B): + mask, feature = _patch_motion_single( + tracks[b], # (T, N, 4) + vid[b], # (C, T, H, W) + temperature, + vae_divide, + topk + ) + out_masks.append(mask) + out_features.append(feature) + + # Stack results: (B, C, T, H, W) + out_mask_full = torch.stack(out_masks, dim=0) + out_feature_full = torch.stack(out_features, dim=0) + + return out_mask_full, out_feature_full + +class WanTrackToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanTrackToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.String.Input("tracks", multiline=True, default="[]"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=81, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Float.Input("temperature", default=220.0, min=1.0, max=1000.0, step=0.1), + io.Int.Input("topk", default=2, min=1, max=10), + io.Image.Input("start_image"), + io.ClipVisionOutput.Input("clip_vision_output", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + ) + + @classmethod + def execute(cls, positive, negative, vae, tracks, width, height, length, batch_size, + temperature, topk, start_image=None, clip_vision_output=None) -> io.NodeOutput: + + tracks_data = parse_json_tracks(tracks) + + if not tracks_data: + return WanImageToVideo().execute(positive, negative, vae, width, height, length, batch_size, start_image=start_image, clip_vision_output=clip_vision_output) + + latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], + device=comfy.model_management.intermediate_device()) + + if isinstance(tracks_data[0][0], dict): + tracks_data = [tracks_data] + + processed_tracks = [] + for batch in tracks_data: + arrs = [] + for track in batch: + pts = pad_pts(track) + arrs.append(pts) + + tracks_np = np.stack(arrs, axis=0) + processed_tracks.append(process_tracks(tracks_np, (width, height), length - 1).unsqueeze(0)) + + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:batch_size].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + videos = torch.ones((start_image.shape[0], length, height, width, start_image.shape[-1]), device=start_image.device, dtype=start_image.dtype) * 0.5 + for i in range(start_image.shape[0]): + videos[i, 0] = start_image[i] + + latent_videos = [] + videos = comfy.utils.resize_to_batch_size(videos, batch_size) + for i in range(batch_size): + latent_videos += [vae.encode(videos[i, :, :, :, :3])] + y = torch.cat(latent_videos, dim=0) + + # Scale latent since patch_motion is non-linear + y = comfy.latent_formats.Wan21().process_in(y) + + processed_tracks = comfy.utils.resize_list_to_batch_size(processed_tracks, batch_size) + res = patch_motion( + processed_tracks, y, temperature=temperature, topk=topk, vae_divide=(4, 16) + ) + + mask, concat_latent_image = res + concat_latent_image = comfy.latent_formats.Wan21().process_out(concat_latent_image) + mask = -mask + 1.0 # Invert mask to match expected format + positive = node_helpers.conditioning_set_values(positive, + {"concat_mask": mask, + "concat_latent_image": concat_latent_image}) + negative = node_helpers.conditioning_set_values(negative, + {"concat_mask": mask, + "concat_latent_image": concat_latent_image}) + + if clip_vision_output is not None: + positive = node_helpers.conditioning_set_values(positive, {"clip_vision_output": clip_vision_output}) + negative = node_helpers.conditioning_set_values(negative, {"clip_vision_output": clip_vision_output}) + + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(positive, negative, out_latent) + + +def linear_interpolation(features, input_fps, output_fps, output_len=None): + """ + features: shape=[1, T, 512] + input_fps: fps for audio, f_a + output_fps: fps for video, f_m + output_len: video length + """ + features = features.transpose(1, 2) # [1, 512, T] + seq_len = features.shape[2] / float(input_fps) # T/f_a + if output_len is None: + output_len = int(seq_len * output_fps) # f_m*T/f_a + output_features = torch.nn.functional.interpolate( + features, size=output_len, align_corners=True, + mode='linear') # [1, 512, output_len] + return output_features.transpose(1, 2) # [1, output_len, 512] + + +def get_sample_indices(original_fps, + total_frames, + target_fps, + num_sample, + fixed_start=None): + required_duration = num_sample / target_fps + required_origin_frames = int(np.ceil(required_duration * original_fps)) + if required_duration > total_frames / original_fps: + raise ValueError("required_duration must be less than video length") + + if not fixed_start is None and fixed_start >= 0: + start_frame = fixed_start + else: + max_start = total_frames - required_origin_frames + if max_start < 0: + raise ValueError("video length is too short") + start_frame = np.random.randint(0, max_start + 1) + start_time = start_frame / original_fps + + end_time = start_time + required_duration + time_points = np.linspace(start_time, end_time, num_sample, endpoint=False) + + frame_indices = np.round(np.array(time_points) * original_fps).astype(int) + frame_indices = np.clip(frame_indices, 0, total_frames - 1) + return frame_indices + + +def get_audio_embed_bucket_fps(audio_embed, fps=16, batch_frames=81, m=0, video_rate=30): + num_layers, audio_frame_num, audio_dim = audio_embed.shape + + if num_layers > 1: + return_all_layers = True + else: + return_all_layers = False + + scale = video_rate / fps + + min_batch_num = int(audio_frame_num / (batch_frames * scale)) + 1 + + bucket_num = min_batch_num * batch_frames + padd_audio_num = math.ceil(min_batch_num * batch_frames / fps * video_rate) - audio_frame_num + batch_idx = get_sample_indices( + original_fps=video_rate, + total_frames=audio_frame_num + padd_audio_num, + target_fps=fps, + num_sample=bucket_num, + fixed_start=0) + batch_audio_eb = [] + audio_sample_stride = int(video_rate / fps) + for bi in batch_idx: + if bi < audio_frame_num: + + chosen_idx = list( + range(bi - m * audio_sample_stride, bi + (m + 1) * audio_sample_stride, audio_sample_stride)) + chosen_idx = [0 if c < 0 else c for c in chosen_idx] + chosen_idx = [ + audio_frame_num - 1 if c >= audio_frame_num else c + for c in chosen_idx + ] + + if return_all_layers: + frame_audio_embed = audio_embed[:, chosen_idx].flatten( + start_dim=-2, end_dim=-1) + else: + frame_audio_embed = audio_embed[0][chosen_idx].flatten() + else: + frame_audio_embed = torch.zeros([audio_dim * (2 * m + 1)], device=audio_embed.device) if not return_all_layers \ + else torch.zeros([num_layers, audio_dim * (2 * m + 1)], device=audio_embed.device) + batch_audio_eb.append(frame_audio_embed) + batch_audio_eb = torch.cat([c.unsqueeze(0) for c in batch_audio_eb], dim=0) + + return batch_audio_eb, min_batch_num + + +def wan_sound_to_video(positive, negative, vae, width, height, length, batch_size, frame_offset=0, ref_image=None, audio_encoder_output=None, control_video=None, ref_motion=None, ref_motion_latent=None): + latent_t = ((length - 1) // 4) + 1 + if audio_encoder_output is not None: + feat = torch.cat(audio_encoder_output["encoded_audio_all_layers"]) + video_rate = 30 + fps = 16 + feat = linear_interpolation(feat, input_fps=50, output_fps=video_rate) + batch_frames = latent_t * 4 + audio_embed_bucket, num_repeat = get_audio_embed_bucket_fps(feat, fps=fps, batch_frames=batch_frames, m=0, video_rate=video_rate) + audio_embed_bucket = audio_embed_bucket.unsqueeze(0) + if len(audio_embed_bucket.shape) == 3: + audio_embed_bucket = audio_embed_bucket.permute(0, 2, 1) + elif len(audio_embed_bucket.shape) == 4: + audio_embed_bucket = audio_embed_bucket.permute(0, 2, 3, 1) + + audio_embed_bucket = audio_embed_bucket[:, :, :, frame_offset:frame_offset + batch_frames] + if audio_embed_bucket.shape[3] > 0: + positive = node_helpers.conditioning_set_values(positive, {"audio_embed": audio_embed_bucket}) + negative = node_helpers.conditioning_set_values(negative, {"audio_embed": audio_embed_bucket * 0.0}) + frame_offset += batch_frames + + if ref_image is not None: + ref_image = comfy.utils.common_upscale(ref_image[:1].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + ref_latent = vae.encode(ref_image[:, :, :, :3]) + positive = node_helpers.conditioning_set_values(positive, {"reference_latents": [ref_latent]}, append=True) + negative = node_helpers.conditioning_set_values(negative, {"reference_latents": [ref_latent]}, append=True) + + if ref_motion is not None: + if ref_motion.shape[0] > 73: + ref_motion = ref_motion[-73:] + + ref_motion = comfy.utils.common_upscale(ref_motion.movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + + if ref_motion.shape[0] < 73: + r = torch.ones([73, height, width, 3]) * 0.5 + r[-ref_motion.shape[0]:] = ref_motion + ref_motion = r + + ref_motion_latent = vae.encode(ref_motion[:, :, :, :3]) + + if ref_motion_latent is not None: + ref_motion_latent = ref_motion_latent[:, :, -19:] + positive = node_helpers.conditioning_set_values(positive, {"reference_motion": ref_motion_latent}) + negative = node_helpers.conditioning_set_values(negative, {"reference_motion": ref_motion_latent}) + + latent = torch.zeros([batch_size, 16, latent_t, height // 8, width // 8], device=comfy.model_management.intermediate_device()) + + control_video_out = comfy.latent_formats.Wan21().process_out(torch.zeros_like(latent)) + if control_video is not None: + control_video = comfy.utils.common_upscale(control_video[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + control_video = vae.encode(control_video[:, :, :, :3]) + control_video_out[:, :, :control_video.shape[2]] = control_video + + # TODO: check if zero is better than none if none provided + positive = node_helpers.conditioning_set_values(positive, {"control_video": control_video_out}) + negative = node_helpers.conditioning_set_values(negative, {"control_video": control_video_out}) + + out_latent = {} + out_latent["samples"] = latent + return positive, negative, out_latent, frame_offset + + +class WanSoundImageToVideo(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanSoundImageToVideo", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("width", default=832, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16), + io.Int.Input("length", default=77, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.AudioEncoderOutput.Input("audio_encoder_output", optional=True), + io.Image.Input("ref_image", optional=True), + io.Image.Input("control_video", optional=True), + io.Image.Input("ref_motion", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + is_experimental=True, + ) + + @classmethod + def execute(cls, positive, negative, vae, width, height, length, batch_size, ref_image=None, audio_encoder_output=None, control_video=None, ref_motion=None) -> io.NodeOutput: + positive, negative, out_latent, frame_offset = wan_sound_to_video(positive, negative, vae, width, height, length, batch_size, ref_image=ref_image, audio_encoder_output=audio_encoder_output, + control_video=control_video, ref_motion=ref_motion) + return io.NodeOutput(positive, negative, out_latent) + + +class WanSoundImageToVideoExtend(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="WanSoundImageToVideoExtend", + category="conditioning/video_models", + inputs=[ + io.Conditioning.Input("positive"), + io.Conditioning.Input("negative"), + io.Vae.Input("vae"), + io.Int.Input("length", default=77, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Latent.Input("video_latent"), + io.AudioEncoderOutput.Input("audio_encoder_output", optional=True), + io.Image.Input("ref_image", optional=True), + io.Image.Input("control_video", optional=True), + ], + outputs=[ + io.Conditioning.Output(display_name="positive"), + io.Conditioning.Output(display_name="negative"), + io.Latent.Output(display_name="latent"), + ], + is_experimental=True, + ) + + @classmethod + def execute(cls, positive, negative, vae, length, video_latent, ref_image=None, audio_encoder_output=None, control_video=None) -> io.NodeOutput: + video_latent = video_latent["samples"] + width = video_latent.shape[-1] * 8 + height = video_latent.shape[-2] * 8 + batch_size = video_latent.shape[0] + frame_offset = video_latent.shape[-3] * 4 + positive, negative, out_latent, frame_offset = wan_sound_to_video(positive, negative, vae, width, height, length, batch_size, frame_offset=frame_offset, ref_image=ref_image, audio_encoder_output=audio_encoder_output, + control_video=control_video, ref_motion=None, ref_motion_latent=video_latent) + return io.NodeOutput(positive, negative, out_latent) + + +class Wan22ImageToVideoLatent(io.ComfyNode): + @classmethod + def define_schema(cls): + return io.Schema( + node_id="Wan22ImageToVideoLatent", + category="conditioning/inpaint", + inputs=[ + io.Vae.Input("vae"), + io.Int.Input("width", default=1280, min=32, max=nodes.MAX_RESOLUTION, step=32), + io.Int.Input("height", default=704, min=32, max=nodes.MAX_RESOLUTION, step=32), + io.Int.Input("length", default=49, min=1, max=nodes.MAX_RESOLUTION, step=4), + io.Int.Input("batch_size", default=1, min=1, max=4096), + io.Image.Input("start_image", optional=True), + ], + outputs=[ + io.Latent.Output(), + ], + ) + + @classmethod + def execute(cls, vae, width, height, length, batch_size, start_image=None) -> io.NodeOutput: + latent = torch.zeros([1, 48, ((length - 1) // 4) + 1, height // 16, width // 16], device=comfy.model_management.intermediate_device()) + + if start_image is None: + out_latent = {} + out_latent["samples"] = latent + return io.NodeOutput(out_latent) + + mask = torch.ones([latent.shape[0], 1, ((length - 1) // 4) + 1, latent.shape[-2], latent.shape[-1]], device=comfy.model_management.intermediate_device()) + + if start_image is not None: + start_image = comfy.utils.common_upscale(start_image[:length].movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1) + latent_temp = vae.encode(start_image) + latent[:, :, :latent_temp.shape[-3]] = latent_temp + mask[:, :, :latent_temp.shape[-3]] *= 0.0 + + out_latent = {} + latent_format = comfy.latent_formats.Wan22() + latent = latent_format.process_out(latent) * mask + latent * (1.0 - mask) + out_latent["samples"] = latent.repeat((batch_size, ) + (1,) * (latent.ndim - 1)) + out_latent["noise_mask"] = mask.repeat((batch_size, ) + (1,) * (mask.ndim - 1)) + return io.NodeOutput(out_latent) + + +class WanExtension(ComfyExtension): + @override + async def get_node_list(self) -> list[type[io.ComfyNode]]: + return [ + WanTrackToVideo, + WanImageToVideo, + WanFunControlToVideo, + Wan22FunControlToVideo, + WanFunInpaintToVideo, + WanFirstLastFrameToVideo, + WanVaceToVideo, + TrimVideoLatent, + WanCameraImageToVideo, + WanPhantomSubjectToVideo, + WanSoundImageToVideo, + WanSoundImageToVideoExtend, + Wan22ImageToVideoLatent, + ] + +async def comfy_entrypoint() -> WanExtension: + return WanExtension() diff --git a/comfy_extras/nodes_webcam.py b/comfy_extras/nodes_webcam.py new file mode 100644 index 0000000000000000000000000000000000000000..5bf80b4c6e055f70ed277ec0a9bbbeb180151a3d --- /dev/null +++ b/comfy_extras/nodes_webcam.py @@ -0,0 +1,37 @@ +import nodes +import folder_paths + +MAX_RESOLUTION = nodes.MAX_RESOLUTION + + +class WebcamCapture(nodes.LoadImage): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("WEBCAM", {}), + "width": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "height": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "capture_on_queue": ("BOOLEAN", {"default": True}), + } + } + RETURN_TYPES = ("IMAGE",) + FUNCTION = "load_capture" + + CATEGORY = "image" + + def load_capture(self, image, **kwargs): + return super().load_image(folder_paths.get_annotated_filepath(image)) + + @classmethod + def IS_CHANGED(cls, image, width, height, capture_on_queue): + return super().IS_CHANGED(image) + + +NODE_CLASS_MAPPINGS = { + "WebcamCapture": WebcamCapture, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "WebcamCapture": "Webcam Capture", +} diff --git a/comfyui_version.py b/comfyui_version.py new file mode 100644 index 0000000000000000000000000000000000000000..ee58205f5643f9413eed9285da2790d9fe28ee66 --- /dev/null +++ b/comfyui_version.py @@ -0,0 +1,3 @@ +# This file is automatically generated by the build process when version is +# updated in pyproject.toml. +__version__ = "0.3.59" diff --git a/cuda_malloc.py b/cuda_malloc.py new file mode 100644 index 0000000000000000000000000000000000000000..c1d9ae3cab5cd664b0bd8797e9e07117bc7962f7 --- /dev/null +++ b/cuda_malloc.py @@ -0,0 +1,91 @@ +import os +import importlib.util +from comfy.cli_args import args +import subprocess + +#Can't use pytorch to get the GPU names because the cuda malloc has to be set before the first import. +def get_gpu_names(): + if os.name == 'nt': + import ctypes + + # Define necessary C structures and types + class DISPLAY_DEVICEA(ctypes.Structure): + _fields_ = [ + ('cb', ctypes.c_ulong), + ('DeviceName', ctypes.c_char * 32), + ('DeviceString', ctypes.c_char * 128), + ('StateFlags', ctypes.c_ulong), + ('DeviceID', ctypes.c_char * 128), + ('DeviceKey', ctypes.c_char * 128) + ] + + # Load user32.dll + user32 = ctypes.windll.user32 + + # Call EnumDisplayDevicesA + def enum_display_devices(): + device_info = DISPLAY_DEVICEA() + device_info.cb = ctypes.sizeof(device_info) + device_index = 0 + gpu_names = set() + + while user32.EnumDisplayDevicesA(None, device_index, ctypes.byref(device_info), 0): + device_index += 1 + gpu_names.add(device_info.DeviceString.decode('utf-8')) + return gpu_names + return enum_display_devices() + else: + gpu_names = set() + out = subprocess.check_output(['nvidia-smi', '-L']) + for l in out.split(b'\n'): + if len(l) > 0: + gpu_names.add(l.decode('utf-8').split(' (UUID')[0]) + return gpu_names + +blacklist = {"GeForce GTX TITAN X", "GeForce GTX 980", "GeForce GTX 970", "GeForce GTX 960", "GeForce GTX 950", "GeForce 945M", + "GeForce 940M", "GeForce 930M", "GeForce 920M", "GeForce 910M", "GeForce GTX 750", "GeForce GTX 745", "Quadro K620", + "Quadro K1200", "Quadro K2200", "Quadro M500", "Quadro M520", "Quadro M600", "Quadro M620", "Quadro M1000", + "Quadro M1200", "Quadro M2000", "Quadro M2200", "Quadro M3000", "Quadro M4000", "Quadro M5000", "Quadro M5500", "Quadro M6000", + "GeForce MX110", "GeForce MX130", "GeForce 830M", "GeForce 840M", "GeForce GTX 850M", "GeForce GTX 860M", + "GeForce GTX 1650", "GeForce GTX 1630", "Tesla M4", "Tesla M6", "Tesla M10", "Tesla M40", "Tesla M60" + } + +def cuda_malloc_supported(): + try: + names = get_gpu_names() + except: + names = set() + for x in names: + if "NVIDIA" in x: + for b in blacklist: + if b in x: + return False + return True + + +if not args.cuda_malloc: + try: + version = "" + torch_spec = importlib.util.find_spec("torch") + for folder in torch_spec.submodule_search_locations: + ver_file = os.path.join(folder, "version.py") + if os.path.isfile(ver_file): + spec = importlib.util.spec_from_file_location("torch_version_import", ver_file) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + version = module.__version__ + + if int(version[0]) >= 2 and "+cu" in version: #enable by default for torch version 2.0 and up only on cuda torch + args.cuda_malloc = cuda_malloc_supported() + except: + pass + + +if args.cuda_malloc and not args.disable_cuda_malloc: + env_var = os.environ.get('PYTORCH_CUDA_ALLOC_CONF', None) + if env_var is None: + env_var = "backend:cudaMallocAsync" + else: + env_var += ",backend:cudaMallocAsync" + + os.environ['PYTORCH_CUDA_ALLOC_CONF'] = env_var diff --git a/execution.py b/execution.py new file mode 100644 index 0000000000000000000000000000000000000000..1dc35738b823e84bdbee10806798e98dee35dc22 --- /dev/null +++ b/execution.py @@ -0,0 +1,1220 @@ +import copy +import heapq +import inspect +import logging +import sys +import threading +import time +import traceback +from enum import Enum +from typing import List, Literal, NamedTuple, Optional, Union +import asyncio + +import torch + +import comfy.model_management +import nodes +from comfy_execution.caching import ( + BasicCache, + CacheKeySetID, + CacheKeySetInputSignature, + DependencyAwareCache, + HierarchicalCache, + LRUCache, +) +from comfy_execution.graph import ( + DynamicPrompt, + ExecutionBlocker, + ExecutionList, + get_input_info, +) +from comfy_execution.graph_utils import GraphBuilder, is_link +from comfy_execution.validation import validate_node_input +from comfy_execution.progress import get_progress_state, reset_progress_state, add_progress_handler, WebUIProgressHandler +from comfy_execution.utils import CurrentNodeContext +from comfy_api.internal import _ComfyNodeInternal, _NodeOutputInternal, first_real_override, is_class, make_locked_method_func +from comfy_api.latest import io + + +class ExecutionResult(Enum): + SUCCESS = 0 + FAILURE = 1 + PENDING = 2 + +class DuplicateNodeError(Exception): + pass + +class IsChangedCache: + def __init__(self, prompt_id: str, dynprompt: DynamicPrompt, outputs_cache: BasicCache): + self.prompt_id = prompt_id + self.dynprompt = dynprompt + self.outputs_cache = outputs_cache + self.is_changed = {} + + async def get(self, node_id): + if node_id in self.is_changed: + return self.is_changed[node_id] + + node = self.dynprompt.get_node(node_id) + class_type = node["class_type"] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + has_is_changed = False + is_changed_name = None + if issubclass(class_def, _ComfyNodeInternal) and first_real_override(class_def, "fingerprint_inputs") is not None: + has_is_changed = True + is_changed_name = "fingerprint_inputs" + elif hasattr(class_def, "IS_CHANGED"): + has_is_changed = True + is_changed_name = "IS_CHANGED" + if not has_is_changed: + self.is_changed[node_id] = False + return self.is_changed[node_id] + + if "is_changed" in node: + self.is_changed[node_id] = node["is_changed"] + return self.is_changed[node_id] + + # Intentionally do not use cached outputs here. We only want constants in IS_CHANGED + input_data_all, _, hidden_inputs = get_input_data(node["inputs"], class_def, node_id, None) + try: + is_changed = await _async_map_node_over_list(self.prompt_id, node_id, class_def, input_data_all, is_changed_name) + is_changed = await resolve_map_node_over_list_results(is_changed) + node["is_changed"] = [None if isinstance(x, ExecutionBlocker) else x for x in is_changed] + except Exception as e: + logging.warning("WARNING: {}".format(e)) + node["is_changed"] = float("NaN") + finally: + self.is_changed[node_id] = node["is_changed"] + return self.is_changed[node_id] + + +class CacheType(Enum): + CLASSIC = 0 + LRU = 1 + DEPENDENCY_AWARE = 2 + + +class CacheSet: + def __init__(self, cache_type=None, cache_size=None): + if cache_type == CacheType.DEPENDENCY_AWARE: + self.init_dependency_aware_cache() + logging.info("Disabling intermediate node cache.") + elif cache_type == CacheType.LRU: + if cache_size is None: + cache_size = 0 + self.init_lru_cache(cache_size) + logging.info("Using LRU cache") + else: + self.init_classic_cache() + + self.all = [self.outputs, self.ui, self.objects] + + # Performs like the old cache -- dump data ASAP + def init_classic_cache(self): + self.outputs = HierarchicalCache(CacheKeySetInputSignature) + self.ui = HierarchicalCache(CacheKeySetInputSignature) + self.objects = HierarchicalCache(CacheKeySetID) + + def init_lru_cache(self, cache_size): + self.outputs = LRUCache(CacheKeySetInputSignature, max_size=cache_size) + self.ui = LRUCache(CacheKeySetInputSignature, max_size=cache_size) + self.objects = HierarchicalCache(CacheKeySetID) + + # only hold cached items while the decendents have not executed + def init_dependency_aware_cache(self): + self.outputs = DependencyAwareCache(CacheKeySetInputSignature) + self.ui = DependencyAwareCache(CacheKeySetInputSignature) + self.objects = DependencyAwareCache(CacheKeySetID) + + def recursive_debug_dump(self): + result = { + "outputs": self.outputs.recursive_debug_dump(), + "ui": self.ui.recursive_debug_dump(), + } + return result + +SENSITIVE_EXTRA_DATA_KEYS = ("auth_token_comfy_org", "api_key_comfy_org") + +def get_input_data(inputs, class_def, unique_id, outputs=None, dynprompt=None, extra_data={}): + is_v3 = issubclass(class_def, _ComfyNodeInternal) + if is_v3: + valid_inputs, schema = class_def.INPUT_TYPES(include_hidden=False, return_schema=True) + else: + valid_inputs = class_def.INPUT_TYPES() + input_data_all = {} + missing_keys = {} + hidden_inputs_v3 = {} + for x in inputs: + input_data = inputs[x] + _, input_category, input_info = get_input_info(class_def, x, valid_inputs) + def mark_missing(): + missing_keys[x] = True + input_data_all[x] = (None,) + if is_link(input_data) and (not input_info or not input_info.get("rawLink", False)): + input_unique_id = input_data[0] + output_index = input_data[1] + if outputs is None: + mark_missing() + continue # This might be a lazily-evaluated input + cached_output = outputs.get(input_unique_id) + if cached_output is None: + mark_missing() + continue + if output_index >= len(cached_output): + mark_missing() + continue + obj = cached_output[output_index] + input_data_all[x] = obj + elif input_category is not None: + input_data_all[x] = [input_data] + + if is_v3: + if schema.hidden: + if io.Hidden.prompt in schema.hidden: + hidden_inputs_v3[io.Hidden.prompt] = dynprompt.get_original_prompt() if dynprompt is not None else {} + if io.Hidden.dynprompt in schema.hidden: + hidden_inputs_v3[io.Hidden.dynprompt] = dynprompt + if io.Hidden.extra_pnginfo in schema.hidden: + hidden_inputs_v3[io.Hidden.extra_pnginfo] = extra_data.get('extra_pnginfo', None) + if io.Hidden.unique_id in schema.hidden: + hidden_inputs_v3[io.Hidden.unique_id] = unique_id + if io.Hidden.auth_token_comfy_org in schema.hidden: + hidden_inputs_v3[io.Hidden.auth_token_comfy_org] = extra_data.get("auth_token_comfy_org", None) + if io.Hidden.api_key_comfy_org in schema.hidden: + hidden_inputs_v3[io.Hidden.api_key_comfy_org] = extra_data.get("api_key_comfy_org", None) + else: + if "hidden" in valid_inputs: + h = valid_inputs["hidden"] + for x in h: + if h[x] == "PROMPT": + input_data_all[x] = [dynprompt.get_original_prompt() if dynprompt is not None else {}] + if h[x] == "DYNPROMPT": + input_data_all[x] = [dynprompt] + if h[x] == "EXTRA_PNGINFO": + input_data_all[x] = [extra_data.get('extra_pnginfo', None)] + if h[x] == "UNIQUE_ID": + input_data_all[x] = [unique_id] + if h[x] == "AUTH_TOKEN_COMFY_ORG": + input_data_all[x] = [extra_data.get("auth_token_comfy_org", None)] + if h[x] == "API_KEY_COMFY_ORG": + input_data_all[x] = [extra_data.get("api_key_comfy_org", None)] + return input_data_all, missing_keys, hidden_inputs_v3 + +map_node_over_list = None #Don't hook this please + +async def resolve_map_node_over_list_results(results): + remaining = [x for x in results if isinstance(x, asyncio.Task) and not x.done()] + if len(remaining) == 0: + return [x.result() if isinstance(x, asyncio.Task) else x for x in results] + else: + done, pending = await asyncio.wait(remaining) + for task in done: + exc = task.exception() + if exc is not None: + raise exc + return [x.result() if isinstance(x, asyncio.Task) else x for x in results] + +async def _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, func, allow_interrupt=False, execution_block_cb=None, pre_execute_cb=None, hidden_inputs=None): + # check if node wants the lists + input_is_list = getattr(obj, "INPUT_IS_LIST", False) + + if len(input_data_all) == 0: + max_len_input = 0 + else: + max_len_input = max(len(x) for x in input_data_all.values()) + + # get a slice of inputs, repeat last input when list isn't long enough + def slice_dict(d, i): + return {k: v[i if len(v) > i else -1] for k, v in d.items()} + + results = [] + async def process_inputs(inputs, index=None, input_is_list=False): + if allow_interrupt: + nodes.before_node_execution() + execution_block = None + for k, v in inputs.items(): + if input_is_list: + for e in v: + if isinstance(e, ExecutionBlocker): + v = e + break + if isinstance(v, ExecutionBlocker): + execution_block = execution_block_cb(v) if execution_block_cb else v + break + if execution_block is None: + if pre_execute_cb is not None and index is not None: + pre_execute_cb(index) + # V3 + if isinstance(obj, _ComfyNodeInternal) or (is_class(obj) and issubclass(obj, _ComfyNodeInternal)): + # if is just a class, then assign no resources or state, just create clone + if is_class(obj): + type_obj = obj + obj.VALIDATE_CLASS() + class_clone = obj.PREPARE_CLASS_CLONE(hidden_inputs) + # otherwise, use class instance to populate/reuse some fields + else: + type_obj = type(obj) + type_obj.VALIDATE_CLASS() + class_clone = type_obj.PREPARE_CLASS_CLONE(hidden_inputs) + f = make_locked_method_func(type_obj, func, class_clone) + # V1 + else: + f = getattr(obj, func) + if inspect.iscoroutinefunction(f): + async def async_wrapper(f, prompt_id, unique_id, list_index, args): + with CurrentNodeContext(prompt_id, unique_id, list_index): + return await f(**args) + task = asyncio.create_task(async_wrapper(f, prompt_id, unique_id, index, args=inputs)) + # Give the task a chance to execute without yielding + await asyncio.sleep(0) + if task.done(): + result = task.result() + results.append(result) + else: + results.append(task) + else: + with CurrentNodeContext(prompt_id, unique_id, index): + result = f(**inputs) + results.append(result) + else: + results.append(execution_block) + + if input_is_list: + await process_inputs(input_data_all, 0, input_is_list=input_is_list) + elif max_len_input == 0: + await process_inputs({}) + else: + for i in range(max_len_input): + input_dict = slice_dict(input_data_all, i) + await process_inputs(input_dict, i) + return results + + +def merge_result_data(results, obj): + # check which outputs need concatenating + output = [] + output_is_list = [False] * len(results[0]) + if hasattr(obj, "OUTPUT_IS_LIST"): + output_is_list = obj.OUTPUT_IS_LIST + + # merge node execution results + for i, is_list in zip(range(len(results[0])), output_is_list): + if is_list: + value = [] + for o in results: + if isinstance(o[i], ExecutionBlocker): + value.append(o[i]) + else: + value.extend(o[i]) + output.append(value) + else: + output.append([o[i] for o in results]) + return output + +async def get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=None, pre_execute_cb=None, hidden_inputs=None): + return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, hidden_inputs=hidden_inputs) + has_pending_task = any(isinstance(r, asyncio.Task) and not r.done() for r in return_values) + if has_pending_task: + return return_values, {}, False, has_pending_task + output, ui, has_subgraph = get_output_from_returns(return_values, obj) + return output, ui, has_subgraph, False + +def get_output_from_returns(return_values, obj): + results = [] + uis = [] + subgraph_results = [] + has_subgraph = False + for i in range(len(return_values)): + r = return_values[i] + if isinstance(r, dict): + if 'ui' in r: + uis.append(r['ui']) + if 'expand' in r: + # Perform an expansion, but do not append results + has_subgraph = True + new_graph = r['expand'] + result = r.get("result", None) + if isinstance(result, ExecutionBlocker): + result = tuple([result] * len(obj.RETURN_TYPES)) + subgraph_results.append((new_graph, result)) + elif 'result' in r: + result = r.get("result", None) + if isinstance(result, ExecutionBlocker): + result = tuple([result] * len(obj.RETURN_TYPES)) + results.append(result) + subgraph_results.append((None, result)) + elif isinstance(r, _NodeOutputInternal): + # V3 + if r.ui is not None: + if isinstance(r.ui, dict): + uis.append(r.ui) + else: + uis.append(r.ui.as_dict()) + if r.expand is not None: + has_subgraph = True + new_graph = r.expand + result = r.result + if r.block_execution is not None: + result = tuple([ExecutionBlocker(r.block_execution)] * len(obj.RETURN_TYPES)) + subgraph_results.append((new_graph, result)) + elif r.result is not None: + result = r.result + if r.block_execution is not None: + result = tuple([ExecutionBlocker(r.block_execution)] * len(obj.RETURN_TYPES)) + results.append(result) + subgraph_results.append((None, result)) + else: + if isinstance(r, ExecutionBlocker): + r = tuple([r] * len(obj.RETURN_TYPES)) + results.append(r) + subgraph_results.append((None, r)) + + if has_subgraph: + output = subgraph_results + elif len(results) > 0: + output = merge_result_data(results, obj) + else: + output = [] + ui = dict() + # TODO: Think there's an existing bug here + # If we're performing a subgraph expansion, we probably shouldn't be returning UI values yet. + # They'll get cached without the completed subgraphs. It's an edge case and I'm not aware of + # any nodes that use both subgraph expansion and custom UI outputs, but might be a problem in the future. + if len(uis) > 0: + ui = {k: [y for x in uis for y in x[k]] for k in uis[0].keys()} + return output, ui, has_subgraph + +def format_value(x): + if x is None: + return None + elif isinstance(x, (int, float, bool, str)): + return x + else: + return str(x) + +async def execute(server, dynprompt, caches, current_item, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes): + unique_id = current_item + real_node_id = dynprompt.get_real_node_id(unique_id) + display_node_id = dynprompt.get_display_node_id(unique_id) + parent_node_id = dynprompt.get_parent_node_id(unique_id) + inputs = dynprompt.get_node(unique_id)['inputs'] + class_type = dynprompt.get_node(unique_id)['class_type'] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + if caches.outputs.get(unique_id) is not None: + if server.client_id is not None: + cached_output = caches.ui.get(unique_id) or {} + server.send_sync("executed", { "node": unique_id, "display_node": display_node_id, "output": cached_output.get("output",None), "prompt_id": prompt_id }, server.client_id) + get_progress_state().finish_progress(unique_id) + return (ExecutionResult.SUCCESS, None, None) + + input_data_all = None + try: + if unique_id in pending_async_nodes: + results = [] + for r in pending_async_nodes[unique_id]: + if isinstance(r, asyncio.Task): + try: + results.append(r.result()) + except Exception as ex: + # An async task failed - propagate the exception up + del pending_async_nodes[unique_id] + raise ex + else: + results.append(r) + del pending_async_nodes[unique_id] + output_data, output_ui, has_subgraph = get_output_from_returns(results, class_def) + elif unique_id in pending_subgraph_results: + cached_results = pending_subgraph_results[unique_id] + resolved_outputs = [] + for is_subgraph, result in cached_results: + if not is_subgraph: + resolved_outputs.append(result) + else: + resolved_output = [] + for r in result: + if is_link(r): + source_node, source_output = r[0], r[1] + node_output = caches.outputs.get(source_node)[source_output] + for o in node_output: + resolved_output.append(o) + + else: + resolved_output.append(r) + resolved_outputs.append(tuple(resolved_output)) + output_data = merge_result_data(resolved_outputs, class_def) + output_ui = [] + has_subgraph = False + else: + get_progress_state().start_progress(unique_id) + input_data_all, missing_keys, hidden_inputs = get_input_data(inputs, class_def, unique_id, caches.outputs, dynprompt, extra_data) + if server.client_id is not None: + server.last_node_id = display_node_id + server.send_sync("executing", { "node": unique_id, "display_node": display_node_id, "prompt_id": prompt_id }, server.client_id) + + obj = caches.objects.get(unique_id) + if obj is None: + obj = class_def() + caches.objects.set(unique_id, obj) + + if issubclass(class_def, _ComfyNodeInternal): + lazy_status_present = first_real_override(class_def, "check_lazy_status") is not None + else: + lazy_status_present = getattr(obj, "check_lazy_status", None) is not None + if lazy_status_present: + required_inputs = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, "check_lazy_status", allow_interrupt=True, hidden_inputs=hidden_inputs) + required_inputs = await resolve_map_node_over_list_results(required_inputs) + required_inputs = set(sum([r for r in required_inputs if isinstance(r,list)], [])) + required_inputs = [x for x in required_inputs if isinstance(x,str) and ( + x not in input_data_all or x in missing_keys + )] + if len(required_inputs) > 0: + for i in required_inputs: + execution_list.make_input_strong_link(unique_id, i) + return (ExecutionResult.PENDING, None, None) + + def execution_block_cb(block): + if block.message is not None: + mes = { + "prompt_id": prompt_id, + "node_id": unique_id, + "node_type": class_type, + "executed": list(executed), + + "exception_message": f"Execution Blocked: {block.message}", + "exception_type": "ExecutionBlocked", + "traceback": [], + "current_inputs": [], + "current_outputs": [], + } + server.send_sync("execution_error", mes, server.client_id) + return ExecutionBlocker(None) + else: + return block + def pre_execute_cb(call_index): + # TODO - How to handle this with async functions without contextvars (which requires Python 3.12)? + GraphBuilder.set_default_prefix(unique_id, call_index, 0) + output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, hidden_inputs=hidden_inputs) + if has_pending_tasks: + pending_async_nodes[unique_id] = output_data + unblock = execution_list.add_external_block(unique_id) + async def await_completion(): + tasks = [x for x in output_data if isinstance(x, asyncio.Task)] + await asyncio.gather(*tasks, return_exceptions=True) + unblock() + asyncio.create_task(await_completion()) + return (ExecutionResult.PENDING, None, None) + if len(output_ui) > 0: + caches.ui.set(unique_id, { + "meta": { + "node_id": unique_id, + "display_node": display_node_id, + "parent_node": parent_node_id, + "real_node_id": real_node_id, + }, + "output": output_ui + }) + if server.client_id is not None: + server.send_sync("executed", { "node": unique_id, "display_node": display_node_id, "output": output_ui, "prompt_id": prompt_id }, server.client_id) + if has_subgraph: + cached_outputs = [] + new_node_ids = [] + new_output_ids = [] + new_output_links = [] + for i in range(len(output_data)): + new_graph, node_outputs = output_data[i] + if new_graph is None: + cached_outputs.append((False, node_outputs)) + else: + # Check for conflicts + for node_id in new_graph.keys(): + if dynprompt.has_node(node_id): + raise DuplicateNodeError(f"Attempt to add duplicate node {node_id}. Ensure node ids are unique and deterministic or use graph_utils.GraphBuilder.") + for node_id, node_info in new_graph.items(): + new_node_ids.append(node_id) + display_id = node_info.get("override_display_id", unique_id) + dynprompt.add_ephemeral_node(node_id, node_info, unique_id, display_id) + # Figure out if the newly created node is an output node + class_type = node_info["class_type"] + class_def = nodes.NODE_CLASS_MAPPINGS[class_type] + if hasattr(class_def, 'OUTPUT_NODE') and class_def.OUTPUT_NODE == True: + new_output_ids.append(node_id) + for i in range(len(node_outputs)): + if is_link(node_outputs[i]): + from_node_id, from_socket = node_outputs[i][0], node_outputs[i][1] + new_output_links.append((from_node_id, from_socket)) + cached_outputs.append((True, node_outputs)) + new_node_ids = set(new_node_ids) + for cache in caches.all: + subcache = await cache.ensure_subcache_for(unique_id, new_node_ids) + subcache.clean_unused() + for node_id in new_output_ids: + execution_list.add_node(node_id) + for link in new_output_links: + execution_list.add_strong_link(link[0], link[1], unique_id) + pending_subgraph_results[unique_id] = cached_outputs + return (ExecutionResult.PENDING, None, None) + caches.outputs.set(unique_id, output_data) + except comfy.model_management.InterruptProcessingException as iex: + logging.info("Processing interrupted") + + # skip formatting inputs/outputs + error_details = { + "node_id": real_node_id, + } + + return (ExecutionResult.FAILURE, error_details, iex) + except Exception as ex: + typ, _, tb = sys.exc_info() + exception_type = full_type_name(typ) + input_data_formatted = {} + if input_data_all is not None: + input_data_formatted = {} + for name, inputs in input_data_all.items(): + input_data_formatted[name] = [format_value(x) for x in inputs] + + logging.error(f"!!! Exception during processing !!! {ex}") + logging.error(traceback.format_exc()) + tips = "" + + if isinstance(ex, comfy.model_management.OOM_EXCEPTION): + tips = "This error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number." + logging.error("Got an OOM, unloading all loaded models.") + comfy.model_management.unload_all_models() + + error_details = { + "node_id": real_node_id, + "exception_message": "{}\n{}".format(ex, tips), + "exception_type": exception_type, + "traceback": traceback.format_tb(tb), + "current_inputs": input_data_formatted + } + + return (ExecutionResult.FAILURE, error_details, ex) + + get_progress_state().finish_progress(unique_id) + executed.add(unique_id) + + return (ExecutionResult.SUCCESS, None, None) + +class PromptExecutor: + def __init__(self, server, cache_type=False, cache_size=None): + self.cache_size = cache_size + self.cache_type = cache_type + self.server = server + self.reset() + + def reset(self): + self.caches = CacheSet(cache_type=self.cache_type, cache_size=self.cache_size) + self.status_messages = [] + self.success = True + + def add_message(self, event, data: dict, broadcast: bool): + data = { + **data, + "timestamp": int(time.time() * 1000), + } + self.status_messages.append((event, data)) + if self.server.client_id is not None or broadcast: + self.server.send_sync(event, data, self.server.client_id) + + def handle_execution_error(self, prompt_id, prompt, current_outputs, executed, error, ex): + node_id = error["node_id"] + class_type = prompt[node_id]["class_type"] + + # First, send back the status to the frontend depending + # on the exception type + if isinstance(ex, comfy.model_management.InterruptProcessingException): + mes = { + "prompt_id": prompt_id, + "node_id": node_id, + "node_type": class_type, + "executed": list(executed), + } + self.add_message("execution_interrupted", mes, broadcast=True) + else: + mes = { + "prompt_id": prompt_id, + "node_id": node_id, + "node_type": class_type, + "executed": list(executed), + "exception_message": error["exception_message"], + "exception_type": error["exception_type"], + "traceback": error["traceback"], + "current_inputs": error["current_inputs"], + "current_outputs": list(current_outputs), + } + self.add_message("execution_error", mes, broadcast=False) + + def execute(self, prompt, prompt_id, extra_data={}, execute_outputs=[]): + asyncio.run(self.execute_async(prompt, prompt_id, extra_data, execute_outputs)) + + async def execute_async(self, prompt, prompt_id, extra_data={}, execute_outputs=[]): + nodes.interrupt_processing(False) + + if "client_id" in extra_data: + self.server.client_id = extra_data["client_id"] + else: + self.server.client_id = None + + self.status_messages = [] + self.add_message("execution_start", { "prompt_id": prompt_id}, broadcast=False) + + with torch.inference_mode(): + dynamic_prompt = DynamicPrompt(prompt) + reset_progress_state(prompt_id, dynamic_prompt) + add_progress_handler(WebUIProgressHandler(self.server)) + is_changed_cache = IsChangedCache(prompt_id, dynamic_prompt, self.caches.outputs) + for cache in self.caches.all: + await cache.set_prompt(dynamic_prompt, prompt.keys(), is_changed_cache) + cache.clean_unused() + + cached_nodes = [] + for node_id in prompt: + if self.caches.outputs.get(node_id) is not None: + cached_nodes.append(node_id) + + comfy.model_management.cleanup_models_gc() + self.add_message("execution_cached", + { "nodes": cached_nodes, "prompt_id": prompt_id}, + broadcast=False) + pending_subgraph_results = {} + pending_async_nodes = {} # TODO - Unify this with pending_subgraph_results + executed = set() + execution_list = ExecutionList(dynamic_prompt, self.caches.outputs) + current_outputs = self.caches.outputs.all_node_ids() + for node_id in list(execute_outputs): + execution_list.add_node(node_id) + + while not execution_list.is_empty(): + node_id, error, ex = await execution_list.stage_node_execution() + if error is not None: + self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex) + break + + assert node_id is not None, "Node ID should not be None at this point" + result, error, ex = await execute(self.server, dynamic_prompt, self.caches, node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes) + self.success = result != ExecutionResult.FAILURE + if result == ExecutionResult.FAILURE: + self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex) + break + elif result == ExecutionResult.PENDING: + execution_list.unstage_node_execution() + else: # result == ExecutionResult.SUCCESS: + execution_list.complete_node_execution() + else: + # Only execute when the while-loop ends without break + self.add_message("execution_success", { "prompt_id": prompt_id }, broadcast=False) + + ui_outputs = {} + meta_outputs = {} + all_node_ids = self.caches.ui.all_node_ids() + for node_id in all_node_ids: + ui_info = self.caches.ui.get(node_id) + if ui_info is not None: + ui_outputs[node_id] = ui_info["output"] + meta_outputs[node_id] = ui_info["meta"] + self.history_result = { + "outputs": ui_outputs, + "meta": meta_outputs, + } + self.server.last_node_id = None + if comfy.model_management.DISABLE_SMART_MEMORY: + comfy.model_management.unload_all_models() + + +async def validate_inputs(prompt_id, prompt, item, validated): + unique_id = item + if unique_id in validated: + return validated[unique_id] + + inputs = prompt[unique_id]['inputs'] + class_type = prompt[unique_id]['class_type'] + obj_class = nodes.NODE_CLASS_MAPPINGS[class_type] + + class_inputs = obj_class.INPUT_TYPES() + valid_inputs = set(class_inputs.get('required',{})).union(set(class_inputs.get('optional',{}))) + + errors = [] + valid = True + + validate_function_inputs = [] + validate_has_kwargs = False + if issubclass(obj_class, _ComfyNodeInternal): + validate_function_name = "validate_inputs" + validate_function = first_real_override(obj_class, validate_function_name) + else: + validate_function_name = "VALIDATE_INPUTS" + validate_function = getattr(obj_class, validate_function_name, None) + if validate_function is not None: + argspec = inspect.getfullargspec(validate_function) + validate_function_inputs = argspec.args + validate_has_kwargs = argspec.varkw is not None + received_types = {} + + for x in valid_inputs: + input_type, input_category, extra_info = get_input_info(obj_class, x, class_inputs) + assert extra_info is not None + if x not in inputs: + if input_category == "required": + error = { + "type": "required_input_missing", + "message": "Required input is missing", + "details": f"{x}", + "extra_info": { + "input_name": x + } + } + errors.append(error) + continue + + val = inputs[x] + info = (input_type, extra_info) + if isinstance(val, list): + if len(val) != 2: + error = { + "type": "bad_linked_input", + "message": "Bad linked input, must be a length-2 list of [node_id, slot_index]", + "details": f"{x}", + "extra_info": { + "input_name": x, + "input_config": info, + "received_value": val + } + } + errors.append(error) + continue + + o_id = val[0] + o_class_type = prompt[o_id]['class_type'] + r = nodes.NODE_CLASS_MAPPINGS[o_class_type].RETURN_TYPES + received_type = r[val[1]] + received_types[x] = received_type + if 'input_types' not in validate_function_inputs and not validate_node_input(received_type, input_type): + details = f"{x}, received_type({received_type}) mismatch input_type({input_type})" + error = { + "type": "return_type_mismatch", + "message": "Return type mismatch between linked nodes", + "details": details, + "extra_info": { + "input_name": x, + "input_config": info, + "received_type": received_type, + "linked_node": val + } + } + errors.append(error) + continue + try: + r = await validate_inputs(prompt_id, prompt, o_id, validated) + if r[0] is False: + # `r` will be set in `validated[o_id]` already + valid = False + continue + except Exception as ex: + typ, _, tb = sys.exc_info() + valid = False + exception_type = full_type_name(typ) + reasons = [{ + "type": "exception_during_inner_validation", + "message": "Exception when validating inner node", + "details": str(ex), + "extra_info": { + "input_name": x, + "input_config": info, + "exception_message": str(ex), + "exception_type": exception_type, + "traceback": traceback.format_tb(tb), + "linked_node": val + } + }] + validated[o_id] = (False, reasons, o_id) + continue + else: + try: + # Unwraps values wrapped in __value__ key. This is used to pass + # list widget value to execution, as by default list value is + # reserved to represent the connection between nodes. + if isinstance(val, dict) and "__value__" in val: + val = val["__value__"] + inputs[x] = val + + if input_type == "INT": + val = int(val) + inputs[x] = val + if input_type == "FLOAT": + val = float(val) + inputs[x] = val + if input_type == "STRING": + val = str(val) + inputs[x] = val + if input_type == "BOOLEAN": + val = bool(val) + inputs[x] = val + except Exception as ex: + error = { + "type": "invalid_input_type", + "message": f"Failed to convert an input value to a {input_type} value", + "details": f"{x}, {val}, {ex}", + "extra_info": { + "input_name": x, + "input_config": info, + "received_value": val, + "exception_message": str(ex) + } + } + errors.append(error) + continue + + if x not in validate_function_inputs and not validate_has_kwargs: + if "min" in extra_info and val < extra_info["min"]: + error = { + "type": "value_smaller_than_min", + "message": "Value {} smaller than min of {}".format(val, extra_info["min"]), + "details": f"{x}", + "extra_info": { + "input_name": x, + "input_config": info, + "received_value": val, + } + } + errors.append(error) + continue + if "max" in extra_info and val > extra_info["max"]: + error = { + "type": "value_bigger_than_max", + "message": "Value {} bigger than max of {}".format(val, extra_info["max"]), + "details": f"{x}", + "extra_info": { + "input_name": x, + "input_config": info, + "received_value": val, + } + } + errors.append(error) + continue + + if isinstance(input_type, list): + combo_options = input_type + if val not in combo_options: + input_config = info + list_info = "" + + # Don't send back gigantic lists like if they're lots of + # scanned model filepaths + if len(combo_options) > 20: + list_info = f"(list of length {len(combo_options)})" + input_config = None + else: + list_info = str(combo_options) + + error = { + "type": "value_not_in_list", + "message": "Value not in list", + "details": f"{x}: '{val}' not in {list_info}", + "extra_info": { + "input_name": x, + "input_config": input_config, + "received_value": val, + } + } + errors.append(error) + continue + + if len(validate_function_inputs) > 0 or validate_has_kwargs: + input_data_all, _, hidden_inputs = get_input_data(inputs, obj_class, unique_id) + input_filtered = {} + for x in input_data_all: + if x in validate_function_inputs or validate_has_kwargs: + input_filtered[x] = input_data_all[x] + if 'input_types' in validate_function_inputs: + input_filtered['input_types'] = [received_types] + + ret = await _async_map_node_over_list(prompt_id, unique_id, obj_class, input_filtered, validate_function_name, hidden_inputs=hidden_inputs) + ret = await resolve_map_node_over_list_results(ret) + for x in input_filtered: + for i, r in enumerate(ret): + if r is not True and not isinstance(r, ExecutionBlocker): + details = f"{x}" + if r is not False: + details += f" - {str(r)}" + + error = { + "type": "custom_validation_failed", + "message": "Custom validation failed for node", + "details": details, + "extra_info": { + "input_name": x, + } + } + errors.append(error) + continue + + if len(errors) > 0 or valid is not True: + ret = (False, errors, unique_id) + else: + ret = (True, [], unique_id) + + validated[unique_id] = ret + return ret + +def full_type_name(klass): + module = klass.__module__ + if module == 'builtins': + return klass.__qualname__ + return module + '.' + klass.__qualname__ + +async def validate_prompt(prompt_id, prompt, partial_execution_list: Union[list[str], None]): + outputs = set() + for x in prompt: + if 'class_type' not in prompt[x]: + error = { + "type": "invalid_prompt", + "message": "Cannot execute because a node is missing the class_type property.", + "details": f"Node ID '#{x}'", + "extra_info": {} + } + return (False, error, [], {}) + + class_type = prompt[x]['class_type'] + class_ = nodes.NODE_CLASS_MAPPINGS.get(class_type, None) + if class_ is None: + error = { + "type": "invalid_prompt", + "message": f"Cannot execute because node {class_type} does not exist.", + "details": f"Node ID '#{x}'", + "extra_info": {} + } + return (False, error, [], {}) + + if hasattr(class_, 'OUTPUT_NODE') and class_.OUTPUT_NODE is True: + if partial_execution_list is None or x in partial_execution_list: + outputs.add(x) + + if len(outputs) == 0: + error = { + "type": "prompt_no_outputs", + "message": "Prompt has no outputs", + "details": "", + "extra_info": {} + } + return (False, error, [], {}) + + good_outputs = set() + errors = [] + node_errors = {} + validated = {} + for o in outputs: + valid = False + reasons = [] + try: + m = await validate_inputs(prompt_id, prompt, o, validated) + valid = m[0] + reasons = m[1] + except Exception as ex: + typ, _, tb = sys.exc_info() + valid = False + exception_type = full_type_name(typ) + reasons = [{ + "type": "exception_during_validation", + "message": "Exception when validating node", + "details": str(ex), + "extra_info": { + "exception_type": exception_type, + "traceback": traceback.format_tb(tb) + } + }] + validated[o] = (False, reasons, o) + + if valid is True: + good_outputs.add(o) + else: + logging.error(f"Failed to validate prompt for output {o}:") + if len(reasons) > 0: + logging.error("* (prompt):") + for reason in reasons: + logging.error(f" - {reason['message']}: {reason['details']}") + errors += [(o, reasons)] + for node_id, result in validated.items(): + valid = result[0] + reasons = result[1] + # If a node upstream has errors, the nodes downstream will also + # be reported as invalid, but there will be no errors attached. + # So don't return those nodes as having errors in the response. + if valid is not True and len(reasons) > 0: + if node_id not in node_errors: + class_type = prompt[node_id]['class_type'] + node_errors[node_id] = { + "errors": reasons, + "dependent_outputs": [], + "class_type": class_type + } + logging.error(f"* {class_type} {node_id}:") + for reason in reasons: + logging.error(f" - {reason['message']}: {reason['details']}") + node_errors[node_id]["dependent_outputs"].append(o) + logging.error("Output will be ignored") + + if len(good_outputs) == 0: + errors_list = [] + for o, errors in errors: + for error in errors: + errors_list.append(f"{error['message']}: {error['details']}") + errors_list = "\n".join(errors_list) + + error = { + "type": "prompt_outputs_failed_validation", + "message": "Prompt outputs failed validation", + "details": errors_list, + "extra_info": {} + } + + return (False, error, list(good_outputs), node_errors) + + return (True, None, list(good_outputs), node_errors) + +MAXIMUM_HISTORY_SIZE = 10000 + +class PromptQueue: + def __init__(self, server): + self.server = server + self.mutex = threading.RLock() + self.not_empty = threading.Condition(self.mutex) + self.task_counter = 0 + self.queue = [] + self.currently_running = {} + self.history = {} + self.flags = {} + + def put(self, item): + with self.mutex: + heapq.heappush(self.queue, item) + self.server.queue_updated() + self.not_empty.notify() + + def get(self, timeout=None): + with self.not_empty: + while len(self.queue) == 0: + self.not_empty.wait(timeout=timeout) + if timeout is not None and len(self.queue) == 0: + return None + item = heapq.heappop(self.queue) + i = self.task_counter + self.currently_running[i] = copy.deepcopy(item) + self.task_counter += 1 + self.server.queue_updated() + return (item, i) + + class ExecutionStatus(NamedTuple): + status_str: Literal['success', 'error'] + completed: bool + messages: List[str] + + def task_done(self, item_id, history_result, + status: Optional['PromptQueue.ExecutionStatus']): + with self.mutex: + prompt = self.currently_running.pop(item_id) + if len(self.history) > MAXIMUM_HISTORY_SIZE: + self.history.pop(next(iter(self.history))) + + status_dict: Optional[dict] = None + if status is not None: + status_dict = copy.deepcopy(status._asdict()) + + # Remove sensitive data from extra_data before storing in history + for sensitive_val in SENSITIVE_EXTRA_DATA_KEYS: + if sensitive_val in prompt[3]: + prompt[3].pop(sensitive_val) + + self.history[prompt[1]] = { + "prompt": prompt, + "outputs": {}, + 'status': status_dict, + } + self.history[prompt[1]].update(history_result) + self.server.queue_updated() + + # Note: slow + def get_current_queue(self): + with self.mutex: + out = [] + for x in self.currently_running.values(): + out += [x] + return (out, copy.deepcopy(self.queue)) + + # read-safe as long as queue items are immutable + def get_current_queue_volatile(self): + with self.mutex: + running = [x for x in self.currently_running.values()] + queued = copy.copy(self.queue) + return (running, queued) + + def get_tasks_remaining(self): + with self.mutex: + return len(self.queue) + len(self.currently_running) + + def wipe_queue(self): + with self.mutex: + self.queue = [] + self.server.queue_updated() + + def delete_queue_item(self, function): + with self.mutex: + for x in range(len(self.queue)): + if function(self.queue[x]): + if len(self.queue) == 1: + self.wipe_queue() + else: + self.queue.pop(x) + heapq.heapify(self.queue) + self.server.queue_updated() + return True + return False + + def get_history(self, prompt_id=None, max_items=None, offset=-1, map_function=None): + with self.mutex: + if prompt_id is None: + out = {} + i = 0 + if offset < 0 and max_items is not None: + offset = len(self.history) - max_items + for k in self.history: + if i >= offset: + p = self.history[k] + if map_function is not None: + p = map_function(p) + out[k] = p + if max_items is not None and len(out) >= max_items: + break + i += 1 + return out + elif prompt_id in self.history: + p = self.history[prompt_id] + if map_function is None: + p = copy.deepcopy(p) + else: + p = map_function(p) + return {prompt_id: p} + else: + return {} + + def wipe_history(self): + with self.mutex: + self.history = {} + + def delete_history_item(self, id_to_delete): + with self.mutex: + self.history.pop(id_to_delete, None) + + def set_flag(self, name, data): + with self.mutex: + self.flags[name] = data + self.not_empty.notify() + + def get_flags(self, reset=True): + with self.mutex: + if reset: + ret = self.flags + self.flags = {} + return ret + else: + return self.flags.copy() diff --git a/extra_model_paths.yaml.example b/extra_model_paths.yaml.example new file mode 100644 index 0000000000000000000000000000000000000000..b55913a5a9bcbd46b490e7f560b6632e5c780881 --- /dev/null +++ b/extra_model_paths.yaml.example @@ -0,0 +1,47 @@ +#Rename this to extra_model_paths.yaml and ComfyUI will load it + + +#config for a1111 ui +#all you have to do is change the base_path to where yours is installed +a111: + base_path: path/to/stable-diffusion-webui/ + + checkpoints: models/Stable-diffusion + configs: models/Stable-diffusion + vae: models/VAE + loras: | + models/Lora + models/LyCORIS + upscale_models: | + models/ESRGAN + models/RealESRGAN + models/SwinIR + embeddings: embeddings + hypernetworks: models/hypernetworks + controlnet: models/ControlNet + +#config for comfyui +#your base path should be either an existing comfy install or a central folder where you store all of your models, loras, etc. + +#comfyui: +# base_path: path/to/comfyui/ +# # You can use is_default to mark that these folders should be listed first, and used as the default dirs for eg downloads +# #is_default: true +# checkpoints: models/checkpoints/ +# clip: models/clip/ +# clip_vision: models/clip_vision/ +# configs: models/configs/ +# controlnet: models/controlnet/ +# diffusion_models: | +# models/diffusion_models +# models/unet +# embeddings: models/embeddings/ +# loras: models/loras/ +# upscale_models: models/upscale_models/ +# vae: models/vae/ + +#other_ui: +# base_path: path/to/ui +# checkpoints: models/checkpoints +# gligen: models/gligen +# custom_nodes: path/custom_nodes diff --git a/folder_paths.py b/folder_paths.py new file mode 100644 index 0000000000000000000000000000000000000000..f110d832bb23c84ec27fa3135eb958cb66acb069 --- /dev/null +++ b/folder_paths.py @@ -0,0 +1,429 @@ +from __future__ import annotations + +import os +import time +import mimetypes +import logging +from typing import Literal, List +from collections.abc import Collection + +from comfy.cli_args import args + +supported_pt_extensions: set[str] = {'.ckpt', '.pt', '.pt2', '.bin', '.pth', '.safetensors', '.pkl', '.sft'} + +folder_names_and_paths: dict[str, tuple[list[str], set[str]]] = {} + +# --base-directory - Resets all default paths configured in folder_paths with a new base path +if args.base_directory: + base_path = os.path.abspath(args.base_directory) +else: + base_path = os.path.dirname(os.path.realpath(__file__)) + +models_dir = os.path.join(base_path, "models") +folder_names_and_paths["checkpoints"] = ([os.path.join(models_dir, "checkpoints")], supported_pt_extensions) +folder_names_and_paths["configs"] = ([os.path.join(models_dir, "configs")], [".yaml"]) + +folder_names_and_paths["loras"] = ([os.path.join(models_dir, "loras")], supported_pt_extensions) +folder_names_and_paths["vae"] = ([os.path.join(models_dir, "vae")], supported_pt_extensions) +folder_names_and_paths["text_encoders"] = ([os.path.join(models_dir, "text_encoders"), os.path.join(models_dir, "clip")], supported_pt_extensions) +folder_names_and_paths["diffusion_models"] = ([os.path.join(models_dir, "unet"), os.path.join(models_dir, "diffusion_models")], supported_pt_extensions) +folder_names_and_paths["clip_vision"] = ([os.path.join(models_dir, "clip_vision")], supported_pt_extensions) +folder_names_and_paths["style_models"] = ([os.path.join(models_dir, "style_models")], supported_pt_extensions) +folder_names_and_paths["embeddings"] = ([os.path.join(models_dir, "embeddings")], supported_pt_extensions) +folder_names_and_paths["diffusers"] = ([os.path.join(models_dir, "diffusers")], ["folder"]) +folder_names_and_paths["vae_approx"] = ([os.path.join(models_dir, "vae_approx")], supported_pt_extensions) + +folder_names_and_paths["controlnet"] = ([os.path.join(models_dir, "controlnet"), os.path.join(models_dir, "t2i_adapter")], supported_pt_extensions) +folder_names_and_paths["gligen"] = ([os.path.join(models_dir, "gligen")], supported_pt_extensions) + +folder_names_and_paths["upscale_models"] = ([os.path.join(models_dir, "upscale_models")], supported_pt_extensions) + +folder_names_and_paths["custom_nodes"] = ([os.path.join(base_path, "custom_nodes")], set()) + +folder_names_and_paths["hypernetworks"] = ([os.path.join(models_dir, "hypernetworks")], supported_pt_extensions) + +folder_names_and_paths["photomaker"] = ([os.path.join(models_dir, "photomaker")], supported_pt_extensions) + +folder_names_and_paths["classifiers"] = ([os.path.join(models_dir, "classifiers")], {""}) + +folder_names_and_paths["model_patches"] = ([os.path.join(models_dir, "model_patches")], supported_pt_extensions) + +folder_names_and_paths["audio_encoders"] = ([os.path.join(models_dir, "audio_encoders")], supported_pt_extensions) + +output_directory = os.path.join(base_path, "output") +temp_directory = os.path.join(base_path, "temp") +input_directory = os.path.join(base_path, "input") +user_directory = os.path.join(base_path, "user") + +filename_list_cache: dict[str, tuple[list[str], dict[str, float], float]] = {} + +class CacheHelper: + """ + Helper class for managing file list cache data. + """ + def __init__(self): + self.cache: dict[str, tuple[list[str], dict[str, float], float]] = {} + self.active = False + + def get(self, key: str, default=None) -> tuple[list[str], dict[str, float], float]: + if not self.active: + return default + return self.cache.get(key, default) + + def set(self, key: str, value: tuple[list[str], dict[str, float], float]) -> None: + if self.active: + self.cache[key] = value + + def clear(self): + self.cache.clear() + + def __enter__(self): + self.active = True + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.active = False + self.clear() + +cache_helper = CacheHelper() + +extension_mimetypes_cache = { + "webp" : "image", + "fbx" : "model", +} + +def map_legacy(folder_name: str) -> str: + legacy = {"unet": "diffusion_models", + "clip": "text_encoders"} + return legacy.get(folder_name, folder_name) + +if not os.path.exists(input_directory): + try: + os.makedirs(input_directory) + except: + logging.error("Failed to create input directory") + +def set_output_directory(output_dir: str) -> None: + global output_directory + output_directory = output_dir + +def set_temp_directory(temp_dir: str) -> None: + global temp_directory + temp_directory = temp_dir + +def set_input_directory(input_dir: str) -> None: + global input_directory + input_directory = input_dir + +def get_output_directory() -> str: + global output_directory + return output_directory + +def get_temp_directory() -> str: + global temp_directory + return temp_directory + +def get_input_directory() -> str: + global input_directory + return input_directory + +def get_user_directory() -> str: + return user_directory + +def set_user_directory(user_dir: str) -> None: + global user_directory + user_directory = user_dir + + +#NOTE: used in http server so don't put folders that should not be accessed remotely +def get_directory_by_type(type_name: str) -> str | None: + if type_name == "output": + return get_output_directory() + if type_name == "temp": + return get_temp_directory() + if type_name == "input": + return get_input_directory() + return None + +def filter_files_content_types(files: list[str], content_types: List[Literal["image", "video", "audio", "model"]]) -> list[str]: + """ + Example: + files = os.listdir(folder_paths.get_input_directory()) + videos = filter_files_content_types(files, ["video"]) + + Note: + - 'model' in MIME context refers to 3D models, not files containing trained weights and parameters + """ + global extension_mimetypes_cache + result = [] + for file in files: + extension = file.split('.')[-1] + if extension not in extension_mimetypes_cache: + mime_type, _ = mimetypes.guess_type(file, strict=False) + if not mime_type: + continue + content_type = mime_type.split('/')[0] + extension_mimetypes_cache[extension] = content_type + else: + content_type = extension_mimetypes_cache[extension] + + if content_type in content_types: + result.append(file) + return result + +# determine base_dir rely on annotation if name is 'filename.ext [annotation]' format +# otherwise use default_path as base_dir +def annotated_filepath(name: str) -> tuple[str, str | None]: + if name.endswith("[output]"): + base_dir = get_output_directory() + name = name[:-9] + elif name.endswith("[input]"): + base_dir = get_input_directory() + name = name[:-8] + elif name.endswith("[temp]"): + base_dir = get_temp_directory() + name = name[:-7] + else: + return name, None + + return name, base_dir + + +def get_annotated_filepath(name: str, default_dir: str | None=None) -> str: + name, base_dir = annotated_filepath(name) + + if base_dir is None: + if default_dir is not None: + base_dir = default_dir + else: + base_dir = get_input_directory() # fallback path + + return os.path.join(base_dir, name) + + +def exists_annotated_filepath(name) -> bool: + name, base_dir = annotated_filepath(name) + + if base_dir is None: + base_dir = get_input_directory() # fallback path + + filepath = os.path.join(base_dir, name) + return os.path.exists(filepath) + + +def add_model_folder_path(folder_name: str, full_folder_path: str, is_default: bool = False) -> None: + global folder_names_and_paths + folder_name = map_legacy(folder_name) + if folder_name in folder_names_and_paths: + paths, _exts = folder_names_and_paths[folder_name] + if full_folder_path in paths: + if is_default and paths[0] != full_folder_path: + # If the path to the folder is not the first in the list, move it to the beginning. + paths.remove(full_folder_path) + paths.insert(0, full_folder_path) + else: + if is_default: + paths.insert(0, full_folder_path) + else: + paths.append(full_folder_path) + else: + folder_names_and_paths[folder_name] = ([full_folder_path], set()) + +def get_folder_paths(folder_name: str) -> list[str]: + folder_name = map_legacy(folder_name) + return folder_names_and_paths[folder_name][0][:] + +def recursive_search(directory: str, excluded_dir_names: list[str] | None=None) -> tuple[list[str], dict[str, float]]: + if not os.path.isdir(directory): + return [], {} + + if excluded_dir_names is None: + excluded_dir_names = [] + + result = [] + dirs = {} + + # Attempt to add the initial directory to dirs with error handling + try: + dirs[directory] = os.path.getmtime(directory) + except FileNotFoundError: + logging.warning(f"Warning: Unable to access {directory}. Skipping this path.") + + logging.debug("recursive file list on directory {}".format(directory)) + dirpath: str + subdirs: list[str] + filenames: list[str] + + for dirpath, subdirs, filenames in os.walk(directory, followlinks=True, topdown=True): + subdirs[:] = [d for d in subdirs if d not in excluded_dir_names] + for file_name in filenames: + try: + relative_path = os.path.relpath(os.path.join(dirpath, file_name), directory) + result.append(relative_path) + except: + logging.warning(f"Warning: Unable to access {file_name}. Skipping this file.") + continue + + for d in subdirs: + path: str = os.path.join(dirpath, d) + try: + dirs[path] = os.path.getmtime(path) + except FileNotFoundError: + logging.warning(f"Warning: Unable to access {path}. Skipping this path.") + continue + logging.debug("found {} files".format(len(result))) + return result, dirs + +def filter_files_extensions(files: Collection[str], extensions: Collection[str]) -> list[str]: + return sorted(list(filter(lambda a: os.path.splitext(a)[-1].lower() in extensions or len(extensions) == 0, files))) + + + +def get_full_path(folder_name: str, filename: str) -> str | None: + """ + Get the full path of a file in a folder, has to be a file + """ + global folder_names_and_paths + folder_name = map_legacy(folder_name) + if folder_name not in folder_names_and_paths: + return None + folders = folder_names_and_paths[folder_name] + filename = os.path.relpath(os.path.join("/", filename), "/") + for x in folders[0]: + full_path = os.path.join(x, filename) + if os.path.isfile(full_path): + return full_path + elif os.path.islink(full_path): + logging.warning("WARNING path {} exists but doesn't link anywhere, skipping.".format(full_path)) + + return None + + +def get_full_path_or_raise(folder_name: str, filename: str) -> str: + """ + Get the full path of a file in a folder, has to be a file + """ + full_path = get_full_path(folder_name, filename) + if full_path is None: + raise FileNotFoundError(f"Model in folder '{folder_name}' with filename '{filename}' not found.") + return full_path + + +def get_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], float]: + folder_name = map_legacy(folder_name) + global folder_names_and_paths + output_list = set() + folders = folder_names_and_paths[folder_name] + output_folders = {} + for x in folders[0]: + files, folders_all = recursive_search(x, excluded_dir_names=[".git"]) + output_list.update(filter_files_extensions(files, folders[1])) + output_folders = {**output_folders, **folders_all} + + return sorted(list(output_list)), output_folders, time.perf_counter() + +def cached_filename_list_(folder_name: str) -> tuple[list[str], dict[str, float], float] | None: + strong_cache = cache_helper.get(folder_name) + if strong_cache is not None: + return strong_cache + + global filename_list_cache + global folder_names_and_paths + folder_name = map_legacy(folder_name) + if folder_name not in filename_list_cache: + return None + out = filename_list_cache[folder_name] + + for x in out[1]: + time_modified = out[1][x] + folder = x + if os.path.getmtime(folder) != time_modified: + return None + + folders = folder_names_and_paths[folder_name] + for x in folders[0]: + if os.path.isdir(x): + if x not in out[1]: + return None + + return out + +def get_filename_list(folder_name: str) -> list[str]: + folder_name = map_legacy(folder_name) + out = cached_filename_list_(folder_name) + if out is None: + out = get_filename_list_(folder_name) + global filename_list_cache + filename_list_cache[folder_name] = out + cache_helper.set(folder_name, out) + return list(out[0]) + +def get_save_image_path(filename_prefix: str, output_dir: str, image_width=0, image_height=0) -> tuple[str, str, int, str, str]: + def map_filename(filename: str) -> tuple[int, str]: + prefix_len = len(os.path.basename(filename_prefix)) + prefix = filename[:prefix_len + 1] + try: + digits = int(filename[prefix_len + 1:].split('_')[0]) + except: + digits = 0 + return digits, prefix + + def compute_vars(input: str, image_width: int, image_height: int) -> str: + input = input.replace("%width%", str(image_width)) + input = input.replace("%height%", str(image_height)) + now = time.localtime() + input = input.replace("%year%", str(now.tm_year)) + input = input.replace("%month%", str(now.tm_mon).zfill(2)) + input = input.replace("%day%", str(now.tm_mday).zfill(2)) + input = input.replace("%hour%", str(now.tm_hour).zfill(2)) + input = input.replace("%minute%", str(now.tm_min).zfill(2)) + input = input.replace("%second%", str(now.tm_sec).zfill(2)) + return input + + if "%" in filename_prefix: + filename_prefix = compute_vars(filename_prefix, image_width, image_height) + + subfolder = os.path.dirname(os.path.normpath(filename_prefix)) + filename = os.path.basename(os.path.normpath(filename_prefix)) + + full_output_folder = os.path.join(output_dir, subfolder) + + if os.path.commonpath((output_dir, os.path.abspath(full_output_folder))) != output_dir: + err = "**** ERROR: Saving image outside the output folder is not allowed." + \ + "\n full_output_folder: " + os.path.abspath(full_output_folder) + \ + "\n output_dir: " + output_dir + \ + "\n commonpath: " + os.path.commonpath((output_dir, os.path.abspath(full_output_folder))) + logging.error(err) + raise Exception(err) + + try: + counter = max(filter(lambda a: os.path.normcase(a[1][:-1]) == os.path.normcase(filename) and a[1][-1] == "_", map(map_filename, os.listdir(full_output_folder))))[0] + 1 + except ValueError: + counter = 1 + except FileNotFoundError: + os.makedirs(full_output_folder, exist_ok=True) + counter = 1 + return full_output_folder, filename, counter, subfolder, filename_prefix + +def get_input_subfolders() -> list[str]: + """Returns a list of all subfolder paths in the input directory, recursively. + + Returns: + List of folder paths relative to the input directory, excluding the root directory + """ + input_dir = get_input_directory() + folders = [] + + try: + if not os.path.exists(input_dir): + return [] + + for root, dirs, _ in os.walk(input_dir): + rel_path = os.path.relpath(root, input_dir) + if rel_path != ".": # Only include non-root directories + # Normalize path separators to forward slashes + folders.append(rel_path.replace(os.sep, '/')) + + return sorted(folders) + except FileNotFoundError: + return [] diff --git a/hook_breaker_ac10a0.py b/hook_breaker_ac10a0.py new file mode 100644 index 0000000000000000000000000000000000000000..c3e1c063382760535cee82e8bfcbc85d17e2cce4 --- /dev/null +++ b/hook_breaker_ac10a0.py @@ -0,0 +1,17 @@ +# Prevent custom nodes from hooking anything important +import comfy.model_management + +HOOK_BREAK = [(comfy.model_management, "cast_to")] + + +SAVED_FUNCTIONS = [] + + +def save_functions(): + for f in HOOK_BREAK: + SAVED_FUNCTIONS.append((f[0], f[1], getattr(f[0], f[1]))) + + +def restore_functions(): + for f in SAVED_FUNCTIONS: + setattr(f[0], f[1], f[2]) diff --git a/latent_preview.py b/latent_preview.py new file mode 100644 index 0000000000000000000000000000000000000000..95d3cb7338eafc63ce060b43528c6017d8d55953 --- /dev/null +++ b/latent_preview.py @@ -0,0 +1,108 @@ +import torch +from PIL import Image +from comfy.cli_args import args, LatentPreviewMethod +from comfy.taesd.taesd import TAESD +import comfy.model_management +import folder_paths +import comfy.utils +import logging + +MAX_PREVIEW_RESOLUTION = args.preview_size + +def preview_to_image(latent_image): + latents_ubyte = (((latent_image + 1.0) / 2.0).clamp(0, 1) # change scale from -1..1 to 0..1 + .mul(0xFF) # to 0..255 + ) + if comfy.model_management.directml_enabled: + latents_ubyte = latents_ubyte.to(dtype=torch.uint8) + latents_ubyte = latents_ubyte.to(device="cpu", dtype=torch.uint8, non_blocking=comfy.model_management.device_supports_non_blocking(latent_image.device)) + + return Image.fromarray(latents_ubyte.numpy()) + +class LatentPreviewer: + def decode_latent_to_preview(self, x0): + pass + + def decode_latent_to_preview_image(self, preview_format, x0): + preview_image = self.decode_latent_to_preview(x0) + return ("JPEG", preview_image, MAX_PREVIEW_RESOLUTION) + +class TAESDPreviewerImpl(LatentPreviewer): + def __init__(self, taesd): + self.taesd = taesd + + def decode_latent_to_preview(self, x0): + x_sample = self.taesd.decode(x0[:1])[0].movedim(0, 2) + return preview_to_image(x_sample) + + +class Latent2RGBPreviewer(LatentPreviewer): + def __init__(self, latent_rgb_factors, latent_rgb_factors_bias=None): + self.latent_rgb_factors = torch.tensor(latent_rgb_factors, device="cpu").transpose(0, 1) + self.latent_rgb_factors_bias = None + if latent_rgb_factors_bias is not None: + self.latent_rgb_factors_bias = torch.tensor(latent_rgb_factors_bias, device="cpu") + + def decode_latent_to_preview(self, x0): + self.latent_rgb_factors = self.latent_rgb_factors.to(dtype=x0.dtype, device=x0.device) + if self.latent_rgb_factors_bias is not None: + self.latent_rgb_factors_bias = self.latent_rgb_factors_bias.to(dtype=x0.dtype, device=x0.device) + + if x0.ndim == 5: + x0 = x0[0, :, 0] + else: + x0 = x0[0] + + latent_image = torch.nn.functional.linear(x0.movedim(0, -1), self.latent_rgb_factors, bias=self.latent_rgb_factors_bias) + # latent_image = x0[0].permute(1, 2, 0) @ self.latent_rgb_factors + + return preview_to_image(latent_image) + + +def get_previewer(device, latent_format): + previewer = None + method = args.preview_method + if method != LatentPreviewMethod.NoPreviews: + # TODO previewer methods + taesd_decoder_path = None + if latent_format.taesd_decoder_name is not None: + taesd_decoder_path = next( + (fn for fn in folder_paths.get_filename_list("vae_approx") + if fn.startswith(latent_format.taesd_decoder_name)), + "" + ) + taesd_decoder_path = folder_paths.get_full_path("vae_approx", taesd_decoder_path) + + if method == LatentPreviewMethod.Auto: + method = LatentPreviewMethod.Latent2RGB + + if method == LatentPreviewMethod.TAESD: + if taesd_decoder_path: + taesd = TAESD(None, taesd_decoder_path, latent_channels=latent_format.latent_channels).to(device) + previewer = TAESDPreviewerImpl(taesd) + else: + logging.warning("Warning: TAESD previews enabled, but could not find models/vae_approx/{}".format(latent_format.taesd_decoder_name)) + + if previewer is None: + if latent_format.latent_rgb_factors is not None: + previewer = Latent2RGBPreviewer(latent_format.latent_rgb_factors, latent_format.latent_rgb_factors_bias) + return previewer + +def prepare_callback(model, steps, x0_output_dict=None): + preview_format = "JPEG" + if preview_format not in ["JPEG", "PNG"]: + preview_format = "JPEG" + + previewer = get_previewer(model.load_device, model.model.latent_format) + + pbar = comfy.utils.ProgressBar(steps) + def callback(step, x0, x, total_steps): + if x0_output_dict is not None: + x0_output_dict["x0"] = x0 + + preview_bytes = None + if previewer: + preview_bytes = previewer.decode_latent_to_preview_image(preview_format, x0) + pbar.update_absolute(step + 1, total_steps, preview_bytes) + return callback + diff --git a/main.py b/main.py new file mode 100644 index 0000000000000000000000000000000000000000..c33f0e17bf300d894959550dd66235096a5d8232 --- /dev/null +++ b/main.py @@ -0,0 +1,369 @@ +import comfy.options +comfy.options.enable_args_parsing() + +import os +import importlib.util +import folder_paths +import time +from comfy.cli_args import args +from app.logger import setup_logger +import itertools +import utils.extra_config +import logging +import sys +from comfy_execution.progress import get_progress_state +from comfy_execution.utils import get_executing_context +from comfy_api import feature_flags + +if __name__ == "__main__": + #NOTE: These do not do anything on core ComfyUI, they are for custom nodes. + os.environ['HF_HUB_DISABLE_TELEMETRY'] = '1' + os.environ['DO_NOT_TRACK'] = '1' + +setup_logger(log_level=args.verbose, use_stdout=args.log_stdout) + +def apply_custom_paths(): + # extra model paths + extra_model_paths_config_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "extra_model_paths.yaml") + if os.path.isfile(extra_model_paths_config_path): + utils.extra_config.load_extra_path_config(extra_model_paths_config_path) + + if args.extra_model_paths_config: + for config_path in itertools.chain(*args.extra_model_paths_config): + utils.extra_config.load_extra_path_config(config_path) + + # --output-directory, --input-directory, --user-directory + if args.output_directory: + output_dir = os.path.abspath(args.output_directory) + logging.info(f"Setting output directory to: {output_dir}") + folder_paths.set_output_directory(output_dir) + + # These are the default folders that checkpoints, clip and vae models will be saved to when using CheckpointSave, etc.. nodes + folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints")) + folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip")) + folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae")) + folder_paths.add_model_folder_path("diffusion_models", + os.path.join(folder_paths.get_output_directory(), "diffusion_models")) + folder_paths.add_model_folder_path("loras", os.path.join(folder_paths.get_output_directory(), "loras")) + + if args.input_directory: + input_dir = os.path.abspath(args.input_directory) + logging.info(f"Setting input directory to: {input_dir}") + folder_paths.set_input_directory(input_dir) + + if args.user_directory: + user_dir = os.path.abspath(args.user_directory) + logging.info(f"Setting user directory to: {user_dir}") + folder_paths.set_user_directory(user_dir) + + +def execute_prestartup_script(): + if args.disable_all_custom_nodes and len(args.whitelist_custom_nodes) == 0: + return + + def execute_script(script_path): + module_name = os.path.splitext(script_path)[0] + try: + spec = importlib.util.spec_from_file_location(module_name, script_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + return True + except Exception as e: + logging.error(f"Failed to execute startup-script: {script_path} / {e}") + return False + + node_paths = folder_paths.get_folder_paths("custom_nodes") + for custom_node_path in node_paths: + possible_modules = os.listdir(custom_node_path) + node_prestartup_times = [] + + for possible_module in possible_modules: + module_path = os.path.join(custom_node_path, possible_module) + if os.path.isfile(module_path) or module_path.endswith(".disabled") or module_path == "__pycache__": + continue + + script_path = os.path.join(module_path, "prestartup_script.py") + if os.path.exists(script_path): + if args.disable_all_custom_nodes and possible_module not in args.whitelist_custom_nodes: + logging.info(f"Prestartup Skipping {possible_module} due to disable_all_custom_nodes and whitelist_custom_nodes") + continue + time_before = time.perf_counter() + success = execute_script(script_path) + node_prestartup_times.append((time.perf_counter() - time_before, module_path, success)) + if len(node_prestartup_times) > 0: + logging.info("\nPrestartup times for custom nodes:") + for n in sorted(node_prestartup_times): + if n[2]: + import_message = "" + else: + import_message = " (PRESTARTUP FAILED)" + logging.info("{:6.1f} seconds{}: {}".format(n[0], import_message, n[1])) + logging.info("") + +apply_custom_paths() +execute_prestartup_script() + + +# Main code +import asyncio +import shutil +import threading +import gc + + +if os.name == "nt": + os.environ['MIMALLOC_PURGE_DELAY'] = '0' + +if __name__ == "__main__": + if args.default_device is not None: + default_dev = args.default_device + devices = list(range(32)) + devices.remove(default_dev) + devices.insert(0, default_dev) + devices = ','.join(map(str, devices)) + os.environ['CUDA_VISIBLE_DEVICES'] = str(devices) + os.environ['HIP_VISIBLE_DEVICES'] = str(devices) + + if args.cuda_device is not None: + os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device) + os.environ['HIP_VISIBLE_DEVICES'] = str(args.cuda_device) + logging.info("Set cuda device to: {}".format(args.cuda_device)) + + if args.oneapi_device_selector is not None: + os.environ['ONEAPI_DEVICE_SELECTOR'] = args.oneapi_device_selector + logging.info("Set oneapi device selector to: {}".format(args.oneapi_device_selector)) + + if args.deterministic: + if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ: + os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8" + + import cuda_malloc + +if 'torch' in sys.modules: + logging.warning("WARNING: Potential Error in code: Torch already imported, torch should never be imported before this point.") + +import comfy.utils + +import execution +import server +from protocol import BinaryEventTypes +import nodes +import comfy.model_management +import comfyui_version +import app.logger +import hook_breaker_ac10a0 + +def cuda_malloc_warning(): + device = comfy.model_management.get_torch_device() + device_name = comfy.model_management.get_torch_device_name(device) + cuda_malloc_warning = False + if "cudaMallocAsync" in device_name: + for b in cuda_malloc.blacklist: + if b in device_name: + cuda_malloc_warning = True + if cuda_malloc_warning: + logging.warning("\nWARNING: this card most likely does not support cuda-malloc, if you get \"CUDA error\" please run ComfyUI with: --disable-cuda-malloc\n") + + +def prompt_worker(q, server_instance): + current_time: float = 0.0 + cache_type = execution.CacheType.CLASSIC + if args.cache_lru > 0: + cache_type = execution.CacheType.LRU + elif args.cache_none: + cache_type = execution.CacheType.DEPENDENCY_AWARE + + e = execution.PromptExecutor(server_instance, cache_type=cache_type, cache_size=args.cache_lru) + last_gc_collect = 0 + need_gc = False + gc_collect_interval = 10.0 + + while True: + timeout = 1000.0 + if need_gc: + timeout = max(gc_collect_interval - (current_time - last_gc_collect), 0.0) + + queue_item = q.get(timeout=timeout) + if queue_item is not None: + item, item_id = queue_item + execution_start_time = time.perf_counter() + prompt_id = item[1] + server_instance.last_prompt_id = prompt_id + + e.execute(item[2], prompt_id, item[3], item[4]) + need_gc = True + q.task_done(item_id, + e.history_result, + status=execution.PromptQueue.ExecutionStatus( + status_str='success' if e.success else 'error', + completed=e.success, + messages=e.status_messages)) + if server_instance.client_id is not None: + server_instance.send_sync("executing", {"node": None, "prompt_id": prompt_id}, server_instance.client_id) + + current_time = time.perf_counter() + execution_time = current_time - execution_start_time + + # Log Time in a more readable way after 10 minutes + if execution_time > 600: + execution_time = time.strftime("%H:%M:%S", time.gmtime(execution_time)) + logging.info(f"Prompt executed in {execution_time}") + else: + logging.info("Prompt executed in {:.2f} seconds".format(execution_time)) + + flags = q.get_flags() + free_memory = flags.get("free_memory", False) + + if flags.get("unload_models", free_memory): + comfy.model_management.unload_all_models() + need_gc = True + last_gc_collect = 0 + + if free_memory: + e.reset() + need_gc = True + last_gc_collect = 0 + + if need_gc: + current_time = time.perf_counter() + if (current_time - last_gc_collect) > gc_collect_interval: + gc.collect() + comfy.model_management.soft_empty_cache() + last_gc_collect = current_time + need_gc = False + hook_breaker_ac10a0.restore_functions() + + +async def run(server_instance, address='', port=8188, verbose=True, call_on_start=None): + addresses = [] + for addr in address.split(","): + addresses.append((addr, port)) + await asyncio.gather( + server_instance.start_multi_address(addresses, call_on_start, verbose), server_instance.publish_loop() + ) + +def hijack_progress(server_instance): + def hook(value, total, preview_image, prompt_id=None, node_id=None): + executing_context = get_executing_context() + if prompt_id is None and executing_context is not None: + prompt_id = executing_context.prompt_id + if node_id is None and executing_context is not None: + node_id = executing_context.node_id + comfy.model_management.throw_exception_if_processing_interrupted() + if prompt_id is None: + prompt_id = server_instance.last_prompt_id + if node_id is None: + node_id = server_instance.last_node_id + progress = {"value": value, "max": total, "prompt_id": prompt_id, "node": node_id} + get_progress_state().update_progress(node_id, value, total, preview_image) + + server_instance.send_sync("progress", progress, server_instance.client_id) + if preview_image is not None: + # Only send old method if client doesn't support preview metadata + if not feature_flags.supports_feature( + server_instance.sockets_metadata, + server_instance.client_id, + "supports_preview_metadata", + ): + server_instance.send_sync( + BinaryEventTypes.UNENCODED_PREVIEW_IMAGE, + preview_image, + server_instance.client_id, + ) + + comfy.utils.set_progress_bar_global_hook(hook) + + +def cleanup_temp(): + temp_dir = folder_paths.get_temp_directory() + if os.path.exists(temp_dir): + shutil.rmtree(temp_dir, ignore_errors=True) + + +def setup_database(): + try: + from app.database.db import init_db, dependencies_available + if dependencies_available(): + init_db() + except Exception as e: + logging.error(f"Failed to initialize database. Please ensure you have installed the latest requirements. If the error persists, please report this as in future the database will be required: {e}") + + +def start_comfyui(asyncio_loop=None): + """ + Starts the ComfyUI server using the provided asyncio event loop or creates a new one. + Returns the event loop, server instance, and a function to start the server asynchronously. + """ + if args.temp_directory: + temp_dir = os.path.join(os.path.abspath(args.temp_directory), "temp") + logging.info(f"Setting temp directory to: {temp_dir}") + folder_paths.set_temp_directory(temp_dir) + cleanup_temp() + + if args.windows_standalone_build: + try: + import new_updater + new_updater.update_windows_updater() + except: + pass + + if not asyncio_loop: + asyncio_loop = asyncio.new_event_loop() + asyncio.set_event_loop(asyncio_loop) + prompt_server = server.PromptServer(asyncio_loop) + + hook_breaker_ac10a0.save_functions() + asyncio_loop.run_until_complete(nodes.init_extra_nodes( + init_custom_nodes=(not args.disable_all_custom_nodes) or len(args.whitelist_custom_nodes) > 0, + init_api_nodes=not args.disable_api_nodes + )) + hook_breaker_ac10a0.restore_functions() + + cuda_malloc_warning() + setup_database() + + prompt_server.add_routes() + hijack_progress(prompt_server) + + threading.Thread(target=prompt_worker, daemon=True, args=(prompt_server.prompt_queue, prompt_server,)).start() + + if args.quick_test_for_ci: + exit(0) + + os.makedirs(folder_paths.get_temp_directory(), exist_ok=True) + call_on_start = None + if args.auto_launch: + def startup_server(scheme, address, port): + import webbrowser + if os.name == 'nt' and address == '0.0.0.0': + address = '127.0.0.1' + if ':' in address: + address = "[{}]".format(address) + webbrowser.open(f"{scheme}://{address}:{port}") + call_on_start = startup_server + + async def start_all(): + await prompt_server.setup() + await run(prompt_server, address=args.listen, port=args.port, verbose=not args.dont_print_server, call_on_start=call_on_start) + + # Returning these so that other code can integrate with the ComfyUI loop and server + return asyncio_loop, prompt_server, start_all + + +if __name__ == "__main__": + # Running directly, just start ComfyUI. + logging.info("Python version: {}".format(sys.version)) + logging.info("ComfyUI version: {}".format(comfyui_version.__version__)) + + if sys.version_info.major == 3 and sys.version_info.minor < 10: + logging.warning("WARNING: You are using a python version older than 3.10, please upgrade to a newer one. 3.12 and above is recommended.") + + event_loop, _, start_all_func = start_comfyui() + try: + x = start_all_func() + app.logger.print_startup_warnings() + event_loop.run_until_complete(x) + except KeyboardInterrupt: + logging.info("\nStopped server") + + cleanup_temp() diff --git a/middleware/__init__.py b/middleware/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2d7c7c3a9024de7be424d51aa2b729fd5a715a86 --- /dev/null +++ b/middleware/__init__.py @@ -0,0 +1 @@ +"""Server middleware modules""" diff --git a/middleware/cache_middleware.py b/middleware/cache_middleware.py new file mode 100644 index 0000000000000000000000000000000000000000..374ef7934ad4b78d8c8ffadd233f0508644c6a0d --- /dev/null +++ b/middleware/cache_middleware.py @@ -0,0 +1,52 @@ +"""Cache control middleware for ComfyUI server""" + +from aiohttp import web +from typing import Callable, Awaitable + +# Time in seconds +ONE_HOUR: int = 3600 +ONE_DAY: int = 86400 +IMG_EXTENSIONS = ( + ".jpg", + ".jpeg", + ".png", + ".ppm", + ".bmp", + ".pgm", + ".tif", + ".tiff", + ".webp", +) + + +@web.middleware +async def cache_control( + request: web.Request, handler: Callable[[web.Request], Awaitable[web.Response]] +) -> web.Response: + """Cache control middleware that sets appropriate cache headers based on file type and response status""" + response: web.Response = await handler(request) + + if ( + request.path.endswith(".js") + or request.path.endswith(".css") + or request.path.endswith("index.json") + ): + response.headers.setdefault("Cache-Control", "no-cache") + return response + + # Early return for non-image files - no cache headers needed + if not request.path.lower().endswith(IMG_EXTENSIONS): + return response + + # Handle image files + if response.status == 404: + response.headers.setdefault("Cache-Control", f"public, max-age={ONE_HOUR}") + elif response.status in (200, 201, 202, 203, 204, 205, 206, 301, 308): + # Success responses and permanent redirects - cache for 1 day + response.headers.setdefault("Cache-Control", f"public, max-age={ONE_DAY}") + elif response.status in (302, 303, 307): + # Temporary redirects - no cache + response.headers.setdefault("Cache-Control", "no-cache") + # Note: 304 Not Modified falls through - no cache headers set + + return response diff --git a/new_updater.py b/new_updater.py new file mode 100644 index 0000000000000000000000000000000000000000..9a203acdd71f62b3b1122cb879c75344f5859c5d --- /dev/null +++ b/new_updater.py @@ -0,0 +1,35 @@ +import os +import shutil + +base_path = os.path.dirname(os.path.realpath(__file__)) + + +def update_windows_updater(): + top_path = os.path.dirname(base_path) + updater_path = os.path.join(base_path, ".ci/update_windows/update.py") + bat_path = os.path.join(base_path, ".ci/update_windows/update_comfyui.bat") + + dest_updater_path = os.path.join(top_path, "update/update.py") + dest_bat_path = os.path.join(top_path, "update/update_comfyui.bat") + dest_bat_deps_path = os.path.join(top_path, "update/update_comfyui_and_python_dependencies.bat") + + try: + with open(dest_bat_path, 'rb') as f: + contents = f.read() + except: + return + + if not contents.startswith(b"..\\python_embeded\\python.exe .\\update.py"): + return + + shutil.copy(updater_path, dest_updater_path) + try: + with open(dest_bat_deps_path, 'rb') as f: + contents = f.read() + contents = contents.replace(b'..\\python_embeded\\python.exe .\\update.py ..\\ComfyUI\\', b'call update_comfyui.bat nopause') + with open(dest_bat_deps_path, 'wb') as f: + f.write(contents) + except: + pass + shutil.copy(bat_path, dest_bat_path) + print("Updated the windows standalone package updater.") # noqa: T201 diff --git a/node_helpers.py b/node_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..4ff960ef8afeadd935b6e48a9a683b7ef6970b2f --- /dev/null +++ b/node_helpers.py @@ -0,0 +1,60 @@ +import hashlib +import torch + +from comfy.cli_args import args + +from PIL import ImageFile, UnidentifiedImageError + +def conditioning_set_values(conditioning, values={}, append=False): + c = [] + for t in conditioning: + n = [t[0], t[1].copy()] + for k in values: + val = values[k] + if append: + old_val = n[1].get(k, None) + if old_val is not None: + val = old_val + val + + n[1][k] = val + c.append(n) + + return c + +def pillow(fn, arg): + prev_value = None + try: + x = fn(arg) + except (OSError, UnidentifiedImageError, ValueError): #PIL issues #4472 and #2445, also fixes ComfyUI issue #3416 + prev_value = ImageFile.LOAD_TRUNCATED_IMAGES + ImageFile.LOAD_TRUNCATED_IMAGES = True + x = fn(arg) + finally: + if prev_value is not None: + ImageFile.LOAD_TRUNCATED_IMAGES = prev_value + return x + +def hasher(): + hashfuncs = { + "md5": hashlib.md5, + "sha1": hashlib.sha1, + "sha256": hashlib.sha256, + "sha512": hashlib.sha512 + } + return hashfuncs[args.default_hashing_function] + +def string_to_torch_dtype(string): + if string == "fp32": + return torch.float32 + if string == "fp16": + return torch.float16 + if string == "bf16": + return torch.bfloat16 + +def image_alpha_fix(destination, source): + if destination.shape[-1] < source.shape[-1]: + source = source[...,:destination.shape[-1]] + elif destination.shape[-1] > source.shape[-1]: + destination = torch.nn.functional.pad(destination, (0, 1)) + destination[..., -1] = 1.0 + return destination, source diff --git a/nodes.py b/nodes.py new file mode 100644 index 0000000000000000000000000000000000000000..5a5fdcb8ee4e9a78a2c208941f57b772895af1e0 --- /dev/null +++ b/nodes.py @@ -0,0 +1,2420 @@ +from __future__ import annotations +import torch + + +import os +import sys +import json +import hashlib +import inspect +import traceback +import math +import time +import random +import logging + +from PIL import Image, ImageOps, ImageSequence +from PIL.PngImagePlugin import PngInfo + +import numpy as np +import safetensors.torch + +sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy")) + +import comfy.diffusers_load +import comfy.samplers +import comfy.sample +import comfy.sd +import comfy.utils +import comfy.controlnet +from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict, FileLocator +from comfy_api.internal import register_versions, ComfyAPIWithVersion +from comfy_api.version_list import supported_versions +from comfy_api.latest import io, ComfyExtension + +import comfy.clip_vision + +import comfy.model_management +from comfy.cli_args import args + +import importlib + +import folder_paths +import latent_preview +import node_helpers + +def before_node_execution(): + comfy.model_management.throw_exception_if_processing_interrupted() + +def interrupt_processing(value=True): + comfy.model_management.interrupt_current_processing(value) + +MAX_RESOLUTION=16384 + +class CLIPTextEncode(ComfyNodeABC): + @classmethod + def INPUT_TYPES(s) -> InputTypeDict: + return { + "required": { + "text": (IO.STRING, {"multiline": True, "dynamicPrompts": True, "tooltip": "The text to be encoded."}), + "clip": (IO.CLIP, {"tooltip": "The CLIP model used for encoding the text."}) + } + } + RETURN_TYPES = (IO.CONDITIONING,) + OUTPUT_TOOLTIPS = ("A conditioning containing the embedded text used to guide the diffusion model.",) + FUNCTION = "encode" + + CATEGORY = "conditioning" + DESCRIPTION = "Encodes a text prompt using a CLIP model into an embedding that can be used to guide the diffusion model towards generating specific images." + + def encode(self, clip, text): + if clip is None: + raise RuntimeError("ERROR: clip input is invalid: None\n\nIf the clip is from a checkpoint loader node your checkpoint does not contain a valid clip or text encoder model.") + tokens = clip.tokenize(text) + return (clip.encode_from_tokens_scheduled(tokens), ) + + +class ConditioningCombine: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning_1": ("CONDITIONING", ), "conditioning_2": ("CONDITIONING", )}} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "combine" + + CATEGORY = "conditioning" + + def combine(self, conditioning_1, conditioning_2): + return (conditioning_1 + conditioning_2, ) + +class ConditioningAverage : + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning_to": ("CONDITIONING", ), "conditioning_from": ("CONDITIONING", ), + "conditioning_to_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}) + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "addWeighted" + + CATEGORY = "conditioning" + + def addWeighted(self, conditioning_to, conditioning_from, conditioning_to_strength): + out = [] + + if len(conditioning_from) > 1: + logging.warning("Warning: ConditioningAverage conditioning_from contains more than 1 cond, only the first one will actually be applied to conditioning_to.") + + cond_from = conditioning_from[0][0] + pooled_output_from = conditioning_from[0][1].get("pooled_output", None) + + for i in range(len(conditioning_to)): + t1 = conditioning_to[i][0] + pooled_output_to = conditioning_to[i][1].get("pooled_output", pooled_output_from) + t0 = cond_from[:,:t1.shape[1]] + if t0.shape[1] < t1.shape[1]: + t0 = torch.cat([t0] + [torch.zeros((1, (t1.shape[1] - t0.shape[1]), t1.shape[2]))], dim=1) + + tw = torch.mul(t1, conditioning_to_strength) + torch.mul(t0, (1.0 - conditioning_to_strength)) + t_to = conditioning_to[i][1].copy() + if pooled_output_from is not None and pooled_output_to is not None: + t_to["pooled_output"] = torch.mul(pooled_output_to, conditioning_to_strength) + torch.mul(pooled_output_from, (1.0 - conditioning_to_strength)) + elif pooled_output_from is not None: + t_to["pooled_output"] = pooled_output_from + + n = [tw, t_to] + out.append(n) + return (out, ) + +class ConditioningConcat: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "conditioning_to": ("CONDITIONING",), + "conditioning_from": ("CONDITIONING",), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "concat" + + CATEGORY = "conditioning" + + def concat(self, conditioning_to, conditioning_from): + out = [] + + if len(conditioning_from) > 1: + logging.warning("Warning: ConditioningConcat conditioning_from contains more than 1 cond, only the first one will actually be applied to conditioning_to.") + + cond_from = conditioning_from[0][0] + + for i in range(len(conditioning_to)): + t1 = conditioning_to[i][0] + tw = torch.cat((t1, cond_from),1) + n = [tw, conditioning_to[i][1].copy()] + out.append(n) + + return (out, ) + +class ConditioningSetArea: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "width": ("INT", {"default": 64, "min": 64, "max": MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 64, "min": 64, "max": MAX_RESOLUTION, "step": 8}), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "conditioning" + + def append(self, conditioning, width, height, x, y, strength): + c = node_helpers.conditioning_set_values(conditioning, {"area": (height // 8, width // 8, y // 8, x // 8), + "strength": strength, + "set_area_to_bounds": False}) + return (c, ) + +class ConditioningSetAreaPercentage: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "width": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}), + "height": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}), + "x": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}), + "y": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "conditioning" + + def append(self, conditioning, width, height, x, y, strength): + c = node_helpers.conditioning_set_values(conditioning, {"area": ("percentage", height, width, y, x), + "strength": strength, + "set_area_to_bounds": False}) + return (c, ) + +class ConditioningSetAreaStrength: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "conditioning" + + def append(self, conditioning, strength): + c = node_helpers.conditioning_set_values(conditioning, {"strength": strength}) + return (c, ) + + +class ConditioningSetMask: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "mask": ("MASK", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "set_cond_area": (["default", "mask bounds"],), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "conditioning" + + def append(self, conditioning, mask, set_cond_area, strength): + set_area_to_bounds = False + if set_cond_area != "default": + set_area_to_bounds = True + if len(mask.shape) < 3: + mask = mask.unsqueeze(0) + + c = node_helpers.conditioning_set_values(conditioning, {"mask": mask, + "set_area_to_bounds": set_area_to_bounds, + "mask_strength": strength}) + return (c, ) + +class ConditioningZeroOut: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", )}} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "zero_out" + + CATEGORY = "advanced/conditioning" + + def zero_out(self, conditioning): + c = [] + for t in conditioning: + d = t[1].copy() + pooled_output = d.get("pooled_output", None) + if pooled_output is not None: + d["pooled_output"] = torch.zeros_like(pooled_output) + conditioning_lyrics = d.get("conditioning_lyrics", None) + if conditioning_lyrics is not None: + d["conditioning_lyrics"] = torch.zeros_like(conditioning_lyrics) + n = [torch.zeros_like(t[0]), d] + c.append(n) + return (c, ) + +class ConditioningSetTimestepRange: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "start": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}) + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "set_range" + + CATEGORY = "advanced/conditioning" + + def set_range(self, conditioning, start, end): + c = node_helpers.conditioning_set_values(conditioning, {"start_percent": start, + "end_percent": end}) + return (c, ) + +class VAEDecode: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "samples": ("LATENT", {"tooltip": "The latent to be decoded."}), + "vae": ("VAE", {"tooltip": "The VAE model used for decoding the latent."}) + } + } + RETURN_TYPES = ("IMAGE",) + OUTPUT_TOOLTIPS = ("The decoded image.",) + FUNCTION = "decode" + + CATEGORY = "latent" + DESCRIPTION = "Decodes latent images back into pixel space images." + + def decode(self, vae, samples): + images = vae.decode(samples["samples"]) + if len(images.shape) == 5: #Combine batches + images = images.reshape(-1, images.shape[-3], images.shape[-2], images.shape[-1]) + return (images, ) + +class VAEDecodeTiled: + @classmethod + def INPUT_TYPES(s): + return {"required": {"samples": ("LATENT", ), "vae": ("VAE", ), + "tile_size": ("INT", {"default": 512, "min": 64, "max": 4096, "step": 32}), + "overlap": ("INT", {"default": 64, "min": 0, "max": 4096, "step": 32}), + "temporal_size": ("INT", {"default": 64, "min": 8, "max": 4096, "step": 4, "tooltip": "Only used for video VAEs: Amount of frames to decode at a time."}), + "temporal_overlap": ("INT", {"default": 8, "min": 4, "max": 4096, "step": 4, "tooltip": "Only used for video VAEs: Amount of frames to overlap."}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "decode" + + CATEGORY = "_for_testing" + + def decode(self, vae, samples, tile_size, overlap=64, temporal_size=64, temporal_overlap=8): + if tile_size < overlap * 4: + overlap = tile_size // 4 + if temporal_size < temporal_overlap * 2: + temporal_overlap = temporal_overlap // 2 + temporal_compression = vae.temporal_compression_decode() + if temporal_compression is not None: + temporal_size = max(2, temporal_size // temporal_compression) + temporal_overlap = max(1, min(temporal_size // 2, temporal_overlap // temporal_compression)) + else: + temporal_size = None + temporal_overlap = None + + compression = vae.spacial_compression_decode() + images = vae.decode_tiled(samples["samples"], tile_x=tile_size // compression, tile_y=tile_size // compression, overlap=overlap // compression, tile_t=temporal_size, overlap_t=temporal_overlap) + if len(images.shape) == 5: #Combine batches + images = images.reshape(-1, images.shape[-3], images.shape[-2], images.shape[-1]) + return (images, ) + +class VAEEncode: + @classmethod + def INPUT_TYPES(s): + return {"required": { "pixels": ("IMAGE", ), "vae": ("VAE", )}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "encode" + + CATEGORY = "latent" + + def encode(self, vae, pixels): + t = vae.encode(pixels[:,:,:,:3]) + return ({"samples":t}, ) + +class VAEEncodeTiled: + @classmethod + def INPUT_TYPES(s): + return {"required": {"pixels": ("IMAGE", ), "vae": ("VAE", ), + "tile_size": ("INT", {"default": 512, "min": 64, "max": 4096, "step": 64}), + "overlap": ("INT", {"default": 64, "min": 0, "max": 4096, "step": 32}), + "temporal_size": ("INT", {"default": 64, "min": 8, "max": 4096, "step": 4, "tooltip": "Only used for video VAEs: Amount of frames to encode at a time."}), + "temporal_overlap": ("INT", {"default": 8, "min": 4, "max": 4096, "step": 4, "tooltip": "Only used for video VAEs: Amount of frames to overlap."}), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "encode" + + CATEGORY = "_for_testing" + + def encode(self, vae, pixels, tile_size, overlap, temporal_size=64, temporal_overlap=8): + t = vae.encode_tiled(pixels[:,:,:,:3], tile_x=tile_size, tile_y=tile_size, overlap=overlap, tile_t=temporal_size, overlap_t=temporal_overlap) + return ({"samples": t}, ) + +class VAEEncodeForInpaint: + @classmethod + def INPUT_TYPES(s): + return {"required": { "pixels": ("IMAGE", ), "vae": ("VAE", ), "mask": ("MASK", ), "grow_mask_by": ("INT", {"default": 6, "min": 0, "max": 64, "step": 1}),}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "encode" + + CATEGORY = "latent/inpaint" + + def encode(self, vae, pixels, mask, grow_mask_by=6): + x = (pixels.shape[1] // vae.downscale_ratio) * vae.downscale_ratio + y = (pixels.shape[2] // vae.downscale_ratio) * vae.downscale_ratio + mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear") + + pixels = pixels.clone() + if pixels.shape[1] != x or pixels.shape[2] != y: + x_offset = (pixels.shape[1] % vae.downscale_ratio) // 2 + y_offset = (pixels.shape[2] % vae.downscale_ratio) // 2 + pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:] + mask = mask[:,:,x_offset:x + x_offset, y_offset:y + y_offset] + + #grow mask by a few pixels to keep things seamless in latent space + if grow_mask_by == 0: + mask_erosion = mask + else: + kernel_tensor = torch.ones((1, 1, grow_mask_by, grow_mask_by)) + padding = math.ceil((grow_mask_by - 1) / 2) + + mask_erosion = torch.clamp(torch.nn.functional.conv2d(mask.round(), kernel_tensor, padding=padding), 0, 1) + + m = (1.0 - mask.round()).squeeze(1) + for i in range(3): + pixels[:,:,:,i] -= 0.5 + pixels[:,:,:,i] *= m + pixels[:,:,:,i] += 0.5 + t = vae.encode(pixels) + + return ({"samples":t, "noise_mask": (mask_erosion[:,:,:x,:y].round())}, ) + + +class InpaintModelConditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "vae": ("VAE", ), + "pixels": ("IMAGE", ), + "mask": ("MASK", ), + "noise_mask": ("BOOLEAN", {"default": True, "tooltip": "Add a noise mask to the latent so sampling will only happen within the mask. Might improve results or completely break things depending on the model."}), + }} + + RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT") + RETURN_NAMES = ("positive", "negative", "latent") + FUNCTION = "encode" + + CATEGORY = "conditioning/inpaint" + + def encode(self, positive, negative, pixels, vae, mask, noise_mask=True): + x = (pixels.shape[1] // 8) * 8 + y = (pixels.shape[2] // 8) * 8 + mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear") + + orig_pixels = pixels + pixels = orig_pixels.clone() + if pixels.shape[1] != x or pixels.shape[2] != y: + x_offset = (pixels.shape[1] % 8) // 2 + y_offset = (pixels.shape[2] % 8) // 2 + pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:] + mask = mask[:,:,x_offset:x + x_offset, y_offset:y + y_offset] + + m = (1.0 - mask.round()).squeeze(1) + for i in range(3): + pixels[:,:,:,i] -= 0.5 + pixels[:,:,:,i] *= m + pixels[:,:,:,i] += 0.5 + concat_latent = vae.encode(pixels) + orig_latent = vae.encode(orig_pixels) + + out_latent = {} + + out_latent["samples"] = orig_latent + if noise_mask: + out_latent["noise_mask"] = mask + + out = [] + for conditioning in [positive, negative]: + c = node_helpers.conditioning_set_values(conditioning, {"concat_latent_image": concat_latent, + "concat_mask": mask}) + out.append(c) + return (out[0], out[1], out_latent) + + +class SaveLatent: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT", ), + "filename_prefix": ("STRING", {"default": "latents/ComfyUI"})}, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + RETURN_TYPES = () + FUNCTION = "save" + + OUTPUT_NODE = True + + CATEGORY = "_for_testing" + + def save(self, samples, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None): + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir) + + # support save metadata for latent sharing + prompt_info = "" + if prompt is not None: + prompt_info = json.dumps(prompt) + + metadata = None + if not args.disable_metadata: + metadata = {"prompt": prompt_info} + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata[x] = json.dumps(extra_pnginfo[x]) + + file = f"{filename}_{counter:05}_.latent" + + results: list[FileLocator] = [] + results.append({ + "filename": file, + "subfolder": subfolder, + "type": "output" + }) + + file = os.path.join(full_output_folder, file) + + output = {} + output["latent_tensor"] = samples["samples"].contiguous() + output["latent_format_version_0"] = torch.tensor([]) + + comfy.utils.save_torch_file(output, file, metadata=metadata) + return { "ui": { "latents": results } } + + +class LoadLatent: + @classmethod + def INPUT_TYPES(s): + input_dir = folder_paths.get_input_directory() + files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f)) and f.endswith(".latent")] + return {"required": {"latent": [sorted(files), ]}, } + + CATEGORY = "_for_testing" + + RETURN_TYPES = ("LATENT", ) + FUNCTION = "load" + + def load(self, latent): + latent_path = folder_paths.get_annotated_filepath(latent) + latent = safetensors.torch.load_file(latent_path, device="cpu") + multiplier = 1.0 + if "latent_format_version_0" not in latent: + multiplier = 1.0 / 0.18215 + samples = {"samples": latent["latent_tensor"].float() * multiplier} + return (samples, ) + + @classmethod + def IS_CHANGED(s, latent): + image_path = folder_paths.get_annotated_filepath(latent) + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + return m.digest().hex() + + @classmethod + def VALIDATE_INPUTS(s, latent): + if not folder_paths.exists_annotated_filepath(latent): + return "Invalid latent file: {}".format(latent) + return True + + +class CheckpointLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "config_name": (folder_paths.get_filename_list("configs"), ), + "ckpt_name": (folder_paths.get_filename_list("checkpoints"), )}} + RETURN_TYPES = ("MODEL", "CLIP", "VAE") + FUNCTION = "load_checkpoint" + + CATEGORY = "advanced/loaders" + DEPRECATED = True + + def load_checkpoint(self, config_name, ckpt_name): + config_path = folder_paths.get_full_path("configs", config_name) + ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name) + return comfy.sd.load_checkpoint(config_path, ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) + +class CheckpointLoaderSimple: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "ckpt_name": (folder_paths.get_filename_list("checkpoints"), {"tooltip": "The name of the checkpoint (model) to load."}), + } + } + RETURN_TYPES = ("MODEL", "CLIP", "VAE") + OUTPUT_TOOLTIPS = ("The model used for denoising latents.", + "The CLIP model used for encoding text prompts.", + "The VAE model used for encoding and decoding images to and from latent space.") + FUNCTION = "load_checkpoint" + + CATEGORY = "loaders" + DESCRIPTION = "Loads a diffusion model checkpoint, diffusion models are used to denoise latents." + + def load_checkpoint(self, ckpt_name): + ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name) + out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) + return out[:3] + +class DiffusersLoader: + @classmethod + def INPUT_TYPES(cls): + paths = [] + for search_path in folder_paths.get_folder_paths("diffusers"): + if os.path.exists(search_path): + for root, subdir, files in os.walk(search_path, followlinks=True): + if "model_index.json" in files: + paths.append(os.path.relpath(root, start=search_path)) + + return {"required": {"model_path": (paths,), }} + RETURN_TYPES = ("MODEL", "CLIP", "VAE") + FUNCTION = "load_checkpoint" + + CATEGORY = "advanced/loaders/deprecated" + + def load_checkpoint(self, model_path, output_vae=True, output_clip=True): + for search_path in folder_paths.get_folder_paths("diffusers"): + if os.path.exists(search_path): + path = os.path.join(search_path, model_path) + if os.path.exists(path): + model_path = path + break + + return comfy.diffusers_load.load_diffusers(model_path, output_vae=output_vae, output_clip=output_clip, embedding_directory=folder_paths.get_folder_paths("embeddings")) + + +class unCLIPCheckpointLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ), + }} + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "CLIP_VISION") + FUNCTION = "load_checkpoint" + + CATEGORY = "loaders" + + def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True): + ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name) + out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=True, embedding_directory=folder_paths.get_folder_paths("embeddings")) + return out + +class CLIPSetLastLayer: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip": ("CLIP", ), + "stop_at_clip_layer": ("INT", {"default": -1, "min": -24, "max": -1, "step": 1}), + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "set_last_layer" + + CATEGORY = "conditioning" + + def set_last_layer(self, clip, stop_at_clip_layer): + clip = clip.clone() + clip.clip_layer(stop_at_clip_layer) + return (clip,) + +class LoraLoader: + def __init__(self): + self.loaded_lora = None + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}), + "clip": ("CLIP", {"tooltip": "The CLIP model the LoRA will be applied to."}), + "lora_name": (folder_paths.get_filename_list("loras"), {"tooltip": "The name of the LoRA."}), + "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the diffusion model. This value can be negative."}), + "strength_clip": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the CLIP model. This value can be negative."}), + } + } + + RETURN_TYPES = ("MODEL", "CLIP") + OUTPUT_TOOLTIPS = ("The modified diffusion model.", "The modified CLIP model.") + FUNCTION = "load_lora" + + CATEGORY = "loaders" + DESCRIPTION = "LoRAs are used to modify diffusion and CLIP models, altering the way in which latents are denoised such as applying styles. Multiple LoRA nodes can be linked together." + + def load_lora(self, model, clip, lora_name, strength_model, strength_clip): + if strength_model == 0 and strength_clip == 0: + return (model, clip) + + lora_path = folder_paths.get_full_path_or_raise("loras", lora_name) + lora = None + if self.loaded_lora is not None: + if self.loaded_lora[0] == lora_path: + lora = self.loaded_lora[1] + else: + self.loaded_lora = None + + if lora is None: + lora = comfy.utils.load_torch_file(lora_path, safe_load=True) + self.loaded_lora = (lora_path, lora) + + model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip) + return (model_lora, clip_lora) + +class LoraLoaderModelOnly(LoraLoader): + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "lora_name": (folder_paths.get_filename_list("loras"), ), + "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}), + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "load_lora_model_only" + + def load_lora_model_only(self, model, lora_name, strength_model): + return (self.load_lora(model, None, lora_name, strength_model, 0)[0],) + +class VAELoader: + @staticmethod + def vae_list(): + vaes = folder_paths.get_filename_list("vae") + approx_vaes = folder_paths.get_filename_list("vae_approx") + sdxl_taesd_enc = False + sdxl_taesd_dec = False + sd1_taesd_enc = False + sd1_taesd_dec = False + sd3_taesd_enc = False + sd3_taesd_dec = False + f1_taesd_enc = False + f1_taesd_dec = False + + for v in approx_vaes: + if v.startswith("taesd_decoder."): + sd1_taesd_dec = True + elif v.startswith("taesd_encoder."): + sd1_taesd_enc = True + elif v.startswith("taesdxl_decoder."): + sdxl_taesd_dec = True + elif v.startswith("taesdxl_encoder."): + sdxl_taesd_enc = True + elif v.startswith("taesd3_decoder."): + sd3_taesd_dec = True + elif v.startswith("taesd3_encoder."): + sd3_taesd_enc = True + elif v.startswith("taef1_encoder."): + f1_taesd_dec = True + elif v.startswith("taef1_decoder."): + f1_taesd_enc = True + if sd1_taesd_dec and sd1_taesd_enc: + vaes.append("taesd") + if sdxl_taesd_dec and sdxl_taesd_enc: + vaes.append("taesdxl") + if sd3_taesd_dec and sd3_taesd_enc: + vaes.append("taesd3") + if f1_taesd_dec and f1_taesd_enc: + vaes.append("taef1") + vaes.append("pixel_space") + return vaes + + @staticmethod + def load_taesd(name): + sd = {} + approx_vaes = folder_paths.get_filename_list("vae_approx") + + encoder = next(filter(lambda a: a.startswith("{}_encoder.".format(name)), approx_vaes)) + decoder = next(filter(lambda a: a.startswith("{}_decoder.".format(name)), approx_vaes)) + + enc = comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise("vae_approx", encoder)) + for k in enc: + sd["taesd_encoder.{}".format(k)] = enc[k] + + dec = comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise("vae_approx", decoder)) + for k in dec: + sd["taesd_decoder.{}".format(k)] = dec[k] + + if name == "taesd": + sd["vae_scale"] = torch.tensor(0.18215) + sd["vae_shift"] = torch.tensor(0.0) + elif name == "taesdxl": + sd["vae_scale"] = torch.tensor(0.13025) + sd["vae_shift"] = torch.tensor(0.0) + elif name == "taesd3": + sd["vae_scale"] = torch.tensor(1.5305) + sd["vae_shift"] = torch.tensor(0.0609) + elif name == "taef1": + sd["vae_scale"] = torch.tensor(0.3611) + sd["vae_shift"] = torch.tensor(0.1159) + return sd + + @classmethod + def INPUT_TYPES(s): + return {"required": { "vae_name": (s.vae_list(), )}} + RETURN_TYPES = ("VAE",) + FUNCTION = "load_vae" + + CATEGORY = "loaders" + + #TODO: scale factor? + def load_vae(self, vae_name): + if vae_name == "pixel_space": + sd = {} + sd["pixel_space_vae"] = torch.tensor(1.0) + elif vae_name in ["taesd", "taesdxl", "taesd3", "taef1"]: + sd = self.load_taesd(vae_name) + else: + vae_path = folder_paths.get_full_path_or_raise("vae", vae_name) + sd = comfy.utils.load_torch_file(vae_path) + vae = comfy.sd.VAE(sd=sd) + vae.throw_exception_if_invalid() + return (vae,) + +class ControlNetLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "control_net_name": (folder_paths.get_filename_list("controlnet"), )}} + + RETURN_TYPES = ("CONTROL_NET",) + FUNCTION = "load_controlnet" + + CATEGORY = "loaders" + + def load_controlnet(self, control_net_name): + controlnet_path = folder_paths.get_full_path_or_raise("controlnet", control_net_name) + controlnet = comfy.controlnet.load_controlnet(controlnet_path) + if controlnet is None: + raise RuntimeError("ERROR: controlnet file is invalid and does not contain a valid controlnet model.") + return (controlnet,) + +class DiffControlNetLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "model": ("MODEL",), + "control_net_name": (folder_paths.get_filename_list("controlnet"), )}} + + RETURN_TYPES = ("CONTROL_NET",) + FUNCTION = "load_controlnet" + + CATEGORY = "loaders" + + def load_controlnet(self, model, control_net_name): + controlnet_path = folder_paths.get_full_path_or_raise("controlnet", control_net_name) + controlnet = comfy.controlnet.load_controlnet(controlnet_path, model) + return (controlnet,) + + +class ControlNetApply: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "control_net": ("CONTROL_NET", ), + "image": ("IMAGE", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}) + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "apply_controlnet" + + DEPRECATED = True + CATEGORY = "conditioning/controlnet" + + def apply_controlnet(self, conditioning, control_net, image, strength): + if strength == 0: + return (conditioning, ) + + c = [] + control_hint = image.movedim(-1,1) + for t in conditioning: + n = [t[0], t[1].copy()] + c_net = control_net.copy().set_cond_hint(control_hint, strength) + if 'control' in t[1]: + c_net.set_previous_controlnet(t[1]['control']) + n[1]['control'] = c_net + n[1]['control_apply_to_uncond'] = True + c.append(n) + return (c, ) + + +class ControlNetApplyAdvanced: + @classmethod + def INPUT_TYPES(s): + return {"required": {"positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "control_net": ("CONTROL_NET", ), + "image": ("IMAGE", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}), + "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}), + "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}) + }, + "optional": {"vae": ("VAE", ), + } + } + + RETURN_TYPES = ("CONDITIONING","CONDITIONING") + RETURN_NAMES = ("positive", "negative") + FUNCTION = "apply_controlnet" + + CATEGORY = "conditioning/controlnet" + + def apply_controlnet(self, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None, extra_concat=[]): + if strength == 0: + return (positive, negative) + + control_hint = image.movedim(-1,1) + cnets = {} + + out = [] + for conditioning in [positive, negative]: + c = [] + for t in conditioning: + d = t[1].copy() + + prev_cnet = d.get('control', None) + if prev_cnet in cnets: + c_net = cnets[prev_cnet] + else: + c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae=vae, extra_concat=extra_concat) + c_net.set_previous_controlnet(prev_cnet) + cnets[prev_cnet] = c_net + + d['control'] = c_net + d['control_apply_to_uncond'] = False + n = [t[0], d] + c.append(n) + out.append(c) + return (out[0], out[1]) + + +class UNETLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "unet_name": (folder_paths.get_filename_list("diffusion_models"), ), + "weight_dtype": (["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2"],) + }} + RETURN_TYPES = ("MODEL",) + FUNCTION = "load_unet" + + CATEGORY = "advanced/loaders" + + def load_unet(self, unet_name, weight_dtype): + model_options = {} + if weight_dtype == "fp8_e4m3fn": + model_options["dtype"] = torch.float8_e4m3fn + elif weight_dtype == "fp8_e4m3fn_fast": + model_options["dtype"] = torch.float8_e4m3fn + model_options["fp8_optimizations"] = True + elif weight_dtype == "fp8_e5m2": + model_options["dtype"] = torch.float8_e5m2 + + unet_path = folder_paths.get_full_path_or_raise("diffusion_models", unet_name) + model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options) + return (model,) + +class CLIPLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_name": (folder_paths.get_filename_list("text_encoders"), ), + "type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio", "mochi", "ltxv", "pixart", "cosmos", "lumina2", "wan", "hidream", "chroma", "ace", "omnigen2", "qwen_image", "hunyuan_image"], ), + }, + "optional": { + "device": (["default", "cpu"], {"advanced": True}), + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "load_clip" + + CATEGORY = "advanced/loaders" + + DESCRIPTION = "[Recipes]\n\nstable_diffusion: clip-l\nstable_cascade: clip-g\nsd3: t5 xxl/ clip-g / clip-l\nstable_audio: t5 base\nmochi: t5 xxl\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl\n hidream: llama-3.1 (Recommend) or t5\nomnigen2: qwen vl 2.5 3B" + + def load_clip(self, clip_name, type="stable_diffusion", device="default"): + clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION) + + model_options = {} + if device == "cpu": + model_options["load_device"] = model_options["offload_device"] = torch.device("cpu") + + clip_path = folder_paths.get_full_path_or_raise("text_encoders", clip_name) + clip = comfy.sd.load_clip(ckpt_paths=[clip_path], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type, model_options=model_options) + return (clip,) + +class DualCLIPLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ), + "clip_name2": (folder_paths.get_filename_list("text_encoders"), ), + "type": (["sdxl", "sd3", "flux", "hunyuan_video", "hidream", "hunyuan_image"], ), + }, + "optional": { + "device": (["default", "cpu"], {"advanced": True}), + }} + RETURN_TYPES = ("CLIP",) + FUNCTION = "load_clip" + + CATEGORY = "advanced/loaders" + + DESCRIPTION = "[Recipes]\n\nsdxl: clip-l, clip-g\nsd3: clip-l, clip-g / clip-l, t5 / clip-g, t5\nflux: clip-l, t5\nhidream: at least one of t5 or llama, recommended t5 and llama\nhunyuan_image: qwen2.5vl 7b and byt5 small" + + def load_clip(self, clip_name1, clip_name2, type, device="default"): + clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION) + + clip_path1 = folder_paths.get_full_path_or_raise("text_encoders", clip_name1) + clip_path2 = folder_paths.get_full_path_or_raise("text_encoders", clip_name2) + + model_options = {} + if device == "cpu": + model_options["load_device"] = model_options["offload_device"] = torch.device("cpu") + + clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type, model_options=model_options) + return (clip,) + +class CLIPVisionLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_name": (folder_paths.get_filename_list("clip_vision"), ), + }} + RETURN_TYPES = ("CLIP_VISION",) + FUNCTION = "load_clip" + + CATEGORY = "loaders" + + def load_clip(self, clip_name): + clip_path = folder_paths.get_full_path_or_raise("clip_vision", clip_name) + clip_vision = comfy.clip_vision.load(clip_path) + if clip_vision is None: + raise RuntimeError("ERROR: clip vision file is invalid and does not contain a valid vision model.") + return (clip_vision,) + +class CLIPVisionEncode: + @classmethod + def INPUT_TYPES(s): + return {"required": { "clip_vision": ("CLIP_VISION",), + "image": ("IMAGE",), + "crop": (["center", "none"],) + }} + RETURN_TYPES = ("CLIP_VISION_OUTPUT",) + FUNCTION = "encode" + + CATEGORY = "conditioning" + + def encode(self, clip_vision, image, crop): + crop_image = True + if crop != "center": + crop_image = False + output = clip_vision.encode_image(image, crop=crop_image) + return (output,) + +class StyleModelLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "style_model_name": (folder_paths.get_filename_list("style_models"), )}} + + RETURN_TYPES = ("STYLE_MODEL",) + FUNCTION = "load_style_model" + + CATEGORY = "loaders" + + def load_style_model(self, style_model_name): + style_model_path = folder_paths.get_full_path_or_raise("style_models", style_model_name) + style_model = comfy.sd.load_style_model(style_model_path) + return (style_model,) + + +class StyleModelApply: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "style_model": ("STYLE_MODEL", ), + "clip_vision_output": ("CLIP_VISION_OUTPUT", ), + "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}), + "strength_type": (["multiply", "attn_bias"], ), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "apply_stylemodel" + + CATEGORY = "conditioning/style_model" + + def apply_stylemodel(self, conditioning, style_model, clip_vision_output, strength, strength_type): + cond = style_model.get_cond(clip_vision_output).flatten(start_dim=0, end_dim=1).unsqueeze(dim=0) + if strength_type == "multiply": + cond *= strength + + n = cond.shape[1] + c_out = [] + for t in conditioning: + (txt, keys) = t + keys = keys.copy() + # even if the strength is 1.0 (i.e, no change), if there's already a mask, we have to add to it + if "attention_mask" in keys or (strength_type == "attn_bias" and strength != 1.0): + # math.log raises an error if the argument is zero + # torch.log returns -inf, which is what we want + attn_bias = torch.log(torch.Tensor([strength if strength_type == "attn_bias" else 1.0])) + # get the size of the mask image + mask_ref_size = keys.get("attention_mask_img_shape", (1, 1)) + n_ref = mask_ref_size[0] * mask_ref_size[1] + n_txt = txt.shape[1] + # grab the existing mask + mask = keys.get("attention_mask", None) + # create a default mask if it doesn't exist + if mask is None: + mask = torch.zeros((txt.shape[0], n_txt + n_ref, n_txt + n_ref), dtype=torch.float16) + # convert the mask dtype, because it might be boolean + # we want it to be interpreted as a bias + if mask.dtype == torch.bool: + # log(True) = log(1) = 0 + # log(False) = log(0) = -inf + mask = torch.log(mask.to(dtype=torch.float16)) + # now we make the mask bigger to add space for our new tokens + new_mask = torch.zeros((txt.shape[0], n_txt + n + n_ref, n_txt + n + n_ref), dtype=torch.float16) + # copy over the old mask, in quandrants + new_mask[:, :n_txt, :n_txt] = mask[:, :n_txt, :n_txt] + new_mask[:, :n_txt, n_txt+n:] = mask[:, :n_txt, n_txt:] + new_mask[:, n_txt+n:, :n_txt] = mask[:, n_txt:, :n_txt] + new_mask[:, n_txt+n:, n_txt+n:] = mask[:, n_txt:, n_txt:] + # now fill in the attention bias to our redux tokens + new_mask[:, :n_txt, n_txt:n_txt+n] = attn_bias + new_mask[:, n_txt+n:, n_txt:n_txt+n] = attn_bias + keys["attention_mask"] = new_mask.to(txt.device) + keys["attention_mask_img_shape"] = mask_ref_size + + c_out.append([torch.cat((txt, cond), dim=1), keys]) + + return (c_out,) + +class unCLIPConditioning: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning": ("CONDITIONING", ), + "clip_vision_output": ("CLIP_VISION_OUTPUT", ), + "strength": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}), + "noise_augmentation": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "apply_adm" + + CATEGORY = "conditioning" + + def apply_adm(self, conditioning, clip_vision_output, strength, noise_augmentation): + if strength == 0: + return (conditioning, ) + + c = node_helpers.conditioning_set_values(conditioning, {"unclip_conditioning": [{"clip_vision_output": clip_vision_output, "strength": strength, "noise_augmentation": noise_augmentation}]}, append=True) + return (c, ) + +class GLIGENLoader: + @classmethod + def INPUT_TYPES(s): + return {"required": { "gligen_name": (folder_paths.get_filename_list("gligen"), )}} + + RETURN_TYPES = ("GLIGEN",) + FUNCTION = "load_gligen" + + CATEGORY = "loaders" + + def load_gligen(self, gligen_name): + gligen_path = folder_paths.get_full_path_or_raise("gligen", gligen_name) + gligen = comfy.sd.load_gligen(gligen_path) + return (gligen,) + +class GLIGENTextBoxApply: + @classmethod + def INPUT_TYPES(s): + return {"required": {"conditioning_to": ("CONDITIONING", ), + "clip": ("CLIP", ), + "gligen_textbox_model": ("GLIGEN", ), + "text": ("STRING", {"multiline": True, "dynamicPrompts": True}), + "width": ("INT", {"default": 64, "min": 8, "max": MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 64, "min": 8, "max": MAX_RESOLUTION, "step": 8}), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + }} + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "append" + + CATEGORY = "conditioning/gligen" + + def append(self, conditioning_to, clip, gligen_textbox_model, text, width, height, x, y): + c = [] + cond, cond_pooled = clip.encode_from_tokens(clip.tokenize(text), return_pooled="unprojected") + for t in conditioning_to: + n = [t[0], t[1].copy()] + position_params = [(cond_pooled, height // 8, width // 8, y // 8, x // 8)] + prev = [] + if "gligen" in n[1]: + prev = n[1]['gligen'][2] + + n[1]['gligen'] = ("position", gligen_textbox_model, prev + position_params) + c.append(n) + return (c, ) + +class EmptyLatentImage: + def __init__(self): + self.device = comfy.model_management.intermediate_device() + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "width": ("INT", {"default": 512, "min": 16, "max": MAX_RESOLUTION, "step": 8, "tooltip": "The width of the latent images in pixels."}), + "height": ("INT", {"default": 512, "min": 16, "max": MAX_RESOLUTION, "step": 8, "tooltip": "The height of the latent images in pixels."}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096, "tooltip": "The number of latent images in the batch."}) + } + } + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("The empty latent image batch.",) + FUNCTION = "generate" + + CATEGORY = "latent" + DESCRIPTION = "Create a new batch of empty latent images to be denoised via sampling." + + def generate(self, width, height, batch_size=1): + latent = torch.zeros([batch_size, 4, height // 8, width // 8], device=self.device) + return ({"samples":latent}, ) + + +class LatentFromBatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "batch_index": ("INT", {"default": 0, "min": 0, "max": 63}), + "length": ("INT", {"default": 1, "min": 1, "max": 64}), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "frombatch" + + CATEGORY = "latent/batch" + + def frombatch(self, samples, batch_index, length): + s = samples.copy() + s_in = samples["samples"] + batch_index = min(s_in.shape[0] - 1, batch_index) + length = min(s_in.shape[0] - batch_index, length) + s["samples"] = s_in[batch_index:batch_index + length].clone() + if "noise_mask" in samples: + masks = samples["noise_mask"] + if masks.shape[0] == 1: + s["noise_mask"] = masks.clone() + else: + if masks.shape[0] < s_in.shape[0]: + masks = masks.repeat(math.ceil(s_in.shape[0] / masks.shape[0]), 1, 1, 1)[:s_in.shape[0]] + s["noise_mask"] = masks[batch_index:batch_index + length].clone() + if "batch_index" not in s: + s["batch_index"] = [x for x in range(batch_index, batch_index+length)] + else: + s["batch_index"] = samples["batch_index"][batch_index:batch_index + length] + return (s,) + +class RepeatLatentBatch: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "amount": ("INT", {"default": 1, "min": 1, "max": 64}), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "repeat" + + CATEGORY = "latent/batch" + + def repeat(self, samples, amount): + s = samples.copy() + s_in = samples["samples"] + + s["samples"] = s_in.repeat((amount,) + ((1,) * (s_in.ndim - 1))) + if "noise_mask" in samples and samples["noise_mask"].shape[0] > 1: + masks = samples["noise_mask"] + if masks.shape[0] < s_in.shape[0]: + masks = masks.repeat((math.ceil(s_in.shape[0] / masks.shape[0]),) + ((1,) * (masks.ndim - 1)))[:s_in.shape[0]] + s["noise_mask"] = samples["noise_mask"].repeat((amount,) + ((1,) * (samples["noise_mask"].ndim - 1))) + if "batch_index" in s: + offset = max(s["batch_index"]) - min(s["batch_index"]) + 1 + s["batch_index"] = s["batch_index"] + [x + (i * offset) for i in range(1, amount) for x in s["batch_index"]] + return (s,) + +class LatentUpscale: + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "bislerp"] + crop_methods = ["disabled", "center"] + + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), "upscale_method": (s.upscale_methods,), + "width": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "crop": (s.crop_methods,)}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "upscale" + + CATEGORY = "latent" + + def upscale(self, samples, upscale_method, width, height, crop): + if width == 0 and height == 0: + s = samples + else: + s = samples.copy() + + if width == 0: + height = max(64, height) + width = max(64, round(samples["samples"].shape[-1] * height / samples["samples"].shape[-2])) + elif height == 0: + width = max(64, width) + height = max(64, round(samples["samples"].shape[-2] * width / samples["samples"].shape[-1])) + else: + width = max(64, width) + height = max(64, height) + + s["samples"] = comfy.utils.common_upscale(samples["samples"], width // 8, height // 8, upscale_method, crop) + return (s,) + +class LatentUpscaleBy: + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "bislerp"] + + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), "upscale_method": (s.upscale_methods,), + "scale_by": ("FLOAT", {"default": 1.5, "min": 0.01, "max": 8.0, "step": 0.01}),}} + RETURN_TYPES = ("LATENT",) + FUNCTION = "upscale" + + CATEGORY = "latent" + + def upscale(self, samples, upscale_method, scale_by): + s = samples.copy() + width = round(samples["samples"].shape[-1] * scale_by) + height = round(samples["samples"].shape[-2] * scale_by) + s["samples"] = comfy.utils.common_upscale(samples["samples"], width, height, upscale_method, "disabled") + return (s,) + +class LatentRotate: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "rotation": (["none", "90 degrees", "180 degrees", "270 degrees"],), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "rotate" + + CATEGORY = "latent/transform" + + def rotate(self, samples, rotation): + s = samples.copy() + rotate_by = 0 + if rotation.startswith("90"): + rotate_by = 1 + elif rotation.startswith("180"): + rotate_by = 2 + elif rotation.startswith("270"): + rotate_by = 3 + + s["samples"] = torch.rot90(samples["samples"], k=rotate_by, dims=[3, 2]) + return (s,) + +class LatentFlip: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "flip_method": (["x-axis: vertically", "y-axis: horizontally"],), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "flip" + + CATEGORY = "latent/transform" + + def flip(self, samples, flip_method): + s = samples.copy() + if flip_method.startswith("x"): + s["samples"] = torch.flip(samples["samples"], dims=[2]) + elif flip_method.startswith("y"): + s["samples"] = torch.flip(samples["samples"], dims=[3]) + + return (s,) + +class LatentComposite: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples_to": ("LATENT",), + "samples_from": ("LATENT",), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "feather": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "composite" + + CATEGORY = "latent" + + def composite(self, samples_to, samples_from, x, y, composite_method="normal", feather=0): + x = x // 8 + y = y // 8 + feather = feather // 8 + samples_out = samples_to.copy() + s = samples_to["samples"].clone() + samples_to = samples_to["samples"] + samples_from = samples_from["samples"] + if feather == 0: + s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x] + else: + samples_from = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x] + mask = torch.ones_like(samples_from) + for t in range(feather): + if y != 0: + mask[:,:,t:1+t,:] *= ((1.0/feather) * (t + 1)) + + if y + samples_from.shape[2] < samples_to.shape[2]: + mask[:,:,mask.shape[2] -1 -t: mask.shape[2]-t,:] *= ((1.0/feather) * (t + 1)) + if x != 0: + mask[:,:,:,t:1+t] *= ((1.0/feather) * (t + 1)) + if x + samples_from.shape[3] < samples_to.shape[3]: + mask[:,:,:,mask.shape[3]- 1 - t: mask.shape[3]- t] *= ((1.0/feather) * (t + 1)) + rev_mask = torch.ones_like(mask) - mask + s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x] * mask + s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] * rev_mask + samples_out["samples"] = s + return (samples_out,) + +class LatentBlend: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "samples1": ("LATENT",), + "samples2": ("LATENT",), + "blend_factor": ("FLOAT", { + "default": 0.5, + "min": 0, + "max": 1, + "step": 0.01 + }), + }} + + RETURN_TYPES = ("LATENT",) + FUNCTION = "blend" + + CATEGORY = "_for_testing" + + def blend(self, samples1, samples2, blend_factor:float, blend_mode: str="normal"): + + samples_out = samples1.copy() + samples1 = samples1["samples"] + samples2 = samples2["samples"] + + if samples1.shape != samples2.shape: + samples2.permute(0, 3, 1, 2) + samples2 = comfy.utils.common_upscale(samples2, samples1.shape[3], samples1.shape[2], 'bicubic', crop='center') + samples2.permute(0, 2, 3, 1) + + samples_blended = self.blend_mode(samples1, samples2, blend_mode) + samples_blended = samples1 * blend_factor + samples_blended * (1 - blend_factor) + samples_out["samples"] = samples_blended + return (samples_out,) + + def blend_mode(self, img1, img2, mode): + if mode == "normal": + return img2 + else: + raise ValueError(f"Unsupported blend mode: {mode}") + +class LatentCrop: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "width": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}), + "height": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}), + "x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "crop" + + CATEGORY = "latent/transform" + + def crop(self, samples, width, height, x, y): + s = samples.copy() + samples = samples['samples'] + x = x // 8 + y = y // 8 + + #enfonce minimum size of 64 + if x > (samples.shape[3] - 8): + x = samples.shape[3] - 8 + if y > (samples.shape[2] - 8): + y = samples.shape[2] - 8 + + new_height = height // 8 + new_width = width // 8 + to_x = new_width + x + to_y = new_height + y + s['samples'] = samples[:,:,y:to_y, x:to_x] + return (s,) + +class SetLatentNoiseMask: + @classmethod + def INPUT_TYPES(s): + return {"required": { "samples": ("LATENT",), + "mask": ("MASK",), + }} + RETURN_TYPES = ("LATENT",) + FUNCTION = "set_mask" + + CATEGORY = "latent/inpaint" + + def set_mask(self, samples, mask): + s = samples.copy() + s["noise_mask"] = mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])) + return (s,) + +def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False): + latent_image = latent["samples"] + latent_image = comfy.sample.fix_empty_latent_channels(model, latent_image) + + if disable_noise: + noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device="cpu") + else: + batch_inds = latent["batch_index"] if "batch_index" in latent else None + noise = comfy.sample.prepare_noise(latent_image, seed, batch_inds) + + noise_mask = None + if "noise_mask" in latent: + noise_mask = latent["noise_mask"] + + callback = latent_preview.prepare_callback(model, steps) + disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED + samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, + denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step, + force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) + out = latent.copy() + out["samples"] = samples + return (out, ) + +class KSampler: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "model": ("MODEL", {"tooltip": "The model used for denoising the input latent."}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True, "tooltip": "The random seed used for creating the noise."}), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "The number of steps used in the denoising process."}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01, "tooltip": "The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality."}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, {"tooltip": "The algorithm used when sampling, this can affect the quality, speed, and style of the generated output."}), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"tooltip": "The scheduler controls how noise is gradually removed to form the image."}), + "positive": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to include in the image."}), + "negative": ("CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to exclude from the image."}), + "latent_image": ("LATENT", {"tooltip": "The latent image to denoise."}), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."}), + } + } + + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("The denoised latent.",) + FUNCTION = "sample" + + CATEGORY = "sampling" + DESCRIPTION = "Uses the provided model, positive and negative conditioning to denoise the latent image." + + def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): + return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + +class KSamplerAdvanced: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "add_noise": (["enable", "disable"], ), + "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True}), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.1, "round": 0.01}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, ), + "positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "latent_image": ("LATENT", ), + "start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}), + "end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}), + "return_with_leftover_noise": (["disable", "enable"], ), + } + } + + RETURN_TYPES = ("LATENT",) + FUNCTION = "sample" + + CATEGORY = "sampling" + + def sample(self, model, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, start_at_step, end_at_step, return_with_leftover_noise, denoise=1.0): + force_full_denoise = True + if return_with_leftover_noise == "enable": + force_full_denoise = False + disable_noise = False + if add_noise == "disable": + disable_noise = True + return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise) + +class SaveImage: + def __init__(self): + self.output_dir = folder_paths.get_output_directory() + self.type = "output" + self.prefix_append = "" + self.compress_level = 4 + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "images": ("IMAGE", {"tooltip": "The images to save."}), + "filename_prefix": ("STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."}) + }, + "hidden": { + "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO" + }, + } + + RETURN_TYPES = () + FUNCTION = "save_images" + + OUTPUT_NODE = True + + CATEGORY = "image" + DESCRIPTION = "Saves the input images to your ComfyUI output directory." + + def save_images(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None): + filename_prefix += self.prefix_append + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]) + results = list() + for (batch_number, image) in enumerate(images): + i = 255. * image.cpu().numpy() + img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)) + metadata = None + if not args.disable_metadata: + metadata = PngInfo() + if prompt is not None: + metadata.add_text("prompt", json.dumps(prompt)) + if extra_pnginfo is not None: + for x in extra_pnginfo: + metadata.add_text(x, json.dumps(extra_pnginfo[x])) + + filename_with_batch_num = filename.replace("%batch_num%", str(batch_number)) + file = f"{filename_with_batch_num}_{counter:05}_.png" + img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=self.compress_level) + results.append({ + "filename": file, + "subfolder": subfolder, + "type": self.type + }) + counter += 1 + + return { "ui": { "images": results } } + +class PreviewImage(SaveImage): + def __init__(self): + self.output_dir = folder_paths.get_temp_directory() + self.type = "temp" + self.prefix_append = "_temp_" + ''.join(random.choice("abcdefghijklmnopqrstupvxyz") for x in range(5)) + self.compress_level = 1 + + @classmethod + def INPUT_TYPES(s): + return {"required": + {"images": ("IMAGE", ), }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}, + } + +class LoadImage: + @classmethod + def INPUT_TYPES(s): + input_dir = folder_paths.get_input_directory() + files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))] + files = folder_paths.filter_files_content_types(files, ["image"]) + return {"required": + {"image": (sorted(files), {"image_upload": True})}, + } + + CATEGORY = "image" + + RETURN_TYPES = ("IMAGE", "MASK") + FUNCTION = "load_image" + def load_image(self, image): + image_path = folder_paths.get_annotated_filepath(image) + + img = node_helpers.pillow(Image.open, image_path) + + output_images = [] + output_masks = [] + w, h = None, None + + excluded_formats = ['MPO'] + + for i in ImageSequence.Iterator(img): + i = node_helpers.pillow(ImageOps.exif_transpose, i) + + if i.mode == 'I': + i = i.point(lambda i: i * (1 / 255)) + image = i.convert("RGB") + + if len(output_images) == 0: + w = image.size[0] + h = image.size[1] + + if image.size[0] != w or image.size[1] != h: + continue + + image = np.array(image).astype(np.float32) / 255.0 + image = torch.from_numpy(image)[None,] + if 'A' in i.getbands(): + mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0 + mask = 1. - torch.from_numpy(mask) + elif i.mode == 'P' and 'transparency' in i.info: + mask = np.array(i.convert('RGBA').getchannel('A')).astype(np.float32) / 255.0 + mask = 1. - torch.from_numpy(mask) + else: + mask = torch.zeros((64,64), dtype=torch.float32, device="cpu") + output_images.append(image) + output_masks.append(mask.unsqueeze(0)) + + if len(output_images) > 1 and img.format not in excluded_formats: + output_image = torch.cat(output_images, dim=0) + output_mask = torch.cat(output_masks, dim=0) + else: + output_image = output_images[0] + output_mask = output_masks[0] + + return (output_image, output_mask) + + @classmethod + def IS_CHANGED(s, image): + image_path = folder_paths.get_annotated_filepath(image) + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + return m.digest().hex() + + @classmethod + def VALIDATE_INPUTS(s, image): + if not folder_paths.exists_annotated_filepath(image): + return "Invalid image file: {}".format(image) + + return True + +class LoadImageMask: + _color_channels = ["alpha", "red", "green", "blue"] + @classmethod + def INPUT_TYPES(s): + input_dir = folder_paths.get_input_directory() + files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))] + return {"required": + {"image": (sorted(files), {"image_upload": True}), + "channel": (s._color_channels, ), } + } + + CATEGORY = "mask" + + RETURN_TYPES = ("MASK",) + FUNCTION = "load_image" + def load_image(self, image, channel): + image_path = folder_paths.get_annotated_filepath(image) + i = node_helpers.pillow(Image.open, image_path) + i = node_helpers.pillow(ImageOps.exif_transpose, i) + if i.getbands() != ("R", "G", "B", "A"): + if i.mode == 'I': + i = i.point(lambda i: i * (1 / 255)) + i = i.convert("RGBA") + mask = None + c = channel[0].upper() + if c in i.getbands(): + mask = np.array(i.getchannel(c)).astype(np.float32) / 255.0 + mask = torch.from_numpy(mask) + if c == 'A': + mask = 1. - mask + else: + mask = torch.zeros((64,64), dtype=torch.float32, device="cpu") + return (mask.unsqueeze(0),) + + @classmethod + def IS_CHANGED(s, image, channel): + image_path = folder_paths.get_annotated_filepath(image) + m = hashlib.sha256() + with open(image_path, 'rb') as f: + m.update(f.read()) + return m.digest().hex() + + @classmethod + def VALIDATE_INPUTS(s, image): + if not folder_paths.exists_annotated_filepath(image): + return "Invalid image file: {}".format(image) + + return True + + +class LoadImageOutput(LoadImage): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("COMBO", { + "image_upload": True, + "image_folder": "output", + "remote": { + "route": "/internal/files/output", + "refresh_button": True, + "control_after_refresh": "first", + }, + }), + } + } + + DESCRIPTION = "Load an image from the output folder. When the refresh button is clicked, the node will update the image list and automatically select the first image, allowing for easy iteration." + EXPERIMENTAL = True + FUNCTION = "load_image" + + +class ImageScale: + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"] + crop_methods = ["disabled", "center"] + + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,), + "width": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "crop": (s.crop_methods,)}} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + + CATEGORY = "image/upscaling" + + def upscale(self, image, upscale_method, width, height, crop): + if width == 0 and height == 0: + s = image + else: + samples = image.movedim(-1,1) + + if width == 0: + width = max(1, round(samples.shape[3] * height / samples.shape[2])) + elif height == 0: + height = max(1, round(samples.shape[2] * width / samples.shape[3])) + + s = comfy.utils.common_upscale(samples, width, height, upscale_method, crop) + s = s.movedim(1,-1) + return (s,) + +class ImageScaleBy: + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"] + + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,), + "scale_by": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 8.0, "step": 0.01}),}} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + + CATEGORY = "image/upscaling" + + def upscale(self, image, upscale_method, scale_by): + samples = image.movedim(-1,1) + width = round(samples.shape[3] * scale_by) + height = round(samples.shape[2] * scale_by) + s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled") + s = s.movedim(1,-1) + return (s,) + +class ImageInvert: + + @classmethod + def INPUT_TYPES(s): + return {"required": { "image": ("IMAGE",)}} + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "invert" + + CATEGORY = "image" + + def invert(self, image): + s = 1.0 - image + return (s,) + +class ImageBatch: + + @classmethod + def INPUT_TYPES(s): + return {"required": { "image1": ("IMAGE",), "image2": ("IMAGE",)}} + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "batch" + + CATEGORY = "image" + + def batch(self, image1, image2): + if image1.shape[1:] != image2.shape[1:]: + image2 = comfy.utils.common_upscale(image2.movedim(-1,1), image1.shape[2], image1.shape[1], "bilinear", "center").movedim(1,-1) + s = torch.cat((image1, image2), dim=0) + return (s,) + +class EmptyImage: + def __init__(self, device="cpu"): + self.device = device + + @classmethod + def INPUT_TYPES(s): + return {"required": { "width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + "height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}), + "color": ("INT", {"default": 0, "min": 0, "max": 0xFFFFFF, "step": 1, "display": "color"}), + }} + RETURN_TYPES = ("IMAGE",) + FUNCTION = "generate" + + CATEGORY = "image" + + def generate(self, width, height, batch_size=1, color=0): + r = torch.full([batch_size, height, width, 1], ((color >> 16) & 0xFF) / 0xFF) + g = torch.full([batch_size, height, width, 1], ((color >> 8) & 0xFF) / 0xFF) + b = torch.full([batch_size, height, width, 1], ((color) & 0xFF) / 0xFF) + return (torch.cat((r, g, b), dim=-1), ) + +class ImagePadForOutpaint: + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "left": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "top": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "right": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "bottom": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 8}), + "feathering": ("INT", {"default": 40, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + } + } + + RETURN_TYPES = ("IMAGE", "MASK") + FUNCTION = "expand_image" + + CATEGORY = "image" + + def expand_image(self, image, left, top, right, bottom, feathering): + d1, d2, d3, d4 = image.size() + + new_image = torch.ones( + (d1, d2 + top + bottom, d3 + left + right, d4), + dtype=torch.float32, + ) * 0.5 + + new_image[:, top:top + d2, left:left + d3, :] = image + + mask = torch.ones( + (d2 + top + bottom, d3 + left + right), + dtype=torch.float32, + ) + + t = torch.zeros( + (d2, d3), + dtype=torch.float32 + ) + + if feathering > 0 and feathering * 2 < d2 and feathering * 2 < d3: + + for i in range(d2): + for j in range(d3): + dt = i if top != 0 else d2 + db = d2 - i if bottom != 0 else d2 + + dl = j if left != 0 else d3 + dr = d3 - j if right != 0 else d3 + + d = min(dt, db, dl, dr) + + if d >= feathering: + continue + + v = (feathering - d) / feathering + + t[i, j] = v * v + + mask[top:top + d2, left:left + d3] = t + + return (new_image, mask.unsqueeze(0)) + + +NODE_CLASS_MAPPINGS = { + "KSampler": KSampler, + "CheckpointLoaderSimple": CheckpointLoaderSimple, + "CLIPTextEncode": CLIPTextEncode, + "CLIPSetLastLayer": CLIPSetLastLayer, + "VAEDecode": VAEDecode, + "VAEEncode": VAEEncode, + "VAEEncodeForInpaint": VAEEncodeForInpaint, + "VAELoader": VAELoader, + "EmptyLatentImage": EmptyLatentImage, + "LatentUpscale": LatentUpscale, + "LatentUpscaleBy": LatentUpscaleBy, + "LatentFromBatch": LatentFromBatch, + "RepeatLatentBatch": RepeatLatentBatch, + "SaveImage": SaveImage, + "PreviewImage": PreviewImage, + "LoadImage": LoadImage, + "LoadImageMask": LoadImageMask, + "LoadImageOutput": LoadImageOutput, + "ImageScale": ImageScale, + "ImageScaleBy": ImageScaleBy, + "ImageInvert": ImageInvert, + "ImageBatch": ImageBatch, + "ImagePadForOutpaint": ImagePadForOutpaint, + "EmptyImage": EmptyImage, + "ConditioningAverage": ConditioningAverage , + "ConditioningCombine": ConditioningCombine, + "ConditioningConcat": ConditioningConcat, + "ConditioningSetArea": ConditioningSetArea, + "ConditioningSetAreaPercentage": ConditioningSetAreaPercentage, + "ConditioningSetAreaStrength": ConditioningSetAreaStrength, + "ConditioningSetMask": ConditioningSetMask, + "KSamplerAdvanced": KSamplerAdvanced, + "SetLatentNoiseMask": SetLatentNoiseMask, + "LatentComposite": LatentComposite, + "LatentBlend": LatentBlend, + "LatentRotate": LatentRotate, + "LatentFlip": LatentFlip, + "LatentCrop": LatentCrop, + "LoraLoader": LoraLoader, + "CLIPLoader": CLIPLoader, + "UNETLoader": UNETLoader, + "DualCLIPLoader": DualCLIPLoader, + "CLIPVisionEncode": CLIPVisionEncode, + "StyleModelApply": StyleModelApply, + "unCLIPConditioning": unCLIPConditioning, + "ControlNetApply": ControlNetApply, + "ControlNetApplyAdvanced": ControlNetApplyAdvanced, + "ControlNetLoader": ControlNetLoader, + "DiffControlNetLoader": DiffControlNetLoader, + "StyleModelLoader": StyleModelLoader, + "CLIPVisionLoader": CLIPVisionLoader, + "VAEDecodeTiled": VAEDecodeTiled, + "VAEEncodeTiled": VAEEncodeTiled, + "unCLIPCheckpointLoader": unCLIPCheckpointLoader, + "GLIGENLoader": GLIGENLoader, + "GLIGENTextBoxApply": GLIGENTextBoxApply, + "InpaintModelConditioning": InpaintModelConditioning, + + "CheckpointLoader": CheckpointLoader, + "DiffusersLoader": DiffusersLoader, + + "LoadLatent": LoadLatent, + "SaveLatent": SaveLatent, + + "ConditioningZeroOut": ConditioningZeroOut, + "ConditioningSetTimestepRange": ConditioningSetTimestepRange, + "LoraLoaderModelOnly": LoraLoaderModelOnly, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + # Sampling + "KSampler": "KSampler", + "KSamplerAdvanced": "KSampler (Advanced)", + # Loaders + "CheckpointLoader": "Load Checkpoint With Config (DEPRECATED)", + "CheckpointLoaderSimple": "Load Checkpoint", + "VAELoader": "Load VAE", + "LoraLoader": "Load LoRA", + "CLIPLoader": "Load CLIP", + "ControlNetLoader": "Load ControlNet Model", + "DiffControlNetLoader": "Load ControlNet Model (diff)", + "StyleModelLoader": "Load Style Model", + "CLIPVisionLoader": "Load CLIP Vision", + "UpscaleModelLoader": "Load Upscale Model", + "UNETLoader": "Load Diffusion Model", + # Conditioning + "CLIPVisionEncode": "CLIP Vision Encode", + "StyleModelApply": "Apply Style Model", + "CLIPTextEncode": "CLIP Text Encode (Prompt)", + "CLIPSetLastLayer": "CLIP Set Last Layer", + "ConditioningCombine": "Conditioning (Combine)", + "ConditioningAverage ": "Conditioning (Average)", + "ConditioningConcat": "Conditioning (Concat)", + "ConditioningSetArea": "Conditioning (Set Area)", + "ConditioningSetAreaPercentage": "Conditioning (Set Area with Percentage)", + "ConditioningSetMask": "Conditioning (Set Mask)", + "ControlNetApply": "Apply ControlNet (OLD)", + "ControlNetApplyAdvanced": "Apply ControlNet", + # Latent + "VAEEncodeForInpaint": "VAE Encode (for Inpainting)", + "SetLatentNoiseMask": "Set Latent Noise Mask", + "VAEDecode": "VAE Decode", + "VAEEncode": "VAE Encode", + "LatentRotate": "Rotate Latent", + "LatentFlip": "Flip Latent", + "LatentCrop": "Crop Latent", + "EmptyLatentImage": "Empty Latent Image", + "LatentUpscale": "Upscale Latent", + "LatentUpscaleBy": "Upscale Latent By", + "LatentComposite": "Latent Composite", + "LatentBlend": "Latent Blend", + "LatentFromBatch" : "Latent From Batch", + "RepeatLatentBatch": "Repeat Latent Batch", + # Image + "SaveImage": "Save Image", + "PreviewImage": "Preview Image", + "LoadImage": "Load Image", + "LoadImageMask": "Load Image (as Mask)", + "LoadImageOutput": "Load Image (from Outputs)", + "ImageScale": "Upscale Image", + "ImageScaleBy": "Upscale Image By", + "ImageUpscaleWithModel": "Upscale Image (using Model)", + "ImageInvert": "Invert Image", + "ImagePadForOutpaint": "Pad Image for Outpainting", + "ImageBatch": "Batch Images", + "ImageCrop": "Image Crop", + "ImageStitch": "Image Stitch", + "ImageBlend": "Image Blend", + "ImageBlur": "Image Blur", + "ImageQuantize": "Image Quantize", + "ImageSharpen": "Image Sharpen", + "ImageScaleToTotalPixels": "Scale Image to Total Pixels", + "GetImageSize": "Get Image Size", + # _for_testing + "VAEDecodeTiled": "VAE Decode (Tiled)", + "VAEEncodeTiled": "VAE Encode (Tiled)", +} + +EXTENSION_WEB_DIRS = {} + +# Dictionary of successfully loaded module names and associated directories. +LOADED_MODULE_DIRS = {} + + +def get_module_name(module_path: str) -> str: + """ + Returns the module name based on the given module path. + Examples: + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node.py") -> "my_custom_node" + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node") -> "my_custom_node" + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/") -> "my_custom_node" + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/__init__.py") -> "my_custom_node" + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/__init__") -> "my_custom_node" + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node/__init__/") -> "my_custom_node" + get_module_name("C:/Users/username/ComfyUI/custom_nodes/my_custom_node.disabled") -> "custom_nodes + Args: + module_path (str): The path of the module. + Returns: + str: The module name. + """ + base_path = os.path.basename(module_path) + if os.path.isfile(module_path): + base_path = os.path.splitext(base_path)[0] + return base_path + + +async def load_custom_node(module_path: str, ignore=set(), module_parent="custom_nodes") -> bool: + module_name = get_module_name(module_path) + if os.path.isfile(module_path): + sp = os.path.splitext(module_path) + module_name = sp[0] + sys_module_name = module_name + elif os.path.isdir(module_path): + sys_module_name = module_path.replace(".", "_x_") + + try: + logging.debug("Trying to load custom node {}".format(module_path)) + if os.path.isfile(module_path): + module_spec = importlib.util.spec_from_file_location(sys_module_name, module_path) + module_dir = os.path.split(module_path)[0] + else: + module_spec = importlib.util.spec_from_file_location(sys_module_name, os.path.join(module_path, "__init__.py")) + module_dir = module_path + + module = importlib.util.module_from_spec(module_spec) + sys.modules[sys_module_name] = module + module_spec.loader.exec_module(module) + + LOADED_MODULE_DIRS[module_name] = os.path.abspath(module_dir) + + try: + from comfy_config import config_parser + + project_config = config_parser.extract_node_configuration(module_path) + + web_dir_name = project_config.tool_comfy.web + + if web_dir_name: + web_dir_path = os.path.join(module_path, web_dir_name) + + if os.path.isdir(web_dir_path): + project_name = project_config.project.name + + EXTENSION_WEB_DIRS[project_name] = web_dir_path + + logging.info("Automatically register web folder {} for {}".format(web_dir_name, project_name)) + except Exception as e: + logging.warning(f"Unable to parse pyproject.toml due to lack dependency pydantic-settings, please run 'pip install -r requirements.txt': {e}") + + if hasattr(module, "WEB_DIRECTORY") and getattr(module, "WEB_DIRECTORY") is not None: + web_dir = os.path.abspath(os.path.join(module_dir, getattr(module, "WEB_DIRECTORY"))) + if os.path.isdir(web_dir): + EXTENSION_WEB_DIRS[module_name] = web_dir + + # V1 node definition + if hasattr(module, "NODE_CLASS_MAPPINGS") and getattr(module, "NODE_CLASS_MAPPINGS") is not None: + for name, node_cls in module.NODE_CLASS_MAPPINGS.items(): + if name not in ignore: + NODE_CLASS_MAPPINGS[name] = node_cls + node_cls.RELATIVE_PYTHON_MODULE = "{}.{}".format(module_parent, get_module_name(module_path)) + if hasattr(module, "NODE_DISPLAY_NAME_MAPPINGS") and getattr(module, "NODE_DISPLAY_NAME_MAPPINGS") is not None: + NODE_DISPLAY_NAME_MAPPINGS.update(module.NODE_DISPLAY_NAME_MAPPINGS) + return True + # V3 Extension Definition + elif hasattr(module, "comfy_entrypoint"): + entrypoint = getattr(module, "comfy_entrypoint") + if not callable(entrypoint): + logging.warning(f"comfy_entrypoint in {module_path} is not callable, skipping.") + return False + try: + if inspect.iscoroutinefunction(entrypoint): + extension = await entrypoint() + else: + extension = entrypoint() + if not isinstance(extension, ComfyExtension): + logging.warning(f"comfy_entrypoint in {module_path} did not return a ComfyExtension, skipping.") + return False + node_list = await extension.get_node_list() + if not isinstance(node_list, list): + logging.warning(f"comfy_entrypoint in {module_path} did not return a list of nodes, skipping.") + return False + for node_cls in node_list: + node_cls: io.ComfyNode + schema = node_cls.GET_SCHEMA() + if schema.node_id not in ignore: + NODE_CLASS_MAPPINGS[schema.node_id] = node_cls + node_cls.RELATIVE_PYTHON_MODULE = "{}.{}".format(module_parent, get_module_name(module_path)) + if schema.display_name is not None: + NODE_DISPLAY_NAME_MAPPINGS[schema.node_id] = schema.display_name + return True + except Exception as e: + logging.warning(f"Error while calling comfy_entrypoint in {module_path}: {e}") + return False + else: + logging.warning(f"Skip {module_path} module for custom nodes due to the lack of NODE_CLASS_MAPPINGS or NODES_LIST (need one).") + return False + except Exception as e: + logging.warning(traceback.format_exc()) + logging.warning(f"Cannot import {module_path} module for custom nodes: {e}") + return False + +async def init_external_custom_nodes(): + """ + Initializes the external custom nodes. + + This function loads custom nodes from the specified folder paths and imports them into the application. + It measures the import times for each custom node and logs the results. + + Returns: + None + """ + base_node_names = set(NODE_CLASS_MAPPINGS.keys()) + node_paths = folder_paths.get_folder_paths("custom_nodes") + node_import_times = [] + for custom_node_path in node_paths: + possible_modules = os.listdir(os.path.realpath(custom_node_path)) + if "__pycache__" in possible_modules: + possible_modules.remove("__pycache__") + + for possible_module in possible_modules: + module_path = os.path.join(custom_node_path, possible_module) + if os.path.isfile(module_path) and os.path.splitext(module_path)[1] != ".py": continue + if module_path.endswith(".disabled"): continue + if args.disable_all_custom_nodes and possible_module not in args.whitelist_custom_nodes: + logging.info(f"Skipping {possible_module} due to disable_all_custom_nodes and whitelist_custom_nodes") + continue + time_before = time.perf_counter() + success = await load_custom_node(module_path, base_node_names, module_parent="custom_nodes") + node_import_times.append((time.perf_counter() - time_before, module_path, success)) + + if len(node_import_times) > 0: + logging.info("\nImport times for custom nodes:") + for n in sorted(node_import_times): + if n[2]: + import_message = "" + else: + import_message = " (IMPORT FAILED)" + logging.info("{:6.1f} seconds{}: {}".format(n[0], import_message, n[1])) + logging.info("") + +async def init_builtin_extra_nodes(): + """ + Initializes the built-in extra nodes in ComfyUI. + + This function loads the extra node files located in the "comfy_extras" directory and imports them into ComfyUI. + If any of the extra node files fail to import, a warning message is logged. + + Returns: + None + """ + extras_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy_extras") + extras_files = [ + "nodes_latent.py", + "nodes_hypernetwork.py", + "nodes_upscale_model.py", + "nodes_post_processing.py", + "nodes_mask.py", + "nodes_compositing.py", + "nodes_rebatch.py", + "nodes_model_merging.py", + "nodes_tomesd.py", + "nodes_clip_sdxl.py", + "nodes_canny.py", + "nodes_freelunch.py", + "nodes_custom_sampler.py", + "nodes_hypertile.py", + "nodes_model_advanced.py", + "nodes_model_downscale.py", + "nodes_images.py", + "nodes_video_model.py", + "nodes_train.py", + "nodes_sag.py", + "nodes_perpneg.py", + "nodes_stable3d.py", + "nodes_sdupscale.py", + "nodes_photomaker.py", + "nodes_pixart.py", + "nodes_cond.py", + "nodes_morphology.py", + "nodes_stable_cascade.py", + "nodes_differential_diffusion.py", + "nodes_ip2p.py", + "nodes_model_merging_model_specific.py", + "nodes_pag.py", + "nodes_align_your_steps.py", + "nodes_attention_multiply.py", + "nodes_advanced_samplers.py", + "nodes_webcam.py", + "nodes_audio.py", + "nodes_sd3.py", + "nodes_gits.py", + "nodes_controlnet.py", + "nodes_hunyuan.py", + "nodes_flux.py", + "nodes_lora_extract.py", + "nodes_torch_compile.py", + "nodes_mochi.py", + "nodes_slg.py", + "nodes_mahiro.py", + "nodes_lt.py", + "nodes_hooks.py", + "nodes_load_3d.py", + "nodes_cosmos.py", + "nodes_video.py", + "nodes_lumina2.py", + "nodes_wan.py", + "nodes_lotus.py", + "nodes_hunyuan3d.py", + "nodes_primitive.py", + "nodes_cfg.py", + "nodes_optimalsteps.py", + "nodes_hidream.py", + "nodes_fresca.py", + "nodes_apg.py", + "nodes_preview_any.py", + "nodes_ace.py", + "nodes_string.py", + "nodes_camera_trajectory.py", + "nodes_edit_model.py", + "nodes_tcfg.py", + "nodes_context_windows.py", + "nodes_qwen.py", + "nodes_chroma_radiance.py", + "nodes_model_patch.py", + "nodes_easycache.py", + "nodes_audio_encoder.py", + ] + + import_failed = [] + for node_file in extras_files: + if not await load_custom_node(os.path.join(extras_dir, node_file), module_parent="comfy_extras"): + import_failed.append(node_file) + + return import_failed + + +async def init_builtin_api_nodes(): + api_nodes_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy_api_nodes") + api_nodes_files = [ + "nodes_ideogram.py", + "nodes_openai.py", + "nodes_minimax.py", + "nodes_veo2.py", + "nodes_kling.py", + "nodes_bfl.py", + "nodes_bytedance.py", + "nodes_luma.py", + "nodes_recraft.py", + "nodes_pixverse.py", + "nodes_stability.py", + "nodes_pika.py", + "nodes_runway.py", + "nodes_tripo.py", + "nodes_moonvalley.py", + "nodes_rodin.py", + "nodes_gemini.py", + "nodes_vidu.py", + ] + + if not await load_custom_node(os.path.join(api_nodes_dir, "canary.py"), module_parent="comfy_api_nodes"): + return api_nodes_files + + import_failed = [] + for node_file in api_nodes_files: + if not await load_custom_node(os.path.join(api_nodes_dir, node_file), module_parent="comfy_api_nodes"): + import_failed.append(node_file) + + return import_failed + +async def init_public_apis(): + register_versions([ + ComfyAPIWithVersion( + version=getattr(v, "VERSION"), + api_class=v + ) for v in supported_versions + ]) + +async def init_extra_nodes(init_custom_nodes=True, init_api_nodes=True): + await init_public_apis() + + import_failed = await init_builtin_extra_nodes() + + import_failed_api = [] + if init_api_nodes: + import_failed_api = await init_builtin_api_nodes() + + if init_custom_nodes: + await init_external_custom_nodes() + else: + logging.info("Skipping loading of custom nodes") + + if len(import_failed_api) > 0: + logging.warning("WARNING: some comfy_api_nodes/ nodes did not import correctly. This may be because they are missing some dependencies.\n") + for node in import_failed_api: + logging.warning("IMPORT FAILED: {}".format(node)) + logging.warning("\nThis issue might be caused by new missing dependencies added the last time you updated ComfyUI.") + if args.windows_standalone_build: + logging.warning("Please run the update script: update/update_comfyui.bat") + else: + logging.warning("Please do a: pip install -r requirements.txt") + logging.warning("") + + if len(import_failed) > 0: + logging.warning("WARNING: some comfy_extras/ nodes did not import correctly. This may be because they are missing some dependencies.\n") + for node in import_failed: + logging.warning("IMPORT FAILED: {}".format(node)) + logging.warning("\nThis issue might be caused by new missing dependencies added the last time you updated ComfyUI.") + if args.windows_standalone_build: + logging.warning("Please run the update script: update/update_comfyui.bat") + else: + logging.warning("Please do a: pip install -r requirements.txt") + logging.warning("") + + return import_failed diff --git a/protocol.py b/protocol.py new file mode 100644 index 0000000000000000000000000000000000000000..038a0a840d4efba202b54eabeeacc01f0eba0ed3 --- /dev/null +++ b/protocol.py @@ -0,0 +1,7 @@ + +class BinaryEventTypes: + PREVIEW_IMAGE = 1 + UNENCODED_PREVIEW_IMAGE = 2 + TEXT = 3 + PREVIEW_IMAGE_WITH_METADATA = 4 + diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..a7fc1a5a67583998f13b31b2faa7dfa918989fb5 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "ComfyUI" +version = "0.3.59" +readme = "README.md" +license = { file = "LICENSE" } +requires-python = ">=3.9" + +[project.urls] +homepage = "https://www.comfy.org/" +repository = "https://github.com/comfyanonymous/ComfyUI" +documentation = "https://docs.comfy.org/" + +[tool.ruff] +lint.select = [ + "N805", # invalid-first-argument-name-for-method + "S307", # suspicious-eval-usage + "S102", # exec + "T", # print-usage + "W", + # The "F" series in Ruff stands for "Pyflakes" rules, which catch various Python syntax errors and undefined names. + # See all rules here: https://docs.astral.sh/ruff/rules/#pyflakes-f + "F", +] +exclude = ["*.ipynb", "**/generated/*.pyi"] diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 0000000000000000000000000000000000000000..a224d8cbb5511cf6be0c0cf75ae92268339e11d6 --- /dev/null +++ b/pytest.ini @@ -0,0 +1,9 @@ +[pytest] +markers = + inference: mark as inference test (deselect with '-m "not inference"') + execution: mark as execution test (deselect with '-m "not execution"') +testpaths = + tests + tests-unit +addopts = -s +pythonpath = . diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..094aca71b2aa1cbd301420679bb27cb13837c2a3 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,43 @@ +comfyui-frontend-package==1.26.11 +comfyui-workflow-templates==0.1.81 +comfyui-embedded-docs==0.2.6 +torch +torchsde +torchvision +torchaudio +numpy>=1.25.0 +einops +transformers>=4.37.2 +tokenizers>=0.13.3 +sentencepiece +safetensors>=0.4.2 +aiohttp>=3.11.8 +yarl>=1.18.0 +pyyaml +Pillow +scipy +tqdm +psutil +alembic +SQLAlchemy +av>=14.2.0 + +#non essential dependencies: +kornia>=0.7.1 +spandrel +soundfile +pydantic~=2.0 +pydantic-settings~=2.0 + +albumentations>=1.4.16 +insightface==0.7.3 +onnx>=1.14.0 +opencv-python>=4.7.0.72 +numpy==1.26.3 +segment_anything +ultralytics + +gradio>=3.44.0 +gradio-client + +onnxruntime-gpu diff --git a/script_examples/basic_api_example.py b/script_examples/basic_api_example.py new file mode 100644 index 0000000000000000000000000000000000000000..7e20cc2c18795c79559c9d3f52355d4cad93c70e --- /dev/null +++ b/script_examples/basic_api_example.py @@ -0,0 +1,123 @@ +import json +from urllib import request + +#This is the ComfyUI api prompt format. + +#If you want it for a specific workflow you can "File -> Export (API)" in the interface. + +#this is the one for the default workflow +prompt_text = """ +{ + "3": { + "class_type": "KSampler", + "inputs": { + "cfg": 8, + "denoise": 1, + "latent_image": [ + "5", + 0 + ], + "model": [ + "4", + 0 + ], + "negative": [ + "7", + 0 + ], + "positive": [ + "6", + 0 + ], + "sampler_name": "euler", + "scheduler": "normal", + "seed": 8566257, + "steps": 20 + } + }, + "4": { + "class_type": "CheckpointLoaderSimple", + "inputs": { + "ckpt_name": "v1-5-pruned-emaonly.safetensors" + } + }, + "5": { + "class_type": "EmptyLatentImage", + "inputs": { + "batch_size": 1, + "height": 512, + "width": 512 + } + }, + "6": { + "class_type": "CLIPTextEncode", + "inputs": { + "clip": [ + "4", + 1 + ], + "text": "masterpiece best quality girl" + } + }, + "7": { + "class_type": "CLIPTextEncode", + "inputs": { + "clip": [ + "4", + 1 + ], + "text": "bad hands" + } + }, + "8": { + "class_type": "VAEDecode", + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + } + }, + "9": { + "class_type": "SaveImage", + "inputs": { + "filename_prefix": "ComfyUI", + "images": [ + "8", + 0 + ] + } + } +} +""" + +def queue_prompt(prompt): + p = {"prompt": prompt} + + # If the workflow contains API nodes, you can add a Comfy API key to the `extra_data`` field of the payload. + # p["extra_data"] = { + # "api_key_comfy_org": "comfyui-87d01e28d*******************************************************" # replace with real key + # } + # See: https://docs.comfy.org/tutorials/api-nodes/overview + # Generate a key here: https://platform.comfy.org/login + + data = json.dumps(p).encode('utf-8') + req = request.Request("http://127.0.0.1:8188/prompt", data=data) + request.urlopen(req) + + +prompt = json.loads(prompt_text) +#set the text prompt for our positive CLIPTextEncode +prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + +#set the seed for our KSampler node +prompt["3"]["inputs"]["seed"] = 5 + + +queue_prompt(prompt) + + diff --git a/script_examples/websockets_api_example.py b/script_examples/websockets_api_example.py new file mode 100644 index 0000000000000000000000000000000000000000..58f26cfb696c5012a36af56e91d339b480359bb5 --- /dev/null +++ b/script_examples/websockets_api_example.py @@ -0,0 +1,167 @@ +#This is an example that uses the websockets api to know when a prompt execution is done +#Once the prompt execution is done it downloads the images using the /history endpoint + +import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client) +import uuid +import json +import urllib.request +import urllib.parse + +server_address = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + +def queue_prompt(prompt, prompt_id): + p = {"prompt": prompt, "client_id": client_id, "prompt_id": prompt_id} + data = json.dumps(p).encode('utf-8') + req = urllib.request.Request("http://{}/prompt".format(server_address), data=data) + urllib.request.urlopen(req).read() + +def get_image(filename, subfolder, folder_type): + data = {"filename": filename, "subfolder": subfolder, "type": folder_type} + url_values = urllib.parse.urlencode(data) + with urllib.request.urlopen("http://{}/view?{}".format(server_address, url_values)) as response: + return response.read() + +def get_history(prompt_id): + with urllib.request.urlopen("http://{}/history/{}".format(server_address, prompt_id)) as response: + return json.loads(response.read()) + +def get_images(ws, prompt): + prompt_id = str(uuid.uuid4()) + queue_prompt(prompt, prompt_id) + output_images = {} + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message['type'] == 'executing': + data = message['data'] + if data['node'] is None and data['prompt_id'] == prompt_id: + break #Execution is done + else: + # If you want to be able to decode the binary stream for latent previews, here is how you can do it: + # bytesIO = BytesIO(out[8:]) + # preview_image = Image.open(bytesIO) # This is your preview in PIL image format, store it in a global + continue #previews are binary data + + history = get_history(prompt_id)[prompt_id] + for node_id in history['outputs']: + node_output = history['outputs'][node_id] + images_output = [] + if 'images' in node_output: + for image in node_output['images']: + image_data = get_image(image['filename'], image['subfolder'], image['type']) + images_output.append(image_data) + output_images[node_id] = images_output + + return output_images + +prompt_text = """ +{ + "3": { + "class_type": "KSampler", + "inputs": { + "cfg": 8, + "denoise": 1, + "latent_image": [ + "5", + 0 + ], + "model": [ + "4", + 0 + ], + "negative": [ + "7", + 0 + ], + "positive": [ + "6", + 0 + ], + "sampler_name": "euler", + "scheduler": "normal", + "seed": 8566257, + "steps": 20 + } + }, + "4": { + "class_type": "CheckpointLoaderSimple", + "inputs": { + "ckpt_name": "v1-5-pruned-emaonly.safetensors" + } + }, + "5": { + "class_type": "EmptyLatentImage", + "inputs": { + "batch_size": 1, + "height": 512, + "width": 512 + } + }, + "6": { + "class_type": "CLIPTextEncode", + "inputs": { + "clip": [ + "4", + 1 + ], + "text": "masterpiece best quality girl" + } + }, + "7": { + "class_type": "CLIPTextEncode", + "inputs": { + "clip": [ + "4", + 1 + ], + "text": "bad hands" + } + }, + "8": { + "class_type": "VAEDecode", + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + } + }, + "9": { + "class_type": "SaveImage", + "inputs": { + "filename_prefix": "ComfyUI", + "images": [ + "8", + 0 + ] + } + } +} +""" + +prompt = json.loads(prompt_text) +#set the text prompt for our positive CLIPTextEncode +prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + +#set the seed for our KSampler node +prompt["3"]["inputs"]["seed"] = 5 + +ws = websocket.WebSocket() +ws.connect("ws://{}/ws?clientId={}".format(server_address, client_id)) +images = get_images(ws, prompt) +ws.close() # for in case this example is used in an environment where it will be repeatedly called, like in a Gradio app. otherwise, you'll randomly receive connection timeouts +#Commented out code to display the output images: + +# for node_id in images: +# for image_data in images[node_id]: +# from PIL import Image +# import io +# image = Image.open(io.BytesIO(image_data)) +# image.show() + diff --git a/script_examples/websockets_api_example_ws_images.py b/script_examples/websockets_api_example_ws_images.py new file mode 100644 index 0000000000000000000000000000000000000000..6508ecc99e732f75c2489e3cddb42229de2d356a --- /dev/null +++ b/script_examples/websockets_api_example_ws_images.py @@ -0,0 +1,159 @@ +#This is an example that uses the websockets api and the SaveImageWebsocket node to get images directly without +#them being saved to disk + +import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client) +import uuid +import json +import urllib.request +import urllib.parse + +server_address = "127.0.0.1:8188" +client_id = str(uuid.uuid4()) + +def queue_prompt(prompt): + p = {"prompt": prompt, "client_id": client_id} + data = json.dumps(p).encode('utf-8') + req = urllib.request.Request("http://{}/prompt".format(server_address), data=data) + return json.loads(urllib.request.urlopen(req).read()) + +def get_image(filename, subfolder, folder_type): + data = {"filename": filename, "subfolder": subfolder, "type": folder_type} + url_values = urllib.parse.urlencode(data) + with urllib.request.urlopen("http://{}/view?{}".format(server_address, url_values)) as response: + return response.read() + +def get_history(prompt_id): + with urllib.request.urlopen("http://{}/history/{}".format(server_address, prompt_id)) as response: + return json.loads(response.read()) + +def get_images(ws, prompt): + prompt_id = queue_prompt(prompt)['prompt_id'] + output_images = {} + current_node = "" + while True: + out = ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message['type'] == 'executing': + data = message['data'] + if data['prompt_id'] == prompt_id: + if data['node'] is None: + break #Execution is done + else: + current_node = data['node'] + else: + if current_node == 'save_image_websocket_node': + images_output = output_images.get(current_node, []) + images_output.append(out[8:]) + output_images[current_node] = images_output + + return output_images + +prompt_text = """ +{ + "3": { + "class_type": "KSampler", + "inputs": { + "cfg": 8, + "denoise": 1, + "latent_image": [ + "5", + 0 + ], + "model": [ + "4", + 0 + ], + "negative": [ + "7", + 0 + ], + "positive": [ + "6", + 0 + ], + "sampler_name": "euler", + "scheduler": "normal", + "seed": 8566257, + "steps": 20 + } + }, + "4": { + "class_type": "CheckpointLoaderSimple", + "inputs": { + "ckpt_name": "v1-5-pruned-emaonly.safetensors" + } + }, + "5": { + "class_type": "EmptyLatentImage", + "inputs": { + "batch_size": 1, + "height": 512, + "width": 512 + } + }, + "6": { + "class_type": "CLIPTextEncode", + "inputs": { + "clip": [ + "4", + 1 + ], + "text": "masterpiece best quality girl" + } + }, + "7": { + "class_type": "CLIPTextEncode", + "inputs": { + "clip": [ + "4", + 1 + ], + "text": "bad hands" + } + }, + "8": { + "class_type": "VAEDecode", + "inputs": { + "samples": [ + "3", + 0 + ], + "vae": [ + "4", + 2 + ] + } + }, + "save_image_websocket_node": { + "class_type": "SaveImageWebsocket", + "inputs": { + "images": [ + "8", + 0 + ] + } + } +} +""" + +prompt = json.loads(prompt_text) +#set the text prompt for our positive CLIPTextEncode +prompt["6"]["inputs"]["text"] = "masterpiece best quality man" + +#set the seed for our KSampler node +prompt["3"]["inputs"]["seed"] = 5 + +ws = websocket.WebSocket() +ws.connect("ws://{}/ws?clientId={}".format(server_address, client_id)) +images = get_images(ws, prompt) +ws.close() # for in case this example is used in an environment where it will be repeatedly called, like in a Gradio app. otherwise, you'll randomly receive connection timeouts +#Commented out code to display the output images: + +# for node_id in images: +# for image_data in images[node_id]: +# from PIL import Image +# import io +# image = Image.open(io.BytesIO(image_data)) +# image.show() + diff --git a/server.py b/server.py new file mode 100644 index 0000000000000000000000000000000000000000..43816a8cd8b1b3e8fa2b7c34c78dd8d67c2bf00b --- /dev/null +++ b/server.py @@ -0,0 +1,1007 @@ +import os +import sys +import asyncio +import traceback + +import nodes +import folder_paths +import execution +import uuid +import urllib +import json +import glob +import struct +import ssl +import socket +import ipaddress +from PIL import Image, ImageOps +from PIL.PngImagePlugin import PngInfo +from io import BytesIO + +import aiohttp +from aiohttp import web +import logging + +import mimetypes +from comfy.cli_args import args +import comfy.utils +import comfy.model_management +from comfy_api import feature_flags +import node_helpers +from comfyui_version import __version__ +from app.frontend_management import FrontendManager +from comfy_api.internal import _ComfyNodeInternal + +from app.user_manager import UserManager +from app.model_manager import ModelFileManager +from app.custom_node_manager import CustomNodeManager +from typing import Optional, Union +from api_server.routes.internal.internal_routes import InternalRoutes +from protocol import BinaryEventTypes + +# Import cache control middleware +from middleware.cache_middleware import cache_control + +async def send_socket_catch_exception(function, message): + try: + await function(message) + except (aiohttp.ClientError, aiohttp.ClientPayloadError, ConnectionResetError, BrokenPipeError, ConnectionError) as err: + logging.warning("send error: {}".format(err)) + +@web.middleware +async def compress_body(request: web.Request, handler): + accept_encoding = request.headers.get("Accept-Encoding", "") + response: web.Response = await handler(request) + if not isinstance(response, web.Response): + return response + if response.content_type not in ["application/json", "text/plain"]: + return response + if response.body and "gzip" in accept_encoding: + response.enable_compression() + return response + + +def create_cors_middleware(allowed_origin: str): + @web.middleware + async def cors_middleware(request: web.Request, handler): + if request.method == "OPTIONS": + # Pre-flight request. Reply successfully: + response = web.Response() + else: + response = await handler(request) + + response.headers['Access-Control-Allow-Origin'] = allowed_origin + response.headers['Access-Control-Allow-Methods'] = 'POST, GET, DELETE, PUT, OPTIONS' + response.headers['Access-Control-Allow-Headers'] = 'Content-Type, Authorization' + response.headers['Access-Control-Allow-Credentials'] = 'true' + return response + + return cors_middleware + +def is_loopback(host): + if host is None: + return False + try: + if ipaddress.ip_address(host).is_loopback: + return True + else: + return False + except: + pass + + loopback = False + for family in (socket.AF_INET, socket.AF_INET6): + try: + r = socket.getaddrinfo(host, None, family, socket.SOCK_STREAM) + for family, _, _, _, sockaddr in r: + if not ipaddress.ip_address(sockaddr[0]).is_loopback: + return loopback + else: + loopback = True + except socket.gaierror: + pass + + return loopback + + +def create_origin_only_middleware(): + @web.middleware + async def origin_only_middleware(request: web.Request, handler): + #this code is used to prevent the case where a random website can queue comfy workflows by making a POST to 127.0.0.1 which browsers don't prevent for some dumb reason. + #in that case the Host and Origin hostnames won't match + #I know the proper fix would be to add a cookie but this should take care of the problem in the meantime + if 'Host' in request.headers and 'Origin' in request.headers: + host = request.headers['Host'] + origin = request.headers['Origin'] + host_domain = host.lower() + parsed = urllib.parse.urlparse(origin) + origin_domain = parsed.netloc.lower() + host_domain_parsed = urllib.parse.urlsplit('//' + host_domain) + + #limit the check to when the host domain is localhost, this makes it slightly less safe but should still prevent the exploit + loopback = is_loopback(host_domain_parsed.hostname) + + if parsed.port is None: #if origin doesn't have a port strip it from the host to handle weird browsers, same for host + host_domain = host_domain_parsed.hostname + if host_domain_parsed.port is None: + origin_domain = parsed.hostname + + if loopback and host_domain is not None and origin_domain is not None and len(host_domain) > 0 and len(origin_domain) > 0: + if host_domain != origin_domain: + logging.warning("WARNING: request with non matching host and origin {} != {}, returning 403".format(host_domain, origin_domain)) + return web.Response(status=403) + + if request.method == "OPTIONS": + response = web.Response() + else: + response = await handler(request) + + return response + + return origin_only_middleware + +class PromptServer(): + def __init__(self, loop): + PromptServer.instance = self + + mimetypes.init() + mimetypes.add_type('application/javascript; charset=utf-8', '.js') + mimetypes.add_type('image/webp', '.webp') + + self.user_manager = UserManager() + self.model_file_manager = ModelFileManager() + self.custom_node_manager = CustomNodeManager() + self.internal_routes = InternalRoutes(self) + self.supports = ["custom_nodes_from_web"] + self.prompt_queue = execution.PromptQueue(self) + self.loop = loop + self.messages = asyncio.Queue() + self.client_session:Optional[aiohttp.ClientSession] = None + self.number = 0 + + middlewares = [cache_control] + if args.enable_compress_response_body: + middlewares.append(compress_body) + + if args.enable_cors_header: + middlewares.append(create_cors_middleware(args.enable_cors_header)) + else: + middlewares.append(create_origin_only_middleware()) + + max_upload_size = round(args.max_upload_size * 1024 * 1024) + self.app = web.Application(client_max_size=max_upload_size, middlewares=middlewares) + self.sockets = dict() + self.sockets_metadata = dict() + self.web_root = ( + FrontendManager.init_frontend(args.front_end_version) + if args.front_end_root is None + else args.front_end_root + ) + logging.info(f"[Prompt Server] web root: {self.web_root}") + routes = web.RouteTableDef() + self.routes = routes + self.last_node_id = None + self.client_id = None + + self.on_prompt_handlers = [] + + @routes.get('/ws') + async def websocket_handler(request): + ws = web.WebSocketResponse() + await ws.prepare(request) + sid = request.rel_url.query.get('clientId', '') + if sid: + # Reusing existing session, remove old + self.sockets.pop(sid, None) + else: + sid = uuid.uuid4().hex + + # Store WebSocket for backward compatibility + self.sockets[sid] = ws + # Store metadata separately + self.sockets_metadata[sid] = {"feature_flags": {}} + + try: + # Send initial state to the new client + await self.send("status", {"status": self.get_queue_info(), "sid": sid}, sid) + # On reconnect if we are the currently executing client send the current node + if self.client_id == sid and self.last_node_id is not None: + await self.send("executing", { "node": self.last_node_id }, sid) + + # Flag to track if we've received the first message + first_message = True + + async for msg in ws: + if msg.type == aiohttp.WSMsgType.ERROR: + logging.warning('ws connection closed with exception %s' % ws.exception()) + elif msg.type == aiohttp.WSMsgType.TEXT: + try: + data = json.loads(msg.data) + # Check if first message is feature flags + if first_message and data.get("type") == "feature_flags": + # Store client feature flags + client_flags = data.get("data", {}) + self.sockets_metadata[sid]["feature_flags"] = client_flags + + # Send server feature flags in response + await self.send( + "feature_flags", + feature_flags.get_server_features(), + sid, + ) + + logging.debug( + f"Feature flags negotiated for client {sid}: {client_flags}" + ) + first_message = False + except json.JSONDecodeError: + logging.warning( + f"Invalid JSON received from client {sid}: {msg.data}" + ) + except Exception as e: + logging.error(f"Error processing WebSocket message: {e}") + finally: + self.sockets.pop(sid, None) + self.sockets_metadata.pop(sid, None) + return ws + + @routes.get("/") + async def get_root(request): + response = web.FileResponse(os.path.join(self.web_root, "index.html")) + response.headers['Cache-Control'] = 'no-cache' + response.headers["Pragma"] = "no-cache" + response.headers["Expires"] = "0" + return response + + @routes.get("/embeddings") + def get_embeddings(request): + embeddings = folder_paths.get_filename_list("embeddings") + return web.json_response(list(map(lambda a: os.path.splitext(a)[0], embeddings))) + + @routes.get("/models") + def list_model_types(request): + model_types = list(folder_paths.folder_names_and_paths.keys()) + + return web.json_response(model_types) + + @routes.get("/models/{folder}") + async def get_models(request): + folder = request.match_info.get("folder", None) + if not folder in folder_paths.folder_names_and_paths: + return web.Response(status=404) + files = folder_paths.get_filename_list(folder) + return web.json_response(files) + + @routes.get("/extensions") + async def get_extensions(request): + files = glob.glob(os.path.join( + glob.escape(self.web_root), 'extensions/**/*.js'), recursive=True) + + extensions = list(map(lambda f: "/" + os.path.relpath(f, self.web_root).replace("\\", "/"), files)) + + for name, dir in nodes.EXTENSION_WEB_DIRS.items(): + files = glob.glob(os.path.join(glob.escape(dir), '**/*.js'), recursive=True) + extensions.extend(list(map(lambda f: "/extensions/" + urllib.parse.quote( + name) + "/" + os.path.relpath(f, dir).replace("\\", "/"), files))) + + return web.json_response(extensions) + + def get_dir_by_type(dir_type): + if dir_type is None: + dir_type = "input" + + if dir_type == "input": + type_dir = folder_paths.get_input_directory() + elif dir_type == "temp": + type_dir = folder_paths.get_temp_directory() + elif dir_type == "output": + type_dir = folder_paths.get_output_directory() + + return type_dir, dir_type + + def compare_image_hash(filepath, image): + hasher = node_helpers.hasher() + + # function to compare hashes of two images to see if it already exists, fix to #3465 + if os.path.exists(filepath): + a = hasher() + b = hasher() + with open(filepath, "rb") as f: + a.update(f.read()) + b.update(image.file.read()) + image.file.seek(0) + return a.hexdigest() == b.hexdigest() + return False + + def image_upload(post, image_save_function=None): + image = post.get("image") + overwrite = post.get("overwrite") + image_is_duplicate = False + + image_upload_type = post.get("type") + upload_dir, image_upload_type = get_dir_by_type(image_upload_type) + + if image and image.file: + filename = image.filename + if not filename: + return web.Response(status=400) + + subfolder = post.get("subfolder", "") + full_output_folder = os.path.join(upload_dir, os.path.normpath(subfolder)) + filepath = os.path.abspath(os.path.join(full_output_folder, filename)) + + if os.path.commonpath((upload_dir, filepath)) != upload_dir: + return web.Response(status=400) + + if not os.path.exists(full_output_folder): + os.makedirs(full_output_folder) + + split = os.path.splitext(filename) + + if overwrite is not None and (overwrite == "true" or overwrite == "1"): + pass + else: + i = 1 + while os.path.exists(filepath): + if compare_image_hash(filepath, image): #compare hash to prevent saving of duplicates with same name, fix for #3465 + image_is_duplicate = True + break + filename = f"{split[0]} ({i}){split[1]}" + filepath = os.path.join(full_output_folder, filename) + i += 1 + + if not image_is_duplicate: + if image_save_function is not None: + image_save_function(image, post, filepath) + else: + with open(filepath, "wb") as f: + f.write(image.file.read()) + + return web.json_response({"name" : filename, "subfolder": subfolder, "type": image_upload_type}) + else: + return web.Response(status=400) + + @routes.post("/upload/image") + async def upload_image(request): + post = await request.post() + return image_upload(post) + + + @routes.post("/upload/mask") + async def upload_mask(request): + post = await request.post() + + def image_save_function(image, post, filepath): + original_ref = json.loads(post.get("original_ref")) + filename, output_dir = folder_paths.annotated_filepath(original_ref['filename']) + + if not filename: + return web.Response(status=400) + + # validation for security: prevent accessing arbitrary path + if filename[0] == '/' or '..' in filename: + return web.Response(status=400) + + if output_dir is None: + type = original_ref.get("type", "output") + output_dir = folder_paths.get_directory_by_type(type) + + if output_dir is None: + return web.Response(status=400) + + if original_ref.get("subfolder", "") != "": + full_output_dir = os.path.join(output_dir, original_ref["subfolder"]) + if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir: + return web.Response(status=403) + output_dir = full_output_dir + + file = os.path.join(output_dir, filename) + + if os.path.isfile(file): + with Image.open(file) as original_pil: + metadata = PngInfo() + if hasattr(original_pil,'text'): + for key in original_pil.text: + metadata.add_text(key, original_pil.text[key]) + original_pil = original_pil.convert('RGBA') + mask_pil = Image.open(image.file).convert('RGBA') + + # alpha copy + new_alpha = mask_pil.getchannel('A') + original_pil.putalpha(new_alpha) + original_pil.save(filepath, compress_level=4, pnginfo=metadata) + + return image_upload(post, image_save_function) + + @routes.get("/view") + async def view_image(request): + if "filename" in request.rel_url.query: + filename = request.rel_url.query["filename"] + filename, output_dir = folder_paths.annotated_filepath(filename) + + if not filename: + return web.Response(status=400) + + # validation for security: prevent accessing arbitrary path + if filename[0] == '/' or '..' in filename: + return web.Response(status=400) + + if output_dir is None: + type = request.rel_url.query.get("type", "output") + output_dir = folder_paths.get_directory_by_type(type) + + if output_dir is None: + return web.Response(status=400) + + if "subfolder" in request.rel_url.query: + full_output_dir = os.path.join(output_dir, request.rel_url.query["subfolder"]) + if os.path.commonpath((os.path.abspath(full_output_dir), output_dir)) != output_dir: + return web.Response(status=403) + output_dir = full_output_dir + + filename = os.path.basename(filename) + file = os.path.join(output_dir, filename) + + if os.path.isfile(file): + if 'preview' in request.rel_url.query: + with Image.open(file) as img: + preview_info = request.rel_url.query['preview'].split(';') + image_format = preview_info[0] + if image_format not in ['webp', 'jpeg'] or 'a' in request.rel_url.query.get('channel', ''): + image_format = 'webp' + + quality = 90 + if preview_info[-1].isdigit(): + quality = int(preview_info[-1]) + + buffer = BytesIO() + if image_format in ['jpeg'] or request.rel_url.query.get('channel', '') == 'rgb': + img = img.convert("RGB") + img.save(buffer, format=image_format, quality=quality) + buffer.seek(0) + + return web.Response(body=buffer.read(), content_type=f'image/{image_format}', + headers={"Content-Disposition": f"filename=\"{filename}\""}) + + if 'channel' not in request.rel_url.query: + channel = 'rgba' + else: + channel = request.rel_url.query["channel"] + + if channel == 'rgb': + with Image.open(file) as img: + if img.mode == "RGBA": + r, g, b, a = img.split() + new_img = Image.merge('RGB', (r, g, b)) + else: + new_img = img.convert("RGB") + + buffer = BytesIO() + new_img.save(buffer, format='PNG') + buffer.seek(0) + + return web.Response(body=buffer.read(), content_type='image/png', + headers={"Content-Disposition": f"filename=\"{filename}\""}) + + elif channel == 'a': + with Image.open(file) as img: + if img.mode == "RGBA": + _, _, _, a = img.split() + else: + a = Image.new('L', img.size, 255) + + # alpha img + alpha_img = Image.new('RGBA', img.size) + alpha_img.putalpha(a) + alpha_buffer = BytesIO() + alpha_img.save(alpha_buffer, format='PNG') + alpha_buffer.seek(0) + + return web.Response(body=alpha_buffer.read(), content_type='image/png', + headers={"Content-Disposition": f"filename=\"{filename}\""}) + else: + # Get content type from mimetype, defaulting to 'application/octet-stream' + content_type = mimetypes.guess_type(filename)[0] or 'application/octet-stream' + + # For security, force certain mimetypes to download instead of display + if content_type in {'text/html', 'text/html-sandboxed', 'application/xhtml+xml', 'text/javascript', 'text/css'}: + content_type = 'application/octet-stream' # Forces download + + return web.FileResponse( + file, + headers={ + "Content-Disposition": f"filename=\"{filename}\"", + "Content-Type": content_type + } + ) + + return web.Response(status=404) + + @routes.get("/view_metadata/{folder_name}") + async def view_metadata(request): + folder_name = request.match_info.get("folder_name", None) + if folder_name is None: + return web.Response(status=404) + if not "filename" in request.rel_url.query: + return web.Response(status=404) + + filename = request.rel_url.query["filename"] + if not filename.endswith(".safetensors"): + return web.Response(status=404) + + safetensors_path = folder_paths.get_full_path(folder_name, filename) + if safetensors_path is None: + return web.Response(status=404) + out = comfy.utils.safetensors_header(safetensors_path, max_size=1024*1024) + if out is None: + return web.Response(status=404) + dt = json.loads(out) + if not "__metadata__" in dt: + return web.Response(status=404) + return web.json_response(dt["__metadata__"]) + + @routes.get("/system_stats") + async def system_stats(request): + device = comfy.model_management.get_torch_device() + device_name = comfy.model_management.get_torch_device_name(device) + cpu_device = comfy.model_management.torch.device("cpu") + ram_total = comfy.model_management.get_total_memory(cpu_device) + ram_free = comfy.model_management.get_free_memory(cpu_device) + vram_total, torch_vram_total = comfy.model_management.get_total_memory(device, torch_total_too=True) + vram_free, torch_vram_free = comfy.model_management.get_free_memory(device, torch_free_too=True) + required_frontend_version = FrontendManager.get_required_frontend_version() + + system_stats = { + "system": { + "os": os.name, + "ram_total": ram_total, + "ram_free": ram_free, + "comfyui_version": __version__, + "required_frontend_version": required_frontend_version, + "python_version": sys.version, + "pytorch_version": comfy.model_management.torch_version, + "embedded_python": os.path.split(os.path.split(sys.executable)[0])[1] == "python_embeded", + "argv": sys.argv + }, + "devices": [ + { + "name": device_name, + "type": device.type, + "index": device.index, + "vram_total": vram_total, + "vram_free": vram_free, + "torch_vram_total": torch_vram_total, + "torch_vram_free": torch_vram_free, + } + ] + } + return web.json_response(system_stats) + + @routes.get("/features") + async def get_features(request): + return web.json_response(feature_flags.get_server_features()) + + @routes.get("/prompt") + async def get_prompt(request): + return web.json_response(self.get_queue_info()) + + def node_info(node_class): + obj_class = nodes.NODE_CLASS_MAPPINGS[node_class] + if issubclass(obj_class, _ComfyNodeInternal): + return obj_class.GET_NODE_INFO_V1() + info = {} + info['input'] = obj_class.INPUT_TYPES() + info['input_order'] = {key: list(value.keys()) for (key, value) in obj_class.INPUT_TYPES().items()} + info['output'] = obj_class.RETURN_TYPES + info['output_is_list'] = obj_class.OUTPUT_IS_LIST if hasattr(obj_class, 'OUTPUT_IS_LIST') else [False] * len(obj_class.RETURN_TYPES) + info['output_name'] = obj_class.RETURN_NAMES if hasattr(obj_class, 'RETURN_NAMES') else info['output'] + info['name'] = node_class + info['display_name'] = nodes.NODE_DISPLAY_NAME_MAPPINGS[node_class] if node_class in nodes.NODE_DISPLAY_NAME_MAPPINGS.keys() else node_class + info['description'] = obj_class.DESCRIPTION if hasattr(obj_class,'DESCRIPTION') else '' + info['python_module'] = getattr(obj_class, "RELATIVE_PYTHON_MODULE", "nodes") + info['category'] = 'sd' + if hasattr(obj_class, 'OUTPUT_NODE') and obj_class.OUTPUT_NODE == True: + info['output_node'] = True + else: + info['output_node'] = False + + if hasattr(obj_class, 'CATEGORY'): + info['category'] = obj_class.CATEGORY + + if hasattr(obj_class, 'OUTPUT_TOOLTIPS'): + info['output_tooltips'] = obj_class.OUTPUT_TOOLTIPS + + if getattr(obj_class, "DEPRECATED", False): + info['deprecated'] = True + if getattr(obj_class, "EXPERIMENTAL", False): + info['experimental'] = True + + if hasattr(obj_class, 'API_NODE'): + info['api_node'] = obj_class.API_NODE + return info + + @routes.get("/object_info") + async def get_object_info(request): + with folder_paths.cache_helper: + out = {} + for x in nodes.NODE_CLASS_MAPPINGS: + try: + out[x] = node_info(x) + except Exception: + logging.error(f"[ERROR] An error occurred while retrieving information for the '{x}' node.") + logging.error(traceback.format_exc()) + return web.json_response(out) + + @routes.get("/object_info/{node_class}") + async def get_object_info_node(request): + node_class = request.match_info.get("node_class", None) + out = {} + if (node_class is not None) and (node_class in nodes.NODE_CLASS_MAPPINGS): + out[node_class] = node_info(node_class) + return web.json_response(out) + + @routes.get("/history") + async def get_history(request): + max_items = request.rel_url.query.get("max_items", None) + if max_items is not None: + max_items = int(max_items) + return web.json_response(self.prompt_queue.get_history(max_items=max_items)) + + @routes.get("/history/{prompt_id}") + async def get_history_prompt_id(request): + prompt_id = request.match_info.get("prompt_id", None) + return web.json_response(self.prompt_queue.get_history(prompt_id=prompt_id)) + + @routes.get("/queue") + async def get_queue(request): + queue_info = {} + current_queue = self.prompt_queue.get_current_queue_volatile() + queue_info['queue_running'] = current_queue[0] + queue_info['queue_pending'] = current_queue[1] + return web.json_response(queue_info) + + @routes.post("/prompt") + async def post_prompt(request): + logging.info("got prompt") + json_data = await request.json() + json_data = self.trigger_on_prompt(json_data) + + if "number" in json_data: + number = float(json_data['number']) + else: + number = self.number + if "front" in json_data: + if json_data['front']: + number = -number + + self.number += 1 + + if "prompt" in json_data: + prompt = json_data["prompt"] + prompt_id = str(json_data.get("prompt_id", uuid.uuid4())) + + partial_execution_targets = None + if "partial_execution_targets" in json_data: + partial_execution_targets = json_data["partial_execution_targets"] + + valid = await execution.validate_prompt(prompt_id, prompt, partial_execution_targets) + extra_data = {} + if "extra_data" in json_data: + extra_data = json_data["extra_data"] + + if "client_id" in json_data: + extra_data["client_id"] = json_data["client_id"] + if valid[0]: + outputs_to_execute = valid[2] + self.prompt_queue.put((number, prompt_id, prompt, extra_data, outputs_to_execute)) + response = {"prompt_id": prompt_id, "number": number, "node_errors": valid[3]} + return web.json_response(response) + else: + logging.warning("invalid prompt: {}".format(valid[1])) + return web.json_response({"error": valid[1], "node_errors": valid[3]}, status=400) + else: + error = { + "type": "no_prompt", + "message": "No prompt provided", + "details": "No prompt provided", + "extra_info": {} + } + return web.json_response({"error": error, "node_errors": {}}, status=400) + + @routes.post("/queue") + async def post_queue(request): + json_data = await request.json() + if "clear" in json_data: + if json_data["clear"]: + self.prompt_queue.wipe_queue() + if "delete" in json_data: + to_delete = json_data['delete'] + for id_to_delete in to_delete: + delete_func = lambda a: a[1] == id_to_delete + self.prompt_queue.delete_queue_item(delete_func) + + return web.Response(status=200) + + @routes.post("/interrupt") + async def post_interrupt(request): + try: + json_data = await request.json() + except json.JSONDecodeError: + json_data = {} + + # Check if a specific prompt_id was provided for targeted interruption + prompt_id = json_data.get('prompt_id') + if prompt_id: + currently_running, _ = self.prompt_queue.get_current_queue() + + # Check if the prompt_id matches any currently running prompt + should_interrupt = False + for item in currently_running: + # item structure: (number, prompt_id, prompt, extra_data, outputs_to_execute) + if item[1] == prompt_id: + logging.info(f"Interrupting prompt {prompt_id}") + should_interrupt = True + break + + if should_interrupt: + nodes.interrupt_processing() + else: + logging.info(f"Prompt {prompt_id} is not currently running, skipping interrupt") + else: + # No prompt_id provided, do a global interrupt + logging.info("Global interrupt (no prompt_id specified)") + nodes.interrupt_processing() + + return web.Response(status=200) + + @routes.post("/free") + async def post_free(request): + json_data = await request.json() + unload_models = json_data.get("unload_models", False) + free_memory = json_data.get("free_memory", False) + if unload_models: + self.prompt_queue.set_flag("unload_models", unload_models) + if free_memory: + self.prompt_queue.set_flag("free_memory", free_memory) + return web.Response(status=200) + + @routes.post("/history") + async def post_history(request): + json_data = await request.json() + if "clear" in json_data: + if json_data["clear"]: + self.prompt_queue.wipe_history() + if "delete" in json_data: + to_delete = json_data['delete'] + for id_to_delete in to_delete: + self.prompt_queue.delete_history_item(id_to_delete) + + return web.Response(status=200) + + async def setup(self): + timeout = aiohttp.ClientTimeout(total=None) # no timeout + self.client_session = aiohttp.ClientSession(timeout=timeout) + + def add_routes(self): + self.user_manager.add_routes(self.routes) + self.model_file_manager.add_routes(self.routes) + self.custom_node_manager.add_routes(self.routes, self.app, nodes.LOADED_MODULE_DIRS.items()) + self.app.add_subapp('/internal', self.internal_routes.get_app()) + + # Prefix every route with /api for easier matching for delegation. + # This is very useful for frontend dev server, which need to forward + # everything except serving of static files. + # Currently both the old endpoints without prefix and new endpoints with + # prefix are supported. + api_routes = web.RouteTableDef() + for route in self.routes: + # Custom nodes might add extra static routes. Only process non-static + # routes to add /api prefix. + if isinstance(route, web.RouteDef): + api_routes.route(route.method, "/api" + route.path)(route.handler, **route.kwargs) + self.app.add_routes(api_routes) + self.app.add_routes(self.routes) + + # Add routes from web extensions. + for name, dir in nodes.EXTENSION_WEB_DIRS.items(): + self.app.add_routes([web.static('/extensions/' + name, dir)]) + + workflow_templates_path = FrontendManager.templates_path() + if workflow_templates_path: + self.app.add_routes([ + web.static('/templates', workflow_templates_path) + ]) + + # Serve embedded documentation from the package + embedded_docs_path = FrontendManager.embedded_docs_path() + if embedded_docs_path: + self.app.add_routes([ + web.static('/docs', embedded_docs_path) + ]) + + self.app.add_routes([ + web.static('/', self.web_root), + ]) + + def get_queue_info(self): + prompt_info = {} + exec_info = {} + exec_info['queue_remaining'] = self.prompt_queue.get_tasks_remaining() + prompt_info['exec_info'] = exec_info + return prompt_info + + async def send(self, event, data, sid=None): + if event == BinaryEventTypes.UNENCODED_PREVIEW_IMAGE: + await self.send_image(data, sid=sid) + elif event == BinaryEventTypes.PREVIEW_IMAGE_WITH_METADATA: + # data is (preview_image, metadata) + preview_image, metadata = data + await self.send_image_with_metadata(preview_image, metadata, sid=sid) + elif isinstance(data, (bytes, bytearray)): + await self.send_bytes(event, data, sid) + else: + await self.send_json(event, data, sid) + + def encode_bytes(self, event, data): + if not isinstance(event, int): + raise RuntimeError(f"Binary event types must be integers, got {event}") + + packed = struct.pack(">I", event) + message = bytearray(packed) + message.extend(data) + return message + + async def send_image(self, image_data, sid=None): + image_type = image_data[0] + image = image_data[1] + max_size = image_data[2] + if max_size is not None: + if hasattr(Image, 'Resampling'): + resampling = Image.Resampling.BILINEAR + else: + resampling = Image.Resampling.LANCZOS + + image = ImageOps.contain(image, (max_size, max_size), resampling) + type_num = 1 + if image_type == "JPEG": + type_num = 1 + elif image_type == "PNG": + type_num = 2 + + bytesIO = BytesIO() + header = struct.pack(">I", type_num) + bytesIO.write(header) + image.save(bytesIO, format=image_type, quality=95, compress_level=1) + preview_bytes = bytesIO.getvalue() + await self.send_bytes(BinaryEventTypes.PREVIEW_IMAGE, preview_bytes, sid=sid) + + async def send_image_with_metadata(self, image_data, metadata=None, sid=None): + image_type = image_data[0] + image = image_data[1] + max_size = image_data[2] + if max_size is not None: + if hasattr(Image, 'Resampling'): + resampling = Image.Resampling.BILINEAR + else: + resampling = Image.Resampling.LANCZOS + + image = ImageOps.contain(image, (max_size, max_size), resampling) + + mimetype = "image/png" if image_type == "PNG" else "image/jpeg" + + # Prepare metadata + if metadata is None: + metadata = {} + metadata["image_type"] = mimetype + + # Serialize metadata as JSON + import json + metadata_json = json.dumps(metadata).encode('utf-8') + metadata_length = len(metadata_json) + + # Prepare image data + bytesIO = BytesIO() + image.save(bytesIO, format=image_type, quality=95, compress_level=1) + image_bytes = bytesIO.getvalue() + + # Combine metadata and image + combined_data = bytearray() + combined_data.extend(struct.pack(">I", metadata_length)) + combined_data.extend(metadata_json) + combined_data.extend(image_bytes) + + await self.send_bytes(BinaryEventTypes.PREVIEW_IMAGE_WITH_METADATA, combined_data, sid=sid) + + async def send_bytes(self, event, data, sid=None): + message = self.encode_bytes(event, data) + + if sid is None: + sockets = list(self.sockets.values()) + for ws in sockets: + await send_socket_catch_exception(ws.send_bytes, message) + elif sid in self.sockets: + await send_socket_catch_exception(self.sockets[sid].send_bytes, message) + + async def send_json(self, event, data, sid=None): + message = {"type": event, "data": data} + + if sid is None: + sockets = list(self.sockets.values()) + for ws in sockets: + await send_socket_catch_exception(ws.send_json, message) + elif sid in self.sockets: + await send_socket_catch_exception(self.sockets[sid].send_json, message) + + def send_sync(self, event, data, sid=None): + self.loop.call_soon_threadsafe( + self.messages.put_nowait, (event, data, sid)) + + def queue_updated(self): + self.send_sync("status", { "status": self.get_queue_info() }) + + async def publish_loop(self): + while True: + msg = await self.messages.get() + await self.send(*msg) + + async def start(self, address, port, verbose=True, call_on_start=None): + await self.start_multi_address([(address, port)], call_on_start=call_on_start) + + async def start_multi_address(self, addresses, call_on_start=None, verbose=True): + runner = web.AppRunner(self.app, access_log=None) + await runner.setup() + ssl_ctx = None + scheme = "http" + if args.tls_keyfile and args.tls_certfile: + ssl_ctx = ssl.SSLContext(protocol=ssl.PROTOCOL_TLS_SERVER, verify_mode=ssl.CERT_NONE) + ssl_ctx.load_cert_chain(certfile=args.tls_certfile, + keyfile=args.tls_keyfile) + scheme = "https" + + if verbose: + logging.info("Starting server\n") + for addr in addresses: + address = addr[0] + port = addr[1] + site = web.TCPSite(runner, address, port, ssl_context=ssl_ctx) + await site.start() + + if not hasattr(self, 'address'): + self.address = address #TODO: remove this + self.port = port + + if ':' in address: + address_print = "[{}]".format(address) + else: + address_print = address + + if verbose: + logging.info("To see the GUI go to: {}://{}:{}".format(scheme, address_print, port)) + + if call_on_start is not None: + call_on_start(scheme, self.address, self.port) + + def add_on_prompt_handler(self, handler): + self.on_prompt_handlers.append(handler) + + def trigger_on_prompt(self, json_data): + for handler in self.on_prompt_handlers: + try: + json_data = handler(json_data) + except Exception: + logging.warning("[ERROR] An error occurred during the on_prompt_handler processing") + logging.warning(traceback.format_exc()) + + return json_data + + def send_progress_text( + self, text: Union[bytes, bytearray, str], node_id: str, sid=None + ): + if isinstance(text, str): + text = text.encode("utf-8") + node_id_bytes = str(node_id).encode("utf-8") + + # Pack the node_id length as a 4-byte unsigned integer, followed by the node_id bytes + message = struct.pack(">I", len(node_id_bytes)) + node_id_bytes + text + + self.send_sync(BinaryEventTypes.TEXT, message, sid) diff --git a/tests-unit/README.md b/tests-unit/README.md new file mode 100644 index 0000000000000000000000000000000000000000..81692b8f1de8c74fd058e627d10dbd0fc2821257 --- /dev/null +++ b/tests-unit/README.md @@ -0,0 +1,8 @@ +# Pytest Unit Tests + +## Install test dependencies + +`pip install -r tests-unit/requirements.txt` + +## Run tests +`pytest tests-unit/` diff --git a/tests-unit/app_test/__init__.py b/tests-unit/app_test/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tests-unit/app_test/custom_node_manager_test.py b/tests-unit/app_test/custom_node_manager_test.py new file mode 100644 index 0000000000000000000000000000000000000000..b61e25e54e657609b3970358d6ff3354ff8f5a8e --- /dev/null +++ b/tests-unit/app_test/custom_node_manager_test.py @@ -0,0 +1,147 @@ +import pytest +from aiohttp import web +from unittest.mock import patch +from app.custom_node_manager import CustomNodeManager +import json + +pytestmark = ( + pytest.mark.asyncio +) # This applies the asyncio mark to all test functions in the module + + +@pytest.fixture +def custom_node_manager(): + return CustomNodeManager() + + +@pytest.fixture +def app(custom_node_manager): + app = web.Application() + routes = web.RouteTableDef() + custom_node_manager.add_routes( + routes, app, [("ComfyUI-TestExtension1", "ComfyUI-TestExtension1")] + ) + app.add_routes(routes) + return app + + +async def test_get_workflow_templates(aiohttp_client, app, tmp_path): + client = await aiohttp_client(app) + # Setup temporary custom nodes file structure with 1 workflow file + custom_nodes_dir = tmp_path / "custom_nodes" + example_workflows_dir = ( + custom_nodes_dir / "ComfyUI-TestExtension1" / "example_workflows" + ) + example_workflows_dir.mkdir(parents=True) + template_file = example_workflows_dir / "workflow1.json" + template_file.write_text("") + + with patch( + "folder_paths.folder_names_and_paths", + {"custom_nodes": ([str(custom_nodes_dir)], None)}, + ): + response = await client.get("/workflow_templates") + assert response.status == 200 + workflows_dict = await response.json() + assert isinstance(workflows_dict, dict) + assert "ComfyUI-TestExtension1" in workflows_dict + assert isinstance(workflows_dict["ComfyUI-TestExtension1"], list) + assert workflows_dict["ComfyUI-TestExtension1"][0] == "workflow1" + + +async def test_build_translations_empty_when_no_locales(custom_node_manager, tmp_path): + custom_nodes_dir = tmp_path / "custom_nodes" + custom_nodes_dir.mkdir(parents=True) + + with patch("folder_paths.get_folder_paths", return_value=[str(custom_nodes_dir)]): + translations = custom_node_manager.build_translations() + assert translations == {} + + +async def test_build_translations_loads_all_files(custom_node_manager, tmp_path): + # Setup test directory structure + custom_nodes_dir = tmp_path / "custom_nodes" / "test-extension" + locales_dir = custom_nodes_dir / "locales" / "en" + locales_dir.mkdir(parents=True) + + # Create test translation files + main_content = {"title": "Test Extension"} + (locales_dir / "main.json").write_text(json.dumps(main_content)) + + node_defs = {"node1": "Node 1"} + (locales_dir / "nodeDefs.json").write_text(json.dumps(node_defs)) + + commands = {"cmd1": "Command 1"} + (locales_dir / "commands.json").write_text(json.dumps(commands)) + + settings = {"setting1": "Setting 1"} + (locales_dir / "settings.json").write_text(json.dumps(settings)) + + with patch( + "folder_paths.get_folder_paths", return_value=[tmp_path / "custom_nodes"] + ): + translations = custom_node_manager.build_translations() + + assert translations == { + "en": { + "title": "Test Extension", + "nodeDefs": {"node1": "Node 1"}, + "commands": {"cmd1": "Command 1"}, + "settings": {"setting1": "Setting 1"}, + } + } + + +async def test_build_translations_handles_invalid_json(custom_node_manager, tmp_path): + # Setup test directory structure + custom_nodes_dir = tmp_path / "custom_nodes" / "test-extension" + locales_dir = custom_nodes_dir / "locales" / "en" + locales_dir.mkdir(parents=True) + + # Create valid main.json + main_content = {"title": "Test Extension"} + (locales_dir / "main.json").write_text(json.dumps(main_content)) + + # Create invalid JSON file + (locales_dir / "nodeDefs.json").write_text("invalid json{") + + with patch( + "folder_paths.get_folder_paths", return_value=[tmp_path / "custom_nodes"] + ): + translations = custom_node_manager.build_translations() + + assert translations == { + "en": { + "title": "Test Extension", + } + } + + +async def test_build_translations_merges_multiple_extensions( + custom_node_manager, tmp_path +): + # Setup test directory structure for two extensions + custom_nodes_dir = tmp_path / "custom_nodes" + ext1_dir = custom_nodes_dir / "extension1" / "locales" / "en" + ext2_dir = custom_nodes_dir / "extension2" / "locales" / "en" + ext1_dir.mkdir(parents=True) + ext2_dir.mkdir(parents=True) + + # Create translation files for extension 1 + ext1_main = {"title": "Extension 1", "shared": "Original"} + (ext1_dir / "main.json").write_text(json.dumps(ext1_main)) + + # Create translation files for extension 2 + ext2_main = {"description": "Extension 2", "shared": "Override"} + (ext2_dir / "main.json").write_text(json.dumps(ext2_main)) + + with patch("folder_paths.get_folder_paths", return_value=[str(custom_nodes_dir)]): + translations = custom_node_manager.build_translations() + + assert translations == { + "en": { + "title": "Extension 1", + "description": "Extension 2", + "shared": "Override", # Second extension should override first + } + } diff --git a/tests-unit/app_test/frontend_manager_test.py b/tests-unit/app_test/frontend_manager_test.py new file mode 100644 index 0000000000000000000000000000000000000000..ce43ac564e8a5431566cdaef270aff47f7b0d9ec --- /dev/null +++ b/tests-unit/app_test/frontend_manager_test.py @@ -0,0 +1,207 @@ +import argparse +import pytest +from requests.exceptions import HTTPError +from unittest.mock import patch, mock_open + +from app.frontend_management import ( + FrontendManager, + FrontEndProvider, + Release, +) +from comfy.cli_args import DEFAULT_VERSION_STRING + + +@pytest.fixture +def mock_releases(): + return [ + Release( + id=1, + tag_name="1.0.0", + name="Release 1.0.0", + prerelease=False, + created_at="2022-01-01T00:00:00Z", + published_at="2022-01-01T00:00:00Z", + body="Release notes for 1.0.0", + assets=[{"name": "dist.zip", "url": "https://example.com/dist.zip"}], + ), + Release( + id=2, + tag_name="2.0.0", + name="Release 2.0.0", + prerelease=False, + created_at="2022-02-01T00:00:00Z", + published_at="2022-02-01T00:00:00Z", + body="Release notes for 2.0.0", + assets=[{"name": "dist.zip", "url": "https://example.com/dist.zip"}], + ), + ] + + +@pytest.fixture +def mock_provider(mock_releases): + provider = FrontEndProvider( + owner="test-owner", + repo="test-repo", + ) + provider.all_releases = mock_releases + provider.latest_release = mock_releases[1] + FrontendManager.PROVIDERS = [provider] + return provider + + +def test_get_release(mock_provider, mock_releases): + version = "1.0.0" + release = mock_provider.get_release(version) + assert release == mock_releases[0] + + +def test_get_release_latest(mock_provider, mock_releases): + version = "latest" + release = mock_provider.get_release(version) + assert release == mock_releases[1] + + +def test_get_release_invalid_version(mock_provider): + version = "invalid" + with pytest.raises(ValueError): + mock_provider.get_release(version) + + +def test_init_frontend_default(): + version_string = DEFAULT_VERSION_STRING + frontend_path = FrontendManager.init_frontend(version_string) + assert frontend_path == FrontendManager.default_frontend_path() + + +def test_init_frontend_invalid_version(): + version_string = "test-owner/test-repo@1.100.99" + with pytest.raises(HTTPError): + FrontendManager.init_frontend_unsafe(version_string) + + +def test_init_frontend_invalid_provider(): + version_string = "invalid/invalid@latest" + with pytest.raises(HTTPError): + FrontendManager.init_frontend_unsafe(version_string) + + +@pytest.fixture +def mock_os_functions(): + with ( + patch("app.frontend_management.os.makedirs") as mock_makedirs, + patch("app.frontend_management.os.listdir") as mock_listdir, + patch("app.frontend_management.os.rmdir") as mock_rmdir, + ): + mock_listdir.return_value = [] # Simulate empty directory + yield mock_makedirs, mock_listdir, mock_rmdir + + +@pytest.fixture +def mock_download(): + with patch("app.frontend_management.download_release_asset_zip") as mock: + mock.side_effect = Exception("Download failed") # Simulate download failure + yield mock + + +def test_finally_block(mock_os_functions, mock_download, mock_provider): + # Arrange + mock_makedirs, mock_listdir, mock_rmdir = mock_os_functions + version_string = "test-owner/test-repo@1.0.0" + + # Act & Assert + with pytest.raises(Exception): + FrontendManager.init_frontend_unsafe(version_string, mock_provider) + + # Assert + mock_makedirs.assert_called_once() + mock_download.assert_called_once() + mock_listdir.assert_called_once() + mock_rmdir.assert_called_once() + + +def test_parse_version_string(): + version_string = "owner/repo@1.0.0" + repo_owner, repo_name, version = FrontendManager.parse_version_string( + version_string + ) + assert repo_owner == "owner" + assert repo_name == "repo" + assert version == "1.0.0" + + +def test_parse_version_string_invalid(): + version_string = "invalid" + with pytest.raises(argparse.ArgumentTypeError): + FrontendManager.parse_version_string(version_string) + + +def test_init_frontend_default_with_mocks(): + # Arrange + version_string = DEFAULT_VERSION_STRING + + # Act + with ( + patch("app.frontend_management.check_frontend_version") as mock_check, + patch.object( + FrontendManager, "default_frontend_path", return_value="/mocked/path" + ), + ): + frontend_path = FrontendManager.init_frontend(version_string) + + # Assert + assert frontend_path == "/mocked/path" + mock_check.assert_called_once() + + +def test_init_frontend_fallback_on_error(): + # Arrange + version_string = "test-owner/test-repo@1.0.0" + + # Act + with ( + patch.object( + FrontendManager, "init_frontend_unsafe", side_effect=Exception("Test error") + ), + patch("app.frontend_management.check_frontend_version") as mock_check, + patch.object( + FrontendManager, "default_frontend_path", return_value="/default/path" + ), + ): + frontend_path = FrontendManager.init_frontend(version_string) + + # Assert + assert frontend_path == "/default/path" + mock_check.assert_called_once() + + +def test_get_frontend_version(): + # Arrange + expected_version = "1.25.0" + mock_requirements_content = """torch +torchsde +comfyui-frontend-package==1.25.0 +other-package==1.0.0 +numpy""" + + # Act + with patch("builtins.open", mock_open(read_data=mock_requirements_content)): + version = FrontendManager.get_required_frontend_version() + + # Assert + assert version == expected_version + + +def test_get_frontend_version_invalid_semver(): + # Arrange + mock_requirements_content = """torch +torchsde +comfyui-frontend-package==1.29.3.75 +other-package==1.0.0 +numpy""" + + # Act + with patch("builtins.open", mock_open(read_data=mock_requirements_content)): + version = FrontendManager.get_required_frontend_version() + + # Assert + assert version is None diff --git a/tests-unit/app_test/model_manager_test.py b/tests-unit/app_test/model_manager_test.py new file mode 100644 index 0000000000000000000000000000000000000000..ae59206f65639ca1749b1cf7b6903ebab18fb298 --- /dev/null +++ b/tests-unit/app_test/model_manager_test.py @@ -0,0 +1,62 @@ +import pytest +import base64 +import json +import struct +from io import BytesIO +from PIL import Image +from aiohttp import web +from unittest.mock import patch +from app.model_manager import ModelFileManager + +pytestmark = ( + pytest.mark.asyncio +) # This applies the asyncio mark to all test functions in the module + +@pytest.fixture +def model_manager(): + return ModelFileManager() + +@pytest.fixture +def app(model_manager): + app = web.Application() + routes = web.RouteTableDef() + model_manager.add_routes(routes) + app.add_routes(routes) + return app + +async def test_get_model_preview_safetensors(aiohttp_client, app, tmp_path): + img = Image.new('RGB', (100, 100), 'white') + img_byte_arr = BytesIO() + img.save(img_byte_arr, format='PNG') + img_byte_arr.seek(0) + img_b64 = base64.b64encode(img_byte_arr.getvalue()).decode('utf-8') + + safetensors_file = tmp_path / "test_model.safetensors" + header_bytes = json.dumps({ + "__metadata__": { + "ssmd_cover_images": json.dumps([img_b64]) + } + }).encode('utf-8') + length_bytes = struct.pack('= 0.9) # Should be close to white + + # Test black spacing + result_black = node.stitch(image1, "right", False, 16, "black", image2) + spacing_region = result_black[0][:, :, 32:48, :] + assert torch.all(spacing_region <= 0.1) # Should be close to black + + def test_odd_spacing_width_made_even(self): + """Test that odd spacing widths are made even""" + node = ImageStitch() + image1 = self.create_test_image(height=32, width=32) + image2 = self.create_test_image(height=32, width=32) + + # Use odd spacing width + result = node.stitch(image1, "right", False, 15, "white", image2) + + # Should be made even (16), so total width = 32 + 16 + 32 = 80 + assert result[0].shape == (1, 32, 80, 3) + + def test_batch_size_matching(self): + """Test that different batch sizes are handled correctly""" + node = ImageStitch() + image1 = self.create_test_image(batch_size=2, height=32, width=32) + image2 = self.create_test_image(batch_size=1, height=32, width=32) + + result = node.stitch(image1, "right", False, 0, "white", image2) + + # Should match larger batch size + assert result[0].shape == (2, 32, 64, 3) + + def test_channel_matching_rgb_to_rgba(self): + """Test that channel differences are handled (RGB + alpha)""" + node = ImageStitch() + image1 = self.create_test_image(channels=3) # RGB + image2 = self.create_test_image(channels=4) # RGBA + + result = node.stitch(image1, "right", False, 0, "white", image2) + + # Should have 4 channels (RGBA) + assert result[0].shape[-1] == 4 + + def test_channel_matching_rgba_to_rgb(self): + """Test that channel differences are handled (RGBA + RGB)""" + node = ImageStitch() + image1 = self.create_test_image(channels=4) # RGBA + image2 = self.create_test_image(channels=3) # RGB + + result = node.stitch(image1, "right", False, 0, "white", image2) + + # Should have 4 channels (RGBA) + assert result[0].shape[-1] == 4 + + def test_all_color_options(self): + """Test all available color options""" + node = ImageStitch() + image1 = self.create_test_image(height=32, width=32) + image2 = self.create_test_image(height=32, width=32) + + colors = ["white", "black", "red", "green", "blue"] + + for color in colors: + result = node.stitch(image1, "right", False, 16, color, image2) + assert result[0].shape == (1, 32, 80, 3) # Basic shape check + + def test_all_directions(self): + """Test all direction options""" + node = ImageStitch() + image1 = self.create_test_image(height=32, width=32) + image2 = self.create_test_image(height=32, width=32) + + directions = ["right", "left", "up", "down"] + + for direction in directions: + result = node.stitch(image1, direction, False, 0, "white", image2) + assert result[0].shape == (1, 32, 64, 3) if direction in ["right", "left"] else (1, 64, 32, 3) + + def test_batch_size_channel_spacing_integration(self): + """Test integration of batch matching, channel matching, size matching, and spacings""" + node = ImageStitch() + image1 = self.create_test_image(batch_size=2, height=64, width=48, channels=3) + image2 = self.create_test_image(batch_size=1, height=32, width=32, channels=4) + + result = node.stitch(image1, "right", True, 8, "red", image2) + + # Should handle: batch matching, size matching, channel matching, spacing + assert result[0].shape[0] == 2 # Batch size matched + assert result[0].shape[-1] == 4 # Channels matched to max + assert result[0].shape[1] == 64 # Height from image1 (size matching) + # Width should be: 48 + 8 (spacing) + resized_image2_width + expected_image2_width = int(64 * (32/32)) # Resized to height 64 + expected_total_width = 48 + 8 + expected_image2_width + assert result[0].shape[2] == expected_total_width + diff --git a/tests-unit/comfy_test/folder_path_test.py b/tests-unit/comfy_test/folder_path_test.py new file mode 100644 index 0000000000000000000000000000000000000000..775e15c36ba8a74657161b59ec98ebc62db52512 --- /dev/null +++ b/tests-unit/comfy_test/folder_path_test.py @@ -0,0 +1,162 @@ +### 🗻 This file is created through the spirit of Mount Fuji at its peak +# TODO(yoland): clean up this after I get back down +import sys +import pytest +import os +import tempfile +from unittest.mock import patch +from importlib import reload + +import folder_paths +import comfy.cli_args +from comfy.options import enable_args_parsing +enable_args_parsing() + + +@pytest.fixture() +def clear_folder_paths(): + # Reload the module after each test to ensure isolation + yield + reload(folder_paths) + +@pytest.fixture +def temp_dir(): + with tempfile.TemporaryDirectory() as tmpdirname: + yield tmpdirname + + +@pytest.fixture +def set_base_dir(): + def _set_base_dir(base_dir): + # Mock CLI args + with patch.object(sys, 'argv', ["main.py", "--base-directory", base_dir]): + reload(comfy.cli_args) + reload(folder_paths) + yield _set_base_dir + # Reload the modules after each test to ensure isolation + with patch.object(sys, 'argv', ["main.py"]): + reload(comfy.cli_args) + reload(folder_paths) + + +def test_get_directory_by_type(clear_folder_paths): + test_dir = "/test/dir" + folder_paths.set_output_directory(test_dir) + assert folder_paths.get_directory_by_type("output") == test_dir + assert folder_paths.get_directory_by_type("invalid") is None + +def test_annotated_filepath(): + assert folder_paths.annotated_filepath("test.txt") == ("test.txt", None) + assert folder_paths.annotated_filepath("test.txt [output]") == ("test.txt", folder_paths.get_output_directory()) + assert folder_paths.annotated_filepath("test.txt [input]") == ("test.txt", folder_paths.get_input_directory()) + assert folder_paths.annotated_filepath("test.txt [temp]") == ("test.txt", folder_paths.get_temp_directory()) + +def test_get_annotated_filepath(): + default_dir = "/default/dir" + assert folder_paths.get_annotated_filepath("test.txt", default_dir) == os.path.join(default_dir, "test.txt") + assert folder_paths.get_annotated_filepath("test.txt [output]") == os.path.join(folder_paths.get_output_directory(), "test.txt") + +def test_add_model_folder_path_append(clear_folder_paths): + folder_paths.add_model_folder_path("test_folder", "/default/path", is_default=True) + folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False) + assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"] + + +def test_add_model_folder_path_insert(clear_folder_paths): + folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False) + folder_paths.add_model_folder_path("test_folder", "/default/path", is_default=True) + assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"] + + +def test_add_model_folder_path_re_add_existing_default(clear_folder_paths): + folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False) + folder_paths.add_model_folder_path("test_folder", "/old_default/path", is_default=True) + assert folder_paths.get_folder_paths("test_folder") == ["/old_default/path", "/test/path"] + folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=True) + assert folder_paths.get_folder_paths("test_folder") == ["/test/path", "/old_default/path"] + + +def test_add_model_folder_path_re_add_existing_non_default(clear_folder_paths): + folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False) + folder_paths.add_model_folder_path("test_folder", "/default/path", is_default=True) + assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"] + folder_paths.add_model_folder_path("test_folder", "/test/path", is_default=False) + assert folder_paths.get_folder_paths("test_folder") == ["/default/path", "/test/path"] + + +def test_recursive_search(temp_dir): + os.makedirs(os.path.join(temp_dir, "subdir")) + open(os.path.join(temp_dir, "file1.txt"), "w").close() + open(os.path.join(temp_dir, "subdir", "file2.txt"), "w").close() + + files, dirs = folder_paths.recursive_search(temp_dir) + assert set(files) == {"file1.txt", os.path.join("subdir", "file2.txt")} + assert len(dirs) == 2 # temp_dir and subdir + +def test_filter_files_extensions(): + files = ["file1.txt", "file2.jpg", "file3.png", "file4.txt"] + assert folder_paths.filter_files_extensions(files, [".txt"]) == ["file1.txt", "file4.txt"] + assert folder_paths.filter_files_extensions(files, [".jpg", ".png"]) == ["file2.jpg", "file3.png"] + assert folder_paths.filter_files_extensions(files, []) == files + +@patch("folder_paths.recursive_search") +@patch("folder_paths.folder_names_and_paths") +def test_get_filename_list(mock_folder_names_and_paths, mock_recursive_search): + mock_folder_names_and_paths.__getitem__.return_value = (["/test/path"], {".txt"}) + mock_recursive_search.return_value = (["file1.txt", "file2.jpg"], {}) + assert folder_paths.get_filename_list("test_folder") == ["file1.txt"] + +def test_get_save_image_path(temp_dir): + with patch("folder_paths.output_directory", temp_dir): + full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path("test", temp_dir, 100, 100) + assert os.path.samefile(full_output_folder, temp_dir) + assert filename == "test" + assert counter == 1 + assert subfolder == "" + assert filename_prefix == "test" + + +def test_base_path_changes(set_base_dir): + test_dir = os.path.abspath("/test/dir") + set_base_dir(test_dir) + + assert folder_paths.base_path == test_dir + assert folder_paths.models_dir == os.path.join(test_dir, "models") + assert folder_paths.input_directory == os.path.join(test_dir, "input") + assert folder_paths.output_directory == os.path.join(test_dir, "output") + assert folder_paths.temp_directory == os.path.join(test_dir, "temp") + assert folder_paths.user_directory == os.path.join(test_dir, "user") + + assert os.path.join(test_dir, "custom_nodes") in folder_paths.get_folder_paths("custom_nodes") + + for name in ["checkpoints", "loras", "vae", "configs", "embeddings", "controlnet", "classifiers"]: + assert folder_paths.get_folder_paths(name)[0] == os.path.join(test_dir, "models", name) + + +def test_base_path_change_clears_old(set_base_dir): + test_dir = os.path.abspath("/test/dir") + set_base_dir(test_dir) + + assert len(folder_paths.get_folder_paths("custom_nodes")) == 1 + + single_model_paths = [ + "checkpoints", + "loras", + "vae", + "configs", + "clip_vision", + "style_models", + "diffusers", + "vae_approx", + "gligen", + "upscale_models", + "embeddings", + "hypernetworks", + "photomaker", + "classifiers", + ] + for name in single_model_paths: + assert len(folder_paths.get_folder_paths(name)) == 1 + + for name in ["controlnet", "diffusion_models", "text_encoders"]: + assert len(folder_paths.get_folder_paths(name)) == 2 diff --git a/tests-unit/execution_test/validate_node_input_test.py b/tests-unit/execution_test/validate_node_input_test.py new file mode 100644 index 0000000000000000000000000000000000000000..85a0c9601fd859c9374bfc753bb3382194a709d3 --- /dev/null +++ b/tests-unit/execution_test/validate_node_input_test.py @@ -0,0 +1,119 @@ +import pytest +from comfy_execution.validation import validate_node_input + + +def test_exact_match(): + """Test cases where types match exactly""" + assert validate_node_input("STRING", "STRING") + assert validate_node_input("STRING,INT", "STRING,INT") + assert validate_node_input("INT,STRING", "STRING,INT") # Order shouldn't matter + + +def test_strict_mode(): + """Test strict mode validation""" + # Should pass - received type is subset of input type + assert validate_node_input("STRING", "STRING,INT", strict=True) + assert validate_node_input("INT", "STRING,INT", strict=True) + assert validate_node_input("STRING,INT", "STRING,INT,BOOLEAN", strict=True) + + # Should fail - received type is not subset of input type + assert not validate_node_input("STRING,INT", "STRING", strict=True) + assert not validate_node_input("STRING,BOOLEAN", "STRING", strict=True) + assert not validate_node_input("INT,BOOLEAN", "STRING,INT", strict=True) + + +def test_non_strict_mode(): + """Test non-strict mode validation (default behavior)""" + # Should pass - types have overlap + assert validate_node_input("STRING,BOOLEAN", "STRING,INT") + assert validate_node_input("STRING,INT", "INT,BOOLEAN") + assert validate_node_input("STRING", "STRING,INT") + + # Should fail - no overlap in types + assert not validate_node_input("BOOLEAN", "STRING,INT") + assert not validate_node_input("FLOAT", "STRING,INT") + assert not validate_node_input("FLOAT,BOOLEAN", "STRING,INT") + + +def test_whitespace_handling(): + """Test that whitespace is handled correctly""" + assert validate_node_input("STRING, INT", "STRING,INT") + assert validate_node_input("STRING,INT", "STRING, INT") + assert validate_node_input(" STRING , INT ", "STRING,INT") + assert validate_node_input("STRING,INT", " STRING , INT ") + + +def test_empty_strings(): + """Test behavior with empty strings""" + assert validate_node_input("", "") + assert not validate_node_input("STRING", "") + assert not validate_node_input("", "STRING") + + +def test_single_vs_multiple(): + """Test single type against multiple types""" + assert validate_node_input("STRING", "STRING,INT,BOOLEAN") + assert validate_node_input("STRING,INT,BOOLEAN", "STRING", strict=False) + assert not validate_node_input("STRING,INT,BOOLEAN", "STRING", strict=True) + + +def test_non_string(): + """Test non-string types""" + obj1 = object() + obj2 = object() + assert validate_node_input(obj1, obj1) + assert not validate_node_input(obj1, obj2) + + +class NotEqualsOverrideTest(str): + """Test class for ``__ne__`` override.""" + + def __ne__(self, value: object) -> bool: + if self == "*" or value == "*": + return False + if self == "LONGER_THAN_2": + return not len(value) > 2 + raise TypeError("This is a class for unit tests only.") + + +def test_ne_override(): + """Test ``__ne__`` any override""" + any = NotEqualsOverrideTest("*") + invalid_type = "INVALID_TYPE" + obj = object() + assert validate_node_input(any, any) + assert validate_node_input(any, invalid_type) + assert validate_node_input(any, obj) + assert validate_node_input(any, {}) + assert validate_node_input(any, []) + assert validate_node_input(any, [1, 2, 3]) + + +def test_ne_custom_override(): + """Test ``__ne__`` custom override""" + special = NotEqualsOverrideTest("LONGER_THAN_2") + + assert validate_node_input(special, special) + assert validate_node_input(special, "*") + assert validate_node_input(special, "INVALID_TYPE") + assert validate_node_input(special, [1, 2, 3]) + + # Should fail + assert not validate_node_input(special, [1, 2]) + assert not validate_node_input(special, "TY") + + +@pytest.mark.parametrize( + "received,input_type,strict,expected", + [ + ("STRING", "STRING", False, True), + ("STRING,INT", "STRING,INT", False, True), + ("STRING", "STRING,INT", True, True), + ("STRING,INT", "STRING", True, False), + ("BOOLEAN", "STRING,INT", False, False), + ("STRING,BOOLEAN", "STRING,INT", False, True), + ], +) +def test_parametrized_cases(received, input_type, strict, expected): + """Parametrized test cases for various scenarios""" + assert validate_node_input(received, input_type, strict) == expected diff --git a/tests-unit/feature_flags_test.py b/tests-unit/feature_flags_test.py new file mode 100644 index 0000000000000000000000000000000000000000..f2702cfc84cdd427f82c3fe0a95148ee83c88f36 --- /dev/null +++ b/tests-unit/feature_flags_test.py @@ -0,0 +1,98 @@ +"""Tests for feature flags functionality.""" + +from comfy_api.feature_flags import ( + get_connection_feature, + supports_feature, + get_server_features, + SERVER_FEATURE_FLAGS, +) + + +class TestFeatureFlags: + """Test suite for feature flags functions.""" + + def test_get_server_features_returns_copy(self): + """Test that get_server_features returns a copy of the server flags.""" + features = get_server_features() + # Verify it's a copy by modifying it + features["test_flag"] = True + # Original should be unchanged + assert "test_flag" not in SERVER_FEATURE_FLAGS + + def test_get_server_features_contains_expected_flags(self): + """Test that server features contain expected flags.""" + features = get_server_features() + assert "supports_preview_metadata" in features + assert features["supports_preview_metadata"] is True + assert "max_upload_size" in features + assert isinstance(features["max_upload_size"], (int, float)) + + def test_get_connection_feature_with_missing_sid(self): + """Test getting feature for non-existent session ID.""" + sockets_metadata = {} + result = get_connection_feature(sockets_metadata, "missing_sid", "some_feature") + assert result is False # Default value + + def test_get_connection_feature_with_custom_default(self): + """Test getting feature with custom default value.""" + sockets_metadata = {} + result = get_connection_feature( + sockets_metadata, "missing_sid", "some_feature", default="custom_default" + ) + assert result == "custom_default" + + def test_get_connection_feature_with_feature_flags(self): + """Test getting feature from connection with feature flags.""" + sockets_metadata = { + "sid1": { + "feature_flags": { + "supports_preview_metadata": True, + "custom_feature": "value", + }, + } + } + result = get_connection_feature(sockets_metadata, "sid1", "supports_preview_metadata") + assert result is True + + result = get_connection_feature(sockets_metadata, "sid1", "custom_feature") + assert result == "value" + + def test_get_connection_feature_missing_feature(self): + """Test getting non-existent feature from connection.""" + sockets_metadata = { + "sid1": {"feature_flags": {"existing_feature": True}} + } + result = get_connection_feature(sockets_metadata, "sid1", "missing_feature") + assert result is False + + def test_supports_feature_returns_boolean(self): + """Test that supports_feature always returns boolean.""" + sockets_metadata = { + "sid1": { + "feature_flags": { + "bool_feature": True, + "string_feature": "value", + "none_feature": None, + }, + } + } + + # True boolean feature + assert supports_feature(sockets_metadata, "sid1", "bool_feature") is True + + # Non-boolean values should return False + assert supports_feature(sockets_metadata, "sid1", "string_feature") is False + assert supports_feature(sockets_metadata, "sid1", "none_feature") is False + assert supports_feature(sockets_metadata, "sid1", "missing_feature") is False + + def test_supports_feature_with_missing_connection(self): + """Test supports_feature with missing connection.""" + sockets_metadata = {} + assert supports_feature(sockets_metadata, "missing_sid", "any_feature") is False + + def test_empty_feature_flags_dict(self): + """Test connection with empty feature flags dictionary.""" + sockets_metadata = {"sid1": {"feature_flags": {}}} + result = get_connection_feature(sockets_metadata, "sid1", "any_feature") + assert result is False + assert supports_feature(sockets_metadata, "sid1", "any_feature") is False diff --git a/tests-unit/folder_paths_test/__init__.py b/tests-unit/folder_paths_test/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tests-unit/folder_paths_test/filter_by_content_types_test.py b/tests-unit/folder_paths_test/filter_by_content_types_test.py new file mode 100644 index 0000000000000000000000000000000000000000..683f9fc113a842cc3d36ff955aeb61d2ad6ff60b --- /dev/null +++ b/tests-unit/folder_paths_test/filter_by_content_types_test.py @@ -0,0 +1,66 @@ +import pytest +import os +import tempfile +from folder_paths import filter_files_content_types, extension_mimetypes_cache +from unittest.mock import patch + + +@pytest.fixture(scope="module") +def file_extensions(): + return { + 'image': ['gif', 'heif', 'ico', 'jpeg', 'jpg', 'png', 'pnm', 'ppm', 'svg', 'tiff', 'webp', 'xbm', 'xpm'], + 'audio': ['aif', 'aifc', 'aiff', 'au', 'flac', 'm4a', 'mp2', 'mp3', 'ogg', 'snd', 'wav'], + 'video': ['avi', 'm2v', 'm4v', 'mkv', 'mov', 'mp4', 'mpeg', 'mpg', 'ogv', 'qt', 'webm', 'wmv'], + 'model': ['gltf', 'glb', 'obj', 'fbx', 'stl'] + } + + +@pytest.fixture(scope="module") +def mock_dir(file_extensions): + with tempfile.TemporaryDirectory() as directory: + for content_type, extensions in file_extensions.items(): + for extension in extensions: + with open(f"{directory}/sample_{content_type}.{extension}", "w") as f: + f.write(f"Sample {content_type} file in {extension} format") + yield directory + + +@pytest.fixture +def patched_mimetype_cache(file_extensions): + # Mock model file extensions since they may not be in the test-runner system's mimetype cache + new_cache = extension_mimetypes_cache.copy() + for extension in file_extensions["model"]: + new_cache[extension] = "model" + + with patch("folder_paths.extension_mimetypes_cache", new_cache): + yield + + +def test_categorizes_all_correctly(mock_dir, file_extensions, patched_mimetype_cache): + files = os.listdir(mock_dir) + for content_type, extensions in file_extensions.items(): + filtered_files = filter_files_content_types(files, [content_type]) + for extension in extensions: + assert f"sample_{content_type}.{extension}" in filtered_files + + +def test_categorizes_all_uniquely(mock_dir, file_extensions, patched_mimetype_cache): + files = os.listdir(mock_dir) + for content_type, extensions in file_extensions.items(): + filtered_files = filter_files_content_types(files, [content_type]) + assert len(filtered_files) == len(extensions) + + +def test_handles_bad_extensions(): + files = ["file1.txt", "file2.py", "file3.example", "file4.pdf", "file5.ini", "file6.doc", "file7.md"] + assert filter_files_content_types(files, ["image", "audio", "video"]) == [] + + +def test_handles_no_extension(): + files = ["file1", "file2", "file3", "file4", "file5", "file6", "file7"] + assert filter_files_content_types(files, ["image", "audio", "video"]) == [] + + +def test_handles_no_files(): + files = [] + assert filter_files_content_types(files, ["image", "audio", "video"]) == [] diff --git a/tests-unit/folder_paths_test/misc_test.py b/tests-unit/folder_paths_test/misc_test.py new file mode 100644 index 0000000000000000000000000000000000000000..fcf66745337a09d63e05ed8bbbf38aaccf5d4143 --- /dev/null +++ b/tests-unit/folder_paths_test/misc_test.py @@ -0,0 +1,51 @@ +import pytest +import os +import tempfile +from folder_paths import get_input_subfolders, set_input_directory + +@pytest.fixture(scope="module") +def mock_folder_structure(): + with tempfile.TemporaryDirectory() as temp_dir: + # Create a nested folder structure + folders = [ + "folder1", + "folder1/subfolder1", + "folder1/subfolder2", + "folder2", + "folder2/deep", + "folder2/deep/nested", + "empty_folder" + ] + + # Create the folders + for folder in folders: + os.makedirs(os.path.join(temp_dir, folder)) + + # Add some files to test they're not included + with open(os.path.join(temp_dir, "root_file.txt"), "w") as f: + f.write("test") + with open(os.path.join(temp_dir, "folder1", "test.txt"), "w") as f: + f.write("test") + + set_input_directory(temp_dir) + yield temp_dir + + +def test_gets_all_folders(mock_folder_structure): + folders = get_input_subfolders() + expected = ["folder1", "folder1/subfolder1", "folder1/subfolder2", + "folder2", "folder2/deep", "folder2/deep/nested", "empty_folder"] + assert sorted(folders) == sorted(expected) + + +def test_handles_nonexistent_input_directory(): + with tempfile.TemporaryDirectory() as temp_dir: + nonexistent = os.path.join(temp_dir, "nonexistent") + set_input_directory(nonexistent) + assert get_input_subfolders() == [] + + +def test_empty_input_directory(): + with tempfile.TemporaryDirectory() as temp_dir: + set_input_directory(temp_dir) + assert get_input_subfolders() == [] # Empty since we don't include root diff --git a/tests-unit/prompt_server_test/__init__.py b/tests-unit/prompt_server_test/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tests-unit/prompt_server_test/user_manager_test.py b/tests-unit/prompt_server_test/user_manager_test.py new file mode 100644 index 0000000000000000000000000000000000000000..b939d8e68f821077ca2def1d630f5bd944db8293 --- /dev/null +++ b/tests-unit/prompt_server_test/user_manager_test.py @@ -0,0 +1,289 @@ +import pytest +import os +from aiohttp import web +from app.user_manager import UserManager +from unittest.mock import patch + +pytestmark = ( + pytest.mark.asyncio +) # This applies the asyncio mark to all test functions in the module + + +@pytest.fixture +def user_manager(tmp_path): + um = UserManager() + um.get_request_user_filepath = lambda req, file, **kwargs: os.path.join( + tmp_path, file + ) if file else tmp_path + return um + + +@pytest.fixture +def app(user_manager): + app = web.Application() + routes = web.RouteTableDef() + user_manager.add_routes(routes) + app.add_routes(routes) + return app + + +async def test_listuserdata_empty_directory(aiohttp_client, app, tmp_path): + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=test_dir") + assert resp.status == 404 + + +async def test_listuserdata_with_files(aiohttp_client, app, tmp_path): + os.makedirs(tmp_path / "test_dir") + with open(tmp_path / "test_dir" / "file1.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=test_dir") + assert resp.status == 200 + assert await resp.json() == ["file1.txt"] + + +async def test_listuserdata_recursive(aiohttp_client, app, tmp_path): + os.makedirs(tmp_path / "test_dir" / "subdir") + with open(tmp_path / "test_dir" / "file1.txt", "w") as f: + f.write("test content") + with open(tmp_path / "test_dir" / "subdir" / "file2.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=test_dir&recurse=true") + assert resp.status == 200 + assert set(await resp.json()) == {"file1.txt", "subdir/file2.txt"} + + +async def test_listuserdata_full_info(aiohttp_client, app, tmp_path): + os.makedirs(tmp_path / "test_dir") + with open(tmp_path / "test_dir" / "file1.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=test_dir&full_info=true") + assert resp.status == 200 + result = await resp.json() + assert len(result) == 1 + assert result[0]["path"] == "file1.txt" + assert "size" in result[0] + assert "modified" in result[0] + + +async def test_listuserdata_split_path(aiohttp_client, app, tmp_path): + os.makedirs(tmp_path / "test_dir" / "subdir") + with open(tmp_path / "test_dir" / "subdir" / "file1.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=test_dir&recurse=true&split=true") + assert resp.status == 200 + assert await resp.json() == [["subdir/file1.txt", "subdir", "file1.txt"]] + + +async def test_listuserdata_invalid_directory(aiohttp_client, app): + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=") + assert resp.status == 400 + + +async def test_listuserdata_normalized_separator(aiohttp_client, app, tmp_path): + os_sep = "\\" + with patch("os.sep", os_sep): + with patch("os.path.sep", os_sep): + os.makedirs(tmp_path / "test_dir" / "subdir") + with open(tmp_path / "test_dir" / "subdir" / "file1.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.get("/userdata?dir=test_dir&recurse=true") + assert resp.status == 200 + result = await resp.json() + assert len(result) == 1 + assert "/" in result[0] # Ensure forward slash is used + assert "\\" not in result[0] # Ensure backslash is not present + assert result[0] == "subdir/file1.txt" + + # Test with full_info + resp = await client.get( + "/userdata?dir=test_dir&recurse=true&full_info=true" + ) + assert resp.status == 200 + result = await resp.json() + assert len(result) == 1 + assert "/" in result[0]["path"] # Ensure forward slash is used + assert "\\" not in result[0]["path"] # Ensure backslash is not present + assert result[0]["path"] == "subdir/file1.txt" + + +async def test_post_userdata_new_file(aiohttp_client, app, tmp_path): + client = await aiohttp_client(app) + content = b"test content" + resp = await client.post("/userdata/test.txt", data=content) + + assert resp.status == 200 + assert await resp.text() == '"test.txt"' + + # Verify file was created with correct content + with open(tmp_path / "test.txt", "rb") as f: + assert f.read() == content + + +async def test_post_userdata_overwrite_existing(aiohttp_client, app, tmp_path): + # Create initial file + with open(tmp_path / "test.txt", "w") as f: + f.write("initial content") + + client = await aiohttp_client(app) + new_content = b"updated content" + resp = await client.post("/userdata/test.txt", data=new_content) + + assert resp.status == 200 + assert await resp.text() == '"test.txt"' + + # Verify file was overwritten + with open(tmp_path / "test.txt", "rb") as f: + assert f.read() == new_content + + +async def test_post_userdata_no_overwrite(aiohttp_client, app, tmp_path): + # Create initial file + with open(tmp_path / "test.txt", "w") as f: + f.write("initial content") + + client = await aiohttp_client(app) + resp = await client.post("/userdata/test.txt?overwrite=false", data=b"new content") + + assert resp.status == 409 + + # Verify original content unchanged + with open(tmp_path / "test.txt", "r") as f: + assert f.read() == "initial content" + + +async def test_post_userdata_full_info(aiohttp_client, app, tmp_path): + client = await aiohttp_client(app) + content = b"test content" + resp = await client.post("/userdata/test.txt?full_info=true", data=content) + + assert resp.status == 200 + result = await resp.json() + assert result["path"] == "test.txt" + assert result["size"] == len(content) + assert "modified" in result + + +async def test_move_userdata(aiohttp_client, app, tmp_path): + # Create initial file + with open(tmp_path / "source.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.post("/userdata/source.txt/move/dest.txt") + + assert resp.status == 200 + assert await resp.text() == '"dest.txt"' + + # Verify file was moved + assert not os.path.exists(tmp_path / "source.txt") + with open(tmp_path / "dest.txt", "r") as f: + assert f.read() == "test content" + + +async def test_move_userdata_no_overwrite(aiohttp_client, app, tmp_path): + # Create source and destination files + with open(tmp_path / "source.txt", "w") as f: + f.write("source content") + with open(tmp_path / "dest.txt", "w") as f: + f.write("destination content") + + client = await aiohttp_client(app) + resp = await client.post("/userdata/source.txt/move/dest.txt?overwrite=false") + + assert resp.status == 409 + + # Verify files remain unchanged + with open(tmp_path / "source.txt", "r") as f: + assert f.read() == "source content" + with open(tmp_path / "dest.txt", "r") as f: + assert f.read() == "destination content" + + +async def test_move_userdata_full_info(aiohttp_client, app, tmp_path): + # Create initial file + with open(tmp_path / "source.txt", "w") as f: + f.write("test content") + + client = await aiohttp_client(app) + resp = await client.post("/userdata/source.txt/move/dest.txt?full_info=true") + + assert resp.status == 200 + result = await resp.json() + assert result["path"] == "dest.txt" + assert result["size"] == len("test content") + assert "modified" in result + + # Verify file was moved + assert not os.path.exists(tmp_path / "source.txt") + with open(tmp_path / "dest.txt", "r") as f: + assert f.read() == "test content" + + +async def test_listuserdata_v2_empty_root(aiohttp_client, app): + client = await aiohttp_client(app) + resp = await client.get("/v2/userdata") + assert resp.status == 200 + assert await resp.json() == [] + + +async def test_listuserdata_v2_nonexistent_subdirectory(aiohttp_client, app): + client = await aiohttp_client(app) + resp = await client.get("/v2/userdata?path=does_not_exist") + assert resp.status == 404 + + +async def test_listuserdata_v2_default(aiohttp_client, app, tmp_path): + os.makedirs(tmp_path / "test_dir" / "subdir") + (tmp_path / "test_dir" / "file1.txt").write_text("content") + (tmp_path / "test_dir" / "subdir" / "file2.txt").write_text("content") + + client = await aiohttp_client(app) + resp = await client.get("/v2/userdata?path=test_dir") + assert resp.status == 200 + data = await resp.json() + file_paths = {item["path"] for item in data if item["type"] == "file"} + assert file_paths == {"test_dir/file1.txt", "test_dir/subdir/file2.txt"} + + +async def test_listuserdata_v2_normalized_separators(aiohttp_client, app, tmp_path, monkeypatch): + # Force backslash as os separator + monkeypatch.setattr(os, 'sep', '\\') + monkeypatch.setattr(os.path, 'sep', '\\') + os.makedirs(tmp_path / "test_dir" / "subdir") + (tmp_path / "test_dir" / "subdir" / "file1.txt").write_text("x") + + client = await aiohttp_client(app) + resp = await client.get("/v2/userdata?path=test_dir") + assert resp.status == 200 + data = await resp.json() + for item in data: + assert "/" in item["path"] + assert "\\" not in item["path"]\ + +async def test_listuserdata_v2_url_encoded_path(aiohttp_client, app, tmp_path): + # Create a directory with a space in its name and a file inside + os.makedirs(tmp_path / "my dir") + (tmp_path / "my dir" / "file.txt").write_text("content") + + client = await aiohttp_client(app) + # Use URL-encoded space in path parameter + resp = await client.get("/v2/userdata?path=my%20dir&recurse=false") + assert resp.status == 200 + data = await resp.json() + assert len(data) == 1 + entry = data[0] + assert entry["name"] == "file.txt" + # Ensure the path is correctly decoded and uses forward slash + assert entry["path"] == "my dir/file.txt" diff --git a/tests-unit/requirements.txt b/tests-unit/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a6790ee07cdcc37515b9afbd649da0c99d837ca --- /dev/null +++ b/tests-unit/requirements.txt @@ -0,0 +1,4 @@ +pytest>=7.8.0 +pytest-aiohttp +pytest-asyncio +websocket-client diff --git a/tests-unit/server/utils/file_operations_test.py b/tests-unit/server/utils/file_operations_test.py new file mode 100644 index 0000000000000000000000000000000000000000..2a45cc47a1447e6c2ace4f40e6543b2b7c5e4fcf --- /dev/null +++ b/tests-unit/server/utils/file_operations_test.py @@ -0,0 +1,42 @@ +import pytest +from typing import List +from api_server.utils.file_operations import FileSystemOperations, FileSystemItem, is_file_info + +@pytest.fixture +def temp_directory(tmp_path): + # Create a temporary directory structure + dir1 = tmp_path / "dir1" + dir2 = tmp_path / "dir2" + dir1.mkdir() + dir2.mkdir() + (dir1 / "file1.txt").write_text("content1") + (dir2 / "file2.txt").write_text("content2") + (tmp_path / "file3.txt").write_text("content3") + return tmp_path + +def test_walk_directory(temp_directory): + result: List[FileSystemItem] = FileSystemOperations.walk_directory(str(temp_directory)) + + assert len(result) == 5 # 2 directories and 3 files + + files = [item for item in result if item['type'] == 'file'] + dirs = [item for item in result if item['type'] == 'directory'] + + assert len(files) == 3 + assert len(dirs) == 2 + + file_names = {file['name'] for file in files} + assert file_names == {'file1.txt', 'file2.txt', 'file3.txt'} + + dir_names = {dir['name'] for dir in dirs} + assert dir_names == {'dir1', 'dir2'} + +def test_walk_directory_empty(tmp_path): + result = FileSystemOperations.walk_directory(str(tmp_path)) + assert len(result) == 0 + +def test_walk_directory_file_size(temp_directory): + result: List[FileSystemItem] = FileSystemOperations.walk_directory(str(temp_directory)) + files = [item for item in result if is_file_info(item)] + for file in files: + assert file['size'] > 0 # Assuming all files have some content diff --git a/tests-unit/server_test/test_cache_control.py b/tests-unit/server_test/test_cache_control.py new file mode 100644 index 0000000000000000000000000000000000000000..8de59125a74af40eb738d5ac841d4af4be1c355e --- /dev/null +++ b/tests-unit/server_test/test_cache_control.py @@ -0,0 +1,255 @@ +"""Tests for server cache control middleware""" + +import pytest +from aiohttp import web +from aiohttp.test_utils import make_mocked_request +from typing import Dict, Any + +from middleware.cache_middleware import cache_control, ONE_HOUR, ONE_DAY, IMG_EXTENSIONS + +pytestmark = pytest.mark.asyncio # Apply asyncio mark to all tests + +# Test configuration data +CACHE_SCENARIOS = [ + # Image file scenarios + { + "name": "image_200_status", + "path": "/test.jpg", + "status": 200, + "expected_cache": f"public, max-age={ONE_DAY}", + "should_have_header": True, + }, + { + "name": "image_404_status", + "path": "/missing.jpg", + "status": 404, + "expected_cache": f"public, max-age={ONE_HOUR}", + "should_have_header": True, + }, + # JavaScript/CSS scenarios + { + "name": "js_no_cache", + "path": "/script.js", + "status": 200, + "expected_cache": "no-cache", + "should_have_header": True, + }, + { + "name": "css_no_cache", + "path": "/styles.css", + "status": 200, + "expected_cache": "no-cache", + "should_have_header": True, + }, + { + "name": "index_json_no_cache", + "path": "/api/index.json", + "status": 200, + "expected_cache": "no-cache", + "should_have_header": True, + }, + # Non-matching files + { + "name": "html_no_header", + "path": "/index.html", + "status": 200, + "expected_cache": None, + "should_have_header": False, + }, + { + "name": "txt_no_header", + "path": "/data.txt", + "status": 200, + "expected_cache": None, + "should_have_header": False, + }, + { + "name": "api_endpoint_no_header", + "path": "/api/endpoint", + "status": 200, + "expected_cache": None, + "should_have_header": False, + }, + { + "name": "pdf_no_header", + "path": "/file.pdf", + "status": 200, + "expected_cache": None, + "should_have_header": False, + }, +] + +# Status code scenarios for images +IMAGE_STATUS_SCENARIOS = [ + # Success statuses get long cache + {"status": 200, "expected": f"public, max-age={ONE_DAY}"}, + {"status": 201, "expected": f"public, max-age={ONE_DAY}"}, + {"status": 202, "expected": f"public, max-age={ONE_DAY}"}, + {"status": 204, "expected": f"public, max-age={ONE_DAY}"}, + {"status": 206, "expected": f"public, max-age={ONE_DAY}"}, + # Permanent redirects get long cache + {"status": 301, "expected": f"public, max-age={ONE_DAY}"}, + {"status": 308, "expected": f"public, max-age={ONE_DAY}"}, + # Temporary redirects get no cache + {"status": 302, "expected": "no-cache"}, + {"status": 303, "expected": "no-cache"}, + {"status": 307, "expected": "no-cache"}, + # 404 gets short cache + {"status": 404, "expected": f"public, max-age={ONE_HOUR}"}, +] + +# Case sensitivity test paths +CASE_SENSITIVITY_PATHS = ["/image.JPG", "/photo.PNG", "/pic.JpEg"] + +# Edge case test paths +EDGE_CASE_PATHS = [ + { + "name": "query_strings_ignored", + "path": "/image.jpg?v=123&size=large", + "expected": f"public, max-age={ONE_DAY}", + }, + { + "name": "multiple_dots_in_path", + "path": "/image.min.jpg", + "expected": f"public, max-age={ONE_DAY}", + }, + { + "name": "nested_paths_with_images", + "path": "/static/images/photo.jpg", + "expected": f"public, max-age={ONE_DAY}", + }, +] + + +class TestCacheControl: + """Test cache control middleware functionality""" + + @pytest.fixture + def status_handler_factory(self): + """Create a factory for handlers that return specific status codes""" + + def factory(status: int, headers: Dict[str, str] = None): + async def handler(request): + return web.Response(status=status, headers=headers or {}) + + return handler + + return factory + + @pytest.fixture + def mock_handler(self, status_handler_factory): + """Create a mock handler that returns a response with 200 status""" + return status_handler_factory(200) + + @pytest.fixture + def handler_with_existing_cache(self, status_handler_factory): + """Create a handler that returns response with existing Cache-Control header""" + return status_handler_factory(200, {"Cache-Control": "max-age=3600"}) + + async def assert_cache_header( + self, + response: web.Response, + expected_cache: str = None, + should_have_header: bool = True, + ): + """Helper to assert cache control headers""" + if should_have_header: + assert "Cache-Control" in response.headers + if expected_cache: + assert response.headers["Cache-Control"] == expected_cache + else: + assert "Cache-Control" not in response.headers + + # Parameterized tests + @pytest.mark.parametrize("scenario", CACHE_SCENARIOS, ids=lambda x: x["name"]) + async def test_cache_control_scenarios( + self, scenario: Dict[str, Any], status_handler_factory + ): + """Test various cache control scenarios""" + handler = status_handler_factory(scenario["status"]) + request = make_mocked_request("GET", scenario["path"]) + response = await cache_control(request, handler) + + assert response.status == scenario["status"] + await self.assert_cache_header( + response, scenario["expected_cache"], scenario["should_have_header"] + ) + + @pytest.mark.parametrize("ext", IMG_EXTENSIONS) + async def test_all_image_extensions(self, ext: str, mock_handler): + """Test all defined image extensions are handled correctly""" + request = make_mocked_request("GET", f"/image{ext}") + response = await cache_control(request, mock_handler) + + assert response.status == 200 + assert "Cache-Control" in response.headers + assert response.headers["Cache-Control"] == f"public, max-age={ONE_DAY}" + + @pytest.mark.parametrize( + "status_scenario", IMAGE_STATUS_SCENARIOS, ids=lambda x: f"status_{x['status']}" + ) + async def test_image_status_codes( + self, status_scenario: Dict[str, Any], status_handler_factory + ): + """Test different status codes for image requests""" + handler = status_handler_factory(status_scenario["status"]) + request = make_mocked_request("GET", "/image.jpg") + response = await cache_control(request, handler) + + assert response.status == status_scenario["status"] + assert "Cache-Control" in response.headers + assert response.headers["Cache-Control"] == status_scenario["expected"] + + @pytest.mark.parametrize("path", CASE_SENSITIVITY_PATHS) + async def test_case_insensitive_image_extension(self, path: str, mock_handler): + """Test that image extensions are matched case-insensitively""" + request = make_mocked_request("GET", path) + response = await cache_control(request, mock_handler) + + assert "Cache-Control" in response.headers + assert response.headers["Cache-Control"] == f"public, max-age={ONE_DAY}" + + @pytest.mark.parametrize("edge_case", EDGE_CASE_PATHS, ids=lambda x: x["name"]) + async def test_edge_cases(self, edge_case: Dict[str, str], mock_handler): + """Test edge cases like query strings, nested paths, etc.""" + request = make_mocked_request("GET", edge_case["path"]) + response = await cache_control(request, mock_handler) + + assert "Cache-Control" in response.headers + assert response.headers["Cache-Control"] == edge_case["expected"] + + # Header preservation tests (special cases not covered by parameterization) + async def test_js_preserves_existing_headers(self, handler_with_existing_cache): + """Test that .js files preserve existing Cache-Control headers""" + request = make_mocked_request("GET", "/script.js") + response = await cache_control(request, handler_with_existing_cache) + + # setdefault should preserve existing header + assert response.headers["Cache-Control"] == "max-age=3600" + + async def test_css_preserves_existing_headers(self, handler_with_existing_cache): + """Test that .css files preserve existing Cache-Control headers""" + request = make_mocked_request("GET", "/styles.css") + response = await cache_control(request, handler_with_existing_cache) + + # setdefault should preserve existing header + assert response.headers["Cache-Control"] == "max-age=3600" + + async def test_image_preserves_existing_headers(self, status_handler_factory): + """Test that image cache headers preserve existing Cache-Control""" + handler = status_handler_factory(200, {"Cache-Control": "private, no-cache"}) + request = make_mocked_request("GET", "/image.jpg") + response = await cache_control(request, handler) + + # setdefault should preserve existing header + assert response.headers["Cache-Control"] == "private, no-cache" + + async def test_304_not_modified_inherits_cache(self, status_handler_factory): + """Test that 304 Not Modified doesn't set cache headers for images""" + handler = status_handler_factory(304, {"Cache-Control": "max-age=7200"}) + request = make_mocked_request("GET", "/not-modified.jpg") + response = await cache_control(request, handler) + + assert response.status == 304 + # Should preserve existing cache header, not override + assert response.headers["Cache-Control"] == "max-age=7200" diff --git a/tests-unit/utils/extra_config_test.py b/tests-unit/utils/extra_config_test.py new file mode 100644 index 0000000000000000000000000000000000000000..eae1aa3d3ab8c57d668acf4971b4c886d7dd417f --- /dev/null +++ b/tests-unit/utils/extra_config_test.py @@ -0,0 +1,303 @@ +import pytest +import yaml +import os +import sys +from unittest.mock import Mock, patch, mock_open + +from utils.extra_config import load_extra_path_config +import folder_paths + + +@pytest.fixture() +def clear_folder_paths(): + # Clear the global dictionary before each test to ensure isolation + original = folder_paths.folder_names_and_paths.copy() + folder_paths.folder_names_and_paths.clear() + yield + folder_paths.folder_names_and_paths = original + + +@pytest.fixture +def mock_yaml_content(): + return { + 'test_config': { + 'base_path': '~/App/', + 'checkpoints': 'subfolder1', + } + } + + +@pytest.fixture +def mock_expanded_home(): + return '/home/user' + + +@pytest.fixture +def yaml_config_with_appdata(): + return """ + test_config: + base_path: '%APPDATA%/ComfyUI' + checkpoints: 'models/checkpoints' + """ + + +@pytest.fixture +def mock_yaml_content_appdata(yaml_config_with_appdata): + return yaml.safe_load(yaml_config_with_appdata) + + +@pytest.fixture +def mock_expandvars_appdata(): + mock = Mock() + + def expandvars(path): + if '%APPDATA%' in path: + if sys.platform == 'win32': + return path.replace('%APPDATA%', 'C:/Users/TestUser/AppData/Roaming') + else: + return path.replace('%APPDATA%', '/Users/TestUser/AppData/Roaming') + return path + + mock.side_effect = expandvars + return mock + + +@pytest.fixture +def mock_add_model_folder_path(): + return Mock() + + +@pytest.fixture +def mock_expanduser(mock_expanded_home): + def _expanduser(path): + if path.startswith('~/'): + return os.path.join(mock_expanded_home, path[2:]) + return path + return _expanduser + + +@pytest.fixture +def mock_yaml_safe_load(mock_yaml_content): + return Mock(return_value=mock_yaml_content) + + +@patch('builtins.open', new_callable=mock_open, read_data="dummy file content") +def test_load_extra_model_paths_expands_userpath( + mock_file, + monkeypatch, + mock_add_model_folder_path, + mock_expanduser, + mock_yaml_safe_load, + mock_expanded_home +): + # Attach mocks used by load_extra_path_config + monkeypatch.setattr(folder_paths, 'add_model_folder_path', mock_add_model_folder_path) + monkeypatch.setattr(os.path, 'expanduser', mock_expanduser) + monkeypatch.setattr(yaml, 'safe_load', mock_yaml_safe_load) + + dummy_yaml_file_name = 'dummy_path.yaml' + load_extra_path_config(dummy_yaml_file_name) + + expected_calls = [ + ('checkpoints', os.path.join(mock_expanded_home, 'App', 'subfolder1'), False), + ] + + assert mock_add_model_folder_path.call_count == len(expected_calls) + + # Check if add_model_folder_path was called with the correct arguments + for actual_call, expected_call in zip(mock_add_model_folder_path.call_args_list, expected_calls): + assert actual_call.args[0] == expected_call[0] + assert os.path.normpath(actual_call.args[1]) == os.path.normpath(expected_call[1]) # Normalize and check the path to check on multiple OS. + assert actual_call.args[2] == expected_call[2] + + # Check if yaml.safe_load was called + mock_yaml_safe_load.assert_called_once() + + # Check if open was called with the correct file path + mock_file.assert_called_once_with(dummy_yaml_file_name, 'r', encoding='utf-8') + + +@patch('builtins.open', new_callable=mock_open) +def test_load_extra_model_paths_expands_appdata( + mock_file, + monkeypatch, + mock_add_model_folder_path, + mock_expandvars_appdata, + yaml_config_with_appdata, + mock_yaml_content_appdata +): + # Set the mock_file to return yaml with appdata as a variable + mock_file.return_value.read.return_value = yaml_config_with_appdata + + # Attach mocks + monkeypatch.setattr(folder_paths, 'add_model_folder_path', mock_add_model_folder_path) + monkeypatch.setattr(os.path, 'expandvars', mock_expandvars_appdata) + monkeypatch.setattr(yaml, 'safe_load', Mock(return_value=mock_yaml_content_appdata)) + + # Mock expanduser to do nothing (since we're not testing it here) + monkeypatch.setattr(os.path, 'expanduser', lambda x: x) + + dummy_yaml_file_name = 'dummy_path.yaml' + load_extra_path_config(dummy_yaml_file_name) + + if sys.platform == "win32": + expected_base_path = 'C:/Users/TestUser/AppData/Roaming/ComfyUI' + else: + expected_base_path = '/Users/TestUser/AppData/Roaming/ComfyUI' + expected_calls = [ + ('checkpoints', os.path.normpath(os.path.join(expected_base_path, 'models/checkpoints')), False), + ] + + assert mock_add_model_folder_path.call_count == len(expected_calls) + + # Check the base path variable was expanded + for actual_call, expected_call in zip(mock_add_model_folder_path.call_args_list, expected_calls): + assert actual_call.args == expected_call + + # Verify that expandvars was called + assert mock_expandvars_appdata.called + + +@patch("builtins.open", new_callable=mock_open, read_data="dummy yaml content") +@patch("yaml.safe_load") +def test_load_extra_path_config_relative_base_path( + mock_yaml_load, _mock_file, clear_folder_paths, monkeypatch, tmp_path +): + """ + Test that when 'base_path' is a relative path in the YAML, it is joined to the YAML file directory, and then + the items in the config are correctly converted to absolute paths. + """ + sub_folder = "./my_rel_base" + config_data = { + "some_model_folder": { + "base_path": sub_folder, + "is_default": True, + "checkpoints": "checkpoints", + "some_key": "some_value" + } + } + mock_yaml_load.return_value = config_data + + dummy_yaml_name = "dummy_file.yaml" + + def fake_abspath(path): + if path == dummy_yaml_name: + # If it's the YAML path, treat it like it lives in tmp_path + return os.path.join(str(tmp_path), dummy_yaml_name) + return os.path.join(str(tmp_path), path) # Otherwise, do a normal join relative to tmp_path + + def fake_dirname(path): + # We expect path to be the result of fake_abspath(dummy_yaml_name) + if path.endswith(dummy_yaml_name): + return str(tmp_path) + return os.path.dirname(path) + + monkeypatch.setattr(os.path, "abspath", fake_abspath) + monkeypatch.setattr(os.path, "dirname", fake_dirname) + + load_extra_path_config(dummy_yaml_name) + + expected_checkpoints = os.path.abspath(os.path.join(str(tmp_path), "my_rel_base", "checkpoints")) + expected_some_value = os.path.abspath(os.path.join(str(tmp_path), "my_rel_base", "some_value")) + + actual_paths = folder_paths.folder_names_and_paths["checkpoints"][0] + assert len(actual_paths) == 1, "Should have one path added for 'checkpoints'." + assert actual_paths[0] == expected_checkpoints + + actual_paths = folder_paths.folder_names_and_paths["some_key"][0] + assert len(actual_paths) == 1, "Should have one path added for 'some_key'." + assert actual_paths[0] == expected_some_value + + +@patch("builtins.open", new_callable=mock_open, read_data="dummy yaml content") +@patch("yaml.safe_load") +def test_load_extra_path_config_absolute_base_path( + mock_yaml_load, _mock_file, clear_folder_paths, monkeypatch, tmp_path +): + """ + Test that when 'base_path' is an absolute path, each subdirectory is joined with that absolute path, + rather than being relative to the YAML's directory. + """ + abs_base = os.path.join(str(tmp_path), "abs_base") + config_data = { + "some_absolute_folder": { + "base_path": abs_base, # <-- absolute + "is_default": True, + "loras": "loras_folder", + "embeddings": "embeddings_folder" + } + } + mock_yaml_load.return_value = config_data + + dummy_yaml_name = "dummy_abs.yaml" + + def fake_abspath(path): + if path == dummy_yaml_name: + # If it's the YAML path, treat it like it is in tmp_path + return os.path.join(str(tmp_path), dummy_yaml_name) + return path # For absolute base, we just return path directly + + def fake_dirname(path): + return str(tmp_path) if path.endswith(dummy_yaml_name) else os.path.dirname(path) + + monkeypatch.setattr(os.path, "abspath", fake_abspath) + monkeypatch.setattr(os.path, "dirname", fake_dirname) + + load_extra_path_config(dummy_yaml_name) + + # Expect the final paths to be /loras_folder and /embeddings_folder + expected_loras = os.path.join(abs_base, "loras_folder") + expected_embeddings = os.path.join(abs_base, "embeddings_folder") + + actual_loras = folder_paths.folder_names_and_paths["loras"][0] + assert len(actual_loras) == 1, "Should have one path for 'loras'." + assert actual_loras[0] == os.path.abspath(expected_loras) + + actual_embeddings = folder_paths.folder_names_and_paths["embeddings"][0] + assert len(actual_embeddings) == 1, "Should have one path for 'embeddings'." + assert actual_embeddings[0] == os.path.abspath(expected_embeddings) + + +@patch("builtins.open", new_callable=mock_open, read_data="dummy yaml content") +@patch("yaml.safe_load") +def test_load_extra_path_config_no_base_path( + mock_yaml_load, _mock_file, clear_folder_paths, monkeypatch, tmp_path +): + """ + Test that if 'base_path' is not present, each path is joined + with the directory of the YAML file (unless it's already absolute). + """ + config_data = { + "some_folder_without_base": { + "is_default": True, + "text_encoders": "clip", + "diffusion_models": "unet" + } + } + mock_yaml_load.return_value = config_data + + dummy_yaml_name = "dummy_no_base.yaml" + + def fake_abspath(path): + if path == dummy_yaml_name: + return os.path.join(str(tmp_path), dummy_yaml_name) + return os.path.join(str(tmp_path), path) + + def fake_dirname(path): + return str(tmp_path) if path.endswith(dummy_yaml_name) else os.path.dirname(path) + + monkeypatch.setattr(os.path, "abspath", fake_abspath) + monkeypatch.setattr(os.path, "dirname", fake_dirname) + + load_extra_path_config(dummy_yaml_name) + + expected_clip = os.path.join(str(tmp_path), "clip") + expected_unet = os.path.join(str(tmp_path), "unet") + + actual_text_encoders = folder_paths.folder_names_and_paths["text_encoders"][0] + assert len(actual_text_encoders) == 1, "Should have one path for 'text_encoders'." + assert actual_text_encoders[0] == os.path.abspath(expected_clip) + + actual_diffusion = folder_paths.folder_names_and_paths["diffusion_models"][0] + assert len(actual_diffusion) == 1, "Should have one path for 'diffusion_models'." + assert actual_diffusion[0] == os.path.abspath(expected_unet) diff --git a/tests-unit/utils/json_util_test.py b/tests-unit/utils/json_util_test.py new file mode 100644 index 0000000000000000000000000000000000000000..d3089d8d184533cf7510ed0db14cfaf0644c52cf --- /dev/null +++ b/tests-unit/utils/json_util_test.py @@ -0,0 +1,71 @@ +from utils.json_util import merge_json_recursive + + +def test_merge_simple_dicts(): + base = {"a": 1, "b": 2} + update = {"b": 3, "c": 4} + expected = {"a": 1, "b": 3, "c": 4} + assert merge_json_recursive(base, update) == expected + + +def test_merge_nested_dicts(): + base = {"a": {"x": 1, "y": 2}, "b": 3} + update = {"a": {"y": 4, "z": 5}} + expected = {"a": {"x": 1, "y": 4, "z": 5}, "b": 3} + assert merge_json_recursive(base, update) == expected + + +def test_merge_lists(): + base = {"a": [1, 2], "b": 3} + update = {"a": [3, 4]} + expected = {"a": [1, 2, 3, 4], "b": 3} + assert merge_json_recursive(base, update) == expected + + +def test_merge_nested_lists(): + base = {"a": {"x": [1, 2]}} + update = {"a": {"x": [3, 4]}} + expected = {"a": {"x": [1, 2, 3, 4]}} + assert merge_json_recursive(base, update) == expected + + +def test_merge_mixed_types(): + base = {"a": [1, 2], "b": {"x": 1}} + update = {"a": [3], "b": {"y": 2}} + expected = {"a": [1, 2, 3], "b": {"x": 1, "y": 2}} + assert merge_json_recursive(base, update) == expected + + +def test_merge_overwrite_non_dict(): + base = {"a": 1} + update = {"a": {"x": 2}} + expected = {"a": {"x": 2}} + assert merge_json_recursive(base, update) == expected + + +def test_merge_empty_dicts(): + base = {} + update = {"a": 1} + expected = {"a": 1} + assert merge_json_recursive(base, update) == expected + + +def test_merge_none_values(): + base = {"a": None} + update = {"a": {"x": 1}} + expected = {"a": {"x": 1}} + assert merge_json_recursive(base, update) == expected + + +def test_merge_different_types(): + base = {"a": [1, 2]} + update = {"a": "string"} + expected = {"a": "string"} + assert merge_json_recursive(base, update) == expected + + +def test_merge_complex_nested(): + base = {"a": [1, 2], "b": {"x": [3, 4], "y": {"p": 1}}} + update = {"a": [5], "b": {"x": [6], "y": {"q": 2}}} + expected = {"a": [1, 2, 5], "b": {"x": [3, 4, 6], "y": {"p": 1, "q": 2}}} + assert merge_json_recursive(base, update) == expected diff --git a/tests-unit/websocket_feature_flags_test.py b/tests-unit/websocket_feature_flags_test.py new file mode 100644 index 0000000000000000000000000000000000000000..e93b2e1dde81d9664ed9505ee14aa2d7d994a95d --- /dev/null +++ b/tests-unit/websocket_feature_flags_test.py @@ -0,0 +1,77 @@ +"""Simplified tests for WebSocket feature flags functionality.""" +from comfy_api import feature_flags + + +class TestWebSocketFeatureFlags: + """Test suite for WebSocket feature flags integration.""" + + def test_server_feature_flags_response(self): + """Test server feature flags are properly formatted.""" + features = feature_flags.get_server_features() + + # Check expected server features + assert "supports_preview_metadata" in features + assert features["supports_preview_metadata"] is True + assert "max_upload_size" in features + assert isinstance(features["max_upload_size"], (int, float)) + + def test_progress_py_checks_feature_flags(self): + """Test that progress.py checks feature flags before sending metadata.""" + # This simulates the check in progress.py + client_id = "test_client" + sockets_metadata = {"test_client": {"feature_flags": {}}} + + # The actual check would be in progress.py + supports_metadata = feature_flags.supports_feature( + sockets_metadata, client_id, "supports_preview_metadata" + ) + + assert supports_metadata is False + + def test_multiple_clients_different_features(self): + """Test handling multiple clients with different feature support.""" + sockets_metadata = { + "modern_client": { + "feature_flags": {"supports_preview_metadata": True} + }, + "legacy_client": { + "feature_flags": {} + } + } + + # Check modern client + assert feature_flags.supports_feature( + sockets_metadata, "modern_client", "supports_preview_metadata" + ) is True + + # Check legacy client + assert feature_flags.supports_feature( + sockets_metadata, "legacy_client", "supports_preview_metadata" + ) is False + + def test_feature_negotiation_message_format(self): + """Test the format of feature negotiation messages.""" + # Client message format + client_message = { + "type": "feature_flags", + "data": { + "supports_preview_metadata": True, + "api_version": "1.0.0" + } + } + + # Verify structure + assert client_message["type"] == "feature_flags" + assert "supports_preview_metadata" in client_message["data"] + + # Server response format (what would be sent) + server_features = feature_flags.get_server_features() + server_message = { + "type": "feature_flags", + "data": server_features + } + + # Verify structure + assert server_message["type"] == "feature_flags" + assert "supports_preview_metadata" in server_message["data"] + assert server_message["data"]["supports_preview_metadata"] is True diff --git a/tests/README.md b/tests/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2005fd45b2bbd249fb7f1dfff789b2ae236568ba --- /dev/null +++ b/tests/README.md @@ -0,0 +1,29 @@ +# Automated Testing + +## Running tests locally + +Additional requirements for running tests: +``` +pip install pytest +pip install websocket-client==1.6.1 +opencv-python==4.6.0.66 +scikit-image==0.21.0 +``` +Run inference tests: +``` +pytest tests/inference +``` + +## Quality regression test +Compares images in 2 directories to ensure they are the same + +1) Run an inference test to save a directory of "ground truth" images +``` + pytest tests/inference --output_dir tests/inference/baseline +``` +2) Make code edits + +3) Run inference and quality comparison tests +``` +pytest +``` \ No newline at end of file diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tests/compare/conftest.py b/tests/compare/conftest.py new file mode 100644 index 0000000000000000000000000000000000000000..dd5078c9e6e432c7de2462c5641068bfa8e0aaee --- /dev/null +++ b/tests/compare/conftest.py @@ -0,0 +1,41 @@ +import os +import pytest + +# Command line arguments for pytest +def pytest_addoption(parser): + parser.addoption('--baseline_dir', action="store", default='tests/inference/baseline', help='Directory for ground-truth images') + parser.addoption('--test_dir', action="store", default='tests/inference/samples', help='Directory for images to test') + parser.addoption('--metrics_file', action="store", default='tests/metrics.md', help='Output file for metrics') + parser.addoption('--img_output_dir', action="store", default='tests/compare/samples', help='Output directory for diff metric images') + +# This initializes args at the beginning of the test session +@pytest.fixture(scope="session", autouse=True) +def args_pytest(pytestconfig): + args = {} + args['baseline_dir'] = pytestconfig.getoption('baseline_dir') + args['test_dir'] = pytestconfig.getoption('test_dir') + args['metrics_file'] = pytestconfig.getoption('metrics_file') + args['img_output_dir'] = pytestconfig.getoption('img_output_dir') + + # Initialize metrics file + with open(args['metrics_file'], 'a') as f: + # if file is empty, write header + if os.stat(args['metrics_file']).st_size == 0: + f.write("| date | run | file | status | value | \n") + f.write("| --- | --- | --- | --- | --- | \n") + + return args + + +def gather_file_basenames(directory: str): + files = [] + for file in os.listdir(directory): + if file.endswith(".png"): + files.append(file) + return files + +# Creates the list of baseline file names to use as a fixture +def pytest_generate_tests(metafunc): + if "baseline_fname" in metafunc.fixturenames: + baseline_fnames = gather_file_basenames(metafunc.config.getoption("baseline_dir")) + metafunc.parametrize("baseline_fname", baseline_fnames) diff --git a/tests/compare/test_quality.py b/tests/compare/test_quality.py new file mode 100644 index 0000000000000000000000000000000000000000..01c19054956dde3b611dafe97ad244a3579e0e85 --- /dev/null +++ b/tests/compare/test_quality.py @@ -0,0 +1,195 @@ +import datetime +import numpy as np +import os +from PIL import Image +import pytest +from pytest import fixture +from typing import Tuple, List + +from cv2 import imread, cvtColor, COLOR_BGR2RGB +from skimage.metrics import structural_similarity as ssim + + +""" +This test suite compares images in 2 directories by file name +The directories are specified by the command line arguments --baseline_dir and --test_dir + +""" +# ssim: Structural Similarity Index +# Returns a tuple of (ssim, diff_image) +def ssim_score(img0: np.ndarray, img1: np.ndarray) -> Tuple[float, np.ndarray]: + score, diff = ssim(img0, img1, channel_axis=-1, full=True) + # rescale the difference image to 0-255 range + diff = (diff * 255).astype("uint8") + return score, diff + +# Metrics must return a tuple of (score, diff_image) +METRICS = {"ssim": ssim_score} +METRICS_PASS_THRESHOLD = {"ssim": 0.95} + + +class TestCompareImageMetrics: + @fixture(scope="class") + def test_file_names(self, args_pytest): + test_dir = args_pytest['test_dir'] + fnames = self.gather_file_basenames(test_dir) + yield fnames + del fnames + + @fixture(scope="class", autouse=True) + def teardown(self, args_pytest): + yield + # Runs after all tests are complete + # Aggregate output files into a grid of images + baseline_dir = args_pytest['baseline_dir'] + test_dir = args_pytest['test_dir'] + img_output_dir = args_pytest['img_output_dir'] + metrics_file = args_pytest['metrics_file'] + + grid_dir = os.path.join(img_output_dir, "grid") + os.makedirs(grid_dir, exist_ok=True) + + for metric_dir in METRICS.keys(): + metric_path = os.path.join(img_output_dir, metric_dir) + for file in os.listdir(metric_path): + if file.endswith(".png"): + score = self.lookup_score_from_fname(file, metrics_file) + image_file_list = [] + image_file_list.append([ + os.path.join(baseline_dir, file), + os.path.join(test_dir, file), + os.path.join(metric_path, file) + ]) + # Create grid + image_list = [[Image.open(file) for file in files] for files in image_file_list] + grid = self.image_grid(image_list) + grid.save(os.path.join(grid_dir, f"{metric_dir}_{score:.3f}_{file}")) + + # Tests run for each baseline file name + @fixture() + def fname(self, baseline_fname): + yield baseline_fname + del baseline_fname + + def test_directories_not_empty(self, args_pytest): + baseline_dir = args_pytest['baseline_dir'] + test_dir = args_pytest['test_dir'] + assert len(os.listdir(baseline_dir)) != 0, f"Baseline directory {baseline_dir} is empty" + assert len(os.listdir(test_dir)) != 0, f"Test directory {test_dir} is empty" + + def test_dir_has_all_matching_metadata(self, fname, test_file_names, args_pytest): + # Check that all files in baseline_dir have a file in test_dir with matching metadata + baseline_file_path = os.path.join(args_pytest['baseline_dir'], fname) + file_paths = [os.path.join(args_pytest['test_dir'], f) for f in test_file_names] + file_match = self.find_file_match(baseline_file_path, file_paths) + assert file_match is not None, f"Could not find a file in {args_pytest['test_dir']} with matching metadata to {baseline_file_path}" + + # For a baseline image file, finds the corresponding file name in test_dir and + # compares the images using the metrics in METRICS + @pytest.mark.parametrize("metric", METRICS.keys()) + def test_pipeline_compare( + self, + args_pytest, + fname, + test_file_names, + metric, + ): + baseline_dir = args_pytest['baseline_dir'] + test_dir = args_pytest['test_dir'] + metrics_output_file = args_pytest['metrics_file'] + img_output_dir = args_pytest['img_output_dir'] + + baseline_file_path = os.path.join(baseline_dir, fname) + + # Find file match + file_paths = [os.path.join(test_dir, f) for f in test_file_names] + test_file = self.find_file_match(baseline_file_path, file_paths) + + # Run metrics + sample_baseline = self.read_img(baseline_file_path) + sample_secondary = self.read_img(test_file) + + score, metric_img = METRICS[metric](sample_baseline, sample_secondary) + metric_status = score > METRICS_PASS_THRESHOLD[metric] + + # Save metric values + with open(metrics_output_file, 'a') as f: + run_info = os.path.splitext(fname)[0] + metric_status_str = "PASS ✅" if metric_status else "FAIL ❌" + date_str = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") + f.write(f"| {date_str} | {run_info} | {metric} | {metric_status_str} | {score} | \n") + + # Save metric image + metric_img_dir = os.path.join(img_output_dir, metric) + os.makedirs(metric_img_dir, exist_ok=True) + output_filename = f'{fname}' + Image.fromarray(metric_img).save(os.path.join(metric_img_dir, output_filename)) + + assert score > METRICS_PASS_THRESHOLD[metric] + + def read_img(self, filename: str) -> np.ndarray: + cvImg = imread(filename) + cvImg = cvtColor(cvImg, COLOR_BGR2RGB) + return cvImg + + def image_grid(self, img_list: list[list[Image.Image]]): + # imgs is a 2D list of images + # Assumes the input images are a rectangular grid of equal sized images + rows = len(img_list) + cols = len(img_list[0]) + + w, h = img_list[0][0].size + grid = Image.new('RGB', size=(cols*w, rows*h)) + + for i, row in enumerate(img_list): + for j, img in enumerate(row): + grid.paste(img, box=(j*w, i*h)) + return grid + + def lookup_score_from_fname(self, + fname: str, + metrics_output_file: str + ) -> float: + fname_basestr = os.path.splitext(fname)[0] + with open(metrics_output_file, 'r') as f: + for line in f: + if fname_basestr in line: + score = float(line.split('|')[5]) + return score + raise ValueError(f"Could not find score for {fname} in {metrics_output_file}") + + def gather_file_basenames(self, directory: str): + files = [] + for file in os.listdir(directory): + if file.endswith(".png"): + files.append(file) + return files + + def read_file_prompt(self, fname:str) -> str: + # Read prompt from image file metadata + img = Image.open(fname) + img.load() + return img.info['prompt'] + + def find_file_match(self, baseline_file: str, file_paths: List[str]): + # Find a file in file_paths with matching metadata to baseline_file + baseline_prompt = self.read_file_prompt(baseline_file) + + # Do not match empty prompts + if baseline_prompt is None or baseline_prompt == "": + return None + + # Find file match + # Reorder test_file_names so that the file with matching name is first + # This is an optimization because matching file names are more likely + # to have matching metadata if they were generated with the same script + basename = os.path.basename(baseline_file) + file_path_basenames = [os.path.basename(f) for f in file_paths] + if basename in file_path_basenames: + match_index = file_path_basenames.index(basename) + file_paths.insert(0, file_paths.pop(match_index)) + + for f in file_paths: + test_file_prompt = self.read_file_prompt(f) + if baseline_prompt == test_file_prompt: + return f diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000000000000000000000000000000000000..290e3a5c00e04bf44675c098544591a9a79d2e72 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,42 @@ +import os +import pytest + +# Command line arguments for pytest +def pytest_addoption(parser): + parser.addoption('--output_dir', action="store", default='tests/inference/samples', help='Output directory for generated images') + parser.addoption("--listen", type=str, default="127.0.0.1", metavar="IP", nargs="?", const="0.0.0.0", help="Specify the IP address to listen on (default: 127.0.0.1). If --listen is provided without an argument, it defaults to 0.0.0.0. (listens on all)") + parser.addoption("--port", type=int, default=8188, help="Set the listen port.") + parser.addoption("--skip-timing-checks", action="store_true", default=False, help="Skip timing-related assertions in tests (useful for CI environments with variable performance)") + +# This initializes args at the beginning of the test session +@pytest.fixture(scope="session", autouse=True) +def args_pytest(pytestconfig): + args = {} + args['output_dir'] = pytestconfig.getoption('output_dir') + args['listen'] = pytestconfig.getoption('listen') + args['port'] = pytestconfig.getoption('port') + + os.makedirs(args['output_dir'], exist_ok=True) + + return args + +@pytest.fixture(scope="session") +def skip_timing_checks(pytestconfig): + """Fixture that returns whether timing checks should be skipped.""" + return pytestconfig.getoption("--skip-timing-checks") + +def pytest_collection_modifyitems(items): + # Modifies items so tests run in the correct order + + LAST_TESTS = ['test_quality'] + + # Move the last items to the end + last_items = [] + for test_name in LAST_TESTS: + for item in items.copy(): + print(item.module.__name__, item) # noqa: T201 + if item.module.__name__ == test_name: + last_items.append(item) + items.remove(item) + + items.extend(last_items) diff --git a/tests/execution/test_async_nodes.py b/tests/execution/test_async_nodes.py new file mode 100644 index 0000000000000000000000000000000000000000..c771b4b36d9d678e25a58f061b35f86859f88faa --- /dev/null +++ b/tests/execution/test_async_nodes.py @@ -0,0 +1,427 @@ +import pytest +import time +import torch +import urllib.error +import numpy as np +import subprocess + +from pytest import fixture +from comfy_execution.graph_utils import GraphBuilder +from tests.execution.test_execution import ComfyClient, run_warmup + + +@pytest.mark.execution +class TestAsyncNodes: + @fixture(scope="class", autouse=True, params=[ + (False, 0), + (True, 0), + (True, 100), + ]) + def _server(self, args_pytest, request): + pargs = [ + 'python','main.py', + '--output-directory', args_pytest["output_dir"], + '--listen', args_pytest["listen"], + '--port', str(args_pytest["port"]), + '--extra-model-paths-config', 'tests/execution/extra_model_paths.yaml', + '--cpu', + ] + use_lru, lru_size = request.param + if use_lru: + pargs += ['--cache-lru', str(lru_size)] + # Running server with args: pargs + p = subprocess.Popen(pargs) + yield + p.kill() + torch.cuda.empty_cache() + + @fixture(scope="class", autouse=True) + def shared_client(self, args_pytest, _server): + client = ComfyClient() + n_tries = 5 + for i in range(n_tries): + time.sleep(4) + try: + client.connect(listen=args_pytest["listen"], port=args_pytest["port"]) + except ConnectionRefusedError: + # Retrying... + pass + else: + break + yield client + del client + torch.cuda.empty_cache() + + @fixture + def client(self, shared_client, request): + shared_client.set_test_name(f"async_nodes[{request.node.name}]") + yield shared_client + + @fixture + def builder(self, request): + yield GraphBuilder(prefix=request.node.name) + + # Happy Path Tests + + def test_basic_async_execution(self, client: ComfyClient, builder: GraphBuilder): + """Test that a basic async node executes correctly.""" + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + sleep_node = g.node("TestSleep", value=image.out(0), seconds=0.1) + output = g.node("SaveImage", images=sleep_node.out(0)) + + result = client.run(g) + + # Verify execution completed + assert result.did_run(sleep_node), "Async sleep node should have executed" + assert result.did_run(output), "Output node should have executed" + + # Verify the image passed through correctly + result_images = result.get_images(output) + assert len(result_images) == 1, "Should have 1 image" + assert np.array(result_images[0]).min() == 0 and np.array(result_images[0]).max() == 0, "Image should be black" + + def test_multiple_async_parallel_execution(self, client: ComfyClient, builder: GraphBuilder, skip_timing_checks): + """Test that multiple async nodes execute in parallel.""" + # Warmup execution to ensure server is fully initialized + run_warmup(client) + + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + # Create multiple async sleep nodes with different durations + sleep1 = g.node("TestSleep", value=image.out(0), seconds=0.3) + sleep2 = g.node("TestSleep", value=image.out(0), seconds=0.4) + sleep3 = g.node("TestSleep", value=image.out(0), seconds=0.5) + + # Add outputs for each + _output1 = g.node("PreviewImage", images=sleep1.out(0)) + _output2 = g.node("PreviewImage", images=sleep2.out(0)) + _output3 = g.node("PreviewImage", images=sleep3.out(0)) + + start_time = time.time() + result = client.run(g) + elapsed_time = time.time() - start_time + + # Should take ~0.5s (max duration) not 1.2s (sum of durations) + if not skip_timing_checks: + assert elapsed_time < 0.8, f"Parallel execution took {elapsed_time}s, expected < 0.8s" + + # Verify all nodes executed + assert result.did_run(sleep1) and result.did_run(sleep2) and result.did_run(sleep3) + + def test_async_with_dependencies(self, client: ComfyClient, builder: GraphBuilder): + """Test async nodes with proper dependency handling.""" + g = builder + image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + + # Chain of async operations + sleep1 = g.node("TestSleep", value=image1.out(0), seconds=0.2) + sleep2 = g.node("TestSleep", value=image2.out(0), seconds=0.2) + + # Average depends on both async results + average = g.node("TestVariadicAverage", input1=sleep1.out(0), input2=sleep2.out(0)) + output = g.node("SaveImage", images=average.out(0)) + + result = client.run(g) + + # Verify execution order + assert result.did_run(sleep1) and result.did_run(sleep2) + assert result.did_run(average) and result.did_run(output) + + # Verify averaged result + result_images = result.get_images(output) + avg_value = np.array(result_images[0]).mean() + assert abs(avg_value - 127.5) < 1, f"Average value {avg_value} should be ~127.5" + + def test_async_validate_inputs(self, client: ComfyClient, builder: GraphBuilder): + """Test async VALIDATE_INPUTS function.""" + g = builder + # Create a test node with async validation + validation_node = g.node("TestAsyncValidation", value=5.0, threshold=10.0) + g.node("SaveImage", images=validation_node.out(0)) + + # Should pass validation + result = client.run(g) + assert result.did_run(validation_node) + + # Test validation failure + validation_node.inputs['threshold'] = 3.0 # Will fail since value > threshold + with pytest.raises(urllib.error.HTTPError): + client.run(g) + + def test_async_lazy_evaluation(self, client: ComfyClient, builder: GraphBuilder, skip_timing_checks): + """Test async nodes with lazy evaluation.""" + # Warmup execution to ensure server is fully initialized + run_warmup(client, prefix="warmup_lazy") + + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.0, height=512, width=512, batch_size=1) + + # Create async nodes that will be evaluated lazily + sleep1 = g.node("TestSleep", value=input1.out(0), seconds=0.3) + sleep2 = g.node("TestSleep", value=input2.out(0), seconds=0.3) + + # Use lazy mix that only needs sleep1 (mask=0.0) + lazy_mix = g.node("TestLazyMixImages", image1=sleep1.out(0), image2=sleep2.out(0), mask=mask.out(0)) + g.node("SaveImage", images=lazy_mix.out(0)) + + start_time = time.time() + result = client.run(g) + elapsed_time = time.time() - start_time + + # Should only execute sleep1, not sleep2 + if not skip_timing_checks: + assert elapsed_time < 0.5, f"Should skip sleep2, took {elapsed_time}s" + assert result.did_run(sleep1), "Sleep1 should have executed" + assert not result.did_run(sleep2), "Sleep2 should have been skipped" + + def test_async_check_lazy_status(self, client: ComfyClient, builder: GraphBuilder): + """Test async check_lazy_status function.""" + g = builder + # Create a node with async check_lazy_status + lazy_node = g.node("TestAsyncLazyCheck", + input1="value1", + input2="value2", + condition=True) + g.node("SaveImage", images=lazy_node.out(0)) + + result = client.run(g) + assert result.did_run(lazy_node) + + # Error Handling Tests + + def test_async_execution_error(self, client: ComfyClient, builder: GraphBuilder): + """Test that async execution errors are properly handled.""" + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + # Create an async node that will error + error_node = g.node("TestAsyncError", value=image.out(0), error_after=0.1) + g.node("SaveImage", images=error_node.out(0)) + + try: + client.run(g) + assert False, "Should have raised an error" + except Exception as e: + assert 'prompt_id' in e.args[0], f"Did not get proper error message: {e}" + assert e.args[0]['node_id'] == error_node.id, "Error should be from async error node" + + def test_async_validation_error(self, client: ComfyClient, builder: GraphBuilder): + """Test async validation error handling.""" + g = builder + # Node with async validation that will fail + validation_node = g.node("TestAsyncValidationError", value=15.0, max_value=10.0) + g.node("SaveImage", images=validation_node.out(0)) + + with pytest.raises(urllib.error.HTTPError) as exc_info: + client.run(g) + # Verify it's a validation error + assert exc_info.value.code == 400 + + def test_async_timeout_handling(self, client: ComfyClient, builder: GraphBuilder): + """Test handling of async operations that timeout.""" + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + # Very long sleep that would timeout + timeout_node = g.node("TestAsyncTimeout", value=image.out(0), timeout=0.5, operation_time=2.0) + g.node("SaveImage", images=timeout_node.out(0)) + + try: + client.run(g) + assert False, "Should have raised a timeout error" + except Exception as e: + assert 'timeout' in str(e).lower(), f"Expected timeout error, got: {e}" + + def test_concurrent_async_error_recovery(self, client: ComfyClient, builder: GraphBuilder): + """Test that workflow can recover after async errors.""" + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + # First run with error + error_node = g.node("TestAsyncError", value=image.out(0), error_after=0.1) + g.node("SaveImage", images=error_node.out(0)) + + try: + client.run(g) + except Exception: + pass # Expected + + # Second run should succeed + g2 = GraphBuilder(prefix="recovery_test") + image2 = g2.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + sleep_node = g2.node("TestSleep", value=image2.out(0), seconds=0.1) + g2.node("SaveImage", images=sleep_node.out(0)) + + result = client.run(g2) + assert result.did_run(sleep_node), "Should be able to run after error" + + def test_sync_error_during_async_execution(self, client: ComfyClient, builder: GraphBuilder): + """Test handling when sync node errors while async node is executing.""" + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + # Async node that takes time + sleep_node = g.node("TestSleep", value=image.out(0), seconds=0.5) + + # Sync node that will error immediately + error_node = g.node("TestSyncError", value=image.out(0)) + + # Both feed into output + g.node("PreviewImage", images=sleep_node.out(0)) + g.node("PreviewImage", images=error_node.out(0)) + + try: + client.run(g) + assert False, "Should have raised an error" + except Exception as e: + # Verify the sync error was caught even though async was running + assert 'prompt_id' in e.args[0] + + # Edge Cases + + def test_async_with_execution_blocker(self, client: ComfyClient, builder: GraphBuilder): + """Test async nodes with execution blockers.""" + g = builder + image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + + # Async sleep nodes + sleep1 = g.node("TestSleep", value=image1.out(0), seconds=0.2) + sleep2 = g.node("TestSleep", value=image2.out(0), seconds=0.2) + + # Create list of images + image_list = g.node("TestMakeListNode", value1=sleep1.out(0), value2=sleep2.out(0)) + + # Create list of blocking conditions - [False, True] to block only the second item + int1 = g.node("StubInt", value=1) + int2 = g.node("StubInt", value=2) + block_list = g.node("TestMakeListNode", value1=int1.out(0), value2=int2.out(0)) + + # Compare each value against 2, so first is False (1 != 2) and second is True (2 == 2) + compare = g.node("TestIntConditions", a=block_list.out(0), b=2, operation="==") + + # Block based on the comparison results + blocker = g.node("TestExecutionBlocker", input=image_list.out(0), block=compare.out(0), verbose=False) + + output = g.node("PreviewImage", images=blocker.out(0)) + + result = client.run(g) + images = result.get_images(output) + assert len(images) == 1, "Should have blocked second image" + + def test_async_caching_behavior(self, client: ComfyClient, builder: GraphBuilder, skip_timing_checks): + """Test that async nodes are properly cached.""" + # Warmup execution to ensure server is fully initialized + run_warmup(client, prefix="warmup_cache") + + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + sleep_node = g.node("TestSleep", value=image.out(0), seconds=0.2) + g.node("SaveImage", images=sleep_node.out(0)) + + # First run + result1 = client.run(g) + assert result1.did_run(sleep_node), "Should run first time" + + # Second run - should be cached + start_time = time.time() + result2 = client.run(g) + elapsed_time = time.time() - start_time + + assert not result2.did_run(sleep_node), "Should be cached" + if not skip_timing_checks: + assert elapsed_time < 0.1, f"Cached run took {elapsed_time}s, should be instant" + + def test_async_with_dynamic_prompts(self, client: ComfyClient, builder: GraphBuilder, skip_timing_checks): + """Test async nodes within dynamically generated prompts.""" + # Warmup execution to ensure server is fully initialized + run_warmup(client, prefix="warmup_dynamic") + + g = builder + image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + + # Node that generates async nodes dynamically + dynamic_async = g.node("TestDynamicAsyncGeneration", + image1=image1.out(0), + image2=image2.out(0), + num_async_nodes=5, + sleep_duration=0.4) + g.node("SaveImage", images=dynamic_async.out(0)) + + start_time = time.time() + result = client.run(g) + elapsed_time = time.time() - start_time + + # Should execute async nodes in parallel within dynamic prompt + if not skip_timing_checks: + assert elapsed_time < 1.0, f"Dynamic async execution took {elapsed_time}s" + assert result.did_run(dynamic_async) + + def test_async_resource_cleanup(self, client: ComfyClient, builder: GraphBuilder): + """Test that async resources are properly cleaned up.""" + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + # Create multiple async nodes that use resources + resource_nodes = [] + for i in range(5): + node = g.node("TestAsyncResourceUser", + value=image.out(0), + resource_id=f"resource_{i}", + duration=0.1) + resource_nodes.append(node) + g.node("PreviewImage", images=node.out(0)) + + result = client.run(g) + + # Verify all nodes executed + for node in resource_nodes: + assert result.did_run(node) + + # Run again to ensure resources were cleaned up + result2 = client.run(g) + # Should be cached but not error due to resource conflicts + for node in resource_nodes: + assert not result2.did_run(node), "Should be cached" + + def test_async_cancellation(self, client: ComfyClient, builder: GraphBuilder): + """Test cancellation of async operations.""" + # This would require implementing cancellation in the client + # For now, we'll test that long-running async operations can be interrupted + pass # TODO: Implement when cancellation API is available + + def test_mixed_sync_async_execution(self, client: ComfyClient, builder: GraphBuilder): + """Test workflows with both sync and async nodes.""" + g = builder + image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + + # Mix of sync and async operations + # Sync: lazy mix images + sync_op1 = g.node("TestLazyMixImages", image1=image1.out(0), image2=image2.out(0), mask=mask.out(0)) + # Async: sleep + async_op1 = g.node("TestSleep", value=sync_op1.out(0), seconds=0.2) + # Sync: custom validation + sync_op2 = g.node("TestCustomValidation1", input1=async_op1.out(0), input2=0.5) + # Async: sleep again + async_op2 = g.node("TestSleep", value=sync_op2.out(0), seconds=0.2) + + output = g.node("SaveImage", images=async_op2.out(0)) + + result = client.run(g) + + # Verify all nodes executed in correct order + assert result.did_run(sync_op1) + assert result.did_run(async_op1) + assert result.did_run(sync_op2) + assert result.did_run(async_op2) + + # Image should be a mix of black and white (gray) + result_images = result.get_images(output) + avg_value = np.array(result_images[0]).mean() + assert abs(avg_value - 63.75) < 5, f"Average value {avg_value} should be ~63.75" diff --git a/tests/execution/test_execution.py b/tests/execution/test_execution.py new file mode 100644 index 0000000000000000000000000000000000000000..8ea05fdd8fabbf699dccbcdf6099218989ac86af --- /dev/null +++ b/tests/execution/test_execution.py @@ -0,0 +1,764 @@ +from io import BytesIO +import numpy +from PIL import Image +import pytest +from pytest import fixture +import time +import torch +from typing import Union, Dict +import json +import subprocess +import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client) +import uuid +import urllib.request +import urllib.parse +import urllib.error +from comfy_execution.graph_utils import GraphBuilder, Node + +def run_warmup(client, prefix="warmup"): + """Run a simple workflow to warm up the server.""" + warmup_g = GraphBuilder(prefix=prefix) + warmup_image = warmup_g.node("StubImage", content="BLACK", height=32, width=32, batch_size=1) + warmup_g.node("PreviewImage", images=warmup_image.out(0)) + client.run(warmup_g) + +class RunResult: + def __init__(self, prompt_id: str): + self.outputs: Dict[str,Dict] = {} + self.runs: Dict[str,bool] = {} + self.cached: Dict[str,bool] = {} + self.prompt_id: str = prompt_id + + def get_output(self, node: Node): + return self.outputs.get(node.id, None) + + def did_run(self, node: Node): + return self.runs.get(node.id, False) + + def was_cached(self, node: Node): + return self.cached.get(node.id, False) + + def was_executed(self, node: Node): + """Returns True if node was either run or cached""" + return self.did_run(node) or self.was_cached(node) + + def get_images(self, node: Node): + output = self.get_output(node) + if output is None: + return [] + return output.get('image_objects', []) + + def get_prompt_id(self): + return self.prompt_id + +class ComfyClient: + def __init__(self): + self.test_name = "" + + def connect(self, + listen:str = '127.0.0.1', + port:Union[str,int] = 8188, + client_id: str = str(uuid.uuid4()) + ): + self.client_id = client_id + self.server_address = f"{listen}:{port}" + ws = websocket.WebSocket() + ws.connect("ws://{}/ws?clientId={}".format(self.server_address, self.client_id)) + self.ws = ws + + def queue_prompt(self, prompt, partial_execution_targets=None): + p = {"prompt": prompt, "client_id": self.client_id} + if partial_execution_targets is not None: + p["partial_execution_targets"] = partial_execution_targets + data = json.dumps(p).encode('utf-8') + req = urllib.request.Request("http://{}/prompt".format(self.server_address), data=data) + return json.loads(urllib.request.urlopen(req).read()) + + def get_image(self, filename, subfolder, folder_type): + data = {"filename": filename, "subfolder": subfolder, "type": folder_type} + url_values = urllib.parse.urlencode(data) + with urllib.request.urlopen("http://{}/view?{}".format(self.server_address, url_values)) as response: + return response.read() + + def get_history(self, prompt_id): + with urllib.request.urlopen("http://{}/history/{}".format(self.server_address, prompt_id)) as response: + return json.loads(response.read()) + + def set_test_name(self, name): + self.test_name = name + + def run(self, graph, partial_execution_targets=None): + prompt = graph.finalize() + for node in graph.nodes.values(): + if node.class_type == 'SaveImage': + node.inputs['filename_prefix'] = self.test_name + + prompt_id = self.queue_prompt(prompt, partial_execution_targets)['prompt_id'] + result = RunResult(prompt_id) + while True: + out = self.ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message['type'] == 'executing': + data = message['data'] + if data['prompt_id'] != prompt_id: + continue + if data['node'] is None: + break + result.runs[data['node']] = True + elif message['type'] == 'execution_error': + raise Exception(message['data']) + elif message['type'] == 'execution_cached': + if message['data']['prompt_id'] == prompt_id: + cached_nodes = message['data'].get('nodes', []) + for node_id in cached_nodes: + result.cached[node_id] = True + + history = self.get_history(prompt_id)[prompt_id] + for node_id in history['outputs']: + node_output = history['outputs'][node_id] + result.outputs[node_id] = node_output + images_output = [] + if 'images' in node_output: + for image in node_output['images']: + image_data = self.get_image(image['filename'], image['subfolder'], image['type']) + image_obj = Image.open(BytesIO(image_data)) + images_output.append(image_obj) + node_output['image_objects'] = images_output + + return result + +# +# Loop through these variables +# +@pytest.mark.execution +class TestExecution: + # + # Initialize server and client + # + @fixture(scope="class", autouse=True, params=[ + # (use_lru, lru_size) + (False, 0), + (True, 0), + (True, 100), + ]) + def _server(self, args_pytest, request): + # Start server + pargs = [ + 'python','main.py', + '--output-directory', args_pytest["output_dir"], + '--listen', args_pytest["listen"], + '--port', str(args_pytest["port"]), + '--extra-model-paths-config', 'tests/execution/extra_model_paths.yaml', + '--cpu', + ] + use_lru, lru_size = request.param + if use_lru: + pargs += ['--cache-lru', str(lru_size)] + print("Running server with args:", pargs) # noqa: T201 + p = subprocess.Popen(pargs) + yield + p.kill() + torch.cuda.empty_cache() + + def start_client(self, listen:str, port:int): + # Start client + comfy_client = ComfyClient() + # Connect to server (with retries) + n_tries = 5 + for i in range(n_tries): + time.sleep(4) + try: + comfy_client.connect(listen=listen, port=port) + except ConnectionRefusedError as e: + print(e) # noqa: T201 + print(f"({i+1}/{n_tries}) Retrying...") # noqa: T201 + else: + break + return comfy_client + + @fixture(scope="class", autouse=True) + def shared_client(self, args_pytest, _server): + client = self.start_client(args_pytest["listen"], args_pytest["port"]) + yield client + del client + torch.cuda.empty_cache() + + @fixture + def client(self, shared_client, request): + shared_client.set_test_name(f"execution[{request.node.name}]") + yield shared_client + + @fixture + def builder(self, request): + yield GraphBuilder(prefix=request.node.name) + + def test_lazy_input(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.0, height=512, width=512, batch_size=1) + + lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0)) + output = g.node("SaveImage", images=lazy_mix.out(0)) + result = client.run(g) + + result_image = result.get_images(output)[0] + assert numpy.array(result_image).any() == 0, "Image should be black" + assert result.did_run(input1) + assert not result.did_run(input2) + assert result.did_run(mask) + assert result.did_run(lazy_mix) + + def test_full_cache(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="NOISE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + + lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0)) + g.node("SaveImage", images=lazy_mix.out(0)) + + client.run(g) + result2 = client.run(g) + for node_id, node in g.nodes.items(): + assert not result2.did_run(node), f"Node {node_id} ran, but should have been cached" + + def test_partial_cache(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="NOISE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + + lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0)) + g.node("SaveImage", images=lazy_mix.out(0)) + + client.run(g) + mask.inputs['value'] = 0.4 + result2 = client.run(g) + assert not result2.did_run(input1), "Input1 should have been cached" + assert not result2.did_run(input2), "Input2 should have been cached" + + def test_error(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + # Different size of the two images + input2 = g.node("StubImage", content="NOISE", height=256, width=256, batch_size=1) + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + + lazy_mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0)) + g.node("SaveImage", images=lazy_mix.out(0)) + + try: + client.run(g) + assert False, "Should have raised an error" + except Exception as e: + assert 'prompt_id' in e.args[0], f"Did not get back a proper error message: {e}" + + @pytest.mark.parametrize("test_value, expect_error", [ + (5, True), + ("foo", True), + (5.0, False), + ]) + def test_validation_error_literal(self, test_value, expect_error, client: ComfyClient, builder: GraphBuilder): + g = builder + validation1 = g.node("TestCustomValidation1", input1=test_value, input2=3.0) + g.node("SaveImage", images=validation1.out(0)) + + if expect_error: + with pytest.raises(urllib.error.HTTPError): + client.run(g) + else: + client.run(g) + + @pytest.mark.parametrize("test_type, test_value", [ + ("StubInt", 5), + ("StubMask", 5.0) + ]) + def test_validation_error_edge1(self, test_type, test_value, client: ComfyClient, builder: GraphBuilder): + g = builder + stub = g.node(test_type, value=test_value) + validation1 = g.node("TestCustomValidation1", input1=stub.out(0), input2=3.0) + g.node("SaveImage", images=validation1.out(0)) + + with pytest.raises(urllib.error.HTTPError): + client.run(g) + + @pytest.mark.parametrize("test_type, test_value, expect_error", [ + ("StubInt", 5, True), + ("StubFloat", 5.0, False) + ]) + def test_validation_error_edge2(self, test_type, test_value, expect_error, client: ComfyClient, builder: GraphBuilder): + g = builder + stub = g.node(test_type, value=test_value) + validation2 = g.node("TestCustomValidation2", input1=stub.out(0), input2=3.0) + g.node("SaveImage", images=validation2.out(0)) + + if expect_error: + with pytest.raises(urllib.error.HTTPError): + client.run(g) + else: + client.run(g) + + @pytest.mark.parametrize("test_type, test_value, expect_error", [ + ("StubInt", 5, True), + ("StubFloat", 5.0, False) + ]) + def test_validation_error_edge3(self, test_type, test_value, expect_error, client: ComfyClient, builder: GraphBuilder): + g = builder + stub = g.node(test_type, value=test_value) + validation3 = g.node("TestCustomValidation3", input1=stub.out(0), input2=3.0) + g.node("SaveImage", images=validation3.out(0)) + + if expect_error: + with pytest.raises(urllib.error.HTTPError): + client.run(g) + else: + client.run(g) + + @pytest.mark.parametrize("test_type, test_value, expect_error", [ + ("StubInt", 5, True), + ("StubFloat", 5.0, False) + ]) + def test_validation_error_edge4(self, test_type, test_value, expect_error, client: ComfyClient, builder: GraphBuilder): + g = builder + stub = g.node(test_type, value=test_value) + validation4 = g.node("TestCustomValidation4", input1=stub.out(0), input2=3.0) + g.node("SaveImage", images=validation4.out(0)) + + if expect_error: + with pytest.raises(urllib.error.HTTPError): + client.run(g) + else: + client.run(g) + + @pytest.mark.parametrize("test_value1, test_value2, expect_error", [ + (0.0, 0.5, False), + (0.0, 5.0, False), + (0.0, 7.0, True) + ]) + def test_validation_error_kwargs(self, test_value1, test_value2, expect_error, client: ComfyClient, builder: GraphBuilder): + g = builder + validation5 = g.node("TestCustomValidation5", input1=test_value1, input2=test_value2) + g.node("SaveImage", images=validation5.out(0)) + + if expect_error: + with pytest.raises(urllib.error.HTTPError): + client.run(g) + else: + client.run(g) + + def test_cycle_error(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + + lazy_mix1 = g.node("TestLazyMixImages", image1=input1.out(0), mask=mask.out(0)) + lazy_mix2 = g.node("TestLazyMixImages", image1=lazy_mix1.out(0), image2=input2.out(0), mask=mask.out(0)) + g.node("SaveImage", images=lazy_mix2.out(0)) + + # When the cycle exists on initial submission, it should raise a validation error + with pytest.raises(urllib.error.HTTPError): + client.run(g) + + def test_dynamic_cycle_error(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + generator = g.node("TestDynamicDependencyCycle", input1=input1.out(0), input2=input2.out(0)) + g.node("SaveImage", images=generator.out(0)) + + # When the cycle is in a graph that is generated dynamically, it should raise a runtime error + try: + client.run(g) + assert False, "Should have raised an error" + except Exception as e: + assert 'prompt_id' in e.args[0], f"Did not get back a proper error message: {e}" + assert e.args[0]['node_id'] == generator.id, "Error should have been on the generator node" + + def test_missing_node_error(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", id="removeme", content="WHITE", height=512, width=512, batch_size=1) + input3 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + mix1 = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0)) + mix2 = g.node("TestLazyMixImages", image1=input1.out(0), image2=input3.out(0), mask=mask.out(0)) + # We have multiple outputs. The first is invalid, but the second is valid + g.node("SaveImage", images=mix1.out(0)) + g.node("SaveImage", images=mix2.out(0)) + g.remove_node("removeme") + + client.run(g) + + # Add back in the missing node to make sure the error doesn't break the server + input2 = g.node("StubImage", id="removeme", content="WHITE", height=512, width=512, batch_size=1) + client.run(g) + + def test_custom_is_changed(self, client: ComfyClient, builder: GraphBuilder): + g = builder + # Creating the nodes in this specific order previously caused a bug + save = g.node("SaveImage") + is_changed = g.node("TestCustomIsChanged", should_change=False) + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + save.set_input('images', is_changed.out(0)) + is_changed.set_input('image', input1.out(0)) + + result1 = client.run(g) + result2 = client.run(g) + is_changed.set_input('should_change', True) + result3 = client.run(g) + result4 = client.run(g) + assert result1.did_run(is_changed), "is_changed should have been run" + assert not result2.did_run(is_changed), "is_changed should have been cached" + assert result3.did_run(is_changed), "is_changed should have been re-run" + assert result4.did_run(is_changed), "is_changed should not have been cached" + + def test_undeclared_inputs(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + input3 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input4 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + average = g.node("TestVariadicAverage", input1=input1.out(0), input2=input2.out(0), input3=input3.out(0), input4=input4.out(0)) + output = g.node("SaveImage", images=average.out(0)) + + result = client.run(g) + result_image = result.get_images(output)[0] + expected = 255 // 4 + assert numpy.array(result_image).min() == expected and numpy.array(result_image).max() == expected, "Image should be grey" + + def test_for_loop(self, client: ComfyClient, builder: GraphBuilder): + g = builder + iterations = 4 + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + is_changed = g.node("TestCustomIsChanged", should_change=True, image=input2.out(0)) + for_open = g.node("TestForLoopOpen", remaining=iterations, initial_value1=is_changed.out(0)) + average = g.node("TestVariadicAverage", input1=input1.out(0), input2=for_open.out(2)) + for_close = g.node("TestForLoopClose", flow_control=for_open.out(0), initial_value1=average.out(0)) + output = g.node("SaveImage", images=for_close.out(0)) + + for iterations in range(1, 5): + for_open.set_input('remaining', iterations) + result = client.run(g) + result_image = result.get_images(output)[0] + expected = 255 // (2 ** iterations) + assert numpy.array(result_image).min() == expected and numpy.array(result_image).max() == expected, "Image should be grey" + assert result.did_run(is_changed) + + def test_mixed_expansion_returns(self, client: ComfyClient, builder: GraphBuilder): + g = builder + val_list = g.node("TestMakeListNode", value1=0.1, value2=0.2, value3=0.3) + mixed = g.node("TestMixedExpansionReturns", input1=val_list.out(0)) + output_dynamic = g.node("SaveImage", images=mixed.out(0)) + output_literal = g.node("SaveImage", images=mixed.out(1)) + + result = client.run(g) + images_dynamic = result.get_images(output_dynamic) + assert len(images_dynamic) == 3, "Should have 2 images" + assert numpy.array(images_dynamic[0]).min() == 25 and numpy.array(images_dynamic[0]).max() == 25, "First image should be 0.1" + assert numpy.array(images_dynamic[1]).min() == 51 and numpy.array(images_dynamic[1]).max() == 51, "Second image should be 0.2" + assert numpy.array(images_dynamic[2]).min() == 76 and numpy.array(images_dynamic[2]).max() == 76, "Third image should be 0.3" + + images_literal = result.get_images(output_literal) + assert len(images_literal) == 3, "Should have 2 images" + for i in range(3): + assert numpy.array(images_literal[i]).min() == 255 and numpy.array(images_literal[i]).max() == 255, "All images should be white" + + def test_mixed_lazy_results(self, client: ComfyClient, builder: GraphBuilder): + g = builder + val_list = g.node("TestMakeListNode", value1=0.0, value2=0.5, value3=1.0) + mask = g.node("StubMask", value=val_list.out(0), height=512, width=512, batch_size=1) + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mix = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask.out(0)) + rebatch = g.node("RebatchImages", images=mix.out(0), batch_size=3) + output = g.node("SaveImage", images=rebatch.out(0)) + + result = client.run(g) + images = result.get_images(output) + assert len(images) == 3, "Should have 3 image" + assert numpy.array(images[0]).min() == 0 and numpy.array(images[0]).max() == 0, "First image should be 0.0" + assert numpy.array(images[1]).min() == 127 and numpy.array(images[1]).max() == 127, "Second image should be 0.5" + assert numpy.array(images[2]).min() == 255 and numpy.array(images[2]).max() == 255, "Third image should be 1.0" + + def test_output_reuse(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + output1 = g.node("SaveImage", images=input1.out(0)) + output2 = g.node("SaveImage", images=input1.out(0)) + + result = client.run(g) + images1 = result.get_images(output1) + images2 = result.get_images(output2) + assert len(images1) == 1, "Should have 1 image" + assert len(images2) == 1, "Should have 1 image" + + + # This tests that only constant outputs are used in the call to `IS_CHANGED` + def test_is_changed_with_outputs(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubConstantImage", value=0.5, height=512, width=512, batch_size=1) + test_node = g.node("TestIsChangedWithConstants", image=input1.out(0), value=0.5) + + output = g.node("PreviewImage", images=test_node.out(0)) + + result = client.run(g) + images = result.get_images(output) + assert len(images) == 1, "Should have 1 image" + assert numpy.array(images[0]).min() == 63 and numpy.array(images[0]).max() == 63, "Image should have value 0.25" + + result = client.run(g) + images = result.get_images(output) + assert len(images) == 1, "Should have 1 image" + assert numpy.array(images[0]).min() == 63 and numpy.array(images[0]).max() == 63, "Image should have value 0.25" + assert not result.did_run(test_node), "The execution should have been cached" + + def test_parallel_sleep_nodes(self, client: ComfyClient, builder: GraphBuilder, skip_timing_checks): + # Warmup execution to ensure server is fully initialized + run_warmup(client) + + g = builder + image = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + # Create sleep nodes for each duration + sleep_node1 = g.node("TestSleep", value=image.out(0), seconds=2.9) + sleep_node2 = g.node("TestSleep", value=image.out(0), seconds=3.1) + sleep_node3 = g.node("TestSleep", value=image.out(0), seconds=3.0) + + # Add outputs to verify the execution + _output1 = g.node("PreviewImage", images=sleep_node1.out(0)) + _output2 = g.node("PreviewImage", images=sleep_node2.out(0)) + _output3 = g.node("PreviewImage", images=sleep_node3.out(0)) + + start_time = time.time() + result = client.run(g) + elapsed_time = time.time() - start_time + + # The test should take around 3.0 seconds (the longest sleep duration) + # plus some overhead, but definitely less than the sum of all sleeps (9.0s) + if not skip_timing_checks: + assert elapsed_time < 8.9, f"Parallel execution took {elapsed_time}s, expected less than 8.9s" + + # Verify that all nodes executed + assert result.did_run(sleep_node1), "Sleep node 1 should have run" + assert result.did_run(sleep_node2), "Sleep node 2 should have run" + assert result.did_run(sleep_node3), "Sleep node 3 should have run" + + def test_parallel_sleep_expansion(self, client: ComfyClient, builder: GraphBuilder, skip_timing_checks): + # Warmup execution to ensure server is fully initialized + run_warmup(client) + + g = builder + # Create input images with different values + image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + image3 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + + # Create a TestParallelSleep node that expands into multiple TestSleep nodes + parallel_sleep = g.node("TestParallelSleep", + image1=image1.out(0), + image2=image2.out(0), + image3=image3.out(0), + sleep1=4.8, + sleep2=4.9, + sleep3=5.0) + output = g.node("SaveImage", images=parallel_sleep.out(0)) + + start_time = time.time() + result = client.run(g) + elapsed_time = time.time() - start_time + + # Similar to the previous test, expect parallel execution of the sleep nodes + # which should complete in less than the sum of all sleeps + # Lots of leeway here since Windows CI is slow + if not skip_timing_checks: + assert elapsed_time < 13.0, f"Expansion execution took {elapsed_time}s" + + # Verify the parallel sleep node executed + assert result.did_run(parallel_sleep), "ParallelSleep node should have run" + + # Verify we get an image as output (blend of the three input images) + result_images = result.get_images(output) + assert len(result_images) == 1, "Should have 1 image" + # Average pixel value should be around 170 (255 * 2 // 3) + avg_value = numpy.array(result_images[0]).mean() + assert avg_value == 170, f"Image average value {avg_value} should be 170" + + # This tests that nodes with OUTPUT_IS_LIST function correctly when they receive an ExecutionBlocker + # as input. We also test that when that list (containing an ExecutionBlocker) is passed to a node, + # only that one entry in the list is blocked. + def test_execution_block_list_output(self, client: ComfyClient, builder: GraphBuilder): + g = builder + image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + image3 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + image_list = g.node("TestMakeListNode", value1=image1.out(0), value2=image2.out(0), value3=image3.out(0)) + int1 = g.node("StubInt", value=1) + int2 = g.node("StubInt", value=2) + int3 = g.node("StubInt", value=3) + int_list = g.node("TestMakeListNode", value1=int1.out(0), value2=int2.out(0), value3=int3.out(0)) + compare = g.node("TestIntConditions", a=int_list.out(0), b=2, operation="==") + blocker = g.node("TestExecutionBlocker", input=image_list.out(0), block=compare.out(0), verbose=False) + + list_output = g.node("TestMakeListNode", value1=blocker.out(0)) + output = g.node("PreviewImage", images=list_output.out(0)) + + result = client.run(g) + assert result.did_run(output), "The execution should have run" + images = result.get_images(output) + assert len(images) == 2, "Should have 2 images" + assert numpy.array(images[0]).min() == 0 and numpy.array(images[0]).max() == 0, "First image should be black" + assert numpy.array(images[1]).min() == 0 and numpy.array(images[1]).max() == 0, "Second image should also be black" + + # Output nodes included in the partial execution list are executed + def test_partial_execution_included_outputs(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + + # Create two separate output nodes + output1 = g.node("SaveImage", images=input1.out(0)) + output2 = g.node("SaveImage", images=input2.out(0)) + + # Run with partial execution targeting only output1 + result = client.run(g, partial_execution_targets=[output1.id]) + + assert result.was_executed(input1), "Input1 should have been executed (run or cached)" + assert result.was_executed(output1), "Output1 should have been executed (run or cached)" + assert not result.did_run(input2), "Input2 should not have run" + assert not result.did_run(output2), "Output2 should not have run" + + # Verify only output1 produced results + assert len(result.get_images(output1)) == 1, "Output1 should have produced an image" + assert len(result.get_images(output2)) == 0, "Output2 should not have produced an image" + + # Output nodes NOT included in the partial execution list are NOT executed + def test_partial_execution_excluded_outputs(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + input3 = g.node("StubImage", content="NOISE", height=512, width=512, batch_size=1) + + # Create three output nodes + output1 = g.node("SaveImage", images=input1.out(0)) + output2 = g.node("SaveImage", images=input2.out(0)) + output3 = g.node("SaveImage", images=input3.out(0)) + + # Run with partial execution targeting only output1 and output3 + result = client.run(g, partial_execution_targets=[output1.id, output3.id]) + + assert result.was_executed(input1), "Input1 should have been executed" + assert result.was_executed(input3), "Input3 should have been executed" + assert result.was_executed(output1), "Output1 should have been executed" + assert result.was_executed(output3), "Output3 should have been executed" + assert not result.did_run(input2), "Input2 should not have run" + assert not result.did_run(output2), "Output2 should not have run" + + # Output nodes NOT in list ARE executed if necessary for nodes that are in the list + def test_partial_execution_dependencies(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + + # Create a processing chain with an OUTPUT_NODE that has socket outputs + output_with_socket = g.node("TestOutputNodeWithSocketOutput", image=input1.out(0), value=2.0) + + # Create another node that depends on the output_with_socket + dependent_node = g.node("TestLazyMixImages", + image1=output_with_socket.out(0), + image2=input1.out(0), + mask=g.node("StubMask", value=0.5, height=512, width=512, batch_size=1).out(0)) + + # Create the final output + final_output = g.node("SaveImage", images=dependent_node.out(0)) + + # Run with partial execution targeting only the final output + result = client.run(g, partial_execution_targets=[final_output.id]) + + # All nodes should have been executed because they're dependencies + assert result.was_executed(input1), "Input1 should have been executed" + assert result.was_executed(output_with_socket), "Output with socket should have been executed (dependency)" + assert result.was_executed(dependent_node), "Dependent node should have been executed" + assert result.was_executed(final_output), "Final output should have been executed" + + # Lazy execution works with partial execution + def test_partial_execution_with_lazy_nodes(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + input3 = g.node("StubImage", content="NOISE", height=512, width=512, batch_size=1) + + # Create masks that will trigger different lazy execution paths + mask1 = g.node("StubMask", value=0.0, height=512, width=512, batch_size=1) # Will only need image1 + mask2 = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) # Will need both images + + # Create two lazy mix nodes + lazy_mix1 = g.node("TestLazyMixImages", image1=input1.out(0), image2=input2.out(0), mask=mask1.out(0)) + lazy_mix2 = g.node("TestLazyMixImages", image1=input2.out(0), image2=input3.out(0), mask=mask2.out(0)) + + output1 = g.node("SaveImage", images=lazy_mix1.out(0)) + output2 = g.node("SaveImage", images=lazy_mix2.out(0)) + + # Run with partial execution targeting only output1 + result = client.run(g, partial_execution_targets=[output1.id]) + + # For output1 path - only input1 should run due to lazy evaluation (mask=0.0) + assert result.was_executed(input1), "Input1 should have been executed" + assert not result.did_run(input2), "Input2 should not have run (lazy evaluation)" + assert result.was_executed(mask1), "Mask1 should have been executed" + assert result.was_executed(lazy_mix1), "Lazy mix1 should have been executed" + assert result.was_executed(output1), "Output1 should have been executed" + + # Nothing from output2 path should run + assert not result.did_run(input3), "Input3 should not have run" + assert not result.did_run(mask2), "Mask2 should not have run" + assert not result.did_run(lazy_mix2), "Lazy mix2 should not have run" + assert not result.did_run(output2), "Output2 should not have run" + + # Multiple OUTPUT_NODEs with dependencies + def test_partial_execution_multiple_output_nodes(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + input2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + + # Create a chain of OUTPUT_NODEs + output_node1 = g.node("TestOutputNodeWithSocketOutput", image=input1.out(0), value=1.5) + output_node2 = g.node("TestOutputNodeWithSocketOutput", image=output_node1.out(0), value=2.0) + + # Create regular output nodes + save1 = g.node("SaveImage", images=output_node1.out(0)) + save2 = g.node("SaveImage", images=output_node2.out(0)) + save3 = g.node("SaveImage", images=input2.out(0)) + + # Run targeting only save2 + result = client.run(g, partial_execution_targets=[save2.id]) + + # Should run: input1, output_node1, output_node2, save2 + assert result.was_executed(input1), "Input1 should have been executed" + assert result.was_executed(output_node1), "Output node 1 should have been executed (dependency)" + assert result.was_executed(output_node2), "Output node 2 should have been executed (dependency)" + assert result.was_executed(save2), "Save2 should have been executed" + + # Should NOT run: input2, save1, save3 + assert not result.did_run(input2), "Input2 should not have run" + assert not result.did_run(save1), "Save1 should not have run" + assert not result.did_run(save3), "Save3 should not have run" + + # Empty partial execution list (should execute nothing) + def test_partial_execution_empty_list(self, client: ComfyClient, builder: GraphBuilder): + g = builder + input1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + _output1 = g.node("SaveImage", images=input1.out(0)) + + # Run with empty partial execution list + try: + _result = client.run(g, partial_execution_targets=[]) + # Should get an error because no outputs are selected + assert False, "Should have raised an error for empty partial execution list" + except urllib.error.HTTPError: + pass # Expected behavior + diff --git a/tests/execution/test_progress_isolation.py b/tests/execution/test_progress_isolation.py new file mode 100644 index 0000000000000000000000000000000000000000..93dc0d41bba228f0adf1fe23e611f6b49f6dcf2f --- /dev/null +++ b/tests/execution/test_progress_isolation.py @@ -0,0 +1,233 @@ +"""Test that progress updates are properly isolated between WebSocket clients.""" + +import json +import pytest +import time +import threading +import uuid +import websocket +from typing import List, Dict, Any +from comfy_execution.graph_utils import GraphBuilder +from tests.execution.test_execution import ComfyClient + + +class ProgressTracker: + """Tracks progress messages received by a WebSocket client.""" + + def __init__(self, client_id: str): + self.client_id = client_id + self.progress_messages: List[Dict[str, Any]] = [] + self.lock = threading.Lock() + + def add_message(self, message: Dict[str, Any]): + """Thread-safe addition of progress messages.""" + with self.lock: + self.progress_messages.append(message) + + def get_messages_for_prompt(self, prompt_id: str) -> List[Dict[str, Any]]: + """Get all progress messages for a specific prompt_id.""" + with self.lock: + return [ + msg for msg in self.progress_messages + if msg.get('data', {}).get('prompt_id') == prompt_id + ] + + def has_cross_contamination(self, own_prompt_id: str) -> bool: + """Check if this client received progress for other prompts.""" + with self.lock: + for msg in self.progress_messages: + msg_prompt_id = msg.get('data', {}).get('prompt_id') + if msg_prompt_id and msg_prompt_id != own_prompt_id: + return True + return False + + +class IsolatedClient(ComfyClient): + """Extended ComfyClient that tracks all WebSocket messages.""" + + def __init__(self): + super().__init__() + self.progress_tracker = None + self.all_messages: List[Dict[str, Any]] = [] + + def connect(self, listen='127.0.0.1', port=8188, client_id=None): + """Connect with a specific client_id and set up message tracking.""" + if client_id is None: + client_id = str(uuid.uuid4()) + super().connect(listen, port, client_id) + self.progress_tracker = ProgressTracker(client_id) + + def listen_for_messages(self, duration: float = 5.0): + """Listen for WebSocket messages for a specified duration.""" + end_time = time.time() + duration + self.ws.settimeout(0.5) # Non-blocking with timeout + + while time.time() < end_time: + try: + out = self.ws.recv() + if isinstance(out, str): + message = json.loads(out) + self.all_messages.append(message) + + # Track progress_state messages + if message.get('type') == 'progress_state': + self.progress_tracker.add_message(message) + except websocket.WebSocketTimeoutException: + continue + except Exception: + # Log error silently in test context + break + + +@pytest.mark.execution +class TestProgressIsolation: + """Test suite for verifying progress update isolation between clients.""" + + @pytest.fixture(scope="class", autouse=True) + def _server(self, args_pytest): + """Start the ComfyUI server for testing.""" + import subprocess + pargs = [ + 'python', 'main.py', + '--output-directory', args_pytest["output_dir"], + '--listen', args_pytest["listen"], + '--port', str(args_pytest["port"]), + '--extra-model-paths-config', 'tests/execution/extra_model_paths.yaml', + '--cpu', + ] + p = subprocess.Popen(pargs) + yield + p.kill() + + def start_client_with_retry(self, listen: str, port: int, client_id: str = None): + """Start client with connection retries.""" + client = IsolatedClient() + # Connect to server (with retries) + n_tries = 5 + for i in range(n_tries): + time.sleep(4) + try: + client.connect(listen, port, client_id) + return client + except ConnectionRefusedError as e: + print(e) # noqa: T201 + print(f"({i+1}/{n_tries}) Retrying...") # noqa: T201 + raise ConnectionRefusedError(f"Failed to connect after {n_tries} attempts") + + def test_progress_isolation_between_clients(self, args_pytest): + """Test that progress updates are isolated between different clients.""" + listen = args_pytest["listen"] + port = args_pytest["port"] + + # Create two separate clients with unique IDs + client_a_id = "client_a_" + str(uuid.uuid4()) + client_b_id = "client_b_" + str(uuid.uuid4()) + + try: + # Connect both clients with retries + client_a = self.start_client_with_retry(listen, port, client_a_id) + client_b = self.start_client_with_retry(listen, port, client_b_id) + + # Create simple workflows for both clients + graph_a = GraphBuilder(prefix="client_a") + image_a = graph_a.node("StubImage", content="BLACK", height=256, width=256, batch_size=1) + graph_a.node("PreviewImage", images=image_a.out(0)) + + graph_b = GraphBuilder(prefix="client_b") + image_b = graph_b.node("StubImage", content="WHITE", height=256, width=256, batch_size=1) + graph_b.node("PreviewImage", images=image_b.out(0)) + + # Submit workflows from both clients + prompt_a = graph_a.finalize() + prompt_b = graph_b.finalize() + + response_a = client_a.queue_prompt(prompt_a) + prompt_id_a = response_a['prompt_id'] + + response_b = client_b.queue_prompt(prompt_b) + prompt_id_b = response_b['prompt_id'] + + # Start threads to listen for messages on both clients + def listen_client_a(): + client_a.listen_for_messages(duration=10.0) + + def listen_client_b(): + client_b.listen_for_messages(duration=10.0) + + thread_a = threading.Thread(target=listen_client_a) + thread_b = threading.Thread(target=listen_client_b) + + thread_a.start() + thread_b.start() + + # Wait for threads to complete + thread_a.join() + thread_b.join() + + # Verify isolation + # Client A should only receive progress for prompt_id_a + assert not client_a.progress_tracker.has_cross_contamination(prompt_id_a), \ + f"Client A received progress updates for other clients' workflows. " \ + f"Expected only {prompt_id_a}, but got messages for multiple prompts." + + # Client B should only receive progress for prompt_id_b + assert not client_b.progress_tracker.has_cross_contamination(prompt_id_b), \ + f"Client B received progress updates for other clients' workflows. " \ + f"Expected only {prompt_id_b}, but got messages for multiple prompts." + + # Verify each client received their own progress updates + client_a_messages = client_a.progress_tracker.get_messages_for_prompt(prompt_id_a) + client_b_messages = client_b.progress_tracker.get_messages_for_prompt(prompt_id_b) + + assert len(client_a_messages) > 0, \ + "Client A did not receive any progress updates for its own workflow" + assert len(client_b_messages) > 0, \ + "Client B did not receive any progress updates for its own workflow" + + # Ensure no cross-contamination + client_a_other = client_a.progress_tracker.get_messages_for_prompt(prompt_id_b) + client_b_other = client_b.progress_tracker.get_messages_for_prompt(prompt_id_a) + + assert len(client_a_other) == 0, \ + f"Client A incorrectly received {len(client_a_other)} progress updates for Client B's workflow" + assert len(client_b_other) == 0, \ + f"Client B incorrectly received {len(client_b_other)} progress updates for Client A's workflow" + + finally: + # Clean up connections + if hasattr(client_a, 'ws'): + client_a.ws.close() + if hasattr(client_b, 'ws'): + client_b.ws.close() + + def test_progress_with_missing_client_id(self, args_pytest): + """Test that progress updates handle missing client_id gracefully.""" + listen = args_pytest["listen"] + port = args_pytest["port"] + + try: + # Connect client with retries + client = self.start_client_with_retry(listen, port) + + # Create a simple workflow + graph = GraphBuilder(prefix="test_missing_id") + image = graph.node("StubImage", content="BLACK", height=128, width=128, batch_size=1) + graph.node("PreviewImage", images=image.out(0)) + + # Submit workflow + prompt = graph.finalize() + response = client.queue_prompt(prompt) + prompt_id = response['prompt_id'] + + # Listen for messages + client.listen_for_messages(duration=5.0) + + # Should still receive progress updates for own workflow + messages = client.progress_tracker.get_messages_for_prompt(prompt_id) + assert len(messages) > 0, \ + "Client did not receive progress updates even though it initiated the workflow" + + finally: + if hasattr(client, 'ws'): + client.ws.close() + diff --git a/tests/execution/testing_nodes/testing-pack/__init__.py b/tests/execution/testing_nodes/testing-pack/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..3d5ac8a94febb0481c1cf52b7cd89436f0c5c9ce --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/__init__.py @@ -0,0 +1,28 @@ +from .specific_tests import TEST_NODE_CLASS_MAPPINGS, TEST_NODE_DISPLAY_NAME_MAPPINGS +from .flow_control import FLOW_CONTROL_NODE_CLASS_MAPPINGS, FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS +from .util import UTILITY_NODE_CLASS_MAPPINGS, UTILITY_NODE_DISPLAY_NAME_MAPPINGS +from .conditions import CONDITION_NODE_CLASS_MAPPINGS, CONDITION_NODE_DISPLAY_NAME_MAPPINGS +from .stubs import TEST_STUB_NODE_CLASS_MAPPINGS, TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS +from .async_test_nodes import ASYNC_TEST_NODE_CLASS_MAPPINGS, ASYNC_TEST_NODE_DISPLAY_NAME_MAPPINGS +from .api_test_nodes import API_TEST_NODE_CLASS_MAPPINGS, API_TEST_NODE_DISPLAY_NAME_MAPPINGS + +# NODE_CLASS_MAPPINGS = GENERAL_NODE_CLASS_MAPPINGS.update(COMPONENT_NODE_CLASS_MAPPINGS) +# NODE_DISPLAY_NAME_MAPPINGS = GENERAL_NODE_DISPLAY_NAME_MAPPINGS.update(COMPONENT_NODE_DISPLAY_NAME_MAPPINGS) + +NODE_CLASS_MAPPINGS = {} +NODE_CLASS_MAPPINGS.update(TEST_NODE_CLASS_MAPPINGS) +NODE_CLASS_MAPPINGS.update(FLOW_CONTROL_NODE_CLASS_MAPPINGS) +NODE_CLASS_MAPPINGS.update(UTILITY_NODE_CLASS_MAPPINGS) +NODE_CLASS_MAPPINGS.update(CONDITION_NODE_CLASS_MAPPINGS) +NODE_CLASS_MAPPINGS.update(TEST_STUB_NODE_CLASS_MAPPINGS) +NODE_CLASS_MAPPINGS.update(ASYNC_TEST_NODE_CLASS_MAPPINGS) +NODE_CLASS_MAPPINGS.update(API_TEST_NODE_CLASS_MAPPINGS) + +NODE_DISPLAY_NAME_MAPPINGS = {} +NODE_DISPLAY_NAME_MAPPINGS.update(TEST_NODE_DISPLAY_NAME_MAPPINGS) +NODE_DISPLAY_NAME_MAPPINGS.update(FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS) +NODE_DISPLAY_NAME_MAPPINGS.update(UTILITY_NODE_DISPLAY_NAME_MAPPINGS) +NODE_DISPLAY_NAME_MAPPINGS.update(CONDITION_NODE_DISPLAY_NAME_MAPPINGS) +NODE_DISPLAY_NAME_MAPPINGS.update(TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS) +NODE_DISPLAY_NAME_MAPPINGS.update(ASYNC_TEST_NODE_DISPLAY_NAME_MAPPINGS) +NODE_DISPLAY_NAME_MAPPINGS.update(API_TEST_NODE_DISPLAY_NAME_MAPPINGS) diff --git a/tests/execution/testing_nodes/testing-pack/api_test_nodes.py b/tests/execution/testing_nodes/testing-pack/api_test_nodes.py new file mode 100644 index 0000000000000000000000000000000000000000..b2eaae05ec985caeb313ce47f09ab2858782e043 --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/api_test_nodes.py @@ -0,0 +1,78 @@ +import asyncio +import time +from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict +from comfy_api.v0_0_2 import ComfyAPI, ComfyAPISync + +api = ComfyAPI() +api_sync = ComfyAPISync() + + +class TestAsyncProgressUpdate(ComfyNodeABC): + """Test node with async VALIDATE_INPUTS.""" + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "value": (IO.ANY, {}), + "sleep_seconds": (IO.FLOAT, {"default": 1.0}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "execute" + CATEGORY = "_for_testing/async" + + async def execute(self, value, sleep_seconds): + start = time.time() + expiration = start + sleep_seconds + now = start + while now < expiration: + now = time.time() + await api.execution.set_progress( + value=(now - start) / sleep_seconds, + max_value=1.0, + ) + await asyncio.sleep(0.01) + return (value,) + + +class TestSyncProgressUpdate(ComfyNodeABC): + """Test node with async VALIDATE_INPUTS.""" + + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "value": (IO.ANY, {}), + "sleep_seconds": (IO.FLOAT, {"default": 1.0}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "execute" + CATEGORY = "_for_testing/async" + + def execute(self, value, sleep_seconds): + start = time.time() + expiration = start + sleep_seconds + now = start + while now < expiration: + now = time.time() + api_sync.execution.set_progress( + value=(now - start) / sleep_seconds, + max_value=1.0, + ) + time.sleep(0.01) + return (value,) + + +API_TEST_NODE_CLASS_MAPPINGS = { + "TestAsyncProgressUpdate": TestAsyncProgressUpdate, + "TestSyncProgressUpdate": TestSyncProgressUpdate, +} + +API_TEST_NODE_DISPLAY_NAME_MAPPINGS = { + "TestAsyncProgressUpdate": "Async Progress Update Test Node", + "TestSyncProgressUpdate": "Sync Progress Update Test Node", +} diff --git a/tests/execution/testing_nodes/testing-pack/async_test_nodes.py b/tests/execution/testing_nodes/testing-pack/async_test_nodes.py new file mode 100644 index 0000000000000000000000000000000000000000..547eea6f4117bee47539eacbbda2a54593cee538 --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/async_test_nodes.py @@ -0,0 +1,343 @@ +import torch +import asyncio +from typing import Dict +from comfy.utils import ProgressBar +from comfy_execution.graph_utils import GraphBuilder +from comfy.comfy_types.node_typing import ComfyNodeABC +from comfy.comfy_types import IO + + +class TestAsyncValidation(ComfyNodeABC): + """Test node with async VALIDATE_INPUTS.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("FLOAT", {"default": 5.0}), + "threshold": ("FLOAT", {"default": 10.0}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "process" + CATEGORY = "_for_testing/async" + + @classmethod + async def VALIDATE_INPUTS(cls, value, threshold): + # Simulate async validation (e.g., checking remote service) + await asyncio.sleep(0.05) + + if value > threshold: + return f"Value {value} exceeds threshold {threshold}" + return True + + def process(self, value, threshold): + # Create image based on value + intensity = value / 10.0 + image = torch.ones([1, 512, 512, 3]) * intensity + return (image,) + + +class TestAsyncError(ComfyNodeABC): + """Test node that errors during async execution.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": (IO.ANY, {}), + "error_after": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 10.0}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "error_execution" + CATEGORY = "_for_testing/async" + + async def error_execution(self, value, error_after): + await asyncio.sleep(error_after) + raise RuntimeError("Intentional async execution error for testing") + + +class TestAsyncValidationError(ComfyNodeABC): + """Test node with async validation that always fails.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("FLOAT", {"default": 5.0}), + "max_value": ("FLOAT", {"default": 10.0}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "process" + CATEGORY = "_for_testing/async" + + @classmethod + async def VALIDATE_INPUTS(cls, value, max_value): + await asyncio.sleep(0.05) + # Always fail validation for values > max_value + if value > max_value: + return f"Async validation failed: {value} > {max_value}" + return True + + def process(self, value, max_value): + # This won't be reached if validation fails + image = torch.ones([1, 512, 512, 3]) * (value / max_value) + return (image,) + + +class TestAsyncTimeout(ComfyNodeABC): + """Test node that simulates timeout scenarios.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": (IO.ANY, {}), + "timeout": ("FLOAT", {"default": 1.0, "min": 0.1, "max": 10.0}), + "operation_time": ("FLOAT", {"default": 2.0, "min": 0.1, "max": 10.0}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "timeout_execution" + CATEGORY = "_for_testing/async" + + async def timeout_execution(self, value, timeout, operation_time): + try: + # This will timeout if operation_time > timeout + await asyncio.wait_for(asyncio.sleep(operation_time), timeout=timeout) + return (value,) + except asyncio.TimeoutError: + raise RuntimeError(f"Operation timed out after {timeout} seconds") + + +class TestSyncError(ComfyNodeABC): + """Test node that errors synchronously (for mixed sync/async testing).""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": (IO.ANY, {}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "sync_error" + CATEGORY = "_for_testing/async" + + def sync_error(self, value): + raise RuntimeError("Intentional sync execution error for testing") + + +class TestAsyncLazyCheck(ComfyNodeABC): + """Test node with async check_lazy_status.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": (IO.ANY, {"lazy": True}), + "input2": (IO.ANY, {"lazy": True}), + "condition": ("BOOLEAN", {"default": True}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "process" + CATEGORY = "_for_testing/async" + + async def check_lazy_status(self, condition, input1, input2): + # Simulate async checking (e.g., querying remote service) + await asyncio.sleep(0.05) + + needed = [] + if condition and input1 is None: + needed.append("input1") + if not condition and input2 is None: + needed.append("input2") + return needed + + def process(self, input1, input2, condition): + # Return a simple image + return (torch.ones([1, 512, 512, 3]),) + + +class TestDynamicAsyncGeneration(ComfyNodeABC): + """Test node that dynamically generates async nodes.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image1": ("IMAGE",), + "image2": ("IMAGE",), + "num_async_nodes": ("INT", {"default": 3, "min": 1, "max": 10}), + "sleep_duration": ("FLOAT", {"default": 0.2, "min": 0.1, "max": 1.0}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "generate_async_workflow" + CATEGORY = "_for_testing/async" + + def generate_async_workflow(self, image1, image2, num_async_nodes, sleep_duration): + g = GraphBuilder() + + # Create multiple async sleep nodes + sleep_nodes = [] + for i in range(num_async_nodes): + image = image1 if i % 2 == 0 else image2 + sleep_node = g.node("TestSleep", value=image, seconds=sleep_duration) + sleep_nodes.append(sleep_node) + + # Average all results + if len(sleep_nodes) == 1: + final_node = sleep_nodes[0] + else: + avg_inputs = {"input1": sleep_nodes[0].out(0)} + for i, node in enumerate(sleep_nodes[1:], 2): + avg_inputs[f"input{i}"] = node.out(0) + final_node = g.node("TestVariadicAverage", **avg_inputs) + + return { + "result": (final_node.out(0),), + "expand": g.finalize(), + } + + +class TestAsyncResourceUser(ComfyNodeABC): + """Test node that uses resources during async execution.""" + + # Class-level resource tracking for testing + _active_resources: Dict[str, bool] = {} + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": (IO.ANY, {}), + "resource_id": ("STRING", {"default": "resource_0"}), + "duration": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 1.0}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "use_resource" + CATEGORY = "_for_testing/async" + + async def use_resource(self, value, resource_id, duration): + # Check if resource is already in use + if self._active_resources.get(resource_id, False): + raise RuntimeError(f"Resource {resource_id} is already in use!") + + # Mark resource as in use + self._active_resources[resource_id] = True + + try: + # Simulate resource usage + await asyncio.sleep(duration) + return (value,) + finally: + # Always clean up resource + self._active_resources[resource_id] = False + + +class TestAsyncBatchProcessing(ComfyNodeABC): + """Test async processing of batched inputs.""" + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "images": ("IMAGE",), + "process_time_per_item": ("FLOAT", {"default": 0.1, "min": 0.01, "max": 1.0}), + }, + "hidden": { + "unique_id": "UNIQUE_ID", + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "process_batch" + CATEGORY = "_for_testing/async" + + async def process_batch(self, images, process_time_per_item, unique_id): + batch_size = images.shape[0] + pbar = ProgressBar(batch_size, node_id=unique_id) + + # Process each image in the batch + processed = [] + for i in range(batch_size): + # Simulate async processing + await asyncio.sleep(process_time_per_item) + + # Simple processing: invert the image + processed_image = 1.0 - images[i:i+1] + processed.append(processed_image) + + pbar.update(1) + + # Stack processed images + result = torch.cat(processed, dim=0) + return (result,) + + +class TestAsyncConcurrentLimit(ComfyNodeABC): + """Test concurrent execution limits for async nodes.""" + + _semaphore = asyncio.Semaphore(2) # Only allow 2 concurrent executions + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": (IO.ANY, {}), + "duration": ("FLOAT", {"default": 0.5, "min": 0.1, "max": 2.0}), + "node_id": ("INT", {"default": 0}), + }, + } + + RETURN_TYPES = (IO.ANY,) + FUNCTION = "limited_execution" + CATEGORY = "_for_testing/async" + + async def limited_execution(self, value, duration, node_id): + async with self._semaphore: + # Node {node_id} acquired semaphore + await asyncio.sleep(duration) + # Node {node_id} releasing semaphore + return (value,) + + +# Add node mappings +ASYNC_TEST_NODE_CLASS_MAPPINGS = { + "TestAsyncValidation": TestAsyncValidation, + "TestAsyncError": TestAsyncError, + "TestAsyncValidationError": TestAsyncValidationError, + "TestAsyncTimeout": TestAsyncTimeout, + "TestSyncError": TestSyncError, + "TestAsyncLazyCheck": TestAsyncLazyCheck, + "TestDynamicAsyncGeneration": TestDynamicAsyncGeneration, + "TestAsyncResourceUser": TestAsyncResourceUser, + "TestAsyncBatchProcessing": TestAsyncBatchProcessing, + "TestAsyncConcurrentLimit": TestAsyncConcurrentLimit, +} + +ASYNC_TEST_NODE_DISPLAY_NAME_MAPPINGS = { + "TestAsyncValidation": "Test Async Validation", + "TestAsyncError": "Test Async Error", + "TestAsyncValidationError": "Test Async Validation Error", + "TestAsyncTimeout": "Test Async Timeout", + "TestSyncError": "Test Sync Error", + "TestAsyncLazyCheck": "Test Async Lazy Check", + "TestDynamicAsyncGeneration": "Test Dynamic Async Generation", + "TestAsyncResourceUser": "Test Async Resource User", + "TestAsyncBatchProcessing": "Test Async Batch Processing", + "TestAsyncConcurrentLimit": "Test Async Concurrent Limit", +} diff --git a/tests/execution/testing_nodes/testing-pack/conditions.py b/tests/execution/testing_nodes/testing-pack/conditions.py new file mode 100644 index 0000000000000000000000000000000000000000..0c200ee2892d4747d9ec6965b6d33f2223e3c08a --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/conditions.py @@ -0,0 +1,194 @@ +import re +import torch + +class TestIntConditions: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}), + "b": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}), + "operation": (["==", "!=", "<", ">", "<=", ">="],), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "int_condition" + + CATEGORY = "Testing/Logic" + + def int_condition(self, a, b, operation): + if operation == "==": + return (a == b,) + elif operation == "!=": + return (a != b,) + elif operation == "<": + return (a < b,) + elif operation == ">": + return (a > b,) + elif operation == "<=": + return (a <= b,) + elif operation == ">=": + return (a >= b,) + + +class TestFloatConditions: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}), + "b": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}), + "operation": (["==", "!=", "<", ">", "<=", ">="],), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "float_condition" + + CATEGORY = "Testing/Logic" + + def float_condition(self, a, b, operation): + if operation == "==": + return (a == b,) + elif operation == "!=": + return (a != b,) + elif operation == "<": + return (a < b,) + elif operation == ">": + return (a > b,) + elif operation == "<=": + return (a <= b,) + elif operation == ">=": + return (a >= b,) + +class TestStringConditions: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("STRING", {"multiline": False}), + "b": ("STRING", {"multiline": False}), + "operation": (["a == b", "a != b", "a IN b", "a MATCH REGEX(b)", "a BEGINSWITH b", "a ENDSWITH b"],), + "case_sensitive": ("BOOLEAN", {"default": True}), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "string_condition" + + CATEGORY = "Testing/Logic" + + def string_condition(self, a, b, operation, case_sensitive): + if not case_sensitive: + a = a.lower() + b = b.lower() + + if operation == "a == b": + return (a == b,) + elif operation == "a != b": + return (a != b,) + elif operation == "a IN b": + return (a in b,) + elif operation == "a MATCH REGEX(b)": + try: + return (re.match(b, a) is not None,) + except: + return (False,) + elif operation == "a BEGINSWITH b": + return (a.startswith(b),) + elif operation == "a ENDSWITH b": + return (a.endswith(b),) + +class TestToBoolNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("*",), + }, + "optional": { + "invert": ("BOOLEAN", {"default": False}), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "to_bool" + + CATEGORY = "Testing/Logic" + + def to_bool(self, value, invert = False): + if isinstance(value, torch.Tensor): + if value.max().item() == 0 and value.min().item() == 0: + result = False + else: + result = True + else: + try: + result = bool(value) + except: + # Can't convert it? Well then it's something or other. I dunno, I'm not a Python programmer. + result = True + + if invert: + result = not result + + return (result,) + +class TestBoolOperationNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("BOOLEAN",), + "b": ("BOOLEAN",), + "op": (["a AND b", "a OR b", "a XOR b", "NOT a"],), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "bool_operation" + + CATEGORY = "Testing/Logic" + + def bool_operation(self, a, b, op): + if op == "a AND b": + return (a and b,) + elif op == "a OR b": + return (a or b,) + elif op == "a XOR b": + return (a ^ b,) + elif op == "NOT a": + return (not a,) + + +CONDITION_NODE_CLASS_MAPPINGS = { + "TestIntConditions": TestIntConditions, + "TestFloatConditions": TestFloatConditions, + "TestStringConditions": TestStringConditions, + "TestToBoolNode": TestToBoolNode, + "TestBoolOperationNode": TestBoolOperationNode, +} + +CONDITION_NODE_DISPLAY_NAME_MAPPINGS = { + "TestIntConditions": "Int Condition", + "TestFloatConditions": "Float Condition", + "TestStringConditions": "String Condition", + "TestToBoolNode": "To Bool", + "TestBoolOperationNode": "Bool Operation", +} diff --git a/tests/execution/testing_nodes/testing-pack/flow_control.py b/tests/execution/testing_nodes/testing-pack/flow_control.py new file mode 100644 index 0000000000000000000000000000000000000000..ba943be6072f2003ebe1e6aa996d2dd8370c8c09 --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/flow_control.py @@ -0,0 +1,173 @@ +from comfy_execution.graph_utils import GraphBuilder, is_link +from comfy_execution.graph import ExecutionBlocker +from .tools import VariantSupport + +NUM_FLOW_SOCKETS = 5 +@VariantSupport() +class TestWhileLoopOpen: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "condition": ("BOOLEAN", {"default": True}), + }, + "optional": { + }, + } + for i in range(NUM_FLOW_SOCKETS): + inputs["optional"][f"initial_value{i}"] = ("*",) + return inputs + + RETURN_TYPES = tuple(["FLOW_CONTROL"] + ["*"] * NUM_FLOW_SOCKETS) + RETURN_NAMES = tuple(["FLOW_CONTROL"] + [f"value{i}" for i in range(NUM_FLOW_SOCKETS)]) + FUNCTION = "while_loop_open" + + CATEGORY = "Testing/Flow" + + def while_loop_open(self, condition, **kwargs): + values = [] + for i in range(NUM_FLOW_SOCKETS): + values.append(kwargs.get(f"initial_value{i}", None)) + return tuple(["stub"] + values) + +@VariantSupport() +class TestWhileLoopClose: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "flow_control": ("FLOW_CONTROL", {"rawLink": True}), + "condition": ("BOOLEAN", {"forceInput": True}), + }, + "optional": { + }, + "hidden": { + "dynprompt": "DYNPROMPT", + "unique_id": "UNIQUE_ID", + } + } + for i in range(NUM_FLOW_SOCKETS): + inputs["optional"][f"initial_value{i}"] = ("*",) + return inputs + + RETURN_TYPES = tuple(["*"] * NUM_FLOW_SOCKETS) + RETURN_NAMES = tuple([f"value{i}" for i in range(NUM_FLOW_SOCKETS)]) + FUNCTION = "while_loop_close" + + CATEGORY = "Testing/Flow" + + def explore_dependencies(self, node_id, dynprompt, upstream): + node_info = dynprompt.get_node(node_id) + if "inputs" not in node_info: + return + for k, v in node_info["inputs"].items(): + if is_link(v): + parent_id = v[0] + if parent_id not in upstream: + upstream[parent_id] = [] + self.explore_dependencies(parent_id, dynprompt, upstream) + upstream[parent_id].append(node_id) + + def collect_contained(self, node_id, upstream, contained): + if node_id not in upstream: + return + for child_id in upstream[node_id]: + if child_id not in contained: + contained[child_id] = True + self.collect_contained(child_id, upstream, contained) + + + def while_loop_close(self, flow_control, condition, dynprompt=None, unique_id=None, **kwargs): + assert dynprompt is not None + if not condition: + # We're done with the loop + values = [] + for i in range(NUM_FLOW_SOCKETS): + values.append(kwargs.get(f"initial_value{i}", None)) + return tuple(values) + + # We want to loop + upstream = {} + # Get the list of all nodes between the open and close nodes + self.explore_dependencies(unique_id, dynprompt, upstream) + + contained = {} + open_node = flow_control[0] + self.collect_contained(open_node, upstream, contained) + contained[unique_id] = True + contained[open_node] = True + + # We'll use the default prefix, but to avoid having node names grow exponentially in size, + # we'll use "Recurse" for the name of the recursively-generated copy of this node. + graph = GraphBuilder() + for node_id in contained: + original_node = dynprompt.get_node(node_id) + node = graph.node(original_node["class_type"], "Recurse" if node_id == unique_id else node_id) + node.set_override_display_id(node_id) + for node_id in contained: + original_node = dynprompt.get_node(node_id) + node = graph.lookup_node("Recurse" if node_id == unique_id else node_id) + assert node is not None + for k, v in original_node["inputs"].items(): + if is_link(v) and v[0] in contained: + parent = graph.lookup_node(v[0]) + assert parent is not None + node.set_input(k, parent.out(v[1])) + else: + node.set_input(k, v) + new_open = graph.lookup_node(open_node) + assert new_open is not None + for i in range(NUM_FLOW_SOCKETS): + key = f"initial_value{i}" + new_open.set_input(key, kwargs.get(key, None)) + my_clone = graph.lookup_node("Recurse") + assert my_clone is not None + result = map(lambda x: my_clone.out(x), range(NUM_FLOW_SOCKETS)) + return { + "result": tuple(result), + "expand": graph.finalize(), + } + +@VariantSupport() +class TestExecutionBlockerNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "input": ("*",), + "block": ("BOOLEAN",), + "verbose": ("BOOLEAN", {"default": False}), + }, + } + return inputs + + RETURN_TYPES = ("*",) + RETURN_NAMES = ("output",) + FUNCTION = "execution_blocker" + + CATEGORY = "Testing/Flow" + + def execution_blocker(self, input, block, verbose): + if block: + return (ExecutionBlocker("Blocked Execution" if verbose else None),) + return (input,) + +FLOW_CONTROL_NODE_CLASS_MAPPINGS = { + "TestWhileLoopOpen": TestWhileLoopOpen, + "TestWhileLoopClose": TestWhileLoopClose, + "TestExecutionBlocker": TestExecutionBlockerNode, +} +FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS = { + "TestWhileLoopOpen": "While Loop Open", + "TestWhileLoopClose": "While Loop Close", + "TestExecutionBlocker": "Execution Blocker", +} diff --git a/tests/execution/testing_nodes/testing-pack/specific_tests.py b/tests/execution/testing_nodes/testing-pack/specific_tests.py new file mode 100644 index 0000000000000000000000000000000000000000..4f8f01ae4a48bc46791f4c20851f12adbc0e8beb --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/specific_tests.py @@ -0,0 +1,519 @@ +import torch +import time +import asyncio +from comfy.utils import ProgressBar +from .tools import VariantSupport +from comfy_execution.graph_utils import GraphBuilder +from comfy.comfy_types.node_typing import ComfyNodeABC +from comfy.comfy_types import IO + +class TestLazyMixImages: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image1": ("IMAGE",{"lazy": True}), + "image2": ("IMAGE",{"lazy": True}), + "mask": ("MASK",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "mix" + + CATEGORY = "Testing/Nodes" + + def check_lazy_status(self, mask, image1, image2): + mask_min = mask.min() + mask_max = mask.max() + needed = [] + if image1 is None and (mask_min != 1.0 or mask_max != 1.0): + needed.append("image1") + if image2 is None and (mask_min != 0.0 or mask_max != 0.0): + needed.append("image2") + return needed + + # Not trying to handle different batch sizes here just to keep the demo simple + def mix(self, mask, image1, image2): + mask_min = mask.min() + mask_max = mask.max() + if mask_min == 0.0 and mask_max == 0.0: + return (image1,) + elif mask_min == 1.0 and mask_max == 1.0: + return (image2,) + + if len(mask.shape) == 2: + mask = mask.unsqueeze(0) + if len(mask.shape) == 3: + mask = mask.unsqueeze(3) + if mask.shape[3] < image1.shape[3]: + mask = mask.repeat(1, 1, 1, image1.shape[3]) + + result = image1 * (1. - mask) + image2 * mask, + return (result[0],) + +class TestVariadicAverage: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("IMAGE",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "variadic_average" + + CATEGORY = "Testing/Nodes" + + def variadic_average(self, input1, **kwargs): + inputs = [input1] + while 'input' + str(len(inputs) + 1) in kwargs: + inputs.append(kwargs['input' + str(len(inputs) + 1)]) + return (torch.stack(inputs).mean(dim=0),) + + +class TestCustomIsChanged: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + }, + "optional": { + "should_change": ("BOOL", {"default": False}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_is_changed" + + CATEGORY = "Testing/Nodes" + + def custom_is_changed(self, image, should_change=False): + return (image,) + + @classmethod + def IS_CHANGED(cls, should_change=False, *args, **kwargs): + if should_change: + return float("NaN") + else: + return False + +class TestIsChangedWithConstants: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "value": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_is_changed" + + CATEGORY = "Testing/Nodes" + + def custom_is_changed(self, image, value): + return (image * value,) + + @classmethod + def IS_CHANGED(cls, image, value): + if image is None: + return value + else: + return image.mean().item() * value + +class TestCustomValidation1: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("IMAGE,FLOAT",), + "input2": ("IMAGE,FLOAT",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_validation1" + + CATEGORY = "Testing/Nodes" + + def custom_validation1(self, input1, input2): + if isinstance(input1, float) and isinstance(input2, float): + result = torch.ones([1, 512, 512, 3]) * input1 * input2 + else: + result = input1 * input2 + return (result,) + + @classmethod + def VALIDATE_INPUTS(cls, input1=None, input2=None): + if input1 is not None: + if not isinstance(input1, (torch.Tensor, float)): + return f"Invalid type of input1: {type(input1)}" + if input2 is not None: + if not isinstance(input2, (torch.Tensor, float)): + return f"Invalid type of input2: {type(input2)}" + + return True + +class TestCustomValidation2: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("IMAGE,FLOAT",), + "input2": ("IMAGE,FLOAT",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_validation2" + + CATEGORY = "Testing/Nodes" + + def custom_validation2(self, input1, input2): + if isinstance(input1, float) and isinstance(input2, float): + result = torch.ones([1, 512, 512, 3]) * input1 * input2 + else: + result = input1 * input2 + return (result,) + + @classmethod + def VALIDATE_INPUTS(cls, input_types, input1=None, input2=None): + if input1 is not None: + if not isinstance(input1, (torch.Tensor, float)): + return f"Invalid type of input1: {type(input1)}" + if input2 is not None: + if not isinstance(input2, (torch.Tensor, float)): + return f"Invalid type of input2: {type(input2)}" + + if 'input1' in input_types: + if input_types['input1'] not in ["IMAGE", "FLOAT"]: + return f"Invalid type of input1: {input_types['input1']}" + if 'input2' in input_types: + if input_types['input2'] not in ["IMAGE", "FLOAT"]: + return f"Invalid type of input2: {input_types['input2']}" + + return True + +@VariantSupport() +class TestCustomValidation3: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("IMAGE,FLOAT",), + "input2": ("IMAGE,FLOAT",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_validation3" + + CATEGORY = "Testing/Nodes" + + def custom_validation3(self, input1, input2): + if isinstance(input1, float) and isinstance(input2, float): + result = torch.ones([1, 512, 512, 3]) * input1 * input2 + else: + result = input1 * input2 + return (result,) + +class TestCustomValidation4: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("FLOAT",), + "input2": ("FLOAT",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_validation4" + + CATEGORY = "Testing/Nodes" + + def custom_validation4(self, input1, input2): + result = torch.ones([1, 512, 512, 3]) * input1 * input2 + return (result,) + + @classmethod + def VALIDATE_INPUTS(cls, input1, input2): + if input1 is not None: + if not isinstance(input1, float): + return f"Invalid type of input1: {type(input1)}" + if input2 is not None: + if not isinstance(input2, float): + return f"Invalid type of input2: {type(input2)}" + + return True + +class TestCustomValidation5: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("FLOAT", {"min": 0.0, "max": 1.0}), + "input2": ("FLOAT", {"min": 0.0, "max": 1.0}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "custom_validation5" + + CATEGORY = "Testing/Nodes" + + def custom_validation5(self, input1, input2): + value = input1 * input2 + return (torch.ones([1, 512, 512, 3]) * value,) + + @classmethod + def VALIDATE_INPUTS(cls, **kwargs): + if kwargs['input2'] == 7.0: + return "7s are not allowed. I've never liked 7s." + return True + +class TestDynamicDependencyCycle: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("IMAGE",), + "input2": ("IMAGE",), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "dynamic_dependency_cycle" + + CATEGORY = "Testing/Nodes" + + def dynamic_dependency_cycle(self, input1, input2): + g = GraphBuilder() + mask = g.node("StubMask", value=0.5, height=512, width=512, batch_size=1) + mix1 = g.node("TestLazyMixImages", image1=input1, mask=mask.out(0)) + mix2 = g.node("TestLazyMixImages", image1=mix1.out(0), image2=input2, mask=mask.out(0)) + + # Create the cyle + mix1.set_input("image2", mix2.out(0)) + + return { + "result": (mix2.out(0),), + "expand": g.finalize(), + } + +class TestMixedExpansionReturns: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input1": ("FLOAT",), + }, + } + + RETURN_TYPES = ("IMAGE","IMAGE") + FUNCTION = "mixed_expansion_returns" + + CATEGORY = "Testing/Nodes" + + def mixed_expansion_returns(self, input1): + white_image = torch.ones([1, 512, 512, 3]) + if input1 <= 0.1: + return (torch.ones([1, 512, 512, 3]) * 0.1, white_image) + elif input1 <= 0.2: + return { + "result": (torch.ones([1, 512, 512, 3]) * 0.2, white_image), + } + else: + g = GraphBuilder() + mask = g.node("StubMask", value=0.3, height=512, width=512, batch_size=1) + black = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1) + white = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1) + mix = g.node("TestLazyMixImages", image1=black.out(0), image2=white.out(0), mask=mask.out(0)) + return { + "result": (mix.out(0), white_image), + "expand": g.finalize(), + } + +class TestSamplingInExpansion: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "model": ("MODEL",), + "clip": ("CLIP",), + "vae": ("VAE",), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "steps": ("INT", {"default": 20, "min": 1, "max": 100}), + "cfg": ("FLOAT", {"default": 7.0, "min": 0.0, "max": 30.0}), + "prompt": ("STRING", {"multiline": True, "default": "a beautiful landscape with mountains and trees"}), + "negative_prompt": ("STRING", {"multiline": True, "default": "blurry, bad quality, worst quality"}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "sampling_in_expansion" + + CATEGORY = "Testing/Nodes" + + def sampling_in_expansion(self, model, clip, vae, seed, steps, cfg, prompt, negative_prompt): + g = GraphBuilder() + + # Create a basic image generation workflow using the input model, clip and vae + # 1. Setup text prompts using the provided CLIP model + positive_prompt = g.node("CLIPTextEncode", + text=prompt, + clip=clip) + negative_prompt = g.node("CLIPTextEncode", + text=negative_prompt, + clip=clip) + + # 2. Create empty latent with specified size + empty_latent = g.node("EmptyLatentImage", width=512, height=512, batch_size=1) + + # 3. Setup sampler and generate image latent + sampler = g.node("KSampler", + model=model, + positive=positive_prompt.out(0), + negative=negative_prompt.out(0), + latent_image=empty_latent.out(0), + seed=seed, + steps=steps, + cfg=cfg, + sampler_name="euler_ancestral", + scheduler="normal") + + # 4. Decode latent to image using VAE + output = g.node("VAEDecode", samples=sampler.out(0), vae=vae) + + return { + "result": (output.out(0),), + "expand": g.finalize(), + } + +class TestSleep(ComfyNodeABC): + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": (IO.ANY, {}), + "seconds": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 0.01, "tooltip": "The amount of seconds to sleep."}), + }, + "hidden": { + "unique_id": "UNIQUE_ID", + }, + } + RETURN_TYPES = (IO.ANY,) + FUNCTION = "sleep" + + CATEGORY = "_for_testing" + + async def sleep(self, value, seconds, unique_id): + pbar = ProgressBar(seconds, node_id=unique_id) + start = time.time() + expiration = start + seconds + now = start + while now < expiration: + now = time.time() + pbar.update_absolute(now - start) + await asyncio.sleep(0.01) + return (value,) + +class TestParallelSleep(ComfyNodeABC): + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image1": ("IMAGE", ), + "image2": ("IMAGE", ), + "image3": ("IMAGE", ), + "sleep1": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step": 0.01}), + "sleep2": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step": 0.01}), + "sleep3": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step": 0.01}), + }, + "hidden": { + "unique_id": "UNIQUE_ID", + }, + } + RETURN_TYPES = ("IMAGE",) + FUNCTION = "parallel_sleep" + CATEGORY = "_for_testing" + OUTPUT_NODE = True + + def parallel_sleep(self, image1, image2, image3, sleep1, sleep2, sleep3, unique_id): + # Create a graph dynamically with three TestSleep nodes + g = GraphBuilder() + + # Create sleep nodes for each duration and image + sleep_node1 = g.node("TestSleep", value=image1, seconds=sleep1) + sleep_node2 = g.node("TestSleep", value=image2, seconds=sleep2) + sleep_node3 = g.node("TestSleep", value=image3, seconds=sleep3) + + # Blend the results using TestVariadicAverage + blend = g.node("TestVariadicAverage", + input1=sleep_node1.out(0), + input2=sleep_node2.out(0), + input3=sleep_node3.out(0)) + + return { + "result": (blend.out(0),), + "expand": g.finalize(), + } + +class TestOutputNodeWithSocketOutput: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "value": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0}), + }, + } + RETURN_TYPES = ("IMAGE",) + FUNCTION = "process" + CATEGORY = "_for_testing" + OUTPUT_NODE = True + + def process(self, image, value): + # Apply value scaling and return both as output and socket + result = image * value + return (result,) + +TEST_NODE_CLASS_MAPPINGS = { + "TestLazyMixImages": TestLazyMixImages, + "TestVariadicAverage": TestVariadicAverage, + "TestCustomIsChanged": TestCustomIsChanged, + "TestIsChangedWithConstants": TestIsChangedWithConstants, + "TestCustomValidation1": TestCustomValidation1, + "TestCustomValidation2": TestCustomValidation2, + "TestCustomValidation3": TestCustomValidation3, + "TestCustomValidation4": TestCustomValidation4, + "TestCustomValidation5": TestCustomValidation5, + "TestDynamicDependencyCycle": TestDynamicDependencyCycle, + "TestMixedExpansionReturns": TestMixedExpansionReturns, + "TestSamplingInExpansion": TestSamplingInExpansion, + "TestSleep": TestSleep, + "TestParallelSleep": TestParallelSleep, + "TestOutputNodeWithSocketOutput": TestOutputNodeWithSocketOutput, +} + +TEST_NODE_DISPLAY_NAME_MAPPINGS = { + "TestLazyMixImages": "Lazy Mix Images", + "TestVariadicAverage": "Variadic Average", + "TestCustomIsChanged": "Custom IsChanged", + "TestIsChangedWithConstants": "IsChanged With Constants", + "TestCustomValidation1": "Custom Validation 1", + "TestCustomValidation2": "Custom Validation 2", + "TestCustomValidation3": "Custom Validation 3", + "TestCustomValidation4": "Custom Validation 4", + "TestCustomValidation5": "Custom Validation 5", + "TestDynamicDependencyCycle": "Dynamic Dependency Cycle", + "TestMixedExpansionReturns": "Mixed Expansion Returns", + "TestSamplingInExpansion": "Sampling In Expansion", + "TestSleep": "Test Sleep", + "TestParallelSleep": "Test Parallel Sleep", + "TestOutputNodeWithSocketOutput": "Test Output Node With Socket Output", +} diff --git a/tests/execution/testing_nodes/testing-pack/stubs.py b/tests/execution/testing_nodes/testing-pack/stubs.py new file mode 100644 index 0000000000000000000000000000000000000000..a1df87529c65ffa46db64cc197f54aef376ff8c0 --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/stubs.py @@ -0,0 +1,129 @@ +import torch + +class StubImage: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "content": (['WHITE', 'BLACK', 'NOISE'],), + "height": ("INT", {"default": 512, "min": 1, "max": 1024 ** 3, "step": 1}), + "width": ("INT", {"default": 512, "min": 1, "max": 4096 ** 3, "step": 1}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 1024 ** 3, "step": 1}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "stub_image" + + CATEGORY = "Testing/Stub Nodes" + + def stub_image(self, content, height, width, batch_size): + if content == "WHITE": + return (torch.ones(batch_size, height, width, 3),) + elif content == "BLACK": + return (torch.zeros(batch_size, height, width, 3),) + elif content == "NOISE": + return (torch.rand(batch_size, height, width, 3),) + +class StubConstantImage: + def __init__(self): + pass + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + "height": ("INT", {"default": 512, "min": 1, "max": 1024 ** 3, "step": 1}), + "width": ("INT", {"default": 512, "min": 1, "max": 4096 ** 3, "step": 1}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 1024 ** 3, "step": 1}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "stub_constant_image" + + CATEGORY = "Testing/Stub Nodes" + + def stub_constant_image(self, value, height, width, batch_size): + return (torch.ones(batch_size, height, width, 3) * value,) + +class StubMask: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + "height": ("INT", {"default": 512, "min": 1, "max": 1024 ** 3, "step": 1}), + "width": ("INT", {"default": 512, "min": 1, "max": 4096 ** 3, "step": 1}), + "batch_size": ("INT", {"default": 1, "min": 1, "max": 1024 ** 3, "step": 1}), + }, + } + + RETURN_TYPES = ("MASK",) + FUNCTION = "stub_mask" + + CATEGORY = "Testing/Stub Nodes" + + def stub_mask(self, value, height, width, batch_size): + return (torch.ones(batch_size, height, width) * value,) + +class StubInt: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("INT", {"default": 0, "min": -0xffffffff, "max": 0xffffffff, "step": 1}), + }, + } + + RETURN_TYPES = ("INT",) + FUNCTION = "stub_int" + + CATEGORY = "Testing/Stub Nodes" + + def stub_int(self, value): + return (value,) + +class StubFloat: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value": ("FLOAT", {"default": 0.0, "min": -1.0e38, "max": 1.0e38, "step": 0.01}), + }, + } + + RETURN_TYPES = ("FLOAT",) + FUNCTION = "stub_float" + + CATEGORY = "Testing/Stub Nodes" + + def stub_float(self, value): + return (value,) + +TEST_STUB_NODE_CLASS_MAPPINGS = { + "StubImage": StubImage, + "StubConstantImage": StubConstantImage, + "StubMask": StubMask, + "StubInt": StubInt, + "StubFloat": StubFloat, +} +TEST_STUB_NODE_DISPLAY_NAME_MAPPINGS = { + "StubImage": "Stub Image", + "StubConstantImage": "Stub Constant Image", + "StubMask": "Stub Mask", + "StubInt": "Stub Int", + "StubFloat": "Stub Float", +} diff --git a/tests/execution/testing_nodes/testing-pack/tools.py b/tests/execution/testing_nodes/testing-pack/tools.py new file mode 100644 index 0000000000000000000000000000000000000000..34b28c0eb4892cdbc4e7575e651719f48ca917e9 --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/tools.py @@ -0,0 +1,53 @@ + +def MakeSmartType(t): + if isinstance(t, str): + return SmartType(t) + return t + +class SmartType(str): + def __ne__(self, other): + if self == "*" or other == "*": + return False + selfset = set(self.split(',')) + otherset = set(other.split(',')) + return not selfset.issubset(otherset) + +def VariantSupport(): + def decorator(cls): + if hasattr(cls, "INPUT_TYPES"): + old_input_types = getattr(cls, "INPUT_TYPES") + def new_input_types(*args, **kwargs): + types = old_input_types(*args, **kwargs) + for category in ["required", "optional"]: + if category not in types: + continue + for key, value in types[category].items(): + if isinstance(value, tuple): + types[category][key] = (MakeSmartType(value[0]),) + value[1:] + return types + setattr(cls, "INPUT_TYPES", new_input_types) + if hasattr(cls, "RETURN_TYPES"): + old_return_types = cls.RETURN_TYPES + setattr(cls, "RETURN_TYPES", tuple(MakeSmartType(x) for x in old_return_types)) + if hasattr(cls, "VALIDATE_INPUTS"): + # Reflection is used to determine what the function signature is, so we can't just change the function signature + raise NotImplementedError("VariantSupport does not support VALIDATE_INPUTS yet") + else: + def validate_inputs(input_types): + inputs = cls.INPUT_TYPES() + for key, value in input_types.items(): + if isinstance(value, SmartType): + continue + if "required" in inputs and key in inputs["required"]: + expected_type = inputs["required"][key][0] + elif "optional" in inputs and key in inputs["optional"]: + expected_type = inputs["optional"][key][0] + else: + expected_type = None + if expected_type is not None and MakeSmartType(value) != expected_type: + return f"Invalid type of {key}: {value} (expected {expected_type})" + return True + setattr(cls, "VALIDATE_INPUTS", validate_inputs) + return cls + return decorator + diff --git a/tests/execution/testing_nodes/testing-pack/util.py b/tests/execution/testing_nodes/testing-pack/util.py new file mode 100644 index 0000000000000000000000000000000000000000..17741c5f1dff2eeff86fec5173e675bf9ac6cf3b --- /dev/null +++ b/tests/execution/testing_nodes/testing-pack/util.py @@ -0,0 +1,364 @@ +from comfy_execution.graph_utils import GraphBuilder +from .tools import VariantSupport + +@VariantSupport() +class TestAccumulateNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "to_add": ("*",), + }, + "optional": { + "accumulation": ("ACCUMULATION",), + }, + } + + RETURN_TYPES = ("ACCUMULATION",) + FUNCTION = "accumulate" + + CATEGORY = "Testing/Lists" + + def accumulate(self, to_add, accumulation = None): + if accumulation is None: + value = [to_add] + else: + value = accumulation["accum"] + [to_add] + return ({"accum": value},) + +@VariantSupport() +class TestAccumulationHeadNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "accumulation": ("ACCUMULATION",), + }, + } + + RETURN_TYPES = ("ACCUMULATION", "*",) + FUNCTION = "accumulation_head" + + CATEGORY = "Testing/Lists" + + def accumulation_head(self, accumulation): + accum = accumulation["accum"] + if len(accum) == 0: + return (accumulation, None) + else: + return ({"accum": accum[1:]}, accum[0]) + +class TestAccumulationTailNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "accumulation": ("ACCUMULATION",), + }, + } + + RETURN_TYPES = ("ACCUMULATION", "*",) + FUNCTION = "accumulation_tail" + + CATEGORY = "Testing/Lists" + + def accumulation_tail(self, accumulation): + accum = accumulation["accum"] + if len(accum) == 0: + return (None, accumulation) + else: + return ({"accum": accum[:-1]}, accum[-1]) + +@VariantSupport() +class TestAccumulationToListNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "accumulation": ("ACCUMULATION",), + }, + } + + RETURN_TYPES = ("*",) + OUTPUT_IS_LIST = (True,) + + FUNCTION = "accumulation_to_list" + + CATEGORY = "Testing/Lists" + + def accumulation_to_list(self, accumulation): + return (accumulation["accum"],) + +@VariantSupport() +class TestListToAccumulationNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "list": ("*",), + }, + } + + RETURN_TYPES = ("ACCUMULATION",) + INPUT_IS_LIST = (True,) + + FUNCTION = "list_to_accumulation" + + CATEGORY = "Testing/Lists" + + def list_to_accumulation(self, list): + return ({"accum": list},) + +@VariantSupport() +class TestAccumulationGetLengthNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "accumulation": ("ACCUMULATION",), + }, + } + + RETURN_TYPES = ("INT",) + + FUNCTION = "accumlength" + + CATEGORY = "Testing/Lists" + + def accumlength(self, accumulation): + return (len(accumulation['accum']),) + +@VariantSupport() +class TestAccumulationGetItemNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "accumulation": ("ACCUMULATION",), + "index": ("INT", {"default":0, "step":1}) + }, + } + + RETURN_TYPES = ("*",) + + FUNCTION = "get_item" + + CATEGORY = "Testing/Lists" + + def get_item(self, accumulation, index): + return (accumulation['accum'][index],) + +@VariantSupport() +class TestAccumulationSetItemNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "accumulation": ("ACCUMULATION",), + "index": ("INT", {"default":0, "step":1}), + "value": ("*",), + }, + } + + RETURN_TYPES = ("ACCUMULATION",) + + FUNCTION = "set_item" + + CATEGORY = "Testing/Lists" + + def set_item(self, accumulation, index, value): + new_accum = accumulation['accum'][:] + new_accum[index] = value + return ({"accum": new_accum},) + +class TestIntMathOperation: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}), + "b": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}), + "operation": (["add", "subtract", "multiply", "divide", "modulo", "power"],), + }, + } + + RETURN_TYPES = ("INT",) + FUNCTION = "int_math_operation" + + CATEGORY = "Testing/Logic" + + def int_math_operation(self, a, b, operation): + if operation == "add": + return (a + b,) + elif operation == "subtract": + return (a - b,) + elif operation == "multiply": + return (a * b,) + elif operation == "divide": + return (a // b,) + elif operation == "modulo": + return (a % b,) + elif operation == "power": + return (a ** b,) + + +from .flow_control import NUM_FLOW_SOCKETS +@VariantSupport() +class TestForLoopOpen: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "remaining": ("INT", {"default": 1, "min": 0, "max": 100000, "step": 1}), + }, + "optional": { + f"initial_value{i}": ("*",) for i in range(1, NUM_FLOW_SOCKETS) + }, + "hidden": { + "initial_value0": ("*",) + } + } + + RETURN_TYPES = tuple(["FLOW_CONTROL", "INT",] + ["*"] * (NUM_FLOW_SOCKETS-1)) + RETURN_NAMES = tuple(["flow_control", "remaining"] + [f"value{i}" for i in range(1, NUM_FLOW_SOCKETS)]) + FUNCTION = "for_loop_open" + + CATEGORY = "Testing/Flow" + + def for_loop_open(self, remaining, **kwargs): + graph = GraphBuilder() + if "initial_value0" in kwargs: + remaining = kwargs["initial_value0"] + graph.node("TestWhileLoopOpen", condition=remaining, initial_value0=remaining, **{(f"initial_value{i}"): kwargs.get(f"initial_value{i}", None) for i in range(1, NUM_FLOW_SOCKETS)}) + outputs = [kwargs.get(f"initial_value{i}", None) for i in range(1, NUM_FLOW_SOCKETS)] + return { + "result": tuple(["stub", remaining] + outputs), + "expand": graph.finalize(), + } + +@VariantSupport() +class TestForLoopClose: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "flow_control": ("FLOW_CONTROL", {"rawLink": True}), + }, + "optional": { + f"initial_value{i}": ("*",{"rawLink": True}) for i in range(1, NUM_FLOW_SOCKETS) + }, + } + + RETURN_TYPES = tuple(["*"] * (NUM_FLOW_SOCKETS-1)) + RETURN_NAMES = tuple([f"value{i}" for i in range(1, NUM_FLOW_SOCKETS)]) + FUNCTION = "for_loop_close" + + CATEGORY = "Testing/Flow" + + def for_loop_close(self, flow_control, **kwargs): + graph = GraphBuilder() + while_open = flow_control[0] + sub = graph.node("TestIntMathOperation", operation="subtract", a=[while_open,1], b=1) + cond = graph.node("TestToBoolNode", value=sub.out(0)) + input_values = {f"initial_value{i}": kwargs.get(f"initial_value{i}", None) for i in range(1, NUM_FLOW_SOCKETS)} + while_close = graph.node("TestWhileLoopClose", + flow_control=flow_control, + condition=cond.out(0), + initial_value0=sub.out(0), + **input_values) + return { + "result": tuple([while_close.out(i) for i in range(1, NUM_FLOW_SOCKETS)]), + "expand": graph.finalize(), + } + +NUM_LIST_SOCKETS = 10 +@VariantSupport() +class TestMakeListNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "value1": ("*",), + }, + "optional": { + f"value{i}": ("*",) for i in range(1, NUM_LIST_SOCKETS) + }, + } + + RETURN_TYPES = ("*",) + FUNCTION = "make_list" + OUTPUT_IS_LIST = (True,) + + CATEGORY = "Testing/Lists" + + def make_list(self, **kwargs): + result = [] + for i in range(NUM_LIST_SOCKETS): + if f"value{i}" in kwargs: + result.append(kwargs[f"value{i}"]) + return (result,) + +UTILITY_NODE_CLASS_MAPPINGS = { + "TestAccumulateNode": TestAccumulateNode, + "TestAccumulationHeadNode": TestAccumulationHeadNode, + "TestAccumulationTailNode": TestAccumulationTailNode, + "TestAccumulationToListNode": TestAccumulationToListNode, + "TestListToAccumulationNode": TestListToAccumulationNode, + "TestAccumulationGetLengthNode": TestAccumulationGetLengthNode, + "TestAccumulationGetItemNode": TestAccumulationGetItemNode, + "TestAccumulationSetItemNode": TestAccumulationSetItemNode, + "TestForLoopOpen": TestForLoopOpen, + "TestForLoopClose": TestForLoopClose, + "TestIntMathOperation": TestIntMathOperation, + "TestMakeListNode": TestMakeListNode, +} +UTILITY_NODE_DISPLAY_NAME_MAPPINGS = { + "TestAccumulateNode": "Accumulate", + "TestAccumulationHeadNode": "Accumulation Head", + "TestAccumulationTailNode": "Accumulation Tail", + "TestAccumulationToListNode": "Accumulation to List", + "TestListToAccumulationNode": "List to Accumulation", + "TestAccumulationGetLengthNode": "Accumulation Get Length", + "TestAccumulationGetItemNode": "Accumulation Get Item", + "TestAccumulationSetItemNode": "Accumulation Set Item", + "TestForLoopOpen": "For Loop Open", + "TestForLoopClose": "For Loop Close", + "TestIntMathOperation": "Int Math Operation", + "TestMakeListNode": "Make List", +} diff --git a/tests/inference/__init__.py b/tests/inference/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tests/inference/graphs/default_graph_sdxl1_0.json b/tests/inference/graphs/default_graph_sdxl1_0.json new file mode 100644 index 0000000000000000000000000000000000000000..c06c6829c6253cc71982f3714620bd10dd41bd73 --- /dev/null +++ b/tests/inference/graphs/default_graph_sdxl1_0.json @@ -0,0 +1,144 @@ +{ + "4": { + "inputs": { + "ckpt_name": "sd_xl_base_1.0.safetensors" + }, + "class_type": "CheckpointLoaderSimple" + }, + "5": { + "inputs": { + "width": 1024, + "height": 1024, + "batch_size": 1 + }, + "class_type": "EmptyLatentImage" + }, + "6": { + "inputs": { + "text": "a photo of a cat", + "clip": [ + "4", + 1 + ] + }, + "class_type": "CLIPTextEncode" + }, + "10": { + "inputs": { + "add_noise": "enable", + "noise_seed": 42, + "steps": 20, + "cfg": 7.5, + "sampler_name": "euler", + "scheduler": "normal", + "start_at_step": 0, + "end_at_step": 32, + "return_with_leftover_noise": "enable", + "model": [ + "4", + 0 + ], + "positive": [ + "6", + 0 + ], + "negative": [ + "15", + 0 + ], + "latent_image": [ + "5", + 0 + ] + }, + "class_type": "KSamplerAdvanced" + }, + "12": { + "inputs": { + "samples": [ + "14", + 0 + ], + "vae": [ + "4", + 2 + ] + }, + "class_type": "VAEDecode" + }, + "13": { + "inputs": { + "filename_prefix": "test_inference", + "images": [ + "12", + 0 + ] + }, + "class_type": "SaveImage" + }, + "14": { + "inputs": { + "add_noise": "disable", + "noise_seed": 42, + "steps": 20, + "cfg": 7.5, + "sampler_name": "euler", + "scheduler": "normal", + "start_at_step": 32, + "end_at_step": 10000, + "return_with_leftover_noise": "disable", + "model": [ + "16", + 0 + ], + "positive": [ + "17", + 0 + ], + "negative": [ + "20", + 0 + ], + "latent_image": [ + "10", + 0 + ] + }, + "class_type": "KSamplerAdvanced" + }, + "15": { + "inputs": { + "conditioning": [ + "6", + 0 + ] + }, + "class_type": "ConditioningZeroOut" + }, + "16": { + "inputs": { + "ckpt_name": "sd_xl_refiner_1.0.safetensors" + }, + "class_type": "CheckpointLoaderSimple" + }, + "17": { + "inputs": { + "text": "a photo of a cat", + "clip": [ + "16", + 1 + ] + }, + "class_type": "CLIPTextEncode" + }, + "20": { + "inputs": { + "text": "", + "clip": [ + "16", + 1 + ] + }, + "class_type": "CLIPTextEncode" + } + } \ No newline at end of file diff --git a/tests/inference/test_inference.py b/tests/inference/test_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..7e4a206c41d95d5740c9c8b6e6c9071ad0ee86ce --- /dev/null +++ b/tests/inference/test_inference.py @@ -0,0 +1,237 @@ +from copy import deepcopy +from io import BytesIO +import numpy +import os +from PIL import Image +import pytest +from pytest import fixture +import time +import torch +from typing import Union +import json +import subprocess +import websocket #NOTE: websocket-client (https://github.com/websocket-client/websocket-client) +import uuid +import urllib.request +import urllib.parse + + +from comfy.samplers import KSampler + +""" +These tests generate and save images through a range of parameters +""" + +class ComfyGraph: + def __init__(self, + graph: dict, + sampler_nodes: list[str], + ): + self.graph = graph + self.sampler_nodes = sampler_nodes + + def set_prompt(self, prompt, negative_prompt=None): + # Sets the prompt for the sampler nodes (eg. base and refiner) + for node in self.sampler_nodes: + prompt_node = self.graph[node]['inputs']['positive'][0] + self.graph[prompt_node]['inputs']['text'] = prompt + if negative_prompt: + negative_prompt_node = self.graph[node]['inputs']['negative'][0] + self.graph[negative_prompt_node]['inputs']['text'] = negative_prompt + + def set_sampler_name(self, sampler_name:str, ): + # sets the sampler name for the sampler nodes (eg. base and refiner) + for node in self.sampler_nodes: + self.graph[node]['inputs']['sampler_name'] = sampler_name + + def set_scheduler(self, scheduler:str): + # sets the sampler name for the sampler nodes (eg. base and refiner) + for node in self.sampler_nodes: + self.graph[node]['inputs']['scheduler'] = scheduler + + def set_filename_prefix(self, prefix:str): + # sets the filename prefix for the save nodes + for node in self.graph: + if self.graph[node]['class_type'] == 'SaveImage': + self.graph[node]['inputs']['filename_prefix'] = prefix + + +class ComfyClient: + # From examples/websockets_api_example.py + + def connect(self, + listen:str = '127.0.0.1', + port:Union[str,int] = 8188, + client_id: str = str(uuid.uuid4()) + ): + self.client_id = client_id + self.server_address = f"{listen}:{port}" + ws = websocket.WebSocket() + ws.connect("ws://{}/ws?clientId={}".format(self.server_address, self.client_id)) + self.ws = ws + + def queue_prompt(self, prompt): + p = {"prompt": prompt, "client_id": self.client_id} + data = json.dumps(p).encode('utf-8') + req = urllib.request.Request("http://{}/prompt".format(self.server_address), data=data) + return json.loads(urllib.request.urlopen(req).read()) + + def get_image(self, filename, subfolder, folder_type): + data = {"filename": filename, "subfolder": subfolder, "type": folder_type} + url_values = urllib.parse.urlencode(data) + with urllib.request.urlopen("http://{}/view?{}".format(self.server_address, url_values)) as response: + return response.read() + + def get_history(self, prompt_id): + with urllib.request.urlopen("http://{}/history/{}".format(self.server_address, prompt_id)) as response: + return json.loads(response.read()) + + def get_images(self, graph, save=True): + prompt = graph + if not save: + # Replace save nodes with preview nodes + prompt_str = json.dumps(prompt) + prompt_str = prompt_str.replace('SaveImage', 'PreviewImage') + prompt = json.loads(prompt_str) + + prompt_id = self.queue_prompt(prompt)['prompt_id'] + output_images = {} + while True: + out = self.ws.recv() + if isinstance(out, str): + message = json.loads(out) + if message['type'] == 'executing': + data = message['data'] + if data['node'] is None and data['prompt_id'] == prompt_id: + break #Execution is done + else: + continue #previews are binary data + + history = self.get_history(prompt_id)[prompt_id] + for node_id in history['outputs']: + node_output = history['outputs'][node_id] + images_output = [] + if 'images' in node_output: + for image in node_output['images']: + image_data = self.get_image(image['filename'], image['subfolder'], image['type']) + images_output.append(image_data) + output_images[node_id] = images_output + + return output_images + +# +# Initialize graphs +# +default_graph_file = 'tests/inference/graphs/default_graph_sdxl1_0.json' +with open(default_graph_file, 'r') as file: + default_graph = json.loads(file.read()) +DEFAULT_COMFY_GRAPH = ComfyGraph(graph=default_graph, sampler_nodes=['10','14']) +DEFAULT_COMFY_GRAPH_ID = os.path.splitext(os.path.basename(default_graph_file))[0] + +# +# Loop through these variables +# +comfy_graph_list = [DEFAULT_COMFY_GRAPH] +comfy_graph_ids = [DEFAULT_COMFY_GRAPH_ID] +prompt_list = [ + 'a painting of a cat', +] + +sampler_list = KSampler.SAMPLERS +scheduler_list = KSampler.SCHEDULERS + +@pytest.mark.inference +@pytest.mark.parametrize("sampler", sampler_list) +@pytest.mark.parametrize("scheduler", scheduler_list) +@pytest.mark.parametrize("prompt", prompt_list) +class TestInference: + # + # Initialize server and client + # + @fixture(scope="class", autouse=True) + def _server(self, args_pytest): + # Start server + p = subprocess.Popen([ + 'python','main.py', + '--output-directory', args_pytest["output_dir"], + '--listen', args_pytest["listen"], + '--port', str(args_pytest["port"]), + ]) + yield + p.kill() + torch.cuda.empty_cache() + + def start_client(self, listen:str, port:int): + # Start client + comfy_client = ComfyClient() + # Connect to server (with retries) + n_tries = 5 + for i in range(n_tries): + time.sleep(4) + try: + comfy_client.connect(listen=listen, port=port) + except ConnectionRefusedError as e: + print(e) # noqa: T201 + print(f"({i+1}/{n_tries}) Retrying...") # noqa: T201 + else: + break + return comfy_client + + # + # Client and graph fixtures with server warmup + # + # Returns a "_client_graph", which is client-graph pair corresponding to an initialized server + # The "graph" is the default graph + @fixture(scope="class", params=comfy_graph_list, ids=comfy_graph_ids, autouse=True) + def _client_graph(self, request, args_pytest, _server) -> (ComfyClient, ComfyGraph): + comfy_graph = request.param + + # Start client + comfy_client = self.start_client(args_pytest["listen"], args_pytest["port"]) + + # Warm up pipeline + comfy_client.get_images(graph=comfy_graph.graph, save=False) + + yield comfy_client, comfy_graph + del comfy_client + del comfy_graph + torch.cuda.empty_cache() + + @fixture + def client(self, _client_graph): + client = _client_graph[0] + yield client + + @fixture + def comfy_graph(self, _client_graph): + # avoid mutating the graph + graph = deepcopy(_client_graph[1]) + yield graph + + def test_comfy( + self, + client, + comfy_graph, + sampler, + scheduler, + prompt, + request + ): + test_info = request.node.name + comfy_graph.set_filename_prefix(test_info) + # Settings for comfy graph + comfy_graph.set_sampler_name(sampler) + comfy_graph.set_scheduler(scheduler) + comfy_graph.set_prompt(prompt) + + # Generate + images = client.get_images(comfy_graph.graph) + + assert len(images) != 0, "No images generated" + # assert all images are not blank + for images_output in images.values(): + for image_data in images_output: + pil_image = Image.open(BytesIO(image_data)) + assert numpy.array(pil_image).any() != 0, "Image is blank" + + diff --git a/utils/__init__.py b/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/utils/extra_config.py b/utils/extra_config.py new file mode 100644 index 0000000000000000000000000000000000000000..a0fcda9e8900ee2c67d79a1e588ff973f9ea7ea6 --- /dev/null +++ b/utils/extra_config.py @@ -0,0 +1,34 @@ +import os +import yaml +import folder_paths +import logging + +def load_extra_path_config(yaml_path): + with open(yaml_path, 'r', encoding='utf-8') as stream: + config = yaml.safe_load(stream) + yaml_dir = os.path.dirname(os.path.abspath(yaml_path)) + for c in config: + conf = config[c] + if conf is None: + continue + base_path = None + if "base_path" in conf: + base_path = conf.pop("base_path") + base_path = os.path.expandvars(os.path.expanduser(base_path)) + if not os.path.isabs(base_path): + base_path = os.path.abspath(os.path.join(yaml_dir, base_path)) + is_default = False + if "is_default" in conf: + is_default = conf.pop("is_default") + for x in conf: + for y in conf[x].split("\n"): + if len(y) == 0: + continue + full_path = y + if base_path: + full_path = os.path.join(base_path, full_path) + elif not os.path.isabs(full_path): + full_path = os.path.abspath(os.path.join(yaml_dir, y)) + normalized_path = os.path.normpath(full_path) + logging.info("Adding extra search path {} {}".format(x, normalized_path)) + folder_paths.add_model_folder_path(x, normalized_path, is_default) diff --git a/utils/install_util.py b/utils/install_util.py new file mode 100644 index 0000000000000000000000000000000000000000..0f59bcf9193570a36641bd4e0c70c80d05be1a0f --- /dev/null +++ b/utils/install_util.py @@ -0,0 +1,18 @@ +from pathlib import Path +import sys + +# The path to the requirements.txt file +requirements_path = Path(__file__).parents[1] / "requirements.txt" + + +def get_missing_requirements_message(): + """The warning message to display when a package is missing.""" + + extra = "" + if sys.flags.no_user_site: + extra = "-s " + return f""" +Please install the updated requirements.txt file by running: +{sys.executable} {extra}-m pip install -r {requirements_path} +If you are on the portable package you can run: update\\update_comfyui.bat to solve this problem. +""".strip() diff --git a/utils/json_util.py b/utils/json_util.py new file mode 100644 index 0000000000000000000000000000000000000000..da45af4f74f386973d3f1968d88b083ca5906d81 --- /dev/null +++ b/utils/json_util.py @@ -0,0 +1,26 @@ +def merge_json_recursive(base, update): + """Recursively merge two JSON-like objects. + - Dictionaries are merged recursively + - Lists are concatenated + - Other types are overwritten by the update value + + Args: + base: Base JSON-like object + update: Update JSON-like object to merge into base + + Returns: + Merged JSON-like object + """ + if not isinstance(base, dict) or not isinstance(update, dict): + if isinstance(base, list) and isinstance(update, list): + return base + update + return update + + merged = base.copy() + for key, value in update.items(): + if key in merged: + merged[key] = merge_json_recursive(merged[key], value) + else: + merged[key] = value + + return merged